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Facial Emotion Recognition - WSL
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pretrain_CNN_classifier.ipynb
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Weakly-supervised_localizer.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Load FER data"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['ytest', 'imgsize', 'yval', 'ytrain', 'xtest', 'xtrain', 'xval', 'categories']\n",
"(25120, 2304) (25120, 7)\n"
]
}
],
"source": [
"fer = np.load(\"data/face_emotion.npz\")\n",
"print fer.files\n",
"print fer[\"xtrain\"].shape, fer[\"ytrain\"].shape"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(5382, 2304) (5382, 7)\n"
]
}
],
"source": [
"print fer[\"xtest\"].shape, fer[\"ytest\"].shape"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"xtrain = fer[\"xtrain\"]\n",
"ytrain = fer[\"ytrain\"]\n",
"xtest = fer[\"xtest\"]\n",
"ytest = fer[\"ytest\"]"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"train_mean = np.mean(xtrain, axis=0)\n",
"train_std = np.std(xtrain, axis=0)\n",
" \n",
"def whiten(x, train_mean=train_mean, train_std=train_std):\n",
" return (x - train_mean) / train_std"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Load pre-trained CNN"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Create the network\n",
"* from `.meta` file"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"INFO:tensorflow:Restoring parameters from fe_challenge/fe_cnn-NAG-whiten-200\n"
]
}
],
"source": [
"saver = tf.train.import_meta_graph(\"fe_challenge/fe_cnn-NAG-whiten-200.meta\")\n",
"\n",
"sess = tf.Session()\n",
"saver.restore(sess, \"fe_challenge/fe_cnn-NAG-whiten-200\")\n",
"graph = tf.get_default_graph()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
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" u'CONV4/BatchNorm/cond_1/AssignMovingAvg/decay',\n",
" u'CONV4/BatchNorm/cond/pred_id',\n",
" u'gradients/Switch_33',\n",
" u'gradients/zeros_33/Const',\n",
" u'gradients/Shape_34',\n",
" u'gradients/zeros_33',\n",
" u'gradients/Switch_31',\n",
" u'gradients/zeros_31/Const',\n",
" u'gradients/Shape_32',\n",
" u'gradients/zeros_31',\n",
" u'CONV4/BatchNorm/cond/FusedBatchNorm_1/Switch_4',\n",
" u'CONV4/BatchNorm/cond/FusedBatchNorm_1/Switch_3',\n",
" u'CONV4/BatchNorm/cond/FusedBatchNorm_1/Switch_2',\n",
" u'CONV4/BatchNorm/cond/FusedBatchNorm_1/Switch_1',\n",
" u'CONV4/BatchNorm/cond/FusedBatchNorm/Switch_2',\n",
" u'CONV4/BatchNorm/cond/FusedBatchNorm/Switch_1',\n",
" u'CONV4/BatchNorm/cond/Switch',\n",
" u'CONV4/BatchNorm/cond/switch_f',\n",
" u'CONV4/BatchNorm/cond/switch_t',\n",
" u'CONV4/BatchNorm/cond/Const_1',\n",
" u'CONV4/BatchNorm/cond/Const',\n",
" u'CONV3/BatchNorm/cond_1/pred_id',\n",
" u'CONV3/BatchNorm/cond_1/AssignMovingAvg_1/Switch',\n",
" u'CONV3/BatchNorm/cond_1/AssignMovingAvg_1/sub/Switch',\n",
" u'CONV3/BatchNorm/cond_1/AssignMovingAvg/Switch',\n",
" u'CONV3/BatchNorm/cond_1/AssignMovingAvg/sub/Switch',\n",
" u'CONV3/BatchNorm/cond_1/Switch',\n",
" u'CONV3/BatchNorm/cond_1/switch_f',\n",
" u'CONV3/BatchNorm/cond_1/switch_t',\n",
" u'CONV3/BatchNorm/cond_1/AssignMovingAvg_1/decay',\n",
" u'CONV3/BatchNorm/cond_1/AssignMovingAvg/decay',\n",
" u'CONV3/BatchNorm/cond/pred_id',\n",
" u'gradients/Switch_39',\n",
" u'gradients/zeros_39/Const',\n",
" u'gradients/Shape_40',\n",
" u'gradients/zeros_39',\n",
" u'gradients/Switch_37',\n",
" u'gradients/zeros_37/Const',\n",
" u'gradients/Shape_38',\n",
" u'gradients/zeros_37',\n",
" u'CONV3/BatchNorm/cond/FusedBatchNorm_1/Switch_4',\n",
" u'CONV3/BatchNorm/cond/FusedBatchNorm_1/Switch_3',\n",
" u'CONV3/BatchNorm/cond/FusedBatchNorm_1/Switch_2',\n",
" u'CONV3/BatchNorm/cond/FusedBatchNorm_1/Switch_1',\n",
" u'CONV3/BatchNorm/cond/FusedBatchNorm/Switch_2',\n",
" u'CONV3/BatchNorm/cond/FusedBatchNorm/Switch_1',\n",
" u'CONV3/BatchNorm/cond/Switch',\n",
" u'CONV3/BatchNorm/cond/switch_f',\n",
" u'CONV3/BatchNorm/cond/switch_t',\n",
" u'CONV3/BatchNorm/cond/Const_1',\n",
" u'CONV3/BatchNorm/cond/Const',\n",
" u'CONV2/BatchNorm/cond_1/pred_id',\n",
" u'CONV2/BatchNorm/cond_1/AssignMovingAvg_1/Switch',\n",
" u'CONV2/BatchNorm/cond_1/AssignMovingAvg_1/sub/Switch',\n",
" u'CONV2/BatchNorm/cond_1/AssignMovingAvg/Switch',\n",
" u'CONV2/BatchNorm/cond_1/AssignMovingAvg/sub/Switch',\n",
" u'CONV2/BatchNorm/cond_1/Switch',\n",
" u'CONV2/BatchNorm/cond_1/switch_f',\n",
" u'CONV2/BatchNorm/cond_1/switch_t',\n",
" u'CONV2/BatchNorm/cond_1/AssignMovingAvg_1/decay',\n",
" u'CONV2/BatchNorm/cond_1/AssignMovingAvg/decay',\n",
" u'CONV2/BatchNorm/cond/pred_id',\n",
" u'CONV2/BatchNorm/cond/FusedBatchNorm_1/Switch_4',\n",
" u'CONV2/BatchNorm/cond/FusedBatchNorm_1/Switch_3',\n",
" u'CONV2/BatchNorm/cond/FusedBatchNorm_1/Switch_2',\n",
" u'CONV2/BatchNorm/cond/FusedBatchNorm_1/Switch_1',\n",
" u'CONV2/BatchNorm/cond/FusedBatchNorm/Switch_2',\n",
" u'CONV2/BatchNorm/cond/FusedBatchNorm/Switch_1',\n",
" u'CONV2/BatchNorm/cond/Switch',\n",
" u'CONV2/BatchNorm/cond/switch_f',\n",
" u'CONV2/BatchNorm/cond/switch_t',\n",
" u'CONV2/BatchNorm/cond/Const_1',\n",
" u'CONV2/BatchNorm/cond/Const',\n",
" u'CONV1/BatchNorm/cond_1/pred_id',\n",
" u'CONV1/BatchNorm/cond_1/AssignMovingAvg_1/Switch',\n",
" u'CONV1/BatchNorm/cond_1/AssignMovingAvg_1/sub/Switch',\n",
" u'CONV1/BatchNorm/cond_1/AssignMovingAvg/Switch',\n",
" u'CONV1/BatchNorm/cond_1/AssignMovingAvg/sub/Switch',\n",
" u'CONV1/BatchNorm/cond_1/Switch',\n",
" u'CONV1/BatchNorm/cond_1/switch_f',\n",
" u'CONV1/BatchNorm/cond_1/switch_t',\n",
" u'CONV1/BatchNorm/cond_1/AssignMovingAvg_1/decay',\n",
" u'CONV1/BatchNorm/cond_1/AssignMovingAvg/decay',\n",
" u'CONV1/BatchNorm/cond/pred_id',\n",
" u'CONV1/BatchNorm/cond/FusedBatchNorm_1/Switch_4',\n",
" u'CONV1/BatchNorm/cond/FusedBatchNorm_1/Switch_3',\n",
" u'CONV1/BatchNorm/cond/FusedBatchNorm_1/Switch_2',\n",
" u'CONV1/BatchNorm/cond/FusedBatchNorm_1/Switch_1',\n",
" u'CONV1/BatchNorm/cond/FusedBatchNorm/Switch_2',\n",
" u'CONV1/BatchNorm/cond/FusedBatchNorm/Switch_1',\n",
" u'CONV1/BatchNorm/cond/Switch',\n",
" u'CONV1/BatchNorm/cond/switch_f',\n",
" u'CONV1/BatchNorm/cond/switch_t',\n",
" u'CONV1/BatchNorm/cond/Const_1',\n",
" u'CONV1/BatchNorm/cond/Const',\n",
" u'Placeholder_1',\n",
" u'ArgMax_1',\n",
" u'softmax_cross_entropy_loss/labels_stop_gradient',\n",
" u'softmax_cross_entropy_loss/xentropy/Shape_2',\n",
" u'softmax_cross_entropy_loss/xentropy/Slice_1',\n",
" u'softmax_cross_entropy_loss/xentropy/concat_1',\n",
" u'softmax_cross_entropy_loss/xentropy/Reshape_1',\n",
" u'Placeholder',\n",
" u'Reshape',\n",
" u'gradients/CONV3/Conv2D_grad/ShapeN',\n",
" u'CONV3/Conv2D',\n",
" u'gradients/Switch_38',\n",
" u'gradients/zeros_38/Const',\n",
" u'gradients/Shape_39',\n",
" u'gradients/zeros_38',\n",
" u'gradients/Switch_36',\n",
" u'gradients/zeros_36/Const',\n",
" u'gradients/Shape_37',\n",
" u'gradients/zeros_36',\n",
" u'CONV3/BatchNorm/cond/FusedBatchNorm_1/Switch',\n",
" u'CONV3/BatchNorm/cond/FusedBatchNorm_1',\n",
" u'gradients/zeros_like_44',\n",
" u'gradients/zeros_like_43',\n",
" u'gradients/zeros_like_42',\n",
" u'gradients/zeros_like_41',\n",
" u'CONV3/BatchNorm/cond/FusedBatchNorm/Switch',\n",
" u'CONV3/BatchNorm/cond/FusedBatchNorm',\n",
" u'gradients/zeros_like_48',\n",
" u'gradients/zeros_like_47',\n",
" u'gradients/zeros_like_46',\n",
" u'gradients/zeros_like_45',\n",
" u'CONV3/BatchNorm/cond/Merge_2',\n",
" u'CONV3/BatchNorm/cond_1/AssignMovingAvg_1/sub/Switch_1',\n",
" u'CONV3/BatchNorm/cond_1/AssignMovingAvg_1/sub',\n",
" u'CONV3/BatchNorm/cond_1/AssignMovingAvg_1/mul',\n",
" u'CONV3/BatchNorm/cond_1/AssignMovingAvg_1',\n",
" u'CONV3/BatchNorm/cond/Merge_1',\n",
" u'CONV3/BatchNorm/cond_1/AssignMovingAvg/sub/Switch_1',\n",
" u'CONV3/BatchNorm/cond_1/AssignMovingAvg/sub',\n",
" u'CONV3/BatchNorm/cond_1/AssignMovingAvg/mul',\n",
" u'CONV3/BatchNorm/cond_1/AssignMovingAvg',\n",
" u'CONV3/BatchNorm/cond/Merge',\n",
" u'gradients/Switch_35',\n",
" u'gradients/zeros_35/Const',\n",
" u'gradients/Shape_36',\n",
" u'gradients/zeros_35',\n",
" u'gradients/Switch_34',\n",
" u'gradients/zeros_34/Const',\n",
" u'gradients/Shape_35',\n",
" u'gradients/zeros_34',\n",
" u'CONV3/BatchNorm/cond_1/Switch_1',\n",
" u'CONV3/BatchNorm/cond_1/Identity/Switch',\n",
" u'CONV3/BatchNorm/cond_1/Identity',\n",
" u'CONV3/BatchNorm/cond_1/Merge',\n",
" u'gradients/CONV3/lrelu/Abs_grad/Sign',\n",
" u'gradients/CONV3/lrelu/mul_grad/Shape_1',\n",
" u'gradients/CONV3/lrelu/mul_grad/BroadcastGradientArgs',\n",
" u'CONV3/lrelu/Abs',\n",
" u'gradients/CONV3/lrelu/mul_1_grad/Shape_1',\n",
" u'gradients/CONV3/lrelu/mul_1_grad/BroadcastGradientArgs',\n",
" u'CONV3/lrelu/mul_1',\n",
" u'gradients/CONV3/lrelu/add_grad/Shape_1',\n",
" u'CONV3/lrelu/mul',\n",
" u'gradients/CONV3/lrelu/add_grad/Shape',\n",
" u'gradients/CONV3/lrelu/add_grad/BroadcastGradientArgs',\n",
" u'CONV3/lrelu/add',\n",
" u'gradients/CONV4/Conv2D_grad/ShapeN',\n",
" u'CONV4/Conv2D',\n",
" u'gradients/Switch_32',\n",
" u'gradients/zeros_32/Const',\n",
" u'gradients/Shape_33',\n",
" u'gradients/zeros_32',\n",
" u'gradients/Switch_30',\n",
" u'gradients/zeros_30/Const',\n",
" u'gradients/Shape_31',\n",
" u'gradients/zeros_30',\n",
" u'CONV4/BatchNorm/cond/FusedBatchNorm_1/Switch',\n",
" u'CONV4/BatchNorm/cond/FusedBatchNorm_1',\n",
" u'gradients/zeros_like_36',\n",
" u'gradients/zeros_like_35',\n",
" u'gradients/zeros_like_34',\n",
" u'gradients/zeros_like_33',\n",
" u'CONV4/BatchNorm/cond/FusedBatchNorm/Switch',\n",
" u'CONV4/BatchNorm/cond/FusedBatchNorm',\n",
" u'gradients/zeros_like_40',\n",
" u'gradients/zeros_like_39',\n",
" u'gradients/zeros_like_38',\n",
" u'gradients/zeros_like_37',\n",
" u'CONV4/BatchNorm/cond/Merge_2',\n",
" u'CONV4/BatchNorm/cond_1/AssignMovingAvg_1/sub/Switch_1',\n",
" u'CONV4/BatchNorm/cond_1/AssignMovingAvg_1/sub',\n",
" u'CONV4/BatchNorm/cond_1/AssignMovingAvg_1/mul',\n",
" u'CONV4/BatchNorm/cond_1/AssignMovingAvg_1',\n",
" u'CONV4/BatchNorm/cond/Merge_1',\n",
" u'CONV4/BatchNorm/cond_1/AssignMovingAvg/sub/Switch_1',\n",
" u'CONV4/BatchNorm/cond_1/AssignMovingAvg/sub',\n",
" u'CONV4/BatchNorm/cond_1/AssignMovingAvg/mul',\n",
" u'CONV4/BatchNorm/cond_1/AssignMovingAvg',\n",
" u'CONV4/BatchNorm/cond/Merge',\n",
" u'gradients/Switch_29',\n",
" u'gradients/zeros_29/Const',\n",
" u'gradients/Shape_30',\n",
" u'gradients/zeros_29',\n",
" u'gradients/Switch_28',\n",
" u'gradients/zeros_28/Const',\n",
" u'gradients/Shape_29',\n",
" u'gradients/zeros_28',\n",
" u'CONV4/BatchNorm/cond_1/Switch_1',\n",
" u'CONV4/BatchNorm/cond_1/Identity/Switch',\n",
" u'CONV4/BatchNorm/cond_1/Identity',\n",
" u'CONV4/BatchNorm/cond_1/Merge',\n",
" u'gradients/CONV4/lrelu/Abs_grad/Sign',\n",
" u'gradients/CONV4/lrelu/mul_grad/Shape_1',\n",
" u'gradients/CONV4/lrelu/mul_grad/BroadcastGradientArgs',\n",
" u'CONV4/lrelu/Abs',\n",
" u'gradients/CONV4/lrelu/mul_1_grad/Shape_1',\n",
" u'gradients/CONV4/lrelu/mul_1_grad/BroadcastGradientArgs',\n",
" u'CONV4/lrelu/mul_1',\n",
" u'gradients/CONV4/lrelu/add_grad/Shape_1',\n",
" u'CONV4/lrelu/mul',\n",
" u'gradients/CONV4/lrelu/add_grad/Shape',\n",
" u'gradients/CONV4/lrelu/add_grad/BroadcastGradientArgs',\n",
" u'CONV4/lrelu/add',\n",
" u'POOL2/MaxPool',\n",
" u'gradients/CONV5/Conv2D_grad/ShapeN',\n",
" u'CONV5/Conv2D',\n",
" u'gradients/Switch_26',\n",
" u'gradients/zeros_26/Const',\n",
" u'gradients/Shape_27',\n",
" u'gradients/zeros_26',\n",
" u'gradients/Switch_24',\n",
" u'gradients/zeros_24/Const',\n",
" u'gradients/Shape_25',\n",
" u'gradients/zeros_24',\n",
" u'CONV5/BatchNorm/cond/FusedBatchNorm_1/Switch',\n",
" u'CONV5/BatchNorm/cond/FusedBatchNorm_1',\n",
" u'gradients/zeros_like_28',\n",
" u'gradients/zeros_like_27',\n",
" u'gradients/zeros_like_26',\n",
" u'gradients/zeros_like_25',\n",
" u'CONV5/BatchNorm/cond/FusedBatchNorm/Switch',\n",
" u'CONV5/BatchNorm/cond/FusedBatchNorm',\n",
" u'gradients/zeros_like_32',\n",
" u'gradients/zeros_like_31',\n",
" u'gradients/zeros_like_30',\n",
" u'gradients/zeros_like_29',\n",
" u'CONV5/BatchNorm/cond/Merge_2',\n",
" u'CONV5/BatchNorm/cond_1/AssignMovingAvg_1/sub/Switch_1',\n",
" u'CONV5/BatchNorm/cond_1/AssignMovingAvg_1/sub',\n",
" u'CONV5/BatchNorm/cond_1/AssignMovingAvg_1/mul',\n",
" u'CONV5/BatchNorm/cond_1/AssignMovingAvg_1',\n",
" u'CONV5/BatchNorm/cond/Merge_1',\n",
" u'CONV5/BatchNorm/cond_1/AssignMovingAvg/sub/Switch_1',\n",
" u'CONV5/BatchNorm/cond_1/AssignMovingAvg/sub',\n",
" u'CONV5/BatchNorm/cond_1/AssignMovingAvg/mul',\n",
" u'CONV5/BatchNorm/cond_1/AssignMovingAvg',\n",
" u'CONV5/BatchNorm/cond/Merge',\n",
" u'gradients/Switch_23',\n",
" u'gradients/zeros_23/Const',\n",
" u'gradients/Shape_24',\n",
" u'gradients/zeros_23',\n",
" u'gradients/Switch_22',\n",
" u'gradients/zeros_22/Const',\n",
" u'gradients/Shape_23',\n",
" u'gradients/zeros_22',\n",
" u'CONV5/BatchNorm/cond_1/Switch_1',\n",
" u'CONV5/BatchNorm/cond_1/Identity/Switch',\n",
" u'CONV5/BatchNorm/cond_1/Identity',\n",
" u'CONV5/BatchNorm/cond_1/Merge',\n",
" u'gradients/CONV5/lrelu/Abs_grad/Sign',\n",
" u'gradients/CONV5/lrelu/mul_grad/Shape_1',\n",
" u'gradients/CONV5/lrelu/mul_grad/BroadcastGradientArgs',\n",
" u'CONV5/lrelu/Abs',\n",
" u'gradients/CONV5/lrelu/mul_1_grad/Shape_1',\n",
" u'gradients/CONV5/lrelu/mul_1_grad/BroadcastGradientArgs',\n",
" u'CONV5/lrelu/mul_1',\n",
" u'gradients/CONV5/lrelu/add_grad/Shape_1',\n",
" u'CONV5/lrelu/mul',\n",
" u'gradients/CONV5/lrelu/add_grad/Shape',\n",
" u'gradients/CONV5/lrelu/add_grad/BroadcastGradientArgs',\n",
" u'CONV5/lrelu/add',\n",
" u'gradients/CONV6/Conv2D_grad/ShapeN',\n",
" u'CONV6/Conv2D',\n",
" u'gradients/Switch_20',\n",
" u'gradients/zeros_20/Const',\n",
" u'gradients/Shape_21',\n",
" u'gradients/zeros_20',\n",
" ...]"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"[n.name for n in tf.get_default_graph().as_graph_def().node]"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"X = graph.get_tensor_by_name(\"Placeholder:0\")\n",
"y = graph.get_tensor_by_name(\"Placeholder_1:0\")\n",
"is_training = graph.get_tensor_by_name(\"Placeholder_2:0\")"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"PERFORMANCE OF PRE-TRAINED NET IS: 0.623046875\n"
]
}
],
"source": [
"ss = graph.get_tensor_by_name(\"LOGIT/Softmax:0\")\n",
"oo = sess.run(ss, feed_dict={X: whiten(xtest[:512]), y: ytest[:512], is_training: False})\n",
"performance = np.equal(np.argmax(oo, 1), np.argmax(ytest[:512], 1)).sum() / 512.\n",
"\n",
"print \"PERFORMANCE OF PRE-TRAINED NET IS:\", performance"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Get the last CONV layer"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"conv6 = graph.get_tensor_by_name(\"CONV6/lrelu/add:0\")\n",
"conv6 = tf.stop_gradient(conv6)\n",
"conv6_shape = conv6.get_shape().as_list()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[None, 24, 24, 128]"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"conv6_shape"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Add Global Average Pooling + FC layer\n",
"* [Learning Deep Features for Discriminative Localization](https://arxiv.org/abs/1512.04150)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"def lrelu(x, leak=.2, scope=\"lrelu\"):\n",
" with tf.variable_scope(scope):\n",
" f1 = (1-leak) / 2.\n",
" f2 = (1+leak) / 2.\n",
" return f1*x + f2*tf.abs(x)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"def add_gap(is_training):\n",
" batchnorm_params = {\"is_training\": is_training, \"decay\": 0.9, \"updates_collections\": None}\n",
"\n",
" conv_last = slim.conv2d(conv6, 1024, [3,3], padding=\"SAME\",\n",
" normalizer_fn=slim.batch_norm,\n",
" normalizer_params=batchnorm_params,\n",
" activation_fn=lrelu,\n",
" weights_initializer=tf.truncated_normal_initializer(stddev=.05),\n",
" scope=\"CONV_LAST\")\n",
" gap = slim.avg_pool2d(conv_last, conv6_shape[1:3], scope=\"GAP\")\n",
" gap_flat = slim.flatten(gap, scope=\"GAP_FLAT\")\n",
" logit = slim.fully_connected(gap_flat, 7, \n",
" activation_fn=tf.nn.softmax,\n",
" scope=\"WSL_LOGIT\")\n",
" return conv_last, gap, logit"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"conv_last, gap, logit = add_gap(is_training)\n",
"pred = tf.argmax(logit, 1)\n",
"truth = tf.argmax(y, 1)\n",
"acc = tf.reduce_mean(tf.cast(tf.equal(truth, pred), tf.float32))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"---\n",
"## Data preprocessing & augmentation"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"from scipy import ndimage"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"def augment_data(images):\n",
" images_r = images.reshape(-1, 48, 48)\n",
" images_aug = []\n",
" for img in images_r:\n",
" # FLIP\n",
" if np.random.randint(0, 2) == 1:\n",
" img_flipped = np.fliplr(img)\n",
" else:\n",
" img_flipped = img\n",
" # ROTATE\n",
" angle = np.random.randint(-10, 10)\n",
" img_rotated = ndimage.rotate(img_flipped, angle, reshape=False)\n",
" # scaled\n",
" scale = np.random.uniform(1., 1.1)\n",
" img_scaled = ndimage.zoom(img_rotated, scale)\n",
" center = img_scaled.shape[0] // 2\n",
" st = (center-24); en = (center+24)\n",
" img_scaled = img_scaled[st:en, st:en]\n",
" # SHIFT\n",
" shift = np.random.randint(-2, 2)\n",
" img_shifted = ndimage.shift(img_scaled, shift)\n",
" # add to the list\n",
" img_flattend = img_shifted.flatten()\n",
" images_aug.append(img_flattend)\n",
" images_aug = np.array(images_aug)\n",
" return images_aug"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"---\n",
"## Train CNN-GAP"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([ 5.74696866, 7.0324748 , 3.99173685, 5.90225564, 8.93950178,\n",
" 7.31082654, 65.7591623 ])"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"class_counts = np.unique(np.argmax(fer[\"ytrain\"], axis=1), return_counts=True)[1]\n",
"class_weights = (class_counts.sum() / class_counts.astype(float))\n",
"class_weights"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"weights = tf.placeholder(tf.float32, [None])\n",
"loss = tf.losses.softmax_cross_entropy(y, logit, weights=weights, scope=\"LOSS_WSL\")\n",
"#graph.get_tensor_by_name(\"softmax_cross_entropy_loss/value:0\")"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"learning_rate = .005\n",
"global_step = tf.Variable(0, trainable=False)\n",
"decay_steps = 50.\n",
"decay_rate = .93\n",
"learning_rate = tf.train.inverse_time_decay(learning_rate, global_step, \n",
" decay_steps, decay_rate, staircase=True)\n",
"\n",
"#optimizer = tf.train.MomentumOptimizer(learning_rate=learning_rate, momentum=.9, use_nesterov=True).minimize(loss)\n",
"optimizer = tf.train.AdamOptimizer(learning_rate=learning_rate, epsilon=.0001, name=\"Adam_wsl\").minimize(loss, global_step=global_step)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"INITIALIZED\n"
]
}
],
"source": [
"uninitialized = [v for v in tf.global_variables() if v.name.split(':')[0] in sess.run(tf.report_uninitialized_variables())]\n",
"sess.run(tf.variables_initializer(uninitialized))\n",
"print \"VARIABLES INITIALIZED\""
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ylabels = np.argmax(ytrain, 1)\n",
"plt.bar(range(7), np.unique(ylabels, return_counts=True)[1])\n",
"plt.xticks(range(7), [i.split(\"_\")[-1] for i in fer[\"categories\"]]);"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"saver = tf.train.Saver(max_to_keep=10)"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"205th: loss 12.05923, train_acc 0.530, test_acc 0.518\n",
"210th: loss 12.05393, train_acc 0.534, test_acc 0.521\n",
"215th: loss 12.05033, train_acc 0.534, test_acc 0.521\n",
"220th: loss 12.04805, train_acc 0.536, test_acc 0.523\n",
"225th: loss 12.04639, train_acc 0.533, test_acc 0.521\n",
"230th: loss 12.04842, train_acc 0.536, test_acc 0.520\n",
"235th: loss 12.04325, train_acc 0.537, test_acc 0.516\n",
"240th: loss 12.04510, train_acc 0.535, test_acc 0.518\n",
"245th: loss 12.04531, train_acc 0.535, test_acc 0.520\n",
"250th: loss 12.05065, train_acc 0.535, test_acc 0.523\n",
"255th: loss 12.04703, train_acc 0.536, test_acc 0.521\n",
"260th: loss 12.04881, train_acc 0.532, test_acc 0.520\n",
"265th: loss 12.04207, train_acc 0.536, test_acc 0.516\n",
"270th: loss 12.03846, train_acc 0.536, test_acc 0.516\n",
"275th: loss 12.02645, train_acc 0.539, test_acc 0.525\n",
"280th: loss 12.02972, train_acc 0.540, test_acc 0.523\n",
"285th: loss 12.03574, train_acc 0.537, test_acc 0.523\n",
"290th: loss 12.03511, train_acc 0.539, test_acc 0.523\n",
"295th: loss 12.03618, train_acc 0.535, test_acc 0.523\n",
"300th: loss 12.03244, train_acc 0.537, test_acc 0.521\n",
"305th: loss 12.03350, train_acc 0.537, test_acc 0.523\n",
"310th: loss 12.02948, train_acc 0.539, test_acc 0.520\n",
"315th: loss 12.03728, train_acc 0.536, test_acc 0.521\n",
"320th: loss 12.02750, train_acc 0.539, test_acc 0.521\n",
"325th: loss 12.03099, train_acc 0.537, test_acc 0.529\n",
"330th: loss 12.03196, train_acc 0.538, test_acc 0.523\n",
"335th: loss 12.02832, train_acc 0.537, test_acc 0.527\n",
"340th: loss 12.03112, train_acc 0.539, test_acc 0.529\n",
"345th: loss 12.02682, train_acc 0.538, test_acc 0.525\n",
"350th: loss 12.02889, train_acc 0.539, test_acc 0.527\n",
"355th: loss 12.03508, train_acc 0.537, test_acc 0.525\n",
"360th: loss 12.02948, train_acc 0.540, test_acc 0.525\n",
"365th: loss 12.02996, train_acc 0.538, test_acc 0.523\n",
"370th: loss 12.01945, train_acc 0.540, test_acc 0.523\n",
"375th: loss 12.02630, train_acc 0.537, test_acc 0.523\n",
"380th: loss 12.01695, train_acc 0.541, test_acc 0.520\n",
"385th: loss 12.02300, train_acc 0.539, test_acc 0.521\n",
"390th: loss 12.02415, train_acc 0.538, test_acc 0.523\n",
"395th: loss 12.01636, train_acc 0.540, test_acc 0.523\n",
"400th: loss 12.01147, train_acc 0.540, test_acc 0.527\n",
"DONE\n"
]
}
],
"source": [
"st = 200\n",
"n_epochs = 200\n",
"batch_size = 256\n",
"display_step = 5\n",
"save_step = 5\n",
"\n",
"n_batches = int(xtrain.shape[0] / batch_size)\n",
"if st == 0:\n",
" losses, train_accs, test_accs = [], [], []\n",
"\n",
"ylabels = np.argmax(ytrain, 1)\n",
"yweights = class_weights[ylabels]\n",
"ytestweights = class_weights[np.argmax(ytest[:512], 1)]\n",
"\n",
"for epoch in range(st, st+n_epochs):\n",
" avg_loss, avg_train_acc = 0., 0.\n",
" for i in range(n_batches):\n",
" batch_xs = xtrain[(i * batch_size):((i+1) * batch_size)]\n",
" batch_ys = ytrain[(i * batch_size):((i+1) * batch_size)]\n",
" batch_weights = yweights[(i * batch_size):((i+1) * batch_size)]\n",
" batch_xs = whiten(augment_data(batch_xs))\n",
"\n",
" if (epoch+1) % display_step != 0:\n",
" sess.run(optimizer, feed_dict={X: batch_xs, y: batch_ys, \n",
" is_training: True,\n",
" weights: batch_weights})\n",
" else:\n",
" _, curr_loss, curr_train_acc = sess.run([optimizer, loss, acc], feed_dict={X: batch_xs, y: batch_ys, \n",
" is_training: True,\n",
" weights: batch_weights})\n",
" avg_loss += curr_loss / n_batches\n",
" avg_train_acc += curr_train_acc / n_batches\n",
" \n",
" if (epoch+1) % display_step == 0:\n",
" test_acc = sess.run(acc, feed_dict={X: whiten(xtest[:512]), y: ytest[:512], \n",
" is_training: False,\n",
" weights: ytestweights})\n",
" losses.append(avg_loss)\n",
" train_accs.append(avg_train_acc)\n",
" test_accs.append(test_acc)\n",
"\n",
" if (epoch+1) % display_step == 0:\n",
" print \"{:03d}th: loss {:0.5f}, train_acc {:0.3f}, test_acc {:0.3f}\".format(epoch+1, avg_loss, avg_train_acc, test_acc)\n",
"\n",
" if (epoch+1) % save_step == 0:\n",
" saver.save(sess, \"fe_challenge/fe_cnn-localizer\", global_step=epoch+1)\n",
"\n",
"print \"DONE\""
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7fac145b0690>"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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DvHnxUuM9FsVs6DHzd6xK2XJu30G2/TGb4GeBuEweT4tBfXkZ8JDTu/aluO/8NtaEBb8h5HXQR+8rW8+eVkP7U6hMKQIuX8Nz4u8a95alhvcad6q3bs5X3btStUUTosIjWDl8LNGRkclu4/m9B9w8cZrGfXqib5iLPfMWp8vYRPrIkQGdOsulJEURQgghhPiitRjUl4au3SlRvQqrfvhJ4z2dfxmLqUV+lg0axeX/jqjrN06cSj6rgjj/9jOvHj9NdrZIHV1dmg5wo2Hvb7nuf4Il/YdrvM/ASHWwdqk6NVR70EaN59zef9MtmAMIuHyNW6fO0GyAGzFR0fzdZ3CCQ8qT69jm7ZSsWY03L15y/sDhdBufSLscGdBFSEAnhBBCCPHFK21fk4au3Xn56DGVmjSgWJVK3D2bcLlfhfqO2NaoyubJ0xMEc6DaP7Zy+I8MWbuEXnP+YOPEqcTGxqKnr4+Ovj7RkZHcO3eR10+eqp+xKm1L1ykTKFy2NM/vB1Davia5zc00zg5Wa92MUnVqsH36HHzXbyImOjpDPodDy9ZiW70q26fP4faps6lq4/z+w7Qc+oSjm7YTExWVziMUaZEjA7rIsHBiY2NlD50QQgghxBfKxCwfXX//hSc3b7Ow1wBGbF5DmxGDmPddX/U92jo6tBo+kGd37nF083aN7YQFv2HJgB8YsnYJPWdP03jPy0ePuXP6HG9evMSxayfC3rxl+eBRBN57wJgd7lRp3hifdZ6JnqvZrhWPrt/Ee7V7+rx0Eq74+DHBqQUhr16nuo3oyEh+b9Ep07N+ik/LkQEdqDJdSkAnhBBCCPHl0dLSwmXKeAxNTPhf36GEvA5iz/wlOP/2E5WaNFBnhaz1dRsKlijGiqFjEqTq/9DLgEdMb/8N+YsWIToikqiICKKjojDMbULxqpUpUb0KperUxDS/Oef2HWTz5Onq4OnhletUbdk0UUBXoHhRilaqwPbpczLug3hPWoK5eBLMfZ5ybEAXERIqSy6FEEIIIXI40wIWmBWy4vn9B7x9+QoAp+9cKOdoz6ZJf/Lkxi0ATmzfhdN3zrQaNoBLh3zQ1den2QA3bp86m6yMkiGvgzQmN3l45TpH1m8EwNDUlLDg4ATXT+/eR5sRgzAvYs2LBwHq+prtWhITHc3pXXtT/e5CQE4O6EJDJculEEIIIUQWqdetC/pGhvy7ZFWG9tNr9jRsKpYHVMsjA+89oFDZUpw/cBj/985KU2Jj2TlzPn0WzcK+SweM8+bBNL85K4aMTrexfBjMAZz5Zx+thg+gWqum7P97ORB/REELrh45ytsXr9Ktf/FlyrEBXXhIiMzQCSGEEEJkgeJVK9F29FBioqI4sn6j+ozg9Jbb3AybiuU5tsWLR9duYFHMhgLFbLhz+hyev0xNdP/VI0e5fvQETfu7oquvz9k9B7h/4XKGjC1e0NNAbp86S7WW7wK60nVqkqegBdv+mJWhfYsvQ44N6GQPnRBCCCFE5tM3NMRlynjC377FyNSUCvUdk32GW25zM6KjojXOdGlSpm4dAHw3bOLh1evJembnjPkM81hBbEwMu+YsStYzaXV61166TPwR6/JlCLh8jZrtWhIaFMylw0c+/bAQn6Cd1QPIKBEhoRLQCSGEEEJksjYjB2NWuBArhozh9dNnVG7aMMl79Q0NKVfPgXajhzFq6zomHt7FL//uoO2oIZiY5/tkX2Ud6xAc+DzZwRzAw6vX2TVzAVt/n8HLgEfJfi4tzu8/THRUFFVbNiVXbhPsGn7F6d37JP2/SBc5doYuIlSSogghhBBCZKayjnVw6NKBQ8vXcvvUWc7vP4R95/YYGBslWnZpnDcPI7euwzS/OVHhEdw+fZaTO3ZToEQx6nXrgn3nDvhu2MShles0ZmjU1tGhjENtLh76dEKTDx1etT7V75gaYcHBXPXxo2rzJjy/F4BeLgNObt+dqWMQOVcODujCJKATQgghhMgkhqamdPn1Jx7fuMWeBUsAOLf3IE7fOlP+K0fO7E647NLxm86qpCRDx3L1iD/RkZHqa/8uXU2Tfr34qkdXan3dhuntv0l0MLeNXXmM8phy9cjRjH+5dHB6937sGn5Fi8F9eXLzNg8uXcnqIYkcIkcvudQ3lCyXQgghhBCZ4eufR2CSLx8bfvpNHZzdO3dB47JLfUND6nbtxMVD3lw8+F+CYA7g+b0HbPjpN+Z844ahaW7su3RI1F8ZxzrExsRw3f94xr1UOrp0+AjhISEY58vLyR0yOyfSTw4O6EIwMDJESzvHvqIQQgghxGehQPGiVGvZlH+XrU6wn01RFM7vP0RZxzoJchvU7tgW47x5OLhszUfbDbh8lSvefjg4f42uvn6Ca2Ud63Dv3EXCgt+k78tkkOiICC4cOExsTAyndsrZcyL95NhoJyI0DEDOohNCCCGEyGC12rcmJioa3w2bEl07v+8gegYGlK/vCIC2rg5fdXfh1qkz3Dt38ZNt+6zzJLe5GVVbNFbXmZjlw8auPFeO+KffS2SCnTMXsMh1EMGBz7N6KCIHycEBnWrjrb5kuhRCCCGEyDDaujpUb9uCy96+vH2Z+JDsu2cvEPQ0UL3ssmqLpuSzsuTQsrXJav/G0RM8vnGLet2c1XVlHGoDcM03e+yfi/f25Stunzqb1cMQOUzODejiMinlksQoQgghhBAZppyjPab5zTm+dafG64qicP5A3LJLYyMa9OrG4xu3uOLjl+w+fNZ6ULhcaUrUqApA2Xr2vHnxkodXkn9cgRA5Vc4N6NRLLiWgE0IIIYTIKLU6tCY48DlXP7L88VzcsstO40djVcqWg8s/vnfuQ6d27SPk1WucvnVGS1ubMg61uXrkKIqipHX4QmR7OTegCwkBQF/20AkhhBBCZAgT83yUq1eXU157iI2JSfK+u2fOE/QskGqtmvHy4WPO7jmQon6iIyLw37iNCg3qUaVZI4zz5vloACnElyTnBnShsuRSCCGEEDmbUR5T8hWyzLL+q7dqjo6eLse3aV5uGU9RFC4cOAzAf6vXExuddPCXFF+PLSgxsXQcN4rYmBiu+WWP4wqEyGg5+mBxQA4XF0IIIUSOY5THlPo9u+H4TSe0tLRZNmgkN4+fypC+dHR1KefkQFR4BNf8jiW4VqtDa+6evcCzO/c+2Y7POk909fU5tsUrVeMIfhbIuf0HqdayKXfPXiAsODhV7QiR0+TcGboQyXIphBBCiJzF0NSU5oP78vPeLTTo/S2XDx/hRcBDXOf/pU4Ykl4KlihGm5GDGX9gO73m/EHf/82m4/jR6vPgbCqWx7JkiU/OzsV7fj+Ajb9OIyo8ItVj8l7jAZCihCoi82hpaVGrVukUPaOrq4O9fdkMGtGXIefO0MVnuZSATgghhBA5gLaODsM2LCO/jTVn9/7LvkXLeHrrDibm+ei/bAFuC2awpP9w7pw+p35GS1sb63JleP7g4UdntAxNTSlU2har0iWxKmWLdfmyWJcvQ3RUFJcO+XB8205KVKtCI7fuWJcvw+offqZm+9ZEhoWneD9cWjy4eJm/3QZz7/ylTOtTJF+HDvZs2vwjNWsM59Spm8l6ZsYMVwYPaUOd2iM4flyylqZGjg3oIsNkyaUQQgghco5StWuQ38aadWN/4fSufer6ty9e8bfrIAasWEifRTNZNnAkOnq6VGzcgIqNviK3uRmhQcHsnvs3RzdtR4mNVT9rbl2Y5oP7UqV5Y7S1VQu33r58xePrt9gxfS6ndu5Rny131cefe+cv0nXKBIZ7rkRHT5fz+w+pf4meWW4cO5mp/Ynkq1bNFoCvvrJLVkDXsGElBg9pA0DXrk4S0KVSjg3oFEUhIjRUslwKIYQQIkeo1roZocHBnNt3KNG1Ny9essh1EAOWL2DAioWAKkHc5f98ueZ7lOptWtBp/GjqdGzHlt//4kXAQ5r06419p/bEREfz38r1XD96gsfXb/Lmxcskx3DpkA+znHvRc9bvFCpTimNbU7cfTuRMFexsALB3KAczt330XlNTI5avGMbVqwHcufOUzl0cGTFiObHv/cJBJE+ODehAtexSZuiEEEIIkd3pGxpSsVF9Tu/aS0xUlMZ7ggOfs9B1EE7fOnPnzDmu+R0nOkK1X+3E9t1UbtaItqOGMGTtEiLDwtHR0+XYFi/2/72c4MDnyR7LiwcBzP22D4XKlOLeuYvp8n4iZ6hQQRXQ1a1b7pP3zp7Tl0KFzKjrMIpixQri4TmGevXK899/8m8qpXJ2QBcaJnvohBBCCJHt2TVywsDIkFNe/3z0vuBngeycOV/jtXN7/+WKtx8Nen+LaX5zDq1cx/N7D1I1nqjwCAnmRAJGRgaUKGHJgweBFCliQfHiBblz56nGe9u2rU3Pno2YPMmdEyducOnSfUJCwnF2ricBXSrk2CyXED9DZ5zVwxBCCCGESJMarZvzIuARd89eSFM7kWFh7F2whI2/Tkt1MCeEJuXKFUFbW5vly/YDULdueY33WVjkYfGSQZw+fYtJk1RZS0NDI9ix4xgdO9VFV1cn08acEYyNc2FkZJCpfebsgE720AkhhBAim9DR0yO3uVmi+tz5zSlVpyand+1FUZQsGJkQn2ZnVxQADw8fgoJCcHDQfBTB1KndyZPHmB7dZxIVFa2u93D3wcIiDw0bVkr0zLr1I9m3fxI6Op9/6OLq2oSnz9ZSoEDeTOvz8/9U0iAiVPbQCSGEECJ76DhuFD/9sxnr8mUS1Fdt2QRtHR1O79qbRSMT4tPs7IoSHh7J9euPOHr0mioxygcMDQ3o3MWRtWsOcenS/QTX9uw5xevXb3F2rpeg3s2tKV27fkXjxlX48cfOGfoO6cHZxYnr1x/y7NnrTOszZwd0IaGyh04IIYQQn71cuU2o1rIp+oa56D13OqYFLNTXqrdqzv2Ll3l2514WjlCIj6tgZ8Plyw+IjY3F3+8KFSsWxdQ04c/hLVtWJ3duIzZs+C/R85GR0WzbdowOX9ujr69K81G8eEFmznLjwIGzbNjwH+MnuFC1qm2mvE9qFCtWEHv7sni4+2Rqvzk+oJMll0IIIYT43FVr2RS9XAa4j5uEgYkRvef+gV4uAwraFse6fBlOee3J6iEK8VEVKthw8aLqlw6+vlfQ1tamdu2Es81dnOvx5MkrDh/WnPjEw92bvHlNaNasGtra2qxYOYyYmFh695rDoIF/8+xZEKvX/ICBgV6Gv09qdOniCKiWnWamnB3QhYXJkkshhBBCfPZqf92Wh1euc2L7btaNmUjhcmXoOmUCNdq2ICY6mrN7DmT1EIVIUp48xhQpYsGluIDu2LHrxMTEJDi+wMTEkNata7J5k2+SZ839++85nj8PxtnFieHD2+HkZMeQwf8jIOA5r169xc11LhUq2DBp0reZ8l4p1cW5HkePXuXevWeZ2m/ODuhCQsllbIyWllZWD0UIIYQQOVjT73tTpXnjJK+bFrDA+befyVfIMtG1wuVKY12+DMe27ADg8n9H2DljPpWbNuSr7l255neMty9fZdjYhUir+PPn4vfFvX0bxvnzd7F/LzFK27a1MDQ0wP0jyxGjo2PYstmP9u3rMHnKd2zd6s+aNYfU1/fuPc3fi3bzw4j2ODpqzqKZVUqXLky1araZvtwScvo5dCGhAOjlykVkWFgWj0YIIYQQOVFZxzo0G9iH6MhInt25x6NrNxJc19LWptvUXyhZqzpmha34221wgmyVtb9uS1R4BKd371PX/bd6AwVLFKN2x7ay3PIL5+RkR8uW1fnxx9WfbZbT+AyX8UsuAfz9rvJd9wbo6GgTExOLs4sTDx4E4ud35aNtubt707dfc549e833/RYkuj5q1AqaNK2K58axnDlzW10fGRnF5EkenDp1M53eKmWcnesRGxvLxo1HMr3vnD1DF6oK6GTZpRBCCCEygo6eHu3HDCfw3gNCXgfR7Y9f0cuV8AyqBr26UbJWdS4e8qZkrerU6dxefU0vlwHVWjXj3P6DhAW/SfDcpsl/ssh1kCy3/ML16t2Y0WM6MXBgq6weSpLs7Gx48yaU+/cD1XW+vlfIndsIO7ui5M1rTLNmVfH0OPLJoNTb+xJr1hzi224zCAwMSnQ9JCQcF+c/uXo1ADMzE3WpW7dZnOLFAAAgAElEQVQ8nhvHYmKSNfkznF3q4e19iUePXmZ63xLQCSGEEEKkktN3zlgUs2Hr1Jm4j5uEpW1x2owYrL5epEI5mg/sy7l9B1kxZAzX/I7R+oeB5LNSLb2s1KQhhrlNOLbFK1HbsdEx3Dx+KtPeRXyebG2tAJj2R09Kly6cxaPRrIJdUS5eTHgMQfxMXN265ejQwR59fb1kJQuJjY2lR/eZHDhwNsl7Tp26ScMGP2FfZ6S6tGs7CRub/Myc6Zq2l0kFO7uilC9vg2cmJ0OJl7MDurgllwaS6VIIIYQQqVS8aiU6/TIGE7N8CepNC1jQpF8vLh7y5prvUa77n+DwyvXUdelIhfqO6Bsa0m3aRN68eMHGX6cBsHGi6n87TxwLQO2ObQi894DbJ89k7kuJbMPW1pLdu08SFhbBqtXDP8vDtStUsFEnRIl3794zHj58gb1DOZxdnLh16zEnT95IooW08/e/yvQ/t+DWpxktW9bIsH40cXFxIjo6hs2b/TK133if37+IdKQO6IyNs3gkQgghhMiu6vf8BvtO7RnuuZKile3U9a2HD0BbR4ftf85R1+2e+zcPr1yny68/4TJ5HOY21qz78Vf1cspXj5+wa9ZCyjjUptXwAdhWr6pOhiLEh4yMDLCyMsP3yGUGDlhE7dplGDOmU1YPKwELizwUKJA3wf65eH5+V2jSpAoNG1bKlGQhEyeu59y5OyxdNgRzc9MM7y+es0s9/v33nMYlopkhZwd0oapEKAZyuLgQQgghUkFbV4eStWpwzfco0ZGRDFyxCMdvOlG8aiWqt27O4ZXreRnwSH1/TFQUa8dMQN/QkMpNG3Jw2ZpEs2/+nlu5eeI0DXt/R0x0NCe3787s1xLZRIkSqqW5t249xtPzCBs2/McvE7tSpUqJLB7ZO5oSosTz871CgQJ50dXVyZSz2SIjo+nRfSZmZiYsWNg/w/sDqFGjFLa2Vlm23BJyfJbLEECWXAohhBAidYpVrkguE2P8PLdx6+Rpuk6ZQIcfRxARGsqrx0/4d+mqRM88u3OPDeMmUc7Rnr0LlyS6rigKnr9MZeTmNVz1PcqbF5mfROFL06hRZfz9rxIaGpGh/bRpU4v9+88SHh6ZLu3F75+7desJAIMG/s1XX9mxZu0I5s9LvO/yY169esvmzX7ExGg+A87GxgJLy3wcP349Re3GB3TxRxa8L34f3eXL97lw4W6K2k2t8+fvMvGX9fw+tQd3bj/h7t2nSd4bHa3KShkcHJrs9lu3rknhwubqvzdvUZ3IyCi2bvVP07jTImcHdJIURQghhBBpUMahNjHR0dw8fpLwtyGsGDKahq7dafJ9L7ZNm01UuOYA4fy+g5zfdzDJdl88CGCWc085Xy4T9OzZiOUrhuHh4UNXlz8zrJ/Gjauwfcd4Fv9vD99/nzjdfmrY2r6boQNVUObaey7bto9j0d8DU9zepN/c+eWXdYnqDQ0N2LvvNwoVMsOyYHfCwpIf+NrZ2fD8eTBPn75OdO3Mmds8evSCpUv2aXgy40yfvoXGTaowZuynl6cWLWrBhAmJPxNNevduwtJlQxLVe3j48Pp1SIrHmV5yeEAXt+RSAjohhBBCpEKZurW5d+4i4W9VP6wpisK/S1dxaOVaYqNj0tT2szuJl6iJ9GVjY8HsOX158SIYZ+d6bNvqn2FL/1xc6gHQt19ztm07yp49ac9QamtrxcuXbxIEC3v3nqaARTeMjAw+8mRif/zZix9/6szOncc5cSJhcpKpU7tTpow1AC1bVk9Rcg9VhkvN/5ajo2MoatM7yVnBjBITE0uTxuMpUCDPR+9bv2EUzi5OyQroihUryKzZbhw6dJ5u3/yV4PiFwMDgNI85LXL0HrpI2UMnhBBCiFQyMctHkQrluOZ3LNG1tAZzIuNpaWmxYuUwAGrXGoG//1UWLOyPlZVZuvelp6dLh68d8PQ8woULd1m6bDD58pmkuV3bklbq5Zbve/MmjKdPX6eoDB2ymEePXrJq9Q8YGr4LBhs2rMSQoW1ZuGAXT568ootzvRSNUVOGy/dldjAXT1GUT34m69f9R6lShaha1fajbWlpabF8xVAUBXr1nM2TJ68StBMbmzXvGC9HB3SxMTFEhoVLQCeEEEIIjXKZGNNq+ADyFLRIdK20fU0ArvkmDujE52/w4NY0aFCJH4Yv5fbtJ/TsMYtcufQ1LplLq6ZNq5IvnwmrV/1Lj+6zsLDIw/wF36e5XVtbS/Vyy7QKCgqhd6/ZlC1rzdSp3QEwNTVi+YphXLsWwKhRK9i08QitW9dM9uHc1tb5yZPHOMkZus/dli1+REVFq2dXkzJ0aFvq16/IsKGLExye/rnI0QEdqPbRyZJLIYQQQmjy9c8jadj7O1oNG5DoWhmHOoS8ek3AlWtZMDKRFmXKWDN1Wg+8vI6zfPl+AG7ceMSY0Sto0aI6ffo0S9f+nF3q8fLlG/bvP8vZs7f5deIGunb9ii5dHFPdpq6uDkWLFuC2hhm61Dp48Dzz5noxZGhbGjSoxKzZfShc2Iwe3WcRFhaBh8cRDA0NaNu2VrLae5fhMnFClOzg1au37Nt35qOzkuXKFeH3qd3ZseMYK1f+m4mjS77kBHTLgWfAxffqpgNXgfPAViDvR57XAc4AO1M5xjSJCA2VLJdCCCGESKRaq6ZUb92c5/cDqNqyKQVLFFNf09LSorRDLa77H0fJ4uVUXxJtbW0sLfMlKJ+aLdLV1Ulwf6FCZqxaPZyQkAj69pmX4N6FC3dz4MBZZsx0pXjxguky5ly59GnXrjZbt/gTFRUNwB9/bOLo0bQt8bSxsUBXVyfdZujijR27imvXAti4aSy9ejVm6u8b1Zkt/fyu8OBBYJIBjoGBXoLPuk6dMgBcupQ9Z+gAPNx9KFq0gPpd3qerq8Oq1cN58yaMvn3mZ8Hokic5Ad1KoPkHdfsBO6AScB348SPPDwWupGZw6SEiRGbohBBCCJGQWWErOo4bzZ3T55jXvS+RYWE07e+qvm5VuiSm+c017p8TGWfd+pE8erw6QXnydA2WlvmSfGb7jvEJ7g94uIpatUozoP/CRJkXFUWhd685REfHsHLVcLS1075YrWXLGuTObYS7u7e6LiYmlp49ZmNoaMCSpYNT1e6HRxakl7CwCHr2mE2ePEacPn2LSZM81NcURcHT4wjNm1cjb17jBM9ZWubj5q0lCT7rCb905cGDwCzN8JhW27cfJTw8EhcXp0TXfv65CzVqlKL/9wt59ixxFs/PRXKyXHoDxT6oez/36FEgqZyg1kArYArwQ0oHlx4iQ8NkD50QQggh1LR1dOg27VcURWHdjxN5++IVPus8adK3F/sXr+TJjVuUqVsbgGt+x7N4tF8OLS0tmjWryoEDZ9m00RcAU1ND/pzemy5dHJk7N/G5a1ZWZjRrVhUPDx8OHTyvrr979yn79p1JdD9AQMBzhg5ZzKrVPzB8eDtmzNiapnE7u9Tj6dNXHD58IUH99esPGTtmJXPn9cPNrSlLl6Ysdf+HRxakp2PHruFYdwy3bz9RzyrG8/DwYcTIDnToYM+KFQfU9UuWDsbMzIShQxYTERGlrj9z5la6jy8zvXkTxu7dJ+ncxZEfflimTnBSvXpJfh7nzJo1h9iyJflZP7OEoijJKcUURbmYxDUvRVG+TeLaJkVRqiuKUl9RlJ3J7IsTJ04oQLoUt0UzlaHrl6Vbe1KkSJEiJf2Koignk/vd8JmW5oqiXFMU5aaiKGM1XO+pKEqgoihn44pbXH0VRVH8FUW5pCjKeUVRnDP7+/FLLk37uyozLvgrVVs0UdcZmuZWJvvtV3rMmqoAyvdL5ykjNq/J8rF+SaVCBRslVvFSundvmKD+9Jk5yhHfPzU+M2RIGyVW8VLKlLFOcX+bNv+ohIVvUSpUsEn1mE1MDJW3IZuUefP6abyupaWl7D8wWQl+46kUL14wRW1Pn95bCQ3brGhpaWX6f4sbNxcre/b+pv67m1tTJVbxUgYNap3l/04yonTu7KjEKl5K/foVFUDJlUtfuXhpgXL/wQolTx7jLBtXcr8j0zrP/DMQDWg6vKE1qr13yT2Eoy9wEjiZP3/+NA7rHVlyKYQQIoPoAAuAFkB5oGvc/37IA6gSV5bG1YUC3YEKqLY1zObj+9FFOqnSvDFN+vXi5I5/OPPPfnV9WPAbvFdvoFLj+hSvVpni1SpLdstM5uBQDgBf34Q7dTw9fHBwKEfRogUSPePs4sSZM7e4di0gxf19328BQUEhrFr9A3p6qTuauU2bWhgZGSR5tl38Es+YmFhWrByWoiWeJWwtuXXrSYLzzjKLh7sPDRtWwsIiD8WLF2TGTFcOHDjLggW7Mn0smWHXrhO8fRuGc9zewcmTv6V8eRt695pDUNDnv5w0LQFdT1RBWzdUUeSH6gJtgbuAO9AQWPuR9hYDNYAaz58/T8OwEooMDZOATgghREaoBdwEbgORqL7r2iXz2etA/Mm+j1D9AjRx3nyRbkrUqMrgtYv5bvokHt+4xZbf/0p0j/daD0KDg/lu+iR09fS45ns0C0b65bJ3KMezZ68TLTGMD5Y+zBhZtGgB7O3L4ulxJFX9PX8eTN8+86lWzZbx451T1YazSz0CAp4nCkLf9+BBIEOHLMbJyY7hw5P7fxHpe2RBSnl4+KCrq0OXLo6sWDmM2FhVYJoVwWVmCA2NwMvrOB071aVRo8oMG96OhQt2ceDA2aweWrKkNqBrDoxGFbCFJnHPj6j20BUDXICDwLep7C/VwkNCMDCULJdCCCHSXWHgwXt/D4ir+1BHVFmhNwFFNFyvBegDSW1EyZAVLF+KAsWL4rrgLwauWEhey4J4TPid2S69iQhJ/ONL+NsQDq9cT54CFkSEhnH79LksGPGXq27dchoDozt3nnLs2LVEmRfjA7ykZseSIz4V/dgfO1OrVukUPZs3rzHNm1fD08Pnk4HO6tUH2bbtKJOnfEeFCjbJar9ECct0PbIgJS5cuMvly/eZOq0HTk52DBn8PwIC0m/C5XPk4e5D/vymbN32M7duPWH06BVZPaRkS05AtwHwB8qg+rJyBeYDuVFluzwL/B13byFgd/oPM/XkHDohhBBZyAvVLzYrofrOXPXBdStgDdALSCo3foasYPkS5MptwoAVCylWuSJeM+YztVUXjm/1IjYmJslnjqzbyNuXr7h57CQxUVFJ3ifSl4VFHkqVKoS/n+aZLk8PH6pXL0mpUoXUdc4uThw9epW7d5+mqe9hQxfz6NFLVq4ajo5O8uc6unSph76+Hu7uyQso+/WdT1BQCCtWDvvkvQUL5sXExDDLZuhAFeCYmBiydas/a9YcyrJxZJY9e07x+vVbDA316dF9JqGhEVk9pOT7DDaUZ+im74au3ykzLvgrerkMsnzDpRQpUqRISViSu+H7My32iqLsfe/vP8aVpO7XURQl6L2/myqKclpRlE5Z8f34JZT2Y4cr088eUQqXK52i58ytCysm5vmyfPxfUmnXro4Sq3gp9vZlNV4vXNhciVW8lHHjnBVAKVWqkBKreClDh7ZNl/7jk2I0bFgpWfdbWuZTAp+vU3z9pqeonz59mimxipdSvXrJj97n4FBOiVW8lObNq2fZfxNLy3zK0qWDlfz5TbP830dmFTe3pkqfPs2yfBzxJbnfkWk/fOMzF7+kQo4uEEIIkc5OAKWA4qiWTLoAOz64x+q9P7fl3bms+sBWYDWqpZginVmVLkldl474b9zGwyvXU/Tsi4CHvH3xKoNGJjRxcChLREQUp09rXnn88OELvL0v4hx3Vpizcz1iY2PZuDF1++c+5OV1nODgUI1nkWmyZOlgDA0N6NljVor62bjxCJGRUZ/sp2TJ+DPosm6G7smTV7i5zeP58+AsG0NmW7p0H0uW7M3qYaRYjg/owiWgE0IIkTGigUHAXlSBmidwCfgNVfAGMCSu7lzcn3vG1XcBnOL+fjauVMmcYX8ZOv48ktCgYP6Z97+sHopIBoe65Th58kaC880+5OHuQ4UKNtjZFcWlqxM+Ppd59OhluvQfHh7J9u3H+LqjwyczXrq5NaVVq5qMHbOSGzcepaif169D2Lv3DF2cHdHS0kryPltbK2JiYrh791mK2hdfphwf0EWGxgV0so9OCCFE+tsNlAZsgSlxdRN4N1P3I6qjCSoDDYCrcfVrAT3eHWdQBVVQJz6i6+8T+O6vyeTKbfLR+6q3aUHxapXZNWshYcFvMml0IrX09XWpUaMU/n5XP3rf5s1+xMTEMCkupbyHu3e6jsPD3Rszs9w0blw5yXvSI4W/h7s3RYpYYG9fNsl7Stha8uDB80SHfguhSY4P6CLiAzojyXQphBBCZFf2nTtQo00LqjRrxLD1yyhQvKjG+3LlNqHNiEHcPXeBE9tz5plZOU316iUxMNDDL4mEKPGePXvNwYPnadeuDtHRMWze7Jeu49i//ywvX75RL+v8kLa2drqk8N+x4zhhYRG4uNRL8h7buDPohEiO1J2imI2ol1zKDJ0QQgiRLZkXsabNyMFc8zvG/v+toPuMKQxdv4z1P/3KpUMJMww2H9gH43x5WdJ/OIqiYG9flrdvw7lw4W6q+y9c2JyqVUuwc+eJNL7Jx5UoYUmpUoXYu/d0qtvIlUuf/v1bYGho8NH7Tpy4wf79Z1Ldjybt29fh6NFrPHmSsv2H8QeK+31ihg5Uyy6bNKnKv/+eIzAwKFXjTEpUVDRbt/jTuYsjuXLpEx4emeD6sGFtcXKyo2ePWWlK4f/2bRi7dp2kU2dHhg1bSmxs4gS3trZWbNvqn+o+xJclxwd0kaFhABgYG2fxSIQQQgiRUlra2nSdPI7Y6Gg8Jkwh6Gkgs1160XP2NHrP/ZPjW3eio6eLRTEbLIraYJjbBF/3zepEKMuWDyU8PJJqVYemegwjR3Zg6LB22BTplaFncc2a3YdmzapiZdmdV6/epqqNHj0aMmOm2yfve/nyDRb5u6XbQdFdujji7jGGY8eu4Vh3NDExSZ3CkZhD3XLcvPmIZ89ef/LeLVv8mPBLV/739z9pGW6S3N29cXVrSosW1dn6XkBVvrwNU37vzrZtR1m9+mCa+/Fw96ZTp7p89ZUdhw6dT3Atd25DLCzyyAydSLacv+QyfoZODhcXQgghsp36PbpSvFpltkydQdDTQACCngayoEd/jm3xonqb5hSvWpmw4Dec2rmHzZOns+OveYBqiVyJEgWpUqUEZcpYp3oMdhWLAe8Oss4I+fKZ0KxZVfT19ejQwT7V7Ti7OHHlygMM9Dugr9deY3FznYuZWW7Klk39Z/I+KyszFizsz4MHgdSuXYaxYzul6HkHh7IaDxTX5PXrEIoV7c22bUdTM9RPOnz4Ak+fvkpwiLmeni6r1/xAUFAI/frOT5d+du8+xZs3oRqXXdraZn2GS5G95PiATpZcCiGEENmTZSlbmg/qy/n9hzi9M2Eq8ejISDx/+Z0x1b9iSvOvWdxvGFt/n4GfxxaiI1QHAhcpkh99fT0AnJ1TH4zZ2dkAJPghP7116GCPvr4eQUEhOH9kb9XHWFmZ4eRUAQ93b6KioomOjtFYfHwuAe+WOqZVfAr/xo3GsWHDf0z4pStVq9om69kSJSwpWDDfJxOiZJaYmFg2b/KjTZtaGBvnAmDcOGeqVbPl+34L0m2ZZ1hYBDt2HOfrjg7o6uokuGZrawkgM3Qi2XJ8QCdZLoUQQojsR1tXh2+mTCDszVs2TfozyfsUDfuP4sX/YKwKkpJ3vtiHLCzyULBgPu7ceUqtWqUpUcIyVe18Shfnety8+Yj583bSsGElLCzypLiNzp3roq2tjYfHx89mu3HjEYGBQTjUTXtA5+bWlJYta6hT+A8a+DeBgUGsWj0cAwO9Tz5fN24Mvr6X0zyW9OLu7o2RkQFt2tSiZs1S/PhTZ1at+jfdZwU93L0xNzelceOEJ5bIDJ1IqRwf0MVERxMdGSlZLoUQQohspH6PbyhcrjSbfvuTkFef3lulSfwPxgsX7KJcuSJUjFs6mRIVKqhm56ZM9gBUB1qnNwuLPDRqVAkPdx82bPBGR0eHTp3qprgdZxcnzpy5xbVrAZ+818/vCg4OSafNT47ixQsyc5ZbghT+r169xc11HnZ2Rfntt26fbMPBoRxBQSFcvvwgTWNJT76+VwgIeE7PXo1ZtfoHHj16ybChS9K9n337zvDq1dtEM7K2tpY8e/aaN2/C0r1PkTPl+IAOVPvoJCmKEEIIkT2YFbaiSb/enD9wmIsH/0t1O7a2lkRERDFnjhfR0TFJpok3NzdNsg07O9XxCLt3n8TX93KSyy5NTAypUMEmQcmbN3k/e3TqVBcdHR3c3b25fPk+Fy/eS3LZpYmJocYDqYsVK4i9fVk8PzE7F8/f7yplyliTP3/S7/6+XLn0E73fipXDiImJTZTCf8+eUyz+3x5GjOxA3brlP9quQ91y+PtfTbfkLOlBURQ8PXxo2rQqZcta07vXbIKCQtK9n8jIaLZu8aNDB3sqVSr27rO1KyrLLUWKfBkBXWgYBkay5FIIIYTIDr7+eSSxsTFsmzYzTe2UsLXizp2nPHv2mgMHzmpcdtm0aVWePF1N69Y1NbZhZ1eUFy+CefLkFR7uPlSuXJxy5YokuMfc3JTLVxZy4eKCBOXmrSXY2Fh8cpxdnOtx6dJ9Ll26D6iW4jk52VG4sHmC+woVMuPW7SW4e4xO3EZcwhYPD59E1zSJT0LyscOt37di5bBE7+fkZMfQIYs1Zv4cMWIZd+8+Y978fkm2mT+/KRUq2OCXzIQomWnDBtWh5fPneXHw4PlP3J22fkxNjTh7bp76c3VwKMfVq5+eZRUi3hcS0IWiL0suhRBCiM9epaYNKVfPgT3zl6izWqaW6nBm1T4kTw8fSpSwpEaNUurrefMas2z5UHR0dBLtY4pXwc6GixdVgdamTb7ExsYmWna5cFF/ChTIg5vrXDp3mkrnTlP5tttf6OnpsHzFUI0zavEKFzanXr3yeLh7q+vig7LOnRMmclm2fCgWFnno3NmRb79tkOBaF+d6HD16lbt3n37qYwHg1KmbREZGqfewfYypqRHt29dh0yZf9ft17jSVeo5jkkzhHxISzuxZ26lSpUSiADhep06qPX8ZlbEyLU6duol9nZH88MOyDO3n33/P0azphASfa+dOUxkzekWG9ityGEVRPrty4sQJBUi3MnjNYqXf4jnp2qYUKVKkSEl7URTlZFZ/52Snkt7fj59byWVirPxy0EsZ7rFS0dbRSXN7QcEeypw5fRVAyZPHWAmP2KL89Vdv9fU1a0coEZFblRs3FyvHT8zU2MbLVxuU+fO/V//9wL+TlctXFqn/3rXrV0qs4qWMHdsp0bOurk2VWMVLGTy4TZJjHDasnRKreCmlShVKUH/i5CzF/+hf6r9//30LJVbxUgYMaKn85z1Neflqg2JtnV8BlNKlCyuxipcybFi7FH0+vn7Tlf+8p33yvu++a6DEKl5K7dplUtR+wYJ5lajobcrEid9ovH7w0O/KhYsLsvzfnRQpn2tJ7nfklzFDFxIiSy6FEEKIz1yLId9jYm7Gpt/+IDYmJk1tWVjkIXduI27eVM3QBQWF8M8/p+jiXA8tLS06dapLt271mTzJA/cN3lSpUgIjI4MEbRQubE7evCZcvHhPXefh7kPZstZUrlycQoXMmL/ge/z8rjB9+pZEY1i2bB87d55g2h89kjwHr4uzI6dO3eTGjUcJ6j3cvalduwzFixfE1taK6X/1Zu/e0yxcuJtePWejq6vDsuVD0NLSwtm5HrGxsXh6Jm+5ZTx/vyvUrFkKPT3dj97n7OLE3btPOXbsWoraf/r0NYcPX9S4H7BQIdURC57JXCIqhEjalxHQhYbJkkshhBDiM2ZdviwOzl/ju2ETDy6lfU/Vu7O83qV+93D3wdo6Px07OrBw0QBOnLjB1Kkb8fO7gq6uDrVqlU7QRnxClPcDui1b/ImKiqZrVyeWLhuCvr4uPXvMIiZG8/EJffvMIzQ0gpWrhqGjk/DHrmLFClKnTtkEyy3jeXqqkpt8881XrFw1jMjIaNxc5wJw+/YTRo5YTpMmVenfvwXOLvXw8bnMo0cvU/QZ+fpeIVcufapVS/rMOHNzU5o0qYKHe+oCLw93b8qUsaZKlRIJ6jt3dow7YkECOiHS6gsJ6ELlHDohhBDiM9agVzfC37zln3n/S5f23p3l9S5boJfXcUJDI1izdgTGxgb06D6T6OgY/P1Vh1p/eNB2fEAXn6wE4MWLYA4cOMfQYe1o3rw6o0etUM8CavLkySv6f7+Q2rXLMHZspwTX4vfixQdv77t/PxA/vyuMG+9C3brlGTzobx4+fKG+vnjxHv755xQzZrpRvrxNqma6/PxUgfPHji/4+mt79PR0cdcQdCZHfAD8YYZRZ5d6nD59i+vXH6aqXSHEO19GQBcSSi4TObZACCGE+BzlNjejYqP6nNi+i4iQUAAMDQ044vsnN24uTlDGj3dJVpu2tpbExsZy5867gC4kJJydO09gYKDHTz+uVmcSfP06hEuX7ic6aLuCXVEePXrBq1dvE9R7uHtjYKDHvn1nWLRo9yfHsmmTL+vX/8cvE79J8C7jxjvj53eF+/c1J3/xcPfBwEBP/fyH3FznEhISTkxMDJs2+X5yHB96+vQ1t249xuEjRwt0ca7HtWsBnDt3J8XtA7x8+Yb9+88mOO7hYzOTQoiU+/ii6RzizYuXGJmaomtgQHRERFYPRwghhBDvqfV1G3T0dPHz3Kqus7cvg4NDOXbvPsmLF28AqFKlOCNGduDPPzcTERH10TZL2FoREPCCyMjoBPWTJ7lz6eI95s71SlDv53uZTp0d0dLSUp+JZvdehsv3bdzoS/nyRZg9e0ey33HQwEU8Dwwin1nuBPXLlu5L8plVq/7F2tqcP/7YrPH648cv6dxpGmXLWjAO/LoAACAASURBVBMYGJTssbzPz+8qjRtX1njN0jIfDRpUZPIkj1S1Hc/D3ZtVq3+gdu0yHDt2TX3EgqaZSSFEKmR1xq7MyOJVo21LZcYFfyW/jXWWZ6uRIkWKFCnvimS5lCyXWtrays97tyj9lsxNUD9+vIsSHbNdMTU1Utc1aVJViVW8lHbt6nyyXZ8jfyj/HpyS7HH06NFIiVW8lHLliiiAoq2trbwN2aTMmOGa5Z9RRpZ+/ZorsYqXUrx4wUTXBg1qneAzSW0xNTVSwsK3KLNmuSmAcur0bMXXb3qWv7sUKZ97kSyX73n1WLXcIq9lwSweiRBCCCHeV66eA2aFrPB/b3YOwN6hLBcv3iM4OFRdd/DgOQIDgzRmTfyQra0Vt9/bP/cpvr6XAdTnshUvXhAjI4MECVFyIj8/zfsHQbXc8ty5O1y58iBNfQQHh7J790k6d3GkbFlrqla1leWWQqSjLyKge/3kGQD5rCSgE0IIIT4n9l3aE/QskIuH3v2Ar62tjb19Wfx8E2a7jImJZdNGX9q0qZXoiIH3GRvnwtIyX4IMl59y8+ZjAgODsI8LbCpUsAHI8QHdpUv3CQoKSXTAeJEiFjg6lk+3wMvD3ZtChcyZO68fsbGxbNyY8j1/QgjNvoiALuipKqDLIzN0QgghxGfDrLAVZR3tObbFi9jod+fOlS9fhDx5jNWzR+9zd/fG2DgXrVvXTLLdd0cWJH+GDlRZH+MDm/gMl5cvp2126nMXGxvL0aPX1IFsvPh9bul1rMDOnScICQmnceMqeHtf4vHjlB2xIIRI2hcR0EVHRvLmxUvyWhbI6qEIIYQQIk6dTu1BUTi2aXuC+vigKn4Z5PuOHLnMw4cvcHZxSrLdd0cWJH+GDsDP9wqlSxcmf35TKtjZcPv2E0JCwlPURnbk53uFihWLMnOmGzNmuDJjhiv9B7Tk+PHr3LnzNF36CA2NwMvrOIAstxQinX0RWS5BtY8un6VlVg9DCCGEEICOnh61OrTm8n9HeB23kiaevUM5njx5pTGYUBSFjZ5H6D+gJaamRgn22MVL/Qzdu/1kdnZFc/xyy3heXscZOKgVvV2bqOtiY2P5deL6dO1n4YJdVKhgI8sthUhnX0xA9/rJMwoUs8nqYQghhBACqNS4PrnNzfDz2JroWt265fD9YP/c+9zdvRk2vB3t29dh9eqDia7b2lrx/HkwQUEh/2fvzsOiKv83jr9Zh0UQBcVdFBG3NPc9y9IW2y0zKzMr282yzLKy0sqyxcp+lZXfsiy11FJbzEzLXMF9RwUXVFQWRdmX8/tjBkIBRWA4zHC/rutcDuc8Z+YGp8YPz3ZRmSIj95CZmcXll19CixYN+GVRxEXd76g2bYqmTvA9dn+df//dQbu2T9j9dUSqmiox5BLg5NFjBGhRFBERkUqh+6BbiD8US9TqdWedDw4OIDS0LqtXFV/Q5Q0FLLhZdUFNQ+tc9HBLgIyMLNav38edQy7Dw8O9yvTQiYhjqzoFXdwxvHx98fKrZnYUERGRKi24aQihndqz5oef8jfxzpO3fP75eugA5sxeQb9+lxIY6F/oWmho3Ysebpln1cqdBAfXAJx/hUsRcQ5VpqBLirOOw9fWBSIiIubqdtvNZGdlse6nXwpd69GjJenpmWzcuO+8zzFr1j94eLhz663dzzrv7u5Go0a1iC5FDx1YV7oEyM7OYffuw6V6DhGRilRlCrqTtoIuIFgFnYiIiFncLRY63XQtW5csIyXpZKHrPXq2JCJiD5mZ2ed9ns2bY9i1K7bQsMvGjWvj7u5W+h46W0G3Z88RMjKySvUcIiIVqQoVdNYVtDSPTkRExDyXXn0lPv7+rPrhp0LXLBYPOnYMPe/8uYJmff83V1xxCV26NM8/998Kl6XroTt27CTbtx8kImJPqe4XEaloVaagOx2fQE5WNgHaXFxERMQ03QfdzLHo/URHbix0rVOnMDw9PS44fy7P++//zKFD8Xw94ym8vS0ANGuWtwdd6XroAPpe8QJPPP5pqe8XEalIVaagM3JzOXX8hObQiYiImKRu82aEtLuE1UX0zgH06NECgNWrd5Xo+U6fTuO+YVMID2/ApEn3AtYFUVJTMzh6NLHUOU+cOMXp02mlvl9EpCJVmYIOICkuTj10IiIiJul++81kpWcQueC3Iq/36NmS3btjiY9PLvFzLl++lQ+m/MwTI2+gb9+2NA2tQ3R06XvnREQcTZUq6E7FHSegTm2zY4iIiFQ5nt7edLz+GjYtXkpactEFW48eLVm1qmS9cwU9//wMdu2KZfr/RnHJJSGlnj8nIuKIqlRBl3T0GNWDa+Pi4mJ2FBERkSql/XX98Krmy+of5hd5PSysHrVqVWdVCefPFZSensm9Q9+jXr2aNG1ah+gyzJ8TEXE0VaqgOxl3DHcPD6oF1jQ7ioiIiNPq2bMVEZHvU726b/657rffzJGovRzYvK3Ie/I2FF9VwhUuzxURsYc33/gBKP0KlyIijqhKFXRJR7W5uIiIiL3163cpHTs245ZbugHQ8rKeNGzdklWz5hV7T8+eLUlMPM2uXbGlft0JE2Yx+ukvmD3731I/h4iIo6lSBV3+5uJaGEVERMRumtr2grtj8GW4e3py83OjiNsXw9r5C4q9p3uPlqxevQvDMEr9utnZObz//s8kJJR8URUREUdXNQs69dCJiIjYTWiodS+4K69sx02PDSOoUQN+fut9crNzimxfo0Y1WrduVKr5cyIiVV2VKujSkk+TkZqqHjoRERE7Cg2tw9q1u3F3d+OBkQPZ8udyolZHFNu+W7dwoPTz50REqrIqVdABnIw7Tg0VdCIiInZRrZo3tWsH8NP8NRyOT6NlYA4LJn9w3nt69mxFdnYO69btqaCUIiLOo+oVdEe1ubiIiIi9hNrmz53BiwM5gTTwzcabzPPe071HCzZujCYtLaMiIoqIOJWqV9Bpc3EREZFy5VXNlwatwqnTrCmXdm0DQGj/64iIOoWrqwu3396r2Hvd3d3o2jWcVSt3VFRcERGn4m52gIqWFHcM/1pBuHl4kJOVZXYcERERh3f35Am07NUdgE5BqUAqHnUaM23kC/R++xbuGNybDz4oeoXLdu2a4ONjYdWqXRWYWETEeVTBHjrrSpfVg2uZnERERMTxeXhZCOvSkU2//8nXT7/AiU3rSDqVxv89/Cxbl/7NnNkr6NatBSEhRU93KOuG4iIiVV3VK+jyNhfXPDoREZEya9K+Le6enkT8/AtblizD3z2b3TsPsHPFKgBmz14BwKBBRQ+77NGzJQcOHOfw4YQKyywi4kyqXEGXpM3FRUREyk1Y105kZ2URvX4zAM2a1WXfvrj86wcOHGf16l3cMbh3kff36NGCldp/TkSk1KpcQXcy7jigzcVFRETKQ1i3zhzYso3MtDQ8PNxp2DCI6AIFHcDsWf/Qvn0o4eENzjrfsGEtGjasxWoNtxQRKbUqV9BlZ2RwJjFJPXQiIiJl5O3vT/2W4exZEwlASEht3Nzc2Lfv6FntfvhhJdnZObwwbtBZ53v0aAGgHjoRkTKocgUdWIdd1lAPnYiISJk069IBV1dX9qyOACA0tC7AWUMuAY4eTeSN1+dwzz1XcMst3fPP9+zZkjNn0ti6dX+FZRYRcTYlKeimA8eBbQXOTQZ2AVuA+UBAEfd5AeuAzcB24NUyJS1Hp+KOqYdORESkjJp360x6SgoHt1v3kMvbVPzcHjqAiRNns379Xj797DFq17b+s6F7j5asWbObnJzcigstIuJkSlLQfQVcc865JUAboC0QBTxfxH0ZQF+gHXCp7Tm6lTZoebJuLq6CTkREpCzCunVmX8RGcrNzAGsPXUpKOnFxSYXaZmfnMPSe9/Dz8+azaY/h6+tFu3ZNWK3950REyqQkBd0/QOI55/4Asm2P1wANKMwAztgee9gOoxQZy13S0WN4+1XD4utjdhQRERGHVKNuHWo1bsieNRH555qG1iE6Oq7Ye3buPMS4F2Zw003dmPrxw7i7u7Fy5Y6KiCsi4rTKYw7dcOC3Yq65AZuwDtlcAqwth9crs5PaukBERKRMwrp2AmDP2sj8c6GhdQvNnzvXlCkL+Pvvbdx775Xk5uaydm2UXXOKiDi7shZ047D21M0s5noO1uGWDYAuWIdpFmcEEAlEBgUFlTHW+SUesY7tD2pUVMeiiIiIFMfDw52duz7hnvv6kxyfQNzeaABcXFxo2jSY6CLmzxVkGAb3DZvC6dOpbN9+kFOnUioitoiI03Ivw73DgOuBK7nwUMqTwDKs8+i2FdNmmu0gPj7erkMz4/ZEk5ubS73wMLYvW2HPlxIREXEqTZvWITy8Ad514IVP/htuWbduDby9LRfsoQPYv/8Y11w9XouhiIiUg9IWdNcAY4A+QGoxbWoBWViLOW+gH/BWKV+vXGWmpRF/4BD1WzQ3O4qIiIhDyVvJslF1OLV3Z4Hz1i0L9u49fw9dntWrtRiKiEh5KMmQy++B1UA4EAvcD0wF/LDOi9sEfGprWw/41fa4LtZeuS1AhK3tovIKXlaHd0VRLzzM7BgiIuL4rgF2A3uBsUVcHwacwPp5uQl4oMC1e4E9tuNeu6YsJ3mFG0C7Bp4Fzhe/ZYGIiNhPSXro7izi3JfFtD0CXGd7vAVoX5pQFeHI7j20v7Yf3v5+pCWfNjuOiIg4JjfgY6yjUGKx/gJzAXDu0o2zgcfPOVcTGA90wjp1Yb3t3sJr/lcizZrVJS0zh8Q0uPG69rzx6re28/XIzs7h4METJicUEalaymOVS4d0eKd1Va16zZuZnERERBxYF6w9c9FAJjALuKmE916NdfRKItYibgmF932tdEKb1eVUljtLV++nS5fmNGliXTG6aWgdDhw4TrZtTzoREakYVbeg220t6Oq3DDc5iYiIOLD6wKECX8fazp1rINaRKz8CDS/y3kqlResQTmd78O3XSwC4447eQMm2LBARkfJXZQu6MwlJnDp+QvPoRETE3hYCIUBbrL1wX1/k/RW2rc+FuLq60rB+TRJT4e+f/mTVqp3cMfgywDqH7kJbFoiISPmrsgUdWBdGqd9SK12KiEipHea/Hjew7rt6+Jw2CUCG7fEXQMeLuBesW/p0AjrFx8eXNW+Z1K8fiIe7K7t3HSArPYPZs1bQrl0TunULp2ZNP/XQiYiYoEoXdEd27SG4SQjunp4XbCsiIlKECCAMaAJ4AoOxLmxSUN0Cj28E8tb6Xwz0B2rYjv62c5VW58usa51F/LMRgB9++Jfc3FxeGHcHoBUuRUTMUJaNxR3e4V1RuHm4U6dZE2J37DY7joiIOJ5srKtXLsa64uV0YDvwGtZhkguAkVgLuWysC6AMs92bCEzAWhRiuyexgnKXSo9+3QH4e8FfAMTFJbF8+Vauv74zgHroRERMUMULuj0A1AtvroJORERK61f+24M1z8sFHj9vO4oy3XY4hEs6tSA7x2DHpj355+bM/pe+fdsBEB2tgk5EpKJV6SGXibGHST+Tonl0IiJSZXXv3gJ/f58LtqsWWING9WsSF3+G3Nzc/PNz564iOzuHuLgkUlLS7RlVRESKUKULOsMwOLJ7D/VbqKATEZGqx2LxYNnyNxg9+pYLtm3VuycBlhz27I4963xCQjLz5q1m7VqNdBERMUOVHnIJ1nl0XW65HhcXFwzDMDuOiIhIhQkM9MPT04O27UIu2Lb1Fb2o7p7N9s17C127a8hkcnP1GSoiYoYq3UMH1pUuLT4+BDZqYHYUERGRChUU5A9AmzaNz9vO3WKhba/OeHm4FLnwSU5Orn4pKiJikipf0B3eFQWgYZciIlLlBAZaC7rQ0Lr4+FiKbRfWpSO1q3sA2ppARKSyqfIFXdzeaLKzslTQiYhIlZPXQwfQqlWjYtu1urwXPkYqoK0JREQqmypf0OVkZ3NsXwz1WoSZHUVERKRCBQb65T9u06b4gq51n17kHLcuhhITc8zuuUREpOSqfEEH1mGX6qETEZGqJq+HLj09s9h5dA1ahVM9uBaeaUnExsaTnp5ZkRFFROQCVNBhXRjFPygQv8CaZkcRERGpMIGBfiQnp7J9+0FatS66h65px/YA1PQtekEUERExlwo6CiyMog3GRUSkCgkM8ic+Ppnt2w8W20NXt3koyfEJhDQKIloLooiIVDoq6IAju/cAUL9FuMlJREREKk5goD8JCafZvu0ADRoEERDgW6hN3ebNiN+3j3r1AtVDJyJSCamgA9LPpHAsej+hnS41O4qIiEiFCbL10G3bdgCA1q3P7qVzdXOjTmgTjERrz5y2LBARqXxU0NnsWP4voV06YvH1MTuKiIhIhQgM9CMhIZlt2w4ChVe6DGrUAA+LBa/MU4C2LBARqYxU0Nls//tf3D08CO/ZzewoIiIiFSIoyJ+E+GQOHTpBcnJqoXl09cKtW/r4u2UBsHfvkQrPKCIi56eCzubA5m2kJJ2kdZ9eZkcRERGxOw8Pd/z9fUhIOA3Atm0HaH1OQVe3eTNysrKpHWAhMfE0J0+mmBFVRETOQwWdTW5ODjv+WUXLy3rg6uZmdhwRERG7yttUPD4+GYDt2w4U7qFr3ozj+w/QpEltDbcUEamkVNAVsH35CnwDqhNy6SVmRxEREbGrvIIur4du+/aDBAX5U7t2QH6bus1DObJ7D6GhdbQgiohIJaWCroCoVevIzsyk9eW9zY4iIiJiV4GB/sB/PXR5K13mLYzi7e9Pjbp1OLZ3H40b1yZaPXQiIpWSCroCMlJT2btuA60v1zw6ERFxbkFB1oIuISGvoMtb6dI67LJu81Brw+R4PDzc1UMnIlJJqaA7x/blK6gV0ohaIY0u3FhERMRBnTuH7vjxk5w4cSq/oKtnK+h8jVRAWxaIiFRWKujOsWP5vwAadikiIk7tvx660/nnCq50WTesGSlJSQy9sycZGVns2HHQlJwiInJ+KujOcfLYcQ7vjNKwSxERcWqBgX6cOZNGRkZW/jnrSpfWESr1wsNokBPHrbf24OWXvs3vyRMRkcpFBV0Rti9fQcill+AbUN3sKCIiInYRGOR/Vu8cWFe69PPzoXFIMGGtQri9awD//ruDd9/9yaSUIiJyISroirB9+Qpc3dxo0buH2VFERETsIjDQv1CvW97CKD2u6MCA0CxcgGH3vk9ubq4JCUVEpCRU0BUhdsduTh07oWGXIiLitIKC/IroobNuXfDKS4NoXC2LCW/9THS0FkMREanMVNAVY8c/Kwnv0RVXNzezo4iIiJS7onroTp5MITY2nrAmQcQku/PupFkmpRMRkZJSQVeMfREb8Krm+98+PCIiIk4kKMifxITCC51s2hRDSnoO360+SXZGhgnJRETkYqigK0bMhs0ANO1wqclJREREypebmys1alQrcuXKhx+ayrR1OezesseEZCIicrFU0BXj5LHjJB4+SpMO7cyOIiIiUq5q1rRuKn7uHDqAxOQMqFmPo1H7KjqWiIiUggq684jesImmHdVDJyIiziUw0FrQFdVDV6eZdarBkai9FZpJRERKRwXdecRs2IxfYE2CGjc0O4qIiEi5CQryB4ruoasX3gyAoyroREQcggq684hevwnQPDoREXEugYHWgq6oHrq6zZuRmpzMybhjFR1LRERKQQXdeRyPOcCZxCSadtQ8OhERcR7n66Gr1bghx2MOVHQkEREpJRV0FxCzcYsWRhEREadyvjl0AXWCOXlUvXMiIo5CBd0FRG/YRFDDBvjXCjI7ioiISLkICvInLS2DtLTC+8wF1KnNybjjJqQSEZHSUEF3ATHr8/ajUy+diIg4h8BAvyJ756rVrIGHxULS0TgTUomISGmooLuAw7uiyEhNpYm2LxAREScRGORf5Py5gDq1AdRDJyLiQFTQXUBuTg4HNm9TD52IiDiNwEC/Ygq6YACtcCki4kBU0JVA9IbN1AkLxcuvmtlRREREyiwoyL+YBVFsPXTHVNCJiDgKFXQlEL1+E66urjS5tK3ZUURERMosMNCfxCJ76OqQlZFBSuJJE1KJiEhpqKArgYNbt5OdlaX96ERExOG5urpSs2a1YnvoTh07gWEYJiQTEZHSUEFXAlnpGcTu2EWTDloYRUREHFtAgC+urq4kJBSzB53mz4mIOBQVdCUUs34zDdu0xN1iMTuKiIhIqQUF+QPFbSquPehERBxNSQq66cBxYFuBc5OBXcAWYD4QUMR9DYFlwA5gO/BkmZKabG/kBtw9PLjivrvMjiIiIlJqgYF+AIVWuXR1c6N67VokxWkPOhERR1KSgu4r4Jpzzi0B2gBtgSjg+SLuywZGA62AbsBjtscOafe/a4hc+BvXPPYgve8aZHYcERGRUimuh84/KBBXNzf10ImIOBj3ErT5Bwg559wfBR6vAW4r4r6jtgPgNLATqI+1x87hGIbB7Jdex9Pbm5vHPkVmWhpr5y00O5aIiMhFKa6HTnvQiYg4pvKYQzcc+O0CbUKA9sDacng90+Tm5PDtmJfZ+e9qbhs/lvbX9jM7koiIyEUprocufw869dCJiDiUshZ047AOrZx5njbVgLnAKKDwDOz/jAAigcigoKAyxrKfnKwsvn7qeWI2bObON16mRa9uZkcSEREpscBAfzIzszhzJu2s8wF16wBw8qjm0ImIOJKyFHTDgOuBu4DiNqzxwFrMzQTmXeD5pgGdgE7x8fFliGV/WekZfPnYM8TtjWbwxJeoVrOG2ZFERERKJCjIv9gVLtPPpJB+JsWEVCIiUlqlLeiuAcYANwKpxbRxAb7EOnfuvVK+TqWVkZrKzLGv4FXNl9vHP2d2HBERkRKpGehXaP4caA86ERFHVZKC7ntgNRAOxAL3A1MBP6yrXW4CPrW1rQf8anvcE7gH6Gtrswm4rryCVwbH9sXw64ef0qZvHzrf5FTfmoiIOKnz9dAlqaATEXE4JVnl8s4izn1ZTNsj/Fe0/Yu1l86prfhmNq0v783NY59m77oNJGnugYiIVGKBgX7s2HGo0PmAOsHE7txtQiIRESmL8ljlskozDINZL04AFxg88UVcXJy+hhUREQcWFORPwjk9dO6envgF1tQKlyIiDkgFXTlIOhLHz5Om0KxLR3pp03EREanEatYsPIeuerB1y4JTGnIpIuJwVNCVk3U/LWL7shUMGPUIdcJCzY4jIiJSSPXqvri7uxW7B13SURV0IiKORgVdOZrzypuknT7D3W+9irvFYnYcERGRs+RtKp6QcG5BFwygVS5FRByQCrpydCYxiVnjJlA3LJQbnn7M7DgiIlIxrgF2A3uBsedpNxDrvq2dbF97AF8DW7Fu8fO8HTMC1gVRgEI9dDXq2gq6YyfsHUFERMqZCrpytnvVWv7+Zha9htxOy949zI4jIiL25QZ8DFwLtMK6MnSrItr5AU8Cawucux2wAJcAHYGHgBA7Zi3QQ3f2HLqAOsGcSUwiOyPDni8vIiJ2oILODn55//84vCuKOyaMwy+wptlxRETEfrpg7ZmLBjKBWcBNRbSbALwFpBc4ZwC+WLcQ8rbdX3iDuHLk5uZKbGw8J06cOuu89qATEXFcKujsICcri5nPjcfL15fBE1/SVgYiIs6rPlBwU7dY27mCOgANgV/OOf8jkAIcBQ4C7wCJ9olptXDhOho1vI+YmLOLt4A6wVrhUkTEQamgs5Nj0ftZ8M6HtOjVjUuuutzsOCIiYg5X4D1gdBHXugA5QD2gia1N0yLajQAigcigoCC7hAyoE6w96EREHJQKOjta/cNPHI85wJUP3Gt2FBERsY/DWHvf8jSwncvjB7QBlgP7gW7AAqwLowwBfgeygOPASv5bMKWgabbzneLj48s1PIDF1wdvv2pa4VJExEGpoLMjIzeXv6Z/Q4NW4bTo3d3sOCIiUv4igDCsPWyewGCsBVueU0AQ1sVOQoA1wI1Ye9wOAn1t7XyxFnu7KiDzWfK2LNAedCIijkkFnZ2tX/Q7iUeOctWDw8yOIiIi5S8beBxYjHXrgTnAduA1rIXb+XwMVLO1jwD+B2yxW9Ji/LcHnYZciog4InezAzi73Owclv9vJreOe4amndoTHbnR7EgiIlK+frUdBb1cTNvLCzw+g3XrAlMF1KkNaFNxERFHpR66CrB2/iKS4xO46kHNpRMRkcqlRt065ObkkHyi/OfniYiI/amgqwDZGRn8M+N7wnt0pWHrlmbHERERyRdQpzbJJ+LJzckxO4qIiJSCCroKsmr2fFJPJXPVCPXSiYhI5REQrC0LREQcmQq6CpKRmsqKmXNo07cPdcJCzY4jIiICWHvoNH9ORMRxqaCrQCtm/kB6SgpXDLvL7CgiIiKANhUXEXF0KugqUFpyMuvmLaL9tf3wr13L7DgiIlLFeXp74eFl4UxSktlRRESklFTQVbAVM2fj4upC7yG3mR1FRESqOE8fbwAyUlJNTiIiIqWlgq6CJR4+ytalf9Pt9pvx9PY2O46IiFRhFm8fQAWdiIgjU0FnguVff4ePvz9dbrne7CgiIlKFWXxtBV1qmslJRESktFTQmeDglu3EbNzCZffcgYur/gpERMQcFtuQy8w09dCJiDgqVRMm+fvr7whsUJ9LruxjdhQREamiPH3UQyci4uhU0Jlk27IVxB+Mpc+9dxa65u3vb0IiERGpavKHXGoOnYiIw3I3O0BVZeTm8s+3s7n1hdGEXNqWnKws2l19JW37XUFAndpMe2gUe9etNzumiIg4sbwhlxmpKuhERByVeuhMFPHTIlJPJfPI9KmMmjWd3ncP4lh0DElH4xj06gtaBVNEROwqfw6dhlyKiDgs9dCZKDMtnUXvTaVVn55s++sfti1bQVryaZq0b8ujX33CgKceZf4b75odU0REnJSnbduCdA25FBFxWCroTLZ23kLWzlt41rmYjVtYMXMOfe4ZzOY//iI6cqNJ6URExJlZfH3IycomJyvL7CgiIlJKGnJZQIB/7wAAIABJREFUSf324afEH4zljtdewNPby+w4IiLihCw+3mRoywIREYemgq6SykrPYPbLrxPUsAHXjnzY7DgiIuKELD4+WuFSRMTBachlJRa9fhMrZs7hsrvvwMvXl/QzKWRnZpCVkUn0+k1aBVNERMrE4uujPehERBycCrpK7tcPPqF2k8a06NUND4sFd4snHhYLOdnZfPn4s+xeucbsiCIi4qA8fby1wqWIiINTQVfJZaalM+2hUWeds/j68NhXnzD0nYlMvfdhjkbtNSmdiIg4Mou3t/agExFxcJpD54AyUlL54rFnSE9J4YH/exf/2rXMjiQiIg7IOuRSBZ2IiCNTQeegko+f4ItHR+NVzZcHpr6DxcfH7EgiIuJgLD4+GnIpIuLgVNA5sKNRe5kx+kXqhDXlnncn4uFlMTuSiIg4EE8fby2KIiLi4FTQObjdK9cwd+JkWvbqztNzvqZhm1ZmRxIREQdh8fHWtgUiIg5OBZ0TWDt3AZ/c/zgeXhae+OYzrn7sQVzd3cyOJSIilZiLi4t1HzrNoRMRcWgq6JzE3nXreefWu9nwyx/0f3g4I2d+od46EREplqe3N4Dm0ImIODgVdE4k/UwKs16cwFejxhIQXJtR33/JA//3Lo0uKVzY+dYIIKhxQxNSiohIZeDpYy3oNIdORMSxaR86J7R16d9ErY6g550DufzeITz53Zfs/Hc10ZGbaNAqnIatW1Kzfl1yc3P5cMgDHNq+0+zIIiJSwSy+1tWRM1JTTE4iIiJloR46J5WRmspfX37D69cM5Jcp/0ej1i0ZMOoR6rdszoEt21j47lRST57i2idGmB1VRERMYFEPnYiIU1APnZPLK+z++WY2Hl4W0pJP518zcnO58dmRNO14KdHrN5mYUkREKlre/qWaQyci4tjUQ1dFZGdmnlXMAaycPY9Tx09wjXrpRESqnLw5dOnatkBExKGpoKvCsjMy+HPaV4R2bE94j65mxxERkQrkld9Dp4JORMSRqaCr4tbOXUBC7BH10omIVDGePnmLomjIpYiII1NBV8XlZGez5NMvadSmFW369jE7joiIVBAtiiIi4hxU0AnrFy3meMwBrnn8QVxc9ZYQEakK8rYt0JBLERHHpn+9C7k5OSz++HPqhoXyxDfTuOm5UXS84VrqNGuqAk9ExElZfLzJzswkJzvb7CgiIlIG2rZAANj8x1/U+vhzwnt0peutN3LZ3dahOHH7Yvh2zEscjdpnckIRESlPnj4+Gm4pIuIEStL9Mh04DmwrcG4ysAvYAswHAi7iXqmEDMNgyafTmTr0IcZ1v4q3bhzM7Jdex8ffjye/+5Lut99idkQRESlHFh8fMrRlgYiIwytJQfcVcM0555YAbYC2QBTw/EXcK5WckZvL8ZgDrPtpEe/eNpR9ERu57eUxDH33dbz8qpkdT0REyoHFx5sMzZ8TEXF4JRly+Q8Qcs65Pwo8XgPcdhH3igM5k5jEF48+TZ+hd3Ldk4/QvFtnUpNPYxi5YFjn38Xu2MWulWuJWrWW0wmJZkcWEZESsPh4k6khlyIiDq885tANB2aXw/NIJWUYBsu//o596zfRbeCNuHl44OLqgqurK+4WC2HdOtNhwNUAHN4VRdTqCPZGrCdmw2YN5xERqaQ8fXzISFNBJyLi6Mpa0I0DsoGZ5ZBlhO0gKCioHJ5OytuhbTs4tG1HofMuLi7UCw8jvGdXwnt0pfddt3PFfXfZeu92s3Xp3/z15QwTEouISHEsvj6cSUwyO4aIiJRRWQq6YcD1wJWAUQ5ZptkO4uPjy+P5pIIYhsHhXVEc3hXFX19+g4eXhcZt2xDauQPNu3dmwKhHOHX8BOsX/lbk/e4WC0ZOjpbOFhGpQJpDJyLiHEq7ydg1wBjgRkCfBnKWrPQM9q5bz+KPP2fqPQ+xf9NWbhj9eJELqnj5VeOZud/wyJdTteediEgF8vTWHDoREWdQkn9Bfw+sBsKBWOB+YCrgh3W1y03Ap7a29YBfL3CvVCGGYTB34mR8A6pz7RMPFbp+x2vjCGxYnyYd2tH7rkEmJBQRqZq8fH01z1lExAmUZMjlnUWc+7KYtkeA6y5wr1QxR3bvYeWsufQcPJB18xdyeGcUAL2G3E7bqy5nweQPCe3cgWufeIjty1aQEHvY5MQiIs7N1c0NDy+LFkUREXECGuMmFeL3qdM4k3SSgeOexcXFhYZtWnHDM0+wfdkK/p7xPXMnvk1Odja3vzLW7KgiIk7P09sLQHPoREScgAo6qRDpZ1JY+O5HNG7XhsuHDeGeyRNIPh7P9y9OBODUsRMsem8qYV070XXgjSanFRFxbp4+PgAaciki4gRU0EmF2bBoMXsjNnD9048TEFybb559kbTk5Pzra378mT1rI7lh9BNUD65lYlIREefm5Wst6LQoioiI41NBJxVq3uvvkHLyFD9P/oCDWwvvaffDK5Nwc3dnyBvjaXlZT/yCAs+67lsjgJa9e9D/4eGEdetcUbFFRJyKp7c3ABkq6EREHF5ZNxYXuSjH9sXwyuUDyM3JKfJ6Quxhfn57CgNffJZmXToCcOr4CY7tiyGwYQMCG9TLb5uRmsoHd97Psej9FRFdRMRpWHzyCjoNuRQRcXQq6KTCFVfM5Vnz489s+OUP6rcIo0GrFjRo1YLg0BAObd/JqllzObhtB8kn4nl8xmcMfe8NPrjzfjKLWKnN3dOT7MxMe30bIiIOy+LrC2gOnYiIM1BBJ5VSZloaMRu3ELNxS7Ftvnn2JR7+/EMGvTKWb58bn3/exdWVKx8YSv+H7ycrM4MTBw5xYv9BTsQcYMNvS4g/cKgivgURkUorr4euqF+GiYiIY9EcOnFY+yI28PvUz2l/XX96Dh4IQPXgWjz8xUdc+8RDbFv2DxE//UJK4kkat21Dv0fu57GvPiEguLbJyUVEzOWpIZciIk5DPXTi0P76cgaN27XhxjFP4unjzRX33Y27pwffj5tA5IJfz2ob3DSEJ779nOEfTWbqvQ+RmZZuUmoRcTLXAB8AbsAXwKRi2g0EfgQ6A5G2c22BzwB/INd2ze7/c7L4atsCERFnoR46cWiGYfD9uAmcOnaC6596jMQjR3lv0LBCxRzAsej9fDvmJeo2D+XON8bj4uJiQmIRcTJuwMfAtUAr4E7bn+fyA54E1hY45w58CzwMtAYuB7LsmDWfxbYPnX6xJSLi+FTQicNLS07mi0efZv6b7/HR3SPOO0du179rWPDOR7S96nKufvzBCz73lQ/ey2X3DM5f4ltE5BxdgL1ANJAJzAJuKqLdBOAtzu596w9sATbbvk4Azr9qVDmxeHuTlZ5xwUWqRESk8tOQS3EKx2MOcDzmQInarvh2NsGhIfQbcR/Ho/ez4Zc/imw3YNQj9L1/KABXjRjGiplz+Pe7H8/aDF1Eqrz6QMHfIsUCXc9p0wFoCPwCPFvgfHPAABYDtbAWg2/bLWkBnj7emj8nIuIk1EMnVdL8199l77r1DJ74EpcNHVzoeu+776Dv/UNZNXseH9z1ADEbN3PNYw/y4h/zuPLBe8/73N1uu4nON12Hu8Vir/gi4jhcgfeA0UVccwd6AXfZ/rwFuLKIdiOwzrmLDAoKKpdQFl8fFXQiIk5CBZ1USTnZ2UwfOYbty1Zw07NPMvTd1/MXCWh/bT9ufm4UW5YsY94b73Jwy3b+N/I5Jt96N3vXRnLdyIdp07dPkc/bsncPbh8/lsETX2L80gXcMPoJAhs2qMhvTUQq1mGsvW95GtjO5fED2gDLgf1AN2AB0Alrb94/QDyQCvyKtTfvXNNs7TvFx8eXS2iLjw8ZqdqyQETEGaigkyorIyWVr59+gYXvfESbvpcx6vvpdB90C4Nff4m9ERuYOfYVjNzc/PZxe/bx9ehxHN4ZxcAXn8Hb3++s5/Oq5stt45/j6J59fPrgSKLWRND7rkG88OsPDHlTi7CIOKkIIAxoAngCg7EWbHlOAUFAiO1YA9yItcdtMXAJ4IO1t64PsKMiQlt8vMlUQSci4hRU0EmVt/zr7/j0wZF4+VXjtpfGcDx6P/8bOYbszMxCbXOzc5j98uv41gjgxmdHnnXt+qcfxz8okNkvv8GeNRF888yLTOh/M8u//o6O119Dr7sGVdS3JCIVJxt4HGtxthOYA2wHXsNauJ1PEtbhmBHAJmAD1nl2dmfx8SEjJaUiXkpEROxMi6KIANGRG3l/0DB63HErK2fNJf1M8f/QObwrimXTv+WqEcPY9PtSdq9cQ1jXTnS//WaWTf+WQ9v++wX76fgEFr7zEbUaNWTAqEfYvXJNocVbXFxc6H33HSQdOcrWpX/b7XsUEbv51XYU9HIxbS8/5+tvbUeF8vTx5tTxExX9siIiYgfqoROxST4Rz+9Tp3E6PuGCbZd89j/i9sVw+/jn8AsK5PZXxnJi/0F+/78vimz/w6uTyExN4843XsbV3S3/vKubG4MnvsRNY55k2JRJjJo1nebdu5Tb9yQiUhTNoRMRcR4q6ERKITszkznj36B6cG2e/uFrAhvUZ/b4N8jOyCiy/emERH6c8DaN2rTiygesq2S6eXhwz+QJdLrxWn776DO+HzcB34AAHpr2AY9M/5hGlxS1N7GISNlZfLzJTFNBJyLiDFTQiZTSgc3bWDFzDv5Bgfz73Q/EbNh83vZblixjwy+L6TfiPpq0b8t9H75F235X8NOk9/lz2ldELviVSTfcwbw33qV2k8Y88c00+j88HBdX/WcqIuXL4qs5dCIizkJz6ETK4NcPPuXIrj1s/mNpidrPe+NdQjt14NH//R+4uDD75TdYN39h/vWcrCxWfv8jkT//yq3jnuHqxx4ktEtHvnv+FU4d03wXESk7N3d33D09NeRSRMRJ6Ff/ImWQnZFB5IJfyUoveqjludKSTzPrpQmcSTrJzOfGn1XMFZSRmsr3417juxdeo2HrFoz+8Rta9elVntFFpIry9PEGUEEnIuIkVNCJVLCo1RG8esX1bPr9zwu2Xb/wN94bNIykI3HcP3UyIz59n8bt2lRAShFxVhYfH8C6F6eIiDg+FXQilVz8gUN8ePeDLHpvKvVbhjPy288Z8dkUQtpdYkoei68P3v7+pry2iJSdxdZDl5mqgk5ExBloDp2IA8jJymLZ/2ayctZcegy6lcvvu4snvp3G4V1RbFv6N1v/+pujUfvsnqNZl47cNekVvKpVY9XseSz76lvOJCQVaufq7kZudo7d84jIxfPM66HTkEsREaeggk7EgWSmpbP86+9YNWceXW65nnb9r6TfI/dz9WMPEn8oll0rVhOzYTMxm7bkL6Li5uFB0w7tCO/RlSYd2rFzxSr++vIbcnNKXnC5urnR7+HhXDViGCf2HyRqTQSX3XMHPe64lVWz57F23gLqhIUS2qk9oZ3aE9w0hLXzFjJ34mSM3Fx7/ThEpBS8fG0FnbYtEJFKrEaNGowaNYqQkBBcXFzMjmM3hmGwf/9+pkyZQlJS4V+Sl4SLYRjlHKvsIiMjjc6dO5sdQ8QhVAusQevLe3PJlX1o2rF9/nCqpKNxxB+MpdElrbH4eJOdmcnx/Qep17wZMRs2M3PsKyQdjbvg81cPrsVdk14ltFN71v20iPlvvEtmWjpBjRpw1Yj76Hj91bi6WTdLz0hNZf/GLaScPEWHAVezafFSvnv+VXKysuz6MxDHZRjGeqCT2TkcRXl8Pra+ojfDP3yb9wbdy+GdUeWUTESkfL366qtERkby66+/knMRv4R2NG5ubgwYMICOHTsyfvz4s66V9DNSPXQiDu5MQhJr5y5g7dwFuLq7Ua95GCGXXkKT9m0JbNSAiJ9/Yde/a9gXsYHMtDQ6XH81A8c9y+gfZ/DjhLfZ9Puf1G7SmGZdOtKsS0catArHw8sLD09P3D098fCykJGaynfPv8r6Rb/nv278wVhmvTiBPz//irCunTi8czexO3fnD7WM3bGbG58diXc1X7566nky09LN+hGJSAEWrXIpIg4gJCSE1157zamLOYCcnBx++eUXBg4cWOrnUEEn4kRys3OI3bGL2B27+Pe7H4pss2HRYvZv2spdb77CPZMncOu4Z/ANqA5A4pGjHNi0lbQzKWRnZpKdmUlWWjobfltC/IFDRT5f/IFDRV77e8b3pCWf5vZXxjLisw/48vFnSEs+XX7frIiUSt4cukwVdCJSibm4uDh9MZcnJyenTMNKVdCJVEGJsUf4eNgj9Ln3TuqENiV6/Ub2rFtPYuyRcn2ddT8tIu3MGe5+61WemfsNf077mnU/LdIQTBETeWnbAhGRC6pevTpDhgzhk08+uaj7fvnlF4YMGcKpU6fslKwwbVsgUkXl5uSwbPq3fD/uNdbOW1juxVyerX8u55Phj5N09Bi3vTyG53+ZQ/fbb8HNw8Muryci55e3sXhmuoZBi4gUJyAggEcffbTQeTfbugHFGTBgQIUWc6CCTkQqwP7NW5k69CE+GzGSk3HHue3lMYz56Tt8qle+/excXF3xrRFgdgwRu7H4+JCRmqYVaEVEzmPSpEmEhoayceNG1q1bxz///MPPP//Mjh07AJg/fz6RkZFs27aNBx98MP++mJgYAgMDady4MTt27GDatGls27aNxYsX4+XlZZesGnIpIhUmanUEUasjaNm7B/d9+BbXPfkIP772Vonudff0pNElrUg7fYYziUmknDxJbnYOFh8fgho3oFbjRgQ1bkj8/oNsXrKsVP9YdfPw4P6P3qZJh0v54K4HiNtj/739RCqaxdeHDG0qLiIO5KYxo6jXIqxcn/PIrj38/PaUYq+PHTuWNm3a0L59e/r06cMvv/xCmzZt2L9/PwDDhw8nKSkJLy8vIiIimDt3LomJiWc9R1hYGHfeeScjRoxg9uzZDBw4kJkzZ5br9wEq6ETEBDtXrGLFzDlcds9g1s5byKFtO87bvnpwLYZ/OJkGrcLPOp9+JgWvar6F2l+1Zx+LP/6crUv/LnEmF1dXhrw5nvCe3Ug7fYah70xkyuD7TFud079WEIMnvsjRqH38+sEn5GRnm5JDnI/Fx1sLooiIXKR169blF3MAI0eO5JZbbgGgYcOGhIWFsXbt2rPuiYmJYfPmzQCsX7+ekJAQu2RTQScipvjjky9pf20/Br74DB8MeaDYHrVGl7Tivg/ewtPbm1kvTSQjJRXfGgH41ayBT0B1kk/Ec2L/QU4cOERC7GFa9enFNY89yLApkzi0Yxdrf1yAX1BNajVuSFDjhlSvVYuNvy3hz8+/OmvVzYEvPsulV1/JgskfcmT3HkZM+4Bbnh/N7Jdfr6gfSb564WHc//E7+AZUJ7xHVxq3a8OMZ14k+fiJCs8izsfTx1s9dCLiUM7Xk1ZRUlJS8h/36dOHq666iu7du5OWlsayZcuKHE6ZkZGR/zgnJwdvb2+7ZFNBJyKmyEhJZcHkD7ln8gS6DbyJ1T/ML9Sm/XX9ueO1F0g+Ec+nD47k2L6YCz7v5sVL2frnctpf15+rH72f214eQ25uLiePHuPEgYMkn4jnsqGD6XzzAJZ8Op1Vs+fR/9EH6H77zfz5+df8PeN7AJZ+/jX9HrqPPesi2bBocf7zu7i60qbvZTS6pBWBDerbjnpkZ2Xx94zvWfn9XDLTzu798K0RwCVXXc6JmAPsi9x43vwte/fgnncmkHoqmQ+G3E9wkxAGvfYCT8/5im+efYl9ERtK8NMVKZ7Fx0c9dCIiF3D69Gn8/PyKvFa9enWSkpJIS0sjPDycbt26VXC6s6mgExHTbPr9T7rddhPXPfkwW/5cRkrSSQACgmtzxf330OvO29gXuZGvn3qelJMlXzEqNyeH9Qt/Y+Nvf1CzXl1Oxh0nOzMz/3rd5s248ZknuHnsU/S9/x78awWxas58fvvw0/w2f3zyJU07XcptL43h4NYdJB4+Qsfrr+HK+4dSK6QR2ZmZJB4+SkLsYfZv3kpQwwZc/9RjXH7vEJZ/NZNVc+YTcmlbut56A62v6I27bVXPzX/8xYLJH3Iy7thZmV1cXel1523c+OxIDu+K4svHn+V0fAJHo/ZxJGovw6ZM4uHPP2T9ot9xcXHF298PH38/srOy+OGVSSTEHi7LX4VUIRYfH1IqeAU2ERFHk5iYyMqVK9m6dStpaWkcO/bf5/bvv//Oww8/zI4dO9i9ezdr1qwxMSm4GIZhaoCiREZGGp07dzY7hohUgOCmIYz+8RsiF/zKyllz6XPvnVx69VXgAmt+/Jmf35pit/lj4T27ce3IhzgatZc5498sNOyzenAtRv8wg5STp3C3eFKzXl1id+zmz8+/Yttf/xRq36hta65+5AFa9OpGbk4Orm5upCSdJHLhb6xf+DstL+vBlQ/cC8Cfn3/F+gW/Edq5Ay16dye8R1d8A6qzdenffPf8K4Xm7ll8fLj1xWdo1acn6adTSD2VTFryaRq0bkHc3mg+HvaIQ65aaBjGeqCT2TkcRXl8Pj7703cc2xfDjNHjyimViEj5mzFjBkOHDjU7RoUp6vst6WekeuhExFTHovfzzzezuGL43XQdeCPpKSn8O+tHVnw7m6QjcXZ97d0r17B7ZfG/VTt17ATfvziR4R++xYEt25k74W12/Vt8+4NbtvP5I0/RuF0b2l/bj+gNm9m+bEX+RuqHd0WxfuHv3PDME1w38mGuG/kwAKcTEtnx90p2/LOSrX8uL7Iwy0hN5fsXXit0vv11/bn7rVe54r67+OvLbwpdb9WnFzXqBrNy1twL/jykarBoDp2IiFNRQScipvvj0+kE1A3m8M7drP7xZ9JPnzE7Ur6d/6zk5cuuPWsBlQs5sHkbBzZvK/Ja0tE4ZoweR1jXTtRvGc7edZEc3hlFaUdLbPz1D9r0vYyrH3uQnStWczRqb/61rgNv5LaXn8PV1ZX0lFTWL/ztgs8XUCeY4KYhJB2N43jMgVJlksrN4utDRooKOhERZ6GCTkRMl5mWxrdjXjY7RrEuppgrqT1rI9mzNrJcnmvexMk07dCOIW+OZ8rg4eRkZXHZ0MHc9OyT7PhnJZ5eXtz20hiO7I7iaNTZe+t5entxzRMP0bRDO2o3aYzFxweArIwMPn/4qQsu4iKOx+Jt3VhcREScg6vZAUREpGxSTp5izvg3qde8Gdc+PoL+j9zPTc8+yabFS/nqybF8M+Yl0k6fZtj7k/Dyq5Z/n3/tWjz61Sf0vmsQacmnWTtvIT++9jafjRhJQuwRhn9UeO8/cWxuHh64ebhrlUsRESeiHjoRESewc8UqVv/4E1cMvxuAdfMXMecV60IvZxKSmDH6RR6d/jF3TnyR/z05lgatWjD8o7ex+Pow/fFn2bli1VnPN+2hJ3l8xmc8+Mn7fDzsEQ2/dBJevtYeWM2hExFxHuqhExFxEgve/pCYjVtYNv1b5ox/46zFVfZv2sLC96bSpm8f7n77NR7/+lNysrL56O4RhYo5sC4I89mIJzEMgxGfTSGgTnBFfitiJ54+1k1tVdCJiDgPFXQiIk4iMy2NqUMfYtH7Hxe5yMqKb2ezafFS2l/bj9idu/lgyP3E7Y0u9vniDxxi2kOj8KpWjYemfUDtJo3tGV8qQN4cSc2hExE5v+rVq/PII4+U6t4nn3wSb2/vck5UPBV0IiJVyOyXJvLtmJf55P7HOZOYdMH2R3bv4cvHRuNbI4Cn53zNZUMH4+Kqjw5HlddDl6keOhGR8woICODRRx8t1b2jRo3Cx/YLtIqgOXQiIlVIZlo6G39bclH3xGzcwuSbh3Db+Oe46dknuaRvH2a9OJGE2MN2Sin2kj+HTtsWiIic16RJkwgNDWXjxo0sWbKE48ePM2jQICwWC/Pnz+eVV17Bx8eHOXPm0KBBA9zc3JgwYQLBwcHUq1ePZcuWER8fT9++fe2eVQWdiIhc0OmERP438jk63XgdNz83itFzv2HuxMkl2ttOKg9Pbw25FBHH8/77D9Du0qbl+pybN0Xz1FNfFHt97NixtGnThvbt29OvXz9uu+02unTpgouLCwsWLKB3797UqlWLI0eOcP311wPg7+9PcnIyTz/9NFdccQUJCQnlmrk4GjcjIiIlFrngVybfehfRGzaRknThIZtSuaQlJ7N71VpST54yO4qIiMPo378//fv3Z+PGjWzYsIEWLVoQFhbG1q1b6devH5MmTaJXr14kJyebkk89dCIiclFOHTvBF488bXYMKYV9kRu1WbyIOJzz9aRVBBcXF958802mTZtW6FqHDh247rrrmDhxIkuXLmXChAkVnk89dCIiIiIiIgWcPn0aPz8/ABYvXszw4cPx9fUFoF69etSqVYu6deuSmprKzJkzmTx5Mh06dCh0b0UoSQ/ddOB64DjQxnZuMnADkAnsA+4DThZx7zXAB4Ab8AUwqYx5RURERERE7CoxMZGVK1eydetWfvvtN7777jtWr14NwJkzZ7j77rtp1qwZkydPJjc3l6ysrPxtDqZNm8bvv//OkSNHKmRRFAzDuNBxmWEYHQzD2FbgXH/DMNxtj9+yHefe52YYxj7DMJoahuFpGMZmwzBaleD1iIiIMAAdOnTo0OHkh2EYkSX5XNChz0cdOnRUrWPGjBmmZzD7+y3pZ2RJhlz+AySec+4PINv2eA3QoIj7ugB7gWisPXmzgJtK8HoiIiIiIiJSAuUxh244UNS61fWBQwW+jrWdExERERERkXJQ1lUux2HtqZtZDllG2A6CgoLK4elEREREREScW1kKumFYF0u5Eus4z3MdBhoW+LqB7VxxptkO4uPji3o+ERERERGpAgzDwM3NjZycHLOj2J2bmxuGUfryp7RDLq8BxgA3AqnFtIkAwoAmgCcwGFhQytcTEREREZEqYv/+/QwYMAA3Nzezo9iVm5sbAwYMYP/+/aV+jpL00H0PXA4EYZ0HNx54HrAAS2xt1gAPA/Wwbk9wHdahmI8Di7FuWzAd2F7qpCIiIiIiUiVMmTKFUaPO7fSRAAAGT0lEQVRGMXDgQFxcXMyOYzeGYbB//36mTJlS6udwKUv3nr1ERkYanTt3NjuGiIjYmWEY64FOZudwFPp8FBGpOkr6GVkeq1yKiIiIiIiICVTQiYiIiIiIOCgVdCIiIiIiIg6qUs6hA04AB8r4HEFAfDlkqQjKaj+OlFdZ7cORsoJj5S2PrI2BWuWQpaqoap+P4Fh5ldU+HCkrOFZeZbWP8spaos/IylrQlYdIHGeivbLajyPlVVb7cKSs4Fh5HSmr/MfR/t4cKa+y2ocjZQXHyqus9lGhWTXkUkRERERExEGpoBMREREREXFQbq+88orZGexpvdkBLoKy2o8j5VVW+3CkrOBYeR0pq/zH0f7eHCmvstqHI2UFx8qrrPZRYVmdeQ6diIiIiIiIU9OQSxEREREREQfljAXdNcBuYC8w1uQsRZkOHAe2FThXE1gC7LH9WcOEXEVpCCwDdgDbgSdt5ytjXi9gHbAZa9ZXbeebAGuxvh9mA56mpCuaG7ARWGT7ujJn3Q9sBTZhXbkJKuf7ACAA+BHYBewEulM5s4Zj/XnmHcnAKCpnVoCnsP63tQ34Hut/c5X5PStFq8yfkfp8tB99RtrPfvT5aA/6jLwIzlbQuQEfA9cCrYA7bX9WJl9h/UAtaCywFAiz/VlZPmSzgdFYf4bdgMdsjytj3gygL9AOuBTrz7gb8BbwPtAMSALuNytgEZ7E+j/UPJU5K8AVWH+2ecvwVsb3AcAHwO9AC6zvh51Uzqy7sf48LwU6AqnAfCpn1vrASKx/922w/r92MJX/PStnq+yfkV+hz0d70WekfenzsfzpM/JiGIbhTEd3wzAWF/j6edthdq5zjxDDMLYV+Hq3YRh1bY/r2r42O2NRx8+GYfRzgLw+hmFsMAyjq2EY8YZhuBtFvz/MPBoYhrHUMIy+hmEsMgzDpRJnxTCM/YZhBJ1zrjK+D6obhhFj+3lW9qwFj/6GYaysxFnrG4ZxyDCMmob1PbrIMIyrjcr9ntVR+HCEz8gQQ5+P9j70GVm+x35Dn4/2PvQZeYHD2Xro6gOHCnwdaztX2QUDR22P42xfVzYhQHusXceVNa8b1m7541i74fcBJ7H+JhUq1/thCjAGyLV9HUjlzQpgAH9gXbFphO1cZXwfNAFOAP/DOlTnC8CXypm1oMFYh2hA5cx6+P/bu3fWKKIwDuOPV/AGXotIkJjGzsIiTYIEvIAi2ogXFIJgZ2ujjSjYiWBlo4WFF7yh+QCmsBJBv4GXoKAWgoKViBbvDFl2I27hsO+ZPD8I7M42L5sz859z8s4JcAWYJWr7RoyFzGNWvUrMyIznQ7cR8ucjmJFNMR+bZ0b+Q9smdG3wu/rJZDXwiOhd/t71WaZ6fxF/mh8GxoiWgowOEIFa0ta7E8AOolXrDLCz6/Ms42ApUed14gbrB73tGFlqrS0HDgIP5vksS63rgEPEDcFm4iaguzVOalqW86FTKfkIZmRTzMdmmZF9aNuE7iPxoHJtuDqW3WdgqHo9RFzIslhGhNVt4HF1LHO9ECsiM8TDvmuJixjkGQ/jxMXpHXCPeK7hGjlrrdW1fCF62MfIOQ4+VD8vqvcPiQDLWGttH/CKqBFy1robeEus7v4krgXj5B6z6lViRmY8H2ol5iOYkf+b+dgsM7IPbZvQvSQektxKzOiPAdMDrag/08BU9XoKeDrAWjotAm4SD81e7Tiesd5NxIkDsALYQ9Q9Axyujmep9RxxYo8QY/QZcIKctUKsNK3peL2X2MUp4zj4RLSUbave7yJ2octYa+04c60kkLPWWWIDhZXEdaH+XrOOWc2vxIzMeD5AWfkIZmRTzMfmmZF9aOM/Ft9P9F4vIbZAvjzYcnrcBSaBjcQqwwXgCXAf2AK8B44AXwdUX6cJ4DmxHW/dx36eWN3JVu924Bbxe19M1HcJGCVW+NYTPeMnid2+spgEzhItJllrHSVWHSFWmu4Q59UG8o0DiJaiG8QN6xvgFHNjIlutq4ggGCV67iHv93oROEo8D/AaOE08D5BxzOrvMmek+dgcM7IZ5mOzzMg+tXFCJ0mSJEkLQttaLiVJkiRpwXBCJ0mSJEmFckInSZIkSYVyQidJkiRJhXJCJ0mSJEmFckInSZIkSYVyQidJkiRJhXJCJ0mSJEmF+gOxqBhtopqt4QAAAABJRU5ErkJggg==\n",
"text/plain": [
"<Figure size 1080x432 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(15, 6))\n",
"plt.subplot(121)\n",
"plt.plot(losses)\n",
"\n",
"plt.subplot(122)\n",
"plt.plot(train_accs, label=\"train\")\n",
"plt.plot(test_accs, label=\"test\")\n",
"plt.legend(loc=4)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"---\n",
"# Weakly-supervised localization"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"INFO:tensorflow:Restoring parameters from fe_challenge/fe_cnn-localizer-400\n"
]
}
],
"source": [
"saver.restore(sess, \"fe_challenge/fe_cnn-localizer-400\")"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[u'WSL_LOGIT/weights/Initializer/random_uniform/shape',\n",
" u'WSL_LOGIT/weights/Initializer/random_uniform/min',\n",
" u'WSL_LOGIT/weights/Initializer/random_uniform/max',\n",
" u'WSL_LOGIT/weights/Initializer/random_uniform/RandomUniform',\n",
" u'WSL_LOGIT/weights/Initializer/random_uniform/sub',\n",
" u'WSL_LOGIT/weights/Initializer/random_uniform/mul',\n",
" u'WSL_LOGIT/weights/Initializer/random_uniform',\n",
" u'WSL_LOGIT/weights',\n",
" u'WSL_LOGIT/weights/Assign',\n",
" u'WSL_LOGIT/weights/read',\n",
" u'WSL_LOGIT/biases/Initializer/zeros',\n",
" u'WSL_LOGIT/biases',\n",
" u'WSL_LOGIT/biases/Assign',\n",
" u'WSL_LOGIT/biases/read',\n",
" u'WSL_LOGIT/MatMul',\n",
" u'WSL_LOGIT/BiasAdd',\n",
" u'WSL_LOGIT/Softmax',\n",
" u'LOSS_WSL/labels_stop_gradient',\n",
" u'LOSS_WSL/xentropy/Rank',\n",
" u'LOSS_WSL/xentropy/Shape',\n",
" u'LOSS_WSL/xentropy/Rank_1',\n",
" u'LOSS_WSL/xentropy/Shape_1',\n",
" u'LOSS_WSL/xentropy/Sub/y',\n",
" u'LOSS_WSL/xentropy/Sub',\n",
" u'LOSS_WSL/xentropy/Slice/begin',\n",
" u'LOSS_WSL/xentropy/Slice/size',\n",
" u'LOSS_WSL/xentropy/Slice',\n",
" u'LOSS_WSL/xentropy/concat/values_0',\n",
" u'LOSS_WSL/xentropy/concat/axis',\n",
" u'LOSS_WSL/xentropy/concat',\n",
" u'LOSS_WSL/xentropy/Reshape',\n",
" u'LOSS_WSL/xentropy/Rank_2',\n",
" u'LOSS_WSL/xentropy/Shape_2',\n",
" u'LOSS_WSL/xentropy/Sub_1/y',\n",
" u'LOSS_WSL/xentropy/Sub_1',\n",
" u'LOSS_WSL/xentropy/Slice_1/begin',\n",
" u'LOSS_WSL/xentropy/Slice_1/size',\n",
" u'LOSS_WSL/xentropy/Slice_1',\n",
" u'LOSS_WSL/xentropy/concat_1/values_0',\n",
" u'LOSS_WSL/xentropy/concat_1/axis',\n",
" u'LOSS_WSL/xentropy/concat_1',\n",
" u'LOSS_WSL/xentropy/Reshape_1',\n",
" u'LOSS_WSL/xentropy',\n",
" u'LOSS_WSL/xentropy/Sub_2/y',\n",
" u'LOSS_WSL/xentropy/Sub_2',\n",
" u'LOSS_WSL/xentropy/Slice_2/begin',\n",
" u'LOSS_WSL/xentropy/Slice_2/size',\n",
" u'LOSS_WSL/xentropy/Slice_2',\n",
" u'LOSS_WSL/xentropy/Reshape_2',\n",
" u'LOSS_WSL/assert_broadcastable/weights/shape',\n",
" u'LOSS_WSL/assert_broadcastable/weights/rank',\n",
" u'LOSS_WSL/assert_broadcastable/values/shape',\n",
" u'LOSS_WSL/assert_broadcastable/values/rank',\n",
" u'LOSS_WSL/assert_broadcastable/is_scalar/x',\n",
" u'LOSS_WSL/assert_broadcastable/is_scalar',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/Switch',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/switch_t',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/switch_f',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/pred_id',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/Switch_1',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/is_same_rank',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/is_same_rank/Switch',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/is_same_rank/Switch_1',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/Switch',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/switch_t',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/switch_f',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/pred_id',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/has_invalid_dims/ExpandDims/dim',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/has_invalid_dims/ExpandDims',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/has_invalid_dims/ExpandDims/Switch',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/has_invalid_dims/ExpandDims/Switch_1',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/has_invalid_dims/ones_like/Shape',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/has_invalid_dims/ones_like/Const',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/has_invalid_dims/ones_like',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/has_invalid_dims/concat/axis',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/has_invalid_dims/concat',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/has_invalid_dims/ExpandDims_1/dim',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/has_invalid_dims/ExpandDims_1',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/has_invalid_dims/ExpandDims_1/Switch',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/has_invalid_dims/ExpandDims_1/Switch_1',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/has_invalid_dims/DenseToDenseSetOperation',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/has_invalid_dims/num_invalid_dims',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/has_invalid_dims/x',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/has_invalid_dims',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/Switch_1',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/Merge',\n",
" u'LOSS_WSL/assert_broadcastable/is_valid_shape/Merge',\n",
" u'LOSS_WSL/assert_broadcastable/Const',\n",
" u'LOSS_WSL/assert_broadcastable/Const_1',\n",
" u'LOSS_WSL/assert_broadcastable/Const_2',\n",
" u'LOSS_WSL/assert_broadcastable/Const_3',\n",
" u'LOSS_WSL/assert_broadcastable/Const_4',\n",
" u'LOSS_WSL/assert_broadcastable/Const_5',\n",
" u'LOSS_WSL/assert_broadcastable/AssertGuard/Switch',\n",
" u'LOSS_WSL/assert_broadcastable/AssertGuard/switch_t',\n",
" u'LOSS_WSL/assert_broadcastable/AssertGuard/switch_f',\n",
" u'LOSS_WSL/assert_broadcastable/AssertGuard/pred_id',\n",
" u'LOSS_WSL/assert_broadcastable/AssertGuard/NoOp',\n",
" u'LOSS_WSL/assert_broadcastable/AssertGuard/control_dependency',\n",
" u'LOSS_WSL/assert_broadcastable/AssertGuard/Assert/data_0',\n",
" u'LOSS_WSL/assert_broadcastable/AssertGuard/Assert/data_1',\n",
" u'LOSS_WSL/assert_broadcastable/AssertGuard/Assert/data_2',\n",
" u'LOSS_WSL/assert_broadcastable/AssertGuard/Assert/data_4',\n",
" u'LOSS_WSL/assert_broadcastable/AssertGuard/Assert/data_5',\n",
" u'LOSS_WSL/assert_broadcastable/AssertGuard/Assert/data_7',\n",
" u'LOSS_WSL/assert_broadcastable/AssertGuard/Assert',\n",
" u'LOSS_WSL/assert_broadcastable/AssertGuard/Assert/Switch',\n",
" u'LOSS_WSL/assert_broadcastable/AssertGuard/Assert/Switch_1',\n",
" u'LOSS_WSL/assert_broadcastable/AssertGuard/Assert/Switch_2',\n",
" u'LOSS_WSL/assert_broadcastable/AssertGuard/Assert/Switch_3',\n",
" u'LOSS_WSL/assert_broadcastable/AssertGuard/control_dependency_1',\n",
" u'LOSS_WSL/assert_broadcastable/AssertGuard/Merge',\n",
" u'LOSS_WSL/Mul',\n",
" u'LOSS_WSL/Const',\n",
" u'LOSS_WSL/Sum',\n",
" u'LOSS_WSL/num_present/Equal/y',\n",
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" u'LOSS_WSL/num_present/ones_like',\n",
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" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/weights/rank',\n",
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" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/has_invalid_dims/DenseToDenseSetOperation',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/has_invalid_dims/num_invalid_dims',\n",
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" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/has_invalid_dims',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/Switch_1',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/Merge',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/is_valid_shape/Merge',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/Const',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/Const_1',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/Const_2',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/Const_3',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/Const_4',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/Const_5',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/AssertGuard/Switch',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/AssertGuard/switch_t',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/AssertGuard/switch_f',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/AssertGuard/pred_id',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/AssertGuard/NoOp',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/AssertGuard/control_dependency',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/AssertGuard/Assert/data_0',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/AssertGuard/Assert/data_1',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/AssertGuard/Assert/data_2',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/AssertGuard/Assert/data_4',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/AssertGuard/Assert/data_5',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/AssertGuard/Assert/data_7',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/AssertGuard/Assert',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/AssertGuard/Assert/Switch',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/AssertGuard/Assert/Switch_1',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/AssertGuard/Assert/Switch_2',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/AssertGuard/Assert/Switch_3',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/AssertGuard/control_dependency_1',\n",
" u'LOSS_WSL/num_present/broadcast_weights/assert_broadcastable/AssertGuard/Merge',\n",
" u'LOSS_WSL/num_present/broadcast_weights/ones_like/Shape',\n",
" u'LOSS_WSL/num_present/broadcast_weights/ones_like/Const',\n",
" u'LOSS_WSL/num_present/broadcast_weights/ones_like',\n",
" u'LOSS_WSL/num_present/broadcast_weights',\n",
" u'LOSS_WSL/num_present/Const',\n",
" u'LOSS_WSL/num_present',\n",
" u'LOSS_WSL/Const_1',\n",
" u'LOSS_WSL/Sum_1',\n",
" u'LOSS_WSL/Greater/y',\n",
" u'LOSS_WSL/Greater',\n",
" u'LOSS_WSL/Equal/y',\n",
" u'LOSS_WSL/Equal',\n",
" u'LOSS_WSL/ones_like/Shape',\n",
" u'LOSS_WSL/ones_like/Const',\n",
" u'LOSS_WSL/ones_like',\n",
" u'LOSS_WSL/Select',\n",
" u'LOSS_WSL/div',\n",
" u'LOSS_WSL/zeros_like',\n",
" u'LOSS_WSL/value',\n",
" u'gradients/LOSS_WSL/value_grad/zeros_like',\n",
" u'gradients/LOSS_WSL/value_grad/Select',\n",
" u'gradients/LOSS_WSL/value_grad/Select_1',\n",
" u'gradients/LOSS_WSL/value_grad/tuple/group_deps',\n",
" u'gradients/LOSS_WSL/value_grad/tuple/control_dependency',\n",
" u'gradients/LOSS_WSL/value_grad/tuple/control_dependency_1',\n",
" u'gradients/LOSS_WSL/div_grad/Shape',\n",
" u'gradients/LOSS_WSL/div_grad/Shape_1',\n",
" u'gradients/LOSS_WSL/div_grad/BroadcastGradientArgs',\n",
" u'gradients/LOSS_WSL/div_grad/RealDiv',\n",
" u'gradients/LOSS_WSL/div_grad/Sum',\n",
" u'gradients/LOSS_WSL/div_grad/Reshape',\n",
" u'gradients/LOSS_WSL/div_grad/Neg',\n",
" u'gradients/LOSS_WSL/div_grad/RealDiv_1',\n",
" u'gradients/LOSS_WSL/div_grad/RealDiv_2',\n",
" u'gradients/LOSS_WSL/div_grad/mul',\n",
" u'gradients/LOSS_WSL/div_grad/Sum_1',\n",
" u'gradients/LOSS_WSL/div_grad/Reshape_1',\n",
" u'gradients/LOSS_WSL/div_grad/tuple/group_deps',\n",
" u'gradients/LOSS_WSL/div_grad/tuple/control_dependency',\n",
" u'gradients/LOSS_WSL/div_grad/tuple/control_dependency_1',\n",
" u'gradients/LOSS_WSL/Sum_1_grad/Reshape/shape',\n",
" u'gradients/LOSS_WSL/Sum_1_grad/Reshape',\n",
" u'gradients/LOSS_WSL/Sum_1_grad/Const',\n",
" u'gradients/LOSS_WSL/Sum_1_grad/Tile',\n",
" u'gradients/LOSS_WSL/Select_grad/zeros_like',\n",
" u'gradients/LOSS_WSL/Select_grad/Select',\n",
" u'gradients/LOSS_WSL/Select_grad/Select_1',\n",
" u'gradients/LOSS_WSL/Select_grad/tuple/group_deps',\n",
" u'gradients/LOSS_WSL/Select_grad/tuple/control_dependency',\n",
" u'gradients/LOSS_WSL/Select_grad/tuple/control_dependency_1',\n",
" u'gradients/LOSS_WSL/Sum_grad/Reshape/shape',\n",
" u'gradients/LOSS_WSL/Sum_grad/Reshape',\n",
" u'gradients/LOSS_WSL/Sum_grad/Shape',\n",
" u'gradients/LOSS_WSL/Sum_grad/Tile',\n",
" u'gradients/LOSS_WSL/Mul_grad/Shape',\n",
" u'gradients/LOSS_WSL/Mul_grad/Shape_1',\n",
" u'gradients/LOSS_WSL/Mul_grad/BroadcastGradientArgs',\n",
" u'gradients/LOSS_WSL/Mul_grad/Mul',\n",
" u'gradients/LOSS_WSL/Mul_grad/Sum',\n",
" u'gradients/LOSS_WSL/Mul_grad/Reshape',\n",
" u'gradients/LOSS_WSL/Mul_grad/Mul_1',\n",
" u'gradients/LOSS_WSL/Mul_grad/Sum_1',\n",
" u'gradients/LOSS_WSL/Mul_grad/Reshape_1',\n",
" u'gradients/LOSS_WSL/Mul_grad/tuple/group_deps',\n",
" u'gradients/LOSS_WSL/Mul_grad/tuple/control_dependency',\n",
" u'gradients/LOSS_WSL/Mul_grad/tuple/control_dependency_1',\n",
" u'gradients/LOSS_WSL/num_present_grad/Reshape/shape',\n",
" u'gradients/LOSS_WSL/num_present_grad/Reshape',\n",
" u'gradients/LOSS_WSL/num_present_grad/Shape',\n",
" u'gradients/LOSS_WSL/num_present_grad/Tile',\n",
" u'gradients/LOSS_WSL/num_present/broadcast_weights_grad/Shape',\n",
" u'gradients/LOSS_WSL/num_present/broadcast_weights_grad/Shape_1',\n",
" u'gradients/LOSS_WSL/num_present/broadcast_weights_grad/BroadcastGradientArgs',\n",
" u'gradients/LOSS_WSL/num_present/broadcast_weights_grad/Mul',\n",
" u'gradients/LOSS_WSL/num_present/broadcast_weights_grad/Sum',\n",
" u'gradients/LOSS_WSL/num_present/broadcast_weights_grad/Reshape',\n",
" u'gradients/LOSS_WSL/num_present/broadcast_weights_grad/Mul_1',\n",
" u'gradients/LOSS_WSL/num_present/broadcast_weights_grad/Sum_1',\n",
" u'gradients/LOSS_WSL/num_present/broadcast_weights_grad/Reshape_1',\n",
" u'gradients/LOSS_WSL/num_present/broadcast_weights_grad/tuple/group_deps',\n",
" u'gradients/LOSS_WSL/num_present/broadcast_weights_grad/tuple/control_dependency',\n",
" u'gradients/LOSS_WSL/num_present/broadcast_weights_grad/tuple/control_dependency_1',\n",
" u'gradients/LOSS_WSL/num_present/broadcast_weights/ones_like_grad/Const',\n",
" u'gradients/LOSS_WSL/num_present/broadcast_weights/ones_like_grad/Sum',\n",
" u'gradients/LOSS_WSL/xentropy/Reshape_2_grad/Shape',\n",
" u'gradients/LOSS_WSL/xentropy/Reshape_2_grad/Reshape',\n",
" u'gradients/LOSS_WSL/xentropy_grad/ExpandDims/dim',\n",
" u'gradients/LOSS_WSL/xentropy_grad/ExpandDims',\n",
" u'gradients/LOSS_WSL/xentropy_grad/mul',\n",
" u'gradients/LOSS_WSL/xentropy_grad/LogSoftmax',\n",
" u'gradients/LOSS_WSL/xentropy_grad/Neg',\n",
" u'gradients/LOSS_WSL/xentropy_grad/ExpandDims_1/dim',\n",
" u'gradients/LOSS_WSL/xentropy_grad/ExpandDims_1',\n",
" u'gradients/LOSS_WSL/xentropy_grad/mul_1',\n",
" u'gradients/LOSS_WSL/xentropy_grad/tuple/group_deps',\n",
" u'gradients/LOSS_WSL/xentropy_grad/tuple/control_dependency',\n",
" u'gradients/LOSS_WSL/xentropy_grad/tuple/control_dependency_1',\n",
" u'gradients/LOSS_WSL/xentropy/Reshape_grad/Shape',\n",
" u'gradients/LOSS_WSL/xentropy/Reshape_grad/Reshape',\n",
" u'gradients/WSL_LOGIT/Softmax_grad/mul',\n",
" u'gradients/WSL_LOGIT/Softmax_grad/Sum/reduction_indices',\n",
" u'gradients/WSL_LOGIT/Softmax_grad/Sum',\n",
" u'gradients/WSL_LOGIT/Softmax_grad/Reshape/shape',\n",
" u'gradients/WSL_LOGIT/Softmax_grad/Reshape',\n",
" u'gradients/WSL_LOGIT/Softmax_grad/sub',\n",
" u'gradients/WSL_LOGIT/Softmax_grad/mul_1',\n",
" u'gradients/WSL_LOGIT/BiasAdd_grad/BiasAddGrad',\n",
" u'gradients/WSL_LOGIT/BiasAdd_grad/tuple/group_deps',\n",
" u'gradients/WSL_LOGIT/BiasAdd_grad/tuple/control_dependency',\n",
" u'gradients/WSL_LOGIT/BiasAdd_grad/tuple/control_dependency_1',\n",
" u'gradients/WSL_LOGIT/MatMul_grad/MatMul',\n",
" u'gradients/WSL_LOGIT/MatMul_grad/MatMul_1',\n",
" u'gradients/WSL_LOGIT/MatMul_grad/tuple/group_deps',\n",
" u'gradients/WSL_LOGIT/MatMul_grad/tuple/control_dependency',\n",
" u'gradients/WSL_LOGIT/MatMul_grad/tuple/control_dependency_1',\n",
" u'WSL_LOGIT/weights/Adam_wsl/Initializer/zeros/shape_as_tensor',\n",
" u'WSL_LOGIT/weights/Adam_wsl/Initializer/zeros/Const',\n",
" u'WSL_LOGIT/weights/Adam_wsl/Initializer/zeros',\n",
" u'WSL_LOGIT/weights/Adam_wsl',\n",
" u'WSL_LOGIT/weights/Adam_wsl/Assign',\n",
" u'WSL_LOGIT/weights/Adam_wsl/read',\n",
" u'WSL_LOGIT/weights/Adam_wsl_1/Initializer/zeros/shape_as_tensor',\n",
" u'WSL_LOGIT/weights/Adam_wsl_1/Initializer/zeros/Const',\n",
" u'WSL_LOGIT/weights/Adam_wsl_1/Initializer/zeros',\n",
" u'WSL_LOGIT/weights/Adam_wsl_1',\n",
" u'WSL_LOGIT/weights/Adam_wsl_1/Assign',\n",
" u'WSL_LOGIT/weights/Adam_wsl_1/read',\n",
" u'WSL_LOGIT/biases/Adam_wsl/Initializer/zeros',\n",
" u'WSL_LOGIT/biases/Adam_wsl',\n",
" u'WSL_LOGIT/biases/Adam_wsl/Assign',\n",
" u'WSL_LOGIT/biases/Adam_wsl/read',\n",
" u'WSL_LOGIT/biases/Adam_wsl_1/Initializer/zeros',\n",
" u'WSL_LOGIT/biases/Adam_wsl_1',\n",
" u'WSL_LOGIT/biases/Adam_wsl_1/Assign',\n",
" u'WSL_LOGIT/biases/Adam_wsl_1/read',\n",
" u'Adam_wsl/update_WSL_LOGIT/weights/ApplyAdam',\n",
" u'Adam_wsl/update_WSL_LOGIT/biases/ApplyAdam']"
]
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"[n.name for n in tf.get_default_graph().as_graph_def().node if \"WSL\" in n.name]"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [],
"source": [
"cam_weights = graph.get_tensor_by_name(\"WSL_LOGIT/weights:0\")\n",
"cam_bias = graph.get_tensor_by_name(\"WSL_LOGIT/biases:0\")\n",
"# conv_last : Class Activation Maps (CAM; total 024 maps)\n",
"# cam_weights : weights for each CAM"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {},
"outputs": [],
"source": [
"from skimage.transform import resize\n",
"\n",
"def cam_upscaler(cam, cam_w, pred_):\n",
" cam = cam.reshape(-1, 1024).dot(cam_w)[:, pred_].reshape(24, 24)\n",
" cam = (cam - cam.min()) / (cam.max() - cam.min())\n",
" return resize(cam, (48, 48))\n",
" \n",
"def cam_localizer(chosen_sample, true_label):\n",
" # Class Activation Maps (CAM)\n",
" cam, cam_w, scores = sess.run([conv_last, cam_weights, logit], \n",
" feed_dict={X: whiten(chosen_sample.reshape(-1, 2304)), \n",
" is_training: False})\n",
" pred2, pred1 = np.argsort(scores[0])[-2:]\n",
" #print scores\n",
" cam1 = cam_upscaler(cam, cam_w, pred1)\n",
" cam2 = cam_upscaler(cam, cam_w, pred2)\n",
" \n",
" plt.figure(figsize=(12, 4))\n",
" plt.subplot(131)\n",
" plt.imshow(chosen_sample.reshape(48, 48), cmap=mpl.cm.gray)\n",
" plt.title(\"TRUE: {}\".format(true_label.split(\"_\")[-1].upper()))\n",
" plt.subplot(132)\n",
" plt.imshow(chosen_sample.reshape(48, 48), cmap=mpl.cm.gray, alpha=.4)\n",
" plt.imshow(cam1, alpha=.6)\n",
" plt.title(\"{}: {}\".format(fer[\"categories\"][pred1].split(\"_\")[-1].upper(), round(scores[0][pred1], 2)))\n",
" plt.subplot(133)\n",
" plt.imshow(chosen_sample.reshape(48, 48), cmap=mpl.cm.gray, alpha=.4)\n",
" plt.imshow(cam2, alpha=.6)\n",
" plt.title(\"{}: {}\".format(fer[\"categories\"][pred2].split(\"_\")[-1].upper(), round(scores[0][pred2], 2)))\n",
" return"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {
"collapsed": true
},
"outputs": [
{
"data": {
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" 0, 2, 5, 0, 4, 0, 3, 0, 2, 3, 0, 0, 0, 2, 5, 4, 5, 3, 2, 0, 3, 4,\n",
" 5, 4, 5, 3, 5, 2, 3, 3, 0, 4, 5, 5, 2, 0, 5, 4, 0, 5, 5, 2, 5, 2,\n",
" 5, 4, 0, 0, 0, 3, 0, 5, 4, 2, 3, 5, 2, 2, 4, 0, 3, 0, 5, 0, 2, 4,\n",
" 0, 5, 5, 2, 4, 0, 0, 3, 0, 2, 5, 4, 0, 4, 5, 5, 0, 2, 0, 2, 0, 3,\n",
" 5, 0, 5, 4, 4, 2, 2, 0, 0, 5, 0, 2, 4, 0, 3, 3, 2, 5, 2, 0, 4, 4,\n",
" 0, 4, 2, 3, 4, 2, 2, 3, 5, 5, 5, 3, 2, 3, 5, 5, 5, 0, 0, 4, 4, 0,\n",
" 4, 3, 4, 5, 5, 5, 0, 4, 0, 3, 3, 2, 2, 0, 4, 4, 0, 5, 3, 0, 3, 4,\n",
" 5, 0, 4, 5, 2, 2, 3, 5, 5, 2, 5, 4, 3, 4, 2, 4, 4, 5, 0, 4, 3, 3,\n",
" 5, 5, 5, 0, 5, 2])"
]
},
"execution_count": 45,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sess.run(pred, feed_dict={X: whiten(xtrain[:512]), y: ytrain[:512], is_training: False})"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x288 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x288 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x288 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x288 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x288 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x288 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x288 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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/au2T8UmOj6M9Y3MpuXDQjw+f3jIfU88b0H7TNpkEyqcw1C+k9llzSWdM+XRi5ZoDyDcHeFYVqR1pm/UVU76WbYuUmZ1j+7XtQ46TEtrUEeQ0e/zzPtptCa2yHOz1loJdU0hSD+OK8q8C5yggjMhlz5nnVt6pnv2rQN1bNeVqiUILqe4XKOP5V0A6xcn7cPm3IPeN5GAs9nfjNcCbrtj+f/PuC6Y8mV415V85/+sdlbo1d7IYLiX9JUm/oKZZfkTSk3dwPsdxXls8Zh3n/sHj1XGOiTvVDP+L/X+O49wfeMw6zv2Dx6vjHAO+A53jOI7jOI6zsByHm8SrZFmm9fUDTR/1lCxT49mmt+yyTuN3qPGlFdrystXWPPzww6a8umq1OFtbVpfV5jPM+ziqDRkt6Lq8kLts0tquRx3zcGg1hl190aWv7bJSa/MZ7tItH9UnuOv8bIMuT+q277AObPt7rBk+EmkiLc0MtQ3o1lbp8ohbS0Lc/gNZzf5aajW+BT4P7KPKjstJYrWvZ3LrWHMqu2DKKTSiIbVlSQrUDE+t/rauaYVIRS21rRzr1PwjfmH3lrVYNVWwKUpre84cAr9l2CRxHGay47hIbLxSqTlseY1SQj5fdWiII0s6tFtsMUcLLHv8GNZ+gR55kkbQg06hz07Z93OZZZ8MkkRKZ6wHU5gC085riP66MYWuVbFd4o3CnuMl2N89nb5syqv1i6Z8FnreCys2Xlcy+3ydYJyXkbOsNAi2z1ZqaxGWQ49bY2QtYezn0NdPE3uPfcTWAHrgFcWa4TwcHn/UEDM2QsLnq51zEsxRKXIvQkvfBthUCuWAvo5Mpgs+b3H+lPGKfA+sPqsWX+PxxFql5Zltx7S2OSGf+spT0Tnmxd8MO47jOI7jOAuLL4Ydx3Ecx3GchcUXw47jOI7jOM7Ccqya4TzPzS50XZpQ6lbbPHwJNcPUCPOcPP7CBasxpGaYOlLWqc13tksn2uUT3KUR7tq+eR7NcNcxXZrhrjp0HX/UrZel+baZPgwezzrMc362W1c7dumYTxJpIi3lB/Vdl9X3Ul9JXVyRWP2fJGWJ1eSnOY/hNsC2PXs19Lup1eyf6Vkf035uyyU0ylUv1vdF8boHPd+EmmB4SUODWAdoioPVOUf6+xo+5MHeoyQN0Q5DYa6EySe9ValrLvBepIDvcK7D/Z0lqQ70c0X8UNOL73N7ZWqIE9Shxlgpa84hsb50J7PtcirYtu5hDHdt+XyySJTOCDH5nFjD1JNhDr7Rsn16BY3vGGbEU8TnCO21A93oLmy9p7mtwyr6Q9TGt2i4U+hrC2xNvIyYJyX80ukLPkUd+jXOLzuHDRKrc5WkNLU65kgyjP3Oa2jZ6W1e1TbeE8R3xnYr7T1KUjrC9ss9OzdXY/t5NYD2eoB45u7M1eFzRsgxr47jtVO2u4dj7H3XUR7P7T9f/c2w4ziO4ziOs7D4YthxHMdxHMdZWHwx7DiO4ziO4ywsx6oZTtM08vE9jLU16wHapsft8tS9ceOGKXfpd3nN06ftnt/Ulc6jdeU1u+pAjfDKitU18p6pg+7ytr0bXshdx/Oa1EF3XV/qbluOh8jHsMOHuEvHPA9t9Z6ly3/5JJNKWp7R/C3rlPm8SO24LPIz9gQDq7+XpKqwPsKCNjWgPZMS2repFR32E3u+Qe+c/T7qUEIjPFmGiFGSJjY+itEODqD+lvo+q88bBevSO6x38DmOl9UY3xB9jKVtaIInom7Zwome+r2UumWGHk/YMoeVtY23MU4yndpaVNFFDocaYsoDAzTKoaVrbwzsXHlO1KRCO32kGt5jQqKkPNBQJvBtPZtafeVGattzG6EpSbvwai5SaFMx7gbQzxfUpmfoI9RphE6FRFl1y7grEH85eq2XINchY6/CX76i1t3eUy+xc0gvtWuEJLPzpCSF3H6nhg9wUmHeG9s8gaq0+yFMKruuqRNbVvWKLY9jLW2e2g5nPkdvy95X6GE9xnwL6HcDfMC70mWyYZwbMd79iCnv1XYuzeFL/2FdOfwih+Bvhh3HcRzHcZyFxRfDjuM4juM4zsLii2HHcRzHcRxnYfHFsOM4juM4jrOwHGsCXZIkxgicyUVdiWW3OucseW5v6eLFi4cez4S+173udaZ87pxNyGFyW9dGDW0/6yqvrsabFcwyHtuEmq7NSHj+0Sg24ObPmOjFBDiWWQcm9XVtcDFPIuJRx0tXIiG5nY1B2pIRDzvH/UY9M3ZoBF8HJk3iXvM4abLu24SHhOMiQ2JJactZToN9G49FHwb7SNgLPRjHFy3jLrHXrPvYKKSyiSRZgDk9Ny+obNJHiXYcIkFuO7GxdK2K43sPbV1i7BacF5GY1NPhn9c4Pze8CGkcSxN8Z4xNMGok2AUk0HH4RKSMRybU4fOkxcT/8Bw8pXgk0tL/JJMkUjozvM9hGL4xvN6UB0j8eix7LjrnjcwmZo24sQrmxAnaj5twjAu0L5KuSvQIy21PiRVccy1/yH5n9VNMOenbzMoEG4ec2rtqynWJ+EPym1J7vjKNMzdrzGs1EgfTCuuKys4JjJUaSX+jgM2IoiTfmLy2G1oUsuUeNgvKK5v4m46RQJcyMZHZj3geY3OhYflSVMcXwidMeQ9z5alg5+Zrd7BHjr8ZdhzHcRzHcRYWXww7juM4juM4C4svhh3HcRzHcZyF5dg33ZjVw1J/Sx3qYDA4tNz2M25Qsb6+fujn1Azv7FhdzIUL1rS/S1s7j2aY98mNPtgum5ubh5YJdVhdG2RIsQ6Z5+jS+Hb1w+6u1TRtbVmDbV6vDepz2a48BzXAvMcuDXFbXxJq1Ls0xPcTlRLthoP7287suMsSq4U9Ba3r+jTeYCfJsREH9LgZ9HYZzOjTAM3vxI7DPMfnNLOf2DGSFPG4CylM91dtfKrHjUNgLr9jNf+DEnpbXg8/qTCnDBVrhjl0A7SVA7znOC075ywntp2LBO2GjQaGtZ33VpJ4IxCl2KgHmt6qwIYK0JPynqhTzjJs+JDZzwtoijfyOBbPJ2iH2uq9c7TLsT4g75AkC+qvHvTBW9LL5vO1B95hypNH7LPxdMumG6fHdhwtvWzHQe/606Z8Y/phU34utZs/vIhxJGhph5B5c3OYjZYp+ZEaeUHn32LKo4ex6YbtclVTbN60jY229jDuRphT8Dytq3jchY7cEeqWQ4WcG2iCQ4ZrsN2g18+TePsYbljBsZ9g9Ec5IcHOS6HE8xWa4Aoa5Qk20NiS1WpL0tXU3neFSWJJd+9562+GHcdxHMdxnIXFF8OO4ziO4zjOwuKLYcdxHMdxHGdhOVZJ1Pr6ut7xjgPdEvW61NL24QdILa0U60Sp86S2lcdTR7qxsRHVeRZqiqn3pYZUkra3rTaG90ndMa9BjfDVq1Zb0+V9TH9e1keKtdBsJ94X25maYdaJn/N67Afp6B69vM8un+Guz7s8rNvqyLbn57fjpX2vSNNMg5WD8Z0WdtyyfQL0W3kaj7NBZrXkSfT7OMZZoEaf45TtD70v2jtjn7Z0B71Nw7K97+ky5iFogumdnOydsnUsbTynNfT5qE/aMmbyGnpbaClz+g7DMbcP7WwPesEAsWaa2FqVLabAg8RqJ3v0BaYPcArfcJwyRd/2M3v+ATTEA9T5dIvmfxma877sfdNnOI2ciE8ueZbo7MbBPPvgwPoKh9dfMuXzj9j2ujCINf5jeGI/d87Gb/4x236nX7a+xNdqWy6gdd2F3+72GO2Nod/P4ufEKFh97Wlqdhk+HJd95NRgIFY5nqfwIc8Yny05OYFzAmKhLvGdkpph6HPFeS1D2Y7zXBBKS8oS+7M0jX3hD7tmoBcyxkoJjfAYGuFtXTflzcTqgyVpJ9h2ox8663Qnrv7+ZthxHMdxHMdZWHwx7DiO4ziO4ywsvhh2HMdxHMdxFpZj1Qz3+3099thjcx9/VM1oG9SREvrdvuENbzDlLi9bamHbtK+EWlV68NIHmBpiHt/lCczz8ftSrOHlOdgO1ASzvLdn9ULsh9vxFe5iMrG6qi49L+E9stw2HufxIr5fSdJExYxOmJrpqDUhnRsp9sMOUzsOihIaYmjfamiGS+gBBz37fdUo51avS1/TtGzpU4yTcgAdOPxzBZ1jgnbKoNelNraq7T1Nob2uW/S5HIv07E3QGUPZeamXIc8gIN4pQub1IyFmrM+mlJKaYV4hQbvSN7iP8jLueRknXApxvGcYtV0K/rb7PKkkSaJB/2DsFbnV81YJ82tsLLbNj1mNsZ2hj5kjEeyzZgit66SwsbFbWp3q7g78rkt7vb1BvGQJA5tD84XXfsWU18afY+t08QFbpxXkGXBgct6vMI7xfE2o/5UUmJ/C5x99huHRG8Lh65gC2vdehjwFYV6UlKTUiCM2mK9R4fmKvq6h3aZGeEdWP74FjfB2i596SW00Zo27GZ/+ZthxHMdxHMdZWHwx7DiO4ziO4ywsvhh2HMdxHMdxFpZj1QyXZWk8cqkj7dJ4tvm8dnkR8ztdOuQHHrB6IupteT6W6Z0sxfrYNs3uLFeuXDHlGzes1qbLT7fLS5n6YEkaDq3ep8tHmH1D7XWX3zNp0we39fcsrPNRNcZduuguD+vb4X7SGIcQVM1o2VLBmxaerQW8a5XEfV7Bi7ZO7LipoZfdldWdUV+7nlpf8HwKbbvsuM3gayqWJSmF5y7fGUCmVle4J8wZGTS/AR7BNAmGFFZ5i36X/sjRd/CVDH0RoHusBE1/x6OhaHmPsgpN6gQ+wjV8gqn/Izk0xEsoD/D1AWKrp7hvqYVOcUwKf9aiRXd8UkkUlMzoOGvITOs9+xzY3qVG1OamSJGFtqptOy4GQ/ss2wo2T2AL8Vyl1ts2mrIrtHcFjXIdj8td2T57IX3ZlFeGT5ty75qtw7i0z+zQQzyiDZKRrXQyHuHzuB01xTM3xX1UeJZV9hxj6HE5TxYYt0lm5zCldh6UJOX4GeepKXMA6MvP3AaUmfuAOWZKr+W4huqJMY1n9F18n3v/RLrjOI7jOI7j3GXmWQz/iKSXJf3+zM/OSPolSR/d/+/pu181x3FuE49Zx7l/8Hh1nHvMPIvhH5X0DvzsuyX9sqTH9//73Xe3Wo7j3AE/Ko9Zx7lf+FF5vDrOPWUezfD/LelR/OyrJL19///fK+nXJH1X14nKstT169dv+Tn1lNSMtnnTUtPbptmdJcD88tQp68dHf1zWt6uObT7D1NOyTA0xP2edec+E2lnqpNvakfrZXs/qP1dWrE8h63RUH2G2cxusEzXC/Pyofc924ee3Q5fO+W54Z8/B3YnZINUzwsMc+sq1xOp1ByhnkY9l7H9bBTv29+BF+WJi4283t+NsWXYcnZ3Y4x+cWK3eUvmIKde9M1EdI4PcGp68uIdkD3rAXav3q6e2jgHfT6Fj7cMztM1LM+d7DOhniwS5DPQhDdB/Q++dUG+LKizL6i4l6TzqNIDOcS2189IQnrVTxifOX6BM/WDaoUFujrF1pM49z+w8t1weS1rNXYnXREH9Gc1wCMh5gGZ48rLtw82qZZxBHzsY2vist54y5Rf1iinfQJdMoZcPla1TOoCvLHNXcjumJGk1gYa3sn02xTjMoOnN4T2uCXJJIJzO6POPNqnG1vdYksrSfielh31i55BhsPPYJNh2yhDfjA1OYcwpaCoK32DkPoTaXjPQBzjyDaeeF3VEjskSym3hy7mPeQADzGvZHaTk3K5m+KKkF/b//8X9suM4JxePWce5f/B4dZxj5G782ht0+EY+79n/p6Wl+G2C4zjHzmEx+2q8bpzauMUhjuMcI3PF6/qay4od53a53TfDL0m6tP//l9SI/2/FD0l6m6S38c/cjuMcG/PG7KvxurkVb6fsOM6xcOR4vbF9awmi4ziHc7tvhn9O0rskfd/+f983z5eSJDE6T+orqVPlm+R5fIa7/Gy5IKfG93d/93dNmR6/OztWb0StbJsWlhpffqfreJYnk3gP71nYTl06Zylua/oKd/k1U2/La/L87Ovb8T6m3rur71lH9j37hefrOn9bHU8QtxezM/+fQ6c2yNZMuVfYN8lpi2ZY0J3VpY2nCfa730F5G16Y45Hts1Db8+fls6a8vgdNYhGPu7q/bst5XpYTAAAgAElEQVRFi0fnDMmUPqPwRq7olRznFZg6Rbq4XnQMNcEUBabw/M0D5wToIvFeJE/ht4s6FHVcp16wc/ESyuuZ7ZuhbN/uppjnqM1G30fvShF6/RDnLawmVhM8SO3b1Kw4a8prJfxaj4/bitfZRihlY2t583lTXtqx4zpMYq1rVdvnX4l4vBKeM+U/qG0svDi242Q8hp4Xj7IaGuKsgBHxIH6+1jm06Jjn92RzcJYz6HfhyZuNoEVHJbPRNVOuJnZfgEkdv0SYBtsuGVS+QVwTwC+dPsKI14Si4AR63xav8lDa+GA4pRmef8GOlwRzUIDKv6hWTbkXbHkQbL+UiudFaoaZF5CjXXrQrB+Fed4M/7ik/1fSGyU9K+ndagL0y9TYvnzpftlxnJOBx6zj3D94vDrOPWaeN8N/7hY//5K7WRHHce4aHrOOc//g8eo49xjfgc5xHMdxHMdZWI7FRPEmaZpqdfVAN0INJ8vUkbZ5tNKjl2V67lKH+uY3v9mUL1++bMpXr1od1Sc+8QlTpka4TQ+8vW01g9QAU49LHXSXBrgo6DJoYbuxTdrOybZv808+7Hj2JX2Hz507Z8pra1Z/KsXt1qVLJl0aX+qY2S/zXI/9zfI8Hs8nlSSxbZiltu5pQt2o/byuY217ObXxuTO1msRd+A5X0JEtQ2t+trB92Ifer5pC0y+r5+tNW8bQ0NYh5Fb7HOltA+Kpgg66stq4Me5xCp9UmoRSQyzFfrkU/NXQ106hz+W45Ply9G0PbTCgN6ukqrb3UUInOYHf65JsuQfP6DF0lCGlD7Etl7jnlSTWep+CQ1kxsL7T1bLVEG8MbV7CSaZWor0Z79aXZPXyS3tW21pi3F2BxliSdhHDNcbmS7Xtoz/csuMk3bYa7f6WPb7k8xpGsaN1Oy7D+dhUY6Vn54gtaFd3oU3tJbjPBHlHGMfp1D6HxqXVXu9Wdo0wUmwUwPhaDvZ5V8i2W5HYz2u085TzJPpyAp101lonG+NpYufSLLUaX+W2L5Vi/s/sOiRL4TOMdl2C/7panheh5vPUzikl5tal8IfROebF3ww7juM4juM4C4svhh3HcRzHcZyFxRfDjuM4juM4zsJyrJrh6XSqF1544dUy9b3UiFKH2ubhS89d6mc3Nqz36YsvvmjKTzzxhCnTV5h1pD9u1z1I0uam1SlSt0xta5ff8qzuWurWDM/jc8w6dPUFta/UIFJfyzpQg3zmzJmoTuw71pGaXtaB1yRsB7Y774HXa/tZV1u36d5PKiEEVTP68rKymq+RMCZSO66pW5WkqrIxPKlse6WpbfNBBW9peP6eK+0YyQN0b7mNlYRavBYv5IraZ3j2JrWtcwIddFVaH9IRdMrDFJphcZwiJyDE0zTHZgVtXVRObF9UAZ7auOcceQUF6pTlLT7Due2bQvAqhzcxvY+pe04TO75G0GZX4j3a72ct73p6GXZpW7Ljp1qxusjlq9Zz+iRT19JoctDPL9PHtbbjchPt+XzLdDmsbBsW0G1Pg+3T4a4dZ8sV5mg8r0Npy2kKX2eMibKK5+BRaa+5jTyDbehnl0YvmTK1rEmwdRoHqwm+KqsZvi4bz7XieW8Z+txQ2/tYwnOklx6uVefUOoE+P8yRq9JPbXz2mRODvAFqiOscXsk9O5eWPfQlzx9sLCYt65KEuQ1j+/zo7dm+XJ7e/vtdfzPsOI7jOI7jLCy+GHYcx3Ecx3EWFl8MO47jOI7jOAvLsWqGh8OhnnzyyVfL1FdSB0c9MDWdUqwr5TmpfT11ympxqIX9yEc+Ysq/8zu/Y8rXrkEPiO9TQ9xWJ0KPXdaR7UIfYtLlv9umW+XP2PbXr18/9HjqeVkHeiXv7Fivx1deifcUpzaaZbYT24U6Kdahi652lLo1w/R05ng50YSgenpQ3xIazWlqtXl1Qi183N4Z/Gn78NtMArSpOMd6sPHen563dZLVng/XbHmyZMdI2Y/7mH2aTu1Y7+/Y++5P4Ctc2znnemLnjJ3Efn+a2OtRn7sW4njPg9XrTYMdd1PomqmvpXcxywW0oCX0paGOvcrpQw075siXOtMEZXwf7TBJbT8MRS9lS9Wi3czghVoOrMY8rNi27mXwWj3BhFBrOhOvkKVG7bGHPr0xtm0hSVVl22OSwYMXfbKyZsd2ntv5bieHj/COHRN1Aq/Zwl4vm8Z+uXvo+W3E09XU5gEV+qQpL42sJljQRe9mNp4/jvNtQX/flsGzInsfY8TramXbabmy95lDc1xTL482qFJ6n8d1GiLHo49chpXa6nP7qGNR2L0CEuRWpH2rSa760E3nmCDaHrcYxNmubd2ihFd56Zphx3Ecx3Ecxzkyvhh2HMdxHMdxFhZfDDuO4ziO4zgLiy+GHcdxHMdxnIXlWBPoQggmwagrsYybSbQlQDFBjklWjz76qCk/9thjpry8bI2if/7nf96U3//+95syk2vW160p+8svvxzVkYlcg4EVls9uRCJJly9fNmXeAxPFuhLq5qEr8YsJc0wE4/Ess+9Y57aNQ7oS3tj23LiD32e7s7wCw33Wsa0+XYmCTERkouFJppY0qQ/ub4xNEDKY+A8SJkS1jMvatleCZJd+YZN4lgqM9dT20XDXtueQSbhw7ce+DyqTOBGMiVsJjP6n2DRHY5tQM4TJ/05h220rsdksrAHThHuKDfNZxzaj/1nygIS52o7TNDD5zX4ekPwWQpzMXNXYFKdCki09/RNs0oGNAwqMp35qyyVOWGMsxdszKErSYTQyntPkWB+Rd0SSSMXM2FoOtn2HHGkJ5/j4XqcjNNiSHSfLKJ/DHjYpkmyfnSLZlAlz6LQ8sz1UlvGaYQffqREue4jHUW7v+0yBTaww9ndTe83rWAPs4IJFSyyOEPNj9MUuNgpZDUheqxl/tg5RsjeqUKVxnULFxF1732Vq63wKyY+hRsI64jn0bFlImEtSPPM5QSjOqYvilTc6R9L7rbh/nsyO4ziO4ziOc5fxxbDjOI7jOI6zsPhi2HEcx3Ecx1lYjl0zPKs1XVqy+kBqNKnhpL5Xks6ePWvKDz/8sClfunTp0GtcuHDBlN/5znea8gMPPGDKH/rQhw69/gc+8IGojtQ1U0fKOlF33KWDZjtS/zseWz1S22YSrFNVtbh0z0Dta5e+l5rjIXSXrKMUtwvrxI07uDEIN+Xgpi1sNx5PTTKPl1o0hmiXtg1O7hfqIO1OD/RwLw+s9m4ZGuLlZBvluL36+eDQcoZxVEFrJ+j9VhLbvvnYjqsJNMUJtHbDMh7nAXr3dGTHmUZ2g5id8TOmvNWzGuIdaO+GeAVR1dS6QqOctGweUdtzptispAdNb4FNOnop+kF2jslSuxlKmtnNTkLWogfnJivB1ruuoQ+FRrXA8avBNlSR2HsYZFZXuZ3ZOSRrmeeq0n4nw3jJRva+pgF9f4LJFLQ6owNel53P0tTeyxI2ZsiL+N1YCt3/0qpt0/UVe46zBXWmts/OnLNj+9qSLd8Y2zEywvu6zd34ObM7scdsI1yuF/Z5uCvb55cQn+d7dt0xhZa1Qt5DFW1uErfjGDG+h406bkBDPICGuI/nSoFrZrgma5DWcSxk2CQj2l6mYl4C5mbmFSBHQLt2vCVT5JQkh2/UJbVohqc2fsuJnYu3O3InDsPfDDuO4ziO4zgLiy+GHcdxHMdxnIXFF8OO4ziO4zjOwnLsJoqzmkp60dJrlj6w1HBKseaX/nsf/OAHTflNb3qTKT/xxBOmvLZmtXLULVOD/PGPf/zQ80nStWvWj3V3d9eUqSm+ccNqDnnfrCO11PQAph6Y7S51+98eVQtLDTGvyX5q0xzzGPo1E+qONzc3TZmaXx7fpWNmu0uxDpk6Z+qgurTYJ4kQEk2nB/3yysDqtQro3NYyq81bb/HwXcvhtwndcTWBN20furKebc8lDNsBRGY5zlcObR2TEI+pqoL/amXjc1rb+C0TO05CasctYyejJSg0wdTJ1SGOtUhLB81wAX/cvuwc0U/sWC6y0/aEudWbht4ayrFmOKTwKo6PMKUUuQ0Z9IB5aTWHvdrGc1FeMeUyWP1g0uJbOoV/azq2fZvu2fsao69PMqmk5ZlbXhL6DPPpBvxzVwbxOKsG0AD37XfO1bb8SLDj5kJhc2qmiT3+BvIMXshtHz83QQ7AIH5OVNCeT8e236eljb895B1MGZCI117Csm0nWCFr2jLF04N7gnlnDA3wSPYky7jmCp4rfcwRKbzJqc+VpAwRGnmRRx7bdn1W4xqB71bphTzl8wDt2GIRzDlFJfY3qOwcMQyt7uJz4W+GHcdxHMdxnIXFF8OO4ziO4zjOwuKLYcdxHMdxHGdhOXaf4VnNJDWg1I3u7Vl9VxvUw1LDSZ9gevS+9NJLpvzhD3/YlOllS19h6rD4uRRreLu0qdSVPvLII6Z8/vx5U+Y9b21ZP1j6DrfpVllH6hypfWXf8R6og+b5qTmmPlyKfX83NqzXKfXc1JyzzDqzDmwn+j3znqTYA5p1Yt906Z5PEiEkKqcH4+AG5FgFNF5T6AfbftWeQFAHqasC968v7Li4UVmd6PrEzhnrpdVJDhIbjzm0c1lq+0uSalwzFLbP+nZYKZ3asd3DPJbAD7eAv+sQ2uoUxqW9SLsnZR2awJy+wonVDGepzUOoMxtrVd9+PkVeQhigESSlGNtJD+3Qo+czPLpLe9/Fnh1PvS2be5Hu2PNvl1ZvOknhayxpBK/dfGy9yZXZvh+G+0cznEgazOhAe/SKRkCeqey43Ujie63Rhm+srab6kexBU36g96gp5wH5LFM7hy5RB87clZ7t8yl0zpKUYNyNMO5S+OmeX7Lz/tm+naPPYk7gs2+CdqqCjd8bnNQkTenZG8mzofmNNME2NpahQV4O9p57iP+8ZQ7J4RM8wNinF3kBz+isZ/u2Hth2qwvbrhXuqcQ6pO3JyL4tSuyHUNu2H92+ZNjfDDuO4ziO4ziLiy+GHcdxHMdxnIXFF8OO4ziO4zjOwnLsPsOzOk1qV6mlpTdt297V9HWlZpfnoNcstazUAHd59FIDSp2q1K2PpY8wNcH0EeY9s468h3k0wzyGGmBqX3mf7Dv2FbW0vB77QYr12tR3nzlzxpTpAc3P2ffUqLNO1Ky3adj5M16DmuI2r+wTS5CqGc3wCLq3CT0dUVxRPM768I3MM+x3T/9patdxjRoXHQfoRCtoElGntGrRICY2vlLo7fK+jd+8Z8cZJ9WQ0s/TxtZAtg5pbe/plGI9fZFgnqGmH3VmOQT4LZc2frMpzj+y/VCN43aLhJA0YEVspBBf53g3k9KntLD9UhQ2tpYqaBhrO39I0qRGvoasZrgH7eWm4nOcVBJJ+UyTpbLtlYu6U9te57JYM7wGb9m35J9tyunGm235os3RqTD20y2rGV7ZumrKxbb17S+qj5lynT0f1TEZ2LF4PWV+ix1XGxiH66l9tm3AnzkN9Ni37Vij3coQ+6uHQO9j+znfSvZxDz1MpUvol0Fi7yGgr9vqNIJn7xR63BTPxxze5BmukXCuhhY7Wr+hEcoWj+A6h5fxpM8DbJ11+P4Hh+Fvhh3HcRzHcZyFZZ7F8MOSflXSByU9Kenb939+RtIvSfro/n9Pt37bcZzjxOPVce4vPGYd5x4zz2K4lPRXJH2qpM+V9G37///dkn5Z0uP7//3u16iOjuPMj8er49xfeMw6zj1mHs3wC/v/JGlb0ockPSjpqyS9ff/n75X0a5K+67AT0WeYGpLIzw9aWGplpVhr+vTTT5vyE088Ycr0z+X36UtMrSw1oDdu3DBl6lzboGZ4bc1qcbq8aqn55TWpY6VfLzXM80CNMDXFXXWgpph9SZ20JD3zzDOH1ol9/eyzz5ry5cuXTZl9S00xtdld/SJJu7tWL8b7ZjtRp/wacNfiVUFSfRCTsIFVjmFUc6957isvqR/sz5YndmyvwLtyLdixGzB2I+9o6NgqePqOa6sRzetYB17Qkzez/R7dF45Pg61jHeCnCQ3iKrxbeyn0gIrHXQrNcJ3Ya1Yp/JyhGZxOrVazrF60x9thqzyBbjmN9eA7E9u2AQLvrIYPOHxMlwrb170etJuF1dsnss+HQWb7QS0aRHobjys7f9cjqz99qUVH+xpwV2I2kX27lUAnnsB7dgAP4LMhfr4+GKyP8O5Dn2XKS2+w31k5Z+O5RizsjqxX/Pi67dPsBZv3cfklO4ev7PxOVMf15JOm/Im+7cMJPLgHmDMYb8s1nr/BjlOOoQzrlpDFfvQ5chX2IJ+lLnkF51zFNfvQyrKdtxL7vN3N4mf+FjTCy3g3ennCvAJ7zVOJ/UNFmsOLvGfHRgL9L72U6SksSfUS8npqq/fubdnxs1LfvtHwUTXDj0r6Y5LeL+miDgL4xf2y4zgnh0fl8eo49xOPymPWcY6do7ymWpX0M5L+E0lb+CwoyiV/lffs/7u/Mukd5/7mjuP1DHb8cxznNeV2YvbVeF075ZJix7ld5n0zXKgJ0h+T9LP7P3tJ0s2/aVyS9HLL9yTphyS9TdLbKClwHOc14a7E67XNzVsc4jjOXeZ2Y/bVeN3eut7yseM48zDPm+FE0g+r0TH97Zmf/5ykd0n6vv3/vq/zREliNH7UvtLDl1pZ6i+lWP9Kbesb3vCGQ48n9ImllpW6UWpGeQ9tUOdIqJ3u8mPm8bwH+udS9yzFWla2IzW+1Mbyvl955ZVDz//oo4921um5554zZd4n+5J1oqaYdbp40f7V8cKFC6ZMTXGbZpi6YrbTJhaU29uxnuwuc9fiVZI04y1c1xiX0KkmKTyCoXOTpF5lx/4K9LBnezbeBrJjOYH+L0tte9fQspaZnTPKGnvbt/hvJrI/y1P6ncffMKUKumXoBWtoWZcT6OBYzuJxJ+gcK9xXUttciElly2Vmy3ulnceo/x7ktk7UYkvSS9MrpjxO7H0neLHZr+1YWBrZvlyd2Nhag59zCi/WUWbzFsok9kLucczKjo9RbePzirrn87vAXYzZgzYJ0KrXtb0X6kyzOo7XFH62Vc8es75qPz+F5wY97wN03uWKjeewBg/vHfu2e72KlSLna/sS/UaCcuRNbplA255ijulhjlpL6Ydtx3HS8opxDRrenRRjE3Plqco+LwcpfMNxzSm9ynv2+DKN1z073EMBx5ySrfNaZdu1N8QzXvQVRjtBQ8zciqQXa9ZT6NzTjG1t56U+E1uOwDyL4c+X9E5Jvyfppnr9r6kJ0J+S9G5Jfyjp62+7Fo7j3C08Xh3n/sJj1nHuMfMshv+1+OrjgC+5i3VxHOfO8Xh1nPsLj1nHucf4DnSO4ziO4zjOwvKam56SaH/qGagBpVa2LQGP+tizZ8+a8mOPPWbKbV7Fs9B3mHWg9pU60nk0w/Q6phaa/spsl64y60zdFvXAUqxjZh0JP2e/fs7nfI4pX79ukzvmaSf6/rL/6dfMOlErTb0uP6f+m97JHFtS3P+sMx1U2BcnmpAYLVuFl1c5NKBUwrdYW6qABjHP4H3ag8cnNGGp0OcZHC8y+3mkWSytrnwyeUGkhI6U2re6tuOmrKEHDHacXhfyCqAh7mEatso7KbSYCKTQvgrlwM+hB8zQW6eWME6hHy3Q7kriOk0TG9NDeDjX/A4eBRU0hJvB6u2vT2y5yuz5htDIJlk8h62ktnWXElvO8Z2d6vD8jpNEYwt+0Cb0ty7RH3uy89uNYMexJA2ql0z5oeesTnR4yc6JLxfQ16NP97bRJ1egTb+CpN2R9b8eKU4SHEJ/O8bA2quQa4Jh2MsO11LTrzmHpn8lsWOkL/hdSzoPrfQ0sXNMdM3o+Qtt9TLGPjT/U/T9RHG+1XKGXAesI8qU8YW9AiqbzznA8OHisu4h74A+5EW8NsuwlklRR+YN9O7g/a6/GXYcx3Ecx3EWFl8MO47jOI7jOAuLL4Ydx3Ecx3GcheXYNcOzelbq+bp0qm16y60t6333xBNPmPIGdtGiFy31uvTwpYaYet7DNNA3oYa3yxuZuuQuDTHr0HW+tnZkHenxTG0sNcY8J/W49Oxlu/N4SXrkkUdM+fnnnzdl9g3PwXah5pcaZHoCd41HqbtvqSHu0qyfLILCjMCOwyZH8/DOBiGeXlL4aeZ9O1Y5rip4o7JPQgYdGvxwAz2Ao6Ef6+draIATOJMGaH4jP1tcYy3AOxUeoafSc6acJTbW2uI10B8Znr41dJTTAI0iNMUZ+mops77fRQq9fEpls3Q5sR6w06m9ZoAukt7IFTStVWLjexc+p7s1dJLMlYhqGLdlDS11gAaxbjONPcHM6mFr6ESnsu05RvvutHgq57WdIx8Z2Tm4f936+A+X4AuLKaAa4Zk/tuM0TGzshdKOkbRlTlmCF+1qgmc8+nSMOSiLnuGoI1T8aWbn9AxzUr/FXz0kUUaF/ZzjsrZjuUKuw3Rq9d5ZftWU9xAb10OsGRbWBWPk8dzAPJcEm3MzDrZvTkNTvLJn65iP7JxSQ5Nc5LGfej61vvNJinaDn3pL08/N/RXpjuM4juM4jnMX8cWw4ziO4ziOs7D4YthxHMdxHMdZWI5VMxxCONRflnpB0vZd6kTf+MY3mjI1wFevWm0NdacsU2Pc5RPL46XYr/bSpUumfPq03X+9qw5sB+pWqZWl/retHbvui1rXLp9hQj0uj2/r+3Pnzh1apuaXPsJddVpbWzNleiFT18x+lOJ6d/k1t3k8n1SCqBO2YySH5qsPfW4R4j5N8bO8sOUJ9LpVCS0szlfI9mEV2e9CRwqt3WQa9+m4snVYKuAzmtt4ovZ1NbH6+DOpje+kb8tVYe9BrPMI3quSyuk1+5Xa6mnHsvewm2Eeg3h6RVavF+kke/aeqlUbi5JUwfM9DGy70Ve0Rt/mI1seDO08uLZr473atZ63k6n1jJ5CNylJIVBXbOuUYAwvJfF8flIJkqqZgA2Ilgqa4LHss3MvxMbgBfxxM4yjdA/xOoIn9wB1wJRc9vGDJRsLeWl16L3YClmnJ7ZPM3hFny8wj0PrOqjsOKV+XniOpNkp+3lhNcR15Lgee+yW8Mivc+Q2jJErMbI33tvFnLAN/91g/aH3WhT0W4l9pk+Rf1Gi7/cwfvrwSn5Z1nf4VLBrrV5p+yWFl/labTXFknSutmulfm790Pl8HbVmCsyHvxl2HMdxHMdxFhZfDDuO4ziO4zgLiy+GHcdxHMdxnIXFF8OO4ziO4zjOwnJPE+gofmZiF5Pj2pKPuKnBxYtWcH/tmk00uXLlyqHXZNLU7u7uoZ8zuY0bQ0jS5cuXTZmbSTDBjZtsMLmNCXNdCXXzwM0ijpqUx8Qx9hW/z2S1tg0uupLNWAcmIg6QpNCV9MfxxoQ5JuxJcV+xL3hN1vnkczD2UibQIeGGCXO9EPdfBtN0mvJPSps0pQoJOUjaq5AvUSODLkzt+aqx7cPdkU08kyTl2JAiR5IkNpzoi0kdNgmoXn7QlCdLNlmt6qERpnYM5ZtxbKSVnYcSJO3U6KsSyWsMtwybAvQEg/wlG1uTs0gikqRzSD5bsu2YY/ODsrLXHI9su4YdJPVdt3XqbdqEn/6OvanxxM71kjSNNlQ5PIFuObWJSCed2YRAJtBNkei5iwSo7ZYk6iyz56gzPJuG9vlYb9mkrLq07RnKgLJ9zkyRT1dlOF9iN9GSpAESXNcKu0HMbrCJXa8gsavS4c9Ltkro2XFYrtg6lXmcQFf2EZ9LuFFOlZw7x3iW3bCx0cPmMBc37bNrr2XTjWGOzUnQ/ys45zKSanuYMwbiHGLLCR59JRKFJxifkrRbI1EQE36GJewk8wQ6x3Ecx3Ecxzkyvhh2HMdxHMdxFhZfDDuO4ziO4zgLy7Frhmd1mdzIIc/z6PguNjasXmcJxu/UDHNjBm7KQQ0wy9SR8vxtfNZnfZYp8767NL7UtnZtJkGoY6XOVYrbpUvryr6iPrdLQ8zvt7Uj+5/fYZmwDhwbXRti8Ptt7UYNOsfTqVNWW7m6GhuLn2RCeqAZzBOrH+xjHPahEctaNt3IM27EgE01oAlbClaPmwSrlSshRKsDNYrMQ7D9U4a4T5cxloU6JhD49XoP2GtgU43piu3z6cCOO3r8h4m9h3oSj5l8bMdVPoGGUFYLnWMTDo79frD33Ctsuw/XbVmn4/coG+u27zYKe84CAvFxbTX6VzLbV6MJ5hA8Dopg9eBlYcvTNN5cKOOPMF4G2FBhLT18I6gTBXbJiTbdSOzNDzGud6q4T3sFNpyAjrSeWi1qds1qiMM2BjefdShX0MtPoOHWmo0tSVrq240ZeiObj4Khr63KxsZutBmJvacV5EZUfRuPk1N2nJf28S5JqlN7Dshtlfbs4B4scQMUbC6xhjyjFZuHNHjB1vFN1+wcJUkXJ39gynup7bvVxOY+DFDupTZWMui7hXar0a7jYPXA1LRLinJGsAuU6tR+Z8yGPQL+ZthxHMdxHMdZWHwx7DiO4ziO4ywsvhh2HMdxHMdxFpZj1QwnSWJ0mPTsJdRw0gtX6tZg0huWvsFbW1Y/RE0wP6e29pVXXjHlL/iCL4jqwHo/+eSTprwOPR41vl06Z/rjdpXb2n00gt4O31lbs3qho3oA83iWV1as5lGK75t17Lpml86ZmuAuTTK13lKsCWbbUvfc5qd8Ykmsti2HBjHBvVHLXiuO1zq1GsERvE6zilpWeGgHOy41smOkrqH/G71oyjsT6xtbL7Xo1AJ8vEf2nBs9+AgvYQxgTpquwGMUfpsBTqa4fGuOAOeUaYVch8TOc8MEnu3Qd5dCu6KdC2hFqyz2y05xDchxo/useN94N5PgBCnuOYHmmI6wWUus5T3kDQQb00Vm+3alOtZH5J2RSOnMWIn86Tmu4T1dhri9KmimK9l4qUdW95khHul/TV/wChrPGrryEtcfbEC7LqnCs2Q4Qi5SgLa1ttdgLI1rPAtl1wQ55pgosyltyXWCZphLGT/GDr4AACAASURBVI51ksE/t4e0hskG4jOxXst5y/P6/DV4iVfw4M7hJT6w5RqVCHheJrjJYmznqN7Qzs1lCa23pCpHX6BvJsgbqO7g/e599GR2HMdxHMdxnLuLL4Ydx3Ecx3GchcUXw47jOI7jOM7Ccuw+w12eurNQt9rm80qop6VmmDpUaoKpKb5+/fqhZdapzS/3t37rt0yZGsBnn33WlKkZpqapq0wt7Dx+zdTDUjvNvqDml/3a5TtMPS89gKXYQ5qez/NooQ+rA+tIPS+Pb9Nu8mc8Z5d++8QzoyvMksPHUQlfyWEYRsek+P07w3fSGtq4Gh6elCEH6/O8V9p4f7F+3pSvoU5FHevAV8Z2bJ6V1db1w3lTTlbhAUq7zT58ijNqhOEjTp15GfvlJrjPq9VzpvxMauehPfqGU4+LcbxcvWDKK1sXbJ2XHorqtFvYGx8PbL2ThLFgv18ObbylI7RDoFcrfMHRl/0WHWaWMObpKW3PMajvH81wEky4Kul418VwTilWl5RC8zuqbfxkIxtfk9I+N/hsSoT2l80VCZnVBKc95AS1aF8nGNvUltdTxNcEXsm47y3oonvhZVM+s2PnnLxvn111aMmn6eGaNfzVp5gTpnbcQUqtjP7PGfzVByiftlp4SVLxKbbMPISBnQcrXDPgmkI5hUd0NrR93b+OHJ/deC6eljYnq4YnNLXWoT7aHgyz+Jthx3Ecx3EcZ2HxxbDjOI7jOI6zsPhi2HEcx3Ecx1lYTrQgijrWNl0ptaf0oqUGeHPT+iJ2aYZ5PM//4IMPRnUiH/7whw/9nPdJbWyXlpWfs52Wl5c760jtK8vUQvMa9Nulpph17PL0leK+bfMinqVLn0stdhds53n07jymq11PNlaESLluDYfNcWKPGGVxe6eJ1eOlHV6yvcpqEFP46VKXfKW2mv4/DPb4CXSmyy06yfHEzgGrgdo5O5Ynqb2HaWrv0Y6iWKsZKsQzdW8t/up1Zev4SmrnsU+UyLegnhaVqnN7vkJWM/zQ0M4hS6/wrqRJaXXF01VoAHFbaWXvqw8/53yX+lR7j3Vpy9Ng80HUkiuRpfY+EmqGUzs+evfR+6IgG6OBvuDogB68owdFPM4gE9UkYGxDu75T2fgrK9unBXyde/AALvAcKOBlm0zjvKEp+xnxktfUDNs6ZMGO5WFin/E78Ble3bM66TyzYyqDx68k1YKOGMOqKu08lI5R5ww+wgN4cqOfEk5reTyO6zX7DA+Yx5Jlrjuga2a7d6QmBVSymlg9eDptyTGp7PjimI7Lrhl2HMdxHMdxnCMzz2J4IOn/k/S7kp6U9Df3f/56Se+X9JSkn5QUb0nkOM5x4/HqOPcXHrOOc4+ZZzE8lvTFkj5D0mdKeoekz5X0/ZJ+UNIbJF2X9O7XqI6O48yPx6vj3F94zDrOPWYezXCQXhXNFPv/gprg/ab9n79X0vdI+geHnShJEqOPpY6U8HN6FkqxvpZlaoDpM8zP6a9LH+HLly8fWqY3riRduGC1dB/60IdM+ZVXrJce60QdKvW11OfS65Z63jbtLa9BPRC10vRvpr6X5+M1uzTEUqzZ7fJP7vI+5vHUEPP4eTyBIx9N6KL4+VF1y7fB3YtXJdarNLHtX1IjDDHsbojbrwrwu60xB0DDm9c2Xmt4zV4LNlZeDtZr+kZC3aodp/0sFrqtwi/31Mh6n4bcxvgYQzfATzeUHTq2ia1DNsEYavMJRztcgTfqS0PEY2nnhAK+p5NlG99Vz+pxq/BRU760Y9tdklbHrzPlfv+0rTLfveAeVNq+q6EXn1Q2b2G3umrK12X1qkWI55RzFfxbMT4SaIbnsGi/G9yVmA2JNDEafzvXZHjcDxJbXlXs0z5AAwTMZxVivIR/boV4zmpqPPE5pOgFvd7TOJZy5AFM9vj8hJe5bDyvVBj7wbZbCQHudm319GvbNtayIn6BX+b2Gaxl+ONyoA3Rd9QAb9En3H4cra1a1lqBOuKMOuTD811C1aEZLu0PEhxPjXLIYn/mEDjesAcDL3oHATuvZjiT9DuSXpb0S5I+JmlTejXanpXUnUnmOM5x4PHqOPcXHrOOcw+ZdzFcqfnzzUOSPlvSm45wjfdI+g1Jv9H21tRxnLvOXYnXMx6vjnNc3G7Mvhqv62unu451HOcWHNVNYlPSr0r6E5I2dCCzeEjSc7f4zg9Jepukt9GmzHGc15Q7itdrHq+Oc9wcNWZfjdcb29dbPnYcZx7m0QyflzRVE6RLkr5MjbD/VyV9naSfkPQuSe+b54Jtut+bjMfQjHGP8Zbvdultu7xm+Tm1O2trdk/vs2eth+DqqvXKa9Pj0pP38ccfP/SaXTro4dD68bHdqH29ePGiKVPnLMV6W/7iclRtNtuFeiPqfw8bF7f6zlE9e9nOLLPdOFaoH287B++jS6f8GnBX43XWFDeBPqtifKI/yhb51hS+o4LGsA5sH/v5BOVN6CJ34J1aJXZcZyl05zT9lZRBXzfo2fhNC3jTQnsX6dx4j9DO1RP4606hp2+JjaSy89YI7Tqd2Puup4gV+DuXA1se4h624J28VFu9riSFqb2vfvWyKcd6P2gz4WE7gf57DF30TmLnoCvwnF5rebxt4JwF4jPpiN/XiLsSs3UI2pmp7xj+uCX0vVll+7wfOYlLfYzVorZ62EJ2nj8FDXaNvIIktX2SpTa2shz+9Drct705p42XYmDPOUX8peGcKffQ5/0Jnre1bccdWT19HpA/M43n+ApzZ51j7qR+np7b2/Ya6dTmUqQJtdd2jgp5vEdDPbBrmwrP7JDZvowiATpmaoI1Rd9P8AV4K4cyfr6O4Vu9Fey6pMKYHXcvI27JPIvhS2rE+5maN8k/JennJX1QTZD+LUm/LemHb78ajuPcJTxeHef+wmPWce4x8yyGPyDpj7X8/Gk12ibHcU4OHq+Oc3/hMes49xjfgc5xHMdxHMdZWOZ5M3zXqOvaaEvpLUvtKz9v029duXLFlOl/21aHWejHR00StbTUrVIPzOPb4DGz3suStLxs9zonbBfeAzXFL774oilT39tWJ/YF24XnYJ3pdUxtNsvz+Ax3efoe1VeY90gvZdaxTTPcpVvuqtNJJiRBYUaLlkOfleNeMuwLvySYhkpKIadLa/hZQ5m2K4wbaHyH1HhCM5yl0DyinM0hO6+gbU1rW6cU+lv6dcavHFDnnq3TdAyddIvfdYKxmNTUDPI7ti/ywtb5FI4/i0fDKWhFs5a+LeFTO66RVwCN73aw8TaG7rFkO0FXOcH424Wnba8l1JKo3vQV5pfun3gtQ6LNGW34Vm61rVHOBO6taJnLlqgrDtYvtzew3tJJZp8DNTT6mtgxwlhKEhtrCcZAWsd63IA+FHTHYdlqY+lnmyNAl+FtLl6S1raVPd+w5Vk2HdiT9PrQz8J/Pd2zz/DJ1odN+RV93JS3MxtLS6mN13XZNpCk9T2bSzQY2VwmJQ+b4nTF3mc0WugrDN1zOrZzVjq0a4h6+FJUx5fqZ2w5sfrtAn03quJ5aV78zbDjOI7jOI6zsPhi2HEcx3Ecx1lYfDHsOI7jOI7jLCzHrhme9aelrpS6VepI27xot7asLurll6235enTdlce6mu7fGFJl163zUeW2lSWeQ62S5eGmJ6/1L5St8qyFN93r2c1R9TLUjNMP2bWgfdErS2111K393CXb3CXj3CXjpn33FafE+gzfBcJ0oyOM4NmM0cf5tDr9kI8vQRohNMSOnCIeO3IlsY1dY/2eP52v5LVh5ZPJ/H7gFXoYyMq5DaM4GU+og8xvo92pD9nwnZumZPS3M4JD0xt/NwY2Pjbwthf6dn7vgQt7aVgPUfXgo3vIonbKNDzExri6+jN69CDU//NSOl1xPeU+SBJPP5S6kupIcY5xpHv9cmlDtLu9OB+rufI60io+Tw8fiUpr/AzxkbfaojLJTtuyhzK0qkdhzk8eXN6zeJ5O1m115OkctnWCRJeTXGNsGdzdApojJcxLvsTuxNnFI5LD5jicDV+lmV9tDXaJcoKGNlYuVE+b8q/lVuf7ysTe80cGuL1PM4Tel2w+VaP79h8qw16cK9dMOXAfCs8P5M95G+NbbkqbZ32ynhPmauYM24gL2CAOadk5x8BfzPsOI7jOI7jLCy+GHYcx3Ecx3EWFl8MO47jOI7jOAuLL4Ydx3Ecx3GcheVYE+iSJDGJVEwmYtIWadvQgolZL71kjZvPnj0b1WGWrk03+PnOjjV95vXakt2YVMX75jVOnYqTBGZh4gi/z3bsShqU4uQxbtzBJD2WeTzvkcd3bVYhxZtutCX+HYWuhLqu5Mm2z9mWXQl0bRt3nFSSRMqLg/r38TkT6PibdVsfM0knLe0xAySWsMcnSPrJ4IC/jEueRpedreyUd762CbaStKQVXMPeeV1ZU/7Btk3irSom+Vm6Ej0TjMs0xOM+6dmknk+pXm/KK4lNRnkltckqPfTDw+GcKa/XZ0x5kK2jAnEsTAI2Kwg25uvExkaF5JcJWgq5kkrxOfZPUcYNk0L8rifBZgRK7XdCZROPJi1tf1IJSjQpD+7verB9nuJeM7QP26/tZ1V1eFJzwvkPG1zUSNysE8wqSATTAEl/5+MlS2/ZXnM5twNjPLWf796w56hymxyaZnaziWRqN6eokXBXLdkxlZxqSdzEYC2ntl0TO+yUTO0PboRNU35uZNtteMXOWWlt2/l6Sw7+K6ft+Ljatxt5fOa2jd+N3cumnCXYWAvxvlm9YMq7SIbjvDeO0wg1xROAK0ROQx0594fib4Ydx3Ecx3GchcUXw47jOI7jOM7C4othx3Ecx3EcZ2E5Vs1wr9fTww8f6HGee87q2riRAze4aIO6z0984hOm/PrXWy0d9bQsUxN87do1U3766adNeXPTannOnLFaO0m6eNFqjqjh3diw+j9uQMHjuaEFtZnUVvPzto0fuvSy/b7VKLEOLHNjEdaJx1Oz3EbXJixdGmO2Iz/v0v+2aZa79OAss11OMmmSqN8/aFPqTAPbB5LDUYsGrBCN2m2blj07TqY4vqS+FhtUpKjTYIJNNyqrcxv0L8V17FkdccLtHzIbC+nUauGyHXvflLGFDq16ImqK28ad1Z4XiRUFbgQ7p9S4RgZN4VJqv19QN53aPIa2OiU1NMK4D2qEpzTMxxQUaa3xkx43jUB5JWDzE0kp9N8hQBNb2nlp9z7SDCukSmbueUf2WbZU23G5jA1IenWsGR4E215TxOsAm2RkKTbOgk55ik116tSOgb0S8wFyLPIhNkmRFHDOFPcR+M4vxbqiQJ0wB4WEn9vvB5S5mYkk1RzcmCxTzFPCuKswz02nuKc9nJ8bjYzi9547qe3bZzfsd5YKmw91qbY5AQliZyuxz7aPB9t3ezh+JeEGGjEF8wLweVf+xVHwN8OO4ziO4zjOwuKLYcdxHMdxHGdh8cWw4ziO4ziOs7Acq2Z4MBjojW9846tl6kg/8pGPmPKNGzei73dB399nnnnGlM+ds36aXZ6/KytWO0et69WrV035Yx/7WFSnhx56yJRXV1dNmZrh8+fPmzK1sITtyHu4Hbr02tRaUwtL3+Gue2irM/U/XT7U1O/ynKxDl055Hh9ijh/6CPMc95XPcJpo0D8YWysZ9PUT2+cT3OtOixctdZ00Ei6hrasT6MTpsY3TUde8BA1jf2pjb5JeiOo4XbFzRArNYF7D+7K0uQ5JCb9dvnPA+RLoAwP0wDW8byVpUl035b1gcxt2E1uncWLHaQb93l5tj+8ndt4r2G9JPD9E+tsAvXxqy9NAT260M5qN0b+Mdl2tbV+vC97IklJ4ylJPWtXwVw93YFx6zCRJqmLG+7XMrSZ0DH3vCoycN5LYjHZNVitOn+FyZMd6XmFOHWIOpjS2b5/p4wIa5ZGNjdGNuD/Kvu33rWU+D+19FjhFNrLjMkHeUFZDfzuxI7Ga2DqXZfycCj3omKFTRmgohT/zSm37ZrVv4/3amm3HsMs5J56L6Qk9huf79Qz5L4nt6yE0/C+Xdk64son9EnD+3oqd19b6cT7NBhpmDZ/34ZWdJrcfr/5m2HEcx3Ecx1lYfDHsOI7jOI7jLCy+GHYcx3Ecx3EWlmPVDPf7fT322GOvlqnBpJ7yqaeeMuU2jWeXXvaTn/ykKa+vWx0Z60A97+nT1nP0gQceMGV6+H70ox+N6kitMz17X3jB7uH94osvRuc47HynTlltDnXOy8tWb3Q7muIu/WxXX1JrTdiPbbD/qQFmX9wpvKc2n+EujTDrTB38SSZNrGZ4KYFOHHrKXWiIRxQES6qgPaXCqxrb9hpD98i95we5HQM5hKZZDl9x3EOWx+Ou7EMTCE1iNbT3WQ+hGZ5Y3Sl9g9OEPt/0JYYHd7Dnl6TdYP3NryW2fCPYc2zDK5laa/YUpXc5tNZZar3QJamG9pn67gCNKuxhNcBFqWse4N3NcrCPr/Vg571BanMxJKnOqYuFlhP3MGqJ+ZNKokS9mfFewC93Be29NrZtcTpYrbwkLeeXTTldtuVJbsdF9GwZb5limLxsyvnEPsuK1UdMOYNncLlHPX6s6U960B3DV7jE8xdSVpWRfzWeMy0+wgZOUpKSEu2C3Ih0aJ8jobRzCFnBHLK5hDmpsveoENc5gcdzhfjchBcyW34b2uidbcwJdlkj4XkxOmv7vo4l/kr7Nv4y1LmHubWubz9e/c2w4ziO4ziOs7D4YthxHMdxHMdZWHwx7DiO4ziO4ywsx6oZzvPc+Pzu7lot3N6e3due+sunn346Oic1mUtLVrfCa9CH+OzZs6ZM3WmXn+5b3vIWU6ZeV4q9h6mrWluz7nnUoW5tWd3VDnwQr12znoO8B+qgz5w5E9WRxxC2M/uGfrss8/usY5sel8ew3fgdHk/Nb5dWuksHTR/jtmN4n/Rb/uAHP3hoHU4SSSL1ZvwwB7IaxAI+shU0YddGcZ+OKtsHNaagsrblDH62Rd+WVwqrja1S+ufaWJr0bOxs1NavV5K0a+eQKrfa0wAtZujb48N0D2WrE68qq74rg63TRPb7kyzW29/I7Lz2PHTGV9D0Q7Y7xu0VtONe9oopF9AHrqTxHDKFTpnayj49oDFeUhxf4F1NH9rNpWD7YRW+wkUWa2DrPuY5zFOM8dE49j49qSSJlBUHbXSqsO11Mdhxej7Y/JcieTg6Z7n+oCmPz0PY2bPXqCbw6b9i4+/ayObwTGTb9+K2HUMrhe3DcW1jQ5Km6KN0hHHTs3k/4571Fh8v2zllQo99ym1h2Uvte9rmr45xlQ3tuMu3rOa/nNj425N9juSoRK+w7TxewrMuxM++LId/MuaE3RK+/JhDRlt2PCXX8LzetPNeiBrOzqvjlvyNLfjEF4Xt6yVkO0zGrhl2HMdxHMdxnCPji2HHcRzHcRxnYfHFsOM4juM4jrOwHKtmOE1To+m9fPnyIUc3GuNZ2rxqn3nmGVOm3pb6WnLhgtUPUePJOnT5yn76p396dI2NDauN+fjHP27K1KlR+0qNL9uB90jt9fXrVhf57LPPRnWc1XJL0vnz502ZPsDUBPMe2E5sR9KmGaaPMDW/LB/VZ5jf5z3MoxmmRpjH0Of6ypUrR6rjvSRJpHxGg9tPrW50CS7BObwsJ+O4vXaGts3LPTuuEujUBvAJTtft8bs920fbOcYd/HXXocfdyGLf0hXoGHfQpxW0mNWS9WvN6X+9Z/00k5G9p3qMWKqQS9HiOXojt/dxA6819qC9HsPnlPq9Xfh3bqa2Tjuyc0xex/o+njPDu5ZebdtlBdrKDLrGHjTCRWLLa8HmWgyoES6sVlSSygLjCTGOaa11XjqxJInS/CAGl6DBXEd7rWUXTXnasxpiSdpbt9+BLFtpYdunmqJ996wH/t7QjtvnEzuu0srm15yqre60n8U5OUUPeQdT5JJgXAbkFWT4fo05pYa2vZ6wbI9PpnYOan5mj8mpRd+zGuFhZf2Y9zAn8dmUp8jhyfl8bnvvibFfMSfHHj2d2PFU76Idh3gWVtwXAs9n9FOYxnWs4HVcYhkxLu01plWs154XfzPsOI7jOI7jLCxHWQxnkn5b0s/vl18v6f2SnpL0k5J6t/ie4zjHj8er49w/eLw6zj3kKIvhb5f0oZny90v6QUlvkHRd0rvvYr0cx7kzPF4d5/7B49Vx7iHzaoYfkvSVkv4bSf+ZGvHHF0v6pv3P3yvpeyT9g6NcnN62jz32mCkPBlZrRy2sFGs2qdF861vfasrvfredU6jhfO6550y5TSc6C32LqZWVpNOnrXaNXsjPP//8oWVqgtku1BTTd/iRR+x+77xHKW4Htiv7annZ6iRJl+8w4fWkWNNL3THLXRpi6qxI1+dt+kH+jJ7Q1IdTB/0a8ZrEay+17b3e65vyNjSg6bBFwz2y50hetHrYZXgXn96wY72sbPuNcqtp3CpsrCxnVms3Km15L8Q+wxuV1Z4uJVZbOYTP8KRv6zQJ9iVeVtk6ZrtWj9+7ZoWY/ckLphyGsb/6FnTFSbDzDrWwg8zGBr1Rl1McD72uqK0NLfGcsGivOcDjhj7CReRjjePRrsuJnVezwuZ/lAOrV5WkGnNGgHazwm0VR8xDuE1ek3jlfNgvbLwOEjunh6XYaz5bQq5IaufpwbKNz1PLdiynu+jjTXs+ZvQ8LfvsOlPaIy4FG4uSdCq3z7diyY6D0cDWKRTQCFfI2ZnYPs+hpdW2bYNeaZ8B9dDGZlMJ+7O6tuOunFqN8HawvsPbiY3vKR9VHR75oY6fbSV/hLGeQMNfw0Ma6RgK/D7Gm1I7p9R9nC9vyRtCLkMS7DFcN4QQ5zLMy7xvhv+OpO+UXs2YOStpUwfN8aykB1u+5zjO8ePx6jj3Dx6vjnOPmWcx/KclvSzpN2/zGu+R9BuSfoO7uTmOc9e5a/G6sbrRdazjOHfGXYvXM6fiN+GO48zHPDKJz5f0ZyR9haSBpFOS/q6kjf3vl2r+zBP/7b3hh/b/aTKZ3L7vheM483DX4nVzZ9Pj1XFeW+5avF7b2vJ4dZzbZJ7F8F/d/ydJb5f0HZL+vKSflvR1kn5C0rskva/rRCGEQ7Wj1DjRA/iJJ56IvjPu2Dv+8z7v8w49nhpPQm0sNcF82725abU+knT16lVTptZ1ZcV6Jz766KOmvLtr9UbUEHd5I7OO9D1uO2eXdzF9idlOXZ691Pqw76VYj8syx1KXD/FR6dKLt9XhqaeeOvT4Lr/lu8BdjFepnum3Gr7CfPKmuLesZa/5ooY35cT6iBbwxxxuW0/tLIeusWd1o8MVaIyXbbwmCXyOKRKV/v/2ziVGjiwrw39E5KvKVeVnddMeG2zUtlBLzUONWoNg0Y2EBA1iWLAAzWIWs5zFICHBICTULNnwWLBj0MwCAeIhMZrdMEyrWTE8xqBpRozbHhv3tN9VdlVl5SsiLotMy/X/kVTUIzszsvP/pJR9IjMjTtx7z43r9H/OxUBqV2Y6DqTOcE00w6G2f53SwbL4EHN91+UdvsczYwoJxLtSgzdnnfFmxO0WqTxPYqMVcV+dDjwnrYHnjGZc/BVSNcKZ6JgboSXvc9snkYwf0RAn0g715Cyfr8Ha7Lw+Rj+ofdGT2vXSUFPQDE8sXoEARM/v74SIuE9GnFui2tq0xbksANAMoh0XkW+9zuMkFzFrssPP1x3ws2pbtOlPpH92Y/78UsqaYgBYAsdPtMrjID3NdrzK7VIXvXyeyjzXZjsWjXGtx8/G0C3mIfR2eQ2QBX6mt3PWDD+s8TrikQh021JHvCsFePs9Lcg75lkoczFStdmMpb5y1JX8KImlPJW5V58HWm+9X4w1aWr0ejw3J/JMyvOjP1+Ps1r4bQzF/u9jqHH64jHOZYz5aHG8GjM/OF6NmSKHXUa/M3oBwE0Ar0/SGWPMRHkHjldj5oV34Hg1ZiZ4BzpjjDHGGLOwfOQCxsOg+kutE3v+/PnCd1RPq1pUrfOqml/9vF5TawKvScauaoTH1aIdVx95L2X1crXGr1KoJ9nk+n7dLmt5xtXTPXuW9Xf1cXq7PZTVES7z+SA1gAu1EsVWTW9ZnWFtZ/1+mc55XI1grdl89y5rN3X8jBsfVSbfU2uyB/a9LTUfd1UPHBe1rg0pcKsytd3uNl9f6kw2RUPYarAOdXCG2zte4TGxFInuFEWdJGLpMxlXudRT1vqcsdT0jRMZt3X+fNbke2jvcvzGT4qxtPaEK22d2mXNYZaybjELoiGW86lety71m+Maa7ORsM9D+D7rMj6Qct+pKFH13EVVupBwu2RS11TrngJA3t4Vm8eb1mudSlXwCRFFQFx/3ubnRKO93OScm/Qka21rY3IkVra5fVpbPM6SO9zHSYNjp925Tvb3RDP8ZKD16iVWZM55VKhMDKynUtdX6p9nMnRXTvI5mzIn7Yruebcpz6qU7zF0ZUwNZEwBGARut11wrsTDhOP1jsTro4zjs53KvLfLdtiSOWinmBsRab5Vn+18wH01yHjtlAdeO2nt8Uzivy55CUsDrrce1XkNAgCdlswBiWj+Za4taKUPgX8ZNsYYY4wxC4sXw8YYY4wxZmHxYtgYY4wxxiwsU9UMR1FEuk3VsqqeUjWarVZRp3b58mWyVUOsGmHl9u3b+76v9XRVC/vyyy+TPU5XeuPGDbK1hm9ZzV1tF9WylumcVSs7rtbtYa9RptfV2slKmf73IJ8pa6fDnk9tbaeNjWKNy5s3b5Kt7aR1rY9b+3iaRBGQ7KnB2dC96kXftxJz+z9pFHVq/TXWCEZrXL823haNWOD2C4H7pCftfaLJPpxO+PPnwPG8lLANAHnC8aPlOLX4ZaE+pg5DmRJCEI2xKHiD1D2NG2Om6RM8D0WiY270RUOYaTvyvJiozjnSeUz6JS/Oq0FqxCLX/peG0a7W72u76/tgH+IeaxxVywkA+bbEcJ9zPtKc9Z7/f1X86hFFAbU9hrlp1QAADLxJREFU+vSGPt4lViKZ76IxeRtN0YX20w/I7uRcR3gp55yah33OqdgGny8UOpl1pWld9LtBdedAT2qVt6Tuft5nDfEg1fvm8+kwCzLvxRK/SabaWfYHAHZEE7wp2ueNiM/RkfrO6sNSg51MEo7vgcwZ2WpxDsm78ozuydzc47m5PpD4lRrtLVnHBKkzjIT7Nmg96NVitJ1IOB5PJuzDIBTzAo7K/DyZjTHGGGOMmTBeDBtjjDHGmIXFi2FjjDHGGLOweDFsjDHGGGMWlqkm0IUQaHMGTXjSjRvKNn4AigltV69yYXFNcLp16xbZjx8/Jvu1114ju9HgIv2a9LcqIvBXXnml4KN+RjcCuXfvHtm6SYe2U9nmEGUbYoxLVtPEL00ELOsLbSdNdtTEMU1s1EQzYPxGHId5X9F2KEsS1GTM69e5gDxQ9LtsM5F52nQjQkAzft5mZ4Iku0lSx0rM7dVrcqwAQHaOv7Nb4/jNN6SgfYf7bCBJeisX+Hw/sMY+XMj5/Gu1F8luNHjzCgDo1fk+U92sZSAJOD0ZR5JgFw34HuKU7yFKOfEEuhHQoJg0FA04ASdkkvgliUaZJCJmksgUSXKbbnaQa/KpbqgBIJfMo1CyaUYimYWxbPxRk2SqROxYNlCJ+4/I7vWL46+XcnJTKu2SSmLhbtnGH1UiApLk+VhLxfVOhxO5l7VPl3kTBACIatzGTdkgZtDbPxkcGV/j9BL3YV/GTK+w8ZYk7TaKG/l0ZN5Za9/ic9y+RHZ3k+eE9pL8Jii5o1FPktU2OWkw7/CGGtsZ2wDwGPydjZjHmW4lokm15+rsw3pNEoUlsXhJ7qkZis/vqCT5TOeATsT2dsR99VDSTR9k7EMq42014mTWVR07AM5lnPwYgft/I+IYv9sonuOg+JdhY4wxxhizsHgxbIwxxhhjFhYvho0xxhhjzMIyU83wYfWV43Sr+hnVEL/wwgtkq8ZTN8149dVXyVbN8eYmF88+efIk2aqdBYC1NS5EfuXKFbLPnj1L9ocffki2aoo7UlS8TDvbbDb3fR8ob2vdgEI1wMvLy/u+fxTKtNFltvqg403fV42wbshS0MOh2E6qhS7TJVedve7XRNPZwrJ8WHRucVEH3m/ysfoZ1pm15ZTdLo+BtRrbF85w+14QjeLqgPX6UcKxmCVjNodZ5mP1lsw7MrTTPo+LvCebQYhGOOly/EZ9HndIOWcgZPI+gFQ1wtgVW7SwskFFKkX+B6L3S8XuiZ2hmHeguxfotNRQjTD21zXWRR/YBM9jQXZD6Ym2Oi1s+gH0Chrh/bfV2J1gUf+PmiTKcar+/P7Wo5fo/VrEYz/EsgnCmOerPllqCQdoPeE+yaW9lhr8+TMS/9sSK5lcMc55jHSz4rh7mPDYb2Sc27EmG62sbJ1mn2OO91zuEbKpRt5lTfBWxs+J7ycPCz5+kPN9b+UcCwOJhZoMu2XZiGc9cG7FS+C+PlG7SHbULOrBszrfZxizYRidQzT4cZfbtTfgDVYeR2y3ZY5KBnyTjby4TqlFPCY7OZ+jE+mGZUfX+PuXYWOMMcYYs7B4MWyMMcYYYxYWL4aNMcYYY8zCMlXNMMAaStVPlmlbtU7suHOotnV9nbUyWif4/PnzZGvdYdXrXr58mexr167te30AWFpa2tdWnfPFi6z30TrF9+/fJ3tnZ/9aj2Xa7HFonWHV16o2Wm3Vziral+Pq76qf4+oj73eOMg3x06dcc/TRI65TqvegtZPHXUO/o9fUdq0yeYjQyZ77266zXqsFHscN0XiuhOK9nol5bJ5ocp9269yenSb36XKdz7ku7X82ldiqsz4wTaVuqRYVBZAmHC95S34zaEhNbqmFir7UJW6wHW2znbRlnAZuoywbE6+RanilbrfUGe7EbPej/TXBqWg383EaYUF/WUnkiNYdLpP35VLXtCe6y0EqNYHlntO4+LzIc8lLkVqq6lI/m/oj8si0EOFK/Nzfkydep/cHa+fI7i5JfsuYfIbaDrdpTeqCN3N+9vQC69vrCWs+lzO+xinRda+2uL23RV/fyYo+3pE55ZHkKrRi1vi2RNfcSEXn3JP4ledOO/AaQq93Jy36uD1gfW6aiV5bwqvRkDyDhMf6ltTXXZc5IxI9eF4rPruyFs+VeSI5NqLPjuX5GkU8d0aaEyCa/kTapSa1kZOoOBdnounvyzyntY/zvJizdVD8y7AxxhhjjFlYvBg2xhhjjDELixfDxhhjjDFmYZmpIOqwNVjHaUbLdKWq4VU9rmo433vvPbKvXr1K9ptvvkm26lTffffdgo9l2mjV26pPeg+nTp0iWzXHZfV5tdbyQVCf9J5Up1xmq2Z4nI5Z27ZMM1xWp3prS/aH3+A6idoP4/TfitYZLtNaH+ScVSFLEzx98Fyv/s8vcPudqt3WrxCbg2Ld0k7K2rVcdGVaq1jf3xId2wPRLN5bYi3dxsotsk9scw3SE/eLGrOV+6wzbtXYThKtqa36Pxn7UhO4k/O4exy4dvlTqcf5RPSBALCd8FjvytjvBB53PanX2hd7IPJaDccQtGZ3ed5BTXTJidQErcXcl6oYDHm2r51Da9Bi3/dHJ+HPyJyi33n6iGvzVpkuAr6zZ867uMPPotU2588kEY/9LBTH2WbgsfohOK/ikWg4uzUeF21w/D7elT6NOR+mGfGzbHvAsbC9VXx2hUz7ORJLbPl4LAMvSqSevObc5DyHZX32OdspjrtCCMs8ps/TXp3PcW+F221zldvlVvN7ZP9g73/JfrFTHMfL4PrKsSwHM9Ehd2Re2oxYH/4wZ333A3nGDyTCExTzhBR94rflQLvLY3jwoKiNPij+ZdgYY4wxxiwsXgwbY4wxxpiFxYthY4wxxhizsEQHqTk7QR4CuA3gHCDio+phHyeDfdyfHwJQ3Di+GjheJ4t9nAyO1/E8i1fA/Tgp7ONkmJWPB47XaS+Gn/FvAH5yFhc+BPZxMtjH+Wce2sc+Tgb7+PFgHtrIPk4G+zgBLJMwxhhjjDELixfDxhhjjDFmYUnefvvtWV3732d14UNgHyeDfZx/5qF97ONksI8fD+ahjezjZLCPx2RWmmFjjDHGGGNmjmUSxhhjjDFmYZn2YvjnAfwPgPcBfGHK196PPwfwAMC39xw7A+BrAK6P/jw95nvT4iKAbwD4bwDvAfj86HiVfGwB+CaA/8TQx98fHb8M4F8w7PO/BlDc/3b6JAC+BeCrI7uKPlaFKsZs1eMVcMxOGsfswXC8Hg3H62SZu3id5mI4AfCnAH4BwCsAfn30ZxX4EoaTyF6+AODrAK6M/pzlxJIC+E0M2+uTAD43+nuVfOwB+FkAPwbgxzFsz08C+AMAfwTgZQCbAD47Kwf38HkA39ljV9HHKlDVmP0Sqh2vgGN20jhmy3G8Hh3H62SZu3id5mL4dQz/VXATQB/AXwH41BSvvx/vAtiQY58C8OXR378M4Fem6hFzF8B/jP6+jeEg+wSq5WMAsDP6e330ChgG79+Ojs/aRwC4AOAXAfzZyI5QPR+rQlVjturxCjhmJ4lj9mA4Xo+O43VyzGW8TnMx/AkAd/bYH4yOVZUXMQwQALg3sqvAJQA/geF/OVTNxwTANQz/S+xrAG4AeILhv7qBavT5HwP4LQD5yD6L6vlYFeYpZqsWC3u5BMfscXDMHgzH62S4BMfrcZjLeHUC3cEIo9esWQHwdwB+A8CWvFcFHzMM//vmAoa/UvzIbN0p8EsYTiKVLvFijk0VYuEZjtnj4Zj9+FOFOHiG4/V4zG281qZ4re9jKFJ/xoXRsapyH8BLGP6r8CUMO3iW1DEM0r8A8PejY1Xz8RlPMExG+CkApzAcZylm3+c/DeCXAbyFYTLCGoA/QbV8rBLzFLNVjAXH7PFxzB4cx+vxcLwen7mN12n+MvyvGIrQL2OYSfhrAL4yxesflq8A+Mzo758B8A8z9CUC8EUMdUx/uOd4lXxcx3DAA8ASgJ/D0N9vAPjV0fFZ+/g7GAbiJQzH3z8B+DSq5WOVmKeYrVIsAI7ZSeGYPTiO16PjeJ0M8xuvIYRpvt4KIXw3hHAjhPC7U772fq+/DCHcDSEMQggfhBA+G0I4G0L4egjhegjhH0MIZ2bo38+EIf8VQrg2er1VMR9/NITwrZGP3w4h/N7o+A+HEL4ZQng/hPA3IYRmBfobIYQ3QghfrbiPVXhVMWarHq8IjtmP4vVGcMyWvRyvR3s5Xif/eiPMUbx6BzpjjDHGGLOwOIHOGGOMMcYsLF4MG2OMMcaYhcWLYWOMMcYYs7B4MWyMMcYYYxYWL4aNMcYYY8zC4sWwMcYYY4xZWLwYNsYYY4wxC4sXw8YYY4wxZmH5P7o+gzDg45q1AAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 864x288 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x288 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x288 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x288 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x288 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x288 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x288 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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GGGOMMWZhOXDN8KyGl3reS5cuhZia4ib9JTW/g8EgueYs1A9xf+pE2zTB3L4bv1zeR9vSx23etW3xbpZG3qvXcVuZ9qoRbipTovVqOWfbs27TXlMTzPM3Hd+2DHXqs3mIVmGsY50mHtzQICb6vwYRYpnI7/CM2/Tx1BgnWrmiZTvbaXqJtuWU62QpY2yHDzH1vDV1qtQEc1nThipJPsvZ78z3KaVQOdHjJ8u5tugmm87Rpq1s02oma/dyc4tGuUnOSkl5m5/yIfu5qJq5wbpm/4j+jFrbxqXJ5z8zalMLaFsTi23mAtoIHyHLRA/hpp1YBvp2p+8V5Ir4Tsf1Emks8j0VVid9Y8klpNkH0P4aZ6CmuMjna7OLBg1xm6447RJQr/Qhpo45uR6eE9cNaCzP3kTkt/J6PWSpbowxxhhjzP7hwbAxxhhjjFlYPBg2xhhjjDELy4Fqhuu6Dhpf+ghTM0z97traWnJO6oqpIW7zlqV+iNds84mlz3GTrrTNR5jXbNPjtvkUt3EzuuY29qqtJk0ewm26ZT77tmfNeuazaysjj5ekXg9ro7eU4TBRZ1I9UyfU+zLOoJVVP21DNfV88ASlaDArqcdraVcQ06ay1fm6NinV9yX6W2qh6X/L20Yvm7PXpW6V+sE8LVHRgV6POuNUwR2iWvP9mxPPYOoky4Y+Z4K6py0ptZvpGQKJzJnPDufPJzh/mV6hHtH7mGXEsxy1+ejeWQRdJzXDNTXD8Vjqe5PzqeHXM+g8u3go1IHmzE8UokR/MOEzbtCVJm0X58yTdse5J9yO45N3G3MJ823GTeLrFq0rc74bb5zPSsV8jXAHGuJOQ7316GWcaILnz88oa/Yh88cA9BXucL5Vw/u3iwbX6WBdiV7coezG9/Fe8C/DxhhjjDFmYfFg2BhjjDHGLCweDBtjjDHGmIXFg2FjjDHGGLOwHPiiG7OLXHACHScorayshJiTlSRpOBwm15ilbXIZr8lrtE2q2s3EM56D19jrhLi9Tnbb6+ITTex1AlzbIh5txzcdwwlvXBRjrwt7MG5rC5yw17QPJ3AeqkU2SC3VM5MkKk7C4OwGTphrmsvAc3CWFSd6cf4SJuBwgYxknkoy+WwXi0dwYQZO+plfpOSayYQ6Hp8UgZMC02M4WSVZJCOZONhiXs9FOJLJb4g5e1JSPcGzw4Q2IX0yTnBjvSdNpWUBCNbBOO1zigkmlfE+OHm5PDwTYuud/70eI3m4mARfA3nDRM2MCxnlnBAX9+cEOs41ZVsfswngoXcwq69pYQZOkOtxURtODEM9lDXjWOgxVsmZoM2MJ7HNlFU6rGJucPZxshAI6q1kvRfskzixOB7PRTuktN46mj9pL1kUB/DZcfIla6WDjnPSsEpOwQWOeF+YeFhylt4e8C/DxhhjjDFmYfFg2BhjjDHGLCweDBtjjDHGmIXlQDXDZVnq8uXLr8fU+66vr4eYmuEm/SV1ntvb2yGmnrbf74d4aWlpbnyrC1xIqdaU2leWkdpX3iPLsFddc5M+t402vW3bOduO5z1L7Ytu8Jg2vXibrrltcRS2Vyl9NodaI5xQq5zRWCaLHvRj/eTLeMa99JnWWfyMCyOw+mh4n0MPWHSwkAD1ug06yHB9ivMkVShTlSww0WKgn7QB6nvRLhP9IA6n3lBSxd8xEoFtizaammBKYys8y2TRjaRIyQoJGQWhXMCCGv90mY24nZphkHGFhklaSGpgc/a9yUoUh+v3omomvzI85AzJk+gvsybN5t50pUuJxjPGI2r+a7YzzIdBG1gtUg33GnTKR3COpWz+MKdE4x7iHgeolw00w8toZ1cbrjGp4gSK1kVuKs65gTYWevwci/CUeJfxHiWpSCYaRDo4JFlLiH0ztmf4hNtLnHG7HolwQZPknOzf97ZWWDzXzR9qjDHGGGPM4caDYWOMMcYYs7B4MGyMMcYYYxaWA/cZpqZ3Fmo2qcdcXl5OjqFulPrcI0eOhHh1dTXE1Agnfn/USbZoXakHllLtKeExbf66bV7I1EXvRmO8Vw1w2/G8B+qi2zTETedo0/iynnZzjXnHsx6bniP3YZtl+7gZvfbtoha8JRMP3xjST7fJ/7qkbjubr+HsQLhGzXCTN2ooU9Ku4/aqStsE9Xo8hp69Ge4h8fykd3KiF0RFVvyNouEek/uijyl2531yOzSIWVJRPF9aphrayWyMtk+f7oqFmP/bTJI71CwmZW7wzZ17hfRZpTrmO5la9UyfmTQz6lJ5r00+wxCT96gRhqa6l7GP5jOKx3eTS8brrSK37lXsXyXpnirONTqe3RuvkcXt7LhqRa3quI7rH2xUl0N8KY+q4Be6WyEelg39HryI2cekGn+coOKzA5xrgT2KhmYMi171UKQlnLSo52uEc/Zz9HdGfo5xgnRGjjSBCLjGSyaZI9J0o7vEvwwbY4wxxpiFxYNhY4wxxhizsHgwbIwxxhhjFpYD1wxvbFzX41BveezYsRDfddddId7aitocKdWR8Zz0Lqamkxrj0Sjqh9o0wbzebvS4bV7F1MqyTKyHNm9k0qZhbqLNs5f3yGu06ZZ5z1L7s+I52/ya2zTHPD/rtaneuA/bx2HWDKuG7BL6vwJ6wYL6rnH6TOsJ9XT0HY3bKfus4F1Lf9xE859oZ5EbkLFKSvS0LEQi8e0iN+CFSi01uwjqeROX4pvSwbVohOkBjJiaYGqIqQ+WpIxtnRrhSezHajy8jJrhFr/mRPPa4nsqSTmuUbFfavHJvZOpa6mceY4l2nqngN4W98YmMT0pPO85PwX1t8R5GokNbD03XkVy3ac4JrgvezgpYn/t8RAPj98X4tEaPH5RqGwY22FncxDie66eD/GJwbMhLurPh/h8Nx4vScNOrPuaglnWPfsICHw76GN6iJeL+dprSepBA9zT/Jga4BLxAHrvEbaPkO/b2P9yg+f7uKLWmnOPOJnBmmFjjDHGGGP2jAfDxhhjjDFmYfFg2BhjjDHGLCwHrhkeDK7rad785jeH7adOnQrxcDicG1875yz04KWGk+e4dOlSiKnHbdMQUzNKX+OmMrV57rLMLEObhy+9nFlm6px3UyZqMds0wG363DbN8W6OadIZ38rxfPaXL0d/SWqYpXZtdJuH9J3OrG9pBya/nSLee1VCV9qgx6XGlzrRRAMMrVwJb9pqQu0rjkeZctiAd1Jb8NRDl/a2HWjT+8gVxqKXMi6Y+Ocybigj84X1mpiAUoQIbWeHGuP5fuvNYJ/yFn9radFRJj6mzK1d6AfbvMgPk2ZYdXxO7JuYr1Js/DmTT1IPmkxqguObTYJUVR08kw5yawUa0BP1WoyL++Pxq3HMIEnDI3eHeHQS83hW+e6KZSrH8Z6G/fhOz+oTIe6O45hheQRffzWspUAf4Rbo+VygYrstGuE19CFrDe14BXM8etCY9zF/gxrhLfozoz1toc/YKGMZtlHv22X6fi3L+UNUTo9qsSqff66bP9QYY4wxxpjDzW4Gw/9A0quSPjvz2QlJvyjpSzv/Pb7/RTPG3CTOWWMOD85XY24zuxkM/7Skb8NnPyTpI5Ie3/nvD+1vsYwxt8BPyzlrzGHhp+V8Nea2shvN8C9Lehif/W5J37Lz/z8g6aOSfrDtREVRBE0tfYXJbvSW1EVRw0sd6Isvvhji06dPh3jWB7np/GtrUdNEqA+WpOPHj8+NV1ZWQtzmbcx6mNVhSzenz+V9UkNMuL3N45dlZkyPX6nBM7ZF89umc+b+1I+zHqm9btJat2nU2zTEbxD7lrOz5S8o0KJEE8fWo1RnmlM7B61qDQ3waBx1aUkuTNAG4NmbQweXwfu4HDX0KfRGTbxToW3rwUM0yTe0Y4phEz0vQhZoelKUiZpf1CvFdAVzJblA3J74Fjf4qQ94jfm+wRlzgfmL8ycaYeZ3ibbAelUqxyZ5u1z7jWBf8jXLpKJzvc67eMYZtLIF9MBHirRvWkMNLKEP6CJ9SvTjNfKzBx35muK7b71zMsR5HvW6w4Z2V2FOTb0FX2G+y3rwuMdt5/AdzgbxPTCGZvhyvRnirQatfDnCO5k23WiYeRF36GBywwri1Szuv4rntl6lQ71jWo7nrGO8pNUQTzAJ5EJ2IcSbimOnbbSNDXgrD8bxuUzSrliJD31O/Tf2bsj53XKzmuF7Jb288//P7sTGmDsX56wxhwfnqzEHyH64SdRKv8TP8gM7/xpn4xtjDpx5Oft6vh4/fvTACmSMuSG7y9ejzldjbpab/WX4FUnXPE/u11T8fyN+UtITkp5o+lO4MeZA2G3Ovp6vFy9evsEuxpg3mL3n62XnqzE3y83+MvzPJT0p6a/v/PfndnNQt9vVAw888Hq8vr4etlMPSN1pE9RsUiP86U9/OsRPP/10iK9evRpiDtipQ23zlaXOtOkY6prvuy+upU7/ZWqMWS+MWebl5agFom+xlOoceU5uTzwsEbf5Erddrwmeg39p4LPjNdr8m6khpsZ4N3/ZYBkJ6+kA2XPOZlkWypvTE7jNi7ZBj0tFVwXf0UEZn8FoMt9jm2WgP26OZkXNcD1Kv6Bn8DJmmTvwIS2KqK3LO7Gd0As5g4Qxp68x67mpSTXpiMNJW7yLEz0vdcxzw0RnKUlV4j0e23ri39zm4UtNcDKHAO2LcwiaFL+tfsmJmfHtYu/v2CxTpzuTr9CdptUPL9sGQXWH2nHU8cYAfSbyqQ8Nf6+O7+sOnYqzu0I4WI4a4lEnvsskqRTeVQPM+8ljO+xBP5tTTztCpzGOc0kmVXzHj6DXbdK+su1yvkWSrw2K+RiirTNXkFtVQ0OucI4Cw8Fuhn5OsV9bgla6A80wulqNJlhPgfMamjo6pGOO+0i6kDfYZ/ifSPp3kr5a0mlJ369pgr5fU9uX37YTG2PuDJyzxhwenK/G3GZ28zPVd93g82/dz4IYY/YN56wxhwfnqzG3Ga9AZ4wxxhhjFpYDFTB2Op3gLUwNZ5sHa5NmkzrPT3ziEyH+whe+EOIrV66EuM3Tl/651EVSs8zySNIXv/jFEG9ubib7zPKWt7wlxI8//niIH3rooRBTe30Us4pvRp/L+27zOuZ26pb3qr1u+myvuuY2DTqfFfXeLHObHng3++zmHHcKWRa9hWuIDumVmUGvmzWI5yo8g0EZNYajKsYldaAUPkKYluhvk+Phd93Q54xatOPC9g4EgN0y+lF31mK/lecxtzrQVtMqs+ynbSbDZ1mPumR67lIwynkG2Iz9aVOcaI4lVdCHChpBdSGWTmSQyGfqVRNf4fmC3kZP4eQ+qZ1GeEBGw/tBlmUqwnNhfwk9PW521PBMN5Hkm+gj6fHbY/7h97aVKuZCL496+3r5nhAPT0af4fFa+kAmBXT/WdT4DrC5M4nv7N4k5uvyNubkwOuc8xQ6fLdlDfMQqN8uqE1n246bx+O4/xCdRFTrSmM0/lGW9nOTPM6voqy5qGO+ZpzswP3RnjgfJNFNJ7nW4EsvvmTmhs3zBHbJ4XkzG2OMMcYYs894MGyMMcYYYxYWD4aNMcYYY8zCcqCa4clkoosXL74et/nnEmo4JenFF18M8fnz50NMXeiZM2dC/MILL8y95okTUbNEfe6sb7KUegRLUr8fNUnPPvtsiFnmp556KsQXLsQ1wF966aUQP/LIIyE+depUiFmvd999d1JGQp3kYBB1WG1+zNTGUiPM8zf571K33BbzmvQRZpnZNi7DtJ71xufYROKDW9MX8fCIEOs6anYziMRSCRjulT6wkibD2I5q5jziCs9oTE0+dGkdtIkM7YrzDrpL6TPN8NkIXqolbnw4wvYtlAm6yy58T7MR9PXQFOdqKCPuUwjpK5pn1ABTU4zzc3/NnwMwLRM+6OAYalJRhhq/zVBjSElymWjSWY9JEZN96owxdz9M+VqrLK/XCTX+1HgmUvgqrbDBOLbtrTF1yLF+uiW828dRq9pBnzDoRN1qBxr+Gtra/no6b2i5O//GhuOYf9ubmBOwGbfnV+N7ohjEMlLGSo1/o1idjTexyEa+su+Exp8+w+yMazzsSYOWdiPDOxha677iGgz0iK7o75x4ePN9EfdPfK13k2ts0vPtl/eEfxk2xhhjjDELiwfDxhhjjDFmYfFg2BhjjDH/86AJAAAgAElEQVTGLCwHqhnO81wrKyuvx22+sNSEUgPaRJt2lZrBe+6JvoY8fnk5roVOnenHP/7xEFMHLUkPPvhgiE+ejOutU4/Lerh6NWp3qHOmlnVtbS3EvMcm7SvrhfVALSy9klkvfHazz72pjE1latMV8xptXsZtntKsZ5apSdOe6qQiLFPb/ncUmZR3rtcxJYV1o5Hr7A67+Ayawgw5ng+ir2mnxP7Q12ZFbMdlP27f6EK3FtN7eo0OcmELNz6EXh6iwRJavBr7U2NY0QK036K1laSCGt64mc2shNazgpFp0YHXMT2+KUouU30f2zZ1i5QUk8QjFAJAtrcqoy6a5Wm6CO4LumYWsk4EoXcuWSblM+VNbx8e29hhRF2rpHEZK2Rzgvyifrak5jdecxu5MVR8j6xung3x5JWYoIN+nLMjSUfvjuU+shS1rYMi9imTCXTPV+GZz/fxOMYFhk3dDPNhKCqWVE/QsCYU6UPsmkNrLeh5ob9dhdh9FQL+plY8RoJcUbxmN4vPZknxHZ/kI9/XaG8F45x6/bSUJV46Je6zosi/fQmFG+Jfho0xxhhjzMLiwbAxxhhjjFlYPBg2xhhjjDELiwfDxhhjjDFmYTnQCXRFUYRFKzgJi5M2GG9vx8k0UrooxhNPPBHi1157LcRve9vb5pbx0qVLIeaCGF/4whdCfPr06RA///zzyTm3tqJp9zve8Y65ZfjKV74S4l4vTgjgZDfWI7dzshq3S+lkNEJxPCefsZ5eeeWVELNejx07FuKHH344uebRo0dDzMmMS0tLc2PSNmGTsP217S+1T5g7TItuZMqUz0xQq1rKzkU3uPCDlLazZbTFEhNDJsJkNsVcKPO4fbKMSY8rWMSjcyXEnX46KTfvxHaULR8Jcb0ZyzAZYUIdJiJxbkyFdpSjG2a721Wbqdju5k80wTynZJJfheeQ1bGeO0Wsg+k+WEwEk4Y4oS3nfSVdEO97vkl/MqEzWUFDyc8/TZN2Di11pqy+foNcVKNOFk6J29nHS1JeYLJYPz53TpjjAjGdIm6fYJLWxiS+G/ujL8fjX43lmRRvScp4uYv3wj3oAzCZbLIV77N3NfYB3c24yNV4gkL00Ufl6GMaFi9hW0zW6Shi2+13Y5mOZnHy2tFRvIcjmOi4judWd9MynS2woAoaxBYm8fUw+bSPeIuz15CO3Wz+BLqyYZrfJFmIJ24vS9yXF90wxhhjjDFm73gwbIwxxhhjFhYPho0xxhhjzMJyoJrhqqrCAhPjcdSpcWEG6gubFrTgMVz8gbrTL385apLOnTsX4lOnToX4oYceCvGjjz4a4ve+970hplZWShfduP/++0P8sz/7syHmIhlXrkSdI+vlrrvuCvHNaGt5DPXZXHDixRdfDPGnPvWpED/33HMhvnjxYoh5D/fdd19SpkceeSTE1BXP6s+l9FlTl0zNL+O2BVuaNHVtmuBkIYJDtOhGrSjBSu410WTGuCjS7qXG4g412lUODXEFTSK1r5211Xj88agXXDoR2/E6FlI52vQ4OrFtnsMCE6++EvV8HexfDnDSMeoFi8FkMO1Xh3Gqpcuh16vGaJuTeMx4FOtxMIn3MK5jXEP/V9exr+4Uqda6h8VKOlnUlxZ1rKcC+VVQH4jz1zTUZ3uk5rBhURhqhGv+HMSFO5Iz3MHU0uxjmkBHSo12nsUKXWpoZ/ykwjMqucgNFnfZKrEQA/K7WI7bx/34njg1fjbE927EfJek+vxXhXi4GufIXLkU35+rpzdCnF2IY4LNcZyzM+lGXXMH2vjLORajqNIFpPIuNfxYMKYX83MVi5HcM4jP6uQo1sNqFd99vSzWwTC/nJSp6mN+FPrrTdwHFxda7XJRDfQ5SJ4C+dih3LdxIZ8YJ4twcKGYyc1nrH8ZNsYYY4wxC4sHw8YYY4wxZmHxYNgYY4wxxiwsB64ZnvXEpSaTmkRqijc2otZHSj12qUWlp+5jjz0295qf+cxnQtyHxvDkyZMhvvvuu0PcpGtmGagBfte73hXiL33pSyH+qq+KmqiXX345xEeORB9UlpHbV1dT3RW9jKm9pub3s5/9bIjpjUzNMZ/1aBQ1h2fOnEnKxH3o10xNMOueenJqivnsWS/UCO9G79ukK97L9juN2XuuoaDMWR0wgSwbTB9ZhdRYZ9Ag9ldjPCrgbQnNYXc99hH3rQxC/Gboe++voz5fkibQy34+vxri6mQ8x4WL8C0toiZ/shHPR+1sDh9U9mFZlv5mQX0svY3LUbzmcDvm86SMfSu1s9Rmwx5Wk0TA23AO+AZTE0zNcI5r5gVNgWNI3XQiKr4JfX6TNfGhoa5Vz2jHSz4iNqNkDkD6TIs6tu1+Dr95tN0Kvt9jCEfPb8d8vIpO5Dx0qFe7cQ7OY1Vaxvteje+aevTWEB/H3JDhxadCvJnFtQJeKeLaBCW01H34kF9FvTbla9HF3JGkMcd33fI45uvaOM7pWa3jO30pj+/8vIiaYTXocZeHcRyhTrzmiD7VmNvAtrFcYG4E7rGDeiyYnnn6vhiULd7h1AzbZ9gYY4wxxpi948GwMcYYY4xZWDwYNsYYY4wxC8uBaobrug46UOpU6WVL3Sn1wVKqr2vTIVO/+853vjPE1Nt+/OMfD/HTTz8dYupWeU9NZWAZqUv+uq/7uhDTD5c+wSwztbH0420qI+uRel36Bp89ezbE58+fDzG1oNRW0xuZumYpvW/eJzW+ly5F30TqkOkZzTIxpmc0y7MIBEkWPVipKYO+q0ljnVEHCi/amvm7FLuo7tFYiJPrUX9/FP6cD8Nv981V9LM+1o1e1pJUVbHt59UXQlz0o2dneSzm7+aleM1uD96qI2jn8vl9WOr2qkQ7Rw3ieBI1wZMaHtvQh2Z4lt0ansFo+kUq3ZSghy9yeEjjbcMyldCcd1BvHfRR1CCXFXTQVYNmGF6pdcV6jGSHyGm4llRPrj+DegI9LzTc2Nyose5D09uBKHOC+hnABzbLoJ+vYr5f2Yq5dmEztokLS7ENXexB5yrpkTLOZ3n4lbhPDq3ruU7c/qpiH7KBxl2hz1oq4NmNPox+vJKUw189R/7VZRzrdDEWypB/FRK26MYy9vpxvsxSQzO+fxLfd1kn9mvn8njRbXiTL6G/70IvPkG+1kL+8h4bBL+buM8a+1Rob405v0v8y7AxxhhjjFlYPBg2xhhjjDELiwfDxhhjjDFmYTlwzTB1wbMMBtGD8PLlqGGhrrUJ7kN9bOJrivjhhx8O8alTp0JMD+BnnnkmxNQ5N5WJ2lNqBDsd6CShc6Z2ln66bTrq3cC6byszy8R6euGFF0JMrfbycvRRlFLtM3XLX/3VXx3i+++/P8T0PiasJ7ZN+lw3QV0sfYRZT2xvdzSZpNnyouyVqBGGBqzhXmt4UWaI6yXk+Hrc3jsavTDvX43XfFhRw39yGHXla2P4cebw45SU5/G5rw3jPqtZ1Bh2i5ZnDk1wkdFsGQVgH9Ugg+NHZQltHQ9CtXY68+cIjEexDpYn0D03yOfzJH+i53NvOfZT3Q40htQQJrlDI2O8S8axUE2ZVuesW56zve7vWGoF3S+LTr2lqlhf9IWVpC7ifovNK9v2Bq5ZwIN7qRfzcwjd99Ygvk9fVhwjSNKoF9vudvblEPcwzLmQxWtcxX1PkK9Cu9um9S3bUAMFPHQr9DEZ2jLTa7sT9x+PXg3xFtZgOFHGuRPdbjp2SuYuxWrU3f349CuMQ7IxNb7xfJvzrcqTttWUap2cfet8I+FbyVf/MmyMMcYYYxaW3QyGH5L0S5KekvQ5SX9y5/MTkn5R0pd2/psuvWaMOWicr8YcLpyzxtxmdjMYnkj605LeJuk3SvrPd/7/D0n6iKTHd/77Q29QGY0xu8f5aszhwjlrzG1mN5rhl3f+SdJVSU9LekDS75b0LTuff0DSRyX9YNvJ5mkmt7a2Qky9b5OulJ671IE2eZ3OK89wGDWJPP6xxx4L8Zve9KYQX7hwIbnG1atX556TZaCfMrWs1PqwnlgnbXUgpXXP+L77oj/r29/+9hBTX0ud8y//8i+H+FOf+lSImzykv/EbvzHE99xzT4g/8pGPhPibv/mbQ0wP6LW1VB86C3XSNwOfTVv8BrCv+RqUl5Cd1RO0q0Qrm+Z6kv9Yr17L0M+vRyHb0eWYnydx+Bp8TPu96AGMZqlOHb2pJWkwifq7wVLUKU4yaOdK6GlhqJvBE5geo4n38i6aSF3N998soL1egheqqMUbxXjzStRqJjrJxKRWWoHqL4cR9ebF6EW+shrzMcezKuAZmkEXXVLTX1KV2ND+6GNd8saSQw6C/clZaPxz+OV2OvCJ7cbt/SKtryXoZ3vJvIFIUc/3Id6G93SNxt4pYhvoQFeedeJ2Sdou4rvqVZhid1GGq2XMzyGEz4l3Le55VMUy5WWso6YRTgGNMDXDOeYJDVAPr8Bvd5DFfrDairl1ZBi9lNerqNeXpPXlqNfOOSdrI/Z765ybhLYxgWC3hEp4iPxcwbNv6vaW0V6GnH9V4Jq38Hrd66EPS/p6Sb8q6V5dT+CzO7Ex5s7hYTlfjTlMPCznrDEHzl7cJNYk/VNJ/7WEJVt25rHe4Lgf2Pm3KzcIY8y+cMv5egxuHsaYN5SbydnX8/X40XQVT2PM7tjtL8NdTZP0H0v6ZzufvSLpmpfV/ZJebThOkn5S0hOSnphnq2aM2Tf2JV8v7YNsxBizK242Z1/P14uXOX42xuyW3fwynEn6KU11TD8+8/k/l/SkpL++89+faztRnudBz0qdKfWU1AhTCyulGkSek76vbb7D3M7j6YVM6I3bdE7qknlO6m2pdaUGmL7E3J/na9KtUuvc70O/1+LfzGf1/ve/P8Rf//VfH+IzZ86E+Ju+6ZuSMj377LMhpvb67rvj2urU/L7tbW8LcZtmmF/WWK9N2uu2L3i3QTO8b/kqZco618tbJd618GSlh2vDvdLnVdB8aQl6v17M5yVoXQt4gI6hrdusohZ9qJh7yqLWTpI2iqiXfUUxPj+J1xyNYy7kNXy+WW9daIpX4vF1H39Ba/iDWtLuuqj7xC8XuuVOvIf1pZi/y6uxTKNBrNflMs2l6uWYnxX64k4XfSuO77OfYv6hr2bc4Grd8Al0yNyFxrm7mG+xD+xLzk4lwzPlT8qONpCxb7rBSWdDnJOHdPBMUhky5vRQn4v05BUq9biDtmsWEu/TLPYpFe6hQCGpMU6cbVFvFXyG64aWmHhoJ9rreI4N9CHbqLdJP46Fyk7Mx60KFbmajp1y+HIvo1/rQ68taPgxPUNj9OWjlnpMWmfDfDI+7SKf79F+Kz7DuxkM/yZJf1jSZyT9+s5nf07TBP2wpO+X9IKk33/zxTDG7BPOV2MOF85ZY24zuxkM/xs1T5CUpG/dx7IYY24d56sxhwvnrDG3Ga9AZ4wxxhhjFpa9uEncMnVdazK5rlOhHpc6VepSm/S61AgzbnOwoC60TUNMzefs/UipHrjpGrxvxty/TWe6Av8/6ndZB9vbUQMpSRtY25znOHXqVIhffjn6GFKvy2dFn+Kv/dqvDXFTvfGa9A3mOY8cibOpqd+mdprexqwntoUmfTD3YdzmKX1Hk0nVbHk7vBf4CuPHrZL6LkkqqHWFTrsf4yKLMW1hr9LXNIteqh2k/wTPY7NK17q/inhjEvNxYzu2o2oQ+618gjaBXjaDl3IWm7Vy1EGdFlH1IPY79DrtwEt1Mor9Yglf4TpjXwxN8ZEYD7fp6SvVo+hb2l2KfWcxwbOFT2nWg0YR+nJ6KycVU0Nh2PBs2UZJkq8NdX/HUivoOkuYrmbwvx4hl7bKmDuSlGf0BY4UqM8xqndcxWdcUssOv+qcXSy8zOtJOmSZ9OM5t1DIfi++W450Yy4cxTyEFdwTZM26iP230EYGo7SNjfBZhx1THts+xxVb6PjGqIcC/svL/TgmuJKKsbWO/ryTUyMcb2yMIm8VsR43INhlmZPWg2qilluSSs1/v4p68Zb8nod/GTbGGGOMMQuLB8PGGGOMMWZh8WDYGGOMMcYsLAeuGZ7V9FILS80mfWUZN0G9LXWi1LK2aYKpIWvTgPL6UrM/8izUB7XVC6+xuhq1erwn7n/x4sWkDG06ZXr00jf4U5/6VIjPn4/+radPnw4x9bonTpxIykTdMjXAjz76aIjb9LhbW3ENe+rL27TdTedv83ymzvgwLTxT17y/+fVbQcNZ1U33yvqK++QQDVbwttyGF+YYX+dZQqrQJtAwbvMEkkZjPMNR3Kcc4Cqb8G8do4/A+TN4/OZd+J52oYMeN2hfaeCKqs7hfdovYi6NxrEfrMZRLzopmBvwd4a8UJKqdfRznRh3OPehRd5XltA1xyKphhibEvW6KdcSb+L58WGillTP5ktFzXVs+6NxrJ/tBnF6t8B8FvqEtyRcTl9nus12+YzQRhIz2rSMBfKnB839eje+X+/DJe5WzI1jiu/TErrp14oB4tgwX2lod5DwJ3MZCr5b8vgO39iO19hCLowhAK9QhM5K2s9Nesgv9inIrwE6mUt4OBuYKzFkGfBsuznfr02+4Gxg0MEn6XrzRsP+ZdgYY4wxxiwsHgwbY4wxxpiFxYNhY4wxxhizsByoZliKukvqK6kJPnfuXIhHowYfROjQqDOlfpYaYmo427xlqe+l7pR+vVKqj+U5qSmmRphaWep323yFWWbqXJvOwX2on73//vvnlvGFF14I8dmzZ0NMX+FLly4lZTp+/HiI+Sy5nc+W2mjWS5s2ez88gXlO1uOdTKZa2Uw7qEpoEKFlLeEjWzctFL8EDSH0fpSVDmHyOUq8Z+N2Vm8JTXAFI9Qq7VJUwYNX1ADDPzNHPeTQueVsR7D8rGHgCWmnmqTXGfw1a+j1aCLbVTxp0Yk+pOOcevlYyPGYfUjajvm88yXkF7yLM9xn0hfDyrgaUt+L+R3Qk2e70A8mktTE17T1FHcMWV0rm1x/LjU8fCdoSBMkS7ehvkbiPvN9X9nW+9CZ9ruxXWVZfH92V+f7jGcN7W5JsaGcxDO7R/H9eqKMfvRHijhfZamzHuIcfur3Kb7jz+m1EH+2l77LLqLf6kLgntXsB+P+RRF9hDn3YTjg+zrWCZ+1JE1Ql2OUqYKGeBP5dhV96Tb64jHbF57lAO2taUWICu0taaE1c94+w8YYY4wxxuwZD4aNMcYYY8zC4sGwMcYYY4xZWDwYNsYYY4wxC8uBTqDLsixMWuLErpdeeinEr7zySog54UlKJ5NxEgYnMHGyGie3sUyc6PXqq6+G+MyZMyHmYhOStL4eBfm/+Tf/5hBzwQlOyjt27FiI+/0opuckBk7S4j01TQxrW2CibSIYn8M73/nOEL/1rW8NMeuV55fS++SkPj5rLqjCe+AEvLbFTm5mshuPaYvveGaqHPMfNB7Gdjqh2XzDV+28M7+Oy5Z2iHkhKjEZrcKCGJPNeEA5QDzCCZUa4K/0MUE1441hEhFj1EsNN/p6GxOdMBGlbqjHmsVGs+LaBJzLyLbe78Z7VD9ORs077EMaytRvmgIzc46ipdATTlyM5yvH8xcJ2I8JrzWn6Ny8h/9tIZtZdKPCwgxcvKXGgjeDPO2behkXzYjxKFlRJrarARrvCGXIFAu5XMY+fAUJn03S2aTrWAHmweWTIb4rj/FadneIl5bujdfoxYnZNRaP6XNBqs04TukOPpaU8aXiQjwntlesZ7TlS1hIpDwa32WDZUwOx+zU1V7aifQweZmT1YaYYDdg/49+aoJnzb68QL6ytTX1Hg3LXMWI6VrdfML6l2FjjDHGGLOweDBsjDHGGGMWFg+GjTHGGGPMwnKgmuG6roPOkwstMKZmmBpPSXrTm94UYmoQqTvd2toKMfW5LMOVK1dCzIVBuNDDyZNRnyRJp06dCjEXqKCWlWUm29vbc/dvWzyCZW46Jxc4WV1dDXGTfnveNbmox8pKNP1v0gwTPrs2HTPr9fLlyyFu0wxTk8xYSnXMbYuVNC14ciczq0GkJjipH+hv67SZqYsupxYXvUEs1ifM5rex/SqexwaecRmfR6dBZ9rpUH/Xok3F4kFCvVSIcyxooavIJWhl66U0N+oKuuMJDOyzFrP6FvKadRC3d7ppLnQ6sS8tsGpGASEz5Z/byL9taF5rLDTCxU8EvWCjfpD5B40rNcOHadEN1QptrxqiP8vmL7pRdNL36wDPhOvRsP7GJfZHPIySYBXQka/143tnGdrXXif26ZK0XkRNbxcLyPTy+H7sdeM7ul6JC0gNMEenOhavma9C+7oRNcinnovHS9LJK0/Ha5RxnFFi8ZEcv1NeURyH5L34LrvYmb9YTL+hHfew0xi5EUcE0gj5xxWSsgn14FhIJFnABdsb3o3s+XjOVONvzbAxxhhjjDF7xoNhY4wxxhizsHgwbIwxxhhjFpYD1wzPanSpv0289aDf7VCbp1TLSq9ZxtQAU4dKnem990YPwkcffTTE1NpubGwkZaQu+Utf+lKIqTOmFpZ6W3r6UuvKeDd6XOqIWW/UurKe2q7J7XzWTc+Wx1Dj26YBpl6X98R73g8P4DZN8H54oR4UtaRZK8kS+l5Bp1ZCj5s19C75ErSt0CnmuAa1seUEetoq6gU7UJl1UMYa5qtVk18udGhjasu7yCdo6QpqMakhrqIuMsc9ZqN4T3WV6iSz5L5oLAyvY2qI2Q6pByyhi6R/c5X2KRl0jyoSE9AQjlH5fLblmJrg+ZrhjH7ODRp/1gvzlX7Mh4s66KRLirJz5ivaeYMX7aiOSVzGpquyjM9sDO16SRky2lmni/dIH31ITV1pUsR0nsaI/VDs58v+kVjmtbgOQHVXvOelo7Eejy3Hetpaj9ffHMY5QpLUx++Onc2X4zWrOBbilJwO+oD7M8wbgl4/kXY3/O7JT0oc1fY+7EGDXueYI4D9+3h4nFLCeQ6SVDI/qRFmn3AL+etfho0xxhhjzMLiwbAxxhhjjFlYPBg2xhhjjDELy4FqhieTic6dO/d6TJ9SakTpn7u+HrU9Uqorps6FGmHqTI8fj+uQUwvbpp0lS0tLyWfPPPNMiD/72c+GmL7D1CW/+c1vDvH990dfRN7DfffdN7eMw+Ew+Yx1zzI999xzIT4GL0Zqt/ns6Cvc9CwJnx3rnmXm9s3NzRCzrdBLmfdMmp49NcBtHs+HzWc4eJGit4AFqPIeNGHLqWaztxS1bX1ohrM6xpOKzzy2K9icqkp8iel9Gcka/LJH6JeuTmIfkE/ofRrVb/0JfL3RzupJ1PvlObyPR3GOQJadSMqYrcRrFriP8Qi+pago+pgm9TCGxpFdRoO+b7AEbfNSLGONZ02dM6pFJTyi6xG01dSjUiObCFYl5chP+pbSy/gQ5Wtd852Ke6W+kr+FVakx+ABexZMRvIsTDXF8BkUH7Q59CL2gr46hdS9iG1lrmnIxjo2zBy/jTXhij9djflWrsQwry/Gm1nux0Ee78fgii9e/sppqbcvVqFPuouImGzEuyzj3iPM1llGRR/L578ZJoiKWtpryYwZqfpfgE76MeIg5AyMIeHsc3+lm3o3zPd9vJVv9y7AxxhhjjFlYPBg2xhhjjDELiwfDxhhjjDFmYTlwzfD58+dfj+mX2+Y92+SXO6tBlvbuf3vx4sUQU39LDTDLRP1tUxmpjz1z5kyIP/KRj4T4scceC/G3f/u3h5jeyNTv0m+X16d2Vko1v7wGy0yP6IceeijE1P+0+T/ffXdc311K/Zln246U6pDpG3z69OkQv/TSSyGmvzOfJWO2JSlts20+wofKZ7iuVc544ObQ/wmasY7i81paSnVqy3ncZxm6sgzatzFVYJP4TMqVmG+TLOZ/2Y/5Wo/aPbepnx0PYy6MRlGL3htGHbMUNYX1CGXG8WUe9YJLEOh28waf4TzmdAnfYfYBbLsd6JwzagrH0FpvxufW9OLIt/EsKEFdhkc0dMzjrdgnjAfxmt0acwRKtg1oIJt8UhtyeC6HRzKsWtJktt/lrbI64CVdjtKnOqHX8wAn5bQA2lXTezynThT7Q7M9gqa4anh8PehnO2h427C/3kI+LkG/W0AnvdGJN9lFu91GO6OOWkr18dRWJx75dTxJhXkFvTre4xqebR/9YN1JG/J5oR8q0e9wPgye3XgUy9xh/kGf30MydaBhT7zPlWr6296et/J+9S/DxhhjjDFmYdnNYHhJ0sckfUrS5yT9pZ3PH5H0q5KekfQhSenPF8aYg8b5aszhwjlrzG1mN4PhoaTfKumdkt4l6dsk/UZJf0PS35L0mKSLkr7/DSqjMWb3OF+NOVw4Z425zexGM1xLumZ61935V2uavN+98/kHJP2wpJ+Ye6K6TrQxs1BvS00oNcZSqitdXo56ve3taF75xS9+ce7+9Oil3pb7v/jii0mZCHXMjz/+eIjvuuuuELPM1L6yXuiXS00wdTT075XS+6SX8alTcb31F154IcTUVr/lLW8JMTWLLGOTHpc6Zuq7qSHm9meffTbER45Er0fWY5P/8ixNPoj8jG2YPrcH4DO8b/kqKYq0oOct4N/ZzWN8pJdqNlehEV4p4EOK+ro6iLnQQ1s+gS5hvB5zYVTH57E5jNcvy1RjVkOb2pnEPobeq4Mr0NJdiX1cAX3geBLLOCijJnkI39LlhmbZGUMTfDTmb7Ecu/ZxBeEk9H/sowj9m8tx2o/nuM8MdV1BkzpBe5qgH6N3cgatZo17aniSyScko29pcsiBiIb3J2czqZ7R9WddaqpjmJeo32HDnAgek8iyY74OIJjN+5gH1IO+Hg+tX8RnulrHNrVWpZr/o1l8Jx/r3xvibj++0weY9zO+inZUxjKOrsR6vLgc87Ua4B5filpcSRpfiXOb6iq+g7MsnnM8xvoG8FtegtfxEuYp9Kr4Ps5Sy3d1Mnpux3fyBBriLfZjI/Yp6DfRx1CzzsFn1ZBqSYtMjOLpEzQdB7IAACAASURBVJ6eY7fsVjNcSPp1Sa9K+kVJX5Z0SdfT67SkB26+GMaYfcT5aszhwjlrzG1kt4PhUtM/3zwo6T2S3rqHa/yApF+T9GtNq7MZY/adfcnX48fmr8hnjNk3bjZnna/G7AN7dZO4JOmXJL1P0jFd/6X7QUkv3eCYn5T0hKQnaKdljHlDuaV8vXjp8g12Mca8Qew1Z52vxuwDu9EM3y1prGmSLkt6v6bC/l+S9J2SPijpSUk/13aiuq6DxpdaV+qPqM9t+mWZvr/03G2D2lX6/7WVif669OeVpI2NuM44/W2pI93cjJojevo+99xzIX7wwQdDTL9dammff/75pIzUSvO+WK9nz54N8Ze//OW5ZaAGmVpv1pGU1gs1vhcuXAjxZz/72RBTv0sNMq/JMhO2hSba/F0PQDO8b/kqRX9MamnpCUyNWLfhq3Yfmt8VeFH2FeNlTKDvwpvyiGKboA6u7sb9t7rwrq5SQe4mvFG3R7FPOAfZ4gj+uiXKMIa+tqY4Ds1q1ttZkrbGqQaxn0dd4+oReLZ34PkLLeakiD9MdPvQTRaxn6vwMDPIBacnjR+ieahE2x+VOAmeFXOnGsd6ob5cNeOGXEPd13eGkfD+5GwmVTN+00WH/RXqdwS9/rDB53UY67wzgV8unkGOZ0Q9bY0yTPLY545XY670ujH/j5RpH32kinNBlrrxXVV3Yx9B/+lsK7bDaiveQ4ExBv1wC7yfJ699KSnjqI7vqv4qOkckSwkD5wq+390s1kMf91hAQ6w6FQ136jhW6bLfQj5dGULHTN9g9P8F6rkHzX8Pv8VyXoKU/lqbpHSdttmbZTeD4fs1Fe8Xmpbtw5L+haSnNE3SH5X0SUk/tW+lMsbcLM5XYw4XzlljbjO7GQx/WtLXN3z+rKbaJmPMnYPz1ZjDhXPWmNuMV6AzxhhjjDELy25+Gd5XZjWV1I1S40l9LrdLqT9mvx+1dNS6vuc98Yv2z/zMz4T4J34i2jh+wzd8Q4jf9773hZjaWpZZko4fPx7ic+fOJfvMQt0pdc3USdOXmBpjXv+7vuu7kmvynNRn06uY9335cpy8QR9i1guffRO8JmP6AjNu8qWeZZ7ndRNNXshtOuJE97gL3fEdQy2pvC7Sqiax/it49FY5NWepBqxEChfQka1DC3d8KerrJ/D07VyOOvCVlZjvKzm0tNDKbinNxQt51Pd9pYp+1oMa+dmP98D75hPPcY89NKsCfdryStRESlLejxpBevCyZ1+G0UABX9Ml6EvHfeiWodfPRmlfnA2RT6iHGnpv6ufzhv49MKG4OpaxLudfX5KyHL7fyMcKT+sw/VpUS6pnn3sHOlF4bmcFNMRbad+Ub2PS+yjGWRXrfBkazisX4rvpymvxXda7N76bsn5suCdOYI5AAf2vpOOdOB+lKqPndgn9fA9zAibbce4SVagdaGez7fiuq0dxXuOlpTinR5IuMt+yeJ9r8Epe6cT7zEexz8gmcZxTdGI/mCtur+p0LtMEuuRNTAS4DH39xQnnjMR4Cfm9DGNresz30B7r1ORbBcqYIT+rZJ7AzWuID1OuG2OMMcYYs694MGyMMcYYYxYWD4aNMcYYY8zCcqCa4bqug2aSel9qQtfXo/anyaOVWldqU7n97rvvDvF3fMd3hPjHfuzHQvzpT386xB/72MdC/Bt+w28I8bvf/e6kjA8//HCIH3/88RDTV/iBB+Kqm+fPR80i6+nIkagpZD3xfPQUllJdMrWtPCc9eakhfuqpp0LM53L06NG525uuSV/hZ599NsTUOdPzmT7F3J+LwuxG77tXDfAB+AzvI7U0o6/LoBmrJjG3JvDKHDZUzQh6W8jM1MuhXYdGsHckagyvXInHX92OWrkRtHPL/aghXi5SXfkD2YkQr3Rj21zuvBbirBM1h2d78R7KI3eFGLJldeghCu1sZzn1Vy+hr6v78Zh8KZ6z34d+D/LcGp7vE8VCVkWsx7pIf0epoRmvoOEdwz9ZHeZXvKcMvqM5PYKp+ef5G0jyj7pmxq1nvIPIFH7eKjrUruNuutAQN2g2M2qqq9hOxiXaCfS4y0U856XLUUM8wPm30UcfR7Jky6l+vrOMeQF9zDPoxXFE1onjjmTmCMpUjGKZVUbN8NXslRCf7qae+a9OYtvsox88rqjXvTuP8RFogjWCpy80xXkR58+MM3SUks7l8T5eLuOzfXU7PrutCcZr0O9msYvQGvqIJfjU01O+ahrf8YOamn9sv4U5Of5l2BhjjDHGLCweDBtjjDHGmIXFg2FjjDHGGLOweDBsjDHGGGMWlgOdQFeWZVicgROaOKGONC26UZbzJ01wAh33f8tb3hLiJ598MsQ///M/H2JOfuNCDx/60IeSMrz97W8P8b333hviJ554IsSPPPJIiF96KZp6c1ENLh7BhUY4ga9psQlOYNvYiJMAOFGMk8tWV7n4QXy2n/zkJ0PMxUw4yU9KJ/U991w0M2eZ7rnnnhC/9lqc6PTqq6+GmM+hbcJc0+Q3fsbJjeQwLbpR17WqmYlV2QATKLDoRr0cc22Qp/U1KGL+sSWOs1g/W4rtsNOJE0XWVuPkme1BPGMPE3gqLE5xZYhZH5KWetHE/4jipL13deJklEc7Z0N8uhvjMyfj/q+h3jZKTE7LYj3XVZqvGdefwD5FN953kWGBCkxemSDe2IqTaTgxKsNzkKQSE2bGXJQFq4sUvXjNEpOMSiziUWC70I9Vu5hAl3GflhlyXJTjTqesZ+4PzzzjpMnO/Ocjpc85n2ChBDyT7UmctFzgokfW43ths4jn72JyW1ljQakr8d0nSZuYjFYcjeforsfJ2t1l5Btyh/dUb8R66Q3jPXTreA+DhvfEZh37xstI6StoZ5tF7PfuLWI+Hs/iuGNzK06GyzDn9vISJgFK+jwmP565Gu9zewsLfXC4mMcyjDDZcQm7r6Gelur4nMbpVEaxlyna1tSobn7Kq38ZNsYYY4wxC4sHw8YYY4wxZmHxYNgYY4wxxiwsB6oZzrIs6H6phaVulQtkcJEEKdXPUqu6thY1hdTTjmA2/853vjPEXIjhXe96V4i52MQXvvCFpIxPP/10iH/lV34lxC+88EKI3/ve94b41KlTIeY9Uq974kRcNIB1wMUoJKnfx+IEeBZc+IPPjguHUH/L8/EexuNoMi5J586dCzH1ttSY876OH49aT2qluYjHyZPRrH17O+qsmjTDbRpgaogP06IbWR1N98vt+IyyUXzGeQZ9fi/tXragK93qRn3eVg7dWAGtG6p7pRvL1K1iH7GKRTa6aHeDPF3sZRu6sy20zW4Rtearva8J8duhQXzHKGqGyzLm0oZeDvHVPPZpW3XU5knSFdTTOSxwsTHBYgbjuH0wjvdY1pxbwWcLPX2DeK+kBhV6UGFKSIVFHnL8NlMPoSEex746p+A3ya02gWHDMYcnPRuZ7W/KSWy3dQ0NMRY9yfoNOnDkcHcS86tXxWuMS/QReAb9pZiP9Up8dy2fiI3k3mPxgRwbxvf39CQx3BrEdqLNqL/F+jQqltEwcc8d9Gv9Mi6iM96KfUpdp+1ugsV/Bsiv4SSWuczju2wCjfAki/VcoT+4gn72tTLti1+5HPu+IbTRkBRLmH/RXY3nLJDPvTLGy3ms5wLzFEYNmuGGpX0QcaGem8e/DBtjjDHGmIXFg2FjjDHGGLOweDBsjDHGGGMWlgPVDEvRK5iazyNHjsw9tkmfSW9Z+gq3+eFST8v9qd+l7pTX+57v+Z6kjJ/+9KdDTI0wtauf+MQnQvzUU0/NLTNj3uP6+nqI778/+qhK7RreK1ei7pF6Xvo3P/jgg3PPz3qjPldKdca8JjXCfHaMqSGmXpz3TH3vbjyCqRFu8x2+45mpghy3n+e4N0j1ymH6XbvsR83hBnxELwq+pXmMh4iXynj8ej+2mS5kaL0ybj96LOp/JanowjcUveR4KbaLS50oruv0Yr3kWdQ51uPobZ5fjfuf2IqFvn/c4L+5FXXHW+M4L+HFOnpyf14XQ/xKBU9gxeeSZdCPoh1XnQZx7VqsqKqirpEev8gVlCnvQNwJ3XJdMx/RHtk+F4GZx5KhvujTX8I7ul5K+7f8KObpFNAQb8d4DfpalkGrMReqkzh+NerlT9Cn+Gg6RlgdY35KN55zhKY6uBSvMRzBa3w1tv0R2tEki/tnw9in5GznkkZj9GPb8GvGUCyDT3gX/uxZL+bWVeh1XxvE9+1oM8aSVG1gPssW5u3gnV4vY3+crw8N+irevx3MS6Cv8FhpvbW9cfczw/3LsDHGGGOMWVg8GDbGGGOMMQuLB8PGGGOMMWZhOVDNcFVV2ti47vlH3Sh1p9SMNmk2uQ/P0aYDpaaTPsTUCLMM9Dl+9tlnkzJSq/roo4+GmP62n/nMZ+aWgddgmej5y+N//Md/PCnj5z//+RC/9a1vDfH73ve+EPMeqEfrQnfJe+T2Jp9h3gfrms+O9UCPaEJNcduz3g1tvsJsn3cytepQB3VJT1beC3KrB82npPEofna1E9tBDZHvUh7PuZHF7cvQ0tGrslfHeQlLo6idzQap53a+HNvq8gnojE/GZ7zUiRrCVfRrFT1+4Ql84Whs+8PtWCfnz6Q+wzoHD89LaHc9aAy7NFeNZa7G9Ayd7xFcd9LcqKH5q+E5SwlvNUH+4nw5NK0Z8rGucL3Ec3TBNMN1rWqmzibI1wL5mlgsFw2/jS3Bexaa4Lob56MU3dhQavSx1dHY7nrHYh99cimW8Th8w4sxGqKkTjfqYbuYM7O6GnXGgwn8q+lXz1ER547g3dXN4/WGFy4lZXxtE/rYKtbb8lLsY9aWYiEmeDavlrFtb5axngYXY5myqw0a/wHGRngHZ108O/qCw9u4i/zv1/StjscPMclki5NOJI0TZfL8nG6weN41/mXYGGOMMcYsLB4MG2OMMcaYhcWDYWOMMcYYs7AcqGa4LMug+1xaijoX6kip2WzSW16+fDnE9NillrVNZ9rvR00TNcn0tuU9vPzyy0kZZ3XSkvTud7977jUee+yxudfg8dS6Uiv7C7/wCyGm77EkfeM3fmOI6ZfMMtEXmPpelpnPjmXmc5Kk8+ejl2qb3vtWPX15PDXFvP6NPpsHz3lHU0vV7P1BM1bTJ5bHN8ijx9txry2IUSf92CX1utChFbHdrEBTLHh8rlZRZ75ex7izHWNJGvejBrE4EstYVrGtLvXj9tVubPs5/Dn70NJW/Ri/uhVza3wh1TWfGEbf78H6qyF+pRf7tctj+IiPYl+b5fGeCsr9utATNuTaZBK1zcWEGl/k+AS5gEeZUaMOrbUq+hZDdVw19AdsL4km8fBS1wqa4aqar6FOayetiwr5lq+iT1yGd/FafJfVeOSdVeTnSmwzd6NdndTREC/VqUf+OI8a/6wHvSy8jnucy4BxR6+Hxo96zGHZO8gxZ2CQ1uyDa6i3NfQRndiH9KHHHSMXNsfxmoMNeB/HIYfyQdoZj4epRneWqoP3YT/m1xK8jteRW50ac3LwQtiARviyUj/1AdpkVc9/f97KGOAQvZmNMcYYY4zZXzwYNsYYY4wxC4sHw8YYY4wxZmE5cJ/hWW1pm+cq9ZXr6+ut+1C7ymtQU9zmA0vtKzXKV65E7d7Ro1HjJEn33HNPiF944YUQf+xjHwvxiRMnQvz444+H+MyZMyGmzpm6Zmpvf/RHfzQpI32F77333hBT40tfYPozEz4XarUvXLiQHENdcpuGt03zS1iGm9Ekt2mG91vXfJDUgmaY95rF+suhQswbTB8zpPx4G16W0HkmXqhdfABN4xLkgFt1bKeDEpr/xCtZKjrxJONJPMdoM55jFfuvwot1DL/ccY1cGkbd5KSK2++BR7ckHaliPr0EuR0sfAXLUC330e+hHtLc0NztklRCw5vDG7XkIYjZNsRrJGXE9aB7ToyNJSnJv8OTj7sh+IJzzg01/pgDUDTVBbtQ5Fvy0KDHzaEjLaAzXYZfNYqkcQUv3DzVuXahNZ1sRcHsZJP3GeMefIbZ7DK0u3IQxwDbg/g+Pn53mq+DfjzHdh51yQPokkv0gyP4pY8HcVyiLTyoMcrcMNaq6InfxzlwiaI/3+O9j8ZSoZ4His/yMtrO1aY5OYjZhhOsGTbGGGOMMWbv7GUwXEj6pKR/sRM/IulXJT0j6UNK1igyxtxGnK/GHB6cr8bcRvYyGP6Tkp6eif+GpL8l6TFJFyV9/z6WyxhzazhfjTk8OF+NuY3sVjP8oKTfIemvSPpvNBVa/VZJ372z/QOSfljST8w7SVVVQQfa5uFL3+EmXSr3YUzadMrUwtL/lrplnu/06dPJOXmf1OM+9NBDc8tEzW+nA00iyszrvfe97w1xk6dvm+aXtOlxWSZqjqk5vHQpXc+d16Dedq96Xd43nx1jnr/pek3ayXm0tb99Yl/yVZLqGdVWhmZDTViNOG96PhCzZvg+XsObtqrna4grav7hNVuhmWY436TBi3ZEpRp+k+svoY/BNUbQGHfzmK8ZrtmFtnYVXq3aSOux0z8S4mOT4yF+qI5e42tFjDeKqL3cRj1uQho6QJm3hmmZ6GNL/XdVoqIQZ9A55tAE81nTP1bQDGd5w+sNjbimrpjd2sFo/PcpX+uYgyh6TX18PV/jKUk577+YrzumyjPL58/LGJTxfJfxyM4ovhfq4dMiJ8YXQ7yyFL2Ie0WcU1NVcS7KaIua/ZgrozpqkDcVvckvLiFO6kQq0TYhEdYE/dLWOHY6oyHWYNhmv8m5FDh/L23HFcYRWoK2ehme7suxz1gvsEYDcmsIX+GRqBGOx2+ys1bavio26rxl+x7Y7S/Df1vSn9X1KQ8nJV2SXleun5b0wE2XwhiznzhfjTk8OF+Nuc3sZjD8OyW9KukTN3mNH5D0a5J+rckNwhizr+xbvp44sbe/Fhhj9sz+5ese/7pnjLnObmQSv0nS75L02zU12zgi6X+QdGzn+Immf+Z56QbH/+TOP129evX/P2tfGnNnsm/5euHCJeerMW8s+5evl5yvxtwsuxkM/7c7/yTpWyT9GUnfI+lnJX2npA9KelLSz7WdqKoqXb16XV9DDeeRI1EHR59ZevpK0spKXCic56SHIDXFbf65LMNoFHUz1KU2aW9Z7ueeey7EvG/eEzXA9D5uu0dqjNfW1pIy8hhqYal1ZT1TC8Z65fHUCA8GUafVdI02TS/hdt7TXjXFTdfbq5fxXjXGN8G+5atUx/LCKLag7zP0vuUo1Ud30OVQwyvoZ2tqgLH/CLrTKzCvPZvFdrWssyF+eBg9vyWpez7m1yC/K8Rb8BFO2hm0dysd1AO1nIk/9vw6mX6Gfi6LfcRyFfN5CC/WMTw/t+v5vsKTEvnd0IyrmqJyaoShN00sa6FBpzExqiXjnAJqhJs0wy35ehvYt3ytJVUz3t8ZnnneYW7hAdRp3eR4dxQd6rZZCHqRYzMeaQnx7ISe3NCFD4vYbiVpq4y+v9U2dctx/6GiBngjj/HVPPYZV+iHCx3rJuptWKXzliYl3i3ox8bjeI7xCBrjMd+38fx1D3MnCmppU7I++vMufISXopb6SCfWfRylpI7dY/jQs48Zot6om5ZS6ULLK/+WuJWe4Qc1Ffs/o6nG6af2pUTGmDcC56sxhwfnqzEHyF5XoPvozj9JelbSe/azMMaYfeWjcr4ac1j4qJyvxtwW7ri/GRljjDHGGHNQ7PWX4Vsiy7Kgbz17Nur3qI1t06FK0ubm5txrtvkOU29LTTDj4TDqaKgBbdKVUhNMqEtuus9ZWGZqgldXV0Pc70efRWplpVQfy/ts8+TlPVADvLERdVkXL0ZvyKZ6o357r3pb6nn3qjG+GVjGW72H20otZTOavskg5kLeie2QzSpr0CAK3rE1eqCsi2cGTXBVxAMm0KUORnH7JWhjX+1FL/Oz9ceTIr71SpyrdNfo3SEebb8pxFt3RfXc6Bi8VNdiGXodauVQTxX8chsUf2ypJep1gPs+r/jsXoM+d2Mc6217HB/mcIR+rsGfOfUVhkc0zpmNE9NonJH6U2iEqaUuqBlO/dQTYSPOyZo+VL8WZVI287orstgnL3ehdU88W9N2lsE7tqDuGIa2E2hbEx0y9fF4xiuIj1Wxj1mv0/ku9BEe1zHHr1Zxzs5rGWL4L18ukQtVPP8EZSoncf9qlA6ravirV/QFZrvsIN+gW9ZS3J7DwzcT5zalz7agT3ARxx1HOzFeRxn7yI6c8wyQTWM8W+qmG3XNba/k5J198+/wQ5XrxhhjjDHG7CceDBtjjDHGmIXFg2FjjDHGGLOwHKhmOM/z4KH72muvhe2nT58O8V13RX9P6kyl1JOX+lx6xzKmnpZQM8zjqUm+cOFCco6trahhok8wy8BzUkvN/du8bqlBbtIMt+mzuZ0aYWq3+aya6qWtTG16bMY8R5s+t+18bXXQ9FmbP3PTfd6xZFI+U96anqBJbsTupKTOTVIOnWdaHYkJLzbPP56y07KMuXQVutXni9iOJakqomb4a7bjMz356tUQ9zYfite8Evut7eMxfwfLvAfoKOGT2rsU9fbTk5wL4WYdfbsvZ1HzfxEa4SvwMd0cwCt1RCPTBv1tAv1dcQ7qIJfiNUv4N+ddOJlOYr9JeWDdgUa5KdXYJAscgzI3nuMOJcuiRzW15vVk/rusavIZhud1zj6W0teWfM6g456gXdFtfiOP2vfu5LLIVhnfPcMsHnMxj7lwBvVycQxfccTVAHMj4BmcQQ+cxWqeUjI34ubEopvDki7aZY75G4h7RWzoeZP4Fh9xH3YBsdeTLrN9IVlwyxpgLsQmtNUVfckldaFbLjEvocZNsA/YC/5l2BhjjDHGLCweDBtjjDHGmIXFg2FjjDHGGLOweDBsjDHGGGMWlgNfdGN2ctjaWjTQvnQpTgLhYhJNC2icOHEixJz0xJgTmjiJgBPyuPgEJ7twcQmWuWkfxryvpnPMwglzPJ6Turh/04Q7LorBemI9csIcJ0M2TXbcK5yMxrpvm7zWNlmNx/Oe2ybYNV1zr5P+7mwyaSY/sl7MlXKCCYpFPT+WlHORjR5iGMHTdT1D3O/DfL6Ok2fqmmb0cf9Ow+O4gmOeyV4O8eVJnEpy/MozIT6yeXeIV1+7P5axfyxesIgTdvIqToYph3FxIkm6MH4+xGey8yF+rY75ehXr+Gxhks+Ii2qULRPmGibkcMJcgckvOSe3xLWBWv3za0ywSfs55FrDwiDlGOcYYR9MsGtYq+AOJlP4fQsLZgzRv6WLJKT11eEEdCxIkScLmyBf2QdgpthoEmeKncXul4qYz+sZp3FJ3aSPjds3KyzEgwlyw+04wVXD2CkVQ0wixIIZWck+q2EyOPKl6uJd1uMEufisKvRrKpFbzMdkPZu0TBPkx/YojiMuc1GMCRaowYJIXFhEnOyGWxDjhp9mh8vo33voz7FQTN3zBDpjjDHGGGP2jAfDxhhjjDFmYfFg2BhjjDHGLCwHvujG7AISR48eDdupWz17NtXKEWqGuegGF7jgAhaE+tvjx4+HuNeLeiJqinl9KV10gzE1vDwHy8y4bSEQamepjZXaF5ygzvnll6GjvBzN0FmmNn1uU5mov2U98Rq3qhHe6yIdu2E393mnkmVxkYy8A5N+fJUeQ3BZF+nzyLt4ph3oGLtckGJ+nRcQPnaShVfYDpELSrWxl+tYxk1oiF9R1Msf6cTcOJJF/fyxybMhXi9j/q4oxpT3XVW66MaFLPYhr0GQdwUa4W046JfJQjzxVUAtXqLfbRDT5jimA+P/DtpLB/tT98hfaqo95t+owcR/AF3kKI9xuQkd5CHKVykukkE9b9UyD6TM0lxIFu7gtADkOBfpEHWl0KLXyM8hnscImuHtLhq2pFzz+/HxBIsBDWO+ZQPooKkRHqOdsulTKttN+71kQRhqhDFXohRE/cjvRKoNuOBFWaZlGo9ZLzGuh3i/xqGOsiHqhXNI+D5lLmHFlrqT3lQ1ieOtMk4zU7GMdw6F8HvAvwwbY4wxxpiFxYNhY4wxxhizsHgwbIwxxhhjFpYD1QxLUfdJPS81xNSpnj8fvTSl1N+Wml7qSrl9dTWaXbb5xlKvu76+Pvd6kjQeR70P/ZR5zrZrUhPcpqWlTpXlkVL9GHXNzz//fIiffvrpELdpt9s0xE163b36CDf5J887/o3w/GWZmtrDYSXr0K8azwda2zJP9X0VNIYVhaQF4kTHGLeP4H05goCvTrxTsb1BV8pmUaLdsIgX4OnbQ6/ay8dz424e9fapR2hSRI3xIT1Dt4axTKNR1CAWGTzboWnM6emLQuUNmuEC3qhdiCt71HfTlxjny3FNPpe27OXxklSivY057wA+uFnLPII7jpnb68Ljl33TaAK9ZfX/tXc/oXGUYRzHv5vdtTWIaJsiIRVTURAP/gGRih6KIGgV68GD4qGHHj1UEKQiSD168c/Bm0p7EBX/gKW3WgverNFWqUpsK4iVGg1pqab5s38eDzOhO8+E3W12uvNO5/eBIfvOJpln35nn3TfJM2/S7wuQLBRNrVfr1pZtW/Lir7o1ftNr0bpz5MfwevLrm830OTW/hm/DfY5bW9rXvrqy5NS6waklfN0YZu6aaq9fpWa47uplXT19q50MqtFaSLTr17ix1x3CLPl8042LzUZ6nGvOu4FqwY0Bi+5+jkXXUW7OQDM5xpjPHff+4MeUSi05H4T02va2zr2O9e7crrKecr/0m2ERERERKS1NhkVERESktDQZFhEREZHSGnrNcGfdkq9h8rWxvoZ4bm4u9f1mZ2cT7dHR0a5tfwxfM+zrcX2tna8R7lWnCuk65YmJiUS7V41vr9pY316tJrjX875GeHp6OtGemppKtOfnk2utzszMJNpjY2OJ9vj4eKLt68X7qd/t9Tm+n3q1e31///lZrDPcz/USjHYbFi5dF6nqZ1886/haGdpdzQAABSlJREFUW4DmRVePN+qGoHXJdrvm1sJ0bV88589RteJibPt1UNPn1NcIVlydcctdFw1X+7rk11f29X2pbksd0D2b7seWW/t4uZEcpxYWkzWHvqbQ19ZVR5L9Wqv6t4buryn6Ji5OV7M64trVqn/d3fvBFw2vcuYSrXYzfX223dqpXHT9cMGNjYvJcS5klRaMzF3qlXMk79uwiltX2NXGNpfT11mN5Pth3bVr7rqq+/p6kv1Z9XXKro60UvPrXbvadV8sS/oyqbmcrrg1eq3h1thuu3peFxP+fcCNKZVask9sOT2t8rcmLLXc+slunuGPseRe90jd/W8Bl79+zGIpfW5HFlw/uP+ZgBtT2k1XP95Ofr25eyf8GNXr/bXmvj9A1d+r0EjO51oLyb6vznef+3RToHdmEREREZFsaTIsIiIiIqWlybCIiIiIlFblSqy12sU/wO/AGDDb43PzphizoRi7uwXYlNOxe1G+ZksxZkP5urqVfAWdx6woxmzkFWPf+TrsyfCKKeC+PA58GRRjNhRj8RWhfxRjNhTj1aEIfaQYs6EYM6AyCREREREpLU2GRURERKS0qnv37s3r2N/ldeDLoBizoRiLrwj9oxizoRivDkXoI8WYDcU4oLxqhkVEREREcqcyCREREREprWFPhh8FpoFTwJ4hH7ub94G/gRMd+zYAh4CT8ccbc4hrxc3AEeBn4Cdgd7w/pBjXA0eBH4hifC3evwX4huicfwxcs+pXD1cVOAYcjNshxhiKEHM29HwF5WzWlLP9Ub6ujfI1W4XL12FOhqvAO8BjwJ3As/HHEOwjGkQ67QEOA7fHH/McWJrAi0T9tRV4Pn4cUoxLwMPA3cA9RP25FXgdeBO4DTgH7MorwA67gV862iHGGIJQc3YfYecrKGezppztTfm6dsrXbBUuX4c5Gb6f6KeC34Bl4CNgxxCP383XwJzbtwPYHz/eDzw11IiSzgLfx4//JbrIJggrRgP+ix/X482IkvfTeH/eMQJsBh4H3o3bFcKLMRSh5mzo+QrK2SwpZ/ujfF075Wt2Cpmvw5wMTwB/dLTPxPtCdRNRggD8FbdDMAncS/Qnh9BirALHif4kdgg4DZwn+qkbwjjnbwEvAe24vZHwYgxFkXI2tFzoNIlydhDK2f4oX7MxifJ1EIXMV91A1x+Lt7xdB3wGvABccM+FEGOL6M83m4l+S3FHvuGkPEE0iAS9xIsMLIRcWKGcHYxy9uoXQh6sUL4OprD5Whvisf4kKlJfsTneF6oZYJzop8JxohOcpzpRkn4AfB7vCy3GFeeJbkZ4ALiB6Dprkv85fxB4EthOdDPC9cDbhBVjSIqUsyHmgnJ2cMrZ/ilfB6N8HVxh83WYvxn+lqgIfQvRnYTPAAeGePzLdQDYGT/eCXyRYywV4D2iOqY3OvaHFOMmogse4FrgEaJ4jwBPx/vzjvFlokScJLr+vgKeI6wYQ1KknA0pF0A5mxXlbP+Ur2unfM1GcfPVzIa5bTezX83stJm9MuRjd9s+NLOzZtYwszNmtsvMNprZYTM7aWZfmtmGHON7yCI/mtnxeNseWIx3mdmxOMYTZvZqvP9WMztqZqfM7BMzWxfA+cbMtpnZwcBjDGELMWdDz1dMOXsltm2mnO21KV/Xtilfs9+2WYHyVf+BTkRERERKSzfQiYiIiEhpaTIsIiIiIqWlybCIiIiIlJYmwyIiIiJSWpoMi4iIiEhpaTIsIiIiIqWlybCIiIiIlJYmwyIiIiJSWv8Dgk/FVfQ6BVQAAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 864x288 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"for data_idx in range(30, 45):\n",
" chosen_sample = xtrain[data_idx]\n",
" true_label = fer[\"categories\"][np.argmax(ytrain, 1)[data_idx]]\n",
" cam_localizer(chosen_sample, true_label)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.15rc1"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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