diff --git a/bayes3d/genjax/model.py b/bayes3d/genjax/model.py
index d49b7d3f..6f667197 100644
--- a/bayes3d/genjax/model.py
+++ b/bayes3d/genjax/model.py
@@ -7,7 +7,6 @@
from genjax.incremental import Diff, NoChange, UnknownChange
import bayes3d as b
-import bayes3d.scene_graph
from .genjax_distributions import (
contact_params_uniform,
@@ -128,14 +127,14 @@ def get_far_plane(trace):
def add_object(trace, key, obj_id, parent, face_parent, face_child):
- N = get_indices(trace).shape[0] + 1
+ N = b.get_indices(trace).shape[0] + 1
choices = trace.get_choices()
choices[f"parent_{N-1}"] = parent
choices[f"id_{N-1}"] = obj_id
choices[f"face_parent_{N-1}"] = face_parent
choices[f"face_child_{N-1}"] = face_child
choices[f"contact_params_{N-1}"] = jnp.zeros(3)
- return model.importance(key, choices, (jnp.arange(N), *trace.get_args()[1:]))[0]
+ return model.importance(key, choices, (jnp.arange(N), *trace.get_args()[1:]))[1]
add_object_jit = jax.jit(add_object)
@@ -152,7 +151,7 @@ def print_trace(trace):
def viz_trace_meshcat(trace, colors=None):
- b.clear_visualizer()
+ b.clear()
b.show_cloud(
"1", b.apply_transform_jit(trace["image"].reshape(-1, 3), trace["camera_pose"])
)
@@ -224,14 +223,14 @@ def enumerator(trace, key, *args):
key,
chm_builder(addresses, args, chm_args),
argdiff_f(trace),
- )[0]
+ )[2]
def enumerator_with_weight(trace, key, *args):
return trace.update(
key,
chm_builder(addresses, args, chm_args),
argdiff_f(trace),
- )[0:2]
+ )[1:3]
def enumerator_score(trace, key, *args):
return enumerator(trace, key, *args).get_score()
@@ -302,4 +301,4 @@ def update_address(trace, key, address, value):
key,
genjax.choice_map({address: value}),
tuple(map(lambda v: Diff(v, UnknownChange), trace.args)),
- )[0]
\ No newline at end of file
+ )[2]
diff --git a/bayes3d/viser.py b/bayes3d/viser.py
deleted file mode 100644
index ca9e8a33..00000000
--- a/bayes3d/viser.py
+++ /dev/null
@@ -1,58 +0,0 @@
-import viser
-import random
-import time
-
-import imageio.v3 as iio
-import numpy as onp
-
-server.add_frame(
- "/tree",
- wxyz=(1.0, 0.0, 0.0, 0.0),
- position=(random.random() * 2.0, 2.0, 0.2),
-)
-server.add_frame(
- "/tree/branch",
- wxyz=(1.0, 0.0, 0.0, 0.0),
- position=(random.random() * 2.0, 2.0, 0.2),
-)
-
-client_handle = list(server.get_clients().values())[0]
-
-p,q = client_handle.camera.position, client_handle.camera.wxyz
-
-client_handle.camera.position = p
-client_handle.camera.wxyz = q
-
-img = client_handle.camera.get_render(100,100)
-
-
-
-server = viser.ViserServer()
-
-import os
-import trimesh
-i = 9
-model_dir = os.path.join(b.utils.get_assets_dir(), "ycb_video_models/models")
-mesh_path = os.path.join(model_dir, b.utils.ycb_loader.MODEL_NAMES[i],"textured.obj")
-mesh = trimesh.load(mesh_path)
-
-server.add_mesh_trimesh(
- name="/trimesh",
- mesh=mesh,
-)
-
-server.reset_scene()
-
-
-server.add_mesh(
- name="/trimesh",
- vertices=mesh.vertices,
- faces=mesh.faces,
-)
-
-sphere = trimesh.creation.uv_sphere(0.1, (10,10,))
-server.add_mesh(
- name="/trimesh2",
- vertices=sphere.vertices * np.array([1.0, 2.0, 3.0]),
- faces=sphere.faces,
-)
\ No newline at end of file
diff --git a/demo_c2f.ipynb b/demo_c2f.ipynb
deleted file mode 100644
index 22b06f30..00000000
--- a/demo_c2f.ipynb
+++ /dev/null
@@ -1,373 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": 1,
- "id": "5300d4b8-7b89-492c-950f-3e56fa9d46f2",
- "metadata": {},
- "outputs": [],
- "source": [
- "import numpy as np\n",
- "import jax.numpy as jnp\n",
- "import jax\n",
- "import bayes3d as b\n",
- "import time\n",
- "from PIL import Image\n",
- "from scipy.spatial.transform import Rotation as R\n",
- "import matplotlib.pyplot as plt\n",
- "import cv2\n",
- "import trimesh\n",
- "import os\n",
- "import glob\n",
- "import bayes3d.neural\n",
- "import pickle\n",
- "# Can be helpful for debugging:\n",
- "# jax.config.update('jax_enable_checks', True) \n",
- "# from bayes3d.neural.segmentation import carvekit_get_foreground_mask\n",
- "import genjax\n",
- "import bayes3d.genjax"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "id": "2448882a",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "
╭─────────────── viser ───────────────╮\n",
- "│ ╷ │\n",
- "│ HTTP │ http://0.0.0.0:8081 │\n",
- "│ Websocket │ ws://0.0.0.0:8081 │\n",
- "│ ╵ │\n",
- "╰─────────────────────────────────────╯\n",
- "
\n"
- ],
- "text/plain": [
- "╭─────────────── \u001b[1mviser\u001b[0m ───────────────╮\n",
- "│ ╷ │\n",
- "│ HTTP │ http://0.0.0.0:8081 │\n",
- "│ Websocket │ ws://0.0.0.0:8081 │\n",
- "│ ╵ │\n",
- "╰─────────────────────────────────────╯\n"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "import viser\n",
- "server = viser.ViserServer()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "id": "57e1fa42-9f39-437f-b408-7c9760a86413",
- "metadata": {},
- "outputs": [],
- "source": [
- "importance_jit = jax.jit(b.genjax.model.importance)\n",
- "key = jax.random.PRNGKey(10)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 41,
- "id": "ed42e5c3-be5d-420b-9a21-759247e5d7b7",
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "dict_keys(['rgbPixels', 'depthPixels', 'segmentationMaskBuffer', 'camera_pose', 'camera_matrix'])\n"
- ]
- },
- {
- "data": {
- "image/jpeg": 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em78sjAA5wc9RXp0jkjk1iayQbYAHksOK8tU0qjqdX+p2+3k4xh0Rw+r+Br7U9Osfst1FvRSXExKgAgYAwD71yN14N121LGezITcQHQ+Zn8FyQOOpAr2+ID7Ogx0AqndrkcZNXFJaIXO5PU8Dls/IkaOWeNXUkMpDAg+hyKjaOFo9huwoLZbgkH04/P8AOvY720guEMdxDHIhOSjqGH5GsK68IaNebz9mMDt/FC23H0H3e3pVJlnlU0ex8eYrj+8ucfrX1x8FP+SR6H/28f8Ao+SvALz4dgl2sr84/gSZP5sP8K+ivhPp8ulfDPSLKdkaSPzslCSOZnPf60wTOzooopjCiiigAooooAKKKKACiiigAorJu9fgtJXikt7gSLnbuUAN7g56e9M0/X1vrxbc25jLA4IfPQZ9BWPt6fNy31OT69h+dU+bV6GzRWTN4l0iCeSGS72yRsVYeW5wQcHtTP8AhKtF/wCf3/yE/wDhXT7OfZjeNwqdnUj96NmqE+i6ZcXEty9ha/apRhrjyV8w8YB3YzkDGPpWBeeI5rkn7O3lw54Kn5iPc/4frVCTUp5EKPcSup6hnJFeZWxad4KFzjlntGnJ+zv+RpiZbe4lBTeuwxHaTG2MYyCOVb368muHv9BltbuSS1hV7diWRI2LGME8Kc8kgY9frXVpgaW925JzKIkwehxkk8fSqLXPPFeDHC17cjWm6+YYbiSrgJc8LNS1af8AwClZaRepEks0TRq4yocEZ/MVpRWroOTUaXrxHKNj19D35HepxrD7SssMEgPIzHtx/wB84pSy2rLZ2/r+uh3/AOudOo/3kbempwd74Y1ptSm2QpMzs7x4cDzgMk+WGILkAcgAkcZHNZkBBTn5DXSXHhbTLgNN9u1IXjyBpJZ2WYPnO44wpB7jk+nvWJdeHNRhYmB4plzgANg49Tnj9a6amCqJJJf16H1mD4pyusknXin5px/F6HnqadaJ92Fc+4qwkUaj5VUfQVpRaLcyfe2J/vN/hWjB4di3fvJnbPZBj9ea+t54I+W5ZMwAAOnWhk3jAzmu2tfD1mm0iAOR3ck5/DpWoljHBHtjjRB1wgwP0pOqugKmzgLXSbsLsWCTjkmQYz+daMOg3RCmSSNFPUdSP6frXSyxhW9KjOwd81PtH0D2fczrXw/bscTTSMc/w4HH611un6No0ALrYQsxHPmAyfoxOKxY5NjZAFa9pcgL1GauE2ZVIdjZMsaQLHCgSNRhUVQoA+gqpuwTxioXusjrUH2jmtXK5hyDrhs1i6sxGmXmP+eD/wDoJrSlkByc1kao27TrpRyTEwH5Um9GioRtJM8yE0USsDZwSMTncxcEfkwFavhe6t4dbFxcHyIEjdmMTspGFPQ5zn6HnpWFKcEg8EdQa1/CjoutI8kYkjUEkMuR0rzFufRVpJQdmeu6ZNM2j2QuS/2j7PH5m/727aM5z3zVbUmEhRfempd71BzxTJH3SL3rU8RK7uasKExrj0qO4hLLzxVi0+YAVcmgBjPc470jSMTkp4SG6AioAnPStO8TDEVnuMGmi2hu3jnivXfBXHhGxx/00/8ARjV5DuxXr3gn/kULH/tp/wCjGqyUjfoqre6lZ6cFN3OItwJXIJzggHGPqP8AIrLn8X6TDt2PLPnr5ceMfXdiqUZPZGFXGYei2qk0n2vr925vUVzV340soXK28MlwAOG+4CePXn17dvfNYdz4u1OaYtDIkCdkVA35kg8/l9KpUpPocNfPMHR0UuZ+Wv46L8T0GqNxrGnWufNvIgQ20qp3MD7gZIrzv+175gyyXc8iMpUq8rYORj1qp5lV7GR5VbiV2/dQ+/8A4H+Z3l54us4XVbVDcAjLNkoB7cjmrOleIbbU5hAI2imKlsEgg47A9Scc9PWvOfM96fFNskD+Y6FeVZOoYdO47457UfV5nHT4gxftVKVnHtt+O/4nqs91b223z54ot33fMcLn86xW8W2IluFAJVE3RPziQ46dMrzxXJare3VxcynUY3+0D5I9pCqgDEEYx8wzkZz26ms+SWM7fLR1woDbmDZbuRwMD25+tUsPJnTi8/rc9qKSS7rX/gd/u80dBrOvNqIjQJAEGHBTcWQ45UkgfoMdOabYX8WntHfzSefNt/dxLIQR1X5vlIAx05z04weOe31Zl1C9ubGOGWWR7aAgKD0UnOAT9AcZ7ZxS+p63PIWOqzqutN+9006/8D5+hf8AFiwjV1mt40WO4hWYMufnzn5iCOCf/r9Sawdxqze3s97IHmcscAcknkKFzz3IUZNVa9WjG0EnuTiKkataVRLdk9u7I2QTg9as+dVNTgUb/euSthlUm5WOR3uekWwkk8MI1raWkssihhCozGeR1yeSAOcnqK4e7k23UqbFj2sV2qGAGOP4ufzrb0HxD5Oi3NkRsmghkkgdRnceTjHqCc+mAc4xWBqmpvql811IiIzKoIUccDB+vPrn07VhDCNyaa2PbzKtSrYelKEvesla33/j9+lhvm+9HnfjVZZWQ5RmU4IyDjgjBH5U3fW31JHicrLkt00rBj12hepPQAd/pUfmVX3Um6qWEQNSk7s5uJQKuQkDmqYq1D1ryUfq5t2SmTHFaMlniPdtqnpeCygEV1UtrH9izu3HHShuxSjc4G9XY5qgWJPStnVIcSmsZ1wapMhobuwaswzEDFVSO9AJFWmZuJoG4OOtILg5qlvNKrnNacxm4F7zNwxVa8XNtJ7jFOjbNWRB5yFSMg0+Ynk1OIlsY5Pvop/CpbK2EMx2KAMEcV0VxoygkruA9KqpZiF85JrmZ020LcMhWNR6Cp45CZBk1U3EU+NjvpEpHU6fIOP51pz3C+V93PvXO2UuMc1dluCUI7Ui0ULyQM5xWW7cmrlzIM9qoOcmqRLELV7D4H/5E+w/7af+jGrxyvY/A/8AyJ1h/wBtP/RjVYjO8eHH9n/9tP8A2WuN312fj2J2ispQvyJv3MTgZO3A9z149iexriXKbvkJIwOWGOcc9/X/ACK9jCUlKkn/AFufDZzSbxs5en5Iduo30wSlQwGMMMHIB7549OnahQ7BiqsQgyxA6DIGT+JA/Guv6ueb7AlTMkioNoLHA3EAfiTwKbuqLdSuyl2MYKpk7QxyQPc8Z/Kq+rj9hoP3UbjUW6jd701QH7Et3V213MZWjhj9EijCKBnpgfzPNRI4V1YqHAOSrZwfY45qHdSbqaw6SsW6bb5nuS7qlYYtY32jBdhuw2TgLx6d+3PPPaqu6jdVewGqJaiELqwklaNyQFOzK9eSxByMewNXbbRbm60ufUI3j8iEHf8AeLZHUYA9MHPTB68HGSZSYwnGASegzzjv17f5zTjN+6EaFwpwXBbIZhnBx9Djv39cVMsPL7LNIUoJ+8r6fiLuo3UzBMZfK4BAPzDPOe3Xt/nNN3VoqKIVAsee/keTuzHu3gEdDjHHp7+uB6Co91R7qTdVKiivZX3Jd1G6mBk8sght+Rg54A5zx+Xf1/Bu73p+yH7Ak3Ubqj3Um6n7JD9iYoOTxViLiqqtUyHNfGH6Ib+nyBCOea6EXW6DaTXIWr4I61swOzLiixaK9+AzEk1jSrzXQT2+9c1j3MW04oQmZ7U049aewx3qMtjiqRFhRxSg1HuxRu5qkyWi1Eeeta1qyjGTisSNuavwS5GKdwSNWcxGPA61jzqoY1aMwxjNUp35NZlldlz0pEYKaYz80zdk0WEacNxt6GpHuyR1rKEhFBlNKwFqSXdUROag3+9AaqET4r2LwP8A8ifYf9tP/RjV4yrV7N4G58HWH/bT/wBGNTQmZ3xBuHS0sbYBdkjs5PfKgAf+hGuDzXafEY4/s3/tr/7JXDbq+py2C+rRfr+Z8rmUObEy+X5Il3Um6mKHkYhFZiAWwozwBkn8ACaburu5EcXsiXdRuqLdRmnyD9kS7qTdUWaN1PkH7IncoD8jFhgckY5xz3PfP/1qbuqLdTiyeWAA2/Jyc8EcY4x9e/cenJyD9kO3U5A8sixxqXdiFVVGSSegAqHNTiCeJ1Elq5LxGRVdWGU2n5x0yBgnPTj0oaSKVK4zdRupiFDIokYqmRuKjJA74GRn86UyLHK5iO5PmVS6DJByM45AOPyPQ0coKkPYFQhJX5hkYYHuRz6dO/8AWhcMrkuqkDIBz83IGBj8+fSoN1G6nyj9mS7qTdSQXEltcRzxNtkjYOjYzgg5Bpm6ny6h7NEm6jdUW6nLKVVwAuGGDlQe4PHp06j+tHKNUyRCm472YDB5AzzjjuO+P/r9KbuqPdSbqOUfsz//2Q==",
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JVq0HmZSLSJtwZkr1iptbSGSA2XhnJNvZl0DcrsLX8HyEtWpt5nC5WZqsdcK659/24T/w23givFqx2kp4n3ng4cNHjjL5JzOZ3uHhhOfDe2u10u5ndiTbTqVZwW5Xxu1fqgdO+Rx07VY9OnIs2jxw1aZXdHsrMk7U09PXCOeC0L3t07d1Mvn5ybmg02i0QywpaBOgig7ioq1VG6lsAq0OboxS00QtwoXbxl/pLcy0brn2vAcOtsvh7O+9fUvbKTkOBJ0D1J844N+ypHQ6xWax462uQSWT2DgR+sFnquUmbr3v6Xs+9wmnWvdWr33ya591A3cs2xsl0JUcXDUOjg1UH0w2ALhVChvRsd2zuVzfw586UCk3cxlnfqEB/4eSoOzgD03QSokMKBYdrKSctNt13+cPvegEqB6+k++4P37ehfOzx/5lYm7K9evQBqkhKGetdvU7oMGeGKyzZy9iBMQ20AIdBzLxIrL/a2YJEsloYraczCbXblx36In66pGgODkTdoanp6eHxoZBIK4EDO2p5ECQ6vSOrson+5iTPb3Y8PxGpZVN9USt2sGF5Nx0ue61U6msWy/31oFtslgs3b29uaU386r6wWwlsWqvt2fcbzmdhdljh6Y6688ZrztePp+/9OqXFYvFTCJZKRIIVEIzfr5cSQ70LDSaeayYkZustRozRxPIKJ120k8iHoc45kIEkWSylnvPH33oQz/5Qx7G9nptX6rnwIRzbKryiguz1jpnh6pWLyV95OdWInDyhdRjT+5at2n90/VqIy9FHPkgwojaCqFmSYKBjI8z7SWGr7nUvebS7zf+SUrjBb1xnVt0+rPOYNVxaqIgzvbnD+x4/FFQip+yjVrQqKG21Jq1DaNDYbMsfT8kQgQ/BQZZJ+037/n7Pzrvsitq1f5DO+93OzWPAIVmKpnIE1IBoqN2Gdy7GvGWTB0dVByvXJ6pVSqYhP1miwJrnRaRZ5JH8IcGLhYfLml4KhWVgygfJHGoJjVAyCmMmPuLr70W8j/Y1/cjifSHjxyZcRuoNshZPG+Fjn/N2XS2rH/VEfir6DXYlaEOP+P+y79qwS+qsCARRJ16JUx6vWn3GxNzm9aNz0IH0uGqbZvdyLvphhsP7j2E5bC/MDdfdkvl0kRnpl4lYKY9WOhvRA08Ea4TNNxWoVAIG/WFNu5LJNbE5KrvaYwU5h7/3cjNjy4805fNrs26f/TFR+6bQeBI/txPv+ezt9+2esvWxKGnSwvT6WT26KHDmzav2fNc+cCR442gJzvQ60SJEMjizCc2qOi1AxkwsBAmk0kaNrZp3SVXXv/6t77j0YMHMlGqz/NX9ecPFJ1m0SlPzToOkQ4StmGLCPTNaqmVaGeaKgDtIeGGm8bHnt51zOtLYlFNoI1jVsA2kkxmosqdn/lytlJrY5nEo1hdwCEKPpOeW56bx/SayCQarTqAxEoCz0Zkd9G1ctlSiHUlqKOHYFF0Eh3FJYXSIiTruB0/arU7++YX6gvHHr/rSDJFJAVPExDl1xrVZNoPGx6BjxzIGBzUTgYkmuPH67VWiKWy3XFRwaA0aQyM2VSik3ADSSh+0pW3FNtq5CFYeS6vAu0BgzLWVDwayd+85+F8OudlUpdt3vCGkeH1F68iUDIVJYNcDv/Gi5ojZzN9h0agbawMP+V+5Vuqv/0bm1044VDGyQXMAPsspj8K89/4YHjHKzqBy/TBAR4SsZfEEOUMXnzfyipk1SLgkTlE+N7xqBcdPqzX0ol6lMxUKvVM1j9yfKJ3ZGhydiaZTGP8G84M1If9jatGpuZEQ3qSqb179k1EM7c+uOf669bUE36tWZhPb3v443/3Pe/+WdTivV7rNzObCZja+fdf27J1Q1/OG8v2zM0e8GrlfbueHMynx2icW99y3vmt2sLQyOCqyeyWIBrKtfZOTfZty5eeLm8YzEMO9h2ZIIQQgzvefWwZnbB5ZHb+K1+4Lbtxw/ia1e78oVYYbRvpP3xoX29PAdrgzxWT/fma4x9xnEvXr8oP5x795mPAuVEjxBnPoJcL6+OF/ne8WlaJD//eX/7kz/1Yx23ffts/vuzl1yQGclEzfOqTH/OhAMQkpLI4/LLj44l2NWzWMqkU8gVt8aKg1ahefPmmj+/w+sfGh4cH1w+NNK9/J2HXhHDc+7FbJ55/rDW5308EDbRF30v1Dq4lBjyqOzhEkFZ4KamgWZedAx9xQPRTu4wq08ZeGLWSXvr44eMzC1hN6bGcPoggLqGbonj0QKzfDWWiwPNRjxp+i6itMGxjH0E3IsDKhWLgxcSV2ayUolr1jodmkLl+9sYr7/r7T+b68j1EeKZ55Ozx0h0BSxr+PHrd6ahD7WfGYSAEu+AwdGFf+ALEjTBBu04Ltogn20wXjNLmCL90dRQsEYvFv/CUaHLnNWImjjO67X6bk98gaFTrWcz87UrYGtp87oFj24Ogz6u5nUyiGFU6QaYetnE8UEVYreYLfjnqh2cePnacOlvV2qFysZBJ1Jphtdneu+fA6nPPueeeXQPPzH3P9739wPMPDBGun+0d6x86uOuB//i2a/EEBm4fnLE8vXu2PPfmV1467FeC5hRCcXFi/1B+eFWqfN7V6x03ufPg4XQy/NtPfOl7L7uB7hEc0Vtr17NJ7B0EIcA/o/LC09/8xvrX31yfmb7s9a8/fOuHt1x25Vwn+bWv343l7da/XvjZ15/zio2ZqZrzwSOzV6RWze/MEsGxdmzk4Mz0dSOZn33dJe953cvNKGjsfuJ9/0lBTY5/85t/AM8ELPgLexeuuXR8z4Pf+Fjn6ldv3bw+j1jX+fP//mu/8t/e7brF819+edKZ+dTffT6dGL3k8nN/7Jffj73ChaTme6usZqjMYEF02rWs22506lG5ji9h9ch4ae5YOu+1ce7IIkiMFQhX0EGrKT9nGx2iQSs6mAEa9baPc7HcJqQCwwyGA2QgBTsiHyg6FZGj47fwCeFlbcgkgqEB5yvCBf5lJ5GiDtQYV+SnhSmSwMywhu+mFc4cPzY77A0kW/lWqVaqLsTz4OzJv7sRqL93tW2zpQVddMHQCO7Jza0VAMw1FxEUCULnDiJDh7nH9DHkAKJg/kXiP11H8IlbP5tbN3bLLW9rJfxrrrlm58cfGB/MHtg9M7K1p5Dt3f70PqTW8tQ01m4/mTiwv5IKpmDcySBBWG9fb+bS87aNDuZeu+nKQ4eO3P/U8U3nrP+hmy/s1Er1Jz6/OhWs25ZuR1MEGp27ZSCVrx4/enTvkVKlnqzgqvMTdzz0XCYT4NZHMW67yXpzT29vwSUqql1rR5lmIvkbv/n+uYzT7zjZVri1kDiOCq2YJaCFBA3s5tpzh6++6Q2PP/FoudU++PgjmYuuOL7n4OBYf3N6X6HR/wXn+s0X9uce+txTmVYmhf2DiAtvUzJ41xvWmEBGQ1C7xuKehx/c3eg7cuTQB955Q6s8he0DpwZ+0+mwnSMYWzGIRIW3c73+/fd+8xN/86nKvDsx9/Cz0QiLpg7teCibyqbGR+Yff6hTK4cBLNtrsP6puNBXyBcr1XQ2E7aLtaZMJdUW0QesUCGgpL+NY8RtcUlURf/asRSLItzo6GHshsfQ2rA2oF/4gSK+OIixUGxChLnBbyNCiSKgOUhGYEiyrGbxetFvIL5EdjZaRD40CNtCrcKZAeUgxmL2gadSflBZmGcYMWF09f7s6UtuBGAPVnBY2TJLF6zIAFFYog7IC4I7bAz3u9MkJF4SBHMEhULUgZikJbqwssx01Q1/7ZxwocEtygym5mf7N6/ff/zYqnVrMp4zNYMRoXTuiHPxKDHN/qNPPfneN58bBEnXwyBPrZ2vfvnLN7721cmAUJr1pWLFTzZz+eyRqeLRqWKmxymXy7c9d8ypNXmEtmHZY3mC6yaazFC/2OlkQyftZgjpbzTrDTefb2cyBEdJZo6iVD5PjLa4H8q5E4TN5v5jC6neNPM3rIRbx8a/sf9YuVpDfkK/+OP/+b7anrv+9BsTI48/dPiRh4uYBI5NBO7OsaHh3qjBxI+S6btvu+MOJGwvzHXcRE8PBKWKAc9L/MVnn/nVRJg/7+3d3gUMwZhOv/KZf+oEhd9MZdZuWDWQxhHYmti5vTU88Lcf+xLOUje76r/+/qchZQxFIVVodJqN+YNf/PAfE69A3EHv5vNqzz3brhUjgrr9RDablHQDT084OBYr8wdyueCZIzga8p1GVQOT2LLe7ctE+9uNJlLGXLE+9excwncbFcIoJPxH7aRw73SGc4Uy7hRCLpAeFdlNBBURCsgdSBM4K7Fu8PqJixSdYCSZGEyRJDJDO8CMiw0Iy0m9Xc/5ieJcsYmTtiMiy7qrlfPjbMpLZwRORxfQI7yk7OyI4aILBMKZQ5QCARPqgEMeHyKJSArkbMN5PWt3gEDAKGx++0tsDFIDIkOyjrwuE5cIDQoFq/k2D/XnCcA1K/Hq+f6hsdVbV4+mK3vrQbRmfPT+7Ydr1YyXSrFIp9lyjjbWTj8ylUpmm0xOVHYfM+QcGAudvjDtrXV9JrafH2JJBcyOZT6YweFY9CJsy58euoqZCuosCE6nYZVRRIwEyydoCnJ8pVTN9vYSCyBS4fnlanOgLzd9cGqgGWImRExGgUokydm+8PxNx6a+PnLuRdVKc/Dy65/Z8dzIpjU9A2vOf/v7gh53xy/9RLHubMsU756I0k7TzeQgon0EHRFPEfj9Q/3PeOdd5uzznf7I6aPxT+7c+cz+Q/fe/5VUVQFLO7/+7JXv/rlVqVUTjjtWnXj0858cGh3pROmZyfmgUw1a9XqpvO1l6x84crDtpzEWpHLR6KZtC1MH/ZRPADhjGbV9SCkNBvP4RfoHcpmMs2nTmqnqZCHTavQU3vPTv1wPp7ff9/D8wUQL7cEPPvvJX8/29IXORs+pT+362uj4ZasvuJrXBGV1akUcKBpFXhoLQnlXGFOzyUwuy5oJop2gM/Jlul6jiZTjsjaDuG/sIxAOhWvgoI1YA+IPpgvT1QodhC5AXySGnD1ewiNwOqkh8ydHm/9lnREHThAFpwn+mQWiFFa5kMhAiiEci3QBOzyrHw1LRAbmRGEu2MSNSSJR0XxgikEdEAKCsLf/7nsfGdxWbz+6Ez1h7fnn3/XY/SNHD7dbyUYmW65nMD6mBzJhp8VCA9T+DoskerI19FsvoFgmJVY3yotSWTz6aNoXbbv8iaeezA6Py2wGYVCork+4A3qzTGZeMmK5ZrWYHtmg+QyZgwfDHZF5cKll01RhTW1M71I1XJVKV6L6AzOlvqFVmf56c3YOGx2EZHLXNwY2bLnowh/86G/9zq23vv+Lf/YHTx9xBvYfuemXkM6d7PBoM71xTeoRr1Kv+m4Pyz8jv95OfvRXflhSuLhre/f9n4na81teeYvnpC45f/SSbfPf/4afbTkzbO/gRixb3jU/u/URdICJ6VqjXq8WEXQq8wushiRICtPLPQ89F9aamUKuODNTXigG1TIrKSHUAFWSgkQ8d/VIhkHOJv10Ko95MFfIh/Ujs6W6k2042eoPXndDec+uJ47i82wSyXjg8Yn7n79r6HB56KHtrFz982MVsMvLw+iZDtuZZLaRDXizHJI4MCNAPD1MD6iNTAGIaatJtCPBmPzlLTWhHy08qRIdILqSI+sYakqtBWwdUGrFeFmT5ksYG/+XNw3ScMoRaLxvLemaYYa92zxWrfDQ0Em06QqJdWWoA1y4JDg39kgmlbUySF4wD3OSrLvBzrlWGd83+ghrfjrBZVdf+8TtfzOxMMn0QkK9+NrrJyvNAhpw+Xi6Z6uPnA2YfGRW5paPL0P8Hz+6T0CuuD1WM2KRQL4CBb1gohFm0guT01Oj+DbyeWwgkAasFUxSzWbF5TmVyel2yyMAEylYMb2IDBgYmL4YScLW8aOH1w0PBW57tlxZ6E0Qgjg1TwBU+9jcQiJIQTgwv6MufOarjw2svyHzxsRNP/7DD9zx9JHU+CpnvrN29UQxOjQxce47/tMDhVXRyJW15v2Hdz2VcPqGIEnU7RQDJ22HcvM1b9MoiFIU27VDCzPlnr5jpaOHJ48eODx9uFJuHQt33PHQ7mY71SAUfHaqhxWio6PFBdZz19ywzZYSuZ6BauSlkNYrJZYtgU10Eq0osy+DoAPUsICYAxcLAuGMG7dc7N/77C/+z1/8w9/6szdf9+rAycxO4wd1EdwybWf6f/311rCc6Hj9g4Oe1/vAYw+iVTFCBEw0CG/uNLwy8oiLnIY6QMsJvfbzGZkZoHPEebTbC/NVVlhqlTzeEJaMIkhirSS2TP6MZgJ9oxPVFQyJH9TLKC7cjsTZ35fiCPxN59VSE091oDEqmTBEw4IgB0ZegFJ4TkZvXXf5BbbmXEShi4joLpTFEAhoBHQBQTS9EIVT1XBBwfNGanCCkb4c4fejSW/QSe6tlLZv395gxS5qdNgmfibIBBNTE0OZUYEcRzn+MqxrDvCiQEmrIBVhNfACRFiwXse41UjkVq2qzcyw6ZAbSWXAegecCeuCu0Jo2AZidHT96PpNw309+XRykFjp8lyiulCtV/ZPzs8Pp6YbC30oI0RLdvIJPygXp3PZbFiccXJ5EAB5QfjIjJ3nDI7c9ht/HIyuH1qT/sn3/PRdH/q1qFgkOiOzYbheZ2EiVXde9aYrwzdfjTmvXfXKjfatd+9Ymzq2ZfPg+NAQgYL1+sJTd/8tVIAMiBLI47WFcL4S7j86szBTL+eDZqo3WsAFQDhSa35+Pt/TN3be+ameAchcnZWju3a1ihMQPoQUxDjo5cL8FJJ7KtPTqFWK+GAO19esHjv//C2XXX7F5Ze9vHcg94ZrX9esV//q93/74M7nICWdeUlIkLtks7lwbCoZNWl1bf44KyUPMcysrmY9pkOIqYQ+aDf/WKuFh4ohdYiArrNgBTXCw2BZqi3QAVlttIhNciLL31k/arwbPovKxiFtCt9IQqsbXruC2NDQPDh7vDRH4Ie9r/9ldOMp2wZLV6SNkRoUwgBpyCeIVpbDElpgrY88aX2WsAJwytJ+kQMmlD1BYRBXtP/EopttimWbobjGoJHwx7dckCxOt9PZnlSe0PtaJtq4btX+fa3Duw8NbB4rsL1bx0OnhRbh1cv29iBQI5NiEFPsv9FXASvtzEZNl4i9lHtOT3bn4YNezi/U6/sm5r57pG+wL/05ZyQkMrdTcxqV3nPXPPf1L+1BN5DMrDhfrACFXAqDRlY2yJTXM5BPRfPVUqPZ++ZbXvfF+54Y6M85QWKaTqinzv0PPV+Sq6KSaOzd20xuuHxsPkxfec65Tbdd6PXXpP0ZQiDxpHh+AxqXTiT7vVqt9Wz5fG/v/qnJvY77DO6KntSx+sR0q4nfEOQF1Vp569Xf/9s//8H5BN6D9PDq5NE5NHwFHiI0QQKgDuUnH0sGimdiBTcgxwfAKjS3nVt1yRX1Wqk0cQgqWFqYywyObRoa+Z7cjBMFzdLx1VN7BmpjiWov+6+hVyHP1Qli6DhVpwH2aWHZcVb/xvtAPuactJ/IBUHxP72HakUMoEyJFEQCA6p0AzQ7P8okskh+bSyymCIZfM/pyRRq9JBlFJDiUNZcTBLaPUqhLvKQdtL5qU6N0lg9gU0TExeBL/E8OHvyUhsBQiGlCZzhEGmwBEJeSaNEsLUIDIF1CBgdSFkhFmLuI9ANPULGPWIVFRMIk4eTBLc80PjqWuIjrMgA3SF20Vt/+eUPfuEf1mdzlVqxL9f7hte9fvbArmrTKZdm+qK17AtQKZWCLDaCqFSeqy9UggiGVyNSJ0HoPwuriUQcyeFVrDJvO53h8zflC7296UR1mvh/LW1INmqZYmOiMfT5p+/5sStfP7j2nMLaLd7BZ9g9Ca6WYGMTs28CZG/PgWNbt25dW35+vkGAsVur43+LZkIAFODz9NOIHNSAKB3t27dv6w2XvupVb/zzj370yKHer+y57dwtl12ydSzz9X8haDg9uvGbn/vC1e9/zzwRgQg7nU692QDkjYy7PXPxxokH0gQSuM1cXy5s1WDerRBKh6gevvvnfmsO+0uTKA33oo3n7Dh4TPqUcc3oHUkxYkGlMeBhdoEXMwKOU5qe9Lc/hD+CB5WNUa/M7yjOTWYIN5rbtGokfeDAwJ13b+jz+9D/650UHlsUCSfRHFgn83G73d9fSAa1XH5woVZkd6YKFhzJMRLLevIZIkxRGVwMsFAB6DEea4lObL9Qwe4InZJWAali6ycoBSqIz/vWfi4IirgytGMM1pmpAw2fsHi0QyJYkfACLRc5e7xURwB/NU1DSNaJuOGJA95urQzSLNiPo4ZST4wT51j1uXUSRcAojbkBx4S4NzKFTGHASHkIixRdaDqpuXbng1tVGrdEcVRfQKxkmMyyhpiAGFCKAF9oRfc+uttPtYfXnAtHHXSdnQeeYQ8Sp46k2sog9UZpIqVhORJ0I1z4fmUe0yDYclnAnetZnejU2SUlsTDZ6Blre+2nKpXNXs/WC8/7/F/+c6u5MFd1n/r4H6IwsMMUYRepNPtIdfBHguBGsxOmsplK/VizkA/CfCI5X2/vr6fbqy715p+o95/fmZhjZoOEdq08ffCZL9823d7/XL6AZzX6iZ/9o+qz93rt0q0f+XDR77ti67r9v/UBih187y/Pd9rpZAr94smdxeP3PvH1if2F6sTbbtjcmQvXFmDD+E4Y7SiV87/nnW/98499EbnMa7Xv+ebjBAeYiFLRAgCM6RYxiQteFfSCRAgrQ8ZGTAtTRy+95hX33XlQVLiFYiDYzbLfYztVy/YcPzL3xHzrjr/5b2977a/WGmGQcNcMD95575/853f/EcI/ZsjBZP32v/1gVGIDK1wq7l07j7ClgqQnDJJVRR/QZbdagecTxMAvFl8CE1B0tNhSvkrcmNp5j7ZxAeZZWYWMyFosBD1oh0rosDSd1uNQRVRjZiDviHecPV6aIyBZT7tzGcNBVxNLPzIMb8d5aTBs/JToAuyMbPBsjQ5d2XnP7EnKbMQRv1iUTJJGrUCC4EgtdLxd8+FUDXnBigz2caZLxBaFzdCfa1QzPX3pZGJ+4XjVraVa/qqch7E7mfdeuaXz6JOVmQ4hD72e3/Yr1SbhlhCKIClrvdMpZAopL0onCV5IZBP+7HQFQ8Pxw5Wqu5AfHN1dquxfaEzde9fOh76WTdamj87hUWd2tpoVmKcfavEARgQaxKTdu+fwxhFnspk+7uQ8t76rOuav3VbZe/yWl7W+umfhdVdee27vAlo9OyK47p6oeWDbupog6vpf+fuPbnr9zU985Hev3XrhjTdcc+0tNyWD9m/+0v8876u3r73k0va28a9VG+ednx4ZvGXXZ6OJJw98+DMPobz0hPOXrXWvffnamakj4+u33X3nLrDd18cuEyjjIbtdE1zY2z/spLSZLGibnzwWluZazSoEIJNK4GqdL5YT6Z6hTSM7HnyaIHMIhiz/eC+1NWbbS2T6s6mJKFGvN37nA/97qlHfes6Wje7Bu/aXPvm/f71eJRA1gfUgUaiy5r0d5XDxVn1n1zPT8iyIZwRlpAi9U8QTVAf0L+gT5SeIkmxGLA1JIQLwMlSn6AYmITaFkaCDOsXSTBQYrJAaYY0uN7BGEjeFvylZWz7r7JQ4+/uSGAEjLIg6pCNJpvGRHEjjnlRcA7RAtkYjUcDwrRJh85Fo0+0J1KGqFT3oHXgxER9kaDBMT3Thydn6Pizxhk6AQTIbwSFoVxt44G5425uLTz4+vnnT1NF97WbNpWa5ImuJJAJ3djTyX3NBZqHSPrRQna9Uyh32aHHHNqx2XZbohJP7DySl2+IfxGje2ff0g4WB0X4/evf7fvTX/uBjPT29x1phzvd+5Ef+n9v+8dZqiD7MZsvVXCFZZTkDi4nZFpk1SJ7bmy9UnE61NFcdW/WuH//p+3YcffCBO97w8m3JQu/NhcOJTvrHB4IIW4aXrdXArQe3RmgRSpOp/sGBytz+vbd98rbbbzWDI0LDdk6DG9a9/ntej0wGU70gG3wt8L6erI+9++2TM2+cfmr/vbd+ZDhKLhxz77mtmm+EP7R2wxtvGnjTa6PZqXByOvEXj/WMXfTygeFV5VqV9SNGcm/2bdiEP6DB5s7HJiZ3b6+UaylWqOVSWort1LGbCIMCMcoAUSTtTDpLzFVN2y2xO/xlgXvw8LGSO9zbbpcgPkglmZQ2p6w2OiXiuiQ1uTuempxtIePA6DHysLolw7YXDptcIKXJdJCMMoPJ/Co5harz7VbRaZecTiqKqB3HkcQDVoBLcJAyIXVDQ4EO4afZdo8zHBMtgq21deVZ2mAmy0v4Bwr/ff59cQOt23LxUlPEQYPQJZTCQFrnpBPLADz4NeRAiYYodNKs+/GgC+2UTFIc/vPF5vFqq3gKg3TQwOXGpmzp9H17n0kxs/APhu1b3vrdX//8bcjPB48c37D1vGZ2hF3gewru2nGYVf/Xd8weKLnTU7PpdF1xCqzDaIdZdHptiSR/ROCE063o+PG9UTa3MDdPMN/LMonmN+8eaJdLuUsufMe77vv9X8177ApTJ2avJ5UhQPvhe+9+1ys3/P4Xn5ShtJF5/it/Wqh5bx3p9M9+M1GC+QE5mRnmi0Uk5ipaPSuJ6HiUaHrZhWL7cGnGSaT/7IO/re52HT/6kz9qqKV0gCcj1mY760cSbNiyanXSuXjb9T/4O7Uy5gKvWgnr051H8KGGbrVRn800o5FoevtH5h59mPVYABS6jcmOPeORuQA/iz4Kq9eHiVzGZ2fqjnv8WNqf1fZXCPsI9ybyABYNbd920XnNuf1NXtHWm+5IX/G61zWuOL+wcX3foX072u00m11k1S/nc/c5pezlG694Ze78S7e8ZfSBn7nB8+YwCyT61uGo8aMKQQpIIy42Xuhv79p2rZRgQUlhsNHKO2wmj2TRKkbtGhs/UC+EWk1GVVE8HQoHrUZpwwBlKCacCAMKROZkDbZr2M6evlRGQOJf12HNAVB4G4/AdEQTxrMgFSODiqF4Jy9vwoSsvADt4MRICtIjDF0gxaoS6VfdV/v4eFjGcikqAxviV/Fx4myYIWuVGp4xVPEwmo0a7ZnyxIFS/ckn8f8dOX5IlviwOYfc3JnHDHHn9mn2GWHPaL944JbrvivlNnsLuai1hvjGPdPFkWSCfeBmo5GpZN/o1g1hKnnRj/5422/u/fQfzn//f9tXD/ce/J0+Zzo/Mv7GX/zvd//pL6rNnc7PvefH9z6/+9WXnnv0wIEfvuYczPV78K+yqWKzhngxefz46PAAS5SPHJ3WjsmShyVXY29bKNZoCFo4WyIqJMNtD470PPjgU489cv+ju4vjowN9rSLyRbHtLaSHg/Wbtrz5+hC1IAhSfF7DYSV6rdkK0JgwUsr6PyxVnODFVcnkJq1MiTZf8vPl+Xam4V9eqF98QeHv/vmJT/3VR4MahggWsbfC45P946uvvuUtT29/em7v0zN7drSqJdpBA9lTtw7dk0wP8eqU6v6F7/5QJV3APjpbuP7ryfQzhXwuMbV24dlO5w+IYHZymQt+/R8gPPdv33f+uZv/+Ofe3cM+e0R84JVsVInjSAR8DIQN6iWaeMmsIksZu9p8kC5AjYi4bmrPa/l5MEM5Xo4tu5FbCGhgfSo+TsWmiKJp3JgpogvcRNs8KzR0oe6ldmpCIZf7KNJ/eIQoaaRSBTVI+O8AbEgD2Mb7CJ79fEKkwYoMtkvMiyzfOFkUE6wxEicF3y+J/vxCniXXop2CSWVIg9YANzvum3/gh9lk6dGHH2qV60iZAI/9QghroCQYjZdInnPepX46OfnEA8zzRnrgTa+5dE00j6LTwATG7gSYw7EwpNCMsNg76XS2VAsfG35935Gd55y7/qHUeWD86F//0jWvvmH33v1bN6/r9asZopta6Oos4JYlb/fuvRs2rGPz6jQ7qnitTM/QXdsPbRxdNXjOtpkDO6zRscqaAS10UtOpFHxwTkgycj4n7M4EpPF85vt7e9nNwXW/cqhx3urVo948g8jq0Qm3r+fCa87/0Ztx/3FIW3ccIqxZ68R6NMVvESqSN5oAQyMUyauBKLH9vmf70rlsMjuybvTY4emBvn4Avuubz/7TX/xVobovl8Le4p//iqufuvdBvzjB7tjJsc35tRs3n3fBBaOF3iAabMxVHvrrxsK+Sy5/1eZNq+/68p3jg0P5Xufxhx4u1RqlxNihUibfly0uhAudsS033PzVT3w0Ks7Wq8fqzRovgkbiM8ZejJDCppUEkqRyA46fZcMYL0hqwCFq+HhwsUQhRJZt+COHDfKxNyAUsOkVn7WRDkJO/JnIM+oaRVqrAyXzmFE3NChnj5fSCHyyfS3NQeZDWn6X943upsU6BXQBimDoAoAQESHYIRhI+8MZpwfqYEQA5AXE+ZyPZUHgRukw8ga/wWS9/dx87WAJDOO6N4ES2hGAxTZWiHBveOs7po7s3rPvCDyO3QuX5o1MX0Q44blcu2r1wOrB1Fzl3K39crq5EYbGZOCJtKCtCmaav0y8gdH1bEG4cPzwk8krosNPYpmcO7DjuqsumamV55rB/kOTrMk+d002CCuEBGSzg5VOuVYsP/HcwXXDg6OjBUgSu05iidi+b/qqV1w/suWip+75Kh4H5vxEhdgEapahXr4XggF8F6dnkg9YeO7kTC1gG3acqIlEViTNa6Bt8+GXROLgoZnR9Wuno2Rh66var/3uVSMMoBwciNT4BoENAUNcKk7SfBovlweE7PmKX9JstkSFbL9qDrkbDckAX8hbj//O7236D+9NsoyRHZ/YBiJq13EXQscltUfv+MIPp4LZczaMP7v72Z6gM7dQnC6Jrj29f2Hd2t4dz5YOzyxsfBnfpPKTeHnr4bbcZDoqo5GVm9FnHp5nOzh6TUnsool3mjqabIGpLWhZap0zgyCc4y5lUELmB4YGxIYWwWhySWhTX+KaFBdJW7FBGOujeA2UBDuyGslA8oopoXvanT1/KYzAbc2rWp6HfxrSgOwQ2xoevzix+eV9iV62JTSwX/Q1KrQBMINqwiIlNQyknVxChgZrdExg8RJp8JgMhi5o6kMadvKlyWkMXHQZVcKSBqknCMzGbEH0TrNdIx1VFJs/xrOAPxLT2yI0WSd645Xj6CbumjwTy3HMcgkXxaPd29PLWmPTeKnfw8OrACUeNcIOjj56T+9Y78zuh99x/WV/fftDLAQaGxsDxGxxTK9mp8tOWDt0rDQ20pOAj7vhZVdcvmvHdmrfPJI5XKy88prXXvq6m//0d35/88bhpAIHOmxDy1JOtIC0rHti6Szfops8wmWKDWs9vp0J1EMkoIVitVKHf6ZGxwZGxwue0zh8vFTyj19wQfl4yHZVyDgET4ERLe7QuBipDbM9FGBuhqADXAaMEO5LhklSOCSGD15yV8QVeyarqEN/x9PPbk36RWKM9MnMqA5hQoNDAUN6l5dzphkuPPdcESGk1mZT7v7XXHXx+371r45UC3c+OnH5RUO//JOve3xfZtdElWUOYPRd/+Gd//h3tz+3d2cNGsPCebAsK2SCJuCSxlPBpaSCGhv4IqSxJkUL7lloJhpG01m2Bg+RRaWO9UmaIhajFu4SpDlIrmzSFMt4QdcUH6lXqTLPHi/NEYB20zBjZ1/U+v55tXfFJTkmBxqEbln/5WJMpCjFicMYDmSM5JClWfICQj5TWQvvEPDRemvt6s7Zxrw2RyUX6Wz/YUmMJorRLDCvszA6w5cn614tm+zp60s3o9rsRI0tBNEv0BpYzAOrgkXJR8bc4hxVnO1GvDqhVcxA1Hw6slCc6RkmgJtVjtmRsRTfhhpas7Uvx0LoecScl2257P4nn4cNttgzrtXJ57Iz01NRlJudncdget/Dj73i5dc89dSD01PFobXnTh3Y9cV/ZKFWbW5uYYT9Id0oz84omNOwJ2hJB7ISLYJIwASRIVB8+F+/jWaL3V6Gewv758NWorCOrdugeJ3U+M/8gcOe0ClWNTjFhuPVO0RUsMURVhvti5SUXEAkkj7Kx8IDfUSGtwIR4G7IB+QIdUJXwknLI9SuL1+KAvp82K/IJlD0ikFpYAAgLBLkNSCybKpHOBTEmcANRBwa+M0nnr/pu99Yjgrs28LnJr96BMGNIFOtl+PNffD3/o6PUw4Pph/eNd3W7nU6iG6CGmqGRGzByxrqSJIN27xAoZB1EChkTdDaW6lAZOdjQBFBTSISzSbqoTw4eL5kGqUUxUMowMrSCoZLTtCzx0tvBN6cfJBGoVPw9nj3n2tdPTfy0GXrMZLhMVdcKxiWxZHf2EhpwHyiKwCeFBsTjbCAHR8UmYhJCAQxTtFj01ZAAJBopYidPosdCDOCTGiJM9PYDfY8t7+6UEJ4SXq5Yr0aTrFSwTt/w0C+MLL1wsu2P/w1Yh7gU2YLMmaX1zDaKT7/ybm5wRG+yMzEZPoGbAQllYU9Xjq5N11ZSPWO3ntvuRB4v/kr72JX2NDLnHvOGz7zuX+pNzplJnfbLRJWXO8Jsj5aNMuRnt314EWXvxLX6dzM1MBQZqF46MjBQ06z1pMaQGkAtEgN9E4SMXQIJIgBQv4gi7JxiKVr+bJBaeRA7PjgRQ0bXOg+lRg5p+2wRbs+3UL0pvlKH5/YmxfAtGJRAhL7vGHwB2yEcNURCyQyaGTNzpDyhoB5110A79hvYOQ4USqza5rlOQymkGQ+eIs8AW0gHrFdx9koYiHF3vv8rnTv5osKPaxcwJGAU9mfOnjs2OFDCwsLL3vZy/meH+s58Vj299UznQYLOufbi3SB6hQiQTCYm+S7WuL5yAj6OCcvjqUUCAspdqJkspAzYCkGzXISrK+AZITtKgsykTJ4M9zFBQINhb4YTUi9om3SVk5MpbNn37ER+E12+3SdX6wZH6RpBQoFG6wLpmIP0VsTD+zYlOwbkJ2MGaZE5mCTrycp3kkkwMYvGmJhL/UkB68ddPLCAYkxQ0pQbrS9/eWFXXOVGTZ2lT+C2cGJdqcN+SAzMrQRHzDNJ+fKSA541Ic3DKTapWw2f/Dw4XXjVx8+fPjJB+7pzSSq7EkAGtuwVsLv0FPVZnhrrbawf89CT19vKsnOs3wZyR9mqzG3c911N/aPrJrc88iX2TBudMPufQdZTHnR5Tftmz5SLE2v2Xj+fAcGKAmX/R9KlXZfpnDOqqGZ2WL5+L7rbn4LrDDf0wNWv/s/pv7wf/yOov3xxfIpXDimJrcRhCU6C62a3DjrMd0DELalb2ZSG65rpwupC1IXDo/MNppBvm8j6zUXjiYTacdPOsmg6aaRG7QTvkz1iE50SeoJW2cjy5vwQdEYBp1d2TS85FT3xYrZoU2cmMCP0nQzbB48+jyWX4kQCBdi1HwZwsvA0FlYCqkiKDFs7dx3rHmIbTW1+IpcbL2E9RRaI+kuYu8IXMUQJKc403TSyUz/aDV6BjoLmlOs08aIyFNGuWDBFdvfatVKlMBbRWBT2yXWEkmBly+cQylkc+BNSKZryVkJBWHSsAkYc0/eX2kWJCPZ0XEkBnrC02eP79QI/FmPd+05wdsuDtioc/ptvT3b+pK/deCpySuTPYpgszqFbdvgCNF1i5ScL67B2EnHAEnkABMVfrhEHZQuegEHYwKabLYEftEqmRM4wWs7Z0tTDUsU8EvaDHB8OLuZa4tRT8EHfuPnYU9//4l/zCMetLxdx+Ymys7XvvnwhrHVvYlWtRrMTc2tHh+CH0pyZxYCJRYdIMjyBcpKrX9gBE86ajprfkozx0dWjz1+/x18Aba4MAVru/ORnUnUbz94+rF7nIGxVrM+NDRw9Hmw4L/3F37Jx4soOganw1YOvlnzXQ9yBXqtxE44H9ZzTh7vaj7tDGQyWM2wDABUJGOQC/bkzPO8Uv+6ZG6VPzDQn8xl+gbYGBrrALtJ8D3PyKvtnZ4NBkZkKEQIb8rjkeRLlgyM9r7GcoebQ04NBgheClCxcGqfRl1hPMErKEcAlgQISdTkI7cK20TnYENaPCMNB5QSY04aK0qQXfRR7YSotFHqvei9N+bdVP4fvvTkvolKmB2s8zUdhByjE+FI9fxUq1VcM5S97vw1xbn5f/rG9jaWAmaFiC8mFeqG0kj2oe/SB8CzlmOaHEwANtjW0ipFSkMhIR8E1rYbjRvf8Ja7b/8XXDdMDnrX4L1GKQyZMATFguhp6rZ0xU6Ms7/fgRF4d7Hzd4PeOYNeJiu041xofeWawfV+yw/39S6qgZZAjN5emnpLD9AlG7YAiRnmQHeUockSAmgEc9hGSVqZAxrBYQLbUFpFQchQalWOVCxd4DKB6GEOCucvEoR0ZePdYJ/0/h3PPH355Zc/+8Q9rPDbvHbo6FRzZLRvYqGYTfcgv7b4RLNLSymYDZ3kpDSTmzYk55tl5qfD51cFJ3d6bqpVIfwBGoO46xe8dlXqeYsJzLb0GTHX8LOfu/uibSPFmXoqwyZPahbTGh8kSP3Cp764c/tTqXSCOcuExhm5f2Lm6Pzs2lU9/WF7MJ+Hz6JpScsS2QSRRBd02Pi+Z+0FTibHN7j8NLHaHSwEIIgBg9RA9TawUrQ+cbiVcIIMmylBBfD/6muUwI8wbRBYNyPIKFMu338D1PwxWgt0B7TTSjBH//nYJw5BsrW0xSMVEC1GfZLreBfgOGBHPawt2kNJ2pVMv5hZO5Ufev0mKAif3n7/5+dE03hDQYLgMoQQdmNgd7Y9+/YyEnNlghpFVsggAFO6nI7s4cA3LqiJJIZMhAMZSSoEGWT2pJuSM2kYCTT47q9+GSsqJl7eFBQB+qKIKa2v0cJM6R9ORFiMnjl7fEdH4F0zJ72E1l3X9M5641se3h1eQ7vQab8vuI+THZcnR1ZjgkfJhJ3oV+f6h3QhQzewF5bMwgq5LS3tsLSAiQJHYxsF45ZzKkxDGLsmmrqOxY3JjV2KKSd2uXiiOz/1np8fyw+zm4H0DvAgxaNz8PgsPHaNm8ti30f4x2CvKavHycQkY3rDdNPsUMKiRWIqcLrTEyJzmLeKpkGNbw+kO1PVoACpWNwSnZAf73Bp3klsct3ZL/7DZ/YeOcJXGdniQfHB0ndoPBYBwo7TzF0+LU+FlXp75765LWt6167iY23e1HyJ1Yayq+CmRErvXZUaGEBGgNwh6oODOg/S4JZ7dGqSzVcatbo+eCkV3d136PDai68hxBuM00L+qMvGFCfVwogJ+gqugh0hTdrZkbBGBpbuYg6EFEGXqYum8tlfSI/MK7J84OJVKIEYMQc5iTuEftF687+BrkYVcvCz33XO7922lwHicg5Lb63EAmqFRtHqdquEuI/lQmSYFw3c5YYgQZ+/XSQHyCcqV8uuRRm0OSTr2/RCFB3fqdTrY5uvnj3wHBZo4M8UgNaJF9A8tEgtu2QkjKtFJYjKnD1eUiOAjZBDrwqD4BL1vuARpc5//wBeRrFFJkdSm38q68qDCbUkVki5MEqnzYXs0D5eZfdFQmHi51AGsJgjT8rQQBwE89fMP76q0jlcnsaUDeczLAk1FVEW04KLP4NPsAwulHp3VGa2rZaXTIEziDRMTs1m8FCaX8j1FGQlgxiw/Qt7pOqra+BGdkHWNsvVhpMWJ19Y5TM20XzymcnWmJfYe/xQtYXqzaoII4YIrZADnAqQFeKQxK/xdgbJXE9PvuWm98wQfuUEufF0r/R2oQvbKYHDrjs/PYPNn8/Okg59IYVzCqrzUQ3YsqFafJF2A9RlZk+rwfcgRrVzKrQE9UoiNhyfFrLKQCAzChfOT6R4RUZQmt6AWezM3wZeUX07V8J+ogm51p6wbL0gKiG8a2FCOpQwha4nOyIwRlvBuSiJxRnyi4SfzFfr/+3Xf/WzH791fP1qTIzoVyyFuuG73nnro59yIva0ECEgDFVGRskaiC1GexTpgbJZ0ymN4r5RKBhieRsg4KhD/ZUgzfpsFA0EB4QYPQJp89ApoLXSV7lA1DDdP2uIZDxeQkfqNffzSYiDR65yVi3CHj9FHNfgs0aZ1UpmQtNoyQvMMiM7LAkRzLKlf+SALqRZS+DZpROwG1Cr7w6YDxoSpgMfIpKuqQ+WOKm0apQhA+JjlAu+noL2jC3Ovfryjc/tPDhTRXlm7sjVgRUdX2Z97fizvj82HbRGcglk9nxueuKQQggAhOsUF6rse4LsC5QqfH058HMBgddsZExFTdj4dKJT0P7FIQsWIUpOa6YyfbjU69YrlQC7oBYX0niqU2cT4IElpA3Ilt/wMhvPPY+YIFSPfIGlBnIlwnn5LqQclXBvOejZKrMKITBuPAYrZPc1UIL7Ebtj2KyDfAk4foJdqxAfiCL3kQaKu+dLUe/gOFREtaKvaRix1slaQIp4vqEICjRGfZeRRTFFYEx3pdBDtiB3ZWQ4BopbbKgClLmHMoPDglxUa/JLsBBThz74yYo38Nt/8u7du4/NHjm0cdM2GpRdl7/gNVewdcwRL9U3NrRwgNgzGDukRsZFiIYgDfFRNTKX0hRsBuYcwkUVEEX2oieFeMh6VBiNnPLAqv5k1Iu0lu0p7N51sIEFRwoOmfF90WCIvEQ/U746dPZ46YzAyPn339+6utsG+TedV+/1VmGx+xWjRDDHaC0eCiHYSAfGGm9kWm5ADvhnN3rC7sjaPkLuzBZP3JQDrxamLRUgDkjLIJhc+tcwgr+4LTb/LNwKnwU6eEDUkI+hQLo6G5sRWZTovP1tb64vlHHPyasOts5d+/V/uX3Txk2pci/gg5XNlcO5uVa14RdT6NwKWPZYkTnduuV7b2BftzSbuWQzf/SRz1fCNEbEBmy4VKYcdjKpVqOJqve6K1/2GN+xKyG1SNjFZM93LgL2pEimJM3neqNkju0f+HQr64dLCDwyuUjJYv9F0R1oCSFcCPLY36Q5IcOAGL9Tr0q/8HAvlrEZUCZP8NUXxrHOnpfp7AP33oft44LrXsP3rIELwg+sHlpGWTgUyKxBQVjXCkXzQXqFO6LALApgvDN5glnEwHg2qooqx6DA1nFst4heIZECklCUgiJ6kF6ohRd99w8vtFnezu4sTr+Px6e9ZtvmyYPHeor4hoiSithvlsAFaM9/et+P0REIIO/suSee/fjffCydSGB3RAq64NpX8sFOdphsNiou2+xw6Ls2iGeNBmFTEuRE0l2fuNeGn2PPSIKi2BAjuOzl50FSp44dPnh0jnANjBboJxK72JFmSV5VaWePl8wI4LnsbgvSbA7u7ibyH5kkvfruMWm2zDPmpSEWwXDGW5XtDKaafcxciQYiASYyupUWULoOt+dPjq79L+vK+0uVWUJ2YHWLExvqwKeSENj56InMGfzbdP5lsGj2ImZ+iwW53tZNawo5d2HyOGxIiGW5X+AXejLbd+3dsHZjIs2eBYQ5Z90gfOf3vX3jmiH8561q85EHno76hovlUl+UuOaK9exMyMZu2aH+P/v7O1eP9e795leIrd5PMEMj/d1vf1MhE3zmHz7pudmD04e1LozN8hM5FIZkNgdQM7le1oeg3zCDtdYQuKLxezKeAVdaSFe1aS0hjUIyJggFMoJMxBApCCR53p49+4SXsJXtW7Vq9bi0BZEJvK4BECWDHJboWIwvqarIPCjTgaQDxU+YE5VmzBA6YeQYQhSuZuPxL/7TlW97u9nfWxIW6g8PMdRRbeEHblg30p9AtkHdwFmJHCF9CnkECqgVUrIeFqdZ032UxGQmu/HCjW4SA6REC34xYcACMBYpgT7gHwmD//GB32fksWkg8nWMowRCSFuwUKheqYuicQqb1Gd98bXqMOOjeml8lU9wm43pIW6MoclKuAex1WePl9AIfLz9ytjEYNdQQBSqbqqhpb+omkAVE5FUyF94930AGBUjMZptXzpYGXSbbF4mtqY5zNFMKhoJ7seB7MqJvczPu5mnizNfOjj02QXdc5yDN2TtCbw3yTQzFg13y8XX8yBzCJVA0j07LicT1UZldS7tdWbTbtBX6OstZN78jrcQm8iHrZE4CkN9Cfn7/NL8zHjP0M7n9jy8d4ovzrzmFeesH+ot1RsPP/zojTfeyHawjbD6kVvvrHre7oe/zgNeulBXTCLeOMQDWc4JMIAiuBkiJwzOcTnyZSdMrDLAKzZHAQgSEaABIqUUgjyvFGIQ2KEK2d+XonF091HWgIG0vrXr8fay2ApBAFogMFtbAfvQisKAJbZXwW0Jh7fagQQHkVoDJFDFpWphGNnKRaqELmNtgmy0Cug++aXbLrv5DXyql1uXbO595VVb2YSbQpVXWqCAKpwT9UA0KvqXEW1osE7C9vzkxPThaU5yuczY5rVs0MstDuEcqVAFSJjS04wInl12emNna/Z3CJIf+dO/qDTquCSBt202G86w+AwywaRh+yytubW9kysUEpPABqn2WBsEUhJl41hi0So7TJ89XmIj8FfsCqlpIEwz22puInT9hnbf8HF+82vby+I+TiAZv+78g0355sIVw0WxAXto6sutduIyCGHoTs+Ek7zxflKfvZqPpThbHxB7OHKTYu0gDYjPzBTUCvfSl70asyfKegYUtsJb3nLdtVdcXG5U5o8cZtPVnv6BTDL14AOPHj40GRRQJWpDhdyVr7ohlcoQOoF/EaMC/O2JZx/ZP92szy+sWT1c8NPnXbJNTn6ittv122775vb55syB51OFXlAD8wYZLrsmgXCRRyFPKjSwhUcCOzJhRTA8XAzbWESs8s9WJkB333PPspf6qrVj/YN91RbBAZkWVE5UQ0VZINNJ4Z+I0oT2lVOphg7YEyQCahGwoIR+EisB+XXAfc2wgyK0EvBsR9WgnbINjTEVZaP6j37vlTL74SRAH+MNcAA9Q7zEk6EgJMDGwbaipbTGkUuEAIrFJzMzOVs9Ns3rZ4OogfGhRNoIbSIIinXnwLlAZk6sxIEXh6f4Mp32q2sSx6bP9TCGTz256xt33w3YIWNs1kV+GSoIUFNYBAMsBgIJ1i9tIMVQUg29yxIer2Z1E26fPb7TI/AbznebbVzVDoSClBNmWavkeA1kTz5G7ySRFxoRv5qj5MRWwAnfrdYDJiXn1t/v/NPuQ1eZF74kJtiZT4bQTTZdbBmEVy1M8YU0pi6CMCwUACrAAVhQDj4EfgWRv/rdX51YmGV98Xnnb60fnetdN5Lw0lpcxHdWw/LkwenC+Cg+iFKp1NtXAEiVYqW/kOfhbzz8wDVXXLVvz/6N56z95lOPL9QauSCxZtX4+nWj7IlcmTn68D0PUHMj3fOZBw6wIytfkWAugm3mKLSAyY0KIMO+UQFQK8AeWOAXMJCIAnLkwEHUgFYns2b96gTLMiT4+2y10tPTQwYgVli19sCRCtBXZ8zBCbekbijgU1EMHMgnVIrUACA44SARksovpgry2xTpBSIOGiBu0QzSaRIp1Vrxu990gxdV+dhdQdZYaAq9kOeAnBx6BFZsSoZQQAhIoYUqwYgM9Ff2Tg6spI3m/PRUeXIeM0lmpH9kHR4bVpCyKZfIR4jPhgO1A0HGhFHREhXIInj0BAKsMK/iWHX9Ov4SbRSKnGA2pJmZ/4d/+Ey6p69SmkRMMFYFoiBD9dpMFvk82ANCHEm6D/PvrNTAa/o3Pv7QeQMgn416loEcQ6NtCZjn1aSdVk9UtfICdAHpACpgFIpF0qBzRdIuHmlXzJ/EepT6S+/PlpIX/+7ffzWkIVf2Sj/3+PP7GhCBVMLNpEQXiPiDQDCZAYSlCzwjSvG5j/4vXIBzC5WN4yMsNGI68oXEHFtBJ4L77/7mZLG+ds0gn6B7dl/tLa+77rFn7ls3Nj6UH0LKmDx0fM3mcYKd8Bl+4ytfCv0aho3phdJX7nzYQTWCrUX+O153wchVb/v7T36eL8uxhpoqhUO4KDqzFGJ9S97IztHc1Gy5VMXTWOgfSRPWmO8FU8gx6FLMfrZMcFoLNE4d9YjRroyMr2XpNDtNI1eDRwwywN0ULzIh0sAhqBEbLR5uyYeVQWREhEKZoCbIAeUrr/iqKAUIJztt27ptUyrPJ2tlBobZZtNshevl016WVQ0sObFWX75Maw6oA+WoeUbL53F7SVHSIMwBHgEnl+gFpYnp0vQc+CyM9g+PD2vfKBOogMhALwiZoARcwgqSUBg23mQew0AsPSVkO50QEzWCgvaPVWtNDZArFCOMkwiajZrzsf/9UdklMXQsKZ9QF52K1rUJoKGOxlmFQu/s3+j42eg/ituboDVLF6g4lhTqyAVLUA/cMO/URtx5MlQcPuCW1l1DC+yDMR2xl1aI4JdLKAiblhMdF/fqM4nfiM/v3MiH0yWU59liMrEoMiQXbXRMJ+L9xfMgGe49n/jQHbd//XVvvdHLJlgV6eMlIAK6nfzcPc9tzEbnbh7rKaTYESSb6eNT7OjYxYXpPTueqTaqLM164N5HDk3PtqIk9nnEXHYc5Cu0snVZDDvOf7jpZRte9c5P/uNnWNrJgV2BFURTE5OIvIjb+X52RhkmSFHsXR9tswIFlnYJ+gZaxhAATZOlkE9YiZQwudFKAAkHHn9gC7vlnCWgHHYIDE4XRQPgF6cbU51UALJRpjUrUII4edhZvXbN+LpR1jgQtIWgQR6oGKIN1COfdPPs6JKMspkgyzaVsmZa8yR0brG/ljrwa0/UPoiNQhglOKhhOFDMwSbx88enqjPz5OwfGxwYGsDsiiRFFg2d7dqSrKF9eIwoYba65+WIapCNdlI4YVGsxaAciSqySmJJJrSCsYbgSZbRu0u6f/TBD2M7bbqN0E0xf8gLfaOUs2ZIvZf/88ePd94dV2JRjWgQEwVuGdhLHLBQT7vNvFv9ffdvSPmA8z2VKFOOslZqUB5W0C2JGJYE+A7rd8wcgytEbN26KICQOU7nnINbn0/+uj3nlzhL4KWlAkZkgC7wDwEX0hA8fvs9r7v25UixXhVwOjPzlflyhdXZb3nF1qA1+8CD92A1JBro0e07jh+ZrMC6Qu0ESYikdHhsBZrueMtZnIE8TQqR/ExtqBHGRH9yIbfR9yZnZJ9bNbQqlSlAjkbWj4JJ4RicR1gHZQBEveI5qfNIFLRSMROKdpZ0T3mUDsVQTeo/pkLArx8ehszw+QVoh/yYOqAYhvcLZqIRNM6wTS6hHJIXzMcjCAlcv2XT6nWrUQpg9TWWi/N9LfNBCmkGpgZRM8LSib00ygclCuZslYuS0mxKnzCCisRzQwZM/aZao2Jwabg0ZalztMTmh2tzoicEaX08ECpFDCSXPAAxYcy1HROaETtHSHPCT6FFn1KKVBfGBMJYIE4QCK0NgeqIAMluitXGxD0SaiFlM0pmMnwe4yd+/scJ4+Zro24zvOcbDzy58ylGFWpkGnz2Z/kIvKv93hh+aXRit7lSRF/+zOmvKY34l/i+FQ3YPzUmDYYuLKIdJINezIV1N4nKZwQN6e/lKBPLAspgwB/DnhIa0HuTyOdm4rqoxSbGKdx9de2DDcSKyH8o/9PEWV5Z/lNOSPzo638VmR6+CW7IH6y55gJnoGff7ucOHDqIxYzdWQ4eOLqf0CdkaoetEwnvqUIF7EaVxtmHcwweC3bl1wDRcoEiD3ssDeNrSorDIVCSfWjZMmXXRO2aRKpveB1hDkQ0iFwwHXnMcHJhVZxbBkieAdnMbFkHxdI1awUek5/GytBvsIRSgISi0GRdkxNoEWxMNJPIBwdAQsTgL+XL0Cq6AjChN26+r/D6N7yuSGA2GyGxK0bICmxoByvKiVLS4kRRNxEUChJYRb1AV9tfd3jv8UceDyvTFaLG/fZ0o7Vu2zlRobD2ustnUz77uEiQoWWGIqgR5qAB9II4UK44UXvYa4dgsUhrKBF5EqzK1joO7iu8nKGALlAIZBs3Di02RNKYMCEamBFN+Wxja2OceQOEgCA+oHmIMMoEqVqMTZcTKqL/otSsEKUrGFedIH3966+/7qZXclmqV2nV2ePtrfd3D4LhwCfQBZLrjvOj7Z/5qP8n3dle5Pk7Wr/Ipx7izLGcD2ItsDmxiRbDsClljpxbg9/l75Fw1EoEyALljlRyIK0M5oAcaKefpUNRCF13SSYuaumm/kIRVJ3+qYMvL/2FuRtAHXw39YNf+m0uudvspD5+w7uD//q/PgSW+Ka9tgghohnmhbxKOCOysFgRezOJiCCgGqRB/KQXJLWTUIZthlAHsiygJJCR3ZESGdRxWQcELgn7q8fXJ9IsamJ3tZDVVAJ4u4VT0cx+/JcMAfMY9VoQB8Cgg+VDWnRg+CrVGzjJZincLaJLxnwxYfohAFtvnwZIZdA1qILsFDBFvuLd+aEf/cFqtYxv1IwCTj6++kBBKhpASXlXYcQpodWIydMggMq2V5xtO7C7+LV/npicvD9kjRmsmiJprwbqmf37qC7x6c/n89mhoZFr3vl9k1sGEOcpiTaJkdv2yOanDSHUKsWPYjXQSkpEABmGee0crOZOah0GUhIlS0bQ3NDGmzQTGzWOZrlRZKhUb5FEAb9WyYgO0nZeETqFWhZ50ETIoJF7TFPhGipTAyVLig627xP16eQzPeb67M/yEVhCqfADiriM+TMpq3ds1yzhYPoYZC5bjUIwkO5qxP1rt+ikmyLYwtl2HGBjMtTtpcPCHrRbmyLJC+3C0s1FoYD24GUi0cK7+5xEWzgntsHQApPzBIGwT9mKuGUPLmMSwzn/3v6Vvw6OFou0D62AKacvohEKyFeVEc/NkiQtOUxpwSIKehr/BPvDJpJ5ApMcV3KBm8HutWpgYLpcIo4IzDMvOahPYHac1958S7U8z0aFQAYsM2fxG1grIKseLWdmgAEDtkyQbQiBeDyw1s5qsFnS7bYDKlVWA+AgAmIORAaqE0SN3542lxuN73vXD7hp7S6BJR+WWVyYEZlAnBZTJ0EN0yGDH/0UEQK5FIyRBEhLmFKAqfNjfa0P/9ZfzoY146Q0T4BM1i+ihmFQbIkSgU6Cmsrl6sJf/sUV73tvZzxDYXQUrYN2qRIzDjQAVyRDANWFyTcbNawz9IYMGFlaUEP21uacik3sKQOinhIzRaA4X7rkG1n0FCEOsY0VUngltD4G0VMyF1hPYdOVdgNJRoRTd6AUhpyyywXSBK/GuFpEgUX4iMVHBlvcclw9+7/6sFY6KzsALesO7KYFVlw/MUaWLpy4Xn6mF7dEHe575oc4v+r8j1vQ8otI3+jAVBexbR8G4Ra0XKbYLwl2ag77VHwrLoSbFt7tiA8tiVKAbZtiH4zPeZbz+NLe7f4FbVwyHe1BTmDHOQEyfBBPa4SjKEPAVQ6g+ulcIkNIAMELkg9SOUJ0G4l0VksQmGSs9sMduGgsYJotNKNEOo/cbL8TS6HY5ZjZsMO//Zu/wKqfKNYqpdnC6GphU/xU2Gk02troVZ4ChF3m66KmbdpHBlECCuEJ8Cijgy7N8icEY8O+mfPcb4adm9/ypk1btzGabsCnYsJ6o9isl4VhrVNTeRSiclSUDgwf4FCQQqQHu6xNkHFD/B0LHgGgxGPA1kt8j0fKFDIIWNODKsSgHUoCTVRRWP7YeI5op2plXTpgf9p5rZIkG3zdhDCY9SOWwNEdSQQQJ74hyP5xEXs7UADdYhkUj1ANi0a1aE0QV3i6aAXyBRmQ6lhYTWMl45jBoTEQOyilniScgflIxxhJhkV+UCwOmn+2zVTNo77P4ncbzyHSoQ6fPZZGAALxXY0PgFuwAczgt19N/9Jr6/+LczT2pVz6a2EfSwrxSZzHZkBkQLjgHPr+yPYf5u65F36G32VSvX3Kwjs+l2ndHF/P/MIrq3+wRCCEWAt1c6JLC2zigakmTuTEHnGizWYTd/S966KFv7bnpFtaYGmHJrY5aLe7du166AIoSSaymUQBvxwTLoExHoZK1JA8B+i2cHrsE9qDTQFLzFvxVjZfVUFMPngxP5r3sGf4F4xJykODzEcPPTfe4xVWXdLJmHUWZo6CdPgdjwjAkvyNysBAYlozzF1COHVAOAwMmOaa/cYAQS2XXXXFtTe/qcnaApyobgqNGg9DvVlXcHGHqCDcfqw7ZdMmjPkt6A6HsCGGqUohH+QhuBBUcyK86UBRkCmPPNJKwvYYX+r63Mem52YnJqcltoNAxgYlBNsATcN+qNXSsmvkezIbN44fLbUx0Mzl8+/4Lz9pVSGoinUuqkzBnBfbqSPMlCoLU3PEL+Qz2cJgPpnLKzRVKoHRrmis7CMaQ9QIxlY94kDUkOiBAVRmF/LIL2TkCwIjGUR6YropFymt9dlhVvloKaSG9hNgq6fUFjKIvEf/47/+ukbn7LE0AjEOlxL010oQ92T/3zhx7WPPdvj6x+kVCj4e4rWSIIdHoA6QD0DUSdVH1z1gQUh6fGKLtTDm99HCT8QVxSeYAzABLAHY0ghDGpbEk4RZzn3KMuNC7Al5YBPMF3vJuVKYGkt2CgUY0evRNVsiIh/01TO+E4+vDoMeRFIcifmv+cqZtmIQOGF52NsEDJxtcF9BnO0IkZGYfIaxMgEJ1zBEFiiy3rGvMAilaTgh3ZIQQCnk4X9OpePjw6dVctEzrZncWPTYCxXNQ3KwOL8m9uBAz01v+q6W5xAckc7lMWeUK0Xy1/mqF82T0VDQxT8nMCEHIIOQpAgfOClZADwpghloolYIAQqMCBRwQj4HcujkMv1TpyQzOj/tpo8Ui+y30jfCf7lVfX2vfuNrDz23b3ZhCqLAhppTc9XJwxP6DE7LeWahdsP7/zOg/dsP/GnaScy3KrTHUBx1cnFoIKnCqIKxhF2GQQSB5iM8QLmkbtAqDYU6w+hjL0bEEAXTsAVpVx+XcFLaG4pRY9CMLMCfpHQxTDgmAlJ6G6PLblwML7NSIpLuY1I2Uef0kdHSPw3a2aN7BFaK+txlcnTn4fzQZVtXP4WXhxegIeXolh2spKCPucpgbF41kyHRZGYdPXLZ0NjT3TycZy2eEemhC0/0vcuUt/wHJwJJ2+Y+zq8V+JdRgXaIMrv8sGoCxYIt/SIMR/4z/T+4afpTGOtVlKEItkD7MDktjQgSmTzaM6nsKCtqARRBESnMRf4Q18xmSRi3YHpqkzV2MX9JYCdFsIUmLMxJQkULh6kKEVI3kDKyiZ7eQi9VJeDvZOJ5piMNFOwlbpDT/CqditDiwRFbz+IDueRl57EKAyM+YkU6U6gW54J8BkdJK2wgzvhB2g45kgPGVUiIoILgDWRg/UbDF6KM6iFTvVnKDAEBeLLJUTHkjCL4Kw6MPE5YoVyXvGUNGS5bcItq1AxL7QZf+nzuyOSdT+2Sdg8hUocl+DAjaF4q6AwnMhQFWSlW6/XZoqPvYQh4ki5srzmH9NrC2eTXeHV41rRUEg0NE9WkYca0xQBCuxBKaSsmX30pgPBn1qprbwgHjwrDJXpBu5Fb6YKIC4VQKYSFgjiDzmilKByBbXclkYkwS2TkZSGB2VGyE+L/8t9Lix9hBAAbc6kbchbDSOArx2dRa2gz80TJCSC0eUQXuowRMXWIfHZCETdunArDMXXYMvNJwAl6bWn8Qg5Q1u0lm4HYE9BreXucLT6JmX+c0ibU2Hj9SeHuhsnPiR8ZGQGioLmz1GBIHWKotADtg85SX581xZJBpWMxkXmeHdgDOdWlPkjPhjoYFiejnfyNeC4AiDoKJzRkw/BtbdyG8xyDBFMf1CAA48yEe0NeLeRIl5ouQUTsFHODmoGu3W5fctlFqaAFq1SpHHBSY7vEIiEJA0RoG2X2ZDFiifaZSRhPCksVa6RrIFh8wc6uCB2KNSb8ABJEK0V3QA2mITUcuNFuYzwQUBgjAUnNF6UzgpHSuaMu8D8GBT4LJroGmKiGdlMQD1AuhbEjBmMhWcnKAGxun8/WHHbNNqyePughHhBFabIWQr5Gs/JCBeige6pFSCZAld1loVCocJgG1HUaksTg2G4q2sFhD1zmFm3A7kjEA4WK0NFMuXwZU4lytI7+on7RT6kNWHxl6BQ1QHTk9aJrsDV+A4LD+b+jY8nZtthk4PREz499S+0HeOR/bvD77FOxyo2MSmmMqqUF3WWSzlM8Aqclfc/Q9/K7ZvtOflHwoQvLaEH3s/YcitBOGLpgJIhKnU+sVbuzWZTaFJhvaknU787DOV+G4beLw4vtv5jDsINFymXzyyawRBFU+5KJwU4Pmwc+n2PeyoLO3AJZMvZDRYjONUSAWWvWLqHUEm1t+Rn5mcsiLJIkgDHKMPBicwmUAT66g9jMfwBNlkUmLzYVAGonIhhgS1ea0ghrl5x/Tn+hB6IhdDLF9VUFpjlAZfICCuYyCoFVqIjJamITRRIxNYqysHecsE47xG1FTThB0jZAUxQTl4ZNSj6xpElZaYFkHakTgi02U5pKCVbQAL/IF8qnbJBDiAZn6qdMxzbsWKFEDJfywPyx4QI6etSoPfvk05DC6doCcLQCPzglo/JTpyQv0x325kbGgSBKdxDREb3D96B1n+TQ8nI6Qteow1gh5O71ogbLVRlqhKOkk1UAKQYdYyuBoLFWm7AHBo+mklfbiUIfeLFUrY9msP+fjLiQCtJ5UIKS9Kd/N4eBMZsfih/ZA9BabJP4LdEIC3UKgYGjoluhwCJ/qWz9pdiYiGyc+owRxxbvH77kfEsduvOf8hwAki55wWoWRlxnLf6yzAa9Ni2xb/jt3XehBUxREtce+2J3eve5Zfvw/O5EzmNx4AT1EWpNtiVyoPiBE4dhzKYcbUkoHk52NF4XswP6uqaXvmgAr2fymLmJHAB66aIsKg6EQ8AAcExNo7SDBc1u4U6MGt3GTSXYS1Y1CZYCp7tufGjN6DAhS4ASEVlTn4/DE5UB0uHtUAVmM/84tBIJYYIfVlUR5wV1Vl3SsSmPuoh7EopBHBCHa4qMGDyLp4sUCf/i8hIKBGPDWmkMdQqN6oCGCPWeFHZRMr+QFy7IQDZL+Gg7RgtqAE7UAm3CyMdIkC4xgcd4b5o13O88+Mlv5HvyDCUBiGbtJrcl6XDgqaBi6Thqk4y16iiIhQRSE+03U48GeIZOEHxAgZAJhAgJHlBcL0lUiEIekWPcNp/Uk0zHsOD3oljeBhs7QJRl05VMKIkDsxEDx9NwOIiKxkDDy4tU+PeSBYuUl9qBFB2zRyaCaV4eGKM8W+qwlMj01C6DL9h+pGjyiNEZYBiok5DgWc4Nck7iq9yDgfNrc1po0aR1x//54OibSOeQ6GZwxftkvG3iKX87CcKmzAF6JEWIw/FiLHRP4HYx00l/LHlafeRLPLGYcwnViyC32SlWM5f/6SbzwYxJnLOrSKJtYUNdCctP7cRgN0ahB66H4x2zFesjmUTsdsCMFFrFnfWkUKcYALRknWuuSQY2NJz5LV5HskRqus5u7kZIjnpzqUsvvsTtlAEAsoUMatqdnWXXDDJbHjOxMWoIVUBRqj+oMpIxtWik2ZTIAJ5k8vl87cHmRnPG3a9Jztuzf8jISIsIGPDxtJ4FuuCC8qmYOs3galdouDWkEOFIooYVIghkEsyl3OshJCPUKgwKyBSyXUjaMI8YosAjclLAkTUKut1u3f3hf+RjVD/0/veyEa4e1n4KMrhATQVLCsExAs7NORBFRhBFwMQD7cLICJRFLrBcYA/WZtja2I32KMRNgVL0UyNMoKegz1dpyEszoXEm+hvKLTDRErQ/ffUPDUXLWohsYIzoJSOiNxwgjRi/Kv080/wg/7/xYUFoBHSo2GLbLOwN+ZV/nCaZ+XiiaSRCLGJB4MQNx0EQsA8u4kQDKGt8dx4uYxrUxbp5ExpCQ1CUnzzdd0kBifgguotaeQ7JEGBFOIw52GgKhktro3FrCNRTSwC2DHz88JePrrlpWWlHVt9COjlXMvkTOS3gJaGYbN34J7H7cqnGE892n5mcRF80JJoySWGJTD0mNI56bfPBlXiy1AvmIlPYUgDgqPnHZvPArwO8gYGMkngRE6hJzvXXX9HEK6xpzvAS5FsWQRUsJEJADUAjiOCWWCqWOXJSpUYRnqeSOMQ8pWjwJElUbepssvephGBIrnFleoRgSjuS0dN8b4oHeYEiXAoTknlC5ECgojZVDHyMBC6Us+WmSBK4xZODgULgJ95LD0iQF1wpWhYKSVU0UwZF7mmARB8ENrposiPPYP9vXnvzK9mhzdocqBCzLF+1xv5iGoCETwHYDkVMWITN0EFb8Q9bUyRiP2QEhYk2JjAGoHkF8kQgFiB/hR6ft+GD4HpWShPglhTDe6E8K4PIRAztNSoF7IwnGEt9GZcQTMkl6Cmedrvhi584MuicbTzt/44flqVbcsAQWzx3t8piW6N/MrBtHsveKWT/yFvjpyxdIH+MfHtrGcLj/MyF+JwTpt+hse+KUwRLc1jQEhB55KJLcGHGGc4sOGBOZst3uY8NVzfwPqk6lbME3dNJc1Q9tu9uZntc6fITU8KxjdeP7b5fdXUfRn4/kbBU12LKMsJhSUNS4TFCMYiC4RNghy07njQCqGxfSaL75FTnpemubIXMfH7TbuflV52fJzKK6F0mNob9FstRIIkS6UG/pDSxcw6hSMwc8KIkM7NNvUxtzVumuqEbTH2qAIjAw8i/UBENBl+Nwy/BzOYjnbSI7R75/IqQL0+B4dtAG5wTJmgOCoHukBL3hRRQZzmoWqaKRWqQd7RlvmgHtRhNydAnHKEMCiEcknUgfcq/eFAPZyQIjsZIye4yN/z0u0o4DuhbE3sKsVQYWdQXPikO1cMe0YQ40nezuItLVCr4PtQHVzADm8AdozK5IcqI3ZdpxIJyyRKYF4jmIlIDSUW7yMmCq34bemcoK9XC3DrQa4aI3fekARlFCgInOPEgvJUpyYoNDDoSJPDW2zey1Kt/k78I5N3gNMyZisWZbTqzi3OGjd9lqI5FiTgzJ6YEPcLRLe3HRrvu6mL8L5IYZpbBqn28G3VMx/FDXz269rXcGjvwNcOPlIvzY+tvYJJia9DrM/4J661YRh24JD+3mL064+Ad2YtTwjuG6zJU22fN7yLsF4taAr99cIm0jT3zsHGXsEPqYrUiEzZPXDKXS/lVsLi+OboS0coFDTgP8xxYsN5HarCIAxKt5CU4PrjQMp52iNuCQjasGV47NkqgA+ybh3kSSxebSyprh49T6mGGnthcSxLMZJV+y7w3iBRNMPgH2KAPyGFsw92gxhFBxC/ZCJmSHVXWeCycvBo+4yaperEQcEHMkwyiQomKxaIILUDJUns45xnBgru8H7IhJqgCWzho5RamDOUFzRo52qm+aAWbOVDg2dBFBIE+Qjm5p6HSy4XTQ8sgjeZQbt9bqFfVcckh1C700nL0fegCwwKsmUlURV7oAq+A8ogrg3qQmUHD3oGKgdhKwSxHoSWcMJSUYoaTT2CksA7zGTHEN/qi98Jns3hteoXyvENNqEhvTD3WmEi2kOQAqTXqFOlUI6IiJcuIgbYH/wd/rfHMyGcoUNLyuiujjTDnbgObRbIRMZlOJ2WOH1RHT9xSHlLiu0Ba526WL4qi1YsKdJMA3tCJZ/Wo8prHT04XksWldZxcAgnIuOYGTgr+ojXE1MEkn/ixCoWuNcXssXRyImXpjv27In3suQePbbmKm+M7H2P/ssXcS72wVZ9chLmSFmPmvMlpsi0+C+tRDtLtuC0i40QZyAkY9AgLFI/hncGdxFx4QlE5yOpGRnCcfCr58ku3YCHnC1HEGMKP8PgbokAFPChXZSqpmGPM4DBMJF6ognQHsXPgD88yQjlqhaChqcxNPaZaTXmcyxgptZxnOIAJTByUcQ6nxMsKINlOGnkBBV5CBwdLJmmLsXioXMFcONcjRl7glwJV1OKrBN3EPmGANJRQsJGRETzyJC+c7DxLBi7JQ+gXFM3YPVQmNUEgJETwgGiaAa0yq9h6tcICE/DP6Nna1EIJPaZGkSgtsELop0uSXyAvIJhIJDmBaAgvBjMN1AQdDuEBC6VMj4ywSB5eDM9vAi2FoGKwaDIIahIyCo3BTSLSCx0S2SGRiFZ9gFBt451AgAxxxLMLMhlx3izvwIamnZgP/8pnxnJGmcKe5dL80s2Tge1YA5vFdhfg1Rj7lM5OPlZq6YsWuMiDLoBwBgFj20GjsQveYpsJWC7FLKG9q0QmANiw4sMp+bnNu3QLoGLOFF9YgeGuQlecWiTHaOS+TVmRkQRIwNHzLztxp+MhCxzbdoUgfYIGLt5fxPmJ3CfOLOU6cW3PuutdOl8ibSISnMvq2CSSLkD01QaRLT7WzIj6Xjad2rRxAKqbYn9Z5hLY8uqCWbPCSh49jJjBygoVoA1ipO4yGRVIzTwN2doU6iBLAlmAgfwZsEMZ3sgsYsEfacmivExfAKS/UsOBmKau/sI4gAeSZRvdQQZ29j5EtEADaDX4JhWnsGSsBJKTKQFo0A60HhVLB0EF88WoKRKxzYga6z33VS+PAC01wIJSRMSKCyTqIzSkK/CbwjSdzfN6kAr1oCmCRKCvqU8F5WrNdxt8/wLiSMtI5NBydfNXfTKHmiLqI5VMncJTyQhQHmFJZtWDGRuPj/3xHCWpU/r4cMXQJd4k9VMlGFv0ffASaDvEmj5j3aBw2UdZ982XKaAojBrGFJ+P6GLW0ao55WVzf1HDJfalFv4rHFbYXmLaDKPe2wl4G9ZtqYMSzWVc6wm026QlHC5eLc3gOP9KPn9s/WuN5M/LQAtU16Ry6yCcnvfnA2lzyTfemGSGUZ6E7ZNH46Rb5rkX9wOTtaqE5dhIbHJkGLwtFmCY+WlZvcCllsicccEl9hE2FbMpUBPDqEyyZfgrRsY+cobfM1Vtem0JCg4JvlkSsWvpSCE1Pj4eeK0MpjCmqnAKfFkL7PNpA7kSjUWdXyY3GMeswHYDTFOAib8NbpXi0zqG8wOyRBowI8/Cya0mYUAoVEmlh1cyeYVesXfNdUDCnLcpKpNM4IW7qowFyC2+YqcoTw+rWkJaA5mx/bbUJjFf0Ru4MNNC1cFmVShPM0cAh2K0NZACO0Ov/0kF7+qnauEZ0w6YOTQKH6GeDlulTDY/D7R5il8zJpTBGee2XgAm1q3Neeb2T/aPDiOJwaH47hUPQFUxY0j7MNSH6qhZFRm6ocQoQZyptrKkd1BVGoMORSYjwoqS6rNkaHPczJC/zE4PNbaYIHvAKg8ck9Lg5G8wFdAuMppwEoyOkFd6wRtibOk4Xy3TsGMHhfBB6xScDTX5do5FPswoeh2rjS+SA8cz4BTTFhrVWY2xPVdNTDU5o7qcZxai3LJQjC/jFD1mDkssyGby8NqUahPN/bG99xgd21zYnxjeJ07UKsOul8Tyruzfximwpx0wRgjBEuNVw2K60F1mzN4XmfkLoRpzBgEUKqEr5wlgx53qruNbP48lC2M2OfF8cNm2XmpO+UjCwKnKomvJ0RKa9eIRZPVBbwUeSTKFoMHlcIfxIWq2iuMQwPCwazkmEio4BkNoOJrlRrzQCcYHaRiGbYpWUBHagYiDodyCuNSZxZfNpZYSaHIJn8j8zC9OaIu2HsiydyWfmIdIqD1simbYB7DRdk+ai5IduKJwTrikENKld1AdTAyE6K46yK/4Nn+NnQLyxy3S7S1+/cGh2anDOe3WzgwQHRGR4AMW+lw1k0JbLeJNZHGHm0v1ppILk1Pu2Ajf3xMhoX1YDFSR6BTExMj0CkCiZFLoMiemRkVT01UaDI+hAxpPOg6dRUCq1nLpHJUiPZlYCa0K1RvCwSyQEOmooWS8jCWGbvJ+IEh0X1FPagkqBkKFSBJ2XCUoDl7fAFcDznBYKeAUEjjPmHlJ3xYZtUjnYiJ/LdNWCodBsnlLpIt7KzGuOrac23RZrOysOFGa8tu7OjPnyrPE5LkVP+I4xzZfI2HB5l9C1Ak42RLO+BsD+Iy5aMaJ0WOEu6nDKR9cLBa2392XU2Y9OdHaO0mLMRzfXwZm0mlHfJeTZRm4a0UYbnWXtiybbWGQ7PARGzCmjQaZQPUWUY8YIHRgWjTCLYsJIByyljNlQQFAZY5yrpAIk5NZjD2TUpjo8HtCmuHhzD4yazbz7VimhBTtxXYDSAtO0w0QSciD4eWCsUZcwNYfXQnU9Mnsm9V0qn5CqyeUpEBpiffqJ39Fvhc5O9qLLZ971CQyFDZpqSZtq0k2eygPJAXsYrMUsTHqJpgTiZCwkevLpy/Y8vyefelShR2v2Y8fawkyCLhUALnrVRhhPiSxbk2+ty+V9kvVRqtYS/akIa2MA64JgVNCgiwywB9jJiUzUKqBUZHQo45yJblGOpQ2naFsrR0hIoL7mQy8XsoR1EZTntK41kIKJDWFVTLeNFy0FduIxoLhg05DGMnJOLFrCPv9mXGS41QMjqd5o6a7dihO/Rvb4WIkd+dTW07AQ4On17yEWJsT0PIm6Y+9tI/wuyzbsmLjS4t55e+qiLvLLpelhAnUcpRzO8WXQ7372ZOBtFhtdwaTdOSii7SYaumwxVq5YClNmOQ/mxiD36RpWi4eS3ShG5b2VgxOSrEpYJhs6x95/vDl5+MljTMslcWgnjzU5ga2+jjDyhMGMW5NXODiKK3oNTyngcNPZgBJAwpqBP6yDSIawNi0UZSEe5Y4QTLwxCsf2oMsZfgntAAT8RGmbl6dmd9MfT7uwDOsMtdslw2BWUNDwQlT3MjySLkh1g1IAIKJ+BksTKZK8XOyghvQor7RU7ghbgstfwNUsFOCfTC+gcwm5hLLYPVmTH7RgpgAUa0ONY2SQbU9Ny4YsKtHOCQ4UCcCkTH+UhLUBJypIQQMJZObzt2MRlOrFosVdophtRItorVOIpUczGkDfsgfK8EgKHxJu1qvZfJJVBqKZ6aIctEviQxWejeEx+hYZu8rDDDAVyiWw0emTXqgTTF4EElFMoD5sGW9wjdMaREtJQPjnNSwEG0NyBhGqQkQWIYQ5UKbzKjfoj/gVVKRVmZqaykZHViOgV2YPhJbbbKd/idG/ukmXJwenywrzKaDcIqylIiU8NTCfDzXl6GO7sa3KD6Gurzt9jC12HQMeKigKOp8EU03l2Z8dwn2IdWydNem8LsyG4nL+LZlvKfMeaLkpRKZBXxaOu6CJQoxLJdynag3xvb+y7ZCF6hlw0N7mSoWYdaK0fXUIsUkfRGC8b1TnZCHB+LM8Qnapc1OhrgKYnzApxZXwVOZjoa/KyaJqSaVEaOfi8KADR0eyVthLBUYxakMCwiO8oAxfZO8fE4IEGAvM8iBrlIt9iZg2osfK6QPc5gR8pn6kqY1P6hQ+47QXL6baVAthyXYtjyOikRLmO/EViMEg7im7HIiVnBD3KNaL2TojmaJoTKL/IlGAnthRQAQRAX1RamCP/oUHTVKlRfxkfMWOkWXBDmYHNe8TyKTkE2kM0El+vK5PtZ9yl+gFnSS6cWv0SX4aAYWA5RNHqbBob4SSBNpJKVIvTI9pQEkqXDcE/ByQwalTGl9CqOBiqRvc9Nmq7jgMOZFcfAdPbbBkqJliB3CGs2DAEjUkfuDASKySYOOTEPbKJ59+xDjRPW0TI4NSuR85R0hqqDeUDfqhtFs7JQ4za+dMYu/diRPk5PkJZgtwwwIdEM+n6UYND18Ms5tcTHauQTwcQmMGweXJzIs1UL6KRdEH73oEvOQY/l8XJTKMY5Ge7f7d1m6ZddkWCQBS0+dwLPkgxOSOTlP3Foql3otgSMnaeqCWYtlHj2J0pm7iwhfelp/Nz6w/8DV5/LbnbgM/zGkzySFdT9vz2nM0jBCt5bfb5soAUBKNs9LgwBABEtBYpBKoNVQhgTgIwCEfFsT2VcCsWYtMGN2ig0FUZLVYORXWCTd48OdGc17qI2iHyEfQSPiU+7QBGa/nmWcQB80xPzPGYZOS/vFwylIUjFDLRhJwRGaYIkQJ/EcNUkKPqAgC059121SqUIsBH5tnAKTNrYGEQXlNvYP0ija5IkHglppyaI4g/4ibdyQKtlSTcPMlnZUJh8iaj/t9yO0hiVtCKhKu1e5DC9Ab9XRBWQgFK+W5kCT6AGUgj+GKNFtBkE0FDoGSYMsMAFJMTmpQKVZQSYZpKCwGlQjAyoATHRG14Rj0k8OiAGvBHOkyBoHTyJXUb5qheAS+IQoju+W/aFM0QxmSFwxZEFala2Ok9Mehr2fQNfSdGfw9YiZXvFdoXdpwnUXaFEt+Nn33H3Pnp/8FHQuPtzWSfJFXJfNEEM6PrHpMHlOrFVfJyeXb/Pot+MduPxcOPOJFHsW5zcncZ7u2i16LBERYJa47vKizLUlCjaPFQpiZNr8JxB+8vOb7j8EKE9OO+lqWTkn3VtxcQoq0JUnHiURL0Mv4LzMfezZmp50Ue8cnm2mJKKyeDjTnpnN1Gfq4s3TXZYPNTLJrNnigXmOBqFCgKg4HjYJwGDWDrItUZIZSFACAQ1ouJodYBXuzmejNVnBIzVaJskVKcxeBgMNFYyLUhjYQCmY0+yNqDRxXVDADGrD0smDTiCcMKekCIgzUpIoE/Cj0QofhvFDXKxcJHKjHtnC+SPAiYUbjIrXq6PAHsZM470UzBjCpKUNRsuAgFImlJHNlvQooofx3eDvNIUJcjBxaKooKbWoIlDFSAof6pehJXEblN8OvNFuNKpGHGBtacMMPs1jhQvkRkqRvCfSd1Sd+mwsmIwJZEQyRV0GDRIhzmqtgSNh2TAtBkTtYQ0t40BZXRC07V7xu4gum9NyP1aliiLpYK4vIwfLEGLZ5qLIcHLhy3KedHOJANk8y2DfnTOezd2JqOUoFHFKnGextC6BmTzI6t2Z46e6T+I8FocWxkIPopAhCjE+Y/mcx2OxnGxcxnns4/Fld0Uv8vzMCH/BQuIBWZnTtgrHFY2HQBi7AhNdNEDzCFEDRRdIAXaUUuRb5j1cig9hMX+FOcgH0NKeNYiySLKddFqbxaWTKeY3sx5RuYUVwMgCXNACMEDxzHdWZkheYIEgWoLwiaWBM7IwlfWBZwNaAZ8kzT8gpWySzaicTIjcmt/yTdJAgK9iyG0qoiSySE0AWdqmlYMTURj+l8XD2EaBPhUJSEgK5IUGqABkCKMDKMVwYUU2eFoqRu8EVYwr8FvaYHpEaJKfTNnvWTJiZADdjPvSBrYAGa+NArdoliibmL/UNJrMoGntKGRFsgXliRTyGS5RKDKDY3YoxCTJX+zDLCyUJqU4Cw5aayQgO6oSlLgrhULmDJAPrWSRp6K8UrwIHCk6pJRRsn11ohzKSUHqy5mObvKxdC7ShoDAsYJbdsNYHHWJl8Yntq7ubKes3bLZU97qTlxWrL0FW44leQsDssVQBJlmvLuLOXG+kntDAri9LJ3SNK07/p5rzuEvvN1mi2shkXNlMyPQnc4tjhjeCvA9OcVenu53JbDB8GIJSy9o2bNx7TG1ilOW5YwvyQCBQMxPMq8QQw3U2AGSD0xhzkpqOiEQIB/IUoYFi4mLCM0nNWX8IjaHh5nkqLKEAAJYnpKeLJjhQoezMEVZvinQorLwT4IAWoCkXya9NT9yTocMIilKrE+TVZYGYV4X9kSoEyoFCmGG6SlLqTih+oOMQElxZin3Ksq0n3uGgJBDlIBeyicAjhnRRcqlehTcxGPkMJU6YIoOpBKpkABH+i4nziKWcKfoHA0rwMQCzYKuUqF8ipQhaiTGHugLtS7gVOymyAb9EqqYVIw8o8sklQVUtIMSFIJE6AhE0WWvFyFX2zEwpyW/yLpBDBMfx8a6SQvbRI5rXadoqIy6GloRSDUQCqZ+US+/Ihc0DqcHuglmSokWpgDag7hI1hc6VsLvzMBm7trJarN1T2Wb3p1iK+9OX1nd6Rp4uvltWLeog63I0gUgGudn3toyY6gsqyLOSTqZd1+3evO9R2yeE5A28N5y93HS4Rz7rlmLcMH5/ivPwTqw7+oNNr/NYM/j3+4R6D6PM5zypLtV3RlooemyOmWbF5ObOBvpJNoS7HnckTjPyhNoAhY+mIDUY/PFaSYa85cJpxmb9FLMTfVecjq+MbUAgwTrBuHQBDek+W4e0jL0IVDcZIplReKwUb1Th5BkWDJUE4uX0Y2JKS4I2hUpDF0R+gzzNphhnsLblMp4Mc/JywRGSxGtkDRNfYa2gAcakjA6vzKqSSqLcvVXEjsPG/HbYBbkg3g0HJEQxCHIORmROPSY2qPnReZot/g20oEIGSXLimlkGVor0gA/BsCmSYZ6YV+F6CFWEOSBMcC6FYR603KCglkwaXbEpRBoK5/owPBALTh+qZVmSFYRfdBfCBnKQsqQF9opWowmRIMlBmgvaZ3oW7hsWmG+lS2VANgjf6A7INZBRei+xtJYlQmkggroXUQdNgsw4qEoJt2QORtRkBFTp05/LAPqMmYe37VcmmJsyiLyTLFxHq5ifh4nMll52aSDKMntS6C1zNay4tO1zuaJ78aZ40IWkbDEt2MwxMiJc8aFcBJnixOB90qFvzsb56Idxh9CL/ZffY59dttdk3DTuJzuk1NW3Z1h5Xl3jd13Lea5G1MZe2IJLjnj9PipuKhlt3ikO4XVjTBSZgx8R3Y1dAQS4EfisB6aBQhBT5fTjFcvZ6V4ETMSOowvk+nKUkjFQYA84MEch27wCPmJrG42WYgqgwCr/PgiBxUADiQA0R3Dn41lFdBDc0QURD1ALpHR7GcETg3mqd9CR+hVFDANMHTL0BixS8n5wjXl0G6kb7WZNuCiM2zZcFKCtQ0hoft8JBLxQZlEboQQGiNSoQOk0xKJ+yIpQi+qA6GR5p6MELSGDFzSBWFTa6txBCIY6eMv0AL8NSpT5AYOrgEE4RSDlGAfhPkzYvySTVRDkaYUCIdnVSnEB7rMmLM9hSQOFChcIfo4pcSHDh8KR6oTRTHWTdEDnsPTAr3jvWlcARzmHKixKZQhEx2js5QNFeFFow+gUiH7LHZZXTvNEcsIdtLEqLbZmeKGZZ3Q7UmP86wEwMoUq4ojkzN9ljVhGfjjGruzmVdKjXpL3QcGDnsZwyC+uzIlvhWfdCPkmdeMAPL4FifLIKRL9mQ1dK27zTx43p3T3Q/G5y+mDXFmTrrb051+hlvLHrGXy1qux+OQM3MOnY5TWM/I29V9oo5Y3ajJKv4jWZNzBRRg4mb+42v39QFVGA46BGYIIyfDgpPGAABBCPhkRYryDIqMzUvgxFZBxDEbu4MoDiQQYEybmEByxSHpGqFXTJFDErDKA+5SqwUn8MsUFrK4BKagS8HICmUmWbYNLJQiOFIKNPX1FFgRnjlnbZLCskT9JFzTAYNV7B6mXAkKDAr8VciEQLDRowADwInNblRBkXyEqtjQBz2lQ6PGEElwAsw0WL4JqJZhzlBZshkyYPZhswhUwyxpoB0Uq0MkzpBfdrYxhgEKRUFD7EBQgNgoi3kXNB4NQjGOUEaZJtSZZsi+GEZDoFwIES4jQ2jswIpqKE4adYJaCC+hmQSJiXhwaJMOMxS6OM0RiwndaI/RaB9aifZueMQFW66+8tbKx+NH4hOAFLP6GFQ2ZRGQMu+eRJ5OPLskicQp3Scvpnbgbabf4nN0vxt1lACCzD2teeEg/64bh5YRhbjZNg+/3YXEiS/yJEbvi8xvswn2ln51kQPab4i77YIUqLjMoOGyBgo1F97HTLT8EHRolpnpDYPFnMb8w17eknOTIBz4KpMbxOJ0YMkT0gT8TlnEtBbZoHYrYhGxvtBKOSRad511Z1I9rFt6uYlBXJTuARqFGIYM3MAXlaBUS8IwBkqeMnAkG7nMrsxy1lMyOAQGknos9sRV5eOUeCMxXDdBr6E+pu+CHBVhDhTdUWmkQE+M+EDdsujl0skok+bjVJQgQwK5ABXZGD6ICP+Q2ClT+pghCphhGAeUBXpHmzlEPjATMHyqlUTbPM7h4DI4MHRMErwNdJO9sVlKio3AjZJekogd7fIERcDagyBkJA6KhPrIuyrzhbQVCkXmQI80i62stRI6h2BjxBw8JYuO3zRDJNuDscC0JDycaAztOeURNNmkdvkRw2klzsm655q1sWbe/WT3nOtOX4mZ+G43eLrP4wycQCAowd61s7z7Ludxa5eln65eS3FOd1eFLNGgHTf1g/+VOUmJ6YK9u7Lxp8M26LXtPF2G7l6csmuWcJNt2V1RNEMRlqVr5YfRejjpLpzzAKwa7qHIGZXIjG9rR1OmNUYGsVtBB8ghAOge/JxQGVZSoTmnEb7BtrR0WJ8+uSqMeH4u8GuOU+TDWNqehIkPmPiutDQQ6zpDJjHw1h81iFI5YOygUkCFH8vAgYZBAyiffIalc6aWMPVFL2TmE+iEQxQA+VD5fq+cF2qmyAizX2yW50XdqErx1xKsaScdVG/NQZWIBSKNXKpEek2usJDPDqSSlVKxVi8i/8PHaZsRF0BZaEwzohU8Au0ztgZRH6Ge9tNzBYKaFNtBaUO0lkeoDpBqIYlReVhcxQ0BG9MmvxpENKoWBECxl3SQAxuDIb6cItxIWKE7DBfvCTVHdA7bokKnSUJWkjkHkk2pbB9laZ8xV2ogEvAKQuOXum8H4ZS/Mf4t29fwdJn04kdihJxSM4+zWSTHlysxE9+yJ8vmcfddS2t88bUuA4HBrYV3DJK4bd2P66kuDhnfOmVifDc+AWYX/ctC0KUEdT940nkXi44ftyfLehejl7srby1LWVZUfBln64Y6TptTpvOUaeoiPbKFxI3nsycR31zCrAAJEDLFl3Bb4m7QRyJJMZuYGkmYnQXQL4Re4pwkpDLp8E5wwlMo24VEMpMi2sHY2CEayaDIhDZGNqCMQYDlRjZWB2Uc+oNXwWAS0yDFCXW2cSJGHOYTr0BaAvDiLfogzUB7Lxr+CbgNK4erkuK3tasoWdVVDB0S2pfcjTzEgSgE4wQWPCfUgBW4qiQaaA+0wGg1kBh2kuLbc8kU1s5kpsMY9bayaPtho4kJEDHGdkpkAhIA1VI9Um5h8oQbUJCCl43PwLQEDi7NgezyZFK5JCJFRkFD6A+OXrZ/TcsVwl1LFbTLLIQIYNvh1WiTW9ZJCqNeWt9EXAllcuSa10HB0qSko2lfPt6SRk0GHENEzUN6a7ZJkEKpSmc8rCHAZjEkXKfs6bnyoXg+rbzVnbIsWzxfyYMQfsGX5zixwObEQjq+jFM4OeWxrHDL3pcnnvLJFYkvhmmfMs/27ypc8sVSd3ndfexOX3m+LGeMbYXEEJ0vr4smzxmOx96avexz1ZUZ4gdPORqnSXSDZpNQR6EEWRiQGASpCcgO0AbDQoE+2oVkHaYbUwThQBMOOQ74uTm4JdO6J58bzKZ7M3gwE+WFYpnPxLI3IlHWKQIitMgK1QDBFzsFMMKsIYM1xWnKm0kNPCUd6DBGRZEgln3rHP5HVWDX8l5BC87HYeQFQxz0qHlYkoEkCwUYyYxgbHVyNKK+Q3EW65KTgtLVb6kkKg6Iqnf4UvgbhghTvsd2NTDndjaZa3sN7UOVln4jyLHPXVNb3etSNQJztZtyoAAiSRyWjxu4wszVQPKal0sLtZBBm8onwTEwRjRodJoZL43u0qyHfGqYYmkXgeGUiYmBKtlcjsK4VIRzm/WwNFON0RAaSYUgLKwr1EDXEALNgDLG0CDelhk0c8+MpzTHxAtQhi5urNb4z10/ikGOGRwzZJI5ls1pm3i6X54l/0pObukCTy271X15ykm8zLS2DLHLLk/Xqu70b7U7PBs/cuk/V5Ahu0vjHGQC7DgxBmqccuYTm7/7qVOOA4Vc/k/10/lEuqswzLY74RTnjBsSuZDJLEc91UooTSmzw5LicInsp59SvOmgBStznnT4ncIeUUZkZuB/fdWg0myk0JNdJ61lFO2KV+c5SR7I9yaSCo4n2ZaZzAvXJGbbeRiuDT3WtDXAlnFS2EYsRqXx2sgaNnzJAE/YEO7MUFOyyIQBobEnmk6K4vCg3hCZ5bRQKCHEiBSVjKIt8YfqKclQBMAMxghXAsPSoWScFOdnSHinCOssZ8AaAWkTgQrNN2YIeUDyR4qSyIIAQEyT3oupEUpGAwUCquU0Fl3plOyBoq6mJUZ3Y5Bl6BX3b9WbTiabUp0sI0NkoK3gH3mBJlE3u0FLZ5SBAWIEaeZSoytRgaFOSvNWhSJO+gtFwZqhsAeZHnDL8l5gANJVFIt1Yr5yd+Vhp2A870Gv9SMYWk6j7F891w3gleWclGJk/tNN7u6cYF4lx2PXfa/r3GboJgHxedzyOHt3m1fetdm6QRg/eMqTbkGdDGd4kFsx23/BHp2yrmWJK+FtKLbhPMuyvojLeMS687L1gGazliiADbQACfbowMQNYBJvweF9dg+Qq49ZiR0YXppgslZFRhoIGQm3wCUlMFf7/WQeu12jhjRObB9yJ5jhFoYzTJJhowLnN0t0ZaFAWMb0jpAiSiTx2KAJziuqy9TWc9wijMhwZH3hnr3n5ZBj0kuI18wHHVygVxtA25kqFDH7KZES4LYGGOKqJkUyNLCBJKgYHgeTJnRCzTShWdSqL+uRiAIlKUB0DJmf/VRwAZhWifRIzOB5c4BMNnGjNUBafkT9VcfVIFEscWf5b81udWoJz9JMPIzGvooogjpG7VgM8POwzSxWCIaEorzIfMrbqEVoNArIwAQS73tJlfSKPjJGHtvSEjglUiZRQjRd9giIC72gOVSL8YYNXeTkkVKiZSM07AwH4InlfJuNaa3/lkJorAgQnErF6C52JchPORfjR6w1LobQmTPbp06H87hMC06yWQDHQI0zLDtZ7OkSYbJdIE/cKnMOO+iij0uZlxXFpRk0F4FfjF1z9l/nOHlkDCU9vWnjBatcto0wHF8sU4KA2YxYLMjE8IBboYWpRkfgXTBRAAIS2HDJbJMuCuIGkABiH0muhc35movZAv1BfAkXPTsTJTtFKAcosHxMWGKmImOwGTR7zYlvwQ5lBZDJjEmt2iQ+MIkDv9rQ1ghIJUrTzGadqEx8FEOZVAp2ZF9gulMF0gNz3uzLoE0JJFkg2IBt8gmOQhFYEWZEVvg1NMLgVNUL7OgoKA78Ugu7ZDMCdNp4GVjWhcjDNzXNFyIQ+83nqimBPFA5WyCFQyIpmREgRbA1bg9Kg+JJPVHtZKA5rFlV1ZADNTxs0DwcxPrGJptBEFrq4wylC4g/IkCcMKMYHz5wRzf4zhctMenqCPmldZnyIBOMGitj6boxpuJlkDFIRleIF8PAYDDCUjlObF1BISsP6ALGtmUy6iJmDHXQt0QMHk6eo8tL4u4LKuGWn1uEY2KM2ftKzFt6tLwODf2ZIGfaacBjG6zTFzhOpgKaNvFh4W2aeYr0OFt8Yq25V366wVuIE095cuaRPOUjNtE+uAzeZ8h/ulsx5dKeCyYgkhkmvOHP1zN8VU1TN4nySpgfVEK+RqYqGidirbgaoATTiqEhpAGXG9NSdgTFCnqlcqUq4LfYkZZXy5k+n8kJXJI9kfgCnnHo88N0BbdGCBBcRaWQFEyrCYXgLw49UCF8CUWLX8cDGmaEYeMUpcLEpbFekM/YFA1Q9Q7MCQ9LmRdZAIbAwpQf37VX4JtCcBCoKBlM4LUY/MEQMg6yRRhp3wR90hvws8aYp7TkHESy7Yo64TeMhY/yQaxoG/4IEwRtypdJBb8PvWNYEQIYRiFV5EnEjgd4SuIPWRhH3gDCAwsi6BsLTCGtIjJSZnCj8su7UrF0RwKCpjmrrilB71AOE5mDoBAiR3xr0HRdW3RpJ2o+XWSMnyD+hA6mws5wnHK+gpxl6RbGMaopMAb2SiU8RjIMvDsn57q16Gsw3Vxq2eIj5tZS2kl/LZhPx8lPhno8C04q4Vu6iFF0yqeWDc4p83yriS+I/JhmUfKy5hlC9i30Go5sPmHHnO00maVy4cPRtEkBjBVyAJkDwMw8uJCEeDLqw1FENBgWRDZmmzaDSQRIvPDSLKHTcGD2HRTo2We5zARlsib8hj5nC6M3k1jyNhASMJjBRjwXqLThANHWogua5FgmpCRTA4qNmWi4GGiD3CIAz/r5uEuTAQ8mRHknFw8xZyFKupLkC2UA9zyM8C/ZvgMBEEhVsACmkARUQtCkleJmM0Vq4QIwEwcLSdR2jNqFjXoRrdhUUxKFdoGT2G/2GJYUwPCpa0AR9UlYN8QCnMgDYgiDUKzqaLbukshYMRbmIIVW85z5pgbpItmsnhInNV8dpL+2iyoFEiDSykKvhl6coVwoEVA0qI+MILwM3jE6iFa/QEt4mQyg/NGQJVvOGX59ltesOOIhjpHfneWUicsIQXxp4HoKDm5hbKV1SeOnl9XjqruQEDdwOTzizCtPQDKKzP8JPNu6ulEttc8c3Ykrm3S6lK6enjrLKTPEid2Vxi2hoGXprJ3Glsa3J8A/Ci6zDDgycUAMkxKxmMUDgFNMCEWBDum7uC0vldLmJdroHDsdsQQeWx43iGLAtA7oiNWB9St6TzhJSAaRlqHvDUJuZFaUbR3gLjJY0QpACQeWTGI+aSv8M4klqEMkxEbJzxvntgEGHFD0QkyX/2kvErWoHLNdtMA8TqUWa4KHtG6cB5LiQY4EBGiACAWbzRBspF0noIvQDQ0BmghcWEByjYmBJGpHS4JqJOv1OtvkQraoGsKgsCO6om304fqLYgvqvnFWMmpWFTB/JH1YXUNUQCRJ3YLyyYYBjDE00Gbio/kVneJAoZE7AhxrewqGTaGZcqFQFdWzgE1UD5kOuUGUGPOQBpb2ylnBgThDMWnjNjarQjVWhviwwvMUsFelpzpiMOvm6fn2skdjlT7GNmi3XL0r5QSSux+Pp3IcW9F99wzn8YNxnhcJ+BeZjWK7URTX8mJOFtsG4zAHnJy/Kxv8Yopalufba9LpniI9YINBpMx8X+9ccY6ZhPcU6bWptZjajbMFoYBAmHhHmiKM+UlIiSgszFQqhZYD4xo07Nlv4mDjw4/mAwewU9t6mDpTG+aKMAKxkQ2PRUcy1CkDU5gUmQEU/2z5oeY2EgTUB0BrmhvAK64HvUAohYYkJCwgyHApAx5lMuHB0aKkDva4RYM50a8KQt+RuY6aDGr0LCQKbi/qYHAqXImVI6y0+bKGqc7PsDujPkKr5hGPsGi/gMRAOcwBabP7uCL3UCaywWLVWDCoC+gaqkcJNAYiRhP0iNyWhJouTgwKs0IQA0hzwTzVmQ9cMjbEROqrXCrcfE6cakXN6bKswhBgFo9Dic2qDG7JyrtIH6G1PEUHzcBjHsJlSQOk92BY5tYZDmxmTAOL5DibYeGLD8bwju8uO+ky0nUDYJEWvBhIvHi4Lqv6BS9Ph4oXfPCUGV5MX1Y+uOyp//9NokBLbqhrWeGkxLfiu2egTUgKWBWi4vwCAIMYwEtBO6qqNGo3I9RoNsoUxaxOkUfzXAcxO7AxUXSYFtaxZh1IpVArWqAHDMLHmHoSna3ozuOQDGNao9Vsu7q4uAgEqGJDZSiVbDyHxc6An49ZCNjSUBSDTEUGdZJs4LTmCq7Iror6QrzkZ/khzEG9kgv0uKEFkAl5OnkcGVulkYtfKIVMlIKTme7ypLJEEhuoDjJC1tl/LZNK1RtVdA+tNEGwZ0ggWapftXNCIv2lcNNlk06SGks0htQKY1iB7Ir/QyMgUdqmnMEFXkhRyDMCLGNqdAZaZySlsIqhD8EBwQ0SqhUiGnk6yevRw3iSZdlCuGJtpqlEBBFJgVGnAPrIj5Q2rYJAMKGhcsdSiCxH1mChB850mAaemHBktRRh5cw7UylL94C6lrUqSmbx+PbAD4q6hWFblk184J2JV9wqPfRbPb69HnXX0o3tUzavO/OLP+9u2Ep4LyunO/ML3iLzN37Evf4jZtqcnDvAMg6PQj6WE57JpbkNVpmQID5Miv0gV2slomYUUNKVlHMJ6FgE5AmDfbMWiX0fmLhyLzZxzzdC9lKV6CrWxhxd5F1cClDaZBqg4lQzjN1okjSDf0i5kpalIDB7QK3aa6ErBBsJmSaCybDTUKv0mOApEme4toiDMcVRLalUjbQiEUPPktmUqKK5K+ukCjGN4QaYkydEQ8FOFXXtzgh1C8Ma6KSb5KO7tEzaAJqIJVuINMCVJOBKbzVGUlXoJQ1ABjHUVkQGjYaP1nHC84Q+ksfQEuQQE3Km1pLE++AhUtQNx2mY5Wpm/MzOWEbEogZqCmW8oc+8OgyoEAimDb0RxVCYBCOC9E7bpMewVMYYiKArdJ1hMySUPGc4uidZ9/kpHzkDwlfq8Msyx4j6luAUP9XdHhKv/Zg0ze7Ef5XzU1a3rGQ7Sha9K/OfYQzB56v+WhPgBY8zFPJC0a0q2+iXMJMT9ZySLlALOzoRBtNykvJTytHOTqXMJ/FYMT0iklmip2lImZrccqpjq0+5CZxsaOjEDkdJbTwPXvCrEdRnDX7MTRYmAUgxNyvBytBP0SwFaBhuppdH1dSi6QtCeUY82BIRKJAWO9gZzH0EAGuP4C8Hd2mPOVEnOTEWPUOH1AJD6YwKADKpEepApTyFGGMkBni3YfvCqcCPcdGUA9joo3ANlFA3iJFA+YfFqi/maBKczCHYq0UiJ9qz1fJ2DZEIAPR0iWKpUqlClCCrDVREhKOJr8fELFA5WzPgFpUcg42DGG3ZZdQCjIhLjF1UR15eBUcihvBeeCWMGK0iBWlPWoXWWRpSqF6KPkivV0YSWTZuwrIYGD61GbVQo2RzeRFHN4wXIw5O2HqXP9+NB4tzUiRzqv8vDNeVec6AhOV1n+Z6ZZnLCNDKDKcp6dTJK1u4MuUFkQ8+GR1wC2hXovfUFb+41OWNEct4UQdRtDUYDhxUdm7mFicSZi3qsApqkmlyKyqviZWBwGemY5PtWrGTKcYXLEtT4BntVcRyDDMPeASub7zvDeQL0IX7EjYoQTzBRulQmBAA63GYGyo5VMmyXV2y6570EU1eO/WhDbQCmRrVmRTRFFEcYE828UTJ+sDIDC3plKXPbtEz8VcO0SB6YfiwOqhz+VYMxYGWUAp7SVCQOi6xBUFfHwZmJ2x9wAI1nvwMkX1Wl5AEJBYqNcyfHokUKIZZZhLZI7jkfw4JWmzuuhiIxUBTkAQubAr2IIGVETJjGInJRDtyKeQiCInwCcN4R1SrSI+sGWBfNgY6iPbG+5YJA8MQb5B4JiQOukTpCHUaZOiR4iGMfpRMEADOMLJ9pR0btfGUh88yFHPEWOomE8seiQEWz8V4Esa3uh+Js3UnvphzW1pMd17MI8vynLI9cZ4zNOwFER4DOy7Nnljk23OL/2UZ7KVl5t0s/ZTZSDxDI0/3yLL0ZbVYemTz2FvMxqSoubgcE04fVRFMrNwA25HM7DcQg5n4fL8OpBinJOIwUgTQwtjA3MR4DqIUa4e9nnYj65qoBIkYhEUjyy9yPwzvHp+QkJ1AHkFoAOs4BTqmEUC01MDY2+VBpBV85EGNUAbmOC2zq6GsoqEbwEayu3CwONEFey4lUWtm00h+TU7AoypADJf2l2YrzFtAEi0zGRYzq+0cxlwCr8X+Qht5TuIAbBniZCIHjPhgOsQCasO0qYFHFUVAB6R5qS+6wwG9ElDVZMAJ0UFUYtk1r4E3IHpHudIuIIrqKZ8kxiVEGzi0ZxtSFJVSpXoMxTGEAqqCPZVGqTIiUSTe4E9VV+mP9vMGR2gkvETczto6DpMkz+olv9DBFNQLfhEMf+VkXZmyrLYXU+yyR2yZZ2hSXCl54vNlhbz4y278AJ5uhJ+ukO5HTplnWYYX08i7ftx5zV+esrAXSKSuGPPL6l325Mq72BqYMfBjAAOYDN9FTFXsjfgn7Bc+yARmqkIjDMzEq4ENPIdVVTwNA4SeuHxoIkqxAhivh9gdjJgpyZxmlsqfALTkb4NTUxqKv0QDOCkBwprX4pmwYSFRdgfmMUARIJjmYFhg5La0DkGEw+gBMEddoBjQPsOhJfpQCA/yFCRG2rdQpDL5Y8HPXc45lMfIRJyrMYoT10ff5AiEpkgzAH5yH4JgPAaGCat92jnS0BegrBOQo2/50F2t+yCFstGvaA3jxnBxydBpSEE80OaGxBaJJyKmlvbh6mHHOClfirTiIEikaS412JKZJCwwKLSNA98w6IcG2Us7AgwYZADKQ8PVDMSsgN3h1CZTLFVBNxXPr8PobvbxU/7aWXvmucsA86zNcwaoq1Uvgr50N+MM9Z7hVlxCd57uef8ioRKXE590FxInxrWspETdeI7vxidxCStP4opoanzOSfflyqdOl2JL+NpPOTf8+YkszBBxw6WDy5UHuxoqlEBzGHMd8wjoymuPfM6bTIBweJFsBIARrYE9G4wvE5OfpjuA4NpgGqg3mkRDsVWaDF54KWFTpj7AqonOsQRRrVvicbFWdjcyBnyYv8kAPTEfxYOtKtZY33ohkpIAHh5QvCPoAM9iwWABwAjDHOLPBq6Cpya9WC5oJDMQ1H3q48/SGJCG9mQehV4YtVwN54SgCzkPBUVEASNQk4HyjX0Po4IiIpD9WxBBlbpIyPQXkV4woXG2DSJkhjqa7TIIGzG0kh7IyGHsEQwdZxJmRC9os6VEZtyEYTprtCjFX6svkgjITsuhU6JmlCyaqfcH/aVxDNuSIYBkMuHB4BXp47wSy7QxD0QXCypfzuaGHYEz/J4ZzwDeYuPM2TQoS3QhxtIZKl12K4ZHnB7DO05ZmSe+tezkdDlfsGHdUF9WJpcrH+/m8/Fde3K6NiwrNs5mUR1fLs+2OF9OJC9N8xMpN/6p5n/3sTJP913OAwdA0y/WYLLVm5RknJcwcSDPdAqYzJpAQqQ0ACRT+JAmMWCRxdIl5ol05A5ipYOkh2hMbsIX6qw1QJS1XFHExWXvc9beE0mkyOuOV29K+YfjYj/kf5CI2YN4TCk2UDSzC53AADy0kYEwJzwYEXpRTuFZmiE+eqLXQhhoUaCD0SMWQ6r1tBR3IdUAmlBiTkQgZLPkWCxEFFKtQRwQyWNkGBr8JiYYk60YoCkAGwmCOsmn6kRw+IVmMFqqgNI44eAm++tKgkcQY32aOUjE4ih1h4JkOjEPIUoZNQT6gnOIPIYAKtJBshIGS8iwyAgvQ+TKKF/szimDg0rlhrQbKI2UItFcjaQsr8R10RW1VstskQplomCaQESIlzQtOu1PjOfT5YgzxFP/dDlPl3666X66/Db9DE/FLbF02uaPE7k8M8LPUC/4tPPs2+PeZyiZW91Atfy8O+XMz9q7Z86vl840Qfo1J/Z88cGlW/aSX5sHZZZZysaO4nlAEcmd6S/J185vaQbShyV/sCIX5xjIBTq6GzotIhmEQsmpSoJ3iQOz9QCrg8CGClzki1AcFi+mJZYrFqrDNpLNeo0ccuUzeT27uxHGTeFNuKJZvAtgpwtTkrQICdJwc6QZiz0y02X6w7SnjVwCA+kR9FAakuH7msJa7kVPlF8zi1r0okEgh+JAdebxCWyCChFLsLYSeQHto0qxbrORHbmoxLROJgzQyBWcXJUa4JrBpTwj54uigm24vRGxFqmYYMmhzhlRR/SRXgFsaS4aMZkHKdbEffA+ONNyKRpMS5BDjOhBBqgWyfheKQ3Hjmg1ZUtW0lJLDQnLXrgnMuE0pOcxaESGMNQi2SZcwrAbNefURzeiTp3jVKlnwC3Zl17IqZ5ckfaCDbD4P2W2UyZSQzczt039lppECSs7iLjOscjbmSVLJBe4xud68AXGW4VwvMhsNvOy3xj5y9LtZffd7nPuLrskheVLGM+5Y3uDFI3TzuBHMcuox5gZ2C6X+QvxMEBgraZs4myeLC2WRX+wVL6pnRELk0MRUqLVnFKScRAgtCOoC4ZyyxEogQYhCVoEJWQBR4co6hb56ixkZGojjmA9wkQv9x8oEGMGLcgVNBVODXi4L3gqDFh8n5KhICQo3FsfzaBCYKE91AzFkNwj9HUgY2KaGiMJPWoDTFsYBaQGt1AAtpXQCOhrmiCKngrIYJPqATA6BaKBnuIxiqEVhiyQjaaCQdMQFCWlon7RcnLpUTXUXhoKKnpIBWSn7kWizYCJ7kCWoKLMqAg3je2xOkA8pNqo1oqC000ykplOckn7kRT0eWEWtjLmoiIQHqo2gwN5J/Ad8Y4MCsNmw+60kWJo3gsfK5EAllYmvnBBJkf84Omg+yLLsdlsIXGZZ372dCTgxTx+ZrgirnPEo9mdufv8dM1bCcvT5fz20k/ZBqbeKdPjKgIM4Mio1h4mMzl3jNRORA/ChFAEuLBICIJSLZlwYFiu9Zac8AqMk5uQOah1E7DQFB/QJLaP5QAYEjxMCWDTJ3aIfRzSKSKOjWat9YNVYqK0ZBNFOGxqWhuXpmQRQUJCunZrFmCEUMMWaRxYoE9WimaG6tMu+g+zHCs1NGfpL6AzcozpumRnKAwvTnfVcfuIQbhgZqErSqL9D0UEBM2wJTLHQinxXnQtqQMNNpV3kwRH0nEwbwHPcMizYJQLlp4BOck7lGCMk9RMK2gfLUZP4Cl1DMEHcUkqDUYGtQkyatyr+CCWXCra+oH3wXMSm0w7UU8gxQygLJcULPqgexQrkUMkQo0nXboM2fglt7QZOk3udkOLP9pJqDUExFpoNSKnOWLMWATqVVAToyvCeNJhb8VJ/39gH1cal/avdbKs5DMD49urlNEXA7Fz6Nsr4lt/6tvrSPdTp6RNTE9mrJBjQhng78xyVinBX0llgpuPIOlrjsY6x1RTwCNfljc2PIoX9YiCFFGDcssTOATzkmIh9i82B5cjGIJi0+ks8xsAi7QwgOy4iJ0O74ekYMvMJSGgp/AIkj+hAdrJXvNd1AgeLs5oJj+jR/gy/8xcNeTD5JBBAE+KNjUCHmLddpxh0NAnEKrHOWSwUBCn/onDgxzDYyXY6w695x+ZKd/FqodIYA7yEyIJ2vhyNQcNVEv0gDLzV8BkW31TLU3QLVM4d0mETKgYMhOXqNgDZSDbUn6JWqblGhZoobbPMSjkTYB56tIKqzYGIL3KJkSXLolCaJtcaCtimPot/xKqB3RB/ZKfBVlJkU+oKi5fIW1icBUB9dlrQ6Nx+gOE2382S/f5sofinJzc/WOiRctxaFJs+pl/l5V85ku68W3/O3PJ3L3zp/WPsbb/us/jxGUnPGVTXrDw02X4NrpzuqK605e1c9lld874/P8DsLoE6hz0uJUAAAAASUVORK5CYII=",
- "text/plain": [
- ""
- ]
- },
- "execution_count": 41,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "file = os.path.join(b.utils.get_assets_dir(),\"tutorial_mug_image.pkl\")\n",
- "all_data = pickle.load(open(file, \"rb\"))\n",
- "IDX = 0\n",
- "data = all_data[IDX]\n",
- "print(data[\"camera_image\"].keys())\n",
- "K = data[\"camera_image\"]['camera_matrix'][0]\n",
- "rgb = data[\"camera_image\"]['rgbPixels']\n",
- "depth = data[\"camera_image\"]['depthPixels']\n",
- "camera_pose = data[\"camera_image\"]['camera_pose']\n",
- "camera_pose = b.t3d.pybullet_pose_to_transform(camera_pose)\n",
- "fx, fy, cx, cy = K[0,0],K[1,1],K[0,2],K[1,2]\n",
- "h,w = depth.shape\n",
- "near = 0.001\n",
- "rgbd_original = b.RGBD(rgb, depth, camera_pose, b.Intrinsics(h,w,fx,fy,cx,cy,0.001,10.0))\n",
- "scaling_factor = 0.2\n",
- "rgbd_scaled_down = b.RGBD.scale_rgbd(rgbd_original, scaling_factor)\n",
- "b.hstack_images([b.get_rgb_image(rgbd_scaled_down.rgb), b.get_depth_image(rgbd_scaled_down.depth,max_val=2.5)])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 42,
- "id": "432c5da8-eb91-408f-b2e4-501eef3cc221",
- "metadata": {},
- "outputs": [],
- "source": [
- "table_pose, plane_dims = b.utils.infer_table_plane(\n",
- " b.unproject_depth(rgbd_scaled_down.depth, rgbd_scaled_down.intrinsics),\n",
- " jnp.eye(4), rgbd_scaled_down.intrinsics, \n",
- " ransac_threshold=0.001, inlier_threshold=0.005, segmentation_threshold=0.2\n",
- ")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 9,
- "id": "52b57c87",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "FrameHandle(_impl=_SceneNodeHandleState(name='/table', api=, wxyz=array([-0.3109156 , -0.40532318, 0.71136296, -0.48178506], dtype=float32), position=array([0.13536738, 0.06300807, 0.7492305 ], dtype=float32), visible=True, click_cb=None))"
- ]
- },
- "execution_count": 9,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "server.add_point_cloud(\n",
- " \"/cloud\",\n",
- " points=np.array(b.unproject_depth(rgbd_scaled_down.depth, rgbd_scaled_down.intrinsics).reshape(-1,3)),\n",
- " colors=np.array(rgbd_scaled_down.rgb.reshape(-1,3)),\n",
- " point_size=0.01\n",
- ")\n",
- "server.add_frame(\n",
- " \"/table\",\n",
- " position=np.array(table_pose[:3,3]),\n",
- " wxyz=b.rotation_matrix_to_quaternion(table_pose[:3,:3]),\n",
- " axes_length=0.2,\n",
- " axes_radius=0.005\n",
- ")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 25,
- "id": "89d55282-eb41-4c8e-97fe-1b9528f52481",
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Increasing frame buffer size to (width, height, depth) = (192, 96, 1024)\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "[E rasterize_gl.cpp:121] OpenGL version reported as 4.6\n"
- ]
- }
- ],
- "source": [
- "b.setup_renderer(rgbd_scaled_down.intrinsics)\n",
- "model_dir = os.path.join(b.utils.get_assets_dir(),\"bop/ycbv/models\")\n",
- "mesh_path = os.path.join(model_dir,\"obj_\" + \"{}\".format(13+1).rjust(6, '0') + \".ply\")\n",
- "b.RENDERER.add_mesh_from_file(mesh_path, scaling_factor=1.0/1000.0)\n",
- "b.RENDERER.add_mesh_from_file(os.path.join(b.utils.get_assets_dir(), \"sample_objs/cube.obj\"), scaling_factor=jnp.array([0.5,0.5,0.001]))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 26,
- "metadata": {},
- "outputs": [],
- "source": [
- "width = 0.03\n",
- "ang = jnp.pi\n",
- "num_position_grids = 51\n",
- "num_angle_grids = 51\n",
- "contact_param_deltas = b.utils.make_translation_grid_enumeration_3d(\n",
- " -width, -width, -ang,\n",
- " width, width, ang,\n",
- " num_position_grids,num_position_grids,num_angle_grids\n",
- ")\n",
- "\n",
- "grid_params = [\n",
- " (0.5, jnp.pi, (15,15,15)), (0.2, jnp.pi, (15,15,15)), (0.1, jnp.pi, (15,15,15)),\n",
- " (0.05, jnp.pi/3, (15,15,15)),\n",
- " (0.02, jnp.pi, (9,9,51))\n",
- " , (0.01, jnp.pi/5, (15,15,15)),\n",
- " (0.01, 0.0, (31,31,1)),(0.05, 0.0, (31,31,1))\n",
- "]\n",
- "contact_param_gridding_schedule = [\n",
- " b.utils.make_translation_grid_enumeration_3d(\n",
- " -x, -x, -ang,\n",
- " x, x, ang,\n",
- " *nums\n",
- " )\n",
- " for (x,ang,nums) in grid_params\n",
- "]\n",
- "\n",
- "OBJECT_NUMBER = 1\n",
- "address = f\"contact_params_{OBJECT_NUMBER}\"\n",
- "enumerators = b.genjax.make_enumerator([address])\n",
- "\n",
- "def c2f_(potential_trace, contact_param_gridding_schedule):\n",
- " cp = potential_trace[address]\n",
- " for cp_grid in contact_param_gridding_schedule:\n",
- " cps = cp + cp_grid\n",
- " scores = enumerators.enumerate_choices_get_scores(potential_trace, key, cps)\n",
- " cp = cps[scores.argmax()]\n",
- " potential_trace = enumerators.update_choices(potential_trace, key, cp)\n",
- " return potential_trace, scores.argmax()\n",
- "c2f = jax.jit(c2f_)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 49,
- "id": "5a628704",
- "metadata": {},
- "outputs": [],
- "source": [
- "def viz_trace_viser(server, trace, colors=None):\n",
- " indices = b.genjax.get_indices(trace)\n",
- " poses = b.genjax.get_poses(trace)\n",
- " for i in range(len(poses)):\n",
- " mesh = b.RENDERER.meshes[indices[i]]\n",
- " server.add_mesh_trimesh(\n",
- " name=f\"/trimesh/{i}\",\n",
- " mesh=trimesh.Trimesh(mesh.vertices, mesh.faces),\n",
- " position=np.array(poses[i][:3,3]),\n",
- " wxyz=b.rotation_matrix_to_quaternion(poses[i][:3,:3]),\n",
- " )\n",
- " server.add_point_cloud(\n",
- " \"/observed_cloud\",\n",
- " points=np.array(trace[\"image\"].reshape(-1,3)),\n",
- " colors=np.array([0.0, 0.0, 0.0]),\n",
- " point_size=0.005\n",
- " )\n",
- " server.add_point_cloud(\n",
- " \"/rendered_cloud\",\n",
- " points=np.array(b.genjax.get_rendered_image(trace).reshape(-1,3)),\n",
- " colors=np.array([1.0, 0.0, 0.0]),\n",
- " point_size=0.005\n",
- " )"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 57,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "-54.53688\n"
- ]
- }
- ],
- "source": [
- "key = jax.random.split(key)[0]\n",
- "obs_img = b.unproject_depth_jit(rgbd_scaled_down.depth, rgbd_scaled_down.intrinsics)\n",
- "trace, weight = importance_jit(key, genjax.choice_map({\n",
- " \"parent_0\": -1,\n",
- " \"parent_1\": 0,\n",
- " \"id_0\": jnp.int32(1),\n",
- " \"id_1\": jnp.int32(0),\n",
- " \"camera_pose\": jnp.eye(4),\n",
- " \"root_pose_0\": table_pose,\n",
- " \"face_parent_1\": 2,\n",
- " \"face_child_1\": 3,\n",
- " \"image\": obs_img,\n",
- " \"variance\": 0.03,\n",
- " \"outlier_prob\": 0.0001,\n",
- "}), (\n",
- " jnp.arange(2),\n",
- " jnp.arange(22),\n",
- " jnp.array([-jnp.ones(3)*100.0, jnp.ones(3)*100.0]),\n",
- " jnp.array([jnp.array([-0.3, -0.3, -22*jnp.pi]), jnp.array([0.3, 0.3, 22*jnp.pi])]),\n",
- " b.RENDERER.model_box_dims)\n",
- ")\n",
- "print(trace.get_score())\n",
- "viz_trace_viser(server, trace)\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 58,
- "id": "9170b633",
- "metadata": {},
- "outputs": [],
- "source": [
- "potential_trace = trace\n",
- "import time\n",
- "cp = potential_trace[address]\n",
- "for cp_grid in contact_param_gridding_schedule:\n",
- " cps = cp + cp_grid\n",
- " scores = enumerators.enumerate_choices_get_scores(potential_trace, key, cps)\n",
- " cp = cps[scores.argmax()]\n",
- " potential_trace = enumerators.update_choices(potential_trace, key, cp)\n",
- "viz_trace_viser(server, potential_trace)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "1dd46342",
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "8c4398d2",
- "metadata": {},
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3 (ipykernel)",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.11.7"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/scripts/experiments/slam/slam_with_room_obj.ipynb b/scripts/experiments/slam/slam_with_room_obj.ipynb
index ed10b320..5f1e5ce2 100644
--- a/scripts/experiments/slam/slam_with_room_obj.ipynb
+++ b/scripts/experiments/slam/slam_with_room_obj.ipynb
@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
@@ -25,7 +25,7 @@
"output_type": "stream",
"text": [
"You can open the visualizer by visiting the following URL:\n",
- "http://127.0.0.1:7001/static/\n"
+ "http://127.0.0.1:7050/static/\n"
]
}
],
@@ -35,17 +35,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "import viser\n",
- "server = viser.ViserServer()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
+ "execution_count": 63,
"metadata": {},
"outputs": [],
"source": [
@@ -63,7 +53,7 @@
},
{
"cell_type": "code",
- "execution_count": 21,
+ "execution_count": 64,
"metadata": {},
"outputs": [
{
@@ -108,30 +98,7 @@
},
{
"cell_type": "code",
- "execution_count": 22,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "GlbHandle(_impl=_SceneNodeHandleState(name='/trimesh', api=, wxyz=array([1., 0., 0., 0.]), position=array([0., 0., 0.]), visible=True, click_cb=None))"
- ]
- },
- "execution_count": 22,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "server.add_mesh_trimesh(\n",
- " name=\"/trimesh\",\n",
- " mesh=mesh,\n",
- ")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 23,
+ "execution_count": 65,
"metadata": {},
"outputs": [],
"source": [
@@ -155,7 +122,7 @@
},
{
"cell_type": "code",
- "execution_count": 24,
+ "execution_count": 66,
"metadata": {},
"outputs": [],
"source": [
@@ -167,7 +134,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 67,
"metadata": {},
"outputs": [],
"source": [
@@ -176,7 +143,7 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 69,
"metadata": {},
"outputs": [],
"source": [
@@ -190,11 +157,11 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 70,
"metadata": {},
"outputs": [],
"source": [
- "b.clear_visualizer()\n",
+ "b.clear()\n",
"b.show_pose(\"actual\", camera_poses[1])\n",
"tr,q = b.pose_matrix_to_translation_and_quaternion(camera_poses[0])\n",
"b.show_pose(\"inferred\", b.translation_and_quaternion_to_pose_matrix(tr,q), size=0.1)"
@@ -202,21 +169,21 @@
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 71,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "start (Array(0.48633558, dtype=float32), (Array([-0.01954 , 0.06823303, -0.45479128], dtype=float32), Array([ 0. , 1.025517 , -0.06746437, -0.06139864], dtype=float32)))\n"
+ "start (Array(0.48633558, dtype=float32), (Array([-0.01954 , 0.06823298, -0.4547913 ], dtype=float32), Array([ 0. , 1.0255171 , -0.06746437, -0.06139849], dtype=float32)))\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
- "0.11390623450279236: 100%|██████████| 200/200 [00:00<00:00, 366.14it/s] \n"
+ "0.6546157002449036: 100%|██████████| 200/200 [00:00<00:00, 387.57it/s] \n"
]
}
],
@@ -243,79 +210,72 @@
},
{
"cell_type": "code",
- "execution_count": 14,
+ "execution_count": 89,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
- " 0%| | 0/53 [00:00, ?it/s]"
- ]
- },
- {
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- "output_type": "stream",
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+ "100%|██████████| 53/53 [00:12<00:00, 4.30it/s]\n"
]
}
],
"source": [
- "b.clear_visualizer()\n",
+ "b.clear()\n",
"b.show_pose(\"actual\", camera_poses[1])\n",
"tr,q = b.pose_matrix_to_translation_and_quaternion(camera_poses[0])\n",
"b.show_pose(\"inferred\", b.translation_and_quaternion_to_pose_matrix(tr,q), size=0.1)\n",
@@ -336,24 +296,24 @@
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 90,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
- "100%|██████████| 53/53 [00:13<00:00, 3.98it/s]\n"
+ "100%|██████████| 53/53 [00:11<00:00, 4.48it/s]\n"
]
},
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
""
]
},
- "execution_count": 15,
+ "execution_count": 90,
"metadata": {},
"output_type": "execute_result"
}
@@ -397,7 +357,7 @@
},
{
"cell_type": "code",
- "execution_count": 16,
+ "execution_count": 91,
"metadata": {},
"outputs": [
{
@@ -422,9 +382,9 @@
"Stream mapping:\n",
" Stream #0:0 -> #0:0 (png (native) -> h264 (libx264))\n",
"Press [q] to stop, [?] for help\n",
- "[libx264 @ 0x564a196c9700] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2 AVX512\n",
- "[libx264 @ 0x564a196c9700] profile High 4:4:4 Predictive, level 3.2, 4:4:4, 8-bit\n",
- "[libx264 @ 0x564a196c9700] 264 - core 160 r3011 cde9a93 - H.264/MPEG-4 AVC codec - Copyleft 2003-2020 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=4 threads=12 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=3 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00\n",
+ "[libx264 @ 0x555a26780740] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2 AVX512\n",
+ "[libx264 @ 0x555a26780740] profile High 4:4:4 Predictive, level 3.2, 4:4:4, 8-bit\n",
+ "[libx264 @ 0x555a26780740] 264 - core 160 r3011 cde9a93 - H.264/MPEG-4 AVC codec - Copyleft 2003-2020 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=4 threads=12 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=3 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00\n",
"Output #0, mp4, to 'localization_with_gradients.mp4':\n",
" Metadata:\n",
" encoder : Lavf58.45.100\n",
@@ -433,24 +393,24 @@
" encoder : Lavc58.91.100 libx264\n",
" Side data:\n",
" cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A\n",
- "frame= 53 fps=0.0 q=-1.0 Lsize= 259kB time=00:00:16.66 bitrate= 127.1kbits/s speed=19.6x \n",
- "video:257kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.484197%\n",
- "[libx264 @ 0x564a196c9700] frame I:1 Avg QP:12.64 size: 42550\n",
- "[libx264 @ 0x564a196c9700] frame P:38 Avg QP:12.79 size: 3663\n",
- "[libx264 @ 0x564a196c9700] frame B:14 Avg QP:16.70 size: 5792\n",
- "[libx264 @ 0x564a196c9700] consecutive B-frames: 54.7% 22.6% 22.6% 0.0%\n",
- "[libx264 @ 0x564a196c9700] mb I I16..4: 34.1% 43.3% 22.6%\n",
- "[libx264 @ 0x564a196c9700] mb P I16..4: 11.2% 5.6% 1.1% P16..4: 2.0% 1.3% 0.4% 0.0% 0.0% skip:78.4%\n",
- "[libx264 @ 0x564a196c9700] mb B I16..4: 4.0% 2.0% 1.2% B16..8: 4.1% 1.8% 0.9% direct: 3.7% skip:82.3% L0:53.3% L1:34.9% BI:11.8%\n",
- "[libx264 @ 0x564a196c9700] 8x8 transform intra:32.2% inter:69.4%\n",
- "[libx264 @ 0x564a196c9700] coded y,u,v intra: 6.7% 6.6% 6.5% inter: 1.2% 1.9% 2.4%\n",
- "[libx264 @ 0x564a196c9700] i16 v,h,dc,p: 85% 13% 1% 1%\n",
- "[libx264 @ 0x564a196c9700] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 65% 10% 22% 0% 0% 0% 0% 0% 0%\n",
- "[libx264 @ 0x564a196c9700] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 48% 26% 16% 2% 2% 2% 2% 1% 1%\n",
- "[libx264 @ 0x564a196c9700] Weighted P-Frames: Y:0.0% UV:0.0%\n",
- "[libx264 @ 0x564a196c9700] ref P L0: 64.9% 6.9% 17.6% 10.6%\n",
- "[libx264 @ 0x564a196c9700] ref B L0: 77.7% 19.2% 3.2%\n",
- "[libx264 @ 0x564a196c9700] kb/s:119.02\n"
+ "frame= 53 fps=0.0 q=-1.0 Lsize= 258kB time=00:00:16.66 bitrate= 126.7kbits/s speed=19.3x \n",
+ "video:257kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.479635%\n",
+ "[libx264 @ 0x555a26780740] frame I:1 Avg QP:12.62 size: 42569\n",
+ "[libx264 @ 0x555a26780740] frame P:40 Avg QP:12.86 size: 3571\n",
+ "[libx264 @ 0x555a26780740] frame B:12 Avg QP:15.89 size: 6382\n",
+ "[libx264 @ 0x555a26780740] consecutive B-frames: 60.4% 22.6% 17.0% 0.0%\n",
+ "[libx264 @ 0x555a26780740] mb I I16..4: 34.1% 43.3% 22.6%\n",
+ "[libx264 @ 0x555a26780740] mb P I16..4: 11.2% 5.2% 1.1% P16..4: 2.0% 1.4% 0.4% 0.0% 0.0% skip:78.7%\n",
+ "[libx264 @ 0x555a26780740] mb B I16..4: 3.8% 1.8% 1.4% B16..8: 4.0% 1.8% 1.1% direct: 4.2% skip:81.9% L0:52.4% L1:34.6% BI:13.0%\n",
+ "[libx264 @ 0x555a26780740] 8x8 transform intra:31.0% inter:68.5%\n",
+ "[libx264 @ 0x555a26780740] coded y,u,v intra: 6.6% 6.5% 6.3% inter: 1.3% 1.9% 2.3%\n",
+ "[libx264 @ 0x555a26780740] i16 v,h,dc,p: 85% 13% 1% 1%\n",
+ "[libx264 @ 0x555a26780740] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 64% 11% 23% 0% 0% 0% 0% 0% 0%\n",
+ "[libx264 @ 0x555a26780740] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 49% 26% 16% 2% 2% 2% 2% 1% 1%\n",
+ "[libx264 @ 0x555a26780740] Weighted P-Frames: Y:0.0% UV:0.0%\n",
+ "[libx264 @ 0x555a26780740] ref P L0: 64.5% 6.9% 18.1% 10.5%\n",
+ "[libx264 @ 0x555a26780740] ref B L0: 78.6% 19.1% 2.3%\n",
+ "[libx264 @ 0x555a26780740] kb/s:118.65\n"
]
},
{
@@ -459,7 +419,7 @@
"0"
]
},
- "execution_count": 16,
+ "execution_count": 91,
"metadata": {},
"output_type": "execute_result"
}
@@ -475,55 +435,11 @@
},
{
"cell_type": "code",
- "execution_count": 19,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "╭─────────────── viser ───────────────╮\n",
- "│ ╷ │\n",
- "│ HTTP │ http://0.0.0.0:8081 │\n",
- "│ Websocket │ ws://0.0.0.0:8081 │\n",
- "│ ╵ │\n",
- "╰─────────────────────────────────────╯\n",
- "
\n"
- ],
- "text/plain": [
- "╭─────────────── \u001b[1mviser\u001b[0m ───────────────╮\n",
- "│ ╷ │\n",
- "│ HTTP │ http://0.0.0.0:8081 │\n",
- "│ Websocket │ ws://0.0.0.0:8081 │\n",
- "│ ╵ │\n",
- "╰─────────────────────────────────────╯\n"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "text/html": [
- "(viser) Connection opened (0, 1 total), 3 persistent messages\n",
- "
\n"
- ],
- "text/plain": [
- "\u001b[1m(\u001b[0m\u001b[1mviser\u001b[0m\u001b[1m)\u001b[0m Connection opened \u001b[1m(\u001b[0m\u001b[1;36m0\u001b[0m, \u001b[1;36m1\u001b[0m total\u001b[1m)\u001b[0m, \u001b[1;36m3\u001b[0m persistent messages\n"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
+ "execution_count": 94,
"metadata": {},
"outputs": [],
"source": [
- "server.add_tr"
+ "VISUALIZER = b.get_visualizer()"
]
},
{
@@ -552,9 +468,7 @@
"execution_count": null,
"metadata": {},
"outputs": [],
- "source": [
- " "
- ]
+ "source": []
}
],
"metadata": {
@@ -573,7 +487,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.11.7"
+ "version": "3.9.18"
}
},
"nbformat": 4,