diff --git a/docs/notebooks/pet_motion_estimation.ipynb b/docs/notebooks/pet_motion_estimation.ipynb index 3671b3273..8638b09db 100644 --- a/docs/notebooks/pet_motion_estimation.ipynb +++ b/docs/notebooks/pet_motion_estimation.ipynb @@ -26,8 +26,8 @@ "id": "4111cc1b-5123-407a-8ec6-56d65bc94bc4", "metadata": { "ExecuteTime": { - "end_time": "2026-01-16T03:41:26.036936677Z", - "start_time": "2026-01-16T03:41:25.042850699Z" + "end_time": "2026-03-21T23:24:42.224202589Z", + "start_time": "2026-03-21T23:24:41.546856357Z" } }, "source": [ @@ -56,7 +56,7 @@ "pet_dataset = from_nii(pet_file, temporal_file=json_file)" ], "outputs": [], - "execution_count": 3 + "execution_count": 1 }, { "metadata": {}, @@ -67,8 +67,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-01-16T03:41:34.796351478Z", - "start_time": "2026-01-16T03:41:28.315992984Z" + "end_time": "2026-03-21T23:24:47.293574776Z", + "start_time": "2026-03-21T23:24:42.225776444Z" } }, "cell_type": "code", @@ -93,7 +93,7 @@ ], "id": "f3542f45e9b4178e", "outputs": [], - "execution_count": 4 + "execution_count": 2 }, { "metadata": {}, @@ -104,8 +104,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-01-16T03:41:38.150601364Z", - "start_time": "2026-01-16T03:41:37.006195065Z" + "end_time": "2026-03-21T23:24:48.404365799Z", + "start_time": "2026-03-21T23:24:47.346277938Z" } }, "cell_type": "code", @@ -122,349 +122,12 @@ "PET(dataobj=<128x128x90x21 (float64)>, affine=<4x4 (float64)>, brainmask=None, motion_affines=None, datahdr=None, midframe=<21 (float64)>, total_duration=7200.066)" ] }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "execution_count": 5 - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "09e5053e-4565-4892-a0a9-a8410fbe6748", - "metadata": {}, - "outputs": [], - "source": [ - "data_train, data_test = pet_dataset.lofo_split(15)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "a51fcb74-0e57-4ee2-8c24-1f89ff6f879c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[[[-0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., 0., -0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " ...,\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.]],\n", - "\n", - " [[-0., 0., 0., ..., 0., -0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., -0., -0., 0.],\n", - " ...,\n", - " [ 0., 0., -0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., -0., 0., 0.],\n", - " [-0., 0., -0., ..., 0., 0., 0.]],\n", - "\n", - " [[ 0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., -0., -0., ..., 0., -0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.],\n", - " ...,\n", - " [ 0., -0., 0., ..., -0., 0., 0.],\n", - " [-0., 0., -0., ..., 0., 0., 0.],\n", - " [-0., -0., 0., ..., -0., 0., 0.]],\n", - "\n", - " ...,\n", - "\n", - " [[-0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., -0., 0.],\n", - " [-0., 0., 0., ..., -0., 0., 0.],\n", - " ...,\n", - " [-0., -0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., -0., ..., -0., 0., 0.],\n", - " [ 0., -0., 0., ..., 0., 0., 0.]],\n", - "\n", - " [[-0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., -0., 0., 0.],\n", - " [-0., 0., -0., ..., 0., 0., 0.],\n", - " ...,\n", - " [-0., 0., -0., ..., -0., 0., 0.],\n", - " [-0., -0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., -0., ..., -0., 0., 0.]],\n", - "\n", - " [[-0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., -0., 0., 0.],\n", - " ...,\n", - " [-0., -0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., -0., ..., -0., 0., 0.],\n", - " [ 0., -0., 0., ..., 0., 0., 0.]]],\n", - "\n", - "\n", - " [[[-0., 0., 0., ..., 0., -0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., 0., -0., 0.],\n", - " ...,\n", - " [ 0., 0., 0., ..., 0., -0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.]],\n", - "\n", - " [[ 0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., -0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " ...,\n", - " [ 0., 0., 0., ..., -0., 0., 0.],\n", - " [-0., 0., -0., ..., 0., -0., 0.],\n", - " [-0., 0., 0., ..., -0., 0., 0.]],\n", - "\n", - " [[ 0., 0., 0., ..., 0., -0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., -0., -0., ..., -0., -0., 0.],\n", - " ...,\n", - " [-0., 0., -0., ..., 0., -0., 0.],\n", - " [-0., -0., 0., ..., -0., 0., 0.],\n", - " [-0., 0., -0., ..., 0., 0., 0.]],\n", - "\n", - " ...,\n", - "\n", - " [[-0., 0., 0., ..., 0., -0., 0.],\n", - " [-0., 0., 0., ..., -0., 0., -0.],\n", - " [-0., 0., -0., ..., 0., -0., 0.],\n", - " ...,\n", - " [-0., 0., -0., ..., -0., 0., 0.],\n", - " [-0., -0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., -0., ..., -0., 0., 0.]],\n", - "\n", - " [[-0., 0., 0., ..., 0., 0., -0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., -0., 0., ..., -0., 0., -0.],\n", - " ...,\n", - " [-0., -0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., -0., ..., -0., 0., 0.],\n", - " [-0., -0., 0., ..., 0., 0., 0.]],\n", - "\n", - " [[ 0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., -0., 0., -0.],\n", - " [ 0., 0., -0., ..., 0., 0., 0.],\n", - " ...,\n", - " [-0., 0., -0., ..., -0., 0., 0.],\n", - " [-0., -0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., -0., ..., -0., 0., 0.]]],\n", - "\n", - "\n", - " [[[-0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., -0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.],\n", - " ...,\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., -0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.]],\n", - "\n", - " [[-0., 0., 0., ..., 0., -0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., -0., -0., 0.],\n", - " ...,\n", - " [ 0., 0., -0., ..., 0., -0., 0.],\n", - " [-0., 0., 0., ..., -0., 0., 0.],\n", - " [-0., 0., -0., ..., 0., 0., 0.]],\n", - "\n", - " [[ 0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., -0., -0., ..., 0., -0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., -0.],\n", - " ...,\n", - " [-0., -0., 0., ..., -0., 0., 0.],\n", - " [ 0., 0., -0., ..., 0., -0., 0.],\n", - " [ 0., -0., 0., ..., -0., 0., 0.]],\n", - "\n", - " ...,\n", - "\n", - " [[ 0., 0., 0., ..., 0., 0., -0.],\n", - " [-0., 0., 0., ..., 0., -0., 0.],\n", - " [-0., -0., 0., ..., -0., 0., -0.],\n", - " ...,\n", - " [-0., -0., 0., ..., 0., 0., -0.],\n", - " [-0., 0., -0., ..., -0., 0., 0.],\n", - " [-0., -0., 0., ..., 0., 0., 0.]],\n", - "\n", - " [[ 0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., -0., 0., -0.],\n", - " [-0., 0., -0., ..., 0., 0., 0.],\n", - " ...,\n", - " [-0., 0., -0., ..., -0., 0., 0.],\n", - " [-0., -0., 0., ..., 0., 0., -0.],\n", - " [-0., 0., -0., ..., -0., 0., 0.]],\n", - "\n", - " [[ 0., 0., 0., ..., 0., 0., -0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., -0., 0., ..., -0., 0., -0.],\n", - " ...,\n", - " [-0., -0., 0., ..., 0., 0., -0.],\n", - " [-0., 0., -0., ..., -0., 0., 0.],\n", - " [ 0., -0., 0., ..., 0., 0., 0.]]],\n", - "\n", - "\n", - " ...,\n", - "\n", - "\n", - " [[[ 0., 0., 0., ..., 0., -0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., 0., -0., 0.],\n", - " ...,\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.]],\n", - "\n", - " [[-0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., 0., -0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " ...,\n", - " [-0., -0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., -0., 0., ..., 0., 0., 0.]],\n", - "\n", - " [[-0., 0., 0., ..., 0., -0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., -0.],\n", - " [ 0., 0., 0., ..., 0., -0., 0.],\n", - " ...,\n", - " [-0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., -0., 0., ..., -0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.]],\n", - "\n", - " ...,\n", - "\n", - " [[ 0., 0., 0., ..., 0., 0., -0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., -0., 0., -0.],\n", - " ...,\n", - " [ 0., 0., 0., ..., 0., 0., -0.],\n", - " [-0., -0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.]],\n", - "\n", - " [[ 0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., -0., 0., -0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " ...,\n", - " [ 0., -0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., -0., 0., ..., 0., 0., 0.]],\n", - "\n", - " [[ 0., 0., 0., ..., 0., 0., -0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., -0., 0., -0.],\n", - " ...,\n", - " [ 0., 0., 0., ..., 0., 0., -0.],\n", - " [-0., -0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.]]],\n", - "\n", - "\n", - " [[[ 0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.],\n", - " ...,\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.]],\n", - "\n", - " [[ 0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.],\n", - " ...,\n", - " [-0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.]],\n", - "\n", - " [[-0., 0., 0., ..., 0., 0., -0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., -0.],\n", - " ...,\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.]],\n", - "\n", - " ...,\n", - "\n", - " [[ 0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., -0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " ...,\n", - " [ 0., -0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., -0., 0., ..., 0., 0., 0.]],\n", - "\n", - " [[ 0., 0., 0., ..., 0., 0., -0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., -0.],\n", - " ...,\n", - " [-0., 0., 0., ..., 0., 0., -0.],\n", - " [-0., -0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.]],\n", - "\n", - " [[ 0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., -0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " ...,\n", - " [ 0., -0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., -0., 0., ..., 0., 0., 0.]]],\n", - "\n", - "\n", - " [[[-0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.],\n", - " ...,\n", - " [-0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.]],\n", - "\n", - " [[-0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.],\n", - " ...,\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.]],\n", - "\n", - " [[-0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., -0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " ...,\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.]],\n", - "\n", - " ...,\n", - "\n", - " [[ 0., 0., 0., ..., 0., 0., -0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., -0.],\n", - " ...,\n", - " [-0., 0., 0., ..., 0., 0., -0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.]],\n", - "\n", - " [[-0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., -0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " ...,\n", - " [-0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.]],\n", - "\n", - " [[-0., 0., 0., ..., 0., 0., -0.],\n", - " [ 0., 0., 0., ..., 0., 0., 0.],\n", - " [ 0., 0., 0., ..., 0., 0., -0.],\n", - " ...,\n", - " [ 0., 0., 0., ..., 0., 0., -0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.],\n", - " [-0., 0., 0., ..., 0., 0., 0.]]]], dtype=float32)" - ] - }, - "execution_count": 5, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], - "source": [ - "data_train[0]" - ] + "execution_count": 3 }, { "metadata": {}, @@ -472,64 +135,69 @@ "source": [ "## Model fitting and motion correction\n", "\n", - "The relevant structure to model PET data is `nifreeze.model.BSplinePETModel`. We\n", - "instantiate it by providing it with the loaded PET dataset." + "The `nifreeze.model.BSplinePETModel` is a predictive model that employs\n", + "a B-Spline-based interpolation method to model temporal signal evolution\n", + "across PET frames. We will demonstrate how to estimate a held-out volume\n", + "employing this model." ], "id": "48b9abd0d603385e" }, { "cell_type": "code", - "execution_count": 5, "id": "81c8d5d5-a2c6-44fa-b9d4-4f21f809c6e1", - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-03-21T23:24:48.556119344Z", + "start_time": "2026-03-21T23:24:48.453135234Z" + } + }, + "source": [ + "from nifreeze.model import BSplinePETModel\n", + "\n", + "n_ctrl = 3\n", + "order = 3\n", + "\n", + "# Create model with the reduced dataset\n", + "model = BSplinePETModel(dataset=pet_dataset, n_ctrl=n_ctrl, order=order)" + ], "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/Users/martinnorgaard/Dropbox/Mac/Documents/GitHub/nifreeze/src/nifreeze/model/pet.py:82: UserWarning: No mask provided; consider using a mask to avoid issues in model optimization.\n", + "/home/jhlegarreta/.virtualenvs/nifreeze/lib/python3.10/site-packages/nifreeze/model/pet.py:147: UserWarning: No mask provided; consider using a mask to avoid issues in model optimization.\n", " super().__init__(dataset, **kwargs)\n" ] } ], - "source": [ - "from nifreeze.model import BSplinePETModel\n", - "\n", - "model = BSplinePETModel(dataset=pet_dataset)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "d541ae17-8bf8-457a-8aeb-986a4324434a", - "metadata": {}, - "outputs": [], - "source": [ - "model.fit_predict(None)" - ] + "execution_count": 4 }, { "metadata": {}, "cell_type": "markdown", "source": [ "Let's now ask the model for a prediction at the time point pointed by the\n", - "index value `2`. By calling `model.fit_predict` the model is fitted using all\n", - "the available data, and a prediction is requested on the time provided as the\n", - "argument. The B-Spline PET model employs uses a B-Spline-based interpolation\n", - "method to estimate the data for the requested frame." + "index value `2`. By calling `model.fit_predict` the model is fit on the\n", + "remaining frames, and a prediction is requested on the time indicated by\n", + "the provided index." ], "id": "d1184a969ab147a5" }, { "cell_type": "code", - "execution_count": 7, "id": "dee05183-57b5-46ed-811a-c0b26a53a386", - "metadata": {}, - "outputs": [], + "metadata": { + "ExecuteTime": { + "end_time": "2026-03-21T23:24:50.665319569Z", + "start_time": "2026-03-21T23:24:48.565610273Z" + } + }, "source": [ "index = 2\n", - "predicted = model.fit_predict(index)" - ] + "predicted = model.fit_predict(index=index)" + ], + "outputs": [], + "execution_count": 5 }, { "metadata": {}, @@ -542,10 +210,13 @@ }, { "cell_type": "code", - "execution_count": 8, "id": "80b57514-d2a7-43bc-82e5-b4270822d4c5", - "metadata": {}, - "outputs": [], + "metadata": { + "ExecuteTime": { + "end_time": "2026-03-21T23:24:50.967104895Z", + "start_time": "2026-03-21T23:24:50.915073643Z" + } + }, "source": [ "import nibabel as nb\n", "\n", @@ -558,7 +229,9 @@ "nifti_img_after = nb.Nifti1Image(predicted, pet_dataset.affine)\n", "output_path_after = \"after_mc.nii\"\n", "nifti_img_after.to_filename(output_path_after)" - ] + ], + "outputs": [], + "execution_count": 6 }, { "metadata": {}, @@ -571,1780 +244,13 @@ }, { "cell_type": "code", - "execution_count": 10, "id": "452749dc-f7f1-4e6d-b4d6-49e67e742033", - "metadata": {}, - "outputs": [ - { - "data": { - "image/svg+xml": [ - "\n", - " \n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " 2025-07-18T12:30:57.809422\n", - " image/svg+xml\n", - " \n", - " \n", - " Matplotlib v3.10.1, https://matplotlib.org/\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - " \n", - " 2025-07-18T12:30:58.405374\n", - " image/svg+xml\n", - " \n", - " \n", - " Matplotlib v3.10.1, https://matplotlib.org/\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - " \n", - " 2025-07-18T12:30:58.933411\n", - " image/svg+xml\n", - " \n", - " \n", - " Matplotlib v3.10.1, https://matplotlib.org/\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " 2025-07-18T12:30:59.515995\n", - " image/svg+xml\n", - " \n", - " \n", - " Matplotlib v3.10.1, https://matplotlib.org/\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - " \n", - " 2025-07-18T12:31:00.050853\n", - " image/svg+xml\n", - " \n", - " \n", - " Matplotlib v3.10.1, https://matplotlib.org/\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - " \n", - " 2025-07-18T12:31:00.556922\n", - " image/svg+xml\n", - " \n", - " \n", - " Matplotlib v3.10.1, https://matplotlib.org/\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - "" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" + "metadata": { + "ExecuteTime": { + "end_time": "2026-03-21T23:24:56.103313231Z", + "start_time": "2026-03-21T23:24:50.968572029Z" } - ], + }, "source": [ "from niworkflows.viz.notebook import display\n", "\n", @@ -2356,7 +262,23 @@ " fixed_label=\"PET_before\",\n", " moving_label=\"PET_after\",\n", ")" - ] + ], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ], + "image/svg+xml": "\n \n\n \n \n \n \n \n 2026-03-21T19:24:51.830386\n image/svg+xml\n \n \n Matplotlib v3.10.0, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n \n \n \n \n 2026-03-21T19:24:52.560471\n image/svg+xml\n \n \n Matplotlib v3.10.0, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n \n \n \n \n 2026-03-21T19:24:53.319146\n image/svg+xml\n \n \n Matplotlib v3.10.0, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n \n \n \n \n \n \n 2026-03-21T19:24:53.992435\n image/svg+xml\n \n \n Matplotlib v3.10.0, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n \n \n \n \n 2026-03-21T19:24:54.715430\n image/svg+xml\n \n \n Matplotlib v3.10.0, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n \n \n \n \n 2026-03-21T19:24:55.450483\n image/svg+xml\n \n \n Matplotlib v3.10.0, https://matplotlib.org/\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n \n \n" + }, + "metadata": {}, + "output_type": "display_data", + "jetTransient": { + "display_id": null + } + } + ], + "execution_count": 7 }, { "metadata": {}, @@ -2367,195 +289,54 @@ "We now want to have an estimate of the motion that the model corrects. We will\n", "need to instantiate the `nifreeze.estimator.PETMotionEstimator`, which will\n", "take an instance of the model. We will call `run` to get the parameters of the\n", - "affine transform estimation." + "affine transform estimation. As the estimator runs, a registration process\n", + "estimates the transform parameters between the held-out volume and the\n", + "estimated volume: for each held-out volume index, the transform parameters are\n", + "saved to the dataset." ], - "id": "800352258e205959" + "id": "8973abb4db89247b" }, { - "metadata": {}, - "cell_type": "code", - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Estimating PET motion: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 21/21 [14:09<00:00, 40.45s/it]\n" - ] + "metadata": { + "ExecuteTime": { + "end_time": "2026-03-21T23:27:30.972664853Z", + "start_time": "2026-03-21T23:24:56.120828001Z" } - ], - "execution_count": 13, + }, + "cell_type": "code", "source": [ - "from nifreeze.estimator import PETMotionEstimator\n", + "from nifreeze.estimator import Estimator\n", "\n", - "estimator = PETMotionEstimator()\n", + "strategy = \"linear\"\n", + "estimator = Estimator(model=model, strategy=strategy)\n", "\n", "# Run the estimator\n", - "affines = estimator.run(\n", - " pet_dataset,\n", - " omp_nthreads=4,\n", - ")" + "estimator.run(pet_dataset, omp_nthreads=4)\n", + "\n", + "# Get the estimated motion affines\n", + "affines = pet_dataset.motion_affines" ], - "id": "978bdb151e5c348" - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "a2aa3ff8-47dd-4b0e-8d93-e9cfc896e663", - "metadata": {}, + "id": "d585e0e82d48ad81", "outputs": [ { - "data": { - "text/plain": [ - "[array([[ 0.65869042, -0.05374559, -0.04326331, 7.25648413],\n", - " [-0.08481499, 1.03366097, 0.32393041, 4.54118848],\n", - " [-0.1287729 , -0.02084604, 1.09105762, 10.03369772],\n", - " [ 0. , 0. , 0. , 1. ]]),\n", - " array([[ 1.00436190e+00, 1.36685864e-04, -4.30146570e-03,\n", - " -3.45004476e+00],\n", - " [-5.22324196e-03, 9.99752177e-01, -3.40056253e-02,\n", - " 2.95459257e+00],\n", - " [ 1.17120503e-02, 2.31347136e-02, 1.02379444e+00,\n", - " 5.87092791e+00],\n", - " [ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.00000000e+00]]),\n", - " array([[ 0.9993597 , -0.02264388, -0.01404295, -8.23041963],\n", - " [ 0.01819538, 1.00262127, -0.02286074, 5.6182289 ],\n", - " [ 0.0120363 , 0.01949678, 1.00669989, 5.56385759],\n", - " [ 0. , 0. , 0. , 1. ]]),\n", - " array([[ 9.93726381e-01, -2.01454338e-03, -6.06226804e-03,\n", - " 2.27780692e+00],\n", - " [ 2.44405961e-03, 1.00075068e+00, 1.18664965e-02,\n", - " -5.08254523e-02],\n", - " [ 9.08306629e-03, -1.25918094e-02, 9.96807810e-01,\n", - " -1.84802700e+00],\n", - " [ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.00000000e+00]]),\n", - " array([[ 0.99555252, 0.00697589, -0.01263191, 0.40161381],\n", - " [-0.0036422 , 1.00010256, 0.02227732, -0.14174433],\n", - " [ 0.01594265, -0.01882813, 0.99276855, 1.23165204],\n", - " [ 0. , 0. , 0. , 1. ]]),\n", - " array([[ 9.95662863e-01, 2.10832825e-02, 1.57922020e-03,\n", - " 3.28659903e+00],\n", - " [-1.71195407e-02, 9.99269052e-01, 8.96087945e-03,\n", - " 9.43485559e-01],\n", - " [ 1.60505611e-03, -6.64900380e-03, 9.95020497e-01,\n", - " -2.09456183e+00],\n", - " [ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.00000000e+00]]),\n", - " array([[ 0.9955716 , -0.00943136, 0.01599999, 2.54713124],\n", - " [ 0.01021034, 0.99815451, -0.0115218 , -2.25007722],\n", - " [-0.01671978, 0.01221078, 0.99446634, -3.46412582],\n", - " [ 0. , 0. , 0. , 1. ]]),\n", - " array([[ 9.96043323e-01, 4.19580998e-03, -1.95189867e-02,\n", - " -1.58288862e+00],\n", - " [ 1.55771875e-04, 9.96735063e-01, 8.14501892e-03,\n", - " -3.19099407e+00],\n", - " [ 1.88002615e-02, -7.01573512e-03, 9.94415808e-01,\n", - " 3.43090551e+00],\n", - " [ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.00000000e+00]]),\n", - " array([[ 9.96858965e-01, 4.21906565e-03, -8.76506011e-03,\n", - " -3.57107231e+00],\n", - " [-5.13369546e-03, 9.97597750e-01, -1.75156024e-03,\n", - " 3.51692327e+00],\n", - " [ 9.75818155e-03, 3.32096868e-03, 9.94705301e-01,\n", - " -6.10209350e-01],\n", - " [ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.00000000e+00]]),\n", - " array([[ 0.99618262, -0.01247075, 0.02555383, 1.3410237 ],\n", - " [ 0.01267462, 0.99794381, -0.01375581, -2.30580559],\n", - " [-0.0245818 , 0.01462223, 0.9932922 , 2.91240489],\n", - " [ 0. , 0. , 0. , 1. ]]),\n", - " array([[ 0.99561464, 0.01542948, -0.01507587, 1.52134464],\n", - " [-0.01303729, 0.99715628, 0.01088515, 4.22579116],\n", - " [ 0.01492496, -0.00965489, 0.99587545, -4.76106673],\n", - " [ 0. , 0. , 0. , 1. ]]),\n", - " array([[ 9.96781013e-01, -9.48625297e-03, -5.16499433e-04,\n", - " -1.56744115e+00],\n", - " [ 1.11669328e-02, 1.00037025e+00, 7.69344910e-03,\n", - " -3.22634360e+00],\n", - " [ 7.85665886e-04, -5.84157807e-03, 9.93970523e-01,\n", - " 4.59223794e+00],\n", - " [ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.00000000e+00]]),\n", - " array([[ 9.96369586e-01, 1.09782548e-03, 7.51030470e-03,\n", - " 7.70604666e-01],\n", - " [-1.43173537e-03, 9.96492139e-01, -1.24759745e-02,\n", - " -6.94809813e-01],\n", - " [-7.94099815e-03, 1.55908813e-02, 9.88973906e-01,\n", - " -3.30796714e+00],\n", - " [ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.00000000e+00]]),\n", - " array([[ 9.96495387e-01, 4.55437158e-05, 1.83387633e-03,\n", - " -6.04197739e-01],\n", - " [ 9.74612251e-04, 9.96351250e-01, 1.33186056e-02,\n", - " 2.93155919e+00],\n", - " [-3.63356763e-04, -1.10115122e-02, 9.88773015e-01,\n", - " 1.83457314e+00],\n", - " [ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.00000000e+00]]),\n", - " array([[ 9.95627660e-01, 8.97572310e-03, -2.16785338e-02,\n", - " 6.64208940e-01],\n", - " [-6.03930134e-03, 9.95969813e-01, 2.74339357e-03,\n", - " -3.38339293e+00],\n", - " [ 2.18788342e-02, -5.76766244e-03, 9.94681953e-01,\n", - " 1.71106016e+00],\n", - " [ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.00000000e+00]]),\n", - " array([[ 9.93410272e-01, -5.97468439e-03, 1.52859256e-02,\n", - " -1.19396493e-01],\n", - " [ 6.90144537e-03, 9.91760578e-01, 1.91461172e-04,\n", - " 1.53534578e+00],\n", - " [-1.63414579e-02, 3.60500905e-03, 9.90037949e-01,\n", - " -3.46969996e+00],\n", - " [ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.00000000e+00]]),\n", - " array([[ 9.95401668e-01, 4.93950040e-03, 1.16860555e-02,\n", - " -1.06651616e+00],\n", - " [-2.70115047e-03, 9.94034051e-01, -2.92264269e-03,\n", - " 1.60542254e+00],\n", - " [-1.38313893e-02, 5.50411368e-03, 9.92655166e-01,\n", - " 5.08760438e+00],\n", - " [ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.00000000e+00]]),\n", - " array([[ 9.95019949e-01, 6.86240876e-04, -1.97823415e-02,\n", - " 1.09481744e+00],\n", - " [ 7.73395315e-04, 9.99058714e-01, 1.04567001e-02,\n", - " -1.74760108e+00],\n", - " [ 2.37047459e-02, -1.85117983e-02, 9.94683045e-01,\n", - " -3.60331769e+00],\n", - " [ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.00000000e+00]]),\n", - " array([[ 1.00386562e+00, -1.53681127e-03, 3.63590820e-02,\n", - " -2.05937409e+00],\n", - " [ 1.17997423e-02, 9.82167546e-01, 3.59117827e-03,\n", - " 4.24724633e+00],\n", - " [-4.81443971e-02, 4.03931126e-02, 9.88926438e-01,\n", - " 6.49017983e+00],\n", - " [ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.00000000e+00]]),\n", - " array([[ 1.01837746e+00, 1.56079153e-03, -1.29562698e-02,\n", - " 3.87937020e+00],\n", - " [-2.84947183e-02, 1.04899279e+00, -3.83720731e-02,\n", - " -7.46849783e+00],\n", - " [-1.15677007e-02, 1.27772750e-02, 1.05625735e+00,\n", - " -1.28070101e+01],\n", - " [ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.00000000e+00]]),\n", - " array([[ 0.97167238, -0.02674875, 0.01412372, -1.04664049],\n", - " [ 0.13052251, 0.85375426, 0.17929616, 12.960393 ],\n", - " [-0.13073532, 0.0746116 , 0.94062474, 11.36182639],\n", - " [ 0. , 0. , 0. , 1. ]])]" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" + "name": "stdout", + "output_type": "stream", + "text": [ + "Dataset size: 1474560x21.\n", + "Parallel execution: {'n_jobs': 8, 'omp_nthreads': 4}.\n", + "Model: .\n", + "Processing in \n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Realign vol. <20>: 100%|██████████| 21/21 [02:34<00:00, 7.37s/vols.]\n" + ] } ], - "source": [ - "affines" - ] + "execution_count": 8 }, { "metadata": {}, @@ -2568,10 +349,13 @@ }, { "cell_type": "code", - "execution_count": null, "id": "d3627d44376b27f4", - "metadata": {}, - "outputs": [], + "metadata": { + "ExecuteTime": { + "end_time": "2026-03-21T23:27:31.216733841Z", + "start_time": "2026-03-21T23:27:31.161895488Z" + } + }, "source": [ "import numpy as np\n", "import pandas as pd\n", @@ -2582,19 +366,24 @@ "motion_parameters = []\n", "\n", "for _idx, affine in enumerate(affines):\n", - " tx, ty, tz, rx, ry, rz = extract_motion_parameters(affine)\n", + " tx, ty, tz, rx, ry, rz = extract_motion_parameters(affine.matrix)\n", " motion_parameters.append([tx, ty, tz, rx, ry, rz])\n", "\n", "motion_parameters = np.array(motion_parameters)\n", "estimated_fd = compute_fd_from_motion(motion_parameters)" - ] + ], + "outputs": [], + "execution_count": 9 }, { "cell_type": "code", - "execution_count": null, "id": "4f141ebdb1643673", - "metadata": {}, - "outputs": [], + "metadata": { + "ExecuteTime": { + "end_time": "2026-03-21T23:27:31.494676093Z", + "start_time": "2026-03-21T23:27:31.218218281Z" + } + }, "source": [ "# Set up the matplotlib figure\n", "import matplotlib.pyplot as plt\n", @@ -2606,7 +395,23 @@ "plot_volumewise_motion(np.arange(len(estimated_fd)), motion_parameters)\n", "\n", "plt.show()" - ] + ], + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA/MAAAJjCAYAAABA7UFUAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQABAABJREFUeJzs3XVYFN0XB/Dv7tLdmIhigSgKBiqK2N1id3egKBYWdqDYgV0oimKjIraoYKKo2KBINxJ7f38g+5MXVGKX2YXzeZ7zvL67szNn5uwsc2fu3OEBYCCEEEIIIYQQQojM4HOdACGEEEIIIYQQQgqGGvOEEEIIIYQQQoiMocY8IYQQQgghhBAiY6gxTwghhBBCCCGEyBhqzBNCCCGEEEIIITKGGvOEEEIIIYQQQoiMocY8IYQQQgghhBAiY6gxTwghhBBCCCGEyBhqzBNCCCGEEEIIITKGGvOEEEKIlBs6dCgYY6hUqZLY5lmpUiUwxjB06FCxzVOazJw5EyEhIcjIyEBgYCDX6RBCCCFiR415QgghpQpjLF9ha2vLdapi0b9/f0ydOpXrNIpVmzZtsGbNGty5cwfDhw/H3LlzuU6JEEIIETs5rhMghBBCitOgQYNy/P+QIUPQtm3bXK+/evWqONOSmAEDBsDc3BwbN27M8fqnT5+gpKSE9PR0jjKTnJYtWyIzMxMjR44sketHCCGEANSYJ4QQUsocPnw4x/9bW1ujbdu2uV7/L2VlZaSkpEgytWL38+dPrlOQCAMDA6SkpPyzIc/j8aCgoFBitwMhhJCSjbrZE0IIIf/h6+uL58+fw9LSEn5+fkhKSsLy5csBAF27dsW5c+cQGhqK1NRUvHv3DvPnzwefz89zHqamprh+/TqSkpLw9etXzJo1K9fyJk2ahBcvXiApKQnR0dF4+PAh+vfv/9cc85OHr68vOnfuDGNjY9HtAx8+fADw53vm7ezscPPmTSQmJiImJgZeXl6oWbNmjmmcnZ3BGIOJiQn27t2LmJgYxMbGwt3dHcrKyn/N283NDQkJCXlOd+TIEXz79k20DlZWVrh06RIiIiKQnJyM9+/fY8+ePX+dP2MMI0aMgJqammids9eRMQY3NzcMGDAAL168wM+fP9G+fXsAgIODA+7cuYPIyEgkJyfj0aNH6NWrV57zd3NzQ+/evfHy5UskJyfj7t27MDc3BwCMGTMGb9++RUpKCnx9ffMc56Bhw4a4ePEiYmNjkZSUhBs3bqBJkyY5plFTU8OGDRvw4cMHpKamIjw8HFeuXEG9evX+uv6EEEJKD7oyTwghhORBV1cXFy9exLFjx3Do0CGEh4cDAIYNG4bExESsX78eiYmJaNmyJZYuXQoNDQ04OjrmmIe2tjYuXbqEU6dOwcPDA71798bq1avx/PlzXLp0CQAwatQouLm54cSJE9i4cSOUlJRQp04dNGrUCEePHv1jfvnJw8XFBZqamqhQoQKmT58OAEhMTPzjPFu1aoWLFy/i/fv3WLRoEZSVlTF58mTcuXMHlpaW+PTpU47pPTw88OHDBzg5OcHS0hKjR4/Gjx8/MGfOnD8u4/jx45g0aRI6deqEkydPil5XVlZGly5dsG/fPgiFQujr6+PKlSuIiIjAypUrERsbC2NjY/Ts2fOP8waybqMYM2YMGjZsiFGjRgEA7t69K3q/ZcuWsLe3x+bNmxEZGYmPHz8CAKZOnYqzZ8/i8OHDUFBQQL9+/XDy5El06tQJFy5cyLGMZs2aoWvXrtiyZQsAwMnJCefOncPq1asxYcIEbN26Fdra2nB0dIS7uztatWol+qydnR0uXryIx48fY/HixRAKhRg+fDiuX7+OZs2a4eHDhwCA7du3o3fv3ti8eTOCgoKgq6sLGxsbmJqa0oB+hBBCRBgFBQUFBUVpDTc3N8YYy/Gar68vY4yxMWPG5JpeSUkp12vbtm1jiYmJTEFBIdc8Bg0aJHpNXl6ehYWFsRMnToheO336NHv+/Plfcxw6dChjjLFKlSoVOA9vb2/24cOHXNNWqlSJMcbY0KFDRa8FBASw79+/M21tbdFrtWvXZhkZGWzfvn2i15ydnRljjO3evTvHPD09PVlERMQ/t/mXL19ybAMArHfv3owxxmxsbBgA1q1bN8YYY1ZWVgWu6d69e1lCQkKu1xljLCMjg5mamv6zrnJycuzZs2fs6tWrueaRkpKSoxajR49mjDEWFhbG1NTURK+7uLjkqltwcDC7ePFirmWHhISwy5cvi16LiYlhbm5unO8fFBQUFBTSG9TNnhBCCMlDamoq9u7dm+fr2dTU1KCrq4tbt25BVVU1V3f0hIQEHDp0SPT/6enp8Pf3R5UqVUSvxcbGokKFCqhfv36B88tvHvlRpkwZ1KtXD/v27UNMTIzo9efPn8PHxwcdO3bM9Znt27fn+P9bt25BT08P6urqf13WiRMn0LFjR6iqqope69u3L75+/Yrbt28DyNouANC5c2fIyYmvI6Gfn1+egxv+vj21tLSgqamJW7duwdLSMte0165dy9FL4cGDBwAAT0/PHD0fsl/PrnfdunVRvXp1HDlyBLq6uqJQVVXFtWvX0Lx5c/B4PABZ69+oUSOULVtWDGtNCCGkJKLGPCGEEJKH0NDQPAdQMzMzw6lTpxAbG4uEhARERkaKBs/T1NTMMe3Xr19zfT4mJgba2tqi/1+1ahUSExPx8OFDvHnzBps3b851/3ReCpJHfmTf2x0cHJzrvVevXkFfXx8qKio5Xv/8+XOudQOQY/3ycvz4caioqKBr164AAFVVVXTs2BEnTpwQTePn54eTJ09i0aJFiIyMhJeXF4YNGwYFBYUCr9vvsscM+K9OnTrh3r17SElJQUxMDCIjIzFhwoQ8t+V/1zsuLg4A8OXLlzxfz94e1apVAwAcOHAAkZGROWL06NFQUlISLc/R0RHm5ub48uULHjx4AGdnZ1SuXLkIa04IIaSkocY8IYQQkoe8Rq7X1NSEn58fLCwssHDhQnTu3BmtW7cW3aP+30HwMjMz85x39tVXAHj9+jVq1KiBvn374vbt2+jVqxfu3LmDRYsW/TG3guYhKflZv7w8ePAAHz58gL29PQCgS5cuUFFRwfHjx3NM16dPH1hbW2Pz5s0oX7489u7di8ePH+e4ol9QedXVxsYGZ8+eRWpqKiZMmIAOHTqgdevWOHz4cJ7b8k/r/a/tkT2vmTNnonXr1nlG9pX9EydOoEqVKpg8eTLCwsIwa9YsvHz5UjRgHyGEEEID4BFCCCH51KJFC+jp6aFnz564deuW6PWiXjFNTk6Gh4cHPDw8IC8vj1OnTmHevHlYsWJFno9NK0geWcMB/Ft2t/EaNWrkeq9mzZqiEeXFxcPDA1OnToW6ujr69u2LDx8+iLql/+7Bgwd48OAB5s+fj/79++PIkSPo16/fP0e1L4hevXohNTUV7dq1Q1pamuj14cOHi20ZABASEgIAiI+Px7Vr1/45/ffv37Ft2zZs27YN+vr6CAgIwLx580SDJxJCCCnd6Mo8IYQQkk/ZV15/v/IsLy+PCRMmFHqeOjo6Of4/PT0dQUFB4PF4kJeXL3IeSUlJ+ep2//37dwQGBmLo0KE5pq9Vqxbatm2ba0T3ojp+/DiUlJQwdOhQtG/fHh4eHjne19LSyvWZJ0+eAAAUFRXFmktmZiYYYxAIBKLXKlWqhO7du4t1OY8fP8a7d+8wc+bMPHsX6OnpAci6gq+hoZHjvYiICISFhYl93QkhhMguujJPCCGE5NPdu3cRHR2N/fv3Y9OmTWCMYfDgwf/sVv43V65cwffv33Hnzh2Eh4fD1NQUkyZNwvnz5//4GLmC5PH48WP069cP69atw8OHD5GYmIhz587lOd9Zs2bh4sWLuHfvHvbs2SN6NF1cXNxfu/0XRmBgIN6+fQsXFxcoKSnl6mI/dOhQTJgwAadPn0ZISAjU1dUxevRoxMXFif3Ewvnz5+Hg4IBLly7hyJEjMDAwwMSJE/Hu3TtYWFiIbTmMMYwaNQoXL17Ey5cvsXfvXoSGhqJ8+fKws7NDfHw8unbtCnV1dXz9+hUnT57E06dPkZiYiNatW6Nhw4aYMWOG2PIhhBAi+zgfUp+CgoKCgoKr+NOj6f70uLjGjRuzu3fvsqSkJPb161e2cuVK1qZNG8YYY7a2tv+cx969e3M8Km706NHsxo0bLCIigqWkpLC3b9+yVatWMXV1ddE0eT2aLr95qKiosEOHDrHo6GjGGBMtO69H0wFgLVu2ZLdu3WJJSUksNjaWnTlzhtWsWTPHNNmPptPV1c3xel55/i2WLl3KGGPszZs3ud6rW7cuO3z4MPv48SNLSUlh379/Z2fPnmWWlpb/nO/fHk33p8e9DR8+nAUHB7OUlBQWFBTEhg4dKlrPf80je1s6ODjkeN3W1pYxxlivXr1yvG5hYcFOnjwpqvmHDx/YsWPHmJ2dHQOyHmG4atUqFhgYyOLi4lhCQgILDAxk48aN43x/oaCgoKCQnuD9+gchhBBCCCGEEEJkBN0zTwghhBBCCCGEyBhqzBNCCCGEEEIIITKGGvOEEEIIIYQQQoiMocY8IYQQQgghhBAiY6gxTwghhBBCCCGEyBhqzBNCCCGEEEIIITJGjusEpFG5cuWQkJDAdRqEEEIIIYQQQkohdXV1hIWF/XUaasz/R7ly5RAaGsp1GoQQQgghhBBCSrHy5cv/tUFPjfn/yL4iX758eam+Oq+uro7Q0FCpz7O0ozrJBqqTbKA6yQaqk2ygOskGqpNsoDrJBlmqU3au/8qTGvN/kJCQIPVFBmQnz9KO6iQbqE6ygeokG6hOsoHqJBuoTrKB6iQbSlKdaAA8QgghhBBCCCFExlBjnhBCCCGEEEIIkTHUmCeEEEIIIYQQQmQM3TNPCCGEEEIIIURq8Hg8aGlpQV1dHTweTyzzVFVVRWpqKipWrIikpCSxzLMwGGNISEhAbGwsGGNFmhc15gkhhBBCCCGESAV9fX2MHj0aNWvWFOt8+Xw+/P39MXfuXAiFQrHOuzBev36NXbt2ISIiotDzoMY8IYQQQgghhBDOycnJwcXFBYmJidi6dSt+/PiBzMxMscybz+fD1NQUr1694rQxLxAIYGBgAHt7e7i4uGDChAnIyMgo1LyoMU8kTkVFFcnJ3HVlIYQQQgghhEi/smXLQklJCWvXrsWbN2/EOm8+nw8dHR18+vSJ8yvz79+/R3R0NObPn48yZcrg69evhZoPDYBHJEJbSxf97Efh4L7LOHvqIYYMmii2+10IIYQQQgghJQ+fn9U8/fnzJ8eZSF72OgoEgkLPg67ME7Hh8XiwsmyCzh3t0bRJK8jJyYveGz50CqpVNcOK1Y50lZ4QQgghhBBCioga86TIdHUN0KFdL3Rs3xtly1YQvR706gnOXzgBHo+HKZMWwKZpa2zZ5IEFzhPxNfQjdwkTQgghhBBCiIyjxjwpFD6fj4YNmqNzR3tYN7KFQJD1VUpIiIPPtbM4f+EE3n8IFk0f8v41ljhvhnGlqti2+QSWrXDAA/+bXKVPCCGEEEIIITKNGvOkQAz0y6Jjh97o0K4XDAzKil5/9vwRzl3wgN/NS0hLy32Py+vg5xg7sRcWL9yE2uZWWL50B9z3ueLw0R3FmT4hhBBCCCGElAjUmCf/JBDIobF1C3TqaI+G9ZuJBqaIi4vBFR8vnLvogc+f3/9zPjExkZgxaygmTZiHbl36Y9SIGaha1Qyr1jghNTVZ0qtBCCGEEEIIISUGNebJH5UtUwGdOvZB+7Y9oatrIHo9IPAezl3wwO07PkhPTy/QPDMy0uG6aRHevn2JqZMXokXz9jCqWBkLnCci7NsXMa8BIYQQQgghpCRQUFYq0ud5fD4ECgqQV1YCy8ej6dJSUvM9bz09PTx//hybNm3CihUrAACNGzfGjRs30KFDB1y/fr3Qef8NNeZJDnJy8rBp0hqdOvZBfaumotejYyJx6fIpnL94AmFhn4u8nPMXT+Djp3dYvHATqlSugW2bT2Lp8hl49PhOkedNCCGEEEIIKTkmHdiByvXqiGVeffM53YeAp9g8dFy+po2MjMSIESPg5eWFK1euIDg4GAcPHsTmzZsl1pAHqDFPfqlYoTI6duiD9m17QEtLBwAgFArx6PEdnL/ggbv3fZGRUbCr8P/yMigQYyf2whJnN5iZ1sVKl13YtWcdjp/YI9blEEIIIYQQQmQYY1xn8E8XL17Erl27cPjwYTx69AhJSUlwcnKS6DKpMV+KycsrwLZZO3TuZA+LOg1Fr0dEhuPiJU9cuHQS4eGhEs0hKuoHpjkMwrTJi9CxQ2+MG+OIatXMsGbdPPz8mf+uLYQQQgghhJCSafPQcWLpZm9RxwJPnz0Vezf7bDNnzsSLFy/Qp08fWFlZIS0trTCp5hs15kshY+Nq6NzRHm1adYWGhhYAIDMzEw/8/XD+4gncf+AHoTCz2PJJT0/HmvXz8ObtS0yaMBet7DrDqGIVLFg0SeInEwghhBBCCCHSrzCN69/x+XxkpqUhPSUVwnw05gvDxMQE5cqVA5/Ph7GxMV68eCGR5WSjxnwpoaSkjBa2HdCpQx+Y17IUvf49PFR0FT4yMpzDDIEz3kfw4eMbOC/YiGpVzbBjiycWL5uGwCf3Oc2LEEIIIYQQQv5GXl4ehw4dwvHjxxEcHIzdu3ejdu3aiIiIkNgyqTFfwlU1MUXnjvZo1aoL1FTVAQCZmRm4c+86zp33wOOAOxI7M1UYz54/wriJvbB00RbUqG6ONSv3YNuO1fA8vZ/r1AghhBBCCCEkTy4uLtDU1MSUKVOQmJiIjh07wt3dHV26dJHYMqkxXwIpK6uilV0ndOpoj5o1aoteDw37jAsXT+DSldOIjpbcGaKiioj4jinTB2DG1MVo17YHJk2Yi+rVzLDOdSHS0n5ynR4hhBBCCCGEiNja2mLatGmws7NDQkICAGDw4MF4+vQpxo0bh+3bt0tkudSYL0Fq1qiNTh3t0cquE5SVVQEA6elpuH3nKs5dOI7AJw/AZGAkSABIS/uJlWvm4O27IIwfOxtt23RHpUpVsXDRJPyI+MZ1eoQQQgghhBACAPDz84OCgkKO1z59+gQtLS2JLpca8zJOVUUNrey6oHPHvjAxqSl6/fOXDzh34Tiu+HghLi6GwwyLxvP0AYS8D8aiBRtRo7o5tm/xxKKlU/Ds+SOuUyOEEEIIIYQQzlBjXkYZG1fDq5ffsW/PJSgqZj2mIS3tJ27cvITzFzxKVGP3ydMHGDuxF5Yu2oxqVc2wbvU+bNm2HF5nj3CdGiGEEEIIIYRwghrzMojPF2D1cneEf4uHoqISPnx4g3MXPOBz7SwSEuK4Tk8iwsNDMXlaf8yasQytWnbB1MnOqFa1FlzdFiM9XbLPbySEEEIIIYQQacPnOgFScEJhJs5f9EDZ8pqYNWc4RozpglNeB0tsQz7bz5+pWLZiJrbuWInMzEx07NAbrusOQk/XgOvUCCGEEEIIIaRYUWNeRu0/6IYapoYIfvOc61SK3YmTezF77ijEx8fCzLQutm/xhHktS67TIoQQQgghhJBiQ415IpMeB9zFuIm9EPI+GLq6Bli/Zj86d7TnOi1CCCGEEEIIKRbUmCcy69v3r5g0tR9u3LwEeXkFOExfiulTF0NOTp7r1AghhBBCCCFEoqgxT2RaamoyFi+dip2710IoFKJr537YsPYAdHT0uU6NEEIIIYQQQiSGGvOkRDh6fBec5o9FYmI8zGtZYvsWT5jWrMN1WoQQQgghhBAiEdSYJyWG/8ObGDepNz5+egd9PUO4rjuM9u16cp0WIYQQQgghhIidTDXmmzVrhrNnzyI0NBSMMXTr1i3XNIsXL0ZYWBiSk5Ph4+ODqlWrcpAp4Upo6CdMmGyPW7d9oKCggNkzV2DKpAUQCOS4To0QQgghhBBCxEamGvOqqqp4+vQpJk6cmOf7jo6OmDJlCsaNG4dGjRohKSkJly9fhqKiYjFnSriUkpIE5yWTsXf/JgBAj26DsG71Xmhp6XCcGSGEEEIIIYSIh0xdrrx06RIuXbr0x/enTZuGZcuW4ezZswCAIUOGIDw8HN27d8fx48eLK00iBRhjOHBoC96FvMLc2WtgUachtm/xxMJFk/Dm7Uuu0yOEEEIIIYQUgIpK0S7Q8vl8KCnJQ0VFEUKh8J/TJyf/zPe8Bw8ejA0bNqBcuXJIS0sTvX769GkkJCRgyJAhhcr5X2SqMf83lStXRtmyZXH16lXRa/Hx8Xjw4AEaN25c4Ma8urq6uFMUq+z8pD1Prj1/8RAz5wzFvDnrUaF8JWzacARbti/HDb8LxbJ8qpNsoDrJBqqTbKA6yQaqk2ygOskGqpP4qKqqgs/niyLbzZsr0aSpabHmcud2EGxtnfI1raenJzZt2oTu3bvj5MmTAAB9fX106tQJ7du3z7Eu2bLXUVVVNdd3J7/fpRLTmC9TpgwAIDw8PMfr4eHhovcKIjQ0VCx5SZqs5Mm1jIxMBL34juhIYMbUJVi/dhOqVNMHn88rluVTnWQD1Uk2UJ1kA9VJNlCdZAPVSTZQnYouNTUV/v7+MDU1hY7O/2+RVVFVLfZcVNXUUK9evXxP7+PjgylTpiAkJAQAMHDgQISHhyMuLi7P+RgaGqJixYp4/PgxlJSUCpVjiWnMi1v58uWRkJDAdRp/pK6ujtDQUKnPU5rweDwM6DcWffuMwtcvsTh//gpWr3NCQkKcxJZJdZINVCfZQHWSDVQn2UB1kg1UJ9lAdRKfihUrYu7cuXj16hU+ffoker2+1eQid7MXCAQwNzfHixcvkJmZ+c/pC9LNHgBWrlyJBw8eIDw8HGFhYXB3d8fOnTsRGBiY5/SVKlXCly9fMH78eHz58iXHe9nfqX8pMY3579+/A8g6w5H97+z/f/LkSYHnl5CQIBM7o6zkKS2271yDl0FP4OS4ChZ1GmLdqv2Yv2giQkJeS3S5VCfZQHWSDVQn2UB1kg1UJ9lAdZINVKeiS0pKglAoFMXvEhNTijRvPp+P1NR0JCQk5+ue+YIKCAjA06dPMWjQIFy5cgW1atVCp06d/ris7HVMSkoq9PdGpkaz/5sPHz7g27dvaNWqleg1dXV1NGrUCPfu3eMwMyJtbt32wYQpfREa+gllylTAZtdjsGvRkeu0CCGEEEIIITJs9+7dGDZsGIYPH46rV6/i69evEl2eTDXmVVVVYWFhAQsLCwBZg95ZWFigYsWKAABXV1fMnz8fXbp0gbm5OQ4cOICwsDB4eXlxmDWRRh8/vsW4Sb3xwP8mlJSUsXDeBowdNSvPwSkIIYQQQggh5F+OHDmCChUqYPTo0XB3d5f48mSq5VK/fn08efJE1G1+w4YNePLkCZYsWQIAWL16Ndzc3LBz5048fPgQampqaN++PX7+LNj9DqR0SEyMx9wFY3H46A4AQL++ozB3zhqOsyKEEEIIIYTIovj4eHh6eiIxMbFYLijL1D3zfn5+4PH+Pvq4s7MznJ2diykjIuuEQiF2u6/Hu3evMHfOarSy64wH/jfhc/UM16kRQgghhBBCZEz58uVx+PDhHM+blxSZujJPiKTcuHkR+w9tAQBMmTgf+voFf5whIYQQQgghpHTS0tJC9+7d0aJFC2zZsqVYlkmNeUJ+OXpsF4JePYGamgZmObhwnQ4hhBBCCCFERgQGBmLfvn2YPXs23rx5UyzLpMY8Ib8IhZlYuXoOUlNT0MDKBt26DOA6JUIIIYQQQogMqFy5MrS0tLBu3bpiWyY15gn5zZevH7BrT9YOOHb0LJQrZ8RxRoQQQgghhBCSGzXmCfmP02cOISDwPpSVVeDkuIoeV0cIIYQQQgiROtRKIeQ/GGNYvdYJSUmJMK9lCfs+I7lOiRBCCCGEEEJyoMY8IXkI/xGGzduyBsEbPmQKKhtX5zgjQgghhBBCCPk/aswT8geXLp/CnXvXoaCggLlzVkNOTp7rlAghhBBCCCEEADXmCfmrdRsWIC4uBlVNTDFk0ESu0yGEEEIIIYQQANSYJ+SvYmIisX6jMwBgQL8xMK1Zh+OMCCGEEEIIIYQa84T8081bl3H1mjcEAgHmOK6GoqIS1ykRQgghhBBCSjlqzBOSDxs3L0FEZDiMKlbG6JEOXKdDCCGEEEIIKeWoMU9IPiQmxmPNunkAgF49hqBeXWuOMyKEEEIIIaT0UFJSLlooKkNBXhFKivmbvqAqVaoExliu8PX1lcDWyCInsTkTUsI8fHQLZ88dQ9fO/eA4czlGjemKpORErtMihBBCCCGkRHNzPQrzWpbFusznLx5jyvQB+Z7+y5cvKFOmjOj/y5Qpg6tXr+LmzZuSSA8AXZknpEC27ViF0LDPKGNYHhPHz+U6HUIIIYQQQko8xhjXKfyTUChEeHg4wsPDERsbi+3bt+PevXtYtGiRxJZJV+YJKYDU1GSsWjMHrusOoUP7Xrh1xwf37kuu6wwhhBBCCCGl3ZTpAwrV9f13fB4fFhYWePr0KYRM+M/pU1NTCr0sd3d3qKuro02bNhI9EUGNeUIK6PmLx/A4uRf97Edi5vSlGD66C+LjY7hOixBCCCGEkBKrKI1rAODz+UhL/4nUnykQCv/dmC+sefPmoV27dmjYsCESEyV7Sy51syekENz3ueLjx7fQ0dHH9KmLuE6HEEIIIYQQwrGePXti4cKFsLe3x/v37yW+PGrME1II6elpWLF6NjIy0tGieXu0suvMdUqEEEIIIYQQjtSqVQsHDhzAqlWr8PLlSxgaGsLQ0BDa2toSWyY15gkppDdvX+Lg4W0AgKmTF0JP14DjjAghhBBCCCFcqF+/PlRVVbFgwQJ8//5dFKdOnZLYMqkxT0gRHD66A8FvXkBdXRMzZ7hwnQ4hhBBCCCGEA/v37wePx8sVdnZ2Elum2BvzNWvWxKJFi3Dt2jW8e/cOYWFhePr0Kfbt24f+/ftDQUFB3IskhDOZmRlYscoRaWk/0ahhc3Tp1JfrlAghhBBCCCGlgNga8/Xq1YOPjw8CAwNhY2ODBw8ewNXVFQsWLMChQ4fA4/Hg4uKCsLAwODo6UqOelBifPodgt/t6AMD4sbNRrmxFjjMihBBCCCGElHRiezSdp6cn1qxZg969eyMuLu6P01lbW2Pq1KlwcHDAihUrxLV4Qjh18tR+NG3SChZ1GmL2rJWYPnOwRB95IQvk5eXRsEFzvHgZgLg4enQfIYQQQggh4iS2xnz16tWRkZHxz+nu37+P+/fvQ06OHnFPSg7GGFauccKeHWdRp3Z99O45DB4n3blOizMaGtpYumgz6tSuj+joCLisnIWAwHtcp0UIIYQQQkiJIbZu9vlpyBdlekKk3ffvX7F1e1Zvk5HDp8O4UlWOM+JGhfLG2LLpGOrUrg8A0NHRx5qV7hg5fBr4fAHH2RFCCCGEEGnFGAOAUnHhN3sds9e5UPMQVzL/Vb9+fdjZ2cHAwAB8fs5zBg4ODpJaLCGcOn/xBGxs2sC6oS2cHFdh9ryRXKdUrOrUro8lizZDU0Mb3759xaKlU9C5oz26dO6HQQPGw6JOQyxb7oAfEd+4TpUQQgghhEiZqKgoAFmDqoeEhHCcjWTVrFkTABAZGVnoeUikMe/k5IRly5YhODgY4eHhOc42FOXMAyGyYO36+XDf6Y3q1c1h37v0NOZbt+oKRwcXyMsrIOjVE8xfOAExsVFYv9EZAYH34TBjKWqbW2HXdi+sXjsXd+5d4zplQgghhBAiRZKSknDjxg3Y29sDAF6/fi22Ht18Ph+GhoaoVKkSp2NbycnJoWbNmrC3t8eNGzeQnJxc+HmJMS+RqVOnYsSIEdi/f78kZk+IVIuK+gFXt8VYOG8D7HuPQHxcKtcpSdyQQRMxfOgUAMCNm5dEj+vLduPmRQS/eY4F8zbAtGYdLFuyFadOH8D2XauRnp7OVdqEEEIIIUTK7N27FwDQt694H/nM5/NRsWJFfPnyRSoGqr5x44ZoXQtLIo15oVCIO3fuSGLWhMgE3xsX0KxpG9i16IjXL79DQUERQALXaYmdvLw8Zs5wQdvW3QAAR47txG739Xn2wPn2/SumTB+AUSOmo2+fkejZYwjMza2wxGU6QkM/FXfqhBBCCCFECjHG4O7ujmPHjkFPTw88Hk8s81VVVcXjx48xfvx4JCUliWWehcEYQ2RkZJGuyOeYn7hj1qxZbMOGDWKfb3GEuro6Y4wxdXV1znMpCXmW5tBQ12KeHneYr08wmzp5Ief5iDvU1TWZ67qDzNcnmF299JJ16tAn35+1bmjLvE7eZ74+wez8mQDWumUXjteF9idZCKqTbATVSTaC6iQbQXWSjaA6yUbIUp3ym6vYRrP/3dq1a1GjRg28e/cOZ8+ehaenZ44gpDSIT4jF5q1LAQBdO/eHRZ0GHGckPuXKGWHzxuOwqNMQiUkJmD13NM5fPJHvz9/398OosV3x9Jk/VFRUMc9pLRwdlkNJSVmCWRNCCCGEEFJySKQxv2nTJtjZ2eHNmzeIiopCXFxcjiCktHj0+A7KlNMAn8/H7JkroaysynVKRWZeyxJbN3nAqGJlfA8PxeRp/fE44G6B5xMZ9QMzZg3FvgNuEAqF6NC+F7ZtPonKxtUlkDUhhBBCCCEli0TumR86dCh69eqFCxcuSGL2hMiUqtX18fTJa5QtWwETxs3Bug0LuE6p0FradcLsmSuhoKCA18HPMXfBOMTEFP5xGkKhEPsPbsaTp/6YP3cdjCtVxbbNJ7Bl23J4nz8uxswJIYQQQggpWSRyZT46OrrEPxeQkPySkxNgo9tiAEDnjvawbmjLcUaFM3DAOCyYux4KCgq4efsKpjkMKlJD/ndPn/lj1NiuuO/vB0VFJcyYtgTO812hqqImlvkTQgghhBBS0kikMb9o0SIsXrwYysp0/yshAPDi5WOc8NwHAJg5Yxk01LU4zacg5OTk4ThzOUYNnw4AOH5iDxYvnYqfP8X7yL24uBjMnT8W23asQkZGOlrYdsDO7V6oWaO2WJdDCCGEEEJISSCRxvyUKVPQoUMHhIeH49mzZ3j8+HGOIKQ02u2+Hp8+h0BX1wBTJy/kOp18UVPTwKrlu9GhXS9kZmZg/UZnbN+5WmLP5mSMweOkO6ZMH4Bv376iXNmKcHM9ij69h4vtsSSEEEIIIYSUBBK5Z97Ly0sSsyVEpqWl/cSKVbOxZdMxtLTrhNt3fODrd5HrtP6obJkKWOGyE5WMTJCUlIjFy6bh4aNbxbLsV6+fYfT47pg5YxlaNG+PCWPnwLKuNVaumYO4uJhiyYEQQgghhBBpx/lz9KQpZOX5g7KSZ2mPvOo0fOgU5usTzLw87zMdHX3Oc8wrzEzrslMed5mvTzA7fvgGq1K5Bme5dOncj10+/4z5+gQzj6M3mUWdhsVSJwrpC6qTbATVSTaC6iQbQXWSjaA6yUbIUp04fc7871RVVaGurp4jCCnNDh7ehjdvX0JTQxuzZizjOp1cWjTvgA1rD0BbWxdv3rzAhCn2eP8hmLN8vM8dw/hJffDpcwj09QyxbvU+DBk0EXy+xH++CCGEEEIIkVoSORo2NjbGuXPnkJiYiLi4OMTExCAmJgaxsbGIiYmRxCIJkRkZGelYsXo20tLSYN2oBTp26M11SiL9+46G8wJXKCgo4s7da5jqMAhRUT+4TgvvPwRj3MReuHjZEwKBAMOHTsHaVfugq2vAdWqEEEIIIYRwQiL3zB86dAg8Hg8jRoxAeHg4GGOSWAwhMuvjx7dw3+eKcWMcMXHcXAQE3sf37185y0cgkMP0qYvQqUMfAMAJz33YvnOVxAa6K4zU1BSsXpu1raZPWYR6dRth9/YzWLF6Nvwf3uQ6PUIIIYQQQoqVRBrzFhYWsLKywps3byQxewLA0soEDAlcp0GK4ITnXjRp3BJ1atfH7JnLMWPWUE5OfKmqqmPxwk2wsmyCzMxMbN7mAq8zh4s9j/y6eu0sXr9+hgXz1qN6tVpYtXwXjp/Yg93uG5CRkc51eoQQQgghhBQLiXSzf/jwISpWrCiJWRMAcnICXLq0EMBtlC+vw3U6pJCEQiFWrZmDlJQk1LVohJ7dhxR7DoaG5bHZ9SisLJsgJSUJ8xeOl+qGfLavoR8xaWpfnDp9AADQt89IbFp/GGXLVOA4M0IIIYQQQoqHRBrzo0aNwuzZszFkyBBYWlqidu3aOYIUTUZGJh4+fAcgE0uWDuA6HVIEYd++YNvO1QCA0SNnoGLFKsW27Jo1amOrmweMjashIjIck6cPwH1/v2JbflGlp6fDbasL5jtPQEJCHExNLbBzuxdsm7fnOjVCCCGEEEIkTiKNeX19fZiYmGDv3r14+PAhnjx5gsDAQNF/SdE5zcm6Itm7dxPY2JhxnA0pCu9zx+D/8BYUFZXg5LgKfL5A4stsbtMWrusOQUdbD2/fBWHC5D4ICXkt8eVKwp271zB6XHe8eBkANVV1LFqwEdOnLoaCgiLXqRFCCCGEFErTJq2wc9tpmJnW5ToVIsUk0ph3d3dHYGAgGjdujCpVqqBy5co5/kuK7tmzTwCMAACuG8fQY7pk3Jp1c7OuLtesg4H9x0p0WX37jITzgo1QVFTCvfu+mDpjECIjwyW6TEkL/xGGaQ6DcfjodgiFQnTt3A9b3U7AyIh+bwghhBAiW/h8PsaPnYNqVc2wcP4GqKlpcJ0SkVISaQFWqlQJs2fPhr+/Pz59+oTPnz/nCElxdnYGYyxHvHr1SmLL414NxMYmwdLSBCNGtOY6GVIEkVE/sGnzUgDAkEETUK2q+HtbCARymDF1McaNcQSfz8cpr4OY7zwRKSlJYl8WFzIzM7DbfQMcnUYiOiYSJlVqYPtmT7Rv15Pr1AghhBBC8q1RQ1uUL5d10c7QoBymT1nEbUJEakmkMX/9+nVYWFhIYtb/9OLFC5QpU0YUNjY2nORRHHhQxMqVngAAl+VDoKmpynFGpCiuXveG381LkJOTh5PjKsjLK4ht3qoqalixbDu6dO4HoVAIty3L4LZlGYTCTLEtQ1o8DriLUWO74dHjO1BWVsHsmSswd/YaKCvT/kEIIYQQ6derR9agyPf9/ZCZmYGWdp3QpnU3jrMi0kgijXlvb29s2LABzs7O6NmzJ7p06ZIjJCkjIwPh4eGiiIqKkujyuLZrpw+Cgj5DX18Tzs79uU6HFNGGTYsQHROJypWrY8TQqWKZp4F+WWxyPYIG9ZshJSUZCxZNxCmvg2KZt7SKiYmEo9NI7HZfj8zMDLRp3RU7tnqiqokp16kRQgghhPyRcaWqoscFu25chP0HtwAApk5aiDL01B7yHxJ5zvz27dsBAAsXLsz1HmMMcnISWSwAoFq1aggNDUVqairu3bsHJycnfPnypcDzUVdXl0B24pOdn7KyCubNPYzTXk6YOKkTDh++hTdvwjjOjmTLrlN+v09CYQa2bl+O+U7rYd9nBAKf3sOr108LvXyTKjWxYJ4rdLT1EBUdgWXLpyPk/Wup/36Ly9lzR/D23UvMnO6CihUqY6ubB9z3b8T5C8dzTFfQOhFuUJ1kA9VJNlCdZAPVSTaIs0597UcCAO7730BySgLOnjsC60a2MDOtiwVz12HugrElsmdlcZCl/Sm/OfIAMMmmUnzat28PNTU1BAcHo2zZsnB2dkb58uVhbm6OxMTEfM1DXV0d8fHxEs5U/BgeAggHoA+gIXjgcZwRKYrXL7/j+7d4KCnLo36jSpCTK3gnmsgfiQh68Q1CIYOqmgJq1y0PJSV5CWQr/dLTM/H65XdERWaND6Crr4qaZmUgLy/5JwcQQgghhORHenom7t16D6GQoa5VBWhpqwAAUlLS8ej+J2RmCmFcRRfGVXQ5zpQUFw0NDSQkJPzx/RLVmP8vTU1NfPr0CTNmzIC7u3u+PpPdmC9fvvxfNxzX1NXVERoaKsqzShVD3H+wGoqK8uhrvxaXLgVwnSJB7jrll4qKKjZtOAYD/bK4eOkktu1cWaDldu3cHyOGTQefz8fjgDtYvW5uiRnorig6d+yL4UOnQl5eARER37F2wzy8ev200HUixYvqJBuoTrKB6iQbqE6yQVx16tl9CIYNmYL3H4IxzWFgjvda2HbEjKlLkJmZAUenkXj77mVR0y51ZGl/ys71X415IKsxX+To27dvvqetUKECa9KkiViW+6/w9/dny5cvz/f06urqjDHG1NXViyW/wkZeea5YMZQJmTd783YHU1CQ4zxHiqJ9nyzrWTNfn2Dm6xPMGtS3yddn+HwBmzJpgehz06YsYny+gPPtIE1RraoZO7jvMvP1CWZXL71kA/uPZRoaGjKx35f2kJXf59IeVCfZCKqTbATVSTZCHHXi8wXs6KHrzNcnmLVv1zPPaRbMXc98fYLZwX2XmZKSCufrLWshS/tTfnMV2wB448ePR1BQEGbNmoWaNWvmel9DQwMdOnTA4cOHERAQAF1dyXcPUVVVhYmJCb59+ybxZUkDFxcPhIVFoWrVcpg6tSvX6ZAiCgi8LxqobpbD8n8+Y1RZWRUuS7aiR7dBEAqF2Lp9BVw3LaL7qv7j7bsgjBnfE1eveUMgkMOoETOweOFm/PyZwXVqhBBCCCmlmjZpiTKG5REbG41r18/lOc2GTYsQ/iMMFcobY9KEucWbIJFKYmvMt2jRArNnz0abNm3w4sULxMXF4c2bN3j27Bm+fPmCqKgouLu74/PnzzA3N4e3t7e4Fi2yZs0aNG/eHJUqVULjxo1x+vRpZGZm4ujRo2JfljRKTEyB05z9AID5C/qiTBltjjMiRbVz91p8+foB+nqGmDJxwR+n09MzxKYNh2HdqAVSU1PgvGQyTnjuK75EZUxKShJcVs7EqrVOSElJRl2LRnj84BOqVKnBdWqEEEIIKYWyH0fnff440tPT8pwmMTEeK1bNhlAoRKcOfWDTtHVxpkiklNi7Bejq6rJu3bqxKVOmsNmzZ7ORI0cyS0tLxuPxJNod4ejRoyw0NJSlpqayL1++sKNHj7IqVaqUyO4Xf8qTx+Oxe/fXMiHzZu57p3GeZ2kPcXyfTE0t2NVLQczXJ5g1t2mb6/2qJqbM4+hN5usTzDyP32Y1qtfmfL1lKYyMqrB9ey4wX59gduFsIGtQvxnnOVHkHbLy+1zag+okG0F1ko2gOslGFLVOJiY1ma9PMPO5+ILp6Rr8c/rRIx2Yr08w8/K8z3TzMT2FeOokpblyn6w0hawU+W95NmxYnQmZNxMyb9awYXXOcy3NIa7v06gR07N+tE/eZ9pauqLXrRu1YBfOBjBfn2DmvtObGRqU43ydZTEMDcuwwMdfRPfRd2jXi/OcKHKHrPw+l/agOslGUJ1kI6hOshFFrZOjw3Lm6xPM5s9dl6/p5eTk2Y4tnszXJ5itXrlH4hdMS0rI0v5U7PfME+nh7/8G+/ZdAwC4bhwNHo8eUyfr9h/cjJCQ19DU1IbD9KUAgB7dBmHZ4q1QVlbFw8e3MXlaf4T/COM4U9mUnJyEOnXLw/fGBQgEcnCcuRxDB0/iOi1CCCGElHCamtpo1bIzAODU6YP5+kxGRjqWrZyF1NQUNLCyQc/uQySZIpFi1JgvoeY67UdCQjKsrWti0KAWXKdDiig9PR3LVzkiPT0NTZu0wvo1BzBl0gIIBAKcO38cTvPGIik5kes0ZRqfz8OGTQtx6Mg2AMCwIZPh6LAcAoEcx5kRQgghpKTq3KkvFBQU8er1MwS9epLvz3358h7bdqwCAIwZNRNVKtO4P6URNeZLqO/fY+CyzAMAsHLVMKipKXOcESmq9x+Cse+AGwCgXt1GAIDtO1djnetCZGbSSOzismevK9ZtWIDMzEx0aN8LK5Zth7KyKtdpEUIIIaSEEQjk0K3LAAAQPcGoIM6eO4q7965DQUEB85zWQF5eQdwpEilHjfkSzNX1DN6+DUPZsjqYN8+e63SIGBzz2IOHj24hKSkRzkum4PiJPVynVCKdu+CB+QvHIyUlGQ3qN8PG9Yegq2vAdVqEEEIIKUGaN2sLfT1DREX9wA2/i4Wax5r18xAdE4kqlWtgzKiZYs6QSDtqzJdgaWkZcJixGwAwbXo3mJiU5TgjUlRCYSZmzx2NHn2scfPWZa7TKdHu+/th2szBiI6JRLWqZti88RiMK1XlOi1CCCGElBA9uw8GAJw9dwwZGemFmkdsbDRWr3UCAPTuORT1rZqKLT8i/STSmOfz+RgxYgQOHz4MHx8fXLt2LUeQ4nPu3ENcuvQYioryWLtuBNfpEDFgjCE9vXA/+KRg3rx5gUlT+uLzlw8oY1gebq5HYVGnIddpEUIIIUTG1aheG+a1LJGengbvc8eKNK8H/jdx+swhAMCcWSuhoaEtjhSJDJBIY37jxo3YuHEjBAIBXrx4gadPn+YIUrxmTN+N9PQMdOtmjTZt6nGdDiEy5dv3r5g8tR9evAyAmpoGVq/YA7sWHblOixBCCCEyrGePrKvyvjcuICY2qsjz275zNT5+egddXQPM/PXkI1I6iP25eBEREaxDhw6cP5+vMCErzx8saJ7r149iQubNXrzcwuTkBJznX1pCVr5PpT3yUycFBUW2aMFG5usTzHx9glnfPiM5z7u0Be1PshFUJ9kIqpNsBNVJNqKgddLR0WdXLjxnvj7BrHp1c7HlYWJSUzTfjh16c75dpC1kaX/i9DnzaWlpePfunSRmTQpp8eKj+PEjFmZmRpg4sRPX6RAic9LSfmKJy3Sc8NwHABg3xhFTJi0An09DjxBCCCEk/7p06gt5eQW8eBmAN29eiG2+ISGvsWevKwBg0vh5qFDeWGzzJtJJIkeh69atw9SpUyUxa1JIcXFJmD8v65EXzov6Q09Pg+OMCJE9QqEQW7evwJZtyyEUCtGj2yAsXugGRUUlrlMjhBBCiAyQl5dH1879AACnTh8Q+/w9TrojIPA+lJVVMHfOGggEcmJfBpEeEmnM29jYYODAgQgJCcHZs2fh6emZIwg33N2vIiAgBFpaali2bDDX6RAis06e2o8lLtORlvYTNk1bY/2a/dDUpMFmCCGEEPJ3LWw7QkdHHxER33Hzto/Y588Yw8o1sxEfHwvTmnUwdPAksS+DSA+JNOZjY2Nx+vRp+Pn5ITIyEnFxcTmCcEMoFGLa1J0AgFGj26Ju3SocZ0SI7PK7eQkOjsMRHx8LM9O62LzxGMqVM+I6LUIIIYRIsV49hgAAzngfQWZmhkSWERHxHes3OgMABvQbA/NaVhJZDpEOnN/gL00hKwMjFCXPw0dmMiHzZn43V3K+HiU9ZOX7VNqjKHWqWLEKO3LgGvP1CWanT9xjpjXrcL4+JTVof5KNoDrJRpTWOlWsWIV16zKAzZ29hrW068R5PlSnkhH5rVMts3rM1yeYXT7/jGloaEs8r9mzVjBfn2B29OA1pqqixvl24jpkaX/idAC8bHp6emjatCmaNm0KPT09SS6KFMBsx31ITv6JZs1qwd7ehut0CJFpX768x8SpffHmzQtoaelg/ZoDaNK4JddpEUL+oZlNG5zxfIAxo2bSQJYlmJ6eIdq16Q4nx1XwOOKHA+4XMW2KM9q07ooFc9ejY/veXKdISpGe3bNuc716zRvx8TESX57blmUI+/YFZcpUwJTJCyW+PFL8JPLXS0VFBXv27MG3b99w8+ZN3Lx5E2FhYdi9ezeUlZUlsUhSAF+/RmLlihMAgNVrRkBZWZHjjAiRbTExkZjqMBj3/f2gpKSMJc6b0a3LAK7TIoT8gZycPCaMc4KGhhb69x0NlyXboKqixnVaRAzU1TXR3KYtpk12xn73Szhx9CbmOK5C2zbdoa9fBmlpaQgIvI/bd64CABymL0W7Nt25TZqUCnp6hrBt3g4AcMpL/APf5SU5OQnLV85CZmYm2rbuhpZ29ESrkkYijfn169fD1tYWXbp0gZaWFrS0tNCtWzfY2tpi3bp1klgkKaC1a0/j48dwGBnpY/bsXlynQ4jMS01NxrwF43HuggcEAgGmTXHG6JEO4PF4XKdGCPmPtq27oYxhecTHx+Lnz1RYN2qBzZuO07gXMkhJSRkN6jfD2NGO2LHFE14n72Oxsxu6dR0Ao4qVkZmZiVevn+Hw0R1wcByGLj3qw8FxKBYsmgivs4fB5/PhOHMFWtl15npVSAnXrUt/CARyePL0AULeBxfbcl8GBeLQkW0AgOlTFsHQoFyxLZsUD7H38Y+IiGC2tra5Xm/RogX78eMH5/cg/C1k5V4KceTZq1cTJmTeLCn5JDMy0ud8nUpiyMr3qbSHuOs0aMB45usTzHx9gtl8p7VMXl6e83UsCUH7k2yEtNeJzxewQ/t9mK9PMOvTaxirXq0W8zjix3x9gtkZzwfMsp415zlSnf4cAoEcM69lxYYMmshc1x1iVy48F/3eZsfeXefY5AnzWNMmrZiq6p/Xj8fjMYdpS5ivTzC7eimItWjegfP1Kyl1Km3xrzopKCgyr5P3ma9PMLNp2rrY8+PzBWzzxmPM1yeYua47yPh8PufbrLhDSUmFOTq4sEcPPrFy5Spwns+/Ir/7vkQePKiiooLw8PBcr//48QMqKiqSWCQpBE/Pu/D1fQY7uzpYvWYE+vVdxXVKhJQIh45sQ0TEN8ycsQytWnaBjo4BFiyaiKSkBK5TI6TUa9WyM8qXM0JsbDS8zx9HamoKxk3qjaWLNsPMtC5Wr9iDzduWw+vMYa5TJQB4PB6qVKkBy3qNYVmvMSxq14eysmqOab6HhyIw8D4CAu8h4Ml9REdH5GvejDGs3+gMgUAOHdr3wvy5a5EpzMAtCTwujJRurew6Q1NTG9+/f8Xde9eLfflCYSaWr5yFXdvPwKJOQ/TtMxJHj+8q9jy4UtXEFAvmbYBRxcpITEgtcbdVif1MwtWrV9nx48eZoqLib2dDlNjx48eZj48P52c6/haycgZUXHnWrm3M0jO8mJB5M1tbc87Xq6SFrHyfSntIqk5Wlk3YOa/HzNcnmLnv9GYG+mU5X1dZDtqfZCOkuU58Pp/t33OR+foEs/59R+d4T15egTk5rhJd3Z0xdTGTkyu5vWqkuU7ly1diXTr3Y87zXdnpE/dyXXk/feIeWzhvA+vSqS8rV85ILN+L7Nr7XHzBmjRuyfk2kIU6UeS/Tru3n2G+PsHMvvcITvNs366n6HtevVotzrdbcUSvHkPY5fNZPXg8jvqxmOgkmdifOL0yP3XqVFy+fBlfv37F06dPAQAWFhZITU1Fu3btJLFIUkjPn3/Ezh2XMX5CR7huHIP6VtOQmSnkOi1CSoTHAXcxdcYArHDZhcqVq2PzpuNwmj8GISGvuU6NkFLJtnl7GBlVQVx8DLzOHsnxXnp6Glasno33H95gzKiZ6NK5H4yMqsB5yRTExcVwlHHpoKOj/+vKuzUs6zXOdU9vcnISnj1/mHXlPfAe3n94A8aY2JYvFAqxaq0TBHJyaGXXGYsWbMSCRRPxwP+m2JZBSi+LOg1gYlITKSnJuHDpJKe5XLp8CtYNbWHbvD3mzVmLMRN64OfPVE5zkhRNTW3MnrkCja3tAAC3bvtg284VCAv7ynFm4iWRxvzLly9RrVo1DBw4EDVr1gQAHD16FIcPH0Zqasn8wsiyBQsOoW+/ZrCwqIzRo9th+/aLXKdESIkR8j4YE6fYY9WvBv3GdYfhvGQyHgfc5To1QkoVHo+HwQPGAwA8Tx1ASkpSntMdP7EHHz+9xfy562FRpyG2uZ3EvIXj8eHjm+JMt0RTVVVHXYuGoq7zxpWq5ng/PT0NL4MCEfjkAQIC7+HV62fIzMyQaE5CoRDLVzpCIJBDi+btscR5M+YtHI9Hj+9IdLmk5OvZYwgAwOfaWSQmxnOcDbDe1RlmZvVgZFQF48fOgeumRVynJHZ1LRphntNa6OkaIC3tJ7ZuX4kz3kegrq7OdWoSwXk3AmkKWenOJO48J07sxITMm0VEHmba2mqcr19JCVn5PpX2KI46qaqqs/VrDoi6t7Vr053z9Za1oP1J+oPP57Ojx2YzIbvNqlatyHk+v0czmzbM1yeYeXs9+uugaNlRyciEHdp3hfn6BLPzZwJY08atOF8HcUZx7k8KCorMyrIJGz3SgW3bfJJdvRSUo9v8tcuv2PYtnmzMqJmsvlVTpqioxNl2EQjk2BLnzczXJ5hdOveU8wER6XdPNuJPdTI0LC/6vlcyMuE8z+ywrNdYtP9J020lRQ0+X8BGDJvGrl1+lTUY5u7zrErlGv+skzRGfnPl/fpHkXXp0gUXL15ERkYGunTp8tdpvb29xbFIiVBXV0d8fDw0NDSQkCC9g1WJO0+BgI+AwI2oXdsYbpu8MXXqTjFkSWTl+1TaFVed5OXl4eiwAq1bZf1Guu/biIOHt0pseSUN7U/Sb9q0bli/YRQA4PHjEDSzcURqahrHWWXZsfUUqlerhQOHtmLv/o35+oyGuhacF7jCsl5jAMDuvRtw+Mh2SaZZbCS5P/H5AtSsUVt05b2WWT0oKCjkmObT5xAEPskatO7JU38kJMSJNYeikJOTx+KFm9CkcUukpqZgzrzRePrsISe50O+ebPhTncaOmoV+fUfh0eM7mDVnBIcZ5jZujCP69hmJ2NhojBjTBTExkVynVCSGBuUwf+46mNeyBACcu+CBLduWIzU1RTSNLO1PBclVLGcPMjMzmb6+vujff4qMjAzOz3T8LWTljI0k8mzZsg4TMm+Wlu7FatUq+oAyFLLzfSrtUZx14vF4bNSIGaIz4g7TlzKBQI7zbSALQfuTdIeJSVmWmHSSCZk3E7LzTMi82bHjsxmPx+M8N+tGLURX2DXUtQr0WYFAjk2eOP//j5ucu44pKChKJM/iDEnsT9aNWjCXJdtEA3/+HscP32CzZ61gbVp3Y3q6Bpyv/79CXl6erXTZxXx9gtmFswHMvJZViakTRfHUSUlJmZ095c98fYKZdaMWnOf435CXl2e7tnsxX59gttJlF+f5FCWa27QVbWtvr0fMzjbvx0wOHtyaCdlrpqenw3nO/4oC7PvcJytNISs/mpLK86SnExMyb3bFZynn61gSQla+T6U9uKhT1879RV3vVrrsYkpKKpxvB2kP2p+kN3g8HvO9sYIJmTfz9V3BhCyCpf48zYTMmy1ePJDz/LZu8mC+PsFszKiZhZ5Hl059mc/FF8zXJ5ht3+IpEw3Sv4U49ycjoyps1fLdORrvXp73mfOCjaxL536sQnljzte3MKGgoMjWrHQXnQgyNbWQ6TpRFG+dunTqy3x9gtmhfVek4qRmXmFcqSq7dO4p8/UJZt27cf9bXdBQVFRiM6YuFv3ubN54jJUpk/sZ8jo66uy4x+xfJ5u9WePG0j+SP6eN+cGDBzMFBYVcr8vLy7PBgwdzvnHEtOFKZJ7GxoYsOcWTCZk3696d2/vESkLIyveptAdXdWrSuCW76P2E+foEsx1bPJm2th7n20Kag/Yn6Y3scVfiEzyYuXkVxhhj48Z1Fh04DRhgy1luDerbMF+fYHbR+wnT0ira1RiLOg2Y18n7zNcnmJ08douZ1qzD+bYvbIhjf1JT02ATx89lVy+9ZL4+wezy+eds7GhHVtXEVGobLwUNRUUltm71ftEVvxrVa8tcnSi4qdPeXeeYr08w69VjCOf5/S16dBskGiNCmu7r/1cYG1dj7ju9ReNujBoxPc+eju3aWbKvofuYkHmzn2mnmZC9lYn9idPGfEZGhqjL/e+ho6ND3exlIM+lSwcxIfNm70J2MUXFkvuMXVmvE0XJqJNpzTrslMdd5usTzI4cuMYqVqzC+faQ1qD9STrD2NiQxSd4MCHzZhMndspRp5UrhzIh82YpqadY48Y1Oclv04YjzNcnmE0YO0cs8ytTpgLbs/Psr8brM9a6VVfOa1CYKMr+xOfzWZfO/UQnNnx9gtkS582sXFnpGvRQXKGkpMxc1x1ivj7B7Owpf1atqplM1Imi+OK/dcoeYO78mQCmqiL9A0tn31Kya7sXk5eX/mP/Lp37iXoUnDx2i1nWa5xrGhUVRbZ58zjRSeWXQVtZs2Z1ZGZ/4rQxn5mZyfT0cl9hqlOnDouKiuJ844hpw5XYPFVUFNnnL3uZkHkzJ6c+nK+rLIesfJ9Ke3Bdp3JlK7KD+y4zX59gdsbzAattzs29mdIeXNeJIu/wubosq3v9jRWMx+PlqBOPx2Oep+YyIfNm38MPskqVirdrel2LRqJGt45O7osMhQ1lZVW2bPFWUUN2zKiZjM/nc16LgkRh96e6Fo3Y7u1nROvuvtM7zwPpkhbKyqrMzfWo6BYCkyo1imW59LsnG/HfOrks2cZ8fYLZ5AnzOM8tP6GtrcdOn7jHfH2C2bgxjpzn86dQU9NgixZsFP3+rHDZmWePq4YNq7PXwdtFDXlX19FMSUlBpvYnThrzAQEB7PHjxywjI4M9ffqUPX78WBRPnjxhcXFx7Pjx45xvHDFtuBKd54ABtqIuk+XKSf8gEdIasvJ9Ku0hDXXS1NRmmzceEzU8bJu353y7SFtIQ50ocsaYMe2ZkHmzxKSTzMSkbJ51UlFRZI8euzIh82bPnm9m6urKxZZfdvfoKZMWiH3ePB6PjRw+TXRQuXzpdqaiosp5TfIbBd2fypSpkOMg+oznA9a96wDG5ws4X5fiChUVVdH4C6dP3GPGxtWkrk4U3MTvdSpXzkj0aDRZGi+iSeOWov2b60cy5hXmtSzZ0UPXma9PMLty4Tnr02tYrtt55OQEzNm5P0tL92JC5s0+f9nLWrX6/1gXsrQ/5TdXPsTIy8sLZ86cAY/Hw+XLl3HmzBlRHDt2DGPHjsWgQYPEuUgiIUeO+OHOnSCoqSlj5aphXKdDSIkXFxcDB8dhuHXbBwoKili0YCN69xzKdVqFwuPxoKamwXUaRMIqVtTH6jXDAQDz5x1ESMi3PKdLTv6Jbl2XIiwsCubmlXD0mCMEArEefuTJvJYlLOtZIz09DUeP7xL7/Blj2LPXFUuXz8DPn6lobG2HLRuPo1zZimJfFpeUlFQwYtg07N9zAbbN2yMzMwOnvA5i8LB28Dp7BEJhJtcpFpvk5CTMchqJ4DcvoKWlg3Wr98HIqArXaREp06PbIPD5fNx/cANfQz9ynU6+3b13HWfPHQMAzJm1CurqmhxnlIXP52PQgPFwXXcQZQzL42voR0ya1h8nPPeBMSaarnr18rhzdw2cFw2AnJwAR474oU7tSbh27SmH2RcPsZ9JGDJkCFNUlM3HtsjKGZviyNPS0oRlZJ75NeojN/c6ynrIyveptIc01YnP5+d4DNbE8XOlqvuuiooqq1ixCrOsZ83atO7G+vUdzSZPmMcWLdjI3FyPsqOHrrMrF54zX59gtmXT8QI/BkxW6kQBdvHSYiZk3uz2ndU5vqN/qpOVVVXRo+s2bBgl8fyyR1d3mLZE4suqUb028zh6U9QFu15d6buq9d/41/7E4/FY61ZdRevl6xPM1q7aWyxXo6U91NU12c5tp0X360ry6iv97slGZNfJQN9Q9GjGBvVtOM+roKGkpMz2u19ivj7BzHnBRs7z0dM1YOvXHBD9BjnNXs2UlXP3gJo4sZPo70tU9FHWt2+zv9ZJFvan/ObK+/UP8ou6ujri4+OhoaGBhIQErtP5o+LKc9euyRg5qi0ePnwL60YOOc6AkX+Tle9TaSeNdbLvPQLjx84GANy8dRkuK2chLe2nxJYnL68AXV0D6OkaQk/XIOvfev//t66uAfT1DKCsrFqg+b59FwQHx2FISIgrco6SqJOSkgIMDbXw6dMPscyvtBg+vDX2uE9Famoa6tWdiuDgr6L3/lanXr2a4MRJJwDAhPFbsX37RYnkV7NGbWzbfBKZmRkYNKwdvn//+u8PFZGurgGWOm+GqakFMjMz4LbFBWe8j0h8uYX1tzrVrFEbkybMQy2zegCA0LDP2LZjJe7cvcZFqlJJQ0Mb69fsh0mVGoiI+I5pDoMQ9u2L2JcjjX+fSG7ZderfbzTGjpqFT59DMGxkR67TKpTq1Wphy6bjkJOTx8o1c3D5ymlO8mhsbYfZM1dAU1MbKSlJcN20GFeunskxTdmyOnDfOxXt2lkCAK5cCcSI4a4IC4vOc56ytD/lN1c5SSycz+dj+vTpsLe3h5GRERQUFHK8r6urK4nFEgmYN+8gevdpigYNqmHYsFbYu/cq1ykRUip4nHRHRMQ3zHFcjebN2kFHRx/zFk5AfHxMgebD5wugra3710a6np4BNDW08z3PhIQ4REX9QGTUD0RGhYv+HRX1A5GR4YiM+gE1VQ2sXb0X1aqaYc1Kdzg4DkNSknT94eTz+bh4aTGaNTPDwAFrcfz4La5Tkgnlyulg3fqRAADnhYdzNOT/xdPzLubNPQCX5UOwyW0s3r37hqtXn4g9x8EDJwAArlw9UywNeQCIivqBaTMHY+b0ZWjTuiumTXFG5crV4bZlGTIzM4olh6LS0dHH6JEz0L5tTwBASkoSDh7ehpOn9iM9PY3j7KRLfHwMZs4ehg1rDsDYuBrWrz2AaQ6Di+37RqQPYwydO9oDAE57HeI4m8J78/Yl9u7fhNEjHTBl4gI8f/5IIieq/kReXh5jRzuiV48honyWuszIdctCnz422LZ9AnR01JGS8hOzHfdhy5bzpe7Co0SuzC9evBijRo3CunXrsGzZMri4uMDY2Bjdu3fHkiVL4ObmJu5Fio2snLEpzjxnzOiOtetGIjw8BjWqj0N8fLJEl1eSyMr3qbST5jrVqV0fyxZvhbq6Jj5/+YA5c0fh26+DRQ11LejpGf66op67oa6nZwhtLV0IBIJ8Levnz1RRYzzqV0P9v4306OgIpKam5Gt+xpWqYsPag9DS0sGrV08xa84IJCUnFnpbiLtO2b9tQNZ93Y2tZ+L5849Fnq8k1Da3woRxTrhw6SS8f93TyJWz3gvRuXMD+Pu/QdMms5CZKczxfn7qtG//dAwZ0hKxsYlobD2rQCcE/qWqiSl2bfdCZmYmho7sgNDQT2Kbd3716zsao0fMAJ/PR+CTB1i0dGqBT8RJ2u91Sk39id49h2LQgPFQUcnqfXPpyinsdt+AqCjqtfI32tp6cF17EEZGVfDt21dMcxiEHxF5jx9RGNL89ymblVVVjBzZBq3b1MWzZx9x5LAfzp9/iJ8/07lOrdioq6vjw/swPH8ShsTEePTpb4vU1KIdL2trq6F69fIICAhBenrxnhDk8/lYv2Y/LOo0xMugQEyZPrBYxseoWKEyFsxbj2pVzQAAJ07uxS73dUhP//93SVNTFW6bx2LQIDsAwKNHbzF40Pp8/R2Rhf0pW35zlUhj/t27d5gyZQouXLiA+Ph41K1bF+/fv8fkyZNhbW2NgQMHinuRYiMrRS7OPOXl5fD0mRtq1qyAtWtOwdFxr0SXV5LIyveptJP2OlUyMsHK5btQxrA8EhLikJiYAF1dg1y9nv4kMzMDUVEReV5Nj4z8/78TE+PFnnuVyjWwfs1+aGpq42VQIBydRiI5OalQ8xJnnWrUqICAQFcoKyvi48dwGBsbIiTkGxo2mIGYmMKfcJCEhg2aY4mzGxQVlZCRkY6xE3rh/YdgTnIZNMgOBw7OwM+f6bCynIagoM+5pslPnRQU5HD1mgtsbMzw7l0YGlvPQlSUeL5/ixduQvNm7XD1mjdcVs4UyzwLo7G1HeY7rYOKiirCvn3BvAXj8PHTO87y+S91dXXExcWhbZuuGDZkKsqXMwIAvAwKxOatLngd/JzjDGWHrq4BXNcdRIXyxggN+4xpDoMQGRkulnlL698nHR11DBzYAiNGtoGFReVc78fFJeHUqXs4esQP168/g1AozGMuJYe6ujpu+QUhJioZHifdsW3HqkLNR1NTFd26NYJ932Zo06Yu5OXl8PVrJNw2eWPnzsuIiyvc38/CMDQoh907zkBNTQP7Drhh/8HNEl1eu7Y9MHXSAigrqyI2Nhor18zGA/+bOaZp2bIO9u6bhooV9ZGRkYnlLh5Ytuw4MjLyd6JBWvenvBQkV7HfsJ+YmMgqVqzIALCwsDBWr149BoBVrlyZxcbGcj6gwN9CVgZGKO4827e3YkLmzVJ/nmLVqpXjfP1lJWTl+1TaQxbqpKtrIBpw6fc45XGX7druxVa47GQzZyxjw4ZMZl069WWNre1YtapmTFtbj/MB9ExMarIzng+Yr08w27ThCFNSUuG0Tnw+n925u4YJmTe7cHER09FRZyHvdzMh82bnLyzifHv9HrbN24sGFMweVGnrJg9OcixTRptFRh1hQubN5s61L3Kd9PQ02LuQXUzIvNkNvxVMQUGuyDkaG1djvj7B7NrlV6ySkQnn9TOuVJUd2u/DfH2C2fkzAayxtR3nOWVHrVp1WeDjL6LfEo+jN1nrVl1zPeqpINGyZR02e3ZvpqFRuH1clkNfvww7fOAq8/UJZgf2XmK6ugZima80/X3i8Xisdeu67MjRWSwl9ZToGd7JKZ7s4CEH1r27NVuxYij7+Mld9J6QebOwbwfYhg2jWIMGJXfwxJo1zUW/PWXLVChgjZXZwIEt2JmzC1jqz1M5tl18gofo33Hxx9mGDaNYpUri+W7lJ1radWK+PsHs6qUgZmZaVyLLUFFRZfOd1op+i9at3pdr/1FSUmDr148SbYvgNztYo0Y1CrwsadqfxJir+Bf++vVr1rBhQwaA3bp1i82ePZsBYPb29iw8PJzzjVMSisxFnt7nFjIh82be5xZyvv6yErLyfSrtISt1kpdXYJb1GjMz07rM0KAck5eX5zyn/Ea1qmbs7Cl/5usTzFzXHWRKSgV/1ri46jRzZg8mZN4sJvYYK19elwFgFhaVRSPhLl06iPPtBYB1aNeLXb0UxHx9gtn8ueuYoUE55u31iPn6BLOe3QcXez6ep+YyIfNmjx67Mjm5Pz9bvCB1MjMzYjGxx5iQebM97lOLnOP8ueukZhTm7NBQ1xKNxnzt8ivWv+9ozvOZMmmB6Lt1+fwzNmLYtEKfZAPAWrWyYDdvrRIdaD/wX8+0tdU43/bFHYYG5djRg9eYr08w27fnAtPW0i3yPKXh71PFivps4cJ+7P2H3Tkamo8DXNnEiZ2YllbO0cV5PB6zsTFjW7eOZxGRh3N8JvjNDrZo0QBWo0bBGrzSHjNnLGW+PsFsxbId+ZpeTU2Z9evXnJ06PY8lp3jm2EbPnm9mCxb0YzVqVGAKCnJs6NBW7OkzN9H76Rle7Njx2axhw+rFsm5zZ69hvj7B7NB+nzxHki9K1KheW3TC8+qll2xg/7G5TlbXrVuFPX+xRbT+W7eOZyoqhXtqmjTsTxLIVfwLX7FiBXNycmJAVgM+LS2NvXnzhqWmprIVK1ZwvnFKQpG5yLNatXKiM4YdOlhxvg1kIWTl+1Tag+pUPFGjem1RY3Td6v1MUVGp2OtUs2YF0YHTsGGtcrw3YICt6GChWzduHy3Wq8dQ0VUKh2lLRAc3XTr3Y74+wezC2QBmoF+22PLp27cZEzJv9jPtNKtTx1isdWrXzpKlZ3gxIfNms2b1LHSOFStWYdcuv2K+PsHMpErBr9hIMgQCOTZtsrOopvPmrGUKCsX7CF8+X8C6dxso6iXj6xPMnj8NZVVNCr+t/tuIT07xZNExR0UNPT09Dc63fXFH2TIV2PHDN5ivTzDbu+sc09TULtL8uPr7pKAgx3r3bsouXlosekyxkHmz6JijbPPmcaxevfz1fJGXl2OdOjVghw7PZAmJJ3I0Wh8+2sBmzOjOypXT4bxuRQlVVXV24Wwg8/UJZk0b/7n3jYqKIuvTx4adOOnEkpJP5tgWQa+2sUWLBjAzM6M/fr5Nm3qiR4Jmh9/NlaxbN2uJ9tZSVVETnaRynLlcLPPk8Xisb5+RzOfiC+brE8yOHrzGapnVyzGNQMBnTk592M+000zIvFlo2P4itz9k6XiP08b8f8Pa2ppNnz6dde7cmfMNU1KKzFWeq1cPZ0LmzV693sbk5YveJbKkh6x8n0p7UJ2KL0xNLUTdxdesdC9Qg6aodRII+Oze/bV/7WG0YUNWN77YuOOcXTkaMmiiqLE1drRjjvd4PB7buP4w8/UJZsuXbi+WfPT1NdmPiKyra87O/SVSp4kTOzEh82YZmWdY9+6FO5Hi5LiK+foEs6WLtnBSt/xE1879RQevW91OiK0r9r/Csl5j5r7TW/S92r3jLGvSuEWh96e8GvGurqNZ2bI6rFYtIxb27QATMm/2/MUWZmioxfl2L+4oV86IeRy9mbWtt59hGuqF3wbF/fepVi0jtn79KNE+nx1Xry1jAwbYMiUlhULPW1VVifXvb8u8zy1kaeleonlnZJ5hV68tYyNHts11lV8Wok+vYczXJ5j53/2Qq07KyoqsZ88m7Ogxx1wnM4Lf7GBLlw5itWsbF2h5tWsbM/e903J0yQ9+s4ONH9+RKStL5iRhbXMrUW8e2+btizQvbS1dtmr5btHvkfOCjUxVNed2q1KlDLt9Z7Vo/TxOzGG6ukU/OShLx3tS1ZiXpZCVInOVp7q6Mvv2PeuP9IwZ3TnfDtIesvJ9Ku1BdSreqGVWj50/E8B8fYLZSpddTF4+fweHRa3T7Nm9RVeW/nQlSE5OwK77LhddKVFXL/jtAEWJCWPniA5wBg0Yn+c0RkZV2OXzWffR29l2kHhOx47PZkLmzQKfbMrXSdzC1snNbSwTMm+WkHgi31f9sqNc2Yrs6qWXzNcnmFWvVqtYa1bQqGvRiHl53hfdp16jem2JLatc2Yps6aItou+U18n7rEvnfozPFxSqTq1b12W3bufdiP99uurVy7MvX/eJTv5n385SmqJihcrs5LFbzNcnmO3YeoqpqRWuIVIcf5/U1ZXZ6NHtRCc7s+Pzl71s6dJBrEqVMmJfpp6eBhs3rgPzu7kyxzJTf55ip07PY717Ny3SiYPiCj6fLxorIfRrDFNXV2eKivKsWzdrdujwzBz3vAuZN3v7bidbvnwIq1u3SpGXXbasDnNxGSway0TIvFlE5GG2ZMlAiZxEGzl8GvP1CWZnPB8wPT3DQs2jvlVT5ulxh/n6BLOL3k9Ypw59ck0zalRb0XaLiT3GBg0S31gjsnS8V+yN+S5duuQ7uN44JaHIXOY5fHhr0Q5mYKDF+baQ5pCV71NpD6pT8UdtcytRt8TlS7fn6/7/otTJzMxINGDTkCEt/zqtgYEW+/xlLxMyb+Z5am6RBgTLb/D5fDZzxjJRo+tf98RnX7339LjD1NU1JZZXz55NmJB5s7R0r3w3sAtbJ4GAL+pC+uXrvlwNxL9F9rZb4bJT4rUSR5QrW5Ht3XVOdM96Kzvx9lxUVlZlo0c6iE76XL30kk0cPzdHg7IgdcqrEb9hw6i/1qhKlTLsw8c9TMi82buQXcU6aJe0RCUjE3bK4y7z9Qlm2zafzHX1MT8hyb9PNjZmzH3vtBxXjH+mnWYnTjqxDh2sim2gTSMjfTZ7dm/25OmmHA3fuPjjbO++aaxt23pMIJCegUl/j6aNWzFfn2B29pQ/S8/4xo4cdWSxccdzrMf7D7vZqlXDmJVVVYnkoKqqxCZO7MTevtspWmZK6im2e/fkv3bbL2gIBHJs2+aTokHqCvK3UU5Ono0dNUv0N27PzrO5Bik1MNBiZ84uEK3DtesuzMhIX6zbSpaO94q9MZ+ZmZmvyMjI4HzjlIQic5knj8djD/zXMyHzZrt3T+Z8W0hzyMr3qbQH1YmbsKjTkF30fsJ8fYLZssVbmZzc3xv0RWkkZv9mnTm7IF+fadCgmqjx/7eR28URcnLybOG8DaIRg9u17fHPz8jLy7O9u88zX59gNmuGi0Ty0tXVEPXEKsiggEXZnzQ1VdmLl1kDHfk/XJ+vLqOGBuVEXdclNdqyJEJFRZUtW7JNdHA7asT0Ip844vF4rF3bHqIrwr4+wWz1it15juyfnzr9txGflHzyn43438PISJ+9ebuDCZk3+/jJnZmYFN84D9ISxsbVmNfJrJ4YWzYdZyoqBetGLu6/T4aGWszRsRd79Xpbjgbny6CtzMGhB+cXaczNKzEXl8G5Btv79v0A27hxTKFGMJdUyMvLsX17PJmvTzB78fxmjnw/fXZna9eOKLZB6oCsk8I9ezbJ0T1dyLKe0tKyZR2xLKNCeWPRiXj73iPy9ZmyZSqwrZs8RL9J0yY757rFrls3axb+45DoRMT06d0kciJdlo73qJt9CS8y13laW9cQ3eckqTONJSG4rhMF1Unaw7KeNbt07inz9Qlmi53dmEDw527cha2Tk1MfJmTeLCr6aIGu9o4c2Vb0O9e+vWQG/VRUVGIrXHYyX59gduXCc9bcpm2+P2tey1J0cFTXopHYczt4yEE0snJBHhtX1P2pcmVD0f26Hifm/POALntgubWr9kqkRpIMPp/PRo2YIarjsiXbCj1atJlpXbbV7YRoXgf3XWbWjVoUqk5t2tTL0SDIbsSXKVPwwdzKldNhQa+yGo5fQ/eVuFHM8xNFeTynOP4+CQR81rlzA3bq9Lwc96rHJ3iw3bsns8aNa3K+jfKKJk1M2ebN40SNvOx4F7KLLV06iJmaViz2nOTkBKxNm3ps9+7J7OvXU1n729XXLDnlIhOyK2zzlgmsceOaxdKj629hbV2DeZyYk2PwwoDAjWzQILsij3nVqUMf0d8sE5O/f3da2nUSjZNz9pQ/a2bTJsf76urKbM+eKTlyNDevJLHtIkvHe1LXmNfUlFw3wNJYZGnIc/+BGUzIvNntO6s53x7SGtJQJwqqk7RHfaum7PL5Z6KBcPj8vB97Vpg6mZtXEg0SNHBgiwLntn37RNGJAHHfN6qiospc1x0U3TvYoL5NgeeR3ZA9uO+yWEdH79KlIct+BFL9+gV7NrQ49qemTc1EPSOWLfvzLQd6ugairuQWdRpI5PtZHNG6ZRfRPuC+07tAz6nW0zVgTrNXixrx57weM/veI/5560pedcqrEb9+feEa8b+HgYGW6NFa374fkOjBurRG9Wq1mPfphwV+PGdR9qeqVcuy5cuHsK+h+3I0hm/fWc1GjGjD1NSKd0yQwoacnIC1b2/F9h+Ykese9McBrmzmzB6sQgU9iS1fIOCzli3rsB07JuYYGPB1UNYJGi/Ps6xt2/pMyIRSdxxRpUoZtmnTmBy3Unz5uo/NmtWTaWoWfrDB7LE49u4+n+ffHiUlFebosFz0u7Rpw5FcT2Bp1qwWC3m/W3TSfMWKoQU6cVyYkKXjPU4b846Ojsze/v/dEj08PFhmZib7+vUrq1NHPN08pGDDlfo8y5XTEf2oDhhgy/k2kcaQhjpRUJ1kIRo1bC5qlM2fuy7PBn1B6yQnJ2APH21gQubNTnvNK1ReCgpy7M7dNUzIvNmTp5sK/Wzb/4aGhrbo3kNvr0fMvFbhrvyrqqiJRs0eNWK6WHLT0lIVHfyvXDm0wJ8X1/40eLCd6OBz8OC8B0CaNGGeqHEkye9ncUTNGrXZiV/d471O3mcWdRr+dXoFBUU2cMA4UZfXa5dfsVkzXPL9bPPf6ySpRvzvoaurwR49dhUN0lXQQQ5LQtSs8fvjOffl6/GcBd2flJUV2eDBdsz3xoocjd7wH4fY2rUjxHo1m8/nsxrVa7OBA8Yx13UH2YWzgWz40KkS3YYqKoqsb99mzOvMfNEjy7LD98YKNmZMe6atrSaWdbO1NWdbt45n38MP5ljO9/CDbPu26ezKhawTcOa1rKT+OEJbW43NmdObhYbtzzEmwYYNowo1noWGhrbodp7JE+fneM/EpCbbv+ei6Hdp+NApOf6mKyjIsZUrh4p6DYS8381sbMyKZTtIe50Kmav4F/7+/XvWuHFjBoC1bt2aRUdHszZt2rBdu3axy5cvc75xSkKRpSXP7O6rX77uY6qqBXtmdGkIaakTBdVJFqKxtR27ciGrQT939ppcgy8VtE7z5/cVNRyKMrJvuXI6okdtHT4ys8jrqadrIBr87PSJe6xa1aIdxDRtkjUAk8/FF6xK5aLfT+q+d5poNH9FxX8PTJgdfDkBK1O1CmvcswsLjo1kugZFH7jIxWWw6B7Kpk1zbidtbT3RLRqW9RoX2/dUkqGnayA6yeNz8QXr0qlvntM1t2nLjhy4Jrrq5eZ6lFWvbl6gZamrqzMhC2f3H6yXaCP+99DSUhWNmB4dc7RY7yeWljAzrSt6msfqlXv++TSP/P7uWVlVZdu2TWAxscdE9UzP8GLnzjuznj2biO1xwgb6ZVnHDr2Z83xX0VMZ/hsTxs4plm2po6POxoxpn+vERerPU8zrzHzWt2+zAp2A5fF4zMbGjLm5jRX95mfHj4jDbPv2iaxlyzpMIOCzfn1Hi55UUJA6cR0KCnJs6NBWop4y2d+TY8dnF3h/bFDfRlTzRg2bMwCsZ/fBohPzHkf8cp2UNDevxAKf/H+gw127JhdrDxFZqVMBcxX/wpOTk1mFClldxFxdXdn27VnPwq1WrRqLjo7mfOOUhCJLS56KivKi0TP/1hWytIa01ImC6iQr0bRJK9FgZnNmrczRoC9InerUMRZ1r+/fv+g9h2xszERXgaZP71bo+ZQtU0H0GCOPI37MyKjojycCwBYv3JT17PJNHkUagbp9eytRl8e/3UerXbYMM23elLUcOYQNXLWYOXgeZKsCbrJ1z++JYoW/Lxu4chEzbdaE8eXyvnXiX8Hj8diJk06iK4uVK///cUhjRzsyX59gtnnjMc6/t+IMBQVFNt9preggecqkBaKxJEyq1GDr1xwQvXf88A3W0q5TgZfRtm29XI34detGSqwR/3uoqyuLHkcWF3+82K7ISVP8/jSPFS47/3pLxN9+93R01NnkyV1yNI6y7ymfN89eLI8EVFZWZY2t7djkCfNEV1t/D2+vR2yxsxvr2rk/s+89Isf3tjjvG69QQY/NnNmDPQ5wzbEt4hM82IGDM1j79lZMLo/fIR6Pxxo3rslcXUeLHqeYHZFRR9ju3ZNZmzb1cnyWzxewY4d9ma9PsGjAUlk8jmjTpp7oCSLZ4XdzJevWzTrff0eye0d5etxhLr8N6LlsyTamofH/3xM+n88cHHqIbp/6Hn6Qde0q/rFe/hWyVKf85sr79Q+xCg0NRe/evXHv3j28fv0a8+fPx8mTJ1G9enU8fPgQmpqa4l6k2KirqyM+Ph4aGhpISEjgOp0/kqY8u3WzxmmveUhNTUMtswn48CGc03ykiTTVifwZ1Um6NLdpi4XzN0AgkMOFiyexdsN8MMbyXSc5OQEe+K9DvXomOHXqLnr3WiGWvCZN6oxNbmORkZGJtm0W4MaN5wX6vHGlqlizai/0dA0QGvoJDrOHIzw8VCy56eoaYN/u81BT04DblmU45XWwwPPQ0FDBi5dbUKGCHjas94KDwx4oa6ijbDUTlK1mgjLZ/61aBcrqannOIzUxCREfPsLcyhJxaT9FrydGx+DplesIOHcZH58WbLupqCjiht8K1K9fDUFBn9Gk8SwAijh26BqUlVUxZ95oPPC/WeD1lXYD+o3ByOHTwefzERB4D1++fkTnjvYQCAT4+TMVR4/vwvETe5CampLvebZtWw/OiwagceOav17hY/Pmc3BZdhTh4bESWY+8qKgo4szZBWjVygJJSano1nUprl9/VmzLBwCdCuXAAw8JUVFIS0kt1mUDgEWdhljpshNKSsq4c+86Fi2ZgoyM9FzT/fd3j8fjoVUrC4wY2QY9ejSGoqI8ACA1NQ2ennfhvscHN248B2OFO7zn8/moVrUW6tdvigZWTVHLrB7k5ORF72dmZuLV66d49PgOHj2+g1evn0EozBS936FdL8ycsQx8Ph/nzh/H+o3Ohc6lsExNK2LAAFv0H2CLKlXKiF6PiIjDCY/bOHLEDxkZmbC3t0HvPjYwMtIXTRMbmwgvrwc44XELV68+RXp6Rq75N2/WDosXbkJMTBT6DmyB9PQ0mT6OqF3bGNNndMeAAc2hoJBV67dvw+C64Qz27buGlJSff/ysvLwCtm85iSqVawAA0tLSsH3nKpw+c0g0jZGRPvbtn44WLWoDAM6efYAxozfjx49Yya3UH8hSnfKbq0Qa825ubujcuTPevn2LevXqwdjYGElJSejbty8cHR1hZWUl7kXmMGHCBMyaNQtlypTB06dPMXnyZDx8+DBfn5WVIktbnpevLEGbNvXEeuBcEkhbnUjeqE7Sp0XzDpg/dx0EAgG8zx3Dhk2LoKamlq86LVzYD4sWD0RkZDzMa00U6wHDvv3TMWRIS0RExKG+1XR8+RKRr89Vr26O1ct3Q1NTGx8+vMHMOSMQHZ2/z+ZXl059MWPaEqSkJGHYyE74EfEt35+VU1DAvkOzMKCPNcIikrD8zHfoVa4CTUP9PKfPTM/Aj4+f8O1tCL69CcG3tyH4/i4EMWHfoa6ujri4OJhZN0QNOxvU69AG6ro6os9GfQ1D4IUrCDh/GeHvP+Yrv3LldPDAfz3Kl9fF5csB8PSIxcD+4xD85gXGTeyV7/WUNU0at8S8OWuhoqIqes33xgXs2LUG4T/C8j2fdu0s4byoP6ytsxrxyck/sWfPVUyevAGaGgac/O4pKSnA89RcdOhghdTUNPTssRyXLj2W6DLL1aiGOm3tYNGmJQwqVxK9/jM5GQlR0UiMikF8ZBQSo6KREBWNhMjoX6//+n8xN/wt6zXG8qXboaiohJu3r2DJsunIzMzZeMz++2RmVhl9+lhj2PDWMDY2FL0fEBAC9z1XcOSIH2JjkwqVh6FBOVhZNUEDKxtY1msMDQ2tHO+Hhn3+1Xi/jcAnD5CU9PfvS5vW3TB75goIBAJcvOyJtevnQygUFiq3omrUqAYGDLCFfV8bGBpq5zlNfHwyzpzJasBfuRKItLTcDfjfbVx/GHVq18eBQ1uxd/9GACXjOKJsWR1MmtQJY8d1gI6OOgAgKioe27ZewJYt5/94wq9K5RpYv3Y/YmKisGyFA0JCXoveGzKkJTa5jYWGhgoSE1Mwfdpu7NlzpThWJ0+yVCdOG/NycnKYOnUqKlasiH379uHJkycAgGnTpiEhIQF79uwR9yJF7O3tceDAAYwbNw4PHjzAtGnT0KdPH9SoUQMREf8+cJKVIktbnmZmRnjydBPk5ARo3WpesZ9hl1bSVieSN6qTdGpl1xlOs1dDIBDA6+xhuO/b8M86WVhUhv/D9ZCXl0O/vqvg4XFbrDkpKSng9p3VsLQ0wcOHb9G82Wz8/Jn7atrv6tSuj+VLd0BVVQ2vXj/DnLmjEZ8QK9a8AIDH42HD2oOwqNMA9+77Yu6CcXlOo1O+HMpW//+V9rLVTGBlZog+VbMaAh7vNRGa/P8rcdGh33411t9nNd7fhiDiwydkZuR9wPvf/YkvEKBqQytYdmqH2q1toaT6/4Zp6Os3CDh/BYEXryAu/O9/o+vVM8HNWyuhoKCCW9crQiBQxHznCbhz91phNpdU4/H5qGhuippNGqGBbSs0MawLIYS4894fvhfPIMjvDhIio/45n7wa8du3XcCaNaeQnJzJ+e+egoIcjnvMRrdu1khLS4d9n1U4e/aBWJdRsZYp6rS1Q53WdtAzqiB6PSM9HcKMTCgoKxVoftkN/xwN/cgoJETFiP4/PirrhEB+Gv4N6ttg2eJtUFBQwA2/i1i63CHHle6uXRvD68wGCIXh4PP5ALKuHh857Ic9e3wQGBhSoPwBQFlZFXUtGqK+VVPUt7KBUcXKOd5PTEpAQOA9PHp8B48f30HYty8FXkZLu06YO3s1BAI5XL3mjRWrZ+dYr+ImEPDRqpUF+g+wRc+ejcHj8XD2rD9OeNzGpUuP//k7nq1aVTPs3HYaGRnp6DeoJaKifgAoWccRqqpKGDasFaZN7wYTk7IAgJ8/03H4kC/Wrz+DoKDPuT6joKCItN96Y+nqamD7jono1asJAODOnSAMHbIB799/L56VyIOGvh7qtW2J9a6usDOpifj4eM5yyQ9OG/Ncun//Ph4+fIjJkycDyDpw+fLlC9zc3LBq1ap/fj57w5UvX16qd0Z1dXWEhoZKVZ6rVg/BuHHtERT0BTZNnZCZyc1ZWGkijXUiuVGdpJddi06YOskZfD4fl654YsWqOahQoUKedZKXF8D3xjLUrl0JZ7weYMiQjRLJychIDzf8XKCrq46DB29g0sSdf5zWyrIp5sxaBUVFJTx/8RjLlk9HSmqyRPICgPLlK2HT+qOQl1fAxu3L8D7qIwxNKsPApDIMTYyhX9k4V+NFni/EkKqx0FAQ4ubrRGw79hThIR/xI+QDfrz/iJ/JBcv3b/uTvKIiqttYo3ZbO1SzbgCBfNZJAyYU4mPgMzz38UWQ7y2kJiTmOe/OnevDZakLPn3QRVz8NwwZ3rXYu/BKioaBPqo2soJJo/qoUr8elDXU/zp96KtgvLl9H8G37+H72/c53mvVug6cnHqhQYNqAP5/JX7TxnP48SMOgPT87snJCbB790T06GmN9PQMjB61BadPF75Bz+PxUKGWKUztbGBm1wxaZf5/FTv950+8u/cQQb638ObOA/xMToaCijLUtLWhqqMFNV0dqOloQ1VbC2o62lDT1cl6XVsbarrakFcqWMM/LTkFidHRSIyORVJ0DBJ/Rda/Y5EYHY2k6BhUNzKF4/TlkJeXx42bF+G6yRk6OmpYsXIw7O2biuZ30+8lDhy8Ae+z/khNzV/jE8jqOm9SxRT16lqjrkVD1KxhATk5OdH7mZkZePP2JQKf3MeTpw/w5u1LsTS8mzRuhZnTXSAnJ4dbd65gvesCZGZy16DPJhDwwePxkJFR8FymTFqI1i27wu/mJaxznS96XVr2J3Hi83no3Lk+Jk3uhEaNqote9/F5ArdN5+Hn9zLPz7VtVxebN4+BoaEW0tIysNzlBDZuPAehsPh/q8vWqIbqTRuhRlNrlDP9/zocmuSIdwFPij2fgsj+TnHWmK9atSrs7OxgYGAgOpOYbenSpZJYJOTl5ZGcnIzevXvjzJkzotf37dsHLS0tdO/e/Z/zyG7Mk4JjSAPgCyAdQC3wUPkfnyCEkH/7FhaH4KCssTgqGGnBpJo+eDxerukYggG8BaAAwBY8KEosJ4YIANkNDnPwYJxrmh/hCXj14hsYA3T0VFGrdlkIBPxc0xVVujATUakpiPyZjMjUZCSFpUA1RoB0vhBBenHI5Of8My/g8aCrqAw9JRXoKamgmkYYNBS+A0wZ4NmCB7k/LEm8UjLS8TY+Gq9iIxGa/P8DFQGPB2M1LZhq6aGyujbkfzuGyMjIxP3bIcjIAMxqh0Hf0Aw8GBRLvuKWLszE16R4fEyMw6fEOET/zHnvuyJfACM1TVRS04SxmhZ+CjPwPj4WIQnR+J6Sszu1urwCqqhroZYWYKAcCh4v7tc7fADGAEwkuj8UFYMQwFMA2WNI1AUPFf7yiZyEjCEsOQFv4qLxNj4KSb/dey7P56Oymhaqa+rCWE0LCgJB4XJkDOlCIZIy0pGckfbrv1mR178zWMEuaOj8VEClGFXwwIO8ThrqW3yBgiATjAGJ6WWhLFcd8vy/n+D5XWpKOqKjkxATlYyY6GRkZOTMR0lZHjo6KtDWVYGWtgrk5Qu3Xf4l8kciXj4PA2OAnr4azGqXBZ+f+/dbFqSlZeDerQ9gjMGyQUVoaCpznVKxYYgG8B7A71fWNQBUAVAOPPDBkAEgCED2lXs1APXAQ/GNlZYuzMTnxHi8T4jB+4SYHL8FAFBGWQ01NXVRT7dMnscR0uif4wRJYqGjRo3Ctm3bEBkZie/fv+c4a84Yk1hjXk9PD3JycggPzzkAW3h4OGrWrPmHT+VN2s+sSesZwBEjWmGD60jExDxAvXpNEROd99WV0kJa60RyojpJv7atu2PShPn4+jkW27dtx849a3O8X7duZVy7vgRycgIMHbIGXl69JZ7T1KmdsWTpAKSlPUGnjr3g7/9W9F6bVt0wYdxcCAQC3Lx1GRs2LSzyFSm+gA+dCuVhUMU4x9V27XJlwfutwctTAGrKaUA5Qw563xluvL2DHyEfEP7rSnv011AIf/WcatbMDOfOZ11d6tJlHm7eDCpSjkDh9idNQ32Yt7FDnbYtYVi1CkISYhCSEIPUxCS88ruN55ev40PAU/TuMRSDB05EekYM9AwSERd3A21aOyM4WDwDCUqaoUllmDSqD5OGVqhkYQ45RQXRe8LMTIQGvUaIfwDePXiEsFfBojr9l5qONqo1aYQazaxh0qAedNXSYKr1A4YqWbc+pKULcepyEJY7H8Snt3l3kZa23z0+n4eNG0dhyFA7CIUBmDplAg4cuPHn6QV8VKpbB2Z2zWDawgZqOv+/H/pnUhKCb99HkO8tvLv/CBlpacWwBjkpqChnXd3X0Ybqr//m/W8tyCspIVoxDUp6mSgTqYH0aAV8CNaDlnEkroWpITw1HempAfjwOBBv7vrj7d0HuW5LUVZSgbm51a+r79aoUL5SjveTkhLx7Lk/Ap88wJOn9/FdTINv5oeVZVM4Oa5GZASwdtUerFo7B+npxV+TorLvPRKDBoxH8JsX6Nqzfo73pG1/kpTKlQ0wfkIHDBpki6w7pp4gLOw6Dh68gd69m8DEJGvAwc2bL2DJ4uP5vn2hKNT1dFG9qTVq2DRC5fr1IK/4/xOXackpCPF/jOA79/H2rj/4GZkyU6fs79S/SOTK/MePH7F161asXr1a3LP+q7JlyyIsLAyNGzfG/fv3Ra+vWrUKtra2sLa2/uc8ZOWeF2nNk8/n43GAKywsKmPb1guYOHEb1ylxSlrrRHKiOsmGPr2GYcI4JwDA4aPbsdt9A4Cs+24fPtqA2rWNcfz4LfTvV3x/e44dnw17ext8+xYNK8tp+P49Br17DsXE8XMBAOfOH8eGTYuKPPhTlfr1MHSdS44Gy+8SoqJF97N/fxMC1XQ5zJ+yAnw+H9NnDsGTp7m7LauoKOLpMzeYmJTFju0XMX781iLlmK2o+1OZaiaw7NgW9Tq2gU65sqLXk35EoX5qBSgrKGPlGkc4zbNG8+bmeP/+O6wbOSAyUvp61alqa6F644ao0aQhqjduCE2DnAMKxnz7juA7DxB89wHePniElPiCba8OHaywaPFAUXf69EyGpzEqeByhjORMPoRCIT4/e4mXN24jyO82vr/7f3d8afzd4/F4cHMbiwkTOwEAJk3chq1bL4jeF8jJoWqj+rBoYwfzls2hqq0lei85Ph4vrt/EM58beHPPH5npkm9EiIuKhhocZ/fBrOmdkRCng1cvygLg4eX313ia8A717VogMSNn4/fb2xDEPAuBahIPJmVNYGZq8Z9R5zPw6vUzPHx0G48e38Hr4Oec3rNuZdkELku2QVFRCf4Pb2HBook57rGWdnJy8jh66Dr0dA2wbLkDrvmey/G+NO5PkqStrYaxY9tj8pQuKFv2/wOcfv4cgeHDXOHrK7mxs3g8Hsqb1kCtFjYws7VBBbMaOd6PDvuGIL87CLpxGyGPAnOczJOlOnF6z3xcXBzq1q2LDx8+iHvWfyXObvbSXmRpzrN5c3Pc8FuBzMxMWFlOw7NnH7lOiTPSXCeSpbxpdfR0ckCjJo2xc8FS3D11Fhk/ZecAozRRV1dH0MtPeBecdUVq/8HN2HfADcuWDcbcefb48SMW5rUmFmujTlVVCffur4W5eSXcvh2EfXtCMXjgRADAMY892LGr6CcWDKsYY/LBnVDWUMfP5BSEh3z4f8P9138To2NyfW7q5IXo3nUgvoZ+xMgxXXMdOLu6jsaUqV3x+XMEaptPREJC/h9x9jfi+t3j8XgwrlcHlh3bwqJdK1SWN0SFBBWkCjLhl/gM7/xuYNXkhqhcSR+3bwehdat5/xyFWtIEcnKoVLc2ajRuiBpNG6G8aY0ctxqmpaQi5FGAqAH/48OnQi2nQwcrOC8agIYNs+4BTU7+ia1bzmPt2tNQ0DOEma0NzFrYoKJZzl6JUV9DfzXs7yAi+B1ioqOl8u/T2rUjMMOhBwBgluM+XPQPR502LVDLrhlUNDRE0yVGx/xqwPvinf/jPw7KKM0sLU2wc9dkWFqaAACuXXuKfXveYMQwJ/D5fJy/4IFVa+eihlU91G7WHE2btUFlw8rQSJeHHMt5205kbAQePPDD/Xu++Rp1vrjVtWiE5Uu3Q1lZBQGB9zBv4fgCPVqRSy3tOmHB3PWIjPqB/oNa5nqMYGk93lNQkEP//rYYPaYdXgV9wcyZ7oiLK9xTFf66HGUlVGtUH2a2NjBt3iTHiVGhUIjPz18i6MYdvPS7je9v/zwopCzVidPG/O7du/Hw4UPs2LFD3LP+p/v378Pf3x9TpkwBkHUw8PnzZ2zevLlAA+BJe5GlPc/sq1W+vs/QquU8rtPhjLTXqTRTUldDh0lj0KRvT/B/u4cyKSYW906ewb3jpxAb/oPDDMl/Ze9PgwaMxagRDgCAyz6HsMTFCnJyAvTutQKnTt0t9ryqVi2LB/7rEfWjMkK/ZF0537PXFYeOFL1nkrquDqYc3g2d8mXxIeApto+Zmu+TTSoqqti3+wL09cvk6MkAAE2bmsHvZtaV+/btFuLKlcAi5yrKWQK/eyqqajh66Do01DQRohyDOM2sQxcdxQzYV4qGsgIfR4/fxsB+//47L266FcqjRtNGqNG0Eao2tMoxWj8AhAW/FTXe3wc8LdIV47814vN6BKOmoT7MmtvArEVTVGtUP0f309TEJNQpVxErHWYj0Oc6kuOkp2eDvJIiNu+eidEDs3pU3glXgX+ECgAgPjIKz6/ewDMfX7x//ARCKRhQrTBUVBSxePFATJveFQKBANHRCXCYsQf792c9naFd2x5wdFgOPp8PbR0VPH/+KlfX+Z8ZaUhQSEeyGhCvkI40OSGEQiG+PA9C0K27eHXzDsJev5WqQSJrm1thpcsuqKio4ukzfzjNH4eUFPE3/sRty6bjMDOtC/d9G3HwcO5eTHS8J35ahgYwbd406/erYX3IK/32+5WUhDd3/RHkdxuvbt3L84R2XmSpTpw25ufMmYMZM2bg/PnzeP78OdL/84fLzc1N3IsUsbe3x/79+zF27Fj4+/tj2rRpsLe3R82aNfHjx78PzGWlyNKep5GRPl693gZlZUX06b0Cnp7Ff4AtDaS9TqWVZae26DJzCjT0dAEAzy5fx8Qhw+D9xB9aZbPu98rMyMDza364dcgDH5/Qoxalwe/7U/t2vTFh7BwAQGWTCNy574WBA9b+Yw6Swefz4bpuG2qbtwAAPHjogTlzFxR5vgrKypiwdwsq1jJFxMfP2DRodIEbXE0bt8KyJVuRkZGOsRN64f2HYCgrKyLwyUZUr14e7nuuYNQo8f5NlsTvXq8eQzBpwjx8+/YVoyb2gKltE1h2aodq1vVRWVOIHsbx4PMAL/8ouCw7jhfX/fAzSTJPDVBUVUHVhlao0SSrAa9XMedAbYnRMXhzzx+v7zzAm3v++XqE3N/Iy8uhY8f6cJrbJ1cjfs2aU4iIiPvHHLIoKCuheuOGWVftbZtCXff/XWOFmZn4EPgMQTdu46XfbUR8zP3oKUlTUFaGafMmqNPGDqbNmkBRRRmN9JPRxDCrjh7XPsDJcQ8+PnkOxtEzy8WlTZt62L5jIipXzhpp/8gRP0yftitXLTt26I1ZM1xE/5+ZmYGgV09/PfM9q+s8A4NRbTOYNm8Cs2ZNUf63EbsBID4iEq9u3cOrm3fw5v5Die0XBWFmWherVuyGmqo6XrwMwJy5o5GULL1jLJnWrIOtbieQlpaGfgNbICY29z5Nx3tFl/0kCjPbpqhla5Pruxwd+g1Bfrfx8lf3+cKcGJWlOnHamH///v0f32OMwcTERNyLzGHixImYNWsWypQpgydPnmDKlCnw9/fP12dlpciykOfy1SMxZ1Z3fI9IRIvmjnjzuuDPKZV1slCn0sSgciX0nDcT1RplDVzz48MnnHJZi+9BwYiPj4emlhaMrCzQbKA9qja0En3uS9Br3D58AoEXfWTqPsyS5r/70z73bahUsSUA4MChjdi7Xzz3fBeEnJw85s1Zgxa2HcCYEDVr/YCWTiSa2czG48fvCj1fvkCAYa4rUauFDRKjY7Bp4GhEfS3cgFWLFmyEbfP2ePX6GSZN7YtVq4bBYWYPhIZGwbzWRLF3iRT37568vAIOH7gKfT1DrNuwAOcueIjeU9PVRt12rTB5anf0aZg1YrL3Z3W8+gG8vHELAecv4/Xt+0Xqfp19f2b21XfjOrUhkP/tsV7pGfjw5Nmvq+/3xXIllM/no3nzWujfvzl69moCXd2sruVJSamiK/H5bcT/aZ1qNKyPXWdOwvvebRhWrZLj/YiPn/HyV8P+Y+AziV39VlJThZltU9Rp0xI1m1rnuPIWHfoNz3x8YV0+A07TOwIA1qz2xOzZ+ySSS3HQ1dXA+g2jMHiwHQDg06cfmDB+Ky5efPzHz7Rv2x2bNu3AhIkjce/ejX82ejUM9GFqYw3T5k1RvXEDKKqoiN7LSE/Hh8dPEXTrDl7dvMvJSZts1aubY+1Kd6ira+LVq6dwnDsKiYnS0zvkd/PmrEXrVl1w6coprFrjlOc0dLxXOL+fZDRt3kR0kQXI6j7/6ekLBPll3Rr0+5gfhSVLdSq1z5kvKlkpsrTlyRcIULaaCYzr1kYlC3MY160Nw4rlMLRaDDQUss6gv30bhsuXHuPixce4ceMFUlJK/n3J0lan0kpeSRGtRw9Di+EDIScvj/TUn/DZuRc39h1BZnp6nnUqW90ENv37wKpze9EBZkJUNO6d8MI9j9OIj4jkcpVKpd/rZGpaFnfursbXT/r4+F4PALBl23KcPLW/2PJRVFTCooWbYN3QFunpaVi2YiZmzGyArl0b4fPnCNS3mlbo+/d7zpuJpv16IT31J7aOnIjPz/J+nm9+6OjoY/+eC1BT04D3+V1YtdYGAoEAnTstxoULjwo93z8R9+9e1879MX3qIvz48Q2DhrXJ1dsv2/bd0zFmZEukZTKc/KCF8NSswcCS4+Lx9Mp1BJy/jA8BT/PV0NbQ18satK5JI1S3bpBr4MGIT18QfPcBgu88QMjDAPxMFs/VzgYNqqF/f1vY97VBuXL/P6j99i0aB/Zfx/r1XkVqxP/u9zrJqauKBpMyaWAJOfn/D6SWHBeP17fv4aXvLby+cx+piUU7+aOsoQFzOxvUbm2HGk0aQk7h/yP6R37+imc+1/H0ii++Br0WvT5pUmdschsLAHDb5I1p03ZJVdfx/Bg0yA7rN4yCnp4GhEIh3DZ5Y/78Q0hKSv3r54qyPwnk5VHFqu6vq/ZNoG9slOP9yM9f8erWXby6eTfXQGHFoaqJKdau2gtNTW28efMCs+aMRHxCbLHm8C+6ugY4dug65OTkMWZ8D7x9l/cTP+h4L/+0yhjCzLYpzFrYoGoDy1y3/wTffYCXN27j9e17SIqJFeuyZalO1JgvJFkpMtd5qmhqoFIdc1Sqaw5ji9owqm2W4+wvkHVGTS7qE3o00EF5lXT8/njl1NQ0+Pm9wOVLAbh06TFev/5azGtQPLiuEwHMbG3Qw2kGdMpnjYod5HcHp1esQ3ToN9E0f6uTqpYmGvXqiqb9ekGrTFaXyMz0DDy9cg23Dnvg8/OiP8qL5E92nfT1deF3cxlMTSvi0CFfXLuShmFDJgMANm1eitNnDkk8FxUVVSxfugMWdRogNTUFCxdPwsNHt6GhoQL/h+tRvXp5XLv2FO3bLUTmHx4v9icthg1EF4dJEAqFODBjLp5f8ytyvp072sNh+lLweBlo2OQzPE5cwbChG/79wUIQ5++enJw8Du67jDKG5bFx8xJ4nTn8x2kFAj7OnF2Ajh3rI/xHHJx2PoFRk+Y5BkqKDvuGJxd9EHDhCr69+f8gSXIKCqhiZYHqjbOuvperXjXHvFMTk/D2waOsq+/3HiD6a1iR1ut3ZmZG6N+/Ofr1bw4Tk/+P3h8dnYBTnndx9OhN+Pm9KPITEf7rT3VSVFVBjSaNUKtFM5g2a5xjxPjM9Ay8f/wEL/1uI+jG7Xz3FlHV1oK5XTPUadMS1RrVz9GzIfz9Rzzz8cXTK9fx7c2fe7OMHt0O27ZPAJ/Px66dlzBu3FaZaNAbGxti2/YJaNfOEgDw7NkHjB7lhocP3/7jk1nEuT/pGVWAafOmMG3WGCb16+U4kfIzOQVvHzzEq1v38Prm3WIbM6aycXWsW70P2tq6CAl5DYfZwxAXl7/7n4vD8KFTMGTQRDx7/ghTZwz843R0vPdnPB4PFWubibrPl6tRLcf7vw/M+f5RoEQHspSlOnHemC9fvjy6du0KIyMjKPz2YwEADg4OklikWMhKkYszTx6PB4MqxjCuWxvGFrVhXLc2DCpXyjVdSnwCPj17iY9Pn+PT0+f4/DwIqYlJ6Oo4Fa2H2kMvMxqJD6+idcvaMDY2zPHZjx/DcflSAC5efIzr158hMVE2Rjf9F1n5PpVE2mXLoLvTdJjbNQeQdRDvtXIDXvreyjVtfurEFwhg3soWzQb0QRWruqLXPz17iVuHPfDsynWZHElZlmTXydV1LKZO64Jv36JhXmsiYmISMWLYNAweOB4A4LppMc54H5FYHhoa2li9YjdqVDdHYlICnOaNxYuX/+8ma2ZmhPsP1kJNTRnr1p7GrFnu+Z63RbtWGLJ2GQDAa5Urbh06LpaceTwevDyvQEPdCKpqMWjXsTViYiRzj6o4f/c6tu+NWQ4uiIr6gQFDWv/zUVbq6sq4c3cNzM0rISAgBLa2TihXqxbqdWyLOm3soKyuJpr229sQvLp5B2VrVIOJVT0oKCuJ3hMKhfj68vWvq+/38en5SwgzxNfV3NjYEP36NUO//s1Rp05l0etJSak4c+YBjh31w+XLgUhP5/aglsfnw9jCHLVaNINZCxsYVjHO8f73d+9/3cN6B5+evchxL7u6rg7MW9nCok1LmDSol2Og0bA37/DMxxfPrlxH+PuP+c55yJCW2OM+BQKBAPv3X8PIEZvEfpJDXAQCPqZO7YrFSwZCVVUJqalpWLrkGNasOYWMAnyXJHUcoaCsjOqNG8C0WROYNmsCTcOcj00MC36LoJt38frWXXx69lKiAw1WMjLButX7oKtrgI8f32KG4zDExHDf+01eXh7HD/tBW1sXi5ZOhd/NS3+clo73clJQVkaNJv/vPv/fMTo+PnmOoJtZj48ryG9AUclSnThtzLds2RJnz57F+/fvUbNmTbx48QLGxsbg8XgICAhAq1atxL1IsZGVIksyT0VVFVSqUwvGFrVRyaI2KtWpBWUN9VzT/fjwCR+fPMfHp8/x8clz/Hj/Mc+z5HKKiph+zB1lqlbBs6s3sH+6E2rUqIAOHazQrr0lbG3NoaT0/xM+aWnpuH07SNS4f/GicI/ukQaSqJOyhgZ0ypVB6Os3YplfSSOQk4Pt0P5oM3YEFJSVkJmeAb8DR+CzYy/SUvLuzljQOpU3rY5mA+1Rr0Mb0ZWN+IhI3PU4jXsnTiMxSnquKpQk6urqiIv/hMzMWxAI+OjWdSm8vf8/HsrokQ4Y0G8MAOS6t1pc9HQNsGbVXhhXqorY2Gg4Oo3Ms9tlr15NcOJk1r2V/futxvHjuU8i/Zdx3ToYt3sT5BUVcfPQcZxZ5Sq2vOvXr4Zr1zYi8GFlMMbHEpfp8L1x4d8fLARx/e7x+QIc2HsJ5csZYev2FTjhuS9fnzM2NsT9B2thYKCF06fvoXevFWCMQU5BAabNm8CyY1uY2TbNcVUSAOLCI7Ia73cf4O39h0iKFU939mxlymjD3t4G/fo3h7X1/x8Zl5aWjosXH+PY0Zvw9vZHcnLx3IJWmDrpVqzwqzt+U/yPvbsOayPrAjj8I7jVhULd3d3d3d27dXd31627bN3bpW7U3alRN9pSoQWKk9zvD7bsx9aABkLoeZ/nPsBkZu5JThJyMjP3pi+QF1Ozf4+wf/b8yN1TZ/F4/JRspYqTLn+ecNPyvbhzj5uHXLh5xIX3z6I+hk6TJqVYu64/ZmambNp0ktatZkWqOI4JefOmZ+myHhQsGHoE0sXlJl06L+DBg8if0RFTn0sds2QKPR2/dAlS584RLnd+Xt7cO3OeuyfP4Hbmgt5fGwApndIya/oakiZ14Pnzx/Qf1Ib3Hww7o0yVSnUZMmgqb9++pnnrimi13/9yzVjqh+iUMIUD2cuWJHvpEmQsnD/ce6y/z2fczpznzokzoafPR8NzKCKMKU8GLeYvXLjA/v37GTNmDN7e3uTJk4e3b9+yfv16Dhw4wOLFi/Xdpd4YS5L1etpVmlRhR9zT5MmJQ8b04d7EAQL9/Hjueif0qPv1Wzy7eStSoyo7Zc1Mrw3LMTM3Z9OI8Vza/e+HSBsbS8qUyflPcV+ATJkcw2378uX7sNPxjxy5ES3zV0YXfT+frOzt6Lt5FUlSpeTV/YecXr+Fq/sOERwQ98cfiIgMBfNRf8RAHDKEHul6eOkqOyZM/+m3vlHNk12ihBRtWIfiTeqHncobEhTEtf1HOL1hCy/vuEX5voivJU2aCI+32wBf/vrr2DdPE+/yxyCaNOoAwLQZw9h/cLve+k/hkJIZ01bjmCIV7969YcCQdjx//v0BeSZPbsPgIQ3x9Q2geLGBuLo+/e66SdKkote6ZdgmiI/r0ROs6TdMbyN2W1iYcfnKHHLmTIPzbm/i2RbE8+N72naojo+P/j9Q6et9r3LFOgwdPI1Pnzxp1qp8pOajLlYsK8dcJmFpac7UKdsYOjT8WApW9nbkrliO9AXy8Pr+I9zOXtDL4Er/lSCBLQ0alKBps9KULZsT03+OTmu1WlxcXNm08SQ7dpzl06eY/7/2q3myjmdP1hJFyV62JFlLFg03//sXz27cCj0Cf/S4Xi9NqFu3KJs2D8LCwpydO8/RrOk0goIMf2aUtbUlY8Y0o2+/upiZmfLx42cGDljJypWHo7xPQ3wutU0QnywlipCtdAmyliiKTfx/c6vTannueoc7J0MH0XvlFrHLBSLCMUUqZk5fg0NyJ9zdn9FvYBvevnv98w3/YWJigpmlBWYWlphbWmBuaYnZPz/NLS0wt7LEzCJ0mcbEBG1ICCHBIehCQtCGhKANDg79GRKCNjiEiUPmkj5NJv7avJitO1ejDdaGraMLCQl3ACs21w9mFl/ue+hPc4t/HwtzK8uvH6f//G1mafnP799fz8LGmkSOKcL1+/75S26fOM3dE2d4fOV6rDh7MTbn6b8MWsx7e3uTN29eHj9+jKenJyVLluTOnTvkzp2b3bt3ky5dup/vxECMJclRjdPC2oqUObL9W7znzvHVwD4Qev3K0+uhR9yf3bjF6wePfvkUq/IdWlGjTzcCPvsys2GrcNcs/78MGVJQtWp+qlQtQPnyubGx+XdgjJAQLefO3Qs7an/9+uNYfc2cvp9PbWZNInelcuGW+X7y4sL23ZzZtINPbzx+uQ9jZJc4IbX696RgrWpA6EB1zjPmcWXP90+J+3+/midTMzNyVSxLqZaNSZsnV9jyJ9ducmr9FlyPHtfrKbq/qz//7EzPXjV5/fojObJ3/W4B1L3rMBrWb4NOp2PajKEcPLzrl/tOmyYj06euIkniZLi7P6P/4HZ4ePz4emGNRsO+/WOoXDkfjx69plDBvt+M2TZhAnqtX0aSVCl5dvM2izp01+sXdOPGtWDEyKa8ffuJPLl6M3nCGtKly8z+A9uZNnOY3vr5Qh/vexqNhlXL95E6VTqWLJ/Bps3LIr2P5s3LsG79AADat5vD6tVHoxRLZNnYWFK7dhGaNitN1ar5sbD4dzC5c+fusWnjSbZsOYWHx6cYied79Pn/SWNmSrp8echRtiRJUqXkwcUruB45Hq3/k6pXL8i27UOxsrJg795LNGwwmcBAw802UqFCHhYv6R427sHmzafo03vpL+fZ0J9LNaampMmdg6ylipO9dPGvrnf28ngXOojeqbPcP3eJIH9/NKam4QpHM6t/isIvxeN/ist/17UkccIkNCvZhAQ28fEO8GHv/WMEmoT8XxH5re3+/VtfbIPMyOIZDx0K12Sf0Gq+/qwZWtRrCQkORmm1JE2SBPeXLwkJCv7mlwPa///S4J8vEULCfgaH29+XLxh0Wh1mFuZfPU7/vf9m33hcv6wXU3RaLU+u3+TO8TPcOXGat09i35m1hn49RYZBi/nXr19Trlw57t27x+3btxkyZAjOzs7kzp2bM2fOYG//9SnbsYWxJDmicSZ0dAh31N0xS6Zwp8UBBAcG8vL2vX9Omb/Fsxuu+Hzw1HvMJhoN3VYuIH2BvDy+cp2F7bv/9MiTpaU5pUrlCDslP3v28COxvnnzkYMHr3LwwFUOHbqGp2fsypk+n08lmzek3tD+hAQHs6J7f1JkykiJZg1JnDL0TAZtSAi3jp3k1PotPLl6Qx/hx3omGg3FGtWleq8uWMezR6fTcW7LTvbPW4K/d8Qfb33mKVXO7JRs3pC8VSuGjQj9yeMtZzft4Py2XQY7tczYFS+ejZOnpqDRaGjUaBrbt/34tPVePUZSr05LdDodk6cN5sjRv6Pcd5bMuZg6eRnx4yXkyZP7DBjSHk/PdxHaNlEiey5dnk26dMnZt+8ytWuND3eNr5mlJV1XzCNtnlx8eOnO3Bad+Oypv8s08uZNz8VLszAzM6Vxoyls23aG7NnyMm/ORjQaDf0GtuHa9fN66w/083oqV7Y6o4bPxsv7I81aVsDfP2pHrr98kREUFEzlSqM4efJWlPbzMxYWZlSpkp+mzUpTu3YRbG3/vf7+xo0nbNp4ks2bT/H0aez5wtVYPu/8SMWKedm1ewQ2NpYcPnyNenUnxthlCl8kSmTPjJkdaNs29BLSFy/e0b3bIvbsuaSX/ce2PCVInoyspYuTrVQxMhUphKWNddhtOq0WpVPhBjiMCnOthkye9lhpTQnSaLmfyIcgs8idqaQNDiE4KJDggEBCgoLC/QwOCgKlMDUzQ2NmhqmZGabmX36aY2puRk6cSKbs8TD/zDP7z3r9osBQdFotwYGBXz0W4R+jwG8uDw4KIiTc8q/Xe/f0eaTO2jWE2PZ6+hGDFvM7d+5k7969LF++nOnTp1OnTh1Wr15N/fr1+fjxI5UqVdJ3l3pjLEn+VpxmFhakzJYlbGq4NHlyhhvF94tPHm//76i7K+5378fYqS+JnFLQf9tarOxs2TtnIcdWrI3U9mnSJKNKlfxUrVaAChVyY2//7wj6Op2Oixfvc2D/FQ4cuMrlyw8NPjCOvp5PKbNnpee6pZiZm7Nz8ixOb9gKhBaz2cuUoFTzxmQqWjBsffe79zm1YQvX9h2O8almYkrK7FlpOGoQqXJkA+DF7btsHz+dF7fvRnpf0fG6t0+SmGKN6lK8Sf2wgV+CAwO5uvcQp9Zv+eGozSI8a2tLrl3/k8yZnYCUxI9XOkJ56tNrDHVqNUOr1TJxyoAoXSOeJ3chJo5bjK2tHXfv3WTIsE6Rnjopb970nDk7DWtrSyaM38SoUaEjsptoNLSeOZHcFcvi5+XN3Jad9Drvs7m5GRcuziRv3vRs23aGxo2mhN3Wu+co6tZugbv7M9r/UeunA8tFxq++nkxMTFix5G/SpcvMytV/snb9wijHYmJiwsZNg2jcuCQfPnhTtMgAHj2K+Gm7P6LRaChbNifNmpWhfoPiJEz47+B6jx69ZuOGE2zceJK7d6N+fXh0MpbPOz9TunROnPeMxN7ehhMnblGr5rgYG0S3WbMyzJ7TkWTJEqDT6Vgwfy/Dh6/Va/+xOU9mFhZkKJiPbKWLk610cZKkSvnVOt8vGr8sDyQkMIjgwH9/BgcGYWliRtPijUgSLwlevl4s3bmAVx7u39jfP8Xp/20bEhT0S2eTJk3qwMa1RzE1NaN9p1o8eRo6RpHG1BSNmRlm/xT+ob+bozEzI178eFy4eJFSZUoTGBSMxvw/XxJ8+aLAzAxTM9P/+/3LclM05maYmZmH/jQ3R2NmikZjGnqfA7/9OIX+Hfifv/+7XmiTMwRj9+vpvwxazKdLlw47OztcXV2xsbFh5syZFC9enAcPHtCvXz+eP9ffhxV9M5Yk29vb8+rDeyo0qEvyLBlJmzcXKbNl+eqbQ21wCC/vuvHsxq1/rnd3jbHpRr6nUJ3qNJ0wkpDgYOY27xjlgdzMzc0oUSIbVauGFvf/PyIwwPv33hw6dI2DB65w8OA13r79pIfoI0cfzycrezv6bVlN4pROYQMIfotDpgyUbN6QAjWqho3K/NnzI+e27eLs5p14v43YkcTYzsrejuq9ulCscT00Gg3+3j7sn7eEs1t2Rvka4+h83Zuam5O3SgVKtWwc9sUDhF7Pf3r9Fm4fPx2towTHBbNmdaRP3zq4u3/Ayak58eMljlCeTExM6NdnHDWrN0arDWH8pP4/HI34v4oULs3YUfOwtLTi2vULDB/VNcpHiFu0KMvadaEzudSrO5Hdu89Te1BvyrRqSkhQEIs79dL7GTUjRzZl7LgWvH/vTc4c3cO9B9rY2LJ6+T6SJnVg/cYlLF85S2/9/urrqVTJSowbPZ/Pvj40bVEOX99fe01aW1vicnwShQtn5t69lxQvNuCXrlEvWjQLTZuWplHjkqRI8e8Ize7uH9iy+RQbN57k8mX9XUccXYzl805EFC2ahf0HxhI/vi3nzt2jerUx0Tq+Tpo0yVi4qBvVqhUA4NatZ3TqOI8LF/Q/Toox5Sle0iQAYUWlNijoly6FTJggMTOnrSZdusx4er6j38A2PHv+6Ocb/qKO7fvRollnrl47T/9BbSK0jTHl6XdmTHmKTKxKn02j0ahSpUqp+PHj63W/MdXs7e2VUkrZ29sbPJYftR6rF6mZrue+amOO71Vt50xR5dq1UOny5VZmlpYGj/Vbrc3syWqm6zk1cOd6vcXo6JhItW9fSW3eMlh5ftyodMo5XLt0ebYaP76lKlEiuzI11RjN86n1zIlqpus5NWz/dmVlb/fT9W3ix1Pl2rVQIw7tDHteTLt6SrWcNk6lzZPL4Ln/lVagZlU15vjesPvVbNIoZZ84UazIU0Ramjw5Vctp49S0a6fC7sPwgztU2bYtlHW8eAZ/fGNjK1kyuwrR7lY65azq1S8Z6TyZmJioQQMmKZfDburw/luqZImKEdquXJlq6vD+W8rlsJuaOG6RsrD49fepOXM6KZ1yVp+8Nqvm/TuEPQfyVqmg98ctZ840KiBwh9IpZ9W0aelvrlOiWAXlcthNHTlwW2VIn0Vvff/q62npop3K5bCbatemt95icnBIqJ49X6l0ylkdPDROmZmZRmr7XLnSqkmTWqtHj5eH+7/y7v16tXhxd1WmTE6l0cTM/5XYkqfY1goUyKjef9igdMpZXbw0SyVKpP/7pdFoVJ8+dZTP561Kp5yVf8AONXx4Y2VubiZ5iqYWP35CtWzxLuVy2E3t2HJWpU+nv/eqbzULC0u1a/t55XLYTZUoHvH35t89T8bSjClPkYhV/537+/urtGnTGvxBiKtJ1piZqlGHd6tZrufUgO1rVf3hA1T+mlVU4pROBo8tos02QXw12mWPmul6TtUepL8PbF+amZmpKlEiu5owoZW6dHn2V4W958eNavOWwapdu4rK0fHXi8Hoej6VaNZQzXQ9p6ZePalS5cweueeJqanKVbGs6rZqYbgvfPpsWqkK1KyqTM3NDf48iGhLnj6t6rpyQdh9GLhrg8pQMF+syVNkW/zkSVXVnn+osSf2hd2nyRddVMNRg5VDxvQGf7xjS7OxsVT3HyxROuWsli/vGeU8aTQaNXTwtLCCvnix8j9cv3q1hurowbvK5bCbGjFspjI11c8HdTMzU+VyfHJoEei/V827fUaVa99S74+bqalGXbw0S+mUs9qxc/gP1x0z8k/lcthNLZy3VW/F6K+8nooVLadcDrupvbuvqnj2CfT6uOTJk055+2xROuWsFi7s+tP106d3UMOHN1autxaE+//h7bNF/bW2n6pevWC0FnHR3Yzh805kW+7cadUbj7VKp5zVtetzVdKk+juwlDt3WnX+wsyw54HL8ckqc+bo/9wVF/MU+ccgvlq8YLtyOeymdm0/rzJljNznoci06tUaKpfDbmrDX0cj9Z4oeTKOZkx5Mmgxf+nSJVW+/I8/LMXWZixJjp8ggQrShsT6OH/UspYqFlbIZCpaKFr7Sp48gWrVqpxav2GAevd+/VfF/bXrc9WUKW1UxowpYs3zKWX2LGrqlRNqpus5VapF41+KwzFLJtV47DA15fLxcGdxVOnWUdknSWzw58L3moW1larRp6uadvVUWMFbvkMrZWqm3w/Qhnrdm1laqkJ1a6h+W9eE+8Kly7J5KkfZksrEyI706bt9OZL97PlKFS+ezS/lSaPRqBFDZyiXw27q0D5XVbRwmW+u16hBW+Vy2E25HHZT/XqP1fvR1nxlCiuvwD1Kp5zVudurlImJid4ftyFDGiqdclbvP2xQDg4Jf7huokRJlfPOS8rlsJtqUK+NXvr/lTwtnLdVuRx2U5069I+W51Tt2kXCzvTo2bPWV7enSJFI9elTJ1zR9uUI7PYdw1SjRiWVtXXsPOMtJvMUm1u2bKmU+6s1Sqec1a3bC376GvhZs7KyUJMmtVZBwbvCDgZ07Fg5Wl67v1OeIttsbe3VgrmblcthN/X3josqS+boOdNw+ZK/lcthN9WoYTvJUxxsxpSniMYaLdfMV6lShcmTJzNy5EiuXLmCr2/465Zi8zUKxnIthbHE+TP1hw+gRNMGfPJ4y4z6rfD3jv5RMDUaDYUKZQq71r5QoUxoNBoAvLx8qV1rPKdO3dZLX1HNk5WdLX23rCZJqpS4Hj3B6j5D9BKPbcIEFG1Qh+JN65MgeTIAQoKDuXHwKKfWb+XFrTt66UcfcpQrRd0hfcPmLb3lcpJdU2bz8dUbvfcVG15P6fLnoVSLxuSqUAbNP3NRf3jpzumN27i4cw8BPp9jNB6NmSmWNrZY2dpgaWuDla0tlhH93c4WS2trHl66yp6Z8wn084t0/6VL5+T4ickAVKk8isOHr/1ynjQaU0YOm0nZMtUICgpixOiuXLp8Ouz2tq170qZVDwA2bV7OkuXTI93HjyRK6UivdcvIlNKehmk/Ym6qYfiwv5g8eave+siWLRVXr/2JpaU5bVrPYu1al59uU7N6Y/r3HY+/vy/tOtbE4+2vzQce1TwVKliSaZNXEBDgT7NW5fn0Sf+zqgD071+P6TPao9VqqV1rPBcu3KdBg+I0bVaaMmVyhv0/0Gq1HD16k00bT7Bz5/lovQbbEGLD+150yZgxBUePTSRVqqQ8ePCKCuWH8/Ll+0jvp1y53Cxe0p1MmUJnjdm27Qy9ei7hzZuP+g75u+JyniLLxsaWKROXkStnAT77+jBkWCdu37mmt/3nzVOE2TP+wt/fj0bNSkdqvA7Jk3EwpjwZZAC8kSNHMnPmzHAd/v/AFyYmJiilMDP7tSkropOxJNlY4vwZC2sr+m1ZQ9K0qbm27xDrBo+O8RgSJ45HpUp56dW7FkWLZsXfP5AmjafqZVqZqOap9cyJ5Klcng8vXzG7SdtITbMWERozU3JVKEupFo1Jly932PJnN25xasNWbh46FmMzHPxXIqcU1B3clxzlSgHg6f6aXVNmcfv46Z9sGXWx6fWUwCE5JZrWp2jDutjEjwdAoJ8fl//ez+kNW384b6upuXlY8W1p+61C/Msy23+W//O7nQ1WNuGLcn3NTfv2yTPWDhzJK7eIDwhma2vF9RtzyZAhBcuWHqBz5wWAfvJkamrGqOGzKF2qCkFBgQwd0Zlr18/TrctQGtZvA8DyVbNZv2FxlPb/PTbx49Fz7VKSpUvDyztu+J/YxsIFndHpdNSoPpaDB6/+ch8ajYbTZ6ZStGhW9u69RK2a4yK0nYmJCbNnrCVP7kKcv3iCocP/+KU4opqnubM3kCtnAbZuW8XCJVN+vsEvWLasJx06VsbfPxAzM1PM/28qrTNn7rBp40m2bj1jkIFTY0pset+LDmnTJufosYmkS5ecJ088qFB+eISnBkyY0I4ZM9rTrn3o7EsvX76nR/fF/P33hegM+Zviep4iy8rKhskTFpM3TxH8/HwZOuIPbrpe1su+x42eT6mSldj99wbmzBsbqW0lT8bBmPJkkGI+JCSEFClSkC1bth+ud/LkSX11qXfGkmRjiTMiUuXMTs+1SzA1M2Pd4NFc23fIIHFYW1uyafMgatUqTEiIlg7t/4zQUa0fiUqeSjRtQP3hAwgJDmZ+6y7RfrQ8ZfaslGzeiHzVKobNhuD19h1nt+zk/LZdfP4QM0cgTM3NKdumORX/aIuFtRUhwcEcX72BI0tXERwQvfMGx8bXk7mVJflrVKFUi8akyJQhbPmjy9cICgjAyubroj065sENDgwk0NePAF9fAn39Ivy7uZUldQb1JoFDcoIDA9k97U/ObdkZoT7nzetM9x41efbsLblz9cDHJ3SaJ33lyczMnNEj5lCyREUCAwO4cvUsxYuVB2Du/PHs3L0uyvv+Zn8WFnRe+ifpC+Tl4+s3zG3RCe9371mypDud/qiKp6cPhQr25cmTX5uD/MsRZy8vX3Lm6I67+4cIb5sqVXqWL96NhYUF4yf145jL3ijHEZU8fTkiFhQUSLNWFfD0jN7ZN8zNzTh4aBxly+YC4Pr1x2zaeJJNm07y/HncmPnjZ2Lj+56+pUyZhKPHJpIpkyMvXryjQvnhPHz446kJmzQpxZw/O5E8eUIAFi7Yy9Cha8Leh2La75CnyLK0tGLC2IUULFACf38/ho/qyrXr539pnw4OKVm/5jAajYY2Harx/PnjSG0veTIOxpQngxTzWq0WBwcH3r0z3n+ExpJkY4kzoip3aU+V7p3w9/ZhRv2WBps+z8zMlGXLe9KmTQUA+vdbzuzZu6O8v8jmySlbZnqtW4aZhQW7ps7h1LrNUe47suwSJ6Row7qUaFI/bHqZkKAgru0/wukNW3h5R/9T7nyRsXABGowYSLJ0aQB4cOEyOybO+OFRaH2K7a+njIULUKpFI7KXLRV2CvCPBPkHfKfI9iUgQgX5v3//yhkaNvHj0XTCSHKULQnAjUPH2DJ6EgGfv3+6ctmyuTjmMgmAShVHcPTov9O16TNPZmbmjB01N6yI12q1TJ85jIOHd/3Sfv/LxMSEFlPHkq9aJfx9PjO/dWfePAz9kGhhYcbxE5MpWjQrN248oUTxgfj5Re2Lq0yZHLl+Yy7W1pZ07DCXlSsPR3ofrVp0o33b3nz8+IG2Harj7fMpSrFEJU+zpv9FvrxF2Ll7HXPnj49Sv5FlZ2dNgwbFuXDBjXv3XsZIn7FJbH/f0xcHh4QcOTqB7NlT8/q1JxUrjODu3RdfrZcqVVIWLOxKzZqFALhz5zl/dJrP2bN3YzrkcH6XPEWWhYUl40bPp0jh0gQGBjBidDcuXzkT5f11+WMQTRp14NLlUwwa2jHS20uejIMx5ckgU9NptVqVJEkSgw8Y8CvNWAZGMJY4I9o0pqaq1/rloYN/LZ8XYwPLfKuZmJiomTM7hA18NHFiqxjJk5WdrRq6d6ua6XpOtftzisHuv6mZmcpXvbLqtW5ZuEHZevy1ROWpUkFpIjml0w8fn8SJVIspY8L6GO2yR+WvUTnG77OxvJ4SpXRURRvVVYXqVFe5KpZVmYsVVqlz51DJM6RTCRySKyt7O6Ux1V9+9NVKt24aNojhsP3bVKoc2b65nq2tVdjUX98abVzfeTI3N1djR81Vzrsuq9Ilo+d5V6NP17AZKTIWLvDV7U5OidXrN38pnXJW69YPiFIfGo1GnTw1VemUs9p/YGyUYzUzM1crlzorl8NuatCASVHeT2TzlDNHgbCBCZMmdYjR5+bv3IzlfU8fLWnS+Ora9blKp5yVx9t1KnfutGG3aTQa1bNnLeXlvTlssMNRo5oqC4vYMVPB75SnyDZzc3M1Ydwi5XLYTR3c+/2BTX/WrKxswgYCjeo+JE/G0YwpTwYZzV6r1SpPT0/14cOHHzZDPzhxIcnGEmdkWpLUKdWkC8fUTNdzqnSrpgaP58uI0DrlrJYs6R6lUa0jk6dWMyaEzjt+YEesmXM8da7sqvnk0Wrq1ZNhBffII7tVhY5tlG3CBFHer4lGo0o0a6gmnD2sZrqeU9Ovn1b1hvZTVvZ2BrmfcfH1FNtaqpzZ1bD928MK21Itm3y1zoIFXZVOOavHT5YrOzvrGMuTRhM9X4AUbVQ37HVToFa1765XqlQOFRi0U+mUs+rTp06k++nVq5bSKWfl5b1ZpUqV9Jdizp4tb9i0fPnzFY3SPiKbp2mTl4fNHhATz0VpUcuTsbdEiezDpmx8/2GDKlAgo8qZM406e2562P/6k6emqqxZUxo81t85T5FtZmahX8p++UIwMnPDf2m1azZTLofd1NrVB6N8MEnyZBzNmPJksGK+Z8+eqnXr1j9shn5w4kKSjSXOyLYvH36nXD4eK+bb7tSpigoOCZ2OZsvWIZH+pj6ieSrepL6a6XpOTbt6SqXOFX3zp0a12SdJrKp066jGHN8bVpxMuXxcNRk3XDlmyRSpfaXKmV313bw6bD+9N6xQKbNnMez9i6Ovp9jWrOztVJtZk8Jy327u1LAvrsqXzx32gbpcudxGn6espYqp6ddPq5mu51SlLu1/un7PnqEFeVDwLlW2bMSnXEqf3kF99t2mdMpZde5cVS+x9+oxUrkcdlPrVh9SFhaRn4YtMnnKmiWXcjnspo4cuK0cHGJXERXXmzG9nvTV4se3VafPTAv78uvLl2gfP21SnTtXNehZgZKnqDdTUzM1ctgs5XLYTR3ef0uVKR2598LVK/Ypl8Nuqn7dmDkTU5rhmjHlyWDFfNKkv3ZUwNDNWJJsLHFGpXWYP0PNdD2n+m1do0zNzQ0eT/36xZV/wA6lU87q8JEJ3zxi+Ct5csqaOWw++dhwRsKPmqm5uSpQs6rqs2lluFPwu61aqHJVLPvDU7yt49mrBiMHqek3zqiZrufU+DMHVbFG9WLFXOpx+fUUG1uJpg3CnvMjDu1UOYsXVE+erlA65azmz+9i9HlyypZZTbpwVM10PaeajB8e4e3W/NVP6ZSzeuOxVqVM+fNL1kxMTNQxl0lKp5zVkaMT9FaI2NjYqi0bTkR5vvfI5GniP6fI/spp/dKi1ozl9aTvZmdnrVyOTw778nDb9qHK0TGRweOSPP1a02hM1dDB0/75cvCOqlCuZoS2K1ighHI57Kb27LqibGxsJU9xvBlTngxSzIeEhEgxL3H++n1LnEiNPbFPzXQ9p2r07WbweCD0qOGX6+kuXJylkiSJ2GnwP8uTpa3Nv9fJz51q8PsZmZY2Ty7Vcto4Ne3aqbCifvjBHapcuxZfXSZQsHb1cEf1m04YqewSJzT4fYhonqTpvzllzayG7NmiZrqeU9feHVQ65awePlqmbG2tjDpPCVM4qNHHnNVM13Oq89I/IzXGhLW1pbpydU7Y+4yl5Y+/zOzatbrSKWfl83mrSpcuuV7vR/Fi5cOOmGfIkDVS20Y0TxkzZAv74O3klMbgufvdmjG8nqKrWVtbquHDG6uaNQsZPBbJk/6aRqNRg/pPCntfqVKp7k+3mTR+sXI57KZ6dIv4F6+SJ+NtxpSniMb682GRI8HExESfuxO/KZ8PnmwdGzrHcNm2LUhfIK9hAwKOHbtJhfIjeP/em0KFMnHy1FRSpUr6y/ttPGYoSVKnxPPVazaNmKiHSGPO0xuurBs0iolV63Nk6Wp8P34ikWMKavbrwagju2k4ejDZShWn2+qFNJs4EvvEiXjz8DEL2nVj04jxMTblnYid3O/dZ3aTtgTfOUeeJEEA7LgVAhZWBo4s6qzs7ei4cCbxkibh1f2HrOk3DF2INsLb+/sHUr/eJD58CH2fWbCgy3fXTZMmGVOntQVg6JA1vzyt3X+dPXeM4ycPYGpqxoC+EyI0i0JktWrZDQCX4/twd4+ZmSuEgNDX2sSJW9iz55KhQxF6pNPpmD5rOH/v2YSpqSmDBkymerWG313fySkNxYqWQ6fTsWPX2hiMVAj90et/Z1NTU6Oelk7EHreOneTCDmc0Gg3NJo7Cys7W0CFx+fIDSpUczPPn78iaNSWnz0wla9aUUd5fscb1yFu1ItrgENYOHIm/t7ceo405Xh7v2D9vCeMq1WXTyAm437uPhbUVxRrWpePCmWQokI9AP3/2zJrPzEateXz5mqFDFrGEpSk0LZoAgCse5pimz0v/rX+RvmA+wwYWBaZmZrSdPRmHjOnx8njHim79fzgF3/c8e/aWZk2no9Vqad+hMp07V/3mekuX9cDOzpqTJ2+xYEHU54T/kXkLJvD5szdZs+Sift1Wet13urSZKV2yMjqdjnUbFul130KI35dSitl/jmbHzr/QaDQM7DeROrWaf3PdenVaAnDh4glevXoek2EKoTf6/6pdCD3ZPXUOH166k8gpBXWH9DV0OAC4ub2kZIlB3L37glSpknLy1FQKFcoU6f04Zc1MnUG9AdgzZwHPb97Wd6gxLiQwkEu79jKrURvmt+nCjUPH0AaHcPPIcabVaYbLqvWROkop4r4ZM9qTOnVSHj58RePKffF4/JT4yZPSdfk8KnZuh0k0HA2OLo3HDiNTkYIE+PqyvHt/Pnm8jfK+jhy5zvBhoUeJ/pz7B0WLZgl3e8eOlalUKR/+/oF07DAXpdQvxf49np7vWLx0GgDt2/YheXInve27ZfPQsw5OnjrIs+eP9LZfIYQAmLdwIlu2rQSgT6/RNKjXJtztNja2VK1cH4DtO/+K8fiE0CeDXxMQm5qxXEthLHH+akubN3fYiNC5KpY1eDxfWuLE8dT5CzOVTjkrb58tqmLFvBHOk6WtTdi1wu3nTjP4fYnOFhsGt4tI+11eT7GpVamSX+mUswrR7lYlS4bO4GBhbaWajB8eNrZCl2XzlH3ifwemiq15qtKtY+hsFNdOqSzFi+htv5u3DFY65axeuq9WDg6hY0ykTJlEffIKHb+jb9/IT2MX2WZiYqLmzFyrXA67qSkTl0Vom5/lKVWq9GHT36VPZ9iZLH7nFltfT9IkT/psHdv3Uy6H3ZTLYTfVpFGHsOX167ZSLofd1KrleyVPv1EzpjwZ5Jp5IfTt6fWbHFsReoSq0egh2CdJbOCIQn344E3FCiM4fPgadnbW7Nk7ioYNS0Ro20ajh5A0TSo8X71m44gJ0RypYSmdztAhiFgofnxbli3vCcC8uc6cPn0HgCD/ADaPnMiGYeMI9PMnU9GC9N++lkxFCxky3B8qVLcGlbt2AGD7+Gm4nb2gt313aD+X27ef4+iYmC1bh2BubsaSpT2IF8+Gs2fv8uefznrr63uUUsycPYqgoECKFC5NhXI1f3mfLZt1RqPRcPrMER4/cdNDlEII8W3LV85i9V/zAOjyxyBaNu+KiYkJ9eqGnmIv18oLYyfFvIj1Di1awYs797BNEJ8m44cbOpwwnz/7U6vmOLZuPY2FhTmbNg/67vWtXxRtVJd81SqhDQ5h3aBRRnudvBC/YtasDqRMmYQHD14xbNjXH6SuOO9nTtN2vLr/EPvEifhjyRyq9vwDjWns+peVuVghGo0aAsCRpau5sEO/xfXnz/7UrzcRLy9fSpbMzukz06hWrQABAUF0aD8XXQx9Wfbi5RPWrg+9rr1712HEs08Q5X05OqamQvnQLwTWrl+oj/CEEOKH1qydz/JVswHo0K4Pk8YvJqVTWnx8vDh8ZLeBoxPi18SuT0ZCfIM2JISNQ8cSHBBItpLFKN6kvqFDChMUFEKzptNZsng/Go2GRYu7M2xY42+u65glE3UH9wFg35+LeHbjVgxGKkTsUK1aAdq1r4ROp6Nd2zn4+wd+c723T57xZ/OOnN2yE41GQ6U/2tFm3nR8gr+9fkxLkTkDbWZNxtTcjKt7D7J/3pJo6efBg1e0bDETIGx8jjGjN+Dm9jJa+vueTVuW8/iJGwkTJqZrl8FR3k+Lpp0xNTXj/MUT3H9g/GOFCCGMw/oNi8PGAClapCwAe/dvIyDA34BRCfHrpJgXRsHj8VP2zF4AQK3+PUmaNrWBI/qXTqeja9eFTBi/CYAJE1sxe3bHcFM1WtrY0HrGBMwtLbl9/DQn/tpoqHCFMJgECWxZuiz09Po5s3dz9uzdH64fEhjI9vHTWDtwJAGffUmTNxdrH7qSqZhhT7uPlywpHRfOwsrOloeXrrJpZPROK7l37yXGjF4PwIULbsycuTNa+/uWkJBgZsweiU6no2rl+uTPVyzS+0ie3InKleoAsHadHJUXQsSszVtXMH9h6Pu1VhvCrr/XGzgiIX6dFPPCaJzZuA23sxewsLai+eTRaMxMDR1SOKNGradvn2UA9O5Th9Vr+mJmZopSipqDe5M0bWo+vn7DphHjo230aSFis1mzO+HklBg3t5eMGLEuwttdP3CEWY3b8ureAwK0IbSYOZGa/XoY5D3A0taGjgtmkCB5MjweP2V1nyFog4Ojvd9x4zZRvtwwqlUdjVZrmLEo7t69Efbht1+fcVhaWkVq+2ZNOmFmZs7lK2e4c/d6NEQohBA/tn3nXwwa2oFBQzvg4eFu6HCE+GVSzAujoZRi08iJ+Hl5kzpndip1bm/okL7y559/07rVLEJCtLRqVY71G/py6+NrclUqFzafvJ+XXCcvfj81axaibdsKaLVa2rWdQ0BAUKS2//DiJSs69yFvIgcAyrVrQY/Vi0no6BAd4X6TxsyU1jMm4pQ1M97vP7C8Wz/8vX1irP/jx1359Cnyc9fr0/KVs3n79jVOjqlp3bJ7hLdLkjgZ1ao0AORaeSGEYV26fJqr184bOgwh9EKKeWFUvN++Y9v40GueKnZqQ+rcOQwc0dfWrXOhbp0J+PsHUrVqfhJZ3sRSo2Pf3MVynbz4LSVMaMfiJaGF3+xZuzl/PmojmGuDgynvmJZNQ8bi5+1Nmjw56bd1DTnLl9ZnuN/VYPhAspYsSqCfPyu6D8DT/XWM9Bub+Pv7MmfeWACaNGpPhgxZI7Rd0yadsLCw4MbNi9x0vRydIQohhBC/DSnmhdG5cfAoV/YcQGNqSovJY7CwtjZ0SF/Zt+8yNWtNxD9Y4WgbQu3kr3E7uN/QYQlhEHP+/ANHx8TcvfuCUaN+/RrFeyfPMKtRG57duIVNvHi0+3MqdQb3wdTcXA/RfluFjm0o2rAOOq2WdYNG8fLOvWjrK7Y7d96F4yf2Y2pqxoC+E9BofvxRImHCJNSsHjow6F9yrbwQQgihN1LMC6O0Y9JMPr5+Q5LUKak9sJehw/kmx8p12fY0IX4hGlImtuTU6amkTx9zpwQLERvUrl2EVq3KRfn0+u/5+OoN89t2wWVV6JcDpVs2oee6pSROlVIv+/9/+WtUpnrvLgDsmjKbOydO670PYzN3wQR8fLzImiUX9eu2+uG6TRq1x9LSitt3rnH12rkYilAIIYSI+6SYF0YpwOczG4ePR6fTUaxRXbKXKWnokMIp0qA2+atX5q2vCZ+DC/LkiQfp0ztw+sw0cudOa+jwhIgRiRLZh51eP2P6Ti5evK/X/etCtOyZNZ/l3frj+/ETqbJnpd+W1eSpUkFvfWQomI8m40cAcHz1Bs5s2q63fRuzjx/fs3hZ6CVP7dv2IXlyp2+uFz9+QmrXbAbItfJCCCGEvkkxL4zWo0tXOflX6HRwjccOxS5RQgNHFCpF5ozUG9oPgKNLVpLcOhmVK43h+vXHODgk5PiJyZQsmd3AUQoR/f6c+wcODgm5ffs5Y8ZsiLZ+7p46y8xGrXl85TpWdra0njGBBiMHYWZp+Uv7TZYuDW3/nIKZuTk3Dh1jz6z5eoo4bth/YDs3bl7E2tqGvr3GfHOdRg3aYm1tg9v9W1y4eDJmAxRCCCHiOCnmhVHbP28Jr+4/xD5xIhqNGWLocMLNJ3/n5BnObtgGwNu3XpQrO4xTp26TIIEdBw+No2ZNw86VLUR0qlu3KC1alCUkJPT0+sDA6J2+zcvjHYs69ODw0lXodDqKN65H7w3LSZYuTZT2Z584EZ0WzcYmXjyeXndlw7BxMqXkfyilmDl7FEFBgRQpXJoK5WqGu93OLh51a7cEZF55IYQQIjpIMS+MWkhQEBuGjiEkKIic5UpTpH4tg8bTcNQgkqVLw6c3HmwaHn4+eS8vX6pWGY2z80WsrS3ZsXM4rVqVM2C0QkSPrFlTsmhxNwCmT9vO5csPYqRfnVbLgXlLWdalDz4fPHHMnJE+m1ZSoGbVSO3HwtqKDgtmkMgpBe+evWBlz4GEBAZGU9TG7cXLJ6xdvwiA7l2HEc8+QdhttWo0xdbWjkeP7nHm3FEDRSiEEELEXVLMC6P3+v4j9s9bCkCdwX1InPLb125GtyL1a5G/RhW0ISGsHTgK309eX63j7x9Ig/qTWLPmKGZmpqz5qx99+tQxQLRCRI+KFfNy9tx0kidPyI0bTxg7dmOMx3D/3CVmNmzNg/OXsbSxofnk0TQZPxwLa6ufbqsxNaXltPGkypGNz54fWda13zdfy+Jfm7Ys5/ETNxImTEzXLoMBCAnRUqtGUwDWblhkyPCEEEKIOEuKeREnnPhrIw8vXQ374K4xNY3R/lNkzkC9of2B0FP/n16/+d11Q0K0tG/3J7Nn7QJg1uyOTJjw49GghTAGf/xRlX37x5AggR2nTt2mYoURBAWFGCQWn/cfWNK5N/vnL0Wn1VK4bk16b1yJQ8b0P9yu7pC+5ChbkuCAQFb2GsSHFy9jKGLjFRISzIzZI9HpdFStXJ88uQvj/uITdnbxePrsISdPHTR0iEIIIUScJMW8iBOUTsem4ePx9/lM2ry5KNe+ZYz1bWFtTesZEzG3suTuqbMcX/XzebSVUvTvv4JhQ9cAMGx4YxYv7v7T+ZqFiI00Gg0zZ3Zg8ZLumJmZsnatC5UqjuDDB2+DxqV0Oo4sWcWijj3x8niHQ4Z09Nm48ruX45Rt05wSTRug0+lYP3QMz27ciuGIjdfduzfY9Xfoe1+3LsN48fwjAOs3LJaxBoQQQohoIpWDiDM+vn7DzkkzAajStSMps2eNkX4bjBwYep28x1s2RnKQrClTttH5j/lotVr+6FyVjZsGYmFhFo3RCqFftrZW7Ng5jL796gIwcsRa2rSeZbAj8t/y+PI1ZjZqzd3T5zC3sqTx2GG0mDoWSxubsHVyVy5PrQE9AXCeOQ/XI8cNFK3xWr5yNm/fviaFQ0pCgnW8evWcY8f3GTosIYQQIs6SYl7EKVf2HODGoWOYmpvRfPJozK1+bWqqnylcrxYFa1VDGxLCuoEjo3Rt7bJlB2nSeBqBgcE0alSSPXtHY2dnHQ3RCqFfKVMm4dTpqdSuXYSAgCCaNJ7KxIlbDB3WN/l+/MSKbv3ZM2s+2pAQ8levTN8tq3HKmpm0eXPTfNIoAE5v2Bo25aWIHH9/X+bMGxv295btK9HptAaMSAghhIjbpJgXcc62cVPxevuO5OnTUrNv92jrxyFTBuoPC71O/sD8pTy59v3r5H9mx46z1Kg+Bh8fPypWzMvRYxNJnDievkIVQu8KFMjI+QszyJs3PR4eHylXdhhbt542dFg/pJTCZdV6FrbtxsfXb0iaJhW91i+jw4LpmFtacsvlJLumzjF0mEbt3HkX1m9cRAqn+Jw4ud/Q4QghhBBxmhTzIs7x8/Jm88iJAJRs3ogsxYvovQ8La2vazPznOvnT53BZue6X93ns2E0qlB/B+/feFCqUiVOnp5IqVVI9RCt+JkECWxQ6Q4dhNOrVK8aJk1NwdEyMq+tTihYZwIULboYOK8Ke3nBlZsM23HI5iZmFBTbx4vH81h3WDx6N0snz4Fdt3rqCLNmSo9XKUXkhhBAiOkkxL+Ikt7MXOL1hKwBNxg/HJr5+j3J/uU7ey+NdpK+T/5HLlx9QquRgnj9/R9asKTl9ZipZs6bUy74FWFqakzdvelq1Kse0ae3Yt38ML16u5tnzZcAhmjcvbegQY71BgxqwfccwbGws2b//CiVLDOLZs7eGDivS/L29WdVrMNvGTePS7r2s6DGAIP8AQ4clhBBCCBFhMtKWiLP2zF5ApqKFSJ4+LQ1HDeav/sP1st/CdWtSsFY1dFotaweNxPfjJ73s9ws3t5eULDGIg4fGkS1bKk6emkqN6mO4dOmBXvuJy0xMTEibNhm5cqUlV6405PznZ+bMTpiZfW/awhAWLe5CzVoF6PzHfF698ozRmGM7c3MzFi3qSvsOlQGYP8+Zvn2Xo9Ua95Hsc1t3cm7rTkOHIYQQQggRaVLMizgrOCCQDUPH0mvdMvJULk+BmlW5sufAL+3TIWN66g37Mp/8Up5cvaGPUL/y8uV7Spcawt59oylcODNHj02kXt2JHD0aPf0Zs0SJ7MmVK024wj1nztTY29t8c/0PH7xxdX3GLden3Lz5FFfXZ7i7f+L5i9MEBrpSo0Yhbt1eQL++y1m9+mgM35vYKWFCO7ZtH0q5crnRarX06b2MBQv2GjosIYQQQojfWpwq5p88eULatGnDLRsyZAhTp041TEDC4F7eucehxSuo1rMz9Yb15/GV63x8/SZK+7Kwtqb1zIlYWFtx7/R5XFau1XO04X344E3FCiPYvmMolSrlY+++0bRoPoPt289Ga7+xlYWFGdmypSJ37rTkypWWnP8U8E5Oib+5fmBgMHfuPP+qcH/9+usj7vb29piQkVIlazFvfkeKFMnCylV9aNS4FH90moe7+4fovnuxVsaMKdizdzSZMzvh7e1Hs6bT2L//iqHDEkIIIYT47cWpYh5g5MiRLFu2LOxvHx8fA0YjYoNjK9aSrVRx0ubNRdOJI1ncsWeUBrlqMGIgydOnxcvjHRuGjdXbdfI/8vmzP7VqjmPtuv40alSSzVsG063rIpYu/bUzDGIzExMT0qRJRq5cacidO22ETpF//PgNrq5PueX6DNd/CvcHD15F+hRwNzd3SpYYRL9+dRk7rgXVqhUIO0q/atURfdw9o1KmTE627xhGokT2PHv2llo1x3Hr1jNDhyWEEEIIIYiDxbyPjw8eHh6GDkPEIjqtlg1Dx9J/+19kLJSfMq2acnzNhkjto1DdGhSsHXqd/LrBo/R+nfyPBAWF0KzpdDw/+NC5SzUWL+lOpkyOXLp0Hz+/QHx9A/HzC/zn94BwP2P79cwJE9qFnR7/pXD/0Snynp4+3Lz5lFuuoUfZXV2fcuvWcz5/9tdbTFqtjunTd+DsfJGVq3pTtGhWVqzsTaPGJfmj03xevnyvt75is7ZtK7B4SXcsLMw5f/4e9epOxMPjk6HDEkIIIYQQ/4hzxfyQIUMYOXIkz58/Z8OGDcyePTtK0+PY29tHQ3T68yW+2B5nbBHk5c3BPxdTe2g/qvXqzMsbt/B49CRC2yZNl4YGwwcA4LJsDe/uP4rw467PPA0atBYv7wAGDapH/wH1IrRNYGAw/n5B+PoF4O8fhJ9vIH7+X4r/IPz8AvH3C8TXLxB/v6Cw28It8wv8vxaEn18Afv/sKzAwOEJxWFiYkSWLE9lzpCJH9lTkyJma7NlT4eiY6Ltxu7m5c/v2C+7cfsHtO8+5c/sFr19//GpdExOzX358v5Und3cvqlUdT48eNRg+oiFVq4YepR8+bB1//XX8l/qLzUxMTBg1qjH9+tcBYMf2c3TtupiAAK3B32/kfc84SJ6Mg+TJOEiejIPkyTgYU54iGqMJEP3nCseQvn37cvXqVTw9PSlevDiTJ09m1apV9O/fP8L7sLe3x9vbOxqjFIailOLv5/d55PORJJY2NM+QEzPNj2dnDNZpWf/oFp6B/qSxi0/9NFkxMTGJoYi/TfESeAVo/9NC/u/3mGT6TzP756fm/343AXz/ad97q7EG4gH2//fTFpNYNHOm4jNwHfj0z5KkQG5MsDZUSNFCoQWuAV/GlcgEZMYEwz7nhRBCCCF+R/HixfvhZeOxvpifPHkyQ4YM+eE6WbNmxc3N7avl7dq1Y8mSJdjZ2REUFBSh/r4U805OTrH6ent7e3vc3d1jfZyxjW3CBHRduwS7RAk5u2Erh+Yv++H6dYcPIG+Nyvi8+8Ditl0jfXq9ofJkaWmOja0lNtYW2NhYYWNjgY2NJTY2llhbW/xzm2W4daxtLLC1scT6n/XCtvlnPWvrf/dhaWke6Zg+fvwceqT9zgtu33rO7TsvuHf3JT4++jtFPqoikieNxoRu3aoxYmRjrK0t8Pb2i1NH6ZMnT8Cmzf3Jnz8DgYHB9Oy5jM2bThs6rHDkfc84SJ6Mg+TJOEiejIPkyTgYU56+xGr0xXySJElInPjbo1V/8fjxY4KDvz7dN3v27Ny+fZssWbJw//79CPX3pZj/2QNnaMYSZ2yUvUxJOsyfjk6nY3HHnjy6dPWb6xWqU52mE0ai02pZ1LEnjy9fi3RfcTVPpqaasMLe1tbqPz//XW5pac7Tp2+5efNJrJ63PTJ5ypzZiZWrelO8eDYADh26RqeO83jx4l1MhBotcudOi/OeUaRKlZT3772pX28ip0/fMXRYX4mrr6e4RvJkHCRPxkHyZBwkT8bBmPIUmVhVXG3NmzdXISEhKkGCBBHext7eXimllL29vcHjjwtxxtbWcPRgNdP1nBpxaKeysrf76vbkGdKpyRdd1EzXc6pCpzaSpzjeIpsnjUaj+vato3z9timdclafvDarTp2qGPx+RKXVrFlIeftsUTrlrG7fWajSp3cweEz6ypM0yZM0yZOxN8mTcTTJk3E0Y8pTRGONPRel/qKiRYvSu3dvcufOTbp06WjevDmzZ89m3bp1fPr0ydDhiVjm72lzef/8JQlTOFBvaL9wt1lYW9F6xgQsrK1wO3uBY8v/MlCUIrbS6XTMnr2bvHl6cebMHeLFs2HJ0h4cPDSO1KmTGjq8COvduza7do/Azs6aI0euU6L4QB4/fvPzDYUQQgghhMHFmWI+MDCQpk2bcuLECW7fvs3w4cOZPXs2f/zxh6FDE7FQkL8/G4aNRafVUrBWNfJUqRB2W71h/XHImB6vt+/YMDRm5pMXxunBg1eUKT2Ufn2X4+8fSKVK+XC9NZ8//qhq6NB+yMzMlIULuzJ7Tic0Gg3Llh6gerUxfPrka+jQhBBCCCFEBMWZYv7atWsUK1aMhAkTYmNjQ44cOZgyZUqEB74Tv59nN25xZNkaABqOHES8ZEkpWLs6hevWRKfVsn7waD57fjRwlCK20+l0zJmzmzy5e3L69B3s7W1YvKQ7hw6PJ02aZIYO7yvx49uyZ+9ounStjk6nY0D/FXTuvICQkJieBUEIIYQQQvyKOFPMCxEVh5es5PmtO9jEj0fbWZOo/8988gcXLudRFAa8E7+vhw9fU7bMUPr0XoqfXyAVK+blpus8OneuavDpDL9Ily45Z85Oo3LlfPj6BlC/3iRmzdpl6LCEEEIIIUQUSDEvfmu6EC0bho4lyD+ANHlyYmljzf1zFzkq18mLKNDpdMyd60zePD05deo29vY2LFocepQ+bdrkBo2tePFsnL8wk+zZU/Py5XtKlRzM339fMGhMQgghhBAi6qSYF7+9d0+fs2fWfAC8371n/dAxKJ3OwFEJY/blKH3vXqFH6StUyMNN13l07VrdIEfpmzcvw9FjE0maND5XrjykaJH+XL/+OMbjEEIIIYQQ+iPFvBDAmU3bWdFjIPNad+bzB7lOXvw6pRTz5jmTJ3dPTpy4hZ2dNQsWduXwkZg9Sj96dDPWrR+ApaU5O3eeo0zpIbx65Rlj/QshhBBCiOghxbwQ/7hz4jSeL18ZOgwRxzx69Jry5YbRq+cSfH0DKF8+9Ch9t27Re5Te0tKcdesHMHpMcwCmT9tOwwaT8fMLjLY+hRBCCCFEzJFiXgghoplSivnz95And0+OH3fFzs6a+Qu6cvTYRNKl0/9R+qRJ43P02ESaNy9DcHAInTrOY/Dg1TLNohBCCCFEHCLFvBBCxJDHj99QofxwenRfhK9vAGXL5uKm63y6d6+ht6P02bOn5vyFmRQvno2PHz9TtcpoVqw4pJd9CyGEEEKI2EOKeSGEiEFKKRYu3EfuXD1wcbmJra0V8+Z34ZjLJNKnd/ilfVeunI8zZ6eRLl1yHj58RbGiA3BxuamnyIUQQgghRGwixbwQQhjAkyceVKwwgu7dFvH5sz9lyuTkxs159OxZK0pH6bt2rc6evaOJH9+WkydvUazoQO7fd4+GyIUQQgghRGwgxbwQQhiIUopFi/aRO1dPjh27ga2tFX/O/QOX45PIkCFFhPah0WiYPbsjCxZ2xczMlDVrjlK50kg+fPCO5uiFEEIIIYQhSTEvhBAG9vSpB5UqjqRb14V8/uxP6dIRO0pvZ2fNrt0j6N2nDgDDh/1Fu7ZzCAoKianQhRBCCCGEgUgxL4QQsYBSisWL95MrZw+OHr2BjY3lD4/Sp0qVlFOnp1KzZiH8/QNp3GgKkydvNUDkQgghhBDCEKSYF0KIWOTZs7dUqjiCLp0X4OPjF3aUvnfv2mFH6QsVysSFizPJkycdb958pGyZoWzbdsbAkQshhBBCiJgkxbwQQsRCS5ceIHeunhw5ch0bG0tmz+nEiZNT6NatOsdPTMbBISE3bz6hSOH+XLr0wNDhCiGEEEKIGCbFvBBCxFLPnr2lcqWRdP5jPj4+fpQsmZ35C7pibW3J3r2XKFliMC9evDN0mEIIIYQQwgCkmBdCiFhu2bKD5MrZg0OHrgEw98+/qVtnAp8/+xs4MiGEEEIIYShmhg5ACCHEzz1//o6qVUYRP74tXl6+hg5HCCGEEEIYmByZF0IIIyKFvBBCCCGEACnmhRBCCCGEEEIIoyPFvBBCCCGEEEIIYWSkmBdCCCGEEEIIIYyMFPNCCCGEEEIIIYSRkWJeCCGEEEIIIYQwMlLMCyGEEEIIIYQQRkaKeSGEEEIIIYQQwsiYGTqA2Mre3t7QIfzQl/hie5y/O8mTcZA8GQfJk3GQPBkHyZNxkDwZB8mTcTCmPEU0RhNARW8oxsXR0RF3d3dDhyGEEEIIIYQQ4jfm5OTEq1evvnu7FPPf4OjoiI+Pj6HDEEIIIYQQQgjxG7K3t/9hIQ9SzAshhBBCCCGEEEZHBsATQgghhBBCCCGMjBTzQgghhBBCCCGEkZFiXgghhBBCCCGEMDJSzAshhBBCCCGEEEZGinkhhBBCCCGEEMLISDEvhBBCCCGEEEIYGSnmhRBCiDikTJkyKKUoU6aMoUPRO1NTU6ZOncrz58/RarXs3LnT0CEJIYQQBiPFvBBCCPEDbdq0QSkV1oKDg3n58iWrVq3C0dExSvssVqwYo0ePJn78+FGOq2vXrrRp0ybK2xuj9u3bM2jQILZt20abNm2YPXu2oUMSQgghDMYEUIYOQgghhIit2rRpw+rVqxk5ciRPnjzBysqKokWL0rZtW54+fUrOnDkJDAyM1D779+/PjBkzSJs2Lc+ePYtSXK6urrx//55y5cqFW25iYoKFhQVBQUEoFbf+xW/cuJGSJUuSKlUqQ4cihBBCGJyZoQMQQgghjMH+/fu5cuUKACtWrOD9+/cMGTKE2rVrs3XrVgNH9y+lVKS/XDAWyZIl49OnTz9dz9TUFI1GQ3BwcPQHJYQQQhiInGYvhBBCRMGpU6cAyJAhQ7jl5cqV4+TJk3z+/JmPHz+ya9cusmbNGnb76NGjmTFjBgBPnz4NO30/TZo0ALRt25ajR4/i4eFBQEAAt2/fpkuXLuH6ePLkCTlz5qRs2bJh27u4uADfv2a+YcOGXL58GT8/P969e8fatWu/ukxg1apV+Pj44OjoyM6dO/Hx8eHt27dMnz4djebHHxmcnZ159OjRN287e/Ysly5dCvu7YsWKnDp1io8fP+Lj48O9e/eYOHHid/edJk0alFKUL1+enDlzht3nMmXKhN3Wv39/evfuzcOHDwkMDCR79uyYm5szduxYLl++zKdPn/j8+TMnT56kbNmy39x///796datG48ePcLX15eDBw+SMmVKAEaMGMGLFy/w8/Nj165dJEyY8Ks4q1atGpZ7b29v9uzZQ/bs2cOtkzx5clauXMmLFy8ICAjg1atX7Nq1Kyz/QgghRETJkXkhhBAiCtKmTQvAx48fw5ZVqFCB/fv38/jxY8aMGYO1tTU9e/bkzJkz5M+fn2fPnrFjxw4yZ85M8+bN6dOnD+/fvwfg3bt3QOi18Ldv3+bvv/8mJCSEWrVqsWjRIjQaDQsXLgSgT58+zJs3j8+fP4cVwR4eHt+N9culAhcvXmTo0KEkT56c3r17U6JECfLly4eXl1fYuqamphw8eJALFy4wYMAAKlasyIABA3j06BGLFy/+bh+bN29m7dq1FCxYkMuXL4ctT506NcWKFWPAgAEAZM+enT179nDz5k1GjRpFYGAgGTNmpESJEt/d97t372jZsiXDhw/Hzs6OoUOHAnD37l2sra0BaNeuHVZWVixdupTAwEA8PT2JFy8eHTt2ZOPGjSxbtgx7e3s6dOjAwYMHKVy4MDdu3AjXT4sWLbCwsGDevHkkSpSIQYMGsWXLFo4dO0bZsmWZOnUqGTNmpGfPnsyYMYMOHTqEbduyZUvWrFnDwYMHGTx4MDY2NnTt2pXTp0+TL1++sMsptm/fTo4cOZg3bx5Pnz4lWbJkVKpUidSpU0f5kgshhBC/LyVNmjRp0qRJ+3Zr06aNUkqp8uXLq8SJEysnJydVv3595eHhofz9/ZWTk1PYulevXlVv3rxRCRMmDFuWK1cuFRISolavXh22rH///koppdKkSfNVf1ZWVl8t279/v3r48GG4Za6ursrFxeWrdcuUKaOUUqpMmTIKUGZmZurNmzfq5s2bytLSMmy96tWrK6WUGjNmTNiyVatWKaWUGjFiRLh9XrlyRV26dOmHj5O9vb3y9/dX06dPD7d8wIABSqvVqlSpUilA9e7dWymlVOLEiSOdCxcXF+Xq6hpuWZo0aZRSSn369EklSZIk3G0ajUaZm5uHWxY/fnz1+vVrtXz58q/24eHhoeLFixe2fOLEiUoppa5du6ZMTU3Dlq9fv14FBAQoCwsLBShbW1vl6emplixZEq6vZMmSqY8fP4Ytjx8/vlJKqf79+xv8eS1NmjRp0oy/yWn2QgghRAQcPXqU9+/f8/LlS7Zv346vry+1a9fG3d0dAAcHB/Lly8fq1avDHa13dXXl8OHDVK9ePUL9BAQEhP0eL148EidOzIkTJ8iQIQPx4sWLdNwFCxYkefLkLFy4MNy19Pv27ePu3bvUqFHjq23+ewT+1KlTpE+f/of9+Pj4sH//fho3bhxueZMmTTh//jwvXrwACLvmvU6dOpiYmET6/nzP9u3bw85y+EKn04VdN29iYkLChAkxMzPj8uXL5M+f/6t9bN26FW9v77C/L1y4AMC6devQarXhlltaWuLk5ARApUqVSJgwIRs3biRx4sRhTavVcuHChbBBCv39/QkMDKRs2bIkSJBAb/ddCCHE70mKeSGEECICunXrRsWKFWnQoAF79+4lSZIk4YrjL9c8u7m5fbXt3bt3SZo0KTY2Nj/tp3jx4hw+fJjPnz/j5eXF+/fvmTx5MkCUprL7UVz37t376lptf3//r4rijx8/kihRop/2tXnz5rDT6gHSp09PwYIF2bx5c7h1Tp8+zYoVK/Dw8GDjxo00atTolwv7J0+efHN569atuXHjBgEBAXh6evL+/Xtq1qz5zcfy+fPn4f7+cvnBly8i/rv8y3XzmTJlAsDFxYX379+Ha1WqVCFZsmQABAUFMXjwYKpVq4aHhwcnTpxg4MCBJE+e/BfuuRBCiN+VXDMvhBBCRMDFixfDRrPftWsXp0+fZsOGDWTJkgVfX1+99JE+fXqOHj3KvXv36NevHy9evCAoKIjq1avTr1+/nw5Cpw//fwQ6spydnfH19aVx48acO3eOxo0bo9Vqw432HxAQQOnSpSlXrhw1atSgatWqNG3alKNHj1K5cmV0Ol2U+vb39/9qWYsWLVizZg07d+5k+vTpvH37Fq1Wy9ChQ78auBC+f9+/t/zLFxBf8tKyZUvevHnz1XohISFhv//55584OztTt25dqlSpwvjx4xk6dCjly5fn+vXrP72fQgghxBdyZF4IIYSIJJ1Ox9ChQ3FycqJHjx4AYYOXZcmS5av1s2bNyrt37/Dz8wP47vzvtWrVwsrKitq1a7N06VL279/P0aNHv1moRnQO+R/FlSVLFr0Ouubn58eePXvCjrQ3adKEU6dO8fr163DrKaU4duwY/fv3J0eOHAwbNowKFSqEnY6uLw0bNuTRo0fUr1+fdevWcejQIY4ePYqVlZVe+/kyiv/bt285evToV+3EiRPh1n/8+DGzZs2iSpUq5MyZEwsLC/r376/XmIQQQsR9UswLIYQQUXDixAkuXLhAnz59sLS05M2bN1y7do02bdqEO4U7R44cVK5cmX379oUt+3Ik/7/XTX85Avz/p5zHixePdu3afdW/r69vhK67vnz5Mh4eHnTp0gULC4uw5VWrViV79uzs3bs3Qvc3ojZv3oyTkxMdO3Ykb9684U6xB745pduXI9KWlpZ6jeVbj2fhwoXDLgPQl4MHD+Ll5cWwYcMwM/v6pMckSZIAYG1t/dV9fPToET4+Pnq/70IIIeI+Oc1eCCGEiKLp06ezbds22rZty5IlSxg4cCD79+/n3LlzrFixImxqOi8vL8aMGRO23ZfT9SdOnMimTZsIDg7G2dmZQ4cOERgYiLOzM0uWLMHOzo5OnTrx9u3br+aEv3LlCl27dmX48OE8fPiQt2/fhs01//9CQkIYPHgwq1ev5sSJE2zcuDFsaronT54we/ZsvT4m+/btw9vbmxkzZhASEsL27dvD3T5q1ChKly7N3r17efbsGcmSJaNbt268ePGC06dP6zWWPXv20KBBA3bu3MnevXtJly4dXbp04c6dO9jZ2emtHx8fH7p27cratWu5evUqmzZt4t27d6ROnZoaNWpw5swZevbsSebMmTl69Chbtmzhzp07hISEUK9ePRwcHNi0aZPe4hFCCPH7MPiQ+tKkSZMmTVpsbV+mpitQoMBXt5mYmKgHDx6oBw8eKI1GowBVvnx5derUKeXr66s+ffqkdu/erbJmzfrVtsOHD1cvXrxQISEh4aapq1mzprp+/bry8/NTjx8/VgMHDlRt27b9aiq7ZMmSKWdnZ+Xl5aWUUmHT1P13arovrVGjRurKlSvK399fvX//Xq1du1Y5OjqGW2fVqlXKx8fnq1hHjx6tVOh5/RFqa9euVUopdejQoa9uK1eunNq5c6d6+fKlCggIUC9fvlTr169XGTNm/Ol+fzQ13femexsyZIh68uSJ8vf3V1euXFHVq1dXq1atUk+ePPnpPr48lg0aNIjQc6JMmTJq//796uPHj8rPz089ePBArVy5UuXPn18BKlGiRGrevHnqzp07ysfHR338+FGdO3dONWzY0ODPc2nSpEmTZnzN5J9fhBBCCCGEEEIIYSTkmnkhhBBCCCGEEMLISDEvhBBCCCGEEEIYGSnmhRBCCCGEEEIIIyPFvBBCCCGEEEIIYWSkmBdCCCGEEEIIIYyMFPNCCCGEEEIIIYSRMTN0ALGRo6MjPj4+hg5DCCGEEEIIIcRvyN7enlevXv1wHSnm/8PR0RF3d3dDhyGEEEIIIYQQ4jfm5OT0w4Jeivn/+HJE3snJKVYfnbe3t8fd3T3Wx/m7kzwZB8mTcZA8GQfJk3GQPBkHyZNxkDwZB2PK05dYfxanFPPf4ePjE+uTDMYT5+9O8mQcJE/GQfJkHCRPxkHyZBwkT8ZB8mQc4lKeZAA8IYQQQgghhBDCyEgxL4QQQgghhBBCGBkp5oUQQgghhBBCCCMj18wLIYQQQgghhIgxNjY2JEmSBBMTkxjr09bWloCAAFKlSoWvr2+M9ftfSinev3+Pn5/fL+9LinkhhBBCCCGEENHOxMSEdu3aUbZs2RjvW6PRcPHiRYYNG4ZOp4vx/v/r+PHjrFq1CqVUlPchxbwQQgghhBBCiGjXrl07ypQpw+bNm7l37x4hISEx1rdGoyFbtmzcvXvXoMW8mZkZWbNmpXHjxgCsXLky6vvSV1BCCCGEEEIIIcS32NraUrZsWTZv3szevXtjvH+NRkOiRIl49uyZwY/MP3r0CIAmTZqwadOmKJ9yb1QD4JUqVYq///4bd3d3lFLUqVPnq3XGjh3Lq1ev8PPz4/Dhw2TMmNEAkQohhH6YWVqSKmd2ijWqR8NRg2k7ZwqJUzoZOiwhhBBCiEhJnDgxAPfu3TNwJLHDl8chSZIkUd6HUR2Zt7W15caNG6xcuZKdO3d+dfugQYPo1asXbdq04cmTJ4wfP56DBw+SPXt2AgMDDRCxEEJEnHU8exyzZMIpW2acsoa2ZOnSYGoW/q1aGxzM2oEjDRSlEEIIIUTkfRnsLiZPrY/NvjwOvzIIoFEV8wcOHODAgQPfvb1Pnz5MmDCBv//+G4DWrVvj4eFB3bp12bx5c0yFKYQQPxUvaZLQgj17lrDCPXFKx2+u6/PBE/e793n//AUlmzciV8WyJEiejE8eb2M4aiGEEEIIEVsYVTH/I+nSpSNFihQcOXIkbJm3tzcXLlygWLFikS7m7e3t9R2iXn2JL7bH+buTPBmH6MyTiYkJCZ1SkCJzRhwyZyRF5gw4ZM6IXaKE31z/46s3vLn/kNf3H/3z8yE+7z+E3e6UJRPpCuSlbOtmHF0c9QFTjJG8noyD5Mk4SJ6Mg+TJOEieIsbW1haNRhPWYpqpqWm4n4b25XGwtbX96rkT0edSnCnmHRwcAPDw8Ai33MPDI+y2yHB3d9dLXNHNWOL83UmejMOv5kmrdHgG+PM2wJe3AX689fflXYAfQTrtV+uaAIksrUlmZUsya1uSWtmQzNoWq5xmUPn7fTz09uTv5/ep1K4lW6bMxFwTO/4hxSR5PRkHyZNxkDwZB8mTcZA8/VhAQAAXL14kW7ZsJEqUyGBx5M6dO9LbjB49mlq1agGhp8d7eHhw9OhRFi9eTFBQUJTiSJ48OalSpeLKlStYWVlFaR9xppjXNycnJ3x8fAwdxnfZ29vj7u4e6+M0JiYmJr80z+O3SJ6MQ1TyZG5lhUPG9DhkzhB21D1Z+jSYWVh8tW5IYBAejx7/39H2R7x99ITgKIzlYaLR0GvzKhI6paBS6+Zc/Xt/pPdhrOT1ZBwkT8ZB8mQcJE/GQfIUMalSpWLYsGHcvXuXZ8+exXj/pqam5M6dm5s3b6LVfn2g5Uc8PT05cOAA7du3x9zcnAIFCrBq1SrevHnD0KFDoxRPmjRpePHiBV27duXFixfhbvvynPqZOFPMv3nzBgj9huPL71/+vn79eqT35+PjYxQvRmOJM7ZzyJSBTgtn8uTaTTYMG4suJHIv8J+RPBmH7+XJJn48nLL9c237P4PTJU2b+puniPl7++Du9gD3u264372P+737vH3yDF0k/2n8yMkNW6gzsDeFGtTmxPotetuvsZDXk3GQPBkHyZNxkDwZB8nTj/n6+qLT6cKaoWi12kj3r5QiICCA169fA/D8+XNatGhBxYoVGTx4MK1atWLhwoXky5ePhw8fArBgwQLKly9P/vz58ff3/2qfXx4HX1/fKD9v4kwx/+TJE16/fk2FChW4ceMGEPqNRpEiRVi0aJGBoxOxmamZGc0njiKBQ3LyVatEkJ8/W8ZMNnRYwkASOCT/dzT5f34mTPHtS3W83r7D/V5owf6lcPd8+SraY7y4cw9Vu3ciRaYMZCpSkAcXLkd7n0IIIYQQ0cHCOmqnmEeWiUaD6TfOoIyKHDlyULx48bAzDNauXUvNmjVZv349xYsXp0qVKnTs2JFixYp9s5DXF6Mq5m1tbcPNG58uXTry5MmDp6cnL168YM6cOYwYMYIHDx6ETU336tUrdu3aZbigRaxXoVMbnLJlxt/nM5Y21hRpUBvP1284smSVoUMTMcA2YQJKNmvEtid3GbRvKzYJ4n9zvffPX4YV7S/vuuF+z43PHz7GcLShAnw+c2n3Pko2a0jJFo2kmBdCCCGEUerx1xLS5Yv8Ney/ovC1G8xv3SXS29WsWRMfHx/MzMywsrJCq9XSo0ePsNs7d+7MzZs3mTt3LvXr12fMmDFcvXpVn6F/xaiK+YIFC3L8+PGwv2fPng3A6tWradeuHdOmTcPW1palS5eSIEECTp8+TdWqVWWOefFdTtkyU7FTWwC2jp2CbYL4NBgxkGo9/uDTaw8u/73PsAGKaJMicwZKtWhC/hqVMbe05LmvFzYJ4qMNDsHj8ZNwR9tfuT0g4LOvoUMO5/SGrZRs1pDsZUqSOKUTH17KoDtCCCGEMDJ6Hq8qOrm4uNC1a1dsbW3p27cvISEh7NixI+z2T58+0aFDBw4dOsSZM2eYMmVKtMdkVMX8iRMnMDEx+eE6o0ePZvTo0TEUkTBmpubmNJs4ClNzM64fPMqNg0cBSOjoQPn2rWg8Ziheb9/x4PwlA0cq9MXExIRspUtQumUTMhUtGLbc/c49WleoSpNqNXh04xYhURyVNCa9e/qcu6fOkq1UcUo0b8jf0/40dEhCCCGEEJEyv02XGD3NPk/uPFy+cCFK2/v6+vLo0SMA2rdvz40bN2jfvj0rV/47VXDp0qUJCQkhRYoU2Nra8vnzZ73E/j0xP8GfELFE5S7tSZEpAz4fPNkxcUbY8n1zFnFt3yFMzc1oO3syKTJnMGCUQh8sbWwo2bwhg50302H+dDIVLYg2JITrB44wt2UnlnXsRZ7EDry698AoCvkvTq3fCkDhujWxtLExcDRCCCGEEJEX5B8QIy3YPwCtnj7nKaWYNGkSEyZMCJtWrlixYgwePJhatWrx+fNn5s+fr5e+fkSKefFbSpUjG+U7tAJg+/hp+H78FHabUoqNIybw8NJVrOxs6bhwFvGTJzVQpOJXJHJKQa0BPRl5ZDf1hvYnaZpU+Hl7c2zlWiZVa8jagSN5duOWocOMsvtnL/D2yTOs7e0oVLe6ocMRQgghhPhtbN26Fa1WS/fu3bGzs2Pt2rXMnTuXAwcO0KJFC5o0aUKDBg2iNQYp5sVvx8zCgqYTR6IxNeXq3oO4Hj3x1Tra4GBW9xnCm0dPSJA8GR0XzsLKztYA0YqoSJc/D21mTWLo3q2UbdMca3s73j55xrbx0xhfsQ57Zy/k0xsPQ4f5y5RSnPpnarqSzRr99DIkIYQQQgihH1qtlvnz5zNo0CDmzp2Lr68vw4YNA+DWrVsMGzaMJUuW4OjoGG0xGNU180LoQ9XunXDIkA7vd+/ZOXnWd9fz9/Zhedd+9Fq/DMfMGWkzaxLLu/VHGxISg9GKiDI1NydvlQqUatWEVNmzhi13O3Oek+s243bmAsqIBlmJqMt/76d6ry4kTZuarCWLcffUWUOHJIQQQggRp7Rr1+6by6dOncrUqVO/edvs2bPDBmyPLnJkXvxW0ubJRZm2zQHYOnYqfl7eP1z/4+s3LO/en0A/PzIXK0yjMUNjIkwRCXaJElKxcztGHNxB88mjSZU9K8EBgZzbuotpdZuztEtf7p0+HycLeYAgf38u7HAGoFTLxgaORgghhBBCxBQ5Mi9+G+ZWljSdMAKNRsOl3Xu5c+J0hLZzv3ufv/oPp/286RSqU52Pr15zcOHyaI5W/Mx/p5YD8PJ4x+mN2zi/bddPv6iJS05v3ErpVk3IUrwIydOnxePxU0OHJIQQQgghopkU8+K3Ue2fU5G9PN6xa+qcSG177/R5tk+YTuMxQ6nctQMfX3twcadz9AQqvstEoyF76eKUatmETEX+nVru2c3bnFq3mRuHj6EL0RowQsP4+OoNt1xOkbtiWUo2b8T2CdMNHZIQQgghhIhmUsyL30L6Ankp1SL0FOQtYyYR4BP5OR8vbP+bhI4OVPqjHQ1HDcLr7TvczpzXd6jiGyxtbChUtwalWjQmSeqUAGhDQrh52IWT6zbz/OZtA0doeKfWbyF3xbIUqFWNfXMX4+/tY+iQhBBCCCFENJJiXsR5FtZWNBk/HI1Gw4Xtf3PvdNQL8APzlpLQwYGCtavReuYEFrbthvu9+3qMVvy/RE4pKNm8EYXr1cLa3g4APy9vzm/bxZmN2/nk8dbAEcYejy9fw/3efZyyZqZI/docX73e0CEJIYQQQohoJMW8iPNq9OlGklQp+fj6Dbun//nL+9syehLxkyUlU9GCdFgwg7ktOsWJac5ik/QF8lKqZRNyliuFxtQUgLdPnnFy7Wau7NlPkH+AgSOMnU6v30qT8cMp0awBJ9duQqf9/S45EEIIIYT4Xcho9iJOy1i4ACWbNwJg86hJBPr6/fI+tSEhrO47hNcPHhE/WVI6LZqF1T9HjUXUmZqbU6BWNfpuXk331YvIXbEsGlNT7p0+z9IufZlWpxnntu6UQv4Hru47xGfPjyRyTEGOcqUMHY4QQgghhIhGUsyLOMvSxoYm44YDcHbzDh6cv6S3fQd89mV51354ebzDIWN62s2Zgqm5ud72/zuxS5SQSl3aM+LQTppPGkXK7FkI8g/g7JadTKvTjGVd++J2Ju5OLadPIUFBnNu2C5Bp6oQQQggh4jo5zV7EWTX79yCRUwo+vHzFnlkL9L7/Tx5vWdatHz3WLCZj4QI0HT+cDUPHStEZQSkyZ6R0y9Cp5cwsLIDQx/TMxm2c37b7t5paTp/ObtpB+XatyFAgH05ZM8uYDkIIIYQQcZQU8yJOylysMMUb1wNg88gJBPr9+un13/L6/kPW9BtGxwUzyV+jCp6v3rB/7uJo6Ssu+O7UcjducXLdZm4ecfktp5bTJ+9377lx+Bj5q1emVMvGbBoxwdAhCSGEEEKIaCCn2Ys4x8rOlibjhgGh03U9unwtWvu7f+4iW8dOBqBipzYUbVQ3WvszRpa2NpRq0ZghezbTft50MhUpiDYkhGv7D/Nni47MbdmJ6weOSCGvJ6fWbQYgX7VK2CVKaOBohBBCCCGM26pVq1BKoZQiKCiIx48fM3XqVCwtLQ0alxyZF3FO7YG9SeCQnPfPX7Lvz0Ux0uel3ftImMKBKt070WD4ALw83nH35JkY6Ts2S5TSkZLNG1GkXi2s7GwBmVouJjx3vcOzG7dIkycnRRvV5ciSVYYOSQghhBDCqO3fv5927dphbm5OgQIFWLNmDUophgwZYrCYpJgXcUrWUsUoUr8WOp2OTSPGx+jI54cWryShYwoK16tJq+njWdiuG14v3GOs/9jEwtqKqj07U6p5o7Cp5TweP+XUui0ytVwMObV+C2ny5KREk/q4rFiLNiTE0CEJIYQQQhitwMBAPDxCp6N++fIlR44coVKlSvj6+tK4cWNy5coVbv1r167h7OzMqFGjoi0mKeZFnGEdz57Go4cCcHLtJp5cuxnjMWwdN4X4yZKQpURROi6cyYo/+sR4DIaWuVhhGo4aTOKUjgDcO32ek2s3cf/cRRkcMAbdPOyC19t3xE+WlDxVynN17yFDhySEEEII8RUbm5g5VV2j0WBlpZ/Zp3LkyEHx4sV59uwZK1euZPTo0RQsWJDLly8DkDdvXnLnzk39+vX10t/3SDEv4oy6g/sSP3lS3j55xv55Sw0Sgy5Ey5r+w+m+ehFOWTPTctZE/H+TI6LW8eJRZ1AvCtWpAYDnq9dsGzcNtzPnDRzZ70kbEsLZzTuo1rMzpVo0kWJeCCGEELHOqdNTKVEie4z2eeb0HUqVGhzp7WrWrImPjw9mZmZYWVmh1Wrp0aMH7u7uHDx4kHbt2oUV8+3atePEiRM8efJE3+GHIwPgiTghR7lSFKxdDZ1Wy8YR4wkJDDRYLIG+fizvPoBPbzxIkiYVfz93w8wibs9Bn7tyeQb/vZFCdWqg0+k4tX4LM+q1lELewM5t3UVwYCCpc2UnTZ6chg5HCCGEECIcYzpp08XFhbx581KkSBFWr17NqlWr2LFjBwDLli2jWbNmWFpaYm5uTvPmzVm5cmW0xyRH5oXRs4kfj4ajQr9dO75mA89v3jZwROD99h3Luvaj519LcAfqjhjI6n7D4txp5vGSJaXB8P7kLF8GgDePnrBl9CSe3bhl4MgEgO/HT1zbd5jC9WpSqkVjyYsQQgghYpXSpQbH6Gn2efLk4dy5i1Ha3tfXl0ePHgHQvn17bty4Qfv27Vm5ciXOzs4EBgZSr149goKCMDc3Z9u2bfoM/5ukmBdGr96w/sRLkpg3Dx9zcMFyQ4cT5s3Dx2weNo5286eTs2JZavTtzp5Z8w0dll6YmJhQpEFtavbrgbW9HSHBwRxb/hdHlq1BGxxs6PDE/zm5bjOF69Ukd6VyxE+eFC+Pd4YOSQghhBAijJ9fzJxRq9FoCAjQz+dUpRSTJk1i1qxZbNiwgYCAANasWUO7du0ICgpi06ZNBARE/4DPcpq9MGq5KpYlf/XKaENC2DRiAiFBQYYOKZwnV65T2Sk9AOXataBEs4YGjujXJUmdki4r5tNo9BCs7e14dvM2sxu35eDC5VLIx0Kv7z/k4aWrmJqZUbxx9A7CIoQQQgjxu9i6dStarZbu3bsDsHz5csqXL0/VqlVj5BR7kGJeGDG7RAlpOHIQAMdWruXF7bsGjujbsidIytHFoS/oukP6kqNcKQNHFDUaU1PKtW/JgO3ryFgoP4F+/uyaOod5rf7gzcPHhg5P/MCpdVsAKNaoLmaWMXMqmxBCCCFEXKbVapk/fz6DBg3CxsaGhw8fcvbsWe7du8fFi1E7lT+ypJgXRqv+8AHYJUrIK7cHHF4UM99+RdWpvzZxbtsuNBoNLaeOI3WumB2181c5Zc1M7w0rqNm3O+ZWlridvcCM+i04tW4zSqczdHjiJ24fP8WHl6+wTZiA/NUrGzocIYQQQgij0q5dO+rVq/fV8qlTp5I8eXL8/PwAcHR0jLGj8iDFvDBSeatUIE/l8miDQ0+v1xrB9G87JszgzskzWFhb0WH+DBKndDJ0SD9lZmlJjT5d6b1xBSmzZ8HPy5uNw8eztHMfPN1fGzo8EUFKp+PMxtBBWEq1bGzgaIQQQggh4pYkSZLQo0cPHBwcWLVqVYz1K8W8MDr2iRNRf8RAAI4sXYX7vfsGjihidFotaweM5MWde9glSkinRbOwTRDf0GF9V/qC+Riw7S/Kd2iNqZkZ1w8eZVqdZlz+e5+hQxNRcHHXHgL9/HHMnJEMhfIbOhwhhBBCiDjj3bt3jBo1ij/++INPnz7FWL9SzAuj03DUIGwTxOflHTeOLF9j6HAiJcjfnxXd+uPp/pqkaVPTft70WHcNs5WdLQ1GDqL7qoUkTZsaL493rOw1iLUDRuDzwdPQ4Yko8vf2CfsiprQcnRdCCCGE0BsTExOSJUvGxo0bY7RfKeZFtKpRrREzp60mVar0etlf/ppVyFm+DCHBwWwcMR5diFYv+41JPh88Wda1L37e3qTNm4sWU8ZgookdL8UcZUsycNcGijcOvSbo3NZdTKvXnNsupwwcmdCH0xu2ApC9bCkSpXQ0cDRCCCGEEOJXxI4KQsRJ9eq0ZEC/CeTPV4yhg6ai+cWCNV7SJNQb2g+AQwtX8ObBI32EaRBvnzxjVa/BhAQFkbtiWWoP6GXQeOwSJ6TV9PG0nzedBMmT8e7ZCxa268a2cVMJ8Pls0NiE/rx98ox7p8+j0WgoGQemSRRCCCGE+J1JMS+iRe2azejVYyQAISHBZMuam3p1Wv7SPhuNGYJNvHg8v3UHl1Xr9BGmQT2+cp2Nw8cDULpVE0q1bGKQOArUqsagXRvJW7Ui2pAQjq1cy4wGrXh0+ZpB4hHR69T6zQAUrlcLSxsbA0cjhBBCCCGiSop5oXc1qjWib+8xAGzcvIy580ML1g7t+pA8WdRO7S1UtwbZS5cgODCQTcPHo9Ma3+n133L9wBGcZ84HoPbAXuSqWDbG+k7o6MAfi2fTfNIobBPEx/3uff5s3oG9sxcSEhgYY3GImOV25gJvnzzD2t6OgrWrGTocIYQQQggRRVLMC72qVqUBA/pNAGDLtpUsXT6DPfu2cOPmJaytbendc1Sk95kgeTLqDOoDwIH5y/B4/FSPERve8dXrObNpOxqNhhZTxpA2b+5o7c9Eo6FUi8YM3LmeLCWKEhwYyN45C5nTvD3ud41jZgARdUqpsGvnSzZvhImJiYEjEkIIIYQQUSHFvNCbyhXrhBXy23f+xaIlU4HQ4mHmnFEEBQVRrGg5ypWJ3NHAxmOHYm1vx9Mbrpz4K2ZHiIwpOyfP4rbLKcwtLWk/bxpJ0qSKln6SZ0hHz7+WUHdIXyxtbHh0+RozGrTi2Iq1RjmYoIiaS7v34e/tQ7J0achSooihwxFCCCGEEFEgxbzQiwrlajJ44BQ0Gg27/l7P/IUTw93+4sVj1m9cDECP7iOwt4/Y/OpFG9YJPXocEMimERNQOp3eY48NlE7HusGjeO56B9sE8em0aBZ2iRLqbf+m5uZU7tqBflvXkCZPTgI++7J13FQWte/O+2cv9NaPMA5B/v5c2OkMQKkWhhmrQQghhBBC/Bop5sUvK1emGkMHT0Oj0eC8Z1PYNfL/tXHzUp4+e0iihEno3GngT/eb0NGBWgN6ArBv7mLePX2u17hjmyD/AFb0GMD7Fy9JkiolHebPwMLa6pf3mzp3DvptWU2Vbh0xMzfntsspptVtxvmtu1BK6SFyYYzObNqOTqcja8miJEuXxtDhCCGEEELEWqtWrUIphVKKoKAgHj9+zNSpU7G0tDRoXFLMi19SumRlhg+dgampKfv2b2P23DHfLRCDg4OZOTt0hPsa1RqRJ3fh7+7XxMSEJmOHY2Vry6Mr1zi1bnN0hB/rfPb8yLKu/fD95EXqXNlpMXVslOegt7C2ps7gPvRcuxSHjOnx+eDJ2gEjWNlrEF4e7/QcuTA2ni9fcef4KSD02nkhhBBCCPF9+/fvx8HBgfTp09O3b186d+7M2LFjDRpTnCrmR48eHfaNyZd29+5dQ4cVZ5UoVoGRw2dhamrGwUM7mTF7xE+P9N66fZXdf28AoH/fcVhYfPvbrGKN65GpaEEC/fzZPHLSb3UE+f2zF6zsOYjgwEBylitNvaH9Ir2PzMUKM3Dnekq3bIJGo+HS7n1Mq9OM6wePRkPEwlidXLcFgIK1q2Mdz97A0QghhBBCxF6BgYF4eHjw8uVLdu/ezZEjR6hUqRLw7TpUKUWbNm2iNaY4VcwD3Lp1CwcHh7BWsmRJQ4cUJxUtUpbRI+dgZmbOkaPOTJs5LMIF97IVM3n33oNUKdPRqkXXr25PnNKJmv16ALB3zkI+vHip19iNwdPrN1k/ZAw6nY4STRtQtm2LCG1nEz8eTSeMpPPSP0nklAJP99cs7dyHTSPG4+flHc1RC2Pz6NJVXrk9wNLGmiL1ahk6HCGEEEL8hqysrGOmWVpjYa6f0+Jz5MhB8eLFCQoKAmDGjBnhatD+/fvj6+vL5cuX9dLf95hF694NICQkBA8PD0OHEacVLlSasaPmYW5uwTGXvUyeNhhdJAam8/X7zNz54xg/ZgFNG3fkmMs+njwNnRLNxMSEJhOGY2ljzYMLlzm7aXt03Y1Yz/XIcf6ePpe6g/tQq38PPr3x4PqBI99dP2+VCtQd2g/7xInQ6XScXr+V/fOWEOTvH4NRC2Nzav1WmowbRolmDTm5bjM6rcxqIIQQQoiYMW/ORnLmyB+jfbreukKvvs0jvV3NmjXx8fHBzMwMKysrtFotPXqEHoD09fXF19cXgCJFijBhwgTatGnD7du39Rr7f8W5Yj5Tpky4u7sTEBDAuXPnGDp0KC9eRH60bnv72H3K6Zf4YjrOvHmKMGLoLCwsLDhz7ihzF4zD1tYm0vu5cfMC584fo1jR8gweOInBwzqg0+ko0rguGQrkI9DXj71T/8TOzi4a7kXM+dU8Xd+9D4e0qSnapD7NJo4kxNePZ9ddw60TL2kSagzoSZZSxQB4+/gpf0+Zzctbd7E0M8Mylj+XYwNDvZ5igwcnz+L3yYtETikoULUS906eMXRI3/U758mYSJ6Mg+TJOEiejIPkKWJsbW3RaDRhDTDIpbQmJiZh/Udmm+PHj9OtWzdsbW3p06cPISEh7Nq1K9y+UqVKxa5du5g5cybbt2//YT9fHgdbW9uvnjsRfS6ZAHHmYuSqVatiZ2eHm5sbKVKkYPTo0Tg5OZEzZ04+f/4coX3Y29vj7S2nI3/LR08/XK+7o9MpkiS1JXsuRzQakyjvLzAgmIvnnqHV6siYOSm2ya1Y+9CVEKWjomM6cidKrsfojZdOKfa8eMBDb08sNaY0TZ+TxFbWKKVw/fiWk2+eE6TTojExoXASRwondcIsioPmid/TaY/nXHz3ipQ29jROn8PQ4QghhBAiDgoICODixYtMnTo13JnU+jr1PaKCggMjvc3o0aOxt7dnwIABQGhxv3HjRjZu3Mju3bsBsLKyYsWKFbx69YqBA38+c1fy5MkZPHgwhQsXxsrq2zNYxYsXDx8fn+/uI04dmT9w4EDY766urly4cIFnz57RuHFjVq5cGal9OTk5/fCBMzR7e3vc3d1jLM4c2fMzZuRcLC2tuHDpJFOnDyIkJOSX91utSgO6dh6K642nnPS7RdIcmXh08Qpj+lTWQ9SGp688mVlY0GbeVFLlysGfpw6yc/x0ynVqQ9p8uQF4eesuuyfP4t2TZ/oK/bcS06+n2MY+SWL67ljHSz8fMhfIy5sHjw0d0jf97nkyFpIn4yB5Mg6SJ+MgeYqYVKlSMWzYMO7evcuzZzH/mdXU1JTcuXNz8+ZNtJG8rNDT0xOdTse1a9fClo0ePZoZM2YwZcoUAgIC2L59O4GBgdSpUyfslPsfSZMmDS9evKBr165fnUn+5Tn1M3GqmP8vLy8v7t+/T8aMGSO9rY+Pj1G8GGMizpw5CjBq+GwsLa04f/EEo8Z0Jzg4WC/73rp9DaVKViFnjvwUSZCP295v2DBsnFE89pGhjzwt69afnmuXkjRtatotnAlAoJ8/++cu5vTGbahIjFsgvs1YXvf65uPjw43Dx8hXrRL569Zk86iJhg7ph37XPBkbyZNxkDwZB8mTcZA8/Zivry86nS6sGYpWq410/19Gp///7TZv3szUqVPp2rUr9vb2VKhQgcqVK2NjY4ONTehlyF5eXgQEBHxzn18eB19f3yg/b+L0ubi2trZkyJCB169fGzoUo5U9W16mTlqGtbUtl66cZtSYHnor5CH0hbFyy0J0KBIEWvBkhwufPN7qbf9xie8nL5Z17YfPB08A3M5eYEb9Fpxav0UKefHLTq0PnaYuX/VK2CZMYNhghBBCCCFiOa1Wy/z58xk0aBDVq1fH3t6ec+fO8ebNm7DWpEmTaI0hTh2Znz59Os7Ozjx79gxHR0fGjh2LVqtl48aNhg7NKGXLmptpk1dgY2PL1WvnGDGqG8HBQXrtQ2NqSqnubfCwDSCFrzXVC1dns918Pn+WcQu+5cNLd2Y3aUuSVCl5dPnazzcQIoKe3bjFc9c7pM6VnWKN6nJk6WpDhySEEEIIESu0a9fum8unTp3K1KlTYziaf8WpI/MpU6Zk48aNuLm5sWXLFj58+EDRokV5//69oUMzOpkz52Ta5BXY2tpx/cYFho3sQlBQ5AeL+JmybVuQJncOHus8ePnqGYkSJaVzxwF67ycu8fJ4J4W8iBan1m8GoHiT+piaxanveoUQQggh4pw4Vcw3a9YMJycnrKysSJUqFc2aNePx49g5kFNsljFDNmZMWYmdXTxuul5m6IguBAZ++1qPX+GQKQNVuncEYOeU2UybPhSAmjWakCd3Ib33J4T4sRsHjx3cLHkAAJl2SURBVOH19h3xkyUld+Xyhg5HCCGEEEL8QJwq5sWvy5A+CzOmrcLePj63bl9lyPA/CAjw03s/GjNTmk4YgZm5ObdcTnJlzwFcb13Bec8mAPr1Hoe5uYXe+xVCfJ82JISzW3YCUKp5IwNHI4QQQgghfkSKeREmbdpMzJi6mvjxEnL37g0GD+uIv//Pp1WIivIdWpMqe1Z8P3mxbey/15ksWT6DDx/ekjp1elo27xItfQshvu/81l2EBAWRJk9OUufKbuhwhBBCCCHEd0gxLwBInTo9M6etJkGCRLjdv8XAoR3w84ueQt4xSyYqd24PwM5JM8NGZwfw9fVh7oIJADRr0om0aSI/raAQIuo+e37k6r5DAJRqGb0jsAohhBDi96GUAsBMxuUB/n0cvjwuUSHFvCBVynTMmraGRAmTcP/BbQYOaY+vb/TMkWlqZkaziSMxNTfjxqFjXNt/+Kt1Tp46yJmzRzE3t6B/3/GYmJhESyxCiG87vX4rAHkqlSdesqQGjkYIIYQQccGHDx8AyJo1q4EjiR2+PA6/Mli7fC3ym3NySsOsGX+ROHEyHj26x8DB7fHx8Yq2/ip2bodjlkx89vzIjokzvrven/PHkS9vUXLmyE/tms3Y7bwh2mISQoTnfu8+j65cI0OBfBRvUo8D85YaOiQhhBBCGDlfX1+OHz9O48aNAbh37x4hISEx1r9GoyF58uSkSZMGnU4XY/3+l5mZGVmzZqVx48YcP34cP7+oj08mxfxvLIVDSmZNW0OSxMl48uQ+/Qe3xdvnU7T1lzJ7Fip0bA3A9okz+Oz58bvrvnv3hmUrZ9K7xyg6dejPmXNHef/eI9piE0KEd2rdFjIUyEexhnU5smQ1IUFBhg5JCCGEEEZu1apVADRpEvOX8mk0GlKlSsWLFy8MWsx/cfz48bDHI6qkmP9NJU/uxKwZf5EsWQqePntI/0Ft8fL6fnH9q0zNzWk6YSSmZmZc23+Ym4eO/XSbv503UrF8LXJkz0ev7iMZNbZHtMUnhAjvtsspPF+9JpFjCvJXr8zFXXsMHZIQQgghjJxSipUrV7Jp0yaSJEkSo5fT2tracuXKFbp27Yqvb/SMDRYRSinev3//S0fkv4h0MZ82bVpKlSpFmjRpsLGx4d27d1y7do1z584RGBj4ywGJ6JcsaQpmT/8Lh+ROPH/xhP6D2vLx04do7bNKt46kyJQB7/cffnh6/f/T6XTMnD2KpYt2UKpkJUqVrMSp019fYy+E0D+dVsuZjdup1b8HpVo2lmJeCCGEEHrj5+fH8+fPY7RPe3t7rKysePHiBT4+0TM+WEyL8AB4zZs358KFCzx69IipU6dSt25dSpUqRceOHTlw4AAeHh4sWLCA1KlTR2e84hclSZKcWTP+IkWKlLx0f0r/ga3x9HwXrX2mzpWdcu1aALBt3FT8vLwjvO2Tp/fZuHk5AL16jMLW1j5aYhRCfO3Cjr8J9PPHMUsmMhTMZ+hwhBBCCCHE/4lQMX/16lV69erF6tWrSZMmDY6OjhQsWJBSpUqRI0cO4sWLR506ddBoNFy+fJmGDRtGd9wiChInTsas6WtwckyN+6vn9B3Qmvcf3kZrn2aWljSdMBKNqSmXnfdz2+VUpPexdv1CXrx8QpLEyejUoX80RCmE+BZ/bx+uOO8HoGSLxgaORgghhBBC/L8IFfNDhgyhaNGiLFq0iJcvX351e1BQECdOnKBr165kzZqVx48f6z1Q8WsSJkzCrGlrSJUyHW/evKT/wDYxMqBcxU5tSJ4+LV5v37Fryuwo7SM4OIiZs0cBUKdWM3LmKKDPEIUQP3Bq/RYAcpYrRUJHBwNHI4QQQgghvohQMX/o0KEI79DT05OrV69GOSChfwkSJGLW9DWkTp0ej7ev6DuwDR5vX0V7vxpTU4o2rAPArqlz8PeO+rUpN25eZO/+0LmvB/Qbj7m5uV5iFEL82Nsnz3A7cx6NqSklmzUydDhCCCGEEOIfEb5m/gt7e/tvNjs7OymwYqF48RIyc9pq0qbJyLt3b+g3oDVv3nx9dkV0yFSkIPaJE+H78RO3jp345f0tXjoNT893pEmdgWZN/tBDhEKIiDi1PvSLtCL1a2FhbW3gaH4/9vbWDB/emLv3FrFn72jq1SuGmZmpocMSQgghhIFFupj/9OkTHz9+/Kp9+vQJf39/nj59ypgxY2J0mgHxbfHsEzBz2irSp8vC+w9v6TuwNa9ev4ix/vPXqALA9YNH0YVof3l/nz97M3/hRABaNOtC6tTpf3mfQoifu3f6HO+ePsc6nj0Fa1czdDi/DXt7a4YNa8yTpysYP6EVWbKkpHr1gmzfMYwXL1cxdWpbMmd2MnSYQgghhDCQSBfzbdu25dWrV0yaNIm6detSt25dJk2ahLu7O127dmXp0qX06tWLIUOGREe8IoLs7OIxfepKMmbIhqfnO/oNbIO7+7MY69/cypKcFUoDcHVvxC/T+BmXE/s5d94FCwsLBvSdIF8aCREDlFKc3hh6dL5Ui8byuotmdnbWDB3aiMdPljNhYisSJbLn7t0XtG83hymTt/L6tSfJkydk4KAG3HNbzPETk2ndujzW1paGDl0IIYQQMUxFph05ckQ1atToq+WNGjVSR44cUYBq2bKlunv3bqT2G1uavb29Ukope3t7g8cS1Thtbe3VovnblMthN7Vjy1mVJnWGGI8vb5UKaqbrOTVs/3a97ztZ0hRq399XlcthN1WrRhOD5yKqeZIWe5rk6efN0sZGTTh7WM10PaeylCgqeYqGZmdnrYYMaajevV+vdMpZ6ZSzunN3kWrWrIzSaDRh65mZmaratYuoXbtHqOCQXWHrfvy0SS1c2FXlzx/z7/m/U57iSpM8GUeTPBlHkzwZRzOmPEU01kgfmS9evDjXrl37avm1a9coVqwYAKdPn5b55g3ExsaWaZOXkzVLLry8PtJvUBuePX8U43F8OcX+2j79HZX/4u2716xYNQeAPzoNJHHiZHrvQwgRXqCfHxd37QGgVEuZpk6f7OysGTKkIU+eLmfS5DYkThyPe/de0qL5DHLm6M7GjSfQ6XRh64eEaPn77wvUrTOBNKnbM3zYXzx69Jr48W3p0rU6l6/M4crVOXTrVp0ECWwNeM+EEEIIEZ0iXcy/ePGCDh06fLW8Q4cOvHgRej124sSJ+fjx469HJyLF2tqWqZOWkz1bXry8P9J/UBuePn0Q43HYxI9H1pKhX+xc3XswWvrYuXsdd+/ewM7Wnl7dR0RLH0KI8E5v2IpOpyNbyWIkTStf2P4qW1srBg9uyOMn/xbxbm4vadni20X8t7x65cnkyVvJnKkzFcoPZ8OGEwQEBJEvXwbmL+iK+6s1/LW2H2XK5IyheyWEEEKImGIW2Q0GDBjA1q1bqVatGpcuXQKgYMGCZM2alYYNGwJQqFAhNm/erN9IxQ9ZWVkzecIScubIj4+PFwMHt+fRYzeDxJKncgVMzc1wv3cfj8dPo6UPnU7HjNkjWbJwO6VLVaFE8QqcOXs0WvoSQoTyfPmKOydOk7NcaUo2b8TOSTMNHZJRsrW1onv3GgwYWJ8kSeIBcP++O+PHbWLTppNotT8u4L9FKYWLy01cXG6SMKEdLVqUpWOnyuTOnY6WLcvRsmU5Hjx4xaqVh1m9+ihv3sgX7kIIIYSxi/SReWdnZ7Jmzcr+/ftJlCgRiRIlYv/+/WTNmpW9e/cCsHjxYvr376/3YMW3WVpaMWn8EvLkLsRnXx8GDunAg4d3DBZPvhqVAP0OfPctj5+4sXnrSgB69xiFjY2cTipEdDu1bgsAhepUx8rezsDRGBcbG0sGDqzP4yfLmTK1LUmSxOPBg1e0bjWLHNm7sX798SgV8v/18eNn5s/fQ948vShcqB9LlxzA29uPTJkcmTS5Dc9frGLnruHUrFkIU9NIfwwQQgghRCxi8Av8Y1MzloERvsSZOHESNWPqKuVy2E3t2XVFZcuWx6BxJUzhoGa6nlPTb5xR8ZMnjfb+LCws1drVB5XLYTfVu+cog+fle3mK7c+n371JniLXBuxYp2a6nlOlWzeVPEWg2dhYqgED6qk3HmvDBqtzu79EtWpVTpmaamIshjZtKqiTp6aGxaBTzuql+2o1YUIrlT69w2+fp9+tSZ6Mo0mejKNJnoyjGVOeom0APICSJUuydu1azpw5g6OjIwAtW7akRIkSUdmdiCKtVsewwTMokL84fn6+DB7Wkbt3bxg0pnzVQ4/KP758DS+Pd9HeX1BQILPmjAagds1m5MieL9r7FOJ3d2p96NH5ks0aYaKRI7vfY2NjSf/+9Xj8ZDnTprcnWbIEPHz4irZtZpM9W1fWrnXRy5H4iPDzC2TNmqOULjWY7Nm6MnPGTt6+/YSjY2KGDW/Mw0fLOHJ0As2alcHS0jxGYhJCCCHEr4n0p7D69etz8OBB/P39yZ8/P5aWofPaxo8fn2HDhuk9QPFtZmbm3L75mvz5iuHv78eQ4Z24feeaocMKG8X+ajSMYv89166fZ//B7Wg0Gvr3GYeZmXwQFSI6Xd17EN9PXiRO6UiOsiUNHU6sY21tSb9+dXn0eBnTZ4QW8Y8evaZd2zlky9qVv/46FmNF/Lfcu/eSgQNXkiplOxo2mMz+/VfQ6XSUL5+H9RsG4P5qDXPn/kHu3GkNFqMQQgihbylSpOKjp5+hw9CrSBfzI0aMoEuXLvzxxx8EBweHLT9z5gz58+fXa3Di+/r3GY/nB18CAwMYOqIzrreuGDokHDJlIEWmDIQEBXHzsEuM9r14yTQ+fvxAunSZadakU4z2LcTvJjggkPPbdgNQqoVMU/eFtbUlffvW4fGTZcyY2YHkyRPy6NFr2rcLLeLXrDlq0CL+v4KDQ9ix4yw1qo8hXdqOjBm9nmfP3pIokT09etbi+o15XLg4iz/+qIq9vbWhwxVCCCGiJEOGrIweMYdF87Zz4+pL0qXNbOiQ9CbSxXyWLFk4efLkV8u9vLxIkCCBPmISP2Fubk7BAiXRaEwYP6kvN25eNHRIABSoURmAu6fO4e/tE6N9e/t8Yv6iiQC0bN6VVCnTxWj/Qvxuzm7ajjYkhIyFC5AicwZDh2NQ1taW9OlTh0ePlzFzVkeSJ0/I48dv6ND+T7Jl7crq1UcJCdEaOswfevHiHePGbSJD+k5UqTyKLVtOExQUTKFCmVi8pDuvXv/FylV9KFEiu6FDFbGQpaU5jRqV5G/nUTx4uJS5c/8gTx75PyyEMKwc2fMxecISli/eTdky1dBoNCRNZsdL96eGDk1vIl3Mv3nzhowZM361vGTJkjx+/FgvQYkfCw4OZsDgNhQqmoabrpcMHQ4AJiYm5KseWsxH19zyP3PMZS8XLp7EwsKC/n3HYWJiYpA4hPgdfPJ4i+uR4wCUatHEsMEYiJWVBb171+bho6XMmt0RB4eEPHniQccOc8mapQurVh2J9UX8f+l0Og4fvkbTJlNJ6dSW/v2Wc+fOc2xtrWjbtgKnTk/lzt1F9O9fj6RJ4xs6XGFgRYtmYdGibrx6/RebtwymZs1CZMiQgh49a3Ht+lwuXppFly7ViB9fZpsRQsSc/PmKMWv6X8z/cxNFi5RFq9Vy1GUPPfs0IUduR4KDgwwdot5Eep75ZcuW8eeff9K+fXuUUjg6OlKsWDFmzJjB+PHjoyNG8Q3Pnj/C2sbC0GGESZc/DwlTOODv85k7J88aLI7Zc8ewatke8uQuTPWqDdm7f6vBYhEirju1bgt5q1Ykf43K7J29AN9PXoYOKUZYWVnQuXNVBg1uQIoUiQB4+tSDiRO2sGZN7D8KH1Hv33sze/ZuZs/eTdGiWejYsTJNmpYma9aUTJ/RnkmTW/P33xdZsfwQhw5dQ6eLPZcQiOiTOnVSWrUqR6vW5cmc2Sls+fPn71i31oUrVx7SpGlp6tYtQsGCmShYMBMzZ3Vg27azrFh+iJMnbxkwehEV5uZmWFtb/NMssba2wMrK4v+WhS7XaEw4evQG7997Gzpk8ZsqXux/7d11WBTrFwfw7xbdIKg0BqIoKnaB3d2d17zhtePa3V0/u7sudmF3ISpigSgq3bFsvL8/Fla5gALuMrtwPs/zPsDsxFnOzu6eeWfeaYQ+PYfDzc0DACCVSnDh4knsO/g/hIZ+gLGxMccRql6ei/mFCxeCz+fj8uXLMDAwwPXr1yEWi7F06VKsXbtWHTESLZAx8J3/5auQisWcxREWFoptO1Zi1IgpGD50Au7cu4roaPWPqk9IURTs54+Q5y/h4F4etbp0wOUtO7kOSa309HQwdGhzTJzUJUsRv2vXFUgkUo4jVJ+7dwNx924g/v57C7p3r49Bg5uiVq1y6Ny5Djp3roOPHyOwfdslbN9+CdHRKVyHS1TM0FAPnTvXQb/+jdCokYdyelJSKo4cuYXdu67A19cfjDEAwPHjd2BpaYI+fbwxaHBTVKzopDgA0Lch3rz5jO3bLmLnziv48iWaq6ektXR0hN8V0rrKYjpzcZ3d9MzT9H447/dFuwgCgSDX8SUlpWLd2lNYuvQ4FfWkQPD5fHg1aIHePYejlIsrAEAsTsXpM4dw8PA2hEd84ThC9eJBcY+6PBOJRChdujSMjIzw8uVLJCUlqTg0bhgbGyM+Ph4mJiZISCjY677zQpPiFAiFmHn1NAxMTbDxtz/x5i63p/7z+QKsX3MIrmXdcfXaWcyaO5qzWDQpTyRnlKf8q9qmOXovmInYsHDMa9EJcjX2SnOVJ11dEYYObYGJkzqjZElLAMCHD+GYN/cgdu5UfxFvZWkNV9eKKOVSDpGRYXj5yg8hIe847wl3d3fE4MFN0advQ1hamgBQnKZ/9epzNGrUD2XL1MHbtx85jZHk7Gf7E4/Hg7d3RfTr3widO9eBkdG3QRCvXPHDrp1XcPTobSQlpf50WzVqlMXgwU3Ro2cDGBsbAACkUhnOnHmIbVsv4syZh4XmjBZVcXd3RKtW1dC2XU3UrVsJSUkJ0NfXAZ/j24EmJ4uRkiJGaqoEKSlipKSkKZuVlQkqVHAAACQmpmDd2tNYtqxoFPX0PaLgCYUiNG3cDj17/KYcKyspKREnffbhyNEdiImNyrKMNuUpt7Hmu5gvrLQlyZoUZwXvehi0ZgniwiMwp2kHMA041bJUqXLYtO4oBAIhpkwbjjt3C3Z0/QyalCeSM8pT/glEIvxz4ThMrCyxe/w0PD13SW3bKug86eqK8Ntvip54W9tvRfz8eYewY8dltRTxhgZGcHV1RznXSopWrhKKWdlkmS8pKRGBr/3xMuApAl49Q0CAX7ZfXAqCrq4IHTrUwqDBTdG0aZVMj7169QnXrvrD1/cZrl17jrCwWE5iJFnltD+VKVMS/fs3Rp++DeHgUEw5/fXrUOzedQW7d/siJCR/Z7wZGOiia9d6GDykGerV+zaY4tevMdi18zK2br2IN28+5/9JaTF9fV00alQJrVtXQ8tW1eDoaP3TZTIK628FdUaRnZZpujg1LdM8KSlpSM122n8L9MzzisWSn8bUunV1zJjZE9WqlQHwrahfuvQ4oqIKb1FP3yMKjo6OLlq17IIe3YbAxrokACAuPgbHju/GsRO7kZiY8+tMm/Kk0mL+6NGjud5w586dcz2vJtKWJGtSnH2XzEHlFk1wbdd+/LtkNaexfG/okHHo2f03hId/wcDfWiM5ueDPHtGkPJGcUZ5+TbPhg9B81G8I9vPHmj5D1badgsqTrq4IQ4Y0w6TJXZVFfEhIBObPO4Tt2y+prIgXiUQo5VIO5cpVgptrJbi6VoSjQ9Y7A8hkMgQHv8HbdwGwti6Jcq7u0NfPOqDY5y8fEfDKDwEBfnj5yg9v377MdAvZguDsbINhw1tjwoQBkMtjsvQivnwZgmtXn+PqVX9cveqPiIiiMc6CJvp+fxII5OjevT769W+M2rXLKeeJjU3EwQM3sHPnZdy9G6jS7bu62mHQoCbo178RbGzMldOvX3+ObVsv4siRW0hO5u6yvYLg6GiN1q2roVXr6mjYsCL09XWVj6WkiOHr64/Ll/2xbNl2eFSqioiIaGWRnZam2Zf1tGlTHTNm9oKnp2LQ7MTEFKxdcwrLlp0olEU9fY9QP319Q7Rv2xNdOw+AhYXiQGNUVDgOHdmOf08dQGrqz+8fr015Umkxv23btm8L8Hjo2LEj4uLi8PDhQwCAp6cnzMzMcOzYMQwaNOjXo+eQtiRZU+LUNTTArKtnINLTxYruA/Hp5SvOYvkvXV09bP2fD2xLOuDY8V1Ys35egcegKXkiP0Z5+jVGluaYduEEhDo6WNlzMD4+f6mW7ag7T7q6Igwe3BSTJneFnZ0VAMUt2zKK+F/58szj8WBv74xyZSuiXDlFr3vpUuUgEmUdyPTzl4949eoZXr32x6tXz/Dm7Uukpn67Dp3PF8DZqTTcynmgvFtluJWrBCenMlnWk5aWhrfvXiLg1TNFD36AH758/ZTv55BbGXlycCiBypUd4O1dEd4NK8LDwzlLcf/iRQiu+j7D1av+uHbteZE4HVdTmJubISr6FU4cX4uWrapCV1cEQHH6+7lzj7F71xX8+++9XPXG/gqhUIA2bapj0OBmaNmyqvL67Li4JBzYfx1bt17Ew4dv1BpDQREKBahb1w2tWikK+IxT0jN8+BCOM6cf4vTpB/D19UdKiljrP5+KSlGv7XnSZMbGpujUoS86degLExMzAMDXr59w4NBWnDl3JE8j02tTntR2mv3ChQthYWGB4cOHK6/X4/P5WL9+PeLj4zFhwoRfCpxr2pJkTYnTs21L9Jo/HeFBH7CoXQ/O4siJZ9U6WLpoO+RyOX4f3QMBAX4Fun1NyRP5McrTr+sxdxqqt2+Fx6fPY++kmWrZhqryxBcIYGlvCxsXJ1g7O8KyhDWaVLdFJy8HWJoqesai4sQ4ceszrvqFQybngcfjgcdP/8njgcfnA7zMf/P4PPCg+F1fpAcrfXNY6ZnDUs8UFrqm0OGLssQilksQI4lHjCQRsbJExEgTIOHJwefxAR4U603fBmMMIc9e4NGpc3j/6KlysDEg4/T8isrivrxbZZiZWWTZXkxMFAJeKXruAwKe4lWgv8rPWsopT+bmRmjQwB3e3u7wblgp2/uQ+/sH46qvv7K4j46m/VHVPDyc0a9fI/Tu0xDW1t9uL+jnF4RdOy9j375rnF0OUbKkBQYMaIKBg5qgVKkSyunPngVh65aL2Lv3qta9JooVM0XLlp5o1bo6mjWrDDMzI+VjUqkMt28HKAv4Fy9CsixfWD6f2ratgRkze6FqVcXZRwkJycqiXttymp3Ckqe8KlnSAj17eqFtuxq4dPEp5s49qLJ1m5tboVvngWjXticMDBRno4V8DMK+A5tw6bIPZLK8H2DXpjyprZgPDw9HvXr18Pr160zTy5Yti9u3b8PKyipfAWsKbUmypsQ5dOMKuNathXPrNuPixm0/X4ADk8YvRPNmHfE+KBDDRnaGVFpwp51qSp7Ij1Gefp2tW1mMObQTMokUc5t3RHxEpMq3kdc86ejrwdrZUdFcnGDj7ARrFyfYOZeEtREfFroyWOpKUcY0DcYixcHpBAkf9yP08SJGDzLGy1VcAjkPBhIBDCRCGEqEMJAIoSPPOkiVHAzJIimSRFIki2RIEkmRJpArPonzKObLVzw5cwGPTp3H17fvs52nRHE7lHerjPJuHnAr54HSpd2ynAkgl8vx4cNbZe/9ywA/fAh5+0uD6+U2TxYWxvDyclf23Fes6JRlHj+/oPSe++e4fv05YmIS8x1XUWZtbYbevb3Qr3/j/xxE0cG6dSewZfM5+PkFcRbff/F4PHh5uWPwkGbo3LkO9PQUr1uxWILjx+9g29aLuHzZL9MBLU3B4/FQpYoLWreujlatq6F69TKZzkiJiIjD2bOPcPbMQ5w//xixsT8+mFbYPp+yK+rXrD6F5cu1u6gvbHn6EVNTQ3TuXAe9envB27ui8vUtl8tR0f13BAT82sCnNtYl0b3bYLRu2RU6OooD7G/fBWDPvo24cfNCgXw+aQK1FfPR0dEYMGAA/v3330zT27Vrhx07dsDCImtPgDbRliRrQpzGlhaYfvlf8AUCzG/VFVEf1X/6Zn6YmJhj59YzMDOzwJZty7F3/6YC27Ym5In8HOVJNUbt2AAXz8q4sHEbzq/brPL155QnIwvzzAW7syOsXRxha28DSz1petEuUxbvhqKsH3sRMSk4eD4QZ28GK06nZwBjcjDGwOQMTC4HA4MAAhQ3t0FJq5KwtbKDnZUtipllHahKLpfja9QXhIR9QMjXDwj58gFfIz9DJpOCAYr1ZaybyQHGIJczgLH07X6bR/GYHDr6+nBvWB8ezRpB3+TbvXJDX73G41Pn8fjsRcSH5zwwmUikg9Kl3VC+XGW4uVVC+XKVUaKEXZb5kpOT8CrQP9P19zExuT84k9/9ycrKRFnce3lXhLu7Y6bH5XI5/PyCcO3qc/j6PsONGy+yLYQMDAxhbm4FczNLmJlZpP9U/G5hbgUzMwuYmVnC3MwSPB4PW7Yth89p1fUmqZJQRweudWuiYmMvmFhZ/nT+72tboYCHSo4GqO1qggr2BhDwFUeNJDI5ngUn4d7bJJR0rYMLFy9D+n0P108K5J8V0Ewmhzg5GamJSUhNSkJqYhLESUlITUz+7vfMj6Wl5DwivpmZIXr18sKgwc2UBSAABAWFYcd2xe0QP31S/cHDvDAy0kfTppWVg9dl3Loyw+PH73Dm9AOcPv0QDx68yVMxUlg/n9q1q4kZM3uiSpXCUdQX1jxl0NERolWraujV2xtt2lRXHmADgBs3XkBHR4iaNV2xb9819Om9NF/bsLN1Qq+eQ9G0cTsIhYoz2Z6/eIy9+zbi7v1rKnke2pQntRXzy5YtQ79+/TB//nzcv38fAFCzZk1MmjQJu3fvxtixY38pcK5pS5I1Ic76vbuhw6S/8cHvOVb3+Y2TGHKrSeN2mDppCdLSxBg8tB0+hQYXyHY1IU/k5yhPqlGpaUP0Xz4fCVHRmNusI6Rpub+O7Wd4PB7sypTG1Yf3MGLcGJiWKK44Td7FEdZWxrDUlcFST1GwW+hKYakrg74w54+3Dx/CERDwEQEvP+Lx43c4cuRWlmuDM65zd0sfVb6cayWUcnH98XXugc8Q8Mofb99lvs5dlYQ6OnBrUAeebVrArUEdCEWKLz1yuRzv7j/Go9Pn4H/pKlITf376vLmZJdzcPJS99+VcKylPZ/ze16+f8DLAT3GKfoAf3rx9meN1iqran4oVM4WXlzsaNqyMevWrwMnRARKJAJI0AdLShEgT8/H1awqiIsVISeFBwNeHqamFsicnt+RyOeYuGAvfq2fyHasqCXV1Ua5uTXg0a4TyXvWgZ5Q1HzljKKEvRXlzMcqaiqEn+LYPfEkW4mWsLgLjdCGWcXt7s/+Sy2QQJyV/V+B/Oxgg/q7wt7fSQYvajmhWvzSMjRR5lsvl8L32Etu2X8KxwzchTi2YQfPKlrVVFu8NGlSAjs63y2gSE1Nw8eJTnDn9EGfOPMSXL9HZroMvFEAgFEIgFIIv+O53kVD5u7GpCW7euInaNWsiNiYGUnEapGmKJhGnacQdhH7Ff4v6+PhkrFntg+XLT2jVmTiF8XsEj8dD/foV0Lu3F7p0rQdz82+XiLx4EYK9e3yxf/91fPgQDg8PZzx5uhpyuRwVyo9CYGDuO/hKubiid8/h8GrQQtnL/+jxbezZtxFP/e6p9DlpU57UVszzeDyMGzcOf/31F0qUUFzP9OXLF6xatQrLli3j/L63v0pbkqwJcf61byscKpbH8QXLcXPfYU5iyIvFC7agerX6ePL0HsaM71cg29SEPJGfozypBl8gwOQzh2FRsgQO/DMHD07mvTgSiEQo5uSgvJ7dJr3H3drJARbGovQedqmycLfUlUFXkP3HmFwuR1BQGF6+/IiAlyF4+fIjXr78iFevPiExMWuhbWVlA7f0or2ca0W4lq0IQ0OjLPPFxkanF+3P8CrQH4Gv/REXF5Pn56oK+iYm8GjWEFXbNEcpz2+3hZOkivHi6g08Pn0er27ehUyau2sL+Xw+HBxKKYv78m4ecHIsk2XgOokkDW/fvUJA+q3xXgY8xecvilMrc7M/GRoaK3vJf9RzbmZmoRzwKC/S0lIQFR2J6OhIxMREITY2CjGx0ek/oxAbG42Y2Ci0a9MDHdv3gUSShklTh+Lxkzt53pYqCHV14VavFjyaNYKbV13oGX4r4GO/hsHvoi9CA17n2GtuU8wIrRq6onVDVzjafRsZ/mtEAs74vsYZ30B8CI3NtIy+nh42btqE4cOHIzX1x/eK5+XhUhC+QABdQ0PoGRpA18gQeoaG0DMyzPy7oQH00v/mpw94lxcCHkMZEzHczcWwN/p2EC5ZysPzSAEefpDiY3jGwYDk/5whkD49KRmMMWXRLBAJwRcKsxbXIiH4QgF0dUWo4GyOqmXM4VHKBDZmmQ8ahcdLEfAlDa++ShEcywC+YlmB8Nt6vy/YBSJhnp93dmRSqaK4F6dBmiaBJE2s/F1R8IshlUgU09J/l4jT55cofkq++z1j+rd5JIrl0iSQpKUpf1euO00CmQrumtG+fS3MmNkTlSu7ANC+or4wfY9wd3dE797e6NnLK9PtKT99isSB/dexd+/VbC/LOXZ8Kjp0qIXdu33Rv9/yn27Hzc0DfXoOR53ajZTTbt25gr37NiDg1TPVPJn/0KY8Fch95o2NFaf5ado/Y+TIkRg/fjyKFy8OPz8//PHHH3jw4EGultWWJHMdp5WDHSafPgyZVIrZTdohMYqbL7J5UaK4HbZtPgU9PX0sXjoFZ8/n/paL+cV1nkjuUJ5Up+HA3mgz5neEBrzG8m79c5xPz9hIUax/dy27tbMjrOxKwEyfB8v03nULZY+7FKIcOhMlEhnevAlHYOAXvHsbjqCgKHwMicbXrwng8QTQ1dWDnq6+4qee4qeurj50dXWhp6sPKysbuLpWhJVl1tPlU1KS8ebtS7wKfIZXr54hINAfXwtgRPj8MC9ZHFVbNUfVNs1RvNS366KTYuPw9NwlPD51HsF+/nler4GBIVzLVlQOrOfm5gEL86zj48TGRiPglR/eB73C7DkzMWniFOjrG8HC/FuxnlGgZ3d2w4/IZNLMxXhMNCTSJFha6sDRyRRu5a3h5GQKHR0ZRDoyCAQMMpkMjx69U15zf/PmyywHcfh8Pv6ZvAwNvVshOTkJo8f2wZu36rkbw3+J9HThVr8OKjVtiPJedaFrYKB8LObLVzy76Au/C1cQ8uxFtqe2GxrqoXPnOujbrxEaNvx23WpSUiqOHr2NXTsvw9fXP8fT4jXlfU9HX09R/BsZQtcgvcg3MlROUxwAMMj09/cHBopb6qOagwgVraQwEn3rUPqcLMSLGD0ExulAks0YFrlhKJTB2VgCZ+M0OBimQee74w4yOfApWYSgBB0EJeggNi3vByX+Sy6XQy6VQpbRJFIwuRwlSpRARGQkBDoiCEU6KjsQoEqSVDHSUlIQePsebh88hqAneS/GeDyesqf++6J+9ap/sWLFyTwV9fr6hjA2MoGRkQmMjIwVPw3TfxqZgMfjITk5EUnJiUhJTkJSchKSk5MyTUtOScr1OEuasj/ll52dFXr18kKv3l6oVOnb50dcXBKOHrmFPXuu4vr1Fz/stK1atRQePloJmUyG8m4j8ebN52znq1K5Fvr0Go6qVWoDULzur147i737N+F9kGpvgflf2pSnAinmNVG3bt2wa9cuDB8+HPfu3cPo0aPRtWtXuLq6IiIi52sJM2hLkrmOM+O+0q9u3sXmEX8X+Pbzq1uXQRgxbCLi42MxYHArxMRGqXV7XOeJ5A7lSXX0TUww/dJJ6OjrYf2gUYj/GgG7MmVQspQLijs5wdreDsVs7WBiagpjoRxGAgZjAYMBn0GPD+jyAMh5kMv5kMm++ynjQyoFGBMhPi4l/XcBBAJRngvDnMhkUgQFv0kv2p/h1St/BH94C7lcppL1FyTbcmVRtU1zVG3VDCbFvhXekR8/4fHpC3h8+jwigrOOnJ1bNja2mXrvy5SuAB2dvOUhMTE+Uy95bEaxHhOZpXBPSIz76bXaJUtaKAbTSx9Qr3Tpkpkel0plePjwjfKa+1u3ApCUlAqRSISF8zajapXaiI6JxB9/9VCeZaBqOvp6KFe/jqIHvn4d6BroKx+LDv2SXsBfRoh/9gcUeDwevL0rol//RujcuQ6MjL4tf+WKH3btvIJjx+5ke+bJfxW29z0dPV20bV8LAwY0RrPGlSASKYrr5JQ0XL4ThAt3QvDua2qmswIAKAtnuUwGuUyK0sUNUaWMGaq6WsLF1iTTNiJjknH3aShuPQrB/SchSEhM/ba8VJb+87ti/Pu/JYptKKbLMk3PmC+713h2eeILBBDqiCAQ6UCkqwOhrg6EIhFEurrK34W6uorH0n//No+O4m+RCEJdHcUyOjoQ6ogg1Mn4W/G7UFdHMe273xXzKH7+yOfXb3Hn0HE8OnUO4qSf3//7ezweD50718fkyb1RtqwTpFI+4uOlOHP6KW5cfwM+XzdLgW5sZALDjMLd0ER5i8NflZYmRlJSIpKTE5Gcoij2vxX93w4AyOVSLFmyGAMHDUB0dKRimZQkJCelHxxISdK4s5fNzAzRpUtd9OrtjQYNKigPCIrFEpw58xB791zF6dMPfnp7Sh6fDwMTYyTHxePEyX/Qtm0N7NhxGYMGrsw0X62a3ujTazgqlFecRSaVSnDx0r/Yd+B/dPlrNlRazJ89exYzZ87EvXs/vm7ByMgII0eORGJiItavX5/noFXh7t27ePDgAf744w8AijeEjx8/Ys2aNVi0aNFPl9eWJHMd5ySfgyjm5IB9k2fh0alzBb79/OLzBdiw9jDKlqmAK76nMWf+GLVuj+s8kdyhPP0aQwMjODuXhbNzWbg4l0UNr8awNrOGkBX8dbmpqSkQi1ORKk6BOFXxMy1NnO10sTgVYnEqEhLi8PrNS7Ve584VHp+PMjU9UbV1C1Rs4pXp9O2Q5y/x+NR5PDl38ZfPrhKJRCjlUg5u5TxQqVI1dOrYGUeOHEJ4RBhiY7M7zT0KEhWcmvsjdnZW6cW94lZ4Li7FMz0ukUjx5Ml7xMYmQSbjQ1fQGAK+BWTyeETHn4JUmgyZTK5s8u9+l8lkmR7LrkmlinnAF6CYsyNKlC0D61Iu4ItEigEOAcRHxeLDsxd47/cc4UEhOa4bABo39kCfvg3h6PjtDJLXr0Oxe9cV7N7ti5CQn3dYfK8wv+9ZW5uhX7+GGDykGVxdvw3y+PJlCLZvu4Rdu64gIiIOgOKWic2bV0Wr1tXQooUnrKy+FfByuRz37r1WDl739Gn2d45QJ03NE4/HgyD9gIBQRwSRji5MbaxRo2MbVGnZFLp6ehDIeZAlpeLtrQd4d/shJHGJMDLM3FNubGwKw/QC3Oi7n6o4SCuRpCEhMR6JCfFITIpHYmICEhPjkZiUAMYYDPQNYWBoBAN9QxgafPvdwMAIenr6P99AHqWkJCMlJQlJygMCmQ8OJGc8lvTtwEFSUiLi42MRFx+D+PhYiMU/viTmZ3R1RWjdujp69fZC69bVoav7bayHq1f9sW/vVRw5cguxsUkQ6enCxMoKxlaWMClmCWMrSxhbWaRP+/bTyMIcAqEQr+/cx6P/rcX9B8shlcpQznU4goPD0aBec/TuNQylS7kBAMTiVJw+exgHD21FeMSXX3o+eaWp+1N2VFrMDxo0CLNnz0ZcXBx8fHzw8OFDfP78GampqTA3N0f58uVRr149tGrVCqdPn8b48ePx8aN6jmr/iEgkQnJyMrp06YKTJ08qp+/YsQNmZmbo0KHDT9eR8Y+ztbXV6CQbGxsjNDSUkzhLupXF0K1rIUlNxZI23ZGWrF1ffku5lMPSRTshEAgwe95fePjoltq2xWWeSO5RnnJHIBDA1tYJTg6l4ehYCo4OpeHoWBo21iV/uiyfLwdfwCD47ieDDKmpKUhMSkJ8XAKiY2IRERGDqMgYpKYX2mJxKtLSxBCLU8Hn87Bj53Z07twJMTHRysfFaYqfEkmaRt6qSlOIdHXhWr82KjVvhNI1q4MvVPRcyaUyvHvwGP4XruDV9Vs/HFk8NzR1f7K3t0K9+m6oV6886tcvD0fHYpkeTxML8OShPVJTdGBknAoPz08QCjWrJw0AYmOTcOzoHezbfwMP7r/J93o0NU+qVquWK/r280bHjjVhaKgHQHEg5/z5p7CwMELNmmUhEHw78Bgbk4TLV57h/PknuHTRD1FR3P5vNDVPfL4AJUrYKT4HHErBwaEU7GydYGxsCiNDkzyfqZMdmUyKxMQEJCUnQCSUo4StMczMdCAUyiGXp+LhwwD4+j5BRKSiJzwxMR5JSYr5k5ISkZaW/8EQ+XwB9PUNYGBgCH19w/Qi3xD6egYwMDCCvr6BYnr64yYmpmjTuh1u374NHR29TMuo6uwxQFEIx8fHIiEhDvEJsZl/T4hDQnxs+u+Kx+LjYyGRpKFePTd0714X7drVgKnZt4O67z5E4/qTL3jwNhFioSGMLBXFubGVBXQN8zL4psL2kWOx9J+WaNKkMk4cDUVKkjPs7JwAAMkpSTh77ghO/rsXsXHZDwqpbpq6P2UnI1aVnWavo6ODrl27onv37qhXrx5MTU0BKG5R8vLlS5w/fx5bt27Fq1evVPIE8qNEiRL4/Pkzateujbt37yqnL1q0CF5eXqhVq9ZP15FRzJOcXf0SjMdRX+FqaonW9mW4Didf3r6OwKeQGOjqCVG9lhOEQs0a2ZcQLjHGIBZLkZQoRlJiGhITxUhKFCM5KS3Hu1bp6gphaKQDQyNdGBrFwNAoGLq6UvAFDHy+ADyeMQAjAN//1AMvPzdZJ78sWSpBYFwUXsVG4kvKt+tQhTw+SptYwM3MCo5GpuDnZeQzLcOQDCAWgByKr0IMKclyPHmQBokEMLPgoWJlPhRnnrIfNMXjMrkc8ZJUxKWlIEmaBoCBB8Xgcbp8Pkx0dGAkEkGPLwB4Oa9HEU922zQEYAfABjyo5hTiooRBAuAzgI9Q5P17xgCs05s5eKDvBBkYYxCnSpGUJEZiYpryc0HxefDzEoIv4EHKZ0hlUsj4DFIeAwSAub4+ihsZwUhXB0KRAEIh/9tPIR9CoQACAQ+8796DGBiArwBeA8goboQAnAE4gwfVFc2qJJfLIZUyyKQyyGRMedaOVCqHTCrP9LtUlnmaVCqHVCKDRCL72V0jc8Tjy6EjkkEoUowpwhPIkSAHoqR8xMsBKZ9BypdDymfpOZJDzgPAU3wmGApFMBSJYCjUgYFQBKP0nxnTDIUi3An/BP+YcDgbmqG60AQfP8RAnKro9RcK+bBzMIetvZny8heSez8r5nM9gkZaWhr27t2LvXv3Klesr6+PqKgoSHM5Sq420fQjNlwdWeLx+RhzYi+MrSwxY+go9Lx19+cLaSBdXT2sXXkQNja2mDBuNrZs+/mom/mhTUcAi7KinCcDA8P0npXScHIqrexlMTIyyXb+5OREfAh5h+APb/Hhw1sEf3iDDyHvkJSk+L85OhbDvftLoK+vgymT9+DIkdsIC4tVSaxFOU/qZGFbEhWbN0Kl5o1haW+LV3GReBUXicToGDy/6ItnF67gc8DrXK9P2/NUyqUc5s3ZBEQbYv6cs1i6fGqORYuugQFc69dG+Yb1UbpmNQh1dQAoWlTIJ7zwvY6Xvjfw9fW7An0OuaHtefoV5cvbo2276oiMiMeFC0/x8SO396n/kYLMk5mpBRwcSil72h0dSsHB3gUGBlnv6gEoThsP+fgeISHv8CHkHT5+eo+Y2CgkJSUgMTEBqanJyn3HyMIcVdq2QLX2rWFa3BpBSATEEXh34xEeHDuF17fuQC7L3ZkwPB4PbdtWw8RJneHu7gDgDWJjn2LDhnPYsP4s4uLydo2+KqgrTwamJjC2soSRpQUsbYrDqkRJWBYrDnNLK5iamisuU9A3gp5QF0I5H7oADAAIGR8yiQCM8cDkfIjFfIjFokzrNk1v2ZFI0jL17n9OSD8DIP3vhMS4b2cFxMdC39IME1dvhFE48FaeCEAEkY4UYeEPMGLkRKSkFnxOsqNN73sZsf5MoRoAT5Wn2Wv6tRRcxVm2dnUM+99qJMXGYVbDNrm+3ZEmql6tHhYv2Aq5XI5Rf3bDq8C8j/L8M9ryeirqikKeBAIh7O2d4eJcFi7OrnBJv8a9uI1ttvNLpRJ8/BiE98Gv8f59IN4HvUZQ0GuEhWc/Om2GEyf/Qbt2NXHlih+aNP5Hpc+hKOSJa/bu5eHZpjkqt2gCY0sL5fTwoA94dPo8Hp8+j+hPP34NFIY8eVatgwVzN0Ek0sGx47uwZv085WN6xkao4FUPHs0awbVuzUwDgYUHfYDfxSvwO38FX16/5SL0XCsMeSoK1JEnQwMjODmVgXN6c3IqC2enMjA3t8x2fokkDSEfgxAc/BpBwW8UnwfBbxAWFprnS5t4fD7c6tdBne4d4Vq3lnLQtdiwcNw7chJ3j/6L+IjcHVzh8Xjo2LE2ZszsiYoVnRTriU3EqpX/YuXKfxEXl5Sn2H6FqvKkZ2SI0jWqoWzt6nCtUxNWDnY/XUZXIEdZEzFcTVJgb/ztgIg4TY57z8Jw5UYwHj0MgTxVBqGcB12BCMZGZjA1MYOpqTlMTMxhamIGE1NzmJqY//IlEgniRPhe3IvFyxpBLpegTOmheR7TQ1206X2vyI5mf/fuXdy/fx9//vknAMWOHhISgrVr19IAeCrQY+4/qN6+NW4fPIajc5cU2HbVZcrEJWjapB3evXuFYaM6QyZT7cEJbXk9FXWFLU/FihVHKWfX9AHpFD8d7J1zvG4vLPwzgoJeKwv290GvEfLxfa5vyZOhTZvq+NdnOtLSJKjs8SdevVLtLdwKW540GV8oQNnaNeDZpgXcGzaAjr6e8rGgJ8/w+PR5+J2/jKTYuCzLFpY8NfRuhelTVwAAtu9Zi5cx7+DRrBHK1qkBoehbD1fY+2D4XbgCvwtX8PWN5vXA56Sw5Kmw+5U86ejowsHeRXHw1qksnJwVxXtO45zI5XJ8/hKC90GvERz8BkFBbxAU/BqfQj+o/PsRAFjYlUTtLu1Ro2NbGFmYA1DcXeCF7w3cPnQcb+89zNXBAh6Ph06damP6jMxF/coVJ7FqlU+BFPX5zRNfIIBDxQrK4t3e3Q0CYeYTpxOiopEQGYWEyCjER0YjITISqXFxqFLKBM3quaBB7TLQ0VEsI5fL0weyu4ajR2/n67nr6RnA1NT8W7FvrPipKPzNYGqS/jO9+Dc1NYeOji6+hIdCXNoUEcIkzG3ZGUf2/okmTSpj08azGDGCm4HR/0ub3veKbDHfrVs37Ny5E8OGDcP9+/cxevRodOvWDeXKlUN4ePhPl9eWJHMRp1BXF7OunoaekSHW9h+OoMd+BbJddTI1NcfObWdhamKO/21Ziv0HN6t0/dryeirqtDVPilHkXdN727+NJp/TKfKJSQn/KdoDERT8BomJvz5OiL6+Lp6/WAdnZxssWngEkyfv/OV1/pe25knb6RoYwL1RA3i2aY4ytaqDn37LJ5lEilc37+DR6fN4cfUmpGLFYFOFJU/6JsYYNnoq2tfvCAD4YJKIKIM0AMDXd0F4llHAvy34Ec5VobDkqbDLTZ74fAHs7BzhnN7DntHbblvSIcdbtIWHf0FQ8BsEBb9R9rh/CHn3y6Ol54dAJEKlpg1Rp1tHuHhWVk6PCA7B7cPH8fDkGSTH/fxzisuiPi/7k6W9HVzr1EDZ2jVQuoYn9I0zX8YQHvQBgbfv4fWdB3j34DHEyYpT1Pl8Pho2rIhevb3RuXMdmJgYKJd5+vQ99u65igMHriM0VL23Xc6Ojo4u0tLEGLVjA1w8K+PKtt2Ie3AV128sQlqaBKVLDcWnT9xfzqJN73tFtpgHgFGjRmH8+PEoXrw4nj59ij///BP379/P1bLakmQu4qzUrBH6L5uH6M9fML9F50IzanTzph0wacIiiMWpGDysHUJDP6hs3dryeirqtCFPfD4fFd09Ub1aPWVv+49OkQ/5+F5ZuOf2FPlfMWdOH0z9pztCQiJQ3m0EkpPzP4pwTrQhT4WdsZUlqrRsiqptmsO+fDnl9NTEJDy76IvHp88j7NUbxMXGamWe9E1MULFRA1Rq3ghla1aHQCREyQR9FE/Sh5wxHL1zFEd3bkbY+2CuQ/1ltD9ph+/zlJiYCGvrksqC3cXZFc5OZWBv75LjqdFx8TEISj8tPij4jfL3jHFONE3xMqVQp1tHeLZpAT0jxWjqErEYT89dxu1DxxDy7MVP16G4T30dTJ/RE+7ujgCAmJiMov5fxMer/vrtH+1P+ibGKFOzGsrWVhTwlnaZz4xIionF67sP8PrOA7y+cx+xX8MyPV6lSin07u2FHj0boGTJb5dCfPgQjn17r2Lv3mt4+TJE5c8pP8p71cPgtUuQkpCIOU3b44zPVDRsWAnr153G779v5Do8rXrfK9LF/K/QliRzEefAVQvh3sgLl7fswplVGwpkmwVlycJtqOZZFzKZFB8/BuFdUOC3Quh9YL6LIG15PRV1mpqnjALeq0ELNKjXDJaW1lnm+e8p8u/eB+Ljp6A8nyL/K8qUKYln/muhqytC507zcfz4HbVsR1PzVFRZOzuiapvm8GzdAha2JZTT4yMiUatMOezavgMpycmQSaSQSaWQSSSQSiSZ/lZMk0IulX57TCL5bv7vH5PkuC4mz/8t5AzNTOHeqAE8mjVC6RrVIBB9O8X18+u38LtwBXVLVoV3nWYQi1MxdsIAvHj55Jf+d5qA9ifNJxLpoFmTdli6dA2uXb0FezsXGBhkf7uwlJSk7wp2xenxQcFvEBPDfW9ofujo66Nqm+ao060jbMuVVU7/9DIQdw4fx+PTF5CW8uNbI/N4PHTpUhfTZ/REhQoOAL4V9fv2XQNjDEKhIL1ljKDP/27a93/zs5n2bVkDQwMsW7YEU6dMgZzJYWVXAtZO9rB2sIOZtRUEfB54PKa4TwKTIzEqCokRkUiMikRaYhIE2W6fDweHYnB1/XbdfHR0Ag4fuom9e6/i1q0AjetY4/F4GH9iH2xcnOCzdA1Y8DP4Xl0AsViCUi5D8PkzN7eky6BN73tqL+ZFIhGsra2VA1dk4OL+8qqkLUku6Dj1TUww8+opCEUiLOnYW2tPK8xJieJ2WDh/CxzsnbN9/PvTk78NBhaIpOTEbOfPoC2vp6JOk/LE5/PhXqEqvBq0gFf95pkK+ISEONy+cwUvA/zSByB6rRG9K+fOz0azZlVw5sxDtGk9S23b0aQ8kW94PB6cKldE1TYtULl5YxiYZn+ZhzrJZbKfHDRQHBDIdNBAKoWuoQGcq1TKdI3q58A3ymvgI4IVvV0CgRBzZ61DrZreiI+PxZ9/98KHEO25Pj47tD9pLifH0mjdqhuaNmkHUxPzTI9JJGkICXmfXrh/63HPz2B02sKhUgXU6dYJlVs0hkhXFwCQkpCIR6fO4fbBYwh7F/TD5bMr6rVJSooYPj4PsG/vVZw9+wgSiWYPPl2jQxt0nzMVsWHhmN+iMy5fnoMGDdyxZrUP/vrrf5zGpk3ve2or5kuXLo1t27ahTp06mVfE46Uf4cr13e40krYkuaDjrNWlPbrOmITPgW+wrEs/tW+PK1ZWNijl4gpnZ1flAGI/Gjjsa1go3r8PRFCwokc0KOg1Pn4KVg4Uoy2vp6KO6zzxeDy4V6gKb6+WaFC/Oaz+U8DfvHUJV6+fw+Mndwq0xz03unSpi0OHJyE1NQ3uFUbh/fuvatsW13kiPycQiVCliTfW7dyOOXPnQsrkEAiFEIhEEIpE6b8r/hYIhRCKROCLhBAKRZmmC0SKxwT/WUYoEoEvFGQZIOpXhQa8VhTwF68g8kP2nRJ6evpYumg7KpSvgvDwL/h9dA9ERKjv9a5utD9pFj09fXh7tUTrll3hXqGqcnpExFdUreaG3/8YhpcBfggNDVHLYHTawMDUBNXbt0btbh1RzNFeOf3doye4c/A4nl26Cpkk589IPp+PLl3qYNLkrnB1tYVEIoNUKvvuvu+y9Hu7/3eaTPlYxjQGHnSNjaFvYgoDczMI9fQgZzzIGSAHkJYqRszXCER9/orIT1+QHJ+YZX0/36YcSUmp8PV9hoSEH5+FoEkEIhGmnjsKU+ti2D91DkwSP+HS5XlITU2Di/MQfP0aw1ls2vS+p7Zi/ubNm5BKpVi4cCG+fPmS5Sjgs2fP8hWwptCWJBd0nCO2rUPp6lVxasU6+G7bo/btaRKhUAR7u/Rberm4Km/tZW1dItv509LSEPLxHd4HvUZoaDCWr1gMT8+K+BDy4yPHhDtc7PfKAr5BCzRo0CJTAZ+YGI8bty7i2vVzePRY8wr4DEZG+ngZsB52dlaYNXMfZs3ar9btacv7c1FXEHni8fnfivzvDxZ897dimhB84XcHBjLNrzgg8PbBE0R9zN2dF0yMzbB65T44OpRCcPAb/DmmNxISso7orw1of9IMZctUQKuWXdG4URsYGRoDUIx7cvuuL06fOYzA136I1dIxKNSFx+OhTK1qqN2tEyp411Me3EuIisb946dw98gJRId+Uek2BSIRnCpXRNnaNeBapwZs3VwznZ0sFafBxcIKWxcvwzPfG/jy+m2hPVMiNxoO6oM2f4/ClzfvsLRTH9y4uQh165bHyhUnMWbMFs7i0qb3PbUV84mJifD09ERgYOCvxqiRtCXJBRmnmY01pl06CQCY07RDloE5iiojIxPlKOIu390GLKfr2eLiY/D+veL0/Ixr8oOC3yA1VXuOthZWBbU/8Xg8VChfFQ29WqB+/eYoZmWjfCwxMR43b1/C1WtnNbqA/96SJYMwdlxHvHv3BRXdf0dqappat6ct789FXWHPk3WxEli76gCKFSuO5y8eY9zEgZyMAP6rCnueNJmhgREaN2qL1q26omyZCsrpoaEfcPrsYZy7cFx5rTvl6cdMrIuhVud2qNW5PUxtigFQ3J7t1c07uH3wOF7dvJPvMTVsXJxQtk5NlK1dHaWqVYWugX6mxz+/fovXt+/j9Z37iHj9DlEREZSndHrGRph28QT0DA2xeeQY2Oul4vyF2UhJEcPFeQjCwmI5iUub9qfcxprn89RevnwJKyurQlvMawszM0MwFMyX/SqtmgIA3j18QoX8dxIT4/HM/yGe+T9UTuPxeLCxsVUW+GXLlkfzpm2QkJACUxNzVKlcE1Uq11TOL5fL8eXLxywD7n3+EgL5LwzoRDRHRgHv7dUCDXIo4K9dO4dHT25D8oPTAzVNhQoO+Gt0OwDAn39sUnshT4imCI/4gglThmD18r1wr1AV06auwPSZv0Mul3EdGtFwFcpXQetWXeHdoCX09RW3FUtLS8ONWxdw+sxhPPW7V6R7c/MjPjwCFzZsxaXNO1C+QT3U6d4RrnVqonyDuijfoC6iP3/B3SMncf+YDxKifjz4mpGFOcrUqq6453vtmsqDA8ptRUYpi/fXdx8gIfLbLeCMjY3V8vy0VWpCIu4eOQnv/r3QcEBvbBj8O+7efYVatcph3LhOGD9+G9chFhp57plv2LAh5s6diylTpsDf3z/Ll09NP8rxM9pwxEYoFCD0804UK1YCJUt0x9ev6h2pdOyRXSjpWgaHZy3E3SMn1bqtwibj9WRlVQwW5tbKU/WdncvCxalstqOTA0BqagqCP7xVjk4eFById+8DERfH3XVGhZmq93tFAV9FOYhdsWLFlY8lJsbj1u3Lih54LSvgv+d7dQG8vNxx7NhtdOm8oEC2qQ3vz6To5Mm9gieWLtoGXV09nDl7BEuWT+U6pDwpKnnimomxGZo2aY82rbrCyamMcnpw8BucOnMYFy+dRHxCbI7LU57yzsrBDrW7dkT1Dq1haGYKAJBJpPC/fBW3Dx7Du4eKu1EIdXTgXNVDWbzbupXNtB5JqhjvHz1B4O37CLxzH1/f5DzoJeUpKzMba0w5exQCkRArewxCBXsDnDk7E0lJqXBxHoKIiIK/REmb8qS2nvlLly4BAC5fvpxpemEZAE8bSKUyxMenoFixZPz+R2v8M3Wn2rZVvLQLSrqWgVQigd8FX7Vtp7BLSxPjzduXePP2ZabppqbmcHF2TW+KQt/JsTT09PRRzrUiyrlWzDR/dHQE3gUF4sWLJzhydMdPR9MnBYfH46G8W2V4e7XMWsAnJeBW+iB2jx7f0toCPkOfPg3h5eWOpKRU/D2au2vfCOHS8xePMGfeGMyasQatWnZBVHQEtu1YyXVYRAPweDxU9qiJ1q26on7dZsp7wKempsD32hmcPnO4UNzeUFNFhnyCz7I1OLv2f/Bo1gh1uneEk0dFVG7RBJVbNMHXd0GI+xoGF88qEOnpZlo2NOA1Au/cw+s7DxD02A/SNDrrLL9iw8Lx5OxFVGvXEt4De2P3uH/w4MEbVK9eBmPHdsCkSeqrX4qSPPfMN2jQ4IePX79+/Vfi4Zy2HLHp27cJdu76C0lJqShTeqjaRoZs+edwNPmtP577Xsf2PyeqZRuFWX5eT3w+HyVLOGTqxS/l7IoSJewzDbYSERmGtevm4vrNC+oKv8jI736fUcB7NWgB7wYtshTwt29fxtXr5/Dw0U2tL+AzmJoa4lXgBtjYmGPypJ1YtOhIgW1bW96fi7qilqdWLbtg/Jh5AIDVa+fg+EntGCS2qOWpIJibW6FFs45o3bIrbG0dldNfv3mB02cO4/IVnzwfhKc8qUZJ1zKo070TqrZuBl0DA+X0uLAIvL57H4G37+PN3QdIjM7f92nKU/aKlymF8cf2QC6TYWGb7qjlURI+p6YjMTEFzk5DEBUVX6DxaFOe1NYzr+3FemFx4sQ9AGYwNIzFrFm9MGzYOpVvg8fjoWqrZgCAx6epYCwocrkcn0KD8Sk0OFOhrqenDyfH0ihdyg3dug6CvZ0zZs1Yg1u3L2PV2tlafYskbcLj8eBWzgPeDVrAq0GLTHc1SExKwO07V3D12tlCVcB/b86c3rCxMUdAwEcsX36C63AI4dyZs0dgYV4MgweOxu8jpyImJgpXr5/lOixSQPh8Pqp51kPrVl1Rp1ZDCIUiAEBSUiIuXfHB6TOHspyVRwre58A3ODJ7EXyWrUHl5o0h0tPFm3uPfnqPevJrvr55h4Cbd+BWrza8+vfEsXlL8ejRW3h6lsaYMe0xdepurkPUennumQcAU1NTDB48GG5ubgCAFy9eYNu2bYiPL9ijK+qgLUdsjI2NERcfDOA2ZDIZPCr9iZcvQ1S6DecqlfD7rk1ITUzCDO/WkIrFKl1/UaCu15NIpIM+vUagZ/chEIl0kJychG07VuL4yT00cF4+/CxP3xfwDRo0h411SeVjSUmJuHXnMq5dP4cHD29CIim8p+RVqVIK9x8sg0AgQONGU+HrW7C3ItWW9+eirqjm6c/fp6Fj+z5IS0vDpKm/4cnTu1yH9ENFNU+qYl2sBFq26IyWLTpn+kx4/uIxTp89jKvXzqrkbjWUJ+1AecpZ6RqeGLF1LdJSUjG3eUc0ru+KEyf/QUJCMpydhiA6uuD+X9qUJ7X1zHt6euL8+fNISUnB/fv3AQBjxozB1KlT0axZMzx5QtcAFRQeLHDixD2071ATixYPQNs2s1W6/qqtmwMA/C9fpUJew0gkadi+cxWu+J7C2L/noKK7J34fORVNGrfDshXT8PZdANchFgpubt964P9bwN++cwVXr58t9AV8Bh6Ph3Xrh0MgEGDfvmsFXsgTounWrp8Hc3MreDdogTkz12H02D70XlzICARC1K7ljdatuqFGtfrKS9/i4mNw8dK/OH32MIKD33AcJSGa5e39R/j4IgD2FdxQt0dn/LthK54+fY/KlV0wenQ7TJ++l+sQtR7LS7t+/Trbtm0bEwgEymkCgYBt376dXbt2LU/r0sRmbGzMGGPM2NiY81hyE6dH5TJMnHacyZkPa9SoksrWLxAK2ewb59gy/zusbO0anD9fbW0F8Xri8XisTatuzOf4A+Z7MZBdOveCDR86genp6XP+/LWlfZ8nt3KV2IhhE9n+PVeY78VAZTt98jGbMnEJq1u7MROJdDiPuaDbkCHNmJz5sNi4g6x4cXPO88T1/4Ma5Sm7JhLpsOVLdjHfi4Hs6MGbrERxO85jojz9eitZwp4NGTSGHTlwI9PnwvIlu1jjhm3U+plAedKORnn6cavcvDFb5n+Hzb5+lon0dFnHjrWZnPmwmNgDzMzMkPL0a7HmbcXJycnM1dU1y3Q3NzeWlJTE+RMvKkn+Ps6VK39jcubDHj1eyXg8nkrW79agLlvmf4fN8D3F+N8duKGW/zype1vm5lZs2pTlyi8Z+3dfZjVrNOD8f6ANrVJFT/YmMJwd3Hc1SwE/ddJSVrdOY6ajo8t5nFw1S0sTFhG5l8mZD/vrr3acxaEt789FvRX1PBkaGLHNG08w34uBbM+OC8zczJLzmChPeW8ikYg1atiaLVu8M9PnwtGDN9lvg8cyW1tHyhM1ylMuG18gYFPOHmHL/O+wOt07MR6Px576rWZy5sNmzOhJefqFWL8NjZ1L8fHxcHBwyDLd3t5e4689KKzmzDmIuLgkVKlSCn36eKtknZ6tFQPfPT17CXKZTCXrJOoVExOJOfPHYNLU3/D16ycUL26HhfM2Y/rUFTA3t+I6PI3kXsETi+Zvwarl+/ApJAbWxUogOTkJl6/44J8ZI9Gxa23MWzgOt25fRlpa0b3UZMGCfrC0NIGfXxDWrj3FdTiEaLSk5ERMnPIbvnz5BFtbRyyc9z/o6xtyHRbJJUeHUhg5fDIOH7iBaVOWo2qVWpDL5bh3/zqmz/od3Xp5Y/PWZQgN/cB1qIRoDblMhmu7DgAAvPr3BHg8zJ1zEADw1+h2MDWl98hfkaejBKtWrWIhISGsW7duzM7OjtnZ2bHu3buzkJAQtmLFCs6PYvxq05YjNv+Nc8KEzkzOfNiHkG1MT+/XTvfSNTBgC+77smX+d5h9BTfOn6s2N65eT3p6+mz40Ans0rkXzPdiIPM5/oC1bd1dZWduaHur5lmXrVy2W9nTcuncC/bcL5Q1bdK2SPfAZ9dq1XJlcubD5MyH1anD7fuBtrw/F/VGeVI0W1tHduzQbeZ7MZAtWbiNCYUizmOiPGXf9PT0WfNmHdmalfsz9cIf3HuVDej3B7OxLkl5okZ5+sWmo6/HZl8/y5b532GVmjViPB6P+T9fx+TMh/3zT3fKU/5jzduKRSIRW7lyJUtNTWVSqZRJpVKWkpLCli9fznR0tP86Um1J8n/j1NPTYUHBW5mc+bBJk7r80ro927Rgy/zvsEmnDnH+PLW9cf16Kl3KjW1Ye0T5xWT1in3MybE05/8XLhqPx2N1azdm69ccVv4/LpzxZ2NHz2ZlSpfTiv2+oJtAwGePHq9kcubDtm79k/N4uN6fqFGe8trKlnVnZ/59zHwvBrJ/Ji/VqAOqlCewMqXLs9F/zGA+Jx5mOrg7e8ZaVrNGA8bn8zmPkfKkHY3ylLvWfOQQtsz/Dvtr/1YGgHXvXp/JmQ+LjNrHjI3VP9aTNuVJbcV8RtPX12fu7u7M3d2d6esXnoG2tCXJ2cXZu7e3coAqKyuTfK97yIblbJn/HdZsxGDOn6e2N014PfH5fNa5Yz92+uRjZQE7sP9fRWYQNz6fzxp6t2JbNv2r/LJ21ucpGzViCrOystGYPGli+/33NsoP2V95T1FVozxpR6M8ZW7VPOuyi2efM9+LgWzUiCmcx1OU82RibMbq1m7MRgybqBzXIKPt2XmR9eoxlFlYFOM8zqKeJ21slKfcNUNzM7bwwVW2zP8OK1WtCuPz+ezFy/VMznzY5MldKU/5iDXPt6bLkJKSgufPn+d3caIG+/Zdw+i/28PTszSmT++BP//8X57XYWRhjrK1qgMAHp8+r+oQCQfkcjmOHt+F6zcv4K/fp6Nuncbo12ckGnq3xIpVMzX+Xsj5JRSK0LRxO/Ts8Rvs7ZwBKG4pd+LfvThybAdiY6M5jlCz2diYYc7cPgCAqVN2ITIynuOICNFODx/dwsLFk/DPlGXo0qk/oqIjcODgZq7DKhKsrGzgUbE6KlashkrunnB2Lpvp8bS0NNy8dRGnzx7Ck6f3wBjjKFJCioakmFjcP3EKdXt0hvfA3nj38AnmzT2IPXvHYczYDliz5hQSE1O4DlOr5KqYP3r0KAYMGICEhAQcPXr0h/N27txZJYGRvGOMYfy4bbjiOx/DhrfEmjWn8ObN5zyto3KLxhAIhQjxf4nIkE9qipRwISLiK/6ZMRL16zXFH6Omwd7OGcuX7MS5C8ewYdNixMfHcB2iSujo6KJVi87o3m0IitvYAlDcA/jY8d04dmI3EhOpKM2NxUsGwdTUEA8evMHmzRe4DocQrXbZ9xTMzS0xasQUDBsyDjExkTh/4TjXYRU6drZOqFSpGiq5V0OlitVRooRdlnmCg9/g2fNH8Pd/iPsPbxaazz5CtMW1XQdQu1tHlG9QF8VLu+DAgRuYNr0HXF3tMHJkKyxe/ONak2SWq2I+Li5OebQyPj6ejlxqsKtX/eHjcx9t29bAgoX90aXzgjwtX7VVcwDUK1+Y3bh5EY8f38HgQX+jfdteaNGsE2rXbIj1GxfgwqWTXIeXb3p6BmjXpge6dRkIS0trAEB0dAQOHt4Gn9MHkZKSxHGE2sPLyx19+zaEXC7HyBHrIZfLuQ6JEK135NhOWFgUQ8/uv2H8mLmIi43G3fvXuA5La/H5fDg7l83U825hUSzTPDKZDG/evoS//0P4+T+A//PHVLwTwrGoj5/gf+kqPJo1gveAXjjwz1zMn3cIO3eNwdhxHbFu3WkkJaVyHabW4EFxvj1JZ2xsjPj4eJiYmGj0rfZ+FKebmz2e+a+BQCBAg/oTcfPmy1yt09LOFlPOHoFcJsPsxu2QEEWnIf8qTX89ubl5YOzoOSjl4goAePT4NlasnqlVt9wxMjJBpw590aljX5iamAMAvoaF4uChLThz7miubimn6XkqSEKhAE+erkaFCg7YsP4MRo3awHVISpQn7UB5+rFJ4xeiebOOSE1NwZgJ/REQ4MdJHNqWJ5FIBNeyFVHR3ROVKlaDu7snjAyNM82TliZGwCs/PPN/hGf+D/Di5VOtP5CrbXkqqihPeWPvXh6j92+FTCLFvJadkBgZhYBXG1C6dEmMH7cNy5ap58wlbcpTbmPN8zXzly9fRqdOnRAXF5dlgydOnEDjxo3zHi1RqYCAj9iy+QKGDW+JJUsHoXatcblarkr6veXf3HtIhXwRERDgh2EjO6Frl4EY0Pd3eFatg23/88Guvetx8NBWSKUSrkPMkZmZBbp0GoAO7XrD0NAIAPApNBj79v8PFy//q9Gxa7LRo9uhQgUHhIfHYurUXVyHQ0ihs2T5PzA1s0CtGl5YMHcT/vy7F0JC3nMdlsbR0zNAhfKVUaliNVSqWA1u5Tygq6uXaZ6kpEQ8f/EY/s8fwu/ZQwS+fgaJhN77CdF0H5+/xLuHT1CqWhXU790dp5avxfx5h7Bt+2iMG98R69efQUrKzztjSD565mUyGYoXL46IiIhM04sVK4bQ0FDo6OioMr4Cpy1HbH4Wp42NGd68/R+MjPTRo/siHDp086frnPjvAVg7O2L/1Dl4+O8ZdYRd5GjL6wkASpawx+i/ZqK6Zz0AQFDQayxbOR0vXj7hOLLMrKxs0L3rYLRp1Q16evoAgPdBgdizbyOuXT+Xr1PCtSlP6mRra4mAVxtgZKSPgQNWYufOy1yHlAnlSTtQnn5OT08fyxbvQHm3yggL/4zf/+qByMiwAo1B0/JkYmyGiu6eqFjRE5UqVkfZMuUhEGTuc4qJiYL/84d45q9o794HQi6XcRRxwdC0PJHsUZ7yzq1+HQxZvwypiUmY07Q9pKmpeBW4ES4uxTF2zBasWKH6Sz+1KU8q75mvWLGi8vfy5csjOvpbz61AIECLFi0QGhqaz3CJqoWFxWLxoqOYPacP5i/ojxMn7iItTZrj/HblXWHt7AhJqhj+l68WXKBEY3z+8hETJg1Gk0ZtMXL4ZDg7l8XaVQdw0mc/Nm9dhqQkbt/0ShS3Q68eQ9G8WUeIRIqDhgGvnmHvvo24ffcKjeWhAstXDIGRkT5u3nyJXbuucB0OIYVWamoKJv8zHGtW7IODgwsWz9+CP8f0LlIDdFpZ2aT3ulfPdqR5APj69ROePX+EZ88e4NnzR/j4kc5gIKSweHXzDr6+fY/ipV1Qu2sH+G7fiwXzD2Pzlj8wfkJnbNhwFqmpaVyHqfFyXcw/ffoUjDEwxnDlStYveSkpKfjjjz9UGhz5NcuXn8DwES3h4lIco0a1/uERrqqtFQPfvbh6A+Kk5IIKkWigS1d8cP/BDQz7bTxateyC9m17ol6dxlizfh6uXT9X4PE4OpRCr57D0Lhha2Uvjd+z+9izbyMePrpV4PEUVs2aVUHXrvUglcowauQGOjhCiJrFx8dgwuTBWLPqAJydy2Le7A0YP2lQrsb50EZ2tk7KU+YrVqyGkiXss8wT/OEt/P2/9byHR3zhIFJCSEFgjOHqjr3oMXca6vfujut7DmHXriuY+k83ODnZYOjQ5li92ofrMDVerot5Z2dn8Hg8vH//HjVq1Mh0mn1aWhrCw8NpxGMNk5wsxvRpe7Fl65+Y+k937NhxGTExiVnm4/H5qNyiCQDg8Rm6BRUB4hNisWT5VFy4dAJj/poNBwcXzJy2Cnfu+mLVmtkIC8/bLQ/zo3QpN/TpNRz16zUDn88HANx/cAN79m2A//NHat9+UaKrK8KatcMBAGtW+8DfP5jbgAgpIsLCP2Pi5CFYvWIvKlWshulTV2D6rD+0/tTxjJHmK7lXQ6VK1XMcaf7tu4D0wv0B/J8/QlwcjTRPSFHy+PQFtPxjOExtiqFq62Z4cOI0Fsw/jE3/+x0TJnbGpk3nIBbTOBg/kutiPiQkBIDilHqiPXbsuIy/RrdDxYpOmDq1G8aN25ZlntLVq8LUuhiS4+Lx6sYdDqIkmsrv2QMMGd4OvXoMQ68ew1C7VkNU9qiJ7TtX4ejx3Wr5wlmhfBX06T0CtWp4Kaddv3kBe/dvwuvXz1W+PQKMH98JZcqUxOfPUZg5cx/X4RBSpAQFv8bU6SOwZOE21K3TGH//NRPLVkzjOqxcMzQ0hoO9M+ztnOHg4IJSLuXgXqEqjIxMMs2XlpaGgFd+ymveX7x8guRk7R5pnhDya2RSKa7vOYi2Y3+Hd/9eeHjyDHbsuIyp/3SHg0MxDBnSDOvWneY6TI2W59HsM7i5ucHBwSHLgHc+PnQ6hCaRy+WYMH47zp6bhVG/t8HatacRHJx5kJ2MU+z9LlyBTJrzdfWkaJJIJNi5ey2uXD2DsaNnwaNSDYwcPhlNGrXFspXT8frNC5Vsp2qVWujTaySqVK4JQNFr43v1DPYe2ITg4Dcq2QbJysnJBpOndAUAjB2zFQkJKRxHREjR88z/IWbP+xuzpq9Bm1bdEB0dge07V3MdlhKfz0dxG1vY2zvDwd4F9nbOyt//2+OeISkpES9ePsEz/wd45v8QrwL9IZHQ9a+EkMzuHjmBpsMGonhpF5SrXwcB129h4YLDWL9hJCZO6oLNm8//cNyvoi7PxbyzszOOHz+OihUrgjEGHo8HAMrrK4XCfB8fIGpy/vxjXLjwBM2aVcG8+X3Ru9dS5WNCHR1UbOINAHh8+jxHERJt8PHje/w9rh9aNu+M4UMnoGxZd6xfcxjHTuzGth2rkJqav7EWatdqiD69hqO8W2UAgESShguXTmLfgf/h8+cQFT4Dkp1Vq4dCX18Xly/74eDBG1yHQ0iRdev2ZaxcPRNj/56Dfn1GITo6Eid9CvZMGUMDo28Fe0Zvu70LbG0doaOjm+NykVHhCAl5j4+fghAS8g7PXzzG23evtP5yAUKI+qUmJuHO4RNoOLA3Gg7sjYDrt7Bt20VMmdoNdnZWGDSoKTZuPMt1mBorz5X3qlWrEBQUhMaNGyMoKAg1atSApaUlli1bhnHjcnc/c1LwJozfhiZNVqFnTy+sXHESDx4oejrdGtSBvrERYr58RdBjP46jJJqOMYYz547gzl1fjBoxGY0btUXXzgPQoH4zrFozG3fu+uZqPXw+Hw3qNUefXsNRqlQ5AIBYnIrTZw7hwOGtiIj4qs6nQdK1bVsDbdvWQFqaBL+P2sh1OIQUeafOHIKFRTEM7P8n/vx9GmJio3D9hmoPtPP5fNhYl0TZshXw8UMMRgybjBLF7WBv5wxLS+scl0tLE+Pjp+D0gl1RuH/8GISPn97T6fKEkF9yY+9B1O/TDaWqVYFDxfII8X+JRQuPYM3a4Zg0uSu2br0IiYR657OT52K+du3aaNSoEaKioiCXyyGXy3Hr1i1MnjwZq1evRtWqVdURJ/lFz54FY+fOKxg4sAmWLB0Eb6/JAL6dYv/k7EUavZrkWkxsFOYuGIfzF09i9J8zULKEPebP2Yir189h7fp5iIoKz3Y5gUCIJo3bolf3oXBwcAEAJCcn4aTPPhw+sh0xsVEF+TSKNH19XaxaPRQAsGzpcQQGfuI4IkIIAOzasw4WFsXQvm1PTJ20FPHxsXjqdy/P6zEwMIS9nQscHFzSe9gVp8bb2Tope9nfvYlAy+adMy0XGRWOjx+DEPLx/befn4IQHv6ZBjomhKhFXFgEnpy5gOrtW8N7QG/sGjsVW7ZcwOQpXeHgUAwDBjTG5s10BnF28lzMCwQC5Y3rIyMjUbJkSbx+/RofPnyAq6urygMkqjN92h50714fDRq4o337Wrjg+wLlG9QBQKfYk/x58PAGBv3WBv37/o5uXQbCu0ELVPOsi81blsHn9AHlASKRSActm3dGz+5DULy4HQAgPj4Wx07sxrETu5GQEMfl0yiSpk5V3Prlw4dwzJt3iOtwCCHfWb12NszNLNCgfnPMmbUOo8f2wbt3r7LMx+fzYW1dUnkd+/eF+8962T9/+Yjq1Stj7bpVePc+ECEh7/HpUxCSkrPe9YYQQtTt6o59qN6+NSo28YalvR2iPn7C4kVHsXLVUEye0hXbt1+CVEqX7vxXnov558+fw8PDA8HBwbh37x4mTJiAtLQ0DB06FO/fv1dHjERFQkOjsGL5CUz9pzsWLuqPiGlnIdTRwZc37/Dl9TuuwyNaSixOxf+2LMXlKz4YO3oO3Nw88PdfM9GsaXus2zAf7hWqolvXwbBK/2IZHROJw0e246TPfqSk0KmZXChb1hbjxncEAIz+azOSkwvnfa0J0VZyuRxzF4zDYhMzVPaoiUXzNmPhkkkwM7NUXs/u8J9e9uxERYUj5GNQ+inx7xW/f3yPsPDPMDQ0RHx8PPbu36DspCGEEK58ffseL6/fQvkGdeHdvyeOzl2C//3vPCZN7gonJxv069cI27Zd5DpMjcMDkKdzq5s1awZDQ0McP34cpUqVwqlTp1C2bFlERUWhR48euHLlippCLRjGxsaIj4+HiYmJRn+45TdOY2N9vHn7P1hbm+HgnSh8NnbF6ZXrcWXrbjVGW3Rpy+tJVfh8Ptq17YkhA8fA0NAo02Ph4V9w4NAWnDl3BGJxKkcRZq+o5en8hdlo2rQKTp9+gLZtZnMdTq4VtTxpK8qT6hgaGGHV8r3KsUWyk5aWhk+hGdevBykL9o8ff9zLTnnSDpQn7UB5Ug2XalUwavt6SFLFmNu8IxKjY/D33+2xbPkQvH//FeVch/9S77w25SkvsbJfbebm5r+8Dk1pxsbGjDHGjI2NOY9FXXGOGNGKyZkPS5ScYmte3GLmJYpz/nwKa9OW15Oqm5WVDZs1Yw3zvRjI9uy4wFq17MKEQhHncVGewLp2rcfkzIclJR9hzs42nMdDeSp8jfKk2mZhUYxt3niCHTlwg61YuouN+WsW69KpP6tZowErUdyO8fl8ylMhbpQn7WiUJ9W1v/ZtZcv877Dmo35jAJiBgS77GrabyZkP69+/cZHJUx5izduKt27dyoyMjLJMNzAwYFu3buX8iRfgP05r4xQKBSz4814mZz7snN9ezp9LYW7a8npSV7OxLsn4fAHncVCeFM3ISJ99/LSDyZkPmzatB+fxUJ4KZ6M8aUejPGlHozxpR6M8qa5VataILfO/w2bfOMd09PUYADZuXEcmZz4s8PUmJhDk7wCmtuUpt7HykUf9+/eHvr5+lun6+vro169fXldHOCCVynD5PQ8A4FXOAHZ2VhxHRAqrsPDPdJ9hDTJzZk/Y2lri7dvPWLz4KNfhEEIIIYRk4n/pKiI/foKhmSmqd2gDANiw4SwiIuJQpkxJ9OzpxXGEmiXXxbyxsTFMTEzA4/FgbGycqZmZmaFVq1YID8/+dlQFJSgoCIyxTG3ixImcxqSJbFycEGvqhI8JAujqCDF7Th+uQyKEqJm7uyP+/KsdAOCP3zdBLJZwHBEhhBBCSGZMLse1nfsBAF79eoIvECApKRXLl50AAEz9pxv4/Dz3Rxdauf5PxMbGIjo6GowxvH79GjExMcoWGRmJbdu2Yd26deqMNVemTZuG4sWLK9uaNWu4DknjVGndDAAPO88qRrDv168hPDycuQ2KEKJWa9cNh1AowNGjt3H+/GOuwyGEEEIIydaDk6eRGB0DS7uSqNTEGwCwbt1pREXFw9XVDt271+c2QA2S62K+YcOGaNy4MXg8Hrp06YJGjRopW7169eDg4ID58+erM9ZcSUhIQFhYmLIlJydzHZLGqdqqGQDg2PaT2LfvGvh8PpYsHcRxVIQQdenbtyEaNHBHYmIK/h69metwCCGEEEJyJEkV49b+IwAA70GKM4gTE1OwYvlJAMA/07pT73y6XN9n/vr16wAAZ2dnfPz4EYwxtQX1KyZNmoRp06YhJCQE+/btw4oVKyCT5f2aXWNjYzVEpzoZ8eU1Tnv38rC0s4U4KRkhD59iwcd36Ny5Dpo0qYyOnerh0kU/dYRbZOU3T6RgFeY8mZkZYumywQCAxYuOIy5OrLXPszDnqTChPGkHypN2oDxpB8qT6vmdOo9Gg/vCvnw5VPKuj6BHT7Fjx1WMG9cJbm726Nu3MY4du5undWpTnnIbY57vMw8ApqamGDx4MNzc3AAAL168wLZt2xAfH5/XVanU33//jcePHyM6Ohp16tTBggULsH37dowdOzbX68i4p19hdflzEPyiw+BmZoWWdqUBAAwvAbwHYAygPni5P2GDEKLhGPwBfABgBKAB7d+EEEII0QoZdYuTkSk6OSnqTobXAF5DUbc0AA88LkNUu5/dZz7PxbynpyfOnz+PlJQU3L9/HwBQvXp16Ovro1mzZnjy5MkvBfxfCxYswKRJk344T7ly5RAYGJhl+sCBA7Fp0yYYGRkhLS0tV9vLKOZtbW1/+I/jmrGxMUJDQ/MUJ18gwNh/98PQ3Ay7/56Md/ceAVD03D31WwFzcyP88fv/sGvXVTVGXrTkJ0+k4BXWPFWu7Azfq3PA5/PRutUc3LwZwHVIv6Sw5qmwoTxpB8qTdqA8aQfKk3qYlyyOPw5uB18gwIa+wxD2LgimpgZ45r8KZmaG6Nd3JU6evJ/r9WlTnjJi/VkxD+TxnnfXr19n27ZtYwLBt3tHCwQCtn37dnbt2jWV32PPysqKubq6/rCJRKJsly1fvjxjjLGyZcsWuvsP5ifOcvVrs2X+d9jMq6cZX5D53t9//dWOyZkP+xS6gxka6nH+/ApL05bXU1FvhTFPPB6P3bm7lMmZD9u9Zyzn8VCeik6jPGlHozxpR6M8aUejPKmv9V0yhy3zv8N6zpuunDZzZi8mZz7sqd9qxuPxCmWe1Haf+WrVqmHRokWZrkOXyWRYvHgxqlWrltfV/VRkZCQCAwN/2CSS7G+xVLlyZchkMs5vmacpPFs3BwA8PXcJ8v+MI7B+/Rm8e/cFJUtaYuzYDhxERwhRpSFDmqFmTVfExSVh/LhtXIdDCCGEEJJnvtv3AgCqtGwKMxtrAMDKlScRH5+MSpWc0b59TS7D41yei/n4+Hg4ODhkmW5vb8/p6Qq1atXCX3/9hUqVKsHZ2Rm9evXCihUrsGfPHsTGxnIWl6bQ0ddHhYYNAACPT5/P8rhEIsWUybsAAOPGd0Lx4uYFGh8hRHWsrEywYGF/AMD0aXvx9WsMxxERQgghhOTdp5ev8ObeQwhEQtTv2x0AEBubhDWrfQAA06b34DI8zuW5mD948CC2bt2Kbt26wc7ODnZ2dujevTu2bNmC/fv3qyPGXBGLxejRoweuXbuGFy9eYOrUqVixYgWGDh3KWUyaxL1Rfega6CMy5BNC/F9mO8/hwzdx9+4rGBnpY9asXgUcISFEVRYu7A8LC2M8efIO69ef5jocQgghhJB8u7pD0Ttfq0t76BkbAQBWrDiJhIRkVKlSCm3b1uAyPM7l6fx9kUjEVq5cyVJTU5lUKmVSqZSlpKSw5cuXMx0dHc6vL/jVpi3XUuQ1zsHrlrJl/ndY81G//XC+OnXcmJz5MIn0BCtf3oHz56ntTVteT0W9FaY81a5djsmZD5MzH1arlivn8VCeil6jPGlHozxpR6M8aUejPKm/jTu2hy3zv8MaDe6rnDZ/fj8mZz7swcMVhS5PartmXiKRYPTo0TA3N0flypVRuXJlWFhYYMyYMeDz6ZZHmsjQ3AyudRTXk2R3iv33bt8OwNGjtyEQCLBw0YACiI4QoioCAR/r1o8AAGzbegF372a9ywchhBBCiLbJuHa+fu9uEIhEAIBly04gMTEFnp6l0aqV6sdu0wb5rr5TUlLw/PlzPH/+HDKZDH///TeCgoJUGRtRkcrNG0MgFOLjiwBEBIf8dP7Jk3ZAIpGiTZvqaNiwUgFESAhRhZEjW6NyZRdERcVj4sSdXIdDCCGEEKIST89eRGxYOEyKWcGzTQsAQFRUPDasPwMAmD6jJ5fhcSbXxbyOjg7mz5+PBw8e4NatW2jfvj0AYMCAAQgKCsLff/+NFStWqC1Qkn9V00exf3z6Qq7mf/v2CzZuOAsAWLJ0EHg8ntpiI4SoRvHi5pg9pzcAYMrkXYiKiuc4IkIIIYQQ1ZBJpbi+6wAAwHtAL2V9snTpcSQni1GjRlm0aOHJZYicyHUxP3v2bIwYMQLBwcFwcnLC4cOHsWnTJvz9998YM2YMnJycsHjxYnXGSvLBwq4knCpXhFwux5OzF3O93OzZBxAXl4SqVUuhd29v9QVICFGJJUsHwdTUEPfuBWLLltwduCOEEEII0RZ3j55ESkIibFycUN6rLgAgIiIOGzdk9M4XvZHtc13Md+3aFf369UPXrl3RrFkzCAQCCIVCeHh44ODBg5DL5eqMk+RTlZZNAQBv7z9CQmRUrpeLiorHgvmHAQBz5/WFnp6OWuIjhPw6b++K6N3bG3K5HKNGbgBjjOuQCCGEEEJUSpyUjDuHjwMAvAf0Vk5fsuQYUlLEqFWrHJo2rcJVeJzIdTFvZ2eHR48eAQBevHgBsVhMp9VrgW+n2P944LvsrF7tg5CQCDg4FMNff7VTdWiEEBUQiYRYu244AGDjhrN4/PgdxxERQgghhKjHjT2HIJVI4OJZGY4e7gCAsLBYbNp4DkDR653PdTEvEAiQlpam/FsqlSIxMVEtQRHVsC1XFsVLOUMiFsP/0tU8L5+amoapU3YBACZN7gIrKxMVR0gI+VWjR7dD+fIOCAuLwT//7OY6HEIIIYQQtYmPiMTjU4pOyv/2zqempqFu3fJo1KjoDOCd62Kex+Nhx44dOHr0KI4ePQo9PT1s3LhR+XdGI5ojo1f+5bVbSE1Mytc69u27hkeP3sLU1BDTpxetI12EaDo7Oyvl6K0Txm9HbGz+9nNCCCGEEG1xdYfiNnXujRrAytEeAPDlSzQ2/09R5E+bXnRGts91Mb9z506Eh4cjLi4OcXFx2LNnDz5//qz8O6MRzcDj85XXy+fnFPsMjDFMGL8dADBseEuUKVNSJfERQn7dipW/wdBQD9evP8fu3b5ch0MIIYQQonZh74Px4upN8Pl8ePfvpZy+ePFRiMUSeHm5w8vLncMIC44wtzMOGjRInXEQFXPxrAxTm2JIjo9HwI07v7QuX99nOHXqAdq0qY4FC/ujS+cFKoqSEJJfzZtXRefOdSCVyvD7qI1ch0MIIYQQUmB8t+9BBe96qNauJc6t+x8So2IQGhqFrVsuYOSo1pg2vQeuNf6H6zDVLtc980S7eKafYv/sgi9kEskvr2/ihO2QyWTo1KkO6tYt/8vrI4Tkn66uCGvWDgMArF71L54//8BxRIQQQgghBSfosR8++D2HSFcX9Xp2VU5ftOgo0tIkaNTIA/XqFf6ahYr5Qkioo4NKTRsC+LVT7L8XEPARW7co7lO/ZOlAlayTEJI/EyZ0RunSJREaGoWZM/dzHQ4hhBBCSIHzTb92vm6PztDR1wcAfPwYge3bLgEAphWB8b6omC+E3OrXhr6JMWLDwvH+0VOVrXfGjL1ITExBrVrl0LVrPZWtlxCSey4uxTF5iuII9Ji/tyAxMYXjiAghhBBCCt7zK9cR8eEjDExNUKNjG+X0hQuPQCKRomnTKqhduxyHEaofFfOFUJVWzQAAT85cBGNMZesNC4vFksXHAADzF/SDjk6uh1wghKjIqtVDoaeng4sXn+Dw4Ztch0MIIYQQwgkml+PaTsUZil79eoIvEAAAPnwIx84dlwEU/t55KuYLGT0jQ5T3qgtAdafYf2/ZsuP4/DkKpUqVwMiRrVW+fkJIzrp3r4/WrasjLU2CP37fxHU4hBBCCCGcevDvGSRERcPCtgQ8mjVSTl+w4DCkUhlatPBEjRplOYxQvaiYL2QqNWkIka4uvr59j8+Bb1S+/uRkMaZPU1yf8s+07jAzM1T5NgghWfXo0QC7do8BACxZfAyvX4dyHBEhhBBCCLekYjFu7j8CAGg4sI9yelBQGHbvugIAmD6j8N53nor5QqZq+ij2j09fUNs2duy4DH//YFhYGGPq1O5q2w4hRGHYsBbYs3csRCIhdu/2xaxZNOgdIYQQQggA3D5wFOLkFNi6lUWZWtWV0+fPV/TOt2pVDdWqleEwQvWhYr4QMbEuhlI1qgIAnpxVXzEvl8sxccIOAMDvf7SBk5ON2rZFSFE3aVIXbNg4Cnw+H+vWnsKA/isglcq4DosQQgghRCMkx8Xj/nEfAEDDAb2U09+9+4K9e68CKLzXzlMxX4hUbtEYfD4fQU+eITr0i1q3de7cI1y8+AS6uiLMm99XrdsipKhatGgA5i/oDwCYO+cA/vhjk0oHtSSEEEIIKQyu7z4AuUwG17q1UNL1Wy/8/HmHIJPJ0LZtDXh4OHEXoJpQMV+IfDvFXvUD32VnwvjtkMvl6NnTC9WrF85TVwjhAp/Px6ZNozB+QmcAwNgxWzB9+l6OoyKEEEII0UzRoV/gd14xgr33d73zb958xv791wEAEyZ24iQ2daJivpCwdnaEfflykEmkyheyuvn5BWHXLl8AwJKlgwpkm4QUdiKREHv3jcNvQ1tAJpNh8KBVWLHiJNdhEUIIIYRoNN8dio6Pyi2awLxEceX0eXMPQS6Xo02bamCI4yo8taBivpDI6JUPvH0PSbEF9yKd9s9upKSI0aCBO9q1q1lg2yWkMNLX18WJk/+ge/f6SEuToEf3xdi+/RLXYRFCCCGEaLzQgNd4ffcBBEIh6vf9Nkh3YOAnHDx4I/0v1d/ti0tUzBcSVVo1BQA8PqO+ge+yExoahRXLFb2GCxcNgFAoKNDtE1JYmJoa4vyF2WjZ0hNJSalo13YOjh69zXVYhBBCCCFa4+p2Re98rc7toG9irJye0TsPfIWjYzGOolM9KuYLAYdKFWBlbwdxcjJe+F4v8O0vWnQE4eGxKFfODr/91rzAt0+ItitWzBRXfOehXr3yiI1NRLOm03DhwhOuwyKEEEII0SqBt+/hc+Ab6BoYoE63b9fIv3wZgo0bzwPQhURSeO4KRMV8IeCZfor98yvXkZaSWuDbT0hIwayZivtez5jZE8bG+gUeAyHayt6+GK7fWIgqVUohLCwG3l6TcefOK67DIoQQQgjRShnXztfr3RVCHR3l9MmTdoOHpvj8OZqr0FSOinktxxcI4NG8MYCCG8U+O5s3n0dg4CdYW5th4sQunMVBiDYpW9YWN24ugqurHT58CEf9ehPx7Fkw12ERQgghhGitp+cuIebLV5hYWcKzbQuuw1ErKua1nEv1qjC2tEBCVDRe333AWRxSqQwTJ+wAAPw9pj1sbS05i4UQbVC5sguu31gIB4diCAj4iHp1J+Dt2y9ch0UIIYQQotXkUhmu7z4IAPDu3ws8Ho/jiNSHinktV7FZQwCA34UrkEu5vf7j33/v4fr159DX18WcuX05jYUQTVavXnn4Xp0Pa2szPHr0Fl4NJiE0NIrrsAghhBBCCoV7R/9FSnwCrJ0dUaFhfa7DURsq5rWYRC6DW4O6ALg9xf5748dtAwD069cQHh7OHEdTOLVs6Ynp03vA0tKE61BIPrRo4Ylz52fD1NQQ1649R+NGUxEZGc91WIQQQgghhYY4ORm3Dh4DAHgP6M1xNOpDxbwWexcfAx0DfUR+/IQPfs+5DgcA8ODBG+zffw18Ph+LlwzkOpxCp3//xvA5NR0zZ/VG4OuNGDmyFQQC2o21Rbdu9XDy339gYKCLU6ceoGWLGYiPT+Y6LEIIIYSQQufmvsOQpqXBuUolOFWuxHU4akFVgBYLiIsEADw5c5HjSDKbOmU3xGIJmjatgubNq3IdTqExcGATbN32J/h8Pr5+jYGFhTHWrhuBh49WokEDd67DIz8xZEgz7Ns/HiKREPv2XUOnjvOQmprGdViEEEIIIYVSQmQUHvmcAwA0HNiL42jUg4p5LWVgaoIPCXEANOcU+wzBwWFYu+YUAGDxkoHg8+ll9qsGD26Grdv+Ap/Px9o1PrC3G4CRI9YjKioeHh7OuHptAfbuG0cDD2qo8eM74X+b/wCfz8fGDWfQr+9ySDke44IQQgghpLC7unMfAKC8d31YOdpzHI3qUZWlpco3agA5GL4EvkF40Aeuw8li3ryDiI5OQMWKThgwoDHX4Wi1335rjs1b/gAArF71L/7883+QyeTYuPEsXMsOx4b1ZyCTydCzpxdeBW7E5Mldoasr4jhqkmH+/H5YtFhxycmC+YcwcuQGyOVyjqMihBBCCCn8woM+4LnvdfD5fNTu2ZnrcFSOinktValZIwDAswtXOI4ke7GxSZg7R3FLiNlzesPQUI/jiLTTsGEtsOl/vwMAVq44idGjN2d6PDo6AaNGbUD1amNw48YLGBrqYd78fnj+Yh3atKnORcgkHY/Hw/r1IzBpclcAwITx2zB16m6OoyKEEEIIKVp8t+0FAHi0aIIkSeG6xJGKeS3EFwrg4KG4Rvr5xavcBvMD69efxvv3X1GypCXOnJ0JCwtjrkPSKiNGtMKGjaMAAMuXHceYMVtynPfp0/fwajAJvXstRWhoFEqVKoF/fabj9JmZKFOmZEGFTNIJhQLs3jMWw0e0glwux9Df1mDp0uNch0UIIYQQUuQEP32G4Kf+EOro4En0V67DUSkq5rWQXCrD+TWb0NzWBQmRmntv6rQ0Kfr1XY7Y2ETUr18Bt24vhotLca7D0gqjRrXGuvUjAABLFh/FuPRb/v3M/v3XUM51OBYuOIy0NAlatvSE//O1WLiwP4yM9NUZMkmnp6eDY8enolcvL6SlSdCzxxJs2XKB67AIIYQQQoos3+2K3nm/qDDoGBSe78RUzGupO/uPooK5Nddh/NTt2wGoV3ciPnwIh6urHe7cXYqaNV25Dkuj/flnW6xZOxwAsGjhEUycuCNPyyclpWLKlF1wrzAKp08/gI6OCBMmdsGrwA3o3dtb9QETJWNjfZw9Nwtt2lRHcrIY7dvNxeHDN7kOixBCCCGkSHtx9QYigkMglstgaWfLdTgqxbShTZkyhd26dYslJSWxmJiYbOext7dnp06dYklJSSwsLIwtXryYCQSCPG3H2NiYMcaYsbEx58+5MMSZ0WxszNj9B8uZnPmwpOQjrGPH2pzHpIl5Gj26PZMzHyZnPmzevL4qiaFVq2os8PUm5Xpv3FzEqlQpxfn/RpOaKvYnKysT9uDhCiZnPiwm9gCrW7c858+rsDVte98rqo3ypB2N8qQdjfKkHY3ypB3Nvkxp9iYuSivylNvXlNb0zOvo6ODw4cPYsGFDto/z+XycPn0aOjo6qFOnDvr3748BAwZg9uzZBRwpyU5YWCwaek+Bj8996Ovr4vCRSRg9uj3XYWmUMWM6YPmKIQCAuXMOqGywtDNnHqKi+yhMnrQTiYkpqFu3PB48XI6NG0fB0tJEJdso6mxtLXHt+kJ4epZGeLjitX7r1kuuwyKEEEIIIeliv4ahtIkF12GoHOdHHvLS+vfvn23PfIsWLZhUKmXW1tbKacOGDWOxsbFMJBKp/CgI101b4vxv4/P5bM2aYcpe4tWrhzI+n895XFznady4jsr/ycyZvdQWj62tJdu9Z6xyW5FR+9jIka2YQFB4c6DKPGXXSpcuwd4HbWFy5sOCP2xjZcvacv58CmvT1ve9otYoT9rRKE/a0ShP2tEoT9rRtClPuY1ViEKidu3a8Pf3R3h4uHLa+fPnsXHjRlSoUAFPnz7N0/qMjTV75PWM+DQ9zuxMmbIPoaGxmDuvF37/oy1cSpXE4EFrkZws5jo0lctNnkaPbotZs3sCAObPP4Jly3zUltf4+DSMHPE/7N51DYuX9EelSk5Yu24Ehg1vhYkTduLWrVdq2a6my+/+5O7ugGPHJ8HGxgxv3nxGh/YL8OVLvFbul9pAm9/3ihLKk3agPGkHypN2oDxpB23KU25j5EFR1WuN/v37Y+XKlTA3N880fdOmTXB0dESLFi2U0/T19ZGcnIyWLVvi3LlzuVq/sbEx4uPjVRozyR7DFwBPAMgBmAKoDh6K1v3oGd4ACEz/qyx4KFuA22YAPqRvX5I+tSQAN/BQeEb5VBeGaAAPoPjfmQCoCR50uQ2KEEIIIYQUGiYmJkhISMjxcU575hcsWIBJkyb9cJ5y5cohMDDwh/Oog62t7Q//cVwzNjZGaGioxsf5M9VrlMGBA2NhZQV8+LAfXbssRmBgKNdhqcyP8jRufAdMm9YNADBn9kEsXXqSixBhbmGEf/7pioEDG0Mg+IykpPdYvuwk1qw5A7FY8vMVFAJ53Z8aN66EPXv/hoGBLm7ffoUe3ZciLi65ACIt2grL+15hR3nSDpQn7UB50g6UJ+2gTXnKiDU3OLsWwMrKirm6uv6w/fd695yumZ81axZ78uRJpmlOTk6MMcYqV65c6K6l0JY4c9NKlSrBXgVuZHLmw6Jj9jNv74qcx6TuPE2b1kN53fqkSV04jxMAq1zZhV27vlAZ15u3/2Nt2lTnPC4u85Rd69y5DksVH2Ny5sNOn5nJ9PV1OY+/qLTC9L5XmBvlSTsa5Uk7GuVJOxrlSTuaNuUpD7FyH2xe2s8GwCtWrJhy2m+//cZiY2OZjo5OoUuytsSZ22ZhYcyu31jE5MyHpYqPsT59GnIek7ryNGNGT2XBPH58J85j/G/r2dOLffy0Qxnj6TMzWZkyJTmPq6DzlF0bNKgpk0hPMDnzYfsPTGAikZDz2ItSK2zve4W1UZ60o1GetKNRnrSjUZ60o2lTngpdMW9vb888PDzYtGnTWHx8PPPw8GAeHh7M0NCQAYpR0p89e8bOnTvHKlWqxJo1a8bCwsLYvHnzCmWStSXOvDRdXRHbf2CCsoicNq0H5zGpOk+zZvVWPr+xYztyHl9OzchIn82f30/ZA50qPsYWLuzPjIz0OY+tIPKUXRszpoMyd5s2jSrUd2HQ1FYY3/cKY6M8aUejPGlHozxpR6M8aUfTpjwVumJ++/btLDteXl7KeRwcHNjp06dZUlISCw8PZ0uWLGECgaBQJllb4sxr4/F4bMGC/sqiaeu2v7S69/P7PM2Z00f5vP7+uz3nseWmlS5dgvmcmq6M+1PoDta7tzfncakzT9k9/n3uFi7sz3m8RbUV1ve9wtYoT9rRKE/a0ShP2tEoT9rRtClPha6Y18B/HMWpxjZ0aAvl6cznL8xmJiYGnMeU3zzJmZwtXTpEWQz+9Vc7zuPKa2vVqhoLfL1J+Rxu3FzEqlQpxXlcqsxTdvsTj8dja9YMUz7viRM1Y3yDotoK+/teYWmUJ+1olCftaJQn7WiUJ+1o2pQnKuYLeZK1Jc5faS1berL4hENMznzYM/+1zN6+GOcx5SdPcvZSWQz+8UdbzmPKb9PREbKJE7socyKVnWQbN45ilpYmnMemijz9d38SCgVs564xyuc6fHhLzuMs6q0ovO8VhkZ50o5GedKORnnSjkZ50o6mTXnKbax8EKKhzp59hAb1JyE0NAru7o64c3cJqlQpxXVYeTJnTi8A7wAAv4/agDVrfLgN6BekpUmxaNERuJUbgX37roHP52PosBYIfL0RI0e2gkBQeN5OdHVFOHJ0Mvr2bQiJRIo+vZdh48azXIdFCCGEEEKIUuH59k0KpadP36N2rXHw9w9GyZKWuHZ9AVq29OQ6rFxZtmww/vyrDQBg7JhtWL/+DMcRqUZoaBT69F6KBvUn4unT97CwMMbadSPw8NFKNGjgznV4v8zISB9nzs5Eu3Y1kZIiRscO83DgwHWuwyKEEEIIISQTKuaJxvv0KRL1603EhQtPYGSkj399pmHYsBZch/VDK1YMwd9jOqT/VRFbtlziMhy1uHnzJapX+xsjR6xHVFQ8PDyccfXaAuzdNw52dlZch5cvFhbGuHxlHho2rIT4+GS0bDETZ8485DosQgghhBBCsqBinmiF+PhktGk9C9u3XYRAIMCGjaOwaNEA8Hg8rkPLYtWqofhrdHsAwJ9/bAYPjhxHpD4ymRwbN56Fa9nh2LD+DGQyGXr29ELAqw2YMqUbdHVFXIeYawwpOHN2GqpXL4PIyHg0ajgF168/5zosQgghhBBCsiXkOgBCcksqlWHw4NV4//4r5szti/ETOsPRyQb9+y2HWCzhOjwAwNq1wzFyVGvI5XIM/W0tDh++izVruI5K/aKjEzBq1AZs3nweq1YPRf36FTB3Xl8MHNQE9++/hkwmh0wmh1wmh1QqU/79fcvddFke5//RdFn6dDlKlLQCcBtubnb49CkSzZpOw6tXn7j+txJCCCGEEJIjKuaJ1pk37xCCg8Oxdduf6NatHmxtLdCh/TxERcVzFhOPx8PatcMxYmQryOVyDBm8Gjt2XIaxsTFnMXHh6dP38GowCT17emHxkoEoVaoESpUqwXVYuZSCd+++onGjKQgJieA6GEIIIYQQQn6IinmilfbuvYpPnyJx7PhU1K1bHrfvLEGrljPx7t2XAo+Fx+Nhw4aRGDqsBeRyOQYNXIVdu64UeByaZP/+a/DxuY/OnevA1NQAAgE/vQkgEPAhFH77/fsmFGadxs/xse/XlXV92a0r5+kCmJk5onmz4VTIE0IIIYQQrUDFPNFa1649R90643H6zEyUKVMSd+4uRft2c3DnzqsCi4HH42HTplEY8ltzyOVyDOi/Env2+BbY9jVZYmIKdu68zHUYuWJsbIz4+HhERHB3dgchhBBCCCF5QQPgEa326tUn1Kk9Dg8evIGVlQkuX5mHLl3qFsi2eTweNm/+HUN+aw6ZTIZ+fZdTIU8IIYQQQggpEFTME60XFhaLht6TcfLkXejp6eDQ4UkYO7ajWrfJ5/OxZeufGDS4GWQyGfr2WY59+66pdZuEEEIIIYQQkoGKeVIoJCeL0bnTAqxZ7QMAWLJ0ENatGwGBQPUvcT6fj63b/sTAgU0glcrQu9dSHDhwXeXbIYQQQgghhJCcUDFPCg25XI6//vof/h69GXK5HCNGtsLxE//A0FBPZdvg8/nYvmM0+vdvDKlUhl49l+DQoZsqWz8hhBBCCCGE5AYV86TQWbXqX3TtshApKWK0aVMdV68tQPHi5r+8XoGAj527/kbfvg0hkUjRo/tiHDlySwURE0IIIYQQQkjeUDFPCqXjx++gofcUhIfHwtOzNO7cXYry5R3yvT6BgI9du8egd29vZSF/7NhtFUZMCCGEEEIIIblHxTwptO7ff406tccjMPATHB2tcev2YjRqVCnP6xEI+Nizdxx69vRCWpoE3bouwvHjd9QQMSGEEEIIIYTkDhXzpFB7//4r6tQej+vXn8PU1BBnz81Cv36Ncr28UCjAvv3j0b17faSlSdC1y0KcPHlXjRETQgghhBBCyM9RMU8KvZiYRDRvNh3791+DSCTEjp1/Y8aMnj9dTigUYP+BCejatR7EYgk6d1oAH5/7BRAxIYQQQgghhPwYFfOkSBCLJejTexkWzD8EAJgxsxe27xgNkUiY7fwikRAHDk5A58510gv5+Th9+kFBhkwIIYQQQgghOaJinhQZjDFMnbobQ39bA6lUhv79G+PsuZkwNTXMNJ9IJMTBQxPRqVMdpKamoWOHeThz5iFHURNCCCGEEEJIVlTMkyJny5YLaNtmNhISktGokQdu3loMB4diAAAdHSEOH5mEDh1qITU1DR3az8W5c484jpgQQgghhBBCMqNinhRJ588/Rv16E/HpUyQqVHDAnbtLUbt2ORw5OgXt2tVESooY7dvNxYULT7gOlRBCCCGEEEKyoGKeFFnPngWjdq1x8PMLQokSFrh1ewnatKmO5GQx2rWdg4sXqZAnhBBCCCGEaCYq5kmRFhoahQb1J+L8+ccAgORkMdq2mY3Ll/04jowQQgghhBBCcpb9UN6EFCEJCSlo22Y2+vTxxqNH7+DvH8x1SIQQQgghhBDyQ1TMEwJAKpVhx47LXIdBCCGEEEIIIblCp9kTQgghhBBCCCFahop5QgghhBBCCCFEy1AxTwghhBBCCCGEaBkq5gkhhBBCCCGEEC1DxTwhhBBCCCGEEKJlqJgnhBBCCCGEEEK0DBXzhBBCCCGEEEKIlqFinhBCCCGEEEII0TJCrgPQVMbGxlyH8EMZ8Wl6nEUd5Uk7UJ60A+VJO1CetAPlSTtQnrQD5Uk7aFOechsjDwBTbyjapWTJkggNDeU6DEIIIYQQQgghRZitrS0+f/6c4+NUzGejZMmSSEhI4DoMQgghhBBCCCFFkLGx8Q8LeYCKeUIIIYQQQgghROvQAHiEEEIIIYQQQoiWoWKeEEIIIYQQQgjRMlTME0IIIYQQQgghWoaKeUIIIYQQQgghRMtQMU8IIYQQQgghhGgZKuYJIYQQQgghhBAtQ8U8IYQQQgghhBCiZaiYJ4QQQgghhBBCtAwV8xps5MiRCAoKQkpKCu7evYvq1av/cP4uXbogICAAKSkpePbsGVq2bFlAkRZNkyZNwv379xEfH4+wsDAcP34cZcuW/eEy/fv3B2MsU0tJSSmgiIumGTNmZPmfBwQE/HAZ2pcKXlBQUJY8Mcawdu3abOenfalg1K9fH//++y9CQ0PBGEP79u2zzDNr1ix8/vwZycnJuHjxIkqXLv3T9eb184382I/yJBQKsXDhQjx79gyJiYkIDQ3Fzp07UaJEiR+uMz/vneTHfrY/bd++Pcv//OzZsz9dL+1PqvWzPGX3WcUYw7hx43JcJ+1Pqpeb7+G6urpYu3YtIiMjkZCQgCNHjsDa2vqn687P5xpXqJjXUN26dcPy5csxa9YsVK1aFX5+fjh//jyKFSuW7fy1a9fG/v37sXXrVlSpUgUnTpzAiRMnUKFChQKOvOjw8vLCunXrUKtWLTRt2hQikQgXLlyAgYHBD5eLi4tD8eLFlc3R0bGAIi66nj9/nul/Xq9evRznpX2JG9WrV8+UoyZNmgAADh8+nOMytC+pn6GhIfz8/DBq1KhsH58wYQL+/PNPDB8+HDVr1kRSUhLOnz8PXV3dHNeZ18838nM/ypOBgQGqVq2KOXPmoGrVqujUqRNcXV3x77///nS9eXnvJD/3s/0JAM6ePZvpf96zZ88frpP2J9X7WZ6+z0/x4sUxcOBAyOVyHD169Ifrpf1JtXLzPXzFihVo27YtunbtCi8vL5QsWRLHjh374Xrz87nGNUZN89rdu3fZmjVrlH/zeDz26dMnNnHixGznP3DgAPPx8ck07c6dO2zDhg2cP5ei0qysrBhjjNWvXz/Hefr3789iYmI4j7UotRkzZrAnT57ken7alzSjrVixgr158ybHx2lfKvjGGGPt27fPNO3z589s7Nixyr9NTExYSkoK6969e47ryevnG7Vfz9N/W7Vq1RhjjNnb2+c4T17fO6n9ep62b9/Ojh8/nqf10P5U8Hn6bzt+/Di7dOnSD+eh/Un97b/fw01MTJhYLGadO3dWzuPq6soYY6xmzZo5ric/n2tcNuqZ10AikQienp64dOmSchpjDJcuXULt2rWzXaZ27dqZ5geA8+fP5zg/UT1TU1MAQHR09A/nMzIyQnBwMEJCQnDixAmUL1++IMIr0sqUKYPQ0FC8e/cOe/bsgb29fY7z0r7EPZFIhD59+mDbtm0/nI/2JW45OzujRIkSmfaX+Ph43Lt3L8f9JT+fb0T1TE1NIZfLERsb+8P58vLeSVTD29sbYWFhePXqFdavXw8LC4sc56X9iXvW1tZo3bo1tm7d+tN5aX9Sr/9+D/f09ISOjk6m/SMwMBAfPnzIcf/Iz+ca16iY10BWVlYQCoUICwvLND0sLAzFixfPdpnixYvnaX6iWjweDytXrsTNmzfx4sWLHOcLDAzEoEGD0L59e/Tp0wd8Ph+3b9+Gra1tAUZbtNy7dw8DBgxAixYtMGLECDg7O+PGjRswMjLKdn7al7jXoUMHmJmZYceOHTnOQ/sS9zL2ibzsL/n5fCOqpauri0WLFmH//v1ISEjIcb68vneSX3fu3Dn069cPjRs3xsSJE+Hl5YWzZ8+Cz8/+6zrtT9zr378/EhISfnrqNu1P6pXd9/DixYtDLBYjLi4u07w/q6cy5sntMlwTch0AIYXBunXr4O7u/tPrn+7evYu7d+8q/759+zYCAgIwbNgwTJ8+Xd1hFknnzp1T/u7v74979+7hw4cP6Nat2097fgk3Bg8ejLNnz+LLly85zkP7EiF5JxQKcejQIfB4PIwYMeKH89J7Z8E7ePCg8vfnz5/j2bNneP/+Pby9vXHlyhUOIyM5GTRoEPbu3QuxWPzD+Wh/Uq/cfg8vjKhnXgNFRkZCKpXCxsYm03QbGxt8/fo122W+fv2ap/mJ6qxZswZt2rRBw4YNERoamqdlpVIpnjx5otGjZBY2cXFxeP36dY7/c9qXuOXg4IAmTZpgy5YteVqO9qWCl7FP5GV/yc/nG1GNjELe0dERTZs2/WGvfHZ+9t5JVC8oKAgRERE5/s9pf+JWvXr1UK5cuTx/XgG0P6lSTt/Dv379Cl1dXeXp9xl+Vk9lzJPbZbhGxbwGkkgkePToERo3bqycxuPx0LhxY9y5cyfbZe7cuZNpfgBo2rRpjvMT1VizZg06duyIRo0aITg4OM/L8/l8VKxY8Yc9kES1DA0NUapUqRz/57QvcWvgwIEIDw/H6dOn87Qc7UsFLygoCF++fMm0vxgbG6NmzZo57i/5+Xwjvy6jkC9TpgyaNGny07FdsvOz906iera2trC0tMzxf077E7cGDx6Mhw8f4tmzZ3lelvYn1fjR9/BHjx4hLS0t0/5RtmxZODo65rh/5OdzTRNwPgoftaytW7duLCUlhfXr14+VK1eObdy4kUVHRzNra2sGgO3cuZPNnz9fOX/t2rVZWloaGzNmDHN1dWUzZsxgYrGYVahQgfPnUljbunXrWExMDGvQoAGzsbFRNj09PeU8/83TtGnTWNOmTZmzszOrUqUK27dvH0tOTmZubm6cP5/C2pYsWcIaNGjAHB0dWe3atdmFCxdYeHg4s7KyyjZHtC9x13g8HgsODmYLFizI8hjtS9w0Q0ND5uHhwTw8PBhjjI0ePZp5eHgoR0GfMGECi46OZm3btmXu7u7s+PHj7N27d0xXV1e5jkuXLrFRo0Yp//7Z5xs11eZJKBSyEydOsJCQEFapUqVMn1cikSjHPP3svZOaavNkaGjIFi9ezGrWrMkcHR1Zo0aN2MOHD1lgYCDT0dHJMU+0PxVsnjLmMTY2ZomJiWzYsGHZroP2J/W33HwPX79+PQsODmbe3t6satWq7NatW+zWrVuZ1hMQEMA6dOig/Ds3n2sa1jgPgFoObdSoUSw4OJilpqayu3fvsho1aigf8/X1Zdu3b880f5cuXdirV69Yamoq8/f3Zy1btuT8ORTmlpP+/fvnmKfly5crc/rlyxd26tQpVrlyZc6fS2Fu+/fvZ6GhoSw1NZV9/PiR7d+/n7m4uOSYI4D2Ja5a06ZNGWOMlSlTJstjtC9x07y8vLJ9n/s+F7NmzWJfvnxhKSkp7OLFi1nyFxQUxGbMmJFp2o8+36ipNk+Ojo45fl55eXnlmKefvXdSU22e9PT02Llz51hYWBgTi8UsKCiIbdq0KUtRTvsTt3nKmOe3335jSUlJzMTEJNt10P6k/paT77+H6+rqsrVr17KoqCiWmJjIjh49ymxsbLKs5/tlgJ9/rmlS46X/QgghhBBCCCGEEC1B18wTQgghhBBCCCFahop5QgghhBBCCCFEy1AxTwghhBBCCCGEaBkq5gkhhBBCCCGEEC1DxTwhhBBCCCGEEKJlqJgnhBBCCCGEEEK0DBXzhBBCCCGEEEKIlqFinhBCCCGEEEII0TJUzBNCCCEE27dvx/Hjxznb/q5duzB58uRczbt//36MGTNGzRERQgghmo0HgHEdBCGEEELUh7Eff9TPnDkTK1asAI/HQ1xcXAFF9U2lSpVw5coVODo6Iikp6afzV6hQAdevX4ezszPi4+MLIEJCCCFE81AxTwghhBRyNjY2yt+7d++O2bNnw9XVVTktMTExV0W0umzevBlSqRQjRozI9TL379/Hjh07sH79ejVGRgghhGguOs2eEEIIKeTCwsKULS4uDoyxTNOSkpKynGbv6+uL1atXY8WKFYiOjsbXr18xZMgQGBgYYNu2bYiPj8ebN2/QokWLTNuqUKECzpw5g4SEBHz9+hW7du2CpaVljrHx+Xx06dIFPj4+maaPGDECr1+/RkpKCr5+/YrDhw9netzHxwc9evRQwX+HEEII0U5UzBNCCCEkW/3790dkZCRq1KiBNWvWYMOGDTh8+DBu376NqlWr4sKFC9i9ezf09fUBAKamprhy5QqePHmCatWqoUWLFrCxscGhQ4dy3EalSpVgZmaGhw8fKqd5enpi9erVmD59OlxdXdGiRQtcv34903L3799HjRo1oKOjo54nTwghhGgBRo0aNWrUqFErGq1///4sJiYmy/Tt27ez48ePK//29fVl169fV/7N5/NZQkIC27lzp3KajY0NY4yxmjVrMgBs6tSp7Ny5c5nWa2tryxhjrEyZMtnG0759eyaRSDJN69ixI4uNjWVGRkY5Po+KFSsyxhhzcHDg/H9KjRo1atSocdGoZ54QQggh2Xr27Jnyd7lcjqioKPj7+yunhYWFAQCsra0BAB4eHmjYsCESEhKU7dWrVwCAUqVKZbsNfX19iMXiTNMuXryIDx8+4P3799i1axd69eql7P3PkJKSAgAwMDD4xWdJCCGEaCcq5gkhhBCSLYlEkulvxliWaYDiuncAMDIygo+PDypXrpyplS5dOstp8hkiIyNhaGgIkUiknJaYmIiqVauiZ8+e+PLlC2bPng0/Pz+Ympoq57GwsAAARERE/PLzJIQQQrQRFfOEEEIIUYnHjx+jQoUKCA4Oxrt37zK15OTkbJd5+vQpAKB8+fKZpstkMly+fBkTJ05EpUqV4OTkhEaNGikfd3d3x8ePHxEVFaW250MIIYRoMirmCSGEEKIS69atg4WFBfbv349q1arBxcUFzZo1w7Zt25S99/8VGRmJR48eoV69espprVu3xh9//AEPDw84ODigX79+4PP5CAwMVM5Tv359XLhwQe3PiRBCCNFUVMwTQgghRCW+fPmCunXrQiAQ4MKFC/D398fKlSsRGxsLuVye43JbtmxB7969lX/HxsaiU6dOuHLlCgICAjB8+HD07NkTL1++BADo6uqiQ4cO2Lx5s9qfEyGEEKKpeFCMhEcIIYQQwgk9PT0EBgaie/fuuHv37k/nHz58ODp27IjmzZsXQHSEEEKIZqKeeUIIIYRwKjU1Ff369YOVlVWu5pdIJPjjjz/UHBUhhBCi2ahnnhBCCCGEEEII0TLUM08IIYQQQgghhGgZKuYJIYQQQgghhBAtQ8U8IYQQQgghhBCiZaiYJ4QQQgghhBBCtAwV84QQQgghhBBCiJahYp4QQgghhBBCCNEyVMwTQgghhBBCCCFahop5QgghhBBCCCFEy1AxTwghhBBCCCGEaJn/AyCEAoy45ifrAAAAAElFTkSuQmCC" + }, + "metadata": {}, + "output_type": "display_data", + "jetTransient": { + "display_id": null + } + } + ], + "execution_count": 10 }, { "cell_type": "markdown", @@ -2616,10 +421,13 @@ }, { "cell_type": "code", - "execution_count": null, "id": "1009ea77e1bdd0ee", - "metadata": {}, - "outputs": [], + "metadata": { + "ExecuteTime": { + "end_time": "2026-03-21T23:27:31.804747974Z", + "start_time": "2026-03-21T23:27:31.495953436Z" + } + }, "source": [ "from nifreeze.viz.motion_viz import plot_volumewise_motion\n", "\n", @@ -2645,7 +453,31 @@ "\n", "plt.tight_layout()\n", "plt.show()" - ] + ], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_2181847/2477440422.py:23: UserWarning: The figure layout has changed to tight\n", + " plt.tight_layout()\n" + ] + }, + { + "data": { + "text/plain": [ + "
" + ], + "image/png": "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" + }, + "metadata": {}, + "output_type": "display_data", + "jetTransient": { + "display_id": null + } + } + ], + "execution_count": 11 }, { "cell_type": "markdown", @@ -2655,19 +487,13 @@ }, { "cell_type": "code", - "execution_count": 18, "id": "42ad9f87-3147-41bb-b04b-ba90325b811a", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/var/folders/0d/tx6_gy7951749z57rjjkkl_m0000gn/T/ipykernel_5538/4292332895.py:6: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n", - " plt.show()\n" - ] + "metadata": { + "ExecuteTime": { + "end_time": "2026-03-21T23:27:31.928215505Z", + "start_time": "2026-03-21T23:27:31.825658070Z" } - ], + }, "source": [ "from nifreeze.viz.motion_viz import plot_framewise_displacement\n", "\n", @@ -2675,15 +501,23 @@ "plot_framewise_displacement(fd, labels=[\"Estimated\", \"Ground truth\"])\n", "\n", "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "14308ff4-d5b1-4270-aca2-0d7e9ccef27f", - "metadata": {}, - "outputs": [], - "source": [] + ], + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": "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" + }, + "metadata": {}, + "output_type": "display_data", + "jetTransient": { + "display_id": null + } + } + ], + "execution_count": 12 } ], "metadata": { diff --git a/src/nifreeze/estimator.py b/src/nifreeze/estimator.py index 488c78c3f..01a13df1c 100644 --- a/src/nifreeze/estimator.py +++ b/src/nifreeze/estimator.py @@ -24,7 +24,6 @@ from __future__ import annotations -from importlib.resources import files from os import cpu_count from pathlib import Path from tempfile import TemporaryDirectory @@ -32,17 +31,13 @@ from typing import TypeVar import nibabel as nb -import nitransforms as nt import numpy as np from tqdm import tqdm from typing_extensions import Self from nifreeze.data.base import BaseDataset -from nifreeze.data.pet import PET from nifreeze.model.base import BaseModel, ModelFactory -from nifreeze.model.pet import BSplinePETModel from nifreeze.registration.ants import ( - Registration, _prepare_registration_data, _run_registration, ) @@ -223,92 +218,3 @@ def run(self, dataset: DatasetT, **kwargs) -> Self: pbar.update() return self - - -class PETMotionEstimator: - """Estimates motion within PET imaging data aligned with generic Estimator workflow.""" - - def __init__(self, align_kwargs: dict | None = None, strategy: str = "lofo"): - self.align_kwargs = align_kwargs or {} - self.strategy = strategy - - def run(self, pet_dataset: PET, omp_nthreads: int | None = None) -> list: - n_frames = len(pet_dataset) - frame_indices = np.arange(n_frames).astype(int) - - if omp_nthreads: - self.align_kwargs["num_threads"] = omp_nthreads - - affine_matrices = [] - - with TemporaryDirectory() as tmp_dir: - tmp_path = Path(tmp_dir) - - for idx in tqdm(frame_indices, desc="Estimating PET motion"): - (train_data, train_times), (test_data, test_time) = pet_dataset.lofo_split(idx) - - if train_times is None: - raise ValueError( - f"train_times is None at index {idx}, check midframe initialization." - ) - - # Build a temporary dataset excluding the test frame - train_dataset = PET( - dataobj=train_data, - affine=pet_dataset.affine, - brainmask=pet_dataset.brainmask, - midframe=train_times, - total_duration=pet_dataset.total_duration, - ) - - # Instantiate the PET model explicitly - model = BSplinePETModel(dataset=train_dataset) - - # Fit the model once on the training dataset - model.fit_predict(None) - - # Predict the reference volume at the test frame's timepoint - predicted = model.fit_predict(idx) - - fixed_image_path = tmp_path / f"fixed_frame_{idx:03d}.nii.gz" - moving_image_path = tmp_path / f"moving_frame_{idx:03d}.nii.gz" - - fixed_img = nb.Nifti1Image(predicted, pet_dataset.affine) - moving_img = nb.Nifti1Image(test_data, pet_dataset.affine) - - moving_img = nb.as_closest_canonical(moving_img, enforce_diag=True) - - fixed_img.to_filename(fixed_image_path) - moving_img.to_filename(moving_image_path) - - registration_config = files("nifreeze.registration.config").joinpath( - "pet-to-pet_level1.json" - ) - - registration = Registration( - from_file=registration_config, - fixed_image=str(fixed_image_path), - moving_image=str(moving_image_path), - output_warped_image=True, - output_transform_prefix=f"ants_{idx:03d}", - **self.align_kwargs, - ) - - try: - result = registration.run(cwd=str(tmp_path)) - if result.outputs.forward_transforms: - transform = nt.io.itk.ITKLinearTransform.from_filename( - result.outputs.forward_transforms[0] - ) - matrix = transform.to_ras( - reference=str(fixed_image_path), moving=str(moving_image_path) - ) - affine_matrices.append(matrix) - else: - affine_matrices.append(np.eye(4)) - print(f"No transforms produced for index {idx}") - except Exception as e: - affine_matrices.append(np.eye(4)) - print(f"Failed to process frame {idx} due to {e}") - - return affine_matrices diff --git a/test/test_integration_pet.py b/test/test_integration_pet.py deleted file mode 100644 index 470e32b93..000000000 --- a/test/test_integration_pet.py +++ /dev/null @@ -1,128 +0,0 @@ -# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*- -# vi: set ft=python sts=4 ts=4 sw=4 et: -# -# Copyright The NiPreps Developers -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# We support and encourage derived works from this project, please read -# about our expectations at -# -# https://www.nipreps.org/community/licensing/ -# - -import math -import types - -import attrs -import numpy as np -import pytest - -from nifreeze.data.pet import PET -from nifreeze.estimator import PETMotionEstimator - - -@pytest.mark.random_pet_data(5, (4, 4, 4), np.asarray([10.0, 13.0, 17.0, 30.0, 33.0])) -def test_lofo_split_shapes(tmp_path, setup_random_pet_data): - pet_dataobj, affine, brainmask_dataobj, _, midframe, total_duration = setup_random_pet_data - - pet_obj = PET( - dataobj=pet_dataobj, - affine=affine, - brainmask=brainmask_dataobj, - midframe=midframe, - total_duration=total_duration, - ) - - idx = 2 - (train_data, train_times), (test_data, test_time) = pet_obj.lofo_split(idx) - assert train_data.shape[-1] == pet_obj.dataobj.shape[-1] - 1 - np.testing.assert_array_equal(test_data, pet_obj.dataobj[..., idx]) - np.testing.assert_array_equal(train_times, np.delete(pet_obj.midframe, idx)) - assert test_time == pet_obj.midframe[idx] - - -@pytest.mark.random_pet_data(5, (4, 4, 4), np.asarray([10.0, 20.0, 30.0, 40.0, 50.0])) -def test_to_from_filename_roundtrip(tmp_path, setup_random_pet_data): - pet_dataobj, affine, brainmask_dataobj, _, midframe, total_duration = setup_random_pet_data - - pet_obj = PET( - dataobj=pet_dataobj, - affine=affine, - brainmask=brainmask_dataobj, - midframe=midframe, - total_duration=total_duration, - ) - - out_file = tmp_path / "petdata" - pet_obj.to_filename(out_file) - assert (tmp_path / "petdata.h5").exists() - loaded = PET.from_filename(tmp_path / "petdata.h5") - - # Get all user-defined, named attributes - attrs_to_check = [ - a.name for a in attrs.fields(PET) if not a.name.startswith("_") and not a.name.isdigit() - ] - - # Sanity checks (element-wise) - for attr_name in attrs_to_check: - val_direct = getattr(pet_obj, attr_name) - val_loaded = getattr(loaded, attr_name) - - if val_direct is None or val_loaded is None: - assert val_direct is None and val_loaded is None, f"{attr_name} mismatch" - else: - if isinstance(val_direct, np.ndarray): - assert val_direct.shape == val_loaded.shape - assert np.allclose(val_direct, val_loaded), f"{attr_name} arrays differ" - else: - assert math.isclose(val_direct, val_loaded), f"{attr_name} values differ" - - -@pytest.mark.random_pet_data(5, (4, 4, 4), np.asarray([10.0, 15.0, 20.0, 25.0, 30.0])) -def test_pet_motion_estimator_run(monkeypatch, setup_random_pet_data): - pet_dataobj, affine, brainmask_dataobj, _, midframe, total_duration = setup_random_pet_data - - pet_obj = PET( - dataobj=pet_dataobj, - affine=affine, - brainmask=brainmask_dataobj, - midframe=midframe, - total_duration=total_duration, - ) - - class DummyModel: - def __init__(self, dataset): - self.dataset = dataset - - def fit_predict(self, index): - if index is None: - return None - return np.zeros(self.dataset.shape3d, dtype=np.float32) - - monkeypatch.setattr("nifreeze.estimator.BSplinePETModel", DummyModel) - - class DummyRegistration: - def __init__(self, *args, **kwargs): - pass - - def run(self, cwd=None): - return types.SimpleNamespace(outputs=types.SimpleNamespace(forward_transforms=[])) - - monkeypatch.setattr("nifreeze.estimator.Registration", DummyRegistration) - - estimator = PETMotionEstimator(None) - affines = estimator.run(pet_obj) - assert len(affines) == len(pet_obj) - for mat in affines: - np.testing.assert_array_equal(mat, np.eye(4))