diff --git a/00_aoi_caching_simulation/.aoi_cache/lambda_distribution.pdf b/00_aoi_caching_simulation/.aoi_cache/lambda_distribution.pdf
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index 0000000..8e8500d
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diff --git a/00_aoi_caching_simulation/.aoi_cache/lambda_vs_access_count.pdf b/00_aoi_caching_simulation/.aoi_cache/lambda_vs_access_count.pdf
new file mode 100644
index 0000000..4a725ab
Binary files /dev/null and b/00_aoi_caching_simulation/.aoi_cache/lambda_vs_access_count.pdf differ
diff --git a/00_aoi_caching_simulation/.aoi_cache/objects_in_cache_over_time.pdf b/00_aoi_caching_simulation/.aoi_cache/objects_in_cache_over_time.pdf
new file mode 100644
index 0000000..1fc0070
Binary files /dev/null and b/00_aoi_caching_simulation/.aoi_cache/objects_in_cache_over_time.pdf differ
diff --git a/00_aoi_caching_simulation/aoi_cache_simulation.ipynb b/00_aoi_caching_simulation/aoi_cache_simulation.ipynb
index 7313a0c..c2f0fd8 100644
--- a/00_aoi_caching_simulation/aoi_cache_simulation.ipynb
+++ b/00_aoi_caching_simulation/aoi_cache_simulation.ipynb
@@ -25,7 +25,7 @@
"# Constants\n",
"SEED = 42\n",
"DATABASE_OBJECTS = 100 # Number of objects in the database\n",
- "ACCESS_COUNT_LIMIT = 1000 # Total time to run the simulation\n",
+ "ACCESS_COUNT_LIMIT = 2000 # Total time to run the simulation\n",
"EXPERIMENT_BASE_DIR = \"./experiments/\"\n",
"TEMP_BASE_DIR = \"./.aoi_cache/\"\n",
"\n",
@@ -101,7 +101,7 @@
" \"No Refresh (5.0s ttl)\": (DATABASE_OBJECTS, 0, CacheType.LRU, 5),\n",
"}\n",
"\n",
- "experiment_name = \"No Refresh (1.0s ttl)\"\n",
+ "experiment_name = \"No Refresh (5.0s ttl)\"\n",
"config = configurations[experiment_name]\n",
"\n",
"CACHE_CAPACITY = config[0]\n",
@@ -149,7 +149,7 @@
" self.db = db\n",
" self.storage = {} # Dictionary to store cached objects\n",
" self.ttl = {} # Dictionary to store TTLs\n",
- " self.age = {} # Dictionary to store age of each object\n",
+ " self.initial_fetch = {} # Dictionary to store when an object was fetched from the databse to determine the age\n",
" self.cache_size_over_time = [] # To record cache state at each interval\n",
" self.cache_next_request_over_time = []\n",
" self.request_log = {i: [] for i in range(1, DATABASE_OBJECTS + 1)}\n",
@@ -166,18 +166,18 @@
" (self.ttl[obj_id] > env.now or CACHE_TTL == 0):\n",
" # Cache hit: increment hit count and update cumulative age\n",
" self.hits[obj_id] += 1\n",
- " self.cumulative_age[obj_id] += self.age[obj_id]\n",
+ " self.cumulative_age[obj_id] += (env.now - self.initial_fetch[obj_id])\n",
" self.access_count[obj_id] += 1\n",
" else:\n",
" # Cache miss: increment miss count\n",
" self.misses[obj_id] += 1\n",
" self.cumulative_age[obj_id] += 0\n",
" self.access_count[obj_id] += 1\n",
- " self.age[obj_id] = 0\n",
+ " self.initial_fetch[obj_id] = env.now\n",
+ " self.object_start_time[obj_id] = env.now\n",
" \n",
" # Fetch the object from the database if it’s not in cache\n",
" obj = self.db.get_object(obj_id)\n",
- " self.object_start_time[obj_id] = env.now\n",
" \n",
" # If the cache is full, evict the oldest object\n",
" if len(self.storage) > CACHE_CAPACITY:\n",
@@ -198,11 +198,11 @@
" \n",
" def evict_oldest(self):\n",
" \"\"\"Remove the oldest item from the cache to make space.\"\"\"\n",
- " oldest_id = max(self.age, key=self.age.get) # Find the oldest item by age\n",
+ " oldest_id = min(self.initial_fetch, key=self.initial_fetch.get) # Find the oldest item by age\n",
" print(f\"[{env.now:.2f}] Cache: Evicting oldest object {oldest_id} to make space at {self.ttl[oldest_id]:.2f}\")\n",
" del self.storage[oldest_id]\n",
" del self.ttl[oldest_id]\n",
- " del self.age[oldest_id]\n",
+ " del self.initial_fetch[oldest_id]\n",
"\n",
" def evict_random(self):\n",
" \"\"\"Remove a random item from the cache to make space.\"\"\"\n",
@@ -210,7 +210,7 @@
" print(f\"[{env.now:.2f}] Cache: Evicting random object {random_id} to make space at {self.ttl[random_id]:.2f}\")\n",
" del self.storage[random_id]\n",
" del self.ttl[random_id]\n",
- " del self.age[random_id]\n",
+ " del self.initial_fetch[random_id]\n",
" \n",
" def refresh_object(self, obj_id):\n",
" \"\"\"Refresh the object from the database to keep it up-to-date. TTL is increased on refresh.\"\"\"\n",
@@ -220,21 +220,20 @@
" self.ttl[obj_id] = env.now + CACHE_TTL\n",
" else:\n",
" self.ttl[obj_id] = 0\n",
- " self.age[obj_id] = 0\n",
+ " self.initial_fetch[obj_id] = env.now\n",
" # print(f\"[{env.now:.2f}] Cache: Refreshed object {obj_id}\")\n",
" \n",
- " def age_objects(self):\n",
+ " def check_expired(self):\n",
" \"\"\"Increment age of each cached object.\"\"\"\n",
- " for obj_id in list(self.age.keys()):\n",
- " self.age[obj_id] += 1\n",
- " # print(f\"[{env.now:.2f}] Cache: Object {obj_id} aged to {self.age[obj_id]}\")\n",
+ " for obj_id in list(self.ttl.keys()):\n",
+ " # print(f\"[{env.now:.2f}] Cache: Object {obj_id} aged to {env.now-self.initial_fetch[obj_id]}\")\n",
" if CACHE_TTL != 0 and self.ttl[obj_id] <= env.now:\n",
" # Remove object if its TTL expired\n",
" # print(f\"[{env.now:.2f}] Cache: Object {obj_id} expired\")\n",
" self.cumulative_cache_time[obj_id] += (env.now - self.object_start_time[obj_id])\n",
" del self.storage[obj_id]\n",
" del self.ttl[obj_id]\n",
- " del self.age[obj_id]\n",
+ " del self.initial_fetch[obj_id]\n",
" del self.object_start_time[obj_id]\n",
"\n",
" \n",
@@ -253,9 +252,9 @@
"source": [
"def age_cache_process(env, cache):\n",
" \"\"\"Process that ages cache objects over time, removes expired items, and refreshes based on object-specific intervals.\"\"\"\n",
+ " last_full_second = 0\n",
" while True:\n",
- " cache.age_objects() # Age objects and remove expired ones\n",
- "\n",
+ " cache.check_expired() # Age objects and remove expired ones\n",
"\n",
" if MAX_REFRESH_RATE != 0:\n",
" # Refresh objects based on their individual refresh intervals\n",
@@ -267,7 +266,7 @@
" cache.next_refresh[obj_id] = env.now + np.random.exponential(1/cache.db.mu_values[obj_id])\n",
" \n",
" cache.record_cache_state() # Record cache state at each time step\n",
- " yield env.timeout(1) # Run every second"
+ " yield env.timeout(0.05) # Run every second"
]
},
{
@@ -331,16 +330,16 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "Progress: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊| 999/1000 [00:10<00:00, 91.29it/s]"
+ "Progress: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉| 1999/2000 [00:10<00:00, 183.69it/s]"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
- "1056.5430396768973\n",
- "CPU times: user 10.2 s, sys: 1.05 s, total: 11.3 s\n",
- "Wall time: 11 s\n"
+ "2114.009548152859\n",
+ "CPU times: user 9.85 s, sys: 1.31 s, total: 11.2 s\n",
+ "Wall time: 10.9 s\n"
]
}
],
@@ -366,106 +365,106 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "Object 1: Hit Rate = 0.48, Average Time spend in Cache: 0.44,Average Age = 0.25, Exprected Age = 0.12\n",
- "Object 2: Hit Rate = 0.75, Average Time spend in Cache: 0.32,Average Age = 0.37, Exprected Age = 0.28\n",
- "Object 3: Hit Rate = 0.49, Average Time spend in Cache: 0.45,Average Age = 0.27, Exprected Age = 0.12\n",
- "Object 4: Hit Rate = 0.51, Average Time spend in Cache: 0.44,Average Age = 0.26, Exprected Age = 0.13\n",
- "Object 5: Hit Rate = 0.66, Average Time spend in Cache: 0.38,Average Age = 0.32, Exprected Age = 0.22\n",
- "Object 6: Hit Rate = 0.50, Average Time spend in Cache: 0.44,Average Age = 0.25, Exprected Age = 0.12\n",
- "Object 7: Hit Rate = 0.83, Average Time spend in Cache: 0.21,Average Age = 0.42, Exprected Age = 0.35\n",
- "Object 8: Hit Rate = 0.51, Average Time spend in Cache: 0.45,Average Age = 0.24, Exprected Age = 0.13\n",
- "Object 9: Hit Rate = 0.51, Average Time spend in Cache: 0.44,Average Age = 0.25, Exprected Age = 0.13\n",
- "Object 10: Hit Rate = 0.51, Average Time spend in Cache: 0.44,Average Age = 0.26, Exprected Age = 0.13\n",
- "Object 11: Hit Rate = 0.67, Average Time spend in Cache: 0.39,Average Age = 0.33, Exprected Age = 0.23\n",
- "Object 12: Hit Rate = 0.52, Average Time spend in Cache: 0.44,Average Age = 0.25, Exprected Age = 0.13\n",
- "Object 13: Hit Rate = 0.52, Average Time spend in Cache: 0.47,Average Age = 0.26, Exprected Age = 0.14\n",
- "Object 14: Hit Rate = 0.48, Average Time spend in Cache: 0.44,Average Age = 0.24, Exprected Age = 0.11\n",
- "Object 15: Hit Rate = 0.66, Average Time spend in Cache: 0.38,Average Age = 0.32, Exprected Age = 0.22\n",
- "Object 16: Hit Rate = 0.67, Average Time spend in Cache: 0.38,Average Age = 0.33, Exprected Age = 0.23\n",
- "Object 17: Hit Rate = 0.51, Average Time spend in Cache: 0.46,Average Age = 0.25, Exprected Age = 0.13\n",
- "Object 18: Hit Rate = 0.50, Average Time spend in Cache: 0.46,Average Age = 0.25, Exprected Age = 0.12\n",
- "Object 19: Hit Rate = 0.74, Average Time spend in Cache: 0.31,Average Age = 0.37, Exprected Age = 0.28\n",
- "Object 20: Hit Rate = 0.50, Average Time spend in Cache: 0.46,Average Age = 0.24, Exprected Age = 0.13\n",
- "Object 21: Hit Rate = 0.51, Average Time spend in Cache: 0.45,Average Age = 0.24, Exprected Age = 0.13\n",
- "Object 22: Hit Rate = 0.51, Average Time spend in Cache: 0.46,Average Age = 0.26, Exprected Age = 0.13\n",
- "Object 23: Hit Rate = 0.50, Average Time spend in Cache: 0.44,Average Age = 0.25, Exprected Age = 0.12\n",
- "Object 24: Hit Rate = 0.68, Average Time spend in Cache: 0.39,Average Age = 0.32, Exprected Age = 0.23\n",
- "Object 25: Hit Rate = 0.51, Average Time spend in Cache: 0.45,Average Age = 0.23, Exprected Age = 0.13\n",
- "Object 26: Hit Rate = 0.51, Average Time spend in Cache: 0.45,Average Age = 0.26, Exprected Age = 0.13\n",
- "Object 27: Hit Rate = 0.50, Average Time spend in Cache: 0.44,Average Age = 0.24, Exprected Age = 0.13\n",
- "Object 28: Hit Rate = 0.83, Average Time spend in Cache: 0.20,Average Age = 0.42, Exprected Age = 0.35\n",
- "Object 29: Hit Rate = 0.49, Average Time spend in Cache: 0.45,Average Age = 0.24, Exprected Age = 0.12\n",
- "Object 30: Hit Rate = 0.50, Average Time spend in Cache: 0.44,Average Age = 0.23, Exprected Age = 0.13\n",
- "Object 31: Hit Rate = 0.48, Average Time spend in Cache: 0.46,Average Age = 0.25, Exprected Age = 0.11\n",
- "Object 32: Hit Rate = 0.80, Average Time spend in Cache: 0.24,Average Age = 0.40, Exprected Age = 0.32\n",
- "Object 33: Hit Rate = 0.50, Average Time spend in Cache: 0.44,Average Age = 0.25, Exprected Age = 0.12\n",
- "Object 34: Hit Rate = 0.80, Average Time spend in Cache: 0.22,Average Age = 0.41, Exprected Age = 0.32\n",
- "Object 35: Hit Rate = 0.49, Average Time spend in Cache: 0.45,Average Age = 0.24, Exprected Age = 0.12\n",
- "Object 36: Hit Rate = 0.50, Average Time spend in Cache: 0.47,Average Age = 0.25, Exprected Age = 0.12\n",
- "Object 37: Hit Rate = 0.51, Average Time spend in Cache: 0.45,Average Age = 0.26, Exprected Age = 0.13\n",
- "Object 38: Hit Rate = 0.75, Average Time spend in Cache: 0.30,Average Age = 0.36, Exprected Age = 0.28\n",
- "Object 39: Hit Rate = 0.89, Average Time spend in Cache: 0.13,Average Age = 0.44, Exprected Age = 0.40\n",
- "Object 40: Hit Rate = 0.51, Average Time spend in Cache: 0.44,Average Age = 0.25, Exprected Age = 0.13\n",
- "Object 41: Hit Rate = 0.80, Average Time spend in Cache: 0.23,Average Age = 0.38, Exprected Age = 0.32\n",
- "Object 42: Hit Rate = 0.80, Average Time spend in Cache: 0.24,Average Age = 0.41, Exprected Age = 0.32\n",
- "Object 43: Hit Rate = 0.66, Average Time spend in Cache: 0.40,Average Age = 0.32, Exprected Age = 0.22\n",
- "Object 44: Hit Rate = 0.50, Average Time spend in Cache: 0.46,Average Age = 0.25, Exprected Age = 0.13\n",
- "Object 45: Hit Rate = 0.51, Average Time spend in Cache: 0.43,Average Age = 0.25, Exprected Age = 0.13\n",
- "Object 46: Hit Rate = 0.50, Average Time spend in Cache: 0.46,Average Age = 0.25, Exprected Age = 0.12\n",
- "Object 47: Hit Rate = 0.91, Average Time spend in Cache: 0.10,Average Age = 0.46, Exprected Age = 0.41\n",
- "Object 48: Hit Rate = 0.49, Average Time spend in Cache: 0.43,Average Age = 0.24, Exprected Age = 0.12\n",
- "Object 49: Hit Rate = 0.50, Average Time spend in Cache: 0.44,Average Age = 0.24, Exprected Age = 0.13\n",
- "Object 50: Hit Rate = 0.49, Average Time spend in Cache: 0.42,Average Age = 0.25, Exprected Age = 0.12\n",
- "Object 51: Hit Rate = 0.83, Average Time spend in Cache: 0.20,Average Age = 0.40, Exprected Age = 0.35\n",
- "Object 52: Hit Rate = 0.90, Average Time spend in Cache: 0.11,Average Age = 0.45, Exprected Age = 0.40\n",
- "Object 53: Hit Rate = 0.52, Average Time spend in Cache: 0.44,Average Age = 0.25, Exprected Age = 0.13\n",
- "Object 54: Hit Rate = 0.51, Average Time spend in Cache: 0.45,Average Age = 0.25, Exprected Age = 0.13\n",
- "Object 55: Hit Rate = 0.48, Average Time spend in Cache: 0.45,Average Age = 0.25, Exprected Age = 0.12\n",
- "Object 56: Hit Rate = 0.48, Average Time spend in Cache: 0.44,Average Age = 0.25, Exprected Age = 0.11\n",
- "Object 57: Hit Rate = 0.50, Average Time spend in Cache: 0.47,Average Age = 0.24, Exprected Age = 0.13\n",
- "Object 58: Hit Rate = 0.94, Average Time spend in Cache: 0.06,Average Age = 0.47, Exprected Age = 0.45\n",
- "Object 59: Hit Rate = 0.66, Average Time spend in Cache: 0.41,Average Age = 0.34, Exprected Age = 0.22\n",
- "Object 60: Hit Rate = 0.51, Average Time spend in Cache: 0.45,Average Age = 0.25, Exprected Age = 0.13\n",
- "Object 61: Hit Rate = 0.96, Average Time spend in Cache: 0.04,Average Age = 0.48, Exprected Age = 0.46\n",
- "Object 62: Hit Rate = 0.50, Average Time spend in Cache: 0.45,Average Age = 0.26, Exprected Age = 0.12\n",
- "Object 63: Hit Rate = 0.49, Average Time spend in Cache: 0.44,Average Age = 0.24, Exprected Age = 0.12\n",
- "Object 64: Hit Rate = 0.67, Average Time spend in Cache: 0.39,Average Age = 0.33, Exprected Age = 0.22\n",
- "Object 65: Hit Rate = 0.50, Average Time spend in Cache: 0.42,Average Age = 0.25, Exprected Age = 0.13\n",
- "Object 66: Hit Rate = 0.91, Average Time spend in Cache: 0.09,Average Age = 0.47, Exprected Age = 0.41\n",
- "Object 67: Hit Rate = 0.51, Average Time spend in Cache: 0.44,Average Age = 0.26, Exprected Age = 0.13\n",
- "Object 68: Hit Rate = 0.99, Average Time spend in Cache: 0.01,Average Age = 0.48, Exprected Age = 0.49\n",
- "Object 69: Hit Rate = 0.51, Average Time spend in Cache: 0.43,Average Age = 0.27, Exprected Age = 0.13\n",
- "Object 70: Hit Rate = 0.50, Average Time spend in Cache: 0.46,Average Age = 0.22, Exprected Age = 0.13\n",
- "Object 71: Hit Rate = 0.66, Average Time spend in Cache: 0.40,Average Age = 0.33, Exprected Age = 0.22\n",
- "Object 72: Hit Rate = 0.49, Average Time spend in Cache: 0.45,Average Age = 0.25, Exprected Age = 0.12\n",
- "Object 73: Hit Rate = 0.51, Average Time spend in Cache: 0.46,Average Age = 0.25, Exprected Age = 0.13\n",
- "Object 74: Hit Rate = 0.51, Average Time spend in Cache: 0.43,Average Age = 0.26, Exprected Age = 0.13\n",
- "Object 75: Hit Rate = 0.74, Average Time spend in Cache: 0.31,Average Age = 0.37, Exprected Age = 0.28\n",
- "Object 76: Hit Rate = 0.66, Average Time spend in Cache: 0.37,Average Age = 0.35, Exprected Age = 0.21\n",
- "Object 77: Hit Rate = 0.67, Average Time spend in Cache: 0.40,Average Age = 0.33, Exprected Age = 0.22\n",
- "Object 78: Hit Rate = 0.75, Average Time spend in Cache: 0.31,Average Age = 0.36, Exprected Age = 0.28\n",
- "Object 79: Hit Rate = 0.94, Average Time spend in Cache: 0.06,Average Age = 0.45, Exprected Age = 0.44\n",
- "Object 80: Hit Rate = 0.51, Average Time spend in Cache: 0.44,Average Age = 0.25, Exprected Age = 0.13\n",
- "Object 81: Hit Rate = 0.50, Average Time spend in Cache: 0.45,Average Age = 0.25, Exprected Age = 0.13\n",
- "Object 82: Hit Rate = 0.83, Average Time spend in Cache: 0.20,Average Age = 0.41, Exprected Age = 0.35\n",
- "Object 83: Hit Rate = 0.67, Average Time spend in Cache: 0.40,Average Age = 0.32, Exprected Age = 0.22\n",
- "Object 84: Hit Rate = 0.50, Average Time spend in Cache: 0.46,Average Age = 0.26, Exprected Age = 0.12\n",
- "Object 85: Hit Rate = 0.48, Average Time spend in Cache: 0.47,Average Age = 0.24, Exprected Age = 0.11\n",
- "Object 86: Hit Rate = 0.66, Average Time spend in Cache: 0.40,Average Age = 0.32, Exprected Age = 0.22\n",
- "Object 87: Hit Rate = 0.51, Average Time spend in Cache: 0.45,Average Age = 0.25, Exprected Age = 0.13\n",
- "Object 88: Hit Rate = 0.66, Average Time spend in Cache: 0.41,Average Age = 0.32, Exprected Age = 0.22\n",
- "Object 89: Hit Rate = 0.50, Average Time spend in Cache: 0.44,Average Age = 0.28, Exprected Age = 0.13\n",
- "Object 90: Hit Rate = 0.50, Average Time spend in Cache: 0.46,Average Age = 0.24, Exprected Age = 0.13\n",
- "Object 91: Hit Rate = 0.67, Average Time spend in Cache: 0.42,Average Age = 0.32, Exprected Age = 0.22\n",
- "Object 92: Hit Rate = 0.66, Average Time spend in Cache: 0.40,Average Age = 0.31, Exprected Age = 0.22\n",
- "Object 93: Hit Rate = 0.75, Average Time spend in Cache: 0.31,Average Age = 0.36, Exprected Age = 0.28\n",
- "Object 94: Hit Rate = 0.49, Average Time spend in Cache: 0.48,Average Age = 0.26, Exprected Age = 0.12\n",
- "Object 95: Hit Rate = 0.67, Average Time spend in Cache: 0.38,Average Age = 0.31, Exprected Age = 0.23\n",
- "Object 96: Hit Rate = 0.51, Average Time spend in Cache: 0.46,Average Age = 0.25, Exprected Age = 0.13\n",
- "Object 97: Hit Rate = 0.50, Average Time spend in Cache: 0.43,Average Age = 0.25, Exprected Age = 0.12\n",
- "Object 98: Hit Rate = 0.97, Average Time spend in Cache: 0.03,Average Age = 0.49, Exprected Age = 0.47\n",
- "Object 99: Hit Rate = 0.80, Average Time spend in Cache: 0.24,Average Age = 0.39, Exprected Age = 0.32\n",
- "Object 100: Hit Rate = 0.66, Average Time spend in Cache: 0.38,Average Age = 0.34, Exprected Age = 0.22\n"
+ "Object 1: Hit Rate = 0.83, Average Time spend in Cache: 0.81,Average Age = 2.07, Exprected Age = 0.35\n",
+ "Object 2: Hit Rate = 0.94, Average Time spend in Cache: 0.87,Average Age = 2.32, Exprected Age = 0.44\n",
+ "Object 3: Hit Rate = 0.84, Average Time spend in Cache: 0.82,Average Age = 2.08, Exprected Age = 0.35\n",
+ "Object 4: Hit Rate = 0.83, Average Time spend in Cache: 0.82,Average Age = 2.10, Exprected Age = 0.35\n",
+ "Object 5: Hit Rate = 0.91, Average Time spend in Cache: 0.87,Average Age = 2.26, Exprected Age = 0.41\n",
+ "Object 6: Hit Rate = 0.83, Average Time spend in Cache: 0.81,Average Age = 2.09, Exprected Age = 0.35\n",
+ "Object 7: Hit Rate = 0.96, Average Time spend in Cache: 0.87,Average Age = 2.40, Exprected Age = 0.46\n",
+ "Object 8: Hit Rate = 0.84, Average Time spend in Cache: 0.82,Average Age = 2.07, Exprected Age = 0.35\n",
+ "Object 9: Hit Rate = 0.83, Average Time spend in Cache: 0.81,Average Age = 2.03, Exprected Age = 0.35\n",
+ "Object 10: Hit Rate = 0.83, Average Time spend in Cache: 0.82,Average Age = 2.04, Exprected Age = 0.35\n",
+ "Object 11: Hit Rate = 0.91, Average Time spend in Cache: 0.89,Average Age = 2.26, Exprected Age = 0.41\n",
+ "Object 12: Hit Rate = 0.84, Average Time spend in Cache: 0.81,Average Age = 2.04, Exprected Age = 0.35\n",
+ "Object 13: Hit Rate = 0.84, Average Time spend in Cache: 0.81,Average Age = 2.10, Exprected Age = 0.35\n",
+ "Object 14: Hit Rate = 0.83, Average Time spend in Cache: 0.82,Average Age = 2.07, Exprected Age = 0.34\n",
+ "Object 15: Hit Rate = 0.91, Average Time spend in Cache: 0.86,Average Age = 2.25, Exprected Age = 0.41\n",
+ "Object 16: Hit Rate = 0.91, Average Time spend in Cache: 0.87,Average Age = 2.28, Exprected Age = 0.42\n",
+ "Object 17: Hit Rate = 0.83, Average Time spend in Cache: 0.82,Average Age = 2.01, Exprected Age = 0.35\n",
+ "Object 18: Hit Rate = 0.83, Average Time spend in Cache: 0.80,Average Age = 2.13, Exprected Age = 0.35\n",
+ "Object 19: Hit Rate = 0.94, Average Time spend in Cache: 0.87,Average Age = 2.32, Exprected Age = 0.44\n",
+ "Object 20: Hit Rate = 0.83, Average Time spend in Cache: 0.80,Average Age = 2.04, Exprected Age = 0.35\n",
+ "Object 21: Hit Rate = 0.83, Average Time spend in Cache: 0.82,Average Age = 2.07, Exprected Age = 0.35\n",
+ "Object 22: Hit Rate = 0.83, Average Time spend in Cache: 0.82,Average Age = 2.09, Exprected Age = 0.35\n",
+ "Object 23: Hit Rate = 0.84, Average Time spend in Cache: 0.81,Average Age = 2.08, Exprected Age = 0.35\n",
+ "Object 24: Hit Rate = 0.91, Average Time spend in Cache: 0.88,Average Age = 2.28, Exprected Age = 0.41\n",
+ "Object 25: Hit Rate = 0.84, Average Time spend in Cache: 0.80,Average Age = 2.08, Exprected Age = 0.35\n",
+ "Object 26: Hit Rate = 0.84, Average Time spend in Cache: 0.81,Average Age = 2.07, Exprected Age = 0.35\n",
+ "Object 27: Hit Rate = 0.83, Average Time spend in Cache: 0.82,Average Age = 2.15, Exprected Age = 0.35\n",
+ "Object 28: Hit Rate = 0.96, Average Time spend in Cache: 0.86,Average Age = 2.41, Exprected Age = 0.46\n",
+ "Object 29: Hit Rate = 0.83, Average Time spend in Cache: 0.81,Average Age = 2.08, Exprected Age = 0.35\n",
+ "Object 30: Hit Rate = 0.83, Average Time spend in Cache: 0.82,Average Age = 2.07, Exprected Age = 0.35\n",
+ "Object 31: Hit Rate = 0.83, Average Time spend in Cache: 0.82,Average Age = 2.06, Exprected Age = 0.34\n",
+ "Object 32: Hit Rate = 0.95, Average Time spend in Cache: 0.86,Average Age = 2.36, Exprected Age = 0.45\n",
+ "Object 33: Hit Rate = 0.83, Average Time spend in Cache: 0.82,Average Age = 2.12, Exprected Age = 0.35\n",
+ "Object 34: Hit Rate = 0.95, Average Time spend in Cache: 0.87,Average Age = 2.37, Exprected Age = 0.45\n",
+ "Object 35: Hit Rate = 0.84, Average Time spend in Cache: 0.81,Average Age = 2.05, Exprected Age = 0.35\n",
+ "Object 36: Hit Rate = 0.83, Average Time spend in Cache: 0.83,Average Age = 2.02, Exprected Age = 0.34\n",
+ "Object 37: Hit Rate = 0.84, Average Time spend in Cache: 0.82,Average Age = 2.05, Exprected Age = 0.35\n",
+ "Object 38: Hit Rate = 0.94, Average Time spend in Cache: 0.87,Average Age = 2.36, Exprected Age = 0.44\n",
+ "Object 39: Hit Rate = 0.98, Average Time spend in Cache: 0.76,Average Age = 2.44, Exprected Age = 0.48\n",
+ "Object 40: Hit Rate = 0.83, Average Time spend in Cache: 0.79,Average Age = 2.07, Exprected Age = 0.34\n",
+ "Object 41: Hit Rate = 0.95, Average Time spend in Cache: 0.85,Average Age = 2.38, Exprected Age = 0.45\n",
+ "Object 42: Hit Rate = 0.95, Average Time spend in Cache: 0.86,Average Age = 2.37, Exprected Age = 0.45\n",
+ "Object 43: Hit Rate = 0.91, Average Time spend in Cache: 0.88,Average Age = 2.24, Exprected Age = 0.41\n",
+ "Object 44: Hit Rate = 0.83, Average Time spend in Cache: 0.82,Average Age = 2.04, Exprected Age = 0.34\n",
+ "Object 45: Hit Rate = 0.83, Average Time spend in Cache: 0.83,Average Age = 2.11, Exprected Age = 0.35\n",
+ "Object 46: Hit Rate = 0.83, Average Time spend in Cache: 0.82,Average Age = 2.12, Exprected Age = 0.35\n",
+ "Object 47: Hit Rate = 0.98, Average Time spend in Cache: 0.78,Average Age = 2.45, Exprected Age = 0.48\n",
+ "Object 48: Hit Rate = 0.83, Average Time spend in Cache: 0.81,Average Age = 2.14, Exprected Age = 0.35\n",
+ "Object 49: Hit Rate = 0.83, Average Time spend in Cache: 0.81,Average Age = 2.12, Exprected Age = 0.35\n",
+ "Object 50: Hit Rate = 0.83, Average Time spend in Cache: 0.82,Average Age = 2.06, Exprected Age = 0.35\n",
+ "Object 51: Hit Rate = 0.96, Average Time spend in Cache: 0.87,Average Age = 2.41, Exprected Age = 0.46\n",
+ "Object 52: Hit Rate = 0.98, Average Time spend in Cache: 0.81,Average Age = 2.46, Exprected Age = 0.48\n",
+ "Object 53: Hit Rate = 0.83, Average Time spend in Cache: 0.82,Average Age = 2.06, Exprected Age = 0.35\n",
+ "Object 54: Hit Rate = 0.83, Average Time spend in Cache: 0.81,Average Age = 2.05, Exprected Age = 0.34\n",
+ "Object 55: Hit Rate = 0.83, Average Time spend in Cache: 0.82,Average Age = 2.09, Exprected Age = 0.34\n",
+ "Object 56: Hit Rate = 0.83, Average Time spend in Cache: 0.82,Average Age = 2.07, Exprected Age = 0.34\n",
+ "Object 57: Hit Rate = 0.84, Average Time spend in Cache: 0.83,Average Age = 2.07, Exprected Age = 0.35\n",
+ "Object 58: Hit Rate = 0.99, Average Time spend in Cache: 0.68,Average Age = 2.46, Exprected Age = 0.49\n",
+ "Object 59: Hit Rate = 0.91, Average Time spend in Cache: 0.87,Average Age = 2.23, Exprected Age = 0.41\n",
+ "Object 60: Hit Rate = 0.84, Average Time spend in Cache: 0.81,Average Age = 2.07, Exprected Age = 0.35\n",
+ "Object 61: Hit Rate = 0.99, Average Time spend in Cache: 0.57,Average Age = 2.47, Exprected Age = 0.49\n",
+ "Object 62: Hit Rate = 0.83, Average Time spend in Cache: 0.82,Average Age = 2.07, Exprected Age = 0.34\n",
+ "Object 63: Hit Rate = 0.83, Average Time spend in Cache: 0.81,Average Age = 2.08, Exprected Age = 0.35\n",
+ "Object 64: Hit Rate = 0.91, Average Time spend in Cache: 0.87,Average Age = 2.27, Exprected Age = 0.41\n",
+ "Object 65: Hit Rate = 0.84, Average Time spend in Cache: 0.81,Average Age = 2.06, Exprected Age = 0.35\n",
+ "Object 66: Hit Rate = 0.98, Average Time spend in Cache: 0.78,Average Age = 2.46, Exprected Age = 0.48\n",
+ "Object 67: Hit Rate = 0.84, Average Time spend in Cache: 0.81,Average Age = 2.05, Exprected Age = 0.35\n",
+ "Object 68: Hit Rate = 1.00, Average Time spend in Cache: 0.29,Average Age = 2.49, Exprected Age = 0.50\n",
+ "Object 69: Hit Rate = 0.83, Average Time spend in Cache: 0.81,Average Age = 2.04, Exprected Age = 0.34\n",
+ "Object 70: Hit Rate = 0.83, Average Time spend in Cache: 0.83,Average Age = 2.06, Exprected Age = 0.35\n",
+ "Object 71: Hit Rate = 0.91, Average Time spend in Cache: 0.84,Average Age = 2.25, Exprected Age = 0.41\n",
+ "Object 72: Hit Rate = 0.83, Average Time spend in Cache: 0.81,Average Age = 2.09, Exprected Age = 0.35\n",
+ "Object 73: Hit Rate = 0.83, Average Time spend in Cache: 0.82,Average Age = 2.10, Exprected Age = 0.35\n",
+ "Object 74: Hit Rate = 0.84, Average Time spend in Cache: 0.82,Average Age = 2.06, Exprected Age = 0.35\n",
+ "Object 75: Hit Rate = 0.94, Average Time spend in Cache: 0.88,Average Age = 2.31, Exprected Age = 0.44\n",
+ "Object 76: Hit Rate = 0.91, Average Time spend in Cache: 0.86,Average Age = 2.28, Exprected Age = 0.41\n",
+ "Object 77: Hit Rate = 0.91, Average Time spend in Cache: 0.87,Average Age = 2.25, Exprected Age = 0.42\n",
+ "Object 78: Hit Rate = 0.94, Average Time spend in Cache: 0.88,Average Age = 2.32, Exprected Age = 0.44\n",
+ "Object 79: Hit Rate = 0.99, Average Time spend in Cache: 0.71,Average Age = 2.46, Exprected Age = 0.49\n",
+ "Object 80: Hit Rate = 0.83, Average Time spend in Cache: 0.82,Average Age = 2.10, Exprected Age = 0.35\n",
+ "Object 81: Hit Rate = 0.83, Average Time spend in Cache: 0.80,Average Age = 2.06, Exprected Age = 0.34\n",
+ "Object 82: Hit Rate = 0.96, Average Time spend in Cache: 0.85,Average Age = 2.41, Exprected Age = 0.46\n",
+ "Object 83: Hit Rate = 0.91, Average Time spend in Cache: 0.87,Average Age = 2.32, Exprected Age = 0.41\n",
+ "Object 84: Hit Rate = 0.83, Average Time spend in Cache: 0.82,Average Age = 2.05, Exprected Age = 0.35\n",
+ "Object 85: Hit Rate = 0.83, Average Time spend in Cache: 0.82,Average Age = 2.06, Exprected Age = 0.35\n",
+ "Object 86: Hit Rate = 0.91, Average Time spend in Cache: 0.86,Average Age = 2.28, Exprected Age = 0.41\n",
+ "Object 87: Hit Rate = 0.84, Average Time spend in Cache: 0.82,Average Age = 2.09, Exprected Age = 0.35\n",
+ "Object 88: Hit Rate = 0.91, Average Time spend in Cache: 0.86,Average Age = 2.24, Exprected Age = 0.41\n",
+ "Object 89: Hit Rate = 0.83, Average Time spend in Cache: 0.81,Average Age = 2.04, Exprected Age = 0.35\n",
+ "Object 90: Hit Rate = 0.84, Average Time spend in Cache: 0.81,Average Age = 2.08, Exprected Age = 0.35\n",
+ "Object 91: Hit Rate = 0.91, Average Time spend in Cache: 0.88,Average Age = 2.26, Exprected Age = 0.41\n",
+ "Object 92: Hit Rate = 0.91, Average Time spend in Cache: 0.84,Average Age = 2.28, Exprected Age = 0.41\n",
+ "Object 93: Hit Rate = 0.94, Average Time spend in Cache: 0.89,Average Age = 2.38, Exprected Age = 0.44\n",
+ "Object 94: Hit Rate = 0.83, Average Time spend in Cache: 0.81,Average Age = 2.09, Exprected Age = 0.34\n",
+ "Object 95: Hit Rate = 0.91, Average Time spend in Cache: 0.87,Average Age = 2.25, Exprected Age = 0.41\n",
+ "Object 96: Hit Rate = 0.83, Average Time spend in Cache: 0.81,Average Age = 2.04, Exprected Age = 0.35\n",
+ "Object 97: Hit Rate = 0.83, Average Time spend in Cache: 0.81,Average Age = 2.08, Exprected Age = 0.35\n",
+ "Object 98: Hit Rate = 0.99, Average Time spend in Cache: 0.47,Average Age = 2.48, Exprected Age = 0.49\n",
+ "Object 99: Hit Rate = 0.95, Average Time spend in Cache: 0.86,Average Age = 2.38, Exprected Age = 0.45\n",
+ "Object 100: Hit Rate = 0.91, Average Time spend in Cache: 0.87,Average Age = 2.26, Exprected Age = 0.41\n"
]
}
],
@@ -479,7 +478,7 @@
" avg_cache_time = cache.cumulative_cache_time[obj_id] / max(1, simulation_end_time) # Only average over hits\n",
" expected_age = (0.5*pow(hit_rate,2))\n",
" print(f\"Object {obj_id}: Hit Rate = {hit_rate:.2f}, Average Time spend in Cache: {avg_cache_time:.2f},Average Age = {avg_age:.2f}, Exprected Age = {expected_age:.2f}\")\n",
- " statistics.append({\"obj_id\": obj_id,\"hit_rate\": hit_rate, \"avg_cache_time\":{avg_cache_time}, \"avg_age\": avg_age, \"expected_age\": expected_age})"
+ " statistics.append({\"obj_id\": obj_id,\"hit_rate\": hit_rate, \"avg_cache_time\":avg_cache_time, \"avg_age\": avg_age, \"expected_age\": expected_age})"
]
},
{
@@ -494,505 +493,505 @@
"data": {
"text/plain": [
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- " 'avg_cache_time': {0.4412781735113091},\n",
- " 'avg_age': 0.24528301886792453,\n",
- " 'expected_age': 0.11710973656105375},\n",
+ " 'hit_rate': 0.8343359555761222,\n",
+ " 'avg_cache_time': {0.810432254071845},\n",
+ " 'avg_age': 2.068923674198366,\n",
+ " 'expected_age': 0.34805824338356045},\n",
" {'obj_id': 2,\n",
- " 'hit_rate': 0.7494428525947151,\n",
- " 'avg_cache_time': {0.31902835405360586},\n",
- " 'avg_age': 0.3734479465138491,\n",
- " 'expected_age': 0.2808322946526519},\n",
+ " 'hit_rate': 0.9368521766863339,\n",
+ " 'avg_cache_time': {0.8697853571068594},\n",
+ " 'avg_age': 2.3207402902916767,\n",
+ " 'expected_age': 0.4388460004809609},\n",
" {'obj_id': 3,\n",
- " 'hit_rate': 0.49339622641509434,\n",
- " 'avg_cache_time': {0.44980687764573746},\n",
- " 'avg_age': 0.27075471698113207,\n",
- " 'expected_age': 0.12171991812032752},\n",
+ " 'hit_rate': 0.8387391502969392,\n",
+ " 'avg_cache_time': {0.8200673629152411},\n",
+ " 'avg_age': 2.083112933481689,\n",
+ " 'expected_age': 0.3517416811204158},\n",
" {'obj_id': 4,\n",
- " 'hit_rate': 0.5052231718898386,\n",
- " 'avg_cache_time': {0.4427566492374166},\n",
- " 'avg_age': 0.2564102564102564,\n",
- " 'expected_age': 0.12762522670721468},\n",
+ " 'hit_rate': 0.8345864661654135,\n",
+ " 'avg_cache_time': {0.817667207716411},\n",
+ " 'avg_age': 2.098241838496266,\n",
+ " 'expected_age': 0.3482672847532365},\n",
" {'obj_id': 5,\n",
- " 'hit_rate': 0.662807525325615,\n",
- " 'avg_cache_time': {0.3845930065522347},\n",
- " 'avg_age': 0.3174143753014954,\n",
- " 'expected_age': 0.2196569078141329},\n",
+ " 'hit_rate': 0.9079009995240361,\n",
+ " 'avg_cache_time': {0.8745472033792867},\n",
+ " 'avg_age': 2.2637599890084745,\n",
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" {'obj_id': 6,\n",
- " 'hit_rate': 0.4995296331138288,\n",
- " 'avg_cache_time': {0.4388542030564692},\n",
- " 'avg_age': 0.24553151458137348,\n",
- " 'expected_age': 0.12476492717941821},\n",
+ " 'hit_rate': 0.8327790973871734,\n",
+ " 'avg_cache_time': {0.8080445983334636},\n",
+ " 'avg_age': 2.0885926647923605,\n",
+ " 'expected_age': 0.3467605125224976},\n",
" {'obj_id': 7,\n",
- " 'hit_rate': 0.8322456813819578,\n",
- " 'avg_cache_time': {0.20833906271582425},\n",
- " 'avg_age': 0.4161228406909789,\n",
- " 'expected_age': 0.3463164370894596},\n",
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+ " 'avg_age': 2.396789243995202,\n",
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" {'obj_id': 8,\n",
- " 'hit_rate': 0.5115420129270545,\n",
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- " 'avg_age': 0.23730378578024008,\n",
- " 'expected_age': 0.13083761549473139},\n",
+ " 'hit_rate': 0.8350230414746543,\n",
+ " 'avg_cache_time': {0.8224079743937736},\n",
+ " 'avg_age': 2.0748384445301578,\n",
+ " 'expected_age': 0.34863173989679114},\n",
" {'obj_id': 9,\n",
- " 'hit_rate': 0.508411214953271,\n",
- " 'avg_cache_time': {0.44247315965622197},\n",
- " 'avg_age': 0.2514018691588785,\n",
- " 'expected_age': 0.12924098174513057},\n",
+ " 'hit_rate': 0.8310523831996225,\n",
+ " 'avg_cache_time': {0.808204836664193},\n",
+ " 'avg_age': 2.030852029418002,\n",
+ " 'expected_age': 0.3453240318108861},\n",
" {'obj_id': 10,\n",
- " 'hit_rate': 0.5062082139446036,\n",
- " 'avg_cache_time': {0.4398827460159419},\n",
- " 'avg_age': 0.2597898758357211,\n",
- " 'expected_age': 0.1281233779324928},\n",
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+ " 'avg_age': 2.0440294768985754,\n",
+ " 'expected_age': 0.34513832220112506},\n",
" {'obj_id': 11,\n",
- " 'hit_rate': 0.6730769230769231,\n",
- " 'avg_cache_time': {0.3884306468771192},\n",
- " 'avg_age': 0.3348968105065666,\n",
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+ " 'avg_cache_time': {0.891248201160126},\n",
+ " 'avg_age': 2.2625636303653898,\n",
+ " 'expected_age': 0.413027555057596},\n",
" {'obj_id': 12,\n",
- " 'hit_rate': 0.5165137614678899,\n",
- " 'avg_cache_time': {0.4351341598576934},\n",
- " 'avg_age': 0.25412844036697246,\n",
- " 'expected_age': 0.1333932328928541},\n",
+ " 'hit_rate': 0.8373071528751753,\n",
+ " 'avg_cache_time': {0.8102551278956152},\n",
+ " 'avg_age': 2.0383876738470725,\n",
+ " 'expected_age': 0.35054163412796613},\n",
" {'obj_id': 13,\n",
- " 'hit_rate': 0.5198889916743756,\n",
- " 'avg_cache_time': {0.4651000045327703},\n",
- " 'avg_age': 0.25716928769657726,\n",
- " 'expected_age': 0.1351422818320995},\n",
+ " 'hit_rate': 0.8361344537815126,\n",
+ " 'avg_cache_time': {0.8105750271598551},\n",
+ " 'avg_age': 2.0954043404028435,\n",
+ " 'expected_age': 0.34956041240025426},\n",
" {'obj_id': 14,\n",
- " 'hit_rate': 0.47619047619047616,\n",
- " 'avg_cache_time': {0.4446350922911967},\n",
- " 'avg_age': 0.24295432458697766,\n",
- " 'expected_age': 0.11337868480725623},\n",
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+ " 'avg_cache_time': {0.8201096214390584},\n",
+ " 'avg_age': 2.0706796740450875,\n",
+ " 'expected_age': 0.34366666862091},\n",
" {'obj_id': 15,\n",
- " 'hit_rate': 0.6603144354454502,\n",
- " 'avg_cache_time': {0.38197803386971035},\n",
- " 'avg_age': 0.3239637922820391,\n",
- " 'expected_age': 0.21800757682882183},\n",
+ " 'hit_rate': 0.908745247148289,\n",
+ " 'avg_cache_time': {0.8605605035087328},\n",
+ " 'avg_age': 2.2466123908950646,\n",
+ " 'expected_age': 0.4129089621073024},\n",
" {'obj_id': 16,\n",
- " 'hit_rate': 0.6741784037558686,\n",
- " 'avg_cache_time': {0.3824529251973495},\n",
- " 'avg_age': 0.33004694835680753,\n",
- " 'expected_age': 0.22725826004540547},\n",
+ " 'hit_rate': 0.9110956360259982,\n",
+ " 'avg_cache_time': {0.8747680644435698},\n",
+ " 'avg_age': 2.2834548671334542,\n",
+ " 'expected_age': 0.41504762899280906},\n",
" {'obj_id': 17,\n",
- " 'hit_rate': 0.5097856477166822,\n",
- " 'avg_cache_time': {0.45918013393281554},\n",
- " 'avg_age': 0.24697110904007455,\n",
- " 'expected_age': 0.12994070330895863},\n",
+ " 'hit_rate': 0.8320683111954459,\n",
+ " 'avg_cache_time': {0.8150399870989544},\n",
+ " 'avg_age': 2.0097170455667013,\n",
+ " 'expected_age': 0.3461688372478207},\n",
" {'obj_id': 18,\n",
- " 'hit_rate': 0.49571836346336823,\n",
- " 'avg_cache_time': {0.45718367968292783},\n",
- " 'avg_age': 0.2483349191246432,\n",
- " 'expected_age': 0.12286834793740002},\n",
+ " 'hit_rate': 0.8342067651262506,\n",
+ " 'avg_cache_time': {0.8032009912464316},\n",
+ " 'avg_age': 2.1273968056684316,\n",
+ " 'expected_age': 0.3479504634912017},\n",
" {'obj_id': 19,\n",
- " 'hit_rate': 0.743657331136738,\n",
- " 'avg_cache_time': {0.3144760515038375},\n",
- " 'avg_age': 0.36902800658978585,\n",
- " 'expected_age': 0.276513113076708},\n",
+ " 'hit_rate': 0.9354469684588985,\n",
+ " 'avg_cache_time': {0.8651012574814502},\n",
+ " 'avg_age': 2.3206810673715705,\n",
+ " 'expected_age': 0.43753051539947174},\n",
" {'obj_id': 20,\n",
- " 'hit_rate': 0.5014464802314368,\n",
- " 'avg_cache_time': {0.4640638371526262},\n",
- " 'avg_age': 0.24397299903567984,\n",
- " 'expected_age': 0.12572428626824836},\n",
+ " 'hit_rate': 0.833976833976834,\n",
+ " 'avg_cache_time': {0.7986061563297104},\n",
+ " 'avg_age': 2.0432248271474878,\n",
+ " 'expected_age': 0.34775867980501185},\n",
" {'obj_id': 21,\n",
- " 'hit_rate': 0.5060804490177736,\n",
- " 'avg_cache_time': {0.45415054396582566},\n",
- " 'avg_age': 0.23760523854069224,\n",
- " 'expected_age': 0.12805871043901568},\n",
+ " 'hit_rate': 0.8348837209302326,\n",
+ " 'avg_cache_time': {0.8152281904411368},\n",
+ " 'avg_age': 2.0677338592418755,\n",
+ " 'expected_age': 0.3485154137371552},\n",
" {'obj_id': 22,\n",
- " 'hit_rate': 0.5080113100848256,\n",
- " 'avg_cache_time': {0.46202785111644473},\n",
- " 'avg_age': 0.2629594721960415,\n",
- " 'expected_age': 0.12903774558705042},\n",
+ " 'hit_rate': 0.8338068181818182,\n",
+ " 'avg_cache_time': {0.8174427840452981},\n",
+ " 'avg_age': 2.086382182099578,\n",
+ " 'expected_age': 0.3476169050232438},\n",
" {'obj_id': 23,\n",
- " 'hit_rate': 0.4990842490842491,\n",
- " 'avg_cache_time': {0.4442432279054835},\n",
- " 'avg_age': 0.2454212454212454,\n",
- " 'expected_age': 0.1245425438419944},\n",
+ " 'hit_rate': 0.8357510528778662,\n",
+ " 'avg_cache_time': {0.8057637380263669},\n",
+ " 'avg_age': 2.0794074474530007,\n",
+ " 'expected_age': 0.34923991119323095},\n",
" {'obj_id': 24,\n",
- " 'hit_rate': 0.6754507628294036,\n",
- " 'avg_cache_time': {0.39248746874241397},\n",
- " 'avg_age': 0.32085067036523346,\n",
- " 'expected_age': 0.22811686650341165},\n",
+ " 'hit_rate': 0.9097920074783828,\n",
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]
},
"execution_count": 11,
@@ -1057,63 +1056,63 @@
" \n",
" \n",
" | 1 | \n",
- " 1060 | \n",
- " 513 | \n",
- " 547 | \n",
+ " 2161 | \n",
+ " 1803 | \n",
+ " 358 | \n",
" 0 | \n",
" 1 | \n",
- " 0.483962 | \n",
- " 0.245283 | \n",
- " 0.117110 | \n",
- " 0.128173 | \n",
+ " 0.834336 | \n",
+ " 2.068924 | \n",
+ " 0.348058 | \n",
+ " 1.720865 | \n",
"
\n",
" \n",
" | 2 | \n",
- " 3141 | \n",
- " 2354 | \n",
- " 787 | \n",
+ " 6271 | \n",
+ " 5875 | \n",
+ " 396 | \n",
" 0 | \n",
" 3 | \n",
- " 0.749443 | \n",
- " 0.373448 | \n",
- " 0.280832 | \n",
- " 0.092616 | \n",
+ " 0.936852 | \n",
+ " 2.320740 | \n",
+ " 0.438846 | \n",
+ " 1.881894 | \n",
"
\n",
" \n",
" | 3 | \n",
- " 1060 | \n",
- " 523 | \n",
- " 537 | \n",
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" 0 | \n",
" 1 | \n",
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+ " 2.083113 | \n",
+ " 0.351742 | \n",
+ " 1.731371 | \n",
"
\n",
" \n",
" | 4 | \n",
- " 1053 | \n",
- " 532 | \n",
- " 521 | \n",
+ " 2128 | \n",
+ " 1776 | \n",
+ " 352 | \n",
" 0 | \n",
" 1 | \n",
- " 0.505223 | \n",
- " 0.256410 | \n",
- " 0.127625 | \n",
- " 0.128785 | \n",
+ " 0.834586 | \n",
+ " 2.098242 | \n",
+ " 0.348267 | \n",
+ " 1.749975 | \n",
"
\n",
" \n",
" | 5 | \n",
- " 2073 | \n",
- " 1374 | \n",
- " 699 | \n",
+ " 4202 | \n",
+ " 3815 | \n",
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" 0 | \n",
" 2 | \n",
- " 0.662808 | \n",
- " 0.317414 | \n",
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- " 0.097757 | \n",
+ " 0.907901 | \n",
+ " 2.263760 | \n",
+ " 0.412142 | \n",
+ " 1.851618 | \n",
"
\n",
" \n",
" | ... | \n",
@@ -1129,63 +1128,63 @@
"
\n",
" \n",
" | 96 | \n",
- " 1026 | \n",
- " 521 | \n",
- " 505 | \n",
+ " 2101 | \n",
+ " 1750 | \n",
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" 0 | \n",
" 1 | \n",
- " 0.507797 | \n",
- " 0.249513 | \n",
- " 0.128929 | \n",
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+ " 0.832937 | \n",
+ " 2.038627 | \n",
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+ " 1.691735 | \n",
"
\n",
" \n",
" | 97 | \n",
- " 1015 | \n",
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- " 510 | \n",
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" 0 | \n",
" 1 | \n",
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+ " 2.078611 | \n",
+ " 0.345132 | \n",
+ " 1.733479 | \n",
"
\n",
" \n",
" | 98 | \n",
- " 39278 | \n",
- " 38248 | \n",
- " 1030 | \n",
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" 0 | \n",
" 37 | \n",
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+ " 2.481104 | \n",
+ " 0.494633 | \n",
+ " 1.986472 | \n",
"
\n",
" \n",
" | 99 | \n",
- " 4158 | \n",
- " 3315 | \n",
- " 843 | \n",
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" 0 | \n",
" 4 | \n",
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- " 0.075407 | \n",
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+ " 2.375695 | \n",
+ " 0.453955 | \n",
+ " 1.921740 | \n",
"
\n",
" \n",
" | 100 | \n",
- " 2084 | \n",
- " 1373 | \n",
- " 711 | \n",
+ " 4254 | \n",
+ " 3866 | \n",
+ " 388 | \n",
" 0 | \n",
" 2 | \n",
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- " 0.217028 | \n",
- " 0.118865 | \n",
+ " 0.908792 | \n",
+ " 2.258422 | \n",
+ " 0.412951 | \n",
+ " 1.845470 | \n",
"
\n",
" \n",
"\n",
@@ -1194,30 +1193,30 @@
],
"text/plain": [
" access_count hits misses mu lambda hit_rate avg_age \\\n",
- "1 1060 513 547 0 1 0.483962 0.245283 \n",
- "2 3141 2354 787 0 3 0.749443 0.373448 \n",
- "3 1060 523 537 0 1 0.493396 0.270755 \n",
- "4 1053 532 521 0 1 0.505223 0.256410 \n",
- "5 2073 1374 699 0 2 0.662808 0.317414 \n",
+ "1 2161 1803 358 0 1 0.834336 2.068924 \n",
+ "2 6271 5875 396 0 3 0.936852 2.320740 \n",
+ "3 2189 1836 353 0 1 0.838739 2.083113 \n",
+ "4 2128 1776 352 0 1 0.834586 2.098242 \n",
+ "5 4202 3815 387 0 2 0.907901 2.263760 \n",
".. ... ... ... .. ... ... ... \n",
- "96 1026 521 505 0 1 0.507797 0.249513 \n",
- "97 1015 505 510 0 1 0.497537 0.249261 \n",
- "98 39278 38248 1030 0 37 0.973777 0.490173 \n",
- "99 4158 3315 843 0 4 0.797258 0.393218 \n",
- "100 2084 1373 711 0 2 0.658829 0.335893 \n",
+ "96 2101 1750 351 0 1 0.832937 2.038627 \n",
+ "97 2057 1709 348 0 1 0.830822 2.078611 \n",
+ "98 78225 77804 421 0 37 0.994618 2.481104 \n",
+ "99 8546 8143 403 0 4 0.952843 2.375695 \n",
+ "100 4254 3866 388 0 2 0.908792 2.258422 \n",
"\n",
" expected_age age_delta \n",
- "1 0.117110 0.128173 \n",
- "2 0.280832 0.092616 \n",
- "3 0.121720 0.149035 \n",
- "4 0.127625 0.128785 \n",
- "5 0.219657 0.097757 \n",
+ "1 0.348058 1.720865 \n",
+ "2 0.438846 1.881894 \n",
+ "3 0.351742 1.731371 \n",
+ "4 0.348267 1.749975 \n",
+ "5 0.412142 1.851618 \n",
".. ... ... \n",
- "96 0.128929 0.120584 \n",
- "97 0.123772 0.125490 \n",
- "98 0.474121 0.016052 \n",
- "99 0.317810 0.075407 \n",
- "100 0.217028 0.118865 \n",
+ "96 0.346892 1.691735 \n",
+ "97 0.345132 1.733479 \n",
+ "98 0.494633 1.986472 \n",
+ "99 0.453955 1.921740 \n",
+ "100 0.412951 1.845470 \n",
"\n",
"[100 rows x 9 columns]"
]
@@ -1235,16 +1234,20 @@
"lmbda = pd.DataFrame.from_dict(db.lambda_values, orient='index', columns=['lambda'])\n",
"hit_rate = pd.DataFrame(stats['hit_rate'])\n",
"hit_rate.index = range(1,DATABASE_OBJECTS + 1)\n",
+ "avg_cache_time = pd.DataFrame(stats['avg_cache_time'])\n",
+ "avg_cache_time.index = range(1,DATABASE_OBJECTS + 1)\n",
+ "cache_time_delta = pd.DataFrame((hit_rate.to_numpy()-avg_cache_time.to_numpy()), columns=['cache_time_delta'])\n",
+ "cache_time_delta.index = range(1,DATABASE_OBJECTS + 1)\n",
"avg_age = pd.DataFrame(stats['avg_age'])\n",
"avg_age.index = range(1,DATABASE_OBJECTS + 1)\n",
"expected_age = (0.5*pow(hit_rate,2)).rename(columns={'hit_rate': \"expected_age\"})\n",
"age_delta = pd.DataFrame((avg_age.to_numpy()-expected_age.to_numpy()), columns=['age_delta'])\n",
"age_delta.index = range(1,DATABASE_OBJECTS + 1)\n",
"\n",
- "merged = access_count.merge(hits, left_index=True, right_index=True).merge(misses, left_index=True, right_index=True)\\\n",
- " .merge(mu, left_index=True, right_index=True).merge(lmbda, left_index=True, right_index=True)\\\n",
- " .merge(hit_rate, left_index=True, right_index=True).merge(avg_age, left_index=True, right_index=True)\\\n",
- " .merge(expected_age, left_index=True, right_index=True).merge(age_delta, left_index=True, right_index=True)\n",
+ "merged = access_count.merge(hits, left_index=True, right_index=True).merge(misses, left_index=True, right_index=True) \\\n",
+ " .merge(mu, left_index=True, right_index=True).merge(lmbda, left_index=True, right_index=True) \\\n",
+ " .merge(hit_rate, left_index=True, right_index=True).merge(avg_cache_time, left_index=True, right_index=True).merge(cache_time_delta, left_index=True, right_index=True) \\\n",
+ " .merge(avg_age, left_index=True, right_index=True).merge(expected_age, left_index=True, right_index=True).merge(age_delta, left_index=True, right_index=True)\n",
"merged.to_csv(f\"{TEMP_BASE_DIR}/details.csv\", index_label=\"obj_id\")\n",
"merged"
]
@@ -1257,7 +1260,7 @@
"outputs": [
{
"data": {
- "image/png": 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UVADeknMA8PTTTwvbUFxcjA4dOvj+3atXL1NtP3bsGPr376/5/LzzzvN9f+GFF5o6l4zsGFNaWqpxdJIROdio+wLwOtbMmzdPeL3ExERIksT9LQA0adIEAHD06FEAsHw/Mq+88grmzZuH22+/HaeddhpuvfVWPPLII7jtttv8Oh+gHTvyMywsLETbtm25v5E/l/vQDDNnzsSYMWNw+PBhRTk6dpwcPXoU3bt3R8eOHS23W257YWEhACA3NxdFRUWYMmUKpkyZwj1HTk6O8PzsGBLBG0OPPvooPvjgA6Snp+O0007Dhg0bkJOTg0cffdR3TGJiIoqLi9GlSxdT7TL7LtkBby4BgB49emg+l/sasH5PBEEQBEEQBEEQBEE0bMgBiyAIgiAIgiAIgiCIBs2ZZ56JIUOGYMqUKRg+fLjme1EmJLfbLTxneHi4qc8Ab2Ygq8jZrb799ltccskl3GNat26t+Lec7ac+OO+887B48WLExcXhhhtu4B4TFxcHADj//PMDvp7H44HD4cDy5cu5/a7uG3/p0qUL9u7di5UrV2L58uVYvnw5pk+fjqFDh2LmzJl+ndOfcXLuuecCAPbv32/qGnPmzMGwYcNw33334d1330WXLl0QHh6OUaNG+ZzSrGLUbnnMDhkyROg42LdvX+H5ZQfAuLg44ZjnjaFHH30U77//PubPn48333wT8+bNQ7t27RROch6PB126dMHcuXO55+3cubPi36F8l0T9yvucHSNW74kgCIIgCIIgCIIgiIYNOWARBEEQBEEQBEEQBNHg+eijjzBnzhx8/fXXmu/kDERFRUWKz48dOxa09sgZrmQkSUJSUpLPQUUu9da2bVsMGjTI1mv37NkTR44c0Xx++PBh3/dWueuuuzBq1CjMmjWL64Dldrvx22+/oUOHDrj22msV36n7AgASEhIQGRkpvF7v3r0hSRJ69eqFs88+W/c4ADhw4IBuP+qVI2zatCnuvvtu3H333fB4PHjllVcwefJkjBgxAmeddZbwd3Zy9tln45xzzsGSJUvw448/GjqYLViwAGeeeSYWLVqkuDd1qcHevXtj5cqVKCgoMJUFS4/OnTujTZs2cLvdfo3Z22+/HeHh4Zg9ezaGDh3KPWbWrFmIiIhQOFf16tULV155Jf7880+89tprWLRoEe677z40a9bMd0zv3r2xZs0aXHvttfXqqGgnJ+M9EQRBEARBEARBEMS/mbD6bgBBEARBEARBEARBEIQRvXv3xpAhQzB58mRkZWUpvmvbti1OOeUUREdHKz6fOHFi0Noza9YsRam1BQsWIDMzE7fffjsAoF+/fujduze+++47lJWVaX6fm5vr97XvuOMOxMTEYNu2bb7PysvLMWXKFERGRvqVoeqaa67BoEGDMH36dPzzzz+a7z/88EMkJCTgvffe0ziLLF68GOnp6b5/x8TEYMeOHb6+4PHAAw8gPDwcI0eO1GSOkiTJV/bxsssuQ69evTB27FiNgx37u1atWgHQOuGpy0eGhYX5nOSqq6uF7QsGI0eORH5+Pp577jm4XC7N96tWrfL1vZw9ib3HHTt2KJ45ADz44IOQJAkjR47UnM9q5rbw8HA8+OCDWLhwIQ4cOKD53mjM9ujRA8888wzWrFmDn3/+WfP9pEmTsG7dOjz77LM4/fTTFd89+uij2L59O6ZNm4a8vDxF+UEAeOSRR+B2u/H5559rzutyuTTPvTFwMt4TQRAEQRAEQRAEQfyboQxYBEEQBEEQBEEQBEE0Cj788EPMnj0bR44cwQUXXKD47rnnnsPo0aPx3HPP4fLLL0d0dDQSEhKC1paOHTviuuuuwzPPPIPs7GyMHTsWZ511Fp5//nkAXkefqVOn4vbbb8cFF1yAZ555BqeddhrS09Oxfv16tG3bFkuXLvXr2sOHD8fvv/+O22+/Ha+//jo6duyImTNnIiUlBQsXLkRYmH/xdrNmzcLNN9+Me++9F0888QSuv/56VFdXY9GiRdiwYQMeffRRvPvuu5rfnXXWWbjuuuvw8ssvo7q6GmPHjkWnTp3w3nvvCa/Vu3dvfPHFF3j//feRmpqK++67D23atEFKSgr++usvvPDCC3jnnXcQFhaGn3/+GXfffTcuueQSPPPMMzj11FNx+PBhHDx4ECtXrgTgdXgDgNdffx2DBw9GeHg4HnvsMTz33HMoKCjATTfdhNNPPx3Hjh3D+PHjcckll/hK5oWKRx99FPv378eXX36J2NhYPP744+jZsyfy8/OxYsUKrF27Fr/99hsAb0ayRYsW4f7778edd96JlJQUTJo0Ceeff77CoW/gwIF46qmnMG7cOCQmJuK2226Dx+PBpk2bMHDgQLz22muW2jh69GisX78e/fv3x/PPP4/zzz8fBQUF2LNnD9asWYOCggLd3//www84fPgwXnnlFaxYscKX6WrlypVYsmQJBgwYgDFjxmh+98gjj+Cdd97BO++8g44dO2oycA0YMAAvvvgiRo0ahb179+LWW29FkyZNkJiYiPnz5+PHH3/EQw89ZOle65uT8Z4IgiAIgiAIgiAI4t8MOWARBEEQBEEQBEEQBNEoOOusszBkyBDMnDlT893HH3+M3NxcLFiwAPPmzcPtt9+O5cuXo0uXLkFpywcffIC4uDiMGjUKpaWluPnmmzFx4kS0bNnSd8yNN96Ibdu24fPPP8dPP/2EsrIydOvWDf3798eLL77o97W7du2KrVu34n//+x/Gjx+Pqqoq9O3bF0uXLsWdd97p93lPPfVUxMTEYMyYMZg/fz4WLlyIiIgI9O3bFzNmzMDQoUO5pf6GDh2KsLAwjB07Fjk5Objyyivx008/4dRTT9W93vDhw3H22Wfjhx9+8GVw6tGjB2699Vbcc889vuMGDx6M9evXY+TIkRgzZgw8Hg969+7tc3YDvBm1/vOf/+CPP/7AnDlzIEkSHnvsMQwZMgRTpkzBxIkTUVRUhG7duuHRRx/Fp59+6rejWiB88cUXuOmmmzBu3Dj8/PPPKCgoQIcOHXDVVVdhyZIlvvseNmwYsrKyMHnyZKxcuRLnn38+5syZg/nz52PDhg2Kc06fPh19+/bFr7/+infffRft2rXD5ZdfjmuuucZy+7p27YqYmBh89tlnWLRoESZOnIhOnTrhggsu4Jb/VNO6dWusXbsWEydOxJw5c/Duu+9CkiSce+65GDt2LF555RU0adJE87vTTz8d11xzDbZs2YLnnnuOe8ykSZPQr18/TJ48GR988AEiIiIQGRmJIUOGaMpiNhZOxnsiCIIgCIIgCIIgiH8rDslqPnKCIAiCIAiCIAiCIAiCsMCIESMwatQobuk9giAIgiAIgiAIgiAIgmjshD7UjyAIgiAIgiAIgiAIgvhXkZmZiVNOOaW+m0EQBEEQBEEQBEEQBEEQQYFKEBIEQRAEQRAEQRAEQRBBITk5GX/99Rfmz5+Pu+66q76bQxAEQRAEQRAEQRAEQRBBgTJgEQRBEARBEARBEARBEEEhOjoaI0eOxIABA/D999/Xd3MIgiAIgiAIgiAIgiAIIig4JEmS6rsRBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQjRHKgEUQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBOEn5IBFEARBEARBEARBEARBEARBEARBEARBEARBEAThJxH13YCGgMfjQUZGBtq0aQOHw1HfzSEIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIop6RJAmlpaXo3r07wsLEea7IAQtARkYGevToUd/NIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiCIAiigXHixAmcfvrpwu/JAQtAmzZtAHg7q23btvXcGoKH0+nEqlWrcOutt6JJkyb13RyCIAiCIPyA1nOCIAiCaPzQek4QBEEQjR9azwmCIAii8UPrOUGEjpKSEvTo0cPnWySCHLAAX9nBtm3bkgNWA8XpdKJly5Zo27YtLSAEQRAE0Uih9ZwgCIIgGj+0nhMEQRBE44fWc4IgCIJo/NB6ThChR/YtEiEuTkgQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEHoQg5YBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQfkIOWARBEARBEARBEARBEARBEARBEARBEARBEARBEH5CDlgEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRB+Qg5YBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQfkIOWARBEARBEARBEARBEARBEARBEARBEARBEARBEH5CDlgEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRB+Qg5YBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQfkIOWARBEARBEARBEARBEARBEARBEARBEARBEARBEH5CDlgEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRAEQRB+Uq8OWNHR0bj77rvRvXt3OBwOLF68WPG9JEn4+OOPceqpp6JFixYYNGgQEhMTFccUFBTgySefRNu2bdG+fXs8++yzKCsrC+FdEARBEARBEARBEARBEARBEARBEARBEARBEATxb6VeHbDKy8tx8cUXY8KECdzvv/nmG4wbNw6TJk3Cjh070KpVKwwePBhVVVW+Y5588kkcPHgQq1evxj///IPo6Gi88MILoboFgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiAIgiD+xUTU58Vvv/123H777dzvJEnC2LFj8dFHH+Hee+8FAMyaNQtdu3bF4sWL8dhjj+HQoUNYsWIFdu7cicsvvxwAMH78eNxxxx347rvv0L1795DdC0EQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQ/z7q1QFLj5SUFGRlZWHQoEG+z9q1a4f+/ftj27ZteOyxx7Bt2za0b9/e53wFAIMGDUJYWBh27NiB+++/n3vu6upqVFdX+/5dUlICAHA6nXA6nUG6IyIQ5Oci/39uzAn8EXMCHVs3xXcPXoTObZrVZ/MIgiAIgjCBej0nCIIgCKLxQes5QRAEQTR+aD0nCIIgiMYPrecEETrMvmcN1gErKysLANC1a1fF5127dvV9l5WVhS5duii+j4iIQMeOHX3H8Bg1ahRGjhyp+XzVqlVo2bJloE0ngsjq1asBAOP3hCO/2gFkAxMWrcOVnaV6bhlBEARBEGaR13OCIAiCIBovtJ4TBEEQROOH1nOCIAiCaPzQek4QwaeiosLUcQ3WASuYvP/++3j77bd9/y4pKUGPHj1w6623om3btvXYMkKE0+nE6tWrccstt6BJkyb4dN96AF4vwwsv6os7LjutfhtIEARBEIQh6vWcIAiCIIjGB63nBEEQBNH4ofWcIAiCIBo/tJ4TROiQq+oZ0WAdsLp16wYAyM7Oxqmnnur7PDs7G5dcconvmJycHMXvXC4XCgoKfL/n0axZMzRrpi1Z16RJE5qcGjjyMyqsqEvxFh4WjiZNmsDjkbAztQDhYQ7069kBDoejHltKEARBEIQIkrkIgiAIovFD6zlBEARBNH5oPScIQo/k3DK0bBqBbu2a13dTCILQgdZzggg+Zt+xsCC3w2969eqFbt26Ye3atb7PSkpKsGPHDlx99dUAgKuvvhpFRUXYvXu375h169bB4/Ggf//+IW8zERqSckoV/5bgLT+45lA2Hp2yHQ9N2oYtSfn10TSCIAiCIAiCIAiCIAiCIAiCIAiCaNQUlNfgpjEbcdWotcYHEwRBEAQBoJ4zYJWVlSEpKcn375SUFOzduxcdO3bEGWecgTfffBNffPEF+vTpg169emHEiBHo3r077rvvPgDAeeedh9tuuw3PP/88Jk2aBKfTiddeew2PPfYYunfvXk93RQSbE4WVin9LXv8rHC+oq7uZUaw8hiAIgiAIgiAIgiAIgiAIgiAIgiAIY1Lyyuq7CQRBEATR6KhXB6xdu3Zh4MCBvn+//fbbAICnn34aM2bMwHvvvYfy8nK88MILKCoqwnXXXYcVK1agefO6VJdz587Fa6+9hptvvhlhYWF48MEHMW7cuJDfCxE6alwexb9r/a9QUePWfkgQBEEQBEEQBEEQBEEQBEEQBEEQhGkksrMRBEEQhGXqtQThjTfeCEmSNP/NmDEDAOBwOPDZZ58hKysLVVVVWLNmDc4++2zFOTp27IjffvsNpaWlKC4uxrRp09C6det6uBsiVKgdsGRiUgp8f8eeKPL9ve9EESKHR+GjxfuD3TSCCIgVBzLxfzN2oqC8pr6bQjRCJEnC8IVxGLc2sb6bQhCNlt3HCjB0WgyScijCjyCIk5cJ65Pw7vx9kEibThAEQRAEQRAEQQgQ2eIIgiAIghBTrw5YBOEP1eoMWLV2g9bN6hK6/R5z3Pf3vRO2AADmbD8OgmjIvDRnD9YdzsF3q47Ud1OIRsjBjBL8sfMEvl+dUN9NIYhGy4M/b0N0Qi6en7WrvptCEAQRNL5deQTzd6cpglYIgiAIgiAIgiAIgqWcqTrj8VAAD0EQBEGYgRywiEaHtgShV/BzkQBInCQUlFEGLMI6VU638UEEQZgirbCivptAEAQRdEh2IAiCIAiCIAiCIEREhDl8f3sogzJBEARBmIIcsIhGR6XKUCDLfS5Pw0uHWlrlxP60YirvcZJRVFGDWdtSUVbtUnzucnuw53ghnO7AxqLDYXwMQQSThj53HcsvR3pRZX03gziJaaBDnyAIwlbMbp+SckqRU1oV3MY0AtIKK3A8nxx0CYKoX4ornDiYUVzfzQgKCdmlyCurru9mnLTklFRRqXWCIAjCb/anNx75I7e0GonZpaaOdbk92H0scJsOERryy6qRYPLZNiQOpBejpMqp+fxIVinyTcq/kiRh74kiVNZQMB1BNHTIAYtodBzOLFH8W7aRNkQB6c5xm3H3T5ux/khOfTeFsJFLPluNj5ccxIWfrFR8/vk/8Xhg4laMXHowoPOrHbsIwgw7UwttO1dDnrvKql0Y8O0GXDt6HaW+JoIGjSyCIP4N/LHTuER7elElBn0fjSu/XBuCFjVc3B4J1329Hjd8ux4VNSSrEwRRfwwcswF3jtuMnakF9d0UWzmWX45bf4jG5V+sqe+mnLRc+dVaDPp+I7KKyamaIAiCsM79E7diR3J+fTfDFFd8uQa3/BCNEwXGATRfrziMB3/eihGLD4SgZUSg9PtiDW79IbpROZVHJ+TirvGbMfiHaMXnSTmlGDw2Gv1Myr+/xRzHfRO24OlpMcFoJkEQNkIOWESjo33LJsoPatNUON0Nz1x6vFbA+2dfZj23hAgFM7cdAwDM2W5szFLDZhpKK6TMPoR11h7Ktu1cDXnuyimpUxa7KU0RESQorTpBEP8G/okzXucPNKIo52BS46oL9skrpXLhBEHUHwXl3jlodbx9+7+GwJ7j9gUUEfocyioxPoggCIIgOKw93PCCdfWISzPez/6yKQUA8MfOE8FuDmEju481nmCE5Qe8updMlRP8jhRr9/DbDq/dMeYkC8QgiJMRcsAiGh0VqvSKDTkDlg8qKUcY4GYy+ZDhn/CHsLC6ica20oENcO4KY2p0uikDFhEkaBomCILwEka1sQEAEpMbkbqEIIiGgKsBBiEGgqMhbj5PUmzTFxAEQRAnPw7dfzZ4JMpxf9LSuGRHflsb1z0QBGEFcsAiGh1rVFleZL0BT/mkVirUl7F+0Z70gEtlFVc68eyMnVi6L8OmVnmZvS0Vr87d07Ad2BoQwSrJ5mrADliSJOGDv/bj+1VH6rspjQpJkvD+ojiMXZMQkusx/lewbaqzeJ7Ryw/j078DK8FphMgBq8blwctzdmPO9mNBvf6/mS+j4vHFP/Ehu976wzkYNj0Gi2PT8fS0GFNpw+uTn9Yl4j+/xzYKx8A18dl4ZnoMckqp/EhD4+MlB/DtysOKzypqXHhu5i4s3J1m6hwrDmRhyNQdOJZfzv2+vNp7vkV7zJ2POLmwanSdsTXF7982dkYvP4z/LYiDJEkNMtuyGY7mlmHotJiTrlQZEXxcbg9e/W0PZmxJMT44SOxMLcBTv+7A0Vz7yotUOd14YdYuzDsJMhyk5DWesitmSCsMnax/29hoRA6PwmdLQ7e3aUg0ZvWfPDfN3JoalPPvTC3A0Gkxts47BEE0fhbtScNzM3ehvFpZivyndYl4Z/4+v/dJ36w4jI+XNK6yd44QR6PM23UCz8/ahUpVUgazyNmtiODw0eL9eH/R/vrRFZwEvkusXs5MHx7Pb9i68YbAp38fxKjlh+q7GQRBDlhE46Nt8ybcz3kORGpF+YYgOc+Y4WBGYCm+x69NxNrDOfjP77E2tcjLiCUHEbU/03bHrpOVZ6bvDMp5Waerq3p1Cso1/OVobhl+23Ec49Yl/esMb4FwMKMEv8ecwNg1iSG53nVnneL72y4HECtnqXK6MWnjUczYmoqs4uA5dbD7fNZxcdGeNCw/kIWPFjcuxUVjobjCiV82pWDq5hQUVYSm9NIzM3Ziw5FcvPnnXmxMyMVbf+4NyXX95btVCVi6LwPbk/PruymGPDdrF9YfycXn/9CGtCFxPL8Cs7Ydw4T1RxXr7bTNKVhzKBv/nb/P1HlemrMbm5PyMGYV3wH4l03JWHMoG2/PM3c+4uRCnfLeiC1JdXNaetG/p0y20+3BpI1H8eeuE0jKKUNxhbO+m+QXr8zZg+iEXDw8aVt9N4VoZETtz0RUXCY+rUcHlYcnbcOmxDy8MGuXbeecve0YVsVn472Fcbads74IDzsJrE4M3wnklmBwOKsUADCtHh0M65PGEDAiYtmBLETFZeKTIAV+PTxpG6ITcvHS7N1BOT9BEI2Tt+ftw5pD2fhlU7Li8+9WJWDB7jTsOV5k+Zxuj4SJG45i1rZjDT7gkCXU2YDfWxCH1fHZmLvDv4DbfSeK7G0Q4SO/rBpzth/H7zHHkVtWHfLrNyZJ2O3he7/vOlZXgvtQZqnhecJOMvnfbjKLKzFjayomb0xGtcs/p02CsAtywCIaHVW1E2f3ds0B1HkG8xywalSflfvpKW8HgaY7LQyy0l8dwUGEFtaR5IyOLeuxJVqqnHXvUWNW1IWaSmdo55sezLixK4uaFZGevWQwM+qxGw02s2BpFc1hwcTNPOD6ygKSVdI4sjX5G5VXH+RSBqwGBascYOfUgnL/ZMCUPH4GrILy0DhREg2TQGT+k63clR6szFvpdCv2la5GJA9nFv97nOYIe2lIsrVoPfOHwhAFEoSCk7lEbDADvyiorHHrdSpCpLv8NzmdEwRhnvwyvhxR7YcOmNXdVrsacWrCENGQZFPCC6sfbsyyRSho14KfVITFjD3ntPYt7GjOSQvZMYmGBDlgEY2OEwXeTXCrZhEA6jK08BThNSrhVeRpbERplRP704otKWrUGWAC1fGonZsLymswe1uqfQtJI1LeFVc4ER9gRrH6pMrpxubEPIWR3s0IrGmFgSl6DmYUI8/GqAN27PpjcErJK8dfsaEpc1TldCP2eGHAJT8BILukSjHOjudXWCqLwPabHe0BvEpAUUkpNgW0XYZB3lkKymtwIL2Yc2zd0cHSaVfWuLGXiSpzMnN6I5rCQkqNy4M9xwsDXitYp7pAHYoBZbvcHgl7jhdq1mw17CaqvsguqTIsR2HHWHS5Pdw+8XgkxB4vRFWIHTz/TdRnH7Nvlh2OtGrZUX7XgnlvSTlliIrL/NeVtj5RUIF5u07ozrWS5B1bZrIIysduO5pvu1NnhYnzSZKEA+nFKK1SOv8ZjUtJkrDvRFHATn6lVU78vS8Df8WmafZf8vwY7DHmUTkesw6SwXa09fcec0qrkJSjjJptEq6v8imvdmGPBdn5WH45MsgozWVxbDoOZYZ+j5pRVIlUCw5KZo+vT3V1RY1Lka1APTyLK53Yd6LIL0ca0sN7Ka5w4mCGdk8XCmR5RC8qXTboZRVX2eqAB9AYAACXn7rRUJNdUoWkHOXey6zjYWZxJebt1JfNTgaqXW5b9vt2UFBeg8NZoV8HzV632uXG2kPZGn2yxyNh9rZUW/WoIqqc5p9XSZWTq3sLFkk5ZcgRBL1lFldanotzOO+vv9i5R5ffmVUHs/BLdLJlfa1Ib+X2QyZhx4FVmUbed4UioF7dtuX7M4Mi80qShP1p2j2oTNMI86Zsq/3Z2JIKJWaX6s5ZB9KLUVyp7MfM4kok6+gzTxRUWMrEVuV0YzeTvamgvMY2e11GUSUOZZZgL0feZ99ZM+Uwy6pdmL/rBD5ecqBe9VRm2mpGxtHTyeRUWs94bpac0irM23miwWeVUutxCKI+IQcsolHBCrk+B6zaedTJEYDVmwN/J927x2/G3T9txtpD5ksYXjVqreLfgTpEqNffyz5fjRFLDuLRyfaUk2hMcuZ1X6/DHeM2Yc/xQuODGyCjlx/GkF93KEqlsRu1P3ed8PvcR7JKcee4zRgydUdAbWRZfiDT97c6q5wZBn63AW/9uQ+/7ThuW5tEvDB7N+6fuBXTt6YGfK77JmzBHeM24WhuGSpr3Ljh2/W47uv1poV1VuDzZyOuxu2RcO3odRjw7QbuBtuhOtYOeBvWp6fF4K7xmzWKIPaadtwvj2dmxODV3/b4/r2OmZNP5gjwQBi+MA4PTNyKMauOBHSeV+bW9bsdj/e9RQfwwMStGLsmAd+vPoIHJm7Fewv0y6GFQiFqRP+v1uLmMRuRo5M5yo6h+N2qBDwwcSs++Gu/4vO5O47h/olb8fS0mMAvAooG4jFrWyrun7gVz820r9yRWdh3K6Ooboz5PaZUP/xxbSIemLgV83bVOUXbmQWipMqJQd9vxKu/7cHIpcEpC9NQuf6b9XhvQRx+WC0un7QxIdf02Pot5jjun7gVj/+y3bb3XYbN0ClSYm9MyMVd4zdj8A/Ris+NHLB2phbi3glb8NSvgcmhd43fjNd/j8Vbf+7Dr5uV5aG+XnEYD0zcig9V86PdKOQaj6TYhw5fFNzSZaOWe+9xhMWyyld+uRaDvo9WBAwYveHv1coJyxh5X0RZtQsDvt2Aa0avowwyKlbHZ+PNP/fi9h83hfza14xehxu/24ASgbGKRZIk88fX4zN+fMp23Dthi/D7V+buxr0TtmDb0YZf9rmhcsO363HnuM3Yfawg5Nf+aV0SHpi4VbcU8rrD2QC8erWB321AoY3ZO0n+bTwGqf5frcWg75V7L1bXoOfUfvWodXhvYRzenrc3mE2sd978Yy8emLgVE9Yn1XdTcNnnq3Hb2E0hd8K6/AvvdROy9Us3/ee3WDw7cxfuGLdJ4bD+5NQdGLHkIC7/Yk2wm4rXf4/FAxO3Ykp0suGxt34fjbvGb0Z0Qm7Q25VdUoVB32/ElV+t5X5/9ah1GPjdBo1Dhx5X1r6/2TZkMv9lUzLun7hVoZfyl3fme2XfF2bvxpfLDlkuZ8rq7Nn15MuoQ5bbwu6trM7Kf+/LwL0TtuChEJQZV/vspuZX4PYfN9keHL/ucA7u/mkz7h6/mbl2Xc80NQgsYbG61jcm0SA1rxy3/BAtnLO2Hc3HXeM34+YxGxWfXz1qHW4as5ErU9W4PLj+m/W4/pv1ph0dX527R6Gjv3PcZtwxbhNibbDXXTN6HW7/cRPum7AFv8co7WRfLat718yoyt6Ztw/vLojDrG3H0OfD5QG3zQ5EzqmBOMgXVTjx5d4I3PBdtPHBfnDll2vx3sI4xfvZEClh1inXvywwlGh4kAMW0agoY5wOTu/gTbcoy0dORlLq17MDAGiUiv6WzUjN9yqxl8Zl+PV777UDm/BFzgVsneBAaEy+C6W142DDYfMOccHGimA/o9Y5aOGeOgOoXUrArUfzAACHs4xrRptlcWy67+9ASs+MWm59M2oVWTEx0wYHLDli4EC6MqOY2Y2IwgHLhufLOn7xUl6zc4RdGbd4Z9lf63i1XvX+hWKzuj1ZaSBg5+TGFq0UKhbVvr8TNxwN6DxsVJMd9rio/VkAgMnRyfi5tm2L9/q/xoaaozlKB2/WEO2wwaV50kZvnyzYrcweOLfWkXVHij3GsmYR4bac52RiTm0fb07Kq9d27A9CtLM8rljsnLvTCuqy4szZHnyn64bITzrGr+W1854Z2f33mLr+i0m11zjOOhLd3bc79xi5rRmq6Emj8SLLYQcDVMYfy69zIPp2pdKB+JdNXocs1pEwGLC6T5fbo+i3uLTgZiOQnc7+2OlfUAbb/0YrUlSc1/Fq1rZjhudlMzyTA4MSdn4NpXMaK/OrM3Bzj2eallnUcMsQ7zN4x7YkeR2vlvghO9qRyfVkQDair7EQZGgXk6O974s8//BYuk/53TELGRmMUM9f/0aH0sZmkErKrjNUsvqYnFLjAB1/5gmgXn1QLbH8gFdmm7rJ2KEnVGwPsXOs/EobOeWuis/2/b0rtU4e35YcuvbKbfh1s/Hzyqp1XJKfcTDRy2bEzpHpflRsOGKDflqWjdfZYAdYuk85J8zebiwDi2CdJfzRw7PLkdUM2Av3eHV9oci+Kmrb5iR7nQPl+TqV2QtWMdl22rU0LuEmYzURQkQjUiobJSRYedA7Z4iCWJPztM4/rM3VbKnHtYL3ccORwMaF2qbxx06lbmkqE6Bl5imvOBj8OdQM7AgTZaENxEHeTllZj4RsezIbBgtWzrerQgxB+As5YBGNCjn7TniYA+G1gpG8EWCdEzq3buY9XpUVK9A0k2bnbJ4CJ1AltZk0lQGdv1HlwKqlnr3G2JrLRqWzjLBLIAhGFiB27DWWkkKBlm5SOFM4HH4NNbYJdhipPIo2ab9nP7OtBKHOadRfsRukUCmx2X4Na0Sb5caOnRnOwhz1W+LGX5qEK8cb+8oFc2my+9WyosD6t9BQFG+sgdjvBFgG/wbsdaKwo2ziyYyV/gmmXG5GlgsTaAmMxkswXp/6eicVqes9EqoDlPVDCdtjHVo1te284cyzaCTJU0JGMDLRmsEtWVsrlJkW9NvZGB4xrTuBY1fgjhXC/RCW7dxfqvcy/0bbTGMzSLE6Kfbx0RxQR0PSh9RXW6xMLVZKmQWDhjZ09WwOrFzjj67DDv1IQw0aDyRIGdBm3LVCKLtE1DS7TQS8OZ21t1jZF1rtT7nSzskA731h5T3evlahX6/n982pygKl9ywbi50KUFaVaSZYgwJxkGcfW33I9w0FVsZtTOODODkhByyiUSFPmk3CtWaJooq6bFeywKYWKNhJNy6tCOd/vAL9v1qjW/+YhScIFlc68eyMnfibiaDgKTMCLZfHCj9sWQnAq4x6b8E+jFubyG3bPyYyd8Wk5GPotBjLNd1FSJKE/l+tQeTwKGQUWY+QMcPaQ9nGB+mwZG86npu5U1Nb/PlZuxA5PEpTYk0Na4SoqPGv5rosWIkEo30nihA5PIpbguT3mON4cfYuRQQgq+hYfyTwyKCB321AOvP8+n+1Ft8xmQiO5Zdj6LQYYaSZ0ilH+73L7cFln69G5PAoS3XGZU4UVCByeBTuUJX7CFSZwc4nDiijLM1u4thIE3ZO2JSYi6enxWjeYwDYmVqAodNiuHMSGwUxd8dxvDJ3N2pcHkQOj0Lk8ChFKm67FJF6Z/leVWaJnW8DkfM3Jnj7x8y8cTS3br7KsDGKv6iiBv83Yyd+23Ec/zdjp250dkNhwLfrETk8ShG1ZMT3q47gg7/2KwwaLnfdmBIZOr5bGVg5Q5Yqp3Yz9FdsGp6Zzi+59cU/8fgyKt6Wa3/+T7widbXenL8lKU9RUkvtdLtgd12WEocqG13fT1cicngUcpjU+1VONy78xPs5by5gUZaSqnsmz87YieIKfgmACeuTEDk8CqOWHdLMKawsFBWXiSV703mn0MCTdz5avN83XmZvSzV1nl+ikzFseoyifEFuaTUih0eh1/tRqKwxl2UwUIortDJScm6ZInKV/W7U8kO4ecwGDJtubn7iEZ9Rgqd+3YEle9MxdFoMdqkyG5UzskRJZd3fe08U+f6OHB5luvSaWvHGU7TpldPUo7za5Xv2sixjV9au71cdwW1jo/HUrzt876W83t80ZoNmbkrKKcVTv+7wZQENBEmS8MFf+/G9qmxrldONF2fvwh8xyuhLj0fC+R+vMHVus2ujxyNp+jLHj9IdTrcHr/62R5MVNPZ4ke9vtyDFvSglvpF8YTZgZMHuNDw/a5cp+TncpAa4ssbtm0fsMNSzBvoTBRWmsgvN23UC/zdjp6XyLMEgzOHwyVNsuyOHRyky27KY6WXWaeLCkWtQVk+3+fOGo3j7z70BKZbLql14buZO/BWrzaS2ODYdw6bHoKC8BtO3pOC13/boKsOzS6oUme1kuX/5/kxEDo/Cq3P36I7Ju8ZvQuTwKFNjTA27L1GPu9IqJ56buRNL9qb75rBHJteVqTmery9/bKnnTJBm8GsE+PGj1DzvnneHH1lSiiudiBwehcu/WG35t9G173G6QO4wmnKLK5wYNj0Gr/8eiyd+2Y64tCIASjl2cnSy7/Ng8fGSA/hmxWHfv/1xzrDTjKTezz8/a5cmy/UPqxMQOTzKttJf2SVVGDY9RpNFWsSXUfF4f9F+v9cznq6ogCk5FIoMWOsOZ2PY9Bi/ZBhA7PTBVjow6/xwUe2+66hJ3a8eI5cexKhlh/DtysP4eMkBTN2UjNd/j1W0V9brbEnK88nL6mPspkiwLwSAFQeyfO0IBcEOILaDYGaC/mrZIbxlIKdYGQm/x4gzC49YfABv/hHrG2/+ws41q1TZYk4wWa/YR3sgvRhDpu7A7mOF+PCv/RjD7J/Y821OtNYu3r4rlA5rrPxkRKAOWOwYEe2/RGxk1ie24sSo5YcQOTwK25PzsT+tGJHDozDwuw0BBY6L5BDRXtIM49Ym4o0/YhV9sJGz5vrT7uiEXIX+ziqRw6NMlfa2SkWNd/8xh8m6NmrZIYxcqi2DGZ9RgiFTd2h0RoCx/McL5qoQyAMy7PrEjuptR732wmP55Xhn/j5T5W4DfV3V75VeedlyCzrwYCLv+yKHRwnby+o6RU7AZhzkedn2PB4J7y6ssx3WmJTznG4PXp27R5HNee6OY3hu5k6/bZ12klfm1RVfO3qd6d+w4yfQOdosP65JxPCFcQHroVYdzMIz02OE2euIxgc5YBGNCqfLO4k1CQ9TbOiKKpSCg2wcUAtpZ3Vp7fv7vglbUFHjRnZJteka4rxJ9Kd1iVh7OAev/x7r+4y3qf5uVYLmMyuwmY2GL1Qa3uLSijFvV5rGIWLsmgSsPZyD136LhRGL92YgOiEXr/1mri+MOJxViuwS72Lx/iJzhkKrBFre5I0/9mLNoRxNyYjVtSmh77JQ09hf5w85DapIwLp3whYA/JTI7y/aj5UHszGPqT/PGkZenL3brzax8Bzy2PI6b/25F9EJuXj8l+3c329PqVNSDzy3i+b7ZQeyfIL/2/P2Wm6ffN14VcrlQB2QfmM2+g4HMGljXXpwPcUWyxdRdRtgdk546tcYbEzIxf8Wxml+8/CkbYhOyMVLc7TPjj3HpI1HsWx/lsJ5hCVUEa3VTCpotqRmIALn09O8/fOBCQeDXKbkAK+0lr+MXZOIdYdz8MFf+7HucI6ipn1DRS7X9O78faZ/M25dEn7bcVzhyMaWIWE/Z/lLYLy1i7f+3If1gpTVUzen4JdNKQEbt/PKqvHr5hRMiU72KVb01qonp+7AJkZxOFPlbPQ/Zl1mVR3xmSUoqU3f/RHjSDtn+zGfs9zb8/Sf2bvz6+YK9tVeezgHP6zhyxZyya7J0cmITsjFy3PqxrA65f4bf+zVvb7Mj2uU8k5WcZWizNyIJVqlEY8vlx3ChiO5Ckeuz//xOtVJkrZvg8X4WvmNlZHUc6/8XWWNG5M3JuNobjk2HMlVPEsrPDl1OzYl5uGNP7xr50OTtim+Z0s6FDKyrdpQKZeiNMJMVswp0f6VK/mFKXOyrLYshh3yniRJGLcuCYezSrEpMQ+P1joLvFAr0yTnlvtKBMuMXBqPTYl5+I8JedeIo7nl+G3HcYxbl6RYy/6IOY6VB7MxXHWPMakFqDDpNGh2bdzOMfCPXGrd8XTZ/kxExWXik7+V7yYrx4nkhZ1MWRYWo1swm4n1nfn7sDo+G9OY8gEimoSbU1nMqp07JCnwPQKgNIiYjZx8b0Ec1h3OUSjVQ4Uye2udPKV2zH7zz73c35t5dE0ilAf9cbR+1ElfrziMRbHpin2GVaZEJ2PNoRy89ad2DX7zz73YcCQX0zanYOTSePwTl6lbukK9Jsgy+8u1Ooao/ZlIFgQ5SZKEA+ne8frAxC2W74PdH/yoCsaavNF7j2/8sRe/185hrAMmby/CsvJgXbBTQ42iDlX2m5fn7kF0Qi4encLf8+rxQ62OJq+sRmjAFDG09j22It+z/L7zuE/m2no037e/WqwyKj/481a/zm+GEwUVmLXtGCZuOOpz+jHjf9X39HZBa5N6PK87nKORreT3aeg0flCIVT5ecgAbjuTimRk7DY+tqHHhl00p+D3mONL8KPcF1OmK5jPlzJ+bWXftUOgL/m/GLmw4kouPTe4R1LBrLytfrGDKsZldn0tr18LnZ+3yqy0yOSVVmL4lFZOjkzFh/VHM2nYMX0Qdwt/7MhTOdbJe58mpdQ4Af+/LwAYbgiT9gadfshvWsJzth0Oxv7D2gNYWMtiYdfC3SpXTjSnRyfgrNl23JJ3V9Yu3DqfklWP29mM+fT473gLhBZUueeB3G3x/s44d7y/aj81JeXjw562Yu+M4xjP7J1Y+mWxxvzlv1wnuvitU/LzhqE9+khEZw10BOCAByoCPL6P4+l0e6iCqyRuTfY4ok2v1149N2Y77a2XLlLxyhc7WKrK+Rk0gvrzfr07Akr0Z2Mk4GPFK37FBZGbXrqHTYrCHkXnNoHbEnrDO2NHIKgt3p2HNoRzf3qG82oXJ0cmYviVV80w/Wux9v3h7N6Ppg7evW76/LrCY59TGrqfsfPP4L9sRnZCLAd9uwILdaT5dox6BOjurn3PzJmKH2S5tmwd0Lbt4mbEt3/pDNPeY7kwlHVHGc38zNm1LzlfsN5MF+nw16w/nIGp/JkYvrwuU+PCvA1hzKAfzd/k/Z9jFF7VzT3pRpelgXTaDWqBztFl+WJOAP3aeCFgP9cLs3Vh/JBejlh02PphoFJADFtGokBehpowiXpKActUELK/TrHMAALRr0URzDACNIUcET8DJ53iNByO9Ibs3zCxWKmEqnfwFiOfRboTZvjCCbZO6vQ2NgvI6Q76ViDR2w+yv8lfeIKmjRqw4sJQwjgisjSrQsohmMIrUrmay2/RhHCBl2OxjJwqsjxNWIcn2WaC6+GwmStMBh0KpY1Z4Y52DeONKr+/SOYpW3nVzBUoAu4wkRuNQFHVvh0JX3T+hKmsI+Dd3NhRySs1FSYgMy5XOOoWH3hxi5/PwR/UZaPQwGwUj1d6mlew9eg4XrLKDjTpi5xXWuSbbICo8m1HEqNcangzCg83YZCVLmugcQOBrTCUTTcWeO1SZYwoqtH3Hm3sBbb/nmnzP1BSadOAFlO+oP6V6AHPv1jGDDCgiCpmxV2Fj1KE6Uk+W8VMZZZL67ZczhJl9H3Svz4xrdp4pEoxLKxnbzMqKvPlFtN7rUcJRYKuxGhFoNPdaHaqsDC7CrIHM7PpnFnVpN6NybYq2+JntIxBY2cuv8jAmZgz1McU19ZvhQm0osYI6gIsHuzbpRVerxx6vVLOorWyG2wx/MmAx1ypRzVOsrMFbW62sSXaWn7YTf/Y8/tyJUbZSPRRZkf3UE/mbeVMtr8jOfmoDpzOI0eE8w6loXr+Ycbrq1LqZ4js7hyBvr1psYk4IBCsZ7tgMwYGWvy1jnjVrmAtlCcJsP7OtKh2w6j73xxgvYyXrOm/d13se5SYyRZh12m+MsPqqUJaGZPcO1pyqgtNGdr23sx94Y11t8wgFrIzJ05/IzQxkjlHLM4D5IA874OkD2T0Ta5MKdC5lx4iVvQxvD8eT1dj28fo1UALJgCUjsmnJVAv253aj7j6zwddWyCtTji32mamfqexA5o8jNu9tKVbYjrRHsGtuoHJ/oLpCtbys9/43r+dyslZowTiSsWM5slNL39/+ZmxS71XNvisiPRcgdjwNJUrZ1dy4YvswmHscHnatywXl9d/3hD00nhmKIFA3aTaNCPMJExIkhREPqBNg1YuPaO0pq3ZhxYEsHMxQbh6qnG7MZ7ILeSQJ6UWVOJbPeBEz51y4Ow2ZxZVBSdfPZvxSC/isGMIaqNjPzRo0eYak8moX9p0oMm1wL692KVIMy0qGnNIqJOXURQAdyy/3RYEWVzg1/W+GrZy+PlFQYUmxokhhrurbf+IyFEZGFo9HQkJ2KfLKqrmbrsTsUizdl6Hbb7JMqdbF8gQlkYKZPX2oUn3LhiWj67EbJZ4AzhpyrKSNLa50KqJkAKXipaLGhT3HCzV9ll1Shf1pxuNM7UTJPo8tSfnCsl8irG4SeUfzziEaW3ZtSqtdHsRy+lEmr7QGcWneuYG9pl3X33eiyJfyNpRKYiO9nZwpb8aWFIVwLc8HZvB4JMQeL0SV043M4sqAyr+y44Btu55RSmFYZn5zJKsuUknP2GynTjWQR5tXVq1I71xW7cKO5HzdMXgkqxT5zGZGdJ81Lg/2HC/knqupTkaWw5l17WH7aV9ase9c7OdGfZmcWw5JkrA/rVhjMDOr1GWPMrtK5JZWI5Hp2yRVFJs/CmXWEMhmtXEyfWwmYqja5fbN8YezSoTrNIskSb45pbzahUV7tJncRJtztUFFrbBafyQHsQGWmgaUCgU2uEA0RnNLq/HJkgNCo57D4ZWv4nX61N+IMHb9Nyt6uD0SdiTn676jIsOWwqij+i0vUlYmv6waS/amY8WBLM01D6QXa0oLsPcya9sx32/sSF1udq7jHSY3q7C8Bocytc9Tfiesrr/s2upye7BoT5quDG303rOvhpl9Q25ZNQ5n6b/zZg0ubIr85k2Uc/TBjGKh7HY8v0LTp9UuN3YzJeUkWJNDZENC3dztvwJ/c2IeYlK0pSfUsGN0IWd+M4LtZqfbg48W71eU5i2pcmoMbWp56WhumaFTsRnKq10++dIMW5LyNKXhXG7vGi4KjDIzqtTrUVJOGde5Tn0ut1tSjB9APLep9QZWS6my82FKXjnyGTmUXav0ujK7pApJOWWQJK9synNOU88t8RklKKqo4c6jRhzJKvW1U35H/C3zsud4ESpr3KhyunX3LGZw1o4Zl9uDNfHZeH7WLtS4PMgtrdasMwfSi00HbBjtl83oQUTyiToLNODVQcjylmjOFrXocFYJlu3PRHGFEztqSxfZGXThdHtQWeNWGCA3J+Yhu6TKK6cx+/StR/MUz3PPsUKsPZQNNTUuD5buy0BqXjmKKmp0+/JYfjkyiiq5/VKjs85vO5qPJXvTheWhiipqfLKWaP5is58ZBWyy+8sqp9vynMgGQJZV171brD4mv6xacV63R8Ke44VcnY3oPa9xebA1KQ+7jxWiTKeNsceL/HKYZce9QyBf5DF7C49HwtpD2bolNQM1xAWq57AjQ6cegbyvR3PLsWhPGiRJgscjYXtyPrYk5XHvOaekCrO3pSrGKnucFUeoyho3Jm5IwvbkfL/az8o/eg4m6nPboV6Sdd9sP7Dv0J7jhUJjrFVnPPVeKPZ4oSLgVcaMvtPtkTBza6piD718vzjTpxXk+c1MYLokSdh7okhjh2DXTXk+UwS5+encIesDjGDHcpXTjeIKpyK7Lat7NnOfR7JKMWNLCnfPo7ePBbz3Onv7Mc0+hnddyaApZsZ8RY0Ley3Yf2S9YmF5DQ5nlSC9qFKT/UheX0TzhYgZW7yZ79n1I5h6YbXOxZ9yyZav6eft6Ol3PB4J+0yWlj6SVYrskiqUV7sU5dSNno/R+OB1nfy+l1e7sPtYoTCQrcbl0ex99XQQhzJL8U9cXXZ9tU1Qr3whj8oarx5At4QsM3c53R5umcgalwc7kvMV89Ve5rmwY1nhiGdRPyfSBZo9DxtMqZ5nzAYbutwerI7PFsrg8tyrtvsl5ZQaBreyQ2nXsbp5xOX2YPa2VKTklWv2K6xj6O5jhZrxqt43Hs4q8SsQn91z6cHTRbFtyCquwj9xGSonSXLbOVkwn5uVIBoAsoDZJDzMNwNLElBZw3eW2JKkLksgdlaQUzKv++8AnNnZm6nnznGbFCWYSipdvpqzB0cORqtmEQqj4X/9TA1vBtb4oM5WwG5ObvxuA+I/G4yWTZWv98UjVyF19J2G1+FFHjwyeRsOZpTgx8cuwb2XnGZ4jgd/3qpItSx761/55VoAwJbhN6Ft8wgM+HYDACBl1B247pt1KK1yYdEr1+CyMzoIz31Apfh/YuoOrHrrBpzdtQ0Ar4Bz/TfrAQCHP79NN02pTFRcJiY84f1bnXlBLj+UOvpOJKs2ERnFVb60ovNevFrxXY3Lg1tqv8svq8awa3txrz1ubSKe6H+GxtiVkF2G87u3VXz25bJDGHHX+ZpzsKNanSUjLq0IfU9vz712IFz51Vqkjr7TULHCpjr/aX0S3hl8jvDYUgsOWK/M3a15v3cx5XJKqlx4YOJWjLjrfDx7XV3f3zdhCzKLq7D0tetwkU5ZA2VEk0eRPe+Tvw9i2f5M/Kl65nrwBF+97QpPGcMz/i4TKEns2pSujs/G6vhs/PeWs/Gfm/tovh82PQbJeeX484WrFBsiOxywDmeV4t4JW3DRae2w9D/XWTJ+ezxSQJtlo1rpq+KzfSU+lx/Iwp8vXo3UvHLffGBmrp22JQVfRB3CDWd3RnSCt9ze3o9vQfuWTS23lxXS2bXiV1Vpp30ninBxj/YAlM9IdoQsrnQqSjnmlFbjAsE1PZKEML9yV9mDvIG6/Is1AOrW7rf/3ItV8dn44r4LMeSqnprfJWaXYvBYZTroiho32rfUHIp35u/D3/sy8PpNZ2m+0zOmfbnsEG48pzP6dG2j2ej9uDYRb99ytkL5ZSarys8bj+KbFZxU3368akv2ZhgfBOCKL719G/3uQJzRqaXQ6GQF+ZyA15lehlVKRCfkIialAFf26ig8zxu/78WKg1m486JTEbU/E+FhDhz96g7day/em463/tyHvqe3Q5xAMS1699WlnyOY+eVobhmeme4t6XLos9vQoqmx3CGCXSpYmUOUmUbuz5nbjnHnHQccuHr0WlTUuLHolWu45/DXscgfA8nYNQkYX5vK/5Ube+O9287VHMOWb2FhDWbs/GWU3r7fF3Vj7j83nYX/3uqVQzYn5mHIrzvQtW0z7PhgkO8Ydg797J94bErMxfRnrlSU7fMXs06LvKAJ2Qmw/1drUeP24J//XIcLT6uTY96ZH4el+zLwxs198NYtZ2t+n5pXjshTWmk+Z5VTI5YcwO8xJzTHWLkHVlE0Z8dxPMWZh1lF3tJ9GVi6LwPLXr9eI/fKtG/ZhPu5GlZ22pVaiLO6tKn9uwAPTdqGNs0jsP/TwYrfVLvcGPT9RtS4Pdj03kD06OhdDN78Yy+WMyWOJMmabDNvVxq+eehirDmUg+dn7UKvU1ph/Ts3mv49y5BfveVkFr58Nfr1FM+LrHNUVFym8DgR7LJ2wccrUeP2YM7240gZdQccDgduH7tJUz6tRURdn+SUVuHmMRsBmJOD9Lh/4hYkZJfhpycuxV19uwuPi07IQ+fWzX0ld9a8fYPvuX/+TzxmbjuGIVedgS/uu0jzWzNBK0cYhX1WcTUGfc+/P7Wxv7CiRlPS7YfVCZj9bH/FZ/tOFGnKkT3xyw4kfHG7Yo3Ugx2XJVUu9Ptija99Rs6LXdt6Mwz1/8q7R//2ob54d0EcrojsgPkvKdcMp9vj21fHHi/E/RPr7u+09i2wZfhNptqbwMhhqaPvxMaEXAybvhM9OrbApvfMnYPleEEFnp4eg2YRYdiUmIeP7zof/3cdf98twxpUyqpdvpJVH9fOgaxsfvZHyzW/P5BejLvGb8aFp7XFP/+53rCNHo7MzTLgu/UoqnBi/ktX44pI/jsuMqKcKKjEztQC3+9OFFT4dBCpo+8UGvZ4Q8Pl9uC2sZs0n8945grceE4X/olMUdcIp1vCRZ+uUHwrz3G/Pa98PxbtSceltfsWwCtf89rz3oJ9WFwr20aEOeDySPjrlWtwqUqnVFrl9OmfeON10sajGH67Vi4BvOV3ZHj7tatHrUOl043Fr16L9xbsQ0J2GSY8cRnu7Huq7xjW6eyLf+Ix8t4LudcClHJxWmEl3p63FwnZZZj45GW446JThb9j2yMzYf1RvDvYe1+sI+gvm1Kw/kguknLK8POTlyE+swTj1yXhgctOw/ePXOI7bktSHp6cqpWXAGXfy0wa0g+3XdhN06ZzR6ywvDawGTAW7E7zrYEdWjVFaq1O9OW5e3znnRtzHCNqyzpt8HPNNWxTgHqOSRuP4t3B5wSt/N34dUl4naO3YZEkibsG3jbOW6qsyulBq2bhvvJr79x6Nl67SXnOK2vXjV83p2DDuwMBKGV1K6UAz/u4bk4wq3NmWcmUCB6x5CCeujqSe5z60YlkWlH/8HhvYRyi4jLx4oAz8f7t5wEA/mFksI+XHMSOlAJMeOIyAEqnGSMnIrWDDdu/si6pG6f01t0/bTbUhd82NhqJOWX45O+DSB19J7Yk5eHPXfp7ALNYCV6Zt+sE/rdwPy7v2QELXq6TO9juv3rUOs3c8dafezHhycssty1qf6ZPx68HW7r1P7/HYnW81vlXZv2RXN1z5ZRUKfRPOz8chM5t6jI8yrIzwF+bL/t8NcqqXRix+ICiH0ZwSrsa7dPM6J0en7Id+9KKMebhi/Fgv9MNj5eH6WVfrPbJHOFhDuz+aJBvrZy4PgljVidg8AVdMfmpywGYcw75dGk8Pl0aj7O71lXTcJtweMsXBMUavdvq7guB/xVGLzdXdrLK6fa909uO5mOqStfLMnNbKnYy9hEZtZ0wrbACt/0Yje7tWqBN8wiFHc/o8fy9L0N3rubJu/L7LvNQv9Px3cMXa47jyRaso6I6ePmHNd5S32EOBwad11VhE0wvqhSWAxTx0eIDWLgnTfcd+GPnCby/aD+ujOyIAed05pZl/GFNAn7ecBSvDTwL7ww+B8UVTsUend3Dsf1t5Ciu1sNdNcprn4sIV/a5Wd3FSKa86MWfKW3HUzen4COOHVLNtyuP+ErNbnz3RvTspNQ7/b0vA2/8sRfnn9oWy97w7p1OFFRg0PcmbCjMO/vM9J24/cJu+HlIP/zn91iFvubXpy/Hzed1BaDsw48WH0CLJuGKZ/nszJ3YkpSPkfdcgP5ndsRtYzchzAEkjzIvp6r3XEyDFcftSM7Ho1O2o1Orptg94hbFvWxLzsdn917ALdUdEYoJiAgJ5EpHNCpqfA5YDt9iLgGocatLEHonWlao9X5ufI0DjBf5UVW9XFbpLHu4hirVJSsjntGxzlJ8fZ9TNMfm1yp37MqGJEdpmY2m1qtzDwCHMkoUHtouj+QTpjYIDG8yG45ov9/ORDyz3tT+RNLqbRK3J4ujz1nB5txubRQlnvTq3WfVRlGrryrf07nd2vg+UztT8FArcmTlcbCwU3Fk5VRa50pg7SHt2Jim6jO5xKZRNAhrpHR7JI0ScYeJTAQsdjgkWVH22Z3y/dct/LEnp4JdfiBLYVywMypJNig6OTvA+y/lb/gCvX+j5/U3sxmUx4I604ER07ekAlC+o/6U4QS8xicZdtqfrnpu7LWUmfPk6ysdQZvprG92PeLT2rfw63fqy8v9v6pWOfbnTr4CkZehUqT8/Huf9zlP3HCU+70e8hyu7qdfatcDK6WsAPCdr2B+rKujhqwQe4J/fKBDQJEBS6VIYxXpPFbUfh+136vAMDPHzt/lVaSKnK/0WKeSTVgHz21H69ajwgDL17AG9z6MotHv4CdHnVOKSL6yY73gKdhOaa11JmUdPEXv1dJ9xg6CbITgbo5yUQR7zRUHvWMnu0SpoFXLIkZKdfWtX3eWVi6XMdvVnVpp+y6r2NtOeS+knsvkfmP7mEX0HrPrNet8dbHASd3oVWvBZJ6auTWVewwvU6Re9uC7L+Y74Ki3Oew8spYZ72tq5UNehHlZlcvXp2zmJlaZB3jfE39kuSV7vXunQLJcyvDkXJaNCfrfG8G+x6wzqnzbaucrAOjdtq5PErMDd9KVSag91+JY/b3nigNZivuOSakb5zO3eTMVzNl+nPtbq6Vs9MoUq4cGr7TrpkTtGN8gmF+sZAUOpETIfSrDybh1iQDgM9qw5ePZ8a9uN29siNiuylQmG6r9lYEBICalwNe/s5kMFSLYeY/NaCbPgUb7542138vl/IxgdVI8+U8ucbNGx8CrzJyqPAc7N8SqMnuInKV5o1/khL7iQGBZUdjT6pVg5OlaeO+vOksLa6STn210gvZ9yyhi9E9+loIElPsuGTmIcVNCrm/+kud/HvL8JILdm4Q5zM+JgL6DvHodk4MrFu9N9zmaqzPEyjK5Wl7y/k4rs5mR48zCjsk/mL3dI5f34B4/g9n77rEhMy2vK+2Qm81kzPGX71cnGB5jJM78sCYBUzfV9aWeoT+VWe9Yhwo5QNYqCxjHF7PwshrzUD87UT9YyZImG9NZmXe+6h5Yg7uVTHDqY9l5a+Y27/WyBFlHjUrNJaoCq+Q9tUwXlS2FxegdkHXqTsV4aM09Vl531foJnozGfqZur1nMjhUWPecrwHjOS1DJx+rAbpanOc6DZQKZkCerGMmEZqYvOROlWYc8eTyw53Z7JEXZvCmbvDqwlQfr+tJKEBjbh2Z0zWpbnozR/durReejHtrs/lvv+mw5xFXx+nLZbIGMcVoHpe71QHoxJMkrx6vteEZjyehd4m2zZqnaJZrvebIFyx6BPnPqpmRFRuziSid2WrTdAMDCPd526a19c3d47yUmtYDrfAUAP9fqnmT56oSqnDnbx26FPUVfRhC9Ah1UwQFmdRd2mI9Yu+deTpZB+VmzmXvN6mXV+jlZT6PW17DrgroP5+9WzmeyTXHWtlTf31ZVPaxugJW91WNfnvfyVRm2ttXuiecI9q7h4dZ0FUTDhRywiEaFvBFqEh7mm9AkCahxKWdJeZFRp4s0s6joTW/sRkP+q0mIHLDYBacTY9Q6pXUzzeQu/9vuqdrfdNYtVJE3YWHKhY0VCoyuwCvfwG6Q2d+LMkbooacMqdGp48veQ5vmEarUl0z7TJaMk4WFbu20EU1qPDoLfbAJ9fX04AmpwrIjBu1mx5kdZYe4gq/F07otpKG1o808ROO3SbhDmT43CGmheffUlRPxBwTuHBRh4O3AM55YvaSd745yjqn7XK9NihKEgmP0hpxVByIRnThOGmZQD0W1w7EocwRPocpTIrZkshjxlDxG66H8E6GC0qZXxPSyHMB4E91DoAaIJsyGUt08UamGQAiWwzA79Kwa9NWw7zI7Vp0u//razC376zBr5OR/5ilaRbuZwABRmS4WRQY/P7tc9KwCXT/0staYXRt5Y1Uk66tRvJaKeZ7/A5G80LYFP+uU0T2wpxMdy2u7P2sKG5ACqPYDgtK8aqw4r/gj2/grD7Vtrs0cYTTWAx27ovPr3YPCmTuwy3PhzRnq9Vcp95jvBKtzh5V1ybTCW9BeK2uJn1VkAWjnK/XrwMpoLhvmXUDbNzxZIpASWmZ+q1xDrN+M1Z+0amYyM6bJ86r7kB1H6lOIhiLvvkVOB010ym6bQZHxRUfXwpureXO0GflTnQUAsKd8FaCvY4pg+ioQuVOhi7D47vm7FohObbQvVmNnySZWRmHPKrpCFVOOzeZ4NB926DmCoSsJ9PrsRxFhDsV7a3ZNYp+Xv/tEf+Zks3sZdZtE64U/DnJsE/T0xoE8efY+jZ6J1SGmdko9VSdIzmj8ynpZdjyc242f5VY0Xag/t6sUrp0ldc2eUy3rReisqYHqK9TPRp2UwMr9my5BaGKw8e5KMb8z47mdYA9q6XqCbjTMEKZx0rR/vOjJELol7xSynvIc6t9p5XutjdQjSbrrpJH9wWis8ublQGQvFp6MB3jnV+Vc7Amazcqf/Ze6LWwfs/KukROwyEFLPV6DKWv07MQpIaEDb80yu283W16ezRil7kM9tby/Q4R9BwJ5l0RzgrrCEdF4IQcsolEhe8o2jagrfCRB0tSYdXsk5JVVY5EqQsyMAJks8JQHoPDgr/PyD83mmV2s2L8d0C4WgTpfpBVW4OlpMdicmIdZtZE1QJ13b43Lg5fn7OZ66arrNAPeiECPjqKTVTClciKGAW8E4XMzdypSt8tsrY2a356cj6dqU9gD3rHx587jeGHWLkX0kCRJeEdVLvLtP/fC45G4pd9kMgR1lYG61PmAd/yxgk4OUw9YJABpHbC8/1Zv/lccyMT/zdipqE380zpxWZzZ248hcngUHp28DS/O3mW7UZsdi5HDoxA5PMpvIU/+VWmV03cuNoOPxyP5Puehzt4DKPuejUw6msN/z4dNj0Hk8CiMXn7Y95nT4wFPB8NmMxi/NhHvLdjnmw/UEcxj1yTi3fn7FPOFBO/zeWXubu5GRN2XViLxzGwUJUnChZ+sROTwKKyJz8bQaTHYmVqAm8Zs0BxbVOHE/xbECZ9teFiYpgTh7G2peHXuHqw7nI0np273PTt15gtJ0n+u3uvXKN5tmcnR/Ewf6rb85/dYfLPiMPdYHrxMFewcon4WkcOjFHOKv1HVZuTrT/8+iMjhUfhtR11EODsfmB0lx/Lr7pF1aGbRG0dOt4TskipEDo/COR8tR1ax9+8LP1kJSZKw9Wie77luPaqMQrdj2VSvve/M36cYQ80iwjBhfRIih0dh4Hcb8PS0GGw4ksMto6eOADXTRqN3TH5X1IdVOt1Ysjdd8ftAsj6YVQpZmZe/WXEYzzIlkTwe4J84bRQaNypcdZ3Lv1jjGwfsvAoAx/Pr7lv9DPRkMT0+/fsgvua86zUuDzf7iBl4GSnYzfY6JvPEbzv40UvxGSUYOi3G8Fpspssp0cl4YOIWSJKEmFTjyL3I4VGauYfNJiEaAgdNZvBQo85ios7YwjOaqvV0LrcH//k9VpGt0oxizm3BAGHmd+y6ZKYcApuBQn11t0fC8v1eWa1QFeVm9n3lHZVbqlw7RYoakXFblIljW7I2o6geRqVI2TlAvZbmlVXj8i/W4Lqv12t/p9M1oqhSdZYhNkKdfdZ6CmL2uNd/j0V0Qi6e5ryrHknyy1lR7VBY4/Lglbm7MXv7MeSUVuGZ6THcOcasAXLezhO+fc6M2syaZhi17BAen7Id/T5f7ftsU2IeErK1WYz1xq1LYr1R6/5cHJvum/vZeSmnpArDpsdg7aFsJOWU4alfd+hmP2Mf3UeL9+O7lUcUY8UjKVW3clNFWWJ+3nAUb8/b6y1Bwnz+0uzd+D3meO05+PfLZkgzNj6afNcFh8nZFEVzCYueEyF7L9mcLBnj1yUp9oasrgNQ3ud+JkqZN/+sPZSNYdNjkFNShYTsUjz16w7EcjLQsOcsr3Yhnbnmq3P34OcNRw1LgbPR7WrM9LxLsb+yLrOzGafe/nOv4fFsadYB327AS7VlzNVM3piModNiuGVo5RZ/+vdBjFLJU5JUJ/+oM4CL3t+MYq3sOXEDX6dgxgFr5lbvvo/Xn+waqyfz8tZzntFl/u40VLvcuODjFcL9Iy9jCZs9YoYgQ6MZ5GZWOd2aPewPTPah5QeyEDk8CjmlYh2SCLa8MtunW49q1+yyapdivvXXYMz+6vN/4vHM9Bjc8eMmTBNkwhYhz9vLdTLUZBZXYtj0GG52e8CblWPotBgMXxTn+8zhcMDl9uDu8ZsxfNF+7u/YbHxWemFLknff+unfyhIw1S6PZk2ww6D5+u+xmKzKWBqXVoSh02JwKNM/uZwlcngUiiucqKxx4/lZu9D7g2WK73ljZFuOUt/MZkMpKK/B7Fq98I9rEvH2vL2K3x7O8rbZycmeaRUHvBkpRPtHHur9T+TwKIxapi3rpRbxRZmNLqjVkRkZfdn3tMblwVO/7sDC3WlCvV1SThn6frpK8dkBQXbNeydswUWqY9n+5WXaZNGbB3iZ29Vyy74TRUKdltFW6YlfdiApp1Rhl1C35uFJWxE5PAp7jhdxzi/hq2XK5/7dKv5eQI9Fe9Lw3MydeGn2bvy84ShKq5zGmY0BRbUOM6iHydwdx/DS7N2odrmxP60YT/2q3Ffo7Uuszrdq1POTev8oGhaztx/Dy3OUeumdqYUYOi0G3686wt0byWw7ms+VnUXXeurXHZAkSbHn3sfJmCPi+9UJ+N+COF1bnKiHjeRL9bO0qqdLySv3zV07kvMxdFoMUvPKMWr5IYxcqi0xppZhXLW2pNd/j8XUTcpKKp8tjcfW2rVKPU5W18rgW5LyMHRajCablfx+J+bUfe72GATsGrzn6w7n4OwPtWW6fW2Kz9bMoUb9D/D3K2pEjuEeSbke/Lg2UVHyUARrk3hx9i7f54cySxA5PEox/n/bcRyRw6MUmZzMopZz3/qzzobAjmejvQlPDokcHoUHf96m+CzTxFzGu5Y6i3nk8ChIkqRooxm7s9PtwXVfr0Pk8Chf9mAWddY8HpHDo3xZ+ZS/1R7Pzq3q88nVW2ZvP4bbf6wrt56cW45UxjYi28gqGdtwTEoBhkzd4ZN1ZNiAYnbNfWDiVoW9xSjr7RGO/gUw1rsRjQdywCIaFYW1SpOMoiqFwfiLKOXmyuWR8BVvw2ViEyjXDjZCnltD5H+lUMRrDFiqG5MFljidUgl6vDs/DhsTcjHk1x2KOrSy0uqv2DQsP5CFjxYf0Pz2kcnbNJ8BSmVRmMOh8HReyaSNFKXvfeOPvVhzKAerOalW5TIjj03Z7iuXCHg3hv9buB+r4rMVzgp7jhdqUp0uik3H9pR8ZHKUkYBXQWzW69rtkYSCpUghr1aey8JM93bKyKOX5uzBusM5eGxKXT+z51RvtOVU8TtSCrDyYLawLJe/8Dyyec/IDHLTWUPbyKV1tajVxl41RQZptv/ze6zvb9HGllcKxO2RuMaNgd9t8P09ZnUC5u1K86VafW7WLsWxf+/LwPzdaZpSFSMWH8Cy/VlCQxGbVponkLZpps2QAJgz/BxIL/Gls35u1i5EJ+Ti4UnbhI4Pf+46ISzD2STcgUt7dFC0dcSSg4jan4n/m7FLUTLyzT/2Kn7LOm2KlB3Tt6Qq3m0Z9rGc0rouuot9D2KPF2LpvgxM3HDUtMKUt5li5xCjDC1mUqL7E8xQUuX0GQw++KtuI8mW1bqmdyff32qHUvbuX2feB1lFoY5A0TPqRSfk+taAapcHV41aC8BrBNieXIAnfqlzmGP/BoCjgeuVDdfzphFhvrkkJa8cGxNyMWz6Tm4q9Zfm7NZmzDRQ2xtd3+ekzTnPG6p3ANA3JgbSjrrz142F+y7hl/MCvAqLiRuOKsp3uSUJr/0WqzmWp9hlN9aZxZUKo5u6NJqevOVPtoX0okrM2JqKnzcc1Tgb/7mTX4LKDOr5HFAqT9i+GidwiH5y6nZhSSPWMKcucbXneBFXMS1Cb3MvWkOvOasT93Mj1Iq9Kapyy7zxoVY6rYrPxtJ9Gfjsn7q13owxXOFI5edulm3KrT9E+/42E834JmNwV99mk/AwvDzXK6upy8CYfV/NGE+triF6BgdeubOOnDKIgNcoq4ee/PFl1CFu+UHAuFSKUckWtePexT3a+/7Wc2Zix1JGcRWGTosRKgj9Mbqqy5cujk3Hsv1ZGLH4AD7/5xDWH8nlzjE8eJd/b2EcVsVnY+6O474SWGaYHJ2Mbcn5mlT4Q3/lO5+JYF9X1imHfUfYuf7TpQex4Ugunp25C19ExWNTYh5e+22P8PzynJGaV44524/jp/VJCoPNrRd05WaoflPgFPP1isNYtCcdO1IKFFlaVhzMwvu1Bv1DmXwlaPsWde+Eep5Sl+oJNGJedsaV55Ixq8WGR/1oeeM2Ld0nllnZ9/kZxjGbZzt8duYubDiSi5FL4/HM9J3YlJiH+ydu1baXacevm1MUGUej9mfi6xWHFVlseHy2VDwPmen7bkwGXdYpxyys8Vod8Meja1vl+FjBlFlWz23RCbn4qbYUpJqMWjnnV1VJlMziKp/842TmwuJKp3Ddmbwx2dRngLnyyp/87d33/c0pG8OWf2WNf2p440qkU1mwOw3lOoFzvPInYxgD/twd/suF8hD7jLMe8tr78KRtlsqOAUoDJGvk4pXS/V2h5yrSXatuOLsz93P1a/Pr5hSsP5IbkIHx5bniuX3E4gPYcMS7N+PxwM9bEZ2Qq9A93N33VCw7kKVbDpZFby5QB+49OdW7V+U55qnlcDvKB649nKNxpLx3whZEJ+RqnDX8Zdy6RMzenorV8dmmMg/OS66bi3kOIiNq9cI/rEnQlJ6S22xHRnSHAwod9KSNRw2D23iy5+Ro7Xymvu9/4vR1NtGJ+s46X6jmgE2Jefjv/H244Wx+OfJB32/UfPbwJL7+nOeQYqVP9Y598Gft2swzprPl4m46t0vduQ3W2SPZpRi5NF4hrylkNUnylTrmcSBD+45PWH/UUrljAHh73j6sOZSDFQez8PWKw8Iy7QBw2RntfX+zejYzsPo3APjwrwNYcTALC3en46FJ2r5ms7TkqJxNArUvGY2RKkFA9ojFB7D8QJav9JpMdEIuxq1L4u6NZJqEO/i6WkYKLWHWrk2JedifXqx4b9k9s1GSg2qXB3/uOsG9powoE+PiWP3SduqMYZt1gkR4sDaCR6d49T//N3MnJm9MxvQtqZrnrcbt8WD94Rz8vS9DY+dcfiALT0zVBiUDwIuzd2PDkVw8OXUHV+ckr1usY6PHY5QBy3gwGjlUqYMIzTjtfLxEa2dUw+4dWK7o2QFOpt16JW1Z/Svr6MLOezLs+Lc6P8hUOd2Kd1+NogShQT+ZXQvM9OUyju3ik7+1zoLH8iuElYxERMVlaoJ7WNigEbVzkxG88oWsrlEtN8jOqCMWH9A4urOlMWUbGRvs/9afe7E5KQ8fL1b2Cxtgo+6OAd9uMHEX+vgjgxMNE3LAIhoVsnL93ku6G6btzCzSCjZ2lUySzwYEJyUpD0W5G9W9azfU3v8bKXpECluRE5JMSaV1QzFbtzzc4VAYuPLK+cYYHlZSlrIbQ3ZhrxYodaucbqHhzeWWTCtb3JIkFJhEAqo6JaW8GWnehC9YihxVjJroj5JZhMcjcQ2AZdX8cXf/padpPuP9XuSlL9ossu2x8rlZnG7J9DkqdRTBgHJMshvLUo7xE1C+NzzFkkiJakYYNupPo/awRISFoQtjXNDLIKKeXyoUmaX4v+NlN1PDKj7Y22cNkmYym4hgFd7VBnOrqJ9Y/ClVJgmazzpwsEYl9RrAjovjnD5VDxt23F/KKKUAb6Y6UXQSL3KfxelRZnH0ByPFX5vm+qnLWSTJm+lO/ZkepjPZCA4zmxLZxBUs/6JfZEfhd1bKLfLWuXJGkRFIinF/3lV2k61ucqGNax9g/f3Vu76hotSC0U4vS4pozlc7DvhLgeravGGj7rfSKm2/mEn2qFeCw+x6zTr5sW23OvbU61bTiLr2aPvE7Lxh095CME4fu6KH4t+8+VQUnW3kgKyXYl0vopVnVFaeV79P1Hs81ilbL327WQWmR+WAdf6p/FIqRrDrY7bFCPtWAmUzAJQZ9J9ZsmqfEVu6Qq+P2Oqoom7OK617D+TAEKAuo5Le/Ci/3+z+SV3SRtE8k+9OpdMtLr8sOEcbpiykej/Xr2cH9eGmEF3rRKFSRiss928NYU8vKo+q5/wo2s/qLYG5ZdW6RlK264oqnNw53+i9zCk1rzvg0aIpWyYuoFOZoqnORXhjQO0YCXifpeh5sE5XTSPq5gm3R7JlPbFyDnUGLkApqeo5xPK+E40Ff/RR6jXZX+RmqjOLiDiWX6GRr61UmTKSS1KYKHvJoKTQud3amL+wn5iRkY3eYd4e4uIe7S2tdYHqgGTUcri/pbuNkJ+byFHdKgXlNcI9udEtWK2CJr8LTsVezE8HLM5nRmcyK7tb1d2XGIw3XlYOAIjs1Mr0NXjO86J5z0pGfKuOgry+Yff1lzCBDWb6ce+JIuW7wvxpdB9mytH7Q4GOLMUGbmSYdPSSx3h3QbnG0ion917YKdLI4dwqRvNTswj9kshmHK7VOBwOrr6CHSanqfqoxuURjlHeHVzfR+vUqDfGRXIXT0ZhaWJjCV0ZVpftFNhQZNwepX7cLpwuba96swiLx4sdtk71+DejQmP3iiy9TqmbV5sJ9jS9OrdSyMR6sO+KnkO/Xbg9knAvJn8v408GLB5m7stonfNdU5IUY8LMultuEGTMPiveuqAnR/DWTlb+tLJe8mD1VvK+ducxpUOhsuRhcNYt4uSAHLCIRoXsmNGhpb5hNb2okj/R27hXltc7f2SS4/kVGDY9BusP5yBRkGpQkiRExWVi/q4TKK5wKrJXsAtdan65L5WijKjM3BFVtgJRpLSR8ZwV0oyOldnGlKAKcygXJ5FD1NHcMqyJz1Y4M4iEA57jC5vef39ase88IsXfmkM5qHHz+8Tp8ZjeHLk94sWXpzidu+MYtjIZggAgraACKXnlQieDZirHrBqXB7tSCwwNtU63B/+dt8+UQ4tRdIbLI3ENdCKZmick8o5VpwLPK6tGQnapwruch2gsqh0rNN+7PdhzvFAYWVftcuuWrmIjbI2yD7AbQXV7eanAE3PKfKnNeUZNkeAtC8a7jxUoUvtLkoR9J4pQUePyyzki9gQ/Ui0i3KF4T/UckMIcDiRml/oUdewcKNrkGQnu6t+6PRJcbg9+23Fc4Wgk91eV040VB7JwNLfM99/eE0W6Aj57/iqDvttncC63RzJMGw94Mz6wCiCRAwVrmPt1c4pvDVBveN0eCWXVLsSlFak2JN6/1VmY2PGlVmJ7JCAxm58Sl7cGbU7MQ43Lg/zyGmQxOi1R2Vkjig0casIt6k7Uc7PZpV2en9Q43RISs0vxlyAzgqav5YxZkiQsRcCDfcYHM4qRV1aNTQbRunpKCd6cclSQFY93rGLMmOjEKqebW6KouNKJtMIKHGfGR0J2KdIKxeOFdU5Xt80uoxt7viRBFgd2/qtxedcXPfQCCqxSVCm+T5FBzCPVrQ2yLCVJEkYtP4Txa71ZONRzEf88yj4/WhtJuDo+GwfSi33zDwtv2eWtdX+rsqNuPZqHrUneOUV9X0aKY1kWFvWH1ZJ8akU32w3q6Dq2j/JrDWzynCyvGU63BzEp/DETl1bk+zv2RBFijxfC45E0MrAkSUjJK0ecoJyDenlaHJuuKRdo5BAlk5hdiqziKiTllCKntEojL8nvnscjceWcuus5fW3fzzFoyXO0aG1Vf/ztyiPYWRt1yz5q9fps1pBa7XIrZJHM4kokM6VnvH2gnya+oLwGh5jozt2cueFYfrlwnlOU3vNImMdktY2wuujpcCSrVDEr6YnRVczQExnGD2QU+2ReVj7gOZkAyv0Hb51hsw4mZJf6tRk/mlPG3YR4PJKwL7OYdmUWVWH2tlTffk89jtQZAUWI1ib1fcdnliCzuBJTNyUjOiHXN4YlSeKuMWXVLsSkFBiuP4C+vKO+L1k+0etyNrMtoM2wp96r8vabRvspPSX3iYJKxB4vNJDD6/4W6SHsRK+/eEYx0UMRGa7Yz9m+cXsk7t6KN8fqwXOSTMwu5TqKuNzeMel0e1Dj8uDDv/ZjGZNlRs/xdBen3DIvQ6NZtiTlocrphtvjbZPdjjNGuhIWXsAkq4+JzyhRONGzY/TDv5QZDHYfK0SNy4NDmSUoKK/BRibDZUR4GPeZy+uVyOFSgvmptLjSqbtXMePUyMpgZh2lnG6PpaCEYzr6Lr2xoB6HHma+jUsrUpRNVaOXkcUKvD6RJAmzt6Viyd50FJTX+LJF6PWfaI+hHo9qGVCUscIoQwW7nzYKlhLB09VmFVdh3q4TqHa5kVZYodl7m8mqAvDlmeM6uogalwduj4Q5248p5ruiihoczCgW6rzMlNlS43J7sPVoHkqrnEJdrZUgEatt4PUgO7b09EKiE7LrUVJOmW+/o3cfJVVOzDYo16THqoPe6gJW5mcAvvdaLqNsBrlPRHpkUYCBfPtOt0eYobqs2oXfY45zg5X00JufAO8+aPqWFBzPr4DT7cFP6xKxlcnyZPZdYhH9Qm+edbol3z5NJiWvHInZpdw9KE8fHxEWBkmS8FdsGlJVc5iRo4+r1gagliczLAbHmIHVu5ZXu3SziR3KLLHsAGsGnq3kRGFFwBmwjAh3OHCioMKnN+M9F00WOMG5FHK9oI8kyfw8yc6zRoH0gLeSTpEfDooy5dUuXV2IIoicaY8kSZi9/ZgiCYNVeVa2eSVml2JxbLqiL83KYJLKASuvrMYwO6Uo45dsf2PvY1dqASpqvO+HrB/Wc8blB3vW/R3o+N2RXKCZHyQJmLopGavjsxGXVqSQSXn2tdIqp+U9F3Fywq9dRBANFLl8RkR4GFOCUDup5pXVIK9MuzCanX9dbg8iDDQHvhKE5k6p4IZv1wOoK3e26b2B6NGxpeKYf+IyfSXT5vdKUygz2TTYvPI08sR/Sutmis3z4LHRiP9sMFo29b76T/yynds+o0wRrEf6Td9twO4Rt+geDyjL4jgcDkXqcN6imlNahZvHaFM0i/iUkyKTvcbawzm4Z/xmrHvnRmFU/287jqOtIGuK2yMJ09hqj/Vwxx/A35yplWqAt5zBoth03HFRN+551BEdY9ckKMqQiRhfWx5p4Z40pI6+U/dYXtkIlj93Huc7YDEfhTnq3jszERSbORury79YAwD44r4LdX8rcuRwuiXwKvXlllajc5tm+HjJQfwecxzPXBvJ/f03K8RlPzYm5CrqgT87c5duv2aV1L2P7Hs2d8cxblmfcWsTMWF9EnZ/NIjrwc+WsGBxuSUUlNf4aoCvfPMGnNOtDf6KTcfb8/bhgu5t/dpci0pTNAl34H2mtjqvXJnMicIK3FJb7mnnh4MUaZBFQjIvDbAadnhJkoQnpu7QGIHkPnx6Wgx2pGiV/F/cdyGGXNWTe/4f1ybirVvOBiCOuJGZtysN1/fpjLsv5pd6+22HsVKptMqJG7/bAABIGXUHHA4HPlminOeScspwVpfWCuVfYk4ZzvloBX57rr/mnE3Cw/DAxC1IUDlO7TlehLO6tMEQVUprRYph1fubWVQpNJDxlLZDft2Bey/pjiV7MwDUOZCqlQGi7H5qXv1tD9b9d4Dwe70Iex6a98Hg9ZC7Q56f1PywJgFfrzjM/Q7QKsQPpBXjmrNO8ZVKNIusjNp9rMD3vhsxWqddvM28yJDMU6zP3JqKey/xZjs0E/n87MydihKlMvEZJbjua6+sFP/ZYJRWuXDrD9Fo0zwC+z6+lXsutvR0UaUTrZiJn1dShCUhuxRnnmI+Wnl/ejEGfR+Nzf8bqPnurnGbsOFd7+cf/LVfN/U54F85UkCZ+U5mzvbjeO+2c7nHCx2wPBLm707DewvicHGP9ljy6rX4aV2Sb75v2SzCtz7JcxEPdVa90moXVh3Mwgu1zvCf3XuB5jffM2W1KmvcaNE0HB1aakvfKUum1q3Lr9zYG93aNVd81++LNb51mKdQGjw2GmveHsDN9pqSV6675vNQvzPsOpacV46ckip0qc1MyB4qt/OenzYjObcck4ZchtsuPBWTNx4Vlsi456ctvr+j4jIRFZeJj+48D8sPKGWB+bvS8N7COGGb1fLYx0u0MrTaGZ5HdkkVBo+N1t1fXfb5aqSOvhOToo/qKtFkGXv9kRz83wxtST7ZmX79kRzNd4A2U2ZxpRMPT9qG3R8Nwo6Uujnm3glb8MOjF+P+S08HYF7pOHaNsiRYYYUTN43ZiN0fDUKn1s18ZXhZ1Iq4fl+sVsgq7Fg5UVCBjq2a+tLVt22uFVzZ5zZ6xWHF3KxX0sAqg8dGo0ubZr4MJW5JnEUns6LuuqJSigczSnDzmI3Y9dEgTSlumYyiSl8GgSu/qutLWc5lL8/OB7O2HcPtF9btlfSeJnsPX0QdwqOX99Ac88umZFzHibKX70Nm8FivHDtz2zGseXuAximcV/6Mh6gMmlomSckrx9Wj1vn+/fOTl+H2i07FHztP+Eonsvx33l6N7Hy8gG+UE5Xx8LZDOYbvGr8Zvz9/FX7ZZM7BDAAu+GSlYm/041rlu6QuZwvUOaiKEO3XZe6fuBW/DL0ct5zflfs9+y49MXWH4Z7YiLyyakXWPb3rqZm+NUXzGU++0nM6Y8cb62DjkSTu/Hz3T5uF5+KhNhYez6/by6WOvlMxTr6slcUev7IHfo/Rlv3+aT2/VDPAL5UrCr4zMvoA3rJyQ6/uiQ4tm2rGnYiKGpdPVyZCfjyi7Dc8eGvN9d+sx+HPb0Nidhnu/mkzWjYNR/xnt3mP13EUfvDnrTi7a2vNfs7bNok7fm4asxGpo+/EHzu1z4S9JzPcPGYj8sqqMZez1wT0M2DJetZjTNau52ftwq/DrjC8LqszMMPPOrqxgd9tEL73D6lKwsl71Z2phXhksv5ea0p0Mm46twuuOtO/8t4ys7alYti1vRSfTduSqtEXrXjzer4TJ7wOHKJHwY7H/LJq3PrjFsX3IuPubWM36bZbWXJO99C636jeZZ4+6PpvvHvC2duOITWvHKXVLsR8cLNPvm7bvIkwiz4LT3dxw7frcaj2vVPzS3QyFuw+ge3JBfho8QHfmLn+m/W6gQrxfjji/bo5BaOWH8at53fFKoEMbkV/tzg2A8NvN5+tlZdldermFDx25RkAtMGORnhUVSGOZJfinp+2YOKTl+Ha3nw5CwD6frrKdJvVRCfk+vadVpH7nJVBjdhyNB8Dzu4szLQi2s/Jc/Qnfx/EbwI58MJPVgKARsY7ll+OnjoZ1ob8qi/TrD2cg7WHczByaTyu73OKxrHJH0dlSZK4+gH23VZ//crc3Rq7E1u+zwzhYQ7M3JqKT2vLUrP3LfLBke0oo5Yfxq+bU/DYFT0w+sG+AMwnFwiEW2tlJxFv/rkXH915nu3XfWjSVsR8OEjx2YT1RzHu8UuFv/HXiZZlU1IuXph9DBU1buz+aBA3WOfKr9Yqx6wo2Ir5W8/HymzmozvHbfZd93GBbZTlAQP7mBEf/HUAaw6J9SvsvBrLyPX/nb8Pi/akYwSzBpnVX8h2C/VcU1rtwlO1dg9eyUoeLk7Jysd/2Y75L10j/I1IHnxg4lb837W9cGbnurnsi6hDirKbf75wFbJ1sqXysrex85BRIgYjkvPK8dFfB/D1Q30Vn6tLg8rwsuvdMW4TTqj23/ll1eiks2ckTk4oAxbRqOhaW+Kq1ymtGAcsZT1ymRac0m1mSxDK2U30dNnyBsTIqUTO1tX39HbCY3hKWtZYqHYiMEKOdrnvEq3xP59xDLKiNGJp3qRu6hBFL+sRHuZQKMF5kWwJWfpR5CzndG2DP3fxlUkscqYwPeeJVfF8hxan24NTVUY+EW6PuFyh0+KGhlcmDNAats04X1lFr3wE4DUaGDk53Hp+nVGE966oP5mr45iyz6QxQ41IQStnlvo9xiuITt+SavncvwgcE9h3hCVW5SwpkyzIMAN4x1NaYaUlD36PJCElr+4diqk1Ps7f5XUEOJhRgiMmI7vMEB4WJiyjqIbNJJeoyiATyBaP7R+3R+LOm/IxPOcrQGwIUzPoPO2ao0aU+QgApggMV+zrlMGU0ZXbrXa401sbeM55PTu15Crr5chpTQlChaJN+d0BHcWiyJjndb7S55DJ2u8peeW6il2RsVhkjNOUIDQYjUZrv1GGuTM6KZ2uo2uVX1FMlgArrD3Ed0rgodc2M5v59rVyDS9TEesQbnSqh/udznW+AoDOTFm8/LIaX1RjaZVLmJadHfNWMybsSM43zGzHg5cBgHUGNnK+CoQcQXp2vUxVPDnGI0n4s9YgJ6+zY1Yn+L5njT16z7RdC61B/LtVdc5MagcWAApndTl71wOXacsVi5i44ShX3pcRKZF3phagUyut4kOv70Ql59QyhvqSiUxWJH5WCu/YlufH71YlaI7RY9a2Y5poSj0DNyBea3lOP3ocyiwxbWD7dZPWyYBFLuG2dB9/DpSNOP8Ivo8T7GlS8yvQXuXUx76XgWZEUWchZqmoceEBpvy23rKx+1ihIsMST3nMNlXtGCsKLvGXa8+qM4559zX8xndoaq7/jEoqWcn8qIbNHmAlkjuTkx1h+pZUS/K2nPXMqKQJAFysowtQY2T0kOcL0b6JF7hwOJMvX/XScT7m9cXq+GzT5Sr8xcgIJpLlWP7cKZbp7YjqZzlqkP1O73JTOXMjT4/QRCc4kHU8YIMy3B7JtjJsLOqMyDynBp7zlZ0YZUmTmbXtmNAIzqPIRMlqf8ryiN7p0ioXNiZ4ZXg2473Rc+Pt54DaspMCcVYvMMJsuTi3R/LN56sEgWB6yI7YrOGdzWrYEJENiFFxxvtYoM6B/bIz2hseK3rOczg6CV6wXkxKgW/8qMkqrhLOG+wYVme/CgRWVjA796id81vryKL704t9Oid2v3XHRaeavBZ/3hBlED6SXYrtyVp9i1GW2K1HrWXTBeBzjhQ5XwHWShxZ2YN6PBL6nt5e8zmb2VWhazMxX0jgZ6L5Kzbdb8O40dqvzpjMb5V1LujO3wMu3+/dk1gtXy/3pcj5Sg8zmU3NwssqZca5mUerZtr9ODtm1GYDo6B/M4SFASM58yIgHqOnd/AGe/y62St7sU7JdpV/DRTWTsezdfqDqOyvbgUIG+THf/Zl+mSbjKIqU89ddFVFEJNOu/0JNA8Fes5XgPKeOjMOOov2aO0KZvUX/7npLADaueYbJiC3hU4gDovHo91n70zVn4/0MnRP25KCPl1aC79fHZ+NxTo2FUBb2pSdZ9TjgGcfN8KMnVmmvFopX1zf5xSN8xXgrWJlFpFdkWh80JMkGhXyBOqdZL0zq4Q6Zyu2NCFPCDYrP8iCol593rpU1Prn+u+t5wAAurfj1wUH+AJGIHp0OZV+uJn83xaQDTOBGivCHEoFk1FddCM6tNKPglXTXMdYJypDoOdUpcYjKe+PxeqGRrSXY4Wzc7u1sXROu3B7JG6ZL/bZsX8blasC9A1I/mYJEaXftiNbgEiBL3rfA3l3rPzW5VFGIRmVbwyUJn6WvlHPn2aVvzzY/hF1lZFyxOxdRJjoT/3NrMkL1SIyfFp9J0RjSORspJdq3m7jla8tnH6bLoiK1muDqM9EGQp4G3UzTtj+oi156P23v/Ocv79TY2aead9CdsAyOlL/XHoKdrZ7w8IcijVPXb7R6Pdm8Pdp2hAYqBjHV/bqqPs9i2htEymdJPCj0NySeZlT753jvRPNIurkLb3Sl0Bdu/UyJ/DQcwQXtVcki4n6VJIkXxCI9lzqayj/zd6P3njxdyzxbt9IvhHNX0ZZP8yeh4dRFll5fIjWTp8MzpyG3feJluWm4WGa9UuUhcpfRG32SPp7SRZ1VClvz6EnV9iZAUt9fUkS74EEiTcsE8hp2Geo10dm1jcJkl9jwsxv1I6AehgZPeT33oo8KZrf9K4VaPSwv4j20fLzNTP3+LM2+ItRQJKeUz8vEI23jrduFm5K1mPP5xFkQ2IRORfrob7f+jB1WXmEVuQKM2PD5Ydjm+h4h4O//vubecKt88x1HVRNXk8dxNGplXZe08s+YUdGDR6B6BCMqAu8NdsW7/+NKioA4jnW7JLeLCIMNYL+dro9QuMd+xzs2kMCyrnLrIyoPsqsPKOQU0zOQqL32wGHbhZDqxjteXiYuW9r+kDzbXBL/HK16mNkzDxaSeLPBd7P/ZMtjK5rFABnNL+L5hFRthL5fGYz7sjo9TW7t+Fhru9Do3OWcXskrtzCBp+LyqEGgsutzcjDton7G537C5Z+0yo1jKOoWecY/68lfmfsKNvMjkWz87To/WB/r/cO1dfexV98exumv41KyJodq614pWBUvzcrI0swXifUGNmh9M7m1tE/yD9WB4CGM/ei1vfxgkXtRN1WUb9a6cJubc0lASEaPlSCkGhUyAtpE0UJQvhqR7MRPjwh+OlpMRhwdmfDzD7H8ysMU7P/vTcD53Vrq5vlBKibdOUNC08YzuV4o5tJoSziv/P3ITzMgfGcVOuBGI195UFUUWrPTI/BkKt64ubzjKNRZdhIN57i8UlVKSw9jnBKF+iht4iLxobLIxkKQTJuj4TkPH5UotXNWbwgWpktA8kr3WCGe3/a7IuuWPb69TifieyZaqK0RGJOGS6vzVjAwsq77HhbeTAb1S63wiCrFor0FNjzdvmXSeTKL9fi4MjBms/tyBawLZkf3SZ6ygWC0pRGFFc6FaUOjfB4JBxksgl88Nd+LNmbLsz8FCi88kVmGKq6p4Jy/yOh2Gw8T/3Knz/iM0rQ5ZzAhdjPBJFWLKIxcDCjWDjPSJI3MvON3/cqFKZOjwctoN18v79oP+7qy4/4nMWUfZUZySnVCgDHBOU7PZKEpJwyDPpeWw5WXY7ELnilp0RZC9mSc2qi9vOzpPwVy59HePXdwxwO4Zq5PbmAW/rWLD+sUWa5OZTpncf9mecqalyYsD6wLIiSJGHXsUK8M3+f4bHyfj3JIOPDiMX6/aOXdZDVKQyZukMRnd3fRGmAwWOjLZUU8nisKxQA4OW5e7ifRw6PMn2O3NJqX+ktXlY7UZaH3YKIM14JUABIzinjZir0SJJCKbpM8O4A3rHWNEJrbJu9/Zii7LMM65xrlCXR6fZg4oYkyyUAeSv5gfRiXHhaO6ECTiSLiZzXSqpcmtJIn/59EOd3b6sp9afOJPDr5mQ8/st2fH7fhbrKshUHszRl9PxFlJXJJ4MJmpHFyQjEY+HuNPwTlyHMwKFm7JoE7l6H5dOl8Rh2bS+hgbOgvAYtmoYrokALK5xIzStH5CmthEoup8ejUS5vPZqPZ6bHILO4ym8ZWkaSgA2C9dDNSdUvwuX2KPaIPKX35OhkXylxNXYH3fzDZGN0S3zDCgAcKPRed8UB40wo9+jsrd+Ztw9JN5bh1YFncb/Xm5/ZbEyio7Ym5Wn6ND5DO2dll1QrMpCaJdFgPQSsGXZ2HePP7zJy2VErRkxRZh+RgaWoogZunvE0AHebLUnKbAuibCSVAgcsjwSEO4C35xnLKqvjs/Hegn34+sG+cDgc2JlagPHrkvDJ3edrytHN2paKIf17mrwLLcMXxeHW87th+O3nYnV8Np6ftQvndmuDZa9fj/zyGnz41wHNb/TkhFXx2ZrvUwWyupoiJnvY1E0phtln9UpQsojKLKbmlQfdqMHDSlYrKw4mFTVuzNiSgp067+CDP29FlzbWnDW2HNVmGgG8sjSbdVTGX7unxyOea/TmUbMZ99nS0TO3HUNHjgPWwj1pGPPIxdzf9/10FXe8jFp+yFf6WlTaUA+XR7IcECa/Y9882Ff3OLnbZm8XZ2pnWXMoG8l5ZcgxIVPVuDxoGh6mKTOWkF2GyOFR+OuVa3DpGVp9m8z/Fu7Hyzf25n53OKuUm+EG8OrHZIZdE2nYTjM8P2sX0pk9yNvz9uG+S05DWJgDybll+HRpPNIKKnDrBd65EgCSckox6HtlSS4zGbMBbxlsmcOZYlmuosaFe37agqScMox+4CLuMZ/8fcCU08rO1AI8rCpRyYO35zEKxNXLcigjX/vw5/ySiSxWnMD6fLhc+F3k8CikjLoD65hs2wnZpZgcnYw3bu4j/F2l083VX0o6MqUR6gwyz0yPwaNX9ECT8DA8O5NfBpulXCBbyAiDOAXPTp5r91usLKInDxo7iQV2fiNk25oVPFJddQkWvRKEdnDXePG+4o8YfnaxxbHpwsyvRg588jFXjVqLgvIavDqwN/anl+D7Ry621YEzNa9O3rMzi+mMLSmaz95dEMc50svQX2Ow+u0bNPY/K2Qwds17ftoiPE4uy7Y4Nl1Yrl6SgC+j4iFJwNW9+WV+HY6GmwFLhPedlhT7MaOxyEtiwePblUd8WTlZKmrcGDY9Bjee3dlE5sC6do5cqtXvRg6Pwh8vXKX47I0/9mLfiWJM44w5Fj3ZM7e0WrcfZm8/prGXbmb2mer9bViYA/MtZLSyygd/KeU4kb3EUgCJzQF2RP1BGbCIRoW8kIaH1ZmKJEg4tdZwxWYOEKUy3JiQa2g0NHK+ArxK8I2JxgZoeR8l+RywtMfw0kmLDGhmefPPvdw0o4EEh8nexGqDy/ojuaY2PDIeSRnhU2axVJAaq+lr/Vl0XW4JTpNh3m6PhCYCT2+r6YmDCZva9o5xmxTfieoaq+EZvNowWU3UwsV8lXOBWijyJwrXDNM2awU/M0oOfxEpcKykMGVhyziZwe2RMELlFBUs56tAUCsHZm5LtXwOua/ZsSQyqA6bvlP/XJavrnMuwcme+EXsXOqRJMzbeQIrDmZhMaN81NtErrOwIRY5QBwUlBP0SBLX+SrUiDKIsKV6zVLFyXJ43VmnaMaiBONoIH+uLyI6AIe293QUJzJndhaXGAK8DinDF8YJnfFYZAPO6OX664TIQdUMrFFZ7dBiVo7hOXeL6NauOdfQHApGMf3IU96JFHpfChwQRc9F9P5LkqTwYnpl7h5h2WxRmVae8xUAbjkLES6PZNn5CuArdB+Z7DVQiJ4pTzFdXOEUOjNMidYaemdsTeW+e0dVJYXX1BosRiw+YOjk918TDpCBsHC313kp0Ax+/52/D+uP5BoGtMjwyk/ySCusEK7DY9ck4CuObHrjdxsAKMuWsizdl8HNPLT+SG7AzleA9/15RiBbWIlA79K2mWGksZ4S0u4MWCxuj2QYTfzSnN2G5xGViQS889O3K8Xvv1ljklD2mroDb/25V/FZniAo4pO/tc4ydhCMPaAZxy8jRMrvr5YdUmQvYOnOKWerh7zXVwdYiUotiTJgqcutGjFvV5pvv/vwpG2ITsjlyrUfLzkYUGae5NxyTNp4FFVON16ufRcOZ5ViQ0KOYo0PFKNMW4DSecGMnKqXGZxl9PK6ciVsK75decSWLAnBxEoGrNnbU/Hp0njDkuCicj4i3vqTv77/3wz++uGv0dUtSSgWlFPTG+Oid07NL6qSmf5kWuGVGJWdrwBrgZgygTgcqB3p1VjVGR0vqMCGI7mmnCZXx2cjPrNEUQaL5f6JW31/i0pRndNVnA1f5IDFYtd+Vr4XxfVrjaGvzN2D6IRcJOd550rZ+VbtfGUF9pl34DgCykzfkurT/w9XObrJrDyYbUo2NuN8JcKoLKFeqSY1ZkrXidZvfziaW66QN0YujUd0Qi4e/Hmrzq/4TgISxNldii3q9dcfycVLc/aYtkUYzeuiMSDaH8p9rJfVm3sdnWdjNAy7msiIEsia7M9cKkkS3vhjr63tCJT5ghKcq+KzcfuPm7jfmQlqWB2fjYJy7xo7Yf1RRCfkYoZOUKE/HMmu25/amZXr06XGQcQsNW4P3vhjr+Xf+YMc1Pimaq/GUlzpxC+bUjB1c4rvGaiRJP/LaNYXHknS2FhFASpyyXujUu0yFTVu4dqz4UiupWebU1olDBZ+bMp2zWdGzlcA8D0nAEEms7hKd11ezgn+YnU7Ggcsh0PocGhHIInIpqLGUgb5YHiuEvUCOWARjQpZ+GgS7lBkwKquNbINYjIwtQ1BJF5Ftb6iYszDF/sUZfLcH6y022YJ5Op2zf3qBaecMQraVeNaD7PCCovL4/EJ5IMMMn25PZIwOtisE1dDY83bN2Dfx7dqPuf5mTVhnCXUSjlZYJRRbyiMUi77S3GlE3cKMgUFA7s3m9kWM+I1dEW4iHQTjqftWzZRZF6Tb9XfVOYs8ng9u6u4Frnpcwk+15t/PBLfoVTv3iTJ2LnGXwLp0gu62+dMabaEk7/07txKYxj1SJKwpFVDw4wR6BIDRxi3R9I4joiQp3U264jd2KE4saKwatE0ot7kM/b58ZQtogxwIsxmMZJxeyRNFqmLBeMl32IWRyvKDDvmcBnZkChaC3nP2snIeWqMsjeZxWiIZagcmq4+kx/d6S+ltTJYQ5UQnG5JaMwtKK/RnetEBtL8shrY5W9/w9mdNZ/pTTNuSbwfUNMsItySQk7tmBkeRAWdx2NvBLYVetfKN2b7Rm/ezxco69WIHLN4nN6BX3KcB8//6qLT+M6u3uND0+elVXy5NLO4itufDjjwYL/TLV3DqtOnqNRwuR9BW2pnbKvlanhcGaktFyyfm113yqrdltdNPYJRZs3sOp1fVjf/stPN0dwybt+d2q45Bp6jnTPNYHdAlpXZsTCAbMz+IHJ88tdR2uORhFk+gyHmhnJleOyKHsLv7JQh1TSNCN76Wlzp5AYH8RDtrdsHSX9mB5W1c7laxyPKcmgFdq516zg4l5jU/QZ7yRUFHcuB41b2e0Um7ikQxw11VjSRM4A/6GXAqnbbdx1/EPWZqMxnjZ/9oqdzMJr72Sz5kZ1a+nV9PRwOh2XdoqjN7HMOhSNBoDKSvHaKSrcCfF1uTqm+7qVVAGUE67ssYmZxYIkhzGLGDsCu82I5x3zlmoaCRwLKqpXjSpThSqr9uD7GRU2IbZk1Lk9A67JaLhT1WY+OLfCQxX1tqAimfocILY3EtEQQXuQIg4jwMF+5FAl1Xq5sfVsz6UMDpaBCX6HWqll4XQlCjwS3R8KUaOPSbsEkECOSJGkdaPzBIylLcrAe2WGO4CgXA8Xllnwb3T4GzhlZJVUagbCkyol5O08Yjpn6ZPexQhSU1+AXzhjt2akV2nGUO7xscnml1YhLK4IkSRqBafn+LBzOqvMML1UZ8IPVP2FhDo0hY96uE5iwnl/KJVDsTnsrKkElItDsFvWFmY3E6R1aoFPruijHrJIqJOWUmt6E/BMnTrF7OKsUO1MLUFIpNvAc5JSs4RGXVmTqOJaMokokZGszcsSkFAgVy00jwmzRfvPm3UCMf3aV0gKgKFsaDGZvP6bJJCaXIAwlx/LNOUCpMZP5JImTFp4l9oT5rBLpRZW6hg5/DKSac9igmC+tcmHfiSJTMoXb41GUsggpTPN4Bgmr07lZQ46MR9K+r+uP8DPruT0e5JR651wzqNd4PcymUlejN95E68KB9GLNO+GRJFQL+s6O8QhoM4UdUP1b3V4z0fBW1nv5+g3VR3vviUJF6TuWfWnFwr1dTmmVUO5ye/wvdaIm9rh2ntSbX6woRytq3Ciz8L6onYaDuVy5JQm5ZeL9o51KYHaPAHgNHQnZpb5MckbsTC0IqbOYxyNhq6C0mBqXxwOX24M9xwvhdHuQmleOtEKxrLQoNl34XSB0bat03jsukNdKqlzCCHO7hptIlhA5pfgTYBKXVmRKLim0YQ+qdhyLPV5oa8nuYGzvzL6/cWnF2JiQi12pBYq10uWRuMb5iHAHDpiMBldje+CFhQGrzuATauQ1xd+ggNjjhYgX9HswDHai0qbBQK/9wSw5FEy1SnJuuek9s8jgbEc2z2Cx4UguDmeVaAziZjOu6VHN6MdEe4g18dlYfYifaVGNP0G6VhCttYk5Zah2uS29n+b2thKKKmqQU1KFpJwy7E8rRqFJR3S1vtvOd2D9kVyUC5ysN5vI2BZMRHsqUb9tTy7wOglYnFtrXB7hePNIEMpeALAztRCztx9DcaVTuE6IxpopJAlZFoN/xSWuxRnNg0F6USWSDXReesgyaWQnsQMab4w44MDR3DJhxtNA9Aj+6kfsIrvEniA0I6pdbuw+pl+xg936LtvP1xd4JHscfENJUk4ZThQoHdBEdtsNCTmYvPEoiurBrsjTgwST/enFft2nJEnYd6JIo9s9IpCVThRU6trbthlkr7RKSaUTaYUVOG4iS+qR7NIGaR8nrGMtTyZB1DNyRoQmjLGRVWq1YFKoh8IBa8Ri/RIF7Vo0RaXTu5B6JAmPTN5mOXW+3TwyeRtSR9/plyNW8ybh6PvpKuH3ZjeNHo+ewcihqBMdDPxJL+nySD6Bw4wX8sI9ytScev3WUNBLIS1yROBFictpPScNuUzznPenF+O2sZuQOvpOAMBPKgcof8oPmSHM4dC0Zda2Y0G5FmB/BiqrZTYbawYsURkrltS8CrRtXvcOXzt6HQBx+SE1r/0Wq/u9Xmr51Lxy3DnOuEQt4FVESJJkqlyIzCu1qZfV/Of3WDzZ/wzud5JkT2bFeZzymH5HX0v2ZkcKdgYsjwR8teyw5vNQR5wM+HaDX78z877HpRUjr6xaWM5OrzQmjz4fLhd+d/HIVYj7VJsxMdTcP3ELMourMPbRSwyPdbkl0++23cjvmdPt4T7LYDvUFlc6NXKXqAx286bhuPLLtabPbSb1uMxMP0ugqMvtsoiM+zwnH7dHQlx6Efd4o5IVZlErd+4av1nzvcNRZ+gw4wRqxej4T1wmnr/enFNifSAq0SQTk8pXzF755Vp8ft+F3O9aNA23VI5UD55Dod76uzg23bTR6vlZ5ku5A4BTtc8N5hMtrnTivglbhN8/N5svu/jDbWOVZUHyympw6w/mSxStis/GlE2hC3bKKqkyvX66PRI++yces7Ydw32XdFeUmubxTpBKkqrnlfVH+A5C+04UcT/3SGbzuhkjMtqJSlLoZTkR8dWyw1gcq9/XAHD1qHWmzylal/t9sUbx7+k2l6UJxtStZ+hlyS+vwdPTYjSfu9wefMYpYaI2Jlmho045MX+wIs2Hwkisxwd/7ceoB/r67Ug6bp04uCxYgWehQk/XaFQmN9DrBktumr39GGZvN6eTEs1/bHnQhsYfO09wyyvmllaje3vzGSR5sE5dIt3/cxZlq2Ci95z+O28fguFD2P+rtQoHjkvPaI9JQ/oZ/s5q2U2rPDCRr3d+e15wS7EbIcpYKXJoKq504v1F+y3r4r6IOoTTBOPfLUm47PPVwt9+vcI7jkYsPiA8hxW5WY0E6w6SogzF8h5VHVwRLK77ej0AYPdHg/z6vTynqMd/elGlr6/V2aoBoLTaiZvHaMtb28HmpPp1SgwVRRVOPPizfolXds4X9YtHkvDWvL12Ni3o3DFOWxIzWSCL8kp9horJ9ZBMxGyFBpYlezO4pSy3JYsdqfTK+j7+i7a8YiC8MHu3peM9EmChQjHRQKEMWESjwSPVRWxHhIf5In1Z5SBrgLcz7eTtF3bz63dX9uroU3JKEoTOV/+77VzNZ91M1PYOhEROlhUjenfRz/xkNvW3OgOWEkkYtWcXA/0oc+j2SD4lgZka78l+CAoNGdnn8av7LzL9m79i0xtMloUwR2Dl1GTuvEi/jOGZp3ijZdSZCUJNfZWKCQVl1S605KRxtqtElIgrIjtYdqC1M9J4rmBT4JakgB00nrqqJ3fT4ZYkwzHPbZPN4z/YDlg8moQ7EGYis1RDoNqkc8ExE1E2duDySMgrrf9sj5m1TkVqh2ge6ncolCVrZUSONMF2qOUpEkVcdkYH44P8ZImBM4I/WJmDXW7JLwd9O6modiucI8IcwNzn+uv+xmpk7Pbk/AZbgjAQRKVb+vfqGNTMGHpDbP7utKD1dZXquQdT7jMqCbs5yd7I0ECZttm842co8Uh1wR9Gzldmub7PKZZ/E2h2zxq3x7LcGYiYOviCrr6//V0P7c5qVF9zaCDy/lkCPU6gewinW8Law+Yy1PF45HJt2Y8bz+mMKyLtkzcaizwPAL/HeJ1VgjGlT9xw1P6ThhA9Jwd5nRc5JASCvu4yuHRvV6cTrm8Z1U7sKBnJOl0FK/j63ku6h0QP8U9cpiU5zux4VO8RYo8XGWZMG3hOZzRVOaA01uz6VjnqR/akhXvSLOv8UvLKNQ4k8j7GirNnMLIamrn8ud3amDqX3L4tId4npHKyyt9yvleWlPX1POTglibhDox//FLf50cYBzKeg7jdpYu7mAwsbmgMv11r1zTLhTol2a3gkYyzwctyp7wdaoi2k2DIMsFGVJ49lHRo2cSU7pcgQg05YBGNBnZNjAh3cCPZWKO8nZuwn01EifAID3P4sp/oCcctODWmg73B9keBaWRU523MeM5l3shZcakQMxuJlk3D8dcr1xgeZxcut8c3pvSE9pMVeRw/0f8MfHjHeQCA9pyShCx60YKhFnJ5GbD84erenXS/P71jSwDBTYNvhvquFR9sQl0aDgC6tm1uucSPHZmpjJAkCYH6O7VsGs5tq8cjoa0fa5HdSlCRYT2YuDwSrNprbrvAP2ftQNFTMgw6r87hOFj9KCu0WOzLjxEa1DLR+ae2Ddm15SuL1igj54dAsTKv2b12B9smKj9XI3kF8DoVhCJ7rlEb2Mx74WEOXHuWvoOFuuSVEY4AS31feFro3o1OrZqadjARjU2XRwqqU7zeOxFMWUx9brdkfc0yC++9COUcaZVQiohWspwGw4DJZv82S1iAokCV0209qCWAW//pict8f7vcwctEY4X6MkYHMpcN5+hkgMCDHAKdX285v5vmnXU4HBj1QN+Azqs4n21nsoeenVoaHnOy7eXNyGFG6OkvZd2L0V7n0jPaW76u2xOaPT2ProwDVk0965fsxI5gada5KFhlujq2aooONoxdGZEjLGDtnQ9kn20kK/Y9vb0mA1Bjza5vhot7tPf97X/298D7Z3CtHslKVwdjXjJzL6xcpoecmTDUchtPNr/xnM4A9N9Bucxrk/AwnN21zsmsWUS45hiWQOVqzfnqQddtBy9cf6bfv/VnP8PDzFgbenVk7bHefXx9rO83GSSFYPfeF59uj3NasPHHbmA3fbq2sbQ3bwyEN6IgEkIMlSAkGg2snNMkLIw7qTZjHJnqu1ayjGxI0RNk3ZK3/NPq+GyMe+xStGgaHnTFnj9KHadL/ze8c/LuY9j0ncJzrD+SKyyFwBIe5vBrIfJ4/ItgO5pXjr212dbqIxtLQ0RUNkLG7ZGwKZGfGtblkfD1Mn6N9GCw/kgODtqQWc1ozEXXlkS1I6ovEP4bpLIlDYX62JRKkvGYV3PORyuwZfhN2JyYi7WHcnC5jdHcMnakIRalE/ZIwO8x4nS8IuxWENfHnOvPOlFfm6OMYnEGI7Zk1l3jN+PPF64KRZMaTPZDAMJ1iMWoNGkwOZZfgRMFFdiXVsT9/qU51tJUW8XKWN+Rwi8B5y/BHCcutwf/xHmzzPBKx2mPlzBza/BKE5uFNUrxlLxqjKI81YQ5HAFlcjiQHpoyEoBXgW52XhUZh7Yk5ZnqR3/R209JErBgd2iiMD/860DQzj2JIyNENOBc+Nklwc2IymJlP233fLfneKFfmYcC9UdctCfd+jUDmHTYkWY2UCvYxB4vqpfrDvre/7JCTQSydKClpgJ93yRJQpjDoTSASZKtMnVDM2Zml1Tpfi9JEmb4WZa5odDnw2WKf1vdQ/PQc3iWDf1GpQh5WbSNePU3+8rsWiX2eBEih0ehZdNww7JgzSLCGowO3IgnftmBX5++PKBzjF+XhLJqF64+s1PQynT5qzsWoRfoYSVT44T1/meze+pXbSlZljCHA01UMt7Iv8Xl3hs77FKTmudftvBl+7MCboe8TFmRcYJRAcDMeI8wuT4vic3AukM5uKB7aIM2yqu1+349u1zk8Cj0Pb0d7qjN/N80IkzhXC479qYVVvhKQLLYneEry0BGaKgEkm1UrzycFXalGlesYB21iyudaOGHXBAoRuW/04sqcdf4TZjzbH/sSysOUasCY82h7PpuAtweCQfTG0d/Ef8uyIuAaDSwunOR0pf1TK9xWatbHSxkGUSSxBG5Ho+E9xbEYXV8NmZuSwUQ3DIvgH9RLDGp+oY3nr4jWJmAmoSH+aVMS84r80sJPGJxnWFDnZLZH9Sb2sbEioPmNphJOimcc0qr8GsIS4TY4XwF6EfMsJzMUWINgceu7BHya7o9kuVMIwBwy/cb8b+F+7EqPhtfLdNu2Bsy/o5jux0Q7Zhz/cHq7YeFOTDoPG02qGBTxlEyyaSrysu9+ede269/SmttmvQ4gTMRwef6b9YLncAKbTBa2UVjMggeyS7F2DWJAMwps51uj63ly+1gY4JxQII/NJZSIuFh5g3nonv6Jy4zqBmw9NY7f2SGhkg0Zxw+3E9bNozQRy8q259yIw9M3OqXM1J9OIsHEl3Otrdzm2a0x/KTJoLnzpunzgthhrtLerTXjOOyarciG2SgNDD/K13H6V6ntLJNb1GfsI7Pl/mRdYqH3rsvjyG3ge7xyf49bWlLqDFyvgIaTgCyWZ6duSvgc0zfkooXZgcvUMUtScix0cmlytkwbBR6hIdp7S2NxQHAH1jx5LN/4uuvIQ0EM3tEs3JkTGoB1h7Owbh1SYE2yxLjOdeTnYNEcnNcWrHP4T85txw9OtZlqpQd1d85yYOcTwbM2KrY4N4J65PqJbBDTu6gx4H0EoxZlYAeHRtfOcL6wuWRkG/g3NaYMJMxl2gckAMW0WhQOGCFObiKFNZIK29ApzzlX/nAQNn54SAAdelP3ZKEBy7lK6tZpWRhhXex6NrWvrrP3zykTeEeDCGDJ6xXB8kRLiLM4Vf0dXm129S9P3ddL2wZfhP3O1EEqRWaR1jzsueVeKoviivNGYPLq8XP3kyZH7ORNcHinou7az5r36IJWjfTTx4pSQ0jOvtkZsDZnUNynd+fvwof3OEt2eGv8ciMwrShITsa+qsktLuMV305YFlNlx7uAO67VDtvBBu9ZqqfRWax/RF1zSLCcJ2qTJq/454tmVjf7Pv4Vs1ndpUgfv3mPpZ/c0bHlpj1f1da/t2dtdGcMg1JnggmVrMeqR1pot8diDsuqp+yosHE4WcGrL71kP4+3OEwXVZPL+AjkAxYV0Z21P1ez2mvvkta8vZ/drDm7QG46kz9ktwnM/4qQ/Xeu3GPX+pna6wTeUorrP3vgJBdD/Df6fPqMzvB4XCgY6umALxGk4a0xzq9Q+MxikQIZOkzOirlmoHndMay16/jOtcHCqu/axYRhi3Db0KXts3RRxXg5JEkm0v62KNT+Piu8y0dv+btGzSfGcmRd/U9VbGuPHNtpKVrNkTeE5S/tIreuy/LcEYOmtf2NlfWuDFS37qzkxEzy8253doYH1RLY3CSczgc6N6+8axtANCmuf/FfRqKRBGIaNPLJv0EYM5OFKosuP6uf4XlNejXU5nQINxnlxP/Tr71i3u0Q9vmTXyOZvJP1IGNjQEr85MV2JKBL9/YG/s/1erN6gsj/Q0rD+eX19ga2DH/paux+i2t7GeWtqq5LL9c3wH4/67t5fe1GhMXdG+LSUOMS5+6OUF3bQzsdw2ZFW/4P5aIhgU5YBGNBlkP4XW+csDBUaSwSh15c9PbZMYau+lcG8kqC21Otwexx/npMNkot/jav+2sQ3xh93aKTUlKXjnm7Tph2/lleJH6wSrF1iQ8zK/IyPIal6mNb/uWTXCaYOMZaKp+wHp61lb1kBZVhMvkM9VLq2omTXj7lk1NtykYRHI2sg4H0MXAOfJkiFpt6ISqrnfPTi3RrraW+baj+bZGQDZk5A11Xpl/93s4y753wOEILJ11IJSYKFvGEuZwIMJei1HA6K13Z3S0L6JGrfjz10AqG1kbAu1aNsHlKuXdqe2b23Juf1LxeyQJN/jhfKpWvHVqQH0cTNZZLM3FyiydWjXFGZ1a4vo+5vu7sdi9DmeW+FUKqFk9lIINq93zmUEv25RZuZXHpT3b635frZPJJJilD80QLOeQs7q0Dpkc1hDx986PZJcKv5NlzVAQEeZAZCf7jHVm0HtP9GhVqzTvXOsM5PFIho6Np7QO3RrHGqAaOqJXVp2V+4Lu7eBwOHBON/t1aGxGQ1bX0kG155fLEtqFv/sZNVbL153VRWv4bGPwrrs8kkLHVR9l2O3GLscgPblOnheM9h92Og40NLmPsgPazz4TWUqsBCiwgawNac/LEuZw2JqB0CyRAWT60CtPaoTVgLtgEcg92Pm4zNhvQqXveufWc/z6XUmVE8fyleUkZbvcIZ1Snxm1DlZyZR1ZRolLK4IkSQGX8K4PRPJ+oPuOti3q7Iv9zuiANs2Dt4+x6mBo9JzYjLAeSUJSjnh/ZoV+PTvgisiO6NPVf6e3UzgZkfUye3aycc/jTzbmUDHwnC64zoRejheQd1ojCpZRUx/lMYng0Ph3c8S/Bnke1ds08xQ1dipv/EFe2+PSipGcV849Zum+DN/fmxK9jil2+i2FhzkUGUQGfrfBsmHKDLzSRi2aBsfb+LKeHfwyysdnlGD4wjjD4/T2YXYoW8xmkZJZvDfD+KAQ0a1d4Aboj5cctKElwYXnPS9J+mMDAO4avzlILSJCTUS4A4ezvBuysmoXZm07Vs8tCg37a+umT9+S6tfvtyTl29aW+lAA+sui2PSQGlHNoJdN066UxpIkaQz9k6OP+nkuO1oUOLICQi1ndG9nzwben1GdVuhf1GW4Sm5Wv1KBKHwbMuPWJlo6ni2FIitprcw/rYIk79rN/N1phiXFedSHw02Yw4HY40Wmjv1uVYLwu0CMkkYZa6v1MmDVc0nL4iCWL21ohudQEgyHiECyN1ilvNoV8ud36w/RSNRxQBMht1Nei50eCT+t1y9lE4zMTd7zao0ciTllQbmWWexwjO3SVrmv71q7zw+GDo11jimprHOaVa9JklQ/pTKNaN8ycBnf6LbcHklx7/tPgtJfeqXS7WJKdDIA4/XezmEdylKdRP1gJrDS32ynDdXYnZpXXi/Bb4GsOc4A5PyGksmyewBBXkYVGqyQqnJc4hGqbHv+ygHZJdUax2t5TOfqBNTO3u7V9cpjUb7+x0sOYsOR3KCWtA8WYuf7wORHVmcX7D2MVdnLSA5gM2AVVjjx4M/b/GqX5rw2vBdqvZzTLenej50yTUMONo8Id5iqisFzwg+FDEoQRpADFtFo8Dlg1XrbywsNu8bxFh+eE4WaEXedL0zdOPbRSwAAYx6+2HRbWfzdSPgbiXExJwInzAE0D2GEJvtMBpx9il+ZHowYfvu5fhnmmzcJR7mJ0khy7/MM1Lzsa3bx2sCzbDnPg5fxy136w2f3XqD491uDzrbt3P5ihwJUjzdu7sN9dyWAu/FS95HMb8/3t7tpQWXgOaEp7SfCTIrkf/5zXQha4qVJWBi2CLK1XdO7k6m57YUbzrS7WZa5+dyGU9aNZcFLVxse0xANMHpcdaa4XJXed1YxO8e/fYs4cvCTu/nzllUkAE9fE6n47ERBnbNQhyDP1/5yjk502j2XeEtJquWM9+84T5jx4s1B5ssKhjI4QKsMUv6bIua1yPOOlcf0YD/75C6ZhlROpj7aEh7mCDhzybnd2gSUiepUg6CD+i4zqMfxAmMjir/Ud4BTfaIu2WYHdjh1mZUxskuqQuJQySrKK51ubE+27pwvjzN5/vF4JPy6OcX3/agHLlIcP+i8rngoCHMxAPzPhjJqdpcKsZKRSfTEn7qqp+Lf9196GoDgy9+VOmXOPVLo5hgr5T/79Qxcjje6L7XxaOtR+4Ja6ovsEvvLn6tZfiALgHEGLDv1eDNNlgWXHW1+f/4q264t4rnr7C9HdFOI9AiThvQLyXXsRi+wVq9kUrDWqkCJPVHo1/wbaKmzQKb8QDLdjrznQuF3z3Lep4cDeG5X9uKvIbec3xX/9TPbE+DNXBlK1MFdwcKOyiMyVmxH8mVZMWhpXEaDKoEdKOrsp/7w+b0X4OmrewrHdaCc2dm733rAgm3rvFPbGpY9Z5N6HMvnJ8nwBzsybKqryLRsGq57P3YGK9vpyGk3TcLD0DQiDO8O1p8nee9ofhm/Ms+g8xqmjYQ4OSEHLKLRIM+j8qLmUH3+yOWn+50B69nreuHju8/nRjbeV6uE8tew4m/0iJFwd/6pbbkLxruDtcrBsDBHSFMXsh7lDocDXz/Y19bzx382GKe1b6GrGPz07vO5n5t1bJMPEykcrj6zk+9vOzfPdjkW9bfR0D/06kjFv9vVszG9Z6eWPuVwsHjrlrOFJRB5aU1FaXGv6tUJqaPvxJCrzrC1fcFi0lP1q/gy2ix9evf5uPA0r4Lh9gv1a7vbQUQ4v9wtANzZ91REvX49UkffqXuOhlBzvLNNEZZP9Ld3HF8eaTxPNTQHLKPnLTJqdmzVFBOftO/9GvOIOadwvTXFrnEhSfpO3p/fJ1Zsas4VYFuu6d3J+KBaztIpUS2nnlePv46tmuLQ57dxM529eENv09cOpe+CukyAJgNWQ0k71oBQR76aIRjZ784PQgCDv1jpCzMRisNUTps89C750xPmjObndGsTkGHG6F2tdhkHddQXwZxn/q0OWF6HF/vnzCY2lHP54wW+U/vXDyqdlORn9/TVPXmH20bCl7cHfA65W+T5R60fefxKpVw69enL0SwIQWc/PHqxLWU+PhboJ/zFqnHyurNO8f094OzOSB19J5o3UZ5DdjKvz3fcI0lBlf/lskIAcMt5XQ1lexk7HJGNzhAKA++dF50qzJDLC+as71JpPB3t7o8GcZ+bUYYSO4e12Wx7q98agNTRd+Jqk3sUtWOpFT6663zb5dEfagOSg82N9RwI6C+ivf+jl/fAbReeKvxdQygvys6FMuFhYX4Z9c3K5SICWXP8nTYfufx0XX0ILwjjWz8D8wHxGB/32KUBBcyHuoyinUE5t57fVfidnWKAFXHJlwmbbYDUMIPW1r9zo+73otcqUBnP4QCeujoSI++9MGhBHev+eyNSR9+JljrvRphDeY+ntW9unAGLea52vjqi0pw9OprPsqfew7RsGq57P3bK6iKbcUPI9ik/s1cHnoUrIjtovv/xsUsA8N9RUcDH1KevsK+BJvjhUf/XDqLxU/9WQYIwiSgDlkxEeBhXoWFFGAiGosefU0YOjzJ06vF2By9Dj3bBCXUJJ/X17IxcYM+n59wmeu5mZWa5H3mbC4dDOVbs3DzXR4kXq4RKISu6jCSFZkyLAhh4mRRExkZfyQxXw9usAd7IF/Z+7DAABUJCtn4pD/adD8UwjAgLE16HNwbV/Ql4yz3VN3YpC+pjdjpZjLxuj9TgyinaEfkG8OWO+sKKHGfmcYjkDJ6i00p/hjQDlqpd6lvKE0SF/ZsJ80W+1u8ztVt+DgQr8mmTcAeMks2a6S+999ls5pclAZbwNrrvb1YcCej8wSSY80w9i4v1RkSYQxOdbAehdJbzZREPsYP7CD/Kz1c5vc4UR3O9+4PdxwsNf9MkKPoccUBGfWLFCOpQGank+VU9PkSfhxJJCq7MnF5Ul6XViuxmR9YPo36dsTUVf+w8HvB19MgsrvS9W2p480Kgxv3ADZzaNvHkg5dm7xbel+9M9TGsLV4z0CnM7nsMVTDUybLnlzHaHzfUuy2pdPol4wX6/NIKK40Pshmj+cLujDAiXWugQz/UsVQiRxN/0Jtf7LSNWDmXPJbZMb0oNt22ttiJ0foskl0b0z7OaHg7mGPWHMoxPB/7XO3MFh2XVsT93Io8qw6K+D3mhO7xdi6borLmDSEeWpHkgzOmZQfWQILugk3T8NAlRSEaHo1oyiX+7cj2Y1lJohagmoQ5/Fp82jL1io3SwlvJrCCTXeJf6YwFBkZ7nqD1+s19kJKnTaEZHqavMrzhbP+ijfpyIuQA5QLdu3NrOG1eBGVloz+KObMKpFvP92bXCedIpj07tVSMNTOR/maxLWItiJswXq+f0VFbqjFQ/nMTvxzjSwN6KwSwYDHgHH72M167jJzwSqrEqcnrE7WzkB3GmGDqzthTh8JZMSLcIcz6xFMyOd2SJpIwmCWAzHLfJfZkjLvv0tMwwM/1wgy8vrZSs93u0i5q3rjZfIk5Na8O7I2Wzaxvus4UZNczi16ZPbsU6kbLqloCGXyBONIxUAWiFWOkGUWx6Hy8ZlrqTweCnslRRpMBCw50NyirFih6mdeCZcixUorJiMeu8M5FVpaZYIglDakEoRW785smSlXfbCLtu9472rJpaOLICoPgbBMqzEbT62UDVCOXKzvZDKU87rm4u+aziPAw0/KnlWwerQI08ull2r2+j7Id79WW0mtI84uIdYe9hpTSKq8s+POGo4a/CcYac0VkR8Rnlth+3kDJKDZf2u2szm0UY1fuJ9E8UZ/D49YLuqGVBZk5EFnZyngRvTNWjPRPXnUGXh2onzGVdQro3TmwfQCvbXuOFwnL5952gTbDdGGFsR6DV6pL5pIz2hv+XkT3ds0x8h5tyXTePLziYJbh+exypOzXU5uBQXhNi5cMVMfx+k3+71d5hCqAiPd+9Q9SaatQsD25QPf76/rUf8Yvng43vajSr3U00KBkvbK0wcIo6D1Q2UxN2xb88wX6it1/WWh0CjJ2yo/nBFi60gynd2iB+AzzMlxDcES3i2ev56/NLw/g21rM8sqN/N93a+vVMflrY+RhtA7wqgDpEaznKpKVrFzPqm1xzaFsS8fr8epA/jNtCO+BIliC0xw5ey8v8PzmEJVRNsKOEpVE44UcsIhGgy8DlqoEoUx4mFchamVt2PTeQGx7/2bfv++4SJwiGABmPHMl1v53AGb935WKz5e8ei1iPryZ+xuPIPPI9X1O4X4eCG8N6sMtjxYW5tDdRE17+nKseXsADowcbPpay9+4Hr078xX2YWEO7P34Fmx//+aglGSRlRL+eO2bSQRzSutmvrIvPPmnTfMmCiHEnywirwuci1iHQJbP7tUqnnSxaW0//Plt2lNzzn1XX/13xx9kI4+ax6/soenzFwecafv1eWUFHQCGXt0Tq9+6QfG5kcKhoZVRk2HTaqvraf/vtnMNUxqrueX8rlxnn7X/HYDLAlC++mAGXyg2AhFhDo3hitMUH13aNMOatwegUz2XamDZ8M6NuFKwaZU3yCxr3r6Bc6RXcXFFZEdMffpyXMmUDry4R3vd63927wVY/Oq1hu/AoPO64vN7L8Tqt25A9LsDdY7rglsEqcof7HeaptQOAOz8cJDutVlE9w94S5MCwN6Pb9E9B++9ebJ/TzQJD8OSV69VfM4rq8EySCctu5EBBwA66IzFiLAwzXsv4pIe7bH341u4G1h5Wf3ozvO4v5Ug4eDIwfjk7vPxxwtX4ecn+2Hpa9cJjw0Eo3HGOtGZyoDFHPTBHfrKHauRlc9fL163ePKYvCaafWYyaiWpwwGs/e+NmrFoFx/ecR4evaIH97tP7j4fG965UdcxkCXu01sx/Zkr8JyOYU/m9+evwsKXr+F+N+/FqzFt2OWaz1uoDM+yDCaXn1aPJ7b8NMv6d27UPH87ln2rxoxfhmrv0SxGz8SKHPOcQNnLItpDsOit82EOB35+8jLfv9vUPrsuOqVE5jzbX/gdr6w7UD8GIR7qsWoG9TNTy66Ad82Lev06PHK5uXLqr9fOoXbIYEZjTvRMQsXw27VzfoRBUBPL+SZLNpzbrU3A2e5EJT23Dr8J3VQOt7IjvZ0ZsJ7sfwauOrNONnzxBvv3ZSLUgTF2Zg6875Lu2DL8JnRv3wJVAc4Fe0boy47jHr8UYwSljba9fxP3c7NG0DVvD0C7lk0UY9cX0CY4R30ZCu67pDsuPK0dN9iKJ6PfdkE3LHvjesVn3z18MRablHH8yYrBcnnPDtj+wc3Y9P/s3XecXFX9//H3ndnZXpJN3U3vvffeE0iA0FuASK9SQpcmTYqKWFDsyvcnKopiiyBNmnQQRIMQ6Sg1gUDqZnd+f8zemTN37r1z7+zM7iS8no8HD7JTz9xy7jnnnvP5nOfddzEtHdlT5ywN3o5ra/q/x77gMUbpseJhuEu95ZamzOmoGf10z5q5OmleZt/Erb+Zzf4Te+muM+fq3rPna4XLOJN93J63h/u29Bp3CLq7nelNTb8+aYZ+fvz0YB+k9OPmouXufaU0bVyMcvSs/ml//+7UWXrg3Pl65IKFev6LS/Vto+0URNgx133GNequM+fqrjO9+9ROz1yyxPWa9H8+7bZi4rZft/iEgr395JmuY41S7uf8KfOzjwuYRjTUqtpj7DmXSXe5tFMLZd/xmRPoTS9euYfuO3te1kkiXpNrwy5k+tVJM/T0xYtVVuI14blt19vpA7u4jj+ZaSFrPPa1n+8dOUk3HZ5ZX7Sl/bjAsTihc6X/8X7v2fPS/v7XFcv0w9XB+7sPnDtf96yZpx0hggLY+6MtY/hh7k98ab8xvpOY/fhdLm4/eaYm9nWfLHzYVPexmmuzpMC9Z81c3bNmro7ySGN+/znz9eC5C7L2gZ7waJu46VNfqd6dvdshJ80bGDISfeCXSpLOXDwko0/6lSypSM3tG+Z8iUUjnvcK3fTq5B4I4cJx7ouY/RbCHuoxfudWPa3MUsfmm7mg1G1r2ukTm1vi6tclfZtMH9jFM7pXe/Lrsz3xhUX6xQnT9fD5qb7E4hHe+wq7no4/AoGA7HlFybCtjrrLvuAGjZ5QVxFTn/rKtFUN2QbsSksiGtStOuN1w3rWqHuNeyPcq9FW28aJSfF45oXQawApalm+26UkGtHg7tWhVu+NaKj17ChEI5Y6VZYmB3wLNVHCr2Po9VSQaCr9jQu2WwSsxOPmBKzwVanXe7yOl46ade6+KjazLIUIuOV1PFtW5oTCXAb2cpFI32BpiOOmUTE06HJh3tx1DprEopbnwJCXMb3qXLeFW72ZC3O3t8cZYVmW5wC12zlZFouoojSq/m2MWpRP/btWeTb23U6xugr3QRB7hWQsGtFAYzW2X2dYko6a0V/j+3TSJI/Ov1mWaCRxbvml+OjXpcpzACliWRrqckO3m88Neae+9dn3XbbIK51cru/2edG/S/rnZwvh3uwza7it4d+jESvwYGmvzhXqVFmqoT6rFP0GqarKSnT0rAGaPrCLIhFLYzwiaLb1YpJtoMyMzBTkumqe/2kDhG0spyX/srq1x+wIamEnfTu/x1JikMJ5LObLgK5VnikW7LZ30Bu7teUxLRjWPdDq2JKopUn9OruukqwuK1FteeZ56YzQuqk1yopb6gH7O9xUlkYz6tN8rJoOuwqyoQ2RzbJFQQrTDg1yQzvIoHb28zl1TtoRcvwGt7wmI0tSmUddmC09SXvJJbKAs/3ibLtK0uDuNSorifpO1jXZ9U8+5u74tR8Gdq0qWB0VlNuxVBKx1BxwsCHoOROmjeLFqz3gVickbyzlsW8Zi0Y0Y2BqcVmdTxTEQsvnopfailigySdBZLup3rWq1DN6ZLnHTdug11L7ODDrhGzbqaPGHvz6UIO7Z9ZhA7tVZYxXVMSiBYnO7VYn1FbEVF1Woj4Bv68kasmyrMCLdfz6AUF4je+FiTgbdMHC4O416lOfeb7kEnVqQJcqDetZk7yp5mTXX179mAFdPRaKBq2XfRbITO5fn3FN9vtY86kg13KvsYegnG2wqrKo+nWpUq9OFaotj2VddOwUti4oiVga1rMmVGQbr/qxrVGV2ovb2ERzi3f70e08seUa9c452TqbAV0rPdtyXhMGula3vb3SHob19J/8UR6LamCQhSAe2yFsOtr6qlJ1qS7zvGbn43rrNm5r9iOzTXRys3RUT03IxyJag7NOz9Zkc46rVZaWaFGIiQn9uiTaCGGahqkIWMHf4xR0sZkkDetZrVGNwRZtOPllePEby/fqq3fJco4P7l6jwd1rPN9fURpVX0fGGKfenSvUPeT9m/E+i34ty9LwLOe8KWw/oTyWuIaasl2bzO2z1WcyrlPEstQ7RPvVa6iop8dH+AXI8Lv/5tStna8FZt3pVky7n/Th5h16/cP0DCQt8Xi7RNrLxu+4615b3jpRLFU/7gqRqhHcrtGaBSS9u9V5AynYTRGviRFugxlBB7GcN7/sBrM9kGzm7fWqZNtalQYd5JESq5b8Onm5auzk3mj6yBF6M5fVFkH45gv3ePyGu19K+9ttpbzZAfK66JkPv/zep96F9HC3R6hQrwbRay6pJf0UIvKYza3BE48rbVJGoTlvGrR1cDIorzQN2SZCNDoG73OJmlYI5nZ0bsOgg3/mrrAkPf5qerh1ewC8d+e2D4Sb9X57tUe9riFu54F9HBTH3k3xGjxyrg6RvG/4m8fHL55M5aIP3DHI8jLzab+PjMe9B/IjLpMzwwry9my/2W1Qzl7Jbzk2b7by+g10ds3DTdsuWSJw2ezf7HbNtKsKr4E9t4kvXrrVtu03vZMlHY/l+He2CSt2+iMpfV+19eZIc0s8dMo8u77evD1cFI63Nm5N+9seRHEei/lSU16if/73Y9fn7Hoz7EDzB59mTwNn34RzXoOkRPve7ca2W5jyRPns/zv6GmEmyeehWRI2AklbBvDf3eR/7vz73U9y/mw3QSaX+a0YrSyNukbM81vh7DdY6rWava1Rb/IlaF1tCtMXcIug7MbeJ/lIA93g0Y+UpN71ldqSZdsXut8RiVgZN4WjUStwezZw86h1W3YOMGnJa7N71RVu+8m+lvXI4+KV7rVlab/3xf/lt77w45zIks8+1v899nry32297mdTWxHzrKNiHo9nu8lss68ND738QfKxbG3ZfE08swWNGPKwUUY3zkP6kf986PqaQvTF3NrsYfsd9nYPujCpVxv6z36LLIb2dJ984HYz162/6GRfG5w3viR57gy/befWlkv/vtb/e1SKpSVtG4PNdhPaaYDPhGFziwaZ7JzvYa22Tu4IO1m3WCO/F0o8Hnf9zX6pO/3GDnNtX3WpCnfMvvL+5owxSpvXPve7bpREIm1OpZcvXpOZQ3+ORzs67AIBu89jLxZxKtQpY577b2xwqZsDyPf53FiXfsxlO97buuDQ5rWw3v21iTI995b7eEYQYSa8WZb7OEUQXlHVpOzjCG7f+en27CmHg2ivyZp2RG2ve5NuwtaxnStj2uwI5BDLcl70MAJ0vP3RVp9Xpgub7jzs+VkTYlzW5vYN3ds4ZtuWMrjdC/Ab42mOx/MybtFWYRcftvc2RmExAQu7DLseev/T7a7PezWovDoVbpGQvFbsOzlDotuV/U+PmaoVYxr0m5NTIc89J2BZVtbQuH6+tN9o1wuhW389alm6ej/3UKJDe2Rf+eHl6FkDAr0uzGSxMJw3Zr52iBEGNMAFdvGIHrr1+GkZYc3Nt3qlnzEv4H9b/4Eu3HO4Tpw7MCPk997j3Pfx8y6N+Ql9O2lSv86urw/bEFuSh3CVl+/jnvbQbRAnrrh+tHpKm78zKOcEB7Mze9Ck3loxtsEzfG6Y8858ba9OFWk3XcyQoNkaU86Q4HYqM6fpA+v1lYPGeYbNP9vjfZK0YmxD1vzotvP2GKaDJ/fWNCOdkjPNjj34Z4autn390PHJf//fManQ8JGIpVcdkwV/cnTiuLjIIz1ZGGkRsAKc43Z6t/0nZqZFlKQVYxqy3hDwutHmPgGrfRr2P/BIMzV7cFedv4d/mjTbirENuuHg8WmPje5Vq7rKmGvKU6/7TkE7fdlelVbv+uzbuOL6eKv7wEA00vZBIq9BanMintekAHulm/M4GGtEe3L+Nq+BkWNnD9CaJUN1zOz+Gc/ZK8D2n+B+XIex19hg9aG9XQ+anBma2r5Z45WKNkzK5aNm9NfswbmnaP7X/zZ5pvKVpKjZfrOkP34+MxWiW6h9Kdix9YsTgqUk2bKjOXTbyP7+oBOORzTU6tcnzdCzb25Me9w+BN1+zYoxDaEjH5pWz+inqQPq9fB69xuo9vkVdgxkvTHRfWRDrZaP6ZnxGr+VzNFIIjJD0HQAqYlizs9x7yeURDIjzebj/pnfTbPTFmSGp49EpJ8dl56uxW8BhnnOvviO/4QJ15uqAXhNKgkSISdipS9qMY1qrHU9F8b17qT9J/bSARODpdSzHTvb/dgo1AT/5WN66u6z5ibTXWYTtM9l2nN0g1ZNS6RRypYea6fLxLUbDs5Mr2D3ld2qw/0m9NKfTp+trtVlGtOrLpl+aEr/9L7N1AH12mdco85dOlzfPCyzjSlJ5+8xTO+5TArca2xDou82pkE/Wj1FV6wcpdUz+uV9soiUuF7/8oTpaRFkYpGILtt7pOv17oI9h6dNCgs62Gu/6pcnztBSn7TDkjzT94aJMmvvO78UWya/9JSlJRHtN6GXjpk1IK1t9DeXSTHZfCdkWizbYdP6av+JvZLHUpibbL86aYbv82a97ja30+7jZOOVimXFmMQ5euzsARrVWOua5vbcZcM8oxgFTcPjdihmS4ly2sLBeUsx0lBXrq8fNsEzgsHpRnrop17f6Poam7Pd9tybH2W8JmKFb2eYZfBiWVbGPs/W93OmB7XrBbP9P8QnAuWle43MWi4vbimpbD87Nnt7tUtVqVaMbciaakdK9QWefC1z4pRlJVL4OPlFYvJqR9rs/pTX5vea5B30uDjUIz2T069OmqEVYxt03YFjA71+RZboU787dVbO6djNtJtrjDGjMH3j7xw+PuOxSMRKS/Warf9pft8ZLudV1xwmlAfVP8BkQUme6bNy5beNnW0gyT8iolt7LIg9RvfUFStHBY6G++I7n+jMxZlji3eeOcfz+uA3ocOZ5tbmNaYclHN887K9s9eJfhFvzXFM27nLMlOZnrV4qMZ5XLOu3tc/TZuT3ef36kt5tRe9vj+ooM2hLywf7hmxyavO/NVJMzLSCWZz2oLBOtMxnh2xLN12YmZbzP7efEVU9ZpM5yYfczXmDe3mWx+Z9xkilqX5Q3NLu96nvlKnzB/kmo4322KnrxyYeW33S50axkGTe3tG9QqynuFWx3iG12/5fuu4+Iku6Y/z4cBJvbX/xN4Zk6jc0mTPN86H4+cO0H4TeunmIyZ5frZXGzvM4Rd27Ntr8dL1Pm0Yt684cJJ3G+lkj3S4R07P/bprLoJxnp/nLB2qqjLviYgtLXHPtqJXGuu28LofE41Yrm3AGqOPZ+7PVdPy205Bx2ICFnYZO1v7IbMGJW7MOStdtxnIfpGX3G4wBV1pbg60TO2fatwP6latm1ZN1EijoeF388QtFYTTEo+B2DAhO6MRy3OVq1/5vrTfGL127YqMvNu2Qud5v2zvkb4hb80b2d9ZNVH7TQh3s2X24C4a3L0m42aruU2cDZqDp/RufU3qMcuydOK8Qbpw+Qhdtnd6B3NkQ23GwJub165dod+eMsuz8xU2fVtb8rLb5VntUW7XiX9x/5QBftwmAWZbaemcLGmek33qK3XT4RN16NS+roMbfqtEnHoZ6VGcjbPZg1OD5Nm2tzMVkVfagWv2H6sDJ/XWlz0GOj/vMzh80+ETNSFLmjfbKfMH6/oDx8m8Rexc2W3/6ZygsXxMT43t3Sn5t1+482kD6pM3xZ374rVrVyT/82NOXkmLthXgEH/q4iV67doVuv4A9w7FTasmas6QcAMHNre6M98rxLzyfg/sVuXaYfvGYRN0wCT3QdFbj091Ykf3qtVNh09UY6cKnWUMvJ29NHGMuw3AeKXcCboqNsxAht9Ny3hcGu4RQtiyrDavkvM6l4OUf0hrXeY8Nn5v3DB1HiNex8z5ewzX6YuGuNZX9oSEtqQ4++flyzy/38w9b7Pr2OqyEs8b+W4DEVK4VWYVsajrpE/7u01ug6XRiKVDPW4q33bijLQRn4hlqUt1WUYd5JyUbTOPLa9xo+mOm6crxze6DhjZN1fCnBf2ceUVtclp7emzNbl/5gC0vWrMeZx2qozpplUTNdC4ls8dmr1+NNs4l68cLcuysqabCbsKrcyYhPOVg8bp26sm6ccBb3xLqeP3wj1HBLqhbB8mmeer++sjEUstBZio47eZZrlMVIxaVsbjR03v7/kZ5qQVM2rMEdODTcwI4lRjoljYScpeKdSPnT1AlmVlpJCUpMqyEt1w8PiMyXZeE0GvWDlKr127wnPgLpeoN16TUU3fXjVJQ3rU6EefC3YcV/sMLHqJRhILcF67dkXWCZ9NjuO3riKW1p+1pVIQZu7Lrx0yXqMa6/TUxYv1h8/P1rCeNXrt2hX61Ukz0163YFh3feOwCaqrjHlez+urSjO+Y+7QbvrW4RM1c1BX3bRqovp3rdJRM/rr8pWjfX9briJWIi3yd45I9ROjEUtdq8v0LZeJuifNG5QWFSFo1BH7tBjao0bf85hgL0lfPnCsRvdyT98b5tyy69+gqZ3cJl7b9hrboK8dMr41vYvZfw5cnKQ9xzToC8uDLSIwlZVEdcPB45OLnsJEDpzico304hYZyCt1a42jvbJ4hPuNtZtWTdTV+43RJXuNTLRhHRtueM+aZB16+LT0enlEQ63nxCwn1wlYWY7PmvKYvn6oe3ssG+fh+MPVUzSlf70WDHPfDpM9FqBNH5i5f0Y11umZS5b4fr9fO8TrpuiIgOlJ5g/rriv3TdU52fp+btdq5/uOn+s9OTxMitIexmr5Ry5YmOyjuy1E8rqpbbbPxvXppJsOn6iGuuwTXO3Jym7HlSXpzMVDM9rbYdMsm5Ipojy2v9fYWdD2Z1lJVN/wmCBsmtK/XjcdPlE9A47NRiOW5/hHeSyicX065RQBq6asJG2C4+hewcajneYMzpwEKqWPSYzyuA7ZzGPbbXHp6hn9A5dHksZ5pa134XXj16kti00kpe2/bPsrbApOt/SZQS7x0Yilo2b0163HB1sMJLlHSh3YtdqzXsvW1nA7v7zGlIN+7i9PnKEnL1qc/DtIaje3z7ts75F67doVWjk+sz48dcHgtOv5yIZaneEyadSWa2SSsJMr3SZlhxGkvhvTq04nzB2kq/dzb0t7jfVN6V+vb6/ynlzi5hyXCeVxxTV1QL32c0zsbOs56hRmy+cjRXckYunmI923z+R+ndMimEasxOu9+kSS/+SV8/YYrlPmZy7MynaN9QpWkQ+15THPRTbZFjd1rynTTEfbqZdH2nr7HpSz3Z3NoVOyT7KORS195aBxikUjadfR2YO7uvY1pg1Ina+VpSX62iHjtcfozEWDtv09FosFbdtL4SLE1ZaXuB4T/75qDx3s0derKS9xbUN4LZCTpONmD3C9j33lvqNDLcw1mYtrnMU5beEQ3+3QEvduBzkXhnz/qMmeCx+CpDZfMKybZgxyr7dLIhHXPoH5mHnt8tvG2PWwN7HLaGodY7cHC53Vp9uNP7/OpttTQW+exxwRFHJheZTByS/1hXsquMzGTK6TcbJ1EAodxXHLjmbffZhLCsIg79+4JZXqxtl5a9qZ2CbbmlI3ffy+68NPt2v7zravIgg7AauQgh53Qb29MTMka7aPcx7T5t/mM267OE9RjNNk66Q5n/U6ru3jLddTK+zNzR07Uxvauc29bjrG4+m/1/xK53EQ9OaOH3Nbbd9pnnfBf6tfPZLPlCLtdZ62xKUPXVJytcTjnr81krbPUv82O4/2xEa3utFrOwWNDhJuf3k/F4/HPW+uRS0rp5t+QQTZt/Z29Q/Pb/n+bSt0+ga/z3c7hvx2cz6z8kQty7PecBbZbduVRCKev835eNgtbB4CgVO0yv2aaW/PMAN89jc2twRbGW0PunrtO+d+dqaPlrKHV5fc94NXGrhkBKysn5qu3JiImEubyuwjOLe520CUvc2C3rQqiVh5TxmTjVuaLbeBdr9j1XzGPD/yMfCc/A7jS8KmwXGLViylrltmGyb5XOvvcKYP9vpue+KcVx2fSxuhrel+3BQ4+1lGxIVoxHI9t5M3vdvwG9PajR6viVpWRt35P58UDoXok9r9BfPcyJZ23ixG0PZI0AkBftvcawJ0Pvgde+YxYu7XXOuQMNGrvBQqGq1be9fr5pYzUnOup69Z/zTtTD9HLRXX+IApI31v6/bwKm7YdLth+91p741YrhPZw2xL8xjLdrx5Pf3eJiOqfwHqd3Mb5Xo+Bp3wL0lNrWls3b7Lq45ry7lqf+amrV7thLafG/lsCwVhN+/bMq5mM29G5qNPmdZezPJxXuMMyedDlidM+zof15CwWuJx3+tk2Ek3ZS43XcPsw1wjaNlKSyKex35bF/nmQ5AyuLWXstUJZrTlbNeknNvAIU/ttlZjQUqZjIzt8Zv8jr181C1eC5jy3ZcKU6/mKwqU13nk7GMF+a1h20lS9nOl0OONXnX3zixjWW7bI9s2CvtbnNk/spUjPQCDe/aksOerVxsoTNsrzHkSibiPs/p+Rlx67cPNGQ/7TXjyGkOQck+xm7b9XWo2v/2fuEfi9bnpT/jtwyDX8ohleY4dRSOZYxt+5SnEeBI6TnH22AEX9hh7cgKWoy5yuxFhV8JuYd9PdFlp5hxE84pcZDZ+cm2zWJayphmQpIde9g+/7TTfZWWh3+DBcXO8V9xla6MW+npwx7NvJ1P62fvSDMNrXpDsotqzxYOkMPK6+JtpWJwXPTu6xQMvve/5ueZ+/cnfXtPPn3gza1myOcgn/UN7c2vwtGWcaLNPB8cZdtkO4Z2ZFih4A8+Zd97puNkDkv/ec3QqioFbJBFbtnrAWT6vxpQ9wcjvhp9bVC+7rgo7KHLgpNRxZXdK7VXI5qoFM9JMSzyedmPB/C3OvkLQsKl+dYm5Gu3S3/0z+e/n3/oo0Gdn+/wjPFYTZVt15XZsfdCaIjdIqqBgK1vcj4OWeNw1NUNteSzQBCyz7OaxaV/b3H6beT00O1S/efbtQCsRvbazverk0Cmplf1uv2FQa7jkfcY3et4kiVhWwQZe1/ik/7TZK7PCDFQ5IybZ/E7lI30i2gRllmOWx2pn0++f+2/y387V+LmmynATiXjf0HRGpnLbzp9u3+nZ5imJWGkl3TdkCscNm91TX9qf7eXspZnHjj3YGKbOvvOF/0mSVjiiEmZLPetMu/vYK4nUUF71ormN3vvEPe23yXmj2Y/9nc50zVm/wzgkclkRa+4f53Gzxm3/xN0jlB06pa9rlINoxMpY6bcgYGo5SaoqDRfdaOHw7q7Hv9tjfuUwt+UgI4WjvSLTXKXolTrKyU79Z0f6XDC8WzJa8JdaU0PbEYrN9pabF9/5xLV2sfenW5RcM1qfyate/v5Dr0pKv/nevaZMESsRfSbgfMc0YSKWSInoc9kEja5h8zpPzGPN3P7Owd7PLxzsej212wdtudSai1i8UgdalpWxz7wm5EnBo15I8kyJ4ZSaVJ3bjw2bgjBreXyK4TYOYtpnXPbIf25jI5L/TSvzsDH3zwebMxcJ+Dmmtd3svJaevjBzRX82YfeXWzRNN27ntdcNXWcZcu0nm+M0v3r6rbTnLCvE4kGXbRI0jfW8AJEwna5zRB7OFq3Ia595bbdsu3h8n06eUQ0Pn9rXdTJdmJubZjsz2019r33kvPnnllrZZvezlo3yHzs0x2jMr/XqGzqjqknp9WPQCf+SkmnPTnCpR7y2rF8bOEh0Ckm67s4XXR//ZJt3m70Q/K775QEXpNltT3syW1uYx7PbMXhQ6xiQGXWmvizu2cc2rwPRLMf8uv9tSv57RM/M623YG+VmP3NqlqiFQT/abIe0lVc9Zbebg0SAMtnt6GE9apL75/SF2VOk2vIR1carjvXq79rtcbc+rx97fMetL2YyI3W5Re1y6lqdeT6GmVCZ7RjN9R6QX9pVN0tHel8Xgvjfx6lU3uP7dHLtN9nHr9dv8mvLeh0PfeqDH4P25dgcl5akE3zuU0nhF/q63SfzcrujvZUrr6hN0YjlGiXHL4JyWyZjrHakXLXbG267b9agrnmcmOVeOdoZNk7x6LudsiDz8WxlCjqJvrK1H3znC+9kfa3X+FHEslzryDCThU+eP8j1Ny0d2SPwAmcpMTYeNK1vxLI8o5TanOdVXNIHLgu//fqdbn34VBkyHwsS6c8s9odGH9O+R+E3FtvSEvesx5zbw7IszfNIrXrpXtnT6R40ubfn/otGLP3p+f9lPG62ccztH3Y8CcWNCVjYZexsSVSMZckIWM6Zqm6zpBP//9Pps/VdI/zn/hN7uYZYdA4CeIUeNG8O5to4sSQN7h4s1HkYg7tX66HzFqTdeLDLeLojfdntJ8/UAS4hyW3ZLvuFnpH7ybad2mtso+5ZM08vXrmH7jt7nm47MRVS2W3bP/aFRXrovAXq37VKz39xqX7sk9rDLL8z5G3qNel/982SGk9SWrhyr9nrfuFgn7t0qX56zNTk3w115Z5hLDuCXzSPfLvtxOm67+x5+uUJ0/Xz46frZ8cl9n/GTHXPBlXmY9VGatK/nDVXvzxhuh7/wqLE8XL0FF20YkTy+dG96vSn02frnjXzMm4SWR4TWtxYlqUHzp2fKpfH7rc/xi2qg+2h8xboYqOM84d1S9ZVYVeSmseVvQ9/esxU/fWc+RpqTKpxdo68Vuw4B6CcIXdfuHyZrt1/jJ51pI5wmxT3+9Nm6bELF6mzx43JbY4oKJfvM0qPf2GRvuqSvtFv/4zr00m3nzxT3ztyku5ZM0/Pf3Gpvn/UZP3p9FTaOHN7Jz/T5bPsyWJeKcxMT1y0SA+eu8D3NV4Dem4T9OoqYr4DEeYmMPtLbqu43epWM1y7M695kBQNi0e6D3r8svUcNycJuF1b/nT6HP31nPma1K/es8MXiQQ/B3536iw98YVF+u0pqdRIl+/j3qm6bO+RnhOyzRSq9nXX73gzn/v6oeM9Qxl7fca9Z88LdHxlY9aZP/5c6npTX1Xqeu3fYUReKI9F9ddz5if/zvXGolsKmGgkMwVPn/oKPXDufI0zUp9GLPd9PaBrlecAovO49koL48U878zf/PD5C/Tspe7pcCKWpePnDNTdZ811/awwVba9GtM5EearB4/TPWvmeqbkcab/sCNIebXhzJsswwKk5HG7sevF/k639A9+zMXcnSqDDTKZoh4DaJL7TWh70zhfu2B4d913zjzXz3emaxvqkZpKktaePift7+e/uCyZFjSI7x45yXWg0Xk87TGqZ9q13Gls7zo9duEi/f3SJWmTgMb16aT7zp6n7x2ZSofmNYhsumfNXF1/YOLG+4PnLdBD5y3Q4O41+vHRU3TPmnk6cFJvPXTeAj124SJJ0heWj8g4NzK41C92H7BHbXlGe9quP5wpWr3OtY9ao96a+7qhrlx/PWeBfnXSjIzr7dQB9Xru0qX65QmZKV7+79ipeuKiRcnBXS/PXbo07e+zA0zwLc/ymWtPn6OfHTdNz126VA+cO19/PmOO6+vMdBgX7Jm6lps/8541c/W5mf19r6dt6QN2rUmdw1VlJXrg3Pn65QnTM26sZgyK+nzm4VP76p41c3WYRwpak9eN/amOyazRZJvI/XO6uwyMmkUOuo382gxfMdq0fp+X7cZDkAlYx84eoPvOnqd/X7WHSxnd32NGLthqLKjJlpL11yfNSPvbbmc769yzWs8Nt8Unf/z87IzHpPBRAsw0qX7KY5nnoN93PX1xKmVSrhPVD5qUnwVYbhNdnOldJLnexDnGmKj59UPH+37P6QsH689nzNEBjnLbbU6vOsVrO3pGyHP5nPVX76nrDxyrh89foO615a4To245ZqoWj+zhOj5jXksOnNQ7YxGY1/ebv6mLy3Fqfu7vTp3l+ZlX7TvG87nfnTZLfz1nftaUmWn1j9lX96gerlo5Oq2/e9neI9MmLoS5CWhfcxe7LDD1qj/8rjHORVzfXpWZ9tXP2BBp67yEucyVx6J68qLFGRPpzt9jeOBoXHZ7o7HOf8L1xStG6OYjJuo/X1ru+ZpYlvHqaw8Yq3vWzNUNB6euMfMaWhSJWHr64sW69fhpeuSChfq7S/8m20SWZqNB0dnlnAg7fG7OA/x/x03TvWdntsNtzqJ5pVLvWZe/G5st8Xja99555hx947AJyTGGvcY2ek5wfv6LSzMem9Svs/56znz97rRZ+spBiT7eamPhirMe/snRU9JS9Dnbv2E8d1miPN6LmdyP5V+dmLimnzxvUFq7fqHLIpA9RqXOkav3G6N71szVyfPcJ2LY4ySlJRE9edFiPXXxYt/xrj+clhi3rXBpM4c5n7Md427tMa9Umf2M8Q63eunxLyxK/ts8tpeP6el7HXLj7EvubInrxSv30PeOnKTfnjJTPz9+um4/eabrog5nW9ROH+d3vrq1Lcb36aRzlgab2C6l6j3nuIy5AH3dFXvoJ0dP0YtXptqnX3EZ8/UzuHu1JrpMQHPzic+CDyn7Yn+73qwsLXHt50Yjlvp0zhwHm2iM2Tj3kdv1uLY8/Vz/1xXL9MW9R+qeNfPS+pqX7T0qLSjFN1rTS7vtv/5dq3TR8syx71x4jRHOb53gcu6yYbr7rLka4QiY4ZZu0e04PG+P1HHmd1/2ugPG6IXLl+nh8xfoida6cvvOzEm4zgUHae0oRzSsbi6TPIOOid5x6iydt2yYa5m/e+SkUBGwxvWu06MXLtKPj56ScTw4RSyv++apx56+eLEePj91j8JrEY5f3zUa8ZuAlfn4rcdP00Pn+d8XMe//j2hIjW3Z98H8FoS2xL3rdGfzLGJZaYsSTUtG9tBD5y1wnchqmzW4q5p8olBu2eFft0Rb22BPXLTItd+JXVfuLTOgnW1rHdPzioDl1rG1LwqWZWmZ0dAf3rMm64SJ8ljEe5WeUbmHzenuLFtbeH13n/pKDe5erb+/+VHrdyUed16QnTflMmRpQRR6ApZ90bYnNQx0XAjN3WMXtbqsJHkTvLY85rvy3xlG1PU1OUywy5ZrO/G5kjwCP9VVxjIaf85UKsnPsQo3+cmL2+SPfEZAMZWVRDWwW3XGvnfuL6/95HaOmMet88bkApeVMaMasw/gBQlp3K9LKhpBtihFfo22qrKStEkbw3rUJH9/W1ar2Pu1qqwkY+AmbbKZ0ldOmD8lW6qe6rISHRrg5pgkjW2dbOG1rZz71l5dmMuqP2dd6IxkEnRST5g6sbK0RH275NYMc1uQnG2FhNdK6PQIWK0pCEOGeM4WecHvM+1zPK2sLtVdeSyq/q0RPbwG/yKWpXjAXVBfVaruteXqbgxueEXiGN6z1vOaPbBrtV5699Pk94fRo7ZcG0JGifDqEIZl1pnmQGZdRSxQfdbfiK6Sa+2fbQDA1rW6TP26VOnxVzakvddtBbZleV8PohGrTdEazfKag2C9XQbQUgVK1J9DHNca++1h2pBeh1csGlHvzpWe1w23lV2Jx90/z9xEQc7tMDe7c71CtTVVbNqkYccP97sxZm47O2pTZWlmvR02TY05cVNKHFtuN0y8jo9YNOKe1sVRjt5ZJk1FI5Z6tt7oc36Xs14OwlxYYrYlqspKkm35Pkb7JRLJPDecml32vfkze3eu0CsfpELj28esV7vZya3O2b6zJbngwvn9/eorVVcZ07SBXbR4RHfds+695HO15TF1ryl3vV5MH1ivx1rrsDrHxPJ89AnNCYDOzze5XfOl9DrN3o9+53Y++4D9ulSpX5cqjetTpydeS2yjeNx7taoby7I0uHuNJvbtpJ8/8UbG83UVMX28NRERxesa4Zw8kZqI6ZFmzvVz0gfog/B7ndnezyUKQRgtcffzPq5EHbfT5Vw0zw9zYUS2mweZ/YzE/52/w/7Nbn1rr4mOhUpB6NY28p6AHFcX4+aM2+YIUkz/Cf3Z3x+W26XWvP7WlqfqFsvKfP2QHjUZN9Ls10re9YbndvSKgGVlnmcl0YjrAkuTfR1yj4CVKoO9QOC51rG0zNe696PcbpbEjGtRZ48J5HHFfScV2H2gbP18c3+Y7RLPlf8RS8ONCEXOPnSYCVh+vD7G7/c4rz9Bot6YOuLGVbeaMvXvkh59MmhkCin4mJ5lWdpjtP9inGxppaMRy3MxcJfqMs2sdkY7Nt/rX75cJq/4Mb+7tCTi2xd2fnbPWvfxkVwiW/bvUqnXPtyS8bizjzK8Z23aeSWlR3Q3mXVq2ncZ/ezB3WvSIkw665EwkX38dKspS55nXvvI65y1609nn9f58j71FRrTu053/jMRfSYW9T4OpfRta491fbLN+wb2GJ+Jl2GOuqwRsFyeH9u7k5576+PM1/rUxRWxqHoYY1Hm8eA1LuUno22lRF24tPVeWHksqkn9Oqt7bZne2bQt7bXOn2RHkQzbRxnUrTrU+eVV75nfW1EazTjOg/bzTP27VumZNz4K/T6n7h71is1cLNbDZUJtNGLJMorvtol7da5I20duYyHOMYzK0hJ9ziUTQyRiaVD3av2rNTphtjHfto67pD7H/XH74+36wnlNCXrMpS0k9umzDupWnXaf0IvzvDf/di6wKSvJbGMEvSdmL6Z0q2csy8q6iMX5+ljU0oJh3VVTHtMmn/oxEQHL7TNS/64pj6nGqIdyORK8JnpJ7vWwZVlp40Pdasr0viMKf7b7tb4RsOJxnwAI6e/L1jfrU1+pKpexwNT7Lc+2czwed60bnadbF5fJfdj1EQELu4z/tvZ17BsEznrxvx9tzXiPV4Oivip7heY34GBWmtnaBrUV7pVzYYYGU8yw6/Z2CJJKxlTX2nD0GsAo0PhmUrYbR+bFMpcJQGZnyG0GuxRsPzlXppgdsr71lcmbdibn4Ew2XpO6OmJwye0mr1uY57bolyXSmHMltDm4ld44zv7eXJkr+sJO1PMaRLQ7ktn268vvfZr8t1c6ubCChjiNK+7ZwA0ycSM046vM7fbGhswBMCloar9wutW4rRLLfJ0ZIaQhy+rVILy2ZnnMZeJJ6/+9Op/mcWLWfWbH3d6v2cZM0kMwB6uHwhyb2QZtvCaF+OWbD1Ie7/s/3se1GRXRbeW7n8rSaEE7WNlWULtpifvfBHKTewSszOug24CvfWNuu3Fzt099pWsbrzQa8dymQUOTezGPGb+by14DpgONwXSvFHdBxdIWAqT/38n5HfafXoPrFcb5HOQmSQ+XVbRe15MnX9uY9fNs5rXa7fNqQtT1Zj3nPF7d6oLy1kE184aH34C/WxvA77QIOrDY0+ccdhv4c5YjW/1iDiBlSxdhfnKh2/8mt/5YWpvYURb7eHRuY3OilKmPSxRCMxW58/hOH4xN/46ymB2lOVOvTt7t2iBVqN9gXxhebaQeLjcT/K7bzutlmOtNpwr3a2VPIxpqSTSScZwF2U5eEfLM9mN9wCh6dv23xWMlfLa+StCbzM5JD3afpmt1qXwO9TTZ6hS3vqiTZxso7n0zxrzebTdSOtlphbw42412+b2OuSE9Mm9ee/3mXFNGujH7t26RXDwjN8X9/5baPokxl0WA2SZVux3TZp1h9r0GhBjLSKXzzH5T37wWNXmkwDO3nV90RufxZPezd7qMZaS1qyz/rWt+/2sfbnZ9jR0hz2x7eh2adRWxQBPesx0zH3yaGuszX/vXF92vf4nXeX++WTc5+zhhJjp6vdJv7MH5+WH7Gl6T3QrtH2+nT8DI5TyvzTLZzC06+ABHnZs2STHgvqryuUyY2z/bts32fWEndIQZX3KOsZltOLM+r68qTbYlg6Y27+dR5wW5V97W49HcYkEmnuTSTjev2177sH/INPDOPnHf+krfdrSTW6Rwv4WqfkJFwMphA8YVd41AE+aTzK99a+PWjMfC2tbkvuLbdRKE49FkMIOQ39m9tsx18YyXJ179MOQ3JLzz8bbsL3IIE7XbT5i08G7b76GXP0h73G7qmO0tZ3vMbbw1aN0luU9G9TrOw0549lLhMUacOVEw+1HmNqaRNqbts287uVwz/TIoJV9jfP5d/3w3+W/LslzHS2s8JtR68brHFyYClsleVF5f5V6OiGW5ti/86uGw9y2lxP781383pT2WzGQVoCJ2SyFtvs/t/POrs+urSrMGQPD6201jJ+/zP2JZnguE4nIf22vneBroIEzAwi6jc2ufJRmyz1ExvuDo7EqZF9AbDh6ngyb11r7js4fhb2r2rgbNAZJsbcts4Und0mUFZbYxbjo8PSy32dm0bzy98r77AJGXFa05yp0dJ7sh1ZYV29cfOFaHTumjm4/wDid+YYjQp34T5sz0kyaz+GaI2/TXZP+N5y7LDLG7oDWs6u0nz9R5Ls9fsXJ01s8NUg5nw2/F2AbdfvJM19fazMbJzBxSGzr7vAO6VukYl5UWQc0Y2EU/+lwizc2swV2019iGZAobL3s6Vv3Zx6qT23ZbPqZBh07poy9n+Y5sVoxp0CGTE5/jNgHtKEeudUn60n5jtGpaX80d4h4O3R7oHNqjWsfNHqAzjLShZkPzsVdSHVWz3e42IeFgj2Pb9pWDxmnvcY06KMuqYZsly3NQJq5E6hrJ/fe31R0+qRtso3vV6phZA3TZ3ukpZC9eMULHzxmgq/dLnHv/79hpgb936SiXdApGR/Gnx0zVPuMadf6yVDqf/zt2asZ7bN8x0ij8/Pjp2ntco77nqKf89tvAbtUZDXu7s+C1kjLt5rlxzLitHHJ2YOYP8w7HHItG1NipQifOG6hTF6SHj9/TSEHpPBf/7+jJ8uIWNt7kFbHGsjLL7pWixmvFkSuXy8s1+4/R4dP66oI9hidvbO7nk9LXdNneI3X0rP4a06tOK8Y0ZA0X7cdMt/TTY6ZqxdgGXXfAGK0Y06BbQhzjtnhc6u4y4dBv8C/XCIjX7D9Ge41t0G0nztBpCwbr3GXDXAcz7ONy45ZUZ/yyvd3TRXarKdNKjzbeoG5VbZokGvRmk5lC2Kwnvmqk+bBXtrl9op2Gy+8aZYbdT0W0yj75MvF3+v+dzDZftkGInrXlOnBSbx04qbduPGR88nGvst/21JvJf2ebZP8LI8XbMbMGaL8JvdLajFmjuBrMfbfdkb7W7aanfYPhfy6LO/IhYrkPuv3k6FTa7M6VMZ2xeEjGa2yuKTxb99d3Vk3U/hN66WgjZYkbc/LR8XMHas/RPQOllC10BNxsGnyO0WONdFlBHD/X//XO9GTpk5nTX2tHPHDbPhetGKG9xzW6tz2Meun0hanv+/5RqeukWzrQTpUxrRjboN+flr1tZBvTq861jXT6oiFaOb5RP1yd+k6/GxXOCYA3Hup/3Hy+9XeNaKjNSE9ts9uN/bpUug6WBqm+Fw3vrsOm9tW1+4/RhUaKRfO6sHSU+/c7P9/+9v953OS54eDxmju0m/rUV+jHreeuWeSgp8lZjhSUtx4/XSvGNOjnx09Pi74V5Ly79Tj36/7UAfVaPaOfrljpfu2U3K/9UuIab24aux0tpZ9vZl/8ttZ0RIdNde9buNVfkveEphNc0jd5bY2gURnNFCtmapZr9k+lgrtkr9Rr9hrbqEMcfaWg0QPc2h5eu/Pa1u832xJ+zNRW3ztykvYZ16gzPa4dD523UJK0nyP17h2nztKKsQ2u9f+kvp11+LS+umSvkXr2jdQk6i/t750yT5JOc0nt6JmSxKhqrtkv1X4w01p6fc4X9vQeL/r9abO0YkyD9p/YS6cvGpK8gec2bGROlLIs//PXbFM86xFN47etfVazjeF1Di8Z2TPQjWGz/3Xr8enn+mFT+6TdWDM/7r+OOswrsp79r1uPm6a9xzXqkr1S14mfO9LuPnnR4uQNNb/26pmLh3imRDt29gDdfvIM1+ecfT2vSaC/OcV93GvW4K46eHJvXbR8hKb0T7QXzTaWm1uOmar9J/ZKngdueyvbefnQyx+k/e13HP1w9eSMqPdSYnzuiOl9M9oYdRUx7Tu+UcuNca/ftZ67zrFg873ZJpN89aBxOnBiL03s6neRTT03b1g3HTG9b9q1wJQtG0Cpo442U3N+M0AbVJJnKrG5Q7pp1bS+Wji8u/Yd36iT5g3Slw8cq/0n9NJdZyZSM/fqVKGZg7rot6fO1IoxDfrR5/yPC9t1B4zVirENGSl0g/Qt3VLxhVFVVqKzFg/V6YuGBFpM+vvTZmvFmAbf49VeRHz7yTO1YmyDbjh4fNrzZhvKdtW+o7XPuEb9OMs2+/HRU7TPuEataU1FZ3/Hlw8cl1Z/mtfQU+anjyOtGNuQ1ne25RqZL8ykZa9zxi/tXTwu/eqkzPooTJfJrI/tCIw/WD1ZK8b6R7wLzaVQzofsfRO0/AdO6q2V4xt1yvxB2polzZbdRpS8F8hk43b/L5ug7cNsQz7OvqH5+iDjRc0tcdco22N61enoWf112d4jdfGK1PX3+DkDNMSIovfbUxLnU7a00KbPt/bz7PsuUnqbYtqA+uQY9b4TeumgSb31tUPSj/fvhEwF3LdLpU6aN0ifm9lfK8Y2aOX4Rq2e0S95TU6Ww9hkZvo704EuKbmzLUQ/f4/hOnHeQNcoe+6LaByTcTzT6GXeh5O8072bqYlvMepkZ8RYu48WdGzVOc5z/p7DtXxMT32jdb999cD0dnrEStx7C+L3pyXaFjcfkX6PYkr/zsn0ut09JtFXlEbTFrNJ0m9PSVznnfWJW19hW5P/JNtTFgzWvuMb08ZJ3Cbgff3Q8dp/Qi8dMb2fdyRYy/l34gFnm8p04Z6JMR23+z2WJU3s21mrprlnfbGztpgKEcMAxYcUhNhl2HWS18oTt8gGzgvm/hN7a/+J/pMRbH7RS7xSNrjxvKHb+vABk3pr1uCumn7NvYHK5fXZzka5WyUe5sbj3uMaPTsei0a0PczxwZP7ZA0THyaaiN+EuWWjeurq/Ubrot++kPa4+ftKo15RvoLMgM68ifjjo1MX474ux6zZWDln6dCM54MyO62LR/TwbSjYetSUJQfivnrwOM245r5Q3+k85m88ZHzWCRMLhnXT/f9+3/W5sX3qtHB4D7127YrAZXAem14TMtyO4WjE0rUHtG3ylf051/kMOLrlhj7coyHmZFmWLt5rpLbuaNbX731ZkvdNxWwrHK8/cJxue+otz++yb54H5TbJxRaPJ8Kkh9mX9mcG0SVAGH/LsnSp48aiJB03J3WDYtW0cJPDskXOmTe0W8YAqlc4dee2mTGoi2a0ToTsWVueDDXd2KkiI/SuKeNGobEN5w/rpr86zrf0dB3unVW74+K8oeS8UWM+bw+yXth6A+T7D72qHTsTnSavFAGHDmzW9IH1rs/Zykoi2r7TvfPlNbARsayMso/u5R6K3q1uDzOl4LCpfXVY67//8cVlGc/PG9pND7zkXucdbUxYjVrS819cpv4X/CnEt6dcs/+YtJuF9nF4yJRgdY2XkQ21yTDlWeXYaexeW65vtV6zpg7wPh7s+t0c6OhSVaq3NrpHwfMa+G9rmq+gk07MNBPmWyb0TQ02JVMQunzmPq0TBQ6a3EcX/fYF7Wid9WwGgjDbHdkmVDkjPcR9vtssWxCPfWGRpMwBaa8oYOap+90jJ2nFNx72/GwzRXBFaVRfMyZ4SeH2p1nPOcO6+92YiuWQ3kBKrLTza3JblqX9JvTSL40JaVJ6GpFvHT7Rc0Kt/Rle9hzToD09JqZL0pDu1bp7zby0x7rXlOs7R7gvWHBKnAsdN1pknuLOm4xhI8N2yRIVOTNiVOp3m3WC2a73ir7qdWPR3JIrxjbqG/etl5S4Se7Xnjpsal+dv0fmDTI/Xm2kmvKYvu6YRBVmol22CZVnLx2ms5dmLkgxxaKR0O1Hp0jESrsmXvPnFyUl9mO2z3YOeCej9njcsGnsVJE2kJ5RlgDb74erJ2esNB/ao0Y3td7k+IeRzibIHOCZg7sqGslMf2BZli73WfzjddNAkhRPb3OumtbPtR1trti2J7ok0rin13NlJRHP+succDZnSGoRW7bz1BR0srTZp9h/Yi/960+JNs8Yo91ofq/d7zPrbb8FKX5/S951+KFT+wZK126/fdW0fvrug69IkuYO7aalo3rqx4+86vqennXlrufB+D6dPMcQIhFLX9ovcU6d8Ytnk4831vmf8yfPH6Rv3b8+raxBIvGYq8P71ldm3MSR0s8Fv0iPoxrrkueSyW0yT1qkKsvyPX/T+07ur7PbQWa0Gq/2RtBoK+bLZg5KnR/7jm/UNfuP1d3/ujvQZ3pFurVPv5mDu2qmYxHpUEe64M5Vpfr3VXv6lvfUBYN05mLvca5EOqz65DE54pI7tbU1YktGBCyPz3CLwiolfv/1Bybapse7TOB0mtK/s+YO7aa5LhOibJ+b2d91wpTze8361+8ysGhEDy0a0SOjD2hZlq7ad4yu2ndM8rkbDxmvfSdkLvQZ53HupvX1s1yLDpjUW/uM7aG1a1/3fZ35eVftm6gTnOOrifL7vz+uxFi7PbnZjHC497hG3XT/+rTz3q09Pb5PZ9dUYpGIpav3S7/pfNDkPsmFhmb951U/eOlZV+66rYP0m8JGy3djL8p4+d3MOtFpdK/gv21Sv86ui1pOnDco2Yay1VXEAi3UWDCsuxYYfRrzO9LSwhsHy8Lh3fXtv/5HUiJamdc1Keeb1Vl2gTle7VX/j/NJcRhXYrFEbXlJWhqwMG1p8zCx2wgLh/fQwuE99KfncxsrcuNWImcx7XIHnbi2cHj35OTQbOeEOe6T66mRS5SyoNHQ/T571bS+aZOK5w3tpp8eMzVZVwf9DnN7299nWVbaIkOzvrr96dR4/oS+nXXT4ZnnrJ9a135e6t/fXjUx2Z6KRSP6cuvYzlm/fE6StHhEd9+xBS8XuEzkzGBsjN6d3RdouN7vtcznM/fZyY5JnWlcjlHnV3hdOyMuEbDqKmKekcNOmT9Ya/+RSLs6y2hbmcfZpH6dddSM/t7lNXj1Z3t1qtC3V01SU1OT1q6T9hnXoHF967X4hgcktUZ3DVgfje3t3rYwJ5kO61mTkWXJLfjFD46arJGNiclmzm8/ModF+9VlJRkLv9xO2ZXje2nl+F6ezyced0y6a/1zxdgG/ekfPZP7zdTZZ0xHSmznq/cbo589/kbGc15R4bD7IwIWdjl2heisP91DSObe0fFrdJkX4jDhVb3k2uj0+31uk63ChLKM+aWdaKeV72Ea1W6h5E1uZU6fuOL1vsBF8OS2L8zf1pY0gpG0Dmz492QbkHHjHLQMsp/8Gnr5CgXspj3T5Dhlm7kfhHnTxzx/vSbT5BqSOwzL8t6u+coXbzI/sqOjbpgKURTndt283X3lt+S/rbMNqpjb0ZyMYHdcnYOEznM8rbPr6Hyag85eNy2DHKV+R5LXwEbEshRtw8o2r3oql6O6iA7VUOz0Ms7f7Nd8KPQ0DHtClTlg61fX+W37tpQ1l33q9Ra/FIRmm8Ec3DEfN9+WHCD1KKDfBHW/snmVLwjPFYMuEz7bg9nWcbaF/doguaatTExPyrZAI6eP9hV0xWRb+y4dXb95tYFyWRUftl2R1iYxjmdzAPLDzTtCl8NmphjOtlK74LshxBcU5Hh2RhFqQw0e5J1eE9tzbXsG6R9l+2yzegpajFz6Pn51QtCt7tYudXuv1+R6Kb2uNutft23p1Q72WpTj5LXtzfMu18uUs2jOib+J78/ts232293OixwDhGRl/i639nbc49/JFJMe29y8wWveRPM6h8z2TtCIFia3Yydtv1v+51vaBCxH5Cwn58SutvC7GdhagkDf5XXstXWhQub3hPs8t6jMNq/zPV9jPW6TDJzFD5ImMkxqxjDC7pq0fn+em9u5THwwtbTEPdNlSpkTBN3quHy3Odqy31ri8XaNYJG3r+qgsBtmnZnexgk2rp3reGO2Pey1QDHtM/zGGFqL5SydXz241ZEiMG0btFM32e7LeE1ECHqumfulPQ6tXCY17nCMH3nGSvD50Vs8InPanNcJz/FFj/6kl0IcD2YZsrWdC7lPc61+zfHAsNclt5/jdQ5kvC6SmQrWa2J75ncEelnemMfj23mO7O52bLu1k7zuQ0jBhxqyvS5b+9U7U4DjdY5MH2Flu0a4n8eEwPosYAIWdhmpFfvp/7ft7bJysy2dQ7/3mhfbrgEisri95gAzEpdPMd2i3tihJu0w+GNcInwc5PKc2UBxS5snJdJ3SdKBWdKW5ZMz9KYtyKCNHa51RpZUettd8p9v3JK6QeIZEj9AGXLJkW1e2L0aa/ZqZDscs1suYfO7DwuwWlZKpW6qKS9Rp8rgUcZsznCtQTpldghOtxXy+VgRFtTiPERvC+qnf3utzZ9hDgaZkwzN9C3vbkqlFbjj2bddP2dYD/doTLmwLCst9Uy3mrLkfnWmhgzKmd7FDNl6/4upsNTmwPOCYf4rUAutEEftqUbqoSUje2i7zySTNY6UNWE6HeY595tnUseM3fF2diidA/7m+zc4bjSfbUT0W+aR5ifQjSGf1/jdbDHPGTMy5NmO7eWagtDjM4e7pH7Kxo4OYaeTywczGkShBYmYmWwvhIigl4vVMzNXRg3sWq1PjNWldjjtI6b3c71ue6VBysZMqxnmxpSdzsgZddVus9ir35znsSTNNlLUmu0Dr/PGrVRmeqfGTunRAbLtWbs9PbBrVXLVmBnVKwivttMlRjh98xwc35oGw3bivOzRCrxUubSVzDrLeWg72yBjjdXNVaW5B4teOtK9/rPZx4ZX/WI+fvyczL6AU3VZiToHbNOFmahkr/Y2o9a6TaDwixrRFme1Rs/43Mz+yUG9KUa92tYbxvaKzKDMGwxex/lPQrb/zGPSXJThjOY3zREpMNc2V1Bu55KXQkyQdx6mzpQfYTjPe7N/bfevDnVcJ+xjy6yfsg2wH97aF5vQt5PrIPvAbulRkc2Ubm7MevLp1zcmP9tPmDQ79m/zi0o9vGdNMlrzkdO9Vyq73RSdMziz3eJ3PXnJiOyRLY1VN4/UF9lupNufO2WAez1SbvRxcj2uP78w/Vh1jYCVp56EmTrS/m3ZovTkyoyUlm0Rl7nK245qbp7T5jnoFglCSh/b8Erh5RVt1499XTl0Suq4N6+fW3e0+F5bzDJmG29Mm2xgvNSZgieIaQO7yLISKbVNqbK6X5/GOdpYXlFyRzd6R3eRpL1CpsHy24bOc0RKn9SXsV09mi1B0rH5md1aRx3l0tcwI9dKwSZ3Om/YBTnP7XPhdJdtkqu+9ZWqiEXVtbo0L4sdzerd3K/mWOSswam+mOkYI/KzlGgv+i0OOXleou9ln59uXVK3sf+wx6fp4hXeqUyzaYlL01ojezvHUILwu6668Yoy7OWI6e7ne9hbvl7ppsLyioBlnvJ+7T331GGZxjqiVU3Pknor4lEuU0OWyI+SMjas130X1zIYX/vRlqa0547zyIbgl7llvsd4qfnzTmqNEOj8yW9tDDZZw96fE9MifQc/uq7ZP5VRwhl1308u4/q3OiLSXO+RFcPeJqcvykznvK31vpIdxcvOcGGPhzmjPrpFvOnVqSKtvxck88vUAYnjN1vbOIz6qlJVl5WotrzE9V6TlGqrBL3XlAv7Gmimiw/il0+mItKGvc65jXU6o2We7FEPRSwro6/hl9XGrLNyHbcIct/ZTVsnTPuxr13mmJX9+8zrlNn2P8oR8crcHnY73y1qmluUxjCcm8E+X/0m3b1j3KNaPKKH6+cuG5X+uHkcOuuPwd2qXa8thVo0g+JCCkLsMuw6ySsUqttNzraMBfsNKpmNc3OQzssD5y7QqMvukiQtGt5dF+81UgO6uqdSdFo1ra9++HAijPx+E3rplPmDkgNNs4d01f3nzM+4uSYlbu7df858zwa5M8e67dcnzdT/Pt7mWz7zovT3S5do09ad+tb9LyfTnL145R6+v+mJ1pQ1tt+ekvjOBV/5q+/73Dx64SJt3LxDfer9O2KdszRqPfe38XBtuXuVmW0w3q2RFbWyd/BuOHicTl80OLm/n7hosT7askNzrr8/ORBhNsAXeAxMmh48d4H6dqnUQ+ctUOeqUpWWRPTUxYslJRoLv37mLa3OEga0xpESJ8jg9KIRPXTf2fMUi0Y05/r7057LJQpXUGaki3vWzAvcYc/Fi1fuoT89/z+d/avnJEmbtjZleUd25rHTZPyWUcYNQ3MA64NP0yfDPP/FpZKkm1ZN0OIbHmxzeaTEKRGNWHr64sVqjsdVHovq7rPm6b1PtnmmiM1mREONXng7le7MTBdoTrIwD5Ufrp6igV9Ym9P35WLW4C56ZP2HOb//8wsH67jZ/pMKDp/aV2N7dVJ1eYkGdK1yjexnDxCeMHegXvtws37+RKLj6Ray3JS+8iT170+3p7av3ZF0TjpwdtzMv0Y5bl6fPG+QZg/uqtrymPp7XEeCjMn4RbowB7fP22OYrr/z38lymfXRKmOg4LSFg/XEaxv00MsfSAo38dMvvYmXJSN76N6z56mPRxhtp/VX76l71r2nslhEExw3Sl68cg899PIH7TqBNIgg7YV8VO9zhmQOHtZVxtRkTAL56TFT9ebGLRrUrdp1comdKiPs6r1zlg7TTfcn0iGEuVb95hT3beNssxw5vZ8u/8O/ks9fd8CYtPeYq8i8IlO5XYOPNerQSsf5nG1y3aR+nfXXc+arZ125ymPR5L+HX3Jn8jXzh3XLCGNvMk+vK/cdrUvuSKQo2Wtc6uaI+dsu3HO46qtKNbBbtV55/9OcbqjaLthzuC753T8lJSYqfNeRVs88PtwWAJghxYNEO3BjWYmJPacvGqJvtKYRtj17yRJJiYFbt3b6c5ct1ZYdO9PqnQv3HKGDJ/dRZVlJchKf031nzwscUTXMBKzbTpqhtzdu1UBjn3StLk22N/7v2Knq1aki2E2JHJy+aLCWj+mpQd2qdfbSodq0bWdaCs62RC347SkzQ9+8TY/KmfNXOz7TiHrnE03l/46dpjc3blFjXUWb2lxBZbvZ/OfPz9Se3/ybpMJEwDLrvHvWzG1TveBsU6wc35jsXz976ZKMY9xkpri6cuUo19fYFgzvrvvOnqdenSv0K5f03z9aPUXzjf5utujU5nXHjpTwixOma9jFd3q9JdS++OWJ031/u5RoA526YLCWjerpuw92utxQ79+1SiMaarXOSGnsdxNh287Ugikzvf3Olsz2sLM/anNO0r//nPla9NW/Jge4n75ksTZt25l2c8B8R60xoSDXw9q5gM6trmhz/dG6oytKo3riokUqiUSSbdvB3au1aHh33WssYskH8waI23FmPmT3FVviqYml5qS5C40bmyi+oQAAiDVJREFULOb7zOiYc4d2031nz9OO5hb1d9R3z16yRDuaW3JaCHfC3IFaNKK7BnRNHc/mtbU5HvfdP2YZs12DzHPY7E/98oQZ+utL76VNCvjqQeOS4whuBnSt0l/PmZ+xgM7+ihaP69PqGf205s2Pkn8vcowZPXfZUm3evtNzUqPtm4dN0H4TemlalokMtvF9Mid0PXfZUj37xsa0lMs2c0s6b6Z69QvLAozFemmsK9ePj56iNzZsca3betSW69cnzdCBNz8qKVg/IDP6SfZyXLR8hA6d0if0Ygc/NeUx3X/OfMWiVl4WO3pdqf52wUK9+sFmda0uU6fKmF7/cIuG9kj/HRevGKHDpvZRQ6cK13FbZz9mj9E9dfdZc5PjCG7fPb5PJy0e0UP3rHs3+di1HpMpglg9s79mDOqqO/7+tr7TmgbP5JUOT0q04Xp3rtTD5y/IqT66fJ9R+r/HXg/8+qqyEk3tX68nXtsQ6PVX7DNaq2f015KvpY8Fhj0q/nrufNfHve4reCnxiG5pHgd+k9JqymN6/AuLVBqN6Nk3N+qYnzzl+rqfHTdNb3+0Vb07V+qjLTs8U5ulvj/1b7P5e9zsAfpBa3vRTD3302OmavWPnjA+wY4YkHrk1uOnpaWLzcbcBhMdE0C/sHyE7n3xPb36wea0x39zysy0v+cN7aYHXkqkUhzc3X2Rj7nv7YW9zvNwy46dro87PXPpEn3i6JsFWcj31MWL9e93PklLyXbDweO019iGrJPlJGmIx28L6vMLB+ugyX3U2KlCq37weNpzdjCDsxYP0dwhXbVjZ4sOb32Nfcz+v2On6a2NW5Lt5+sOGKuT5g3MuJaYbaEpV98jKXFfz62N5KdXp4qc6xgv5bGo7jt7nizL8oz287Pjpqf9zkJYMaZBQ86sUf+u4e7VmOPYzuvckCzXU+cRunJ8oyb27ayHzlug2oqY3v9km2efJ2Klp/I7ad4g34Usdp2VywRd28PnL9SGzTvS6qAgco3mbtp/Qi/9xmWh/5KRiXt8nStLNeHKRApse6t0rSlLRtwyx51mDu6aNj5mVi/fXjVRb3+0VVWlJbrWkf62MeTE468fOj7tb+f9keta2wuZE7BSfw/vWaPHX01cZxd5jMPfdPhEvfbhFtVWlKT1w6RE/bH32AZ1rS7T9p0tqquM6b1Ptrl+DnZ/TMDCLsOusu2KMzNUYOZ72rIaN2hHNcgtDPMiGYtGMm7IuQ1Y2sxOyc6WuIY4Itn43fh0Pue1cslUHotmnRxmbptOlaXqVFma1iDza0AO71mj7rXpN5uCfKeX6rISVQdohLjdbDIHzLy2h3kMeQ305sI8vLxTIETSOk32b7WUOu7Czmjv2zoByRz46Grc5HOLuJZN0DIM7Fat9zZlNjjyuIgjg3lu5XNQy015LBpoElyuzMk43n3a1BPzh3VTbesxm89UT/a5Yt4criiNtulGoHMlj3luekWbaM/IaVLmJIawl5f+XapUV+lfh1iWpTHGaj23KCP2hE/Lsjw7hW5FMycte6Vftbe7M62I8xw394lzVZdlWRrbu5NruZLv9302wW+CgDm4bUZ3s6z0Y8eZ/mRI95rkBCy3QfR830AOc7O4JBpJi2xnKo9FtWSk+6qbjhTk2l3IcOVmGPnSkkhye7tVDfYxHLY4QdMhOHltG2ebxXluzRiYPkhr1t3pp4Tl+s9cyurGnDzpNpGyoa7CdwDQrGMqjTrC/D3mb4+VRJLtW2c7Nyzz2jBvaLeMNqeZastM92Yz67Tc+xGJ9zmjfnaqjKUtCHA7RuoqYhnbNhKxsm4X5+/045YOy0tZSTRj0NXcj3UVsbwOykas9GPdslK/vaY8lrkIIMeDvaasJCO6RRDmlitE1Cfz+uusP816rtCTr4IwJ6oUYluYP9/rJlLgz3JGvjPK63aMm8L2tQYmr0WZ73OuMM+2iMftu9sy4cDts4Kcv+Z56MUr4sGInjVpE7CCtgvS02UHe4+Uvs1GNtRqQNcqRSOWWlr7hG71iMm8QZJLWlMpc1zBfWFE/s4ZMwqWrW8BFh35RZN041zAYLbfvSZ4OifQeR2f2RbX+bEsK6NOMfsF8XjcP4WfUfRs9YP5WmfKoYXD09v2nauyjzW51f12Ecxz0K9czp/m1u5wf5+lRR5RANy4bcO6ipjr5Csn53FQiP5ENJq46ezXXzNv+gW5FORyszNIGy8XPX0i44Tltf2ryko02si4MMwlqqv5+9zGbZ2HifN643VtGeC4WZ/rogn7O4f1rPGclOR3PtnlyzbBx0su7dhskyWdn+92fIU9pZxjYTa3CD9+Yo50r6l/m2Pz/p9hT4z3u47WlMc0vGeiXgtyv8ArBaFbul0pc3F2MmOL8Vi2yVcZ97TMaJyOPmokYmlA16qMCVjOgABekYzSvzfzPojzV9qLfLPti9ryWHLM2Rbk2OpaXaaug9OP4zDXGLNcpSUR7fBJb+3GXoAzyyVSq/3ZlmVpsiPQg729Sksiae2TaCSzXWFztoXszw+7yDPXOsZPtvED5+8sBLv+DcvvHkdllnPeeVmxr5f2fTL/ca70v4d0r87apu8RYpzGTXksGnoSkpSftMh+16iB3aqTUeHS3mO8xdmXMqO4mp9cHotqULdq/TcPqRKdx4ZzAZ1dxzubbGYdbPZTvBZMJe7ZetyTcek7ux0nQSasYtdX1CkIm5ubdckll2jAgAGqqKjQoEGDdOWVV6YdnPF4XJdeeqkaGhpUUVGhxYsX6+WXX/b5VOyqnA1aZ7XldvFd/96nOX9f0JsTYS+kztQDkv9F0bwA/OG5/4b6rkJxi6oVNMxs3yyRqkxt6UQ7OTsFUvrFzzsFofn63L7b7YJqNmLqAwy2mcwLfCEGV8MK06ZzO0q65hBdxs8//5sa5G/v7WMeR92y1A1BBgJM5go/83z7/XOp1QjmZ5oNXXOiQk3I720Pzhv85nb0Ws0rpW5c9W+H/dzW2ihoZBKTW8rOIOVwq6vMS6R5Xelh3LSxOxl+KQel9IlhuUyeDXK58BsMN6/35nYtiUbSjh1nZ8+8drnV+WHPyd2Zc3WyX3h7U76iDNqRKfxSYHmlW/MbAPG63to3XP3KX5vHFYe2zJu06c+bbUbz31aWtolfypN8dPF//fSbvs+bZTKjSpinXZgIErlyq2vM9r1bhDrz5lmu+9wlG5AkZZ2cWijOqFnZou5k47ViPVdm32BYz3ApAZ8zono4+a00deuPBWGmYAn607NdW8y9YUb9aMtK2fZgdtMKcQY3tHGw2k+Y671ZPYU5ddyuN872VLZxhGhafzFYf8lt8n5YA1vbdmHqZq8oeM4bBr1c2rY289plnl9uk2W9mOeQHSU8Wz3VxYjKZU6Ka8pTXohuLn1dZxq5bJz1uDMCrVPPApw/6ROorIxUWNm2ljNyk82cGF2o9kA2zsllfuem2X7ZaKRid0bpktL7KdmOw1wjW9ifa96I92sL5yv9ZTZhFy+a555zIpNZZ/eozc/Ykdv+8hXgou/sR+RromU+o57koqosfxN/nbJtoX4e48fOSUj5WHBo1kVmJK/aCu82Q+9O7T8em4/JdUGidNup0Tr7LCKsD5kay6sPUVkWrP4y5XPsJj0dYurfXm1R53fbYydhznnnK823urWp3MZj/CK4BP1eN/Yxn0sN1h71lfk7g06+Mu+jmO8J08bMhyApB5GdX5XvNo5uyoiqGaK57zzH8jFGaLanvcY4c5GP62K2cWC3Ot3cQtWO/ouZ2s9tMUY+onY59695L81tAqotbQKW8bu8siGF5dbFIQXhZ0NRj+pdd911+s53vqNvfetbWrduna677jpdf/31+uY3v5l8zfXXX69vfOMbuvnmm/X444+rqqpKy5Yt07ZthHXb3aRSECb+72xX5ju37cYtO3yf/8FRk7VyfKNOW+idn9z5+r3GNuh4Iy2MrXttuU7zyi/cQYNQTrMGp8LAnjI/s6zZclH/4oTp2mtsg67ab3Sg7+tTX5FT2icvC10iE5kRhczNfOMh443H3S/AbWUpkWrosKl9tGSke9QTL987crJWjG3QHz8/W5fvM0p7j2vUrcdPy3jd1w8drwMn9dYhPuFQ88Gtk5kt5KvtoEm9dUBr/uV8eXj9B8l/33DwOK0Y25ARmrlQzGPk8x7ntO3XJ8/QijENumfNXB05vZ+u2tf/3Hjp3dSEUrONZqYgPMII122mkdu6I7Uq4bentm1bFKJKunjFyLS/o2mD4N6ree84ZZZWjGnQjz43Jf+Fcsg8zMNtiFyuUdfsP0Yrxjbo1yfNcC2I98TXzO9KH1RKPW6me0xGwHKU1S/lwoXLR3g+5yVIH+P7R03WijGJes7JXBXdtbpMZywaojVLhiYiBPqU9ZjWCH+9O1ek3RC5bO+ROnpWf413pP6TpJ8cXfhjq9BuO3GG9hrbkP2FSkUUu3rf0dprbEMyVdAdp84K9P4rVga7xmdzy7FTtWJMg359snd9dfi0vtp/Qi/ftBBSetqIvcc26uDJvfXVg8alveaOU2dpxdgG/dilLrly39E6cno/zRwULOVKWzjPvS8fmCrn945MpdKLZ7lZ6Tf26rXA4Eefmxy0mGnXHTdmfTOwW7VOmjdIF+w53HPie65t+BsOTmwfc9tkW0Ft1puX7p249swbmkpzGTNuAE7p3zn575M9Umxc4ZKSzP5aZx193rJhrp/RVtki5P36pJlaMSZVBwRdNOHFa0Jvrsx69mfHZbZnc+XWt/pd67n+rSz1hpdTjM8M+tt/ZV7DXZi7o6I0qnOWDtXnFw4OFdWsUL5x2AStHN+ofcc36muHpNeb5vlciLHD0xcP0crxjaHqJi/OxTD9u1Yl66Vs0n5niB+6dGRPHTa1j647YIxOnDdQF+45POOYOTBLH8h8/b7jG5P/nmGkZ7ls7/Q2dD788HNTtGJMg353WrBrvySdvXSo9hnXmNFuctadzja/F/Oy4FxBbNb5Tma0itMWDkk8luUas9fYRh0yuY++fODYtGuqWypwp6t9xjZuOnyi9p/QS0fOSPXPcq2DvrTfmLS/z1w0xPf1q2f2D9RGCqOytERnL0nUT12ry/TTY6amXVuyGde7TsfMGqBL90o/BswFE/ke08tFXHEdO3uA9pvQy/V5s4jmhMIvHzRWK8Y26PaTU3V+bXlMZy0eqtMXDckaCXli385aNa2v72vc2NWE10JHZ71VgICFab6490h9bmZ/TezbKdT7ehoTDpwLl6YOqE/We852ws+Om6a9xzXq6Fn9Jcl1XMz065MS/SKzje0l7LUtl36xny/tN0arpvXVXJd07O1pZEOtjp09QJfslZ/rjTmZPVu642sPGKu9xjZktKWOmtE/7e98VB3mufLz46cn/z3DJSWaPb59xb7+qYlt1x2QqMN/uLrtbZozcmgf3XXmXEmJbb/X2AZ9cZ/s5f7FCdO1YkyDfnliZjvWHmv2S73lxpwQYLZxBnWrTraVgppspMVtq4hHv/TgKX20cnxjRkqrIT1qdMLcgZrQt5P2GdeYvM5nOw7PXJy6djvbhOafbu3Dc5cN0z7jGnXxCqOecXxfrvePnMMDe49LtDlLohGdG7L/GqZdkKtc2grnLE39jo1bmpL//s3Jwdu6balnvnnYBO0/sZcOy+E6D+n6A8ZqRENq8YHfGPXlAeq3MB69cGHy33a/8Nr9x+iwqX0z0jqHcWtr+8Xsyy0b1VNjjawYbeGMJpqLk+YN0r7jGz37XlGXsTezbpvjiDL3jpEVx22yZreaMn1+4WCtntFPe41t0C9PmJ7xGjdHGX0tv/66XzYi80+zLs1XnVaIiOHYNRT1Uv+//e1vWrlypVasWCFJ6t+/v37+85/riScSeZbj8bhuvPFGXXzxxVq5cqUk6ZZbblGPHj10xx136NBDD+2wsiP/MlMQOm4Q53mwJlvqoMUje2hxiJRA2V5/zrJh+tb96zMe92tUtKfTFgzRI+s/lCTXvMNuEaZM0wd2CZTL2/bQeQuzvygEt47IDo9B1RnGTVZz8+cS8jPxGZnfHZd0yJS+OmRK+MZ3/65VaYOp3zxsguvrVo7vpZXje+niO/4R+juyWTaqh+76Z2IWuVsjYnL/zjpocm99ae2LGc+ZvnxQ9oGvbMwbp1J6XdC7c2VeB56zMb/bOdPfaXjPWt20KlG2K7NMvnLyalCaDVhzt5g3W9uaxqUQNVK9YxVQWhQjo+zOc2lkY2obFppf4zyIXKryhrqKjOPXKxJD9og45mek/jJXtNodNOeEDuf11QxB77ci0kuQVR79u1Z57ltzVUw0Ip21ZKjr69wmar927YqM1x09a4Dr+3t1qgiUJqPYTR1Qr6kD6vXM6/fqvx/7L1A4aX5iQl732vKcJigMzDGdsNOgbtVZz+3yWFQ3GBOmvawwJp+VRCO63uWGy4iGWs9rxZHGxFYnvwhdQZ25eIhuvCcRvddZz/SsK3c9Zs1rgFv71/lIXUVMH29NDDR6TZ5ypsJpC7NMpdGI6yQHs57JdTBi/4m9tf/E9AFqK+3fmZ9r/nw7AueFy4frgZfel5Qe4cOy3OsMW8TKvAGUeF/i/84tnWs7MptsfZZhPWt006qJ+tMFf5LU9ghYXmk6cjWwW7Xvds6V2V+xVz2P69Mpa7vQK6rmsB41aSveg/z0ZaN6pA0WB2FPGikG+4xr1D7jGl2fS0sRV4Dw+bXlMX39UPc+TlhuxQsy+Srjc0Lcjo9ELF2z/9i0xz5yLPDKtsrXPL/M4/mgyb316CuJfrmzDsyHAT5tMC+dKkv1DZc+qXPcwNnm9+IXpcdv0ql5bbGjRmUbT4lGLF134NiMx93qysHdq9OirK+a1k+vfbBZ33/o1YzXrhjbkNYGkYLVQW7MiEyzB3fNOkEzaBsprM8bE78Gd69Ou7ZkY1lWcuKzyZyAlY+V720Vjye239cOGa/fPvt25vPGv82UoG79NikxWSIIy7J09X5j9Pvn/qtPtu0MXF67f9zsUQ87Hy308OLnPPpV2filYbEsSz/3uAk3a3DXZBqpy/bOftN1cv/6jLRS+eKMbNLWTX14kdyotywrb5OvpET0oPc+2R7otT08+qTOSXr5iDZmHoNdqst826Zhx7eDjP2aCz/85NI+GtazJnRbe0iPGs+2gD3WHFaJx0QnSbpwz3ATGPOZytcsitlmqCwt8dzWX3CZcJmtTGcuHprq9zt+v9mudktRbbez1r/3ia7607rW70t/TZD5FtkWKEnpC+xPXTBYX77r35Kk6QOz153ZJlXmQy673ozcb75/ZGOt/nn5Mo267K6sn9GW+3N7j2tMTmxDeAdP6aMZg7pozvX3S/Ifg8iWZSVst9WMSGcf3odO7atDp4b7HKeZg7tqpmOCUjRi6ftHTda0L93btg9XfiZgVZWV6Eaf603EZUwvbfG3Yz81BVjccvbS8IsWr1g5Wrc8+nrW15l1tPMQMo8p81qVrzrNbcyTAFifDUU9AWvmzJn63ve+p5deeklDhw7Vc889p4cfflg33HCDJOnVV1/VO++8o8WLFyffU1dXp2nTpunRRx/1nIC1fft2bd+eauxv2pRIV9XU1KSmpibX96BjNTU1JWuleEuzmpqa1Nycnmc23rxTTU2ZVVfu+zReFMdDS3P64EtbytQST13own7Ozp2pcri9t7ml2ff5sNpj22/dvjP5PTuM70vUBYkOfbwltc1iUcu1XNnK2rwzcwAt8R3tM8AYNwY187VdzYHnluadGZ8bkdTcnHm87XC8Lj/lST9Xrbx9bngtxm/euTNzu7SV/XnOz7X/NuvFlpYWY7v7n7+hxAtfN8abm1O/qQDHb04cvbTmnc2hyhP29V5amlP7defO1P6Om/slnrnNzGPjvU+2JR9vMa+lzc1qirdkDIDb112beR7vdKnfsv6GeBv3pXG9cZbNtLPN27w42gH5Yvb3vH5X3Kg3ctG0M/w1MqiWltzaMAXdh1bbP98yzje366kbs06Pt563phbHeWGe0zs99nHY3+H3+rR2T9z9PIy3pF6Tz+ulWdfF45m/dWdzZnt1xw6jvC7b049XuZuamtTkqB+bd+5UU1P+73w693c2H21pW5/X/AVBj9lcteW4NPsm8RBtlxaP17Y4jqd/v/NJ1rJGA9QRbsfkrqC52WgX7Ej1nYrRzubw7QHXerKN7QpnmynbZ5njAM1GPZlWt7TslNfHFOPx5Hf9MfvdbvW3za/tafbF7G1mRu0Ls02278isK+MubWyzfRL2O4Iyf7OzLioWzTley7ftSL2npXmnmtT2NJpt0dzs304y+0GlHuNDbWF2wwJ9duvx0OzRTm52jCe25FAftoeWYunzG8z2rF+f09biGKMu1m3t5DXGVChu9Whb5eNzdrqMX7anSB76lcXOMur3fPch2vRZaeNfbRkDCn5sO/e3efz51R3Nxhhg4rqbes4K8P1u559znL6leaeaWlz6rG0YC87nvm4JOAaZNh6SNoaYfp0321h+4xLx3Wx8cFdjtmf86sts+8g53h2mnxhmTCFXYfuLbq9tampSJFri+lyun51Nc7JO966HtjcVftyj2Wd/mseNs31snvtWAdopO5szP6eljePv6FhB911RT8C64IILtGnTJg0fPlzRaFTNzc26+uqrtWrVKknSO++8I0nq0SN9BVyPHj2Sz7m55pprdPnll2c8/pe//EWVle2fvxvBtLRmzPznP/+ptR++oJfetiSlBnrvvuuu1pnI6Yf12rVrQ35T4v0bN2zM4b1tM64+ouc2pE/Kuf++e5NlilnxNpVpZMzS44pqSG1L6M/Z3KRkOdze+8J7qf2RexkTn9+nqm2/M9vn22Lvv6i1rRGaEn2dxPOPP3if7AUnd7+V+l0D4u8my7WkV0R3vx3Rwsbs2/ITY9vZ/vbXe+WyqKUg3ng9IjvjbL6263/eT/2eB/76V3VpXYTbsyKqd7Za6rblVUV3SJai6lud+t6dxnYe3yX8cWia2CWiZz6MaETE3i+Jz13Za1u7n7u2xLhh63H02GP6cF0+PjXxeZ1KU+fFlp2px+c3pLbjJ1tTj/ds+p/Wrv1vxutz3Ta9q6J6a7OlXk1vae3aN3P6DD/D6yJ68ePEcfrQfXcnV5Z0i0X1ybZE57+j9qsk9WtJv+Y888zTanot23qF1HkS7PXeyqJRbW+2tOPN57X2/eclSdEtqe/4+ONNye0zMJ4oa//q1DHzrnFsPPPGR8nHtxnHxp13/tm17L+7/3F9uC5V9mffya2+r41FtanJ0ujOcd19992B3+f04bZU+e67/wH1zGi6JZ57+5+Pa+1LuXxD4v1bt27t0GMu37ZujcqeOuH8XVErqua4pU3/eVZr33o25+8w940k7dG7bfW86V//DXPcpcpQyPZE886dbf78x19JXaPvufde1QUIDrJ+U6oMd/75z8bkusRjzz3/D1W9+3zy9dubUvt+TpctyTJXlkS1ZWfQ+jW1TbuW+bfTmlqk0khUcSXaVG6BwrY3pz7zoYce0itVWb4+oH+8mzpOSo12nu399zPbRN71oJfWbRF3bofE49u3JdohTY7zwby25Ufis//zn1e0dm1mFF2v10u5nhetdeOWzbKPp388/qBeyvu8mzDl9O73xY3rXlXzJ4E/a8vmLWmvHdM5on9sjGhyzaa0x597y+u7U4+/+87/tHZtZgQVU7i6rXg0m21eo+9UTDqVRvXRDktlH/xba9f+O8A7vI69xOMvvPCC1n6Qe2ThrUZdk/kdmTbtSL3+3nvvVW3r9eHvRr/7nr/8xbHtC339y0WiTCM6tbieJ/ZjsY9Tv6vrlje0du3rGZ9hvt6N2Rf7+6MPaF1UWtTD0m9ei2pqt2BtErtNtPHlZ7T2jfTnPv00sy1V+lGq3OPq89fuMZljMcOj7xfRvpWS2/vvf1ckhzbkK0ab5q477yxIuvtgEmVY/5//aO3al9Mek1L7+2XjOP3k4w153xdNTd7tdZM97tJ182tau/Y1jSu39HdFHeeZ9Nx76X3Y+++7T538g0N0iPGVll5QVCM7FeYcykWTMXZV+eFLWpulY7lhe+r1kvTss89Kb+468Q3a0j8PY1qdpVc/jGpsm+vL/F7vOn2S+Myu5YUaj3Y3pVtET74f0djSD4rm2C+UfxvXy7/ef38e6qL8HAP//W+qf/j2W29prfPiH9CCbpZu3xzVpK7ex/aM7hE9+l5ESxua0vstRvvl+cce0L89+lfvGf2bu//yFxkB7dVrR2L79qr0PoY3bsi8xrz5aeozJenPf07vDw+ti+iljyMaEQt2jI6tj+j5DRFN6dqiJz+IqHee7/F86nKPxY35nTuMsYdX//MfrW16Ofmc2XZ88qH79Zxj2/eqjOrtLZYat7+Z87GBtjPHtHdu/dS1r9avOvuxtmVL6hyQpFdeeVVr1/4ny7cnPv+tN9909E/yz7xvJuVWt6Wu5+mfs7yPpbVvRtMea7vEd7z5j8e18UVp4wbve5A9W/ehXx2Vq4gVVUvc0kfrn1H6LavUNihTc/J7nW225x9/SK+0JvioaL3XMrAmf+V0fp8kDYu+t9tf93dnW7ZsCfS6op6Addttt+lnP/uZbr31Vo0aNUp///vfdeaZZ6qxsVGrV6/O+XMvvPBCrVmzJvn3pk2b1KdPHy1dulS1teFSBKB9NDU16QcvJsIvjhkzWsun9NGbD76qP76RajCtWL6nIhFLZzz6l7T3Ll++PNR32e/v0qVey5dPaWPJw1m6rEWvb9iqPb7xSOqxJUt00VOJEJsrJ/TW8uWjcv785ZIOfX+z+tRX5BTefc6CbaqIRV3z9G5/9r/62X9eSHxPyG1uW7SkWQ++/KEWj+iW13DCNvPYuOPk6RrVmH6+z5y/XXGlhyt96d710puvSJJO2G+hutUkntszHtf69zdrUNeqQHnW587fpiN+9KTe2LBVkrTPXrlto1w88Yd10ruJ1keu+8bJ3JaLFi5IptVZuKRZ727arn6t6VsWLtiiLlWlaSlbZs7frlc+2KxJfTu3KXXNoqUtenPDlmRamalzt+vl9z7VjBChwAvhrMcS22ba9OmaNqDt4e3tbT2yTxctXz45+fi46Z/qn//dpJXjGpLny7amZl3990RdeeRe89SvPjUzZfZ87/M3iEVLmvW/TdvUv0ue7pK7fP5Tb3ykod2rk+eZJP1uw7N65d/vS8rf8ZuL5ZL2/2Czln49UT9PmjRJi0f4p6d7Kv6i/u+xNwK/3s/cRTv10ZYm9e6cnsLquucSx0enujotXz49WdYDPtisxk4VKmu9K/fah5v1pb+nri3mtpw1f5tKSyLqXJma+WGe49MmjdfycakUKh8+9ob06osZn5PN/MU79e5HW7TuqYe1ZMkSxWK5HYvbm5p1xbOJ43zOnLka0iM9/dasBU3asqNZDXX+6Vm82L+9oqJCy5fPzekzitFXXnxIG7YnrkHO/TZn4U59sq2pzSnS3ty4RVc8+7Ak6TcnTdPoxtq8Xc/f/dvruuP1xA30bMedefwWot6wP780FtPy5cva9FkP3/FP6d3EBI1Fixape032kejHX92gb/7zKUnSihWp32eXa/bUidpjVGqByoVP3yu1rsr/0tF7JPfJ1156WK99mOg0htmmF68cp+Vjevq+fsa87YrH42lpk0zbd7bovCfukSTNmTNHw3u2LT2ubfPTb+kXr/xLknT8QZm/6f/970lp00ZJ2etBL/a2iEQiafvffrzSqDsWLtiq5pa4qsui6pIlHH5Y9vcNHDhQy5e5p2J1e72U23lhv7+mulq/P2OKdrbEAx2vYS3bI657X3xPi4Z3z9pOzNbv+9LfE88P7d8nax8q9fuqtHz57OTjdv9sYNfKtPrM67u/uf4RrX9/sySpb5/eWr7cP830O4+8pjtef8m1/MWsqalJW3berblz56mhc2Hahm01f/FOffDpDvU12sN+vM6RZFt85Cgtn557SqhPtu3UBU/eJ0k6eFKvrMfkB59u1yVPPyBJWrJkcTK91SdPvSX9J1HP7dU6BpLtN3Qku0wnLh2fvHbYj8WiVrKc//t4m771rwclSccfsCSt/3jDvx/W6xuCXa9mzt+RVj/tGY/r+Pc3a0DXqkB9zzkLd2rTtib1cmkTfXP9I3p36+a0cozZuEXfWZdo+/zklMVp5c6n6XO36INPd2hCn04F+fxc2fty0sQJ2nO0f9vAzVOvb9TX//mkJGmvFR13zNq/Y4BxTbUfqyqLavnypZKUSP/5r6clST27d9Py5ZPyWo7zn7pHao1m5XesO8ddlks67P3N6usY69v89NvSf/6Zet+iheqZJYVlR1gu6QiX8ne0CTO3aOOWJo3rXZf1tW9/tFWXP/NQ6r0TJmRtLxeDpqYm3X333W3qn4exZzyuz32wRf3qK9qU2mfuop36+r3rdeLcAVlTTgW1YvEW9agty0hxWEiLd7bo9Q1bNKS7f0rx3UGXVzfo2+sSfdjFi4P1e/0s2yOue9a9p0XDu7XpWHrgNy/oyfcTi1f798veZ/CyZzyu47K0N5a1xPXqB5s1qFtVxjjJDEf7xc3rG7bo6r8n2hx7LFumCsdKp5UfblZDbbnKPI7hn/3vSf3nk/S+8PNvfSz94/Hka5zXnsVLW/TWxq0a2C1Ye9/sO72+YYtveXLx8dam5H0y08lzB+g7D6ZSQjt/x7lPJK7pgwYP1vLFg9OemzF/h+LxuGtdUuixcATz8nufSn//mySpX0M3LV+eSpE6d9FOPfPGR5o5sD5rXXDtvx6UdmxL/j1w4AAt38M/7Z3dHuzbN/f6IYyzH8+tP+e8ntvlXjG6p5YvH6s943Gd9v5mVZZGVVteoprytl/znePvv3z3Kb28aYNn2ffJUkflymtM2+wbd6mr1vLlsyQl+p2XP5Pod952/FRN6Nsp7X1LFmxR1+pSVeWpX2d+3wNnz9G2ppbAdSqKk51VL5uinoB17rnn6oILLkimEhwzZoxef/11XXPNNVq9erV69kx0ZN599101NKRuDL777rsaP3685+eWlZWprCzzghqLxdqls4G2iZWUKBaLKRpNVdSWJZWVud8wyXWfRiJWux8PsZg0vDH92CwrM8pgtb1Mwxo75fzePl28v7ukJLU/ci1jLBbT8nG9cnpvWOP7ZU7S6dk5s9xRI2dBSawk7beN7BUgTEWrvl1jqiqLSUrc/G7PY8syOn6F+N6y0tLk58ZiMdVUpgb0BvfIHKhq6BxTQ+e2Dy7EYtKIXqnzJV+fmy8lJSV53d6W4/wf2auzRvbqnPaaZqWO15jj+/3O3yBisZiGVBZusDYWi2n+8MwBSnNQoqOv0UMbOiX/HWT/ptUfbTweOsdi6lztPTnGeXyYZZUSE0VM5mt7Zzk2yksdZbeM4yzEb6qLxVRZWqJ1aluby4qkrjfOelmSuubpOHFu011d1OdaUB+Lqb6mbZOvJClWkl5HleaxUx2J5HbcFXIf5qOtWGK0Z4PWE5Gof5ur1HFemFHWS0tTbRcj20uo35FRJ7joVe//fCSa+vJoNH/Xy2iWbWOmtQ1TD7qxLPfvMOuOAd0LX4dEIpHQ268t29uyLPXoVLjBopikFeN65/Zer98Voj53ntdu/TO/7zbbLWUl0azfG4m0vQ/VUWpiUkPnqqItd10sprqq3K5tbr8pl3PNVGakcwlSj5aUpNLRlBrtJsu4HnqNgUjFdzxFopnnQ4mxTUtKUqkgEu3E1HCleYMx2+/q0Snz+REh+u1+bSK3fonZ9qkoK1WsQDfuB3av08Dc13IUnLPvGVTUSJFSDMes23leYbSrzPKWuBzTbRW0beYcd5Gk4S5jfVHHjchYSfGOe7uVv6MNchnP8lJSkp6KJBqgDVBM2vOeyPDG4HWyl86xmL64ckweSpMyuGfw/Z0vsZg0slcRhqUrgPLS1PFVmofjLSZpr/G59RlM5oSNaBvr9WztjZjPa9zaL05lRtkSY2Hpt3aH9Ozk+/6Iy5iQObZgPp76WxpWEfwYNftOQ3q2/Vx3Km12f7yzY/KU1360XMZwevps+0KPhSMY8zh1tr86x2JaNDJYn885NdKygvfv2toXDCoWtdSUCDed0/c5r+dmvzPMvcwgnOPvZrvTrezZ6qhcBRnTNsfvSmOpimRgj9qMsua7PWD2c2sqy9WvKv91I9pX4HqjwOVoky1btqTdbJESDaGW1tVAAwYMUM+ePXXvvfcmn9+0aZMef/xxzZgxo13LisKzxyHsC6W5UMC8sdSjNj8dFyvjktwxosYPLcQq83zpVLnrDCyEYU6gKG3jSrzmlpbsLyqA7jWF7Sh0XJqA4lZVmt85zg112TsTZr1YWoy5YHLQEi/OsP015eH2b9jXh9WnPktHow3XtBJHW8ycwNARzIlE5SWFW526u61wixQgsqRTmVHvtMPXdbgBXdt+jKx/75Pkv0sCXlCzXV9qHSvZvMppR00Iq1OAKFHZmD/VuXK3Leoq/MvWq3P+0s0P6uY+6bt/1/ZNad/eNXKxXpf9hClyvzbW/Q3GqsuSaPZzup7Bt11GfRsjbJjX4SDXZLPvaR5LLT7tsEGtK2mLsX9W47KC2Lw+mX2X6C7UiPistX281OYYZTleZNcUt/IMMK7rlUabxS1KWlsNzEPb0uRsF8XbvdXw2eEcfymyQxvocObkn7ZkQ8i32556K/nv3z7jnzq8o5n95lzG+Nzek8++eHvwakM7xy29dPBwJnJkjv326pT7fS5nXz/c4dA+9VY+xhlNn+X+SRBBx2HbwjzOdqV+LtquqCNg7b333rr66qvVt29fjRo1Ss8++6xuuOEGHXPMMZISq8/OPPNMXXXVVRoyZIgGDBigSy65RI2Njdp33307tvDIO7uishtaXpXVlStH64T/e7qdSlUYR83op1seTeQUjkYsff+oyfrT8//VKQsGZ3lnx5k/tLtWTeurUY3tv2IoqMOn9dWtj7+hv12wMPB7qo1JE2294bizg1r5x88ZqFc/2KxlowoT/rwQ6SJ3ZZfsNVJvb9yq0b3yk9L2/x07Tb986k19YfmIrK8tK4nq3GXDtHVHc6AJW7uCYuscX7lylNa/92no9JL5SEfp5ufHT9fPHn9dl+3tHwa5LadpzHEDubmDR5Mty9L5ewzXx1ub1DfHCSR+fn3SDP3kb6/p4hUj8/7ZHaodquruteX6/MLBKiuJqKyAk+OCOnJ6v4J87m9PmakfPPyqLtxzeJs/66nXNyb/HTRF3djedTp6Vv+MtFpXrhyll9/7VNMHptc3Nx8xSdfd9aJOmjso7fHrDxyrq/60TkfP7J/1O68/cKzO+/XzOnxa37zUZ5Zl6cI9h2vD5h15HWBaMrKHDpvaR+M9UjRdutdIxeNxHT4t9zRif/z8bH3ngf/ovGXpoepvP3mGfvTIa7p4RfbrdT4V283rYhTkhvNtJ87QLY++pkv3Clb3f2H5cH1p7YsZj5++cLAefCmROjnIjYCV4xv1+KsfatqAjk2hDW/XHTBGT7y6UXu0sS9ltsWCTMCqq4zpjEVDFLGstIm1fn3KH66eoi//5d86ed4gz9e0t2v2H6N/vP2x5g3tlnzsD6fN1s0P/kfnL0tdR7tWl+n0hYMVi0Z2qZuBdtunPBYtirZPe7ty39F66Z1PNHNQbnVYsV3BzEvqb06ZqR8+/GpaP3x8n04a2LVKr3ywWecs9U9Zk4vvHjlJ19+Vv3N46cgeaX+3x4KMz6ruNYm64Jv3rZdUfMc20NHSJ6J3YEF8bG3yCK9UJOy2UkmObSW3rsnwnvkZu24vXsdObDdZhAx3/btWaURDrdb9b5PWtKH99dWDx2nVDx7Xqx8kUoqHG0ppnyv7d4+crK/c9W+dPL94+nNBFds9wq7VZfrg0+0Zj5uLCiPtcEEyF1BFAyzSw+6jqCdgffOb39Qll1yiU045Re+9954aGxt14okn6tJLL02+5rzzztPmzZt1wgkn6KOPPtLs2bN15513qryc0JC7G7tetOtxc7WEmaO5a56iRHXk9cK8ERWxLC0Z2UNLHAMnxSYSsXT1fvkN/5xvX9pvjL4Usoz5vKnVUVFjKkqj+toh4wv2+cXace4ox84ekNfPmz2kq2YP6Rr49acW8UTNXBRbpI0jZ/TP6X2F6oTMGNRFMwLc8GhLh8L53o6OgCWpoB3Ryf3rNbl/YSbMdaT2uuFydgFuRuVq1uDCTGiY0Lezbjq8c/YXBpBLFWdZluukS6/6qW+XSt10+MSMxxvqKlwfd3Pw5D46eHKfUOXM5sQCTBCIRixds/9Yz+e71ZTpWwF/s5fRvepct9ukfvWa1K/96472rpI7/gqQgwCFnjqgXlNDTC70WnRiRoFxTmB2UxKN6PoDxwX+XrS/Q6b01SFTcp+0aTMvw0EDK5+1ZGjGY37nfP+uVYHr9fZy2NS+Oszx2Jje7vVoW26otAevplQxtX3aW6Emu3cU8/Sa2LezJjrae5Zl6b5z5hfs+/t1ye85HIlYOmHuQH3vwVckEQWh0M5eOiw1AavIxjGAjmYOK7XHDe/dVVvaSl5Rs24+YqJO+n/P5Py57clrXCvGMbXb+/MZc9r8GY2dKnT/OfPV/4I/SSrOyKADulbpplXF1Z/bVY1qrNUDrYvjTOa9pvaISGU2CYmA9dlS1BOwampqdOONN+rGG2/0fI1lWbriiit0xRVXtF/B0CGSKQhbKykzDL85gLk79HHNm9vFFJYXbVMMkxYKgWMUKH75PEv9Ut+geH0Wq+rdoU0IZNPux/kueF4Vosheg//m4yVtTF+O3Yt506st5y3tMOxOiq2tVmyLf/IhbPQ9ACiEsKmYkX9em313uPTR70Iuwh37u2a91Z6lLrYt5NWuNx9uj+uRWQ4uf58tXJmwy7DrKfsGolfDfXC36jZ9jx0toSNX8t334nvJf38Wb5gWk3wOwNkRW/Ya25C3zywGxRZeFLuXXXkQfJ/xjZKkgd3ym789F23pUIx2RPlYMioRkbFbniJOon0cP2egJGnxiOKOqOll/rDukqQ6I7qMF/twn9A3P1GqCun6A7yjNQF+BrZGzN1rXLB25XGtETpPXZBb5LHlYxLp106YOzCn9xdCtrKMakyk1DhwUu+8f7fXAgTzcVZi71pqywu7PtE8HO41+vthdXQq6M8yuy1V7NHJdyXDetZ0dBHS7I6n1/4TUtdAM50pCsOOfrk7RlQG2qJP50rFopY6VcZUTrq4DnFE670uZ9Tfif0S4ya7wvB+qWOiVUUsqq7VpWmpkA9y6fv1qa+QJO05um0pxQF4WzUtETU6TGTxQjrC4/6+eT+jtB2uRz1qU9nanHUYdm9FHQELMKUiYKX/X0q/sVxXGdOjFy7Uveve00GTww+2//hzU/Xmxi0a1MaJXG3x8dam5L+Z3LL7OHxqX00bUK/+XTp+MkZbHTd7gH7w8KuSmCS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"text/plain": [
""
]
@@ -1331,7 +1334,7 @@
"outputs": [
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
""
]
@@ -1393,14 +1396,6 @@
"plt.show()"
]
},
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "b07180c3-d739-44a9-a8fd-88f9756c6f2e",
- "metadata": {},
- "outputs": [],
- "source": []
- },
{
"cell_type": "code",
"execution_count": 18,
@@ -1443,10 +1438,10 @@
"metadata": {},
"outputs": [],
"source": [
- "os.makedirs(EXPERIMENT_BASE_DIR, exist_ok=True)\n",
- "folder_name = experiment_name.replace(\" \", \"_\").replace(\"(\", \"\").replace(\")\", \"\").replace(\".\", \"_\")\n",
- "folder_path = os.path.join(EXPERIMENT_BASE_DIR, folder_name)\n",
- "os.makedirs(folder_path, exist_ok=True)\n"
+ "# os.makedirs(EXPERIMENT_BASE_DIR, exist_ok=True)\n",
+ "# folder_name = experiment_name.replace(\" \", \"_\").replace(\"(\", \"\").replace(\")\", \"\").replace(\".\", \"_\")\n",
+ "# folder_path = os.path.join(EXPERIMENT_BASE_DIR, folder_name)\n",
+ "# os.makedirs(folder_path, exist_ok=True)\n"
]
},
{
@@ -1454,25 +1449,12 @@
"execution_count": 21,
"id": "db83cad4-7cc6-4702-ae3a-d1af30a561d2",
"metadata": {},
- "outputs": [
- {
- "ename": "Error",
- "evalue": "Destination path './experiments/No_Refresh_1_0s_ttl/hit_age.csv' already exists",
- "output_type": "error",
- "traceback": [
- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[0;31mError\u001b[0m Traceback (most recent call last)",
- "Cell \u001b[0;32mIn[21], line 4\u001b[0m\n\u001b[1;32m 1\u001b[0m file_names \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39mlistdir(TEMP_BASE_DIR)\n\u001b[1;32m 3\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m file_name \u001b[38;5;129;01min\u001b[39;00m file_names:\n\u001b[0;32m----> 4\u001b[0m \u001b[43mshutil\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmove\u001b[49m\u001b[43m(\u001b[49m\u001b[43mos\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpath\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mjoin\u001b[49m\u001b[43m(\u001b[49m\u001b[43mTEMP_BASE_DIR\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfile_name\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfolder_path\u001b[49m\u001b[43m)\u001b[49m\n",
- "File \u001b[0;32m/usr/lib/python3.12/shutil.py:845\u001b[0m, in \u001b[0;36mmove\u001b[0;34m(src, dst, copy_function)\u001b[0m\n\u001b[1;32m 842\u001b[0m real_dst \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mjoin(dst, _basename(src))\n\u001b[1;32m 844\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mexists(real_dst):\n\u001b[0;32m--> 845\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m Error(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mDestination path \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m already exists\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m real_dst)\n\u001b[1;32m 846\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 847\u001b[0m os\u001b[38;5;241m.\u001b[39mrename(src, real_dst)\n",
- "\u001b[0;31mError\u001b[0m: Destination path './experiments/No_Refresh_1_0s_ttl/hit_age.csv' already exists"
- ]
- }
- ],
+ "outputs": [],
"source": [
- "file_names = os.listdir(TEMP_BASE_DIR)\n",
+ "# file_names = os.listdir(TEMP_BASE_DIR)\n",
" \n",
- "for file_name in file_names:\n",
- " shutil.move(os.path.join(TEMP_BASE_DIR, file_name), folder_path)"
+ "# for file_name in file_names:\n",
+ "# shutil.move(os.path.join(TEMP_BASE_DIR, file_name), folder_path)"
]
}
],