diff --git a/.gitignore b/.gitignore index f09a9619..6a28be6d 100644 --- a/.gitignore +++ b/.gitignore @@ -10,6 +10,9 @@ venv .idea/dictionaries .idea/other.xml +# data for notebooks +notebooks/Parametric_UMAP/data/ + # Mac Finder layout .DS_Store @@ -25,4 +28,4 @@ umap_learn.egg-info # docs doc/auto_examples -doc/_build \ No newline at end of file +doc/_build diff --git a/doc/parametric_umap.rst b/doc/parametric_umap.rst index f672ce98..1fe9db7f 100644 --- a/doc/parametric_umap.rst +++ b/doc/parametric_umap.rst @@ -20,7 +20,11 @@ Parametric UMAP is simply a subclass of UMAP, so it can be used just like nonpar embedder = ParametricUMAP() embedding = embedder.fit_transform(my_data) -In this implementation, we use Keras and Tensorflow as a backend to train that neural network. The added complexity of a learned embedding presents a number of configurable settings available in addition to those in non-parametric UMAP. A set of Jupyter notebooks walking you through these parameters are available on the `GitHub repository `_ +In this implementation, we use Keras to train that neural network with either Tensorflow or PyTorch as a backend. To select the backend, you can set the environment variable :python:`KERAS_BACKEND` to either :python:`tensorflow` or :python:`torch`. For example, to use PyTorch as the backend: + +.. code:: python3 + import os + os.environ["KERAS_BACKEND"] = "torch" Defining your own network @@ -31,25 +35,25 @@ By default, Parametric UMAP uses 3-layer 100-neuron fully-connected neural netwo .. code:: python3 # define the network - import tensorflow as tf + import keras dims = (28, 28, 1) n_components = 2 - encoder = tf.keras.Sequential([ - tf.keras.layers.InputLayer(input_shape=dims), - tf.keras.layers.Conv2D( + encoder = keras.Sequential([ + keras.layers.InputLayer(input_shape=dims), + keras.layers.Conv2D( filters=32, kernel_size=3, strides=(2, 2), activation="relu", padding="same" ), - tf.keras.layers.Conv2D( + keras.layers.Conv2D( filters=64, kernel_size=3, strides=(2, 2), activation="relu", padding="same" ), - tf.keras.layers.Flatten(), - tf.keras.layers.Dense(units=256, activation="relu"), - tf.keras.layers.Dense(units=256, activation="relu"), - tf.keras.layers.Dense(units=n_components), + keras.layers.Flatten(), + keras.layers.Dense(units=256, activation="relu"), + keras.layers.Dense(units=256, activation="relu"), + keras.layers.Dense(units=n_components), ]) encoder.summary() -To load pass the data into ParametricUMAP, we first need to flatten it from 28x28x1 images to a 784-dimensional vector. +To load the data into ParametricUMAP, we first need to flatten it from 28x28x1 images to a 784-dimensional vector. .. code:: python3 @@ -67,7 +71,7 @@ We can then pass the network into ParametricUMAP and train: embedder = ParametricUMAP(encoder=encoder, dims=dims) embedding = embedder.fit_transform(train_images) -If you are unfamilar with Tensorflow/Keras and want to train your own model, we reccomend that you take a look at the `Tensorflow documentation `_. +If you are unfamilar with Keras and want to train your own model. We recommend the `Keras documentation `_. Saving and loading your model @@ -112,17 +116,17 @@ Like the encoder, a custom decoder can also be passed to ParametricUMAP, e.g. .. code:: python3 - decoder = tf.keras.Sequential([ - tf.keras.layers.InputLayer(input_shape=(n_components)), - tf.keras.layers.Dense(units=256, activation="relu"), - tf.keras.layers.Dense(units=7 * 7 * 256, activation="relu"), - tf.keras.layers.Reshape(target_shape=(7, 7, 256)), - tf.keras.layers.UpSampling2D((2)), - tf.keras.layers.Conv2D( + decoder = keras.Sequential([ + keras.layers.InputLayer(input_shape=(n_components)), + keras.layers.Dense(units=256, activation="relu"), + keras.layers.Dense(units=7 * 7 * 256, activation="relu"), + keras.layers.Reshape(target_shape=(7, 7, 256)), + keras.layers.UpSampling2D((2)), + keras.layers.Conv2D( filters=64, kernel_size=3, padding="same", activation="relu" ), - tf.keras.layers.UpSampling2D((2)), - tf.keras.layers.Conv2D( + keras.layers.UpSampling2D((2)), + keras.layers.Conv2D( filters=32, kernel_size=3, padding="same", activation="relu" ), @@ -178,7 +182,7 @@ It can sometimes be useful to train the embedder until some plateau in training .. code:: python3 keras_fit_kwargs = {"callbacks": [ - tf.keras.callbacks.EarlyStopping( + keras.callbacks.EarlyStopping( monitor='loss', min_delta=10**-2, patience=10, @@ -203,7 +207,6 @@ Additional important parameters * **loss_report_frequency:** If set to 1, an epoch in in the Keras embedding refers to a single iteration over the graph computed in UMAP. Setting :python:`loss_report_frequency` to 10, would split up that epoch into 10 seperate epochs, for more frequent reporting. * **n_training_epochs:** The number of epochs over the UMAP graph to train for (irrespective of :python:`loss_report_frequency`). Training the network for multiple epochs will result in better embeddings, but take longer. This parameter is different than :python:`n_epochs` in the base UMAP class, which corresponds to the maximum number of times an edge is trained in a single ParametricUMAP epoch. * **optimizer:** The optimizer used to train the neural network. by default Adam (:python:`tf.keras.optimizers.Adam(1e-3)`) is used. You might be able to speed up or improve training by using a different optimizer. -* **parametric_embedding:** If set to false, a non-parametric embedding is learned, using the same code as the parametric embedding, which can serve as a direct comparison between parametric and non-parametric embedding using the same optimizer. The parametric embeddings are performed over the entire dataset simultaneously. * **global_correlation_loss_weight:** Whether to additionally train on correlation of global pairwise relationships (multidimensional scaling) Extending the model diff --git a/notebooks/Parametric_UMAP/01.0-parametric-umap-mnist-embedding-basic.ipynb b/notebooks/Parametric_UMAP/01.0-parametric-umap-mnist-embedding-basic.ipynb deleted file mode 100644 index e5ae8d2c..00000000 --- a/notebooks/Parametric_UMAP/01.0-parametric-umap-mnist-embedding-basic.ipynb +++ /dev/null @@ -1,460 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Simple UMAP example\n", - "This notebook shows you how to run a UMAP projection on the MNIST dataset, as well as plot the loss, and save the model." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### load data" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-16T20:15:25.027973Z", - "start_time": "2021-04-16T20:15:23.102650Z" - } - }, - "outputs": [], - "source": [ - "from tensorflow.keras.datasets import mnist\n", - "(train_images, Y_train), (test_images, Y_test) = mnist.load_data()\n", - "train_images = train_images.reshape((train_images.shape[0], -1))/255.\n", - "test_images = test_images.reshape((test_images.shape[0], -1))/255." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-16T22:12:46.790121Z", - "start_time": "2020-08-16T22:12:46.759185Z" - } - }, - "source": [ - "### create parametric umap model" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-16T20:15:28.290406Z", - "start_time": "2021-04-16T20:15:25.029627Z" - } - }, - "outputs": [], - "source": [ - "from umap.parametric_umap import ParametricUMAP" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-16T20:15:28.297241Z", - "start_time": "2021-04-16T20:15:28.292808Z" - } - }, - "outputs": [], - "source": [ - "embedder = ParametricUMAP(n_epochs = 50, verbose=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-16T20:18:19.898828Z", - "start_time": "2021-04-16T20:15:28.299044Z" - }, - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ParametricUMAP(optimizer=)\n", - "Construct fuzzy simplicial set\n", - "Fri Apr 16 13:15:28 2021 Finding Nearest Neighbors\n", - "Fri Apr 16 13:15:28 2021 Building RP forest with 17 trees\n", - "Fri Apr 16 13:15:30 2021 parallel NN descent for 16 iterations\n", - "\t 0 / 16\n", - "\t 1 / 16\n", - "\t 2 / 16\n", - "\t 3 / 16\n", - "\t 4 / 16\n", - "Fri Apr 16 13:15:39 2021 Finished Nearest Neighbor Search\n", - "Fri Apr 16 13:15:42 2021 Construct embedding\n", - "Epoch 1/10\n", - "1905/1905 [==============================] - 15s 8ms/step - loss: 0.2224\n", - "Epoch 2/10\n", - "1905/1905 [==============================] - 14s 7ms/step - loss: 0.1372\n", - "Epoch 3/10\n", - "1905/1905 [==============================] - 14s 7ms/step - loss: 0.1230\n", - "Epoch 4/10\n", - "1905/1905 [==============================] - 14s 7ms/step - loss: 0.1141\n", - "Epoch 5/10\n", - "1905/1905 [==============================] - 14s 7ms/step - loss: 0.1102\n", - "Epoch 6/10\n", - "1905/1905 [==============================] - 14s 8ms/step - loss: 0.1076\n", - "Epoch 7/10\n", - "1905/1905 [==============================] - 14s 7ms/step - loss: 0.1062\n", - "Epoch 8/10\n", - "1905/1905 [==============================] - 14s 8ms/step - loss: 0.1044\n", - "Epoch 9/10\n", - "1905/1905 [==============================] - 14s 7ms/step - loss: 0.1040\n", - "Epoch 10/10\n", - "1905/1905 [==============================] - 14s 7ms/step - loss: 0.1028\n", - "1875/1875 [==============================] - 1s 528us/step\n", - "Fri Apr 16 13:18:19 2021 Finished embedding\n" - ] - } - ], - "source": [ - "embedding = embedder.fit_transform(train_images)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### plot results" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-16T20:18:20.046911Z", - "start_time": "2021-04-16T20:18:19.901067Z" - } - }, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-16T20:18:20.795607Z", - "start_time": "2021-04-16T20:18:20.049577Z" - } - }, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots( figsize=(8, 8))\n", - "sc = ax.scatter(\n", - " embedding[:, 0],\n", - " embedding[:, 1],\n", - " c=Y_train.astype(int),\n", - " cmap=\"tab10\",\n", - " s=0.1,\n", - " alpha=0.5,\n", - " rasterized=True,\n", - ")\n", - "ax.axis('equal')\n", - "ax.set_title(\"UMAP in Tensorflow embedding\", fontsize=20)\n", - "plt.colorbar(sc, ax=ax);" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### plotting loss" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-16T20:18:20.801208Z", - "start_time": "2021-04-16T20:18:20.797613Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['loss'])" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "embedder._history.keys()" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-16T20:18:20.905503Z", - "start_time": "2021-04-16T20:18:20.802520Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 0, 'Epoch')" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots()\n", - "ax.plot(embedder._history['loss'])\n", - "ax.set_ylabel('Cross Entropy')\n", - "ax.set_xlabel('Epoch')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### train the model for longer" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-16T20:29:02.372354Z", - "start_time": "2021-04-16T20:18:20.907117Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ParametricUMAP(optimizer=)\n", - "Construct fuzzy simplicial set\n", - "Fri Apr 16 13:18:21 2021 Finding Nearest Neighbors\n", - "Fri Apr 16 13:18:21 2021 Building RP forest with 17 trees\n", - "Fri Apr 16 13:18:22 2021 parallel NN descent for 16 iterations\n", - "\t 0 / 16\n", - "\t 1 / 16\n", - "\t 2 / 16\n", - "\t 3 / 16\n", - "\t 4 / 16\n", - "Fri Apr 16 13:18:24 2021 Finished Nearest Neighbor Search\n", - "Fri Apr 16 13:18:24 2021 Construct embedding\n", - "Epoch 1/10\n", - "7798/7798 [==============================] - 59s 7ms/step - loss: 0.1660\n", - "Epoch 2/10\n", - "7798/7798 [==============================] - 58s 7ms/step - loss: 0.1082\n", - "Epoch 3/10\n", - "7798/7798 [==============================] - 59s 8ms/step - loss: 0.1021\n", - "Epoch 4/10\n", - "7798/7798 [==============================] - 58s 7ms/step - loss: 0.0999\n", - "Epoch 5/10\n", - "7798/7798 [==============================] - 58s 7ms/step - loss: 0.0986\n", - "Epoch 6/10\n", - "7798/7798 [==============================] - 58s 7ms/step - loss: 0.0977\n", - "Epoch 7/10\n", - "7798/7798 [==============================] - 59s 8ms/step - loss: 0.0969\n", - "Epoch 8/10\n", - "7798/7798 [==============================] - 58s 7ms/step - loss: 0.0964\n", - "Epoch 9/10\n", - "7798/7798 [==============================] - 58s 7ms/step - loss: 0.0963\n", - "Epoch 10/10\n", - "7798/7798 [==============================] - 58s 7ms/step - loss: 0.0955\n", - "1875/1875 [==============================] - 1s 563us/step\n", - "Fri Apr 16 13:29:02 2021 Finished embedding\n" - ] - } - ], - "source": [ - "embedder = ParametricUMAP(n_epochs = 200, verbose=True)\n", - "\n", - "embedding = embedder.fit_transform(train_images)" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-16T20:51:54.215556Z", - "start_time": "2021-04-16T20:51:53.537083Z" - } - }, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots( figsize=(8, 8))\n", - "sc = ax.scatter(\n", - " embedding[:, 0],\n", - " embedding[:, 1],\n", - " c=Y_train.astype(int),\n", - " cmap=\"tab10\",\n", - " s=0.1,\n", - " alpha=0.5,\n", - " rasterized=True,\n", - ")\n", - "ax.axis('equal')\n", - "ax.set_title(\"UMAP in Tensorflow embedding\", fontsize=20)\n", - "plt.colorbar(sc, ax=ax);" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### saving and loading" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-16T20:29:02.377849Z", - "start_time": "2021-04-16T20:29:02.374766Z" - } - }, - "outputs": [], - "source": [ - "from umap.parametric_umap import load_ParametricUMAP" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-16T20:29:23.271918Z", - "start_time": "2021-04-16T20:29:02.379329Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "INFO:tensorflow:Assets written to: /tmp/model/encoder/assets\n", - "Keras encoder model saved to /tmp/model/encoder\n", - "INFO:tensorflow:Assets written to: /tmp/model/parametric_model/assets\n", - "Keras full model saved to /tmp/model/parametric_model\n", - "Pickle of ParametricUMAP model saved to /tmp/model/model.pkl\n" - ] - } - ], - "source": [ - "embedder.save('/tmp/model')" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-16T20:29:24.369130Z", - "start_time": "2021-04-16T20:29:23.274476Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Pickle of ParametricUMAP model loaded from /tmp/model/model.pkl\n", - "WARNING:tensorflow:No training configuration found in save file, so the model was *not* compiled. Compile it manually.\n", - "Keras encoder model loaded from /tmp/model/encoder\n", - "Keras full model loaded from /tmp/model/parametric_model\n" - ] - } - ], - "source": [ - "embedder = load_ParametricUMAP('/tmp/model')" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python [conda env:umap_dev_new]", - "language": "python", - "name": "conda-env-umap_dev_new-py" - }, - "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/notebooks/Parametric_UMAP/01.0-parametric-umap-mnist-torch.ipynb b/notebooks/Parametric_UMAP/01.0-parametric-umap-mnist-torch.ipynb new file mode 100644 index 00000000..6608cbe1 --- /dev/null +++ b/notebooks/Parametric_UMAP/01.0-parametric-umap-mnist-torch.ipynb @@ -0,0 +1,452 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Simple UMAP example\n", + "This notebook shows you how to run a UMAP projection on the MNIST dataset, as well as plot the loss, and save the model." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "os.environ[\"KERAS_BACKEND\"] = \"torch\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### load data" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-16T20:15:25.027973Z", + "start_time": "2021-04-16T20:15:23.102650Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "((60000, 784), (60000,))" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from torchvision import datasets, transforms\n", + "\n", + "# Download and load the MNIST dataset\n", + "mnist_train = datasets.MNIST(root='./data', train=True, download=True, transform=transforms.ToTensor())\n", + "\n", + "# Convert PyTorch tensor to NumPy array\n", + "train_images = mnist_train.data.numpy()\n", + "train_labels = mnist_train.targets.numpy()\n", + "train_images = train_images.reshape((train_images.shape[0], -1))/255.\n", + "train_images.shape, train_labels.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2020-08-16T22:12:46.790121Z", + "start_time": "2020-08-16T22:12:46.759185Z" + } + }, + "source": [ + "### create parametric umap model" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-16T20:15:28.290406Z", + "start_time": "2021-04-16T20:15:25.029627Z" + }, + "scrolled": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/n/groups/datta/tim_sainburg/conda_envs/parametricumap/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "from umap.parametric_umap import ParametricUMAP" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-16T20:15:28.297241Z", + "start_time": "2021-04-16T20:15:28.292808Z" + } + }, + "outputs": [], + "source": [ + "embedder = ParametricUMAP(n_epochs = 50, verbose=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-16T20:18:19.898828Z", + "start_time": "2021-04-16T20:15:28.299044Z" + }, + "scrolled": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ParametricUMAP()\n", + "Fri May 17 10:13:45 2024 Construct fuzzy simplicial set\n", + "Fri May 17 10:13:45 2024 Finding Nearest Neighbors\n", + "Fri May 17 10:13:45 2024 Building RP forest with 17 trees\n", + "Fri May 17 10:13:50 2024 NN descent for 16 iterations\n", + "\t 1 / 16\n", + "\t 2 / 16\n", + "\t 3 / 16\n", + "\t 4 / 16\n", + "\tStopping threshold met -- exiting after 4 iterations\n", + "Fri May 17 10:14:01 2024 Finished Nearest Neighbor Search\n", + "Fri May 17 10:14:03 2024 Construct embedding\n", + "Epoch 1/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m46s\u001b[0m 24ms/step - loss: 0.2301 - umap_loss: 0.2301\n", + "Epoch 2/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m44s\u001b[0m 23ms/step - loss: 0.1893 - umap_loss: 0.1893\n", + "Epoch 3/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m44s\u001b[0m 23ms/step - loss: 0.1834 - umap_loss: 0.1834\n", + "Epoch 4/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m45s\u001b[0m 23ms/step - loss: 0.1808 - umap_loss: 0.1808\n", + "Epoch 5/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m45s\u001b[0m 24ms/step - loss: 0.1796 - umap_loss: 0.1796\n", + "Epoch 6/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m45s\u001b[0m 23ms/step - loss: 0.1790 - umap_loss: 0.1790\n", + "Epoch 7/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m46s\u001b[0m 24ms/step - loss: 0.1785 - umap_loss: 0.1785\n", + "Epoch 8/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m48s\u001b[0m 25ms/step - loss: 0.1781 - umap_loss: 0.1781\n", + "Epoch 9/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m49s\u001b[0m 26ms/step - loss: 0.1779 - umap_loss: 0.1779\n", + "Epoch 10/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m51s\u001b[0m 27ms/step - loss: 0.1776 - umap_loss: 0.1776\n", + "\u001b[1m1875/1875\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 1ms/step\n", + "Fri May 17 10:21:50 2024 Finished embedding\n" + ] + } + ], + "source": [ + "embedding = embedder.fit_transform(train_images)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### plot results" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-16T20:18:20.046911Z", + "start_time": "2021-04-16T20:18:19.901067Z" + } + }, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-16T20:18:20.795607Z", + "start_time": "2021-04-16T20:18:20.049577Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots( figsize=(8, 8))\n", + "sc = ax.scatter(\n", + " embedding[:, 0],\n", + " embedding[:, 1],\n", + " c=train_labels,\n", + " cmap=\"tab10\",\n", + " s=0.1,\n", + " alpha=0.5,\n", + " rasterized=True,\n", + ")\n", + "ax.axis('equal')\n", + "ax.set_title(\"Parametric UMAP embedding\", fontsize=20)\n", + "plt.colorbar(sc, ax=ax);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### plotting loss" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-16T20:18:20.801208Z", + "start_time": "2021-04-16T20:18:20.797613Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['loss'])" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "embedder._history.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-16T20:18:20.905503Z", + "start_time": "2021-04-16T20:18:20.802520Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0, 'Epoch')" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots()\n", + "ax.plot(embedder._history['loss'])\n", + "ax.set_ylabel('Cross Entropy')\n", + "ax.set_xlabel('Epoch')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### saving and loading" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import tempfile\n", + "import shutil" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-16T20:29:02.377849Z", + "start_time": "2021-04-16T20:29:02.374766Z" + } + }, + "outputs": [], + "source": [ + "from umap.parametric_umap import load_ParametricUMAP" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "# Create a temporary directory\n", + "tmpdir = tempfile.mkdtemp()\n", + "# Define the model save path\n", + "model_save_path = os.path.join(tmpdir, 'model')\n", + "os.makedirs(model_save_path)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Keras encoder model saved to /tmp/tmpnbsgt855/model/encoder.keras\n", + "Keras full model saved to /tmp/tmpnbsgt855/model/parametric_model.keras\n", + "Thu May 16 17:27:28 2024 Worst tree score: 0.59231667\n", + "Thu May 16 17:27:28 2024 Mean tree score: 0.60575784\n", + "Thu May 16 17:27:28 2024 Best tree score: 0.61593333\n", + "Thu May 16 17:27:30 2024 Forward diversification reduced edges from 900000 to 384210\n", + "Thu May 16 17:27:32 2024 Reverse diversification reduced edges from 384210 to 384210\n", + "Thu May 16 17:27:35 2024 Degree pruning reduced edges from 421012 to 421009\n", + "Thu May 16 17:27:35 2024 Resorting data and graph based on tree order\n", + "Thu May 16 17:27:35 2024 Building and compiling search function\n", + "Thu May 16 17:27:44 2024 Building and compiling search function\n", + "Pickle of ParametricUMAP model saved to /tmp/tmpnbsgt855/model/model.pkl\n" + ] + } + ], + "source": [ + "embedder.save(model_save_path)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-16T20:29:24.369130Z", + "start_time": "2021-04-16T20:29:23.274476Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Thu May 16 17:27:47 2024 Building and compiling search function\n", + "Pickle of ParametricUMAP model loaded from /tmp/tmpnbsgt855/model/model.pkl\n", + "Keras encoder model loaded from /tmp/tmpnbsgt855/model/encoder.keras\n" + ] + } + ], + "source": [ + "embedder = load_ParametricUMAP(model_save_path)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step\n" + ] + } + ], + "source": [ + "test = embedder.transform(train_images)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "# Clean up the temporary directory\n", + "shutil.rmtree(tmpdir)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "parametricumap", + "language": "python", + "name": "parametricumap" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/Parametric_UMAP/01.1-parametric-umap-mnist-tensorflow.ipynb b/notebooks/Parametric_UMAP/01.1-parametric-umap-mnist-tensorflow.ipynb new file mode 100644 index 00000000..3bea2ff7 --- /dev/null +++ b/notebooks/Parametric_UMAP/01.1-parametric-umap-mnist-tensorflow.ipynb @@ -0,0 +1,529 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Simple UMAP example\n", + "This notebook shows you how to run a UMAP projection on the MNIST dataset, as well as plot the loss, and save the model." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "os.environ[\"KERAS_BACKEND\"] = \"tensorflow\"\n", + "os.environ['TF_XLA_FLAGS'] = '--tf_xla_auto_jit=2'" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2024-05-16 17:17:28.009727: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n", + "2024-05-16 17:17:28.437044: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n", + "To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", + "2024-05-16 17:17:30.932156: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')]\n" + ] + } + ], + "source": [ + "# allocate GPU\n", + "import tensorflow as tf\n", + "physical_devices = tf.config.list_physical_devices('GPU')\n", + "print(physical_devices)\n", + "tf.config.experimental.set_memory_growth(physical_devices[0], True)\n", + "tf.config.set_soft_device_placement(True)\n", + "tf.config.run_functions_eagerly(True)\n", + "tf.executing_eagerly()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### load data" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-16T20:15:25.027973Z", + "start_time": "2021-04-16T20:15:23.102650Z" + } + }, + "outputs": [], + "source": [ + "from tensorflow.keras.datasets import mnist\n", + "(train_images, Y_train), (test_images, Y_test) = mnist.load_data()\n", + "train_images = train_images.reshape((train_images.shape[0], -1))/255.\n", + "test_images = test_images.reshape((test_images.shape[0], -1))/255.\n", + "#train_images = train_images[:1000]" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2020-08-16T22:12:46.790121Z", + "start_time": "2020-08-16T22:12:46.759185Z" + } + }, + "source": [ + "### create parametric umap model" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-16T20:15:28.290406Z", + "start_time": "2021-04-16T20:15:25.029627Z" + }, + "scrolled": true + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/n/groups/datta/tim_sainburg/conda_envs/parametricumap_tf/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "from umap.parametric_umap import ParametricUMAP" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-16T20:15:28.297241Z", + "start_time": "2021-04-16T20:15:28.292808Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2024-05-16 17:17:42.848893: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1928] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 43137 MB memory: -> device: 0, name: NVIDIA A40, pci bus id: 0000:ca:00.0, compute capability: 8.6\n" + ] + } + ], + "source": [ + "embedder = ParametricUMAP(n_epochs = 50, verbose=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-16T20:18:19.898828Z", + "start_time": "2021-04-16T20:15:28.299044Z" + }, + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ParametricUMAP()\n", + "Thu May 16 17:17:43 2024 Construct fuzzy simplicial set\n", + "Thu May 16 17:17:43 2024 Finding Nearest Neighbors\n", + "Thu May 16 17:17:43 2024 Building RP forest with 17 trees\n", + "Thu May 16 17:17:48 2024 NN descent for 16 iterations\n", + "\t 1 / 16\n", + "\t 2 / 16\n", + "\t 3 / 16\n", + "\t 4 / 16\n", + "\tStopping threshold met -- exiting after 4 iterations\n", + "Thu May 16 17:17:59 2024 Finished Nearest Neighbor Search\n", + "Thu May 16 17:18:02 2024 Construct embedding\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/n/groups/datta/tim_sainburg/conda_envs/parametricumap_tf/lib/python3.10/site-packages/tensorflow/python/data/ops/structured_function.py:258: UserWarning: Even though the `tf.config.experimental_run_functions_eagerly` option is set, this option does not apply to tf.data functions. To force eager execution of tf.data functions, please use `tf.data.experimental.enable_debug_mode()`.\n", + " warnings.warn(\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1/10\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/n/groups/datta/tim_sainburg/conda_envs/parametricumap_tf/lib/python3.10/site-packages/keras/src/layers/layer.py:361: UserWarning: `build()` was called on layer 'umap_model', however the layer does not have a `build()` method implemented and it looks like it has unbuilt state. This will cause the layer to be marked as built, despite not being actually built, which may cause failures down the line. Make sure to implement a proper `build()` method.\n", + " warnings.warn(\n", + "Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.\n", + "Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.\n", + "Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.\n", + "Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.\n", + "Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.\n", + "Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.\n", + "Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.\n", + "Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.\n", + "Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.\n", + "Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.\n", + "Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.\n", + "Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.\n", + "Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.\n", + "Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.\n", + "Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.\n", + "Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.\n", + "Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.\n", + "Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.\n", + "Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.\n", + "Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.\n", + "Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.\n", + "Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.\n", + "Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.\n", + "Numba: Attempted to fork from a non-main thread, the TBB library may be in an invalid state in the child process.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m124s\u001b[0m 47ms/step - loss: 0.2292\n", + "Epoch 2/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m90s\u001b[0m 47ms/step - loss: 0.1880\n", + "Epoch 3/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m91s\u001b[0m 48ms/step - loss: 0.1831\n", + "Epoch 4/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m90s\u001b[0m 47ms/step - loss: 0.1810\n", + "Epoch 5/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m91s\u001b[0m 48ms/step - loss: 0.1801\n", + "Epoch 6/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m90s\u001b[0m 47ms/step - loss: 0.1794\n", + "Epoch 7/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m88s\u001b[0m 46ms/step - loss: 0.1790\n", + "Epoch 8/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m87s\u001b[0m 46ms/step - loss: 0.1789\n", + "Epoch 9/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m87s\u001b[0m 46ms/step - loss: 0.1786\n", + "Epoch 10/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m89s\u001b[0m 47ms/step - loss: 0.1783\n", + "\u001b[1m1875/1875\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 3ms/step\n", + "Thu May 16 17:33:51 2024 Finished embedding\n" + ] + } + ], + "source": [ + "embedding = embedder.fit_transform(train_images)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### plot results" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-16T20:18:20.046911Z", + "start_time": "2021-04-16T20:18:19.901067Z" + } + }, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-16T20:18:20.795607Z", + "start_time": "2021-04-16T20:18:20.049577Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots( figsize=(8, 8))\n", + "sc = ax.scatter(\n", + " embedding[:, 0],\n", + " embedding[:, 1],\n", + " c=Y_train.astype(int),\n", + " cmap=\"tab10\",\n", + " s=0.1,\n", + " alpha=0.5,\n", + " rasterized=True,\n", + ")\n", + "ax.axis('equal')\n", + "ax.set_title(\"Parametric UMAP embedding\", fontsize=20)\n", + "plt.colorbar(sc, ax=ax);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### plotting loss" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-16T20:18:20.801208Z", + "start_time": "2021-04-16T20:18:20.797613Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['loss'])" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "embedder._history.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-16T20:18:20.905503Z", + "start_time": "2021-04-16T20:18:20.802520Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0, 'Epoch')" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots()\n", + "ax.plot(embedder._history['loss'])\n", + "ax.set_ylabel('Cross Entropy')\n", + "ax.set_xlabel('Epoch')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### saving and loading" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import tempfile\n", + "import shutil" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-16T20:29:02.377849Z", + "start_time": "2021-04-16T20:29:02.374766Z" + } + }, + "outputs": [], + "source": [ + "from umap.parametric_umap import load_ParametricUMAP" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "# Create a temporary directory\n", + "tmpdir = tempfile.mkdtemp()\n", + "# Define the model save path\n", + "model_save_path = os.path.join(tmpdir, 'model')\n", + "os.makedirs(model_save_path)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Keras encoder model saved to /tmp/tmpe7rbbn0g/model/encoder.keras\n", + "Keras full model saved to /tmp/tmpe7rbbn0g/model/parametric_model.keras\n", + "Thu May 16 17:33:59 2024 Worst tree score: 0.60201667\n", + "Thu May 16 17:33:59 2024 Mean tree score: 0.60879216\n", + "Thu May 16 17:33:59 2024 Best tree score: 0.61820000\n", + "Thu May 16 17:34:01 2024 Forward diversification reduced edges from 900000 to 384327\n", + "Thu May 16 17:34:04 2024 Reverse diversification reduced edges from 384327 to 384327\n", + "Thu May 16 17:34:06 2024 Degree pruning reduced edges from 421196 to 421193\n", + "Thu May 16 17:34:06 2024 Resorting data and graph based on tree order\n", + "Thu May 16 17:34:06 2024 Building and compiling search function\n", + "Thu May 16 17:34:15 2024 Building and compiling search function\n", + "Pickle of ParametricUMAP model saved to /tmp/tmpe7rbbn0g/model/model.pkl\n" + ] + } + ], + "source": [ + "embedder.save(model_save_path)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-16T20:29:24.369130Z", + "start_time": "2021-04-16T20:29:23.274476Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Thu May 16 17:34:19 2024 Building and compiling search function\n", + "Pickle of ParametricUMAP model loaded from /tmp/tmpe7rbbn0g/model/model.pkl\n", + "Keras encoder model loaded from /tmp/tmpe7rbbn0g/model/encoder.keras\n" + ] + } + ], + "source": [ + "embedder = load_ParametricUMAP(model_save_path)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/n/groups/datta/tim_sainburg/conda_envs/parametricumap_tf/lib/python3.10/site-packages/tensorflow/python/data/ops/structured_function.py:258: UserWarning: Even though the `tf.config.experimental_run_functions_eagerly` option is set, this option does not apply to tf.data functions. To force eager execution of tf.data functions, please use `tf.data.experimental.enable_debug_mode()`.\n", + " warnings.warn(\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step\n" + ] + } + ], + "source": [ + "test = embedder.transform(train_images)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "# Clean up the temporary directory\n", + "shutil.rmtree(tmpdir)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "parametricumap_tf", + "language": "python", + "name": "parametricumap_tf" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/Parametric_UMAP/02.0-parametric-umap-mnist-embedding-convnet.ipynb b/notebooks/Parametric_UMAP/02.0-parametric-umap-mnist-embedding-convnet.ipynb index 59291ff7..26264e61 100644 --- a/notebooks/Parametric_UMAP/02.0-parametric-umap-mnist-embedding-convnet.ipynb +++ b/notebooks/Parametric_UMAP/02.0-parametric-umap-mnist-embedding-convnet.ipynb @@ -17,19 +17,10 @@ "start_time": "2021-04-16T07:27:12.933922Z" } }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "env: CUDA_DEVICE_ORDER=PCI_BUS_ID\n", - "env: CUDA_VISIBLE_DEVICES=1\n" - ] - } - ], + "outputs": [], "source": [ - "%env CUDA_DEVICE_ORDER=PCI_BUS_ID\n", - "%env CUDA_VISIBLE_DEVICES=1" + "import os\n", + "os.environ[\"KERAS_BACKEND\"] = \"torch\"" ] }, { @@ -48,12 +39,29 @@ "start_time": "2021-04-16T07:27:12.939606Z" } }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "((60000, 784), (60000,))" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "from tensorflow.keras.datasets import mnist\n", - "(train_images, Y_train), (test_images, Y_test) = mnist.load_data()\n", + "from torchvision import datasets, transforms\n", + "\n", + "# Download and load the MNIST dataset\n", + "mnist_train = datasets.MNIST(root='./data', train=True, download=True, transform=transforms.ToTensor())\n", + "\n", + "# Convert PyTorch tensor to NumPy array\n", + "train_images = mnist_train.data.numpy()\n", + "train_labels = mnist_train.targets.numpy()\n", "train_images = train_images.reshape((train_images.shape[0], -1))/255.\n", - "test_images = test_images.reshape((test_images.shape[0], -1))/255." + "train_images.shape, train_labels.shape" ] }, { @@ -66,6 +74,15 @@ { "cell_type": "code", "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import keras" + ] + }, + { + "cell_type": "code", + "execution_count": 4, "metadata": { "ExecuteTime": { "end_time": "2021-04-16T07:27:15.551864Z", @@ -74,48 +91,114 @@ }, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model: \"sequential\"\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "conv2d (Conv2D) (None, 14, 14, 64) 640 \n", - "_________________________________________________________________\n", - "conv2d_1 (Conv2D) (None, 7, 7, 128) 73856 \n", - "_________________________________________________________________\n", - "flatten (Flatten) (None, 6272) 0 \n", - "_________________________________________________________________\n", - "dense (Dense) (None, 512) 3211776 \n", - "_________________________________________________________________\n", - "dense_1 (Dense) (None, 512) 262656 \n", - "_________________________________________________________________\n", - "dense_2 (Dense) (None, 2) 1026 \n", - "=================================================================\n", - "Total params: 3,549,954\n", - "Trainable params: 3,549,954\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] + "data": { + "text/html": [ + "
Model: \"sequential\"\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1mModel: \"sequential\"\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
+       "┃ Layer (type)                     Output Shape                  Param # ┃\n",
+       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
+       "│ conv2d (Conv2D)                 │ (None, 14, 14, 32)     │           320 │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ conv2d_1 (Conv2D)               │ (None, 7, 7, 64)       │        18,496 │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ flatten (Flatten)               │ (None, 3136)           │             0 │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ dense (Dense)                   │ (None, 256)            │       803,072 │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ dense_1 (Dense)                 │ (None, 256)            │        65,792 │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ z (Dense)                       │ (None, 2)              │           514 │\n",
+       "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
+       "
\n" + ], + "text/plain": [ + "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n", + "┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\n", + "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n", + "│ conv2d (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m14\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m320\u001b[0m │\n", + "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", + "│ conv2d_1 (\u001b[38;5;33mConv2D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m7\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m18,496\u001b[0m │\n", + "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", + "│ flatten (\u001b[38;5;33mFlatten\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m3136\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", + "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", + "│ dense (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m803,072\u001b[0m │\n", + "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", + "│ dense_1 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m65,792\u001b[0m │\n", + "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", + "│ z (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2\u001b[0m) │ \u001b[38;5;34m514\u001b[0m │\n", + "└─────────────────────────────────┴────────────────────────┴───────────────┘\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
 Total params: 888,194 (3.39 MB)\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m888,194\u001b[0m (3.39 MB)\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
 Trainable params: 888,194 (3.39 MB)\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m888,194\u001b[0m (3.39 MB)\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
 Non-trainable params: 0 (0.00 B)\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ - "import tensorflow as tf\n", - "dims = (28,28, 1)\n", + "dims = (28, 28, 1)\n", "n_components = 2\n", - "encoder = tf.keras.Sequential([\n", - " tf.keras.layers.InputLayer(input_shape=dims),\n", - " tf.keras.layers.Conv2D(\n", - " filters=64, kernel_size=3, strides=(2, 2), activation=\"relu\", padding=\"same\"\n", + "encoder = keras.Sequential([\n", + " keras.layers.Input(shape=dims),\n", + " keras.layers.Conv2D(\n", + " filters=32, kernel_size=3, strides=(2, 2), activation=\"relu\", padding=\"same\"\n", " ),\n", - " tf.keras.layers.Conv2D(\n", - " filters=128, kernel_size=3, strides=(2, 2), activation=\"relu\", padding=\"same\"\n", + " keras.layers.Conv2D(\n", + " filters=64, kernel_size=3, strides=(2, 2), activation=\"relu\", padding=\"same\"\n", " ),\n", - " tf.keras.layers.Flatten(),\n", - " tf.keras.layers.Dense(units=512, activation=\"relu\"),\n", - " tf.keras.layers.Dense(units=512, activation=\"relu\"),\n", - " tf.keras.layers.Dense(units=n_components),\n", + " keras.layers.Flatten(),\n", + " keras.layers.Dense(units=256, activation=\"relu\"),\n", + " keras.layers.Dense(units=256, activation=\"relu\"),\n", + " keras.layers.Dense(units=n_components, name=\"z\"),\n", "])\n", "encoder.summary()" ] @@ -134,44 +217,50 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": { "ExecuteTime": { "end_time": "2021-04-16T07:27:18.628794Z", "start_time": "2021-04-16T07:27:15.554550Z" } }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/n/groups/datta/tim_sainburg/conda_envs/parametricumap/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], "source": [ "from umap.parametric_umap import ParametricUMAP" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": { "ExecuteTime": { "end_time": "2021-04-16T07:27:18.633924Z", "start_time": "2021-04-16T07:27:18.630297Z" } }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/mnt/cube/tsainbur/Projects/github_repos/umap/umap/parametric_umap.py:129: UserWarning: tensorflow_probability not installed. Setting global_correlation_loss_weight to zero.\n", - " warn(\n" - ] - } - ], + "outputs": [], "source": [ - "embedder = ParametricUMAP(encoder=encoder, dims=dims, n_components=n_components, n_training_epochs=1, verbose=True)" + "embedder = ParametricUMAP(\n", + " encoder=encoder, \n", + " dims=dims, \n", + " n_components=n_components, \n", + " n_training_epochs=1, \n", + " verbose=True\n", + ")" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": { "ExecuteTime": { "end_time": "2021-04-16T07:51:13.054044Z", @@ -183,42 +272,24 @@ "name": "stdout", "output_type": "stream", "text": [ - "ParametricUMAP(dims=(28, 28, 1),\n", - " encoder=,\n", - " optimizer=)\n", - "Construct fuzzy simplicial set\n", - "Fri Apr 16 00:27:18 2021 Finding Nearest Neighbors\n", - "Fri Apr 16 00:27:18 2021 Building RP forest with 17 trees\n", - "Fri Apr 16 00:27:20 2021 parallel NN descent for 16 iterations\n", - "\t 0 / 16\n", + "ParametricUMAP(dims=(28, 28, 1), encoder=)\n", + "Thu May 16 17:19:07 2024 Construct fuzzy simplicial set\n", + "Thu May 16 17:19:08 2024 Finding Nearest Neighbors\n", + "Thu May 16 17:19:08 2024 Building RP forest with 17 trees\n", + "Thu May 16 17:19:13 2024 NN descent for 16 iterations\n", "\t 1 / 16\n", "\t 2 / 16\n", "\t 3 / 16\n", "\t 4 / 16\n", - "Fri Apr 16 00:27:30 2021 Finished Nearest Neighbor Search\n", - "Fri Apr 16 00:27:32 2021 Construct embedding\n", + "\tStopping threshold met -- exiting after 4 iterations\n", + "Thu May 16 17:19:28 2024 Finished Nearest Neighbor Search\n", + "Thu May 16 17:19:31 2024 Construct embedding\n", "Epoch 1/10\n", - "7798/7798 [==============================] - 137s 18ms/step - loss: 0.1203\n", + "\u001b[1m7797/7797\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m522s\u001b[0m 66ms/step - loss: 0.1969\n", "Epoch 2/10\n", - "7798/7798 [==============================] - 140s 18ms/step - loss: 0.0989\n", + "\u001b[1m7797/7797\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m467s\u001b[0m 60ms/step - loss: 0.1773\n", "Epoch 3/10\n", - "7798/7798 [==============================] - 146s 19ms/step - loss: 0.0957\n", - "Epoch 4/10\n", - "7798/7798 [==============================] - 141s 18ms/step - loss: 0.0943\n", - "Epoch 5/10\n", - "7798/7798 [==============================] - 143s 18ms/step - loss: 0.0934\n", - "Epoch 6/10\n", - "7798/7798 [==============================] - 132s 17ms/step - loss: 0.0930\n", - "Epoch 7/10\n", - "7798/7798 [==============================] - 133s 17ms/step - loss: 0.0926\n", - "Epoch 8/10\n", - "7798/7798 [==============================] - 132s 17ms/step - loss: 0.0922\n", - "Epoch 9/10\n", - "7798/7798 [==============================] - 132s 17ms/step - loss: 0.0918\n", - "Epoch 10/10\n", - "7798/7798 [==============================] - 132s 17ms/step - loss: 0.0917\n", - "1875/1875 [==============================] - 2s 1ms/step\n", - "Fri Apr 16 00:51:12 2021 Finished embedding\n" + "\u001b[1m2884/7797\u001b[0m \u001b[32m━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━━━━\u001b[0m \u001b[1m4:49\u001b[0m 59ms/step - loss: 0.1762" ] } ], @@ -235,7 +306,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 11, "metadata": { "ExecuteTime": { "end_time": "2021-04-16T07:51:13.059804Z", @@ -249,7 +320,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 12, "metadata": { "ExecuteTime": { "end_time": "2021-04-16T07:51:13.242523Z", @@ -263,7 +334,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 14, "metadata": { "ExecuteTime": { "end_time": "2021-04-16T07:51:13.937323Z", @@ -273,14 +344,12 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -289,14 +358,14 @@ "sc = ax.scatter(\n", " embedding[:, 0],\n", " embedding[:, 1],\n", - " c=Y_train.astype(int),\n", + " c=train_labels.astype(int),\n", " cmap=\"tab10\",\n", " s=0.1,\n", " alpha=0.5,\n", " rasterized=True,\n", ")\n", "ax.axis('equal')\n", - "ax.set_title(\"UMAP in Tensorflow embedding\", fontsize=20)\n", + "ax.set_title(\"Parametric UMAP embedding\", fontsize=20)\n", "plt.colorbar(sc, ax=ax);" ] }, @@ -309,7 +378,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 15, "metadata": { "ExecuteTime": { "end_time": "2021-04-16T07:51:13.941059Z", @@ -323,7 +392,7 @@ "dict_keys(['loss'])" ] }, - "execution_count": 10, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -334,7 +403,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 16, "metadata": { "ExecuteTime": { "end_time": "2021-04-16T07:51:14.037995Z", @@ -348,20 +417,18 @@ "Text(0.5, 0, 'Epoch')" ] }, - "execution_count": 11, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -372,6 +439,23 @@ "ax.set_xlabel('Epoch')" ] }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Done!\n" + ] + } + ], + "source": [ + "print('Done!')" + ] + }, { "cell_type": "code", "execution_count": null, @@ -382,9 +466,9 @@ ], "metadata": { "kernelspec": { - "display_name": "Python [conda env:umap_dev_new]", + "display_name": "parametricumap", "language": "python", - "name": "conda-env-umap_dev_new-py" + "name": "parametricumap" }, "language_info": { "codemirror_mode": { @@ -396,7 +480,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.8" + "version": "3.10.14" } }, "nbformat": 4, diff --git a/notebooks/Parametric_UMAP/03.0-parametric-umap-mnist-embedding-convnet-with-reconstruction.ipynb b/notebooks/Parametric_UMAP/03.0-parametric-umap-mnist-embedding-convnet-with-reconstruction.ipynb deleted file mode 100644 index 236f1ad8..00000000 --- a/notebooks/Parametric_UMAP/03.0-parametric-umap-mnist-embedding-convnet-with-reconstruction.ipynb +++ /dev/null @@ -1,691 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Reconstruction with a custom network. \n", - "This notebook extends the last notebook to simultaneously train a decoder network, which translates from embedding back into dataspace. It also shows you how to use validation data for the reconstruction network during training." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### load data" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T20:48:49.032658Z", - "start_time": "2021-04-20T20:48:47.085191Z" - } - }, - "outputs": [], - "source": [ - "import tensorflow as tf" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T20:48:49.044974Z", - "start_time": "2021-04-20T20:48:49.034381Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "'2.4.1'" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tf.__version__" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T20:48:49.457948Z", - "start_time": "2021-04-20T20:48:49.046475Z" - } - }, - "outputs": [], - "source": [ - "from tensorflow.keras.datasets import mnist\n", - "(train_images, Y_train), (test_images, Y_test) = mnist.load_data()\n", - "train_images = train_images.reshape((train_images.shape[0], -1))/255.\n", - "test_images = test_images.reshape((test_images.shape[0], -1))/255." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### define the encoder network" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T20:48:49.463905Z", - "start_time": "2021-04-20T20:48:49.460001Z" - } - }, - "outputs": [], - "source": [ - "import tensorflow as tf" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T20:48:49.476054Z", - "start_time": "2021-04-20T20:48:49.469799Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "'2.4.1'" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tf.__version__" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T20:48:49.538037Z", - "start_time": "2021-04-20T20:48:49.480424Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "[PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU'),\n", - " PhysicalDevice(name='/physical_device:GPU:1', device_type='GPU')]" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tf.config.list_physical_devices('GPU')" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T20:48:51.341141Z", - "start_time": "2021-04-20T20:48:49.542747Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model: \"sequential\"\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "conv2d (Conv2D) (None, 14, 14, 32) 320 \n", - "_________________________________________________________________\n", - "conv2d_1 (Conv2D) (None, 7, 7, 64) 18496 \n", - "_________________________________________________________________\n", - "flatten (Flatten) (None, 3136) 0 \n", - "_________________________________________________________________\n", - "dense (Dense) (None, 128) 401536 \n", - "_________________________________________________________________\n", - "dense_1 (Dense) (None, 128) 16512 \n", - "_________________________________________________________________\n", - "dense_2 (Dense) (None, 2) 258 \n", - "=================================================================\n", - "Total params: 437,122\n", - "Trainable params: 437,122\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ], - "source": [ - "dims = (28,28, 1)\n", - "n_components = 2\n", - "encoder = tf.keras.Sequential([\n", - " tf.keras.layers.InputLayer(input_shape=dims),\n", - " tf.keras.layers.Conv2D(\n", - " filters=32, kernel_size=3, strides=(2, 2), activation=\"relu\", padding=\"same\"\n", - " ),\n", - " tf.keras.layers.Conv2D(\n", - " filters=64, kernel_size=3, strides=(2, 2), activation=\"relu\", padding=\"same\"\n", - " ),\n", - " tf.keras.layers.Flatten(),\n", - " tf.keras.layers.Dense(units=128, activation=\"relu\"),\n", - " tf.keras.layers.Dense(units=128, activation=\"relu\"),\n", - " tf.keras.layers.Dense(units=n_components),\n", - "])\n", - "encoder.summary()" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T20:48:51.421311Z", - "start_time": "2021-04-20T20:48:51.342900Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model: \"sequential_1\"\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "dense_3 (Dense) (None, 128) 384 \n", - "_________________________________________________________________\n", - "dense_4 (Dense) (None, 6272) 809088 \n", - "_________________________________________________________________\n", - "reshape (Reshape) (None, 7, 7, 128) 0 \n", - "_________________________________________________________________\n", - "conv2d_transpose (Conv2DTran (None, 14, 14, 64) 73792 \n", - "_________________________________________________________________\n", - "conv2d_transpose_1 (Conv2DTr (None, 28, 28, 32) 18464 \n", - "_________________________________________________________________\n", - "conv2d_transpose_2 (Conv2DTr (None, 28, 28, 1) 289 \n", - "=================================================================\n", - "Total params: 902,017\n", - "Trainable params: 902,017\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ], - "source": [ - "decoder = tf.keras.Sequential([\n", - " tf.keras.layers.InputLayer(input_shape=(n_components)),\n", - " tf.keras.layers.Dense(units=128, activation=\"relu\"),\n", - " tf.keras.layers.Dense(units=7 * 7 * 128, activation=\"relu\"),\n", - " tf.keras.layers.Reshape(target_shape=(7, 7, 128)),\n", - " tf.keras.layers.Conv2DTranspose(\n", - " filters=64, kernel_size=3, strides=(2, 2), padding=\"SAME\", activation=\"relu\"\n", - " ),\n", - " tf.keras.layers.Conv2DTranspose(\n", - " filters=32, kernel_size=3, strides=(2, 2), padding=\"SAME\", activation=\"relu\"\n", - " ),\n", - " tf.keras.layers.Conv2DTranspose(\n", - " filters=1, kernel_size=3, strides=(1, 1), padding=\"SAME\", activation=\"sigmoid\"\n", - " )\n", - "])\n", - "decoder.summary()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-16T22:12:46.790121Z", - "start_time": "2020-08-16T22:12:46.759185Z" - } - }, - "source": [ - "### create parametric umap model" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T20:48:56.364427Z", - "start_time": "2021-04-20T20:48:51.422923Z" - } - }, - "outputs": [], - "source": [ - "from umap.parametric_umap import ParametricUMAP" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T20:48:56.369810Z", - "start_time": "2021-04-20T20:48:56.366115Z" - } - }, - "outputs": [], - "source": [ - "embedder = ParametricUMAP(\n", - " encoder=encoder,\n", - " decoder=decoder,\n", - " dims=dims,\n", - " n_components=n_components,\n", - " n_training_epochs=1, # dicates how many total training epochs to run\n", - " n_epochs = 50, # dicates how many times edges are trained per 'epoch' to keep consistent with non-parametric UMAP\n", - " parametric_reconstruction= True,\n", - " reconstruction_validation=test_images,\n", - " parametric_reconstruction_loss_fcn = tf.keras.losses.MSE,\n", - " verbose=True,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T20:48:56.394144Z", - "start_time": "2021-04-20T20:48:56.371052Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "(60000, 784)" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "train_images.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T21:00:30.171817Z", - "start_time": "2021-04-20T20:48:56.395427Z" - }, - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ParametricUMAP(decoder=,\n", - " dims=(28, 28, 1),\n", - " encoder=,\n", - " optimizer=,\n", - " parametric_reconstruction=True,\n", - " parametric_reconstruction_loss_fcn=,\n", - " reconstruction_validation=array([[0., 0., 0., ..., 0., 0., 0.],\n", - " [0., 0., 0., ..., 0., 0., 0.],\n", - " [0., 0., 0., ..., 0., 0., 0.],\n", - " ...,\n", - " [0., 0., 0., ..., 0., 0., 0.],\n", - " [0., 0., 0., ..., 0., 0., 0.],\n", - " [0., 0., 0., ..., 0., 0., 0.]]))\n", - "Construct fuzzy simplicial set\n", - "Tue Apr 20 13:48:56 2021 Finding Nearest Neighbors\n", - "Tue Apr 20 13:48:56 2021 Building RP forest with 17 trees\n", - "Tue Apr 20 13:49:03 2021 parallel NN descent for 16 iterations\n", - "\t 0 / 16\n", - "\t 1 / 16\n", - "\t 2 / 16\n", - "\t 3 / 16\n", - "\t 4 / 16\n", - "Tue Apr 20 13:49:19 2021 Finished Nearest Neighbor Search\n", - "Tue Apr 20 13:49:23 2021 Construct embedding\n", - "Epoch 1/10\n", - "1905/1905 [==============================] - 167s 52ms/step - loss: 0.2818 - reconstruction_loss: 0.0570 - umap_loss: 0.2248 - val_loss: 0.0411 - val_reconstruction_loss: 0.0411 - val_umap_loss: 0.0000e+00\n", - "Epoch 2/10\n", - "1905/1905 [==============================] - 53s 28ms/step - loss: 0.1698 - reconstruction_loss: 0.0394 - umap_loss: 0.1304 - val_loss: 0.0381 - val_reconstruction_loss: 0.0381 - val_umap_loss: 0.0000e+00\n", - "Epoch 3/10\n", - "1905/1905 [==============================] - 54s 28ms/step - loss: 0.1550 - reconstruction_loss: 0.0373 - umap_loss: 0.1178 - val_loss: 0.0382 - val_reconstruction_loss: 0.0382 - val_umap_loss: 0.0000e+00\n", - "Epoch 4/10\n", - "1905/1905 [==============================] - 53s 28ms/step - loss: 0.1465 - reconstruction_loss: 0.0354 - umap_loss: 0.1112 - val_loss: 0.0369 - val_reconstruction_loss: 0.0369 - val_umap_loss: 0.0000e+00\n", - "Epoch 5/10\n", - "1905/1905 [==============================] - 52s 27ms/step - loss: 0.1417 - reconstruction_loss: 0.0345 - umap_loss: 0.1072 - val_loss: 0.0361 - val_reconstruction_loss: 0.0361 - val_umap_loss: 0.0000e+00\n", - "Epoch 6/10\n", - "1905/1905 [==============================] - 53s 28ms/step - loss: 0.1386 - reconstruction_loss: 0.0343 - umap_loss: 0.1043 - val_loss: 0.0383 - val_reconstruction_loss: 0.0383 - val_umap_loss: 0.0000e+00\n", - "Epoch 7/10\n", - "1905/1905 [==============================] - 52s 27ms/step - loss: 0.1361 - reconstruction_loss: 0.0339 - umap_loss: 0.1022 - val_loss: 0.0358 - val_reconstruction_loss: 0.0358 - val_umap_loss: 0.0000e+00\n", - "Epoch 8/10\n", - "1905/1905 [==============================] - 54s 28ms/step - loss: 0.1345 - reconstruction_loss: 0.0337 - umap_loss: 0.1008 - val_loss: 0.0371 - val_reconstruction_loss: 0.0371 - val_umap_loss: 0.0000e+00\n", - "Epoch 9/10\n", - "1905/1905 [==============================] - 55s 29ms/step - loss: 0.1332 - reconstruction_loss: 0.0336 - umap_loss: 0.0995 - val_loss: 0.0369 - val_reconstruction_loss: 0.0369 - val_umap_loss: 0.0000e+00\n", - "Epoch 10/10\n", - "1905/1905 [==============================] - 53s 28ms/step - loss: 0.1326 - reconstruction_loss: 0.0335 - umap_loss: 0.0991 - val_loss: 0.0354 - val_reconstruction_loss: 0.0354 - val_umap_loss: 0.0000e+00\n", - "1875/1875 [==============================] - 2s 1ms/step\n", - "Tue Apr 20 14:00:29 2021 Finished embedding\n" - ] - } - ], - "source": [ - "embedding = embedder.fit_transform(train_images)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### plot reconstructions" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T21:00:30.811242Z", - "start_time": "2021-04-20T21:00:30.173336Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "10/10 [==============================] - 0s 6ms/step\n", - "10/10 [==============================] - 0s 16ms/step\n" - ] - } - ], - "source": [ - "test_images_recon = embedder.inverse_transform(embedder.transform(test_images.reshape(len(test_images), 28,28,1)))" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T21:00:31.109389Z", - "start_time": "2021-04-20T21:00:30.812977Z" - } - }, - "outputs": [], - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T21:00:31.126659Z", - "start_time": "2021-04-20T21:00:31.110829Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "(0.0, 1.0)" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "np.min(test_images), np.max(test_images)" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T21:00:33.312491Z", - "start_time": "2021-04-20T21:00:31.138264Z" - } - }, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "nex = 10\n", - "fig, axs = plt.subplots(ncols=10, nrows=2, figsize=(nex, 2))\n", - "for i in range(nex):\n", - " axs[0, i].matshow(np.squeeze(test_images[i].reshape(28, 28, 1)), cmap=plt.cm.Greys)\n", - " axs[1, i].matshow(\n", - " np.squeeze(test_images_recon[i].reshape(28, 28, 1)),\n", - " cmap=plt.cm.Greys, vmin = 0, vmax = 1\n", - " )\n", - "for ax in axs.flatten():\n", - " ax.axis(\"off\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### plot results" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T21:00:33.316627Z", - "start_time": "2021-04-20T21:00:33.314255Z" - } - }, - "outputs": [], - "source": [ - "embedding = embedder.embedding_" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T21:00:33.327645Z", - "start_time": "2021-04-20T21:00:33.318156Z" - } - }, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T21:00:34.504597Z", - "start_time": "2021-04-20T21:00:33.330600Z" - } - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAckAAAHnCAYAAADTmaY3AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAAEAAElEQVR4nOz9d5hd132YC79r99Pb9IIZdIAACbCLVG+WLBfFJY7t2LHj2LLjOHZuquMU29f5Et+UL9W5iWzHSmJbcbckS7ZEURLVWEWCBEl0YHqf09uu6/6xzgyHQwAsAjggsd/nOc+ZWWftvdfep/z2rwspJTExMTExMTEvRdvpBcTExMTExNyoxEIyJiYmJibmCsRCMiYmJiYm5grEQjImJiYmJuYKxEIyJiYmJibmCsRCMiYmJiYm5grEQvImQAgxKYSQQoiP7fRa3uwIIbJCiP8khJgSQgS9635cCPGu3t+/tNNrvFERQnxJCLFjOWlCiB/tvUc/+iq2+Vhvm8ktY/H37U3ETSEkt/xAfekqczY+2FPbxje+OFII8dDLbB9tzH2Z9fyTLfs8eJV5W4+98XCFEJd6X85brnac14MrrPGqj51e83XmXwN/GzgJ/Cvgl4GlHV1RTEzMa8bY6QW8gQiAdwghDkopz1zm9R8HRG/eFa+rEEIAfwOQvfk/Afz9lzn208Cf9v7OAe8CfgT4PiHEe6SUj7zM9vPAYaD2MvNeCydQgmArk6j1TQMfuw7HvJH5duCslPI7tg4KIQ7t0HpiXn+u5/ct5nUmFpKvnD8D/hJKGP6DrS8IIXTgrwOPAyPA6FX28y3AbpTw+FbgR4QQvyCl9K6yzQkp5S9tOZ4AfgsliP4V8O6rLVxK6QOnrzbntSKlPIESlJsIId7VW9vU1nXfJIwAX97pRcTsHNfz+xbz+nNTmFuvEc8BD6OEmrnttW9D/Tj++ivYz0/0nn8d+B2gD/iuV7MQqWoJ/tfev/e83Pwr+Ui2+lOEED8phDgphOgKIZaFEB8VQuRezbpeCUIIQwjx00KIR4QQdSFEWwjxlBDiZ4QQ2ra5m+vu/f1/hBBrvTU+IYT49svs3xJC/KwQ4kkhRKW3/ykhxCeEEO+7zPz3CiH+QghR7u33rBDiVy937hs+s94x/rkQ4kzP/P2xLf40Abxzi3n5S6/gmuwXQvwvIcS8EMITQiz0/t+/bd5P9vb5E9vGf6w33hZC2Ntee6x3XomXW0dvflEI8a+EEKeEEB0hRE0I8aAQ4lsuM3fThyeEeL8Q4itCiKYQYlUI8VtCiHxv3u1CiD/rvR9NIcQnxRYf3mX2awsh/kXPreAKIS4IIX5RCGFdYf6h3nsw25u/LIT4XXEFV4YQYp8Q4g9662kJIb4uhPi2l7ku7+udX6v3WflTcQXrwLX+vgkhPiCE+Nr2Y4vL+ENjrj2xkHx1/DrQD3x42/hPAE3g/1xtYyHEIPCdKHPc11HaIMBHXsNaRO/5Wvj4/nXv8TTwayhz0U8Af3IN9r2JUDcXf9Y7Rh74XeCjqM/hfwb+5xU2nQAeQ5lx/zfwe8BR4BNCiO1a9MeA/wiYwP8C/hNKs7sV+OC29fwk8ADwVpQ5+z8AZeAfAV/f+JG/DH8E/DTw9d42J3vH3TA7T/f+/mVextwshLgbeAL4IZQl4t8CjwB/FXhCCHHXlukP9p7fu2037+k9J4D7tuw7B9wBPCyl7FxtHb35E8A3gJ8HVoH/hrrWh4G/2C6ct/CdwKe3bHMO+FHgT4UQbwG+irJa/SbwNeA7gE+LbTdFW/h94MeATwH/BfUZ/yXgj4QQYutEIcQHgSdR1+tx1Hv/IPDdwGNCiDu2zd+Pur7fi7rp/Y/AHOr9/+4rXJfvBT4L3AX8AfDfgVJv+91XOIer8Yq/b0KIvwJ8Brh9y7ELvWNPvoZjx7xapJRv+gfKhyeBL11lzmRvztS28R/tjf8LIInyM3x2y+ujKD/kr/f+n6On7F3mGD/f29c/3jL2DSAC9l1m/saxP7ZtXKAEigQefAXnP3mF/XysNz4D7NoybqAEiwTuuVbXG/VDJ1ECUd8yrqN+QCXw4cusWwK/uG1fH+iNf2bLWK53LZ/Yuv8tr5e2/D0BuEAdOLRt3n/t7fuj28a/1Bt/Bui7wrlf9nO25Zr80rb38VRv/K9um/9XeuOnAW3L+DSwAogtYwsowRACv7Jl/MO9ffyzV/i+fal3/b5/23geZVLvAIOX+XwGwDu3jGuomw+JuunYfm4vea+3Xd+zQGHLuIMSChL44S3jBaACrAG3bNvXEdSN65Pbxj/X28/PbRvfuFYS+NEt42lgHfCBu7Zt8++3bDN5rb9vQKZ3fi5wbNu+fvVyx44f1/4Ra5KvAillG6X9vH+LiePHUD/yVzW19u6Afxz1I/S/trz0MdSP5Y9fZfPjQohf6j3+PerO+a+hfrT+yas/k5fwf0spZzb+kVIGvKDlvqw595XQ0xp+BhXp+X9JKcMtxwuBv0dPWFxm82nUTQpbtvks6sdm6/o2zJ0u6jqzbZv1Lf/+EGAB/0VKud1/9E+ABvDD282XPf6ZlHLtMuOvlvuBQyhN73e2rfX3UBrYQeBtW176AsqacSuAUBHOw8Afoj4XW7XMjb8f5GUQQhwD3gn8kZTyRRYRKWUV+EWUsPqey2z+cSnlQ1vmRyiNH+DZ7efGC5//41dYzq9IKStb9tcF/nHv3x/bMu+voQT4L0opn9+25udQ38nbe9cIIcQY8H7gEkpD3Tr/E8Dlotc/DBSB35VSPrHttV/itQXnvNLv24dR5/c7Usqnt+3jXwDV13DsmFdJHLjz6vl14KeAvyGE+EVUpOozUsrHXma79wB7UVro/Jbx30WZ2H5UCPHPpHL6b+dY7wHqjnYR9SP0q9t/HF4j27/8ALO958I12D/AAZSJ6hzwT7dZzTbooEx72zmxVahuYZYt5kUpZV0I8SmUOe+EEOKPgK8Aj/ZucLayYYb7wvadSikrQoingHeghNj2H6iXe69fKVdcw5bxt6FMbV/eMvajKAH4DC+YWh9EaTB/VwiRkVI2eq81X+F6N65jTlw+l7O/93y59+dyn5+F3vM3LvPaxud/7ApruZyw+gpKY719y9jGmo9dYc0Hes+Hgee3bPvVK3yevoS6UdjKxnv0kjVJKWtCiBOX2ebleKXft831XubYzd6x3/Uqjx3zKrlZhOSGVnE1zXnjtZdoIFuRUj4phHgSFc36CMps97dfwRo2/I4f27a/9d4P+/eg7hz/8DLb/k8p5Y++gmO8VqqXGQt6z/o1Okap97wfpZVcifRlxqpXmBvw0vf0r6B8ij/ICz7CrhDiD4G/L6Vc7o1tBEksXmHfG+P5y7x2rfIeX8satvol/33veU5KeVYI8SDwD1GBQ4+jTI6f6WkqL8fG+/P+3uNKXO79uZw2FbyC17YHwG2wvH1AShkKIdaBgS3DG2u+kq90g401b1zvl+y/x+Xe19eyzctRvczY5b5vL3fsK43HXENuFnPrxhe1dJU5fb3n6ivY30dRvsj/htJ+fvtqk4UQ/aj0EYCPi5cm12+YsF5LAM8bhY334E+klOIqj9cSCLGJlLIjpfwlKeUBYBfKrPrV3vPWG5CN9QxdYVfD2+ZtPca1CJZ6TWuQUi4AZ1CC0EZpEhuC86uAB7yPF0ytV9JSr7SWn3uZ9+evv8L9fTMMbh8QKs2qhPIhb1/zsZdZ8//cNv8l++9xuffhtWxzrdg41ysd+0rjMdeQm0VInkH5qQ4IIa4kKDdMN9tNa5fjd4EWylz0Bz2fzdX4EZT/6xuooIXLPVaB9wkhvikhcQNzGnUD8hbx0hSa64KUcrbnD/sAysz7ti3v/1O953dt364X1Xoc6KICa64XV1zDtvEnt40/iNKO/iZKy3wQNn3mj6AE5FYz7CthoyDF21/h/OvJ5cyXb0dZvp7aMvZq17yx7dt6Qnc777rM2Ma1f8maetHDx1/hsV8Lm+u9zLHT1/nYMT1uCiHZc/z/H9SX7N9cJox8jBcKBHzsFeyvgUon+C7gn76CJWwE5fy0lPLHL/dAhXa/XADPG5aeye8/o7Sj/yQuk7cnhBgW30SpPSFEvxDi3su8lEJFCgYoTQuU9u8Df1sIsW/b/F8BssBvSynd17qeV8DXUDdwb+ulGWzS+/8dqEjP7T6pDe3wH2/7f+Pvo6i0jHVe2U0fvaCUrwDfLYT4scvNEULcKoQYuNxr15h/JoTY9M0JIRxU0Qx4IcBl4+8q8ItCiJcEmAkhNKEKWwAgpZxDRd3uRgWRbZ37YS4vnD+BijD9wW3pOKACd3Iv2eLa8QmUJvtXe4FVW/mnXN4VEHONuVl8kqCiJ+9G+RLvE0I8gDJnTKB8gRng/9kapXc1pJQvcaZfjt6X9CBw8mWCe34TFVX514UQv/gK/UhvNH4FFYD0U8B3CCG+gAriGED5Kt+KugavNRhpFHhECHEKpQHMooTdt6PMYv+pd4ODlHJKCPF3UHlqTwohfh+lzb8TZVU4jfJtXjeklFII8SOoH+7fE0J8onfcgyjzfAP4a71o0a18EeU7HwBObwsEexD1490P/OGrNA3/IErI/qYQ4meBR1FCaAy4DSV870OloFxPTgHP9fzIPur7uReVi7kRNbvhz/9eVH7hIz2f7HOoa7Ort9YSKip3g7+FSif5D0IVSHga2Ie64d0I+tqkFyDzEVS+6FeEEL+H8hW/DXU9voy6mbnm9ALRfhp1Q/f13md0ERUVfQwVTPROXiaOIuab46bQJGEz/P9e1I9wExUh+I9QQQoPAd8mpfz563DojaCC33iZ9U0Bn0dpWt9xtblvVHqRu38JFbp/BiW8/h5KK9eAf4aqQvRamUIFBS2hSvX9XVSC+CWUAPg729bzX1Gm2EdQfuG/ixI8/wa4T0pZ/ibW8oqQUj6Kunn7XdSP+j9A/Qh+HLi79/r2bcq8UApwu8/xUZQr4HKvvdxa5oA7Ud+REJWO87O99cwAP4kqnHC9+T7gf6C+Bz+D+mz8EvA924W+lPJBlAD/r6jo3p9CWWOOos7/+7fNPwe8BVUQ4q3AzwHjqM/lH19uMVLKP0R9Rr/RW9tPofI/70N9tq4bUsrfRVX0ehoVlPY3UdrlfajfMXixnzbmGiOuXQxCTExMTMzrQc+nehGwpZTXM3jopuem0SRjYmJi3mgIIfJCiOS2MYHySe7iCtpvzLUj1iRjYmJiblB6tWl/D1VObwoV1fwWVGTrLKpU3vX2Eb+pEEL8HMoNJlDlRP/DVefHQjImJibmxqSXEvYvUP7TflSw5RyqUcC/3FIcI+YVIIQ4isp0uAcV6f4XwN/s+aovy80U3RoTExPzhkJKeYnL1zOOeW0cBh7ZKFMphHgIFdn8r6+0QeyTjImJiYm5WXgWeIcQotTz9X4IFd18RW4oTbKvr09OTk7u9DJiYmJiYoBvfOMba1LK/pef+eo5+M53y1b52mdZzT/7zHOoalkbfFRK+VEAKeUpIcT/g8pNbqJSa66ak35DCcnJyUmeeOJyBfJjYmJiYl5vhBDT12vfrXKZn/vkX1zz/f7DPSNdKeX26kibSCk3SoEihPiXKB/vFbmhhGRMTExMTMz1RAgxIKVcEULsQhUbue9q82MhGRMTExNzM/FHvUYHPvC3tjb4vhyxkIyJiYmJuWmQUr6qTjdxdGtMTExMTMwViIVkTExMTEzMFYiFZExMTExMzBWIhWRMTExMTMwViIVkTExMTEzMFYiFZExMTExMzBW4JkJSCPE/hBArQohnt4z9khBiXghxovf40LU4VkxMTExMzOvFtdIkPwZ88DLj/15Kebz3+Mw1OlZMTExMTMzrwjURklLKLwPXvlJtTExMTEzMDnK9fZI/I4R4pmeOLVznY8XExMTExFxTrqeQ/H+BvcBxYBH4d5ebJIT4iBDiCSHEE6urq9dxOTExMTExMa+O6yYkpZTLUspQShkBvw7cc4V5H5VS3iWlvKu//7q0LYuJiYmJiXlNXDchKYQY3vLvd6E6QsfExMTExLxhuCZdQIQQHwfeBfQJIeaAXwTeJYQ4DkhgCvjJa3GsmJiYmJiY14trIiSllD9wmeHfvBb7jomJeQOxdgEuPAB3fwS0uFZJzBuf+FMcExPzzSMlRCGsnoGl5+BMLy26XYZTn4blU3DpqzD/1M6uMybmVRI3XY6JifnmOf95aCzB4e8AAfgunPkLkJImOs2v/XcGDYnIDkNttjdP7PSqY2JellhIxsTEvGZafotybZYxv0NYuYDxZ38fEgW49yPw5X8Dc8+g3fIhgsCF6ix4XXjq45AZBsOBuSfgjh8C3dzpU4mJuSyxkIyJiXlttMs0GvO0Zh/GX3yaYOEExsDtIDRYPKn8k61FktMPk6zNgt+GbhXSg/DJn4PAg9wwDByE8XtB03f6jGJiXkIsJGNiYl49UQTVOYZkwNDke5CJEfTF03Du8+Ck4fk/BcOC7AjIEJrLkN8LCLAy0G0ooVidhz/8CSjug/f/c8iOQnsVhm7d6TOMiQHiwJ2YmJjXwvKz4FZh9A4o7kbmxtF3vxOEwG/VCdod6LsFbvs+QCeUEt+twvoUTH0V2hUIXShMQqsM01+HP/wI/PFPwCP/fUdPLSZmK7EmGRMT8+rpP6SEXOBS/9qfsLYSsGckD+kSoroCiQysPAerp0CGBHaeyHURYRPMLEZnBTwb8nsgPwHNReiWoSohPwl/9ndh+Dgc/0EIPdBt0GNzbMzrTywkY2JiXj2GpR5A+vi7MdeWIVgAq4CR00ETIAylJTaXMYWOFDohEbpfB81RgTvzT4CTB82Cbh00U2moywtgZ6GxAH/+C9C3H0wbjn2/0j5jYl4nYiEZExPzTaHlBklkB+DZ87D7fug7DKc/CTOPQqcKsosmAbuIHppACMIEtwLoYCUh6CrB2l6GC19WAjg9qHIsG4vgtsC0IPDhrT8HiezOnnTMTUMsJGNiYr55OhXlV7SzMH47WDasXYRkSQm2ykXw2jB0FOqLqvBAZIF0obUIekaNYYJXBQ94+KPg1SCUkBuFu34YWmsw/zjse6/aT+hBYWKHTz7mzUwcuBMTE/PNkyzCLd8OyQLMfUP5K4u78OtLdFs10C2kk4XSfjWnuw66BelhwALDBKGDZr+wz+aiqvwctJQgnX0EBg5Dbhec/yKc/H1YfFpV+4mJuU7EmmRMTMy1Ydf9MHIHnPk0tFuQ7iMqHkJbfZ4wWaDV3wdrCxD1k7UXIYzASoMTQbeiBK0ArHGonIfIA6sf8rugtQQrZ2Hl36qI2iiAvoNQm1d/x8UIYq4TsZCMiYm5NhiWMn+e/GOIJBz6VlieJrJSmKPHsQd2Q+IAcvl5aOeUzzL0IVUAy4FuDXQbb+hORHUa0zChMQthG4QFvg9RV+VYTtyrgn0e+yjICN7yU3ExgpjrQmxujYmJuTYsn4LKNBT2QH4UcuPYe+/FOfgeRGkfdnYfdsrBGdkLXlMVFfA7Spv0u8oX2VmGiw8gNUeZX5GqMs/I7dCYV/Vhi3vBTEFuHG7/IVg4AV/8lyo6tja/wxch5s1GrEnGxMRcG6wkICA/rgRfexna6zBwCKrT8MRvwuBtUF+AlVNKE7TTsHIGRAToQIgVNJUJNXQBA6SA3DDB4O3IhacxvvExRN9+SJRgz/1wy3dB+TysPK802dzozl6HmDcVsZCMiYm5NhQmVLm6/Liq3zr/lNIqrbTS8HwXFk7Q7tSRyV2kcKG1AskcZIZg8RmQFoQdIiIqpMkaGqaRIJh6BFfY2LSQbohYbEHkqtZcVgLG71QCd+DwTl+FmDcZsZCMiYm5dmgaTNyn0jlyY6oG68WHwGuooJxuhfbwO9Hba6SapyFoQ/4AyECZTzNDsHYGIghlDrwZCOpEnSUCvZ+UMJUPMvIBqQoPOCklmGcehcwoVGagsGuHL0TMm4VYSMbExFwzlpeXsW2bfD4P2WHVfHn+BAzeCq0KyCp91RPg1iE1AJqh8h01TRVDD9pw7IfRTn+SgcYKIEHLKK0xUQIjDdUZIESiIxFoVlIJ2JN/rFJGzjpwx1+DsTt38lLEvEmIhWRMTMw1Q9d1NK0XD9itQ+kgnP8SFMZh4ACIQ0qgNZahta66g5gJ6NaQ5Qs0hkZJnfpT9MaySgFBQLqI1+lwqrPCbaZGkgjQaMkMYVsjt/AU/PlZFd2a6oc7fxgSeaXNxhGvMd8ksZCMiYm5ZvT19ak/avNw+jPK9HrnX1N/F1S3kGm9xdzALt6W3AVPfEzVbn3m95CRJPBrSBFQT0/i6Un6tBp0W6R0yWG/jK73QXYX+A0S7TIRQJQBtw19e6E+DecfgJnHlKD84L9UvsqYmNdInAISExNz7TFsmHybqt362K9Dew3G3wILT5KbfYKxIIDznwOhUasuECDRzATFpo7RqmM253ESKWjXIfIRmk4OA1t6quhAGKELG1MDDA1kRzV5ri5Ccx1G71Qm3c/+Akx9BdzmTl+RmDcosZCMiYm59qT6YPAwlPb2ys8N0KjPEQUdChefYvLxj4OWgPf8As+LAh0sOrpNJzUM9/4Eif3vJF09pXyRYaBqwr7t74CVpVEPaPk22CnI7VWBPNgqr1JImHkYZr8G3SYsPguP/LrqNhIT8xqIza0xMTHXj+ww7H47LD3HM80ZhibvY6/bUb0jL3weNIN7ms+iGyY1HKzKJbATqiOInVN+TbcO9Tm49FUIXZxoFSmbysQqDHAyquBAdx3qSzDxNlVQvTCu8ieFDsunVdWe/n2QHtjpqxLzBiIWkjGvK1JKWq0WnuextrZGMplkaGiI2dlZBgYGSKVSO73EmGtJa1UVIddM7ikexAglpIrqMf80NBbQ+w+AmSC3eg6Gb1O+xMq00gQLE6oua+jBymmIPEzNBE1ChEotSYyC7qgUEzOp2nSZKchNwMBBKB5WxdCnv6Lqvg7fAXvfBULs7LW5yQnDFpXKozu9jJclFpIxrxtSSr74xS9Sr9e544470HWdbrfL5z73OSzLYnQ0rpTypkMYUNoH6SHMxgKsnVeCs7hbCUSvpYoIpEdVIfPpR1UAjtskkhZht4vpzYJuq9qwUc9DFHigp1UHEBmo7iFeG/QkAG1RIJg5S/bYe8BOwtv/gUozmXuCpcc/iuXVKA4eVWuL2RH6dI8fz09f8/3+q2u8v1hIxrwurK+v0+l0iKKIbreLlJJOp4Ou66ysrNDpdEgkEtTrde666y76+/t3eskx14JkQQXwLD8LBz9EZ6TL0gOfYKJ6Am3oEMw9DgO3qqIAhV2oAgEN6FSQwkE0OpBMqhZbzWUwHJXasXpG5VjaSWiuqXZaRhIMA0IfO51G2v0w9ygMHoPdJZWz6TURqX7sk3+sUlO+/f+vhGfMTYMQ4v8CfhyVVXsS+OtSyu6V5sefjpjXhSiKePTRRykWi+TzeZ555hlmZmYwTZN3vOMdjI2Nkc/nKZVKpNNxyP6bim5VFSW/9BD2o/+a4oCNpmvI6gwzjX105s5D+SLUFiBwYfAI3Pq96Ld+GGSHoFtTPkwZKBOpWwVdU8E8nSoETUBXAjTwgQC9co6UY0BlVqWjTH9dlcfr28+g75HqVFVFoFhA3lQIIUaBnwXuklIeRRUM/v6rbRN/QmKuO0EQcOrUKUZHR+l0Opw+fZrl5WWGhoZ47rnnCMOQ0dFRDh06xNGjRymXy6ytre30smOuFUO3Qv8BGLoVrTZNbv1BGDwEt3wnGbGEJZrK7NpaVmXp/DYU90B2GJlI4w0dUn0qB4+oVI52VQlDr9lruKwBAVG3RbdZJ0oOUB3ZhdeYUQULVp5Xa9AtOPUZWD8HzVWozfSEasxNhgEkhBAGkAQWXm5yTMx1Q0rJ6uoqp0+fJpfL0el0ME0TwzCYmpqi1Wrx1FNPoes6rVZrU4u0LEuVNgNmZ2cZHR3FsqwdPJOY18yFLyot8fYfVOXiFk9AZhRRX6AwlITMLdBt4uVKBIe+jeRXfg2e+m1I9GFOvhuzb78SoEunVWEAfUxFzS6fArNPmWG9Ll52L92mh2lFmPlJjDNfAd1QwvTEx9Wz11ZrMh1orMCFB2DwqKoCFAfyvFnoE0Jszfn5qJTyowBSynkhxL8FZoAO8Dkp5eeutrNYSMZcc8Iw5Pz584yPj3Py5EkajQZvf/vb+fznP08URQA0Gg0ajQaHDh0iiiJM02R+fp5UKoVhGNRqNfr6+ujv78dxHHT9xeXFgiCIhecNTq1WQ9M0MvkJsFJKCKUGkFaW9bZHbnACc+g2ovkTrJ9+CKvvVuznPwHdFgQdaJ9VRQI0XZlsO6ucTRzDLhSZqJ+F4qTSLBMRmB0cx8QJ1sDsI5U6AO6nwczBxFsBDUaOq7Zci0/BnX8DRKC2v/AlmHyryumMeTOwJqW863IvCCEKwIeB3UAV+AMhxA9JKX/7SjuLza0x1xxd1+nr68NxHIIgYH5+nocffhjXdQGlJYZhSK1W4+tf/zorKyvYtk2pVGJubo5UKsXk5CSrq6sEQcDw8DCtVot2u83q6ionT55E0zRs236J8Iy5ceh2u+o9L+2B8XvUYHESefR7CCKInCJSRniZNFZnlejpT+Esnlf9ICffogqU9x1SAnLhBEQhVmsZp7NGVJmGdplGrYJvJlT/ycaKMq821uHE74KRUbVc6/NAANV5pUFKCac/DVYWOk3lqyxM7tyFink9eR9wSUq5KqX0gT8G7r/aBrEmGXNdKJVKAHiex/r6Or7vE4YhzWaTwcFBhBCEYYiu61QqFc6dO0ez2SQMQ6anp9m7dy9nz57l6aefplgsMj8/j6Zp7Nmzh0qlQrVapa+vj3q9zp49e2Jt8gZkcHDwpYPZEbROlSG9CRqET/0ObVnBCZuUS7eTX/0SggD6j6gCAmjKR3n4Q8j+o0wsPYuvhXTaZ0nmJmiILoYTYQZtSA9Be1H5N6MOEEDHUHmWblb1rqzMqAo+1Sl4/pNKS93/QVSSZcxNwAzwFiFEEmVufS9w1XJMsZCMuS5EUUQYhriuy/j4OKurqzQaDYQQrFerOKaJrusEQUChUADAdV2klDSbTU6ePEkmkwGgXq9j2zaWZTE+Ps7BgwcJw5BkMkm1WkVK+ZLjh2HI7OwsIyMjsQC9kZh/EpycSg1ZPYdeOkBh/wcR3f8fydY0jN4NlQuw9BQk+sF2wBiHwKPy6O9Sz+xlwm6g5Q8juhVGxm+D2YeVtrr4DCAgaqpnHBBmLyK2AVZGCdL6oops7TZg7ayq6pPMQujDnnep3pQxb0qklI8KIf4QeBIIgKeAj15tm9jcGnNdWF1dZWpqinw+j6ZphGFIEARouk7guliJxObccrnMwMAAb3vb2ygWi6TTaYQQ1Go1giCg0+nQaDRYXl7miSeeoFarsbCwwOzsLI7jsLy8/KJju67L6dOnEUK80LYpZueYfhiqs+rvREF1/bj1eyGZB2EiciNw70dg9ztA+io4Z/Ru2Pce6JTh+U8RnvgdzPpFiu0LiPY6Rt8BpRle+jIEHs3AJHDbKOEogUj5QWUI7XXVy3L+SVh6Rv0f+qqyTyqvfJVeR6WfyHBnrlHM64aU8hellIeklEellD8spXSvNj/WJGOuC4VCgZWVFRYWFiiXy0xMTNDtdrl06RLCthkbHuZMvQ4orXNubo75+Xna7TZDQ0O4rksYhti2jeM4+L5POp3myJEjVCoVGo0GUkqefPJJJiYm2LXrhU70zabq+LBr1y5EHLG482QGlfYIqtLOBsXdEHQJl55GszKIve9SGmbQVQE2/YdU38nCLuTIHWjlGSzZgbZH2KwgBm9Fi3wwk7SjDGayn0jfj5Evoc0+ogoM2Dlor0K7po6ZyKs8S7+j0lKGb4MjH4ZuBYr7VApKTMwWYiEZc825cOECa2tr5PN5jh8/zoULF/B9H8MwyGaz5HI5ms0mhmHgui61Wo16vY6maWiaRrvdxrIsPM9D13VWV1exbZt6vc6JEycIw3Az+Kder7O0tMT8/DzJZJJCoUA6nWZ0dJRyuczCwsLm3xuvNRoNut0uY2NjO32pbg6Key4/nh9HagbVmT8mNfQ2nMaKMoM6OZUysnIK9r0PVs9j5EaQqRKN579Ievwo7vx5yE9i+mt4ssnAoVuQ3Ek0/RhidUm16up2gUgVNk/3gd9VAT66pYoQXPq6Gi/sUqba0gGYvB9Gj7+OFyfmRicWkjHXnHQ6zdLSEpOTk8zNzQFsmkzbbZWnlkwmSaVSdLtdwjBESkkURURRhG3b5HI56vU6yWSSdrtNJpPBsiyWl5fJ5XLk83lyuRxra2vMz8/zta99jU6nw+23306z2WRoaAjbtmm32zz55JPU63UOHTqEEIJkMhn7KW8QRHaY3PD70e08pIDQQyZKhAO7MdITUNoN+WfhsV/HNFKkUglMDaLOHL7m4msmbnIUuk1E0EIfOgzNRXCyqhReFMCu+5RPsnxeaalRqPIiq3NACM/+qQrgOfgt4LcgiuJKPDGbxEIy5pojhKBUKnHu3DlWV1cZGhpibW2N0dFRSqUSrutuapdh+IIPqFAo0Gq10DSNTqeDlJK1tTUsyyKVSrG4uEi9Z6JtNBocP358M0BICEEQBExPT9Pf38/JkycpFov4vk+n06Hb7ZLNZikUCrEJ9joRRREzMzMMDg6S2OJzfjmMqUeVL/Dwd8D5B3CXHqG2/BADidsQrRXl08xPQmoAu3wJZh9Fjt+FsX6RRGOGTHcBV3NpNuuUbAjzE2iXvoQX6CA07OqUEoKmBbveDq0F1QTaToGdUZ1DGssw9TDc8uG4qEDMi4iFZMw1xzRNpqamsEbGsAaGePzRF3Ikjx49ysLCAlJKgiB40Xbtdnsz0GZ9fR3DMHAchyiKaDQaaJrG7bffTrlc5vz583zpkUdIGsZmoI9hGKyvrzM0NMTU1BSVSoXV1VX6+/vZtWvXZg6m53kMDAzEwvIaI4TAtm0M4/I/K53OLJ5XJpc79uIX7vgh1Qpr9Sz4XezsQfr2fRvizIPKN9muQtAgai4QZfYi0qO4tTWc7BiMHoPZR4kufpFIL4DpEuIRSfBFEiEldmORduEWdNPA1jWwEmDvBacAiRzMPw5uS/WgdDKxkIx5EbFNIeaasrS0xMzMDNlsligMaTYbm+Xm6vU6n//857l48SIA/f39L+of2e126XQ6hGG4KcRc12VgYIB6vY7neSwvL1OpVABYwMDP5DZzMpvNJrquMzMzsxkd63ketVqNmZkZXNclCALWm63X/8LcBAghGB4exjTNy76u6yksqwSXvqL6Rb6wofIhGhYk8ojqNHqnDmEX1k5BIkfHW6U8sR+5633IiffSDAzCUMLYHUSl/Wh45MMV0HV0HAzDIS3XMKIKRNCsVmh0PFh6GqwUsjFH99KfEVUvKP+k0OC9v6yicMsXX58LFvOGINYkY64p6XQaKSWzs7N052cRQpBKpUgkEiQSCfL5PBcuXMDzPLrdF3enSSQS+L6Pbdusr68DSiudm5vD932CIKDZbJLNZrnllluYXV2jvbTApXWTwcFBLMui0+lQLpcZHh5maWkJwzDodrubhQcqusX5RBb74kUmJiaYmpoil8tttubaKH4wNDQUa5rXGMsqAkXIh5AeeOmE/oOqGo6ZUn9X58BMQ/kijjOKsTiP2ToJus1Y9zT4CXimhqYZkBhAz42C10RvLUIQ4Bf2UV1fIvD6MC0TXdMIohZGZQ4ZBrRzfZiVS0pTTRfh/OfgwLeAdnkhH3NzEgvJmGtKOp0mnU4zMzOD53mkUinGxsYYGhri/PnzzM7OvsgPCSqIRwiBaZqYpkkURQghyGQyaJpGvV6nUCjQaDSwbRvf95XJNgjwXFc9PA/DMBBCMDIywm233Ua9XsdxHDRNY2lpiVarhf3EYwz09zPfqLO4uEgURWiaRrFY5MKFC2Sz2U3TcMx1ojBx5dcGDqkHwNAt8PB/h9oMIvIxi/vA9WDXPTBxP3zt12DxOTqWhcjtIvLLRDLE8FVnDzM9SLEyQ2TNg5ZiLfl2kkMaxsrTaKFP0U9C2FZNnnfdDZ0KnPo0DB+LCwrEbBILyZjrwv79+zl8+DDrCwuUz53j1KlTzCwtU3N9jJ6Q1DSNQqFAu90mlUohhNgsTReG4WaTZiHEZu1W3/fJZrN0PQ/dNDdTRSzL4o477kDTNObm5njooYdoNpvk83mWl5exbRvP8+h02rhzs6yvrzM4OEgul+PMmTN0u12q1SphGHL48OEdvno3N5Hn0X3uORIH9iBSJaVZdtdUYQE7CecfhGM/AHYCpE9op9FMi3ZqAKtdwWgKVbPVEJhaqMrS+WuM8iRcXAPdAULQE3Ds+1Vh8/kTcPozqkflXT+205cg5gYiFpIx1wwpJc899xy+73PkyBEsyyIRBISXLjE8OsrJ6Rm6CAZTKYIgwHVdXNdFCEGn06HdbSOkQNf1zeAPy7I2A3c2gn3W19cxHQfDMJFSYlkWmqbxyCOPIIQgiqLNbiIbKSeDg4MMDQ1RqVSo1+uYpslb3vIWOp0OnueRz+cZGRl5iQn4ZqLb8rGTxo6bmdvtNpVGg7HAVW2svCYkSzD3GKRH4dSfwMk/UIn/qQHSxb3qtWSJTnKIYLgP3ckhhm+F9SmlIRJAYxFkiPRdOgNHSXoVVb/VzMChD0B6ENlcw3/st7Du+P7Lm4RjbjpiIRlzzRBCMDY2hu/7mKbJ4uIitVqNi1KyvLSMTKTI18podoqEbeP2/JLpdJoFbwEtqTFijBBFEUEQbAq8KIo267NumGpdt41jmuT6+6lWKjSbzc02XKBSRDZSTs6fP8/09DTVapVEIoFpmti2zSOPPILv+4yNjfH0008DMDExwdDQzVd1JYoks6fKjB4okMzubA5ppGmIPXsQTgLyY6pDx/oFFewz+xigK5NtbR4aC7D3neDVwUojFp+gUnexTYOsW4P8CAweVmkk3QpYGVw9ybyXYaw7j9ldwkCDseNQ2E3NGac2N8XE7hnVHcRK7ui1iNl5YiEZc03ZaJQMkEqlyGQyjI2N8alPfYpUs45mGLT8gEXTIV/qh7UVaq0aWkLDcR26QXczAAeUJun7L3SPNwxDpY6EqkarpmlYnQ4h4GsaQohN4To3N8dcpYLwfaIg2DTZ2rbN+Pj4ZqSsEIJCobC5vyeeeIKhoSFGRkY2tVfLsnZcw7qeaJpgz/F+dGPnA96z2SzZbFb9M3ybetZN2P12yO1SWqNTgLG7YfZRmHlYjVsJ7ItfJtJLGOG6qsWaGVEmVF2HRBHyEzhRyO7GGSLhUxdjOHaSJDokC+REmZTuKNPr+nnksb/ypn7fY16enf9GxLwpkb4PX/86luuSTqcZGxvD0DW6usGKaTMRBRS6bSXUpKCYKOJoDoZhUK/XN7XCbre7GdTjOM6LOn50u11lPgVcwLYdMpkMQojNCj6dRotqEKHrOlGknoUQdLtdpJQ4jkOlUmFlZQXP84iiiIsXL/LFL36Rp59+muXlZR566CEef/xxfN9/Uwf13AgC8ooMHVWJ/0Sw971QuQRrZ+DOH4YDH1QVcrp1hARncBjT1GHtAqxfhM666vghgMjHb1YwgjaW7hAN3IuvZ5VGOnwcMXIHZv8BMB1alTozz63v9JnH7DCxJhlzfTAMlgsFlp57jrHx8c1UkLBWpxAESCTtnsBJJ9JYgYVMSFqt1qaA7O/vp9VSOY2XSxnZQDdNIt9H+Dpu6L1I87SJSKHMtRv9K9vtNouLiwwMDJBMJqnVakgpyeVypFIpRkdHcV2Xer3OwMAA4+PjdLtdVlZW8H2fycnJ63vtYi5Ppwqr50AGkBlWJeamH1HtrkbvhFOfgsFDaNULqqNIcwWQMHirKkpQGCdYOU/YaqClUugyoC98Fp8ua4spSukvIMbuVJ1F7v8ZnMYy/eYc0LfDJx6zk9zAt44xb3S0vj6SqRTZbJajR4/S39/P0PAQ77v/vk2zbD6fx/d9pJTs37+ffD6/WWBgaXWdRqNBs9kkCIIrJqn7vo+u63TDFh2vvTm+0Y9yw1wa9Eyu3W6XbreL7/tUKhX6+vrwfZ9Go8HFixc3ixlspKbs27eP22+/ncHBwbgo+nXCCyJOL9Uv2xt0k+wYM9UO7dUpVQg9PaAq9eQmCKMQrzyjBGduXGmNA4de6Bk5egckihh73oa+5z50KcFrw9pZZLeDMC04/wA88mugGarXZdgl2X+ZxtExNxXXREgKIf6HEGJFCPHslrGiEOIBIcS53nPhWhwr5o2BEIK9e/eye/duFhYWWFlZYXV1FSEEfX19LK+s4Okq0V/XdfL5PGfPnmV1dRXTNOlLpZChj9/b10aHkCuRy+WI5AuBO1sjW0FpottptVoYhkEmk8HzPE6fPk25XKZarbK6usr8/DzPPvssn/3sZ1lbW+P8+fObRQ5iri1uELLW8AijqwjJ/e8he+f3YQ/uV4E7oQ+3fjcks6zNXWSm9E6lQXbrqoh50EWmStQufAV36VlV9u65P8VceEyVn0v3g57GOv5tlMYHEWYS0CHVpyJqC7tRvSljbmaulbn1Y8B/Af7XlrGfBx6UUv6qEOLne///o2t0vJg3COl0mvX1ddrtNrt372Z4eJjTp0+DlFhhiB8G6L1i2LVajZSmYzSbrAUBAjBRAk/XdUzTJAgCwjAknU5v9o0EqJbL0JubTqfRdX2zfB2oqFhN0zAMA9/38X2f0dFRlpeXWVlZ2Sxp1+l0qNfrLCwsEAQBhUKB8fFxFhYWKJVKlEol2u02yWQc9XgtyTgmb9t/ebNmtfokptlHKrWL/NgBKP111Q9y+JjSGgt7KaSLFOtrKpJ14SmV92hZ0CijI5HFSYhC/PUpAtfH6R9BrDwNkQ+NMpTPQdCBwh5or0B9UWmlfXtVBZ50/+t6PWJuHK6JkJRSflkIMblt+MPAu3p//0/gS8RC8qbDNE0OHjxIoVDY1BSfvjRN13bIBT56u00CeH7mEpFpsyuZwO91+gDAAi/y0EN9M6cSlDDUNG3Tf6nRQiNBNptl//79nDlzRr0mhCp1hupSsRE1C3D+/Hlc10XXdYIgIJPJ0Gq1Ns2te/fu3SycPj8/T6vVwrIsVlZWuOWWW+Kox2vASqPLat3lyGjuinMajVNks0eBXmPt9QsgDFg+qYTlwEHaF34fqzCO+eRvK4G2fhHaVUR+FG1wP1GYgKUnELlxIgxE+YxqwCzXYearqui52wYnD0YC1p5UJerOPQhGMhaSNzHXM3BnUEq5CCClXBRCxJm5Nxmrq6uk0+nNvMONqjqFQo6VxUUyuRzNdJpuq41jQMsPmapUlE+yF7CD1waSRCLCNE08z0PTNKrV6ovMrwEOoFEulzlx4sRmMQJPCqwtJjMhxGbDZtd1N6v7WJZFraa61zuOw8LCApcuXWJgYICRkRE0TWNtbY3JyUny+XwsIK8RmhDo2tWv5fDwh9H1Fwrhk+pXPsm107D0LLRXyYV5RMeH8Xvh1r8Mj/8GPP1xqC3gdQLMzjqkExjCx4i6qj2W2wR0SA+C11IF1huzkCwqX2Z5GlZPw8EPwfxTMHI87hByE7LjgTtCiI8IIZ4QQjyxurq608uJuYZ0u12CIODTl2b582dPkUgkaLfbDCYS7BsexnVdTMvGFYK+dI5UqKJSNyJaHdsGkqApzXFDa9z+rISlvnncrW24LF7wU4Iy/2qattn0ecNsutVnqes6/f39GIZBs9mk2WySSqUoFAqcOXNmc30x3zx9aZtDw9mrzjEM1QrN92vUKt9QzZRXz0G7DPveDee/gDj9GfBdmHwr1OagtQKJAUgWyWezJFM2ZMdh8u1gppDJfprD7wXhAEJV5fHakOyH3Ch827+D9ipUpuDE76hI2asFFcW8abmemuSyEGK4p0UOAyuXmySl/CjwUYC77ror/hS+wZG+z+wXvkDyyBFM00QIwX7bpFJ1GRoaor+/n/Eo4vGTJ1kJAtxV9bG4ULmAk3LYnVOBPgCWbdP1XIjAj3z1I7XtTn7DHLpVyGWzWTRNY2VlZbOs3YbQDMNw0ycZhuGmdiul3CxU4Pv+Zr3XfD7P+vo6i4uLjI6OEgQB/f391Go1MpnMZnWhqwUVxVwrBBEhHPo26NZg9zvBycLh7wQrA04S5h6HpedVnVfdUDmSmobY/wHVWeTRj0JtjsBIg79MFJTR1lZB6KpgwYWHwBDQWIWgDZPvgNYy1BdULmbMTcf1FJKfBH4E+NXe8yeu47FiriMbnTJePBYy++wzDOzZRyKdeeEFw8Dq60O3bfwgQErJwdFhGB0GlNaXHRvDabWRXRdcFwfoegJDN6hWq/T19dFut+l2u+RzeUCVmQt9H1PXiYTYLE+naRpSSjRNwzRNRkZGmJmZ2Xx9Q3hudA/RelV5UqkUvu+/KPjnhSbQgtAVBFqI53mbfS0vXLiwGUS0tLTEfffdx+zsLKVSib6+OJfuehMENXy/qv5xcjCUg2d+HykMZG0aDQHlKdAE7LpfVeNZPYXbXKP77GfJap9CdGqg6ZgD+zEaSwi3T2mQ7/oFeOZ3obYIqUFkfQG/uoxZGkPsfRe013bwzGN2kmsiJIUQH0cF6fQJIeaAX0QJx98XQvwNYAb4y9fiWDGvLxvVaA4ePPii8W7XJZkvYNrOi8aFEAzdeedl9xUGEeX1Mo898wzu2ATJkTp6p42haeRakM6U6Loua5UKbEn893yPjtUhESXwowhhCCIrwopU7qOUksG9g5y/dB73krtZmm5rzt1GpZxWq4WU8kVVfUCZWFesBLluCz0MSRgJwsCl0WiQTqcxTZN6vU4mk+Guu+4C1M3Dnj17Nv2fMdcXxxnDsrbdjJQOcKl+kU53nSORplpeZYbhmd+nOX+KdjeDbS4SZApUDZ9Co8t63x5atQvsGr0HVs6BOwXP/r7yUQ4ehoFDhM/+KQF5dCuDXpgAtw5RFGuTNyHXKrr1B67w0nuvxf5jdo5sNnvZJP7Z2Vn6+vowrpDgDxB1u6BpaL2gmMpCm8p6nSNHjjA/P082n+G5Xlk4AHdbDmIYhkoASUgECSzT2iw80A26GJr6+EZRxNL6Er7wSTomYbeBnR2g2+1uapJG7xH2UkAiGW0G8UhNo+16DFgGfkcSRSFNt6oWIW0a9QairfyQQRBw6dIlMpkM2WyWdDr9zV3gmFeE79cwjCy6nnjxC6PHGdcEnfVpSGRVzdWR49B/GH19DmOtTWPQpqRrhL6GTBYQ9TksKVWwTtCB3AisnFJ/1xdg7SyG18JIJyE3DOtnoe8IPPN7sP/9Ko8y5qYhvi2KuSq6rl9WEOzbt49isXjVbbvPPUf3+VMAdDodkiWdVL8STAcOHOD+++/nrrvuIpfLEegBaLwkatSwDQzDIJfOkUwmMVMm6FC0i2TTWfL5PIZhUBRFimERp1tm0GhuCkiJVI2gbYM6HXzfx7ZtOkkdM2dRKBTwDYtGvgTNBlrvnHM5lZKghSF0O5taqeM4LC8vb/pbY64/UkrKla/juosATE9Ps7LSC3FolzGdPNlbPgy77lX1Xc89CFaKRN9uivk2Q3IUJ7ObtG/gprOIoVEGzYSKjG2sQOCDFICuol5TA0rQhj6c/jTMnlC5k/2H1OsxNxWxkIx5Tei6iiZ9wY/3UhK33Ubi6BEAhoaGGBgYoNRXwrIs+vv7aTQaDAwM8I7v+E7knv2M7BrdLCUHgICup1pp3X///WStCKtZgQAEyk+Yy+Xo7+9nYGAAx3GoaTmiwWPYtt3bhcD3fapRQMdWQtN1XTpGlpAk5XIZvdNi1G2RyWQYHR1lbGxs08+pC0HCeqF1VKPRoFwuk0wmSSaTnDlz5qrXIOabRwhBf997cZwRAEql0uZNDJ0KtNaguEcVQf/gr0Iijzv9ON76DFJPYTglhNeA1hp2u00msRux+x2qFVa6T0XJSg9KkypYZ/U0IEDTwesoU+ulrwIgzcTlFxnzpiUWkjGvmfX1dS5cuHDF14VpIrb464K1NdKNxmaQS7FYZGxsjKFCkVK6j0wqz913300ul1Nl6CSE3ZBwbY3Hn30OnCyFgQLppIomTSQSVHq9JH3fV/VdLYtWu02z2UQIQTqdJgxD+vP9lMISAlXirlirIOu1zdSSdqtFtVqlXC4jeoFBURTh+/6LChAEQUC73WZpaUmVz+vr27xhiLl+aNoLNyrpdHrzJojSXhjb4gN/7k9AmFSiFLPLGnPNMfy1KWbXXbp+hNB0/MF9tJoXIOrd3NgpMFKQ3w2Go9JAGgvQqSlTbGYIqjOEU49x/skV3LZPzM1DLCRjrorneZw/f/5FnTU2KBaLTExMvOw+ojBi8UIVv9Ul2lJP1TRNEokEVhRwT3+BoQMHKBQK7Dm4BztvYyVM0joMeB3cWg3XC1h0Q6KcsRn9CmDqOnOnT6JZGulUCiGl8jX2tMFUKrWZswnKh5lIJDaFYD6fZ9euXZimiZSSS5cuvSioZzuO43DhwgUeeughdF2nWq2+yqsa80qRMnz5SaEP5z4P01+HU38OC98gHawyYs+RjWaoR0PofgONALIjmMlR9OwEtKugJ2j1HcT32zD/JGiWqr6TyKriAq11mHkUFk+in/sMw3vyWIk4UOtmIhaSMVdlowD45bQlTdNwHOcyW21DCIQAc2SYxC23bA57nke9XqdWqzE0MUk4upvSwABHjhxhbNcYXXxy+4dZOlCkUMgxOjJCIV3Ea/qbqR+dToes45DUDMZHRuk0Gri9tA4hBM1mk3w+/2IzLmxqh77v0263cV0Xx3E2Be/WvpHb018GBwdJJBKsr69z4sQJlpaWXtnFjHlVBEGT5ZXPEIbtl7zmeWusr39V+Yo1A/LjrDW6eO/8B/D+XyJsrmPWzpPLhBRHcoxEK1jJDIQexpO/jbM2r4qYlybxhm+lkxsCKfGERa3ZQrpdGL5LFRbQdejbB4O3ko7mYl/0TUYsJGM40+xQ9ZWW9Xi1yar3gtaoaRqDg4PfVLK8pgmG9uQxTH0zN9HzPKrVKuvr60xOTrJneIj7EjrtRoPIjRgvjoOEUrafpuhyaeESZy6doV1tY/kWmqYRhiFCCNpRhJvJszC/RKhp2IUirtCwczl0XadcrWIZOlrkk0wmN9t0Ab1KLqp4QKPR2DznrZrk9lSRCxcubDZozuVyjIyMvOZrE3NldD1FoXAfmvZSP6BhZHCcESWwhID+gzTTe/DTY7Dn3eQa5zHsNAwdQ9QXVKm50IdOlW53hU7rEhT3wvoFCqtnyaZHQEjCdk3F8LRWYc99cO9HIJFTgvjk76vo2ZibithucBOz6vnkDJ1WGOH3ojczho5zHXPBarXaZo5iJpNh9+7dm6/puk4qlWJwcJAgCNh3+z6G+4dpnZ/jUljGbbmkk2mSySStVot0Ok2tVsNxHLLZLJcuXUJKiSU0gsCn2/BVF5IIFrsB+UQaKSWpVEoVJ+jVbB0bG6NcLhNFEc1m8yVCcisbvsqN4J18Pv9CEEnMNUUIgb09L7KHptmkUnteNLbZDPvkH4FmQ8KBleeguQ6lPWA50K1j1MsEmT5oLIFbI4gswqH3YFcukJDrJIQF+XFVjs5rQxhA6EJhr0obOfmHcOv3Xuezj7lRiDXJmwApJaGURFLyZK3Fn69UqPkBD67VON/uMpm06TMNpJQcSifIGMq02u12OXv2LEEQsND1eL75YrPXmWaHZxsvNYVtpbbaZu7MCy2r+vr62LNnDxMTE/T3q84K1WqV5eVlHMchn88zc24ZvZPljl13EuLwbX/5L/O+d7+X8dHxzeLkAwMDtBoNgiAgnU6TSqU4cOAAkRFxoX1S1WwNQxYNgReFuKZNmEqzf/9+PM8jnU7Tn0ox6Tisr68TRRGe520KwY30lo0AEQ8PLa1hFIvkhkc2K+9sbccVc4NQ3Kf6Sho2YIGQSiCWp6A6hRGFOJ02DN8GTha9u4p+7vehVQFs8JuQLKiOIEIHK6tK2glg4RlIxK1xbyZiTfIm4BPLFc62XX5srI+n6m2CSPJwdZG6HzDomPzGzAq7EjZ35dMMmQarQcjehM2KG5LOKpOlHkqMbfdURcsgfJlqu6mcjaa/9F5sa4ECTdNA0zjT6mI36zztN3j/gQlmZZ5qo01xeID7h4dxUinq9TrtdpvF2VnE+joilaJcLtPtdpXQNUGXOoEWoGVsspaBX2uQnp8ik82ytrZGs9mk0+lgEtHVPRrSwbGcTT9kKpXarMvaarUQQlBKl0gmkzTbbWQYMjY5uVmMIObGoFarocmAzNlPg1cDOw2N8yr5P9GnTKjdGhT2EaULBI0LWLldiNwoht+CsgntdaVFdmuQHVLBPa0VyA6CmVJ+zLlvwMBhyMZm9m8Gz3O5NHVpp5fxssRC8k1MMwjwJaR0QUqT/ObcGkJK3pJP8efrFQ4lHB5cq5PSNLpBhCEED6zX+HK5yZFMgkMph7FEkqFIIqXkZKPNnqSN73apVqvYff1ktghAKSWNMCJrvBDkY1g6maKufnSszGXLetnpNGcijXrHpb/ZoJSySaRNDmAykVLJ25GUJA8e5ljSYWlhgfL6Oon9+2l6HrmBAdoRpHXB8f3HOXHiBAAToyNUmiu09YAwFPT39+N5Hp1kGi+SFMtlWoMZSnZIo9FGSg1d1+nr66Ner2+mkdi2jRCCSqVCEATkEwMc3nsrcytTsZC8geh0OtjnPw3Lp2DsbjCzEHZBd1R/SdNSbbbaa4S5Eh3hI9bPQNjGPf4R0vP/N6QHoLEM3TJ094IErJRKC5l7XAlfKwV3/shOn+6bgDya+PB12O9/vKZ7i4Xkm4B1LyBtKOHztUqTu7JJUobO/5xfQ0RQi0IMCV+t1inqOk/UGjTdkDuGUux2TH7lwjyR1PhqpUHSEOxxbJ6tNRm0DFrtDtHsNIMTu1nxfKa6LtOrC1xYXSH0BKOOxbcPFGiHEU/X2yy4Hh8eVOaoRhBRsnofsemHobRPRQluw4skbiR5ZzHLWtDBqdfpRJK5rsuSG3BrJkFC01js+ggJzwcCLwd6Q2BKk06rRdcPMAf68TodLEBPJDiw7wDPPHKR0A8xcwPUajXls9R0zHwKGTTRQ4vAChk+MEh9vkmgwan5ORxPlb+TUtLtdjFNsCwV6Zs00pw5exYzqaq/7N27N86VvAEYGhqCziFI2jD+Fnj696G1jkSwqh0h4y+S2P92mP4qZuCTm/gQQfQQ3cjk0hMPcsj3Md0mdKsqX1Lo4LcgNw7diuoSUtgDe98OmcGdPt2Y14lYSL4JeLbZYdg2aQcBp5ttvl5u0PF9JpMO57tdElLwaKvDOwoZyr7HnyzVmEiZ3JZJMd3ucLbpkWo3EMkM0tQoeyHrns+l9jIJQxB2Axrlc9yVT9NvaPynuQYJYfKhKGKh6/HAWg0kNMKQt+ZSLHR9akFIJQh5V7GXerH33aC/VOuKooiMobMv5dAMQ4rFIrquU/cDHlqvcyyTpB6E5B2dd5eyBJGkHmZZ2D/GO5J9eFWJlBFnn3+edruN4zjcdttt2JkM5XKZTpSlFTXAsjFCieO2ydg21UqVsL9IMrBY66yR9zTS6TSeLvFclz4nQdJxWG62wXcpFhN0OgGeF2IX4Oyl5xgZGeH222+/rIB0XZcgCFQD6ZjXj8n71WP5ObjweQgDhNcgWTyA5evQmFPFAaQPXhPDzpCuzXGkmEcTI9BcBgKQNoQ+bWFi1Few8CE/AcVdkB7e6bOMeR2JheQbFLftYyeVX+/thTTNMOLr7S4f7Mvx9XKD3zo/Tc0SyMFBhpY8psIObymksTSdgg5Wucx/u2DhaYIQKBs2NhD6EQ3fwxbQkZJGAG0EegSnmx0utbukNIPb8wU6keQr6zWGE11+Ye8I/3FqiTXXpyUlby2kSQiBH0laYcijtS7vLposdD36TYOUoSOl5LlTp5jLFkmnUgzbFvtSDtlSieWux935NOOOxdeqTYqmQcbQMTTBXdkUxzLvpFmt8nhnnaVwgfXJJUbnxzH7hzg+Oc6DDz5Ip9PBSaVouy5Bs4mdTGGVSiSiiEqlgumbOAmHOwfvZHZ2FiEEmUyGCcth//79XLp0iWImRTo9yPzUFAMDA2haRDqdplgsIoSgXq9f9v2pVCq4rhsLydebS19RfUdPfRqyw4AGrVXS838OZhrEHghcIIT3/wpUZ2HxBJrXRNYyhJUpdCxEGEB1CvL7UBE7AmQAlRlYfh6OfteOnmbM60csJN+A+G7I1LPr7L6tD8sx0ITAFIIxx2IyYTMbrHDnUIn1KGSu7XJkIsuequol+4W1OlkNViNB5HrMuyEmoJsWA0DXFPQZJo0wZNYLsYGcDrqAwymHz1Va7DIE59ouH0hYGBqsd13+YHGNpK7xjXqLIymH45kkT9U7fLlcZ73jEuk6vzG7gh9FvKuU47ZMEtd18V0Xo93i3tFBrJ6/csn1+Vq1xYhtcjxr8h39+RclcAshsHq+wtsKOUqLdfTJd5O7ZR+fuzjNyMoKzWaTkZERCoUCy8vLTC1PETRqROO7oFZBT2dxg4CBTIaZmRmcTJZ1TScjJL7vMzs7Sy6X49x6lbIbkEkkEKagVW3h+z5jY2McPHjwiukfQ0NDL2rVFfM6kRmEB34Z3Ibq7GGnITcGrTIc+hCYNpT2q+o8T/5vVZf1wAdARkRTv0ZIAHZBdZjp1LDMhMqxdFIwehec+pTaNm6bddMQC8k3CJGUrHoBg7bJQhjwyULIzxqC6XaXFS+gGgTIKOLjc8s8MzNHNZHh20f6ybgen14ro4UhgiwhkLAd2jkdHeizDVZdDzeEBcAJJQu+h9DhjpTFIy0PLYSSpfNsvUUGaHUkS7rHg5UmAYIL7Q7Pt7r8wHAJTUqearT5HzNr2JUVTrqCzLLkrxy3+cbCGc6WjpE3dFqtFqcuXGCl3mK3k8DqVdDxoojTrS735VKUewUOrlThJJVKqbzK/j40TaPieuzvL1Eg4O6772Z1dZVut8vU2bNEmku/ZmPUK4RRiLBsiAJ83yeXzVIY6mPq0gz1KGLXrl2AqsYzkk3R0k0iYH5tHjqqUlCtVuOLX/wi3/7t3063271s5aG4MssOYCZh33tg5C74/D9XfsVjPwC1OTAMmHkEyhchOQB+G1bPwMppuO0H0MMuen6vKkdXngJCwnYDX6RIDx+FoVvgwgNw399SwjWR3+GTjXk9iIXkG4Cvlut8ZqUKAg5bJmtSshwGPFxt8lStyZBj8Ui1ySdXalhAysnQCOEPlsq83dS4s+GSL9n8ycIqjqGx7Af0GTrrXkDBMgkicDSBRLIWQQgQQrflkQZKlqDih4QS0gIsE3YnTFY8X40Hkhbw5UoDU9PwQskDK2UOlFfot+osFSd4oBZRTPXxXYMlxhM2zcCgOjhGu7mKI1QrrrW1NS6urtM3Ok5C13A9yXTHZSJhIyMJ4vKCp+y6XKiVmVkoc79j4J94ik6vFuvAwABLxSJp26Z//36ELvjKE18hGVlM7ppE13UirwPzpygEko4P8/Pz5Pvy5LI5OuUOdCtYlkWinWB83zhBEGDbNuPj45sRsK+oPF/M9Sc/DmP3qFzHXfcp3+TiCRWVqieVhokGB96narXW5mHhKTjxv1VB8779UJuFyAcjiaUHmPXTcHYdpr6i/JmdOnzxX8F9fxMKkzt8wjGvBiHEQeD3tgztAf65lPI/XGmbWEjewHTCCFMIBJJOFDHd7vLZRoMQ6E+mIJKcbLXphpIh00IDLMCLICegE4R8stHGdkP2aFBcmqM1MIieSJJwW6xhsxa4mAL2JW1mml0GgGXUb0TdhJIGSd1AF5I9CZOTzQ6+0DjX9nCDkFoEu+Zd+kJo7tHpiIjD6SS7bJMH2jkGWlXWml3GRBpr9z4+u1pl0XU53eywL5mgO17kvGOxBzDTJoQFsobOkGMRABfbSkjOn6uQSJmUgpP4Wj/6wDhaTzAF6+fJrc9y1563MZBKcLHTJm2aFEyTXC7HO771W2m327TbbdbDdYy0wb6+fZiGSbvdxnJSlNv9pPQ2pmPiOA5nK2dJ19MMaoK+VI7h3ZNcuHCBo0ePMjU1RblcptVqsWfPns2uJjE3CF4dlk7B6nmV1+i1YeROJQzNFNzyHXDyD1TfyNt/QAXrDB2DtTOqdJ2nGmwzdjeiNoMIPFWWrltXvsiDH6DeMbHIE98avbGQUp4BjgMIIXRgHviTq20TC8kbmCdqLfKGzhfWGzxVb5HXNcYdh0UvxI9CvrBWw5YSQzQJ9D4OJE2mOj4NCXkJPqCHXTq2yfOaYDKZImtanHN96tUa7XwBX4ecNLnU7FKRqnuQNCFjQgtoRiCFoBn6XFxuk7dNlokIBNiaQEPSLBh8MJ3kDzptim3JM7JFPUywK52hZeylWfU4XQ04e+YJFlJjHE0Nk9MNhIC6DDECn0hKHls5yQm3jzsNG10I9iRtxhwVEVscTWNZGqyl8C7MY4QGdq+k3dDoUYaGD4NuEAQBei7HgbExHMeh0+kQRdFm7dmnn3qaglFgaHiIh2cfZiI9wfFbjlMsFnn00UdZWlrCsixGrBHqrSVmtTlG7ON4nkd/fz+rq6scO3aM8+fPs7q6Gtdtvc7Mz89v9h99xQwcYf4bD5BbmyadK0KqqErLlfaBpkrTUZ6G2ceV0LznIzD9NajNQASM3gFWEmVOaaq4ncHD4HcgOwpLz9AZfDf6ZWrKxryheC9wQUo5fbVJsZC8gbk7l8LUBLOdFI/VmhQbHk8R0QZGNJ2ZMMQDHASR7yMjiSshAGqAGQbsjZY5ae8iJXRyoyM81faROqwV+4l6pssAqALtUIIp0IGDCZOLXZ/jSRtP15lpe4QtgfAiWhmdQEIWSdrRWRfwec0jXQ05PO2xPJhjoevSDCK+Z7CElWhztlZlpLZIqdvg426FRSPPfVrE0YEi85Hk16aXkdFuTrQ6aHoLTWjsTlgIIVjoejzZbvNtqRyMHCM1ovyF58+fZ9euXSqhX1cfZcMw2LfvhVzMjZZYjuOg67oqZ9dqYZomy8tl9g7tZWhoiGazydzcHKleBZ9mo8nQwDChZXBo8k5GhkdYXV3FMAwmJiZIJpOsrKxQLpdjQXkduVIHmqvhlVv4C3WMqAX5O1Xt1uc/pfIcW2swdBsUJpRfcf5J9RCoNlm2DekSNFaUH7N/PwwdAd2Gwi6V7zt+F4PH3qEKq8e8kfl+4OMvNykWkjcwjq7xjWqTJdfDQPBlIppAGphzPSwBkYSAFC03JIkyt3ZRWmTJ06mlDwDQBmbbPl0gC9Q3vuBS0iIi2YnIdiLaJZsAWOh1AlkKQmqujy2gkjPI64J+HWohhGFE5Pt0NRMhYLjfYKUbMdcNCYBh4FSzzeG0w9kVkznnGEOsMhhJVv2IE27An3tlspbBsGmSNAyEjEisnubWvmP8xVqd+/MphmyTe/Mp2lHEXMdlj22i6zqZTAaj19R5bm6ORCJBqVSiUnmcVGoPllUCYHl5mW63y+7duykUChQKBaSUmJHSZqsL55ELn2fP7iyGWaHdFhhGiYGBYTRtN4EfMDc3x/DwMIODKol8ZmaGer1Ot9tlcHAwLiZwnchms696G9NsM7ori1kfhvJZWHwG8rtoHfgujPlHsIdvUZrj0b+Eu/gExtIZ9IEjsPvtKpJ14SkQmqr5Wp2CTlk1d951Lxz9bmVuiQXkjUyfEOKJLf9/VEr50a0ThBAW8J3AP365ncVC8gbDjyQRksWuz+8trpHWNX5rdpVaEOFtzEHSCAUSJRAzwJCusxSG1FEWIzzVCGEmCjF1SQaDud72toBiO6RjaaT1Go6so7eGqCR0di0vsppKs5DO0AfsdyzOuD62oZOUPh6SFoIUEJYb9JsRUa6ArQv6/WW+ND5MAmWqzS36zLYCzmU6hFGEE0imc0NEAoq6hm8ZdCOI3ACkxHddxh2L3+mU+MLZFf7JgV0EUrLo+vRZBjU/5MLqOsLvcODAgU2BJaXEMAyWlpbI5XIYZhZNU96idhCR6+ujVrlA02uStlSQkBCC93/o3QghePqpb5DRJzh+6510umVSKcm5c+exbZt77rmH1dVVbDsknVGaKcDRo0dpt9uYphkLyC14nTaaYWJsqc37eiOmv4wZrUDpAMw9Bn0H4eAHaJ/6Go5tYC89B7ld0H8If/FriNJudK8FmX6Y/jpB/xHckbtJPfqflTAcOAIDB1VpxXYF+vbu2LnFvCLWpJR3vcycbwWelFIuv9zOYiF5g/FMo00gJcuux/PNDnttk3oQ0dgypx+BqYEvNGphxF7HxDJ0Ks2QCGU5kvgMLrdp5RI0kzpdlAbqAk0Jt0idtGkgk30stG1kv4UnJdI1SFkGDSDwOpi1KnWjgBdI8gJagYdwA5p2Ci+fJaELpbnW26wFGaKkpIYgABaNiEgzqbsRYw1JkBbYAgJdEAlBR4ekBEPCohuS0qEaRISGRjOSeJGk5oc832wyvfoY37Pnfj44MYrv+y+6Zmtra1SrVfr6VCpIJn0QUK3AfmdhnbtzKZKyQzfskia9ud1GpOzuvfuB/SSTWZLJYbxwjcFMgb2OSa1Wo1qtsmtXliBo0Gq1aLVaOI7D/Pw8R44cuV4fhTckSxfOYafSDO7eOUFSSwlsx8LJTxIkMuhBgIgi+lceVd08ipPKbJooks7dQrBymqpvkfO6iOYKbmII//k/U+XoCpNgOr3cyADO/AX85f+xad6PecPyA7wCUyvEQvKG47ZMklBGXNQ1DqQcvrTeeEk/syXgNtui6wUUupJ5fFr4bKSu5wEbk5aexDVgt3eBqJGgnR5C2Aa4HS4mkyRFiNmVzEcJkoAvBJVSP46ukQsj8pbDLAGLvo+MDHwdkoaNq9sYAhKmoCXBATzLoWZFhAhMYK8lmOu38YEkksx4gif9gCyQDCRLhIyago4vN28AJiyTfseiaegULZNb0klMTfBUXbAnUyRtKlPwOS/kFkui9YRcqVQim81utrXaoM80+MHhEjlTR+M4X600uMMIyJkv/thvN+kl8nlcvUMxnyb0PTKZzGblnHq9ju/79Pf3s3///jgXchtjh4/u+DUxJt6NXjpOdeYLROuPYZ0/RZDoI59Ig1uFsTth9mFoLIBuExoFwqVnQa5D4JFaex6crGq5ZZow/5Qyw6LD7T8UC8g3OEKIJPB+4Cdfyfz43b7BMDUBoWDFC/jpXYN8SyHNv3v+El8JVPk4UIE2pzseHlDQBEKDdgRFoN+ELoJ7UzZ/LiIso0EyqlFLDdDRlM9SmhY5DYqOBUimAo8aanvH0MjoGjld4Oga7SBP0g9xdUhpMJ6wMDWNVhhyru3TRO0zAGx8dCIkCQxXMpk0Wev4lBE87wckgBFLZ9ENCSNJcsknNeiQtAzOtV1Odnz2Co29ls5c2+U/n59hZOYStx+5hVvG78HSNJ6vt3mq0eJgKoHW+y3WNG1TQPqR5GuVBnfkUrhRhKEJ7F6hghHHIqWhSpHlx6/4HuRNY7PmrGHbLxK+2Wx2U6huF8oxoN0ApudUeg/IJRLZfcj1T9LpCmx/HqIu9Bfgtu+FledVdxBdYAQdcqKM6IaqvrAMVHusyCOS+ylHLqXsKKJvL/Qf2OnTi/kmkVK2gdIrnR8LyRuQi13lfbS7bYwnvsquVsih4b1U/JDlUBKhAnFsoG5BSUAO1UE7YZiI5SUWfZ2cnqKRzHGOu3AcgQD6NEGrEdI2IxAuXSE4outc8ELaOnSDiBHdwNF1BjoRsysd9AGDfh0G0ai2PEZzDucaPsIHTOgXsCYDJDYWIV4ksdYjbtuf5jEE3Y6HD/RpMOeGap1AzQA9DJlthxQ0sHWNcdvk0soy2UyGL9cj6iQQl5Z5R8PleC5JzjCp+wGrns+IY9EOIywhMHoS0xAwaJskNI2L7S62prHmBbhRxK2ZpGqDtPi0CuXfVlYski9opzFvUKRUVXQMC7OyzFpGUKh4mJFU1XeaK/DFf6NqsCbzkB4gqi8ghanyJoWm8ia761TsNPVMP/OG5K7RY1h+S+27OLnTZxnzOhILyRuQPQmbIcvA0QXywFG+JZnmjhB2ORa/MbPM880OliaouCpQp2QaTIqAlCHA8BFFm2+4Dk0kx3RINARLFoyiIbswTsBznRaTo8MUnAyT7YjfXa9wAUhq0D/VwsrajAymmG53GTQEk8vzPJnIkzOTrLohbaBXX5100yOIAmTGoGBarPgh1SGdzzZaDFgaTqvOHbLMQ+lxInQKEUShYDlnMtiuYxsOi6ZFIorwmy1yqTTfPTbIb8yu0rUSjFkGaUNntu2xv8/h4UrAf59Z5odH+5h3A9phyN25NO0gpBmF3JJWPSiPZ5WJdNXzCWVPw8kMUtn3QYIgpN96QUhW/ICvVBp8sC+3WUM25g1IFEBliqjbRDv/WYoj78eoPgBBFwaPEK2dJVg7hSUl4cIF/KSF01pRN0wtZW5FEyBsPLeKNf017keH1DPK1DpweKfPMOZ1Jv41uAExNUHONPARnDBSTHcDyl7A47Umx3Mpfmb3ED+7e5i3FjPoQDeSFDJpBrI5bBkQJXRyCYOcLqiGXTA1SvWIdU0y64U8JWEwl+Uf7t3NWMIm5wkOaBb3aiZvtxwawwnO5wTr800GugI9EjhmjrSW4A7HphWE+EAHVMRtysIzHQSwXvfJzndZa/gEUtIMJIlGk1WZRaLjAE0NAg0KAhKdNolODYm6Y1v1JQ00fmN2jQPpBERwse2z5PrkLINPrdZIaYJuEPDvLi7yuZUKi90uj1UbWLpGUtNw3VWCoLV5Pfstk0HLoNqrBbvo+sz1tPUnqk2eb7TJGzr35tKxgNwJzn8B6gsvO63dvkS5/PDVJ+km9cQYDzz1DJW978DQbZAhDN8KzSXC3CBeyoHQQ9MDTKMF428DOwvtZTqeoK0Nwf4PMDh0N8NGhrZM0sreBuP3KF9lzE1FrEnewNiaxncPFfjMapUvrlTZn7Q4kk6RtQz+4swK1lqHI8MWKdNgwQu4J5vksZUUVdHgvkIERh8PrFVxUjp3zUZcCnTmMhLZdjinwb++tEjHi2i02xTzDsd9AzHbppPw8foTnEl1mWx22WO2MQyHQA84b0WIWRetZGIHkHUl5YzAdTQcHzoaHGxGuLbGahJaUURn6IVke4G6Mwt1qEtoFocwUTmeNcDAw/M6rJCjFUXYJmQ0jccqDU7UW4xZJkIXZDSNlSDEDSN+dnKQnGni6BrzXclS/RJ9ySK6vpcz7S6Tjs2C6/FQucEPj/RxS/qFSimTSQdLEwghGLR3Lm3hpqY4CcmXdxHZ9jC6nnzZeZlckTsHBVZuEDl/HlHcozqC6BamncNcuABOFkGInstA5ZISpEjafpaoEZBsrakcSbeBMXAbVJ5VptaBQ9/06ca8sYiF5A1O3jT4geES/R48O1OlMmnz9mKG9bEcX9QkuojY41isaiFnl1u8f7RAkjyPrNT4nGyQ0gX7NZMfuWOYTzXrDJ8qE4ymmEpEDEnBuZrLmtthSWvi5waYKJnIRki36dMxwOq3uUPXOFdbYMhJUU8lKJqguS1C02Q+YRFK5R8VFpSaEpkxKPepWrI2SuMENmvLNnrjJirPM0Dn7WmHrza76LJNXnNpyhwzfogOJMJI5X4GKt1l3g0wExbHTJuBlM1D63Vuz2doBR6uX2MgdYxU0iaqTLO6vMzA3jsIpeRwytn0XQK0ai5OBOlCHICzoxT3vKJpuu6g6y9fLVW4dfpMjShIsnr2HCuJPEfG70ZMPQxWApKq1m79zu9Ge/i/kRYaCJ3AmqSQT6BpEdSmVdstTWBZNjgOpOIavTcjsZB8A1BZapOr+Nw7mEVkEnx6rcZ3Z7N4F+c4XV7jrvvvImvqtJfbHLR1Hr50jotmhkBK/vnIMM65JqdW10iNOaSLDl/xOtzd1LlQXiPKGRxOpBFZgWkY1AZMMimNkWZIox4RaYKFwRJP7E1RNEyGWm2snM8KNq1Ip6/mk++3KToWX2l2ydgadkp9sBxU1OsGESE1lG9QQ+VsRiiT7bOtLjZQFXnmpBKm+y2dFS+ki+pMkgGea3VxpaTh+5i+zslWl8jSSBo6B4xVxligLznOsuvTlQnePtAPpkHRNNi/rf+x2/KJIvkSIemHPg2/QdEpvux7U+6WWW4tc7gU+6puGPK7YPRuRNAl6XTpW/oyovgOGDxCzR+gvNwhMwjW2nm83LAqENBcJgxGwADNiVQUa3pQRbm2VmHgO8DO7PSZxewAsQPmBqfiB8zZEZmxDHeM5ZkwTQZ1nQcemWX1omRgeJz3F7O06i73TxYZyllkQ4/3tH3+cP8YB1dDTp9dJx3CW5oag7WIZEPybt/mWws5DpkW+VWPW1I5Fl2PRLnL92Vz9E1kuVUYdBMaA7bFvZHJ/pTNquMwlciCadHnGOQLJotByMxCC3pFD+ZzOhqSau8cbjEC3pnS0BBsiM0WIQI2S+l5EnajcjxrwCpgIem3dCRKQLrA/YU0aSGoBJLPi4BT3S5rrssfLK7zf9ZTPBLexqrrM9Xu8HRgEvZaGT1Zb/F8c0OnVRRH0vSNvfSHb7Y5y6n1U9f2jYx5XQiCgECzYPxuWL+Am72DvvEjMHwMvDbpxT8nkw3x02NkF56h2H8UhAlhhK0tYLCm2meV51RNV68NoQueC0ZscbgZiTXJG5DluQbVrs/BfUW6bsDihRpe3qJzukI+bXPE1MjeN8LMSYfmQptnV6ewwpBHy4ssOZKBMEFfy2N6dYFd+/sYOlrCTFk8EwUM5xx+vCaYXqnTH2n0GRJvzMFBcHTRJ/uNKtXdAcIOqZUcjkym+ZZchv/yaIUn221k0uSd+QyLrs+yHxCaGom2jysjLF/gGWCFBrlAcNGGouuyho5lSAw0IjQ0wAl8unpES5jYwDqqyPqADiJUmuNBx+LpehOJQROldS50fXKWSTnwMIA+S6dkGiQ1wdlWl4udLgldRcPmDIEfSXRdsMuxmW67TLddJpJX/7Hbk9vDZHbyFb1XRaf4ijTOmNeHxcVFoihiYmICb/QoqUf/HsJvgB6B9NGjDn0FDVYfUtGsiRykh5RPsrYIhGCY0FmFVD8c+pDqEpIf2+lTi9khYk3yBqPb9KmYcAKfFdfHn2nRV/G5PdRJmgb1SofQD6lNt7jw8BJhAF7Hx59vMX+pzhrQbdkI12DlYoMLFy8x0Y7o1Dwq56sYZ+ucm64Tnqvj1boU6gEThkm7E2BdaFLwIsoEPOBEDDkG+zWThypNwkCyqxYxbJnYGqSXu1iz6zzf6tKU0I/GxHpAHp27czZLPTk0pevUOz7nuyoi1kCVx7s94ZAVJimUbxKUYFwLVXF2CTxR73IpVLrnsCFICXiy0cWXEYcyCWwBXSlJGwarQQQy4mKzy7tLWe7Np7k7l8Lu+SD7LIOSpbO2vES9Xr/i9W82z1Cvn0QT8Vfjjcjw8DCjo6MAhPUZ5L63oJd2q/qtiT5IFmm0Wni+qz5kU19Xd2VWWnX/cPogDCEzDAc+ACPHYfR47I+8iYk1yRuMkxfK7BpMcXQww7LnUxhwcDsu6aJDtj/J/JkKtbUuRBIzqSN0yaWnV0nlHO542xiaCZeW10mXLCrlLu1KyFy3haj75OfbNBM6x/dnWagEGJZBq9bBfL7OwDNlVlbbrOZsUjWfvpJFQeqYK12O5mwK+wd4tNrkG2HAE7U2UVZjdyLNTChJ2DoraYkVaeyt+MyZAjP0SOoWnqYzFPhYaFzonaMDtHyfNCYNwNAFYSjpoASi7D18ININdMBGoEtJC1hxA8xIkgdypkHJNDjXahMIDTTBqhcwaJs8VK4zYpscSyegfIHJ0j5S6eRmb8nLYdsDRDK84usxNzYbXWGQkuTFR2H9EqxfIIg8woPfgrRNvEaA1V5S/SGlgNVz0K1AogSJAhz6ALTXVVGB+35qZ08oZseJheQNQKvm0m35lEbSNPpNGmmdW1IO5cUm33h6hfWWizbfoTCYZHB3junnVykvtTFMnblTFUJX0qp7nHlikcCNyBYTJNIWg+NpFlfaGKJF2AiQQhKFsHapjmnpREFIIFss+holxyF0ITQh0w449rRPNx1Q25Uis+ySbfn87HvG+K+Vdb5YbnA4mUTXdGS7Q9kNybUDTNtEOgJBRCnyWdItEn6L0NMpo8wWXZTP0RemytmOYDmUpAALn7CnVxYEdCUMUCeSbTrREEO24B6jyRk/i7++gpCCrizybNujrAuO5VL8cF+OR8oNFj2P060OGV3n8K48zannIEzRP3j13o+mWXjN7+PU1BSFQoFcLvea9xGzjcaSes4MvbrtpAR0cFuQKNEY3YNROYMeBpQWTqui5UTKzxh5YCRUIQJQvSb79qu+k1cpXxhzcxALyRuAynKbhbMVzj+5jNkJmO6E1AaTTD2zQqvhYdkGq1mb0lCK808sk8xZNNY6gGT8lhK11RYLZ6rY/Q5mSmdhZpWFszUMB3RHx8tZyG6AECAjDT2Q+H6Epgmyo0WeSZpEizUiPSRcd5mXcPRAiepSi76SQ7neYX2+iWVoHOk3oT/LWugzbWi8oy/L7FydZ20dhGQybXFrpHF0dJhfmV8mK9awU5JFxtEwcFAaYlvCASmp+l3WzASe7+NELTQ7jwvUJIxYGgkvIKF7tOUS+BZONE2feQ+rlk1gWjgamDroUuIAc17AgtthpuNya9pBaIKvtCQHJt6KXa0SOjX06yTEMpnMZiutmGtEu6yeX6mQlBKe/j+qN+Tbfhb+6MehvkZ+YQYxcABGj8GZL6smylYGUiUIfVWz1a1Baxme+1NlynAbcOhbr9eZxbxBiIXkDUAmb9Oqukw9u0ppPMX8mRqZvEUy79CueWhFSBWzNGsupx5e4OC9Q2T7k3QaXcoLDdbmGpiORrcdoOsaQmhITVXYkoQQuISeaszuuj5IiFx17E6jzVAErmhgaCbFhImdtQn9CM8NmX1ihUyfA3tShLagb7rNrWYaP9SpjzvcI22+vNbgfBGqSY2WkORElz9ZmsXAomENI2SIjoEFGARUAok04DwmmAkGBbR1DaSq2lMAEgZ0W00KnZDG4F5c3yfUNE7p/QRBRNVKohGxV4OJXIYHai3qoeRsq0Pa0Lk9m2K608GL4FgmzQXD4Z52G39l5boJyVLpFddMjnmlDN7yqqbLUBJ1ffTFp0EzVHSq6SDsLKxegNJh5V8Uek/bFPDun4f8BDz4y7D4LAxPQP8huOvHrs85xbyhiIXkDrM8VefE56cojabRdI3qUhcpoVHx8INAmUC7EY1ym/XZJum8xcCuDCe/MsfC+RqpnEUYRnRbYNkhdl+SkpVlbakNQNgFw4nYe1cfc2crYESEbdD6dIJKAKGqguNoNiQEtqYTll2M/hSdlo+MoFnuYgw6LFyoobuS248UuXimgqh7uIUE9TuL3FVrsyZCrFWfM7Zg2bG4LWFwshaybtlkgKzWYT3qkjAKmKgi7TqQ1QU2OmGkkwDQBc1AUtVtkikNXUpWOy4HbBsfg24UUrItDCQn3JDpapOj6RRTnS6eNJhrSQaSFv2mwbIXktYFw5ZB8tix1+19Det1Ok8/Teotb0HsYAPim41gvUNQ/HYSxrPwyP8LE/erouVDR2H+aXjsN6GzBnZK+SM1E579Q9j3Ptj7XjCSMHAL5EeguHunTyfmBiAWkjtMfb1Nq6J8kiDxXR+plD3a5QiAVjNAW2lTrwRoOjz/yCJzZ2sQQLftkcjrBMshqXwCy9JYOt984QAa2EmD5koX1w1fyO6XIfk+By8IIIpo+2CUfLJ2Ak0IyostDA3snEUqb2KVW1SLLvlb9/O5aov33DOI9egKInD5vn2DPDxbI+qHuYkslbUO6W5E2AzZ15BMDygT63xkEUhBFIb4ho5A5Uh2AtXZpG5AHQhDiQZEmk4ZnTu0ZRyjw2I0RtUL0AEnCKiigoDqgeRwymLFD+iGIZc6Po0o4scO7eLxqsqPHLItpJSvW69DLZnEHBkBI/6KvZ6YgymM/iQ096ncyCiA05+Gucdg8CgqxSMDUlOCsO+AmnP+QaVdJvtg9hEY+Yga1+MbnJud+Bu8w+y/c4jSSJoHfus5mus+AGZCBd5tEPhQX1XSLTDh3HQFKwAE+C1ot0LMIZPqcgcnpYSAmQS/DZoOoCkzaxespEBoAr8R0bE8fDdCMwDXQiR1zHxEc8EjP2RSGDBwO8rkm5vIktQkyUWXwmKLjrAoDKcpjqQQKQsn12E07fG29C4qXpNQwCerNaYTknsLKaZbLVa9kEhomGbEutTxCLHRcVEm1g6QlZIObYRIccAxGEom0dwyA2KeGVnAECkSQhUfMFHpJA3gE/NlcrjM6jZFUzDqGOQMnZSh8dX1OnnTwNI1JhMvzZF0owhTiNfUJst1l2m1L1EsvOVF48IwsPfufdX7i3ntNJtn0LQEyeQu1Q4t8mHpNL5TwixOEC2eIvJsjIStNMmh28CtqyCewjgMHFV/CwlHvmunTyfmBiEWkjtM4IWEQUgiY6JZyjKkbXtXIlScASFENniORi4vCTTwGxEhUPd9ShF06hIA2zHxXZ8ogkzJxGv3hKwncdI6bisiFBGGJZChhAg6FcmFcpOxAZtGpYVpunS7On43Yur5dZJZi6IP6VCyOl1n9619rEzVmRxKcCi/m8JIirRl4OQtTCH46amz/JeTNfZlUtTsUQpGwJJvoQmJ9CQRkgxwEVV5JwByRod7xBlW7XsZMn1SIuJLtSSpSoluX5J+A4IIWlJpp1XgcNJktu2TRKOga2RtizNtnwfX60RIDmYSjDsmo1coYP5wpcmgbXI4/eqDbgwjh2MPvurtYq49muag672boOY6zJ6gUznHo7jck8xit9aQzghEU6DlYPQ2NW/wMOx+hwriiYnZRiwkdxApJWceX2L5UpXZ56oAODkdy9IJfI/QBSQ4SeVbJFIBeFYrpOOjHHpSmRyTDSVMN2iW/c2/q4sdSuNJmHeJfAjDiGy/hdsOgRDN1tBzBl0P3A6MHRugMJTm+YcXqM/V0E0QAopDSeprXbxOQGE4yfRz02T7DWj2UQoFF89XWRkwKZqqhN25xB6S+TKLtsG9qSyPljXW2x0soOgYHO1afA1P+UR1MEO4GCYJxVGWWj5deYY6/WhGHrswTJ+lQxRha9COVKNpQxMcSCbQhYalJXh/X5Z3W3B2ZY1FQNM0jmVSnGu7jDg+u7dV22m3L3HICOlLvjatT9cdksnYd3UjkExObPkvAtMiEUnuaNdIlGcQ6Sx6Og+XmiAjmHoUxu6E6a+p/2/9np1aeswNTCwkdxAhBKP78tSWWxiO6gvruyHpvIXrquC7yIWwgyr3ZkFWqP8BooxGtxmR3Mi+l5c/TrcdMX/qBT9l0I2QkU+ulMLr+jQrLrLtYZqgSViarqObBsXhJK2Ki+/6CE2wOtfC6/jYjomUIauzPpPHChSGkjTKHXLLXfYOphkppTE0gTM0xFCxj69VamSN/4+9/wySI03zO8Hf69pDR2RG6kxoWYUSXbq7psV0T3dzFNVybu/2lkuxN8Y9I5dma7Sz45mdWjPanXF375Z2xg8zR3Jvqcmd4ZDs6Zmeme5pWV1dXQolUdAiBVKFjnDt73sfPJEAqgAUqgoJoFD+M4MhwsPjdRGe/vfneR9h8p8crvNfn7hEK4zZ59qcjgNIs/zJYSqx0ZggxbFc/DDlBPvRhM6sArtSxUoErm1Q1TU0P6Jm6bS8kF6nzbNTExhCUDZMqrUic2hUbYcFx2Zv0SGWCuMG3lQhLCqWuq47SM4DwKP/KVHrBGKwTGWwCq2zUBqHyjxMHgR0WH0D2mfgib+czU3m5NyAXCTvMbXJIgeenOLy+R4bFwe4ZYvNJR9SqE5Z9NYjkCDirXQuB5yyIAwULUNCU2dftcDl9wboLqQRWcSqTha04wqC0TXqaUKagNAVkReTJCm6BULTsGyDQTti5VQPp2DQW/NI0xTTNoiCFH+UlfIKhiHBKGLu4BgyqnLm1XW6mx5L73UYejFTf2YvytKZciymHAsF/O5qi29O1PhHx/by2mBEnCr+2OgxlSQc746IVYIpLMpqmX48iYlNSejECexyLI6NVTjvhega/OnGAABfSsq6Rig0VsKUz1WLnByOCJXkyWqJQ7bJtG1lh30TEXTd2e3X8doayeYm7kMPfaLfVCmFUjGaZn2icXI+AYZFoIXYQTvLgUSCTGHmEehPwvkfZHmSR34FjvzqRy9WkPOZIRfJ+wChaZTqLtEoAV1sKR0M+tG2D7VcE0QjhUwg1RTlugmDAE3zafWzMmpXLEwMUAmYFgRDBQKEAeUxG7dsYpg67csjRsOQZEtUNVMSehG6lYnx0nttLNugWHVwyyajXsx4QWf9Yo9UUxRqDrNH60zsrrB6vkPkJfSjmAudIeHvnOLwk5PMH87meB5RHQ4nx1lLJrjoR4RpZrl9ZazKv7i8ydNjZSYDyYuRT9VawEp1Rn5KEYgNmKm6PFRy+Vy5yP9vZYM5xyRSigXbZK/rULIMxmyTR8oFfmWixo/bAw4UHIqG/tF+B9NEuwPFADzvHL6/xPj4lz7xWDk3Zzg6TRy1qdefueHnlfIRGP1OFsDT2JsVM988A4d/FZ76q3Du+1kKSC6QObcgF8n7gLGZIvsfbXK8ExIMQqrTFr3L0XbCP0DoKUwzy42OATVIsF1JGodE3tUbuzChVLUYdKPtCFmzKJjcXUHXNZZOdjAsDa1uo8cadVsnHEaMhimOpRH0JboLmq6j6RqDls+w69NcqFCbKKDpGkIXBF5M0IvYXBniBQnDXkRR05gsOAwv+xSv7dFYnsKaf4oxy0QCX6iX8KViPYx4uDzPIE74rZ9fpFo2+dt7Z3GJ+N7KW4yMPWwkKa4p+L21LhOmTt0w+LMLNVzd4LwXMJKKvz4/QdnQsTWBEIL/1czHC8AwGg2Mxifv6FEo7Ma2J/C8i+hGEdvKi2PvBK4ze+syguMHYepo1t3DsFGVOQb6HspphJh5NCtUkMY3/35ODrlI3hcITbDviUmsgsnPv30OmaboVoTQodSwWV0PCSxYcC0iP8Ip6KSJJBmaJFGNStPC9yJUCpUxl067i0wFGhaFisAqWZiGxuWz/SwYSEiGfoRWtygFgjBISWNwXA2r2qI2YWBqMwxaEWGQgA7ddY/5Q2NYtoE3iPC6IYNOyBlHcel0l8dsk4d/YY7mrgrBMKa7MqC35rPnkWaWh1KeogDscm38YYRbNNldcIijlJffbLE31jjWrDFKU2pmwlPKZykWHCyXCPwYzdUxgXnHpqAbHCw5/HKzyt89tcxbQ49fHLt/6qUKoWMYZTzvEpqW59ntFLpeQNcLH/wgHGY1X+sL8Gv/I5x/ARq7SKafYeO0j3O4gQVZDmSeB5nzIeQieR9hWBqHn5nizGvrWAUDXRMUSjZOonA1QRpJTBd0XaBSwdzjYzRnyiydajM6G5EmEEcJ1RmTzQsBurIoVmyq02UGbZ80lWCAlOBupBh9H3d/jdaKBwKqzQKJrDNsR0TegELZQjd10jhFSfBGIevnB+x5bJwkSpk93GDe1lCvtLjcD1BSAw1OvLDCdHmV5rEjQPO6Y0xjyeKJDgtHGzhFE8PUmFuo8FTDYKp0loJeZbx0mLnpL3NMKbooLGJ276nzjxbXKeoa047FRpSiCPmViSpPV4r35gf7ECqVTza3mXNz4riLYZQR4gYu9bAPw/UsJLsyA8/8dSDLq933+AebbOfk3IpcJO8jpvfVmN5Xo7UyQrcEaaRAExzYXSVNFEsn2xTLNrOHapx+eYOoH7EWDfD6QTaNqcGwE6P1NeqNMnEoiJKsh6w3CBAim6cEiKMsGHbtfA9dz6ry9DZ94hCikUWxYYACXVc05yqMehGv/sGlLP5BScJhTKFiM9roELRHIDRaZ5bxVi5Snlsg0KZZuZSw7xmJpl9tTZXEKdUJF6eYPcELIViYq7BAhSQpomkWmmZAM7s0J4A47qNUyn85P7E9zkYUU9Z1jpZuYEncY5SUhGfOYO/bh9A/2rzo/UoiFYtB9IEUmnuBlDErK/+O8eZXKN4o/aYyk/3LybkD7HhnWSHEBSHEW0KI40KIV3Z6ew8CCw81eOgLczz5q7sRgKHrTO6uUG64jM2V6G2GCFPRuuxx8d1N2oshQgdNZAE7aQKRJ0EoquMua+eHJEGKXTKpTRYwbAO7IijVbNhqn6WUIoklkQ9oEEcpcSyJI0ln3WfUC0BkHYVWz/bQDR2vF3H+xIDQgziUnPd8lkhJEsGlkyET82UGnYBR9+rkahKldJaHyPRqVqeSitbKEE0roWk2l060GHaufqfXex3Pu4DnXSQILgPQtEwcfccv34+FiiKStXVUFN3rXbljdJOU015Aqm6SZ3QXUSqlVDqE68x++Mo5OZ+Qu2VJfkUptXmXtvWpZ/fDmYtSKcXqwR62a5Akiuk9NRQpl8/3sBwd27VAgZcklGsW3iCiUDEp1R26ax4yTpGpYuHhBqdfXsXvR5iWkXVKSBT9VohhZcLqd7NUEBRgQRwpUplQKFgMWhGGQ5ZHaUKlXmT2SJ2N8wM0XUe3UqYbHRqlcaq7JilJDRkXWL3YJ0kUswerFGuZBWIXTEpjDqGfkMaSUt0hTSTDTkhlzEWzdSpjLu3l06CmMQohUkYUCnsZjU6RlWO/v9Ech9IvPH+vd+OOMm4ZfH38/pj31XWHsbEv3OvdyPmMkLtb72cUWI5JqWGxueSx+5Ex3v7BEsWyRZIoBq0AmShqTYcoSEgimDpWoVCxkUoRezGt1SG9TQ/DNJBSYZka1lQJQ4ON5T7hYKuMXVmjPuXiDWNs22TYCRGCbV9DEkChruN1UzaDUZZWoimEltWBHl5uYYzZDMICA11Qmy4QDmNaywNmDtS2D8mwdOYONbj4TguhQanuYFg6ux66GpFamyjwettipASHrAlEQXHBj9hTOnQXT35OTk7O3RFJBfyxEEIBv6WU+u27sM0HAqEJjn1pjjCICYcpiyc7hGGMU7QoVE1Wz0lMx8AwBWkicSsG6xcGaPaQeJRQmyzhe0NG3YhyzebwszP4g4jN5SFhqqhMFGhHI1ILRMFg9ewIu6yhGzpjM0WSMKXb8jELWfWfNJJYJUEcKlpLI6yChuXqOG5Kr70fbQT1IqRhQu/ykH1PNBkNl6g095GmktbSkLGZEgiFpovs9U04umcPBV1D03Qio8n6fTIflpOTc2dQYUp4rnevd+NDuRsi+QWl1IoQYgL4EyHEe0qpH135UAjxm8BvAiwsLNyF3fn0YTsmC8fGGQ1CNE3D60dsLA1wCiZpmlKouswdGWP5RBvT0ZFal7UOREFCHKRoetYZaNgKCMMErxuSJpJUKsbniywtjaAVYRUE49Ml/GGKN4gxbYGKU0CgGRCO1HbpOyVAJpIkFOz7BTj7ok0UJThlg0E7Jo4EndURyydjbGeR2YPj9Nd8OqsjEIK9jzUxrZsHtUxeU4x81rGYdfLqNTdDKUUraDHmjN21VmCfVkajc0gZUS4fvte78pmnaBV4buHxe70bH8qORz4opVa2/l8Hfg94+n2f/7ZS6kml1JPNZvNGQ+SwZcVZOke/MMvnvrmL+mQRdNB1DcPS2Tg/YNSP8PsxuqjguBbtyyPSJNM1GSucsklraYhTMtFtDbug0131MLcaL5dqDsNOiD8M6G16bC6OCCOIPUU0UDgVtouqWwWIoiw69c3vwNh8gdqEy9K7HUadgLHZImvnh6SpiYxg41wPzdCY2ltl/nDjlgJ5M/zEZ7G/eIfP7KcfP/F5efVl/MT/8JU/4xhGCdO8P+ZWcz4d7KglKYQoAppSarD1+uvAf7uT23xQKdVtHv7SPEoquusec4d8Npb6+IMQrxMShQlRmKBkCsJBGAKnpOMPUpAQhRG9TQ9/mJCSUizZxH6C5yk0HeyinuWVSQiGKZqAVGatu5QBJFmOtuNkRdXjIFuWpCkKuPRuB8vSkQpAY/G9NpoQNHdXae6uUG8WccsWlvvxL7le2GPVW2W+Mn9nTuoDQsEs8PVdX0fXdN5oX6LuVFkoPPhC4Ps+mqZh27fvhrftiQ9fKSfnGnbakpwEfiKEeAP4OfBtpdR3dnibDzRCE1TGXPY/McGRz88ye3AMTdewywbBMGXYTYijhMPPTPPr//XjlOoOCkhTWHy7h9Azq9IbxJTGncylqoFp63i9kMqky8TuCo98dY5Kw8J1DUxLbAeVSqXQtyJiAcKBwrQ1dA2UULhVgySRjDoJ7SIMuwFnX80Suz+JQAJMFad4auqpT3YCH1D0rLs2J/ubnBt27sk+SJnc1e1tbGzQarXu6jZzPnvsqCWplDoHPLqT2/gsopsajekSjekSex9pIqVi+VSLN8wlQi/BtDVWTnfxRxFu0SAJsx5YsZYAgmLFQUmJigXNXWU2FvuEfkI3lPgXelQLJmsXoDxu4w8SvKXs5qcbkMTZvGSxYTDqJuhG5vKNEkk0lBiWRBmgUgiqDmGiiPwE7ZrHsbXzPXRLZ3z25oE7OR+P39j9OdrtNr1ej2r17lmTcdyn1f4hzfGvbzc+DoLLeN55QFCpPIJh3NnKSPPzuUchZ+e5P7Oxcz4SXj/k3PEW43NlFJkoddd9lk91md5fRzez3EO37DA2UyIJE+IwxR/FCAFuwcKydFwJwlckScqwHbBxccCoG2xfJUpmJe3qU0X2Pz5JqWFRrNsIHYoVC9sVSAmGglJBZ2rZxw4UQtO4fK5HGqdcereF5ZqUajZRkKDug+T0B40kSUiSnbHq4rhLv//2B5YbRplG/bltgcyWVbDtSQyjcssatkopgmDlI18LQog8UClnx8nzJB8AbMdgZn+NYSeguzYCTRCOUuiBJgSayNypM/sLlKoOy6c7+KOYXUfG6Gz6OGVJGit2z5eQKayc6eD5WfstNEW5YYGuGGzGkEJ3fYTX89EtHa8bkURbdaI1kBEYNoRRShqA10sQAs69tsGply8zd7DB7KE6miY4d3yD8bky1eYnb0+Vc5WJiZ2cd7uxkAkhsN7X7cQwihjGvg8dMU2H9PpvMNao0eu9SqXy8K27e+Tk3EVykXwAMB2DA09O4vUjDFNw4ueXiQsp/iBk1A6ZPVRn7nCDcsPh0jubFGoWY7Mllk61sYsGQkGapiSRQiYSmYBmZEUCkFkTD2FocEU3yUrJLTw0xoW3NkiilDQFocApaWiGhtATlISJ+TIHnprk/FstLFNn4aFxlk91iP2EYs2mMu7s6LlJleJPNvs8VS0yZn20y12pzLUsbtKw+bOIadbvuIAZRpmJ5jcBcJxpdP3+LFif89kkF8kHiELFYu7QGCtnewgBo76FigWjbsTm0pDuWtbtwy2Z9Dc8kijFdA0qTZdixWLlXI80SlHqamCOUYBUKkQs0LYavBcbFr2NiMtnuvj9FMPOKvIIAwwHCo0hht1ibPJpEj+htTKiVLMo1x36LR8lYWpvDcs1dtxdpgvBkZJDzfzoKSftlRHeIGL+8CfvMflpQSlFkvToD96hUX/2xl02bvId06x97O1euQ6Kxf0f+CxaXCReWaH4zI2bK+fk7CS5SD5gVCZcJuYrCAOmdlc4+fIalqNTny7y6rfP05gpUajb6KaGW7KI/YRulNBZG2WttFKYf7hG69IAr58iY/D6MfpWfiQGDDYjlIR+O8gKqm/NWVbGQLdiXHuKICxz6e0NgqGkMmYxubfO7MEGw06AEAKnbKLvQIFyKWPiuHNdqP8u9+NV6qlOuNs1Zx8UpIxIkiGWdWPh39z8Prpe3jp/N/99rswfCiFI0yGt1o9oNr+Ort95z4DRbCK0PHwi596QX3kPGLqu8dAXZ2nOV9B0g8ldVSZ2VYmDzEL0RxHhKCaKUtprQ0oNB03X8fsR+x5vUp8q4ncjhBKMzRaQMRSrJhN7qtSmXHRdIFVWPMA0dYwiuEUdYUAam3hdm347xO9mlYF0A6yixdzBOptLQ3rrI/otn3CUkKaSJErv6PGH4WUGgxN3ZCzD1Ldben3aUSpFKUm//zabmz/4wOf9/jsMR2dIU592+wfY1iSt1o8Iw/UssCZc3V6303mJtbVvMRqdBrbcpRPfvKMCeW0Qj+Y4mLN5x4+cO4MQoiaE+B0hxHtCiBNCiOdutX5uST6AWI7B7IE6iyfaTOyqEAcJG5cGTO2vMz5TwBtGhMMYlYCKUiI/Jk4TTr+0AUIRDCM0UxBGmc81DVLMSBJoYJqC2FO0Lnqgg+lA6KU4JYPQz8b0kpRwpHAbMLXbJPQU599Y58BTU/RbMDZbRjMEF9/exLIN5u6gO9N1F3Cce58aoFSKEDphtIlSCY49dU/3p9N5Cc+7QBh1sK0JTp36+xRLBxhrPI0QDt3ua7TbLyI0k3L5EVqtn+EH57HtOUDQ676GOf5VomgTKROq1SexrKtF6TXt5mUDo6UBwtExxz+892c/6vP25tvsM2NKhTmKxQ8P/MnJ+Yj8A+A7Sqn/RAhhAbe8MHORfICZO1xHCMH6xT7DbsDYXNaVfbAZksSSA09PYxiCYrPApXc26LUDkIAEo6CIgoijX5gEqVg926a9mWSfQ1ZcIIV4BEKH2qRDMIzptUIMXWEVBaYdMxoOCAclBDDshIw6MXMHTeIgxXQMpvfW7vhx34u0AKUknc6LlMtHkTKm232ViYlvkMRdpAzvqUj2em/QH5xkOHgXhM6lS/8YTSvjugu0Wz9GoRiNLiGETpoO6ffewLSq2PYsUkoss0al8iid7s+Iox6WNY6mW0RR1v3Osuro+s3vM1rJJIgvEw4TSqUDt9xXV3eZcCeoFWqYZvmOnoecHCFEBfgi8FcAlFIRcMvGr7lIPsBcEYtS3eHws9OYpo7QwB+ESKk4+vw0f/pPT9CcL5MkcqvIK2CBZen4o5T2mk+hYiFsA7StaB4JaGA5Wd5kuebg9RLCKEFFECuoT7tooki1ViApb5XG82Ka80XqU1n0Yrmxs5GtdxeBZTXRtAKGYVKvP4UQ2g0DUe4WQbhBu/0zUBHdzmsE4Sam6SClQMo1BoN1BgMB6GiaA+gYRplUBqSBJE0DomhIEFzAcaYYH3sex53DtsfZWP9TpAyJ4y4TE1+jVDqEEDeevTFqDrpvo9SHz+6Yusn++r07ZzkPPHuBDeB/EkI8CrwK/G2l1OhmX8hF8jNAoWJRqDTw+hGddQ/d0Hjym7upNgssHK1z9rV10iAzEc0CxB54cYpmwuq5PrVJB1KoTzj4w5A0VsQh6JZOtVZEJgmDDZ8kUjglPStQUHIYmykQeCmVcQeBxtzhBqXagySMVxFCUCod3H7//pzBu0kWbdolCBZZXf09LHOMpdYruCLGcSaBLpkrwODKQ7RSZZQaEkcJhllFCEUUjQiC44BgOOxjGHWSzR/RLuzCtqdJ0hHl0h58/xK67lAo7LnpPrnuzI4fd07OFuNCiFeuef/b17RoNIDPAX9LKfWSEOIfAP9H4P98s8FykfwMUahYpIlkVddAwKgXYhdMvEG87T6VKkvlUMl2uVYsSycIU6JhTDBSNOeKbCyO8HspKh4hkex6tMHSuy1MR1BuOJQagsZsEa8f4xZNqhMF+q0Ap/TRW15FUZs0HeG6936u8X4mTX103aXbfZWRd5ZYn6JHhf3Vx3Hb7yCQ2y5SsMji9kzARtMUmlYjjjvE8WUgvGbkEuDT7x8HFH5wkWr1CYbDkxSLe2k0vpDnNubcT2wqpZ68yWdLwJJS6qWt979DJpI3JY9u/YxRbjjsPtYk9BIq4y6WY1CsWFTGslQHmWadP8yiII3Aqeq0N0d4vQDL0TEtCIMY0wa7kHUMiTzFuddahENIY0F31afbOsdLv3+ct36whF00OHt8g4UjjY/lYk1Tnyhq3+lT8UARRZtsbH4XKRMur/4Hlpf+NedX/g2RMYVSCRW3SsEuoAkDxzkKJEBA1vusR5r6xPE64HG9QGYFBDTRxDTHAIWuF0mSkGr1cYbDE3Q6LxOGa/R6b9ztw87J+UgopVaBRSHEoa1FXwXevdV3ckvyM0hjpohMXRbfa5PEEqtoEgdxVmUnBbesoxk6sRcR9FKwQJPQX89cc7Gf/W8WBKDQTXBLBmGQZBGuCtYvlEgjHV2LWL84oFCyMJ2Pd7m57iyum6cA3ArTHGN87MsMBu9Rrz2DwMGJL2NbsLr6H5AyIZURbmEG29pLECyRTUILsmflBIgBm6siqQMWaRoh1Ygw7AMjoigmSU7geTqW1cQy64D6gKUfhmsEwWWq1cfu0lnIybkt/hbwL7YiW88Bf/VWK+eW5GcQIQSariETSaFksvexCcZmyhi2xvhcAbfkIGPJ9P4y5XGLetOlVLcpNYzssWpL62Ivy2VLU1BKEI8g3fLcJiOBiiGJYelkh1Ev4OI7m/iDWwaS5dwE379Et/vqTT8XQmAYZSAmijuUSvtp1J8jTYcUS0cwrSZKKZSEbu8FYEQmkh6ZQBpkLtiY7LagAxJSHyl7aFqR7WoSxEjZIUn6JHGfzdbPWFv/HpY1jpQxSTIEIEkGeP6lnTspOTkfA6XUcaXUk0qpR5RSf04pdcvecrkl+RlFCEF1osCoE1CdKDJ/sIFlG5THHTYuDtAMwd7HJjn/5gb9zQDTFHh+iu3ohMOrBQA0G2QIo3YMFpQrJkkhZrgeUHQDNMPBKTbQNIFTsjDs2y8P53kXse0JdH1nC6ArpWi1fkS5fBjbntzRbX1cTLOOELf+cw2CFXStSRhuEvgXKVeO4nmnmJn+DfriXUqlAwz6J0GtoWl1hLBJ04DsNuCQiWUJGGRPO4osrqcQIoRJZmGmXBVLSRSvEsUdlPTodo/jutNEcYuxxhew7UnKeZeXnE85uUh+hhmbKTE2k/V0VEpRbe4nGCU88Y3dRF5CGKR0VgekqUIohdQg9pJtYdQdSAPIbpw6ROAPYyanq0yMVem31kkig0PPTDLqxlx4c4NSzca0bk8og/AymmbuuEgKISgW92KaH7+owXA4ZG1tjX37dib53TDKW5bijQmCy1y48FskwyOM/C5TC8cAk2LhALpRxLbH6PWPUyzOIVVIGG4QRR1AYehTGEaRcvlLtNo/QMo4MyQBDB1ISdNVoAwMtz4QOM4sYThAqRYKaLV+SL3+HLZd2d7nUinPdcz5dJOLZA6QCYVbtnHLWQBPd32Abmo8+uVdtC4PKY85+MOYpZMdahMu3VWPxZNtDEOgOQPWTgEKkjTFH15ifs9RSpUCYzNFQKCbUB5zMR2dNJEg+NDarY36szt/4Ft80shZ27bvapPjawnDNXr9t5iY/DXKex/F886Rqh7DwXtY9hiuu0AQXGB87Ov4/jmSpI1t70LKEClNEBCEq1sPJdeKmkFmXV6hC4Bp7gFCgmCVzDVbRClFt/c6QbhMtfIopdLhvN1VzgNBLpI5N2RqX3bDF0LQmC1tL99zrElrecjls32mdlc5/Ow0L//hBUr1EbMHanTaHapNSaFqYbsmmqGxfrFPHEjKTQfD1Fk910PTsk4gVwhGMcCntlaqaZqMj9+b3Mg47lJwZymXHwJAjrqYRhnDqBLFbQy9gEwTBoOXSOLMM5AkWX1b226gZESaGih1ESm9a0a+MjcJgiKKgISUkt1gODxLNn+pAzphuEyhsIBhlECYKCXJyXkQyEUy54bcqrRbY6bIM7+6h2E3ZGy+zK6Hxzj09CSzB+r0WwGVcSezPusOykypjNtYjoVp62iaYHJX5WoS5ha9TR/49IrkvSRO+hh6BSkTNM2gXn+Gfv8tRt5JZJrQ7b3C+PjX6J397wjCTWq1x+j33yQIzpMkba5Es2bTh4rsp9cBlysBPoo+oGGQMhy+CoxhWxNY9m6GwzcRjGNZk1nlJgSXV7/FRPOXSKWH68zvSHeQnJy7QS6SOR8ZIQTVZoFqs4BSigNPTGal64SgPObSb/nEgcRyDH4++DkHpw/SLF8thq2bH3SzTu6q3M1DeKCo156i1frxdVV/KpVjaFoJ379EnLSBBE1ziOMRnneBUukQSeKRJCtbo9hEQxdhxFjuiKzIgE/mbi1svU7JImAjYEAYeSRJhFIRbqFMECxRKOxiY+OPMY0KmnBw3Wkss56LZM6nljwFJOcTIYSgWLWvszwrYy4Hnpik3HB5duZZ5kpz93APPx10u6/ieRdvuY5MU7prqzf8rF5/lmLxAL6/SLv9Iv3+W3jLP2Rl6V+i6yXiOKAx9iV2LfxVTNMliTsYhkUmfAAhpjvEMK+UsAzIxFAjszQVmXC6QIPM1RqSyiGm2cTz3iIIlrHMXUgJSRrS6b5Emg7pdl8hJ+fTSm5J5uwoRTMvV3Y7OM70LaNXAYLhgNbSJarNiQ80Ida0zE1tWWNIGeN556gmZdLiU7jODELodDqLmGadscYX6PXfIQjWrxlBRzOuPOhcG7CTuU+hCvS2/pXIRDNL74jjjSt7yMbGd0jlENCIo02EsHHdaZrNX0KI20//ycm5X8hFMueu01oeoBSMz+XpAVdwnA8vAF6o1tj3xNM3/KzffxvHmcGyGhSLexmNTtFrVqhXntseW9OLJHGXTuclNM0kTtoIMY5SWT3XTd+i6tqYxNj2AppmoWtlRt4ZlLq2OfaVNBALIQooNQQKlEoPZ5V8pETTbOLE27Iin6TbPU4qR1TKD13XhzIn534nd7fm3HWckoVb/uiFzj/NJMmAXu84aseS67XrXN7j419FkUW+QpZHub72Lfr9N5EyYjg8SZoGjI39AlAGlZJGI8J0BLgkyQilFH5wCdueInOvXo8Qla2UkRQIGQ5Pb81xjpByE5kGCGHSbv2I9fU/YjQ6y2h0bgfPQU7OnScXyZy7TrFqU6za93o3HgiUkvT7b24F5Qy2l2uaSbl0CNueAKDbe50w7FCuPIplN9G1CpXKw9j2GLY9A8KmVoWSLoAuadoHFGkaEwRnyQJ3riAAB6U2SdPzZAKaAtdW9zLQdAMIKRT3Mj39qxQKuxkOT6JUvLXvKhfMnPue3N2ak3MXMIzyHSn0LWVIr/8G1cqjaJoNKKQMEcJGyusFp1BY2H7dHP8KBXeBcvkhwmCZcvkgUdxhbe07JMkqCQk2VUyzudUqSycIFonxyWY7NUxzmjj2yQJ6AgCGqoYtXEzWyYTSIJu/DND1Bo7TwLJmsKxJLKtJvfYUmpZ5EUajU0Rx564WjcjJ+ajkIpmT8ymi3393q5xc5gQSQqdWe+q6dZJkgGGUUSrl8uV/j6bZFIv7KBb34XkX6fbeod15AcfZjUwTIMHYyolM02xMpQaAusbVZBDHa1xfgQfCZEgkUhpG1pcyi4T1AY8oOocQIVG4walTfx9NNwHF/n1/G8eZwXUXsKzmTp2qnJw7Qi6SOTmfImy7SaEwvx3N+n7S1GNz8/uUyw8xGJzE86ZoNuvEcZuNjbMUCnuwrQaGXiGOWyAiUAIw0PUKmnBJUg/oA1fq7ZhkdVvbZIXQBbreJE03GbfsrcAdwRXrMussApBQLj+KUgm93msUivtIki79wXs4zgy67u54Xd6cnE9KLpI5OZ8iXPfWOae6XqDZ/AaaZqJUAc/zKRYXMAyDKGgTpx1sZ4xa/WmS2CNJRmjafmTax3GmGQzfQROKVF1NAzGNJggHJR003SaKVtF1HV2fJo47mOY0ul4njjdJ0w5Z8QEPSEmTEWnaJUmH6JrLxPSXcZ2pnT5NOTl3jFwkc3LuAhsXzyNlyuSe/R/5u0opRqNTFAq7t+Yhb42uZ+uUStOUrpbdJfzJayQLOpQTCoUFBoNTxNEGmj5ASomIBFIY+GmCs91f0iNO1smKCChIIwgjIi4iKKEYEcfe1jxmEYGFwgdCNK2C51+mUJhmauovEQTniZM+xeJHPwc5OfeKPLo1J+cuUKw3KNU/en5gHPcZDk8RRS2k/GDDaqVS0jS8rbHcxx+nuHCMQnEfvr9IqbSPZvOX2bP7byJlgu+fR1z2cAYJWREBBRTJnK5ia1kVpAVI1DUFzrfdsEaJbE5SQ8qEMDxHr/c2w+EbWzss8f0V1tf/+COfi5yce0Eukjk5HwGlJO32T7fzD2+XQqVKsfbRW0dJGZKmHo3G529YkWc4Ok23d3tl33xrAzQol45Qqz2BrjlINaTVfgnHriNECdyEbG7RJnM0ZYXODaOytbwLboFMNBWZa3VEVmDAI0mWtpbHwABooOs2SibMzv5FdL3AcHiKVN6esOfk3Gtykcy5LeK4T7vzUt4CCYFljaFpdz7gRMp0O29QyhClFLbdpFZ7/KbfKRb2U6t+DqXUDS1N4JpcxBRFVp1HILZyKDWGw7eJoh6WWUWWQtBCrM0rdV2z/7NuIVesS0EmjglXekyCyjpxX3mNtrXegDjeJIp7pEmIUgma5lKrPcVwdPpjnqmcnLtHLpI5t4WmWVuWzM1baH0WyDptHNqe97uTXHr7DdrLiwBstn5EECx+6Hc0zUDTHEaj03Q6P7vhOput7+P7S5TLD2Fb45TLh6nXn8KyGui6ixAaQnMoFA7huvugWCUaN8nyIT0yi9BE0ybJhFGi6zVc9yhwTQ/N7ewQgRDjCNEkszATwnCRbvdlGo0vUCwu0Gm/gLxNN3FOzr0kD9zJuS103aFSPnqvd+OBZnLvASwnaylVrz2TNTC+hjQNkDLENKvXLX9h5QXmijPMVW9scVbKxzDNq65eXXdpt1/EdWcpuHvxRhcRrOE4Tbq9n5K5TzWytA8N8DCW+8hKmC2iR5r28P0+mQu2CHhgaWTWpoZSIbpeIU1TrnQaaXfewLLGKBb30Gx+7QPHkZNzP5Jbkjk59wluqUxMytJgCdOsIET259npvozvL+F5FxgM3v3A9w43DjNbmf/AnKWUCa3WTzGMIpp29Xl4c/MH6HoBISx03aJY2kO98Qyd7kvomoNhXAkwCrbmIosgXZAxWc6k4IorNaNI5mJNAQ1NGyMraXf5mr3RCYJzxHGfUulALpA5nxpySzIn5z6iHbRZGa0wV87yIZNkiG2NY5p1HGeWK+2prmXcHf/AMoA0HdHrvUa5cgRdL2wvLxb3Y9uTtNs/I457FAv7UCiiaICSKWnaR6oUQ6/h+WcQooJ5aAbPe4vMp3plztEhc8lGZOKZ1XCV8toWXCa2vRchUjTNYXb2NyiVDtyBM5WTc3fIRTLnU0eSJKRpim0/eEXSZ0ozzJRmWHrvHexCEa24hG03MYysL2cYbuD7l6jVnvzQsUyzyvz8X8Y0K9ctd905lJJEcYsznfew4lVcTeH7iyiV4DrzjI1/GYgYee+g62U87wxZxCtkOZM+V3tKXhHN92MADmG4iGGUcJwmi0v/jHLpIebmfuO6riU5nz2iwGfp3bfu9W58KLlI5nxqUEoShqu0Woo4jtm9e/e93qU7Tr/fp1wu05iZw7AsDGsGIa7+meq6i2k2bnu89wskQJr6bGx+j1r1c0wnBnq8jkNImvqsrv0RYdRlNDyF518gjn00TaDrNppWRCmfJAnIJid9sijXmKxm6/tJtv7ZGEYRKQPa7Re31v9LfNaDwD7rpGZKb6Z3r3fjQ8lFMue2ObcxpD2KeHL37d+k7yRx3KXff4upqV/k0zCdLmUMyNuqkgOZhXzp0iX27t1LoXLjOTvDKGMYZTzvIrpewLZvr0B4EKxspa7YaJpDvfYMljXOsfkFWu2fItDRdZO19W+jpE9/8C6W1cQwAqJoEU0ro2S81f5qxNW5SY9sTtIic7vyvtdZ15A0cVF6j0JhjlLpoe351pyc+538Ss25bZplm7l64cNX/BAyl+HyR/6eZTWYmPgGum6i6/on3o87QZp8sBnxFQbDd+n137jtsQzD4OjRoxQKH36O03T0gYT8lSCiGyc3XH80OkcYbqCU4qQXoDSbVutHSBlhmTXiuI2m2UxO/Aql8iGkHKDUAMeZIGUaKSFJV4iiVcBG00pcmZcUQieLas0I0ciev6/cXnSk1EjTFNfdw/jYl2/7nOTk3Gtykcy5bcqOyVTV+cTjJOmQJLn/3SwfRhwGnPrZC0S+94HP0tRH1wpUK49uNRdOP3S8fr/PaDS6rW1v6vt4K6xdt2wljGnHH9xO6I2Iu5O47hyxUlwOYmIcXHcWIUxKpSOUSoex7WkOHPhv2L3rr9JsfoN67YtUKo9SqcyRuUgdrsxLCjSyaNYYpUZcTZLUkUgyK7MITGCa8yhikmSDdvvHxPGn/7fP+eyQu1tz7jrFwp57vQufiCSK0Awd03bY/dgTWG4BpRRRtMna2h8wPv4lNM0mDNdYu/QqbqWG5biU3CdoLS0yc/DwdtDKoLWJaTs4pRKe56HrOuXyB8vPvZ+mZWBp18/pPVkt3nBdJRVKpsRxF0Mv8JWxrXlKMys07nkX6Pff2qrs0wAkvd6bFIu7qVYfoVY6jEpGBMESUiYYRpkk6eO6ewmCNZTavGZrLjp1oEWWQ5mQJjpS9QGFaTZZX//DrKIQCY360x/l1Ofk3HVySzIn5zaJfI+V0+9x6e3jvPR7/wvLJ9/FLWWCFoarbGx8H3/Qorfew7ancN051lZeot++SLX6CJqmoRvXP5cO2pt4/R5R1MZxVihYJkp+eOm/kqEz61i3td9OqcT0gcP0B+/geRe2lysl6fWOoxQEPXMrIAfK5UfQNIvB4BRpGuAHl0jTEVkd15B0KRPFJOmjVMDVtJTMyiwYV8rWScBHqiv5kjpKSqRShOEGgb90W/ufk3MvyS3JnJybIKWk1WoxPj6+bfmtnj3NYHOTNI6Jw6y+anzxItbcHMXiXnqbq2yuvE0cd7AqAx5++jfRND2reGPC1L7rcwRnDhzG63U588rPcGtw5oUX2ffk09SmZtANg2pz8o4dT6P+LKDR7b2OZdZx3XmUSjH0Ou3VU4yin1NrHEWqEYbhousmw8EZfH+NKAowzTJxpNCjBF00MawCcdzZHj8mxiQkSUKuFkcvAArHmcY0x6lUjlIsLjA5+UsodeP505yc+4lcJHNybkIcx3Q6HWq1GrE/QsqsuLdTLOJWa2xcPE/kjej//PvIyVkOfPEbHDj0X/Lui/+R7tKIh7/0TTTNJI5CoqhN7AlWzpykUKnhjg/RRIGlN1dRSnLprXfobayRxhHd9VX2Pv4kE7v2YBeKmHY2D/x+K/RWyDDEe+UVCp/7HJqbFWP/o80BM47FQXsKXc9cxKkMCKMLzB4+iJQh3d5rhMEqtj2DobsoJUmTLkq1gUlsZxK5PwCR4vtLZNZiGV2v0kr7VPAwgSyqNWup5ThTaFoRwygRx13iqEMQLOG6C3fy58rJ2RFykczJuQm2bXPw4EEAXv6Pf8j6hfM0ZudAaLz1H/4XirUa00f30pIXqYUpy6ffI4kiBDVK401+7+//P5g9fJgobNNuvY4tDiMleJ0243tnWHr7PTqrq0ipsCwTv5cFtDj1BpHvsX7hAlOLlyg1xhm01pnafwinWKQxM7e9j/GGh1FzEOb1MyfCMDDGmwjrqktWqawjiONMb71XmEYV06yhaWtUq59DBjV66R+j6S6aZmbRxEYVlCSMVgn8iwyGl7GtGppwUUJSrT7OcPguY3hkhQZMYIQm6miaIIpGSNkiijaZnv7zhFGLtfU/YtfCX9uKjM3JuX/JRTIn5zY48vkvEQUBp196gTROKdRq6I6i1/k56ajGMLVozkve/O53sAtFLNviwvHXWDn5NuWxCfwgpFS+RKFWY+3SeS69/SZmwUF3i2yEMbXRGmylTgS9Lp04obW8yOalC1jFAnOHH8IpFLGc61t0pb0QzTbQzevnJ4Wu4xw6eN2yPzNR+8Bx+f4itt2kVD7K5ZXfp30hpjw9TqW2H6UiPO8scbxOmo4YH/8yly+vYxgOcTJEiKyQuZQ+qDKwsXUMbQCk8pFpxJX+lEkSomRErfo4pjWWC2TOp4JcJHNyboP69AxKKXobm9jFApuXLqAJgVur4NZS1s69xYU3jwMKtwHj8/NUJqdozMyx9O5bJFGIt9FCoHBLJVAp8WhEG412Y5LaYJNsDg+QkjgMkXGIf+kCydQ0l955kxM//B4zR48xPj9PqT7GzIFDlHaNo5smUeAjhMC0HUIp0REY2q0r2gghaDSexTBqSBmhCNn7uecpl/bR671Ovf4F+oM30PUiyyv/Ct9fx7amkWlIEG5gmjWkbDAYnEOpLllKiL81eg0hFEpFV48LRRhdRqrDeKMzNOpP56Xpcu57dlwkhRDfBP4B2V/KP1JK/T93eps5OXeSYbuFP+ixfu4MQkDQ64NKsyzBtRC/P0LKhDQIcKs1But9vNY5xub2snzibaSSCN1AyQgFBFEMuoBUUR4NKI8GgA6GBUlWqUamWZGCQRpjbK7Ra28ik5j4zeNZSLqCjUsX6W2sM3PgEIvvvEWhUmX6wCFe6Y0o6xqPVG6cEnItplnH8y6Rph7F0gEcexzPX9yeL1QyQtNM0jRmNDpNFLWIkyGWVUHKGMeZIwjOc7XCTkQ2F6ltzWMKdH2ONO0CHkk8QKYetnPnApJycnaSHU0BEZk/5R8CfwY4CvyvhRB5U8KcTw1KSjqXl7l89iyRN0QmCVxbGEBJYm9IGmTpE743gkSShgnr588Q+x4yDCk2xra/IuMETb/qHtUsC3Tz+nGvSQOxCiWcYpFitUYqEy6+8wajXg+ZJpx44Qe8+oe/zzs/+lPsUpnl996luXSWvUhSpUjkB7uGXMH3L9HrHUfTLXTdZaL5VaKoQ7/3BrY9zbnz/x98f5lm86vMTP9FwnCFOB4Sx318f4nAX2Y4fBNdrwJFTHOBbE7ySi3XrHSdpplcSRMZeWfpD05iGmMkyeBmu5aTc9+w03mSTwNnlFLnVOZ3+dfAn93hbebk3BGUUpx55WcYls3r3/kW6xcugkxJNeiWUzBv4IiJrylTd43QDVubCMNCWDalsQaGZWGWKpiui1MoYzoWCA00Pfv/yhCA12kx2twgiWLC4ZDQ8xn1uiy/d4Jhq4U/7OIP+/z03/0rlt57h2B9lcQb8iebPf7nlY2bHp9hlLGsJt5mQuJZtFo/YTB8mzT1WVv7FqZZxXUXGI5OMhqd2GqjNcC2GxQK+yjFe0n9hDRtAR5xvIFjHSATxCsu1hKaZuE40xh69qBgmSVS2aPbe+Vj/zY5OXeLnXa3zgKL17xfAp7Z4W3m3IITQ58x02DCNu/1rtz3CCGY2L2Xs6++QqFRx2m3SZIY0pBSFEGccKUNMboOVoG+H1Mk4AMhKUmc2VJGNn+o6Qblxjil8SZuxebsay9BCLblEoYeuu0QpylJEm+XEjdsG9330QyD9vJF1sIIr9NGGAajXgfNMFkavMPU3v0Mu22e3nuIjejmuYimWcc064zUJZSyKBb3Ua0+xmbrp1hmjXK5hususLHxPWxngoOH/q+cO/f/wvcXCYNVUtOHIAHzyjZ84nSd7Nk7AEwsxqkGu/ArbWy7ye5d/1WWbxn3aNSfurM/WE7ODrDTInmjWfnr/D9CiN8EfhNgYSHPm7ob3NwBl/N+KuMTlMYajE1NM1hbo7uxjmlYWF2PyLaQwgAVYDkuSZpQKZswCK4OoOsUqlW8dhbxqeka0XCIXalQbTZZPPEOugGGpaGVy6RxDIHENC3SsI/O1T+iYbuFpuukcUgchnTXViFJuPTm62iGRRzElOp1zEqIW4WGZdCwPvxPfHwu+7uLohaa5uJ5FxgkA1x3liTxmZz8dTRNMBi8B+jYb5uYB2ZYTKBoj3BEF8seJwhWkTIgKyAQomllbM+le+kHRActFhb+M2q1YwhhkSR9dP3B6weac/8jhLgADMgizRKl1C2bs+60SC4B89e8nwNWrl1BKfXbwG8DPPnkk/n9e4c5UnI/fKWcbYSmse9zT6EbBqN+j97mOkoIrJlZVBDAKJtXi0ZDQMNWOlpjHL/bplCrI0RK6F0tWi7DCM22EUKjvXKZ2tQs7ZVFVChI4xHmVl5jkiZgGOjJNZZgmiDTBAl0l6+WdNN0E6dQJAl9ZFTk0htv4TQieuvrjNYTGlMzNPfvQeg6pmUTDIdouoblZt1GoqiF550nDNcolx+mVn0U37+A5y8SxwM6nZ/QbP4Zer3XGY3Oo09EaLaJxgJuvMF4sI/e+CKgYVlj6HqZMLyMY0+hlUqI6gJTtUcBiOM+rjuLrt9ei6+cnB3iK+r6osM3ZadF8mXggBBiD7AM/KfA/2aHt5mTc0fRDRPdMLDsIsVqgyjw8AYDDNPALJZwSxWi1jpFu0oYa8g4BjS8bue6eUnNdjEMncgbkaAxSlukmzFJKilVyijbYjQYoFkWtclZNpcvfPi+AUngMYxCSo0Gw34Hb2Ry6dVFhptnsZISzZndDAZt3FKJ+Ycf4dTPXiCIQo6Oz6BXyuh7p9D1Is3mN9A0g0JhF91uEdfdBcLcKiBwgs3W9ymXDzIUZ9B02FUbosUVnHgXG+FrQEgYhxSceQwMDLOA512kUNhFFuVaJU2H2/seRW10vZhblDn3NTsqkkqpRAjxN4E/Ivt7/idKqXd2cps5OTvBwkOPYhfLTO07wNq501x46zhpHCKEgVV08doa2liFsbTMRnsRt1Ii8PuoWAMFmmEiQ58o1hGWhek6JHFMEgQI0yKOYpQCkhgJtJYvQHp92yvdKZBGAbppkaYJJAnba8iU4eYGhuGi2REXXruIUyyh6x7tE5cZpi2K9XFGnWxetX3wES4VXSY5Rdw+S73+FP3+G9jONMPBe0RRm1LpAKkMkTJi2H+bWvUpNjdfIIo2UKrOrl1/neHwPdY3f4QiBQTIEV7vdbzyV2g6DVzpMT7+ZVYv/zuEZmIYte3jGQ7fw7KblIrX17PNydlhFPDHQggF/NaWN/Om7HiepFLqD4A/2Ont5OTsJJquM73vAEqmuJUS5WaTjYvnWT7xDkKCZjukAvSpIkFQQqo2hVofkj0oFRFHfWQMhmVSqDfpX14EBFaxTJLE6IZJHIbU5hboLl0CTcdyXaJ+P9sB3SBNY5CSNAzA/GDglTBtrFKBKAzQlMLv90jSBBkE9DfXmT54lCSK0S2d2vkTuJPT2HsnUEFKt/sKhlEh8JfxvPP4/tKWW9RhcvJXiJM+g+FZdL2EaVZRKibwV9GERZrGGOYYadpH1x1AcKA6i64ZGIWvsHvXf0G18ihSBfj+RZytHMl6/bm8mEDOTjAuhLg2dPq33yeEX1BKrQghJoA/EUK8p5T60c0Gyyvu5OR8BGYOHCYOAyb37OedJMFyCswcOsIP//k/ob++yqjdQqFjKIM0GCMVHlJGjC0UGawZKAnD1hputUYURkT+CMtxCUYjZBTgGQa6ZSOlzARSiKzoapqAsMCyIQqvppoYBpqmo1Dsmp6j2F/nnFLEMoVUIpMUdBNN0xi2NmktnqfcGOfYV76GWyoRdExCbwq74FJvTrO++qeY8eM0d30DTWi0Vy+w0X2HxG0zWH4ZaUk0u0QYLnNp8Z8ghI2uO0gZUijMYxgV0tRjNHwDlOTgof8LAPX6Y1vdR2p43iWE0HHd2Xv4S+Y8wGzeKhhHKbWy9f+6EOL3yFIVc5HMyblTmLZDtekwaLdZOXWCOAxIo5A0ilAOmKaiWK8TBw6mkmh6FVNrkIbnUSikEuimhS5TDMchGkWoOAYhsgAgTUMTAoXguljkJLp+PwoF3EoNp1SmMj5Oe+ki/XSFRDYwZZFIhoDCLhRwymWGrU2MFDaDJV74N/+CiX37GZuZBympz8zRXl5kat/nWG2dodq0SY0ew/CnBLKDozWwS3sZRSeRcQdISFMJdEgSHU3T0MQCnneBUulIVtNVJVy69E/YtfDXKJUO4Gx1HwnDTTTtw3tm5uTcaYQQRUBTSg22Xn8d+G9v9Z1cJHNyPiaPff2XqUxMcOH46+imSXVymtAbEgURmhAUazUK5Qq99VWiwCf2r0a5pjIlCQJKY+M8/tUv8coffgslNNLRANspk6oUGSkwTAxNJ4ljkFfnKJ1yBXOsST8IqRYKLL37NoHnQVoBFSMJ0PSUNE0QKCLfR0NgJAGxrhOlkuX33qW1tMSeRz7Hyun3SMKQxuw8y2+/TRJ1qdZamKU6w16LMFhkbO5ptLbBYPgOhrGLQjSBPTaDVWjQ671LoTBHFK/T7b5GtXqE8bHPUyjsxnGyriVXuo+YZvXu/lA5OVeZBH5vy81vAP9SKfWdW30hF8mcnI9BFPjEYcDDX/oabrnCez8VPP1nf4PXv/17bCxeRDdtLNvBcgskqSQedkDT0XQd3bKwbQe/2yPyA/qtFjP7D7Jy6gSl5gTG1vxkoVxDpjGhH0B4Te6l0Ag9j55ok45PYjsucRhCcrXaT0pAKjXQDRIpSfo9TNshKhUhGUCgoVLwOy3e/eGfYLpFJvfuZbC2iqEshmdbrF5+lcLDkmAwy+zjeyi4CxjNcXr941imQ0EbY+Rfoj96B6EJ2q2zpKkGxIyP/RKj4Umq1c9hGHnaUc79gVLqHPDoR/lOLpI5OR8DoWnopkmpVufo81+mMT1LZazJk7/+F+isrHDu9VdYPXcK7fIKpm2TBD6abmJYOtXmFJP792M4LvNHjjI+t4u3/vSPGZ9dQApBEoco38Prd3EKBSzbJE2yxssyDEBJVCqpGBs4kUYUFbFcFz8Ks/nLKygJqUQ3S2hCkEQxMh1ilWOioHDd8SRpyGh9jVf+8P9LvyMQT+1npTbDQ6+dgdI6lQOrWAWHXu84hlYhHU4QNiNILVQYgGegjVLKC48xGp2kWNzN6E//lOipFag/cTd/mpycO0oukjkPFKE3QqYpbrmyo9sxLZvpfVm/RstxWXjoEQBqU9MMWi00TcMulrIgma/+GV74t/+UMOgjkJSnJnCKBeYOHWXu4DHioU9teoaNi+cpNyeIRz4qSTFdl6A/JJXJlshlc5LCEBTGh6gYwn6fS5ePfyBd5Lpz0u1eu+dEXRPNdpBhNmeJDjNH51g7dQFvNcYu7GEutEguvo7nVCk7AqltoNISvd67lMoH8BKJHywzNvYFNPEwshPhD99CkVCtfo56/Smcr1dxJvbvzA+Qk3OX2OkC5zk5d5Xu2iqdyysfvuIO0ty1m31PPcfBZz6PaVk4xQKN6Xk0LDQchBKc/tmLBN6AC6/+nB//2/8ZhODo81+iUK4Q+SOcYok9jz2JQpJEEUmabs9JqlQiEw2vUyAKDYRuoBkfrRavJjQqxSZmsQQpLL+1SBJohH2X5b7Hay+/xfByG3+0gdJSNt8p8Nr3/zuinoU/2iAx3kR5fbyzxxmOTpGWIrS9U6TpCE0YtFo/ZnHwrxgM39qJU5yTc9fILcmcB4rJPfvu2Fih56GUxCmWPto+7N7H5O59+MMB54+/hmU7VMbHGbQ3GG62WD75DnOHjuCW6wzWVqhOTzE2O0dtaoazr79CsV7Hsh1Wz54mCgKsYhHHKdDfXMsq+CgNf7MISGTog26i0ivzke+LiL0WI4ZEAAa6bdIPelhhjB5FpJaVdSBJE8rdNqAwmzG9xT4pm1ilFKuUYpo+4WCd8YWn0C0fnw0c5QIm5fJRpIwoFvZg2ePMzf7nFIu5JZnz6Sa3JHNybkLn8jLtlaUPX/Em2G4BgWL13JmsVRaAnjVt9gZD2ovn2VxeBJG5iS23gGk5mI7LqN/F67QxTYtipcL8sUeY3Lef0tgEbrWKXbxmTvGKQGoaZrGA4RRBfKAPCSQm2XOxwPdChlIQRSGptnUbkOlWyecUp6goNRP0YopZHGG4I3S9SLGoYycB3fWTXD7VI1BDwmATTQtJkwG6ZoGQDAcn8LzzH/vc5eTcL+SWZE7OTZjc+8msIE3XqU5OU5+ew3Ic/F6Xc2+8RjzuY1gm3lbj5Nj38Acj/EEft1Ih9Dx002TfU89kjZvlBisn38UpVUmSCKdSxe920BwXGfgILBQRmiFwXRsVJqTSwot8AAxsEiKuWpgKLQ4oAlgfdNM6SUI5tOD8flL/Erod44wHBGsV/N4cvTWD0q4OmtPF70cIUSAotJkb/yqnRwEqqfJo/QhCmNsVdZRSeXWdnE8luUjm3BWUUlweXWa6OP2puVl+kv30Yg/HcKg2J5BpytS+X+Lkz37C9PAg/dYG43PzzB97lPbiIr3NdepTsyyffJf1c2coNZt43S6WWyQMPIxKH391hNfvYVguSIUQGm6hRAiQQIKBTCWR76EpnSS9pvnzFRespl+Xa3nl6DTbRQ99rnwjKBYIpaTq9LGVy+Z7TfTzAU4xJU3eplYpMdx0iXU4/Nhexqefx9BdKpVHaPg/3CpnV8I060D2229sfpdK5RjSmCCWkuqNGlbn5NyH5Fdqzl1hEA94t/Uu4+44lm7d693ZcV5Ze4W58hx7a3u3l80fPcbMwSP4gz6leoNCpQqpzOYgHZfxuXlmDhwhTSJWTp+iOb+L3Y88hj8YsKyf5NKbr5JGMZbbZOHYo1w+cwrdMAiDAZplI2OJ7pbRDRN/cz3bqNBJVABoWLZDtF3QIEVYOkoaWLaFNI0sFzOOKVaqSJUSkGAHHk4B1pMK9kQPw4gR42vYSyaaZjE7+Z9TqDVw3TlMs8rBuV8HYHPz+xSL+3HdeYQQVCrHsK0mr6+8gKfVeX764bv7g+TkfExykcy5K1SsCl/b9bV7vRt3jaemnsJ+XwuoQqVKtLRMsTmJVsjmFOeOPEx/c51wNKIxO0dlvEmhWuOhL36V08f/BMt2EEJjbHYWv9vC8z1UKpnbc5Tdhx/jnRf/lPUL54i38ieDwRDdsnCKZdIkJgIYDQFJmsTbtWB1HFzHJowlmq4Rxx4kCZrlZB1GTJuOpjMxUUYoiU0BrZ0ipgZEXYHTFRRmq4x6r6HsXZTLV0UvWlpCj20is41tT6FpJo49BcDRsQNo+kcLhMrJuZfkgTs5OXeIc71zvNPKOsG5hksYXMbzF69bJ768QtJuX7dMCA2EQNMNCtUaABffeh1dV9Smx9HNbG4vCgIMTUcmCXF/xKmf/BjLLVCfncnED0hDn5WpXYi9ByjqBlWVtdgSlkXRbnD4F36R8sQ0wjaRWtauKwxGlMZLVGfmsEtFGnv2ox+co1w3KI3NYltNKokktktcsPYzWC3ROfIUm9Ysp19/mfiMg1rvbx+PCgLWR4LF49+le+klur3jhFHW39ZxprDMXCRzPj3klmROzh2iZtcoGsXt90pFKHV9Okbxqae2X/c31jFdl/LYOKVGnfPHf0Ztcp7GzBzT+w9juY8z7LTRzA6HPv8LaIZk9fQFDn3+ecadEu31cyS6zt7PfZMXN/453nAIScx00aVZKlJe2E1iaFxeWaE+M0f3zBIrZ19k4OuMz80Te0PC2CGMI0pJgcYTzxDUZyicehNjn0nJcYhPrqCHktHjT+LND9FOv0OhVOahhWco79rN2sXvgqogtvI0o4sXsRYWSINpzOUelfrDBPo6mvhoeZw5OfcLuUjm5NwhGk7juveFwp4PrONHKa6VpWcMu22KqoZbKjMancWqdak0sw4/TqlEEsesnH6PlffeYePS21RLRZxdj+CWKpz+8Q/ZvHSO2DBZPPEWxUaDwBshNY34jZ/Tak4gJ2dIhj7TBw/TvrzM+EO76I5OUZw8iDEakCDQdu/HsF2aUnD+u9/GLVZISyWmq4eYOvIc7d0xcn2NavUdLrCbqr6L+vQYK8YKX+CL7Hr+/44wrt5GwjNnSTZbLMgUf2mZM32PXnmGZ0q59Zjz6SQXyZycu8QoTPjuu2v80kOTFCyDmQOHtz/Lglx2oetXLS5N12hMz9LctZfVsyepT02z8t5J3vjedzAsi71f/EVWL57H6naJgiGWW6DUGKO9tEixUmXQ2cDv9ZHWIprrgJpgrHqMcDRkFAZUVMSu6TF6w5CFvQ/T3riEWykzuXcfh577EuNzC0jLQQFn//B/4IvOFMavPUK3d5pTr66x/B9/m9k//+coPfcc3htvYE5N4Tz8EP0//T4qTUg2Nqi+9y6FqSlir0FSVjil6cy9nJPzKSEXyZycu0TRNvjFIxMUrA/+2QmhoWkGw+FJisUDW+91JnZn0bGVxhi6ZWK5ZTaXLkAvpVyqsyHPMOpsMup2qTTHqU/O4nU7zD/2OTo//CHsO0BlfoxidYyNCytEns+uY4+zevYMxYaiPNGkqY9x5PkvceBLn8frdCg2GhS35kavcPi5v0YYbLCkzvPtKOH5x/ahnv1zuPNZGyytVMZ7622SdovhT36MimPsQ4dJf/ITyo8+wuCsRm/z50z8+l+l0Nz/qUkDysnJRTInZ4eRYYgwTYSmUXZuPjcnZUgYruG6u9HfFxlrWBaX3nkTpRSHn/8yshMS2zH7nngWDIPYHxH7IdXpSeLQ47xcRrdSxhyX/lqf9lKHxi4Ta1SgUKszNjtHMBpSbexhfG43luNiOS6lWp04CLh8+iRT+w4gNI3lIOKssHh6rII4+yaPiAmas8/Sjw0G3/0u5twsq5dXOf8fv81+QyAMA31ukv73voeIIozJCYK330ZGEfKhTQavnqX4C8+jX+OCVUqhfH876jcn534hF8mcnB3G+/nLmFOT2AcO3HI9XS8wNvZFAH70xneoWzWOHXkWyFpzleoNKhNTGIaB0K66LA8//yXOH3+VQWuT6X0HmDt4hJOvvsigPsPY3gMUPI8ekkkDdv3q17Gmpjnx4+8TBiGR52HYFpHvsX7+HDOHjzA6fZru+mWm9h3A6/coC8Eu18ZxZpgp/DJV7wSltQ61114jbHfQKmWi7/8Aa/cCtqEzfOEFWF/HfugocjRi+L3vQZJSfPIJhi+8QO0b30AUCqg0BU2DJCE4cQLv+HGcI0coPPlkbmnm3DfkIpmTs8MUnvgcwrY/fMVraDZnqVrXt/sam1u44bqGaVKsVll69y1kGtOYmcOxi7jzBfY+8hja5TVm5mZwEonZGGM0HPBuJ+VLzz5BrVZFN02SOMK0bQQCORigi8y6666togydYGIOpRSlPcco7TnGxr/9t2z+k/8J58B+RKkIL/6UphCETzyBaDSIV1dJXllHL5XQG3XMXbuhVMJ96CGUUrT+6T9FmBZCSYRlYx85jLV3L3ql+nFPc07OjpCLZE7ODqCUYvHE2zTnd32s3pZHZo59pPWLtQa7jj3G/EOP0N9YpzK+wtyhozT37IP3dUbR0pRqc5JSrU4w6pOEAbWpGcqDEWm3S+Pzn+dKnO7MgUN044TTA5+FUYte++dUxH6MapUwSeDMWaL1jaxgge0QLl+iJzXk0KOqC6zZWdwnn2Tw058i19dQfoBvmqTdLug6mmFgzM5QajYxjx5FDoeEZ8+RdtrXpcvk5NwrcpHM+UwSb/roFQvNukG3jDuEWypjWHenBF91YpLFd97k7R99l4ld+zAti/GF3UBWAUeYFubkRLZfrsvXnstEuNMOuPDG68wEPlXX5UQY44x8pIJDJZfLQ49zZ87x+WYdmSbofUH73/1zRKWKNjeHZlmYuo535gx6PGCQerS1KmNRAFGEHAxY/smfEK1coBq7mOPjJFJR/dIXSTY26fz+76NfuEDa6aDpOub0DOloROnZZ+7KecvJ+TBykfyMEF0eImwds+F+pO+liUSmCtP++GKipGRz8SKN2Xl04/645NJ+iGZqsEMiKYSguSVSn5RLbx+n1BinMTN3y/UWjj3G5TOn8HptymNNRt02lfEJ5MgDO8G4QSeOyvgEbqmESiXOoUM4o4BEKfpJVgjdOXmC0ekLvPmDFRaKLkazidJNgrfeojozg95oUPn6L3GyVKb08s+x9RL27AyF1jrG3Bzvze1i7NTblPoBILAfe4zg+HH8kyeJl1dwDhyg8s1v0PvD7xCePo1RKFD62teQnk86GJB2Oui1Gnrlo1vjOfc3cZCwfLJzr3fjQ7k/7lg5O44wdTTjo+entZaHREHC3KHGh698E6RM8fo9qpNT941IOntr93oXbpuxuV3YheKHrlcZb+JWCmxs/gn12vNcPP4udqGIc+ggK6ffQzt3hql91wcP6YbB4S98afv9gaKz/Vr6PhdX1jj4xeeJv/0tWv/sn6FPTzPabOGgSDyfQprSf/FnrDsFutNzTLXbTLU7MBiQLCxgH3+ddDRgyWqwa9Rn47//H6BQAF2H4RCqVYY//jHFzz+HUa2A46LSBP/UKbSCi4oihGnmIvkAYhWq7Hr0l3dg5L91R0e7P+5YOTuOOf7RLMgrNOfLSHWTTve3iW6Y7Dr22Cca47NMsVa/7XVNq8j4+POY5hiHnn1+Owq2MT1HvLzM8MWfUXz6KYSeWdCpUrzaG/FQyaVoXG9Va67LawePMhOlPLS4yIbn8UalwcNnzoIA1esyMCx6Z89S6fcJpWAY+tSGAwDUm2/ijE/QMy3M4Yh0NEICehAgZYoRxdDpoOp14sEQY2aG5Ow5ur/772j+V38jsyIbYwj34127OTl3glwkc26J0AQ6VxvnQtbLMFrLWi5Zkx9u4byfvAHvzmJZ49mLa86xUyoRLS2hpMpaL8cxPx+FTFgGhhA3/T1+6fxJRj/8EefPn2dQH2PuzGmKcit1A0W0skRZ0wl9n0oYIKQiIbuxiDimsbpCUSoSFJKsh+VmqYzle5SjGAmYvk/4s58R2hb0B2iHDuI8/DC93/1dkk4Ha3qG2q/9KubMzE6etpycG5KLZM5t43nnCIIVxsZ+Ad35eJeODBKCUx3cIw2EuXNBMx8H6cWoWKJXP1q6xvu5Xx8Cyr/4iwghCE6dItnYYOaJpzAHXaYLBRz9g6743vd/QPiP/zGYCeXFC2i+Rk3XMHbvxnr0Efz/+C2cXg+EYGha9IplJrwhKpHZAEqBrpNWHEKpYfezTiGFXg8jjtABvdGAdhukBNvOgn2Wlul96/eJVlYwpqYp/uJXcmsy556RF1HMuSVpP0LFWRCH68xRDm2QKXrV/lhiImwda6ECH2N+dKdJhjFJL/zgB34HRq3bGqMdtPnepe8R+9FVsbjd7Xc6jF782Qc6h9wOsYyJ0/gDy8+MAs57AcC2cNt79uA+8gjzjoXstvG6XcJwk/M/+ucEg8xV+kJnQOfsWeIwQq20cNo+Y96IwViTb+0+yMb3fwium4lbmlIJfOrDPmlznKR0jXchSSh0hzT6fQwgJQvk2o75rVbBsjKrdzTK5ivTlN4f/AFapUK8skJ06jRpp/uRz0lOzp3g/rtT5dw1uusem4uDW64Tr49IuplwaFJhDXsQe7c1/qC9yfk3Xr3aFJjsRm3U7PvS0rImCtgLNwgQ6S5B5/xNv3e6c5pu0AWydllNt8nZsyeIVkcfafua62KMjwHgeeeJwu5tf/fd1ru8vfn2B5ZbmsB437kWpoleLgMwc+Awjdk5SFKC5YuM3nqDcLOFf+kcqWXTHY2Q3T40sv1KN9aJg4DQMEnjmJePPUa7XCERgtgwoNXG8AMGhskHJRt0IDUNoitehAvnIYogjjPB9TyoVkkXF4nOX0AUCoxefplkff22z0VOzp0kd7d+hjFtHU2/sVgppUhbAfbeGkLbWsd04OAv3fb4brlKeazC5uU3KI81MW3nw790PzJ968T+KI1IVAKAJjQmChP4Mz5W7aO1h9IcZ7t03WjxBNrliMYv/BqkKeJD8i2PNo6yNdt4HQtuZu0PBu9imjUc58bzenZxkrFnHyP49z8gcAq8mOiYnS5LUzPMaBrlfgcHsKXkqz9/gVKYpYoku/bi93o0Bn3iJEFIiQkkpCjAB87OzHP08hJSKXTDoBYEVzd8ZZflltWt67C2BoUCxtgY4XvvUXzsMQrPPH37JzIn5w6Si+RnmELZus4l2G/5AJQbDqSKaN3DKZoI9+NdJoZpUpuaxigNcEofPcDn08JD4w9d9366NP2Jxxzf93XS8R7BifeQvndd9Rkv9rB1G13TWffWqdpVbP3Wrm9NdxEf0vh4fNfXUL/5ZRb/zb/lyNlLjG2sUnvzOOb0FMKygQHSMlmZXeDwhbMYnsdzP/hjVJI9IGw0mtQGPYwwwCXTPwFobgEFdByTKoLQFFjo2H5y/Q7EMczMQK+HKJWQvk/5ueeo/vqvkayuYkxN3ZceiJwHm1wkP8MEpzpIKel4McWGC65BHEnWzveY31XBnHAZvHIZ98gY1ngBGSTIICEZRtiz5du6YRlGiVrtc3fhaB4shGFgjI2hl8tZIfBreH39dSYLk+yv7+dc9xzTpWl2VXbdcrziDRpAvx9Ns+l7A0SxyB5LZxGBPTGBQ4AhY8qA6wdMXrpA5HnguFjDIT5gArs3164OpguSVGECR8+eBKARxGjAuWmojRKmfDLLMU0zNdV1iCPsxx7Dnp/He/ddqFRo/4d/z1i5SuMv/HmMxsfP183J+TjkIvkZRClF3AlI/JCV194Dx8VpTuJOFjEdjeiNFTpvLmFP1kn9iKTlISwDTI1kbYjfHzL5jSMkxZTW+iXmjz7CpZbP3HgBXRNZ4Emitku+JS0fve5su23jMCAOQwp3oJj16tnTWI6bzas9gAjL4v2PIk9MPoGlZ+7XZ2ee/VjjJnGMbhjXPegopVj6l/+KpU6PSuAxu3gRmSR0ChIj1ulWqxR7PepRSCwEoaFjkQnkB4IbUpXNP5LNQ7L1fwocugzSgLgmMEMLTAPCKItu3WwRVlaJT53CPHAALYoQwyHuF54nunABYdvoxQfXK5Fz/5GL5GeEpBsSr41IvQgZK/ovLGLtrlDsuoiFItHJNsnlPqHQCdZGFI0Y2ahg1Byi5SGkEaJs0HtvmQ0uo/2eRuyFvLv/AoVwjMurHgN3xJ6JeYRUpJ2QwqMT6FWbaM3DEoACY8ylu7ZKMOxTOPrIJz6uYq2Obt7ajfig4RiffG73wvFXGV/YTW1yanuZEILdX/0K6lvfZnhxLbPq0oiplRAcm7OFAmavhwmYuo45HAKZSF4zSBahOhrRsxzMNKV0JepW19BF9gClWzb6nl3Q6kA/RkxMoCwL4gjCEKkU7rGHcXbvQXvrLaTnE7x3AmGauMc+WvH3nJxPQi6SDyDRyhAZpVjTRbqnOtiuQe9HlzAdkziMkJeGECoir4U+USRtBURBQGlhCv18h2LJgdQhWhni7K0hU0nqRbCZ4CZF5tQexGaEjmL+RI1gbYXZL9d5ffE9dpvzuLsbRMtDhPQRukPh6BjJ2ibJIMUYc2ku7P5YaQ43ojw2fkfGuR9QStEKWoy7O39Mc0cfhuUVolRibSXpqygiunABQ9OoXDhPZ+RT8oaYug6DmPmkk1mFWz0g2armk0jJZrFMYzRAVwp9lEX1lpIIISXSUqSuwhwZWYDOwjy665KeWoK5AgQmeqOBZppEUUTp8ccZvfQSwdtvY83Nofp9ko0NSl/8Is6RIzt+bnJyriUXyQcMGaX4J9skg5CkV+Xyj5co6aAPI8JRHyQQAQ4gJTJJIU4RVUF0pgP9MJubdDuoSCBOK9JhCF7KlZh+KWISs4PlTlG1bLzoBMXvHeILB54iXhrRfq+D511C7/6Isa/973EPTWMEp9EMk6RVwRhzP3Q+M01D/OASpeKtGxU/SAziAS+vvsxXF7667U79OPhvvIG1axd6rXbTdZxiidAwtqvy+CdPEpw7x+CP/ojR9CzuY49T//GPMzFMEmIhsuR/w7gaiSqvBn29cfAoRy+cYSz2KQyzFCHTNGFiglQPkKUITgxhdhaCgHRzMxv75AZoGkmaYs7NY9g25W9+A2t+jnTkUfniFyk9/jhaqYS4RWWgnJydIhfJBwAlFd67LfxTbYJxGzWMcJVi9PYGNRSq7UOsIGvEAAWRiSWglr3MDTpVQLU9MkUViA6IaZt06/Prkt6EIo1NUpWgxxZmXIZ0hWCUZjH/gKo5RN6zdH6yDpqDOfEo8YaPWvdIhxHmTAmhaYibpKCk6YgoXEcV9m/fGINgBV0vYZr3vtj1O5vvULbKLFRu3Aj541CxKnx919fRtU9YiUg3tq28W2Hv3QuAlAmj11/HO/Eeo/MXaCCQUUQYR+A4eGnK0LKJHJfZXovUSdF80FT2uxjAsUvnqMsU0/PA0iABhEAkCe7eowSXl1lraIyZJkaagmFAuFW4oVQCxyXe2MA9cgS5sYG9/wDK90hWVjDn50FKosVFhONs53jm5NwNcpH8FCPDhHB1RHimSzIMCS/2IHAQGyFR2UR2fAhS8FV204LsFy9bYOqwJYAJQMvDSIE4hVhC4KKdv3p5xESEckhJa2AolyCK8ZMhTmKjRBW0QWahAlhgjIDKODKICZb6yLiISBTOoTrJpk+0OECYOvb8jW94ltWg0fjCdcuCYBXLGrsvRLLhND6RtXczPrFAAu7DD33oOsnmJoMXXsAYG6e3+hLp5Q7Biz+H9XX8dhv6fUgSQiGIDYviaMiYN2S5UqVojnBFgnNNrYSZ1gYYBkPLxdI0LEeHwQC1uUm0uopyBKVd8+hdD64UBjAMIiExZYrY2ABdJ15aovvtb0OpjOp0cA4eJF5dpfDoI5jjTazduz/x+cnJ+SjkIvkpJln3Gf7sMnHLw9lfBx1MBLGmkOs+ahAjtu65ChAamUXYCsHWsnBDR4OhJI23LgYP0BQGRhayOGGzuDpCyIRxbStEQ4eSVSEBUiJ0ZUDazD7TgJpJ3IkxRxFEgt67S9StBYySDaaGNVsmWhnxgbBNwB9GOAXzagGDa7ifUkk+LBdSyhQhtHvuHly/eI40Tpjef/C65SqOQdNQYUB133OEyXmSxmkiIWB5OXOFArZSGHGIvtU1pDoYsFmrkxLh8L5qTYbBqV17qXsj9rQ3QM8K4qNp6PUKxX4fhvFVN20UITWQw1E21+m6JO02yeXLUCphVquE753AOnCQ4heep/DwQ9tdTXJy7ha5SN7ntIYh7VHEgckySimkl6AXTZJehH++h/QjZD8kvNhBxYr2e5cQUuAkJTygogAJKSm63OrnkQCJBBfwJQZkVuQVFNmVYWnQCWkYOlpioV3x0VoQ+gE6Njbvs6amXfBThvoIJ7awA51NbwUCSWXvJOa4izlVRLg3vtmtnOnSnC9TGft0F7RefPtNivUG4/O3zl/caSpjE0iZfmC5XqtR/cVfJB0O8Y8fZ/TiS0SpB8dqsLq6LZKwlcJRKsFWZKsb+NS8bN4xBXzdwCkWMPp9Hj/5DimQaIAJRnylcLkOYXDduACOuJIYQibaGxt4uqAgoP6bv0m8tIRWraKGg1wgc+4JuUje5yRSEcQJMkxQsSQ426XwcJPe66t4rSALv+8lpImCmkHZLSPGi6gNn0ogs7lHBQY6sZKYaFmRaTKtdEyye9TW/SdRIUyFOI0FkqUhhJKiEqSmRMVbZqkPmtIIkxGGWcrEVgAhIFMQkvpsE85tAA5TY/vQDA1jskBwqY+wdMxm4YbHu+fYONoNOlLcDitdH1PXaJY/WRePO8Hk3gOYzr3fD6f0wdJ4SimCk6fw33qTeHUNSiWUlKjlFZLlEebWVKEkcyzYuo4ZZ5PSBlCIri8Cn+o6xtgYVCqINMFobZBEKUYIVMvZ3ONgcF2gzxUSmaJDJoBJgtR1vHoZZ7NL/4//GGtiAn1iguLTeVm6nHtDLpL3OZMVh3Fdxz/RpnBsHPfoGNFin9Gax3BxQMUPoaRl0acGuMemUUFC4EtQEWKqgPIT4iUfRQLCIlEQkeL6GiBABz8FVwNdGSSbksQbglSZGRGBLq+xGIugKwvT07IkOUHmy7UkjCJG/RDhRURJD7cisJWDSgQYGs7uGsYtGkB/XIEEaI8iCpZ+X4jkjcTpfsE/fpxocQmtWsP70++jfB9pmggvxYx1+raJKVPcOM5+3jTNCo+T/dSmk6KFJiQJQlOUCOD8+axijqFDlDKwbIRS1CwrCyLqdD6wHwoQKhNjXUqQEj1NaXYHYFnIahWtWqX4uccRRn6ryrk35Ffep4C0H2IvlImWhuhjDmmYUG46mP0AUTYxZosEJ7uQBMRdn2TVy0L7KzZqw4d+kjXBrbkwSCEFE/3qjy/InKYKBDpm7EI/YduTagGWgJHK7myjzPC0XIM4DjEjO7MSdEAJ2vESblRDCoEjBbRiVEWRdkPi9RHWxI2tyE/Kw7OfvILPg0546hTCcXCOHqHzO7+LZlmkYUBy8mRWHi5N6dUamGmK221z3eNGsYhuW1jJEG3LspR1k9QO0Jd1UIpERKiSRmkYIoWAjQ0wzesq72DbWcGAa5ddWa4UFApU/ou/jOYHyEEfe+7BrKaU8+kgF8lPAd67mxh1l/Bsj7jlgQZKFxT21/HOdeidWUE4AmMYkAzNzAL0EzwdCpbBQANHgjlKYa6AWPSyx3cTKGqgNPRecrUjQ4EsXeTK+whIFNc1mRCQhgkr/TNM1/ZjSTtzuzoaM+FuUiXwdQ87dbfa1CuUlGjF27/k2u2f4jizFAr3dl7vXjN65RWMRmM7ZeOTkHg+Rr2OvWuB6je/QdLrMXj5ZYKLb6OVKqA5zK+tZ4J5LboOuydhpY0uCkAPAEOWMS4ngAIpMaSxFeUsQSm8qSkSCZX11atjbY29fTkJAXv2YE5NQRwhRx7D734Xo15n6m/8jVvme+bkfByEEDrwCrCslPrVW62bz4TfxySdgOB8F6ELwp7P2RIkBZ2kHyI0QXBpmLWzinSG9TJpUoRWDF4meIUh0E0oJ1ulwwSw5rEkEwakUDagK6G3FUxxRb9iwCa7i0ky0SxomQheQYEuDWYLB7HUlr0xAoYpuq5joVFNS6AUm/1lglYfpMKeuv0ct0JhN7Y99eEr3mESeWeqAd0prIUFzMnJ65ZJdf38XprE2z07Afx33yW+fHn7fby2hn/iBAQ+Yuu7KpVES0v4P/4J2hBojyBOoFgklZLYEqSmmQnk1CT0e9mcc5JkVp/jEI36dKpm1oC5WADbhWI5a6YMeH7AKI2yxspXygcmCRjG9uWm7d2L5tiobgfNslH9PvLyKrLTZfDjHzN89bU7e0JzcuBvAyduZ8XckrxPSVo+4dIQlUqSbkTc9imWdOiG0ItIghSSNLP4ioLSuREMFREKhcCu6NkN7Uq/onTr/4JJUUBjogQqhW6S+bxiSJIA9BQjLmZCqQNFHfopuFs35axZYPaZAMOwIFXZ+AUghCgFzQLDEogQbNPFqhQpPDyBdoO2W92gy1ubb/H5mc9flyd4s96HO8Wlt9/AbE7yM2y+MV6l8AnmR+8k5sTEB5a9uPIiM6UZ9lSz7h4bFy8QhwHzR7O6pprrIrZEKVpbw3v1VdxDh3CefhoVBEQXL9L/3veya6Rcyn7DJICtXo/Shb7rovsJNauEUW+QDIfgLWdilyQwNoYXjNCHI3DKUC5n7tUtVyyWxfigd+OHjiTJxjFN5NJSNgdpmphz81CpoJdK2Hv3YC0skHbaO3BWcz6rCCHmgF8B/h7w33zY+rlI3qcoDVI/pnViE7k0wFaSqmtmeWYxWdL/FTyFtfWQPhSCkQGTVTMrJHBtpZwQSGMmKya6q5Ou+WCLzD0LKPTrcxeLOuZUmTjqst0PqaxDe2vbtoaxq0Jyopu9jwAJbaNLWSsQjxTC0Jn82sOUjk1izZRQSqFQaOKqAJWsEnPlueuW3Qsq4xMUajV+QRh3RCDf2XyH+co8FevOFz84MnaEsnnVKp/Ysxd1TfSovedqa6x4aYl0YwN54AAbv/VbWbm3r/8Sjd/4Syz+nb9DvLiUFSU3TRgOoVhES/qUbTATB0ZDkrffzqzDOM6sRs/LuneoIhVvK3p1MLi+0k8UZRajfF/fSNOESnZOrEOHiM+cyXpS+j5K1yg+9ijWxCT1v/gXMBqNLKczJ+fO8T8C/wfgttxauUjeR8Qtj+Fr6wipUKlkdGITD4kmwJZkrtRrIykMMktRY9txbhlgxgqWA3AFRFtP8VcMNAv0qkXaCTPrQalM3AyQiYFKzKtdHfopcSXMxja2tjFIs0AeDRhKktNdtHkXGSvoBhDCSOtjJFClhmGDPVnCmsmiPc/1zrHurfPczHNXD0Mzti2ia+ltekR+QnP+7lTYqU1lBQLuVHlxqeQdK+T+fhrO9X0VNU2HG1TriVdWkKNRVt3mzBni9XWipWXs3bsQx46hHDcrEddpQ9XM5gd9H4gRnQgRXCN6vd7WoFuidXmVWrGYuVKVyuYar03zECIb+0pupBDZerYNjQZaHJN6I/RGHXPPHvzXj2NVa4z/lb9CvLyM2cwKVAj9k1chyvlMMS6EeOWa97+tlPptACHErwLrSqlXhRBfvp3BdkwkhRD/N+B/B2xsLfo/KaX+YKe29yAg/YTgUp90bYDz+BR63aG6NARTwHBrpRBomDCIr1qJKdmcoZJYMYCAgoY2XkDqPoQpGAJShSg62c3Ki2Aks0LnAAkYCHST66zPcKkLKGzNgT1l6AXgSRAyC+YpGEglsnnQrXigfenVeqb2oxO4jzS338+X5xlzxm7rfBimfn2w0KeMY83baOnkd8Cu3FDg7gR6o4G9Zw+abZP6PtVf/hXW/+E/ZPNf/WvEP/1nJGtriHIZlRQhHEJiQBKiI9BtB0pb1uUWMaD5PgpINYmoBlhrXA3GMXTiZoTR1tBCtt23XKm36o2gVEJ4HhKwhIa5dy9yOGLu7/093KNHUEGAXr73pQdzPrVsKqWevMlnXwB+XQjxy2R3v4oQ4p8rpf63Nxtspy3J/7dS6r/f4W08MCR+QtoPIZIkHQ/NMUkjmc0XAoZFZvW1r6rYdklWJaFqQyfM3KKOAUmKMVchiSJoh2g1FzkISS8NM0uwoEEkMxerAr1pZu97Wc4lOmipjZaQWY+XBpkKSjJhrhkQJbCeZHOjbBm0D1Xg3AAcQfXxGTRNox20qdt1LN267Zqnxeq9z3e84/hdWHsHFp7LXJOXXoLxAzC2744Mr5S6rhSe5jhY8/MYExOE5y+QdjuYzXEwzSyB37ZQQUgahjAKsiAdITJrMQy3i5AnbKXDbo1rAFoCciUGdY2PPkkQI4G41sPqOOgHD5BevARSopwY9fQMjdoTGPUGMkkgCjGnJjHqdQDM6VuX/cvJ+Tgopf4u8HcBtizJv3MrgYTc3XpPSUcxaSfAmiuT9kN637sA6wGYkJwfgqllLtOBYtWGqaKB0b5+fkew5UktmwzrLiKMKW4Jn0wUahTCWmbiqQbQj7YUF0hlJrpXPGqDa0zIrZI85pWpz4htMd2+U46Sq1bnFQEHuNhH1F3G/7MjWGNFvNGQly++xPMHvkjR/Ix3ldctsErbLarY/1XQ7syf4bneOdZGa9e5sq+g2TbW9BRh4FP983+e3u/8LmmaYs3MgmHgvfEG1Kow8tDn50nPnLnu+9vX2bVjApokKyAAkKYIBWZfZMfnOpAkmPv2QZygzc7i7NqFd/EU+sAipUf161/HffjhO3L8OTk7wU6L5N8UQvxl/v/t3XmQXdl92Pfvudu79+1L7zt2zGAGg1kI0iSHpEiapGiJFCnJolRxZEsVxrHsJJWoKlHpj7gcK5Vyyo6rrEgpKpGs2LJlLaYkizQpkdJoSIoznBnMBswM9q3Re/frfuvdT/54DQxmiAZmCHQ3gP59UF14y13Ovd2vf3223+nNR/kftdbfn3ZjJ0tTwvk25oBH52wdlbF6tUATzIpDcnWJK2CsaKO02cuaczWVXApmprc9viZ/pdlrCo0BK4Zuik7o9WOWbPSK/+b8yJg3q6FX+UDJ6B3Yf9t7b88odjXTjkdvUM/VAOkBloWRsXCqvaQBVgOedI+S3YYAmbR7UdzM2bfYcos4WRh55M3n5o3L1WqfIeP0Ydvld3zo0fwoJWfjhApmqYRZLBJOT+OMjxG1WoSvv0H2yBGMR48QXLpE9PIrbw2QxSI0Gm8JkCmaFPXmL4807Q3mMYxecEwScDO9AWFaY09Nogyzd96pKTIHD+KMjxOeP4d5F2cmEvc3rfVTwFO32u62gqRS6hvAjSay/TLw68D/Sq/u8b8C/xz4uRsc44vAFwEmJu7c2nx3s7QTEc21sccKmHmHld8/iTIUyap/be3GZLnTm3cI4IHKO+jpNmQgHrXRl1vYZCBn9bLjdGIoGlB0IGOiHAN9YT01jgZjKEd6ud0Lrnmjl+BcAzkHZRjoVb83pWOiRHylCa6G1auJp/n+IBnxZtKB65kmmckK9kj2WrOfM5zHYXt+GSarvQLeNUHyHUriNqn17vrlMmaG9MI5kjFnwzUXM7t3X0tK0D5xgpXf/C3yf/Pj2H39zP+f/4Ikikm7XZiZ6Y1m9d/6DU4ch3gsIWlZsBigXQd7fKq3cghAuYxhWRilEmYuR7K62svq02hAFGENDlL88Iew+u7U8CghNtdtBUmt9cffyXZKqd8A/nSDY3wJ+BLAE088cQ8P03jnlG2gXAv/whr2gIc9kKX17AxcXR7K4M0ACZCA7qwP1HGhefIyGAYVb4Beu+r6dq0U+hSGo9BhCjULWjHEkE43oZX0tnVtDMskrXcgZ6Mbfm/prCglXulCkPbWlLxa3skc+mL7+wNlZ/3/q02tGTCHcvT97QMbLqa81ZzRe3OB3lLpkVtvdAM6CHvTKd6BdKVO7vHH8A4eJNYafvRHKD5/DCOfp/H1r6M8j+jyZahWieIIkoR2MU/BsHEnB9HdU2A7mEqRRFFvJGu3i6pWcUZGSLtdyp/6FNZAP0mrhbt7N/n3vY+k1SZpNmXxZHFP2MzRrcNa66spPz4HHN+sc91rlG1i1lxaxxfpvLxAVPd7Qenq4grZ66ZuQG8uYz3sNZv6ULGHoGCAn/b6LfO9NSFxgYWA1AZzX4l0hfWk5vQSoGt6TbPLAWnOAteEK21wFarkYVgKMiaJH/dqmuv0dBtyClr6zaZajzcD+XpTa+bxQSofnbprAuR2WgvWWOousad8ZwbkvFPZI+88uGbGx8gefpgoSQj9DqlOKX3qU3SOvYCRzWK4LoWf/Vm6L74ISwt4o2OwPEfcXMW6Modz6CFoNmmWizi1CuqNUxDHOAMDWJUyaZqS+l2U1ngHD+LuPwBAeO4spCnekSObdBeEuHM2s0/ynymljtD71XwB+K838Vz3lM4bKzS/ewVrqoA/1wQ/etsCxLoXlEK9niLOAhVDcz1w2hDHGm2CHaW9Eak1Gxrro2hSSC41oZvCqIdpWiT1Lhi6FyxTejXMq3GwrVEVSFb83jy2aH2Jrep64oAIyJqg42tL/72lpguoUZfKx6awcu9s5OrdqNO5iOuOYBi33zQbJiGduHPrDbeRMzUFwJXXXsXN5pj66MdpPfssynWp/b2/Szw3RzI/jzM2RmZ0hGD6CtnhEV5/sMLeFxfwHnyAzMgI0bFjlH/ohzDrdeLZOeyhIZyJcZQyKHzkw6TtNkbuzf5o9+F3MDVGiLvEpgVJrfXf2axj38uSRkA40yBthYTn1nqjWd+eUKQDWOtrCHn0gmDnugTjFljrA3poR70aqBmBZ0EQkyQBadjBTiow0yW5OoXDtXrb1ONerdMzoN7rm0wvd94cwni1pti4LqvP1Sa8t6/fW7XAtSkeHbmnA6TWKZ3OeUwrR8Z5F/1lrQWwPci8temwP9tPf7Z/g53uLuMHD10bbevu2YPOemgNuclJovPnMUpl7IF+2s88Q+uFYxx58KOkc99Gt9oE5y9QrFTI1WrobBZnaBgdheSPHiVeXgZ4S4AE3jJFRYi7nUwB2XIKZRmklkJfaPQC5NWRoleDk8+bE9OqXm8uoqaXq7Xswor/Zv7UgGtrPuLHYIGOY2K3jV0Z7iUSaES94OYpCHTvu57y1iZdk17gtBSsrTerZu3enEyX3gjWq64mHHB6/+cf7yf/nlvPa6vPtSnWPEz75infUp1ueYo6pQz6+j7y7ndcPgteGQYeuPW2fgMaMzBw8N2fZxNEScR8Z55Rb4jWd75D9pFHsPr6WH7+WZIoZvTAAxQ/+UkA0k4H7/Bh7KkpnJER4om91P/jlyl/4hNopbBKRYKLF3H37buWEs/J7fDpPuK+IEFyq2lN1I7QV9pvTsFwFHT1epOr0Zt8dnUBvjSFIMGaKBJfaMK8T+Q0SbMhmc565pr1EbEA5MDKFnFHRkmaIbodQp8DS2GvtuDHqPEceqnbq1mGIfS5qBT0/HXrYzUAN+41s1bsXpICU4FpkHtimGimhdnnkj88iF3zUMbNawdaa1r1gEzWJmtvXOPsRB2enn6aD419iKy9OetO3lGT3z8ncUNRF/y1zSvLTSRraxj5PGnXJ7xwAffQgyz7y1xsXGQ0P4ozMYGfMVhqXGTyk58GrXvJBtbpNCUNQ/Lvex/KMHDSFGdw8C2T/t0DB7bj0oTYVBIkt9jVVKuYvWlkhkcvQGboBUadvhnw+p3ePMm0lyOVrAUBGKEBFadXG4zp5dzUXEsGYO4q49Q8OscXerXBJO2ddDkEV6HXwt5An1bY22/ZR1+dP3l1maz1NHZ0E1TWwtlTJelE6DDFGchReO8Iuhtj97+zQKaUYvyB6i238yyPxwYfw7O8W257z4k6vXmS3Tp4lS09defYiyg3g1mpEAddnp7+Kx4dfIwPjH4A6CVEX23Ps9hZZLI4+Wayg3VmPk/usceuPVeGIVlxxI4gQXKLpd0Yd6JEYqQE35p7MydrQq/J1KFXg8wrWOwFNQwbVARlB5IE089hLtMLZq6BXXXJHKjRPjaPjlOMNCVeC2A17E0rca3eMRPANnu106vPATVZQF9dEaQVQc7p/ZJMNUbFJLO7gpmzyB+sQpRiZSzMrI3K3/k+SKUUA9nvXxrqToujiPMvPsf4ocO4uS2aw9mt95pbm7PgFN5dLfQ25T/4AYLLl1G2Tf7AASYbF8lZb20OHcwNMpgb3OAIQuxMEiS3mDOUI7jY6OVHvTpIBt7MWJPSy6m6tj70tKXBi3rbrgSQKqhmoO6vN8lqoiUfVetgeDZ2v4fTl0XlbcKLa9i1PGkSkkxHULAxKhnSmXbveGNZaCcQaswBFyvroCONNZTFyjl4D/dhFTKgQEcphnP/rMZgWhYDU3vIeLffpNuJOqwGq4zkb7H+ZexD0IThD4Ll3nzbO0zZNu56EgGAqdLUlp5fiHuVBMltkD3ST/vFuTfnRV4vAcKUBoAF1QervVrhfLvXP9iKe0tSGUDOxuj3sBwTw1CYFZe4GdKcbaKbIUbJJW530d0Eah522cUqOKRll7juY5gm1u4CGApnJI/KWuQO1MBU3zcCUd1HARJ6NdbSwJ2pNS37yyx0Fm4eJOOwN3An7sL8G1Doh/ybo18XOgsYyqDPk0w0QtxNJEhuA8MwSN6+zmCGXtAMgPXWUSfWxKdWMEYKpAYwF8KuAm6/R7Dmo9dCvME80WqA/8YKqdLM+THVgourDOycQ7jqg2WSPVCl9LFJoktNkkZI9nA/cd3v9SsO5QCFDhOUtb0LH9+LxgvjjBfG33yhMQP5obcuQJwEYGWg7yAUhnpNrqe/Cfs+BkDdr2Mq86ZBMrx4kXhxiewTj197LTh3Dh3FuAf23/HrEkJIkNwWOk5RqLcslRg4ijBIKaDAg5zr9AbWJJAu9NLHoRLsnEWyGqAXO7AW02YZu5YFy8TIKIr9OQbeM0Qy3cYZzuG0I9JlH29/DdM0MXeVr53Trr51cIzy5Mfhtpz/FlSm4NxTMHAIhh5aX9+M3jzK2O8tlTX0ENQvQGfp2q4Hqt8/MlQnCdr3r80ztPr6UM5b+4GNXB6dvLM0dEKId09+K24D5RiYAx7pxfVROzWbtmdyxfR5uA00gTgk80AfcSfC9CzSVow5YfcSoesYe1+FeLqNkbfIHR4gnu9gj+UZrHmYFRc9XsLIO+ggwZDgtzVWzvdGrY6/Fy4/CzqCsaNw5VhvzUi3AqUCzL4KTg72fvSmhwvPnSOamyP/5JNAb1L+2yfm24ObP8hJiM2Qtju0v/fcdhfjluS353bQkH94gNUrLbwj/ahGzFliklUHq6OJuxGW5+Dtr2KWXOKlNnE9wCxk0Gg8z8IZLWBVXJRloFNNWGpgVjJYpfUBIet9iFI73BpL3SWUnaFmZ6G2u1ejTBOiJEI1LrO2eoHswU/jzb9Ow/GYdXPcalZhc7RC1O+R0ylapxh3aN1JIe4GnhXx0MDidhfjluRTtw2SVoihFEM//whaa3Q74pEwQaNRZ1Yx8w7ZB/vwT9UhiFGmSf7xIUzPQmswMuZb+g6VochMbbyOoLh94fQ0ynZuWHM7XT9NsDZNsTlNrT3VC5KLJ2H2ZV5WAbGZwWzOEp39Ou1MjjAJGXfG0VrTCBuUMjf+3jXCBkESkGu+Thw3qVbft8lXKYR4OwmS28Aqu1jl66YA5B3K6w/1UJ7umVXSToT3QLWXhUep+2r6xb0obXdQ7tsT1/Y0wyaT5V3UVIbp1jSF4CC2v8IFN0teZfnmy7/FwU6Lc5fLnC8P8J7xH+LwnsMcmz/G9+a+x8/t/XGCxhUWvSK7y29O0xjIDjDTniGX24XWCX7skzEz7zj3aft731tPNr4z1mkVYjNIkLzLKNskM1pAuaYExrtAJ+qwVL/C+N49KPOt34+FzgIZM8Njg4/B/Gu86i/x8spr7G5e5indYV95H9+98h0WVYyXtBleWuT5tMlpv8k/q7/OUtymlunn1bnnacy9yjfSNT4x9QkurF7gUO0Q8/48jaDBntIeLNPl6Ut/wURxgsniJPZ1K5VorTm3do6p4hSm8WYZnbExzHL5htd1qn6KodwQRefdLewsxE4jQfIuZBbv3dU07jerwSqXXvo2A1Maf2KAYwvH2Fvey0Rxgrn2HHk732su9SpM+DUqQ3+DNcti4ewfcXhlnskrf027bzdfd1ZYcQzycZcLayfZN/cciZljtv8A3537LnESYxomD9ce5g9O/QFfs7/GWHGMv/fg38NPfOIopht2mW/PE8QBh/oO8fLCywxkB6h5NWbbswxmB8k7b2YPskc2nrfZjbtEyduXnxFCvJ0ESSFuYiQ/wuCTX8DIZIjjDgvtBRzDYaI4wcN9D7PUXSJJE8ziMN8+9R/ZnR3iIg4j2UHO6WVezxboGCZmdpDFznkiHWCGISeUyaABYWuOy0mLiIiSXeKvLv4lraBJOVPm7OpZ/tE3/xGH+g/x+f2f54WFF/hvHvlvqKznfa26VVpRi+XuMh8c/eC7uq5H+t/54sxC7GQSJMWWWlvs0F4LGdlb3u6i3NRyt7cWYn4t5MS3/ojW+w7RjbqcXT3LA30PcOHsi6SFLL958t8wUZggJeWV5RNk5l+g212i361x1nbwlcml1QtkCBgMYvrSgBmviGHWKJZGWFs5i4mJq0PcsI06fZ4DpSpnWrNkM1n2Vvdimza/+sKv8uT4k+SdPPGZc3RnZhj/yEdY9VdZC7ZnZREhdgIJkmJLeQUHw7x7s/p0og7TrWn+5fP/klFvlCl7gsquMi9e/hatqIVne1xqXGL120/DYD9W3uL06mm6UZfjS8epduss2za5uEt/YYiz0QpNQuwUbMcl0ZCNAubTgGdWlnGAGJNSqsiaNidLXUq5LPPteapJFdd0udS4RDtu8xcX/4LHhx7ncb9I2u0t8Fl2y5Td8rbeMyHuZxIkxZZyXAvHvXt/7Kab0/ziU79IlEYQw6yepVqsYimLK60r7C3v5enLTxOOhLTjU+SDPC8vvMxYYYyD1YNMN6fJpCGrYZOVpTXC9aVWIgMMDOZVSDVJMZIUrUz6opgrZsKcaWISUHGy9OUHWPSX6cZdLtUvodHsLUwSmppff+nX+ZkHf4a/9cN/a5vvlBA7w93720qILXS5cZmsnaUdtelEHUpOiRcWX8BQBsVWkayVxTEdZmaOsdy5TDc7zJ7qHubb8/iRz7K/zP7yfhJiRpMiZ7VPqEIMbZCsB8qAkEwKXdug21tVlDnTAGWAhkQlrIQrnFg6QZRG2JZNJ+6gSPGbqzyw6ygj+RGO9B/ZxjslxM4iQVLcFWZaMyx2F7dlQEmURDTCBoudRX7jld+gHbRZ9VeJiEh1StgNcXDoL/Qz35mhHXdJO7OEOqQVtCi6RYa8IcKoywEjx6vxHF0CHMMhSRKs9YBoYjNkmFyhc+3ciWliRhGJaYOClJQ4jUl0QjfuNanmVZ4Z1WRt5hk+OP5BRvIjveZYt4pt2je8JiHEnSFBUtwVcnaORN94sv5m6UQdXl58mdOrp2n7bR4aeIip4hQr/grnVs9haQvLsEjShJyVY62zxnhhF6+vvkFIyEp3BRRMFicpOAVeXnwZ02/TlxuGoI7neDSjJkmSEKQBAQEXARJwkxjHKdPQLRIUXNdN29Gdt5Qz0UkvMxOaD49/mDiNObN6hsniJGOFsS29Z0LsNHfvCAqxo5QypbcuN7UFbNOm6lYZyY3gWA5fO/s1vJmUT1ofZDQ3imd6VOwKruniOi7dpEsjDegrjKCAgAALizAO+d7s91jz12ii6EQtTNNAa82e0h781Ce8uqp2mpJPYlIDHN3qZVSyv/9vVQcHY/3j2aVLQNCbj9nqsHr8RT4w+gEJkEJsAQmSYseyDZvB7CBVt8qjg4+SdbKcCE9yMZmhkClwoHaASEdESUQ36aJQzHfmieOIkm9BAoEOWAwWcZSDRjNSHEGHEZ2gSb6b4JgOJadEgQIWFpbhoJ0cWBkSVaRsl1FpysTVef0J2NikpJi8mT3HUx4/tvfHeHL4/RScwvbcMCF2IGluFTtaK2rhWi6nlk/x6MCjmIZJO2qzj33MdGbYVd7F8cXjmMpkODfMYnuRhXAR0zXYm9uLYRosdBewtMVYy6HhX2LO9cmpLC0jYXHlFBgQr/8D0GgSEjRd7NimnKZUwogZHGKliHSEmUBiQc2qkXEyFK08j/oDmOUyVqWyzXdNiJ1DapJiR/uj039EM2zyY/t/jIvNi3SiDp/d/aPsOd3kgBrmpw7+FJ/a8yk+ueuTTJQnKGQLZFWWcWOCQ9lD7Crv4vHBx7FMizmrSd0OKVtlLNtmJVlkOVqmETQYyg3h0Es36KpecvuSleUxu0YuN8ZyrowyVe/P1hRsDeOJx3h5nD63jyFV5tzr36XbbWzj3RJi55EgKXas9mqdj3rv5fHBxwEYyg3x2b2fZaYzx1whYXBgFxkrQ87O8eLCi1QzVT6393MM5AYoFou07BZoeO/wezk6epRSth8rpTedI05Q6w01FhaGMq71MV4doLQSNzkXrbEQLLNMby5lKU7IGQ4Vux90P3PtOS42LjI6tI/6o7twMrkbXYoQYpNIc6vYsQzTpD/fzxvLb1DMFMk7eRphgw+PfZgTSyf42uVv8Hnv84yea/JCc47zyuTc6jnM1CQi4kzjDO2wTTNqorWmUhxgrdFhsDDI+dXzBPQ6Gn186kGdcqaMH/tYhoURG4Q6xDcNKqoEyiQJE/aHLcxyP7mBg/R7/ZxaOUXNq/Ho4KMcrB3EMuUjK8RWkk+c2LG8QhGvUCRuzeJaLo8PPs6L8y/iWR5Hh47ywtwL/JsT/4Y4WGV8aDcTffv4q0tP0+50cLWDiUmf14dKFY24gWmaZJ0sl1YvkZBQMku0khZJYrDSzeF6S7hm5lp6OzM2acctbOBg3yMM6SFapYA95b0cGTiCn/p8bPJjnG+c5yMTHyFjZrb7lgmx40iQFDvecH4YgCRNeKD2AG/U32DRX+Qj4x/hq+e+im9rOmaCUopW2CIFqpkqZ1bPEHUjZq1ZslaWTtBhTa9da1btJB0SEpSpGCpmsOx+gsTHMAyCOKCj22hgyB3hzNIrZN0+DvQdZC1cYyVYwbVcvjPzHcYL4yj9zhZaFkLcWdInKXa844vHudS4xMvNDpbdz/7Kfj6969P0Z/sZyA5QyBSYbc/SCTsM5QdZY4WsncUxHCpOheHsMBkrQ6QiMmSwsEhJ0WgADDQfnnyCvNNLmDBVmsKxHJSG3REkSpG1StScKqNhgYN9B6lmqlS9KqO5UYbzw/ipv813SYidSWqSYsebbk2j2or5QJNUp2j5swxlh3hp6SXyTp61cI2R7AjLnWXKmTIazYnlE+yv7WeptUSsYsap0tB1hku7ON88j4eHaZisxCtoNGfrZ7m0egnLsCjbZfq1ggT6LQdVGmd6bZqwUWfh4ktcDrN8dPJjvLf2XopOkT2VPdt9i4TYsSRI3udOzjUZKGQoeTZPn1rkobESfXnp27reJ6c+SapTLjQuUMvUeC1coe7XCaKAc2vnaIUt3jP4Hk4sn+Dc6jnKVpmqVyVrZVmL1vC0xwW/joMiY2Yo2kVWg1Wc9X8xEa8sv0hESpqmPDX7FGPk2Fs9wAopKyunMbTBxMA+hg7uJR+2yNk5Hh18dLtvjRA7njS33ueCOCFONYahmOzLUfIkIfbbKaVIdcpTl5/ibOMsc+05vnHxGxjKYCw3hlKKr5z7ClEcYaaKks4ymZ+kGTQ5UD2AQjHNCoViP920y1wwR0BAN+0SEqIAC0VKSpYsAHN06DTaZO0sSZowXBjmM/s+Q87Jcb5xnryV7y3XJYTYVlKTvM8dHitfe7yrT+bYbeTc2jlMZZKzcpQyJZ4cfZJzjXN869K3QPcCqZ/6lOwiGs10a5qZ1gye7dEKW2g0y/4yaZQCvaw61+ZFommvTwe5+no19dhrD+Pnq3iWh9KK33jlN/inH/qnLHeXiYl7S3ZlStt2T4QQEiTFDna5eZmqWyVn5xgvjDNbnOW3Xv0tapka2tA81PcQqU7ZX93PTGuGIAmoFqoYymCuPUegA9phGxubLFniKMYwDXJxjpAQ13IJ4uDa+bIqi6lMgjRgwWhzuZIQN3vTTyyjN9hnODvMLx79RY7NH8MxnW28O0Lcf5RSLvA0kKEX//5Aa/2/3GwfaW4VO9ZCZ4G1YA2ArJ1ld3k3fuyz1FrhmZln+bcn/m1v2ay1c/ipj6UsMkaGJE347O7Psre0l6yRJWNm0EoTEWEaJnknT0TEWrz2lvN1dIdm2mQiP0GGDIlOSNOU+dY8/W4/v/TeX+JC4wKmMhnMDsq8SCHuvAD4qNb6EeAI8Cml1PtutoMESbFjPT74OCP5kWvPJ4oTfHjiw+z3HuRHhz7L5eZl2mGbKI4wtIFSiiiJqLgV/NTnvxz/HO9Vu1Fa4WsfQxk0wgYL4cJNz7vYXsS1XIbzw1xsXqQRNVgLFnnxyjf49vS3+ebFbzJZmsRQ8vEU4k7SPa31p/b6l77ZPvIpFDtakiY8M/MMa8Eap1dOk3NydL01an1l9lX30Z/rZ7I4SdWtkiYp9aCOZVo04ya/eva3eS45h5fxsCNNlIbkjTz2db0YV5OaX68dt1mLGzwz/QxjhTFyVo7h3DB+qrjQvEDezmMbMsBKiM2glDKVUi8BC8Cfa62fvdn2EiTFjmYogz6vD8/y+NaVbzHfnmcsP8ax+WMMeAMoFLOdWRpBA8/xMJRBN+xyfP44q91VWnRIgpjJZZMCLpHuJRS4uhJkSIiJSa2uOTjbaz61TAsDk3bSppy6DHczXGrN8ejwBzgycITRwuj23RAh7n19Sqnnr/v64vVvaq0TrfURYAw4qpR66GYHk4E7YkdTSrG3sheA/ZX9vDD3Al+f+zpD2SH8xMfCYtVfxTItqpkqfuzz2vJrJElCSAhAPV1ldQjypkErWcPDIwHKZpkwCYmIqOfBz/iAIiamYlfQaLoqZK27gNGGvJ3nZw7+DJYhH0shbsOS1vqJW22ktV5VSj0FfAo4vtF2UpMUO1KcpHz37Cyt4M10b3PtOV5ZeAULi8P9h3lt+TU6aYep4hT9bj9aaRY6CzSTJh06xMTXUtAlpPhJExMYyfZywa4mq0Tr/1Jb0c6+mX91rK4Y6Nr4OmHGC4l1TN7NY5s2SkmeViE2g1KqXylVXn/sAR8H3rjZPvInq9iRNHBm9TxuboliJsuJpRP82Zn/jNnpkqvUODpylO/MfIeMyvDi/IsEacCV9pVr+Vh7mXR6/64K6M2RvNi5dO01hcLGxsTExqZLFxOTVTsgwMAOmwznh3mg8gBvzL7BZGGSrJ3d0nshxA4yDPy2UsqkV0n8Pa31n95sBwmSYkeyTYOffvQohjJ4ZuYZ/uDkH3Bi+QST1NCdBf5l8i9wVIYTSyeI0giftyYYNzGvNbde5eAQEhIT4+DgKpeWbpGSEhFRNStklI1WCitfZNjt52zzLP2ZfoJOwHcvf5eP7v3oVt4GIXYUrfUrwLvK9yhBUuxYV/v+Xlx4kYXOArZho7MeM/ULnJmbB3qBr2SX0JEm62RphS0CAhKSa8cpqAJVt8pcd+7aawYGhmFgJAZZsrRosbp2hXxs0CpnWY6WmcpPMZwdJkoiFowFHqs9RtEpbu1NEELclPRJih3vw6MfpuyWidKI862LdOxes2mGDHkzTz2qExBQsAtYWKj1PKxKK4wAYh3TiBoEaUDOV+RwsQ2bVKcoev2LBgaBZ7CQA8dysLA4vnKctWCNjJnhob6HGHAHaEft7bwVQoi3kSApdrxD/Yd4fOhxDAwSkms5VxWKlWSFmJiUlAvtC73giOoFSw2Vtk0UdlmNVzEMA9vN0iWkmTZJ0gQLixYtbGxcM4dpm0RxhKUsFsNFunEXz/LIWlmW/WUSndyitEKIrSRBUux4Sik+t/dzjBXGMDBI1wfgXN8PeTVwduleC5QZw6JejbEcFxeXvJlj1NW4pGRJaNMioRcoAwLatElI0GhMbWJhUc6U6cv1MZQbYsVfYaY5sy33QAhxY9InKQQwkBvg8wc+z++c+B2udK983/tXA+dVXbrf91436XI2gYJRxDESssoljCNCHZKSUrNrtOIWHd3BwWE0O8quyi5+Yv9PsK+6j1q2Rl+ub3MvVAjxrkhNUgjAVCYjhRGmilPX+h2Ba/+/nYcH9GqYIb2EARkyZKwS5fwgBwbfi205vZyuGExkJ5goTTDkDVE2yxgYuLbLcmcZwzDI2Tk+MfUJ+r3+LbtmIcSt3VZNUin1k8A/Bh4Ajmqtn7/uvV8Cfh5IgP9Wa/312zmXEJtpobvAYnuRs42zZI0sURrRpXttXuTbXa1JXq1FWliYmMRxzFxzjqXOEnESry+6rLjUucR8Z56MmcG1XUzD5Cf2/QSjxVGWu8v4sY9ruVt2vUKId+Z2a5LHgc/TW5/rGqXUg8AXgEP0Uv782vrkTSHuSlPFKapuFdu0MQyDjJG51g95MxYWJaO3MHKHDj4+Xd3FNBwquSHKVpmsmcVWNpOlSVJSHMvBUAaXmpc4OnyUkfyIJDQX4i51WzVJrfXrwI3SaH0W+F2tdQCcV0qdAY4C372d84n7w/JMC9MyKA/cPZlllFIcHjjMR8Y+wmJnkWV/meXuMtPN6WtJyq+fGwnQ5/QRpREWFkPeEEmUMB/OY2KCsvGcMmXH41z9HOP5ccpuGdd0iXXMPzjyD3j/yPvJWBkOVA9s01ULIW5lswbujALPXPd8ev01IbAzJoZx93WHlzNlfuqBn2LVX+VK8wp/ePIPmWnOQ+iQWC0wepl2siqLbdsM5gY5Wz+L6ZgsdZZQWuHg0Of1gmcYLfGZfT/BU+ZTlDNlzjXOsdhZ5JG+R0jTlK9e+Cofn/g4g7nB7b50IbZcO+rw3Nxz212MW7plkFRKfQMYusFbv6y1/uONdrvBazfs3FlfxuSLABMTE7cqjrgPFGvedhfhhlzLZbI4yWRxkoJT4If3/DCWsnh9YZE2lwjXM+0EOqDm1LiwdqE34Cc7wsXmRbpJl4SE6e40JafEWGaM6eY051bPYds2ByoH+NjEx3BMh7HiGJ7lUfWq233ZQmyLsJLjwk++984f+H/7/+7o4W4ZJLXWH/8BjjsNjF/3fAy44QQwrfWXgC8BPPHEEzddIVqIrTKUG+J9I+9jsb3Iyfp/IJM6WEkvX2tCgtaasfwYzbDJP3zsH/LVc18ljENOr51msbvIh4Y/xHR7mufmniNJEnJ2jh/b82OUvTJaax4dfFfpI4UQ22Szmlv/BPh3Sql/AYwA+4DvbdK5hLjjsnaWul8nJiZv56kHdWzTJkkSbGVjGzZ+6pOqlN86/ls82PcgtmmzGCySc3KcWjlF3sljGAYH+w/yUP9DDOYHGcoN4ZjOdl+eEOIdut0pIJ8D/hXQD3xFKfWS1vqTWusTSqnfA14DYuAXtJZ8W+LeMt+exzEd/s7Df4fHBx7nn3znn7AULHGwepBm2GS5u4yBwVx7jiiJONR/iM/s/QyvLrzKa/XXKHgFdrm7+MIDX2BfZZ+sEynEPeh2R7d+GfjyBu/9CvArt3N8IbbTkcEjHBk8wpq/Rj2o8+TEkzSCBlkzS5cuD9Ue4tvT36bm1YjTGFOZPNT/EP3Zfg71HWKqNMVSd4mB7IAESCHuUZKWTuxYc+05+r1+TOPGU3gN1RuBO9+Z588u/BkP9z/Mn5z+E/zE5xce+wUe6nuIKIl4bu45vvjIF0l1ylhhjP2V/ZxdPUvNrfHE8BNbeUlCiDtMgqTYkbTWvLb8Gg/3PUx/9uap4PZV9jFSGKHoFJksTjKUGyJr9+Z4fnzq4zzc/zBDubcOAN9T3rNpZRdCbJ27b7KaEHdYmsa022fR+s3B00opPjrx0VsGSADTMK8thry7vPtagATImBkmihO8uvQqry69+n37vjD/AoudxTtwFUKI7SA1SXHfS5I2XX8az5tEqc35kd9X3nfD16tulZyd25RzCiE2nwRJcd+z7RJ9tQ9v6jmur11eb1dp16aeVwixuaS5VQghhNiABEkhNonWmiSV6cFC3MskSIofWJSkBLEEgY2cXDnJC/MvbHcxhBC3QfokxQ/sxEyDME44uqu23UW5K+0q7yJMwu0uhhDiNkiQFD+wQyNFUi056TeSMTNkzMx2F0MIcRskSIofmG1Ka70Q4v4mv+WEEEKIDUiQFEIIITYgQVIIIYTYgARJIYQQYgMSJIUQQogNSJAUQgghNiBBUgghhNiABEkhhBBiAxIkhRBCiA1IkBRCCCE2IEFSCCGE2IAESSGEEGIDEiSFEEKIDUiQFEIIsSMopcaVUn+plHpdKXVCKfXf3WofWSpLCCHEThED/6PW+phSqgC8oJT6c631axvtIDVJIYQQO4LWelZrfWz9cRN4HRi92T4SJIV4FxY7iyRpst3FEELcJqXUFPAo8OzNtpMgKcQ7pLXmlcVXWOoubXdRhBAb61NKPX/d1xffvoFSKg/8IfDfa60bNzuY9EkK8Q4ppfjoxEdRSm13UYQQG1vSWj+x0ZtKKZtegPwdrfV/vNXBpCYpxNvMted4dvbNFpggWKDdOQ8gAVKIe5jqfYD/X+B1rfW/eCf7SJAU9604SXnl8iphnL6r/SpuheHc8LXnaRqRJv6dLp4QYut9APg7wEeVUi+tf336ZjtIc6u4L60tdmms+XSMlFTrd7VvxswwUZy49tzzRrnFADghxD1Aa/1t4F01B0mQFNtqeaZFxrPJVzJ39LiZrEXJcBmveXf0uEKInUWCpNhWCtiMbj43Z+Pm7Dt/YCHEjiJBUmyr6kh+u4sghBAbkoE7QgghxAakJimEEGLrhU04/63tLsUtSZAUO0Z7LSCJU4rvcDCP1lrmRQqxSfrNLP+gfPiOH/cX+N07ejxpbhU7RugnhJ34HW///PzznK6f3sQSCSHudlKTFDtGecB7VzXDveW9uJb7ltfW1l7EcQbW504KIe53UpMUO0Ict1lY+M8kSefaa4vNgJNzDWZaMyx3l79vn4pbwbPe2jTrODUsK7fp5RVC3B0kSIr7Qrzqo6ON089dWE5pJA8SxzjdGgAAIfBJREFUaYNXFl8hSRO01iSppu7X6USdDfe9nudNYNvlO1RqIcTdToKkuC/ESz5JIwDgu2eXma53mFntotdT0pmmwUInRycI6QYBL15ewjQUD46UqNl7GCuMbWfxhRB3KemTFPe8uTWfZjmi4Poce6XO+aUWe/rHef7iKsstj5NzDdphzKvTDX6t3ibnJRRLz7O/fJC/9fAI//dfneG/+vAuJqqS2EAI8VYSJMU9IU5SDKUwjO8feNPwI16YnmW508JliD9+aYYo0fwX75vkd565xMXlJs9frFPIWDT9GOow3MlxuM9g1Q95eLzEN889x/7mCO8Z3cdrK68wlBui360AKaYp+V+F2KkkSIq72pXVLlnb5CuvzNAJYz710DCza1368xnOLrboK7g8OlFhuTXMYr1OYMSUMyZ/fmKWqWoO01SUsza5jEUYa/YN5FhtR6x2Yv74tWOcWh7mH/+t9/Gd8ymvX4p49uQphmvQKAV4/a+jdUS5/J7tvg1CiG0iQVJsqyAIiOOYXC5Hw49wTIOMZXB+qc1qJ+T3n7vE0T19tLoRjSDid569yIsXV8m6PkHS5TMPP8iR8TKdMOHCcotzCy3CJEGjuFxvcuxiHT/WHN1VZaqW42K9g1Zt7LjLpfA5iq1HubRymJxVZLm1QMsP+e6ZFu/f5/HE+IOESbLdt0gIsY0kSIptVa/XCYKAXC7HazMNPMvgG2/MMdcIeGKiwmDJ5fe+d5HHJiqYSqF1imsr1jqQ4vIHz09TyxtcWok5MdMgZ5s8NFziO2eX+ZOXL1F2PXKuzbmFFjnHohuk2ApOXE54YOSTqCDLX56c5zOPjPJDB/oI4pQLyy1WWwH/+dV5TEPxvj19DJXcW1+MEOK+I6NbxbYaGhpicnISrTXvmapyaKTAYsPHVgYHB/NcWumwdyDPX59d5svHrpBzbEYrHn1engeHaniZlC8ff4Gl+gp9jSusdSNOLbTw3AC3fBI/iZmud7iw3ObSSouWH3Ds8hppoilmPDxLMbPS4emTC/z6U2f405dnyFgWrTDm33/vAvsG8sTpxlNLhBD3t9uqSSqlfhL4x8ADwFGt9fPrr08BrwMn1zd9Rmv992/nXOL+laSar5+YI4wTfu+5SzT8iMWGzyuXl1nqROwfyBPGKT/++AiWbfDXZ5bJOQZXGl3Gah5/c+8jvHCuzoXQJlQBy80ufUWP9upespZBnMSEseb4lSamgjBJqRZtptcCWn7I6YUWC82QSytttIa+gsP7dtVodCPKWYuRsgzcEWKnut2a5HHg88DTN3jvrNb6yPqXBEhxQ2udiGfPL2EojW0q+gsOhlZoUhKtGCt7fPdsHT+OaQUJf/naPIYBlVyGw2MlbKU4PR9waS2CQgWtwXNMgjhBpQ67alkGyx4TtRyGAUutAMcwCIKEMIwZKWXYP1hgrRvRT5fu5deYb4Qcu7DCSjfiF3//FV6fXdvu2ySE2Ca3VZPUWr8OyEoJ4gfiRwlPnVzgufNLNIKYh0eLzKwFXK63sE0T24L5RsBExaUZRPzZiVmGSx6jlSy7a3mOX1ml5FkstwLCKEEBnTBlqJSh3olo+BGtoI5nWzy5v49XpyOaHQONxjENtNYsdxIWGk0KnkF/sYhSCa0o5NhlH0NpqpUcOUe67oXYqTazT3KXUupFpdRfKaWe3GgjpdQXlVLPK6WeX1xc3MTiiLtJK4hZaPi8NL3Cy5dXeO3KKv/mhadYaq+itSaXsXjlSpvFZsD+AUXZmme5HbHQCmn5EalO8VwLpeCRyQojFQ8DGK9leXJfP5O1HBNVlwnH4lDepeg5WCa4jkHJtSjmMgyUXaww5UA7Yn9/kXZicCLIcHKhzt6BLEGiOXZpmd9/7jKtsMVce267b5sQYovd8k9kpdQ3gKEbvPXLWus/3mC3WWBCa72slHoc+COl1CGtdePtG2qtvwR8CeCJJ57Q77zo4l423/D5tb84zbPnljEMzUw9xM1UmerLQFYRxSkK2NPnkXct9g7aGLbHRDXPDz88xGonBmUQxwnffG2e2dUuY9UcF5ZaLLZCDo+VObPUYqLscn6hw7f++hwogzBKKedMHhorsae/gLffIFwLuRTHFD2LMZ2n4Hq8NN0gimPKnk2MZsVfYdlfZsDrw/enyWantvsWCiG2wC2DpNb64+/2oFrrAAjWH7+glDoL7Aeef9clFPedNNWMlj0+sLefwbzNXDPkm61ZothlpZkwWMoys9oha8ODoxVen20wVNrLRx8osNj0qXciAL766gwl18J1TAaLGT798DDj1RytIOQrL89SbwU8MFwg51kYhkHVM+lECkMpnruwyrFLq4xVckRJwsXlLh/bV+XMfJNW18API9wkJdaKgmMxUZxgojhBGK7Q6ZzH88ZRytzmOymE2Gyb0tmilOoHVrTWiVJqN7APOLcZ5xL3Fq01f/TSFYIwYf9Qnn/3zHlmVn0SDYWsxaOTNY5Pr5J3TLpBzDdPzrCvv0gpY3J+qYVS8KevzNLwAxwDkiRlrZNwZaXD2cU2H9o/QN0PODfX4txSh8vLl9jXH/Ce0SbHF4fZM1jkowcHeO31BZ66XOdUkPDoRIVmPubixQZlDE4u+1gm5LMORAmLreBa+R2nSl/fD23jHRRCbKXbnQLyOeBfAf3AV5RSL2mtPwl8CPgnSqkYSIC/r7Veue3SinvW986vMFrxqOUc6u2A0/Mt/tPLV2iGMSPlDAeHcrx6pcHx6TpLzRDHMnEsRZzGFNyUvzq9uD6AJsUwDAxlEOuUJNR8cN8Atm1wer7JS9Mr6ERzeaVDX87CjxLqfobHJ1zONwwGii4PjpZZutJkshpSLnucmF3DUIrlKGF3X45o1SeOYKEVkndNHh4tbvftE0Jsk9sd3fpl4Ms3eP0PgT+8nWOL+8tgMUPZs3FtkweHi/z1mSXOLjToL3l0Y8XaasBiJ8Ho9EaphnFCxoDUMJmpa4qeiW1aGCohl3GYrndQ2qCUs/kbe6rUCi5hnPBXJxcwFQyVvPXRsj6LTZ+vnFmkWmpwbtHhV/7TcfYMFOirZjmz2EKn0IpClFIstULQYNlwZLzMqfkmX3l1jqn+Inv785Sy9nbfSiHEFpKMO2JLTNZy5DIWaaqp5RzKWYeMbVJ0LVxLY+iUAwMeQ0WblN4PZn/GRAH1dkC9k2AqTX/BY82PiFNNNW8xt9bld569yO8+e5H5ZsjnHxvFdUymalm+fXqB6ZUuLT8iCUp0GyM0OyFn59u0gph9AzniOGHPQJ7hoks+Y+M6BpN9GdIEFlo+E7UclZzNYtNntRtu810UQmw1mQAmttRSK+DVmQaVnMNELUcnTJhbDZhrhuRtMEyFAlCwHCVo4LGpCifn28w1App+xJofUfRsGn4C6xl05htdBksuK62QH3lkhJcuN3BtxUo7ZGJ9OkgnSrm40iJI4diFJV6+VKcdJOwfKqCUiak0M6s+aZLiWLC45hNHmp98YoKPPTCIbcrflELsNPKpF1vqjbkGT59cwDEVH9zbj05T6q2QFOhG0PY1FpBoiDT4MXzrzCJr7d7k/qm+LKVshpxjo9AMFjJ0wogTs22eu7DMV0/M872zS1RzDnuHK+wezLN3MM8H9/Yzs+rTaMeMlmyyjk0cJ2gN3z69zFLLJ5+xMIEg6ZWl5Lk8MFJmqpaXACnEDiU1SbFlwjjl1FyT6dUOr881yTom5xbbBBo8AwZKNuPVAscvr7AWgmuAqyAIIFApUQonZpoMl7J87OAAf/rsJertANM1qeRMHFORyygurHRAGRwarWArhR/FrHQi/CimmHPohgnVrE2iNeW8RcOPcR2T+abPqp+yq5ZhpRMxWHRpBxHNbsil5RYKg/FadrtvoxBiC8mfx2LL2Kbivbv7eHS8TBwnZExAazQQp6AwGSpnsC2LnKPIOha7ai5TfVn6Cw55B/wwZaHR4enTc7TSXgKA/kKGJ/f04VkmpjKoZB0WWwGtIKQdJqy2I/7q9CL9xQwmmoprMVh02V3L0Q5iso5BzjHxg4QUmK4HHBwsMFXrBcnT8w3WujF+LGtLCrHTSE1SbJnpepdGN2K1GzHfDJlr+NSUwUDO4HI3ZnbN58ULq7xnd42zC2vUOzGWZXNhoUnGMslmbJJEk7E1p+Y6dNMWVpAnbcW9JtJEs7fm4bkO5xY7NLohR8bK7OnL8U+/+hrdMOXhsQLTdZ+FZkDXD1ntxKQaEkIGsgZpN6WTwvHZBoYCxzJ4YleNh8fK2337hBDbQIKk2DL1TsiJ2TVa3RhLpRiGYlfFZTFI0Z2YUMNco8tELUs7SFhqxVS8iFrOxrMMhopZnr9UJ0wNJmouLd+hG8UYKqXZDdhTy3HlyjxWvkDGdri84rPYjPi3z1xAaU0+o0AZ2KYiCBMWmjFTNY8wiZldi2iFKR0NAzmT/QN5nr+4RiFrM1aRJlYhdippbhVb5rWZNeqtgA8d6CdjKVzb5EqY0CGhmOn9xRZGsNoOyNgWVc8gijTvmepjsdnkxMwaWcdgtOzyo4dHsS2DMEmJYgijFENBIWMRp2AaBpN9OZZbXYJEU8g6FD2b0YrLUMWjGcYUPANTKRzLxrV7+06WbYIkZbYZ8cMPD/J//MQRWU9SiB1MapJiS1xe7pCzTd6Yb/Ly9CqT/QUuLLbpK2SYXvVBGWQdTTPUvD7X4sGRIrWswZXVkIYf0l9UrHQ0fqC5WO+w0F1hqOjiWYpmlDJbD4hSzYz20GFCJ+ky44cUMg6fnOrnGydmMU3Fkj9PM/QpFlJUVOH0YoeMCa6tWOvGlHNZduUyHB6r8Hc/sIvdA4XtvnVCiG0kNUmx6ertkJem6/hhTJz0Br80ujGlrMNkf4EP7K6xb7CIVlB1oeIqjl9ucLk1R5hEPDhcouT14do2Bc/GM+FrrzSYWevSjlIeGi7yuUcHSZXCrmSIVa+WmtMQRRFF18I0oZixmF40OT/nMrPo0QljLAPyOZNWpLEteGi0xO6BmGeunKAZRjx3XrIpCrGTSU1SbDrXNtk/WGS52aWad1ls+jwwXGRmrcvrMw0ylmKk6PLAcIHjlxtEqSaXMSAqYaB4cWaNJQtsQ7HSCokTMMyEhtFGJy5zq4uUciaGoQhcC89OSFILx1IsrER8/bVZUFDJ2oRaUfJ81vyEnGPRDhPCUGMpSBN49twynaiDrw3+00szlLMZnpiqyMLiQuxQEiTFpvMck2rO5v/99lleOL+CaWhOzTbxo5jhssflFZ8k0ewfLrLajljthCgM4lSTpCl+HNAOmxBZmAYcGCqQz1gcn6uTKFgLYKGVsH/AoxtENEKfSlYRhjZ+AmYQU8s7KEOhkpT+kotjhFimIudYRHFMHEPBM/CjCFKLBwaG+dHDoxwYKkqAFGIHkyAptsTXjs/hBzFpmqK0RpOQagij3kT+RMG3zy3SasVUcxadSBOFCYah0ElA1VzhTKtGxgTPsah3A1zDZiGIGClYLPldGl2DxWaKqVzCUKN1L5NPKwLVicm7Ng0/xm9ErPk+Fc8jSiBKwDAh69gstQOOTtX4qaPjnFtqMVjyGHJk3UghdirpkxRb4scfG+PAcInD41VMpbAU9OUzdKMUjcF8o4syYLIvy08dnWCgmME0NdqApaZBoz7EVM2jv+Sy1AoZrxRoBTGlrMU/+pt7+fgDGVxbkQCxBseE/UMFah6MlTLEUcqZ+TY6STEwMDFZ62oKDoRJLxXdWidgqGBT8mziVPPXZ5c5v9zc7lsnhNhGEiTFptNac2G5zd97/xSuDYudiHYE840AraDbDVlsxDSbEWGcYhoGrqVY7UK90xu5mqSKRANaE4Qxy+2AomvSCWJ++zuXWVoroLTNcN6ilIGMY7HWiTBti4xnkgC2BYZpUMpnyNg2MbDsa5SrcIxejdNzHB4YKfIjh0f5p597mL+xu3+b754Q4k5SSv2mUmpBKXX8nWwvza1i02itubjcoZZz+H++dZaZls/8cpd8xkKnKUuhJvATMhmFVpqKZxFEKX/00gyubZAxoJOCn0KjE1JwPS6tBEzUXIIoZLoRAzDf7jK9kmIZkM04vGd3H0opjl1cIYgSsqZB3jXZ35+nEyd0gpgo7v3w+zEYGQObZP0vRo1jGXzl1RmGSx6PT8qgHSHuM/8a+FXg/3snG0tNUmyaOEk5dWWFvzy5yFg1S5BoshmTH398gk8fGWOwZJP1TFJtcHiszM+8fxeHRgvMN3wG8w6e0zuOQS9Yzq52CTUstn1m17oYwIFBF60MEqAVgCbloeESu2o5chkbyzSxTJMfOTyCaRnMrfnEaW+6h70e+7wwwbHANKCUzbDaCXEtk1PzTbqR5GsV4n6itX4aeMdzu6QmKTZN2Gow0TpH6dATlD2LE5dXWTU15xbbjJYzYBjMWZBrRVxYarN7sUO9HZO1DLQyYD2IWYChoBUDJDT8BoeHRzFUTMGx6QQpTsamVLZ6S1+dWeRyvUsuYzFYdsnbFq9MrxLGKUGcEqcpWkMmA10f4gRKWQvL1EzVcjy5b4Cju2vbeOeEELehTyn1/HXPv6S1/tIPejAJkmLTZEtldj9+lP/w4hz/9rvnWWwG7OrL0QoivnehTaMVYGnYO5il5Wv+06u9ZtYo0VxabqO1gUF6bTCOAjQmpq7gmgaNTshaNySMYahkYygDtb5wchAmlLM2fpAwkHd4faZNzjPpz9nMNgMcS2EoyFsax1ZM9OWo5Bw+/EA/rSDe7lsnhPjBLWmtn7hTB5MgKTaNUopOavK983Uem+zjzHwDtObkbINq3ubAUJGCZXF2sc1kn0vJjSnlCqx1YmYbXdpBStmFMAxppQ45G1xL4VoWb8y1iDVcnZyx2o4YLXrMNAPaQUicwuV6hyiBONFkTMXSWkAuY+KaBn6cks9YOKYmSjVXVn32DRT42IHB3gAhIYRAgqTYZCXP5n/4xH5OzTZYbvskScIht8RqN2Sw4PCAlWFpdo0zi8uM5pc5dn6QvGdTcU3iOMFSKdqq4yT9VHMuHT/CtU3iNKXqOsx3Q+JuQqzhjfkmcapxnd7cx/19HrW8ywsXVwlCTTmnaHQTOkmvVjpZy3B2vk0xZ3FotMiHDw5imQa2DNQRQqyTgTtiUyml2NWXZ6ya48hYhb19BTK2wWIr4PW5Ju1uSDlj0wwsstk9GIZipRNRyWZ4dLJGohWpUWMg67DQCGn5muVOwEo7YcYPCB3NcNnhA/tqGEYvKJe8DOMVj0Y35pUrdVqhJutAwcug6f3QG8BKO6JcsDk0UuTRiSoff3BIRrIKcZ9TSv174LvAAaXUtFLq52+2vdQkxZZwHRPPMXn61Co5xyRONENFh1eikNNRRDeGV6+0cCwDHWsu1n32WCbVrMf5ZU2cxLh2b5BNGPXaQ5NOimHBWhpyWjdRyuTJ/X10wpRSLuH3n79EEGc5PJyjEySEccqePo/j810UcGAox6WVLpeX27x/zwD1dkgl52zvjRJih2gHMd89t7zl59Va//S72V6CpNh055fanJ5vsqs/j2GaDJVznF/q8PFamWcXG+gkpYCPgYsfppSzNrNrAY1uQCMEz1wf6KqhHfeeDxVNulFCyTNZbiXkHJNWmPIXbywyUc0yUCxzYKjK/FrMIxMV/uyVWXSq0RpKGYVnw5mFNlN9OWq5DBdX2nz37BKfPjyy3bdLiB2h5fTxzMQXN+HI//yOHk2aW8WmGyxmODJe4ZHxMh8/OEAhY3J0T42FTsjlhs9Ef5bBostwNcuhsSJF1yIBwhhqmSUKToNuBI5tYNLrb1ztJkQpOFbC7sECrSDBVCndMObcQoun3lik6ysUcHx6jb5ihm6ScnktpODavGdXP3nXJoxTfu4Du1FAM5RRrUKIt5IgKTZd1rEYKrlUsg6Hxys0g5gw1lzUKW7O4f17+omcDFGi6YYp7SDGApIUyl4BU0ECNDrr00GAZgTNANqRzbl6m24Y0wlSJqtZjk6lHJ1yWGoHtIOEc4tNgiRlz0CBmmcwVHR5YLjM4xNVWmHCyYUmAwWXA7LAshDibaS5VWypJ6aq5F2LU3NNzi80+Y/Hmpyaa1HNOMw1uxQyJqWsQxgnxFHKnmqZkysxdCKCt03NsAxY6URo1+SJsTKn5psoAy4sW3RjqGQdCo5BsD5VxDBgz0CRsbLLXMPnwHCeTx8eppRz+NvvmdiW+yGEuLtJTVJsuQODBUbLWcZqeb7w3ik+/cgIfQWHRjdmtRvziQcH2TdUYqiSZaZrEkQa97qf1Kt/2UUp6BjKmPTlXJp+wp6+AkttTZIqHhgp4To2FgbzDZ+5VZ8rax3OLre5vNLhxUtrZCwDJfMihRAbkJqk2HJKKQaKGcIkIU4T/vzEHK0oZVdfnqFyhiBOiXyflXqXxFIsdd+MYhawq5bh9HKABso5G4XmhUsrREnCX59bQil4aXqVwbxLJW9zaaVNmmp2jRT43ONjDBVdXrywTJDA41NVmfYhhNiQBEmxpdJUs9QOGK9mGa9meXS8TBClrHUinr+wzGIj5NlzF3l0vEyoujgKchbkHYP5TkoMXFwJMOn1U651Ij60v59nzi9jAK5t4mZMzHaE55isdhMenijz4GCek3Mt4lhTyWX46b+xm1MLTQmQQoibkuZWsaWW2gHPX6iTpr3aoetY/Pjj4zw8Vub9e/vI2AajJY8DQyUemarxsUOj7OrPY1nmtWOE+lruc4IYwvAKD/edImMq/DCmG6S8f08fnSih4lmYGCy1I6YG8gyVMjw6UWGk7PGR/QPbcAeEEPcSqUmKLTVQcPnUoSEM480aXC5j8ehEhQNDBTKWxVdfvcLXXpvj4ZEip+aa1DsR9U6EQUSKjUFvhKtrRIz35Tl2BQw9wpqv2d3v0ghjZps+RyYqHB4vMVXNcXRXjXonpBul23btQoh7j9QkxZa7PkBeVcraOJbBVH+Wn//QHobyDmcX2/hRTN4xODJeppZ3sQB3vVLpp4qOH2AYBjm3jG2BZxs4pmI4nyGINU9M1HhwtEzWhP61BfYNyjQPIcQ7JzVJcdeIU001l+HwWJmLiy3+8MUr+LHmcr3LSjeg1U3JOgrH1BBBN7aYb0Auk+JkQhzLYK0b88h4mQ8dGKRWyPDQWAmlFPHKCtH0NM7kJMqQvw2FEO+MBElx1xgsugwWXQA+8+gYyjD49skFspZiseNjrqenW+v25jx6NnQiWAt6j0uuSSHr8IkHRzgyWWGskr12bKtaJf/kk9t0ZUKIe5UESXFXGip5/O0nxpmsZVlodHlleo3nzy1T9yNKWUWzm+JHvW0rHiTapJLL8NhkhSBJGSl523sBQoj7ggRJcdcqZR0+cWiYeisgiGCkmOHYxVVemamTsSENe/2TZc9jV1+Was5hsORxdFf1hv2eQgjxbkmQFHc9xzbIeyZ7Byv88StzZCwL2+glJP/kwT6Gynl+7sldtIOEmdUup+fbjFdz211sIcR9QIKkuOvlMjY/9Z5J/vrMIo+Ol6nmHAquzZ+/Nkc17/HT75tkpNzrf9w3WLg2B1MIIW6XBElxz1hoBjw4WubQSBE/jAniBIBC5q0/xtLUKoS4UyRIinvGxx4YpOnHpGnKd84ssW+gSM41mW8EDKyPihVCiDtJgqS4ZxRcm4JrA/BTR3O0gxjPNqXmKITYNBIkxT0rl5EfXyHE5pLUI0IIIcQGJEgKIYQQG5AgKe4pDT/i1enV7S6GEGKHkCAp7ik67SVCF0KIrSBBUtxTSlmbRycq210MIcQOIUFSCCGE2MBtBUml1P+hlHpDKfWKUurLSqnyde/9klLqjFLqpFLqk7ddUiGEEGKL3W5N8s+Bh7TWh4FTwC8BKKUeBL4AHAI+BfyaUsq8zXMJIYQQW+q2gqTW+s+01vH602eAsfXHnwV+V2sdaK3PA2eAo7dzLiGEEGKr3ck+yZ8D/vP641Hg8nXvTa+/9n2UUl9USj2vlHp+cXHxDhZHCCGEuD23zOullPoGMHSDt35Za/3H69v8MhADv3N1txtsf8Nx+1rrLwFfAnjiiSdkbL8QQoi7xi2DpNb64zd7Xyn1s8CPAB/TWl8NctPA+HWbjQEzP2ghhRBCiO1wu6NbPwX8T8BntNad6976E+ALSqmMUmoXsA/43u2cSwghhNhqt7uMwq8CGeDPlVIAz2it/77W+oRS6veA1+g1w/6C1jq5zXMJIYQQW+q2gqTWeu9N3vsV4Fdu5/hCCCHEdpKMO0IIIcQGJEgKIYQQG5AgKYQQQmxAgqQQQgixAQmSQgghdgyl1KfWF944o5T6n2+1vQRJIYQQO8L6Qhv/F/DDwIPAT68vyLEhCZJCCCF2iqPAGa31Oa11CPwuvQU5NiRBUgghxE7xjhffuOp2M+7cUS+88MKSUuridpfjOn3A0nYXYovslGuV67y/yHVursnNOvD06RNf/x8+caBvEw7tKqWev+75l9YX0oB3sfjGVXdVkNRa9293Ga6nlHpea/3EdpdjK+yUa5XrvL/Idd67tNaf2obTvuvFN6S5VQghxE7xHLBPKbVLKeUAX6C3IMeG7qqapBBCCLFZtNaxUuofAl8HTOA3tdYnbraPBMmb+9KtN7lv7JRrleu8v8h1indFa/1V4KvvdHv15jrJQgghhLie9EkKIYQQG5AgeQNKqZ9USp1QSqVKqSfe9t4vraczOqmU+uR2lfFOU0r9Y6XUFaXUS+tfn97uMt1J7zYV1b1KKXVBKfXq+vfw+Vvvce9QSv2mUmpBKXX8uteqSqk/V0qdXv+/sp1lvBM2uM77+vN5N5MgeWPHgc8DT1//4nr6oi8Ah4BPAb+2nubofvF/aq2PrH+94zb7u90PkorqHvdD69/D+2rKAPCv6X3urvc/A9/UWu8Dvrn+/F73r/n+64T79PN5t5MgeQNa69e11idv8NZngd/VWgda6/PAGXppjsTd7V2nohJ3H63108DK217+LPDb649/G/ixrSzTZtjgOsU2kSD57rzrlEb3mH+olHplvbnnnm+2us79/n27ngb+TCn1glLqi9tdmC0wqLWeBVj/f2Cby7OZ7tfP511txwZJpdQ3lFLHb/B1sxrGu05pdDe5xTX/OrAHOALMAv98O8t6h93T37d36QNa68foNS3/glLqQ9tdIHFH3M+fz7vajp0nqbX++A+w27tOaXQ3eafXrJT6DeBPN7k4W+me/r69G1rrmfX/F5RSX6bX1Pz0zfe6p80rpYa11rNKqWFgYbsLtBm01vNXH9+Hn8+72o6tSf6A/gT4glIqo5TaBewDvrfNZboj1n/BXPU5eoOX7hfvOhXVvUgplVNKFa4+Bj7B/fV9vJE/AX52/fHPAn+8jWXZNPf55/OutmNrkjejlPoc8K+AfuArSqmXtNaf1FqfUEr9HvAaEAO/oLVOtrOsd9A/U0ododcMeQH4r7e1NHfQD5KK6h41CHxZKQW9z/a/01p/bXuLdOcopf498BGgTyk1DfwvwP8O/J5S6ueBS8BPbl8J74wNrvMj9+vn824nGXeEEEKIDUhzqxBCCLEBCZJCCCHEBiRICiGEEBuQICmEEEJsQIKkEEIIsQEJkkIIIcQGJEgKIYQQG5AgKYQQQmzg/wfCeahL9V6L/AAAAABJRU5ErkJggg==\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots( figsize=(8, 8))\n", - "sc = ax.scatter(\n", - " embedding[:, 0],\n", - " embedding[:, 1],\n", - " c=Y_train.astype(int),\n", - " cmap=\"tab10\",\n", - " s=0.1,\n", - " alpha=0.5,\n", - " rasterized=True,\n", - ")\n", - "ax.axis('equal')\n", - "ax.set_title(\"UMAP in Tensorflow embedding\", fontsize=20)\n", - "plt.colorbar(sc, ax=ax);" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### plotting loss" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T21:00:34.519374Z", - "start_time": "2021-04-20T21:00:34.510578Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['loss', 'reconstruction_loss', 'umap_loss', 'val_loss', 'val_reconstruction_loss', 'val_umap_loss'])" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "embedder._history.keys()" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T21:00:34.850925Z", - "start_time": "2021-04-20T21:00:34.522071Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 0, 'Epoch')" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, axs = plt.subplots(ncols=2, figsize=(10,5))\n", - "ax = axs[0]\n", - "ax.plot(embedder._history['loss'])\n", - "ax.set_ylabel('Cross Entropy')\n", - "ax.set_xlabel('Epoch')\n", - "\n", - "ax = axs[1]\n", - "ax.plot(embedder._history['reconstruction_loss'], label='train')\n", - "ax.plot(embedder._history['val_reconstruction_loss'], label='valid')\n", - "ax.legend()\n", - "ax.set_ylabel('Cross Entropy')\n", - "ax.set_xlabel('Epoch')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python [conda env:umap_dev_new]", - "language": "python", - "name": "conda-env-umap_dev_new-py" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.8" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/notebooks/Parametric_UMAP/03.0-parametric-umap-mnist-with-reconstruction-and-autoencoding.ipynb b/notebooks/Parametric_UMAP/03.0-parametric-umap-mnist-with-reconstruction-and-autoencoding.ipynb new file mode 100644 index 00000000..e507899c --- /dev/null +++ b/notebooks/Parametric_UMAP/03.0-parametric-umap-mnist-with-reconstruction-and-autoencoding.ipynb @@ -0,0 +1,740 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Reconstruction with a custom network. \n", + "This notebook extends the last notebook to simultaneously train a decoder network, which translates from embedding back into dataspace. It also shows you how to use validation data for the reconstruction network during training." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "os.environ[\"KERAS_BACKEND\"] = \"torch\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### load data" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T20:48:49.457948Z", + "start_time": "2021-04-20T20:48:49.046475Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(10000, 784)" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from torchvision import datasets, transforms\n", + "\n", + "# Download and load the MNIST dataset\n", + "mnist_train = datasets.MNIST(root='./data', train=True, download=True, transform=transforms.ToTensor())\n", + "mnist_test = datasets.MNIST(root='./data', train=False, download=True, transform=transforms.ToTensor())\n", + "\n", + "# Convert PyTorch tensor to NumPy array\n", + "train_images = mnist_train.data.numpy()\n", + "train_labels = mnist_train.targets.numpy()\n", + "train_images = train_images.reshape((train_images.shape[0], -1))/255.\n", + "train_images.shape, train_labels.shape\n", + "\n", + "test_images = mnist_test.data.numpy()\n", + "test_images = test_images.reshape((test_images.shape[0], -1))/255.\n", + "test_images.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T20:48:56.364427Z", + "start_time": "2021-04-20T20:48:51.422923Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/n/groups/datta/tim_sainburg/conda_envs/parametricumap/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "from umap.parametric_umap import ParametricUMAP" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T20:48:56.369810Z", + "start_time": "2021-04-20T20:48:56.366115Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ParametricUMAP(parametric_reconstruction=True, validation_data=array([[0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.],\n", + " ...,\n", + " [0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.]]))\n", + "Fri May 17 09:20:46 2024 Construct fuzzy simplicial set\n", + "Fri May 17 09:20:46 2024 Finding Nearest Neighbors\n", + "Fri May 17 09:20:46 2024 Building RP forest with 17 trees\n", + "Fri May 17 09:20:52 2024 NN descent for 16 iterations\n", + "\t 1 / 16\n", + "\t 2 / 16\n", + "\t 3 / 16\n", + "\t 4 / 16\n", + "\tStopping threshold met -- exiting after 4 iterations\n", + "Fri May 17 09:21:05 2024 Finished Nearest Neighbor Search\n", + "Fri May 17 09:21:08 2024 Construct embedding\n", + "Epoch 1/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m79s\u001b[0m 41ms/step - loss: 0.4655 - reconstruction_loss: 0.2356 - umap_loss: 0.2299 - val_loss: 0.8380 - val_reconstruction_loss: 0.1861 - val_umap_loss: 0.6518\n", + "Epoch 2/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m79s\u001b[0m 42ms/step - loss: 0.3663 - reconstruction_loss: 0.1778 - umap_loss: 0.1885 - val_loss: 0.8776 - val_reconstruction_loss: 0.1814 - val_umap_loss: 0.6962\n", + "Epoch 3/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m80s\u001b[0m 42ms/step - loss: 0.3580 - reconstruction_loss: 0.1750 - umap_loss: 0.1830 - val_loss: 0.8898 - val_reconstruction_loss: 0.1810 - val_umap_loss: 0.7087\n", + "Epoch 4/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m77s\u001b[0m 40ms/step - loss: 0.3535 - reconstruction_loss: 0.1725 - umap_loss: 0.1810 - val_loss: 0.9125 - val_reconstruction_loss: 0.1784 - val_umap_loss: 0.7341\n", + "Epoch 5/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m85s\u001b[0m 44ms/step - loss: 0.3512 - reconstruction_loss: 0.1714 - umap_loss: 0.1798 - val_loss: 0.9326 - val_reconstruction_loss: 0.1805 - val_umap_loss: 0.7520\n", + "Epoch 6/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m74s\u001b[0m 39ms/step - loss: 0.3487 - reconstruction_loss: 0.1696 - umap_loss: 0.1791 - val_loss: 0.9379 - val_reconstruction_loss: 0.1776 - val_umap_loss: 0.7603\n", + "Epoch 7/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m74s\u001b[0m 39ms/step - loss: 0.3471 - reconstruction_loss: 0.1685 - umap_loss: 0.1786 - val_loss: 0.9423 - val_reconstruction_loss: 0.1766 - val_umap_loss: 0.7656\n", + "Epoch 8/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m73s\u001b[0m 39ms/step - loss: 0.3456 - reconstruction_loss: 0.1675 - umap_loss: 0.1781 - val_loss: 0.9527 - val_reconstruction_loss: 0.1805 - val_umap_loss: 0.7721\n", + "Epoch 9/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m93s\u001b[0m 49ms/step - loss: 0.3449 - reconstruction_loss: 0.1669 - umap_loss: 0.1779 - val_loss: 0.9518 - val_reconstruction_loss: 0.1773 - val_umap_loss: 0.7744\n", + "Epoch 10/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m89s\u001b[0m 47ms/step - loss: 0.3442 - reconstruction_loss: 0.1664 - umap_loss: 0.1777 - val_loss: 0.9489 - val_reconstruction_loss: 0.1752 - val_umap_loss: 0.7736\n", + "\u001b[1m1875/1875\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 1ms/step\n", + "Fri May 17 09:34:37 2024 Finished embedding\n" + ] + } + ], + "source": [ + "embedder = ParametricUMAP(\n", + " n_training_epochs=1,\n", + " n_components=2,\n", + " n_epochs = 50,\n", + " parametric_reconstruction= True,\n", + " autoencoder_loss = False,\n", + " validation_data=test_images,\n", + " verbose=True,\n", + ")\n", + "embedding = embedder.fit_transform(train_images)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### plot reconstructions" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T21:00:30.811242Z", + "start_time": "2021-04-20T21:00:30.173336Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step \n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step\n" + ] + } + ], + "source": [ + "test_images_recon = embedder.inverse_transform(embedder.transform(test_images))" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T21:00:31.109389Z", + "start_time": "2021-04-20T21:00:30.812977Z" + } + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T21:00:31.126659Z", + "start_time": "2021-04-20T21:00:31.110829Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.0, 1.0)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.min(test_images), np.max(test_images)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T21:00:33.312491Z", + "start_time": "2021-04-20T21:00:31.138264Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "nex = 10\n", + "fig, axs = plt.subplots(ncols=10, nrows=2, figsize=(nex, 2))\n", + "for i in range(nex):\n", + " axs[0, i].matshow(np.squeeze(test_images[i].reshape(28, 28, 1)), cmap=plt.cm.Greys)\n", + " axs[1, i].matshow(\n", + " np.squeeze(test_images_recon[i].reshape(28, 28, 1)),\n", + " cmap=plt.cm.Greys, vmin = 0, vmax = 1\n", + " )\n", + "for ax in axs.flatten():\n", + " ax.axis(\"off\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### plot results" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T21:00:33.316627Z", + "start_time": "2021-04-20T21:00:33.314255Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m60/60\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step\n" + ] + } + ], + "source": [ + "embedding = embedder.transform(train_images)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T21:00:33.327645Z", + "start_time": "2021-04-20T21:00:33.318156Z" + } + }, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T21:00:34.504597Z", + "start_time": "2021-04-20T21:00:33.330600Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots( figsize=(8, 8))\n", + "sc = ax.scatter(\n", + " embedding[:, 0],\n", + " embedding[:, 1],\n", + " c=train_labels.astype(int),\n", + " cmap=\"tab10\",\n", + " s=0.1,\n", + " alpha=0.5,\n", + " rasterized=True,\n", + ")\n", + "ax.axis('equal')\n", + "ax.set_title(\"Parametric UMAP embedding\", fontsize=20)\n", + "plt.colorbar(sc, ax=ax);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### plotting loss" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T21:00:34.519374Z", + "start_time": "2021-04-20T21:00:34.510578Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['loss', 'reconstruction_loss', 'umap_loss', 'val_loss', 'val_reconstruction_loss', 'val_umap_loss'])" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "embedder._history.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T21:00:34.850925Z", + "start_time": "2021-04-20T21:00:34.522071Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0, 'Epoch')" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axs = plt.subplots(ncols=2, figsize=(10,5))\n", + "ax = axs[0]\n", + "ax.plot(embedder._history['umap_loss'])\n", + "ax.plot(embedder._history['val_umap_loss'])\n", + "ax.set_ylabel('Cross Entropy')\n", + "ax.set_xlabel('Epoch')\n", + "\n", + "ax = axs[1]\n", + "ax.plot(embedder._history['reconstruction_loss'], label='train')\n", + "ax.plot(embedder._history['val_reconstruction_loss'], label='valid')\n", + "ax.legend()\n", + "ax.set_ylabel('Cross Entropy')\n", + "ax.set_xlabel('Epoch')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Repeat as autoencoder" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "autoencoder_embedder = ParametricUMAP(\n", + " n_training_epochs=1,\n", + " n_components=2,\n", + " n_epochs = 50,\n", + " parametric_reconstruction= True,\n", + " autoencoder_loss = True,\n", + " validation_data=test_images,\n", + " verbose=True,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2020-08-17T01:38:12.451321Z", + "start_time": "2020-08-17T01:25:21.456455Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ParametricUMAP(autoencoder_loss=True, parametric_reconstruction=True, validation_data=array([[0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.],\n", + " ...,\n", + " [0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.]]))\n", + "Fri May 17 09:34:42 2024 Construct fuzzy simplicial set\n", + "Fri May 17 09:34:43 2024 Finding Nearest Neighbors\n", + "Fri May 17 09:34:43 2024 Building RP forest with 17 trees\n", + "Fri May 17 09:34:44 2024 NN descent for 16 iterations\n", + "\t 1 / 16\n", + "\t 2 / 16\n", + "\t 3 / 16\n", + "\t 4 / 16\n", + "\tStopping threshold met -- exiting after 4 iterations\n", + "Fri May 17 09:34:46 2024 Finished Nearest Neighbor Search\n", + "Fri May 17 09:34:47 2024 Construct embedding\n", + "Epoch 1/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m78s\u001b[0m 41ms/step - loss: 0.4657 - reconstruction_loss: 0.2284 - umap_loss: 0.2373 - val_loss: 0.8433 - val_reconstruction_loss: 0.1776 - val_umap_loss: 0.6657\n", + "Epoch 2/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m78s\u001b[0m 41ms/step - loss: 0.3582 - reconstruction_loss: 0.1678 - umap_loss: 0.1904 - val_loss: 0.8641 - val_reconstruction_loss: 0.1733 - val_umap_loss: 0.6908\n", + "Epoch 3/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m74s\u001b[0m 39ms/step - loss: 0.3493 - reconstruction_loss: 0.1633 - umap_loss: 0.1860 - val_loss: 0.8793 - val_reconstruction_loss: 0.1718 - val_umap_loss: 0.7074\n", + "Epoch 4/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m75s\u001b[0m 39ms/step - loss: 0.3457 - reconstruction_loss: 0.1613 - umap_loss: 0.1844 - val_loss: 0.8843 - val_reconstruction_loss: 0.1711 - val_umap_loss: 0.7131\n", + "Epoch 5/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m73s\u001b[0m 39ms/step - loss: 0.3435 - reconstruction_loss: 0.1599 - umap_loss: 0.1836 - val_loss: 0.8893 - val_reconstruction_loss: 0.1701 - val_umap_loss: 0.7191\n", + "Epoch 6/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m74s\u001b[0m 39ms/step - loss: 0.3416 - reconstruction_loss: 0.1587 - umap_loss: 0.1828 - val_loss: 0.8917 - val_reconstruction_loss: 0.1704 - val_umap_loss: 0.7213\n", + "Epoch 7/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m73s\u001b[0m 39ms/step - loss: 0.3409 - reconstruction_loss: 0.1581 - umap_loss: 0.1828 - val_loss: 0.8914 - val_reconstruction_loss: 0.1697 - val_umap_loss: 0.7217\n", + "Epoch 8/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m74s\u001b[0m 39ms/step - loss: 0.3399 - reconstruction_loss: 0.1575 - umap_loss: 0.1823 - val_loss: 0.8890 - val_reconstruction_loss: 0.1695 - val_umap_loss: 0.7195\n", + "Epoch 9/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m73s\u001b[0m 39ms/step - loss: 0.3390 - reconstruction_loss: 0.1570 - umap_loss: 0.1820 - val_loss: 0.8956 - val_reconstruction_loss: 0.1700 - val_umap_loss: 0.7256\n", + "Epoch 10/10\n", + "\u001b[1m1905/1905\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m77s\u001b[0m 40ms/step - loss: 0.3387 - reconstruction_loss: 0.1567 - umap_loss: 0.1820 - val_loss: 0.8913 - val_reconstruction_loss: 0.1693 - val_umap_loss: 0.7220\n", + "\u001b[1m1875/1875\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 1ms/step\n", + "Fri May 17 09:47:23 2024 Finished embedding\n" + ] + } + ], + "source": [ + "embedding = autoencoder_embedder.fit_transform(train_images)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### plot reconstructions" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2020-08-17T01:38:33.807826Z", + "start_time": "2020-08-17T01:38:33.767248Z" + } + }, + "outputs": [], + "source": [ + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2020-08-17T01:38:34.213326Z", + "start_time": "2020-08-17T01:38:34.023668Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step \n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 2ms/step\n" + ] + } + ], + "source": [ + "test_images_recon = autoencoder_embedder.inverse_transform(autoencoder_embedder.transform(test_images))" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2020-08-17T01:38:34.945281Z", + "start_time": "2020-08-17T01:38:34.214974Z" + } + }, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'tf' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[18], line 6\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(nex):\n\u001b[1;32m 4\u001b[0m axs[\u001b[38;5;241m0\u001b[39m, i]\u001b[38;5;241m.\u001b[39mmatshow(np\u001b[38;5;241m.\u001b[39msqueeze(test_images[i]\u001b[38;5;241m.\u001b[39mreshape(\u001b[38;5;241m28\u001b[39m, \u001b[38;5;241m28\u001b[39m, \u001b[38;5;241m1\u001b[39m)), cmap\u001b[38;5;241m=\u001b[39mplt\u001b[38;5;241m.\u001b[39mcm\u001b[38;5;241m.\u001b[39mGreys)\n\u001b[1;32m 5\u001b[0m axs[\u001b[38;5;241m1\u001b[39m, i]\u001b[38;5;241m.\u001b[39mmatshow(\n\u001b[0;32m----> 6\u001b[0m \u001b[43mtf\u001b[49m\u001b[38;5;241m.\u001b[39mnn\u001b[38;5;241m.\u001b[39msigmoid(np\u001b[38;5;241m.\u001b[39msqueeze(test_images_recon[i]\u001b[38;5;241m.\u001b[39mreshape(\u001b[38;5;241m28\u001b[39m, \u001b[38;5;241m28\u001b[39m, \u001b[38;5;241m1\u001b[39m))),\n\u001b[1;32m 7\u001b[0m cmap\u001b[38;5;241m=\u001b[39mplt\u001b[38;5;241m.\u001b[39mcm\u001b[38;5;241m.\u001b[39mGreys,\n\u001b[1;32m 8\u001b[0m )\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m ax \u001b[38;5;129;01min\u001b[39;00m axs\u001b[38;5;241m.\u001b[39mflatten():\n\u001b[1;32m 10\u001b[0m ax\u001b[38;5;241m.\u001b[39maxis(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124moff\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mNameError\u001b[0m: name 'tf' is not defined" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "nex = 10\n", + "fig, axs = plt.subplots(ncols=10, nrows=2, figsize=(nex, 2))\n", + "for i in range(nex):\n", + " axs[0, i].matshow(np.squeeze(test_images[i].reshape(28, 28, 1)), cmap=plt.cm.Greys)\n", + " axs[1, i].matshow(\n", + " tf.nn.sigmoid(np.squeeze(test_images_recon[i].reshape(28, 28, 1))),\n", + " cmap=plt.cm.Greys,\n", + " )\n", + "for ax in axs.flatten():\n", + " ax.axis(\"off\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### plot results" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "end_time": "2020-08-17T01:38:12.856292Z", + "start_time": "2020-08-17T01:38:12.453257Z" + } + }, + "outputs": [], + "source": [ + "embedding = autoencoder_embedder.embedding_" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "end_time": "2020-08-17T01:38:13.014546Z", + "start_time": "2020-08-17T01:38:12.858420Z" + } + }, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "end_time": "2020-08-17T01:38:14.488114Z", + "start_time": "2020-08-17T01:38:13.015738Z" + } + }, + "outputs": [], + "source": [ + "fig, ax = plt.subplots( figsize=(8, 8))\n", + "sc = ax.scatter(\n", + " embedding[:, 0],\n", + " embedding[:, 1],\n", + " c=train_labels.astype(int),\n", + " cmap=\"tab10\",\n", + " s=0.1,\n", + " alpha=0.5,\n", + " rasterized=True,\n", + ")\n", + "ax.axis('equal')\n", + "ax.set_title(\"Parametric UMAP embedding\", fontsize=20)\n", + "plt.colorbar(sc, ax=ax);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### plotting loss" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "end_time": "2020-08-17T05:44:02.572881Z", + "start_time": "2020-08-17T05:44:02.530419Z" + } + }, + "outputs": [], + "source": [ + "embedder._history.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "end_time": "2020-08-17T05:44:02.906686Z", + "start_time": "2020-08-17T05:44:02.662782Z" + } + }, + "outputs": [], + "source": [ + "fig, axs = plt.subplots(ncols=2, figsize=(10,5))\n", + "ax = axs[0]\n", + "ax.plot(embedder._history['loss'])\n", + "ax.set_ylabel('Cross Entropy')\n", + "ax.set_xlabel('Epoch')\n", + "\n", + "ax = axs[1]\n", + "ax.plot(embedder._history['reconstruction_loss'], label='train')\n", + "ax.plot(embedder._history['val_reconstruction_loss'], label='valid')\n", + "ax.legend()\n", + "ax.set_ylabel('Cross Entropy')\n", + "ax.set_xlabel('Epoch')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "parametricumap", + "language": "python", + "name": "parametricumap" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/Parametric_UMAP/04.0-parametric-umap-mnist-embedding-convnet-with-autoencoder-loss.ipynb b/notebooks/Parametric_UMAP/04.0-parametric-umap-mnist-embedding-convnet-with-autoencoder-loss.ipynb deleted file mode 100644 index e2c079c1..00000000 --- a/notebooks/Parametric_UMAP/04.0-parametric-umap-mnist-embedding-convnet-with-autoencoder-loss.ipynb +++ /dev/null @@ -1,624 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Autoencoder + UMAP\n", - "This notebook extends the last notebook to train the embedding jointly on the reconstruction loss, and UMAP loss, resulting in slightly better reconstructions, and a slightly modified UMAP embedding. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### load data" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-17T01:25:15.362554Z", - "start_time": "2020-08-17T01:25:15.000091Z" - } - }, - "outputs": [], - "source": [ - "from tensorflow.keras.datasets import mnist\n", - "(train_images, Y_train), (test_images, Y_test) = mnist.load_data()\n", - "train_images = train_images.reshape((train_images.shape[0], -1))/255.\n", - "test_images = test_images.reshape((test_images.shape[0], -1))/255." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### define the encoder network" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import tensorflow as tf" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-17T01:25:16.085174Z", - "start_time": "2020-08-17T01:25:15.363839Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model: \"sequential\"\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "conv2d (Conv2D) (None, 14, 14, 64) 640 \n", - "_________________________________________________________________\n", - "conv2d_1 (Conv2D) (None, 7, 7, 128) 73856 \n", - "_________________________________________________________________\n", - "flatten (Flatten) (None, 6272) 0 \n", - "_________________________________________________________________\n", - "dense (Dense) (None, 512) 3211776 \n", - "_________________________________________________________________\n", - "dense_1 (Dense) (None, 512) 262656 \n", - "_________________________________________________________________\n", - "dense_2 (Dense) (None, 2) 1026 \n", - "=================================================================\n", - "Total params: 3,549,954\n", - "Trainable params: 3,549,954\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ], - "source": [ - "dims = (28,28, 1)\n", - "n_components = 2\n", - "encoder = tf.keras.Sequential([\n", - " tf.keras.layers.InputLayer(input_shape=dims),\n", - " tf.keras.layers.Conv2D(\n", - " filters=64, kernel_size=3, strides=(2, 2), activation=\"relu\", padding=\"same\"\n", - " ),\n", - " tf.keras.layers.Conv2D(\n", - " filters=128, kernel_size=3, strides=(2, 2), activation=\"relu\", padding=\"same\"\n", - " ),\n", - " tf.keras.layers.Flatten(),\n", - " tf.keras.layers.Dense(units=512, activation=\"relu\"),\n", - " tf.keras.layers.Dense(units=512, activation=\"relu\"),\n", - " tf.keras.layers.Dense(units=n_components),\n", - "])\n", - "encoder.summary()" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-17T01:25:16.237219Z", - "start_time": "2020-08-17T01:25:16.087260Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model: \"sequential_1\"\n", - "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", - "=================================================================\n", - "dense_3 (Dense) (None, 512) 1536 \n", - "_________________________________________________________________\n", - "dense_4 (Dense) (None, 512) 262656 \n", - "_________________________________________________________________\n", - "dense_5 (Dense) (None, 6272) 3217536 \n", - "_________________________________________________________________\n", - "reshape (Reshape) (None, 7, 7, 128) 0 \n", - "_________________________________________________________________\n", - "up_sampling2d (UpSampling2D) (None, 14, 14, 128) 0 \n", - "_________________________________________________________________\n", - "conv2d_2 (Conv2D) (None, 14, 14, 64) 73792 \n", - "_________________________________________________________________\n", - "up_sampling2d_1 (UpSampling2 (None, 28, 28, 64) 0 \n", - "_________________________________________________________________\n", - "conv2d_3 (Conv2D) (None, 28, 28, 32) 18464 \n", - "=================================================================\n", - "Total params: 3,573,984\n", - "Trainable params: 3,573,984\n", - "Non-trainable params: 0\n", - "_________________________________________________________________\n" - ] - } - ], - "source": [ - "decoder = tf.keras.Sequential([\n", - " tf.keras.layers.InputLayer(input_shape=(n_components)),\n", - " tf.keras.layers.Dense(units=512, activation=\"relu\"),\n", - " tf.keras.layers.Dense(units=7 * 7 * 256, activation=\"relu\"),\n", - " tf.keras.layers.Reshape(target_shape=(7, 7, 256)),\n", - " tf.keras.layers.Conv2DTranspose(\n", - " filters=128, kernel_size=3, strides=(2, 2), padding=\"SAME\", activation=\"relu\"\n", - " ),\n", - " tf.keras.layers.Conv2DTranspose(\n", - " filters=64, kernel_size=3, strides=(2, 2), padding=\"SAME\", activation=\"relu\"\n", - " ),\n", - " tf.keras.layers.Conv2DTranspose(\n", - " filters=1, kernel_size=3, strides=(1, 1), padding=\"SAME\", activation=\"sigmoid\"\n", - " )\n", - "])\n", - "decoder.summary()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-16T22:12:46.790121Z", - "start_time": "2020-08-16T22:12:46.759185Z" - } - }, - "source": [ - "### create parametric umap model" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-17T01:25:21.373572Z", - "start_time": "2020-08-17T01:25:16.238681Z" - } - }, - "outputs": [], - "source": [ - "from umap.parametric_umap import ParametricUMAP" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-17T01:25:21.455022Z", - "start_time": "2020-08-17T01:25:21.420662Z" - } - }, - "outputs": [], - "source": [ - "embedder = ParametricUMAP(\n", - " encoder=encoder,\n", - " decoder=decoder,\n", - " dims=dims,\n", - " n_training_epochs=1,\n", - " n_components=n_components,\n", - " parametric_reconstruction= True,\n", - " autoencoder_loss = True,\n", - " reconstruction_validation=test_images,\n", - " verbose=True,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-17T01:38:12.451321Z", - "start_time": "2020-08-17T01:25:21.456455Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ParametricUMAP(autoencoder_loss=True, n_training_epochs=5,\n", - " optimizer=,\n", - " parametric_reconstruction=True,\n", - " reconstruction_validation=array([[0., 0., 0., ..., 0., 0., 0.],\n", - " [0., 0., 0., ..., 0., 0., 0.],\n", - " [0., 0., 0., ..., 0., 0., 0.],\n", - " ...,\n", - " [0., 0., 0., ..., 0., 0., 0.],\n", - " [0., 0., 0., ..., 0., 0., 0.],\n", - " [0., 0., 0., ..., 0., 0., 0.]]))\n", - "Construct fuzzy simplicial set\n", - "Sun Aug 16 18:25:21 2020 Finding Nearest Neighbors\n", - "Sun Aug 16 18:25:21 2020 Building RP forest with 17 trees\n", - "Sun Aug 16 18:25:25 2020 parallel NN descent for 16 iterations\n", - "\t 0 / 16\n", - "\t 1 / 16\n", - "\t 2 / 16\n", - "\t 3 / 16\n", - "\t 4 / 16\n", - "Sun Aug 16 18:25:37 2020 Finished Nearest Neighbor Search\n", - "Sun Aug 16 18:25:40 2020 Construct embedding\n", - "Epoch 1/50\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.4622 - reconstruction_loss: 0.2297 - umap_loss: 0.2325 - val_loss: 0.2012 - val_reconstruction_loss: 0.2012 - val_umap_loss: 0.0000e+00\n", - "Epoch 2/50\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.3612 - reconstruction_loss: 0.1873 - umap_loss: 0.1739 - val_loss: 0.1897 - val_reconstruction_loss: 0.1897 - val_umap_loss: 0.0000e+00\n", - "Epoch 3/50\n", - "724/724 [==============================] - 13s 18ms/step - loss: 0.3373 - reconstruction_loss: 0.1791 - umap_loss: 0.1581 - val_loss: 0.1834 - val_reconstruction_loss: 0.1834 - val_umap_loss: 0.0000e+00\n", - "Epoch 4/50\n", - "724/724 [==============================] - 13s 18ms/step - loss: 0.3224 - reconstruction_loss: 0.1739 - umap_loss: 0.1484 - val_loss: 0.1802 - val_reconstruction_loss: 0.1802 - val_umap_loss: 0.0000e+00\n", - "Epoch 5/50\n", - "724/724 [==============================] - 14s 20ms/step - loss: 0.3112 - reconstruction_loss: 0.1701 - umap_loss: 0.1411 - val_loss: 0.1777 - val_reconstruction_loss: 0.1777 - val_umap_loss: 0.0000e+00\n", - "Epoch 6/50\n", - "724/724 [==============================] - 13s 18ms/step - loss: 0.3052 - reconstruction_loss: 0.1679 - umap_loss: 0.1373 - val_loss: 0.1759 - val_reconstruction_loss: 0.1759 - val_umap_loss: 0.0000e+00\n", - "Epoch 7/50\n", - "724/724 [==============================] - 13s 18ms/step - loss: 0.2997 - reconstruction_loss: 0.1661 - umap_loss: 0.1336 - val_loss: 0.1752 - val_reconstruction_loss: 0.1752 - val_umap_loss: 0.0000e+00\n", - "Epoch 8/50\n", - "724/724 [==============================] - 14s 20ms/step - loss: 0.2966 - reconstruction_loss: 0.1648 - umap_loss: 0.1318 - val_loss: 0.1735 - val_reconstruction_loss: 0.1735 - val_umap_loss: 0.0000e+00\n", - "Epoch 9/50\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.2938 - reconstruction_loss: 0.1638 - umap_loss: 0.1300 - val_loss: 0.1735 - val_reconstruction_loss: 0.1735 - val_umap_loss: 0.0000e+00\n", - "Epoch 10/50\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.2911 - reconstruction_loss: 0.1630 - umap_loss: 0.1281 - val_loss: 0.1724 - val_reconstruction_loss: 0.1724 - val_umap_loss: 0.0000e+00\n", - "Epoch 11/50\n", - "724/724 [==============================] - 13s 18ms/step - loss: 0.2888 - reconstruction_loss: 0.1623 - umap_loss: 0.1265 - val_loss: 0.1724 - val_reconstruction_loss: 0.1724 - val_umap_loss: 0.0000e+00\n", - "Epoch 12/50\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.2879 - reconstruction_loss: 0.1618 - umap_loss: 0.1260 - val_loss: 0.1715 - val_reconstruction_loss: 0.1715 - val_umap_loss: 0.0000e+00\n", - "Epoch 13/50\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.2864 - reconstruction_loss: 0.1613 - umap_loss: 0.1250 - val_loss: 0.1710 - val_reconstruction_loss: 0.1710 - val_umap_loss: 0.0000e+00\n", - "Epoch 14/50\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.2846 - reconstruction_loss: 0.1607 - umap_loss: 0.1239 - val_loss: 0.1706 - val_reconstruction_loss: 0.1706 - val_umap_loss: 0.0000e+00\n", - "Epoch 15/50\n", - "724/724 [==============================] - 15s 21ms/step - loss: 0.2843 - reconstruction_loss: 0.1606 - umap_loss: 0.1237 - val_loss: 0.1707 - val_reconstruction_loss: 0.1707 - val_umap_loss: 0.0000e+00\n", - "Epoch 16/50\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.2833 - reconstruction_loss: 0.1602 - umap_loss: 0.1231 - val_loss: 0.1706 - val_reconstruction_loss: 0.1706 - val_umap_loss: 0.0000e+00\n", - "Epoch 17/50\n", - "724/724 [==============================] - 14s 20ms/step - loss: 0.2833 - reconstruction_loss: 0.1601 - umap_loss: 0.1232 - val_loss: 0.1703 - val_reconstruction_loss: 0.1703 - val_umap_loss: 0.0000e+00\n", - "Epoch 18/50\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.2821 - reconstruction_loss: 0.1595 - umap_loss: 0.1226 - val_loss: 0.1698 - val_reconstruction_loss: 0.1698 - val_umap_loss: 0.0000e+00\n", - "Epoch 19/50\n", - "724/724 [==============================] - 14s 20ms/step - loss: 0.2806 - reconstruction_loss: 0.1591 - umap_loss: 0.1215 - val_loss: 0.1699 - val_reconstruction_loss: 0.1699 - val_umap_loss: 0.0000e+00\n", - "Epoch 20/50\n", - "724/724 [==============================] - 15s 20ms/step - loss: 0.2808 - reconstruction_loss: 0.1590 - umap_loss: 0.1219 - val_loss: 0.1697 - val_reconstruction_loss: 0.1697 - val_umap_loss: 0.0000e+00\n", - "Epoch 21/50\n", - "724/724 [==============================] - 15s 20ms/step - loss: 0.2803 - reconstruction_loss: 0.1589 - umap_loss: 0.1214 - val_loss: 0.1697 - val_reconstruction_loss: 0.1697 - val_umap_loss: 0.0000e+00\n", - "Epoch 22/50\n", - "724/724 [==============================] - 15s 20ms/step - loss: 0.2797 - reconstruction_loss: 0.1586 - umap_loss: 0.1211 - val_loss: 0.1695 - val_reconstruction_loss: 0.1695 - val_umap_loss: 0.0000e+00\n", - "Epoch 23/50\n", - "724/724 [==============================] - 14s 20ms/step - loss: 0.2791 - reconstruction_loss: 0.1584 - umap_loss: 0.1208 - val_loss: 0.1693 - val_reconstruction_loss: 0.1693 - val_umap_loss: 0.0000e+00\n", - "Epoch 24/50\n", - "724/724 [==============================] - 17s 23ms/step - loss: 0.2789 - reconstruction_loss: 0.1581 - umap_loss: 0.1208 - val_loss: 0.1689 - val_reconstruction_loss: 0.1689 - val_umap_loss: 0.0000e+00\n", - "Epoch 25/50\n", - "724/724 [==============================] - 16s 21ms/step - loss: 0.2784 - reconstruction_loss: 0.1580 - umap_loss: 0.1204 - val_loss: 0.1710 - val_reconstruction_loss: 0.1710 - val_umap_loss: 0.0000e+00\n", - "Epoch 26/50\n", - "724/724 [==============================] - 16s 22ms/step - loss: 0.2779 - reconstruction_loss: 0.1578 - umap_loss: 0.1201 - val_loss: 0.1691 - val_reconstruction_loss: 0.1691 - val_umap_loss: 0.0000e+00\n", - "Epoch 27/50\n", - "724/724 [==============================] - 16s 22ms/step - loss: 0.2780 - reconstruction_loss: 0.1578 - umap_loss: 0.1202 - val_loss: 0.1688 - val_reconstruction_loss: 0.1688 - val_umap_loss: 0.0000e+00\n", - "Epoch 28/50\n", - "724/724 [==============================] - 16s 22ms/step - loss: 0.2764 - reconstruction_loss: 0.1571 - umap_loss: 0.1192 - val_loss: 0.1686 - val_reconstruction_loss: 0.1686 - val_umap_loss: 0.0000e+00\n", - "Epoch 29/50\n", - "724/724 [==============================] - 16s 22ms/step - loss: 0.2774 - reconstruction_loss: 0.1574 - umap_loss: 0.1200 - val_loss: 0.1685 - val_reconstruction_loss: 0.1685 - val_umap_loss: 0.0000e+00\n", - "Epoch 30/50\n", - "724/724 [==============================] - 16s 22ms/step - loss: 0.2766 - reconstruction_loss: 0.1570 - umap_loss: 0.1196 - val_loss: 0.1682 - val_reconstruction_loss: 0.1682 - val_umap_loss: 0.0000e+00\n", - "Epoch 31/50\n", - "724/724 [==============================] - 16s 23ms/step - loss: 0.2763 - reconstruction_loss: 0.1569 - umap_loss: 0.1194 - val_loss: 0.1685 - val_reconstruction_loss: 0.1685 - val_umap_loss: 0.0000e+00\n", - "Epoch 32/50\n", - "724/724 [==============================] - 16s 23ms/step - loss: 0.2758 - reconstruction_loss: 0.1566 - umap_loss: 0.1192 - val_loss: 0.1695 - val_reconstruction_loss: 0.1695 - val_umap_loss: 0.0000e+00\n", - "Epoch 33/50\n", - "724/724 [==============================] - 16s 22ms/step - loss: 0.2756 - reconstruction_loss: 0.1565 - umap_loss: 0.1191 - val_loss: 0.1693 - val_reconstruction_loss: 0.1693 - val_umap_loss: 0.0000e+00\n", - "Epoch 34/50\n", - "724/724 [==============================] - 16s 22ms/step - loss: 0.2748 - reconstruction_loss: 0.1562 - umap_loss: 0.1186 - val_loss: 0.1678 - val_reconstruction_loss: 0.1678 - val_umap_loss: 0.0000e+00\n", - "Epoch 35/50\n", - "724/724 [==============================] - 16s 22ms/step - loss: 0.2750 - reconstruction_loss: 0.1562 - umap_loss: 0.1188 - val_loss: 0.1676 - val_reconstruction_loss: 0.1676 - val_umap_loss: 0.0000e+00\n", - "Epoch 36/50\n", - "724/724 [==============================] - 16s 22ms/step - loss: 0.2740 - reconstruction_loss: 0.1560 - umap_loss: 0.1181 - val_loss: 0.1679 - val_reconstruction_loss: 0.1679 - val_umap_loss: 0.0000e+00\n", - "Epoch 37/50\n", - "724/724 [==============================] - 17s 23ms/step - loss: 0.2750 - reconstruction_loss: 0.1561 - umap_loss: 0.1189 - val_loss: 0.1680 - val_reconstruction_loss: 0.1680 - val_umap_loss: 0.0000e+00\n", - "Epoch 38/50\n", - "724/724 [==============================] - 16s 22ms/step - loss: 0.2743 - reconstruction_loss: 0.1557 - umap_loss: 0.1186 - val_loss: 0.1687 - val_reconstruction_loss: 0.1687 - val_umap_loss: 0.0000e+00\n", - "Epoch 39/50\n", - "724/724 [==============================] - 16s 22ms/step - loss: 0.2738 - reconstruction_loss: 0.1555 - umap_loss: 0.1182 - val_loss: 0.1679 - val_reconstruction_loss: 0.1679 - val_umap_loss: 0.0000e+00\n", - "Epoch 40/50\n", - "724/724 [==============================] - 16s 22ms/step - loss: 0.2738 - reconstruction_loss: 0.1554 - umap_loss: 0.1184 - val_loss: 0.1681 - val_reconstruction_loss: 0.1681 - val_umap_loss: 0.0000e+00\n", - "Epoch 41/50\n", - "724/724 [==============================] - 15s 21ms/step - loss: 0.2731 - reconstruction_loss: 0.1551 - umap_loss: 0.1179 - val_loss: 0.1671 - val_reconstruction_loss: 0.1671 - val_umap_loss: 0.0000e+00\n", - "Epoch 42/50\n", - "724/724 [==============================] - 16s 22ms/step - loss: 0.2729 - reconstruction_loss: 0.1552 - umap_loss: 0.1177 - val_loss: 0.1676 - val_reconstruction_loss: 0.1676 - val_umap_loss: 0.0000e+00\n", - "Epoch 43/50\n", - "724/724 [==============================] - 15s 21ms/step - loss: 0.2733 - reconstruction_loss: 0.1553 - umap_loss: 0.1180 - val_loss: 0.1670 - val_reconstruction_loss: 0.1670 - val_umap_loss: 0.0000e+00\n", - "Epoch 44/50\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.2729 - reconstruction_loss: 0.1550 - umap_loss: 0.1178 - val_loss: 0.1671 - val_reconstruction_loss: 0.1671 - val_umap_loss: 0.0000e+00\n", - "Epoch 45/50\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.2726 - reconstruction_loss: 0.1549 - umap_loss: 0.1177 - val_loss: 0.1668 - val_reconstruction_loss: 0.1668 - val_umap_loss: 0.0000e+00\n", - "Epoch 46/50\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.2720 - reconstruction_loss: 0.1547 - umap_loss: 0.1172 - val_loss: 0.1673 - val_reconstruction_loss: 0.1673 - val_umap_loss: 0.0000e+00\n", - "Epoch 47/50\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.2719 - reconstruction_loss: 0.1547 - umap_loss: 0.1171 - val_loss: 0.1667 - val_reconstruction_loss: 0.1667 - val_umap_loss: 0.0000e+00\n", - "Epoch 48/50\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.2719 - reconstruction_loss: 0.1545 - umap_loss: 0.1173 - val_loss: 0.1663 - val_reconstruction_loss: 0.1663 - val_umap_loss: 0.0000e+00\n", - "Epoch 49/50\n", - "724/724 [==============================] - 13s 19ms/step - loss: 0.2718 - reconstruction_loss: 0.1544 - umap_loss: 0.1173 - val_loss: 0.1668 - val_reconstruction_loss: 0.1668 - val_umap_loss: 0.0000e+00\n", - "Epoch 50/50\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.2722 - reconstruction_loss: 0.1544 - umap_loss: 0.1177 - val_loss: 0.1660 - val_reconstruction_loss: 0.1660 - val_umap_loss: 0.0000e+00\n", - "1875/1875 [==============================] - 2s 816us/step\n", - "Sun Aug 16 18:38:12 2020 Finished embedding\n" - ] - } - ], - "source": [ - "embedding = embedder.fit_transform(train_images)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### plot reconstructions" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-17T01:38:33.807826Z", - "start_time": "2020-08-17T01:38:33.767248Z" - } - }, - "outputs": [], - "source": [ - "import numpy as np" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-17T01:38:34.213326Z", - "start_time": "2020-08-17T01:38:34.023668Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "10/10 [==============================] - 0s 2ms/step\n", - "10/10 [==============================] - 0s 1ms/step\n" - ] - } - ], - "source": [ - "test_images_recon = embedder.inverse_transform(embedder.transform(test_images))" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-17T01:38:34.945281Z", - "start_time": "2020-08-17T01:38:34.214974Z" - } - }, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "nex = 10\n", - "fig, axs = plt.subplots(ncols=10, nrows=2, figsize=(nex, 2))\n", - "for i in range(nex):\n", - " axs[0, i].matshow(np.squeeze(test_images[i].reshape(28, 28, 1)), cmap=plt.cm.Greys)\n", - " axs[1, i].matshow(\n", - " tf.nn.sigmoid(np.squeeze(test_images_recon[i].reshape(28, 28, 1))),\n", - " cmap=plt.cm.Greys,\n", - " )\n", - "for ax in axs.flatten():\n", - " ax.axis(\"off\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### plot results" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-17T01:38:12.856292Z", - "start_time": "2020-08-17T01:38:12.453257Z" - } - }, - "outputs": [], - "source": [ - "embedding = embedder.embedding_" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-17T01:38:13.014546Z", - "start_time": "2020-08-17T01:38:12.858420Z" - } - }, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-17T01:38:14.488114Z", - "start_time": "2020-08-17T01:38:13.015738Z" - } - }, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots( figsize=(8, 8))\n", - "sc = ax.scatter(\n", - " embedding[:, 0],\n", - " embedding[:, 1],\n", - " c=Y_train.astype(int),\n", - " cmap=\"tab10\",\n", - " s=0.1,\n", - " alpha=0.5,\n", - " rasterized=True,\n", - ")\n", - "ax.axis('equal')\n", - "ax.set_title(\"UMAP in Tensorflow embedding\", fontsize=20)\n", - "plt.colorbar(sc, ax=ax);" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### plotting loss" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-17T05:44:02.572881Z", - "start_time": "2020-08-17T05:44:02.530419Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['loss', 'reconstruction_loss', 'umap_loss', 'val_loss', 'val_reconstruction_loss', 'val_umap_loss'])" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "embedder._history.keys()" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-17T05:44:02.906686Z", - "start_time": "2020-08-17T05:44:02.662782Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 0, 'Epoch')" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, axs = plt.subplots(ncols=2, figsize=(10,5))\n", - "ax = axs[0]\n", - "ax.plot(embedder._history['loss'])\n", - "ax.set_ylabel('Cross Entropy')\n", - "ax.set_xlabel('Epoch')\n", - "\n", - "ax = axs[1]\n", - "ax.plot(embedder._history['reconstruction_loss'], label='train')\n", - "ax.plot(embedder._history['val_reconstruction_loss'], label='valid')\n", - "ax.legend()\n", - "ax.set_ylabel('Cross Entropy')\n", - "ax.set_xlabel('Epoch')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "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": "3.9.1" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/notebooks/Parametric_UMAP/04.0-parametric-umap-with-callback.ipynb b/notebooks/Parametric_UMAP/04.0-parametric-umap-with-callback.ipynb new file mode 100644 index 00000000..51f805f5 --- /dev/null +++ b/notebooks/Parametric_UMAP/04.0-parametric-umap-with-callback.ipynb @@ -0,0 +1,357 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Adding a custom callback for keras during embedding\n", + "This notebook shows you how to use custom callbacks during training. In this example, we use early stopping to train the network until loss reaches some desired plateau. " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "os.environ[\"KERAS_BACKEND\"] = \"torch\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### load data" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2020-08-17T06:03:48.706532Z", + "start_time": "2020-08-17T06:03:48.366292Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "((60000, 784), (60000,))" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from torchvision import datasets, transforms\n", + "\n", + "# Download and load the MNIST dataset\n", + "mnist_train = datasets.MNIST(root='./data', train=True, download=True, transform=transforms.ToTensor())\n", + "\n", + "# Convert PyTorch tensor to NumPy array\n", + "train_images = mnist_train.data.numpy()\n", + "train_labels = mnist_train.targets.numpy()\n", + "train_images = train_images.reshape((train_images.shape[0], -1))/255.\n", + "train_images.shape, train_labels.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2020-08-16T22:12:46.790121Z", + "start_time": "2020-08-16T22:12:46.759185Z" + } + }, + "source": [ + "### create parametric umap model" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import keras" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2020-08-17T06:03:53.254841Z", + "start_time": "2020-08-17T06:03:48.708919Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/n/groups/datta/tim_sainburg/conda_envs/parametricumap/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "from umap.parametric_umap import ParametricUMAP" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2020-08-17T06:03:53.292492Z", + "start_time": "2020-08-17T06:03:53.256551Z" + } + }, + "outputs": [], + "source": [ + "keras_fit_kwargs = {\"callbacks\": [\n", + " keras.callbacks.EarlyStopping(\n", + " monitor='loss',\n", + " min_delta=10**-2,\n", + " patience=10,\n", + " verbose=1,\n", + " )\n", + "]}" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "ExecuteTime": { + "end_time": "2020-08-17T06:03:53.323141Z", + "start_time": "2020-08-17T06:03:53.293677Z" + } + }, + "outputs": [], + "source": [ + "embedder = ParametricUMAP(\n", + " verbose=True,\n", + " keras_fit_kwargs = keras_fit_kwargs,\n", + " n_training_epochs=5\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "ExecuteTime": { + "end_time": "2020-08-17T06:08:43.351200Z", + "start_time": "2020-08-17T06:03:53.324273Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ParametricUMAP(keras_fit_kwargs={'callbacks': []}, n_training_epochs=5)\n", + "Thu May 16 17:16:46 2024 Construct fuzzy simplicial set\n", + "Thu May 16 17:16:46 2024 Finding Nearest Neighbors\n", + "Thu May 16 17:16:46 2024 Building RP forest with 17 trees\n", + "Thu May 16 17:16:51 2024 NN descent for 16 iterations\n", + "\t 1 / 16\n", + "\t 2 / 16\n", + "\t 3 / 16\n", + "\t 4 / 16\n", + "\tStopping threshold met -- exiting after 4 iterations\n", + "Thu May 16 17:17:05 2024 Finished Nearest Neighbor Search\n", + "Thu May 16 17:17:07 2024 Construct embedding\n", + "Epoch 1/50\n", + "\u001b[1m7797/7797\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m419s\u001b[0m 53ms/step - loss: 0.2039\n", + "Epoch 2/50\n", + "\u001b[1m7797/7797\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m343s\u001b[0m 44ms/step - loss: 0.1797\n", + "Epoch 3/50\n", + "\u001b[1m7797/7797\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m319s\u001b[0m 41ms/step - loss: 0.1782\n", + "Epoch 4/50\n", + "\u001b[1m4263/7797\u001b[0m \u001b[32m━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━━━\u001b[0m \u001b[1m2:25\u001b[0m 41ms/step - loss: 0.1775" + ] + } + ], + "source": [ + "embedding = embedder.fit_transform(train_images)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### plot results" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "ExecuteTime": { + "end_time": "2020-08-17T06:08:43.992558Z", + "start_time": "2020-08-17T06:08:43.352974Z" + } + }, + "outputs": [], + "source": [ + "embedding = embedder.embedding_" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "ExecuteTime": { + "end_time": "2020-08-17T06:08:44.165383Z", + "start_time": "2020-08-17T06:08:43.994231Z" + } + }, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2020-08-17T06:08:45.670161Z", + "start_time": "2020-08-17T06:08:44.166884Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots( figsize=(8, 8))\n", + "sc = ax.scatter(\n", + " embedding[:, 0],\n", + " embedding[:, 1],\n", + " c=train_labels.astype(int),\n", + " cmap=\"tab10\",\n", + " s=0.1,\n", + " alpha=0.5,\n", + " rasterized=True,\n", + ")\n", + "ax.axis('equal')\n", + "ax.set_title(\"Parametric UMAP embedding\", fontsize=20)\n", + "plt.colorbar(sc, ax=ax);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### plotting loss" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "ExecuteTime": { + "end_time": "2020-08-17T06:08:45.713308Z", + "start_time": "2020-08-17T06:08:45.671857Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['loss'])" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "embedder._history.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2020-08-17T06:08:46.317803Z", + "start_time": "2020-08-17T06:08:45.714605Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0, 'Epoch')" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(figsize=(10,5))\n", + "ax.plot(embedder._history['loss'])\n", + "ax.set_ylabel('Cross Entropy')\n", + "ax.set_xlabel('Epoch')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "parametricumap", + "language": "python", + "name": "parametricumap" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/Parametric_UMAP/05.0-parametric-umap-global-loss.ipynb b/notebooks/Parametric_UMAP/05.0-parametric-umap-global-loss.ipynb new file mode 100644 index 00000000..374e41e7 --- /dev/null +++ b/notebooks/Parametric_UMAP/05.0-parametric-umap-global-loss.ipynb @@ -0,0 +1,1070 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Custom embedder for parametric UMAP. \n", + "This notebook shows you how to run a UMAP projection with a custom embedder. " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T16:13:15.369321Z", + "start_time": "2021-04-20T16:13:15.358876Z" + } + }, + "outputs": [], + "source": [ + "import os\n", + "os.environ[\"KERAS_BACKEND\"] = \"torch\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### load data" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T16:13:16.917685Z", + "start_time": "2021-04-20T16:13:16.592628Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "((60000, 784), (60000,))" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from torchvision import datasets, transforms\n", + "\n", + "# Download and load the MNIST dataset\n", + "mnist_train = datasets.MNIST(root='./data', train=True, download=True, transform=transforms.ToTensor())\n", + "\n", + "# Convert PyTorch tensor to NumPy array\n", + "train_images = mnist_train.data.numpy()\n", + "train_labels = mnist_train.targets.numpy()\n", + "train_images = train_images.reshape((train_images.shape[0], -1))/255.\n", + "train_images.shape, train_labels.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2020-08-16T22:12:46.790121Z", + "start_time": "2020-08-16T22:12:46.759185Z" + } + }, + "source": [ + "### create parametric umap model" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T16:13:19.859722Z", + "start_time": "2021-04-20T16:13:16.919201Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/n/groups/datta/tim_sainburg/conda_envs/parametricumap/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "from umap.parametric_umap import ParametricUMAP" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T16:13:19.864293Z", + "start_time": "2021-04-20T16:13:19.861240Z" + } + }, + "outputs": [], + "source": [ + "embedder = ParametricUMAP(\n", + " global_correlation_loss_weight = 0.1, \n", + " n_epochs=25,\n", + " verbose=True\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T16:18:35.426794Z", + "start_time": "2021-04-20T16:13:19.865644Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ParametricUMAP(global_correlation_loss_weight=0.1)\n", + "Fri May 17 09:19:33 2024 Construct fuzzy simplicial set\n", + "Fri May 17 09:19:33 2024 Finding Nearest Neighbors\n", + "Fri May 17 09:19:33 2024 Building RP forest with 17 trees\n", + "Fri May 17 09:19:37 2024 NN descent for 16 iterations\n", + "\t 1 / 16\n", + "\t 2 / 16\n", + "\t 3 / 16\n", + "\t 4 / 16\n", + "\tStopping threshold met -- exiting after 4 iterations\n", + "Fri May 17 09:19:48 2024 Finished Nearest Neighbor Search\n", + "Fri May 17 09:19:51 2024 Construct embedding\n", + "Epoch 1/10\n", + "\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m30s\u001b[0m 31ms/step - global_correlation_loss: -0.0656 - loss: 0.1898 - umap_loss: 0.2553\n", + "Epoch 2/10\n", + "\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m26s\u001b[0m 28ms/step - global_correlation_loss: -0.0632 - loss: 0.1429 - umap_loss: 0.2061\n", + "Epoch 3/10\n", + "\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m25s\u001b[0m 28ms/step - global_correlation_loss: -0.0619 - loss: 0.1361 - umap_loss: 0.1980\n", + "Epoch 4/10\n", + "\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m25s\u001b[0m 27ms/step - global_correlation_loss: -0.0611 - loss: 0.1329 - umap_loss: 0.1941\n", + "Epoch 5/10\n", + "\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m26s\u001b[0m 28ms/step - global_correlation_loss: -0.0606 - loss: 0.1312 - umap_loss: 0.1918\n", + "Epoch 6/10\n", + "\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m24s\u001b[0m 26ms/step - global_correlation_loss: -0.0604 - loss: 0.1295 - umap_loss: 0.1900\n", + "Epoch 7/10\n", + "\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m25s\u001b[0m 27ms/step - global_correlation_loss: -0.0600 - loss: 0.1288 - umap_loss: 0.1888\n", + "Epoch 8/10\n", + "\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m26s\u001b[0m 28ms/step - global_correlation_loss: -0.0598 - loss: 0.1280 - umap_loss: 0.1878\n", + "Epoch 9/10\n", + "\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m26s\u001b[0m 28ms/step - global_correlation_loss: -0.0595 - loss: 0.1276 - umap_loss: 0.1871\n", + "Epoch 10/10\n", + "\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m25s\u001b[0m 27ms/step - global_correlation_loss: -0.0593 - loss: 0.1273 - umap_loss: 0.1866\n", + "\u001b[1m1875/1875\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 1ms/step\n", + "Fri May 17 09:24:12 2024 Finished embedding\n" + ] + } + ], + "source": [ + "embedding = embedder.fit_transform(train_images)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['global_correlation_loss', 'loss', 'umap_loss'])" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "embedder._history.keys()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### plot results" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T16:18:35.430906Z", + "start_time": "2021-04-20T16:18:35.428266Z" + } + }, + "outputs": [], + "source": [ + "embedding = embedder.embedding_" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T16:18:35.804963Z", + "start_time": "2021-04-20T16:18:35.433333Z" + } + }, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T16:18:36.563095Z", + "start_time": "2021-04-20T16:18:35.806582Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots( figsize=(8, 8))\n", + "sc = ax.scatter(\n", + " embedding[:, 0],\n", + " embedding[:, 1],\n", + " c=train_labels.astype(int)[:len(embedding)],\n", + " cmap=\"tab10\",\n", + " s=0.1,\n", + " alpha=0.5,\n", + " rasterized=True,\n", + ")\n", + "ax.axis('equal')\n", + "ax.set_title(\"Parametric UMAP embedding\", fontsize=20)\n", + "plt.colorbar(sc, ax=ax);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### measure at global structure as correlation of pairwise distances" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T16:18:36.566471Z", + "start_time": "2021-04-20T16:18:36.564526Z" + } + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import scipy.stats\n", + "import sklearn" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T16:18:36.630552Z", + "start_time": "2021-04-20T16:18:36.567600Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "r^2=0.5661054474710483, p=0.0\n" + ] + } + ], + "source": [ + "nex = 1000\n", + "sample1 = np.random.randint(len(train_images), size=nex)\n", + "sample2 = np.random.randint(len(train_images), size=nex)\n", + "x1 = train_images[sample1]\n", + "x2 = train_images[sample2]\n", + "z1 = embedding[sample1]\n", + "z2 = embedding[sample2]\n", + "x_dist = sklearn.metrics.pairwise_distances(x1, x2).flatten()\n", + "\n", + "z_dist = sklearn.metrics.pairwise_distances(z1, z2).flatten()\n", + "\n", + "corr, p = scipy.stats.pearsonr(x_dist, z_dist)\n", + "print(\"r^2={}, p={}\".format(corr, p))" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 0. , 0.80988037, 1.61976075, 2.42964112, 3.23952149,\n", + " 4.04940187, 4.85928224, 5.66916262, 6.47904299, 7.28892336,\n", + " 8.09880374, 8.90868411, 9.71856448, 10.52844486, 11.33832523,\n", + " 12.14820561, 12.95808598, 13.76796635, 14.57784673, 15.3877271 ])" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bins" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18,\n", + " 19, 20])" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.unique(xbins)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T16:18:37.004894Z", + "start_time": "2021-04-20T16:18:36.631969Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Embedding distances')" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots()\n", + "\n", + "ax.hist(x_dist, color = 'k', alpha = 0.1, density=True)\n", + "ax.set_ylabel('Density of data distances')\n", + "ax.set_xlabel('Data distance')\n", + "\n", + "ax2 = ax.twinx()\n", + "bins = np.linspace(np.min(x_dist), np.max(x_dist), 20)\n", + "xbins = np.digitize(x_dist, bins = bins)\n", + "bins = np.unique(xbins)\n", + "zmean = np.array([np.mean(z_dist[xbins == i]) for i in bins])\n", + "zstd = np.array([np.std(z_dist[xbins == i]) for i in bins])\n", + "ax2.plot(bins, zmean)\n", + "ax2.fill_between(bins, zmean-zstd, zmean+zstd, alpha = 0.1)\n", + "ax2.set_ylabel('Embedding distances')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### plotting loss" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T16:18:37.009309Z", + "start_time": "2021-04-20T16:18:37.006265Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['global_correlation_loss', 'loss', 'umap_loss'])" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "embedder._history.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T16:18:37.170844Z", + "start_time": "2021-04-20T16:18:37.010411Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'global_correlation_loss')" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAApAAAAG2CAYAAADIqLbmAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAAA9hAAAPYQGoP6dpAACD2klEQVR4nO3dd3hUZd7G8e+k994ooQSkBKUFSAICIqEIShHXxi5FlNWlKLCuYMN9XQtYl0VBLIuuYhdF1CggYAsBA0hHMJGEQAIhpJBAEjLz/nHIQAwtIeSk3J/rmouZM+c8+Y1R5+Zpx2Kz2WyIiIiIiFwkB7MLEBEREZG6RQFSRERERCpFAVJEREREKkUBUkREREQqRQFSRERERCpFAVJEREREKkUBUkREREQqRQFSRERERCpFAVJEREREKkUBUkREREQqRQFSRERE5AKys7MZPXo0Pj4++Pn5MWHCBI4dO3bea06cOMGkSZMIDAzEy8uLUaNGkZmZWe4ci8VS4fHee++VO+ell16iffv2uLu707ZtW956661q/3yVZdG9sEVERETO77rrruPgwYO88sorlJSUMH78eLp3786SJUvOec0999zDF198weLFi/H19WXy5Mk4ODjw448/2s+xWCz897//ZfDgwfZjfn5+uLm5AbBgwQIeeOABXn31Vbp378769eu56667WLJkCTfccMPl+8AXoAApIiIich47d+4kMjKSDRs20K1bNwDi4+MZMmQI+/fvp3HjxhWuyc3NJTg4mCVLlnDTTTcBsGvXLtq3b09CQgIxMTGAESCXLl3KiBEjzvqze/bsSa9evXjmmWfsx2bMmEFiYiI//PBDNX/Si+dk2k+uxU6ePMmmTZsIDQ3FwUGj/CIiInWB1WolNTWVyMhInJxORxxXV1dcXV2r3G5CQgJ+fn728AgQFxeHg4MDiYmJjBw5ssI1SUlJlJSUEBcXZz/Wrl07mjVrVi5AAkyaNIk777yTiIgI7r77bsaPH4/FYgGgqKjI3htZxt3dnfXr11NSUoKzs3OVP9elUIA8i02bNtGjRw+zyxAREZFqMHv2bB577LEqX5+RkUFISEi5Y05OTgQEBJCRkXHOa1xcXPDz8yt3PDQ0tNw1//d//8e1116Lh4cH33zzDX/72984duwYU6dOBWDQoEG89tprjBgxgq5du5KUlMRrr71GSUkJWVlZNGrUqMqf61IoQJ5FaGgoAOvXrzftFyMiIiKVc/DgQXr06MG2bdsIDw+3Hz9X7+PMmTOZM2fOedvcuXNntdb4R4888oj9eZcuXSgoKOCZZ56xB8hHHnmEjIwMYmJisNlshIaGMnbsWObOnWvqKKkC5FmU/UIaNWpE06ZNTa5GREREKsPX1xcfH58LnjdjxgzGjRt33nMiIiIICwvj0KFD5Y6fPHmS7OxswsLCznpdWFgYxcXF5OTklOuFzMzMPOc1ANHR0Tz++OMUFRXh6uqKu7s7b7zxBq+88gqZmZk0atSIRYsW4e3tTXBw8AU/4+WiACkiIiINUnBw8EWFsNjYWHJyckhKSiIqKgqAb7/9FqvVSnR09FmviYqKwtnZmVWrVjFq1CgAdu/eTWpqKrGxsef8WZs3b8bf379Cr6mzs7O9U+u9997j+uuvVw+kiIiISG3Vvn17Bg8ezF133cXChQspKSlh8uTJ3HrrrfYV2Onp6fTv35+33nqLHj164Ovry4QJE5g+fToBAQH4+PgwZcoUYmNj7QtoPv/8czIzM4mJicHNzY0VK1bw5JNP8ve//93+s3/99VfWr19PdHQ0R48e5fnnn2fbtm28+eabpvyzKKMAKSIiInIB77zzDpMnT6Z///44ODgwatQo5s2bZ3+/pKSE3bt3U1hYaD/2wgsv2M8tKipi0KBBvPzyy/b3nZ2deemll5g2bRo2m43WrVvz/PPPc9ddd9nPKS0t5bnnnmP37t04OzvTr18/fvrpJ1q0aFEjn/tctA/kWezfv5/w8HDS0tI0B1JERKSO0Pd3zdEmhyIiIiJSKbUiQL700ku0aNECNzc3oqOjWb9+/TnPffXVV+nduzf+/v74+/sTFxdX4fzHHnuMdu3a4enpaT8nMTHxcn8MERERkQbB9AD5/vvvM336dGbPns3GjRvp1KkTgwYNqrBcvsyaNWu47bbbWL16NQkJCYSHhzNw4EDS09Pt57Rp04b58+ezdetWfvjhB1q0aMHAgQM5fPhwTX0sERERkXrL9DmQ0dHRdO/enfnz5wPGbYjCw8OZMmUKM2fOvOD1paWl+Pv7M3/+fMaMGXPWc/Ly8vD19WXlypX079//gm1qDoWIiEjdo+/vmmNqD2RxcTFJSUnl7hPp4OBAXFwcCQkJF9VGYWEhJSUlBAQEnPNnLFq0CF9fXzp16nTWc4qKisjLy7M/8vPzK/9hRERERBoIUwNkVlYWpaWl9lsHlvnjfSLP54EHHqBx48blQijA8uXL8fLyws3NjRdeeIEVK1YQFBR01jaeeuopfH197Y/IyMiqfSARERGRBsD0OZCX4umnn+a9995j6dKluLm5lXuvX79+bN68mZ9++onBgwdz8803n3Ne5axZs8jNzbU/duzYURPli4iIiNRJpgbIoKAgHB0dyczMLHf8QveJBHj22Wd5+umn+eabb+jYsWOF9z09PWndujUxMTG8/vrrODk58frrr5+1LVdXV3x8fOwPb2/vqn8oERERkXrO1ADp4uJCVFQUq1atsh+zWq2sWrXqvPeJnDt3Lo8//jjx8fF069bton6W1WqlqKjokmu+VAdzj5OSVWB2GSIiIuaw2WDfPuMhdZbpQ9jTp0/n1Vdf5c0332Tnzp3cc889FBQUMH78eADGjBnDrFmz7OfPmTOHRx55hDfeeIMWLVqQkZFBRkYGx44dA6CgoIAHH3yQdevWsW/fPpKSkrjjjjtIT0/nT3/6kymfscziH1OIfepbnv16t6l1iIiI1AirFX79Fd57D/7xD4iLg8BAaNEC5s41uzq5BKbfC/uWW27h8OHDPProo2RkZNC5c2fi4+PtC2tSU1NxcDidcxcsWEBxcTE33XRTuXZmz57NY489hqOjI7t27eLNN98kKyuLwMBAunfvzvfff0+HDh1q9LP9UYcmvgAkphzBZrNhsVhMrUdERKTanDwJO3fCxo2nH5s3w6kOnnKcnM5+XOoM0/eBrI0u1z5SRSdL6fTPbzhRYmXl9D60DtFcSxERqYNOnIBt204HxU2bYMsW4/gfublBp07QtevpR4cO4Opa7WVpH8iaY3oPZEPi6uRI12b+/PTbEdYlZytAiohI7XfsGPzyS/mwuH270eP4R97e0KXL6aDYpQu0a2f0OEq9ot9oDYuJCDwVII/w55jmZpcjIiJy2tGjRkAsC4obN8Lu3cbClz8KDCzfq9ilC7RqBQ6mL6+QGqAAWcOiWxp3zElMydY8SBERMU9mZvmguHEjpKSc/dzGjcsHxa5dITwc9B3WYClA1rBO4X64OjlwOL+I5KwCWgV7mV2SiIjUZzYbpKVVDIsHDpz9/JYty4fFLl3gAnszS8OjAFnD3Jwd6dLMj3XJ2SQmZytAiohI9bFa4bffygfFjRvhyJGK51os0LZtxbDo71/zdUudowBpgpiIQNYlZ7Mu+Qi3RzczuxwREamLTp6EXbvKh8VNmyA/v+K5Tk7Gyuczh6A7dQIvdWJI1ShAmiC6ZSCwR/tBiojIxUtNhRUrICnJCIu//HL2bXNcXU9vm1MWFq+80thOR6SaKECaoEszP1wcHcjMK+L3I4W0DPI0uyQREaltrFYjKC5bBp9/bmzK/UdeXqdDYtmf7dqBs3ONlysNiwKkCdycHenczI/1KdkkJh9RgBQREcPx4/Dtt0ZoXL68/EIXBweIjYWePU/PW2zdWtvmiCkUIE0S0zKA9SnGPMhbe2gepIhIg5WZCV98YYTGFSugsPD0e15eMGgQDBsGQ4ZAUJB5dYqcQQHSJDERgcz7dq/2gxQRaWhsNtix4/TQ9Lp15TfqDg+HG24wQuM111yWW/6JXCoFSJN0aeaPs6OFg7knSM0upHmghrFFROqtkhL4/vvToTE5ufz7UVFGYBw2zFgAo04FqeUUIE3i7uJI53A/Nvx+lMTkbAVIEZH6JicHvvrKCI1ffQW5uaffc3WF/v2NwHj99dCkiWllilSFAqSJolsGsuH3o6xLPsLN3cPNLkdERC7Vb78ZPYzLlhk9jidPnn4vONgIi8OGwYAB4KmOA6m7FCBNFBMRyPzVmgcpIlJnlZbC+vVGYFy2zJjbeKbIyNND0z16gKOjOXWKVDMFSBN1be6Hk4OF9Jzj7D96nPAAD7NLEhGRCykoMFZLL1tmrJ4+dOj0e46O0KePERhvuAFatTKvTpHLSAHSRB4uTnQK9yNpnzGMrQApIlJLpacb+zIuWwarVkFR0en3fH3huuuM0Dh4sO4lLQ2CAqTJolsGkLTvKIkp2fypm+ZBiojUCjabcavAsqHppKTy77dseXpoundv3flFGhwFSJPFRATy8prfWJd8xOxSREQatqIiWLPm9FY7aWmn37NYIDr6dGiMjNRWO9KgKUCaLKq5P44OFvYfPc7+o4U09dcwtohIjcnKgi+/NELj11/DsWOn33N3h4EDjcA4dCiEhppXp0gtowBpMk9XJzo29WVTag6Jydk0jVKAFBG5rHbvPj00/dNPYLWefq9Ro9N3gbn2WiNEikgFCpC1QHTLQCNAphxhVFRTs8sREalfioqM2wV+/rnx+PXX8u936nR6aLprV3BwMKdOkTpEAbIWiIkIYOHa31iXnG12KSIidVtJCWzfDj//bDw2bICtW43jZZydoV+/03eBad7cvHpF6igFyFqgW4sAHB0spGYXciDnOI39NGQiInJBpaWwc+fpsPjzz7B5c/ktdsoEBZ3eamfgQPDxqfFyReoTBchawMvViSsb+/DL/lwSU44wsouGsUVEyrFaYc+e8mFx40YoLKx4rq8vdOtW/tG8uVZNi1QjBchaIiYi0AiQydkKkCLSsNlskJJSfhg6KQny8yue6+VlzFvs1g26dzf+jIjQPEaRy0wBspaIjgjgle+StR+kiDQsNhvs32+ExDN7F48erXiuuzt06VK+Z7FNG91fWsQECpC1RLcWAThY4PcjhWTkniDM183skkREqt/Bg+WD4s8/l7+XdBkXF2N19JlhMTISnPS1JVIb6L/EWsLHzZkOjX3Zmm7MgxzeuYnZJYmIXJrDh42h5zOHog8cqHiekxNceWX5YegrrzRCpIjUSgqQtUhMRABb03NZl5ytACkidcvRo8ailjOHovftq3ieg4PRk3hmz2LHjtqwW6SOUYCsRaJbBvLq9ykkah6kiNRm+flGWDxzGHrv3rOf27bt6aDYvTt07gyenjVarohUPy1Tq0W6twzAYoHkrAIO5Z0wuxwREWObnJ9+gnnzYMwYo/fQ1xeuuQb+/nd4773T4TEiAm65BZ55Blavhpwc2LUL3n4b7rsPevVSeJQ6Kzs7m9GjR+Pj44Ofnx8TJkzg2Jn3Tj+LEydOMGnSJAIDA/Hy8mLUqFFkZmZWOG/x4sV07NgRNzc3QkJCmDRpUrn3t2zZQu/evXFzcyM8PJy5c+dW62erCvVA1iK+7s5ENvJh+4E8ElOyuaFTY7NLEpGG5uhR+P57WLvWeGzebGzY/UfNmpUfho6KgoCAGi9XpKaMHj2agwcPsmLFCkpKShg/fjwTJ05kyZIl57xm2rRpfPHFF3z44Yf4+voyefJkbrzxRn788Uf7Oc8//zzPPfcczzzzDNHR0RQUFPD777/b38/Ly2PgwIHExcWxcOFCtm7dyh133IGfnx8TJ068nB/5vCw2m81m2k+vpfbv3094eDhpaWk0bVqzezI+vnwHr/+QwujoZjwx8qoa/dki0gAdOQLffXc6MP7yi7G1zpnCwk4vbune3QiLISHm1CtyHpfr+3vnzp1ERkayYcMGunXrBkB8fDxDhgxh//79NG5cscMnNzeX4OBglixZwk033QTArl27aN++PQkJCcTExHD06FGaNGnC559/Tv/+/c/6sxcsWMBDDz1ERkYGLqcWls2cOZNPP/2UXbt2VdtnrCz1QNYy0S0DeP2HFBJTdF9sEbkMMjPLB8Zt2yqe07Yt9O1rPPr0gRr+i7TIpcrPzycvL8/+2tXVFVdX1yq3l5CQgJ+fnz08AsTFxeHg4EBiYiIjR46scE1SUhIlJSXExcXZj7Vr145mzZrZA+SKFSuwWq2kp6fTvn178vPz6dmzJ8899xzh4eH2n92nTx97eAQYNGgQc+bM4ejRo/j7+1f5c10KBchapsepeZB7Dx3jcH4Rwd5V/xdeRIQDB06HxbVrjTmJf9ShQ/nAGBZW83WKVKPIyMhyr2fPns1jjz1W5fYyMjII+UOvu5OTEwEBAWRkZJzzGhcXF/z8/ModDw0NtV+TnJyM1WrlySef5N///je+vr48/PDDDBgwgC1btuDi4kJGRgYtW7as0EbZz1CAFAD8PFxoF+bDzoN5rE/JZmjHRmaXJCJ1SVra6bC4Zk3F1dEWC1x1VfnAGBxsSqkil8uOHTto0uT0dnjn6n2cOXMmc+bMOW9bO3furNbazmS1WikpKWHevHkMHDgQgHfffZewsDBWr17NoEGDLtvPvlQKkLVQTEQAOw/msS75iAKkiJybzQa//16+hzElpfw5Dg7G1jllgbF3by12kXrP29sbHx+fC543Y8YMxo0bd95zIiIiCAsL49Af7ph08uRJsrOzCTtHj31YWBjFxcXk5OSU64XMzMy0X9OokfEdf2aPaXBwMEFBQaSmptrb+ePK7bLX5/rZNUEBshaKbhnIf3/8ncQU7QcpImew2eC334yexbLAmJZW/hxHR2ORS1lgvPpqY9sdEakgODiY4IvogY+NjSUnJ4ekpCSioqIA+Pbbb7FarURHR5/1mqioKJydnVm1ahWjRo0CYPfu3aSmphIbGwtAr1697MfLFv1kZ2eTlZVF8+bN7T/7oYceoqSkBGdnZwBWrFhB27ZtTRu+Bq3CPiszV2EDZBcU0/XxFQAkPRxHoJfmQYo0SDYb7N5dvofxj7cCdHIyVkZfc40RGHv2BG9vU8oVMdvl/P6+7rrryMzMZOHChfZtfLp162bfxic9PZ3+/fvz1ltv0aNHDwDuuecevvzySxYvXoyPjw9TpkwB4KeffrK3O2LECPbu3cuiRYvw8fFh1qxZJCcns3nzZpydncnNzaVt27YMHDiQBx54gG3btnHHHXfwwgsvmLqNj3oga6EATxfahXmzKyOf9SnZXHeVhrFFGgSrFXbsOB0Wv/vOWDV9JhcXiI4+3cMYG6vNuUVqwDvvvMPkyZPp378/Dg4OjBo1innz5tnfLykpYffu3RQWFtqPvfDCC/Zzi4qKGDRoEC+//HK5dt966y2mTZvG0KFDcXBwoG/fvsTHx9t7G319ffnmm2+YNGkSUVFRBAUF8eijj5oaHkE9kGdldg8kwOzPtvFmwj7Gxjbnn8OvNKUGEbnMrFbYsqV8YDzyh6krbm5GSCwLjNHRum+0yDnUhu/vhkI9kLVUTEQgbybs036QIvVJaalxZ5eywPj998adX87k4WEMQ5cFxh494BL2rxMRuRwUIGupHi2NVZK7MvLJLigmwNPlAleISK1TUgIbN54OjD/8AGdsbgyAl5ex0KUsMEZFGcPUIiK1mAJkLRXo5UqbUC9+zTzG+pRsBl+pjX1F6oSUFFi6FL75xgiMBQXl3/f1NbbSKQuMXboYC2FEROoQ/V+rFotuGcivmcdYl3xEAVKktrLZYPt2+OQTIzhu3lz+fX9/Y7Puvn2NldIdOxpb7YiI1GEKkLVYTEQg/1uneZAitY7VCuvXnw6NZ97txdHRCIzDh0O/fnDllcZm3iIi9YgCZC12eh5kHjmFxfh5aF6UiGlKSox5jJ98Ap9+CgcPnn7P1RUGDoQbb4QbboDAQNPKFBGpCQqQtViwtyutQ7zYe8iYBzmwg4axRWpUYaExl/GTT2D58vIrpn18YOhQIzQOHmwshhERaSAUIGu56JYB7D10jEQFSJGakZNjhMVPPoH4eDh+/PR7ISHG0PTIkXDttdpeR0QaLAXIWi4mIpB3ElNZl6z7YotcNgcPwmefGaFx9Wo4efL0ey1aGIFx5Ehjf0YtgBERUYCs7aIjjHmQOw7mkXu8BF93Z5MrEqknfvvNWADzySewbp2xmrrMlVeeDo2dO4PFYlqZIiK1kQJkLRfi7UZEsCfJhwvYkJJNXGSo2SWJ1E02m3HbwLLQuHVr+fdjYk6HxiuuMKdGEZE6QgGyDohuGUjy4QISU44oQIpUhtUKCQlGaFy6FJKTT7/n6GhsszNypDGvsUkT8+oUEaljFCDrgJiIAN5dn8q6ZO0HKXJBxcXGPMalS43tdjIzT7/n5masmB45Eq6/HgICTCtTRKQuU4CsA6JbGnvKbT+QS96JEnzcNA9SpJyCAmPF9NKlxgrq3NzT7/n6GnszjhwJgwaBp6d5dYqI1BMKkHVAmK8bLQI9+P1IIT//ns217TSMLUJ2Nnz+uREav/4aTpw4/V5YGIwYYYTGa64BF23CLyJSnRQg64iYiEB+P1JIYrICpDRg6enGsPTSpbBmDZSWnn4vIsIIjDfeaCyI0e0DRUQuGwXIOiI6IoD3NqRpP0hpeH799fQimMTE8u917Hg6NF51lbbbERGpIQqQdUTZPMhtB/LIP1GCt+ZBSn1ls8HmzcZWO0uXwvbtp9+zWCA29vR2O61amVamiEhDpgBZRzT2c6dZgAep2YX8vO8o/dqGmF2SSPVKTYUFC+Ddd2HfvtPHnZyM2waWbbfTqJF5NYqICKAAWafERASQmm3Mg1SAlHrBZoO1a+E//zHmNlqtxnF3d7juOiM0Dh0K/v6mlikiIuUpQNYh0S0D+eDn/ZoHKXVfYSG8844RHM+8I0z//nDPPUZ49PAwrz4RETkvBcg6pOy+2FvTcykoOomnq359Usf8/ju8/DK89hocPWoc8/CAMWNg8mTo0MHU8kRE5OIogdQhTf09aOrvzv6jx0nad5Q+bYLNLknkwmw2Y8udefNg2bLTw9QtWxqhcfx4DVGLiNQx2iitjomJMFZjaxhbar2CAnjlFWOrnWuvPT3HMS7OCJJ79sD06QqPIiJ1kHog65jolgF8lLSfxBTdF1tqqZQUeOkleP11yMkxjnl6wtixRo9j+/amliciIpeuVvRAvvTSS7Ro0QI3Nzeio6NZv379Oc999dVX6d27N/7+/vj7+xMXF1fu/JKSEh544AGuuuoqPD09ady4MWPGjOHAgQM18VEuu7IeyF/ScigsPmlyNSKn2GywapWxzU6rVvDcc0Z4jIiAF16A/fuNUKnwKCJSL5geIN9//32mT5/O7Nmz2bhxI506dWLQoEEcOnTorOevWbOG2267jdWrV5OQkEB4eDgDBw4kPT0dgMLCQjZu3MgjjzzCxo0b+eSTT9i9ezfDhg2ryY912YQHeNDEz52TVhsb9+WYXY40dAUFsHAhXHnl6aFpmw0GDoTly41h6vvuAz8/sysVEZFqZLHZbDYzC4iOjqZ79+7Mnz8fAKvVSnh4OFOmTGHmzJkXvL60tBR/f3/mz5/PmDFjznrOhg0b6NGjB/v27aNZs2YXbHP//v2Eh4eTlpZG06ZNK/eBasD0DzbzycZ0Jvdrzd8HtTW7HGmIkpNPD1Pn5hrHvLxOD1O3a2dufSLSINX27+/6xNQeyOLiYpKSkoiLi7Mfc3BwIC4ujoSEhItqo7CwkJKSEgICAs55Tm5uLhaLBb960gsSc+q2hokpWkgjNchmgxUr4IYboHVreP55Izy2bg0vvmgMU8+fr/AoItIAmLqIJisri9LSUkJDQ8sdDw0NZdeuXRfVxgMPPEDjxo3LhdAznThxggceeIDbbrsNHx+fs55TVFREUVGR/XV+fv5FfgJzlO0HuTkth+PFpbi7OJpckdRrx47BW28Zm36f+d/l4MEwZYrxp4Pps2FERKQG1elV2E8//TTvvfcea9aswc3NrcL7JSUl3HzzzdhsNhYsWHDOdp566in++c9/Xs5Sq1WzAA8a+bpxMPcEm1KP0rN1kNklSX20d68xTP3GG5CXZxzz9oZx42DSJGir6RMiIg2Vqd0GQUFBODo6kpmZWe54ZmYmYWFh57322Wef5emnn+abb76hY8eOFd4vC4/79u1jxYoV5+x9BJg1axa5ubn2x44dO6r2gWqIxWIhuqXRC6n9IKVaWa3w9ddw/fXQpo0xNJ2XZzyfN88Ypp43T+FRRKSBMzVAuri4EBUVxapVq+zHrFYrq1atIjY29pzXzZ07l8cff5z4+Hi6detW4f2y8Lhnzx5WrlxJYGDgeetwdXXFx8fH/vD29q76h6oh9g3FtR+kVIf8fGP+YmSkMST9xRfGnMchQ+Crr2DnTmO4+jx/ERMRkYbD9CHs6dOnM3bsWLp160aPHj148cUXKSgoYPz48QCMGTOGJk2a8NRTTwEwZ84cHn30UZYsWUKLFi3IyMgAwMvLCy8vL0pKSrjpppvYuHEjy5cvp7S01H5OQEAALi4u5nzQahZ9KkBuTs3hREkpbs6aBylVsGePERz/+18jRIIxTH3HHcYw9RVXmFufiIjUSqYHyFtuuYXDhw/z6KOPkpGRQefOnYmPj7cvrElNTcXhjAn6CxYsoLi4mJtuuqlcO7Nnz+axxx4jPT2dZcuWAdC5c+dy56xevZprrrnmsn6emtIi0INQH1cy84rYlJpDbKvz97KK2JUNU//nP0bvYpm2bY1exjFjjBApIiJyDqYHSIDJkyczefLks763Zs2acq9///3387bVokULTN7askYY8yADWfbLAdYlH1GAlAvLy4PFi40exz17jGMWizFMPXWqsRG4VlOLiMhFqBUBUqomJsIIkNoPUs5r924jNC5ebGzJA8ZcxrJh6tatTS1PRETqHgXIOqxsP8iNmgcpf2S1Qny8sWL6669PH2/f3him/stfjDvHiIiIVIECZB0WEeRJsLcrh/OL+CUtx76wRhqw3NzTw9R79xrHLBZjW56pU6F/f+O1iIjIJdCEpzrszP0gE7WdT8O2Z49xD+omTeC++4zw6OsL06cbz5ctM+Y4KjyKiEg1UICs4+z7QWpD8YbJZjPuFnPVVcafBQXGXo4LFhibfj/3HEREmF2liIjUMxrCruNi7PMgj1J0shRXJ82DbDBycmDCBPjkE+N1XBzMnAnXXqueRhERuazUA1nHtQr2IsjLhRMlVrbszzW7HKkp69ZB585GeHR2hhdegG++0RxHEZHLJDs7m9GjR+Pj44Ofnx8TJkzgWNnOFudw4sQJJk2aRGBgIF5eXowaNarC7ZsBFi9eTMeOHXFzcyMkJIRJkyaVa2PcuHFcddVVODk5MWLEiOr+aFWiAFnHle0HCZCoYez6z2qFZ56B3r1h3z5jePqnn4x5jwqOIiKXzejRo9m+fTsrVqxg+fLlfPfdd0ycOPG810ybNo3PP/+cDz/8kLVr13LgwAFuvPHGcuc8//zzPPTQQ8ycOZPt27ezcuVKBg0aZH+/tLQUd3d3pk6dSlxc3GX5bFVhsTWEXbcraf/+/YSHh5OWlkbTpk3NLueC3kr4nUc/287VrYN4+85os8uRy+XwYRg79vTdY265BV55xVgsIyIil+37e+fOnURGRrJhwwa6desGQHx8PEOGDGH//v00bty4wjW5ubkEBwezZMkS+93zdu3aRfv27UlISCAmJoajR4/SpEkTPv/8c/r373/BOsaNG0dOTg6ffvpptX22qlIPZD1QtpAmad9Rik9aTa5GLou1a40h66++Ajc3WLQI3n1X4VFEpAYkJCTg5+dnD48AcXFxODg4kJiYeNZrkpKSKCkpKddr2K5dO5o1a0ZCQgIAK1aswGq1kp6eTvv27WnatCk333wzaWlpl/cDVQMFyHrgihAvAjxdOF5Sytb0HLPLkepUWgr//KexMObAAWMj8PXr4a67NGQtInIO+fn55OXl2R9FRUWX1F5GRgYhISHljjk5OREQEEBGRsY5r3FxccHPz6/c8dDQUPs1ycnJWK1WnnzySV588UU++ugjsrOzGTBgAMXFxZdU8+WmAFkPnLkf5Lpk7QdZbxw4AAMGwGOPGXMfx4+HDRuMLXtEROScIiMj8fX1tT+eeuqps543c+ZMLBbLeR+7du26bHVarVZKSkqYN28egwYNIiYmhnfffZc9e/awevXqy/ZzAfLy8vj000/ZuXNnla7XNj71RHTLAL7alsG65CNM6qd7G9d58fEwZowx79HTExYuhD//2eyqRETqhB07dtCkSRP7a1dX17OeN2PGDMaNG3fetiIiIggLC+PQoUPljp88eZLs7GzCwsLOel1YWBjFxcXk5OSU64XMzMy0X9OoUSPACLxlgoODCQoKIjU19bx1VdbNN99Mnz59mDx5MsePH6dbt278/vvv2Gw23nvvPUaNGlWp9hQg64mYVqfnQZaUWnF2VOdynVRSAg8/DHPnGq87d4b334c2bUwtS0SkLvH29sbHx+eC5wUHBxMcHHzB82JjY8nJySEpKYmoqCgAvv32W6xWK9HRZ1+8GhUVhbOzM6tWrbKHs927d5OamkpsbCwAvXr1sh8vW/STnZ1NVlYWzZs3v/AHrYTvvvuOhx56CIClS5dis9nIycnhzTff5F//+lelA6RSRj3RJsQbPw9nCotL2Zqu/SDrpH37oE+f0+Fx0iRISFB4FBExWfv27Rk8eDB33XUX69ev58cff2Ty5Mnceuut9hXY6enptGvXjvXr1wPg6+vLhAkTmD59OqtXryYpKYnx48cTGxtLTEwMAG3atGH48OHce++9/PTTT2zbto2xY8fSrl07+vXrZ//5O3bsYPPmzWRnZ5Obm8vmzZvZvHlzpT5Dbm4uAQHGdLf4+HhGjRqFh4cHQ4cOZc+ePZX+Z6IeyHrCwcGYB/n19kwSk7Pp2szf7JKkMj791JjjmJNjrKx+4w34w15hIiJinnfeeYfJkyfTv39/HBwcGDVqFPPmzbO/X1JSwu7duyksLLQfe+GFF+znFhUVMWjQIF5++eVy7b711ltMmzaNoUOH4uDgQN++fYmPj8fZ2dl+zpAhQ9i3b5/9dZcuXQCozE6M4eHhJCQkEBAQQHx8PO+99x4AR48exc3NrXL/MNA+kGdV1/aBLPPGDyn83/Id9G0TzJt39DC7HLkYJ07A/ffD/PnG6+hoY3ueli3NrUtEpA6qq9/fNeHll1/m3nvvxcvLi+bNm7Nx40YcHBz4z3/+wyeffFLpRTvqgaxHyvaD/Pn3bE6WWnHSPMjabc8eYzPwTZuM1/ffD088YdyaUEREpBr97W9/o0ePHqSlpTFgwAAcHIyMEBERwb/+9a9Kt6cAWY+0C/PG192Z3OMlbD+QR6dwP7NLknNZsgT++lc4dgyCguCtt+C668yuSkRE6rFu3brZN0MvLS1l69at9OzZE3//yk97UxdVPeLgYKGHfT9I3Re7VioshDvvhNGjjfDYty9s3qzwKCIil9V9993H66+/DhjhsW/fvnTt2pXw8HDWrFlT6fYUIOuZsg3FE1O0oXits307dO8Or79u3EVm9mxYtQrO2KtMRETkcvjoo4/o1KkTAJ9//jkpKSns2rWLadOm2bf3qQwFyHqmbB7khpRsSq1aH1Ur2Gzw2mtGeNyxAxo1MoLjY4+Bo6PZ1YmISAOQlZVl38D8yy+/5E9/+hNt2rThjjvuYOvWrZVuTwGynmnfyAdvNyfyi06y40Ce2eVIXh7cfrtx7+rjx2HQIGPI+oz9vURERC630NBQduzYQWlpKfHx8QwYMACAwsJCHKvQmaEAWc84Oljo0ULzIGuFpCTo2hXee8/oaZwzB778EkJCzK5MREQamPHjx3PzzTdz5ZVXYrFYiIuLAyAxMZF27dpVuj0FyHqobBg7MUUB0hQ2G8ybB7Gx8Ntv0KwZfP89/OMf4KD/5EREpOY99thjvPbaa0ycOJEff/zRfn9wR0dHZs6cWen2tI1PPRQdcXohTanVhqODxeSKGpDsbJgwwbizDMDIkcaimSpskSAiIlKdbrrppgrHxo4dW6W21B1SD0U28sHb1Yn8EyfZeVDzIGvMTz9Bly5GeHRxgf/8Bz7+WOFRRERqhbVr13LDDTfQunVrWrduzbBhw/j++++r1JYCZD3k5OhAtxZGaNE8yBpgtcLTT0OfPpCaCq1bQ0ICTJ5sbNcjIiJisrfffpu4uDg8PDyYOnUqU6dOxd3dnf79+7NkyZJKt6cAWU+dngep/SAvq8xMYxPwWbOgtNRYcb1xo7F4RkREpJZ44oknmDt3Lu+//749QL7//vs8/fTTPP7445VuTwGynoo+FSDXp2Rj1X6Ql8e330LnzvDNN+Dubsx1fPtt8PY2uzIREZFykpOTueGGGyocHzZsGCkpKZVuTwGynrqysQ+eLo7kHi9hV0a+2eXULydPwqOPQlwcZGRAhw6wYQPccYeGrEVEpFYKDw9n1apVFY6vXLmS8PDwSrenVdj1lDEPMoC1vx5mXfIRIhv7mF1S/ZCebgxTf/ed8fquu+DFF8HDw9SyREREzmfGjBlMnTqVzZs307NnTwB+/PFHFi9ezL///e9Kt6cAWY/FRASy9tfDJKYc4Y6rW5pdTt33xRcwdiwcOQJeXrBoEdx2m9lViYiIXNA999xDWFgYzz33HB988AEA7du35/3332f48OGVbk8Bsh47cz9Iq9WGg/aDrJriYnjwQXjuOeN1167w/vvGamsREZE6YuTIkYwcObJa2tIcyHrsqia+eLg4klNYwq+HNA+ySlJSoHfv0+Fx6lRjv0eFRxERacDUA1mPOTs6ENXcn+/3ZJGYnE27MM2DrJSPPoI774TcXGMz8DfegBEjzK5KRETkovj7+2O5yMWd2dmV2/ZPAbKei4kI5Ps9WaxLPsLYni3MLqduOHECpk+HBQuM1z17wrvvGve0FhERqSNefPHFy9a2AmQ9F3PGPEibzXbRfxNpsHbvhltugV9+MV7PnAn/93/g7GxuXSIiIpVUlftcP/3009x99934+fmd9zzNgaznrmrih7uzI9kFxew5dMzscmq3//0PoqKM8BgcDPHx8NRTCo8iItJgPPnkkxc1nK0AWc+5OBnzIAESdV/sszt2DMaNgzFjoKAArr3WCJGDBpldmYiISI2y2S7u7nUKkA1AdEtjGHtdsu6LXcGWLdC9O7z5Jjg4GMPV33wDjRqZXZmIiEitpTmQDUBMq0BYAYkpRzQP8kwbNxpb9BQWQuPGxkKZPn3MrkpERKTWUw9kA9CxqS+uTg5kHSvmt8OaBwkY97AePtwIj9dcYwxZKzyKiIhcFAXIBsDVydE+D1LD2Bjb9IwcCfv3Q/v28OmnEBRkdlUiIiJ1hgJkAxHdMhCAdQ19IY3NBhMnwrp1xubgy5aBr6/ZVYmIiNQKvXv3xt3d/YLnaQ5kA6H9IE959lljux5HR/jwQ92SUEREGgyr1crevXs5dOgQVqu13Ht9Tk3j+vLLLy+qLQXIBqJTuB8uTg4czi8iOauAVsFeZpdU85YvhwceMJ7/+9/Qv7+59YiIiNSQdevWcfvtt7Nv374KW/VYLBZKS0sr1Z6GsBsIN2dHujbzAyCxIc6D3L4dbr/dGMK++27429/MrkhERKTG3H333XTr1o1t27aRnZ3N0aNH7Y/K3gcb1APZoES3DGRdcjbrko9we3QDuq/zkSMwbBjk5xsrrufNg4Y6hC8iIg3Snj17+Oijj2hdTVO31APZgMREGAtpyvaDbBBKSuCmmyA5GSIi4KOPdGtCERFpcKKjo9m7d2+1taceyAakSzM/XBwdyMwrYt+RQloEeZpd0uV3772wZg14exsrrgMDza5IRESkxk2ZMoUZM2aQkZHBVVddhfMfOlM6duxYqfYUIBsQN2dHOjfzY32KMYxd7wPkyy/DggXGcPWSJdChg9kViYiImGLUqFEA3HHHHfZjFovFvjNLZRfRKEA2MDEtA1ifkk1iSja39qjH8yC//RamTjWeP/00XH+9ufWIiIiYKCUlpVrbU4BsYGIiApn37V7WJdfj+2Lv3WvMeywthb/8Be6/3+yKRERETNW8efNqbU8BsoHp0swfZ0cLB3NPkJZ9nGaBHmaXVL1yc40V10ePQnQ0LFqkFdciIiLAb7/9xosvvsjOnTsBiIyM5N5776VVq1aVbkursBsYdxdHOjX1A+rhbQ1LS+G222DnTmjSBJYuBTc3s6sSEREx3ddff01kZCTr16+nY8eOdOzYkcTERDp06MCKFSsq3Z56IBugmIhAft53lHUpR7i5e7jZ5VSfmTPhq6/A3R0++wwaNTK7IhERkVph5syZTJs2jaeffrrC8QceeIABAwZUqj31QDZA0WX3xa5Pd6R5803jPtcAixdDVJSp5YiIiNQmO3fuZMKECRWO33HHHezYsaPS7SlANkBRzf1xcrCQnnOctOxCs8u5dD/9BBMnGs8feQRuvtncekRERGqZ4OBgNm/eXOH45s2bCQkJqXR7GsJugDxcnOjY1JeNqTmsSz5CeEAdXkiTmgojR0JxMdx4Izz2mNkViYiI1Dp33XUXEydOJDk5mZ49ewLw448/MmfOHKZPn17p9tQD2UCdvq1hHR7GLiiA4cPh0CHo1Aneegsc9K+0iIhUv+zsbEaPHo2Pjw9+fn5MmDCBY8eOnfeaEydOMGnSJAIDA/Hy8mLUqFFkZmZWOG/x4sV07NgRNzc3QkJCmDRpkv29NWvWMHz4cBo1aoSnpyedO3fmnXfeqXT9jzzyCI8++ij/+c9/6Nu3L3379mX+/Pk89thjPPzww5VuT9+2DVT0qQBZZ1diW60wdixs3gwhIcaiGc96fmcdERExzejRo9m+fTsrVqxg+fLlfPfdd0wsmz51DtOmTePzzz/nww8/ZO3atRw4cIAbb7yx3DnPP/88Dz30EDNnzmT79u2sXLmSQYMG2d//6aef6NixIx9//DFbtmxh/PjxjBkzhuXLl1eqfovFwrRp09i/fz+5ubnk5uayf/9+7r333irtCW2x2Wy2Sl9Vz+3fv5/w8HDS0tJo2rSp2eVcFgVFJ+n4z28otdr44YF+NPWvY8PYjz0G//wnODvD6tXQq5fZFYmIiMku1/f3zp07iYyMZMOGDXTr1g2A+Ph4hgwZwv79+2ncuHGFa3JzcwkODmbJkiXcdNNNAOzatYv27duTkJBATEwMR48epUmTJnz++ef079//ousZOnQooaGhvPHGG9XzAatAPZANlKerE1c18QXq4GrsDz80wiMYG4UrPIqIyBny8/PJy8uzP4qKii6pvYSEBPz8/OzhESAuLg4HBwcSExPPek1SUhIlJSXExcXZj7Vr145mzZqRkJAAwIoVK7BaraSnp9O+fXuaNm3KzTffTFpa2nnryc3NJSAg4IJ1d+3alaNHjwLQpUsXunbtes5HZWkRTQMWExHI5rQcElOOMCqqjvS0btxoDF0DTJ8O48aZWo6IiNQ+kZGR5V7Pnj2bxy5hkWVGRkaFlcpOTk4EBASQkZFxzmtcXFzw8/Mrdzw0NNR+TXJyMlarlSeffJJ///vf+Pr68vDDDzNgwAC2bNmCi4tLhXY/+OADNmzYwCuvvHLBuocPH46rq6v9eXXevlgBsgGLjghg4drfWFdXeiAzMoxFM8ePw+DBMHeu2RWJiEgttGPHDpo0aWJ/XRai/mjmzJnMmTPnvG2V3fbvcrBarZSUlDBv3jwGDhwIwLvvvktYWBirV68uNxcSYPXq1YwfP55XX32VDh06XLD92bNn259fSoA+GwXIBqxbc38cHSykZhdyMPc4jXzdzS7p3E6cMLbr2b8f2rWD994DR0ezqxIRkVrI29sbHx+fC543Y8YMxl1gJCsiIoKwsDAOHTpU7vjJkyfJzs4mLCzsrNeFhYVRXFxMTk5OuV7IzMxM+zWNTt0x7cwe0+DgYIKCgkhNTS3X3tq1a7nhhht44YUXGDNmzAU/29k+x4YNGwgMDCx3PCcnh65du5KcnFyp9mrFHMiXXnqJFi1a4ObmRnR0NOvXrz/nua+++iq9e/fG398ff39/4uLiKpz/ySefMHDgQAIDA7FYLGfdOFPA282ZKxsb/4HV6nmQNhv89a+wbh34+8OyZeDra3ZVIiJSxwUHB9OuXbvzPlxcXIiNjSUnJ4ekpCT7td9++y1Wq5Xo6Oizth0VFYWzszOrVq2yH9u9ezepqanExsYC0OvUHP7du3fbz8nOziYrK4vmzZvbj61Zs4ahQ4cyZ86cC678Ppfff/+d0tLSCseLiorYv39/pdszvQfy/fffZ/r06SxcuJDo6GhefPFFBg0axO7du8+6M/qaNWu47bbb6NmzJ25ubsyZM4eBAweyfft2e3d1QUEBV199NTfffDN33XVXTX+kOiUmIpBf9ueyLvkII7o0ufAFZnjuOWOPR0dH+OADuOIKsysSEZEGpH379gwePJi77rqLhQsXUlJSwuTJk7n11lvtK7DT09Pp378/b731Fj169MDX15cJEyYwffp0AgIC8PHxYcqUKcTGxhITEwNAmzZtGD58OPfeey+LFi3Cx8eHWbNm0a5dO/r16wcYw9bXX3899957L6NGjbLPn3RxcbmohTTLli2zP//666/xPaMDprS0lFWrVtGyZcvK/0OxmaxHjx62SZMm2V+XlpbaGjdubHvqqacu6vqTJ0/avL29bW+++WaF91JSUmyAbdOmTZWqKS0tzQbY0tLSKnVdXbRqZ4at+QPLbdc8s9rsUs5u+XKbzWKx2cBm+89/zK5GRERqscv5/X3kyBHbbbfdZvPy8rL5+PjYxo8fb8vPz7e/X5Y5Vq9ebT92/Phx29/+9jebv7+/zcPDwzZy5EjbwYMHy7Wbm5tru+OOO2x+fn62gIAA28iRI22pqan298eOHWsDKjz69u17UXVbLBabxWKxOTg42J+XPVxcXGxt2rSxff7555X+52HqPpDFxcV4eHjw0UcfMWLECPvxsWPHkpOTw2effXbBNvLz8wkJCeHDDz/k+uuvL/fe77//TsuWLdm0aROdO3e+6Loawj6QZfJOlND5n99gtUHig/0J9XEzu6TTduyAmBjIzzfudb1wIVTjCjIREalfGtL3d2W1bNmSDRs2EBQUVC3tmToHMisri9LSUkJDQ8sdP3OJ+4U88MADNG7cuNw+S5VVVFRUbr+o/Pz8KrdV1/i4OdOhsdGdXavuSnPkCNxwgxEe+/aF//xH4VFERKSKUlJSqi08Qi2YA3kpnn76ad577z3WrFmDm1vVe86eeuop/lm2MXUDFN0ygK3puaxLzmZ451owD7KkBP70J0hOhpYt4aOP4Cx7YYmIiMjFKygoYO3ataSmplJcXFzuvalTp1aqLVMDZFBQEI6OjhVuLH7mEvdzefbZZ3n66adZuXIlHTt2vKQ6Zs2axfTp0+2v09PTK2xCWp/FRATy2g8pJKbUkh7I++4zbk/o5WWsuK7GvzGJiIg0RJs2bWLIkCEUFhZSUFBAQEAAWVlZeHh4EBISUukAaeoQtouLC1FRUeWWuFutVlatWmVf4n42c+fO5fHHHyc+Pr7cbYWqytXVFR8fH/vD29v7ktusS7q3DMBigeTDBRzKO2FuMQsWwMsvG8PVS5bAlVeaW4+IiEg9MG3aNG644QaOHj2Ku7s769atY9++fURFRfHss89Wuj3T94GcPn06r776Km+++SY7d+7knnvuoaCggPHjxwMwZswYZs2aZT9/zpw5PPLII7zxxhu0aNGCjIwMMjIyOHbsmP2c7OxsNm/ezI4dOwBjf6XNmzdf9LzKhsbX3ZnIRqf2g0wxcT/Ib7+FKVOM5089ZcyBFBERkUu2efNmZsyYgYODA46OjhQVFREeHs7cuXN58MEHK92e6QHylltu4dlnn+XRRx+lc+fObN68mfj4ePvCmtTUVA4ePGg/f8GCBRQXF3PTTTfRqFEj++PM9Lxs2TK6dOnC0KFDAbj11lvp0qULCxcurNkPV4dEtzR2pjdtIc1vvxnzHktL4c9/hn/8w5w6RERE6iFnZ2ccHIzYFxISYr/Tja+vL2lpaZVuz9RtfGqrhrgNwDfbM5j4vyRah3ixcnrfmv3heXnGdj07d0KPHrB2LVzCoigREWmYGuL398UaOHAg48aN4/bbb+euu+5iy5YtTJ06lf/9738cPXqUxMTESrVXpR7IN998ky+++ML++h//+Ad+fn707NmTffv2VaVJMVmPU/Mg9x46xuH8opr7waWlcNttRnhs0gQ+/VThUUREpJo9+eST9ntvP/HEE/j7+3PPPfdw+PBhFi1aVOn2qhQgn3zySdzd3QFISEjgpZdeYu7cuQQFBTFt2rSqNCkm8/NwoV2YMQ9yfU3Og5w1C7780giNn34Kp/7lFhERkerTrVs3++0RQ0JCiI+PJy8vj6SkJDp16lTp9qoUINPS0mjdujUAn376KaNGjWLixIk89dRTfP/991VpUmqB6JbGPTVrbB7km2/CM88YzxcvhmpYUS8iIiKXX5X2gfTy8uLIkSM0a9aMb775xr6HopubG8ePH6/WAqXmxEQEsvin32tmP8iEBOP2hAAPPwy33HL5f6aIiEgD0qVLFywXeRe3jRs3VqrtKgXIAQMGcOedd9KlSxd+/fVXhgwZAsD27dtp0aJFVZqUWqDHqR7IXzOPceRYEYFerpfnB6WlwciRUFxs/NmA7wIkIiJyuYwYMeKytV2lAPnSSy/x8MMPk5aWxscff0xgoLEFTFJSErfddlu1Fig1J8DThXZh3uzKyGd9SjbXXXUZ5iMWFMDw4ZCZCR07wltvgYPpu0mJiIjUO7Nnz75sbVcpQPr5+TF//vwKxxvy/aTri+iWAezKyCfxcgRIqxXGjYNNmyA42LhNoZdX9f4MEREROaucnBw++ugjfvvtN+6//34CAgLYuHEjoaGhNGnSpFJtVanrJz4+nh9++MH++qWXXqJz587cfvvtHD16tCpNSi0RE3EZNxR//HH46CNwdoZPPoHmzav/Z4iIiEgFW7ZsoU2bNsyZM4dnn32WnJwcAD755JNyd/y7WFUKkPfffz95eXkAbN26lRkzZjBkyBBSUlLsC2qkbiqbB7krI5+jBcXV1/BHH8FjjxnPFy6Eq6+uvrZFRETkvKZPn864cePYs2cPbmfstzxkyBC+++67SrdXpQCZkpJCZGQkAB9//DHXX389Tz75JC+99BJfffVVVZqUWiLQy5UrQoxh5Wq7L/amTTBmjPF82jS4447qaVdEREQuyoYNG/jrX/9a4XiTJk3IyMiodHtVCpAuLi4UFhYCsHLlSgYOHAhAQECAvWdS6q6yYexq2c4nI8NYNHP8OAwaBHPnXnqbIiIiUimurq5nzWi//vorwcHBlW6vSgHy6quvZvr06Tz++OOsX7+eoUOH2ovQvSfrvuiIsg3FL7EHsqgIbrzR2LanbVt47z1wqtK6LREREbkEw4YN4//+7/8oKSkBwGKxkJqaygMPPMCoUaMq3V6VAuT8+fNxcnLio48+YsGCBfaVO1999RWDBw+uSpNSi0S3NHogd2XkkVNYxXmQNhv89a/GhuF+fvD558afIiIiUuOee+45jh07RkhICMePH6dv3760bt0ab29vnnjiiUq3V6XuoGbNmrF8+fIKx1944YWqNCe1TLC3K62CPfntcAHrU7IZ2CGs8o08/7xxq0JHR/jgA7jiiuovVERERC6Kr68vK1as4Mcff+SXX37h2LFjdO3albi4uCq1V+XxxNLSUj799FN27twJQIcOHRg2bBiOjo5VbVJqkZiIQH47XEBiVQLkl1/C/fcbz194AQYMqP4CRURE5KKUlJTg7u7O5s2b6dWrF7169brkNqsUIPfu3cuQIUNIT0+nbdu2ADz11FOEh4fzxRdf0KpVq0suTMwVHRHIO4mpld8PcscOuO02Ywj7rrtg8uTLU6CIiIhcFGdnZ5o1a0ZpaWm1tVmlOZBTp06lVatWpKWlsXHjRjZu3EhqaiotW7Zk6tSp1VacmCfm1H6QOw7mkXu85OIuOnIEhg2DvDzo0wfmz4eLvIm7iIiIXD4PPfQQDz74INnZ1bNFX5V6INeuXcu6desICAiwHwsMDOTpp5+ulm5RMV+IjxsRQZ4kZxWwISWbuMjQ819QUgI33wy//QYtWsDHH4OLS43UKiIiIuc3f/589u7dS+PGjWnevDmenp7l3t+4cWOl2qtSgHR1dSU/P7/C8WPHjuGi0FBvREcEkpxVQGLKkQsHyPvug2+/Ne5tvWwZBAXVSI0iIiJyYSNGjKjW9qoUIK+//nomTpzI66+/To8ePQBITEzk7rvvZtiwYdVaoJgnJiKAd9enXng/yIUL4eWXjeHqd96Bq66qmQJFRETkgk6ePInFYuGOO+6otv26qzQHct68ebRq1YrY2Fjc3Nxwc3OjZ8+etG7dmhdffLFaChPzle0Huf1ALnknzjEPcvVqmDLFeP7EE8YcSBEREak1nJyceOaZZzh58mT1tVmVi/z8/Pjss8/Yu3evfRuf9u3b07p162orTMwX5utGi0APfj9SSNLvR+nXLqT8Cb/9BjfdBCdPwu23w8yZ5hQqIiIi53Xttdeydu1aWrRoUS3tXXSAnD59+nnfX716tf35888/X/WKpFaJiQjk9yOFrEs+Uj5A5uUZvY3Z2dC9O7z2mlZci4iI1FLXXXcdM2fOZOvWrURFRVVYRFPZKYgXHSA3bdp0UedZFCLqleiIAN7bkMa6lDPmQVqtRo/jjh3QuDF8+im4u5tWo4iIiJzf3/72N+DsnXwWi6XSe0RedIA8s4dRGo6yeZDb0nM5VnQSL1cniI+HL74ANzf47DMjRIqIiEitZbVaq7W9Ki2ikYajsZ87zQI8KLXa+Pn3U72QH31k/DlhAnTrZl5xIiIiYgoFSLmg6FN3pVmXnG1sGP7pp8Ybf/qTeUWJiIhIpaxdu5YbbriB1q1b07p1a4YNG8b3339fpbYUIOWCYiKMYezElCPGtj1Hj0JICFx9tcmViYiIyMV4++23iYuLw8PDg6lTpzJ16lTc3d3p378/S5YsqXR7VdrGRxqW6AijB3LL/lxKNi7FGWDkSHB0NLUuERERuThPPPEEc+fOZdq0afZjU6dO5fnnn+fxxx/n9ttvr1R76oGUC2rq70FTf3c4eRLb0k+NgzfdZGpNIiIicvGSk5O54YYbKhwfNmwYKSkplW5PAVIuSnTLQHqkbcclOwsCAqBvX7NLEhERkYsUHh7OqlWrKhxfuXIl4eHhlW5PQ9hyUWIiAij89UfjxYgR4Oxsaj0iIiJy8WbMmMHUqVPZvHkzPXv2BODHH39k8eLF/Pvf/650ewqQclFiWvjj8msCACeGjcDN5HpERETk4t1zzz2EhYXx3HPP8cEHHwDGbajff/99hg8fXun2FCDlojTdtRnLsWzyXD3Z2rorvcwuSERERCpl5MiRjBw5slra0hxIuSiWjz8GYEXrHiTsP2ZyNSIiIlIZGzZsIDExscLxxMREfv7550q3pwApF2azwakAGd+2l7EfpIiIiNQZkyZNIi0trcLx9PR0Jk2aVOn2FCDlwjZsgLQ0rJ5efNeiC7+k5XK8uHI3XRcREanLsrOzGT16ND4+Pvj5+TFhwgSOHTv/iNyJEyeYNGkSgYGBeHl5MWrUKDIzMyuct3jxYjp27IibmxshISHlAt3u3bvp168foaGhuLm5ERERwcMPP0xJSUml6t+xYwddu3atcLxLly7s2LGjUm2BAqRcjFP3vrbccD0BQb4Ul1rZlHrU5KJERERqzujRo9m+fTsrVqxg+fLlfPfdd0ycOPG810ybNo3PP/+cDz/8kLVr13LgwAFuvPHGcuc8//zzPPTQQ8ycOZPt27ezcuVKBg0aZH/f2dmZMWPG8M0337B7925efPFFXn31VWbPnl2p+l1dXc8aXg8ePIiTU+WXxFhsNput0lfVc/v37yc8PJy0tDSaNm1qdjnmstmgdWtIToYPP+S+k634dPMBpva/gukD2phdnYiIiN3l+v7euXMnkZGRbNiwgW7dugEQHx/PkCFD2L9/P40bN65wTW5uLsHBwSxZsoSbTt18Y9euXbRv356EhARiYmI4evQoTZo04fPPP6d///4XXc/06dPZsGFDpe5jfdttt3Hw4EE+++wzfH19AcjJyWHEiBGEhITYV2ZfLPVAyvlt3myER3d3uO46+32x1yVrHqSIiNRO+fn55OXl2R9FRUWX1F5CQgJ+fn728AgQFxeHg4PDWRemACQlJVFSUkJcXJz9WLt27WjWrBkJCca2eCtWrMBqtZKenk779u1p2rQpN99881nnKpbZu3cv8fHx9K3kDT2effZZ0tLSaN68Of369aNfv360bNmSjIwMnnvuuUq1BQqQciGnhq+57jrw9CT6VIDcnJbDiRLNgxQRkdonMjISX19f++Opp566pPYyMjIICQkpd8zJyYmAgAAyMjLOeY2Liwt+fn7ljoeGhtqvSU5Oxmq18uSTT/Liiy/y0UcfkZ2dzYABAyguLi53Xc+ePXFzc+OKK66gd+/e/N///V+lPkOTJk3YsmULc+fOJTIykqioKP7973+zdetW3YlGqpnNdjpAnup+bxHoQYi3K4fyi9iUmkNsq0ATCxQREalox44dNGnSxP7a1dX1rOfNnDmTOXPmnLetnTt3VmttZ7JarZSUlDBv3jwGDhwIwLvvvktYWBirV68uNxfy/fffJz8/n19++YX777+fZ599ln/84x+V+nmenp4XnLc5dOhQXnvtNRo1anTe8xQg5dy2b4dffwVXVxg6FACLxUJMRCDLfjlAYsoRBUgREal1vL298fHxueB5M2bMYNy4cec9JyIigrCwMA4dOlTu+MmTJ8nOziYsLOys14WFhVFcXExOTk65XsjMzEz7NWUhLTIy0v5+cHAwQUFBpKamlmuvrJcwMjKS0tJSJk6cyIwZM3B0dLzg56yM7777juPHj1/wPAVIObdTez8ycCCc8R9idEQAy345wNfbM7m7byvcnKv3X14REZGaEBwcTHBw8AXPi42NJScnh6SkJKKiogD49ttvsVqtREdHn/WaqKgonJ2dWbVqFaNGjQKMLXlSU1OJjY0FoFevXvbjZYt+srOzycrKonnz5uesp6zn0mq1VnuAvFiaAynn9ofh6zL924Xi6eLIzoN5TF6ykZJSqwnFiYiI1Iz27dszePBg7rrrLtavX8+PP/7I5MmTufXWW+0rsNPT02nXrh3r168HwNfXlwkTJjB9+nRWr15NUlIS48ePJzY2lpiYGADatGnD8OHDuffee/npp5/Ytm0bY8eOpV27dvTr1w+Ad955hw8++ICdO3eSnJzMBx98wKxZs7jllltwdnY25x8ICpByLrt3w7Zt4OQEN9xQ7q0wXzdeG9sdVycHVu48xLT3N1Nq1W5QIiJSf73zzju0a9eO/v37M2TIEK6++moWLVpkf7+kpITdu3dTWFhoP/bCCy9w/fXXM2rUKPr06UNYWBiffPJJuXbfeustoqOjGTp0KH379sXZ2Zn4+Hh7OHRycmLOnDn06NGDjh078s9//pPJkyfz2muv1cwHPwftA3kW2gcSePJJeOghGDwYvvrqrKes3n2IiW/9TEmpjT9FNWXOqI44OFhquFARERGDvr8vnbe3N7/88gsRERHnPU89kHJ25xi+PlO/tiH857YuODpY+DBpP//8fDv6+4iIiEj9pwApFSUnw6ZN4OgIw4ef99TBVzbi2T91xGKBNxP2MSd+t0KkiIhIHfXggw8SEBBwwfO0ClsqKlt9fc01EBR0wdNHdmnK8WIrDy7dysK1v+Hp4siU/ldc3hpFRETkvJYtW3bR5w4bNgyAWbNmXdT5CpBSUdnw9altBy7G7dHNKCw+yb++2MlzK37F3cWRO3uff/6EiIiIXD4jRoy4qPMsFgulpZW7u5wCpJSXmgrr14PFAiNHVurSO3tHUFhcyvMrfuVfX+zEw8WJ26ObXaZCRURE5Hys1su3zZ7mQEp5ZdsL9O4N59hd/3ymXNuau/u2AuChT7eydNP+6qxOREREagH1QEp5VRi+PpPFYuGBwW05XnySNxP28fcPt+Du7MjgK89/T00RERG5vAoKCli7di2pqakUFxeXe2/q1KmVaksBUk47cAB++sl4fuONVW7GYrEw+4YOFBaX8mHSfqa8u4lFYxzp1zakmgoVERGRyti0aRNDhgyhsLCQgoICAgICyMrKwsPDg5CQkEoHSA1hy2lLl4LNBrGxcIkbsDo4WHh6VEeu79iIklIbd/8viYTfjlRToSIiIlIZ06ZN44YbbuDo0aO4u7uzbt069u3bR1RUFM8++2yl21OAlNPKtu+p4vD1Hzk6WHjhls7EtQ+h6KSVCW9uYGPq0WppW0RERC7e5s2bmTFjBg4ODjg6OlJUVER4eDhz587lwQcfrHR7CpBiOHQI1q41nldTgARwdnRg/u1dubp1EIXFpYx7Yz3bD+RWW/siIiJyYc7Ozjg4GLEvJCSE1NRUAHx9fUlLS6t0ewqQYvj0U7BaISoKWrSo1qbdnB1ZNCaKbs39yTtxkr+8vp69h/Kr9WeIiIjIuXXp0oUNGzYA0LdvXx599FHeeecd7rvvPq688spKt6cAKYay4evz3Pv6Uni4OPHG+O50bOpLdkExt7+ayL4jBZflZ4mIiEh5Tz75JI0aGTuiPPHEE/j7+3PPPfdw+PBhFi1aVOn2LDbduLiC/fv3Ex4eTlpaGk0vcTFJnXDkCISGQmkp/PorXHH5bkN4tKCYWxetY3dmPk383Pnw7lga+7lftp8nIiINR4P7/jaReiAFli0zwmPHjpc1PAL4e7rwvzt70DLIk/Sc44x+LZFD+Scu688UERERw6FDh/j+++/5/vvvOXz4cJXbUYCUyz58/Uch3m68c2c0TfzcSckq4C+vredoQfGFLxQREZEqyc/P5y9/+QtNmjShb9++9O3bl8aNG/PnP/+Z3NzKL25VgGzocnPhm2+M59W4+vpCGvu5s+SuaEK8Xdmdmc/Y/64n70RJjf18ERGRhuTOO+8kMTGR5cuXk5OTQ05ODsuXL+fnn3/mr3/9a6XbU4Bs6JYvh5ISaN8eIiNr9Ec3D/TknTujCfB0Ycv+XCYs3kBh8ckarUFERKQhWL58OW+88QaDBg3Cx8cHHx8fBg0axKuvvsrnn39e6fYUIBu6sntf19Dw9R9dEerNW3f0wMfNiQ2/H2XiW0mcKCk1pRYREZH6KjAwEF9f3wrHfX198ff3r3R7CpAN2bFjEB9vPK/B4es/urKJL4vv6IGHiyM/7M1i8pKNlJRaTatHRESkvnn44YeZPn06GRkZ9mMZGRncf//9PPLII5Vur1YEyJdeeokWLVrg5uZGdHQ069evP+e5r776Kr1798bf3x9/f3/i4uIqnG+z2Xj00Udp1KgR7u7uxMXFsWfPnsv9MeqeL7+EEyegdWtjBbaJujbz5/Wx3XF1cmDlzkNMe38zpVbtMCUiIlJVXbp0oWvXrnTt2pWFCxeybt06mjVrRuvWrWndujXNmjXjp59+4pVXXql0206Xod5Kef/995k+fToLFy4kOjqaF198kUGDBrF7925CQkIqnL9mzRpuu+02evbsiZubG3PmzGHgwIFs376dJk2aADB37lzmzZvHm2++ScuWLXnkkUcYNGgQO3bswM3NraY/Yu115vC1xWJuLUBsq0AW/iWKiW/9zPItB3F3dmTOqI44OJhfm4iISF0zYsSIy9a26RuJR0dH0717d+bPnw+A1WolPDycKVOmMHPmzAteX1pair+/P/Pnz2fMmDHYbDYaN27MjBkz+Pvf/w5Abm4uoaGhLF68mFtvvfWCbTaIjUgLCyEkBAoKYMMG6NbN7Irs4rcdZNKSTZRabYyNbc5jwzpgqQUBV0REarcG8f1dS5g6hF1cXExSUhJxcXH2Yw4ODsTFxZGQkHBRbRQWFlJSUkJAQAAAKSkpZGRklGvT19eX6Ojoi26zQfj6ayM8Nm9u3P+6Fhl8ZSOe/VNHLBZ4M2Efc+J3oxsmiYiIXLqkpCTefvtt3n77bTZt2lTldkwdws7KyqK0tJTQ0NByx0NDQ9m1a9dFtfHAAw/QuHFje2Asmxx6tjbPnDh6pqKiIoqKiuyv8/PzL/oz1Fllw9ejRtWK4es/GtmlKceLrTy4dCsL1/6Gp4sjU/pf3rvkiIiI1FeHDh3i1ltvZc2aNfj5+QGQk5NDv379eO+99wgODq5Ue7ViEU1VPf3007z33nssXbr0kuY2PvXUU/j6+tofkTW8H2KNKyqCsj2fTNq+52LcHt2Mh4e2B+C5Fb/y2vfJJlckIiJSN02ZMoX8/Hy2b99OdnY22dnZbNu2jby8PKZOnVrp9kwNkEFBQTg6OpKZmVnueGZmJmFhYee99tlnn+Xpp5/mm2++oeMZK4jLrqtMm7NmzSI3N9f+2LFjR1U+Tt2xYgXk50OTJhAdbXY153Vn7wimD2gDwL++2MmSxFSTKxIREal74uPjefnll2nfvr39WGRkJC+99BJfffVVpdszNUC6uLgQFRXFqlWr7MesViurVq0iNjb2nNfNnTuXxx9/nPj4eLr9YfFHy5YtCQsLK9dmXl4eiYmJ52zT1dXVviu7j48P3t7el/jJarmye1/feCM41P5O6CnXtubuvq0AeOjTrSzdtN/kikREROoWq9WKs7NzhePOzs5YrZXfe9n09DB9+nReffVV3nzzTXbu3Mk999xDQUEB48ePB2DMmDHMmjXLfv6cOXN45JFHeOONN2jRogUZGRlkZGRw7NgxACwWC/fddx//+te/WLZsGVu3bmXMmDE0btz4si5nrzOKi+HTT43ntXj4+kwWi4UHBrdlTGxzbDb4+4dbiN920OyyRERE6oxrr72We++9lwMHDtiPpaenM23aNPr371/p9kzfB/KWW27h8OHDPProo2RkZNC5c2fi4+Pti2BSU1NxOKOXbMGCBRQXF3PTH8LP7NmzeeyxxwD4xz/+QUFBARMnTiQnJ4err76a+Ph47QEJsHo15OQYW/j06mV2NRfNYrHw2A0dKCwu5aOk/Ux5dxOLxjjSr23FvUJFRESkvPnz5zNs2DBatGhBeHg4AGlpaVx55ZW8/fbblW7P9H0ga6N6vY/UxInw6qtw992wYIHZ1VRaqdXGve9tYvmWg7g6ObB4fA9iWwWaXZaIiNQC9fr7uxrYbDZWrlxp3+mmffv25bY9rAzTeyClBp08CUuXGs/ryPD1Hzk6WHjhls6cKCll5c5DTHhzA2/fGU3XZpW/EbyIiEhDYrFYGDBgAAMGDLjkthQgG5LvvoOsLAgMhL59za6mypwdHZh/e1fufPNnftibxbg31vPuxBg6NPY1uzQREZFaY968eRd9bmW38lGAbEjKVl+PGAFOdftX7+bsyKIxUYx5fT0/7zvKX15fzwd/jaF1SD1fQS8iInKRXnjhhYs6z2KxKEDKOVit8MknxvNRo8ytpZp4uDjxxvju/Pm1RLbsz+X2VxP58O5Ymgd6ml2aiIiI6VJSUi5b2wqQDcVPP0FGBvj6QhWW69dWPm7OvDm+B7cuWsfuzHx7iGzs5252aSIiIrXG9OnTz3rcYrHg5uZG69atGT58OAEBARfVngJkQ1F27+vhw8HFxdxaqpm/pwv/u7MHt7yyjpSsAka/lsj7f40hxFvbNomIiABs2rSJjRs3UlpaStu2bQH49ddfcXR0pF27drz88svMmDGDH3744aJu6Wz6RuJSA6zW0/Mf68nw9R+FeLvxzp3RNPFzJyWrgL+8tp6jBcVmlyUiIlIrDB8+nLi4OA4cOEBSUhJJSUns37+fAQMGcNttt5Genk6fPn2YNm3aRbWnfSDPot7tI5WYCDEx4OUFhw9DPd5Qfd+RAv60MIFD+UV0bOrL23dG4+NW8dZNIiJS/9S77+9q1KRJE1asWFGhd3H79u0MHDiQ9PR0Nm7cyMCBA8nKyrpge+qBbAjKhq9vuKFeh0eA5oGevHNnNAGeLmzZn8uExRsoLD5pdlkiIiKmys3N5dChQxWOHz58mLy8PAD8/PwoLr640TsFyPrOZqv3w9d/dEWoN2/d0QMfNyc2/H6UiW8lcaKk1OyyRERETDN8+HDuuOMOli5dyv79+9m/fz9Lly5lwoQJjBgxAoD169fTpk2bi2pPAbK+27QJUlLAwwOuu87samrMlU18WXxHDzxcHPlhbxaTl2ykpNRqdlkiIiKmeOWVV+jfvz+33norzZs3p3nz5tx6663079+fhQsXAtCuXTtee+21i2pPAbK+Kxu+vu46I0Q2IF2b+fP62O64Ojmwcuchpr2/mVKrpvyKiEjlZWdnM3r0aHx8fPDz82PChAkcO3bsvNecOHGCSZMmERgYiJeXF6NGjSIzM7PCeYsXL6Zjx464ubkREhLCpEmTztre3r178fb2xs/Pr9L1e3l58eqrr3LkyBE2bdrEpk2bOHLkCIsWLcLT09g/uXPnznTu3Pmi2lOArM9sttMBso7e+/pSxbYKZOFfonB2tLB8y0FmfrwFq0KkiIhU0ujRo9m+fTsrVqxg+fLlfPfdd0ycOPG810ybNo3PP/+cDz/8kLVr13LgwAFuvPHGcuc8//zzPPTQQ8ycOZPt27ezcuVKBg0aVKGtkpISbrvtNnr37n1Jn8PLy4uOHTvSsWNHvLy8qtyOVmGfRb1ZxbV1K3TsCK6uxupr74Z7m7/4bQeZtGQTpVYbY2Ob89iwDlgsFrPLEhGRanS5vr937txJZGQkGzZsoFu3bgDEx8czZMgQ9u/fT+PGjStck5ubS3BwMEuWLOGmU504u3bton379iQkJBATE8PRo0dp0qQJn3/+Of0vcJOPBx54gAMHDtC/f3/uu+8+cnJyqu3zVYV6IOuzssUzgwY16PAIMPjKRjz7p45YLPBmwj7mxO9Gf3cSEZGLkZCQgJ+fnz08AsTFxeHg4EBiYuJZr0lKSqKkpIS4uDj7sXbt2tGsWTMSEhIAWLFiBVarlfT0dNq3b0/Tpk25+eabSUtLK9fWt99+y4cffshLL710GT5d1ShA1mcNfPj6j0Z2acoTI64CYOHa35j/7V6TKxIRkcshPz+fvLw8+6OoqOiS2svIyCAkJKTcMScnJwICAsjIyDjnNS4uLhXmK4aGhtqvSU5Oxmq18uSTT/Liiy/y0UcfkZ2dzYABA+zb6Rw5coRx48axePFifHx8LulzVCcFyPpq1y7Yvh2cnY39HwWA26Ob8fDQ9gA8t+JXXvs+2eSKRESkukVGRuLr62t/PPXUU2c9b+bMmVgslvM+du3addnqtFqtlJSUMG/ePAYNGkRMTAzvvvsue/bsYfXq1QDcdddd3H777fTp0+ey1VEVuhd2fVU2fB0XB1VYrVWf3dk7gsLiUp5f8Sv/+mInAON7tcTRQXMiRUTqgx07dtCkSRP7a1dX17OeN2PGDMaNG3fetiIiIggLC6uwCffJkyfJzs4mLCzsrNeFhYVRXFxMTk5OuV7IzMxM+zWNGjUCKHd3mODgYIKCgkhNTQWM4etly5bx7LPPAmCz2bBarTg5ObFo0SLuuOOO89Z/uShA1lcavj6vKde2prC4lIVrf+NfX+zkg5/TuH9QO+Lah2hxjYhIHeft7X1Rw73BwcEEBwdf8LzY2FhycnJISkoiKioKMIKd1WolOjr6rNdERUXh7OzMqlWrGHXqRh67d+8mNTWV2NhYAHr16mU/XrboJzs7m6ysLJo3bw4Y8y9LS0/fDOOzzz5jzpw5/PTTT+VCck3TKuyzqPOrsH/7DVq3BkdHyMyEwECzK6qVbDYbb/z4O/NW7SH3eAkAUc39eWBwO3q0DDC5OhERqazL+f193XXXkZmZycKFCykpKWH8+PF069aNJUuWAJCenk7//v1566236NGjBwD33HMPX375pX3+4pQpUwD46aef7O2OGDGCvXv3smjRInx8fJg1axbJycls3rwZZ2fnCnUsXrxYq7DlMikbvu7XT+HxPCwWCxOubsl3/+jH365phZuzA0n7jnLzKwmM/+96dh7MM7tEERGpJd555x3atWtH//79GTJkCFdffTWLFi2yv19SUsLu3bspLCy0H3vhhRe4/vrrGTVqFH369CEsLIxPPvmkXLtvvfUW0dHRDB06lL59++Ls7Ex8fPxZw2Ntoh7Is6jzPZA9esCGDbBwIfz1r2ZXU2dk5p1g3qo9vLchjVKrDYsFhndqzPQBbWkW2LDu4iMiUhfV+e/vOkQ9kPXNvn1GeLRY4NTN0eXihPq48cTIq1g5vS83dGqMzQafbj5A/+fXMPuzbRzOv7RtIEREROoLBcj6pqxrvE8fCA01t5Y6qmWQJ/+5rQvLp1xNnzbBlJTaeDNhH32fWc3z3+wm70SJ2SWKiIiYSgGyvilbfX1qxZdU3ZVNfHnrjh4suSuaTuF+FBaXMu/bvfSdu5rXvk/mREnphRsRERGphxQg65P0dChb2fWHm7VL1fVsFcSnf+vJwj9H0SrYk6OFJfzri51c++waPvg5jZOlVrNLFBERqVEKkPXJ0qXGnz17gol7Q9VHFouFwVeG8fV9fZg7qiONfN04kHuCf3y0hcH//p6vt2fo3toiItJgKEDWJ2Xb92j4+rJxcnTg5u7hrP77NTw0pD1+Hs7sPXSMv/4viRsX/MS65CNmlygiInLZKUDWF5mZ8N13xnMFyMvOzdmRu/pE8N0/+jG5X2vcnR3ZlJrDrYvWMfaN9WxLzzW7RBERkctGAbK++PRTsFqhWzc4dfsjufx83Jz5+6C2rP3HNfwlpjlODhbW/nqY6//zA1Pf3cTvWQVmlygiIlLtFCDri7Lha9372hQh3m48PuJKVs3oy/DOjQFY9ssB4p5fy8OfbuVQ3gmTKxQREak+CpD1wZEj8O23xnMNX5uqeaAn/761C19MvZpr2gZz0mrj7XWp9H1mDc98vUt7SIqISL2gAFkffPYZlJZCp07QurXZ1QjQobEvi8f34L2JMXRp5sfxklJeWv0bfeauZtF3v2kPSRERqdMUIOsDDV/XWjERgXxyT08W/SWKK0K8yCks4ckvd9Hv2TW8vyFVe0iKiEidpABZ1+XkwIoVxnMNX9dKFouFgR3CiL+vD8/c1JHGvm4czD3BAx9vZeCL3/HV1oPaQ1JEROoUBci6bvlyKCmByEho397sauQ8HB0s/KlbON/+/RoeHtoefw9nkg8XcM87Gxnx0o/8tDfL7BJFREQuigJkXVd272sNX9cZbs6O3Nnb2ENyav8r8HBx5Jf9udz+WiJ/eT2Rrfu1h6SIiNRuCpB1WX4+xMcbzzV8Xed4uzkzfUAb1t7fj3E9W+DsaOH7PVncMP8HJi3ZSIr2kBQRkVpKAbIu+/JLKCqCK66Aq64yuxqpomBvVx4b1oFV069hZJcmWCzwxZaDxD2/lgeXbiVTe0iKiEgtowBZl505fG2xmFuLXLJmgR68cEtnvpzam2vbhVBqtbEkMZW+z6xmTvwucgu1h6SIiNQOCpB1VWGh0QMJGr6uZ9o38uGNcd354K+xRDX350SJlQVrfqPPM6tZuPY3jhdrD0kRETGXAmRdFR9vhMgWLaBrV7OrkcugR8sAPro7ltfGdKNtqDe5x0t4+qtdXPPsapYkag9JERExjwJkXVU2fD1qlIav6zGLxUJcZChf3tub5/7UiSZ+7mTmFfHg0q0MfOE7vtiiPSRFRKTmKUDWRSdOGPs/grbvaSAcHSyMimrKt3/vy+wbIgn0dCE5q4BJSzYybP6P/LBHe0iKiEjNUYCsi1asMLbwadoUevQwuxqpQa5Ojozv1ZK1/+jHfXFX4OniyNb0XP78eiKjFvzE/xJ+53B+kdlliohIPedkdgFSBWX3vr7xRnDQ3wEaIi9XJ+6La8OfY5rz0uq9vLMulaR9R0nad5TZy7YT3TKQoR0bMfjKMIK8XM0uV0RE6hmLTROoKti/fz/h4eGkpaXRtGlTs8spr7gYQkONe2B/9x307m12RVILHMw9zvJfDrJ860F+ScuxH3ewQGyrQIZc1YjBHcIIVJgUkXqsVn9/1zMKkGdRq/8FjI+H664zQmR6Ojg6ml2R1DJp2YV8ufUgX2w9yJYzbovo6GAhNsLomRzUIYwATxcTqxQRqX61+vu7ntEQdl1z5vC1wqOcRXiAB3/t24q/9m1F6pFCvth6kC+2HmBbeh4/7M3ih71ZPPzpNnq2CuT6jo0YGBmGv8KkiIhUgnogz6LW/g3m5EkIC4MjR2DVKrj2WrMrkjpk35ECI0xuOcj2A3n2404OFnq1DjJ6JiPD8PVwNrFKEZGqq7Xf3/WQAuRZ1Np/AVetgrg4CAyEjAxwUgeyVE1KVgFfbj3I8i0H2XnwdJh0drRwdesghnZszIDIUHzdFSZFpO6otd/f9ZASSF1SNnw9cqTCo1ySlkGeTOrXmkn9WvPb4WN8ucWYM7krI5/Vuw+zevdhnB0t9LkimKEdGxEXGYqPm8KkiIgY1AN5FrXybzClpdCkCWRmwldfweDBZlck9dDeQ/l8sSWDL7Ye4NfMY/bjLo4O9GljDHPHtQ/FW2FSRGqhWvn9XU8pQJ5FrfwX8PvvoU8f8PMzQqSLFj3I5bUnM58vTg1z7z10Rph0cqBvm2Cu79iI/u1D8XJVb7iI1A618vu7ntL/+euKsntfDx+u8Cg14opQb+4L9ea+uDb8mpnP8i0HWb7lAMmHC1ixI5MVOzJxcXKgX9tghnZsTP92IXgqTIqINAj6v31dYLWenv84apS5tUiD1CbUm+kDvJkWdwW7M/P5Youxmjs5q4Cvt2fy9fZMXJ0cuLZdCEM7NuLadiF4uOh/LyIi9ZX+D18XrF9vbBru7Q0DBphdjTRgFouFdmE+tAvzYfqANuw8mH9qNfcBfj9SyFfbMvhqWwZuzg70bxfK0I6N6Nc2BHcX7VkqIlKfKEDWBWXD1zfcAG5u5tYicorFYiGysQ+RjX2YMbANOw7m8cUWY85kanbZBuYHcXd25Nr2IVx/VSOuUZgUEakXFCBrO5tNw9dS61ksFjo09qVDY1/uH9SW7QfyWL7FuANOWvZx+5C3h4sj/duHMvSqRlzTNhg3Z4VJEZG6SKuwz6JWreJKSoJu3cDDAw4fNv4UqSNsNhtb03PtPZPpOcft73m6OBIXaYTJPm0UJkXk0tWq7+96Tj2QtV3Z8PWQIQqPUudYLBY6NvWjY1M/Zl7Xjl/25/Llqdsppucc57PNB/hs8wG8XJ0YcCpM9m4ThKuTwqSISG2mAFmb2WynA+RNN5lbi8glslgsdA73o3O4H7Oua8fmtBxjaHvrQQ7mnmDppnSWbkrHw8WR2IhAel8RRO82wUQEeWKxWMwuX0REzqAh7LOoNV3gW7ZAp07GwplDh4xV2CL1jNVqY9OpMPnl1oNk5J0o934TP3f6tAmi9xXB9GwViJ+H9kEVkbOrNd/fDYB6IGuzst7HQYMUHqXecnCwENXcn6jm/jw8tD07M/L4fk8W3+85zIaUo6TnHOfd9Wm8uz4NBwt0bOpHn1O9k53D/XB2dDD7I4iINDgKkLVZ2eprDV9LA+HgcHo19919W3G8uJTElCP2QPlr5jE2p+WwOS2Hed/uxcvVidhWgUagvCKY5oEeGu4WEakB+qt7bbVzJ+zYAc7OcP31ZlcjYgp3F0euaRvCI9dH8s20vqyb1Z9nburIsE6NCfB04VjRSVbsyOSRz7ZzzbNr6PPMah5cupX4bQfJPV5idvkiUo9kZ2czevRofHx88PPzY8KECRw7duy815w4cYJJkyYRGBiIl5cXo0aNIjMzs8J5ixcvpmPHjri5uRESEsKkSZPs7/3+++9YLJYKj3Xr1lX7Z6wM9UDWVmW9jwMGgJ+fqaWI1BZhvm78qVs4f+oWjtVqY8fBPL7bc5jvf83i533ZpGUfZ0liKksSU3GwQOdwP3pfEUyfNkF0auqHk4a7RaSKRo8ezcGDB1mxYgUlJSWMHz+eiRMnsmTJknNeM23aNL744gs+/PBDfH19mTx5MjfeeCM//vij/Zznn3+e5557jmeeeYbo6GgKCgr4/fffK7S1cuVKOnToYH8dGBhYrZ+v0mwmmz9/vq158+Y2V1dXW48ePWyJiYnnPHfbtm22G2+80da8eXMbYHvhhRcqnJOXl2e79957bc2aNbO5ubnZYmNjbevXr69UTWlpaTbAlpaWVtmPU306dbLZwGZ74w3zahCpQ46dKLF9uzPT9tiybbb+z62xNX9gebnHlY/G2ya+tcH2v4TfbfuyCswuV0Qug8v1/b1jxw4bYNuwYYP92FdffWWzWCy29PT0s16Tk5Njc3Z2tn344Yf2Yzt37rQBtoSEBJvNZrNlZ2fb3N3dbStXrjznz05JSbEBtk2bNlXPh6kmpv51/P3332f69OnMnj2bjRs30qlTJwYNGsShQ4fOen5hYSERERE8/fTThIWFnfWcO++8kxUrVvC///2PrVu3MnDgQOLi4khPT7+cH6V67d0Lv/wCjo4wbJjZ1YjUCZ6uTvRrF8LsGzqwcnpffpp5LXNHdeT6jo3w83Amv+gkX2/P5OFPt9HnmdX0fWY1D3+6la+3Z5B3QsPdIvVJfn4+eXl59kdRUdEltZeQkICfnx/dunWzH4uLi8PBwYHExMSzXpOUlERJSQlxcXH2Y+3ataNZs2YkJCQAsGLFCqxWK+np6bRv356mTZty8803k5aWVqG9YcOGERISwtVXX82yZcsu6fNUB1MD5PPPP89dd93F+PHjiYyMZOHChXh4ePDGG2+c9fzu3bvzzDPPcOutt+Lq6lrh/ePHj/Pxxx8zd+5c+vTpQ+vWrXnsscdo3bo1CxYsuNwfp/qUDV9fey2Y3UUtUkc19nPn5u7hzL+9K0kPD+CzSb34+8A29GgZgJODhX1HCnl7XSp//V8SXf5vBTct+Il5q/awKfUopVbtbiZSl0VGRuLr62t/PPXUU5fUXkZGBiEhIeWOOTk5ERAQQEZGxjmvcXFxwe8P09BCQ0Pt1yQnJ2O1WnnyySd58cUX+eijj8jOzmbAgAEUFxcD4OXlxXPPPceHH37IF198wdVXX82IESNMD5GmzYEsLi4mKSmJWbNm2Y85ODgQFxdnT+aVdfLkSUpLS3Fzcyt33N3dnR9++OGS6q1R2jxcpFo5OljoFO5Hp3A/Jl97BceKTrLutyN8v+cw3+/JIjmrgJ/3HeXnfUd5fsWv+Lg5cfWpld29rwiiqb/uAiVSl+zYsYMmTZrYX5+t0wlg5syZzJkz57xt7dy5s1prO5PVaqWkpIR58+YxcOBAAN59913CwsJYvXo1gwYNIigoiOnTp9uv6d69OwcOHOCZZ55hmImjlKYFyKysLEpLSwkNDS13PDQ0lF27dlWpTW9vb2JjY3n88cdp3749oaGhvPvuuyQkJNC6detzXldUVFSuezs/P79KP79a7NsHP/8MDg4wYoR5dYjUY16uTsRFhhIXafz/Jy27kB/2GlsF/bAni7wTJ/lyawZfbjV6CSKCPI0741wRTEyrQLxctf5QpDbz9vbGx8fngufNmDGDcePGnfeciIgIwsLCKkyvO3nyJNnZ2eecUhcWFkZxcTE5OTnleiEzMzPt1zRq1AgwekzLBAcHExQURGpq6jlrio6OZsWKFeet+3Krd/8X/N///scdd9xBkyZNcHR0pGvXrtx2220kJSWd85qnnnqKf/7znzVY5XmUDV/36QN/6C4XkcsjPMCD23o047YezSi12tiyP8e+9+TG1BySswpIzirgzYR9ODlY6Nrc37735JVNfHF00N6TInVRcHAwwcHBFzwvNjaWnJwckpKSiIqKAuDbb7/FarUSHR191muioqJwdnZm1apVjBo1CoDdu3eTmppKbGwsAL169bIfL7tzTnZ2NllZWTRv3vyc9WzevNkePs1iWoAMCgrC0dGxwn5IZybzqmjVqhVr166loKCAvLw8GjVqxC233EJERMQ5r5k1a1a57uH09PRyfxuoUWXD16f+ZRORmuXoYKFLM3+6NPNnav8ryDtRcmq42wiUvx8pZH1KNutTsnn2m1/x83CmV+sge6Bs7Odu9kcQkWrWvn17Bg8ezF133cXChQspKSlh8uTJ3HrrrTRu3BgwskP//v1566236NGjB76+vkyYMIHp06cTEBCAj48PU6ZMITY2lpiYGADatGnD8OHDuffee1m0aBE+Pj7MmjWLdu3a0a9fPwDefPNNXFxc6NKlCwCffPIJb7zxBq+99po5/zBOMS1Auri4EBUVxapVqxhxaqjWarWyatUqJk+efMnte3p64unpydGjR/n666+ZO3fuOc91dXUtNz8iLy/vkn9+laSnQ9n8zxtvNKcGESnHx82ZgR3CGNjB+Itt6pFCvt9r7D35429Z5BSW8MWWg3yx5SAArYI96X1FMLGtAmkd4kWzAA/dblGkHnjnnXeYPHky/fv3x8HBgVGjRjFv3jz7+yUlJezevZvCwkL7sRdeeMF+blFREYMGDeLll18u1+5bb73FtGnTGDp0KA4ODvTt25f4+HicnZ3t5zz++OPs27cPJycn2rVrx/vvv89NJq+TsNhsNtOWG77//vuMHTuWV155hR49evDiiy/ywQcfsGvXLkJDQxkzZgxNmjSxr54qLi5mx44dAAwZMoTRo0czevRovLy87HMcv/76a2w2G23btmXv3r3cf//9uLm58f3335f7ZZyPaTdj/89/YOpU6NUL6tKiH5EG6mSplV/25/L9nsN89+thNqfl8McF3I4OFpoFeBAR5ElEsCcRwV60PPU82MtVt14UqUamfX83QKbOgbzllls4fPgwjz76KBkZGXTu3Jn4+Hj7wprU1FQcHE7/zf3AgQP2LlyAZ599lmeffZa+ffuyZs0aAHJzc5k1axb79+8nICCAUaNG8cQTT1x0eDRV2fxHDV+L1AlOjg5ENfcnqrk/98W1Ifd4CQm/ZfHdniw2p+bw+5ECCotLSckqICWrgFV/WB/o7epEy2DPU+HydLBsGeSJh0u9m6IuIvWIqT2QtZUpf4PJzIRGjcBmM1ZiN2tWMz9XRC4bm81GRt4JUg4X8FtWAcmHj5F82AiT+48WVuitPFMjXzejxzLodLBsFexFYz93LdoROQf1QNYc/RW3tli61AiP3bsrPIrUExaLhUa+7jTydadn66By7xWdLGXfkUKSDxeQnHU6WCYfPsbRwhIO5p7gYO4Jftx7pNx1Lk4OtAj0ICLIy95bGRHsRatgT/w8XGry44lIA6YAWVuUDV9r83CRBsHVyZE2od60CfWu8N7RgmJj66DDx0jOKiDlVMj8PauQ4pNWfs08xq+Zxypc5+/hTESwFxFBnqeGxo1g2SzQA1cnx5r4WCLSQChA1gZZWbB6tfFc8x9FGjx/TxeiPF2Iau5f7nip1caBnOP8dsZQeFnv5cHcExwtLCFp31GS9h0td52DBZr6e5TvsTz1Z6iPFvKISOUpQNYGn30GpaXQuTO0amV2NSJSSzk6WAgP8CA8wINr2pZ/r7D45Kkh8IJT4fLYqV7MAo4VnSQ1u5DU7ELW7D5c7joPF0d7qGwZ5EmrsnmXwZ66446InJP+71AbaPhaRC6Rh4sTHRr70qGxb7njNpuNw8eKygfLw8addVKzCyksLmX7gTy2H6i4/22It6t966FWwcacy9ZayCMiKECaLycHVq40nmv4WkSqmcViIcTbjRBvN2IiAsu9V1JqJTW7sHywPBUus44VcSjfeKxLzi53nauTw6neSi/76vCyoKleS5GGQf+lm+3zz6GkBDp0gHbtzK5GRBoQZ0cHWp3qXYTQcu/lHi+xrwpPPlxQbt5l0UkruzLy2ZWRX6HNUB/XPwRLYyFPY193HNRrKVJvKECareze1xq+FpFaxNfdmc7hfnQO9yt3vNRqI/2osZDHeJwOl1nHisjMMx4//VZ++yE3ZwdanloVXhYqW52ad+mpXkuROkf/1ZopPx++/tp4ruFrEakDHB0sNAv0oFmgB/3ahZR7L/d4CcmnQmXyqYCZfLiA348UcKLEys6Deew8WHGuZSNftwrD4a2CvWjk66YV4iK1lAKkmb74AoqKoE0buPJKs6sREbkkvu7OdGnmT5dm5bcfOllqZf8ZvZZnDokfKSi2b5r+w96scteVrRCvMNcyyAt3F+1rKWImBUgznTl8rb9li0g95eToQIsgT1oEedK/ffm5ljmFxeWGwctCZuqR868Qb+Lnbg+Vrc5YKa59LUVqhgKkWQoK4KuvjOcavhaRBsrPw4Wo5hU3TT9zhbgRLk/Pt8wpLCE95zjpOcf5fk/5XktPF0fjbjz2cHn6lo9uzuq1FKkuCpBmiY+HwkJo2RK6dDG7GhGRWuXMFeID/rBCPLuguNwcy7LFPKnZhRQUl7I1PZet6bkV2gz0dCHM141Gvm6n/nQv9zzMx01D4yIXSQHSLGXD16NGafhaRKQSAjxdCPAMoFuLgHLHi09aSc0uqDgkfugYeSdOcqSgmCMFxWcdEi/j5+FMmE9ZyDwzYJ4+pr0uRRQgzXHiBCxfbjzX9j0iItXCxcmB1iHetA7xLnfcZrORU1jCwdwTZOQdN/48tXDH+NM4VlhcSk5hCTmFJWfd47KMt6sTYWcEywpB08cdH3cnzcWUek0B0gzffAPHjkF4OPToYXY1IiL1msViwd/TBX9PFyIb+5z1HJvNRn7RSXuwPJhzRtDMO0HGqZCZf+Ik+UUnyT90jD2Hjp3zZ7o7O9pDZbmg6XP6dYCni0Km1FkKkGYoG76+8UYNX4uI1AIWiwUfN2d83JxpE+p9zvOOnQqZZT2XpwNmWY/mcY4WlnC8pJTkLOO2kOfi4uRAmI9buXmZjX3dy70O8nTVHXykVlKArGnFxbBsmfFcw9ciInWKl6sTrUO8aB3idc5zTpSUng6UZx0yP0HWsaJTczYLSc0uPGdbTg4WQn1OB8owHzf8PV3wcXfGz90ZX3dn/DxO/enugrebkwKn1AgFyJq2ahXk5kJYGPTsaXY1IiJSzdycHe37Xp5L0clSDuUVndpE/Xj5gHlqyPxQfhEnrTb7lkUXw2IBH7fywdL3LEHT54/HPJxxd3bUkLpcNAXImvbxx8afN94IDg7m1iIiIqZwdXIkPMCD8ACPc55TUmrlcH5RucU+mXknyCksIfd4CTnHS8g7XmJ/fbykFJvNuKVk7vESUrMrV5OzowVfdxd83Z3w83A5FTadjd5Oj7OFUhf7cxcnfZ81NAqQNamkBJYuNZ5r+FpERM7D2dGBxn7uNPZzv6jzi06WkvuHUFkxbBbbX5957kmrjZJSG1nHisg6VgSce+7m2Xi4OFYMm+4u+HpU7AEte8/f0xlvN+cq/JOR2kABsiatXQvZ2RAUBL17m12NiIjUI65OjoR4OxLi7Vap62w2m7GF0fEScgtLyDleXC6Enhk4c+2BtJjcwhLyTpwEoLC4lMLiUg7knrjonzuoQyiv/KVbpWqV2kMBsialp4OfH4wcCU76Ry8iIuazWCx4ujrh6epEk4vs7SxTarWRf+JcYbP4HL2gxms/d5fL9ImkJijF1KSxY+G22yD/3BvUioiI1BWODhb8PFzw86h8GLRabZehIqkpmvVa01xcIDDQ7CpERERMpe2G6jYFSBERERGpFAVIEREREakUBUgRERERqRQFSBERERGpFAVIEREREakUBUgRERERqRQFSBERERGpFAVIEREREakUBUgRERERqRQFSBERERGpFAVIEREREakUBUgRERERqRQFSBERERGpFCezC6iNrFYrAAcPHjS5EhEREblYZd/bZd/jcvkoQJ5FZmYmAD169DC5EhEREamszMxMmjVrZnYZ9ZrFZrPZzC6itjl58iSbNm0iNDQUB4fqHeXPz88nMjKSHTt24O3tXa1tS+Xp91G76PdRu+j3Ufvod3J+VquVzMxMunTpgpOT+sguJwXIGpaXl4evry+5ubn4+PiYXU6Dp99H7aLfR+2i30fto9+J1BZaRCMiIiIilaIAKSIiIiKVogBZw1xdXZk9ezaurq5mlyLo91Hb6PdRu+j3UfvodyK1heZAioiIiEilqAdSRERERCpFAVJEREREKkUBUkREREQqRQFSRERERCpFAbIGvfTSS7Ro0QI3Nzeio6NZv3692SU1WE899RTdu3fH29ubkJAQRowYwe7du80uS4Cnn34ai8XCfffdZ3YpDVp6ejp//vOfCQwMxN3dnauuuoqff/7Z7LIapNLSUh555BFatmyJu7s7rVq14vHHH0drYMVMCpA15P3332f69OnMnj2bjRs30qlTJwYNGsShQ4fMLq1BWrt2LZMmTWLdunWsWLGCkpISBg4cSEFBgdmlNWgbNmzglVdeoWPHjmaX0qAdPXqUXr164ezszFdffcWOHTt47rnn8Pf3N7u0BmnOnDksWLCA+fPns3PnTubMmcPcuXP5z3/+Y3Zp0oBpG58aEh0dTffu3Zk/fz5g3K8zPDycKVOmMHPmTJOrk8OHDxMSEsLatWvp06eP2eU0SMeOHaNr1668/PLL/Otf/6Jz5868+OKLZpfVIM2cOZMff/yR77//3uxSBLj++usJDQ3l9ddftx8bNWoU7u7uvP322yZWJg2ZeiBrQHFxMUlJScTFxdmPOTg4EBcXR0JCgomVSZnc3FwAAgICTK6k4Zo0aRJDhw4t99+JmGPZsmV069aNP/3pT4SEhNClSxdeffVVs8tqsHr27MmqVav49ddfAfjll1/44YcfuO6660yuTBoyJ7MLaAiysrIoLS0lNDS03PHQ0FB27dplUlVSxmq1ct9999GrVy+uvPJKs8tpkN577z02btzIhg0bzC5FgOTkZBYsWMD06dN58MEH2bBhA1OnTsXFxYWxY8eaXV6DM3PmTPLy8mjXrh2Ojo6UlpbyxBNPMHr0aLNLkwZMAVIavEmTJrFt2zZ++OEHs0tpkNLS0rj33ntZsWIFbm5uZpcjGH+p6tatG08++SQAXbp0Ydu2bSxcuFAB0gQffPAB77zzDkuWLKFDhw5s3ryZ++67j8aNG+v3IaZRgKwBQUFBODo6kpmZWe54ZmYmYWFhJlUlAJMnT2b58uV89913NG3a1OxyGqSkpCQOHTpE165d7cdKS0v57rvvmD9/PkVFRTg6OppYYcPTqFEjIiMjyx1r3749H3/8sUkVNWz3338/M2fO5NZbbwXgqquuYt++fTz11FMKkGIazYGsAS4uLkRFRbFq1Sr7MavVyqpVq4iNjTWxsobLZrMxefJkli5dyrfffkvLli3NLqnB6t+/P1u3bmXz5s32R7du3Rg9ejSbN29WeDRBr169Kmxr9euvv9K8eXOTKmrYCgsLcXAo/3Xt6OiI1Wo1qSIR9UDWmOnTpzN27Fi6detGjx49ePHFFykoKGD8+PFml9YgTZo0iSVLlvDZZ5/h7e1NRkYGAL6+vri7u5tcXcPi7e1dYe6pp6cngYGBmpNqkmnTptGzZ0+efPJJbr75ZtavX8+iRYtYtGiR2aU1SDfccANPPPEEzZo1o0OHDmzatInnn3+eO+64w+zSpAHTNj41aP78+TzzzDNkZGTQuXNn5s2bR3R0tNllNUgWi+Wsx//73/8ybty4mi1GKrjmmmu0jY/Jli9fzqxZs9izZw8tW7Zk+vTp3HXXXWaX1SDl5+fzyCOPsHTpUg4dOkTjxo257bbbePTRR3FxcTG7PGmgFCBFREREpFI0B1JEREREKkUBUkREREQqRQFSRERERCpFAVJEREREKkUBUkREREQqRQFSRERERCpFAVJEREREKkUBUkTkIlgsFj799FOzyxARqRUUIEWk1hs3bhwWi6XCY/DgwWaXJiLSIOle2CJSJwwePJj//ve/5Y65urqaVI2ISMOmHkgRqRNcXV0JCwsr9/D39weM4eUFCxZw3XXX4e7uTkREBB999FG567du3cq1116Lu7s7gYGBTJw4kWPHjpU754033qBDhw64urrSqFEjJk+eXO79rKwsRo4ciYeHB1dccQXLli27vB9aRKSWUoAUkXrhkUceYdSoUfzyyy+MHj2aW2+9lZ07dwJQUFDAoEGD8Pf3Z8OGDXz44YesXLmyXEBcsGABkyZNYuLEiWzdupVly5bRunXrcj/jn//8JzfffDNbtmxhyJAhjB49muzs7Br9nCIitYJNRKSWGzt2rM3R0dHm6elZ7vHEE0/YbDabDbDdfffd5a6Jjo623XPPPTabzWZbtGiRzd/f33bs2DH7+1988YXNwcHBlpGRYbPZbLbGjRvbHnrooXPWANgefvhh++tjx47ZANtXX31VbZ9TRKSu0BxIEakT+vXrx4IFC8odCwgIsD+PjY0t915sbCybN28GYOfOnXTq1AlPT0/7+7169cJqtbJ7924sFgsHDhygf//+562hY8eO9ueenp74+Phw6NChqn4kEZE6SwFSROoET0/PCkPK1cXd3f2iznN2di732mKxYLVaL0dJIiK1muZAiki9sG7dugqv27dvD0D79u355ZdfKCgosL//448/4uDgQNu2bfH29qZFixasWrWqRmsWEamr1AMpInVCUVERGRkZ5Y45OTkRFBQEwIcffki3bt24+uqreeedd1i/fj2vv/46AKNHj2b27NmMHTuWxx57jMOHDzNlyhT+8pe/EBoaCsBjjz3G3XffTUhICNdddx35+fn8+OOPTJkypWY/qIhIHaAAKSJ1Qnx8PI0aNSp3rG3btuzatQswVki/9957/O1vf6NRo0a8++67REZGAuDh4cHXX3/NvffeS/fu3fHw8GDUqFE8//zz9rbGjh3LiRMneOGFF/j73/9OUFAQN910U819QBGROsRis9lsZhchInIpLBYLS5cuZcSIEWaXIiLSIGgOpIiIiIhUigKkiIiIiFSK5kCKSJ2nmTgiIjVLPZAiIiIiUikKkCIiIiJSKQqQIiIiIlIpCpAiIiIiUikKkCIiIiJSKQqQIiIiIlIpCpAiIiIiUikKkCIiIiJSKQqQIiIiIlIp/w+vVzZWVUzk5QAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots()\n", + "ax.plot(embedder._history['umap_loss'])\n", + "ax.set_ylabel('loss')\n", + "ax.set_xlabel('Epoch')\n", + "ax2 = ax.twinx()\n", + "ax2.plot(embedder._history['global_correlation_loss'], color = 'r')\n", + "ax2.set_ylabel('global_correlation_loss')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Repeat with more global structure" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2020-08-16T22:12:46.790121Z", + "start_time": "2020-08-16T22:12:46.759185Z" + } + }, + "source": [ + "### create parametric umap model" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T16:18:37.334308Z", + "start_time": "2021-04-20T16:18:37.172273Z" + } + }, + "outputs": [], + "source": [ + "embedder = ParametricUMAP(\n", + " global_correlation_loss_weight = 1.0,\n", + " n_epochs=25,\n", + " verbose=True\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T16:23:41.316464Z", + "start_time": "2021-04-20T16:18:37.336327Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ParametricUMAP(global_correlation_loss_weight=1.0)\n", + "Fri May 17 10:19:07 2024 Construct fuzzy simplicial set\n", + "Fri May 17 10:19:07 2024 Finding Nearest Neighbors\n", + "Fri May 17 10:19:07 2024 Building RP forest with 17 trees\n", + "Fri May 17 10:19:07 2024 NN descent for 16 iterations\n", + "\t 1 / 16\n", + "\t 2 / 16\n", + "\t 3 / 16\n", + "\t 4 / 16\n", + "\tStopping threshold met -- exiting after 4 iterations\n", + "Fri May 17 10:19:10 2024 Finished Nearest Neighbor Search\n", + "Fri May 17 10:19:10 2024 Construct embedding\n", + "Epoch 1/10\n", + "\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 30ms/step - global_correlation_loss: -0.7452 - loss: -0.4435 - umap_loss: 0.3017\n", + "Epoch 2/10\n", + "\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m28s\u001b[0m 31ms/step - global_correlation_loss: -0.7781 - loss: -0.5148 - umap_loss: 0.2634\n", + "Epoch 3/10\n", + "\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m25s\u001b[0m 27ms/step - global_correlation_loss: -0.7798 - loss: -0.5198 - umap_loss: 0.2600\n", + "Epoch 4/10\n", + "\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m25s\u001b[0m 27ms/step - global_correlation_loss: -0.7790 - loss: -0.5209 - umap_loss: 0.2580\n", + "Epoch 5/10\n", + "\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m24s\u001b[0m 26ms/step - global_correlation_loss: -0.7780 - loss: -0.5215 - umap_loss: 0.2565\n", + "Epoch 6/10\n", + "\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m25s\u001b[0m 27ms/step - global_correlation_loss: -0.7790 - loss: -0.5238 - umap_loss: 0.2551\n", + "Epoch 7/10\n", + "\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m24s\u001b[0m 25ms/step - global_correlation_loss: -0.7804 - loss: -0.5257 - umap_loss: 0.2547\n", + "Epoch 8/10\n", + "\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m23s\u001b[0m 25ms/step - global_correlation_loss: -0.7788 - loss: -0.5248 - umap_loss: 0.2540\n", + "Epoch 9/10\n", + "\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m23s\u001b[0m 25ms/step - global_correlation_loss: -0.7790 - loss: -0.5255 - umap_loss: 0.2535\n", + "Epoch 10/10\n", + "\u001b[1m923/923\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m23s\u001b[0m 25ms/step - global_correlation_loss: -0.7793 - loss: -0.5263 - umap_loss: 0.2531\n", + "\u001b[1m1875/1875\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 1ms/step\n", + "Fri May 17 10:23:22 2024 Finished embedding\n" + ] + } + ], + "source": [ + "embedding = embedder.fit_transform(train_images)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### plot results" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T16:23:41.320944Z", + "start_time": "2021-04-20T16:23:41.318206Z" + } + }, + "outputs": [], + "source": [ + "embedding = embedder.embedding_" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T16:23:41.333978Z", + "start_time": "2021-04-20T16:23:41.322198Z" + } + }, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T16:23:42.030074Z", + "start_time": "2021-04-20T16:23:41.335861Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots( figsize=(8, 8))\n", + "sc = ax.scatter(\n", + " embedding[:, 0],\n", + " embedding[:, 1],\n", + " c=train_labels.astype(int)[:len(embedding)],\n", + " cmap=\"tab10\",\n", + " s=0.1,\n", + " alpha=0.5,\n", + " rasterized=True,\n", + ")\n", + "ax.axis('equal')\n", + "ax.set_title(\"Parametric UMAP embedding\", fontsize=20)\n", + "plt.colorbar(sc, ax=ax);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### measure at global structure as correlation of pairwise distances" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T16:23:42.034001Z", + "start_time": "2021-04-20T16:23:42.031484Z" + } + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import scipy.stats\n", + "import sklearn" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T16:23:42.102863Z", + "start_time": "2021-04-20T16:23:42.035302Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "r^2=0.7740781201878811, p=0.0\n" + ] + } + ], + "source": [ + "nex = 1000\n", + "sample1 = np.random.randint(len(train_images), size=nex)\n", + "sample2 = np.random.randint(len(train_images), size=nex)\n", + "x1 = train_images[sample1]\n", + "x2 = train_images[sample2]\n", + "z1 = embedding[sample1]\n", + "z2 = embedding[sample2]\n", + "x_dist = sklearn.metrics.pairwise_distances(x1, x2).flatten()\n", + "\n", + "z_dist = sklearn.metrics.pairwise_distances(z1, z2).flatten()\n", + "\n", + "corr, p = scipy.stats.pearsonr(x_dist, z_dist)\n", + "print(\"r^2={}, p={}\".format(corr, p))" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T16:23:42.166921Z", + "start_time": "2021-04-20T16:23:42.104323Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(array([ 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18,\n", + " 19, 20]),\n", + " 19)" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.unique(xbins), len(np.unique(xbins))" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T16:23:42.550229Z", + "start_time": "2021-04-20T16:23:42.168253Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Embedding distances')" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots()\n", + "\n", + "ax.hist(x_dist, color = 'k', alpha = 0.1, density=True)\n", + "ax.set_ylabel('Density of data distances')\n", + "ax.set_xlabel('Data distance')\n", + "\n", + "ax2 = ax.twinx()\n", + "bins = np.linspace(np.min(x_dist), np.max(x_dist), 20)\n", + "xbins = np.digitize(x_dist, bins = bins)\n", + "bins = np.unique(xbins)\n", + "zmean = np.array([np.mean(z_dist[xbins == i]) for i in bins])\n", + "zstd = np.array([np.std(z_dist[xbins == i]) for i in bins])\n", + "ax2.plot(bins, zmean)\n", + "ax2.fill_between(bins, zmean-zstd, zmean+zstd, alpha = 0.1)\n", + "ax2.set_ylabel('Embedding distances')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### plotting loss" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T16:23:42.554788Z", + "start_time": "2021-04-20T16:23:42.551644Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['global_correlation_loss', 'loss', 'umap_loss'])" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "embedder._history.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'n_neighbors': 15,\n", + " 'metric': 'euclidean',\n", + " 'output_metric': 'euclidean',\n", + " 'target_metric': 'categorical',\n", + " 'metric_kwds': None,\n", + " 'output_metric_kwds': None,\n", + " 'n_epochs': 25,\n", + " 'init': 'spectral',\n", + " 'n_components': 2,\n", + " 'repulsion_strength': 1.0,\n", + " 'learning_rate': 1.0,\n", + " 'spread': 1.0,\n", + " 'min_dist': 0.1,\n", + " 'low_memory': True,\n", + " 'set_op_mix_ratio': 1.0,\n", + " 'local_connectivity': 1.0,\n", + " 'negative_sample_rate': 5,\n", + " 'random_state': None,\n", + " 'angular_rp_forest': False,\n", + " 'transform_queue_size': 4.0,\n", + " 'target_n_neighbors': -1,\n", + " 'target_metric_kwds': None,\n", + " 'target_weight': 0.5,\n", + " 'transform_seed': 42,\n", + " 'transform_mode': 'embedding',\n", + " 'force_approximation_algorithm': False,\n", + " 'verbose': True,\n", + " 'tqdm_kwds': {'desc': 'Epochs completed',\n", + " 'bar_format': '{desc}: {percentage:3.0f}%| {bar} {n_fmt}/{total_fmt} [{elapsed}]'},\n", + " 'unique': False,\n", + " 'densmap': False,\n", + " 'dens_lambda': 2.0,\n", + " 'dens_frac': 0.3,\n", + " 'dens_var_shift': 0.1,\n", + " 'output_dens': False,\n", + " 'disconnection_distance': None,\n", + " 'precomputed_knn': (None, None, None),\n", + " 'n_jobs': -1,\n", + " 'a': None,\n", + " 'b': None,\n", + " 'dims': [784],\n", + " 'encoder': ,\n", + " 'decoder': None,\n", + " 'parametric_reconstruction': False,\n", + " 'parametric_reconstruction_loss_weight': 1.0,\n", + " 'parametric_reconstruction_loss_fcn': None,\n", + " 'autoencoder_loss': False,\n", + " 'batch_size': 1000,\n", + " 'loss_report_frequency': 10,\n", + " 'global_correlation_loss_weight': 1.0,\n", + " 'validation_data': None,\n", + " 'keras_fit_kwargs': {},\n", + " 'parametric_model': ,\n", + " 'n_training_epochs': 1,\n", + " 'optimizer': ,\n", + " '_raw_data': array([[0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.],\n", + " ...,\n", + " [0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.]], dtype=float32),\n", + " '_a': 1.5769434601962196,\n", + " '_b': 0.8950608779914887,\n", + " '_initial_alpha': 1.0,\n", + " 'knn_indices': None,\n", + " 'knn_dists': None,\n", + " 'knn_search_index': None,\n", + " 'n_epochs_list': None,\n", + " '_metric_kwds': {},\n", + " '_output_metric_kwds': {},\n", + " '_target_metric_kwds': {},\n", + " '_sparse_data': False,\n", + " '_input_distance_func': CPUDispatcher(),\n", + " '_inverse_distance_func': CPUDispatcher(),\n", + " '_output_distance_func': CPUDispatcher(),\n", + " '_densmap_kwds': {'lambda': 0.0,\n", + " 'frac': 0.0,\n", + " 'var_shift': 0.1,\n", + " 'n_neighbors': 15},\n", + " '_disconnection_distance': inf,\n", + " '_original_n_threads': 20,\n", + " '_n_neighbors': 15,\n", + " '_small_data': False,\n", + " '_knn_indices': array([[ 0, 32248, 8728, ..., 54159, 57528, 1482],\n", + " [ 1, 639, 51121, ..., 4159, 53789, 59099],\n", + " [ 2, 54197, 46128, ..., 45353, 10960, 10832],\n", + " ...,\n", + " [59997, 49032, 3188, ..., 21244, 21039, 11472],\n", + " [59998, 57075, 29971, ..., 53289, 30045, 41261],\n", + " [59999, 24241, 52171, ..., 29965, 48927, 14611]], dtype=int32),\n", + " '_knn_dists': array([[0. , 6.1234217, 6.241574 , ..., 6.4917493, 6.5303903,\n", + " 6.5477657],\n", + " [0. , 4.0025387, 4.3158016, ..., 4.7541027, 4.798105 ,\n", + " 4.8141165],\n", + " [0. , 5.402473 , 6.0436363, ..., 6.5763326, 6.6185007,\n", + " 6.6206036],\n", + " ...,\n", + " [0. , 4.127294 , 4.3914847, ..., 5.495026 , 5.527782 ,\n", + " 5.5341935],\n", + " [0. , 4.33006 , 4.4754477, ..., 5.5357146, 5.612862 ,\n", + " 5.618717 ],\n", + " [0. , 4.089288 , 4.624868 , ..., 5.9925537, 6.015496 ,\n", + " 6.0240507]], dtype=float32),\n", + " '_knn_search_index': ,\n", + " 'graph_': <60000x60000 sparse matrix of type ''\n", + " \twith 1239374 stored elements in Compressed Sparse Row format>,\n", + " '_sigmas': array([0.13994265, 0.36262703, 0.64297104, ..., 0.7197914 , 0.5641403 ,\n", + " 1.0219193 ], dtype=float32),\n", + " '_rhos': array([6.1234217, 4.0025387, 5.402473 , ..., 4.127294 , 4.33006 ,\n", + " 4.089288 ], dtype=float32),\n", + " 'graph_dists_': None,\n", + " '_supervised': False,\n", + " 'edge_weight': array([0.04820603, 0.42986256, 0.39389864, ..., 1. , 0.46969238,\n", + " 0.34679434], dtype=float32),\n", + " 'head': tensor([[ 0, 0, 0, ..., 59999, 59999, 59999]], device='cuda:0'),\n", + " 'tail': tensor([[ 1482, 8728, 18932, ..., 52171, 57087, 58186]], device='cuda:0'),\n", + " '_history': {'global_correlation_loss': [-0.7685361504554749,\n", + " -0.7790725231170654,\n", + " -0.7794556617736816,\n", + " -0.7794679403305054,\n", + " -0.7787914276123047,\n", + " -0.7791730165481567,\n", + " -0.7795536518096924,\n", + " -0.7787388563156128,\n", + " -0.7789099216461182,\n", + " -0.7794157862663269],\n", + " 'loss': [-0.49106675386428833,\n", + " -0.5165365934371948,\n", + " -0.5201104283332825,\n", + " -0.5218273401260376,\n", + " -0.5225781798362732,\n", + " -0.5242727398872375,\n", + " -0.525164783000946,\n", + " -0.5247576832771301,\n", + " -0.525543212890625,\n", + " -0.5265132784843445],\n", + " 'umap_loss': [0.2774689495563507,\n", + " 0.2625359892845154,\n", + " 0.259345680475235,\n", + " 0.257641077041626,\n", + " 0.2562134563922882,\n", + " 0.25490063428878784,\n", + " 0.2543890178203583,\n", + " 0.2539810836315155,\n", + " 0.25336694717407227,\n", + " 0.2529023587703705]},\n", + " 'embedding_': array([[ 0.24965213, 2.8040001 ],\n", + " [ 5.3309083 , 2.2087636 ],\n", + " [ 0.01415521, -4.650513 ],\n", + " ...,\n", + " [-0.79066354, 1.9978576 ],\n", + " [ 2.388037 , -1.3136814 ],\n", + " [-2.987888 , 0.86811405]], dtype=float32),\n", + " '_input_hash': '5b1765204143ded2a473000e8c858b27'}" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "embedder.__dict__" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "ExecuteTime": { + "end_time": "2021-04-20T16:23:42.728721Z", + "start_time": "2021-04-20T16:23:42.555982Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'global_correlation_loss')" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots()\n", + "ax.plot(embedder._history['umap_loss'])\n", + "ax.set_ylabel('umap_loss')\n", + "ax.set_xlabel('Epoch')\n", + "ax2 = ax.twinx()\n", + "ax2.plot(embedder._history['global_correlation_loss'], color = 'r')\n", + "ax2.set_ylabel('global_correlation_loss')\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "parametricumap", + "language": "python", + "name": "parametricumap" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/Parametric_UMAP/05.0-parametric-umap-with-callback.ipynb b/notebooks/Parametric_UMAP/05.0-parametric-umap-with-callback.ipynb deleted file mode 100644 index d81c7587..00000000 --- a/notebooks/Parametric_UMAP/05.0-parametric-umap-with-callback.ipynb +++ /dev/null @@ -1,352 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Adding a custom callback for keras during embedding\n", - "This notebook shows you how to use custom callbacks during training. In this example, we use early stopping to train the network until loss reaches some desired plateau. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### load data" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-17T06:03:48.706532Z", - "start_time": "2020-08-17T06:03:48.366292Z" - } - }, - "outputs": [], - "source": [ - "from tensorflow.keras.datasets import mnist\n", - "(train_images, Y_train), (test_images, Y_test) = mnist.load_data()\n", - "train_images = train_images.reshape((train_images.shape[0], -1))/255.\n", - "test_images = test_images.reshape((test_images.shape[0], -1))/255." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-16T22:12:46.790121Z", - "start_time": "2020-08-16T22:12:46.759185Z" - } - }, - "source": [ - "### create parametric umap model" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-17T06:03:53.254841Z", - "start_time": "2020-08-17T06:03:48.708919Z" - } - }, - "outputs": [], - "source": [ - "from umap.parametric_umap import ParametricUMAP" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-17T06:03:53.292492Z", - "start_time": "2020-08-17T06:03:53.256551Z" - } - }, - "outputs": [], - "source": [ - "keras_fit_kwargs = {\"callbacks\": [\n", - " tf.keras.callbacks.EarlyStopping(\n", - " monitor='loss',\n", - " min_delta=10**-2,\n", - " patience=10,\n", - " verbose=1,\n", - " )\n", - "]}" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-17T06:03:53.323141Z", - "start_time": "2020-08-17T06:03:53.293677Z" - } - }, - "outputs": [], - "source": [ - "embedder = ParametricUMAP(\n", - " verbose=True,\n", - " keras_fit_kwargs = keras_fit_kwargs,\n", - " n_training_epochs=5\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-17T06:08:43.351200Z", - "start_time": "2020-08-17T06:03:53.324273Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ParametricUMAP(keras_fit_kwargs={'callbacks': []},\n", - " n_training_epochs=20,\n", - " optimizer=)\n", - "Construct fuzzy simplicial set\n", - "Sun Aug 16 23:03:53 2020 Finding Nearest Neighbors\n", - "Sun Aug 16 23:03:53 2020 Building RP forest with 17 trees\n", - "Sun Aug 16 23:03:55 2020 parallel NN descent for 16 iterations\n", - "\t 0 / 16\n", - "\t 1 / 16\n", - "\t 2 / 16\n", - "\t 3 / 16\n", - "\t 4 / 16\n", - "Sun Aug 16 23:04:05 2020 Finished Nearest Neighbor Search\n", - "Sun Aug 16 23:04:08 2020 Construct embedding\n", - "Epoch 1/200\n", - "724/724 [==============================] - 13s 19ms/step - loss: 0.2263\n", - "Epoch 2/200\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.1717\n", - "Epoch 3/200\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.1561\n", - "Epoch 4/200\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.1463\n", - "Epoch 5/200\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.1397\n", - "Epoch 6/200\n", - "724/724 [==============================] - 13s 18ms/step - loss: 0.1374\n", - "Epoch 7/200\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.1339\n", - "Epoch 8/200\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.1329\n", - "Epoch 9/200\n", - "724/724 [==============================] - 13s 19ms/step - loss: 0.1285\n", - "Epoch 10/200\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.1282\n", - "Epoch 11/200\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.1263\n", - "Epoch 12/200\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.1247\n", - "Epoch 13/200\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.1255\n", - "Epoch 14/200\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.1241\n", - "Epoch 15/200\n", - "724/724 [==============================] - 14s 20ms/step - loss: 0.1226\n", - "Epoch 16/200\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.1224\n", - "Epoch 17/200\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.1220\n", - "Epoch 18/200\n", - "724/724 [==============================] - 14s 19ms/step - loss: 0.1208\n", - "Epoch 19/200\n", - "724/724 [==============================] - 14s 20ms/step - loss: 0.1206\n", - "Epoch 00019: early stopping\n", - "1875/1875 [==============================] - 1s 705us/step\n", - "Sun Aug 16 23:08:43 2020 Finished embedding\n" - ] - } - ], - "source": [ - "embedding = embedder.fit_transform(train_images)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### plot results" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-17T06:08:43.992558Z", - "start_time": "2020-08-17T06:08:43.352974Z" - } - }, - "outputs": [], - "source": [ - "embedding = embedder.embedding_" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-17T06:08:44.165383Z", - "start_time": "2020-08-17T06:08:43.994231Z" - } - }, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-17T06:08:45.670161Z", - "start_time": "2020-08-17T06:08:44.166884Z" - } - }, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots( figsize=(8, 8))\n", - "sc = ax.scatter(\n", - " embedding[:, 0],\n", - " embedding[:, 1],\n", - " c=Y_train.astype(int),\n", - " cmap=\"tab10\",\n", - " s=0.1,\n", - " alpha=0.5,\n", - " rasterized=True,\n", - ")\n", - "ax.axis('equal')\n", - "ax.set_title(\"UMAP in Tensorflow embedding\", fontsize=20)\n", - "plt.colorbar(sc, ax=ax);" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### plotting loss" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-17T06:08:45.713308Z", - "start_time": "2020-08-17T06:08:45.671857Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['loss'])" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "embedder._history.keys()" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-17T06:08:46.317803Z", - "start_time": "2020-08-17T06:08:45.714605Z" - } - }, - "outputs": [ - { - "ename": "KeyError", - "evalue": "'reconstruction_loss'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0maxs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0membedder\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_history\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'reconstruction_loss'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'train'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 9\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0membedder\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_history\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'val_reconstruction_loss'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'valid'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlegend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mKeyError\u001b[0m: 'reconstruction_loss'" - ] - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots(figsize=(10,5))\n", - "ax.plot(embedder._history['loss'])\n", - "ax.set_ylabel('Cross Entropy')\n", - "ax.set_xlabel('Epoch')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "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": "3.9.1" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/notebooks/Parametric_UMAP/06.0-nonparametric-umap.ipynb b/notebooks/Parametric_UMAP/06.0-nonparametric-umap.ipynb deleted file mode 100644 index e5a309ab..00000000 --- a/notebooks/Parametric_UMAP/06.0-nonparametric-umap.ipynb +++ /dev/null @@ -1,315 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Non-parametric embedding with UMAP. \n", - "This notebook shows an example of a non-parametric embedding using the same training loops as are used with a parametric embedding. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### load data" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-16T16:06:06.766257Z", - "start_time": "2021-04-16T16:06:01.399365Z" - } - }, - "outputs": [], - "source": [ - "from tensorflow.keras.datasets import mnist\n", - "(train_images, Y_train), (test_images, Y_test) = mnist.load_data()\n", - "train_images = train_images.reshape((train_images.shape[0], -1))/255.\n", - "test_images = test_images.reshape((test_images.shape[0], -1))/255." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-16T22:12:46.790121Z", - "start_time": "2020-08-16T22:12:46.759185Z" - } - }, - "source": [ - "### create parametric umap model" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-16T16:06:10.010766Z", - "start_time": "2021-04-16T16:06:06.767852Z" - } - }, - "outputs": [], - "source": [ - "from umap.parametric_umap import ParametricUMAP" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-16T16:06:10.034498Z", - "start_time": "2021-04-16T16:06:10.012388Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/mnt/cube/tsainbur/Projects/github_repos/umap/umap/parametric_umap.py:129: UserWarning: tensorflow_probability not installed. Setting global_correlation_loss_weight to zero.\n", - " warn(\n" - ] - } - ], - "source": [ - "embedder = ParametricUMAP(parametric_embedding=False, verbose=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-16T16:11:04.373130Z", - "start_time": "2021-04-16T16:06:10.036536Z" - }, - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ParametricUMAP(optimizer=,\n", - " parametric_embedding=False)\n", - "Construct fuzzy simplicial set\n", - "Fri Apr 16 09:06:11 2021 Finding Nearest Neighbors\n", - "Fri Apr 16 09:06:11 2021 Building RP forest with 17 trees\n", - "Fri Apr 16 09:06:13 2021 parallel NN descent for 16 iterations\n", - "\t 0 / 16\n", - "\t 1 / 16\n", - "\t 2 / 16\n", - "\t 3 / 16\n", - "\t 4 / 16\n", - "Fri Apr 16 09:06:22 2021 Finished Nearest Neighbor Search\n", - "Fri Apr 16 09:06:24 2021 Construct embedding\n", - "Epoch 1/10\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/AD/tsainbur/anaconda3/envs/umap_dev_new/lib/python3.8/site-packages/tensorflow/python/framework/indexed_slices.py:433: UserWarning: Converting sparse IndexedSlices to a dense Tensor of unknown shape. This may consume a large amount of memory.\n", - " warnings.warn(\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "100/100 [==============================] - 27s 266ms/step - loss: 0.0487\n", - "Epoch 2/10\n", - "100/100 [==============================] - 23s 232ms/step - loss: 0.0356\n", - "Epoch 3/10\n", - "100/100 [==============================] - 22s 221ms/step - loss: 0.0331\n", - "Epoch 4/10\n", - "100/100 [==============================] - 22s 222ms/step - loss: 0.0317\n", - "Epoch 5/10\n", - "100/100 [==============================] - 21s 215ms/step - loss: 0.0309\n", - "Epoch 6/10\n", - "100/100 [==============================] - 21s 214ms/step - loss: 0.0303\n", - "Epoch 7/10\n", - "100/100 [==============================] - 22s 217ms/step - loss: 0.0300\n", - "Epoch 8/10\n", - "100/100 [==============================] - 21s 212ms/step - loss: 0.0297\n", - "Epoch 9/10\n", - "100/100 [==============================] - 22s 216ms/step - loss: 0.0294\n", - "Epoch 10/10\n", - "100/100 [==============================] - 22s 218ms/step - loss: 0.0293\n", - "Fri Apr 16 09:11:04 2021 Finished embedding\n" - ] - } - ], - "source": [ - "embedding = embedder.fit_transform(train_images)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### plot results" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-16T16:11:04.978623Z", - "start_time": "2021-04-16T16:11:04.375003Z" - } - }, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-16T16:11:05.676713Z", - "start_time": "2021-04-16T16:11:04.980557Z" - } - }, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots( figsize=(8, 8))\n", - "sc = ax.scatter(\n", - " embedding[:, 0],\n", - " embedding[:, 1],\n", - " c=Y_train.astype(int),\n", - " cmap=\"tab10\",\n", - " s=0.1,\n", - " alpha=0.5,\n", - " rasterized=True,\n", - ")\n", - "ax.axis('equal')\n", - "ax.set_title(\"UMAP in Tensorflow embedding\", fontsize=20)\n", - "plt.colorbar(sc, ax=ax);" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### plotting loss" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-16T16:11:05.681502Z", - "start_time": "2021-04-16T16:11:05.678030Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['loss'])" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "embedder._history.keys()" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-16T16:11:05.788718Z", - "start_time": "2021-04-16T16:11:05.682497Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 0, 'Epoch')" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZUAAAEGCAYAAACtqQjWAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAAAsdklEQVR4nO3deXwd9X3v/9dbqyXvPpaN8S5hkrAEE4QtJYGmZGNJcZPcBEjIQtMfJTcEenvvTSA3/aXpL7fNcpNSWgIhhBRCEkKz/OICKSGkIUuRscxus9myjYWFLcu28Kr1c/84I/tYluxjc46Olvfz8ZjHOWfmO3M+I4zemvnOzFcRgZmZWS4UFboAMzMbPRwqZmaWMw4VMzPLGYeKmZnljEPFzMxypqTQBRTS9OnTY8GCBYUuw8xsRFm1atW2iKgaaNmYDpUFCxbQ2NhY6DLMzEYUSRsHW+bTX2ZmljMOFTMzyxmHipmZ5YxDxczMcsahYmZmOeNQMTOznHGomJlZzjhUjsPLO/fx1X9/js079xW6FDOzYcWhchz2dHTzzd+s4/cvbit0KWZmw4pD5TgsmjGB6RPKeKSprdClmJkNKw6V4yCJpdUpHlnXhkfONDM7yKFynOqrU7zy6n42tO0tdClmZsOGQ+U41dekAHhknU+BmZn1cagcp+rp45kxsdz9KmZmGRwqx0kS9TUpGprcr2Jm1seh8hrUV6do3dXButY9hS7FzGxYcKi8Bgf6VXwKzMwMyHOoSDpf0vOS1kq6boDlknRjsvwpSW/qt7xY0uOS7s2Y9yNJTyTTBklPJPMXSNqXseyWfO4bwLxplcyaPI4Gd9abmQF5HE5YUjFwE/BOoBlYKWl5RKzJaHYBsCiZlgI3J699rgWeBSb1zYiISzK+4+tAe0b7dRGxOLd7MjhJ1FenePiFViICSUP11WZmw1I+j1SWAGsjoikiOoG7gWX92iwD7oy0BmCKpFkAkuYAFwG3DbRxpX+DfxD4Yb52IBt1NSna9nTywpbdhSzDzGxYyGeozAY2ZXxuTuZl2+YG4DNA7yDbPwfYEhEvZsxbmJwue1jSOQOtJOlKSY2SGltbW7PbkyOor+67X8XPATMzy2eoDHQuqP+1twO2kfQeYGtErDrC9i/j0KOUFmBeRJwJ/BXwA0mT+q8UEbdGRG1E1FZVVR15D7Iwd1olc6ZWuLPezIz8hkozMDfj8xxgc5Zt3gJcLGkD6dNm50m6q6+RpBLgfcCP+uZFREdEtCXvVwHrgJNztTNHUl+dYsX67fT2+n4VMxvb8hkqK4FFkhZKKgMuBZb3a7Mc+GhyFVgd0B4RLRFxfUTMiYgFyXq/jojLM9Z7B/BcRDT3zZBUlVwcgKRq0p3/TXnbuwz1NSl27u3i2VdeHYqvMzMbtvJ29VdEdEu6GngAKAZuj4jVkq5Klt8C3A9cCKwF9gJXZLn5Szm8g/5c4G8ldQM9wFURsf2178nRZT4H7NQTJw/FV5qZDUsay48Yqa2tjcbGxpxs621f+w9OmjGB2z52dk62Z2Y2XElaFRG1Ay3zHfU5Ul+T7lfpcb+KmY1hDpUcqatOsWt/N6s3tx+9sZnZKOVQyZGD96v40mIzG7scKjkyY9I4aqrG+34VMxvTHCo5VF+TYuX67XT1DPYQADOz0c2hkkP11dPZ09nD0y+7X8XMxiaHSg7VVU8DoMGnwMxsjHKo5FBqQjmvmznRnfVmNmY5VHKsrnoajRt20NntfhUzG3scKjlWX5NiX1cPTzXvLHQpZmZDzqGSY0sXppB8v4qZjU0OlRybOr6M158wyfermNmY5FDJg/rqFKs27qCju6fQpZiZDSmHSh7U16To6O7l8Zd2FroUM7Mh5VDJgyULp1HkfhUzG4McKnkwuaKUU0+c7H4VMxtzHCp5Ul+T4omXdrK/y/0qZjZ25DVUJJ0v6XlJayVdN8BySboxWf6UpDf1W14s6XFJ92bM+xtJL0t6IpkuzFh2fbKt5yW9O5/7djT11Sk6e3pZtXFHIcswMxtSeQsVScXATcAFwCnAZZJO6dfsAmBRMl0J3Nxv+bXAswNs/h8iYnEy3Z983ymkx64/FTgf+GZSQ0GcvXAaxUVyv4qZjSn5PFJZAqyNiKaI6ATuBpb1a7MMuDPSGoApkmYBSJoDXATcluX3LQPujoiOiFgPrE1qKIgJ5SWcPtv9KmY2tuQzVGYDmzI+Nyfzsm1zA/AZYKCHaF2dnC67XdLUY/g+JF0pqVFSY2tra7b7clzqa1I8uWknezq68/o9ZmbDRT5DRQPMi2zaSHoPsDUiVg2w/GagBlgMtABfP4bvIyJujYjaiKitqqoarPacqK9O0d0bNLpfxczGiHyGSjMwN+PzHGBzlm3eAlwsaQPp02bnSboLICK2RERPRPQC3+bgKa5svm9I1S6YSmmx+1XMbOzIZ6isBBZJWiipjHQn+vJ+bZYDH02uAqsD2iOiJSKuj4g5EbEgWe/XEXE5QF+fS+K9wDMZ27pUUrmkhaQ7/x/N295lobKshDPmTHG/ipmNGSX52nBEdEu6GngAKAZuj4jVkq5Klt8C3A9cSLpTfS9wRRab/qqkxaRPbW0A/iLZ3mpJ9wBrgG7gUxFR8JtE6mtSfPM369i1v4uJ40oLXY6ZWV4p4rBuhzGjtrY2Ghsb8/odf1i7jQ/ftoLvfvxs/vj1M/L6XWZmQ0HSqoioHWiZ76jPs7PmT6WsuMinwMxsTHCo5Nm40mIWz5viznozGxMcKkOgvjrF6s3ttO/rKnQpZmZ55VAZAvU1KXoDHl2/vdClmJnllUNlCJw5bwrlJUU+BWZmo55DZQiUlxRz1vyp7qw3s1HPoTJE6qtTPNvyKjv2dBa6FDOzvHGoDJH6mhQAK9b7aMXMRi+HyhB545wpVJQWu1/FzEY1h8oQKSsponaB+1XMbHRzqAyh+poUL2zZzbbdHYUuxcwsLxwqQ6i+Ot2v0uCjFTMbpRwqQ+j02ZOZUF7ifhUzG7UcKkOopLiIs92vYmajmENliNXXpGhq3cOWV/cXuhQzs5xzqAyxOvermNkoltdQkXS+pOclrZV03QDLJenGZPlTkt7Ub3mxpMcl3Zsx72uSnkva/0zSlGT+Akn7JD2RTLfkc9+O16knTmbiuBKHipmNSnkLFUnFwE3ABcApwGWSTunX7ALSY8kvAq4Ebu63/Frg2X7zHgROi4g3Ai8A12csWxcRi5PpqtzsSW4VF4mlC6e5s97MRqV8HqksAdZGRFNEdAJ3A8v6tVkG3BlpDcAUSbMAJM0BLgJuy1whIn4ZEd3JxwZgTh73IS/qqlNsaNtLS/u+QpdiZpZT+QyV2cCmjM/Nybxs29wAfAboPcJ3/Bnwi4zPC5PTZQ9LOmegFSRdKalRUmNra+vR9yIP+p4D5qMVMxtt8hkqGmBeZNNG0nuArRGxatCNS/8L6Aa+n8xqAeZFxJnAXwE/kDTpsI1H3BoRtRFRW1VVlc1+5NwbTpjElMpSh4qZjTr5DJVmYG7G5znA5izbvAW4WNIG0qfNzpN0V18jSR8D3gN8OCICICI6IqIteb8KWAecnMsdypWivn4Vd9ab2Shz1FCRdLWkqcex7ZXAIkkLJZUBlwLL+7VZDnw0uQqsDmiPiJaIuD4i5kTEgmS9X0fE5Uk95wOfBS6OiL0ZdVYlFwcgqZp053/TcdQ9JOqrUzTv2Mem7XuP3tjMbIQoyaLNCcBKSY8BtwMP9B0dHElEdEu6GngAKAZuj4jVkq5Klt8C3A9cCKwF9gJXZFHPPwPlwIOSABqSK73OBf5WUjfQA1wVEcN2UPj6mukAPNLUxtxplQWuxswsN5RFPqD0b+93kf6lXwvcA3wnItblt7z8qq2tjcbGxoJ8d0RQ+6Vf8UcnV/GNSxYXpAYzs+MhaVVE1A60LKs+leTI5JVk6gamAj+W9NWcVTnGSKKuOsUjTW1kE+xmZiNBNn0q10haBXwV+ANwekR8EjgLeH+e6xvV6mpStLTvZ2Ob+1XMbHTIpk9lOvC+iNiYOTMiepNLf+049Y2v8khTGwumjy9wNWZmr91Rj1Qi4v8FUskRy6czn88VEf0foWLHoKZqPFUTy32/ipmNGtmc/vpr4A4gRfqo5buSPp/vwsYCSdS7X8XMRpFsOuo/BJwdEV+IiC8AdcCH81vW2FFfk6J1VwfrWvcUuhQzs9csm1DZAIzL+FxO+m51y4HMfhUzs5Eum1DpAFZL+hdJ3wWeAXYn46DcmN/yRr/5qUpOmDSOBvermNkokM3VXz9Lpj6/yU8pY5Mk6mtS/PaFViKC5CkBZmYj0lFDJSLuSJ7d1fdwxucjoiu/ZY0t9dUpfvb4y7y4dTcnz5xY6HLMzI5bNld/vQ14kfQojt8EXpB0bn7LGls8voqZjRbZ9Kl8HXhXRPxRRJwLvBv4h/yWNbbMnVbJ7CkVDhUzG/GyCZXSiHi+70NEvACU5q+ksam+JkXD+jZ6e32/ipmNXNmEyipJ35H0tmT6NjDoiIx2fOqrU+zc28Vzr+wqdClmZsctm1C5ClgNXANcC6xJ5lkOHehX8f0qZjaCHfHqL0lFwKqIOA34xtCUNDadOKWC+alKHlnXxifeurDQ5ZiZHZcjHqlERC/wpKR5Q1TPmFZfnWLF+jZ63K9iZiNUNqe/ZpG+o/4hScv7pmw2Lul8Sc9LWivpugGWK7kzf62kpzKfgJwsL5b0uKR7M+ZNk/SgpBeT16kZy65PtvW8pHdnU+NwUl+TYtf+btZsfrXQpZiZHZds7qj/4vFsWFIx6Xtb3gk0kx7nfnlErMlodgGwKJmWAjcnr32uBZ4FJmXMuw54KCK+nATVdcBnJZ0CXAqcCpwI/ErSyRHRczz1F8LB54Bt4/Q5kwtcjZnZscvmSOXCiHg4cwIuzGK9JcDaiGiKiE7gbmBZvzbLgDsjrQGYImkWgKQ5wEXAbQOsc0fy/g7gTzPm3x0RHRGxHlib1DBizJg0juqq8b5fxcxGrGxC5Z0DzLsgi/VmA5syPjcn87JtcwPwGaC33zozI6IFIHmdcQzfh6QrJTVKamxtbc1iN4ZWfXWKlRt20N3Tf7fNzIa/QUNF0iclPQ28Lunv6JvWA09nse2BnozYvwd6wDbJMMVbI+JY7ofJ5vuIiFsjojYiaquqqo5h80OjvibF7o5unn65vdClmJkdsyP1qfwA+AXw96T7LfrsiojtWWy7GZib8XkOsDnLNv8FuFjShaTHcpkk6a6IuBzYImlWRLQkp8q2HsP3DXt1GeOrnDlv6lFam5kNL4MeqUREe0RsiIjLSP/C7iL9l/+ELC8xXgkskrQwecrxpUD/q8aWAx9NrgKrA9ojoiUiro+IORGxIFnv10mg9K3zseT9x4CfZ8y/VFK5pIWkO/8fzaLOYWX6hHJOnjnB/SpmNiId9eovSVcDfwNs4WD/RgBvPNJ6EdGdrPsAUAzcHhGrJV2VLL8FuJ90p/9aYC9wRRY1fxm4R9IngJeADyTbWy3pHtJ3/HcDnxpJV35lqqtO8a+NzXR291JWkk23l5nZ8KCII99oJ2ktsDQiRt2fzrW1tdHY2FjoMg7zi6db+OT3H+PHV9VTu2BaocsxMzuEpFURUTvQsmz+DN4EuNd4CC1N+lUa/BwwMxthsrn5sQn4jaT7SI9XD0BE+FlgeTJtfBmvP2EijzS1cfV5iwpdjplZ1rI5UnkJeBAoAyZmTJZH9TUpGjfsoKN7RHYLmdkYlc0Y9Yc9pkVSNkc49hrUV6f47h828MRLOw+cDjMzG+6OdPPj7zPef6/f4hF3qe5Is3RhCsnjq5jZyHKk01/jM96f1m/ZQHevWw5Nrizl1BMn+X4VMxtRjhQqMcj7gT5bHtRXp3j8pZ3s73K/ipmNDEcKlSmS3ivp/cn79yXT+wE/l30I1Nek6Ozp5bGNOwpdiplZVo7U4f4wcHHG+z/JWPbbvFVkB5y9YBrFReKRpjbefNL0QpdjZnZUg4ZKRGTzyBTLo4njSjlt9mT3q5jZiOEHSw1z9dUpnmzeyd7O7kKXYmZ2VA6VYa6+JkVXT9C4wf0qZjb8OVSGudr5UylJ+lXMzIa7o4aKpA9Impi8/7ykn0p6U/5LM4Dx5SWcMXeK+1XMbETI5kjlryNil6S3Au8G7gBuzm9Zlqm+OsXTL7ezu8P9KmY2vGUTKn133l0E3BwRPyf9cEkbInXVKXp6g5XrsxnF2cyscLIJlZclfQv4IHC/pPIs10PS+ZKel7RW0nUDLJekG5PlT/WdVpM0TtKjkp6UtFrSFzPW+ZGkJ5Jpg6QnkvkLJO3LWHZLNjWOBGfNn0ppsftVzGz4y+Zpwx8Ezgf+T0TslDQL+J9HW0lSMXAT8E7SY9yvlLQ8ItZkNLuA9Fjyi4ClpE+rLSU9bst5EbFbUinwe0m/iIiGiLgk4zu+zqEDiK2LiMVZ7NOIUlFWzJlzp7pfxcyGvWyOOGYB90XEi5LeRnpM+GyeUrwEWBsRTRHRCdwNLOvXZhlwZ6Q1kH4czKzk8+6kTWkyHfK8MUkiHXg/zKKWEa+uJsXqze207+sqdClmZoPKJlR+AvRIOgn4DrAQ+EEW680mPRRxn+ZkXlZtJBUnp7a2Ag9GxIp+654DbImIFzPmLZT0uKSHJZ0zUFGSrpTUKKmxtbU1i90YHuqrU/QG7lcxs2Etm1DpjYhu4H3ADRHx30gfvRzNQI/H7/9040HbRERPciprDrBEUv/H71/GoUcpLcC8iDgT+CvgB5ImHbbxiFsjojYiaquqqrLYjeHhzHlTKCspcr+KmQ1r2YRKl6TLgI8C9ybzSrNYrxmYm/F5DrD5WNtExE7gN6T7dYADI0++D/hRRruOiGhL3q8C1gEnZ1HniDCutJiz5rlfxcyGt2xC5QqgHvjfEbFe0kLgrizWWwkskrRQUhlwKbC8X5vlwEeTq8DqgPaIaJFUJWkKgKQK4B3AcxnrvQN4LiKa+2Yk6xQn76tJd/43ZVHniFFfk+LZV15l597OQpdiZjago4ZKcrXW/wCeTk5BNUfEl7NYrxu4GngAeBa4JyJWS7pK0lVJs/tJ/+JfC3wb+K/J/FnAf0h6inQ4PRgR92Zs/lIO76A/F3hK0pPAj4GrImJUdUDU16SIgIamUbVbZjaKHPWS4uSKrzuADaT7QOZK+lhEHHVMlYi4n3RwZM67JeN9AJ8aYL2ngDOPsN2PDzDvJ6QvKhi1zpgzhYrSYhqa2jj/tBMKXY6Z2WGyuU/l68C7IuJ5AEknkz5KOCufhdnhykqKqF3gfhUzG76y6VMp7QsUgIh4gew66i0P6qpTPL9lF227OwpdipnZYbIJlVWSviPpbcn0bWBVvguzgdXXpAD3q5jZ8JRNqFwFrAauAa4F1iTzrABOnz2Z8WXFPNK0rdClmJkd5oh9KpKKgFURcRrwjaEpyY6ktLiIsxdOc7+KmQ1LRzxSiYhe4ElJ84aoHstCfXWKda172Prq/kKXYmZ2iGyu/poFrJb0KLCnb2ZEXJy3quyI6qrT/SqPNLWxbHH/x6mZmRVONqHyxaM3saF06omTmFheQoNDxcyGmUFDJXkq8cyIeLjf/HOBl/NdmA2upLiIJe5XMbNh6Eh9KjcAuwaYvzdZZgVUX5NiQ9teWtr3FboUM7MDjhQqC5LHpRwiIhqBBXmryLJyoF/FRytmNowcKVTGHWFZRa4LsWNzyqxJTK4opcHjq5jZMHKkUFkp6f/pP1PSJ/Ad9QVXVCSWLpzmQbvMbFg50tVffwn8TNKHORgitUAZ8N4812VZOGfRdH65Zgtf/sVz/I93nUxJcTYPSDAzy59BQyUitgBvlvTHQN9QvvdFxK+HpDI7qg+ePZc1Lbu45eF1PPbSDv75sjOZMelIZy3NzPJL6SFNxqba2tpobGwsdBmv2c8eb+ZzP32G8eXF3Hjpmbz5pOmFLsnMRjFJqyKidqBlPl8yCrz3zDn8/Oq3MLmilMu/s4J/euhFenvH7h8LZlY4eQ0VSedLel7SWknXDbBckm5Mlj8l6U3J/HGSHpX0pKTVkr6Ysc7fSHpZ0hPJdGHGsuuTbT0v6d353Lfh5uSZE1l+9Vv5kzNO5OsPvsAV/7KS7Xs8lr2ZDa28hYqkYuAm4ALgFOAySaf0a3YBsCiZrgRuTuZ3AOdFxBnAYuB8SXUZ6/1DRCxOpvuT7zuF9Nj1pwLnA99MahgzxpeXcMMli/nSn57GI+vaeM+Nv+Oxl3YUuiwzG0PyeaSyBFgbEU0R0QncDSzr12YZcGekNQBTJM1KPu9O2pQm09HO5ywD7o6IjohYD6xNahhTJHF53Xx+8sk3U1wsPnjLI3zn9+sZy31nZjZ08hkqs4FNGZ+bk3lZtZFULOkJYCvwYESsyGh3dXK67HZJU4/h+5B0paRGSY2tra3HsVsjw+lzJnPv1efwx6+fwf937xr+6/cf49X9XYUuy8xGuXyGigaY1//P5UHbRERPRCwG5gBLJPVd1nwzUEP6tFgL8PVj+D4i4taIqI2I2qqqqqPtw4g2ubKUWz9yFp+78PX8cs0WLv6n37N6c3uhyzKzUSyfodIMzM34PAfYfKxtImIn8BvS/SRExJYkcHqBb3PwFFc23zfmSOLKc2u4+8o69nX18N5v/id3P/qST4eZWV7kM1RWAoskLZRURroTfXm/NsuBjyZXgdUB7RHRIqlK0hQASRXAO4Dnks+zMtZ/L/BMxrYulVQuaSHpzv9H87RvI87ZC6Zx3zXnsGTBNK776dP89399kr2d3YUuy8xGmWwG6TouEdEt6WrgAaAYuD0iVku6Kll+C3A/cCHpTvW9wBXJ6rOAO5Krt4qAeyLi3mTZVyUtJn1qawPwF8n2Vku6B1gDdAOfioiefO3fSDR9Qjl3/NkSbnzoRW789Ys883I73/zwWZw0Y0KhSzOzUcJ31I+CO+qPx29faOUvf/QEHV09/P3738jFZ5xY6JLMbITwHfV2mHNPruK+a97KG2ZN4pofPs5f///P0NHtAzsze20cKmPYrMkV/PDKOq48t5rvNWzkA7c8wqbtewtdlpmNYA6VMa60uIjPXfgGvvWRs1i/bQ8X3fg7frVmS6HLMrMRyqFiALz71BO479PnMHdaJX9+ZyN//4tn6e7pLXRZZjbCOFTsgHmpSn7yyTfzoaXz+NbDTXzo2yvY8ur+QpdlZiOIQ8UOMa60mL977+nccMlinn65nYtu/B1/WLut0GWZ2QjhULEB/emZs1l+9VuYUlnG5d9ZwY0eo8XMsuBQsUEtmjmRn3/qLSw740S+8eALfNxjtJjZUThU7IjGl5fwD5cs5u/eezoNTW1cdOPvWLXRY7SY2cAcKnZUkvjQ0nn89JNvprS4iEu+9Qi3/a7JD6U0s8M4VCxrp82ezL99+q2c9/oZfOm+Z/nkXR6jxcwO5VCxYzK5opRvfeQsPn/RG/jVs1v4k3/6Pc+87DFazCzNoWLHTBJ/fk41d19ZR0dXL++7+T/57h/Ws7/Lzw4zG+scKnbcahdM475r3srShdP44r+tYenfPcSX7l3D+m17Cl2amRWIH30/Rh99n0sRwYr12/lew0YeeOYVunuDcxZN5/K6+bz99TMoKfbfLmajyZEefZ+3Qbps7JBEXXWKuuoUW3ft50ePbuIHj77EX3xvFbMmj+NDS+ZxyZK5zJg4rtClmlme5fVIRdL5wD+SHvnxtoj4cr/lSpZfSHrkx49HxGOSxgG/BcpJB9+PI+ILyTpfA/4E6ATWAVdExE5JC4BngeeTzTdExFVHqs9HKvnT3dPLQ89t5a6GjfzuxW2UFIl3n3YCH6mbz9KF00j/pzezkehIRyp5C5VkKOAXgHcCzaTHrL8sItZktLkQ+DTpUFkK/GNELE3CZnxE7JZUCvweuDYiGiS9C/h1MlzxVwAi4rNJqNwbEadlW6NDZWis37aH7zds5F9XNdO+r4tFMyZwed183vum2UwaV1ro8szsGBVq5MclwNqIaIqITuBuYFm/NsuAOyOtAZgiaVbyeXfSpjSZAiAifhkR3cmyBmBOHvfBcmDh9PF8/j2nsOJzb+dr/+WNVJYV84Xlq6n7u4f43M+eZs3mVwtdopnlSD77VGYDmzI+N5M+Gjlam9lAS3Kkswo4CbgpIlYM8B1/Bvwo4/NCSY8DrwKfj4jf9V9B0pXAlQDz5s07ph2y12ZcaTEfqJ3LB2rn8uSmndzVsJGfrGrmByteonb+VC6vm88Fp59AeUlxoUs1s+OUzyOVgU6a9z/XNmibiOiJiMWkj0SWSDrktJak/wV0A99PZrUA8yLiTOCvgB9ImnTYxiNujYjaiKitqqo6lv2xHDpj7hS+9oEzWPG5t/P5i95A255O/vJHT/Dmv/81X/n35zyssdkIlc8jlWZgbsbnOcDmY22TdML/BjgfeAZA0seA9wBvj6RTKCI6gI7k/SpJ64CTAXeaDGNTKsv483Oq+bO3LOQP67ZxV8NGvvXwOm55eB1//LoZfKRuPueeXEVxkTv2zUaCfIbKSmCRpIXAy8ClwIf6tVkOXC3pbtKnxtojokVSFdCVBEoF8A7gK3DgirLPAn8UEQf+nE3W2R4RPZKqgUVAUx73z3KoqEics6iKcxZVsXnnPu5+9CV+uHITV/zLSuZOq+BDS+bzwdo5pCaUF7pUMzuCfF9SfCFwA+lLim+PiP8t6SqAiLglucrrn0kfhewlfXlwo6Q3Anck6xUB90TE3ybbXEv6UuO25GsaIuIqSe8H/pb0KbEe4AsR8W9Hqs9Xfw1vXT29/HL1Fr7XsIGGpu2UFRdx0RtncXndPN40b6ovSzYrkIJcUjwSOFRGjhe37OKuho389LGX2dXRzRtmTeIjdfNZtvhExpf7Hl6zoeRQGYRDZeTZ09HNz5/YzPcaNvJsy6tMLC/h/WfN4fK6eZw0Y2KhyzMbExwqg3CojFwRwWMvpS9Lvu+pFjp7eqmrnsb7zpxDfU2KOVMrfHrMLE8cKoNwqIwObbs7uKexme+v2Ejzjn0AzJ5SwdKF0w48k2zuNIeMWa44VAbhUBldenuDta27aWhqo6GpjRVN22nb0wnArMnjkoBJB828aZUOGbPj5FAZhENldIsI1m5NQmb9dlY0tbFtdzpkTpg07kDALK1OsSDlkDHLlkNlEA6VsSUiWNe6m4am7cnRzHa27e4AYOak8nTALEwfzSycPt4hYzYIh8ogHCpjW0TQtG3PgYBZ0dTG1l3pkJkxsZylGafLqh0yZgd4kC6zAUiipmoCNVUT+PDS+UQE67ftSQfM+nS/zL89mX5qUNXE8oyO/2nUVE1wyJgNwKFilpBEddUEqqsm8KGl84gINrTtZUXS8d/QtJ17n2oBYPqEsvSRTBI0J81wyJiBQ8VsUJJYOH08C6eP59Il6ZB5afveAwHT0NTGfUnIpMaXsbT64CXMJ1VNoMgPwbQxyKFiliVJzE+NZ35qPJecnQ6ZTdv3JVeXtdGwro37n34FgHGlRdRUTeCkGRM4qe91xgTmp8ZTVpLPESfMCsuhYnacJDEvVcm8VCUfPHsuEUHzjn2sWL+d51pe5cWtu2ncsIOfP3FwNIeSIjE/VXkgZE6aMYFFMyZSXTWeyjL/72gjn/8Vm+WIJOZOq2TutMpD5u/t7KapdQ8vbt3F2q27D0y/enYrPb0Hr76cPaUiCZkJh4TOlMqyod4Vs+PmUDHLs8qyEk6bPZnTZk8+ZH5ndy8b2/YcCJkXk9eGpjY6unsPtJs+oexgyFRN4KQZE1k0cwIzJpb74gAbdhwqZgVSVlLEopkTWTTz0Kcr9/YGL+/cd9iRzc+f2Myu/d0H2k0sL6HmkNNo6dc5Uys9UqYVjEPFbJgpKjp4Gu281888MD8iaN3VkQ6Z1t28uCUdNg+/0MqPVzUfaFdeUsTC6eMPBMysyeM4YfI4TpxcwQmTx5EaX+Yr0yxvHCpmI4QkZkwax4xJ43jzSdMPWda+t4u1rYce2TzV3M4Dq1+hq+fQp2aUFouZk8Yxa/I4Zk2uOBA66dcKTpw8jtSEch/t2HHJa6gk48n/I+lhgW+LiC/3W65k+YWkhxP+eEQ8Jmkc8FvSwwaXAD+OiC8k60wDfgQsADYAH4yIHcmy64FPkB5O+JqIeCCf+2c2XEyuLOWs+dM4a/60Q+b39gZtezp5pX0/Le37aGnfT0v7fl5J3j/ZvJN/X72fzow+HEhfpTZzUjps0kc56cDJPOqpmujgscPlLVQkFQM3Ae8EmoGVkpZHxJqMZhcAi5JpKXBz8toBnBcRuyWVAr+X9IuIaACuAx6KiC9Lui75/FlJpwCXAqcCJwK/knRyRPTkax/NhruiIlE1sZyqieWcPmfygG0igu17OpOw2U/Lq/tp2bkvCaL9rNn8Kr9as+WQiwcAiovEjInlB45yBjrqmTmxnJJi35czluTzSGUJsDYimgAk3Q0sAzJDZRlwZ6SfatkgaYqkWRHRAuxO2pQmU2Ss87bk/R3Ab4DPJvPvjogOYL2ktUkNj+Rn98xGB0mkJpSTmlB+2BVqfSKCnXu70sHz6r6DAZQcAT33yi7+47lW9nUd+jdckWD6hPIDwVY1oZzpyWvVxPKDyyaUM6mixFezjQL5DJXZwKaMz82kj0KO1mY20JIc6awCTgJuiogVSZuZSegQES2SZmRsq2GAbR1C0pXAlQDz5s07jt0yG3skMXV8GVPHl3HKiZMGbBMRvLq/m1fa97O5/eCRzivt+9i2u5PWXR0817KLbbs76O49/OnoZcVFSdCUHQihzNCZnvE6vqzYATRM5TNUBvov3v9f0qBtktNWiyVNAX4m6bSIeOY1fh8RcStwK6QffX+E7ZnZMZDE5IpSJleU8roTJg7arrc3aN/XRevuDrbt6qB1dwetGa/bdnfy8s79PLGpne17Ohggf6goLc4qgKomljOutDiPe2395TNUmoG5GZ/nAJuPtU1E7JT0G+B84BlgS98pMkmzgK3H8H1mVmBFRQePek6eOXj4APT0pvt70mFzMHz6wmjb7g7Wb9vDo+u3s2Nv14DbmFheQtXEclITyphSWcaUilKmji9jckUpUypLmZrMm1JZxpTK9LyKUh8JHa98hspKYJGkhcDLpDvRP9SvzXLg6qS/ZSnQnoRFFdCVBEoF8A7gKxnrfAz4cvL684z5P5D0DdId9YuAR/O2d2aWd8UZFxocTVdPL227Dw+gvte23R1s2r6Xp/d2sXNfJ/u7egfdVllJUTp8KsuYXFl64H06dJLXjCDqW+ajojyGSkR0S7oaeID0JcW3R8RqSVcly28B7id9OfFa0pcUX5GsPgu4I+lXKQLuiYh7k2VfBu6R9AngJeADyfZWS7qH9IUA3cCnfOWX2dhRWlx04BLobOzv6mFnEjA79nTRvq+THXu7DszbuSd53dvFxra9PNm8kx17uw67/DrTuNIiplQcPOI5+L4vfEqZOK6UyrJiKstKktfkfXkxlaXFI/5qOQ8n7OGEzSxLEcH+rt4DQbRzXyfte7vSYZQE0M69fa9JYCXz+t+EOpiykqJ00JQWU1l+aPBUlBUzvl8gVZSVML6sOFlWkswrZnx5CRWl6dfKsmLKS4pydkrPwwmbmeWAJCrKiqkoq2DW5Iqs14sI9nX1sGNvF7v2d7G3s4e9HT3s7exOv+8c7P3BeVt37T9svYGuohtMkTgkmN7xhpl8/j2nHM+P4YgcKmZmeSYpObooAbIPo6Pp7O5lX2cPew4LoYyA6uhmb1dfGB1cNmtK7urI5FAxMxuhykqKKCspYnJlaaFLOWBk9wiZmdmw4lAxM7OccaiYmVnOOFTMzCxnHCpmZpYzDhUzM8sZh4qZmeWMQ8XMzHJmTD/7S1IrsPE1bGI6sC1H5Yx0/lkcyj+Pg/yzONRo+HnMj4iqgRaM6VB5rSQ1DvZQtbHGP4tD+edxkH8WhxrtPw+f/jIzs5xxqJiZWc44VF6bWwtdwDDin8Wh/PM4yD+LQ43qn4f7VMzMLGd8pGJmZjnjUDEzs5xxqBwHSedLel7SWknXFbqeQpI0V9J/SHpW0mpJ1xa6pkKTVCzpcUn3FrqWQpM0RdKPJT2X/BupL3RNhSTpvyX/nzwj6YeSxhW6plxzqBwjScXATcAFwCnAZZJyP9DzyNEN/PeIeANQB3xqjP88AK4Fni10EcPEPwL/HhGvB85gDP9cJM0GrgFqI+I0oBi4tLBV5Z5D5dgtAdZGRFNEdAJ3A8sKXFPBRERLRDyWvN9F+pfG7MJWVTiS5gAXAbcVupZCkzQJOBf4DkBEdEbEzoIWVXglQIWkEqAS2FzgenLOoXLsZgObMj43M4Z/iWaStAA4E1hR4FIK6QbgM0BvgesYDqqBVuC7yenA2ySNL3RRhRIRLwP/B3gJaAHaI+KXha0q9xwqx04DzBvz12VLmgD8BPjLiHi10PUUgqT3AFsjYlWhaxkmSoA3ATdHxJnAHmDM9kFKmkr6rMZC4ERgvKTLC1tV7jlUjl0zMDfj8xxG4SHssZBUSjpQvh8RPy10PQX0FuBiSRtInxY9T9JdhS2poJqB5ojoO3L9MemQGaveAayPiNaI6AJ+Cry5wDXlnEPl2K0EFklaKKmMdEfb8gLXVDCSRPqc+bMR8Y1C11NIEXF9RMyJiAWk/138OiJG3V+i2YqIV4BNkl6XzHo7sKaAJRXaS0CdpMrk/5u3MwovXCgpdAEjTUR0S7oaeID01Ru3R8TqApdVSG8BPgI8LemJZN7nIuL+wpVkw8inge8nf4A1AVcUuJ6CiYgVkn4MPEb6qsnHGYWPbPFjWszMLGd8+svMzHLGoWJmZjnjUDEzs5xxqJiZWc44VMzMLGccKmZ5JqlH0hMZU87uKpe0QNIzudqe2Wvl+1TM8m9fRCwudBFmQ8FHKmYFImmDpK9IejSZTkrmz5f0kKSnktd5yfyZkn4m6clk6nvER7GkbyfjdPxSUkXBdsrGPIeKWf5V9Dv9dUnGslcjYgnwz6SfcEzy/s6IeCPwfeDGZP6NwMMRcQbpZ2j1PclhEXBTRJwK7ATen9e9MTsC31FvlmeSdkfEhAHmbwDOi4im5KGcr0REStI2YFZEdCXzWyJiuqRWYE5EdGRsYwHwYEQsSj5/FiiNiC8Nwa6ZHcZHKmaFFYO8H6zNQDoy3vfgvlIrIIeKWWFdkvH6SPL+Pzk4zOyHgd8n7x8CPgnpYa2TkRXNhhX/RWOWfxUZT3CG9JjtfZcVl0taQfoPvMuSedcAt0v6n6RHTux7su+1wK2SPkH6iOSTpEcQNBs23KdiViBJn0ptRGwrdC1mueLTX2ZmljM+UjEzs5zxkYqZmeWMQ8XMzHLGoWJmZjnjUDEzs5xxqJiZWc78X2KrWm7lsj8uAAAAAElFTkSuQmCC\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots()\n", - "ax.plot(embedder._history['loss'])\n", - "ax.set_ylabel('Cross Entropy')\n", - "ax.set_xlabel('Epoch')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python [conda env:umap_dev_new]", - "language": "python", - "name": "conda-env-umap_dev_new-py" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.8" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/notebooks/Parametric_UMAP/07.0-parametric-umap-global-loss.ipynb b/notebooks/Parametric_UMAP/07.0-parametric-umap-global-loss.ipynb deleted file mode 100644 index 1abe7654..00000000 --- a/notebooks/Parametric_UMAP/07.0-parametric-umap-global-loss.ipynb +++ /dev/null @@ -1,909 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Custom embedder for parametric UMAP. \n", - "This notebook shows you how to run a UMAP projection with a custom embedder. " - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T16:13:15.369321Z", - "start_time": "2021-04-20T16:13:15.358876Z" - } - }, - "outputs": [], - "source": [ - "import tensorflow_probability as tfp" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T16:13:15.385007Z", - "start_time": "2021-04-20T16:13:15.371905Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "'0.12.2'" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tfp.__version__" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T16:13:16.585987Z", - "start_time": "2021-04-20T16:13:15.387070Z" - } - }, - "outputs": [], - "source": [ - "import tensorflow as tf" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T16:13:16.591434Z", - "start_time": "2021-04-20T16:13:16.587500Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "'2.4.1'" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tf.__version__" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### load data" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T16:13:16.917685Z", - "start_time": "2021-04-20T16:13:16.592628Z" - } - }, - "outputs": [], - "source": [ - "from tensorflow.keras.datasets import mnist\n", - "(train_images, Y_train), (test_images, Y_test) = mnist.load_data()\n", - "train_images = train_images.reshape((train_images.shape[0], -1))/255.\n", - "test_images = test_images.reshape((test_images.shape[0], -1))/255." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-16T22:12:46.790121Z", - "start_time": "2020-08-16T22:12:46.759185Z" - } - }, - "source": [ - "### create parametric umap model" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T16:13:19.859722Z", - "start_time": "2021-04-20T16:13:16.919201Z" - } - }, - "outputs": [], - "source": [ - "from umap.parametric_umap import ParametricUMAP" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T16:13:19.864293Z", - "start_time": "2021-04-20T16:13:19.861240Z" - } - }, - "outputs": [], - "source": [ - "embedder = ParametricUMAP(\n", - " global_correlation_loss_weight = 0.1, \n", - " n_epochs=25,\n", - " verbose=True\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T16:18:35.426794Z", - "start_time": "2021-04-20T16:13:19.865644Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ParametricUMAP(global_correlation_loss_weight=0.1,\n", - " optimizer=)\n", - "Construct fuzzy simplicial set\n", - "Tue Apr 20 09:13:20 2021 Finding Nearest Neighbors\n", - "Tue Apr 20 09:13:20 2021 Building RP forest with 17 trees\n", - "Tue Apr 20 09:13:21 2021 parallel NN descent for 16 iterations\n", - "\t 0 / 16\n", - "\t 1 / 16\n", - "\t 2 / 16\n", - "\t 3 / 16\n", - "\t 4 / 16\n", - "Tue Apr 20 09:13:30 2021 Finished Nearest Neighbor Search\n", - "Tue Apr 20 09:13:32 2021 Construct embedding\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/mnt/cube/tsainbur/Projects/github_repos/umap/umap/parametric_umap.py:303: UserWarning: Setting tensorflow to run eagerly for global_correlation_loss.\n", - " warn(\"Setting tensorflow to run eagerly for global_correlation_loss.\")\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 1/10\n", - "923/923 [==============================] - 29s 31ms/step - loss: 0.2051 - global_correlation_loss: -0.6232 - umap_loss: 0.2674\n", - "Epoch 2/10\n", - "923/923 [==============================] - 34s 37ms/step - loss: 0.1035 - global_correlation_loss: -0.6369 - umap_loss: 0.1671\n", - "Epoch 3/10\n", - "923/923 [==============================] - 30s 32ms/step - loss: 0.0875 - global_correlation_loss: -0.6163 - umap_loss: 0.1491\n", - "Epoch 4/10\n", - "923/923 [==============================] - 29s 32ms/step - loss: 0.0784 - global_correlation_loss: -0.6051 - umap_loss: 0.1389\n", - "Epoch 5/10\n", - "923/923 [==============================] - 29s 31ms/step - loss: 0.0725 - global_correlation_loss: -0.6000 - umap_loss: 0.1325\n", - "Epoch 6/10\n", - "923/923 [==============================] - 29s 31ms/step - loss: 0.0683 - global_correlation_loss: -0.5937 - umap_loss: 0.1276\n", - "Epoch 7/10\n", - "923/923 [==============================] - 28s 31ms/step - loss: 0.0644 - global_correlation_loss: -0.5900 - umap_loss: 0.1234\n", - "Epoch 8/10\n", - "923/923 [==============================] - 29s 31ms/step - loss: 0.0620 - global_correlation_loss: -0.5868 - umap_loss: 0.1207\n", - "Epoch 9/10\n", - "923/923 [==============================] - 29s 31ms/step - loss: 0.0597 - global_correlation_loss: -0.5804 - umap_loss: 0.1178\n", - "Epoch 10/10\n", - "923/923 [==============================] - 29s 31ms/step - loss: 0.0582 - global_correlation_loss: -0.5797 - umap_loss: 0.1162\n", - "1875/1875 [==============================] - 1s 682us/step\n", - "Tue Apr 20 09:18:35 2021 Finished embedding\n" - ] - } - ], - "source": [ - "embedding = embedder.fit_transform(train_images)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### plot results" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T16:18:35.430906Z", - "start_time": "2021-04-20T16:18:35.428266Z" - } - }, - "outputs": [], - "source": [ - "embedding = embedder.embedding_" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T16:18:35.804963Z", - "start_time": "2021-04-20T16:18:35.433333Z" - } - }, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T16:18:36.563095Z", - "start_time": "2021-04-20T16:18:35.806582Z" - } - }, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots( figsize=(8, 8))\n", - "sc = ax.scatter(\n", - " embedding[:, 0],\n", - " embedding[:, 1],\n", - " c=Y_train.astype(int)[:len(embedding)],\n", - " cmap=\"tab10\",\n", - " s=0.1,\n", - " alpha=0.5,\n", - " rasterized=True,\n", - ")\n", - "ax.axis('equal')\n", - "ax.set_title(\"UMAP in Tensorflow embedding\", fontsize=20)\n", - "plt.colorbar(sc, ax=ax);" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### measure at global structure as correlation of pairwise distances" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T16:18:36.566471Z", - "start_time": "2021-04-20T16:18:36.564526Z" - } - }, - "outputs": [], - "source": [ - "import numpy as np\n", - "import scipy.stats\n", - "import sklearn" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T16:18:36.630552Z", - "start_time": "2021-04-20T16:18:36.567600Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "r^2=0.5481080601471058, p=0.0\n" - ] - } - ], - "source": [ - "nex = 1000\n", - "sample1 = np.random.randint(len(train_images), size=nex)\n", - "sample2 = np.random.randint(len(train_images), size=nex)\n", - "x1 = train_images[sample1]\n", - "x2 = train_images[sample2]\n", - "z1 = embedding[sample1]\n", - "z2 = embedding[sample2]\n", - "x_dist = sklearn.metrics.pairwise_distances(x1, x2).flatten()\n", - "\n", - "z_dist = sklearn.metrics.pairwise_distances(z1, z2).flatten()\n", - "\n", - "corr, p = scipy.stats.pearsonr(x_dist, z_dist)\n", - "print(\"r^2={}, p={}\".format(corr, p))" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T16:18:37.004894Z", - "start_time": "2021-04-20T16:18:36.631969Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0, 0.5, 'Embedding distances')" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots()\n", - "\n", - "ax.hist(x_dist, color = 'k', alpha = 0.1, density=True)\n", - "ax.set_ylabel('Density of data distances')\n", - "ax.set_xlabel('Data distance')\n", - "\n", - "ax2 = ax.twinx()\n", - "bins = np.linspace(np.min(x_dist), np.max(x_dist), 20)\n", - "xbins = np.digitize(x_dist, bins = bins)\n", - "zmean = np.array([np.mean(z_dist[xbins == i]) for i in np.unique(xbins)])\n", - "zstd = np.array([np.std(z_dist[xbins == i]) for i in np.unique(xbins)])\n", - "ax2.plot(bins, zmean)\n", - "ax2.fill_between(bins, zmean-zstd, zmean+zstd, alpha = 0.1)\n", - "ax2.set_ylabel('Embedding distances')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### plotting loss" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T16:18:37.009309Z", - "start_time": "2021-04-20T16:18:37.006265Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['loss', 'global_correlation_loss', 'umap_loss'])" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "embedder._history.keys()" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T16:18:37.170844Z", - "start_time": "2021-04-20T16:18:37.010411Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0, 0.5, 'global_correlation_loss')" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots()\n", - "ax.plot(embedder._history['umap_loss'])\n", - "ax.set_ylabel('loss')\n", - "ax.set_xlabel('Epoch')\n", - "ax2 = ax.twinx()\n", - "ax2.plot(embedder._history['global_correlation_loss'], color = 'r')\n", - "ax2.set_ylabel('global_correlation_loss')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Repeat with more global structure" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "ExecuteTime": { - "end_time": "2020-08-16T22:12:46.790121Z", - "start_time": "2020-08-16T22:12:46.759185Z" - } - }, - "source": [ - "### create parametric umap model" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T16:18:37.334308Z", - "start_time": "2021-04-20T16:18:37.172273Z" - } - }, - "outputs": [], - "source": [ - "embedder = ParametricUMAP(\n", - " global_correlation_loss_weight = 1.0,\n", - " n_epochs=25,\n", - " verbose=True\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T16:23:41.316464Z", - "start_time": "2021-04-20T16:18:37.336327Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ParametricUMAP(global_correlation_loss_weight=1.0,\n", - " optimizer=)\n", - "Construct fuzzy simplicial set\n", - "Tue Apr 20 09:18:37 2021 Finding Nearest Neighbors\n", - "Tue Apr 20 09:18:37 2021 Building RP forest with 17 trees\n", - "Tue Apr 20 09:18:38 2021 parallel NN descent for 16 iterations\n", - "\t 0 / 16\n", - "\t 1 / 16\n", - "\t 2 / 16\n", - "\t 3 / 16\n", - "\t 4 / 16\n", - "Tue Apr 20 09:18:40 2021 Finished Nearest Neighbor Search\n", - "Tue Apr 20 09:18:41 2021 Construct embedding\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/mnt/cube/tsainbur/Projects/github_repos/umap/umap/parametric_umap.py:303: UserWarning: Setting tensorflow to run eagerly for global_correlation_loss.\n", - " warn(\"Setting tensorflow to run eagerly for global_correlation_loss.\")\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 1/10\n", - "923/923 [==============================] - 29s 31ms/step - loss: -0.4368 - global_correlation_loss: -0.7290 - umap_loss: 0.2921\n", - "Epoch 2/10\n", - "923/923 [==============================] - 31s 33ms/step - loss: -0.5582 - global_correlation_loss: -0.7693 - umap_loss: 0.2110\n", - "Epoch 3/10\n", - "923/923 [==============================] - 30s 33ms/step - loss: -0.5634 - global_correlation_loss: -0.7673 - umap_loss: 0.2039\n", - "Epoch 4/10\n", - "923/923 [==============================] - 31s 33ms/step - loss: -0.5674 - global_correlation_loss: -0.7681 - umap_loss: 0.2007\n", - "Epoch 5/10\n", - "923/923 [==============================] - 30s 33ms/step - loss: -0.5694 - global_correlation_loss: -0.7678 - umap_loss: 0.1983\n", - "Epoch 6/10\n", - "923/923 [==============================] - 31s 33ms/step - loss: -0.5731 - global_correlation_loss: -0.7683 - umap_loss: 0.1952\n", - "Epoch 7/10\n", - "923/923 [==============================] - 29s 32ms/step - loss: -0.5729 - global_correlation_loss: -0.7668 - umap_loss: 0.1939\n", - "Epoch 8/10\n", - "923/923 [==============================] - 27s 29ms/step - loss: -0.5743 - global_correlation_loss: -0.7671 - umap_loss: 0.1928\n", - "Epoch 9/10\n", - "923/923 [==============================] - 27s 29ms/step - loss: -0.5753 - global_correlation_loss: -0.7671 - umap_loss: 0.1918\n", - "Epoch 10/10\n", - "923/923 [==============================] - 27s 29ms/step - loss: -0.5762 - global_correlation_loss: -0.7665 - umap_loss: 0.1903\n", - "1875/1875 [==============================] - 1s 700us/step\n", - "Tue Apr 20 09:23:41 2021 Finished embedding\n" - ] - } - ], - "source": [ - "embedding = embedder.fit_transform(train_images)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### plot results" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T16:23:41.320944Z", - "start_time": "2021-04-20T16:23:41.318206Z" - } - }, - "outputs": [], - "source": [ - "embedding = embedder.embedding_" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T16:23:41.333978Z", - "start_time": "2021-04-20T16:23:41.322198Z" - } - }, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T16:23:42.030074Z", - "start_time": "2021-04-20T16:23:41.335861Z" - } - }, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots( figsize=(8, 8))\n", - "sc = ax.scatter(\n", - " embedding[:, 0],\n", - " embedding[:, 1],\n", - " c=Y_train.astype(int)[:len(embedding)],\n", - " cmap=\"tab10\",\n", - " s=0.1,\n", - " alpha=0.5,\n", - " rasterized=True,\n", - ")\n", - "ax.axis('equal')\n", - "ax.set_title(\"UMAP in Tensorflow embedding\", fontsize=20)\n", - "plt.colorbar(sc, ax=ax);" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### measure at global structure as correlation of pairwise distances" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T16:23:42.034001Z", - "start_time": "2021-04-20T16:23:42.031484Z" - } - }, - "outputs": [], - "source": [ - "import numpy as np\n", - "import scipy.stats\n", - "import sklearn" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T16:23:42.102863Z", - "start_time": "2021-04-20T16:23:42.035302Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "r^2=0.7568037641794829, p=0.0\n" - ] - } - ], - "source": [ - "nex = 1000\n", - "sample1 = np.random.randint(len(train_images), size=nex)\n", - "sample2 = np.random.randint(len(train_images), size=nex)\n", - "x1 = train_images[sample1]\n", - "x2 = train_images[sample2]\n", - "z1 = embedding[sample1]\n", - "z2 = embedding[sample2]\n", - "x_dist = sklearn.metrics.pairwise_distances(x1, x2).flatten()\n", - "\n", - "z_dist = sklearn.metrics.pairwise_distances(z1, z2).flatten()\n", - "\n", - "corr, p = scipy.stats.pearsonr(x_dist, z_dist)\n", - "print(\"r^2={}, p={}\".format(corr, p))" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T16:23:42.166921Z", - "start_time": "2021-04-20T16:23:42.104323Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "(array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,\n", - " 18, 19, 20]),\n", - " 20)" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "np.unique(xbins), len(np.unique(xbins))" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T16:23:42.550229Z", - "start_time": "2021-04-20T16:23:42.168253Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0, 0.5, 'Embedding distances')" - ] - }, - "execution_count": 26, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots()\n", - "\n", - "ax.hist(x_dist, color = 'k', alpha = 0.1, density=True)\n", - "ax.set_ylabel('Density of data distances')\n", - "ax.set_xlabel('Data distance')\n", - "\n", - "ax2 = ax.twinx()\n", - "bins = np.linspace(np.min(x_dist), np.max(x_dist), 20)\n", - "xbins = np.digitize(x_dist, bins = bins)\n", - "zmean = np.array([np.mean(z_dist[xbins == i]) for i in np.unique(xbins)])\n", - "zstd = np.array([np.std(z_dist[xbins == i]) for i in np.unique(xbins)])\n", - "ax2.plot(np.unique(xbins), zmean)\n", - "ax2.fill_between(np.unique(xbins), zmean-zstd, zmean+zstd, alpha = 0.1)\n", - "ax2.set_ylabel('Embedding distances')\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### plotting loss" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T16:23:42.554788Z", - "start_time": "2021-04-20T16:23:42.551644Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['loss', 'global_correlation_loss', 'umap_loss'])" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "embedder._history.keys()" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": { - "ExecuteTime": { - "end_time": "2021-04-20T16:23:42.728721Z", - "start_time": "2021-04-20T16:23:42.555982Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0, 0.5, 'global_correlation_loss')" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots()\n", - "ax.plot(embedder._history['umap_loss'])\n", - "ax.set_ylabel('umap_loss')\n", - "ax.set_xlabel('Epoch')\n", - "ax2 = ax.twinx()\n", - "ax2.plot(embedder._history['global_correlation_loss'], color = 'r')\n", - "ax2.set_ylabel('global_correlation_loss')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python [conda env:umap_dev_new]", - "language": "python", - "name": "conda-env-umap_dev_new-py" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.8" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/umap/parametric_umap.py b/umap/parametric_umap.py index 3f6b4146..243111ad 100644 --- a/umap/parametric_umap.py +++ b/umap/parametric_umap.py @@ -8,31 +8,33 @@ import codecs, pickle from sklearn.neighbors import KDTree -try: - # Used for tf.data. - import tensorflow as tf -except ImportError: - warn( - """The umap.parametric_umap package requires Tensorflow > 2.0 to be installed. - You can install Tensorflow at https://www.tensorflow.org/install - - or you can install the CPU version of Tensorflow using - - pip install umap-learn[parametric_umap] - - """ - ) - raise ImportError("umap.parametric_umap requires Tensorflow >= 2.0") from None - +# keras is needed regardless of backend (torch, tensorflow, jax) try: import keras from keras import ops except ImportError: - warn( - """The umap.parametric_umap package requires Keras >= 3 to be installed.""" - ) + warn("""The umap.parametric_umap package requires Keras >= 3 to be installed.""") raise ImportError("umap.parametric_umap requires Keras") from None +if keras.backend.backend() == "tensorflow": + import tensorflow as tf + warn( + "Using Tensorflow backend." + ) +elif keras.backend.backend() == "torch": + import torch + from torch.utils.data import Dataset, DataLoader + warn( + "Using PyTorch backend." + ) +elif keras.backend.backend() == "jax": + warn( + "Using jax backend, which may be unstable." + ) + import tensorflow as tf +else: + raise NotImplementedError( + f"Parametric UMAP currently only supports Tensorflow and PyTorch as backends, not {keras.backend.backend()}") class ParametricUMAP(UMAP): def __init__( @@ -44,11 +46,13 @@ def __init__( parametric_reconstruction=False, parametric_reconstruction_loss_fcn=None, parametric_reconstruction_loss_weight=1.0, + n_training_epochs = 1, autoencoder_loss=False, - reconstruction_validation=None, + validation_data=None, + learning_rate = 1e-3, global_correlation_loss_weight=0, keras_fit_kwargs={}, - **kwargs + **kwargs, ): """ Parametric UMAP subclassing UMAP-learn, based on keras/tensorflow. @@ -72,10 +76,17 @@ def __init__( by default keras.losses.BinaryCrossentropy parametric_reconstruction_loss_weight : float, optional How to weight the parametric reconstruction loss relative to umap loss, by default 1.0 + n_training_epochs : int, optional + The number of epochs over the UMAP graph to train for (irrespective of :python:`loss_report_frequency`). + Training the network for multiple epochs will result in better embeddings, but take longer. + This parameter is different than :python:`n_epochs` in the base UMAP class, which corresponds to the maximum + number of times an edge is trained in a single ParametricUMAP epoch, by default 1 autoencoder_loss : bool, optional - [description], by default False - reconstruction_validation : array, optional - validation X data for reconstruction loss, by default None + Whether to include autoencoder loss, by default False + validation_data : array, optional + validation X data for projection and reconstruction loss, by default None + learning_rate : float, optional + The learning rate for the neural network, by default 1e-3 global_correlation_loss_weight : float, optional Whether to additionally train on correlation of global pairwise relationships (>0), by default 0 keras_fit_kwargs : dict, optional @@ -94,33 +105,34 @@ def __init__( self.parametric_reconstruction_loss_fcn = parametric_reconstruction_loss_fcn self.autoencoder_loss = autoencoder_loss self.batch_size = batch_size + self.learning_rate = learning_rate self.loss_report_frequency = 10 self.global_correlation_loss_weight = global_correlation_loss_weight - self.reconstruction_validation = ( - reconstruction_validation # holdout data for reconstruction acc + self.validation_data = ( + validation_data # holdout data for reconstruction acc ) self.keras_fit_kwargs = keras_fit_kwargs # arguments for model.fit self.parametric_model = None # How many epochs to train for # (different than n_epochs which is specific to each sample) - self.n_training_epochs = 1 + self.n_training_epochs = n_training_epochs # Set optimizer. # Adam is better for parametric_embedding. Use gradient clipping by value. self.optimizer = keras.optimizers.Adam(1e-3, clipvalue=4.0) - if self.encoder is not None: - if encoder.outputs[0].shape[-1] != self.n_components: - raise ValueError( - ( - "Dimensionality of embedder network output ({}) does" - "not match n_components ({})".format( - encoder.outputs[0].shape[-1], self.n_components - ) - ) - ) + #if self.encoder is not None: + # if encoder.outputs[0].shape[-1] != self.n_components: + # raise ValueError( + # ( + # "Dimensionality of embedder network output ({}) does" + # "not match n_components ({})".format( + # encoder.outputs[0].shape[-1], self.n_components + # ) + # ) + # ) def fit(self, X, y=None, precomputed_distances=None): if self.metric == "precomputed": @@ -168,7 +180,7 @@ def transform(self, X): ) def inverse_transform(self, X): - """ Transform X in the existing embedded space back into the input + """Transform X in the existing embedded space back into the input data space and return that transformed output. Parameters ---------- @@ -200,6 +212,7 @@ def _define_model(self): parametric_reconstruction_loss_weight=prlw, global_correlation_loss_weight=self.global_correlation_loss_weight, autoencoder_loss=self.autoencoder_loss, + learning_rate = self.learning_rate ) def _fit_embed_data(self, X, n_epochs, init, random_state): @@ -257,29 +270,27 @@ def _fit_embed_data(self, X, n_epochs, init, random_state): self._define_model() # report every loss_report_frequency subdivision of an epochs - steps_per_epoch = int( - n_edges / self.batch_size / self.loss_report_frequency - ) + steps_per_epoch = int(n_edges / self.batch_size / self.loss_report_frequency) # Validation dataset for reconstruction if ( - self.parametric_reconstruction - and self.reconstruction_validation is not None + #self.parametric_reconstruction and + self.validation_data is not None ): # reshape data for network if len(self.dims) > 1: - self.reconstruction_validation = np.reshape( - self.reconstruction_validation, - [len(self.reconstruction_validation)] + list(self.dims), + self.validation_data = np.reshape( + self.validation_data, + [len(self.validation_data)] + list(self.dims), ) validation_data = ( ( - self.reconstruction_validation, - ops.zeros_like(self.reconstruction_validation), + self.validation_data, + ops.zeros_like(self.validation_data), ), - {"reconstruction": self.reconstruction_validation}, + {"reconstruction": self.validation_data}, ) else: validation_data = None @@ -290,7 +301,7 @@ def _fit_embed_data(self, X, n_epochs, init, random_state): epochs=self.loss_report_frequency * self.n_training_epochs, steps_per_epoch=steps_per_epoch, validation_data=validation_data, - **self.keras_fit_kwargs + **self.keras_fit_kwargs, ) # save loss history dictionary self._history = history.history @@ -305,7 +316,8 @@ def __getstate__(self): return dict( (k, v) for (k, v) in self.__dict__.items() - if should_pickle(k, v) and k not in ("optimizer", "encoder", "decoder", "parametric_model") + if should_pickle(k, v) + and k not in ("optimizer", "encoder", "decoder", "parametric_model") ) def save(self, save_location, verbose=True): @@ -326,7 +338,9 @@ def save(self, save_location, verbose=True): # save parametric_model if self.parametric_model is not None: - parametric_model_output = os.path.join(save_location, "parametric_model.keras") + parametric_model_output = os.path.join( + save_location, "parametric_model.keras" + ) self.parametric_model.save(parametric_model_output) if verbose: print("Keras full model saved to {}".format(parametric_model_output)) @@ -503,9 +517,7 @@ def compute_cross_entropy( """ # cross entropy - attraction_term = -probabilities_graph * ops.log_sigmoid( - log_probabilities_distance - ) + attraction_term = -probabilities_graph * ops.log_sigmoid(log_probabilities_distance) # use numerically stable repellent term # Shi et al. 2022 (https://arxiv.org/abs/2111.08851) # log(1 - sigmoid(logits)) = log(sigmoid(logits)) - logits @@ -520,7 +532,6 @@ def compute_cross_entropy( return attraction_term, repellant_term, CE - def prepare_networks( encoder, decoder, @@ -588,6 +599,94 @@ def prepare_networks( return encoder, decoder +def get_torch_dataset( + X, + edges_to_exp, + edges_from_exp, + batch_size, + parametric_reconstruction, + global_correlation_loss_weight, +): + class UMAPDatasetTorch(Dataset): + def __init__( + self, + edges_to_ix, + edges_from_ix, + data, + batch_size, + parametric_reconstruction, + global_correlation_loss_weight, + ): + self.edges_to_ix = edges_to_ix + self.edges_from_ix = edges_from_ix + self.data = torch.Tensor(data) + self.batch_size = batch_size + self.global_correlation_loss_weight = global_correlation_loss_weight + self.parametric_reconstruction = parametric_reconstruction + + def __len__(self): + return self.edges_to_ix.shape[0] + + def __getitem__(self, index): + edge_to_batch = self.data[self.edges_to_ix[index]] + edge_from_batch = self.data[self.edges_from_ix[index]] + outputs = {"umap": torch.zeros(self.batch_size)} + if self.global_correlation_loss_weight > 0: + outputs["global_correlation"] = edge_to_batch + if self.parametric_reconstruction: + outputs["reconstruction"] = edge_to_batch + return (edge_to_batch, edge_from_batch), outputs + + return DataLoader( + dataset=UMAPDatasetTorch( + edges_to_exp, + edges_from_exp, + X, + batch_size, + parametric_reconstruction, + global_correlation_loss_weight, + ), + batch_size=batch_size, + shuffle=True, + ) + + +def get_tf_dataset( + X, + edges_to_exp, + edges_from_exp, + batch_size, + parametric_reconstruction, + global_correlation_loss_weight, +): + gather_indices_in_python = X.nbytes * 1e-9 > 0.5 + + def gather_index(index): + return X[index] + + def map_func(edge_to, edge_from): + if gather_indices_in_python: + edge_to_batch = tf.py_function(gather_index, [edge_to], [tf.float32])[0] + edge_from_batch = tf.py_function(gather_index, [edge_from], [tf.float32])[0] + else: + edge_to_batch = tf.gather(X, edge_to) + edge_from_batch = tf.gather(X, edge_from) + + outputs = {"umap": tf.zeros([batch_size])} + if global_correlation_loss_weight > 0: + outputs["global_correlation"] = edge_to_batch + if parametric_reconstruction: + outputs["reconstruction"] = edge_to_batch + return (edge_to_batch, edge_from_batch), outputs + + dataset = tf.data.Dataset.from_tensor_slices((edges_to_exp, edges_from_exp)) + dataset = dataset.repeat() + dataset = dataset.shuffle(10000) + dataset = dataset.batch(batch_size, drop_remainder=True) + dataset = dataset.map(map_func, num_parallel_calls=tf.data.experimental.AUTOTUNE) + dataset = dataset.prefetch(10) + return dataset + def construct_edge_dataset( X, @@ -613,67 +712,37 @@ def construct_edge_dataset( parametric_reconstruction : bool Whether the decoder is parametric or non-parametric """ - def gather_index(index): - return X[index] - - # if X is > 512Mb in size, we need to use a different, slower method for - # batching data. - gather_indices_in_python = True if X.nbytes * 1e-9 > 0.5 else False - def gather_X(edge_to, edge_from): - # gather data from indexes (edges) in either numpy of tf, depending on array size - if gather_indices_in_python: - edge_to_batch = tf.py_function(gather_index, [edge_to], [tf.float32])[0] - edge_from_batch = tf.py_function(gather_index, [edge_from], [tf.float32])[0] - else: - edge_to_batch = tf.gather(X, edge_to) - edge_from_batch = tf.gather(X, edge_from) - return edge_to_batch, edge_from_batch - - def get_outputs(edge_to_batch, edge_from_batch): - outputs = {"umap": ops.repeat(0, batch_size)} - if global_correlation_loss_weight > 0: - outputs["global_correlation"] = edge_to_batch - if parametric_reconstruction: - # add reconstruction to iterator output - # edge_out = ops.concatenate([edge_to_batch, edge_from_batch], axis=0) - outputs["reconstruction"] = edge_to_batch - return (edge_to_batch, edge_from_batch), outputs - - # get data from graph _, epochs_per_sample, head, tail, weight, n_vertices = get_graph_elements( graph_, n_epochs ) - # number of elements per batch for embedding if batch_size is None: # batch size can be larger if its just over embeddings batch_size = int(np.min([n_vertices, 1000])) + + edges_to_exp, edges_from_exp = np.repeat( + head, epochs_per_sample.astype("int") + ), np.repeat(tail, epochs_per_sample.astype("int")) - edges_to_exp, edges_from_exp = ( - np.repeat(head, epochs_per_sample.astype("int")), - np.repeat(tail, epochs_per_sample.astype("int")), - ) - - # shuffle edges - shuffle_mask = np.random.permutation(range(len(edges_to_exp))) - edges_to_exp = edges_to_exp[shuffle_mask].astype(np.int64) - edges_from_exp = edges_from_exp[shuffle_mask].astype(np.int64) - - # create edge iterator - edge_dataset = tf.data.Dataset.from_tensor_slices( - (edges_to_exp, edges_from_exp) - ) - edge_dataset = edge_dataset.repeat() - edge_dataset = edge_dataset.shuffle(10000) - edge_dataset = edge_dataset.batch(batch_size, drop_remainder=True) - edge_dataset = edge_dataset.map( - gather_X, num_parallel_calls=tf.data.experimental.AUTOTUNE - ) - edge_dataset = edge_dataset.map( - get_outputs, num_parallel_calls=tf.data.experimental.AUTOTUNE - ) - edge_dataset = edge_dataset.prefetch(10) + if keras.config.backend() == "torch": + edge_dataset = get_torch_dataset( + X, + edges_to_exp, + edges_from_exp, + batch_size, + parametric_reconstruction, + global_correlation_loss_weight, + ) + elif keras.config.backend() in ("tensorflow", "jax"): + edge_dataset = get_tf_dataset( + X, + edges_to_exp, + edges_from_exp, + batch_size, + parametric_reconstruction, + global_correlation_loss_weight, + ) return edge_dataset, batch_size, len(edges_to_exp), head, tail, weight @@ -694,22 +763,26 @@ def should_pickle(key, val): picklable: bool whether the dictionary item can be pickled """ + error_types = ( + pickle.PicklingError, + TypeError, + OverflowError, + TypingError, + AttributeError, + ) + if keras.backend.backend() == "tensorflow": + error_types += ( + tf.errors.InvalidArgumentError, + tf.errors.InternalError, + tf.errors.NotFoundError + ) try: ## make sure object can be pickled and then re-read # pickle object pickled = codecs.encode(pickle.dumps(val), "base64").decode() # unpickle object _ = pickle.loads(codecs.decode(pickled.encode(), "base64")) - except ( - pickle.PicklingError, - tf.errors.InvalidArgumentError, - TypeError, - tf.errors.InternalError, - tf.errors.NotFoundError, - OverflowError, - TypingError, - AttributeError, - ) as e: + except error_types as e: warn("Did not pickle {}: {}".format(key, e)) return False except ValueError as e: @@ -759,17 +832,13 @@ def load_ParametricUMAP(save_location, verbose=True): # save parametric_model parametric_model_output = os.path.join(save_location, "parametric_model") if os.path.exists(parametric_model_output): - model.parametric_model = keras.models.load_model( - parametric_model_output - ) + model.parametric_model = keras.models.load_model(parametric_model_output) print("Keras full model loaded from {}".format(parametric_model_output)) return model -def covariance(x, - y=None, - keepdims=False): +def covariance(x, y=None, keepdims=False): """Adapted from TF Probability.""" x = ops.convert_to_tensor(x) # Covariance *only* uses the centered versions of x (and y). @@ -777,8 +846,7 @@ def covariance(x, if y is None: y = x - event_axis = ops.mean( - x * ops.conj(y), axis=0, keepdims=keepdims) + event_axis = ops.mean(x * ops.conj(y), axis=0, keepdims=keepdims) else: y = ops.convert_to_tensor(y, dtype=x.dtype) y = y - ops.mean(y, axis=0, keepdims=True) @@ -795,20 +863,16 @@ def covariance(x, n_samples = ops.shape(x_permed)[1] # Flatten sample_axis into one long dim. - x_permed_flat = ops.reshape( - x_permed, (n_events, n_samples)) - y_permed_flat = ops.reshape( - y_permed, (n_events, n_samples)) + x_permed_flat = ops.reshape(x_permed, (n_events, n_samples)) + y_permed_flat = ops.reshape(y_permed, (n_events, n_samples)) # Do the same for event_axis. - x_permed_flat = ops.reshape( - x_permed, (n_events, n_samples)) - y_permed_flat = ops.reshape( - y_permed, (n_events, n_samples)) + x_permed_flat = ops.reshape(x_permed, (n_events, n_samples)) + y_permed_flat = ops.reshape(y_permed, (n_events, n_samples)) # After matmul, cov.shape = batch_shape + [n_events, n_events] - cov = ops.matmul( - x_permed_flat, ops.transpose(y_permed_flat)) / ops.cast( - n_samples, x.dtype) + cov = ops.matmul(x_permed_flat, ops.transpose(y_permed_flat)) / ops.cast( + n_samples, x.dtype + ) cov = ops.reshape( cov, @@ -833,16 +897,11 @@ def covariance(x, return cov -def correlation(x, - y=None, - keepdims=False): +def correlation(x, y=None, keepdims=False): x = x / ops.std(x, axis=0, keepdims=True) if y is not None: y = y / ops.std(y, axis=0, keepdims=True) - return covariance( - x=x, - y=y, - keepdims=keepdims) + return covariance(x=x, y=y, keepdims=keepdims) class StopGradient(keras.layers.Layer): @@ -851,19 +910,22 @@ def call(self, x): class UMAPModel(keras.Model): - def __init__(self, - umap_loss_a, - umap_loss_b, - negative_sample_rate, - encoder, - decoder, - optimizer=None, - parametric_reconstruction_loss_fn=None, - parametric_reconstruction=False, - parametric_reconstruction_loss_weight=1., - global_correlation_loss_weight=0., - autoencoder_loss=False, - name="umap_model"): + def __init__( + self, + umap_loss_a, + umap_loss_b, + negative_sample_rate, + encoder, + decoder, + optimizer=None, + parametric_reconstruction_loss_fn=None, + parametric_reconstruction=False, + parametric_reconstruction_loss_weight=1.0, + global_correlation_loss_weight=0.0, + autoencoder_loss=False, + learning_rate = 1e-3, + name="umap_model", + ): super().__init__(name=name) self.encoder = encoder @@ -877,20 +939,31 @@ def __init__(self, self.umap_loss_a = umap_loss_a self.umap_loss_b = umap_loss_b self.autoencoder_loss = autoencoder_loss - - optimizer = optimizer or keras.optimizers.Adam(1e-3, clipvalue=4.0) - self.compile(optimizer=optimizer) - self.flatten = keras.layers.Flatten() self.seed_generator = keras.random.SeedGenerator() + + optimizer = optimizer or keras.optimizers.Adam(learning_rate, clipvalue=4.0) + + # losses + self.umap_loss_metric = keras.metrics.Mean(name="umap_loss") + + if self.global_correlation_loss_weight > 0: + self.global_correlation_loss_metric = keras.metrics.Mean(name="global_correlation_loss") + + if self.parametric_reconstruction: + self.parametric_reconstruction_loss_metric = keras.metrics.Mean(name="reconstruction_loss") + if parametric_reconstruction_loss_fn is None: self.parametric_reconstruction_loss_fn = keras.losses.BinaryCrossentropy( from_logits=True ) else: - self.parametric_reconstruction_loss_fn = ( - parametric_reconstruction_loss_fn - ) + self.parametric_reconstruction_loss_fn = parametric_reconstruction_loss_fn + + # compile model + self.compile(optimizer=optimizer) + + def call(self, inputs): to_x, from_x = inputs @@ -910,28 +983,41 @@ def call(self, inputs): embedding_to_recon = self.decoder(ops.stop_gradient(embedding_to)) y_pred["reconstruction"] = embedding_to_recon return y_pred + + def build(self, input_shape): + # Build the encoder and decoder + self.encoder.build(input_shape) + if self.parametric_reconstruction: + self.decoder.build((input_shape[0], self.encoder.output_shape[1])) - def compute_loss( - self, x=None, y=None, y_pred=None, sample_weight=None, **kwargs - ): + super().build(input_shape) + + def compute_loss(self, x=None, y=None, y_pred=None, sample_weight=None, **kwargs): losses = [] # Regularization losses. for loss in self.losses: losses.append(ops.cast(loss, dtype=keras.backend.floatx())) # umap loss - losses.append(self._umap_loss(y_pred)) + umap_loss = self._umap_loss(y_pred) + losses.append(umap_loss) + self.umap_loss_metric.update_state(umap_loss) # global correlation loss if self.global_correlation_loss_weight > 0: - losses.append(self._global_correlation_loss(y, y_pred)) + global_correlation_loss = self._global_correlation_loss(y, y_pred) + losses.append(global_correlation_loss) + self.global_correlation_loss_metric.update_state(global_correlation_loss) # parametric reconstruction loss if self.parametric_reconstruction: - losses.append(self._parametric_reconstruction_loss(y, y_pred)) + reconstruction_loss = self._parametric_reconstruction_loss(y, y_pred) + losses.append(reconstruction_loss) + self.parametric_reconstruction_loss_metric.update_state(reconstruction_loss) return ops.sum(losses) + def _umap_loss(self, y_pred, repulsion_strength=1.0): # split out to/from embedding_to = y_pred["embedding_to"] @@ -942,14 +1028,17 @@ def _umap_loss(self, y_pred, repulsion_strength=1.0): repeat_neg = ops.repeat(embedding_from, self.negative_sample_rate, axis=0) repeat_neg_batch_dim = ops.shape(repeat_neg)[0] - shuffled_indices = keras.random.shuffle( - ops.arange(repeat_neg_batch_dim), seed=self.seed_generator) - if keras.config.backend() == "tensorflow": - embedding_neg_from = tf.gather( - repeat_neg, shuffled_indices + if keras.config.backend() in ("tensorflow", "jax"): + shuffled_indices = tf.random.shuffle( + ops.arange(repeat_neg_batch_dim), seed=self.seed_generator ) + shuffled_indices = ops.arange(repeat_neg_batch_dim) + embedding_neg_from = tf.gather(repeat_neg, shuffled_indices) else: + shuffled_indices = keras.random.shuffle( + ops.arange(repeat_neg_batch_dim), seed=self.seed_generator + ) embedding_neg_from = repeat_neg[shuffled_indices] # distances between samples (and negative samples) @@ -973,7 +1062,7 @@ def _umap_loss(self, y_pred, repulsion_strength=1.0): ops.ones((batch_size,)), ops.zeros((batch_size * self.negative_sample_rate,)), ], - axis=0 + axis=0, ) # compute cross entropy @@ -1009,13 +1098,12 @@ def z_score(x): # compute correlation corr_d = ops.squeeze( - correlation( - x=ops.expand_dims(dx, -1), y=ops.expand_dims(dz, -1) - ) + correlation(x=ops.expand_dims(dx, -1), y=ops.expand_dims(dz, -1)) ) return -corr_d * self.global_correlation_loss_weight def _parametric_reconstruction_loss(self, y, y_pred): loss = self.parametric_reconstruction_loss_fn( - y["reconstruction"], y_pred["reconstruction"]) + y["reconstruction"], y_pred["reconstruction"] + ) return loss * self.parametric_reconstruction_loss_weight