{ "cells": [ { "cell_type": "markdown", "id": "4af04318-6cd5-49f3-bd41-ca7f0a1b1fd7", "metadata": {}, "source": [ "# `SurfTrack` - Measures\n", "Compute shape, motion, temporal, and intensity characteristics of tracked\n", "surface heatwave events. This notebook continues from the SurfTrack tracking tutorial and assumes \n", "`result` (the tracked labels DataArray) and `var_notrend` (the anomaly field)\n", "are already in memory." ] }, { "cell_type": "markdown", "id": "a1728024-eaf0-4354-b61f-7b63a4f03036", "metadata": {}, "source": [ "### 1. Imports" ] }, { "cell_type": "code", "execution_count": 1, "id": "cb679949-1db2-4871-94d7-7ed22f28dab0", "metadata": {}, "outputs": [], "source": [ "import sys\n", "import os\n", "\n", "# Go up from notebooks/ to repo root\n", "repo_root = os.path.abspath(os.path.join(os.getcwd(), '..'))\n", "sys.path.insert(0, repo_root)" ] }, { "cell_type": "code", "execution_count": 3, "id": "fde805bd-4861-49ba-a12e-2f05b1e47c13", "metadata": {}, "outputs": [], "source": [ "# Measures sub-modules\n", "from ocetrac.SurfTrack.measures.utils import (\n", " ShapeMeasures,\n", " MotionMeasures,\n", " get_duration,\n", " get_initial_detection_time,\n", " calculate_intensity_metrics,\n", " get_object_masks,\n", " run_shape_measures,\n", " run_motion_measures,\n", " run_temporal_measures,\n", " run_intensity_measures,\n", " process_objects_and_calculate_measures,\n", " lons_to_180,\n", ")\n", "from ocetrac.SurfTrack.measures.plotting import plot_displacement" ] }, { "cell_type": "markdown", "id": "c93bbde9-fbb4-4ed0-ba9d-2664bee8d5bc", "metadata": {}, "source": [ "### 2. Recap\n", "\n", "After running `SurfTracker.run()` we have:\n", "- `result` — DataArray (time, lat, lon) of integer event labels, NaN = background\n", "- `var_notrend` — DataArray (time, lat, lon) of SST anomalies (from `calculate_anomalies_trend_features`)" ] }, { "cell_type": "code", "execution_count": 44, "id": "cd41d152-ff56-4cb0-b541-5d8e83cc77e6", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Total tracked events: 60\n", "Event IDs: [ 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18.\n", " 19. 20. 21. 22. 23. 24. 25. 26. 27. 28. 29. 30. 31. 32. 33. 34. 35. 36.\n", " 37. 38. 39. 40. 41. 42. 43. 44. 45. 46. 47. 48. 49. 50. 51. 52. 53. 54.\n", " 55. 56. 57. 58. 59. 60.] ...\n" ] } ], "source": [ "# All unique event IDs\n", "event_ids = np.unique(result.values)\n", "event_ids = event_ids[~np.isnan(event_ids)]\n", "print(f\"Total tracked events: {len(event_ids)}\")\n", "print(f\"Event IDs: {event_ids[:]} ...\")" ] }, { "cell_type": "code", "execution_count": 26, "id": "60c3dfba-bd34-4dae-9c93-db8193cdf4ca", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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       "Coordinates:\n",
       "  * time     (time) object 3kB 1979-01-01 00:00:00 ... 2015-01-01 00:00:00\n",
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       "  * lon      (lon) float64 2kB 0.0 1.25 2.5 3.75 5.0 ... 355.0 356.2 357.5 358.8\n",
       "Attributes:\n",
       "    units:         K\n",
       "    long_name:     sea surface temperature\n",
       "    cell_methods:  time: mean
" ], "text/plain": [ " Size: 138MB\n", "array([[[-0.38585486, -0.3697699 , -0.35270895, ..., -0.43246681,\n", " -0.42097259, -0.40316005],\n", " [-0.47201802, -0.46155738, -0.45422549, ..., -0.48133999,\n", " -0.48522698, -0.48176319],\n", " [-0.54543594, -0.54607625, -0.53813248, ..., -0.47048807,\n", " -0.50495293, -0.53207767],\n", " ...,\n", " [ 0.46768138, 0.43471435, 0.40061251, ..., 0.43944371,\n", " 0.50179589, 0.51046424],\n", " [ 0.6230039 , 0.55412768, 0.49083757, ..., 0.5840006 ,\n", " 0.65754218, 0.67407608],\n", " [ 0.79466408, 0.69131989, 0.58016453, ..., 0.78568523,\n", " 0.84079187, 0.8529317 ]],\n", "\n", " [[-0.48895671, -0.46554217, -0.44811693, ..., -0.64097775,\n", " -0.59068515, -0.53084162],\n", " [-0.51441074, -0.47031967, -0.44859089, ..., -0.6258642 ,\n", " -0.60710446, -0.57394917],\n", " [-0.50192003, -0.46226531, -0.43666332, ..., -0.5055735 ,\n", " -0.52035278, -0.53196638],\n", "...\n", " [ 0.63446571, 0.68550002, 0.72682059, ..., 0.41717646,\n", " 0.4511896 , 0.55592058],\n", " [ 0.71495333, 0.76664366, 0.81480749, ..., 0.45474103,\n", " 0.52750041, 0.63158104],\n", " [ 0.7618968 , 0.82198597, 0.88405636, ..., 0.50531523,\n", " 0.59544083, 0.68877213]],\n", "\n", " [[ 0.12935723, 0.08974562, 0.03704887, ..., 0.20346442,\n", " 0.18456779, 0.16207527],\n", " [-0.00162986, -0.02147578, -0.05354738, ..., 0.03754621,\n", " 0.02821324, 0.01754266],\n", " [-0.15763966, -0.17312524, -0.19530826, ..., -0.12498589,\n", " -0.13530935, -0.14498376],\n", " ...,\n", " [ 0.29400464, 0.2701163 , 0.27314633, ..., 0.30132432,\n", " 0.32881736, 0.32516775],\n", " [ 0.23614736, 0.24571236, 0.27539847, ..., 0.3047578 ,\n", " 0.31212475, 0.26960691],\n", " [ 0.25130636, 0.29760109, 0.36536933, ..., 0.25533547,\n", " 0.25633358, 0.24157431]]], shape=(433, 138, 288))\n", "Coordinates:\n", " * time (time) object 3kB 1979-01-01 00:00:00 ... 2015-01-01 00:00:00\n", " * lat (lat) float64 1kB -64.55 -63.61 -62.67 -61.73 ... 62.67 63.61 64.55\n", " * lon (lon) float64 2kB 0.0 1.25 2.5 3.75 5.0 ... 355.0 356.2 357.5 358.8\n", "Attributes:\n", " units: K\n", " long_name: sea surface temperature\n", " cell_methods: time: mean" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "anom" ] }, { "cell_type": "markdown", "id": "ea6bc1d7-6698-47ec-a7c8-10a3fbe54fb8", "metadata": {}, "source": [ "### 3. Select a region" ] }, { "cell_type": "code", "execution_count": 30, "id": "31a03ffa-59e6-48ab-bc7e-a0b079459c36", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Events in North Pacific: [ 6. 9. 28. 34. 38. 39. 42. 43. 48. 59.]\n" ] } ], "source": [ "# Defining our region (Pacific Ocean)\n", "upper_lat = 65\n", "lower_lat = 5\n", "left_lon = 150\n", "right_lon = 250\n", "\n", "result_NP = result.sel(lat=slice(lower_lat, upper_lat),\n", " lon=slice(left_lon, right_lon))\n", "var_notrend_NP = anom.sel(lat=slice(lower_lat, upper_lat),\n", " lon=slice(left_lon, right_lon))\n", "\n", "# Event IDs present in this region\n", "ids_NP = np.unique(result_NP.values)\n", "ids_NP = ids_NP[~np.isnan(ids_NP)]\n", "print(f\"Events in North Pacific: {ids_NP}\")" ] }, { "cell_type": "markdown", "id": "e3b2b0f3-1ab6-40fa-bee6-edfa6289d83f", "metadata": {}, "source": [ "### 4. Extract one event\n", "\n", "`get_object_masks` extracts the binary mask and intensity field for a\n", "single event ID.\n", "\n", "Returns:\n", "- `event_binary` — DataArray, 1 where event is present, NaN elsewhere\n", "- `event_intensity` — DataArray, anomaly values inside the event, NaN elsewhere" ] }, { "cell_type": "code", "execution_count": 46, "id": "97e87ef0-3305-4064-aaa1-cd0644c87048", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Analysing event ID: 39.0\n", "Active timesteps: 7\n", "event_binary dims : ('time', 'lat', 'lon')\n", "event_intensity dims: ('time', 'lat', 'lon')\n" ] } ], "source": [ "object_id = ids_NP[5] # pick the first event in the region\n", "print(f\"Analysing event ID: {object_id}\")\n", "\n", "event_binary, event_intensity = get_object_masks(result_NP, var_notrend_NP,\n", " object_id=object_id)\n", "\n", "print(f\"Active timesteps: {event_binary.time.shape[0]}\")\n", "print(f\"event_binary dims : {event_binary.dims}\")\n", "print(f\"event_intensity dims: {event_intensity.dims}\")" ] }, { "cell_type": "code", "execution_count": 39, "id": "a1782b5d-6292-4674-a1f9-755a06d94177", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/glade/derecho/scratch/cassiacai/tmp/ipykernel_2931/3397323041.py:30: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n", " plt.tight_layout()\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Quick plot — event extent over first 5 active timesteps\n", "\n", "fig, axes = plt.subplots(5, 1, figsize=(4, 8), \n", " subplot_kw={'projection': ccrs.PlateCarree(central_longitude=180)})\n", "axes = axes.flatten()\n", "\n", "for i, ax in enumerate(axes[:11]):\n", " contour = event_intensity.sel(lat=slice(-65, 65))[i,:,:].plot.contourf(\n", " ax=ax,\n", " transform=ccrs.PlateCarree(),\n", " cmap=cmocean.cm.balance,\n", " levels=17,\n", " vmin=-4,\n", " vmax=4,\n", " add_colorbar=False,\n", " extend='neither'\n", " )\n", " \n", " ax.add_feature(cfeature.COASTLINE, linewidth=0.5)\n", " \n", " gl = ax.gridlines(draw_labels=True, linewidth=0.3, color='gray', alpha=0.5, linestyle='--')\n", " gl.top_labels = False\n", " gl.right_labels = False\n", " \n", " time_str = str(event_intensity.time[i].values)[:10]\n", " ax.set_title(time_str, fontsize=10, pad=4)\n", "\n", "cbar_ax = fig.add_axes([0.15, -0.03, 0.7, 0.02]) # [left, bottom, width, height]\n", "cbar = fig.colorbar(contour, cax=cbar_ax, orientation='horizontal')\n", "cbar.set_label('Intensity', fontsize=10)\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "9b5f4c50-f784-4c9b-b4dd-74669a8242bc", "metadata": {}, "source": [ "### 5. Shape measures" ] }, { "cell_type": "code", "execution_count": 40, "id": "9e8f194f-b402-46e2-b11d-62911ade8f79", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Max spatial extent : 3299569 km²\n", "Mean spatial extent : 1884334 km²\n", "\n", "Perimeters (km) : ['5923', '5105', '4884', '11333', '7764', '6712', '8042']\n", "Circularity : ['0.555', '0.551', '0.584', '0.323', '0.506', '0.488', '0.371']\n", "Deformation : ['0.706', '0.764', '0.787', '0.732', '0.669', '0.608']\n" ] } ], "source": [ "lon_resolution_value = 111.320 # km per degree longitude\n", "lat_resolution_value = 110.574 # km per degree latitude\n", "\n", "shape_results = run_shape_measures(event_binary, lon_resolution_value, lat_resolution_value)\n", "\n", "print(f\"Max spatial extent : {shape_results['max_spatial_extent']:.0f} km²\")\n", "print(f\"Mean spatial extent : {shape_results['mean_spatial_extent']:.0f} km²\")\n", "print()\n", "print(f\"Perimeters (km) : {[f'{p:.0f}' for p in shape_results['perimeters']]}\")\n", "print(f\"Circularity : {[f'{c:.3f}' if c is not None else 'nan' for c in shape_results['circularity']]}\")\n", "print(f\"Deformation : {[f'{d:.3f}' for d in shape_results['deformation']]}\")" ] }, { "cell_type": "code", "execution_count": 41, "id": "8bccf8c0-9c1e-4a6a-aa79-612ea9641ee9", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot spatial extent over time\n", "fig, axes = plt.subplots(1, 2, figsize=(12, 3))\n", "\n", "axes[0].plot(shape_results['spatial_extents'], marker='o', ms=4, color='steelblue')\n", "axes[0].set_xlabel('Active timestep'); axes[0].set_ylabel('Area (km²)')\n", "axes[0].set_title(f'Event {int(object_id)} — spatial extent')\n", "\n", "axes[1].plot(shape_results['perimeters'], marker='o', ms=4, color='darkorange')\n", "axes[1].set_xlabel('Active timestep'); axes[1].set_ylabel('Perimeter (km)')\n", "axes[1].set_title(f'Event {int(object_id)} — perimeter')\n", "\n", "plt.tight_layout(); plt.show(); plt.close()" ] }, { "cell_type": "markdown", "id": "cf275743-3ad7-47d5-a737-0eb8e68e5eca", "metadata": {}, "source": [ "## 6. Motion measures\n", "\n", "Motion measures require longitudes in (−180, 180) format.\n", "`lons_to_180` converts from (0, 360)." ] }, { "cell_type": "code", "execution_count": 42, "id": "289042ff-151b-459f-8c4e-1f9e5543f439", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Centroids per timestep : [1, 1, 1, 1, 1, 1, 1]\n", "Centroid displacements : ['435.3', '531.1', '763.2', '1265.6', '531.5', '135.5'] km\n", "\n", "Centroid directionality:\n", " mean_delta_lon 1.884816753926702\n", " mean_delta_lat 1.25\n", " mean_angle 33.55211647750917\n", " direction eastward (zonal-dominated)\n", " movement_count 6\n", "\n", "COM directionality:\n", " mean_delta_lon 1.884816753926702\n", " mean_delta_lat 1.6666666666666667\n", " mean_angle 41.48501950343204\n", " direction eastward (zonal-dominated)\n", " movement_count 6\n" ] } ], "source": [ "# Convert longitudes for motion measures\n", "event_binary_180 = lons_to_180(event_binary.copy())\n", "event_intensity_180 = lons_to_180(event_intensity.copy())\n", "\n", "motion_results = run_motion_measures(event_binary_180, event_intensity_180)\n", "\n", "print(f\"Centroids per timestep : {motion_results['num_centroids_per_timestep']}\")\n", "print(f\"Centroid displacements : \"\n", " f\"{[f'{d:.1f}' for d in motion_results['centroid_displacements_km']]} km\")\n", "print()\n", "print(\"Centroid directionality:\")\n", "for k, v in motion_results['centroid_directionality'].items():\n", " print(f\" {k:<20} {v}\")\n", "print()\n", "print(\"COM directionality:\")\n", "for k, v in motion_results['com_directionality'].items():\n", " print(f\" {k:<20} {v}\")" ] }, { "cell_type": "code", "execution_count": 43, "id": "9c83db4d-8b97-44ee-9bed-ba4a6fb98f0a", "metadata": {}, "outputs": [ { "data": { "image/png": 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9zteOHD2iwbffoE+/nGv7jcbsi9FXC7/U9HdeU89uvV2j7v7403JboT0Wf2YqmNq16mjRtwvsfKK/btuqB0bdpzSH46zvV6F8BZUqVUo/LF+ig4f+UkJCvM+/JgQWAikAAACQB2aeUTO1yxdmOpSgII9Rds262T5y5Jh8mY+0TOnSanleK818d4b+75Zr1f+qPnrh1cm6ZuANevyRJ+wxDz8wWitWLlO3SzrqyusutdtGPfgfRUZG6fqbrtJd992mzh26qFmTZjkaROmxkWP1wcfvqXPvdho6/Haff00ILEEORw7+KaQIi4+PV1RUlHpVvk2hwWeaGAAAAADuKtaM0m0T+qlypaoKCQr12TykpjI6Mh/nIS2sUh0pivtrv6Y/+qUO/nGmKuuUkpasb+Km69ixY4qMjFRRzBYxv9ZQZIRva3vxCWmq1WRfkfxc8sK77zYAAAAAHkzoNM1kzWi6pnms6TNqmunmR2UUKC4IpAAAAICPmPDZ7sIOfJ5ADtGHFAAAAADgFwRSAAAAAIBfEEgBAAAAAH5BIAUAAAAABGYg3bdvn/7v//5PFSpUUOnSpdWqVSutWbPGtd/MSjN27FhVr15d4eHh6tatm7Zs2eLXawYAAAAAFPFRdo8cOaJOnTqpe/fu+uqrr1S5cmXt2LFD0dHRrmMmTZqkKVOm6J133lGjRo00fvx49e7dW9u2bVNERIQ/L7/YSGpay6vXhW2N8fm1AAAAAAgcfg2kzzzzjGrVqqW3337bta1u3boe1dGpU6dq9OjRGjhwoN02c+ZMValSRe+9957uvPNOv1w3/gmyhFIAAAAARbLJ7meffaY2bdrommuusdXR888/X2+++aZr/65du7R//3716dPHtS0sLExdu3bVihUrMj1nUlKS4uPjPRb4vjoKAACA4uunVT+qcau6io8/5u9LQTHn10C6c+dOTZs2TQ0bNtTXX3+tu+66S8OGDdOsWbPsfhNGDVMRdWfWnfvSmzhxoqKiolyLqcACAAAAxdUj/3nAhsf0y61DB/v70oDC3WQ3LS3NVkgnTJhg102F1AxYZELq4MH/fAMFBQV5vM405U2/zWnUqFEaMWKEa91USAml2TvaIMzrexgtmu0CAAA4paamavXan/XXwThVqlhZbS5oq5CQkHz/gDp36qqJ45712FaypPd/4wEBEUirVaumpk2bemw799xz9fHHH9vnVatWtY+mGmqOdYqLi8tQNXVv0msWFFxzXfqSAgAASAu/XaBnJo3THwdiXR9HzSrV9PDIMerT85J8/YhKlihpA3BmTLV0/ONPa/EP32nZj0tVpVJVPfzAaPXs1tt1zJIfvteEZ59Q7IE/1fK883Vl/6u4pSj+TXbNCLtmtFx3v/32m+rUqWOf16tXz4bSRYsWufYnJydryZIl6tixY4FfL3xbXQUAAChOYXTYg//W+Qdi9aOkBMk+nh+33243+/3p5ddfUN8+/fTZ/xaoy0Xd9OCjw3X02FG7L3b/n7rngTvt9nkfzNc1V16vyS8+49frReDwa4X0/vvvt8HSNNm99tpr9fPPP+uNN96wi2Ga5Q4fPtzuN/1MzWKem/lKBw0a5M9LL7aBMvHMvwXkWNk9Z85RZatvrwsAAKAoNdM1ldHLHA7Nc6v4tJc0z+HQFUFBmjRpnK1I5lfzXVP9PL+DZ8vD226+S3ffMcw+v/Lyq3VZ3wH2+YhhI/XunJnauHm9unTqpvf/965q1aytRx963P79Xb/uOfpt+6968+3X8uVagUITSC+88ELNnTvX9vt84oknbEXUTPNy4403uo4ZOXKkTp48qaFDh9p5S9u1a6eFCxcyB2k+NNPNbRh1vsaEUprtAgCAQGX6jJpmuh9m0vzQrI9yONTxQKw9rt2FHfLlGtq16aCxo8d7bIuKinY9b9ywiet56fDSKlOmrA4fPmTXd+zabpvpuo/R0qrFBflynUChCqTGZZddZpesmG+MsWPH2gWFc4oXE0qjt+fLqQEAAAo9M4CR0TyL/c3THZcfwsPDVad23Sz3lwj1/LM/6O8BRp0DhgIB2YcUxQd9SQEAQKByDia0OYv9zu1ZDTrkbw3qN9SGTes8tqVfB4pthRSFg7O5bkrdk96dYE84zXYBAEBAMlO7mNF0J8Ttt31G3Ss+pgY5MShItSpXtcfll+TTyRkqsCEhoSpfrvxZX3v9NTfqrf9O18TnntR1Vw/Slq2bNfezj/LtWgF3VEgDmC+rmt70PwUAACgOzEBFZmqXLyQ7gJH7KLtm3WwfOXJMvs5H+sPyJbqoV1uPZdDNV+fotdWr1dBLk6fp+yXfasC1fTXno9m6/56H8u1aAXdUSOHidXX079cebRCuaP3TTzVsawyfLgAACAhmntEXn5tmR9s1Axg5mcroi/k8D+nTT062S1a2rd+dYdvqZZs81rt36WkXd1ddca0PrxLIHIEUPqtunjnPP1VXpoIBAACBxIROM7WLGU3XNJ81fUZNM938rIwCRR2BNEAVxCBETAUDAAACjQmf+TW1C1AcEUjhM6bZbqLC3baEUSUFAAAAkCUGNQpweR5dFwAAAAC8RIUUPuUebE21NLppLQY3AgAAhZ4jzSGHw+HvyyhWzOdpPlcgO1RIA1BB9B/1x3sBAAB4K/HISaWcTlWaI4UP0QfM52g+z4QjJ/g8kS0qpAEsv+cOtdXSPeEMbgQAAAq9pJOntWbRNnUaUFLlossrOIg/k/MSRo8cPWw/z+STBHxkj+805Hvojd7OhwwAAAq/Jf/bYB9b926s0BIhCgoK8vclFclmuqYyasKo8/MEskMgRb5XSY82CGe0XQAAUOiZLqSLP9igFZ9tUUS50goKJpDm+jNMc9hmulRGC9bEiRP16KOP6r777tPUqVMzPeaTTz7RtGnTtH79eiUlJalZs2YaO3asLr74YvkTgTRA5Xdz3fSYkxQAABQVJkwdOhnv78sAcmTVqlV644031KJFi2yPW7p0qXr37q0JEyYoOjpab7/9tvr376+ffvpJ559/vvyFQBpg/DHIEM12AQAAgJyJj/f8x5CwsDC7ZPp3dmKibrzxRr355psaP358tudNXzk1wfTTTz/V559/TiBF8UazXQAAABQnHyXWUbiPa3snE80AUPtUq1Ytj+1jxoyxTWszc/fdd6tfv37q1avXWQNpemlpaUpISFD58uXlT1RIUXBVUuYkBQAAALIVExOjyMhI13pW1dE5c+Zo7dq1tsmuNyZPnqzjx4/r2muv9esdIZAix5rVij3rMVtiqvGJAgAAAF6KjIz0CKRZhVYzgNHChQtVqlSpXL/H+++/b6uupslu5cqV/Xqvgv367giY0Hqm2W7B918FAAAAips1a9YoLi5OrVu3VmhoqF2WLFmiF1980T5PTU3N8rUffPCBbr31Vv3vf/+zTX39jQopzvyPsDvchsb8RLNdAAAAIO969uypTZs2eWy7+eab1aRJEz388MMKCQnJsjJ6yy232EfT97QwIJDCZ811c8JUSats5UMHAAAAvBUREaHmzZt7bCtTpowqVKjg2j5q1Cjt27dPs2bNsusmhA4ePFgvvPCC2rdvr/3799vt4eHhioqKkr8QSJFrl1XemOW+L+Ja2PCaWV9SW4HdE84nDgAAAOSz2NhY7d2717X++uuvKyUlxY7MaxanIUOG6J133vHb/SCQwidB1P0YE0qzQrNdAAAAwPcWL17ssZ4+ZKbfX1gwqBEKrLmuE4MbAQAAADAIpAEiqWktjypl+qa0vh7QKLvRdgEAAADAoMlugITQzCqTOQmHzmCZk+a66ZvtuodS9z6lzma7TmFbY3J8bgAAAADFBxXSYhpEfRlG84P79aS/VgAAAACBgQppEZTbAOce/tI31y3oIOo+2q7zuqK3J+Xr+wEAAAAonAikARBCc8qXQTT9aLvpp4LxDMbMTQoAAAAEIprsBkgYNQHQGQLTN9c1YTG7MJqb/qPevM5cF812AQAAgMBDhbSYKgxNc91Dafq5Sd1DcejuM813q2zN98sBAAAAUIhQIS1mctpUtyDCKAAAAABkh0AaYPw5DyghGAAAAIA7muwGgMz6jPqL873dBzgCAAAAEJiokMIvqJYCAAAAIJAWc/5sogsAAAAA2SGQBpjCVJksTNcCAAAAoOARSAPE2eYazW/ezmUKAAAAoPhiUKMAaK5bEEF0209H9fyQzEPnyDmtVL9VZPbXuSc8H68OAAAAQGFEIC2Gc48m1vHt+b+Ia5HjCucV99dVo3bRHtuqNyxz1teZa45uWkthW2O8vk4AAAAARQuBFD5VqU54ttXQ9Ez11jkFjAnWVbZyQwAAAIBAQR/SYsrXo+uaKml+vt55vUlNa+XpfQAAAAAUHVRI4VNzntyuGQ/8opKlQmyl9NKhtdWgdVSOXmub7W7nhgAAAACBgkBaxOV3/9Gc9iUNjwhVj8E11KhtlMpEl9Bfe05q4Vt/aMrgDbr7teZS47Of31RJjzYIp9kuAAAAECBosluMZBVGnX0081PtpmV17aPnqFWvimrYJkodr6qqke+3UlSlkvrkuV3ZvtZ9FGDzNdBsFwAAAAgMBNJiGEZ93X/U276kpSNDdV63Ctq37bhSk1IK9TypAAAAAAoeTXaLodDd4fkaStPbvuaYvnp9r3atT9DppDRFVy2p9gOqqN/QOnI4cncumu0CAAAAgYMKaYDwZbNd9yrpz5/HafK/Nii8bKhuerqx7nm9uS6+rZbkkI4fO61Niw+p1rllFBKWs3/7MFVSmu0CAAAAgYFAGkB8HUqPHEjS7DG/qfN1Z87785dx2vDtQZ06nqqICiU06fr1ij90WtVv7+Wz9wUAAABQfNBkt5gou8ezH2lBNNt9+x2Hkk6kqWbjMvr0uV06npjq2hcULNVpHqGOr1yt6HOr5Oq8NNsFAAAAAgMV0gDjyyrpoQ1/KiS8hN4bu10hiakKkVRR0hWS+qRJezYm6GRcYq7PS7NdAAAAIDAQSItZldSdqZLmp1N/JSr15GlbZn9Y0jeSRkr62oz6K+lSSb+99IMcqWk+mWMVAAAAQPFCIA1AvqqSpp46bR9vl/SopG6SHpI0UdJyUyWVlBCXqEMb/8z1uQtylGAAAAAA/kEgLWYKskoaXPJMF+Qb023v+/fjsb8fkw6dyLdrAAAAAFB0EUiLaShNH0zzo0patk45+7g93Xbn1KNxfz+GVSid5/cCAAAAUPwQSANYXkNp7cua2sdRkr4zTXj/3j7/78e1kiIql1WFFtXzeKUAAAAAiiOmfQmAqWDcm+2m75tpQqkZ1Ta3tr66XDH/W2+fm1f3lFTh78d5kipL+lHSBfd2VlAI/+4BAAAAICMCaYDJLJy6V0pzEk5NGN05Z50uk/SApM8kvfd3E93//X3MiUpldMGwLqrW9Zx8+CoAAAAAFAcE0gCpkuaUM5xmFUzTklNsZdSE0U//bvNtRtedYvZJGiBpYZDU+b+DFFKaaVsAAAAAZI22lAEsuxF43auml1Xe6FpKf7NQp9McGp3J/zzBf0//kuyQjs/7OR+vHAAAAEBxQCAt4qK3J+V41N2cjL57NgdjTtnH5lnsd26P2BuTp/cxFVpT2U1qWitP5wEAAABQeBFIi4CwrXkLd+m5B9PczlNasVYp+7g5i/3O7RdVOKYSjpS8XKbt43q0Ac1+AQAAgOKKQFqEQmn6Ja9yGkq/iGvhWroNqq6SwdJTf/cZdWfWJ0gqFSSN6JWqdid3+aRKCgAAAKB4IpDCFUpzUi1dcLSVal57vr74ewAjM7VLwt+PZt1sv7efVDJU6nX8lyzP494v1SzZVUlptgsAAAAUT4yyW4SZKqkJa9n1Iz1bk9fcjsJrNB3ayT5+/b/1+iLN4dpuKqMP9ZMm3XBmvdWpGJVPSdTh0LIer88sgGa2zVRknV9Dla25u0YAAAAAhR+BtJjLSVh1D6WmSuo+P2lW07+YUNrktnbaN3e9Ov22Ug2rSEN7n6mMOoXIoR4nftVHkW28unZnSN1Wp76im9byeV9aAAAAAP5Fk90iLi8hzT2sejP6bnDJUPUbUEWv3CQN7+sZRp1ss13HP1XU7JrnZsYc7wzIAAAAAIoXvwbSsWPHKigoyGOpWrWqa7/D4bDHVK9eXeHh4erWrZu2bNniz0sudkwodQZTb0bePTdpf7b7a6Qc07nJ2R9zNqZKy2i7AAAAQPHj9wpps2bNFBsb61o2bdrk2jdp0iRNmTJFL7/8slatWmXDau/evZWQYIbRQWHQJAdhM7vBjXJaJWVOUgAAAKD48XsgDQ0NtUHTuVSqVMlVHZ06dapGjx6tgQMHqnnz5po5c6ZOnDih9957z9+XXex4UyUNcjjUxK1C6j4NTGJQSR0KLm2fX3Tid4Wlnc7T9TEnKQAAAHDGtGnT1KJFC0VGRtqlQ4cO+uqrr5SdpKQkm63q1KmjsLAwnXPOOXrrrbekQA+kv//+u22SW69ePV1//fXauXOn3b5r1y7t379fffr0cR1rPriuXbtqxYoV2X7Q8fHxHgvyR42UIyrrSNLOEhX1cOWB+iskwrUvPiRct1YfookVLtHvJSur48kdue4/6o45SQEAAIAzatasqaefflqrV6+2S48ePTRgwIBsuzdee+21+vbbbzVjxgxt27ZN77//vpo0aaKAHmW3Xbt2mjVrlho1aqQDBw5o/Pjx6tixo/0gTRg1qlSp4vEas75nT9Yj8EycOFHjxo3L92svrlVS01czp1PB1Dx9RNOiu2pB2WZKCwpWQnApVUk905w6Iu2UUoNCtKJ0A7uEpyWrp371+tpMmN1St5qd5obRdgEAABDI+vfv77H+1FNP2arpypUrbZfI9BYsWKAlS5bY4l/58uXttrp166ow8GuFtG/fvrrqqqt03nnnqVevXvryyy/tdtM018kMdOTONOVNv83dqFGjdOzYMdcSE8NUIfllZXh9zY84z4ZRwwRSpzJpSQp2pLnCZM+q3odRJwY3AgAAQHEXn661p2kBmp3U1FTNmTNHx48ft013M/PZZ5+pTZs2doyeGjVq2ILggw8+qJMn/T+bRaGah7RMmTI2nJpmvFdccYXdZiql1apVcx0TFxeXoWrqzjTrNQt8I7u5SJXuHwYSg//53E1EvbLCOiWFlvDZrTDBdnKd+sr67gMAAAD5b8FfzVXiREmfnvP08WRJK1SrVi2P7WPGjLEzj6RnBoM1AfTUqVMqW7as5s6dq6ZNm2Z6blMZXbZsmUqVKmWPO3jwoIYOHarDhw/7vR+p3/uQujPp/5dffrEB1PQpNYMcLVq0yLU/OTnZlppNs17k/+BGuZn+JX2F1AhLSZGvmcGNTLNdAAAAoDiKiYnxaPFpWoBmpnHjxlq/fr1tpvvvf/9bQ4YM0datWzM9Ni0tzbYynT17ttq2batLL73Uzmbyzjvv+L1K6tdAasrEJmCaAYx++uknXX311bYsbT5M84ENHz5cEyZMsCl+8+bNuummm1S6dGkNGjTIn5eNLLhXSI2w1DMj6y77MFZ3NVmq+y5YlufPjma7AAAAKM4i/x4517lk1fqzZMmSatCggW2Ka8bRadmypV544YVMjzUFP9NUNyoqyrXt3HPPtd0h//jjDwVsk13zxd9www22ZGyme2nfvr1N+GYoYmPkyJE2sZty8pEjR+wgSAsXLlRExD+juUJ2kJ/8rBqaZrtGlk13s6iQlkpJ0ZEDSfp40k5FVS6pU4neV0xviNjlek6zXQAAAMCTCZdZ9Tft1KmTPvzwQyUmJtrmvcZvv/2m4OBgO2JvwAZS0/k2O6ZKatpLZ9ZmGvnPjrarcNtMNifBNCFDhTRF7435XQ3bRKl0VAmtW/hXnsOoe7NdRtsFAABAIHr00UftALGmv2lCQoLNVYsXL7aj6Rqmme++ffvsjCaGaWH65JNP6uabb7YzkpiC4EMPPaRbbrlF4eG566ZXrAc1QtGQVTBNDPGskC6ef1i/rzqmMV+20adTd3sVPjPb/0WtWO1rUF9VMm8iDwAAABRrBw4c0L/+9S/FxsbaZrgtWrSwYbR37952v9m+d+9e1/GmKmrG5rn33nttE98KFSrYeUnNtJv+RiAtJvKz2a4Z3MhZJc0smDrDqXuT3bhj0ksvHtQVD9RXuaphPgmj6UfbjaZKCgAAgAA0Y8aMbPebwYrSa9KkiceAsYVFoRplF4Wz2W5OmHDqPqjR0LelejVD1fWGf0Krr5jgagLy0QZM7wMAAAAUZQRS5EhOpoBZvb+2ffz4Z+nzddK9d1W3/YB9WR11r8gmnhn7CgAAAEARRSAtRvJrkB9nlfRsofSYSivxlHT3O9K9faS60ak6EZ9il9TTafYY8zzpRGqer8k02wUAAABQtNGHFDmWWT9Sd8kK1R+JoTpwLEWT50uT55uA7BmSR7RdoZY9K+jfrzTjkwcAAAACHIE0gKukvh4EyTSjLZMapu9Hn5lv9K+QMppSobc6RO/U12/G2BF373mjucqWK+HT9wUAAABQNBFIkUH09qQcDxiUfuqXUyXNSLvHFXtUKl/hlCq0qK7fQ2oqsuKHCg6RGreL5hMHAAAAYBFIA1hep4pJH0Zjl+xQ96lHtO+Qc0uqyk6bqcbDuuhsNdH3E+rlemAjAAAAAEUbgxrBZ2F07X++0gWH0vSjpATJPnY7eNxub9mjgl5YexGfNgAAAAAXAinyHEYdqWna9uIP6idpnqT2ZmTevx8/dchuf2/8XqWlOvi0AQAAALgQSANcTgZBcp/vM30YNQ5t/FOJfyVqdCb/Q5n1R03FNC5Rv68+5otLBgAAAFBMEEiRZ0mHTtjH5lnsd25fvKMqnzYAAAAAFwY1gkeV1JtBjsIqlLaPm/9uppveZo/jTvGJAwAAALCokCLPzNQuZSuV1VNBUlq6fWZ9QpAUUbmsPe6LuBZ84gAAAAAsKqTIs6CQYDUe1llfPv6VBgRJjzrONNM1ldGJkr6UdMdjtbUv5My/f5hQelnljXzyAAAAQCG2cWPu/2Zv2rSpQkNzHjMJpPCJal3P0R0vNNUnE7ar4/5k1/Z65aUHRtVTgz4VtS+ODxsAAAAoKlq1aqWgoCA5HDmbLSM4OFi//fab6tevn+P3IJAiQ3/S9P1Iy+7xHGk3K+f3qaiWPSvY0XRbrd6s2pFp6txEios4pM8cNfmkAQAAgCLmp59+UqVKlc56nAmtzZtnNcxp1gik8AlnE9zgkCA1bhul/wtNc3VQrnY8Xg0Pe5ZHM2u2+35CPd0QsYs7AgAAABQCXbt2VYMGDRQdHZ2j47t06aLw8PBcvQeBFGeVXXU0s76gIQ5HhtGy2u3bpfDKyToZXJJPHAAAACgCvv/++1wdP3/+/Fy/B6PsIkdS6p7MsC2rgYlKpKZk2FbmdLKui1/Fpw0AAAAUIYsXLz7rMUOHDvX6/ARSeCW7UXJLpKVmun1AwgbVPH3Etc4UMAAAAEDhNmDAAK1duzbL/Xfffbdmz57t9fkJpMhU9PYkrz+ZEqmZB9JQpen2o0tNj2c+dQAAAKAIuO2229S3b187em5699xzj2bNmqUvvvjC6/MTSJHpSLt5kVWF1LjgVIzan2TgIgAAAKAomDx5svr166fevXtr3759ru3Dhg3TO++8Y8No586dvT4/gRQ+aa5rRsd1jpCbVYXU6bajP6hkWsZ+pgAAAAAKn+nTp6t169bq1auXDh48qPvvv18zZszQ559/bkfizQtG2S3G0s8nmteqaLNasRm2pZ+mxayvPFI22/NUSU3QwIS1mhPVNsfXBwAAAMA/goODNWfOHFspbdq0qY4fP67PPvtM3bt3z/O5CaTFVG7CqPP4zEJpdlO+ZDVn6NkqpMbVCWv0XZkmGeYjZS5SAAAAoPB48cUXXc+7deumH374QRdffLG2bNliF/cmvN4gkCLPYTY3fUjXlKqt8qnHVef0Id16dJkmVryUOwAAAAAUUs8//7zHerVq1bRx40a7OAUFBRFIkfdA6f66ow3Csq2OZqdN6EHX860lq6lp8j9NfVeVqqsvI1qodFqSGiUfUFja6QxVUgAAAACFw65d+TsgKYMaIQMTRvMiKDVNKUHBWlT/XL1SvpvHvuZJZ0bmOhEcpvWlaispuIRdZ05SAAAAIPAQSAMkYLovOZGT6qjp75kZR0iwPm/UQjvLVdLe0PI6FlzKta/Jyf3aElNVW2Kq5fwLAAAAAOCX/qOnTp3K8fGvvfaaEhIScvUeBNIAbK6bPqC6B9W8VkeN5NoR6lntkH1+WZVN2hJW3bWvoo6rgf6yzwmlAAAAQOFlpnfJTcAcOXKk/vrrzN/6OcWgRnBxhlFv+466BAV5rG4Kq6GOJ3e61ttpl7arsiuUOqeToS8pAAAAUHg4HA717NlToaE5i40nT57M9XsQSIt5ddTbimdK3TP/M4XuDs/zdW0Oq+Gx3la7NFvtsjw+u6lfsmomDAAAAMC3xowZk6vjBwwYoPLly+fqNQRS5CiY5sWeEhUUHxymyLQku95eJmw6TCk1x6E0fRBlECQAAACgcAVSbxBIizFf9Af1BUdQkH5Mq6+L9Ytdr6RE1dNB7VIlV3NdI/3UL1RDAQAAgOKNQY0CfO7RvMppaPxZnseZfqQAAAAAAhuBtJjydXXUvZKZvrlsZqHUuc157E/pAumZZrt5U3ZPnk8BAAAAwI9osluE5WdV1AxmlJv+o84+n5mFUzOSbrDSdEylFKVTroGNmtX809WPNH1z3azQdxQAAAAoPgikKJDmu2kK1irVVS/9aterKkHVUo4ptkS0VyHUhNyzvxIAAACALyUnJ2vXrl0655xzcjwdTHZoslsMq6MFMZiRN5XK9M12z0val6vqKAAAAAD/OHHihG699VaVLl1azZo10969e+32YcOG6emnn/b6vARSeEis47sP5NeVR7Th6W/1x4PPa/ctYzX+nqUaMFla83f30eZJf541jNJEFwAAAPC/UaNGacOGDVq8eLFKlSrl2t6rVy998MEHXp+XJrvIN0vfj9WJuDBFXtJRJWpUliM+QbHz/6f2Yxz6+mHpvBb79JujshSU9XykAAAAAPxv3rx5Nni2b99eQW5/vzdt2lQ7duzw+rwEUnjNVC+zq3BWGHq5qpcrbft7Oo1puVa3jvhdEz6VvmmWqIjkU0oIC+cuAAAAAIXYX3/9pcqVK2fYfvz4cY+Amls02UW+CStXOsO2jaXOUdMaUszhM+vVE45xBwAAAIBC7sILL9SXX37pWneG0DfffFMdOnTw+rxUSOGTKql7X0/3qql7ddRYdqKa1u6WejQ9s14t4ai2VazKXQAAAAAKsYkTJ+qSSy7R1q1blZKSohdeeEFbtmzRjz/+qCVLlnh9XiqkyFRu5iBNP/CQWc9qMKKl76zR8SRp9BVn1qsnUiEFAAAACruOHTtqxYoVdrRdM+XLwoULVaVKFRtIW7du7fV5qZAGwIi5ZfeoUDjy4SIlLt+oYUMqqXW9v+y2iOQklU06pcSwf0bqAgAAAFB4nD59WnfccYf+85//aObMmT49NxXSAOCrqVxSTiRr67TlWjniUy3sP11fdHlZ2976Kcvmue6OfPytjs5brHLX9laNPud77KueeNQ3FwgAAADA50qUKKG5c+f6/sQE0sCR11BqwmbysVPa+/kWpZ1OVZXO9bM8zl2zWrFnwugn3yl6YA9FD+imlarncUy1XA5slF3wBQAAAIq7adOmqUWLFoqMjLSLGVToq6++yvY1pp+naVpr5hCtX7++XnvttVy955VXXmmnfvE1muwi8/8xdodn6EcaXjVCF395ux1RK/noScV8sfWsn95vM1fp6Cc/KfqKbip3VU+7bbNq6LhKqoySvQqkAAAAQCCrWbOmnn76aTVo0MCum2a0AwYM0Lp169SsWbMMx+/atUuXXnqpbr/9dr377rtavny5hg4dqkqVKumqq67K0Xua93ryySdtP1ITbMuUKeOxf9iwYV59LQTSAKuS5qU/aW7nF9rx/lr9NuMnRZxTQcHRETr52x7XOf6ryrqr4R/2eVTyKZVJPqXjJc/ej5TqKAAAAAJd//79PdafeuopWzVduXJlpoHUVENr166tqVOn2vVzzz1Xq1ev1nPPPZfjQDp9+nRFR0drzZo1dnFn/sYnkCJf+o16w4TG8juXadv0lXY9YcchacfnHsf8W9Jds/9ZN/OR/l6BgY0AAAAQ2OLj4z3Ww8LC7JKV1NRUffjhhzp+/HiW84GakXD79Onjse3iiy/WjBkz7IBFpo/o2Zgqa36gQhpgsquSni3EulcnG0bszPK446u2aPfUr9RP0mhJzW0zXWm8JDOVbuXhg9TlwrKS3nC9plqiCaRVcvz+AAAAgL/8+kcVBZf2bTEl7cQp+1irVi2P7WPGjNHYsWMzHL9p0yYbQE+dOqWyZcvaQYeaNm2a6bn3799vp2hxZ9bNfKIHDx5UtWr++zubQIpc9SN1+vXPzMOjIy1Nx2Z9YcPop26jZrWX9JmkyyV9O+tLbWg9XCeDSyhcp+3+6gmMtAsAAADExMTYgYqcsqqONm7cWOvXr9fRo0f18ccfa8iQIXbgoqxCafrudw6HI9PtWbnllluy3f/WW295dfMIpAEosyqpr5r4nvp1t5IOx9vKaPo5hcy62f7l4WNK+PUPrW1aW520w+6LSjql0slJOlEy6+YIAAAAQHEX+ffIuWdTsmRJ16BGbdq00apVq/TCCy/o9ddfz3Bs1apVbZXUXVxcnEJDQ1WhQoUcXdeRI0c81k1T382bN9tA3KNHD3mLQFoEJTX1LOPnRerpJMWumq/D729Q2skTKlGxssp37amIFp5zheZEWZ1SjaPbtf/vZrqZcW5PPZqgn1TXFUidzXZ3lK/s5VcCAAAABC6Hw6GkpKRM95mmvZ9/7jmmy8KFC22QzUn/USOzeUjT0tLsaL1mGhlvEUiLmaMNcldh3LXwbZ34K0YV+vZTiYqVlLBhrfZ/8F85HGmKbNk6m1eeKfHXPX1I/z68WPWOH1RjHdDSaIe6/91n1DTTTc9sN0KiI/STPP/lxzTbzSqQ0n8UAAAAOOPRRx9V3759bX/ThIQEzZkzR4sXL9aCBQvs/lGjRmnfvn2aNWuWXb/rrrv08ssva8SIEXbqFzPIkRnQ6P3331deBAcH6/7771e3bt00cuRIr85BIA1gx/ZuVcK+31Snx/+pZNsL7LbS9Rsq5egRHfzqc0Wc90+VtERasqr+ukaODZtVu2Si2lSI1/2Sorfv1InvpC2S6rSSOjeR6paXnjrs2YfUSJM0QVJE5bJq3StMp4PTlLQvRGGO1EznI/0irkUBfRIAAABA0XHgwAH961//UmxsrKKiotSiRQsbRnv37m33m+179+51HV+vXj3Nnz/fhsdXXnlF1atX14svvpjjKV+ys2PHDjs4krcIpAHcXPfY7k0KLhGmcvVb6rjb9sgL2mr//97VqZg9KlG/qk6t2qgTsz7Rb4fPDEBkOGds+fCnM4uxa6pUq1KQmgzuqC+mLtcA8683bqPsTvx7lN0ud1+ooJBgnVawtpWsqhZJ++zryyWdVPjpZJ0sUdJnXyMAAABQ3MyYMSPb/e+8806GbV27dtXatWu9fk9TXU3fRNgE3y+//NIOqOQtAmkAO3l4v0pFV1ZQcIjH9pJVq9vH5AP7lbzqkOKmfqDL0k3hYiqdX0j6aLg08MJ/Xvt8+R7admEPVR5eR4tnf6Yv/kp07atXXvposBTW6qBe+3vb5rDqrkB6tma76UcABgAAAFAw1q1bl6G5bqVKlTR58uSzjsCbHQJpgDKj6qYmnVDJiPIZ9oWEl7aPKccTdXzWchtG00/hMk/SFZIenCUNaC2FBEuvluuq78qcKx2WylzYTBcOiNahjX8qLO6QHtMydW/isMelJG7R3IhWOhAapU1hNSStynZgI/qPAgAAAP71/fff58t508/MgQBpruuSzbxDpi9pdlO4jDLNdA9LP/wqTY/upK/Knmf3NasVe+bUIcGqeH5NRVzcUlW6VrNh1AhVmm48dqad728lq9qmu07p+5ECAAAA8D8ztYuZ4iW9+Pj4PE37QiANYCFhpZV6yr336BmpJ0+cefL3ZLlnm8Jl+tFm+jQi62liLqu8Ueuq1dbp4H/+d+t64jfVTT6o5OBQbQur6tpe/tQJlTqd7N0XBAAAACBfmFF8k5Mz/p1+6tQp/fDDD16fl0BazERvz3zuIaPsHs8lvHw1nToaJ0famVFunZIPnKlwdql/wmOqlvSc27+NbnfW6zIDFW2sUtPjf7zBx348cx7bbFcezXbz+rUCAAAAyLuNGzfaxdi6datr3SymX6kZYKlGDc+/53ODPqTFlAmcZxNV9zwd+nWl9iz+QGmbw1SuQhkN6VlKi7YsUnA56ePLNqnxt9KEw2f6jGY2hUup8lEq1aSeGXz6rO9nAmnDAwcUmXYmSF54ao+aJv2pTWHVdb3bcdUTjmlXuUrefNkAAAAAfKhVq1YKCgqyS2ZNc8PDw/XSSy95fX4CaRF2tEFYniqGiX9ul+lBemT7amm7ZOqST355Jmy+O1QqGSpNHixdPVW6PItRdisP7qcgt6a42UkOCdWHEW1067Hlrm1Djv6oxyv2t/1IS9h3Nv1IM7ZN9yZwAwAAAMibXbt22Sle6tevr59//tmOrOtUsmRJVa5cWSEhnrN2FMkmuxMnTrSpe/jw4a5t5gsfO3asnbjVJO9u3bppy5Ytfr3OwhpGcxtM9638XHEbv9fFkq6VVEVSCUll/t6/4e95dP9s2EdVB92kbyOj1NHMUSrZx2/KR6ny8EF2NN3cmF/2PP0VUta13jQ5Vucl/6nfS5orOKOC6Uea8s+cp+kx5QsAAABQMOrUqaO6desqLS1Nbdq0sevOpVq1ankKo4WmQrpq1Sq98cYbatGihcf2SZMmacqUKXZi10aNGmn8+PHq3bu3tm3bpoiICAWqrMKo2Z6TMJqWkqIjmxZnmM7F7pM0QNJLX0p9+jXSy0f7qGyzYJU5t7lO7t6p5FIHFRIdoVJN6ua4MurODGI0J/JC3Xvkn2GjTV/SrSWr2XDqVJXRdgEAAIBCx/Qj3bt3b4YBji6/3LSpLIKBNDExUTfeeKPefPNNGzjdq6NTp07V6NGjNXDgQLtt5syZqlKlit577z3deeedCkTZVUbdmWCa1bF/bV2u0w5HltO5PGqa4zqkm784R+Edzxxhwmfp+g1UWg2UUvdknr6Gb8qcqysT1qlmypmmufVOH1LFlESPY6onHpXCMs5BSnUUAAAAKHg7d+7UlVdeqU2bNtmWrSavGea5kZrqOVBqkWmye/fdd6tfv37q1atXhrbK+/fvV58+fVzbwsLC1LVrV61YsSLL8yUlJdm5cNyXQGVCafrFSI4/mKPpXBIO5c9nlxYUrP9GtffYFuHwrOya+UiP/f6X9j87U3uHTdLum8Zozx3jFfPaC0r+ZnW+XBcAAACAzN13332qV6+eDhw4oNKlS9uulEuXLrXNeM2UMN7ya4V0zpw5Wrt2rW2ym54Jo4apiLoz63v27Mm2L+q4cePy4WqLBxNKD0RWtM/N4ESesdBzOpcS5c8cl1vpq5pGkMOhi/ZuV69jvyjUkaoSyv5fUCqcPK7Q+ASFlo9S2Q4tFVIuUkExUsKGtdrz/XsK3v2Xout5PwEvAAAAgJz78ccf9d1339lBjYKDg+1y0UUX2fw1bNgwOwVMkaqQxsTE2JT97rvvqlSpUlke5ywBO5nScPpt7kaNGqVjx465FvM+8FSpaSeVCArSU3/3GVUm07mY/VHtOmX60WXWbDazEOr0RVwLOYKCtKp6HYUoVXVSDqt6SvZzjZo73KOpVPHWK1T2olaKKNNMZZs0U7Xr/qXSlWvrzz9/5rYCAAAABcQ0yS1b9szgpBUrVtSff/5pn5vBjcwYP97yWyBds2aN4uLi1Lp1a4WGhtplyZIlevHFF+1zZ2XUWSl1Mq9JXzV1Z5r1RkZGeizwVH53qsqd181O22IGMPrRNM/9+9Gsm+1lLuqm4NDcF9CzC6anSpTUY5Wu0N7Q8jk6V7WDxzIEYDPdS2ipsgoK8ntrcwAAACBgNG/eXBs3brTP27VrZwegXb58uZ544gk7JYy3/PZXfc+ePW2H2PXr17sW0/7YDHBknpsvqmrVqlq0aJHrNWYkJxNaO3Y0E48gL2q076/KLbrr66Agj+lczHp05+6qdEn/bF+f2yqp07GQ0hpd2YTScmc9tq122UdHWpocqalKOZ6ov7YsV3zMr6pdp+tZXw8AAADANx577DE79YthBqM13Sg7d+6s+fPn26JiketDaqZtMSnbXZkyZVShQgXXdjMn6YQJE9SwYUO7mOemA+2gQYP8dNXFL5RWa9PXjrprBjoqGVlR4X07eVUZzY2jf4fSiXFzXSPtZqaZYlVur7T9s48Vv+rHv0f7DVHNTleqRsk2+XqNAAAAAP5x8cUXu56b4qGZ/uXw4cMqV65ctl0qC/20L9kZOXKkTp48qaFDh+rIkSO2NLxw4cKAnoPUV9znKw1u8U+1MbGA/o84GlLGhtIJcXNVI4v+pMFyqHXYTh3u1ktRbdqrxK4Exe/Zqj+Wf6Kwc06odu0uBXOxAAAAQABLSUmx4/6YlqzuRcXy5XPWFS87haojnhku2Mw96mSS9tixYxUbG6tTp07Z5rrpq6rwbTjNjdzMCWoGNkrvcEhZPVrpSv0ZGpXl69qW2qES0eVUMbWWomo3Va3OV6tikw7aueNrJSd7zl0KAAAAwPfMGD9m8CJv5xotMoEU/mcGDSpIh0PLanSlKxQbkvngU+1K7chwTWaUXYcjTSdPHi6YiwQAAAAC3GOPPWZnNDHNdH2pUDfZRcFUOvPCVElT6p7MdJ8Z5KhZrdhsq6TGwdAIja58pSbGfaIqqWa83380LfmHyoSc0vHUf6YGSvhzu50YJjzcNBE44rOvBQAAAEDmzMBF27dvV/Xq1W211Iz/427t2rXyBoEUrjB7tEGY3z6Nv0Ij9GjlK/VE7GeqoaNKTZMGTDZ7HEoq86ESotsrNemEjuzcoKM716tW7S4qWdLMg0QgBQAAAPLbFVdckS/nJZDCL9JXT4240EgN0q26ZdVLGjsrWbtdrQHW2SU4tKRKV6qlOt0HqXzDNpIfKsIAAABAIBozZky+nJc+pMWEL5vr5rYfaWaDGzm35WRuUidz7K+rYnXz1GSdd1gyE72YBrzmsZ+ktJRkVWre+UwY/VtS01q5u1gAAAAAXjl69KimT5/u0ZfUNNXdt2+fdyckkCI/Qm1OR991D6vmuSMtTcdmfWHD5zxJ7U04/vvxs79D6f4V8+xxAAAAAArOxo0b1ahRIz3zzDN67rnnbDg15s6dawOqt6iQFgP+GMwoN1XS7Jgg6gymp37draTD8Rqdyf+YZt1sP3n8qBL37/TZdQMAAAA4uxEjRuimm27S77//buckderbt6+WLl0qbxFI4VOZhdCcNttNPXpmhN2sZpp1bj99It7r6wMAAACQe6tWrdKdd96ZYXuNGjW0f/9+FXgg3bFjh52L5oYbblBcXJzdtmDBAm3ZssXri0HOqqHpl8LCm6a67kKiI+zj5ixe59xeorTnnKX0IwUAAADyl6mKxsdnLAxt27ZNlSpVKthAumTJEp133nn66aef9MknnygxMdHVrji/Rl+CFLY1psh+DM6mudlVS0s1qauw8pEabwYwSrfPrD8lKbxMtMpWrZ/v1wsAAADgHwMGDNATTzyh06dP2/WgoCDt3btXjzzyiK666ioVaCA1bzp+/HgtWrRIJUuWdG3v3r27fvzRjImKQJJ+VN7cjtLrFBQcrKjBl+lLSZfLc5Rds262V+14hT0OAAAAQMExAxn99ddfqly5sk6ePKmuXbuqQYMGioiI0FNPmdJRAc5DumnTJr333nsZtptS7aFDh7y+GOS9SlrQzVe9DZ9ZKXNhM1UePkjfzPpCXx7+p0mAqYzW63iFouu1yPLrLsoVZAAAAKAwi4yM1LJly/Tdd9/ZqV7S0tJ0wQUXqFevXnk6r1eBNDo6WrGxsapXr57H9nXr1tlOrfAfE8r80afSBNPEOjnvY5pS92S2obR063N1enGsUhPiVfZEpG2mS2UUAAAA8K8ePXrYxVe8avs4aNAgPfzww3Y0JdN22KTj5cuX68EHH9TgwYN9dnEoWkwozapimtMBj5xM+Cxdv4EiWl6giOoNCKMAAACAn3377be67LLLdM4559jmuub5N998U/CB1LQRrl27tq2GmgGNmjZtqi5duqhjx4525F34V0E1Xc2uua5znwmi3s5RmluMtgsAAADkj5dfflmXXHKJ7TN63333adiwYbYZ76WXXmr3FWiT3RIlSmj27Nl2lCXTTNdUSM8//3w1bNjQ6wtB4WCmkTnaICxHTXCLYh9VAAAAALk3ceJEPf/887rnnntc20wo7dSpky1Yum/P90DqZEq1ZkHg8SYopg+5pkqaVV/Ss1VQC9P8qwAAAEBxFx8fbyuk6fXp08d25/RWjgPpiBEjcnzSKVOmeHs9KEZh1NsqqzOMZvU+hFEAAACgYF1++eWaO3euHnroIY/tn376qfr375//gdQ0zXW3Zs0apaamqnHjxnb9t99+U0hIiFq3bu31xaD4Ntv1xWBHBFEAAADAP84991zbNHfx4sXq0KGD3bZy5Uo7uO0DDzygF1980aMpr88D6ffff+9RATWdWWfOnKly5crZbUeOHNHNN9+szp075/jNUfQUVJ9O9/chiAIAAAD+NWPGDJv9tm7dahf3KUHNPiczC0u+BFJ3kydP1sKFC11h1DDPx48fb9sQm4SM4sG9SpqbMOpeZc3qfNm9p/t5AAAAAPjXrl278uW8wd52aD1w4ECG7XFxcUpISPDFdcHP3INgdvOL5uf7E0YBAACA4s2rCumVV15pm+eaSmn79u1d7YdNB9eBAwf6+hpRxOQlSDLNCwAAAFD4OBwOffTRR7YrpylEmqk/3X3yyScFF0hfe+01Pfjgg/q///s/nT59+syJQkN166236tlnn/XqQlD8OJvtpne2Zrt5CbRJTWspbGuM168HAAAAkNF9992nN954Q927d1eVKlVsX1Ff8CqQli5dWq+++qoNnzt27LBpuUGDBipTpoxPLgqFO1Ce7TXeojoKAAAAFE7vvvuurYJeeumlPj2vV4HUyQTQFi1a+O5qUGRlFUS9rZICAAAAKDyioqJUv359n5/Xq0BqyrTZlWi/++67vFwTiliV1BeDDzmro744F812AQAAAN8aO3asxo0bp7feekvh4eH+DaStWrXyWDf9SNevX6/NmzdryJAhvro2FHNUSQEAAICi4ZprrtH777+vypUrq27duipRooTH/rVr1xZcIH3++eezTM2JiYleXQiKZpU0JxXNs1VZ86PvKFVSAAAAwHduuukmrVmzxg5s6/dBjbJiLq5t27Z67rnnfHlaFGPuYZR5RwEAAICzmzhxoh1g6Ndff7XNZzt27KhnnnlGjRs3zsGrpeXLl6tr165q3ry5bemaE19++aW+/vprXXTRRfKlYF+e7Mcff1SpUqV8eUoUEpmFxdwESMImAAAA4BtLlizR3XffrZUrV2rRokVKSUlRnz59dPz48bO+9tixYxo8eLB69uyZq/esVauWIiMj5WteVUgHDhzosW6mfYmNjdXq1av1n//8x1fXhjwwc3GaZqu+lFWoPNu8n87ryGvT39yi2S4AAACKowULFnisv/3227Zvp2lS26VLl2xfe+edd2rQoEEKCQnRvHnzcvyekydP1siRI/Xaa6/ZPqR+DaQmGbu3GQ4ODrbl4SeeeMImcwSOs4VR5zE5CaUAAABAoIuPj/dYDwsLs8vZqp5G+fLlsz3OBNcdO3bYOUXHjx+f6+6ZJ06c0DnnnKPSpUtnGNTo8OHDKrBA+s4773j1Zgi8MJqTUEpzXgAAABQlIXvDFeLjroqpp4JcTWPdjRkzxg4emxXTWnXEiBG2b6fpE5qV33//XY888oh++OEHhYbmPgZOnTpV+cGrQGomRF21apUqVKjgsf3o0aO64IILtHPnTl9dHwpZs93chNDsFFQIpdkuAAAAipKYmBiPvppnq47ec8892rhxo5YtW5blMampqbaZrplHtFGjRl5dV35N7+lVIN29e7f9otJLSkrSvn37fHFdKITyGkbzIyADAAAAxUlkZGSOBw+699579dlnn2np0qWqWbNmlsclJCTY8X7WrVtnA6yRlpZmq6umWrpw4UL16NHjrO9nmvs6m/2+8MILtt+q6c9qqrrNmjVTvgdS88U6mSF/o6KiXOsmoH777bc+7eCK4odQCgAAAOSNw+GwYXTu3LlavHix6tWrl+3xJuBu2rTJY9urr76q7777Th999NFZX+8c2bdv377q1KmTDcBPPfWUDaSmOjt9+nR7nnwPpFdccYV9NAMapS/Zmk6tJoya0ZdQ/Piqqa4/0GwXAAAAxcndd9+t9957T59++qkiIiK0f/9+u90UDM28pMaoUaNs69VZs2bZQWjT9y81YdJM2Zldv1N3pv+pGQjJ9Fc17+nUvXt3Wy31Vq4CqSnrGiZBmz6kFStW9PqNEbiokgIAAADemzZtmn3s1q2bx3bTnPamm26yz820nHv37vXZx2wqrCYEp1epUiUdOnSoYPuQ7tq1y+s3RNFRlKuiAAAAQHFuspvXmVHMyL3Zjd6bXnR0tA256Zv3mn6pNWrUUL4H0hdffFF33HGHLeua59kZNmyY1xcE36IaeQbNdgEAAADvmVF6H374YX344Ye2C6dpPbt8+XI9+OCDGjx4cP4H0ueff1433nijDaTmeVbMxRFIi778ro4SlAEAAICiwwxiZJoDm2qoqdA2bdrUNZ3MY489lv+B1L2ZLk12AQAAACBwlChRQrNnz9aTTz6ptWvX2grp+eefr4YNG+bpvMHevOiJJ57QiRMnMmw/efKk3QcURsyBCgAAAHjHmQHr16+vq6++Wtdee60No3nNgF4F0nHjxikxMTHDdnOBZh+KtoIazIhBkwAAAICiIb8yoFeB1LQZNn1F09uwYYPKly/v9cUAAAAAAAqf/MqAuZr2pVy5cvYizNKoUSOPCzIdWk1ivuuuu7y+GAReJfJs10YzWwAAAMB/8jsD5iqQTp061SbjW265xZZlo6KiXPtKliypunXrqkOHDl5fDJAeo/ECAAAA/pPfGTBXgXTIkCH20UyG2rFjRzvSEgAAAACgeBrilgE7deqk0NBcRciz8upsXbt2dT03oyqdPn3aY39kZGTerwwAAAAAUCi4Z0Bf8mpQIzOS0j333KPKlSurbNmytl2x+wIESh9YAAAAAAUcSB966CF99913evXVVxUWFqbp06fb9sTVq1fXrFmz8nA5AAAAAIBA4VUg/fzzz20YNROimjbEnTt31mOPPaYJEyZo9uzZvr9KBDxfVUkZtRcAAAAo4oH08OHDtlOrs7+oWTcuuugiLV261LdXCLiFUprvAgAAAP6zfft2ff3113YsIcOMwFvggbR+/fravXu3fd60aVP973//c1VO3YcBBvIDoRQAAAAoWIcOHVKvXr3sXKSXXnqpYmNj7fbbbrtNDzzwQMEG0ptvvlkbNmywz0eNGuXqS3r//fdr5MiRXl8MUBBotgsAAADkjsl6prvm3r17Vbp0adf26667TgsWLFCBTvtiLsape/fu+vXXX7V69WpVqlRJb7/9ttcXAwAAAAAofBYuXGib6tasWdNje8OGDbVnz56CrZCmV7t2bQ0cOND2J505c6YvTglki2a7AAAAQME5fvy4R2XU6eDBg7a1rF8DKVDU0GwXAAAAyLkuXbp4TPEZFBSktLQ0Pfvss7bVbIE22QUAAAAABI5nn31W3bp1s101k5OT7dhBW7ZssTOuLF++3OvzUiEFAAAAAGTLzK6yceNGtW3bVr1797ZNeE23zXXr1umcc85RgVRIzRtm5+jRo15fCAAAAACg8KpatarGjRvn03PmKpCebY5Rs3/w4MF5vSYAAAAAQCFiZlMpW7asrrnmGo/tH374oU6cOKEhQ4bkfyBlShcAAAAACDxPP/20XnvttQzbK1eurDvuuMPrQEofUgAAAABAtsxco/Xq1cuwvU6dOtq7d6+8RSAFAAAAAGTLVELNoEbpbdiwQRUqVJC3CKQossK2xvj7EgAAAICAcP3112vYsGH6/vvvlZqaapfvvvtO9913n91XJAPptGnT1KJFC0VGRtqlQ4cO+uqrr1z7HQ6Hxo4dq+rVqys8PNzOe2PmugEAAAAAFJzx48erXbt26tmzp81mZunTp4969OihCRMmFM1AWrNmTds51kyuahbzxQwYMMAVOidNmqQpU6bo5Zdf1qpVq+www2bOm4SEBH9eNoqJpKa1/H0JAAAAQJFQsmRJffDBB/r11181e/ZsffLJJ9qxY4feeustu89buRpl19f69+/vsf7UU0/ZqunKlSvtxKtTp07V6NGjXfOfzpw5U1WqVNF7772nO++8009XjcLWbJdgCQAAABSMRo0a2cVX/BpI3Zk2yGYOm+PHj9umu7t27dL+/fttGdgpLCxMXbt21YoVK7IMpElJSXZxio+PL5DrR9Fkwix9UQEAAICz++OPP/TZZ5/ZUXWTk5M99pmWrUUykG7atMkG0FOnTtmJVufOnWuroyZ0GqYi6s6smyGHszJx4kSNGzcu368bAAAAAALFt99+q8svv9xO/bJt2zY1b95cu3fvtuP+XHDBBUV3lN3GjRtr/fr1tpnuv//9bzuh6tatW137g4KCPI43X3D6be5GjRqlY8eOuZaYGEZiLe6ocAIAAAD5y+SsBx54QJs3b1apUqX08ccf26xlWrBec801RTeQmg6wDRo0UJs2bWx1s2XLlnrhhRfsAEaGabbrLi4uLkPV1J1p1usctde5ANmhDyoAAACQvV9++cUWD43Q0FCdPHnStnB94okn9Mwzz6jIBtL0TAXU9AE1pWATShctWuTaZ9opL1myRB07dvTrNQIAAABAIClTpoxrrB4zLacZYdfp4MGDXp/Xr31IH330UfXt21e1atWyU7nMmTNHixcv1oIFC2yz3OHDh9s5bRo2bGgX87x06dIaNGiQPy8bhRCj7QIAAAD5p3379lq+fLkd76dfv362+a4ZD8hM/2L2FclAeuDAAf3rX/9SbGysoqKi1KJFCxtGzVyjxsiRI20peOjQoTpy5IidiHXhwoWKiIjw52WjGGK0XQAAACBrZhTdxMRE+3zs2LH2uZmX1HS/fP7551UkA+mMGTOy3W+qpOaLNQsAAAAAoOC8+OKLuuOOO+wgRqbf6HnnnWe3m1arr776qk/eo9D1IQX8NdougxsBAAAA/xgxYoTi4+PtczPGz19//SVf8/s8pAAAAACAwscMXmSmd7n00kvt4LN//PGHTp06lemxtWvX9uo9CKQAAAAAgAwee+wx3Xvvvbrnnntsd8oLL7wwwzEmqJp9qamp8gaBFHDD4EYAAADAGab/6A033KA9e/bYAWi/+eYbVahQQb5EIAUAAAAAZMrMcHLuuefqrbfeso/VqlWTLzGoEQAAAAAgSyEhIbrrrruy7D+aFwRSAAAAAEC2zJQvO3fulK/RZBfIh+lf8joFDQAAAFCYPPXUU3rwwQf15JNPqnXr1ipTpozH/sjISK/OSyAF8gFzmp4doR0AAKDouOSSS+zj5ZdfbkfVdWKUXQBFUnEN7QRtAABQEJYuXapnn31Wa9asUWxsrObOnasrrrgi29fMnj1bkyZN0u+//66oqCgbMp977rkcjZz7/fffKz9QIQUAHyGMAgCAgnL8+HG1bNlSN998s6666qqzHr9s2TINHjxYzz//vPr37699+/bZgYpuu+02G2bPpmvXrsoPBFIA8BIBFAAA+Fp8fLzn3xthYXZJr2/fvnbJqZUrV6pu3boaNmyYXa9Xr57uvPNOWzHNaUU2O126dJE3CKQAkEMEUAAAYJSNkUJK+vazSE0+81irlme3pjFjxmjs2LF5Pn/Hjh01evRozZ8/3wbZuLg4ffTRR+rXr1+OXt+tW7cM29z7kqampnp1XQRSAMgCARQAABS0mJgYjxFrM6uOehtITR/S6667zs4nmpKSYgcoeumll3L0+iNHjnisnz59WuvWrdN//vMfOwKvtwikAPA3AigAAPC3yMhIr6dQyc7WrVttc93HH39cF198sR0I6aGHHrL9SGfMmHHW15tBkNLr3bu3Dcz333+/HVzJGwRSAAGLAAoAAALFxIkT1alTJxtCjRYtWti5RDt37qzx48erWrVqXp23UqVK2rZtm9fXRSAFEDAIoAAAIFCdOHFCoaGe8S8kJMQ1l+jZbNy40WPdvMZUWZ9++mk72q+3CKQAii0CKAAAKK4SExO1fft21/quXbu0fv16lS9fXrVr19aoUaPs1C6zZs2y+81UL7fffrumTZvmarI7fPhwtW3bVtWrVz/r+7Vq1coOYpQ+vLZv315vvfWW118HgRRAsUIIBQAAgWD16tXq3r27a33EiBH2cciQIXrnnXds4Ny7d69r/0033aSEhAS9/PLLeuCBBxQdHa0ePXromWeeydH7mcDrLjg42DbXLVWqVJ6+DgIpgCKNAAoAAAJRt27dsm1qa0Jpevfee69dvFGnTp0M244ePZrnQBqcp1cDgJ9CqHMBAABA/jOV1A8++MC1fu2119rmwTVq1NCGDRu8Pi+BFECRQAgFAADwn9dff121atWyzxctWmSXBQsWqG/fvq6Re71Bk10AhRYVUAAAgMLB9El1BtIvvvjCVkj79OmjunXrql27dl6flwopgEKFSigAAEDhU65cOcXEnOkuZSqjvXr1ss9NP9bU1FSvz0uFFIDfUQkFAAAo3AYOHKhBgwapYcOGOnTokG2qa5ipZho0aOD1eQmkKHbBJqnpmaYEKPwIogAAAEXD888/b5vnmirppEmTVLZsWVdT3qFDh3p9XgIpAL8gjAIAABQdJUqU0IMPPphh+/Dhw/N0XvqQAihwhFEAAAAYBFIUO4Sdwo37AwAAACcCKYACQxgFAACAOwIpAAAAAMAvCKQACgTVUQAAAKRHIEWxRPgpXLgfAAAARVtqaqqee+45tW3bVlWrVlX58uU9Fm8RSAHkK8IoAABA0Tdu3DhNmTJF1157rY4dO6YRI0Zo4MCBCg4O1tixY70+L4EUQL4hjAIAABQPs2fP1ptvvmnnIg0NDdUNN9yg6dOn6/HHH9fKlSu9Pi+BFEC+IIwCAAAUH/v379d5551nn5ctW9ZWSY3LLrtMX375pdfnJZAC8DnCKAAAQPFSs2ZNxcbG2ucNGjTQwoUL7fNVq1YpLCzM6/MSSAEAAAAA2bryyiv17bff2uf33Xef/vOf/6hhw4YaPHiwbrnlFnkr1OtXAkAmqI4CAAAUP08//bTr+dVXX20rpitWrLDV0ssvv9zr8xJIAfhUUtNamW4nqAIAABQf7du3t0te0WQXQIEF1awWAAAAFH7//e9/1alTJ1WvXl179uyx26ZOnapPP/3U63MSSAH4HWEVAACgcJs2bZqde/TSSy/V0aNHlZqaardHR0fbUOotmuwCKNTOVkGlKTAAAED+e+mll+w8pFdccYVHf9I2bdrYuUm9RSAFUGwDK2EVAADAN3bt2qXzzz8/w3Yz5cvx48e9Pi+BFECxRXUVAADAN+rVq6f169erTp06Htu/+uorNW3a1OvzEkgBBCyqqwAAADnz0EMP6e6779apU6fkcDj0888/6/3339fEiRM1ffp0eYtACgBnCas0/QUAAIHu5ptvVkpKikaOHKkTJ05o0KBBqlGjhl544QVdf/31Xp+XQAoA2SCMAgAAnHH77bfb5eDBg0pLS1PlypWVV0z7AgBZIIwCAACccfLkSVsZNSpWrGjXzXQvCxcuVF4QSAEgE4RRAACAfwwYMECzZs2yz808pG3bttXkyZPtdjNHqbcIpACQDmEUAADA09q1a9W5c2f7/KOPPlLVqlW1Z88eG1JffPFFeYs+pADwN4IoAABA5kxz3YiICPvcNNMdOHCggoOD1b59extMvUWFFAAIowAAANlq0KCB5s2bp5iYGH399dfq06eP3R4XF6fIyEh5i0AKIOBRGQUAAMje448/rgcffFB169ZVu3bt1KFDB1e19Pzzz5e3aLILICARQgEAAHLu6quv1kUXXaTY2Fi1bNnStb1nz5668sor5S0CKYp14EhqWsvflwE/IXACAAD4lhnIyCzuzGi7eUEgBVDkEDYBAACKBwIpgEKHwAkAABAYCKQo1mi2WzgROAEAAGAQSAEQOAEAAOAXBFIAuUaFEwAAAL5AIEWxR7Nd7z4zAAAAIL8RSIEcIKABAAAAvkcgBdIhfAIAAAAFI7iA3gfwK0ImAAAAUPgQSAEAAAAAfkEgBdxQSQUAAEBRsHTpUvXv31/Vq1dXUFCQ5s2bl+3xn3zyiXr37q1KlSopMjJSHTp00Ndff62ADqQTJ07UhRdeqIiICFWuXFlXXHGFtm3b5nGMw+HQ2LFj7QcdHh6ubt26acuWLX67ZhRdhE0AAAAUF8ePH1fLli318ssv5zjAmkA6f/58rVmzRt27d7eBdt26dQrYQY2WLFmiu+++24bSlJQUjR49Wn369NHWrVtVpkwZe8ykSZM0ZcoUvfPOO2rUqJHGjx9vP0gTXE2QBXyFwAoAAICiom/fvnbJqalTp3qsT5gwQZ9++qk+//xznX/++QrIQLpgwQKP9bfffttWSk1i79Kli62Omg/OBNWBAwfaY2bOnKkqVarovffe05133pnhnElJSXZxio+PL4CvBEUFc5ICAACgMItPl1/CwsLs4mtpaWlKSEhQ+fLl5U+FatqXY8eO2Ufnh7Jr1y7t37/fVk2dzM3o2rWrVqxYkWkgNc2Ax40bV4BXjaKGSigAAADyImpnkkJDg3z6IaaknCmq1apVy2P7mDFjbBdGX5s8ebJt9nvttdfKnwpNIDXV0BEjRuiiiy5S8+bN7TYTRg1TEXVn1vfs2ZPpeUaNGmXP4/4vDOlvKgAAAAAURjExMXbQIaf8qI6+//77NuSaJrumhao/FZpAes8992jjxo1atmxZhn1m1Kj04TX9tvwuaQMAAABAfouMjPQIpL72wQcf6NZbb9WHH36oXr16yd8KxbQv9957rz777DN9//33qlmzpmt71apVPSqlTnFxcRmqpgAAAACA7CujN910kx2Pp1+/fioM/BpITaXTVEbNnDjfffed6tWr57HfrJtQumjRIte25ORkOzpvx44d/XDFAAAAAOB/iYmJWr9+vV2c4++Y53v37nV1ZRw8eLBHGDXrpu9o+/btbdHPLM5xfAIykJopX959912b0M0ULs4P5eTJk3a/aZY7fPhwOyTx3LlztXnzZpvoS5curUGDBvnz0gEAAADAb1avXm2na3FO2WLG0THPH3/8cbseGxvrCqfG66+/bqfaNBmsWrVqruW+++5TwPYhnTZtmn3s1q1bhulfTPA0Ro4caQPq0KFDdeTIEbVr104LFy5kDlIAAAAAAatbt262xWlW3nnnHY/1xYsXqzDyayDN7gN0MlVSMwJUfgx1DAAAAAAI8EGNAAAAAACBh0AKAAAAAPALAikAAAAAwC8IpAAAAAAAvyCQAgAAAAD8gkAKAAAAAPALAikAAAAAwC8IpAAAAAAAvyCQAgAAAAD8gkAKAAAAAPALAikAAAAAwC8IpAAAAAAAvyCQAgAAAAD8gkAKAAAAAPALAikAAAAAwC8IpAAAAAAAvyCQAgAAAAD8gkAKAAAAAPALAikAAAAAwC8IpAAAAAAAvyCQAgAAAAD8gkAKAAAAAPALAikAAAAAwC8IpAAAAAAAvyCQAgAAAAD8gkAKAAAAAPALAikAAAAAwC8IpAAAAAAAvyCQAgAAAAD8gkAKAAAAAPALAikAAAAAwC8IpAAAAAAAvyCQAgAAAAD8gkAKAAAAAPALAikAAAAAwC8IpAAAAAAAvyCQAgAAAAD8gkAKAAAAAPALAikAAAAAwC8IpAAAAAAAvyCQAgAAAAD8gkAKAAAAAPALAikAAAAAwC8IpAAAAAAAvyCQAgAAAAD8gkAKAAAAAPALAikAAAAAFEGvvvqq6tWrp1KlSql169b64Ycfsj0+KSlJo0ePVp06dRQWFqZzzjlHb731lvwp1K/vDgAAAADItQ8++EDDhw+3obRTp056/fXX1bdvX23dulW1a9fO9DXXXnutDhw4oBkzZqhBgwaKi4tTSkqK/IlACgAAAABFzJQpU3Trrbfqtttus+tTp07V119/rWnTpmnixIkZjl+wYIGWLFminTt3qnz58nZb3bp15W802QUAAACAQiI+Pt5jMc1s00tOTtaaNWvUp08fj+1mfcWKFZme97PPPlObNm00adIk1ahRQ40aNdKDDz6okydPyp+okAIAAABALoT9uk+hwSV9+pmFpCXbx1q1anlsHzNmjMaOHeux7eDBg0pNTVWVKlU8tpv1/fv3Z3p+UxldtmyZ7W86d+5ce46hQ4fq8OHDfu1HSiAFAAAAgEIiJiZGkZGRrnUz+FBWgoKCPNYdDkeGbU5paWl23+zZsxUVFeVq9nv11VfrlVdeUXh4uPyBJrsAAAAAUEhERkZ6LJkF0ooVKyokJCRDNdQMUpS+aupUrVo121TXGUaNc88914bYP/74Q/5CIAUAAACAIqRkyZJ2mpdFixZ5bDfrHTt2zPQ1ZiTeP//8U4mJia5tv/32m4KDg1WzZk35C4EUAAAAAIqYESNGaPr06bb/5y+//KL7779fe/fu1V133WX3jxo1SoMHD3YdP2jQIFWoUEE333yznRpm6dKleuihh3TLLbf4rbmuQR9SAAAAAChirrvuOh06dEhPPPGEYmNj1bx5c82fP1916tSx+802E1CdypYtayuo9957rx1t14RTMy/p+PHj/fhVSEEO02i4GDNDJZt20r0q3+bzkbAAAAAA5E5KWrK+iZuuY8eOeQzeE+jZIqUIfy55QZNdAAAAAIBfEEgBAAAAAH5BIAUAAAAA+AWBFAAAAADgFwRSAAAAAIBfEEgBAAAAAH5BIAUAAAAA+AWBFAAAAADgFwRSAAAAAEDgBdKlS5eqf//+ql69uoKCgjRv3jyP/Q6HQ2PHjrX7w8PD1a1bN23ZssVv1wsAAAAAKCaB9Pjx42rZsqVefvnlTPdPmjRJU6ZMsftXrVqlqlWrqnfv3kpISCjwawUAAAAA+Fao/Khv3752yYypjk6dOlWjR4/WwIED7baZM2eqSpUqeu+993TnnXcW8NUCAAAAAAKiD+muXbu0f/9+9enTx7UtLCxMXbt21YoVK7J8XVJSkuLj4z0WAAAAAEDhU2gDqQmjhqmIujPrzn2ZmThxoqKiolxLrVq18v1aAQAAAADFKJA6mcGO0jflTb/N3ahRo3Ts2DHXEhMTUwBXCQAAAAAoUn1Is2MGMDJMNbRatWqu7XFxcRmqpu5Ms16zAAAAAAAKt0JbIa1Xr54NpYsWLXJtS05O1pIlS9SxY0e/XhsAAAAAoIhXSBMTE7V9+3aPgYzWr1+v8uXLq3bt2ho+fLgmTJighg0b2sU8L126tAYNGuTPywYAAAAAFPVAunr1anXv3t21PmLECPs4ZMgQvfPOOxo5cqROnjypoUOH6siRI2rXrp0WLlyoiIgIP141AAAAAKDIB9Ju3brZQYqyYgYvGjt2rF0AAAAAAMVLoe1DCgAAAAAo3gikAAAAAAC/IJACAAAAAPyCQAoAAAAA8AsCKQAAAADALwikAAAAAAC/IJACAAAAAPyCQAoAAAAA8AsCKQAAAADALwikAAAAAAC/IJACAAAAAPyCQAoAAAAA8AsCKQAAAADALwikAAAAAAC/IJACAAAAAPyCQAoAAAAA8AsCKQAAAADALwikAAAAAAC/IJACAAAAAPyCQAoAAAAA8AsCKQAAAADALwikAAAAAAC/IJACAAAAAPyCQAoAAAAA8AsCKQAAAADALwikAAAAAAC/IJACAAAAAPyCQAoAAAAARdCrr76qevXqqVSpUmrdurV++OGHbI9fsmSJPc4cX79+fb322mvyNwIpAAAAABQxH3zwgYYPH67Ro0dr3bp16ty5s/r27au9e/dmevyuXbt06aWX2uPM8Y8++qiGDRumjz/+WP5EIAUAAACAImbKlCm69dZbddttt+ncc8/V1KlTVatWLU2bNi3T4001tHbt2vY4c7x53S233KLnnntO/hSqYs7hcNjHlLRkf18KAAAAEPCcf5c7/04vilIcyVJaPpxTUnx8vMf2sLAwu7hLTk7WmjVr9Mgjj3hs79Onj1asWJHp+X/88Ue7393FF1+sGTNm6PTp0ypRooT8odgH0oSEBPu4+OAsf18KAAAAALe/06OioorU51GyZElVrVpVi/fnT7YoW7asrXK6GzNmjMaOHeux7eDBg0pNTVWVKlU8tpv1/fv3Z3pusz2z41NSUuz5qlWrJn8o9oG0evXqiomJUUREhIKCghQozL+smP+ZzdceGRnp78tBOtyfwo37U3hxbwo37k/hxv0pvALt3pjKqAmj5u/0osYMBmT6YpoKZX59NkHpMkv66qi79Mdm9vqzHZ/Z9oJU7ANpcHCwatasqUBlfqgFwg+2oor7U7hxfwov7k3hxv0p3Lg/hVcg3ZuiVhlNH0rN4k8VK1ZUSEhIhmpoXFxchiqok6nsZnZ8aGioKlSoIH9hUCMAAAAAKGJNh1u3bq1FixZ5bDfrHTt2zPQ1HTp0yHD8woUL1aZNG7/1HzUIpAAAAABQxIwYMULTp0/XW2+9pV9++UX333+/nfLlrrvusvtHjRqlwYMHu4432/fs2WNfZ443rzMDGj344IN+/CoCoMluoDJtzU0H6OzanMN/uD+FG/en8OLeFG7cn8KN+1N4cW/gjeuuu06HDh3SE088odjYWDVv3lzz589XnTp17H6zzX1O0nr16tn9Jri+8sortg/viy++qKuuukr+FOQoyuMtAwAAAACKLJrsAgAAAAD8gkAKAAAAAPALAikAAAAAwC8IpAAAAAAAvyCQFgNPPfWUnW+odOnSio6OzvSYoKCgDMtrr73mccymTZvUtWtXhYeHq0aNGnbELsa8yv97Y0Y/69+/v8qUKWMnOR42bJiSk5O5N35Qt27dDN8njzzySK7vF/LPq6++akcJNBOSm/nXfvjhBz7uAjZ27NgM3ydmsnUn83vDHGNGbzS/T7p166YtW7Zwn/LJ0qVL7c8k83mbezFv3jyP/Tm5H0lJSbr33nvtzzTzs+3yyy/XH3/8wT0rgPtz0003Zfh+at++PfcHAYVAWgyYP4avueYa/fvf/872uLffftsO/+xchgwZ4toXHx+v3r172x+Yq1at0ksvvaTnnntOU6ZMKYCvIHDvTWpqqvr166fjx49r2bJlmjNnjj7++GM98MADrmO4NwXLOXS6c3nsscdydb+Qfz744AMNHz5co0eP1rp169S5c2f17dvXY0h7FIxmzZp5fJ+Yf9B0mjRpkv3d8fLLL9vfJyasmt8vCQkJ3J58YH4etWzZ0n7emcnJ/TDfV3PnzrU/08zPtsTERF122WX2Zx7y9/4Yl1xyicf3k5mWwx33B8WemfYFxcPbb7/tiIqKynSfudVz587N8rWvvvqqfe2pU6dc2yZOnOioXr26Iy0tLV+uN5BkdW/mz5/vCA4Oduzbt8+17f3333eEhYU5jh07Zte5NwWnTp06jueffz7L/Tm5X8g/bdu2ddx1110e25o0aeJ45JFH+NgL0JgxYxwtW7bMdJ/5fVG1alXH008/7dpmfq+Yn3+vvfZaAV5lYEr/uz4n9+Po0aOOEiVKOObMmeM6xvyMMz/rFixYUMBfQfGW2d9iQ4YMcQwYMCDL13B/EAiokAaQe+65xzbHufDCC21z3bS0NNe+H3/80TbXNRMzO1188cX6888/tXv3bj9dcfFnPnczibGpTLt/7qb51Jo1a1zHcG8KzjPPPKMKFSqoVatWtsm1e3PcnNwv5A9zH8xn3KdPH4/tZn3FihV87AXs999/t98Hpvn09ddfr507d9rtu3bt0v79+z3uk/m9Yn6GcZ8KXk7uh/m+On36tMcx5t6an3Xcs4KxePFiVa5cWY0aNdLtt9+uuLg41z7uDwJBqL8vAAXjySefVM+ePW3/kW+//dY2MTx48KCrOaL5hWX6z7mrUqWKa5/5owO+Zz5b5+fsVK5cOZUsWdLu494UrPvuu08XXHCBvQc///yzRo0aZf+gmz59eo7vF/KH+Xllmg+m//zNOp99wWrXrp1mzZpl/3g+cOCAxo8fb/vKm36JznuR2X3as2dPAV8pcnI/zDHmZ5j5WZb+GL638p/pdmC69tSpU8f+vvnPf/6jHj162CBq/vGA+4NAQIW0CA0akX5ZvXp1js9ngmeHDh1s1ceEUdNP7tlnn/U4xpzTnXNAo/TbA52v701mn6/57N23c28K5n7df//9tnLQokUL3XbbbbYlwYwZM3To0KFc3S/kn8y+F/jsC/4P6KuuukrnnXeeevXqpS+//NJunzlzJvepGH3f8L1VMK677jo7NoGpSJvBj7766iv99ttvru8r7g8CARXSQty81jSDyk76imZumBHczGA55l+3zb+CmkEO0v9LqLPJSPp/WQ10vrw35nP/6aefPLYdOXLENp9yfu7cG//dL+dIh9u3b7fNeHNyv5A/THeDkJCQTH9O8dn7lxmV1YRT04z3iiuusNvMfapWrZrrGO6TfzhHP87ufphjTJN487PMvUpqjjGVbxQsc59MtdR8P3F/ECiokBbiP76aNGmS7WKmPfCWGaHSvN45FYmpnpqhyd37yy1cuND2I8lL8C2OfHlvzOe+efNmO6qe++dumumYKS2cx3Bv/HO/zPeJ4fxDLif3C/nDNCk0n/GiRYs8tpt1/mj2L9OH+pdffrHfJ6Z7hwk47vfJ/F5ZsmQJ98kPcnI/zPdViRIlPI4xP+PMzzq+twqeaZETExPj+r3D/UFA8PeoSsi7PXv2ONatW+cYN26co2zZsva5WRISEuz+zz77zPHGG284Nm3a5Ni+fbvjzTffdERGRjqGDRvmMYpblSpVHDfccIM97pNPPrHHPPfcc9yifLw3KSkpjubNmzt69uzpWLt2reObb75x1KxZ03HPPfdwbwrYihUrHFOmTLH3Z+fOnY4PPvjAjjJ9+eWXu47Jyf1C/jGjgJrRQGfMmOHYunWrY/jw4Y4yZco4du/ezcdegB544AHH4sWL7ffJypUrHZdddpkjIiLCdR/MiK5mFFfze8T8PjG/V6pVq+aIj4/nPuUD8/vE+bvF/Fnn/Dlmfv/k9H6Y0avNzzLzM838bOvRo4cdSdn8zEP+3R+zz3w/md8/u3btcnz//feODh06OGrUqMH9QUAhkBYDZshw80Mu/WJ+sBlfffWVo1WrVjYQlS5d2v5BPXXqVMfp06c9zrNx40ZH586d7RQWZpj4sWPHMuVLPt8bw/xS6tevnyM8PNxRvnx5G27cp9/h3hSMNWvWONq1a2f/cCtVqpSjcePGdnqL48ePexyXk/uF/PPKK6/Y6XlKlizpuOCCCxxLlizh4y5g1113nQ005h8HzD/aDBw40LFlyxaPqUbM9475PWJ+n3Tp0sUGIeQP8/sks98z5vdPTu/HyZMn7c8y8zPN/Gwz/8iwd+9eblk+358TJ044+vTp46hUqZL9fqpdu7bdnv6z5/6guAsy//F3lRYAAAAAEHjoQwoAAAAA8AsCKQAAAADALwikAAAAAAC/IJACAAAAAPyCQAoAAAAA8AsCKQAAAADALwikAAAAAAC/IJACAAAAAPyCQAoAKBJ2796toKAgrV+/Pl/Ob849b968fDk3AADIHIEUAJAjN910k6644gq/fVq1atVSbGysmjdvbtcXL15sQ+TRo0f9dk0AACBvQvP4egAACkRISIiqVq3Kpw0AQDFChRQAkGdLlixR27ZtFRYWpmrVqumRRx5RSkqKa3+3bt00bNgwjRw5UuXLl7fBcuzYsR7n+PXXX3XRRRepVKlSatq0qb755huPZrTuTXbN8+7du9vt5cqVs9tNBdeoW7eupk6d6nHuVq1aebzf77//ri5durjea9GiRRm+pn379um6666z569QoYIGDBhg3xcAAPgOgRQAkCcmuF166aW68MILtWHDBk2bNk0zZszQ+PHjPY6bOXOmypQpo59++kmTJk3SE0884QqCaWlptjlw6dKl7f433nhDo0ePzrb57scff2yfb9u2zTblfeGFF3J0vea9Bg4caCuuK1eu1GuvvaaHH37Y45gTJ07YwFu2bFktXbpUy5Yts88vueQSJScne/EpAQCAzNBkFwCQJ6+++qoNiC+//LKtVDZp0kR//vmnDXmPP/64goPP/NtnixYtNGbMGPu8YcOG9vhvv/1WvXv31sKFC7Vjxw7bL9TZLPepp56y+zJjwqSptBqVK1dWdHR0jq/XVF5/+eUXW+2sWbOm3TZhwgT17dvXdcycOXPsdU+fPt1+Tcbbb79t38dcY58+fbz+vAAAwD8IpACAPDHhrkOHDq7gZnTq1EmJiYn6448/VLt2bVcgdWea9sbFxbmqnCbUuvcRNU2A8+t6zTU5w6hhrt/dmjVrtH37dkVERHhsP3XqlA3OAADANwikAIA8cTgcHmHUuc1w316iRAmPY8w+03w2q3N4y1Q2ne/vdPr06QzXlv5a3Jnrat26tWbPnp3h2EqVKvnkOgEAAIEUAJBHZlAg05/TPVSuWLHCVhdr1KiRo3OYZr579+7VgQMHVKVKFbtt1apV2b6mZMmS9jE1NTVDYDR9Sp3i4+O1a9cuj+s172WaFVevXt1u+/HHHz3OccEFF+iDDz6wzYEjIyNz9DUAAIDcY1AjAECOHTt2zI5y677ccccdiomJ0b333mtHyv30009tX9ERI0a4+o+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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot centroid displacement path\n", "plot_displacement(motion_results['centroid_path'], event_intensity_180)" ] }, { "cell_type": "markdown", "id": "9dfdc713-2882-4c18-926c-4cb49b2ce918", "metadata": {}, "source": [ "### 7. Temporal measures" ] }, { "cell_type": "code", "execution_count": 47, "id": "c29db438-3820-4034-9fb2-e19f880f400d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Initial detection : 1981-01-01 00:00:00\n", "Duration : 7 timesteps\n" ] } ], "source": [ "temporal_results = run_temporal_measures(event_binary)\n", "\n", "print(f\"Initial detection : {temporal_results['initial_detection_date']}\")\n", "print(f\"Duration : {temporal_results['duration']} timesteps\")" ] }, { "cell_type": "markdown", "id": "2a0456c3-8c42-4112-b33a-d7b778e7a669", "metadata": {}, "source": [ "### 8. Intensity measures" ] }, { "cell_type": "code", "execution_count": 48, "id": "3483018a-7cf1-4748-8c42-6b2076c950de", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Max intensity : 1.5718 °C\n", "90th percentile (global) : 1.3864 °C\n", "\n", "Mean intensity : 0.9667 °C\n", "Std intensity : 0.1835 °C\n" ] } ], "source": [ "intensity_results = run_intensity_measures(event_intensity)\n", "\n", "print(f\"Max intensity : {intensity_results['max_intensity']:.4f} °C\")\n", "print(f\"90th percentile (global) : \"\n", " f\"{float(intensity_results['percentile_90_intensity_timeseries'].max()):.4f} °C\")\n", "\n", "# Full intensity metrics\n", "full_metrics = calculate_intensity_metrics(event_intensity, quantile_threshold=0.9)\n", "print()\n", "print(f\"Mean intensity : {full_metrics['mean_intensity']:.4f} °C\")\n", "print(f\"Std intensity : {full_metrics['std_intensity']:.4f} °C\")" ] }, { "cell_type": "code", "execution_count": 49, "id": "17b2f07d-fb98-4b60-b6c1-08019a4b0946", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(9, 3))\n", "full_metrics['mean_intensity_timeseries'].plot(ax=ax, label='mean', color='steelblue')\n", "full_metrics['max_intensity_timeseries'].plot(ax=ax, label='max', color='firebrick')\n", "ax.set_title(f'Event {int(object_id)} — intensity over time')\n", "ax.set_ylabel('SST anomaly (°C)')\n", "ax.legend(); plt.tight_layout(); plt.show(); plt.close()" ] }, { "cell_type": "markdown", "id": "9adef36c-5e0a-46bb-ba93-ea3ef20fd1ea", "metadata": {}, "source": [ "### 9. One event, all measures at once\n", "\n", "Use the convenience wrappers to run all measure groups in a single call." ] }, { "cell_type": "code", "execution_count": 50, "id": "61a3c94b-c39e-43c7-ae5d-c63410cd99f4", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "All measures computed for event 39\n", "Keys: ['shape_measures', 'motion_measures', 'temporal_measures', 'intensity_measures']\n" ] } ], "source": [ "measure_results = {}\n", "\n", "event_binary, event_intensity = get_object_masks(result_NP, var_notrend_NP,\n", " object_id=object_id)\n", "event_binary_180 = lons_to_180(event_binary.copy())\n", "event_intensity_180 = lons_to_180(event_intensity.copy())\n", "\n", "measure_results['shape_measures'] = run_shape_measures(\n", " event_binary, lon_resolution_value, lat_resolution_value)\n", "\n", "measure_results['motion_measures'] = run_motion_measures(\n", " event_binary_180, event_intensity_180)\n", "\n", "measure_results['temporal_measures'] = run_temporal_measures(event_binary)\n", "\n", "measure_results['intensity_measures'] = run_intensity_measures(event_intensity)\n", "\n", "print(\"All measures computed for event\", int(object_id))\n", "print(\"Keys:\", list(measure_results.keys()))" ] }, { "cell_type": "markdown", "id": "4bb5effd-5043-41f4-beeb-4b054352fd07", "metadata": {}, "source": [ "### 10. Multiple events, multiple measures\n", "\n", "`process_objects_and_calculate_measures` loops over a list of event IDs and\n", "returns a nested dict keyed by event ID. Individual measure groups can be\n", "switched on/off with boolean flags." ] }, { "cell_type": "code", "execution_count": 51, "id": "d01255b1-7d4d-4e8b-9a0b-6be3d1dbfb6f", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Processing event IDs: [np.float64(6.0), np.float64(9.0), np.float64(28.0)]\n", "Shape Measures complete.\n", "Temporal Measures complete.\n", "Intensity Measures complete.\n", "Shape Measures complete.\n", "Temporal Measures complete.\n", "Intensity Measures complete.\n", "Shape Measures complete.\n", "Temporal Measures complete.\n", "Intensity Measures complete.\n" ] } ], "source": [ "my_object_ids = list(ids_NP[:3]) # first 3 events in the North Pacific\n", "print(\"Processing event IDs:\", my_object_ids)\n", "\n", "results_multi = process_objects_and_calculate_measures(\n", " my_object_ids,\n", " blobs = result_NP,\n", " var_notrend = var_notrend_NP,\n", " run_shape = True,\n", " run_motion = False, # turn off motion for speed\n", " run_temporal = True,\n", " run_intensity = True,\n", " lon_resolution_value = lon_resolution_value,\n", " lat_resolution_value = lat_resolution_value,\n", ")" ] }, { "cell_type": "code", "execution_count": 52, "id": "e1557054-09f5-4075-bd94-9c04e6a51085", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Event ID Duration Max area (km²) Max intensity\n", "--------------------------------------------------------\n", "6 22 9613349 4.1525\n", "9 4 2002339 2.9356\n", "28 3 110139 0.7067\n" ] } ], "source": [ "# Summary table\n", "print(f\"{'Event ID':<12} {'Duration':>10} {'Max area (km²)':>16} {'Max intensity':>15}\")\n", "print(\"-\" * 56)\n", "for eid, res in results_multi.items():\n", " dur = res['temporal_measures']['duration']\n", " maxarea = res['shape_measures']['max_spatial_extent']\n", " maxint = res['intensity_measures']['max_intensity']\n", " print(f\"{int(eid):<12} {dur:>10} {maxarea:>16.0f} {maxint:>15.4f}\")" ] }, { "cell_type": "markdown", "id": "443a573b-64e0-4c1d-903d-6f080d6b21c9", "metadata": {}, "source": [ "## Example of a previous event has a centroid that moves more" ] }, { "cell_type": "code", "execution_count": 70, "id": "d97daf8f-0a96-4fb0-8636-cccc3ba6d658", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_displacement(centroid_path, event_intensity)" ] }, { "cell_type": "code", "execution_count": null, "id": "0650c68f-9271-4be5-b7a7-10dc166c6bfd", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "NPL 2026a", "language": "python", "name": "npl-2026a" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.13.11" } }, "nbformat": 4, "nbformat_minor": 5 }