diff --git a/facility_location/__pycache__/__init__.cpython-310.pyc b/facility_location/__pycache__/__init__.cpython-310.pyc deleted file mode 100644 index 2c225dffd97310647e2f6b555f3903e8a06f3fd4..0000000000000000000000000000000000000000 Binary files a/facility_location/__pycache__/__init__.cpython-310.pyc and /dev/null differ diff --git a/facility_location/__pycache__/__init__.cpython-37.pyc b/facility_location/__pycache__/__init__.cpython-37.pyc deleted file mode 100644 index dc6a42db4cf6787d2d3399efab0b47d5b3d9a523..0000000000000000000000000000000000000000 Binary files a/facility_location/__pycache__/__init__.cpython-37.pyc and /dev/null differ diff --git a/facility_location/__pycache__/__init__.cpython-39.pyc b/facility_location/__pycache__/__init__.cpython-39.pyc index 57a87dd33007649f9f0f2b86c168ddbc29dc2433..17faab9c8acaf4a1fb983e92ad21c238aea52ee5 100644 Binary files a/facility_location/__pycache__/__init__.cpython-39.pyc and b/facility_location/__pycache__/__init__.cpython-39.pyc differ diff --git a/facility_location/__pycache__/eval.cpython-310.pyc b/facility_location/__pycache__/eval.cpython-310.pyc deleted file mode 100644 index eece06e39d62f5bfc0a7f3308652597088765206..0000000000000000000000000000000000000000 Binary files a/facility_location/__pycache__/eval.cpython-310.pyc and /dev/null differ diff --git a/facility_location/__pycache__/eval.cpython-39.pyc b/facility_location/__pycache__/eval.cpython-39.pyc deleted file mode 100644 index 43f8353812e5efc68d4d536657baf79262c483ba..0000000000000000000000000000000000000000 Binary files a/facility_location/__pycache__/eval.cpython-39.pyc and /dev/null differ diff --git a/facility_location/__pycache__/multi_eval.cpython-310.pyc b/facility_location/__pycache__/multi_eval.cpython-310.pyc deleted file mode 100644 index 29772ba3345ca2fa878038a9d197cda77e442ed7..0000000000000000000000000000000000000000 Binary files a/facility_location/__pycache__/multi_eval.cpython-310.pyc and /dev/null differ diff --git a/facility_location/__pycache__/multi_eval.cpython-39.pyc b/facility_location/__pycache__/multi_eval.cpython-39.pyc new file mode 100644 index 0000000000000000000000000000000000000000..f50f7bf88ce6f403575bd6872945ecfbc1aa8288 Binary files /dev/null and b/facility_location/__pycache__/multi_eval.cpython-39.pyc differ diff --git a/facility_location/__pycache__/train.cpython-310.pyc b/facility_location/__pycache__/train.cpython-310.pyc deleted file mode 100644 index 1d7a5f37d37475a680912adf22609c004545f18e..0000000000000000000000000000000000000000 Binary files a/facility_location/__pycache__/train.cpython-310.pyc and /dev/null differ diff --git a/facility_location/__pycache__/train.cpython-37.pyc b/facility_location/__pycache__/train.cpython-37.pyc deleted file mode 100644 index 0fc20cc68d14413688a7321a013a10805819b46e..0000000000000000000000000000000000000000 Binary files a/facility_location/__pycache__/train.cpython-37.pyc and /dev/null differ diff --git a/facility_location/__pycache__/train.cpython-39.pyc b/facility_location/__pycache__/train.cpython-39.pyc deleted file mode 100644 index 5e1ef5a4901494c3c112b991edf93db104383a52..0000000000000000000000000000000000000000 Binary files a/facility_location/__pycache__/train.cpython-39.pyc and /dev/null differ diff --git a/facility_location/agent/__pycache__/__init__.cpython-39.pyc b/facility_location/agent/__pycache__/__init__.cpython-39.pyc index 8778a59d07a5c4dcf8d70f9fafb1737aa357f38f..9580f6f26296b93f043381bab5aed0bb4f3817ba 100644 Binary files a/facility_location/agent/__pycache__/__init__.cpython-39.pyc and b/facility_location/agent/__pycache__/__init__.cpython-39.pyc differ diff --git a/facility_location/agent/__pycache__/features_extractor.cpython-39.pyc b/facility_location/agent/__pycache__/features_extractor.cpython-39.pyc index 858e00dacf453c1f9dcbee91985631c031c05c80..2e4f1ed1c4b94332931b24c42554308b8024e050 100644 Binary files a/facility_location/agent/__pycache__/features_extractor.cpython-39.pyc and b/facility_location/agent/__pycache__/features_extractor.cpython-39.pyc differ diff --git a/facility_location/agent/__pycache__/policy.cpython-39.pyc b/facility_location/agent/__pycache__/policy.cpython-39.pyc index a9fcd01283476946ea3ba322436ab221b1215766..f68a11ebcec8f4e65c26b2de96d81bc1d13afd3e 100644 Binary files a/facility_location/agent/__pycache__/policy.cpython-39.pyc and b/facility_location/agent/__pycache__/policy.cpython-39.pyc differ diff --git a/facility_location/agent/__pycache__/solver.cpython-39.pyc b/facility_location/agent/__pycache__/solver.cpython-39.pyc index 10aa7246f31afd695448128af2a55f5b070a1c33..30f1b18539132a1f9a5d0d14edc21a2469bea7a8 100644 Binary files a/facility_location/agent/__pycache__/solver.cpython-39.pyc and b/facility_location/agent/__pycache__/solver.cpython-39.pyc differ diff --git a/facility_location/agent/ga.py b/facility_location/agent/ga.py deleted file mode 100644 index de681cc2ece67463b07db47093c81f5b4ddd6182..0000000000000000000000000000000000000000 --- a/facility_location/agent/ga.py +++ /dev/null @@ -1,86 +0,0 @@ -import numpy as np -import pygad - -from facility_location.env import EvalPMPEnv -from facility_location.utils import Config - - -class PMPGA: - def __init__(self, cfg: Config, env: EvalPMPEnv): - ga_specs = cfg.ga_specs - self._num_generations = ga_specs['num_generations'] - self._num_parents_mating = ga_specs['num_parents_mating'] - self._sol_per_pop = ga_specs['sol_per_pop'] - self._parent_selection_type = ga_specs['parent_selection_type'] - self._crossover_probability = ga_specs['crossover_probability'] - self._mutation_probability = ga_specs['mutation_probability'] - - self.env = env - self.seed = cfg.seed - self._np_random = np.random.default_rng(cfg.seed) - - def solve(self) -> np.ndarray: - _, _, n, p = self.env.get_instance() - - def fitness_func(solution: np.ndarray, solution_idx: int) -> float: - solution = solution.astype(bool) - reward = self.env.evaluate(solution) - fitness = -reward - return fitness - - def crossover_func(parents, offspring_size, ga_instance): - offsprings = [] - idx = 0 - while len(offsprings) != offspring_size[0]: - offspring = np.zeros(n, dtype=np.int32) - - parent1 = parents[idx % parents.shape[0], :].copy() - parent2 = parents[(idx + 1) % parents.shape[0], :].copy() - facility_locations = np.arange(n)[(parent1 + parent2) > 0] - random_indices = self._np_random.choice(facility_locations, p, replace=False) - offspring[random_indices] = 1 - offsprings.append(offspring) - - idx += 1 - - return np.array(offsprings) - - def mutation_func(offsprings, ga_instance): - - for offspring_idx in range(offsprings.shape[0]): - offspring = offsprings[offspring_idx] - facility_locations = np.arange(n)[offspring == 1] - vacant_locations = np.arange(n)[offspring == 0] - old_facility_location = self._np_random.choice(facility_locations) - new_facility_location = self._np_random.choice(vacant_locations) - - offsprings[offspring_idx, old_facility_location] = 0 - offsprings[offspring_idx, new_facility_location] = 1 - - return offsprings - - initial_population = self._generate_initial_population(n, p) - ga_instance = pygad.GA(num_generations=self._num_generations, - num_parents_mating=self._num_parents_mating, - fitness_func=fitness_func, - initial_population=initial_population, - sol_per_pop=self._sol_per_pop, - gene_type=np.int32, - parent_selection_type=self._parent_selection_type, - crossover_type=crossover_func, - crossover_probability=self._crossover_probability, - mutation_type=mutation_func, - mutation_probability=self._mutation_probability, - stop_criteria="saturate_20", - random_seed=self.seed) - ga_instance.run() - best_solution, _, _ = ga_instance.best_solution() - best_solution = best_solution.astype(bool) - return best_solution - - def _generate_initial_population(self, n: int, p: int) -> np.ndarray: - initial_population = np.zeros((self._sol_per_pop, n), dtype=np.int32) - for i in range(self._sol_per_pop): - random_indices = self._np_random.choice(n, p, replace=False) - initial_population[i, random_indices] = 1 - return initial_population diff --git a/facility_location/agent/heuristic.py b/facility_location/agent/heuristic.py deleted file mode 100644 index a53fdf53efcae5803d6064ea21b51a3eba072ee3..0000000000000000000000000000000000000000 --- a/facility_location/agent/heuristic.py +++ /dev/null @@ -1,72 +0,0 @@ -import subprocess -import tempfile - -import numpy as np - -from facility_location.env import EvalPMPEnv - - -class HeuristicRandom: - def __init__(self, seed: int, env: EvalPMPEnv): - self._np_random = np.random.default_rng(seed) - - self.env = env - - def solve(self): - _, _, n, p = self.env.get_instance() - solution = np.zeros(n, dtype=bool) - solution[self._np_random.choice(n, p, replace=False)] = True - return solution - - -class HeuristicGreedy: - def __init__(self, env: EvalPMPEnv): - self.env = env - - def solve(self): - solution = self.env.get_initial_solution() - return solution - - -class HeuristicFastInterchange: - def __init__(self, env: EvalPMPEnv): - self.env = env - - def solve(self): - temp_input_file = tempfile.NamedTemporaryFile(mode='w', suffix='.pmm') - temp_initsol_file = tempfile.NamedTemporaryFile(mode='w') - temp_output_file = tempfile.NamedTemporaryFile(mode='r') - _, _, n, p = self.env.get_instance() - _, cost_matrix = self.env.get_distance_and_cost() - initial_solution = self.env.get_initial_solution() - initial_solution = np.where(initial_solution)[0] + 1 - label_initial_solution = np.column_stack([np.zeros(len(initial_solution)), initial_solution]) - i, j = np.indices(cost_matrix.shape) - triplets = np.column_stack([ar.ravel() for ar in (i+1, j+1, cost_matrix)]) - label_triplets = np.column_stack([np.zeros(len(triplets)), triplets]) - try: - np.savetxt(temp_input_file.name, label_triplets, fmt='%d %d %d %.8f', - delimiter=' ', - header=f'p {n} {n}', - comments='') - np.savetxt(temp_initsol_file.name, label_initial_solution, fmt='%d %d', delimiter=' ') - subprocess.run(["thirdparty/popstar/popstar", temp_input_file.name, - "-p", f"{p}", - "-output", temp_output_file.name, - "-nograsp", - "-run_ls", - "-inputsol", temp_initsol_file.name, - "-ch", "rgreedy:1", - "-elite", "0"], - stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT) - fi_solution = np.loadtxt(temp_output_file.name, skiprows=4, max_rows=p, - dtype={'names': ('facility', 'index'), - 'formats': ('S1', 'i4')}) - solution = np.full(n, False) - solution[fi_solution['index'] - 1] = True - finally: - temp_input_file.close() - temp_initsol_file.close() - temp_output_file.close() - - return solution diff --git a/facility_location/agent/metaheuristic.py b/facility_location/agent/metaheuristic.py deleted file mode 100644 index 0a1aca2656ab5b3e9c2a3f03457a13435937cf79..0000000000000000000000000000000000000000 --- a/facility_location/agent/metaheuristic.py +++ /dev/null @@ -1,218 +0,0 @@ -import random -import subprocess -import tempfile - -import numpy as np - -from facility_location.env import EvalPMPEnv -from facility_location.utils import Config - - -class TabuSearch: - def __init__(self, cfg: Config, env: EvalPMPEnv): - ts_specs = cfg.ts_specs - self.max_steps_scale = ts_specs['max_steps_scale'] - self.stable_iterations_scale = ts_specs['stable_iterations_scale'] - - self.env = env - - def init_variables(self, n: int, p: int): - self.max_iterations = max(self.max_steps_scale * n, 100) - self.stable_iterations = round(self.stable_iterations_scale * self.max_iterations) - self.iteration = 0 - self.best_value = np.inf - self.slack = 0 - self.add_time = np.full(n, -np.inf) - self.freq = np.zeros(n) - self.S = np.full(n, False) - self.NS = np.full(n, True) - self.k = self.distances.max() - self.last_improvement = self.iteration - self.tabu_time = random.randint(1, p + 1) - - def solve(self): - _, self.demands, self.n, self.p = self.env.get_instance() - self.distances, self.cost_matrix = self.env.get_distance_and_cost() - self.init_variables(self.n, self.p) - _, solution = self.run() - return solution - - def run(self): - while np.count_nonzero(self.S) < self.p: - new_value = self.add() - self.best_value = new_value - - while self.iteration < self.max_iterations: - new_value = self.choose_move() - self.iteration += 1 - - if np.count_nonzero(self.S) == self.p and new_value < self.best_value: - self.best_value = new_value - self.slack = 0 - self.last_improvement = self.iteration - else: - iteration_since_last_improvement = self.iteration - self.last_improvement - if iteration_since_last_improvement % (self.stable_iterations * 2) == 0: - self.slack += 1 - if iteration_since_last_improvement % round(self.stable_iterations / 2) == 0: - self.tabu_time = random.randint(1, self.p + 1) - if np.count_nonzero(self.S) == self.p and iteration_since_last_improvement >= self.stable_iterations: - self.iteration = self.max_iterations - - return self.best_value, self.S - - def evaluate(self, v_candidate, m_type): - if m_type == 'ADD': - self.S[v_candidate] = True - self.NS[v_candidate] = False - else: - self.S[v_candidate] = False - self.NS[v_candidate] = True - - cost = self.env.evaluate(self.S) - if m_type == 'ADD': - v_candidate_index_in_S = np.where(np.arange(self.n)[self.S] == v_candidate)[0][0] - assigned_customers = self.cost_matrix[:, self.S].argmin(axis=-1) == v_candidate_index_in_S - penalty = self.k * self.freq[v_candidate] * self.demands[assigned_customers].sum() - cost += penalty - - if m_type == 'ADD': - self.S[v_candidate] = False - self.NS[v_candidate] = True - else: - self.S[v_candidate] = True - self.NS[v_candidate] = False - - return cost - - def is_tabu(self, v): - return self.add_time[v] >= self.iteration - self.tabu_time - - def flip_coin(self): - return random.random() < 0.5 - - def add(self): - new_value = np.inf - best_candidate = -1 - candidates = np.where(self.NS)[0] - for v in candidates: - if self.is_tabu(v): - continue - value = self.evaluate(v, 'ADD') - if value < new_value: - new_value = value - best_candidate = v - - if best_candidate >= 0: - self.add_time[best_candidate] = self.iteration - self.S[best_candidate] = True - self.NS[best_candidate] = False - self.freq[best_candidate] += 1 - - return new_value - - def aspiration_criteria(self, value): - return value < self.best_value - - def drop(self): - new_value = np.inf - best_candidate = -1 - candidates = np.where(self.S)[0] - for v in candidates: - value = self.evaluate(v, 'DROP') - if (not self.is_tabu(v) or self.aspiration_criteria(value)) and value < new_value: - new_value = value - best_candidate = v - - if best_candidate >= 0: - self.NS[best_candidate] = True - self.S[best_candidate] = False - - return new_value - - def choose_move(self): - if np.count_nonzero(self.S) < self.p - self.slack: - return self.add() - elif np.count_nonzero(self.S) > self.p + self.slack: - return self.drop() - elif self.flip_coin() and np.count_nonzero(self.S) > 0: - return self.drop() - else: - return self.add() - - -class VNS: - def __init__(self, env: EvalPMPEnv): - self.env = env - - def solve(self): - temp_input_file = tempfile.NamedTemporaryFile(mode='w', suffix='.pmm') - temp_output_file = tempfile.NamedTemporaryFile(mode='r') - _, _, n, p = self.env.get_instance() - _, cost_matrix = self.env.get_distance_and_cost() - i, j = np.indices(cost_matrix.shape) - triplets = np.column_stack([ar.ravel() for ar in (i+1, j+1, cost_matrix)]) - label_triplets = np.column_stack([np.zeros(len(triplets)), triplets]) - try: - np.savetxt(temp_input_file.name, label_triplets, fmt='%d %d %d %.8f', - delimiter=' ', - header=f'p {n} {n}', - comments='') - subprocess.run(["thirdparty/popstar/popstar", temp_input_file.name, - "-p", f"{p}", - "-output", temp_output_file.name, - "-nograsp", - "-run_vns", - "-ch", "rgreedy:1", - "-elite", "0"], - stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT) - vns_solution = np.loadtxt(temp_output_file.name, skiprows=4, max_rows=p, - dtype={'names': ('facility', 'index'), - 'formats': ('S1', 'i4')}) - solution = np.full(n, False) - solution[vns_solution['index'] - 1] = True - finally: - temp_input_file.close() - temp_output_file.close() - - return solution - - -class POPSTAR: - def __init__(self, cfg: Config, env: EvalPMPEnv): - popstar_specs = cfg.popstar_specs - self.graspit = popstar_specs['graspit'] - self.elite = popstar_specs['elite'] - - self.env = env - - def solve(self): - temp_input_file = tempfile.NamedTemporaryFile(mode='w', suffix='.pmm') - temp_output_file = tempfile.NamedTemporaryFile(mode='r') - _, _, n, p = self.env.get_instance() - _, cost_matrix = self.env.get_distance_and_cost() - i, j = np.indices(cost_matrix.shape) - triplets = np.column_stack([ar.ravel() for ar in (i+1, j+1, cost_matrix)]) - label_triplets = np.column_stack([np.zeros(len(triplets)), triplets]) - try: - np.savetxt(temp_input_file.name, label_triplets, fmt='%d %d %d %.8f', - delimiter=' ', - header=f'p {n} {n}', - comments='') - subprocess.run(["thirdparty/popstar/popstar", temp_input_file.name, - "-p", f"{p}", - "-output", temp_output_file.name, - "-graspit", f"{self.graspit}", - "-elite", f"{self.elite}"], - stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT) - popstar_solution = np.loadtxt(temp_output_file.name, skiprows=4, max_rows=p, - dtype={'names': ('facility', 'index'), - 'formats': ('S1', 'i4')}) - solution = np.full(n, False) - solution[popstar_solution['index'] - 1] = True - finally: - temp_input_file.close() - temp_output_file.close() - - return solution - diff --git a/facility_location/agent/tests/ga.ipynb b/facility_location/agent/tests/ga.ipynb deleted file mode 100644 index 12cda4391e062b839701d74ec835cf69e0bf2a82..0000000000000000000000000000000000000000 --- a/facility_location/agent/tests/ga.ipynb +++ /dev/null @@ -1,2315 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 4, - "id": "cab11d08", - "metadata": {}, - "outputs": [], - "source": [ - "import pygad\n", - "import numpy as np\n", - "from sklearn.metrics import pairwise_distances" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "9a5be64c", - "metadata": {}, - "outputs": [], - "source": [ - "rng = np.random.default_rng(111)" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "id": "dd8e4cd4", - "metadata": {}, - "outputs": [], - "source": [ - "n = 50\n", - "p = 5\n", - "points = rng.uniform(size=(n, 2))\n", - "demands = rng.random(size=(n,))" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "id": "0f5e1b5e", - "metadata": {}, - "outputs": [], - "source": [ - "distance_matrix = pairwise_distances(points)\n", - "cost_matrix = distance_matrix * demands[:, None]" - ] - }, - { - "cell_type": "code", - "execution_count": 75, - "id": "1eefb1ab", - "metadata": {}, - "outputs": [], - "source": [ - "def fitness_func(solution: np.ndarray, solution_idx: int) -> float:\n", - " solution = solution.astype(bool)\n", - " reward = cost_matrix[:, solution].min(axis=-1).sum()\n", - " fitness = -reward\n", - " return fitness" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "id": "a9ebcde0", - "metadata": {}, - "outputs": [], - "source": [ - "def crossover_func(parents, offspring_size, ga_instance):\n", - " offsprings = []\n", - " idx = 0\n", - " while len(offsprings) != offspring_size[0]:\n", - " offspring = np.zeros(n, dtype=np.int32)\n", - "\n", - " parent1 = parents[idx % parents.shape[0], :].copy()\n", - " parent2 = parents[(idx + 1) % parents.shape[0], :].copy()\n", - " facility_locations = np.arange(n)[(parent1 + parent2) > 0]\n", - " random_indices = rng.choice(facility_locations, p, replace=False)\n", - " offspring[random_indices] = 1\n", - " offsprings.append(offspring)\n", - "\n", - " idx += 1\n", - "\n", - " return np.array(offsprings)" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "id": "79f7c29f", - "metadata": {}, - "outputs": [], - "source": [ - "def mutation_func(offsprings, ga_instance):\n", - "\n", - " for offspring_idx in range(offsprings.shape[0]):\n", - " offspring = offsprings[offspring_idx]\n", - " facility_locations = np.arange(n)[offspring == 1]\n", - " vacant_locations = np.arange(n)[offspring == 0]\n", - " old_facility_location = rng.choice(facility_locations)\n", - " new_facility_location = rng.choice(vacant_locations)\n", - "\n", - " offsprings[offspring_idx, old_facility_location] = 0\n", - " offsprings[offspring_idx, new_facility_location] = 1\n", - "\n", - " return offsprings" - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "id": "c9b51521", - "metadata": {}, - "outputs": [], - "source": [ - "def report_func(instance):\n", - " print(f'Last Generation Fitness: '\n", - " f'{instance.last_generation_fitness}')\n", - " print('******')" - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "id": "308bbd87", - "metadata": {}, - "outputs": [], - "source": [ - "sol_per_pop = 100\n", - "initial_population = np.zeros((sol_per_pop, n), dtype=np.int32)\n", - "for i in range(sol_per_pop):\n", - " random_indices = rng.choice(n, p, replace=False)\n", - " initial_population[i, random_indices] = 1" - ] - }, - { - "cell_type": "code", - "execution_count": 80, - "id": "4fd26579", - "metadata": {}, - "outputs": [], - "source": [ - "ga_instance = pygad.GA(num_generations=100,\n", - " num_parents_mating=50,\n", - " fitness_func=fitness_func,\n", - " initial_population=initial_population,\n", - " sol_per_pop=sol_per_pop,\n", - " gene_type=np.int32,\n", - " parent_selection_type='sss',\n", - " crossover_type=crossover_func,\n", - " crossover_probability=0.8,\n", - " mutation_type=mutation_func,\n", - " mutation_probability=0.1,\n", - " random_seed=111,\n", - " save_solutions=True,\n", - " keep_elitism=1,\n", - " on_generation=report_func)" - ] - }, - { - "cell_type": "code", - "execution_count": 81, - "id": "e27c0159", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Last Generation Fitness: [ -5.06132055 -6.5992522 -5.57375965 -6.32142807 -6.7594152\n", - " -5.42786167 -6.48433693 -7.16351637 -6.27667307 -7.27147475\n", - " -6.41933626 -6.89178564 -6.02810726 -5.14150981 -6.6370316\n", - " -5.63691056 -8.7322761 -5.1366102 -6.52929864 -6.32706488\n", - " -5.8152837 -7.67518571 -6.98551438 -9.77806171 -5.48737501\n", - " -5.26215016 -7.88318629 -7.27038436 -6.69309995 -6.52987269\n", - " -6.11656809 -5.7959107 -9.24795942 -5.79918927 -7.35040258\n", - " -6.51225664 -6.76852854 -7.33480576 -5.6557066 -5.41934021\n", - " -6.55746172 -7.28719349 -8.34323804 -6.60235915 -5.31166211\n", - " -6.41250889 -6.72363624 -6.60297449 -7.01633524 -6.86854083\n", - " -5.04070077 -6.85228418 -5.43768003 -5.0349626 -5.91339264\n", - " -7.17292367 -7.18981904 -7.14550858 -6.00060789 -5.75174872\n", - " -5.89911836 -8.9050048 -5.98473904 -6.5070795 -6.76308372\n", - " -7.17384969 -5.0404948 -5.76406442 -5.46471323 -5.50544588\n", - " -7.1982774 -6.20742481 -6.94913984 -8.97055073 -6.62323215\n", - " -6.20023592 -5.90676559 -5.7026237 -6.6026606 -6.91141761\n", - " -6.08971758 -5.23250651 -5.59791495 -5.39820225 -5.64217696\n", - " -6.31896358 -6.89651802 -6.50765714 -7.94264404 -6.35176759\n", - " -10.18106335 -7.61815558 -6.4555703 -5.97204696 -6.86074265\n", - " -6.22534656 -6.13073476 -5.59481188 -6.73421237 -6.81263814]\n", - "******\n", - "Last Generation Fitness: [-5.0349626 -7.89094336 -5.11210742 -5.50600707 -6.02503164 -5.53608333\n", - " -5.04373859 -5.58521909 -7.52698649 -5.67285124 -6.14912439 -6.45417895\n", - " -6.91147078 -5.97818804 -7.93974846 -6.15737232 -6.1325513 -6.86734728\n", - " -6.67704905 -7.17655445 -8.71836019 -5.60243204 -5.65211757 -7.26383621\n", - " -5.65944433 -6.63377942 -7.77491656 -5.64395516 -5.95742888 -6.94389691\n", - " -7.17585032 -6.53017524 -7.01329163 -6.55492826 -6.28350002 -7.03093986\n", - " -7.26810198 -7.18043445 -5.2408176 -6.75499125 -6.04660177 -9.33498981\n", - " -5.92017006 -6.63235086 -5.66826808 -5.32118442 -6.77980491 -7.08132412\n", - " -5.98661516 -6.07836047 -5.94131203 -5.88131592 -7.14615754 -5.91525397\n", - " -6.27422928 -6.55928803 -6.08303931 -5.10285643 -7.39687021 -5.30072823\n", - " -5.27958498 -5.14756269 -6.40125361 -6.92937032 -5.57697822 -6.0084422\n", - " -7.65897447 -5.4903802 -6.2724563 -5.95093568 -6.88465492 -7.52509074\n", - " -5.76943069 -6.52337252 -6.04628295 -8.22838408 -5.9642486 -7.56003607\n", - " -5.69134267 -5.24135533 -6.97586661 -6.66640331 -5.59195334 -6.11153122\n", - " -5.72643232 -6.20716901 -8.12375075 -5.18522384 -6.50671558 -5.50437497\n", - " -5.59136297 -6.01949557 -7.17287749 -5.80433866 -5.63038046 -5.11160304\n", - " -5.60625779 -9.38702715 -5.77775335 -5.47784694]\n", - "******\n", - "Last Generation Fitness: [ -5.0349626 -5.94660218 -5.14650848 -5.81199104 -5.95448376\n", - " -7.95318227 -7.22927725 -5.89434054 -5.9303917 -5.9713437\n", - " -6.1014829 -5.45685334 -5.58350272 -5.40529642 -6.48012426\n", - " -5.57937297 -5.50600707 -6.02232025 -6.33273328 -6.64911578\n", - " -5.96314103 -6.7781796 -5.4551313 -5.18402594 -7.53164565\n", - " -5.65068164 -5.95488285 -6.7926812 -6.55472732 -7.71755984\n", - " -7.56180753 -7.21020317 -6.8481029 -6.78449794 -5.77044758\n", - " -5.42598177 -6.46435353 -6.00970389 -7.70648473 -6.10372256\n", - " -5.67701819 -5.33509707 -5.43484849 -6.37998739 -5.92419342\n", - " -6.15301315 -6.07941836 -6.13779908 -8.15080216 -6.7293154\n", - " -6.66000128 -5.34343263 -6.24913819 -8.06034575 -5.60636425\n", - " -5.41707935 -6.0644357 -5.49403543 -5.00279676 -5.3967344\n", - " -5.10681839 -5.28842231 -6.9619991 -7.37880458 -7.09613269\n", - " -7.14616545 -6.22435299 -6.64082087 -7.76707464 -5.70800349\n", - " -6.04714606 -5.64450538 -5.18190007 -5.85608444 -7.77558113\n", - " -6.1360238 -7.0707327 -6.00201718 -5.82041575 -5.51790723\n", - " -5.46352056 -5.33461666 -6.26170358 -7.91600941 -5.80014014\n", - " -10.47730774 -6.51710633 -5.8706022 -5.62299113 -7.92408669\n", - " -6.58597066 -7.65793797 -5.74783035 -5.95610267 -7.79640159\n", - " -7.13206662 -8.52227081 -5.94794283 -5.88980698 -5.85882676]\n", - "******\n", - "Last Generation Fitness: [-5.00279676 -5.8982382 -6.55000402 -7.43164763 -5.6151354 -5.54837675\n", - " -6.65027064 -6.40159219 -6.39517813 -5.48240836 -5.52054715 -5.55208978\n", - " -5.49410823 -5.25842203 -7.00819128 -5.17807995 -6.15978326 -7.88249212\n", - " -6.33084439 -5.53316215 -5.27204839 -5.40465008 -7.76408404 -6.6962135\n", - " -8.66343703 -5.69212993 -6.55424857 -5.40377107 -7.95942256 -7.60653989\n", - " -5.59818374 -6.68827688 -5.72401099 -8.4745559 -6.9726461 -7.09338696\n", - " -5.7905916 -7.98837614 -6.01816801 -6.08139542 -7.54299794 -5.4101804\n", - " -7.26575286 -5.80462288 -5.53392914 -5.41852634 -6.52918823 -6.07241321\n", - " -5.79241011 -7.37957099 -5.81982348 -5.81735337 -5.31171008 -7.79946406\n", - " -6.27731241 -5.65636026 -5.93916674 -5.71368338 -6.74730499 -5.48096167\n", - " -5.79131642 -5.94227881 -7.31586774 -5.52041893 -6.08229356 -6.1705293\n", - " -6.65122176 -6.282312 -5.76270368 -7.26940645 -5.36464096 -5.555532\n", - " -6.19791908 -7.27568485 -6.92751502 -5.52950925 -6.39680567 -5.86400657\n", - " -5.75278803 -5.5143239 -6.6781434 -5.25028103 -5.60787381 -6.56844167\n", - " -6.68251561 -5.70168717 -5.8337626 -5.73309663 -6.53639004 -7.40520235\n", - " -6.45129132 -5.91567534 -5.86854885 -7.23386528 -7.64150732 -5.76757337\n", - " -5.37559473 -5.55406382 -6.68949639 -5.90806666]\n", - "******\n", - "Last Generation Fitness: [-5.00279676 -6.36672518 -6.9093418 -8.47752348 -7.3038602 -7.50379417\n", - " -7.02435729 -5.20275481 -6.13739512 -5.81241282 -6.90283192 -6.2639146\n", - " -5.50738848 -5.86069983 -6.3439338 -5.43709967 -8.18718431 -5.38111159\n", - " -6.33742303 -9.47368932 -5.87586877 -7.54524097 -5.61544527 -5.42810575\n", - " -5.40635733 -7.43857753 -6.50238262 -5.72369932 -5.64841813 -7.25304449\n", - " -5.31239526 -5.55104272 -5.53413718 -7.6004321 -8.45134444 -6.59817813\n", - " -5.78140548 -6.35653886 -5.09322484 -6.25068751 -5.59369357 -5.13123645\n", - " -5.89405622 -6.49790681 -6.08616425 -6.41620946 -5.6560825 -5.21766256\n", - " -7.6339041 -4.84437675 -7.0131932 -7.48435149 -5.1634686 -6.69503948\n", - " -6.1182923 -5.13985693 -5.59216369 -5.60595192 -6.08483539 -5.9500749\n", - " -6.73448493 -5.79439118 -6.50872773 -6.6684054 -5.3616105 -7.50883096\n", - " -6.89978738 -6.20791671 -6.16114891 -6.43296601 -6.18800582 -5.54301565\n", - " -5.94288965 -5.51552738 -5.87953309 -6.57075913 -6.5632613 -6.71959992\n", - " -6.20951866 -5.59676753 -6.25544384 -7.27570386 -6.36083113 -5.78381952\n", - " -5.51076629 -6.69946708 -5.75864562 -6.86901397 -5.79264278 -8.4844555\n", - " -5.5439835 -6.71922965 -7.69135222 -6.35127611 -6.03696924 -5.24446864\n", - " -6.7637462 -5.66391791 -9.21637954 -4.90961122]\n", - "******\n", - "Last Generation Fitness: [-4.84437675 -5.2735202 -5.48997756 -5.42069379 -5.80593519 -6.34164771\n", - " -6.07443336 -6.54043611 -5.95512824 -5.66398461 -6.69202344 -4.93991912\n", - " -6.37315822 -7.52658586 -7.59502483 -5.89506895 -5.54222033 -5.98625427\n", - " -6.69565605 -5.74108736 -6.06403889 -6.74325297 -5.52466671 -6.88194764\n", - " -7.53243287 -6.0059746 -5.33800351 -5.83850145 -8.40533284 -9.57832118\n", - " -7.35438995 -5.50618651 -6.9951549 -5.73419038 -5.64911147 -5.52924668\n", - " -6.34136315 -6.38487322 -6.84967663 -6.0962139 -6.05569359 -5.97930236\n", - " -5.70972955 -6.33171556 -6.88399859 -6.00978087 -7.73895898 -5.52773973\n", - " -6.06067002 -5.80169204 -6.48863138 -6.29804173 -5.26799187 -6.20984578\n", - " -6.46197268 -5.89188106 -6.9149792 -5.75261463 -7.18215852 -5.78380469\n", - " -6.86965166 -5.53989319 -6.86049001 -6.26154365 -5.49887548 -5.39584097\n", - " -5.59594271 -6.08367797 -6.22924271 -6.89286498 -5.93607594 -6.62015353\n", - " -8.92019183 -5.63228406 -6.20975073 -7.76028921 -4.96817536 -6.07812314\n", - " -6.48898296 -5.0315677 -5.90522741 -7.34580927 -6.34635588 -4.95069835\n", - " -9.64411 -7.09480292 -7.56446072 -7.27217102 -6.28651784 -5.29131712\n", - " -6.37910239 -5.86646937 -6.1291084 -6.07484972 -8.89109942 -6.90335308\n", - " -5.57302072 -5.76267224 -5.67545008 -5.6939975 ]\n", - "******\n", - "Last Generation Fitness: [-4.84437675 -5.66397851 -5.39923664 -5.13671786 -6.39034422 -6.95498352\n", - " -5.90131084 -5.44961955 -7.51100353 -5.95591401 -5.54788933 -5.87622875\n", - " -6.58172799 -8.02565538 -7.37989253 -5.666024 -6.86663031 -6.62277374\n", - " -5.72327186 -6.42887115 -5.54415719 -7.17194797 -5.51342535 -7.29932059\n", - " -5.86700792 -6.22309447 -7.36551785 -6.28739567 -5.40553209 -7.78444681\n", - " -7.43024008 -6.81575677 -5.79222992 -5.69294656 -5.25311074 -6.25087481\n", - " -7.12687831 -5.35502914 -6.85150082 -7.33156015 -6.46122032 -6.09542387\n", - " -6.36299636 -6.06019419 -6.2951127 -6.18736969 -7.02194926 -6.21621803\n", - " -6.32729732 -6.2041823 -8.23681854 -5.21668106 -6.14402695 -5.43242069\n", - " -5.3314562 -8.52135929 -5.54812347 -5.91300495 -7.52360732 -5.06517466\n", - " -5.66690949 -6.98237627 -5.39826815 -5.4711152 -5.62699172 -6.32261131\n", - " -7.60102721 -5.81303447 -9.15567746 -6.50792683 -6.18178709 -7.62778524\n", - " -7.13682242 -5.03990422 -5.12970962 -7.19006301 -7.756204 -5.32972085\n", - " -6.84323254 -7.39352579 -5.79695374 -8.94259312 -5.75764404 -6.64057567\n", - " -7.02816189 -7.08077183 -7.30713166 -6.0281545 -6.49354011 -5.86973479\n", - " -6.43320664 -5.69921539 -6.77453023 -7.89777127 -6.03525964 -6.93397007\n", - " -7.20078974 -5.25392415 -5.84702285 -5.94985085]\n", - "******\n", - "Last Generation Fitness: [-4.84437675 -6.30076445 -5.28224505 -6.02259621 -8.91983235 -6.4659478\n", - " -5.31216671 -5.98918784 -5.38267116 -5.58626245 -5.24130288 -6.9616379\n", - " -6.59091743 -5.97074534 -5.55934921 -7.26515052 -5.88870088 -6.79487051\n", - " -5.75093332 -6.19663522 -5.7991154 -6.08481368 -7.60789572 -6.57704779\n", - " -6.50690657 -5.99298344 -7.05335775 -6.28306781 -7.47566345 -6.4376086\n", - " -6.72725004 -6.8699609 -5.48834854 -6.91040779 -6.06468595 -7.13096748\n", - " -6.8390226 -6.30078869 -5.81776097 -6.22266731 -5.87158853 -6.6401918\n", - " -6.80873742 -5.37904334 -6.45052147 -7.89171672 -6.32762779 -5.87330415\n", - " -7.26167543 -7.19500574 -6.85408677 -5.31689395 -5.21200669 -5.0018627\n", - " -5.35255094 -5.45656877 -5.31523388 -6.25431505 -6.25884097 -8.72073699\n", - " -6.8446495 -6.49854493 -6.4340433 -6.03290785 -6.2902141 -5.72354615\n", - " -7.06201092 -5.35953863 -5.71267449 -6.07266822 -8.23520477 -5.00140016\n", - " -8.11543077 -6.14548255 -6.78542436 -5.77204541 -6.42884403 -5.5955012\n", - " -7.77815661 -6.89283904 -7.20651661 -5.87378122 -6.24877751 -5.69464651\n", - " -6.68601062 -7.2778711 -6.22935779 -6.79249202 -6.59017259 -5.94985085\n", - " -6.43846741 -6.13158004 -7.06972173 -8.19004804 -5.7687371 -5.3423475\n", - " -5.85204596 -6.67809423 -5.43866341 -7.90055495]\n", - "******\n", - "Last Generation Fitness: [ -4.84437675 -6.7353034 -7.13265674 -6.37041927 -5.57692429\n", - " -5.99112178 -5.75761106 -5.20772655 -5.32980848 -6.99843027\n", - " -7.02565381 -6.14595602 -5.23039073 -6.86612338 -6.28304795\n", - " -6.6051862 -7.39133794 -7.19688091 -5.34407059 -7.13989463\n", - " -6.20016992 -8.80961437 -6.23897164 -6.81950775 -5.68580985\n", - " -9.31805335 -6.56099487 -5.4809721 -6.1813314 -7.66294945\n", - " -5.71250255 -6.37136622 -5.6497888 -6.09058742 -5.47576207\n", - " -5.6022409 -7.70720616 -6.23922357 -7.08704045 -5.35926802\n", - " -7.60335139 -6.84550458 -5.43076257 -6.00006626 -5.75650242\n", - " -6.10210185 -6.94593884 -5.77327148 -6.11346679 -6.57422092\n", - " -6.81858175 -6.78243424 -6.04412152 -6.84504731 -6.45168292\n", - " -5.2045055 -5.89592121 -6.38218281 -5.80863336 -6.82792602\n", - " -5.73245246 -7.61353209 -7.20059838 -6.97685825 -7.80420009\n", - " -7.68959359 -5.89197472 -6.78231418 -5.28262806 -6.48295635\n", - " -6.03896659 -6.74881136 -7.05282781 -7.04745973 -5.58212547\n", - " -6.29463816 -6.75643713 -11.07247856 -6.76743121 -6.54920979\n", - " -7.41917726 -7.86079105 -5.37779209 -6.6742938 -6.00645356\n", - " -5.48911361 -6.25604977 -6.64605153 -6.79619585 -6.74624457\n", - " -6.95264731 -7.03249667 -7.92251145 -5.90563844 -7.01765405\n", - " -5.37533671 -5.08654552 -6.01878681 -6.0454628 -6.8855791 ]\n", - "******\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Last Generation Fitness: [-4.84437675 -6.69465755 -5.28053742 -5.31684655 -5.47169494 -8.47840008\n", - " -6.86577273 -7.18589748 -5.50924737 -6.54431093 -7.2946394 -5.85891157\n", - " -5.26778314 -5.25829839 -5.87556793 -6.35601277 -5.98874326 -5.74688294\n", - " -7.06114867 -5.8387096 -6.00777834 -7.74665431 -5.83015238 -5.80241232\n", - " -5.80267806 -6.88675283 -6.82310799 -6.72514133 -5.67341237 -6.43943913\n", - " -6.26229262 -5.85571001 -5.84453721 -6.0040281 -6.145402 -6.04287581\n", - " -5.36910701 -6.62356612 -5.77980064 -5.85254303 -6.53418655 -9.32870771\n", - " -6.10494367 -6.258627 -6.57168965 -5.47135404 -7.82024689 -6.66678374\n", - " -6.159835 -5.83584722 -6.02029263 -5.59585971 -6.27235578 -6.61562597\n", - " -5.30033948 -5.25588873 -5.24927353 -6.35181755 -5.63176927 -6.43661326\n", - " -8.0550347 -6.02724188 -5.32337918 -6.03606732 -5.42067019 -5.9709178\n", - " -7.32037043 -6.36795742 -6.58102704 -7.24229741 -7.9910971 -5.84832695\n", - " -7.08143966 -6.27743033 -6.72804668 -6.34860995 -5.82420524 -7.47459157\n", - " -6.0745207 -5.98346269 -5.7730082 -5.70977049 -8.34024262 -7.21216815\n", - " -6.81018443 -6.0086891 -7.17076173 -5.93595225 -5.41404237 -5.86836205\n", - " -6.68252036 -6.6689658 -6.24129607 -6.99856583 -5.51301026 -5.59162497\n", - " -5.10449355 -6.86779193 -5.93589091 -6.27345925]\n", - "******\n", - "Last Generation Fitness: [ -4.84437675 -6.01155077 -5.22189033 -7.03875733 -5.57373565\n", - " -6.31237856 -5.06284724 -5.78502603 -5.96215096 -5.80041982\n", - " -6.59480225 -5.83525443 -6.4262273 -6.55575351 -7.28182589\n", - " -7.09457217 -5.65282162 -5.34684267 -5.8577234 -6.64523355\n", - " -6.89204031 -5.54647089 -6.61022808 -7.9605184 -6.94234703\n", - " -5.57188944 -8.06755494 -6.99797413 -6.50954697 -5.54448976\n", - " -7.09217738 -5.63810389 -6.19096337 -6.0139853 -5.86337288\n", - " -7.22182703 -7.3629452 -7.27123376 -6.18137237 -6.71009037\n", - " -6.12034896 -5.23008428 -5.34098261 -5.54846489 -6.75062362\n", - " -5.18710075 -5.88802451 -6.12692204 -5.78879581 -6.58234297\n", - " -6.35328395 -5.22421883 -5.70612333 -5.55694834 -7.07801946\n", - " -5.8450703 -5.32793572 -6.85938365 -5.39618829 -6.10948532\n", - " -6.08343103 -6.73913903 -5.16433912 -6.31600473 -12.01237051\n", - " -5.79916618 -7.60738667 -9.13662036 -8.37129102 -8.14094225\n", - " -5.4200535 -6.39236637 -6.21121815 -7.31981764 -5.53345995\n", - " -5.88705834 -5.83158613 -6.31676116 -6.78716175 -6.47211272\n", - " -5.0948354 -5.78177359 -6.99151638 -7.52821773 -5.47736958\n", - " -5.26057956 -6.13230827 -5.50570601 -5.97621823 -6.0938343\n", - " -6.24809917 -5.81222573 -7.55762444 -6.68308768 -6.92193209\n", - " -6.00872526 -6.9497597 -6.7934571 -6.59476706 -5.56922298]\n", - "******\n", - "Last Generation Fitness: [ -4.84437675 -5.26948214 -5.34587123 -5.22422044 -5.93423636\n", - " -5.1424391 -6.83664699 -6.50426209 -5.82227629 -5.74778294\n", - " -5.43670211 -5.51984749 -5.43739649 -7.03776355 -6.97202473\n", - " -6.21532294 -7.4276889 -6.10940191 -4.97031672 -6.85482409\n", - " -6.65658823 -6.05783823 -6.91667559 -6.68805525 -9.83731023\n", - " -5.92592506 -10.36155424 -7.48840532 -5.49573947 -6.70905769\n", - " -7.899647 -5.45115781 -5.82849655 -7.82860449 -9.93280859\n", - " -5.4404678 -7.05058254 -7.49016975 -5.71692984 -5.92942991\n", - " -6.19273033 -5.51892135 -7.05024091 -6.41019763 -6.85839779\n", - " -6.76445767 -6.87736031 -7.00798987 -5.39208439 -7.16823488\n", - " -9.4602993 -5.52851682 -6.40885092 -5.32597198 -5.35598573\n", - " -7.01919043 -5.35124716 -6.07937783 -6.30421182 -5.60718013\n", - " -5.40337396 -7.23814264 -6.09572989 -5.70827791 -6.35515334\n", - " -5.77257915 -5.27902412 -6.64553446 -6.4759043 -5.85531858\n", - " -6.21193489 -7.5619679 -7.40639149 -5.39411352 -5.79867406\n", - " -7.53692321 -6.78412186 -5.88980146 -5.62022071 -6.4317714\n", - " -6.19592899 -6.22143953 -6.80393633 -5.41222596 -6.06657942\n", - " -5.68609993 -7.01307597 -7.90706518 -5.84498866 -5.92489166\n", - " -6.76049732 -6.18639688 -6.6032821 -6.34855669 -5.55949702\n", - " -5.76249596 -7.38323323 -5.26615422 -6.81065435 -5.08960977]\n", - "******\n", - "Last Generation Fitness: [ -4.84437675 -7.34384323 -7.25707806 -5.44432835 -6.62556631\n", - " -5.32595197 -6.04651749 -5.47702102 -5.80327308 -6.38266257\n", - " -7.06598463 -5.46076814 -5.03469369 -5.29813545 -5.41112058\n", - " -5.8916836 -5.88206278 -6.69899867 -6.28160993 -7.63130762\n", - " -5.53531019 -6.2791445 -5.6480683 -5.36648855 -7.24816942\n", - " -5.32919634 -6.17259325 -5.40243603 -7.31798696 -5.58391314\n", - " -6.45075468 -5.80233873 -6.98627797 -5.76040087 -5.45174497\n", - " -6.87408593 -5.94263076 -5.74643172 -5.76511929 -6.0346249\n", - " -7.39019889 -5.90991233 -5.76806841 -9.24414528 -7.20130066\n", - " -6.6051048 -5.98093608 -6.68743916 -6.82971475 -6.97424631\n", - " -7.47908089 -5.5469398 -5.22727058 -5.96650746 -6.96876269\n", - " -6.27062505 -6.61303772 -6.64967724 -6.50428214 -5.12289609\n", - " -5.6453583 -5.73152796 -7.55149007 -6.483764 -5.03068421\n", - " -6.5280398 -8.09159785 -7.83497976 -5.76142342 -7.1483653\n", - " -5.7884346 -5.02282123 -5.59494824 -9.39813528 -5.18266318\n", - " -8.36860699 -6.53250877 -6.75278947 -5.54623377 -8.11915834\n", - " -6.98001616 -8.19618627 -8.95366569 -7.38767433 -5.61053538\n", - " -6.74374382 -6.50993955 -5.32677727 -5.91260169 -4.89913787\n", - " -10.0622764 -6.6034448 -6.38060125 -7.44067072 -7.35886982\n", - " -6.28494462 -6.39781194 -6.29288785 -5.75176289 -5.45118674]\n", - "******\n", - "Last Generation Fitness: [-4.84437675 -5.0408565 -5.52167161 -5.65100493 -7.52970868 -6.22638872\n", - " -5.98570163 -7.03033347 -5.60577742 -5.40331332 -5.30133107 -6.50545634\n", - " -5.41201521 -6.32378476 -6.14595943 -6.73758667 -6.05599117 -6.62878098\n", - " -5.39996512 -5.6150518 -5.42979861 -5.68138359 -5.34879244 -5.55229367\n", - " -7.74364208 -9.91860789 -7.1893901 -6.0120061 -7.35080914 -6.69819614\n", - " -5.6536858 -5.29206207 -7.19024114 -6.8423527 -5.95284123 -6.70729937\n", - " -7.49747661 -6.34748476 -5.91438574 -5.64545113 -8.13502171 -5.48745326\n", - " -6.78688056 -6.95990087 -6.07366251 -8.19468098 -5.03434252 -5.7704607\n", - " -6.54045393 -5.73148166 -6.19316912 -6.85672966 -6.98817908 -5.19756572\n", - " -6.75442239 -5.86734229 -5.50165173 -7.0430582 -6.21199853 -5.28053396\n", - " -8.34154806 -6.84939819 -7.0537816 -6.01350167 -5.57559877 -6.15031933\n", - " -5.72580031 -6.06989989 -7.05676331 -6.41870724 -5.40354664 -7.66527632\n", - " -8.06256214 -5.61194016 -5.35197156 -7.93360554 -9.42007264 -7.36383998\n", - " -6.68933032 -5.1291883 -6.90607862 -5.65089727 -5.44502574 -8.48778186\n", - " -6.69759253 -5.39346197 -5.78764754 -5.60701341 -5.62330225 -5.54914303\n", - " -6.98186013 -5.91208013 -7.81484558 -5.42499187 -6.59873987 -6.13718267\n", - " -5.54733769 -6.58377202 -5.52551074 -5.84151647]\n", - "******\n", - "Last Generation Fitness: [ -4.84437675 -7.2566712 -6.40875784 -5.27625529 -6.15225963\n", - " -6.54469964 -8.66445617 -5.45119168 -7.42570986 -5.31260768\n", - " -7.28628545 -6.32532572 -5.8604964 -5.53189762 -8.85766635\n", - " -5.3207989 -7.38500636 -6.91422953 -5.50347226 -5.83584195\n", - " -6.92571527 -7.32101954 -5.6750214 -5.6939782 -5.85663471\n", - " -5.26749855 -7.22232433 -6.26638866 -6.86972808 -6.49954801\n", - " -6.18511574 -10.00111818 -5.74727889 -6.63991806 -6.44471561\n", - " -5.87338793 -6.81000418 -5.17606209 -6.10440595 -6.69320009\n", - " -5.90185685 -5.71877916 -7.25557376 -7.46102016 -7.35087434\n", - " -6.21763352 -7.06212583 -7.38846421 -5.11382591 -7.38564854\n", - " -5.59234042 -5.54122271 -5.80847827 -6.78676626 -5.70035392\n", - " -8.92510054 -5.29046921 -6.13499138 -5.72449111 -5.67740863\n", - " -5.63099297 -6.85073489 -6.85207763 -6.63538804 -5.66129949\n", - " -5.99329946 -8.15294403 -7.18863083 -7.02198019 -10.07321053\n", - " -5.8609617 -6.27317884 -5.68269473 -6.09325934 -5.24180465\n", - " -5.88634507 -5.63352137 -8.57925373 -5.63933523 -8.96326701\n", - " -6.79399261 -7.34630366 -6.29046489 -6.55951966 -6.8267216\n", - " -5.60444397 -6.43285982 -6.95987195 -5.69755777 -7.46467249\n", - " -8.2451144 -6.07832321 -6.037005 -5.32566034 -7.00651149\n", - " -5.47624957 -6.19073843 -7.27201784 -5.95841764 -6.5191719 ]\n", - "******\n", - "Last Generation Fitness: [-4.84437675 -6.19129859 -5.92318093 -5.56622761 -5.80379524 -7.94065242\n", - " -5.14026037 -5.47549762 -5.3048252 -5.46436505 -6.82373352 -5.51460219\n", - " -6.86138579 -5.92709245 -5.08442062 -5.48052685 -5.53020184 -5.22182196\n", - " -6.73368711 -5.21391962 -6.33603666 -7.24499966 -5.47049761 -7.38623737\n", - " -5.82347249 -7.69851069 -6.31664226 -6.39804368 -5.65025752 -5.50169351\n", - " -7.82443077 -5.19689631 -6.55577247 -6.01085626 -6.62479471 -5.45689948\n", - " -5.15565331 -7.05738919 -5.65739433 -5.87240683 -5.90161854 -6.18165555\n", - " -5.14709148 -6.19098897 -6.18528168 -5.35044077 -8.72986504 -8.42255203\n", - " -5.23776505 -6.94543465 -6.05611186 -6.72654451 -6.30859612 -5.72762132\n", - " -5.96836284 -5.51664755 -6.06576168 -6.03910685 -6.60796404 -6.56107202\n", - " -4.96621524 -6.16998282 -8.28170385 -6.6478886 -5.67948069 -7.11001058\n", - " -5.99957804 -5.73664486 -8.06187351 -6.89882946 -6.45167882 -6.19982738\n", - " -7.18308224 -6.06338796 -5.71345216 -5.62786244 -7.32320389 -5.96829471\n", - " -5.61041754 -7.17364729 -5.74727889 -6.72670308 -8.33346643 -5.0193028\n", - " -8.45833134 -6.86111812 -7.53572232 -7.84482575 -5.76401967 -5.76006711\n", - " -6.44524867 -8.44065365 -5.89808368 -6.20744951 -9.67115398 -6.93421426\n", - " -5.47725913 -8.29294114 -5.55256855 -6.37659691]\n", - "******\n", - "Last Generation Fitness: [-4.84437675 -5.38545863 -5.40394219 -5.05512879 -8.08021611 -6.95394207\n", - " -5.58596766 -8.16367921 -5.35653272 -5.37025288 -6.89435316 -5.70045621\n", - " -8.11523822 -5.42218885 -5.05150295 -5.59023837 -5.95989211 -6.27810717\n", - " -5.27318024 -6.7777047 -7.51092744 -5.2481325 -5.35457205 -5.63806953\n", - " -5.62643967 -6.60202224 -6.24017776 -7.96975032 -5.57432457 -8.87837178\n", - " -6.33469351 -5.94703327 -7.46946704 -7.15240932 -6.40755747 -5.04639526\n", - " -5.69862181 -5.30718379 -6.30503507 -5.71986001 -5.74929601 -6.85432949\n", - " -7.45038899 -7.53400747 -7.719388 -6.12143448 -6.08020258 -5.23321867\n", - " -6.68785474 -5.76584626 -6.24554718 -5.8400616 -7.64837869 -6.36685988\n", - " -6.55916306 -6.21151339 -5.97840287 -5.64661937 -5.49854439 -6.65131732\n", - " -5.08913295 -6.16114648 -6.56618625 -7.20473675 -5.36555661 -4.97863569\n", - " -6.00336468 -6.48589735 -5.67623044 -5.44343107 -5.35486069 -5.92448588\n", - " -6.36393847 -5.85360845 -6.24177377 -5.66498856 -7.09088767 -7.89917267\n", - " -7.65648952 -5.88230444 -7.54589529 -6.33573636 -6.02137628 -5.33459215\n", - " -5.38749979 -5.88665509 -5.97257932 -5.50021222 -7.32191112 -5.87295914\n", - " -6.73789222 -6.4099833 -5.24916132 -6.091342 -6.48868742 -7.67663673\n", - " -6.94519666 -6.85814386 -6.80353065 -4.92606688]\n", - "******\n", - "Last Generation Fitness: [ -4.84437675 -6.29631888 -6.36771391 -7.22853403 -5.84899424\n", - " -10.17447829 -6.6200041 -5.48218082 -7.01657973 -5.17010791\n", - " -6.97710828 -7.446456 -5.76082534 -5.81130227 -8.74949605\n", - " -6.53587849 -5.38660495 -6.18014099 -6.92090827 -6.12740012\n", - " -6.27618067 -6.03972496 -5.3732612 -5.08971483 -5.76452228\n", - " -7.49490881 -6.09933135 -5.95313531 -7.48080906 -5.15920046\n", - " -7.80505713 -7.1656677 -5.73238243 -5.56130488 -5.87973241\n", - " -6.33718612 -8.07938728 -6.08367481 -5.53411269 -8.69377589\n", - " -5.69182664 -6.48932162 -6.55700333 -6.51531801 -5.14946304\n", - " -5.51233516 -5.70129121 -7.46492304 -7.07043133 -6.95356233\n", - " -7.79459697 -6.85388882 -6.52151917 -5.48685176 -7.32572729\n", - " -5.15732393 -5.7945681 -5.92671712 -5.90042432 -5.73020805\n", - " -6.45077644 -6.30365321 -5.15662487 -5.20972958 -7.12937806\n", - " -6.3134136 -5.61885938 -5.44808297 -5.48231715 -5.04390257\n", - " -5.21872336 -5.68825204 -6.66264169 -5.18640294 -5.08444326\n", - " -5.58809719 -6.33982316 -5.69306109 -5.62478464 -6.80330705\n", - " -6.42296638 -6.14285916 -5.71625791 -6.70673963 -5.54517518\n", - " -7.66096924 -6.24308449 -6.57721376 -5.92483036 -7.31122519\n", - " -7.04637317 -5.32743836 -7.23230287 -6.05712777 -6.63008631\n", - " -7.31514622 -7.51733443 -5.42851474 -6.15182854 -6.26692002]\n", - "******\n", - "Last Generation Fitness: [ -4.84437675 -7.14896889 -5.69821866 -5.27304694 -6.64020803\n", - " -6.98335482 -6.56112864 -5.43714528 -4.90829555 -6.63129193\n", - " -6.36669812 -6.54092062 -5.29008832 -5.28430294 -5.65621958\n", - " -7.52460708 -5.68658652 -6.7288607 -6.44528576 -6.15355022\n", - " -8.65748121 -5.18761065 -5.922971 -6.07814576 -5.17174856\n", - " -7.11630246 -5.49478025 -5.5396866 -5.4509368 -5.96452222\n", - " -5.85787155 -5.61626075 -6.36003212 -6.99249706 -11.14962713\n", - " -6.0115186 -5.49748834 -6.8970517 -5.39069729 -6.66738809\n", - " -5.58436769 -5.94982994 -5.57774744 -7.91151801 -6.44534395\n", - " -5.37125481 -5.71480983 -5.72882995 -6.53667883 -5.48567691\n", - " -5.82314201 -7.16466011 -5.52471819 -7.43522633 -5.484807\n", - " -5.8949765 -5.10817695 -4.99362957 -6.78476627 -5.66507628\n", - " -5.00775371 -8.1853336 -7.76043419 -6.73155546 -5.09386058\n", - " -6.02174451 -6.20558871 -7.12585832 -5.61247238 -6.3634223\n", - " -5.71079807 -5.82907328 -6.41500487 -7.18261367 -7.02244849\n", - " -5.47887878 -7.62851762 -7.49486321 -5.85317978 -5.94116588\n", - " -6.16146516 -5.14469874 -6.16641143 -6.10578689 -7.45578869\n", - " -6.42643933 -5.5569497 -5.73445845 -7.21175552 -6.07507564\n", - " -5.44654792 -5.75391375 -5.5807161 -5.56047374 -7.95089841\n", - " -6.07533558 -6.28335794 -5.64394392 -5.60446313 -5.60072186]\n", - "******\n", - "Last Generation Fitness: [ -4.84437675 -5.41814146 -5.10481451 -6.32703273 -7.33840331\n", - " -5.18083 -6.62387614 -5.15573759 -6.89837418 -7.62257938\n", - " -7.28014933 -7.23862599 -7.40634817 -6.11981685 -9.06672836\n", - " -5.40285557 -6.79820753 -5.7856727 -6.66965675 -7.0681437\n", - " -7.86838711 -7.01318945 -7.86572796 -7.31630625 -7.58527825\n", - " -5.58197749 -5.97234305 -5.01209995 -6.71052737 -5.97328561\n", - " -6.91842921 -5.46403873 -6.40728398 -5.89539777 -6.34160669\n", - " -5.21504102 -7.29469898 -6.43657011 -7.14219399 -5.85684898\n", - " -6.37013466 -8.98179623 -5.21506541 -6.44524545 -5.71295604\n", - " -6.16003647 -6.27322344 -6.89604384 -6.93538466 -5.29980616\n", - " -6.31783031 -6.99560845 -5.94460273 -7.5920028 -6.19796863\n", - " -6.21337046 -6.97211888 -6.8588196 -6.97747241 -5.38652758\n", - " -6.76938219 -5.27829842 -7.16514043 -6.0350109 -5.12431595\n", - " -6.66160969 -5.39520378 -7.07632549 -5.6370584 -5.67102122\n", - " -5.93298548 -5.47923571 -6.09064009 -6.36587386 -7.04558592\n", - " -6.09002659 -6.79078609 -6.99462052 -5.84619519 -6.28376492\n", - " -7.34075768 -5.54554897 -5.33401345 -6.73049179 -7.22814216\n", - " -5.79114867 -5.43596246 -5.08291048 -7.28229575 -10.80431754\n", - " -6.11153716 -6.18659904 -6.26352873 -6.2014899 -6.27784584\n", - " -5.70077544 -6.26127304 -5.62949954 -6.84376006 -6.41831612]\n", - "******\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Last Generation Fitness: [-4.84437675 -5.08470596 -5.72117776 -6.28415331 -6.66872382 -5.31390511\n", - " -5.20731007 -6.09295211 -5.1570674 -6.77661314 -7.17343592 -6.58344229\n", - " -7.04837147 -9.37346016 -6.4935373 -6.13741863 -6.51171947 -5.35031456\n", - " -7.35574271 -7.31452486 -5.54671884 -6.6901086 -6.55815802 -5.5555423\n", - " -6.04425527 -5.20465012 -7.02334 -6.54852192 -5.54355564 -5.90854949\n", - " -6.1496465 -6.21625294 -6.3138423 -6.68580301 -6.95156519 -5.4253793\n", - " -8.55253074 -5.73848576 -5.89694154 -6.83613114 -5.92217079 -6.16859485\n", - " -6.73796519 -5.50669891 -5.33452725 -5.0777149 -5.90591696 -5.68210369\n", - " -6.07377734 -6.48609979 -5.09716965 -6.89691997 -6.87259601 -6.15440259\n", - " -5.29872353 -5.6120901 -6.01910904 -6.39846206 -5.69606966 -5.39734603\n", - " -6.28659906 -6.65715531 -5.64995712 -6.83718224 -6.15000209 -5.52227334\n", - " -5.60522924 -5.24866974 -5.35484259 -5.9504109 -6.3980901 -6.20963362\n", - " -7.85402583 -5.86223903 -6.50203776 -5.83329437 -6.70445845 -7.21754143\n", - " -5.54585113 -6.91497595 -5.67841769 -6.57966729 -6.07558566 -6.47331302\n", - " -6.54904499 -5.83704342 -5.78155653 -5.48204684 -5.73189553 -5.58196358\n", - " -5.82769718 -8.22949568 -5.15448296 -6.13180224 -6.49743582 -7.27635047\n", - " -5.2484635 -5.16683563 -6.16447393 -5.83041643]\n", - "******\n", - "Last Generation Fitness: [-4.84437675 -5.93812843 -6.17841949 -6.25212189 -5.21170359 -5.14645994\n", - " -5.51731579 -4.93033645 -6.06576698 -5.83105884 -5.69872004 -6.74091686\n", - " -5.07959035 -5.21106999 -5.52446946 -9.02757226 -5.06438317 -6.8328384\n", - " -7.24192667 -5.20531271 -6.89115729 -5.93147455 -5.49542071 -7.05493363\n", - " -6.71622152 -5.26142368 -6.00628978 -6.56127755 -5.67455743 -5.49881823\n", - " -6.76343964 -5.97517622 -5.13350919 -5.95012245 -4.92455403 -5.7593463\n", - " -5.72793496 -9.2310681 -6.42472405 -5.54856612 -6.26363147 -6.23449393\n", - " -5.27353439 -5.61472295 -6.84881736 -5.69359012 -6.27566315 -6.98998807\n", - " -6.46094824 -6.1900586 -5.47155706 -7.278145 -7.23350032 -5.50271962\n", - " -5.45639936 -5.29075624 -6.59410412 -6.00057601 -6.63490092 -6.00262165\n", - " -6.76500973 -8.54967686 -5.07141644 -6.55282328 -6.70195475 -6.9877058\n", - " -5.41437567 -5.48958178 -7.65137854 -5.22286714 -7.7169467 -7.0838397\n", - " -9.1623376 -6.14085856 -8.98728133 -6.25631943 -5.85534094 -6.06525824\n", - " -5.46689804 -6.24341376 -6.59150463 -6.41004435 -5.51228642 -5.28418036\n", - " -5.88464181 -5.27066857 -7.02487067 -5.92203533 -5.59211035 -6.36271017\n", - " -5.26368288 -5.72412549 -5.85963486 -6.61546985 -6.4319365 -5.80671658\n", - " -5.84347302 -5.75143023 -6.54152524 -5.79902085]\n", - "******\n", - "Last Generation Fitness: [-4.84437675 -5.53939889 -8.17150168 -7.68376306 -5.23855149 -5.36230654\n", - " -5.7415648 -6.65275678 -5.33075534 -5.24201841 -6.43199799 -5.21239653\n", - " -5.76714333 -5.59628582 -5.78457182 -5.77124265 -6.10626147 -6.84761905\n", - " -8.84469723 -6.86246673 -5.49223883 -7.9216214 -6.85301203 -7.16725507\n", - " -7.04169511 -5.6092953 -7.88585815 -5.99651901 -6.00870518 -6.80080519\n", - " -5.72761322 -7.27375566 -5.49122599 -5.38667544 -5.5110349 -7.29547906\n", - " -5.73246199 -6.50244131 -6.75343149 -7.52773222 -6.77987824 -7.13573932\n", - " -5.2033853 -6.52288376 -5.5265035 -5.40053111 -6.16756873 -6.6166131\n", - " -6.04045927 -5.7889825 -5.30988481 -6.48303908 -5.57267388 -5.22632561\n", - " -5.3317762 -8.07472123 -7.47189274 -5.19677118 -5.34656906 -5.4308977\n", - " -5.87847268 -6.01493181 -5.7675795 -6.62826673 -5.99515479 -5.55757822\n", - " -5.41386046 -6.5582533 -6.22884618 -5.72281216 -6.01462311 -6.73172534\n", - " -7.47794961 -8.21355619 -5.66644837 -5.25637457 -7.92021477 -6.63248934\n", - " -7.5081389 -6.01524865 -6.10087373 -6.11330999 -5.64766365 -5.38781461\n", - " -6.32293275 -7.60405432 -6.30871328 -9.42402399 -6.60526407 -5.86898701\n", - " -5.59407391 -7.5024903 -7.48520804 -5.86834678 -7.74524295 -5.74634366\n", - " -7.5794525 -5.85277385 -8.21659227 -9.43391883]\n", - "******\n", - "Last Generation Fitness: [-4.84437675 -6.85737613 -6.13037712 -7.13005941 -5.32050589 -6.26371035\n", - " -7.16434572 -5.5573576 -5.77650841 -8.92365757 -6.18350166 -5.84554462\n", - " -6.52595338 -6.44122394 -5.8190052 -5.34139606 -5.68417662 -5.54038211\n", - " -6.66148116 -6.07616231 -5.45081094 -7.87692005 -5.80828765 -5.36406364\n", - " -5.21353833 -6.5217548 -6.20329938 -5.7937245 -5.35733701 -6.89323608\n", - " -6.65742536 -6.85354703 -6.13981911 -5.39749623 -5.61670307 -6.05713809\n", - " -6.61943574 -5.39275656 -6.40907967 -6.11724648 -6.22823895 -6.07631628\n", - " -5.30910784 -7.67237533 -5.14032067 -6.09706161 -6.53510864 -6.56559931\n", - " -7.93592411 -5.35902993 -9.07641225 -4.99055014 -4.83382943 -5.23834038\n", - " -5.71706109 -6.50804158 -4.95522172 -5.49426149 -6.04190095 -6.02088827\n", - " -6.8130526 -5.68467542 -5.43012188 -8.81480077 -5.37894109 -6.18270253\n", - " -5.80557641 -5.57503376 -5.48220849 -6.07989615 -5.60987831 -7.54459105\n", - " -7.16717727 -7.42611227 -6.07065685 -5.79737872 -4.97345887 -5.99372878\n", - " -8.38018047 -6.76470724 -6.49408336 -6.84362953 -5.30472499 -7.9826682\n", - " -5.97521618 -6.04577051 -5.57919887 -6.31281663 -7.99120529 -6.82309782\n", - " -5.66698624 -5.80251443 -6.25215929 -6.69376128 -5.46655298 -7.13577554\n", - " -7.65756612 -6.07997846 -6.2810117 -6.14612842]\n", - "******\n", - "Last Generation Fitness: [-4.83382943 -6.04634815 -6.40742396 -6.82436723 -6.32757319 -5.00442175\n", - " -5.2223277 -6.98894588 -6.61078908 -5.09312022 -5.879228 -5.67988149\n", - " -5.45706919 -5.57633606 -6.61834438 -6.09426264 -5.8751229 -5.70417384\n", - " -6.59239239 -5.95041609 -6.42234076 -6.69001405 -5.41476482 -5.1485441\n", - " -6.89131026 -8.30115644 -6.98054184 -6.13351049 -5.58816899 -6.22081839\n", - " -5.88127757 -6.66208049 -7.27931212 -5.77460688 -6.57571487 -6.19916776\n", - " -6.06856498 -8.08929542 -8.63759458 -6.92239028 -6.10306341 -6.08592423\n", - " -6.78226851 -9.12221485 -5.63473822 -6.45155071 -5.33096624 -7.12410553\n", - " -5.97435924 -5.92655226 -8.26233855 -5.38251576 -6.1122664 -8.19421828\n", - " -5.17756825 -6.60101446 -8.80990932 -6.02451851 -5.564255 -5.1846373\n", - " -5.185295 -5.8450253 -8.00452116 -6.16424117 -6.43143792 -6.51372569\n", - " -6.56915243 -5.60551593 -5.4531583 -5.71790861 -5.77392672 -5.84886811\n", - " -6.06312329 -5.23174574 -8.81985017 -5.4211759 -5.80466202 -6.96943623\n", - " -7.61380763 -5.62296693 -6.19298868 -7.98305776 -6.77228435 -9.0730456\n", - " -5.51774793 -6.08820389 -6.29622682 -5.39797318 -5.61255835 -8.66297931\n", - " -5.72244858 -7.96634404 -6.40395649 -5.86994171 -6.03156708 -6.67402429\n", - " -6.45923937 -7.2059847 -6.008592 -6.50977334]\n", - "******\n", - "Last Generation Fitness: [-4.83382943 -6.5392744 -5.9769074 -7.27270804 -5.42611289 -6.60471187\n", - " -6.66786121 -5.38469815 -5.19958284 -6.02687212 -5.31166854 -5.83689685\n", - " -6.49511566 -7.1557783 -5.25440288 -5.13745743 -5.79833027 -7.3682735\n", - " -5.46335136 -7.35191583 -5.93421434 -6.73510082 -5.66677042 -6.63870039\n", - " -6.55984954 -9.04585054 -8.81313172 -6.90327166 -7.21713711 -5.78387881\n", - " -5.83506451 -6.89573649 -6.03933335 -5.74701287 -7.26152615 -6.80532098\n", - " -4.90400395 -7.07605848 -7.28901997 -6.64374184 -6.1316221 -5.49633414\n", - " -5.92956727 -5.58603191 -7.02245808 -7.61273025 -6.12459405 -5.68473842\n", - " -5.29459741 -5.94970197 -7.49258583 -7.84214945 -5.09715873 -5.75040545\n", - " -6.80830022 -6.44191987 -4.96891067 -6.58483634 -5.80053239 -5.72677916\n", - " -5.68063111 -6.96835775 -6.39256999 -5.27231265 -7.9303423 -5.33808587\n", - " -6.01273075 -5.56420148 -8.37361581 -7.93772078 -7.17526736 -5.79973726\n", - " -6.33452345 -5.10522743 -7.64687761 -5.81485306 -6.46345889 -5.7117506\n", - " -7.38539593 -5.27650595 -6.36257973 -7.29732542 -6.64043049 -6.56970027\n", - " -8.21801202 -6.49950886 -5.83353536 -6.14527019 -7.2316567 -7.63679163\n", - " -7.13473293 -5.92688429 -5.4732936 -6.06033103 -6.04900155 -7.70116235\n", - " -6.04222814 -7.20228889 -5.8137569 -6.23944059]\n", - "******\n", - "Last Generation Fitness: [ -4.83382943 -5.951641 -6.03415933 -5.60845976 -5.42496175\n", - " -5.36121312 -5.51853732 -5.12679756 -6.64526947 -6.64091952\n", - " -5.69791975 -6.39814128 -8.01754546 -5.86358459 -6.56232645\n", - " -7.30209979 -6.13451849 -5.58508593 -5.81057932 -6.34175134\n", - " -5.50528686 -6.15001195 -7.31461682 -5.95132686 -6.31485304\n", - " -7.51910143 -6.56103148 -9.86576631 -5.8368167 -9.14383021\n", - " -5.46191741 -5.56531426 -6.1734256 -6.76291172 -6.17386232\n", - " -6.1827936 -7.19347433 -7.56310381 -8.29351539 -5.55749223\n", - " -6.24928829 -5.51322358 -5.45027236 -6.53863717 -5.89094305\n", - " -5.20581568 -7.66428054 -7.26580895 -6.20194916 -6.65459164\n", - " -5.34406264 -8.01992351 -5.29535195 -7.109197 -4.89222045\n", - " -8.93086696 -5.49636058 -6.75478986 -6.14865345 -5.81312558\n", - " -6.59849306 -5.51242607 -5.8997612 -7.42901136 -5.57686389\n", - " -6.73322892 -5.29835859 -5.35677144 -5.57973846 -5.57387736\n", - " -8.0426224 -5.58327203 -6.51492104 -6.4073551 -5.3966692\n", - " -5.36851624 -5.9586539 -5.77542538 -5.61607115 -6.26269663\n", - " -6.54700028 -5.41616109 -5.62926773 -6.85919333 -8.01051452\n", - " -5.61150105 -5.73003384 -6.02451851 -6.49571691 -6.47820103\n", - " -5.35843359 -6.46971215 -8.82038773 -6.47074023 -5.65599168\n", - " -7.44009247 -5.81658989 -7.91095618 -10.15960522 -7.09383089]\n", - "******\n", - "Last Generation Fitness: [-4.83382943 -5.44773559 -5.20853418 -5.56149127 -5.33766637 -5.28290307\n", - " -5.49170439 -7.12966805 -6.05102101 -6.35887458 -8.04992557 -6.07758926\n", - " -5.55591265 -7.6157362 -5.54159822 -5.39043066 -5.26295576 -7.31461682\n", - " -8.43080849 -5.8357064 -6.13030656 -6.25182249 -5.78772514 -6.33521517\n", - " -7.12334411 -5.3119701 -6.97368896 -7.94101515 -7.11156063 -5.51742416\n", - " -5.49231852 -6.45168482 -7.88718351 -6.94046107 -5.83465401 -6.03137237\n", - " -5.61982551 -6.17529324 -7.01265139 -6.44912294 -9.28399523 -7.0924015\n", - " -6.58833992 -6.71557517 -5.34253937 -6.01395945 -7.16422713 -5.59224627\n", - " -6.26039243 -6.23856239 -7.27157062 -5.54010325 -6.09166975 -5.99844779\n", - " -5.12935604 -5.52665391 -6.26312638 -6.39083811 -5.89241541 -5.82771643\n", - " -5.73855809 -5.68811524 -5.38139136 -5.8901806 -5.56348217 -5.80367287\n", - " -5.77864945 -5.15407038 -6.20019063 -5.87546958 -5.45261238 -5.47605439\n", - " -5.24858844 -5.82504823 -5.8189732 -7.42805222 -5.71669854 -6.17229782\n", - " -7.92299104 -5.81964779 -5.3054623 -5.58801948 -6.4335543 -5.43204085\n", - " -7.5326033 -5.47344614 -5.24690964 -7.6023915 -5.91142695 -5.36904814\n", - " -5.76870237 -5.83855036 -6.5777812 -5.7826323 -5.35588492 -5.67981789\n", - " -6.58062577 -5.84639742 -4.92600599 -5.80101758]\n", - "******\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Last Generation Fitness: [-4.83382943 -6.97272374 -6.23690003 -6.44385205 -7.44777715 -6.14080999\n", - " -5.58660315 -8.41466385 -5.5686146 -5.11705698 -5.73584772 -6.73118394\n", - " -5.94514126 -6.33357959 -5.52424504 -6.12870654 -5.89584958 -7.11834586\n", - " -7.48325218 -5.43451389 -5.67198119 -5.37644968 -7.17195586 -5.05951327\n", - " -5.87791817 -5.5885147 -5.27489738 -6.92231301 -7.41457917 -5.88152296\n", - " -6.17334366 -6.10450986 -6.17368229 -5.43950876 -6.0244885 -5.24042026\n", - " -6.61749607 -6.23267978 -6.07493574 -6.26226558 -8.82847775 -6.88866931\n", - " -6.17255183 -5.76529641 -7.02696314 -6.23703643 -6.1302857 -6.12928182\n", - " -5.53297518 -5.86575524 -7.98918048 -6.52932781 -6.65784499 -5.59427096\n", - " -5.21835722 -6.43490976 -7.90489749 -5.44931486 -5.08249196 -5.11573123\n", - " -6.52764894 -5.33439828 -6.43480552 -5.9196345 -6.89493809 -7.08009273\n", - " -5.62351482 -5.17302753 -5.72935681 -7.25051614 -6.67112629 -5.83288319\n", - " -6.25607496 -7.89400129 -8.11518204 -7.51489974 -5.76868306 -4.99552454\n", - " -5.61805018 -5.84700942 -5.53349874 -6.56741833 -6.38398684 -8.27155263\n", - " -6.56664154 -6.77729769 -5.23495097 -6.72098 -5.81307513 -6.12891322\n", - " -5.38230702 -5.52379359 -6.75581595 -5.7746645 -5.76038689 -6.88911491\n", - " -6.00081776 -6.62722283 -6.75894429 -5.60890883]\n", - "******\n", - "Last Generation Fitness: [ -4.83382943 -5.39401495 -6.916048 -5.23627832 -6.65242003\n", - " -5.32083263 -6.16468112 -7.05168325 -5.73678272 -10.44838951\n", - " -6.74363623 -5.5598681 -7.04035414 -5.41197363 -5.56095073\n", - " -5.75320239 -5.53925913 -5.85091218 -5.50486715 -5.32670845\n", - " -8.28069117 -5.72565526 -5.88936404 -6.0154789 -5.54643527\n", - " -5.33015623 -5.76712062 -5.91578147 -5.65542711 -5.47020366\n", - " -7.73066393 -5.66308232 -5.51495453 -5.65161718 -6.25212751\n", - " -7.76707464 -6.56797022 -5.85497647 -6.3270488 -6.64098436\n", - " -6.5852116 -5.12617315 -6.42949871 -6.36340537 -5.48690235\n", - " -5.23686671 -6.70391917 -7.8602184 -6.7893647 -5.81288316\n", - " -5.4396105 -5.88937065 -5.42514502 -6.32535207 -6.50476992\n", - " -5.09284984 -6.27418378 -7.32067699 -6.20431899 -5.1175703\n", - " -5.43745664 -5.40543592 -5.77747606 -7.12743028 -6.69821058\n", - " -7.30041603 -5.97262042 -6.56900994 -6.42304206 -5.8637814\n", - " -5.3181869 -5.4501681 -6.56961112 -6.17433133 -6.35232626\n", - " -5.99362873 -5.30773082 -5.5890165 -5.86232629 -5.61724082\n", - " -5.83793401 -5.73182807 -5.60018546 -6.80927262 -7.822665\n", - " -5.62874109 -5.72470207 -5.63629891 -7.45508679 -6.59306922\n", - " -5.83692503 -6.85109704 -5.83372302 -5.52241893 -5.97216885\n", - " -6.96243776 -7.18886223 -6.2083674 -7.11630246 -8.28865436]\n", - "******\n", - "Last Generation Fitness: [-4.83382943 -8.25347597 -6.62067124 -7.13732079 -6.8738175 -5.51628196\n", - " -6.61281971 -6.51626084 -5.5615548 -6.58742415 -5.66417268 -6.72314071\n", - " -6.73269279 -5.29617134 -5.76226376 -6.56269995 -6.65706688 -5.97200254\n", - " -5.12970856 -5.56662409 -5.4755419 -6.58057969 -7.40754293 -7.46264833\n", - " -6.13184846 -6.64051133 -5.37474296 -6.07323337 -6.48735038 -5.62554808\n", - " -7.20614894 -6.05098364 -5.50500703 -5.59256067 -6.3712396 -8.65367099\n", - " -8.10019915 -7.42609764 -8.03667886 -5.47900336 -6.29056997 -6.12829672\n", - " -5.58031415 -6.24112643 -8.63148269 -6.40084065 -6.20306075 -5.41192253\n", - " -6.14768068 -5.47975492 -6.70552841 -6.40138264 -5.45927274 -5.29129501\n", - " -6.30935838 -5.82725667 -5.73702527 -6.39826778 -7.74702406 -7.19734456\n", - " -7.60225655 -9.48212627 -7.19937888 -6.30219322 -6.61175446 -5.42832366\n", - " -5.37646946 -6.82819642 -7.87267511 -5.81434548 -6.5779283 -6.49751802\n", - " -7.58928509 -5.9558655 -7.6138844 -5.59317618 -7.29580134 -5.7419944\n", - " -6.9268248 -5.51443254 -6.14108117 -8.18210526 -5.8080477 -6.11538473\n", - " -7.19003892 -6.16740963 -6.61644145 -6.1087209 -7.77379042 -5.67859491\n", - " -6.1227427 -5.68617107 -6.94451534 -5.05242175 -9.77679988 -5.4409235\n", - " -5.94636177 -5.53854683 -7.45791222 -5.76219186]\n", - "******\n", - "Last Generation Fitness: [ -4.83382943 -7.68396918 -6.72414571 -5.44262102 -6.7771144\n", - " -5.81308559 -6.70117738 -5.52340109 -5.84651594 -6.36837317\n", - " -7.72675786 -5.61009141 -7.34186054 -5.86155807 -8.72558364\n", - " -5.77597928 -5.82897382 -5.76536715 -7.51491255 -6.29420375\n", - " -5.86742677 -5.44538406 -10.35753151 -6.19616459 -6.25750567\n", - " -6.1473734 -5.90828052 -6.92133339 -6.36271456 -5.38067259\n", - " -5.45306829 -7.1994404 -5.51680605 -5.73328022 -7.33905855\n", - " -5.92682442 -5.26779996 -6.6229615 -7.11386442 -7.51834106\n", - " -7.11964805 -5.59440075 -6.08104142 -5.52647866 -5.38967941\n", - " -6.28411852 -5.84517305 -8.27054518 -6.87085432 -7.88704271\n", - " -5.68871886 -5.49350578 -7.20492255 -5.38366328 -4.90322568\n", - " -5.98274252 -5.95488641 -5.98913374 -5.89598119 -5.51931844\n", - " -6.27822732 -5.81332252 -5.52964621 -6.5820517 -7.11799619\n", - " -6.6749444 -7.49901537 -5.37884773 -5.65995067 -6.1495911\n", - " -7.00847274 -6.15758825 -5.72604053 -5.03493069 -5.74625792\n", - " -6.04120993 -5.54103883 -7.03646127 -7.44007719 -6.15305687\n", - " -6.40224596 -6.12478647 -6.78295746 -7.55317062 -5.97485973\n", - " -6.52607341 -5.38984192 -7.322445 -5.88908883 -7.92990592\n", - " -7.58239708 -5.67540669 -6.26241527 -5.46233362 -5.38063368\n", - " -5.66404648 -5.93993989 -7.61112155 -6.3507291 -6.57094747]\n", - "******\n", - "Last Generation Fitness: [-4.83382943 -5.2268542 -5.26697639 -5.30119643 -5.49835142 -5.36866069\n", - " -5.85842345 -6.35887656 -6.78753616 -9.77948443 -5.35818428 -6.84614085\n", - " -6.05291468 -6.38156726 -6.11071815 -5.58051318 -5.13471181 -6.07552148\n", - " -5.38925978 -7.45687055 -5.02648076 -5.59098435 -6.73193637 -5.85590022\n", - " -6.12502075 -6.64770367 -4.91067725 -5.8142934 -6.75654753 -5.29308176\n", - " -7.48830484 -6.01284284 -8.29628997 -6.6951515 -6.45338364 -5.55997556\n", - " -5.36857711 -5.85949698 -6.56171977 -5.86605857 -5.29358758 -5.98726597\n", - " -5.8632252 -5.49839602 -6.34261863 -5.81714722 -6.31493871 -5.69573486\n", - " -5.40431561 -6.28848403 -6.37948636 -5.97232604 -5.55124264 -5.2743468\n", - " -6.01356646 -5.89925653 -5.80395871 -5.25669106 -6.07051599 -5.53917307\n", - " -5.60184004 -5.5914127 -6.21431003 -6.56983559 -5.45346271 -7.5627167\n", - " -7.19004508 -6.45116843 -6.72769074 -5.69869285 -6.06888439 -5.6626592\n", - " -5.78655639 -5.59332573 -5.91800511 -6.81057851 -5.88609364 -5.3518706\n", - " -5.96091711 -6.94226345 -6.22949497 -6.64983993 -7.38117924 -5.71375387\n", - " -6.01914238 -6.19204294 -5.61138219 -6.6372952 -5.51025861 -6.83142892\n", - " -5.37144791 -5.30320937 -8.40106731 -5.31435488 -5.70072821 -7.53758613\n", - " -6.97530805 -6.55290538 -5.79183836 -6.82718372]\n", - "******\n", - "Last Generation Fitness: [-4.83382943 -6.24602471 -5.90883938 -6.12897138 -6.49687278 -6.61395462\n", - " -6.97741974 -6.44669411 -7.00787292 -6.1741516 -5.54193607 -6.64420645\n", - " -5.9369341 -6.70098306 -5.59130199 -5.76558776 -5.23969167 -6.42937695\n", - " -7.90110207 -5.6763848 -5.36887949 -5.96954675 -5.80006991 -5.37020321\n", - " -5.65190351 -5.57367158 -5.51668523 -5.75052079 -6.35944143 -5.61317562\n", - " -8.31177907 -6.09003744 -6.15148959 -5.55650382 -5.20217575 -6.09368544\n", - " -6.5127308 -5.22061143 -8.12546027 -6.13023767 -5.6269902 -6.92517078\n", - " -5.4672467 -6.59930293 -6.39184969 -6.01252768 -7.18045537 -9.25189233\n", - " -6.99560845 -7.28406421 -7.01426891 -6.63813825 -5.57518966 -6.0530003\n", - " -8.94920988 -5.02327395 -4.97970659 -7.00109971 -6.31318999 -6.45770996\n", - " -6.66440264 -7.14324294 -6.45213203 -5.90711882 -6.61745719 -5.87863101\n", - " -5.83049645 -5.59266716 -5.89871197 -5.41437624 -6.29605622 -5.36216357\n", - " -6.34199342 -6.49907954 -7.56051587 -5.1917291 -6.47070014 -7.42366418\n", - " -5.52868903 -5.90937101 -5.4358158 -7.64505422 -5.40299109 -5.33146116\n", - " -5.59508961 -8.16849489 -5.95322651 -6.85001846 -7.84466263 -6.49585674\n", - " -5.92884532 -5.55876644 -7.40883292 -5.7470595 -5.59208271 -6.43957925\n", - " -6.53027016 -6.33887099 -6.3405045 -5.85706181]\n", - "******\n", - "Last Generation Fitness: [ -4.83382943 -7.21783084 -6.77521665 -7.50418842 -5.52055969\n", - " -7.4381891 -7.729493 -5.72529227 -5.81522823 -6.11418852\n", - " -5.41397144 -6.54857761 -5.61460359 -5.20464404 -5.55234648\n", - " -6.21021383 -6.40166084 -5.56740341 -5.88119677 -7.12967382\n", - " -7.38079256 -7.02310027 -7.02043772 -5.69245919 -6.46865203\n", - " -5.23287091 -5.48013345 -8.70495155 -6.35302914 -8.54606657\n", - " -7.6103108 -6.92183195 -5.29430463 -5.31031307 -5.82009038\n", - " -6.07990753 -5.86671568 -6.45080651 -6.65032927 -6.08783903\n", - " -6.98450482 -6.73730622 -6.28763719 -5.71155395 -6.74792817\n", - " -5.77079345 -6.26910733 -5.79220493 -6.81549689 -6.63333262\n", - " -5.67455613 -5.76425391 -5.19240045 -5.34286437 -6.64056691\n", - " -5.00452369 -10.13421812 -5.65844002 -5.79365453 -5.10003584\n", - " -5.88370752 -5.77933132 -5.74515916 -6.02278885 -6.85240685\n", - " -5.46613074 -5.73522824 -6.44023221 -7.43881429 -9.41389545\n", - " -5.34489996 -5.59193863 -5.60293722 -6.77138144 -6.90850172\n", - " -5.48826272 -5.63791795 -7.20512239 -6.85747574 -7.41341518\n", - " -5.26904761 -5.96305804 -5.98315925 -8.25570742 -9.14555306\n", - " -5.77685022 -7.00405642 -5.41915457 -5.8259427 -8.38842627\n", - " -5.3371504 -5.86958934 -5.67725761 -6.75097367 -6.20074737\n", - " -6.27984724 -6.90610797 -5.54199133 -7.91992547 -5.51285132]\n", - "******\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Last Generation Fitness: [ -4.83382943 -5.93184614 -5.49762219 -6.97010627 -6.82308741\n", - " -5.43164805 -7.38930585 -5.66952308 -5.89397362 -6.21277007\n", - " -5.67223209 -5.38368782 -6.29582903 -5.76925294 -6.75864624\n", - " -5.61598322 -6.11295749 -7.63145997 -5.46070119 -5.28269241\n", - " -5.50040821 -5.55633628 -6.55354312 -7.07087311 -8.9170622\n", - " -6.32526744 -6.68350557 -6.01626731 -9.77075259 -6.8544585\n", - " -7.08463196 -5.16438794 -7.40276938 -5.22702955 -6.04306402\n", - " -5.60423378 -6.1873093 -5.55169004 -6.46403548 -6.10113427\n", - " -6.41236353 -6.48892636 -5.4451971 -7.55809805 -6.01828015\n", - " -5.482028 -7.62756205 -5.82095051 -6.27780485 -5.8650434\n", - " -5.34361272 -5.37534416 -5.22145319 -7.15759938 -5.51227508\n", - " -6.4472987 -5.92734355 -10.03061562 -5.24619925 -6.068055\n", - " -5.16993054 -7.68956939 -6.28115594 -9.17610141 -5.53325502\n", - " -5.41137912 -8.71771373 -5.99917121 -7.50876185 -5.34949446\n", - " -7.39699196 -6.19033002 -5.59193863 -6.37163981 -8.77570326\n", - " -6.68732291 -6.87680465 -6.4885106 -5.51248428 -7.51478159\n", - " -4.96229463 -5.6926671 -5.88078536 -5.75495114 -5.4891976\n", - " -6.44676588 -6.14037417 -4.87577915 -6.54353755 -6.54331973\n", - " -5.88 -5.85449693 -5.29982592 -5.72811348 -5.87127649\n", - " -5.63287424 -9.29821087 -7.84897246 -7.53538513 -6.97811842]\n", - "******\n", - "Last Generation Fitness: [ -4.83382943 -6.37621577 -5.39601626 -6.65884226 -6.04916328\n", - " -5.80090045 -5.62437936 -8.35293088 -5.8014052 -6.29202386\n", - " -6.66915079 -6.04206432 -5.31724486 -5.59396723 -5.4006239\n", - " -6.63203786 -5.12639153 -5.89831565 -6.98695645 -6.0077431\n", - " -5.53737544 -7.12953228 -5.51615919 -6.46849515 -5.76275277\n", - " -5.47382915 -5.21637129 -6.78167127 -6.57291608 -6.62657017\n", - " -5.42166419 -7.59186202 -6.32552216 -5.77460688 -6.18401959\n", - " -6.20239103 -6.33357959 -5.32927688 -6.3209224 -7.48359168\n", - " -7.27390307 -7.24294635 -5.5442084 -6.03934387 -5.33329837\n", - " -9.17631284 -6.35051395 -8.76282995 -6.1108332 -6.46887103\n", - " -8.64483253 -6.20044641 -5.22719974 -4.63635012 -5.05893356\n", - " -6.43061728 -8.64424688 -5.29799755 -5.51495118 -5.58281647\n", - " -6.54908301 -10.37415418 -5.5062514 -5.12123279 -6.66953871\n", - " -6.5171204 -7.55522744 -8.34491928 -5.81341511 -5.63690664\n", - " -6.82354386 -5.18139243 -6.20288268 -8.42055924 -7.4939381\n", - " -5.49061376 -6.67514386 -7.36489849 -6.52174623 -7.15780691\n", - " -7.58683105 -8.94119419 -5.1410997 -6.505044 -6.3528503\n", - " -8.99020289 -6.63179113 -5.12641289 -5.85803599 -6.54816281\n", - " -6.02894534 -5.69165332 -5.72393116 -7.68429221 -5.90044639\n", - " -7.107268 -7.89123642 -7.14103925 -5.65688762 -7.95219882]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -6.03381794 -5.38579454 -7.24092583 -7.08529521 -5.63619498\n", - " -7.17379245 -5.63061079 -5.10946801 -5.37443954 -5.50550222 -8.19116084\n", - " -7.46095516 -5.27858756 -5.1058267 -5.53085641 -5.80155258 -6.37071862\n", - " -7.6229843 -7.02570749 -5.66099567 -6.17051684 -8.16418196 -6.36908671\n", - " -6.65441249 -5.60790427 -5.58484024 -5.8258631 -8.91759587 -6.13898399\n", - " -6.19602847 -5.91296836 -5.76135312 -5.24534272 -6.53704995 -6.46304624\n", - " -6.7499378 -5.75404483 -8.08244749 -5.82500777 -5.96565058 -5.9572533\n", - " -7.52162612 -6.83531919 -7.73053877 -5.8527707 -6.18003407 -5.69587383\n", - " -5.06127913 -6.20520352 -5.45120763 -6.06256911 -8.39589587 -6.2436128\n", - " -7.02194755 -5.60210108 -6.87056392 -6.27020495 -5.46809339 -5.70204828\n", - " -6.51334001 -6.67733282 -5.5565619 -8.61808195 -6.56522805 -7.20592401\n", - " -6.70606149 -7.23025286 -7.70648505 -6.19882621 -6.47565502 -7.02125392\n", - " -5.05588195 -5.68955263 -8.56488933 -6.35267827 -5.14680175 -5.39693887\n", - " -5.32491648 -7.51683994 -5.64580663 -6.79270679 -6.77941125 -6.00773702\n", - " -6.67526779 -5.64530167 -5.96894409 -6.09771107 -7.47840938 -7.23243226\n", - " -6.4742924 -6.2032602 -8.62853149 -5.87259206 -6.31513621 -6.14497298\n", - " -5.80208969 -5.86948831 -5.96146894 -5.77264237]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -7.27208075 -4.74329241 -6.44355254 -5.25525737 -5.40654997\n", - " -5.78098215 -6.00912996 -5.90551209 -5.51810049 -7.43970452 -6.93567895\n", - " -6.44729331 -5.49355225 -5.11398005 -8.29301164 -6.48685762 -6.37841908\n", - " -5.26957538 -5.49556679 -4.93317562 -7.04244326 -5.50490829 -5.17949982\n", - " -5.40764001 -5.85355442 -6.70060442 -6.67421228 -6.35564538 -5.69436267\n", - " -5.72489117 -5.99355421 -5.33278296 -7.45516104 -5.59423763 -9.35174774\n", - " -6.54665397 -5.33493788 -6.60965175 -5.33021165 -5.62064852 -6.86700582\n", - " -7.00521583 -6.71093868 -6.15331476 -4.86318432 -5.31481443 -8.54078299\n", - " -8.07700591 -6.92127724 -6.01609872 -6.01912182 -5.78579342 -4.90072321\n", - " -6.42378498 -5.4979525 -6.99644187 -6.15407358 -5.1439646 -5.45052921\n", - " -7.53575128 -4.84394743 -5.5327053 -5.80606477 -5.72911132 -8.14404211\n", - " -6.15963744 -5.04504227 -6.7234659 -5.36020895 -7.60048868 -5.27363689\n", - " -5.69513468 -5.84800835 -5.49672548 -5.3608063 -6.01922532 -5.37058388\n", - " -5.57296894 -6.80991117 -6.67757945 -5.39319526 -6.53558621 -5.88000039\n", - " -7.9112478 -8.7008169 -5.85037563 -5.26455527 -6.26865182 -7.3261051\n", - " -6.17662039 -6.24503307 -8.83968255 -5.52717973 -7.72735252 -6.24464173\n", - " -5.70844945 -6.01870713 -5.58673451 -6.46830556]\n", - "******\n", - "Last Generation Fitness: [ -4.63635012 -6.73817814 -6.06140008 -6.27732863 -5.82621486\n", - " -5.02286406 -7.22004375 -5.49048179 -5.27428105 -5.39090651\n", - " -5.67932701 -6.0795858 -6.19162476 -6.16769284 -5.49309622\n", - " -6.82198628 -6.20457592 -6.32618272 -6.59969024 -6.83638807\n", - " -5.88798861 -6.8948331 -6.74087315 -5.61223512 -5.70341829\n", - " -8.12858575 -5.98265531 -5.18191595 -7.50550419 -6.47619372\n", - " -6.13673335 -7.14978663 -5.62334237 -6.68660981 -6.21169141\n", - " -6.27339749 -5.94367899 -6.71138681 -6.03803865 -6.60668225\n", - " -6.15657407 -5.61362019 -5.70010418 -6.43348358 -6.71716839\n", - " -7.39353176 -5.51274036 -5.54412016 -7.07124612 -6.03772478\n", - " -6.1300429 -6.48388008 -5.04150254 -6.82079489 -6.25922561\n", - " -5.24125364 -5.43430998 -6.65590395 -6.84365904 -5.1031345\n", - " -5.56651824 -6.16169673 -5.77582053 -5.25528819 -6.39463515\n", - " -5.10929459 -6.9364917 -7.60154882 -5.41465955 -5.81159198\n", - " -7.3980422 -6.78037786 -6.88137371 -5.42691791 -10.60249044\n", - " -5.32735654 -6.63572439 -5.49672548 -7.15435018 -5.33750756\n", - " -5.52627604 -6.39607523 -6.35462902 -6.65687265 -5.6701696\n", - " -6.18709053 -6.25638973 -5.9646679 -5.21698445 -7.87487655\n", - " -6.69134529 -5.47261461 -5.6732559 -4.97691063 -8.11112557\n", - " -5.56212366 -6.87188703 -6.64441194 -5.86000238 -6.18012356]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -5.15875335 -5.54641713 -4.90501979 -5.01650028 -6.75283061\n", - " -5.70809681 -5.35950803 -6.43319206 -6.22417906 -5.73727331 -4.74595383\n", - " -5.31134909 -5.29767631 -5.41306018 -6.20820404 -5.03724041 -7.71102216\n", - " -4.90952912 -8.03628804 -6.22893968 -7.70597304 -5.87795195 -7.45017941\n", - " -6.15285211 -6.1181865 -5.26753131 -5.43083607 -5.29481766 -6.66023803\n", - " -7.82652888 -5.47128808 -7.7718329 -5.6600231 -7.57726216 -5.99411215\n", - " -7.1117914 -9.50612761 -5.86802797 -6.16557385 -7.03824633 -7.81184188\n", - " -6.04730821 -5.92925799 -5.7840827 -8.08269086 -6.30392505 -6.0145228\n", - " -6.02610708 -6.74062462 -5.90653747 -5.1418611 -8.0141651 -5.35023768\n", - " -5.14577892 -5.92497143 -5.747918 -5.44455705 -5.51733236 -7.99340542\n", - " -7.74670794 -5.74411944 -5.86314553 -6.44529772 -6.49686928 -8.6044846\n", - " -5.93198483 -6.16299013 -5.63098915 -5.36186026 -5.77968951 -5.86837945\n", - " -5.59267236 -6.27874086 -6.49671482 -7.16588875 -5.82368799 -5.46645392\n", - " -6.04663032 -6.67455794 -5.63491596 -5.16849345 -5.85681828 -5.97793393\n", - " -5.48140109 -6.24112471 -6.04867179 -6.19752583 -6.63475699 -6.34679719\n", - " -6.51898145 -7.40588122 -6.42353953 -5.73800476 -7.86382814 -5.37092923\n", - " -6.75318468 -6.32121494 -6.32727141 -6.12707036]\n", - "******\n", - "Last Generation Fitness: [ -4.63635012 -6.40658302 -5.75554378 -4.75562528 -5.74465489\n", - " -5.60363083 -5.21180947 -5.53895697 -6.1936198 -6.6499837\n", - " -7.53572232 -5.25103669 -5.98583566 -6.11267487 -7.73138482\n", - " -6.86421612 -9.01224966 -5.96419152 -10.17932768 -6.21886923\n", - " -6.68302997 -7.87990589 -5.69456444 -5.47943362 -6.24554319\n", - " -5.74719388 -5.42107397 -5.52467586 -5.80195436 -5.92115497\n", - " -5.13796918 -5.98395312 -7.58580399 -6.42430353 -5.67950712\n", - " -5.54287916 -6.82366825 -5.9423901 -6.61299056 -5.14689896\n", - " -6.42087165 -5.87222326 -5.47958697 -5.71090546 -5.9925135\n", - " -7.29937187 -7.05497371 -5.72693318 -5.68139364 -6.24674149\n", - " -8.48922076 -7.21858345 -6.00957918 -5.90994014 -5.3748325\n", - " -5.49198643 -7.67923202 -5.13414772 -5.26909862 -6.84211569\n", - " -6.43247674 -7.39063986 -5.59901225 -5.65930587 -5.12882106\n", - " -7.20611454 -5.26947834 -5.73685855 -5.42452844 -7.29727821\n", - " -6.85012629 -5.84862773 -5.54927015 -5.78308643 -6.23533861\n", - " -5.70190274 -6.27346566 -7.96661729 -7.00923193 -5.36131147\n", - " -7.11087772 -6.74278264 -6.63369987 -4.78822342 -6.09988877\n", - " -5.49606753 -6.658333 -5.66228252 -6.05309834 -6.90056226\n", - " -5.38718019 -6.32596141 -5.33130151 -5.93799319 -6.95084387\n", - " -5.88096006 -5.9097459 -6.80827545 -6.07520488 -7.17522133]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -5.26156162 -6.77443606 -6.05422849 -6.01974365 -6.8097841\n", - " -5.55092405 -6.41315626 -7.67489897 -5.86006137 -5.26614353 -9.28785747\n", - " -6.3889148 -6.12828699 -6.65253495 -5.12458207 -5.96317898 -7.21272568\n", - " -5.23934199 -6.87179581 -5.63131304 -6.72250053 -5.47995626 -5.70284999\n", - " -6.31638387 -6.21008327 -6.00374668 -5.42061551 -5.28693809 -6.00120092\n", - " -6.24088752 -6.275009 -6.452162 -6.43518453 -7.12126131 -5.59572338\n", - " -5.47600926 -6.41229681 -5.12475219 -6.74330317 -5.94972463 -7.0588153\n", - " -5.74936083 -6.11193129 -6.34965052 -6.292547 -6.19637763 -8.81009617\n", - " -6.40939399 -6.32275259 -5.08113971 -5.61954957 -6.41336214 -4.74778931\n", - " -5.21489247 -7.47343267 -5.90001406 -5.49438544 -5.42958345 -6.76235021\n", - " -5.22146807 -5.37703758 -7.38141561 -6.65068553 -7.77405575 -5.93574518\n", - " -7.43317602 -6.71340345 -5.41825144 -6.77546118 -6.57361645 -5.51520603\n", - " -6.76905685 -9.86319076 -5.51742985 -5.57320257 -6.84541403 -5.04916564\n", - " -6.67594337 -6.42749015 -7.05693412 -6.56595041 -7.17569762 -6.00075693\n", - " -5.57213905 -6.25406847 -5.73704205 -5.12148249 -6.43420901 -5.60989349\n", - " -6.52249309 -6.76058596 -5.42311167 -5.21321138 -5.56971696 -5.77002399\n", - " -5.403988 -7.00497659 -5.75415813 -6.75898319]\n", - "******\n", - "Last Generation Fitness: [ -4.63635012 -6.93439529 -6.61887394 -7.24532832 -5.63349028\n", - " -6.15321712 -6.50966531 -6.86630798 -5.26535962 -7.8503594\n", - " -5.81175969 -6.06764924 -5.20726795 -5.7768942 -6.78804981\n", - " -5.34932458 -6.53390393 -5.41091061 -7.86785959 -6.37850656\n", - " -5.25856444 -5.27604083 -5.30830717 -8.06710563 -7.55580361\n", - " -6.97464808 -7.59385566 -6.75176959 -5.96296461 -5.50649312\n", - " -5.63741791 -7.68764538 -5.42876693 -6.59168304 -5.762294\n", - " -5.69224667 -6.90001645 -6.47389717 -7.69835924 -6.90854526\n", - " -10.28624773 -5.63398438 -5.96729997 -5.21878825 -5.91297942\n", - " -7.28023315 -8.61755591 -6.51836421 -6.53410184 -5.74449026\n", - " -5.42140792 -7.29936827 -5.23396963 -5.26849057 -5.31297848\n", - " -5.14186752 -5.56420302 -8.75366525 -5.09190091 -5.9823086\n", - " -5.24977394 -7.41732059 -5.34318255 -6.38480297 -6.20924374\n", - " -5.57546073 -6.37008505 -6.09800631 -6.25125459 -5.56046226\n", - " -5.76814487 -5.2318906 -5.53776441 -6.8388862 -5.1206786\n", - " -5.96939665 -5.82768636 -5.6119341 -5.65363984 -5.9876386\n", - " -7.085395 -8.28206067 -6.34835685 -5.97797347 -7.54338805\n", - " -5.51529519 -6.35815667 -5.48921613 -6.0890556 -6.05535309\n", - " -6.33050343 -6.26587955 -5.71462637 -6.41213047 -8.40614161\n", - " -8.24701761 -9.54263978 -6.67071569 -5.95603733 -6.04105404]\n", - "******\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Last Generation Fitness: [ -4.63635012 -6.0613198 -7.4961785 -5.08046044 -6.40648447\n", - " -6.20227369 -6.776805 -6.07541232 -6.55117803 -5.9845712\n", - " -5.64309646 -6.64343592 -5.97099397 -5.76558361 -6.11200603\n", - " -6.18580332 -7.16140175 -7.46937267 -6.95371051 -6.41073536\n", - " -5.11495953 -8.02254198 -5.88481646 -6.06554876 -7.02280626\n", - " -5.50841973 -6.11412002 -5.75140556 -7.83966772 -6.05844045\n", - " -9.31798414 -6.69067771 -6.38945483 -6.9905692 -7.43836535\n", - " -7.37505043 -7.32233328 -6.99742663 -5.27508693 -6.03465606\n", - " -10.72896361 -5.33042706 -7.71423103 -7.76530653 -5.96939665\n", - " -7.27667221 -6.78256365 -5.98728646 -6.2772971 -6.91493044\n", - " -6.04770444 -5.1430623 -6.76952223 -5.86732716 -5.35838933\n", - " -5.00687087 -8.91539832 -6.15949176 -5.6640807 -7.30332217\n", - " -5.28520513 -5.36475732 -4.85169871 -5.32901291 -8.34892644\n", - " -6.56613672 -5.31883781 -5.52060588 -6.33171996 -5.30585495\n", - " -6.37494044 -6.22722234 -7.281918 -5.7374261 -5.97394362\n", - " -6.30600315 -6.30376406 -5.75079736 -6.7975497 -5.32599518\n", - " -5.58331911 -6.97745938 -6.34670469 -7.50811454 -5.1532792\n", - " -5.97396259 -5.20500021 -6.72132127 -5.4397953 -6.86006241\n", - " -5.2146695 -5.32715696 -6.50175212 -5.93762709 -6.12907285\n", - " -6.38606411 -6.94560179 -5.69385743 -6.9962247 -5.90011357]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -6.31425098 -6.72168048 -5.40225275 -5.45182332 -6.87692863\n", - " -8.50849296 -6.16805114 -5.47345412 -7.40484608 -5.47816969 -5.91720242\n", - " -6.43343908 -5.39986223 -5.91461966 -6.69774594 -6.13259766 -6.6419143\n", - " -6.77368795 -5.35995679 -5.77462241 -6.21562322 -6.01758644 -6.03222938\n", - " -7.25654321 -5.92462572 -7.38580677 -5.58304446 -5.67227467 -6.04559251\n", - " -6.45352019 -5.04282736 -8.48190114 -6.61925653 -7.70536408 -6.18431723\n", - " -6.58218966 -6.36646198 -5.7315505 -5.54991677 -9.36891541 -5.94065174\n", - " -5.87928646 -6.13697367 -9.37632308 -7.05014189 -5.48023619 -7.54765405\n", - " -8.70992585 -6.40937063 -6.74699196 -6.13494445 -5.269535 -5.33712899\n", - " -6.7628988 -7.20380743 -6.87530583 -5.43485683 -6.91308179 -5.38332527\n", - " -5.63909025 -4.69499281 -7.72939508 -5.93311732 -5.89365038 -5.48064963\n", - " -5.53909002 -6.15462936 -7.90389403 -8.96411548 -5.8379679 -5.79597718\n", - " -6.67504689 -7.19471326 -7.17101734 -5.51826065 -5.3936264 -8.68303273\n", - " -6.33035124 -5.77791719 -6.08687995 -7.07291724 -6.91595095 -5.40500301\n", - " -6.40718158 -5.43122773 -7.30518379 -6.75763884 -6.35040454 -6.08033253\n", - " -5.3037241 -5.68539002 -7.00272913 -8.20992925 -6.0915378 -5.23381792\n", - " -5.6929108 -7.19067047 -6.35778083 -6.73106274]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -6.35672727 -6.82438986 -6.40980443 -6.7137796 -6.44803878\n", - " -5.86973183 -6.47171842 -6.30628167 -7.85817307 -6.08569905 -5.11360933\n", - " -5.61981645 -6.59754472 -5.08884347 -6.34033792 -7.77462006 -6.05118392\n", - " -6.55065824 -6.66003592 -6.81579825 -5.30802102 -5.35843332 -7.94630099\n", - " -6.20444549 -6.90210901 -6.34475194 -5.8526605 -6.73011157 -6.77993187\n", - " -5.44759857 -6.2946005 -6.16294216 -6.12765707 -5.80755438 -6.31959012\n", - " -6.67290574 -5.30049334 -6.16612435 -5.3971328 -6.13515472 -6.77035065\n", - " -5.43232666 -7.76745767 -7.14271828 -6.66996031 -7.34327223 -6.65496636\n", - " -4.99256981 -7.006889 -8.45356019 -5.29528895 -5.46661335 -7.66516025\n", - " -5.28591314 -6.34885499 -5.60294709 -7.48672829 -5.64766191 -5.79661841\n", - " -6.54381068 -5.6312643 -5.33870064 -5.61625394 -5.91446577 -5.12013903\n", - " -6.45837252 -5.20181881 -6.16817852 -5.50892583 -7.62234975 -6.27140006\n", - " -6.00304742 -7.41488592 -6.60746127 -5.69780178 -5.43217054 -5.63663047\n", - " -6.28202936 -6.6675352 -6.11517669 -5.43403835 -5.79446837 -6.23805076\n", - " -6.11855773 -6.40885131 -5.79358696 -5.73136306 -7.26788826 -5.25412979\n", - " -8.14067466 -5.65946854 -5.68603883 -9.0730456 -9.66615006 -6.24162868\n", - " -6.39575658 -6.9608595 -5.57882839 -6.61015035]\n", - "******\n", - "Last Generation Fitness: [ -4.63635012 -7.0215864 -6.25370946 -6.09500499 -5.34863594\n", - " -6.87165681 -6.05287256 -4.82234004 -6.01030014 -6.65345778\n", - " -5.49421274 -6.4360375 -5.75337269 -10.73342811 -7.88695308\n", - " -5.03141398 -7.21504311 -6.08945323 -6.74279677 -5.42928805\n", - " -7.18592793 -9.15994199 -7.31685634 -5.27074142 -5.69339424\n", - " -5.79040407 -5.44088365 -5.80671414 -5.36760303 -6.38467498\n", - " -5.63978608 -5.73136306 -6.56438656 -6.63612605 -6.66277931\n", - " -5.05932026 -6.25179255 -6.09907187 -5.67086585 -6.24213902\n", - " -5.99337336 -6.95954097 -5.66987836 -6.72616631 -8.48956829\n", - " -6.37436373 -7.47687701 -6.68869438 -6.11442613 -6.26502607\n", - " -5.91371756 -6.00017 -7.63856165 -5.15603671 -7.5410779\n", - " -5.47252965 -5.00357912 -5.00775371 -6.08952767 -7.30618615\n", - " -7.14283277 -5.4048333 -5.48866592 -5.57019456 -6.20927614\n", - " -5.82946782 -5.55958348 -5.59640615 -5.59368371 -7.24420091\n", - " -5.87188067 -5.3055634 -5.78571325 -5.50667255 -7.86522437\n", - " -6.23001205 -5.75119932 -6.19100835 -7.58973267 -5.92488137\n", - " -6.62899158 -5.62618496 -5.63341594 -6.06490035 -6.25663577\n", - " -7.3412051 -5.73201373 -5.37807389 -6.40248358 -7.10555215\n", - " -5.65782415 -5.55421162 -6.95816132 -7.45067276 -6.46014854\n", - " -6.37632964 -6.35158641 -6.82256804 -5.91298692 -6.78523476]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -5.39716635 -5.19470126 -8.37543885 -6.28466011 -7.27023758\n", - " -7.77579798 -5.47598926 -8.23029273 -6.3735438 -6.02943103 -5.7857197\n", - " -7.30223738 -7.81867626 -6.74187905 -5.39705277 -6.21894887 -5.42875625\n", - " -5.75262518 -5.66297494 -7.58973267 -7.7961094 -5.70054602 -6.22161694\n", - " -4.82404297 -4.88602506 -7.36906569 -7.67374218 -6.58795488 -5.82344916\n", - " -5.52251539 -6.17672353 -8.22112113 -6.12397207 -5.099916 -6.1942574\n", - " -5.9817593 -6.99610178 -6.23087072 -6.10197866 -6.15540023 -5.06668233\n", - " -7.34872231 -6.48359757 -6.40833948 -6.44169429 -7.23391336 -6.50939233\n", - " -5.83615202 -6.42402519 -8.36439 -6.37985074 -5.55324032 -5.9825911\n", - " -4.81379666 -5.27009902 -6.88793654 -5.72560817 -5.19761611 -5.23775308\n", - " -5.63048949 -5.25284191 -8.08341637 -7.45761804 -6.56534736 -7.24713483\n", - " -6.3461943 -7.1397083 -7.14397506 -7.15741695 -5.7169465 -5.63400308\n", - " -7.41962007 -8.05458696 -7.06758979 -8.33434136 -6.301832 -6.74271867\n", - " -5.52665357 -5.64095475 -7.30101131 -5.552393 -6.0106007 -5.18386675\n", - " -5.76186833 -5.03022099 -7.00161456 -7.10241888 -5.1009002 -5.67414913\n", - " -6.0686331 -5.22456432 -5.92966223 -6.82536889 -6.79115964 -6.21904862\n", - " -6.39872944 -5.81060689 -6.29900161 -6.35885582]\n", - "******\n", - "Last Generation Fitness: [ -4.63635012 -5.94568829 -5.02890364 -5.75675701 -5.03990422\n", - " -5.53263225 -5.75086857 -7.08594759 -6.53673081 -5.12413241\n", - " -5.33927476 -7.59404631 -6.74638842 -7.51897039 -5.62759861\n", - " -5.70132605 -7.84376101 -5.24913444 -6.34849364 -7.83794341\n", - " -5.89653528 -5.1872644 -5.41592023 -8.15066936 -7.34193773\n", - " -5.728012 -7.34118382 -6.68359314 -7.69873116 -5.60870212\n", - " -5.81153152 -5.76543257 -5.84102886 -6.74683815 -5.61416984\n", - " -6.53311418 -6.51201551 -7.67550626 -5.42901749 -5.69834314\n", - " -5.68861589 -5.61628673 -7.84555312 -5.43976801 -6.93479624\n", - " -6.73022738 -5.96882402 -6.31532483 -6.67279081 -6.12511578\n", - " -6.33304029 -6.5039393 -5.27130018 -4.99804754 -5.79514774\n", - " -8.02691467 -5.34182942 -5.79281614 -6.35051478 -7.75842081\n", - " -5.44641635 -5.59448951 -6.3384684 -6.16411032 -7.35122214\n", - " -5.40099937 -5.62967273 -6.70972553 -6.89554501 -5.64507957\n", - " -5.71776106 -5.46659955 -5.22384954 -7.23828796 -6.84181146\n", - " -7.76380802 -6.63353651 -7.69905728 -5.05295177 -5.91557379\n", - " -5.01763725 -5.85751553 -9.75438105 -5.88573787 -6.23824709\n", - " -6.31158184 -5.41276456 -6.8990001 -6.56354732 -5.46215158\n", - " -6.22040843 -6.07453837 -7.39868763 -6.2391308 -6.93704487\n", - " -10.0536407 -6.62521191 -6.47651418 -5.67158031 -6.70496403]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -5.27617319 -6.15168968 -6.60525201 -5.03532029 -6.66235699\n", - " -5.40362206 -5.97215582 -5.42913486 -7.41253545 -7.06302328 -7.52880146\n", - " -6.42061911 -5.01000839 -7.21570669 -6.90429419 -6.98650665 -6.65840275\n", - " -6.24994336 -5.17565555 -6.8966194 -7.11903957 -5.16259018 -5.36322787\n", - " -6.52790645 -5.85450049 -5.72441792 -5.5441649 -6.09335475 -6.18633207\n", - " -5.81303978 -5.57993996 -5.38830621 -5.94672774 -6.16046535 -5.20149649\n", - " -6.52389186 -7.24156518 -6.5475018 -7.94892018 -6.04742432 -6.91377763\n", - " -5.27490389 -7.15613893 -5.97520286 -7.09608668 -6.1544558 -5.91789006\n", - " -5.55450475 -6.45826159 -7.18673175 -5.47596469 -6.59048102 -5.86991923\n", - " -8.27035735 -7.5355859 -6.3634463 -5.59561841 -7.21215465 -6.1806989\n", - " -5.04296254 -7.3563449 -7.21390111 -6.38434812 -5.98029596 -6.05758931\n", - " -5.04758055 -5.7406774 -4.98155446 -6.28541477 -5.35704044 -7.42075326\n", - " -6.38450441 -7.88001511 -5.5699894 -5.68197251 -5.75699317 -6.61592568\n", - " -6.99140674 -6.05912314 -5.5386913 -5.87479685 -7.21503211 -6.44003127\n", - " -6.26175613 -5.09443039 -6.29830643 -6.13080351 -6.02721464 -7.73608279\n", - " -5.50111831 -5.8731626 -7.11411599 -5.64512042 -5.69230532 -7.59161899\n", - " -5.2235209 -5.89263018 -5.98468087 -6.10515772]\n", - "******\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Last Generation Fitness: [ -4.63635012 -5.49897191 -5.76818729 -5.62841832 -5.82432343\n", - " -6.49382523 -6.72342518 -6.18973043 -5.64758981 -5.47211173\n", - " -7.25529707 -5.43455271 -7.04548677 -6.80980079 -5.16922042\n", - " -6.4146482 -5.60904212 -5.36593621 -6.50264083 -6.17233934\n", - " -5.9156511 -6.12109261 -5.4149888 -5.99992682 -5.59076702\n", - " -5.63895294 -5.71532304 -8.45619178 -6.08736809 -5.59028557\n", - " -6.94175917 -5.8800583 -6.27048981 -9.02491513 -7.60144535\n", - " -5.50552855 -5.27662215 -6.79270679 -5.79056661 -7.48022461\n", - " -6.41614731 -5.48262584 -7.10736557 -5.94127278 -6.58563969\n", - " -6.80949573 -5.70297159 -6.57746727 -6.34732412 -6.64454972\n", - " -6.31655385 -5.37880152 -5.55903616 -8.73887014 -5.77271314\n", - " -7.55347652 -5.53824501 -6.49816014 -5.60865293 -6.4172261\n", - " -7.29934275 -6.2649904 -4.87379622 -5.73939821 -6.66092589\n", - " -5.96981083 -6.12384001 -5.02457214 -5.33213392 -6.39335649\n", - " -5.44948617 -8.0077567 -5.18388234 -6.23347317 -6.611514\n", - " -7.03597605 -11.55374514 -6.19654386 -5.77246555 -5.51455343\n", - " -7.21486322 -7.14410044 -5.41088275 -6.14739436 -6.3353809\n", - " -7.58424669 -5.5914037 -7.05170732 -7.41049034 -5.57264336\n", - " -6.51804483 -6.18539295 -5.94321003 -6.31072067 -6.02116382\n", - " -5.7920466 -5.52594312 -7.60598224 -5.38400255 -7.4703326 ]\n", - "******\n", - "Last Generation Fitness: [ -4.63635012 -5.79024597 -7.17158913 -6.52311309 -6.71237381\n", - " -5.33263597 -5.08903658 -6.67103386 -5.94983284 -6.57316712\n", - " -6.34959491 -5.91801164 -7.37973781 -6.05246435 -6.35870024\n", - " -5.04013262 -6.77520607 -6.63653208 -8.29448972 -6.17436185\n", - " -8.76457816 -5.43332369 -5.64541995 -5.52040658 -6.71719047\n", - " -5.46329348 -7.11630047 -6.82335056 -9.32067789 -5.32471913\n", - " -7.05767606 -6.31462377 -5.55305831 -6.84971511 -5.45170835\n", - " -5.38635028 -4.90672717 -5.90910536 -5.56585841 -5.81433844\n", - " -5.43398812 -6.85043257 -6.12181197 -7.46541419 -7.27753304\n", - " -6.41690003 -6.74428994 -5.46260309 -6.04922021 -6.86028861\n", - " -5.50289618 -5.76249421 -5.67246687 -5.25324841 -5.47336488\n", - " -5.51490653 -5.40664455 -10.08420941 -6.25285391 -5.92906984\n", - " -5.90264811 -5.87410097 -5.91308942 -6.10214677 -6.5542036\n", - " -6.21661206 -5.79835073 -6.36114467 -6.08799305 -5.63132341\n", - " -5.44494265 -5.61672797 -9.55074672 -6.59578821 -9.04276495\n", - " -5.70263553 -7.15232133 -5.29023552 -5.21901858 -6.36061245\n", - " -5.37913266 -6.46599138 -6.64219586 -5.64671712 -6.21532912\n", - " -5.69996559 -7.04219276 -5.69867979 -6.96289084 -5.67079269\n", - " -6.59671687 -6.83803321 -7.22847707 -6.16870315 -6.90282989\n", - " -8.16711856 -5.63080485 -5.63270691 -7.80998493 -6.14767987]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -5.76147107 -6.76726855 -5.67475944 -7.73097335 -5.82462336\n", - " -6.36971385 -5.77510315 -5.94161336 -7.37353394 -6.84277986 -6.05939478\n", - " -6.13097088 -7.06067358 -6.34548235 -5.62595695 -5.42682913 -6.84230094\n", - " -5.79886554 -6.29947435 -6.70670471 -5.8865718 -6.61146245 -5.98149107\n", - " -6.67007073 -6.64943288 -6.57276808 -5.86553259 -7.90544017 -5.68057914\n", - " -6.54150293 -5.75071807 -5.8761497 -5.98550602 -5.79606082 -6.63360059\n", - " -4.93362924 -6.43661642 -6.85727339 -6.02627888 -6.03115968 -6.9263498\n", - " -5.92008069 -5.78094832 -6.20501382 -6.2120639 -5.93313034 -7.5949476\n", - " -5.67778659 -7.99442996 -5.11326928 -5.14457307 -5.25469074 -6.92235914\n", - " -5.14548411 -5.30637891 -5.70311416 -6.45706068 -6.90802162 -7.05354274\n", - " -5.27187287 -6.42364254 -5.70881175 -8.16923169 -5.44707742 -6.9270111\n", - " -7.41249036 -5.61987561 -6.04680742 -5.6454097 -5.55507807 -5.69039503\n", - " -5.3903192 -5.88307685 -5.78557533 -5.9976827 -6.99777456 -5.76661174\n", - " -5.40598556 -5.55684434 -5.97118506 -7.13235016 -7.74927139 -5.09354447\n", - " -6.31973842 -5.50243923 -5.94844267 -5.08727375 -6.2847478 -8.14733858\n", - " -6.48161802 -6.33665542 -5.70712058 -6.64873292 -6.89282059 -6.85056404\n", - " -6.52737442 -7.16754778 -7.52251048 -8.05133546]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -6.81202326 -5.55378896 -6.84733619 -5.71776476 -5.36761381\n", - " -6.24915743 -5.56313869 -5.48781529 -5.41168864 -5.65520302 -5.92259095\n", - " -6.14841901 -5.18783857 -5.43321354 -5.78123272 -8.00602196 -8.78807782\n", - " -7.93680483 -7.15319425 -6.87023697 -5.7900247 -8.73998148 -5.8458004\n", - " -6.41159289 -6.88425454 -5.56440779 -6.50766814 -5.98922616 -5.30851876\n", - " -6.82220326 -7.42377551 -5.386278 -5.29896429 -7.47042117 -7.46900295\n", - " -7.28110694 -5.60309852 -5.43709421 -8.41275397 -6.06372782 -7.40166138\n", - " -8.50204614 -6.49967769 -6.50924307 -6.16948737 -6.46695395 -5.40971951\n", - " -6.36226835 -5.57670751 -5.13592967 -6.1563549 -8.89005591 -6.18464034\n", - " -7.00016981 -7.08013107 -5.201626 -4.74955383 -6.88444798 -6.65113446\n", - " -5.35587948 -6.49583151 -5.50614777 -5.24003524 -5.25239662 -7.54389163\n", - " -9.33692569 -5.87480675 -5.6756378 -7.66433528 -5.54871123 -5.71782562\n", - " -5.58615596 -9.01214673 -9.44310868 -5.89116836 -5.9482974 -6.5316037\n", - " -5.77373372 -6.71737942 -5.73781294 -6.40415602 -5.667206 -6.88034518\n", - " -6.86764382 -6.07213179 -7.42805222 -4.97838513 -5.61828682 -6.51503764\n", - " -5.86285848 -9.00989841 -6.63614051 -5.04576737 -5.42195561 -5.38635028\n", - " -6.74010262 -6.40996186 -8.39488365 -5.59252581]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -4.78224978 -6.48203289 -5.19624572 -6.03030513 -5.8441747\n", - " -6.2655678 -6.38845995 -5.09781122 -7.55872003 -6.09698791 -7.81174323\n", - " -6.12377836 -6.77588845 -9.65107093 -5.4923102 -6.12094429 -6.8594281\n", - " -9.79900402 -6.36137473 -5.81820707 -5.93012608 -7.40139419 -9.38239786\n", - " -7.30076746 -7.97492498 -7.28990464 -6.90209155 -5.9507009 -6.48974374\n", - " -5.84216711 -5.32732576 -5.53653955 -6.26318858 -5.55620411 -5.97689823\n", - " -5.43749609 -5.70513843 -5.97270093 -5.64700581 -7.4275595 -7.32315657\n", - " -6.6808877 -5.95201147 -7.85566336 -6.6252974 -5.8621411 -5.51198066\n", - " -6.66608391 -6.64873053 -5.82921024 -5.65804331 -6.54230098 -7.3752731\n", - " -5.16537027 -6.65402413 -6.27787425 -5.44674649 -5.23887835 -5.95099418\n", - " -6.32809485 -6.40403318 -5.39026601 -6.23567913 -6.3832512 -6.99503738\n", - " -5.72421618 -7.03142026 -7.39737593 -6.02969816 -5.93515738 -5.93718891\n", - " -6.03060108 -5.77417378 -6.2069104 -6.94327331 -6.9770993 -4.91122756\n", - " -5.76858761 -5.36710905 -6.09314898 -5.60189263 -6.22490847 -5.97851861\n", - " -7.08856676 -5.17671551 -6.05880889 -5.90429567 -6.90388058 -7.46206531\n", - " -6.59442694 -6.88706984 -8.17775796 -5.87379797 -6.49180965 -5.70311009\n", - " -7.10933009 -5.94684457 -7.82796318 -6.39480722]\n", - "******\n", - "Last Generation Fitness: [ -4.63635012 -6.48560481 -5.78767598 -5.24236315 -6.46258211\n", - " -7.17243373 -5.22440497 -6.61978986 -6.24096587 -6.19009878\n", - " -6.60901753 -6.45620924 -7.76651234 -6.6377218 -5.5499164\n", - " -10.83076431 -6.33947031 -6.80062978 -6.47047285 -5.13856132\n", - " -7.32029135 -7.49518042 -6.35833744 -6.23804869 -5.65171378\n", - " -7.1883234 -6.09429656 -10.85958391 -6.46511628 -6.04460484\n", - " -8.16760083 -5.6319586 -6.52195031 -6.99112209 -5.6205089\n", - " -6.94621145 -5.45407538 -6.42073377 -6.24831366 -5.80059332\n", - " -5.29136996 -5.61101424 -5.98292184 -5.5688269 -6.80365861\n", - " -7.31856741 -9.24392865 -5.65905674 -6.70205425 -6.16631778\n", - " -7.05231685 -5.28720544 -5.31793986 -5.1323761 -4.86960886\n", - " -5.75060221 -6.96306981 -5.27626119 -5.92456418 -5.15512228\n", - " -5.66615197 -5.34530527 -5.678612 -5.48639332 -5.44230857\n", - " -6.84688051 -6.02645459 -6.48910991 -6.16285481 -5.04113254\n", - " -6.20988848 -5.69904499 -9.02108789 -5.93833838 -5.28560995\n", - " -6.80559658 -7.13301848 -5.93206751 -5.39400237 -6.14755063\n", - " -8.44688502 -7.30918455 -5.75313949 -5.70675512 -6.68599168\n", - " -6.14273957 -5.50167771 -6.69299417 -6.62053879 -6.21246497\n", - " -7.51159158 -6.11444689 -7.10461452 -6.27543619 -7.98673103\n", - " -5.29066299 -7.38084939 -7.0494646 -5.99497931 -7.04797899]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -6.4751041 -5.88562994 -5.65201681 -7.04660601 -4.7582514\n", - " -5.6593438 -8.14484869 -7.00724814 -6.67990281 -5.52269905 -7.80279002\n", - " -8.64295102 -6.60947091 -5.40737725 -5.60246686 -6.33133708 -5.87056396\n", - " -6.69986014 -8.24114727 -5.72369493 -7.33527626 -7.70249587 -5.76204893\n", - " -6.15946072 -5.81848848 -5.80040666 -6.28964413 -7.54627742 -6.78262972\n", - " -6.47276847 -5.45451733 -5.32652133 -5.23712415 -6.36666787 -5.43444062\n", - " -6.49852341 -6.39094745 -7.27636129 -6.14203279 -6.23178968 -5.81939515\n", - " -6.74727863 -7.43233562 -6.1642995 -5.50833693 -6.32995016 -5.64012357\n", - " -6.34615253 -5.39977401 -7.27203279 -5.14698588 -7.81714411 -5.80084024\n", - " -6.02965037 -6.97760046 -5.04317424 -5.86442343 -5.59111294 -5.33958883\n", - " -7.18528495 -6.18272408 -6.70488675 -5.90930178 -7.34641025 -6.32460817\n", - " -6.65990427 -7.13246855 -5.94245057 -5.65132042 -5.95352467 -6.20016877\n", - " -6.21489277 -6.271881 -6.46729237 -5.11572531 -6.23410512 -5.57739653\n", - " -6.07465303 -5.89800234 -5.54070102 -6.28489161 -7.2271501 -6.9836176\n", - " -5.6289328 -6.32852695 -5.84720185 -5.86967008 -5.86795978 -6.26285905\n", - " -7.71846625 -6.78213978 -6.56357644 -5.2327655 -6.11675412 -6.16748993\n", - " -6.18893461 -5.57607351 -7.80968791 -5.56090205]\n", - "******\n", - "Last Generation Fitness: [ -4.63635012 -5.44528267 -5.38724465 -5.85805815 -7.07729481\n", - " -5.18073839 -5.42267309 -5.77046553 -6.64467183 -5.77963433\n", - " -7.61770434 -6.04980444 -6.93707288 -5.12458207 -4.98961521\n", - " -5.05507351 -11.23376216 -7.20327129 -7.0851378 -5.09330926\n", - " -8.62519788 -5.53260627 -5.85389497 -5.54248615 -6.04606546\n", - " -9.19275729 -6.55846957 -6.1206665 -5.67441579 -5.63650343\n", - " -6.15710538 -6.00071447 -7.49668451 -5.87772749 -5.6087961\n", - " -6.69260953 -5.20683258 -7.36046117 -5.9373499 -8.26172506\n", - " -5.20683495 -5.93909121 -6.27000777 -7.80561511 -6.50556682\n", - " -8.1007724 -7.11192356 -7.95607367 -6.97145038 -5.83462582\n", - " -7.33627617 -6.36152135 -4.89906633 -6.37000343 -5.81836511\n", - " -6.05854544 -8.18185005 -5.96670907 -8.22518597 -5.55925134\n", - " -6.03343409 -6.22790142 -6.10856953 -5.08706879 -5.8336705\n", - " -5.15306616 -5.63947206 -5.5630304 -5.15425841 -5.55389269\n", - " -6.28954499 -7.33657805 -5.85970882 -6.34398283 -5.45328304\n", - " -7.01282476 -6.74303956 -6.1909136 -6.74915219 -6.5901359\n", - " -6.10391684 -6.83534189 -5.75811756 -7.31030042 -5.32027055\n", - " -5.69449001 -7.32853863 -7.43014627 -6.82450895 -5.54312245\n", - " -5.93343716 -6.07836868 -7.03395284 -5.53358818 -5.59117875\n", - " -6.94491287 -7.39446248 -9.70544818 -5.66185444 -6.33294256]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -6.66497194 -5.12238946 -5.68274956 -6.35753242 -5.9765721\n", - " -6.74227003 -5.98224369 -5.09299814 -5.61971615 -5.37723892 -6.69219988\n", - " -5.96923163 -6.66020087 -5.22077912 -4.66184386 -6.54559504 -6.85634279\n", - " -5.63757673 -7.10997505 -5.61197016 -9.99787542 -5.70094245 -8.11083999\n", - " -5.35418468 -7.90873655 -6.43180037 -6.96840537 -6.05739136 -6.61648696\n", - " -6.34537942 -5.94531832 -5.14995845 -5.07793811 -5.63577752 -6.02049473\n", - " -5.6777323 -6.299839 -5.74682257 -5.96571702 -8.12834711 -5.78599238\n", - " -5.80271818 -6.00199512 -5.61886949 -6.17858844 -5.74288811 -6.28691529\n", - " -6.57889884 -5.99786439 -6.22931452 -4.73333433 -5.87772344 -6.15757203\n", - " -6.08817845 -5.44059418 -6.62040717 -7.64838073 -5.25996302 -6.02878775\n", - " -7.34932004 -5.23835416 -6.70931147 -5.71299247 -5.95712471 -6.94028497\n", - " -5.38034372 -5.33823845 -9.12014966 -7.33461161 -6.11588007 -5.88139013\n", - " -5.54566501 -6.05733293 -6.4732178 -6.44407783 -5.60872721 -6.5629191\n", - " -5.62711078 -6.26237626 -6.51929535 -6.7075607 -7.11256758 -7.75301504\n", - " -7.37754813 -7.41154452 -8.71491507 -5.93563818 -6.35027646 -7.51971213\n", - " -5.75062587 -5.55156087 -5.475913 -5.49064963 -5.68946951 -6.42476803\n", - " -5.86666538 -5.98267731 -7.2752881 -5.45815062]\n", - "******\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Last Generation Fitness: [-4.63635012 -4.89045745 -5.45091828 -6.63906911 -5.63742901 -5.72143194\n", - " -9.06774414 -5.89792643 -5.70595756 -5.49832222 -6.98662903 -6.40989628\n", - " -7.17984876 -5.2341103 -6.58186852 -6.69513489 -6.26930052 -5.16586688\n", - " -5.91682572 -6.79390186 -5.66661462 -5.37887505 -5.79733068 -7.79746984\n", - " -6.02622647 -5.77103742 -6.4082996 -6.7401607 -5.89660327 -4.67987065\n", - " -5.49729287 -7.33628047 -6.19267407 -5.74973946 -6.95009208 -6.03402045\n", - " -7.55943199 -6.51360819 -7.51711811 -5.9901561 -5.57899228 -6.15100254\n", - " -7.01085423 -6.58758303 -5.79075415 -5.16424626 -5.96158277 -5.66668814\n", - " -5.95991023 -6.82559711 -5.99238625 -4.81779305 -5.83614662 -6.20968945\n", - " -5.23790107 -5.25681513 -5.72285167 -6.34104497 -6.38287466 -5.28410055\n", - " -5.65022025 -5.51523356 -7.16421198 -6.7199709 -5.94132449 -6.17432178\n", - " -5.9821409 -5.41913615 -5.44615351 -5.23277912 -5.8748051 -6.55263912\n", - " -5.34011311 -5.7195252 -5.48038756 -5.67634767 -5.86571205 -5.48810766\n", - " -4.99555928 -5.80529051 -6.06321486 -6.68180654 -5.58829825 -6.17392231\n", - " -7.5511319 -6.32576849 -6.96164537 -5.14029298 -6.86224183 -7.40354601\n", - " -5.8732893 -8.6988005 -7.14737255 -5.22370748 -7.16420677 -8.82578663\n", - " -6.83433777 -6.91624557 -6.16076824 -5.98371479]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -6.01467583 -5.28271417 -5.52741873 -6.03141954 -5.3729614\n", - " -6.64112591 -5.27480511 -5.52980123 -5.40811952 -6.17902215 -5.89311226\n", - " -6.04055929 -7.57284472 -6.85449782 -5.498984 -5.88186352 -5.31988612\n", - " -5.00988037 -7.66270579 -5.92734355 -6.04492239 -6.52468101 -6.88275732\n", - " -7.33784483 -6.2464017 -8.45060662 -5.46570718 -5.79540329 -5.81158323\n", - " -6.69242761 -7.38613437 -5.6727764 -5.91710139 -6.50118009 -5.63208932\n", - " -6.74964709 -5.25610206 -5.96439005 -7.71402187 -6.06760132 -6.05856113\n", - " -5.46498287 -6.45573851 -5.93965455 -8.06336964 -5.94183943 -6.2118146\n", - " -7.18873854 -8.17402718 -5.89708409 -7.34935562 -4.88952201 -6.41110554\n", - " -7.16136697 -6.56053099 -5.63266242 -6.26144362 -5.79694868 -5.13392337\n", - " -5.76690325 -6.96153822 -6.16090789 -5.28995731 -6.60935752 -6.41444294\n", - " -5.35728926 -5.99194359 -6.06827386 -8.00988501 -5.57185248 -4.93267067\n", - " -6.46768281 -6.0394082 -7.22384412 -6.54513986 -5.19380797 -5.18495664\n", - " -7.46221445 -6.11266764 -6.04834059 -7.48639856 -5.6368631 -6.35867585\n", - " -5.77440428 -6.66845082 -5.60885694 -5.4509417 -6.11938872 -6.42206242\n", - " -6.96018793 -9.51644697 -5.52742345 -6.90003901 -5.69431911 -7.21489946\n", - " -6.26300131 -8.7292641 -7.27977784 -6.24085901]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -4.7086455 -7.39630609 -5.31371325 -4.87112827 -7.29358175\n", - " -5.9076831 -7.3119428 -6.07271339 -5.85527782 -6.05734911 -5.80975745\n", - " -6.81076375 -8.09485837 -5.51649958 -6.14392035 -6.15585628 -7.97385751\n", - " -6.67728217 -5.66893297 -5.64607732 -5.19423807 -7.49924963 -5.0439442\n", - " -7.83561017 -5.97077103 -6.1040273 -6.54363396 -6.91219309 -5.42560495\n", - " -5.30517765 -5.52652623 -5.66447421 -7.89920929 -7.23980854 -6.57377554\n", - " -7.36590344 -7.18529959 -7.07391648 -7.2079021 -7.28947831 -6.42515091\n", - " -6.32357279 -6.05061264 -5.8704574 -6.27238582 -6.36362199 -6.93672488\n", - " -6.48584306 -5.18840259 -5.39792834 -5.39308247 -6.65097867 -5.11560737\n", - " -4.95346979 -5.36902193 -7.33591305 -5.73697702 -7.07611751 -7.90351656\n", - " -5.64642785 -6.69754622 -6.25743751 -5.62228097 -7.13393042 -6.72560825\n", - " -5.41553989 -5.3058175 -6.50973161 -6.72260229 -6.06338547 -7.72195238\n", - " -5.59756472 -5.38675838 -5.28331751 -6.44264504 -6.41536861 -6.229496\n", - " -6.22652328 -5.86377326 -7.14435533 -5.51038479 -8.1951566 -6.00849482\n", - " -5.10433596 -5.33198263 -7.0609475 -6.1985502 -6.61380241 -6.10448688\n", - " -6.05109505 -6.74145937 -5.88715332 -6.52052069 -5.62505698 -6.4864117\n", - " -6.45267895 -5.9846642 -6.45311604 -5.8314548 ]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -6.28928975 -6.14228864 -7.51360928 -5.69336555 -5.7426869\n", - " -5.39750172 -7.11616346 -9.08088621 -5.27698578 -5.18303831 -6.7237539\n", - " -8.92720759 -5.67055287 -6.41145299 -6.14860995 -5.66508472 -6.72907631\n", - " -5.69182543 -6.09862606 -7.30475462 -5.75751505 -7.14753894 -5.86498269\n", - " -7.67540278 -7.29797405 -5.14847378 -6.03657751 -6.74689732 -5.59936782\n", - " -6.23274298 -6.41655096 -5.04313811 -5.65672118 -6.1859405 -5.43506835\n", - " -5.6878506 -6.08892532 -6.35971965 -6.16462198 -7.07319035 -5.54062725\n", - " -7.48095133 -5.78561458 -9.86305969 -7.1770874 -8.7292641 -5.96435696\n", - " -5.99866517 -7.25771821 -5.94060968 -8.40095833 -5.51447576 -7.52190111\n", - " -7.63442303 -7.05008848 -5.4853192 -5.28279377 -5.39099168 -5.5872669\n", - " -7.81420714 -8.2834147 -6.47541288 -7.48965372 -5.09292355 -7.5300424\n", - " -7.11912881 -6.25451053 -5.86544158 -6.81265182 -5.55574946 -7.20496478\n", - " -6.50451747 -5.72522578 -6.83249245 -5.06402318 -5.68976219 -5.44225129\n", - " -5.95715159 -5.73670277 -6.45850103 -5.33894263 -7.59228146 -5.91685691\n", - " -5.71995418 -7.05479347 -7.74656949 -7.63590824 -6.67888432 -5.75503811\n", - " -6.16402866 -5.71711061 -6.84485012 -6.79657963 -7.1361275 -6.02844793\n", - " -6.40571377 -5.86630543 -5.32040571 -5.86275631]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -5.38947645 -7.51382255 -5.98247168 -6.40511023 -8.21739796\n", - " -7.01163428 -5.64874259 -5.47442606 -5.07158348 -5.29228557 -5.64798832\n", - " -6.45239932 -5.91768138 -5.75681214 -5.41002288 -9.43635282 -6.67668212\n", - " -4.97738079 -5.40727822 -7.28170954 -6.14720273 -5.10088355 -6.60275908\n", - " -7.19094215 -5.75258042 -5.66966684 -5.39644156 -6.89066932 -5.17484603\n", - " -8.40214314 -5.00328276 -6.71088659 -7.5272039 -5.19546176 -6.18259061\n", - " -5.70109925 -9.16014995 -6.33919856 -6.19051304 -6.7392963 -5.68273271\n", - " -6.01745224 -6.67261362 -6.64721737 -7.05280039 -7.22354301 -5.50834656\n", - " -5.83224597 -5.89846927 -6.51763651 -6.39235563 -5.39952378 -5.81732752\n", - " -6.84690303 -5.18499833 -5.53177944 -5.31350024 -5.41045732 -6.79788542\n", - " -6.19711604 -6.07738164 -5.60565984 -7.20377107 -5.37876978 -5.49162\n", - " -6.96916019 -6.39003234 -5.06957929 -6.16602161 -5.56818152 -6.46381559\n", - " -5.45030268 -5.6879726 -5.95413216 -6.90120114 -7.41864087 -6.05938713\n", - " -5.73360742 -5.68177628 -7.38918518 -5.3697718 -5.73602757 -5.3653128\n", - " -7.78399621 -7.30475462 -9.43361964 -5.77927821 -5.42358533 -7.47553097\n", - " -6.62895131 -6.58233758 -6.06197269 -8.14062752 -6.29269043 -5.72555772\n", - " -5.93394072 -6.06161959 -6.403824 -6.66808794]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -5.42949567 -5.05382413 -5.05778617 -5.66930494 -6.87124684\n", - " -5.52007758 -8.41202615 -7.23693443 -9.99021171 -6.20664428 -5.05946994\n", - " -5.57541227 -5.15976987 -6.25713654 -5.7949006 -5.2521747 -5.78269654\n", - " -5.6277571 -9.11118468 -9.01891656 -5.88125642 -5.5576296 -6.00170694\n", - " -5.08529238 -6.06152129 -5.87314505 -6.13294034 -6.14056628 -6.36746576\n", - " -6.85766608 -6.86322405 -4.83678284 -6.15571998 -5.9491543 -6.20110572\n", - " -5.8183645 -6.87162736 -5.20529673 -5.30792432 -5.76518623 -8.15680281\n", - " -6.91175251 -6.59796156 -7.83355431 -5.96970874 -5.87792496 -5.92789582\n", - " -5.50200933 -6.91777924 -7.36363406 -5.34278504 -6.30770483 -5.9817711\n", - " -7.25295346 -6.99247831 -5.16452575 -6.3396998 -5.14747822 -5.16215091\n", - " -6.84705988 -8.2361738 -8.5194005 -6.35775112 -6.09984707 -6.88220483\n", - " -5.91281445 -5.35524388 -6.77153769 -5.77621842 -5.15221524 -6.34443511\n", - " -6.30137619 -6.45761608 -5.30165709 -5.58663562 -5.2220366 -6.37132052\n", - " -6.75891275 -6.42457383 -5.19965787 -9.11701351 -7.11726445 -6.10482401\n", - " -6.3616323 -5.50517285 -6.85549109 -6.54948106 -5.76489747 -6.35558087\n", - " -5.99304679 -6.28975734 -5.58437024 -6.6473187 -4.88446622 -6.26753601\n", - " -9.58118305 -6.61655654 -7.58794524 -6.52854017]\n", - "******\n", - "Last Generation Fitness: [ -4.63635012 -6.68974546 -5.34376479 -5.40128578 -6.46316309\n", - " -5.49841855 -5.25173023 -7.02677451 -5.04207544 -6.3965832\n", - " -6.46384766 -8.84422974 -5.47592997 -7.00752076 -5.45522811\n", - " -6.41272713 -6.96475867 -5.7970319 -5.66740799 -5.21775152\n", - " -6.9404279 -5.80926172 -6.2865445 -7.60159944 -5.37665001\n", - " -7.04059377 -5.99453651 -7.29330258 -5.8154227 -6.41002061\n", - " -7.63082359 -5.62416415 -6.4786433 -6.75531654 -10.06976632\n", - " -6.86701228 -6.5255985 -5.50764207 -5.99360787 -6.97806015\n", - " -5.35520119 -5.44738841 -6.26908326 -6.74079034 -6.12404966\n", - " -6.37416436 -6.25836886 -6.10391684 -5.79796516 -6.33063519\n", - " -6.04671973 -5.55081234 -5.50616615 -7.27423207 -5.53451156\n", - " -4.99749696 -6.15497971 -6.26191846 -5.68230059 -5.27765325\n", - " -6.4696024 -7.94056755 -6.93951788 -6.04680354 -6.0980593\n", - " -5.38084488 -7.1892486 -6.12240804 -6.14491161 -7.39908219\n", - " -5.2521053 -6.61509439 -6.16999103 -6.61186956 -6.89216527\n", - " -6.31817031 -7.68039909 -5.67150335 -6.23268151 -5.33570803\n", - " -5.54687898 -5.33528773 -7.1720818 -5.55860292 -5.54674216\n", - " -6.31154746 -7.41620952 -6.18348592 -6.88941356 -6.12196764\n", - " -6.95877553 -7.13865881 -6.55158326 -5.787501 -5.84128222\n", - " -7.19017683 -7.00034729 -5.52009933 -5.56509077 -5.5003708 ]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -5.16288969 -4.93266351 -5.16686612 -7.36068976 -5.3726103\n", - " -5.30236753 -5.43544975 -6.06255699 -5.47403719 -8.34452828 -5.96723829\n", - " -6.03859168 -5.22883695 -4.98572759 -5.80148731 -5.90250784 -5.62752375\n", - " -5.26498526 -5.71649191 -5.59600884 -7.26087436 -6.30198773 -6.1527555\n", - " -5.55283564 -5.9579528 -5.38674967 -6.75653784 -5.71658092 -7.00068776\n", - " -5.44484945 -8.08983547 -6.87360864 -5.73150548 -9.06061617 -5.15579052\n", - " -5.88619087 -6.63683272 -5.32521169 -5.46703575 -7.31915633 -5.30965806\n", - " -6.37480681 -5.80244264 -5.90079544 -5.47107587 -7.85782494 -7.07886364\n", - " -7.10053569 -6.61039298 -7.03232569 -5.98558106 -7.06493143 -6.07517836\n", - " -6.51110711 -5.53748588 -6.60979244 -6.04465917 -7.48077501 -5.41700101\n", - " -5.464401 -6.3792608 -6.41346204 -6.33964496 -5.64154588 -6.23373156\n", - " -6.40375947 -7.50221514 -5.30364207 -6.85122817 -6.31481829 -5.82798535\n", - " -7.03408884 -4.98423764 -5.43058161 -5.67859825 -5.94220807 -5.17232831\n", - " -5.83227778 -6.66314131 -6.91666788 -5.7690127 -7.57089888 -5.29748524\n", - " -5.18653719 -5.10501012 -6.41799703 -5.82899175 -5.49644885 -5.51085837\n", - " -6.21733304 -5.80301471 -5.24484601 -5.45137998 -6.57588666 -5.67248555\n", - " -8.55740505 -6.20350084 -6.97399411 -5.52177515]\n", - "******\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Last Generation Fitness: [ -4.63635012 -5.43352803 -4.94852832 -5.45323327 -6.51352435\n", - " -5.43959507 -5.30015588 -6.75364587 -4.78738418 -5.82638571\n", - " -6.52702401 -6.56916706 -5.54865492 -5.7435359 -6.29050665\n", - " -5.78706219 -5.46606973 -7.48841664 -5.34905089 -6.20178823\n", - " -5.61794627 -7.26828717 -5.62831688 -6.6807105 -4.97431617\n", - " -5.47650219 -5.95877484 -5.96329374 -5.63742732 -9.73341864\n", - " -5.39180578 -5.74891558 -5.85513095 -5.53915458 -7.64566585\n", - " -6.75344829 -5.14420568 -8.79810423 -7.43763703 -5.555532\n", - " -5.70186588 -6.30911021 -6.08091097 -5.40679273 -6.23217212\n", - " -5.76183357 -6.00630292 -5.45021958 -6.36647958 -8.22588879\n", - " -7.19482947 -4.92125231 -10.11049707 -5.60724199 -6.11787988\n", - " -6.13398677 -7.88799601 -7.21419328 -5.38729193 -5.59106041\n", - " -5.66429708 -6.95225264 -5.64272847 -6.07150122 -5.30613468\n", - " -6.43059664 -7.9636301 -5.6012128 -5.3001189 -6.60345174\n", - " -6.31193266 -5.21925414 -6.3300101 -10.89812075 -6.3889249\n", - " -6.52920096 -7.29955044 -5.44469389 -6.65214836 -5.92315719\n", - " -6.12550005 -6.42520548 -9.45597423 -5.67872902 -5.70972955\n", - " -5.39375011 -5.5773026 -5.09902421 -6.02112693 -7.51288559\n", - " -7.03309329 -7.20173819 -5.97504138 -5.81262422 -5.53750505\n", - " -6.57721772 -5.65153294 -7.92292911 -6.66503999 -7.82434971]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -5.2001785 -7.13472426 -5.4360483 -5.42191225 -7.39587586\n", - " -6.50975893 -7.09973265 -5.94921189 -7.64411964 -5.1460652 -5.41489443\n", - " -6.37551449 -7.27803785 -5.17993287 -7.04069379 -5.74360165 -6.27884701\n", - " -5.63637469 -5.85079746 -5.70612768 -5.8617787 -8.89138621 -5.84970434\n", - " -8.61978615 -8.5847209 -5.5547045 -5.38704786 -5.40143621 -5.78440215\n", - " -5.04901453 -5.59661959 -5.42356149 -5.43292904 -7.36186601 -7.08391064\n", - " -7.91824724 -6.74501188 -7.10640087 -6.01672367 -6.31098891 -6.73681586\n", - " -7.16549404 -5.80047489 -5.75001254 -5.69753341 -5.78906962 -5.1053445\n", - " -5.73943873 -7.62012442 -5.75231094 -6.56187246 -6.28751985 -7.0148305\n", - " -5.39177165 -5.30064815 -5.3583728 -6.36411454 -5.9817016 -5.28263395\n", - " -6.52747518 -7.43269244 -7.76944617 -5.59346853 -8.69563979 -6.05328693\n", - " -5.3916789 -7.42568704 -5.66876122 -7.31550224 -6.09763929 -5.75282574\n", - " -6.32897484 -5.95686656 -5.31807745 -7.34788275 -5.57192798 -5.49730415\n", - " -7.0904244 -6.29151799 -6.64790175 -6.56956573 -5.71090524 -5.16820639\n", - " -5.66208182 -5.47101949 -5.2531985 -5.33491345 -6.03313511 -5.86068171\n", - " -5.93288876 -7.70481171 -5.3341908 -6.49723947 -7.36514293 -6.93087136\n", - " -7.42722749 -9.09392004 -7.94743236 -5.68362299]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -7.59240047 -5.11436037 -5.07461222 -7.74036413 -5.69278928\n", - " -5.1092798 -7.13000895 -6.12230703 -6.13607443 -8.59366427 -6.89369505\n", - " -6.13521509 -5.47870218 -6.32655748 -5.27943869 -6.12213298 -5.75225646\n", - " -7.68248706 -5.28939634 -6.78812136 -6.21610591 -7.5149983 -5.25296851\n", - " -6.8537091 -5.58263177 -5.62845611 -7.91809664 -5.53612281 -6.69497749\n", - " -5.44605591 -6.05151106 -7.39293128 -8.54035165 -6.39395478 -5.6398923\n", - " -5.54001255 -5.89586791 -6.92387326 -5.77130594 -7.67924541 -6.06502714\n", - " -9.23068997 -7.81498894 -7.68626387 -7.06981755 -6.77056056 -5.80319579\n", - " -5.52971437 -7.53668599 -6.73577513 -5.66769149 -5.51635686 -5.54946176\n", - " -6.69023466 -4.80166209 -5.7113385 -5.34324753 -8.26569692 -6.42011332\n", - " -7.0031628 -9.8240127 -6.23251492 -5.47075114 -5.78382813 -5.50739216\n", - " -6.86112662 -5.82307669 -5.76646464 -6.81104225 -6.28610396 -6.00347822\n", - " -7.41200088 -5.0864375 -5.10262661 -6.76687424 -5.34355326 -5.95223025\n", - " -6.93258987 -6.24652626 -6.26514589 -6.34764024 -6.56024409 -5.49377988\n", - " -7.12553751 -5.76068996 -7.04241332 -6.58133434 -6.25118848 -5.16733941\n", - " -5.51252519 -7.18464041 -5.39294591 -6.07692462 -7.81340951 -6.37527586\n", - " -6.39311783 -6.38159493 -5.95552964 -5.28285899]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -5.0874763 -5.5101694 -5.34054625 -5.77048761 -7.40531044\n", - " -5.02842099 -5.5523797 -5.94020729 -5.58222723 -5.87358512 -5.63130733\n", - " -5.93757174 -5.68244784 -6.01590645 -6.76294949 -6.14881492 -6.16876791\n", - " -5.73722641 -6.10608152 -6.81553388 -6.18216001 -7.12185415 -5.43769571\n", - " -6.45788723 -6.93500292 -6.80616812 -5.62741652 -5.15565999 -6.26416709\n", - " -6.65920414 -5.6809909 -5.54647032 -5.52609207 -5.216385 -6.26747908\n", - " -6.14582023 -6.73587244 -5.5384426 -5.84856303 -5.09599706 -5.75113321\n", - " -6.8778031 -6.14432928 -5.98403788 -6.77093196 -5.89379402 -5.95586312\n", - " -5.1218958 -6.12132434 -7.8390231 -6.83248437 -6.5230669 -5.75119222\n", - " -5.37952547 -5.63664562 -6.59104894 -5.1341946 -5.79698181 -5.85444987\n", - " -5.16277238 -5.93182223 -6.79231184 -6.54823113 -5.03307172 -5.16888541\n", - " -6.10269364 -5.47870218 -7.27488717 -7.53851342 -5.44162146 -7.69841572\n", - " -7.0125205 -5.32871904 -5.55946678 -6.90242283 -5.61917287 -6.13883035\n", - " -5.92210078 -6.16804062 -5.9138318 -7.04683061 -5.8592943 -5.53076995\n", - " -7.20022545 -5.61761901 -5.6787723 -6.68352734 -5.84100764 -5.7477096\n", - " -5.78076855 -6.65118076 -5.66939057 -5.64597531 -6.50194128 -5.52946951\n", - " -5.68565903 -5.89306535 -7.12145886 -5.76731001]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -5.91447793 -4.9767818 -6.0798095 -6.58117207 -5.71499813\n", - " -6.09342271 -5.20071377 -5.71403802 -5.49784297 -5.22133242 -7.19245356\n", - " -5.40335592 -7.09361513 -6.34637399 -5.29360184 -7.36713705 -5.53269442\n", - " -7.57943587 -6.83370752 -8.56551379 -6.0032855 -5.64292435 -6.69337797\n", - " -6.66021431 -5.31952218 -6.53658129 -6.10487187 -5.44379056 -6.60758945\n", - " -6.67898932 -6.66886422 -7.17129172 -5.8458656 -5.65778986 -5.74528516\n", - " -5.5468664 -5.33258493 -5.90525258 -5.79073452 -5.46617031 -7.28510986\n", - " -7.27759156 -6.42957245 -5.70394567 -6.25142915 -5.31380076 -6.26987017\n", - " -5.07923098 -5.55472068 -5.85200269 -6.28244118 -6.8811014 -5.22782947\n", - " -6.49916035 -7.37321185 -5.41822085 -5.77774272 -6.25811135 -7.63052183\n", - " -5.69934854 -6.08327696 -4.996687 -6.22103261 -5.60253566 -6.45470962\n", - " -6.6866188 -7.83554722 -5.71192625 -7.46900226 -9.13046741 -5.1209476\n", - " -5.69678603 -5.44371401 -6.70608587 -5.66364032 -6.90968884 -5.3752206\n", - " -5.82905621 -5.86328457 -5.43525041 -5.92615498 -6.14245444 -5.50092958\n", - " -5.39901535 -6.38212475 -6.32712041 -5.92028792 -5.51491242 -5.69780178\n", - " -6.84351394 -5.95600206 -5.47703091 -6.37249156 -5.96709708 -7.11672046\n", - " -5.76762956 -6.38486345 -5.81359298 -5.68443544]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -6.43378981 -4.9767818 -5.61561757 -6.23972504 -7.17458868\n", - " -8.42159966 -5.44165854 -6.30328198 -5.8519188 -5.40624211 -6.16261496\n", - " -7.31883594 -5.46151404 -5.12596647 -5.73367314 -5.65955355 -6.46223874\n", - " -5.90804098 -5.40771829 -5.44620346 -5.93938695 -6.99400214 -5.90485429\n", - " -5.93989949 -5.33611392 -7.40537796 -7.55795087 -5.96516891 -5.71264265\n", - " -5.93253979 -6.95681831 -7.72420587 -7.75741549 -9.0512844 -6.70193458\n", - " -5.72898318 -5.87029005 -5.7175261 -6.09242163 -6.0515515 -6.44525992\n", - " -9.35240908 -6.65177186 -6.47354398 -5.94794214 -6.12444135 -6.88216475\n", - " -5.31517845 -6.5616825 -6.36399376 -5.55745222 -5.59343499 -5.09262078\n", - " -5.72336435 -6.70932575 -7.02505083 -6.80544657 -6.50042226 -4.93989945\n", - " -5.94346139 -6.04009422 -5.40500448 -7.94044294 -5.47655142 -8.93558757\n", - " -6.87030994 -6.65137501 -7.72848563 -7.24461094 -6.564373 -6.00033746\n", - " -8.7141623 -5.25746552 -8.27632196 -5.9205973 -5.52394906 -8.12493196\n", - " -5.65967713 -6.60625025 -8.64110021 -5.75080226 -5.76813196 -5.81007876\n", - " -5.95048778 -8.03794789 -6.33817736 -5.58083804 -7.39770509 -6.94345257\n", - " -6.02236678 -6.20087974 -8.46277058 -6.00392096 -5.58635555 -5.46924993\n", - " -6.20262184 -5.3890025 -5.4524261 -5.09421488]\n", - "******\n", - "Last Generation Fitness: [ -4.63635012 -4.95831751 -4.7392571 -6.36121373 -7.51655697\n", - " -6.99448029 -5.80108785 -7.20928234 -5.3299366 -5.55710145\n", - " -6.32903664 -5.8412479 -5.57796991 -7.37046182 -6.35106284\n", - " -6.50204755 -5.27698662 -4.96798073 -5.7626423 -9.93962533\n", - " -5.23462188 -6.67693252 -5.93468668 -6.36368186 -7.02834502\n", - " -6.20356095 -5.99808317 -6.06403889 -8.86476064 -6.17472559\n", - " -5.41947791 -5.71266333 -6.31788838 -8.53063736 -5.8070316\n", - " -7.15101352 -5.45426934 -6.52713002 -5.63456713 -5.62992961\n", - " -6.18948728 -6.76645552 -6.58643758 -6.35358547 -5.67929935\n", - " -7.73419046 -5.60220405 -7.75752757 -6.22488758 -6.28333891\n", - " -5.71509865 -6.11866303 -6.38907384 -4.98596446 -6.13913441\n", - " -5.18816518 -7.13370038 -6.08475471 -5.39172292 -7.01991115\n", - " -7.94022292 -5.33558036 -6.82336617 -6.15722951 -5.29076468\n", - " -6.14545536 -5.67292022 -5.28137789 -7.30996806 -5.48908885\n", - " -5.87680647 -7.27282504 -6.2393175 -6.2431943 -6.56366761\n", - " -7.00498625 -6.85033828 -6.20287024 -5.44182315 -6.71561907\n", - " -6.40566899 -5.80600499 -7.66253904 -5.93058601 -5.92235175\n", - " -5.73160067 -4.88204737 -7.50415474 -10.11677781 -5.57268224\n", - " -6.02942698 -6.9260054 -5.74406027 -5.33543485 -6.10516947\n", - " -5.40978963 -5.58339246 -7.93465478 -6.96033161 -5.91395234]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -5.93440193 -6.48455254 -4.78122766 -4.80036058 -5.48083492\n", - " -5.12613364 -5.36259101 -5.41295762 -5.8854286 -5.66460555 -5.81256052\n", - " -6.24883509 -6.0244037 -6.29213167 -7.0192631 -5.81938553 -6.57390188\n", - " -6.17757077 -7.23675537 -5.86818998 -5.27673087 -5.41352363 -6.22243007\n", - " -6.18628623 -5.71251126 -6.24096885 -6.20978031 -5.43724203 -5.66885521\n", - " -6.71198596 -5.30730151 -5.68632972 -6.05614257 -5.56720631 -7.27221028\n", - " -6.39809514 -5.78411291 -6.62498133 -5.46710099 -6.43626716 -7.02969145\n", - " -5.33372285 -7.08921043 -6.65683497 -9.95944456 -7.41215295 -8.43509776\n", - " -5.65301364 -5.51573989 -5.75138279 -5.24884689 -6.64625154 -5.28636753\n", - " -5.02003994 -6.47921121 -5.41034019 -5.25413285 -6.58803649 -6.51695162\n", - " -5.55220735 -6.70013789 -5.69720534 -6.08932672 -6.20652644 -7.0225389\n", - " -5.97413541 -6.67864469 -5.87914346 -6.89412094 -6.58753232 -6.61064102\n", - " -7.65239722 -6.19273722 -9.98649433 -7.71086399 -6.89836412 -6.94495902\n", - " -5.66270886 -6.08876163 -5.44871043 -5.75259164 -5.40371754 -6.59293089\n", - " -7.05478502 -5.50010225 -5.97076763 -5.76106772 -6.74206119 -7.81066056\n", - " -6.40889729 -5.46064483 -6.11487548 -6.17817406 -5.87369847 -5.48617568\n", - " -5.54740078 -5.45013968 -6.67265318 -6.06021768]\n", - "******\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Last Generation Fitness: [-4.63635012 -5.99541315 -6.31222809 -5.65131715 -7.40247013 -6.21579774\n", - " -6.64974117 -5.93641108 -4.85189385 -5.67018232 -6.38878073 -5.61782012\n", - " -7.68662672 -5.38657237 -6.30298377 -5.73787411 -6.3576548 -7.4425929\n", - " -5.80341665 -5.05213175 -7.62875057 -5.96529529 -6.27296343 -8.92793927\n", - " -6.06201464 -6.14068099 -5.58709513 -5.7192268 -7.68750702 -5.60604643\n", - " -5.81547105 -6.69948039 -5.68685028 -6.54453397 -5.61743889 -5.39609996\n", - " -4.98161189 -7.35487419 -6.20361574 -6.76473698 -6.25680578 -6.53387569\n", - " -7.44686715 -9.42937286 -6.23525996 -6.5037098 -6.26110938 -5.90076356\n", - " -5.1645722 -6.30489203 -7.68718227 -5.56592367 -5.67896063 -5.28515935\n", - " -5.88662196 -5.94089445 -7.0759163 -5.8071198 -6.4192636 -6.14162645\n", - " -5.34259889 -5.75382035 -5.90830429 -6.42535338 -9.25603649 -5.81342022\n", - " -5.42805484 -5.26802583 -7.73121753 -7.61940039 -5.78270697 -7.39184644\n", - " -6.40138059 -5.10857742 -7.36807818 -4.99653166 -6.5955095 -4.94504728\n", - " -6.57284213 -7.8353428 -6.045446 -5.42270636 -5.7168884 -5.70605624\n", - " -5.28105855 -5.77711043 -5.04771128 -6.21489954 -8.03217039 -6.89228792\n", - " -9.03065774 -5.31166854 -7.63329451 -6.3132578 -5.2987582 -6.38752156\n", - " -7.47416468 -6.53238786 -7.29305605 -7.81686628]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -5.12809459 -5.08819551 -6.03942636 -4.86422021 -5.54992796\n", - " -6.66089699 -6.57390033 -5.24552145 -6.06988837 -5.63109747 -5.02082585\n", - " -5.31455559 -6.69449261 -6.23567794 -5.38811264 -5.97504869 -6.49536358\n", - " -6.43759245 -5.24968937 -5.38614671 -5.80404389 -5.33701637 -5.85944008\n", - " -6.61645365 -5.58749053 -7.15329905 -4.95031815 -5.72606523 -4.93156801\n", - " -5.8724569 -5.91721481 -5.40144545 -6.76932601 -5.72127054 -7.62768862\n", - " -6.11229184 -5.545036 -5.46862908 -6.24050542 -6.94785326 -5.96908542\n", - " -6.25261632 -8.60898527 -6.1884304 -5.98374609 -7.14458097 -6.60202224\n", - " -6.98835099 -6.07722131 -5.65519269 -6.37998331 -5.26319921 -6.0590471\n", - " -4.86450605 -8.65620855 -6.37315026 -8.48659112 -6.71753408 -8.02239727\n", - " -6.86718977 -5.59499794 -7.02823375 -8.1598074 -6.76877179 -5.07953336\n", - " -7.60716857 -5.33215786 -5.70463546 -5.68082609 -5.77759398 -5.8386744\n", - " -5.27862323 -8.57808731 -5.80055281 -5.48305164 -5.4583484 -5.57512734\n", - " -5.34851309 -6.8095349 -7.53038139 -5.41382098 -5.45188065 -6.18445178\n", - " -5.60340537 -6.50818959 -9.12099224 -8.02525192 -7.79586393 -5.22434986\n", - " -6.79326016 -5.90830429 -6.81165433 -5.16242019 -6.37298027 -7.34275788\n", - " -5.68576192 -6.61883288 -6.80450621 -6.89524203]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -7.57685728 -5.98767325 -8.96856891 -5.99517649 -5.0224369\n", - " -5.0996489 -6.24973764 -5.86019774 -5.08308169 -5.40681609 -5.49621771\n", - " -8.5279926 -8.47726211 -6.47466505 -6.89045749 -5.30909845 -6.07871836\n", - " -5.86610379 -5.55816097 -5.49223844 -6.68990213 -5.41961987 -6.53585456\n", - " -5.04286815 -6.91876413 -7.01826999 -6.16750045 -5.40085502 -6.25614395\n", - " -5.60102039 -6.18825898 -5.99453651 -6.41749641 -7.13583397 -6.39937265\n", - " -5.58801599 -5.43494887 -5.79238828 -7.24481584 -5.95071885 -5.74248969\n", - " -7.85110186 -5.71030197 -5.14621599 -5.16049823 -7.62113042 -5.2899646\n", - " -6.46814924 -6.15480155 -8.59819974 -8.24632089 -5.23208508 -7.41315123\n", - " -5.43830418 -6.36052057 -7.85258771 -6.77568595 -5.5532008 -5.37815021\n", - " -5.61673621 -5.84949943 -5.35457579 -6.73814758 -5.36730871 -6.7926282\n", - " -5.25228062 -7.78434064 -7.16242897 -5.91453775 -6.9162868 -5.15382147\n", - " -6.28525798 -6.29841091 -5.91012535 -5.72271208 -8.18076057 -8.13317982\n", - " -6.15131969 -6.65844888 -5.62013372 -5.8661364 -5.30007844 -5.91204638\n", - " -5.19145013 -5.76447124 -6.24936426 -7.44973358 -6.71359141 -6.18192879\n", - " -5.83687631 -5.83550439 -8.54531309 -5.74975995 -8.88928396 -5.56389677\n", - " -7.54838885 -8.30132489 -5.42898913 -5.15791383]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -6.90623403 -5.68876677 -5.29057153 -4.99730897 -5.88579298\n", - " -6.08393 -6.09091503 -6.53937138 -5.90876671 -4.93573784 -5.17404538\n", - " -7.89414367 -5.35483425 -5.91414643 -5.24206925 -6.17909082 -5.34319067\n", - " -8.53220628 -6.3134476 -7.19088728 -6.09633611 -6.09691324 -5.5869564\n", - " -5.97207719 -5.62027533 -5.66668692 -6.32205753 -5.34035097 -6.97762395\n", - " -7.09723244 -5.97258473 -5.93003707 -6.43133707 -9.52993139 -7.7337766\n", - " -5.572866 -7.57076752 -7.80125831 -5.99726135 -5.85411119 -5.74976106\n", - " -6.86917178 -5.85355184 -5.86500561 -6.96100737 -5.63408489 -9.51734604\n", - " -5.76445387 -5.71938031 -7.96985339 -5.48615376 -7.57833206 -6.66384663\n", - " -8.31414776 -6.91683037 -5.60450767 -7.51521514 -7.45815616 -5.24216671\n", - " -5.48660669 -6.72175913 -6.70766856 -6.26338455 -5.52549783 -6.63644464\n", - " -6.70050992 -6.18987942 -6.01152009 -5.7429014 -6.2841547 -5.54376039\n", - " -6.3456597 -6.70255554 -5.51728999 -5.50405242 -6.10141474 -6.84511474\n", - " -9.30836166 -8.96242083 -5.40533957 -6.62986283 -5.59185995 -7.25860343\n", - " -5.64337762 -7.00634687 -5.68138443 -5.95189953 -5.68363979 -6.92852834\n", - " -6.20899898 -6.53653831 -6.93639647 -8.225677 -5.62289562 -6.06079908\n", - " -5.31120616 -6.62832934 -6.91074146 -6.73822064]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -5.00480986 -5.86356281 -6.49804658 -6.35760955 -5.56318068\n", - " -5.15348604 -5.1538043 -5.40192021 -7.96976215 -7.76712293 -5.40688783\n", - " -5.12339377 -5.98599372 -5.5953401 -7.13159319 -5.29899308 -5.27453662\n", - " -6.59856327 -6.83052967 -5.59411189 -5.80373516 -5.5164577 -5.98866249\n", - " -5.49416512 -5.65644199 -7.00025746 -5.98193147 -5.22666194 -5.3455335\n", - " -6.41933312 -6.18330471 -8.33564791 -5.91951554 -5.40208889 -5.57973407\n", - " -5.77297306 -7.47018977 -6.08659707 -7.39141636 -7.38819274 -5.9206085\n", - " -5.81015301 -6.78774573 -6.90269956 -6.3194511 -6.05963081 -5.80588313\n", - " -5.94197592 -6.31960393 -7.26649545 -5.38352918 -5.6399956 -7.93189706\n", - " -6.81787148 -5.72915698 -5.03658976 -5.64574102 -5.44842871 -6.75244598\n", - " -6.0929474 -5.40797733 -7.22745763 -5.85436134 -7.03131368 -6.45390433\n", - " -7.79182203 -6.3916983 -5.21074274 -5.96407014 -6.02228698 -9.10661671\n", - " -5.19451963 -7.19531141 -5.85359558 -6.36398237 -5.55109834 -6.57308896\n", - " -6.89791022 -7.22820614 -5.46039637 -6.18245538 -6.45067866 -5.75853447\n", - " -5.38462531 -5.45854528 -5.38645444 -5.2367867 -9.05408552 -6.15519298\n", - " -7.0076146 -6.35439842 -5.48385701 -6.20276994 -5.53463021 -7.63833152\n", - " -5.51381066 -5.89618935 -5.59136808 -6.43642126]\n", - "******\n", - "Last Generation Fitness: [ -4.63635012 -5.84733819 -4.79405607 -9.47730805 -5.75988252\n", - " -7.51557539 -7.89925098 -6.02501129 -6.08836603 -6.39123293\n", - " -5.23256853 -6.29578724 -4.93497561 -5.27836208 -7.11126766\n", - " -5.22436913 -5.56698272 -7.71229942 -6.29883268 -5.97484319\n", - " -4.9591119 -5.09199284 -8.38445594 -6.52985642 -6.00639295\n", - " -5.47354777 -5.18343912 -5.30144003 -5.73131663 -7.1360394\n", - " -7.86048809 -6.35890521 -5.10556407 -5.43451389 -5.76374655\n", - " -6.38956439 -5.51118774 -5.65644199 -7.67543073 -7.07833654\n", - " -6.34529541 -7.54957269 -5.85874812 -6.80481687 -6.21040519\n", - " -5.27581865 -5.58382937 -7.67199011 -5.98639856 -5.5190832\n", - " -6.27143127 -5.7482559 -5.29359044 -6.78604619 -7.49039651\n", - " -5.71568538 -6.46492427 -8.55675381 -9.19474791 -8.33213762\n", - " -5.33871037 -8.4002467 -5.90279997 -5.40602025 -5.97802825\n", - " -5.60890704 -5.65552736 -7.11415349 -5.76039664 -5.23870867\n", - " -5.61109105 -5.75014357 -5.76591211 -6.19314488 -5.60403773\n", - " -6.2499034 -7.99179989 -6.79501565 -5.71917547 -5.74764916\n", - " -5.83778194 -12.29067515 -5.70506137 -5.91568811 -5.80443342\n", - " -6.84798828 -5.36258699 -5.77560526 -6.05026811 -5.65311102\n", - " -8.82364817 -6.04450072 -5.95596732 -6.47679907 -7.23565818\n", - " -5.55814962 -6.07121151 -6.66380376 -5.96142919 -5.65053686]\n", - "******\n", - "Last Generation Fitness: [ -4.63635012 -5.2905015 -5.84710149 -5.37089715 -5.28381866\n", - " -8.96986369 -5.72117988 -5.74501558 -5.5864688 -5.39629606\n", - " -7.57755722 -5.27836208 -6.23733867 -5.75805323 -5.41215449\n", - " -9.37655574 -5.72998252 -6.70299272 -7.6137013 -6.33123502\n", - " -7.16654406 -6.97390821 -5.26109053 -5.46631286 -7.21785126\n", - " -5.99784317 -5.42971789 -7.80568019 -6.02353451 -6.61680591\n", - " -5.76527715 -5.85186568 -5.21844763 -6.75572155 -7.11652706\n", - " -5.95071885 -4.77674626 -5.61663471 -4.78813031 -9.04640004\n", - " -6.05602711 -6.86157081 -7.42877317 -6.71983833 -5.95289344\n", - " -5.69370937 -5.68393862 -7.50183422 -5.56065723 -6.04696258\n", - " -5.50810598 -6.97799285 -5.474747 -6.08114603 -5.98273913\n", - " -6.59208937 -5.46876524 -5.26225435 -6.10923042 -5.99813895\n", - " -6.20586164 -5.57187033 -5.17194191 -6.0637233 -5.89885615\n", - " -5.54754172 -6.97739417 -5.87480025 -6.21908833 -5.82745211\n", - " -5.47837806 -6.88541391 -6.60013906 -6.96230703 -6.17384441\n", - " -6.167184 -8.58864188 -5.28195198 -6.21251555 -5.51549405\n", - " -10.21988603 -5.88152352 -6.50276353 -9.36603286 -6.53238611\n", - " -6.17017959 -6.10149359 -5.83622141 -9.38686808 -6.34976148\n", - " -5.65425616 -6.70595049 -7.1256866 -5.86415898 -5.22048313\n", - " -5.66733162 -5.9980072 -6.49087557 -6.73604668 -5.92168548]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -5.02697277 -5.10517583 -7.68523162 -6.66114701 -6.23299718\n", - " -6.72380971 -5.65907171 -6.08205658 -7.37659323 -6.83465943 -5.96064372\n", - " -5.11059133 -5.7242413 -5.55603703 -6.04848858 -7.19920455 -5.33369146\n", - " -6.81960189 -5.2398646 -7.34775445 -5.65532357 -5.32893638 -7.34467638\n", - " -5.98813759 -5.39540147 -8.04616697 -6.8485326 -6.88490418 -6.09947771\n", - " -5.43540753 -6.07399403 -5.72984236 -5.49776929 -5.79116841 -7.20191422\n", - " -7.13115909 -5.75535066 -6.67296091 -8.1915937 -5.56151423 -6.16142736\n", - " -6.66613477 -5.29554659 -5.75112468 -6.18613219 -5.47615711 -5.49034061\n", - " -6.22406396 -5.60566257 -7.92135452 -5.20434862 -4.80498691 -5.2476028\n", - " -5.75969864 -5.34483039 -6.69136005 -6.24014166 -5.80940502 -5.16385206\n", - " -5.34456386 -5.90150347 -5.5477669 -5.98111565 -5.88577499 -6.79318942\n", - " -6.79529967 -5.41365929 -9.5220323 -6.16583128 -5.8579123 -5.55593542\n", - " -5.28427611 -8.21946966 -6.17238564 -5.72568095 -5.75469384 -5.59581952\n", - " -6.02179517 -7.06420518 -5.13366923 -4.87653407 -7.1963957 -6.94129467\n", - " -6.53113302 -5.88505281 -6.80600702 -6.73070524 -5.89994798 -6.91461154\n", - " -6.71334096 -7.00331499 -5.45919261 -5.64478234 -9.79704564 -5.54665013\n", - " -5.807271 -6.47294977 -6.99208835 -5.52780373]\n", - "******\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Last Generation Fitness: [-4.63635012 -5.24097268 -6.70872783 -5.16754782 -5.11659663 -5.55036639\n", - " -9.54418097 -6.88844021 -5.19404953 -6.88993291 -8.86329166 -5.66115796\n", - " -6.97771224 -5.13378303 -7.20359088 -5.74544011 -5.88503741 -5.5884447\n", - " -5.76551707 -8.17478363 -5.51416209 -6.5608184 -6.53333276 -6.60738443\n", - " -7.71776207 -6.37286448 -5.49444925 -5.68778189 -6.87698162 -5.29550438\n", - " -5.64972074 -7.00650886 -6.13758343 -8.98628352 -6.13148487 -6.50495001\n", - " -6.81655573 -5.47571616 -8.26628466 -5.29213011 -6.08406278 -6.26961205\n", - " -6.9228612 -7.28523385 -5.57732193 -8.38172254 -5.63375153 -8.09204494\n", - " -5.59632044 -5.52859362 -4.90895677 -5.22531551 -5.48087419 -4.91479071\n", - " -6.02551786 -5.25297283 -6.27630717 -6.41403061 -5.10243318 -5.73826561\n", - " -8.07301811 -6.86912622 -6.93249695 -5.66535654 -5.10659059 -6.13140371\n", - " -6.53701615 -5.51358515 -8.17339776 -5.96015828 -7.49644104 -5.31698942\n", - " -6.30701944 -5.77963733 -4.90926541 -6.47360158 -6.6840543 -5.55593542\n", - " -5.26821955 -6.00967107 -5.78096282 -6.7805278 -6.60956939 -8.03992787\n", - " -5.67067574 -6.33992823 -6.44077486 -6.92324173 -5.75240385 -5.90583965\n", - " -4.9252511 -8.8782761 -5.387023 -5.3911798 -7.2853108 -8.56029581\n", - " -5.67020405 -6.25171784 -5.51729656 -7.05547982]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -5.95936106 -5.54445804 -5.33296964 -6.0660497 -6.94303104\n", - " -5.38773762 -5.19486604 -5.60744948 -5.52304003 -5.081935 -5.95766194\n", - " -6.4018356 -5.43683524 -6.10431428 -5.5075217 -6.33055799 -7.16087534\n", - " -5.38979625 -6.09493265 -5.22568117 -7.19351106 -8.2355872 -5.65664706\n", - " -5.46889372 -5.893204 -6.37838909 -5.51824937 -5.5206851 -7.21586987\n", - " -6.12958745 -7.7280138 -6.45336307 -5.54469176 -7.97325192 -6.36632399\n", - " -5.98864724 -8.24103009 -5.21044227 -5.10543832 -6.72219552 -6.46566962\n", - " -5.21051838 -5.4585853 -5.46334972 -6.69988611 -5.25999321 -5.26229009\n", - " -8.28853992 -7.99338074 -5.2221549 -6.64550775 -5.41100964 -6.12097474\n", - " -8.71937895 -5.89596212 -8.25312092 -5.77719955 -6.98998807 -7.17851786\n", - " -5.10919796 -5.68289734 -6.80964915 -7.78394213 -5.35390679 -7.13243997\n", - " -5.45060183 -6.59893645 -9.69895714 -6.61339711 -5.93995925 -5.67004177\n", - " -7.79247121 -5.44088682 -7.52750285 -6.40222061 -5.38657816 -6.98805892\n", - " -6.1352641 -6.12284517 -6.23453838 -5.42901359 -6.22511572 -5.47637092\n", - " -5.69407341 -5.52131976 -6.54500721 -5.56509733 -5.51159772 -6.92145226\n", - " -5.6048141 -5.98497131 -8.06089452 -7.81338348 -5.88701876 -5.07463623\n", - " -6.3535256 -5.25308916 -9.12776658 -7.26349639]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -8.30459156 -7.6126125 -5.34092046 -5.02478945 -9.78229446\n", - " -5.94139727 -5.44974896 -6.9817299 -5.17980286 -5.66544179 -6.34359876\n", - " -5.51301597 -7.38011026 -7.12260046 -5.01914327 -5.46192571 -4.86672196\n", - " -5.84437183 -5.31458856 -5.59135983 -6.89788809 -5.81634229 -5.78098228\n", - " -9.11499276 -8.10194366 -5.31207671 -6.01656542 -5.29664678 -6.6872929\n", - " -5.60509805 -5.70103413 -6.69421876 -5.43365648 -6.72830739 -5.53622059\n", - " -6.07380514 -6.1291965 -5.63223985 -8.09394444 -5.20475675 -7.53258854\n", - " -6.07261525 -5.64858863 -9.31419507 -5.98757169 -7.50317271 -8.16509969\n", - " -5.20572156 -6.04949289 -5.85836784 -5.62463252 -5.63343104 -6.27174209\n", - " -5.34249006 -4.78264835 -7.82866839 -6.23803451 -6.88031694 -5.48764402\n", - " -5.67885843 -6.65422676 -7.03945348 -6.6607971 -5.62807253 -5.20337608\n", - " -8.960043 -8.2602677 -6.44806832 -5.26380764 -5.13841656 -7.6301655\n", - " -6.69671351 -6.43320664 -5.38418619 -4.89609188 -5.42872202 -5.60423498\n", - " -9.50499072 -5.8067186 -5.33628159 -7.56955713 -5.70029379 -5.92358871\n", - " -8.96608069 -5.15939028 -7.06344968 -5.36926459 -5.42669366 -5.43922532\n", - " -6.02899975 -5.07660108 -6.35528242 -4.70023364 -5.79369954 -5.74418665\n", - " -7.40450233 -7.01573921 -7.18512354 -5.36311351]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -6.36822289 -6.52083815 -8.35708579 -8.11663205 -6.85023705\n", - " -6.40623712 -5.807867 -5.33139107 -7.50302924 -5.38529203 -8.26164017\n", - " -5.46774455 -5.83287443 -6.48838861 -6.24799354 -5.50044836 -9.3085056\n", - " -5.04842779 -7.33356635 -5.99438962 -5.1168473 -5.32032145 -6.75430979\n", - " -5.26945427 -6.85250025 -6.04091858 -6.20471775 -7.43820943 -8.90330131\n", - " -5.59609525 -5.58484009 -5.05654433 -6.70394435 -7.00097357 -6.65796048\n", - " -6.69575125 -5.77797724 -4.92180289 -7.52460695 -6.1380966 -6.55258693\n", - " -5.21407998 -6.93229631 -8.41499989 -6.24065921 -7.62034562 -5.51682117\n", - " -7.40176962 -5.43156656 -5.98467525 -8.48955453 -6.6171253 -5.35514192\n", - " -8.62514813 -6.50299125 -9.00875564 -4.88989694 -6.3036151 -6.64028568\n", - " -6.81549489 -6.13680479 -6.81855098 -9.62906657 -6.40209031 -5.49578604\n", - " -5.29165667 -4.98191425 -7.38218942 -6.63663719 -7.51940606 -5.866629\n", - " -6.24347777 -5.50503527 -6.22175334 -5.31637028 -8.98105106 -5.68066116\n", - " -5.46034354 -7.23584652 -5.74549428 -5.81971379 -5.13769676 -5.91791445\n", - " -5.71818387 -5.23800358 -5.24035016 -5.62978321 -5.32278307 -8.06085589\n", - " -7.1849445 -8.06818659 -8.56199322 -6.87318502 -6.05212432 -5.28630547\n", - " -7.48147643 -6.17640655 -5.74729894 -5.45324623]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -7.23048976 -5.18151357 -6.06122383 -6.67334375 -5.42403523\n", - " -6.77385961 -5.14086746 -5.44076393 -5.2876733 -6.87464213 -5.98434196\n", - " -5.15935656 -5.30639114 -9.28543161 -5.60272818 -7.30322651 -6.36671334\n", - " -6.42722193 -6.62348133 -5.2191336 -5.50637778 -6.00129784 -5.73888127\n", - " -5.99010471 -7.03494908 -5.80415538 -5.93914957 -7.00154815 -4.8164521\n", - " -8.30450502 -5.15954034 -6.69683194 -5.60137583 -5.78594789 -5.20757115\n", - " -5.77784139 -6.98461242 -6.74805035 -5.83419166 -5.49446396 -6.27912332\n", - " -5.60165657 -7.10376518 -4.77522612 -5.64751637 -7.16636152 -6.6762129\n", - " -6.25780226 -7.68352476 -5.13050598 -5.59649065 -6.08068621 -5.60267748\n", - " -5.48177963 -5.24042026 -5.30430058 -6.24415987 -6.76875908 -5.09085115\n", - " -6.86437822 -8.42130495 -5.39819395 -5.45636915 -6.3473274 -6.66027196\n", - " -6.96371092 -7.03753883 -5.11931308 -6.28566545 -5.31187757 -5.16925809\n", - " -5.30205831 -5.04518185 -5.99000722 -6.53782998 -5.69522535 -5.49923234\n", - " -6.55430081 -5.27544783 -5.50670361 -5.87889934 -5.91068045 -4.90368721\n", - " -6.01537131 -7.41199278 -6.67328397 -5.28610334 -5.83084667 -6.25917558\n", - " -5.39871302 -6.94147001 -5.85187754 -6.37163688 -5.35177697 -6.92793145\n", - " -7.25783159 -5.94822936 -6.60234316 -6.01339697]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -6.12824815 -6.01599742 -6.47840652 -6.38229363 -5.66880068\n", - " -5.61222596 -5.67719419 -5.39653036 -5.2141175 -5.81834305 -5.95209381\n", - " -7.32247335 -6.24474767 -6.94250671 -6.57024275 -5.4977359 -6.56817065\n", - " -5.57681047 -7.63152132 -5.32052092 -6.15872267 -5.5043697 -6.08786682\n", - " -6.08918176 -6.76872111 -6.16291935 -5.8134089 -5.63519338 -6.36409269\n", - " -7.80598658 -5.37718684 -7.30626722 -7.33932486 -6.0904746 -6.45816308\n", - " -6.32851086 -6.17243468 -5.35174459 -5.12734561 -7.54248677 -5.94787598\n", - " -5.40102948 -4.87831575 -6.72653826 -5.74983301 -6.42766181 -5.71193297\n", - " -8.46529936 -7.09856712 -5.80149172 -6.25707708 -4.91285732 -7.59283905\n", - " -6.2211861 -6.68195288 -6.42687883 -5.60806396 -5.77299485 -5.2856512\n", - " -6.82071658 -5.29847162 -5.90132368 -6.86680075 -5.57134602 -6.64803954\n", - " -6.51518154 -5.09920002 -7.00974523 -7.32947271 -8.22600656 -7.33536186\n", - " -5.25964255 -6.14525643 -5.86127817 -5.32823057 -6.36428593 -6.00596386\n", - " -5.41403173 -7.23037979 -5.46308014 -6.56286132 -5.45353525 -5.62102322\n", - " -5.85739223 -6.70137027 -5.44519354 -5.50809385 -6.69860172 -5.97218735\n", - " -6.9726333 -5.29144557 -7.65051905 -5.50810143 -5.45669916 -6.11600852\n", - " -5.67462523 -5.71654148 -6.07114569 -5.24864716]\n", - "******\n", - "Last Generation Fitness: [ -4.63635012 -7.75987744 -5.79385163 -5.07901161 -6.98760571\n", - " -5.78524396 -7.75838251 -5.82351753 -8.53765447 -9.3788125\n", - " -7.71245001 -6.32277682 -6.46641544 -6.12174617 -5.38628285\n", - " -6.02302488 -6.74192427 -5.5648685 -5.96798345 -5.00425173\n", - " -7.9659145 -6.77299134 -6.30171521 -6.41245034 -5.3964428\n", - " -5.83249179 -5.54736831 -6.72562896 -5.10544262 -6.00324189\n", - " -5.92233283 -5.70307039 -11.00792711 -5.06937033 -6.87773498\n", - " -6.60474968 -8.39202914 -5.63366055 -5.31523694 -5.76612993\n", - " -6.03216436 -5.321339 -6.52872507 -6.27081404 -6.7027541\n", - " -5.28557669 -7.08266023 -6.96171873 -6.35273905 -6.50924274\n", - " -6.41382418 -5.29846833 -5.44753746 -6.4999248 -5.84716328\n", - " -7.1556634 -5.36655493 -5.77666846 -5.42319576 -6.81928954\n", - " -7.75721071 -6.29735571 -6.67448961 -9.42146454 -7.04719283\n", - " -5.95550408 -6.54854296 -5.53141964 -5.56102489 -5.56756558\n", - " -5.26131704 -6.01572194 -6.15051858 -5.31282423 -6.6323835\n", - " -6.18521514 -6.3657207 -8.0076953 -6.28191574 -5.46482772\n", - " -5.48895825 -6.42457612 -5.58697889 -6.57638898 -7.17341766\n", - " -5.56938838 -8.22182873 -5.72013364 -7.57757351 -6.01581885\n", - " -6.59526405 -5.98822678 -9.76040714 -6.35046295 -6.40952542\n", - " -5.83862988 -6.27746039 -6.21610237 -6.43501626 -7.27511398]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -8.88669171 -4.80723531 -5.21281139 -5.1028323 -6.17518965\n", - " -6.20297332 -6.02400137 -5.09173134 -5.83533425 -7.03824034 -7.08591529\n", - " -7.09030941 -5.42153219 -5.46392759 -5.16799183 -7.3401602 -5.5444953\n", - " -5.30885968 -7.14963427 -5.62131197 -9.06413443 -5.4804294 -5.81033203\n", - " -7.19202048 -5.39890966 -5.15403606 -5.9030502 -5.4312206 -6.87190127\n", - " -6.62681555 -6.5713194 -5.27056991 -6.67248 -6.11609749 -5.5927222\n", - " -6.82362246 -5.72655967 -7.34982233 -7.07270178 -5.28184623 -6.22496741\n", - " -6.89502895 -6.97444088 -6.28186129 -5.81923966 -5.99239348 -9.24341076\n", - " -6.014928 -6.84276326 -6.42501147 -4.92236154 -5.82888985 -5.92114902\n", - " -6.64888113 -6.09215927 -7.12639675 -5.13103031 -6.20243757 -5.84241077\n", - " -6.26359178 -5.7149902 -5.5336808 -5.93864676 -6.54098683 -7.47629516\n", - " -9.84861867 -5.45397788 -5.61579078 -6.00843967 -7.63093884 -5.75041288\n", - " -5.49254784 -6.6354021 -6.8316379 -6.06574382 -6.5562409 -6.68742678\n", - " -7.07513083 -5.88878818 -6.79399582 -5.11189163 -5.67639568 -6.0115868\n", - " -6.85213927 -7.20613669 -5.29974983 -5.80550328 -7.9402707 -6.83684933\n", - " -6.27123476 -5.86506707 -5.91703483 -5.96512793 -6.50002345 -5.9821409\n", - " -5.68441176 -6.82675858 -6.41709929 -6.0137575 ]\n", - "******\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Last Generation Fitness: [-4.63635012 -6.00790666 -5.57671964 -5.29858567 -5.19592727 -5.03275932\n", - " -5.77518211 -5.55854057 -5.29220557 -7.33133229 -6.53378159 -5.83706187\n", - " -6.40954828 -7.05573502 -6.46292167 -7.00258039 -6.9182322 -5.66211608\n", - " -5.24646291 -6.39998473 -5.37445577 -5.57230531 -7.49516096 -5.30134682\n", - " -5.42766171 -6.61046112 -8.12003448 -7.25444038 -5.62103219 -5.30346358\n", - " -6.45501652 -4.94476719 -6.2768614 -6.53221679 -6.25529284 -5.54698537\n", - " -5.53406936 -5.26803617 -6.27259654 -5.82752203 -7.07236554 -7.3435702\n", - " -5.64113873 -6.28117656 -6.62483852 -5.1948601 -5.22703607 -5.3987233\n", - " -5.20976588 -5.7322256 -6.67093932 -5.95562476 -5.55126465 -5.57087415\n", - " -6.61504754 -6.16984545 -6.91934754 -7.10100485 -5.57263567 -6.13057042\n", - " -6.95031549 -6.07229298 -6.30340952 -5.95449285 -7.57523784 -6.18211957\n", - " -5.76135763 -8.34716954 -5.77509347 -5.64243688 -5.03661599 -5.06436054\n", - " -5.99228791 -5.24387479 -6.26820154 -6.57994629 -5.54057601 -5.82423695\n", - " -5.94946273 -5.7317996 -5.28943413 -5.57064124 -6.87298909 -7.63359065\n", - " -5.86802192 -7.94895632 -5.58422762 -5.39429301 -5.63906452 -5.9111878\n", - " -7.33403172 -6.54908722 -4.78547962 -4.84421645 -6.62606503 -6.85816048\n", - " -5.31283357 -7.02292843 -6.89910108 -5.75145178]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -5.04331123 -5.29677852 -5.20958164 -5.53131885 -6.06711167\n", - " -7.19941551 -5.84935081 -5.57812532 -5.51584624 -6.34239587 -5.40443728\n", - " -6.43230866 -5.44517646 -7.41948031 -7.58223019 -5.35853506 -6.67743149\n", - " -5.54700919 -5.80781891 -7.36013586 -6.14416835 -4.90059156 -7.1659656\n", - " -5.01866587 -5.38191469 -5.47336512 -5.21763331 -6.27609423 -6.49975811\n", - " -5.54565416 -5.73379869 -5.13103031 -6.02114189 -6.00471294 -9.19972658\n", - " -5.81321314 -8.47417525 -6.37383395 -6.50932779 -6.66564409 -6.7968169\n", - " -6.31639084 -5.59547177 -8.83462404 -5.31079971 -7.23786829 -6.86900349\n", - " -5.40316134 -5.73901558 -6.00530627 -7.32861245 -6.92600348 -5.42385814\n", - " -5.70454531 -5.30154417 -5.99654653 -5.84866215 -5.41252169 -5.24285446\n", - " -6.08248381 -6.11399177 -8.03301084 -7.10274009 -6.74600562 -5.73360459\n", - " -5.61673288 -9.69739122 -5.61816703 -5.31769554 -5.38070077 -6.66355942\n", - " -5.92216408 -7.97152615 -5.19734498 -5.60115213 -5.67126179 -6.20701559\n", - " -5.55001005 -5.87864302 -5.79587181 -5.4074311 -6.03569631 -6.80417814\n", - " -5.4767285 -6.26603225 -6.23575705 -5.23153952 -6.00299567 -6.74360526\n", - " -8.66283993 -7.00019681 -4.97142877 -8.9933525 -5.2308391 -8.88154128\n", - " -7.40727352 -5.98180648 -7.77599205 -6.8552002 ]\n", - "******\n", - "Last Generation Fitness: [ -4.63635012 -5.5834463 -4.78228157 -5.65449188 -7.09877269\n", - " -5.85123565 -5.02638542 -5.59035479 -8.59531259 -6.03116347\n", - " -5.78833758 -5.74558923 -4.99103146 -8.26587874 -5.98137075\n", - " -6.20171227 -5.24064051 -5.97854937 -8.67893782 -7.77636539\n", - " -6.97468319 -6.91938614 -6.9771317 -5.41190136 -5.09864421\n", - " -6.73582322 -6.20147892 -4.7227731 -7.40867817 -7.5335547\n", - " -5.39582245 -6.42065913 -6.14160161 -8.10651277 -6.33226843\n", - " -7.90587451 -6.78962797 -5.43151646 -5.14538428 -5.87634583\n", - " -5.69771789 -6.27992924 -5.48569023 -5.24337113 -5.54205151\n", - " -6.05961476 -6.25304362 -8.28558491 -8.01397382 -6.79059169\n", - " -10.03118753 -5.37242898 -6.53605941 -5.35508572 -9.38516579\n", - " -6.73759318 -6.06697117 -6.71615936 -6.3819906 -5.32141078\n", - " -4.88755102 -5.38036113 -7.17666327 -6.37673667 -6.40237102\n", - " -5.05832191 -5.24866479 -6.65139373 -5.81739598 -5.73396255\n", - " -8.10490418 -5.93084599 -5.92585855 -5.82523141 -7.04288699\n", - " -6.57355164 -5.52070865 -5.9269919 -5.67605325 -6.07588742\n", - " -5.09975843 -6.81140531 -6.83442867 -6.59997184 -5.56420148\n", - " -5.42589583 -7.1525044 -6.53097054 -7.23182081 -6.64977789\n", - " -7.32886515 -5.4446974 -5.42335521 -7.18389717 -7.45232778\n", - " -5.21463486 -6.65262634 -5.72000431 -5.75781661 -7.32318583]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -5.13165393 -5.32313477 -6.43273592 -6.55298912 -5.79412479\n", - " -5.00419737 -6.94302637 -5.63821542 -5.24316379 -5.85804981 -5.11879219\n", - " -8.23932536 -7.20123139 -5.11900088 -5.7092406 -5.12634072 -5.08683998\n", - " -6.40573689 -5.91050705 -5.99101154 -7.5607897 -5.64421118 -7.64722531\n", - " -5.65764179 -5.51815387 -6.29833452 -5.88461933 -7.9243899 -6.73926349\n", - " -5.6174966 -5.76638583 -5.48897084 -8.4835288 -7.81378284 -6.36465081\n", - " -6.23703745 -6.37497315 -5.82592667 -5.70702452 -6.85054912 -6.32125933\n", - " -5.92531871 -5.56073218 -7.05597935 -7.02341538 -5.40535627 -5.89720162\n", - " -7.08460027 -6.29211108 -5.52622293 -6.29100028 -4.8292832 -7.1050256\n", - " -5.25555169 -7.75475564 -5.36585759 -5.3455853 -6.33648691 -5.96960448\n", - " -5.81365484 -5.16902572 -5.54813973 -5.91510647 -5.26073592 -5.13915966\n", - " -5.14864959 -6.80426063 -5.61668978 -5.21247329 -6.71273634 -5.16759659\n", - " -5.00557558 -5.18694328 -6.89861697 -5.09823279 -5.50476287 -6.77027302\n", - " -6.4284956 -5.56718631 -6.26425532 -5.95382594 -5.11617584 -5.72332692\n", - " -5.46235056 -5.49743586 -5.76189133 -5.16009873 -5.82407514 -5.77749727\n", - " -5.38169259 -5.68005465 -6.12851357 -6.15266642 -6.2631984 -5.5533317\n", - " -5.58710799 -5.84831776 -5.11873291 -6.7878921 ]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -5.51177161 -5.80197585 -5.16610719 -5.29979088 -5.68416722\n", - " -6.6942071 -5.26125071 -4.83901055 -7.99722968 -7.96599414 -6.42457612\n", - " -5.1980018 -5.14389027 -5.6847242 -6.4736267 -6.11391675 -6.32723139\n", - " -7.60005022 -5.57674067 -6.38663746 -7.20500715 -6.2327891 -6.69572067\n", - " -5.700109 -6.49760726 -6.09541916 -6.52673851 -6.36338574 -5.32994061\n", - " -7.80819095 -5.30167207 -5.17089296 -5.5598681 -7.29017178 -7.08228481\n", - " -5.62815869 -5.50122554 -6.67370763 -6.79701834 -5.09841724 -8.08808898\n", - " -5.62787102 -7.50109228 -6.49371986 -7.36956158 -5.56888706 -5.66899867\n", - " -7.31059476 -5.47476971 -7.16812382 -5.09356607 -5.4136181 -4.99295958\n", - " -5.5800382 -6.48839314 -6.40281448 -5.45302479 -6.03198483 -5.4644512\n", - " -5.23389496 -6.51927227 -6.09642168 -5.3105906 -9.18623705 -5.71376047\n", - " -6.40916474 -6.62696404 -7.79976302 -5.60106351 -5.24272461 -5.40047834\n", - " -8.41105647 -5.28282046 -6.50075631 -5.88672354 -5.79144568 -8.46111665\n", - " -5.56163246 -5.17690548 -5.6114772 -5.78807522 -6.57776541 -6.06241607\n", - " -6.26863077 -5.66390305 -6.68870672 -7.03999694 -5.16561457 -5.6174966\n", - " -5.24440536 -6.38918554 -5.53879417 -5.46625949 -6.64244642 -6.61674258\n", - " -8.89399393 -8.76884703 -5.45478723 -6.99420125]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -8.55361277 -6.23795296 -5.89074117 -8.00336963 -5.59386503\n", - " -6.9897865 -5.49202293 -7.07852285 -8.92646913 -5.18036627 -7.81544731\n", - " -9.92099916 -6.31297787 -5.4985208 -5.58143123 -6.94706889 -5.74024106\n", - " -7.23501095 -5.527015 -5.19335233 -5.53811712 -5.3182702 -5.75406674\n", - " -5.60675032 -6.42515091 -5.0788105 -5.24051475 -6.17507574 -6.95622075\n", - " -5.89612793 -5.65963492 -5.4131308 -5.62633908 -5.82011344 -7.24336886\n", - " -5.03603123 -7.17435476 -6.145519 -6.90930363 -6.00534717 -6.02746936\n", - " -6.31866009 -5.49955176 -7.17885877 -6.69074959 -7.1276956 -9.67192557\n", - " -5.50717369 -5.58896277 -6.3859047 -5.17482234 -7.02979997 -5.73028829\n", - " -6.72803551 -5.67448136 -9.13372584 -5.05638631 -8.25887032 -5.77684602\n", - " -5.48854305 -5.63004721 -6.41512658 -6.07970806 -5.31114497 -6.60248966\n", - " -5.12854002 -5.09511058 -5.40027349 -6.767312 -7.04211169 -5.63533024\n", - " -5.9524317 -6.04289539 -5.94947932 -5.96913645 -6.25197538 -6.05617127\n", - " -6.98599855 -5.35973788 -5.33639121 -4.91858293 -7.68140042 -5.53679395\n", - " -5.75017126 -6.4337322 -5.37414823 -6.73297753 -5.89551005 -5.78536327\n", - " -5.45083346 -5.95716924 -5.81263821 -6.55283216 -7.3805853 -6.70849293\n", - " -5.39581238 -5.37014393 -9.10373597 -5.53802599]\n", - "******\n", - "Last Generation Fitness: [-4.63635012 -6.30172918 -6.41710688 -6.0933069 -7.06470127 -5.42590229\n", - " -6.36190832 -6.76083139 -6.47206392 -7.57475764 -6.18465559 -6.98913755\n", - " -5.35839755 -7.01204426 -8.55615032 -7.14846766 -9.03969829 -5.1987273\n", - " -5.83388255 -5.68896805 -5.46417226 -6.65413786 -5.99159227 -6.31338457\n", - " -6.77220558 -6.04444291 -8.70262648 -7.07485569 -5.40653776 -5.35208177\n", - " -5.36100998 -6.35064415 -5.94189121 -7.96034713 -5.9684649 -5.49639769\n", - " -5.87852829 -5.19032079 -5.9851286 -7.08520665 -6.25434943 -7.32584605\n", - " -7.00994114 -5.81784736 -7.23856964 -7.49292027 -5.51266051 -7.42884863\n", - " -6.98050441 -9.44756381 -6.62130926 -4.9685433 -5.68725111 -5.94563141\n", - " -6.13817331 -5.19600889 -6.14667635 -6.03148809 -7.42194528 -5.52916465\n", - " -7.73905069 -7.48407072 -4.83313094 -7.1649687 -5.76566764 -7.8137368\n", - " -5.66248873 -5.08937255 -6.45047695 -5.71145506 -5.9981368 -5.42661947\n", - " -5.678612 -6.53357904 -7.36750845 -5.6880044 -6.45372267 -8.67109671\n", - " -5.44647705 -7.71644235 -5.95576932 -5.5251096 -5.45178431 -8.10012862\n", - " -9.11884889 -5.34855496 -7.43013246 -5.68365308 -6.2726403 -5.03306656\n", - " -5.41018512 -9.66273816 -7.01096986 -6.44914672 -6.84493211 -5.25837786\n", - " -6.29900051 -6.11152196 -5.61963302 -6.69872912]\n", - "******\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Last Generation Fitness: [-4.63635012 -6.44217136 -7.62446912 -5.28972579 -5.90316004 -5.66219709\n", - " -5.5430202 -5.50406006 -5.76711133 -6.03642016 -6.66351576 -6.7339954\n", - " -7.1454896 -5.36005885 -4.96584358 -6.79691398 -5.17218118 -5.44739029\n", - " -5.53227099 -6.93189757 -5.5923938 -7.75010871 -5.42392705 -8.31933784\n", - " -7.10032806 -7.14259252 -5.34522804 -6.13748187 -6.12442547 -7.49415191\n", - " -6.93139475 -8.50949839 -7.60315896 -5.32565531 -5.75909713 -6.11072208\n", - " -8.24104148 -5.39158965 -6.01748572 -6.54998973 -5.59436579 -6.1352285\n", - " -7.96562281 -9.51210322 -5.9996109 -7.88235816 -5.43473065 -8.53131755\n", - " -5.86934315 -5.35548232 -5.27180428 -5.29525536 -5.72263481 -5.64255766\n", - " -6.17555296 -5.4410491 -6.76087223 -7.71203382 -5.71134244 -7.86128808\n", - " -6.62959539 -6.27445086 -6.33375945 -5.22549919 -7.6365067 -6.88636952\n", - " -7.4366806 -7.9506058 -5.20936338 -5.41524334 -7.07783026 -5.70970901\n", - " -8.18506539 -5.98025669 -5.50678132 -6.82327897 -6.72418703 -6.15941354\n", - " -6.95044531 -7.53026277 -6.32006932 -6.1108611 -5.08176282 -5.89110748\n", - " -7.53618364 -6.83958511 -7.5366901 -7.29603277 -6.32468885 -6.1003952\n", - " -6.63075853 -6.10863153 -5.79721496 -7.92124831 -6.02339687 -6.5810062\n", - " -5.02571872 -5.45453016 -8.40653282 -6.85947652]\n", - "******\n" - ] - } - ], - "source": [ - "ga_instance.run()" - ] - }, - { - "cell_type": "code", - "execution_count": 73, - "id": "24b3dab2", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[1 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n", - " 1 0 0 0 0 0 0 1 0 0 0 0 0]\n" - ] - } - ], - "source": [ - "best_solution, _, _ = ga_instance.best_solution()\n", - "print(best_solution)" - ] - }, - { - "cell_type": "code", - "execution_count": 78, - "id": "de41a39a", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0\n", - " 0 1 0 1 0 0 0 0 0 0 0 0 0]\n" - ] - } - ], - "source": [ - "best_solution, _, _ = ga_instance.best_solution()\n", - "print(best_solution)" - ] - }, - { - "cell_type": "code", - "execution_count": 79, - "id": "ecc8addb", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "execution_count": 79, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ga_instance.plot_fitness()" - ] - }, - { - "cell_type": "code", - "execution_count": 74, - "id": "f57509bf", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "execution_count": 74, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ga_instance.plot_fitness()" - ] - }, - { - "cell_type": "code", - "execution_count": 60, - "id": "66d663f5", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "execution_count": 60, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ga_instance.plot_new_solution_rate()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "644175f7", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.7" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/facility_location/agent/tests/solver.ipynb b/facility_location/agent/tests/solver.ipynb deleted file mode 100644 index 031bb7fc6c775a92178a3fc0ac8738fb6110f6be..0000000000000000000000000000000000000000 --- a/facility_location/agent/tests/solver.ipynb +++ /dev/null @@ -1,142 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "5880eb74", - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "from sklearn.metrics import pairwise_distances\n", - "import time\n", - "from tqdm import tqdm\n", - "\n", - "from spopt.locate import PMedian\n", - "import pulp" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "abaedea7", - "metadata": {}, - "outputs": [], - "source": [ - "rng = np.random.default_rng()" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "569623ca", - "metadata": {}, - "outputs": [], - "source": [ - "def pulp_solve(points, demands, p, solver):\n", - " distance_matrix = pairwise_distances(points)\n", - " cost_matrix = distance_matrix * demands[:, None]\n", - " pmedian_from_cost_matrix = PMedian.from_cost_matrix(cost_matrix, demands, p_facilities=p)\n", - " pmedian_from_cost_matrix = pmedian_from_cost_matrix.solve(solver)\n", - " return np.array([len(temp) > 0 for temp in pmedian_from_cost_matrix.fac2cli], dtype=bool)" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "a67e61dc", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 2/2 [00:19<00:00, 9.79s/it]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "time: 9.795565128326416\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "solver = pulp.PULP_CBC_CMD(msg=False)\n", - "solver = pulp.GLPK_CMD(msg=False)\n", - "solver = pulp.GUROBI(msg=False)\n", - "#solver = pulp.GUROBI_CMD(msg=False)\n", - "n = 200\n", - "p = 4\n", - "num_exp = 2\n", - "all_points = rng.uniform(size=(num_exp, n, 2))\n", - "all_demands = rng.random(size=(num_exp, n))\n", - "start_time = time.time()\n", - "for idx in tqdm(range(num_exp)):\n", - " points = all_points[idx]\n", - " demands = all_demands[idx]\n", - " solution = pulp_solve(points, demands, p, solver)\n", - "print(f'time: {(time.time() - start_time)/num_exp}')" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "679b6f4b", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "solvers: ['GLPK_CMD', 'PYGLPK', 'CPLEX_CMD', 'CPLEX_PY', 'GUROBI', 'GUROBI_CMD', 'MOSEK', 'XPRESS', 'XPRESS', 'XPRESS_PY', 'PULP_CBC_CMD', 'COIN_CMD', 'COINMP_DLL', 'CHOCO_CMD', 'MIPCL_CMD', 'SCIP_CMD', 'HiGHS_CMD']\n", - "available solvers: ['GLPK_CMD', 'GUROBI', 'GUROBI_CMD', 'PULP_CBC_CMD']\n" - ] - } - ], - "source": [ - "solver_list = pulp.listSolvers()\n", - "available_solver_list = pulp.listSolvers(onlyAvailable=True)\n", - "print(f'solvers: {solver_list}')\n", - "print(f'available solvers: {available_solver_list}')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "143a6eb9", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.7" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/facility_location/cfg/2-nearest.yaml b/facility_location/cfg/2-nearest.yaml deleted file mode 100644 index 32dbb5394be1588de13e615a0c553c13ac587dd2..0000000000000000000000000000000000000000 --- a/facility_location/cfg/2-nearest.yaml +++ /dev/null @@ -1,61 +0,0 @@ -# env -env_specs: - min_n: 20 - max_n: 50 - min_p_ratio: 0.1 - max_p_ratio: 0.4 - max_steps_scale: 1 - tabu_time: 3 - tabu_stable_steps_scale: 0.1 - popstar: false - -# evaluation -eval_specs: - seed: 12345 - val_num_cases: 100 - test_num_cases: 100 - val_np: !!python/tuple [50, 10] - test_np: - - !!python/tuple [50, 5] - - !!python/tuple [100, 10] - - !!python/tuple [400, 50] - -# agent -agent_specs: - policy_feature_dim: 32 - value_feature_dim: 32 - policy_hidden_units: !!python/tuple [32, 32, 1] - value_hidden_units: !!python/tuple [32, 32, 1] - -# mlp -mlp_specs: - hidden_units: !!python/tuple [32, 32] - -gnn_specs: - num_gnn_layers: 2 - node_dim: 32 - - -# ts -ts_specs: - max_steps_scale: 2 - stable_iterations_scale: 0.2 - - -# popstar -popstar_specs: - graspit: 32 - elite: 10 - - -# ga -ga_specs: - num_generations: 100 - num_parents_mating: 50 - sol_per_pop: 100 - parent_selection_type: sss - crossover_probability: 0.8 - mutation_probability: 0.1 - - - diff --git a/facility_location/cfg/3-nearest.yaml b/facility_location/cfg/3-nearest.yaml deleted file mode 100644 index 9c12e11e9b15224b9df82692305fefc990e6a89f..0000000000000000000000000000000000000000 --- a/facility_location/cfg/3-nearest.yaml +++ /dev/null @@ -1,63 +0,0 @@ -# env -env_specs: - region: - min_n: 20 - max_n: 50 - min_p_ratio: 0.1 - max_p_ratio: 0.4 - max_steps_scale: 3 - tabu_time: 3 - tabu_stable_steps_scale: 0.1 - popstar: false - -# evaluation -eval_specs: - region: - seed: 12345 - val_num_cases: 100 - test_num_cases: 100 - val_np: !!python/tuple [50, 10] - test_np: - - !!python/tuple [50, 5] - - !!python/tuple [100, 10] - - !!python/tuple [400, 50] - -# agent -agent_specs: - policy_feature_dim: 32 - value_feature_dim: 32 - policy_hidden_units: !!python/tuple [32, 32, 1] - value_hidden_units: !!python/tuple [32, 32, 1] - -# mlp -mlp_specs: - hidden_units: !!python/tuple [32, 32] - -gnn_specs: - num_gnn_layers: 2 - node_dim: 32 - - -# ts -ts_specs: - max_steps_scale: 2 - stable_iterations_scale: 0.2 - - -# popstar -popstar_specs: - graspit: 32 - elite: 10 - - -# ga -ga_specs: - num_generations: 100 - num_parents_mating: 50 - sol_per_pop: 100 - parent_selection_type: sss - crossover_probability: 0.8 - mutation_probability: 0.1 - - - diff --git a/facility_location/cfg/NY.yaml b/facility_location/cfg/NY.yaml deleted file mode 100644 index 99919e01ee1bdd570e4bccdb1e924a7cf898f94b..0000000000000000000000000000000000000000 --- a/facility_location/cfg/NY.yaml +++ /dev/null @@ -1,65 +0,0 @@ -# env -env_specs: - region: NY - min_n: 50 - max_n: 299 - min_p_ratio: 0.05 - max_p_ratio: 0.0936455 - max_steps_scale: 3 - tabu_time: 2 - tabu_stable_steps_scale: 0.2 - popstar: false - -# evaluation -eval_specs: - region: NY - seed: 12345 - max_nodes: 2488 - max_edges: 5000 - val_num_cases: 1 - test_num_cases: 1 - val_np: !!python/tuple [299, 28] - test_np: - - !!python/tuple [50, 5] - - !!python/tuple [100, 10] - - !!python/tuple [400, 50] - -# agent -agent_specs: - policy_feature_dim: 32 - value_feature_dim: 32 - policy_hidden_units: !!python/tuple [32, 32, 1] - value_hidden_units: !!python/tuple [32, 32, 1] - -# mlp -mlp_specs: - hidden_units: !!python/tuple [32, 32] - -gnn_specs: - num_gnn_layers: 2 - node_dim: 32 - - -# ts -ts_specs: - max_steps_scale: 2 - stable_iterations_scale: 0.2 - - -# popstar -popstar_specs: - graspit: 32 - elite: 10 - - -# ga -ga_specs: - num_generations: 100 - num_parents_mating: 50 - sol_per_pop: 100 - parent_selection_type: sss - crossover_probability: 0.8 - mutation_probability: 0.1 - - - diff --git a/facility_location/cfg/dg.yaml b/facility_location/cfg/dg.yaml deleted file mode 100644 index c6fc97fff127ba6c783518c1c8ef40ecebb38a6e..0000000000000000000000000000000000000000 --- a/facility_location/cfg/dg.yaml +++ /dev/null @@ -1,63 +0,0 @@ -# env -env_specs: - region: - min_n: 20 - max_n: 50 - min_p_ratio: 0.1 - max_p_ratio: 0.4 - max_steps_scale: 0.1 - tabu_time: 1 - tabu_stable_steps_scale: 0.2 - popstar: false - -# evaluation -eval_specs: - region: BO - seed: 12345 - val_num_cases: 100 - test_num_cases: 100 - val_np: !!python/tuple [50,5] - test_np: - - !!python/tuple [50, 5] - - !!python/tuple [100, 10] - - !!python/tuple [400, 50] - -# agent -agent_specs: - policy_feature_dim: 32 - value_feature_dim: 32 - policy_hidden_units: !!python/tuple [32, 32, 1] - value_hidden_units: !!python/tuple [32, 32, 1] - -# mlp -mlp_specs: - hidden_units: !!python/tuple [32, 32] - -gnn_specs: - num_gnn_layers: 2 - node_dim: 32 - - -# ts -ts_specs: - max_steps_scale: 2 - stable_iterations_scale: 0.2 - - -# popstar -popstar_specs: - graspit: 32 - elite: 10 - - -# ga -ga_specs: - num_generations: 100 - num_parents_mating: 50 - sol_per_pop: 100 - parent_selection_type: sss - crossover_probability: 0.8 - mutation_probability: 0.1 - - - diff --git a/facility_location/cfg/gainloss.yaml b/facility_location/cfg/gainloss.yaml deleted file mode 100644 index 0982039acd3089e0f5d7ce1f77f0b0b8002b202e..0000000000000000000000000000000000000000 --- a/facility_location/cfg/gainloss.yaml +++ /dev/null @@ -1,63 +0,0 @@ -# env -env_specs: - region: - min_n: 20 - max_n: 50 - min_p_ratio: 0.1 - max_p_ratio: 0.4 - max_steps_scale: 3 - tabu_time: 3 - tabu_stable_steps_scale: 0.1 - popstar: false - -# evaluation -eval_specs: - region: - seed: 12345 - val_num_cases: 100 - test_num_cases: 100 - val_np: !!python/tuple [50, 10] - test_np: - - !!python/tuple [50, 5] - - !!python/tuple [100, 10] - - !!python/tuple [400, 50] - -# agent -agent_specs: - policy_feature_dim: 32 - value_feature_dim: 32 - policy_hidden_units: !!python/tuple [32, 32, 1] - value_hidden_units: !!python/tuple [32, 32, 1] - -# mlp -mlp_specs: - hidden_units: !!python/tuple [32, 32] - -gnn_specs: - num_gnn_layers: 2 - node_dim: 32 - - -# ts -ts_specs: - max_steps_scale: 2 - stable_iterations_scale: 0.2 - - -# popstar -popstar_specs: - graspit: 32 - elite: 10 - - -# ga -ga_specs: - num_generations: 100 - num_parents_mating: 50 - sol_per_pop: 100 - parent_selection_type: sss - crossover_probability: 0.8 - mutation_probability: 0.1 - - - diff --git a/facility_location/cfg/multi.yaml b/facility_location/cfg/multi.yaml deleted file mode 100644 index 23fa46fcd3da33b85ad83d29be315a34c7d10d62..0000000000000000000000000000000000000000 --- a/facility_location/cfg/multi.yaml +++ /dev/null @@ -1,69 +0,0 @@ -# env -env_specs: - region: - min_n: 20 - max_n: 50 - min_p_ratio: 0.1 - max_p_ratio: 0.4 - max_steps_scale: 3 - tabu_time: 3 - tabu_stable_steps_scale: 0.1 - popstar: false - -multi: - nps: [(100,10),(100,20),(100,30)] - number: True - conflict: False - -# evaluation -eval_specs: - region: - seed: 12345 - val_num_cases: 100 - test_num_cases: 100 - val_np: !!python/tuple [50, 10] - test_np: - - !!python/tuple [50, 5] - - !!python/tuple [100, 10] - - !!python/tuple [400, 50] - - -# agent -agent_specs: - policy_feature_dim: 32 - value_feature_dim: 32 - policy_hidden_units: !!python/tuple [32, 32, 1] - value_hidden_units: !!python/tuple [32, 32, 1] - -# mlp -mlp_specs: - hidden_units: !!python/tuple [32, 32] - -gnn_specs: - num_gnn_layers: 2 - node_dim: 32 - - -# ts -ts_specs: - max_steps_scale: 2 - stable_iterations_scale: 0.2 - - -# popstar -popstar_specs: - graspit: 32 - elite: 10 - - -# ga -ga_specs: - num_generations: 100 - num_parents_mating: 50 - sol_per_pop: 100 - parent_selection_type: sss - crossover_probability: 0.8 - mutation_probability: 0.1 - - - diff --git a/facility_location/cfg/plot.yaml b/facility_location/cfg/plot.yaml index a0beba1b6c88bbcd7bb069306f5dd25fa848d5b3..231d4c9640d28912d500e817f94f18714a437250 100644 --- a/facility_location/cfg/plot.yaml +++ b/facility_location/cfg/plot.yaml @@ -1,18 +1,18 @@ -# env + env_specs: region: min_n: 20 max_n: 50 min_p_ratio: 0.1 max_p_ratio: 0.4 - max_steps_scale: 3 - tabu_time: 1 + max_steps_scale: 0.5 + tabu_time: 3 tabu_stable_steps_scale: 0.2 popstar: false # evaluation eval_specs: - region: test + region: seed: 12345 max_nodes: 2488 max_edges: 5000 diff --git a/facility_location/cfg/popstar.yaml b/facility_location/cfg/popstar.yaml deleted file mode 100644 index 8b1bcf81157bee90e988c16d875bd090794df050..0000000000000000000000000000000000000000 --- a/facility_location/cfg/popstar.yaml +++ /dev/null @@ -1,63 +0,0 @@ -# env -env_specs: - region: - min_n: 20 - max_n: 50 - min_p_ratio: 0.1 - max_p_ratio: 0.4 - max_steps_scale: 3 - tabu_time: 3 - tabu_stable_steps_scale: 0.1 - popstar: False - -# evaluation -eval_specs: - region: - seed: 12345 - val_num_cases: 100 - test_num_cases: 100 - val_np: !!python/tuple [50, 10] - test_np: - - !!python/tuple [50, 5] - - !!python/tuple [100, 10] - - !!python/tuple [400, 50] - -# agent -agent_specs: - policy_feature_dim: 32 - value_feature_dim: 32 - policy_hidden_units: !!python/tuple [32, 32, 1] - value_hidden_units: !!python/tuple [32, 32, 1] - -# mlp -mlp_specs: - hidden_units: !!python/tuple [32, 32] - -gnn_specs: - num_gnn_layers: 2 - node_dim: 32 - - -# ts -ts_specs: - max_steps_scale: 2 - stable_iterations_scale: 0.2 - - -# popstar -popstar_specs: - graspit: 32 - elite: 10 - - -# ga -ga_specs: - num_generations: 100 - num_parents_mating: 50 - sol_per_pop: 100 - parent_selection_type: sss - crossover_probability: 0.8 - mutation_probability: 0.1 - - - diff --git a/facility_location/cfg/scale1.yaml b/facility_location/cfg/scale1.yaml deleted file mode 100644 index 784148147d69ce4e8e990fee6782df645cfde5d6..0000000000000000000000000000000000000000 --- a/facility_location/cfg/scale1.yaml +++ /dev/null @@ -1,63 +0,0 @@ -# env -env_specs: - region: - min_n: 20 - max_n: 50 - min_p_ratio: 0.1 - max_p_ratio: 0.4 - max_steps_scale: 5 - tabu_time: 1 - tabu_stable_steps_scale: 0.1 - popstar: false - -# evaluation -eval_specs: - region: - seed: 12345 - val_num_cases: 100 - test_num_cases: 100 - val_np: !!python/tuple [50, 10] - test_np: - - !!python/tuple [50, 5] - - !!python/tuple [100, 10] - - !!python/tuple [400, 50] - -# agent -agent_specs: - policy_feature_dim: 32 - value_feature_dim: 32 - policy_hidden_units: !!python/tuple [32, 32, 1] - value_hidden_units: !!python/tuple [32, 32, 1] - -# mlp -mlp_specs: - hidden_units: !!python/tuple [32, 32] - -gnn_specs: - num_gnn_layers: 2 - node_dim: 32 - - -# ts -ts_specs: - max_steps_scale: 2 - stable_iterations_scale: 0.2 - - -# popstar -popstar_specs: - graspit: 32 - elite: 10 - - -# ga -ga_specs: - num_generations: 100 - num_parents_mating: 50 - sol_per_pop: 100 - parent_selection_type: sss - crossover_probability: 0.8 - mutation_probability: 0.1 - - - diff --git a/facility_location/cfg/scale5.yaml b/facility_location/cfg/scale5.yaml deleted file mode 100644 index 218687eecd8f30385c823b6236606fbb0d1e91b8..0000000000000000000000000000000000000000 --- a/facility_location/cfg/scale5.yaml +++ /dev/null @@ -1,63 +0,0 @@ -# env -env_specs: - region: - min_n: 20 - max_n: 50 - min_p_ratio: 0.1 - max_p_ratio: 0.4 - max_steps_scale: 5 - tabu_time: 3 - tabu_stable_steps_scale: 0.1 - popstar: false - -# evaluation -eval_specs: - region: - seed: 12345 - val_num_cases: 100 - test_num_cases: 100 - val_np: !!python/tuple [50, 10] - test_np: - - !!python/tuple [50, 5] - - !!python/tuple [100, 10] - - !!python/tuple [400, 50] - -# agent -agent_specs: - policy_feature_dim: 32 - value_feature_dim: 32 - policy_hidden_units: !!python/tuple [32, 32, 1] - value_hidden_units: !!python/tuple [32, 32, 1] - -# mlp -mlp_specs: - hidden_units: !!python/tuple [32, 32] - -gnn_specs: - num_gnn_layers: 2 - node_dim: 32 - - -# ts -ts_specs: - max_steps_scale: 2 - stable_iterations_scale: 0.2 - - -# popstar -popstar_specs: - graspit: 32 - elite: 10 - - -# ga -ga_specs: - num_generations: 100 - num_parents_mating: 50 - sol_per_pop: 100 - parent_selection_type: sss - crossover_probability: 0.8 - mutation_probability: 0.1 - - - diff --git a/facility_location/cfg/tabu0.yaml b/facility_location/cfg/tabu0.yaml deleted file mode 100644 index 0b76c75868ab67371a455d90aec0b2a3504a150d..0000000000000000000000000000000000000000 --- a/facility_location/cfg/tabu0.yaml +++ /dev/null @@ -1,63 +0,0 @@ -# env -env_specs: - region: - min_n: 20 - max_n: 50 - min_p_ratio: 0.1 - max_p_ratio: 0.4 - max_steps_scale: 3 - tabu_time: 0 - tabu_stable_steps_scale: 0.1 - popstar: false - -# evaluation -eval_specs: - region: - seed: 12345 - val_num_cases: 100 - test_num_cases: 100 - val_np: !!python/tuple [50, 10] - test_np: - - !!python/tuple [50, 5] - - !!python/tuple [100, 10] - - !!python/tuple [400, 50] - -# agent -agent_specs: - policy_feature_dim: 32 - value_feature_dim: 32 - policy_hidden_units: !!python/tuple [32, 32, 1] - value_hidden_units: !!python/tuple [32, 32, 1] - -# mlp -mlp_specs: - hidden_units: !!python/tuple [32, 32] - -gnn_specs: - num_gnn_layers: 2 - node_dim: 32 - - -# ts -ts_specs: - max_steps_scale: 2 - stable_iterations_scale: 0.2 - - -# popstar -popstar_specs: - graspit: 32 - elite: 10 - - -# ga -ga_specs: - num_generations: 100 - num_parents_mating: 50 - sol_per_pop: 100 - parent_selection_type: sss - crossover_probability: 0.8 - mutation_probability: 0.1 - - - diff --git a/facility_location/cfg/tabu5.yaml b/facility_location/cfg/tabu5.yaml deleted file mode 100644 index 75219e69f45119c79212ca6069404c6ba2c5cbb7..0000000000000000000000000000000000000000 --- a/facility_location/cfg/tabu5.yaml +++ /dev/null @@ -1,63 +0,0 @@ -# env -env_specs: - region: - min_n: 20 - max_n: 50 - min_p_ratio: 0.1 - max_p_ratio: 0.4 - max_steps_scale: 3 - tabu_time: 5 - tabu_stable_steps_scale: 0.1 - popstar: false - -# evaluation -eval_specs: - region: - seed: 12345 - val_num_cases: 100 - test_num_cases: 100 - val_np: !!python/tuple [50, 10] - test_np: - - !!python/tuple [50, 5] - - !!python/tuple [100, 10] - - !!python/tuple [400, 50] - -# agent -agent_specs: - policy_feature_dim: 32 - value_feature_dim: 32 - policy_hidden_units: !!python/tuple [32, 32, 1] - value_hidden_units: !!python/tuple [32, 32, 1] - -# mlp -mlp_specs: - hidden_units: !!python/tuple [32, 32] - -gnn_specs: - num_gnn_layers: 2 - node_dim: 32 - - -# ts -ts_specs: - max_steps_scale: 2 - stable_iterations_scale: 0.2 - - -# popstar -popstar_specs: - graspit: 32 - elite: 10 - - -# ga -ga_specs: - num_generations: 100 - num_parents_mating: 50 - sol_per_pop: 100 - parent_selection_type: sss - crossover_probability: 0.8 - mutation_probability: 0.1 - - - diff --git a/facility_location/cfg/uniform.yaml b/facility_location/cfg/uniform.yaml deleted file mode 100644 index c7651b4be14b3538d71ff8617283fdcfced0c1f1..0000000000000000000000000000000000000000 --- a/facility_location/cfg/uniform.yaml +++ /dev/null @@ -1,63 +0,0 @@ -# env -env_specs: - region: - min_n: 20 - max_n: 50 - min_p_ratio: 0.1 - max_p_ratio: 0.4 - max_steps_scale: 3 - tabu_time: 3 - tabu_stable_steps_scale: 0.1 - popstar: false - -# evaluation -eval_specs: - region: - seed: 12345 - val_num_cases: 100 - test_num_cases: 100 - val_np: !!python/tuple [50, 10] - test_np: - - !!python/tuple [50, 5] - - !!python/tuple [100, 10] - - !!python/tuple [400, 50] - -# agent -agent_specs: - policy_feature_dim: 32 - value_feature_dim: 32 - policy_hidden_units: !!python/tuple [32, 32, 1] - value_hidden_units: !!python/tuple [32, 32, 1] - -# mlp -mlp_specs: - hidden_units: !!python/tuple [32, 32] - -gnn_specs: - num_gnn_layers: 2 - node_dim: 32 - - -# ts -ts_specs: - max_steps_scale: 2 - stable_iterations_scale: 0.2 - - -# popstar -popstar_specs: - graspit: 32 - elite: 10 - - -# ga -ga_specs: - num_generations: 100 - num_parents_mating: 50 - sol_per_pop: 100 - parent_selection_type: sss - crossover_probability: 0.8 - mutation_probability: 0.1 - - - diff --git a/facility_location/cfg/uniform_debug.yaml b/facility_location/cfg/uniform_debug.yaml deleted file mode 100644 index 8b31c87402b22fb68bbee2207492e18c29ff1da1..0000000000000000000000000000000000000000 --- a/facility_location/cfg/uniform_debug.yaml +++ /dev/null @@ -1,64 +0,0 @@ -# env -env_specs: - min_n: 20 - max_n: 50 - min_p_ratio: 0.1 - max_p_ratio: 0.4 - max_steps_scale: 2 - tabu_time: 5 - tabu_stable_steps_scale: 0.1 - popstar: false - -# evaluation -eval_specs: - seed: 12345 - val_num_cases: 10 - test_num_cases: 1000 - val_np: !!python/tuple [50, 10] - test_np: - - !!python/tuple [50, 5] - # - !!python/tuple [100, 10] - # - !!python/tuple [400, 50] - -# agent -agent_specs: - policy_feature_dim: 32 - value_feature_dim: 32 - policy_hidden_units: !!python/tuple [32, 32, 1] - value_hidden_units: !!python/tuple [32, 32, 1] - -# mlp -mlp_specs: - hidden_units: !!python/tuple [32, 32] - -gnn_specs: - num_gnn_layers: 2 - node_dim: 32 - - -# ts -ts_specs: - max_steps_scale: 2 - stable_iterations_scale: 0.2 - - -# popstar -popstar_specs: - graspit: 32 - elite: 10 - - -# ga -ga_specs: - num_generations: 100 - num_parents_mating: 50 - sol_per_pop: 100 - parent_selection_type: sss - crossover_probability: 0.8 - mutation_probability: 0.1 - -# tabu -tabu_specs: - tabu_time: 5 - tabu_stable_steps_scale: 0.1 - diff --git a/facility_location/env/__pycache__/__init__.cpython-39.pyc b/facility_location/env/__pycache__/__init__.cpython-39.pyc index e30f02eaca21ef7850b689692d1d3d0149a4ba31..7099f2203514bcd9c36080712fd47341686fdad1 100644 Binary files a/facility_location/env/__pycache__/__init__.cpython-39.pyc and b/facility_location/env/__pycache__/__init__.cpython-39.pyc differ diff --git a/facility_location/env/__pycache__/facility_location_client.cpython-310.pyc b/facility_location/env/__pycache__/facility_location_client.cpython-310.pyc index 2a16a8919af5d614c801bedd261980add59369c6..2e8307acbddc9ab6f90b5fca5c6bc76b76b788f1 100644 Binary files a/facility_location/env/__pycache__/facility_location_client.cpython-310.pyc and b/facility_location/env/__pycache__/facility_location_client.cpython-310.pyc differ diff --git a/facility_location/env/__pycache__/facility_location_client.cpython-39.pyc b/facility_location/env/__pycache__/facility_location_client.cpython-39.pyc index 2ddd5843f8a0f11a6bdb8ace22e95ab93e117a0b..b53b9dd3e4fac399c1952b9962427fc85fdcfd85 100644 Binary files a/facility_location/env/__pycache__/facility_location_client.cpython-39.pyc and b/facility_location/env/__pycache__/facility_location_client.cpython-39.pyc differ diff --git a/facility_location/env/__pycache__/obs_extractor.cpython-310.pyc b/facility_location/env/__pycache__/obs_extractor.cpython-310.pyc index 67b47448975cb07f657186b3baa508d179ee5196..be78fd4333b9202aac95a38a727f51f19d130f64 100644 Binary files a/facility_location/env/__pycache__/obs_extractor.cpython-310.pyc and b/facility_location/env/__pycache__/obs_extractor.cpython-310.pyc differ diff --git a/facility_location/env/__pycache__/obs_extractor.cpython-39.pyc b/facility_location/env/__pycache__/obs_extractor.cpython-39.pyc index 588b0e33a53d025fc4aa3288cb0506d2450b1144..c3d55eddda8a7853014dde8420f6a96d0d2a47c7 100644 Binary files a/facility_location/env/__pycache__/obs_extractor.cpython-39.pyc and b/facility_location/env/__pycache__/obs_extractor.cpython-39.pyc differ diff --git a/facility_location/env/__pycache__/pmp.cpython-310.pyc b/facility_location/env/__pycache__/pmp.cpython-310.pyc index b0e31348580af40f0eb477b95ce6da3758b7bb39..95765910c5916349f8d5f15a66ec10e9c71fffb6 100644 Binary files a/facility_location/env/__pycache__/pmp.cpython-310.pyc and b/facility_location/env/__pycache__/pmp.cpython-310.pyc differ diff --git a/facility_location/env/__pycache__/pmp.cpython-39.pyc b/facility_location/env/__pycache__/pmp.cpython-39.pyc index 4d2355b01cabf8d93c58bf1c9d458b3fdbd359f9..4da6a5ffe5785386760a369fc1b578a27d2ce8d2 100644 Binary files a/facility_location/env/__pycache__/pmp.cpython-39.pyc and b/facility_location/env/__pycache__/pmp.cpython-39.pyc differ diff --git a/facility_location/env/facility_location_client.py b/facility_location/env/facility_location_client.py index 25c58eeb01e781a1b24135145b192b994ac6613c..f929cc1b2837666403b5c090953344a5b76457e9 100644 --- a/facility_location/env/facility_location_client.py +++ b/facility_location/env/facility_location_client.py @@ -21,7 +21,6 @@ class FacilityLocationClient: def set_instance(self, points: np.ndarray, demands: np.ndarray, n: int, p: int, real: bool) -> None: self._points = points - self._demands = demands points_geom = MultiPoint(points) self._gdf = GeoDataFrame({ @@ -43,8 +42,6 @@ class FacilityLocationClient: self._loss = np.zeros(self._n) self._add_time = np.full(self._n, -np.inf) self._drop_time = np.full(self._n, -np.inf) - # self._max_add_tabu_time = min(self._cfg_tabu_time, self._n - self._p - 2) - # self._max_drop_tabu_time = min(self._cfg_tabu_time, self._p - 2) self.reset_tabu_time() def get_instance(self) -> Tuple[np.ndarray, np.ndarray, int, int]: @@ -59,48 +56,52 @@ class FacilityLocationClient: return avg_distance, avg_cost def _construct_static_graph(self) -> None: - # w = Voronoi_weights(self._points) - # self._static_graph = w.to_networkx() - # self._edges = np.array(self._static_graph .edges, dtype=np.int64) self._connection_matrix = kneighbors_graph(self._points, n_neighbors=3, mode="connectivity").toarray() self._static_graph = nx.from_numpy_matrix(self._connection_matrix) self._static_edges = np.array(self._static_graph.edges(), dtype=np.int64) - def _construct_dynamic_graph(self) -> None: + def _construct_dynamic_graph(self,stage=1) -> None: t1 = time.time() try: solution_distace_min = np.partition(self._distance_matrix[:, self._solution][self._solution, :], 3, axis=-1)[:,2] except: - print('np:',self._n, self._p) - print('sm:',self._solution.sum()) - print('sol:',np.where(self._solution)) - print('t:',self._t) raise ValueError('stop') solution_distance_matrix = np.zeros((self._n, self._n)) solution_distance_matrix[:, self._solution] = solution_distace_min solution_knearest_matrix = np.logical_and(self._distance_matrix < solution_distance_matrix, self._distance_matrix > 0) - old_tabu_mask, new_tabu_mask = self.get_tabu_mask(self._t) - solution_matrix = np.logical_and(np.logical_and(self._solution, old_tabu_mask)[:, None], (np.logical_and(~self._solution, new_tabu_mask)[None, :])) + if stage == 2: + old_facility_mask, new_facility_mask = self.get_facility_mask() + solution_matrix = np.logical_and(np.logical_and(self._solution, old_facility_mask)[:, None], (np.logical_and(~self._solution, new_facility_mask)[None, :])) + # print('solution:',self._solution) + # print('old_facility_mask:',old_facility_mask) + # print('new_facility_mask:',new_facility_mask) + else: + old_tabu_mask, new_tabu_mask = self.get_tabu_mask(self._t) + solution_matrix = np.logical_and(np.logical_and(self._solution, old_tabu_mask)[:, None], (np.logical_and(~self._solution, new_tabu_mask)[None, :])) + # print('solution:',self._solution) + # print('old_tabu_mask:',old_tabu_mask) + # print('new_tabu_mask:',new_tabu_mask) solution_matrix = np.logical_or(solution_matrix, solution_matrix.T) gainloss_matrix = np.logical_and((self._gain[:, None] > self._loss[None, :]), self._loss[None, :] > 0) graph_matrix = np.logical_and(solution_matrix, np.logical_or(gainloss_matrix, solution_knearest_matrix)) if not np.any(graph_matrix): - print('Warning: graph_matrix is empty!') - print('np:',self._n, self._p) - print('sm:',solution_matrix.sum()) - print('glm:',gainloss_matrix.sum()) - print('skm:',solution_knearest_matrix.sum()) - print('sol:',np.where(self._solution)) - print('old:',np.where(~old_tabu_mask)) - print('new:',np.where(~new_tabu_mask)) - print('t:',self._t) - if np.any(solution_matrix): graph_matrix = solution_matrix if not np.any(graph_matrix): raise ValueError('Invalid graph_matrix') - + else: + # if stage==2: + # print('[!] No solution_matrix') + # print('solution:',self._solution) + # print('old_facility_mask:',old_facility_mask) + # print('new_facility_mask:',new_facility_mask) + # else: + # print('[!] No solution_matrix') + # print('solution:',self._solution) + # print('old_tabu_mask:',old_tabu_mask) + # print('new_tabu_mask:',new_tabu_mask) + graph_matrix = self._solution[:, None] ^ self._solution[None, :] self._dynamic_graph = nx.from_numpy_matrix(graph_matrix) self._dynamic_edges = np.array(self._dynamic_graph.edges(), dtype=np.int64) @@ -114,14 +115,6 @@ class FacilityLocationClient: def get_dynamic_adjacency_list(self) -> np.ndarray: return self._dynamic_edges - # def get_degree(self) -> np.ndarray: - # return np.array(self._static_graph .degree)[:, 1] - - # def get_centrality(self) -> Tuple[np.ndarray, np.ndarray]: - # closeness = np.array(list(nx.closeness_centrality(self._static_graph).values())) - # betweenness = np.array(list(nx.betweenness_centrality(self._static_graph).values())) - # return closeness, betweenness - def compute_initial_solution(self) -> Tuple[float, np.ndarray]: self._solution = np.zeros(self._n, dtype=bool) p_0 = self._demands.argmax() @@ -137,16 +130,12 @@ class FacilityLocationClient: def compute_obj_value(self) -> float: obj_value = self._cost_matrix[:, self._solution].min(axis=-1).sum() - # import pickle - # name = sum(self._solution) - # pickle.dump(self._solution, open(f'/data2/suhongyuan/flp/data/solution/{name}.pkl', 'wb')) - # print('save') return obj_value - def compute_obj_value_from_solution(self, solution) -> float: + def compute_obj_value_from_solution(self, solution, stage=1) -> float: self._solution = solution self._init_gain_and_loss() - self._construct_dynamic_graph() + self._construct_dynamic_graph(stage) obj_value = self.compute_obj_value() return obj_value @@ -166,8 +155,9 @@ class FacilityLocationClient: # self._t = t # return self.compute_obj_value(), self._solution, {} - def swap(self, facility_pair_index: int, t: int) -> Tuple[float, np.ndarray, Dict]: + def swap(self, facility_pair_index: int, t: int, stage=1) -> Tuple[float, np.ndarray, Dict]: facility_pair = self._dynamic_edges[facility_pair_index] + # print(facility_pair) facility1 = facility_pair[0] facility2 = facility_pair[1] @@ -178,21 +168,24 @@ class FacilityLocationClient: new_facility = facility2 old_facility = facility1 else: - print(np.where(self._solution)) - warn_msg = f'Facility pair {facility_pair} is not a valid pair.' - print(warn_msg) - print(self._solution[facility1], self._solution[facility2]) - print(self._dynamic_graph.has_edge(facility1, facility2)) raise ValueError('stop') self._solution[old_facility] = False self._solution[new_facility] = True - self._old_facility_mask[new_facility] = True - self._new_facility_mask[old_facility] = True + if stage == 1: + self._old_facility_mask[new_facility] = False + self._new_facility_mask[old_facility] = True + else: + self._old_facility_mask[new_facility] = False + self._new_facility_mask[old_facility] = False self._drop_time[old_facility] = t self._add_time[new_facility] = t self._t = t - self._update_env(new_facility, old_facility) + self._solution[old_facility] = False + self._solution[new_facility] = True + # print(self._solution,old_facility,new_facility) + self._update_env(new_facility, old_facility, stage) + # print('st:',self._t) return self.compute_obj_value(), self._solution, {} @@ -251,9 +244,9 @@ class FacilityLocationClient: self._init_gain_and_loss() self._construct_dynamic_graph() - def _update_env(self, insert_facility, remove_facility): + def _update_env(self, insert_facility, remove_facility, stage): self._update_gain_and_loss(insert_facility, remove_facility) - self._construct_dynamic_graph() + self._construct_dynamic_graph(stage) def _init_gain_and_loss(self): t1 = time.time() @@ -274,8 +267,8 @@ class FacilityLocationClient: # print('init gainloss time:',t2-t1) def _update_gain_and_loss(self, insert_facility, remove_facility): - self._init_gain_and_loss() - return + # self._init_gain_and_loss() + # return t1 = time.time() diff --git a/facility_location/env/obs_extractor.py b/facility_location/env/obs_extractor.py index 172fa0f8ce6ff2cb22cf2fe69ca3f2152f7a1f1a..d111ed1b9b980e6192b65497f674356dd9650a9b 100644 --- a/facility_location/env/obs_extractor.py +++ b/facility_location/env/obs_extractor.py @@ -29,11 +29,8 @@ class ObsExtractor: virtual_node_x = 0.5 virtual_node_y = 0.5 virtual_node_demand = 1 - # virtual_node_degree = 1 virtual_node_avg_distance = 0 virtual_node_avg_cost = 0 - # virtual_node_closeness_centrality = 1 - # virtual_node_betweenness_centrality = 1 self._virtual_dynamic_node_feature = np.array([ virtual_node_facility, virtual_node_distance_min, @@ -47,11 +44,8 @@ class ObsExtractor: virtual_node_x, virtual_node_y, virtual_node_demand, - # virtual_node_degree, virtual_node_avg_distance, virtual_node_avg_cost, - # virtual_node_closeness_centrality, - # virtual_node_betweenness_centrality, ], dtype=np.float32) self._virtual_node_feature = np.concatenate([ self._virtual_dynamic_node_feature, @@ -79,23 +73,15 @@ class ObsExtractor: print(n, self._node_range) # raise ValueError('The number of nodes exceeds the maximum limit.') self._n = n - # degree = self._flc.get_degree() - # degree = degree/np.max(degree) avg_distance, avg_cost = self._flc.get_avg_distance_and_cost() avg_distance = avg_distance / np.max(avg_distance) avg_cost = avg_cost / np.max(avg_cost) - # closeness_centrality, betweenness_centrality = self._flc.get_centrality() - # closeness_centrality = closeness_centrality/np.max(closeness_centrality) - # betweenness_centrality = betweenness_centrality/np.max(betweenness_centrality) self._static_node_features = np.stack([ xy[:, 0], xy[:, 1], demands, - # degree, avg_distance, avg_cost, - # closeness_centrality, - # betweenness_centrality, ], axis=-1).astype(np.float32) static_adjacency_list = self._flc.get_static_adjacency_list() @@ -119,8 +105,6 @@ class ObsExtractor: def get_obs(self, t: int) -> Dict: obs_nodes, obs_static_edges, obs_dynamic_edges, \ obs_node_mask, obs_static_edge_mask, obs_dynamic_edges_mask = self._get_obs_graph() - # obs_old_facility_mask, obs_new_facility_mask = self._get_obs_action_mask(t) - obs = { 'node_features': obs_nodes, 'static_adjacency_list': obs_static_edges, @@ -128,9 +112,8 @@ class ObsExtractor: 'node_mask': obs_node_mask, 'static_edge_mask': obs_static_edge_mask, 'dynamic_edge_mask': obs_dynamic_edges_mask, - # 'old_facility_mask': obs_old_facility_mask, - # 'new_facility_mask': obs_new_facility_mask, } + return obs def _get_obs_graph(self) -> Tuple[np.ndarray, np.ndarray, np.ndarray, np.ndarray]: @@ -166,7 +149,6 @@ class ObsExtractor: # return obs_nodes, obs_static_edges, obs_node_mask, obs_edge_mask def _get_obs_action_mask(self, t: int) -> Tuple[np.ndarray, np.ndarray]: - # facility_mask = self._flc.get_current_solution() old_facility_mask, new_facility_mask = self._flc.get_facility_mask() old_tabu_mask, new_tabu_mask = self._flc.get_tabu_mask(t) self._old_facility_mask[1:self._n+1] = np.logical_and(old_facility_mask, old_tabu_mask) diff --git a/facility_location/env/tests/p-median.ipynb b/facility_location/env/tests/p-median.ipynb deleted file mode 100644 index c3c480fd9610d45567f0982f4c4dd53c5b1319aa..0000000000000000000000000000000000000000 --- a/facility_location/env/tests/p-median.ipynb +++ /dev/null @@ -1,844 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "7eeeee9f", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/mas/.local/lib/python3.9/site-packages/geopandas/_compat.py:112: UserWarning: The Shapely GEOS version (3.10.3-CAPI-1.16.1) is incompatible with the GEOS version PyGEOS was compiled with (3.10.1-CAPI-1.16.0). Conversions between both will be slow.\n", - " warnings.warn(\n", - "/home/mas/.local/lib/python3.9/site-packages/spaghetti/network.py:39: FutureWarning: The next major release of pysal/spaghetti (2.0.0) will drop support for all ``libpysal.cg`` geometries. This change is a first step in refactoring ``spaghetti`` that is expected to result in dramatically reduced runtimes for network instantiation and operations. Users currently requiring network and point pattern input as ``libpysal.cg`` geometries should prepare for this simply by converting to ``shapely`` geometries.\n", - " warnings.warn(f\"{dep_msg}\", FutureWarning)\n" - ] - } - ], - "source": [ - "from spopt.locate import PMedian\n", - "from spopt.locate.util import simulated_geo_points\n", - "\n", - "import numpy\n", - "import geopandas\n", - "import pulp\n", - "import spaghetti\n", - "from shapely.geometry import Point\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "2f713cf7", - "metadata": {}, - "outputs": [], - "source": [ - "CLIENT_COUNT = 100 # quantity demand points\n", - "FACILITY_COUNT = 5 # quantity supply points\n", - "\n", - "P_FACILITIES = 4\n", - "\n", - "# Random seeds for reproducibility\n", - "CLIENT_SEED = 5\n", - "FACILITY_SEED = 6\n", - "\n", - "solver = pulp.PULP_CBC_CMD(msg=False) # see solvers available in pulp reference" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "ad195357", - "metadata": {}, - "outputs": [], - "source": [ - "lattice = spaghetti.regular_lattice((0, 0, 10, 10), 9, exterior=True)\n", - "ntw = spaghetti.Network(in_data=lattice)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "3f962150", - "metadata": {}, - "outputs": [], - "source": [ - "street = spaghetti.element_as_gdf(ntw, arcs=True)\n", - "\n", - "street_buffered = geopandas.GeoDataFrame(\n", - " geopandas.GeoSeries(street[\"geometry\"].buffer(0.2).unary_union),\n", - " crs=street.crs,\n", - " columns=[\"geometry\"],\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "edcd799b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaAAAAGdCAYAAABU0qcqAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/NK7nSAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAasUlEQVR4nO3de2zV9f3H8Vdpdw6t6TmKjEK1SGdYsICgFomr2TQlNgSNZMkyk7o0muiiZVCbqLBBjQgWXMYalYCYTF3GRbMN3TDKSKcQI5eWi4OwcYnMMV3pTOScypnn2Pbz+2Ph8KvQ1bbfc96fts9H0j/OaT2fV0/qeeYcTtoc55wTAABZNsp6AABgZCJAAAATBAgAYIIAAQBMECAAgAkCBAAwQYAAACYIEADARJ71gK/q7u7WJ598osLCQuXk5FjPAQD0k3NOHR0dKi4u1qhRvT/P8S5An3zyiUpKSqxnAAAG6fTp07r66qt7/bx3ASosLJT03+GRSMR4DQCgv+LxuEpKStKP573xLkDnX3aLRCIECACGsL7+GYU3IQAATBAgAIAJAgQAMEGAAAAmCBAAwAQBAgCYIEAAABMECABgggABAEz0O0C7du3SXXfdpeLiYuXk5Oj111/v8XnnnBoaGjRhwgTl5+drzpw5OnHiRFB7AQDDRL8DdO7cOc2YMUNr16695OefeeYZPfvss1q/fr327t2ryy67TFVVVfriiy8GPRYAMHz0+3fBzZ07V3Pnzr3k55xzampq0tKlS3X33XdLkn7961+rqKhIr7/+uu65557Bre2HRKoza2cBwHBSEMrOrwkN9JRTp06pra1Nc+bMSV8XjUY1e/Zs7d69+5IBSiaTSiaT6cvxeDyQLWUN2wO5HQAYaf6+al5Wzgn0TQhtbW2SpKKioh7XFxUVpT/3VY2NjYpGo+mPwf4toESqU5MWvzmo2wCAkWzS4jez8iqS+Z9jWLJkierr69OXz/8diSC0Lq3M2lPJr0qkOlW+otl0hw8b2OHfBl92+LCBHb1vyIZAv8Px48dLks6cOaMJEyakrz9z5oxmzpx5yf8mHA4rHA4HOSOtIJRn9sPk2w4fNrDDvw2+7PBhAzuyL9CX4EpLSzV+/Hg1N18oaDwe1969e3XLLbcEeRQAYIjrd2I///xznTx5Mn351KlTOnTokMaMGaOJEyeqrq5OK1as0OTJk1VaWqply5apuLhY8+fPD3I3AGCI63eAWltbdfvtt6cvn//3m5qaGr388st67LHHdO7cOT344IM6e/asbr31Vr399tsaPXp0cKsBAENevwN02223yTnX6+dzcnK0fPlyLV++fFDDAADDG78LDgBgggABAEwQIACACQIEADBBgAAAJggQAMAEAQIAmCBAAAATBAgAYIIAAQBMECAAgAkCBAAwQYAAACYIEADABAECAJggQAAAEwQIAGCCAAEATBAgAIAJAgQAMEGAAAAmCBAAwAQBAgCYIEAAABMECABgIs96QCYlUp1enG21w4cN7PBvgy87fNjAjt43ZEOOc85l9cQ+xONxRaNRxWIxRSKRfv/3iVSnyhq2Z2AZAIwcR5dXqSA0sOcoX/dxnJfgAAAmhvVLcK1LKwdc8MFKpDpVvqLZdIcPG9jh3wZfdviwgR29b8iGYR2gglCe2Q+Tbzt82MAO/zb4ssOHDezIPl6CAwCYIEAAABMECABgggABAEwQIACACQIEADBBgAAAJggQAMAEAQIAmCBAAAATBAgAYIIAAQBMECAAgAkCBAAwQYAAACYIEADABAECAJggQAAAEwQIAGCCAAEATBAgAIAJAgQAMEGAAAAmCBAAwAQBAgCYIEAAABMECABgIvAAdXV1admyZSotLVV+fr6uvfZaPfXUU3LOBX0UAGAIywv6BlevXq1169bplVde0dSpU9Xa2qr77rtP0WhUCxcuDPo4AMAQFXiA3n//fd19992aN2+eJGnSpEnavHmz9u3bF/RRfUqkOrN+5qXOttrhwwZ2+LfBlx0+bGBH7xuyIccF/NrY008/rQ0bNuhPf/qTvv3tb+uDDz7QHXfcoTVr1qi6uvqir08mk0omk+nL8XhcJSUlisViikQi/T4/kepUWcP2QX0PADDSHV1epYLQwJ6jxONxRaPRPh/HA38GtHjxYsXjcU2ZMkW5ubnq6urSypUrLxkfSWpsbNSTTz4Z9AwAgOcCD9Brr72mjRs3atOmTZo6daoOHTqkuro6FRcXq6am5qKvX7Jkierr69OXzz8DCkLr0soBF3ywEqlOla9oNt3hwwZ2+LfBlx0+bGBH7xuyIfDv8NFHH9XixYt1zz33SJKmT5+ujz76SI2NjZcMUDgcVjgcDnqGJKkglGf2w+TbDh82sMO/Db7s8GEDO7Iv8LdhJxIJjRrV82Zzc3PV3d0d9FEAgCEs8MTeddddWrlypSZOnKipU6fq4MGDWrNmje6///6gjwIADGGBB+i5557TsmXL9PDDD6u9vV3FxcX68Y9/rIaGhqCPAgAMYYEHqLCwUE1NTWpqagr6pgEAwwi/Cw4AYIIAAQBMECAAgAkCBAAwQYAAACYIEADABAECAJggQAAAEwQIAGCCAAEATBAgAIAJAgQAMEGAAAAmCBAAwAQBAgCYIEAAABMECABgggABAEwQIACACQIEADBBgAAAJggQAMAEAQIAmCBAAAATedYDMimR6vTibKsdPmxgh38bfNnhwwZ29L4hG3Kccy6rJ/YhHo8rGo0qFospEon0+79PpDpV1rA9A8sAYOQ4urxKBaGBPUf5uo/jvAQHADAxrF+Ca11aOeCCD1Yi1anyFc2mO3zYwA7/Nviyw4cN7Oh9QzYM6wAVhPLMfph82+HDBnb4t8GXHT5sYEf28RIcAMAEAQIAmCBAAAATBAgAYIIAAQBMECAAgAkCBAAwQYAAACYIEADABAECAJggQAAAEwQIAGCCAAEATBAgAIAJAgQAMEGAAAAmCBAAwAQBAgCYIEAAABMECABgggABAEwQIACACQIEADBBgAAAJggQAMAEAQIAmCBAAAATGQnQxx9/rHvvvVdXXnml8vPzNX36dLW2tmbiKADAEJUX9A1+9tlnqqio0O2336633npL3/zmN3XixAldccUVQR8FABjCAg/Q6tWrVVJSopdeeil9XWlpadDHfC2JVKfJuV8922qHDxvY4d8GX3b4sIEdvW/IhhznnAvyBsvKylRVVaV//vOf2rlzp6666io9/PDDeuCBBy759clkUslkMn05Ho+rpKREsVhMkUik3+cnUp0qa9g+4P0AAOno8ioVhAb2HCUejysajfb5OB74vwF9+OGHWrdunSZPnqzt27froYce0sKFC/XKK69c8usbGxsVjUbTHyUlJUFPAgB4KPBnQKFQSOXl5Xr//ffT1y1cuFAtLS3avXv3RV+fyWdArUsrB1zwwUqkOlW+otl0hw8b2OHfBl92+LCBHb1vyMYzoMC/wwkTJqisrKzHddddd51+97vfXfLrw+GwwuFw0DMkSQWhPLMfJt92+LCBHf5t8GWHDxvYkX2BvwRXUVGhY8eO9bju+PHjuuaaa4I+CgAwhAUeoEceeUR79uzR008/rZMnT2rTpk3asGGDamtrgz4KADCEBR6gWbNmaevWrdq8ebOmTZump556Sk1NTaqurg76KADAEJaRFxnvvPNO3XnnnZm4aQDAMMHvggMAmCBAAAATBAgAYIIAAQBMECAAgAkCBAAwQYAAACYIEADABAECAJggQAAAEwQIAGCCAAEATBAgAIAJAgQAMEGAAAAmCBAAwAQBAgCYIEAAABMECABgggABAEwQIACACQIEADBBgAAAJggQAMBEnvWATEqkOr0422qHDxvY4d8GX3b4sIEdvW/IhhznnMvqiX2Ix+OKRqOKxWKKRCL9/u8TqU6VNWzPwDIAGDmOLq9SQWhgz1G+7uM4L8EBAEwM65fgWpdWDrjgg5VIdap8RbPpDh82sMO/Db7s8GEDO3rfkA3DOkAFoTyzHybfdviwgR3+bfBlhw8b2JF9vAQHADBBgAAAJggQAMAEAQIAmCBAAAATBAgAYIIAAQBMECAAgAkCBAAwQYAAACYIEADABAECAJggQAAAEwQIAGCCAAEATBAgAIAJAgQAMEGAAAAmCBAAwAQBAgCYIEAAABMECABgggABAEwQIACACQIEADBBgAAAJggQAMBExgO0atUq5eTkqK6uLtNHAQCGkIwGqKWlRS+88IKuv/76TB4DABiC8jJ1w59//rmqq6v14osvasWKFZk65n9KpDpNzv3q2VY7fNjADv82+LLDhw3s6H1DNuQ451wmbrimpkZjxozRL3/5S912222aOXOmmpqaLvq6ZDKpZDKZvhyPx1VSUqJYLKZIJNLvcxOpTpU1bB/MdAAY8Y4ur1JBaGDPUeLxuKLRaJ+P4xl5BrRlyxYdOHBALS0tfX5tY2OjnnzyyUzMAAB4LPAAnT59WosWLdKOHTs0evToPr9+yZIlqq+vT18+/wwoCK1LKwdc8MFKpDpVvqLZdIcPG9jh3wZfdviwgR29b8iGwL/D/fv3q729XTfeeGP6uq6uLu3atUvPP/+8ksmkcnNz058Lh8MKh8NBz5AkFYTyzH6YfNvhwwZ2+LfBlx0+bGBH9gX+HVZWVurw4cM9rrvvvvs0ZcoUPf744z3iAwAYuQIPUGFhoaZNm9bjussuu0xXXnnlRdcDAEYufhMCAMBEVl5kfPfdd7NxDABgCOEZEADABAECAJggQAAAEwQIAGCCAAEATBAgAIAJAgQAMEGAAAAmCBAAwAQBAgCYIEAAABMECABgggABAEwQIACACQIEADBBgAAAJggQAMAEAQIAmCBAAAATBAgAYIIAAQBMECAAgAkCBAAwQYAAACYIEADARJ71gExKpDq9ONtqhw8b2OHfBl92+LCBHb1vyIYc55zL6ol9iMfjikajisViikQi/f7vE6lOlTVsz8AyABg5ji6vUkFoYM9Rvu7jOC/BAQBMDOuX4FqXVg644IOVSHWqfEWz6Q4fNrDDvw2+7PBhAzt635ANwzpABaE8sx8m33b4sIEd/m3wZYcPG9iRfbwEBwAwQYAAACYIEADABAECAJggQAAAEwQIAGCCAAEATBAgAIAJAgQAMEGAAAAmCBAAwAQBAgCYIEAAABMECABgggABAEwQIACACQIEADBBgAAAJggQAMAEAQIAmCBAAAATBAgAYIIAAQBMECAAgAkCBAAwQYAAACYCD1BjY6NmzZqlwsJCjRs3TvPnz9exY8eCPgYAMMQFHqCdO3eqtrZWe/bs0Y4dO/Tll1/qjjvu0Llz54I+CgAwhOUFfYNvv/12j8svv/yyxo0bp/379+u73/1u0Mf9T4lUZ1bP6+1sqx0+bGCHfxt82eHDBnb0viEbcpxzLpMHnDx5UpMnT9bhw4c1bdq0iz6fTCaVTCbTl+PxuEpKShSLxRSJRPp9XiLVqbKG7YPaDAAj3dHlVSoIDew5SjweVzQa7fNxPKNvQuju7lZdXZ0qKiouGR/pv/9mFI1G0x8lJSWZnAQA8ETgL8H9f7W1tTpy5Ijee++9Xr9myZIlqq+vT18+/wwoCK1LKwdc8MFKpDpVvqLZdIcPG9jh3wZfdviwgR29b8iGjH2HCxYs0LZt27Rr1y5dffXVvX5dOBxWOBzOyIaCUJ7ZD5NvO3zYwA7/Nviyw4cN7Mi+wL9D55x+8pOfaOvWrXr33XdVWloa9BEAgGEg8ADV1tZq06ZNeuONN1RYWKi2tjZJUjQaVX5+ftDHAQCGqMDfhLBu3TrFYjHddtttmjBhQvrj1VdfDfooAMAQlpGX4AAA6Au/Cw4AYIIAAQBMECAAgAkCBAAwQYAAACYIEADABAECAJggQAAAEwQIAGCCAAEATBAgAIAJAgQAMEGAAAAmCBAAwAQBAgCYIEAAABMECABgggABAEwQIACACQIEADBBgAAAJggQAMAEAQIAmCBAAAATBAgAYCLPekAmJVKdXpxttcOHDezwb4MvO3zYwI7eN2RDjnPOZfXEPsTjcUWjUcViMUUikX7/94lUp8oatmdgGQCMHEeXV6kgNLDnKF/3cZyX4AAAJob1S3CtSysHXPDBSqQ6Vb6i2XSHDxvY4d8GX3b4sIEdvW/IhmEdoIJQntkPk287fNjADv82+LLDhw3syD5eggMAmCBAAAATBAgAYIIAAQBMECAAgAkCBAAwQYAAACYIEADABAECAJggQAAAEwQIAGCCAAEATBAgAIAJAgQAMEGAAAAmCBAAwAQBAgCYIEAAABMECABgggABAEwQIACACQIEADBBgAAAJggQAMAEAQIAmCBAAAATGQvQ2rVrNWnSJI0ePVqzZ8/Wvn37MnUUAGAIykiAXn31VdXX1+uJJ57QgQMHNGPGDFVVVam9vT0TxwEAhqC8TNzomjVr9MADD+i+++6TJK1fv15vvvmmfvWrX2nx4sWZOPKSEqnOrJ31v8622uHDBnb4t8GXHT5sYEfvG7IhxznngrzBVCqlgoIC/fa3v9X8+fPT19fU1Ojs2bN64403enx9MplUMplMX47H4yopKVEsFlMkEun3+YlUp8oatg94PwBAOrq8SgWhgT1HicfjikajfT6OB/4S3Keffqquri4VFRX1uL6oqEhtbW0XfX1jY6Oi0Wj6o6SkZFDnF4Ty9PdV8wZ1GwAwkv191bwBx6c/Mn9CH5YsWaL6+vr05fPPgAbr6PKqQd8GACBzAg/Q2LFjlZubqzNnzvS4/syZMxo/fvxFXx8OhxUOh4OekZV6AwAGLvCX4EKhkG666SY1Nzenr+vu7lZzc7NuueWWoI8DAAxRGXmaUF9fr5qaGpWXl+vmm29WU1OTzp07l35XHAAAGQnQD3/4Q/373/9WQ0OD2traNHPmTL399tsXvTEBADByBf427MH6um/fAwD4yext2AAAfB0ECABgggABAEwQIACACQIEADBBgAAAJggQAMAEAQIAmCBAAAAT3v3K6PO/mCEejxsvAQAMxPnH775+0Y53Aero6JCkQP4mEADATkdHh6LRaK+f9+53wXV3d+uTTz5RYWGhcnJyBnQb5/+o3enTp0f875PjvuiJ++MC7osLuC8uCOK+cM6po6NDxcXFGjWq93/p8e4Z0KhRo3T11VcHcluRSGTE/zCdx33RE/fHBdwXF3BfXDDY++J/PfM5jzchAABMECAAgIlhGaBwOKwnnnhC4XDYeoo57oueuD8u4L64gPvigmzeF969CQEAMDIMy2dAAAD/ESAAgAkCBAAwQYAAACaGZYDWrl2rSZMmafTo0Zo9e7b27dtnPSnrGhsbNWvWLBUWFmrcuHGaP3++jh07Zj3LC6tWrVJOTo7q6uqsp5j4+OOPde+99+rKK69Ufn6+pk+frtbWVutZJrq6urRs2TKVlpYqPz9f1157rZ566qk+f4fZcLBr1y7dddddKi4uVk5Ojl5//fUen3fOqaGhQRMmTFB+fr7mzJmjEydOBLph2AXo1VdfVX19vZ544gkdOHBAM2bMUFVVldrb262nZdXOnTtVW1urPXv2aMeOHfryyy91xx136Ny5c9bTTLW0tOiFF17Q9ddfbz3FxGeffaaKigp94xvf0FtvvaWjR4/qF7/4ha644grraSZWr16tdevW6fnnn9df//pXrV69Ws8884yee+4562kZd+7cOc2YMUNr16695OefeeYZPfvss1q/fr327t2ryy67TFVVVfriiy+CG+GGmZtvvtnV1tamL3d1dbni4mLX2NhouMpee3u7k+R27txpPcVMR0eHmzx5stuxY4f73ve+5xYtWmQ9Kesef/xxd+utt1rP8Ma8efPc/fff3+O673//+666utpokQ1JbuvWrenL3d3dbvz48e7nP/95+rqzZ8+6cDjsNm/eHNi5w+oZUCqV0v79+zVnzpz0daNGjdKcOXO0e/duw2X2YrGYJGnMmDHGS+zU1tZq3rx5PX4+Rpo//OEPKi8v1w9+8AONGzdON9xwg1588UXrWWa+853vqLm5WcePH5ckffDBB3rvvfc0d+5c42W2Tp06pba2th7/r0SjUc2ePTvQx1LvfhnpYHz66afq6upSUVFRj+uLior0t7/9zWiVve7ubtXV1amiokLTpk2znmNiy5YtOnDggFpaWqynmPrwww+1bt061dfX66c//alaWlq0cOFChUIh1dTUWM/LusWLFysej2vKlCnKzc1VV1eXVq5cqerqautpptra2iTpko+l5z8XhGEVIFxabW2tjhw5ovfee896ionTp09r0aJF2rFjh0aPHm09x1R3d7fKy8v19NNPS5JuuOEGHTlyROvXrx+RAXrttde0ceNGbdq0SVOnTtWhQ4dUV1en4uLiEXl/ZNuweglu7Nixys3N1ZkzZ3pcf+bMGY0fP95ola0FCxZo27ZteueddwL7MxdDzf79+9Xe3q4bb7xReXl5ysvL086dO/Xss88qLy9PXV1d1hOzZsKECSorK+tx3XXXXad//OMfRotsPfroo1q8eLHuueceTZ8+XT/60Y/0yCOPqLGx0XqaqfOPl5l+LB1WAQqFQrrpppvU3Nycvq67u1vNzc265ZZbDJdln3NOCxYs0NatW/XnP/9ZpaWl1pPMVFZW6vDhwzp06FD6o7y8XNXV1Tp06JByc3OtJ2ZNRUXFRW/HP378uK655hqjRbYSicRFfzAtNzdX3d3dRov8UFpaqvHjx/d4LI3H49q7d2+wj6WBvZ3BE1u2bHHhcNi9/PLL7ujRo+7BBx90l19+uWtra7OellUPPfSQi0aj7t1333X/+te/0h+JRMJ6mhdG6rvg9u3b5/Ly8tzKlSvdiRMn3MaNG11BQYH7zW9+Yz3NRE1Njbvqqqvctm3b3KlTp9zvf/97N3bsWPfYY49ZT8u4jo4Od/DgQXfw4EEnya1Zs8YdPHjQffTRR84551atWuUuv/xy98Ybb7i//OUv7u6773alpaXuP//5T2Abhl2AnHPuueeecxMnTnShUMjdfPPNbs+ePdaTsk7SJT9eeukl62leGKkBcs65P/7xj27atGkuHA67KVOmuA0bNlhPMhOPx92iRYvcxIkT3ejRo923vvUt97Of/cwlk0nraRn3zjvvXPIxoqamxjn337diL1u2zBUVFblwOOwqKyvdsWPHAt3An2MAAJgYVv8GBAAYOggQAMAEAQIAmCBAAAATBAgAYIIAAQBMECAAgAkCBAAwQYAAACYIEADABAECAJggQAAAE/8HfKGxuFXkeFUAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "street.plot()" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "150aaa75", - "metadata": {}, - "outputs": [], - "source": [ - "client_points = simulated_geo_points(street_buffered, needed=CLIENT_COUNT, seed=CLIENT_SEED)\n", - "facility_points = simulated_geo_points(\n", - " street_buffered, needed=FACILITY_COUNT, seed=FACILITY_SEED\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "dd91f7a3", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots(figsize=(6, 6))\n", - "street.plot(ax=ax, alpha=0.8, zorder=1, label='streets')\n", - "facility_points.plot(ax=ax, color='red', zorder=2, label='facility candidate sites ($n$=5)')\n", - "client_points.plot(ax=ax, color='black', label='clients points ($n$=100)')\n", - "plt.legend(loc='upper left', bbox_to_anchor=(1.05, 1))" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "149a97db", - "metadata": {}, - "outputs": [], - "source": [ - "ai = numpy.random.randint(1, 12, CLIENT_COUNT)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "319938d0", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([10, 7, 3, 6, 6, 2, 5, 6, 1, 3, 3, 4, 6, 10, 6, 3, 11,\n", - " 8, 9, 6, 7, 11, 11, 11, 4, 6, 2, 3, 4, 7, 10, 10, 9, 1,\n", - " 11, 4, 8, 5, 9, 2, 3, 5, 2, 6, 6, 7, 2, 10, 1, 6, 11,\n", - " 9, 10, 2, 3, 3, 10, 6, 11, 5, 2, 7, 4, 2, 5, 10, 9, 11,\n", - " 11, 11, 5, 7, 3, 10, 7, 3, 6, 3, 8, 6, 2, 2, 8, 6, 5,\n", - " 3, 9, 9, 8, 9, 1, 11, 9, 10, 3, 1, 8, 7, 1, 8])" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ai" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "4db73973", - "metadata": {}, - "outputs": [], - "source": [ - "ntw.snapobservations(client_points, \"clients\", attribute=True)\n", - "clients_snapped = spaghetti.element_as_gdf(\n", - " ntw, pp_name=\"clients\", snapped=True\n", - ")\n", - "\n", - "ntw.snapobservations(facility_points, \"facilities\", attribute=True)\n", - "facilities_snapped = spaghetti.element_as_gdf(\n", - " ntw, pp_name=\"facilities\", snapped=True\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "e6344eef", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots(figsize=(6, 6))\n", - "street.plot(ax=ax, alpha=0.8, zorder=1, label='streets')\n", - "facilities_snapped.plot(ax=ax, color='red', zorder=2, label='facility candidate sites ($n$=5)')\n", - "clients_snapped.plot(ax=ax, color='black', label='clients points ($n$=100)')\n", - "plt.legend(loc='upper left', bbox_to_anchor=(1.05, 1))" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "c31520e0", - "metadata": {}, - "outputs": [], - "source": [ - "cost_matrix = ntw.allneighbordistances(\n", - " sourcepattern=ntw.pointpatterns[\"clients\"],\n", - " destpattern=ntw.pointpatterns[\"facilities\"],\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "2356f1ad", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[12.60302601, 3.93598651, 8.16571655, 6.04319467, 5.65607701],\n", - " [13.10096347, 4.43392397, 8.66365401, 6.54113213, 5.15813955],\n", - " [ 6.9095462 , 4.2425067 , 2.47223674, 0.34971486, 5.34955682],\n", - " [ 2.98196832, 7.84581224, 3.45534114, 3.57786302, 6.25374871],\n", - " [ 7.5002892 , 6.32806975, 4.55779979, 6.43527791, 11.75939222]])" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cost_matrix[:5,:]" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "30d445e2", - "metadata": {}, - "outputs": [], - "source": [ - "pmedian_from_cost_matrix = PMedian.from_cost_matrix(cost_matrix, ai, p_facilities=P_FACILITIES)\n", - "pmedian_from_cost_matrix = pmedian_from_cost_matrix.solve(solver)" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "2965c681", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pmedian_from_cost_matrix" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "d4e09d00", - "metadata": {}, - "outputs": [], - "source": [ - "clients_snapped['weights'] = ai" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "1441aed8", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
idgeometrycomp_labelweights
00POINT (2.00000 8.85562)010
11POINT (2.00000 9.35355)07
22POINT (5.00000 6.16214)03
33POINT (7.76544 5.00000)06
44POINT (3.00000 1.75230)06
...............
9595POINT (0.00000 4.30248)01
9696POINT (6.00000 3.42781)08
9797POINT (2.20274 0.00000)07
9898POINT (7.40431 10.00000)01
9999POINT (0.00000 8.73462)08
\n", - "

100 rows × 4 columns

\n", - "
" - ], - "text/plain": [ - " id geometry comp_label weights\n", - "0 0 POINT (2.00000 8.85562) 0 10\n", - "1 1 POINT (2.00000 9.35355) 0 7\n", - "2 2 POINT (5.00000 6.16214) 0 3\n", - "3 3 POINT (7.76544 5.00000) 0 6\n", - "4 4 POINT (3.00000 1.75230) 0 6\n", - ".. .. ... ... ...\n", - "95 95 POINT (0.00000 4.30248) 0 1\n", - "96 96 POINT (6.00000 3.42781) 0 8\n", - "97 97 POINT (2.20274 0.00000) 0 7\n", - "98 98 POINT (7.40431 10.00000) 0 1\n", - "99 99 POINT (0.00000 8.73462) 0 8\n", - "\n", - "[100 rows x 4 columns]" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "clients_snapped" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "143db0bd", - "metadata": {}, - "outputs": [], - "source": [ - "pmedian_from_geodataframe = PMedian.from_geodataframe(\n", - " clients_snapped,\n", - " facilities_snapped,\n", - " \"geometry\",\n", - " \"geometry\",\n", - " \"weights\",\n", - " p_facilities=P_FACILITIES,\n", - " distance_metric=\"euclidean\"\n", - ")\n", - "pmedian_from_geodataframe = pmedian_from_geodataframe.solve(solver)" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "2823de09", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pmedian_from_geodataframe" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "576bf438", - "metadata": {}, - "outputs": [], - "source": [ - "from matplotlib.patches import Patch\n", - "import matplotlib.lines as mlines\n", - "\n", - "dv_colors = [\n", - " \"darkcyan\",\n", - " \"mediumseagreen\",\n", - " \"cyan\",\n", - " \"darkslategray\",\n", - " \"lightskyblue\",\n", - " \"limegreen\",\n", - " \"darkgoldenrod\",\n", - " \"peachpuff\",\n", - " \"coral\",\n", - " \"mediumvioletred\",\n", - " \"blueviolet\",\n", - " \"fuchsia\",\n", - " \"thistle\",\n", - " \"lavender\",\n", - " \"saddlebrown\",\n", - "]\n", - "\n", - "def plot_results(model, facility_points):\n", - " arr_points = []\n", - " fac_sites = []\n", - "\n", - " for i in range(FACILITY_COUNT):\n", - " if model.fac2cli[i]:\n", - "\n", - " geom = client_points.iloc[model.fac2cli[i]]['geometry']\n", - " arr_points.append(geom)\n", - " fac_sites.append(i)\n", - "\n", - " fig, ax = plt.subplots(figsize=(6, 6))\n", - " legend_elements = []\n", - "\n", - " street.plot(ax=ax, alpha=1, color='black', zorder=1)\n", - " legend_elements.append(mlines.Line2D(\n", - " [],\n", - " [],\n", - " color='black',\n", - " label='streets',\n", - " ))\n", - "\n", - " facility_points.plot(ax=ax, color='brown', marker=\"*\", markersize=80, zorder=2)\n", - " legend_elements.append(mlines.Line2D(\n", - " [],\n", - " [],\n", - " color='brown',\n", - " marker=\"*\",\n", - " linewidth=0,\n", - " label=f'facility sites ($n$={FACILITY_COUNT})'\n", - " ))\n", - "\n", - " for i in range(len(arr_points)):\n", - " gdf = geopandas.GeoDataFrame(arr_points[i])\n", - "\n", - " label = f\"coverage_points by y{fac_sites[i]}\"\n", - " legend_elements.append(Patch(facecolor=dv_colors[i], edgecolor=\"k\", label=label))\n", - "\n", - " gdf.plot(ax=ax, zorder=3, alpha=0.7, edgecolor=\"k\", color=dv_colors[i], label=label)\n", - " facility_points.iloc[[fac_sites[i]]].plot(ax=ax,\n", - " marker=\"*\",\n", - " markersize=200 * 3.0,\n", - " alpha=0.8,\n", - " zorder=4,\n", - " edgecolor=\"k\",\n", - " facecolor=dv_colors[i])\n", - "\n", - " legend_elements.append(mlines.Line2D(\n", - " [],\n", - " [],\n", - " color=dv_colors[i],\n", - " marker=\"*\",\n", - " ms=20 / 2,\n", - " markeredgecolor=\"k\",\n", - " linewidth=0,\n", - " alpha=0.8,\n", - " label=f\"y{fac_sites[i]} facility selected\",\n", - " ))\n", - "\n", - " plt.title(\"P-Median\", fontweight=\"bold\")\n", - " plt.legend(handles = legend_elements, loc='upper left', bbox_to_anchor=(1.05, 1))" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "f44883a0", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "pmedian_from_cost_matrix.facility_client_array()\n", - "plot_results(pmedian_from_cost_matrix, facility_points)" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "1d7004a1", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "pmedian_from_geodataframe.facility_client_array()\n", - "plot_results(pmedian_from_geodataframe, facility_points)" - ] - }, - { - "cell_type": "code", - "execution_count": 86, - "id": "28fe48ea", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "tensor([[0.5457, 0.5548, 0.1983, 0.3152],\n", - " [0.6208, 0.6361, 0.0730, 0.9960],\n", - " [0.6005, 0.1485, 0.6787, 0.5967],\n", - " [0.0333, 0.5030, 0.1632, 0.9664],\n", - " [0.1492, 0.1513, 0.8349, 0.5289],\n", - " [0.6400, 0.2407, 0.3101, 0.1079],\n", - " [0.4121, 0.3820, 0.5861, 0.4626],\n", - " [0.2287, 0.5469, 0.4410, 0.4043],\n", - " [0.7566, 0.1218, 0.7986, 0.6323],\n", - " [0.2018, 0.0263, 0.5250, 0.2097]])\n", - "列表中前 2 小的元素是: tensor([0.3152, 0.6208, 0.5967, 0.1632, 0.1513, 0.2407, 0.4121, 0.4043, 0.6323,\n", - " 0.2018])\n" - ] - } - ], - "source": [ - "import torch\n", - "\n", - "data = torch.rand(10,4)\n", - "print(data)\n", - "\n", - "\n", - "k = 2\n", - "kth_value, _ = torch.kthvalue(data, k, dim=-1)\n", - "print(f\"列表中前 {k} 小的元素是:\", kth_value)" - ] - }, - { - "cell_type": "code", - "execution_count": 94, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[0.38968234 0.11143201 0.74016789 0.66300111]\n", - " [0.40878246 0.32739181 0.0417738 0.46143845]\n", - " [0.10130232 0.73353351 0.87009698 0.61491156]\n", - " [0.35120642 0.71338086 0.31878375 0.05140663]\n", - " [0.13455389 0.56734217 0.77388818 0.33508223]\n", - " [0.00835039 0.56688948 0.6326214 0.82503588]\n", - " [0.71240377 0.66170793 0.11362722 0.01253423]\n", - " [0.48978455 0.63406997 0.29677212 0.5931813 ]\n", - " [0.75820779 0.06075951 0.72072624 0.51763802]\n", - " [0.16325037 0.27295315 0.42960651 0.28086848]]\n", - "列表中前 2 小的元素是: [[0.11143201]\n", - " [0.0417738 ]\n", - " [0.10130232]\n", - " [0.05140663]\n", - " [0.13455389]\n", - " [0.00835039]\n", - " [0.01253423]\n", - " [0.29677212]\n", - " [0.06075951]\n", - " [0.16325037]]\n" - ] - } - ], - "source": [ - "import tqdm\n", - "import pandas as pd\n", - "import json\n", - "\n", - "def get_safegraph_df_full(month):\n", - " dfs = []\n", - " dfs.append(pd.read_csv('SafeGraph_new/patterns-'+month+'-part1.csv'))\n", - " dfs.append(pd.read_csv('SafeGraph_new/patterns-'+month+'-part2.csv'))\n", - " dfs.append(pd.read_csv('SafeGraph_new/patterns-'+month+'-part3.csv'))\n", - " dfs.append(pd.read_csv('SafeGraph_new/patterns-'+month+'-part4.csv'))\n", - " dfs = pd.concat(dfs, ignore_index = True)\n", - " return dfs\n", - "\n", - "for month in ['2019-03', '2019-04', '2019-05']:\n", - " df = get_safegraph_df_full(month)\n", - " city_df = df[(df.city.isin(['Manhattan', 'Queens', 'Bronx', 'Brooklyn', 'Staten Island'])) & (df.region == 'NY')]\n", - " city_df = city_df[city_df.visitor_home_cbgs != \"{}\"]\n", - " city_df['ratio'] = city_df['raw_visit_counts'] / city_df['raw_visitor_counts']\n", - " naics_codes = []\n", - " cbgs = []\n", - " vs = []\n", - " visitors = []\n", - " # visitor_home_cbgs 这列是check-in情况，这里只是举一个例子，读取每个poi的checkin情况\n", - " for naics_code, item, r in tqdm.tqdm(zip(city_df.naics_code, city_df.visitor_home_cbgs, city_df.ratio)):\n", - " visit_dict = json.loads(item)\n", - " for k in visit_dict:\n", - " try: \n", - " cbgs.append(int(k))\n", - " naics_codes.append(naics_code)\n", - " vs.append(r * visit_dict[k])\n", - " visitors.append(visit_dict[k])\n", - " except:\n", - " pass\n", - " \n", - " cbg_to_category = pd.DataFrame({'naics_code': naics_codes, 'home_cbg': cbgs, 'visits':vs, 'visitors':visitors})\n", - " cbg_to_category = cbg_to_category[cbg_to_category.home_cbg.isin(city_cbgs_dict[city_full['newyork']])]\n", - " cbg_to_category = cbg_to_category.groupby(['naics_code', 'home_cbg'], as_index = False).agg('sum')" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "5c37ccf1", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/tmp/ipykernel_102444/2750523639.py:13: DeprecationWarning: \n", - "\n", - "The scipy.sparse array containers will be used instead of matrices\n", - "in Networkx 3.0. Use `from_scipy_sparse_array` instead.\n", - " graph = nx.from_scipy_sparse_matrix(connection_matrix)\n", - "/data2/suhongyuan/.local/lib/python3.9/site-packages/libpysal/weights/contiguity.py:641: FutureWarning: `use_index` defaults to False but will default to True in future. Set True/False directly to control this behavior and silence this warning\n", - " return cls.from_dataframe(region_df, **kwargs)\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import numpy as np\n", - "from sklearn.neighbors import kneighbors_graph\n", - "from libpysal.weights.contiguity import Voronoi as Voronoi_weights\n", - "import matplotlib.pyplot as plt\n", - "import networkx as nx\n", - " \n", - "# random generate points\n", - "points = np.random.rand(400, 2)\n", - "\n", - "# construct k-nearest graph\n", - "connection_matrix = kneighbors_graph(points, n_neighbors=2, mode=\"connectivity\")\n", - "# construct graph with position\n", - "graph = nx.from_scipy_sparse_matrix(connection_matrix)\n", - "node_attributes = {i: {'pos': list(points[i])} for i in range(len(points))}\n", - "nx.set_node_attributes(graph, node_attributes)\n", - "node_positions = nx.get_node_attributes(graph, 'pos')\n", - "\n", - "# plot\n", - "fig, ax = plt.subplots(figsize=(5, 5))\n", - "nx.draw(graph, ax=ax, pos = node_positions, node_size=20, node_color=\"r\", alpha=0.5, width=0.5)\n", - "\n", - "\n", - "w = Voronoi_weights(points)\n", - "graph = w.to_networkx()\n", - "nx.set_node_attributes(graph, node_attributes)\n", - "fig, ax = plt.subplots(figsize=(5, 5))\n", - "nx.draw(graph, ax=ax, pos = node_positions, node_size=20, node_color=\"r\", alpha=0.5, width=0.5)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/facility_location/env/tests/render.ipynb b/facility_location/env/tests/render.ipynb deleted file mode 100644 index 424ed6a0033a2e468476ba67abfbacb57a028892..0000000000000000000000000000000000000000 --- a/facility_location/env/tests/render.ipynb +++ /dev/null @@ -1,182 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "b9eb8d89", - "metadata": {}, - "outputs": [], - "source": [ - "%matplotlib inline\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "from shapely.geometry import MultiPoint\n", - "from geopandas import GeoDataFrame\n", - "from sklearn.metrics import pairwise_distances" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "73d80da3", - "metadata": {}, - "outputs": [], - "source": [ - "rng = np.random.default_rng()\n", - "n = 20\n", - "p= 4\n", - "points = rng.uniform(size=(n, 2))\n", - "demands = rng.random(size=(n,))" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "b501ce44", - "metadata": {}, - "outputs": [], - "source": [ - "points_geom = MultiPoint(points)\n", - "gdf = GeoDataFrame({\n", - " 'geometry': points_geom.geoms,\n", - " 'demand': demands,\n", - "})\n", - "distance_matrix = pairwise_distances(points)\n", - "cost_matrix = distance_matrix * demands[:, None]" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "3f7019d9", - "metadata": {}, - "outputs": [], - "source": [ - "solution = np.zeros(n, dtype=bool)\n", - "p_0 = demands.argmax()\n", - "solution[p_0] = True\n", - "for _ in range(p - 1):\n", - " p_max_cost = cost_matrix[:, solution].min(axis=-1).argmax()\n", - " solution[p_max_cost] = True\n", - "obj_values = [10, 7, 8, 4, 5]" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "36671ac3", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "DPI = 300\n", - "cm = plt.get_cmap('tab10')\n", - "fig, axs = plt.subplots(1, 2, figsize=(12, 6), dpi=DPI)\n", - "facilities = np.arange(n)[solution]\n", - "node2facility = np.arange(n)[solution][cost_matrix[:, solution].argmin(axis=-1)]\n", - "gdf['facility'] = False\n", - "gdf.loc[facilities, 'facility'] = True\n", - "gdf['assignment'] = node2facility\n", - "for i, f in enumerate(facilities):\n", - " gdf.loc[gdf['assignment']==f].plot(ax=axs[0], \n", - " zorder=2, \n", - " alpha=0.7, \n", - " edgecolor=\"k\", \n", - " color=cm(i))\n", - " gdf.loc[[f]].plot(ax=axs[0], \n", - " marker='*', \n", - " markersize=300,\n", - " zorder=3,\n", - " alpha=0.7, \n", - " edgecolor=\"k\",\n", - " color=cm(i))\n", - "axs[0].set_title(\"Facility Location\", fontweight=\"bold\")\n", - "axs[1].plot(obj_values, marker='.', markersize=10, color='k')\n", - "axs[1].set_title(\"Objective Value\", fontweight=\"bold\")\n", - "axs[1].set_xticks(np.arange(len(obj_values)))\n", - "fig.tight_layout()\n", - "plt.show()\n", - "\n", - "import io\n", - "io_buf = io.BytesIO()\n", - "fig.savefig(io_buf, format='raw', dpi=DPI)\n", - "io_buf.seek(0)\n", - "img_arr = np.reshape(np.frombuffer(io_buf.getvalue(), dtype=np.uint8),\n", - " newshape=(int(fig.bbox.bounds[3]), int(fig.bbox.bounds[2]), -1))\n", - "io_buf.close()" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "ba7f4304", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig1 = plt.figure(figsize=(12, 6))\n", - "plt.imshow(img_arr)\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "48f4c533", - "metadata": {}, - "outputs": [], - "source": [ - "plt.close()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "10420eb0", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.7" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/facility_location/env/utils/env_test.ipynb b/facility_location/env/utils/env_test.ipynb deleted file mode 100644 index d4fc68e5d3dc12e13219c770a6035a780a25d3b2..0000000000000000000000000000000000000000 --- a/facility_location/env/utils/env_test.ipynb +++ /dev/null @@ -1,890 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "b7efcd1f", - "metadata": {}, - "source": [ - "# import" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "9158b43c", - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "import os\n", - "import time\n", - "from pprint import pprint\n", - "\n", - "import warnings\n", - "warnings.filterwarnings(\"ignore\")\n", - "\n", - "sys.path.append('/Users/zhengyu/Seafile/code/workspace/flp')\n", - "root_dir = '/Users/zhengyu/Seafile/code/workspace/flp'\n", - "\n", - "from facility_location.env import PMPEnv, EvalPMPEnv\n", - "from facility_location.utils.config import Config\n", - "import numpy as np\n", - "\n", - "from stable_baselines3.common.env_checker import check_env\n", - "from stable_baselines3.common.env_util import make_vec_env\n", - "from stable_baselines3.common.vec_env import VecNormalize\n", - "from stable_baselines3.common.evaluation import evaluate_policy\n", - "from stable_baselines3 import PPO" - ] - }, - { - "cell_type": "markdown", - "id": "6f571986", - "metadata": {}, - "source": [ - "# Create environment" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "02f2f8ee", - "metadata": {}, - "outputs": [], - "source": [ - "cfg_id = 'uniform'\n", - "seed = 111\n", - "temp = False\n", - "cfg = Config(cfg_id, seed, temp, root_dir)" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "3e8662d2", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'node_features': array([[0. , 0. , 0. , 0.5 , 0.5 ,\n", - " 1. , 1. , 0. , 0. , 1. ,\n", - " 1. ],\n", - " [0. , 0.6575178 , 0.13711584, 0.50596434, 0.65811884,\n", - " 0.1008164 , 0.54545456, 0.60107946, 0.08620064, 0.8309859 ,\n", - " 0.24933964],\n", - " [1. , 0. , 0. , 0.76758087, 0.10922746,\n", - " 0.6561783 , 0.36363637, 0.7727289 , 0.72126764, 0.53636366,\n", - " 0.00705731],\n", - " [0. , 1. , 0.06074998, 0.7975965 , 0.9687459 ,\n", - " 0.02936954, 0.18181819, 0.9614667 , 0.04016788, 0.49579832,\n", - " 0. ],\n", - " [0. , 0.48622257, 0.02918286, 0.24694933, 0.19751383,\n", - " 0.02901642, 0.6363636 , 0.7171867 , 0.02960216, 0.7468355 ,\n", - " 0.27493685],\n", - " [0. , 0.5766369 , 0.8229124 , 0.33827552, 0.7154172 ,\n", - " 0.6899256 , 0.36363637, 0.6486321 , 0.63657284, 0.6210526 ,\n", - " 0.01537554],\n", - " [1. , 0. , 0. , 0.07901478, 0.41601026,\n", - " 0.55557054, 0.27272728, 0.7627677 , 0.6028079 , 0.59 ,\n", - " 0.00737187],\n", - " [1. , 0. , 0. , 0.39774472, 0.9388513 ,\n", - " 0.79706335, 0.27272728, 0.8331224 , 0.94460243, 0.53636366,\n", - " 0.01905475],\n", - " [0. , 0.74189746, 0.9584075 , 0.3054243 , 0.6089643 ,\n", - " 0.6245359 , 0.6363636 , 0.6184568 , 0.54943234, 0.8309859 ,\n", - " 0.33519018],\n", - " [0. , 0.10341953, 0.14063919, 0.7404667 , 0.07785219,\n", - " 0.65743804, 0.18181819, 0.7867026 , 0.73572046, 0.52678573,\n", - " 0. ],\n", - " [0. , 0.27995816, 0.37062618, 0.8550139 , 0.5189642 ,\n", - " 0.6400207 , 0.36363637, 0.7104464 , 0.64680415, 0.5841584 ,\n", - " 0.02234951],\n", - " [0. , 0.39133078, 0.20084313, 0.8672735 , 0.45772463,\n", - " 0.2481213 , 0.27272728, 0.7118706 , 0.25125375, 0.5566038 ,\n", - " 0.0052829 ],\n", - " [0. , 0.970515 , 1. , 0.9166752 , 0.91756344,\n", - " 0.49813703, 0.36363637, 1. , 0.708592 , 0.6020408 ,\n", - " 0.03931395],\n", - " [0. , 0.311675 , 0.3080714 , 0.25203326, 0.11097392,\n", - " 0.47785977, 0.27272728, 0.7782225 , 0.5289951 , 0.5462963 ,\n", - " 0.00282293],\n", - " [0. , 0.37068567, 0.06944361, 0.22309771, 0.4525052 ,\n", - " 0.09056858, 0.54545456, 0.64446574, 0.08302805, 0.7866667 ,\n", - " 0.1990109 ],\n", - " [0. , 0.34338763, 0.1901064 , 0.8858548 , 0.17971927,\n", - " 0.2676475 , 0.27272728, 0.81418365, 0.30997953, 0.53636366,\n", - " 0.00265355],\n", - " [0. , 0.23608306, 0.10959151, 0.764728 , 0.20384616,\n", - " 0.22442083, 0.36363637, 0.70109576, 0.22381435, 0.5462963 ,\n", - " 0.0046296 ],\n", - " [0. , 0.59689385, 0.7801952 , 0.08255004, 0.17670117,\n", - " 0.63191295, 0.27272728, 0.85292435, 0.7666819 , 0.5412844 ,\n", - " 0.00169376],\n", - " [0. , 0.13662827, 0.01055564, 0.11764991, 0.37717003,\n", - " 0.03735038, 0.36363637, 0.7322054 , 0.03890231, 0.59 ,\n", - " 0.02181718],\n", - " [0. , 0.42991328, 0.44045132, 0.4801652 , 0.78745055,\n", - " 0.49529982, 0.45454547, 0.67846423, 0.47801614, 0.64835167,\n", - " 0.06223611],\n", - " [0. , 0.6328095 , 0.52634287, 0.19037788, 0.7926286 ,\n", - " 0.40211183, 0.18181819, 0.7892626 , 0.45145637, 0.5 ,\n", - " 0. ],\n", - " [0. , 0.25331953, 0.258406 , 0.37043664, 0.8410181 ,\n", - " 0.4931568 , 0.54545456, 0.7366584 , 0.51677155, 0.5462963 ,\n", - " 0.065629 ],\n", - " [0. , 0.35688064, 0.11274768, 0.09196164, 0.55852103,\n", - " 0.15273398, 0.36363637, 0.76146775, 0.16543776, 0.64835167,\n", - " 0.04579055],\n", - " [0. , 0.6226775 , 0.12696044, 0.54963803, 0.23103805,\n", - " 0.09857263, 1. , 0.6221076 , 0.08723069, 1. ,\n", - " 1. ],\n", - " [0. , 0.62189424, 0.49510056, 0.22071615, 0.76323503,\n", - " 0.3848823 , 0.45454547, 0.74455595, 0.40763617, 0.6344086 ,\n", - " 0.11327729],\n", - " [0. , 0.49036047, 0.4861115 , 0.834864 , 0.3861944 ,\n", - " 0.47926039, 0.36363637, 0.68753767, 0.4687221 , 0.70238096,\n", - " 0.05513578],\n", - " [0. , 0.36204132, 0.00649927, 0.8252301 , 0.43909505,\n", - " 0.00867876, 0.45454547, 0.6752853 , 0.00833666, 0.72839504,\n", - " 0.07910376],\n", - " [0. , 0.42576942, 0.32761073, 0.05034951, 0.2477142 ,\n", - " 0.37199298, 0.27272728, 0.8426778 , 0.44590637, 0.5462963 ,\n", - " 0.00282293],\n", - " [0. , 0.56715965, 0.06872471, 0.68998975, 0.783386 ,\n", - " 0.05858126, 0.54545456, 0.732972 , 0.06107922, 0.65555555,\n", - " 0.16362889],\n", - " [0. , 0.3157362 , 0.4805415 , 0.7925139 , 0.23334803,\n", - " 0.7357963 , 0.45454547, 0.7035974 , 0.73642623, 0.7195122 ,\n", - " 0.15384947],\n", - " [0. , 0.52861243, 0.16494007, 0.5558051 , 0.1179803 ,\n", - " 0.1508481 , 0.27272728, 0.7005214 , 0.1503172 , 0.69411767,\n", - " 0.01027545],\n", - " [1. , 0. , 0. , 0.34777024, 0.03064746,\n", - " 0.8658344 , 0.36363637, 0.8119284 , 1. , 0.70238096,\n", - " 0.04919957],\n", - " [0. , 0.5639709 , 0.09158567, 0.361723 , 0.7156046 ,\n", - " 0.07850944, 0.45454547, 0.64102316, 0.07158846, 0.66292137,\n", - " 0.04552304],\n", - " [0. , 0.28984344, 0.47037432, 0.6718439 , 0.1751139 ,\n", - " 0.78456914, 0.54545456, 0.67714316, 0.7557169 , 0.7195122 ,\n", - " 0.24260226],\n", - " [1. , 0. , 0. , 0.75251627, 0.5647379 ,\n", - " 0.80224514, 0.54545456, 0.6492763 , 0.74094176, 0.7866667 ,\n", - " 0.22603706],\n", - " [0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. , 0. ,\n", - " 0. ],\n", - " [0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. , 0. ,\n", - " 0. ],\n", - " [0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. , 0. ,\n", - " 0. ],\n", - " [0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. , 0. ,\n", - " 0. ],\n", - " [0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. , 0. ,\n", - " 0. ],\n", - " [0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. , 0. ,\n", - " 0. ],\n", - " [0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. , 0. ,\n", - " 0. ],\n", - " [0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. , 0. ,\n", - " 0. ],\n", - " [0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. , 0. ,\n", - " 0. ],\n", - " [0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. , 0. ,\n", - " 0. ],\n", - " [0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. , 0. ,\n", - " 0. ],\n", - " [0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. , 0. ,\n", - " 0. ],\n", - " [0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. , 0. ,\n", - " 0. ],\n", - " [0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. , 0. ,\n", - " 0. ],\n", - " [0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. , 0. ,\n", - " 0. ],\n", - " [0. , 0. , 0. , 0. , 0. ,\n", - " 0. , 0. , 0. , 0. , 0. ,\n", - " 0. ]], dtype=float32),\n", - " 'adjacency_list': array([[ 0, 1],\n", - " [ 0, 2],\n", - " [ 0, 3],\n", - " [ 0, 4],\n", - " [ 0, 5],\n", - " [ 0, 6],\n", - " [ 0, 7],\n", - " [ 0, 8],\n", - " [ 0, 9],\n", - " [ 0, 10],\n", - " [ 0, 11],\n", - " [ 0, 12],\n", - " [ 0, 13],\n", - " [ 0, 14],\n", - " [ 0, 15],\n", - " [ 0, 16],\n", - " [ 0, 17],\n", - " [ 0, 18],\n", - " [ 0, 19],\n", - " [ 0, 20],\n", - " [ 0, 21],\n", - " [ 0, 22],\n", - " [ 0, 23],\n", - " [ 0, 24],\n", - " [ 0, 25],\n", - " [ 0, 26],\n", - " [ 0, 27],\n", - " [ 0, 28],\n", - " [ 0, 29],\n", - " [ 0, 30],\n", - " [ 0, 31],\n", - " [ 0, 32],\n", - " [ 0, 33],\n", - " [ 0, 34],\n", - " [ 1, 8],\n", - " [ 1, 19],\n", - " [ 1, 23],\n", - " [ 1, 28],\n", - " [ 1, 32],\n", - " [ 1, 34],\n", - " [ 2, 9],\n", - " [ 2, 15],\n", - " [ 2, 16],\n", - " [ 2, 33],\n", - " [ 3, 12],\n", - " [ 3, 28],\n", - " [ 4, 13],\n", - " [ 4, 14],\n", - " [ 4, 17],\n", - " [ 4, 18],\n", - " [ 4, 23],\n", - " [ 4, 27],\n", - " [ 4, 31],\n", - " [ 5, 8],\n", - " [ 5, 21],\n", - " [ 5, 24],\n", - " [ 5, 32],\n", - " [ 6, 14],\n", - " [ 6, 18],\n", - " [ 6, 22],\n", - " [ 7, 19],\n", - " [ 7, 21],\n", - " [ 7, 28],\n", - " [ 8, 14],\n", - " [ 8, 22],\n", - " [ 8, 23],\n", - " [ 8, 24],\n", - " [ 8, 32],\n", - " [ 9, 33],\n", - " [10, 11],\n", - " [10, 12],\n", - " [10, 26],\n", - " [10, 34],\n", - " [11, 25],\n", - " [11, 26],\n", - " [12, 28],\n", - " [12, 34],\n", - " [13, 17],\n", - " [13, 31],\n", - " [14, 18],\n", - " [14, 22],\n", - " [14, 23],\n", - " [15, 16],\n", - " [15, 29],\n", - " [16, 29],\n", - " [16, 33],\n", - " [17, 27],\n", - " [18, 27],\n", - " [19, 21],\n", - " [19, 28],\n", - " [19, 32],\n", - " [20, 21],\n", - " [20, 24],\n", - " [21, 24],\n", - " [21, 32],\n", - " [22, 24],\n", - " [23, 25],\n", - " [23, 26],\n", - " [23, 29],\n", - " [23, 30],\n", - " [23, 31],\n", - " [23, 33],\n", - " [23, 34],\n", - " [25, 26],\n", - " [25, 29],\n", - " [26, 34],\n", - " [28, 34],\n", - " [29, 33],\n", - " [30, 31],\n", - " [30, 33],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50],\n", - " [50, 50]], dtype=int32),\n", - " 'node_mask': array([ True, True, True, True, True, True, True, True, True,\n", - " True, True, True, True, True, True, True, True, True,\n", - " True, True, True, True, True, True, True, True, True,\n", - " True, True, True, True, True, True, True, True, False,\n", - " False, False, False, False, False, False, False, False, False,\n", - " False, False, False, False, False, False]),\n", - " 'edge_mask': array([ True, True, True, True, True, True, True, True, True,\n", - " True, True, True, True, True, True, True, True, True,\n", - " True, True, True, True, True, True, True, True, True,\n", - " True, True, True, True, True, True, True, True, True,\n", - " True, True, True, True, True, True, True, True, True,\n", - " True, True, True, True, True, True, True, True, True,\n", - " True, True, True, True, True, True, True, True, True,\n", - " True, True, True, True, True, True, True, True, True,\n", - " True, True, True, True, True, True, True, True, True,\n", - " True, True, True, True, True, True, True, True, True,\n", - " True, True, True, True, True, True, True, True, True,\n", - " True, True, True, True, True, True, True, True, True,\n", - " True, True, False, False, False, False, False, False, False,\n", - " False, False, False, False, False, False, False, False, False,\n", - " False, False, False, False, False, False, False, False, False,\n", - " False, False, False, False, False, False, False, False, False,\n", - " False, False, False, False, False, False, False, False, False,\n", - " False, False, False, False, False, False, False, False, False,\n", - " False, False, False, False, False, False, False, False, False,\n", - " False, False, False, False, False, False, False, False, False,\n", - " False, False, False, False, False, False, False, False, False,\n", - " False, False, False, False, False, False, False, False, False,\n", - " False, False, False, False, False, False]),\n", - " 'old_facility_mask': array([False, False, True, False, False, False, True, True, False,\n", - " False, False, False, False, False, False, False, False, False,\n", - " False, False, False, False, False, False, False, False, False,\n", - " False, False, False, False, True, False, False, True, False,\n", - " False, False, False, False, False, False, False, False, False,\n", - " False, False, False, False, False, False]),\n", - " 'new_facility_mask': array([False, True, False, True, True, True, False, False, True,\n", - " True, True, True, True, True, True, True, True, True,\n", - " True, True, True, True, True, True, True, True, True,\n", - " True, True, True, True, False, True, True, False, False,\n", - " False, False, False, False, False, False, False, False, False,\n", - " False, False, False, False, False, False])}\n" - ] - } - ], - "source": [ - "env = PMPEnv(cfg)\n", - "obs = env.reset()\n", - "pprint(obs, sort_dicts=False)" - ] - }, - { - "cell_type": "markdown", - "id": "5b5dff17", - "metadata": {}, - "source": [ - "# Fully random policy" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "38fad19c", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "episode time 0.0962381362915039\n" - ] - } - ], - "source": [ - "num_episodes = 1\n", - "for _ in range(num_episodes):\n", - " start_time = time.time()\n", - " obs = env.reset()\n", - " done = False\n", - " while not done:\n", - " action = env.action_space.sample()\n", - " obs, reward, done, info = env.step(action)\n", - " end_time = time.time()\n", - " print(f'episode time {end_time - start_time}')" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "15a0dc03", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "env.render()" - ] - }, - { - "cell_type": "markdown", - "id": "2678908e", - "metadata": {}, - "source": [ - "# Random policy with action mask" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "6601a4e0", - "metadata": {}, - "outputs": [], - "source": [ - "def random_action(old_facility_mask, new_facility_mask):\n", - " actions = np.zeros(2, dtype=np.int32)\n", - " old_facility_valid_actions, = np.nonzero(old_facility_mask.flatten())\n", - " if len(old_facility_valid_actions):\n", - " action = np.random.choice(old_facility_valid_actions)\n", - " actions[0] = action\n", - " new_facility_valid_actions, = np.nonzero(new_facility_mask.flatten())\n", - " if len(new_facility_valid_actions):\n", - " action = np.random.choice(new_facility_valid_actions)\n", - " actions[1] = action\n", - "\n", - " # If there is no valid choice, then `[0]` is returned which results in an\n", - " # infeasable action ending the episode.\n", - " return actions" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "06b6b25b", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "episode time 0.08919811248779297\n" - ] - } - ], - "source": [ - "num_episodes = 1\n", - "for _ in range(num_episodes):\n", - " start_time = time.time()\n", - " obs = env.reset()\n", - " done = False\n", - " while not done:\n", - " action = random_action(obs['old_facility_mask'], obs['new_facility_mask'])\n", - " obs, reward, done, info = env.step(action)\n", - " end_time = time.time()\n", - " print(f'episode time {end_time - start_time}')" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "8dfe7b6d", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "env.render()" - ] - }, - { - "cell_type": "markdown", - "id": "45c34314", - "metadata": {}, - "source": [ - "# A simple greedy policy" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "27d7dea6", - "metadata": {}, - "outputs": [], - "source": [ - "def simple_greedy_action(node_feature, old_facility_mask, new_facility_mask):\n", - " actions = np.zeros(2, dtype=np.int32)\n", - " old_facility_valid_actions, = np.nonzero(old_facility_mask.flatten())\n", - " if len(old_facility_valid_actions):\n", - " action = np.random.choice(old_facility_valid_actions)\n", - " actions[0] = action\n", - " new_facility_valid_actions, = np.nonzero(new_facility_mask.flatten())\n", - " if len(new_facility_valid_actions):\n", - " current_cost = node_feature[:,2][new_facility_mask]\n", - " action = new_facility_valid_actions[current_cost.argmax()]\n", - " actions[1] = action\n", - "\n", - " # If there is no valid choice, then `[0]` is returned which results in an\n", - " # infeasable action ending the episode.\n", - " return actions" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "c87aed86", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "episode time 0.13427424430847168\n" - ] - } - ], - "source": [ - "num_episodes = 1\n", - "for _ in range(num_episodes):\n", - " start_time = time.time()\n", - " obs = env.reset()\n", - " done = False\n", - " while not done:\n", - " action = simple_greedy_action(obs['node_features'], obs['old_facility_mask'], obs['new_facility_mask'])\n", - " obs, reward, done, info = env.step(action)\n", - " end_time = time.time()\n", - " print(f'episode time {end_time - start_time}')" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "a96c9556", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "env.render()" - ] - }, - { - "cell_type": "markdown", - "id": "c322ffeb", - "metadata": {}, - "source": [ - "# Stable Baselines3 PPO" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "769cff65", - "metadata": {}, - "outputs": [], - "source": [ - "env = PMPEnv(cfg)\n", - "check_env(env)\n", - "env = make_vec_env(PMPEnv, n_envs=4, seed=seed, env_kwargs={'cfg': cfg})\n", - "env = VecNormalize(env, norm_obs=False, norm_reward=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "6467b60b", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Using cpu device\n", - "---------------------------------\n", - "| rollout/ | |\n", - "| ep_len_mean | 40.2 |\n", - "| ep_rew_mean | -0.882 |\n", - "| time/ | |\n", - "| fps | 381 |\n", - "| iterations | 1 |\n", - "| time_elapsed | 21 |\n", - "| total_timesteps | 8192 |\n", - "---------------------------------\n" - ] - } - ], - "source": [ - "model = PPO(\"MultiInputPolicy\", env, verbose=1)\n", - "model.learn(total_timesteps=10)\n", - "model.save(\"ppo_pmp\")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "1b58bf74", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "model = PPO.load(\"ppo_pmp\")\n", - "\n", - "env = PMPEnv(cfg)\n", - "obs = env.reset()\n", - "done = False\n", - "\n", - "while not done:\n", - " action, _states = model.predict(obs, deterministic=True)\n", - " obs, reward, done, info = env.step(action)\n", - "env.render()" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "613584a6", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Using cpu device\n", - "Wrapping the env with a `Monitor` wrapper\n", - "Wrapping the env in a DummyVecEnv.\n", - "case (50, 5):\n", - "\t mean reward: 4.083275961875915\n", - "\t std reward: 0.5777587414942978\n", - "\t time: 0.19227981567382812\n", - "case (50, 8):\n", - "\t mean reward: 2.8377573490142822\n", - "\t std reward: 0.4036061986264256\n", - "\t time: 0.1977283239364624\n", - "case (50, 20):\n", - "\t mean reward: 0.8112503349781036\n", - "\t std reward: 0.12976589679038852\n", - "\t time: 0.2727677345275879\n", - "case (100, 10):\n", - "\t mean reward: 5.641246700286866\n", - "\t std reward: 0.41507641525141514\n", - "\t time: 0.48787381649017336\n", - "case (100, 15):\n", - "\t mean reward: 3.954622673988342\n", - "\t std reward: 0.34866619640680674\n", - "\t time: 0.5216274261474609\n", - "case (100, 40):\n", - "\t mean reward: 1.0940228760242463\n", - "\t std reward: 0.12808238412317302\n", - "\t time: 0.7043498039245606\n", - "case (400, 50):\n", - "\t mean reward: 9.018973255157471\n", - "\t std reward: 0.3803461665566078\n", - "\t time: 5.875917601585388\n" - ] - } - ], - "source": [ - "env = PMPEnv(cfg)\n", - "model = PPO.load(\"ppo_pmp\")\n", - "\n", - "proxy_eval_env = EvalPMPEnv(cfg, 'test')\n", - "model = PPO(\"MultiInputPolicy\", proxy_eval_env, verbose=1)\n", - "\n", - "\n", - "eval_env = EvalPMPEnv(cfg, 'test')\n", - "eval_num_cases = eval_env.get_eval_num_cases()\n", - "eval_np = eval_env.get_eval_np()\n", - "for idx, (n, p) in enumerate(eval_np):\n", - " eval_env.set_eval_np_idx(idx)\n", - " start_time = time.time()\n", - " mean_reward, std_reward = evaluate_policy(model, eval_env, n_eval_episodes=eval_num_cases)\n", - " eval_time = time.time() - start_time\n", - " print(f'case ({n}, {p}):')\n", - " print(f'\\t mean reward: {mean_reward}')\n", - " print(f'\\t std reward: {std_reward}')\n", - " print(f'\\t time: {eval_time/eval_num_cases}')" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "3cc2943a", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[2.3541181087493896, 1.8810086250305176, 2.451237440109253, 1.8985317945480347, 1.980054259300232, 1.98057222366333, 2.181478977203369, 2.3624088764190674, 2.219383716583252, 2.701709032058716]\n" - ] - } - ], - "source": [ - "val_env.set_eval_np_idx(idx)\n", - "reward, length = evaluate_policy(model, val_env, n_eval_episodes=val_num_cases, return_episode_rewards=True)\n", - "print(reward)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "dae9bf45", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.7" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/facility_location/eval.py b/facility_location/eval.py deleted file mode 100644 index e77357e472166560f7f743a98b92bb78bca40d7d..0000000000000000000000000000000000000000 --- a/facility_location/eval.py +++ /dev/null @@ -1,234 +0,0 @@ -import os -import pickle - -import setproctitle -from absl import app, flags -import time -import random -from typing import Tuple, Union, Text - -import numpy as np -import torch as th - -import sys -import gymnasium -sys.modules["gym"] = gymnasium - -from stable_baselines3.common.evaluation import evaluate_policy -from stable_baselines3 import PPO -from stable_baselines3.common.monitor import Monitor -from stable_baselines3.common.vec_env import DummyVecEnv, VecEnvWrapper - -from facility_location.agent.solver import PMPSolver -from facility_location.agent.ga import PMPGA -from facility_location.agent.heuristic import HeuristicRandom, HeuristicGreedy, HeuristicFastInterchange -from facility_location.agent.metaheuristic import TabuSearch, POPSTAR, VNS -from facility_location.env import EvalPMPEnv -from facility_location.utils import Config -from facility_location.agent import MaskedFacilityLocationActorCriticPolicy -from facility_location.utils.policy import get_policy_kwargs - -import warnings -warnings.filterwarnings('ignore') - -flags.DEFINE_string('cfg', None, 'Configuration file.') -flags.DEFINE_integer('global_seed', None, 'Used in env and weight initialization, does not impact action sampling.') -flags.DEFINE_string('root_dir', '/data2/suhongyuan/flp', 'Root directory for writing ' - 'logs/summaries/checkpoints.') -flags.DEFINE_bool('tmp', False, 'Whether to use temporary storage.') -flags.DEFINE_enum('agent', None, - ['solver-gurobi', 'solver-gurobi-cmd', 'solver-pulp-cbc-cmd', 'solver-glpk-cmd', 'solver-mosek', - 'heuristic-random', 'heuristic-greedy', 'heuristic-fastinterchange', - 'metaheuristic-ts', 'metaheuristic-vns', 'metaheuristic-popstar', - 'ga', - 'ppo-random', - 'rl-mlp', 'rl-gnn', 'rl-agnn'], - 'Agent type.') -flags.DEFINE_string('model_path', None, 'Path to saved mode to evaluate.') - -FLAGS = flags.FLAGS - - -AGENT = Union[PMPSolver, HeuristicRandom, HeuristicGreedy, HeuristicFastInterchange, - TabuSearch, VNS, POPSTAR, PMPGA, PPO] -BASELINE = Union[PMPSolver, HeuristicRandom, HeuristicGreedy, HeuristicFastInterchange, - TabuSearch, VNS, POPSTAR, PMPGA] - - -def get_model(cfg: Config, - env: Union[VecEnvWrapper, DummyVecEnv, EvalPMPEnv], - device: str) -> PPO: - policy_kwargs = get_policy_kwargs(cfg) - model = PPO(MaskedFacilityLocationActorCriticPolicy, - env, - verbose=1, - policy_kwargs=policy_kwargs, - device=device) - return model - - -def get_agent(cfg: Config, - env: Union[VecEnvWrapper, DummyVecEnv, EvalPMPEnv], - model_path: Text) -> AGENT: - if cfg.agent.startswith('solver'): - if cfg.agent == 'solver-gurobi': - agent = PMPSolver('GUROBI', env) - elif cfg.agent == 'solver-gurobi-cmd': - agent = PMPSolver('GUROBI_CMD', env) - elif cfg.agent == 'solver-pulp-cbc-cmd': - agent = PMPSolver('PULP_CBC_CMD', env) - elif cfg.agent == 'solver-glpk-cmd': - agent = PMPSolver('GLPK_CMD', env) - elif cfg.agent == 'solver-mosek': - agent = PMPSolver('MOSEK', env) - else: - raise ValueError(f'Agent {cfg.agent} not supported.') - elif cfg.agent.startswith('heuristic'): - if cfg.agent == 'heuristic-random': - agent = HeuristicRandom(cfg.seed, env) - elif cfg.agent == 'heuristic-greedy': - agent = HeuristicGreedy(env) - elif cfg.agent == 'heuristic-fastinterchange': - agent = HeuristicFastInterchange(env) - else: - raise ValueError(f'Agent {cfg.agent} not supported.') - elif cfg.agent.startswith('metaheuristic'): - if cfg.agent == 'metaheuristic-ts': - agent = TabuSearch(cfg, env) - elif cfg.agent == 'metaheuristic-vns': - agent = VNS(env) - elif cfg.agent == 'metaheuristic-popstar': - agent = POPSTAR(cfg, env) - else: - raise ValueError(f'Agent {cfg.agent} not supported.') - elif cfg.agent == 'ga': - agent = PMPGA(cfg, env) - elif cfg.agent == 'ppo-random': - agent = PPO("MultiInputPolicy", env, verbose=1) - elif cfg.agent in ['rl-mlp', 'rl-gnn', 'rl-agnn']: - test_model = get_model(cfg, env, device='cuda:3') - trained_model = PPO.load(model_path) - test_model.set_parameters(trained_model.get_parameters()) - agent = test_model - else: - raise ValueError(f'Agent {cfg.agent} not supported.') - return agent - - -def evaluate(agent: AGENT, - env: Union[VecEnvWrapper, DummyVecEnv, EvalPMPEnv], - num_cases: int, - return_episode_rewards: bool): - if isinstance(agent, PPO): - return evaluate_ppo(agent, env, num_cases, return_episode_rewards=return_episode_rewards) - else: - return evaluate_baseline(agent, env, num_cases) - -from stable_baselines3.common.callbacks import BaseCallback - - -def evaluate_ppo(agent: PPO, env: EvalPMPEnv, num_cases: int, return_episode_rewards: bool) -> Tuple[float, float]: - # class BestSolutionCallback(BaseCallback): - # def __init__(self, env, verbose=0): - # super(BestSolutionCallback, self).__init__(verbose) - # self.eval_env = env - # self.best_solution = None - # self.best_reward = float('-inf') - - # def _on_rollout_end(self) -> None: - # current_obj_value = np.min(self.model.env._obj_value) - # current_solution = self.model.env._best_solution - - # if current_obj_value < self.best_obj_value: - # self.best_obj_value = current_obj_value - # self.best_solution = current_solution - - # best_solution_callback = BestSolutionCallback(env) - rewards, _ = evaluate_policy(agent, env, n_eval_episodes=num_cases, return_episode_rewards=return_episode_rewards) - # best_solution = best_solution_callback.best_solution - - return rewards - - -def evaluate_baseline( - agent: BASELINE, - env: EvalPMPEnv, - num_cases: int): - rewards = np.zeros(num_cases) - for case_idx in range(num_cases): - env.reset() - solution = agent.solve() - reward = env.evaluate(solution) - rewards[case_idx] = reward - return rewards - -def calculate_gap(gurobi_obj, method_obj): - method_obj = np.array(method_obj) - gap = (method_obj - gurobi_obj) / gurobi_obj - mean_gap = np.mean(gap) - std_gap = np.std(gap) - - return mean_gap, std_gap - - -def main(_): - setproctitle.setproctitle('rl@suhy') - - th.manual_seed(FLAGS.global_seed) - np.random.seed(FLAGS.global_seed) - random.seed(FLAGS.global_seed) - - cfg = Config(FLAGS.cfg, FLAGS.global_seed, FLAGS.tmp, FLAGS.root_dir, FLAGS.agent, model_path=FLAGS.model_path) - - if cfg.eval_specs['region'] is None: - eval_np = cfg.eval_specs['test_np'] - else: - eval_path = './data/{}/pkl'.format(cfg.eval_specs['region']) - files = os.listdir(eval_path) - eval_np = [] - - for f in files: - eval_np.append(tuple(map(int, f.split('.')[0].split('_')))) - eval_np = sorted(eval_np, key=lambda x: (x[0], x[1])) - - for (n, p) in eval_np: - print(f'case ({n}, {p}):') - eval_env = EvalPMPEnv(cfg, 'test', (n, p)) - eval_num_cases = eval_env.get_eval_num_cases() - - if cfg.agent in ['rl-mlp', 'rl-gnn', 'rl-agnn']: - eval_env = Monitor(eval_env) - eval_env = DummyVecEnv([lambda: eval_env]) - model_path = os.path.join(cfg.root_dir, 'output', FLAGS.model_path) - - else: - model_path = None - - agent = get_agent(cfg, eval_env, model_path) - - start_time = time.time() - episode_rewards = evaluate(agent, eval_env, eval_num_cases, return_episode_rewards=True) - eval_time = time.time() - start_time - - if cfg.agent == 'solver-gurobi': - pickle.dump(episode_rewards, open(f'gurobi_result/{n}_{p}.pkl', 'wb')) - else: - try: - gurobi_obj = pickle.load(open(f'gurobi_result/{n}_{p}.pkl', 'rb')) - mean_gap, std_gap = calculate_gap(gurobi_obj, episode_rewards) - print(f'\t mean gap: {mean_gap}') - print(f'\t std gap: {std_gap}') - except: - pass - - print(f'\t time: {eval_time / eval_num_cases}') - - -if __name__ == '__main__': - flags.mark_flags_as_required([ - 'cfg', - 'global_seed', - 'agent' - ]) - app.run(main) - diff --git a/facility_location/multi_eval.py b/facility_location/multi_eval.py index 691dd466277bc82dc95ceb991e4d3ee4c090261f..9234685942bb70fc8d966df5e496388e7da1864e 100644 --- a/facility_location/multi_eval.py +++ b/facility_location/multi_eval.py @@ -20,9 +20,6 @@ from stable_baselines3.common.monitor import Monitor from stable_baselines3.common.vec_env import DummyVecEnv, VecEnvWrapper from facility_location.agent.solver import PMPSolver -from facility_location.agent.ga import PMPGA -from facility_location.agent.heuristic import HeuristicRandom, HeuristicGreedy, HeuristicFastInterchange -from facility_location.agent.metaheuristic import TabuSearch, POPSTAR, VNS from facility_location.env import EvalPMPEnv, MULTIPMP from facility_location.utils import Config from facility_location.agent import MaskedFacilityLocationActorCriticPolicy @@ -31,29 +28,8 @@ from facility_location.utils.policy import get_policy_kwargs import warnings warnings.filterwarnings('ignore') -flags.DEFINE_string('cfg', None, 'Configuration file.') -flags.DEFINE_integer('global_seed', None, 'Used in env and weight initialization, does not impact action sampling.') -flags.DEFINE_string('root_dir', '/data2/suhongyuan/flp', 'Root directory for writing ' - 'logs/summaries/checkpoints.') -flags.DEFINE_bool('tmp', False, 'Whether to use temporary storage.') -flags.DEFINE_enum('agent', None, - ['solver-gurobi', 'solver-gurobi-cmd', 'solver-pulp-cbc-cmd', 'solver-glpk-cmd', 'solver-mosek', - 'heuristic-random', 'heuristic-greedy', 'heuristic-fastinterchange', - 'metaheuristic-ts', 'metaheuristic-vns', 'metaheuristic-popstar', - 'ga', - 'ppo-random', - 'rl-mlp', 'rl-gnn', 'rl-agnn'], - 'Agent type.') -flags.DEFINE_string('model_path', None, 'Path to saved mode to evaluate.') - -FLAGS = flags.FLAGS - - -AGENT = Union[PMPSolver, HeuristicRandom, HeuristicGreedy, HeuristicFastInterchange, - TabuSearch, VNS, POPSTAR, PMPGA, PPO] -BASELINE = Union[PMPSolver, HeuristicRandom, HeuristicGreedy, HeuristicFastInterchange, - TabuSearch, VNS, POPSTAR, PMPGA] +AGENT = Union[PMPSolver, PPO] def get_model(cfg: Config, env: Union[VecEnvWrapper, DummyVecEnv, EvalPMPEnv], @@ -70,43 +46,8 @@ def get_model(cfg: Config, def get_agent(cfg: Config, env: Union[VecEnvWrapper, DummyVecEnv, EvalPMPEnv], model_path: Text) -> AGENT: - if cfg.agent.startswith('solver'): - if cfg.agent == 'solver-gurobi': - agent = PMPSolver('GUROBI', env) - elif cfg.agent == 'solver-gurobi-cmd': - agent = PMPSolver('GUROBI_CMD', env) - elif cfg.agent == 'solver-pulp-cbc-cmd': - agent = PMPSolver('PULP_CBC_CMD', env) - elif cfg.agent == 'solver-glpk-cmd': - agent = PMPSolver('GLPK_CMD', env) - elif cfg.agent == 'solver-mosek': - agent = PMPSolver('MOSEK', env) - else: - raise ValueError(f'Agent {cfg.agent} not supported.') - elif cfg.agent.startswith('heuristic'): - if cfg.agent == 'heuristic-random': - agent = HeuristicRandom(cfg.seed, env) - elif cfg.agent == 'heuristic-greedy': - agent = HeuristicGreedy(env) - elif cfg.agent == 'heuristic-fastinterchange': - agent = HeuristicFastInterchange(env) - else: - raise ValueError(f'Agent {cfg.agent} not supported.') - elif cfg.agent.startswith('metaheuristic'): - if cfg.agent == 'metaheuristic-ts': - agent = TabuSearch(cfg, env) - elif cfg.agent == 'metaheuristic-vns': - agent = VNS(env) - elif cfg.agent == 'metaheuristic-popstar': - agent = POPSTAR(cfg, env) - else: - raise ValueError(f'Agent {cfg.agent} not supported.') - elif cfg.agent == 'ga': - agent = PMPGA(cfg, env) - elif cfg.agent == 'ppo-random': - agent = PPO("MultiInputPolicy", env, verbose=1) - elif cfg.agent in ['rl-mlp', 'rl-gnn', 'rl-agnn']: - test_model = get_model(cfg, env, device='cuda:3') + if cfg.agent in ['rl-mlp', 'rl-gnn', 'rl-agnn']: + test_model = get_model(cfg, env, device='cuda:0') trained_model = PPO.load(model_path) test_model.set_parameters(trained_model.get_parameters()) agent = test_model @@ -122,7 +63,7 @@ def evaluate(agent: AGENT, if isinstance(agent, PPO): return evaluate_ppo(agent, env, num_cases, return_episode_rewards=return_episode_rewards) else: - return evaluate_baseline(agent, env, num_cases) + raise ValueError(f'Agent {agent} not supported.') from stable_baselines3.common.callbacks import BaseCallback @@ -131,77 +72,25 @@ def evaluate_ppo(agent: PPO, env: EvalPMPEnv, num_cases: int, return_episode_rew rewards, _ = evaluate_policy(agent, env, n_eval_episodes=num_cases, return_episode_rewards=return_episode_rewards) return rewards -def evaluate_baseline( - agent: BASELINE, - env: EvalPMPEnv, - num_cases: int): - rewards = np.zeros(num_cases) - for case_idx in range(num_cases): - env.reset() - solution = agent.solve() - reward = env.evaluate(solution) - rewards[case_idx] = reward - return rewards - -def calculate_gap(gurobi_obj, method_obj): - method_obj = np.array(method_obj) - gap = (method_obj - gurobi_obj) / gurobi_obj - mean_gap = np.mean(gap) - std_gap = np.std(gap) - - return mean_gap, std_gap - - -def main(_): - setproctitle.setproctitle('rl@suhy') - th.manual_seed(FLAGS.global_seed) - np.random.seed(FLAGS.global_seed) - random.seed(FLAGS.global_seed) - - cfg = Config(FLAGS.cfg, FLAGS.global_seed, FLAGS.tmp, FLAGS.root_dir, FLAGS.agent, model_path=FLAGS.model_path) - - # if cfg.eval_specs['region'] is None: - # eval_np = cfg.eval_specs['test_np'] - # else: - # eval_path = './data/{}/pkl'.format(cfg.eval_specs['region']) - # files = os.listdir(eval_path) - # eval_np = [] - - # for f in files: - # eval_np.append(tuple(map(int, f.split('.')[0].split('_')))) - # eval_np = sorted(eval_np, key=lambda x: (x[0], x[1])) - eval_env = MULTIPMP(cfg) - - if cfg.agent in ['rl-mlp', 'rl-gnn', 'rl-agnn']: - eval_env = Monitor(eval_env) - eval_env = DummyVecEnv([lambda: eval_env]) - model_path = os.path.join(cfg.root_dir, 'output', FLAGS.model_path) - else: - model_path = None +def main(data_npy, boost=False): + th.manual_seed(0) + np.random.seed(0) + random.seed(0) + model_path = './facility_location/best_model.zip' + cfg = Config('plot', 0, False, '/data2/suhongyuan/flp', 'rl-gnn', model_path=model_path) + + eval_env = MULTIPMP(cfg, data_npy, boost) + eval_env = Monitor(eval_env) + eval_env = DummyVecEnv([lambda: eval_env]) agent = get_agent(cfg, eval_env, model_path) start_time = time.time() - episode_rewards = evaluate(agent, eval_env, 1, return_episode_rewards=True) + _ = evaluate(agent, eval_env, 1, return_episode_rewards=True) eval_time = time.time() - start_time - - - # if cfg.agent == 'solver-gurobi': - # pickle.dump(episode_rewards, open(f'gurobi_result/{n}_{p}.pkl', 'wb')) - # else: - # gurobi_obj = pickle.load(open(f'gurobi_result/{n}_{p}.pkl', 'rb')) - # mean_gap, std_gap = calculate_gap(gurobi_obj, episode_rewards) - # print(f'\t mean gap: {mean_gap}') - # print(f'\t std gap: {std_gap}') - print(f'\t reward: {episode_rewards}') print(f'\t time: {eval_time}') if __name__ == '__main__': - flags.mark_flags_as_required([ - 'cfg', - 'global_seed', - 'agent' - ]) app.run(main) diff --git a/facility_location/solutions.pkl b/facility_location/solutions.pkl new file mode 100644 index 0000000000000000000000000000000000000000..2bd2dfc2360c4897a843357ade7eadc30836841c --- /dev/null +++ b/facility_location/solutions.pkl @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:24db38dd59e0613dcf5e2715a1cf875ed47ca74c7c8785c9e588d0f176b62525 +size 2289 diff --git a/facility_location/test.ipynb b/facility_location/test.ipynb deleted file mode 100644 index e4627d574c2e07f56d70a4d03b97b8a625840cc8..0000000000000000000000000000000000000000 --- a/facility_location/test.ipynb +++ /dev/null @@ -1,425 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " ...\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]\n", - " [0. 0. 0. ... 0. 0. 0.]]\n", - "[0, 1.3065473509668304, 0, 0, 0, 0, 0, 0, 0, 0, 1.0119895121655276, 0, 0, 0, 1.8436509672479273, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.1267322635704136, 0, 0, 0, 0, 0, 0, 0, 0, 1.7347805051324074, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.8483172051875574, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.5343659059282944, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.3037638449483402, 0, 0, 0, 0, 1.3504727008855124, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.2921978917216865, 0, 0, 0, 1.108479378407742, 1.653393678507642, 0, 0, 1.0881684264537401, 0, 0, 0, 0, 1.0623021918455655, 0, 1.875191256591029, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.6073341680760638, 0, 0, 0, 1.9805523895709318, 0, 0, 1.403634942312521, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.5219421212115591, 0, 1.138657038124882, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.7630849587454187, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.9569291222415044, 0, 0, 1.4085844528393465, 0, 0, 0, 0, 0, 1.0585786345260078, 0, 0, 0, 0, 1.736349229376354, 0, 0, 0, 1.8004691226858753, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.9779176202803515, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.2449110835085255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.1868774604112011, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.076155348166279, 0, 1.7387446698801625, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.9171840290289772, 0, 0, 0, 0, 0, 0, 0, 0, 1.716298965206781, 0, 0, 0, 0, 1.1447802494381323, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.0112323315963594, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.3254928410498104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.8373649059065984, 0, 0, 1.5804061346245062, 0, 0, 1.1179927616272543, 1.9732771314115762, 0, 0, 0, 1.0791197901446883, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.4381135247848582, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.9562907397004219, 0, 0, 0, 0, 0, 0, 1.7499225320939327, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.9541760847800393, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.679649307061875, 0, 0, 0, 1.2385975866230923, 0, 0, 0, 0, 0, 0, 1.9803317984826894, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.3671411900289383, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.8917328894219043, 0, 0, 0, 1.7099108098933784, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.615200505489025, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.9019674243157896, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.983515852879571, 0, 0, 1.5882742759320192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.1412517855055038, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.8094776841552782, 0, 0, 0, 0, 0, 0, 0, 0, 1.021378272713097, 0, 0, 0, 0, 1.9429265858537925, 0, 0, 0, 1.7935205973004997, 0, 0, 1.6377902540912914, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.8366946607857926, 1.4781106136146915, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.1568968466422547, 1.1573005183296878, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.9279504608405298, 0, 0, 0, 0, 0, 0, 0, 0, 1.5247602593849523, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.0022484037743946, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.676358929570334, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.3344155679542609, 0, 1.0228587657502164, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.4178207321282081, 0, 0, 0, 1.3399631548961843, 0, 0, 0, 0, 1.2014533629641875, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.655018985449563, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.6369690332038644, 1.4444089312928114, 0, 0, 0, 0, 0, 0, 0, 1.5973146475663211, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.2790129140270188, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.157209813742849, 0, 0, 1.8558075169258035, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.1418489101240186, 0, 0, 0, 1.6728632989913017, 0, 0, 0, 0, 1.9733370583105247, 0, 0, 0, 0, 0, 0, 0, 0, 1.2162257115893476, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.8103211556841596, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.4623508697193839, 0, 0, 0, 0, 0, 0, 1.3820356674348546, 0, 0, 0, 0, 0, 0, 0, 0, 1.3796803102948338, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.8783449770955891, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.8283355432966881, 0, 1.0616043707520344, 1.0338315463576362, 0, 0, 0, 0, 0, 1.8075056506854377, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1.2382511252086272, 0]\n", - "[0.9041395630814669, 0, 0.08074497862228569, 0.8222853202667209, 0.11502836231273406, 0.12388377758142011, 0.9935610059555571, 0.9500722273849179, 0.2274986811231311, 0.9331586568638208, 0, 0.10197305464416428, 0.8335838629139186, 0.29722262440052416, 0, 0.5570156829360735, 0.5113093524387131, 0.3945705316981616, 0.700834556583633, 0.5959949562111623, 0.9194833740276643, 0.03639432225067596, 0.8619375383697131, 0.40098857082359296, 0.901096383302275, 0.3326271601473464, 0.40648530281448214, 0.19179973417364282, 0.7384218162811385, 0.606170113450668, 0.2034400951553571, 0.7360049055396741, 0.4377924152683431, 0.701894568371572, 0.8384179992672554, 0.36009447101265624, 0.057089388308546374, 0.6471204277567344, 0.5804477088982322, 0.22360844388185153, 0.3907312862968938, 0.8129163728117023, 0.24849371594354686, 0.6143476258617578, 0.964437866304353, 0.4779139542289089, 0.9551424774494233, 0, 0.6587018840348203, 0.7177205710440928, 0.6803073279158656, 0.7596716797549441, 0.2731038875379401, 0.9963450007000443, 0.9338437488860837, 0.6672254590384904, 0, 0.9766142306013038, 0.3336436044180108, 0.8552466414429304, 0.3773010552363938, 0.7982391639938732, 0.15713379655188064, 0.649499265386598, 0.01111038028608069, 0.7359429126326681, 0.3697736282904457, 0.5188659999559949, 0.7312843130094226, 0.6283878578882, 0.5858647019277301, 0.2568404400053579, 0.26637932073974946, 0.08311060097066814, 0.6823101071566782, 0.5117924556973708, 0.7727964428980895, 0.4871347548357592, 0.23944186531581768, 0, 0.4488843107933801, 0.17050240445830211, 0.32758814288161064, 0.9684889557655156, 0.18713628646961955, 0.23512499010283083, 0.6908607124959899, 0.16292687259130212, 0.5908977261164322, 0.2628512420925919, 0.12637272083797602, 0.8524141068494073, 0.40985597531278284, 0.7007238582874573, 0.27977563104156644, 0.8377433260012307, 0.3438029194739557, 0.5029709995253282, 0.13963145534906607, 0.7768401182629143, 0.8888622066634125, 0.5957917668638463, 0, 0.8976957143183216, 0.6196252423577024, 0.6671880681983002, 0.006747063804729003, 0.7333057215752168, 0.6237054709832023, 0.0735936501961536, 0.8078692846944199, 0.29362729097622287, 0, 0.777762899494489, 0.029937563731620598, 0.9423786649864392, 0.8500751414105719, 0, 0.18379075956506563, 0.7771642104693584, 0.2755344339426994, 0.5844115961137218, 0.08557307910973255, 0.6576189712202234, 0.07014222670294057, 0.059942478070522554, 0.21400722036017483, 0.8715741716698897, 0.41683913664736416, 0.34908168135405493, 0.6741233809948677, 0.04643162148635738, 0.41054193179223764, 0, 0.45598799782701915, 0.8055978593685426, 0.9253146540063065, 0, 0, 0.7792616871813225, 0.6943143812539746, 0, 0.1034712744967976, 0.04313120226573264, 0.2751339614831234, 0.37529960202516477, 0, 0.6041632897991356, 0, 0.4377224992464337, 0.848388109456763, 0.7489141481736912, 0.9320581102000423, 0.34383612164271826, 0.8958464142568214, 0.03235173543474967, 0.4298588684324347, 0.7419659608225888, 0.2786508676578431, 0.7371351320924223, 0.8471415929527776, 0.42416311347299496, 0, 0.7054829673373973, 0.7285328523901956, 0.9173548974710188, 0, 0.559696900477303, 0.03522671001076627, 0, 0.9459404485454181, 0.13167389783915762, 0.5403952264688044, 0.4885489232108575, 0.9738268207931763, 0.17282404625847003, 0.9887621562669708, 0.9004641077939243, 0.3973853074935946, 0.8228046331189511, 0, 0.339142358676055, 0, 0.10991076610928008, 0.25036814672138286, 0.748226432068904, 0.27994481089578416, 0.2950666458236678, 0.9318863921563708, 0.37473607423307753, 0.6294638737449255, 0.011647920169922, 0.5818789092384103, 0.20693661728415869, 0.06620671237320896, 0.7561448831436088, 0.8691939036953821, 0.2840024317972576, 0.6977782413872717, 0.6464567063052008, 0.8599739468079631, 0.8903974329001684, 0, 0.1251244494656777, 0.5152328277644084, 0.5180129200004933, 0.8192211258668435, 0.7623893292489352, 0.3511103448182544, 0.9811217812918138, 0.08109105051697707, 0.5215649551033613, 0, 0.08182277889955691, 0.008911978495510176, 0, 0.20936169974897945, 0.9606710222581915, 0.5403241486294552, 0.5500537132411906, 0.9249699069700033, 0, 0.15251204099627724, 0.7105410992845586, 0.5554157563643312, 0.5038499237684088, 0, 0.7346017403533128, 0.25681088681861497, 0.4552903297148797, 0, 0.5324962682506602, 0.3578657866335586, 0.2377353950948864, 0.8740207917956883, 0.7878675498728824, 0.9106232602973864, 0.7399305059477627, 0.5230520293454254, 0.7975270964647226, 0.4494205530516001, 0.7861022185941772, 0.8860061656787065, 0.298510561162151, 0.07792259650385036, 0.6736325460609645, 0.8779086216893747, 0.8496589885454549, 0.12043620656745824, 0.6543672435497736, 0.2856518449684723, 0.7427512962401306, 0.545746723389937, 0.1614960444663296, 0.9985130190537231, 0.5378096758880552, 0.9209592614862138, 0.5492905986503386, 0.22402881267169894, 0.4727283833715792, 0.08284898363778104, 0.6700098678404831, 0.8263663177408445, 0.347954172253078, 0.793957838138496, 0.47686802583853194, 0.027731088228663436, 0.4106428230860101, 0.8580325647370642, 0.30910601836282603, 0.18961134904524657, 0.8618852602762438, 0.14544712498446244, 0.055424540254410126, 0.48040718196410115, 0.8814855320488243, 0.1916350237168961, 0.48463807674801196, 0, 0.8773885694204007, 0.13331555808834306, 0.6792724057017732, 0.5409699556538768, 0.29660415998011946, 0.15066922145256256, 0.4420588634148688, 0.5753406008853933, 0.3319637395192826, 0.2047850794839846, 0.6288737583881022, 0.5907498395934051, 0.8833944488752735, 0.751144322223856, 0.28728278022586895, 0.12124339212180901, 0.03534714877108136, 0.9872456004096749, 0.3877636751200386, 0.42973253874392237, 0, 0.8067921395105366, 0.9683986536960479, 0.01158396954883445, 0.4696422078397753, 0.31360953027159777, 0.9489858352484257, 0.870737321574568, 0.3072468655227133, 0.09829232669040133, 0, 0.8527033281738108, 0.14097552735219554, 0.9030446674312727, 0.5512484360945659, 0.6034029834956395, 0.9409162663369613, 0.06821104586006099, 0.264181560575097, 0.38505376572100125, 0, 0.07142820128527083, 0, 0.8890022111455872, 0.21925741439376267, 0.7040650671360058, 0.4694101807181672, 0.10864738888572867, 0.49977630026616204, 0.5463131559326317, 0.6312467471741934, 0.14410010930014328, 0.28547049694329496, 0.2521182154499988, 0.10754814331182128, 0.6803197530037096, 0.3445923137962905, 0, 0.3943182102707181, 0.9401367431475006, 0.08922097422544173, 0.5122897539003748, 0.160490512561834, 0.9826345903226602, 0.3352822674749646, 0.1809449426346067, 0, 0.07070862051524007, 0.43700917176439535, 0.4019675833768357, 0.5858729584018305, 0, 0.4323754653350079, 0.5435447823573529, 0.5249053364543692, 0.2760924417134334, 0.7918107455486161, 0.3508338752689446, 0.5772386163105846, 0.7836279026145342, 0.5623593108720227, 0.8941759904811595, 0.616344543050291, 0.024039831287841595, 0.8091744939059091, 0.20219385173577875, 0.7352105259606261, 0.7291878413577416, 0.9690568869515104, 0.8639890441392747, 0.26775948568076724, 0.6456125369468928, 0.8633019490227369, 0.46019650427695513, 0.13733931953796363, 0.7009943564550838, 0, 0.8765208071298392, 0.3510481090866573, 0.952741243119236, 0.6085370909733463, 0.060591668877822635, 0.593458806949922, 0.32999824176331993, 0.2005563715407065, 0.6356515525522672, 0.5313310156503008, 0, 0.6526157579542673, 0.16528648691346326, 0.5880637184852238, 0.8403160384815712, 0.7753748108425729, 0.43479104149265213, 0.8075093032887632, 0.24882971412296206, 0.993218223804026, 0.4075145035481623, 0.659057426502469, 0.7096298365432919, 0.38871327370864295, 0, 0.0059850553267807305, 0.0051590124390130665, 0, 0.4339201810744312, 0.6589340924156193, 0, 0, 0.0183747786202757, 0.641728966555246, 0.13788554402047293, 0, 0.04142787222083466, 0.5437210792143448, 0.6682354838913858, 0.4863337541023133, 0.2516239362588567, 0.08413190053059949, 0.9676267580134232, 0.22575297983288822, 0.1244255557152607, 0.8224185681282771, 0.17799363953067182, 0, 0.5025441510675511, 0.5019710265230332, 0.9357275145619265, 0.15836873585980826, 0.5713881585816664, 0.22827904180589342, 0.4775693009965608, 0.6086289931020366, 0.2583546327316848, 0.5103052594959362, 0.7145900448524471, 0.10295397178917542, 0, 0.09275601610146023, 0.6991098891594635, 0.7029764190768392, 0.6212182473669104, 0.5820433796886109, 0.5388736199502143, 0, 0.9944249844077415, 0.40857486403028265, 0.9661269137950269, 0.9403489056304841, 0.6726652292399451, 0.9051335183708998, 0.3164921310764257, 0.9023366050597892, 0.30852888389712896, 0.1533769072061496, 0.05989727443934789, 0.1843064816232104, 0.1798016691253399, 0, 0.6178075591514937, 0.3686226710481947, 0.6184461049971367, 0.8851501336979073, 0.06093147298207546, 0.6256799742565118, 0.7849115120346345, 0.3784104526133262, 0.9371851888020702, 0.684972759585991, 0.7949878962983897, 0.8616055799031592, 0.479746692653625, 0.6124871523062442, 0.10666483557632933, 0.006180345888404548, 0.6735977991008641, 0.10158871183327556, 0.591704934660402, 0.2312087408602581, 0.9815148154265422, 0.8485224448763321, 0.6455132893667194, 0.30405268130718377, 0, 0.6843958862522528, 0.9202546611995617, 0.9155463294525774, 0, 0.2465322719342622, 0.7116900962619911, 0.6852435432761507, 0.36921139065044417, 0.24079805201788684, 0.5279979865872105, 0, 0.4580950598339274, 0.09416817268177735, 0.24485156044670375, 0.6795116598241068, 0.10926978632127848, 0.4291183769079828, 0.3173187695944222, 0.33484985397163214, 0.038161498557721774, 0, 0.8512067172888305, 0.3269439340369171, 0.09063192594923575, 0.21357890043557815, 0.477913461503943, 0.562248630937037, 0.8926437627426074, 0.6478237578129892, 0.48206217605588086, 0.34727516061731833, 0.9133360767841633, 0.9965298351093996, 0.9310818327939521, 0.9203270594874299, 0.427661452528471, 0.08481245152119843, 0.27825465814929184, 0.338289782286603, 0.8310840927876677, 0, 0.9361644149777257, 0.46751272795172805, 0.06916297361837564, 0, 0.2667695364435009, 0.3914438449163915, 0.9089951984770299, 0.26705023736611455, 0.7140484248458, 0.9328715783389795, 0.8784764173296057, 0.43864057572631243, 0.497365474780739, 0, 0.39495852791800456, 0.32556251832409067, 0.04145996851406375, 0.5321255615302387, 0.4745736483959867, 0.8077031225529914, 0.7727182252723452, 0.32350776752668176, 0.8516700737916549, 0.8905590837613401, 0.5935164487881724, 0.34323812504670614, 0.3762190625604799, 0, 0.7122030878318626, 0.7201016629223704, 0.5032402348210122, 0.6459771004940253, 0.28291065795682, 0.9807675129793004, 0.904801321395868, 0.7249312328310027, 0.08797612394667331, 0.21652646788592023, 0.2502698372860521, 0.5271991408875268, 0.3904368367161952, 0, 0.36508174527578696, 0.28549760122806267, 0, 0.6530637713991875, 0.07111060472758746, 0.539713440473812, 0.06379108642341613, 0.4609514585175071, 0.17100240601976935, 0.20616576051652735, 0.6187094701051248, 0.6269357691081149, 0, 0.5281274232165335, 0.13783184906931645, 0.6935570838981316, 0.4056335243279451, 0.7133338668936207, 0.7475108839851734, 0.17357481507151973, 0.5188185089754186, 0.9707935671973664, 0, 0.6135368531681027, 0.20463806463336487, 0.7988704077506983, 0.12569583554972774, 0.9029179052812085, 0.20153927911653413, 0.4953392643904281, 0.31390765664891884, 0, 0.3309013777524318, 0.6270666932243821, 0.7796749710315518, 0.9056785444042665, 0, 0.9531026962094459, 0.2580494188736775, 0.2130379222435661, 0, 0.6404773765646499, 0.5151777681422338, 0, 0.849179519208299, 0.40777786434510566, 0.03250867310816463, 0.4806021833149339, 0.6205728646164946, 0.4925314551993333, 0.8647770115517502, 0.39070743887579995, 0.42416135424755597, 0.54984394800331, 0.6781483425918189, 0.6498463642722709, 0.8563189193468166, 0.25555800305584464, 0.05700199355385749, 0.08965338534965728, 0.15529537842766272, 0.9149924358819634, 0.44384858784509185, 0.27209987746166564, 0.18655130321037405, 0.9874438834501506, 0.09507860989480466, 0, 0, 0.2440388914742504, 0.5256635084984219, 0.16051723098089754, 0.001558650858930366, 0.7487131249747785, 0.5326827482320085, 0.06556091356378457, 0.9924489229483846, 0.0798524142793332, 0.9536950395766158, 0.2291072757089373, 0.1928968621390703, 0, 0, 0.4373574990027175, 0.530806467064814, 0.20721530788094122, 0.8006704059039377, 0.20253089835154503, 0.47704054715261346, 0.1986035873715144, 0.4589304057288962, 0.6465807585041393, 0.7547689418434551, 0, 0.31060381223641076, 0.414218513671307, 0.5931807317923922, 0.18856659632218276, 0.6196167400377182, 0.08000475281653141, 0.8470246747851051, 0.22057370127305498, 0, 0.8342942680720551, 0.028757429285548808, 0.8156362526375006, 0.995845201683645, 0.24145512335842445, 0.5061782487865663, 0.8026965174319032, 0.43506325401396284, 0.5571950697614316, 0.25066087051375796, 0.8381081762722642, 0.15586199008618862, 0, 0.4937714349711336, 0.9645730942911799, 0.5295090560649596, 0.06968803878960395, 0.44685154003828975, 0.33742346829989367, 0.13481478825449678, 0.803920949795903, 0.630963718190743, 0.24798703491148433, 0.8231362409935734, 0.7240923734212911, 0.2846436847806062, 0.05982454796958059, 0.35028500517867445, 0.614081918820337, 0.861616830962007, 0.534818561063319, 0.8847078321709532, 0.5166459644245666, 0, 0.4233714925279961, 0.4099433816129605, 0.3596634270557205, 0.8610567120629865, 0.8518711302938005, 0.9815643847289087, 0.9399628151862728, 0.2769446749682547, 0.26183229274445396, 0.8088448102791975, 0.33687053509902065, 0.7400021939452547, 0, 0.3104827029954591, 0, 0.21970236591471226, 0.41627055271728786, 0.760887088424125, 0.504908631439443, 0.3309286197749345, 0.02719415662268243, 0.8562693107931387, 0.9160753449428137, 0.9215797164219479, 0.5517490913245979, 0.3243906541755075, 0.7787841293892179, 0.9041181979807672, 0, 0.4065020828144216, 0.3263035620019985, 0.21462217259429095, 0, 0.2095263867639977, 0.6957321786683563, 0.8711085360114326, 0.4567387764709292, 0, 0.9103800028392032, 0.03993385756609047, 0.8743740215362584, 0.8520540004186101, 0.3023664438123982, 0.5362319606972364, 0.6852340947034127, 0.14673994613405017, 0.9556076167243608, 0.2599468487198915, 0.6166229242431326, 0.3647502822229911, 0.06970322845198929, 0.8059945397482337, 0.6935906648605085, 0.14484907161927674, 0.7489671614625661, 0.0761100118803788, 0.6929575390278396, 0.411156902510315, 0.5680362145035645, 0.22103038278350906, 0.33378918072616803, 0.07401872093186024, 0, 0.2384710487765187, 0.7537046273865109, 0.5650633058530684, 0.537903467024971, 0.6730136981282536, 0.258276624419172, 0.0481812499641181, 0.16161642109590713, 0.2063293661678547, 0.613858263924941, 0.7401198936147888, 0.6336758174448643, 0.8225024837353339, 0.5978551426718874, 0.09542417674528791, 0.6120833656788707, 0.323903842960925, 0.13931854582455183, 0.5381619902061565, 0.02333574379227754, 0.4216826597745471, 0.8356196870670161, 0.31827308971600765, 0.039285749836145634, 0.8880276700762737, 0, 0, 0.6875430459082899, 0.8412151232415347, 0.7242854452933934, 0.2775442897910889, 0.6389462017857761, 0.043221056775573086, 0.8988220132682924, 0, 0.1959330022168887, 0.8396355706302502, 0.9773002405212339, 0.224356307715603, 0.2803573387059688, 0.5813042002350415, 0.4172020116207842, 0.8985232844254049, 0.7947533403582208, 0.45353379953204853, 0, 0.325408223919478, 0.11257225763441736, 0.47060979677015324, 0.16172279756269536, 0.16494802886054338, 0.36345724739477214, 0.9207933258117182, 0.8186675832402952, 0.8312671423338792, 0.40003451340073903, 0, 0.3556519587605015, 0.6229618810063414, 0, 0.9783244908721367, 0.25559285308007373, 0.45778206830891155, 0.5878524852553565, 0.06799989537861562, 0.2001853230549019, 0.6793707994030119, 0.7150481117705543, 0.577526152899073, 0.4298314283931458, 0.5405489283762733, 0.9083723028981335, 0.9813915128936416, 0.6738361039036571, 0.5871912023825119, 0.23013287609315702, 0.26115915961928027, 0.6822262476747706, 0.17423279385023271, 0.2673150258440812, 0.46048878108024516, 0.14195996747161166, 0.7603060512054939, 0.7363273112341094, 0.41845020429252844, 0.7769527436525356, 0.45434056921894905, 0.5818152963666642, 0.5146678202075496, 0.792670749711979, 0.15426060206288117, 0.2827108066915468, 0.36435578615059594, 0.7639770507184225, 0.9375989691330652, 0.640466561585606, 0.612054008185558, 0.8327635405917856, 0.33531157041415005, 0.6919819159373694, 0.2814933376586002, 0.4280167561341125, 0.9204562423681187, 0, 0.4617258506284855, 0.1687304854159677, 0.21150153046961362, 0, 0.9473641022454827, 0.6199947695650183, 0.36494798871863776, 0.7687437225004924, 0, 0.31596464149129233, 0.3650930095165815, 0.5515049984692568, 0.6648730895561041, 0.9040205803644148, 0.6517095504440272, 0.8259996994449177, 0.08542523283290193, 0, 0.8352731019851729, 0.7203015441232917, 0.871104185117645, 0.42131068249022896, 0.4961835062629919, 0.44103602918847074, 0.5341996553767577, 0.8955804760089646, 0.03519950963156382, 0.5684316886879497, 0.19634651747610699, 0.8858180625145002, 0.4067999310913569, 0.6462912284097071, 0.8450273425899184, 0, 0.4627496072921794, 0.5453573248220742, 0.2288024693436702, 0.43728563713888946, 0.5225489186245426, 0.02675474718827686, 0.5205272619305802, 0.6907443700242047, 0.04073932102277289, 0.693716360144892, 0.32687302381139904, 0.6277895671325022, 0.7593345890756615, 0.3578991326379847, 0.31060606721434136, 0, 0.733087376565599, 0.061341467569715036, 0.35967434041329605, 0.48940154101859323, 0.23583593301173722, 0.7868846146030043, 0, 0.9543888801166363, 0.9255814796677508, 0.5962028744083365, 0.8076491126833315, 0.31571008569147785, 0.9238533846756112, 0.15398713026371935, 0.1952859534354633, 0, 0.725442879082974, 0.7588757369740254, 0.5684667524603941, 0.9179849730776254, 0.25101526871760105, 0.18105423091013084, 0.8435309046984312, 0.23222336038018143, 0.18700649703925543, 0, 0.4491639803654781, 0.6919975904280216, 0.3190004906272401, 0.8736572536181758, 0.10251230834295466, 0.7058530231012046, 0.8978182112867975, 0.73813298121533, 0.8745006564783215, 0.7845526679418063, 0.39191121691254804, 0.6055716295965105, 0.8356709917180716, 0.00288366886400071, 0.6559699987601796, 0.23331256294315594, 0.9776079303483803, 0.09119367760202723, 0.19556751021159646, 0.8363706359031983, 0.9142543696590871, 0.8318105487214865, 0.5926716090135717, 0.3725814516905266, 0.11340419090818132, 0.9645171525488953, 0.11347184903978369, 0.4468986892355996, 0.5396782277129197, 0.6585159819330665, 0.007796835932915469, 0, 0.20052883098350116, 0, 0, 0.9474749905442867, 0.6069534186098525, 0.3208035794554124, 0.8042891168285783, 0.43736320913444793, 0, 0.25436181360882426, 0.7356693659526581, 0.3490849314850649, 0.36254338777723993, 0.2517640014121405, 0.4710453196055221, 0.5775721161180677, 0.205311102057802, 0.029118079438258948, 0.33317546098187434, 0.5541188602042993, 0, 0.22312773319680268]\n", - "[[False False False ... False False False]\n", - " [ True False True ... True False True]\n", - " [False False False ... False False False]\n", - " ...\n", - " [False False False ... False False False]\n", - " [ True False True ... True False True]\n", - " [False False False ... False False False]]\n", - "1857\n" - ] - } - ], - "source": [ - "import numpy as np\n", - "from sklearn.neighbors import kneighbors_graph\n", - "import networkx as nx\n", - "n = 1000\n", - "points = np.random.rand(n, 2)\n", - "# init solutions = 1 with p=0.1\n", - "solutions = np.random.choice([0, 1], size=n, p=[0.9, 0.1])\n", - "gain = [0 if i == 0 else np.random.rand() + 1 for i in solutions]\n", - "loss = [0 if i == 1 else np.random.rand() for i in solutions]\n", - "connection_matrix = kneighbors_graph(points, n_neighbors=3, mode=\"connectivity\").toarray()\n", - "print(connection_matrix)\n", - "solution_matrix = (solutions)[:, None] ^ (solutions)[None, :]\n", - "gain_loss_matrix = np.logical_and(np.array(gain)[:, None] > np.array(loss)[None, :], np.array(loss)[None, :])\n", - "print(gain)\n", - "print(loss)\n", - "print(gain_loss_matrix)\n", - "\n", - "final_matrix = np.logical_and(connection_matrix, np.logical_or(gain_loss_matrix, connection_matrix))\n", - "\n", - "G = nx.from_numpy_matrix(final_matrix)\n", - "print(len(G.edges()))" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[ True False True True True]\n", - "[[0 2]\n", - " [2 1]\n", - " [1 2]\n", - " [2 1]\n", - " [3 1]]\n", - "[[0. 0.65806633 0.43679866 0.78755153]\n", - " [0.38478979 0.28579072 0.1175966 0.54196134]\n", - " [0.65806633 0. 0.31616109 0.3822108 ]\n", - " [0.43679866 0.31616109 0. 0.63191089]\n", - " [0.78755153 0.3822108 0.63191089 0. ]]\n", - "[[0. 0.43679866]\n", - " [0.1175966 0.28579072]\n", - " [0. 0.31616109]\n", - " [0. 0.31616109]\n", - " [0. 0.3822108 ]]\n", - "[[0. 0.43679866]\n", - " [0.1175966 0.28579072]\n", - " [0. 0.31616109]\n", - " [0. 0.31616109]\n", - " [0. 0.3822108 ]]\n" - ] - } - ], - "source": [ - "# init 10 points \n", - "n = 5\n", - "import numpy as np\n", - "from sklearn.metrics import pairwise_distances\n", - "\n", - "points = np.random.rand(n, 2)\n", - "distance_matrix = pairwise_distances(points)\n", - "for i in range(n):\n", - " for j in range(n):\n", - " distance_matrix[i, j] = np.linalg.norm(points[i] - points[j])\n", - " \n", - "solution = np.random.choice([False, True], size=n, p=[0.5, 0.5])\n", - "print(solution)\n", - "distance2solution = distance_matrix[:, solution]\n", - "mmin = np.partition(distance2solution, 2, axis=-1)[:,:2]\n", - "argpartition = np.argpartition(distance2solution, 2, axis=-1)[:,:2]\n", - "print(argpartition)\n", - "mmin_arg = distance_matrix[:, solution][np.arange(n)[:, None], argpartition]\n", - "# print(distance_matrix)\n", - "print(distance2solution)\n", - "print(mmin)\n", - "# print(argpartition)\n", - "print(mmin_arg)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[0. 0.21715016 0.33132471 0.19052463 0.54986648 0.41810508\n", - " 0.75511092 0.19542409 0.50229276 0.3868646 ]\n", - " [0.21715016 0. 0.35967329 0.3556269 0.75465908 0.42573686\n", - " 0.92832302 0.39362976 0.68397764 0.4859949 ]\n", - " [0.33132471 0.35967329 0. 0.51429654 0.58080672 0.08766521\n", - " 1.03866136 0.49096679 0.78676377 0.71801827]\n", - " [0.19052463 0.3556269 0.51429654 0. 0.55490601 0.60192552\n", - " 0.57544324 0.07961631 0.32839122 0.21350254]\n", - " [0.54986648 0.75465908 0.58080672 0.55490601 0. 0.63075728\n", - " 0.7194792 0.4754162 0.54633061 0.72183098]\n", - " [0.41810508 0.42573686 0.08766521 0.60192552 0.63075728 0.\n", - " 1.12283786 0.57809215 0.87181293 0.80495882]\n", - " [0.75511092 0.92832302 1.03866136 0.57544324 0.7194792 1.12283786\n", - " 0. 0.56159289 0.25405459 0.48903412]\n", - " [0.19542409 0.39362976 0.49096679 0.07961631 0.4754162 0.57809215\n", - " 0.56159289 0. 0.3078841 0.27326372]\n", - " [0.50229276 0.68397764 0.78676377 0.32839122 0.54633061 0.87181293\n", - " 0.25405459 0.3078841 0. 0.30239869]\n", - " [0.3868646 0.4859949 0.71801827 0.21350254 0.72183098 0.80495882\n", - " 0.48903412 0.27326372 0.30239869 0. ]]\n", - "[False True True True False True True True False False]\n", - "[[0. 0.35967329 0.3556269 0.42573686 0.92832302 0.39362976]\n", - " [0.35967329 0. 0.51429654 0.08766521 1.03866136 0.49096679]\n", - " [0.3556269 0.51429654 0. 0.60192552 0.57544324 0.07961631]\n", - " [0.42573686 0.08766521 0.60192552 0. 1.12283786 0.57809215]\n", - " [0.92832302 1.03866136 0.57544324 1.12283786 0. 0.56159289]\n", - " [0.39362976 0.49096679 0.07961631 0.57809215 0.56159289 0. ]]\n", - "[0.3556269 0.08766521 0.07961631 0.08766521 0.56159289 0.07961631]\n", - "[[0. 0.3556269 0.08766521 0.07961631 0. 0.08766521\n", - " 0.56159289 0.07961631 0. 0. ]\n", - " [0. 0.3556269 0.08766521 0.07961631 0. 0.08766521\n", - " 0.56159289 0.07961631 0. 0. ]\n", - " [0. 0.3556269 0.08766521 0.07961631 0. 0.08766521\n", - " 0.56159289 0.07961631 0. 0. ]\n", - " [0. 0.3556269 0.08766521 0.07961631 0. 0.08766521\n", - " 0.56159289 0.07961631 0. 0. ]\n", - " [0. 0.3556269 0.08766521 0.07961631 0. 0.08766521\n", - " 0.56159289 0.07961631 0. 0. ]\n", - " [0. 0.3556269 0.08766521 0.07961631 0. 0.08766521\n", - " 0.56159289 0.07961631 0. 0. ]\n", - " [0. 0.3556269 0.08766521 0.07961631 0. 0.08766521\n", - " 0.56159289 0.07961631 0. 0. ]\n", - " [0. 0.3556269 0.08766521 0.07961631 0. 0.08766521\n", - " 0.56159289 0.07961631 0. 0. ]\n", - " [0. 0.3556269 0.08766521 0.07961631 0. 0.08766521\n", - " 0.56159289 0.07961631 0. 0. ]\n", - " [0. 0.3556269 0.08766521 0.07961631 0. 0.08766521\n", - " 0.56159289 0.07961631 0. 0. ]]\n" - ] - } - ], - "source": [ - "# init 10 points \n", - "n = 10\n", - "import numpy as np\n", - "from sklearn.metrics import pairwise_distances\n", - "\n", - "points = np.random.rand(n, 2)\n", - "distance_matrix = pairwise_distances(points)\n", - "for i in range(n):\n", - " for j in range(n):\n", - " distance_matrix[i, j] = np.linalg.norm(points[i] - points[j])\n", - " \n", - "solution = np.random.choice([False, True], size=n, p=[0.5, 0.5])\n", - "m = distance_matrix[:, solution][solution, :]\n", - "mmin = np.partition(m, 2, axis=-1)[:,1]\n", - "restore = np.zeros((n, n))\n", - "restore[:, solution] = mmin\n", - "\n", - "print(distance_matrix)\n", - "print(solution)\n", - "print(m)\n", - "print(mmin)\n", - "print(restore)\n", - "\n", - "# 将mmin按照solution恢复原尺寸，false的位置补0列，true的位置补mmin\n" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[1]\n", - "[1]\n" - ] - } - ], - "source": [ - "a = [1]\n", - "print(a)\n", - "print(list(a))" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[False True False True]\n", - " [ True False True False]\n", - " [False True False True]\n", - " [ True False True False]]\n", - "[(0, 1), (0, 3), (1, 2), (2, 3)]\n" - ] - } - ], - "source": [ - "import numpy as np\n", - "import networkx as nx\n", - "solution1 = [False, True, False, True]\n", - "solution2 = [True, False, True, False]\n", - "\n", - "# solution_matrix[i][j] = 1 if solution1[i] and !solution2[j]\n", - "solution_matrix = np.logical_and(np.array(solution1)[:, None], np.logical_not(np.array(solution2)[None, :]))\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[ True False True False True True False True True False]\n", - " [ True True False True False False False False False False]\n", - " [ True False False True False True False True False False]\n", - " [ True False False True False True True True True False]\n", - " [False False True False False False False False True False]\n", - " [False False False False False True True False False True]\n", - " [ True False True False False True False True True True]\n", - " [False True True True True False True False False False]\n", - " [False True True True False True False False False True]\n", - " [False True True False False True False True True True]]\n" - ] - } - ], - "source": [ - "# random nxn bool\n", - "n = 10\n", - "solution_matrix = np.random.choice([False, True], size=(n, n), p=[0.5, 0.5])\n", - "print(solution_matrix)\n", - "\n", - "# if solution_matrix[i][j] == 1, then solution_matrix[j][i] = 1\n", - "solution_matrix = np.logical_or(solution_matrix, solution_matrix.T)" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[2, 2, 3, 1, 2]\n" - ] - } - ], - "source": [ - "a = [\n", - " [True, False, True, False, True],\n", - " [False, True, True, False, False],\n", - " [True, True, True, False, False],\n", - " [False, False, False, True, True]\n", - "]\n", - "\n", - "result = [sum(sublist) for sublist in zip(*a)]\n", - "print(result)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 72, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[ 71.41590974 136.395999 107.69667527 113.67004198 121.34052811]\n", - " [ 8.24500825 16.66169284 150.51499016 100.86207765 189.98448317]\n", - " [ 47.46595456 0.83386271 8.11927175 14.5288237 82.16321367]\n", - " [149.58413362 118.14886729 126.25917039 159.2670266 12.87411618]\n", - " [ 58.30716684 115.2976154 20.11650907 0.91643344 199.49830585]\n", - " [189.70973312 29.17579981 93.34984535 144.49503616 108.74375928]\n", - " [ 66.61164501 167.19244399 139.38867947 52.12149803 23.92542262]\n", - " [124.99918862 171.27254716 176.59560018 123.54288949 61.2720056 ]\n", - " [ 62.94516036 112.18738057 157.45099897 43.03534539 192.60239645]\n", - " [ 69.50587057 60.4803078 159.78661763 69.47100966 147.72643729]]\n" - ] - } - ], - "source": [ - "# rand 4 to 6\n", - "import numpy as np\n", - "n = 10\n", - "m = 5\n", - "a = np.random.rand(n, m) * 200\n", - "print(a)" - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[20.24185503]\n" - ] - } - ], - "source": [ - "# open /data2/suhongyuan/flp/gurobi_result/2013_123.pkl\n", - "import pickle\n", - "with open(\"/data2/suhongyuan/flp/gurobi_result/2000_200.pkl\", \"rb\") as f:\n", - " result = pickle.load(f)\n", - " print(result)" - ] - }, - { - "cell_type": "code", - "execution_count": 95, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 95, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import pickle\n", - "\n", - "data_path1 = '/data2/suhongyuan/flp/output/dg-agent-rl-gnn-seed-1_1/best-models/eval_500_44_1.pkl'\n", - "data_path2 = '/data2/suhongyuan/flp/output/dg-agent-rl-gnn-seed-1_1/best-models/eval_500_44_19.pkl'\n", - "data_path3 = '/data2/suhongyuan/flp/output/dg-agent-rl-gnn-seed-1_1/best-models/eval_500_44_21.pkl'\n", - "data1 = pickle.load(open(data_path1, 'rb'))\n", - "data2 = pickle.load(open(data_path2, 'rb'))\n", - "data3 = pickle.load(open(data_path3, 'rb'))\n", - "# best_data[i] = max(data1[:i+1])\n", - "# plot data123\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "\n", - "plt.plot(data1, label='1')\n", - "plt.plot(data2, label='2')\n", - "plt.plot(data3, label='3')" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "torch-1.13-py310", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.12" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/facility_location/train.py b/facility_location/train.py deleted file mode 100644 index 91b90153e0a1bce12a38672df61925c36d663929..0000000000000000000000000000000000000000 --- a/facility_location/train.py +++ /dev/null @@ -1,274 +0,0 @@ -import os -import setproctitle - -from absl import app, flags -import time -import random -import pickle -from typing import Union, Optional, Text - -import numpy as np -import torch as th - -import sys -import gymnasium -sys.modules["gym"] = gymnasium - -from stable_baselines3.common.env_util import make_vec_env -from stable_baselines3.common.vec_env import VecNormalize, VecEnvWrapper, DummyVecEnv -from stable_baselines3.common.evaluation import evaluate_policy -from stable_baselines3 import PPO -from stable_baselines3.common.monitor import Monitor -from stable_baselines3.common.callbacks import CallbackList, CheckpointCallback, EvalCallback - -from facility_location.env import PMPEnv, EvalPMPEnv -from facility_location.utils.config import Config -from facility_location.agent import MaskedFacilityLocationActorCriticPolicy -from facility_location.utils.policy import get_policy_kwargs -from utils import DictVecCheckNan, UpdateValEnv, UpdateValEnvAndStopTrainingOnNoModelImprovement, HParamCallback - -import warnings -warnings.filterwarnings('ignore') - - -flags.DEFINE_string('cfg', None, 'Configuration file.') -flags.DEFINE_integer('global_seed', 0, 'Used in env and weight initialization, does not impact action sampling.') -flags.DEFINE_bool('debug', False, 'Whether to use debug mode.') -flags.DEFINE_string('root_dir', '/data2/suhongyuan/flp', 'Root directory for writing ' - 'logs/summaries/checkpoints.') -flags.DEFINE_bool('tmp', False, 'Whether to use temporary storage.') -flags.DEFINE_bool('save_ckpt', True, 'Whether to save checkpoints.') -flags.DEFINE_bool('reset_num_timesteps', True, 'Whether to reset the current timestamp number.') -flags.DEFINE_integer('save_freq', 10000, 'Save ckpt every save_freq steps.') -flags.DEFINE_bool('validate', True, 'Whether to test on validation set during training.') -flags.DEFINE_integer('val_freq', 5000, 'Test on validation set every val_freq steps.') -flags.DEFINE_bool('early_stop', True, 'Whether to stop training if no improvements are made.') -flags.DEFINE_integer('early_stop_patience', 10, 'Patience of early stop.') -flags.DEFINE_integer('early_stop_min_num_vals', 50, 'Patience of early stop.') -flags.DEFINE_enum('agent', 'rl-mlp', ['rl-mlp', 'rl-gnn', 'rl-agnn'], 'Agent type.') -flags.DEFINE_integer('num_envs', 20, 'Number of environments for parallel training.') -flags.DEFINE_float('lr', 3e-4, 'Learning rate.') -flags.DEFINE_integer('steps_per_iteration', 5000, 'Number of timestamps per training iteration.') -flags.DEFINE_integer('batch_size', 512, 'Mini-batch size.') -flags.DEFINE_integer('optim_epochs_per_iteration', 10, 'Number of epochs for optimization per iteration.') -flags.DEFINE_float('gamma', 0.99, 'Discount factor.') -flags.DEFINE_float('gae_lambda', 0.95, 'Factor for trade-off of bias vs variance for Generalized Advantage Estimator.') -flags.DEFINE_float('ent_coef', 0.01, 'Weight for entropy loss.') -flags.DEFINE_float('vf_coef', 0.5, 'Weight for value loss.') -flags.DEFINE_integer('train_steps', 1_000_000, 'Total number of training steps.') -flags.DEFINE_bool('normalize_reward', True, 'Whether to normalize reward during training.') -flags.DEFINE_string('device', 'cuda:3', 'gpu index.') -FLAGS = flags.FLAGS - - -def get_model(cfg: Config, - env: Union[VecEnvWrapper, DummyVecEnv, EvalPMPEnv], - training: bool = True, - load_from_file: bool = False, - ckpt_path: Text = None) -> PPO: - policy_kwargs = get_policy_kwargs(cfg) - tb_log_path = cfg.tb_log_path if training else None - n_steps = max(FLAGS.steps_per_iteration // FLAGS.num_envs, 10) if training else 10 - if not load_from_file: - model = PPO(MaskedFacilityLocationActorCriticPolicy, - env, - learning_rate=FLAGS.lr, - n_steps=n_steps, - batch_size=FLAGS.batch_size, - n_epochs=FLAGS.optim_epochs_per_iteration, - gamma=FLAGS.gamma, - gae_lambda=FLAGS.gae_lambda, - ent_coef=FLAGS.ent_coef, - vf_coef=FLAGS.vf_coef, - verbose=1, - policy_kwargs=policy_kwargs, - tensorboard_log=tb_log_path, - device=FLAGS.device, - ) - else: - model = PPO.load(ckpt_path, - env=env, - learning_rate=FLAGS.lr, - n_steps=n_steps, - batch_size=FLAGS.batch_size, - n_epochs=FLAGS.optim_epochs_per_iteration, - gamma=FLAGS.gamma, - gae_lambda=FLAGS.gae_lambda, - ent_coef=FLAGS.ent_coef, - vf_coef=FLAGS.vf_coef, - verbose=1, - tensorboard_log=tb_log_path) - return model - - -def get_best_model(cfg: Config) -> PPO: - best_model_path = os.path.join(cfg.best_model_path, 'best_model.zip') - model = PPO.load(best_model_path) - return model - -def get_latest_model(cfg: Config) -> PPO: - latest_model_path = os.path.join(cfg.latest_model_path, 'latest_model.zip') - model = PPO.load(latest_model_path) - return model - - -def get_callbacks(cfg: Config) -> Optional[CallbackList]: - callback_list = [] - hparam_callback = HParamCallback() - callback_list.append(hparam_callback) - if FLAGS.save_ckpt: - save_freq = max(FLAGS.save_freq // FLAGS.num_envs, 1) - ckpt_callback = CheckpointCallback( - save_freq=save_freq, - save_path=cfg.ckpt_save_path, - name_prefix="rl_model", - save_replay_buffer=False, - save_vecnormalize=True, - ) - callback_list.append(ckpt_callback) - if FLAGS.validate: - val_np = cfg.eval_specs['val_np'] - val_env = EvalPMPEnv(cfg, 'val', val_np) - val_num_cases = val_env.get_eval_num_cases() - - val_env = Monitor(val_env) - val_env = DummyVecEnv([lambda: val_env]) - val_env = VecNormalize(val_env, norm_obs=False, norm_reward=False) - if FLAGS.debug: - val_env = DictVecCheckNan(val_env, raise_exception=True) - - if FLAGS.early_stop: - callback_after_eval = UpdateValEnvAndStopTrainingOnNoModelImprovement( - val_env, - max_no_improvement_evals=FLAGS.early_stop_patience, - min_evals=FLAGS.early_stop_min_num_vals, - ) - else: - callback_after_eval = UpdateValEnv(val_env) - - val_freq = max(FLAGS.val_freq // FLAGS.num_envs, 1) - val_callback = EvalCallback( - val_env, - callback_after_eval=callback_after_eval, - best_model_save_path=cfg.best_model_path, - n_eval_episodes=val_num_cases, - log_path=cfg.best_model_path, - eval_freq=val_freq, - deterministic=True, - render=False) - callback_list.append(val_callback) - - if len(callback_list) == 0: - callback_list = None - else: - callback_list = CallbackList(callback_list) - - return callback_list - - -def calculate_gap(gurobi_obj, method_obj): - method_obj = np.array(method_obj) - - gap = (method_obj - gurobi_obj) / gurobi_obj - mean_gap = np.mean(gap) - std_gap = np.std(gap) - - return mean_gap, std_gap - -def main(_): - setproctitle.setproctitle('rl@suhy') - - th.manual_seed(FLAGS.global_seed) - np.random.seed(FLAGS.global_seed) - random.seed(FLAGS.global_seed) - - cfg = Config(FLAGS.cfg, FLAGS.global_seed, FLAGS.tmp, FLAGS.root_dir, FLAGS.agent, FLAGS.reset_num_timesteps) - - env = make_vec_env(PMPEnv, n_envs=FLAGS.num_envs, seed=FLAGS.global_seed, env_kwargs={'cfg': cfg}) - env = VecNormalize(env, norm_obs=False, norm_reward=FLAGS.normalize_reward) - - if FLAGS.debug: - th.autograd.set_detect_anomaly(True) - np.seterr(all='raise') - env = DictVecCheckNan(env, raise_exception=True) - - if FLAGS.reset_num_timesteps: - print(th.cuda.is_available()) - model = get_model(cfg, env) - print(f'Creating new model.') - else: - latest_model_path = os.path.join(cfg.latest_model_path, 'latest_model') - print(f'Loading model from {latest_model_path}') - model = get_model(cfg, env, load_from_file=True, ckpt_path=latest_model_path) - callback_list = get_callbacks(cfg) - model.learn( - total_timesteps=FLAGS.train_steps, - callback=callback_list, - tb_log_name=cfg.tb_log_name, - reset_num_timesteps=FLAGS.reset_num_timesteps, - progress_bar=True) - latest_model_path = os.path.join(cfg.latest_model_path, 'latest_model.zip') - model.save(latest_model_path) - - if cfg.eval_specs['region'] is None: - eval_np = cfg.eval_specs['test_np'] - else: - eval_path = './data/{}/pkl'.format(cfg.eval_specs['region']) - files = os.listdir(eval_path) - eval_np = [] - - for f in files: - eval_np.append(tuple(map(int, f.split('.')[0].split('_')))) - eval_np = sorted(eval_np, key=lambda x: (x[0], x[1])) - - for (n, p) in eval_np: - print(f'case ({n}, {p}):') - eval_env = EvalPMPEnv(cfg, 'test', (n, p)) - eval_num_cases = eval_env.get_eval_num_cases() - - eval_env = Monitor(eval_env) - eval_env = DummyVecEnv([lambda: eval_env]) - if FLAGS.debug: - eval_env = DictVecCheckNan(eval_env, raise_exception=True) - test_model = get_model(cfg, eval_env, training=False) - trained_best_model = get_best_model(cfg) - test_model.set_parameters(trained_best_model.get_parameters()) - start_time = time.time() - episode_rewards, _ = evaluate_policy(test_model, eval_env, n_eval_episodes=eval_num_cases, return_episode_rewards=True) - eval_time = time.time() - start_time - - gurobi_obj = pickle.load(open(f'gurobi_result/{n}_{p}.pkl', 'rb')) - mean_gap, std_gap = calculate_gap(gurobi_obj, episode_rewards) - print(f'\t mean gap: {mean_gap}') - print(f'\t std gap: {std_gap}') - print(f'\t time: {eval_time / eval_num_cases}') - - for (n, p) in eval_np: - print(f'case ({n}, {p}):') - eval_env = EvalPMPEnv(cfg, 'test', (n, p)) - eval_num_cases = eval_env.get_eval_num_cases() - - eval_env = Monitor(eval_env) - eval_env = DummyVecEnv([lambda: eval_env]) - if FLAGS.debug: - eval_env = DictVecCheckNan(eval_env, raise_exception=True) - test_model = get_model(cfg, eval_env, training=False) - trained_best_model = get_latest_model(cfg) - test_model.set_parameters(trained_best_model.get_parameters()) - start_time = time.time() - episode_rewards, _ = evaluate_policy(test_model, eval_env, n_eval_episodes=eval_num_cases, return_episode_rewards=True) - eval_time = time.time() - start_time - - gurobi_obj = pickle.load(open(f'gurobi_result/{n}_{p}.pkl', 'rb')) - mean_gap, std_gap = calculate_gap(gurobi_obj, episode_rewards) - print(f'\t mean gap: {mean_gap}') - print(f'\t std gap: {std_gap}') - print(f'\t time: {eval_time / eval_num_cases}') - - -if __name__ == '__main__': - flags.mark_flags_as_required([ - 'cfg', - 'global_seed' - ]) - app.run(main) diff --git a/facility_location/utils/__pycache__/__init__.cpython-39.pyc b/facility_location/utils/__pycache__/__init__.cpython-39.pyc index cbf565531907ae23b84e6bc1ad4c05fe3c76d8dd..bfd8dffbc14cfacd47065ea3cbee35fd051a11b2 100644 Binary files a/facility_location/utils/__pycache__/__init__.cpython-39.pyc and b/facility_location/utils/__pycache__/__init__.cpython-39.pyc differ diff --git a/facility_location/utils/__pycache__/config.cpython-39.pyc b/facility_location/utils/__pycache__/config.cpython-39.pyc index 5c176d4a450ab8a44e6af946911e74b0b085f397..0d221ec213bdcfb8883271fafd276e7b35a24822 100644 Binary files a/facility_location/utils/__pycache__/config.cpython-39.pyc and b/facility_location/utils/__pycache__/config.cpython-39.pyc differ diff --git a/facility_location/utils/__pycache__/policy.cpython-39.pyc b/facility_location/utils/__pycache__/policy.cpython-39.pyc index 0bac952ae389473eb3ba4d80949ca487453fd989..436853b284fc6bbb70fc7c03ee50fd20e7c57466 100644 Binary files a/facility_location/utils/__pycache__/policy.cpython-39.pyc and b/facility_location/utils/__pycache__/policy.cpython-39.pyc differ diff --git a/facility_location/utils/config.py b/facility_location/utils/config.py index 8300135fbf7ebae9e8b65a4f1d131ccb7678c2c7..7e4d0ad242fcfa0cb67217f65fae20c5cf637d87 100644 --- a/facility_location/utils/config.py +++ b/facility_location/utils/config.py @@ -3,7 +3,7 @@ from typing import Text, Dict from stable_baselines3.common.utils import get_latest_run_id -from utils import load_yaml +import yaml class Config: @@ -15,7 +15,16 @@ class Config: if cfg_dict is not None: cfg = cfg_dict else: - file_path = 'facility_location/cfg/{}.yaml'.format(self.cfg_id) + file_path = './facility_location/cfg/{}.yaml'.format(self.cfg_id) + class TupleSafeLoader(yaml.SafeLoader): + def construct_python_tuple(self, node): + return tuple(self.construct_sequence(node)) + TupleSafeLoader.add_constructor( + u'tag:yaml.org,2002:python/tuple', + TupleSafeLoader.construct_python_tuple) + def load_yaml(file_path): + cfg = yaml.load(open(file_path, 'r'), Loader=TupleSafeLoader) + return cfg cfg = load_yaml(file_path) # create dirs self.root_dir = '/tmp/flp' if tmp else root_dir diff --git a/facility_location/viz/demo.ipynb b/facility_location/viz/demo.ipynb deleted file mode 100644 index bf329fc7b3ed96fa34c21d5c82f421fb7ce3e6a3..0000000000000000000000000000000000000000 --- a/facility_location/viz/demo.ipynb +++ /dev/null @@ -1,203 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "5f379a6e", - "metadata": {}, - "source": [ - "# import" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "1dfb2732", - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "import os\n", - "import time\n", - "from pprint import pprint\n", - "import socket\n", - "\n", - "import warnings\n", - "warnings.filterwarnings(\"ignore\")\n", - "\n", - "hostname = socket.gethostname()\n", - "if hostname == 'S4rawBer2y.local':\n", - " sys.path.append('/Users/zhengyu/Seafile/code/workspace/flp')\n", - " root_dir = '/Users/zhengyu/Seafile/code/workspace/flp'\n", - "elif hostname == 'DL4':\n", - " sys.path.append('/data2/zhengyu/workspace/flp')\n", - " root_dir = '/data2/zhengyu/data/flp'\n", - "elif hostname == 'rl2':\n", - " sys.path.append('/home/zhengyu/workspace/flp')\n", - " root_dir = '/data/zhengyu/flp'\n", - "\n", - "from facility_location.env import PMPEnv, EvalPMPEnv\n", - "from facility_location.utils.config import Config\n", - "from facility_location.eval import get_agent\n", - "import numpy as np\n", - "\n", - "from stable_baselines3.common.env_checker import check_env\n", - "from stable_baselines3.common.env_util import make_vec_env\n", - "from stable_baselines3.common.vec_env import VecNormalize\n", - "from stable_baselines3.common.evaluation import evaluate_policy\n", - "from stable_baselines3 import PPO" - ] - }, - { - "cell_type": "markdown", - "id": "386cc445", - "metadata": {}, - "source": [ - "# create env" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "id": "531a8606", - "metadata": {}, - "outputs": [], - "source": [ - "cfg_id = 'uniform_debug'\n", - "seed = 111\n", - "temp = False\n", - "agent = 'rl-gnn'\n", - "cfg = Config(cfg_id, seed, temp, root_dir, agent)\n", - "\n", - "eval_env = EvalPMPEnv(cfg, 'test')\n", - "eval_num_cases = eval_env.get_eval_num_cases()\n", - "eval_np = eval_env.get_eval_np()" - ] - }, - { - "cell_type": "markdown", - "id": "7e32ec1b", - "metadata": {}, - "source": [ - "# load model" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "id": "2149fd7b", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Using cuda device\n", - "Wrapping the env with a `Monitor` wrapper\n", - "Wrapping the env in a DummyVecEnv.\n" - ] - } - ], - "source": [ - "model_path = '/data/zhengyu/flp/output/uniform-agent-rl-gnn-seed-111_2/best-models/best_model.zip'\n", - "agent = get_agent(cfg, eval_env, model_path)" - ] - }, - { - "cell_type": "markdown", - "id": "95d2fbf0", - "metadata": {}, - "source": [ - "# visualize" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "id": "8a335ffd", - "metadata": {}, - "outputs": [], - "source": [ - "eval_env.set_eval_np_idx(1)" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "id": "173e255f", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAADdUAAAbqCAYAAACdKHjGAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/NK7nSAAAACXBIWXMAAC4jAAAuIwF4pT92AAEAAElEQVR4nOzdd3iUZdbH8d9MZtIbJaElJBQB6SJFUAmoWBAEXHtFbNjFzuq+iLoWdlewLnZsqOsKYgEUkd6lFwEpodcU0pMpz/sHhiVA5nkmmTTy/VwXlzsz5z73mWSShbnnPMdmGIYhAAAAAAAAAAAAAAAAAAAAAAAAAABqAXtVFwAAAAAAAAAAAAAAAAAAAAAAAAAAQGWhqQ4AAAAAAAAAAAAAAAAAAAAAAAAAUGvQVAcAAAAAAAAAAAAAAAAAAAAAAAAAqDVoqgMAAAAAAAAAAAAAAAAAAAAAAAAA1Bo01QEAAAAAAAAAAAAAAAAAAAAAAAAAag2a6gAAAAAAAAAAAAAAAAAAAAAAAAAAtQZNdQAAAAAAAAAAAAAAAAAAAAAAAACAWoOmOgAAAAAAAAAAAAAAAAAAAAAAAABArUFTHQAAAAAAAAAAAAAAAAAAAAAAAACg1qCpDgAAAAAAAAAAAAAAAAAAAAAAAABQa9BUBwAAAAAAAAAAAAAAAAAAAAAAAACoNWiqAwAAAAAAAAAAAAAAAAAAAAAAAADUGjTVAQAAAAAAAAAAAAAAAAAAAAAAAABqDZrqAAAAAAAAAAAAAAAAAAAAAAAAAAC1Bk11AAAAAAAAAAAAAAAAAAAAAAAAAIBag6Y6AAAAAAAAAAAAAAAAAAAAAAAAAECtQVMdAAAAAAAAAAAAAAAAAAAAAAAAAKDWoKkOAAAAAAAAAAAAAAAAAAAAAAAAAFBr0FQHAAAAAAAAAAAAAAAAAAAAAAAAAKg1aKoDAAAAAAAAAAAAAAAAAAAAAAAAANQaNNUBAAAAAAAAAAAAAAAAAAAAAAAAAGoNmuoAAAAAAAAAAAAAAAAAAAAAAAAAALUGTXUAAAAAAAAAAAAAAAAAAAAAAAAAgFqDpjoAAAAAAAAAAAAAAAAAAAAAAAAAQK1BUx0AAAAAAAAAAAAAAAAAAAAAAAAAoNagqQ4AAAAAAAAAAAAAAAAAAAAAAAAAUGvQVAcAAAAAAAAAAAAAAAAAAAAAAAAAqDVoqgMAAAAAAAAAAAAAAAAAAAAAAAAA1Bo01QEAAAAAAAAAAAAAAAAAAAAAAAAAag2a6gAAAABYZrPZfP7p06ePaY4+ffqY5jHz7LPPmuaYPXt2+Z8wgEqRnJzs8+c5OTm5qksEAAAAAAAAANQys2fPNj2PevbZZyutngkTJpjWM2HChEqrBycLxDkoUBk4mwMAAACOclR1AQAAAAAAAAAAAAAAAAAAnEp6ero2bNigXbt26eDBg8rPz5fb7VZYWJgiIyOVkJCg5s2bq3Xr1rLbucY8AAAAAACwhqY6AAAA1DgTJkzQbbfdVuH7GIZR4XsANYGVq2Z+9NFHGjp0aMUXAwAAAAAAAAAATmter1czZszQt99+qxkzZmjr1q2W1kVERKhHjx4aMGCArr76aiUkJFRwpQCqm3HjxmnEiBE+YyIjI3XgwAGFh4eXe7+0tDQ1atRILpfLZ9x7772nO+64o9z7AQAAAAgsLs0DAAAAoNZ69tlnZbPZfP6ZPXt2VZcJVAtmPyt9+vSp6hIBAAAAAAAAADWYy+XSG2+8oRYtWujSSy/V+PHjLTfUSVJubq5+/fVXPfLII0pOTtZVV12ldevWVWDFqImSk5N9nnckJydXdYkohxtvvFFOp9NnTE5OjiZPnhyQ/b788kvThrrw8HBdc801AdkPAAAAQGDRVAcAAAAAAAAAAAAAAAAAqDLz589X27Zt9eCDDyo1NbXc+Twej7755ht17txZDz74oPLz88tfJIBqLy4uTv379zeN+/TTTwOyn5U8Q4YMUXR0dED2AwAAABBYNNUBAAAAAAAAAAAAAAAAAKrEK6+8opSUFG3ZsiXguT0ej9544w117do1IM16AKq/oUOHmsb88ssv2r9/f7n2+eOPP7RkyZKA1AMAAACgatBUBwAAAAAAAAAAAAAAAACodA899JCeeuopeb3eCt1nw4YN6tmzpzZu3Fih+wCoepdffrni4uJ8xng8Hk2cOLFc+1iZUpeYmKgLLrigXPsAAAAAqDg01QEAAACwzDAMn39mz55dKXU8++yzprX06dOnUmoBUH6pqak+f565ejAAAAAAAAAAnH5eeOEFvf76636tqVu3rtq3b68ePXqoadOmcjgcltfu379fl1xyifbt2+dvqdXC0KFDTc/HmIhVtWbPnm36PULFczqduuGGG0zjrDTFlcYwDH322Wemcbfccovsdj6mCwAAAFRX/G0dAAAAAAAAAAAAAAAAAFBpZs6cqVGjRlmKdTgcevDBB7V8+XKlpaVp7dq1Wrx4sXbs2KHDhw9rwoQJat++vaVcO3fu1M0331zhk/EAVC0rDaarVq3SunXrypR/wYIF2r59e0DqAAAAAFB1aKoDAADAacvsKoBcJRAAAAAAAAAAAACoXAUFBRo2bJilxrZmzZpp6dKleu2119SlS5eTHo+JidGtt96q5cuX6/HHH7e0/8yZM/Xuu+/6XTeAmqNz587q1KmTadwnn3xSpvxWptyde+65atmyZZnyAwAAAKgcjqouAAAAADgdHDhwQLt27dLevXu1f/9+5eXlKT8/X263W8HBwYqKilJcXJyaN2+uNm3aKCIiosJrys7O1ooVK3To0CGlp6crIyNDXq9XERERql+/vlq0aKE2bdooJiamwmsBKtKOHTu0fv16paenKz09XdnZ2YqOjlbdunVVr149dezYUY0bN67wOgzD0ObNm/XHH38oIyNDGRkZysrKUmhoqKKiotS0aVO1bNlSLVu2lM1mK9c+e/fu1e7du7Vnzx4dPHhQ+fn5ys/Pl8fjUUhIiGJiYhQfH68WLVqodevWCgkJCeAzrbk2b96sTZs2KSMjQ+np6crLy1NMTIzq1q2ruLg4nXXWWapXr16V1XfgwAEtWbJE27ZtU25urqKjoxUXF6fu3burefPmVVYXAAAAAAAAAATSuHHjtHPnTtO4hg0basaMGWrRooVpbHBwsMaMGSPDMPTPf/7TNH7UqFG66aabFBkZaalmf+3atUu//fabUlNTlZeXp/r166tx48bq3r27GjRoUCF7Bkp+fr5WrFihffv2HTt7cTgcqlevnurVq6czzzxTZ5xxRoXX4fV6tW7dOqWmph47d8nJyVF4eLiio6OVnJysli1bKjk5ucJrQUler1dr167V9u3bj51DFxUVHXuNJCUl6ayzzlJQUFCV1jl06FCNGDHCZ8zEiRP18ssvy263Pp+iqKhIX3/9taX9rfB6vdq5c6f27NmjvXv36vDhw8fO/gzDUEhIiGJjY9WwYUO1bNlSZ5xxhhwOPvrrL5fLpZUrV2r37t3HfrdJOnam3LJlS7Vv375c57gAAACoefibNQAAAOCnbdu2aeHChVq4cKFWr16tDRs2KDMz0/L6oKAgdezYUQMHDtTQoUPVrFmzgNW2atUqvf/++5o3b57WrVtneoVPm82mtm3bqk+fPhoyZIhSUlJ8vgFv9gZySkqKZs+eXZbS/fLss89q9OjRPmNmzZqlPn36lLgvOTlZO3bs8Guvvn37msYU79W9e3ctW7as1LiGDRtq586dcjqdftXQsmVLbd261efjmzdvrlVv8P/888+aMGGC5s2bp927d5vGN2/eXL1799Ydd9yhc889N2B15OXl6bPPPtOUKVO0ePHiY4cvvsTGxqpnz57q37+/hgwZoiZNmpQaaxiGNm7cqAULFmjRokVau3atfv/9d+Xk5FiuMTg4WF27dtWgQYN06623WjqsnzBhgm677TbLe0jSnDlzyvw7wuxnMykpSampqX7VI0kej0eTJk3SF198oQULFujgwYM+4202m9q0aaM+ffronnvuUYcOHfzec/bs2aa/N0aNGqVnn3322O3Jkydr7Nixmj9/fqmTUs844ww9+eSTGjp0aJUfQgMAAAAAAABAWblcLr3++uuWYt977z1LDXXHGzNmjGbPnq3ffvvNZ9zBgwf18ccf67777vMrvy+GYeiLL77Q2LFjS90/KChIvXv31kMPPaRBgwb5ld/Ke/cfffSR5Uae4+3fv1/jx4/XTz/9pOXLl8vlcvmMb9Sokfr27avhw4fr/PPP93u/0mRkZOjDDz/UtGnTtHTpUmVnZ5uuiY+PV69evTRw4EANGjSoxMXzrLxnf6IdO3aYnneUdm7Rp08fzZkzx+faU50D9OjRQ0uXLi11TXx8vPbs2eN3I1Xbtm31+++/l/p4kyZNtGPHDkvnDvn5+frkk0/07bffauHChcrKyvIZHxUVpXPPPVc33XSTrr322ippArvxxhv1xBNP+Hw979mzR7/++qsuuugiy3l/+OEHZWRk+IwJDw/XNddcc9L9Ho9Ha9as0cKFC7V48WKtW7dOmzZtUn5+vuX9w8PDdc455+jKK6/UTTfdVGUX0Q3UZwfKcrZmVWZmpt5//339+OOPWrJkienXuW7duurdu7duv/12XX755bXq/B0AAKC2sn55DQAAAADav3+/WrRooZtvvln//ve/tXDhQr8a6qSjb5SvXLlSzz33nFq2bKlbb71Vhw4dKlddv/76q1JSUnTWWWfprbfe0po1a0wb6qSjhzbr16/XW2+9pYsuukiff/55ueqo7R599FGfj+/fv1+TJk3yK+fixYt9NtRJ0h133FFr3tD/73//q44dO+qSSy7RF198YamhTjraDDthwgSdd9556tmzp2bOnFmuOnJycvTUU08pISFBd999t6ZOnWqpoU46engzbdo0PfDAAzrvvPN8xi5ZskRt27bVnXfeqQ8//FDLli3zq6FOOnq1zIULF+rJJ59U06ZN9cgjjyg3N9evHDWNYRh65513dMYZZ+iaa67R5MmTTRvqitf9/vvv+ve//62OHTvq0ksv1YoVKyqszl27dumCCy7QlVdeqXnz5pXaUCdJf/zxh+644w6df/75ll9rAAAAAAAAAFDd/PDDD9q3b59p3CWXXKIBAwb4nd9ms+m1116zFPvee+/5nb80u3fvVu/evXXjjTf6bOjzeDyaNWuWBg8erMGDB1t677oi7d27V8OGDVNSUpJGjx6txYsXmzbUSdK+ffs0ceJE9e7dW7169dLChQvLVcfBgwd1zz33KCEhQY899phmzpxpqaGueO23336r22+/XVdddVW56qgqd955p8/HDx48qJ9++smvnL/99pvPhjpJGjZsmGlDXWFhoUaPHq2mTZtq+PDhmj59umlDnSRlZ2dr+vTpuummm9SyZUtNmDDBn/IDIi4uTv379zeN+/TTT/3KayV+yJAhio6OPun+r7/+Wl26dNH999+vzz77TKtWrfKroU46etHPX3/9Vffff78SEhL097//XW63268cp7sjR45oxIgRSkxM1OOPP67Zs2db+jqnp6fr22+/1cCBA9WhQwf98MMPlVAtAAAAqhJNdQAAAEAV8nq9+uSTT9S5c2dt3rzZ7/WFhYUaMWKELrroIs2dO7fc9fhq6IC5q666SsnJyT5j3nrrLb9ymjU6Op3OMl1xtKbJy8vTsGHDdPXVV2vt2rXlyrV48WL169dPTz/9tDweT5nWd+7cWa+88orpVSjNVPbPXFFRkcaOHavu3buXu5m3ukpLS9PAgQM1fPhwbd++vVy5fvrpJ/Xs2VNvvPFGgKr7n2XLlqlr166aNWuWX+sWLVqklJQUvw9YAQAAAAAAAKA6mDx5sqW4e++9t8x79OrVS506dTKNW7169Smnjfnr999/V/fu3TV//ny/1k2ZMkUpKSnav39/uWsoi6lTp6pTp0766KOPVFRUVOY8xe9bjxkzpkznHj/88IM6dOig8ePHKy8vr8x1SDX3rPP6669XVFSUz5hPPvnEr5xmjV92u1133HGHz5jNmzfrnHPO0bPPPqvDhw/7tf/xduzYodtuu0033HCD5WbJQLFyjjpp0iTLr7309HRNnTo1IPsGQk5Ojp555hldeOGFnB39aenSpTrrrLM0btw4vy9Werz169dr4MCBeuSRRyw1GwMAAKBmoqkOAAAAqAb27t2r/v37+9Xkkp6ernPPPVfjxo2rsQdEp5ugoCA99NBDPmPmzZtnuSnM7Xbrq6++8hlzxRVXqEGDBpZrrImys7N1/vnn66OPPgpYTsMw9OKLL2rgwIF+Xbnxww8/1HnnnWc6PbC627Bhg6644orT7nBt7969Ovvss/Xjjz8GLGdRUZEefPBB3X333QHLuXLlSvXr16/MVyBet26dRo4cGbB6AAAAAAAAAKCyzJw50zSmTp06uvTSS8u1zw033GAp7pdffinXPnv27NFFF11kafreqWzcuFF9+vSp9EajN954QwMGDChXo9Tx3G63nnzySQ0fPtyvdc8995wGDhxY5RP7qlpERITpa/a7777TkSNHLOVzu9368ssvfcZccsklatq0aamPL168WGeffbZWrVplaU8rvvjiC/Xp00e5ubkBy2nm8ssvV1xcnM+YnJwcTZo0yVK+r776yrQJNTExURdccIHlGgNh7ty5uvHGG+X1eit13+pm8uTJOu+888p94c3jjR07VoMHDy7TxVoBAABQ/dFUBwAAgNOWzWYr85/MzMxKr3fr1q167LHHLMUWFhaqf//+Wr58eQVXBX/dcccdio2N9RljdVrdjBkzTBst77zzTqul1Ugej0fXXnutVqxYUSH5p02bpvvvv99S7KRJk3THHXecNgcmixcv1ssvv1zVZQRMbm6uBgwYoB07dlRI/nfffVcvvfRSQHL5c/Bdmrfeekt79+4NSD0AAAAAAAAAUBn27Nlj6X3NHj16KDg4uFx79e7d21LcsmXLyrXP+++/X+73ajdt2qRHH320XDn88e233+rhhx+ukIt2vvvuu5bPHsaNG6dRo0YFvIaa6q677vL5eEFBgb7++mtLuX766SfTRkVf+23dulVXXHFFuaZ8lWbFihW69tprK+28zel0WmqyNZvs50/cLbfcIru98j+aO3nyZH388ceVvm91sWTJEt14440VMlVu6tSpuu+++wKeFwAAAFWPpjoAAAAgAOx2uxo3bqx27dqpa9euOv/889WzZ0917NhR8fHxlvNMnDhR27ZtM4178skntWTJEr9qbNq0qbp27aoePXqoZcuWcjqdfq2HNZGRkaYTrT7//HNlZWWZ5vr88899Pp6cnKx+/fr5VV9N88ILL2jatGmWYoOCgnTmmWeqZ8+eatWqlWw2m6V177zzjj777DOfMbt27dLQoUP9OmCOjIxU27Zt1atXL79/F5gJCgpSYmKi2rdvr+7du+v888/XOeeco/bt26tu3bqW87z++uuWXos1wf3336+VK1daig0JCVG7du3Us2dPNWvWzPIeTz/9tObNm1fWEktlt9vVpk0bnXPOOZYnT7rdbn3wwQcBrwUAAAAAAAAAKsrGjRstxXXq1Knce3Xo0MHSOYHVmqwKCQlR+/btdc455ygxMdHyuvfee0+zZs0KaC2nsmPHDsvTrOx2u1q2bKlevXqpa9euqlOnjqU9/vrXv5peLPG3336zfLHRYrGxserQoYN69eqldu3aWa6npujSpYu6dOniMyZQjV+NGzfWgAEDTvmY1+vVlVdeaXrhz+Nzde/eXT179rT8mv/xxx/1xhtvWIoNhKFDh5rGzJw503Ti5NatW7Vo0aKA7Hcip9Op5ORkdejQQT169ND555+vHj166Mwzz1R0dLTlPC+++OJpc4FQf2RnZ2vw4MHKz8+3FJ+UlKRzzjlH3bt3t3w298477+jbb78tR5UAAACojhxVXQAAAABQE3Xu3Fn9+vVTt27d1KVLFzVt2tRnk1paWpqmT5+uv//97/r9999LjXO73froo4/0/PPPlxqzdu1ay4cMCQkJevLJJ3XVVVepYcOGJR7Lz8/X0qVL9cUXX2jixInKzs62lLMm+/LLL1VQUHDs9oQJE0yv1jd27Fh17tzZZ8yJjz/wwAN69dVXS70KXk5Ojj7++GM98MADpebMzc01fVP+9ttvr5KrHFaWw4cP61//+pdpXEhIiP7617/qvvvuU7169Y7dv2/fPr388st64403TJvh/u///k/XXnttqT/Hjz76qKWfEZvNpquvvloPPvigevToIYej5D+7t2/frhkzZui9997Tb7/9ZppPOnpofc4556hv377q3r27OnfurCZNmigoKKjUNXv37tX333+vF154Qbt37y41LjMzU19//bVuv/32EvdfeumlJx3e9+3b12ednTp10rhx43zGmE1xLKsNGzbok08+MY2LiYnRCy+8oFtvvVVRUVHH7t+6dav+7//+TxMnTvS53jAMjRw5UvPnzy93zdLR7+1DDz2kJ5988tiBndfr1X//+18NHz5cGRkZPtf/9NNP+tvf/haQWgAAAAAAAACgou3atctSXKtWrcq9V0REhBo3bqw9e/b4jNu5c2e595Kk8PBwPffcc7rrrrtKvP+8Zs0aPfLII5o5c6ZpjjFjxpi+F19ezz77rPLy8nzG1KtXT3/729908803l7iQn2EYmjNnjh577DEtX7681PWGYejJJ5/UjBkzSo259957LTX+OJ1O3Xrrrbr33nvVuXPnkxolN27cqKlTp+r9998/5Rls586dTzrvuO6663TgwIFS92zQoIG+/PJLn3WFhoaa1l4Wd911l4YPH17q4/PmzVNqaqqSk5NLjcnKytJ3333nc5/bbrvtpDOsYp9++qnWrFnjc73D4dD999+v+++/Xy1atCjx2KZNmzR69Gh98cUXPnO88MILGjZsmF8NY2XVuXNnderUSatXry41xuPxaOLEiT6nRppdpFOSzj33XLVs2dJnjMPhUJ8+fdS7d291795dHTp0UKNGjXw2Am/btk2TJk3SSy+9pPT09FLjtmzZotmzZ+vCCy80rfV08uqrr2r//v0+Y8LDw/Xkk0/qjjvuUOPGjUs8tnz5co0cOdLn7y1JGjlypAYOHOjznBYAAAA1jAEAAADUMB999JEhqUL/ZGRknHLvgoICY/v27WWuPSsry0hISPC59/nnn+8zx0033WTpOfTv39/IzMy0VNeRI0eMxx9/3Pjiiy98xpntmZKSYrpXSkqKaR4zo0aNMs0xa9asSstzKrfccovPvG3atPG5/vPPP/e5PigoyNi9e3eZavOXldfbRx99FPB9n3jiCdN9g4KCjGnTpvnM8/bbb1t6Du++++4p12/evNmw2+2m6yMiIozJkydbfn6//vqrMXjwYJ8xmZmZxr59+yznPNHu3buNiIgIn3XffPPNlnIF4ue/NElJST5zJyUl+Vx/zTXXmNYXFRVlLF++3GceK685ScbPP/9cao5Zs2ZZyiHJeP/990vN89NPP5muDw8PN9xut8/nBAAAAAAAAADVxb/+9S9L751+/fXXAdmvbdu2pntFR0eXut7q+71Op9PneZLb7TYGDx5smsdmsxmbN28uNY+VM1Jf5zWbN282goKCfK5v0qSJsW3bNp9f1/z8fKN3796mtSxbtuyU63/55RdLX9f4+Hhj/vz5Pms53tdff20MGzbMNK68ZxK+lPccNCsry4iMjPS5/vnnn/eZ44MPPvC53m63l3re7Xa7jeTkZJ/rHQ6HMXXqVNOvhZUzl3/84x+meQJl7NixpvV06tTJZ46WLVua5njvvfd85jhw4ICRnp5e5uexfPlyw2az+azhb3/7m2meQPwcmH0trJ4dWvldO2rUqFLXZ2RkGFFRUT7XR0VFGb/99pvPOjwej3HdddeZ1hKo/48CAABA9XD6jjQAAAAAKkBISIjPK/+ZiYqKUu/evX3GLF26tNQJZ7m5uZo0aZLpPmeffba++eYbxcTEWKorOjpaY8aM0XXXXWcpHuZ8XcVQOnrlTF9XJTWbmNW/f381adKkTLXVFN98841pzAMPPKBLL73UZ8w999yj/v37l3m/Tz/9VF6v13T9Rx99pMGDB5vGFevbt68mT57sMyYmJuakKZP+aNKkiTp16uQzZsGCBWXOXx0UFRXphx9+MI17/vnn1aVLF58xL774ojp27Giay8pr08xVV1110oTA41188cWmVzLNy8szvcoyAAAAAAAAAFQX+fn5luICNbnq+IlxpbFaky8PPfSQ+vTpU+rjQUFBevfdd03P7QzDMJ0wVh7ffPON6XS48ePHq1mzZj5jQkND9eabb5ru9+OPP57y/o8//th0rdPp1OTJk3Xuueeaxha76qqr9MEHH1iOr46ioqJMz2s//fTTcj3er1+/Us+7ly1bptTUVJ/rH3roIV122WU+Y6Sjk+jMzrhKe41UhBtvvFFOp9NnzOrVq7V27dpTPrZo0SJt2bLF5/rw8HBdc801PmPi4+NVp04d38X60KVLFzVq1MhnTE0/+/PX9OnTlZ2d7TPmxRdf1Nlnn+0zxm63680331RwcLDPuMp83QIAAKDi0VQHAAAAlIPb7dasWbP03HPP6aabblK3bt2UlJSk+vXrKywsTDab7aQ/Zs1ShYWFOnz48Ckfmz17tvLy8kzrevPNNxUaGlqm54TA6Nixo/r16+cz5u233z7l/YcPH9ZPP/3kc+1dd91V5tpqgu3bt2vr1q0+Y2w2mx555BFL+R577DHTmLlz56qwsPCk+6dNm2a69pJLLtHVV19tqZbyKCgo0I8//qi//e1vuvbaa3XWWWepadOmqlevnkJDQ0/5O2fhwoU+c9b0pqz58+eb/l6Mioqy9DMTFBSkhx9+2DRuxowZVssr1V//+lfTGLOGSEk6cuRIuWsBAAAAAAAAgMpgGEal7me3m380rrw12Ww2Pfjgg6ZxcXFxuv76603jzN7TLw+zs6dGjRppwIABlnJ16NBBdevW9RlT2vnK9OnTTfMPGzZMvXr1slTL6cbsPGPz5s1asmTJKR/buXOn5syZU+b8Zq8RSbrzzjtNY6SjjZFm38MFCxaYNkMFSlxcnKWLcH7yySenvN+sWVGShgwZ4ndTcHZ2tv773/9q5MiRuvLKK9WxY0clJCSoTp06Cg4OPuXZ3969e33m3L17t1811HRmr1un06lbb73VUq569eqpffv2PmOs/A4DAABAzeGo6gIAAACAmmj37t16/vnn9Z///EeZmZkBz5+RkXHKK8wtW7bMdO1ZZ52lc845J+A1wX+PPfaYz+abKVOmaPfu3UpISChx/3/+8x+53e5S1zVp0sTSFSBrsnnz5pnGdOrUSYmJiZby9enTR1FRUT4P5vLz87V8+fISB3wul0urV682zX/vvfdaqqOsfv/9dz333HP67rvvLDXW+qOwsFB5eXkKDw8PaN7KMn/+fNOYCy+8UGFhYZbyDRw40DRm27Zt2rt3rxo3bmwp54maNWums846yzSuQYMGpjE01QEAAAAAAACoKay+TxuoJhsr75+W973xDh06WD6ruPzyyzV+/HifMaU1S5WXx+MxnV61b98+2Wy2gO25cePGk+5LTU3VoUOHTNdW9LlLddatWzd16tTJ5/nUJ598oh49epx0/+eff+6zUbRhw4a64oorSn187ty5pvW1adPGNMYql8ulrVu3qnPnzgHL6cvQoUM1ZcoUnzETJ07UK6+8UqIpt6ioSF999ZWl/FYtWbJEzz//vGbMmKGioiLL66zIyMgIaL7qzux163K5AjYBVZL279+vzMxMxcbGBiwnAAAAqg6T6gAAAHDaMgyjzH98vQH6+uuv64wzztC7775bIQ11UulvdJtN7pKONg+herj44ovVoUOHUh/3eDx65513Trr/888/95l32LBhCgoKKnd91dm+fftMY/w5YLPZbD6/F8X2799f4vbOnTvlcrlMc6ekpFiuxR+GYeipp55Shw4d9OWXXwa8oa5YTT5cC/RrpX79+paa5U58rfijS5culuIiIiJMY3w14AIAAAAAAABAdWI22axYoC4mlpWVZRpTp06dcu3RqVMny7FWzikOHDhQnnJKdfjwYdPzjkA7cuTISc1CVs4669ata+lrdTozm1b31VdfnfL7aTZN7bbbbpPDUfocBrMJaBXh4MGDlbbX5Zdfrri4OJ8xe/fu1cyZM0vcN3XqVKWnp/tcl5iYqAsuuMC0hqKiIg0dOlTnnHOOfvzxx4A31Ek1+9yvLKycFQZaZb5uAQAAULFoqgMAAAD88Oyzz+qhhx5SQUFBhe5T2qHW4cOHTdcmJycHuBqUx6OPPurz8ffee6/E93v79u1auHBhqfF2u1233357wOqrrqxcpTQ+Pt6vnFbiT9zXys9cbGysYmJi/KrFqttuu02vvPKKPB5PheQvVtkH6YFUXV4r/jhxOmVpgoODy7wHAAAAAAAAAFQ3Vie6/fHHH+XeKzc311KDUNOmTcu1jz/vP5s180hHL6RmpRnQX1bOOyrCiftaqSMpKSmgE/NqoptuusnnFMW0tDT9+OOPJe5bvny5fv/991LX2Gw23XnnnT73rYrXSWXu6XQ6dcMNN5jGndicaNasKEm33HJLiel2p+J2u3X55Zfr448/Ns1XHrXpgoy5ubnKz8+v9H2r6ncqAAAAAo+mOgAAAMCihQsX6rnnnqvSGgoLC01joqOjK6ESWHX99df7nHp14MABffPNN8duT5w40We+iy++WElJSQGrr7qychVaX4eJp2Jl6teJ+1blz9yXX35Z4Ydqp4Pq8lrxh9XXjNnhKwAAAAAAAADUJG3atLEUt3r16nLvtW7dOnm9XtM4qzWVJiwszHJseHi4pWax7Ozs8pR0SlU1uerEKVycdVoTHR2ta6+91meMv41f/fr1U7NmzXzGVMXrpCImtfkydOhQ05hJkyYpNzdXkpSZmXlSA2NZ8/7zn//UL7/8YhpX21j5XV2a6vK7DQAAADUXn84CAAAALBo5cqQMw/AZExoaqoceekhz5szRoUOH5HK5ZBhGiT+33nprmWsICQkxjamIq1ei7IKDg/XAAw/4jHnrrbeO/W+zpjqzK0ieLqxMfsvLy/MrZ/Hhlz/7VuXP3FNPPWUaExsbq2eeeUaLFy9Wenq63G73Sb9zUlJSKqS+6qK6vFb8YbVZjqY6AAAAAAAAAKeThIQENWzY0DRu8eLFcrlc5dpr3rx5luK6detWrn38mZCUl5dnetYoSVFRUeUp6ZScTmfAc5YFZ53WmZ0J/vDDD8caitxut7744guf8XfddZfpntXldVKROnfurE6dOvmMyc3N1eTJkyVJ//nPf0ybQc8991y1bNnSNOfzzz9vWl+jRo30yiuvaMWKFTpy5Ig8Hs9JZ3815QKsHo/HUlx5fuZrw2sWAAAAFYtPZwEAAAAWHDhwQPPnz/cZExoaqrlz52rcuHHq3bu36tevL4fDcVKcv80dx6tfv75pTGpqapnzo2IMHz5ckZGRpT4+f/58rVmzRqtWrdKGDRtKjWvYsKGuuOKKiiix2omLizONOXjwoF85rcSfuK+Vn7nMzMxyTS07lWXLlmnHjh0+Y+Li4rR8+XI9//zz6tGjh+rUqaOgoKCT4srzO6cmqC6vFQAAAAAAAACAuQsvvNA0JiMjQ9OnTy/XPmYXMfSnHl/8ef/50KFDpjEOh6NCJrVZOe84//zzT2reKe+f5ORkv+vYuXOnpebD013Pnj3Vvn37Uh8vKirSV199JUn6+eeffb4WGzRoYOmM0ez743A4VFhYGNDXiJUJb4FmZc/iyX9mEwCt5ps6darpmV2bNm20Zs0aPfHEEzrrrLMUHR19ygsw1pSzv4KCAktxe/bsKfMederUMb1IZWJiYsB/t/Xp06fMNQMAAKB6oakOAAAAsGDBggXyer0+Y4YNG2bpapbbt28vcx0tWrQwjZk9e3aZ86NixMbGatiwYT5j3nrrLX3++ec+Y4YOHXrKRs3TUaNGjUxjVq9ebTmfYRhat26dadyJV8ht2rSp6RUODcPQnDlzLNdihZUr6D7++ONq3ry5zxjDME77RttAv1bS0tK0d+9e0zgrV1MGAAAAAAAAAJQ0ZMgQS3H//ve/y7zHkiVLtHLlStO4Dh06mL7Pbsaf95+tnFM0aNCgPOWUKjEx0fSMac2aNXK73RWyfzErZ51paWlau3ZthdZRU5hNl/vkk08kmTd+3XbbbZYmejVr1szn4263W2vWrDHNU93deOONpl+PmTNnasGCBVqwYIHPuPDwcF1zzTWme1o5+3vuuedMGxuzs7OVlpZmmqsymDWzZWdnW8qzfPnyMtcQHBysJk2a+IzZtWuXpaZmAAAA1E401QEAAAAW7N+/3zSmY8eOlvJYOcQrjZWmvZUrV2rJkiVl3qM2sdlspjGBuhLmiBEjTjlFrNjnn3/us6nOZrPpzjvvDEgtNcF5551nGrNq1Srt2rXLUr7Zs2crKyvLZ0xYWJjOPvvsEvc5nU516tTJNH95DvdPJVC/c3777bdKOySqqqvGWnmt/PLLL8rPz7eU77vvvjONadasmRo3bmwpHwAAAAAAAADgfwYOHGipcWzatGmaNm2a3/kNw9CDDz5oKTYQ5y5r1661fFYxdepU05gePXqUt6RTCg4OVocOHXzGHDlypNwTAouVdrHS5ORkxcXFma4P9LnL8czOB6vTlLybb75ZYWFhpT6+aNEirVy5UlOmTCk1xp8zxq5du5rGfPnll5ZymTG7oG1FiouLU//+/X3GeDwe3XDDDaavhyFDhliaLhmos7/p06dX6dfueGbP28pFLF0ul77//vty1WHldVs81bG8qsvXHgAAAIFDUx0AAABgQWZmpmlMRkaGacxzzz0nj8dT5jpSUlJ8HpwUe+CBB1RYWFjmfWqLiIgI0xgr31crkpOTdeWVV5b6eG5urvbt21fq4xdccEG5r5ZakzRv3tzSFLZx48ZZyvfqq6+axvTu3VshISEn3X/ZZZeZrp0+fbomTZpkqRYrAvU759lnny1/MX8y+3kJ1M+Kv84991yFh4f7jMnOztb7779vmsvj8ej11183jbv44ost1wcAAAAAAAAA+J/g4GA98MADlmLvuOMOpaam+pV/5MiRWrp0qWlcvXr1NHToUL9yn4phGJbeV05LS9PEiRNN43r16lXumkpzySWXmMY8/fTTcrlcZd4jOztbL774os/JXZdeeqlpng8//FCLFy8ucx2+mJ13WDmjqSyxsbG6+uqrfcbccMMNPi8seOGFF1o+Y7TyGvn3v//t98/l8bxeryZOnKj27duXOUcgWPn537lzZ0DySIE5+3O5XPr73/9uab/KEBsb6/Px7Oxs/fHHHz5j3n//fR0+fLhcdVh53b744os6cuRImfcoLCzU22+/rT59+pQ5BwAAAKonmuoAAAAAC+rUqWMaM3HiRLnd7lIfnzBhQrmvqhgZGam//OUvpnHLli3T1VdfrezsbEt58/Ly9Ne//tXSYd7pxMpVA61cNdSqxx57rMxra9OUumJXXXWVaczrr7+un3/+2WfMe++9px9++ME0V2lNjzfffLPsdvN/Pt96662W9im2aNEiDRo06JSPWfmd8/HHH/t8fPTo0QF9/Zr9vGzYsKFch6hlFRISogEDBpjGPfPMM1q1apXPmP/7v/8zjZFKf60AAAAAAAAAAMyNGDFCCQkJpnF79+7VRRddpNWrV5vGulwujRw5Uq+88oqlGkaPHq2oqChLsWZee+01zZ49u9THvV6v7rrrLtOmGpvNpoEDBwakplO56aabTGPWrFlj2qR1Khs2bNBf//pXJScn6+mnn/bZJHPrrbea5isqKtLgwYP9aqz78ccfddttt5nGmZ13ZGVlaf78+Zb3rWhmZ4QbN270+fhdd91lea8LL7xQjRo18hmTl5enyy67TLt377acV5IOHDig119/XW3bttWNN96o33//3a/1gXb55ZdbmproS2Jioi644AJLseU9+/N6vRo+fLil34eVpWXLlqYxb7zxRqmPrV69WiNHjix3HVdddZVCQ0N9xuzbt08DBw70+yKhO3bs0IsvvqgWLVrovvvus9RoCQAAgJqFpjoAAADAguTkZNOYtWvXasCAAScdXOzdu1cPPPCAhg0bFpBannjiCUsNPt9//73at2+vt99+WwcPHjzp8aKiIi1evFiPP/64mjZtqpdeeklFRUUBqbGmaNasmWnMBx98oJtuukmfffaZfvnlF82ePbvEH3+aiLp3767zzz/f7zrr16+vIUOG+L2uMt12222y2Wxl/nOqn7HHHntMkZGRPvd1u90aNGiQ/v73vys9Pb3EY/v379cjjzyi4cOHm9afnJxc6pUkzzjjDEtNVDk5Obriiit0/fXXa9GiRaecSrl371599tln6tOnj3r16lXqwZeV3znTp0/XTTfddNKh5ZYtW3TdddcFdEqdZP7z4vF41LdvX40ZM0Y//PCDZs2addLPS0X5v//7P9Pfi1lZWerbt6/efvtt5eTklHhs27ZtuuWWW/Tiiy+a7tWrVy8m1QEAAAAAAABAOYSHh+v999+XzWYzjd26dau6deumESNGnPKiaFlZWfr000919tln6+WXX7a0f0pKiu655x5/yy6Vy+XS5ZdfrldfffWkC16uW7dOl112mSZNmmSa55JLLlGrVq0CVteJ2rVrp/79+5vG/fe//1XHjh31/vvvn3T2UiwjI0M//fSTRo8erS5duqhdu3Z66aWXSo0/3oUXXqhu3bqZxh04cODY92r16tUyDOOkmG3btumdd97R2WefrQEDBmj79u2mea2cDw4ZMkSjR4/WlClTTnneUVBQYJojUM477zy1bdu2TGvj4+M1ePBgy/EOh0MjRowwjdu4caPatWun5557rtSveUFBgRYtWqRx48bpsssuU5MmTfTQQw9p06ZNluupSE6nUzfccEO5ctxyyy2Wzu0la2d/48eP14gRI076OVq5cqUuueQSffjhh2Ups8J0797dNOaNN97Qs88+W6JRNz8/X++//7769u1brulxxerVq2fpsxjz5s1T27ZtNW7cOO3bt++UMTk5OZo9e7ZeeeUVnX/++WrWrJmefvpp7dmzp9x1AgAAoHqyGaf61yYAAABQjU2YMMHSVQYD+VfdvLw81atXz9IBic1mU+PGjZWYmKjMzExt2rTJ71pmzZqlPn36lPr4Qw89pNdff92vnMnJyYqLi1NQUJDS0tK0a9euk57PRx99VGpjkSTTw82UlBTTxpk+ffpozpw5PmPMvl7PPvusRo8e7TPG7GsoHT3wq1u3rs8YM6NGjfKreWnKlCl+HV5J0qOPPqp//vOf/hUWQFYOtcsrKSnplA2KVr7XxRwOh1q1aqXY2FilpaVp8+bNln/2Pv74Y91yyy2lPr5z5061a9fupGYsXyIjI5WcnKyYmBjl5OTo4MGDJx3QlPa8t23bphYtWljaJygoSImJiWrUqJEOHDigbdu2Wa6x2Pbt200P88rye+dEpX0/kpOTtWPHjlLXlfZ1Ot7QoUNNp/cVCwkJUatWrRQZGenX18xms2nWrFlKSUkpNWb27Nnq27evzzxWf28E6ncdAAAAAAAAAFRHo0aN0nPPPefXmrp166pJkyaKiIjQ/v37tWfPHrlcLsvrExIStHjxYjVp0sQ01sr7vSc6/v3nPXv2+DXV6JdfftGFF15Y6uNWzkjNzvo2bdqkTp06qbCw0HJdycnJio+PV1BQkNLT05Wenq7Dhw/7PIMxOzNctmyZevbsecoLFJamTp06SkxMVFRUlI4cOaL9+/efNBHPylnl2LFj9cgjj1je91RKO1cJxDnoqYwbN85Ss9uJnnjiCcvTG4sVFhaqU6dOfjW/xcfHKyEhQWFhYTpy5IjS0tJ06NAhud1un+uq+qOrq1at0llnnVXm9X/88YelaW2S9Ouvv/r8+T6e0+lUUlKS6tevr927d/s9FVAy/9oG4mxu7ty5Ps/MjhcZGakzzzxTLpdLf/zxh3Jzcy2tK2Z2tnb48GGdeeaZPqdknighIUENGzZUSEiIMjIyjr1uvV5vqWusfF0AAABQsziqugAAAACgJggPD9f111+vjz76yDTWMAzt2bOn1KuVJSYmateuXeWq55VXXtHixYu1dOlSy2tSU1N5g/cEderUUe/evTV37txK2/OKK65Qq1attHnzZstr7rzzzgqsqHp75plntGjRIv3888+msW63Wxs2bPB7jzvuuMNnQ50kNW3aVBMmTNDVV19t+YAvJydH69at87seSWrevLn69u2rWbNmmcZ6PJ5Sf74dDofi4uJKvdqiPwYPHlzuprqK9MYbb2jlypVas2aNaWxhYaHWrl3r9x7PP/+85cNBAAAAAAAAAIBvo0ePVlpamt566y3La4qbusoiPj5e06dPt9RQV1Zlff952LBhlhtuyqN169Z66623dMcdd1heUxFnjN26ddM//vEPv5rbMjIylJGRUe69r7jiCj366KNV3tDlj1tuuUVPPfWUX82QNputTGeMISEh+s9//qOePXsqLy/P0pqDBw/q4MGDfu9V1Tp37qxOnTpp9erVfq8999xzLTfUSVLv3r11xhln6I8//jCNdblc2rJli7Zs2XLSY9HR0bLZbAGZ8FZevXv3Vps2bbRx40bT2JycHC1btqzCaqlfv74+//xz9e/f33KzblkbFgEAAHB6sTZ7GgAAAIBGjx6tqKiocuW47777dMEFF5S7ltDQUE2bNk1nn312uXPVdg8//HCl7mez2fy6kmTv3r3VunXrCqyoenM4HPr666/VqVOnCsl/8cUX69///rel2L/85S967733FBQUVCG1nGjMmDFyOMp3LZyXXnpJrVq1Ckg9ffv2rbDvQyBERUXpxx9/VGJiYoXkHzZsmJ5++ukKyQ0AAAAAAAAAtdWbb76p559/XnZ7xX6MrXXr1lq0aJHatWsX0Lw333yz4uLiypXjjDPO0NixYwNUkbnbb79dL7/8cqXtV5oRI0b4nDxVUVq0aKGBAwdW+r7lUbduXf3lL3/xa03fvn39avo6XseOHfX9998rIiKiTOtrEl+THQO5zuFw6B//+EeZ9ipms9n0/vvvKzY2tlx5AunFF18sd45rrrkmAJUcPff9+OOPy32+CgAAgNqFpjoAAADAosTERH399ddlfhP2yiuv1GuvvRaweurWrasFCxbooYceks1mC1je2mbIkCFlPiwpq1tvvdXyAWttnlJXLDo6WgsWLDCdJucPm82mxx9/XD/++KNfP9O333675s2bp+bNmwesltJ07dpV48ePL/P6Bx98UI899lgAK5I+//zzan2AmpCQoOXLl+vSSy8NWE6n06l//vOfev/99wOWEwAAAAAAAADwP88884x+/fXXCnnv3W6365577tGKFSsqJH/z5s31888/q379+mVa36pVK82ePVvR0dEBrsy3J598Uj/++KPi4+MrJL/Vs8tRo0bp+++/L3djor/eeecdNWzYsFL3LK+77rqrQuNPdMEFF2j58uXq0qVLufJUdzfeeKOcTqdfa8LDw8vUCDZo0CA988wzfq8r9s9//lNXX311mddXhCFDhmjYsGFlWhsUFKS33npL99xzT8DqufHGGzV//ny1aNEiYDmPx+cyAAAATj801QEAAAB+uOSSSzR9+nS/DnZsNpsefvhh/ec//wn4hKuQkBCNGzdOM2bM0HnnnVfufLX1TeAPPvhAzz33nEJDQytlv7CwMN17772mcXXq1NFVV11VCRVVfxEREfr444/15Zdfqm3btuXK1b17d02fPr3Mk+B69uypVatW6fHHH1edOnXKVYvZz9ztt9+uiRMn+tXI5nQ69corrwS0ibdYu3bttHTp0mp9gBoXF6epU6fqrbfeUlJSUrlyXXTRRVqwYIEeffTRWvv7EQAAAAAAAAAqQ0pKin7//XeNHTtWTZs2LXe+oKAgDR48WCtXrtTbb7+t8PDwAFR5ap07d9bSpUvVrVs3v9YNGDBAc+bMUePGjS3FG4ZRlvJK1b9/f61du1Z33XVXQL4+NptN5513nsaPH69JkyZZXjdgwICA1WH1vfyGDRtq2bJluuiii8q1X2VKSUlR69atLcXGxcVpyJAh5d6zdevWWrx4sf7+97+rUaNG5c4nHW0kHT16tLZu3RqQfOUVFxen/v37+7VmyJAhZW6Eff755/Wvf/3LrzPKyMhIffLJJ3rkkUfKtGdFe++99yydfR8vISFBP//8s9/rrOjRo8exs9xATfU766yz9K9//UsLFy4MSD4AAABUHzTVAQAAAH668MILtX79ej311FM+G2ocDocuv/xyLViwQGPHjg14Q92JNc2bN08rV67Ufffdp/bt28tuN//rvs1m05lnnql77rlHM2bM0I033lhhNVZndrtdf/vb37R37169+eabuu6663TmmWeqfv36Cg4OrpA977vvPtMmvptvvrnSGv1qimuvvVbr1q3T1KlTdd1116lJkyaW1iUnJ+uWW27R3LlztWTJEl188cXlqiMqKkpjxozR7t27NX78eF122WWWG+xiYmJ0ySWX6LXXXtO8efNM46+//nqtX79ew4cP99lcFxoaquuuu04rV67UE088Yfm5+Ktt27Zavny55s2bp0ceeUQpKSlKSEhQVFRUtWk8s9lsuvfee7V161Z9+eWXGjx4sOWrBLdu3VrDhw/XqlWrNGPGDL8/BAEAAAAAAAAAKJvg4GA9/PDD2rZtm6ZOnao777xTycnJlteHh4crJSVF//jHP7R9+3ZNnjxZHTt2rLiCj9OsWTMtXrxYH3zwgc897Xa7UlJSNGnSJH3//fd+TUvLz883jfH3XCk+Pl7vvPOOdu/erX/84x/q27evIiMjLa212+1q0aKFhg4dqk8++US7d+/WvHnzdPfdd/t9UcIGDRqUqOOCCy6wXEf9+vU1aNAgvffee/r6668t75mQkKAZM2Zo5cqVGjlypPr166emTZsqJibG0jlrVbjzzjstxd16660BO+N0Op3661//qh07dujzzz/X4MGD1aBBA8vrGzRooMGDB+v111/X+vXrtWnTJv3f//1fhUyOLKuhQ4dWaPyJHnnkEa1atUrXX3+9z+9TVFSU7rrrLq1fv14333xzufasSHa7XW+99ZZmz56tlJQUnz8/ycnJevnll7Vp0yZdcMEFFVZTZGSkxowZoz179mj8+PG69NJL/fq9lJiYqOuuu07vvvuutm7dqhUrVuiRRx4JWHMpAAAAqg+bEehL2AAAAAC1iNfr1fLly7Vu3TodPnxYLpdLMTExatmypXr06BGwK5+VRVZWllasWKGDBw8qIyNDGRkZ8nq9ioiIUFxcnJo1a6YzzzyzSmuszbKyshQfH6/CwsJSY9auXav27dtXYlU10/bt27VhwwalpaUpIyNDOTk5ioqKUt26dVWvXj117NjRcvNdeRiGoY0bN+qPP/5QRkaGMjMzlZ2drZCQEEVHRysxMVEtW7ZUy5Yty3wY63K5tGTJEm3cuFFpaWnyer2qU6eOWrdurR49elTolXZPB5s2bdKmTZuUnp6ujIwM5eXlKSYmRnXr1lX9+vXVpUsXy813AAAAAAAAAIDKkZaWpg0bNmjnzp06dOiQ8vPz5Xa7FRoaqqioKDVp0kTNmzdXmzZtKvQil/7YsWOHli1bph07dqigoED16tVT48aN1b17d78a6Y739NNP68UXX/QZ89NPP5X7woIej0dr167V9u3blZmZeez99IiICEVFRalOnTo644wz1KpVqwq9OGRxHampqcfOOvPy8hQWFqbo6GglJSXpjDPOULNmzSqsBpRu27Zt2rBhw7HvTVZW1rEzsejoaDVr1kxt2rThLNpEfn6+FixYoG3btiktLU02m03169fXmWeeqW7dulXYBWArUnp6uubPn6+9e/cqLS1NTqdTTZo00VlnnaW2bdtWWV0nnuUWnyuHhYUpKipKsbGxatGihVq3bm25qRcAAAA1H011AAAAAFAF3nrrLd1///2lPn7OOedo0aJFlVgRAAAAAAAAAAAAqquLLrpIM2fO9BmzYsUKnXXWWZVUEQAAAAAANVv1nFMOAAAAAKex7du3a/To0T5j7rvvvkqqBgAAAAAAAAAAANXZ/PnzNWvWLJ8xISEhateuXSVVBAAAAABAzeeo6gIAAAAA4HS1ceNG7d+/X5Lk8Xh0+PBhLV26VB999JEyMjJKXde4cWNde+21lVUmAAAAAAAAAAAAqonMzEytWrVKHo9Hhw4d0ty5czVhwgR5vV6f67p166bg4OBKqhIAAAAAgJqPpjoAAAAAqCAvv/yyPv74Y7/XjRw5Uk6nswIqAgAAAAAAAAAAQHW2atUq9e3b1+91w4YNq4BqAAAAAAA4fdmrugAAAAAAwP+ceeaZGj58eFWXAQAAAAAAAAAAgBqiSZMmuuGGG6q6DAAAAAAAahSa6gAAAACgmggNDdXEiRPlcDBUHAAAAAAAAAAAAObsdrs+++wzhYSEVHUpAAAAAADUKDTVAQAAAEA1EBwcrIkTJ6pz585VXQoAAAAAAAAAAABqAKfTqQ8++EB9+vSp6lIAAAAAAKhxaKoDAAAAgCrWpk0b/frrrxoyZEhVlwIAAAAAAAAAAIAaoGvXrpo1a5aGDh1a1aUAAAAAAFAjOaq6AAAAAACoTex2u6KiopSQkKCuXbvqyiuvVP/+/eVw8M8zAAAAAAAAAAAAnCwkJET16tVTkyZNdN5556l///666KKLqrosAAAAAABqNJthGEZVFwEAAAAAAAAAAAAAAAAAAAAAAAAAQGWwV3UBAAAAAAAAAAAAAAAAAAAAAAAAAABUFprqAAAAAAAAAAAAAAAAAAAAAAAAAAC1Bk11AAAAAAAAAAAAAAAAAAAAAAAAAIBag6Y6AAAAAAAAAAAAAAAAAAAAAAAAAECtQVMdAAAAAAAAAAAAAAAAAAAAAAAAAKDWoKkOAAAAAAAAAAAAAAAAAAAAAAAAAFBr0FQHAAAAAAAAAAAAAAAAAAAAAAAAAKg1aKoDAAAAAAAAAAAAAAAAAAAAAAAAANQaNNUBAAAAAAAAAAAAAAAAAAAAAAAAAGoNmuoAAAAAAAAAAAAAAAAAAAAAAAAAALUGTXUAAAAAAAAAAAAAAAAAAAAAAAAAgFqDpjoAAAAAAAAAAAAAAAAAAAAAAAAAQK3hqOoCULkyMzM1Z86cY7cTExMVEhJShRUBAAAAAAAAAIDapLCwULt27Tp2OyUlRbGxsVVXEHACztMAAAAAAAAAAAAqXlWfG9JUV8vMmTNHgwcPruoyAAAAAAAAAAAAJEnffvutBg0aVNVlAMdwngYAAAAAAAAAAFD5Kvvc0F5pOwEAAAAAAAAAAAAAAAAAAAAAAAAAUMVoqgMAAAAAAAAAAAAAAAAAAAAAAAAA1BqOqi4AlSsxMbHE7W+//VYtW7asomoAAAAAAAAAAEBts2XLFg0ePPjY7RPPLoCqxnkaAAAAAAAAAABAxavqc0Oa6mqZkJCQErdbtmypdu3aVVE1AAAAAAAAAACgtjvx7AKoapynAQAAAAAAAAAAVL7KPje0V+puAAAAAAAAAAAAAAAAAAAAAAAAAABUIZrqAAAAAAAAAAAAAAAAAAAAAAAAAAC1Bk11AAAAAAAAAAAAAAAAAAAAAAAAAIBag6Y6AAAAAAAAAAAAAAAAAAAAAAAAAECtQVMdAAAAAAAAAAAAAAAAAAAAAAAAAKDWoKkOAAAAAAAAAAAAAAAAAAAAAAAAAFBr0FQHAAAAAAAAAAAAAAAAAAAAAAAAAKg1aKoDAAAAAAAAAAAAAAAAAAAAAAAAANQaNNUBAAAAAAAAAAAAAAAAAAAAAAAAAGoNmuoAAAAAAAAAAAAAAAAAAAAAAAAAALUGTXUAAAAAAAAAAAAAAAAAAAAAAAAAgFqDpjoAAAAAAAAAAAAAAAAAAAAAAAAAQK1BUx0AAAAAAAAAAAAAAAAAAAAAAAAAoNagqQ4AAAAAAAAAAAAAAAAAAAAAAAAAUGvQVAcAAAAAAAAAAAAAAAAAAAAAAAAAqDVoqgMAAAAAAAAAAAAAAAAAAAAAAAAA1Bo01QEAAAAAAAAAAAAAAAAAAAAAAAAAag2a6gAAAAAAAAAAAAAAAAAAAAAAAAAAtQZNdQAAAAAAAAAAAAAAAAAAAAAAAACAWoOmOgAAAAAAAAAAAAAAAAAAAAAAAABArUFTHQAAAAAAAAAAAAAAAAAAAAAAAACg1qCpDgAAAAAAAAAAAAAAAAAAAAAAAABQa9BUBwAAAAAAAAAAAAAAAAAAAAAAAACoNWiqAwAAAAAAAAAAAAAAAAAAAAAAAADUGjTVAQAAAAAAAAAAAAAAAAAAAAAAAABqDZrqAAAAAAAAAAAAAAAAAAAAAAAAAAC1Bk11AAAAAAAAAAAAAAAAAAAAAAAAAIBag6Y6AAAAAAAAAAAAAAAAAAAAAAAAAECtQVMdAAAAAAAAAAAAAAAAAAAAAAAAAKDWoKkOAAAAAAAAAAAAAAAAAAAAAAAAAFBr0FQHAAAAAAAAAAAAAAAAAAAAAAAAAKg1aKoDAAAAAAAAAAAAAAAAAAAAAAAAANQaNNUBAAAAAAAAAAAAAAAAAAAAAAAAAGoNmuoAAAAAAAAAAAAAAAAAAAAAAAAAALUGTXUAAAAAAAAAAAAAAAAAAAAAAAAAgFqDpjoAAAAAAAAAAAAAAAAAAAAAAAAAQK1BUx0AAAAAAAAAAAAAAAAAAAAAAAAAoNagqQ4AAAAAAAAAAAAAAAAAAAAAAAAAUGvQVAcAAAAAAAAAAAAAAAAAAAAAAAAAqDVoqgMAAAAAAAAAAAAAAAAAAAAAAAAA1Bo01QEAAAAAAAAAAAAAAAAAAAAAAAAAag2a6gAAAAAAAAAAAAAAAAAAAAAAAAAAtYajqguoyQzD0IoVK7Rq1SodPHhQktSgQQN16tRJXbp0kc1mq+IKAQAAAAAAAAAAAAAAAAAAAAAAAADHq7ZNdXv27NHSpUu1ZMkSLV26VL/99puys7OPPZ6UlKTU1NQqqc3lcum1117TuHHjtGfPnlPGJCQk6OGHH9aDDz4op9NZyRUCAAAAAAAAAAAAAAAAAAAAAAAAAE6lWjXVLViwQP/617+0ZMkS7d27t6rLOaVdu3Zp0KBBWrlypc+43bt367HHHtMXX3yhKVOmqEmTJpVUIQAAAAAAAAAAAAAAAAAAAAAAAACgNPaqLuB4y5Yt0+TJk6ttQ93BgwfVt2/fkxrqwsLC1K5dO5155pkKDQ0t8djy5cvVt29fHT58uDJLBQAAAAAAAAAAAAAAAAAAAAAAAACcQrVqqvMlMjKyqkvQ0KFDtXXr1mO3Q0NDNW7cOB0+fFjr1q3Thg0bdPjwYb366qslmuv++OMPDRs2rCpKBgAAAAAAAAAAAAAAAAAAAAAAAAAcx1HVBZxKVFSUzj77bHXr1k3du3dXt27dtH37dvXt27fKavr55581bdq0Y7edTqd++ukn9e7du0RcRESERowYoS5duqhfv35yuVySpO+//16zZs2q0ucAAAAAAAAAAAAAAAAAAAAAAAAAALVdtWqqGzhwoC6++GK1adNGdnvJIXrbt2+voqqO+tvf/lbi9lNPPXVSQ93xUlJS9OSTT+qFF144dt8zzzyjBQsWVFiNAAAAAAAAAAAAAAAAAAAAAAAAAADf7OYhladFixZq27btSQ11VW3t2rVaunTpsdsRERF6/PHHTdc98cQTioiIOHZ74cKF+v333yukRgAAAAAAAAAAAAAAAAAAAAAAAACAuerVvVZNTZkypcTta665RlFRUabroqKidPXVV5e479tvvw1kaQAAAAAAAAAAAAAAAAAAAAAAAAAAP9BUZ8GPP/5Y4vbFF19seW2/fv1K3P7hhx8CUhMAAAAAAAAAAAAAAAAAAAAAAAAAwH801ZkwDENr1qwpcV+vXr0srz/33HNL3F69erUMwwhIbQAAAAAAAAAAAAAAAAAAAAAAAAAA/9BUZ2LHjh3Ky8s7djsiIkJNmza1vD4pKUnh4eHHbufm5mrXrl0BrRFA+RiGoby8PGVlZSkvL4/GVwAAAAAAAAAAAAAAAAAAAAAAgNOYo6oLqO42bdpU4nZiYqLfORITE0vk2bRpk1+NeQACLzU1VXPnztXmzZu1detW5eTkHHssMjJSLVq0UKtWrZSSkqKkpKQqrBQAAAAAAAAAAAAAAAAAAAAAAACBRFOdiYMHD5a4nZCQ4HeOJk2alGiqOzEngMqzbNkyffPNN1q/fn2pMTk5OVq9erVWr16tr7/+Wu3atdNVV12lrl27VmKlAAAAAAAAAAAAAAAAAAAAAAAAqAg01Zk4fnqVJEVERPid48Q1J+Ysq4MHD+rQoUN+rdmyZUtA9gZqmuzsbI0fP15z586VJBmGocLcHBXm5clVWCCPq0iGYchmsynIGSxnSKhCwsMVEhGp9evXa/369UpJSdHdd9+tqKioKn42AAAAAAAAAAAAAIDarqioSFOmTNH06dP122+/afPmzSosLFRISIhatWqlrl276tJLL9WgQYMUHBxc1eUCAAAAAAAA1QpNdSZObIALDQ31O0dYWJjPnGX19ttva/To0QHJBZzOUlNTNWrUKKWnp0uGodzMTOUeyZDX7T4p1jAMuQsL5S4sVH7WEdkdDkXE1FFEbKzmzJmjtWvXavTo0UpOTq78JwIAAAAAAAAAAAAAqPVcLpfGjh2rV199VQcOHDjp8YKCAq1Zs0Zr1qzRhx9+qAYNGuiRRx7RiBEj5HQ6q6BiAAAAAAAAoPqhqc5EQUFBidtluXJXSEhIidv5+fnlqgmAdampqRo5cqRycnLkLirSkYP75frz5zoiLFTtmycrIT5OcXViFexwqMjt1qGMTO0+eEjrtqUqN79A2WmHVJCbrZj4hkpPT9fIkSP10ksv0VgHAAAAAAAAAAAAAKhUGzZs0M0336wVK1ZYXnPgwAE9+eST+uqrr/Tpp5+qbdu2FVghAAAAAAAAUDPQVGfixMl0RUVFfucoLCz0mRNAxcjOztaoUaOUk5OjooJ8ZezdI8PrVWhIsC7oepY6NE9WUFDQSevqRkepdVKi+nTppLXbUvXrbytVUFCgtN07VadxE+VIGjVqlN58801FRUVV/hMDAAAAAAAAAAAAANQ6Cxcu1GWXXaasrKwyrV+xYoV69uypadOmqVevXgGuDgAAAAAAAKhZaKozERkZWeL2iZPrrDhxMt2JOcvq3nvv1dVXX+3Xmi1btmjw4MEB2R+o7saPH6/09HS5i4qONdQlNIjTkJRzFRUebro+KChInc9ooRZNGmnynAXafeCQMvbuUb2EpkpPT9c777yjxx57rBKeCQAAAAAAAAAAAACgNtuwYUO5GuqKZWVl6bLLLtOiRYuYWAcAAAAAAIBajaY6Eyc2wOXm5vqd48Q1gWqqi4+PV3x8fEByAaebZcuWae7cuTIMQ0cO7j/WUHd9v75yOvz71RcVHq7r+/XVFzNmafeBQzpycL/qNUnUnDlzlJKSom7dulXQswAAAAAAAAAAAAAA1HYul0s33XRTuRvqimVlZenmm2/W4sWL5XQ6A5ITAAAAAAAAqGnsVV1AdXdi09ru3bv9zrFnzx6fOQEE3jfffCNJysvMlKugQKEhwRqScq7fDXXFnA6HhqScq5Bgp1wFBco9kilJmjRpUqBKBgAAAAAAAAAAAADgJGPHjtXKlSsDmnPFihUaO3ZsQHMCAAAAAAAANQlNdSZat25d4vauXbv8znHimjZt2pSrJgC+paamav369TIMQ7lHMiRJF3Q9S1Hh4eXKGxUergu7dZEk5WZmyDAMrVu3Tjt27Ch3zQAAAAAAAAAAAAAAnKioqEivvvpqheQeO3asioqKKiQ3AAAAAAAAUN3RVGciKSlJYWFhx27n5ub61UCzY8cO5eXlHbsdERGhxMTEgNYIoKS5c+dKkgpzc+R1uxURFqoOzZMDkrtD82RFhIXK63arMDe3xH4AAAAAAAAAAAAAAATSlClTdODAgQrJvX//fk2ZMqVCcgMAAAAAAADVHU11Jmw2mzp27FjivoULF1pev2DBghK3O3bsKJvNFpDaAJza5s2bJUmFfza0tm+erKCgoIDkDgoKUvs/G/QK83JL7AcAAAAAAAAAAAAAQCBNnz69RucHAAAAAAAAqiua6iwYMGBAidszZsywvPbE2IEDBwakJgCnZhiGtm7dKklyFRZIkhLi4wK6R5P4+iXyb9myRYZhBHQPAAAAAAAAAAAAAAB+++23Cs2/fPnyCs0PAAAAAAAAVFc01VlwxRVXlLj99ddfKycnx3Rddna2vv766xL3DRo0KKC1ASgpPz//2M+nx1UkSYqrExvQPeLr1CmRPycnRwUFBQHdAwAAAAAAAAAAAACAzZs31+j8AAAAAAAAQHVFU50FHTt2VLdu3Y7dzsnJ0ZgxY0zXjRkzRrm5ucdun3POOWrbtm2F1AjgKLfbfex/F0+PC3Y4ArpHcb7jp9O5XK6A7gEAAAAAAAAAAAAAQGFhYYXm5wKyAAAAAAAAqK1qZVOdzWYr8Wf27Nmma5577rkSt19++WXNnTu31Pg5c+bolVdeKXHfCy+8UKZ6AVjnOK6BzmazSZKKjmu0C4TifMX5JcnpdAZ0DwDVy5IlS/T2229ryZIlVV0KAAAAAAAAAAAAapGQkJAKzR8aGlqh+QEAAAAAAIDqKrDjmwJgwYIFys/PP+n+1atXl7hdUFCgX3755ZQ5GjduHPCJcJdeeqkuvvhi/fzzz5KOTqW65JJL9PLLL+vOO+9UeHi4JCk3N1fvvfeeRo4cWWJyVf/+/XXhhRcGtCYAJwsLC1NkZKRycnIU5AyWu7BQhzIyVTc6KmB7HMzIkCQFOYMlSZGRkRw0AKex5cuXH2uMnzZtmkaPHq0uXbpUcVUAAAAAAAAAAACoDVq1aqU1a9ZUaH4AAAAAAACgNqp2TXU33nijduzYYRp34MAB9evX75SP3XrrrZowYUKAK5M++eQT9ezZU9u3b5d0tLHv4Ycf1siRI9W8eXMZhqFt27apoKCgxLoWLVpUSD0ATmaz2dSiRQutXr1azpBQuQsLtfvgIbVOSgzYHnsOHpYkOUOONtK1bNmyxNQ6AKeX7777TpLkcbsU5HDqu+++o6kOAAAACJAlS5Zo+fLlOvvss9WjR4+qLgcAAAAAgGqna9euFdpUd/bZZ1dYbgAAAAAAAKA6s1d1ATVJgwYNNGvWLHXq1KnE/fn5+Vq/fr02bNhwUkNd586dNWvWLMXFxVVmqUCtVnwlvZA/J0iu25Yqj8cTkNwej0frtqX+mT+ixH4ATj85OTnHpuVmHTooSVq1apVycnKqsiwAAADgtFA8FXratGl64YUXtGLFiqouCQAAAACAaufSSy+t0fkBAAAAAACA6oqmOj8lJSVp6dKleuWVV9S4ceNS4xo3bqwxY8ZoyZIlSkwM3IQsAOZ69+4tSQqJiJTd4VBufoHW/tkIV15rt6UqN79AdodDIRERJfYDcPpZsmSJPB6PXIWFKszNlauwUB6PR0uXLq3q0gAAAIAar3gqtNfrKnEbAAAAAAD8z6BBg9SgQYMKyd2wYUMNGjSoQnIDAAAAAAAA1Z2jqgs4UWpqaoXvYRhGudYHBwfriSee0GOPPably5dr9erVOnjw6PSa+Ph4de7cWV26dJHdTs8iUBWSk5PVrl07rV+/XhExdZSddki//rZSLZo0UtSf0+vKIjsvTzOXHb1qfkRsHdlsNrVv315JSUmBKh1ANbNw4UJJUmFu9p//zZEzJEQLFy7UBRdcUJWlAQAAADXa8VOhCwp2Kzy82bGp0JGRkVVcHQAAAAAA1UdwcLAeeeQRPfnkkwHPPWLECAUHBwc8LwAAAAAAAFATVLumuprEbrerW7du6tatW1WXAuAEf/nLX4421cXGqiA3WwUFBZo8Z4Gu79dXTof/v/pcbrcmz1mgwiKXnKGhioiJPbYPgNNTfn6+Vq5cKUkqyMk5+t/cbEXWracVK1YoPz9fYWFhVVkiAAAAUGMVT4X2eArkdmfJ4ymQFKqlS5dyAQsAAAAAAE4wYsQIffXVV1qxYkXAcnbp0kUjRowIWD4AAAAAAACgpmGUGoDTUrdu3dS7d2/JZlNMfEPZ7HbtPnBIX8yYpey8PL9yZefl6YsZs7T7wCHZ7HbFxDeUbDalpKSoa9euFfQMAFS1ZcuWyeVyye0qkruoSJLkLiyS21Ukl8ul3377rYorBAAAAGqu4qnQbnfmn/89UuJ+AAAAAADwP06nU59++qmio6MDki8mJkaffvqpnE5nQPIBAAAAAAAANRFNdQBOW8OHD1fdunXlCA5WncZNjjXWvfvtj1r1x1Z5PB6f6z0ej1b9sVXvfvvjsYa6Oo2byBEcrLp16+ruu++upGcCoCoUf5i3eEpdseLbfNgXAAAAKJvjp0K7XEdK/Ld4KjQAAAAAACipbdu2mjZtWrkb62JiYjR16lS1bds2QJUBAAAAAAAANRNNdQBOW1FRURo9erQiIyMVHBqmeglN5QwNVWGRS1MXLNGb/52imctWaOOOnUrPylZOXr7Ss7K1ccdOzVy2Qm/+d4qmLliiwiKXnKGhqpfQVMGhYYqMjNTo0aMVFRVV1U8RQAUpLCw8NomuICdbkpQQX7/E7WXLlqmwsLBqCgQAAABqsOKp0F5vobzeAkmS15svr7eQqdAAAAAAAPjQq1cvLVq0SF26dCnT+i5dumjhwoXq1atXgCsDAAAAAAAAah6a6gCc1pKTk/XSSy8dm1hXr0miourHye5wKDe/QEvWb9SkWfM1ftL3ev0/kzV+0veaNGu+lqzfqNz8AtkdDkXVj1O9JonHJtS99NJLSk5OruqnBqACLV++XIWFhfK4XHIXFspms6n/uT0km+T+8/7CwkKtWLGiqksFAAAAapziqc8uV2aJ+4un1TEVGgAAAACA0rVt21aLFy/WK6+8ogYNGlha07BhQ73yyitavHgxE+oAAAAAAACAP9FUB+C0l5ycrDfffFMpKSmSzaaI2DqKS2qm2IaNFRYdI0dIiGx2m2STbHabHCEhCouOUWzDxopLaqaI2DqSzaaUlBS9+eabNNQBtUDxh3gLcnMkSU0bxqt+TIySGjYocT8f9gUAAAD8c/xUaJf7aBNds2axkiS3O1MSU6EBAAAAADDjdDr1xBNPaOfOnT7Pr/v166f//Oc/2rFjh5544gk5nc7KKxIAAAAAAACo5hxVXQAAVIaoqCg99thjSklJ0aRJk7Ru3TqFRkYqNDLSdG379u31l7/8RV27dq2ESgFUNZfLpWXLlkmSCnKyJUltkhIlSa2TErVj3wEV5OQoIraOli5dKpfLxQEkAAAAYFHxVGivt0heT77sdptuuKG9XnxxgTyefHm9RSoslFasWKGePXtWdbkAAAAAAFRrwcHBCgkJKfXxe+65R0OGDKnEigAAAAAAAICag6Y6ALVKt27d1K1bN+3YsUNz587V5s2btWXLFuXk5ByLiYyMVMuWLdWqVSv17t1bSUlJVVgxgMq2atUq5eXlyeN2y1VYINmkVk0TJEmtmybo58W/yVWYL4/brby8PK1evZqmWwAAAMCi4mnPxVPqWrSoowYNItSyZR398Ue6XO4jCgmO08KFC2mqO00ZhqH8/Hy53W45HA6FhYXJZrNVdVkAAAAAUGPl5eWV+lhBQUElVgIAAAAAAADULDTVAaiVkpKSdPPNN0s6+mGugoKCY9OmQkND+TAXUIsVf8i3IDdbMqSEBnGKCg+XJEWFhyshvr52HzysgtwcRcTEauHChTTVAQAAABYcPxXa7cqUJHXu3FCS1KlTA/3xR7rcrqNNdUyFPr2kpqYeu7jR1q1bT7q4UYsWLdSqVSulpKRwcSMAAAAA8FN+fn6pjxUWFlZiJQAAAAAAAEDNQlMdgFrPZrMpLCxMYWFhVV0KgCrmdru1ePFiSVLhnx/ybNM0sURMm6Sm2n3wsApzshURE6vFixfr3nvvlcPBX6sAAAAAX4qnQnu9Lnk8+bLZbOrYMU6S1KlTvP7739/l8Rx9nKnQp4dly5bpm2++0fr160uNycnJ0erVq7V69Wp9/fXXateuna666iq+9wAAAABgka+mOibVAQAAAAAAAKXj098AAAB/WrdunXJycuT1uFVUcPQAsnVSyaa6VkkJ+mXZChUV5Mvr8Sg7O1vr1q1T586dq6BiAAAAoOYongrtdh+RZKhZszqKiQmVJMXEhKpZs1ht354pt/uIgoPrMxW6BsvOztb48eM1d+7cP+8x5HIdkdudLY83X15PoSRDkk32oBAF2cPkcETJ6YzR+vXrtX79eqWkpOjuu+9WVFRUFT4TAAAAAKjeDMNQXl5eqY8zqQ4AAAAAAAAonb2qCwAAAKguFixYIEkqyM2VDKlR/bqKiYwoERMbGalG9etKhlSQe3SaXfGHgwEAAACc2vFToV2uI5KkTp0alIjp3LlhiccXL14st9tdiVUiEFJTU3X//ff/2VBnqLDwkLKzf1d+/g65XOnyevIleXW0qc4rrydfLle68vN3KDv7dxUWHpJkaM6cObr//vuVmppalU8HAAAAAKq1oqIiGYZR6uM01QEAAAAAAAClY1IdAACAJK/Xq0WLFkmSCnKyJZ08pa5Y66RE7TucroKcbIVHx2jRokUaPny47HauVwAAAACcyrGp0F63PJ5cSVKnTvElYjp1itfkyRvl8eTKMNxMha6BUlNTNXLkyD+/1wXKz98lj+foxISoqBB169ZIzZrFqnHjKIWEBKmw0KO9e7O1fXumli3bp+zsQhUW7pXbnamwsESlp6dr5MiReumll5ScnFy1Tw4AAAAAqqH8/HyfjxcUFFRSJQAAAAAAAEDNwye/AQAAJG3YsEFHjhyR1+NR0Z8HkG2Smp4yts2fzXZF+fnyej3KzMzU77//Xmm1AgAAADVN8VRot/uIJENNm8aobt2wEjF164apadMYScaxaXVMha45srOzNWrUKOXk5MjjyVVO7hZ5PHkKD3fq+uvbafTo3ho8uLU6dWqguLhwRUeHKC4uXJ06NdDgwa01enRvXX99O4WHO+Xx5P25Plc5OTkaNWqUsrOzq/opAgAAAEC1k5eX5/NxJtUBAAAAAAAApaOpDgAAQP/7sG5hbq5kGIqvG6u60VGnjK0bHa24OrGSYagw5+iUjeIPCQMAAAAo6fip0C730Wa5Tp0anDK2+P7iuEWLFsnr9VZClSiv8ePHKz09XV5vgXLztkuGR82b19HIkb3Us2eCHA7fb0U7HHb17JmgkSN7qXnzOpLhUW7ednm9BUpPT9c777xTSc8EAAAAAGoOJtUBAAAAAAAAZUdTHQAAqPUMwzjWVFeQe3T6QfE0utKcmZxYIn7RokUyDKMCqwQAAABqpuKp0IbhlsedI0nq3Lm0prp4SZLHnSPDYCp0TbFs2TLNnTtXkqH8/F3HGuruvfdsxcSE+pUrJiZU99579rHGuvz8XZIMzZkzR8uWLauQ+gEAAACgpjJrqmNSHQAAAAAAAFA6muoAAECtt3nzZqWlpcnr9aowL0+S1Capqc81rf9suivMy5PX69Xhw4e1efPmCq8VAAAAqGmKL2DhdmdJMtSkSZTi4sJPGRsfH6HGjaMkGXL/Oa2OqdDV3zfffCNJKiw8LI8nT+HhTt12W0cFBweVKV9wcJBuu62jwsKc8njyVFh0WJI0adKkgNUMAAAAAKeDvD/PtUpDUx0AAAAAAABQOprqAABArVf8Id3C3BzJMFQvJlr1Y2OOPe7xeOR2u+XxeI7dVz8mRnVjoiTDUFFurqT/fVgYAAAAwFHHT4V2uY42yXXqdOopdcWKp9gVxzMVunpLTU3V+vXrJRkqKjokSRo0qJXfE+pOFBMTqsGDW0mSigoPSTK0bt067dixo5wVAwAAAMDpw2xSXUFBQSVVAgAAAAAAANQ8NNUBAIBa7fgP+Rbk5kiSmjVuqN27d2vjpk1asWKFlq9YoRUrVx7974oV2rhpk/bs2aPmjRpKkvJzsyUdbarjw74AAADA/xRPhTYMj9zuo39vLm6aK01x053bnSPDYCp0dTd37lxJR5sgDcOl6OgQdevWOCC5u3VrrKioEBmGSy5XVon9AAAAAADmTXVMqgMAAAAAAABK56jqAgAAAE4lNzdXkyZN0ubNmyu0Uc3j8ejAgQMyvF7lZGYevWJnXq727tt3yni3x6OsrCxlZWVJ+XnKzsmRy+NWbHxD7d+/X3/9618VFBRUYfXabDa1atVKV155pSIiIipsHwAAACAQiqdCu91Zkgw1aBChhg0jJUmGDHk9XnkNQ3abTfYgu2yyqWHDCMXHR+jgwVy53VlyOmO1cOFCtW7dugqfCUpT3PBY3DTZtWsjORyBuZabw2FXt26N9OuvqX++FmJosAQAAACA4+Tl5fl8nEl1AAAAAAAAQOloqgMAANXSe++9p5kzZ1bKXm63Wzu2blFRTo4iQ0MUEx4mr9str8cjr9crw+uVZEiyyWa3y263yx4UpJjwMIU4gpSTnaNtf/yhpBYttG7dugqvd9WqVUpLS9PDDz9c4XsBAAAAZXX8VGiX64gk6cy2dbRr927l5uYoLzdPbo/7WLwjyKHwiHBFRETqzLZ1dPBgrlyuzGNNdUOHDpXNZquS54JTMwxDW7dulSR5vEenIzRrFhvQPZKTj+bz/pl/y5YtMgyD1wIAAAAAiEl1AAAAAAAAQHnQVAcAAKql1NRUSVJRfp7yso5U2D6uIpcOHTokw+uRXVKjmGi5CvJlGN5TRBsyvB55vB553C7ZbHY1jonWHwWHVJB9RJvXrFZcXJycwc4Kqzc8OlbBYWHHvj4AAACAvyp9KrThVX5+ugoL8xUSkq59+3JPGe/2uI9NhQ4NLVROTo5CQjwKC2vKVOhqKj8/Xzk5OZIkr+foBzUbN44K6B5NmhzN5/kzf05OjgoKChQWFhbQfQAAAACgJjJrqmNSHQAAAAAAAFA6muoAAEC1dMEFF2jr1q0KDguX1+vVkYMHZHg8Ad3D4/UoJztHNsOQTYacdrua1YuRYXgVZA9SdESYQoNDFOx0yG6zy2t4VeRyq6CoUFm5+fJ4PWpWL0aphw7L5fVKXo/SDx5QZFSkguyB/bCvLShIMfENFPznB0cvvPDCgOYHAABA7VHZU6F3794kuz1b0TFO1a8fLK/XJcNwH72QhfG/qdCy2WWz2WWzOVS/frDCw6WsrGxlZ29UQkIrpkJXQ263+7hbRxs0Q0IC+2+h/+X7XwOoy+WiqQ4AAAAAJOXl5fl8nEl1AAAAAAAAQOloqgMAANXSwIEDZbPZ9OGHHyo0IlLOxFAdObBPRX9ecTM42Klz2p2pYGfZ/jrj9Xi1Y+cOuevVkeH1yub1qEF0pMJDglUvJkbREWGyyXbCKruCHQ5FhoWqXky0snLzlXbkiC44s6UOZOXIsAfJZrfL4QhSUtMk2YPsZaqtyOXS4vUbVVTkOvpcw8MVE99QQQ6HHA6Hhg0bpgEDBpQpNwAAAFA89djtzpHLlVZh+xS5XDp86JBsNrfsdql5s2B5PLl/NtKdyJAMjwzDI0MuyWZXs+YhWr3KLa83TTt2LFP9uDgFOytuKrTTWV8ORwRTof3gcBz/7zGbJEOFhYG9GMr/8v3v32fOCnwdAAAAAEBNYjapjqY6AAAAAAAAoHQ01QEAgGrJZrNp4MCBateuncaMGaM9e/aobpNE5WSkKSc9XUVFLq3duk2Dep+rxvXr+Z1/69atssfXl+H1/tmoZygsJEQN69aRI8h8soJNNsVEhCsiNET70zMU4nRIsik4LEw2u131wkPVokVzv+vaezhNU+YuONpQZ7Mpsm49RdapK0lKSEjQ448/rubN/c8LAAAAFCueCu1wRMowvCoo2CXDcJsv9IPH41FOTo6cTkOGpJAQQx06OCXDK4fDrtjYUIWFOxQa6pDdbpPXa6igwK38PLcyMwvkdnvVsYNTG383ZMgrm4qUdWSvIiMjFWTh7+v+sNkcCg1NlMMRIYmp0P4ICwtTZGSkcnJyZA8KkdeTr717sxUXFx6wPfbsyZYkBQWFSJIiIyMVGhoasPwAAAAAUJOZNdUVFBRUUiUAAAAAAABAzUNTHQAAqNaaN2+ucePG6d1339WMGTMUWaeegsPCdeTAfmVk5eiTqT+rT5dO6tHuTNlsJ06WO7XMzCNKS0+XDMldWKjihrrG9evJbjFHMUdQkBrXr6e9h9OUX1god2GhnKFhSktPU7169RQbG2Mpj2EYWrL+d81esVper6Egp1MxDRoqODRMknTxxRfrzjvv5MOjAAAAKLfjp0JL0QoKaqX8/J3yeHIkSaGhDl14YbJCQsr21qHH4zk6Fdr9ZxOd06WkpsGKjHSoQcMIxcaG6lR/7Q4ODlJ0dIjiG0QoM7NAB/bn6rrr6mrHziK5XU7JZpfD4VBS06QyN9YVFLj166+pKig42kQYFBSpsLCmstudTIUuA5vNphYtWmj16tUKsofJ68nX9u2Z6tSpQcD2SE3NlCTZ7Uf/bdSyZUvL//YDAAAAgNNdXl6ez8eZVAcAAAAAAACUjqY6AABQ7YWGhurBBx/UWWedpTfffFOSVC8xSVkHD6ggJ1u//rZK2/bu1xXn9VRkeJhpvn379kmSPC6XvF6Pgux2Naxbx++GumJ2m00N69bRjgMH5fV65HG7FOR0av/+fZaa6nLy8vXd/EVK3bv/6PONjFJ0fAPZ7XZFRETo/vvv13nnnVem2gAAAIATnWoqdERECxUWHlBh4QEVFLi1ZMle3XprRyUlWbtIxPG2bt2qqOgIGYZXHk+uZAQpPMKpxMRoORx2C/VJdeqEKioqWLt2ZSkszC7ZbAoKipDNZle9eoZaNE/yu64dO47o44/X/NlQZ1NISAOFhBxt/mIqdNm1atVKq1evlsMRJZcrXb/9tk8DBpxh6Xttxu32atmyo/9+cziij+0HAAAAADiKSXUAAAAAAABA2ZX/kw0AAACV5Pzzz9cbb7yh1q1by263K7ZhI0XHN5DNblPq3v16/7up2rp7r88cefn5ys7JlgzJ43ZJkurFxMhRxkkXxRxBQaofc/QDxx6XSzKkrOxs08PMrbv36v3vpip1737Z7DZFxzdQbMNGstvtatOmjV5//XUa6gAAAFAhiqdC9+vXT5IUEtJAEREtZLMH6/DhPI0du1QzZ26XYRiWc2ZmZiotPU2S5PXkS4ah8AinkpNi/G6ycjjsSk6KUXiEUzKMo/kkpaWlKTMz03IewzA0c+Z2jR27VIcP58lmD1ZERItjDXUXX3yxxo4dS0NdGfXu3VuS5HTGyGZzKiurUMuW+f53mVXLlu1VdnahbDannM7oEvsBAAAAAMyb6phUBwAAAAAAAJSOpjoAAFCjxMfH6+WXX9Y111wjm82m8OgY1UtIkiMkRHkFhfrql9n6ZdkKuT2eU65PTyv+gK9bhuFVkD1I0RHm0+2siI4IU5A9SIbhldfjliSlpaWfMtbt8WjG0uX66pfZyisolCMkRPUSkhQeHSObzaZrr71WL7/8suLj4wNSGwAAAHAqxVOhn3jiCYWHhysoKEKREa3kcMbK6/VqypTNevvt5crKsvYhvH37j04V83qLZBgeBQXZlZgYLZu9bFOhbXabEhOjZQ+yyzA88nqLSuxjJiurUG+/vVxTpmyW1+uVwxmryIhWCgqKUEREhJ588kk98MADCg0NLVN9kJKTk9WuXTtJNgUHx0mSpkzZrCNHyjcN4ciRAn377WZJUnBInCSb2rdvr6Qk/6cUAgAAAMDpKi8vz+fjNNUBAAAAAAAApaOpDgAA1DgOh0M333yzXnjhBdWtW1eO4GDVS2iq8NhYSdLS9Rv18dSflXYk66S1Obm5kiTvn0130RFhsqlsH/A9kU22Yw16xflzc3NOiks7kqWPp/6sZRs2SZLCY2NVL6GpHMHBqlu3rl544QXddNNNCirn9DwAAADAquOnQttsQQoPS1JoaKIkuzZtStPLLy/Uhg2HfebIy89Tdna2JB1rfmvQMMLvCXUncjjsatgwokTe7Oxs5eX7/uDghg2H9fLLC7VpU5oku0LDEhUeliSbLYip0AH2l7/8RZIUElJfQUHhystz6aOP1qio6NQXOzFTVOTRRx+tUX6+S0FB4QoJrl9iHwAAAADAUWaT6goKynfBEwAAAAAAAOB0RlMdAACosTp27Kg33nhD3bt3l81mU3T9eNVp1ES2oCAdSMvQhz9M15ot22QYxrE1ecVNdV6vJCk0OCSgNYUGB5fIn/vnfpJkGIbWbNmmD3+YrgNpGbIFBalOoyaKrh8vm82mHj166I033lDHjh0DWhMAAABgxYlToYOD6yoy8gzZg8KUk1Ok8eOXa/LkTXK5vKdcXzyl2et1SYZXDqddsbGBmQAXGxt6tDnP8MrrPToVOr2UqdAul1eTJm3U+PHLlZNTJHtQmCIjz1Cwsy5ToStIt27d1Lt3b0k2hYUlSrYgbduWobffXu73xLojRwr09tvLtW1bhmQLOppPNqWkpKhr164VUj8AAAAA1FRmTXUej0dut7uSqgEAAAAAAABqFprqAABAjRYdHa1nnnlGd999t5xOp0IiIlQ/MUnB4eFyudz6Yf5iTZm3UIVFRUcPDv+cIGf82fQW7HQEtJ5gp7NEfrfHI4/Hq8KiIk2Zu1A/zF8sl8ut4PBw1U9MUkhEhJxOp4YPH66nn35a0dHRAa0HAAAA8MeJU6Ht9lBFhLdU8J+TwmbNStXYsUt04EDuSWuLpzQbxtEP68XGhMoWmKHQstl0rEHPMFySpJxTTIU+cCBXY8cu0ezZOyRJwcH1FRHeUnZ7KFOhK9jw4cOPe800O9ZY9+KLC7Vo0W653aduxizmdnu1aNFuvfjiwmMNdRHhzY597+6+++5KeiYAAAAAUHPk5fme4i5JhYWFlVAJAAAAAAAAUPME9lPkAAAAVcBms2nAgAFq166dxowZo927d6tu4wTlZKQrJz1NG7bt0N5DaRrQq8dxq45Or7PbAnuNgf/l+990vD0HD+n7BYt1JCdXstkUWbeeIuvUlSQlJibqiSeeUHJyckDrAAAAAMqjeCr0a6+9pqVLlyo0tIkcjijl5+/S7t1Z+sc/Fuvqq9uoe/fGstlsMmQoL/foB/kM42jzVFh4YN96PJbvz/x5uXkyZMgmmwzD0NKle/X11xtVVOSWzeZQWFiiHI6jF63o0aOHHnzwQS5iUYGioqI0evRojRw5Ujk5UmRES+Xn71J+fp6++GK9fvhhi7p1a6Tk5Fg1aRKlkJAgFRZ6tGdPtlJTM7Vs2T5lZx/9oGdQULjCwhJlt4cqMjJSo0ePVlRUVBU/QwAAAACofswm1UlHm+oiIiIqoRoAAAAAAACgZqGpDgAAnDaaNWumsWPH6v3339dPP/2kyDp1FRIWrswD+5SZnaPPf56pJtGRat2koSSbJENew6tADu/1GsXTF45+sHfTnv2auWGLDMNQkNOp2AaN5Aw9OmHj0ksv1R133KGQkJCA7Q8AAAAESvFU6B9//FEffvihpGhFRLRSfv5OFRXl6PPP12njxjRdc01bBQfb5PYcnVBX3PQWGhrYtx6L8xU37bk9bnm9XhUVGvrqqw1asWKfJCkoKFJhYU1ltzvldDp1++23q3///rIFamweSpWcnKyXXnpJo0aNUnp6uiIiWqqw6LCKCg8pO7tQv/6a6nO9zeZUcEicQoLrS7Kpbt26Gj16NBchAQAAAIBSWG2qAwAAAAAAAHAymuoAAMBpJTQ0VPfff786d+6sN998U7mS6iUmKevgARXkZGv9zj06eCRLnRIaKdRhV5HLrWBH4P5KVORySZIK3B4t2bBZh45kKyYmRqFRUYqOayC73a6IiAg98MADOvfccwO2LwAAAFARTjUVOiKihQoLD6iw8ICWL9+n1NQjuuHGtset+nMqtD2wTWz/y/e/qdDbtmVq4ufrlZaWL8mmkJCGCgmJl8RU6KqSnJysN998U++8847mzJmjkOCjTXIuV5bc7ix5vfnyeAp19PtoU1BQiOz2MDkc0XI6o3X0AihSSkqK7r77bibUAQAAAIAPeXl5pjEFBf/P3r9Hx3UW9v7/e8/MnptmdLPluy35EgVfEufiKXEgFpCVtEAODseBconb49N+6xDCOlC8OKiUquoJcSkptOCTY7e/gzlASalrE0MClLQBqdhJkJOgWCJBke1xHMsX2aPL3GfPzP79MZJixZYt2SPJkj+vtbpqzez9PM8OtrU92p/nk5qAlYiIiIiIiIiIiEw9CtWJiIjItPTOd76T2tpaHn30UV555RXK58wl0e8nFo9xqrefX8YT1F2/hFQmTcDnLdq8qUwGK5vjl789TMLKYpomZbPm4CstBWD58uVs2bKFWbNmFW1OEREREZHx9tZWaI9nNi5XkETyKGfPJtj2jRd423K45ZYyhlqh8/alhh2TN8crtEK/+GIfr776AnbexuFw4/NV43T6AbVCT7ZgMMiWLVuoq6tjz549tLW1YZplmGbZJc9dtWoVGzZsYM2aNROwUhERERERkalNTXUiIiIiIiIiIiKXT6E6ERERmbZmzZrF1q1b+ed//me+//3v4y8tw1M+g0z3KRIZixN9/XjdbmaUlWJw5S0aNjb98SQn+vpJZCxsw8BTXomvtBTDMPj93/99PvKRj+B0OotwdSIiIiIiE+u8Vug4BEpqSaXewLJ6ee7ZPt44luJd7/ZT4odUKovbXbx731QqC0AiYfPMM6c4fjxFWVkZplmO17sAw3CqFfoqEwqFCIVCHD16lObmZjo6Oujs7CQWiw0dEwgEWLZsGbW1taxbt47q6upJXLGIiIiIiMjUMppQnZrqRERERERERERELkyhOhEREZnWnE4nH//4x1m2bBkPP/wwM6qqiHafAsPAdLrI5XP0x5OUlfiveK7+eJJcPofpdIFRCOnNHGik+8IXvsDb3/72K55DRERERGSyvbUV2uerxukKEo3FOXYsyQ9+kOJD95WTTGQpLS1eU1wykSWdzrPnB73EojZOl4nPtxDTrATUCn01q66uZuPGjQDYtk0qlcKyLEzTxOv1YhhXvsmJiIiIiIjItSiRSFzyGDXViYiIiIiIiIiIXJhjshcgIiIiMhEGmxBMpxPT5cLpMJhTWQHA2b4+srncFY2fzeU409cHwJwZFTgdBm6XC9NZuN2Kx+NXNL6IiIiIyNVksBX6Ix/5CIZh4DYrsfPzyOYMov15wuE0vX0pbLs489k29PamCIfTRPvzZHMG2PMwzUoMw+AjH/kIW7duVaBuCjAMA5/PR2lpKT6fT4E6ERERERGRy5TL5bAs65LHqalORERERERERETkwhSqExERkWvC/v37AUjHY3g9HmaXl+H1enE4nOTyeU5Geshf5hO/edsunJ/P43A48Xq8zC4vw+P1kBoI8w3OLyIiIiIyXQy2Qn/hC18AoLJyFtiF0JTpdpK18vT2FufBvd7eFNlsHtPtLISwbIPKytlAoRX64x//OE6nsyhziYiIiIiIiEwFyWRyVMepqU5EREREREREROTCFKoTERGRaS+ZTPLSSy8BkIpHMU2TFYurwQCXxwMYJNNpus6cHXNjXTaXo+vMWZLpNGAUxjNgRU01psskFS+E6l588cVR/3BTRERERGQqGWyF9ngceL1OnE6DRYsCAJw6GSebzV/R+NlsnpMnC83PixYFcDoNvF4Hbneh4Uyt0CIiIiIiInItSiQSozpOoToREREREREREZELU6hOREREpr2WlhYsyyJrZcimMzgcDt5x6y24TRPD4cDt9TIYrDt66jR98QQ2F2+ts7Hpiyc4eur0UKDO7fUWxjNN3nHrLTgcBtl0mqyVwbIsDhw4MCHXKyIiIiIykQZbmbPZPjweL4sW+fB6vRiGk1wuz7Fj/dj5y2uFtvM2x471k8/lMQwnXq+XhYt8eDxestm+YfOLiIiIiIiIXEtGu5ljKlWcFnkREREREREREZHpRqE6ERERmVS2bZNIJOjv7yeRSGDbl/ew7cUMPmSbGmjQqJk7m4DfR+311+NyOjGcTtw+Hw6Hk3w+z+meHo50neJMXx+xZJJMNks2lyeTzRJLJjnT18eRrlOc7ukhn8/jcBTON5xOXE4ntddfT6DER83cOcPm1cO+IiIiIjLdnNsKbVl9mKaLm2+eC4DD6QPDIBG3CB/tG3NjXTabJ3y0j0TcAsMojAfccstcTNOFNRCqUyu0iIiIiIiIXItG+29hNdWJiIiIiIiIiIhcmGuyFyAiIiLXnnA4THNzMx0dHRw6dIjYQOgMIBAIsHTpUmpra6mrq6O6uvqK5kqn00MNcalYFIC3VS8EwO/z8bbly+n47W/JWBam10cua5GzLHL5HD3R2IjjAhiGA6dp4nSZYIDbNKm9/nr8vsLDvtdXL+Tw8ROkYjECFZUcOHCAdDqNx+O5omsSEREREblaDLZC5/Np8vkkTqeDO+9cSeehV7EsC6fTTy6XIBG3eO21HubMKaG83IthjDymbUNvb4qTJ+Pkc3kwDJxOP4bhwDRN3vPut/GLn/+SfC5JPp/GsuDAgQPccccdE3fhIiIiIiIiIpMskUiM6jg11YmIiIiIiIiIiFyYQnUiIiIyYVpaWti9ezft7e0jHhOLxWhtbaW1tZVdu3axcuVK7rvvPtasWXNZc77wwguk02lylkU2nQYDrlu0YOh9v8/HqlU3cPToUc5Gzg6F5PK5LPlcDiub5dDJbrqjUaqCQZbOqcJ0uXA4nTicLhh4GHhG5Qyqq6txuZxDY9cuWsBPnv0V2XSKnGWRotCisXbt2su6FhERERGRq81gG7Nl9QJQW1tJMOjj+uuv59VXXiWbA6ezpBCAy+XoOh7l9Kk45eVefH4XXq8Lh8Mgn7dJpbIkE1l6e1NDrXaG4cTh9GEYDlxOF9cPbGJRW1vJq6+ewbL68HhmsX//foXqrlG2bZNMJslms7hcLnw+H8bFUpsiIiIiIiLThJrqREREREREREREroxCdSIiIjLuotEo27dvp7m5GSg89JiOx0gnEljpFDkrg23bGIaB03Rjerx4/H48JQHa29tpb2+nrq6OzZs3EwwGxzT34EO+qXihda56zmxKvN5hx7hcTpYuXcKMGTM4efIE/dEoDpeLWMbi+dfC9MYLO32eiac4EY3z9tollA60zZUGg8yZO5fysrLz5i7xelk0exavnzxNKh6jpLyC/fv3K1QnIiIiItPCua3Q2WwfAKtXzwbA7/PztuVv47e//W2hsc5VQj6fIZ/PkM3mOXPmErvpGw4cDjcOhxsA0zQHAnV+AG66aTavvnqGbLYQqlMr9LVlItvPRURERERErlajbapTqE5EREREREREROTCFKoTERGRcRUOh2loaCASiYBtE+/tJd7XQz6bPe9Y27bJptNk02mS/X04XC5KyiooKS+nqamJgwcP0tjYSE1NzajmtiyLlpYWAFIDD1leX71wxOPLy8soLy8jkUiw/9cHaf7Na6QzGQDSNngM6E8kaf7Na6xbvYrbb7oBv99/0TW8rXphIVQXK4TqfvWrX2FZFqZpjuoaRERERESuVoOt0Pl8hlwuiWEY3HDDrKH3/T4/N6y6gaOvH+Xs2bNDIbl8PottW2StHC+/HOONN9IsWODhxhsDuEwnhmHicLz5seWMGTOoXlSNy/XmazfcMIvvf/835HIJ8vkMqZRaoa8Fk9F+LiIiIiIicrUabVNdKpUa55WIiIiIiIiIiIhMTQrViYiIyLgJh8PU19cTi8XIZjL0nT6JNfCDuxKfl1VLalgwq4qqinLcLheZbJbunl7eON1N2+Ew8WSK6NluUvEoZbPmEIlEqK+vZ+vWraMK1v36178mkUiQy2ax0kkw4PpFCy56TiqT4ae/epFXw6/j9fkonTGD4MxZGA4Hdj5P9MxpMokEv+o4RNSyeO/a38Hrdo843vXVC/nZ8y9gpZPkslkSiQStra16oFNEREREprzBVmhroKVu2bIKgsHh98Yul4ulS5Yyo3IGJ06eIBqN4nC4iETy/OzfIpw5U9jE4vjxJIcO5fjd362iorLwkWUwGGTu3LmUl5WfN3cw6Gbp0go6OyNks3243VVqhZ7G3tp+DjaW1Uc2GyWXT5LPpQEbMHA4PTgdPlyuIKZZdsXt5yIiIiIiIler0Ybq1FQnIiIiIiIiIiJyYQrViYiIyLiIRqM0NDQQi8XIpJL0dB3Hzufxety8Z83N3LCkBqfTed55laVBrq9eyLtuWc3Bw2GeOfASqVSKs2+8TsW8+cSAhoYGtm3bdsmHIQcf8k3Fo2DDglkzCV6kWe6N093sbd5PXywOhkGwciYlFRVA4WHgbDZL5bwFxHsiRCNneeXI63R1n2X9uttZMKvqgmMG/X4WzJrJG6fPkIrHKCkrZ//+/QrViYiIiMiUdm4rdNYqhOpWr5494vHl5eWUl5cTT8R55j9e40dPHiedssjnDeJxFyUlWc6etdi9p5v/cs9i3nPndZT4Sy66hptumk1nZwTLKoTq1Ao9PQ1rP8cmnT5DJtONbVsXONomn0uSzyWxrAiplInbXYXHM/Oy2s9FRERERESuZolEYlTHqalORERERERERETkwhyTvQARERGZnrZv304kEiGbyQwF6hbMruL/W/8+brpu6QUDdedyOp3cdN1S/r/172PB7CrsfJ6eruNkMxkikQg7duy46PnZbJbnn38egHQsBsDbqhdd8Nh8Ps++l9v4zk/+nb5YHKdpMmP+wqFA3fve9z6+/e1v8773vQ+AkopKZsxfiNM06YvF+c5P/p19L7eRz+cvOP711QsH1hEF4LnnniOXy110/SIiIiIiV7PBVuh83iKXS2AYBqtXz7roOcmkxb98v5Onnz6F1+OnsnIBCxa8neuv/x0WLHg7lZUL8Hr8PP30Kf7l+50kkxcKTb1pcL5crrCOwVZomT4G288jkQj5fIp4vJN0ugvbtggGPbznPTX80R/dxBe/eAcPP/wuvvjFO/ijP7qJ97ynhmDQg21bpNNdxOOd5POpofbzcDg82ZcmIiIiIiJyxdRUJyIiIiIiIiIicmXUVCciIiJF19LSQnNzM7Zt03f65FCg7qN3vRvTNbbbj6Dfz0fvejePP/1z3jjVTd/pk8yYv5Bf/OIXvP3tb2f16tW4XC58Ph+GYQyd19bWRjQaJZ/LkUkVfqhYW73gvPH743F++J/P8vrJ0wB4g6WUVs3C4XAQCAT4H//jf3DbbbcB8IlPfIKbbrqJr3/968SAGQur6e8+RSoapenFlznSdZL1d9xOsGR4G9711Qv5j5aXyKSS5HM5otEobW1trF69ekz/LURERERErhaDrdDZbB9gU1NTTlmZd8TjDx/u4dvfPkgkkgQMPJ65eDyFtufBVmiXawnp9GnS6ZO89NJJjh7t4w/+4AaWLKm44JhlZV4WLy7nyJFestk+3O6ZaoWeRs5tP8/l4sQTR8DO4febrF9fSyg0D5fr/D3jqqr8rF49m3vuuY6Wli727u0gkUgQi3dS4l9MLDb69nMRESmO3t5eWlpaOHLkCL29veTzecrKyliwYAGhUIg5c+ZM9hJFRESmpNGG6tRUJyIiIiIiIiIicmEK1YmIiEjR7d69G4BEby9WKoXX4+aDde8Yc6BukOly8cG6d/D1f/kBJ06dputsBCuXZ9OmTSxfvhyAQCDA0qVLqa2tpa6ujn379gGQisfAhrkzKykPBIaN2/H6Gzy17zmS6QyGw0Fp1Sx8wVIAVq1axWc/+1lmzpw57Jy1a9dy3XXX8eijj9Le3k757Lkk/SX0d5/m9ZOn+f/98Me8/x23UbvozQBfeSDAnBmVnDwbIRWP4S8tY9++fQrViYiIiMiUdG4rtGX1AXDTTRd+GD6ft3n66SP85Ced5PM2DocHn28RTmdhI4r3ve993H///Xz3u9/lxz/+MR7PLFyuAMnk60QiSb7+9Rbe+95l3HXXYhwO47zxV6+ezZEjvVhWIVT33HPP8clPfvKSzdhy9RtsP8/nU0OBuiVLKti06caLBjgHuVwO1q5dwIoVM9m582UOH+4hnjhCoGTZUPv5li1bJuBKRESK7y//8i9pbGy87PP/8A//kG9961vFW9AI9uzZw7Zt2/jFL36BbdsjHnfzzTfzwAMP8N//+3/HdZmfH4qIiFyLEonEqI5TU52IiIiIiIiIiMiFnb+Vr4iIiMgVCIfDtLe3Y9s28b4eAN6z5maCfv8lzhzZa8eO80TTPvrjCXr6o/T19pLNZolGo0O7cMZiMVpbW9m1axef/OQneeyxx+jt7SUViwKFtrhBVjbLvz1/gH99pplkOoPp9TJjYTW+YCmGYfDxj3+cL33pS+cF6gbNnDmTRx55hI9//OMYhoEvWMqMhdW4PF6S6Qz/+kwz//b8Aaxsduictw3MP7ieZ599lnw+f9n/TURERESKybZtEokE/f39JBKJiz70LDLYCm3bWXK5OACrV88677ienhTbth3gqadeI5+3Mc0KSkpqcTr9BAIBvvCFL/CJT3yCYDDIJz7xCf7sz/6MQCCA0+mnpKQW06wgn7d56qnX2LbtAL295++sf9NNswHI5eLYdnaoFVqmtsH2c7BJJo8NBeoefPDWUQXqzlVW5uXBB28tNB7aucJ42DQ1NdHS0jIu6xcRudadPXuW97///WzYsIGf//znl7y3fOmll9i8eTO33XYbnZ2dE7RKERGRqW+0TXUK1YmIiIiIiIiIiFyYtnsUERGRoio8+AjpeIx8NkuJz8sNS2oua6xkOs2/PXeA3xw5CkDQ76c/FsMJuMnjdDg4eeg1/H4fTtON6fHi8fvJ5G3OnDnD2TNnqPS68fl8Q6G2M719/KBpH909vWCAv6yC4IyZGIZBVVUVW7ZsYcWKFZdcm8Ph4CMf+Qg33ngjX/nKVzhz5gwzFiwkevYMib4eXnilg9dPnuaDde9gZnkZ11cv5BcvtpJJJsnnc/T29vLKK6+wcuXKy/pvIyIiInKlwuEwzc3NdHR0cOjQIWKx2NB7b20Brq6unsSVytVmsBW60FJns2hRGZWVvmHHHDx4mn/6p3YSiQwYTnze+ZhmBTD6VmifbxEuV5Bk8jidnRH++q+f5eMfX8kNN7wZ4Kus9LFwYRnHjvUNtNXNUCv0NDDYfp5OnyGXS+D3m2zadCNu9+U1ELrdTjZtupFHHtlPMpkgnTmDx13Fnj17CIVCxVy6iMg1r7+/n7vvvpsXX3zxvPeqqqpYuHAhhmFw/PhxTp48Oez9F154gXe/+93853/+JzU1NRO0YhERkalrtKG6VOr8TWpEREREREREREREoToREREpso6ODgDSiQQAq5bU4HSO/cHH05Ee/vnff0EskcQGclaGXDZLmdeDlc1iDByXy2Wx8zbZdJpsOk2yv48z/VFyloXXbZLJZAh4TDwuFy/+9jX+/Vcvks3lcLiclM2ag8dfAsDtt9/Opz71KQKBwJjWuWLFCr7xjW/wjW98g/3791M6swqP30/f6ZN09/TyzR/9lLvefis3XbeUqopyunt6Scfi+EpL2b9/v0J1IiIiMuFaWlrYvXs37e3tIx4z2AI82AS8cuVK7rvvPtasWTOBK5WrUT6f59lnnwXAyvYBsHr17KH3LSvH3r0dNDe/DoDT6cfnW4TD4cEwDD72sY/x4Q9/GIfDccHxB1uh/+Vf/oXvfe97mGYFTqefZPJ1EokE//iPL7Fu3SLWr6/FNJ0D888qhOqyhVDds88+ywMPPDDiHHJ1G2w/B5tMphuA9etrx9xQ91ZlZV7uvbeWxx9vJ5PuxuOeSVtbG0ePHlVwWESmvEcffXRMgfJ58+aN21r+7M/+7LxA3Qc+8AH+8i//kptvvnnY66+88gpf+tKX+Kd/+qeh19544w3+5E/+hJ/97GfjtkYREZHpIjHws7hLUVOdiIiIiIiIiIjIhSlUJyIiIkVj2zaHDh0CwEoXdr1cMKtqzOOcjvTw3X/7D1LpDPl8nmwmTT6XAyDg8TBjRjkzgkFmVpTjcZssX7GS7p5e3jjdzcFDR4ieOEk2m8PhAEwXM4MBvvmDH9GbzuB0OPH4SyibPQeH04nb7eZP/uRPuPvuuzEM4+ILG0EgEODzn/88//Zv/8Y//uM/AjBzYTW9p06RScT5yf5fcaTrBDVzZ9Pd00sqHh0K1f3xH//xZc8rIiIiMhbRaJTt27cPNQuDjWX1kc1GyeWT5HNpwAYMHE4PTocPlyuIaZbR3t5Oe3s7dXV1bN68mWAwOIlXIpPpN7/5DX19fdh2lly20G64enWhOe7kyRjf+tbLdHVFAQO3eyYez9yitEL7/ctIp0+QyZyhufl1Ojt7+G//7UbmzAmwevVsnnzyNXLZGLatVuipbvDvKMvqw7YtSks9hELFCX+EQvN48slOotE0ltWPaZbR3NzMxo0bizK+iMhkufXWW3nXu9412cvg9OnTbN++fdhrn/jEJ3jssccuePzy5cv57ne/y/XXX89f/MVfDL3+9NNP8+yzz7J27dpxXa+IiMhUp6Y6ERERERERERGRK6PtmkVERKRokskksVjhwdqclQGgqqJ8bGOk0/zzv/9iIFCXw0olyedyeE2Td6+8no+vezurFsxlblmQgM+L6XRSVlLC9dULuTN0C//1Xe+ksjSI0+nA5TDI5/J0njjF691nicVi+CsqqZg3H4fTSU1NDX/3d3/H7/7u715xsM0wDH7v936Pv/u7v6OmpgaH00XlvPkEZ1aBYfBq+BgvvPoaUGjxy+fznDlzhtdee+2K5hUREREZjXA4zEMPPTQQVrFJp7uJRl8hmTyKZUXI55JAnkKoLk8+l8SyIiSTR4lGXyGd7gZsmpqaeOihhwiHw5N5OTKJ9u/fD0A22w/YzJsXpKrKz759x/jKV56jqyuKYZj4/YvxeudhGAa33347X//610cVqDvXYCv07bffjmEYeL3z8PsXYxgmXV1RvvKV59i//w1mzfIzb14QsMkOtOcNrlOmnsH282w2CsCaNXNxuYrzMbbL5SAUmjswfv+w+URE5Mo9+eST5AY2xgKoqqri0UcfveR5X/jCF1i+fPmw1370ox8VfX0iIiLTzWhDdWqqExERERERERERuTA11YmIiEjRZLPZoV/btg2A2zW2241/e+4AsUSSfD6PlUph2zZzK8q4+8YVlHg9ZHP5wRnOmSvP4F4Brx07TllJCT7TJBGPkcvnyWZz4HCQyEF3bx+lM2Zyzz33sGnTJtxu9xVd81stXLiQv/3bv+Wb3/wmTz31FCXlFbi9PnpPnSBnWYMLJhOP4w0G2bdvH7W1tUVdg4iIiMi5wuEw9fX1xGIx8vkUyeQxcrkEAMGgh1BoLosXlzNvXhCPx0k6naOrK8qRI720tJwgGk2TTneRzfbi8y0kEolQX1/P1q1bqampmdyLkwll2zbPPvssUGgRA6itreSb32yltfUUAC5XKT7fQgzDNU6t0EFKSmpJpV7HsqL88z+38+qrZ6mtraSrK4pl9WGalWqFnqLObT/P5QsPhy5eXF7UOWpqCuPlB8bv7OzEtm39XhERKYLf/va3w77+3d/9Xfx+/yXPczgcfPCDH+SVV14Zeq2zs7Po6xMREZluEonEqI5TqE5EREREREREROTCFKoTERGRonGdE6AzDAPbtsmcE7S7lNeOHec3R45iA9lMeihQd8+tN2I6nQDk7cFQ3ZsPPBpGIVBn2zavHj1WeM3O43W7SWUyJDJZkrkMptdHX18f//W//lc2bdp0ZRd7EW63mwceeICbb76Zv//7vycKzFxYTV/3aVLRQhtCMh7FGwyyf/9+/tt/+296gFNEZIqwbZtkMkk2m8XlcuHz+fR3uFzVotEoDQ0NxGIxcrk48cQRsHP4/Sbr19cSCs27YANUVZWf1atnc88919HS0sXevR0kEgli8U5K/IuJxaChoYFt27YRDAYn4cpkMnR0dHDmzBlsO082W2io/s//PEYulwcMPN65eNxVANTU1PC5z32OhQsXXvG8g63QK1eu5G/+5m8Ih8P4/UtIZ7pJp07w61+fxOks/D7OZmPY9put0NrAYmo5t/08nys89FloISye+fML4+UGxo/FYqRSKXw+X1HnERG5FkUikWFfj+U+YNGiRcO+7u3tLcaSREREprXRNtWlUqlxXomIiIiIiIiIiMjUpFCdiIiIFI3P5yMQCBCLxXCabrLpNN09vVSWju4hyOfafgNAzsqQz+XwmiZ337hiKFAHkBloezMchYdmXU7n0AO0pyI99MXi2NjkczkMw8BfEuBs4gz5vI3X7eZtK1bQ0dFRzMse0dvf/na+/vWv87d/+7e0tbVRPnsOSb+f/u7TZBJx7HyekydPcuTIEZYsWTIhaxIRkbELh8M0NzfT0dHBoUOHhh72h0KD0tKlS6mtraWuro7q6upJXKnI+bZv304kEiGfTw0F6pYsqWDTphspK/Ne8nyXy8HatQtYsWImO3e+zOHDPcQTRwiULCMSibBjxw62bNkyAVciV4N9+/YBkM32A4XNLnK5PA6HB59vEU5noYlmolqhPe4qXM4SksnXhwJSkCeb7cc0y9UKPQVlh23KUmgn93icFz74Mr053pvt55ZlKVQnIlIEZWVlw74e7YP+Fzp25syZRVmTiIjIdDba77VqqhMREREREREREbmw87ciFxEREblMhmGwdOlSAExP4SHtN053j+rc05Eejp3qxgZyAw9Srq1dQonXM+y4VCYDgGMgVFdSUjL03mBLXT6Xw3A4MH0+3G43VRXlzCgrZXZZENM0aWtr4+jRo5d/oWMwc+ZMvvSlL3H//ffjcDjwBUuZsbAal9tDOpEAYP/+/ROyFhERGZuWlhY+//nP86lPfYpdu3bR2to6LFAHhXab1tZWdu3axUMPPcTnP/95Dhw4MEkrFhmupaWF5uZmwCaZPDYUqHvwwVtHFag7V1mZlwcfvJUlSyrAzhXGw6apqYmWlpZxWb9cXWzbHrpvtazeoddNs5KSklqcTj/BYJA///M/Z/PmzUUP1A0abIX+8z//c4LBIE6nn5KSWkyzYuiYwfXt378f27ZHGEmuRue2nw+2k6fTuaLO8eZ4bzbNmqZZ1DlERK5VN91007Cvx3Kf+Ktf/WrY17/zO79TjCWJiIhMa4mBnzNdiprqRERERERERERELkyhOhERESmqwSYIj7/QUtF2OEwud+mHINuPFEJu+VwWO5/H73FTO2/2sGNsbPrjhV03HQPtdSUlgaH3u3t6gUK4z/T6cBgOygIlfOKD97BwdhV2Lkc6HgcYeMB8YjgcDn7/93+fv/7rv6aqqgqXaVI5fyEOV+EawuHwhK1FREQuLRqN8pWvfIW/+qu/or29HbCxrF6SyWPE4h309x+kv/9l+vsPEot3kEweGwhw2LS3t9PY2Mijjz5KNBqd5CuRa93u3bsBSKfPkMsl8PtNNm26Ebf78lqf3G4nmzbdiM9nksslSGfOALBnz56irVmuXkeOHOHUqVPYdp5sNgqGE59vET7fQgzDwQ033MA3vvEN3v72t0/IegZboVetWoVhOAbWsggMJ9lsFNt+sxVapo7B9nMAh7OwwUpXV3G/nx4/XhjPOTB+IBDA6x1b0FhE5GqUTqd55ZVX+OUvf8nzzz9PZ2fnqB+0L5Z77rln2AZY+/bt49lnn73keZ2dnUP3rgBer5ePfexj47JGERGR6URNdSIiIiIiIiIiIldGoToREREpqnXr1gHgKQngcLmIJ1McPBy+5HknzpwFCi1zALVzZ+N0DL9V6Y8nyeVzGIYDh7PQYDBjRuXQ+zPKSgFwOJwYwNtqFvFHH3gv1XPnsGpJDQDpRCFU19HRcdnXeLmWL1/ON77xDd75zndiGAZurw+AhQsXTvhaRETkwsLhMA899NBQu1c63U00+grJ5FEsK0I+lwTygA3kyeeSWFaEZPIo0egrpNPdDLZ3PfTQQwpOy6QJh8NDodBMptAcvH597Zgb6t6qrMzLvfcWNlHIDPx+n8gWYJk8+/btAyCbjeJ0egkMtMM5HA42btzIww8/zIwZMyZ0TW9thTbNCgIl1+F0egvBP9QKPdWc237udBT+vXTkSG9R5wiHC+M5BsZftmwZhmFc5AwRkavfJz/5ScrLy1mxYgV33HEHt912G9dddx1lZWXcdtttNDY20t3dPe7rKC8v58/+7M+GvbZhw4aLNta98sorvO997yOTyQy99vDDDzNr1qxxW6eIiMh0MdpQnZrqRERERERERERELsw12QsQERGR6aWmpoaVK1fS3t5OSVkF0bPdPHPgJZbOn0twoL3urWzb5mSkp/DrfB6AOeWlw47J5nKc6esDwGmaYEBpMIjP5xs65o6bbsDhcHCmt4+VS6p5W/WioYcj58+aCe1gpQs/OOzs7MS27Ql/eLKkpITPfe5z3H777TQ3N7No0SJ+//d/f0LXICIiFxYOh6mvrycWi5HPp0gmj5HLFZodgkEPodBcFi8uZ968IB6Pk3Q6R1dXlCNHemlpOUE0miad7iKb7cXnW0gkEqG+vp6tW7dSU1MzuRcn15zBVl7L6sO2LUpLPYRC84oydig0jyef7CQaTWNZ/ZhmGc3NzWzcuLEo48vVaTA46XC48PsLIaRZs2axZcsWli9fPmnrGmyFvvHGG/nKV75Cd3c3fv8y8vnC398KN089tbW1tLa24nIFsawIBw6c4J57rsPluvL94bLZPC0tJwBwuUqH5hMRmep+85vfXPD1bDbL888/z/PPP8+Xv/xltmzZQkNDA07n5TUXj8bnP/952tvb+d73vgfAiRMnWLt2Le9///u5++67qa6uxjAMjh8/zjPPPMOePXuwLGvY+Z/97GfHbX0iIiLTyWhbadVUJyIiIiIiIiIicmEK1YmIiEjRbdiwoRCqKy8nFY+SSqX4QdM+PnrXuzFd599+ZCyLVLqwG/VgqG5GMDD0fn4gdJfP53E4nDhdJgBz5s4dNo7pcvGuW1ZfcE2zKioAyFmFeWKxGKlUalgob6IYhsEdd9zBHXfcMeFzi4jIhUWjURoaGojFYuRyceKJI2Dn8PtN1q+vJRSad8GH+auq/KxePZt77rmOlpYu9u7tIJFIEIt3UuJfTCwGDQ0NbNu2jWAwOAlXJteqwVbewbauNWvmFiWQAuByOQiF5vLMM2Gy2UKobjJagC/Ftm2SySTZbBaXy4XP51Mb1RVYsGABzz//PE5nCQDvfOc7eeihhygpKZnklRUMtkJv27aNX/7yl0PrVCv01LNu3Tp27dqFaZaRSpn096dpaeli7doFVzx2S0sX0WgawzAxzdKh+URErgXJZJL/9b/+F//5n//Jj370IwKBwKVPugwOh4Pvfve73H777UMNeblcjh/+8If88Ic/HPG8d7zjHTQ2NnLnnXcWfU2nT58ec1NfZ2dn0dchIiJSbKNtqkun05Oy0aSIiIiIiIiIiMjVTqE6ERERKbpQKMS6detobm6mbNYczr7xOm+c6ubxp3/OB+vecV5jXW4gSAdgD/x/c2DH7Gwux8lID8l0GjBweTxgwIzKGZSXlY16Te6BMJ9t20OvWZY1KaE6ERG5+mzfvp1IJEI+nxoK1C1ZUsGmTTdSVua95Pkul4O1axewYsVMdu58mcOHe4gnjhAoWUYkEmHHjh1s2bJlAq5EpHC/c+jQIQBy+cLDVYsXlxd1jpqawnj5gfEnqwX4rcLhMM3NzXR0dHDo0CFisdjQe4FAgKVLl1JbW0tdXR3V1dWTuNKp52Mf+xhOp5PXX3+duro63vGOd0z6/95vpVbo6eHc9nO3u4p0uhBaX7Fi5qi+J4+kry/FE08UAsBuTxVgsGrVKv1dICJTlmEYQw1wv/M7v8Py5cuprKzE4XBw9uxZXnzxRZ588kn+3//7f6RSqaHzfvGLX/CRj3yEvXv3jltjnWEYfPKTn2T9+vV84hOf4Mknn7zo8e94xzv47Gc/y7vf/e5xWc9jjz1GY2PjuIwtIiIyWQY3ExqtTCaDx+MZxxWJiIiIiIiIiIhMPQrViYiIyLh44IEHaGtrIxKJUDFvPj1dx3njVDf/8MRT3Bm6hRuW1Aw9uON0vNmaYlAI1mVyWax4ljN9feTzecDA7fViOBy4TXPMDz5mstnC+Oc8+Gua5pVepoiITAMtLS00NzcDNsnksaFA3YMP3orbPbaHTMvKvDz44K089tgLHD7cQzJ5jJKSZTQ1NVFXV0coFBqfixA5RzKZHAqT5XNpAObNK25T4vz5hfFyA+NPZgswFP4c7969m/b29hGPicVitLa20trayq5du1i5ciX33Xcfa9asmcCVTl1ut5uNGzdO9jIuSa3Q08Ng+7nHM5NstpdEIsHOnS9f1vdmgEwmx86dL5NMWjidfjzumUPziIhMRXfffTcf+9jHqK2tveD78+bNY968edxzzz38+Z//OR/5yEfYt2/f0PtPPfUUjz32GJ/61KfGZX3xeJwvfvGLbN++fVQP++/bt499+/bxtre9jZ07d3LbbbeNy7pERESmk3ND86ORTqcVqhMREREREREREXkLx6UPERERERm7YDBIY2MjgUAAt9fHjAWLML1e0hmLH+97nm3/upf/aHmRV4++TiyZwuV0kslmyebzZLJZ2o4c43RPD/l8HofDidvnw3A6cTmd1F5/PS7X2B6kPN3TA4DTdAOFphKv9/JbDkREZPrYvXs3AOn0GXK5BH6/yaZNN17WQ/sAbreTTZtuxOczyeUSpDNnANizZ0/R1ixyMdmBzQQKCi29Hk9xW0jeHG94C/BEi0ajfOUrX+Gv/uqvBgJ1NpbVSzJ5jFi8g/7+g/T3v0x//0Fi8Q6SyWNYVi9g097eTmNjI48++ijRaHTC1y4iIxtsPwcDn28hGE4OH+7hscdeoK9vbA+O9vWlhsLuGM7CeBjU1dUpVCsiU9btt98+YqDurRYsWMC///u/s3bt2mGvP/zwwyQSiaKvraurizVr1vC1r31tKFB3/fXX89hjj/Hqq68Si8VIJBIcOnSIb33rW9x6661D57766qvccccdPPHEE0Vfl4iIyHQzlpY6GHsIT0RERERERERE5FqgpjoREREZNzU1NWzdupWGhgYikQgz5i8k3tdLvLeHeDLF8+2vwkCZyPHuMyRSaUrcLjwuJ93RKHPKS3GaJk6XCQa4TZPa66/HfxkNKMdPFwINpqcQpFu2bNmw1joREbk2hcPhoSBOJtMNwPr1tZSVXVnwuqzMy7331vL44+1k0t143DNpa2vj6NGjY25bFRkrl+vcj3sKPcDpdK6oc7w53uS1AIfD4aH7zMI1niGT6ca2LxTus8nnkuRzSSwrQipl4nZX4fHMpKmpiYMHD9LY2EhNTc2EXoOIjOzc9vMS/2LiiSMcPtzDI4/s5957awmF5uFyjbxnXDabp6Wliyee6CCZtMBwUuJfjMPhpbKyks2bN0/g1YiITC6v18u3v/1tli9fPrQBw+nTp/nZz37GvffeW7R5UqkUd999N6+++urQa3/8x3/M//7f/xu32z3s2CVLlrBkyRL+4A/+gC9+8Yt86UtfAgobRHz0ox/lxRdfZPny5UVZ14MPPsiHPvShMZ3T2dlZ1P82IiIixTbWUF06nR6nlYiIiIiIiIiIiExdCtWJiIjIuKqpqWHbtm3s2LGDpqYmSsor8JeVk47HSSfiWOkUOSuDx+0mkU6TtcFrOOjqjXHzMi8OZ+EhyRmVM6iurh5zQx1ALpej7XAYAI+/BGDUu3mLiMj01tzcDIBl9WHbFqWlHkKheUUZOxSax5NPdhKNprGsfkyzjObmZjZu3FiU8UVG4vP5CAQCxGIxHE4P+VySrq4oVVX+os1x/Hih2c3p9AAT3wIcDoepr68nFouRz6dIJo+RyxWaVoJBD6HQXBYvLmfevCAej5N0OkdXV5QjR3ppaTlBNJomne4im+3F51tIJBKhvr6erVu3KlgncpUYbD8v/FmHQMkyksljJJMJHn+8nSef7CQUmktNTTnz57/5Z/348Sjh8Jt/1gGcTj8+30IcDi+BQIDGxkaCweAkX6GIyMRatmwZH/jAB4Y1aBc7VPflL395YNOSgve85z3s2LEDh2PkELRhGDz88MO8/vrrfOc73wEK4bzPfvaz/PjHPy7KumbNmsWsWbOKMpaIiMjVYqyNswrViYiIiIiIiIiInE+hOhERERl3wWCQLVu2UFdXx549e2hra8MbCOANBN48JpGgra2t8IUDUtksR8+cZfWyJcyZO5fysrLLnv/g4TDxZAqHy4WnpBCqW7du3RVdk4iITA8dHR0AZLOFgNCaNXMv2nozFi6Xg1BoLs88EyabLYTqBucTGU+GYbB06VJaW1txOnzkc0mOHOll9erZRZsjHO4FwOEoNAhPZAtwNBqloaGBWCxGLhcnnjgCdg6/32T9+pHbq6qq/KxePZt77rmOlpYu9u7tIJFIEIt3UuJfTCwGDQ0NbNu2TWEbkVGybZtkMkk2m8XlcuHz+Yr6d8Fb289LSpaRzpwhk+4mGk3zzDPhi55vGCZuTxUe90zAoLKyUq2UInJNu/POO4eF6n77298WbexcLse2bduGvfbwww9fNFB3ri996Uv80z/9E/l8HoCf/vSnHDt2jIULFxZtjSIiItPJWJvqUqnUOK1ERERERERERERk6lKoTkRERCZMKBQiFApx9OhRmpub6ejooLOzk1gsht/vJxgMkkwmcXncmHae13ujvG/RIoL+y29ViSYS/EfLiwCUlFdgGAarVq2iurq6WJclIiJTlG3bHDp0CIBcvvAQyuLF5UWdo6amMF5+YPzOzk5s256w8JFcu2pra2ltbcXlCmJZEQ4cOME991xXlNBoNpunpeUEAC5X6dB8E2X79u1EIhHy+dRQoG7Jkgo2bbqRsrJLt+W5XA7Wrl3AihUz2bnzZQ4f7iGeOEKgZBmRSIQdO3awZcuWCbgSkakpHA4P/Xvu0KFDxGKxofcCgQBLly6ltraWurq6ovy7663t5x53ISRnWf1ks/3k80lyuTRgAwZOpweHw4fLVYpplgKF77l1dXVs3rxZoVkRuaa9NaDW3d1dtLFffvllzpw5M/T1zJkzue2228a0ttWrV/PSSy8BhX+v/fKXv+SjH/1o0dYoIiIynYw1VKemOhERERERERERkfMpVCciIiITrrq6mo0bNwKFB2RSqRSWZdHa2srf/M3fgG1z9vgxrFSKHzTt46N3vRvTNfbbFiub5QdN+0hnLEyvl5KycgA2bNhQzMsREZEpKplMDgUB8rnCQyXz5hX3Qfv58wvj5QbGj8VipFIpfD5fUecReat169axa9cuTLOMVMqkvz9NS0sXa9cuuOKxW1q6iEbTGIY5EFiZuBbglpYWmpubAZtk8thQoO7BB2/F7XaOaayyMi8PPngrjz32AocP95BMHqOkZBlNTU3U1dURCoXG5yJEpqiWlhZ2795Ne3v7iMfEYjFaW1tpbW1l165drFy5kvvuu481a9Zc0dwXaj83zTJM89KN5qtWrWLDhg1XvAYRkenANM1hX1uWVbSxjxw5MuzrmpqaMW8msnjx4qFQHcDx48eLsjYREZHpKJFIjOl4NdWJiIiIiIiIiIicT6E6ERERmVSGYeDz+fD5fNxxxx0899xzNDc3UzZrDmffeJ03TnXz+NM/54N17xhTY100keAHTft441Q3hsNB2aw5YBjU1dXpYUoREQEgm82e85UNgMcztlDOpbw5nj30mmVZCtXJuKupqWHlypW0t7fjdleRTnexd28HK1bMHFWb20j6+lI88UQHAG5PFTCxLcC7d+8GIJ0+Qy6XwO832bTpxjEH6ga53U42bbqRRx7ZTzKZIJ05g8ddxZ49exSqExkQjUbZvn37QKAVwMay+shmo+TyyYFgeqElzuH04HT4cLmCmGYZ7e3ttLe3F60l7mLt54MCgQDLli2jtraWdevWqaVcROQcJ0+eHPZ1VVVV0cZ+a/uN6zI2yHpr6C+Xy13RmkRERKYzNdWJiIiIiIiIiIhcOYXqRERE5KrywAMP0NbWRiQSoWLefHq6jvPGqW7+4YmnuDN0CzcsqcHpHPmh6Vwux8HDYf6j5UXSGQvD4aBi3nxcbjeVlZVs3rx5Aq9GRESuZsMf8jQAm3S6uA9tvjnemw0Nb31QVGS8bNiwgfb2djyemWSzvSQSCXbufPmyWt0AMpkcO3e+TDJp4XT68bhnDs0zEcLh8EBDlk0m0w3A+vW1VxQShEJj3b331vL44+1k0t143DNpa2vj6NGjCuPINS8cDtPQ0EAkEqHwffIMmUw3tn2hZiObfC5JPpfEsiKkUiZudxUez0yampo4ePAgjY2N1NTUXPG6Rmo/N00Tr9c75mYkEZFrxS9/+cthXy9cuLBoY8+YMWPY111dXWMe463NdMUM/YmIiEw3CtWJiIiIiIiIiIhcOYXqRERE5KoSDAZpbGykvr6eGDBjwSL6Tp8knUrx433P0/RiK6uW1DB/1kxmVVTgdrnIZLOc7unh+OkztB0OE0+mADC9XspmzcHldhMIBGhsbLziZgQREZk+fD4fgUCAWCyGw+khn0vS1RWlqmr0zaiXcvx4FACn0wMU2nO83isLAImMVigUYt26dTQ3N+PzLSQW7+Tw4R4ee+wFNm26cUxhtL6+FDt3vszhwz1gOPH5FgIT2wI82JJlWX3YtkVpqYdQaF5Rxg6F5vHkk51Eo2ksqx/TLKO5uXkotCNyLQqHw4V/l8Vi5PMpkslj5HIJAIJBD6HQXBYvLmfevCAej5N0OkdXV5QjR3ppaTlBNJomne4im+3F51tIJBKhvr6erVu3FiVYN+jc9nMRERlZb2/vUOvvoDvvvLNo47/17/bXX3+dQ4cOsXTp0lGdH41GaWlpGfbaaM8VERG5FiUSiTEdn0qlxmklIiIiIiIiIiIiU5dCdSIiInLVqampYevWrUONCDPmLyTe10u8t4d4MsXz7a9C+8jnO1wuSsorKCkrB8OgsrKyaI0IIiIyfRiGwdKlS2ltbcXp8JHPJTlypJfVq2cXbY5wuBcAh6PwoP+yZcvUniMT6twW4BL/YuKJIxw+3MMjj+zn3ntrCYXm4XI5Rjw/m83T0tLFE090kExaYDgp8S/G4fBOeAtwR0fHwJoKYdU1a+ZedO1j4XI5CIXm8swzYbLZQqhucD6Ra1E0GqWhoYFYLEYuFyeeOAJ2Dr/fZP36kf/uqKrys3r1bO655zpaWrrYu7eDRCJBLN5JiX8xsRg0NDSwbds2bXgiIjLBtmzZQm9v79DXbreb9773vUUbv7a2lgULFvDGG28Mvfboo4/yf/7P/xnV+V/96leHNej4/X5uu+22oq1PRERkulFTnYiIiIiIiIiIyJUrzpNHIiIiIkVWU1PDtm3bqKurA8OgpLyCqurFlM+Zh6+0DJfHg+EwwADDYeDyePCVllE+Zx5V1YspKa8Ao9Cesm3bNgXqRETkgmprawFwuQoP9h84cIJsNl+UsQthpBMD45cOm09kogy2AAcCAZzOEgIly3A6/SSTFo8/3k5DQzNPPPFbfv3rU3R3J+jvT9PdneDXvz7FE0/8loaGZh5/vJ1k0sLp9A+cXzLhLcC2bXPo0CEAcvnCQ2OLF5cXdY6amsJ4+YHxOzs7sW27qHOITBXbt28nEomQz6eGAnVLllRQX387a9cuuGSg1eVysHbtAurrb2fJkgqwc8QTR8jnU0QiEXbs2DFBVyIiMv389V//NS+88MKoj89ms3z2s5/l//7f/zvs9QceeIC5c+de9FzDMIb93y9+8YuLHn///fcP+3rHjh18+9vfvuQaf/SjH/Hwww8Pe+0jH/kIHo/nkueKiIhcq8YaqlNTnYiIiIiIiIiIyPnUVCciIiJXrWAwyJYtW6irq2PPnj20tbXhDQTwBgKXPHfVqlVs2LCBNWvWTMBKRURkqlq3bh27du3CNMtIpUz6+9O0tHSxdu2CKx67paWLaDSNYZiYZunQfCIT7a0twCUly0hnzpBJdxONpnnmmfBFzzcME7enCo97JjA5LcDJZJJYLAZAPlfYWX3evOIG+ubPL4yXGxg/FouRSqXw+XxFnUfkatfS0kJzczNgk0weGwrUPfjgrbjdzjGNVVbm5cEHb+Wxx17g8OEeksljlJQso6mpibq6OkKh0PhchIjINPbTn/6U+vp6br/9dj784Q9z55138ra3vQ2Xa/iP/Pr6+vjxj3/M3/zN3/DrX/962HtLly7lL/7iL4q+ts997nP8wz/8A5FIBChsjPCHf/iH/PznP2fLli2sXLly2PGdnZ38/d//PY899hj5/Jubm/j9/nFZn4iIyHSSSCTGdLya6kRERERERERERM6nUJ2IiIhc9UKhEKFQiKNHj9Lc3ExHRwednZ1DD1YDBAIBli1bRm1tLevWraO6unoSVywiIlNFTU0NK1eupL29Hbe7inS6i717O1ixYiZlZd7LHrevL8UTT3QA4PZUAQarVq3S9yeZNIMtwDt27KCpqQmPuxCSs6x+stl+8vnkQJjMBgycTg8Ohw+Xq3QgFGoAUFdXx+bNmyesoW5QNps956tCe5zHM7Zwz6W8Od6b7XSWZSlUJ9ec3bt3A5BOnyGXS+D3m2zadOOYA3WD3G4nmzbdyCOP7CeZTJDOnMHjrmLPnj0K1YmIXIH9+/ezf/9+ADweDwsWLKCsrAyn08nZs2cJh8PDgmqD5syZw09+8hNmzJhR9DVVVFTwgx/8gLvvvnvYg/vf+ta3+Na3vsWsWbNYsGABhmHQ1dXFiRMnzhvD4XDwve99T/92EhERuQQ11YmIiIiIiIiIiFw5hepERERkyqiurmbjxo1AYafrVCqFZVmYponX68UwjEleoYiITEUbNmygvb0dj2cm2WwviUSCnTtfvqxGHoBMJsfOnS+TTFo4nf6Bdq/CPCKT6UItwKZZhmmWXfLcyW4BHt68YgA26XSuqHO8Od6b95SmaRZ1DpGrXTgcpr29HbDJZLoBWL++9oqC5lBorLv33loef7ydTLobj3smbW1tHD16VKEJEZEiSKfTHDp06JLHve9972Pnzp3MmjVr3Naybt06/v3f/53777+fo0ePDnvv9OnTnD59esRzZ8+ezTe/+U3e9773jdv6REREpouxhurUVCciIiIiIiIiInI+x2QvQERERORyGIaBz+ejtLQUn8+nQJ2IiFy2UCjEunXrAAOfbyEYTg4f7uGxx16gr29sOzj39aV47LEXOHy4BwxnYTwM6urqJi2MJPJWoVCIrVu3sm3bNj784Q9z0003EQgEhh0TCAS46aab+PCHP8y2bdvYunXrpP4e9vl8Q2t0OD0AdHVFizrH8eOF8ZwD4wcCAbzeKwsSiUw1zc3NAFhWH7ZtUVrqIRSaV5SxQ6F5BIMebNvCsvqHzSciIqP3hS98gQceeICVK1fidF56E5BAIMCHPvQhmpqaeOqpp8Y1UDfone98JwcPHuRrX/sab3vb2y55fE1NDQ8//DDt7e0K1ImIiIxSIpEY0/EK1YmIiIiIiIiIiJxPTXUiIiIiIiJyzXvggQdoa2sjEolQ4l9MPHGEw4d7eOSR/dx7by2h0DxcrpH3pclm87S0dPHEEx0kkxYYTkr8i3E4vFRWVrJ58+YJvBqR0ZlKLcCGYbB06VJaW1txOnzkc0mOHOll9erZRZsjHO4FwOHwAbBs2bKr6r+ByETo6OgAIJsthEzXrJl70e9/Y+FyOQiF5vLMM2Gy2X5Ms2xoPhERGb277rqLu+66Cyg8TP+b3/yGcDjMiRMniMVi5PN5ysvLqaioYMWKFdxwww2jCt9diG3bl73OYDDIpz/9aT796U9z8uRJWlpa6Orqore3F9u2KSsrY/bs2axZs4ZFixZd9jwiIiLXqrE21aVSY9s8TERERERERERE5FqgUJ2IiIiIiIhc84LBII2NjdTX1xOLQaBkGcnkMZLJBI8/3s6TT3YSCs2lpqac+fODeDxO0ukcx49HCYd7aWk5QTRa2O3Z6fTj8y3E4fASCARobGwkGAxO8hWKXNxgC7DP55vspYyotraW1tZWXK4glhXhwIET3HPPdUUJ/BSCsScAcLlKh+YTuZbYts2hQ4cAyOULD2cuXlxe1Dlqagrj5QfG7+zsxLZtBVhFRC6T3+9nzZo1V30r9pw5c/gv/+W/TPYyREREppWxhurUVCciIiIiIiIiInI+hepEREREREREgJqaGrZu3UpDQ0Ohsa5kGenMGTLpbqLRNM88E77o+YZh4vZU4XHPBAwqKytpbGykpqZmIpYvMu2tW7eOXbt2YZplpFIm/f1pWlq6WLt2wRWP3dLSRTSaxjBMTLN0aD6Ra0kymSQWiwGQzxUetpw3r7ih8PnzC+PlBsaPxWKkUqmrOtArIiIiIiJyNUokEmM6Xk11IiIiIiIiIiIi57vyrbxFREREREREpomamhq2bdtGXV0dYOBxVxEMLsfnq8E0K3E6fRT+KW0ADpxOH6ZZic9XQzC4HI+7CjCoq6tj27ZtCtSJFFFNTQ0rV64EDNzuKgD27u2gr+/KHgrr60vxxBMdALg9hT/Dq1atorq6+gpXLDK1ZLPZc76yAfB4nEWd483x7KHXLMsq6hwiIiIiIiLXAjXViYiIiIiIiIiIXDk11YmIiIiIiIicIxgMsmXLFurq6tizZw9tbW2YZhmmWXbJc1etWsWGDRtYs2bNBKxU5NqzYcMG2tvb8Xhmks32kkgk2LnzZR588Fbc7rGHfzKZHDt3vkwyaeF0+geaJgvziFxrXK5zPyo2AJt0OlfUOd4czxh6zTTNos4hIiIiIiJyLVCoTkRERERERERE5MopVCdyFbFtm2QySTabxeVy4fP5MAzj0ieKiIiIiEjRhUIhQqEQR48epbm5mY6ODjo7O4nFYkPHBAIBli1bRm1tLevWrVOzlcg4C4VCrFu3jubmZny+hcTinRw+3MNjj73Apk03UlbmHfVYfX0pdu58mcOHe8Bw4vMtZLBpUsFYuRb5fD4CgQCxWAyH00M+l6SrK0pVlb9ocxw/HgXA6fQAhe+jXu/o/9yKiIiIiIhIQSKRGNPxqVRqnFYiIiIiIiIiIiIydSlUJzLJwuHw0AO6hw4dOu8B3aVLl1JbW0tdXZ0e0BURERERmQTV1dVs3LgRKGyEkUqlsCwL0zTxer3aCENkgj3wwAO0tbURiUQo8S8mnjjC4cM9PPLIfu69t5ZQaB4ul2PE87PZPC0tXTzxRAfJpAWGkxL/YhwOL5WVlWzevHkCr0bk6mEYBkuXLqW1tRWnw0c+l+TIkV5Wr55dtDnC4V4AHA4fAMuWLdP3URERERERkcswUlOdy+Uim82e97qa6kRERERERERERM6nUJ3IJGlpaWH37t20t7ePeEwsFqO1tZXW1lZ27drFypUrue+++7RjvoiIiIjIJDEMA5/Ph8/nm+yliFyzgsEgjY2N1NfXE4tBoGQZyeQxkskEjz/ezpNPdhIKzaWmppz584N4PE7S6RzHj0cJh3tpaTlBNFp4kMzp9OPzLcTh8BIIBGhsbCQYDE7yFYpMntraWlpbW3G5glhWhAMHTnDPPdddNKg6WoVA6wkAXK7SoflERERERERk7EYK1ZWXl3PmzJnzXldTnYiIiIiIiIiIyPkUqhOZYNFolO3bt9Pc3AyAbUM6YZFJZslm8mStHLYNhgEu04nL7cDtc+Hxm7S3t9Pe3k5dXR2bN2/Wg34iIiIiIiJyTaqpqWHr1q00NDQUGutKlpHOnCGT7iYaTfPMM+GLnm8YJm5PFR73TMCgsrKSxsZGampqJmL5IletdevWsWvXLkyzjFTKpL8/TUtLF2vXLrjisVtauohG0xiGiWmWDs0nIiIiIiIiY5dIJC74ekVFxQVDdWqqExEREREREREROd+VbzEsIqMWDod56KGHCoE6G+J9ac6+EaWvO0kyZmFlCoE6KITtrEyOZMyirzvJ2TeixPvSYENTUxMPPfQQ4XB4Uq9HREREREREZLLU1NSwbds26urqAAOPu4pgcDk+Xw2mWYnT6aPw0ZcBOHA6fZhmJT5fDcHgcjzuKsCgrq6Obdu2KVAnQuHP1cqVKwEDt7sKgL17O+jru7JGg76+FE880QGA21P4s7dq1Sqqq6uvcMUiIiIiIiLXppGa6ioqKi74uprqREREREREREREzqemOpEJEg6Hqa+vJxaLkbXy9HcnsTI5AAK+IDfUhlg4ezGzZ8zDbXrIWGlOne3i2KkjHOxoIZaMEutJk45nKa3yEYlEqK+vZ+vWrXrwT0RERERERK5JwWCQLVu2UFdXx549e2hra8M0yzDNskueu2rVKjZs2MCaNWsmYKUiU8eGDRtob2/H45lJNttLIpFg586XefDBW3G7nWMeL5PJsXPnyySTFk6nf6AhsjCPiIiIiIiIXJ6xhurUVCciIiIiIiIiInI+hepEJkA0GqWhoYFYLIaVztF7KkE+b+Pz+LnrtvXcWBvC6Tz/j2NlWRXLl6zmzt+5h5c7Wnj6ub0k0wl6TsQpn+0nRoyGhga2bdtGMBichCsTERERERERmXyhUIhQKMTRo0dpbm6mo6ODzs5OYrHY0DGBQIBly5ZRW1vLunXr1JAlMoJQKMS6detobm7G51tILN7J4cM9PPbYC2zadCNlZd5Rj9XXl2Lnzpc5fLgHDCc+30IGGyIVaBUREREREbk8lmWRzWYv+J5CdSIiIiIiIiIiIqOnUJ3IBNi+fTuRSISslR8K1C2as4T77tpEsOTSu+c7nS5uXr6WZYtW8K9P7+T1k4fpPZWgYm4JkUiEHTt2sGXLlgm4EhEREREREZGrV3V1NRs3bgTAtm1SqRSWZWGaJl6vF8MwJnmFIlPDAw88QFtbG5FIhBL/YuKJIxw+3MMjj+zn3ntrCYXm4XI5Rjw/m83T0tLFE090kExaYDgp8S/G4fBSWVnJ5s2bJ/BqREREREREppeRWupg5FBdKpUar+WIiIiIiIiIiIhMWQrViYyzlpYWmpubsW3o704OBeruf/+DmKZ7TGMFS8q4//0P8t2nHuP1k4fp705SObeEpqYm6urqCIVC43QVIiIiIiIiIlOLYRj4fD58Pt9kL0VkygkGgzQ2NlJfX08sBoGSZSSTx0gmEzz+eDtPPtlJKDSXmppy5s8P4vE4SadzHD8eJRzupaXlBNFooQXB6fTj8y3E4fASCARobGwkGAxO8hWKiIiIiIhMXRcL1ZWXl1/wdTXViYiIiIiIiIiInE+hOpFxtnv3bgAS/WmsTA6fx899d20ac6BukGm6ue+uTTz2/UdIZZIk+jP4y9zs2bNHoToRERERERERESmKmpoatm7dSkNDQ6GxrmQZ6cwZMuluotE0zzwTvuj5hmHi9lThcc8EDCorK2lsbKSmpmYili8iIiIiIjJtJRKJEd9TU52IiIiIiIiIiMjoOSZ7ASLTWTgcpr29HduGZH8GgLtuW0+wpOyKxg2WlHH32nuBQljPtqGtrY2jR49e6ZJFRERERERERESAQrBu27Zt1NXVAQYedxXB4HJ8vhpMsxKn00fhI2YDcOB0+jDNSny+GoLB5XjcVYBBXV0d27ZtU6BORERERESkCC7WVDdSqE5NdSIiIiIiIiIiIudTU53IOGpubgYgnbDI5WwC/lJurC1Om9yNtSGe+dWTxJJR0gkLb4lJc3MzGzduLMr4IiIiIiIiIiIiwWCQLVu2UFdXx549e2hra8M0yzDNS28atWrVKjZs2MCaNWsmYKUiIiIiIiLXhouF6srLyy/4ukJ1IiIiIiIiIiIi51OoTmQcdXR0AJBJZgG44bo1OJ3F+WPndLq4oTbEs63PkElm8ZaYQ/OJiIiIiIiIiIgUUygUIhQKcfToUZqbm+no6KCzs5NYLDZ0TCAQYNmyZdTW1rJu3Tqqq6snccUiIiIiIiLTUyKRGPG9kZrqstksuVwOp9M5XssSERERERERERGZchSqExkntm1z6NAhALKZPAALZy8u6hwLZ9fw7Dnjd3Z2Yts2hmEUdR4RERERERERERGA6upqNm7cCBQ+/0qlUliWhWmaeL1efS4lIiIiIiIyzkZqqnM6nQQCgRHPS6fT+P3+8VqWiIiIiIiIiIjIlOOY7AWITFfJZHJop+6slQNg9ox5RZ1j9oz5w8aPxWKkUqmiziEiIiIiIiIiInIhhmHg8/koLS3F5/MpUCciIiIiIjIBRgrV+Xw+vF7viOfpWQIREREREREREZHhFKoTGSfZbHbo17Zd+P9u01PUOQbHGxwfwLKsos4hIiIiIiIiIiIiIiIiIiIiV4dEInHB1/1+Px7PyM8kpNPp8VqSiIiIiIiIiIjIlKRQncg4cblcQ78e3KQ7YxX3Q+rB8c7dBNw0zaLOISIiIiIiIiIiIiIiIiIiIlcHNdWJiIiIiIiIiIgUh0J1IuPE5/MRCAQAcJlOAE6d7SrqHKfOHh82fiAQuOiH5CIiIiIiIiIiIiIiIiIiIjJ1XSxUp6Y6ERERERERERGR0VOoTmScGIbB0qVLAXC5C3/Ujp06UtQ5jp0KDxt/2bJlGOfW1omIiIiIiIiIiIiIiIiIiMi0kUgkLvi63+9XqE5ERERERERERGQMFKoTGUe1tbUAuH0uAA6+doBcLluUsXO5LAc7WoaNPzifiIiIiIiIiIiIiIiIiIiITD8Xa6rzer0jnpdKpcZrSSIiIiIiIiIiIlOSQnUi42jdunUAePwmTqdBLNHPywNBuCv1ckcLsWQUp9PA4zeHzSciIiIiIiIiIiIiIiIiIiLTz8VCdWqqExERERERERERGT2F6kTGUU1NDStXrsQwwFfqBuDp5/YSjfdd0bjReB8/e/YJAPylHgwDVq1aRXV19ZUuWUREpGhs2yaRSNDf308ikcC27clekoiIiIiIiIiIiIiIyJSWSCQu+Lrf78fpdOJyuS74vprqREREREREREREhrvwJ2kiUjQbNmygvb2dklIP6XiWZDrBvz69k/vf/yCm6R7zeJaV4V+f3kkqk8R0O/EPhPU2bNhQ7KWLiIiMWTgcprm5mY6ODg4dOkQsFht6LxAIsHTpUmpra6mrq1MYXEREREREREREREREZIwu1lQH4PF4yGaz572vpjoRERERERERuVZkMhn27t3LT3/6Uw4cOEBHRwfpdBqPx0NtbS1r1qzh937v91i/fj1u99gzHTJ9KFQnMs5CoRDr1q2jubmZ0iofPSfivH7yMN996jHuu2sTwZKyUY8Vjffxr0/v5PWTh3E4DEqrfGBAXV0da9asGcerEBERubiWlhZ2795Ne3v7iMfEYjFaW1tpbW1l165drFy5kvvuu0/fw0REREREREREREREREbpUqE6r9dLPB4/732F6kRERERERERkurMsi6997Wt89atf5dSpU+e9n0qlePnll3n55Zf55je/yezZs/nTP/1TPvOZz2Ca5iSsWCabQnUiE+CBBx6gra2NSCRC+Ww/vacSvH7yMI99/xHuXnsvN9aGcDpH/uOYy2V5uaOFnz37BKlMEofDoHy2H5fpoLKyks2bN0/g1YiIiLwpGo2yfft2mpubAbBtm3Q8RjqRwEqnyFkZbNvGMAycphvT48Xj9+MpCdDe3k57ezt1dXVs3ryZYDA4yVcjIiIiIiIiIiIiIiJydUskEhd83e/3A4WmugtJpVLjtiYRERERERERkcn2m9/8ho0bN/Liiy+O+pxTp07xP//n/+T73/8+3/nOd1ixYsU4rlCuRgrViUyAYDBIY2Mj9fX1xIhRMbeE/u4kqUySHzY9zjO/epIbakMsnF3D7BnzcZseMlaaU2ePc+xUmIMdLcSSUQBMt5PSKh8u00EgEKCxsVEhBBERmRThcJiGhgYikQjYNvHeXuJ9PeSz2fOOtW2bbDpNNp0m2d+Hw+WipKyCkvJympqaOHjwII2NjdTU1Ez8hYiIiIiIiIiIiIiIiEwRl2qqGylUp6Y6EREREREREZmu9u/fz3vf+176+/sv6/wXX3yRtWvX8pOf/ITbb7+9yKuTq5lCdSITpKamhq1btw6FDyrnlpDoz5DoTxNLRnm29Rmevcj5TqeBv9SDv9QNBlRWVip8ICIikyYcDhfC4rEY2UyGvtMnsQZ2OC3xeVm1pIYFs6qoqijH7XKRyWbp7unljdPdtB0OE0+miJ7tJhWPUjZrDpFIhPr6erZu3arvbSIiIiIiIiIiIiIiIiO4VKjO6/Ve8H011YmIiIiIiIjIdPSb3/zmigJ1g/r7+3nve9/Ls88+q8a6a4hCdSITqKamhm3btrFjxw6amprwl7nxlbpJJywyySzZTJ6slcO2wTDAZTpxuR24fS48fhPDKIxTV1fH5s2b1VAnIiKTIhqN0tDQQCwWI5NK0tN1HDufx+tx8541N3PDkhqcTud551WWBrm+eiHvumU1Bw+HeebAS6RSKc6+8ToV8+YTAxoaGti2bZu+x4mIiIiIiIiIiIiIiFxAIpG44Ot+vx9QU52IiIiIiIiIXDssy+L++++/4kDdoP7+fjZu3Mhzzz2HaZpFGVOubgrViUywYDDIli1bqKurY8+ePbS1teEtMfGWXPov3VWrVrFhwwbWrFkzASsVERG5sO3btxOJRMhmMkOBugWzq/hg3TsIDvzA9mKcTic3XbeUpfPn8oOmfbxxqpueruPMWLCISCTCjh072LJlywRciYiIiIiIiIiIiIiIyNRyuU11CtWJiIiIiIiIyHTzta99jZdeeqmoY7744ot87Wtf43Of+1xRx5Wrk0J1IpMkFAoRCoU4evQozc3NdHR00NnZSSwWGzomEAiwbNkyamtrWbduHdXV1ZO4YhEREWhpaaG5uRnbtuk7fXIoUPfRu96N6RrbrWXQ7+ejd72bx5/+OW+c6qbv9ElmzF9IU1MTdXV1hEKhcboKERERERERERERERGRqelSobqRmupSqdS4rUlEREREREREZKJlMhm++tWvjsvYX/va1/j0pz+N2+0el/Hl6qFQncgkq66uZuPGjQDYtk0qlcKyLEzTxOv1YhjGJK9QRETkTbt37wYg0duLlUrh9bj5YN07xhyoG2S6XHyw7h38wxNPkU6liPf1UlJewZ49exSqExEREREREREREREReYtEInHB1/1+PzByqE5NdSIiIiIiIiIynezdu5dTp06Ny9gnT55k7969fOhDHxqX8eXq4ZjsBYjImwzDwOfzUVpais/nU6BORESuKuFwmPb2dmzbJt7XA8B71txMcOCHtJcr6PdzZ+gWAOK9Pdi2TVtbG0ePHr3iNYuIiIiIiIiIiIiIiEwnl2qq83q9F3xfTXUiIiIiIiIiMp389Kc/ndLjy9VBoToRERERGZXm5mYA0vEY+WyWEp+XG5bUFGXsG5bUUOLzks9mScfjw+YTERERERERERERERGRgkuF6tRUJyIiIiIiIiLXggMHDozr+C+88MK4ji9XB4XqRERERGRUOjo6AEgnEgCsWlKD0+ksythOp5NVAwG9dCI+bD4RERERERERERERERGBfD4/YuOc3+8H1FQnIiIiIiIiIteG8X7GVM+wXhsUqhMRERGRS7Jtm0OHDgFgpQs/dF0wq6qoc8yfNXPY+J2dndi2XdQ5REREREREREREREREpqqLBePUVCciIiIiIiIi15Lx/qxDGxRdGxSqExEREZFLSiaTxGIxAHJWBoCqivKizjGromLY+LFYTP8oERERERERERERERERGZBMJkd8bzBUN1JTnUJ1IiIiIiIiIjKdjLSxULGM9BmLTC8K1YmIiIjIJWWz2aFfD7bHuV2uos4xON657XSWZRV1DhERERERERERERERkakqkUiM+J7f7wdGfqBMGxmKiIiIiIiIyHRSW1s7pceXq4NCdSIiIiJySa5zAnSGYQCQOSdoVwyD4w2OD2CaZlHnEBERERERERERERERmapG01Q3UqhOTXUiIiIiIiIiMp2sWbNmXMe/9dZbx3V8uTooVCciIiIil+Tz+QgEAgA4TTcA3T29RZ3jdE/PsPEDgYDqs0VERERERERERERERAaMJlQ30s9W1FQnIiIiIiIiItPJ7/3e703p8eXqoFCdiIiIiFySYRgsXboUANNT+GHsG6e7izrH8dNnho2/bNmyYa11IiIiIiIiIiIiIiIi17JEIjHie36/H1BTnYiIiIiIiIhcG9avX8/s2bPHZew5c+awfv36cRlbri4K1YmIiIjIqNTW1gLgGfihbNvhMLlcrihj53I52g6HB8YvGTafiIiIiIiIiIiIiIiIXLypbrChbqSmOoXqRERERERERGQ6cbvd/Omf/um4jP2Zz3wGt9s9LmPL1UWhOhEREREZlXXr1gHgKQngcLmIJ1McHAjCXamDh8PEkykcLheekpJh84mIiIiIiIiIiIiIiMjIoTqv14thGMDITXWpVGrc1iUiIiIiIiIiMhk+85nPcMsttxR1zFtuuYXPfOYzRR1Trl4K1YmIiIjIqNTU1LBy5UoMw6CkrAKAZw68RDSRuKJxo4kE/9HyIgAl5RUYhsGqVauorq6+4jWLiIiIiIiIiIiIiIhMF4kRfibj9/uHfj1SqE5NdSIiIiIiIiIy3ZimyXe+8x1KS0uLMl5ZWRnf+c53ME2zKOPJ1U+hOhEREREZtQ0bNgBQUl6O6fWSSmf4QdM+rGz2ssazsll+0LSPdMbC9HopKSsfNo+IiIiIiIiIiIiIiIgUjNRU5/P5hn7t9XoveIya6kRERERERERkOlqxYgU/+clPrjhYV1ZWxo9//GNWrFhRpJXJVKBQnYiIiIiMWigUYt26dWAYlM2ag+Fw8Mapbh5/+udjbqyLJhI8/vTPeeNUN4bDQdmsOWAY1NXVsWbNmnG6AhERERERERERERERkalpNKE6NdWJiIiIiIiIyLXm9ttv59lnn+WWW265rPNvueUW9u/fz+23317klcnVTqE6EZlwtm2TSCTo7+8nkUhg2/ZkL0lERMbggQceoLKyEpfbTcW8+UPBun944il+/dohcrncRc/P5XL8+rVD/MMTTw0F6irmzcfldlNZWcnmzZsn6EpkOtP9hoiIiIiIiIiIiIhMN4kRNjj0+/1Dv1ZTnYiIiIiIiIhci1asWMFzzz3Hl7/8ZWbPnj2qc+bMmcOXv/xlnnvuOTXUXaNck70AEbk2hMNhmpub6ejo4NChQ8RisaH3AoEAS5cupba2lrq6OqqrqydxpSIicinBYJDGxkbq6+uJATMWLKLv9EnSqRQ/3vc8TS+2smpJDfNnzWRWRQVul4tMNsvpnh6Onz5D2+Ew8WThB7em10vZrDm43G4CgQCNjY0Eg8HJvUCZsnS/ISIiIiIiIiIiIiLT2ZU21dm2jWEY47I2EREREREREZHJZpomn/vc5/j0pz/Npk2b+N73vnfB4xYsWMBXv/pV1q9fj9vtnuBVytVEoToRGVctLS3s3r2b9vb2EY+JxWK0trbS2trKrl27WLlyJffddx9r1qyZwJWKiMhY1NTUsHXrVhoaGohEIsyYv5B4Xy/x3h7iyRTPt78KI//Vj8PloqS8gpKycjAMKisraWxspKamZqIuQaYR3W+IiIiIiIiIiIiIyLVgNKG6kZrqACzL0oNiIiIiIiIiIjLtud1urr/++hHfX7p0KR/60IcmcEVytVKoTkTGRTQaZfv27TQ3NwNg25BOWGSSWbKZPFkrh22DYYDLdOJyO3D7XHj8Ju3t7bS3t1NXV8fmzZvVWCQicpWqqalh27Zt7Nixg6amJkrKK/CXlZOOx0kn4ljpFDkrM7TrqdN0Y3q8ePwleEpKhnZC1d/3crnOv9+wScdjpBOJi/z+8+MpCeh+Q0RERERERERERESmnEQiccHX/X7/0K9HaqoDSKVSCtWJiIiIiIiIyDUhlUqN+F4sFpvAlcjVTKE6ESm6cDg81FyEDfH+NMn+DLmcfd6xtg1WJoeVyZGMWTidKXylbkpKPTQ1NXHw4EE1F4mIXMWCwSBbtmyhrq6OPXv20NbWhjcQwBsIXPLcVatWsWHDBjWFyWUZfr9hE+/tJd7XQz6bPe9Y27bJptNk02mS/X2FpsSyCkrKy3W/ISIi1xzbtkkmk2SzWVwuFz6fb2izAxERERERERG5uo2mqe5iobp0Ol30NYmIiIiIiIiIXI0u9jmIQnUySKE6ESmqcDhMfX09sViMrJWnvzuJlckBEPAFuaE2xMLZi5k9Yx5u00PGSnPqbBfHTh3hYEcLsWSUWE+adDxLaZWPSCRCfX09W7du1YPuIiJXsVAoRCgU4ujRozQ3N9PR0UFnZ+ewf3gEAgGWLVtGbW0t69ato7q6ehJXLFPZsPuNTIa+0yexBnaVKfF5WbWkhgWzqqiqKMftcpHJZunu6eWN0920HQ4TT6aInu0mFY9SNmuO7jdERGTaC4fDQ/dohw4dOu8ebenSpdTW1lJXV6d7NBEREREREZGr2GhCdV6vd8TzL7ZDu4iIiIiIiIjIdKJQnYyGQnUiUjTRaJSGhgZisRhWOkfvqQT5vI3P4+eu29ZzY20Ip/P8v3Yqy6pYvmQ1d/7OPbzc0cLTz+0lmU7QcyJO+Ww/MWI0NDSwbds2gsHgJFyZiIiMVnV1NRs3bgQKLSipVArLsjBNE6/XqxYUuWLn3m9kUkl6uo5j5/N4PW7es+ZmblhSg9PpPO+8ytIg11cv5F23rObg4TDPHHiJVCrF2Tdep2LefGKg+w0REZl2Wlpa2L17N+3t7SMeE4vFaG1tpbW1lV27drFy5Uruu+8+tQmLiIiIiIiIXIUSicQFX/f7/UO/VlOdiIiIiIiIiMjFNxdSqE4GKVQnIkWzfft2IpEIWSs/FKhbNGcJ9921iWBJ2SXPdzpd3Lx8LcsWreBfn97J6ycP03sqQcXcEiKRCDt27GDLli0TcCUiIlIMhmHg8/mG7Y4qcqWG7jcymaFA3YLZVXyw7h0Ez3loYCROp5ObrlvK0vlz+UHTPt441U1P13FmLFik+w0REZk2otEo27dvp7m5eeAVG8vqI5uNkssnyefSgA0YOJwenA4fLlcQ0yyjvb2d9vZ26urq2Lx5s8LmIiIiIiIiIleRK22qU6hORERERERERK4Vl2qqs21bRRGCY7IXICLTQ0tLC83Nzdg29HcnhwJ197//wVEF6s4VLCnj/vc/yKI5S8jnbfq7k2BDU1MTLS0t43QFIiIicrV7837Dpu/0yaFA3UfveveoAnXnCvr9fPSud7NgdhV2Pk/f6ZNg27rfEBGRKS8cDvPQQw8NBOps0uluotFXSCaPYlkR8rkkkKcQqsuTzyWxrAjJ5FGi0VdIp7uBwvfEhx56iHA4PJmXIyIiIiIiIiLnGE2o7mJNdRfboV1EREREREREZDq52OcguVxOmw8JoFCdiBTJ7t27AUj0p7EyOXweP/fdtQnTdF/WeKbp5r67NuF1+7AyORL9GQD27NlTtDWLiIjI1DJ0v9Hbi5VK4fW4+WDdOzBdl1fAbbpcfLDuHXjcJlYqRbyvF9D9hoiITF3hcJj6+noikQj5fIp4vJN0ugvbtggGPbznPTX80R/dxBe/eAcPP/wuvvjFO/ijP7qJ97ynhmDQg21bpNNdxOOd5PMpIpEI9fX1CtbJpLJtm0QiQX9/P4lEAtu2J3tJIiIiIiIikyaRSFzwdf85G89dLFSnh8VERERERERE5Fpxqc9BYrHYBK1ErmaX9/SpiMg5wuEw7e3t2DYkB8Jvd922fswNdW8VLCnj7rX38sOmx0n0p/GVumlra+Po0aNUV1cXY+kiIiIyRbx5v2ET7+sB4D1rbh5zQ91bBf1+7gzdwo/3PU+8twd/WbnuN0REZEqKRqM0NDQQi8XI5eLEE0fAzuH3m6xfX0soNA+X6/z9taqq/KxePZt77rmOlpYu9u7tIJFIEIt3UuJfTCwGDQ0NbNu2jWAwOAlXJteicDhMc3MzHR0dHDp0aNgPMwKBAEuXLqW2tpa6ujrds4mIiIiIyDVlNE11bvfIG9+qqU5ERERERERErhWX+hwkHo8zc+bMCVqNXK3UVCciV6y5uRmAdMIil7MJ+Eu5sTZUlLFvrA0R8AXJ5WzSCWvYfCIiInLtGLrfiMfIZ7OU+LzcsKSmKGPfsKSGEp+XfDZLOh4fNp+IiMhUsX379jcb6gYCdUuWVFBffztr1y64YKDuXC6Xg7VrF1BffztLllSAnSOeODLUWLdjx44JuhK5lrW0tPD5z3+eT33qU+zatYvW1tbzdgeMxWK0traya9cuHnroIT7/+c9z4MCBSVqxiIiIiIjIxBopVHduU51hGCO21ampTkRERERERESuFWqqk9FQqE5ErlhHRwcAmWQWgBuuW4PTWZwiTKfTxQ0DAb3B8QfnExERkWvH4Pf/dCIBwKolNTidzqKM7XQ6WTUQ0Esn4sPmExERmQpaWloGAuE2yeSxoUDdgw/eSlmZd0xjlZV5efDBW4eCdcnkMcCmqamJlpaWcVm/SDQa5Stf+Qp/9Vd/RXt7O2BjWb0kk8eIxTvo7z9If//L9PcfJBbvIJk8hmX1Ajbt7e00Njby6KOPEo1GJ/lKRERERERExldi4DPytzq3qQ7A673w5wFqqhMRERERERGRa8WlPgdRqE5AoToRuUK2bXPo0CEAspk8AAtnLy7qHAtn1wwbv7OzE9u2izqHiIiIXL3Ovd+w0oV/6C6YVVXUOebPmjlsfN1viIjIVLJ7924A0ukz5HIJ/H6TTZtuxO2+vAC62+1k06Yb8flMcrkE6cwZAPbs2VO0NYsMCofDPPTQQ0PB0HS6m2j0FZLJo1hWhHwuCeQBG8iTzyWxrAjJ5FGi0VdIp7sZDH4+9NBDhMPhybwcERERERGRcTVSU91bQ3VqqhMRERERERGRa52a6mQ0ilMlJSLXrGQyOfQNJWvlAJg9Y15R55g9Y/6w8WOxGKlU6rwfDMj0Zts2yWSSbDaLy+XC5/NhGMZkL0tERCbAufcbOSsDQFVFeVHnmFVRMWx83W+IiMhUEQ6Hh5q9MpluANavrx1zQ91blZV5uffeWh5/vJ1MuhuPeyZtbW0cPXqU6urqIqxcpPD7t76+nlgsRj6fIpk8Ri5XaF0IBj2EQnNZvLicefOCeDxO0ukcXV1RjhzppaXlBNFomnS6i2y2F59vIZFIhPr6erZu3UpNTc3kXpyIiIiIiMg4GClU5/f7h32tUJ2IiIiIiIiIXOvUVCejoVCdiFyRbDY79OvBMhe3eeEP6C/X4HjnlsVYlqWH3K8B4XCY5uZmOjo6OHTo0LCbl0AgwNKlS6mtraWurk4PdYqITGPD7zcKNwRuV3H/KTM43rntdLrfEBGRqaDQ7gWW1YdtW5SWegiFirPZTSg0jyef7CQaTWNZ/ZhmGc3NzWzcuLEo48u1LRqN0tDQQCwWI5eLE08cATuH32+yfn0todA8XC7HeedVVflZvXo299xzHS0tXezd20EikSAW76TEv5hYDBoaGti2bRvBYHASrkxERERERGR82LZNIpG44Htv/Szb673wZjuXephMRERERERERGS6UFOdjIZCdSJyRVznPNBuGIXgW8Yq7u52g+OdW0pmmmZR55CrS0tLC7t37x5oW7iwWCxGa2srra2t7Nq1i5UrV3LfffexZs2aCVypiIhMhOH3Gwa2bZM5J2hXDIPjnduCqvsNERGZCjo6OgDIZqMArFkz94JBpMvhcjkIhebyzDNhstlCqG5wPpErtX37diKRCPl8aihQt2RJBZs23TiqpkWXy8HatQtYsWImO3e+zOHDPcQTRwiULCMSibBjxw62bNkyAVciIiIiIiIyMSzLIp/PX/C9t4bq1FQnIiIiIiIiItc6NdXJaChUJyJXxOfzEQgEiMViuEwnVibHqbNdVJZVFW2OU2ePA+AynUChoWxwZz3btkkmk2SzWVwuFz6fb9jD8DK1RKNRtm/fPtS0YNuQTlhkklmymTxZK4dtFwKWLtOJy+3A7XPh8Zu0t7fT3t5OXV0dmzdv1m70IiLTyLn3G07TTTadprunl8rS4v1df7qnBwCn6QaG32+IiIhcrWzb5tChQwDk8kkAFi8uL+ocNTWF8fID43d2dmLbtv7tLVekpaVl4N/+NsnksaFA3YMP3orb7RzTWGVlXh588FYee+wFDh/uIZk8RknJMpqamqirqyMUCo3PRYiIiIiIiEywZDI54nt+v3/Y12qqExEREREREZFrnZrqZDQUqhORK2IYBkuXLqW1tRWX24GVyXHs1BGWL1ldtDmOnQoD4HIXdtqfOXMm3/nOd+jo6ODQoUPDvqEFAgGWLl1KbW0tdXV1VFdXF20dMr7C4TANDQ1EIhGwId6fJtmfIZezzzvWtsHK5LAyOZIxC6czha/UTUmph6amJg4ePEhjYyM1NTUTfyEiIlJ0595vmB4v2XSaN053c331wqLNcfz0GQBMT+FBg2XLliksICIiV71kMjn0b+J8rvBh8Lx5xd1gZP78wni5gfFjsRipVOq8HfBFxmL37t0ApNNnyOUS+P0mmzbdOOZA3SC328mmTTfyyCP7SSYTpDNn8Lir2LNnj0J1IiIiIiIybSQSiRHfU1OdiIiIiIiIiMhwaqqT0VCoTkSuWG1tLa2trbh9LpIxi4OvHeDO37kHp/PK/4rJ5bIc7GgBIJNL8corYd544w3C4fAFj4/FYrS2ttLa2squXbtYuXIl9913H2vWrLnitcj4CYfD1NfXE4vFyFp5+ruTWJkcAAFfkBtqQyycvZjZM+bhNj1krDSnznZx7NQRDna0EEtGifWkScezlFb5iEQi1NfXs3XrVgXrRESmicH7DY/fT7K/j7bDYd51y2qczst78PpcuVyOtsNhADz+kqH5RERErnbZbPacrwobkng8V/698VxvjvfmhieWZSlUJ5ctHA7T3t4O2GQy3QCsX19LWdmVtQSXlXm5995aHn+8nUy6G497Jm1tbRw9elSbLomIiIiIyLRwsaa6t/47faSmOoXqRERERERERORaYNu2mupkVByTvQARmfrWrVsHgMdv4nQaxBL9vDwQhLtSL3e0EE30k0jEOHy0k2g0SkVFJam4Rf+ZJJGuOKeP9nMq3M/po/1EuuL0n0mSilvYNrS3t9PY2Mijjz5KNBotypqkuKLRKA0NDcRiMax0jp4TcaxMDp/HzwfqPsqn72/k7rX3snzJairLqgj4S6ksq2L5ktXcvfZePn1/Ix+o+yg+jx8rM3B+OkcsFqOhoUH/u4uITBND9xslARwuF/FkioMDQbgrdfBwmHgyhcPlwlNSMmw+ERGRq5nLde5mNoWG1XQ6V9Q53hzvzQZX0zSLOodcW5qbmwGwrD5s26K01EMoNK8oY4dC8wgGPdi2hWX1D5tPRERERERkqrtYqM7v9w/7eqSmukvt0C4iIiIiIiIiMh1ks1ny+fxFj1GoTkChOhEpgpqaGlauXIlhgK/UDcDTz+0lGu+7onGj8T5+8svdRPv76U/2ADZet59kJEdfd5JkzMLK5LAHNsu3bbAyOZIxi77uJGffiBLvS4MNTU1NPPTQQyM23Mnk2b59O5FIhKyVp/dUgnzeZtGcJXziw/XcvHztJRsPnU4XNy9fyyc+XM+iOUvI5216TyXIWnkikQg7duyYoCsREZHx9Ob9hkFJWQUAzxx4iWgicUXjRhMJ/qPlRQBKyiswDINVq1apzURERKYEn89HIBAAwOEsPCzX1VXcjUWOHy+M5xwYPxAIjLjbvchodHR0AJDNFn5vrVkzF5erOB9Tu1wOQqG5A+P3D5tPRERERERkqktc5PPwtzbVjRSqU1OdiIiIiIiIiFwLRvMZiEJ1AgrViUiRbNiwAYCSUg+m20kyneBfn96JZWUuazzLyvD4T/6RM5FurHyGVDaOlcoR8FSQy9kEfEHWrn4PH777j/jUR7/IZ//gYT710S/y4bv/iLWr30PAFySXs4n1pImciA8FrOrr6xWsu4q0tLTQ3NyMbUN/d3IoUHf/+x8kWFI2prGCJWXc//4Hh4J1/d3JoUBlS0txmhNFRGRyDd1vlJdjer2k0hl+0LQPK5u9rPGsbJYfNO0jnbEwvV5KysqHzSMiInK1MwyDpUuXAuB0FB6eO3Kkt6hzhMOF8RwD4y9btgzDMC5yhsjIbNvm0KFDAOTyhYaFxYvLizpHTU1hvPzA+J2dndiDOzKJiIiIiIhMYRdrqntrqG6kDXHUVCciIiIiIiIi14LRfAaiUJ2AQnUiUiShUIh169aBAaVVPhwOg9dPHua7Tz025sa6aLyPb/9oG789dJB8Pkc804uVylLiL2Vm+Ww+UPdRPn1/I3evvZflS1ZTWVZFwF9KZVkVy5es5u619/Lp+xv5QN1H8Xn8WJkcPSfiWOkcsViMhoYGotHi7twvl2f37t0AJPrTWJkcPo+f++7ahGm6L2s803Rz312b8Lp9WJkcif5CqHPPnj1FW7OIiEyeN+83DMpmzcFwOHjjVDePP/3zMTfWRRMJHn/657xxqhvD4aBs1hwwDOrq6lizZs04XYGIiEjx1dbWAuByBQE4cOAE2Wy+KGNns3laWk4MjF86bD6Ry5FMJod+MJHPFXYGnDcvWNQ55s8vjJcbGD8Wi+mhURERERERmRZGCtWZponL5Rr2mprqRERERERERORaNprPQOLx+ASsRK52CtWJSNE88MADVFZW4jIdlM/2DwXrHvv+I7z0yrPkchdvkcnlsrz0yrM89v1H6DjSTi6fI2b1kE6lcTpd3PK22/nEh+u5eflanE7XRcdyOl3cvHwtn/hw/VBzWe+pxFBj3Y4dO4p56XIZwuEw7e3t2DYkB8Jvd922fswNdW8VLCnj7rX3AoWwnm1DW1sbR48evdIli4jIVWDofsPtpmLe/KFg3T888RS/fu0QuVzuoufncjl+/doh/uGJp4YCdRXz5uNyu6msrGTz5s0TdCUiIiLFsW7dOgBMswzDMOnvT9PS0lWUsVtauohG0xiGiWmWDptP5HJkhzUMF9rjPB5nUed4c7w32+ksyyrqHCIiIiIiIpMhMcLmcm9tqYORm+oUqhMRERERERGRa8FoPgNRU52AQnUiUkTBYJDGxkYCgQCmx0nF3BJMt5NUJskPmx7n777bwM+efYJXDv+aSF83sUQ/kb5uXjn8a3727BP83Xcb+GHT48Ti/SQzCWLZCOlUCofDSWjlHWxa/z/GHLgKlpRx//sfHArW9XcnwYampiZaWlrG6b+EjEZzczMA6YRFLmcT8JdyY22oKGPfWBsi4AuSy9mkE9aw+UREZGo7937D7fUxY8EiTK+XdMbix/ueZ9u/7uU/Wl7k1aOvE+mPEkskifRHefXo6/xHy4ts+9e9/Hjf86QzFqbXy4wFi3B7fQQCARobGwkGi9uUIiIiMt5qampYuXIlYOB2VwGwd28HfX1X1szV15fiiSc6AHB7qgCDVatWUV1dfYUrlmvZ8OYEA4B0+uKbIozVm+MZQ6+ZplnUOURERERERCbDSE11FwrVjdRUpyZvEREREREREbkWjOYzEIXqBODiVU8iImNUU1PD1q1baWhoIBKJUDm3hER/hkT//5+9f4+Psjzw///3PedjAoFwhoRDU05KVdIK7ZK2/rRabXUXa91WtnXdx0Jt97N1y9bSdstmV0Xtgd2WZXX3u9LWtm5FqbQeutq6JV2DGkFBgjUNEEBOAiEkk3vOc//+CEQic4ccJslk8no+Hj5grpn7uq/RSMI99/t6xxWJtmnrjue1tZvjnU5Dp9tPK5I8qXQqI4fDqZlTZutzn/x/crs9fVqT2+3RjVfeqvU/v0exRFRma0KBYo82bdqkysrchLjQew0NHTdnJqIdu9Rf9J6FF2wg7Cmn06WLKiq1dcfzSkRT8gXdnecDAAx/7/55Y8zkqWo/3aL2llNqj8b0Uv0fpHr74x0ul4KjRitYPEoyDJWUlKi6ulrl5eWD9RYAAMippUuXqr6+Xl7vWKVSLTJNUxs27NTtt18mj6f3LWCJRFobNuxUNJqU0xmQ1zO28zw9ZVmWotGoUqmUXC6X/H6/DMO48IEoaH5/x2YGkUhEDqdXmXRUhw+3qbQ0kLNzHDrUJklyOjtuIA2FQrYNDQAAAAAwnNiF6gKB8/9OZReqo6kOAAAAAACMBDTVoacI1QHIufLycq1bt04PPvigtmzZokCxR/4ij+JmUoloSqlERqlkWpYlGYbkcjvl8jjk8buUMZLae+SEJCnoLdLYURP0iao/73VD3buFg8W6atEN+uWWR2S2xuUv8mjXrl3av38/u+wPAcuytGfPHklSKpGRJE0dPz2n55g6vlxbz5m/sbFRlmVxEycAFIh3/7wRHDVageJRire3K262KxmPKZ1MdP7Z73R75Pb65A0E5Q0GO78fVFVVafny5TTUAQCGtcrKSi1ZskQ1NTXy+6cq0t6ovXtPaf36bbr11otVXNzzQNHp0zFt2LBTe/eekgyn/P6pkgxVVVVp4cKF3R7b1NSkmpoaNTQ0aM+ePV0uQIdCIc2cOVMVFRWqqqri7+IjlGEYmjlzpnbs2CGnw69MOqp9+1q0YMH4nJ2jqalFkuRwdDQ1zJo1i2sBAAAAAAqCaZpZx7M11dltLkJTHQAAAAAAGAloqkNPEaoDMCDC4bBWrlypqqoqbdq0Sbt27ZIv6JYv6O72uLfeOqZwOKwxo0plxT0KBYp0cUVu2uQurqjU8y8/qUi0TXEzKV/QrZqaGi1btiwn86PnotFo5w8iqWRakjR+zKScnmP8mMld5o9EIorFYlk/VAIADE9Zf94IheQLhS547Pz587V06dILhgMAABguVqxYoV27dqm5uVnBwHS1m/u0d+8p3XNPrW64oUKVlZPkcjlsj0+lMqqrO6wnnmhQNJqUDKeCgelyOHwqKSnR8uXLbY+tq6vT448/rvp6+6rYSCSiHTt2aMeOHdq4caPmzZunG2+8ke/FI1BFRYV27NghlyusZLJZr7xyRNdd955uvz57quPr+IgkyeUq6jwfAAAAABQCu6a6bJ9/0lQHAAAAAABGMprq0FOE6gAMqMrKSlVWVmr//v2du9U3Njaet1v9rFmzVFFRoZdffllNTU1qPRFVNJ7URe9ZKKczN39UOZ0uXVRRqa07nlcimpIv6FZDQ0NO5kbvpFKpzt9bVsevHnf2D3b66ux8Z+eXpGQySagOAApQb3/eWLJkCe04AICCEw6HVV1drVWrVikSkULBWYpGDyoaNfXII/V68slGVVZOVHn5KE2eHJbX61Q8ntahQ21qampRXd0RtbV1XFR2OgPy+6fK4fApFAqpuro6a6trW1ubHnjgAdXU1JwZsZRMnlYq1aZ0JqpMOi7JkmTI4fTK6fDL5QrL7S5WfX296uvraY0dgZYsWaKNGzfK7S5WLOZWa2tcdXWHtWjRlH7PXVd3WG1tcRmGW253Uef5MHJZlqVoNKpUKiWXyyW/309zIQAAAIYtu6a6QCBw3hhNdQAAAAAAYCTryTWQaDSqdDotp9M5CCtCviJUB2BQlJWVdTbCWZalWCymZDIpt9stn88nwzBkWZaefvppSVIqkZEkTR0/PafrmDq+XFvPmb+xsVGWZXEzzSBzud759mMYHcG3RDK3uyKene/c/7Rud/dNiQCA4a0nP28AAFDIysvLtWbNGq1evbqjsS44S/HECSXix9XWFtfzzzd1e7xhuOXxlsrrGSvJUElJiaqrq1VeXn7ea5uamjrPI1mKx08okTguy0pmmdlSJh1VJh1VMtmsWMwtj6dUXu9YbdmyRa+//rrteVB4ysvLNW/ePNXX18vjKVU8flibNzdo7tyxKi7OftNnT5w+HdMTT3RsnuTxlkoyNH/+fDZTGIGampo6N9vYs2fPeZttzJw5UxUVFaqqquLrAwAAAMMKTXUAAAAAAAA909NrIO3t7SoqKhrg1SCfEaoDMOgMw5Df7z/v4n40Gu28ySWVTEuSxo+ZlNNzjx8zucv8kUhEsViM9rJB5vf7FQqFFIlE5HI7lUykdezkYZUUl+bsHMdOHpIkudwduweEQiHbHRkBAIXH7ucNAAAKXXl5udatW6cHH3xQW7ZskdfTEZJLJluVSrUqk4kqfU6DnNPplcPhl8tVdKbZqyOE3l2DXFNT05lGvIgymZii0YNKpzt2yw+HvaqsnKjp00dp0qR3GvEOH27Tvn3vNOLF44eVSrXI75+q5uZmrVq1SmvWrCFYN0IsXbpU9fX18nrHKpVqkWma2rBhp26//TJ5PL3fBTCRSGvDhp2KRpNyOgNngqEd58HIUVdXp8cff1z19fW2r4lEItqxY4d27NihjRs3at68ebrxxhu1cOHCQVwpAAAA0De9CdXZfS5KqA4AAAAAAIwEPWmqkzo+PyRUN7IRqgOQN1KpVOfvLavjV487+w56fXV2vrPzS1IymeSG+0FmGIZmzpypHTt2yOVxKJlI6+CxfZozY0HOznHwWJMkyeVxSJJmzZpFQxEAAACAESEcDmvlypWqqqrSpk2btGvXLrndxXK7iy947Pz587V06VLbgElbW5tWr16tSCSidLpd7eY+yUorEHDr+usrVFk5SS6X47zjSksDWrBgvK677j2qq+toJjNNU5H2RgUD0xWJSKtXr9a6deuyBvlQWCorK7VkyRLV1NTI75+qSHuj9u49pfXrt+nWWy/uVWPd6dMxbdiwU3v3npIMp/z+qZIMVVVVEZQaIdra2vTAAw+opqbmzIilZPK0Uqk2pTNRZc4JEjucXjkdfrlcYbndxaqvr1d9fX23QWIAAAAgX5immXU8EAicN2bXVNfTG8oAAAAAAACGs55uLHS2EAgjF6E6AHnD5XrnjyTD6Ai+JZK53Snv7HznZqvcbndOz4Geqaio0I4dO+TxuxSNJPX6H1/RFe+/Tk5n/781pdMpvd5QJ0ny+F2d5wMAAACAkaSyslKVlZXav3+/ampq1NDQoMbGxi4XhUOhkGbNmqWKigotWbJEZWVl3c75wAMPqLm5WZlMrDNQN2PG6B4HoVwuhxYtmqK5c8d2BqHazX0KBWepublZDz74oFauXNnv9478t2LFCu3atUvNzc0KBqar3dynvXtP6Z57anXDDfYBzbNSqYzq6g7riScaFI0mJcOpYGC6HA6fSkpKtHz58kF8NxgqTU1NWr16tZqbmyVZisdPKJE4LstKZnm1pUw6qkw6qmSyWbGYWx5PqbzesdqyZYtef/11VVdX05gJAACAvNWbpjq7UB1NdQAAAAAAYCToTVMdRjZCdQDyht/vVygUUiQSkcvtVDKR1rGTh1VSXJqzcxw7eUiS5HI7JXXcPOjz9Xz3c+TOkiVLtHHjRnkDbjmdMUXMVu1sqNMlcxb1e+6dDXWKRNvkdBryBtyd5wMAAACAkaisrEzLli2TJFmWpVgspmQyKbfbLZ/P1+NW77q6ujNNUJai0YOdgbrbb79MHo+zV2sqLvbp9tsv0/r127R37ylFowcVDM7Sli1bVFVVpcrKyt6+TQwz4XBY1dXVWrVqlSIRKRScpWj0oKJRU488Uq8nn2xUZeVElZeP0uTJYXm9TsXjaR061KamphbV1R1RW1vHzaBOZ0B+/1Q5HD6FQiFVV1fTODYCNDU1nfn6iSiTiSkaPah0uqO5Ixz2qrJyoqZPH6VJk975+jl8uE379r3z9ROPH1Yq1SK/f6qam5u1atUqrVmzhmAdAAAA8lJvQnV2n4HTVAcAAAAAAEYCmurQU4TqAOQNwzA0c+ZM7dixQy6PQ8lEWgeP7dOcGQtydo6Dx5okSS5Px07ns2bN6vHNg8it8vJyzZs3T/X19fIXeRQ5FddzL27WrGlzFQ4W93netvbTenbrE5KkQJFXhiHNnz//gm0LAAAAADASGIYhv9+f9Ya7C3n88cclSfH4CaXTpgIBt2699eJeB+rO8nicuvXWi3XPPbWKRk3FEyfk9ZRq06ZNhOpGiPLycq1Zs6azaSwYnKV44oQS8eNqa4vr+eebuj3eMNzyeEvl9YyVZKikpISmsRGira1Nq1evViQSUTrd3tmcGQi4df319k2HpaUBLVgwXtdd9x7V1R3W5s0NMk1TkfZGBQPTFYlIq1ev1rp16whmAgAAIO+Yppl1PBAInDdGUx0AAAAAABjJaKpDT53/qTIADKGKigpJksffkfl9/Y+vKJ1O5WTudDql1xvqusx/9nwYGkuXLpUkBYu8cnucisZNPfbcBiWTiT7Nl0wm9NhzGxRLROX2OBUo8nQ5DwAAAACgb5qamlRfXy/JUiJxXJJ0/fUVKi7uX/t7cbFPN9zQ8XfzRPy4JEu7du3S/v37+7liDBfl5eVat26dqqqqJBnyekoVDs+R318ut7tETqdfHZexDUkOOZ1+ud0l8vvLFQ7PkddTKslQVVWV1q1bR6BuhHjggQfU3NysTCbWGaibMWO0Vq1arEWLpmQN1J3L5XJo0aIpWrVqsWbMGC1ZabWb+5TJxNTc3KwHH3xwkN4JAAAA0HO5aKpLpVJKp9M5XRcAAAAAAEC+oakOPUWoDkBeWbJkiSTJG3DL6TQUMVu180wQrr92NtQpEm2T02nIG3B3OR+GRmVlZcd/A0MqKvXL4TB04Ohe/eSp9WprP92rudraT+snT63XgaN75XAYKir1S4ZUVVWlhQsXDtA7AAAAAICRoaamRpKUTJ6WZSVVVORVZeWknMxdWTlJ4bBXlpVUMtna5XwYGcLhsFauXKlvfetbmj9/viRDbnex/P6pCgYrVFR0kYqKLlZR0UUKBivk90+V210sydD8+fO1evVqrVy5kmaxEaKuru7MnxGWotGDnYG622+/rNdB3+Jin26//bLOYF00elCSpS1btqiuLjfXJAEAAIBc6U2ozq6pTqKtDgAAAAAAFL6eNtW1t7cP8EqQ71xDvQAAOFd5ebnmzZun+vp6+Ys8ipyK67kXN2vWtLkKB4v7PG9b+2k9u/UJSVKgyCvDkObPn6+ysrIcrRx9tWLFCu3atUvNzc0aNT6glmOmDhzdq/U/v0dXLbpBF1dUyum0/3aVTqe0s6FOz259QrFEVA6HoVHjA3K5HSopKdHy5csH8d0AAAAAQGFqaGiQJKVSbZKkhQsnXrAJqqdcLocqKyfq+eeblEq1yu0u7jwfRpbKykpVVlZq//79qqmpUUNDgxobG7vsDhgKhTRr1ixVVFRoyZIlXNsZgR5//HFJUjx+Qum0qUDArVtvvVgej7NP83k8Tt1668W6555aRaOm4okT8npKtWnTJlVWVuZy6QAAAEC/mKaZdTwQCJw3dqFQXbZjAAAAAAAACgVNdegpQnUA8s7SpUtVX1+vYJFX8faUonFTjz23Qbdce7vcbk+v50smE3rsuQ2KJaJye5wKFHk6z4OhFw6HVV1drVWrVimiiEZPDKr1eFSxRFS/3PKInn/5SV1UUamp48s1fsxkedxeJZJxHTt5SAePNen1Mw2EkuT2OFVU6pfL7VAoFFJ1dTW71AMAAABAP1mWpT179kiS0pmOXfGnTx+V03OUl3fMlzkzf2NjoyzLkmEYOT0PhoeysjItW7ZMUsfXXywWUzKZlNvtls/n4+tiBGtqalJ9fb0kS4nEcUnS9ddX9Lqh7t2Ki3264YYKPfJIvRLx4/J6xmrXrl3av38/wU0AAADkjd401fl89j8j93SndgAAAAAAgOGqp9c/CNWBUB2AvFNZWaklS5aopqZGRaV+nTrSrgNH9+onT63XjVfe2qvGurb203rsuQ06cHSvHA5DRaV+yZCqqqq0cOHCAXwX6I3y8nKtWbNGq1evVnNzs0omBmW2JmS2xhWJtmnrjue1tZvjnU5DgSJvR2DSkEpKSlRdXa3y8vLBegsAAAAAULCi0WjnheRMumM3t0mTcruByeTJHfOlz8wfiUQUi8Wy3hiIkcUwDPn9fr4WIEmqqamRJCWTp2VZSRUVeVVZOSknc1dWTtKTTzaqrS2uZLKjNbOmpqYz4AkAAAAMtd6E6i7UVAcAAAAAAFDIaKpDTzmGegEAkM2KFStUUlIil9uhUeMDcjgMHTi6V+t/fo9efWOr0ulUt8en0ym9+sZWrf/5PZ2BulHjA3K5HSopKdHy5csH6Z2gp8rLy7Vu3TpVVVVJhhQo9mjMlLCKS/3yh9xye5w6uxG9YXS00vlDbhWX+jVmSliBYk9nYHLdunUE6gAAAAAgR1Kpc/8ObkmSvF5nTs/xznxW51gymczpOQAMfw0NDZKkVKpNkrRw4US5XLn5mMPlcqiycuKZ+Vu7nA8AAADIB6ZpZh0PBALnjdFUBwAAAAAARjKa6tBTNNUByEvhcFjV1dVatWqVIopo9MSgWo9HFUtE9cstj+j5l5/URRWVmjq+XOPHTJbH7VUiGdexk4d08FiTXm+oUyTacXON2+NUUalfLrdDoVBI1dXVCodzu6M+ciMcDmvlypWqqqrSpk2btGvXLvmCbvmC7gseO3/+fC1dupQGQgAAAADIMZfr3EuIhiRL8Xg6p+d4Zz6jc8ztvvDfBQGMHJZlac+ePZKkdKajoWP69FE5PUd5ecd8mTPzNzY2yrIsGYbRzVEAAADA4KCpDgAAAAAAoGdoqkNPEaoDkLfKy8u1Zs0arV69Ws3NzSqZGJTZmpDZGlck2qatO57X1m6OdzoNBYq8ChR1NJiVlJSourqaBrNhoLKyUpWVldq/f79qamrU0NCgxsbGLj+4hEIhzZo1SxUVFVqyZInKysqGcMUAAAAAULj8fr9CoZAikYgcTq8y6agOH25Taen5O+H31aFDHRvjOJ0dN/2FQqFud9UHMPJEo9HOa0OZdMeHYJMm5XbjrMmTO+ZLn5k/EokoFotlvUkZAAAAGEzpdFqJRCLrc9l+Xu3u79SE6gAAAAAAQKGjqQ49RagOQF4rLy/XunXr9OCDD2rLli0KFHvkL/IobiaViKaUSmSUSqZlWZJhSC63Uy6PQx6/S96AW2c3ka6qqtLy5ctpqBtmysrKtGzZMkkdu5HHYjElk0m53W75fD52CQcAAACAQWAYhmbOnKkdO3bI6fArk45q374WLVgwPmfnaGpqkSQ5HB03As6aNYu/8wHoIpVKnfPIkiR5vc6cnuOd+azOsWQySagOAAAAQ86upU6SAoHzN73prqmupzeVAQAAAAAADFc01aGnCNUByHvhcFgrV65UVVWVNm3apF27dskXdMsXdF/w2Pnz52vp0qVauHDhIKwUA8kwDPn9fm5iAgAAAIAhUFFRoR07dsjlCiuZbNYrrxzRdde9Ry6Xo99zp1IZ1dUdkSS5XEWd5wOAc7lc536cYUiyFI+nc3qOd+Z7J9Trdl/4GiQAAAAw0LoL1WX7/NTpdMrpdCqdPv9nZprqAAAAAABAoSNUh54iVAdg2KisrFRlZaX279+vmpoaNTQ0qLGxscs3s1AopFmz2Hc3ZgABAABJREFUZqmiokJLlixRWVnZEK4YAAAAAIDCsGTJEm3cuFFud7FiMbdaW+OqqzusRYum9HvuurrDamuLyzDccruLOs8HAOfy+/0KhUKKRCJyOL3KpKM6fLhNpaXnt3L01aFDbZIkp7Oj1SMUCsnn8+VsfgAAAKCvehuqkySfz6f29vbzxmmqAwAAAAAAha6n1z8I1YFQHYBhp6ysTMuWLZMkWZalWCymZDIpt9stn88nwzAuMAMAAAAAAOiN8vJyzZs3T/X19fJ4ShWPH9bmzQ2aO3esiov7Hjg5fTqmJ55okCR5vKWSDM2fP59NcgCcxzAMzZw5Uzt27JDT4VcmHdW+fS1asGB8zs7R1NQiSXI4Om5KnjVrFtcaAQAAkBdM07R9LhDIvtGE1+vNGqqjqQ4AAAAAABQ6murQU46hXgAA9IdhGPL7/SoqKpLf7+cmFwAAAAAABsjSpUslSV7vWDmdAZlmUhs27FQike7TfIlEWhs27FQ0mpTTGZDXM7bLeQDg3SoqKiRJLldYkvTKK0eUSmVyMncqlVFd3ZEz8xd1OR8AAAAw1PraVJcNoToAAAAAAFDoaKpDTxGqAwAAAAAAAHBBlZWVWrJkiSRDfv9UyXBq795TWr9+m06f7tkF6bNOn45p/fpt2rv3lGQ4O+aToaqqKi1cuHBA1g9g+Ov4M0hyu4tlGG61tsZVV3c4J3PX1R1WW1tchuGW213U5XwAAADAUOtLqM7r9WYd7+lNZQAAAAAAAMMVTXXoKUJ1AAAAAAAAAHpkxYoVKikpkcPhUzAwvTNYd889tdq69a0LNkalUhlt3fqW7rmntjNQFwxMl8PhU0lJiZYvXz5I7wTAcFReXq558+ZJMuTxlEqSNm9u6HWw991On47piScaJEkeb6kkQ/Pnz1dZWVk/VwwAAADkhmmaWccNw7ANz9mN01QHAAAAAAAKXU83FWpvb5dlWQO8GuQz11AvAAAAAAAAAMDwEA6HVV1drVWrVikSkULBWYpGDyoaNfXII/V68slGVVZOVHn5KE2eHJbX61Q8ntahQ21qampRXd0RtbV13LzndAbk90+Vw+FTKBRSdXW1wuHwEL9DAPlu6dKlqq+vl9c7VqlUi0zT1IYNO3X77ZfJ43H2er5EIq0NG3YqGk3K6QzI6xnbeR4AAAAgX9g11fn9fhmGkfU5n8+XdZymOgAAAAAAUOh6uqlQOp1WPB63vY6CwkeoDgAAAAAAAECPlZeXa82aNVq9erWam5sVDM5SPHFCifhxtbXF9fzzTd0ebxhuebylZ4IrhkpKSlRdXa3y8vLBWD6AYa6yslJLlixRTU2N/P6pirQ3au/eU1q/fptuvfViFRf3/AOv06dj2rBhZ2dzpt8/VZKhqqoqLVy4cODeBAAAANBL3YXq7NBUBwAAAAAARqrebCoUiUQI1Y1gjqFeAAAAAAAAAIDhpby8XOvWrVNVVZUkQ15PqcLhOfL7y+V2l8jp9Kvj0qMhySGn0y+3u0R+f7nC4Tnyekp1Nriybt06AnUAemXFihUqKSmRw+FTMDBdMpzau/eU7rmnVlu3vqVUKtPt8alURlu3vqV77qntDNQFA9PlcPhUUlKi5cuXD9I7AQAAAHrGNM2s44FAwPYYu5vBCNUBAAAAAIBC15vrH5FIZABXgnxHUx0AAAAAAACAXguHw1q5cqWqqqq0adMm7dq1S253sdzu4gseO3/+fC1dupQmKAB9Eg6HVV1drVWrVikSkULBWYpGDyoaNfXII/V68slGVVZOVHn5KE2eHJbX61Q8ntahQ21qampRXd0RtbV1fJDmdAbk90+Vw+FTKBRSdXW1wuHwEL9DAAAAoKtcNtX1Zqd2AAAAAACA4SadTiuVSvX49YTqRjZCdQAAAAAAAAD6rLKyUpWVldq/f79qamrU0NCgxsbGLheeQ6GQZs2apYqKCi1ZskRlZWVDuGIAhaC8vFxr1qzR6tWr1dzcrGBwluKJE0rEj6utLa7nn2/q9njDcMvjLZXXM1aSoZKSElVXV9OcCQAAgLyUy1AdTXUAAAAAAKCQ9fbaB6G6kY1QHQAAAAAAAIB+Kysr07JlyyRJlmUpFospmUzK7XbL5/PJMIwhXiGAQlNeXq5169bpwQcf1JYtW+T1dITkkslWpVKtymSiSqfjkixJhpxOrxwOv1yuIrndRZI6/lyqqqrS8uXLaagDAABA3jJNM+t4IBCwPcbn82Udp6kOAAAAAAAUst5e+yBUN7IRqgMAAAAAAACQU4ZhyO/3d7tjPgDkQjgc1sqVK1VVVaVNmzZp165dcruL5XYXX/DY+fPna+nSpVq4cOEgrBQAAADoO5rqAAAAAAAAeoamOvQGoToAAAAAAAAAADCsVVZWqrKyUvv371dNTY0aGhrU2NjY5UOwUCikWbNmqaKiQkuWLFFZWdkQrhgAAADoub6E6miqAwAAAAAAIxFNdegNQnUAAAAAAAAAAKAglJWVadmyZZIky7IUi8WUTCbldrvl8/lkGMYQrxAAAADoPdM0s44HAgHbY2iqAwAAAAAAIxFNdegNQnUAAAAAAAAAAKDgGIYhv9/fbXsHAAAAMBzksqmOUB0AAAAAAChkNNWhNxxDvQAAAAAAAAAAAAAAAAAA2fUlVGfXVNfbG8sAAAAAAACGE5rq0BuE6gAAAAAAAAAAAAAAAIA8ZZpm1vFAIGB7jF2ojqY6AAAAAABQyGiqQ28QqgMAAAAAAAAAAAAAAADyVF+a6nw+X9ZxmuoAAAAAAEAho6kOvUGoDgAAAAAAAAAAAAAAAMhTfQnV0VQHAAAAAABGot5e+2hvbx+glWA4IFQHAAAAAAAAAAAAAAAA5CnTNLOOBwIB22PsmuoI1QEAAAAAgEIWi8V69Xqa6kY2QnUAAAAAAAAAAAAAAABAnsplU11vbywDAAAAAAAYTnq7oRChupGNUB0AAAAAAAAAAAAAAACQp3IZqqOpDgAAAAAAFDKa6tAbhOoAAAAAAAAAAAAAAACAPGWaZtbxQCBge4zP58s6TlMdAAAAAAAoZDTVoTcI1QEAAAAAAAAAAAAAAAB5iqY6AAAAAACAnqGpDr1BqA4AAAAAAAAAAAAAAADIQ5Zl9SlU111TnWVZOVkbAAAAAABAvqGpDr1BqA4AAAAAAAAAAAAAAADIQ/F43DYEFwgEbI+za6qTpGQy2e91AQAAAAAA5COa6tAbhOoAAAAAAAAAAAAAAACAPGTXUif1ralO6v2O7QAAAAAAAMOF3XUPu+sosVhMqVRqIJeEPEaoDgAAAAAAAAAAAAAAAMhDfQ3VdddU19sd2wEAAAAAAIYLu+seY8eOtT2mvb19oJaDPEeoDgAAAAAAAAAAAAAAAMhDpmnaPhcIBGyf6y5UR1MdAAAAAAAoVHbXPcaMGWN7TCQSGajlIM8RqgMAAAAAAAAAAAAAAADyUF+b6nw+n+1zNNUBAAAAAIBCZXfdg1AdsiFUBwAAAAAAAAAAAAAAAOShvobqaKoDAAAAAAAjEU116A1CdQAAAAAAAAAAAAAAAEAeMk3T9rm+NtURqgMAAAAAAIWqL0117e3tA7Uc5DlCdQAAAAAAAAAAAAAAAEAesmuq83g8cjqdtsd111Rnd3MZAAAAAADAcGe3mVAwGLTdhIimupGLUB0AAAAAAAAAAAAAAACQh+xCdd211EkdoTs7NNUBAAAAAIBCZbeZkNfrVSgUyvocobqRi1AdAAAAAAAAAAAAAAAAkIdM08w6HggEuj3OMAzbtjqa6gAAAAAAQKGy20zI5/MRqsN5CNUBAAAAAAAAAAAAAAAAeaivTXWSbEN1NNUBAAAAAIBCRVMdeoNQHQAAAAAAAAAAAAAAAJCH+hOq8/l8WcdpqgMAAAAAAIWKpjr0BqE6AAAAAAAAAAAAAAAAIA+Zppl1PBAIXPBYmuoAAAAAAMBIY3fdg6Y6ZEOoDgAAAAAAAAAAAAAAAMhDA9FUR6gOAAAAAAAUqlgslnWcpjpkQ6gOAAAAAAAAAAAAAAAAyEP9CdXZNdXZ3VwGAAAAAAAw3NFUh94gVAcAAAAAAAAAAAAAAADkIdM0s44HAoELHmsXqqOpDgAAAAAAFCqa6tAbhOoAAAAAAAAAAAAAAACAPNSfpjqfz5d1nKY6AAAAAABQqGiqQ28QqgMAAAAAAAAAAAAAAADyUH9CdTTVAQAAAACAkSSTySiRSGR9zufzKRgMZn2OUN3IRagOAAAAAAAAAAAAAAAAyEOmaWYdDwQCFzzWrqmOUB0AAAAAAChEdoE6iaY6ZEeoDgAAAAAAAAAAAAAAAMhDA9FUF4vF+rUmAAAAAACAfNTdNQ+fz0eoDuchVAcAAAAAAAAAAAAAAADkoYEI1dFUBwAAAAAAClF31zy6a6prb28fqCUhzxGqAwAAAAAAAAAAAAAAAPKQaZpZxwOBwAWP9fl8WcdpqgMAAAAAAIWIpjr0FqE6AAAAAAAAAAAAAAAAIA/RVAcAAAAAANAzfW2qi0QisixroJaFPEaoDgAAAAAAAAAAAAAAAMhD/QnV2TXVEaoDAAAAAACFqK9NdZlMpttjUbgI1QEAAAAAAAAAAAAAAAB5yDTNrOOBQOCCx9o11XGTGAAAAAAAKER9baqTOtrqMPIQqgMAAAAAAAAAAAAAAADyUH+a6uxCdTTVAQAAAACAQtTdRkKE6pANoToAAAAAAAAAAAAAAAAgD/UnVOfz+bKO01QHAAAAAAAKkd1GQg6HQy6Xi1AdzkOoDgAAAAAAAAAAAAAAAMgzqVRKyWQy63OBQOCCx9NUBwAAAAAARhK7jYS8Xq8MwyBUh/MQqgMAAAAAAAAAAAAAAADyjF1LnURTHQAAAAAAwLvZbSR09hqJ1+uV0+nM+hpCdSMToToAAAAAAAAAAAAAAAAgz/Q3VEdTHQAAAAAAGEm6a6qT1G1bHaG6kYlQHQAAAAAAAAAAAAAAAJBnTNO0fS4QCFzweLumOkJ1AAAAAACgEF2oqU6SgsFg1tcQqhuZXEO9AAAAgMFgWZai0ahSqZRcLpf8fr8MwxjqZQEAAAAAAAAAAABZDVRTnd2u7QAAAAAAAMOZXaju3GskNNXhXITqAABAwWpqalJNTY0aGhq0Z8+eLj/whkIhzZw5UxUVFaqqqlJZWdkQrhQAAAAAAAAAAADoqrtQXU+a6uxCdTTVAQAAAACAQmS3kdC5TXWE6nAuQnUAAKDg1NXV6fHHH1d9fb3tayKRiHbs2KEdO3Zo48aNmjdvnm688UYtXLhwEFcKAAAAAAAAAAAAZGeapu1zPWmqO/eGsXPRVAcAAAAAAApRf5rq2tvbB2RNyG+E6gAAQMFoa2vTAw88oJqaGkmSZUlxM6lENKVUIqNUMi3LkgxDcrmdcnkc8vhd8gbcqq+vV319vaqqqrR8+XKFw+EhfjcAAAAAAAAAAAAYyeya6hwOh9xu9wWPt2uqS6VSymQycjgc/VofAAAAAABAPqGpDr1FqA4AABSEpqYmrV69Ws3NzZIltbfGFW1NKJ22znutZUnJRFrJRFrRSFJOZ0z+Io+CRV5t2bJFr7/+uqqrq1VeXj74bwQAAAAAAAAAAACQfaguEAjIMIwLHm/XVCd17Nzek7Y7AAAAAACA4aI/TXWE6kYmQnUAAGDYa2pq0qpVqxSJRJRKZtR6PKpkIi1JCvnDuqiiUlPHT9f4MZPkcXuVSMZ17ORhHTy2T6831CkSbVPkVFzx9pSKSv1qbm7WqlWrtGbNGoJ1AAAAAAAAAAAAGBKmaWYd72kYzq6pTurYuZ1QHQAAAAAAKCQ01aG3CNUBAIBhra2tTatXr1YkElEynlbLMVOZjCW/N6ArL79eF1dUyuk8/0eekuJSzZmxQFe8/zrtbKjTcy9uVjRu6tSRdo0aH1BEEa1evVrr1q1TOBwegncGAAAAAAAAAACAkcyuqS4XoTq7ndsBAAAAAACGK5rq0FuOoV4AAABAfzzwwANqbm5WKpnpDNRNmzBDX7hplS6ZsyhroO5cTqdLl8xZpC/ctErTJsxQJmOp5ZipVDKj5uZmPfjgg4P0TgAAAAAAAAAAAIB32IXqAoFAj44/dxf2d7PbuR0AAAAAAGC4oqkOvUWoDgAADFt1dXWqqamRZUmtx6Odgbpbrr1d4WBxr+YKB4t1y7W3dwbrWo9HJUvasmWL6urqBugdAAAAAAAAAAAAANmZppl1nKY6AAAAAACA89FUh94iVAcAAIatxx9/XJJktsaVTKTl9wZ045W3yu329Gk+t9ujG6+8VT6PX8lEWmZrQpK0adOmnK0ZAAAAAAAAAAAA6Am7prqehupoqgMAAAAAACMJTXXoLUJ1AABgWGpqalJ9fb0sS4qeCb9defn1vW6oe7dwsFhXLbpBUkdYz7KkXbt2af/+/f1dMgAAAAAAAAAAANBjdqG6QCDQo+NpqgMAAAAAACMJTXXoLUJ1AABgWKqpqZEkxc2k0mlLoUCRLq6ozMncF1dUKuQPK522FDeTXc4HAAAAAAAAAAAADAbTNLOO97SpjlAdAAAAAAAYSWiqQ28RqgMAAMNSQ0ODJCkRTUmSLnrPQjmdrpzM7XS6dNGZgN7Z+c+eDwAAAAAAAAAAABgMdk11PQ3VuVwuOZ3OrM/Z3WQGAAAAAAAwXNFUh94iVAcAAIYdy7K0Z88eSVIqkZEkTR0/PafnmDq+vMv8jY2Nsiwrp+cAAAAAAAAAAAAA7NiF6gKBQI/nsGuro6kOAAAAAAAUGrtNhM69PhIMBrO+Jh6PK5lMDsi6kL8I1QEAgGEnGo127giRSqYlSePHTMrpOcaPmdxl/kgkwo6dAAAAAAAAAAAAGDSmaWYd72lTnST5fL6s43zuBQAAAAAACo3dJkLnXh+xa6qTpPb29pyvCfmNUB0AABh2UqlU5+/Plsd53Nl32eyrs/OdW07HDhQAAAAAAAAAAAAYLHZNdb0J1dFUBwAAAAAARoqeNNV1F6o7W/iBkYNQHQAAGHZcLlfn7w2j49dEMrcf/J2d7+z8kuR2u3N6DgAAAAAAAAAAAMCOXaguEAj0eA67pjpCdQAAAAAAoNDQVIfeIlQHAACGHb/f3/lDrcvtlCQdO3k4p+c4dvJQl/lDoZDth44AAAAAAAAAAABArpmmmXU8F011dju3AwAAAAAADFc01aG3CNUBAIBhxzAMzZw5U5Lk8nT8OHPw2L6cnuPgsaYu88+aNUvGubV1AAAAAAAAAAAAwACya6rLRaiOpjoAAAAAAFBoetJUFwwGbY8nVDfyEKoDAADDUkVFhSTJ43dJkl7/4ytKp1M5mTudTun1hrou8589HwAAAAAAAAAAADAY7EJ1gUCgx3Oce9PYuWiqAwAAAAAAhcYuVHfupkNOp9N2wyJCdSMPoToAADAsLVmyRJLkDbjldBqKmK3aeSYI1187G+oUibbJ6TTkDbi7nA8AAAAAAAAAAAAYDKZpZh2nqQ4AAAAAAKAry7JsNxF696ZDoVAo6+sI1Y08hOoAAMCwVF5ernnz5skwJH+RR5L03Iub1dZ+ul/ztrWf1rNbn5AkBYq8Mgxp/vz5Kisr6++SAQAAAAAAAAAAgB6za6rrTaiOpjoAAAAAADASJJNJ2+fevekQoTqc5RrqBfTEnj179PLLL+utt95SIpHQ6NGjNXv2bC1evNj24t9gaGlpUV1dnfbt26eWlhZlMhkVFxdrypQpqqys1IQJE4ZsbQAAjARLly5VfX29gkVexdtTisZNPfbcBt1y7e1yuz29ni+ZTOix5zYolojK7XEqcCast3Tp0lwvHQAAAAAAAAAAAOiWXaguEAj0eA6a6gAAAAAAwEjQ3QZCNNXBTl6H6p544gn98z//s7Zv3571+VAopM9//vNavXq1xo4dO2jr2rRpk9atW6ff/e53sizL9nWXXHKJVqxYob/8y7+Uy5XX/6oBABiWKisrtWTJEtXU1Kio1K9TR9p14Ohe/eSp9brxylsVDhb3eK629tN67LkNOnB0rxwOQ0WlfsmQqqqqtHDhwgF8FwAAAAAAAAAAAEBXlmUNaFMdoToAAAAAAFBIurvWQVMd7DiGegHZxONx3XLLLfrTP/1T20Cd1PEFu27dOs2dO1c1NTUDvq6TJ0/q2muv1dKlS/W///u/3QbqJOnVV1/V8uXLdfnll6uxsXHA1wcAwEi0YsUKlZSUyOV2aNT4gBwOQweO7tX6n9+jV9/YqnQ61e3x6XRKr76xVet/fk9noG7U+IBcbodKSkq0fPnyQXonAAAAAAAAAAAAQIfudlfvTajOrqmuu/kBAAAAAACGG5rq0Bd5V5+WyWT06U9/Wps3b+4y7nQ6NW3aNBUXF2vfvn06ffp053PHjx/XNddco9/85jdatGjRgKyrtbVVV111VdaQX2lpqaZOnSrDMHTo0CEdPXq0y/Pbtm3TRz7yEf3+979XeXn5gKwPAICRKhwOq7q6WqtWrVJEEY2eGFTr8ahiiah+ueURPf/yk7qoolJTx5dr/JjJ8ri9SiTjOnbykA4ea9LrDXWKRNskSW6PU0WlfrncDoVCIVVXVyscDg/xOwQAAAAAAAAAAMBIY9dSJ0mBQKDH89iF6miqAwAAAAAAhYSmOvRF3oXqvv3tb58XqFuxYoX+4R/+QZMmTZLUEbzbvHmzvvzlL+vAgQOSJNM0ddNNN2nXrl0qLi7O+bq+/vWvnxeo++QnP6l//Md/1CWXXNJl/I033tDdd9+tn/70p51jb731lv76r/9azz77bM7XBgDASFdeXq41a9Zo9erVam5uVsnEoMzWhMzWuCLRNm3d8by2dnO802koUORVoMgjGVJJSYmqq6sJwwMAAAAAAAAAAGBImKZp+1xvmurevRP7WTTVAQAAAACAQtKbprpgMJj1dYTqRh7HUC/gXCdPntTdd9/dZWzNmjX693//985AnSQ5HA796Z/+qWpra7vc7P7WW2/pe9/7Xs7X9fbbb+uBBx7oMvaFL3xBmzdvPi9QJ0lz5szRT37yE/3TP/1Tl/HnnntOW7d2d0s/AADoq/Lycq1bt05VVVWSIQWKPRozJaziUr/8IbfcHqcMo+O1htHRSucPuVVc6teYKWEFijsCdVVVVVq3bh2BOgAAAAAAAAAAAAyZ7prqehOqo6kOAAAAAACMBDTVoS/yKlR3//33q62trfPxkiVLdOedd9q+fvLkyfr//r//r8vY2rVrdfLkyZyu68knn1Q6ne58XFpaqu985zsXPO4b3/iG5syZ02XsV7/6VU7XBgAA3hEOh7Vy5Up961vf0vz582UYki/oVtFYv0omBTWurEjjy4s0rqxIJZOCKhrrly/olmFI8+fP1+rVq7Vy5UqFw+GhfisAAAAAAAAAAAAYwboL1QUCgR7PY9dUR6gOAAAAAAAUkt401RGqw1muoV7AWZlMRhs2bOgy9o//+I8yzlbK2Ljiiiv0J3/yJ/r9738vSWpra9Ojjz6qL3zhCzlb25tvvtnl8cc+9rEeXaA826j3xhtvdI41NjbmbF0AACC7yspKVVZWav/+/aqpqVFDQ4MaGxu7/LAbCoU0a9YsVVRUaMmSJSorKxvCFQMAAAAAAAAAAADvME3T9rlcNNV1d6MZAAAAAADAcNPdBkJut7vLY7tQXXt7e07XhPyXN6G62tpaHT9+vPPxjBkz9OEPf7hHx952222doTpJeuKJJ3Iaqmtubu7yeOrUqT0+dtq0aV0et7S05GJJAACgB8rKyrRs2TJJkmVZisViSiaTcrvd8vl8FwzvAwAAAAAAAAAAAEOhu6Y6u/a5bOxCdTTVAQAAAACAQmK3gVC2+4VpqsNZeROqe+qpp7o8vvLKK3t8o/uVV17Z5fHvfvc7tbe3KxgM5mRtxcXFXR53d+Hy3d792rFjx+ZkTQAAoHcMw5Df7+/Vzp0AAAAAAAAAAADAULC7N8Xn88nhcPR4HrsAHk11AAAAAACgkNhtIJRtwyFCdTir51fZBthrr73W5fHixYt7fOykSZNUXl7e+TiRSGj37t05Wpn0vve9r8vjurq6Hh/78ssvd3n8/ve/PxdLAgAAAAAAAAAAAAAAQIEyTTPreG83kKSpDgAAAAAAjAR2GwgRqkN38iZU98Ybb3R5PHfu3F4d/+7Xv3u+/rjuuuu6tN698MIL2rp16wWPa2xs1OOPP9752Ofz6TOf+UzO1gUAAAAAAAAAAAAAAIDCY9dU19tQnV1THaE6AAAAAABQSOyudWS7NkKoDmflRaguGo3qwIEDXcamTp3aqzne/fo333yz3+s6a9SoUfr617/eZWzp0qXdNta98cYb+vjHP65EItE5dtddd2ncuHE5WxcAAAAAAAAAAAAAAAAKj12oLhAI9Goeu6Y6u93bAQAAAAAAhqNcNdVZlpXTdSG/uYZ6AZJ04sSJLl94bre71+GzyZMnd3n89ttv52RtZ33ta19TfX29fvazn0mSjhw5okWLFunaa6/VVVddpbKyMhmGoUOHDun555/Xpk2blEwmuxz/la98JadrAgAAAAAAAAAAAAAAQOExTTPreG+b6uxCdTTVAQAAAACAQpKLpjrLshSNRnu9qRGGr7wI1b27IjEQCMgwjF7NEQwGu52zvxwOh37yk59o8eLFqq6u1vHjx5VOp/XLX/5Sv/zlL22P++AHP6jq6mpdccUVOV2P1BEcPH78eK+OaWxszPk6AAAAAAAAAAAAAAAAkDt2TXW9DdVlu3FMoqkOAAAAAAAUllw01UkdWSRCdSNHXobq7C7odefdFw1zHaqTJMMw9MUvflHXX3+9vvCFL+jJJ5/s9vUf/OAH9ZWvfEUf+chHcr4WSVq/fr2qq6sHZG4AAAAAAAAAAAAAAAAMDbtQXW9v6uquqc6yrF5veg0AAAAAAJCPctFUJ3VkkcaNG5ezdSG/OYZ6AdL5iVCPx9PrOd59EdDu4mJ/tLe36+/+7u9UUVFxwUCdJL3wwgv6sz/7M82bN08vvvhiztcDAAAAAAAAAAAAAACAwmOaZtbxXDXVWZalZDLZ63UBAAAAAADkI7tQXV+a6jBy5EWo7t0X8BKJRK/nePf/AH1pu+vO4cOHtXDhQq1du7YzsPfe975X69ev1x/+8AdFIhGZpqk9e/bohz/8oS677LLOY//whz/oT/7kT/TEE0/kdE0AAAAAAAAAAAAAAAAoPHabSfc2VGfXVCfZ32wGAAAAAAAw3Ly77OusbNmiYDBoOw+hupHFNdQLkM5Pedp9MXfn3RcTu0uO9lYsFtNVV12lP/zhD51jf/VXf6V/+7d/O69Vb8aMGZoxY4b+4i/+Qv/wD/+gu+++W5KUSqX053/+59q+fbvmzJmTk3Xdfvvt+tSnPtWrYxobG3XDDTfk5PwAAAAAAAAAAAAAAADIPbtQXSAQ6NU83W1KHY/HFQ6HezUfAAAAAABAPupNU53X65XT6VQ6nT7vOUJ1I0tehupM05RlWTIMo8dztLe3dztnf9x3332qr6/vfPzRj35UDz74oBwO+6I/wzB011136cCBA3r44YcldYTzvvKVr+jpp5/OybrGjRuncePG5WQuAAAAAAAAAAAAAAAA5AfTNLOO57Kpri+bXgMAAAAAAOSj3jTVGYahUCik06dPn/ccobqRxT4VNojGjh3bJUCXTCb19ttv92qOQ4cOdXmcq7BZOp3WunXruozddddd3QbqznX33Xd3ee2vf/1rHTx4MCdrAwAAAAAAAAAAAAAAQOGxa6rLZajObgd3AAAAAACA4aY3TXWSfZEXobqRJS9CdX6/X9OmTesyduDAgV7N8e7Xz549u9/rkqSdO3fqxIkTnY/Hjh2ryy+/vMfHT506VQsWLOh8bFmW/u///i8nawMAAAAAAAAAAAAAAEDhsWuqCwQCvZon227sZ9FUBwAAAAAACkVvmuok+1Bde3t7ztaE/JcXoTrp/BDc7t27e3X8G2+80e18fbVv374uj8vLy7u06vXE9OnTuzx+d6seAAAAAAAAAAAAAAAAcBZNdQAAAAAAAD1HUx36Im9Cde973/u6PK6tre3xsUeOHFFTU1PnY7fbrblz5+ZkXe/+H8vlcvV6Drfb3eVxOp3u15oAAAAAAAAAAAAAAABQuHIVquuuqY5QHQAAAAAAKBS5aqojVDey5E2o7rrrruvy+De/+Y0sy+rRsc8++2yXxx/5yEdsv8B7a8yYMV0eHz58uNdzvLuZrrS0tF9rAgAAAAAAAAAAAIChkEgktHHjRt12221asGCB/H6/HA6H/H6/FixYoNtuu00bN25UIpEY6qUCwLBmmmbW8UAg0Kt5PB6P7XN2N5sBAAAAAAAMNzTVoS/yJlS3ePFijR07tvPx3r179bvf/a5Hx/7Xf/1Xl8fXX399ztZVXl7e5fGBAwe0Z8+eHh/f1tamurq6LmMzZ87MxdIAAAAAAAAAAAAAYFAkk0ndf//9mjZtmm666SY99NBD2rlzp2KxmCzLUiwW086dO/XQQw/ppptu0rRp03T//fcrmUwO9dIBYFjKVVOdYRi2wTqa6gAAAAAAQKGgqQ59kTehOofDoc9//vNdxqqrqy/YVvfb3/5Wv//97zsfh8Nh3XTTTTlbV0VFhaZMmdJl7Dvf+U6Pj//e977X5SJkIBDQ5ZdfnrP1AQAAAAAAAAAAAMBA2r17ty6//HLdeeedOnbsWI+OOXbsmO68805dfvnl2r179wCvEAAKT65CdZL9zWM01QEAAAAAMDIkEglt3LhRt912mxYsWCC/3y+HwyG/368FCxbotttu08aNG5VIJIZ6qX1GUx36Im9CdZJ05513dvnC3LJli+677z7b1x86dEh/9Vd/1WXsb//2b7s03mVjGEaXfy7UiHfLLbd0efzggw/qxz/+cbfHSNKvfvUr3XXXXV3Gbr75Ztv/KQEAAAAAAAAAAAAgn9TW1mrRokXavn17n47fvn27Fi1apNra2hyvDAAKm2maWccDgUCv57K7T4WmOgAAAAAAClsymdT999+vadOm6aabbtJDDz2knTt3KhaLybIsxWIx7dy5Uw899JBuuukmTZs2Tffff7+SyeRQL73XaKpDX+RVqG7s2LH6+te/3mVs1apVuv3223X48OHOsUwmoyeeeEKLFy9WU1NT5/ikSZP0la98Jefr+upXv6qSkpLOx5Zl6XOf+5xuvfVW1dfXn/f6xsZG/c3f/I1uuOEGpVKpzvFAIKBvfetbOV8fAAAAAAAAAAAAAOTa7t27dc0116i1tbVf87S2tuqaa66hsQ4AeoGmOgAAAAAA0B+7d+/W5ZdfrjvvvFPHjh3r0THHjh3TnXfeqcsvv3zYXc+lqQ59kVehOqmjre66667rMvbv//7vmjZtmmbOnKlLL71UY8aM0Z/+6Z/qwIEDna/x+/169NFHNWrUqJyvafTo0frFL35x3v9MP/zhDzV//nyNHz9el112mRYuXKhJkybpPe95j9atW6dMJtP5WofDoZ/97GcqKyvL+foAAAAAAAAAAAAAIJeSyaRuueWWfgfqzmptbdWyZcuG5Q7HADDYksmk0ul01uf6EqqjqQ4AAAAAgJGltrZWixYt0vbt2/t0/Pbt27Vo0SLV1tbmeGUDx27zIEJ16E7eheocDoc2btyom2++uct4Op3W3r179eqrr6qlpaXLc2PGjNHTTz+tD37wgwO2riVLlug3v/lN1lDc22+/re3bt2vbtm06cuTIec+PHz9ev/rVr3T99dcP2PoAAAAAAAAAAAAAIFfWrl2rV199Nadzbt++XWvXrs3pnABQiEzTtH0uEAj0ej67pjpCdQAAAAAAFJ7du3frmmuu6feGaa2trbrmmmuGTWOd3XUOu+sihOog5WGoTur4on3kkUf02GOP6X3ve5/t64LBoG6//Xbt3r1bH/7whwd8XR/60If0+uuva+3atZo9e/YFX19eXq677rpL9fX1+vjHPz7g6wMAAAAAAAAAAACA/kokEvre9743IHOvXbtWiURiQOYGgEIRjUZtn8tlU53dDu4AAAAAAGB4SiaTuuWWW/odqDurtbVVy5YtUzKZzMl8A6m3TXXBYDDrOKG6kcU11AvoztKlS7V06VI1NjbqpZde0qFDh5RIJDRq1CjNmTNHH/zgB21To92xLKvPawqHw/ryl7+sL3/5yzp69Kjq6up0+PBhtbS0yLIsFRcXa/z48Vq4cKGmTZvW5/MAAAAAAAAAAAAAwFDYvHmzjh07NiBzHz16VJs3b9anPvWpAZkfAArBYIXqaKoDAAAAAKCwrF27Vq+++mpO59y+fbvWrl2rr371qzmdN5csy6KpDn2S16G6s2bNmqVZs2YN9TLOM2HCBH3iE58Y6mUAAAAAAAAAAAAAQM78+te/HvD5CdUBgD3TNG2fCwQCvZ7P7uYxmuoAAAAAACgciURC3/ve9wZk7rVr1+rLX/6yPB7PgMzfX6lUSplMJutzdpsNEaqDJDmGegEAAAAAAAAAAAAAgPzxyiuvDOj827ZtG9D5AWC4o6kOAAAAAAD01ubNm3Xs2LEBmfvo0aPavHnzgMydC91d4+htU10ikVAymczJupD/CNUBAAAAAAAAAAAAADo1NDQM6/kBYLjLdajO7uYxQnUAAAAAABSOX//618N6/v6IxWK2z/W2qU6S2tvb+70mDA+E6gAAyHMvvfSS1q9fr5deemmolwIAAAAAAAAAGAEGOmTR3Q0OAADJNM2s4y6XS263u9fz2d08xp/HAAAAAAAUjldeeWVA59+2bduAzt8fuWyqk6RIJNLvNWF4IFQHAEAe27Ztm+666y4988wzuuuuu7R9+/ahXhIAAAAAAAAAoMDZhS9yxe4mBgBAB7umur601En2f67TVAcAAAAAQOFoaGgY1vP3R3fXOPrSVEeobuQgVAcAQB775S9/KUlKpzJdHgMAAAAAAAAAMFAqKiqG9fwAMNzlOlRnF2amqQ4AAAAAgMIx0Jvn5PN1hO7WRlMdukOoDgCAPBWJRLRjxw5JUtvJjh/2XnvtNX5QAwAAAAAAAAAMqIULFw7o/JdddtmAzg8Aw51pmlnHA4FAn+ajqQ4AAAAAgMJn9/f/XLELp+WDvjTVdXedhXu1Rw5CdQAA5KmXXnpJ6XRaqURa8WhKqURa6XRaL7/88lAvDQAAAAAAAABQwK6++uphPT8ADHeD1VRHqA4AAAAAgMJRUVExrOfvj7401TmdTttgHaG6kYNQHQAAeaq2tlaSFGtPSZLiZqrLOAAAAAAAAAAAA+H666/X+PHjB2TuCRMm6Prrrx+QuQGgUOQ6VGe3I3t3N5wBAAAAAIDhZeHChQM6/2WXXTag8/dHdxsHeTwe2+dCoVDWcUJ1IwehOgAA8lA0GtWrr74qSYqbSUlSrL3j1+3bt9t+kAYAAAAAAAAAQH95PB793d/93YDMfccdd3R7EwMAQDJNM+u43e7pF0JTHQAAAAAAhe/qq68e1vP3h93GQR6PRw6HfWyKUB0I1QEAkIfq6uqUTCaVSmaUSmYkqfP3yWRSr7zyyhCvEAAAAAAAAABQyO644w5deumlOZ3z0ksv1R133JHTOQGgENFUBwAAAAAAeuv666/X+PHjB2TuCRMm6Prrrx+QuXPBbuMgu2siZxGqA6E6AADyUG1trSQpfqad7qyzrXVnnwcAAAAAAAAAYCC43W49/PDDKioqysl8xcXFevjhh+V2u3MyHwAUssEK1dFUBwAAAABA4fB4PPq7v/u7AZn7jjvukMfjGZC5c8Fu4yCfz9ftccFgMOs4obqRg1AdAAB5Jh6PdzbRxc2UJGnqhOkdj9s7HtfV1fEhFwAAAAAAAABgQM2dO1fPPPNMv4N1xcXFevrppzV37twcrQwACptpmlnHA4FAn+azu4GMpjoAAAAAAArLHXfcoUsvvTSnc1566aW64447cjpnrtFUh74iVAcAQJ7Ztm2b4vG40qmMkom0HIZDn6z6jAwZSibSSqcyisfj2r59+1AvFQAAAAAAAABQ4BYvXqytW7f2+UaMSy+9VLW1tVq8eHGOVwYAhYumOgAAAAAA0Bdut1sPP/xwvzdKO6u4uFgPP/yw3G53TuYbKH1tqiNUB0J1AADkmdraWknvtNKVTZypsaPHq3zSrC7jZ18HAAAAAAAAAMBAmjt3rl588UXdd999Gj9+fI+OmTBhgu677z69+OKLNNQBQC/lOlRndwMZoToAAAAAAArP3Llz9cwzz/Q7WFdcXKynn356WFzfzXVTXXt7e7/XhOGBUB0AAHkkmUyqrq5OkhQzk5KkOTPf1/HrjAVdxl9++WUlk8nBXyQAAAAAAAAAYMRxu9366le/qgMHDujRRx/V9OnTs76uoqJCjz76qPbv36+vfvWreb+DMQDkI9M0s44HAoE+zWd3A5ndLu4AAAAAAGB4W7x4sbZu3apLL720T8dfeumlqq2t1eLFi3O8soFhd42jr6E6mupGDtdQLwAAALzjtddek2mayqQySsbTMmRodvnFkqTZ0xfo6f97TMl4WplURqZpaseOHVq4cOEQrxoAAAAAAAAAupdOp7Vt2zbt3r1bb7/9tpLJpEKhkKZMmaI5c+Zo9uzZcjjYD3Q48Hg8+tSnPqXnn39eDzzwwHnPz5s3T5/61KeGYGUAUDhy3VRndwMZTXUAAAAAABSuuXPn6sUXX9TatWv1ve99T8eOHbvgMRMmTNAdd9yhO+64Y1htmGZ3jcPn83V7HKE6EKoDACCP1NbWSpJiZkqSNHXCdIWDxZKkcLBYUydM18Gj+xQzUwoUeVRbW0uoDgAAAAAAABhB/vEf/1HV1dV9Pv5zn/ucfvjDH+ZuQRewb98+ffvb39YjjzyilpYW29cVFRXpIx/5iP76r/9aH//4xwdtfei70aNHZx0/derUIK8EAApPrkN1djeQJZNJZTIZgu0AAAAAABQot9utr371q/ryl7+sRx99VMuWLbN97YYNG/SZz3xGHo9nEFeYGzTVoa+4KgYAQJ5IpVJ68cUXJUlxMylJmjNjQZfXzJ3xvi7Pv/jii0qlUoO3SAAAAAAAAADogUwmozVr1mjOnDn693//924DdZLU2tqqzZs368c//vHgLBD9VlJSknWcUB0A9J9pmlnHA4FAn+br7gYy2uoAAAAAACh8Ho9H11xzTbev+djHPjYsA3USTXXoO0J1AADkiV27dikSiSiTzigRS0uS5kzvGqqbfeZxIpZWJm2pra1Nu3btGvS1AgAAAAAAAICdZDKpm2++WV//+tfP+yC7uLhYs2fP1vvf/37NmTOnz+EADD27prrm5uZBXgkAFJ7BaqqTCNUBAAAAADBS2LW5nWV3PWI4oKkOfeUa6gUAAIAOL7zwgiQpbnY0z00qnabicNedfkeFSzSpdJoOHz+guJmUP+xRbW2t3ve+9w32cgEAAAAAAADkge985ztasGDBhV94xqRJkwZwNR1uu+02bdy4sfOxy+XS8uXL9bnPfU4LFy6UYRidz2UyGTU0NOh//ud/9Oijj3Z5DvnNLlRHUx0A9F+uQ3Xd3UB2oRvqAAAAAABAYSjkUB1NdegrQnUAAOSBTCajrVu3SpJiZ0J1c2ZkvxFmzowFOnz8gGJmSv6wR1u3btWKFSvkcFBACwAAAAAAAIw0l112mT784Q8P9TI6/eQnP9HDDz/c+XjSpEl65plndPHFF2d9vcPh0OzZszV79mz97d/+LYGsYaSkpCTreCQSUTKZlNvtHuQVAUDhME0z63hfG167C9XRVAcAAAAAwMhQyKE6murQV9x9DwBAHti9e7dOnz6tTMZSMtoRqps7431ZXztnekfYLhlNKZOx1NLSojfeeGOwlgoAAAAAAAAAWZ04cUJ33HFH5+Pi4mJt2bLFNlCXjV37GfJPd/+tCEcCQP/kuqmuu13ZaaoDAAAAAGBkKORQXa6b6trb25XJZPq9LuQ/QnUAAOSB2tpaSVLcTMmSNGHMZJUUl2Z97ZhR4zS+ZJKsM6+XpBdeeGGQVgoAAAAAAAAA2d199906ceJE5+N77rlHs2bNGsIVYSARqgOAgZHJZGxvBOtrqI6mOgAAAAAAMBJDdX1tqrMsa1j/+0DPEaoDAGCIWZb1TqiuPSlJmn2mjc7OnDMtdmdfv3XrVlmWNXCLBAAAAAAAAIBuxONx/fjHP+58PGHCBC1fvnwIV4SBVlJSYvtcc3PzIK4EAApLdzdsBQKBPs1JUx0AAAAAALhQSGw4h8jsrm/0talOkiKRSL/WhOGBUB0AAEOsoaFBJ0+eVCZjKRHtaJ6bO/N93R4zZ0ZH6C4RS8nKWDpx4oQaGhoGeqkAAAAAAAAAkNUvfvGLLkGqm2++WU6ncwhXhIEWDAblcrmyPkdTHQD0XXc3sNFUBwAAAAAA+oqmuvMFg0Hb5wjVjQyE6gAAGGIvvPCCJCkRTcmSNHbUeJWOniBJsiSl02klUyml02md7aIrHT1BY4rHybKk+Jkg3tm2OwAAAAAAAAAYbE899VSXxx/5yEeGaCUYLIZhaPTo0VmfI1QHAH03EKE6l8tlG3YnVAcAAAAAwMhQyKE6murQV9m3DgQAAIPCsqzOMFy8PSlJmjllrg6+9ZbaI+0yzXalUunO17tcTgUCQQVDQc2aOlcnT7+teHtSvqBbtbW1+vznPy/DMIbkvQAAAAAAAAAYGvF4XHv37tXJkyfldrs1ZswYTZo0SYFAYNDWUFdX1+XxggULJHVsGvbss8/qRz/6kV599VW99dZbcrvdKi0t1SWXXKJrrrlGn/70pwd1rcidkpISHT9+/Lzxc1sLAQC9Y5qm7XP9+X7p9Xqzzn2hG+oAAAAAAEBhKORQXV+b6gjVgVAdAABZtLe3a9OmTWpoaJBlWRc+oI/S6bSOHTsmK2Mp0hpVLBaXEffqyOEjWV+fSqXV2tqq1tZWGXGfIpGIUimvisb6dfToUX3961+33WUyFwzDUEVFhf7sz/6s28pjAAAAAAAAAIPji1/8ovbu3Xveh+Eul0uXXXaZrrnmGt1+++0qLS0dsDWcPn1aDQ0NnY+dTqfKysq0d+9e3XLLLdq6dWvWYxobG7Vx40Z985vf1L333qtly5YN2BoxMGiqA4DcG4imOsk+VEdTHQAAAAAAI0Mhh+r62lTn8XjkcrmUSqXOe669vT0na0N+I1QHAEAW//mf/6nf/va3g3KuVCql/XvfUsp0KOQr1qjQWGXSGWXSlizLUibzTqjP4TBkGIYcTkOjQmPlcwUUibRqX2Obps2Yol27dg34el977TWdPHlSX/7ylwf8XAAAAAAAAAC6t3v37qzjqVRKL730kl566SXdd999WrlypVavXj0gm3Lt3bu3y+Zk4XBYu3fv1uLFi3X69OkLHn/48GH9xV/8herr63XvvffmfH0YOITqACD3BipUZ3cTGU11AAAAAACMDIUcqutrU51hGAqFQmppaTnvOZrqRgZCdQAAZNHU1CRJSsRSirYlB+w8yWRSx48flzKGHIZDk8dMVzKetm3H6wjYWUqnO36QmzRmhhoOvaZ4e0Z/rN+v0tJSud3uAVuvP+yWx+fq/PcDAAAAAAAAIP9Fo1H98z//s37/+9/rV7/6lUKhUE7nf/eHzYZh6LrrrusM1AUCAX3mM5/RkiVLNGbMGJ08eVJbtmzRz372sy4f0t93332aPHmy/uZv/iZna3v77bc7rsH2QmNjY87OX+hKSkqyjjc3Nw/ySgCgcGRrkzvrQrurd8fuJjKa6gAAAAAAGBkuFJobzqG6vjbVSSJUN8IRqgMAIIuPfvSj2rNnjzw+l6yMpdYTsS6NcbmQTqcViUTksDpCcG6HVzMmXCTLsuRyuhQOjpLfG5DX7ZPhcMjKZBRPxhSNm2prb1EqndLMCRdp35E3lExLsqTm46cVCoVyvtu0w2GoaKxPHl/Hjw5XXHFFTucHAAAAAAAA0HOGYWjRokW69tpr9f73v19z5sxRSUmJHA6HTp48qe3bt+vJJ5/Uj370oy4fJP/ud7/TzTffrM2bN+f0GuK7P2w+depUZ1PZZZddpk2bNmnatGldXrNs2TJ985vf1PXXX6+dO3d2jv/93/+9Pvaxj6mioiIna1u/fr2qq6tzMhfOR1MdAOSe3Q1sfr9fhmH0eV67m8gI1QEAAAAAMDLQVJed3UaEhOpGBkJ1AABk8YlPfEKGYeihhx6SAtKYSU6dPhFVIpaWJPk8Pi1acIW87gv/sJVNOpNW0/4DSqdSsjKWHJZbE0qmKeANaezoCSoKjjr/QzGn5HZ7FAoUaeyo8Wptb9GJU0d11aU362jzAWWMpAyHIafLpfKyaXI6+nZTTCwR04s7n1cs0fHDs8fnVHGpXw6nQy6XS3/5l3+p6667rk9zAwAAAAAAAOifq666Sp/5zGdsQ2eTJk3SpEmTdN111+mb3/ymbr75Zr3wwgudzz/11FNav359Ttvg7D5YnjJlip577jnb4FV5ebl++9vf6qKLLtLRo0cldXzw/Z3vfEf/8R//kbP1YeAQqgOA3OsuVNcfdjeRXeiGOgAAAAAAUBgKOVTX36a6bAjVjQyE6gAAyMIwDH3iE5/QvHnzdP/99+vQoUMaPSGo9pa42lviiiVi2vHmS/qz/9/nNHlcWa/n37Nnj1wTi2RZlpKxtCxZ8nuDmlg6VS7nhb89G4ah4tBoBf1hHTl+UF63X4YMuX1OGYahMeExmjlzRq/Xdejt/dr0mx8plojJkBQc5VVwVMcHbFOmTNHf//3fa8aM3s8LAAAAAAAAIDcWL17c49dOmTJFv/nNb/TRj35UW7du7Ry/6667dNtttykQCORkTXYfSn/729+2DV2dNXbsWN177736/Oc/3zn28MMP61//9V/7HR7AwCspKck63tzcPMgrAYDCYZpm1vH+ft+2C9XRVAcAAAAAwMhwoVDdcN54h6Y69JVjqBcAAEA+mzFjhv7lX/5FV155paSOkNnoCUE5XQ41t57QhifWqva138qyrB7P2dLSopMnO24oSCXeCdRNGVfWo0DduVxOl6aMK5PfG5QlS6lER5PeyZMn1dLS0uN5LMtS7Wu/1YYn1qq59YScLodGTwx2BuquuuoqrV27lkAdAAAAAAAAMMz4fD79+Mc/lsv1zrXHt99+W88++2zOzpHtA+eSkhItXbq0R8d/+tOfVnFxcefjWCyml19+OSdru/3227Vr165e/fPEE0/k5NwjAU11AJB7A9VUZxeCH843zAEAAAAAgJ4r1Ka6dDqtVCqV9TlCdbgQmuoAALgAn8+n//f//p8uueQSrVu3TqZMlUwKqu1kTLH2pJ57cbP2vPUH/elHlykUKLrgfEeOHJUkpVMZZTKWnA6nJpZOleHoW9bdcDg0sXSqmg7/UZlMWulURk6XQ0eOHtWoUaMueHzEbNUvnn9Ye996s+P9Bt0Kj/HJ4TAUDAb1pS99SR/60If6tDYAAAAAAAAAQ2/WrFn65Cc/qU2bNnWOPfvss7rhhhtyMn+2D5wXLVokt9vdo+N9Pp/e//7367nnnusce+WVV1RVVdXvtY0bN07jxo3r9zzIjlAdAOTeQIXqaKoDAAAAAGBkK9RQXXfXNuw2GToXobqRjaY6AAB66E/+5E/0gx/8QO9973vlcBgqLvWraIxPhiHtfetNPbDxXjUe2N3tHKYZVVtbm6SOUJ0kjR09odcNde/mcrpUOnpCl3nbWttkXuAH3MYDu/XAxnu19603ZRhS0Ri/ikv9cjgMzZ49W9///vcJ1AEAAAAAAAAF4Iorrujy+M0338zZ3OPHjz9vrKKioldzvPe97+3y+O233+7XmjA4SkpKso7HYrFhewMGAAw10zSzjgcCgX7NS1MdAAAAAAAj24Wu2Q7Xa7rdXdugqQ4XQqgOAIBeGDdunO69917ddNNNMgxD/rBHJZNCcnmcao9G9NOnH9Cztb9QKp3MevzJ5pOSpEw6I8uy5HK6VRQclZO1FQVHyeV0ybIsZdIdwbrmkyezvjaVTup/ajfpp08/oPZoRC6PUyWTQvKH3TIMQ5/+9Kd17733soMzAAAAAAAAUCCmTp3a5fHx48dzNvfMmTPl8Xi6jBUVFfVqjne/nqaz4cGuqU7ivyEA9BVNdQAAAAAAYCDQVJcdobqRjVAdAAC95HK5tGzZMt11110qKSmRy+1QycSAAkUdN41s3fm/eugXa3Wi5dh5x7ZH2iVJmbQlSQoHi2UYRk7WZRiGwmcCemfnj7S3n/e6Ey3H9NAv1urFnb+TJAWKPCqZGOh4HyUluuuuu3TLLbfI6XTmZF0AAAAAAAAAhp7b7e7yOJnMvjFYXzidzvOa6Xp7g/67P8zvbxsPBgehOgDIPbsb2AaqqY5QHQAAAAAAI0Ohhur621QXDAazjhOqGxkI1QEA0EcXX3yxfvCDH+j9739/R6CtxKdR4wJyOAwdOfGW/vPxb+u1N1+SZXUE3CxJptkRcjs75vfm9saQs/Odnd9sb5d15jnLsvTamy/pPx//to6ceEsOh6FR4wIKl/hkGIY+8IEP6Ac/+IEuvvjinK4JAAAAAAAAwNA7evRol8elpaU5nf/SSy/t8vjYsfM3HevO22+/3eXxmDFj+r0mDLzuQnXNzc2DuBIAKBymaWYdH6imugvdUAcAAAAAAApDoYbqaKpDfxCqAwCgH4qKivTNb35Ty5cvl9vtljfg0pjJQXl8TiWSCW3+35/qF7/9sWKJqDLptFKptCQpk+mIunndF/5hrTfOznd2/lQqrUw6o1giqk2//ZE2/+9PlUgm5PE5NWZyUN6AS263WytWrNA3vvENFRUV5XQ9AAAAAAAAAPLD//3f/3V5PHXq1JzO/8lPfrLL423btvXq+He//r3vfW+/14SB5/f7bW9KoKkOAPrG7ga2gQrV0VQHAAAAAMDIUKihuv421RGqG9kI1QEA0E+GYei6667Td7/7XU2ZMkUOp0OjJwQVGuWVIen1xm36j8fu18Gj+84/1pHbb8XZ5jt4dK/+Y+P92tW4XYak0GivRk8IyuF0aOrUqfre976na6+9VoZh5HQtAAAAAAAAAPJDS0uLHn/88S5jV1xxRU7PcfXVV3cJV+3cuVN//OMfe3RsfX293njjjS5jH/7wh3O5PAygkpKSrOOE6gCgb+xuYAsEAv2a1y4ETVMdAAAAAAAjQ6GG6gaqqa69vb3Pa8LwQagOAIAcmT59utauXauPfexjkqTgKK9GTwzK6XLoVOtJPfzkD7R7/zZZltV5jJXJ5HQN585nWZZ279+mh59cp1NtJ+V0OTR6YlDB4o5dF66++mqtXbtW5eXlOV0DAAAAAAAAgPyycuVKtbS0dD72eDy65pprcnqOYDCoW265pcvYXXfd1aNj/+mf/qnL46qqKo0bNy5na8PAGj16dNbx5ubmQV4JABQG0zSzjtNUBwAAAAAA+uNCoblCDNXRVIcLIVQHAMOEZVkyTVOtra0yTbNLMAv5w+fz6Utf+pLuvPNOBYNBub1OlUwKyhd0K2NZ2rl3q3732mbFkx0fhsWTud358ex88aSp/33tCe3cu1UZKyNf0K2SSR3rCQaD+trXvqYvfvGLPfphEQAAAAAAAEB+uPfee7Vt27Yevz6VSukrX/mK/uu//qvL+IoVKzRx4sRujzUMo8s/v/vd7y54vtWrV3fZ9fXHP/6xHnrooW6PWb9+vR599NEuY6tWrbrguZA/7EJ1NNUBQN/Y3cDW31Cd3c7shOoAAAAAABgZCrWpzu59uVwuOZ3OCx5PqG5kcw31AgAA9pqamlRTU6OGhgbt2bOnyzfnUCikmTNnqqKiQlVVVSorKxvCleLdPvShD6miokLf+c539MYbb6i41C+Pz6VIJKKjpw7qf3f+Qh9dcKOicVOhQFHOzhuNm0qk4vrfnb+QmWiTy+VS0Vi//CG3JGnOnDlauXIluzwDAAAAAAAAw9Cvf/1rrVq1SosXL9ZNN92kK664QrNnz5bL1fUjv9OnT+vpp5/W/fffr9dee63LczNnztS3vvWtAVnflClTdOedd6q6urpz7K/+6q+0fft23XnnnZo6dWrn+IEDB7RmzRo9+OCDXeb48z//c33sYx8bkPVhYJSUlGQdJ1QHAH1jdwNbIBDo17x2m21e6IY6AAAAAABQGC50DSCRSCidTvcoiJZP7DYM6mnxiF2oLpFIKJFIyOPx9HltyH+E6gAgD9XV1enxxx9XfX297WsikYh27NihHTt2aOPGjZo3b55uvPFGLVy4cBBXiu6MGzdOa9as0X//93/r5z//ufxhtzxFGSVOpmXGW3WkuUkBb0hjR42XYRj9Pp9lWWprb9GR5iaZ8VZllJGnyCl/yC3DMPTpT39aN99887D7YRcAAAAAAABAV7W1taqtrZXU8aHwlClTVFxcLKfTqZMnT6qpqUmZTOa84yZMmKBnnnlGY8aMGbC1/cM//IO2bdumJ598UlLHdct/+7d/0/r16zV9+nSNGTNGJ0+e1N69e8879tJLL9V//Md/DNjaMDDsmuqam5sHeSUAUBhM08w63t+mOrsbyWiqAwAAAABgZOjJxjqxWEzBYHAQVpM7du/L5/P16Hi7UJ0ktbe3E6orcITqACCPtLW16YEHHlBNTY0kybKkuJlUIppSKpFRKpmWZUmGIbncTrk8Dnn8LnkDbtXX16u+vl5VVVVavny5wuHwEL8bSJLT6dRnP/tZzZo1S3fddZfGjC1R5ORRyTDkdnqUSifV2t6i4lD2mw56o7W9Ral0Sm6np+OLxLI0trRjh+BvfOMb+sAHPtDvcwAAAAAAAADIL/F4XHv27Lng6z7+8Y9rw4YNGjdu3ICux+l06rHHHtPy5cv1ox/9qHPcsizt3bs3a5hOkj75yU/qpz/9abcfXiM/2YXqaKoDgL6xa6rrb6jO7kYymuoAAAAAABgZenINIBqNDrtQ3UA11UkdJTh218BRGBxDvQAAQIempiZ96Utf6gjUWVL76bhOvtWm08ejikaSSiY6AnVSR9gumUgrGknq9PGoTr7VpvbTccmStmzZoi996Utqamoa0veDriKRiCTJ4/LK4/bJ6XBq4thpkqQTp44qlU71a/5UOqXjp45KkiaOnSanwymP29cRsFPHTgkAAAAAAAAAhrdvfOMbWrFihebNmyen03nB14dCIX3qU5/Sli1b9NRTTw14oO4sr9erH/7wh3rmmWf0wQ9+0PZ1hmHoAx/4gH71q19p8+bNBOqGqZKSkqzjhOoAoG/sQnWBQKBf89JUBwAAAADAyGVZVo9DdcPNQDbVnb3/G4WLpjoAyANNTU1atWqVIpGIUsmMWo9HlUykJUkhf1gXVVRq6vjpGj9mkjxurxLJuI6dPKyDx/bp9YY6RaJtipyKK96eUlGpX83NzVq1apXWrFmj8vLyoX1zkCTV1tZKkuJmSj6vV8X+cfL5fErGU0pn0jpy/KCmjCuT4eh93t3KZHTk+EFlMmk5HIbcXp8mlEzT6ejbipspuTxO1dbW6qMf/Wiu3xYAAAAAAACAQXTllVfqyiuvlCSZpqndu3erqalJR44cUSQSUSaT0ahRozR69GjNnTtXF110UY/Cd9lYZ3d564err75aV199tQ4dOqStW7dq//79isViGj16tCZOnKgPfvCDgxb0w8Cx26W3ubl5kFcCAIXBNM2s4wPVVEeoDgAAAACAwtfTv/8Px1DdQDfVobARqgOAIdbW1qbVq1crEokoGU+r5ZipTMaS3xvQlZdfr4srKuV0nv/HdUlxqebMWKAr3n+ddjbU6bkXNysaN3XqSLtGjQ8ooohWr16tdevWKRwOD8E7w1nRaFSvvvqqJCnWnpTL7db8WZdIklwep5KxtKLxdr319n5NLJ0qV5b/3nZS6ZSOHD+oaLxdhgy5PB03yMybealefvO3ipkpBUd5tX37dkWj0X5/2AYAAAAAAAAgPwQCAS1cuFALFy4c6qVc0OTJk3XjjTcO9TIwQOxCdTTVAUDf2N281t/P+exuJOvJLvUAAAAAAGB46+nf/4djqK6/TXWBQMD2OUJ1ha/3dTgAgJx64IEH1NzcrFQy0xmomzZhhr5w0ypdMmdR1kDduZxOly6Zs0hfuGmVpk2YoUzGUssxU6lkRs3NzXrwwQcH6Z3ATl1dnZLJpFLJjFLJjJwOpz5UeYXcHrcMw5DL65QhQ9F4u5oO/1GnI6cuuAu0ZVk6HTmlpsN/fCdQ53XKMAy5PW596P0fkdPhUCqRViqZUTKZ1CuvvDJI7xgAAAAAAAAAMFKUlJRkHT916sLXugEAXVmWZXvzWnc3ePUETXUAAAAAAIxchRyq629TncPhUDAYzPocobrCR6gOAIZQXV2dampqZFlS6/FoZ6DulmtvVzhY3Ku5wsFi3XLt7Z3ButbjUcmStmzZorq6ugF6B+iJ2tpaSVK8PSlJmj65QqFgWO+teK9cLqccDkNuX8evmUxax04e0r5Db+r4qaOKmK1KJhNKpVNKJhOKmK06fuqo9h16U8dOHlImk+5yvMvl1Hsr3qtwsEjTJ1d0nNdMdlkHAAAAAAAAAAC5YtdUl0qluOEAAHopkUgok8lkfW4gm+oIQQMAAAAAUNgKOVTX36Y6SYTqRjBCdQAwhB5//HFJktkaVzKRlt8b0I1X3iq329On+dxuj2688lb5PH4lE2mZrQlJ0qZNm3K2ZvROPB7vbIiLmylJ0pwZCyRJgYBfs2fP6Wysc3tdcrk72uZS6ZROtZ7Q4eMHtO9wg/a+9QftO9ygw8cP6FTrCaXSqY6WO7dTbq+rs6Fu9uw5CgQ6PlCbPf19Hedt7zjvK6+8wk6TAAAAAAAAAICcsgvVSR1tdQCAnuvuxrWBCtVZlqVUKtWvuQEAAAAAQH4r5FBdf5vqJCkUCmUdJ1RX+AjVAcAQaWpqUn19vSxLip4Jv115+fW9bqh7t3CwWFctukFSR1jPsqRdu3Zp//79/V0y+mDbtm2Kx+NKpzJKJtIyZOi95Rd1Ph8I+HXR/PkaM2aMJMnpcsjjc8ntccrpdMiy0nrzrVf1+12/0ptvvSrLSsvpdMjtccrjc8np6vhWPmbMGF00f35noE6SZk+/SIYMJRNppVMZxWIxbd++fXD/BQAAAAAAAAAAClpJSYntc4TqAKB3urtxLRAI9Gvu7nZn7+mNdQAAAAAAYHgq5FCd3XsjVIeeIFQHAEOkpqZGkhQ3k0qnLYUCRbq4ojInc19cUamQP6x02lLcTHY5HwZXbW2tpHfa4sonzVLQH+7yGpfLpZkzZ6ii4j0KF3U853A61J48rd/t+oXqD76k422HVH/wJf1u1y9kJk/L4ez4Fh4uCquiokIzZ86Qy+XqMm/QH1bZpJkd5z/Tknd2PQAAAAAAAAAA5MKoUaNsn2tubh68hQBAATBN0/a5gWqqk+x3dAcAAAAAAIWhp2G54Riqs7uu0d0GQ+9GqG7kIlQHAEOkoaFBkpSIdoSdLnrPQjmdru4O6TGn06WLzgT0zs5/9nwYPMlkUnV1dZKk2Jlw45wZC2xfP2rUKM2ZPVvz5s9TS/yonn9tk1raT8qyMoql22RZGbW0n9RvX9uklvhRzZs/T3Nmz9aoUfbthnOmv0+SFG/vOP/LL7+sZDKZo3cIAAAAAAAAABjp3G637Q0HNNUBQO90d+Naf0N13d1IRqgOAAAAAIDCRlNd9+yucbe3t/dpTRg+CNUBwBCwLEt79uyRJKUSGUnS1PHTc3qOqePLu8zf2Ngoy7Jyeg5077XXXpNpmsqkMkrG0zJkaPZ0+1CdJMXiUT3zws+1tf45+fxelU4o0cz5UzRvwXs1c94UlY4vkc/v1db65/TMCz9XLN79D69nQ3yJeFqZdEamaWrHjh05e48AAAAAAAAAAJSUlGQdp6kOAHqnuxvXAoFAv+bu7kaynt5YBwAAAAAAhqdCDtXRVIf+IFQHAEMgGo12fpNNJdOSpPFjJuX0HOPHTO4yfyQS4cOQQVZbWytJipkdbYFTJpQrHLRvlTt4dK8efOw+1e95VYak0GivRo8Pyu12yefzye1xafSEoEKjvTIk1e95VQ8+dp8OHt1rO2c4WKypEzoCm7H2VJd1AQAAAAAAAACQC6NHj846TlMdAPSOaZq2z/W3qa67UB1NdQAAAAAAFLZCDtUNZFMdobrCR6gOAIZAKpXq/P3Z8jiPu+ffuHvi7HznltMlk8mcngP2UqmUXnrpJUlS3Oz49z53xvuyvjaTyej32/9HP9z8fbW0Ncvpcmj0xKCCxR3/DT/+8Y/rxz/+sT7+8Y9LkoLFXo2eGJTT5VBLW7N+uPn7+v32/1Emk8k6/5wz7Xhn1/Hiiy8qnU7n7L0CAAAAAAAAAEY2QnUAkBt2N6653W45nc5+zd3d7uxszgoAAAAAQGEr5FAdTXXoD0J1ADAEXC5X5+8No+PXRDK3u/+dne/s/FLHhy0YHLt27VJbW5syaUuJWEeAbfaZcNu5TkdO6eEn1+n5l59SxsrIH3JrzKSg3F6nQqGQvvGNb+gLX/iCwuGwvvCFL+jrX/+6QqGQ3F6nxkwKyhd0K2Nl9PzLT+nhJ9epNdJy3jnmnAnzJWJpZdKW2tratGvXroF8+wAAAAAAAACAEaSkpCTreHNz8yCvBACGN7sb1wKBQL/npqkOAAAAAICRq5BDdTTVoT8I1QHAEPD7/Z3ffF3ujh0Fj508nNNzHDt5qMv8oVCoV4l79M8LL7wg6Z12uEml0zQq3PWmgjebXtd/bLxPTYcbZRiGisf6VTTWL8NhaP78+frBD36gyy+/vMsxixYt0g9+8APNmzdPhsNQcalfxWP9Mgyp6XCjHtx4r95ser3LMaPCJZpUOrXLes6uDwAAAAAAAACA/qKpDgBywzTNrON+v7/fcxOqAwAAAABg5CrkUB1NdegPQnUAMAQMw9DMmTMlSS5Pxx/FB4/ty+k5Dh5r6jL/rFmzZJxbW4cBk8lktHXrVklSzExJkubMeKelLplK6pn/e0z//ev/lBk35facaZ0LuWUYhj772c/q7rvv1tixY7POP3bsWN1zzz367Gc/K8Mw5Au5NWZSSG6PU2bc1H//+j/1zP89pmQq2XnMnDMteWfXs3XrVmUymQF5/wAAAAAAAACAkYVQHQDkht2Na7kI1RmGIY/Hk/W5nt5YBwAAAAAAhqeehuUKKVRHUx16glAdAAyRiooKSZLH75Ikvf7HV5ROp3Iydzqd0usNdV3mP3s+DLzdu3fr9OnTymQsJaNnQnVnQm3HTx3Vf236rl7eVSNJChR5NHpiQE63Q6Wlpbr33nt18803y+Ho/lu0w+HQzTffrHvvvVdjx46V0+3Q6IkBBYo6Pgh7eVeN/mvTd3X81FFJ0uwzob5kNKVMxlJLS4veeOONAXn/AAAAAAAAAICRpaSkJOt4c3PzIK8EAIY3uxvXAoFATua3u5mMpjoAAAAAAApbITfV2b03murQE4TqAGCILFmyRJLkDbjldBqKmK3aeSYI1187G+oUibbJ6TTkDbi7nA8Dr7a2VpIUN1OyJI0vmaSS4lJt2/2C/vOxb+tY82E5nIZGjw8oXOKTYRhavHixvv/972vu3Lm9OtfcuXP1gx/8QIsXL5ZhGAqX+DR6fEAOp6FjzYf1n499W9t212pM8TiNL5kk68y6zl0nAAAAAAAAAAD9QVMdAOSGaZpZx3PRVCfZ30xGUx0AAAAAAIWtkEN1NNWhPwjVAcAQKS8v17x582QYkv9Mu9hzL25WW/vpfs3b1n5az259QpIUKPLKMKT58+errKysv0tGD1iWpa1bt0qS4u1JSdL0KRXa+OxDerLm50qmk/L6XRozKSSP3yWPx6MvfelL+trXvmb7A9mFhEIhfe1rX9MXv/hFeTweefwujZkUlMfvUjKd1JM1/63Hntug6VMquqyrtrZWlmXl4F0DAAAAAAAAAEYyQnUAkBt2N67lKlRHUx0AAAAAACNTIYfqaKpDfxCqA4AhtHTpUklSsMgrt8epaNzUY89tUDKZ6NN8yWRCjz23QbFEVG6PU4EzYb2z58HAa2ho0IkTJ2RlLCViHY1wdbt+rzf27ZAhKTzap1FnmuTKy8v1L//yL/rYxz4mwzD6dV7DMHT11VfrX/7lX1ReXi6H09HRhDfaJ0PS7r2vqW7X7yVJiVhKVsbSiRMn9Mc//rGf7xgAAAAAAAAAMNKVlJRkHW9paVEmkxnk1QDA8GV341ogEMjJ/DTVAQAAAAAwMhVyqC4XTXXBYDDreHt7O9e4CxyhOgAYQpWVlVqyZIlkSEWlfjkchg4c3aufPLW+1411be2n9ZOn1uvA0b1yOAwVlfolQ6qqqtLChQsH6B3g3V544QVJUjya0tkSuHQmLafbodETgwoUdwQdr7vuOn33u9/V1KlTc3r+qVOn6rvf/a6uvfZaSVKg2KPRE4NyuhxKZ9KSJMvqWN+56wUAAABgz7Ismaap1tZWmaZJ4zMAAADwLnZNdZZl6fTp3n3eAQAjmWmaWcdpqgMAAAAAAP1RyKG6gWyqk+yv16AwuIZ6AQAw0q1YsUK7du1Sc3OzRo0PqOWYqQNH92r9z+/RVYtu0MUVlXI67f+4TqdT2tlQp2e3PqFYIiqHw9Co8QG53A6VlJRo+fLlg/huRjbLslRbWytJircnO8f9IbfCJT4ZDkPhcFh/+7d/qw984AMDtg6Px6MVK1bokksu0b/+67+qTW0aMymotuaYopFk5/p8Qbdqa2v1+c9/vt9NeQAAAEChaWpqUk1NjRoaGrRnzx5FIpHO50KhkGbOnKmKigpVVVWprKxsCFcKAAAADD27pjpJOnXqlG3oDgDQld2Na7kK1dndTEaoDgAAAACAwtbTsNxwDNXloqmuu1BdJBLp9nkMb4TqAGCIhcNhVVdXa9WqVYoootETg2o9HlUsEdUvtzyi519+UhdVVGrq+HKNHzNZHrdXiWRcx04e0sFjTXq9oU6RaJskye1xqqjUL5fboVAopOrqaoXD4SF+hyPHvn37dOzYMVkZS/FoSoZhqGiMT76QW5J00UUX6Stf+YrGjBkzKOv5wAc+oO9///v67ne/q127dqlorF8en0utJ2MdTXoZS0ePHtW+ffs0Y8aMQVkTAAAAkO/q6ur0+OOPq76+3vY1kUhEO3bs0I4dO7Rx40bNmzdPN954Iy3hAAAAGLG6C801NzdzDRoAesjuxrVAIJCT+e1uJuvpbvUAAAAAAGB4KtSmukwmo0QikfW5XDXVtbe393pdGD4I1QFAHigvL9eaNWu0evVqNTc3q2RiUGZrQmZrXJFom7bueF5buzne6TQUKPIqUOSRjI4dYaurq1VeXj5YbwGSXnjhBUlSPJqSy+NU8Vi/nG6HHA6HPvvZz+rGG2+Uw+EY1DWNHTtWd999tzZu3Kif/exn8oXccnudOn08qng01dlWxw0NAAAAGOna2tr0wAMPqKampmPAspRubVWmrU2ZaFRWPC7LsmQYhgyvVw6/X45wWM6iItXX16u+vl5VVVVavnw5m5sAAABgxCkuLpZhGLIs67znTp06NQQrAoDhyTTNrOO5aqqzC9XRVAcAAAAAQGEr1FCdXaBOym1THQoXoToAyBPl5eVat26dHnzwQW3ZskWBYo/8RR7FzaQS0ZRSiYxSybQsSzIMyeV2yuVxyON3yRtwyzA65uEmzqGzf/9+SZLT6dDoCQEZhqFx48Zp5cqVmjNnzpCty+Fw6NOf/rQuvvhiffvb39bx48c1emJAqXhGktTU1DRkawMAAADyQVNTU+cmJ7IspU6cUOrECVnJ1HmvtSxLVjSmTDQmNZ+S4XbJNXasXGPHasuWLXr99dfZ5AQAAAAjjsPh0KhRo7IG6AjVAUDP2d24lqtQnd0O7TTVAQAAAABQ2Ao1VNfd+8pVUx2husJGqA4A8kg4HNbKlStVVVWlTZs2adeuXfIF3fIF3Rc8dv78+Vq6dKkWLlw4CCtFNlOmTNFLL70kt88pSfrQhz6kL33pSwoGg0O8sg7/f/b+Pzqu+rDz/193fs9oRrIG+Qe2QTI2wrEdoLa0wW6Q0qYJJo3D7pqSnl3M6S7frtk03VMTCvVme7T6bPpxQxu8p/HJ4k9bcg50t5u49i64DXbStLESDInAIGM5oNixDLZB2B7JmtFoNL/u9w/9wMZzR7/m9zwfZ/cA98687/sSao3uvF/v18c+9jF985vf1J49e/STn/xkap433XRTkWcGAAAAFE9/f7927typSCSidCymxLlzSkfHHxLXul3atHSZVi1YoOWBgNwOh8aSSZ0Lh3VqaEhHL5zX8FhciffeV+rKFTmXL1coFNLOnTu1a9cugnUAAACoKvX19RkDdKFQqAizAYDyZLVwzefz5WR8muoAAAAAAKhOlRqqy/ZMYzZNdS6XS06nU4lE4rpzhOoqG6E6AChBra2tam1t1dmzZ9XV1aW+vj6dOnXqmh/Kfr9fq1atUnNzs9ra2tTY2FjEGUOS/s2/+Tey2+1655131N7erl/91V+VMVkhWCJqamr0+OOPa9OmTerq6tLNN9+sL37xi8WeFgAAAFAU4XBYHR0d44G6aFTxM2dkptKqcTr1wOrbtGnpMjlstmvf5HZrcU2NNixZoq3NzTp64by++9bbGomOKn76tFwrVigiqaOjQ3v27KFFHAAAAFWjvr4+43Ga6gBg5qLRaMbj+W6qI1QHAAAAAEBlm02ozjTNklv/bCXbfc0mVCeNr83P9DybUF1lI1QHACWssbFR27ZtkySZpqlYLKZEIiGn0ymPx1M2H1iqhcvlmvrfq5QZhqG7775bd999d7GnAgAAABTV008/rVAopHQsNhWou7W+Xl+6804tsFhkdjWHzaa25Tfp9oaF+tYbb+gXg4OKnzkj18qVCoVC2rt3rx577LEC3AkAAABQfMFgMONxQnUAMHNWu8HnKlRntZhspgvrAAAAAABAeZppA51pmorH47MOpBVLto2CrDYXskKorjrZpn8JAKAUGIYhr9er2tpaeb1eAnUAAAAAMA/d3d3q6uqSTFOJc+emAnVfaW2dUaDuags8Hn2ltVW31tfLTKWVOHdOMk0dOXJE3d3deboDAAAAoLRYNdWFQqECzwQAypfVAjefz5eT8a0WxNFUBwAAAABAZZvNhjozDeCVglw31WVCqK6yEaoDAAAAAABA1dm/f78kKXnpktLRUdU4nfrSnXfKbbfPaTy33a4v3XmnfE6H0tFRJS9dkiQdOHAgZ3MGAAAASplVqI6mOgCYuWg0mvF4rprqrHZop6kOAAAAAIDKVqmhulw31WVCqK6yEaoDAAAAAABAVenv71dvb69kmlPhtwdW3zbrhrqPWuDx6IurV0saD+vJNHXixAmdPXt23nMGAAAASl0wGMx4nFAdAMyc1aK1XIXqaKoDAAAAAKA6VWqojqY6zBehOgAAAAAAAFSVrq4uSVJqeFhmIqk6t1ubli7Lydibli5TrdslM5FUanj4musBQKGYpqloNKrh4WFFo1GZplnsKQEAqoBVU10oFCrwTACgfFktWvP5fDkZn6Y6AAAAAACqU6WG6qw2CrLZbHI4HLMai1BddZrdfyUAAAAAAABAmevr65MkpcNhSdLGpUvlsOVm7ymHzaZNS5fp0JkzSofDstfVTV0PAPKpv79fXV1d6uvr0+nTp6/5csfv92vlypVqbm5We3u7GhsbizhTAEClsgrV0VQHADOTSqUUj8cznqOpDgAAAAAAzEelhuqs7svtdsswjFmNVVNTk/E4obrKRqgOAAAAAAAAVcM0TZ0+fVqSlJ54ELxqwYKcXmPlxHiT4586dUqmac76gS0AzER3d7f279+v3t5ey9dEIhH19PSop6dH+/bt09q1a3X//ferpaWlgDMFAFS6YDCY8TihOgCYmWwL1nIVqrNqqiNUBwAAAABA5UokEkqlUjN+fTmF6qyeaVg9A8mGprrqRKgOAAAAAAAAVWN0dHTqgac58XB1eSCQ02vcNDHe5PiRSESxWCxnC+AAQJLC4bCefvppdXV1jR8wTaWGh5UOh5UeHZU5NjYV6DXcbtm8XtkCAdlra9Xb26ve3l61t7dr+/btCuT4z0EAQHWyaqoLh8NKJBJyOp0FnhEAlJdsC9Z8Pl9OrmHVVDeb3eoBAAAAAEB5me3v/ZUQqrN6BpINobrqRKgOAAAAAAAAVSOZTE79vWmakiS3I7ePyCbHmxxfGt/5jVAdgFzp7+9XR0eHQqGQZJpKXrqk5KVLMhPJ615rmqbM0ZjSozEpNCjD6ZCjoUGOhgYdOXJEb775pjo7O9XU1FT4GwEAVBSrUJ0kDQ0NaeHChQWcDQCUn2g0ankuV88UrBaU0VQHAAAAAEDlquRQndW90VSHmSJUBwAAAAAAgKrhuCpAZxiGTNPUWDIpzWGXMitjE8E9wzCmjtHKASBX+vv7tXPnTkUiEaVjMSXOnVM6Ov7FVq3bpU1Ll2nVggVaHgjI7XBoLJnUuXBYp4aGdPTCeQ2PxZV4732lrlyRc/lyhUIh7dy5U7t27SJYBwCYl2AwaHlucHCQUB0ATCPbgrVcheqsFpTRVAcAAAAAQOWq5FBdIZrqRkZGZj0WygehOgAAAAAAAFQNr9crv9+vSCQiw+2WORrTuXBYi2tqcnaNd8NhSZIx8ZDW7/fPaRc0APiocDisjo6O8UBdNKr4mTMyU2nVOJ16YPVt2rR0mRw227Vvcru1uKZGG5Ys0dbmZh29cF7ffettjURHFT99Wq4VKxSR1NHRoT179igQCBTl3gAA5S9bU10oFCrgTACgPGVbsObz+XJyDZrqAAAAAACoPpUcqqOpDvNlm/4lAAAAAAAAQGUwDEMrV66UJNkmdnk/NTSU02ucnhhvcvxVq1Zd01oHAHP19NNPKxQKKR2LTQXqbq2v19c++Um1Lb/p+kDdRzhsNrUtv0lf++QndWt9vcxUWvEzZ5SOxRQKhbR3794C3QkAoBL5/X7Z7faM5wYHBws8GwAoP9Fo1PJcvpvqCNUBAAAAAFC5KjlUV4imOkJ1lY1QHQAAAAAAAKpKc3OzJMk20cb08oULSqbTORk7mU7r6IXz14w/eT0AmI/u7m51dXVJpqnEuXNTgbqvtLZqwSx3Wlzg8egrra1TwbrEuXOSaerIkSPq7u7O0x0AACqdYRgKBoMZzxGqA4DpWS1YMwxDLpcrJ9ewWlA228V1AAAAAACgfMw2JFdOoTqa6jBfhOoAAAAAAABQVdra2iRJ9tpaGU6HroyNTQXh5uvohfMaHovLcDpkr6295noAMB/79++XJCUvXVI6Oqoap1NfuvNOuS0agabjttv1pTvvlM/pUDo6quSlS5KkAwcO5GzOAIDqU19fn/F4KBQq8EwAoPxYLVjz+XwyDCMn17AK1SUSCaVztOEQAAAAAAAoLTTVzQyhuupEqA4AAAAAAABVpampSWvXrpUMQ46GBknSd996W0Pz3JV9KBbTd956S5LGxzUMrVu3To2NjfOeM4Dq1t/fr97eXsk0p8JvD6y+bdYNdR+1wOPRF1evljQe1pNp6sSJEzp79uy85wwAqE5WoTqa6gBgetFoNONxr9ebs2tk26XdahEaAAAAAAAob5UcqitEU10ikVA8Hp/1eCgPhOoAAAAAAABQdbZu3SppPPxm83k1kkjoW2+8obFUak7jjaVS+tYbbyiaSMrm806F9SavAwDz0dXVJUlKDQ/LTCRV53Zr09JlORl709JlqnW7ZCaSSg0PX3M9AABmKxgMZjxOqA4Apme1YC2Xobpsu7QTqgMAAAAAoDJVcqiuEE11Em11lYxQHQAAAAAAAKpOa2ur2traJMOQc/lyGXabfjE4qG90d8+6sW4oFtM3urv1i8FBGXabnMuXS4ah9vZ2tbS05OkOAFSTvr4+SVI6HJYkbVy6VA5bbh7vO2y2qYDe5PiT1wMAYLasmupCoVCBZwIA5cdqwZrP58vZNWiqAwAAAACg+lRyqK4QTXUSobpKRqgOAAAAAAAAVemRRx5RMBiUzeORa8WKqWDdV3/yY3Wde1fJdDrr+5PptLrOvauv/uTHU4E614oVsnk8CgaD2r59e4HuBEAlM01Tp0+fliSlJ77AWrVgQU6vsXJivMnxT506JdM0c3oNAEB1sArV0VQHANOLRqMZjxeqqW62C+wAAAAAAEB5qORQHU11mC9HsScAAAAAAAAAFEMgEFBnZ6d27typiCTXypVKnDunaHRU337zhPb39WnT0mVauWCBbgoE5HY4NJZM6t1wWKeHhnT0wnkNj8UlSTafV87ly2XzeOT3+9XZ2alAIFDcGwRQEUZHR6e+pDEnvhRanuM/X26aGG9y/EgkolgsltPFuwCA6hAMBjMep6kOAKZntWAtl5/LaaoDAAAAAKD6zDYkV06hOqvA4FxCdTU1NZbnCNVVLkJ1AAAAAAAAqFpNTU3atWuXOjo6FAqF5F65UslLl5S8dEnDY3EdOnMm6/sNp0OOhgY5Ghokw1AwGFRnZ6eampoKcwMAKl4ymZz6+8n2OLcjt4/2J8e7up0ukUgQqgMAzBpNdQAwd1YL1nw+X86uQVMdAAAAAADVpxqb6rJtLGQl2zMYQnWVy1bsCQAAAAAAAADF1NTUpD179qi9vV0yDDkWLpRn9Wq5Gm+WI1gvm9cjw2ZIhmTYDNm8HjmC9XI13izP6tVyLFwoGYba29u1Z88eAnUAcspxVYDOMAxJ0thVQbtcmBxvcnxJcjqdOb0GAKA6WDXVEaoDgOlFo9GMx3O52UW2UB1NdQAAAAAAVKZKDtXlsqnOZrNZttURqqtcNNUBAAAAAACg6gUCAT322GNqb2/XgQMHdOLECdnr6mSvq5v2vevWrdPWrVvV0tJSgJkCqDZer1d+v1+RSESG2y1zNKZz4bAWW3yhMxfvhsOSJGPiyyW/3z+n3RsBALBqqguFQgWeCQCUH6sFa7kM1WX7nE9THQAAAAAAlamSQ3W5bKqTxr8nHRkZue44obrKRagOAAAAAAAAmNDa2qrW1ladPXtWXV1d6uvr06lTp655QOr3+7Vq1So1Nzerra1NjY2NRZwxgEpnGIZWrlypnp4e2bxepUdjOjU0pA1LluTsGqeHhiRJtonFuqtWrbqmtQ4AgJmyCtXFYjHFYjFC2wCQhdWCNZ/Pl7NrOBwO2Ww2pdPp687RVAcAAAAAQGWq5FBdLpvqpPH1IAMDA9cdzxS0Q2UgVAcAAAAAAAB8RGNjo7Zt2yZJMk1TsVhMiURCTqdTHo+HsAmAgmpubh4P1QUCUmhQL1+4oK3NzXLYbPMeO5lO6+iF85I0Pv7E9QAAmItgMGh5bnBwUDfeeGMBZwMA5SUajWY8nsumOml8p/ZM1yJUBwAAAABAZarkUF0+muoyoamucs3/G3cAAAAAAACgghmGIa/Xq9raWnm9XgJ1AAqura1NkmSvrZXhdOjK2NhUEG6+jl44r+GxuAynQ/ba2muuBwDAbFk11UlSKBQq4EwAoPxYLVjLdajOaqf22S6wAwAAAAAA5WG2IblyCtXlo6kuE0J1lYtQHQAAAAAAAAAAJaypqUlr166VDEOOhgZJ0nffeltD81z0OhSL6TtvvSVJ4+MahtatW6fGxsZ5zxkAUJ2yheoGBwcLOBMAKD9WC9Z8Pl9Or2O1qIymOgAAAAAAKpNV8MzhcGQ8Xk6hOprqMF+E6gAAAAAAAAAAKHFbt26VNB5+s/m8Gkkk9K033tBYKjWn8cZSKX3rjTcUTSRl83mnwnqT1wEAYC68Xq/lYgVCdQCQXTQazXg81011Vn9O01QHAAAAAEBlsvqd32qTtEoI1dFUh5kiVAcAAAAAAAAAQIlrbW1VW1ubZBhyLl8uw27TLwYH9Y3u7lk31g3FYvpGd7d+MTgow26Tc/lyyTDU3t6ulpaWPN0BAKBaWC3ECIVCBZ4JAJQXqwVruQ7V0VQHAAAAAEB1sQrVBYPBjMfLKVRndW801WGmCNUBAAAAAAAAAFAGHnnkEQWDQdk8HrlWrJgK1n31Jz9W17l3lUyns74/mU6r69y7+upPfjwVqHOtWCGbx6NgMKjt27cX6E4AAJXMKlRHUx0AZGe1YM3n8+X0OlaLygjVAQAAAABQmWbbVJdIJJRKpfI5pZyhqQ7z5Sj2BAAAAAAAAAAAwPQCgYA6Ozu1c+dORSS5Vq5U4tw5RaOj+vabJ7S/r0+bli7TygULdFMgILfDobFkUu+Gwzo9NKSjF85reCwuSbL5vHIuXy6bxyO/36/Ozk4FAoHi3iAAoCJY7W5MqA4AsotGoxmPF6qpzmqBHQAAAAAAKG+zDdVJ45v/WAXMSoVpmjTVYd4I1QEAAAAAAAAAUCaampq0a9cudXR0KBQKyb1ypZKXLil56ZKGx+I6dOZM1vcbToccDQ1yNDRIhqFgMKjOzk41NTUV5gYAABXPaiFGKBQq8EwAoLxYNdUVKlRHUx0AAAAAAJXJ6plDuYfqEomE5Tma6jBThOoAAAAAAAAAACgjTU1N2rNnj/bu3asjR47IsXChHA0NSg0PKx0OKz06KnNsTKZpyjAMGW63bF6vbIGA7LW1kmFIktrb27V9+3Ya6gAAOWW1EIOmOgDIzqqpzufz5fQ6Vju101QHAAAAAEBlmmtTXanL9iyDpjrMFKE6AAAAAAAAAADKTCAQ0GOPPab29nYdOHBAJ06ckL2uTva6umnfu27dOm3dulUtLS0FmCkAoNoEg8GMxwnVAYA10zRpqgMAAAAAAHlRqaG6bM8y5tpUV1NTk/E4obrKRagOAAAAAAAAAIAy1draqtbWVp09e1ZdXV3q6+vTqVOnrvlix+/3a9WqVWpublZbW5saGxuLOGMAQKWzWogRCoUKPBMAKB/ZFoHlOlRHUx0AAAAAANXF6nd+qw3SpPII1dFUh1wgVAcAAAAAAAAAQJlrbGzUtm3bJI23XMRiMSUSCTmdTnk8HhmGUeQZlofJhpBkMimHwyGv18u/OwCYJatQHU11AGAtGo1anvP5fDm9Fk11AAAAAABUF5rqZo5QXfUhVAcAAAAAAAAAQAUxDENerzfnjRaVqr+/f6rl7/Tp09e1/K1cuVLNzc1qb2+n5Q8AZsBqd2NCdQBgLdtCtUI11RGqAwAAAACgMlmF6hYsWGD5nnII1RWyqS4ajSqdTstms81pXJQuQnUAAAAAAAAAAKDqdHd3a//+/ert7bV8TSQSUU9Pj3p6erRv3z6tXbtW999/v1paWgo4UwAoL1a7G4dCIZmmSQMoAGRQyFCd1U7t2RaiAQAAAACA8mX1O7/X65XH48l4vhxCdYVsqpPGg3XZzqM8EaoDAAAAAAAAAABVIxwO6+mnn1ZXV9f4AdNUanhY6XBY6dFRmWNjU6EPw+2WzeuVLRCQvbZWvb296u3tVXt7u7Zv365AIFDcmwGAEmQVqksmkxoZGWHRAQBkEI1GLc/5fL6cXstqURlNdQAAAAAAVJ5UKqV4PJ7xnMfjkdfrLdtQXbYNgvIRqotEIjzfrkCE6gAAAAAAAAAAQFXo7+9XR0eHQqGQZJpKXrqk5KVLMhPJ615rmqbM0ZjSozEpNCjD6ZCjoUGOhgYdOXJEb775pjo7O9XU1FT4GwGAEhYMBi3PDQ4OsugAADIoZFOdx+PJeJymOgAAAAAAKk+2TXQmQ3WDg4PXnSuHUF22e3O5XHMac7pQHSoPoToAAAAAAAAAAFDx+vv7tXPnTkUiEaVjMSXOnVM6Ov6FYK3bpU1Ll2nVggVaHgjI7XBoLJnUuXBYp4aGdPTCeQ2PxZV4732lrlyRc/lyhUIh7dy5U7t27SJYBwBXsWqqk6RQKKSbbrqpgLMBgPJQyFAdTXUAAAAAAFSPbJvoTIbqMimHUJ3VvbndbhmGMacxCdVVH0J1AAAAAAAAAACgooXDYXV0dIwH6qJRxc+ckZlKq8bp1AOrb9OmpcvksNmufZPbrcU1NdqwZIm2Njfr6IXz+u5bb2skOqr46dNyrVihiKSOjg7t2bNHgUCgKPcGAKUmW6gu047HAAApGo1mPO52u2X76OfUebJqqiNUBwAAAABA5ankUJ3VswyrZx8zUVNTY3mOUF1lyu2TNwAAAAAAAAAAgBLz9NNPKxQKKR2LTQXqbq2v19c++Um1Lb/p+kDdRzhsNrUtv0lf++QndWt9vcxUWvEzZ5SOxRQKhbR3794C3QkAlD6n02m5my+hOgDIzGqhWq5b6iTrprpsi+wAAAAAAEB5yvb7vtfrLetQXbamurlyuVxyuVwZzxGqq0yE6gAAAAAAAAAAQMXq7u5WV1eXZJpKnDs3Faj7SmurFsxyp8oFHo++0to6FaxLnDsnmaaOHDmi7u7uPN0BAJQfq7a6UChU4JkAQHkohVAdTXUAAAAAAFQemupmz2rTOEJ1lYlQHQAAAAAAAAAAqFj79++XJCUvXVI6Oqoap1NfuvNOue32OY3nttv1pTvvlM/pUDo6quSlS5KkAwcO5GzOAFDurEJ1NNUBQGbRaDTjcZ/Pl/NrWS0so6kOAAAAAIDKky0cV+6hunw01UmE6qoNoToAAAAAAAAAAFCR+vv71dvbK5nmVPjtgdW3zbqh7qMWeDz64urVksbDejJNnThxQmfPnp33nAGgEgSDwYzHCdUBQGY01QEAAAAAgHygqW72CNVVF0J1AAAAAAAAAACgInV1dUmSUsPDMhNJ1bnd2rR0WU7G3rR0mWrdLpmJpFLDw9dcDwCqnVVTXSgUKvBMAKA8FDJUR1MdAAAAAADVw+r3fcMw5HQ6KzJUN9+mupqamozHCdVVJkJ1AAAAAAAAAACgIvX19UmS0uGwJGnj0qVy2HLz1YjDZpsK6E2OP3k9AKh2NNUBwOxEo9GMx30+X86vRVMdAAAAAADVwypU5/F4ZBhGWYfqst3bfNBUV10I1QEAAAAAAAAAgIpjmqZOnz4tSUpPfPG3asGCnF5j5cR4k+OfOnVKpmnm9BoAUI6smuoI1QFAZqXQVDc2NsZnWQAAAAAAKoxV8GzymUM5h+ry1VRHqK66EKoDAAAAAAAAAAAVZ3R0dOrLLXPiS7XlgUBOr3HTxHiT40ciEcsvJwGgmliF6kKhUIFnAgDloZChOquFZel0WslkMufXAwAAAAAAxTNdm1s5h+poqkMuEKoDAAAAAAAAAAAV5+oFwZONG26HI6fXmBzv6kaPRCKR02sAQDkKBoMZj9NUBwCZRaPRjMd9Pl/Or5Vtt3arHd4BAAAAAEB5sgrHVUKortBNdSMjI/MaF6WJUB0AAAAAAAAAAKg4jqsCdIZhSJLGcty8MTne5PiS5HQ6c3oNAChHNNUBwOwUsqku227ttC4DAAAAAFBZaKqbPZrqqguhOgAAAAAAAAAAUHG8Xu/Ul17GxI6U58LhnF7j3YnxJsf3+/3z/qIOACqBVahuaGhI6XS6wLMBgNJXyFAdTXUAAAAAAFSPSg7VFbqpjlBdZSJUBwAAAAAAAAAAKo5hGFq5cqUkyTbxheCpoaGcXuP0xHiT469ateqa1joAqFbBYDDjcdM0NTw8XODZAEDpi0ajGY/7fL6cXyvbJhCE6gAAMxGPx7Vv3z49/PDDuuOOO+T1emWz2eT1enXHHXfo4Ycf1r59+xSPx4s9VQAAgKpXyaE6muqQC4TqAAAAAAAAAABARWpubpYk2QIBSdLLFy4omaOGpGQ6raMXzl8z/uT1AKDaWTXVSVIoFCrgTACgPJRKU53VYjQAACQpkUjoySef1M0336wHHnhAzzzzjI4fP65YLCbTNBWLxXT8+HE988wzeuCBB3TzzTfrySefVCKRKPbUAQAAqpbV7/qTzxzKOVRHUx1ygVAdAAAAAAAAAACoSG1tbZIke22tDKdDV8bGpoJw83X0wnkNj8VlOB2y19Zecz0AqHbZQnWDg4MFnAkAlIdSCdXRVAcAsHLy5EndddddeuKJJzQwMDCj9wwMDOiJJ57QXXfdpZMnT+Z5hgAAAMikGpvqCNVhNgjVAQAAAAAAAACAitTU1KS1a9dKhiFHQ4Mk6btvva2heTZwDMVi+s5bb0nS+LiGoXXr1qmxsXHecwaASlBXVyfDMDKeI1QHANeLRqMZj/t8vpxfa3LRXCY01QEAMjl69Kg2btyoY8eOzen9x44d08aNG3X06NEczwwAAADTsQrHVUKozmpzoGzPPmaCUF11IVQHAAAAAAAAAAAq1tatWyWNh99sPq9GEgl96403NJZKzWm8sVRK33rjDUUTSdl83qmw3uR1AACS3W5XXV1dxnOhUKjAswGA0lfIpjqXy2V5jqY6AMBHnTx5Uvfee6+Gh4fnNc7w8LDuvfdeGusAAAAKbD5NdaZp5m1euVCMprpS/3eC2SNUBwAAAAAAAAAAKlZra6va2tokw5Bz+XIZdpt+MTiob3R3z7qxbigW0ze6u/WLwUEZdpucy5dLhqH29na1tLTk6Q4AoDzV19dnPE5THQBcr5ChOpvNZhmsI1QHALhaIpHQgw8+OO9A3aTh4WFt27ZNiUQiJ+MBAABgenMN1Uml/5yg0E11yWRS8Xh8XmOj9BCqAwAAAAAAAAAAFe2RRx5RMBiUzeORa8WKqWDdV3/yY3Wde1fJdDrr+5PptLrOvauv/uTHU4E614oVsnk8CgaD2r59e4HuBADKRzAYzHicUB0AXC8ajWY87vP58nI9qx3brRbaAQCq0+7du/X666/ndMxjx45p9+7dOR0TAAAA1uYTqrPaBKhU5KuprqamxvJcJBKZ19goPYTqAAAAAAAAAABARQsEAurs7JTf75fN55Nr5UrZfF5FE0l9+80T+sqP/lnfeestvfr++xoYGdHQ2JgGRkb06vvv6ztvvaWv/Oif9e03TyiaSMrm80683ye/36/Ozk4FAoFi3yIAlByrprpQKFTgmQBA6StkU51kvWN7qe9ADwAonHg8rqeeeiovY+/evZuGDwAAgAKxCp5NPnMo51BdoZvqJEJ1lchR7AkAAAAAAAAAAADkW1NTk3bt2qWOjg6FQiG5V65U8tIlJS9d0vBYXIfOnMn6fsPpkKOhQY6GBskwFAwG1dnZqaampsLcAACUGatQHU11AHCtRCKhZDKZ8RxNdQCAYnn++ec1MDCQl7Hff/99Pf/88/qt3/qtvIwPAACAD9FUN3uE6qoLTXUAAKBoTNNUNBrV8PCwotGoTNMs9pQAAAAAAEAFa2pq0p49e9Te3i4ZhhwLF8qzerVcjTfLEayXzeuRYTMkQzJshmxejxzBerkab5Zn9Wo5Fi6UDEPt7e3as2cPgToAyCIYDGY8TqgOAK6VbYFavprqrBaX0VQHAJh06NChsh4fAAAA46yeO1RCqI6mOuQCTXUAAKCg+vv71dXVpb6+Pp0+ffqaD5h+v18rV65Uc3Oz2tvb1djYWMSZAgAAAACAShQIBPTYY4+pvb1dBw4c0IkTJ2Svq5O9rm7a965bt05bt25VS0tLAWYKAOXNqqkuFAoVeCYAUNqKEaqzWlxGUx0AYNKrr76a1/Ffe+21vI4PAACAcTTVzZ7X65VhGBmLQgjVVR5CdQAAoCC6u7u1f/9+9fb2Wr4mEomop6dHPT092rdvn9auXav777+fhWoAAAAAACDnWltb1draqrNnz05tAHTq1KnrNgBatWqVmpub1dbWxgZAADALVqE6muoA4FrZFqj5fL68XJOmOgDAdPr6+sp6fAAAAIyr1FCdaZp5a6qz2WyqqanJGKAbGRmZ19goPYTqAABAXoXDYT399NPq6uqSJJmmNBZNKD6aVDKeVjKRkmlKhiE5nHY5XDa5vA65fU719vaqt7dX7e3t2r59uwKBQJHvBgAAAAAAVJrGxkZt27ZN0vgXcLFYTIlEQk6nUx6PR4ZhFHmGAFCegsFgxuOE6gDgWtFo1PJcoZvqCNUBACbl+2cC7agAAACFMV2ozuFwyOFwKJlMXveaUg7VJZNJpdPpjOfm21QnjW+8mSlUR1Nd5SFUBwAA8qa/v18dHR0KhUKSKY0Mj2l0OK5U6vpKZNOUEvGUEvGURiMJ2e0xeWtdqql168iRI3rzzTfV2dmppqamwt8IAAAAAACoCoZhyOv15m3xMgBUE6umulAoVOCZAEBpy7ZALV+fS60WlxFwAABMcrvdef25MN/2EAAAAMyM1We6q585eL1ehcPh615TyqG6bJtA5OKzpt/vz3icUF3lIVQHAADyor+/Xzt37lQkElEykdbwxVEl4ilJkt8b0MebW3XT4hVafMNSuZxuxRNjGrh8Qe8OnNGbfd2KjIYVGRzT2EhStQu9CoVC2rlzp3bt2kWwDgAAAAAAAABKnFWoLhwOK5lMyuHgq2oAkLIvUPP5fHm5plWojqY6AMCk5uZmHT9+PK/jAwAAIP+ma6qTKi9Ul6umukwI1VUevqkAAAA5Fw6H1dHRoUgkosRYSkMDUaXTprxunz5z1326vblVdvv1H0OCdQv1sVvu0Kf/xed1vK9bP3jleY2ORTX43ogWLPYpoog6Ojq0Z88eBQKBItwZAAAAAAAAAGAmgsGg5bmhoSE1NDQUcDYAULqi0WjG43a7XU6nMy/XtNqxnaY6AMCklpaWvIbqNmzYkLexAQAA8CGrYNxHQ3WzeW8pyPYMg6Y6zIat2BMAAACV5+mnn1YoFFIykZ4K1N285Bb9xwd26lc+tjFjoO5qdrtDv/KxjfqPD+zUzUtuUTptamggqmQirVAopL179xboTgAAAAAAAAAAc2HVVCdJoVCogDMBgNJmtUDNakFbLtBUBwCYzubNm8t6fAAAAEimac64qS6TUg7V0VSHXCFUBwAAcqq7u1tdXV0yTWn44uhUoO7B3/ySAjV1sxorUFOnB3/zS1PBuuGLo5IpHTlyRN3d3Xm6AwAAAAAAAADAfGUL1Q0ODhZwJgBQ2qwWqPl8vrxd02rHdkJ1AIBJ9913nxYvXpyXsZcsWaL77rsvL2MDAADgQ/F43PJcuYfqaKpDrhCqAwAAObV//35JUnR4TIl4Sl63T/d/5t/J6XTNaTyn06X7P/Pv5HF5lYinFB0e/5B/4MCBnM0ZAAAAAAAAAJBbgUBAdrs94zlCdQDwoWg0mvF4MZrqsi1IAwBUF5fLpUcffTQvY+/YsUMu19zWkAAAAGDmZho8K8dQHU11yBVCdQAAIGf6+/vV29sr05RGJ8Jvn7nrvlk31H1UoKZOn934LyWNh/VMUzpx4oTOnj073ykDAAAAAAAAAPLAMAzLtrpQKFTg2QBA6bJaoFaMUB1NdQCAq+3YsUPr16/P6Zjr16/Xjh07cjomAAAAMssWqrv6uUM5hupoqkOuEKoDAAA509XVJUkaiyaUSpny+2p1e3NrTsa+vblVfm9AqZSpsWjimusBAAAAAAAAAEqPVaiOpjoA+JDVAjWfz5e3a1otLqOpDgBwNafTqeeee061tbU5Ga+urk7PPfecnE5nTsYDAABAdtXaVJeLVuSampqMxwnVVR5CdQAAIGf6+vokSfHRpCTp47e2yG535GRsu92hj08E9CbHn7weAAAAAAAAAKD0BIPBjMcJ1QHAh6LRaMbjNNUBAErBmjVr9OKLL847WFdXV6fvfe97WrNmTY5mBgAAgOlkC8WVe6jOKjDodDpls80/JkVTXfUgVAcAAHLCNE2dPn1akpSMpyVJNy1ekdNr3LS46ZrxT506JdM0c3oNAAAAANczTVPRaFTDw8OKRqMl/Tm8nOYKAABQ6aya6kKhUIFnAgCly2qBWj5DdTTVAQBmY9OmTXr55Ze1fv36Ob1//fr1Onr0qDZt2pTjmQEAACCbamyqs3rmMVuE6qpHbqpjAABA1RsdHZ36sJhMpCRJi29YmtNrLL5h2TXjRyIRxWKxvH6pCAAAAFSr/v5+dXV1qa+vT6dPn77m4bDf79fKlSvV3Nys9vZ2NTY2FnGm5TVXAACAakJTHQBMz2qBms/ny9s1aaoDAMzWmjVr9Morr2j37t166qmnNDAwMO17lixZoh07dmjHjh1yOp0FmCUAAACuVsmhOqt7s3rmMVuE6qoHoToAAJATyWRy6u8niyBcztx8OJ00Od7VRROJRIJQHQAAAJBD3d3d2r9/v3p7ey1fE4lE1NPTo56eHu3bt09r167V/fffr5aWlgLOtLzmCgAAUI2smuoI1QHAh6LRaMbjxWiqI1QHAMjG6XTq8ccf1x/8wR/oG9/4hv7zf/7Plq/9i7/4C23fvl0ul6uAMwQAAMDVsoXqrg6flWOorlhNdSMjIzkZH6WDUB0AAMgJh+PDjxWGMR58iydy+8Xb5HiG8eExdjMDAAAAciMcDuvpp59WV1fX+AHTVGp4WOlwWOnRUZljYzJNU4ZhyHC7ZfN6ZQsEZK+tVW9vr3p7e9Xe3q7t27crEAgwVwAAAFiG6kKhUIFnAgCly2qBWj5DdVa7tmdbbAcAwCSXy6WNGzdmfU1bWxuBOgAAgCKz+j3f5XLJZrNN/XM5hupoqkOuEKoDAAA54fV65ff7FYlE5HDalYinNHD5goJ1C3N2jYHL5yVJDqdd0viH1lztKgEAAABUs/7+fnV0dIwvbjZNJS9dUvLSJZmJ5HWvNU1T5mhM6dGYFBqU4XTI0dAgR0ODjhw5ojfffFOdnZ1qamqq+rkCAABUu2AwmPE4TXUA8CGrBWo+ny9v17RaYEZTHQBgpqZr6KDBAwAAoPisgmcfDdGVY6iuWE110WhUqVRKdrs9J9dB8RGqAwAAOWEYhlauXKmenh45XDYl4im9O3BGH7vljpxd492BfkmSwzW+Q8aqVatkXF1bBwAAAGDW+vv7tXPnTkUiEaVjMSXOnVM6Ov5wvNbt0qaly7RqwQItDwTkdjg0lkzqXDisU0NDOnrhvIbH4kq8975SV67IuXy5QqGQdu7cqV27duU8rFZOcwUAAIB1Ux2hOgD4UDQazXg8n011VgvMaKoDAMwUoToAAIDSZxWK++hzgXIM1RWrqU4af5YTCARych0UH6E6AACQM83Nzerp6ZHL69BoJKE3f/GqPv0vPi+7ff4fOVKppN7s65YkubyOqesBAAAAmLtwOKyOjo7xkFo0qviZMzJTadU4nXpg9W3atHSZHDbbtW9yu7W4pkYblizR1uZmHb1wXt99622NREcVP31arhUrFJHU0dGhPXv25OxhcjnNFQAAAOOsQnWhUKjAMwGA0mW1QC2foTqa6gAA82UVCp/peQAAAOSfVfCsEkJ1xWqqk6RIJMLaggpim/4lAAAAM9PW1iZJcvucstsNRaLDOj4RhJuv433dioyGZbcbcvuc11wPAAAAwNw8/fTTCoVCSsdiUyG1W+vr9bVPflJty2+6PqT2EQ6bTW3Lb9LXPvlJ3VpfLzOVVvzMGaVjMYVCIe3du7cq5woAAIBxwWAw4/HR0VGCGwAwwWqBms/ny9s1rRaY8WczAGCmaKoDAAAofZUcqitmU10kEsnJNVAaCNUBAICcaWpq0tq1a2UYkrfWJUn6wSvPKzxyZV7jhkeu6Psv/19Jkq/WLcOQ1q1bp8bGxvlOGQAAAKha3d3d6urqkkxTiXPnpkJqX2lt1YJZ7t62wOPRV1pbp8JqiXPnJNPUkSNH1N09/402ymmuAAAA+JBVU50kDQ4OFnAmAFC6rJp8itFUF4/HlU6n83ZdAEDlIFQHAABQ+io5VFfspjpUDkJ1AAAgp7Zu3SpJqql1y+mya3Qsqr/7wbeVSMTnNF4iEdff/eDbisVH5XTZ5ZsI601eBwAAAMDc7N+/X5KUvHRJ6eioapxOfenOO+W22+c0nttu15fuvFM+p0Pp6KiSly5Jkg4cOFBVcwUAAMCHsoXqQqFQAWcCAKXLaoFaMUJ10niwDgCA6UwXmrMKjQMAAKBwKjlUl++mupqaGstzhOoqC6E6AACQU62trWpra5MMqXahVzaboXfe/6X+5h++NevGuvDIFf3NP3xL77z/S9lshmoXeiVDam9vV0tLS57uAAAAAKh8/f396u3tlUxzKlD2wOrbZt369lELPB59cfVqSeMBOJmmTpw4obNnz1bFXAEAAHCtYDBoeY6mOgAYZ7VAzefz5e2a2XZtt1qUBgDA1WiqAwAAKH1Wv+N/NERXjqG6fDfVOZ1Oy4AeobrKQqgOAADk3COPPKJgMCiH06YFi31Twbpvfef/1es/f1mpVDLr+1OppF7/+cv61nf+36lA3YLFPjmcNgWDQW3fvr1AdwIAAABUpq6uLklSanhYZiKpOrdbm5Yuy8nYm5YuU63bJTORVGp4+JrrVfpcAQAAcC2v12u58ICmOgAYZ9XkU6ymOqtFaQAAXG26JjpCdQAAAMU336a6ZDKpZDL7et9isXp+kaumOsm6rY5QXWVxFHsCAACg8gQCAXV2dmrnzp2KKKL6G2s0fHFUsfioXjjyt/qnn/29Pt7cqpsWN2nxDcvkcroVT4xp4PJ5vTvQrzf7uhUZDUuSnC67ahd65XDa5Pf71dnZqUAgUOQ7BAAAAMpbX1+fJCkdHv/cvXHpUjlsudl/y2GzadPSZTp05ozS4bDsdXVT16v0uQIAAOB69fX1ev/99687TlMdAIyz2vU9n6G6bLu2E6oDAMwETXUAAAClz+qZw0xDdZNjlOKa3ZkGBufD7/dn3ByOUF1lIVQHAADyoqmpSbt27VJHR4dCoZCCN9YoOhxXdHhMkdGwXu75J72c5f12uyFfrVu+WpdkSMFgUJ2dnWpqairULQAAAAAVyTRNnT59WpKUnniIvmrBgpxeY+XEeJPjnzp1SqZpyjCMWY1TTnMFAABAZsFgkFAdAFhIp9OWi8B8Pl/erptt13ar+QAAcLXpQnPTNdkBAAAg/+bbVCeVbqiuEE11fr8/43FCdZUlN1s6AwAAZNDU1KQ9e/aovb1dMiRfnUs3LA+obqFXXr9TTpddk+tUDWO8lc7rd6puoVc3LA/IVzceqGtvb9eePXsI1AEAAAA5MDo6OvWQ15x40Lw8xw/Bb5oYb3L8SCQyp0V55TRXAAAAZFZfX5/xeKYdfgGg2mT7/ZOmOgBAKaOpDgAAoPTlKlRXigrVVJcJobrKQlMdAADIq0AgoMcee0zt7e06cOCATpw4IU+NU54a57TvXbdunbZu3aqWlpYCzBQAAACoDslkcurvTdOUJLkduX1MODne5PiSlEgkZr0gsJzmCgAAgMysQnU01QFA9oVp+fy9lKY6AMB8EaoDAAAofZUcqqOpDrlCqA4AABREa2urWltbdfbsWXV1damvr0+nTp265sOl3+/XqlWr1NzcrLa2NjU2NhZxxgCqlWmaGh0dVTKZlMPhkNfrlTFZqwkAQAVwXBVKMwxDpmlqLJmUcvhweWwiDHf1z1Cnc/qNNT6qnOYKAACAzILBYMbjhOoAIPvCNJ/Pl7frZltgRlMdAGAmotFo1vOE6gAAAIrPKlT30RBdOYbqitlUx2fdykKoDgAAFFRjY6O2bdsmaTy4EovFlEgk5HQ65fF4CK4AKIr+/v6pwO/p06evC/yuXLlSzc3Nam9vJ/ALACh7Xq9Xfr9fkUhEhtstczSmc+GwFtfU5Owa74bDkiRjYpGe3++f08PrcporAAAAMrNqqguFQgWeCQCUnmyBhHw21TkcDtlsNqXT6evO0VQHAJiJ6RYSTxe6AwAAQP7RVDc/NNVVB0J1AACgaAzDkNfrzeuXggCQTXd3t/bv36/e3l7L10QiEfX09Kinp0f79u3T2rVrdf/996ulpaWAMwUAIHcMw9DKlSvV09Mjm9er9GhMp4aGtGHJkpxd4/TQkCTJNvFZf9WqVXPaQKOc5goAAIDMrEJ1NNUBQPaFafn8/swwDLnd7ozXp6kOADAT04XqaO8AAAAoPqvnDh8N1bndbhmGIdM0ZzxGsVkFBgnVYbYI1QEAAACoOuFwWE8//bS6urokSaYpXRlNKBxLaDSR0lgirbRpymYYcjtt8jrtCnicqvM61dvbq97eXrW3t2v79u0KBAJFvhsAAGavubl5PKgWCEihQb184YK2NjfLYbPNe+xkOq2jF85L0vj4E9erhrkCAADgesFgMONxQnUAkH1hms/ny+u1PR4PoToAwJwRqgMAACh9M22qMwzD8jlBqYbqrJ5ffPTe5oNQXXWY/8oTAAAAACgj/f39+vKXv6yuri6ZpvRBOKaT7w3r7OURhUbiGo2nlJ7YdSdtmhqNpxQaievs5RGdfG9YH4RjMk3pyJEj+vKXv6z+/v7i3hAAAHPQ1tYmSbLX1spwOnRlbGwqXDZfRy+c1/BYXIbTIXtt7TXXq/S5AgAA4HpWTXWhUKjAMwGA0hONRi3P5XIRWCZWO7dbLbgDAOBq04Xmsv2MAwAAQGHMNFQnSV6vN+NrSzVUR1MdcoWmOgAAAABVo7+/Xzt37lQkElEskdI7oahG4ylJkssX0I2rN2jB0ib5G5bK7nQplYgrcumChi706723XlM8GtZ7QzENRRO6OehTKBTSzp07tWvXLjU1NRX35gAAmIWmpiatXbtWvb29cjQ0KPHe+/ruW2/r9oaFWjCPRXtDsZi+89ZbkiRHQ4NkGFq3bp0aGxurYq4AAAC4nlWobnBwUKZpyjCMAs8IAEqH1cI0j8eT9z8frRaZ0VQHAJhOKpWa9ucFTXUAAADFV8mhOprqkCs01QEAAACoCuFwWB0dHYpEIhoZS+rUBxGNxlNyeHxa85kv6u6H/1jNbV/QolW3y7egQe6aWvkWNGjRqtvV3PYF3f3wH2vNZ74oh8en0XhKpz4YHycSiaijo0PhcLjYtwgAwKxs3bpV0nigzObzaiSR0LfeeENjqdScxhtLpfStN95QNJGUzecdD6pddZ1qmSsAAACuFQwGMx5PJBK0VwCoelYL03w+X96vbbXIjKY6AMB0ZvI5nlAdAABA8Vn9jp8pQFduoTqa6pArhOoAAAAAVIWnn35aoVBIsURKZy6NKJU2tWDpCm168A+1bO0nZLNnL/K22R1atvYT2vTgH2rB0hVKpU2duTSiWCKlUCikvXv3FuhOAADIjdbWVrW1tUmGIefy5TLsNv1icFDf6O7W0CwX0A3FYvpGd7d+MTgow26Tc/lyyTDU3t6ulpaWqporAAAArmXVVCdJoVCogDMBgNJjFUqwWsiWSzTVAQDmaiaBuWQyqXg8XoDZAAAAwApNdfNDqK46EKoDAAAAUPG6u7vV1dUl05TeCUWnAnXr/9V2uf11sxrL7a/T+n+1fSpY904oKtOUjhw5ou7u7jzdAQAA+fHII48oGAzK5vHItWLFVFjtqz/5sbrOvatkOp31/cl0Wl3n3tVXf/LjqZCaa8UK2TweBYNBbd++vSrnCgAAgA9lC9UNDg4WcCYAUHqsFqYVIlRntciMUB0AYDozbaGjmRoAAKC4rJ47lHuoLpVKKZlMZjxHUx1mK3sVAwAAAABUgP3790uSLkZiGo2n5PD4dPvnHpLd6ZrTeHanS7d/7iEdfe5JjY6N6mJkTIsCbh04cECtra25nDoAAHkVCATU2dmpnTt3KiLJtXKlEufOKRod1bffPKH9fX3atHSZVi5YoJsCAbkdDo0lk3o3HNbpoSEdvXBew2Pjuw3bfF45ly+XzeOR3+9XZ2enAoFAVc4VAAAAHyJUBwDWrBam+Xy+vF/bapGZ1S72AABMmmmobmRkRAsWLMjvZAAAAGCpUpvqsm0IlMumupqamozHI5GITNOUYRg5uxaKh1AdAAAAgIrW39+v3t5emaZ0MTy+kL757i2zbqj7KLe/Ts1tX9DJH3xHF8NjWuh368SJEzp79qwaGxtzMXUAAAqiqalJu3btUkdHh0KhkNwrVyp56ZKSly5peCyuQ2fOZH2/4XTI0dAgR0ODZBgKBoPq7OxUU1NTVc8VAAAA41wul2pqajIuvA2FQkWYEQCUDqsGH5rqAAClbKYNdDMN3wEAACD3ksmkUqlUxnPlHqrLtiFQIZrqUqmUxsbGchrgQ/HYij0BAAAAAMinrq4uSdKV0YSSqbRcNQHduHpDTsa+cfUGuXwBJVNpDccS11wPAIBy0tTUpD179qi9vV0yDDkWLpRn9Wq5Gm+WI1gvm9cjw2ZIhmTYDNm8HjmC9XI13izP6tVyLFwoGYba29u1Z8+evIbUymmuAAAAGBcMBjMep6kOQLWzWphWiFAdTXUAgLmaTVMdAAAAiiPb7/flHqorVFOdVahOGm+rQ2WgqQ4AAABARevr65MkhSdCbzfetkE2e25+FbLZHbpx9QadPfYjDY8mVOd1Tl0PAIByEwgE9Nhjj6m9vV0HDhzQiRMnZK+rk71u+nbXdevWaevWrWppaSnATMtrrgAAAJDq6+v17rvvXnecUB2Aame1MM3n8+X92lahOprqAADTmWlYbqaNdgAAAMi9bKG6TAG6cgrVFbupThoP1TU0NOTsWigeQnUAAAAAKpZpmjp9+rQkaTQxXme/YGlTTq9Rd2PTNeOfOnVKpmnKMIycXgcAgEJpbW1Va2urzp49q66uLvX19enUqVPX7LTm9/u1atUqNTc3q62tTY2NjcwVAAAAlurr6zMeD4VCBZ4JAJQWq7BBIZrqrHZup6kOADAdmuoAAABKH01185ctVMdn3cpBqA4AAABAxRodHZ1aVD+WSEuS/A1Lc3qNwMKl14wfiUQUi8UKsugBAIB8amxs1LZt2ySNB9VjsZgSiYScTqc8Hk9JBcjLaa4AAADVKBgMZjxOUx2Aame1MK0Qz5dpqgMAzBWhOgAAgNKXLQxXyaG6QjbVoTIQqgMAAABQsZLJ5NTfp01TkmR3unJ6jcnxJseXpEQiQagOAFBRDMOQ1+sti59v5TRXAACAamHVVEeoDkC1s1qY5vP58n5tq53bCdWVhng8rueff16HDh3Sq6++qr6+Po2Njcntdqu5uVktLS3avHmz7rvvPrlcuf3eAwCmM9OwnFUjKwAAAPKvkpvqZntvc+X1emUYhsyr1gVOIlRXOQjVAQAAAKhYDseHv/LYDENp01QqEc/pNSbHs13VgON0OnN6DQAAAAAAgHJmFaoLhUIFngkAlBarsEExm+qyLUxD/iUSCe3evVtPPfWUBgYGrjsfi8V0/PhxHT9+XM8884wWL16sRx99VDt27OC7CQAFM9OwHE11AAAAxVPJobpCNdUZhiG/369wOHzdOUJ1lcNW7AkAAAAAQL54vd6pGna3c/zXn8ilCzm9RvjihWvG9/v9Od3xBgAAAAAAoNwFg8GMx2mqA1DtrBamFTNUR1Nd8Zw8eVJ33XWXnnjiiYyBukwGBgb0xBNP6K677tLJkyfzPEMAGDfTsByhOgAAgOKp5FCd1b05HA7Z7facXmty7eFHEaqrHITqAAAAAFQswzC0cuVKSZLXOf4L89CF/pxe48p7/deMv2rVKhlXtdYBAAAAAABUO6umOkJ1AKqd1cI0n8+X92tbbQ5HU11xHD16VBs3btSxY8fm9P5jx45p48aNOnr0aI5nBgDXI1QHAABQ+rIFzxwOx3XHrZ4TlGKozmpDoFy21E0iVFf5CNUBAAAAqGjNzc2SpIDHKUl67+3XlE4lczJ2OpXUe2+9Jkmq9TqvuR4AAAAAAADGWYXqQqFQgWcCAKUlGo1mPE5TXXU5efKk7r33Xg0PD89rnOHhYd1777001gHIu5mG5ax+zgEAACD/rEJ1VuG5Smiqs7q3+SBUV/kI1QEAAACoaG1tbZKkOq9TDrtN8ZHwVBBuvt576zXFo2E57DbVToT2Jq8HAAAAAACAccFgMOPxoaEhpdPpAs8GAEqH1cK0QoTqrBaaEaorrEQioQcffHDegbpJw8PD2rZtmxKJRE7GA4BMaKoDAAAofVbPHCohVEdTHXKJUB0AAACAitbU1KS1a9fKMKSFAZckqe/HBzUWuTKvccciV9TX9YIkaWHALcOQ1q1bp8bGxnnPGQAAAAAAoJJYNdWl02mFw+ECzwYASofVwjSfz5f3a1stNLPa7R35sXv3br3++us5HfPYsWPavXt3TscEgKvNtIGOUB0AAEDxVGNTHaE6zAWhOgAAAAAVb+vWrZKkhX6PvC67krGojn/vWaUS8TmNl0rEdfx7zyo5Niqvy66Ffvc11wEAAAAAAMCHrEJ1khQKhQo4EwAoLVahhEI01VktNKOprnDi8bieeuqpvIy9e/duxeNz+w4EAKZDUx0AAEDpq+RQndWzC6t7m4+ampqMxwnVVQ5CdQAAAAAqXmtrq9ra2mQY0s1Bn+w2Q0MXzujY/9k768a6scgVHfs/ezV04YzsNkM3B30yDKm9vV0tLS15ugMAAAAAAIDyFQwGLc8NDg4WcCYAUFqsFqYVIlRntdCMprrCef755zUwMJCXsd9//309//zzeRkbAGYalptpox0AAAByL1ehulgsJtM0czavXKCpDrlEqA4AAABAVXjkkUcUDAblcdq1oqFmKlh39Lkndb73p0qnklnfn04ldb73pzr63JNTgboVDTXyOO0KBoPavn17ge4EAAAAAACgvNTV1VmeI1QHoFqZpmkZqvP5fHm/Pk11xXfo0KGyHh9A9aKpDgAAoPTlKlSXbaxiKWRTHaG6yuco9gQAAAAAoBACgYA6Ozu1c+dOSRGtWuTXO6GoRsdGdfIH39Gpl76nG1dvUN2NTQosXCq706VUIq7wxQu68l6/3nvrNcWjYUmS12XXzUGfPE67/H6/Ojs7FQgEinuDAAAAAAAAJcput6uurk5Xrly57lwoFCrCjACg+BKJhFKpVMZzNNVVh1dffTWv47/22mt5HR9A9SJUBwAAUPqsfr+3euaQ7VnE6OhoQZ5VzBRNdcglQnUAAAAAqkZTU5N27dqljo4OhUIh3boooIuRMV0MjykeDevssR9lfb/DbtPCgFsL/W4ZhhQMBtXZ2ammpqaCzB8AAAAAAKBcBYPBjKE6muoAVCurljqpMKE6muqKr6+vr6zHB1C9otHojF5HqA4AAKB4rJ47zKWpLtszjGKgqQ65ZCv2BAAAAACgkJqamrRnzx61t7fLMKRFAbfW3FirpoYaBWtc8rrsshmGJMlmGPK67ArWuNTUUKM1N9ZqUWA8UNfe3q49e/YQqAMAAAAAAJiB+vr6jMcJ1QGoVtkWpPl8vrxf32qhWTqdVjKZzPv1kf8AI62DAPJlpmG5mYbvAAAAkHtWvxNWQqiuFJrq2ECictBUBwAAAKDqBAIBPfbYY2pvb9eBAwd04sQJ1XmdqvM6p33vunXrtHXrVrW0tBRgpgAAAAAAAJXBKlQXCoUKPBMAKA3ZggbFbKqTxhenWS0aQ+643e68Bt/ysUM/AEgzX0DMQmMAAIDiqeRQHU11yCVCdQAAAACqVmtrq1pbW3X27Fl1dXWpr69Pp06duuaXXr/fr1WrVqm5uVltbW1qbGws4owBAAAAAADKUzAYzHicpjoA1SrbgrRih+rGxsYI1RVAc3Ozjh8/ntfxASDX4vH4jBtNCdUBAAAUTyWH6kqhqY5QXeUgVAcAAACg6jU2Nmrbtm2SJNM0FYvFlEgk5HQ65fF4ZBhGkWcIAAAAAABQ3miqA4BrZVuQ5vP58n79bLu357M9DR9qaWnJa6huw4YNeRsbQPWaTVAuGo3KNE2+awUAACiCSg7V0VSHXLIVewIAAAAAUEoMw5DX61Vtba28Xi9f8gAAAAAAAOSAVaiOpjoA1SoajVqeK4WmOuTf5s2by3p8ANUp28+vj0qlUorH43mcDQAAAKxYheqsnjk4HA45HJk7u0otVFcKTXWjo6NKpVI5vx4Kj1AdAAAAAAAAAAAAACCvgsFgxuOE6gBUK6sFadkWseVStt3bCdUVxn333afFixfnZewlS5bovvvuy8vYAKrbbJrq5vJ6AAAA5IbVc4dszwOsAnelFqorhaY6ic+6lYJQHQAAAAAAAAAAAAAgr6ya6kKhUIFnAgClwWpBms/nK8j1s+3ebrXjO3LL5XLp0UcfzcvYO3bskMvlysvYAKoboToAAIDyYPW7fSWH6grZVCdJkUgk59dD4RGqAwAAAAAAAAAAAADklVWojqY6ANUqGo1mPG61gC3Xsi00o6mucHbs2KH169fndMz169drx44dOR0TACbNNiRn9fMOAAAA+VXJobq53NtcEaqrfITqAAAAAAAAAAAAAAB5FQwGMx4fHh5WMpks8GwAoPisFqSVQqiOprrCcTqdeu6551RbW5uT8erq6vTcc8/J6XTmZDwA+Cia6gAAAMpDJYfqCtlUV1NTY3mOUF1lIFQHAAAAAAAAAAAAAMgrq6Y6SRoaGircRACgRFgtSPP5fAW5vs1mswxe0VRXWGvWrNGLL74472BdXV2dvve972nNmjU5mhkAXG+2zXOE6gAAAIqjkkN1hWyqI1RX+QjVAQAAAAAAAAAAAADyyqqpTpIGBwcLOBMAKA1WoYRCNdVJ1ovNCNUV3qZNm/Tyyy9n/XmZzfr163X06FFt2rQpxzMDgGvRVAcAAFAerIJn2Z47lEuorpBNdU6n03JcQnWVgVAdAAAAAAAAAAAAACCvsjXVEaoDUI2sFqQVMlRntSjMauEd8qu5uVmmac76fb/927+tV155hYY6AAUx25DcbJvtAAAAkBtWzx1oqps9v9+f8TihuspAqA4AAAAAAAAAAAAAkFeBQEB2uz3juVAoVODZAEDxWS1I8/l8BZsDTXWl5eWXX7YMmrtcLsv3OZ1OOZ3OfE0LAK5BUx0AAEB5mEvwrFxCdYVsqpMI1VU6QnUAAAAAAAAAAAAAgLwyDMOyrY6mOgDVyKq5h6a66nXw4MGMx71er4aGhvR7v/d7Gc8fPnxY6XQ6n1MDgCmE6gAAAMpDJYfqrO6t0KE6PutWBkJ1AAAAAAAAAAAAAIC8I1QHAB+yWpBWCqE6muqKwypU95nPfEZer1ebN2/OeP6DDz7QG2+8kceZAcCHrELhuXo9AAAA5i+dTisej2c8VwmhOqvnFtnubT5oqqtshOoAAAAAAAAAAAAAAHlnFaoLhUIFngkAFJ/VgjSfz1ewOVgtNqOprvBOnTqlt956K+O5LVu2SJI+9alPyel0ZnzNoUOH8jY3ALgaTXVA+YrH49q3b58efvhh3XHHHfJ6vbLZbPJ6vbrjjjv08MMPa9++fZYhDABA+ci2WU65h+qyBQYL3VRHqK4yEKoDAAAAAAAAAAAAAORdMBjMeJymOgDVyKq5h6a66mTVUidJv/mbvylpfBHf3XffnfE1hOoAFAqhOqD8JBIJPfnkk7r55pv1wAMP6JlnntHx48cVi8VkmqZisZiOHz+uZ555Rg888IBuvvlmPfnkk0okEsWeOgBgjrJtlpPtuUM5hOqyhb9pqsNcEKoDAAAAAAAAAAAAAOSdVVMdoToA1chqQVohQ3VWi80I1RWeVaiutbVVN95449Q/b968OePrjh49qitXruRlbgBwNUJ1QHk5efKk7rrrLj3xxBMaGBiY0XsGBgb0xBNP6K677tLJkyfzPENgdmhcBGYmW6iu3Jvqst0bTXWYC0J1AAAAAAAAAAAAAIC8swrVhUKhAs8EAIrPakGaz+cr2BysFptlW6CG3BscHFRXV1fGc1u2bLnmn61CdalUSv/0T/+U87kBwEfNNiRn1cwKIP+OHj2qjRs36tixY3N6/7Fjx7Rx40YdPXo0xzMDZo/GRWB2soXgyj1Ul20jIJrqMBeE6gAAAAAAAAAAAAAAeRcMBjMep6kOQDWyChkUsqnOKlRHU11hHTp0SKlUKuO5j4bq1q1bp6VLl1qOAwD5NtuQHE11QHGcPHlS9957r4aHh+c1zvDwsO69914a61BUNC4Cs0dTXW4RqqtshOoAAAAAAAAAAAAAAHln1VRHqA5ANbJakFbIUJ3VQjqa6grr4MGDGY/fdNNNuuOOO645ZhiGZVvdoUOHZJpmzucHAFebbUiOUB1QeIlEQg8++OC8A3WThoeHtW3bNhq/UBQ0LgJzU8mhOprqkGuE6gAAAAAAAAAAAAAAeWcVqguFQgWeCQAUn9WCNJ/PV7A50FRXfIlEQi+++GLGc5///OdlGMZ1x++5556Mr3/nnXf01ltv5XR+APBRViG5mpqaWb0eQP7s3r1br7/+ek7HPHbsmHbv3p3TMYHp0LgIzF0lh+poqkOuEaoDAAAAAAAAAAAAAORdMBjMeJymOgDVKBqNZjxeCk11hOoK56WXXtLQ0FDGc1u2bMl4/Dd+4zdks2Ve8nXo0KFcTQ0AMrIKyS1atCjjcaufdwDyIx6P66mnnsrL2Lt371Y8Hs/L2MBH0bgIzI9V8MwwDLlcLsv3lUOorhhNdVYbSBCqqwyE6gAAAAAAAAAAAAAAeWfVVBeNRglwAKg6VgvSChmqs9rBPduu78itgwcPZjxeU1OjX/u1X8t4LhgM6hOf+ETGc4cPH87Z3AAgk9mG6miqAwrr+eef18DAQF7Gfv/99/X888/nZWzgo2hcBObH6vd6j8eTsRF9UjmE6miqQ64RqgMAAAAAAAAAAAAA5J1VqE6irQ5A9bFakObz+Qo2B5rqis8qVPfZz3426w77mzdvznj8yJEjJbXYEUDlsWqeW7hwYcbjhOqAwsp3ay2tuCgEGheB+bP6vXC6JrdyCNVZPbOw2WxyOBx5uSahuspGqA4AAAAAAAAAAAAAkHfBYNDyHKE6ANUklUpZLgKjqa56vP322/rFL36R8dyWLVuyvtcqVBeLxXTkyJF5zw0AMjFN0zIkR6gOKA2vvvpqXsd/7bXX8jo+ING4CORCtqa6bKyeSaRSKSUSiXnPKxesnqe43e6sLXzzkS1UZ5pmXq6JwiFUB0wwTVPRaFTDw8OKRqP8AQcAAAAAAAAAAADkEE11ADAuW2itFEJ1NNUVhlVLnWEY+s3f/M2s792wYYNlWJ0GGQD5EovFLNfULVq0KONxq2Y7APnR19dX1uMDEo2LQC7kOlQnlU5b3VzvbT6sQnXpdJqNiSpAfvoNgTLR39+vrq4u9fX16fTp09dUcPr9fq1cuVLNzc1qb29XY2NjEWcKAAAAAAAAAAAAlDev1yuXy6V4PH7duVAoVIQZAUBxZFuI5vP5CjYPqwVnLAgrDKtQ3Sc+8QnLcMoku92uz372s/rf//t/X3eORcIA8iVb61y2pjrTNPPWGgLgWvneHIHPiSgEGheB+ctXqK62tnZe88qFbE11+WIVqpPGP+8WcoMk5B6hOlSl7u5u7d+/X729vZaviUQi6unpUU9Pj/bt26e1a9fq/vvvV0tLSwFnCgAAAAAAML2f/vSneu2117RhwwZ94hOfKPZ0AAAAgIwMw1AwGNT7779/3Tma6qpTPB7X888/r0OHDunVV19VX1+fxsbG5Ha71dzcrJaWFm3evFn33XefXC5XsacL5Ey21h6a6qrD5cuX9dJLL2U8t2XLlhmNsXnz5oyhurffflv9/f1qamqazxQB4DrZQnVWYWDTNBWLxVhoDBSI2+3Oa/Atny1AwCQaF4H5s/pZMN1nMprqMssWqotEImpoaMjbtZF/hOpQVcLhsJ5++ml1dXVJ+vCX9lgspkQioWQyObUzjsPhkNPplMfjkcfjUW9vr3p7e9Xe3q7t27crEAgU+W4AAAAAAADGd1P82te+Jkl68cUX1dnZqfXr1xd5VgAAAEBm9fX1hOqgRCKh3bt366mnntLAwMB152OxmI4fP67jx4/rmWee0eLFi/Xoo49qx44dcjqdRZgxkFvZFqIVMnRgteCMUF3+vfjii0qlUhnPzTRU99nPftby3OHDh7V9+/Y5zQ0ArGQLhWdr2IxGo4TqgAJpbm7W8ePH8zo+kG80LgLzl6+mulJQak11kUgkb9dFYdiKPQGgUPr7+/XlL39ZXV1dMk1T4XBYAwMDCoVCikajSiQSMk1T0njYLpFIKBqNKhQKaWBgQOFwWKZp6siRI/ryl7+s/v7+4t4QAAAAAACApBdeeEGSZCYS1/wzAAAAUIrq6+szHg+FQgWeCYrl5MmTuuuuu/TEE09kDNRlMjAwoCeeeEJ33XWXTp48mecZAvmXLZTg8/kKNg+rBWcsMs2/gwcPZjze2NiodevWzWiMG2+8UXfeeWfGc4cOHZrr1ADAUramuoULF87pfQByq6WlJa/jb9iwIa/jA1J+gzESjYuoDlYBuEoI1ZViUx3KG6E6VIX+/n7t3LlToVBIiURCFy9e1PDwsFKplHw+n1paWnTffffp4Ycf1n/8j/9RDz/8sO677z61tLTI5/MplUppeHhYFy9eVCKRUCgU0s6dOwnWAQAAAACAoopEIurp6ZEkJc6flyS98cYbPLgFAABAyQoGgxmP01RXHY4ePaqNGzfq2LFjc3r/sWPHtHHjRh09ejTHMwMKq1Sa6qwWq9JUl1/xeNwy9LZlyxYZhjHjsTZv3pzx+A9/+EPF4/E5zQ8ArBCqA0qf1WeDchkfkPLfiEjjIqoBTXW55fF4ZLNljl6xNqP8EapDxQuHw+ro6FAkElE8Hp8Kxnk8Ht1zzz3avn27PvWpT+nWW29VfX29ampqVF9fr1tvvVWf+tSntH37dt1zzz3yeDxTgbx4PK5IJKKOjg6Fw+Fi3yIAAAAAAKhSP/3pT5VKpZSOxZQaDo//NZXSz372s2JPDQAAAMjIqqmOUF3lO3nypO69914NDw/Pa5zh4WHde++9NNahrFktRDMMI++tDFezWkxHU11+/fjHP7b8s3DLli2zGuuee+7JeDwcDuvll1+e9dwAIBurcJzL5VJtbe2s3wcg9+677z4tXrw4L2MvWbJE9913X17GBq5G4yIwf3MN1bndbsuNXkolVGd1b/l8nmIYhmVbHaG68keoDhXv6aefnmqou3TpkkzT1LJly/Q7v/M7+vjHPy673Z71/Xa7XR//+Mf1O7/zO1q2bJlM09SlS5emGuv27t1boDsBAAAAAAC41mQ7Q+rKlWv+SmsDAAAASpVVqC4UChV4JiikRCKhBx98cN6BuknDw8Patm2bEolETsYDCi0ajWY87vV6Z9VSNl801RXHwYMHMx4PBAJqb2+f1VibNm2yXNhn1YYHAHNlFY6rqalRTU2N5fusfu4ByD2Xy6VHH300L2Pv2LFDLpcrL2MDV6NxEZi/uYbqDMOwfE2phOqsnllMd2/zRaiuchGqQ0Xr7u5WV1eXTNPU4ODgVKDu/vvvt/yDzYrf79f9998/FaybHO/IkSPq7u7O0x0AAAAAAABkNjo6qtdff12SlJ4I003+9dixYyXzUBsAAAC4WjAYzHicprrKtnv37qnfX3Ll2LFj2r17d07HBArF6nd2r9db0HlYLTiLx+MyTbOgc6kWpmlahuruueeeWe+s73K59OlPfzrjucOHD896fgCQjVU4rqamRg6HwzJsQ1MdUFg7duzQ+vXrczrm+vXrtWPHjpyOCVihcRGYv7mG6iTrZxOlsv6gGE11EqG6SkaoDhVt//79ksb/sEokEvJ4PNqyZYucTuecxnM6ndqyZYvcbrcSicTUL/wHDhzI2ZwBAAAAAABmoru7W4lEQumxMaVj47uxpWNjSo+NKZFI6NVXXy3yDAEAAIDrWTXVEaqrXPF4XE899VRext69e7fi8XhexgbyyWohms/nK+g8si04o60uP37+85/rl7/8ZcZzW7ZsmdOYVk0br7/+ut5///05jQkAmWRrqrv6rzN9H4D8cDqdeu6551RbW5uT8erq6vTcc8/Ned0tMFs0LgLzZxU8m8lmPqUeqitWU53VZ11CdeWPUB0qVn9/v3p7e2Wa5tQv5u3t7bNuqPsov9+vT33qU5LG/xA0TVMnTpzQ2bNn5ztlAAAAAACAGTt69KikD9vpJk3+8+R5AAAAoJRYNdWFQqECzwSF8vzzz2tgYCAvY7///vt6/vnn8zI2kE9WTT+FbqojVFd4Vi11NptNn/vc5+Y05j333GN57vvf//6cxgSATKzCcZOhcKtwOKE6oPDWrFmjF198UYFAYF7j1NXV6Xvf+57WrFmTo5kBM0PjIjA/VgE4murmjqa6ykWoDhWrq6tL0vgfnKlUSjU1NTn7YL9mzRr5fD6lUqmpP5gnrwcAAAAAAJBvY2NjU010qYkQ3ar6Bdf8c3d3NwvgAAAAUHKyNdWZplng2aAQDh06VNbjA/lgtRCt0KG6bIvprBapYX6sQnUbN25UQ0PDnMZcsWKFmpubM57jz0gAuTTXpjqrMDmA/Nq0aZN+93d/d87vX79+vY4ePapNmzblcFbAzNC4CMyP1e/0lRCqK1ZTHaG6ykWoDhWrr69P0oc/FD72sY/JbrfnZGy73T4V0Jscf/J6AAAAAAAA+fbaa69pbGxMZjyu9GhMNsPQv1/3cRmGlB6NyYzHNTY2pmPHjhV7qgAAAMA1rEJ18XicxbYVanJDkHx57bXX8jo+kA9WC9GsGn7yhaa6wrp48aKOHj2a8dyWLVvmNfbmzZszHv/+97+vVCo1r7EBYNJcQ3U01QHFYZrmnAL2S5Ys0de//nW98sorNNShqCYbF+cbrKNxEdWokkN1NNUh1wjVoSKZpqnTp09LkhKJhCRp2bJlOb3G0qVLrxn/1KlT7J4JAAAAAAAKYnIB1mQr3W3Bet3o92t1MHjNcauFWgAAAECxBCc+s2YyODhYwJmgUPK9OSmbn6IcWYWIaaqrbN/73vcs15XkK1R3+fJlNl0CkDNWP78I1QGl6fXXX9fJkydn/PqVK1fqu9/9rs6ePavHH3+cRi+UhE2bNunll1/W+vXr5/R+GhdRrSo5VEdTHXKNUB0q0ujo6NQfUMlkUpLU0NCQ02ssXLjwmvEjkQgPlQEAAObBNE1Fo1ENDw8rGo2yYQEAABYSiYS6u7slSakrw5KkliVLJEkbFo//NTU8fvxnP/vZ1IZAAAAAQCmwaqqTCNVVqny3XfEdLcqR1UK0QofqaKorrIMHD2Y8fsstt+hjH/vYvMZub2+3/N9zLg01AJDJdE11Vo2rNFIDxfHss8/O6vWrVq3Sb/3Wb8nlcuVpRsDcrFmzRq+88oq+/vWva/HixTN6D42LqHaVHKortaY6NpAof45iTwDIh8mgm6Spxdi5/qA/Od7Vi70TiUTBH3IDAACUs/7+fnV1damvr0+nT5++ZucWv9+vlStXqrm5We3t7WpsbCziTAEAKB1vvPHGeAA9kVB6NCrDkNYvGv8CacPixfqbkyeVnjgfjUbV09OjlpaWIs8aAAAAGJctVBcKhQo4ExSK2+3Oa/At37tQA/lgtRDNKoyQL9n+74dQXW6NjY3p8OHDGc9t2bJFhmHMa3yfz6f29nZ9//vfv+7coUOH9Md//MfzGh8AJOsFw5M/v2iqA0pHIpHQ//pf/2tW77l06VKeZgPMn9Pp1OOPP64/+IM/0LZt2/Td73436+tffPFF3XnnnYWZHFCCrJ7FzSTnUOqhOprqkGs01aEiORwf5kUnHzzG4/GcXmNyvKsfbFJ3DQAAMDPd3d36oz/6I/3+7/++9u3bp56enut+wYxEIurp6dG+ffv05S9/WX/0R3+kV199tUgzBgCgdBw9elSSlLpyRTKlVQvqtWDiAfECj0er6hdI5sT5q14PAAAAlAKXy2W52JamusrU3Nxc1uMD+WDV2FNKTXW0QObWkSNHLBfafeELX8jJNe65556Mx1955RV+xgLIiema6gjVAaXj8OHDunjxYsZzd999d8bjhOpQDlwul1asWDHt686cOVOA2QClyyoAR1Pd3BGqq1yE6lCRvF7v1B9ckwG7XH/gn/yFY3J8v9/PLogAAADTCIfD+rM/+zP9P//P/6Pe3l6ZpjQUTejdUFR9A2G9ee6Ket4d0pvnrqhvIKx3Q1ENRRMyTam3t1ednZ368z//c4XD4WLfCgAARZFMJvXKK69IklJXhiVJLUsWX/Oa1iVLrjn/yiuvKJlMyjRNRaNRDQ8PjzfdmWYBZw4AAAB8yKqtjgX/lSnfzdkbNmzI6/hAPlgtRCt0qM7hcFg2pNFUl1sHDx7MeLyurs5yYftsbd68OePxdDqtf/zHf8zJNQBUt+lCdVaNq4TqgMJ79tlnMx6vqanR7/7u72Y8d/ny5XxOCcgZq01KrtbX11eAmQClyyp4VgmhOprqkGuO6V8ClB/DMLRy5Ur19PTI6XQqkUjo/PnzuvXWW3N2jQsXLkj6sJ1u1apVlg+bAQAAIPX396ujo0OhUEimKV2MxHQxHFcylb7utWnT1Gg8pdF4SqGRuBx2mxYGXFro9+jIkSN688031dnZqaampsLfCAAARXTixAlFIhGZyaTS0fGFCBsWL7nmNesXL9Hf/vwtpaMjiobDOnfunB555BGNjIxc80DX7/dr5cqVam5uVnt7uxobGwt6LwAAAKhe9fX1Onfu3HXHQ6FQEWaDfNu8ebOeeeaZvI4PlBurhWhWYYR8MQxDHo8n43xoqssd0zQtQ3WbN2+eWncyXx/72Md000036d13373u3OHDh/Vbv/VbObkOgOplFWKYrqluJuEHALkzODioF154IeO5rVu3Wq6ziEQiisVilEug5M0krE2oDtWuGkN1NNVhrgjVoWI1Nzerp6dHHo9H0WhUP//5z3X33XfLbrfPe+xUKqWTJ09K+vCHS3Nz87zHBQAAqFT9/f3auXPn+EPYRErvhKIajackSS5fQDeu3qAFS5vkb1gqu9OlVCKuyKULGrrQr/feek3xaFjvDcU0FE3o5qBPoVBIO3fu1K5duwjWAQCqyksvvSRJSg0PS6a0oq5ON3zkoXaD16ulHo/6Ll3UxRMnFLHblUwmr/uZGYlE1NPTo56eHu3bt09r167V/fffn/cWCQAAACAYDGY8TlNdZbrvvvu0ePFiDQwM5HzsJUuW6L777sv5uEC+WYULCt1UJ40vOsu0MI6mutw5ceKEzp49m/Hcli1bcnYdwzC0efNm/eVf/uV15w4dOiTTNNksGsC8TNdUZxWqo6kOKKx9+/ZZfpZ76KGH1NDQYPney5cva9myZfmaGpATNNUB2ZmmmZdQXalsvjOfe5sPQnWVy1bsCQD50tbWJmn8D0i73a6RkZGpINx8nTx5UtFoVHa7feoP4MnrAQAA4FrhcFgdHR2KRCIaGUvq1AcRjcZTcnh8WvOZL+ruh/9YzW1f0KJVt8u3oEHumlr5FjRo0arb1dz2Bd398B9rzWe+KIfHp9F4Sqc+GB8nEomoo6ND4XC42LcIAEBBpNNpvfzyy5Kk1JUrkqQNSxZf85pkMqnTp09rUSKuZDIpbyotM5nU5fPnFevrU+zECY2++aZiJ05o7Be/UOLcufGxTFO9vb3q7OzUn//5n/PzFQAAAHlVX1+f8Tihusrkcrn06KOP5mXsHTt2yOVy5WVsIJ+sdncvRqjOatEZobrcsWqps9vtuvfee3N6Lav2zvPnz6u3tzen1wJQfazCcZNNq4TqgNLw7LPPZjy+fPlyfepTn8oaqrt06VK+pgXkDE11QHaJREKmaWY8R1Pd3BGqq1yE6lCxmpqatHbtWhmGMfUL+5EjR+b9B1ckEtGPfvQjSeN/OBqGoXXr1qmxsXG+UwYAAKhITz/9tEKhkGKJlM5cGlEqbWrB0hXa9OAfatnaT8hmz16gbbM7tGztJ7TpwT/UgqUrlEqbOnNpRLFESqFQSHv37i3QnQAAUFwnT57UlStXZCZTSkfGvyxqWbxk6nx0NKoTJ07ocuiybqupkdKm3Im4FB1VYjSm8HBYZtqUTMlMm0qPxpQMDSp+9h3F3npLyYsXJdPUkSNH9OUvf1n9/f1FulMAAABUOqtQXSgUKvBMUCg7duzQ+vXrczrm+vXrtWPHjpyOCRSK1UK0yVBCIVktOiuVHegrgVWo7ld/9Vct21vn6tOf/rTsdnvGc4cOHcrptQBUn+ma6qx+jhGqAwrn9OnTeumllzKee/DBB2W32y1/J5cI1aE8zKSp7oMPPtDQ0FD+JwOUoGy/z89kM59SD9WVWlNdLBZTMpnM67WRX4TqUNG2bt0qafwPMafTqVgspoMHDyqRSMxpvEQioYMHD2psbExOp3PqgcDkdQAAAHCt7u5udXV1yTSld0LRqUDd+n+1XW5/3azGcvvrtP5fbZ8K1r0Tiso0xzdO6O7uztMdAABQOo4ePSpJSoeHJdPUTbUBLZ54NhEdjeqtn7+leCIupdJakEiqwW6TTClgt2mhz6f1ixfrT9vatPvXf11/2tamL//Kr2jzihWqdbtkJpJKvPe+xk6fVjoWUygU0s6dOwnWAQAAIC+sAgQ01VUup9Op5557TrW1tTkZr66uTs8995ycTmdOxgMKzWoRaDGa6qxCdTTV5cbAwIB++tOfZjy3ZcuWnF+vrq5OGzduzHiOUB2A+ZouVGfVVDeT8AOA3Hjuuecsz23btk2S5HA4LIN1ly9fzsu8gFyaaVibtjpUq2zhN5rq5s7qs67EJhLljlAdKlpra6va2tpkGIbq6+tlGIbOnz+vv/u7v5t1Y10kEtHf/d3f6fz589eM197erpaWljzdAQAAQHnbv3+/JOliJKbReEoOj0+3f+4h2Z2uOY1nd7p0++ceksPt1Wg8pYuR8V+SDxw4kLM5AwBQikzTnArVpa5ckfRhS10ymVTf231KppJSKqV0dERmKqU1Xq+8DrsavT4t9ft1aXRUi3w+LXC7tbimRhuWLNEXV6/WNz71a/p3H1+nGqdT6eio4qdPKx2NKhKJqKOjQ+FwuGj3DQAAgMpktXiPUF1lW7NmjV588cV5B+vq6ur0ve99T2vWrMnRzIDCs1qIVoxQndWCOprqcuMf/uEfZJpmxnP5CNVJ0ubNmzMe//GPf8xCPwBzlk6nLX82TBeq488eoDBM09Szzz6b8VxLS8s1v0M1NDRkfB1NdSgHMw1rE6pDtcr2+3y5h+pM0yy5pjpJs86loLQQqkPFe+SRRxQMBuV0OtXQ0DAVrPv2t7+tN998U6lUKuv7U6mU3nzzTX3729+eCtQ1NDTI6XQqGAxq+/btBboTAACA8tLf36/e3l6ZpnQxHJckNd+9ZdYNdR/l9tepue0LkqSL4TGZpnTixAmdPXt23nMGAKBU9fX16fLlyzJTKaUmHsi2LBkP1Z09e3aqoS4dHW9y9Tud+tySG+Wy26VUUjJNhWIx/XIikHc1h82mtuU36Wuf/KRura+XmUorfubMVGPd3r17C3qvAAAAqHxWobpQKFTgmaDQNm3apJdfflnr16+f0/vXr1+vo0ePatOmTTmeGVBYVgvRfD5fgWdCU12+HTx4MOPxW2+9VbfddltermkVqovH4/rRj36Ul2sCqHzZAgyE6oDS8NJLL+nMmTMZzz300EPX/DOhOpQzQnVAdpUcqkskEpbn8t1UR6iuchGqQ8ULBALq7OyU3++Xy+XSwoUL5XQ6NTY2psOHD2vv3r360Y9+pL6+Pg0ODmpkZESDg4Pq6+vTj370I+3du1eHDx/W2NiYnE6nFi5cKJfLJb/fr87OTgUCgWLfIgAAQEnq6uqSJF0ZTSiZSstVE9CNqzfkZOwbV2+QyxdQMpXWcCxxzfUAAKhEL730kiQpHQ5LaVM3+mu01O/X0NCQLocuy0ybSo2OTgXqblmwQDd5vVrkGm+HNVNJSdJr779veY0FHo++0to6FaxLnDsnmaaOHDmi7u7u/N8kAAAAqkYwGMx4nKa66rBmzRq98sor+vrXv67FixfP6D1LlizR17/+db3yyis01KEiWC0CLaWmOkJ18xeLxfT9738/47l8tdRJ0q/8yq9o4cKFGc8dOnQob9cFUNmyBeMmQ+FW4fBoNGrZ2gkgd6xa6hwOh377t3/7mmOE6lDOZhrWJlSHalXJobps90aoDnNFqA5VoampSbt27ZpqrFu4cKHq6upkt9sVjUb16quv6oUXXtBf//Vf63/8j/+hv/7rv9YLL7ygV199VdFoVHa7XXV1dVOBvGAwqF27dqmpqanYtwYAAFCyJh9OhSdCbzfetkE2uyMnY9vsjqmA3vBo4prrAQBQaUzT1NGjRyVJqYmmuduDQZ07d04nent15coVjVwZUnJsTOlkUvWSoiMjGovF9Cs14w92zYkd214deD/r4gW33a4v3XmnfE6H0tFRJSe+PD1w4EAe7xAAAADVxqqpbnBwUOl0usCzQTE4nU49/vjjeuedd9TR0ZH1tX/1V3+ls2fP6vHHH5fT6SzQDIH8MU3TciFaMUJ1VovOsi1Uw8z88z//s2WA8gtf+ELermuz2XTPPfdkPEeoDsBcZQswTNdUJ5XGIuxyE4/HtW/fPj388MO644475PV6ZbPZ5PV6dccdd+jhhx/Wvn37FI/Hiz1VlIDR0VF997vfzXjuc5/73HWBe0J1KGc01QHZVXKoLtsGQDO5t/nI9lmXUF15y82KVqAMNDU1ac+ePdq7d6+OHDkiv9+vmpoaxWIxxWIxJRIJJZNJmaYpwzDkcDjkdDrl8Xjk8XhkGIYkqb29Xdu3b6ehDgAAIAvTNHX69GlJ0mgiJUlasLQpp9eou7HpmvFPnTo19VkOAIBCGBkZ0YEDB9TX15fXXXZTqZQGBgZkptOKhUIaGx1VzeCg3g2HFZ1YyOBIj1+/weWU3ZCSyYSSyYSabYb+IZmUzTRl85q6GB3V13/2M9mn+XlpMwydHhqUhq/Icfmy3nrrLUUiEdXV1U07X8Mw1NzcrH/9r/911gfLAAAAqF5Wobp0Oq1wODyjz52oDC6XSy0tLVlf8xu/8RtyTbRwA5UgHo9bPkewavjJJ5rq8ufgwYMZj9fX1+tXf/VX83rte+65R3/zN39z3fFTp07p1KlTWrVqVV6vD6DyzDdUNzIyUpSfc+UokUho9+7deuqppzQwMHDd+VgspuPHj+v48eN65plntHjxYj366KPasWMHm1BUsYMHD+rKxMaMH/XQQw9dd+yGG27I+FpCdSgHs2mqYx0RqlG+QnWxWKzo/zdVzKY6h8Mhj8eTcQ4z/XMJpYlQHapKIBDQY489pvb2dh04cEAnTpyQ1+ud0W5v69at09atW6f9UgcAAADjO9NM7sAylhjfXdzfsDSn1wgsXHrN+JFIRLFYrCg7+QIAqtNf/uVf6oc//GFBrpVMJnWhr0/OcFgLnE4tcroUi0aldFq2iYV4dkPym5KZSsmQIRmGljqcqrfbFUomlYhE5Kmp0duh0LTXM2UqlkopGU/ICIVkOBz6yU9+ouXLl89ovm+88YYuX76sP/iDP5jPbQMAAKBCBYNBy3ODg4OE6qrMdItOZroDPVAusv03TVNd5TBNU3//93+f8dy9994rhyO/S7Y++9nPWp47fPgwoToAs5bt59dkmC5baG5kZOS6pixc7+TJk9q2bZuOHTs24/cMDAzoiSee0He+8x0999xzWrNmTR5niFL17LPPZjy+YMECff7zn7/uuFVT3eXLl3M6LyDXJgtUZmJkZEQXLlzQsmXL8jwroLRYNcq5XC7ZbLZp35/t2USx1+YVs6lOkvx+f8bnJTTVlTdCdahKra2tam1t1dmzZ9XV1aW+vj6dOnXqmj/Q/H6/Vq1apebmZrW1tamxsbGIMwYAACgvVz/ASk8u9HfmdjfpyfHSV+3om0gkCNUBAAqmv79fkpQeGVEyj18yJhIJXbx4UfaJn6+3uT0yR0aUjMdlptNTrXMBm318VzhzPBSniZ+RH/d4dSQSluIJxZJX5HK5ZBjTPyxf5nBoxExI8YQM05QxMKB4Oj3t+xw33CBbTc3Uvx8AAADgo6ya6qTxUF1TU1PhJoOim27RCTs9o9JYLW6TSitUR1Pd/PT09Ojdd9/NeG7Lli15v/6iRYu0YcMGvfbaa9edO3z4sH7v934v73MAUFmyfSab/PmVramOjRKmd/ToUd17770aHh6e0/uPHTumjRs36sUXX9SmTZtyPDuUsoGBAR06dCjjud/+7d/O+HnPKlRHUx1K3WyfEfT19RGqQ9Wx2iRnpqGzbM8mRkdHi7o2r5hNddJ4viTTz0pCdeWNUB2qWmNjo7Zt2yZpfJewWCymRCIhp9Mpj8dD5S8AAMAcXb3Dqs0wlDZNpRLxnF5jcjzbVZ/ZnE5nTq8BAEA2v/7rv67Tp0/LVlMjeyqlxLlzMpOpnF4jlU4pEo7IbY6H2bymtMHtlmmaMk1TbrtdTkmGTAXdbvnt9vGfu6apRCqltKS2mhp1j4woaqaltKlkbEwOh33a5x5eUzJlSGZaRiolIzqq1NAVy9cbDrucy5fLNrFw4tOf/nSu/jUAAACgwixYsMDyXGgGzcqoLNMtOmEBNipNtlBdtoaffLFaVEdT3fwcPHgw43GHw6HNmzcXZA6bN2/OGKr7p3/6J42NjRVkwSGAymEVYvB6vVONJ9lCdWyUkN3JkyfnFaibNDw8rHvvvVcvv/wyjXVV5G//9m+VSmX+fuqhhx7KeJxQHcrVbJ8R9PX16dd+7dfyNBugNOU7VFdMpdBUlwmhuvJGqA6YYBiGvF4vzSYAAAA54PV65ff7FYlE5HbaNBpPKXLpgnwLMj+YnYvwxQuSJLdz/Esav99fkF+OAQCYtGXLFhmGoWeeeUaqrZXt1lsVf/ddpSPjiwO8Doc2r1ghj2Nuj+DSqZTOvnNWSZdLSqflSiR0i8utWodDi2tqdH7ywWwyKcmQ12aTzTBkMww5JLntdiVSKRmSHl+0SD8fiykmQ+P/z5DP65Vs1sG6RCqtc5GwDEnGxPOSlatWyWbYFEsmdejMGY1OtOfZ/DVy3XSTDKdTDodD//7f/3t9/vOfn9N9AwAAoPLZ7XbV1dXpypXrN20YHBwswoxQTITqUG2y/TdNU13leOGFFzIev/vuu7OGy3Np8+bN+pM/+ZPrjo+MjOill17Sr//6rxdkHgAqg1Uo7uogXbZwOKE6a4lEQg8++OC8A3WThoeHtW3bNr3yyitsSlslnn322YzHV61apbvuuivjOatQXTQaVTQaLcpmD8BMzKWpDqg2lRyqK4WmukwI1ZU3QnUAAAAAcs4wDK1cuVI9PT3yOu0ajac0dKFfi1bdnrNrXHmvX5LkddoljT8QpmkYAFBIhmFoy5YtWrt2rZ588kmdP39e7ltuUfKDD5QY+ECjyaReOn9ej9x5h1bULZj1+KdPn1bQ75dSaaWjIzIdTvmdTjXW1sowjA9DdRNsGX4OOu12OWw22Q1DrfbxxQ2G3S4Zksvpki/LzsGJdFq9pilJstcGJEnrb7pZ745E9PQbPeOBOsOQc/EiORYtkiQtX75cf/iHf6hbbrll1vcLAACA6lJfX0+oDpKmXxDHAmxUmmwL0IoRqrNaVEeobu4uXLigV199NeO5LVu2FGwed911l2WI/dChQ4TqAMzKTEJ1drtdbrc7488QPtNZ2717t15//fWcjnns2DHt3r1bjz/+eE7HRel58803Lf/7eeihhyzXUNxwww2WY16+fJlQHUrWXJrqgGpTyaG6bM8qXC5X3q9PqK4y2Yo9AQAAAACVqbm5WZIU8Izvfvfe268pnUrmZOx0Kqn33npNklTrdV5zPQAACu2WW27Rf//v/12f+cxnJEmORYvkvmWFDJdTH0Sj+pNXXtGLv/ylzImA2kwMDQ3pcuiyZErpWEymKfmdTt2yYIGcdrsyfQWathjfMAz5nE45Jr44NdNpyZTiibgSiYTlHNLp9Pj7J/7ZNE0dPtuvP3nlFX0QjcpwOeVeectUoO6zn/2sdu/eTaAOAAAAM1JfX5/xeCgUKvBMUGw01aHalFqozmon92y7vyO7f/iHf7A8V8hQncPh0Kc//emM5w4dOlSweQCoDFafyWo+snHbR/95uvdXu3g8rqeeeiovY+/evVvxeDwvY6N0PPfcc5bnHnzwQctzVk11knTp0qV5zQnIp9mGtN9+++08zQQoXVa/z8/0mUMph+qs7s3tdhdkM35CdZWJUB0AAACAvGhra5Mk1Xmdcthtio+Ep4Jw8/XeW68pHg3LYbepdiK0N3k9AACKwePx6D/9p/+kxx9/XD6fT7aaGrlvvVX2BXVKpU199+239Y1XuzU0w13e33vvPUmSGY/LTKXkMAw11tZOtdHZDWMqJKeJv8YmQnBWvA7HeEDONMf/v6SxMesFcrHkRBjeblMkmdR33x/Q3/X9Qqm0KfuCOrlvvVU2n081NTV64okn9Pu///sz3t0OAAAACAaDGY/TVFd9CNWh2lj9N+1yuWS32ws8G+tQHU11c3fw4MGMx1evXq1Vq1YVdC6bN2/OePzNN9/UhQsXCjoXAOVtJk11mf55uvdXu+eff14DAwN5Gfv999/X888/n5exURpSqZT+5m/+JuO5trY2rVixwvK99fX1luGDy5cv52R+QD7M9hnBL3/5y6ybjAKVyCr4VslNdYVap0CorjIRqgMAAACQF01NTVq7dq0MQ1oYGK9X7/vxQY1Frsxr3LHIFfV1vSBJWhhwyzCkdevWqbGxcd5zBgBgvu6++25985vf1G233SbDbpfr5pvlXL5Mhs1Q76XL6vjJT3T84sWsY0RHowpHwpI5HqqTpKV+v5xXL6wzDHkdjmveN5JKZR3XMAx5JsaYbKtLJpNKWbxvZCJU98uxuP763Xf1bnxMhs2Qc/kyuW6+WYbdrtWrV+sv/uIv9MlPfjLrtQEAAICPsmqqI1RXfaZbYM0CbFQaqwVoxWipk6wXntFUNzejo6P6x3/8x4znvvCFLxR4NtI999xjee7w4cMFnAmAcmf1mczn813zz4TqZiffzaE0k1a2H/7wh1ObNH7UQw89lPW9drvdcrMbmupQymb78ySVSunMmTN5mg1Qmqx+n59p8Mxut8vpdGY8V+xQXbamukIgVFeZCNUBAAAAyJutW7dKkhb6PfK67ErGojr+vWeVSsTnNF4qEdfx7z2r5NiovC67Fvrd11wHAIBSsGjRIv3pn/6pHnjgARmGIUcwKNett8rm9Wg4HtfuV1/V/37r50pYhNlCl0OSJDOZlGmactpsqs/wgNs3+SDbNr6T6FAyKXOauTnt9g8fCE601SXi1/9cNk1TF0dH9cMrV7Tv8iVFUykZHo9ct94qRzAowzD0xS9+UX/6p3+qRYsWTfvvBAAAAPgoq8V7oVCowDNBsdFUh2pjtQDto6GEQqGpLrd++MMfWv5vvGXLlgLPRrr55pu1Zs2ajOcIWgCYjZk21Vn9PCNUl9mrr76a1/Ffe+21vI6P4nr22WczHvd4PLr//vunfX9DQ0PG44TqUMqsnhHU1tZati/29fXlc0pAyZlvqE6y3vin2KG6YjfVWW0gQaiuvBGqAwAAAJA3ra2tamtrk2FINwd9stsMDV04o2P/Z++sG+vGIld07P/s1dCFM7LbDN0c9MkwpPb2drW0tOTpDgAAmBuHw6Ft27bpa1/7moLBoGxut9wrV8rRcIMk6fCZfv3JK6/o/ZHrH65GJo9NNMXVezwZvwRa4JlY9GaMP+JLmqaGEolp5zbVeDcRqktmCPe9PTysb3/wgV6NjkiGoYjDIW9zs2xut4LBoL72ta/pwQcflP3q9jwAAABgFmiqwyRCdag2Vv9Nl1pTHaG6uTl48GDG4zfccIM2btxY4NmM27x5c8bjP/jBD5SceP4EANOZaajOaqExn+kyy3fQgyBJ5QqHwzpw4EDGc//yX/5L1dXVTTsGoTqUI6ufJ8FgUDfffHPGc/xZiGpTyaE6muqQD4TqAAAAAOTVI488omAwKI/TrhUNNVPBuqPPPanzvT9VOpX9C9t0KqnzvT/V0eeenArUrWiokcdpVzAY1Pbt2wt0JwAAzN7tt9+ub37zm/oX/+JfSDabnEuXytXUKMNh19nhYf3Xo0f1k3PnZE4E3ExJ0ZHxL4PM9HjYrcbhyDi21+GUf6qtbvwx33vxuJJm9r46+0RAz5zotUtdFaozTVM/DoW062y/BhIJpW02XXK5lKyvl6+mRp/4xCf0zW9+U7fffvvc/oUAAAAAEwjVYdJ0i05oNUGlsVqAVqxQndXCM6uFarBmmqb+/u//PuO5z33uc0XbnOiee+7JeHxwcFDd3d0Fng2AcmUVYphpqI7PdJnlO8TOz/PKtX//fsvPlQ899NCMxrjhhhsyHidUh1KWLeTd3Nyc8RyhOlSbSg7VFbupjlBdZSJUBwAAACCvAoGAOjs75ff7VeN2aNUiv7wuu5Jjozr5g+/ox3/939TX9YIGfnFc0aFLGhsZVnTokgZ+cVx9XS/ox3/933TyB99RcmxUXpddqxaNj+P3+9XZ2alAIFDsWwQAIKva2lr9l//yX7R9+3Y5nU7Za2vlvvVW2fw1Gkum9Ndvvqn/73iPRhMJpVMpJScD56m0JMljEaqTpEU+3/jf2GySYShlmjobiylbrM422Xo38SLTTMs0TY2mUvqr8+f1/517V/G0qTFDGvB4NGqz6aabbtIjjzyir371q6qtrZ3nvxGUA9M0FY1GNTw8rGg0OhX8BAAAyJVgMJjxeCgUKvBMUGzTLbCm1QSVxmoBmm/yd/wCo6kud44dO6YLFy5kPLdly5YCz+ZDbW1tlgsiDx8+XODZAChXM22qs/p5Rqgus3y3qhRqgTkK79lnn814fPHixfrMZz4zozFoqkM5snpG4PP5LEN1b7/9dj6nBJQcq1DdbDbzKbdQHU11mA/rFTkl5PTp0/rZz36mc+fOKR6Pq76+XqtXr9amTZtK4kN/KpXSa6+9ppMnT+qDDz5QIpGQ3+/X8uXL9bGPfUyrV6+WzUZ+EQAAANWrqalJu3btUkdHh0KhkG5dFNDFyJguhscUj4Z19tiPsr7fYbdpYcCthX63DGN80VVnZ6eampoKMn8AAObLMAx9/vOf19q1a/Xkk0/q3Llzct9yi5IffKDEwAd65cJ7Oj00pP/f2nVT75mMMGV7rlTrdqve7dbg2Nh4sC6VUjSV0i9HR9Xo8cgxGaD7yFw+6pfRqP7qwnmdGx1VMm1qSKYiXp9kGFq5cqW+/e1v83O3CvT396urq0t9fX06ffr0NQ///X6/Vq5cqebmZrW3t6uxsXHqnGmaGh0dVTKZlMPhkNfrzfjfGQAAwNVoqsOk6RadEKpDpbH6b5qmuvJ38ODBjMedTqdlW1wheDwefepTn9KLL7543blDhw7pv/7X/1r4SQEoO1ahuI+G6Kya6vhMl1lzc7OOHz+e1/FRec6ePat//ud/znju3/7bfytHls0ar2YVqrt8+fKc5wbkW7aQ92233ZbxHE11qDaV3FSXi3ubD0J1lamkQ3X/9//+X/23//bfdOzYsYzn/X6/fud3fkcdHR2WH+7y6cyZM/qzP/sz/e3f/q2GhoYsX1dbW6tf+7Vf03/4D/9Bn/vc5wo3QQAAAKCENDU1ac+ePdq7d6+OHDmiRRMhueFYQsOjCY0mUhpLpJU2TdkMQ26nTV6nXbVep2o9Tk2uy25vb9f27dtpqAMAlKUVK1Zo9+7d+qu/+isdPnxYjkWLZPP7FX/nHV2Mjurrr3brdptNdy1YIEPjwbp0Oj0emLOwPBBQJJFQIp2W7PapYF1fNKobXS4tcDp1dbzp6sYx0zT1T8NhvRgJK5pMKmGaumRKSZ9XstnU1NSkF154oSjP3lA43d3d2r9/v3p7ey1fE4lE1NPTo56eHu3bt0/Lly/XkiVLlEgkZhXAAwAAmGQVqrty5YpSqZTsdnuBZ4RimW7RCa0mqDRWC9BKLVRHU93svfDCCxmPt7e3q7a2tsCzudbmzZszhup+9rOf6fLly7rhhhuKMCsA5WSmTXVWoTo+02XW0tKS11Ddhg0b8jY2iud//s//aXnuoYcemvE4NNWhHM2lqe7ChQuKRCKWYRig0lg9d6iEUF2pNtXxWbe8lWSobmxsTA8//HDWD37S+MP1Pf9/9u49Pqryzh/458w1k0ySySRACLdALpCAopCAUAXtTbC1bBdv21bbXbsvrGu3xVqtW7eU/dllbavsbl1X99fVX6XbXUXdUtuKtd2VWFEIotwSiFwCAnJJhiSTy2Ru5/dHLhJynpPMzDlnzpn5vF8vX6/mOTPPPKFJ5pwz38/zffxxPPfcc3jhhRewbNkyQ9YXj8fxyCOPYP369eO6idjV1YUtW7YgJyeHoToiIiIiymr5+fm47777sHz5crz00kvYv38/Cj1OFHqcYz533rx5WL16Nerq6gxYKRERkX5ycnJwzz334IorrsDjjz+OHgDuqipETp1CrKMT2wIX0NrXh894vciDhFA0CrfKrqJ2mw2zfIU4cqEDUWAgWBePIybLONnfjzPhMHwOB3LtdnhsNsRlGZF4HG2xGP7r/AW8HwoBkg29kBGQJCDXA4fLhZqaGvz0pz9loC6DBYNBPPnkk2hoaBgYkGXEuroQDwYR7+uD3N8PWZYhSRIktxs2jwddAM4Fg9i5cycAoLi4GDNmzBix8+2lAby5c+fipptu4nkcERERjeD3+4XHOjo6WNyfJWRZZqc6yjqiArRLO/0YRVRUx051iTl58iTeffddxWM33nijwasZbcWKFYrjsizjtddew2233WbwiojIahiq08eKFSvw9NNP6zo/ZRZZlvHss88qHrv88ssxf/78cc/FUB1Zkdr7kVp3zvfffx9XXnmlXssiMhV2qtOPWqe6oc/VyXpMF6qLx+O49dZbsWXLlhHjdrsd06dPR2FhIY4dO4bOzs7hY+fPn8fKlSvx+9//HkuWLNF1fZFIBF/84hexefPmUccKCwsxefJkFBQUIBgM4vjx47zBT2Risiyjr68P0WgUDocDHo+Hb2ZEREQGqa+vR319PY4fP46Ghga0tLTg8OHDozqcVFZWorq6GsuWLWOHEyIiyjhXX301qqur8eMf/xjNzc1wTZ+OqDcAW08PWnt78fO+EL5cXIyeaBSFY8zlcThRUeTD0Y7OjzrWxeNAPI6oLKMtEgEiEQBATJbRG4vh5xcuoDMegwzgAmT0ulyQXC54vV4sXLgQP/zhD1FeXq73PwOlSWtrK9atW4dAIADIMqJtbYi2tUGOREc9VpZlRHp6cersWXSE+gGbBMnlQp7dDvnMGZw5exa+vDzYbbYRATxbfj7sBQU4cOAADhw4wI7DRERENIKoUx0AXLhwgaG6LBEOhxGLxVQfw8/cKdOIfqbN1qkuHo8Pf5ZOY/v1r38tPGaGUF1VVRXKy8vR2to66tjWrVsZqiOiMYnevy4N0YlC4gzVKVu1ahUmTZqEs2fPaj53aWkpVq1apfm8lF6NjY04dOiQ4rFEutQB6qE6BgPIrNQ61U2fPh0ulwvhcHjU8ZaWFobqKGtkcqjOrJ3q4vE4QqFQ2u7tUGpMd+frRz/60ahA3V133YW//du/RVlZGYCBH7otW7bgm9/8Jk6cOAFg4E3ylltuGeh0UThWmVHy7rzzzhGBOofDgTVr1uDLX/4y6urqRpxExuNxtLS04NVXX8Xzzz/PE0wiE2htbR0u3D9y5Miowv2KigpUV1dj+fLlLNwnIiIywIwZM3D77bcDGCjWDoVCiEQicDqdyMnJ4Tk0ERFlvIkTJ2LDhg34r//6Lzz33HNw+P2ITC5F/IOT6IzHcDgUQr7Dgcl5eWO+L3ocTszx+3GyO4gLoX7AZhv4T44DcXngQbIMWZZxJNyPjngMEVnGWbsdtrw82CQJkydPxp/92Z/ha1/7GoNPGay1tRUPPvgguru7EQ+FEDl5EvHegQ9ACtwuLC2bgkqfD1Pz8+F2OHCsowMb39kFp80Oh92G3Hgc+eEw7JIEyW4HAHR3BeHN98Jus0PuCyHeFwICFyA5HXCUlMBRUoJt27Zh3759WL9+PQObRERENGaojrLDWF3qABZgU+YRFaClq/BKraiuv7+fobpxevnllxXH586di5kzZxq8mtEkScKKFSvw5JNPjjr26quvsnCeiMaUaqc6bpSgzOVy4d5778UDDzyg+dxr166Fy+XSfF5KL1GXOpvNhi984QsJzSXazCYUCqG3t1f4+0yUTmrvR3a7HZWVlWhqahp1XBRGJcpEmRyqE31v6Q7VAQP3ORmqsyZT3flqb2/HD37wgxFjGzZswHe+850RYzabDZ///OexaNEiXH311cO7KJ08eRKPPfYY1q9fr8v6fv7zn2PTpk3DX5eVleGVV17B5Zdfrvh4m82GOXPmYM6cOfjGN77BD3+I0qixsREvvvgiDhw4IHxMd3c39uzZgz179mDz5s2YO3cubrrpJtTV1Rm4UiIiouwlSRI8Hg8vLomIKOvY7XZ88YtfRGVlJR5++GEUTZyI9g9OApIEt82GSDyOC6EQ/ON4j7TbbJhRUIgidz/O9faiOxIBJBswkHtCJBZDnyxDlmyIQ0JMAjA47/XXX4+vf/3rvA7OcMFgEOvWrRsI1PX2InzsGORYHHlOJ26ZMxtLy6bAYbMNP/6DYBf+fd8+2CUbynI9KJUkhCNhhGIx5NpsmJuTg2kFBZjo8SDP5cas6mp82NuLwx0d2H76FLr6w4h8eAaxzk44p05FIBDAgw8+iA0bNjBYR0RElOUKCgpgt9sVu5QFAoE0rIjSYTyhOhZgU6YRFaCJOvvoTa3wLBQKsZh6HHp6evCHP/xB8djnPvc5g1cjJgrVnTlzBnv37sX8+fPTsCoisgpRiOHS9y/R+wY3ShBbu3YtnnvuOezevVuzORcsWIC1a9dqNh+ZQzgcxn/+538qHvv0pz+NyZMnJzSfqFMdMNCtjueBZEZqneoAYPbs2YqhupaWFl3XRWQmmRyqE3WqS+R7S8VYoboJEyYYsg7SlqlCdT/84Q8RDAaHv162bJnqDhxTpkzBT3/6U3zyk58cHtu4cSP++q//WriDQrLa2tpGXGQUFhZi27ZtqKysHPccarstEpE+gsEgnnzySTQ0NAD4qAPOUBecaDQ6vOOaw+EY7oqTk5ODAwcO4MCBA1i+fDnWrFnDHfqJiIiIiIhIV0PFpDk2G3LsNsgxGeX5+UAkgtPd3ch3ueAc7Ao2lgK3GwVuN0LRKC6EQuiNRtATjiA0WLA83e2CwybBYbNjemkpiiZNwpe//GUG6rLAk08+iUAggHgoNByoqyoqwt1XXAHfJR82dIfDeGzXLvREIkAsOtjNTobP5cKqkhKUQkJfNApJAmw2OyDH0Xf+PBZWVGBhaSlWV1dj++lTeP7gIfT09iF85AhcM2eiG8C6devw+OOP834LERFRFpMkCT6fD+3t7aOOcbPS7DGe4moWYFOmERWBpmvDObVQnahYjUb6/e9/L/y3uvHGGw1ejdjHP/5xOBwORKPRUce2bt3KUB0RqUq1Ux3P6cScTic2bdqEJUuWoKurK+X5CgsLsWnTJjidTg1WR2by29/+VrgJzR133JHwfGqhuvb2dsyYMSPhOYn0Ntb7UXV1teJxhuoom4hCdYncdzBrqM7snerImmxjP8QY8XgczzzzzIix73//+5AkSfV5n/jEJ3DNNdcMfx0MBvH8889rvr4f/OAHaGtrG/767//+7xMK1BGR8VpbW3HPPfegoaEBsiwjGAzi7NmzCAQC6O3tRSQSgSzLAAbCdpFIBL29vQgEAjh79iyCwSBkWca2bdtwzz33DHfFJCIiIiIiItLD9u3bAQCxzk64c3IwKzcXOTk5kOx2RGUZx7u6EB+8jh2vHIcDk71ezCz0weN0It/pRIHHgwn+YlQVFMCbn48Jg51ih16fMldjY+PAxkOyjMjJk8OBum/V148K1AHAz5ua0BHqB+Kx4UBdhScX35s5C8v9xagqKoLX6YQsA/FQCJCB9kA7Ojo6AAAOmw3Lpk7Dw1dfjaqiIsixOMLHjiEeCiEQCOCpp54y9h+AiIiITEe0KSk71WUPdqqjbCQqQEtXqE5tN3dRsRqN9PLLLyuOT5gwAYsWLTJ4NWL5+fm4+uqrFY9t3brV4NUQkZVEIhFEIhHFY5eG6ESdVxmqU1dbW4tXXnkFBQUFKc1TWFiI3/72t6itrdVoZWQmzz77rOJ4fn4+Vq1alfB8Pp8PNptyGfnF9dJEZjJWpzq1UJ2c4OesRFYluu/ATnWpY6guM5kmVLd9+3acP39++OtZs2bh2muvHddz77zzzhFf//KXv9RwZQO/fBefjJaWlmLNmjWavgYRaau1tRUPPvggAoEAIpEIzp8/j66uLsRiMeTm5qKurg6rVq3CnXfeia997Wu48847sWrVKtTV1SE3NxexWAxdXV04f/48IpEIAoEAHnzwQQbriIiIiIiISBd9fX149913AQDxzk44HU4smlwGSIAtJweSBHRHIjja0YHIYLe58YrEYjja0YGeSASSTYLd44Fkk7BochmcDifinQM73+7evTvtN8FJXy+++CIAINrWhnhvH/KcTtx9xRVwK3RA3HPuHHZ8+CEAeSAwNxio+8b06fAN7nBskyTMKCiAXZIgx2KQw2EAwIdnPhwxly8nB9+qrx8O1kVOngQGNzJqbGzU9XsmIiIic/P7/Yrj7FSXPRiqo2wkuvYWhRD0xk51qYnH4/j1r3+teOwzn/kM7ArX3Om0YsUKxfE//vGPCAaDBq+GiKxC7XxsvJ3qeE43tqVLl+Ktt97CggULknr+ggULsH37dixdulTjlZEZtLe3C885br755qTOJW02G4qLixWPMVRHZpVsp7rOzs4ROQWiTCbaICcTQnXp7lTndruF1/kM1VmXaUJ1v/nNb0Z8/alPfWrMLnUXP/Zir7/+uqY7m/z3f//3iN0Qb7vtNtPd9CKijwSDQaxbtw7d3d0Ih8PDwbicnBxcf/31WLNmDa699lpUVVWhqKgIeXl5KCoqQlVVFa699lqsWbMG119/PXJycoYDeeFwGN3d3Vi3bh1vJBMREREREZHmGhsbEYlEEO/vRzzUD4dNwqfnzYPL6QLsNthyc4eDdQcDAQT6+sbcTVGWZQT6+nAwEEB3JAJJAmy5uYDdBpfThU/Pmwe7TUI8FEK8vx+RSAS7du0y6Dsmo7W2tuLAgQOALCM6+GH4LXNmK3aoA4DfHjsKAANBuVgMuXY7/nLKFLgu2bXWabdjyuCOfHI4DMgD92Z6L/lAxW234+4rrkCu04F4b9/wGl566SVNv08iIiKyFlGnOobqssd4ik36+/sRS3BzESIzE4UKzNipjqG6se3atQtnz55VPHbjjTcavJqxXX/99Yrj0WgU//M//2PwaojIKtRqMccbquvr60M8Htd0XZmotrYWb7/9Nh555BGUlJSM6zmlpaV45JFH8Pbbb7NDXQZ77rnnhB0j77jjjqTnZaiOrCbZTnXAQLc6omyQyaG6dHeqkyRJeL7LUJ11mSZU99577434OpHdMsrKylBeXj78dTgcRlNTk0YrGx34u+666zSbm4i09+STTw53qGtra4Msy5gyZQq+8pWv4LLLLhszFGu323HZZZfhK1/5CqZMmQJZltHW1jbcse6pp54y6DshIiIiIiKibLF9+3YAA13qAKCmuBgFHg+qZ1fDYXcAdjtsuXmQ7HbEZBkngkE0tbfjdHc3OkMh9EejiMTj6I9G0RkK4XR3N5ra23EiGERMliENPh92Oxx2B6pnV6PQ40GNv3jE6w6tgzJPQ0MDACDW1QU5EkWh242lZVMUH/tBsAstgQsA5OHuc6snThruUHepopwcOG02yLIMORoFAATa20c9zpeTg1vnzAEw0C0Psoz9+/fj+PHjqX57REREZFGiUN3FG55SZhvvZrnsbEKZRFSAlq5Qndpu7qJCPPrIr371K8Vxl8uFT3/60wavZmzz589HaWmp4rFXX33V4NUQkVWonbNd2h1LVGQM8JxuvJxOJ+6//368/PLLYz7W4XDg6NGjuP/+++EU3L+lzPDss88qjs+YMQPXXHNN0vOKwpsM1ZFZjRWqmzBhAgoLCxUfc+jQId3WRWQmmRyqS3enOgDwDm44eymG6qzLNKG65ubmEV8numPGpY+/dL5UNDY2jvh6/vz5AIBYLIZXXnkFt912G2bPno28vDz4fD5UVVXhlltuwTPPPMMLQSKDNTY2oqGhAbIs48KFC8OBuptuukn4Jibi9Xpx0003DQfrhubbtm3bqL8LRERERERERMnq7+8f7hAXGwy31U0aKG7K9eRiTs2cER3rbG43JElCJB7Hud5eHOvqQnMggANtbWgOBHCsqwvnensRicchSRJsbveIDnVzauYg1zPwwVLdYBFVrKsLwMDu6tyFPjMN7b4ZDwYBAEvKyuCwKd8e3vHhhwAwEJCTZRQ4HFgs+AASGNiRr2joQ5jBUJ2o0GZp2RQUuF2QI9Hhn7uhwB8RERFlH7/frzjOTnXZY7zFJvzcnTKJqADt0lCCUdQKz3iPYGyiwMN1112XcI2CESRJEnare+WVVyDLssErIiIrSKRTndr7Gc/pEjOeDSii0ShOnz5twGoonQ4dOoQdO3YoHrv99tthE9zrHw9RqK5dYeM8IjMQ/W0cej+SJAmzZ89WfAw71VE2iEajiA5+XnupTAjVpbtTHcBQXSYyRaiur68PJ06cGDE2bdq0hOa49PFapck7OztHvIna7XbMmDEDR48exTXXXIMbbrgBzz33HFpaWtDb24vOzk4cPnwYmzdvxl/8xV+gqqoKmzZt0mQtRDS2F198EcDAG1MkEkFOTg5uvPHGpHficTqduPHGG+F2uxGJRIZPyF966SXN1kxERERERETZ7Z133kF/fz/kcBjxvhAkCbhi4sTh47meXMybNw/F/mJAAiS3CzavFzaPBzanEzGbhB3dQTzf3o4d3UHEbBJsTufAca8XktsFSECxvxjz5s0bDtQBwJUTJ0KSgHhvH+RwGKFQCLt3707HPwPpSJZlHDlyBAAQH/ygo9LnEz7+WMdAuHOo69yigkI4JEn1NfIcjoHnxGMABj7UVCrDc9hswx3yhgJ+/BCTiIgoe4k61TFUlz3GW2wy3o52RFYgChSkq1OdzWYTfp7OTnXqjh8/jr179yoeu/HGGw1ezfitWLFCcby1tRXvv/++washIitIJFSn1qmO53SJGe91UVNTk84roXRTq0G+/fbbU5qbnerISuLx+Lg2KamurlZ8DD+PomygtjlOIvcdzBqqY6c60oMpQnVtbW0jdjpyOp2YeFHh0HhMmTJlxNfnzp3TZG1Hjx4dsbb8/Hw0NTVhwYIFeOutt8Z8/unTp3HHHXfgO9/5jibrISKx1tZWHDhwALIsD9+EWb58ecq7v3m9Xlx77bUABt7wZFnG/v37cfz48VSXTERERERERITt27cD+KhL3Ry/HwWX3PR1OByoqKhAdVU18vPzB8J1Tgfa7TZsunAB23p70RqLYltvLzZduICA3QbJ6QCkgftZ1dXVqKiogGMw+DSkwO3G7KKB7iBDXcOG1kOZo6+vb/gmvjz4QcrU/HzFx8qyjOODPwuIxQEAFbljf8CSM/SzNficaCyK+GDA7lIVg4G+oYDf4cOHuRM+ERFRlhKF6gKBgMEroXQZb2E1u5pQJhEVoKUrVAeIi8/YqU7dr3/9a+Gxz372swauJDGf+tSnIAk2z9m6davBqyEiKxCdi9lstlHvIQzVaYehOgIGQkSiUN1VV10lDA+NF0N1ZCVqYZ6L338YqqNspvZ7wk512mCoLvM4xn6I/i79AcrNzRXevBG59GJMqx/Kjo6OEV9LkoTPfvaz6BwscsrNzcUXvvAFLFu2DMXFxWhvb8e2bdvwi1/8YsQfjUceeQRTpkzB17/+dU3WBQwEB8+fP5/Qcw4fPqzZ6xOZTUNDA4CBFHosFkNeXh5qa2s1mbu2thZvvPEGent7EQqF4PF40NDQkPJOL0RERERERJTdIpEIGhsbAXwUals4qVT4eJ/PB5/Ph57eXrx66BBePPEB+iIRxCUJXXYHCmJRnA9H8PMzZ7F61ixcP3s28i7amVHJwtJSHAwEEOvshKOkBDt37kQkEkm66zuZT3Sw4xyA4fCa26F8azgUjaInEhn4YjAUN8U99ocQNtvA/m0XR+PkuKy4rdu0wUDfUMCvu7t7+H4LERERZRe/3684zk512WO8n+szVEeZIhqNIjJ0zXWJ3DGu3/WUk5Oj+PvITnXqXn75ZcXxyy+/HDNmzDB4NeNXXFyM+vp67Ny5c9SxrVu34q//+q/TsCoiMjNRGC4vL29Unafa+xlDdYlhqI6AgZrIEydOKB674447Up6foTqyErV7A+PpVHf48GHEYjHY7XbN10ZkFmrX8ZkQqjNzpzqe61qXKUN1ySRFL/3F1StUd+HCheGLlYULF+Kll17C9OnTRzzm9ttvx0MPPYRVq1Zh7969w+Pf/va3cf3116e8M8SQJ554AuvXr9dkLqJMMLSLxNAbZk1NjWYnv3a7HbW1tdi1a9dwkRd3rSAiIiIiIqJUvffee+jt7YUciSDe2wtJAhZOmqT6nN5IBD9rOYTGM2fgys1FTr4X9rIyTLLbgVgMsVOnEe/uxstnzuCsBHx57jzkqgTk6iZNwn80NSE+uI7e3l7s2bMHdXV1Wn+7lCYXdyiUJAmyLKM/GgUUPlyIKnSMc9sUknGXiMcHOtRdXEIj2ZQ3ThsK9F3cnS4SiTBUR0RElIVEneoYqsse4/1cn0UplCnUis/Yqc5agsEg/vd//1fx2Oc+9zmDV5O4FStWKIbqXn/9dYRCIUN3+Sci8xOdiykF6NRCddwoITGX1q6KNDc367sQSqtnn31WcdzpdOLWW29Nef7i4mLFcYbqyIzU7g2Mp1NdOBzGiRMnMHPmTM3XRmQWmR6qY6c60sPY1RAGuPSX1+VyJTzHpTf4tPqFFf1wT506Fa+99tqoQN2Q8vJy/OEPf0Bp6Uc7i/f39+PHP/6xJusiopFkWcaRI0cAYHhnvylTpmj6GmVlZSPmP3z48IjiLyIiIiIiIqJEbd++HQAQ6+wEZKDC54NP5Ybv+xcuYN2bb6LxwzOATYJzcincM2fC4XYjJycHDrcb7lkz4ZxcCtgk7PzwDNa9+SbeVylK9uXkoLLIB8iD67hoXZQZPB7P8M19afA+6slgUPGxDml0EK5/MDCnJjTUDc8+cMvZYXfAZlPe7Kh/8LEX72LNzohERETZSRSq6+npQTgcNng1lA7sVEfZxqyhOlHxGUN1Yq+99prwverGG280eDWJW7FiheJ4X18f3njjDYNXQ0Rmp9ap7lI2m034nsaNEhKTSKc61rBlpt7eXmzevFnx2I033ijs/p4ItU51/Lkisxlvp7qqqirh4w4dOqTpmojMRu9QXSwWG66jTwczd6pjqM66TBGqu/QXNJkPSC69kadV2lQ0z49+9CPhhzxDSkpK8A//8A8jxjZt2pT2hC5RJurr6xt+M4oOFmaJLviSNWHChBHzd3d3q558EBEREREREamJRqPYsWMHACDW2QUAqL9og6aLxWUZLx85jH/YsQNtfX2Q3C64Z82CY/Ba9YYbbsCzzz6LG264AQDgmDAB7lmzILldaOvrwz/s2IGXjxxGXPABaN2kgdeNdQ2s4+2330YsFtPum6W0kiQJFRUVAADb4AcghwW7HOc4HMgbCrgNhuJO9Y99/6NnKCg3+Jy8vDwo96kDPhgM9A0F/LxeL3fAJyIiylJqBYDsVpcdxltYzVAdZQq1ehG1zj56ExWf8fNwsZdffllxvLS0FHV1dQavJnH19fXCuqetW7cavBoiMrtEQnVq4wzVJWa810Q9PT344IMPdF4NpcMvf/lLYYH+HXfcoclriGosw+Ewf2fJdMbbqc7r9QqbcrS0tGi+LiIz0TtUB6S3Wx071ZEeTBGqu/QHK5mbcpf+cop+WBOlNI/f78fq1avH9fxbb70VhYWFw1+HQiHs3LlTk7Xdfffd2L9/f0L//fKXv9TktYnMZijoBmB4h5Rkul6qGZrv4h1Y0pm2JyIiIiIiImvbv38/gsEg5GgU8d6BD4EWTBodqgv09eFHO3fipZb3EZdl2It8cFdVwZabC6/Xi+9+97v42te+hvz8fHzta1/D3/zN38Dr9cKWmwt3VRXsRT7EZRkvtbyPH+3ciQsK994WDob54j09kKNRBINB7N+/X99/ADJUdXU1AMCWnw8AeOv0aUQVOtBJkoQZBQUDXwx2nTvSq/7BiCzLH/1cORwAxIUzAHBkMNA3FPCrrKwc0bWOiIjUff/734ckSUn/95WvfCWt6+/t7R3+22+mdVF6qG1iylBddhhvsQmLOSlTqAVE09mpThSqY6c6ZbFYDL/5zW8Uj33mM5+BzWaKcixVDocDn/rUpxSPMVRHRJcSvX+J7gGKguI8p0tMItdEzc3NOq6E0uXZZ59VHC8uLsbKlSs1eQ21xgVtbW2avAaRVsbbqQ746HOxSzFUR5lOLYeTyH0HM4bqotEo4gqfbwPsVEepMcVdnEt/sHp7exNuG3zpBZeeobolS5bAObRb8xhycnKwaNGiEWO7du3SZG0TJ07E3LlzE/qvsrJSk9cmMhvHYMEWgOEirGS6XqoZmu/iIq/x/i0gIiIiIiIiutSbb74JYLA7nAzMLCxEySU3p989exbrtr+Jg4EAJLsNrmlT4Zo2DZLNhnnz5uEnP/kJrrrqqhHPWbJkCX7yk59g7ty5kGw2uKZNg2vaVEg2Gw4GAvjem3/Eu2fPjnhOiceD8sICQP6oW93Q+igzLFu2DABgLyiA5HSgs78f20+fUnzsTN/AJmHS4P2WnV2diKrcr70QCiESjw+EIgaf4y8uVnxsNB4fft2hgJ/og00iIspMDz30EI4cOZLuZZBJqIXqAoGAgSuhdBlvsQk71VGmUCs8S2eoTrSjOzvVKdu5cyfOnz+veOzGG280eDXJW7FiheJ4U1MTTpw4YfBqiMjMtOpUx3O6xHQMbk42Hk1NTfothNLi9OnTeO211xSP/dmf/ZlmDQcYqiMrEb0fud1u2O32EWMM1VG2Et13sNvtI2rtx2LGUJ1WXfhSxVBd5jFFqK6kpGRESCUSieDcuXMJzXHq1MgCkIkTJ2qytkmTJo0aS7TIY/bs2SO+TvR7I6KxeTye4TepoTd9rS/qhm6KD83v9XoNfRMmIiIiIiKizBGPx/HWW28BAGKdnQCAhaUf3YcKx2L4eVMT/nn3bnSHI7DleuCqrIS9qAiSJOGLX/wifvCDHwg/7CwpKcHf//3f44tf/CIkSYK9qAiuqkrYcj3oDkfwz7t34+dNTQjHYsPPWTjYJS8+uJ633npLuNMbWU95eTnmzp0LSBIcgz83zx88hA6FDx8WT54MYDBUJ0noikaxY/Dn4lKRWAynBj8gkFwuQALy8/ORK/igZfvpU+jqD0NyOmAf7Ig3FPgjIqLMt3PnTvzTP/1TupdBJpKbmyssBGSnuuzAUB1lG7XCM1FXHyOwU11ifvWrXymOu91ufPKTnzR4Ncn79Kc/LTz26quvGrgSIjI7UYhB9N4lCtWxU11iErkmYqgu8/ziF78QfkZzxx13aPY6hYWFo8JIQxiqI7MR3RtQej9iqI6ylSh4lmi9uxlDdWr3KNipjlIx/ripjjweD6ZPn47jx48Pj504cUIx0CZy6Q5Jc+bM0WRtFRUVcLlcIzpeFQwWe4zXpY/nB0BE2pMkCQngx4sAAQAASURBVBUVFdizZw+cTicikQhOnTqFqqoqzV7j9OnTAD7qTldZWTkiEExEREREREQ0Xk1NTejs7IQcjSHePVBIMBRqO93djSffew8fBIOABDhKSuAsLQUkCRMmTMB9992H2traMV/DZrPhtttuw+WXX44f/ehHaGtrg7uiApEzZxBta8Mfjh9HSyCAu664AmVeL+pKJ+HFlhbEenogx2Lo6OhAc3PzQBCLMsLq1atx4MABOEpKEOvsRE9vH5547z18q74e7os+NJ+WX4BqfxFaAhcguVyQ+/vx4rmzmJuXB9/gfREAiMsyjnd1ISbLkOz2gVAdgMmDobxLdYRCeO7gQQADP9eQJMybNw8zZszQ8bsmIsp8P/7xjzF//vxxP76srEzH1YiFw2HceeedwwVheXl5LKgkSJKEoqIinL2kkzLAz1SzxXj/DvDvBWUKURGozWYb/hw6HUTFdQzVDZzDbNmyBVu3bsWuXbvQ0tIiLFL8xCc+IQySmNGUKVNw2WWXYd++faOOvfrqq/jLv/zLNKyKiMxIq051PKdLDEN12UuWZfzsZz9TPDZnzhzU1dVp9lqSJKG4uFixWQhDdWQ2ibwfiUJ1J06cQF9fX1o7hRPpKZNDdexUR3oxRac6YHQILtGT/ObmZtX5kmW320e9sSZ60/DSX+B07i5GlMmGfleH3hibm5sRu2jH/VTEYrHhv0tD8yfatZKIiIiIiIhoyPbt2wEA8WAXIMuYlp+PSbm5eP3ECazf/iY+CAYhOR1wl5fDOXkyIElYunQp/vmf/3lcgbqL1dbW4ic/+QmWLl0KSBKckyfDVV4OyenAB8Eg1m9/E9s++ACTcvMwLT8fiMuId3WNWCdlhvr6+oGucJIE59SpkOw2vH/hAh5tbBzVse6GmbMADHafs9vRG4vh/546hfBgECISi+FoRwe6IxFIEmDLyQEkoNhfDF+hb9Rr98dieOK999AbicKW6xnulrd69Wp9v2kioiywcOFCfPKTnxz3f4meS2jl7//+77F//34AAwXca9asScs6yHyKiooUxwOBgMEroXRgpzrKNqLCM4/Hk9YNXUU7uqsVrGW6SCSCH/7wh5g+fTpuueUWPP3009i7d6/qv4nb7UYkEjFwlalbsWKF4vhrr71mue+FiPSTaKhOVB/JUN34ybKMjo6OcT++ubkZsizrtyAy1J49e4bvoVzqjjvu0Py8sWTwfv2lGKojs9GiU50syzh8+LCm6yIyk0wO1ZmlU53oHJihOusyTajuiiuuGPF1IgU7H374IVpbW4e/djqdmn4guGDBghFfK+2UqObSHRyKi4tTXhMRjbZs2TIAA2/8drsdPT09mu3C09TUhN7eXtjt9uETi6HXIyIiIiIiIkqELMt46623AACxzk4AQE1xMf7lvXfxswMHEI7FYc/Ph7uqCrb8fLhcLtxzzz34zne+I9z1bCxerxff+c538Fd/9VdwuVzD89vzvQjH4vh/+/fjiffeQ83gfauhdW3fvp0fxGeYu+66C36/H7acHLhmzhwO1n33j2+g4eQHiA6G5uZPnIjFkycDkAYCc5BwpK8X/3TiOI4FgzgYCHwUqMvNBew2uJwuxa5zHaEQHm1sxPsXLkCy2+CcOhWQJCxfvlzTHXWJiMi8Dhw4gA0bNgx//fjjjyM/Pz+NKyIz8fv9iuPsVJcdGKqjbCMqPEv35syi4rNs7VTX1NSEq666Cg888EBCNUL//d//jauuuspS3YJEobquri7s2LHD4NUQkVmJzsUS7VTHc7rx6+npQTQaHffjL1y4kHBdK5nXs88+qzguSRK++MUvav56olBde3u75q9FlIpEQnUzZ86Ew+FQfHxLS4um6yIyE61CdS6XSxjiNmOnOiNDdexUl3lME6r77Gc/O+Lr3//+9+Mu2Pnd73434uvrrrsu6QIjJZ/73OdGfP3OO+8k9PxLHz979uyU10REo5WXl2Pu3LmQJGn45sy2bdtSfpPq7u7G66+/DmDgjVCSJMybN0+xSIyIiIiIiIhoLC0tLWhra4McjyM+eM36PyeO450zZwGbBOfkUrhmlkNyOFBeXo5//Md/xPXXX5/yzqOSJGHFihX4x3/8R5SXD8zvmjkTzsmlgE3CrjNn8D8njgMA4t3dkONxtLW14f3330/5eybzyM/Px/r16+H1emHLzYWrogK2XA96I1E8s28/vvX6/+K5gwex68wZfLq8HLlOB/plGd0OO/piMbzX2Yn1x47i3Z5uxG022HLzALsdDrsD1bOrR3xAGY3H0XDyA3z3j28MB+pcM2fClpMDv9/PDkVERFkiHo/jzjvvRDgcBgB8/vOfx5/8yZ+kd1FkKqJOdQzVZT5ZlsfdrYRdTShTiIpA1XaAN4KouC4bO9Vt374dS5Yswe7du5N6/u7du7FkyZKENhNPp4997GPC8MvWrVsNXg0RmVWinepE4zynG79kroesFOomsWg0iv/4j/9QPHbddddh+vTpmr8mO9WRVSTyfuR0OjFr1izFxzNUR5lMdB2f6H0HSZKEzzFjp7pEQ4OpEOWU+vv72fHdokwTqlu6dOmIE7OjR48Oh1jG8u///u8jvl61apWWS8OKFStG/KLt3bt33MVEBw4cQHNz84ixa6+9VsvlEdFFVq9eDWDgDcvpdCIUCuHll19O+k0qEong5ZdfRn9/P5xO5/DJ99DrEBERERERESXqzTffBADEu7ogxwc2lYrGZUhuF9wVFXBMmABgYBOqRx99FNOmTdP09adNm4ZHH30Un/nMZwAAjgkT4J41C5LbhejgeuS4jHhX14j1UuYoLy/Hhg0bhjvWuSsq4JxcCsnpQFd/GFuPHcO/vPsu/s9bb6G9L4T3L1zAsWA3WiMRhGQZ/bKMrV1B/Ov58/jDhQCOhPrhnzEdYZsdZ3t6sOvMGTx38CC+9fr/4pl9+9EbicKW6xkM8OXC6/Vi/fr17FBERJQl/vEf/3G4y0lBQQEef/zxNK+IzEbUqS4QCBi8EjJaKBRCfLBT8ljY1YQyhajwLN2hOnaqG9DU1ISVK1eia/CeSLK6urqwcuVKS4Qb3G43rrvuOsVjDNUR0RBRiEHUaVU0zlDd+KmF6lwul+K4Fd53aGy/+93vcO7cOcVjd9xxhy6vyVAdWUUineoAoLq6WnGcoTrKZKL7DsmEzswWqjN7pzqA57tWZZpQnc1mw1e+8pURY+vXrx+zW90f/vAHvPHGG8Nf5+fn45ZbbtF0bXl5efjSl740Yuzhhx8e13P/7u/+bsTXy5cvx8SJEzVbGxGNVF9fj2XLlkGSJBQVFUGSJJw6dQovvPBCwh3ruru78cILL+DUqVMj5lu+fDnq6up0+g6IiIiIiIgok8myPLxTeayzc3jcXuSDu6oKNo8H+fn5eOihh7BmzRrhh+OpcrlcuOuuu/DQQw8hPz8fttxcuKuqYC/yDT9maH3bt28f8x4dWU95eTkef/xxLF++HJAkOCZMQM6cOXDNmA6Hvwg2Tw4kmwSP04HKoiI4XU7EnE6cc7vR6XYjZrehJxbFe729eDXYhfU7G7H2f/4H32lowL+8+y62HjuGrv4wJKcDzsmlcFdUDHeo27BhA8rLy9P9T0BERAY4evQo/vZv/3b46w0bNqCsrCyNKyIzYqe67JXIZ3cM1VGmEBWeiYpAjSIqrsumUF0kEsGXvvSllAN1Q7q6unD77bdbYpf6FStWKI6/8847wqJ+IsouWnWq4znd+HV0dAiPLVy4UHH80uYPZE3PPvus4nhubi7+9E//VJfXZKiOrCLR9yOG6igbiYJnmRCqU7tHYZZQXaJZBTIH04TqAOCBBx4Y8UO2bds2PPLII8LHnzp1Cl/96ldHjH3jG98QnuANkSRpxH/j6Yi3bt26EX9Mnn32WTz99NOqz3niiSfw/PPPjxh78MEHx3wtIkrNXXfdBb/fD6fTiZKSkuFg3TPPPIN9+/YhFoupPj8Wi2Hfvn145plnhgN1JSUlcDqd8Pv9WLNmjUHfCREREREREWWaY8eO4ezZs5DjccSDQUh2G1zTpsE1bRokmw2XXXYZfvKTn2Dx4sWGrGfx4sX453/+Z8ybNw+S7aK12G2IB4OQ43GcOXMGx44dM2Q9ZKz8/Hzcd999+N73vod58+YBkgR7YSGcU6fCXVWFnHnz4LnsMhRdeSXmL12KkilTAKcTQYcD3SUlyK2oQMHUqbDn5kKySYAESDYJNk8OHP4iuGZMR86cOQPdFwc3Knr88ccZqCMiyiJ/+Zd/OVw0uWTJEnzta19L84rIjBiqy16JFJlwl2fKFKIwgVk71antAp9pNm7ciHfffVfTOXfv3o2NGzdqOqceRKE6AHjttdcMXAkRmZVWoTqe042f6HooNzcXV1xxheIxdqqzvo6ODvzyl79UPPanf/qnyM/P1+V1i4uLFccZqiOzYac6orFlcqhO9L05nU7YbMbFohiqyzyOdC/gYiUlJfibv/kb/M3f/M3w2IMPPogTJ07goYceGt65Mh6P41e/+hW+8Y1v4MSJE8OPLSsrw7e+9S1d1jZ16lQ88MADWL9+/fDYV7/6VezevRsPPPAApk2bNjx+4sQJbNiwAU899dSIOf7sz/4M119/vS7rI6KP5OfnY/369XjwwQfR3d2NCRMm4MKFC+jv78err76KN954A7W1tSgrK8OECRPgcrkQDodx/vx5nD59Gk1NTcMn306nE0VFRXA6nfB6vVi/fr1uF6dERERERESU+d58800AGAjU5eTANX06JJcLNpsNX/ziF3HTTTcZesMXGLgn94Mf/ACbN2/GL37xC6DIBynXg8gHHyAeDMJeWIjt27dj1qxZhq6LjFNfX4/6+nocP34cDQ0NaGlpweHDh0fc9Pf5fKirq4PD4cDZs2fxwQcfjHv+efPmYfXq1airq9Nj+UREhIEdWo8ePYr29nY4nU4UFxejrKwsrV1vfvrTn+J//ud/AAzca/+///f/QpKktK2HzMvv9yuOBwIBg1dCRkukqJpdTShTiArP0h2qy/ZOdeFwGI899pguc2/cuBHf/OY34XK5dJlfCxUVFaisrMThw4dHHfvyl7+M22+/HW63G9XV1airq8OKFSuwatUqU39PRKQt0bkYQ3X6EYXqfD4famtrFY8xVGd9L7zwgvD864477tDtddmpjqxCq051bW1tCAQCwntSRFaWyaE60XtkMt9bKtRCdTzftSZTheqAgW5127dvx69//evhsX/913/Fv/3bv2HGjBkoLCzEsWPHRrW39ng8eP755+Hz+XRb29/+7d/inXfeGV6bLMv4l3/5FzzxxBOYOXMmiouL0d7ejqNHj4567oIFC/Bv//Zvuq2NiEYqLy/Hhg0bsG7dOgQCAUyYMAE9PT3o7u5Gb28vdu3apfp8u90Or9eLvLw8SJIEv9+P9evXcyd1IiIiIiIiSsnx48cBAJLDAXdFBSBJmDhxIu677z7U1NSkbV02mw233norLr/8cvzoRz/C+fPn4a6oQHywWKK1tTVtayPjzJgxA7fffjuAgXufoVAIkUgETqcTOTk5I4IQagE8r9eLyspKVFdXY9myZZgxY4bh3wsRUTb5q7/6Kxw9enTUh+UOhwMLFy7EypUrcffdd2PChAmGrenDDz/Et7/97eGv77//fsydO9ew1ydrYae67MVOdZSNRIVn6QzCA+xUt2XLFpw9e1aXuc+cOYMtW7bg5ptv1mV+rXzqU59SDNXFYjEAAz8Le/fuxd69e/H0009j0qRJuPfee7F27Vo4nU6jl0tEBks0xCB6X+M53fiJroeKioqEobpz586hvb1d2HWMzO/ZZ59VHC8rK8PHP/5x3V5XFKprb2+HLMvcJIlMI9FOdbNnzxbO1dLSgquuukqTdRGZSSaH6kTfm+iehl5E58AAO9VZlelCdTabDZs3b8af//mf47/+67+Gx2OxmGJYDRhoPfzCCy/gYx/7mK5rs9vteOGFF7BmzRr87Gc/Gx6XZRlHjx4Vru9zn/sc/uM//kM1lUpE2isvL8fjjz+Op556Ctu2bRsOyYVCoeGisGg0Onzh53A4hovELi4UW758OdasWcMOdURERERERJSyqVOnYseOHbAN3mi9+uqrcc8996jeeDVSTU0NfvKTn+Dxxx/HH//4x+F1Tps2Lc0rI6NJkgSPxyP8sCSRAB4REelLtBN9NBrFjh07sGPHDjzyyCO47777sG7dOtjtdt3XdPfddw9vkFlVVYWHHnpI99cUOXfuHM6fP5/Qc5QKykk/aqE6Fu9ltkSKTNipjjKF6Gc53Z3qRAVo2dKpbuvWrbrPb+ZQXVNTE373u98l9JyzZ8/igQcewHPPPYdNmzYJAx5EZH2yLAvDcKIQg+h+N8/pxu/SphNDioqKVDfoa25uxtVXX63Tqkgr4XAYW7ZswdatW7Fr1y60tLSgv78fsiwrPv5LX/qSrvdzRKG6SCSCYDCIgoIC3V6bKBGJhrwnT56MvLw8xecxVEeZShQ8S+a+g9lCdWbpVGe32+HxeBT/HRiqsybTheqAgR/s//zP/8RNN92Ehx9+GO+9957i4/Ly8vDlL38Z69atw8SJEw1Zm9vtxv/7f/8Pt912Gx5++GG8+eabio+TJAmLFi3CQw89hM9+9rOGrI2IRsvPz8d9992H5cuX46WXXsL+/ftVC8IuNm/ePKxevRp1dXUGrJSIiIiIiIiywRe+8AXY7XacOHECy5cvx8c+9jHTFQnn5eXh/vvvx9KlS9HQ0IDp06fj1ltvTfeyyMTGCuAREVH69fX14f/8n/+DN954Ay+//LKuG0E+//zz+OUvfzn89VNPPWX4h9oXe+KJJ7B+/fq0vT6Nze/3K4739/ejr68v7d2bSD+JdCphATZlClHhWbqvp0Tv1dnSqW7Xrl26zv/OO+/oOn8qtm/fjpUrV6Krqyup5+/evRtLlizBK6+8gqVLl2q8OiIyg/7+fsTjccVjohCDaJyd6sZPrVNdaWkpfD6fYvCuqamJoToTi0Qi2LhxIx577LGEuuTedtttOq5KHKoDgLa2NobqyDQS7VQnSRKqq6vx7rvvjjrW0tKi6dqIzEJ034Gd6rTl9XoZqssgpgzVDVm9ejVWr16Nw4cPY8eOHTh16hTC4TB8Ph9qamrwsY99LKlfcNFuDolYsWIFVqxYgVOnTuGtt97C8ePHEQqFUFRUhMmTJ+NjH/uYYUE/IhpbfX096uvrcfz4cTQ0NKClpQWHDx8e8ebl9XpRWVmJ6upqLFu2DDNmzEjjiomIiIiIiCgTuVyu4e5eZiZJEq655hpcc8016V4KERERKZAkCUuWLMFnPvMZLFq0CDU1NfD7/bDZbGhvb8fu3bvx61//Gj/72c9GfND8+uuv47bbbsOWLVt02eG8vb0dX//614e//vM//3Ncd911mr8OZRZRpzpgoJCUobrMlUiRCQuwKVOICs/S/bcu2zvV6V1Qa9aC3aamppQCdUO6urqwcuVKvPXWW+xYR5SB1M7DGKrTjyhU5/P5IEkSamtrsX379lHHRd3sKf2amppw++23Y/fu3Qk/96tf/aqunWGLi4uFx9ra2jBr1ixdXpcoUYl2qgPAUB1lHVHwLBNCdWbpVAcMZA7Onz8/apyhOmsydahuSGVlJSorK9O9DEVTpkzBTTfdlO5lENE4zZgxY7h4UZZlhEIhRCIROJ1O5OTkmK47ABERERERERERERHRxT796U/jC1/4AqqrqxWPl5WVoaysDJ/97Gfx0EMP4bbbbsObb745fPw3v/kNnnjiiRHhN61885vfxLlz5wAAEydOxI9//GPNX4Myz1ihuilTphi4GjJSIkUm7FRHmUL0s2zWTnXZEqrT+/s0Y8e/SCSCL33pSykH6oZ0dXXh9ttvx9tvvw2n06nJnERkDmrnYaIQgygs3t/fj1gspssmL5lGqQsd8NH1U01NDUN1FmL2zrAFBQVwOByIRqOjjrW1tWn+ekTJSrRTHQDhPVSG6ihTZXKozmyd6pQwVGdNlgjVERHpQZIkeDyetH9AQUREREREREREREQ0XokUT02dOhW///3v8fGPfxxvvfXW8PjDDz+MO++8U9OuOK+88gp+/vOfD3+9ceNG+P1+zeZP1t13342bb745oeccPnwYf/Inf6LPgmgUtVBdIBAwcCVktESKTKLR6PBGmURWJio8S/dn1qICNDOGwfTgdrt1/V7TsWv+WDZu3KjYsSMVu3fvxsaNG3H//fdrOi8RpZeWneqAgUBEfn5+yuvKdKJOdUPXT6KOZc3NzbqtiZJjhc6wkiShpKQEZ86cGXWMoToyk2Q71SlpaWlBPB6HzWbTZG1EZpHJoTqzdapTwlCdNTFUR0RERERERERERERERJShcnJy8Oyzz6KmpmZ4x/Fz587hd7/7nWbBsWAwiLvuumv46xUrVuALX/iCJnOnauLEiZg4cWK6l0Eq3G43cnNzFXcbFxWSUmZQK9AWPd7n8+mzGCKDiArPtAy6J0MUqsuWTnXV1dXYu3evrvObSTgcxmOPPabL3Bs3bsQ3v/lNuFwuXeYnIuNpHarr6elhqG4ckg3VnTx5El1dXSgoKNBtbTR+VuoMKwrVtbe3a/o6RKlIplPd7NmzFcf7+vpw6tQpTJs2TZO1EZlFJofq2KmO9MJ4NREREREREREREREREVEGq6ysxOc+97kRY7/73e80m/873/kOTpw4AWCgiOVf//VfNZubsoOoWx1DdZkt0SITUfEckZWIfo7T3alOVFyXLZ3q6urqdJ1/4cKFus6fqC1btuDs2bO6zH3mzBls2bJFl7mJKD3UQnWiEINauCHRjRWylehaaGiTCbVOZexWZx56dobVWklJieI4O9WRmSQTqquqqhIea2lpSXlNRGYjuo5P5r6D2UJ1ZupUJ9pEgqE6a2KojoiIiIiIiIiIiIiIiCjDfeITnxjx9aFDhzSZ99ixYyNCdOvXr0d5ebkmc1P28Pv9iuOBQMDglZCRGKqjbCQqPEt3qE60q3s4HIYsywavxngrVqyw9PyJ2rp1q6XnJyJjiUJwTqdT2ClLrVMdz+nGp6OjQ3F8aEOSadOmCf+dm5qa9FoWJUDvzrDhcFjTORmqI7MLh8OIRqOKx9Ted3w+HyZOnKh4jKE6ykSi+w6Z0KlOFKpjpzpKFUN1RERERERERERERERERBlu2rRpI74+f/68JvN2dnaOKLb/9re/DUmSxvxv/fr1I+b52c9+NuL40O77lB3YqS47JdqlhF1NKBOICs/UOisYQa24TuuCbTNatWoVJk2apMvcpaWlWLVqlS5zJ2vXrl26zv/OO+/oOj8RGUsUglMLMKgd4znd2Pr7+4XnDEPXTpIkoaamRvEx7FRnDlbrDFtcXKw4zlAdmYVaKHus66nq6mrFcYbqKBOJOtVlQqhOy+8tVQzVZRaG6oiIiIiIiIiIiIiIiIgy3KUdBCKRSJpWQjQaQ3XZiZ3qKBuJfo7N2qkOEBetZRKXy4V7771Xl7nXrl0Ll8uly9zJ0rt4mMXJRJlFFIJTC86pva8xVDc2teugizegqa2tVXwMO9WZg9U6w7JTHZmd2vuH2nsSIA7VHTp0KKU1EZlRJofq2KmO9MJQHREREREREREREREREVGGO3PmzIivJ0yYkKaVEI3m9/sVxwOBgMErISMxVEfZSFR4lu5QnVpxnahoLdOsXbsWCxYs0HTOBQsWYO3atZrOqQW9/z/NhiAmUTZJJlQnSZKwaxBDdWNTC9VdvCEJQ3XmZrXOsKJQXXt7u6avQ5QsdqojGp9MDtWxUx3pxZHuBRARERERERERERERERGRvv74xz+O+HratGmazFtZWYnXXnst4ec9++yz2LRp0/DXn/70p/Htb397+OtLO+tRZmOnuuyUaJEJC7DJ6mRZFhaejVUEqrds71QHDJx7bNq0CUuWLEFXV1fK8xUWFmLTpk2mPKdxu926/v+ajoJGItKP6BxsrPeuvLw8xQAEN0oYW0dHh/DYxddONTU1io9pbW1Fb29v2s8vsp3VOsOyUx2ZXSqd6mbPnq04fuzYMYTDYdN1liZKRSaH6qzQqY73L62JoToiIiIiIiIiIiIiIiKiDNbR0YEXX3xxxNgnPvEJTeb2er345Cc/mfDzLg35TZ48Oal5KDOIQnXsVJfZEi0yYQE2WZ1aiCndnerUCtCypVMdMNDx55VXXsHKlStTCtYVFhbit7/9rbCDULpVV1dj7969us5PRJkjmU51Q8fPnz8/7vnoI6LNRZxO54ignOh9RpZlHDp0CFdeeaUu66PxsVpnWLVQnSzLkCRJ09cjSpQeneri8TiOHj2KOXPmpLQ2IrOQZVn4/pMJoTrRe5+ZQnXsVGdNtnQvgIiIiIiIiIiIiIiIiIj0c999943Y6d7lcmHlypXpWxDRJfx+v+I4O9VltkSLTBiqI6tTKzpLd6hOrbguWzrVDVm6dCneeustLFiwIKnnL1iwANu3b8fSpUs1Xpl26urqdJ1/4cKFus5PRMYSnYONJ1SnhKG6sYmug3w+34hg08yZM4VF5E1NTbqsjcZP7wJ/rTvDikJ1sVgMnZ2dmr4WUTJE7x82m23M37eKigphMFTvrpJERtJ6Mx+zheq0DAymiqG6zMJQHREREREREREREREREZEF/MM//APeeeedcT8+Go3iW9/6Fv793/99xPhdd92FyZMnqz5XkqQR/73++uvJLJloXESd6hiqy2yJFpmwAJusTq3obKzOCnpjp7qRamtr8fbbb+Paa68d93NKS0vxyCOP4O233zZth7ohK1assPT8RGSsZDvVid7beE43NtF10KXXTXa7XdhdiaG69NO7c6vW8xcXFwuPtbW1afpaRMkQhbxzc3PH7KTodrtRXl6ueIyhOsokaqE6LTvV9ff3Ix6PJzxfqtipjvTCUB0RERERERERERERERGRBWzduhV1dXX42Mc+hn/6p3/C/v37EY1GRz2us7MT//mf/4n6+no89thjI45VVFTge9/7nlFLJhoXtVCdLMsGr4aMwk51lG3UfobN3KkuG0N1AOB0OmG324XHPR4P5s+fj7/4i7/A888/j+PHj+P++++H0+k0cJXJWbVqFSZNmqTL3KWlpVi1apUucxNReiQbqhMd5znd2C7uNH8xpeummpoaxccyVJd+VusMK+pUBzBUR+aQ7PvREFEQ9dChQ0mvichsjArVjfVaerFKpzrez7YeR7oXQERERERERERERERERETjt337dmzfvh3AwC6sU6dORWFhIex2O9rb29Ha2qq4U2xpaSleeeUV1d3HidLB7/crjsdiMQSDQRQUFBi8ItJbPB5PuKCaBdhkdWqd6tIdqnM4HJAkSbHwKx2FcmYgyzJ27dqleOzRRx/Fvffea/CKtONyuXDvvffigQce0HzutWvXwuVyaT4vEaWPKMQwVpdVUciBnerGNt5OdQCE3VGbm5s1XRMlbsWKFXj66ad1nV9LXq8XLpcL4XB41LH29nZNX4soGWqd6sajuroar7766qhxdqqjTGJkqK6vr2/cv39asUKnOlmW0/JvQ6lhpzoiIiIiIiIiIiIiIiIii+rv78eRI0ewe/duNDY24ujRo4qBuhtuuAF79uxBVVVVGlZJpE7UqQ4QF5SStfX19Ql3bRaFLFmATVanFqpLd7GVJEnCIrRs7VR35MgRdHZ2Kh7Tu/OMEdauXYsFCxZoOueCBQuwdu1aTeckovTTulMdz+nGJroG8vl8o8ZEobrDhw9n7Xu4WVitM6wkScJudexUR2aQaqe62bNnK44zVEeZxOhQndGs0KkOGOhWR9bCUB0RERERERERERERERGRBXz3u9/FXXfdhblz58Jut4/5eK/Xi5tvvhnbtm3Db37zG0ycONGAVRIlTi1UFwgEDFwJGUWtuET0t4qd6sjq1H6G01EANt41ZGunusbGRsVxSZI0D6Olg9PpxKZNmzTrBltYWIhNmzbB6XRqMh8RmYfo/WusEIMoMM5zurF1dHQojifSqS4Wi+H999/XclmUoKHOsHrQqzMsQ3VkZlp0qlNy5swZdHV1Jb0uIjPJ9FCdFTrVAQzVWZEj3QsgIiIiIiIiIiIiIiIiorF96lOfwqc+9SkAA4UkTU1NaG1txYcffoju7m7E43H4fD4UFRWhtrYWl1122bjCd0pEHaS08v3vfx/f//73dX0Nsg6ljgtD2KkuM6l1KJk4cSIOHjw4apwF2GR1ooIzt9sNmy39e2KzU91Iu3btUhyvqalRLZ6zktraWrzyyitYuXJlSoXEhYWF+O1vfysMdhCRtbFTnfFE10BKobrKyko4HA5Eo9FRx5qbmzFv3jzN10fjt3btWjz33HPYvXu3ZnPq2RmWoToyM71CdQDw/vvvY+HChUmti8hM1EJ1agG5ZJ6T7Z3q1M6FGaqzHobqiIiIiIiIiIiIiIiIiCwmNzcXdXV1qKurS/dSiFLmcDhQUFCgWNDPUF1mSqZTHQuwyepEBWfjLQLVm6gIjaG6kTLt3Gvp0qV46623cPvttydV8L9gwQJs2rSJgTqiDMZQnfESCdU5nU5UVVWhubl51LGmpibN10aJGeoMu2TJEk06YendGba4uFhxnKE6MoNk34+GTJs2DW63W/H6pqWlhaE6yghqQbdkOpyaLVTHTnWkl/RvdUVERERERERERERERERERFnN7/crjgcCAYNXQkZIJlTHTnVkdaKf4WR2i9eDqAhNbaf7TBWLxYQBs0wL1QEDHevefvttPPLII5g0adK4nlNaWopHHnkEb7/9NgN1RBlOFGIYKxQuOs5Q3dhEoTpRh2/R32GG6sxhqDNsQUFBSvMY0RmWnerIzFLtVGez2VBVVaV47NChQ0mvi8hMRNfvOTk5kCQp4fnMFqozU6c6t9sNu92ueIyhOuthqI6IiIiIiIiIiIiIiIiIiNJKqesCwE51mUpUXGK324U/CwzVkdWJCs7MHqrLxk51hw4dEv6dqq+vN3g1xnA6nbj//vtx4sQJPP/888JONXV1dXj++edx/Phx3H///bp1yiEi89C6Ux3P6cbW0dGhOC46T2aozvyGOsMuWLAgqecvWLAA27dvx9KlSzVe2UiiUF17e7uur0s0Hql2qgOA6upqxfGWlpak1kRkNmqhumTYbDZhhzujQ3WxWAzRaFTxWDo61UmSJOxWx1Cd9TBUR0REREREREREREREREREacVQXXYRFcN5vV5hQRy7mpDViQrOxttZQW+iIrts7FS3a9cuxXG73Y758+cbvBpjuVwu3HzzzcLv85Of/CRuvvlmYWElEWUeUQgu2VAdz+nUxWIxdHV1KR4TXTPV1NQojre0tAiLz8l4Q51hZ82aNe7nGN0Zlp3qyMxS7VQHALNnz1YcZ6iOMoXWoTpAvBGQ0aE6tQ1/0tGpDgBDdRnEke4FEBERERERERERERERERFRdvP7/YrjgUDA4JWQEUTFJWqhOnY1IasT/QyzU535iEJ18+bNM83/X3orLCxUHO/s7DR4JUSUTvF4nKE6g4m61AGAz+dTHBeFrcLhMI4ePSrszETGs9lsOHfunOIxSZKQk5OD6upqLFy4ECtWrMCqVasMDbIzVEdmpnenOlmWIUlSUmsjMgu9QnVK14FGh+rUNvxJR6c6gKG6TMJQHRERERERERERERERERERpRU71WUXUXFJXl6ecJd5FmCT1YkKzswS0hIV2TFU95G6ujqDV5I+DNUREaBeLD1WiIHndMlRu/4RXTNVV1fDZrMhHo+POtbU1MRQnYk0NzcLr4XefPNNLFmyxOAVjVRcXKw43t7ejng8DpvNZvCKiD6iRac60d/DYDCIs2fPorS0NKm1EZmFKHiWyn0HdqoTE4XqeL5rPTzDISIiIiIiIiIiIiIiIiKitGKoLruIiku8Xq+wII6d6sjqRAVniRSB6km0s7vabvCZKBKJ4N1331U8Vl9fb/Bq0oehOiIC1AuCx3r/Yvfh5Kh1qhNdM3k8HsyaNUvxWFNTkxbLIo3s2LFDcdzhcODKK680eDWjiTrVxeNx1Z9NIiPo2akOGOhWR2R1ovsOqXaqS+S19KIWqmOnOkoVQ3VERERERERERERERERERJRWfr9fcTwQCBi8EjKCqLjE6/WyAJsyluhnmJ3qzKWpqUkYJGSnOobqiLKNWqhurBCD6Hg4HEY0Gk1pXZlMtKmIJEkoKCgQPq+mpkZxvLm5WZN1kTZ27typOD5//vy0ddm5mChUBwBtbW0GroRoNC061RUXFwsDyocOHUpqXURmIrqWzYRQndqGP2brVMdQnfUwVEdERERERERERERERERERGnFTnXZRVRckpeXJyyI6+npgSzLei6LSFeigjOzhOrYqW7Arl27FMddLhfmzZtn8GrSh6E6IgLUNzVINlQHqIf1sp3o+qewsBA2m7jct7a2VnGcnerMRdSpbvHixQavRJlaqK69vd3AlRCNpkWnOkmShN3q2KmOMkEmh+rYqY70xFAdERERERERERERERERERGlFUN12UWtU50oVCfLctZ1zKLMIio4S6Szgp5ERWjZ9nsnCtVdfvnlaSvUSweG6ogISK1Tndr7G0N1YqLrH9H10hBRqK65uRnxeDzldVHqenp6sG/fPsVjZgnV5ebmCoMX7FRH6aZFpzoAmD17tuI4Q3WUCTI5VMdOdaQnhuqIiIiIiIiIiIiIiIiIiCit/H6/4nhHRwdisZjBqyG9iQqpvV6vaoG2WrcUIrMT/fyapVOdqAiNneoG1NfXG7yS9GKojogA9fDbWCEGntMlp6OjQ3E82VBdX18fjh8/nuqySAO7d+8WBhwXLVpk8GqUSZIk7FbHUB2lmxad6gCwUx1ltEwO1bFTHemJoToiIiIiIiIiIiIiIiIiIkortSJRFvBnnmQ61QHsakLWxk515tff3489e/YoHqurqzN4NeklCtV1dXWx4xFRFhGde+Xk5MBmUy89VQs58JxOLNlOdXPmzBEea25uTmlNpI0dO3YojhcWFgpDPulQXFysOM5QHaVTPB4XhoUSvZ4S/b4dOXIE0Wg04bURmYno9ySVzXzMEqoTfW92ux12u93QtQxhqC5zMFRHRERERERERERERERERERppVYkKiosJesSFZfk5eWpFsSxqwlZmajgzOyd6rIpVLdv3z5EIhHFYwzVDZBlmQWCRFkkla5A3CghOaJrH5/Pp/o8r9eL6dOnKx5rampKdVmkAVGobtGiRWOGVI3ETnVkRmrhHa1CdZFIhJ09yfJEvyuZ3Kkule8tVQzVZQ7znIkREREREREREREREREREVFW8vv9wmOBQMDAlZAR1DrVqRVpM1RHVib6+TVLqE7UqU60G3wm2rVrl+K4x+NBbW2twatJL1GoDmAHWaJsInrvGk+oLicnB5IkJTQvAR0dHYrjY3WqAyB8r2Kozhx27typOL5o0SKDV6KOoToyI7Uw9njeky5WWVkpPHbo0KGE5iIyG9H1eyaE6kTfm+hehhFEf38YqrMehuqIiIiIiIiIiIiIiIiIiCit8vPzhbvzs1Nd5hEVxHm9XnY1oYwlKjhLtLOCXkSFaNnUqU4UqrvyyivhcDgMXk16MVRHREBqneokSRI+jud0YqJrn/GE6mpqahTHGapLvzNnzuDEiROKxxYvXmzwatSJQnXt7e0Gr4ToI2ph7ESvp/Ly8jBt2jTFYy0tLQnNRWQ2mRyqY6c60hNDdURERERERERERERERERElFY2mw0+n0/xGEN1mUdUXJKXlweXywW73a54nF1NyMpEBWdm6VQnKkTLpk51jY2NiuN1dXUGryT9GKojIiC1UJ3a4xiqE0slVCfqVNfc3AxZllNaF6Vmx44dwmNWCdWxUx2lk5ad6gCgurpacZyhOrK6TA7VmbFTHUN1mYOhOiIiIiIiIiIiIiIiIiIiSju/3684HggEDF4J6U1UXOL1eiFJknCneYbqkhMOh7F582bceeedmD9/PjweD2w2GzweD+bPn48777wTmzdvRjgcTvdSM5ro59csobps71TX29uLAwcOKB7LxlBdTk4OnE6n4jGG6oiyhyjEMN6uQKLHMVQnJgrViTYguZgoVNfV1YXTp0+nsixKkShUV15ejokTJxq8GnUM1ZEZadmpDmCojjJXJofq2KmO9ORI9wKIiIiIiIiIiIiIiIiIiIhE3RfYqS7ziAqph4pRcnNzEQwGx/08UhaJRLBx40Y89thjOHv27KjjoVAIe/fuxd69e/H0009j0qRJuPfee7F27VphmIaSJyo4S6YIVA+iQrRsCdXt2bMHsVhM8Vg2huokSUJhYaFiAT1DdUTZQ69OddwoQayjo0NxfDyd6mpqaoTHmpqaMGXKlGSXRSnauXOn4viiRYsMXsnYiouLFccZqqN0UrsXwFAd0UdEobpUNvMxS6jOSp3qwuEwIpEI761ZCDvVERERERERERERERERERFR2jFUlx1isZiwkHqoGIUF2KlramrCVVddhQceeEAxUKfk7NmzeOCBB3DVVVehqalJ5xVmH1HBmdk71YkK1zLNrl27FMe9Xi9mz55t8GrMobCwUHGcoTqi7CE690o1VMeNEpTJspxSqK6oqAilpaWKx3hulz7xeByNjY2KxxYvXmzwasYm6lQXCASEGxAQ6U30fuR2u2G32xOeTxSq++CDD/geRZYmuu/ATnX6EIXqAJ7vWg1DdURERERERERERERERERElHZ+v19xPBAIGLwS0pNaMG6o8Fq00zxDdeOzfft2LFmyBLt3707q+bt378aSJUuwfft2jVeWvSKRCKLRqOIxs4Tqsr1TnajYfeHChbDZsrO8iqE6ItKrUx2LjJUFg0FhaMnn841rjtraWsXx5ubmZJdFKTp48CC6uroUj1kpVKcW+iTSW6rvR5cSheoA4PDhw0nNSWQGok1xMiFUZ6VOdQDQ3d1t4EooVdl514eIiIiIiIiIiIiIiIiIiEyFneqyg1pRyVAxiihUxwLssTU1NWHlypXCwt3x6urqwsqVK9nVRCNqxWain3ejsVOdcqe6uro6g1diHgzVEVGqIQae0yVG7bpnPJ3qAHGojud06bNz507FcbvdjiuvvNLg1YxNFKoDgLa2NgNXQvQR0QY7yV5LlZeXw+l0Kh5raWlJak4iM8jkUJ3VOtUxVGctDNUREREREREREREREREREVHaMVSXHdSKqIeKUUSF2uxUpy4SieBLX/pSyoG6IV1dXbj99tsRiUQ0mS+bqRWbmaVTnShUlw2d6oLBIA4ePKh4jKG60RiqI8oeovO28YYYeE6XGLUuYKmG6g4cOABZlpNZFqVox44diuOXX365aTZXuFhxcbHwGEN1lC5ad6pzOByoqKhQPMZQHVlZJofq2KmO9MRQHRERERERERERERERERERpZ3f71ccDwQCBq+E9JRKpzoWYKvbuHEj3n33XU3n3L17NzZu3KjpnNlI7WfXLKE6UZFdLBZDNBo1eDXGevfdd4VBg/r6eoNXYx4M1RFRqiEG0ePYqU6Z2mYiPp9vXHPU1NQojgcCAZw/fz6ZZVGKRKG6xYsXG7yS8cnNzRWenzJUR+midac6AKiurlYcZ6iOrMzoUJ2RgX0zdqpT+xvEUJ21MFRHRERERERERERERERERERpx0512UGtqGSo8FpUlMICbLFwOIzHHntMl7k3btyIcDisy9zZQm0Hd7N0KFHb3T3Tu9U1NjYqjvt8PsyaNcvg1ZgHQ3VEJAoxjDdUx3O6xIiue/Ly8uB0Osc1h6hTHQA0NzcntS5KXl9fH/bu3at4bNGiRQavZvxKSkoUxxmqo3TRulMdwFAdZR5ZloWhulQ28xE9Nx6PIxKJJD1voszYqc5utwvPdxmqsxaG6oiIiIiIiIiIiIiIiIiIKO1EoTp2qsssomI4p9MJl8sFQFwYx051Ylu2bMHZs2d1mfvMmTPYsmWLLnNnC7VQndk71QGZH6rbtWuX4nhdXR0kSTJ4NebBUB0R6dWpjud0yjo6OhTHRddJSiZMmIDi4mLFY01NTcksi1Kwe/duxGIxxWNm7VQHMFRH5mNkp7pDhw4Z2n2LSCuRSATxeFzxmB6d6gD1ex1aM2OnOgDwer2K4wzVWQtDdURERERERERERERERERElHZ+v19xvKenx9Cdj0lfoqKSi4tQRIVxLMAW27p1q6Xnz3RqP7tmCdWp7e4u2hE+U6iF6rIZQ3VEpFeojp3qlIk61SUSqpMkSditjqE64+3YsUNxvKCgAHPmzDF4NeMnCtW1t7cbvBKiAaL3DT1CdRcuXODPOlmS2nV7Jofq0tmpDmCoLlMwVEdERERERERERERERERERGmnViwqKjAl6xEVlVxcdC0qjGMBtpgoFKSVd955R9f5M52o0MzhcMDpdBq8GmVqhWiZ3KnuwoULOHz4sOKx+vp6g1djLgzVEVGqIQaG6hKjRagOAGpqahTHGaoznihUV19fD5vNvOXb7FRHZiPapGS8IW8ls2fPFh5raWlJel6idMn0UJ3o+0t3pzrR3yGG6qzFvGdlRERERERERERERERERESUNUSd6gAgEAgYuBLS03g61YkKUtipTkzvoj8WFaZGVGhmli51gHohWiZ3qlMLjLJTHUN1RNku1U513CghMaJQnc/nS2geUae65ubmRJdEKdq5c6fi+KJFiwxeSWIYqiOzEd0LSKVT3aRJk5Cfn694jNe/ZEWZHqpjpzrSE0N1RERERERERERERERERESUduxUlx1ERdQXF6GwADtxencSy+RQlRFERaBmCtVla6c6UZfHCRMmYNq0aQavxlxEobquri7IsmzwaojIaNFoFOFwWPHYeEN13CghMR0dHYrjiXaqE4XqPvzwQ15XGejcuXNobW1VPLZ48WJjF5Og4uJixXGG6ihdUg15K5EkCdXV1YrHGKojK8r0UJ1ZO9UxVJcZGKojIiIiIiIiIiIiIiLSkCzL6O3tRVdXF3p7e1lwSkQ0Trm5uXA6nYrHWPyZOcbTqU4UqmMBtpjeO3Onu0jJ6kSFZql0VtCa2v/H2Riqq6urgyRJBq/GXEShung8zgJBoiygdt6VaqiOGyUoE13zaBWqA9itzkg7duwQHmOnOqLE6NGpDgBDdZRRMj1Ux051pCdHuhdARERERERERERERERkda2trWhoaEBLSwuOHDky4gMzr9eLiooKVFdXY/ny5ZgxY0YaV0pEZF6SJMHv9+Ps2bOjjgUCgTSsiPQgKiq5uOiaXU0SV11djb179+o6PyXP6p3qMrlToShUV19fb/BKzEcUqgOAzs5O5OfnG7gaIjKaWvCNoTp9aBWqKysrQ35+PoLB4Khjzc3NWLp0aVLro8Ts3LlTcXzatGmYPHmywatJDEN1ZDZ6dKoDxNe5hw4dSmleonRQC7ilcu/B6XTCZrMhHo8n9JpaE92XYKiOtMBQHRERERERERERERERUZIaGxvx4osv4sCBA8LHdHd3Y8+ePdizZw82b96MuXPn4qabbkJdXZ2BKyUisoaioiLFUB071WWOVDrVsQBbrK6uTtdQ3cKFC3WbOxuICs3MFKqz2WxwOp2IRCKjjmVqp7rz58/j+PHjisd4rj52qG7q1KkGroaIjKZ23jXezkCix0WjUYTDYbhcrqTWlqlE1zw+ny+heSRJQm1trWKntKampmSWRkkQdapbvHixwStJnChU19HRgWg0CoeDpedkLKM71b3//vuIx+Ow2WwpzU9kJLXNcFIJnkmSBI/Ho3huaIZOdal04dMCQ3WZgWc2RERERERERERERERECQoGg3jyySfR0NAwMCDLiHV1IR4MIt7XB7m/H7IsQ5IkSG43bB4PbPn5sBcU4MCBAzhw4ACWL1+ONWvWsMMDEdFFRF0YGKrLHKIC7fGE6tipTmzFihV4+umndZ2fkicqNEu1CFRrbrdbMVSXqZ3qRF3qAAZJgbFDdUSU2fTsVAcMnNcxVDdSR0eH4niineoAMFSXZvF4XNipzsqhOlmWceHCBUyYMMHgFVG206tT3ezZsxXH+/v78cEHH2DGjBkpzU9kJNF1u9PphN1uT2luM4TqrNapjhuDWQsj1ERERERERERERERERAlobW3FPffcMxCok2VEz59H6OBBhI+fQDRwAfG+EOS4DMiAHJcR7wshGriA8PETCB08iOj584AsY9u2bbjnnnvQ2tqa7m+JiMg0/H6/4nggEDB4JaQX0U7NFxfDiQrj+vr6EI/HdVmX1a1atQqTJk3SZe7S0lKsWrVKl7mzhSgQaqZOdYC4GC1TO9WJQnVlZWUoKyszeDXm4/F4hJ1oGKojynxqmxloEapjofFooo1Ekg3VKWGozhjvv/++8L1y0aJFBq8mcaJQHQC0tbUZuBKiAXp1qquqqhIea2lpSWluIqOJQmdadHIT3btgpzp2qssU7FRHREREREREREREREQ0Tq2trXjwwQfR3d2NeCiEyMmTiPcOfHBY4HZhadkUVPp8mJqfD7fDgf5oFCeDQRzu6MD206fQ1R9G5MMziHV2wjl1KgKBAB588EFs2LAB5eXl6f3miIhMgJ3qMp+oqGQ8neqAgYKdVHejz0QulwuXX345XnvtNc3nXrt2LTvJpEhUaGa2UJ2oGC3bOtXV19cbvBJzkiQJhYWFaG9vH3WMoTqizCcKvUmSNO7iZYbqxq+vr09YLJ5MqK6mpkZx/MSJE+ju7hYWgJM2lLoEAoDdbrdEN9zi4mLhMYbqKB306lRXUFCA0tJSnDlzZtSxlpYWfOpTn0ppfiIjZXqozmqd6hiqsxZ2qiMiIiIiIiIiIiIiIhqHYDCIdevWDQTqensRPnIE8d4+5Dmd+PPL5uHRa6/DrXPmYGFpKSbl5cHndmNSXh4Wlpbi1jlz8Oi11+HPL5uHPKcT8d6+wef3oru7G+vWrUMwGEz3t0hElHYM1WU+UTHceEN1al1TstnPfvYzXQJ1CxYswNq1azWfN9uICs1S7aygtWzrVNfY2Kg4XldXZ/BKzKuwsFBxnKE6osynFmCQJGlcc6i9zzFUN5La9Y7P50t4PlGnOgA4ePBgwvNRYkShunnz5llig5CcnBzhOhmqI6PJsqxbpzoAqK6uVhxnpzqymkwP1bFTHemJoToiIiIiIiIiIiIiIqJxePLJJxEIBBAPhRA+dgxyLI6qoiI8fPXVWDZ1Ghw29Y9dHDYblk2dhoevvhpVRUWQY3GEjx1DPBRCIBDAU089ZdB3QkRkXn6/X3E8EAgYvBLSy3g61akVmjJUN9rvf/97fPWrX9V83sLCQmzatAlOp1PzubON6OfWKp3qMjFUd/r0aXz44YeKxxiq+whDdUTZSxR6SyTAwHO68evo6BAeS6ZT3YwZM4TnGU1NTQnPR4kRheoWL15s8EqSV1JSojjOUB0ZLRwOIxaLKR7TIqQqCtUdOnQo5bmJjCQKuGlx3yHdobp4PI5wOKx4jJ3qSAsM1REREREREREREREREY2hsbERDQ0NgCwjcvLkcKDuW/X18CW4E6YvJwffqq8fDtZFTp4EZBnbtm0TdssgIsoW7FSX+URFJRcXw7Gryfjt27cPq1evRjQa1XTewsJC/Pa3v1XtckLjp2dxm5ZExWiiHe+tbNeuXcJjDNV9hKE6ouyl1qluvFwuF+x2e0LzZyu1651kQnU2mw01NTWKxxiq01coFMKePXsUjy1atMjg1SRPFKprb283eCWU7dRC2OxUR/SRTO5UJwrUAexUR9pgqI6IiIiIiIiIiIiIiGgML774IgAg2taGeG8f8pxO3H3FFXALisPG4rbbcfcVVyDX6UC8tw/RwV2eX3rpJc3WTERkRQzVZT52qtPOqVOncMMNN6Crq0vTeRcsWIDt27dj6dKlms6bzUSFZloUgWpJFKrLxE51olBdeXm5sIg8GzFUR5S9ROdciYTqJEkSvtcxVDeS6HrH5XIlXSwuCtU1NzcnNR+Nz7vvvivc8IKd6ogSp/Z+ocX11OzZsxXHW1tbM/I6iDJXJofq1Db6MWunup6eHsTjcYNXQ8liqI6IiIiIiIiIiIiIiEhFa2srDhw4AMjycPjtljmzE+5QdylfTg5unTMHwEBYD7KM/fv34/jx4ymvmYjIqvx+v+J4IBAweCWkF1FB3MVFKGrduxiqG9DV1YXPfOYzOHnypPAxjz76KB555BFMmjRpXHOWlpbikUcewdtvv80OdRoT/dyarVOdqNguEzvViTpEs0vdSAzVEWUvLTrVqT2e53QjdXR0KI4XFRVBkqSk5hSdz7FTnb527NihOO71eoVBRzNiqI7MQu39ItH3JCWiTnWyLOPIkSMpz09klEwO1akFXNPdqU70d0iWZcP+fSh1DNURERERERERERERERGpaGhoAADEurogR6IodLuxtGyKJnMvLZuCArcLciSK2GCXmaHXIyLKRqJOdf39/SxEyADRaFRY5HNxqM7pdMLpdCo+jl1NgEgkgptvvhl79uwRPuYb3/gG7r33Xtx///04ceIEnn/+eSxatEjxsT6fD88//zyOHz+O+++/X/hvT8kT/f0yW6guWzrVybIs7FTHUN1IDNURZS+9Q3U8pxtJ1KlOdH00HqJQ3dGjR3ltpaOdO3cqjtfV1cFutxu8muQVFxcrjjNUR0ZTC9Vp0alu1qxZsNmU4xQtLS0pz09klEwO1VmxUx0AdHd3G7gSSgVDdUQGkmUZvb296OrqQm9vL2RZTveSiIiIiIiIiIiIiGgMQx+ex4NBAMCSsjI4BB+0J8phsw0H9Ibm54f1RJTN1IpGRYWmZB1qxdOXFlyzq4kyWZZx11134Xe/+53wMZ///Ofx6KOPDn/tcrlw880346/+6q8UH+92u3HzzTfD5XJpvl4aICo006IIVEuiYrtMC9WdOHFCWBDOUN1IDNURZS/ReVui710M1Y2PkaG6eDzOe086EnWqW7x4scErSQ071ZFZJHIfIRkulwszZ85UPMa/lWQlmRyqM3OnOobqMoMj3QsgynStra1oaGhAS0sLjhw5MuIPpNfrRUVFBaqrq7F8+XLMmDEjjSslIiIiIiKyNlmW0dfXh2g0CofDAY/HA0mS0r0sIiIisjhZlnHkyBEAQHzwA8JKn0/T16gYnG9o/sOHD0OWZZ7LEFFW8vv9wmOBQABlZWUGroa0plYMd2kRSm5uLjo6OkY9LttDdQ8//DCefvpp4fGrrroKP//5zxW7YIi6TbS3t/PcQ2ein1urdKpT2xXeikRd6gBg4cKFBq7E/BiqI8peWnWqE4XwGKobSRSq86VwD2rWrFlwuVwIh8OjjjU3N2P+/PlJz03Kzp8/j6NHjyoeY6iOKDmiaymbzabZxjDV1dXDnwFc7NChQ5rMT2QEUcBNi/sO6Q7VsVMd6Y2hOiKdNDY24sUXX8SBAweEj+nu7saePXuwZ88ebN68GXPnzsVNN93Enc+IiIiIiIjGiRuZEBERkd76+vqGzzHkwd0wp+bna/oa0wbnG5q/u7sboVDIdEXWRERGYKe6zKZWTKIUqlOSzQXYzz77LL73ve8Jj1dUVOBXv/qV8N9OFKqLRqMIBoMoKCjQZJ00mp7FbVoSFaNlWqc6UaiuqqoqpfBCJmKojih7iUIMiYbq2H14fJQ2kwBS61TncDhQXV2N/fv3jzrW1NSU9Lwk1tjYKDy2aNEiA1eSOlGorr293eCVULZTC3lrtTFMdXU1XnnllVHj7FRHVsJOdenBUF1mYKiOSGPBYBBPPvkkGhoaAAzsYhwKhRAKhRCJRBCNRod3+XM4HHA6ncjJyUFOTg4OHDiAAwcOYPny5VizZg3yNS7MICIiIiIiyhTcyISIiIiMEo1Gh/+3LMsAALdD249XhuYbmh8AIpGI6YqsiYiM4Ha74fF4FIsyGKqzPrVikksLrlmAPdIf/vAH3HnnncLjxcXFeOWVVzBhwgTVx4i0t7czVKcjUaGZKACZLqJitEzrVCcqeOd9w9EYqiPKXlp1qhM9Pps3SlAiutZJJVQHALW1tQzVGWjHjh2K41OmTMGUKVMMXk1qRKG6jo4ORCIROJ1Og1dE2Up0D0DLa6nZs2crjjNUR1aSraG6dHeqc7lccDgcIz5LHMJQnXUwVEekodbWVqxbtw6BQACyLKO7uxs9PT2IxWKjHivLMiKRCCKRCHp7e2G325GXlwev14tt27Zh3759WL9+PcrLy43/RoiIiIiIiEzq0o1MIMuIdXUhHgwi3tcHub9/eCMTye2GzeOBLT8f9oICbmRCRERESXFcFKCTJAmyLKM/GgU0/KCuf/DDtot31mVhChFlM7/fj1OnTo0aDwQCaVgNaSmRUJ2oQC4bQ3X79+/Hn/7pnyoW6AADBUS/+tWvUFVVpTrPWKG6mTNnprROEhP93JptE4Vs6FQny7KwUx1DdaOJQnVdXV3D92GJKDMxVGcsvUJ1NTU1iuMM1elDFKpbvHixwStJndq1QyAQwKRJkwxcDWUzrd6P1FRXVyuOnzt3Dh0dHexmTZaQyaE60fdms9lGfIaXDpIkwev1KnYd5vmudTBUR6SR1tZWPPjgg+ju7kYkEsGFCxcQiUQADHzgU1tbiylTpqCkpAQulwvhcBhtbW04deoUmpqa0Nvbi66uLvT19aGoqAiBQAAPPvggNmzYwGAdERERERERRm5kAllGtK0N0bY2yJHRBWWyLEPuCyHeFwICFyA5HXCUlMBRUsKNTIiIiCghHo8HXq8X3d3dkNxuyH0hnAwGMUnDD+0/CAYBANJgEbPX69Xkg04iIqsqKipSDNWxU531iYpJ3G73qEC5KFSXbQUpp0+fxg033ICuri7F45Ik4T/+4z+wdOnSMefy+Xyw2WyIx+OjjjG0qp94PC4MpZktVCc6B82kUN2RI0eEXdbq6+sNXo35iUJ1sVgMPT098Hq9Bq+IiIwiOudKtDMQz+nGR3Stk2qQo7a2VnH8/fffZ7cxjcmyjJ07dyoeW7RokcGrSZ2oUx0AtLW1MVRHhjGiU50oVAcM/L3kdQJZQSaH6kT3JNxutyk2ehGF6tipzjoYqiPSQDAYxLp169Dd3T0clpNlGTk5OVi+fDlqa2tht9tHPCcvLw9FRUWoqqrCNddcg6amJmzbtg2hUAjnz59HSUkJuru7sW7dOjz++OPsoEBERERERFnt4o1M4qEQIidPIt47cIOuwO3C0rIpqPT5MDU/H26HA/3RKE4Ggzjc0YHtp0+hqz+MyIdnEOvshHPqVG5kQkREROMmSRIqKiqwZ88e2DwexPtCONzRgYWlpZq9xpHBD9tsgx9MVlZWmuKDQCKidBF1Y2CozvpExSRKoQzRrvPZ1KkuGAziM5/5DD744APhYx599FGsXr16XPPZbDYUFRWhvb191DGlMdKGqLAN0LYQVAuiTnVq34PViLrUSZKEK6+80uDVmJ8oVAcAnZ2dDNURZTC9O9Vl0zndeCgVYgOpd6oTheqi0SgOHz4s7GRHiTt8+LDwmjXTOtW1tbUZuBLKdkZ0qpsyZQo8Ho9iQKilpYWhOrKETA7V6fm9aUF0XcxQnXXY0r0Aokzw5JNPIhAIIBKJDAfqpkyZgq985Su47LLLRgXqLmW323HZZZfhK1/5CqZMmQJZltHW1oZIJIJAIICnnnrKoO+EiIiIiIjIfC7eyCTe24vwkSOI9/Yhz+nEn182D49eex1unTMHC0tLMSkvDz63G5Py8rCwtBS3zpmDR6+9Dn9+2TzkOZ2I9/YNPr93eCOT4GBnGCIiIiKRoZ1qbYObn711+jSiCh1ekhGNx7H99KkR86vtjEtElA38fr/iODtpWZ+omESpGE4UNsqWAuxIJIKbb74Z7733nvAxX//61/HNb34zoXlFxbEM1elH7WeWneqM19jYqDheU1PDgJiCsUJ1RJS5RO9fWoXq2KluJFEYK9VQXVVVlbB2sampKaW5aaQdO3YojttsNtTV1Rm8mtS53W5hIwheO5CRjOhUZ7PZUFVVpXjs0KFDmr0OkZ5EwTMt7jukO1Sn1qnODBiqsz6G6ohS1NjYiIaGBsiyjAsXLgwH6m666aaEb7h6vV7cdNNNw8G6ofm2bdsmvLFLRERERESU6YY2MomHQggfOwY5FkdVUREevvpqLJs6DQ6b+u0Nh82GZVOn4eGrr0ZVURHkWBzhY8cQD4W4kQkRERGNy7JlywAA9oICSE4HOvv7h4NwqRrqqis5HbAXFIx4PSKibMVOdZkrkU51ogK5bCjAlmUZd999N1599VXhY1atWoWNGzcm3N1WFFplYax+1IrMzBaqy+ZOdVYsdjcCQ3VE2UurzkDZfE43XpFIRHienGqozu12o6KiQvEYQ3XaEoXq5s6da9ngfklJieI4O9WRkYzoVAeIN7praWnR9HWI9CK695DJneoYqiOtMFRHlKIXX3wRwMAfvkgkgpycHNx4441wOp1Jzed0OnHjjTfC7XYjEokMnxC+9NJLmq2ZiIiIiIjIKoY2MoEsI3Ly5HCg7lv19fAlePPPl5ODb9XXDwfrIidPAtzIhIiIiMahvLwcc+fOBSQJjsFikucPHkJHisXFHaEQnjt4EAAG5pUkzJs3DzNmzEh5zUREVsZQXeYSFcMpFZ+ICuSs3KkuHA5j8+bNuPPOOzF//nx4PB7YbDZ4PB7Mnz8fd955JzZv3oy/+7u/w09/+lPhPIsWLcIvfvELYdcRNexUZzy1IjMtuytoQVSQlimd6mKxGHbv3q14rL6+3uDVWENubq7wbw1DdUSZTasQQyae02mto6NDeMzn86U8f21treJ4c3NzynPTR3bu3Kk4vmjRIoNXoh2G6sgMjOhUBwCzZ89WHGeojqxCFDzLhFCd6J6EFt+bFhiqsz6G6ohS0NraigMHDkCW5eEbCcuXL095ZxGv14trr70WwMAfVFmWsX//fhw/fjzVJRMREREREVnK0EYm0bY2xHv7kOd04u4rroA7iaIxAHDb7bj7iiuQ63Qg3tuH6OCHPtzIhIiIiMayevVqAAPhN1uuBz2RCJ547z30x2JJzdcfi+GJ995DbyQKW65nOKw39DpERNlM1EkrEAgYvBLSmqiYRKnYWlQgZ8UC7Egkgh/+8IeYPn06brnlFjz99NPYu3cvQqEQZFlGKBTC3r178fTTT+OWW27B97//feFcs2bNwssvv5x0ASFDdcZT+5k1W6c6UUFapnSqa2lpEf4dYqc6ZZIkCbvVMVRHlLkuroW7VKLnIKJQHTvVfUQtVJdqpzpAHKpjpzrt9Pf347333lM8tnjxYmMXoyHRtQNDdWQkrd6PxqLWqU6WZU1fi0gP6QjVhcNhxJL8jCwR7FRHemOojigFDQ0NAAb+WMdiMeTl5QkvQhNVW1uL3NxcxGKx4TeDodcjIiIiIiLKBkMbmUCWh8Nvt8yZnXCHukv5cnJw65w5AAbCeuBGJkRERDQO9fX1WLZsGSBJcE6dCsluw/sXLuDRxsaEO9Z1hEJ4tLER71+4AMlug3PqVECSsHz5chbzEhGBneoymaiYRKn4RFQgZ7UC7KamJlx11VV44IEHcPbs2ZTm8vv9eOWVVzBx4sSk52CoznhqO7ebLVSX6Z3qGhsbFcftdjvmz59v8Gqsg6E6ouyjViCtVac6q53T6UntOkfPUN3BgwcNKYTPBu+99x7C4bDiMSuH6tipjsxAtElJou9HYxGF6np6evDhhx9q+lpEekhHqE7tdbXETnWkN4bqiFIw1NZ36A2hpqYG9iS7JVzKbrcPX9AOzc82wkRERERElE2GNhaJdXVBjkRR6HZjadkUTeZeWjYFBW4X5EgUsa6uEa9HREREJHLXXXfB7/fDlpMD18yZw8G67/7xDTSc/ADReFz1+dF4HA0nP8B3//jGcKDONXMmbDk58Pv9WLNmjUHfCRGRuYk61TFUZ32i4mml4hNRgZyVOtVt374dS5Yswe7du1Oey+12Y8uWLcJCv/FiqM54aqE6sxSADRGtJ1NCdbt27VIcnzdvnukCjmbCUB1R9lE730o0xJApGyXoSXSdY7PZhEXaiaipqVEc7+/vx7Fjx1Ken4CdO3cqjufm5mrWpCEdGKojMxC9JxnVqQ4ADh06pOlrEekhXaE6tXseWjF7pzrR+TFDddbBUB1RkmRZxpEjRwAAkUgEADBlijbFnUPKyspGzH/48GG2ESYiIiIioqwxtLFIPBgEACwpK4PDps2tDIfNNhzQG5qfG5kQERHRWPLz87F+/Xp4vV7YcnPhqqiALdeD3kgUz+zbj2+9/r947uBB7DpzBmd7etDR34+zPT3YdeYMnjt4EN96/X/xzL796I1EYcv1DD4/F16vF+vXr0d+fn66v0UiIlMQdWMIBAL8rMzisqlTXVNTE1auXImuwc18UrVhwwZcffXVKc/DUJ3xREWgHo8HkiQZvBp1ooI0I3aeN4IoVMdu0eoYqiPKPmrnW1p1quvt7eW5/aCOjg7FcZ/PB5sGn4vNmTNHeM7R3Nyc8vwE7NixQ3G8rq4ODofD4NVoRxSq47UDGUn0nqR1pzq/3y+8XmYdAVmB6Lpdiw1k0h2qY6c60pt1z9aI0qyvr2/4j100GgUgvohI1oQJE0bM393djVAoxB3SiIiIiIgo4128kUl88CZcpc+n6WtUDM43NP/QRiZmK2YiIiIicykvL8eGDRuwbt06BAIBuCsqEG1rQ7StDV39YWwdY4dvyemAo6QEjpISQJLg9/uxfv16lJeXG/MNEBFZgChUF4vF0N3dzRCyhYmKSZSK4UShOit0qotEIvjSl76kWaAOAH7+85/jnnvugdPpTGkehuqMJyowM+Pn/qJQXSZ0qotGo3j33XcVj9XX1xu8GmthqI4o+xgRqovFYgiHw6bpMJJOok51ouuiROXm5qK8vFyxK11TUxNuvPFGTV4nm4lCdYsXLzZ4JdpipzoyA6M61QED3ereeuutUeMM1ZHZxWKx4QY+l2KnOv0xVGd97FRHlKShoBuA4V1zXC6Xpq8xNN/Fu/KI3vSIiIiIiIgyycUbmciDRTtTNS6anDY439D8QxuZEBEREY2lvLwcjz/+OJYvXw5IEhwTJiBnzhy4ZkyHw18EmycHkk0CJECySbB5cuDwF8E1Yzpy5syBY8IEQJKwfPlyPP744wzUERFdwu/3C4+JCk7JGhLpVKfW1cTsNm7cKAzvJGv37t3YuHFjyvOIQnVdXV38LFonogIzPYpAUyUqtuvv77d8N6EDBw4I7/2xU506huqIso9aqC7R9y+1EJ5VOhDrTe9QHQDU1tYqjjc1NWn2Gtmqvb0dhw8fVjy2aNEig1ejLYbqyAyM6lQHALNnz1YcZ6iOzE6tziUTQnXsVEd6Y6c6oiRd3JZbkiTIsoxwOKzpiVo4HB6ef0iqOw8SERERERFZgdJGJm6Htrcxhua7dCMTM+4STkREROaTn5+P++67D8uXL8dLL72E/fv3w15YCLug4PRi8+bNw+rVq1m8S0QkoFY8GggEMH36dANXQ1oSFcMpFZ+ICrbNXnwdDofx2GOP6TL3xo0b8c1vfjOlzV5FoTpg4Pdr0qRJSc9NykRBUDPeg1Lb5d3q3YR27dqlOO5yuTBv3jyDV2MtDNURZR8tO9WphfB6enpUN9TIFqJQnc/n0+w1ampq8Jvf/GbUOEN1qWtsbBQes3qnOrUNOcLhsOZNKIiUGN2pTglDdWR2mR6qY6c60htDdURJ8ng88Hq96O7uhsPhQCQSQVtbm6Y7xJw/fx7ARwE+r9drmlQ1ERERERGRnpQ2MumPRgENb4r1Dwb3uJEJERERpaK+vh719fU4fvw4Ghoa0NLSgsOHD4/4sMzr9aKyshLV1dVYtmwZZsyYkcYVExGZn1rxKDvVWZuomESpOFtUIBcOhxGNRkfcOzCTLVu24OzZs7rMfebMGWzZsgU333xz0nOohera29sZqtOBqMDMjKE6tXqE/v5+0xSsJUMUqrv88sst/X0ZgaE6ouwjCjA4HI6EQzRqITwrdCA2QkdHh+K4EZ3qmpubIcvyiM/KKDE7duxQHJ88eTKmTp1q8Gq0JepUBwxcO0yePNnA1VC2MrJTnShUd/ToUUQiEdYSkGnpHapTm4Od6hiqywTmvMtMZAGSJKGiogJ79uyB0+lEJBLBqVOnUFVVpdlrnD59GsBHRZ2VlZW8gCUiIiIioqxw8UYmktsNuS+Ek8EgJml4c/yDYBAAIA0WzXAjEyIiIkrFjBkzcPvttwMY6IQbCoWGP2jPycnhvV0iogQ4HA4UFBSgq6tr1LFAIJCGFZFWRMUkSsUnagVyfX19yM/P12xdWtq6davu8+sZqiPtiQrM9OiskCq1cFkoFEJBQYGBq9GWKFRXX19v8Eqsh6E6ouyjZYBB7Tlm70BsFNHGIUaE6np6evDBBx+wG3gKRKG6xYsXW/5+oFqorq2tjaE6MoQZOtVFo1EcO3ZMeJwo3fQO1dlsNrjdbsVwGzvViUN1PNe1Dlu6F0BkZUMnSENvOM3NzYjFYprMHYvFhturD83PEzIiIiIiIsoWQxuZAIBtcNfuw4KdOpN1ZHC+ofm5kQkRERFpRZIkeDweFBQUwOPx8ByDiCgJogJSdqqzNlExiVLxiVqBnJmLUkTBHa288847KT3f4/EIO6QxVKcPURGoFTvVWVV/fz/27NmjeKyurs7g1VgPQ3VE2UfLUJ1Vz+mMZESorqamRnhsqEaREifLMnbu3Kl4bNGiRQavRnvckIPSLRaLCcM0enSqq6ysFB5raWnR/PWItKIWqtPq3oNoHnaqE4fqwuEwwuGwwauhZDBUR5SCZcuWARj4o2y329HT06PZRWZTUxN6e3tht9uH/+gPvR4REREREVE2GNpYxDa48/xbp08jGo9rMnc0Hsf206dGzM+NTIiIiIiIiMyDobrMpFWnOlFIyQz0LrTTYn5RcSwLY/UhKjAzY6hurE51VrVv3z5EIhHFYwzVjY2hOqLsIwq7JdMVyOVyweFwKB4z8zmdkUTXOD6fT7PXKCgowJQpUxSPNTc3a/Y62ebo0aPCc+jFixcbvBrtOZ1O4XlAW1ubwauhbKQW1tGjU53H4xF27mSojsxM7XdFq+BZOkN1Vu1UB3ATCatgqI4oBeXl5Zg7dy4kSRr+UGfbtm3CD4PGq7u7G6+//jqAgT+0kiRh3rx5mDFjRqpLJiIiIiIisoyhjUXsBQWQnA509vcPB+FStf30KXT1hyE5HbAXFIx4PSIiIiIiIko/v9+vOB4IBAxeCWlFbXdmpQCdWoGcmQuw9e7mpUWwiaE6Y4kKzPQoAk2VWkGalTvViTpIejwe1NbWGrwa61EL1cmybPBqiMgIWnaqU3sei4wHdHR0KI5r2akOgPA9j53qkrdjxw7FcUmSMia4X1JSojjOUB0ZQe19Qo9OdQAwe/ZsxXGG6sjM1O4VZUKozqqd6gDxBmNkLgzVEaVo9erVAAb+IDqdToRCIbz88svCXc7GEolE8PLLL6O/vx9Op3P4xG/odYiIiIiIiLLF0EYmkCQ4Bj+wef7gIXSkWDzWEQrhuYMHAWBgXm5kQkREREREZDrsVJd51IrhlIpP1AJHZi7A1nuXbC0KhhiqM5YoBGrGTnVqP19W7lQnCtVdeeWVwu5J9BFRqC4Wi5k65ExEyRP9bjNUpw/RNQ5Ddea3c+dOxfGamhoUDG7qaXWiaweG6sgIaueaem1SUl1drTjOUB2Zmeh63WazaXbNy051YgzVWR9DdUQpqq+vx7JlyyBJEoqKiiBJEk6dOoUXXngh4T+E3d3deOGFF3Dq1KkR8y1fvjxjdi4hIiIiIiJKxNAGI46SEthyPeiJRPDEe++hPxZLar7+WAxPvPceeiNR2HI9w2E9bmRCRERERERkLgzVZR4tQ3VmDnGICvDMNL+oMJadIPUhKjAzY6guUzvVNTY2Ko6zDmN8RKE6YKBbHRFlHq071YnO6xiqA+LxuCk61bHzaHJEneoWL15s8Er0w051lE5q7xMM1RF9RBQ6y8nJgSRJmrwGO9WJMVRnfQzVEWngrrvugt/vh9PpRElJyXCw7plnnsG+ffsQG6PYMxaLYd++fXjmmWeGA3UlJSVwOp3w+/1Ys2aNQd8JERERERGRuQxtZAJJgnPqVEh2G96/cAGPNjYm3LGuIxTCo42NeP/CBUh2G5xTpwLcyISIiIiIiMiU/H6/4jhDP9alVkSiVHxis9mExTFmDtXpfY9h4cKFKc/BTnXGEhWY6VUEmgqn0yksuLNqqK63txcHDhxQPMZ7guPDUB1R9tE6VCd6npnP6YwSDAaFgTafz6fpa9XU1CiOd3R04OzZs5q+VjYIh8N49913FY8xVEekDbX3iWTfk8YiCtWdOnWK4RgyLbVQnVbMGKozS6c6tfs7/LthDQzVEWkgPz8f69evh9frhcvlwoQJE+B0OtHf349XX30VTz31FF5//XW0tLTgwoUL6OnpwYULF9DS0oLXX38dTz31FF599VX09/fD6XRiwoQJcLlc8Hq9WL9+PfLz89P9LRIREREREaXN0EYmtpwcuGbOHA7WffePb6Dh5AeIxuOqz4/G42g4+QG++8c3hgN1rpkzYcvJ4UYmREREREREJsVOdZlHrYhEVAxnxa4mK1asMP38DNUZS1QIasZOdZIkCYvSREV6Zrdnzx7hRsgM1Y0PQ3VE2Ud0rpVsIFx0rmfmczqjqF3fGNWpDhjoVkeJ2bNnj7DIf9GiRQavRj+iUB2vHcgIaqE6va6n1LrDv//++7q8JlGqMj1UJ/r+zBKqs9lswvNkhuqswZHuBRBlivLycmzYsAHr1q1DIBDAhAkT0NPTg+7ubvT29mLXrl2qz7fb7fB6vcjLy4MkSfD7/Vi/fj3Ky8uN+QaIiIiIiIhMamgjkwcffBDdAFwVFYicPIne3j48s28/XmxpwdKyKajw+TAtPx9uhwP90Sg+CAZxpKMD20+fQld/GABgy/XAOXUqbDk53MiEiIiIiIjIxBiqyzxqRdOiQuu8vDzF7oRm7mqyatUqTJo0SZduH6WlpVi1alXK8zBUZyxRgZkZQ3XAQFGaUsGaVTvViWo1vF4vZs+ebfBqrCkvLw92u10xnMhQHVFmMqpTHUN1xobqiouLMXHiRJw7d27UsaamJnz84x/X9PUy3c6dOxXHPR4PLrvsMoNXox92qqN0Er1P5OTkwG636/KaM2bMgMvlQjgcHnWspaUFV155pS6vS5QKI+47mLFTnZahwVR5vV7F+5UM1VkDQ3VEGiovL8fjjz+Op556Ctu2bRsOyYVCIYRCIUQiEUSjUciyDEmS4HA44HQ6kZOTg5ycHEiSBABYvnw51qxZw8JOIiIiIiKiQZduZOKuqEC0rQ3RtjZ09Yex9dgx1edLTgccJSVwlJQA3MiEiIiIiIjI9Px+v+K4UsCKrEFUROLxeITFcKJdns0cqnO5XLj33nvxwAMPaD732rVr4XK5Up6HoTpjiQrMku32o7ecnBzFoJRVO9U1NjYqji9cuBA2m83g1ViTJEkoKChQDH4wVEeUmUTnWsmG6qzYfdgoaqE6tU6hyaqtrRWG6igxO3bsUBxfuHAhHI7MKc0WXTswVEdGEL0f6XktZbfbUVlZqfh3saWlRbfXJUoFO9Wln9frVTzHYqjOGjLnzI3IJPLz83Hfffdh+fLleOmll7B//354PJ5xpb3nzZuH1atXo66uzoCVEhERERERWculG5k4JkyAo6QEsa4uxINBxPv6IPf3D29kIrndsHk8sOXnw15QAHAjEyIiIiIiIssQdWXo7OxEPB5nEMKCREUkasXZVi3AXrt2LZ577jns3r1bszkXLFiAtWvXajKXKLTa3t4+fF+FtCMqBDVzpzolmdapjnUZiSksLGSojiiLGNWpzswbJRilo6NDcTw/P1+XYFZNTQ1ef/31UePNzc2av1amE4XqFi9ebPBK9MVOdZROWr8fjVd1dTVDdWQpmR6qs0qnOiUM1VkDQ3VEOqmvr0d9fT2OHz+OhoYGtLS04PDhwyP+OHq9XlRWVqK6uhrLli3DjBkz0rhiIiIiIiIi81PayMReWAj7OHbr5EYmRERERERE1iEK1cmyjM7OTuFxMi9REYmo6ASwbgG20+nEpk2bsGTJEnR1daU8X2FhITZt2gSn06nB6sTdJiKRCLq7u7kRkcZEBWZmDdWJitKsGKoLBoM4ePCg4jHeI0yMqFsSQ3VEmcmoUJ3ZN0owgqhTnV7XO7W1tYrj7FSXmAsXLgjDNYsWLTJ4NfoSheq6u7sRCoVMFWigzJOOTnXAQKhOCUN1ZFaZHKqTZdkyneqUMFRnDQzVEelsxowZuP322wF89Ic9EonA6XQiJyeHu/wRERERERElgRuZEBERERERZTZRJy0ACAQCDNVZkKhoWi1UJyqUM3uoDhgoWH7llVewcuXKlIJ1hYWF+O1vfyssgE6GKFQHDHSrY6hOW6ICM70LQZMlKkoTFbGZ2bvvvgtZlhWP1dfXG7waa2Oojii7iM7bkn3vYqhOzCyhunPnzqGtrU0YoKKRGhsbhceypVMdMHDtMGXKFANXQ9kmnZ3qlBw6dIjd3cmUjAjViebSO1QXiUSEx8wU7GaoztoYqiMykCRJ8Hg8pt1xjoiIyCpkWUZfXx+i0SgcDgc8Hg9vWBARZSluZEJERERERJSZ1IpIRYWnZG7JdKoTFW5bpQB76dKleOutt3D77bdj9+7dCT9/wYIF2LRpk6aBOmDsUF15ebmmr5ftRCFQs9YNZFKnOlHBu8/nw6xZswxejbUxVEeUXbQOMVj9nE5Pomsbn8+ny+upnVc2Nzfjmmuu0eV1M82OHTsUxydNmoTp06cbvBp9MVRH6WS2TnWdnZ04f/48Jk6cqOvrEyUqkzvVqW3wY4VOdTzftQaG6oiIiIjIElpbW4c7ER05cmRUJ6KKigpUV1dj+fLl7ERERJSluJEJERERERFR5igoKIAkSYodhhiqsyZRqE6tOFt0zAqd6obU1tbi7bffxsaNG/HYY4/h7NmzYz6ntLQUa9euxdq1a+F0OjVfk8/nE/5+tbe3a/562Wxok0AlZr2HlUmd6nbt2qU4XldXx824EsRQHVF2EZ1rJRuqy4RzOr10dHQojuvVqW7SpEnw+XyKr8tQ3fjt3LlTcXzRokUZd46h1kW+ra3NwJVQNkpXp7rZs2cLj7W0tDBUR6ZjxH2HdIXq1Db4Yac60gpDdURERERkao2NjXjxxRdx4MAB4WO6u7uxZ88e7NmzB5s3b8bcuXNx0003oa6uzsCVEhERERERERERkVZsNhuKiooQCARGHVMaI/PTslOd1QqwnU4n7r//fnzzm99ETU0Njh49OuoxkydPxsqVK7FixQqsWrUKLpdLt/XY7Xbh7xdDddqKRCKIx+OKx/TurpAsUajOip3q1EJ1lBiG6oiyi9YhBtHz2LlDvGGIXqE6SZJQW1uL7du3jzrW1NSky2tmGlmWhZ3qFi9ebPBq9OdwOIRBTIbqSG/p6lQ3YcIEFBYWKp7rtrS04Oqrr9b19YkSxU516cdQnbUxVEdEREREphQMBvHkk0+ioaEBACDLQGdfBMFQBH2RGPojccRlGTZJgttpg8dpR36OE4UeJw4cOIADBw5g+fLlWLNmDfLz89P83RAREREREREREVGiRKEfdqqzJlHRdDKhOqsWYLtcLjgcymUaDz30EO6++27D1lJcXMxQnQHUAqBm7VQnKrqzWqe6Cxcu4PDhw4rH6uvrDV6N9TFUR5Q9ZFnWvFNdpp3TacnoUB0AhupS1NraivPnzysey8RQHQCUlJQwVEdpka5OdZIkobq6Go2NjaOOtbS06PraRMnI5FAdO9WREWzpXgARERER0aVaW1txzz33oKGhAbIMnAuG0PRhF4639yDQE0ZfOIa4LAMA4rKMvnAMgZ4wjrf3oOnDLpwLhiDLwLZt23DPPfegtbU1vd8QERERERERERERJUxUSMpQnTWJikjUiuFEx6zWqe5iwWBQcdzozeGKi4sVxxmq05ZacZlZQ3WZ0qlu9+7dwmPsVJc4huqIskdfXx/kwc/iL5VsZ6BMPKfTiujaxufz6faaNTU1iuMM1Y2PqEsdkLnnGCUlJYrjDNWR3tLVqQ4AqqurFccZqiMzyuRQHTvVkRHYqY6IiIiITKW1tRUPPvgguru7EYrEcCLQi75wDADgys3H5DkL4Ssrh7ekDHanC7FIGN1tp9FxuhUfHnwH4d4gPuwIoaM3gun+XAQCATz44IPYsGEDysvL0/vNERERERERERER0bj5/X7FcaXuWmR+oiKSbOpUB4j/HRiqy0xqxWVGFIImQ1R0Z7VQnVJXCQCYMGECpk2bZvBqrI+hOqLsoXaelWxnINHzrHxOpxWl7l+A/p3qlJw6dQpdXV0oKCjQ7bUzwc6dOxXH58yZo2sYMp0YqqN0Eb1PpDNUd+jQId1fmyhRmRyqY6c6MgJDdURERERkGsFgEOvWrUN3dzd6+qM41taDWFyGIycX1dfciMlzFsJmH30Km+srwcTKy1H5sRvw4cF30PLGy+gL9eLwuW7MLMkD0I1169bh8ccfN7wwgYiIiIiIiIiIiJLDTnWZRVQMl0yozqpdTWRZZqguy6j9rFqtU53a7vBmtGvXLsXxuro6SJJk8Gqsj6E6ouyh9t6lR6hOluWs/rssurZJR6gOAJqbm7F48WLdXjsTiDrVZfK/myhUx2sH0pvoPSnZ96NEiEJ1hw8fRiwWg91u130NROOVyaE6dqojI9jSvQAiIiIioiFPPvkkAoEAQpHYcKDOVzYTS7/0bUyZu1gxUHcxm92BKXMXY+mXvg1f2UzE4jKOtfUgFIkhEAjgqaeeMug7ISIiIiIiIiIiolSJOtUxVGdNyXSqExXKWTVUN1Q4rkTt30EPDNUZQ624zGqhOqt1qhOF6urr6w1eSWZQC9WJ/q4RkTXp0alOtFGCLMuWC21rSZbltITqpk2bJjz3bGpq0u11M0EkEsHu3bsVj2VjqI6d6khvomt/IzrVzZ49W3E8HA7jxIkTur8+USJE9x60vO+gFqrT85pQ7V6Ey+XS7XUTJTpPZqjOGhiqIyIiIiJTaGxsRENDA2QZOBHoHQ7ULfj8Gri9yh/Uibi9hVjw+TXDwboTgV7IMrBt2zY0Njbq9B0QERERERERERGRlkSFpIFAwOCVkBZERSRqxdmiQjm1Ym8zUyukYae6zGTFUJ1oJ3srhR7Onz+P48ePKx6rq6szeDWZQRSqi0ajuncmICJj6RGqU3ueVTdL0EJfXx8ikYjiMZ/Pp9vrSpKEOXPmKB5jqE7dvn37hOdEixYtMng1xhFdOzBUR3oTvScZ0amuqqpKeKylpUX31ydKRDo71cmyjHA4rNnrXEr0vbndblN1O2anOmtjqI6IiIiITOHFF18EAJzvDqEvHIMjJxeX33AH7M7kdhSxO124/IY74HB70BeO4Xz3wK4lL730kmZrJiIiIiIiIiIiIv2IQnXsVGdNyXSqE4XqrFp8HQwGhccYqstMop9Vp9MJh8Nh8GrGJxM61Ym61AHAwoULDVxJ5hCF6oCBbnVElDnUQnXJdgZSCz9YdbMELahd1+jZqQ4AamtrFcebm5t1fV2r27Fjh+J4Tk4OLr/8coNXYxx2qqN0SWenOq/Xi7KyMsVjDNWR2aQzVAeobyiUKtG9CC2/Ny2I7m/29PQgHo8bvBpKFEN1RERERJR2ra2tOHDgAGQZOB8c2Lmk+pobE+5Qdym3txDVyz4HADgf7IcsA/v37xfuTkpERERERERERETm4ff7FccZqrMmUcG0WqhOVICdiaE6tX8HPYhCdewEqS1RYZlZu9QB4sK0TAjVlZWVCQtjSR1DdUTZQ3TO5na7Ybfbk5qToTplZgzVsVOdOlGobsGCBXA6nQavxjgM1VG6pLNTHQBUV1crjjNUR2aTyaE6tU51ZqJ2X8+q9zGzCUN1RERERJR2DQ0NAIDOvgiisThcefmYPEebnUInz1kIV24+orE4ukKREa9HRERERERERERE5iUqJGXox3pkWda0U100GkU4HNZkbUayQqe6zs5ORKNRQ9eSyUSFZUZ0VkiWqDBNVMhmRqJQXX19vcEryRwM1RFlD1HRbyoBBrX3PYbqlPl8Pl1fWxSqa21tzer/T8ayc+dOxfFFixYZvBJjiUJ1vb29ugYpiNLZqQ4Qh+oOHTpkyOsTjVcmh+qs3qkOgPCeKJkHQ3VERERElHZDO/gEB0Nvk2cvhM3u0GRum90xHNDr6ouMeD0iIiIiIiIiIiIyL1Gorru7G5FIxODVUCrC4bAwqKVWoK12zIq7PIuKaHJycuBwaHNPfLxEoTqAwVUtiX5OzdypThSqy4ROdXV1dQavJHN4vV7YbMplZgzVEWUWPboCZdo5nVY6OjoUx3NycnQvFK+pqVEcl2WZYRGBzs5OHDx4UPHY4sWLDV6NsUShOgBob283cCWUTWRZZqc6onHKxlCdlTrVMVRnfgzVEREREVFaybKMI0eOAAD6IjEAgK+sXNPXKJxcPmL+w4cPQ5ZlTV+DiIiIiIiIiIiItOX3+4XHRAWoZE5q3S6S6VQHWLMAW9SpzugudYB6qI6FsdoRFZaZOVQnKrqzSqe606dP4/Tp04rHGKpLniRJKCgoUDzGUB1RZtEjwOBwOOByuRJ6vWwg6lQn2lxESzNnzhQWozc3N+v++lbU2NgorDPJ9FCd2rVDW1ubgSuhbBIOhxGPxxWPGdWpbvbs2YrjJ06cYJdGMhUj7j2kK1QnuhfBUB1piaE6IiIiIkqrvr6+4QuH/sjAzRBvSZmmr5E/oWzE/N3d3Zb58JeIiIiIiIiIiChbqRWTspOWtagVjyQbqrNiAbYoVKf2b6AXhuqMISosM6oINBlW71Qn6lIHMFSXqsLCQsVxhuqIMovoHCvV9y7R8614TqeVdIbq7HY75syZo3isqalJ99e3oh07diiOl5SUoLy83NjFGKyoqAiSJCkeY6iO9KL2/pDuTnUXbyBPlG6yLAuv1zO5U53eXX0TpXZvL5vPd62CoToiIiIiSqtoNDr8v+ODu3rZncq71CVraL74RbuGRSIRTV+DiIiIiIiIiIiItKVWTCoqQCVzUgvVqRXDqR2zYqc60b9DOjrVeTweYUEUQ3XaEf2cWrFTndVDdeXl5SgpKTF4NZmFoTqi7KBHpzq151vxnE4romsan89nyOvX1tYqjjNUp2znzp2K44sXLxYGzjKFw+EQXp8zVEd6UXt/MGqTkpkzZ8Jutysea2lpMWQNRGNRu1bXMnjmdDphsylHj9ipDnC5XHA6nYrH2KnO/BiqIyIiIqK0cjgcw//bNnijMRYJa/oaQ/PZLrqRKbqIISIiIiIiIiIiInPIy8sT3sdjqM5a9OhUZ8UCbFGnunSE6gDA7/crjjNUpx1RYZmZQ3WiwjRRIZvZiEJ17FKXOobqiLKD6BxLr1BdNnfu6OjoUBw3olMdANTU1CiOM1Q3mizLwk51ixcvNng16SHanIChOtKLGTrVOZ1OzJo1S/HYoUOHDFkD0VjUrtW1DNVJkiS8l8FOdQNE9zgZqjM/huqIiIiIKK08Hs/wBYXbOXB62t12WtPXCJ4/PWJ+r9drygsrIiIiIiIiIiIi+ogkScKC0kAgYPBqKBVqxXBqwbmcnBxh1wcrFmCLQnVqwUI9FRcXK44zVKcdUWGZUZ0VkmHlTnWyLKOxsVHxGEN1qWOojig7GN2pzorndFoRbRRiVKhO1KnuyJEjlnjfN9KJEydw9uxZxWPZHqrjtQPpxQyd6gCgurpacZyd6sgsjArVAeINgtipbgBDddbFUB0RERERpZUkSaioqAAAeJx2AEDH6VZNX6Pzw9YR81dWVgoLMYiIiIiIiCjzyLKM3t5edHV1obe3F7Isp3tJREQ0TqKCUnaqsxZR8UheXh5sNnHZgiRJwmI5dqpLHUN1+hP9nLJTnT5OnDgh7JbCUF3qGKojyg56hepE53QM1Y2W7lBdLBbD+++/b8garGLnzp3CY/X19QauJH3YqY6MluzmPFpjqI7MLtNDdexUR0ZwpHsBRERERETV1dXYs2cP8nOcCPSE8eGhd1D5sRtgs6d+uhqPRfHhwXcAAAUe5/DrERERERERUWZrbW1FQ0MDWlpacOTIkREfWnm9XlRUVKC6uhrLly/HjBkz0rhSIiJS4/f7FccZqrMWtVDdWHJzcxWL6awYqhP9OzBUl7lEhWVWDNXFYjFEo1E4HOYtNdq1a5fw2MKFCw1cSWZiqI4oO4hCDKkGGETnfVY8p9OK6JrG5/MZ8vqVlZVwOByIRqOjjjU1NWHevHmGrMMKduzYoTheXV1tWAgy3UTXDgzVkV5E7w92ux0ul8uwdcyePVtxnKE6Mgu1QJvW9x7YqU4dQ3XWZd47XURERESUNZYtW4bNmzej0OOEw25DuCeIDw++gylzF6c894cH30G4NwiH3YaCHOfw6xEREREREVFmamxsxIsvvogDBw4IH9Pd3Y09e/Zgz5492Lx5M+bOnYubbrqJ3SuIiExIVKAYCAQMXgmlQlQ8Iio2uVgmdTVhp7rsIyosM7KzQqLUdnvv7++3ZKiuqqrKsIBCJmOojig76NWpTvR8K57TaaWjo0Nx3KiQltPpRFVVFZqbm0cdUxrLZqJQ3eLFqde0WAU71ZHRRKG63NxcSJJk2DpEG7e3tbUhEAgIN4MiMgo71ZkHQ3XWZd47Xf+fvX+Pj+I60MTvp6pvaqklte4Cg5ANyNwMCQZzsQOT5JexceyAx2s7Ozaz+cWffe1sSCZ4HLDjvOMlk8SXxCZjPDvJO5+wGzOTGZuxDXZiM5PNJFZiIRCIi0FgGQZxRyBEq1vqe1W9fzSSkenTSOqq6qru5/tP4i7p9NEFdVX1ec5DRERERAWjsbERM2fOxMGDB1FT6sbZQBSdf3gb1ZOmweNL/wbdSMT6+9DZ/BYAoKbUA0kCZs2axQYCIiIiIiKiPBQKhfDTn/4Uzc3NqQc0DUowCDUUghqJQIvFoGkaJEmC5PFA9nohl5bCUVaGgwcP4uDBg1i6dCkeeeSRnC1sJyKiq4kWlLKpzl5Ei6VHEqrLp1YTUahuJN8HIzBUZzzR76kdm+qA1GK2bEMVRmpra0v7ODfP0AdDdUSFQfTaxVCd/kTXNGY2n82YMSNtgK6jo8O0OVhdMpnE7t270x675ZZbTJ5N7jBUR2YzKuQ9WqJQHQB89NFHBRWuJWvK91CdnZrqRH+fGKqzPjnXEyAiIiIiAoB7770XAFDjK4LX7UAyGsb+d16BkoiPaTwlEcf+d15BMhaB1+1Ajc8z7HmIiIiIiIgof3R1dWHVqlWpQJ2mIXnhAqKHDyN+/ASSvZegRqLQVA3QAE3VoEaiSPZeQvz4CUQPH0bywgVA0/Dee+9h1apV6OrqyvWXREREl4l2/GZTnb2IFo+MZDGcqNErn0J1bKrLX6KFZVYO1V2rqc6qNE0TNtUxVKcPhuqICoNRIYZ8ah/Wi1VCdekwVPexAwcOCM/pCilMw1AdmS1TU52Zxo8fL3zODz/80NS5EKWTKVSnd/CMTXWZsanOvthUR0RERESWMH/+fCxZsgTNzc1oqCzGkfP9CJw5hvY3f4bZd/7FqBrrYv192P/OKwicOQaHLKGhshiSBCxdupRvnBIREREREeWZrq4uPPnkk+jv74cajSJx6hTUcOoNvDKPG4vHX4cpfj8mlJbC43QilkziVCiEI4EAWs6cRjAWR+LsOSh9fXBNmIDe3l48+eSTeOaZZ9DY2JjbL46IiNhUlydEi0dG0tCWTwuwRd8Hhuryl2hhmdkLQUcj06K7TIv1cu3o0aPCcNf8+fNNnk1+YqiOqDAYFarLp/ZhPcTjceHX7vf7TZuHKFT34YcfIplMwunkEuMdO3akfdztdmPOnDkmzyZ3RKE6XjuQUazSVCdJEpqamrB3796rjnV2dpo6F6J0MjW5SZKk63OxqS4zhursi011RERERGQZjz76KCorK1HkcuD66hI4ZAmBM8fQsul5nD64A6qSzPj5qpLE6YM70LLp+aFA3fXVJShyOVBZWYlHHnnEpK+EiIiIiIiIzBAKhfD000+nAnXhMOJHj0INR1DicuH/vWkWXviTz+KBadNwc3096kpK4Pd4UFdSgpvr6/HAtGl44U8+i//3plkocbmghiOXPz+M/v5+PP3008I2GSIiMg9DdflBtBhuJKG6fFqAbaemOk3TTJ5NfhL9nlq5qS7TwjQrN9WJWuokScKnP/1pk2eTnzKF6vg3gyh/iM7bsg2Ei87p7LhRgh4CgYDwmJlNddOnT0/7eCKRwH/+53+aNg8rE4XqPv3pT8Ptdps8m9wRheoikYgtr83I+qzSVAcATU1NaR9nqI6sQBQ6M6LJjU11mTFUZ18M1RERERGRZZSWlmLdunXw+Xwo8TgxpdYHr9uBZCyCjt+8ij/8/G/Q2fwWuj/aj3CgB7GBIMKBHnR/tB+dzW/hDz//G3T85lUkYxF43Q5MqU2N4/P5sG7dupwtTCAiIiIiIiJj/PSnP0Vvby/UaBTxY8egKSqmVlTg+7fdhiUTJsIpZ34bxCnLWDJhIr5/222YWlEBTVERP3YMajSK3t5e/OxnPzPpKyEiIpHKysq0j/f29po8E8qGEU11dly4KQrVjeT7YARRqC6RSHDBj05EC8usHKrLtDDNyk11bW1taR+fPn16zv6N5RtRqC6RSFj6d4OIRseoZqB8ah/WQ6ZNQswM1TU1NUEW3D/r6OgwbR5WtnPnzrSPL1iwwOSZ5Jbo2gEAenp6TJwJFQqrNNUBwI033pj2cYbqyApE12JG3HdgU11mDNXZF7uZiYiIiMhSGhsb8cwzz+Dpp59Gb28vptaW4kJ/DBdCMcTDIRxv/33Gz3c6ZNSUelDj80CSUotu1q1bh8bGRlPmT0REREREROZoa2tDc3MzoGlInDo1FKj7q/nz4XE4RjWWv6gIfzV/Pl5oa8NHly4hceoUPJMn47333sPSpUsxf/58g74KIiK6FjbV5QfR4pGRLIbLlwXYmqYJvw9Wa6oDUm113Kgue6KFZbloVxipfGuqmzdvnskzyV+iUB2QaquzcliUiEZOtHFBtiEGNtUNl+l6xu/3mzYPr9eLG264AUeOHLnqWEdHB1asWGHaXKwoGAwKw4WFFqoTNdUBqVBdQ0ODibOhQmCHprqPPvoIqqoKw8lEZhDdd2BTnfkYqrMv/hUnory1Y8cO/K//9b+EFexERGRdjY2NePnll7F06VJIElBb6sGMcWVorC5BZYkbXrcDsiQBAGRJgtftQGWJG43VJZgxrgy1palA3dKlS/Hyyy8zUEdERERERJSHXn/9dQBAsqcHajiCEpcL/+NTnxp1oG6Qx+HA//jUp1DsckINR5C8vMPyG2+8oduciYho9EShumg0auiCDdJXNk11ogXYdmuqi0QiUFU17TGrhuooe6LfUyuHj+wYqlMUBe3t7WmPcYMM/VwrVEdE9qcoirANxKhQnd3O6fQSCATSPu5wOExvWJ0xY0bax9lUlwrta5qW9lihher8fr8wOMSmOjKClZrqRKG6cDiMM2fOmDwbouFE5275EqrLh6a6Qt1Ewk7YVEdEeWn37t34/ve/DwB49913sW7dOsydOzfHsyIiotEoLS3F448/jqVLl+KNN97AgQMHUO51odzruubnzpo1C/feey93HyUiIiIiIspTXV1dOHjwIKBpQ+G3+6fdCH+WbxL6i4rwwLRp+N8fHECypwfO6mocOHAAx48fx6RJk/SYOhERjVJlZaXw2KVLlywdTKGPiRaPjGTBcL401YVCIeExsxdOD/L7/ZAkKe1C4d7e3hzMKP+IFpZZ+W+Xw+GA0+lEMpm86phoMVuudXZ2CsO7fK9IPwzVEeW/TAE3NtXpS9RUV1FRAenyBsNmmT59Ot56662rHj906JCp87CinTt3pn28qqoKN9xwg8mzyS2Hw4HKysq0ATqG6sgIVmqqmzp1qvDYhx9+iAkTJpg4G6Lh8j1Ux6Y6MgNDdUSUlwYv9BVFgcPhwFtvvcVQHRGRTc2fPx/z58/H8ePH0dzcjM7OThw5cmTYxYbP58OUKVPQ1NSEJUuWcKEjERERERFRnmtubgYAKMEgtEQS5R4PFo+/TpexF4+/Dq93diIYi0MJBuEoL0dzczNWrlypy/hERDQ6oqY6ILUQdfz48SbOhsYqm6Y60YI5u7WaZArV5aqpzuFwoKKiIm2Ajk112VMUBfF4PO2xXCwEHY2ioqK0/26t2lTX1taW9nGHw4E5c+aYPJv85fP5hEFchuqI8kOmgFu2r135slGCXjKF6swmaqo7dOgQVFUVtpMVgh07dqR9/JZbbjE9/GgF1dXVaQN0vHYgI1ipqa6iokL4+79s2TJMnz4d8+bNwx133IHly5fD7XabPkcqXPkeqsuHpjqG6qyPoToiyjv9/f3Yt28fACAQCKCqqgp79+5Ff39/znZ5JCKi7E2aNGloAaOmaYhGo0gkEnC5XCgqKirIG5ZERERERESFqrOzEwCgXl6cvmj8eDh1WuDjlGUsHn8dth07BjUUgqO8fOj5iIjIfNcK1ZE9iBaPjGQxnOhj7Baqy7SAJlehOiDVssFQnTEyLSqzclMdkFqclu531qpNdbt27Ur7+KxZsyz/vbYTWZZRVlaWNkDHUB1RfsgUcDOqqS4cDkPTtIJ7v190LeP3+82dCMShukgkguPHj+P66683eUbWoGmaMFS3YMECk2djDdXV1WkfZ1MdGcEqTXWJRALr168Xnu8mEgns378f+/fvx8aNG1FXV4fHHnsMq1evhsvlMnWuVJjyPVTHpjoyQ+FuIUFEeWvHjh1QFAWJRGIocKEoirCOnYiI7EeSJHi9XpSVlcHr9RbcDXYiIiIiIqJCpmkajh49CgBQL79RN0XnBUeTL483OP6RI0fStjEQEZHxioqKhAs20gWByJpEC7SzaaqzW6tJpqa6XG4MWlVVlfZxhuqyZ/dQXTpWbaoThermz59v8kzyX3l5edrHGaojyg+ZNi0wKlQHGLsQ26oCgUDax3PRVDdt2jThsY6ODhNnYi2nT5/G2bNn0x675ZZbTJ6NNYiuHRiqIyOIrvnNDNV1dHRg4cKFWLt2LRKJxIg+p7u7G2vXrsXChQsL+m8omadQQ3V2aqpLJBKIx+Mmz4ZGg6E6Iso7LS0tAD5+kR7838HHiYiIiIiIiIiIyL4ikcjQro7a5TfTJujc7jLx8niD4/f391u2lYOIqBCIFpayqc4+RDsyZxOqs1tTnShU53a74Xa7TZ7NxxiqM06mRWVmtyuMlmjxnRXPiZPJJPbs2ZP22Lx580yeTf5jqI4ov+Wiqe5az5uvRNcyuQjV+Xw+NDQ0pD126NAhk2djHaKWOqBwQ3VsqiMzia75s309GqmWlhYsWrQI7e3tY/r89vZ2LFq0iOuWyXCiew9GbOaTi1Cd6D6EnUJ1ANvqrI6hOiLKK5FIZOiG+SdDde3t7QW5sxEREREREREREVE+SSaTQ/9/sD3O43Tq+hyD413ZTjfSnWiJiEh/lZWVaR9nqM4eNE0TLhwZyWI40cfkS6iuVOfNAUaLoTrjZPodZVOdfjo6OoSL7Biq0x9DdUT5LVO4LdvXrkyBcobqPpaLUB0AzJgxI+3jhdyyJArVTZkyRXgOne8YqiMzia6nzNigpKOjA8uWLUMwGMxqnGAwiGXLlhX031IyXj431SWTSaiqmvaYEV9fthiqsy+G6ogor7S1tSGRSCCZTA4trhn8/4lEArt27crxDImIiIiIiIiIiCgbzisCdJIkAQBiVwTt9DA43uD4AOByuXR9DiIiGjnRwtLe3l6TZ0JjEY1GhQtgsmmqs9via9HiGYbq8lc+NtVZMVTX1taW9nG3242bbrrJ5NnkP4bqiPKb6PyquLh42D2Ssci0mYLdNkvQQyAQSPu43+83dR6DGKq7mihUV6gtdQBDdWQu0WuS0U11iUQCDz30UNaBukHBYBArV67kpn1kmHwO1Ym+NsCaTXWZ/j4xVGdtDNURUV4ZrEr+5Av04H+zSpmIiIiIiIiIiMjevF7v0AJ86fKbZqcEzS9jdfLyeIPj+3w+S+56SURUKEShOjbV2UOm8NtIQnWZmuqubJW1Oqs21YmaIO0aqovH49i8eTMefvhhzJkzB16vF7Isw+v1Ys6cOXj44YexefNmxONxw+eSaVGZXZvqMi1oyxXRxrpz5syB2+02eTb5j6E6ovxmZIAh0xh22yxBD1Zrqps+fXraxzs6Omx1zq2XZDIpPMdYsGCBybOxDlGozq7XDmRtuWqqW79+Pfbs2aPrmO3t7Vi/fr2uYxINyudQXaaNfaz4nh2b6uyLoToiyhuxWGzoYnbwBXr8+PHD/rutrc2Su+cRERERERERERHRyEiShMmTJwMA5Mtv4B0R7O49Vkcvjzc4/pQpU7LekZ2IiMZOFPphqM4eMi0ayaapTtM0W73vJwrVjeR7YKR8aapLJBJ4/vnn0dDQgPvvvx8bN27E/v37EY1GoWkaotEo9u/fj40bN+L+++9HQ0MDnn/+eUPbAkSLQCVJsnzYSxSqs+K/OdGC93nz5pk8k8LAUB1RfhO9dukRqssUgmCo7mO5CtWJmupCoRDOnDlj8mxyr6OjQ/jvoZBDdaJrh56enoIMX5KxctFUF4/H8eKLLxoy9vr1603Z3IUKjxVCdYlEAoqi6P58dmuqy3S+y1CdtTFUR0R5Y/fu3YjFYkgmk0gkEpAkCbfffjskSUIikUAymUQsFkN7e3uup0pERERERERERERZaGpqAgDIl5tdtp85g6Sq6jJ2UlXRcub0sPEHn4+IiHJDtLC0t7fX5JnQWGRaNDKSxXD5sgBb9H3IdVNdPoTqOjo6sHDhQqxduxbd3d0j+pzu7m6sXbsWCxcuREdHhyHzEu3UXlxcbPkNG0SL76zWVBeLxbBv3760xxiqMwZDdUT5zcgAg8PhEC5+ttM5nV6sFqoTNdUBMOxcycp27NiR9nGXy4U5c+aYPBvrEDXVxWKxgvx3TMZRFEW4oYeRTXVbt24d8TXlaJ07dw5bt241ZGwqbFYI1QHGtNXZralOlmXheTNDddbGUB0R5Y2WlhYAH58gTJw4EVVVVZg4ceKwxwc/joiIiIiIiIiIiOxpyZIlAABHWRkklxN9sdhQEC5bLWdOIxiLQ3I54SgrG/Z8RESUG6KFpWyqs4dsm+oyLeIWtUdYkaipzqqhur6+PiSTSZNnM3otLS1YtGjRmDdWbW9vx6JFiwx5D1m0oCzTIjSrsEtT3QcffCBsG2SozhgM1RHlN6NbgUTj2OmcTg+qqiIYDKY95vf7zZ3MZRUVFRg3blzaY4UYqtu5c2faxz/1qU9ZchG/WUShOiDVVkekl0yvC0Y21W3bts2wsc0YnwqTmfcezA7V2a2pDhDf62SoztoYqiOivJBIJNDW1gbg4xfmwd2jp06dOuzxnTt3Cm+sExERERERERERkfU1NjZi5syZgCTBeXkxx2uHP0Qgy+aMQDSKVw8fBoDUuJKEWbNmYdKkSVnPmYiIxq6ysjLt4wzV2YNocbYkSSNa4JNpF3o7LcAWhepGEiw0kihUB1i/DbKjowPLli0TLkofqWAwiGXLlum+YFz0+2mHUJ1osbjVQnW7du1K+7jX68WMGTNMnk1hYKiOKL+Jztv0agUSBSEKreGqr68PmqalPZarpjpA3FZXiKE6UVPdggULTJ6JtTBUR2bJdK1vZFOd6PpCL7t37zZ0fCpMbKqzFobq7ImhOiLKC3v37kU4HIaiKIjH45AkCVOmTAHwcaguHo9DURSEw2Hs27cvl9MlIiIiIiIiIiKiLN17770AUuE3udiLgUQC/2vvXsQUZUzjxRQF/2vvXoQTScjF3qGw3uDzEBFR7ogWllo98EMpokUjJSUlkCTpmp+facGcnRZg262pDgAuXrxo4kxGJ5FI4KGHHso6UDcoGAxi5cqVum7OKlpQZuQiUL2IdnzPtEt8LogWvX7605+G0+k0eTaFgaE6ovxmdFOd6DXQTud0esi0OUguQ3WiQPqhQ4dMnklu9ff34+DBg2mPFXqorry8HA6HI+0xK187kP1kel0wsqmus7PTsLHNGJ8KUz6H6thUR2ZhqI6I8kJLSwuAj1+Ux48fP/TC5PP5MH78+GHHBz+eiIiIiIiIiIiI7Gn+/PlYsmQJIElwTZgAySHjo0uX8EJb26gb6wLRKF5oa8NHly5BcshwTZgASBKWLl2KefPmGfQVEBHRSIkWll66dEnY8EDWIVo0MtKGtkwL5uzUVCf6PjBUNzbr16/Hnj17dB2zvb0d69ev12080YIyNtXpRxSq4zm8cRiqI8pvonMrvQIMonHsdE6nB7uF6g4ePFhQ1127d++Gqqppj91yyy0mz8ZaZFkWXj+wqY70lKumOqOvd6y2SQnlh3wO1WX6N2m3UF2hbSJhNwzVEZHtJZNJtLa2Avj45GCwnW5QU1PTsOOtra1IJpMmzpKIiIiIiIiIiIj09uijj6KyshJyURHc118/FKx76o9/QPOpk0gKFsAMSqoqmk+dxFN//MNQoM59/fWQi4pQWVmJRx55xKSvhIiIMqmsrEz7eDKZ5IIEGxD9jEYaqnO5XMI2BDstwLZqU11xcbFwoZVVQ3XxeBwvvviiIWOvX78e8Xhcl7FEv592CNXZoakuHA7jwIEDaY8xVGccUaguHo9b6veDiMbG6KY60TiFdk4fCASEx8rKysybyCeIQnW9vb24cOGCybPJnR07dqR9vKKi4qo1iYWIoToyQ66a6owO6RgRciLK51Cd6GtzuVyQZWvGoNhUZ0/W/G0iIhqFAwcOoL+/H4qiDKXSB0N0gwYvaGOxGFRVRSgUEt5gJyIiIiIiIiIiInsoLS3FunXr4PP5IBcXwz15MuRiL8KJJP73BwfwV7//HV49fBi7zp1D98AAArEYugcGsOvcObx6+DD+6ve/w//+4ADCiSTkYu/lzy+Gz+fDunXrcr7InYiIUjK1NfT29po4ExqLbJvqJEkS7kRvpwXYolDdSL8PRhItjLVqqG7r1q3o7u42ZOxz585h69atuowlWlBmZLOCXkSLSa3UVLdv3z4oipL2GEN1xhGF6gC21RHlA4bqzCFqqisvLxduJmGG6dOnC491dHSYOJPcEoXqbrnlFkiSZPJsrKe6ujrt4wzVkZ4ybaBj5CYln1x3bLfxqTCZGarLNKaZTXVWDqgyVGdPDNURke29//77AD4+Maivr79q157y8nLU19cD+PiFu6WlxcRZEhERERERERERkREaGxvxzDPPDDXWeSZPhmtcPSSXE8FYHNuOHcPf7dmDJ5qbsfo//gNPNDfj7/bswbZjxxCMxSG5nHCNq4dn8uShhrpnnnkGjY2Nuf7SiIjoskyhOtGCVLIO0aKR0SzOFn2snZrqRN8HK4T47Raq27Ztmy3GFy0os0NTnWiBmpVCdbt27Ur7uM/nw4033mjybAoHQ3VE+U0UbtMrEJ4PGyXoQXQNk+m6xww1NTXC88JDhw6ZPJvcyRSqI4bqyByi1wWv12toO5XRm3PcfPPNho5PhcnMew+yLAs34TGzqc7oVslsMFRnTwzVEZGtqaqK7du3A/j4BVlUsz74+ODHbd++HaqqmjBLIiIiIiIiIiIiMlJjYyNefvllLF26FJAkOGtqUDRtGtyTGuCsrIDsLYIkS4AESLIE2VsEZ2UF3JMaUDRtGpw1NYAkYenSpXj55ZcZqCMishiG6uwt26Y6QLwA206hOlFTHUN1oycKU+ll9+7duowj+v20Q6hOtEBNtKDNDPF4HJs3b8bDDz+MOXPmYPXq1Wk/7tOf/rShC20LHUN1RPktV011djqn04PoGsbv95s7kU+QJAkzZsxIe6xQmupOnz6N06dPpz22YMECk2djTQzVkRlErwtGt37fcccdth6fCo+maaY21QHiexpsqkthqM6eeBeJiGyto6MDfX19UFV16MVTVJE8+Hg8HoeqqggEAgW1iw4REREREREREVE+Ky0txeOPP46//uu/xqxZswBJgqO8HK4JE+CZOhVFs2bBe9NNKJo1C56pU+GaMAGO8nJAkjBr1iw8/fTTePzxxy2xsJ2IiIZzOp3Cv8+9vb0mz4ZGS7Q4W49QnV1aTTRNE4bqRvN9MIooVGfVf1+dnZ22GF+0oMzohaB6sFJTXSKRwPPPP4+Ghgbcf//92LhxI/bv3w9FUdJ+/O7du/H8888jkUiYPNPCUFpaCkmS0h5jqI7I/kQhBqNDdXY5p9NLIBBI+3ium+oACEN1L7/8MrxeL+bMmYOHH34YmzdvRjweN3l2xtu5c6fwGJvqUkShOqtuyEH2lKtQ3fLly1FXV2fI2PX19Vi+fLkhY1PhSiaTwnKZfAjVsamOzOLM9QSIiLLR0tIC4OMXzpqaGuENhoqKCtTU1ODChQuIRqMoLi7G+++/j5kzZ5o2XyIiIiIiIiIiIjLW/PnzMX/+fBw/fhzNzc3o7OzEkSNHhr1h5fP5MGXKFDQ1NWHJkiWYNGlSDmdMREQjUVFRkTaUxKY669Ojqc7urSbRaFQYALJCoN9uTXVGB7v0amMTLShjU93IdXR0YOXKlWhvbx/x54TDYaxduxavvvoqNm3aJAwH0NjIsozS0lIEg8GrjjFUR2R/uWqqK7RQnegaJtehukQigTNnzgiPR6NR7N+/H/v378fGjRtRV1eHxx57DKtXr4bL5TJxpsbZsWNH2sevv/561NTUmDwba2JTHZnB6NcjEbfbjcceewxr167VfezVq1fD7XbrPi4VtkzX6PkQqrNjU53o7xRDddbGUB0R2ZamaUOhusEXY1FL3aCmpiZcuHABkUgExcXF2L59O/77f//vwp3UiIiIiIiIiIiIyJ4mTZqElStXAkjdS4xGo0gkEnC5XCgqKuI9QSIim6msrMSJEyeuepyhOusTLRoZzWI40W70dgnVZVo4w1Dd6Hk8HkPDXXotzhL9fto5VGdmU11LSwuWLVuWNrw1Eu3t7Vi0aBHeffddLF68WOfZFbby8nKG6ojylNEhBru3D+vFiqG6sQTZu7u7bR9kj8fj2Lp1K7Zt24Zdu3bhwIEDaT9u3rx5Js/MukTXDgzVkZ5y1VQHpMJvr7766qj+Hl7L3LlzsXr1at3GIxqU76E6NtWRWeRcT4CIaKw6Oztx8eJFqKo6dPP+WqG6qVOnAkjd7FdVFT09Pejs7DR8rkRERERERERERJQ7kiTB6/WirKwMXq+XgToiIhsSLTDt7e01eSY0WqJF0qNpqrP7Aux0LYuDGKobvWu9J2yV8UULysxYCJot0eI7s5rqOjo6sgrUDQoGg1i2bBk6Ojp0mhkBqVBdOgzVEdlfrprq7LJRgl4CgUDax/1+v6nzGNTS0oJFixaNOUAyGGQf3BzfDhKJBJ5//nk0NDTg/vvvx8aNG7F//36oqpr247dt24bnn38eiUTC5JlaT6amOk3TTJ4N5atcNdUBgMvlwqZNm1BWVqbLeOXl5di0aVPeNHqSteR7qM6OTXUM1dkTQ3VEZFvvv/8+gNRJgaZpqKysHPaGj6IoSCaTUBRl6LGqqipUVFQM7UwNwFYX9EREREQimqYhHA4jGAwiHA7zhjURERERERER5RVRqI5NddYnWjQymlCd3RdgZwrVjeb7YBS7heqMbgq5+eabdRlHtKCMTXWZJRIJPPTQQ1kH6gYFg0GsXLmSi+B1xFAdUf4ShRj0CoSLzunsslGCXqzUVFeIQfaOjg4sXLgQa9euRXd394g+JxQKYe3atVi4cKEtvkYjiUJ1iUQi43UP0WjksqkOAGbMmIF3330362BdeXk53nnnHVs2eZI9ZAqyGXXvwQqhOjbVkd6cuZ4AEdFYaJo2FIYbDMc1Njbi1KlT6O/vRzgcRjKZHPp4p9OJ4uJi+Hw+XH/99bh06RKi0SiKi4vR0tKCr3zlK9ydmojIInbs2IHdu3fj5ptvxoIFC3I9HSJL6+rqQnNzMzo7O3H06NFhF+A+nw+TJ09GU1MTli5dikmTJuVwpkRERERERERE2amsrEz7OEN11idaNDKaHeZFC+fyIVRn9aY6TdMs9z7qHXfcgY0bNxo6vh5Ev592CNWJdn03I1S3fv167NmzR9cx29vbsX79eqxZs0bXcQsVQ3VE+SmRSAxba3UlvZqB7N4+rBerhOqMCrK3trZatpGppaUlqxDhYCvfu+++i8WLF+s8O3sQheqAVFudXu1eVNhy2VQ3aPHixdi+fTtWrlw5pibPuXPnYtOmTQzUkaHyvalO9PUxVEd6Y6iOiHQ1MDCAN954A52dnYa2oyiKgu7ubmiahlAohGg0CkVRcObMmbQfn0wmEQwGEQwGoSgK+vv7kUwmUVFRgXPnzuE73/kOHA6HYfOVJAlNTU34sz/7M1NP7ImI7Gb37t34/ve/DwB49913sW7dOsydOzfHsyKynra2Nrz++us4ePCg8GP6+/uxb98+7Nu3D5s3b8bMmTPxX/7LfzF8F2ciIiIiIiIiIr3F43GcP38+7bFf//rXePjhh3HHHXdg+fLlcLvdJs+OrkWPpjq7L8AWfQ9cLpclFgKJQnXxeBwDAwOWaNO70vLly1FXVzfiZpHRqK+vx/Lly3UZS7SgzKx2hWyIfi8zLdjTQzwex4svvmjI2OvXr8e3vvUtvk7ogKE6ovyU6bxKr7VOdm8f1otVQnWFFmTXu5Vv+/btBRmWyRSqu3jxIm644QYTZ0P5KtdNdYNmzJiB1tZWrF+/Hi+++OKIrkHr6+uxevVqrF692rIBY8of+R6qE23sY9TXpgfRPbRwOAxFUQzNKtDYMVRHRLr6h3/4B/z2t7815bmSySS6uroQi8VQXFyMsrIyqKoKRVGgaRpUVR36WFmWIUkSHA4HysrK4Ha70d/fj6NHj6KxsREHDhwwfL579+7FxYsX8a1vfcvw5yIisqu33noLAJBQVLgcMt566y2G6oiuEAqF8NOf/hTNzc0AAE0D+iIJhKIJRBIKYgkVqqZBliR4XDK8LgdKi1wo97pw8OBBHDx4EEuXLsUjjzxiiR2wiYiIiIiIiIgySSQS11y41N/fj40bN2Ljxo2oq6vDY489xoVLFiNaoD2aoJbdF2CLmuqsco9OFKoDUgtjrRaqc7vdeOyxx7B27Vrdx169erVuoSvRgjI7NNWJQnWxWMzQ9sKtW7caEpYEgHPnzmHr1q247777DBm/kDBUR5Sfchmqs8tGCXrQNA2BQCDtMb/fb9o8Ci3IXoitfEYpKyuD0+lM22zZ09OTgxlRPrJCU90gl8uFNWvW4Fvf+ha2bt2KrVu34p/+6Z/SfuwPf/hD/NVf/ZWl/v5RfssUqjNqEyc21WWW6R5aOBy2zL1AGo6hOiLSVVdXF4DUzXQjb3gkEglcuHABmqZBlmXU1dUhHo8L2/EGA3aKokCSJNTW1qKrqwuRSASHDx9GTU2NoRe4JSUl8Hg8Q98fIiK62mCrFgCcuhTB9dUl2Lt3L/r7+y33hj1RLnR1deHpp59Gb28vNA240B/FhVAcSUW96mNVTUMkriASV9A7EIfTIaOm1I0aXxHee+89fPDBB1i3bh0aGxvN/0KIiIiIiIiIiEago6MDK1euRHt7+4g/p7u7G2vXrsWrr76KTZs2FWRrgBWxqU4cqrPKve9rheomTZpk4mxGZvXq1Xj11VdH9TfiWubOnYvVq1frNp4o9GmHUF2mXd/j8bhhC9i2bdtmyLhXjs9QXfYYqiPKT7kM1UUiEaiqClmWdXkeKxsYGEgbRgLMbaortCB7obXyGUmSJFRVVaX9/WGojvRilaa6K7ndbtx3332499578eqrr6b9Wz5r1iwG6shUotCZ0+mE02lMTIhNdZllutc3MDDAUJ1FMVRHRLr63Oc+h6NHj8Lj8UDTNFy6dGlYY5weFEVBf3//0O53TqcTEydOhKZpcDgcKC0tRVFREdxuN2RZhqqqiMfjiEajCIVCUBQFDQ0NOHXqFBKJBCRJGtphUe9aVVmWUVFRMfSmwuc//3ldxyciyic7duyAoiiIJBQEI6nWLS+AnTt34nOf+1yup0eUU11dXXjyySfR39+PaELBid4wInEFAOAuLsW4aTfDP74RvurxcLjcUBJx9PecQeBMF84e3o14OISzgSgC4QQaKovR29uLJ598Es888wyDdURERERERERkOS0tLVi2bNmYWwTa29uxaNEivPvuu1i8eLHOs6PRUFVVlx3mRQvn7NJUJwoWWmUhjd/vhyRJaTcwvXjxYg5mdG0ulwubNm3CokWLdGkcKS8vx6ZNm3TdiFW0oCyXC0FHKlNoLhaLGRaq27VrlyHjDtq9e7eh4xcKhuqI8lOmUJ1er12ZxgmHw5bZcMBIly5dEh4zM1RXSEH2QmvlM0N1dTVDdWQoKzXVfdJgCcjp06evOmZUWJlIRBSqMzJ0xqa6zDKdz4ruD1LuMVRHRLq6++67IUkSNm7ciKKiItTW1uLSpUtDaXG324358+eP+UJSURScOHECyWRyKKxXU1OD4uJiVFZWorS0dChsN8jhcMDlcqGkpASVlZUIhULo7e3FrbfeigsXLgBIneg6nU40NDSMOVgXj8fR1taGeDwOIPWiXVFRAYfDAafTia9+9au46667xjQ2EVEhaGlpAQD0hROp/40k4HU50NLSwlAdFbRQKISnn34a/f39GIglcaxnAIqqwVlUjKbP3I1x026G7Lj60q7YX43aKbMx5dY7cfbwbnT+4W1EomEcOd+P66tLAPTj6aefxssvv2yZxTtERERERERERB0dHVkF6gYFg0EsW7YM27dvZ2NdDkUikbRBLWB0LW2ihXN2CdWJmuqscl/O4XDA7/enXeRt1VAdAMyYMQPvvvtu1n8zysvL8c477+j6t0LTNOGCMrs31Yl2itdDZ2enYWObMX6hYKiOKD9lOq8yuqlu8PkZqjMvVFdIQfZCa+UzQ3V1ddrHGaojvVixqe5KDNWRVeTivgOb6jJjqM6eGKojIl1JkoS7774bM2fOxPPPP4/Tp0+juroaoVAIwWAQ8XgcBw8exF133YX6+vpRj3/06FEAqTchBl8si4qKUFdXN6KqWkmSUFZWhuLiYnR3dw+l1T0ez1A1+eTJk0c9r3PnzuFXv/rVUKCurKxs6E2wCRMm4Nvf/jZuuOGGUY9LRFQoIpEI9uzZAyAVpgNS4br6siK0t7cjEonY4k1mIj0MLrZIJpNwOp34+7//e/T29iKaUIYCdf7x12P2nX8Bjy/9G9dXkh1OXDdzAaonTcP+d15B4MwxHOsZwJRaH3p7e/Gzn/0Mjz/+uAlfGRERERERERFRZolEAg899JAurVNAKli3cuVKtLa26to+RSOXqfFkNIumRQvnMo1vJaJQnZUWjldVVdkuVAcAixcvxvbt27Fy5Uq0t7eP+vPnzp2LTZs26R6+jcViwkCpHd7vyLTru2ineD0YGdgDjJ17IWGojig/ic6rHA6Hbi1cmUJ1djmvy1YgEBAe8/v9ps2jkILshdTKZxaG6shoVm6qA1KhunQYqiOzsanOejL9nWKozrrkXE+AiPLTDTfcgJ/85Cf4whe+ACC1y2JNTQ0cDgcCgQB++ctfoq2tTfhGQjqBQGDoTZtEIhW4KCoqwrhx40YUqLuS0+nEuHHjhk4cBse7ePFixpsXn6RpGtra2vDLX/4SgUAADocDNTU1Q4G6P/3TP8X69esZqCMiuoa2tjYkEgnEEiqiCQUAEE0oiCVUJBIJw3dJI8q1rq4uvPLKK/jud7+LP//zP8cDDzyABx98ELfffjv+9m//FocPH0bHifOIJ5Lwj78ec+95ZESBuit5fOWYe88j8I+/Hoqq4URvGJoGvPfee2hrazPoKyMiIiIiIiIiGrn169cPbb6ll/b2dqxfv17XMWnkMi0WGc1iODbVGa+qqirt41YP1QGpxrrW1lY899xzwsWNIn//939vSJtlpsVkVmlXyCRXTXVGL4yz8m72dsJQHVF+yhRgkCRJl+dgqE7cVFdcXKxbeHEkCinIXkitfGYRherscO1A9mCHprp0GKojs+V7qM6OTXVut1t4TsdQnXUxVEdEhikqKsI3v/lNrFmzZujCv7a2Fl6vF6qq4r333sO//uu/jvimyNmzZwEAyWQSqqrC4XCgrq4Osjy2P2WyLA99vqqqUBRl2PNcy8DAAP71X/8V7733HlRVhdfrRW1tLdxuN0pKSrB27Vp84xvfsPSLNxGRVbS0tAAAApH4sMcH/3vwOFG+aWtrwxNPPIFvfOMb2Lx5M/bt2zfsAvrs2bNIJpPoDScRCscwEI3DM3UhQmNcLORwuTH7zr+A0+NFJK7gQn/q5sMbb7yhy9dDRERERERERDRW8XgcL774oiFjr1+/HvF4/NofSLrLtFhEj6Y6u4TqRN8Hhur043K5sGbNmlFvIPbrX//akPlkWkzGpjqxpqYmw8Y2Y/xCIQrVxWIxw0MaRGQcM1qBMoUhCj1UV1FRYeo8CinIXkitfGYRXTuwqY70wlAd0chYKVRnxL0COzbVAeJ7ngzVWRdDdURkuM985jPYsGEDbrzxRsiyjMrKSvj9fkiShOPHj+MXv/gFjh07lnGMcDg8tIPjYPitsrJy1A11n+R0Oocu8pLJJIDUTpHXSswfO3YMv/jFL3D8+HFIkgS/34/KykrIsoxp06bhpZdewm233ZbV3IiICkUsFhvaGawvkmoO9Y9vHPbfbW1tfBOO8kooFMKPfvQjfO9738PBgwehaUAgnMDJ3jA6u0P44FQfdh89hzMXLmEgpiAqe6FqQMW0hYgmNXR2duLo0aND5y+j4fGVo2nJlwAAF0IxaBpw4MABHD9+XO8vk4iIiIiIiIhoxLZu3WrY4qNz585h69athoxNmWVaHK1HqC4SiUBV1VHPy2xsqjPPaOf75ptvGjKPTIFPu4fqjHy/Zt68eYaNDQA333yzoeMXClGoDmBbHZGdic7b9AwwZBrLLpslZEsUqvP7/abOo5CC7IXUymcWUVMdQ3WkFzOC3tlgqI6swkqhOjbVfYyhOvthqI6ITFFbW4tnn30W999/PyRJQklJCWpqauByuRAOh/H666/j97//vXBheG9vLwBAVVVomgaHw6Hbm0ylpaVwOBzQNG3oTTfRmy3JZBK/+93v8PrrryMcDsPlcqGmpgYlJSWQJAkPPPAAnn32WdTW1uoyNyKiQrB7927EYjHEkyoicQWSJGPG//MAIEmIxBXEkypisRja29tzPVUiXXR1dWHVqlVobm6GpgHnQ1F0nA3i+MUB9A7EEYkrUDUNsf4+aNCgODxQJRmaqwhq9Q2IJVVAAy72XsQHBw4gHBn9G0zjpt0Md3EpkoqKYDQVXm1ubtb7SyUiIiIiIiIiGrFt27bZenxKT7RYxOFwjGpX6UwL54xYtKM3UahuNMFCo+VLqO7cuXOj+vgPPvgAR48e1X0emX4vrdKukEmmBWpGLhy/4447DBvbjPELBUN1RPlJFGrTM8Agy7JwIXahNNUFAoG0j5vdVFdIQfZCauUzC0N1ZCRN09hURzRC+R6qs2tTnej8maE662KojohM43Q6sXLlSnz/+99HZWXlsEAaAOzatQv//M//PBSgu9LgC8lgS11paSkkSdJlXpIkDQX0BsdPd6Omt7cX//zP/4zdu3cDwLBgYGVlJb7//e/joYcegsPh0GVeRESFoqWlBQAQGGypm3ADSirrUDFh8rDHBz+OyM66urrw5JNPore3F9GEgo/Oh3A2EEVSUeEuLsWkuX+COXd9Bbd+5TsYN2M+KidMRVFlHRxOF7zjmwDJgVhCxUA8CVXVkEjEcfjQ4VEH62SHE+Ompd7ICF7+N9bZ2an710tERERERERENFK7du0ydPzB93fIXKLFIoMbVo6U3VtN2FRnnrNnz6Z9PNPvkBFNlpkWk9mhqc7lcgmPGdn2snz5cuEC1WzV19dj+fLlhoxdaBiqI8pPZrUCiV6TCyVUJ2qqMztUV0hB9kJq5TNLplCdpmkmz4byTSwWEzbSW72p7tKlS4jH4ybPhgqZ6N6Dkfcd2FR3bWyqsx+G6ojIdLNnz8aGDRtwyy23QJIk+P1+VFVVQZZldHd3Y9OmTThw4MCwC6zBN8MGH9P7BXFwvMHxr7xRo2kaDhw4gE2bNqG7uxuyLKOqqgp+vx+SJGHBggXYsGEDZs+ereuciIgKQSKRQFtbGwCgL5y6qVA3Zc7l/039Xe27HPjZuXMnEolEDmZJpI9QKISnn34a/f39GIglceR8PyJxBc6iYsz4wgP4zMP/XzQt+RJqp8yGt7wK4UAPHC43JKcHTpcHVTfOh69mPCTZAUUFBuIKFFVDUkniww87hY2/IuXjGgEAkURqU4EjR47wBjcRERERERER5YzRG/5wQ6HcEC0WGW1DW6ZAlB0WYIu+DwzV6U/UVNfU1CRsZNmyZYvu88gU9rRDqE6SJOF78kaG6txuNx577DFDxl69ejXcbrchYxeaTH+7GKojsi+zQnWi8exwTqcHq4TqCinIXkitfGYRheoUReG5AGUt07WU1ZvqAOD8+fMmzoQKHZvqrImhOvthqI6IcqKsrAzf/e538cgjj8DlcqGoqAi1tbXweDxIJBLYtm0b3nnnHcRiMSiKMrRIfHAHCr1vdg+ONzh+MpmEoiiIxWL49a9/jW3btiGRSMDj8aC2thZFRUVwuVx49NFH8dRTT6GsrEzX+RARFYq9e/ciHA4joagIxxVAklA7eRYAoHbyTQCAcCyZOh4OY9++fbmcLlFWfvrTnw411B3rGYCiavCPvx6LH/o2rpu5ALLDOfSxSjyGZDR1o1C9nHMrqqiH1+dHxYTJcBV5oWlAOK4MNdYdP358VPMprRkPAIglUuc//f39wpsRRERERERERERGMzKkAYgXYZCxRIujRxuqy7SYm011+hCF6np7e02eSXZETXXjxo3DPffck/bYH//4R90XPooWk3k8HsiyPZbqiBapGf33dPXq1Zg7d66uY86dOxerV6/WdcxC5nA4hH+/uJCeyL5yHaqzwzmdHgKBQNrH/X6/qfMopCB7IbXymUUUqgPstykHWU+mkLXVm+oAoLu728SZUKGzWqhO783c2VRHZrHHnToiykuSJOGuu+7CCy+8gAkTJsDhcKC6unoooHbo0CG88sorOHPmzFWfq/cbDenGO3PmDF555RUcPnwYQCoIWF1dDYfDgYkTJ+LFF1/EF7/4RUiSpOtciIgKSUtLCwCgL5xqoPOPa4THVw4A8PjK4R/fmDp+ua1u8OOJ7KatrQ3Nzc3QNOBEb3goUDf3nkeGfuevpKpXts6lbjhIztQbDw6HE+X1k4aCdZGEAmjAxd6Lwjdh0nG4Lm8qcMUNDbZBEhEREREREVGuGL3DsNUXW+QrM5rq7LAAWxSqG+33wUiiUF0gEBjaANUORE119fX1WLFiRdpjmqbh7bff1nUeolCdHVrqBon+Lhsdgna5XNi0aZNuG9uWl5dj06ZNcLlcuoxHKeXlV7+3ATBUR2RnohCD3q1AbKqzRlMdUDhB9kJq5TOL6NoBAHp6ekycCeUjOzTVVVVVweFwpD3GUB2ZyUqhOk3TEI/HdX0uNtWRWRiqI6Kcu/7667F+/XrcfvvtAFI7MtbU1MDhcKCvrw+vvfYaPvroo2EJ9sFGOb1cOZ6mafjoo4/w2muvoa+vDw6HAzU1NUM7rd1xxx1Yv349GhsbdZ0DEVGhSSaTaG1tBQAELofmaqfMHvYxtVPmpI5fDt21trba6s17okGvv/46AOBCfxSRuAJnUTFm3/kXQ8G2T5Jl5xX/lQrwa8mPbzxIkozS2omQZBmKCsSU1LnMWcGCkXSURGo8+YoNAriogIiIiIiIiIhypampydbjU3qixSKj3V0+08I5OyzAFn0f7NBUB4gXf1tRpqa66dOnY+rUqWmPb9myRdd5iBaC2ilUJ1qEZ0bz54wZM/Duu+9mHawrLy/HO++8gxkzZug0MxrEUB1R/hG9dundCiQ6r7PDOZ0erBSqK5QgeyG18pmltLRU+HNmqI6yZYemOlmWUVNTk/YYQ3VkJiuF6gDxBkNjxaY6MgtDdURkCUVFRVi1ahXWrl2LkpISuN1u1NbWwuv1QtM0HD58GK2trUMpdr3T7FeOu337dhw+fBiapsHr9aK2thZutxslJSV44okn8PWvf93yKXciIjs4cOAA+vv7kVBUDMRSQbmrQ3U3AQAGYkkkVRWhUAgHDhwwfa5E2ejq6sLBgwehacCFUOqco+kzd6dtqBvkcHvgLEq9oSRfzrzFLg2/8eZwOFFSVQ8AiCdVQANCoSDCI7xBEbqQagP2uFKXhT6fz/I3HYiIiIiIiIgof82bN8/Q8W+++WZDx6f0RIvhRtvQ5nQ6hYtVrd5UF4vFkEgk0h6zS6ju4sWLJs4kO5ma6iRJErbV/eY3v9F1cZNoIZlVmhVGIldNdYMWL16M7du3j7lBZ+7cuWhpacHixYt1nhkBDNUR5SPReZveAQbReFY/p9OLlUJ1QOEE2Qullc8skiShuro67TGG6ihbdmiqAyBswGSojsyUz6E6RVGE5QtWX8PPUJ39MFRHRJZy22234aWXXsL06dMhyzIqKyvh9/vhcDhw4cIFtLa2IpFI6L77XTQaRSKRQGtrK3p6euBwOOD3+1FZWQlZljF9+nS89NJLuPXWW3V9XiKiQvb+++8DAIKXW+rK6ibCWzb8RrG3rBJldRMBAH2X2+paWlpMnCVR9pqbmwEAfZEEkooKd0kpxk3LvIhLkiSU1VwHAHBcTtVFe05c9XFFvnLIDgc0DUioqVbf3hEucOk72wUA8LocAIApU6ZAuqK1joiIiIiIiIjITHfccYetx6f0RItFRhuqA8SL56y+ADsUCgmPjeX7YJR8CdVlaqoDgHvuuSft8Vgshm3btuk2D9FCsnxoqjMrVAekFvq3trbiueeeQ21t7Yg+p76+Hs899xxaW1stu7A/HzBUR5R/ch2qK5SmukAgkPZxv99v6jyuVAhB9kJp5TMTQ3VkFNHrQabNdnKBoTqyAtG9h3wI1WW692D1TeNF9/sK5XzXjhiqIyLLqa2txTPPPIMvf/nLkCQJJSUlKC4uhqqqiEQiOH/+PEKhEDRN0+X5NE1DKBTC+fPnEYlEoKoqiouLUVJSAkmS8OUvfxnPPPPMiG/SExHRtamqiu3btwMAApdDdZ9sqRs0+Hjf5Y/bvn07VFU1YZZE+ujs7AQAhKKp3+FxN94M2eG85ueV1TcAAJyXQ3WhY/uhKcqwj5EgwePzAwCSSurfRf8ILsBVJYmzh3ennsebutHf1NR0zc8jIiIiIiIiIjLK8uXLhQuSslVfX4/ly5cbMjZlJgrVjWVxtihUZ/UFKZlCdVZqqisuLhYuSrJLqK6/v1/4+1BfXw8AWLBggfBvzZYtW3SbiyjsaadQnWjnd703wL0Wl8uFNWvWDG1gl860adPw1a9+Fa+99hqOHz+ONWvWFPQidzMwVEeUfxiqM14sFhMuNs9VU92gK4PsI70us1uQvVBa+cwiCtXZ5dqBrEt0LWWlljqAoTqyBtH1uZH3HqwQqmNTHemNoToisiSHw4EHH3wQTz31FICPd0aUJAlOpxOKomR8A2o0QqEQFEWB0+kcamcZvOh76qmn8OCDD8LhcOjyXERElNLR0YG+vj4kVQ39sVRNd93UOWk/tu5yqK4/loSiaggEAjh06JBpcyXKhqZpOHr0KAAgkkgF4vzjG0f0ufU3fhoA4HLIkCQJSiSE0LG9V32cy5O6WaFe3nAgPDCAa209cPbwbsTDITgdMsqKUgsLlixZMqJ5EREREREREREZwe1247HHHjNk7NWrV1tqN/NComdTnWgBttWb6jItmLFSqA4Qt9XZZWGsqKUO+LipTpZlYcj2V7/6FRKJhC5zES0ks9pC0Eys0FR3pUytJzt37sTPf/5z3Hffffx7bxKG6ojyjyjUpvdrl103StDDpUuXhMdyHaoDPg6ynzhxAq+99hruvPNO4ce+8sortgyyF0Irn1nYVEdGMSvknS2G6sgKRKG6fGiqy7ShD0N1pDeG6ojI0gZfQFwuF9xuN2RZHjoZ7e3tRTKZzGr8ZDI59CZQfX09ZFmG2+2G05lqjymEGzZERLnQ0tICAAhGEoAGlNaMR7E//Q234ooa+KrHQdM+bqt7//33TZsrUTYikcjQ+UwskWqS81WPH9HnllaPh/+6GwAAbmfq0q1nz78hGQ4O+zinJ3UjZLDAMakkoarDG+2uFOvvQ2fzWwCAmlIPJAmYNWsWJk2aNMKvioiIiIiIiIjIGKtXrx7z4kaRuXPnYvXq1bqOSSMneq9tLKE60QJsq4fq7NJUB9g/VHfu3DnhscGmOgC455570n5MX18f3nvvPV3mIlpIxqa6sTtz5kzax0tKSiz3b6kQMFRHlH9E51RmNdVZ/ZxOD1YP1Q1yu9247777sGHDBuHHzJs3z7ZB9itb+UZ6XWK3Vj4ziK4dGKqjbLGpjmjk8jlUl2lDHyO/Pj0wVGc/DNURkaUNhi4ikQg8Hg9qa2tRVFQEWZahKAq6u7uhDq4gHyVVVYc+X5ZleDwe1NTUwOPxDL2wDz4/ERHpR9O0ob+vgyG52sttdCKDLXaDH799+3Zo2rW6uIhy78oNAAab5Byukb+50Hjz5wAAHqcMWZagxiI498fXoCbjH3+QlLqsu/JfhKqm//ehJOLY/84rSMYi8LodqPGlFkXce++9I54TEREREREREZFRXC4XNm3ahLKyMl3GKy8vx6ZNm2zVnJBv9Gyqs2uriShU53A4LLeztt1DdaKmutLS0mEL+D/72c8KQ1hvvvmmLnMRLQTNh1BdrprqRKG68eNHtpEd6YuhOqL8Y1YzkGg8q5/T6SEQCAiP+f1+0+YxUtddd53w2MmTJ02cif4GW/n+23/7b2mPy7KMOXPm4Ktf/Spee+01W7byGY1NdWQUhuqIRi4XoTqXywWHw5H2GJvqUhiqsx+G6ojIsiKRCPbs2TP0/10uF2688UYAGLpAjUajOHv27Kgb65LJJM6ePTv0ojs43rRp0+ByuYYeb29v1/VFnoiIgM7OTly8eBGKqiEUHQzVzcn4OYOhu1A0AVXV0NPTg87OTsPnSpStwfZbAJAlCUAq2DZSNTfMQP2NnwYAeN0OQJIQPX8cZ/7jlY8b67TUBgPSFZ8nyxI+Kdbfh/Y3f4bAmWNwyBIaKoshScDSpUsxb968UX5lRERERERERETGmDFjBt59992sg3Xl5eV455132CKQY6LFImNZnG3XVhPR96C0tBSSdPV9vFyye6hO1FR3ZUsdkFp8deedd6b92K1bt455U9crid5jttpC0ExEi/By1VQnCk0yVJcbDNUR5R+G6ownaqpzuVyWPEfweDxXnUcNOnHihMmzMcbp06fTPv6Vr3wFe/fuxc9//nPcd999tm3lMxJDdWQUs16PsiUK1V28eBGJRMLk2VChykWoDhBvGMSmupRMoToWSVgTQ3VEZFltbW1IJBJIJpNIJpNwOBxYvHgx3G43JEkauliNRqM4efIkgsHgNV9sNE1DMBjEyZMnh04mrhxv0aJFkGV56HkTiQR27dpl+NdKRFRI3n//fQBAMJqApgEllbXwVaVuNGgAFEVBIpmEoihDzVsllXUorqiBpgF9l4N4bBMlO/B6vUMXyh5X6vKrvyf9broi0/7kz+ApKYNDklByRbDuxK82IHhkNxKR1A1F+fLVndPhhCx/vCOQqiRx+uAOtGx6fihQd311CYpcDlRWVuKRRx7R4SslIiIiIiIiItLP4sWLsX37dsydO3dMnz937ly0tLRg8eLFOs+MRku0GE7Ppjqrh+pETXWiprRcqqysTPu4XUJ1otDVuHHjrnpsxYoVaT/29OnT2L17d9ZzYVOd/kRNdel+vmQ8UaguGAyaPBMi0oOmaaaFGOzaPqwHUaiuoqLCcpstDJo4cWLax+3eVDdI9HWIvm76GEN1ZBS7NNWJQseapuHChQsmz4YKVT6H6uzcVCc6f04mk4jHR74ZP5mHoToisqzBsMTgi2xDQwNKSkrQ1NQEp9MJWZbh8XggyzJUVcWFCxdw/PhxXLx4EQMDA0gkEqlgRiKBgYEBXLx4EcePH8eFCxegquqwz3c6nWhqaoLP50NDQ8Ow52Vog4hIP5qmDf1d7QunwnH+hmk4eeoUDn94GHva27G7fTf27Ln8v+3tOPzhYZw6fRr+SdOHfV5LSwt37iDLkyQJkydPBgB4XamgW+BM16jGcHlL8Ol7/j9wFhXDIUso8TggyxLUeBTnW7fg5Nsvob+zFfHzXUgM9MHtACKBHnR/tB+dzW/hDz//G3T85lUkYxF43Q5MqfWhxOOEz+fDunXrLLl4h4iIiIiIiIhoxowZaG1txXPPPSfc/fuTZFnGc889h9bWVjbUWYSopU3PUJ3VF2DbKVRXKE11AHDnnXfC5XKl/fgtW7ZkPRfRQjI7hepEi/CsFqpjU11usKmOKL9Eo1Hhe+96hxjs2j6sB1Gozu/3mzuRUcj3UJ2ocW9w/SCJiUJ1vb29ujQ/U+Gye1MdAHR3d5s4Eypkubr3kOumOquH6jLd9xTdK6XccuZ6AkRE6cRisaGGuMEX2alTpwJI3ayZNm0aOjs7EY/H4Xa7oSgKkpdbjQKBQMaxJUmC0+mEw5Fa2O52u9HU1DR0E6ipqQldXV2IRCIoLS3Frl27EIvFLP8iTESUjYGBAbzxxhvo7Ow0NKimKAq6u7uhahouhiKIRqPoTbrRfzb9G6FJJYlgMIhgMIh40o3+/n4oySI0VBXj3Llz+M53vjP099wIkiShqakJf/Znf2a5mzNkH01NTdi3bx9Ki1zoHYjj7Ie7MeXWOyE7Rn45Vlo9HvP+y//Anjf/f4gNBOHzOBFLqognFcQH+hAfCCB28gCCEnCxqAhnP7HYwemQUVPqQY3PA0lK7Ti9bt06NDY26vzVEhERERERERHpx+VyYc2aNfjWt76FrVu3Ytu2bdi9ezcOHz6cdmGFqqp48MEHhUEZMp9oochY7rfadQG2KFQ3lmCh0eweqhtNU11ZWRk+//nPY9u2bVcde/PNN/GDH/wgq7mIFpJZrV0hE9H745l2izeS6OfLUF1uiEJ1kUgEiUSCr8VENpNpkwK93ycXjWf1jRL0IFrTVlFRYe5ERkEULhOF0ewkEokI26TYVHdtomsHRVHQ19dn6d9rsja7NNVVV1cPFYJ8EkN1ZJZCbKpzOBxwOq0dgbpWqE70Gkq5Y+3fKCIqWLt370YsFkMymUQikYAkSZgyZcrQ8eLiYsyaNWuomc7hcMDhcEBV1aGA3bFjx3Dx4kVUVVXh+uuvHwrSyfLHJZ1VVVWYNGnSsBfYKVOm4De/+Q0SiQSSySSi0Sja29uxaNEiU78HRERm+od/+Af89re/NeW5kskkPjx2Cv1RwFlcBldpFRKKhqSiQtU0qCqgAZAAyDIgSxKcDhmu0irA7UWoP4TDR/vR1DgBBw4cMHy+e/fuxcWLF/Gtb33L8Oei/LRkyRJs3rwZ5V4XnA4Z8YEQzh7ejetmLhjVOKXV47HooW/j8O/fxLkP2+FxylAjQUQHeiG5PHC4PdAkB9wuF2RJgsclw+tyoMzrQlmRC5KUGmfp0qV45JFHLLkTNhERERERERFROm63G/fddx/uu+8+AKmAj2hX/La2Nlx33XVmTo8EVFUVLoYrpKY6UbDQivfn7B6qEzXVpQvVAcCKFSvShuoOHTqEDz/8EDfeeOOY5yL63bdTU50oVMemOgLEoTog1VYnep0mImvKtEmB3qE6u57T6UHUVGfl8FE+N9WdOnVKeIxNddeW6bW+p6fH0r/XZG12aapzOByorq7G+fPnrzrGUB2ZQVEUJBKJtMfyIVQnuvdg9NemBzbV2Q9DdURkSS0tLQA+TppPnDjxqpsqTqcTkydPRlVVFc6ePYtQKARZljEwMIDdu3cjGAwCSN2QOH/+PG6++eahN6dKS0sxbtw4+P3+q567uLgYEyZMwMmTJxGNRuHz+dDS0sJQHRHlta6uLgBAfyyJi/3GvRmaSCRw4cIFJDQZkBxw1TaiP64gXTmeBkBRAQUaEooCSQJcNY1IHv8APWEFfYeOoaamxtCdLqt9HpR4nEPfH6KxaGxsxMyZM3Hw4EHUlLpxNhBF5x/eRvWkafD4xG86p+PyluCmZQ+h/sa5ONq6DT3HDwOqAg/icGsDKC0txfTG69N+7qxZs3Dvvfdi3rx5enxZREREREREREQ5U1VVhRtuuAH/+Z//edWxtrY2rFixwvxJ0VUyLc7WM1Rn16Y6u4XqNE2DNLhzl0WJmszq6+vTPv6lL30JX/va16CleZNi69atWLNmzZjnIlpIZqdQnWihWi6a6iKRiLDdRxSaJGMxVEeUX6zQVBeLxaAoChwOh67PZyX5Fqqzw/lhJpmCgWyqu7ZrheqmTp1q4mwon9ilqQ4A6urqGKqjnMm04U0+hOpE9x5EGwBZCUN19sNQHRFZTiKRQFtbG4CPX2AzXWT5/X74/X6Ew2G0trZi+/btiMVi0DQNiUQCLpcLoVAI27dvx+LFi7Fw4cJrnmBPnToVJ0+eRCQSgc/nw86dO4fGIiLKR5/73Odw9OhR+DxOKKqGk71hKGqapFsWFEVBf38/NLigSYDm9MB13UxoGiA7HPD4/HAVeeF0FwGSDGgqkvEoEtEIYv0BqIoC14RZGDjdCSkZQxwOnOnpg8/n0/3GukOWMLGyGCWe1Ony5z//eV3Hp8Jz7733pkJ1viIEwglEomHsf+cVzL3nEThc7lGPVzlxCrp2ueAf1wgt2g+fQ0E4PDBs8YDP58OUKVPQ1NSEJUuWYNKkSXp+SUREREREREREOTV//nxhqI6sIdMikbGE6kQLsO0aqhvL98BoolBdPB7HwMCAJec8KJlM4sKFC2mPiUJX48aNw8KFC7F9+/arjr355puGhOqsuBBUxEpNdaLAJMCmuly5VqiOiOzFCqE6IHVeZ8WNB/QiCoin2xTeKkSNbZFIBL29vcLzRzs4ceJE2serqqpsdc6WKyUlJfB4PGnPDXt6enIwI8oXdmmqA1Khug8++OCqxxmqIzNk2vAmH0J1dm6q83q9kCQp7SZODNVZE0N1RGQ5e/fuRTgchqIoiMfjkCTpmjuXRKNR/Pa3v8WHH36IoqIilJeXo7y8fOhFqa+vD7FYDO3t7RgYGMAXvvCFjC+sTU1N+I//+A/E43EoioJwOIx9+/ax2YWI8tbdd98NSZKwceNGlHuB4vpSnLgYRn8sCQBwuosw6ebPwuke204fiqLg+InjcCaTUDUgDifcVRPhKPKhpKoORb5ySLh6BzOH0w1PcRlKKmsR7e/DwMVuVCz8L4hfPAk3kpClVHPppIZJYw7WJeNRHN/9eyTjqQtNX5ETDZXFcDlkOJ1OfPWrX8Vdd901prGJBs2fPx9LlixBc3MzGiqLceR8PwJnjqH9zZ9h9p1/MarGulh/H/a/8woCZ47BU+TFlIYaFLkcWLJkCVatWjW0EUBRUZGtdwYkIiIiIiIiIspk/vz5ePXVV696fNeuXbZvTMgXmRaJjGUxnGhha6ZF4FaQD011QKqtzsqhuvPnz6ddrASIm+oAYMWKFWlDda2trTh79uyYW9BEYc98aKrLRajuzJkzwmNsqsuNsrIy4TGG6ojsJ9P5lN7hokzngQMDA5Y8R9JLPjXVAalQmp1DdaKmOrbUjYwkSaiursbp06evOsZQHWXDbk116TBUR2bI91CdnZvqZFlGSUlJ2nujDNVZE0N1RGQ5LS0tAD5+cR03blzGN2hOnz6NX//61wgGg5AkCaWlpUM3WJxOJ5LJJKqrqxEKhRAKhfDhhx/i7Nmz+OIXv4jrrrsu7Zg+nw/jx4/HmTNnhtrqWlpaGKojorwlSRLuvvtuzJw5E88//zxOnz6NybU+dAejOBeMIhmP4syhNtx0x0Mor0+/E1kmR48eRbFWAlXVMBBXUKQBriIvSmsnwuG49impBAlenx9urw+h8ychu72QJKDE7YAsS1ArqnD95MmjnlffuRP4YNs/pgJ1ElBfVoS6stRF5YQJE/Dtb38bN9xww6jHJUrn0UcfxYEDB9Db24vrq0twrGcAgTPH0LLpeTQt+RLGTbsZcoZ/D6qSxNnDu9HZ/BaSsQgcsoTrq0tQ5HKgsrISjz76KLxer60WZRARERERERERjdX8+fPTPn7p0iUcPXoUU6ZMMXlG9ElsqksRfR+suGD8WqG6SZMmmTib0cnUZJYpdLVixQqsXbs27bG33noLjzzyyJjmI1pIZqf7t6KFapkW7hlFFKrz+XyW/LdUCBwOB3w+X9q/cQzVEdmPKFTndrvhdOq7xDRTKMLqmyVky46hurq6uqH1d5908uRJfPrTn87BrPQhaqoTtfPR1UShuosXL+ZgNpQv7NZUlw5DdWSGTAE2o+89sKkus3g8LjyH/uY3v4m33noLd9xxB5YvXw63223y7CgdOdcTICK6UjKZxI4dOwB8fDO+qakp7ceqqorW1lb8y7/8C4LBIJxOJ6qrq4dumt9555145ZVXcOeddwJIvTFVXV0Np9OJYDCIf/mXf0FraytUVU07/uDzDs6jtbUViqLo98USEVnQDTfcgJ/85Cf4whe+AACoKyvClBof3E4ZkUAP2l57CV27fifc7TWdQCCAi70XAQ2IJBRolwN15fWTRhSou5LD4UR5/SS4irzQLo8HDbjYexGBQGDE42iahq5dv0Pbay8hEuiB2yljSo1vKFD3p3/6p1i/fj0DdaSr0tJSrFu3Dj6fDyUeJ6bU+uB1O5CMRdDxm1fxh5//DTqb30L3R/sRDvQgNhBEONCD7o/2o7P5Lfzh53+Djt+8imQsAq/bgSm1qXF8Ph/WrVvHhQNEREREREREVFDmzp0LWU7/dndbW5vJs6F0Mi2KHkuoTrQA2+qhOjs11VVUVAhbHnt7e02ezeicO3cu7eNOpzNjWLCpqQnTp09Pe2zLli1jno9oIZkV2xVErNRUJwpNjh8/3uSZ0JXKy8vTPs5QHZH9iM6njAgwZBrT6ud12bJjqM7hcAg3rRc1vdkFm+qyJzrPZlMdZYNNdUQjw6Y660kkEnj++efR0NAgXMt64sQJbNy4Effffz8aGhrw/PPPI5FImDtRugpDdURkKQcOHEAoFIKqqkM346dOnXrVx4VCIWzevBl//OMfoWkaiouLUVNTA7fbDZ/Ph6eeegpf+9rXUFpaiq997Wv4zne+A5/PB7fbjZqaGhQXF0PTNPzxj3/E5s2b076ZNfi8sVgMqqoiFArhwIEDxn4DiIgsoKioCN/85jexZs0aFBcXo8TjRFNdKcqLXdBUFR/98W20v/kzxAaCIxrv7LnUG50xRYWiApLsQGntREjS2E5FJUlOfb4sQ1FT46aeJ/0b5p8UGwii/c2f4aM/vg1NVVFe7EJTXSlKPE6UlJRg7dq1+MY3vmGLXU3IfhobG/HMM8+gsrISRS4HptaWYpzfC6dDRjwcwvH232P/r/8P3v8/P0TzP/xPvP9/foj9v/4/ON7+e8TDITgdMsb5vZhaWzrUUPfMM8+gsbEx118aEREREREREZGpfD6fMAjDUJ01iBranE7nmHZhFi2gs3qjiShUN5ZgodEcDgf8fn/aY1ZvmxCFrurq6oQB3EH33HNP2sd/+9vfjjkcJFoIyqa6sRE11TFUl1sM1RHlDzNbgTKNafXzumyJFleLzr+sQtTcJmp6swuG6rJXXV2d9nGG6igbbKojGpl8D9XZramuo6MDCxcuxNq1a0f8N6C7uxtr167FwoUL0dHRYfAMKROG6ojIUt5//30AH7+w1tfXX3Uj9siRI/jFL36BkydPQpIkVFRUoKKiArIsY9asWdiwYQMWLlw47HMWLVqEDRs2YObMmZBleehzJEnCyZMn8Ytf/AJHjhwZ9jnl5eVDJ72D8xmcHxFRIfjMZz6DDRs24MYbb4RDltBYVYIJlcWQJQm9JzrR+o8/Rk/XoYxjhCPh1IIBDYgnU+G3kqq6UTfUfZLD4URJVT2Ay+NqQCgURPgaF2Y9XYfQ+o8/Ru+JTsiShImVxWisKoFDljBt2jS89NJLuO2227KaG9G1NDY24uWXX8bSpUshSUBtqQczxpWhsboElSVueN0OyJd3g5YlCV63A5UlbjRWl2DGuDLUlnogScDSpUvx8ssvM1BHRERERERERAVr/vz5aR9nqM4aRKG6sYbJRAvorN5oIvo+WLGpDhC3TVg9VCdqqquvr7/m565YsSLt44lEAu++++6o55JMJpFMJtMey4dQXS6a6kShunHjxpk8E7oSQ3VE+cPMAEOm18J8DtUpioJgMP3GxVZuqgPEITM7N9VpmiYMBYpChHQ1hurICPnQVNfT0wNFUUyeDRWafA/V2amprqWlBYsWLUJ7e/uYPr+9vR2LFi1CS0uLzjOjkWKojogsQ1VVbN++HcDHL6xXttQlk0n89re/xZYtWxCNRuFyuVBbW4vi4mJIkoQHH3wQP/jBD4QXa9XV1fjhD3+IBx98EJIkobi4GLW1tXC5XIhGo9iyZQt++9vfDnuDo6mpadh8tm/fDlVVDfn6iYisqLa2Fs8++yzuv/9+SJKEqhI3ptb54HU7EI/0Y8+Wf0Bn81aogjeHL17sBQAkVA2aBsgOB4p86d9gG60iXzlkhwOalhofAHoFb+qrySQ+fG8L9mz5B8Qj/fC6HZha50NliRuSJOGBBx7As88+i9raWl3mRnQtpaWlePzxx/HXf/3XmDVrFiQJKPe6MLGyGE11pbhpQjnmTPTjpgnlaKorxcTKYpR7XZAkYNasWXj66afx+OOPW3bhDRERERERERGRGUShuvb2dmGghcwjWhQ91lCdaAFdPB639M9b1FRn1Xt7dg3ViZrqRhK6uvnmm3HdddelPbZly5ZRzyXTIjIrLgQVES3Cy0WoTvTzZVNdbjFUR5Q/ROdtRrxuDa7ZGs088oGopQ5gqC4X+vr6hJtfsKlu5BiqIyPkQ6hOVVX+OyDDiUJnkiTB5XIZ+txsqvtYR0cHli1bJtw8YaSCwSCWLVvGxrocya4ihIhIRx0dHejr64OqqkMvhoOhtosXL+JXv/oVLly4ACD1ZltZWRkkSUJNTQ0ef/xxzJgx45rPIcsyvvzlL2P27Nn40Y9+hJ6eHtTU1CAYDKK/vx979uzBqVOncNddd6GqqgpTp07FH/7wB8TjcaiqikAggEOHDmHmzJnGfSOIiCzG6XRi5cqVmDNnDl544QX09vZiSq0PZwNR9PTHcLz9PfSeOoqblj2EkorhobSBgdRNyKSSCiR7fH5IkHSZlwQJHp8fkb6LSCoqXA4H+tPcZB+4dB4fvPuPCJ0/BQCo9nkwzl8EWZJQWVmJv/qrv8Ls2bN1mRPRaM2fPx/z58/H8ePH0dzcjM7OThw5cmTYDXyfz4cpU6agqakJS5YswaRJk3I4YyIiIiIiIiIi6xCF6sLhMA4dOoSbbrrJ5BnRlfRuqsu0gC4cDqOsrGxM4xpNFKob6/fBaHYN1WXTVCfLMlasWIG/+7u/u+rYO++8g1gsNqqd0DO1J+ZDU12m3fCNImqqY6gutxiqI8ofZjbVDY6b7vXS6g3E2bh06ZLwmNVDdaLmNlHTmx1kmjub6kaOoTrSm6IowiCNUa9J2RCF6gCgu7s743GibImuzYuKiiBJ+qzPFGFTXUoikcBDDz2UdaBuUDAYxMqVK9Ha2mp4MJKGY6iOiCxjsLZ08IWwpqYGfr8f+/btw+9+9zskk0nIsoyKioqhpPnixYvxjW98Y9RvOs2YMQMbNmzAhg0b0NLSgvLycng8Hly6dAkXLlzApk2b8LnPfQ433XQTampqcOHCBUSjURQXF6OlpYWhOiIqSLNnz8aGDRvwt3/7t9i5cyeuq/CitMiJE5fCCJ0/hR2/fBHTPvtnGDd9PiRJggYgPJC66a1qqSY5V5G+bxa7PF5Erhg/PDAADYAEQNM0nD3UhsO/ewNKIg6HQ0JDRTHKvKkLjgULFuCb3/ymZRdaUGGZNGkSVq5cCSD1uxuNRpFIJOByuUy52UFEREREREREZEezZ8+Gy+VCIpG46lhbWxtDdTkmCtWNdSFcps+zaqguHo8jHo+nPcamOn1l01QHQBiqC4VC+I//+A8sW7ZsxHPJtIjMTqE6KzXViUJ1I/35kjEYqiPKH6Iwm5GhusGN1a9UqE11fr/ftHmMhai57fTp01AUBQ6Hw+QZZU/UsifLMkP7oyAK1Vn92oGsK1O42opNdTU1NcJj3d3dJs6ECpHo3oMZ9x3YVJeyfv167NmzR9cx29vbsX79eqxZs0bXcSkzOdcTICICUovHt2/fDuDjF9WGhga89dZb+M1vfoNkMgmPx4O6ujoUFRXB7XZj1apVeOKJJ8a8i6PP58MTTzyBr3/963C73SgqKkJtbS08Hg+SyST+/d//HW+//fbQ7jOD82ppaYF2ObxBRFRoysrK8N3vfhePPPIIXC4Xyrwu3FhXCl+RE0oijoP//i84sO2fkIxFoSoKkkoSAKCmiurgdOt7UeP0FA0bP6kkoaoKkrEoDmz7Rxz893+BkojDV+TEjXWlKPO64HK58Oijj+Kpp56y5CILIkmS4PV6UVZWBq/Xy0AdEREREREREZGAx+PB7Nmz0x5ra2szeTb0SWY31VmR6HsAMFSnt2ya6gBg6dKlwoDQli1bRjWXTIvIrLgQVES0+3symYSiKKbNIxwOC0NaXPSeWwzVEeUPs5vqRK+H+RyqEzXVSZJk+XULolCdoijCczCrEzXVjR8/Hk4nu0pGSnTt0Nvba+r5IuWPTK8DVmyqc7lcwn8HDNWR0TI11Rktl6E6qzTVxeNxvPjii4aMvX79euEmXWQMhuqIyBI6OzvR09MDVVWHXgj37t2Ljz76CJIkoby8HNXV1ZBlGY2NjfjJT36C22+/PetF5pIk4Y477sBPfvITNDY2wuFwoLq6GuXl5ZAkCZ2dndi7dy+A1Au0qqro6enBRx99lO2XTERkW5Ik4a677sILL7yACRMmwOWQMbnGh/ryIkACzn3YjtZfvoBLZ7uGPmcoiizpfPp5ebwro86XznSh9Z9+jHMf7gEkoL68CJNrfHA5ZEycOBEvvvgivvjFLzKoRERERERERERElAfmz5+f9nGG6nJPtBjOiFCdVRdgh0Ih4TGG6vSjaVrWTXUulwt33XVX2mNbt26FOri73whkCnnaqaku00I1M9vqRD9bgKG6XGOojih/mB2qE41r1XM6PYhCdX6/H7Js7WW8gxvSpyMKp1mdqKlOFCCk9ERNdaqqZmxnJBKxW1MdANTV1aV9nKE6Mlq+h+pEX59VQnVbt2417N/5uXPnsHXrVkPGpvSsfTZORAXj/fffB5B6ERxsgVMUBU6nE9XV1UNvrg2GOPS+gJ04cSJeeOEFfPGLXwSQejOvuroaTqdzaNcUTdOGXqQH50tEVMiuv/56rF+/HrfffjsAoK6sCFNqfXA7ZUT6LmLP63+PvqN7oGkahuJr2sjfdB6Ry+NJSP2d7ju6B3te/3tEgr1wO2VMqfWhrix1oXjHHXdg/fr1aGxs1HcORERERERERERElDOiUN3+/ftNDX3Q1fRuqsu0qNuqTXWZQnVj/T4YzY6humAwKFxsNdKmOgC455570j7e3d2NHTt2jHicTIvI7BSqy7QQT/T9NsKZM2eEx0YamiRjMFRHlD9EYTajAgyi8zqrntPpQRQw8vv9ps5jLCoqKoS/C6JwmtWJwoCZAoR0NVGoDgB6enpMnAnlC7s11QEM1VHu5HuoTnRf14yvbyS2bdtm6/FpOIbqiCjnNE1DS0sLgOEv8sXFxaipqYHb7UZpaSm++93v4pFHHoHb7TZkHm63G48++ii++93vorS0FG63GzU1NcNuCgzOr6WlZSj8R0RUyIqKirBq1SqsXbsWJSUlKHE70VRXCn+xC9BU9H24E+d3/hpaInXTIxnX903WZCw1npYYwPmdv0LfhzsBTYW/2IWmulKUuJ0oKSnBE088ga9//euW2amEiIiIiIiIiIiI9CEK1SUSCezbt8/k2dCVRKG6sS6EyxRGsuoCbNH3AGBTnZ4yNZmNJnR1++23C99HePPNN0c8jmgRmcPhgMvlGvE4uWaVpjpRqK60tNSy4dRCwVAdUf5gU53xRE11FRUVJs9k9CRJEm6Ab9dQHZvq9MFQHemNTXVEI5fvoTqrN9Xt2rXL0PF3795t6Pg0HEN1RJRzx44dQ3d391ATnCRJqKioQEVFBWRZxk033YQNGzZgwYIFpsxnwYIFeOmllzBr1izIsjw0F0mShpr0zp07h2PHjpkyHyIiO7jtttvw0ksvYfr06XDIEiZVlWBiZTGcDgeiPadwaefbUBMxJKL6XTgBQCIWgZqI4dLOtxHtOQ2nw4GJlcWYVFUChyxh+vTpeOmll3Drrbfq+rxERERERERERERkDdOnTxcurGprazN5NnQl0aLosYZgZFkWLgyy6gJsUVOdLMuWbSwTheoCgQCSyaTJsxmZc+fOCY+NpqnO5/PhC1/4Qtpjb7755og3XRUtBPV6vZAkacTzybVMC/HMDNWJQpPjx483bQ6UHkN1RPlD9NplVKhOdP5u1XM6Pdg5VAeIG9zsGqpjU50+iouLhdc1DNXRWGR6HbDqNTRDdZQr+R6qs3pTXWdnp63Hp+EYqiOinHv//fcBpF7gXS4XamtrUVxcDFmWsXLlSnz/+98XvnljlOrqavzgBz/AQw89BFmWUVxcjNraWjidzmFtdURE9LHa2lo888wz+PKXvwxJklBZ4sb4EkDSFKjRfsQvHEesPwAN+jR9atAQ6w8gfuE41Gg/JE3BeB9QWeKGJEn48pe/jGeeeQa1tbW6PB8RERERERERERFZj9PpxNy5c9MeY6gut0Qtbdk0S4kWdlu1qU4UqistLbVsuCrT+7KixeC5Jgpd+f3+US+2WrFiRdrHjxw5gkOHDo1oDNEiMqsuAhXJtPu7aPGeEURNdaNpISRjiEJ14XAYiUTC5NkQUTas0lRn1XM6Pdg9VCdqcBOF06xMVVWcPn067TE21Y2eqK3Oyk3XZF2ZNiiRZWtGHhiqo1zJ5b0H0XMkEgkoiqLLc1i9qc7ozYbMvO9CDNURkQUcP34cAOBwOFBdXQ2n04na2lo8++yzuP/++3N2MizLMh544AE8++yzqKmpgdPpRE1NDRwOBwCgq6srJ/MiIrIyh8OBBx98EE899RQAoLa6EgAgS4DsckFVFET79dmdMtrfB1VRILtckC+vPairTr3Z/9RTT+HBBx8c+ptNRERERERERERE+Wv+/PlpH2eoLrdEobpsFmeLWk2sugBbFKrLJlhotMrKSuExqy6MFTXVjaalbtCXvvQl4fvTW7ZsGdEYooVtot9fq8q0UM3MpjpRqI5NdbknCtUBQDAYNHEmRJQtq4Tq8rmpLhAIpH3c7/ebOo+xEoXN7NhU193dLQx/s6lu9ESbcrCpjsbC7NcjPYiuOzM1qltdPB7H5s2b8fDDD2POnDlDoUav14s5c+bg4YcfxubNmxGPx3M91YJmxaY6QL+2Oqs31Rkd7rPK11koGKojopybMGECAMDtTjUL3XbbbXjppZcwffr0HM8sZfr06diwYQNuu+02SJIEt9sNgDvTEBFlMrhYQnJ54HB5IMkOlNSm/m4OXOyGoiSzGl9Rkhi4mLr5UFI7EZLsSD2PM/U3Op9vthMREREREREREdFwolDdoUOHhKEmMp4RTXWiUJJV7wmLvgelpaUmz2TkMjXVWTVUJ2qqG0uTWU1NDW699da0x958880RjZGpXcFOMi3gMnPHdNHPl6G63MsUquvr02eTTSIyh+hcyqhAeCGG6vK1qc6OobpM7XpcDzh6oqY6hupoLETXUlbeoETUVHfhwgWoqmrybLKTSCTw/PPPo6GhAffffz82btyI/fv3IxqNQtM0RKNR7N+/Hxs3bsT999+PhoYGPP/882ypzpF8D9VZvamuqanJ1uPTcAzVEVHO/fmf/znuv/9+LFy4EGvXrsWaNWsst7NESUkJ1qxZgzVr1mDhwoW4//778V//63/N9bSIiCyrpaUFANAXScDj8aCoZiK8niI4ZEBTFYTOn4Smje3Ggaapqc9XVThkwOspQlHNBHiKPAhEEsOen4iIiIiIiIiIiPKfKFSnaRra29tNng0NEi2KziZUJ3oP0W5NdVYO1RUXFwsXKFk1VKdnUx0ArFixIu3ju3btGtHCcdECMruF6qzeVDeW0CTpi6E6ovxhdjOQ3TZK0IPdQ3WiBrfu7m5Tzwv0IDqfKyoqEgbESIyhOtKTHZvqRKE6RVEsew2dTkdHx9Aa7u7u7hF9Tnd3N9auXYuFCxeio6PD4BnSJ+V7qM7qTXXz5s0zdPybb77Z0PFpOIbqiCjn3G43Vq5ciaeeemqoDc6KJEnCZz7zGTz11FNYuXLlUGMdERENF4lEsGfPHgBAXzgBl8uF+qZPARLgdTkgSUAiGkHfueOjbqxTlCT6zh1HIhqBdHk8SED91E/B5XShL5wK1bW3t+t2gUZERERERERERETWNnnyZOFi1La2NpNnQ4PMbKqzW6gum++B0SRJErbVWXVBoJ5NdYA4VAcAb7311jU/X/T+hJXbFdJxOBxwOp1pj1khVMemutwrKysTHmOojsheROdSRoUY7LZRgh7sHqrL1OB26tQpE2eSPVFT3cSJEy27btHKGKojPeVTUx2AEYfTcq2lpQWLFi0a88ZU7e3tWLRoETfBN1m+h+qs3lR3xx132Hp8Go6hOiIiIiLSVVtbGxKJBGIJFdGEAsnhwMyFn4XL5YYsSyh2fxysu3TqCCL9AWjQMo6pQUOkP4BLp44MBeqK3Q7IsgSXy42ZCz8LSZYRTSiIJVQkEgns2rXLpK+YiIiIiIiIiIiIckmSJOHuwAzV5Y4oVJfN4my7tZrYsakOgO1CdXo31d1www2YPXt22mNbtmy55ueLFoLarakOEC9WEy1u09vAwACCwWDaYwzV5Z7T6RT+TWeojsg+VFUVLn42O1Rn1XM6PQQCgbSP+/1+U+cxVplCdSNp8rUS0XwzfY0kJgrVWfXagazNjqG62tpa4TE7hOo6OjqwbNky4XXXSAWDQSxbtoyNdSbK91Cd1Zvqli9fnjFUm436+nosX77ckLEpPYbqiIiIiEhXg7vOBCJxAEDlxKnwlpTixhub4HQ44ZAllLgdcMiApqrov3AGvSc60d/bjdhAEEoyDkVJQknGERsIor+3O3X8whloqgqHjMufL8HpcOLGG5vg9ZWhcmLTsOfl7jdERERERERERESFY/78+WkfZ6guNxRFES7uyaalzW6tJqJgIUN1+tK7qQ4Qt9X9/ve/FzbNDBItILNjqE60WM2spjrRzxbI7udL+ikvL0/7OEN1RPaR6TzKqFCd3TZKyJamacJQnV2a6kpKSlBZWZn2mKj5zapE821oaDB5JvlBdO3ApjoaC9HrgFGvR3pwu93Cv+VWD9UlEgk89NBDWQfqBgWDQaxcuRKJREKX8SizXN57YFNd6t/+Y489ZsjYq1evhtvtNmRsSo+hOiIiIiLSTSwWG2qI64ukLpDrpqR2cy32FmPa9GlDjXUlbic8LhmSBKiKgkjfRQTPn0LvySPoPdGJ3pNHEDx/CpG+i1AVBZIEeFwyStzOoYa6adOnodibuuFeO+WmYc+7a9cu097UJSIiIiIiIiIiotwSheqOHTvGxXw5kGlBdDahOtECbKuG6vKtqa63t9fkmVxbPB4Xhv3G2lQHiEN1yWQSv/71rzN+rmgBmZXbFURy3VR35swZ4TGG6qyBoToi+8t03mbUa1ehNdWFQiEoipL2mF1CdYC4yY1NdYVN1FTH63AaCzs21QEQtlVZPVS3fv167NmzR9cx29vbsX79el3HpPRy2VSX6TkKpakOSIXf5s6dq+uYc+fOxerVq3Udk66NoToiIiIi0s3u3bsRi8UQT6qIxBVAklBzw6yh48XeYtw0axaqKqsACfA4ZZR6nPC6HXA5JMhaEuGufQi0v4Nw1z7IWhIuhwSv24FSjxMepwxIQFVlFW6aNWsoUAcAtZNvAiQJkbiCeFJFNBpFe3t7Lr4NREREREREREREZDJRqA7A0EZgZB5RQxuQ3Q7zdms1EYXqsgkWmsFOTXWZFilmE7r61Kc+hUmTJqU9tmXLloyfK1oIasemOlGoLtdNdWVlZZb/d1QoGKojsr9M51FGNQPZrX04W5labhmqMx+b6vQlCtVdunQJyWTS5NmQ3dmxqQ6wZ6guHo/jxRdfNGTs9evXIx6PGzI2fSyXoTpJkoTPo0eoTlVV4e+QVZrqAMDlcmHTpk0oKyvTZbzy8nJs2rQJLpdLl/Fo5BiqIyIiIiLdtLS0AAACl9viKiZMhrt4+JuaTqcTkydPRtPUJpSWlgES4HJIcMSCCO5+G7H/bIMWOIPYf7YhuPttOONBuBwSIAGlpWVoamrC5MmT4XQ6h43rLvah4rrJAD5uqxucDxEREREREREREeW36667ThigaWtrM3k2lClUl00Qxm4LsEXfB7s21VkxVHfu3DnhsWya6iRJErbVbdu2LeMiMdExO4bqRIvkct1UN378eFOen66NoToi+8t0HmV2qC4ej+dlCCcQCAiP+f1+0+aRLVHoTBRSs6JYLCYMubCpbmxEoTpN0zIGSonSYVOdebZu3WrY/M6dO4etW7caMjZ9LJehOkB8j0OPUF2mUKaVmuoAYMaMGXj33XezDtaVl5fjnXfewYwZM3SaGY0GQ3VEREREpItEIjG0OGUw1FY3Zbbw4/1+P6ZPm4aZM2fBM3AePTvfQjLUC0lT4Ur0Q9JUJEO9uLDjLXgGzmPmzFmYPm0a/OV+4Zi1U24a9vw7d+5EIpHQ6SskIiIiIiIiIiIiKxO11TFUZ75MjSfZhOrypamOoTr9iJrMXC4XKisrsxpbFKobGBjA//2//1f4eaIFZFZfCJpOrpvqRKG6bFoISV8M1RHZXy6a6jK9Jlr1vC4bmYJFdgrV5UNT3alTp4TH2FQ3NqJQHQD09PSYOBPKB2yqM8+2bdtsPT7ld6gu00Y+VmqqG7R48WJs374dc+fOHdPnz507Fy0tLVi8eLHOM6ORYqiOiIiIiHSxd+9ehMNhJBQV4VgSkCTUTr4p4+ckYhEc/d1mnN/7Hygp8uC6uiosmN6AW2ZPw4LpDbiurgolRR6c3/sfOPr7f0UilvmiazDENxBLpuYRDmPfvn26fY1ERERERERERERkXaJQ3a5du0yeCWVqqstmMZzdmuoYqjOeqKmuvr4ekiRlNfZtt90m/F5s2bJF+Hmi38d8aqozK1QnCk2yqc46GKojsr9MITajXrsynQ9a9bwuG6JQnc/ng8vlMnk2Y5cPobpMc2VT3diIzpcBa14/kLWxqc48Rt8r2717t6HjU36H6jLdc7BaU92gGTNmoLW1Fc8995zwb8In1dfX47nnnkNraysb6nKMoToiIiIi0kVLSwsAoC+caobzj5sEjy/9G2kAEDhzDK3/9GN0f7QPkgSM8xdhco0PHpcTRUVF8LicmFzjw7jyIkgS0N25F63/9GMEzhwTjunxlcM/vjE1j8ttdYPzIiIiIiIiIiIiovwmCtWdPXsWp0+fNnk2hU0UqnO73VktHBYtpLPq4mtRqC6btj4zZArVaZpm8mwyE4Wu9GgyczqduPvuu9Mee+utt6AoStpjogVkdgzViXaAz7RrvJ5ETXUM1VkHQ3VE9icK1Xm9XsiyMctLM4Xq8rGpLhAIpH3cTi11gLjJra+vD8Fg0OTZjI0oVFdRUWH5c3Sr8nq9wus0NtXRaLGpzjydnZ22Hp/E9x7yIVRnt6a6QS6XC2vWrMGJEyfw2muv4atf/SrmzJkDr9cLSZLg9XoxZ84cfPWrX8Vrr72G48ePY82aNbbaZCFfMVRHRERERFlLJpPYsWMHACBwOcxWO2VO2o/VVBX/ufM32LX57xANXoLbKWNKbSlqS1MXdHfeeSdeeeUV3HnnnalxyoowpbYUbqeMaPASdm3+O/znzt9AU9W049debqsbDPe1trYK39gmIiIiIiIiIiKi/DFv3jzhsba2NhNnQqJQXbYLVUWLNa26+Fr0fbBrU10sFrNcgDFTU50eVqxYkfbxnp4e4aZ+ogVkVm9XSEe0WM2spjpRqE6P0CTpg6E6IvvLRYCh0EJ1oqa6iooKk2eSnUxNbnZpqztx4kTax9lSl53q6uq0jzNUR6OVb01158+ft9zGNIOMvqYzayOWQib6Hpu1oQ+b6sTcbjfuu+8+/PznP8fevXsRDoehqirC4TD27t2Ln//857jvvvvgdrtzPVW6jKE6IiIiIsragQMHEAqFkFRVDMSSAIDaKTdd9XHRUAC73/gpjra8C01TUVHixo11pSh2O+Dz+fDUU0/ha1/7GkpLS/G1r30N3/nOd+Dz+VDsduDGulJUFLuhaSqOtryL3W/8FNH+wFXPMRiq648lkVRVhEIhHDhwwNCvn4iIiIiIiIiIiHKvqqoKN9xwQ9pjDNWZS7QYOttQnWgBttWCXkBqMzrRAie7huqAVFudlRjZVAcAX/jCF4QLxd588820j4t+H+3YVCdarGbWAknRz5dNddbBUB2R/Ylet4wM1WUKRzBUZ13XXXcdJElKe8wuoTrRPBmqyw5DdaSXfGuqSyQSwteAXDO67csOwSe7E12Xs6mOaPQYqiMiIiKirL3//vsAPm6HK6ubCG9Z5bCPOX/0AFr/6ce4dOoIZFlCQ2UxGiqLIcsSZs2ahQ0bNmDhwoXDPmfRokXYsGEDZs6cmfqcqo8/59KpI2j9xx/j/NHhgTlvWSXK6iak5hNJDpsfERERERERERER5bf58+enfZyhOnOZ3VRnxVBdKBQSHsv2+2A0O4XqjG6qKy4uxu2335722JYtW9K2DogWkNkxVJfLprr+/n4Eg8G0xxiqsw6G6ojsLxcBhqKiImE4y4rnddnKl1Cdy+USnmPZJVQnaqpraGgweSb5haE60ku+NdUBQHd3t4kzGbmmpiZbj1/oNE3L61BdpnsODNWRERiqIyIiIrI5TdMQDocRDAYRDodNr41XVRXbt28HAAQiqVDdYFscACjJBA7/7g3se3sjEtEwvG4HmupKUVHihiRJePDBB/GDH/xAeJOturoaP/zhD/Hggw9CkiRUlLjRVFcKr9uBRDSMfW9vxOHfvQElmRj6nMHn7wvHAQDbt2+HqqqGfP1ERERERERERERkHaJQ3a5du0y/d1rIRKG6bBdnixbSDQwMWO7nmylUZ/WmuoqKCuFCd6uF6oxuqgOAe+65J+3jx44dwwcffHDV46IFZFZfCJqOaDGeGaE60c8W0PfnS9lhqI7I/nIRqpMkSTh+PjbVBQKBtI/7/X5T56EHUfhMFFazGjbVGYOhOtJLvjXVAdYN1c2bN8/Q8W+++WZDxy908XhceCzfQ3VsQSQjOHM9ASIiIiIava6uLjQ3N6OzsxNHjx4dtkDB5/Nh8uTJaGpqwtKlSzFp0iRD59LR0YG+vj4kVQ39sVQzXN3lUFv/xW588O4r6O9JvfFZU+rBuPLUrnM1NTV4/PHHMWPGjGs+hyzL+PKXv4zZs2fjRz/6EXp6ejC11oezfVFcCMVwct8fcen0Udy07C/gq6pD7ZTZOPL+O+iPJaGoGgKBAA4dOoSZM2ca940gIiIiIiIiIiKinBOF6i5duoSjR49iypQpJs+oMIkWwmXb0CZaSKcoChKJBNxud1bj60kULASsH6pzOBzw+/1pW1WsFKrTNM3wpjoA+OIXvwiHwwFFUa469uabb2L27NnDHhO1K+RTU51oR3w9nTlzRniMoTrrEIXqBgYGkEwm4XRyaRqR1YnO24wOg5eUlKQ9X8rHUF2+NNUBqfDZjh07rnqcTXWFTRSqs9K1A1nf4Kby6Vh9g5KioiKUlZWlbdq2aqjujjvuwMaNGw0dn4yT6Zo8H0J1oq9PkiReY5Ih2FRHREREZCNtbW144okn8I1vfAObN2/Gvn37rrrR3N/fj3379mHz5s1YtWoVnnjiCezatcuwObW0tAAAgpEEoAG+6nHw+qtx6oPt2PHPL6K/5yycDhk31JRgvN8LSZKwePFivPTSSyMK1F1pxowZ2LBhAxYvXgxJkjDe78UNNSVwOmT095zFjn9+Eac+2I5ifw181eOgaUDf5fa8wXkSERERERERERFR/po7dy5kOf3b4G1tbSbPpnCJAmXZhuoyLaQTLb7LFTs31QFAVVVV2settDD20qVLwt3Z9QxdVVVVYcmSJWmPbdmyZdh/a5omXPxlx1CdFZvqysvLLd9UUUhEoToAaRcVE5H15KoVKFMDcb7Jt1BdOnYI1fX19Qlfm9hUlx3RtQOb6mg0YrGYsIHe6qE6QNxWZ9VQ3fLlyzM27GWjvr4ey5cvN2RsSskUXMuHUJ3onkNRUarMgUhvDNURERER2UAoFMKPfvQjfO9738PBgwehaUAgnMDJ3jA6u0P44FQf9p0M4INTfejsDuFkbxiBcAKaBhw8eBDr1q3Dj3/844xv4o+FpmnYvn07gI/Da5UTp2L/r3+BQ7/dDDWZQGmRCzfW+1Ba5ILb7R4K+o118YTP58MTTzyBr3/963C73SgtcqGpLjW+mkzg0G83Y/87r6By4tRh82ppaRHefCEiIiIiIiIiIqL84PP5MH369LTHGKozjyhUl+3i7EwL6ay2AFt0P16SJFssCLRDqE7UUgfo21QHACtWrEj7+N69e9HV1TX035l2i7fDz/2TrNhUx5Y6a8kUquvr6zNxJkQ0VqKNCYwO1YnGt9pGCXrIp1CdqNFN1ABnJZmCf2yqy46oqY6hOhqNTNf0dthUw26hOrfbjccee8yQsVevXg23223I2JSS6ZrcrA19ctFUJ7pHQZQthuqIiIiILK6rqwurVq1Cc3MzNA04H4qi42wQxy8OoHcgjkhcgXo5LKZqGiJxBb0DcRy/OICOs0GcD0WhacB7772HVatWDXtzN1udnZ3o6emBqmoIRVPhtZP738f5I/shScC4wSY5WUZjYyN+8pOf4Pbbb896xxBJknDHHXfgJz/5CRobG+G63IQ3zu+FJAHnP9qHk/vfBwCEogmoqoaenh589NFHWX/NREREREREREREZG3z589P+zhDdeYxqqku00I6qy3AzvQ9sMOu2pWVlWkft1KoTtRkBogXNI6VKFQHAFu3bh36/5l+D+3YVCdasGZGU50oVDd+/HjDn5tGjqE6IvvLVVOdaHyrbZSgh0AgkPZxv99v6jz0IGp0O3XqlOU3ORaF6iRJwnXXXWfybPILQ3Wkh0zXUnbYoES0sYtVQ3VAKvw2d+5cXcecO3cuVq9ereuYdLVMobp8b6ojMgJDdUREREQW1tXVhSeffBK9vb2IJhR8dD6Es4EokooKd3EpJs39E8y56yu49SvfwZL//j9x61e+gzl3fQWT5v4J3MWlSCoqzgai+Oh8CNGEgt7eXjz55JO6Bevefz8VXOuLplrxAEBTFLidMqbUlqK2NPVm61133YUXXnhBeIN1rCZOnIgXXngBX/ziFwEAtaUeTKkthdspQ1OU1Hy01PyunC+R1WmahnA4jGAwiHA4bPk3IIiIiIiIiIiIrEQUqmtvb0cymTR5NoVJtBg621BdpoV0VgvViZrqSktLTZ7J2Ni5qa6yslL33csbGhqEiw3ffPPNof+fafGYHUN1ogVrZjTViUKTDNVZS1lZmfAYQ3VE9pCrUJ3ovC4fQ3X51FQnWvMRjUYtH6AStemNGzcOLpfL5NnkF1GoLhAIIJFImDwbsqt8barL1LCeay6XC5s2bcp4Tj8a5eXl2LRpE/+mmiDfQ3VsqiOzOXM9ASIiIiJKLxQK4emnn0Z/fz8GYkkc6xmAompwFhWj6TN3Y9y0myE7rj6dK/ZXo3bKbEy59U6cPbwbnX94G5FoGEfO9+P66hIA/Xj66afx8ssvZ/XmvaZpaGlpAQD0hT++CVZR4sYEvxeyLKG0tBR/+Zd/iQULFoz5ea7F7Xbj0Ucfxac//Wn87d/+LRAK4ca6UpwKRHBpID40v4piN1paWvCVr3zFFrsAU+Hp6upCc3MzOjs7cfTo0WE7Wft8PkyePBlNTU1YunQpJk2alMOZEhERERERERFZmyhUFw6HcejQIdx0000mz6jwGNVUlylUZ7UF2KJQXbbfA7PYIVQnCl2NGzfOkOdbsWIF2tvbr3r8D3/4A3p6elBdXZ1x8Zgd2hU+yYpNdUb9fGlsXC4XiouL0wabGaojsgfROZTRr1uigITVNkrIViQSEb5u2jFU19DQIDx24sQJ1NTUmDib0RE11em9OXQhEoXqAKC3t1f3FmnKT3ZvqhP9nlu5qQ4AZsyYgXfffRfLli1DMBgc8zjl5eV45513MGPGDB1nRyL5HqpjUx2ZjU11RERERBb105/+dKihbjBQ5x9/PRY/9G1cN3NB2kDdlWSHE9fNXIDFD30b/vHXQ1E1HOsZGGqs+9nPfpbV/I4dO4bu7m6omoZQNAlZltBQWYyGymLIsoSbbroJGzZsMDRQd6UFCxbgpZdewqxZs66aSyiahKppOHfuHI4dO2bKfIhGqq2tDU888QS+8Y1vYPPmzdi3b99Vi476+/uxb98+bN68GatWrcITTzyBXbt25WjGRERERERERETWNnv2bOGu2G1tbSbPpjCJQnXZ7i5fVFQk3DTNaguw2VRnPNGO//X19YY83z333JP2cVVV8atf/QpA5t/DfGqqy2Wojk111lNeXp72cYbqiOwhV011ovGttlFCtkQtdYA9Q3W1tbXCay1RaM0qRE11mYKCNDKZQnVWun4ga8vXpjqrh+oAYPHixdi+fbuwnf1a5s6di5aWFixevFjnmZFIplCdWW1ubKqjfMJQHREREZEFtbW1obm5GZoGnOgNDwXq5t7zCDy+9G9MiXh85Zh7zyNDwboTvWFoGvDee+9ltYDk/fffBwCEokkUuWQ01ZWiosQNWZaxcuVKfP/73xe+6W6U6upq/OAHP8BDDz0EWZZRUeJGU10pPC4ZoWgSAIba9YhyLRQK4Uc/+hG+973v4eDBg9A0IBBO4GRvGJ3dIXxwqg/7Tgbwwak+dHaHcLI3jEA4AU0DDh48iHXr1uHHP/6xcHEOEREREREREVGh8ng8mDNnTtpjDNWZw6imOkmShDvUWy1UJ/oeMFSnH7Ob6mbOnInJkyenPbZlyxYAmReP2TFUJ1qwlmkBn15EP1+G6qyHoToiexOdQzFUp49AICA85vf7TZuHXmRZxoQJE9Ies3qojk11xsm0Nqinp8fEmZCdiV6PnE6nMMxrJZlCdZqmmTyb0ZsxYwZaW1vx3HPPjbhd0u/347nnnkNraysb6kwmuvfgdqfWbpqBTXWUTxiqIyIiIrKg119/HQBwoT+KSFyBs6gYs+/8Czhc7jGN53C5MfvOv4DT40UkruBCf+rC44033hjzHI8fPw4AcMoSptT64HHKqK2txbPPPov777/ftAu0T5JlGQ888ACeffZZ1NTUwOOUMbXWB6ec2r24q6srJ/MiulJXVxdWrVo1FJ49H4qi42wQxy8OoHcgjkhcgXr5ppqqaYjEFfQOxHH84gA6zgZxPhQdCseuWrWKv9dERERERERERJ8wf/78tI8zVGcO0WLobEN1AIShOqstwM7Xprre3l6TZyJmdlOdJElYsWJF2mP/9m//hoGBgYyLx+y4+EsUqjO6qS4UCgn/DRkVmqSxY6iOyN5y1VRnl3O6bOVbUx0gbnYTNcFZhShUx6a67Hk8HuG1HkN1NFK5ej3SiyiIFo/HbXNe7HK5sGbNGuzbt29EH/+Xf/mXWLNmjS1Cj/lGtNGNmZv5sKmO8glDdUREREQW09XVNdRadSEUBwA0febuUTfUfZLHV46mJV8CAFwIxaBpwIEDB4bCcaM1uPtYiccJSZJw22234aWXXsL06dOzmqdepk+fjg0bNuC2226DJEko8TgBcJcxyr2uri48+eST6O3tRTSh4KPzIZwNRJFUVLiLSzFp7p9gzl1fwa1f+Q6W/Pf/iVu/8h3MuesrmDT3T+AuLkVSUXE2EMVH50OIJhT09vbiySefZLCOiIiIiIiIiOgKolDd/v37DQ+DkLilTY/FcKIxrNZUJwoE6REsNIMoVBcIBKAoismzSc/spjoAwlBdNBrFv//7vwt/D4uKinK2GWE2REFAo5vqRD9bgE11VsRQHZG95SrEYJdzumyJQnUej8eWLbaAeM2FlZvqVFVlU53Bqqur0z7OUB2NlOjvvyiEbTWZ2t26u7tNnEn2RjrfI0eOGDwTEhFdk5u5mQ+b6iifOHM9ASIiIiIarrm5GQDQF0mkQjYlpRg37WZdxh437WYcef8dxMMhBKMJlHtdaG5uxsqVK0c91p//+Z/D4XDgxIkTWLp0KW699VZIkqTLPPVSUlKCNWvWYPHixWhubkZDQwMeeOCBXE+LClgoFMLTTz+N/v5+DMSSONYzAEXV4CwqRtNn7sa4aTdDdlx9mVbsr0btlNmYcuudOHt4Nzr/8DYi0TCOnO/H9dUlAPrx9NNP4+WXX7bNTtdEREREREREREYSheoSiQT27duHW265xeQZFRZRqM7IpjqrLcAWfQ/scv9OFKrTNA2XLl0SLpo1k9lNdQCwaNEi1NbW4vz581cd27JlC+6+++60n2fXRfO5aqrLFKpjU531MFRHZG+iUJ3RIQZRqC7fmuoCgUDax/1+v6nz0JMdQ3UXLlxAPB5Pe4yhOn1UV1en3QiYoToaqXxtqgNSIbUbb7zRxNlk59SpUyP6uMOHDxs8ExLJ91Adm+rIbPbbBouIiIgoz3V2dgIAQtEEAGDcjelDNmMhO5xDAb1gJDHs+UbL7XZj5cqVeOqpp4ba4KxIkiR85jOfwVNPPYWVK1fC7XbnekpUwH76058ONdQNBur846/H4oe+jetmLrjmv3XZ4cR1Mxdg8UPfhn/89VBUDcd6BoYa6372s5+Z9JUQEREREREREVnb9OnThQuv2traTJ5NYUkkEsIFq0aG6qy2AFvUVGf3UB0AXLx40cSZpBeNRoXNL0aGrhwOB770pS+lPfb2228Lf+52aVf4JNGCPKNDdWfOnEn7eHl5uW2/l/mMoToie7NaU53VzumyJTpfqaioMHkm+rFjqO7EiRPCYw0NDSbOJH+xqY6yZfemuuLhcX9ZAAEAAElEQVTiYuE9D7s11Y307/nhw4ehaZrBs6F0rB6qy/b3gk11ZDaG6oiIiIgsRNM0HD16FAAQSSgAAP/4Rl2fo3xc47Dxjxw5wgtcIhO0tbWhubkZmgac6A0PBerm3vMIPL70bziLeHzlmHvPI0PBuhO9YWga8N5773FRGBERERERERERUsGXuXPnpj3G+yfGyrQQWo9QnWgBttWa6hiqM1amRYlGNtUBwIoVK9I+funSJfzbv/1b2mP51lQXjUYNfW9JFKobP368Yc9JY8dQHZF9JRIJJBKJtMeMDtXZZaOEbOVjqE4UQjt9+jSSyaTJsxkZUUDE7XajpqbG5NnkJ9H1gxWuHcge7N5UB4jb6vI1VDcwMIDTp08bPBtKx8qhOiD7jXjYVEdmY6iOiIiIyEIikQj6+/sBALGECgDwVev7BmFpzfhh4/f39wsvRIhIP6+//joA4EJ/FJG4AmdRMWbf+RdwuMbWnuhwuTH7zr+A0+NFJK7gQn/qhsQbb7yh25yJiIiIiIiIiOxs/vz5aR9nqM5Yg/e409FjMZxoAbZdQnV6BAvNUFxcLFysZIWFsWfPnhUeM7KpDgA+//nPC3+Ob731VtrH7Rqqy7QgTxTC0IPo58tQnTUxVEdkX5nOn3LVVGe1c7ps5WOoTtRUp6pqxnO0XBI11U2cOBGyzGXUemBTHWXL7k11QOGF6oBUWx2Zz+qhukgkktXYbKojs/FskIiIiMhCrty1S728w+dYAzcig+OpV+wgauQbn0QEdHV14eDBg9A04EIoDgBo+szdo26o+ySPrxxNS74EALgQikHTgAMHDuD48eNZz5mIiIiIiIiIyO5EobpDhw4JA0+UvUyhOj0CZXZpNRF9H+zSVCdJkqXbJs6dO5f2cY/HIwz46KWoqAjLli1Le0y0cMxOC0GvlGkXeCM3bGRTnb0wVEdkX5nOn3IVqrPaOV22AoFA2sf9fr+p89CTKFQHjC6IYSbRvDJ9LTQ6DNVRthiqsw6G6qxPdO/BzA19jAzVsamOzMZQHREREZGFOJ3Oof8vSxIAQEnEdX2OwfEGxwcAl8ul63MQ0XDNzc0AgL5IAklFhbukFOOm3azL2OOm3Qx3cSmSiopgNDHs+YiIiIiIiIiICpkoVKdpGtrb202eTeHItBBaj1CdXVpNRMFNu4TqAFg6VCdqQRk3bhykK97/MMqKFStG9fF2barLtGBNtHO8HkShOqNbCGlsGKojsq9M521GhxjsslFCtvKxqc7v9wvP60WNcLkmmldDQ4PJM8lfDNVRtkR//40OeespX0J1p06dGvHHMlSXG2yqI9IXQ3VEREREFuL1eoduPnpcqVO1/p70bxyOVejCmWHj+3w+XnAQGayzsxMAELoceht3482QHc5MnzJissM5FNALRhLDno+IiIiIiIiIqJDdcMMNqKysTHusra3N5NkUjkxNdXoshrPLAmxRqE6PYKFZ7Biqq6+vN+X577zzzmEbJV6LndoVrpTp/SMjQ3Winy+b6qyJoToi+7JiU10ymUQ8ru/Gw7mUj6E6SZKEDW9sqitcDNVRtthUZw2aprGpzgbyPVTHpjoyG0N1RERERBYiSRImT54MAPC6HACAwJkuXZ+j72zXsPGnTJliyq6tRIVK0zQcPXoUABBJKAAA//hGXZ+jfFzjsPGPHDkCTdN0fQ4iIiIiIiIiIruRJAnz5s1Le4yhOuOIQnVFRUVwOBxZj2+HprpkMilcQMSmOn2cO3cu7eNmNZn5/X589rOfHfHH52NTnWiRmx5ETXUM1VmTKFTX398PRVFMng0RjUam86dcheoAa53XZSsfQ3WAOIxm1VAdm+qMJwrVBYNBJBIJk2dDdsSmOmu4ePHiqK71GKrLjXwP1Yk28WGojozCUB0RERGRxTQ1NQEASotcAICzH+6GqiR1GVtVkjh7eDcAoMzrGvZ8RGSMSCQytJAollABAL5qfd/4L60ZP2z8/v5+Qxc0EBERERERERHZxfz589M+zlCdcUQL4fRqaBPtUm+lxdeZWl8YqtNHrpvqAOCee+4Z8cfaNVSXi6a6UCgkDOeaFZqk0RGF6oDUQnoisi7ROYssy4YvWs4UkrBaA3E2AoFA2sf9fr+p89CbKIwmCq/lUjweF27IwKY6/YiuHQBrXD+Q9eV7U51dNsYebTj69OnTCIVCBs2GRAo1VGfm10eFhaE6IiIiIotZsmQJAKDc64LTISM+EBoKwmXr7OHdiIdDcDpklF0O7Q0+HxEZI5n8OBSrXr5J5nC5dX2OwfHUK27Ccbc3IiIiIiIiIiJxqO7YsWPo6ekxeTaFQRSGMTpUZ6XF15kWlDFUp49cN9UBwJe+9KURf6ydFoJeKRdNdaKWOoBNdVaVKVTX19dn4kyIaLQytQJJkmToc2d6bbTSeV222FSXe2fOnBGGWdhUpx9RUx0AXnvTiORzU92Vm3Fb3alTp0b9OR9++KEBM6FMrBCqczqdcDqdaY9lG6oTfX1sqiOjMFRHREREZDGNjY2YOXMmJAmoKU0FZTr/8DZi/dm96RTr70Nn81sAgJpSDyQJmDVrFiZNmpT1nIlI7MobCPLlN5+URFzX5xgcT77izS2Xy6Xrc9idpmkIh8MIBoMIh8O22QWMiIiIiIiIiLIjCtUBwK5du0ycSeEQLRTTayGcaBwrNdVlCtXpFS40g5VDdVZoqrvuuutwyy23jOhj//jHP2Lz5s2Ix/W9N2y0TAvWjGqqE/1sATbVWRVDdUT2JQowmBEGz3RuaKXzumwkEgnhuTFDdebJ1J7Hpjr9ZGqqY6iORiKfm+qAVFudHYj+jk+YMEEY2Dp8+LCRU6I0RKG1TO1xRhA9H5vqyG7Sx0OJiIiIKKfuvfdeHDx4EDW+IgTCCUSiYex/5xXMveeRMTVcKYk49r/zCpKxCLxuB2p8nqHnISJjeb1e+Hw+9Pf3w+OSEYkr6O85g2K/eKe20QpdSO3c63Gl9k3x+Xy8kQCgq6sLzc3N6OzsxNGjR4e9aeXz+TB58mQ0NTVh6dKlDBgTERERERER5anx48dj/PjxaZuP2tracMcdd+RgVvktV011Vlp8nWkHejbVZU9VVeGCRLNDV1/60pewc+fOa35cR0cH7r//ftTV1eGxxx7D6tWrbbExmtstfk/K7KY6v99v+gJBGhmG6ojsK5etQJmeI1+a6jL9DbR7qE7U8HbhwgVEIhFLvWaLAiJlZWUoKyszeTb5y+12o6ysDMFg8KpjDNXRSORzUx2QCtVNmTLFxNmMjehvZkNDA6qqqrBv376rjjFUZz4rNNUBqTVx6TaWYlMd2Q2b6oiIiIgsaP78+ViyZAkkCWioLIZDlhA4cwztb/5s1I11sf4+tL/5MwTOHINDltBQWQxJApYuXYp58+YZ9BUQ0SBJkjB58mQAgNflAAAEznTp+hx9Z7uGjT9lyhRIV7TWFZq2tjY88cQT+MY3voHNmzdj3759Vy1k6u/vx759+7B582asWrUKTzzxBHenJyIiIiIiIspTora6trY2k2dSGEQL4YwO1Vlp8XWmpjo7LQisrKxM+/jFixehaZrJsxn+/MlkMu0xM0N1HR0d+OUvfzmqz+nu7sbatWuxcOFCdHR0GDQz/UiSJFy0ZlRTnShUN378eEOej7LncrmE4QmG6oisTbQpgRnnK263Gw6HI+0xK53XZePSpUvCY36/37yJGCBTw9upU6dMnMm1iZrqRMFAGrvq6vQbCzNURyORD011Pp9PeF5s96a6iRMnYtq0aWmPMVRnPiuF6tJhUx3ZDUN1RERERBb16KOPorKyEkUuB66vLhkK1rVseh6nD+6AqqR/w3iQqiRx+uAOtGx6fihQd311CYpcDlRWVuKRRx4x6SshoqamJgBAaVFq5+GzH+6+5r/hkVKVJM4e3g0AKPO6hj1foQmFQvjRj36E733vezh48CA0DQiEEzjZG0ZndwgfnOrDvpMBfHCqD53dIZzsDSMQTkDTgIMHD2LdunX48Y9/nHHRExERERERERHZT6ZQXS6DQfnK6KY60SJvKzXVie4v+Xw+yLJ9lmmImupisVhOv9/nzp0THquvrzdlDi0tLVi0aNGYg3Ht7e1YtGgRWlpadJ6Z/kSL1owK1Z09ezbt4wzVWZuorY6hOiJry2UrkCRJttgsIRuZQnV2b6qbMGGC8JgokJErmQIipC9RqC7XTddkD/nQVCdJkvCalKE60lO+h+rYVEdms8/dWiIiIqICU1painXr1sHn86HE48SUWh+8bgeSsQg6fvMq/vDzv0Fn81vo/mg/woEexAaCCAd60P3RfnQ2v4U//Pxv0PGbV5GMReB1OzClNjWOz+fDunXrUFpamusvkahgLFmyBABQ7nXB6ZARHwgNBeGydfbwbsTDITgdMsouh/YGn6+QdHV1YdWqVWhuboamAedDUXScDeL4xQH0DsQRiStQLy+SUzUNkbiC3oE4jl8cQMfZIM6HotA04L333sOqVavQ1dWV2y+IiIiIiIiIiHQjCtWdO3cOp0+fNnk2+U8UqtNrIZxo8XU4HLZMSDJTqM5ORKE6ILcLY0WhK0mSUFtba/jzd3R0YNmyZQgGg1mNEwwGsWzZMss31okWrYkWuWVL1FRnZgshjR5DdUT2lOsAgx02S8iGKFTncDhsv16juLhYeK4oaobLFTbVmUf0O8GmOhqJfGiqA4C6urq0j2faHMZKRG2jmUJ1H330kbBNnoyR76E6NtWR2Zy5ngCR1WmahkgkgmQyCafTCa/XC0mScj0tIlPx3wFR7jQ2NuKZZ57B008/jd7eXkytLcWF/hguhGKIh0M43v77jJ/v/P+zd+/xUZ2HmfifMzdppNEVXUCShYiELAtsE5AaIGvJuTgxOA71YpOuaxrX3i7elLTBJbbJulaUtEt9qdn9rZJCU9utSbcbY5xgt2DHbWLkFNsVyAEjWchgBBYCISGEZjSa+/n9ISQjNO9Bmjm3mXm+n08+sc6R3vNKSHN9n/exWlCYlYZCVxokCcjPz0dzczMqKip0mT8RjauoqMCiRYvQ0dGBwiwHzg770P32ayiYX4M0V/Q3mmfC77mE7tZXAQCFWeN/54sXL8b8+fPVmnpC6OnpwZYtW+DxeOALhnF6yIuxQBgA4MjIwryaZcgtqYCroARWuwPhYACewT4M9/VMhhLPDvsw7A2iPD8DQ0ND2LJlC7Zu3crbSyIiIiIiIqIkUFdXJzzX1tam2LJAs6d1U51oQZ0sy/D5fMIFPXoS/QwSbfH0tUJ1Ri1EFi1GLCgogN1u1/TawWAQ9913X9yBugkjIyNYv3493n33Xc3nHitRqE6rpjpRqI5NdebGUB1RYhKF6vQKMIhCdcnSVDc8PBz1eG5ublKsuyovL4+60QKb6lKXqKmOoTq6llAohEAgEPVcIjXVAeJQXSI01UUiEcVQ3YIFC6KeCwQC6OnpQVVVlZbToyskc6hu4vW9aNhUR1phqI4oip6eHrS2tqK7uxsnTpyY8qaHy+VCZWUlqqur0djYmHILlil18O+AyDwqKirQ0tKCHTt2YP/+/Si6HJIb8QUxMhbEWDAMfzCCiCzDIklIs1vgtFuR7bQjO92OiddiGxsbsWHDhoR7054oWaxdu3Y8VOdKx7A3iDGfF0f2voild22A1e6Y9XjhYABH9r442UZZ6EqbvE4qcbvdaGpqgsfjwag/hJODowhHZNjSM1B9y52YV7MMFuv0p74ZuQUoqroJVZ9fjbNdh9D99msY83lx/LwHCwoyAXjQ1NSElpYW3m4SERERERERJbj8/HxUVlbixIkT0861tbXhrrvuMmBWyUu0CFqtUJ3Sgjqv12uKUJ2oqS7RXmfKy8sTnjNjU50eTWbbtm3D+++/r+qY7e3t2LZtGx555BFVx1WLaFGeVk11on9fhurMjaE6osRkdFOdKLyXLKE6UVNdbm6uvhPRyHXXXRf1cZHZQnVsqtMPQ3UUK6WG0mRpqkuEUN3AwIAw3FhWVobq6mrh13Z1dTFUpyNRaE3v18S0CNUFg0HhOTbVkVYYqiO6QltbG3bv3o2Ojg7h53g8Hhw+fBiHDx/Grl27sGjRItx9992KO1wSJRL+HRCZU1ZWFjZv3ozGxka88sorOHr0KHKcduQ4r71r6eLFi7F27Vr+jRIZrL6+Hg0NDWhtbUV5fgaOn/dguO8k2n++Azet/oNZNdb5PZdwZO+LGO47CatFQnl+BiRpPDyban/r27dvx9DQEHzB8GSgLrdkwYx/pharDaWLPoeC+TWTP9OTg6OoKnJhaGgIO3bswObNm3X4ToiIiIiIiIhIS/X19cJQHalL1NKm1uJspQV1Xq9XsV1NL6JQnVrBQr3YbDbk5uZGbVkZGhrSf0KXiZrq5s6dq+l1A4EAnn32WU3G3rZtG77zne/A4Zj9Bmxa07OpTpZlYVOdHqFJih1DdUSJSRRi0CtUl+xNdaJQndLGBYlE1PRmplCd2+0WNgayqU59DNVRrBiqMwel2+/rrrsOGRkZmD9/Pk6dOjXtfFdXF772ta9pOT26QjI31Slt4MOmOtIKQ3VEGH/ytH37drS2tgL4tDrU5/MhGAwiFApBlmVIkgSbzQa73Y709HSkp6ejo6MDHR0dbP+hhMe/A6LEUF9fj/r6epw6dWqyTfL48ePT2iSrqqpQXV2NhoYGtkkSmchDDz2Eo0ePYmhoCAsKMnFycBTDfSdxYOdTqG74urBVbUIkHBpvVWt9FSH/GKwWCQsKMpFutyI/Px8bNmzQ8bsxXltbG1pbWyHLwOkh72SgLpb2vzRXDpbetQHtP9+B4b6TOD3kxcKiLOzfvx+NjY2or6/X6LsgIiIiIiIiIj3U19fj//2//zft+MGDByff/yB1iEJ1agXKlBbUmWUBdrI01QHAnDlzoi5ETsWmuj179mi2EPLcuXPYs2cP7rnnHk3Gj4doUZ4WoTq32y38O2ZTnbkxVEeUmIxuqhNdRylckUiSPVQnanoTNcMZQSkgwqY69TFUR7FSei6v132SWhI5VNfb2xv1uN1uR1FREQCgpqZGGKoj/SRzqE7ptQY21ZFWGKqjlNfT04OmpiYMDQ1BlmV4PB6Mjo4iHA5P+1xZlhEMBhEMBuH1emG1WpGZmQmXy4X9+/fjgw8+QHNzMyoqKvT/RojiwL8DosQzf/58rF+/HsCnIdhgMDgZeOUCECJzysrKQnNzM7Zs2QLAg6oiF04PeTHmH0Pnmz/D8X/fi3k1y5AzrwJZhSWw2h0IBwNwD/Th0tkenO06hIB3fEGO02FFeX4G0u1WuFwuNDc3J+SinHjs3r0bADDg8WEsEIYtPQM3rf6DWQfqJljtDty0+g9wYOdTGPOPYcDjR1FWGl555RWG6oiIiIiIiIgSnOi5/fDwMI4fP46FCxfqPKPkJVoMp1aoTmlBnVkWYIuChYn4+t2cOXOitjwaGaozqqnu9ddf13x8M4bqRDvBK+0eHytRYBJgqM7sGKojSkxmDdWZZaOEeIka0nJzc3Wdh1YSoalOaS6lpaU6ziQ1iFrDjXzuQImBTXXmILrNLCsrg8ViATAeqnvjjTemfQ5DdfpK5lAdm+rICAzVUUrr6enBli1b4PF4EAwGcfHiRQSDQQDjD8Rqa2tRWlqKgoICOBwOBAIBDA4O4syZM+js7ITX68XIyAjGxsaQl5eHoaEhbNmyBVu3bmWgiBIG/w6IEp8kSXA6ncInKURkLhUVFdi6detkoH1hURYGPH4MuP0IeN041f6W4tfbrBYUZqWh0JUGSQLy8/NTMtDe09ODjo4OyDIw4A4AAKpvuRNpruhv3M9UmisH1Q1fR+ebP8OA249CVxqOHj2KU6dOsfmTiIiIiIiIKIEtXboUFosFkUhk2rm2tjaG6lRkZFOdWUJ1ydZUF00qNtUdPHhQ0/EPHTqk6fix0rOprq+vT3hO639fig9DdUSJSRRe0yvAILpOsoTqkr2pThSqc7vduHTpkvC+QU+igMjcuXO5MF8DoqY6t9sNv9/PnzkJpUJT3ejoKEZHR039/SiF6ibU1NRE/RyG6vQTCoWiFqYAyRGqY1MdGcFi9ASIjOJ2u9HU1ASPx4NAIICBgQEEg0Gkp6fjq1/9KjZs2IBbb70VCxcuRF5eHjIzM5GXl4eFCxfi1ltvxYYNG/DVr34V6enpCAaDGBgYQCAQgMfjQVNTk/CNEiIz4d8BERGRMSoqKtDS0oLGxkZIElCUlYbaedmoKMhEfqYDTocVlsuNkxZJgtNhRX6mAxUFmaidl42irPFAXWNjI1paWlIuUAcAra2tAIBLY0GEwhE4MrMwr2aZKmPPq1kGR0YWQuEIRnzBKdcjIiIiIiIiosSUmZmJ2traqOfa2tp0nk1yE4Xq1Fo4ZrfbYbVao54zywJs0XtkagUL9WTGUJ1RTXXd3d0JPX6s9GyqE4Xq8vLyuHjO5BiqI0pMZm2qM8tGCfFK9lBdeXm58Nzp06d1nImYaB6iQCDFRxSqA9hWR8qUbvcT7XmAKFQHmL+tThSqu/I2UxSqu3DhAgYHBzWZF02l9Fw8GUJ1bKojIzBURylr+/btGBoaQjAYxODgIGRZRmlpKe6//37ceOONwjdiJlitVtx44424//77UVpaClmWMTg4iGAwiKGhIezYsUOn74Qodvw7ICIiMk5WVhY2b96MJ554AosXL4YkATlOO67Lz0B1cRZuLMvBzdfl4sayHFQXZ+G6/AzkOO2QJGDx4sVoamrC5s2bE3J3azVMLDBxXw69zbt+GSxWdcrYLVbbZEBvZCw45XpERERERERElLjq6+ujHmeoTl1aN9VJkmT6Bdiin0EivpZntlCd1+vFyMhI1HNaN5lp0cx2JS1CamoQLVrT4uchaiEsKSlR/VqkLobqiBKT6LGT0aE6s2yUEK9kD9WVlJTAYom+BFkUzNCbaB5KgUCKnVKojmEbUqLUnCq6nTGrVA3VAcCxY8dUnxNNpxRYS4ZQHZvqyAiJdU9DpJK2tja0trZClmVcvHhxMkh09913z/rNHJfLhbvvvnsyUDQx3v79+/kGHJka/w6IiIjMob6+Hlu3bkVLSwvWrVuHJUuWTLsvdrlcWLJkCdatW4eWlhZs3boVdXV1Bs3YeLIs48SJEwCAsWAYAJBbUqHqNXLmVUwZ//jx45BlWdVrEBEREREREZG+RKG69vZ2hEIhnWeTnAKBgPBnqWZLW0ZGRtTjZgnViZrqGKqLn6ilDtC+qU7rHdHNujhMNC89m+q0DkxS/BiqI0pMZm2qS5ZQ3fDwcNTjubm5us5DKzabTXgfbZZQHZvq9JWfny88x1AdKRE9lxc99zez7Oxs4XNHs4fqent7ox6/8jazuLhY+Ni/q6tLk3nRVErPxUUhN62wqY6ShTrb+BMlmN27dwMY3yEwGAwiPT0dd955J+x2e0zj2e123HnnnXjhhRfg9/sxOjoKl8uFV155RfjmHJHR+HdARERkLvPnz8f69esBjIfGfD4fgsEg7HY70tPTIUmSwTM0j7Gxscndvv3BCADAVaDuTsVZhSVTxvd4PPD5fLq/AEVERERERERE6hG9XzE2NobOzk7cdNNNOs8o+Yga2gB9QnVmWYDNUJ12RE1mgPbBq+rqahw5ckTT8c1Iz6Y6UaiOTXXmJ1pY63a7EQ6HYbVadZ4REc2E0aE6sz+mi1eyN9UB441vZ86cmXZcFGbT20xal0g9drsdubm5UQOlDNWREqPvj9QkSRKKi4uj3g6aOVQXDoej3p4DU28zJUlCTU0N3nvvvWmfx1CdPpRCZ8neVOdwOGIel0gJm+oo5fT09KCjowOyLE8+EGtsbIz7TRyXy4Vbb70VwPibRbIs4+jRozh16lS8UyZSHf8OiIiIzE2SJDidTmRnZ8PpdDJQd5UrdzuPXG6Ps9rVfeFkYrzIFe10wWBQ1WsQERERERERkb5uuukm4eKLtrY2nWeTnJRCdWouhhONZfamOjWDhXoxW6hO1FSXkZGh+c+3rq5O0/GXLVum6fixEi3KY6iOriQK1QHi20QiMtaVa4auplczkNkf08UjEokIm+qSKVQnCqeZoalOlmXhPMrLy3WeTeow2/MHSgzJ1FQHjLe5RWPmUF1/f/+UtThXKisrm/JxTU1N1M9jqE4fyR6qE31/aWlpXD9HmmGojlJOa2srgPEb3XA4jMzMTNTW1qoydm1tLTIyMhAOhydv1CeuR2Qm/DsgIiKiRGazfVq6brn8gkk4GFD1GhPjWa54QSbWRl8iIiIiIiIiMgeHw4Gbb7456jmG6tSh1CqiR1OdWRZgi8KFydRUNzw8jHA4rPNsxE118+bN03xx1e23357Q48dK1FSntJAvVkr/vmRuSqG6S5cu6TgTIpopv9+PSCQS9ZxezUCi6yRDU53b7YZ8xeadV2KoTh+Dg4PCxytsqtNOQUFB1ONsqiMlydRUByRmqE7pdvvq20yG6oyV7KE60QY+otcmiNTAUB2lnO7ubgCf3qnccMMNsFqtqoxttVong0kT409cj8hM+HdAREREiczpdE4uwkqzjz+t9QxG38E4Vu6Bvinju1wu3V98IiIiIiIiIiL11dfXRz3OUJ06lJrq9AjVmWEBdiQSEc4jmUJ1sizj4sWLOs9G3FQ3d+5cza+9Zs0a4eLIeM2dOxdr1qzRZOx4iRauqd1UJ8sym+oSGEN1RIlHaTMChurip/Q4KTc3V7+JaEzU+Hb69GmdZzK7ObCpTjsM1VEs2FRnvN7e3qjH09PTp/1di0J1H3/8sSaN5jRVqobquGaLtMRQHaUUWZZx4sQJAEAwGAQAlJaWqnqNiRdzJ8Y/fvy4cNcZIiPw74CIiIgSnSRJqKysBAA47eMbAwz39ah6jUtne6aMX1VVpflO10REZiHLMrxeL0ZGRuD1evl8joiIiIiSiihUd+TIEU1al1KNUqhOzcVwogXYZmiq0ytYqBdRqA4ALly4oONMxhnZZOZwOPDwww9rMvamTZvgcDg0GTteooVrat9mTrwOEQ1DdebHUB1R4lEKrukVqjPzRgnxUgrVpUJTXW9vr7AJUS+i1iW73a7ZRgnEUB3Fhk11xhPdZpaVlU1bKyMK1UUiERw/flz1udFUosCa1WqFzWbTdS5ahOpErzWwqY60pO9fDpHBxsbGJt/ECIVCAMQP4mNVWFg4ZXyPxwOfzye84yDSG/8OiIiIKBlUV1fj8OHDyEq3Y2g0gLPHDqHq86thscb/NDcSDuFs1yEAQLbTPnk9IqJk1tPTg9bWVnR3d+PEiRNTFoG6XC5UVlaiuroajY2NmD9/voEzJSIiIiKKjyhUFwqFcPjwYXzuc5/TeUbJRRQoy8jIgMWi3p6/Zl6ArRSqS6amOsCYUJ2RTXXAePjtZz/7Gdrb21Ubc+nSpdi0aZNq46lNr6Y6UWASYKguETgcDqSnp0ddAMlQHZE5mSFUp7RRgizLCb3hZao01YlCdYFAAAMDA4aG10RNdWVlZao+N6GpGKqjWLCpznhKobqrVVZWwmazTa4PvlJXVxcWLVqk+vzoU6LQmRHrs9lUR8mCoTpKKVfegU/ssq72bm8T4125i3swGGSYiEyDfwdERESUDBoaGrBr1y7kOO2wWS0IjLpxtusQShfFv/DtbNchBLxu2KwWZKfbJ69HRJSM2trasHv3bnR0dAg/x+Px4PDhwzh8+DB27dqFRYsW4e6770ZdXZ2OMyUiIqJEEwwGcezYMXR0dKC/vx9utxsulwtz5szBTTfdhMWLF3MRGxmipqYGmZmZURcRt7W1MVQXJ9HibLUb2szcVOd2u4XnEjFUl5GRgbS0tKiLmlKtqQ4YbzbZuXMnVqxYgZGRkbjHy8nJwc6dO2G321WYnTZEC9fUDtX19fUJz+kVmqT45OTkMFRHlECUQnV6hRhEj+nC4TACgUBCN5IMDw9HPZ6dnQ2r1arvZDQkCtUB4wENI0N1ooCI0pwpfgzVUSwYqjPebG4z7XY7KisrcezYsWnnurq6VJ8bTSUK1RkROhOtCQ+FQgiFQjE157GpjozAUB2llCtvnCVJgizLCAQCqu6uEwgEJsefYOYXwCn18O+AiIiIkkFFRQUWLVqEjo4OFGY5cHbYh+63X0PB/BqkuXJiHtfvuYTu1lcBAIVZaZAkYPHixWxlIqKk43a7sX37drS2to4fkGWER0YQcbsRGRuD7PdP7gQspaXB4nTCkpUFa3Y2Ojo60NHRgcbGRmzYsCEhF4USERElsu9///tobm6O+eu/+c1v4u///u/Vm9AVTp48iZdffhlvvvkmfvOb3yjuSJuTk4P77rsPf/qnf4qFCxdqMh+iaKxWK5YtW/bpY+ErtLW1GTCj5CJqaVM7VCdaWMdQnfokScKcOXOiBp5SsakOAGpra7Fv3z6sWrUqrmBdTk4O9u7di9raWhVnpz7RwjXRQrdYiUJ1+fn53JE+QeTk5ERdKMxQHZE5maGpTiksMTo6mtCLp0VNdcnUUgcAhYWFwg0YTp8+bejmfKKASHl5uc4zSS2ipmsjnjtQ4hDdJ+l1f6Q2UahuZGQEPp/PlM9vZhtErqmpYajOIIkQqgPG2+pieR2MTXVkBG7/SCnF6XROvmEzESxSeweMgYGBKeO7XC7ekJOp8O+AiIiIksXatWsBAIWudDgdVoR8XhzZ+yLCwUBM44WDARzZ+yJC/jE4HVYUutKmXIeIKFn09PRg48aN44uIZRmhgQH4uroQOHUaoaGLiIz5IEdkQAbkiIzImA+hoYsInDoNX1cXQgMDgCxj//792LhxI3p6eoz+loiIiMhgfr8fy5cvx2c+8xk88sgjePPNNxUDdcD44uof/ehHWLx4MZ555hnIsqzTbImA+vr6qMcZqoufKFSn9kI40QJspcXhelEK1SXqgsD8/Pyox/VeGBsOh4U7++vVVDdh5cqVeOedd7B06dKYvn7p0qU4cOAAVq5cqfLM1KdXU52ohbCkpETV65B2cnKib3jHUB2ROYk2I7Db7bptnK302MgMj+viIQrV5eXl6TwTbVksFpSVlUU9Jwpo6OX06dNRj7OpTltsqqNYpEpTHWDetrre3t6ox5VCddEwVKe9RArVxYJNdWQEhuoopUiShMrKSgCftmadOXNG1WtM7J42MX5VVdWUti4io/HvgIiIiJJFfX09GhoaIElAeX4GrBYJw30n0f7zHfB7Zvcmvd9zCe0/34HhvpOwWiSU52dAkoDGxkZDd1AkIlJbT08PtmzZgqGhIUR8PvhPnEDw7DnIwRCy0xy4fcECbPzsZ/FXDQ3Y9sUv4q8aGrDxs5/F7QsWIDvNATkYQvDsOfhPnEDE58PQ0BC2bNnCYB0REVGKCwaDeO+996KeS09Px4IFC1BfX4/a2lo4HI4p5wOBAL773e9i48aNekyVCIA4VNfV1aUYiKJrEy1+VrupTrQA2wxNdaJgYUZGBqxWq86zUYdZ2iYGBwcRiUSintOzqW5CbW0t3n33XTz55JOKiyavNHfuXDz55JN49913Td9QN8Hopjq9A5MUO4bqiBKLGVqBlK5lhsd18UiVUB0gDlwYHapjU50xRKG60dHRmAMWlPzMcJ+kJqXnp2YM1YVCIeHzsVhCddw8TVvJHqpjUx0ZwWb0BIj0Vl1djcOHDyM9PR1erxcffvghbrnlFlXewAiHw+js7ATw6Y13dXV13OMSqY1/B0RERJQsHnroIRw9ehRDQ0NYUJCJk4OjGO47iQM7n0J1w9cxr2YZLFbxU99IOISzXYfQ3foqQv4xWC0SFhRkIt1uRX5+PjZs2KDjd0NEpC23242mpiZ4PB5EvF4ETp6EHI4g027HuprrsbKkFDbLVXtwpaWhODMTy+bOxdrqahzoO4OXuo5h1DuGwIkTcCxYAA+ApqYmtLS0ICsry5DvjYiIKJU988wzuPnmm2f8+Xq0vSxYsADf/OY3cdttt6G+vn5Ky8HY2Bh2796Nxx9/HKdOnZo8/uMf/xg33HADw3WkC1GoTpZlHDp0CLfeequ+E0oiokCZ2qE60W71Zlh8LQpmJvLzJbOE6kRNZoBxwSu73Y5HHnkE3/nOd7Bnzx68/vrrOHToELq7u+Hz+ZCeno7q6mosW7YMt99+O9asWTMtYG52olCd2k11okWcbKpLHAzVESUWMwQYkrmpbnh4OOrx3NxcXeehB1FITdQUp4dYAiKkDlGoDhh//iBqNqTUlmxNdbm5uXA4HAgEAtPOmTFUd/bsWeEGNqK/WVGozuPxoK+vD6WlparNj6YShdWSJVTHpjoyAkN1lHIaGhqwa9cupKenw2q1YnR0FJ2dnbjxxhvjHruzsxNerxdWq3XyzqmhoSHucc1KlmWMjY0hFArBZrPB6XSyjSxB8O+AiIiIkkVWVhaam5uxZcsWAB5UFblwesiLMf8YOt/8GY7/+17Mq1mGnHkVyCosgdXuQDgYgHugD5fO9uBs1yEEvOMLnZwOK8rzM5But8LlcqG5uTmhFzsREV1t+/btkw11E4G6hXl5+NaSJcidwYvsNosFDWXX4aaCQvz4t7/FRxcvInDyJByVlRgaGsKOHTuwefNmHb4TIiIiutKyZctMEwD6/Oc/jyeeeAK33Xab8P0Cp9OJ++67D3fccQe++tWvoq2tbfLcn//5n+Pee+9Ffn6+XlOmFLVgwQLMmTMnaiCora3NNH9TiUgUqlN7cbZoYZ0ZFl+LQnVqBwv1JArVDQ0N6TqPc+fORT1usVhQWFio61yu5nA4cM899+Cee+4xdB5aEC3MU7upThSaZKgucTBUR5RYRI+b9AwwKF3LDI/r4sGmOmOb6vr6+oQBEYbqtKUUqhscHGSojqIyQ9BbTZIkoaioCL29vdPOiZ7XGknp9lp0m3n99dcLv6arq4uhOg2JnosrBdy0wqY6ShYM1VHKqaiowKJFi9DR0YHMzEyMjIxg//79WLBgQVxvZHg8Hrz11lsAxt8QkSQJixcvxvz581WauTn09PSgtbUV3d3dOHHixJQ3xlwuFyorK1FdXY3Gxsak+96TCf8OiIiIKJlUVFRg69ataGpqwtDQEBYWZWHA48eA24+A141T7W8pfr3NakFhVhoKXWmQJCA/Px/Nzc2oqKjQZf5ERHpoa2tDa2srIMsI9vZOBur+rL4eabNsLc9NT8ef1dfjr9va8NHFiwj29iKtshL79+9HY2OjsPWDiIiIkpfD4cA///M/44477pjx1+Tl5eEXv/gFqqurJxfODA8PY/fu3fijP/ojraZKBGB8cVNdXR3eeOONaeeuDHrS7OnVVCdaWMemOm2YvamuqKgI1lk+t6WZM7qpzqgWQpo9huqIEosZAgwOhwM2mw2hUGjaOTM8rosHQ3XGhuqUWvJEzXqkjry8PEiSBFmWp53T+/kDJY5ka6oDgOLi4qihOjM21UWbJzD+8xfdb+Xl5aG4uDjq99PV1YUvfelLqs6RPiUK1bGpjih2FqMnQGSEtWvXAhh/88Zut8Pn8+G1115DMBiMabxgMIjXXnsNfr8fdrt98sWFieskg7a2Njz22GP49re/jV27duHw4cPT3hTzeDw4fPgwdu3ahY0bN+Kxxx7DwYMHDZoxXQv/DoiIiCiZVFRUoKWlBY2NjZAkoCgrDbXzslFRkIn8TAecDissl1sSLJIEp8OK/EwHKgoyUTsvG0VZ44G6xsZGtLS0MFBHREln9+7dAIDQ4CAi3jFk2u341pIlsw7UTUizWvGtJUuQYbch4h1DaHAQAPDKK6+oNmciIiJKHA6HY1aBugklJSX45je/OeVYtJATkRZEm0EwVBcf0eJstUN1ooV1Zlh8LQoWMlQXP9GO/nPnztV1HqlGtDAvFAohHA6rcg1ZloWhOjbVJQ6G6ogSi+hxk96tQKLrsakucYhCan19fTGvQ4uXKNDncrmE91ekDpvNhtzc3KjnBi+/l0R0NTMEvdVWXFwc9bgZQ3Wi28zrrrsO0uV1NtHU1NREPd7V1aXKvCg6M4Xq0tLShL8jbKqjRMJQHaWk+vp6NDQ0QJKkyZ0xzpw5g5dffln4JoeIx+PByy+/jDNnzkwZr7GxEXV1dRp9B/pxu914+umn8YMf/AAdHR2QZRljY2O4ePEizp8/j76+Ppw5cwZ9fX04f/48Ll68iLGxMciyjI6ODjQ3N+OZZ54R7shIxuHfARERESWbrKwsbN68GU888QQWL14MSQJynHZcl5+B6uIs3FiWg5uvy8WNZTmoLs7CdfkZyHHaIUnA4sWL0dTUhM2bNyf0Aiciomh6enrQ0dEByPJk+G1dzfXIjfOF59z0dHzj8pslocFBQJZx9OhRnDp1Ku45ExERUeq45ZZbpnystJs8kZpEobqenh4MDAzoPJvkoVdTnShUZ4bF12yq046oqY5NZtpS2g1erba6kZER4YI7huoSB0N1RInFLAGGZA3VDQ8PRz0uChslMlFTnVJoXmui1xbKy8sVAyKkjoKCgqjHGaojkWRtqosm0UJ1ShiqM4aZQnWSJAmvy6Y6SiQM1VHKeuihh5Cfnw+73Y6CgoLJQNELL7yADz744Jo7qoXDYXzwwQd44YUXJoNEBQUFsNvtyM/Px4YNG3T6TrTT09ODjRs3orW1FbIsw+12o7+/H0NDQ/B6vQgGg5M13bIsIxgMwuv1YmhoCP39/XC73ZBlGfv378fGjRvR09Nj7DdE0/DvgIiIiJJRfX09tm7dipaWFqxbtw5LliyZtnDL5XJhyZIlWLduHVpaWrB161ZuBkBESau1tRUAEB4ZgRwMISctDStLSlUZe2VJKbLTHJCDIYRHRqZcj4iIiGgmrt6ln4uuSS+iUB0AHDx4UMeZJBdRqE7txdmi8Xw+HyKRiKrXmi1RqE7tYKGezBKqY1OdMfQI1SktuGdoMnEwVEeUWMwSqjPzZgnxSKWmOqXQhSioobVYAyKkDobqaDZkWTZNe6qakiFUV1ZWpvh1DNUZw0yhOgBwOp1Rj7OpjhKJzegJEBklKysLzc3N2LJlCzweDwoLC3Hx4kX4/X688cYbePvtt1FbW4uSkhIUFhbC4XAgEAhgYGAAfX196OzsnHwgZ7fbkZeXB7vdDpfLhebm5oTeaRAYD9RN/GyCwSAuXrw4WceekZGB2tpalJaWoqCgYPJnMzg4iDNnzkz+bCZ2k8vLy8PQ0BC2bNmCrVu3oqKiwthvjibx74CIiIiS2fz587F+/XoA4y/E+nw+BINB2O12pKencxdCIkoZ3d3dAIDI5YWdK0pKYLOos9eWzWLBypJSvH7yJCJuN6w5OZPXIyIiIpqJM2fOTPlYFNwgUtu8efNQWlo67XcQANra2rBq1SoDZpX4jG6qA8YX7Ri58E70M0jk981Et80+nw9er1e39gA21RlDaeGaaDHfbDFUlxwYqqOrBQIB7NmzB6+//joOHjyI7u5u+P1+pKWlobq6GnV1dbj99tuxZs0aOBwOo6ebckShNb1bgUSP20QBi0Qgy3JKhepycnKQnZ2Nkcsb713JqDZ6paY60h5DdTQbPp9vstzjamyq04faTXW9vb1wu90J/TqImYnCaskSqmNTHRmBoTpKaRUVFdi6dSuampowNDSEwsJCjI6OwuPxwOv1XnMXSqvVCpfLhczMTEiShPz8fDQ3Nyd8aMztdqOpqQkej2cyLCfLMtLT09HY2Ija2lpYrdYpX5OZmYm8vDwsXLgQt9xyCzo7O7F//374fD4MDAygoKAAHo8HTU1NaGlp4YMlE+HfAREREaUCSZLgdDqFL+YQESUrWZZx4sQJAEDk8gvXVbm5ql6j8vJ4E+MfP34csiwzvExERKQjv9+Pjz/+GBcuXIDdbsecOXNQUlKSEAtP3n777SkfV1dXGzQTSkX19fXCUB3FRrQ4W89Q3ejoqKGhOlFTXSK/P6oUeL5w4YJu9zdsqjOGHk11osDknDlzuHAugYhCdW63G5FIBBaVNnki8wsGg9i2bRueffbZqAvHfT4fjhw5giNHjuD5559HcXExHn74YWzatAl2u92AGacmszTVia6XyE11Y2Njk5vXXy0ZQ3XAePCio6Nj2nE21aUmhupoNpRu79lUp4/e3t6ox2MN1QHjm74uW7YsrnlRdKLQmVHrodhUR8mAr1ZQyquoqEBLSwsaGxshSRJcLheKi4uRn5+PjIwM2O32yUVgkiTBbrcjIyMD+fn5KC4uhsvlgiRJaGxsREtLS1IEibZv346hoSEEg8HJQF1paSnuv/9+3HjjjdMCdVezWq248cYbcf/996O0tBSyLGNwcBDBYBBDQ0PYsWOHTt8JzRT/DoiIiIiIiJLT2NjYZEuCfPkF6DKVF3Jed3m8ifE9Ho9qO9UTERHRtf3xH/8xcnNzUVtbi1tuuQXLly/HwoULkZOTg+XLl6O5uRkDAwNGTzOqkZERvPzyy1OOrV692qDZUCqqr6+PerytrU24SzopE7W0qb0QTmk8o1tNUjFUpxc21RlDaeGaWqE6UVMd/20TiyhUJ8uy8LaRkk9nZyeWL1+ORx99dMaLxvv7+/Hoo49i+fLl6Ozs1HiGNEH0mEnvAIMonJ/IoTpRSx0A5Kq86Z1ZiIIXZgvVsalOH6LnD3o+d6DEofQcPhE2DBMRheqGh4dVex6lhkAgINzA5lqhuvLycuHzxa6urrjnRtGJ3odnUx1R7NhUR4TxNzA2b96MxsZGvPLKKzh69OiMWywWL16MtWvXoq6uToeZaq+trQ2tra2TNfQTgbq777571rtBuVwu3H333Xj55Zdx5swZXLx4EYWFhdi/fz8aGxuFb1SSMfh3QERERERElHxCodDkf08sCk6zqfuS4MR4Vy46DgaDbAclIiLSiWjRaSgUwnvvvYf33nsPTz75JDZv3oympqZrbpynp7/4i7+YEsApKCjA1772NQNnRKlG9F5Vf38/ent72WIQA1GoTs+mOrOG6tT+GehJqVFFr4WxHo9HuLieTXXaUlq4ptamOqJQXUlJiSrjkz6ys7OF5y5duiQM3VHyOHDgAFatWoWRkZGYvr69vR0rVqzAvn37sHLlSpVnR1djU512lEJ1ydxUF83p06d1nsn48wHRY1Q+x9MHm+poNlItVAcA58+fN83tUV9fn3BjqbKyMsWvtVgsuP7663H48OFp5xiq006yh+rYVEdGYKiO6Ar19fWor6/HqVOn0Nraiu7ubhw/fnzKmz8ulwtVVVWorq5GQ0MD5s+fb+CM1bd7924A429KBINBpKen484775x1oG6C3W7HnXfeiRdeeAF+vx+jo6NwuVx45ZVXGKozKf4dEBERERERJQ/bFQE6SZIgyzL8oRCg4k5u/svBvYmGcwAxv45ARERE2hgbG8MPf/hDvP3223jttddMEew4cOAAnn322SnHHn/8cdUXy5w/f37WTX3Hjx9XdQ5kXkqbBba1tZlmgVOikGVZuPhZz1Cd0QuwRcHCRG6qs9lsyM3NxfDw8LRzeoXqRC11ANvMtGZkUx1DdYlFKTR36dIlHWdCRujs7IwrUDdhZGQEq1atwjvvvIPa2lqVZkfRmD1UZ/RGCfFIxVCdqAHOiKY6pWuyqU4fDNXRbCg9h9f7PklNSqG6/v5+07zmpHSbOZM51tTUMFSns2QP1bGpjozAUB1RFPPnz8f69esBjL/54/P5EAwGYbfbkZ6ePmWRWDLp6elBR0fHlDe8Ghsb436Ty+Vy4dZbb8Ubb7wBj8eDzMxMHD16FKdOnWIYy8RS9e+AiIiIiIgomTidTrhcLng8HkhpaZDHfOh1u1Gs4ptQn1xuYZAuv5Dtcrm4UxwREZHGJEnCihUrcMcdd+B3fud3cMMNNyA/Px8WiwUXLlxAe3s7/vmf/xn/8A//MOVN6Lfeegu/93u/hz179hjaWHf+/Hn83u/9HsLh8OSx+vp6bNy4UfVr/fjHP0Zzc7Pq41JyyMvLQ1VVVdQgZVtbG/7zf/7PBswqcfn9/il/11diU11ih+oAYM6cOYaG6s6dOyc8x6Y6benRVCcKTTIwmVgYqktdwWAQ9913X9yBugkjIyNYv3493n33XW7epSFRiEHvVqBkbKqL9pgJGH+9PlkXhIuCF0aE6pTa8a7VukTqYKiOZiNZm+ry8/NhtVqjvk7S399vwIyi6+3tjXo8KytrRk3TNTU1UY8zVKedZA/ViTbvSdbHUGQOFqMnQGR2kiTB6XQiOzsbTqczqYNEra2tAMbvcMPhMDIzM1Xb9am2thYZGRkIh8OTd+gT1yPzS6W/AyIiIiIiomQiSRIqKysBAJbLL2gfF7yhH6sTl8ebGL+qqorPG4mIiDT0la98BV1dXfj3f/93fO9738OXv/xllJaWTi7OKykpwde+9jVs374dH330ET7/+c9P+fp/+Zd/wY9//GODZj/+pvhdd901ZWFdVlYW/u///b+GBv0oddXX10c93tbWpvNMEp+ooQ1Qf3d5m80Gh8MR9ZxZQ3VmaAmNx5w5c6IeN7qpLisrK6HbCxKB1WoV3kezqY6ulJ6eLrxtZqguuW3btg3vv/++qmO2t7dj27Ztqo5JU5mlqU4UmEjkUJ2oqS43N1ffiehIFKq7cOGC7o/PRUG+oqIibgioE1GobmxszPDna2Q+ott7u92e0OF6i8WCoqKiqOfMFKoT3WbOtElPFKrr7u4WbrxE8RGF1ZI9VMf7cNJSQoTqTpw4gX/6p3/C008/jb/8y7/Ej3/8Y/zqV79SbccrIhrX3d0N4NMU+w033KDaG9hWq3UyoDcx/sT1iIiIiIiIiEg71dXVAADL5VaEd/r6EIpEVBk7FIngQN+ZKeNPXI+IiIi0sXLlyhnf35aVleFf//VfsWLFiinH/+Iv/sKQRUyRSAT33XcfDhw4MHnMarXiH//xH1FVVaX7fIgAcaju4MGDiKj0uDlVKIXqtAiUmXEBdiQSEf4ckqGpLhqjm+rYUqcP0eI1NUJ1siwzVJdERG0WDNUlr0AggGeffVaTsbdt24ZAIKDJ2CTeiEDvUJ3oeokcvBGF6vLy8nSeiX7Ky8uF5/RuqxM11c00IELxE4XqALbV0XSi2/tEbqmbUFxcHPV4KoTqAoEAenp6Yp0WKRDlZ0ThNq2pHaoTfX9sqiMt2YyegJJf/OIX+OEPf4j29vao510uF+6//340NTUpPgjTi9frxU033YQTJ05MOf7Nb34Tf//3f2/MpIhmSJblyd/dYDAIACgtLVX1GhMveE+Mf/z4cciyzN3riYiIiIiIiDTU0NCAXbt2wZqdDcluwyW/Hwf6zqChLP43kA/0ncGIPwDJboM1O3vyekRERGQe6enpePHFF3HDDTcgFAoBAM6fP49f/vKX+N3f/V1d5/Ktb30LL7/88uTHkiThJz/5Ce68805Nr3nPPffM6muOHz+u+8+GjCMK1V26dAnHjx/nphGzoBRm0yJUl5mZieEoTdxGLsBWujZDdfERNdXNmzdPl+unurS0tKh/42pshn3p0iXhOPz3TTw5OTkYGBiYdpyhuuS1Z88ezRaGnzt3Dnv27Jn143maGbM01Ymul4xNdckcqisrKxOe++STT3D99dfrNpd4AyIUP9FzB2D8+YNSCJNSj1nuj7SQyKE6pdv1Kym9btbV1YXKysqY5kVioufPbKojip0pm+r8fj/uu+8+3HXXXcJAHTC+011LSwtqa2vR2tqq4wyje/zxx6cF6ogSxdjY2OSuiRNvqqsdVi0sLJwyvsfjYeMkERERERERkcYqKiqwaNEiQJJgu/xc/6WuYxiO8zn5sM+Hn3V1AcD4uJKExYsXY/78+XHPmYiIiNRVVVWFr3/961OO/fKXv9R1Dlu2bMGOHTumHPvrv/5r/OEf/qGm1y0qKsKiRYtm9T+25qWWz372s7BYor9t3tbWpvNsEptZmuqMDNW53W7hOYbq4iMK1bGpTh9aNtWJWuoANtUlIjbVpZ7XX389ocdPVZFIxPRNdYkcqou28QMA5Obm6joPPaWnp0+uDbyaWZrqGOTST15enrBogU11dDU21Rkr3iByRkaG8L3hrsvvI5O6kj1Ux6Y6MoLpQnWRSATf+MY38I//+I9TjlutVixYsABLliyZ9gLMwMAAVq1ahXfeeUfPqU7xH//xH/jf//t/G3Z9onhNBN2A8dY6AHA4HKpeY2K8ifGBT1vriIiIiIiIiEg7a9euBTAefrNkODEaDOLHv/0t/OFwTOP5w2H8+Le/hTcYgiXDORnWm7gOERERmc+XvvSlKR8fO3ZMt2v/1V/9Ff7qr/5qyrEnnngCmzZt0m0ORCKZmZnjm1BEwVDd7IhCdZIkCRfYxEO0wM7IBdhKoTotgoV6MjpUd+7cuajH2WSmD9HiNTU20VUK1TE0mXgYqks9Bw8e1HT8Q4cOaTp+qlJa5Kx3iMGMj+nilYpNdYA4tCYKuWmFTXXGs1qtyM/Pj3qOoTq6GpvqjNXb2xv1+GxuM2tqaqIeZ6hOG8kcqguFQohEIlHPsamOtGS6UN3TTz+NPXv2TDn20EMP4fTp0/j444/x/vvvY2hoCK+88sqUB+Ferxfr1q0z5EWYQCCABx98cPKPOBnuyCn12Gy2yf+e2CUkEAioeo2J8a7chcRut6t6DSIiIiIiIiKarr6+Hg0NDYAkwV5WBslqwUcXL+Kv29pm3Vg37PPhr9va8NHFi5CsFtjLygBJQmNjI+rq6jT6DoiIiCheVy+EGBgY0OW6P/rRj7Bly5Ypx/70T/8Uzc3NulyfaCbq6+ujHmeobnaUFsKJWgriIXpf3simOqW2vkRvqhMtimVTXWoQherUaKoT/dsWFBRwJ/oExFBd6unu7k7o8VOVUmDNLE11Rj6mi1eqhupEAQw9m+pkWWZTnUkUXN6M8WoM1dHV2FRnHL/fj/Pnz0c9x1CdOUUiEeHa/mQI1Slt3MPXB0hLpgrVXbhwAX/5l3855djWrVvxN3/zNygpKZk8ZrFYcNddd+HAgQOoqKiYPN7b24tnn31Wr+lO+p//83/i6NGjAIDS0lJs2LBB9zkQxcvpdE7ujjgRsFP7CczEG/QT47tcLibHiYiIiIiIiHTy0EMPIT8/H5b0dDgWLJgM1v2P37yN1t5PEBLs+jYhFImgtfcT/I/fvD0ZqHMsWABLejry8/P5mhgREZHJXb3JXTAY1PyaL774Ir797W9POfbAAw9g27Ztml+baDZEobr3338foVBI59kkLlGgTKuGNtECOyMXYLOpTjtsqjOW6H19LZvq+G+bmBiqSz1qhGuVqHE7Q9MpPV4yS6gukZvqhoeHox5nqE57Q0NDwkX8bKrTF0N1NFPJ3FQn2gTGLKE6UUsdAJSVlc14HIbq9KP02DsZQnVm/P4oNZgqVPfUU09NeZG5oaEBjz76qPDzS0tL8Xd/93dTjm3btk23F20BoKOjA1u3bp38uKWlJeF3mKPUJEkSKisrAXz6xvqZM2dUvcbEi+ET41dVVWmyKyURERERERERTZeVlYXm5ma4XC5YMjLgqKyEJcMJbzCEFz44ij9769f4WVcXDp47h/7RUQz7/egfHcXBc+fws64u/Nlbv8YLHxyFNxiCJcN5+esz4HK50NzczNfEiIiITO7qMEJhYaGm19u9ezceeOAByLI8eWzdunX4yU9+wvcGyHREobqxsTF0dHToPJvEJQrVabUQzowLsEWhOqfTObnxaKISheqGh4cRDoc1vXYoFBI2rLKpTh9aNtWJQnVXbr5NiYOhutSjdWMEF89qw0xNdaKNEkZHR6c8n0wkoqa63NxcfSeiM1ETnKg5TgtKAT421emLoTqaqVRsqrtw4YIuG55di9JtphpNdYODg/ybV5lSUE0UbtMam+ooGZgmVBeJRPDCCy9MOfb973//mm+qfelLX8Itt9wy+bHb7cZLL72kyRyvFolE8OCDD07WaN5111343d/9XV2uTaSF6upqAJ++IPXhhx+q9gZIOBxGZ2fnlPEnrkdERERERERE+qioqMDWrVsnG+vSKithnzcXkt2GEX8Ar588iR+9/z4ea23Fpl/9Co+1tuJH77+P10+exIg/AMlug33eXKRVVk421G3duhUVFRVGf2tERER0Db/5zW+mfKzlDu379u3DvffeO+U9hjvuuAM//elPYbGY5u1Jokk33ngjHA5H1HNtbW06zyZxsalOHKpL9JY6QByqk2VZ2MailvPnzwsX1bPNTB+iUIsaobqzZ89GPc5QXWJiqC71aL32h2uLtGGmUJ3oerIsJ2xToShUl8pNdXoFJEUBPpvNxs0YdGZ00zUljmRuqhOF6gAIN47Rk6ipLjc3d1avY4hCdQBw7NixWc+LxJQeG7Gpjih2pnnX6sCBA1PuID7zmc/g1ltvndHXPvjgg1M+/sUvfqHizMT+1//6X3jvvfcAANnZ2WhpadHlukRaaWhoADB+x2O1WjE6OjoZhItXZ2cnvF4vrFbr5B3bxPWIiIiIiIiISD8VFRVoaWlBY2MjIEmwFRYivaYGjvnlsOXnweJMh2SRAAmQLBIsznTY8vPgmF+O9Joa2AoLAUlCY2MjWlpaGKgjIiJKAMPDw9i9e/eUY1/60pc0udb+/fuxdu3ayU0pAeALX/gCXn75Zdjtdk2uSRQvh8OBJUuWRD3HUN3MiRbC6R2qM7KpThQsTIZmb9GiWED7hbGi0BXApjq9iHaEVyPsIGqqY2AyMTFUl3rq6uo0HX/ZsmWajp+qlB4v6d1yohSaMHKzhHgwVDfV6Oio5pswTBC1LpWWlsJqteoyBxrHpjqaqVRsqgOAc+fO6TiT6ES3mbPdjK24uFj4PKCrq2vW8yKxZA/VsamOjGKaUN2//Mu/TPn4tttuu2ZL3ZWfe6W33npL8xfKP/74Y/z5n//55Mdbt27lLlmU8CoqKrBo0SJIkjT5gsX+/fuFb/7MlMfjwVtvvQVg/E0zSZKwePFizJ8/P94pExEREREREVEMsrKysHnzZjzxxBNYvHgxIEmw5uTAXlaGtIULkb54MZw33oj0xYuRtnAh7GVlsObkAJef0zc1NWHz5s1JsTCUiIgoFWzevHnKAjaHw4FVq1apfp2DBw/izjvvnPKG+fLly/Hqq69yJ1kyPdGCcIbqZk7vpjrRAmwzNtUlw3MnI0N1osWGVqtVuFiX1CVavKZGU50oVMc1OImJobrUc/vttyf0+KlKtLZyYiN2PSmF6ozcLCFWgUBA+Hg0VUN1gLhBTm2i68w2IELxY6iOZiqZQ3Vz5syBxRI9qtHf36/zbKZTK1QnSZKwrY6hOnUle6iOTXVkFNOE6n77299O+XjlypUz/tqSkpIpO2IHAgHV2rVE/uiP/mjyjnzFihX47//9v2t6PSK9rF27FsD4m1t2ux0+nw+vvfYagsFgTOMFg0G89tpr8Pv9sNvtky+ETFyHiIiIiIiIiIxTX1+PrVu3oqWlBevWrcOSJUumLXh1uVxYsmQJ1q1bh5aWFmzdulXzHaiJiIgour/6q7/CoUOHZvz5oVAIf/Znf4bnnntuyvGHHnromu0vkiRN+d/E5nkiHR0duP3226cESpYsWYJ9+/ZpFqghUlN9fX3U4x988IEqTUypQBSqU1ooHQ/RAjszhuqS4XYwMzMTDocj6jmjmuqKi4uFCxRJXaLFa/HePsqyLPz3ZaguMTFUl3rWrFmj2MISj7lz52LNmjWajJ3qRI+XtHrcpkQpNJGIoTqlRrbc3Fzd5mGEefPmCUOZouCG2kTXKS8v1+X69CmG6mimRLf1Rtwnqc1qtaKwsDDqOTOH6srKymY9FkN1+kj2UB2b6sgoNqMnMOHDDz+c8nFtbe2svr62thY9PT1TxhO98RGvv/u7v8OvfvUrAIDdbsdPfvKTGbfqEZldfX09Ghoa0Nrairy8PAwMDODMmTN4+eWXceedd87qDR+Px4PXXnsNZ86cgSRJyMvLgyRJaGxs5OI7IiIiIiIiIhOZP38+1q9fD2B8QZvP50MwGITdbkd6ejpf+yIiIjKJ119/HVu2bMHKlSuxbt06fOlLX0JNTQ1stqlv+V26dAl79+7FU089NW1jy8rKSjzxxBOqzuvs2bP4yle+MiVUkZmZiUceeQQHDx6c9Xhf/vKX1Zwe0YyI3lsOhUL47W9/i+XLl+s8o8Sjd1OdaAG2kYuvRT+DZGiqkyQJc+bMiRqAMqqp7loBcVKPVk11w8PDwkVz/PdNTKJQ3cjICCKRCIOwScjhcODhhx/Go48+qvrYmzZtEga6KT5mCjAoXdPIzRJidfHiReG5ZG+qs9lsKCkpiRrS0CtUx6Y681AK1cmyzPedaFIyN9UB45vBRAvQmTlUF8ttJkN1+kikUJ3P55v17b3SawwM1ZGWTBGqGxsbm/ZgdrY3yFd//rFjx+KeVzRnz57Fd7/73cmPH3nkESxatEiTaxEZ5aGHHsLRo0cxNDSEgoICDA4O4syZM3jhhRdw6623ora2VrirDACEw2F0dnbirbfegt/vhyRJKCgogN1uR35+PjZs2KDjd0NEREREREREsyFJEpxOp/AFcCIiIjLegQMHcODAAQDjbyaXlZUhJycHVqsVFy5cQE9PDyKRyLSvmzt3Lvbt24c5c+aoOp9jx46hr69vyrHR0VHce++9MY0ny7Ia0yKalZqaGmRmZkZdYNzW1sZQ3QyIFmdrFaoTLcA2Y1NdMoTqABgWqhM1mc2dO1fT69KnRIvz4g3VXf344UpsqktMolCdLMvweDzIzs7WeUakh02bNuFnP/sZ2tvbVRtz6dKl2LRpk2rj0VSJEqpLxKa6VA7VAePreI0M1bGpzjxEoTq/34/R0dGkaPMmdZjpPkkLokZfM4Tqent7ox5XM1T38ccfw+/3MxClElH7myRJhm1GobSmwOfzzWrNgSg0aLfbuUELacoUv10TOw9MsNvtKCoqmtUYpaWlUz4+f/68KnO72re+9a3Jiu6FCxfi8ccf1+Q6REbKyspCc3MzXC4XHA4HCgsLYbfb4ff78cYbb2DHjh1466230N3djYsXL2J0dBQXL15Ed3c33nrrLezYsQNvvPEG/H4/7HY7CgsL4XA44HK50NzcnDRvGhERERERERERERERGc3v9+PEiRNob29HW1sbPv7446iButWrV+Pw4cNYuHChAbMkMj+r1Yply5ZFPdfW1qbzbBKTqKVNq4Vwol3rGarTjiiUzaa65CdaAKm0S/5MiAKTAEOTiUoUqgPG25QpOdntduzcuVO10GROTg527twJu92uyng0nSjAYEQrkM1mEy4CT8RQ3cTa0qvZbLakCYgoEYXXRA1yagqHwzhz5kzUc2yq05/Shk5aP3+gxJIKTXXRGB2q83q9wr9FNUN1kUgEx48fn/V4FJ3oOXh6erphDaBKoTlRCFBEtHGPUS18lDpM0VR39YvrGRkZs/7DvvoJh+gF+3i89NJL+MUvfjH58Y4dOwz9Iz1//jwGBgZm9TW8Y6KZqqiowNatW9HU1IShoSEUFhZidHQUHo8HXq8XBw8eVPx6q9UKl8uFzMxMSJKE/Px8NDc3o6KiQp9vgIiIiIiIiIiIiIgoyfyP//E/cMMNN+Dtt99GV1cXwuGw4ue7XC6sWrUKGzduRENDg06zJEpc9fX1aG1tnXacobqZEb1Hr1UDgWiBnZGLr0WhumRpYTAqVMemOuPp3VRXUFBg2C77FJ9rheoYakhetbW12LdvH1atWoWRkZGYx8nJycHevXtRW1ur4uzoamZrBcrIyEAgEJh2PBFDdaKmutzcXMMWu+tJdDuvR1Pd2bNnha+T8P5Hf6KmOmC8iGX+/Pk6zobMzGz3SWoza6hO1FIHAGVlZbMer7KyEjabDaFQaNq5rq4uLFq0aNZj0nRKoTqjqBmqE31/bDokrZkyVBfLH/bVf5Bqh+ouXLiAb3/725Mf/+Ef/iG+8IUvqHqN2frxj3+M5uZmQ+dAya2iogItLS3YsWMH9u/fPxmS8/l88Pl8CAaDCIVCkGUZkiTBZrPBbrcjPT19Suq9sbERGzZsSJodGImIiIiIiIiIiIiIjHDbbbfhtttuAzC+m3BnZyd6enpw9uxZeDweRCIR5ObmIi8vD7W1tbjxxhthtVpjupYsyzP+3FtvvXVWn09kVvX19VGPHzt2DCMjI6q1ryQr0UI4rQJlogV2RjbVidYpJMv7pGyqS11aNdWJQnUlJSVxjUvGYVNdalu5ciXeeecdrF+/Hu3t7bP++qVLl2Lnzp0M1OlA9HjJqABDZmZm1IY3Ix/XxUoUqsvLy9N5JsYwMlSn1IYnatAj7eTm5sJisSASiUw7Nzg4aMCMyKzYVGcMpdvlWEJ1drsdlZWVOHbs2LRzXV1dsx6Pokv2UB2b6sgopgjVXf0HHstuU1e/gDfbP8Jr+c53voPz588DAIqKivDMM8+oOj6RWWVlZWHz5s1obGzEK6+8gqNHj8LpdCreCU5YvHgx1q5di7q6Oh1mSkRERERERERERESUOjIyMlBXV8fX4IlUJArVybKMQ4cOGb7pqtmZpanOyMXXoqY6hupiJ8sym+pMQBSq06qpjqG6xJWeng673Y5gMDjtHEN1qaG2thbvvvsutm3bhmeffXZGC8bnzp2LTZs2YdOmTbDb7TrMkszWCiS6bjI11aVKqE4UXuvt7UUkEoHFYtHs2qKASEZGRsr8/M3EYrFgzpw5GBgYmHaOoTq6ktnuk9Rm1lCdqKluzpw5MQcar7/+eobqNJbsoTo21ZFRTBGqu/oPOVqV97Vc/UKdmjcO+/btw09/+tPJj7dt24b8/HzVxidKBPX19aivr8epU6fQ2tqK7u5uHD9+fMqbYy6XC1VVVaiurkZDQwMruomIiIiIiIiIiIiIiChhLFiwAHPmzIkaEGpra2Oo7hpEoTqtFsKJFnkFAgGEQiHYbPovhxCF6rQKFurNiFDdyMiIcFEVm+r0I1qDE29TnSgwyX/bxCVJEnJycqIulmeoLnXY7XY88sgj+M53voN169Zhz549ws/9kz/5Ezz99NMxbcJPsTNbgCGZQnXRGveA8dauVCBqqgsGg+jv79f0Pl7UVFdeXg5JkjS7LokVFBQwVEeKgsFg1M0YgORvqhscHDTstQtAHEQW3Y7PRE1NDV599dVpxxmqU0+yh+pEG/cwVEdaM0Wo7uoXkGN50e3qPzq1XpR2u9146KGHJj++/fbbce+996oydry+9a1v4Z577pnV1xw/fhy/+7u/q82EKCXMnz8f69evBzC+K6DP50MwGITdbkd6ejqfgBIREREREREREREREVFCkiQJdXV1eOONN6ada2trM2BGiUXvpjqlRd9erxfZ2dmaXFcJm+rUJwpdAWyq0xOb6mg2GKqjCQ6HQ7iQfML111/PQJ0BzBaqEwUnEjFUl+pNdUphjE8++UTTUJ0WARGKjxHPHyixKDXNJ3tTnSzLGBwcNOx5rVahumi6urogyzLXl6tAFFJL9lCdkd8fpQZThuq8Xu+sbzyvfgKl1gvzjz322OQOFhkZGfibv/kbVcZVQ1FREYqKioyeBqUwSZLgdDoV7xCJiIiIiIiIiIiIiIiIEkV9fT1DdTGQZVm46FmrUJ3SrvVGhepEwUKG6mJ37tw54Tm2melHtICNoTqKJicnJ+pxhupSk6i1a6bnSRuix21GtQKJghNKYQuzSvVQXUFBAdLT06MWa5w+fRq/8zu/o9m1RQGR8vJyza5JygoKCqIeZ1MdTVC6nU/2pjoA6O/vN12orqysLOYxRaE6j8eDvr4+lJaWxjw2jRMVVxm5jt9qtcJut0dtnZxtqE70/bGpjrRmMXoCwPgDpysDdMFgEOfPn5/VGGfOnJnysRphs5MnT04J0TU3N6OioiLucYmIiIiIiIiIiIiIiIiIyHzq6+ujHj916hQGBgZ0nk3iGBsbgyzLUc8ZEaozotVEluWUDdX5fD7NFr2Lmupyc3O5U7mORAvYRAveZkKWZeG/LwOTiY2hOrrStUJzogASaUt0v21UK5DouonYVCf6nU+VUJ0kScKWI1GAQy0T5RlXY1OdcRiqo2tRup1Plqa6wsJCYclQf3+/zrP5lBZNdddff73wXFdXV8zj0qdEz8GNfn1EFOpjUx0lClOE6pxO57TdIEQPcEWu/nxR2nk2Ll26NOWF/+9+97uQJOma/2tubp4yzj/8wz9MOZ+bmxv33IiIiIiIiIiIiIiIiIiISF2iUB3AtjolojAZoN1COKVxjWg18Xq9iEQiUc9pFSzUmyhUB2jXVidqqjNqN/9UJQrVxdNUd/HiReHXs6kusTFUR1e6VmiOTXXGEIUYjAowiDZLSMRQneh3PpXWjBoVqmNTnfkwVEfXkgpNdTabTfhc2shQXW9vb9Tj8YTq8vPzhaVIDNWpI9lDdWyqI6OYIlQHTA/BdXZ2zurrP/zwQ8XxiIiIiIiIiIiIiIiIiIiIlMybNw+lpaVRzzFUJ6a04NmIpjojQnVKwcJkb6oDtAvVscnMHEQL9OJpquvr6xOeY6gusTFUR1e6VmiOoTpjmC1Ul0xNdaJQXao01QHiQMZsizZmY2xsTNgszqY64zBUR9eSCqE6ACguLo563KhQncfjET4Gi/c2U5TfYKhOHckeqmNTHRnFNKG6JUuWTPn4wIEDM/7as2fPoqenZ/Jju92O2tpalWZGRERERERERERERERERESpQtRWx1CdmFKgTKtQnWjBDmDMAmy32y08lyyhOqXF4GyqS25aNNWJApOAeNEpJQaG6uhKbKozp0QJ1RmxUUK8GKoTN8Np2VQnalwC2FRnJIbq6FqUnrsrPedPNGYL1SndHjNUZ27JHqpjUx0ZxWb0BCZ87Wtfw5NPPjn58b/+679ClmVIknTNr/3lL3855eMvfOELqrwwX1VVhTfffHPWX/fiiy9i586dkx9/5StfwXe/+93Jj+12e9xzIyIiIiIiIiIiIiIiIiIi9dXX1+MXv/jFtONtbW0zfg871SiF6rRanG2xWOB0OqMu0DFiAXYqhOpsNhtycnKiBmOGhoY0uSab6sxBtEDP7/fHfLsoaqorLCyEw+GY9XhkHgzV0QRZltlUZ1KiEINRrUDJ0lQXiUQwMjIS9VwqhepEgQwtQ3VKLXhlZWWaXZeUiZquL1y4wOfWBED83D0jIyOpfj8SKVRXWloa19gM1WlLFFJLllAdm+rIKKYJ1a1cuRIFBQWTOxB8/PHHeOutt/CFL3zhml/73HPPTfl4zZo1qszJ5XLhy1/+8qy/7je/+c2Uj+fNmxfTOEREREREREREREREREREpC9RU9358+fxySefsOkgClGozmKxaLrwJSMjIyFCdVq19Rlhzpw5UYMxbKpLbqJd4WVZRjAYjCkEJwrVlZSUzHosMheG6miC1+tFKBRS/ByG6owheqxkVFOdKMyXaKG6S5cuQZblqOdyc3P1nYyBRKG6c+fOIRAIaBKeFwVE5syZY1hYlMRNdYFAAB6PJ2k2H6HYma05VSui569GhepE7Z5FRUVxN4KJQnW9vb1wu938u4+TqMnN6GZHNtVRorMYPYEJFosF999//5Rjzc3NwicZE/7t3/4Nb7/99uTHWVlZWLdunRZTJCIiIiIiIiIiIiIiIiKiJFdXVyc819bWpuNMEodoIZzL5dJ0d3kzLcAWBQvT0tJgt9t1no12lNomtMCmOnNQCseKdpK/Fv7bJi+G6mjCxYsXr/k5DNXpLxwOC2+7jQoxiK5rxEYJ8VD6nU+lpjrRJiSyLOPMmTOaXFPUVMcNUYwlCtUBmCxgodSm1FSXTBKlqU4Uip4NUagOALq7u+MeP9WJQmdGN7mxqY4SnWlCdQDw6KOPTtmhbf/+/XjyySeFn3/mzBn81//6X6cc+9M//VPFB2IAIEnSlP+99dZbcc2biIiIiIiIiIiIiIiIiIiSQ15eHqqqqqKeY6guOlGgTOuGNjMtwBY11SXbLux6huoCgYBwXDbV6UtpV3jRor5rYVNd8mKojibMJDA3PDx8zU33SV1Kmw+YLVSXaE11DNWNUwpliIIc8dIyIEKxY6iOriVVmupSKVRXXl4uDEB1dXXFPX6qS/ZQHZvqyCimCtUVFBTge9/73pRjW7Zswbe+9a0pL6ZFIhH84he/wMqVK9HT0zN5vKSkBH/2Z3+m13SJiIiIiIiIiIiIiIiIiCgJ1dfXRz3OUF10olCd1gvhRLvXmylUp3WwUG96huqUFhiyzUxfSgvYYm2qY6gueYlCdSMjIwxPpZiZNNWFQqGEayNLdAzVaUcUJJUkSXjbmIyysrKE369WoTo21ZlTTk4OrFZr1HMM1RHAprrz588jHA7rPBvxbXFZWVncY1utVlRXV0c9x1Bd/MwaqhNdn011lChMFaoDxtvqvva1r0059jd/8zcoLy9HZWUlli5dijlz5uCuu+6a8kDY6XTipZdeQm5urs4zJiIiIiIiIiIiIiIiIiKiZCIK1f3qV7+C0+nEzTffjAcffBC7du1CIBDQeXbmY7amOiMWYLOpTv1Q3blz54Tn2FSnL6UFbLGG6s6ePRv1OEN1iU8UpIhEIsL7C0pOM2mqA2YWviP1KD1OMirEILpuooXqRL/L2dnZsFhMt1RXU6Iwmyj8Fi821ZmTJEnCtjqG6ghgU10kEtHkufS1aH2bWVNTE/U4Q3XxM2uojk11lOhM90jdYrFg165d+L3f+70px8PhMD7++GO8//77055wz5kzB3v37sXnP/95HWdKRERERERERERERERERETJJhgMoru7W3je5/PhyJEjeP7557Fu3TqUl5fjqaeeQjAY1HGW5iJaCKd1qM5MTXWioAhDdbETha7sdjvy8/NVvx6JKS1gEy16UyLLsrCpji2EiU+pjenSpUs6zoSMNtNQ3Uw/j9Sh9DjJbE11Xq83oRouRaG6vLw8nWdiPFEwQ4umOlmWheOyqc54ej5/oMST6k11gHJDu1Z6e3ujHmeozvxEIbVkCdWxqY6MYrpQHTD+i/9P//RPePnll7FkyRLh52VmZuJb3/oWOjs7ceutt+o2PyIiIiIiMjdZluH1ejEyMpJwb7YQEREREREREZFxOjs7sXz5cmzfvn3GX9Pf349HH30Uy5cvR2dnp4azMy9RoEzrhdlmajVhU51+TXVz586FJEmqX4/E1G6qGxoaErZ8sqku8TFURxNm2kDHUJ2+lB4nmS1UB8x+MbaRGKr7lJ6huuHhYeHzETbVGY9NdaQkVZrqioqKhOf0DtVdunRJ+PqF1qG67u5uhMNhVa6RqkSb2ohCbXphUx0lOpvRE1Cydu1arF27FsePH8d7772HM2fOIBAIIDc3FzfccAM+//nPx5Q81XpB7fe//318//vf1/QaRERERIlAlmWMjY0hFArBZrPB6XTyjW7STE9PD1pbW9Hd3Y0TJ05MeeHc5XKhsrIS1dXVaGxsxPz58w2cKRERERERERERmdGBAwewatUqjIyMxPT17e3tWLFiBfbt24eVK1eqPDtzEy1i1bqpTqnVRG+iRWla/wz0ZoamOjaZ6U/tpjrRvy3AUF0yYKiOJrCpzpxEAQZJkgxrAVFqJBodHU2YxiLR73Jubq6u8zADUUPc6dOnVb+WUlCPTXXGY6iOlKRKU91E2/rQ0NC0c3qH6pRuM7UO1QUCAfT09KCyslKV66Qi0fNvo5vc2FRHic7UoboJVVVVqKqqMnoaRERERDQDDDaR3tra2rB79250dHQIP8fj8eDw4cM4fPgwdu3ahUWLFuHuu+9GXV2djjMlIiIiIiIiIiKz6uzsjCtQN2FkZASrVq3CO++8g9raWpVmZ36ixdlaB8pEC+2MCNWJgoWp0lR38eJFhMNhWK1W1a6l1FRH+nI4HMJzsTTV9fX1RT0uSRKKi4tnPR6Zi9PphM1mQygUmnaOobrUwqY6c1JqBTJqg1ylRqLR0VEUFhbqOJvYsanuU3o21YmCehaLhZsxmABDdaQkVZrqAKC4uNjUoTpJklTb4KS6ulp4rquri6G6OCR7qI5NdWSUhAjVEREREZH5MdhEenO73di+fTtaW1sBALIMXBoLwu0LYiwYhj8YQUSWYZEkpNktcNqtyEq3I8dpR0dHBzo6OtDY2IgNGzYk3cIWIiIiIiIiIiKauWAwiPvuuy/uQN2EkZERrF+/Hu+++y7sdrsqY5qdUU11olCdaGGelkRNdcn22qMoVCfLMoaHh4XnY8GmOvOQJAlpaWlRA3SxNNWJQnWFhYUpc7uZzCRJQk5OTtQGS4bqUgub6sxJ9DjJyFYgpfCEEZslxIqhuk+JQnUXL16Ex+NR9XmCKCBSWloKm41LpI3GUB0pSZWmOmA8VPfhhx9OO653qK63tzfq8blz56r2XCwzMxPl5eVRQ89dXV244447VLlOKkr2UB2b6sgofMRIRERERHFhsImM0NPTg6amJgwNDUGWgQGPDwPuAELhyLTPjcgyxgJhjAXCGBoNwGa1oDDLgUJXOvbv348PPvgAzc3NqKio0P8bISIiIiIiIiIiw23btg3vv/++qmO2t7dj27ZteOSRR1Qd16xEoTqtd5cXjW/E4utUD9UBwIULF1QN1bGpzlxEoTo1m+rUakYg4zFURwBDdWYlepxkZCvQtZrqEoXod5mhuqk++eQT3HDDDapdS9RUpzQH0o/o+QFDdQSkXqguGrM01al9m1lTUyMM1VFsZFlO+lAdm+rIKAzVEREREVHMGGwiI/T09GDLli3weDzwBcM4PeTFWCAMAHBkZGFezTLkllTAVVACq92BcDAAz2Afhvt6cLbrEAJeN84O+zDsDaI8PwNDQ0PYsmULtm7dyt8/IiIiIiIiIqIUEwgE8Oyzz2oy9rZt2/Cd73wHDodDk/HNxGxNdWYK1Wn9M9DbtUJ1amJTnbmkp6dHbfSMJVTHf9vkl5OTE/U4Q3WpRdTadTWG6vQlCqkZGapTCk8kUqhO9Dufm5ur70RMoKysTHhO7VCdKCBSXl6u2jUodqKmOrWfO1BiMuN9klZSMVT3y1/+ctrxY8eOqXqdVBIIBCDLctRzyRKqE72+wFAdaY2hOiIiIiKKCYNNZAS3242mpiZ4PB6M+kM4OTiKcESGLT0D1bfciXk1y2CxTn+ak5FbgKKqm1D1+dU423UI3W+/hjGfF8fPe7CgIBOAB01NTWhpaUm6naOJiIiIiIiIiEhsz549mi1gOnfuHPbs2YN77rlHk/HNRLQQzqhQnRGLr0XBwmR7vTEzMxMOhwOBQGDaOTUXxsqyzKY6kxEtYhPtJK+ETXXJj6E6AthUZ1ZmDDBYrVZhI6oRmyXEShSqS8WmurS0NBQXF0d9riUKdMSKTXXmJgrVDQ4OQpZlSJKk84zITNhUZ55QnVIYOhY1NTVRj7OpLnZKz71FoTa9qBGqC4fDCIVCUc8ZHRqk5GcxegJERERElHiuDjYdP+/BWCAMW3oGam/7Bm558M9R3fB1FFXdhIzcAqRlZk+Gmqobvo5bHvxz1N72DdjSMzAWCOP4+fFxPJ7xYJNoR1+i7du3Y2hoCL5geDJQl1uyACvv+y5KF30uaqDuSharDaWLPoeV930XuSULEI7IODk4Cl8wjKGhIezYsUOn74SIiIiIiIiIiMzg9ddfT+jxzcKopjrR4m8zNdUlW6hOkiRhW52aobqLFy9GDe4BbDMzimgRWyxNdQzVJT+G6ghgU51ZmTFUp3T9ZGiqS8VQHSAOtYlCcLHSq3WJYiMK1YVCoagtyJRazHqfpAWzh+q0aKqLZmBggE2VMVIK1RkdOlMjVKf02gKb6khrDNURERER0awx2ERGaGtrQ2trK2QZOD3knfy9W3rXBqS5or85K5LmysHSuzZM/v6dHvJCloH9+/ejra1No++AiIiIiIiIiIjM5uDBg5qOf+jQIU3HNwtRqE7rhXCi3evNFKrTOlhoBD1CdaKWOoBNdUZRs6nu7NmzUY8zMJk8GKojYOZhuZmG70gdogCD0a1AiR6qk2VZ+DufqqG68vLyqMfVbKoLh8Po7e2d1fVJX6JQHTDeVkepjU11wPnz5xGJRHSZgyzLwttMvUJ1AHDs2DFVr5UqUjlUZ/T3R8mPoToiIiIimhUGm8gou3fvBgAMeHyTzYg3rf4DWO2OmMaz2h24afUfwJbmxFggjAHP+JPzV155RbU5ExERERERERGRuXV3dyf0+GYhWuysdaBMtNBO78XXsiwLg4XJ1lQH6BOqE4WuAPFiRNKWKFQ326Y6WZbZVJcCGKqjcDg84wYiNtXpSxRgMLoVyCyP62I1OjqKUCgU9Vxubq6+kzEJUUBDzVBdf3+/8OfOpjpzYKiOlLCpbry1Ua8NBi5evCh8HKD2bebcuXORnZ0d9VxXV5eq10oViRiqC4fDCAaDMxpD6ftjUx1pjaE6IiIiIpoVBpvICD09Pejo6IAsAwPuAACg+pY7Zx3kvFqaKwfVDV8HAAy4/ZBl4OjRozh16lTccyYiIiIiIiIiIvObbRhktmJpcEo0kUjEsFCdaKGd1+uFLMuaXvtKPp8P4XA46jmG6mIjaqrLz8/nYiqDiBbpzfZ29MKFC8JFdQzVJQ+G6mg2/9YM1enLrAEGpcd1iUApEJGqTXWigMbp06dVu4ZSQI9NdeaQlZUFm80W9RxDdalNlmU21V3W39+vyxyUbjPVDtVJkiRsq2OoLjaJGKoDZt5Wx6Y6MhJDdUREREQ0Yww2kVFaW1sBAJfGggiFI3BkZmFezTJVxp5XswyOjCyEwhGM+IJTrkdERERERERERMlN63BOKiz6UFrorPXibNFCu9nshK0Gt9stPJdKobqhoSHVriFqqps3b55q16DZEd1ezjY8rNRCyH/f5MFQHc0mKMdQnb4SLVSXKE11DNVNJwq1ffLJJ6ptgCEK6KWnpwsfs5K+JEkSttWpuSkHJR6loI3R90laKCoqEp4zOlRnsVgwd+5c1a/HUJ26lP5mjH79UY1QHZvqyEgM1RERERElqIkde0ZGRnTbdZfBJjJKd3c3AMB9+Xdj3vXLYLFG381stixW2+Tv8chYcMr1iIiIiIiIiIgouVVXVyf0+Gbg8XiE57RuqlPavV7PBdhKoTqtfwZGyM/Pj3pcj6Y6LRb60cyo1VTX19cX9bgkSYrtDZRYGKqj2Ybq9GyYTXVmDdWJHtclSqhO6Xc+NzdXt3mYiaj1aGxsTLXNGEQBkfLyckiSpMo1KH6iUB2b6lKb0gY9ydhUl56eLnyMrFeorre3N+rxkpISYaNkPBiqUxeb6oi0o/4tIBERERFppqenB62treju7saJEyemLFZwuVyorKxEdXU1GhsbMX/+fNWvr0ew6VT7WxgZCyLHaWewiQCMB0hPnDgBABgLhgEAuSUVql4jZ17FlPGPHz8OWZb5QjsRERERERERUZKrq6vDkSNHNBt/2TJ1NiUzM6WFzloHypQWf3u9Xt1aQZSChanUVKdmqI5NdeajVlOdKFRXVFQEu90+63mROTFUR0qtXVeLRCLweDxJeZ9pRqLHbkYHGJK1qS4jIwMOh0Pn2ZiDKFQHjIfh1GiSEzXVKV2b9MdQHUWjdPtudNBbK8XFxVEfDxvdVKfVbaYoVPfxxx/D7/ezfWyWRM+9HQ4HLBZje7bYVEeJjqE6IiIiogTQ1taG3bt3o6OjQ/g5Ho8Hhw8fxuHDh7Fr1y4sWrQId999N+rq6lSZA4NNZJSxsbHJRSn+YAQA4CooUfUaWYUlU8b3eDzw+XyKT/qJiIiIiIiIiCjx3X777Xj++ec1HT/ZmbWpTmnXe7UpNdUlY0BAj1Adm+rMR7SIbbZNdQxMpgZRqG5kZITv/aWI2TTVTXx+Mt5nmpHoMZLRAQbR9fV8TBcPUahOr00ezGju3Lmw2WwIhULTzp0+fRpLliyJ+xpKTXVkDoFAQBiU2LFjB/r7+3H77bdjzZo1KRtATVWp1lQHjN8uRttgPtVCdeFwGCdOnEBtba0m101WottSM7S4ad1Ux1Adac3YWCoRERERKXK73Xj66afxgx/8AB0dHZBlYNgbxCdDXnT3u/FB7yUc/mQYH/ReQne/G58MeTHsDUKWgY6ODjQ3N+OZZ55RfEN/powMNlFqu/JF9ogsAwCsdnVfTJ0Yb2J8AAgGg6peg4iIiIiIiIiIzGfNmjUoLi7WZOy5c+dizZo1moxtJkqhOq0XZysttNOz1UT0GrzD4UjKhaFsqktNooV6ajXVlZSo+54TGUsUqguHwwnTOkXxmU1THTD7EB7FTvQ3aNZQXaLcZoh+h1M5VGe1WlFaWhr1nCjYMVtsqjOvYDCIp556CuXl5Xj33Xejfs7Q0BCef/55rFu3DuXl5Xjqqae4TiOFpGpTXTTJGqqrrKyE1WqNeq6rq0uTayazZA/Vib4/q9UKm409YqQthuqIiIiITKqnpwcbN25Ea2srZBk47/ah8+wITl0YxdBoAGOB8GQAKCLLGAuEMTQawKkLo+g8O4Lzbh9kGdi/fz82btyInp6euObDYBMZ5conxpbLO5eGgwFVrzExnuWKnVHtdruq1yAiIiIiIiIiIvNxOBx4+OGHNRl706ZNSRmouppoIZzNZtP8+1daaGeGpjqtm/qMIgrVjY2NzXix1LWIQnVsqjOOWk11DNWlBlGoDgAuXbqk40zIKLE01ZE+zBqqE22WkCihOjbVRScKaqgVqmNTnTl1dnZi+fLlePTRR2ccFurv78ejjz6K5cuXo7OzU+MZkhkoPWdXCugkMrOG6srKyjS5nsPhQGVlZdRzDNXNnplDdWlpacI28nib6szw/VHyY6iOiIiIyIR6enqwZcsWDA0NwRcM46Pzbpwd9iEUjsCRkYX5S2/FzV+7H5+//3to+KPv4/P3fw83f+1+zF96KxwZWQiFIzg77MNH593wBcMYGhrCli1b4grWMdhERnE6nZOLT9Ls409hPIPR33SPlXugb8r4LpeLT8opJrIsw+v1YmRkBF6vF/IVIWEiIiIiIiIiMqdNmzZh6dKlqo65dOlSbNq0SdUxzUrUVOdyuYQLatSitGhHz1Cd6GeQlZWl2xz0JArVAeq01fl8PmG4gk11xhG9Zj7bUB1bCFMDQ3U025DcbJvtKHZmDdUlelOd6Hc4NzdX34mYjChUJ2qYmw2/3y8MorCpzjgHDhzAihUr0N7eHtPXt7e3Y8WKFThw4IDKMyOzET1nt9vtSbtWTBSqO3funObXlmUZvb29Uc9peZtZU1MT9ThDdbNn5lCdJEnCecTbVCfa4IdITexCJCIiIjIZt9uNpqYmeDwejPpDODk4inBEhi09A9W33Il5NctgsU5/GJeRW4CiqptQ9fnVONt1CN1vv4YxnxfHz3uwoCATgAdNTU1oaWmJ6Y38iWCTx+NBmt2CsUAYnsE+ZOQWqPBdj2OwiaKRJAmVlZU4fPgwnHYrxgJhDPf1oKjqJtWucelsDwDAabcCAKqqqjRf8EPJo6enB62treju7saJEyemLKJyuVyorKxEdXU1GhsbMX/+fANnSkRERERERETR2O127Ny5EytWrMDIyEjc4+Xk5GDnzp1JuwjsaqJAmR4LsyVJQmZmZtQ56LkAW9RUl6qhunh3uVdaUMimOuOIFrKJFr6JsKkuNTBUR7MNybGpTh+yLAsfI4ma4vQieuyo50YJ8WBTXXSixjg1mupE4RCAoTqjdHZ2YtWqVXE/rx4ZGcGqVavwzjvvoLa2VqXZkdmYNeStJSOb6gYHB4Ubomgdqnv11VenHWeobvZE4TSzrK10Op1R58imOkoEbKojIiIiMpnt27dPNtRNBOpySxZg5X3fRemiz0UN1F3JYrWhdNHnsPK+7yK3ZAHCERknB0cnG+t27NgR07wmgk3Ap8Gj4b6emMYSYbCJRKqrqwEAWenjC5HOHjuESDikytiRcAhnuw4BALKd9inXI1LS1taGxx57DN/+9rexa9cuHD58eNoCLo/Hg8OHD2PXrl3YuHEjHnvsMRw8eNCgGRMRERERERGRSG1tLfbt24fs7Oy4xsnJycHevXtTauGfUlOdHkQLwPVcgC0K1en1M9Bbfn6+8JwaTXVKoTq2mRlHFKqbTVOdLMvCpjqG6pJLRkYGrFZr1HMM1aWG2YbkGKrTRzAYRDgcjnrO6BBDojfViX6HUz1UJwpqqBGqU2q7Y6hOf8FgEPfdd58qG9UA48G69evXIxgMqjIemY/oObvRIW8tiUJ158+fhyzLml5b6XbXqKY6rb/nZCPa0MbpdOo8k+hE82BTHSUChuqIiIiITKStrQ2tra2QZeD0kHcyULf0rg1Ic4l3dIwmzZWDpXdtmAzWnR7yQpaB/fv3o62tLab5MdhERmloaAAA5DjtsFktCIy6J39f4nW26xACXjdsVguyL/9uT1yPKBq3242nn34aP/jBD9DR0QHIMjB2Ebh4Cjj/IdD3PnCmffz/z384fnzsIiDL6OjoQHNzM5555hnhYisiIiIiIiIiMsbKlSvxzjvvYOnSpTF9/dKlS3HgwAGsXLlS5ZmZm2ihcyqF6kTBwmRtqrPZbMIWKjVCdaLQVVpammL7FWlLtDv8bJrqLly4IFwYzVBdcpEkSfj3ylBdamBTnTkpBdSMDtWJHtMlSqhO9Dufm5ur70RMRhTU6O3tFQY8Z0oUEMnLy0vazS3MbNu2bXj//fdVHbO9vR3btm1TdUwyDzbVfSoQCGj+WEh0m2mz2VBUVKTZdUWhOrfbLXzuT9GJnnubpckt3lAdm+rISAzVEREREZnI7t27AQADHh/GAmHY0jNw0+o/gNXuiGk8q92Bm1b/AWxpTowFwhjwjD/5eOWVV2Iaj8EmMkpFRQUWLVoESQIKs8b/Hrrffg1+T3xvvPo9l9Dd+ioAoDArDZIELF68GPPnz497zpScenp6sHHjRrS2to6H6dz9QP8HwNDHgHcQCHoBOQJAHv//oHf8+NDH45/n7gdkGfv378fGjRvR09Nj9LdERERERERERFeora3Fu+++iyeffFK42CmaG264Ae+++25KNdRNMLqpzgytJqLNk5I1VAcAc+bMiXpcy6a6efPmQZKkuMen2KjRVNfX1yc8xxbC5MNQXWpjU505mTlUJ7q+nhslxEMUqkv1prry8vKox8PhsGI78UyIAiKia5J2AoEAnn32WU3G3rZtGwKBgCZjk7HYVDdVf3+/ptfu7e2Nery0tFTYMK2G66+/Xniuq6tLs+smo2QP1bGpjozEUB0RERGRSfT09KCjowOyDAy4x18Qqr7lzlk31F0tzZWD6oavAwAG3H7IMnD06FGcOnVq1mMx2ERGWrt2LQCg0JUOp8OKkM+LI3tfRDgY2wuo4WAAR/a+iJB/DE6HFYWutCnXIbpaT08PtmzZgqGhISDoAwaOASO9QDiI3AwH7qorxffW3IC/fbAOL/73z+FvH6zD99bcgLvqSpGb4QDCwfHPHzgGBH0YGhrCli1bGKwjIiIiIiIiMhm73Y5HHnkEp0+fxksvvYQHHngAN998s3BxCACcOnUq7qaFRCUK1em1MNsMTXUM1X1Ky6a6uXPnxj02xU60UE+NUJ0kSbMKMlNiYKgutTFUZ06JGKpL9Ka6VA/ViZrqAHEobqZOnz4962uSNvbs2aNZIOjcuXPYs2ePJmOTsdhUN5XWoTrRba7Wt5n5+fnCJjyG6mYn2UN1bKojIzFUR0RERGQSra2tAIBLY0GEwhE4MrMwr2aZKmPPq1kGR0YWQuEIRnzBKdebLQabyCj19fVoaGiAJAHl+RmwWiQM951E+893zDrY6fdcQvvPd2C47ySsFgnl+RmQJKCxsRF1dXUafQeUyNxuN5qamsYXiQVGgYEuIDgKV7oNf/LVhXhhQz0euPUzWLGwAPPynMjLdGBenhMrFhbggVs/gxc21ONPvroQrnQbELz89YFReDweNDU1CRdeEREREREREZFxHA4H7rnnHjz33HP47W9/C6/Xi9/85jdRP9fr9cb8mmuiM7qpzsyhOr1+BkYwqqmOjCPaHV60sC8aUaiuuLgYNpstpnmReTFUl9pEASNR4JyhOn0oBdSMbgYShSjGxsYQiUR0ns3siX6HUz1Ul5+fL1xkLwrFzRSb6szj9ddfT+jxyRip2FTndDqFj4WSNVQHADU1NVGPM1Q3O8keqmNTHRmJoToiIiIik+ju7gYAuC+H3uZdvwwWqzpvIFqstsmA3shYcMr1ZovBJjLSQw89hPz8fKTbrVhQkDn5+3dg51M40/EeIuGQ4tdHwiGc6XgPB3Y+Nfl7t6AgE+l2K/Lz87FhwwadvhNKNNu3b/+0oW7wI0AOo7Y0Gz+6fyluu3EubFblp9c2qwW33TgXP7p/KWpLswE5PD7O5ca6HTt26PSdEBEREREREVE8Pve5zyE3NzfquX379uk7GZMQLc7WK1BmhlYTUbCQTXWxYVOdOanRVCf6t2VgMjkxVJfaRAGjBQsWzOrzSV1Kmw4Y3QykFKLQc7OEWPj9fuGCcdFzh1QhSZIw5MamuuRx8OBBTcc/dOiQpuOTMVKxqQ4Qt9UxVEfXInqskSyhOtFrCwzVkR4YqiMiIiIyAVmWceLECQDAWDAMAMgtqVD1GjnzKqaMf/z4cciyHNNYDDaRUbKystDc3AyXy4XMNBuqilzjjYn+MXS++TO8/dwP0d36Kvo/OgLv8CD8oyPwDg+i/6Mj6G59FW8/90N0vvmzyWbEqqLxcVwuF5qbm5N6kQvFrq2tbXyneVkGLvZMBup+cPdi5Ltm9+JNvisNP7h78afBuos9gCxj//79aGtr02T+RERERERERKQem82Gr371q1HP7d27V+fZmAOb6sRNdcn8eiOb6lKPlk11JSUlMc2JzI2hutTl8/mEtw0VFRVRjzNUpw9RgMFms8HhcOg8m6mUQhRmD9WJmhkBNtUB4sBGvKE6NtWZR6ybeptlfDJGKjbVAeYL1ZWVlWl6XYChOrWIHl+Lwmx60ypUZ5bQICU3dapPiIiIiCguY2NjkwsP/MEIAMBVoO4biFmFJVPG93g88Pl8MT2xmgg2bdmyBYAHVUUunB7yYuxysOn4v+/FvJplyJlXgazCEljtDoSDAbgH+nDpbA/Odh1CwDu+yMDpsKI8PwPpdiuDTTQjFRUV2Lp1K5qamjA0NISFRVkY8Pgx4PYj4HXjVPtbil9vs1pQmJWGQlcaJAnIz89Hc3Oz8E08ot27d4//h+c8EByFK92GR++sQZrdGtN4aXYrHr2zBt96oR2j/lFg9DzgKsYrr7yC+vp6FWdORERERERERFpYvXo1fvazn0073t3djePHj6OqqsqAWRlHFKrTa3d50YI7PZvqRKE6vYKFRmBTXeoRhepm01THUF1qYagudSkF5NhUZywztwIpzUHPx3WxYKhOmRahukuXLmFkZGRW1yPtzObxYCxms4kDJQ4z3ydpyYhQXSQSwZkzZ6KeM7Kp7pNPPoHH40nq107UJLotNEvoLN5Qnej7Y1Md6YGhOiIiIiITCIU+bXaLXG6Ps9rV3QluYrzIFe10wWAw5t1KGGwiI1VUVKClpQU7duzA/v37UXT5d2nEF8TIWBBjwTD8wQgisgyLJCHNboHTbkW2047sdDskaXycxsZGbNiwgUFOEurp6UFHR8d4S93o+IuYDzQumHVD3dXyXWl48NYF+P/e+Ajw9AOZRTh69ChOnTqF+fPnqzF1IiIiIiIiItLI7bffLjy3b98+fPvb39ZxNsYTLYTTa1GUaMGdno0momBhMr/uqFWoLhKJCBcTsqnOWKKFerNZ5CwKTPLfNjkxVJe6lAJyoveClUJJpB4zBxiUmonMHqpT+p1nqE7cHHf69OmYx1QK5LGpTn9paWmaBt/MEhghdbGpbiotQ3Xnz59HMBiMes7IUB0wvkHV0qVLNZ9DMkj2UB2b6shIFqMnQERERESAzfbpXgeWy2mfcDCg6jUmxpsYHwDsdntcY04EmxobGyFJQFFWGmrnZaOiIBP5mQ44HdbJ61kkCU6HFfmZDlQUZKJ2XjaKssYDdY2NjWhpaWGgjmYlKysLmzdvxhNPPIHFixdDkoAcpx3X5WegujgLN5bl4ObrcnFjWQ6qi7NwXX4GcpzjgbrFixejqakJmzdvTuqFLRS/1tbW8f/wDQPhIPIyHfhCbZEqY3+htgi5GQ4gHBwf/8rrEREREREREZFpFRUVCdvm9+7dq/NsjCcKlOkVqhMtuNMzVCdqqkvm1x61CtVduHBhykaEV2JTnbFEu8OHQiFEIpEZjcGmutTCUF3qUgrIid4PvnTp0oxvSyh2onCaGQIMydhUZ7fbY97kOJlo0VQnCuRJksTHFQaorq5O6PHJGGYOemvJiFCd0u2tHqG68vJyYTCqq6tL8+sni2QP1bGpjozEpjoiIiIiE3A6nXC5XPB4PEizWzAWCMMz2IeM3ALVruEeGH+jMs0+vq+Cy+VS5UnVRLCpsbERr7zyCo4ePYocpx05zmsH9hYvXoy1a9eirq4u7nlQ6qqvr0d9fT1OnTqF1tZWdHd34/jx41MW87hcLlRVVaG6uhoNDQ1sAqMZ6+7uHv8P3wgA4NYbCmGzqrM/jc1qwRdqC/Hzg2fGx3fmfXo9IiIiIiIiIjK11atXo62tbdrxX//61/B6vaZYmKwXUahOr4Vwop+1XouvZVlmqO4KFy9eRCQSgcUS22to586dE55jm5mxlN5T8vv91wwNRCIRYVMdF78nJ4bqUpeotctutwv/3ifuT0W/N6QO0aYDZggwKD1+1nOzhFiIQnV5eXmQrtj0OFWJAhv9/f3w+/0xLZYXBURKSkri3lyaZq+urg5HjhzRbHyG6pITm+qmMiJU53A4UFCg3tpEEavViurq6qi3EwzVzVyyh+rYVEdGYqiOiIiIyAQkSUJlZSUOHz4Mp92KsUAYw309KKq6SbVrXDrbAwBw2q0AgKqqKlVfwGWwiYw2f/58rF+/HsD4G28+nw/BYBB2ux3p6el8w4JmTZZlnDhxYvyD4PgLujeUZqt6jZqSbABnJsc/fvw4ZFnm7ysRERERERGRya1evRrNzc3Tjvv9fvz617/GHXfcYcCsjGF0U51oEbhei6/9fr+wWU2vn4ERRKE6WZYxPDyM/Pz8mMYVha4kSUJRUVFMY5I6lBa8+3y+a4bqlFoIGZhMTgzVpS5RwCg3Nxd5eXnCrxseHmaoTmNmbgWyWCxwOp1RF16bvalOFCRV+n1PJUotSL29vaisrJz1mKKmOj0al2i622+/Hc8//7xm47/66qv4P//n/+CP//iPY968g8yHobqp+vv7NVsr0tvbG/V4WVmZbn9TNTU1DNXFSRROM0vojE11lMgYqiMiIiIyierqahw+fBhZ6XYMjQZw9tghVH1+NSzW+B+yRcIhnO06BADIvtwgp9VOTgw2kRlIkgSn03nNN/GJlIyNjX26KCw0/uJNRYG6byouKMycMr7H45nRAhQiIiIiIiIiMlZdXR0KCwsxMDAw7dzevXtTKlQnWuSsV6BMtOBOr1CdKFQIJHdTnVJo7sKFCzGH6kRNdQUFBWwdMZjSQjbRjvJX6uvrE55jU11yUgrVcXO55KYUMMrNzVX8Om7Kqi0zh+qA8cd1iRiqU2qqI+Wg2yeffBJTqE7UusRQnTHWrFmD4uJizZq2/H4//uRP/gQvvfQSnnvuOTbXJQmz3ydpRRSq8/l8cLvdyM5Wd6NnwBy3mTU1NVGPM1Q3c6LQmVnWF7GpjhIZI/tEREREJtHQ0AAAyHHaYbNaEBh1Twbh4nW26xACXjdsVguy0+1TrqeliWBTdnY2nE4n3xwjooQyZddkWQYApDusql5jcrzL4wNAMBhU9RpEREREREREpD6LxYLbb7896rm9e/dCvuK5fjILh8PCxTFGh+r0WnztdruF55I5VCdqqgPGQ3WxEjXVzZ07N+YxSR1KC9lEi/uuJArVWSwWthAmKVGoLhwO6xZ8JmOIQnW5ubmKTXSiryP1mD3AYHQDcayU2hlp/HmBKGAoCnpci+jrysvLYxqP4uNwOPDwww9rfp3f/OY3uOmmm/DUU08JG5ApcbCpbjqtgqlmDtV1d3cjHA7rNo9EJnrebZbQGZvqKJExVEdERERkEhUVFVi0aBEkCSjMcgAAut9+DX7PpbjG9Xsuobv1VQBAYVYaJAlYvHgxd/kjIroGm+2KptDLoWBfQN0X8ybHuyJ0zB23iYiIiIiIiBLD6tWrox7v6elJmZ22lYJrei3ONnrxdaqG6lwul/B1rHhCdaKmunnz5sU8Jqkj3qY6UWCyqKho6muxlDSUwlOXLsX3/ieZm1LAyOFwCBfLM1SnPdFjN7MEGESP69hUl/hEwY3Tp0/HNJ7o69hUZ5xNmzZh6dKlml/H7/fj0UcfxYoVK/DBBx8IPy8QCGDXrl148MEHcfPNN8PpdMJiscDpdOLmm2/Ggw8+iF27diEQCGg+Z4rO7EFvrTBUN5Xf78epU6d0m0ciS/ZQHZvqyEgM1REREVHCkmUZXq8XIyMj8Hq9SbHz79q1awEAha50OB1WhHxeHNn7IsLB2F7ECQcDOLL3RYT8Y3A6rCh0pU25DhERiTmdzk93VLeNv0jTM6jum3YnB0anjO9yufiCEBEREREREVGC+MpXvgKLJfpb7nv37tV5NsZQWuBsdFOdGUJ1ev0MjCBJkrCtjk11yUnpdcuZhOpETXUlJSUxz4nMjaG61CUKx00EjERBI4bqtCd6fGSWAEOihuqu9TtP4ga5WJrqIpEIent7Z3Ud0p7dbsfOnTuRnZ2ty/UOHjyIZcuW4Qc/+MGUYFwwGMRTTz2F8vJyrFu3Ds8//zyOHDkCn88HWZbh8/lw5MgRPP/881i3bh3Ky8vx1FNPIRgM6jJv+lSqNtW5XC7h/Z3eobqysjJNrhdNdXW18FyqbEwVr2QP1bGpjozEUB0REREllJ6eHrz44ot4/PHHce+99+Ib3/gGfv/3fx/f+MY3cO+99+Lxxx/Hiy++mLA7mNTX16OhoQGSBJTnZ8BqkTDcdxLtP98x68Y6v+cS2n++A8N9J2G1SCjPz4AkAY2Njairq9PoOyAiSh6SJKGysnL8A/v4C7cfnhlR9RpdfSNTxq+qqoJ0RWsdEREREREREZlXfn4+li9fHvXcvn37dJ6NMTwej/CcGUJ1emzGJ/oZ2Gy2pF/4o0Wojk115qX0+yxa/HYlhupSD0N1qUupqe7K/78aQ3XaM3srkOhxndlDddf6nSdxG1Isobrz588L28XYVGes2tpa7Nu3L+5gXU5ODr7zne9cM1wVDAbR1NSEuro6HDp0CJ2dnVi+fDkeffTRGYeT+vv78eijj2L58uXo7OyMa940c8FgUBhkNMt9kpZEbXVahOrC4bDwuZiet5mZmZnC4DNDdTOT7KE6NtWRkRiqIyIiooTQ1taGxx57DN/+9rexa9cuHD58eNob1R6PB4cPH8auXbuwceNGPPbYYzh48KBBM47dQw89hPz8fKTbrVhQkDkZrDuw8ymc6XgPkXBI8esj4RDOdLyHAzufmgzULSjIRLrdivz8fGzYsEGn74SIKPFN7paVPv7C/1sfDiAUjqgydigcwa87B6aMr7Q7FxERERERERGZz+rVq6Meb21tVWwwSxZKoTq9FsKJrjPRQqA10b9zVlZW0m+exKa61KIUqptJU53o35aByeSVmZkJq9Ua9ZwZQnWBQAC7du3Cgw8+iJtvvhlOpxMWiwVOpxM333wzHnzwQezatUsY3CCxa7V2iYJGomASqcfsoTrRPPRqII6V6HeXTXWfEgU3Tp8+PeuxlIJ4bKoz3sqVK/HOO+9g6dKlMX390qVLceDAAWzbtg0ffPABvvjFL17zaz744AP8zu/8Dj772c+ivb09puu2t7djxYoVOHDgQExfT7OjdLue7E11gL6hunPnziEcDkc9p3cQuaamJupxhuquLRQKIRSKvmbULKEzNtVRImOojoiIiEzN7Xbj6aefxg9+8AN0dHRAloFhbxCfDHnR3e/GB72XcPiTYXzQewnd/W58MuTFsDcIWQY6OjrQ3NyMZ555JqEWL2RlZaG5uXm87j3NhqoiF5wOK0L+MXS++TO8/dwP0d36Kvo/OgLv8CD8oyPwDg+i/6Mj6G59FW8/90N0vvkzhPxjcDqsqCoaH8flcqG5uRlZWVlGf4tERAmjoaFh/D/ScwGrHRdHA/h153lVxv5153kMewOA1T4+/pXXIyIiIiIiIqKEIArVBYNB/Nu//ZvOs9GfGUJ1Sgvu9FiALXr/Qa+mPiOxqS612Gw2YUCKTXUUjSRJwqYaI0N1wWAQTz31FMrLy7Fu3To8//zzOHLkCHw+32Qg+8iRI3j++eexbt06lJeX46mnnhK2qdB0olAdm+qMl6ihukRtqmOo7lOisFssTXWiIF5aWhoKCwtnPR6pr7a2Fu+++y6efPJJYXjoanPnzsWTTz6Jd999F7W1tQCAz3zmM/jXf/1X/O3f/u012+8ikUjcQfiRkRGsWrWKjXU6ULpdN8t9kpZEfxei58PxULqdZagucSg95xaF2fQmmoff70ckcu3Ny9lUR0ZiqI6IiIhMq6enBxs3bkRraytkGTjv9qHz7AhOXRjF0GgAY4EwIrIMAIjIMsYCYQyNBnDqwig6z47gvNsHWQb279+PjRs3oqenx9hvaBYqKiqwdevWyca6hUVZmJfrhM1qQcDrxqn2t3DkX/4e//73/xOtP/k+/v3v/yeO/Mvf41T7Wwh43bBZLZiX68TCoqzJhrqtW7eioqLC6G+NiCihVFRUYNGiRYAkAZnjL2w+v/8khjzX3nlZyZDHj+feOjn+gasYkCQsXrwY8+fPj3fKRERERERERKSjJUuWCMM+e/fu1Xk2+hMthHM4HHA4HLrMQSlUp8cCbFGwMBU2uFM7VOf1ejEyMhL1HJvqzEG0Q/xMmuoYqktNOTk5UY8bFarr7OzE8uXL8eijj864CaS/vx+PPvooli9fzkX2MyQKGDFUZzzRYyOztAKJ5mH2UN212hlJHNy4dOmS8PGfiCggct111yV9U3QisdvteOSRR3D69Gm89NJLeOCBByabYSVJmmyGfeCBB/DSSy/h1KlTeOSRR2C326eMI0kS/uiP/ggdHR244447NJ/3yMgI1q9fzzC9xthUp19Tneg2Mz09Hfn5+apfTwlDdbFTCtWZJXSmFO6byUY8bKojIzFUR0RERKbU09ODLVu2YGhoCL5gGB+dd+PssA+hcASOjCzMX3orbv7a/fj8/d9Dwx99H5+//3u4+Wv3Y/7SW+HIyEIoHMHZYR8+Ou+GLxjG0NAQtmzZknDBupaWFjQ2NkKSgKKsNNTOy0ZFQSbyMx1wOqywXH5B0CJJcDqsyM90oKIgE7XzslGUlQZJAhobG9HS0sJAHRFRjNauXTv+H64iwJ4Jjy+EJ1/rgj8Yjmk8fzCMJ1/rwqg/BNgzgcyiqdchIiIiIiIiooQhSRJWrVoV9dzevXshX94YLlmJAmV6trQp7WJvZFMdQ3Wzp7QrP5vqzEG0WO9aobpIJMIWwhRlplDdgQMHsGLFCrS3t8f09e3t7VixYgUOHDig8sySz7UCRgzVGUf02MgsrUCJ2FQXDoeFoTDR73oqUmpDmm1bnaipTu/GJZoZh8OBe+65B8899xx++9vfwuv1IhKJwOv14re//S2ee+453HPPPdfclKWsrAyvvfYafvrTn2oeBGpvb8e2bds0vUaqY1OdfqG63t7eqMeNCCKLQnUDAwNxNd6ngkQP1Y2NjV3z69lUR0ZiqI6IiIhMx+12o6mpCR6PB6P+EI6f92AsEIYtPQO1t30Dtzz456hu+DqKqm5CRm4B0jKzkZFbgKKqm1Dd8HXc8uCfo/a2b8CWnoGxQBjHz4+P4/F40NTUJHyD24yysrKwefNmPPHEE1i8eDEkCchx2nFdfgaqi7NwY1kObr4uFzeW5aC6OAvX5Wcgx2mHJAGLFy9GU1MTNm/enBJv3hMRaaW+vh4NDQ3jbXV5FYBkReeZETzx8tFZN9YNefx44uWj6DwzAkjWy+NJaGxsRF1dnSbzJyIiIiIiIiJtrV69OurxM2fO4IMPPtB5NvoSher0XASntIs9Q3XaUjtUd/bsWeE5NtWZg2iH+GvtOj84OIhQKBT1HJvqkptZQnWdnZ1YtWrVrNuQrjYyMoJVq1axsU6BLMvCcByb6ownCjGYJcAgmocej+lipfR7y6a6T5WWlgrDG7MN1Yk+v7y8fNbzosQiSRJ+//d/H52dnbj77rs1vda2bdsQCAQ0vUYqY1Od8U11RgSRr7/+euG5Y8eO6TiTxJPsobpIJCK8zWVTHemBoToiIiIyne3bt0821J0cHEU4IiO3ZAFW3vddlC76HCxWm+LXW6w2lC76HFbe913klixAOCLj5ODoZGPdjh07dPpO1FNfX4+tW7eipaUF69atw5IlS6bt9OtyubBkyRKsW7cOLS0t2Lp1KwMaREQqeeihh8Z3vLOnAwULJ4N133qhHW9+cA6hcETx60PhCN784By+9UL7p4G6goWAPR35+fnYsGGDTt8JEREREREREanty1/+Mmy26K9b7927V+fZ6MvsTXV6tJqIQnV6/gyMoldTXUZGRkqEFBNBrE11fX19wnMM1SU3M4TqgsEg7rvvvrgDdRNGRkawfv16BINBVcZLNm63G5FI9PdMGKozXqKG6szcVHfx4kXhOYbqPuVwOISbJLCpjmaruLgYu3btwsMPP6zZNc6dO4c9e/ZoNn6qE92uS5JkmoCQllI1VDdv3jzhc/uuri6dZ5NYkj1UpxRiNsv3R8lNeUU6ERERkc7a2trQ2toKWQZOD3knA3VL79oAq90xq7HSXDlYetcGtP98B4b7TuL0kBcLi7Kwf/9+NDY2or6+XqPvQjvz58/H+vXrAYzv8ufz+RAMBmG325Genq57LTsRUarIyspCc3MztmzZAo8HQGENcLEHo/5R/H9vfIQX3z6FL9QWoqYkGwsKM5HusMIXCOPkwCi6+kbw684BDHsvvwhkzxxvqLOnw+Vyobm5mYuCiIiIiIiIiBJYTk4O/tN/+k946623pp3bu3cvHnvsMf0npRPRQjg9A2V2ux02my1qC5YerSaiYGEqvN6jV1PdvHnz+P6HScTaVCcK1VksFhQVFcU9LzIvM4Tqtm3bhvfff1/VMdvb27Ft2zY88sgjqo6bDGbS2sVQnTFkWRY+NjJLqE7UTmTmUB2b6mbuuuuui/p4T62mOobqUo/W9xuvv/467rnnHk2vkapE90cZGRkp8dxPFKrzer3weDyqvqZipttMSZJQU1ODtra2aecYqlOmFEozS+gsnlCd0msKbKojPbCpjoiIiExl9+7dAIABjw9jgTBs6Rm4afUfzDpQN8Fqd+Cm1X8AW5oTY4EwBjzjO2W+8sorqs3ZKJIkwel0Ijs7G06nMyVeVCAiMlJFRQW2bt36aWNd4fVAThlgtWPYG8DPD57B1lc/xH977iD+4G/ew3977iC2vvohfn7wzHigzmof//zC6ycb6rZu3YqKigqjvzUiIiIiIiIiitPq1aujHj9w4IBie0WiM0NTHSBegK1HqE7UVJfKobqxsbFrLpiKRtRUJ2o1If2JFrNdq6lOFJgsLi6G1WqNe15kXkaH6gKBAJ599llNxt62bZtio0KqUnrcMxGmEwWNGKrT1tjYGGRZjnpO9FhKb6Jwnx6P6WIl+p2XJCklHg/ORnl5edTjoua5aAKBgPAxo2h8Sl4HDx7UdPxDhw5pOn4qE4WlzXJ/pDVRqA5Qv61OFKorKytT9TozVVNTE/U4Q3XKlEJnSmE2PcUTqlN6TYGhOtIDQ3VERERkGj09Pejo6IAsAwPu8Tcgqm+5E2mu6G+2zFSaKwfVDV8HAAy4/ZBl4OjRozh16lTccyYiotRSUVGBlpYWNDY2ApIEuIqB4huB/M8AGQWAPQOQLACk8f+3Z4wfz//M+Oe5igFJQmNjI1paWhioIyIiIiIiIkoSolBdOBzGm2++qfNs9CMK1enddiK6nh6tJgzVRRdLW51SUx2Zg2gH/Fib6kpKSuKeE5mb0aG6PXv2qL4wecK5c+ewZ88eTcZOZErBuIlQnaipbmRkBJFIRP1JEQDlYJpZmuqMfEwXK1GoLjc3FxYLl+deSdSKNJumujNnzgjDoWyqSz3d3d0JPX4qM3tzqtb0CtUFg0Hh82yjbjMZqouN6Dm31WqFzWbTeTbRadVUZ5YmPkpufNROREREptHa2goAuDQWRCgcgSMzC/Nqlqky9ryaZXBkZCEUjmDEF5xyPSIiotnIysrC5s2b8cQTT2Dx4sXj4TpnHpA3Hyi6ASj5LFC6dPz/i24YP+7MAyQJixcvRlNTEzZv3pwSC6uIiIiIiIiIUkVtba2wGWHv3r06z0Y/ogXObKrT/2dgBLVDdWyqM79Ym+oYqktdRofqXn/99YQePxGJQnWZmZmw2+0AxKE6WZYxMjKi0cxIKZhmlhBDIobqRL/zokbGVKZGqE7pcxmqSz3Xegwar2ttHEGxEz1XT5WmuqysLGFQSM1Q3dmzZ00XRBaF6j7++GPN/6YTmej2yEyBM6vVOvl4/2psqiOzM0c0lYiIiAif7vDjvhx6m3f9Mlis6jxcsVhtmFezDKfa38LIWBA5Tjt3FCIiorjU19ejvr4ep06dQmtrK7q7u3H8+PEpO7S7XC5UVVWhuroaDQ0NmD9/voEzJvqULMsYGxtDKBSCzWaD0+mEJElGT4uIiIiIiChhSZKEVatWYceOHdPOvf7664hEIknZVCFqqkulUJ3oZ5AKGyrl5+cLz7GpLjmJFuxda/Ej/21Tl9GhuoMHD2o6/qFDhzQdPxEptXZF++9oX690nmKXCKE60WM6M4fqRL/zDNVNpxSqk2V5Ru9TnT59OurxnJwcZGdnxzU/SjxpaWmaBt/MFFZJNqLbdbPcH2lNkiQUFxfj1KlT086pGaozYxBZFKoLh8M4ceIEamtrdZ5RYkiEUB0w3lYXDAanHY8nVGe275GSE0N1REREZAqyLOPEiRMAgLFgGACQW1Kh6jVy5lVMGf/48eMzfmGOiIhIZP78+Vi/fj2A8fszn8+HYDAIu92O9PR03s+QafT09EwGQE+cODEtAFpZWYnq6mo0NjYyAEpERERERBSD1atXRw3V9ff34/3338eyZcsMmJW2RIEyvRfCGdlqImqqS4VQnc1mQ05OTtRwzNDQ0KzHY1Od+Yl2iL/WYmY21aUuo0N1Wm+yyk1cp5tJa5dSaE709RS/RAjViebh9/sRDodhtVp1ntG1zSRISuNEzd4+nw+Dg4MoLCy85hiigIhobEpu1dXVOHLkiKbjkzZSvakOgKGhOpfLJXycrrXKykpYrVaEw+Fp57q6uhiqE0ikUF205ulrheqUXlNgUx3pgaE6IiIiMoWxsbHJN9/9wQgAwFWg7htpWYUlU8b3eDzw+XxwOp2qXoeIiFKXJElwOp28byFTaWtrw+7du9HR0SH8HI/Hg8OHD+Pw4cPYtWsXFi1ahLvvvht1dXU6zpSIiIiIiCixffGLX4TD4UAgEJh2bu/evSkVqkulpjpRqE7vn4FR5syZEzUcM9umunA4LFw8yDYz84i1qY6hutSlFKrTY/PTa/1uxkvLdpxENZOAkdIibobqtKMUqjNLiEEp3Of1ek25aQGb6mZOqRXpk08+mVGoTtRUZ1TjEhmrrq5O01BdMj6HN4tUb6oDxkN10agZquvt7Y16vKyszLDNodPS0vCZz3wGH3300bRzXV1dBswoMYhCaWYM1UXDpjoyO4vREyAiIiICgFAoNPnfEVkGAFjtDlWvMTHexPgAotZNExERESUDt9uNp59+Gj/4wQ/GA3WyDIxdBC6eAs5/CPS9D5xpH///8x+OHx+7CMgyOjo60NzcjGeeeUa4OJCIiIiIiIimcrlcaGxsjHpu7969Os9GH6KFcGYJ1enRVCcKFppx0bcW5syZE/X4bEN1g4ODiEQiUc+xqc48Ymmqi0QiwhZCBiaTnyg8FQqFrrmwUg1atxpwged0M2mqs9lswscKDNVpR7TZQFpammka4JTCfXo8rovFTH7naVxxcTHsdnvUc6Kw3NXYVEdXuv322xN6/FTGpjp9QnWi20yjg8g1NTVRjzNUJyZ6zm22Db9jDdWJvj9JkmCzsUOMtMdQHREREZnClQ9+LZd3QgkHp+/mG4+J8SxX7LQiesGOiIiIKJH19PRg48aNaG1tHQ/TufuB/g+AoY8B7yAQ9AJyBIA8/v9B7/jxoY/HP8/dD8gy9u/fj40bN6Knp8fob4mIiIiIiCghrF69Ourx9957D4ODgzrPRntmaaoT7WavdVNdIBCI2kwIMFQ321Dd2bNnhecYvDIPUUBJaVf5gYEBhMPhqOfYVJf8lBrJorVcqq26ujqhx09EooDRlU110T6+1tdT/BKhFUhpLmYN1c2knZHGWSwWlJWVRT0nCn5cjU11dKU1a9YIg0nxKioqwpo1azQZmxLjPklrDNVNx1CdmCh0ZrZNPtRuqktPTzesVZFSC0N1REREZApOp3PyTfY0+/hDFM9gn6rXcA/0TRnf5XKZ7okFERERUbx6enqwZcsWDA0NAUEfMHAMGOkFwkHkZjhwV10pvrfmBvztg3V48b9/Dn/7YB2+t+YG3FVXitwMBxAOjn/+wDEg6MPQ0BC2bNnCYB0REREREdEMiEJ1sizjjTfe0Hk22hOF6vReCCfazV7rUJ1Su3uqhOry8/OjHp9tqE7UZGaxWFBYWDjreZE2RO+rKYXq+vrE7/cxVJf8jA7V1dXVaTr+smXLNB0/Ec00YMRQnf4SIcCgNBetH9fFSvQ7z6a66ERBjpmG6thUR1dyOBx4+OGHNRk7Eomgt7dXk7GJTXUAQ3XRdHV1QZZlnWeTGJI9VCf6/rRuHieawFAdERERmYIkSaisrAQAOO1WAMBwX4+q17h0tmfK+FVVVdzJgoiIiJKK2+1GU1PT+KLGwCgw0AUER+FKt+FPvroQL2yoxwO3fgYrFhZgXp4TeZkOzMtzYsXCAjxw62fwwoZ6/MlXF8KVbgOCl78+MAqPx4OmpibFxYJEREREREQELFy4cPK17qvt3btX59loT7Q4W++mOtHCO60bTZSeJ+v9MzCK1k11RUVFsFqts54XaUO0oE20AA4Q/9syMJkajA7V3X777Qk9fiISheKuDhgxVKe/RA/VJVpTHUN10YmCHKIGuiu53W7hbYTRAREyzqZNm7B06VLVxx0cHMSKFStw8OBB1cemxLhP0pqRoTpRa6heRKE6t9ut2GKfypI9VKfUVEekB4bqiIiIyDSqq6sBAFnpdgDA2WOHEAmHVBk7Eg7hbNchAEC20z7lekRERETJYvv27Z821A1+BMhh1JZm40f3L8VtN86Fzar8UpDNasFtN87Fj+5fitrSbEAOj49zubFux44dOn0nREREREREiUmSJGFb3euvv45wOKzzjLQlaqrTO1AmWnindaOJ6PsHUqepTq1Qnaipbu7cubOeE2lHzaa6uXPnMjCZAlwuFyyW6K9J6hGqW7NmjXDBcrzmzp2LNWvWaDJ2IptpU50ocMRQnXZEAQYztQIpLZw2a6hupkFSGidqlJtJU53S57CpLnXZ7Xbs3LkT2dnZqo99/vx5NDY2JuUGOUZjU534ua7b7b5mAGkmAoGAMKBndBD5+uuvF57r6urScSaJI9lDdWyqI6MxVEdERESm0dDQAADIcdphs1oQGHVPBuHidbbrEAJeN2xWC7Ivh/YmrkdERESUDNra2tDa2grIMnCxZzJQ94O7FyPfNbsXG/NdafjB3Ys/DdZd7AFkGfv370dbW5sm8yciIiIiIkoWolDd0NAQ/uM//kPn2WgnGAwKgzR67y4vWnindahOqamOoTp1murmzZs36zmRdmJpqhOF6kpKSlSZE5mbJEnCRe56hOocDgcefvhhTcbetGkTHA6HJmMnMjbVmZfocZGZWoEsFothDcSxkGVZ+Dsr+h1PdaIgRzyhOkmSUFpaGte8KLHV1tZi3759mgTrvF4vvv71r+MnP/mJ6mOnMjbViZvqAHXa6s6cOSM8Z3Sobs6cOcLWcobqohOF0pIlVMemOjIaQ3VERERkGhUVFVi0aBEkCSjMGn8Dovvt1+D3xPeGit9zCd2trwIACrPSIEnA4sWLMX/+/LjnTESUDGRZhtfrxcjICLxeL2RZNnpKRBSD3bt3j/+H5zwQHIUr3YZH76xBmj22Hb/T7FY8emcNMtNsQHAUGD0PAHjllVfUmjIREREREVFSamxsFC4iSaYd7pUWNuvdVGfU4mtRqM5isaTMwh821aUWUahOqamOgUnKycmJelyPUB0wHn5bunSpqmMuXboUmzZtUnXMZDHTgBFDdfpLlACDUQ3EsXC73cImajbVRScKcvT19SEUCil+7enTp6MeLy4uZsiZsHLlSrzzzjsx3+crPX8Lh8P4b//tv+GJJ57gWgqVsKlO+1CdUljZ6FAdANTU1EQ9zlBddGyqI9IWQ3VERERkKmvXrgUAFLrS4XRYEfJ5cWTviwgHAzGNFw4GcGTviwj5x+B0WFF4uaVl4jpERKmqp6cHL774Ih5//HHce++9+MY3voHf//3fxze+8Q3ce++9ePzxx/Hiiy/i1KlTRk+ViGagp6cHHR0d4y11o+Mvsj/QuGDWDXVXy3el4cFbF4x/4OkHZBlHjx7lbQMREREREZECp9OJL37xi1HPMVSnDaMWX3s8nqjHs7KyIEmSptc2C1Go7uLFi4hEIjMeh8GrxCBasMemOlJidKjObrdj586dqrXX5OTkYOfOnbDb7aqMl0yCwaDwvnGmobqLFy+qPCuakOihOjM21SmFQBmqi668vDzq8XA4LHw8OEEUEBGNSamntrYW7777Lp588knFwNKV5s6diyeffBKnT5/Grbfeqvi5P/zhD/GHf/iHCAaDKsw2tYlu01MpVJeTkyMMBGsZqsvJyUFWVlbc48eLobrZET3nFoXYjMKmOkpUDNURERGRqdTX16OhoQGSBJTnZ8BqkTDcdxLtP98Bv+cSZFlGyO9DYMyDkN+nuAOQ33MJ7T/fgeG+k7BaJJTnZ0CSxncJrqur0/G7IiIyj7a2Njz22GP49re/jV27duHw4cPT3uD0eDw4fPgwdu3ahY0bN+Kxxx7DwYMHDZoxEc1Ea2vr+H/4hoFwEHmZDnyhtkiVsb9QW4TcDAcQDo6Pf+X1iIiIiIiIKKpVq1ZFPd7e3i5s5Eo0okXzgHma6rQO1Yma6sywQE0volBdJBKZVdsQm+oSQyxNdQzVkdGhOmB8kf2+ffviDtbl5ORg7969qK2tVWlmyUXp3/TqgBGb6vSXKKE6oxqIY6EUAmWoLjqldiSlViVA3FRnhsYlMg+73Y5HHnkEp0+fxksvvYQHHngAN998M5xOJyRJgtPpxM0334wHHngAL730Ek6dOoVHHnkEhYWFeP311/Ff/st/URz/H/7hH3DHHXdgZGREp+8oOYmeq5vtPklLkiQJw59qvG7U29sb9XhZWVncY6uBobrZYVMdkbZsRk+AiIiI6GoPPfQQjh49iqGhISwoyET3mQs4c/RdnD78Gziz82BzOCd3eLWlZyC7sBTZc8sx7/qlcBXMQyQcwtmuQ+hufRUh/xisFgkLCjKRbrciPz8fGzZsMPg7JCLSn9vtxvbt2yeDMDKAS8EQRsIReMMR+CMRRGTAIgFpFgsyrBZkWy3IsdvQ0dGBjo4ONDY2YsOGDSm1KIgoUXR3d4//h2/8DZxbbyiEzarOXko2qwVfqC3Ezw+eGR/fmffp9YiIiIiIiCgqUagOAF5//XXcf//9+k1GI0qhOr0Xwhm1+JqhOnGoDgAuXLiA/Pz8GY3DprrEIFqwpxSq478tmSFUBwArV67EO++8g/Xr16O9vX3WX7906VLs3LmTgToFSgGjmTbVMVSnnURpBTKqgTgWSr/zotu+VJebm4vMzMyov4/XCtWxqY5mw+Fw4J577sE999wz469JS0vDT3/6U5SXl+PJJ58Uft6bb76JxsZG/Mu//As3ioiR6DbdbPdJWisuLo5626ZlU51ZgsiiUN0nn3wCj8ej+2ZNZpfsoTo21ZHR2FRHREREppOVlYXm5mb4/X6c/vgj+Ad64B+5AL9nGMN9JzH0STc8Q/3wj47A7x7GYM+HOHFgH97a8ef45bPfwZv/ezM63/wZQv4xOB1WVBW5kJlmg8vlQnNzc0q9mU1EBAA9PT3YuHEjWltbIQPoDwTR4RnDybEALgRCGAuPB+oAICIDY+EILgRCODkWQIdnDP2BIGQA+/fvx8aNG9HT02Pgd0NEV5NlGSdOnBj/IDj+BsQNpfHtuHy1mpLsKeMfP35csTGYiIiIiIgo1X3mM58RLhDau3evzrPRhplCdUYtvhaF6lJp8de1QnUz4Xa7hQv92VRnLqJd4v9/9u4/uqkzsRP+90q6smXLNjg2NuBgB4hxbKbJGJwAyeCQdtrAtqVpAnOaCbv7JqdL3g7pGbLZEHqywzKz+1Iy84a+HXff5EyTbocz7ZnQkKXd10k72xA8M8QTE2dIsGPML/MbYzBYlmVZV9J9/xA2Nr7PtX7cK90rfT/nzBm413ruI6PIsvR8n69ogV8kEhG2LHABcu6wSqgOiDXWtbe3Y/fu3XA44ls2V1lZid27d6O9vZ2BuhnoBeLYVJd5dmkFEs3HTk11Xq8XsiyneTb2IEmSMNAhaqKb6bxVAiKUHRwOB/78z/8cLS0tExu+a/n1r3+NlStXoru7e8rxUCiEffv24bnnnptoyHM4HBMNec899xz27duHUChk9l2xrGg0apufSWYTNdXlcqgOADf41ZDtoTo21VGmsamOiIiILGd4eBj79u1DJBLB2NgYnJID5QUeuCU3XHDB7XBBggQ1GEUo4EMwosCvjGI4HISK2OLugqJZuKemBpWzCiFJQGlpKXbu3ImamprM3jkiojTr6+vD9u3b4ff7EYxGcXY0hEAkCgBwFxWjomkFShYuQuG8Kjjz8hAZG8PIpQsYOn0K/R3tCA37cCmo4KYSQbXHjcHBQWzfvh27du3icyqRRYyOjt5eyBiOvdlYU2bsBw73lBdOGd/v9yMYDArfFCUiIiIiIiJg3bp16OnpmXb8X/7lX6Aoiu0X2ooWNufn58PlSu9SBNFu9sFgENFoNO7gRKJEwcJc2txvfNG4oijTzsUbqhOFrgC2mVmNaEGbaFf5gYEBRCIRzXMM1eUOK4XqAECWZTz//PPYtm2b7tc5nU78/d//PdavXw+3252m2dmbKBDncDimBc5Fobrh4WGEw+G0v5bIBaLXblYLMNgpVCd6zN8ZIqWpFixYoPl7kl5TnaqqbKqjtPrWt76F+fPn44/+6I+EYY9z587h4YcfxoEDB7By5Urs2bMHr7/+umYgKhgM4vPPP8fnn3+Ot99+GxUVFXjxxRexdetW2783kCjR9xPIzaY6LbkQqquurkZeXp7m75I9PT1obGzMwKysSxRKy5ZQneg9BYbqKF3YVEdERESWMrlNqcBTgIaaJVhUUoU57tmYJRfCK+dBdjjhgASH5EC+041Z7gJUFZahtnguKjwlKHC74FJG0H/2BEZHA2hubkZLSwvDH0SUc4aHh7Fjxw74/X6MRKLoHQkiEInCVVCAuqf/HVZ+dzcWP7EB5fc3oqB8DvKKS1BQPgfl9zdi8RMbsPK7u1H39L+Dq6AAgVu3H4lE4ff7sWPHDuFO3ESUXuFw+PZfbrXH5budhl5jYrxJ7XRai+WIiIiIiIjotnXr1mkeHxoawscff5zm2RhPFCjLxMJsvYV3ZrbVid4fy6VQnSRJwra6eEN1ly9fFp5jU521iBbsiRbGXrp0STgWA5O5w2qhOgD48ssvZ/yaSCTCQF2CRK1dJSUl0wLuolAdAPh8PiOnRbfYJVQnel1nxVCd6DHPUJ0+UaBDL1Q3MDAgXHBvlYAIZZ8/+IM/wIcffqjbzn3z5k381m/9FpYsWYJt27bFHYbq7+/Htm3bsGLFimltd9lO7/ncaj+TzJaJUF1VVVXKYxvB6XSitrZW85xW8DrX5WpTndXuH2UvhuqIiIjIMsbblAYHB6EqUShXA1CHw/AWeDG3rBJr6ldh47J/gz9d8+/wn77+x9j62L/H002/i68tXo4STyHynC5U5Jfgbk85ZMmFvLw8uFwuPPXUUzn1ATYR0bg33ngDg4ODCEajOBUIIqICJQsX48E/24m5Kx+BY4ZdPh0uF+aufAQP/tlOlCxcjIgKnAoEEYxGMTg4iDfffDNN94SI9EzZsVeSAADBkPYO4MmaGO/W+ABybtdEIiIiIiKiRD3yyCPTWlnGtba2pnk2xhOF6kT32Ux6C+8YqjNfqqE6UVNdUVFRzi2qtDq9pjp10mZM40SBSafTifLyckPnRtZlxVBdV1dXXF+XyTnaUSKtXXqhI9E4lBq7hOpE8zHzNV2yRKE6vdAoiUNw586dE95GL3DHpjoy08qVK3H48GEsXLhQ+DWKouDMmTNJjd/Z2TlxjVyh93zOprqYVEN1wWAQ165d0zxnpSByXV2d5nGG6qYThc5EIbZMEc1Hr6ESYFMdZR5DdURERGQJk9uUomORWKAuFEFhfgH++OvfxBv/5268tPFb2Phbf4Cli+tRNWce5hSX4b7Kxfjt+76GrY89iz944HdQVOBFSUER6ioWYcnCWrjdbrYpEVFO6ujoQFtbG1QAZ0dDE4G6+7/1beSVzEporLySWbj/W9+eCNadHQ1BBXDo0CF0dHSYMX0iSoDH47m9YNEV26mr75qxO7aeGRiZMr7X6+WuYERERERERDPIy8vDb/3Wb2mey4ZQnWhhdiZCdVZrqsvE9yCTzGqqY0ud9YjeD1JVFeFweNpxUVNdZWUlnE6noXMj67JiqC7eRhiG6hKTSMBIL3TEUJ05RK/drBZgEIXq2FSXPUQhOL3gnChwJ8sy5syZY8i8iERqa2vx8ccfo6mpyZTxfT4f1q5dmzONdWyqu82sUN2FCxeE5xiqsye7NLmxqY7siqE6IiIisoTxNiVViSJ8bRSIqlgybxF2P/MqHm1YBZcz1sDi8RSgqqoKS5YsQWPjV7Fs2TI0frURDzY9iD/+g034f//kNdy/sAFOyYHwtVGoCtuUiCg3vfvuuwCAqyEFgUgUroICNDy7GU53crv4ON15aHh2M1weDwKRKAZCCgBg//79hs2ZiJIjSRIWLVoU+4sc+/D7y4s+Q6/Rc8k3ZfzFixdDmtRaR0RERERERNrWrVunefyLL77QXTRqB3ZpqjNzAbboe8CmuphUm+rmzp2b9JzIHHq7xGstghOF6vhvm1sYqssdiTTVFRcXJzwOpUa00YDVAgyikJ8VQ3WJPObpNlGgY2BgQLjoXvS709133w2Hg8ugyXxz5szBwYMH8bu/+7umjO/z+bBp0yYoimLK+FbCprrbRKG6oaGhGZu99Oi932SHUF1vby8ikUiaZ2NtdgmdJRuqY1MdZRpfTRIREVHGjbcpQQXCg8GJQN22J7Zgtlf7Q5YYCU6HEy6XC06HE4CE2d4SbHtiC5bMWwRE1dh4KtuUiCi39PX1oaurCyqAgVBsd+DFf7Ah4Ya6O+WVzMLiJzYCAK6GwlABHDt2DGfPnk1twkSUstra2tgf8mMLET76cgDhSNSQscORKA52D0wZf+J6REREREREpGvt2rXCc++//34aZ2I8UaAsEwuzrdZUx1BdzODgYFy3Z1Odfegt2NNaBCf6t503b55hcyLr0wvVqaqa5tnEdHV1xfV1DNUlRhQw0mqlczqdwmCdqP2LUiMKpVktVJcNTXV6TYykH+gQtSuJmuqsFA6h7FdYWIj33nsP/+E//AdTxu/s7MSePXtMGdtK9J7PGaq77erVq0mPKwrVlZaWWup7LArVjY2NcR3SHXI1VGe1+0fZi6E6IiIiyrjxNqWIPwQ1FEFhfgFeWPcc8mR3UuPlyW68sO45FOR5oIYiiPhDANimRES5o62tDQAwpIShRFW4i4tR0bTCkLErmlbAXVQMJapiSIlMuR4AqKqKQCAAn8+HQCCQsQ/EiXLN6tWrY3/InwU4ZdwYCeFgd/JvtE92sPsqbgZCgFOOjT/5ekRERERERKSrqqoKv/Ebv6F5rrW1Nc2zMZaVmuqsFqrLxPcgk9hUlzuMaqpjqC63iEJ1iqKk1MCRrOHhYWE4404+n8/k2WSXRANGouNsqjNeJBIR/vdml1Cdma/pkiV6zLOpTp9eEE4UBBEdX7BggSFzIoqXy+XCX/7lX5r2O9+ePXsQCoVMGdsqRM/nbrcbLpcrzbPJLL1QXX9/f9LjigLKVVVVSY9pBr2NfI8fP57GmVif3UN1kUhEt4lTdP/YVEfpkls/fYiIiMhyxtuUoALR4dibAk9/7YkZGupmNttbgm+u/kP86Gc/QXQ4BKfXPdGmVF1dbcTUiTJGVVWMjo4iHA7D5XLB4/FAkqRMT4sspLe3FwDgu9VSVbF8BRwGvfnocLlQ0bQC5z/8F/giEcySnfjkk0+gqip6e3tx6tSpKQuqvF4vFi1ahNraWjQ3N/M5mMgkNTU1aGhoiL2uKqwAfBfw9qEzWHbPbJR6k3+jcdA/hrc+OhP7i7cCkCQsXbqU/y0TERERERElYN26dfj888+nHf/f//t/Y2xszLYLRES7y2ciUOZ0OpGXl6e5s7WZrSaiYCGb6mLiDdWxqc4+9J6vtP77Y6iOAHGoDog1wYkWXprlyy+/jPtr2VSXGFEYThQwmjVrlmbAkaE64+kF0uwSqrNTUx1DdfoKCgpw1113ab5WTDRUx6Y6yoR//Md/FP4umKorV67gwIED2LBhgynjW4FdmlPTYfbs2XC5XAiHw9POpRKqs8tzptfrxd133605356eHqxduzYDs7KeaDRqmyY3vd/tRkdHIcuy5jm73D/KXgzVERERUUaNtxtFRxWoERWzCovxSN2Dhoz9SN2DeOeX/4ihwDCiwTAcHhfa2tqwadMmQ8YnSqe+vj60tbUxtEQzUlUVp06dAgAEboXqShYuMvQaJfcsxHkANwOjGDlzCp2dnThz5oxmuNPv9+Po0aM4evQo9u3bh4aGBjz11FNYvny5oXMiIuDJJ5+Mheq8c4DRG/AHR7D7n3rw3aeWIk92JjzemBLB7n/qwchYGJALgcI5E9chIiIiIiKi+K1duxZ//ud/Pu34yMgIfvGLX+A3f/M3MzCr1FmpqQ6ILc7VWoSTiaY6hupi2FSXffQWtGntLC8KTPLfNrfMFKpLd4C2u7s77q9lqC4xbKqzLr1Aml7jbyaI5mPFUF2iQVK67e6779Z8rShqEhUdt1pAhHLDBx98YPr42RyqE/2ObrWfR+ngcDgwZ84czc1IciFUBwB1dXXCUB3FiAJngH6ILRNmCtUVFxdrnmNTHWWaI9MTICIiotw23qYUDUYAAKuWNMHlNCb373K68PCtgF50NDzlekR20dHRgVdeeQUvvPAC9u3bh6NHj05brDIeWtq3bx+2bNmCV155BUeOHMnQjCnTRkdHJx4jY9FYqK5wXpWh18ivmItAYATXh/0YHh5GOBzG4FgI54Ih9IwEcXQ4gM98ARwdDqBnJIhzwRBuKmGoALq6urBz50784Ac/EC46IqLkNDU1YfXq1YAkAbNrAMmJ7os+fOcfjmHQL36jVcugfwzf+Ydj6L7oAyTnrfEkNDc3MxRLRERERESUoJUrVwoDBa2trWmejXFEobpM7S4vWoDHUJ35UgnVhcNhDAwMaJ5jU531JNJUF4lEhIFJNtXllplCdenGUJ15kmmqS2QcSl42NNWZ+ZouWYkGSem2BQsWaB7XClYoiiIM6ovGITKT2etxPv30U1PHzzRRSDoXQ3UAUFFRoXk8l0J1Whiqu00UOAOs1+Q2U6hOhE11lGkM1REREVHGTG5TUpVYqK523kJDr3Hv3HumjH/y5EmoqmroNYjMMDw8jO9///v47ne/i66uLqgqcDOg4PxgAL39w/jiwhCOnr+JLy4Mobd/GOcHA7gZUKCqDC3lunA4PPHn6K2nO6eBO/cEAgH0nj6NUEgBJAljURXDkSj6AmO4HgpjNBKduG5UBUYjUVwPhXFmNIQu/yj6QwpUAIcOHcKWLVvQ19dn2NyICHj++edRWloKyPlA2b0Twbo/+ZtO/OyLKwjfarAUCUei+NkXV/Anf9N5O1BXdi8g56O0tBSbN29O0z0hIiIiIiLKHrIs47d/+7c1z9k5VCdaCJeppjrRAmyzWk0URREu+snU9yBTSktLNY8HAgHdxV8AcPXqVeHnNmwzsx69BW13/vdw9epVRKPa70UxVJdbvF4vJEnSPJeJ0FpXV1fcX8tQXWJEYTg21WWe3ushu4TqrNZUNzo6KnwtyKa6mYmCHVpBkEuXLglfU1gxIELZz+wN3bN9w3hRSNpqP4/SJZ2huqoqYzfkNgJDdTPLhVAdm+oo04ypgSEiIiJKwuQ2JVWJvQF2d9l8Q6+xoLxqyvh+vx/BYNBy1ddEk/X19WHHjh0YHByEqgID/iAGhkOaQYioqmI0FMFoKILBkRBcTgfKi9wo9+bj0KFD+OKLL7Bz507U1NSk/45QRrhct3/Nc0ixYFtE8IFOogKBAHp6ejA2MgIVQDQaReTWBxju4hLMXfEwShYuQuG8Kjjz8hAZG8PIpQsYOn0K/R3tCA37cCmo4KYSQbXHjcHBQWzfvh27du3iY5TIIEVFRdi5cye2b98Ovx9AeR1wow8jYyP4y38+gR///CzW1Jejbl4x7ikvRL7biWAogjMDI+i55MPB7gHcDIRig8mFsYY6OR9erxc7d+7MuZ32iYiIiIiIjLJu3Trs27dv2vGenh6cPn0aCxcau+FcOoia6jIVKEt3U53o/gNsqpvs+vXrmD9f/NmPqHUEYFOdFbndbuG5OxfB6f3bMjCZWxwOB4qLizUDamyqyx6qqibc2sVQXfpkQ6guFAohHA5P+Sw0k/QepwzVzSyRUJ0oHAKwqY4yQxSoNcpMG5PYneh3dDbVTZVsqG5kZET4msyKQWRRqO7q1asYHBwUbuKTS3IhVMemOso0a/yGQURERDlpcpsSbm1Cmi+LP4xLxsR4kzY5VRSFoTqyrL6+vltBCD+CSgTnBgMYDcWaFt0FRZhbtwyz5tXAWzYPTtmNiBKC/9ol3LzUh8s9nyIUGMblm0HcDChYUFrA0FIO8ng88Hq98Pv9yHM4MBqJYuTSBRSUz0lp3HA4jN7eXoTDYYxdG0BEVYGwAofTieLqe7Dqv34fTlmedruC8jkov78RC3/vCfR3tOPk/9wXa7sbCWJRQT7g92PHjh1oaWnJucVGRGapqanBrl27JgLaKF8CjFwF/P24GQjhvSMXAVwUD+CUAW8FUDgHkCSUlpYyoE1ERERERJSixx9/XHju/fffx7e+9a00zsYYolBZphZmixbgmdVqMjw8LDyXa+9zpRKqu3LliuZxp9OJsrKylOdGxpIkCW63G6FQaNq5OxfBXbp0SXMMp9OJ8vJyU+ZH1lVSUmKJUJ3f70dfX1/cX89QXfxGR0ehKIrmOVHASHScoTrj6b0estraCb1QxcjICEpKStI4GzFRYAFgqC4eomDHuXPn4joGxF5zW+XxQLklLy/P1OBbtodIRD+TrBbyThfRZjLJhuouXLggPGenUB0AHD9+HCtXrkzjbKwpF0J1bKqjTHNkegJERESUu6bsICbF/i+oTP8QLhUT40m3j8kaoQ8iKxgeHsaOHTvg9/sxMhbGyat+jIYicOUXoP7r38DXnvvPqF39+5iz+DdQMKsMeYXFKJhVhjmLfwO1q38fX3vuP6P+69+AK78Ao6EITl6NjeO/FVrSW+RB2UOSJCxatAgAUOCM/co3dPpUyuOePXsWoVAIUQD+S7E34RwAZt27BOVfXa4ZqJvM4XJh7spH8OCf7UTJwsWIqMCpQBDBaBSDg4N48803U54jEd1WU1ODlpYWNDc3A5IUC8lVfAUoXQgUlAFyASA5AEix/5cLYsdLF8a+zlsBSBKam5vR0tLCQB0REREREVGKKisrsWzZMs1zra2taZ6NMazWVCdagGdWUx1Ddbfp7Rx//fp13duK2swqKirgcHBJixWJFu3duQhOFKqbO3cu/21zkCj0kO7QWk9PT0Jfz1Bd/PSCcGyqyzxRgKGgoACSJGmeyxS9UIVZr+uSoReqEz226TZRw9zw8PC0515RUx1b6ihTamtrbT1+prGpbiqjm+r02j2rqqqSGtNMc+fOFb6Hkuhr92ylF0azWqjO7XYLX1uyqY6sjO9SERERUcaMtykBgCTHXpacv6bTmpKEcwMXpozv9Xr5Ypss64033sDg4CCCSgRnro0gElUxa949WPXMf8L8hofgcOoXTTucLsxveAirnvlPmDXvHkSiKs5cG0FQiTC0lGPG32QtvhWq6z/SjujkdtAE3bx5c2LxSyCkYOx4NySnE0V3lcHhklFcfU/cY+WVzML93/r2RLDu7GgIKoBDhw6ho6Mj6TkS0XRFRUV46aWX8J3vfAdLly6Nhes8s4HZ1cCc+4B5XwXmN8b+f859seOe2YAkYenSpdixYwdeeumlnFsISEREREREZJZ169ZpHv/www91F5ZYlWhxdqZCdaIFeJkI1WXqe5ApsiyjuLhY89xMoTpRU93cuXNTnheZQ7RT/J2L4ESBSf7b5iarhOq6u7sT+nqG6uKXTMCIobr0Eb0esmIrkN6czGogToboMZ+Xl2e59j8r0mtLujMQImqqs2LjEuWG5cuXmzq+aEOebMGmuqnSFaorLy+35JpJSZKEbXUM1cXoNdVZ7TWHJEnCOYne+1RVlU11lHEM1REREVHGTG5TkmQnAKD30mlDr3Hi8pkp4y9evNhyO60RAUBHRwfa2tqgqsC5wcBEoK7xic3I82p/0CiS5y1B4xObJ4J15wYDUFWGlnLJ6tWrAQAlsguyQ0LI50N/R3vS440vfhhTVYwe74IaHIXs8UC+Fdqbs+zBhMZzuvPQ8OxmuDweBCJRDIQUAMD+/fuTniMRiTU1NWHXrl1oaWnBxo0b8cADD0xb3Of1evHAAw9g48aNaGlpwa5du0z/QIiIiIiIiCjXiEJ1wWAQH330UXonYwCrNdWJQnVmLb4W3X+Hw5GTO+zfddddmseTbaqrrKxMeU5kDtFCzDtDdaKmunnz5hk+J7I+q4Tqurq6Evp6n89n0kyyj14Qbvbs2ZrHRaE6vYAeJcdOAQa911FWCtWJHvOixztNNW/ePOHanTtDdGyqI6t5/PHHbT1+prGpbipRqG5wcBCKoiQ83oULFzSPW7GlbhxDdfr0QnVutzuNM4lPoqE6vce5FYOglJ30qy6IiIiITFZbW4ujR4/Cke9EdETB4eMd+MbDvw/XDI1c8QhHwvhlzycAAIfHNXE9Iit69913AQAD/iBGQxG48gvwG+v+LZxycr/8OmU3fmPdv8Xhva9hdGwUA/4xzCnKw/79+9HU1GTk1MmCampq0NDQgK6uLpS7XbgUVHDyf+5Daf1S5JXMSmisQCAwset2cHgYo788BGdeHvKcTgASZi2uhXfe/ITnmFcyC4uf2Iiev/tbXA2FUe6WcezYMZw9exbV1dUJj0dEM6uursamTZsA3N7tS1EUyLKM/Px8y2w8oKoqRkdHEQ6H4XK54PF4LDM3IiIiIiKiVDQ1NeGuu+7SDBm1trZi7dq1GZhVckKhkHDRS6YWZ4uum+6mOq/Xm5O/x9511104c+bMtONsqss+op3i71zox1AdTWaVUJ2oqU6WZc2fa2yqi59ea5doMawoVDcyMjLx3jUZw06hOrs31TFUFx9ZljFv3jxcvHhx2jk21ZHVrV+/HhUVFUk3iemprKzE+vXrDR/XSuz0MykdRKE6ALh69Srmz09sPY4oiGzl50yG6vSJQnVWWuMxWaKhOr3QIJvqKF3YVEdEREQZNd6m5PDIkJwSbo748ItbQbhU/aLnEwwFhiE5JTjyXVOuR2QlfX196OrqgqoCA8MhAEDt134v4Ya6O+V5S1C7+vcBAAPDY1BVTISWKPs9+eSTAIA5bhkFTgfCgQC63n4TkdDYDLecanBwEACghELw//M/QVVCkGU38hyxN2YW/NbvJD3HiqYVcBcVQ4mqGFIiAIC2trakxyOi+EmSBI/Hg+LiYkuE1vr6+vDjH/8Yr776Kp5++ml84xvfwDe/+U184xvfwNNPP41XX30VP/7xj/kzjIiIiIiIbM3pdAp3nG9tbYWqqmmeUfJELW2A9ZrqMhGqy0Vsqssd8TbVif5tGZjMTVYJ1Yma6pYtW6Z5nKG6+CXT2iUK1QH83hvNTgEGvQXiZr2uS4YoVKf3uKapRAGPOwMhbKojq3G73XjxxRdNGXvr1q2WbJ4yEpvqptIL1SUT3MymUN2pU6cQCoXSPBvr0QvVWVGiobo730uYzKr3kbIPQ3VERESUUeNtSpAAR1HsTYG/+/l7uOFP7U3yG/4h/KRtP4Bb40rA0qVL2X5EljQeIhoaVRCOROEuLMLcOu0P7xI1t24Z3AVFCEei8AWVKdej7NbU1ITVq1dDAlDtccMpAUOnT+LoX/0FxoZuxj2O3+9HZMSPawf2IXz5IpwuFwqcDgASKpY/iLsafiPpOTpcLlQ0rQAA+CKxUF1vb2/S4xGR/XR0dOCVV17BCy+8gH379uHo0aPTFmb6/X4cPXoU+/btw5YtW/DKK6/gyJEjGZoxERERERFRatatW6d5/PTp07Z6X0SvJcRqoTqzGk1EwcKioiJTrmd1yYbq2FRnP2yqo2RYIVQ3MjKCvr4+zXMrV64U3iYcDps4q+whCtXpBYz0zonGo+SIXg9ZMcAgSZIw7MemuuwiCnhMbqYbGRmZ2AQ23tsTpcPWrVvR2Nho6JiNjY3YunWroWNakZ2C3ulw1113wel0ap4T/b6sJ5tCdZFIBKdOnUrzbKwn20N1bKojK2CojoiIiDJuvE3J6XVDcjsxEgzgh61vYUxJbqeRMSWEH7a+hcDYKCS3E06ve8p1iKxmfLHM8K3Q29wly+BwugwZ2+F0TQT0fKPKlOtR9nv++edRWlqKfIcDiwryJ4J1n/y37+Dyx79AdIYPgqPhMK52fIyrP3kbocsXgWgU+WoUDklCXkkJ7n3qj1KeY8k9CwEAo5EoAODkyZO22pWdiJIzPDyM73//+/jud78b2x1aVYHRG8CNs8DVL4FLnwEXO2P/f/XL2PHRG4CqoqurCzt37sQPfvADYSsAERERERGRVf32b/+2sHnj/fffT/NskqfXVJephXCi66a7qY6huqn0QnWqqrKpzoZEi9om7y4fDoeFrQoM1eUmK4Tqenp6hJ8/iEJ1AODz+cyaUlZJprWLobr0Eb0esmqAId2bJSQjmXZGmkrUNDc5ECIKhwDWDohQ9pNlGXv37kVxcbEh45WUlGDv3r2QZdmQ8ayMTXVTORwOlJeXa57Llaa6RYsWCYOFPT09aZ6N9YjCaNkSqtNrqmOojtKFoToiIiLKuPE2JUiAqzQfcEg4fukUdr/XknBj3Q3/EHa/14Ljl04BDik2ngQ0Nzdj+fLlJt0DouSpqjqxq86oEmvqmjWvxtBrlMytmTI+Q0u5o6ioCDt37oTX60Wh04HawnwUOB0Ij46i5+/+Fh9/ZxtOvrcPA7/+FIGBqxjzDSEwcBUDv/4UJ9/bh8P/+T/h+r+0Ijo2BoRCwEA/3Hl5cBUU4Df+z29DLkx91/HC+bE37oLRWKjO7/fr7kJERPbX19eHLVu2xJpTVRUY7gf6vwAGTwOBa4ASANQoADX2/0ogdnzwdOzrhvsBVcWhQ4ewZcsW4e7SREREREREVlRWVoaHHnpI81xra2uaZ5M8vVCd1ZrqGKpLj2RCdT6fT/heIJvqrEu0cG/yQrirV68ieus93zvx3zY3WSFU193drXk8Pz8f999/v/B26ZyjnSUTMCouLhZuNsBQnbHs1gpk56Y6vbAoTSUKeMQbqquqqjJ8TkSJqK+vx/vvv59ysK6kpAStra2or683aGbWZrefSelQUVGheTzRUJ3P5xNuCGHl58y8vDwsXLhQ8xxDdeImN1F4LdOMbKqzanCQso8x9RdEREREKXr++edx7NgxDA4OwlXmQfjaKI5fOoWX934P31z9h3ik7kG4dJq7wpEwftHzCX7Sth+BsdFYoK7MA0l2oLS0FJs3b07jvSGK3+jo6MQClDEl9gGzt8zYXVqLyudNGX88tGTVX67JWDU1Ndi1axd27NiBwcFB1BbmYyCk4GoojNCwD+c//BeIPopQVRVSNAJ5xI/w0BAkqMibNRtf/dP/BO98Y95wc97aVSg6KeepKAofn0RZqq+vD9u3b4/97FOCwI0+QIl9cDKrwI019eW4b34xasoKke92IhiKoO/aCL686MPB7gHcDIQA34VYa93sGgwODmL79u3YtWsXampqMnrfiIiIiIiI4rVu3Tq0t7dPO37o0CH4/f6MhdISobegOVO7y6e70UQUqrPDv58ZkgnViVrqADbVWZlop/jJC+H0/m3ZVJebrByqq6urQ2lpqfB2DNXFJ5mAkcPhQElJiWaAjqE6Y9ktwJDuBuJkiB7zbKqLn16oLhqNwuFw4Ny5c5pfM2fOHC60J0tYtWoVPv74Y2zatAmdnZ0J376xsRF79+7NmUAdwKY6LUaF6i5cuCA8Z+WmOiD2mvzEiRPTjjNUJw6dWfXnIJvqyI7YVEdERESWMLlNyZHnhDynAJLbicDYKH70s5/gT996FT9p249PTnyGKzcHcHNkCFduDuCTE5/hJ2378advvYof/ewnCIyNQnLHbu/Ic8Lr9WLnzp05uzMsWV84HJ74c/RWe5xTdht6jfHxopPa6RRFMfQaZG01NTVoaWlBc3MzJABz3DIavB7c48nDXW4XCpwOOG5tBOqQgAKnA3e5XajJl1EwcAXyyDAkqHCXzMZv/Mm3DQvUAUDk1psjjkkbkcqybNj4RGQdw8PD2LFjRyxQFxoBBnoAZQTefBf+9Hfuxd9sbsKzjy7EynvLMHe2B7ML3Zg724OV95bh2UcX4m82N+FPf+deePNdsSDeQA8QGoHf78eOHTuEixmJiIiIiIisZt26dZrHQ6EQPvzwwzTPJjmiprqCggI4nc40zyYm3YuvRd+DXP08IplQ3ZUrV4TnGKqzrnia6i5duqT5NS6XC2VlZabMi6zNCqG6rq4uzeP19fXC+QEM1cUrmaY6QBy6Y6jOWNkSqrNDUx1DdfFbsGCB5vFQKISBgQEA4qY60W2JMqG+vh7t7e3YvXu3MBx1p8rKSuzevRvt7e05FagDxM/lDNVNl2ioTvScKUkS5s+fn/C80qmurk7zOEN12R+qY1MdWQGb6oiIiMgy7mxTkucUIOIPITocwlBgGK2d/6p7e8kpwVHkhtPrBiSgtLQUO3fuZGsJWZrLdfsluUOSEFVVRJSQodcYH88h3U4tMbSUe4qKivDSSy+hubkZ+/fvx7FjxzBLdmKWrL/IyeV0wuPxwD3rLqiFXoRu3gCq7zFsXiMXY2/q5Ttie754vV6+KUKUpd544w0MDg7GGuqunQDUCOrnF2Pb79Wh1DvzDmMupwNf/0ollt0zG7v/qQfdF32xccrrMDg4iDfffBMvvfRSGu4JERERERFRar761a+ioqJCc3FUa2srfv/3fz8Ds0qMKFCWyYXZogV4ZoXqRJu7MFQ31Y0bNyaaRu4kajMrKSkRLsKizIunqU4UqqusrNR8LFD2E4XWQqEQgsFgWj4XEDXVNTQ0QJZleDwezYWeDNXFRxSC02uq0zvPUJ2x7BZgSHcDcTKSDZLSbXqtSefPn0dFRYWwqc7qjUuUe2RZxssvv4xvf/vbOHDgAD744AP88z//My5evDjta0tKSnD27Fm43cZuuG0Xot/RrRr0TgezQ3UVFRWWf7zphepUVYU0ac1brsn2UJ1eU53VH7eUPfhOFREREVnK5DYlSICzyA15rheuMg8chTIktwMY/x1JAiS3A45CGa4yD+S5XjiLYoG65uZmtLS0MFBHlufxeOD1egEAeXLs5bn/mvaHzckaHrg0ZXyGlnJbU1MTdu3ahZaWFmzcuBEPPPDAxGNwnNfrxQMPPICNGzfiD//wD3HfffehdPYsAMDQ6VOGzmfozGkAgMcZe3wuXrw4p98MI8pWHR0daGtrA1QVuNE3Eaj77lNL4wrUTVbqzcN3n1qK+vnFgBq5NZ6KQ4cOoaOjw5T5ExERERERGcnhcGDt2rWa51pbW6GqappnlDhRqO7O95nSKd2Lrxmqm0oUqotGo8JAiqipbu7cuYbNi4wnCtVNXggnCkzOmzfPlDmR9WW6CS4QCOD06dOa58bbYURz9Pl8ps0rm4hau5IN1YnGo+TYLcCQ7gbiZCT7mKfbysvLhYvlx4MhbKoju3G73diwYQPeeust/O3f/q3m1wwNDVkqJJxOiqIgHA5rnrNq0DsdjArVXbhwQfN4VVVVwnNKN1Gozufz6bbc54JcDdXl5eVx/RilDZvqiIiIyHK02pQcHhccnplfuixduhRPPvkkli9fnoaZEqVOkiQsWrQIR48ehUd2YjQUwc1LfZiz+DcMu8bQ5T4AgOdWIxlDSwQA1dXV2LRpEwBAVVUEg0EoigJZlpGfnz/xGFFVFX19fSh2OnAdQP+Rdiz8vSfgcKX+62Q0HEZ/RzsAoNgZe3zW1tamPC4RWc+7774b+4P/KqCMwJvvwrbfq0PeDG2ZInmyE9t+rw5/8jedGBkbAUauAt4K7N+/H01NTQbOnIiIiIiIyBzr1q3D//gf/2Pa8fPnz6OrqwtLly5N/6QSIFoAmMlQnWjxtaIoE+97GcmKwcJMEoXqAOD69euarS2i4FVlZaVh8yLjiRbuxdNUx1Bd7popVCdaSGyU48ePC0PrDQ0NAGJz1Fqwy6a6+CTb2sWmuvQQvXazW6jOKiEURVGErwXZVBc/h8OBqqoqzdDzeEMdm+rIzkQhISD22mTFihVpnI016D2PW/VnUjqY3VRnh+fMJUuWCM/19PTk9OY7ojBatoTqRKFB0YY+RGZgUx0RERFZVqJtSi0tLdi1axcDdWQ74yGiovzYoo7Lxz9FNKK9M1OiopEwLvd8CgAo9shTrkc0TpIkeDweFBcXw+PxTAldrl69GgBQIrsgOySEfL6JIFyq+jvaERr2QXZIKLkVrBm/HhFlj76+PnR1dcVa6kZib/w/23xPwg11dyr15uG5R++J/cXfD6gqjh07hrNnz6Y6ZSIiIiIiItN9/etfh9OpvdFIa2trmmeTOCsGyvR2tRct3EkFm+qmmilUp4VNdfYUT1OdKFTHf9vclemmuu7ubs3jeXl5uOee2HuMojkyVBcfo5vqGKozlt1CdeluIE6U3vMCQ3WJETXOnT9/HqqqsqmObG3evHnC35G//PLLNM/GGvQaR9lUN93169eFzX5a7Byqu+uuu1BeXq55rqenJ82zsRZR6EwUXss0o5rqrBoapOzEpjoiIiKyvHjblIjsavXq1di3bx9KPDJcTgdCI8O43PMp5jc8lPLYl3s+RSgwDJfTgeJboT2GligRNTU1aGhoQFdXF8rdLlwKKjj5P/ehtH4p8kpmJT3u2NBNnHzvHQDAHLcLEmJto9XV1cZMnIgso62tLfaH4E0gomB2oRtr6ucYMvaa+jn48c/P4mYgFBvfMxttbW0Trx2JiIiIiIisatasWXj44Ydv/840SWtrK15++eUMzCp+olBdJhdm6117ZGQExcXFhl6PobqpvF4vZFmGoijTzolCdWyqsyfRwrbJC+FE/7ZsqstdRUVFkCRJsy0uHaG1rq4uzeNLliyByxVbPsdQXfKi0Sh8Pp/mOTbVWYPdQnVWb6oThUgBhuoSJQp6nD9/HtevXxcuwLdDQIRIkiTU1dXhyJEj087lakiITXXaRKE6VVUxMDAQ9+Ykdg7VAbFN4gcGBqYdf+GFF/DGG29g+fLlePzxx7F+/Xq43e4MzDAzRKE6q4bO2FRHdsSmOiIiIrIVvTYlIrsaDy1JElBeFPulv/fn/4Qxf2of0o35h9Db9o8AgPKiPEgSQ0uUnCeffBIAMMcto8DpQDgQQNfbbyIS0t4taCaR0Bi63n4T4dFRFDgdKHfLU65DRNmlt7c39odgbFHFo/eVw+U05i0pl9OBNfXlU8afuB4REREREZHFrVu3TvP4L37xC8sv4BcthLNqU53ebvjJEoXqMvk9yCRJkoRtdWyqyy6ihW2TF8KJmuoYqstdDodDGDrOZFNdQ0PDxJ8Zqkuez+fTDEwCbKqzCtFrN6u2AomCFWa8pkuGXqhupsc8TSUKepw7d04YDgHYVEf2UVdXp3k8V0N1bKrTJgrVAUB/f39cY+i1e1o9VKcoCl577TV0dnZqno9EIvj888/x9ttvY+PGjViwYAFee+01zU19slG2h+rYVEdWwFAdEREREZEFjIeJyr358LidCAcD+Lz1x4gooaTGiyghfN76Y4THRuFxO1HuzZtyHaJENDU1YfXq1ZAAVHvccErA0OmTOPpXf4GxoZsJjTU2dBNH/+ovMHT6JJxSbDwJQHNzM5YvX27G9Ikog1RVxalTp2J/UWIfktw339hmgLp5xVPGP3nypHABBxERERERkZWsXbtW83gkEsHPfvazNM8mMaKmulwK1Ym+B7naVAcApaWlmsfZVJddZmqqC4fDwoWfDEzmtkyG1kRNdfX19RN/FjWaMlQ3s1QCRgzVpYfotZBVW4Hs2lTndDpz+rVgMkThuPPnzwvDIS6XSzeAQmQlDNVNxaY6bWVlZcJigXhDdUNDQ8Lvb1VVVdJzM1t3dzdWrFiBbdu2CUNXd+rv78e2bduwYsUK4eYZ2STbQ3VsqiMrYKiOiIiIoKoqAoEAfD4fAoEAFyETZcBEaEkCFpQWwOmQcPPSGXS+92bCjXVj/iF0vvcmbl46A6dDwoLSAkgSQ0uUmueffx6lpaXIdziwqCB/Ilj3yX/7Di5//AtEw2Hd20fDYVz++Bf45L99ZyJQt6ggH/kOB0pLS7F58+Y03RMiSqfR0dHbiwzDsTdDa8qM/UDknvLCKeP7/X7hG69ERERERERW8pWvfAXz58/XPPf++++neTaJEQXKMrkITu/aRi/ADofDwsVAubyQOpGmulAoJAzbMXhlbTM11V29elX4WSOb6nJbpkJ1o6OjOH36tOY5NtUZQy8AN3v2bN3bMlRnPkVRhE0uVg0wiDZLsEqoTvT4nDVrljAUQdpE7UmXL18WPndXVVXB6XSaOS0iw4hCdadOnUIolNwm23YmCnlLkpTTARqXy4WysjLNc/GG6vTaPa3aVHf48GGsXLlS2FA3k87OTqxcuRKHDx82eGbWku2hOjbVkRW4Mj0BIqJcp6oqRkdHEQ6H4XK54PF4+AYLpUVfXx/a2trQ29uLU6dOTfkA3Ov1YtGiRaitrUVzczOqq6szOFOi3PH888/j2LFjGBwcxD1lhThzbQQ3L53B4b2voXb172Nu3TI4nOKX8NFIGJd7PkVv2z8iPDYKp0PCPWWFyJedDC1RyoqKirBz505s374d8PtRW5iPs6MhBEZH0fN3f4vT//QeKppWoOSehSicfzeceXmIjI1h5OJ5DJ05jf6OdoSGfQCAAqcD1R438h0OeL1e7Ny5M6cXGxFls/DkwO2txVT5bmM/6JwYb9JiLUVRhG/WEhERERERWYUkSVi3bh1+9KMfTTvX2toKVVUt+5mRFZvq9BbbGN1UJ7r/AEN1WrTCc3oLA9lUZ22ixa7jC+EuXbokvC1DdbktU6G13t5eRKNRzXOTm+oYqkueXlOd6Ps6ThS6Y6jOOHZsBbJrU91MIVKaThT0iEajaG9vT+g2RFYkCtVFIhGcOnUK9913X5pnlFmi5/HCwkLLvv+RLhUVFRgYGJh2PNVQncPhsOTvYd3d3Vi7di18Pl9K4/h8PqxduxYff/zxlNf22UQURrNq6IxNdWRHDNUREWUAw0yUSR0dHXj33XfR1dUl/Bq/34+jR4/i6NGj2LdvHxoaGvDUU0+x4YrIZFNCS/Bj8Rwvzg0GMDo2iu6f/RQnf9mKuXXLUDK3BkXl8+CU3YgoIQwPXMLQ5T5c7vkUocAwAMDjdmJBaQHyZSdDS2SYmpoa7Nq1Czt27MDg4CBqC/MxEFJwNRRGaNiH8x/+C8R7XwGyQ8IctwvlbhkSgNLSUuzcuRM1NTVpugdElG4u16S3niQJUFUEQxHAwM/pg6HI7fFvkWXZuAsQERERERGZSBSqu3LlCn7961/jq1/9agZmNTPRQrhMhuocDgc8Ho/mIh2jQ3XDw8PCc5n8HmRaIqG6K1euCMdhU521iRbuzRSqk2VZ+Bih3JCp0Jroc3G3241FixZN/F00v1QX+uYCUQCuuLh4xjYpUVNdIBBAKBSC2+1OcXaUTaE6o1/TJUsUqhM9nklswYIFwnOi5iGG6shOFi9eDIfDoRnw7+npyblQneh5XNRQmksqKytx7NixacdTDdXNnTt36mf2FqAoCp555hnDXmf7fD5s2rQJ7e3tWblOgE11ROaz1rMkEVGWY5iJMml4eBhvvPEG2traYgdUIDqqIBqMQFUiUJUooAKQAEl2QJKdcOQ74fDI6OrqQldXF5qbm7F582YGc4hMdGdo6d45RRjwj2FgeAyhwDDOdn6ke3uX04HyojyUe/MgSQwtkfFqamrQ0tKCN998E4cOHcIct4xyt4whJQJfJILRSBTBaBRRFXBIQL7DAY/TgWKnEyWyE+ORF/5MIcoNHo8HXq83tpGIKx9QAui7NoK5s41rkTszcGtBgCv2pqrX6+UbrEREREREZBu/+Zu/CVmWoSjKtHOtra2WDdVZsakOiC3A1lqkY3SrCZvqtCUSqrt8+bLm18qyjNLSUkPnRcYS7RY/vtBP9G9bWVkJh8Nh2rzI+jIVquvu7tY8vmTJkikLjNlUlzxRqC6egJHe1wwNDaG8vDy5SdEEvddBVg0xsKkud5SUlKCoqEhz0wpRQEQviEdkNXl5eVi4cCFOnjw57VxPT08GZpRZek11ua6iokLzeLyhugsXLmger6qqSnpOZtmzZw8+++wzQ8fs7OzEnj178PLLLxs6rhWIQnWi8FqmsamO7IjvVhERpcHw8DC+//3v47vf/W4sUKcC0YCC8GAQSv8IQheGETo/jNCFYSj9IwgPBhENKIAa2zVt586d+MEPfqC76yWRnr6+PmzZsiUWqFOByHAIymU/wteDiI4oUEO3AnUAoAJqKIroiILw9SCUy35EhkOAChw6dAhbtmxBX19fJu8OUdYbDy01NzdDkoA5RXmon1uMmrJClBa64XE74bjVxuOQJHjcTpQWulFTVoj6ucWYUxQL1DU3N6OlpYWBOjJcUVERXnrpJXznO9/B0qVLIQGYJTuxIN+NJYX5uL+oAF8tLsD9RQVYUpiPBfluzLoVqFu6dCl27NiBl156KacXGBHlCkmSbu/2LMc+nP/yorE7O/dc8k0Zf/HixZAmtdYRERERERFZWVFREVavXq15rrW1Nc2ziZ8oVJbphXCiheHpbKrL5fe8jGiqq6ys5O/1FpdsU928efNMmxPZg9Wa6urr66f8naG65KXS2qX3NaJxKTF6r4My/dpNRPSaziqhOlGQlKG65CTaPMemOrIbURtdLobq2FQnlmqoThREttpzZigUwuuvv27K2Hv27EEoFDJl7EzKlqa6sbExzdZONtWRFbCpjojIZH19fRNtQ1CBiD+E6HAIakSd/sW3wkzjgSbJOQZHkRtOrxuHDh3CF198wbYhSlhfXx+2b98Ov98PVYkiPBiEGooAAEoKivBw3YOonbcQd5fNR77sRlAJ4fy1i+i9dBq/7PkEQ4FhRG6OIRoIw1Waj8HBQWzfvh27du3iY5HIROOhpebmZuzfvx/Hjh1DiUdGiWfmmvqlS5fiySefZMspma6pqQlNTU04e/Ys2tra0Nvbi5MnT05ZVOX1erF48WLU1tZi9erVqK6uzuCMiSgTamtrcfToUSC/GAhcw0dfDuDffq0GLmfqez2FI1Ec7B6I/SW/eOJ6REREREREdrJu3Tr867/+67Tj7e3tuH79ujColEmiBc2ZbqqzQqgulxcDGtFUV1lZaeicyHgzNdUxVEciVmuqa2homPJ30fyGh4cRjUbZtKgjlYCRXqhONC4lRi+IZtVQnWhe4XAYiqJAlmf+zNxMqQRJaboFCxYIn6tFX09kJ3V1dfinf/qnacdzMVQn+pmUy79Hj8uVUN2BAwfivk+JunLlCg4cOIANGzaYMn6mZEuoDojdlzv/e2dTHVkBQ3VERCZimIkybXh4GDt27IDf70d0LILwtVEgqqIwvwBPf+0JPFL3IFzO6S8HKmeVo2nxA/jGw7+PX/R8gr/7+XsYCQagXA3AVeaBH37s2LEDLS0tOb3jKlE6MLREdlBdXY1NmzYBAFRVRTAYnPhAKz8/nztLE+W41atXY9++fUD+LMAp48ZICAe7r+LrX0l9kdzB7qu4GQgBTjk2/q3rERERERER2cm6devwH//jf5x2PBqN4l/+5V/wR3/0RxmYlT5RU12mQ3WiBdhGt5ro3f9cDl0Y0VQ3d+5cQ+dExhMtbBvfXV4UmOS/LWUiVBcMBnHy5EnNc/E21amqiuHhYeF5Si1gNP6zU6u1gqE6Y4heBzmdTrjd7jTPJj56Yb+RkZGMh9dEj3k21SWHTXWU7erq6jSP9/T0QFXVnFpPIdrwxqoh73TKlVDdBx98YPr4DNVlll6obnR0dFqojk11ZAUM1RERmYRhJrKCN954A4ODg7FQ563H4JJ5i/DCuucw2zvzm/4upwuPNqzC/dUN+GHrWzh+6RTC10YhzynA4OAg3nzzTbz00ktpuCdExNAS2YUkSfB4PLpvkhBRbqmpqUFDQwO6urqAwgrAdwFvHzqDZffMRqk3+d3FBv1jeOujM7G/eCsAScLSpUsZLiciIiIiIttZsmQJ7rnnHpw5c2baudbWVsuF6lRVFYbKMr0QLtNNdbn+2Z0oVBcIBBAMBqcsiGLwyr5EC9sURUE0GmVTHQllIlTX29urGdYCpjfVFRcXC8cZGhpiqE5HKk11DocDJSUlmiElhuqMIQrVFRYWWvYzZobqckuigQ821ZHdiEJ1Pp8PV65cyanfgUS/m7OpThyqGxgYQCQSgdPpFN5WVVXbhOqOHDli6viffvqpqeNnwujoqOZxq4bOZgrV3YlNdWQFubtFGhGRyURhpt3PvIpHG1ZpBuomGw8z7X7mVSyZtwiIqghfG4WqRCfCTER6Ojo60NbWBqhAeDA48Rjc9sSWuAJ1k832lmDbE1tuPxYHg4AKHDp0CB0dHSbdAyISGQ8tFRcXw+PxWPbDDiIionFPPvlk7A/eOYBcCH8wjN3/1IMxJZLUeGNKBLv/qQcjY2FALgQK50y9DhERERERkY1IkoR169Zpnvvggw8QiST3u5NZxsbGhHPKdFOdaCGe0U11DNVpE4XqgOltdaKmusrK1JvtyVx6C9vGxsYYqiOhTITquru7NY/LsoxFixZNOaYXmjNzjtlAFH6LN/gk+jqG6owheh1k5QCD3tyMfl2XjFSCpDRdIoGPwsLCjIcqiRK1ZMkS4bmenp40ziTz9ILeuU4UqotGo7h27ZrubQcHB4XBpKqqqpTnZqTe3l5bj59u4xvva8mWUJ2oqY6hOkonhuqIiEzAMBNZwbvvvgsAiPhDUEMRFOYX4IV1zyFPdic1Xp7sxgvrnkNBngdqKIKIPwQA2L9/v2FzJiIiIqLs1NTUhNWrVwOSBMyuASQnui/68J1/OIZBv/abpCKD/jF85x+OofuiD5Cct8aT0NzcjOXLl5syfyIiIiIiIrOJQnXXrl0zfRfvROktZM50qE60EC9dTXWZvv+Zlkiojk119qW3cG9kZARXr17VPMd/W8pEqK6rq0vzeG1tLWRZnnKMobrkiVq7GKqzBtHrICsHGPTmZvTrumSk+pinqRJpnluwYAE3HSbbueuuu1BeXq55LtdCdWyqExOF6gCgv79f97ailjrAek11ogCVUUQBNLtSFAWqqmqe0wuvZZJRTXVWDQ1SdmKojojIBAwzUab19fXFPiBQgehw7PHy9NeeSDjUeafZ3hJ8c/UfArg1rgocO3YMZ8+eTXnORERERJTdnn/+eZSWlgJyPlB270Sw7k/+phM/++IKwpGo7u3DkSh+9sUV/MnfdN4O1JXdC8j5KC0txebNm9N0T4iIiIiIiIz36KOPCndgbm1tTfNs9Pn9fuG5TIfKRAvxjF58Lfoe5HpTXWlpqfDc5FCdqqpsqrMxvd3iz549K1zwx6Y6EoXWxsbGTFtcK2qqa2homHYsPz8fbrf2mg6G6vSl2tol+jqG6oxhx1YgvblluqkuGo2yqc5giQQ+rBYOIYpXXV2d5vFcC9XZ8WdSuoiCl0DyoTqXy2W537HNbh/LtiCWXkjQqveVTXVkRwzVEREZjGEmsoK2tjYAQHRUgRpRMauwGI/UPWjI2I/UPYiSgiKoERXRYHjK9YiIiIiIRIqKirBz587YAkt3IVBeB8iFGBkL4y//+QT+jzc78PZHp3G49xou3xjFjZEQLt8YxeHea3j7o9P4P97swF/+8wmMjIUB+dbt3YXwer3YuXNnzi9cJCIiIiIieysoKMCaNWs0z33ve9+Dw+GAx+PB/fffj+eeew779u1DKBRK8yxj9EJ1mV4IJwrVGb34WtRUl+u/m8qyjOLiYs1zg4ODE3++ceOG8PHLNjPr01vYdubMGeE5huooE01woqa6+vp6zeOiOfp8PsPmlI1EASM21VmDHQMMbrcbDof20tZMh+qGh4eFAXKG6pJTVVUV99cm0mpHZCUM1cWwqU5MlmVh+3uyobp58+bB6XSmPDcj1dbW2nr8dMuFUB2b6sgKGKojIjIYw0xkBb29vQCAaDACAFi1pAkup8uQsV1OFx6+9ZiOjoanXI+IiIiISE9NTQ127dp1u7GufAlQUgU4ZdwMhPDekYvY9Y9f4j+8dQT/9v/9Ff7DW0ew6x+/xHtHLuJmIAQ45djXly+ZaKjbtWsXampqMn3XiIiIiIiIUvY7v/M7msdVVYWqqggGg/j888/x9ttvY+PGjViwYAFee+01KIqS1nlaualOtDjc6KY6hurERIsAJzfViVrqADbV2YHewjZRqE5vgSjljnSH6sbGxnDy5EnNc1pNdYB4jmyq03fjxg3N4wzVWYMdQ3WSJAnnl+lQnejxDjBUlyyPx6Pb0DQZm+rIrhiqi7Hjz6R0qqio0Dw+U6juwoULmscTCS2ny/Lly00df9myZaaOn252DNU5HA5hAzib6siqGKojIjIYw0yUaaqq4tSpU7E/K7HHYe28hYZe496590wZ/+TJk8KduIiIiIiIJqupqUFLSwuam5sBSQK8FUDFV4DShUBBGSAXAJIDgBT7f7kgdrx0YezrvBWAJKG5uRktLS0M1BERERERUVbo7u7GX//1Xyd0m/7+fmzbtg0rVqxAd3e3STObTrQITpIk3d2o00G0u326QnWZDhVaQTyhusuXLwtvL1pESNaRTFPd3LlzIUmSWVMim0h3qO7EiROIRCKa5xJtqmOoTmxsbExzcSwQf8BIFKrTCy9R/ESv3azeCpSuzRISpfe4jDdIStPFG5ZjqI7sShSqO3funO7GNdmGTXX6kg3ViZrqrPic+fjjj9t6/HQTvc4GrBuqA8RtdYmE6qx8/yj7GJPyICIiAJkNM/FDCBo3Ojo68cu2qkQBAHeXzTf0GgvKq6aM7/f7EQwGM/5hORERERHZQ1FREV566SU0Nzdj//79OHbsGOCZHfvfDJYuXYonn3zS9F3siIiIiIiI0uXw4cNYu3YtfD5fUrfv7OzEypUr8f7772PVqlUGz2460YK/wsJCOByZ3ddXtBDP6EYT0feATXWphepKS0u5E7kNJNNUN2/ePLOmQzai9xxpRmitq6tL87jL5cLixYs1zzFUlzi9Njk21VmDKMBg9VYgOzbVMVSXvLvvvhudnZ0zft2CBQvSMBsi44lCdUCsVKGxsTGNs8kcNtXpy4VQ3fr161FRUTHjfUpGZWUl1q9fb/i4mWTHpjogFqrT+h1KK1Qnuo98f4jSiaE6IiIDMcxEVhAOh2//5VZ5XL6sXaecrInxJpXTKYrCxyERERERJaSpqQlNTU04e/Ys2tra0Nvbi5MnT05ZnOj1erF48WLU1tZi9erVqK6uzuCMiYiIiIiIjNXd3Z1SoG6cz+fD2rVr8fHHHwvbd4yiF6rLtHQ1moia6hiqiy9Ud+XKFc2vmTt3rilzImMl21RH5HQ6UVRUpPkcakZoTdTiWltbC7db+/NzhuoSpxd8S7WpjqE6Y9g1wJCuzRISJXpcFhcXw+l0pncyWSTesJwVAyJE8aiurkZeXp5mI1NPT0/OhOrYVKcvF0J1brcbL774IrZt22b42Fu3bhW+zrcrvVCdldfqsqmO7IahOiIiAzHMRFbgck368S4BUIGgEjL0GhPjTSpIlGXZ0GsQERERUe6orq7Gpk2bAMQawIPBIBRFgSzLyM/PZzM3ERERERFlJUVR8Mwzz6QcqBvn8/mwadMmtLe3m/qevWghs9frNe2a8RItxEtXqM4K34NMS6WprrKy0pQ5kbFcLhecTicikci0c319fZq3YVMdjSspKUlbqE7UVKcXPi8uLtY8zlCdGJvqrM+uobp0bZaQKFFTXbwhUtIWb/DDigERong4nU7U1tbiiy++mHaup6cnAzPKDLv+TEqXZEJ10WgUFy5c0Dxn1efMrVu34qc//WlcDaXxamxsxNatWw0bzyr0QnVWbnJLJFTHpjqyAkemJ0BElE2mhZnAMBOln8fjmfjQVpJjP+rPX7to6DXODVyYMr7X6+XOEERERERkCEmS4PF4UFxcDI/Hw0AdERERERFlrT179uCzzz4zdMzOzk7s2bPH0DHvJGqqs0KgLF2NJqLvAZvq2FSXK0SL20Q7zDNUR+PS2QQnaqpraGgQ3oZNdYkTBYycTmfcC+QZqjOXXQMMovlluqlO9JiPN0RK2uIJfpSVlXHTebK1uro6zeO5FKpjU52+ZEJ1165dQyikvUa5qqrKkHkZTZZl7N27V7ihRaJKSkqwd+/erFxHLQqcybJs6YZcNtWR3TBUR0RkIIaZyAokScKiRYtif5ZjL5x7L5029BonLp+ZMv7ixYu52JmIiIiIiIiIiIiIKE6hUAivv/66KWPv2bNHuKDKCKJAmRUWZqer0UTUVMdQHZvqckWiO8YzMEnj0hVaC4VCOHHihOY5vaY6huoSJwq+zZ49O+41BKIwUjAY1G3noPiIQmhWDzDYLVTHprrUxPNaoaioyNTfc4jMluuhumg0qhmoAazxfoIViEJ1V69eRTQa1Tx3/vx54XhWbaoDYq/J33///ZSDdSUlJWhtbdV9jW9notfCVl8zzqY6shuG6oiIDMQwE1lFbW0tAMCRH3ucHD7egXAkbMjY4UgYv+z5JDa+xzXlekRERERERERERERENLMDBw7o7jSeiitXruDAgQOmjA3Ys6kuEAhAVVXDrsNQnVhpaanmcTbVZZdEF/CxqY7GpSu0duLECYTD2p+Ps6nOWEa0dul9Lb/3qRNtLmD1AEO6GogTpRckpcQpioLXXnsNGzZsmPFrz5w5gwULFuC1116DoihpmB2RsUShut7eXkQikTTPJv1EgTrA+kHvdBGF6iKRCAYHBzXPiUJ1sixjzpw5hs3NDKtWrcLHH3+MxsbGpG7f2NiIw4cPY9WqVQbPzDpE/91kS6guHA4LA6NWv4+UXRiqIyIyGMNMZAWrV68GADg8MiSnhJsjPvzi1mMnVb/o+QRDgWFITgmOfNeU6xERERERERERERER0cw++OAD244vWshshVCdaHF4JBIxrNUiEokIF6db4XuQaaKmusHBwYmFUmyqs79Ed4xnqI7GpSu01t3drXnc6XTi3nvvFd5OND+fz2fIvLKREQEjva8VjU/xE712s3qoLl0NxIliU51xuru7sWLFCmzbtg0DAwNx3aa/vx/btm3DihUrhM/1RFYlCtWNjY3h7NmzaZ5N+uk9fzNUFyMK1QEQbswkCtVVVVXB4bB+TKS+vh7t7e3YvXu37v2/0ze+8Q20t7dnbUPduGxvqtNrpWZTHaWT9Z8tiYhshmEmsoKamprYDnsS4ChyAwD+7ufv4YY/tQ8jbviH8JO2/QBujSsBS5cuRXV1dcpzJiIiIiIiIiIiIiLKFUeOHDF1/E8//dS0se3YVAcYtwBbrx2FTXXiUF00GsXQ0BCCwaAwIMGmOvtIdAEf/21pXLpCdV1dXZrH7733XrjdbuHt2FSXONFzulFNdQzVpS7bQnWZbqozop2RgMOHD2PlypXo7OxM6vadnZ1YuXIlDh8+bPDMiMyzZMkS4bmenp40ziQz9J6/rf4zKV30muVEoboLFy5oHr/77rsNmVM6yLKMl19+GefOncM777yDZ599Fvfff78wmAXE3v+RZTmNs8wMUehM73tjBfGG6sbGxoRjWD04SNmFoToiIoMxzERW8eSTTwIAnF43JLcTI8EAftj6FsaU5HZiHVNC+GHrWwiMjUJyO+H0uqdch4iIiIiIiIiIiIiI4tPb22vb8UWhOissgktHqG54eFh4jqE6cagOAK5fv44rV64Iz7Opzj4S2TFelmXdxwXllkw31TU0NOjeTq+pTlXVlOeVjYwIGBUWFsLpdGqeY6gudXYN1Yle12U6VGdEO2Ou6+7uxtq1a1NuAfX5fFi7di0b68g2CgsLsWDBAs1zuRCqY1PdzPLy8oQ/T5JpqrMbt9uNDRs24K233sKvf/1rBAIBfOtb39L82oMHD6Z5dpnBpjqi9GCojojIBAwzkRU0NTXFmgwlwFWaDzgkHL90Crvfa0k45HnDP4Td77Xg+KVTgEOKjScBzc3NWL58uUn3gIiIiIiIiIiIiIgoO+ntxGwEvUUpqRItZLZCU53e4nCjFmAzVKcvlVAd28zsI5HFbfPmzYMkSSbOhuwk00119fX1urcTzS8SiWQ8yGNVRgSMJEkShvBEoT2Kj6qqwseu1QMMdmuqY6guPoqi4Jlnnkk5UDfO5/Nh06ZNUBTFkPGIzFZXV6d5PBdCdWyqi09FRYXm8URDdXZqqtOzZs0azeN9fX04c+ZMmmeTftkeqmNTHVkFQ3VERCZgmIms4vnnn0dpaSkk2QFXmWfisfjy3u/ho67DCEfCurcPR8L4qOswXt77vduPwTIPJNmB0tJSbN68OU33hIiIiIiIiIiIiIgoe5i927KZC09ETXVWCNWlo6lOdP8Ba3wPMq2oqAgul0vz3PXr13H58mXNc3l5ecIwC1lPIs8x8+bNM3EmZDfpCNUpiiJsbE22qQ4wPviXLYxoqtP7ejbVpWZsbEzYsmj1AINofka9pkuWUY/5XLVnzx589tlnho7Z2dmJPXv2GDomkVlyOVTHprr4MFQ31aOPPio8lwttddkeqmNTHVkFQ3VERCZhmImsoKioCDt37oTX64Ujzwl5TgEktxOBsVH86Gc/wZ++9Sp+0rYfn5z4DFduDuDmyBCu3BzAJyc+w0/a9uNP33oVP/rZTyZaEuU5BXDkOeH1erFz507uuEpERERERERERERElITa2lrbji8KlVlhYXY6QnV6TXUM1cXahkRtdXpNdXPnzmWbmY0ksriNDYQ0WTpCdSdPnkQ4rL0eY6amuuLiYuE5huq0GdFUBzBUZxY7twJZsalOVVU21aUgFArh9ddfN2XsPXv2IBQKmTI2kZFyOVQnev7Oy8uD0+lM82ysK5FQXSQSwcWLFzW/PltCdXfddRfuv/9+zXMM1VkXm+rIbrS3ByMiopSNh5m2b98OP/yQ5xQgPBicCDO988t/xMN1D+LeufdgQXkV8mU3gkoI5wYu4MTlM/hlzycYCsQ+lJPcTrhK8yHJDoaZKGE1NTXYtWsXduzYgcHBQchzChDxhxAdDmEoMIzWzn/Vvb3klOAocsPpdQMSUFpaip07d6KmpiY9d4CIiIiIiIiIiIiIKMssX74cn3/+uWnjL1u2zLSxrdxUl5eXB4fDgWg0Ou2cUQuwRaG6wsJCOBzc1xiILXrTWvB3/fp1DA4Oat6msrLS7GmRgdhUR8lKR6iuq6tL87jT6ZwxdM6musSJQm9sqrMGO4fqRJslZDJUNzo6CkVRNM8xVDezAwcOCJuWUnXlyhUcOHAAGzZsMGV8IqOIQnUDAwO4fv26cIOSbCDa6IYtdVMlEqq7evWqcDOJqqoqQ+eVSWvWrMHRo0enHf/www+hqmpWb9BzZwhtnNUDZ2yqI7thqI6IyEQMM5FV1NTUoKWlBW+++SYOHToE563HVTQYRnQ0DFWJQFWigApAAiTZAUl2wuFxwZHvAm793tHc3IzNmzcz1ElERERERERERERElILHH38cb7/9tqnjm0W0kNkKoTpJklBQUKAZ/DO7qc4K998q9JrqRAup2WZmL4ksbmOojiYThdaCwSBCoRDcbnfK1+ju7tY8vnjx4hkfuwUFBXA6nYhEItPOMVSnTdTaxVCdNdg5VGfFpjrR4x1gqC4eH3zwgenjM1RHVicK1QHA8ePHsWrVqjTOJr1Ez99W/3mUbomE6s6fPy8cJ1ua6gDgsccew1/8xV9MO37p0iWcOHFixo0z7EwUOhOF1qzCiKY6huoonbhNGhGRycbDTM3NzYAEOIvckOd64SrzwFEoQ3I7JgJLkADJ7YCjUIarzAN5rhfOoligrrm5GS0tLQzUUdKKiorw0ksv4Tvf+Q6WLl0KSIDD44KrNB9yRSHcVUVw310Ed1UR5IpCuErz4fDEAnVLly7Fjh078NJLL2UsUKeqKgKBAHw+HwKBAFRVzcg8iIiIiIiIiIiIiIhStX79euFCqVRVVlZi/fr1powNWLupDhDvcm9UqE50/7kh4W16obrLly9rnmNTnb0ksis+A5M0WTqa4ERNdfX19TPeVpKktLTpZQtVVYWht0QDRgzVmUMvgGb1ZiBRyCKT60X0QnWJBklz0ZEjR0wd/9NPPzV1fCIjVFZWori4WPNcT09PmmeTXmyqi4/ovaIrV65MOyYK1eXn56OsrMzQeWXS6tWr4XBoR14OHjyY5tmklyhUl+1NdbIsC//NiczApjoiojQYDzM1Nzdj//79OHbsWKwBzDPz0/DSpUvx5JNPYvny5WmYKeWCpqYmNDU14ezZs2hra0Nvby9Onjw55UNgr9eLxYsXo7a2FqtXr0Z1dXVG5trX1zcxx1OnTk2b46JFi1BbW4vm5uaMzZGIiIiIiIiIiIiIKFFutxsvvvgitm3bZvjYW7duNaTpQBDJVAABAABJREFUR4uqqsJQmVV2lze71UTUVMdQ3W2iUN3g4KDmQkCAwSu7YVMdJWumUF15eXnK1xA11TU0NMR1+5KSEgwODk477vP5UppXNvL7/ZqtfkDiASNRCI+hutTobSpgldduIqL5RSIRhEKhjLSXsKkuNb29vbYen8gIkiShrq4On3zyybRzX375ZQZmlD5sqouPKFR39epVqKoKSZImjolCdVVVVVO+zu5KSkrQ2NioGc7+8MMPsXnz5gzMKj2yPVQnaqpjSx2lG0N1RERpZKcwE2W/6upqbNq0CUDsQ/BgMAhFUSDLMvLz8zP6i1VHRwfeffdd4S6CQOwN+qNHj+Lo0aPYt28fGhoa8NRTTzGASkRERERERERERES2sHXrVvz0pz9FZ2enYWM2NjZi69atho13p9HRUWEzSK401TFUNzM21WU/huooWWY31YXDYRw/flzzXDxNdYB4jmyqm04v8MamOmsQBRjcbjdcLmsvHdVrLhoZGcnIYmvR49Hj8XDxdxxEC+eNIgoeEFmNKFTHpjoCxKE6RVFw48YNlJaWThy7cOGC5tfefffdpswtkx577DHNUN1HH300LWyYTbI9VGfX+0fZx9q/GRERZSkrh5koN0mSBI/HI3wxmy7Dw8N444030NbWFjugAtFRBdFgBKoSgapEARWABEiyA5LshCPfCYdHRldXF7q6utDc3IzNmzfzw2siIiIiIiIiIiIisjRZlrF3716sXLnSkPabkpIS7N27F7IsGzA7bXptb1YP1ZndVGeV+28FolDdtWvX0N/fr3mOTXX2ksgCN/7b0mTFxcXCc0aE1k6ePAlFUTTPMVRnPL3AW6JNdQzVmcPOrUB6cwwEAlNCBWYLhUI4cOAAWlpaNM9LkoR9+/Zh/fr1pjVGZ4O8vDxTg29cgE92UVdXp3k820N1dv6ZlE6iUB0A9Pf3T/n5p9dUl23WrFmD1157bdrxq1evoru7O+5Waruxa+iMTXVkN45MT4CIKNeNh5mKi4vh8XgYqKOc1dfXhy1btsQCdSoQGQ5BuexH+HoQ0REFauhWoA4AVEANRREdURC+HoRy2Y/IcAhQgUOHDmHLli3o6+vL5N0hIiIiIiIiIiIiIppRfX093n//fd2QQTxKSkrQ2toad2AgWX6/X3jOKqEy0YI8o5rqRN8DbvZ3myhUd+LECYTDYc1zbKqzl3gXuLnd7rSGHsj6nE6n8OeFEaG17u5uzeMOhwNLliyJawyG6uJ348YN4TmjQnV616CZ2TnAoDdHozZLmImiKHjttdewYMECbNy48fYG0XcIBALYuHEjFixYgNdee00Y7s11tbW1th6fyCiiUN3p06dNb3TMJDbVxWemUN1kolBdNjbVPfLII8KW3Q8//DDNs0mfO0No4+wcqlNVdeLvouc8q98/yj4M1REREVHG9fX1Yfv27RgcHISqRKFcDSBycwxqREVJQRHWNf4mvv27f4z/+9//F/zVH/9f+L///X/Bt3/3j7Gu8TdRUlAENaIicnMMytUAVCWKwcFBbN++ncE6IiIiIiIiIiIiIrK8VatW4eOPP0ZjY2NSt29sbMThw4exatUqg2c2nV6oziqLs0UL8owK1Yma6hiqu00UqtNbAM82M3uJd4HbvHnzuKksTWNmaK2rq0vz+KJFi+J+3DJUFz9Ri1xBQUHCbV16TXWTF95SYkQ/e+0QYNCbYzpCdd3d3VixYgW2bdsmbNq9U39/P7Zt24YVK1YIQ765bPny5aaOv2zZMlPHJzKKKFQXjUZx8uTJNM8mfRiqi09+fr5w46VcDtV5vV40NTVpnjt48GCaZ5M+oqY6UWjNKkTzi0ajUzYfEN0/NtVRujFUR0RERBk1PDyMHTt2wO/3IzoWiQXjQhEU5hfgj7/+Tfzlc/8V31z9h2ha/AAqZ5VjVmEJKmeVo2nxA/jm6j/EXz73X/HHX/8mCvMLoIZit4+OReD3+7Fjxw7hh9tERERERERERERERFZRX1+P9vZ27N69W3dX8skqKyuxe/dutLe3m95QN05vAbNVmupEC/KMWnwt+tzBKvffCkShOhFJkjBnzhyTZkNmiHeBG8OSpMXM0JooxNLQ0BD3GKJFzAzVTSdqkUu0pU7vNqFQSLjYlmYmCjBYZTMEPZlsqjt8+DBWrlyJzs7OpG7f2dmJlStX4vDhwwbPzN4ef/xxW49PZJRFixbB6XRqnuvp6UnzbNLHzu2p6SZ6X2hyqC4cDuPSpUuaX5eNoToAeOyxxzSPHzp0CNFoNM2zSQ/R62CrN7nphf4mt++xqY6sgqE6IiIiyqg33nhjoqEufG0UiKpYMm8Rdj/zKh5tWAWXU7u2e5zL6cKjDauw+5lXsWTeIiCqInxtdKKx7s0330zTPSEiIiIiIiIiIiIiSp4sy3j55Zdx7tw5vPPOO3j22WdRU1Oj+bUOhwMnT57Eyy+/DFmW0zZHUVOdw+GwzIIX0YI8o5rqRN8DNtXdlmiorqysLK2PY0pdvKG6efPmmTwTsqNMNNUlEj5nU138RE11s2fPTngsvSCe6Do0MzsHGNxuN1wu7fUiRr2u09Ld3Y21a9fC5/OlNI7P58PatWvZWDfJ+vXr495AJFGVlZVYv369KWMTGc3tdmPRokWa57I5VMemuvjFE6q7cuWKMEhWVVVlyrwybc2aNZrHBwcH8fnnn6d5NumR7aE6NtWRVTBUR0RERBnT0dGBtrY2QAXCg8GJQN22J7Zgtlf7wwqR2d4SbHtiy+1g3WAQUGM7kXR0dJh0D4iIiIiIiIiIiIiIjOV2u7Fhwwa89dZb+F//639pfk00GsX58+fTPDNxoKywsBCSJKV5NtpEC/KMWnwtaqpjqO62REN1lZWVJs2EzBLvAj6G6kiLWaG1cDiM48ePa55LpKmOobr4icJuRjbV6V2HZmbnUB0gnqdZTXWKouCZZ55JOVA3zufzYdOmTVAUxZDx7M7tduPFF180ZeytW7fC7XabMjaRGerq6jSPZ3Oozu4/k9IpnlCd3ntC2dpUt2rVKuFz/Ycffpjm2aRHtofq2FRHVsFQHREREWXMu+++CwCI+ENQQxEU5hfghXXPIU9O7o2uPNmNF9Y9h4I8D9RQBBF/CACwf/9+w+ZMRERERERERERERJQuixcvhsOh/bF+JhbbiUJ1Xq83zTMRE4XqjFp8zVDdzEpLSxP6+rlz55o0EzJLvLvG89+WtJgVWjt9+jRCoZDmOTbVmePGjRuaxxmqsw67BxjMfl13pz179uCzzz4zdMzOzk7s2bPH0DHtbOvWrWhsbDR0zMbGRmzdutXQMYnMlouhOjbVxS+VUF1BQUFSrcF24PF4sHLlSs1zBw8eTPNs0iPbQ3VsqiOrYKiOKEepqopAIACfz4dAIABVVTM9JSLKMX19fejq6gJUIDoc+3Dj6a89kXBD3Z1me0vwzdV/CODWuCpw7NgxnD17NuU5ExERERERERERERGlU15eHhYuXKh5LhOL7UQLmK0UqhMtEje7qc5K34NMk2U5oZAhm+rsh011lAqzQmtdXV2axx0OB5YsWRL3OKL5GdVclU1EYbdkFnIXFBTA5XIldB2amd1DdelsqguFQnj99dcNHxeIhfVEod9cI8sy9u7di+LiYkPGKykpwd69eyHLsiHjEaXLfffdp3m8p6cna9fy2v1nUjqlEqq7++67IUmSKfOygjVr1mgeb2trQzgcTvNszDc5gDZZtoTq2FRHVsFQHVEO6evrw49//GO8+uqrePrpp/GNb3wD3/zmN/GNb3wDTz/9NF599VX8+Mc/ZvCEiNKira0NABAdVaBGVMwqLMYjdQ8aMvYjdQ+ipKAIakRFNBiecj0iIiIiIiIiIiIiIjsRBQHYVKdNtMu9UaE60feATXVT3XXXXXF/LdvM7CfeXeMZqiMtZoXquru7NY8vXLhQd1HnnfTml62L3JNlZFOdJEnCMB5DdcmzeyuQ2ZslTHbgwIEpYQUjXblyBQcOHDBlbDuqr6/H+++/n3KwrqSkBK2trQm1kRJZhaipzu/349KlS2meTXrY/WdSOsUTqrtw4YLm19x9992mzMkqRKE6n8+Hzs7ONM/GfGyqI0oPhuqIckBHRwdeeeUVvPDCC9i3bx+OHj067cMev9+Po0ePYt++fdiyZQteeeUVHDlyJEMzJqJc0NvbCwCIBiMAgFVLmuByau88lyiX04WHbwX0oqPhKdcjIiIiIiIiIiIiIrIT0WI7K4XqrLSzvGhBnhGNJtFolKG6OCUSqmNTnf3Eu4CPgUnSku6mukTDFqL5KYoiXPSZq4xsqgPEYTyG6pJn91agdDbVffDBB4aPmc7x7WbVqlX4+OOP0djYmNTtGxsbcfjwYaxatcrgmRGlh16LbiZ+108Hu/9MSie9UN34Jg+iprqqqirT5mUFDz30kDCwdfDgwTTPxlzhcFjYvpfIpiGZIMsyHA7tmBKb6siKGKojymLDw8P4/ve/j+9+97uxNw9VIBpQEB4MQukfQejCMELnhxG6MAylfwThwSCiAQVQY2827ty5Ez/4wQ8wPDyc6btCRFlGVVWcOnUq9mclFqqrnbfQ0GvcO/eeKeOfPHmSOwcSERERERERERERke3oherS/b63aBGclZrqzGw00VvAzVDdVGyqy25sqqNUpLuprqGhIaFxRPMDUp9jthGF3ZJpqtO7HUN1ybN7gMHMzRLuZPbm859++qmp49tRfX092tvbsXv3bmGA5E6VlZXYvXs32tvb2VBHtjZ79mzh4z5bQ3VsqoufaOOZsbEx+Hw+AOJQXbY31eXl5eHhhx/WPJdtoTpR4AywfuhMkiRh8I9NdWRFDNURZam+vj5s2bIFbW1tgApEhkNQLvsRvh5EdESBGooC45+xqYAaiiI6oiB8PQjlsh+R4RCgAocOHcKWLVvQ19eXybtDRFlmdHR0YidXVYkCAO4um2/oNRaUV00Z3+/3c+dAIiIiIiIiIiIiIrIdUahuaGgI/f39aZ2LqKXNSqE60YI8I0J1epuRWul7YAVsqstu8Sxwy8vLS7qtirKbGaG6SCQiXIBuVFMdwFDdnW7cuKF53OhQneg6NDO7h+rM3CzhTr29vYaPmc7x7UqWZbz88ss4d+4c3nnnHTz77LO4//774fF4Jhbk33///Xj22Wfxzjvv4OzZs3j55Zchy3Kmp06UMiu10ptNVVXb/0xKJ72g8fj7QLkaqgOANWvWaB7/+c9/jlAolObZmEdvravVQ3WAuE2PTXVkRa5MT4CIjNfX14ft27fD7/dDVaIIDwahhmJNTSUFRXi47kHUzluIu8vmI192I6iEcP7aRfReOo1f9nyCocAwIjfHEA2E4SrNx+DgILZv345du3ahpqYms3eOiLLClFrqWwHffNlt6DUmxpu0Sa+iKJavviYiIiIiIiIiIiIimky00A4Ajh8/ntZAkihUZ6VFcKK5GNFoIrr/AJvq7sSmuuwWzwK3uXPnQpKkNMyG7MaMUN3p06eFCzITDdUVFxcLzzFUN5WoQS7ZQC2b6oxn9wCDma/r7qTXBmMEbgKtz+12Y8OGDdiwYUOmp0KUNnV1dTh06NC049kYqlMUBZFIRPMcm+qmmylUV1NTgytXrmiez4VQ3WOPPaZ5PBAIoKOjQ9hkZze5EKpjUx1ZBUN1RFlmeHgYO3bsgN/vR3QsgvC1USCqojC/AE9/7Qk8UvcgXM7p/+lXzipH0+IH8I2Hfx+/6PkEf/fz9zASDEC5GoCrzAM//NixYwdaWlr4gRARpczlmvQ8JAFQgaBi7C4hE+NN+qyOO1URERERERERERERkd2UlZXhrrvuwvXr16ed6+npQXNzc9rmYvemOlVVUwr56DXV8TPUqdhUl93iWeA2b968NMyE7EgUqhsdHYWiKEl9ptvd3a15XJIk3XC6Fq/XC0mSoKrqtHMM1d0WDoeFPxeNbqpjqC55okY3uwQY0hmqy8vLMzX4ZofF70SUXrnUVKf3vG2XoHc6FRQUwOv1ar4H09/fj8uXL2u+VgVyI1S3bNky4ffn4MGDWROqmxw+u5MdXlewqY7sxJHpCRCRsd544w0MDg7GGupuBeqWzFuE3c+8ikcbVmkG6iZzOV14tGEVdj/zKpbMWwREVYSvjUJVohgcHMSbb76ZpntCRNnM4/FMfMAuybGXI+evXTT0GucGLkwZ3+v18sU2EREREREREREREdmSVRbbiRbC2SFUB6TeEKIXquNCwKniDdUVFBQwkGhD8XzmxlAdiYhCdUDyobWuri7N4/fcc0/C4SGHwyFsq2Oo7ja97wVDddZh96Y60X+/ZoTqamtrDR8zneMTkf2Ifs+/cOGC7u+ediQKeQP2CXqnm6itrr+/H+fPnxferqqqyqwpWYYsy/ja176mee7DDz9M82zMw6Y6ovRhqI4oi3R0dKCtrQ1QgfBgcCJQt+2JLZjtFb8pqWW2twTbnthyO1g3GARU4NChQ+jo6DDpHhBRrpAkCYsWLYr9WXYCAHovnTb0Gicun5ky/uLFi1PafZaIiIiIiIiIiIiIKFOsEqqzQ1Od3iLxVBdgi+6/x+OBy6W/uWmuiTdUV1lZyc9vbIhNdZQKM0J1oqa6hoaGpMYTzZGhutv0gm6zZ89OakyG6oxn91CdaJ564YxkLV++3PAxJ1u2bJmp4xOR/ei16R4/fjyNMzEfQ3WJSyZUV1RUpPtaO5s89thjmscPHz5savNsOundD1FgzUpSaapjqI7SjaE6oizy7rvvAgAi/hDUUASF+QV4Yd1zyJPdSY2XJ7vxwrrnUJDngRqKIOIPAQD2799v2JyJKHeN78LlyI+F3g4f70A4EjZk7HAkjF/2fBIb3+Oacj0iIiIiIiIiIiIiIruxeqjOSguz9RbkpboAW9QWwKa16eIN1c2dO9fkmZAZ4lngxn9bEklnU119fX1S44nm6PP5khovG924cUN4jk111hCNRqcsWp7MSq/d9IjmaUZT3eOPP274mOkcn4jsZ8GCBcK2qXT/rm82vedtu/xMSrdkQnV33323mVOylDVr1mgeHxsbQ3t7e5pnY45cbqqzw/2j7MJQHVGW6Ovri71JqALR4Vj47emvPZFwQ92dZntL8M3Vfwjg1rgqcOzYMZw9ezblORNRblu9ejUAwOGRITkl3Bzx4Re3gnCp+kXPJxgKDENySnDku6Zcj4iIiIiIiIiIiIjIbkShurNnz5rS1CFih6Y6huqsIZGmOrKfeBa4samORIqLi4XnkgnVRSIR4cJzNtWZRxR0kyRJ999Yj6jhjqG65Oi97rFLgEH0us6MUN369euFAYZUVVZWYv369aaMTUT25XA4sGTJEs1z2RaqY1Nd4kQ/k65cuYILFy5onsulUN0DDzwg3JDhww8/TO9kTCIKnDkcDrhcrjTPJnFsqiM7YaiOKEu0tbUBAKKjCtSIilmFxXik7kFDxn6k7kGUFBRBjaiIBsNTrkdElKyamprYhxgS4CiKNWr+3c/fww1/ah9E3PAP4SdtsUZNR5EbkIClS5eiuro65TkTEREREREREREREWWCKFSnqipOnDiRtnmIFjBbKVSnt0g81QXYolCdle6/VbCpLrvFs8CNoToScblcwufqZEJrfX19wgWnRjfVMVR3myjoVlJSAocjuSWJek11qqomNWYuy4YAQzqb6txuN1588UXDxwWArVu3wu12mzI2EdmbVVrpzSZ63nY4HAzPCCTTVFdVVWXmlCzF6XSiublZ89zBgwfTPBtz6LW4SZKU5tkkjk11ZCcM1RFlid7eXgBANBgBAKxa0gSX05gkusvpwsO3AnrR0fCU6xERpeLJJ58EADi9bkhuJ0aCAfyw9S2MKaGkxhtTQvhh61sIjI1Ccjvh9LqnXMcsqqoiEAjA5/MhEAjwDX0iIiIiIiIiIiIiMlRNTY1wIW46F9uJmuqs1HZiZlOd6P6zqW46NtVlt3gWvjIwSXqMDK11dXUJz4kWqs+EobqZ3bhxQ/O4KBgXD9FtFUWZsviW4qMXPLPSazc9onma1dS8detWNDY2GjpmY2Mjtm7dauiYRJQ9ciVUJ3reLigosEU4KBOSCdXlUlMdAKxZs0bz+K9+9StTAvjpJnr9a5fAGZvqyE6s3/1IRDNSVRWnTp2K/VmJhepq5y009Br3zr1nyvgnT56Eqqp8QUtEKWlqasLq1avR1tYGV2k+lKsBHL90Crvfa8EL657DbK/2hxVabviH8MPWt3D80inAIcFVmg9IQHNzM5YvX2743Pv6+tDW1obe3l6cOnVqygfpXq8XixYtQm1tLZqbm9mSR0REREREREREREQpcblcuPfeezWDA+labBeNRm3RVCfLMlwuF8Lh8LRzqS7AFjXVMVQ3XVFRkfDfYTIGr+xJkiS43W6EQuKNMtlUR3pKSkpw6dKlaceTCa11d3drHr/nnnuSDg4VFxdrHmeo7jZRU93s2bOTHlMvkHfz5k3btKtZRTaH6sxaKC/LMvbu3YuVK1fC5/OlPF5JSQn27t0LWZYNmB0RZSNRqO7EiRMIh8NwubJjmb/oedsuP48yQS9UJ3pvg6G6GEVR8Mtf/hK//du/neYZGcvuLW6phOrsch8pe7CpjigLjI6OToQ5VCUKALi7bL6h11hQXjVlfL/fL/yBTUSUiOeffx6lpaWQZAdcZR7AIeH4pVN4ee/38FHXYYQj+h+2hiNhfNR1GC/v/d7tQF2ZB5LsQGlpKTZv3mzofDs6OvDKK6/ghRdewL59+3D06NFpO9P6/X4cPXoU+/btw5YtW/DKK6/gyJEjhs6DiIiIiIiIiIiIiHLLkiVLNI+nK1Sn1xBjpVAdYN4CbIbq4idJUlxtdWyqsy+9nePz8/NTaqui7JeOprr6+vqExxrHprqZpbOpTu96JJYNoTpRkHJkZASqqppyzfr6erz//vvCcG28SkpK0NramtJzERFlP1GoLhQKoa+vL72TMZFeUx1pE4XqRkdHcfXqVc1zuRaqW7p0KcrKyjTPHTx4MM2zMZ5ojb4orGY18YTqRPeRTXWUbtkRYSfKcVN297v1fkG+7Db0GhPjTXo/QlEU2/xwJiLrKioqws6dO7F9+3b44Yc8pwDhwSACY6P40c9+gnd++Y94uO5B3Dv3Hiwor0K+7EZQCeHcwAWcuHwGv+z5BEOB2IfYktsJV2k+JNkBr9eLnTt3GvZB9vDwMN544w20tbXFDqhAdFRBNBiBqkRioWMVgARIsgOS7IQj3wmHR0ZXVxe6urrQ3NyMzZs388N1IiIiIiIiIiIiIkqYaLFdukJ1d24wN5nVQnUFBQWawYdUm+pE3wOr3X+ruOuuu9Df36/7NWyqs6dQKARJkoTnXS4X/uEf/gHr16+H223s2gXKDkaG1kRNdQ0NDQmPNY6huplloqmOEqMXqrPLei9R+E9VVQSDQdPux6pVq/Dxxx9j06ZN6OzsTPj2jY2N2Lt3LwN1RDSj2tpa4bmenh4sXrw4jbMxD5vqEicK1enJtVCdw+HAo48+in/4h3+Ydi6bQ3V2aXGbKVQXiUSm5h8msct9pOzBUB1RFphS8SwBUIGgEjL0GhPjTXpfnNX0RGSUmpoa7Nq1Czt27MDg4CDkOQWI+EOIDocwFBhGa+e/6t5eckpwFLnh9LoBCSgtLcXOnTtRU1NjyPz6+vom5gYVE3NTIxo7n6mAGopCDUURHVEgOccm5nbo0CF88cUXhs6NiIiIiIiIiIiIiHKDKFR3/PhxRKNROBwOU6+vF6qz2kI40W73qYbq2FSXGDbVZR9FUbBnzx68/vrr8Pl8wq/z+/3YuHEjKioq8OKLL2Lr1q1cX0BTGBVai0aj+PLLLzXPsanOXKKQWypNdfn5+XC73QiFpq95YqgucaLXPR6Px/TXjUbRe40ZCARMDQfW19ejvb0dDz30ED777LO4blNZWYmtW7fy5x4Rxa2goADV1dU4e/bstHM9PT343d/93QzMynhsqktcMqG6qqoqE2ZibWvWrNEM1R05cgQ+ny/l5tlMyvZQ3djYmPC2bKqjdGOojigLeDweeL1e+P1+SLIDaiiK89cuonJWuWHXODdwAUCsfQmI7bZolx/MRGQPNTU1aGlpwZtvvolDhw7BeSuIFg2GER0Ni9vgPC448l0ToV+j2+D6+vpiLXp+P1QlivBgEGooAgAoKSjCw3UPonbeQtxdNn+iRe/8tYvovXR6okUvcnMM0UAYrtJ8DA4OYvv27di1axeDdUREREREREREREQUN1GobnR0FOfPn0d1dbWp17dTU51oAbZeY0s8GKpLzEyhOofDgTlz5qRpNpSq7u7uhBt7+vv7sW3bNvz0pz9lYw9NYVRora+vb2JR5p3MCNXphUlzzY0bNzSPpxKqkyQJs2bNwtWrV6edY6gucdnQCqQ315GRkbgC/KmQZVn3NbDH40FtbS2WLVuGxx9/nA2tRJSU++67TxiqyxbZ8DMp3bxeLzwej/C17p1mzZplufdm0mHNmjWaxyORCH7+85/j3/ybf5PmGRknl0N1drmPlD0YqiPKApIkYdGiRTh69Cgk2Qk1FEXvpdNoWvyAYdc4cflM7FqyEwCwePFiSJKkdxMiooQVFRXhpZdeQnNzM/bv349jx47FQnOemV+yLF26FE8++SSWL19u2HyGh4exY8cO+P1+RMciCF8bBaIqCvML8PTXnsAjdQ/C5Zw+t8pZ5Wha/AC+8fDv4xc9n+Dvfv4eRoIBKFcDcJV54IcfO3bsQEtLCz9oJyIiIiIiIiIiIqK4LFmyRHiup6fH9FCdXiDNagu30t1UZ7X7bxUzLXQvLy+H0+lM02woFYcPH8batWuTDhR1dnZi5cqVeP/997Fq1SqDZ0d2ZFSorru7W3juvvvuS2isydhUNzNRyG327NkpjctQnXGyIcCg12CU6mYJ8bh+/TpOnDiheW7fvn146qmnTJ8DEWW/uro6fPDBB9OOZ1Oojk11iZMkCRUVFejr64vr6++++25zJ2RRdXV1qKysxJUrV6adO3jwoK1DdaJApV0CZzOF6kShQYBNdZR+9ujxJqIZ1dbWAgAc+bEPHQ4f70A4EjZk7HAkjF/2fBIb/1awZfx6RERmaGpqwq5du9DS0oKNGzfigQcemPaBtNfrxQMPPICNGzeipaUFu3btMjRQBwBvvPEGBgcHYw11twJ1S+Ytwu5nXsWjDas0A3WTuZwuPNqwCrufeRVL5i0CoirC10ahKlEMDg7izTffNHS+RERERERERERERJS9iouLMW/ePM1zx48fN/36opYOl8tluUYO0cK8VBdfi74H3EBP20yhurlz56ZpJpSK7u7ulAJ143w+H9auXasbgqLcYVRoraurS/N4dXV1SoFn0fyCwSBCoVDS42YTM5rq9G7PUF3isiFUpzfXVDdLiMcnn3wiPLdixQrTr09EuUHUSp9Nobps+JmUCRUVFXF/ba6G6iRJErbVffjhh2mejbHYVEeUPmyqI8oSq1evxr59++DwyJCcY7g54sMvej7Bow2p7/L2i55PMBQYhuSU4Mh3TVyPiMhs1dXV2LRpEwBAVVUEg0EoigJZlpGfn29qY2ZHRwfa2toAFQgPBicCddue2II8ObHFAbO9Jdj2xBbsfq8Fxy+dQngwCHlOAQ4dOoTm5mY0NTWZdC+IiIiIiIiIiIiIKJvU1dXh0qVL046nY7GdKFBWWFho6vv1yRAtzDOrqY6hOm3FxcW65wcGBrBv3z6sX7/ecsFMilEUBc8880zKgbpxPp8PmzZtQnt7O2RZNmRMsiezm+oaGhoSntNkovkBsTmWl5enNH42MKupTnR7huoSlw0Bhkw31bW3t2senzdvHqqqqky/PhHlBlGo7vr167h27RrKysrSPCPjsakuOYmE6nL559KaNWvw93//99OO//rXv8bg4CBKS0szMKvUiUJ1orCa1bCpjuyETXVEWaKmpib2pqAEOIpiHzj83c/fww1/Ym843umGfwg/adsP4Na4ErB06VJUV1enPGciokRIkgSPx4Pi4mJ4PB7TP6B/9913AQARfwhqKILC/AK8sO65hAN14/JkN15Y9xwK8jxQQxFE/LEdDPfv32/YnImIiIiIiIiIiIgou2VyB3vRwuVUmoDMIlqYx1BdeiiKgtdeew2vvfaa7tddvHgRGzduxIIFC/Daa69BUZQ0zZDitWfPHnz22WeGjtnZ2Yk9e/YYOibZj9mhuvr6+oTnNNlMoToSh9zYVGcd2RBgkGVZGMJOR6juV7/6leZxttQRkZFEv+cD2dNWlw0/kzKBTXXxeeyxxzSPq6oaK1WwKTbVEaUPQ3VEWeTJJ58EADi9bkhuJ0aCAfyw9S2MKaGkxhtTQvhh61sIjI1Ccjvh9LqnXIeIKFv19fWhq6sLUIHocOw59OmvPYHZXvGHJ/GY7S3BN1f/IYBb46rAsWPHcPbs2ZTnTERERERERERERETZL5OhOlFTnZ1CdaksvlZV1Vbfg0zp7u7GihUrsG3btrjbzfr7+7Ft2zasWLFCGJCh9AuFQnj99ddNGXvPnj0IhZJbx0DZwYhQXTQaNa2pTq9pk6G62EJY0SJYhuqsIxua6gDxfM0O1UWjUWGo7qGHHjL12kSUW+bMmSP8+Zctobps+ZmUbgzVxWfhwoXC+//hhx+meTbGyfZQHZvqyEoYqiPKIk1NTVi9ejUgAa7SfMAh4filU9j9XkvCjXU3/EPY/V4Ljl86BTik2HgS0NzcjOXLl5t0D4iIrGF8h5LoqAI1omJWYTEeqXvQkLEfqXsQJQVFUCMqosHwlOsREREREREREREREekRheouX75s+iJ/UaDMiovgRHNKpakuEAhAVVXNc2yqizl8+DBWrlyJzs7OpG7f2dmJlStX4vDhwwbPjJJx4MAB9Pf3mzL2lStXcODAAVPGJnsQheoCgUDcrZXnzp0TPq+n2lTHUJ0+vYDb7NmzUxpbFCq4ceNGSuPmomwJMJjxui4eJ06cED7W2VRHREaSJCmjG+ikA5vqklNZWRn31+ZyqE6SJKxZs0bz3MGDB9M8G+Nka6guFAohEonoNtUxVEfpxlAdUZZ5/vnnUVpaCkl2wFXmmQjWvbz3e/io6zDCkbDu7cORMD7qOoyX937vdqCuzANJdqC0tBSbN29O0z0hIsqc3t5eAEA0GAEArFrSBJfTZcjYLqcLD98K6EVHw1OuR0SUSaqqIhAIwOfz6S4QIiKyKj6PERERERFRLhAttAOA48ePm3ptO7W0iRbmpbL4enh4WHiOobpYQ93atWvjbqcT8fl8WLt2LRvrLOCDDz6w9fhkbaJQHYC4n0e6urqE5+67776E5zSZ0+kU/nxjqE4/4MamOuvI9lCd2U117e3tmsedTieWLVtm6rWJKPdke6guW34mpRub6uL32GOPaR4/duwYrl69mubZGGO80e1Odg/VAbHAoCg06HQ64XIZs1aXKF58xBFlmaKiIuzcuRPbt2+HH37IcwoQHgwiMDaKH/3sJ3jnl/+Ih+sexL1z78GC8irky24ElRDODVzAictn8MueTzAUiH0gJLmdcJXmQ5Id8Hq92LlzJz8QIqKsp6oqTp06FfuzEgvV1c5baOg17p17z5TxT548CVVVIUmSodchIppJX18f2tra0Nvbi1OnTk1ZGOX1erFo0SLU1taiubkZ1dXVGZwpEZE2Po8REREREVGumT9/PgoLCzUXpPX09ODBBx807dqiRXB2CtWlsviaoToxRVHwzDPPpByoG+fz+bBp0ya0t7dDlmVDxqTEHTlyxNTxP/30U1PHJ2vTC9UNDQ3hrrvumnEMUfh2wYIFhjwvl5SUaAbKGarLTFMdQ3WJy5YAgxmv6+Lxq1/9SvP40qVLbfc9JCLrE4XqvvzyyzTPxBxsqktOIqG6+fPnmzgT6xM11QHARx99hI0bN6ZxNsbI1qY6IBYYFDXV2eX+UXZhqI4oC9XU1GDXrl3YsWMHBgcHIc8pQMQfQnQ4hKHAMFo7/1X39pJTgqPIDafXDUhAaWkpdu7ciZqamvTcASKiDBodHZ34cERVogCAu8uM/aVzQXnVlPH9fj+CwaDuLxJEREbq6OjAu+++q7uLq9/vx9GjR3H06FHs27cPDQ0NeOqpp7B8+fI0zpSISBufx4iIiIiIKFc5HA7U1tbis88+m3bO7B3s7dRUJ1ronEpTnej+A9b8HqTTnj17NB+Tqejs7MSePXvw8ssvGzouxa+3t9fW45O1zRSqi4fovcH6+vqk5nSnkpISXLx4cdpxowLEdiYKuLnd7pQXwTJUZxxR6MxuAYZMNdWJQnUrVqww9bpElJtEobozZ84gGAzaPmSSLUHvdIs3VHfXXXfZ7ue70RYsWICFCxfi9OnT084dPHgwq0J1dlljOlOoTnT/8vLyzJoSkRBDdURZqqamBi0tLXjzzTdx6NAhOG+F5KLBMKKjYahKJBbmUAFIgCQ7IMlOODwuOPJdwK2ypObmZmzevDnnd1ckotwRDodv/0WN/V++7Db0GhPjqbePKYpim194iMi+hoeH8cYbb6CtrQ1A7GloSAnDF4kiEIliLBpFVAUcEpDncKDA6UCx04ES2YWuri50dXXx9SERZdSdz2NQVSB4Ewj6ACUAhIOxY5IEuPIBuQDILwbyZ/F5jIiIiIiIskZdXZ2lQnVWXAQnWkyWSqiOTXXaQqEQXn/9dVPG3rNnD7797W/D7Tb2cxqKj2jXeKOIFtBRbiguLhaeizdUJ2qqa2hoSGpOdxIF/9hUB9y4cUPz+KxZsyBJUkpj64XqVFVNeXwzhUIhHDhwAB988AGOHDmC3t5ejI2NIS8vD7W1tVi+fDkef/xxrF+/Pi0/20Sve6z42k2PGZslzCQQCODo0aOa5x566CHTrktEuUsUqlNVFSdOnMBXvvKVNM/IWGyqS068obq7777b5JnYw2OPPSYM1dlRrjbVMVRHmcBQHVEWKyoqwksvvYTm5mbs378fx44di4XmPDP/p7906VI8+eST3MGfiHKOyzXpOVICoAJBJWToNSbGm/R+vyzLhl6DiOhOfX19E03GKoCrIQUDoTCUqDrta6MqMBqJYjQSxXUA8piCcrcLc9wyDh06hC+++IJNxkSUdpOfx6CqgP8qMNIPRJTpX6yqsZCdEgAC1wCnDBRWAN45fB4jIiIiIiLbEy22Y1PdbWY0mohCdfn5+VM/W8gxBw4cQH9/vyljX7lyBQcOHMCGDRtMGZ/05eXlmRp8s8tCQDKHLMsoKCjQXGAdT2hNVVVhqM7IpjotDNWJW+Nmz56d8tiiUF0kEsHIyIglX3coioI9e/bg9ddf1/yZGAwG8fnnn+Pzzz/H22+/jYqKCrz44ovYunWrqesEsqUVKBNNdZ2dnYhEIprn2FRHRGZYuHAhXC7X1M3gb+np6bF9qC5bfialW3FxMfLy8mbc8IShupg1a9bgr//6r6cdP378OC5duoR58+ZlYFbJy/ZQnd3vH2WX3H1nlyiHNDU1oampCWfPnkVbWxt6e3tx8uTJKR98eb1eLF68GLW1tVi9ejWqq6szOGMioszxeDzwer3w+/2QZAfUUBTnr11E5axyw65xbuACgFhLKBB7DuYvA0Rkpr6+Pmzfvh1+vx/BaBRnR0MIRKIAAHdRMSqaVqBk4SIUzquCMy8PkbExjFy6gKHTp9Df0Y7QsA+XggpuKhFUe9wYHBzE9u3bsWvXLgZSiCgtJj+PQQkCN/oAJfbhy6wCN9bUl+O++cWoKStEvtuJYCiCvmsj+PKiDwe7B3AzEAJ8F4DRG8DsGj6PERERERGRrYlCdSdPnoSiKKYtzhYtgrPi4vZ0NtVZ8f6n0wcffGD6+AzVZUZtbS0+//xzU8en3FZSUpJ0qO7cuXPCn0sM1ZlPr6kuVXpj3Lx503I/d7u7u7Fp0yZ0dnbGfZv+/n5s27YNP/3pT7F3717DHrN3ypYAg+h1nZmhuvb2ds3jJSUlWLJkiWnXJaLcJcsyFi9erLlZjtkb6JgtGo0KwzNsqtMnSRIqKipw7tw53a+rqqpK04ysbc2aNcJzBw8exDe/+c00ziZ1dg+dsamO7IShOqIcUl1djU2bNgGI7doVDAYnPljLz8+HJEkzjEBElP0kScKiRYtw9OhRSLITaiiK3kun0bT4AcOuceLymdi1ZCcAYPHixXwOJiLTDA8PY8eOHfD7/RiJRHEqEEREBVwFBVj8BxtQ0bQCDo2dtAvK56D8/kYs/L0n0N/RjpP/cx8CgQB6R4JYVJAP+P3YsWMHWlpaUFRUlIF7RkS5YvLzGEIjwLUTgBqBN9+FZ5vvwZr6OXA5HVNvVAjMne3BynvL8G+/VoOD3Vfx9qEz8AdHgIEeoOxe+P3g8xgREREREdmSKFSnKArOnDljWlBF1FRnxYXZZoTqRPc/13+nPHLkiKnjf/rpp6aOT2LLly83NVS3bNky08YmeygpKcHly5enHY8ntCZqqQMYqksHM5vq9Ma4efOmpRaNHz58GGvXroXP50vq9p2dnVi5ciXef/99rFq1yuDZZU+oTjTfVF7XzeRXv/qV5vEHH3wQDodD8xwRUarq6uqyMlSn93xtt59JmRBPqI5NdTFz584V/ndkx1Dd6Oio5nG7hOr05smmOrIavsInylGSJMHj8aC4uBgej4dhDiKiScYXHDjyY6G3w8c7EI6EDRk7HAnjlz2fxMb3uKZcj4jIDG+88QYGBwcRjN4O1JUsXIwH/2wn5q58RDNQN5nD5cLclY/gwT/biZKFixFRgVOBIILRKAYHB/Hmm2+m6Z4QUa4afx6DEpwI1NXPL8Zf/ftGfP0rldMDdXdwOR34+lcq8Vf/vhH184sBNRIbRwnyeYyIiIiIiGzp3nvvFX62Z+ZiO1GozGqNMYB4YV4wGEQkEklqTFFTXa6H6np7e209Pok9/vjjth6frC+V0FpXV5fm8aqqKhQXF6c0r3GicRiqE4fqjGiqEz0u9K6bCd3d3SkF6sb5fD6sXbtWNyiaLFGozm6tQKLXdZloqnvooYdMuyYRkWgDnWwO1dntZ1ImVFRUzPg1DNXdJmqrO3jwYJpnkjq7h84cDoewdY5NdWQ1DNURERER3WH16tUAAIdHhuSUcHPEh1/cCsKl6hc9n2AoMAzJKcGR75pyPSIio3V0dKCtrQ0qgLOjoYlA3f3f+jbySmYlNFZeySzc/61vTwTrzo6GoAI4dOgQOjo6zJg+EdHE8xhUFbjRNxGo++5TS1HqTezN1FJvHr771NLbwbobfYCq8nmMiIiIiIhsx+PxoKamRvOcmYvtRAuXrRiq01uYJ9rpeyYM1WkTLYIyimgRGZlv/fr1cS3gTEZlZSXWr19vythkH6mE6kQBpIaGhpTmNBmb6sRu3LihedyIUF1+fr5wobBVQnWKouCZZ55JOVA3zufzYdOmTVAUxZDxxolCDHZrBRK9rjMrVHfx4kVcuHBB89yKFStMuSYREaAfqotGo2mejXH0nq/t9jMpExiqS4woVHf69GmcPXs2zbNJjej9EI/Hk+aZJE80VzbVkdUwVEdERER0h5qamtgHLhLgKHIDAP7u5+/hhj+1D0hu+Ifwk7b9AG6NKwFLly5FdXV1ynMmItLy7rvvAgCuhhQEIlG4CgrQ8OxmON3J7erjdOeh4dnNcHk8CESiGAjFPtzbv3+/YXMmIpps/HkM/quAMgJvvgvbfq8OebIzqfHyZCe2/V4dCvNcgDICjFwFwOcxIiIiIiKyH9Fiu+PHj5t2TTs11emF6vR2yddjp/ufTmbvIM7FVJnjdrvx4osvmjL21q1b4Xa7TRmb7MOMUF19fX1Kc5qMoToxUbht9uzZhowvCueJwnzptmfPHnz22WeGjtnZ2Yk9e/YYNl44HEYoFNI8Z7cAQ7qb6n71q18Jzz344IOmXJOICBD/nh8IBHDx4sU0z8Y4bKpLTVlZ2Yxf88UXXwh/7ueaRx99VHjOTm11qqoKNzGy0/skeqE6NtWRlTBUR0RERKThySefBAA4vW5IbidGggH8sPUtjCnJ/QI6poTww9a3EBgbheR2wul1T7kOEZHR+vr60NXVBRXAQCgMAFj8BxsSbqi7U17JLCx+YiMA4GooDBXAsWPHbLejExFZ3/jzGFQVGOkHADzbfE/CDXV3KvXm4blH74n9xd8PqCqfx4iIiIiIyHb0drA3iyhUZsWF2XpzSnYBNpvqtNXW1tp6fNK3detWNDY2GjpmY2Mjtm7dauiYZE/JhtZUVWVTXYaZ2VSnN44VmupCoRBef/11U8bes2ePYQvis6kVSDTfZDdKmIkoVLdo0SKUl5ebck0iIkD8ez5g7u/6ZmOoLjmKouC1117Df//v/33Gr33hhRewYMECvPbaa4Y339pNeXk5vvKVr2ies1OoThQ4A7I/VGen+0fZg6E6IiIiIg1NTU1YvXo1IAGu0nzAIeH4pVPY/V5Lwo11N/xD2P1eC45fOgU4pNh4EtDc3Izly5ebdA+IKNe1tbUBAIaUMJSoCndxMSqaVhgydkXTCriLiqFEVQwpkSnXIyIyysTzSvAmEFEwu9CNNfVzDBl7Tf0czCpwAxElNj74PEZERERERPYiWmz35ZdfQlVVw68XiUQwOjqqec6KTW1mNNUxVKfN7M85li1bZur4pE+WZezduxfFxcWGjFdSUoK9e/dClmVDxiN7Sza0duHCBeFzcjqa6nw+n2HXsCtRuC0XQnUHDhxAf3+/KWNfuXIFBw4cMGSsXAjVmdVU197ernn8oYceMuV6RETjSkpKMHfuXM1zdg7V6T1fM1Snrbu7GytWrMC2bduEr3vv1N/fj23btmHFihXCDShyxZo1azSPf/jhh6a8Z2aGYDAoPGen0JleqE50H9lUR5nAUB0RERGRwPPPP4/S0lJIsgOuMs9EsO7lvd/DR12HEY6EdW8fjoTxUddhvLz3e7cDdWUeSLIDpaWl2Lx5c5ruCRHlot7eXgCALxIFAFQsXwGHy2XI2A6XayKg54tEplyPiMgoE88rwdgilUfvK4fLacxbWS6nA2vqy6eMz+cxIiIiIiKyE1Go7saNG7h27Zrh19MLouV6qM6K9z+dHn/8cVuPTzOrr6/H+++/n3KwrqSkBK2trYaGnsjekg3VdXV1Cc/dd999Kc1pMtH8RkZGEA7rf06c7UThttmzZxsyvpVDdR988IEtxs+mAINovmaE6sLhMI4cOaJ5bsUKYzYvJSLSk4lWerOJfgfPy8uD0+lM82ys7/Dhw1i5ciU6OzuTun1nZydWrlyJw4cPGzwz+3jsscc0j1+4cAGnTp1K82ySkwuhOjbVkZUwVEdEREQkUFRUhJ07d8Lr9cKR54Q8pwCS24nA2Ch+9LOf4E/fehU/aduPT058his3B3BzZAhXbg7gkxOf4Sdt+/Gnb72KH/3sJwiMjUJyx27vyHPC6/Vi586dOb97LRGZR1XViTeCArdCdSULFxl6jZJ7FgIARm+Nf/LkSdvs6ERE1jf5eQxK7IOW++YbsyP6uLp5xVPG5/MYERERERHZiWihHWDOYju/3y88Z8VQmd5i8WQXYIu+B7n+Xv/69etRUVFhytiVlZVYv369KWNTYlatWoWPP/4YjY2NSd2+sbERhw8fxqpVqwyeGdlZsqE6UfPG/PnzDWtKA8TzA3K7rS4ajeZ0U50ocGWUTz/91JBx9DYRYFOd2LFjx4TfOzbVEVE6ZGOoTvR8bbefR+nQ3d2NtWvXpvxa0+fzYe3atTnbWLd69WpIkqR57uDBg2meTXJGR0eF5+wUOmNTHdkFQ3VEREREOmpqarBr166Jxjp5TgGcs/IgOSUMBYbR2vmv+H/+v7/Gf/wf/wXf+tGf4T/+j/+C/+f/+2u0dv4rhgLDkJwSnLPyYoG8Ww11u3btQk1NTabvGhFlsdHR0YlFPmPRWOitcF6VodconH83ACB4a3y/36+7UxIRUSImP48hHHtuqSkz9oOVe8oLp4zP5zEiIiIiIrKT8vJyYRtMukN1VlwI53Q6hYtwjG6qy/VQndvtxosvvmjK2Fu3boXb7TZlbEpcfX092tvbsXv37riDlJWVldi9ezfa29vZUEfTGN1UZ/RjTC9UN9Mcs9nw8LBwc7JcaKrr7e21xfh6gTMrvnbTI5pvIBAwfKO8X/3qV5rH8/Ly8MADDxh6LSIiLdkYqhP9Dm635lSzKYqCZ555xrDNG3w+HzZt2gRFUQwZz05mz56Nr371q5rnPvzwwzTPJjlsqiNKL4bqiIiIiGZQU1ODlpYWNDc3AxLgLHJDnuuFq8wDR6EMye0Axjc3kQDJ7YCjUIarzAN5rhfOIjcgAc3NzWhpaWGgjohMFw6HJ/4cvfVZktPgnXzGx4tO+qwqF9+MIyJzTH4ew60PxfPdTkOvMTHepA/d+TxGRERERER2IUkSlixZonnOjMV2eguzrdhUB4gX6DFUZ7ytW7cm3WAm0tjYiK1btxo6JqVOlmW8/PLLOHfuHN555x08++yzuP/+++HxeCBJEjweD+6//348++yzeOedd3D27Fm8/PLLkGU501MnCzK6qa6hoSHlOU3GUJ02vWCbUU11onCeFUJ1osW/RjFq4zfRazeHw2G79g+9EKBei0sy2tvbNY9/9atfZdCfiNJCFKq7dOmSbZty2VQXnz179uCzzz4zdMzOzk7s2bPH0DHt4rHHHtM8fvDgQcND+WbQe00oCqpZEZvqyC5cmZ4AERERkR0UFRXhpZdeQnNzM/bv349jx47B4XHB4Zn55dTSpUvx5JNPYvny5WmYKRER4HLdfm5ySLHgW8TgD/nGx3NIt49xYQQRGWXy8xgkCVBVBEMRwMDPVoKhyO3xb+HzGBERERER2UldXZ3mwl821cUUFhbixo0b047rBQT1iEJ1Vg0VppMsy9i7dy9WrlxpyELPkpIS7N27l7+nW5jb7caGDRuwYcOGTE+FbEwUWhsZGUE4HJ76HuEtqqoKQ3VGN9UVFxcLz+VyqE7rZ+s4o0J1Vm6qy8vLMyz4psWoZg69AIM06T1xO9BrMhoZGTG06UjUVLdixQrDrkFEpEcUqgOA48ePo6mpKY2zMQab6mYWCoXw+uuvmzL2nj178O1vfzvnwuFr1qzBD37wg2nH+/v70dPTg/vuuy8Ds4ofm+qI0otNdUREREQJaGpqwq5du9DS0oKNGzfigQcemPaBudfrxQMPPICNGzeipaUFu3btYqCOiNLK4/FMPDflOWK/9o1cumDoNUYungcA5N8a3+v18o0NIjLM5OcxuGLPLX3Xklv0KHJmYGTK+HweIyIiIiIiuxEttktnqE6WZcsuzDK6qU70PWBTXUx9fT3ef/993RBKPEpKStDa2mp4OIaIrEevCU4U0L148aLwnNHPG7IsCxeB5nKoLh1NdVYO1dXW1tpifFGozo4BBr0NHJJ9Xafl5s2b+PLLLzXPPfTQQ4Zdh4hIT1VVlfC52ozf9dOBTXUzO3DgAPr7+00Z+8qVKzhw4IApY1vZ1772NTidTs1zH374YZpnkzi9UJ2dmtzYVEd2waY6IiIioiRUV1dj06ZNAGI7IgaDQSiKAlmWkZ+fb7vd3Ygou0iShEWLFuHo0aMocDowGoli6PQplN/faNg1hs6cBgB4nLFQ3eLFi/ncR0SGmfw8BrkAUAL48qIPK+8tM+waPZduLb6RYx9M8XmMiIiIiIjsRhSqO3PmDILBoKEbh4gCZVZuaRMtREymqU5VVWFTHUN1t61atQoff/wxNm3ahM7OzoRv39jYiL179zJQR5Qj9EJ1Q0NDKC0tnXZc1FIHGB+qA2JzHB0dnXY8l0N1oqY6r9er2S6YDFGoTq8lL12WL1+Ozz//3LTxly1bZsg4orCZHQMMenNOtoFYS0dHh/Acm+qIKF0cDgeWLFmCzz77bNo5UfDX6thUN7MPPvjA9PFzrWW8qKgIy5cv12yhPXjwIL71rW9lYFbx0wuc2WlNA5vqyC7YVEdERESUAFVVEQgE4PP5EAgEoKoqJEmCx+NBcXExPB6PrX5xIaLsNb6TZfGt0Fv/kXZEw2FDxo6Gw+jvaL81vnPK9YiIjDLxvJIf2+H+oy8HEI5EDRk7HIniYPfAlPH5PEZERERERHYjCtWpqooTJ04Yei3RgmUrh+pEC7CTaTQZHR1FNKr9OylDdVPV19ejvb0du3fvRkVFRVy3qaysxO7du9He3s5AHVEOmSlUp6Wrq0vz+Ny5czF79mxD5jWZaI65HKoTtcUZ+f0XheqGhoaEP4/T5fHHH7fF+NnUCpSuUF17e7vm8Tlz5qC6utqw6xARzSSdrfTpkE0/k8xy5MgRU8f/9NNPTR3fqh577DHN4x999FHGX1PORGtjD8B+gTM21ZFdsKmOiIiIaAZ9fX1oa2tDb28vTp06NWVHXq/Xi0WLFqG2thbNzc18M5WILGP16tXYt28fSmQX5DEFIZ8P/R3tmLvykZTH7u9oR2jYB9khoUR2TlyPiMhI489jyJ8FOGXcGAnhYPdVfP0rlSmPfbD7Km4GQoBTjo0PPo8REREREZH9LFy4EC6XC2GNjZR6enrwla98xbBrZVNTXTKhOtH9B6z9PcgUWZbx8ssv49vf/jYOHDiADz74AJ9++il6e3snWhRra2uxbNkyPP7441i/fj3cbnemp01EaZZMqE7UVNfQ0GDInO4kmqPP5zPlenYgCtWJgnDJEI0VjUbh9/tRXFxs2LUStX79elRUVKC/v9/wsSsrK7F+/XpDxsqmAINek5GRoTqtJhsg1lLHjZWJKJ2yLVTHprqZ9fb22np8q1qzZg127do17fj169fxxRdf4P7778/ArOIjCpxlU6iOTXVkJQzVEREREQl0dHTg3XffFe54CMQ+SD969CiOHj2Kffv2oaGhAU899RSWL1+expkSEU1XU1ODhoYGdHV1odztwqWggpP/cx9K65cir2RW0uOODd3EyffeAQDMcbsgAVi6dClDxURkuMnPYyisAHwX8PahM1h2z2yUepPfnWzQP4a3PjoT+4u3ApAkPo8REREREZEtybKMxYsXay6sM3qxnShUZuWF2aIFesksvh4eHhaeY1OdmNvtxoYNG7Bhw4ZMT4WILEiWZXg8Hs0WhkRDdWa1XLKpbrobN25oHk9HqA6IhfoyGapzu9148cUXsW3bNsPH3rp16//P3r2HRXXf++J/r7kxAwMIyEVBQSGIQKNBCWhSbW7dmmjd2dkxPU08O7s9/SVnb9PGbqsxaWPJpSbmYpvQnmT3JD2tJ+lpbC7WRHPZjZEkiCIoqSASUVS8I5eZgbnP+v0xiiKzRgbWXNbM+/U8fXTWmvmuz6KRWbPm+/5+ZAuZR1OoTq1WIy4uzufE69EsluCLKIqSneoqKipkOQYR0UhJheoOHToEp9MJrVYb4orGJprek4JFKlwkF6mAVrS74YYboNVq4XQ6h+3bvn27IkN1UiG1SMVOdaQUqnAXQERERBRpzGYznnvuOTzxxBPeSdwi4BlwwtVtg/NMPxydZjiOm+HoNMN5ph+ubhs8A05ABJqbm1FVVYXnn3/e75fsREShcNdddwEAMnRaxKtVcA0MoPn1V+F2jO6GnNthR/Prr8JltSJerUK6TjvkOEREchv8/WLMALQJsNhceHZLK+xO96jGszvdeHZLK/rtLkCbACRkDD0OERERERGRwoRqBXupSXCR3KVNaoLeaCZfM1RHRBQcgYTWRFGUXAw11J3qYjlUJ9WpLiUlRbZjXC1UF24rVqxAWVmZrGOWlZVhxYoVso0nde2m1K5AUtd1cnWqO3z4MM6fP+9zX2VlpSzHICIaKanP+U6nE0eOHAlxNWPHTnVXF+wQUax2/oqPj5d8H9++fXuIqwlMLHeqY6iOwoGhOiIiIqLLdHR0YPny5aipqQFEwG12wHnKAtd5Gzz9TogODyBeeLIIiA4PPP1OuM7b4DxlgdvsAERgx44dWL58OTo6OsJ5OkQU48rLyzFv3jwIAHINOqgFoO/wITT95lew9/UGNJa9rxdNv/kV+g4fglrwjicAmD9/PrtzElHQXPw9BkEAUvIAQY2WEyY8/pf96LYEFhDuttjx+F/2o+WECRDUF8YT+HuMiIiIiIgUTWqy3cGDB2U9jlSnukgO1UlN0JM7VBfJPwMiokgXSGjt1KlTkmE2dqoLnVB0qpP6uQOREarTarXYuHGjbB3zkpOTsXHjRlk7D0ld7yi1K5CcHYh9kepSJwgCvz8gopC75pprIAiCz31yL6ATCgzVXV1hYaGix49kN910k8/tO3bsgNs9uoV8QyEWQnXRco4UHRiqIyIiIrqgo6MDa9asQXd3N0SnB86zA3D32iG6RSTHJ+L2slvw8KIf4oX7f4Hf/PCXeOH+X+DhRT/E7WW3IDk+EaJbhLvXDufZAYhOD7q7u7FmzRoG64gorB588EGkpqZCr1IhP14/GKzb/fTjOLXzC3hcLr+v97hcOLXzC+x++vHBQF1+vB56lQqpqal44IEHQnQmRBSrLv4eg1YPjL9mMFj3b79vxCd/Pw2X2+P39S63B5/8/TT+7feNlwJ1468BtHr+HiMiIiIiIsXz16lOFEWf+0ZDKlQXyROz5Zx8LXX+Op0OOp0u4PGIiMgrkNCaVJc6IHihOqnQVCyH6kLRqS4uLk5yAm4khOoA739z27ZtG3OwLjk5GVu3bpX9v2Gp651IvnbzJ9id6nbt2uVze0lJiWzhSSKikTIYDMjLy/O5T4mhumh7TwqGYAe4Z82aFdTxI5lUqK6vrw979+4NcTUjFy2BM3aqI6XQhLsAIiIiokhgNpuxdu1aWCwWeOxuuLqsgEdEgj4e3/vmnbix6Hpo1MMvnbLGpaO8YCbuueE7+KJ1N978/F302wbgPDsAzXgDLLBg7dq1qK6uRmJiYhjOjIhiXWJiIqqqqrBmzRrAYkFhgh5HrQ4MWK1offMPOLzlXWSWVyJ5ylQkZE+COi4Obrsd/SeOo+/IYZypr4PDbAIAxKtVyDXooFepYDQaUVVVxd9tRBR0l/8es1gApBcBPR3ot/fjpY++xh8/P4qbitNRNDEJU9IToNepYXO4ceRcP1pPmrC95Rx6BxzewbQJ3g51Wj1/jxERERERUVSQCtX19/fjxIkTyMnJkeU4SuxUJzVBT85OdfxMSUQ0NoGE6lpaWnw+Nysry7soVxCwU91wUqE2OTvVAd6QntVqHfHxw2Hu3LnYuXMnli1bhsbGxoBfX1ZWho0bNwYlFBptAQY5r+t8kepUV1FRIcv4RESBKioqwpEjR4ZtV2Kojp3qrm7BggV4/fXXgzp+rKqsrIRer/cZUtu+fXvEdqT1dR0MRE+obmBgAA6Hw+c+pZ0jRQeG6oiISLF27dqFhoYGzJo1izeyaMxeeeWVwQ51FwN10ybm46Hbf4AUo+8vSy6nUWvwrZK5mJFbgpe3voaDJ9vh6rJCmxGP7u5uvPrqq1i5cmUIzoSIaLi8vDysW7cOa9euRXd3NwoT9DjncOKswwWH2YTjn36M435er1UJyNBpkK7TQgCQmpqKqqoqydXRiIjkduXvMaRPA/rPApYz6B1w4N09JwCckB5ArQWMmUBCBiAI/D1GRERERERRY9q0aZL7WltbZQvVSU3MjuRQndQEPYbqiIgihxyhumB1qQMYqvOlp6fH53a5Q3Xjxo3DyZMnh22PpFAd4P3vr66uDhs2bMCTTz4puRDBlfLz81FXVwetVhuUumIlVCdHpzqbzYZ9+/b53FdZWTnm8YmIRqOoqAjbtm0btl2Jobpoe08KhiVLliAzMxNnzpyRfeysrCwsWbJE9nGVQq/XY+7cufj000+H7fv000/x05/+NAxVXV20d6rz93mKneooHFThLoCIiGg0Ghoa8NRTT2Hbtm146qmnRrXqF9FF9fX1qKmpAUTA1W0bDNStvnP5iAJ1l0sxJmP1ncsxbWI+4BG944nAjh07UF9fH6QzICK6ury8PFRXV2P+/PkQAGTotCgxGjDFEIc0nQbxahVUgve5KsHblS5Np8EUQxxKjAZkXAjUzZ8/H9XV1QyiEFHIXf57DILgDcllfgNInQrEjwe08YCgAiB4/9TGe7enTvU+z5gJCAJ/jxERERERUVQZN24csrKyfO6Tc7JdNHWqG83ka6lQXSSfPxGREgQSWmtubvb53JKSEllruhxDdcNJhdpSUlJkPY5USC/SQnUAoNVqsWrVKtx///0jfs3Ro0dl67Lmi9T1jlK7AknVLUeobu/evXA6nT73cYFvIgqX6dOn+9ze2toKURRDXM3YsFPd1el0OvzkJz8JytgrVqyATqcLythKcdNNN/nc/vnnn0teA4SbVKhOKqQWqaTqdbvdkq9RWnCQogNDdUREpEh//etfAQCi2zPkMdFovP322wAAt8UB0eFGgj4eD93+A8RpR/eBMk6rw0O3/wDxcQaIDjfcFm+r6nfeeUe2momIRiMxMRErV67E448/jtLSUggAxmnVmKzXYVqCHjMS43FdUjxmJMZjWoIek/U6jNOqIQAoLS3F2rVrsXLlSq7ATURhc+XvMQgCYEgBUnKBjOnAxOuA7DLvnxnTvdsNKYAg8PcYERERERFFLaludaEI1UXyyvJydqqTOn9+viQiGhup0JrJZBryWBRFdqqLEKHsVBfI8SPB6dOnR/xcl8uFjz76KGi1SF3vRPK1mz/B7FS3a9cun9uNRmNQf78QEflTVFTkc3tPTw/OnTsX4mrGhp3qRmbFihUoKyuTdcyysjKsWLFC1jGV6Oabb/a5vb+/H3v27AlxNSMT7Z3q/GGnOgoHTbgLICIiCpTFYkFTUxMAwN1jh2a8Afv27YPFYuGKoBSwjo4O76qGIuAxe8Nv3/vmnQF3qLtSijEZ9877J/zukzfgMTugNuqwf/9+HD16FLm5uXKUTkQ0auXl5SgvL8fRo0dRU1ODtrY2HDp0aMjkIKPRiIKCAhQWFmLevHn83UVEEYW/x4iIiIiIiC4pKirCjh07hm2P9U51cobqpDrVMVRHRDQ2Iw2tnT59WjJMFY5QndlshsfjgUoVW+vZOxwOyffRWO5Ud9GJEycCev6WLVuwdOnSoNQSbQEGqbrl6PZXV1fnc3t5eTnUavWYxyciGg2pUB3g/ayfkZERwmpGTxRFdqobIa1Wi40bN2LOnDnDFpgYjeTkZGzcuBFarVaG6pStvLwcCQkJPq+PPv30U8yZMycMVfkXy6E6pZ0jRQeG6oiISHF27doFt9sN0emBx+qC6PTADWD37t2Sq0oQSampqQEAeKxOiG4R4xKScGPR9bKMfWPR9Xjry7+ib8AMj80FlUGDmpoaLFu2TJbxiYjGKjc3d/B3kiiKsNlscDqd0Gq10Ov1EAQhzBUSEfnH32NERERERETSk+3kDNVJTcyO5FCdnB1NGKojIgqOkYbqpLrUAUBJSYmsNV1Oqj7A+97gb3808tehL1Sd6pQYqjMajT4XKNi6dStcLhc0GvmncMZKqC6YneoqKyvHPDYR0WiNHz8eqamp6O7uHravtbUV8+bNC0NVgXM4HHC73T73KfU9KZiKi4uxbds2LFy4cEzBuuTkZGzdupUdVy/QarW48cYbfXYJ3r59Ox577LEwVOVfLIfq2KmOwiG2lsshIqKoUFtbCwDwDDi9f1qdQ7YTBaKtrQ0A4LF5P8DPnVYOjVqem9YatQY3XAjoeayuIccjIoo0giDAYDAgKSkJBoOBQRQiUhz+HiMiIiIiolglFao7ceKEZBgsULHeqU6J509EpAQjDdU1Nzf7fF5GRgbS0tJkr+sif6E5fwGzaCXVLRBgqM7j8eDkyZM+9917770+t3d3d2Pnzp1BqSfaQnVS13VjDdWdOXMGHR0dPvdVVFSMaWwiorEQBCEkC+gEm7/P3+xU59vcuXOxc+dOlJWVjer1ZWVlqK2txdy5c2WuTNmkmnV8+eWXsNvtIa7m6qxWq8/tsRCqU9o5UnRgqI6IiBTFarVi7969AC6FlDwD3j8bGxslLyaJfBFFEe3t7d6/O72husKJU2U9xjUTpgwZ/9ChQxBFUdZjEBEREREREREREVHskppoBwAHDx6U5RhSobJInpgtNUHP6XTC6XQGNBY71RERBcdYO9UFs0sdwFDdlfwF2lJSUmQ9ltJCdWfPnoXL5fK577//9/8uOaH4/fffl70WURQlw2ZKDTBIXXOOZrGEy0l1qQMYqiOi8IuGUJ2/8HMk308It+LiYtTV1eHZZ59FZmbmiF6TlZWFZ599FnV1dexQ58NNN93kc7vNZkNdXV2Iq7k6dqojCi2G6oiISFHq6+vhdDohOj0QnR4AGPy70+nEnj17wlwhKYnVah2cCHDxv6dJ47NlPcbk9Jwh41ssFskPPUREREREREREREREgZo8ebLkpBo5Jtu5XC7JVbsjuVObvwl6gU7AZqiOiCg4pEJrZrMZbrd78LFUqC7YE4aTkpIk98ViqE6qU51arZb9mkBpoboTJ05I7svPz8dtt93mc9+WLVtkr8XhcMDj8fjcp9QAg1TdY+1UJzWJPjc3F1lZWWMam4horKIhVMdOdaOn1WqxatUqHDt2DG+99Ra+//3vY8aMGTAYDBAEAQaDATNmzMD3v/99vPXWWzh69ChWrVoFrVYb7tIj0nXXXSd5bb99+/YQV3N1UvNLRxNSCyd2qiOlYKiOiIgUpba2FsClLnUXXXx8cT/RSAxZKe5C8zi9VifrMQbHu6w5XaAr4BIRERERERERERERSVGpVJg2bZrPfXJMtvM3WTmSQ3X+JujJFaqL5PMnIlICf53gLv7uFUURzc3NPp8T7E51er0eOp3v749jMVQnFWgbN24cBEGQ9VhSne+UFqrTarVIT0/H4sWLfe4/cOAA2tvbZa0lGrsCSV3XjTVUJ9WprrKyckzjEhHJQSpU19HRAavVGuJqRica35NCTafT4e6778Zrr72Gffv2YWBgAB6PBwMDA9i3bx9ee+013H333ZLXrOSl0Wgwf/58n/uUFKpTWuAs0FCdIAjQaDRBqoZIGkN1RESkGHa7fbATncfqDSUVTpw65HF9fb3kaqlEVxpyAX7hHr/N6ZD1GIPjXfYdAleEISIiIiIiIiIiIiI5BXMFe4vFIrkvkifByRmqk/oZsFMdEdHY+AvVXQytnT17Ft3d3T6fE+xOdYB0jQzVXSLVVW4spMbs6+uT7MIWTlKhugkTJkClUuGOO+6QfK3c3eqiMcAQjE51brcbu3fv9rmvoqJi1OMSEclF6nO+KIpoa2sLcTWjw051FEluuukmn9t37twZ8H2iYIuWUJ1Wq4VarR7x8/V6veyLdRCNBEN1RESkGA0NDbDb7RBdHogOD1SCCj+89V4IggDR4YHo8sBut6OxsTHcpZJCGAyGwVVkBa33suh4l++b3aN17FznkPGNRqPiPtwQERERERERERERUWQLV6gukju1+Zs0HugEbKlOdQzVERGNzUhCdVJd6gCG6kKtp6fH5/ZQhupEUZR8Xw4nqVBdTk4OAG+4bvbs2T6f8/7778taSyyF6sYyAf7AgQOS17nsVEdEkWDKlCmSC7fL8Vk/FKR+T6tUKnZWo5CTCtU5nU7U1taGuBr/oiVUBwTWrS4uLi6IlRBJY6iOiIgU4+KFq8fqAgAU5RRgYmoWpudcM2R7pF3gUuQSBAH5+fnev2u9K2K0nTws6zG+PnVkyPgFBQVcTYOIiIiIiIiIiIiIZCUVqvv666/hdrvHNLa/idmRHKqTs1MdQ3VERMExklBdS0uLz/3p6elIT08PSl2XY6juEqlOdSkpKbIfy19QTyrcF06dnZ0+t2dnZw/+ffHixT6fs2PHDln/e/J37abUrkDB6FRXV1fnc7tWq8V111036nGJiOSi0WhwzTXX+NynlFCd1O/phIQEzp+jkLv22muRmprqc9/27dtDXI1/VqvV5/ZoD9Up8fwoOjBUR0REiuB0OlFfXw8A8Ax4w3PXF3hvYpUXzPRuvxCq2717N5xOZ+iLJEUqLCwEAKj03tBb7cF6uNwuWcZ2uV34snW3d3yDZsjxiIiIiIiIiIiIiIjkIhWqczgc6OjoGNPY/jrVRXK3E38TcQIJ1YmiKPkziORQIRGREuh0Osnf11cL1YWiSx0gHaozmUwhOX4kiYROdYB0uC+cpDrVjSRU53K58NFHH8lWi7/rnEi+dvNHKgxotVrh8XhGNeauXbt8bp8xYwYndBNRxAhmV/pQkHpPUmrIm5RNpVLhW9/6ls99n376aWiLuQp2qiMKLYbqiIhIEfbt24eBgQGIbg9EhxuCIGB2/gwAQHn+TACAaHdDdHswMDCApqamMFZLSjJv3jwAgMqghaAW0NtvwhcXgnBj9UXrbvQNmCGoBaj0miHHIyIiIiIiIiIiIiKSi78F3cY62U4qUBYXFweNRjOmsYNJpVJJTtQLpKuJ3W6Hy+V7MT52qiMiGrurdYJrbm72ub+kpCRoNV2OneoukQqzBSNU56+LoVJDdTNnzhzy+HJbtmyRrRap6xytVgutVivbcULJXxgw0A7EF0l1qqusrBzVeEREwaD0UJ2/TnVE4XDTTTf53F5fXw+z2RziaqRJheoCCahFCnaqIyVgqI6IiBShtrYWwKUudYUTpiLF6L2JmmJMRuHEqd79F7rVXXw+0dXk5eV5v3ARAFWiDgDw5ufvoscyti9Beix9eKPmHQAXxhWA0tJS5ObmjrlmIqJgEUURAwMDMJlM3jC7KIa7JCIiIiIiIiIiGoH4+HjJ+89jnWwnNQlOCV3apEJ1gUy+9jepiqE6IqKxu1poLVI71TFUd0lKSorsx9JqtZIT7pUaqhMEAYsWLfL5vK1bt8LtdstSSzQGGOQO1ZnNZsnAbkVFRcDjEREFi1So7uDBg6Pu1BlK7FRHkUYqVOd2u/HFF1+EuBrfRFFkpzqiEGOojoiIIp7L5RpcIepiaK68YOaQ51xfcJ13/4XQXV1dneSqoURXuuuuuwAAaqMOgk6NftsAXt76GuxOx6jGszsdeHnraxiwWyHo1FAbdUOOQ0QUSTo6OvDHP/4RP/vZz/C9730P99xzD+69917cc889+N73voef/exn+OMf/4ijR4+Gu1QiIiIiIiIiIvJj2rRpPrcHq1MdQ3XK+BkQEUU6f6G1s2fPoqury+d+hupCr6enx+f2YHSq8zdupIXqzGYzTCaTz305OTlDHi9evNjn87q7u7Fz505Z6om1UF0gHYgvqq+vl1xclJ3qiCiSSIXqrFYrjh8/HuJqAheN70mkbMXFxcjIyPC5b/v27SGuxjeXyyUZmmWojig4GKojIqKIt3//flgsFohuEaLduzLXlaG62QUzAACi3Q3RI8JsNmP//v2hLpUUqry8HPPmzQMEQJOqB1QCDp5sx7PvVgfcsa7H0odn363GwZPtgErwjicA8+fPx+zZs4N0BkREgauvr8cjjzyChx56CJs2bUJTU9OwCVIWiwVNTU3YtGkTli9fjkceeQR79uwJU8VEREREREREROSP1GS7YIXqlDAJTqrGQCZfS50/wE51RERy8Bdak+pSBwAlJSXBKmmIpKQkn9tjMVQXyk51gHJCdVJd6oChneoA4Oabb5acWLxlyxZZ6pG6zlFyVyB/tY8mVLdr1y6f29PS0pCfnx/weEREwSK1eA4w9s/6ocBOdRRpBEGQ7Fb36aefhrga36S61AHKDNUFUrMSz4+iA0N1REQU8b788ksAgHihS93UzFyMT0od8pz0pDRMzcz1Pu9Ct7ra2toQVklK9+CDDyI1NRWCVgXNeMNgsG7VxifxWXMtXG7/nQ9dbhc+a67Fqo1PXgrUjTdA0KqQmpqKBx54IERnQkTkn9lsxnPPPYcnnngCzc3NEAH0Ol04ZnOgtd+GJvMA9poG0GQeQGu/DcdsDvQ6XRABNDc3o6qqCs8//7zfFbqJiIiIiIiIiCj0Qh2qU0KXtmB3qmOojoho7EYTqktLS0N6enowyxrETnWXSIXZYr1Tnb9Q3cSJE4c8NhgMuPXWW30+V65QndR1jhIWRJDir/ZArusuqqur87m9oqICgiAEPB4RUbAkJSUNey+5SAmhOnaqo0gkFarbu3dvRFxnWq1WyX1KDJ2xUx0pAUN1REQU0TweD3bu3AkAcFudAIZ3qbvo4vaLz9u5c6dkG2SiKyUmJqKqqgpGoxGqODW0GfEQdGoM2K343Sdv4Eev/Qxv1LyD3V/vxenec+jt78Pp3nPY/fVevFHzDn702s/wu0/ewIDdCkHnfb0qTg2j0Yiqqip+sU5EEaGjowPLly9HTU0NRABnHE40W6w4YnXgvMMFq9sDj+h9rkcErG4PzjtcOGJ1oNlixRmHEyKAHTt2YPny5ejo6Ajj2RARERERERER0eWkQnVdXV3o6uoa9bhSk+CUHKoLpKOJVKhOq9Vysg8RkQz8hdaam5t97ispKQlZ8IWhOi9RFNHT0+NzX7BCdVId8CJhsvPlpEJ1aWlpPic+L1682OfzDxw4gPb29jHXE40BBjk71YmiKNmprqKiIqCxiIhCYfr06T63KyFUx051FIluvvlmn9s9Hg9qampCXM1w0dapLpBQnRLPj6KDJtwFEBER+dPS0oK+vj6IHhGi3Q0AuP6a63w+9/qCmfjzl5sh2t0QPSJ6e3tx4MABlJSUhLJkUrC8vDysW7cOa9euRXd3N7QZ8XBbHPCYHegbMGNr49/8vl5QC1Al6qA26gABSE1NRVVVFfLy8kJzAkREfnR0dGDNmjWwWCyweTw4anVgwO0Nn+sSk5BZXonkqflImJgDdVwc3HY7+k92ou9wO87U18FhNuGkzYlepxu5Bh26u7uxZs0arFu3jr/niIiIiIiIiIgigFSoDgAOHjyI8ePHj2pcJXeqk5o8LkenOiWcPxGREvgLrZ06dcrnvuLi4mCWNARDdV4DAwNwuVw+90mF38ZK6Z3qsrOzfW5ftGiR5Fjvv/8+fvzjH4+pnmgM1alUKuj1ep+TzAMN1R09ehRnzpzxua+ysnJU9RERBVNRURH+9rfhc9aUEKqLxvckUr6CggJkZ2f7vIb79NNP8Z3vfCcMVV3iL1QXSEAtUrBTHSkBO9UREVFEq62tBQCIVhcgApPTs5E1Lt3nc7NSMjBpfDYgXng+gC+//DJktVJ0yMvLQ3V1NebPnw8IgDpRB+0EIzTjDVAlaCHoVMDFRQ8FQNCpoErQQjPeAO0EI9SJ3kDd/PnzUV1dzaAJEUUEs9mMtWvXwmKxoN/tQVu/DQNuDzTx8Sj63r9gzhPPouDOu5E+owzx6RmIS0pGfHoG0meUoeDOuzHniWdR9L1/gSY+HgMXXt/v9sBisWDt2rWSE4uIiIiIiIiIiCh0srKykJSU5HPfWCbbSYXqlDAJTmr1+0BCdVLnn5iYOKqaiIhoqNF0qouEUJ3JZIIoiiGrI9ykutQBwetUp/RQXU5Ojs/tEyZMwOzZs33u27Jly5jridYAg1T9gYbqpLrUAcD1118f0FhERKEgtYCOEkJ17FRHkUgQBNx0000+923fvj3E1QzHTnVEocdQHRERRSxRFAdDdZ4LIbnrC2b6fU3FNTOHPH/nzp0xdSOb5JGYmIiVK1fi8ccfR2lpKSAAKoMGmlQ9tJkJ0OUkQjcpEbqcRGgzE6BJ1UNl0AACUFpairVr12LlypX8Qp2IIsYrr7yC7u5u2DwetA/Y4BaB5KkFuP7RKkyYcyNUGv9NzFUaDSbMuRHXP1qF5KkFcItA+4ANNo8H3d3dePXVV0N0JkREREREREREJEUQhKBMtlNypzqpiXqBTL6WWlCK3wEQEclDKrTW3t6Oc+fO+dxXUlISzJKGkKrP4/EEHOZRMn9BtlB3qvMX8AuHzs5On9ulOtUB0t3qduzYMeYuiFL/XSo9wCBHB2IAqKur87m9qKgoaAFRIqKxkPqcf/r06YgLml8pWoPepHw333yzz+1fffUVurq6QlzNULEcqmOnOgoXhuqIiChitbW14fz58xA9Ijy2i6G66/y+pvzCfo/NBXhEdHV1oa2tLei1UnQqLy/HunXrUF1djaVLl2LmzJnDJgkYjUbMnDkTS5cuRXV1NdatWye5qhwRUTjU19ejpqYGIoCjVsdgoG7Gvz+MuORxAY0VlzwOM/794cFg3VGrAyK8X/DV19cHo3wiIiIiIiIiIgpAMEJ1UpPglBCqk2PyNUN1RETBJRVaO336tORrIqFTHYAxh5+UxN+kfX8/o7FQeqc6f6G6xYsX+9zucrnw8ccfj6keqescpQcYgt2prqKiIuCaiIhCQepzPgAcPHgwhJUEjp3qKFJJdaoDgM8++yx0hfjgL1SnxNAZO9WREvhvR0BERBRGX375JQBAtLkAEZiYmonstAkX9opwuz0QRRGCIECtVgEQkJ2ahQkpGTjVcxYemwuqeC1qa2sxbdq0sJ0HKV9ubi6WLVsGwNtB0Wazwel0QqvVQq/XQxCEMFdIRCTt7bffBgCcdTgx4PZAEx+Pku8/ALVudDda1Lo4lHz/Aex++nEMWK0453AiQ6fFO++8g/LycjlLJyIiIiIiIiKiALFT3VBSE/UCCdUp+fyJiJQg0EBWamoqMjMzg1TNcFcL1fkLTkUTqe5wer0+aJNfozlUd9111yE7O9vna7ds2YK777571PVEa1cgOToQOxwONDY2+txXWVk5qrqIiIItOzsbCQkJPn/ftba2RnQomKE6ilR5eXnIy8tDR0fHsH3bt2/HP//zP4e+qAusVqvP7RqNBhqN8qI/7FRHSsBOdUREFJFEUURtbS0AwDPg7VI3Y3IJOjs70XqwFY2Ne9HQ2IDGvY3ePxv3ovVgK06cOIGZuSVDXldbWwtRFMNzIhR1BEGAwWBAUlISDAYDA3VEFNE6OjrQ3NwMEcA5h/d9seAf7w64Q92V4pLHoeDOpQCAsw4XRAD79+/H0aNHx1YwERERERERERGNiVSo7siRI7Db7aMaUypUpoSJ2XJ0NGGnOiKi4Ao0VFdcXBzS72jZqc5LKsiWkpIStGMqIVTncrlw5swZn/v8heoEQcCiRYt87tu6dSvcbveoa4rWUJ0c13VNTU2S18SRHEohotgmCEJQFtAJhWh9T6LocPPNN/vcvn379hBXMpRUpzqldnFjpzpSAuXFVYmIKKz6+/vxzjvvoK2tLahBNbfb7b3xKIqwm62w2+xIdMXh5KmTPp/vcrtgMplgMpmQ6NLDYrEgzhUHTZoep0+fxqOPPgq1Wh20egVBQGFhIf7pn/6JH/qIiChi1NTUAAD6nC44PSJ0SUnILJdnlcXM8koc3vIuHGYT+pxujNOqUVNTM9jZk4iIiIiIiIiIQk9qop3b7UZ7ezuKi4sDHlNqEpwSOrXJ0amOoToiouAKNFRXUlISpEp8MxgMUKvVPkNOsRSqk+pUJxV8k4PU2CaTCW63O6hzQEbq9OnT8Hg8PvddrYvh4sWL8eqrrw7bfv78eezcuRM33njjqGqK1gCDVP2BXNfV1dX53G4wGPCNb3xjVHUREYVCUVERGhoahm2P9FAdO9VRJLvpppvw+uuvD9t+4MABnDp1ChMmTAhDVbEdqmOnOgoXhuqIiCggv/vd7/C3v/0tJMdyuVw4daQTcTY1UuKTkZWYDrhFiG4REEWInkuhPkElAIIAQS0gKzEdRl08ei0mdLebMSEvG/v37w96vfv27cP58+fx8MMPB/1YREREI9HW1gYAMLm9X+Zlzq6ESiPPx0CVRoPM8koc//RjmNzeUN3F4xERERERERERUXjk5+dLTvxvbW0dVahOqlNdrIfqlHD+RERKMJpOdaEkCAKSk5PR3d09bF8sheoiqVMd4A3WBfPYI9XZ2Sm5Lycnx+9rb775ZhgMBlit1mH73n//fdlDdUoPMMjRqW7Xrl0+t8+ePRsamb5DJSIKBqkFdA4cOBDiSgITrUFvig433XST5L7s7GzExcWhsLAQs2fPxoIFC7BkyRLodLqg1yUVqgsknBZJ2KmOlICfBIiIKCAdHR0AAI/dDY/FGbTjOJ0OnDt3DmpRBQhAUcZUwOGBR6I7njdgJ0J0X2h5np6PuqN7oRrw4OSBo0hPT4dWG7wLWpVRC1WcevDnQ0REFG6iKKK9vR0AMHAhVJc8NV/WYyRPmYrjAKwXxj906BBEUYQgCLIeh4iIiIiIiIiIRkan0yE/P9/n4kejXcFeKlSnhElwcky+ljp/dqojIpJHpIfqADBUB+lQXTA71fkLzfX29kZEqO7EiRM+t+v1+qvWZzAYcOutt2LLli3D9m3ZsgXPPPPMqGqSWjxACddu/kiFAgO5rpPqVFdZWTmqmoiIQkUqVNfe3g6n0wmtVhviikaGneookmVkZGD8+PHo6uoatk8URdhsNnz11Vf46quv8PrrryMzMxM/+clPsGLFiqD+m2OnOqLQU4W7ACIiUpabb74ZAKCKU0MVr4HH5oJnwCnr/5xmGyxdJuihg1bQwKCJQ0X2DIiiCK1ag8zk8ZiamYuSSdPwjclFKJk0DVMzc5GZPB5atQaiKKIyZwYMmjhoBQ300MHSZYLTbJO9Vo/NBVW8Bqo4NQDglltuCef/PURERIOsVuvghB+7xxt6S5jof0XMQCVkTwIA2C6Mb7FYJG/uEBERERERERFRaEybNs3ndrlDdUro1BbMTnUM1RERySPQUF1JSUmQKpEmVWMshep6enp8bg9mqM7f2FIhv1CTCtVlZ2ePaBHKxYsX+9ze0tKCw4cPj6qmaO0KNNbFErq6ugYXJL1SRUXFqOsiIgoFqVCdy+WS/N0Wbm63W3L+iNLfk0j5WlpaUFlZ6TNQJ+XMmTNYvXo1Kisr0dLSErTaYjlUp9RzJOVjpzoiIgrI4sWLIQgCXn/9dbgMgDYrHq7zNoh2NwDAoNPjjlm3wqAb3cWN2+3G0WNH4XK5ABGIgxYFaZORrE9EdtoEpBrHQcDwG49xGh3GxSdhYmoWui29OHH+FP5n5fdw6Pwx2OEEBECj0SB3ci7UavWoarM6rPig4W+wOrwXrYJeDU2qHoJaBY1Gg+9///tYtGjRqMYmIiKSm8vlGvy750KjV7XMK/pcHM9zWSNZp9MZ0A0RIiIiIiIiIiKSV1FRkc+OJ6MJ1TkcDjidTp/7GKpjqI6ISA5xcXGIi4uD3W6/6nPHjRuHrKysEFQ1lFSozmQyhbiS8JEKsQWzW1xSUpLkPiWE6kbijjvukNy3ZcsW/PjHPw64plgL1Y30um7Xrl2S+9ipjogiXUFBAVQqFTwXFjy+XGtrq2ToLpysVqvkPnaqo3Cqra3FwoULR30t39jYiDlz5mDbtm2YO3euzNVJ/9tRauCMnepICRiqIyKigAiCgMWLF6OkpATr16/HiRMnoM2Ih9vkgNtkh9Vhw+cHduHfF/wr8rNyAx6/vb0d6WIS4AE8DjcgijDqEzAlYxK06qu3TBYgIM2YgiSDEUfOHkeCLh4QBKh0akAFpKWkIT8/P/C6Th/Fbz78vTdQJwDqpDiok3QAgJycHPz0pz/F1KlTAx6XiIgoWDSaSx/3VII3+OYewRfSgbg4nuqyvLtWe/X3ayIiIiIiIoodoiiisbER+/btw9mzZwEAmZmZmDFjBsrKykbUvYGIAiM1ma61tRWiKAb0785f5w8lhOr8dTQZ6c9CKlSnhPMnIlKK5OTkwWtFf0pKSsJy/chOdeHpVKfRaJCYmOjzvViqnlAba6hu4sSJmDVrFhoaGobte//99wMO1Xk8HsmQWbSG6kbaqU4qVJednT3i/7+IiMJFr9djypQpPrvSjbYrfbD5+/2s9PckUq6WlpYxBeouMplMWLhwIXbu3Ini4mKZqvNipzqi0FOFuwAiIlKmqVOn4le/+hVuu+02AIA6SQdNejwEjQpnes+h6q0X8P6eTyCK4lVGuqS3txfnu88DIiA6LwXqCrLyRhSou5xWrUVBVh6M+gRAFC+MB5zvPh/QimWiKOL9PZ+g6q0XcKb3HASNCpr0+MFA3be//W1s2LCBgToiIoo4BoNhcGJPnMr70a//ZKesx+g/cRwAoL8wvtFo5A0OIiIiIiKiIPvFL34BQRBG/b/7778/JHU6nU48//zzmDRpEmbPno3/8T/+Bx599FE8+uij+MEPfoDZs2dj8uTJeOGFFyS7YBHR6EiF6sxmM06dOhXQWBaLRXKfEibBSa1+7/F44HA4RjSG1M+AneqIiOQjFVq7ktwTVkeKobrwdKoDpEN7kd6pLicnZ8RjLF682Of2HTt2BDzhO5q7AknVP9JQXV1dnc/t7FJHRErhbwGdSOSvk6jS35NImZxOJ+677z7Zuk2bTCYsW7ZM9nvbsRyqY6c6CheG6oiIaNT0ej1+9KMfYdWqVYiPj4cqTg1NZjxU8Rq4PW786Yv38My71ejtH9mN5FOnvV/kim4PRI8IjUqNKRmToBJG93alElSYkjEJapUaokeE6PYMOc7V9Pb34Zl3q/GnL96D2+OGKl7jPb84NRISErB69Wo89NBDir1YJSKi6CYIwmB31ni197207/DwVcvGou/IYQCA4cL4BQUF7DBAREREREREOH78OCoqKvDTn/5UcpIpAHR2dmLlypWYM2eO3+cRUWCmTZsmuS/QyXZK71Tnb6Kevwl+l5PqVMdQHRGRfBiqi3xSIbZgdqrzN36khOo6O30vaBlI5zOpUJ3T6cRHH30UUD3+rm+UsCCCP1L1j+SazuPxYPfu3T73VVRUjKkuIqJQUVqojp3qKNJs2LABe/fulXXMxsZGbNiwQdYxpUJ1gYTTIgk71ZESMFRHRERj9s1vfhMvv/wypk2bBkElQJNmgCZVDwjA/mOtWPN/f4mmjma/YwxYB7xfSooAXN7udtlpEwLuUHclrVqLnLQJ3gcuERC9X35arf5vqjV1NGPN//0l9h9rBQRAk6qHJs0AQSWgqKgIL730Em688cYx1UZERBRshYWFAICkC6G3M3vq4HG5ZBnb43LhTH3dhfHVQ45HREREREREsevs2bO46aabhk1QMBgMKCkpwfTp04d9Od7Q0ICbbroJXV1doSyVKGqlpaUhPT3d575AJ9v561SnhFCdv4l6I+lqYrfbJVccZ6iOiEg+Iw3VlZSUBLkS3xiqA3p6enxuj+VQnSiKkouDBBKqu+666zBx4kSf+7Zs2RJQTdEcYJCqfyTXdG1tbZL/XtmpjoiUwl+oThTFEFdzdexUR5HE4XDgxRdfDMrYGzZsgMPhkG08dqojCj1NuAsgIqLokJGRgWeeeQZ/+tOfsGnTJqgStNDq1HB1W2GyWrD+vd9iYdnNuGfud6DVDA/KdZ/v9v7FI0IURWjVGqQax8lSW6pxHE52n4bT7YLgEQG1gPPnu5GTM/zDmdPlxP/7cjM+3LsdACDoVNCkGiBoVRAEAUuXLsV/+2//DeoL4QEiIqJINm/ePGzatAnJWg20diccJhPO1NdhwpyxB8PP1NfBYTZBqxKQrFUPHo+IiIiIiIhC6/nnn8eMGTNG/HypyZpyuf/++9HefqlTul6vxzPPPIMf/vCHgxNm+vv78Z//+Z949NFHBycJfP311/j+97+Pv/71r0GtjyhWFBUV4dy5c8O2yxmqU8IkuLF2qlN6qJCISCkivVNdUlKSz+2xEqpzu90wmUw+96WkpAT12JEcquvt7YXVavW5L5BQnSAIWLRoEf7zP/9z2L6tW7fC7XaPeI5KNIfqpK7rRhKqq6ur87ldrVZj1qxZY6qLiChUpEJ1fX19OHPmDLKyskJckX/+fj8r4X4CRZfNmzfjzJkzQRn79OnT2Lx5M+6++25ZxmOojij0GKojIiLZaDQaLFu2DDNmzMALL7yA7u5uaDPi4eq1w2NxYlvjpzjQ+TWWL/xXTEjJHPJaS7/3S0nR7V01JdU4DgIEWeoSICDVOA5n+rogukUIasHnh7ZTPWdQve336Dh7HACgMmqhGRcHCAJSU1PxH//xH7j22mtlqYmIiCgU8vLyUFJSgubmZqTrNDhpc+LQe5uQWlyKuORxox7X3teLQ+++BQDI0GkgACgtLUVubq48hRMREREREdGIzZo1C9/61rfCXQYA4OOPP8a2bdsGH2u1Wnz00UfDFmFJSEjAihUrUFZWhttuu22wC9SWLVuwfft23HTTTSGtmygaFRUV4fPPPx+2Xa5QncFgUMQChGMN1ZnNZsl97FRHRCSfkYTqkpOTg75AhL9j+xIroTp/5xnLneqkutQBgYXqAGDx4sU+Q3Xnz59HXV0dbrjhhhGNE82hurF0qtu1a5fP7ddeey2DHUSkGNOnT5fc19raGnGhOqnP3Hq9HiqVKsTVUKz78MMPgz4+Q3W+BRKqU+o5kvLxXYmIiGR37bXX4uWXX8b1118PCAI0KXpoxhsAtYCOs8fx2JvPoqal7rK24yIG+i98iLqwLUEv7828hLj4IeN7b6qJFzaJqGmpw2NvPusN1KkFaMYboEnRA4KAiooKvPzyywzUERGRIt11110AgAydFvFqFVwDA2h+/VW4HfZRjed22NH8+qtwWa2IV6uQrtMOOQ4RERERERHFrp///OdDHj/yyCN+u5rPnz8fq1evHrLtZz/7WVBqI4o1UivYBxqqk5qkrJQubf4mj49kAjZDdUREoTGSUF1xcTEEQZ6FeQMV66E6fwG2WO5UJxWqEwQBEyZMCGisW265RXLC8ZYtW0Y8jr/rm0AmNEciqes6u90Ot9vt97VSneoqKirGXBcRUaikpaVh/PjxPvcF+lk/FKRCdQwzUzjs2bMnqOM3NDTINpZUJ2SlBs7YqY6UgKE6IiIKiqSkJPzsZz/DAw88AK1WC5VBA21mPAS9GnanHa9+vBG//fD/YMBuhdvtgcvtAgCIHm/QzaCT9wLQEGcYMr7L7YLb48GA3YrffPh7vPrxRtiddgh6NbSZ8d56tVo8+OCDeOyxx5CUlCRrPURERKFSXl6OefPmQQCQa9BBLQB9hw+h6Te/gr2vN6Cx7H29aPrNr9B3+BDUgnc8Ad5JkLNnzw5G+URERERERKQQf//737F79+7BxwkJCfjpT3961detWrVqyOTI2tpaHDhwICg1EsUSqVDd8ePHRxQmu0iqU51SQnU6nU5yBfyxdqpTys+AiEgJRhKqKykpCUElvvkL1V1aTDh6+QuwBbtTnVRoLxJCdZ2dnT63Z2ZmQqvVBjSWwWDArbfe6nNfIKE6f12BlNBl2B9/iyX4u67r7+/H3//+d5/7Kisrx1wXEVEoybWATihI3XtQeudUUqa2tjbFjB9tneoCqVup50jKx1AdEREFjSAIWLRoEV544QXk5ORAUKugTY+HOjkOEIDag3vw2JvP4OtTR4a9ViXzCnO+xvv65BE8+sY67DzYAAiAOjkO2vR4CGoVJk2ahBdffBF33HFH2Fa7IyIiksuDDz6I1NRU6FUq5MfrB4N1u59+HKd2fgGPy+X39R6XC6d2foHdTz8+GKjLj9dDr1IhNTUVDzzwQIjOhIiIiIiIiCLV5s2bhzxeunTpiLo4JSYm4u677x6y7b333pOzNKKYJDXRDghsoo9UqE4pk+AEQZBcBX8koTqp81er1ZzoQ0QkE4fDgSNHhs8ZuFJhYWEIqvFNKlTncrkkJ71Gk56eHsl9wV6gWImd6rKzs0c13qJFi3xub2lpweHDh0c0RjQHGPx1NvK3aERDQ4NkJzt2qiMipVFSqI6d6iiS2O32oI4v52cCqbGU2nVYpVKNuAMdO9VRuDBUR0REQTdlyhRs2LAB//AP/wAAUCfpoMmIh6BR4WxfF55++9f4on3PkBXcPDKv5nb5eKIo4ov2PXj67V/jnOk8BI0Kmox4qJN0AIAFCxZgw4YNyMvLk7UGIiKicElMTERVVRWMRiMS1CoUJugRr1bBZbWi9c0/YOfjq3Ho3U04t68BA+fOwm7qw8C5szi3rwGH3t2EnY+vRuubf4DLakX8hdcnqFUwGo2oqqoa0SRJIiIiIiIiim4ffPDBkMff/va3R/za2267bcjj999/X5aaiGJZbm6u5ESUQCbbKb1THSA9iXwkHfukOtUlJiZyUUYiojFyOp1Yv349Jk+ejD/+8Y9Xff66deuwfv16OJ3OEFQ3lL9Oen19fSGsJDykAmzJyclB737GUJ3XSD8jRXOozt85+Luu27Vrl8/t48aNC2tYl4hoNJQUqovm9yRSnmCHteRceCnaOtUBIw8EKvkcSdk04S6AiIhig16vx/LlyzFz5kxUV1ejH/0QMuPh7rHBM+DCpwdrcaTrGJZMvxVGbTysDhviNDrZjm+1WwEAFucA3vvqv9BxvhPJyclQxWuhTomDoBKQkJCAhx56CDfccINsxyUiIooUeXl5WLduHdauXYvu7m4UJuhxzuHEWYcLDrMJxz/9GMf9vF6rEpCh0yBdp4UAIDU1FVVVVQyhExEREREREURRxFdffTVk29y5c0f8+ivvyTY1NUEURQZWiMZArVbjmmuuwf79+4ftC2SyndQkOCWF6sbSqc5fqI6IiEavpaUFy5YtQ2Nj44hf09PTg9WrV+PPf/4zNm7ciOLi4iBWONTVQnVZWVkhqyUcpDrVSQXe5CR1DH/d80JF7lDdxIkTMWvWLDQ0NAzbt2XLFvzoRz+66hjRHGDwdw7+ruvq6up8br/++uuhUrEnBREpi1So7ujRoxgYGIioLnDsVEeRpLCwcNj9a7nHl0u0hupGsigGO9VRuPBTARERhdSNN96Il156CdOnT4egEqBJM0CTqodKrcLhruP4/e6/wOa0o9929dVBA9FvH4DNacfvd/8FR7qOQ6VWQZOqhyZND0ElYPr06XjppZcYqCMioqiWl5eH6upqzJ8/HwKADJ0WJUYDphjikKbTIF6tgurCfEWVAMSrVUjTaTDFEIcSowEZFwJ18+fPR3V1NQN1REREREREEcJut+PAgQP44osvsGvXLhw6dGhEYRG5XJy4c1FCQgImT5484tfn5uYOmVDT39+P48f9Lf1CRCMhxwr20dCpTmrC3kg61UXD+RMRRZra2lrMmTMnoEDd5RobGzFnzhzU1tbKXJk0dqrr9bk9JSUl6MeWCtVZLBa4XK6gH98fqVBdTk7OqMdcvHixz+07duyAyWS66uulrm+iIcAgd6e6ysrKMddERBRqUp/zAaCtrS2ElVxdNAe9SXlmz54d1PFnzZol21jRGqobCSWfIykbQ3VERBRyGRkZWLduHb773e9CEASoErSwJ4hwim702sw4eO4Iui29ECHKcjwRIrotvTh47gh6bWY4RTfsRhGqBC0EQcB3v/tdrFu3DhkZGbIcj4iIKJIlJiZi5cqVePzxx1FaWgoBwDitGpP1OkxL0GNGYjyuS4rHjMR4TEvQY7Jeh3FaNQQApaWlWLt2LVauXMnVuImIiIiIiCLEv//7v2PcuHEoLi7GN7/5TVRWVuKaa65BcnIyKisrUVVVhXPnzgW1hoMHDw55PGnSpIDHuPI1V45JRIELZqhOSZPgpGplpzoiotBraWnBwoULRxQO8sdkMmHhwoVoaWmRqTL/EhISJLsox3KoLpyd6oDw/+w7Ozt9bh9tpzoAWLRokc/tTqcTH3/88VVfL3V9o6RrNyn+JllLBTc6Ozslw48VFRWy1EVEFEp5eXnQ6XQ+9wXyWT8U2KmOIsmCBQsUM77VavW5XcmBs5GG6qR+vxEFG0N1REQUFmq1Gvfeey8ee+wxAMC48SkAREAA4rQ6ON0udFt6ZTlWt6UXTrcLcVodIACAiJTxqQCAxx57DPfeey/UarUsxyIiIlKK8vJyrFu3DtXV1Vi6dClmzpw5bIVto9GImTNnYunSpaiursa6deuCvnoTERERERERBaalpcXn6rUulwu7du3CL37xC+Tm5uLxxx+H2+0OSg1nz54d8ng0nRmunHh65ZhEFDipUF1bW9uIfx9ITVBWUqc2qQl7DNUREYWW0+nEfffdN+ZA3UUmkwnLli2D0+mUZTx/VCoVkpKSfO4Ld7ArFHp6enxuD3eoTirsFwp2ux1dXV0+940lVFdWVoaJEyf63Ldly5arvj6auwKpVKqAr+ukutQBDNURkTKp1WoUFhb63HfgwIEQV+NfNL8nkfIsWbIEmZmZQRk7KysLS5YskW28WO1UFxcXJ7mQCVGwacJdABERxbaLK5watHrYtHqIHhFTMyYDInDi/CkkGYzQqrWjHt/pdqLz/CkAwNSMyVCr1NCoNNBr4gBIf3gjIiKKFbm5uVi2bBkAQBRF2Gw2OJ1OaLVa6PV63rAgIiIiIiKKAlarFU8++SQ+//xzbNmyRfYwzJWdrEYzOebK10h1xwrU2bNnA+7Ud+jQIVmOTRRuUqE6m82GY8eOYcqUKVcdQ+rfYjSE6kbyHRFDdURE8tmwYQP27t0r65iNjY3YsGEDVq1aJeu4viQnJ/sM0MVCqE4qvJaSkhL0Y0dqqO7kyZOS+8YSqhMEAYsWLcJ//ud/Dtu3detWuN1uv4tGR3uAISEhwWeATuq86+rqfG4vKChAWlqarLUREYVKUVER9u/fP2w7O9URSdPpdPjJT36C1atXyz72ihUrZO2wJhWqG2m3t0g00lAdUbiwUx0REYVVbW0tAMBjdSIuLg4F6bnQx+khqAS4PG4cOXscHtEzqrE9ogdHzh6H2+OGoBKgj9MjP30y4vRx8FidQ45PRERE3i/qDAYDkpKSYDAYGKgjIiIiIiKKUIIgYO7cuXj66afxySefoLOzEwMDA7DZbDhx4gS2bNmCBx54YNjqtZ999hm++93vyt6x7srQzWhWzb3yi3W5QnW//e1vUVpaGtD//vEf/1GWYxOF27Rp0yT3jXSyndS/RSVNzJaqdSSd6qIhVEhEFAkcDgdefPHFoIy9YcMGOByOoIx9ueTkZJ/bYyFUF85OdVIdAoHwhupOnDghuW8soToAWLx4sc/tXV1dkiGxi6I9VBfoYglSneoqKytlq4mIKNSkFtCJtFBdtL8nkfKsWLECZWVlso5ZVlaGFStWyDpmrHaqU/L5kfIxVEdERGFjtVoHV6LzDLig1WpRWVgGCICgVQOCAIutH4dOd8DpdgY0ttPtxKHTHbDY+gFBuDAeUHnNLGg1WngGXAC8K9dZrVbZz42IiIiIiIiIiIgoGL797W+jtbUVX375JR599FHceuutyM7OhsFgQFxcHCZOnIhFixbhlVdewddff40bbrhhyOs/+OAD/Pa3v5W1piu/6B/NyrxXrkTL+7ZEY2c0GpGTk+Nz31hDdUoKlUlNvh5JqI6d6oiI5LF582acOXMmKGOfPn0amzdvDsrYl4vlUJ1UeC0UoTq1Wi35s4/EUF1iYqLfIOBI3HzzzZKTit9//32/r5UKMERLVyCpIIav83Y6ndizZ4/P51dUVMhaFxFRKEmF6tra2mRfSGss2KmOIo1Wq8XGjRvHfK12UXJyMjZu3AitVivLeADgdrvhdPqeK63k0Bk71VGkY6iOiIjCpr6+Hk6nE6LTA9HpgUatxoLKW6HT6gAVoNKpBoN1LZ1f47ylByJEv2OKEHHe0oOWzq8HA3UqnQpQATqtDgsqb4FapR48pr+baERERERERERERESRZu7cuSgsLBzRc3NycvBf//VfmDNnzpDtTz311IjCJCN15Rf6o+kUYrfb/Y5JRKMz1hXspSZmKylUF8jk6ysxVEdEJI8PP/xQ0eMD0qE6k8kU9GOHm1R4LSUlJSTHlwrvhTNU19nZ6XP7WLvUAd6wwa233upz35YtW/y+VupzXrR0BQqkA/H+/fslF2thpzoiUjKpz/k2mw3Hjh0LcTXS2KmOIlFxcTG2bds25mBdcnIytm7diuLiYpkq87ryHvnllHy/nJ3qKNIxVEdERGFTW1sLAPBYvV3jSiZNQ1JCIgqnFUKj1gAqASqdGoJKgNvjxtFzndh/rBUnuk+ht78PdpcDTrcTdpcDvf19ONF9CvuPteLouU64PW4IF14PlQCNWoPCaYVINiahZFLhkONerIOIiIiIiIiIiIgo2uj1evzxj3+ERqMZ3Hb27Fl8/PHHsh3jynDNlZ3rRuLKyY5yBXb+7d/+Dfv37w/of++9954sxyaKBGMN1bFTne9QnZLOn4goEgR7oduGhoagjg/Edqe6np4en9tD0anO33EisVOdHKE6AFi8eLHP7c3NzThy5Ijk66I9wBDIYgl1dXU+nxsXF4drr71W1rqIiEJp2rRpkvtG+lk/FNipjiLV3LlzsXPnTpSVlY3q9WVlZaitrcXcuXNlrmz4PfLLKTl0xk51FOk0V38KERGR/Ox2++CNc4/V2664vGAmACDeEI+i6UVoO9gGh9MBQacG3B7AJcLpduFMX5ffsQVBADQCBLUKELwd6gqnFSLeEH/hONfhq6MH4LE6oU7SYc+ePbDb7bwoIyIiIiIiIiIioqhUUFCA73znO3jnnXcGt3388cf4x3/8R1nGvzJcMpLuT1e68jVyBVYyMjKQkZEhy1hEShSsUJ2SJmaPJVQndf7sVEdEFJi2tjZFjw/EdqiOneqGC3ao7o477pDct2XLFvzoRz/yuS/aQ3VS13W+znvXrl0+n1tWVgadTidrXUREoWQ0GpGTk+Oza2praysWLlwYhqqGY6iOIllxcTHq6uqwYcMGvPjiizhz5sxVXxMfH4+1a9dixYoV0Gq1QanL32J10R6qU/L5kfKxUx0REYVFQ0MD7HY7RJcHosMDQRAwa+qllaDiDfEoLS1FWmoaIACCRgUhTu3tXKdWwSW68WVHA/5v42Z82dEAl+iGoFZ598epIWi8gbq01DSUlpYOBuoAYHb+tRAEAaLDA9Hlgc1mQ2NjYzh+DEREREREREREREQhccsttwx5fPDgQdnGvjK05mtSz9VcOSmVQTgieUiF6s6ePYvu7m6/rxVFUXJitpI6tQXS0eRKUp3qGKojIgqM3W4P6vij6ZQcqFgN1dlsNsmfb7g71Ul10AuFYIfqsrOzJbunvP/++5Kvi/ZQnRyd6iorK2WtiYgoHMa6gE4oRPt7EimfVqvFqlWrcOzYMbz11lv4/ve/jxkzZkCtVvt8/syZM7Fq1aqgBeoA/59rRhJMi1TsVEeRjqE6IiIKi9raWgCAx+oCAEzPuQZJ8UO/gNRoNMjPz0fhNYXeLycFAGoBXfZevN7wF3x6uA5Hejvx6eE6vN7wF5x39AJqARC8X2YWFhYiPz8fGs3QxqxJ8Ykoyi4YcvyL9RAREREREclNFEUMDAzAZDJhYGAAoiiGuyQiIiKKQZMmTRry+Ny5c7KNPW3atCGPjx8/HvAYV75GanIQEQXG37+lq4VrHQ4HXC6Xz31KCtWNpVMdQ3VERPII9gTJUHQ1SEpK8rk92kN1/rrBhTtUF4md6nJycmQ7xuLFi31u/+yzz2AymXzukwowREtXIKkgxpXXdT09PZLXuhUVFbLXRUQUakoI1bFTHSmFTqfD3Xffjddeew379u3Dyy+/7PN5+/btg9vtDmot7FRHFB6aqz+FiIhIXk6nE/X19QAuhdrKC2ZKPn/cuHEYN24cBgb6sXX33/Dn3X+F1W6DW/TA5OpHkiYBZ83n8ftdf8E9ld/B7dffgvh4/yuaXF8wEwc6v4bH6oI6UYfdu3fD6XQGdRUJIiIiIiKKHR0dHaipqUFbWxva29thsVgG9xmNRu8CIoWFmD9/PnJzc8NYKREREcWKK+99Op1O2cbOzc2FwWCA1WoF4J3IefTo0RFf5xw9enTIRJuEhIRhIUAiGp2JEyfCaDQO+Uxy0cGDBzFnzhzJ1/p6zUVKWll+LKE6qZ+BkkKFRESRoLCwEF999VVQxw+2WO1U5y+4lpKSEpIaIi1U5/F4gt6pDvCG6qqqqoZtdzqd+Pjjj/HP//zPw/ZJXd8o6drNn5F2qtu9e7fkGOxUR0TRYPr06T63R0qoThSlO99Hy3sSRa/Zs2f73D4wMIDW1laUlJQE7dixHKpjpzoKJ3aqIyKikNu3b5+3O4PbA9HuhiAIKM+f6fc1/fYB/O/t/w/v7vsIOn0cxmWmImN6NvKvLUTG9GyMy0yFTh+Hd/d9hNc++zP67f6/CC0vuA4AINrdEN0eDAwMoKmpSa5TJCIiIiKiGFVfX49HHnkEDz30EDZt2oSmpqZhkzAtFguampqwadMmLF++HI888gj27NkTpoqJiIgoVpw+fXrI4/T0dNnGFgQB11577ZBttbW1I379l19+OeTxtddeC0EQZKmNKNYJgjCsm+RFV5ts5y9Up6RQ2UgnX1/J6XTCbrf73MdOdUREgZGamCqXWbNmBXV8IHZDdT09PZL7YrVTXVdXl+QiJXKG6srKyjBx4kSf+7Zs2eJze7QHGKQWS7jyvHft2uXzeZmZmZg8ebLsdRERhZpUp7qzZ8+iu7s7xNUM53A44PF4fO5jpzqKdN/4xjeg0fjuWxXs7/QZqiMKD4bqiIgo5C5OpvAMeLvUXTNhClKMvm9AA0DbyXY8+sY67Pq6ERAA9bg4aNPjodZqoNfrodZqvI+T4wABqGtrwKNvrEPbyXbJMVOMySicONVbx4VueYFM8iAiIiIiIrqc2WzGc889hyeeeALNzc0QRRF99j6csJzAod5DaD7fjP1d+9F8vhmHeg/hhOUE+ux9EEURzc3NqKqqwvPPPw+z2RzuUyEiIqIo9cUXXwx5LHcnuEWLFg15/Mknn4z4tVc+d/HixbLUREReUpPtrhaq8xc6U1KobrSd6vx9PmOojogoMAsWLFD0+EDshuqkgmtarTZkk+IjLVQn1aUOkDdUJwgC7rjjDp/7tm7dCrfbPWSb2+2WXBAgWkJ1Uudx5XVdXV2dz+dVVlZyARciigpSn/MBb1f6cPN3PyFa3pMoeun1enzjG9/wuS/YoTqr1epzuyAI0Gq1QT12MI0kVKfk0CApH0N1REQkG1EUMTAwAJPJ5O1EJ4rDnuNyuQZXhLoYZrv+Qte4K3k8Hry3+0M8uelX6DJ1Q9CooMmIhzpRBwC4/fbb8cc//hG33347AECdpIMmIx6CRoUuUzee3PQrvLf7Q8lVT8oLZnqPcyHcV1dXN+ymIxERERER0dV0dHRg+fLlqKmpgQgRXdYuHOw5iOPm4+ix9cDmsg1+PhJFETaXDT22Hhw3H8fBnoPosnZBhIgdO3Zg+fLl6OjoCO8JERERUdTp7e3F22+/PWTbLbfcIusxvvOd7wx5vGnTJr9dri4ym83YtGnTkG1LliyRtTaiWDfaUF20dKrzF6rz9V3WRf5CdUo6fyKiSLBkyRJkZmYGZeysrKyQXD9KhersdrtkkCkaSAXXxo0bF7JwklJCdWq1GhkZGbIeS2rBka6urmHd2GIhwDCSDsSiKEp2qquoqAhKXUREoTZhwgTJxV6u9lk/FPwtYsNOdaQEUp22w9WpTq/XK3phAHaqo0jnuzclERHRCHV0dKCmpgZtbW1ob28f8gWr0WhEfn4+CgsLMX/+fOTm5mL//v0wm80QPSJEuzfANrtgxrBxz5t78L8++gMOdH4NAFAlaKEZFweoBBiNRvz4xz9GZWUlAOB//s//iZkzZ+Kll16CxWKBKjMerh47PANObKrdgv3HWvFvC+5HqnHckGOUF8zEGzXvQLS7IXpEmM1m7N+/HzNmDK+HiIiIiIjIl46ODqxZswYWiwV2tx2d5k5YXd4V5HRGHbJnZCM1NxWJmYlQ69RwO9wwnzGj+2g3TjSdgMPiwOn+0+iz9yEnMQfd3d1Ys2YN1q1bh7y8vPCeHBEREUWNlStXDplwqtPpsHDhQlmPce2116K8vBz19fUAvGGc9evX44knnvD7uvXr1w+ZAFlZWYni4mJZayOKdVKhuvb2djidTsmVrv2F6kYyGSZS+JtEbrVaJSf0+Tt/dqojIgqMTqfDT37yE6xevVr2sVesWAGdTif7uFeSCtUBgMlkQnp6etBrCIeenh6f26WCbsGQkpLic3ukheomTpwItVot67FuueUW6PV6nxOst2zZgrlz5w4+9heqi5YAg9R5XH7uhw4dQnd3t8/nXZxnRESkdIIgoKioaPA+3OUiIVQXC0Fvim6zZ8/G7373u2Hb9+3b5/de2lhJheqUdB/OF3aqo0jHTnVERDQq9fX1eOSRR/DQQw9h06ZNaGpqGvblosViQVNTEzZt2oTly5fjkUcewZtvvgkAEC90h5uamYv0pLQhr2to/wqPvrHOG6hTCdCk6qFJ1QMqAaWlpXj55ZeH3eiaM2cOXn75ZZSUlHhfk3bpNQc6v8aa//tLNLR/NeQ16UlpmJI52VvPha55X375pXw/JCIiIiIiimpmsxlr166FxWLBgHMA7b3tsLqs0Bq0uPbOa3HLT29B8cJiZBVnISEtAfpEPRLSEpBVnIXihcW45ae34No7r4XWoIXVZUV7bzsGnAOwWCxYu3at364IREREFJueeeYZNDQ0jPj5LpcL//Ef/4HXXnttyPYHH3wQEyZM8PtaQRCG/O+zzz676vGuDNA988wzqKmpkXz+jh078Oyzzw7Z9tRTT131OEQUGKlQncvlQnt7u+TrpEJlCQkJUKmUM9XA3yRyf6vn+/tMxlAdEVHgVqxYgbKyMlnHLCsrw4oVK2QdU4q/UF1fX19IaggHqeCaVNAtGKQCfP39/XA6nSGr46LOzk6f27Ozs2U/Vnx8PG699Vaf+7Zs2TLksb/rmmgJMIykU51UlzpBECS7zhARKdFou9KHAjvVkdJJXTPYbDa0tLQE7bj+OtUpGTvVUaRTzp1uIiKKCGazGc899xyeeOIJNDc3AyLgGXDC1W2D80w/HJ1mOI6b4eg0w3mmH65uGzwDTkAE9u/fjzfffBPt7e1w9TsAeLvFXeRwOfGH7W/hxS2vwmLrh6BTQ5sZD1WCFoIg4N5778XTTz+N8ePH+6xt/Pjx+OUvf4l7770XgiBAlaCFNjMegk4Fi60fL255FX/Y/hYcrks3VS8e3z3g3bZz5054PJ7g/PCIiIiIiCiqvPLKK+ju7obdbUeHqQMe0YOU3BTMe2geJs2aBJXa/603lVqFSbMmYd5D85CSmwKP6EGHqQN2tx3d3d149dVXQ3QmREREpBQffvghZs+ejRtuuAG//vWvsX//frhcrmHP6+vrw5/+9CeUl5fjxRdfHLIvPz8fjz/+eFDqW7BgAb797W8PPnY6nfiHf/gH/PrXvx4ymaa/vx+/+tWvsGDBgiGTYG+//XbccsstQamNKJYVFBRIhuD8TbaTWlneaDTKUleoyB2qU6lUil8hnIgoHLRaLTZu3IikpCRZxktOTsbGjRuD1iXC1/GkRHOoLhI61fk7Vjh+9lKd6oIRqgOARYsW+dze3NyMI0eODD6Oha5AUudx+TVdXV2dz+eUlpZyYQQiiiqRHKqLhfckim6lpaWS3bD37NkTtOPGcqhO6edIysZQHRERjVhHRweWL1/uXVlYBNxmB5ynLHCdt8HT74To8ADihSeLgOjwwNPvhOu8Dc5TFvSd6YbT6URPdw/6unrgdrtx/YVQ24nzp/D4/3sOHzftAACoE3XQZsRD0KiQnp6OZ555Bt/97nevuvKpSqXCd7/7XTzzzDMYP348BI0K2owEqBO9F7gfN+3A4//vOZw4fwoABo8v2t0QPSJ6e3tx4MAB2X92REREREQUXerr61FTUwNRFNFp7hwM1FX8SwX0SYHd8NUn6VHxLxWDwbpOcydEiNixYwfq6+uDdAZERESkZLW1tXj44YfxjW98A0ajEQUFBZg1axauv/565OfnIzU1Fd/73vewb9++Ia/LysrCtm3bkJaWFrTa/vjHP2LKlCmDj202Gx5++GGMHz8epaWlKCkpwfjx47FixYohkwTy8/Pxf/7P/wlaXUSxTK/XD/l3eTl/k+38dapTEn/1+pvoJxWqMxqNEARhzHUREcWi4uJibNu2bczBuuTkZGzduhXFxcUyVXZ1/sI40Ryqi+ROdYB06C+YIiVUBwDvv//+4N9jIcAwlk51FRUVQamJiChcpEJ17e3tcDgcIa5mKKkFbNRqdcgWRCAaC51OhxkzZvjcx1Bd4NipjiIdQ3VERDQiHR0dWLNmDbq7uyE6PXCeHYC71w7RLSI5PhG3l92Chxf9EC/c/wv85oe/xAv3/wIPL/ohbi+7BcnxiRDdIrpPd0G0uxEvxEH0iEhQ6ZEYl4C//f0LPPanZ3G86wQEtQBNugHqcXGAAMydOxcvvfRSwDfDi4uL8fLLL2Pu3LmAAKjHxUGTboCgFnC86wQe+9Oz+PTvXyJrXAYmjc/2hgCt3hWda2trg/EjJCIiIiKiKPL2228DAM7bzsPqskJr0KLsnjKodepRjafWqVF2Txk0eg2sLivOW88DAN555x3ZaiYiIqLoZLfb0d7ejsbGRtTX1+Pw4cPweDzDnnf77bejqakJ11xzTVDryczMxPbt24dNOrBarWhubkZLS8uwyQEzZ87E9u3bkZ6eHtTaiGLZaFawlwrVxUqnOqnzZ4cTIqKxmTt3Lnbu3ImysrJRvb6srAy1tbXeuQAhpFarJd8DYzFUFymd6qTqC6ZQh+qys7Ml/71s2bJl8O9SoTpBEBQ/Efsiqes6h8MBl8sFq9U6bHGZiyorK4NYGRFR6El9zne73Th06FCIqxlK6j0pISGBi9SQYsyePdvn9mCG6qxWq8/tSr+WY6c6inQM1RER0VWZzWasXbsWFosFHrsbzrMDEB1uJOjj8cPb7sVLP3gK9877J5QXzETWuHSMS0hG1rh0lBfMxL3z/gkv/eAp/I9bvweLbQCiKCIe3hUF8lJz8MQbL+C1/3oTTpcTgl4DTVYCVHoNdDodli9fjkceeWTUX84ajUY88sgj+Pd//3fodDqo9BpoMhMg6DVwupx47W9v4qWtr6FkUiEAwHNZqE4URX9DExERERFRDOvo6EBzczNEUUSXtQsAMH3B9IA71F1Jn6RH8ULvgiJd1i6Iooj9+/fj6NGjY66ZiIiIosNjjz2GBx98ECUlJVCrrx7mNxqNuPvuu7Fjxw588MEHyMjICEGVQG5uLnbv3o1nn30WEydOlHzexIkTsX79euzatQuTJk0KSW1EsWo0oTqpSXCxEqqT6lTHUB0R0dgVFxejrq4Ozz77LDIzM0f0mqysLDz77LOoq6sLaYe6yyUnJ/vcHs2hOqlOcKEM1SUmJkpOwI+kUF1OTk7Qjrl48WKf2z/77DOYTCYA0tdu8fHxURNguFoH4r1798Llcvncz051RBRt8vPzJe8P+vusHwpSn7X9fT4nijRSobqmpibY7fagHJOd6ojCQxPuAoiIKPK98sorgx3qXF1WwCNi2sR8PHT7D5Bi9H3T+HIatQaT0iYiPysPHWePQ6/xdqqr72iCW/RAq9MiaWIq1Ik6AEBeXh5WrVolyyQKQRCwYMEClJSUYP369ejo6IA23QC32QF3nx27v94LzYUPlx6bC/CI6Orqwtdff43CwsIxH5+IiIiIiKJPTU0NAMDkMMHlcSHOGIfsmfKsQpw9Mxutn7TCYXHA7DAjKS4JNTU1WLZsmSzjExERkbLddtttuO222wB4J6e0tLSgo6MDp06d8i6K5vFg3LhxSElJQXFxMb7xjW+MKHzny1gXHtPpdFi1ahVWrlyJhoYGNDU14ezZswCAjIwMzJw5E2VlZVCpuAYoUSj4C9WJouhzonW0dKrTarXQarVwOp3D9klNPgcYqiMiCjatVotVq1bh4YcfxubNm/Hhhx+ioaEBbW1tsNls0Ov1KCwsxKxZs7BgwQIsWbIEOp0urDUnJyf7DFRFc6hOKrSWkpISshpUKhWSk5N91hLqUF1/f7/kMYPVqQ4AFi1ahKqqqmHbnU4nPvnkE9x1112SAQZ/QTSl8XcuAwMDqKur87kvMTER06dPD1ZZRERhERcXh6lTp+Lrr78eto+hOqKxkwrVOZ1O7N+/H7NmzZL9mLEcqlP6OZKyMVRHRER+1dfXeyeMioCr2zYYqFt953LEaUd+w3rX13uhVWuQnz4Z/ZZ+uDxuuNxuuAQ3Tpm7kOvWYxx0WLRoEf71X/9V9pvhkyZNwgsvvIDXX38dH3zwAdSJOghxarjP2+Byub1PEr3BOlW8Fl9++SVDdUREpAiiKMJqtcLlckGj0cBgMETNapNERJGqra0NAGBxeieYTpwxESq1PJPBVWoVsmdk48iXR2B2ekN1F49HREREdLn4+HjMnj1b8sv9SKFSqVBeXo7y8vJwl0IU06RCdX19fThz5gyysrKG7ZMK1SlxYnZ8fLzPwIO/TnXREiokIop0Op0Od999N+6+++5wl3JV7FR3SSg71V08XiSE6qS61AHBDdWVlZVhwoQJOHXq1LB9W7ZswV133SW5WIASr92kXK1T3a5du3zuKy8vH/WCM0REkayoqCgiQ3Wx8J5E0a+4uBh6vd5n0K2hoSGkobqRhNIiGTvVUaRjqI6IiPx6++23AQBuiwOiw40EfTweuv0HAQXqRFFE/aF9AADBA8THGWC29sPssKDbZYKoFtDd3Y3nn38eFRUVwTgNAN6b8Q8++CCuu+46/PrXv4bZbIYqMx6uXjs8/d7VST0D3lBdbW0t7r//foYSiIgoInV0dKCmpgZtbW1ob28fMsHHaDQiPz8fhYWFmD9/PnJzc8NYKRFR9BFFEe3t7QAAq8sKAEjNTZX1GCmTU3DkyyOD4x86dEiycwQREREREdFISIXqAO9ku0BCdUoMlUmF6tipjoiIAiEVqjOZTCGuJHQioVMdIB3ii5VQnUqlwqJFi/C73/1u2L4PPvgAbrc7JgIM/joc9ff3S3aqq6ysDFZJRERhVVRUhC1btgzbHu5QHTvVUTTQaDS47rrrsHPnzmH79uzZg//v//v/ZD8mO9URhYc8S2gTEVFU6ujoQHNzs7eDm9kBAPjeN+9EitH3jWIpR8914pzpPABA9HgnggpaFc5Ze+BxepCUmIScnByfX9gGQ0VFBV566SWUlpYCKgGaVD00qXpAJcBjcwGiiNOnT+PIkSMhqYeIiGik6uvr8cgjj+Chhx7Cpk2b0NTUNGxyk8ViQVNTEzZt2oTly5fjkUcewZ49e8JUMRFR9LFarYO/e+1uOwAgMVPeCZVJWUlDxrdYLJI30ImIiIiIiEZi/PjxSEtL87lParKd1MRsJYbqpCaT++tUx1AdERFdKdY61YmiKBlaC3WnOqkQX6SE6lJSUoLeQWTx4sU+t3d1dWHXrl0xEarzdy7t7e04duyYz33BXOCbiCicpBbQaW1thSiKIa7mklh4T6LYMHv2bJ/bgzUPK5ZDdexUR+HEUB3RCIiiiIGBAZhMJgwMDIT1YpMolGpqagAAHqsTolvEuIQk3Fh0fcDj7D60FwAgukVAEKCKUyPJmAidWosJKRm4JjcfOp1u8HihMH78eDz99NO47777oFKpoErQQpsZD0GrhsfmBgDU1taGrB4iIiJ/zGYznnvuOTzxxBNobm6GCKDX6cIxmwOt/TY0mQew1zSAJvMAWvttOGZzoNfpggigubkZVVVVeP755yUnAhER0ci5XK7Bv1+8P6DWqWU9xsXxLr//4HQ6ZT0GERERERHFnmnTpvncfvDgQZ/bo61TnS+jCdUp8fyJiEgesRaqM5vN8Hg8PveFOlQX6Z3qcnJygn7sW265RXJC9fvvvy8ZYIimrkB6vR6CIPjc9+mnn0q+jqE6IopWUqE6s9mMU6dOhbiaS9ipjqKFVKju73//e1AWxbVarT63Kz1Up9VqoVb7n1Oh9HMkZdOEuwCiSNXR0YGamhq0tbWhvb19yJdGRqMR+fn5KCwsxPz585GbmxvGSomCp62tDQAGQ2Zzp5VDow78reN414UPaAKgivNeGKUnpeK/5y9F4+GvINrcQLx28HiholKpcM899+Daa6/Fc889h3PnzkGbEQ+Pw3u+HR0dIa2HiIjIl46ODqxduxbd3d0QAZx1OHHO4YLTM3yhB48IWN0eWN0enAegtTuRrtMgQ6fFjh078Pe//x1VVVXIy8sL9WkQEUUNjebSZyJBECCKItwXPkPI5eJ4l08O0Gq1sh6DiIiIiIhiT1FRkc8FBaU61UmF6pS4srzUxD2pyeeA9PmzUx0RUeyKtVCdv8CaVOe4YImUUF1nZ6fP7dnZ2UE/dnx8PG655RZ88MEHw/Zt2bIFt956q8/XKfHaTYogCEhISPB5nSYVqsvLy0NmZmawSyMiCgupxXMA72f9iRMnhrCaS9ipjqKFVKjO5XLhq6++wvXXB96kxJ9o7VQHeLvVSd1rA9ipjsKLoTqiK9TX1+Ptt99Gc3Oz5HMsFguamprQ1NSETZs2oaSkBP/8z/8s+eZJpESiKKK9vd37d6d3QmfhxKmjGmtiaiYaDwOCyjshtOKaMvzg1v+G5mMHvaG6C+MfOnQIoihKrioVLNOnT8fLL7+M6upqfPHFF4PBv0mTJoW0DiIioit1dHRgzZo1sFgssHk8OGp1YMDtXRFUl5iEzPJKJE/NR8LEHKjj4uC229F/shN9h9txpr4ODrMJJ21O9DrdyDXo0N3djTVr1mDdunUM1hERjZLBYIDRaITFYkGcOg42lw3mM2YkpMn3JZDptAkAEKf23jg2Go1RcaOciIiIiIjCS2oFe6lQndQkOCV2apOauDeaTnUM1RERxa5YC9X19PRI7mOnuqFCEaoDgMWLF/sM1e3fvx8TJkzw+ZpoCzDEx8f7nJB94MABn8+vrKwMdklERGGTlpaG9PR0nDt3bti+1tZW3HzzzWGoip3qKHpMmzYNCQkJPu+R7dmzh6G6AFwtVBcN50jKxVAd0QVmsxmvvPIKampqvBtEwGN1wmNzQ3S6ITo9gAhAAAStCoJWDZVeDZVBi+bmZjQ3N2P+/Pl44IEH+EUKRQWr1Tp4ASM6vZP3J40f3U3AuyrvgFqlQuf5U5g7rRwV11wHQRAwOT1nyPgWiwU2mw0Gg0GGMwhMQkICVq1ahblz56KmpgaTJ0/GPffcE/I6iIiILjKbzVi7di0sFgv63R60D9jgFgFNfDwK/vFuZJZXQqUZ/pEuPj0D6TPKMHXxnThTX4dD723CwMAA2vptyI/XAxYL1q5di+rqal63EhGNgiAIyM/PR1NTEwwaA2wuG7qPdiOrOEu2Y/Qc805WMWi8n40KCgpCvvgIERERERFFH6lQ3dGjRzEwMDBscpvURBclhuqkJu4xVEdERIFISkryuT1aQ3X+AmuREqrzF/wLhnCH6hYtWiS5T6pTW7SF6gI9n4qKiiBVQkQUGaZPny4ZqgsXdqqjaKFWq1FWVobPP/982L49e/bIfjypUF045lTL7WrnwE51FE6qcBdAFAk6OjqwfPlyb6BOBNxmB5ynLHCdt8HT74TouBCoAwAREB0eePqdcJ23wXnKArfZAYjAjh07sHz5cnR0dITzdIhk4XK5Lj248N+/Xqsb1Vg6jRZL534HP1n8ACoLywYngw6OJ156rtPpHNUx5CAIAr75zW/isccew7Jly6DTje58iYiI5PDKK6+gu7sbNs+lQF3y1AJc/2gVJsy50Weg7nIqjQYT5tyI6x+tQvLUArhFoH3ABpvHg+7ubrz66qshOhMiouhTWFgIADBqvRNJTzadhOdCJ9Gx8rg9ONHknZiRqE0ccjwiIiIiIqKxkArViaKIr7/+eth2qVCdEifBSdUsNdEPiK5QIRERySPWOtVJheoSEhKg1WpDWgs71V06znXXXedzn9vt9rldiddu/gR6PuxUR0TRLtCu9KHATnUUTWbPnu1zeyhDddHQxe1qobpoOEdSLobqKOZ1dHRgzZo16O7uhuj0wHl2AO5eO0S3iOT4RNxedgseXvRDvHD/L/CbH/4SL9z/Czy86Ie4vewWJMcnQnSLcPfa4Tw7ANHpnaC8Zs0aButI8TSXT9S/0BDB5nTIeozB8S5ruBDqG69ERESRqL6+HjU1NRABHLU6BgN1M/79YcQljwtorLjkcZjx7w8PBuuOWh0Q4V0Qor6+PhjlExFFvXnz5gEAknRJ0Kg0sFvsOLHP92SKQJ3YdwIOiwMalQaJusQhxyMiIiIiIhqLKVOmSH4P42uyXTSFytipjoiI5BBroTqpLnCh7lLn75ihDNW5XC6cPn3a576cnJyQ1bF48eKAnh9tAYZAzker1WLmzJnBK4aIKAJEYqiOneoomkiF6pqbm/3eVxqNWA7VsVMdhRNDdRTTzGYz1q5dC4vFAo/d7Q3GOdxI0Mfjh7fdi5d+8BTunfdPKC+Yiaxx6RiXkIyscekoL5iJe+f9E176wVP44W33IkEfD9Hhfb3H7obFYsHatWslv2ghUgKDwTD4paig9b5dHO+SZ5LoRcfOdQ4Z32g0RsXFHxER0Vi9/fbbAICzDicG3B5o4uNR8v0HoNaN7gaCWheHku8/AI3BgAG3B+cc3s6w77zzjmw1ExHFkry8PJSUlEAQBIw3jAcAHPjwAGwm3ze5R8pmsqFlWwsAYLxhPARBQGlpKXJzc8dcMxERERERkUajwTXXXONz35WT7URRlJwEx1AdQ3VERLFKKlQ3MDAAp9MZ4mqCTyqwlpKSEtpCEBmhujNnzkh2gwtVpzog8FBdtAUYAjmf6667jvOQiCjqSYXqjh8/DoPBgBkzZuAHP/gBNm3aBIdD3qYKUtipjqKJVKjO4/Fg3759sh7LarX63B4N1zMM1VEkY6iOYtorr7wy2KHO1WUFPCKmTczHs/f9DN8qmQuNWuP39Rq1Bt8qmYtn7/sZpk3MBzwiXF3WwY51r776aojOhEh+giAgPz/f+3etGgDQdvKwrMf4+tSRIeMXFBRAEAR/LyEiIop6HR0daG5uhgjgnMMFACj4x7sD7lB3pbjkcSi4cykA4KzDBRHA/v37cfTo0bEVTEQUo+666y4AQJohDQaNAU6rE41/boTb4XtSxdW4HW40/rkRLpsLBo0BaYa0IcchIiIiIiKSw0hXsLfZbPB4PD6fq8RQndTka6ngoMvlklwdnKE6IqLYJRWqA6TD2EqmhE51VqsVdrs9JDWcOCG9EHUoQ3VlZWWYMGHCiJ8fy6G6ioqKIFZCRBR+TqcTO3bskNxvs9nw1Vdf4fXXX8fSpUsxefJkrF+/PuiLAbBTHUWTgoICyXtBe/bskfVYsdypLhrOkZSLoTqKWfX19aipqQFEwNVtGwzUrb5zOVKM0jfBfEkxJmP1ncsvBeu6bYAI7NixA/X19UE6A6LgKywsBACo9N7QW+3BerjcLlnGdrld+LJ1t3d8g2bI8YiIiGJZTU0NAKDP6YLTI0KXlITM8kpZxs4sr4QuMQlOj4g+p3vI8YiIKDDl5eWYN28eBAjIScyBSlCh52gPdv1hV8Ad62wmG3b9YRd6jvZAJaiQk5gDAQLmz58vufIdERERERHRaIw0VGexWCTHUOIkuEA71fk7fyWGComISB7+QnV9fX0hrCQ0pLrARVKoDgjdz14qVBcXF4e0tLSQ1AAAKpUKd9xxx4ifr8RrN38COZ/KSnm+YyUiikQtLS2orKzEs88+O+LXnDlzBqtXr0ZlZSVaWlqCVhs71VE0UalUmDVrls99DNWNHDvVUSRjqI5i1ttvvw0AcFscEB1uJOjj8dDtP0CcVjeq8eK0Ojx0+w8QH2eA6HDDbfG2SX7nnXdkq5ko1ObNmwcAUBm0ENQCevtN+OJCEG6svmjdjb4BMwS1AJVeM+R4REREsaytrQ0AYHJ7VwLPnF0JlcZ/B+WRUmk0gwE9k9s95HhERBS4Bx98EKmpqYhTxyEvKW8wWLfjpR043nAcHrfvrg4XedweHG84jh0v7RgM1OUl5SFOHYfU1FQ88MADITqT0BFFEQMDAzCZTBgYGIAoiuEuiYiIiIgopkiF6g4ePDikM53UqvKAMkNlgYbq/HUbYqc6IqLYxVCdV0pKSmgLucoxpeqUm1SobuLEiRAEISQ1XLR48eIRPzfaQnWBBDLYqY6IolVtbS3mzJmDxsbGUb2+sbERc+bMQW1trcyVeTFUR9FGaiHcUIXqrhZIUwJ2qqNIJs/MTCKF6ejoQHNzMyACHrM3/Pa9b94ZcIe6K6UYk3HvvH/C7z55Ax6zA2qjDvv378fRo0eRm5srR+lEIZWXl4eSkhI0NzdDlaiDu9eONz9/FzNyS8b076XH0oc3aryBU1WiDhCA0tJS/jshIqKYJ4oi2tvbAQADF4IYyVPzZT1G8pSpOA7AemH8Q4cOQRTFkH/ZR0QUDRITE1FVVYU1a9YAFiB/XD46zZ2w2qz46t2v0PpJK7JnZCNlcgqSspKg1qnhdrhhOm1Cz7EenGg6AceFRXkMGgNyEnMQp46D0WhEVVVV1EzU7OjoQE1NDdra2tDe3j6k44PRaER+fj4KCwsxf/58fi4kIiIiIgoyqVCd1WrF8ePHB6/Jo61Tm9RkcqnwIEN1RETkS1JSkuS+aAzV9fT0+NweaZ3qwh2qy8nJCcnxL3frrbdCr9dLTry+3O9//3vExcVhyZIl0OlGt9h8JBlpSHD8+PGYOnVqkKshIgq9lpYWLFy4ECaTaUzjmEwmLFy4EDt37kRxcbFM1XlJfdaOtqA3xQ6pUF1rayvMZrNs94rYqY4oPNipjmJSTU0NAMBjdUJ0ixiXkIQbi66XZewbi65HcnwiRLcIj8015HhESnTXXXcBANRGHQSdGv22Aby89TXYnY5RjWd3OvDy1tcwYLdC0KmhNuqGHIeIiCiWWa3WwQlL9gsrgydMlPeLuITsSQAA24XxLRbLiL5wIyIi3/Ly8rBu3brBjnVTx01FVkIWNCoNHBYHjnx5BI1/asRnGz7D3579Gz7b8Bka/9SII18egcPigEalQVZCFqaOmzrYoW7dunXIy8sL96mNWX19PR555BE89NBD2LRpE5qamoZNzLVYLGhqasKmTZuwfPlyPPLII7Kv6EdERERERJdMmzZNcl9ra+vg3/2F6pQ4CU7OTnVKDBUSEZE8tFqt5GTQaAzVRVKnOqPRCJXK91THUIXqOjs7fW7Pzs4OyfEvFx8fj5tuumlEz/3000+xdOlSTJ48GevXr4fT6QxydcE10mvRiooKLipKRFHH6XTivvvuG3Og7iKTyYRly5bJ+t7gdrtht9t97mOnOlIqqVCdKIrYu3evLMcQRTFmQ3VarVbyWp8oFPhfH8WktrY2AIDH5gYAzJ1WDo1ansaNGrUGN1wI6HmsriHHI1Ki8vJyzJs3DxAATaoeUAk4eLIdz75bjR5LYDeFeyx9ePbdahw82Q6oBO94AjB//nzJi04iIqJY4nK5Bv/uEb1/qmVeiefieBfHB6D4L8+IiMItLy8P1dXVmD9/PgQIGG8Yj2kp0zA5cTJS9CnQa/SDX94LggC9Ro8UfQomJ07GtJRpGG8YDwEC5s+fj+rqasUH6sxmM5577jk88cQTaG5uhiiK6LP34YTlBA71HkLz+Wbs79qP5vPNONR7CCcsJ9Bn74MoimhubkZVVRWef/55v5NYiYiIiIhodJKSkjBx4kSf+0YSqhME4aorS0eiQEN1/s5fiaFCIiKST3Jyss/tsRSqC0enOkEQJI8r1VFPblKd6sIRqmtpacH+/fsDes2ZM2ewevVqVFZWoqWlJUiVBd9Ir8UqKyuDXAkRUeht2LBBtgDPRY2NjdiwYYNs40l9zgaUuUgPEQBMnTpV8lpUrgVjpcKoQPSH6tiljsKNoTqKOaIoor293ft3pzdUVzhR3lbv10yYMmT8Q4cOQRRFfy8himgPPvggUlNTIWhV0Iw3DAbrVm18Ep8118Lldvl9vcvtwmfNtVi18clLgbrxBghaFVJTU/HAAw+E6EyIiIgim0ZzaaEH1YWFE91+bpqMxsXxVJctzKjVamU9BhFRLEpMTMTKlSvx+OOPo7S0FIIgICkuCdnGbBSMK0BJWglKx5eiJK0EBeMKkG3MRlJcEgRBQGlpKdauXYuVK1ciMTEx3KcyJh0dHVi+fDlqamogQkSXtQsHew7iuPk4emw9sLlsg/dIRFGEzWVDj60Hx83HcbDnILqsXRAhYseOHVi+fDk6OjrCe0JERERERFFIqlvdwYMHB//e39/v8zlGo1GRHT+kJu5JnafUIh9KPX8iIpJPLIXqpMJq4QjV+TtuqDrVRUqorra2FnPmzMHx48dH9frGxkbMmTMHtbW1MlcWGiPtclRRURHkSoiIQsvhcODFF18MytgbNmyAw+GQZSx/oTp2qiOlEgRBsnGIXKE6qS51QPSH6qLh/EjZ5GnNFWTt7e3YvXs3Ojs74XA4kJKSgqKiIsydOzcs/4icTicOHjyI5uZmnDlzBmazGUajEWlpabj22mtRWlrKFpQRzGq1Dq4sKDo9AIBJ4+W9uTE5PWfI+BaLBTabTZGrNhIB3smhVVVVWLNmDSywQJsRD1e3DQN2K373yRt468u/4oai63HNhCmYnJ4DvVYHm9OBY+c68fWpI/iydTf6BrxfPgo6NTSpeghaFYxGI6qqqhQ/aZSIiEguBoMBRqMRFosFcSoVrG4P+k92Ij49Q7Zj9J/wfsGmv/CZxWg08uYEEZGMysvLUV5ejqNHj6KmpgZtbW04dOjQkC4HRqMRBQUFKCwsxLx585CbmxvGiuXT0dHh/dxoscDutqPT3AmrywoA0Bl1yJ6RjdTcVCRmJkKtU8PtcMN8xozuo9040XQCDosDp/tPo8/eh5zEHHR3d2PNmjVYt26d4rv3ERERERFFkqKiImzfvn3Y9pF0qjMajUGrK5ikJu7Z7Xa43W6o1eoh26VCdfxOi4iIYilUJxVWS0lJCW0hF4QzVCeKYkSE6lpaWrBw4UKYTKYxjWMymbBw4ULs3LkTxcXFMlUXGiPpciQIAq6//voQVENEFDqbN2/GmTNngjL26dOnsXnzZtx9991jHktq8RqAnepI2WbPno3/+q//GradobqRYac6imQRHap777338OSTT6KxsdHnfqPRiPvvvx9r167F+PHjg1rLkSNH8Je//AWffPIJvvjiC1itVsnnJicn47777sOPf/xjXHPNNUGtiwLncl3WUetC8zi9VifrMQbHu6w5ndPpZKiOFC0vLw/r1q3D2rVr0d3dDW1GPNwWBzxmB/oGzNja+De/rxfUAlSJOqiNOkAAUlNTUVVVxYmRRERElxEEAfn5+WhqakK82huq6zvcjvQZZbIdo+/IYQCAQe0N1RUUFHB1bSKiIMjNzcWyZcsAXOjIZrPB6XRCq9VCr9dH3e9es9mMtWvXwmKxYMA5gA5TBzyiB1qDFtMXTEf2zGyo1MMXoUpIS0BWcRaKvl2EE/tO4MCHB2C1WtHe2468pDzAAqxduxbV1dWcvEpEREREJJOioiKf20cSqlPqBDh/q+FbrdZhYcFoCxUSEZF8YiVU53Q6Jd8PY7FTnclkkgwJ5OTkBP34gPf/k/vuu2/MgbqLTCYTli1bhrq6Omi1WlnGDDaHw4Hm5uarPm/atGmS/1aJiJTqww8/DPr4coTq2KmOopVUp7qvv/4avb29Y75G9heqi4b8ATvVUSSLyHZqdrsd9913H+68807JQB3gvZFdXV2N4uJi1NTUBK2WyspKTJ06FatWrcInn3ziN1AHeG+S/OY3v0FpaSmef/55iKLo9/kUWhrNZVnSC/PXbE552hZfNDjeZfPjlHLzgcifvLw8VFdXY/78+YAAqBN10E4wQjPeAFWCFoJOdem/ewEQdCqoErTQjDdAO8EIdaI3UDd//nxUV1czUEdERORDYWEhACDpQvDgzJ46eC5fGGIMPC4XztTXXRhfPeR4REQUPIIgwGAwICkpCQaDIeoCdQDwyiuvoLu7G3a3fTBQl5KbgnkPzcOkWZN8Buoup1KrMGnWJMx7aB5SclPgET3oMHXA7raju7sbr776aojOhIiIiIgo+kmF6k6dOjUYCIi2UJm/MKCvCfLsVEdERFKkgjpyBZ0ihb+QYCx2quvs7JTcF6pOdRs2bMDevXtlHbOxsREbNmyQdcxgcDqdWL9+PSZPnozq6uqrPv/o0aNYv349nE5nCKojIgoNubphSWloaJBlHHaqo2glFaoD4DfvMlLsVEcUPhEXqvN4PLjnnnvwxhtvDNmuVqsxZcoUzJw5c9jNiXPnzg22I5eb0+nErl27fO7T6/WYMmUKysvLUVxcDJ1uaLczh8OBn/70p1i+fLnsddHoGQyGwS97BK33n8DxrhOyHuPYuc4h4xuNxqh4QyMCvF8Wrly5Eo8//jhKS0sBAVAZNNCk6qHNTIAuJxG6SYnQ5SRCm5kATaoeKoMGEIDS0lKsXbsWK1eu5JeOREREEubNmwcASNZqoFUJcJhMg0G4sTpTXweH2QStSkCyVj3keERERKNVX1+PmpoaiKKITnPnYKCu4l8qoE8K7H6IPkmPin+pGAzWdZo7IULEjh07UF9fH6QzICIiIiKKLVKhOgA4ePAgAOlJcEoN1flbDd/XKvoM1RERkZRY6VTnL6gWi53qTpyQnls2YcKEoB/f4XDgxRdfDMrYGzZsgMMh74L0cmppaUFlZSVWr16NM2fOjOg1VqsVq1evRmVlJVpaWoJcIRFRaLS1tSlifH+d6qKh2xbFrsmTJ2P8+PE+98kRSo3lUF00nB8pW8SF6p577jls3rx5yLYHH3wQx44dw+HDh7F37150d3fjnXfeweTJkwefMzAwgKVLlwb9BsWUKVPwi1/8Al9++SVMJhMOHz6M3bt3o7m5Gb29vdi4cSNyc3OHvOa3v/3tiFZIodAQBAH5+fnev1+YSNx28rCsx/j61JEh4xcUFETlKvQU28rLy7Fu3TpUV1dj6dKlmDlz5rAvUo1GI2bOnImlS5eiuroa69at87taAxEREXk7w5aUlEAAkK7zdlk+9N4m2Pt6xzSuva8Xh959CwCQodNAgDfwfuXnFyIiokC9/fbbAIDztvOwuqzQGrQou6cMap16VOOpdWqU3VMGjV4Dq8uK89bzAIB33nlHtpqJiIiIiGJZTk6OZMistbUVQPR1qpMrVKfU8yciIvnESqiup6dHcl+4QnVSHfLCGarLyMgYthB/MGzevHnEgbJAnT59eth8zUhRW1uLOXPmjLr7S2NjI+bMmYPa2lqZKyMiCj273R7U8f0FegIhtUiPwWCAShVxsQWiERMEQXL+sxydJGM5VMdOdRRuEfXudP78eTz99NNDtq1btw7/63/9L0ycOHFwm0qlwp133ona2lrk5eUNbu/s7Azaiiw33HADPvroI7S3t2Pt2rWYO3cutFrtkOcYDAbcd9992Lt3L8rLy4fs+/nPf47u7u6g1EaBKywsBACo9N7JXbUH6+Fyu2QZ2+V24cvW3d7xDZohxyOKRrm5uVi2bBmefPJJvPnmm3jrrbfwxhtv4K233sKbb76JJ598EsuWLeOEfSIiogDcddddAIAMnRbxahVcAwNofv1VuB2ju0nqdtjR/PqrcFmtiFerkK7TDjkOERHRaHV0dKC5uRmiKKLL2gUAmL5gesAd6q6kT9KjeGExAKDL2gVRFLF//34cPXp0zDUTEREREcU6lUqFadOm+dx3tVBdQkJC0OoKJn91+5rwJ3X+7FRHRESxEqqTCqqpVKqwvR9GYqe67OzsoB8bAD788ENFjz8aLS0tWLhwIUwm05jGMZlMWLhwITvWEZHiBTt0IldoR6pTnb/FboiUIpihOqvVKrkvGkJn7FRHkSyiQnXr168fsuLbvHnzsHr1asnnZ2dn43//7/89ZNuGDRtw/vx52WrS6XR4//338cUXX+Db3/72iLqNpaSk4L333htyY763t3dw1W4Kv3nz5gEAVAYtBLWA3n4TvrgQhBurL1p3o2/ADEEtQKXXDDkeUbQTBAEGgwFJSUkwGAzs0EhERDRK5eXlmDdvHgQAuQYd1ALQd/gQmn7zq4A71tn7etH0m1+h7/AhqAXveAKA+fPns4MsERGNWU1NDQDA5DDB5XEhzhiH7JnyTCTJnpkNnVEHl8cFs8M85Hh0ya5du/Db3/4Wu3btCncpRERERKQgRUVFPrdfDNVJrSyv1E5t/ibuBNKpjqE6IiJKSkryuT3aQnVSneqSk5PD1mUmEkN1OTk5QT82IM9EbX8aGhqCOn6gnE4n7rvvvjEH6i4ymUxYtmwZnE6nLOMREYVDsJt7yDW+1P0EpS7SQ3Q5qXlWhw8fHnPzJalOdTqdTvFdHh0Oh9/r2ba2NmzatAkOhyOEVRFdEjH/wjweD37/+98P2faLX/ziqoGMW265Bd/85jcHH5vNZrz11luy1aXT6XDHHXcE/LqJEyfiX/7lX4Zs++ijj+Qqi8YoLy8PJSUlgACoEnUAgDc/fxc9lrHd4Oqx9OGNmncAXBhXAEpLS9mhi4iIiIgC9uCDDyI1NRV6lQr58frBYN3upx/HqZ1fwOPy32nZ43Lh1M4vsPvpxwcDdfnxeuhVKqSmpuKBBx4I0ZkQEVE0a2trAwBYnN4uDhNnTIRKLc8tR5VahewZ3oCe2WkecjzyamhowFNPPYVt27bhqaeeQmNjY7hLIiIiIiKFuFqoTqpTm1JDdWq1WnJVb4bqiIgoELHeqS4lJSW0hVwmnKG6zs5On9tD1aku2PdFI+2+64YNG7B3715Zx2xsbMSGDRtkHZOIKJSCvWjyrFmzZBmHneoomvn7dzjWRQqkQnX+FoqKdE6nE+vXr8fkyZPxy1/+UvJ5J06cwNKlSzF58mSsX7+eCyFQyEVMqK62thbnzp0bfDx16lR861vfGtFrf/CDHwx5/N5778lY2ehdHvYDgGPHjoWpEvLlrrvuAgCojToIOjX6bQN4eetrsDtHl3K2Ox14eetrGLBbIejUUBt1Q45DRERERBSIxMREVFVVwWg0IkGtQmGCHvFqFVxWK1rf/AN2Pr4ah97dhHP7GjBw7izspj4MnDuLc/sacOjdTdj5+Gq0vvkHuKxWxF94fYJaBaPRiKqqKk4AIiKiMRNFEe3t7QAAq8sKAEjNTZX1GCmTU4aMf+jQIYiiKOsxlOyvf/0rAMDpcQ55TERERER0NVKhukOHDsHpdEqG6pS8srxU7b5W0ZcK1Sk1VEhERPKJ9VCdVLAtFKSOLdVVT05SnepCFaqz2+1BHV9qEnc4OBwOvPjii0EZe8OGDeyAQkSKtWDBAkWMz1AdRbOJEyciKyvL576xdhaWuh7T6/VjGjdcWlpaUFlZidWrV+PMmTMjes2ZM2ewevVqVFZWoqWlJcgVEl0SMaG6Dz74YMjj22677apd6i5/7uU+++wzyfaxoXTlyjzRdvNE6crLyzFv3jxAADSpekAl4ODJdjz7bnXAHet6LH149t1qHDzZDqgE73gCMH/+/KCvDkFERERE0SsvLw/r1q0b7FhXmKBHtl4LrUqAw2zC8U8/xv7XXsGuJx5D7WMrseuJx7D/tVdw/NOP4TCboFUJyNZrUZhwqUPdunXrkJeXF+5TIyKiKGC1Wgcn2trd3kkdiZnyhraTspKGjG+xWCJqgkc4WSwWNDU1AQBOWLyTevbt2yc5+ZmIiIiI6HJSoTqn04kjR45EXac6QHoCn68Jf1Lnz4WqiIhIKlRnNpvhdrtDXE3wSAXVIjFUZ7fbg37PMNyhOqmOu3KJpMnamzdvHvHE60CdPn0amzdvDsrYRETBtmTJEmRmZgZl7KysLCxZskSWsaTm7yt5kR6iiwRBkMwFMFR3SW1tLebMmYPGxsZRvb6xsRFz5sxBbW2tzJUR+RYxobp9+/YNeTx37twRv3bixIlDJoU6HI6ISKde+WE6LS0tTJWQlAcffBCpqakQtCpoxhsGg3WrNj6Jz5pr4XK7/L7e5Xbhs+ZarNr45KVA3XgDBK13wvIDDzwQojMhIiIiomiVl5eH6upqzJ8/HwKADJ0WJUYDphjikKbTIF6tgurCeiQqAYhXq5Cm02CKIQ4lRgMydFoI8C74UF1dzUAdERHJxuW6dN/kYvc4tU4t6zEujnd5dzqn0ynrMZRq165dcLvdsLlssDgssLlscLvd2L17d7hLIyIiIiIFuOaaayQXuW1tbZWcBBeNobpAOtUxVEdERFKhOkD6/UOJpDrVXbnIfCj5C/RJ1SsHh8OBs2fP+twXqlBdYWGhoscPxIcffqjo8YmIgkWn0+EnP/lJUMZesWIFdDqdLGOxUx1FO4bq/GtpacHChQthMpnGNI7JZMLChQsjIhNE0S9iQnUHDhwY8ri4uDig11/5/CvHC4fPP/98yONI+vBJXomJiaiqqoLRaIQqTg1tRjwEnRoDdit+98kb+NFrP8MbNe9g99d7cbr3HHr7+3C69xx2f70Xb9S8gx+99jP87pM3MGC3QtB5X6+KU8NoNKKqqopfqhARERGRLBITE7Fy5Uo8/vjjKC0thQBgnFaNyXodpiXoMSMxHtclxWNGYjymJegxWa/DOK0aAoDS0lKsXbsWK1eu5PUpERHJSqPRDP794mRct0Pe1bgvjnf5ZF+tVivrMZTq4sp8fY6+IX9yxT4iIiIiGgmDwYDc3Fyf+1pbW6OyU53Uqvi+JvwxVEdERFL8herGOnE0kiipUx0Q3FDdqVOnJPfl5OQE7biXk5q8LZdZs2YFdfxAjHVC+tU0NDQEdXwiomBasWIFysrKZB2zrKwMK1askG08dqqjaCd1XXbs2DHJhRhGwmq1+tyupFCd0+nEfffdJ9vnIpPJhGXLlnHRXQo6zdWfEnxWqxXHjh0bsm3SpEkBjXHl8w8ePDjmusbCZDLhL3/5y5Btt99+e5iqIX/y8vKwbt06rF27Ft3d3dBmxMNtccBjdqBvwIytjX/z+3pBLUCVqIPaqAMEIDU1FVVVVewAQkRERESyKy8vR3l5OY4ePYqamhq0tbXh0KFDQyY5GY1GFBQUoLCwEPPmzZOcHEUUbXbt2oWGhgbMmjULFRUV4S6HKCYYDAYYjUZYLBbEqeNgc9lgPmNGQpp8X4qZTntvuMep4wB43+eU9MVBsFitVuzduxcAYLKbBv/MjM9EY2MjrFYrDAZDOEskIiIiIgUoKipCR0fHsO3+QnVKngQntSq+r1BdNIYKiYhIHv5CdX19fSGsJLjYqe6Szs5OyX2h6lS3YMECvP7660EdP1K0tbUpenwiomDSarXYuHEj5syZI0toJTk5GRs3bpR1QUt2qqNo528xgoaGBixcuHBU40ZDp7oNGzYMfoctl8bGRmzYsAGrVq2SdVyiy0VEqK6rqwuiKA4+1mq1yMjICGiMKz+gjiXpK4ennnpqyI328ePHY9GiRWGsiPzJy8tDdXU1Xn31VezYsQPqCyE5j80Fj9UF0emG6PQAIgABELQqCFo1VAYNVHoNcGGx9Pnz5+OBBx7gCoVEREREFFS5ublYtmwZAEAURdhsNjidTmi1Wuj1+iHdfIhiQUNDA5566ikAwLZt21BVVSX7Cn1ENJwgCMjPz0dTUxMMGgNsLhu6j3YjqzhLtmP0HPOuiG3QeANiBQUFfJ8DUF9fD6fTCbvbDrvbDgBD/r5nzx5885vfDGeJRERERKQARUVF+PDDD4dtP3jwoOTK8koOlUkFAq88V7fbLTkJkN8DExFRrIfqwtmpLiEhAWq1Gm63e9i+YIbqTpw4IVlPUlJS0I57uSVLliAzMxNnzpyRfeysrCwsWbJE9nFHy263B3V8qQnrRERKUVxcjG3btmHhwoVjCtYlJydj69atKC4ulrE6dqqj6JeVlYXs7Gyf14h79uyRPVSnlIVUHQ4HXnzxxaCMvWHDBjz88MPQ6XRBGZ8oIkJ1V67yFh8fH/DkmCvfbKVWjguF2traYb8Ufvazn8mesj979izOnTsX0GsOHTokaw3RJDExEStXrsT8+fPxzjvvYP/+/d7QnOHq/0xKS0tx1113SbZ0JSIiIiIKFkEQYDAYFHMThSgY/vrXv3r/4nYAah3++te/MlRHFCKFhYVoamqCUWtEj60HJ5tOoujbRVCpVWMe2+P24EST98uIRG3i4PHIe/8RAPrsQydqmewmpMeno7a2lqE6IiIiIrqqoqIin9sPHDgQlaG6kXaq8zfXgKE6IiKKi4tDXFycz+BPNIXqenp6fG4PZ6hOEASkpKSgq6tr2L5whOqys7NDtgCYTqfDT37yE6xevVr2sVesWBFRE5Tj4uKCGnxTUrcXIiIpc+fOxc6dO7Fs2TI0NjYG/PqysjJs3LhR9kAdwE51FBtmz54tGaobLaV3qtu8eXNQFoAAgNOnT2Pz5s24++67gzI+UUSG6kbzj//KCaThCtWdPXsW3/3ud4esiFNeXo7ly5fLfqzf/va3qKqqkn3cWFdeXo7y8nIcPXoUNTU1aGtrw6FDh4b8N2U0GlFQUIDCwkLMmzcPubm5YayYiIiIiIgodlksFjQ1NXkf9B4D0gqwb98+WCwWRU/0I1KKefPmYdOmTUjSJUGj0sBusePEvhOYNGvSmMc+se8EHBYHNCoNEnWJg8eLdXa7ffALGZPDuwJpyuQU9BzrQZ+jD+nx6aivr4fdbkdcXFw4SyUiIiKiCCcVqpOaRA8oe2X5kYbqzGaz5Bi810BERACQlJTkcyH0aArVSYXUUlJSQlvIFcaNGxdRobpQWrFiBf785z+PKjwhpaysDCtWrJBtPDkUFhbiq6++Cur4RETRoLi4GHV1ddiwYQNefPHFEYdZfv7zn+PnP/85tFptUOpipzqKBbNnz8bmzZuHbY/lUN2HH34Y9PEZqqNgiYhQ3ZW/BEaz8smVE0SsVuuYahoNu92OO++8E8ePHx/clpiYiDfffBNqtTrk9dDY5ObmYtmyZQAAURRhs9ngdDqh1Wqh1+tDttIQERERERERSdu1a5d3YRunFbD1AU4r3DBg9+7duPnmm8NdHlHUy8vLQ0lJCZqbmzHeMB6n+0/jwIcHkH5NOvRJo7/BbzPZ0LKtBQAw3jAegiCgtLSUCxsBaGhogN1uh8PtgM1lAwTg2juvxY6XdsDmssHhdgB2oLGxEXPmzAl3uUREREQUwaRCdf4oOVQmNYHvygl/7FRHRERXk5ycHNWhOlEUI7JTnb/jhyNUl5OTE7Rj+qLVarFx40bMmTMHJpNpzOMlJydj48aNQQtVjNbs2bODGqqbNWtW0MYmIgo1rVaLVatW4eGHH8bmzZvx4YcfoqGhAQcPHpQM6EyfPj2ov/vZqY5iwezZs31uP3nyJE6ePImJEycGPKbSQ3VjCRSORENDQ1DHp9imCncBwPB/7A6HI+Ax7Ha73zGDzePx4L777kNtbe3gNrVajTfeeAMFBQUhrYXkJwgCDAYDkpKSYDAYGKgjIiIiIiKKEIOfw609Q/68/PM5EQXXXXfdBQBIM6TBoDHAaXWi8c+NcDvcoxrP7XCj8c+NcNlcMGgMSDOkDTlOrLv4++1il7q0KWkwphuRNiVtyHb+HiQiIiKiq8nIyAh4YrySQ3VydKpjqI6IiABvGMmXaAnVWa1WOJ1On/sioVOdL/467Y5VZ2enz+2h7lQHeLsSbdu2DUlJSWMaJzk5GVu3bkVxcbFMlclnwYIFih6fiCgcdDod7r77brz22mvYt28frFYrpk6d6vO5n3zySVBrYac6igX+QvqjDX9JNZRSSqiura1N0eNTbIuIUN2VN96lkrb+XPmLJNQ38//t3/4Nf/nLXwYfC4KA3/3ud1i8eHFQj7l///6A/vfee+8FrR4iIiIiIiKiULJardi7d++FB71D/mxsbAxLF3uiWFReXo558+ZBgICcxByoBBV6jvZg1x92wWYK7D6fzWTDrj/sQs/RHqgEFXIScyBAwPz58yVX/IslTqcT9fX1AIA+u3eSVlZJlvfP4qwh23fv3i05+YmIiIiICPB+px1ot7pYD9VxEiAREQHRH6rz1/WNneouCUeoDgDmzp2LnTt3oqysbFSvLysrQ21tLebOnStzZfJYsmTJ/8/encdHdd/3/n+dc2bXjHYJGQQSCMQiMBiDF2wjJynEdbPcxEvc2P41ddJrN7GTOPHFIckjXFon2Fnq1Ca9drO0ibM0do2btLEbsBuDjcDsshGbwUiAWLXOjGY72++PIwlkZgSC0Qaf5+PBA81Zvt/vCDSaOef7/n4YM2bMoLRdVlbGxz/+8UFpWwghRprFixen3b569Wps2x60fqVSnbgclJSUUFFRkXbfhVZsG+2V6t5fICvbLiRfJMT5GpGhulgsNuBf2O9Ptg/lxfylS5fy7LPP9tn2gx/8gL/+678e1H5LS0upqakZ0B+pmieEEEIIIYQQ4lKxefNmJzBiJMDoDtAZcTAS6Lp+wRcrhRAD98ADD1BYWIhX81KZW9kbrFv71FoObz2MZVr9nm+ZFoe3HmbtU2t7A3WVuZV4NS+FhYXcf//9Q/RMRrYdO3YQi8XQLZ24EQcFyqb3DdXFjTi6pROLxaivrx/O4QohhBBCiFFgoKG60RwqyzT29881iEajGc9X1RExxUIIIcQwu9RDdf1VfbvcQnW2bXP06NG0+4YrVAdOxbqNGzfyxBNPnHcAraysjCeeeIKNGzeOyAp1PTweD1/5ylcGpe2HH34Yj8czKG0LIcRIs2jRorTbm5ub2bNnz6D1K5XqxOUi04Kwl2uozuv1Dmr7o+X7IEanEXHFt7i4GEVReh/rus7JkycH1Mb7V4QpLS3NytjO5fHHH+fxxx/vs+1b3/oWDz/88JD0L4QQQgghhBBCjES2bROLxQiHwxe0eM75qKurc76Iv+8Gf3e1ut79QohBFwqFWL58OcFgkIA7QFV+FX6XHyNh8PZLb/Pa915j1yu7ONZwjK7WLhKRBF2tXRxrOMauV3bx2vde4+2X3sZIGPhdfqryqwi4AwSDQZYvX04oFBrupzgi9LyuhZNhAAomFODLdW4g+HJ9FEwo6LNfXgeFEEIIIcS5DCRUp2naoE+QGUwXW6lOPpcIIYTokSlUFw6Hh3gkg6O/gFpBQcHQDSSNoQ7Vtba2Zqy6MZyhOgC3282SJUs4dOgQzz//PPfddx+zZ8/G7/ejKAp+v5/Zs2dz33338fzzz9PU1MSSJUtwu93DOu7z8fDDD19wJb5M5s6dK3M6hRCXlQ9+8IMZF4ZZvXr1oPUrlerE5aK/UN2FzI/JFKrz+/0Dbms4VFdXj+r2xeXNNdwDAOeHfcKECTQ1NfVuO3To0IDKeB86dKjP44GuqHchfvSjH7F06dI+2770pS+xfPnyQe9bCCGEEEIIIYQYaRobG1m3bh379u3jwIEDfVZ2DwaDVFVVUV1dTW1tLRUVFRfVVzKZPL3CV3eIbvrYXHYfDTshu1AZmzdvJplMjuoJf0KMJpWVlaxYsYJly5bR1tbGpPxJtMZbaYm3kIqmOLj+IAfXH8x4vkt1UewvpshfhIJCYWEhy5cvp7KycuiexAhmGAYbN24EoDPlrHreU52uR1lNGe2H2ulMdVLkL2Ljxo18/vOfx+UaEZeBhRBCCCHECDSQ++rBYLDPYrmjjYTqhBBCZMvlWqnO6/UOe4WIoQ7VvX+h/zOVl5cPSp8D5fF4uOOOO7jjjjuGeyhZ43a7ee6557j++uuzElbNy8vjueeeGxWBQiGEyJb8/Hyuueaa3ntLZ1qzZg1f+tKXst5nz8K76UioTlxqMoXqTp48yZEjRxg/fvyA2hvtlermzZvH22+/PWjtX3311YPWthAjolIdnH2xfteuXQM6f/fu3f22l22/+MUveOihh/psu++++3jyyScHtV8hhBBCCCGEEGKk2bx5M1/72td46KGHeOGFF6ivr+8TqAOIRqPU19fzwgsv8OCDD/K1r33tdCjuAmzdutVZHdZIgh5DVRS++OEpzuQ+PQZGkmQyybZt2y726QkhBqCyspKVK1dSW1uLgkKxv5ipBVOZEJpAga8An8vXOwlXURR8Lh8FvgImhCYwtWAqxf5iFBRqa2tZuXKlBOrOsHPnTqLRKIZlENOdG5JX1FzR55iekF1Mj2FYBpFIhJ07dw75WIUQQgghxOgx0FDdaJaTk5N2e1dXV5/HEqoTQghxLpd6qC5TQG24q9TB0Ifqjhw5kna7pmkDKhggBm7GjBm88sor5ObmXlQ7eXl5vPzyy8yYMSNLIxNCiNFj8eLFabe//vrrpFKprPeXTCaxLCvtvkyfyYUYrfoLeV3IXJjRHqq75ZZbRnX74vI2YkJ1c+bM6fO4rq7uvM89duwYjY2NvY/dbvegfgh68cUXue+++/qU5rzzzjv58Y9/PKpX5hNCCCGEEEKMTG+99Rb/9E//xFtvvTXcQxGij0gkwve+9z3+7u/+joaGBrBtp0pcexOc3A1Ht0PzNufvk7ud7fF2sG0aGhpYvnw53//+9zNOVutP73WDRAcAM8fnUV4UYNb4vD7bB3J9QQiRHaFQiEceeYRvfetbzJw5E0VRyPXmMi44jsn5k6kpqmFm8UxqimqYnD+ZccFx5HpzURSFmTNnsmzZMh555BGZsPo+69evByCcclZmzhuXhz/f3+eYQEGAvHF5fY6T10EhhBBCCNGfSZMmnXdl49E+Ae58K9W9f6GgHqM9VCiEECJ7LtdQXaZA21DKFOwb6kp1ZWVlaJo2KH2K0xYsWMCGDRuYO3fuBZ0/d+5c6urqWLBgQZZHJoQQo8OiRYvSbu/q6mLDhg1Z7y9TlTqQSnXi0lNQUEBVVVXafVu3bh1we/F4PO320RKq+/jHPz5oi06UlZXx8Y9/fFDaFgJGUKjuIx/5SJ/Hr776ap/QWn9Wr17d5/EHPvCBQbug/corr/DpT38a0zR7t/3FX/wFv/zlL1HVEfPtFEIIIYQQQlwitm7dymOPPcYrr7zCY489JlW3xIjR2NjIgw8+yLp165wwXeQEnHgH2t6DWItTLc62ANv5W48529vec46LnADbZu3atTz44IN9Fss5F13X2bx5s/Mg3g7ADdXFACyYUtRn+6ZNm9B1PVtPWwgxAPPnz2fFihWsXLmSO++8kzlz5px1zS4YDDJnzhzuvPNOVq5cyYoVK5g3b94wjXjksiyr9+ZmZ9KZnFVWU5b22J7t4aQTqtuwYUPGVUGFEEIIIYRwu90ZJwC932gPlZ1vqE4q1QkhhDiXTJWzLpVQXXt7e9rtIyFU11+luvOdazgQmUJ148aNy3pfIr0ZM2awceNGnnjiifOeqF1WVsYTTzzBxo0bpUKdEOKydu2112b8LPv+uffZ8P5K8Gca7Qv1CJFOpvval2OlOo/Hw1e+8pVBafvhhx/G4/EMSttCAJzfknNDYMGCBRQXF9PS0gLAe++9x+uvv84HPvCBc57705/+tM/jwUqirl27lttuu61PydsPfOAD/Pu//ztut3tQ+hRCCCGEEEJc3n7/+98DkLJsPKrC73//+wtejVGIbGlsbGTp0qXOyu16AtobQXcukOcHPHxgRgnTx+VSWZyDz6ORSJk0tnSxuznMn3adoiOWgvARJ/hWUElbWxtLly5lxYoVVFZWnrP/HTt2OBPeTB1SMRRF4brJhQBcP6WIZ147AClnfywWo76+XkI6QgyjiooK7r33XgBs2yaRSKDrOm63G5/Ph6IowzzCkW/Xrl10dnZiWiZd3a+3V9RckfbYK2Zcwd7Ve4nqUUzLpKOjg927d1NTUzOUQxZCCCGEEKPItGnT2Lt37zmPG+2hukwT+HRd7/2MAhKqE0IIcW6Xa6W6TFXihlKmUF0qlSKRSOD3+7Pan4TqRga3282SJUv48pe/zO9+9zv++7//m61bt7Jv3z4SiQQ+n4/q6mquvvpqbrnlFj7+8Y/LxGshhMB5/fzABz7QO+/kTGvWrOHb3/52VvuTSnXicjNv3jx++9vfnrV9y5Yt2LY9oPvgoz1UB0747be//W1WF4yfO3cuDz/8cNbaEyKdEVNaTVVVPvOZz/TZtnz58nOuIPPaa6/xxhtv9D4OhULceeedWR/fli1b+OhHP9qntOZ1113H73//+1H1YiWEEEIIIYQYPaLRKPX19QAcTjiLe+zYscMJMgkxTCKRCMuWLXP+H6a64NQe0LsI+lx88cNT+Jf753PfzZO4fkoxVxT4KcjxcEWBn+unFHPfzZP4l/vn88UPTyHoczlBvFN7INVFNBpl2bJlGSeunamurs75It4O2EwfG6Iw6AWgMOhl+thcwO6tVtd7vBBi2CmKgt/vJzc3F7/fL4G689TzOhZOOdXnQmUhcorSTwjOKc4hNCbU5/j169cPwSiFEEIIIcRoNW3atPM6brSvKt/fBL4zJ/5lujYx2kOFQgghsidTqC4cDg9KtbShNhor1UHmMODFyBSqKy8vz3pf4tw8Hg933HEHP/3pT3sXYLQsi1gsxo4dO/jpT3/KHXfcIYE6IYQ4w+LFi9Nu37JlC62trVntSyrVictNpsWdW1tbaWpqGlBbmUJ12V40YjC53W6ee+65jJW9ByovL4/nnntOil+JQTdiQnUAjz76aJ8L0WvXruWJJ57IeHxzczOf+9zn+mz70pe+RHFxcb/9KIrS58/rr7/e7/ENDQ3ccsstfS6ez5kzh1deeUUunAshhBBCCCEGzVtvvYVpmsRNi7Dh/G2aJps2bRruoYnL2DPPPENbW5tToa7lXbBNZozL5UefmcuiWWW4tP4vNbg0lUWzyvjRZ+YyY1wu2KbTjp6gra2NZ599tt/zDcNg48aNzoNEBwALpvS9DnBDdXGf/Rs3bsQwjAE/VyGEGAls2+4N1XWmnNXOM1Wp63HFzCv6HL9hw4ZLYkKXEEIIIYQYHOcbqhvt98bPN1SXaUErqVQnhBCiR6ZQnWVZl8TCiJnCaSM9VJcpDHgxjhw5kna7VKoTQggxWixatCjtdtu2+Z//+Z+s9iWV6sTlZu7cuRn3bdmyZUBtXQqV6gBmzJjBK6+8ctHBury8PF5++WVmzJiRpZEJkdmICtUVFxfz9a9/vc+2pUuX8vnPf56jR4/2brMsi//4j/9gwYIFNDY29m4fO3YsX/3qV7M6pmPHjrF48eI+afycnByWLFnCli1bePXVVwf0RwghhBBCCCHOV88E+g7D7PO3VN0Sw2Xz5s2sW7cObBvaG3sDdX93+8zeSnHnqzDo5e9un3k6WNfeCLbN2rVr2bx5c8bzdu7c6UxKMHVIOpMTFlQX9Tnm+indj5NRsHQikQg7d+4c0PiEEGKk2LdvH62trZi2STTlvO6V1ZT1e07ZDGd/V6oLy7ZoaWlh3759gz5WIYQQQggxOl0uobr+VsU/czX9TJXqJFQnhBCiR6ZQHUBnZ+cQjmRwZArVFRQUDO1A0hgpleokVCeEEGK0mDJlChUVFWn3rV69Oqt9ZapU53K5pIqouCTl5uYyderUtPsu11AdwIIFC9iwYUO/ocP+zJ07l7q6OhYsWJDlkQmRnmu4B/B+jz76KHV1dfzXf/1X77b/9//+H//8z/9MRUUFeXl5HDx48KwPwX6/n+effz7rK+Ls3bu3T6APnF/6n/70py+oPVkRWgghhBBCCHE+4vE427dvB/qG6q7wutm2bRvxeBy/3z+cQxSXoRdffNH5InoS9C6CPhePfnQaXrd2Qe153RqPfnQan/+XbXQlu6DrJATHsGrVKubPn5/2nPXr1ztfJDoBmyllIUpy+15ELM3zMaUsxLvHIxDvhJxi6urqmDNnzgWNUwghhlPP614k5UzszSnOIVTqTOa1sbFMC9u2URQFVVNRUAiWBskpzqGrpYtwKky+N5+6urqMN3WEEEIIIcTl7XzfJ472UN35VqqTUJ0QQohz6S9UFw6Hh3AkgyNTxbeRUKnO7/fjdrvRdf2sfdkO1cXj8YzfCwnVCSGEGC0URWHRokX85Cc/OWvfmjVreu8xZUOmSnVSpU5cyubNm8fevXvP2j6QUJ2u65immXbfaAzVgVOxbuPGjTz55JP8wz/8AydOnDjnOWVlZTz88MM8/PDDuN3uIRilEI4RVakOQFVVXnjhBe66664+203T5L333mP79u1nfQAuKiri5Zdf5oYbbhjCkQohhBBCCCHE4Nm8eTO6rpOwLBKmBUDCtEhYFrquD3hFIyEuVmNjIw0NDU6Vui7nYtd9tRMHXKHu/QqDXj5780TnQfQE2DY7d+6kqanprGMty2LDhg3Og7hzI3vBlKKzjuuzvfu4DRs2YFnWRY1VCCGGmm3bvRVqw0lnQlbRlCKOHDnCnj172L5tO1u3bmXbtm1s3bqV7du2s2fPHpqbmymcUtjnvLq6OlnwSwghhBBCpFVQUMCYMWPOeVx/ld5Gg/MN1UWj0bTHjPZQoRBCiOyRSnXDR1GUjOG+bIfqMlWpAwnVCSGEGF0WL16cdntTUxPvvvtu1vrJVKlutF9PEKI/8+bNS7t9y5Yt531vNlOVOhi9oToAt9vNkiVLOHToEM8//zz33Xcfs2fPxu/3oygKfr+f2bNnc9999/H888/T1NTEkiVLJFAnhtyIq1QHzg//b37zG26//XYee+wxduzYkfa4nJwc/uqv/oply5ZRWlo6tIMUQgghhBilbNsmHo9jGAYul6v3Q4oQYmTpmUDfofddiahTN/F5Verq6rjpppuGY2jiMrVu3Trni0QHmDoFOR4+MCM7n8U/MKOUX7zRREcs5bTvL2DdunXce++9fY7btWuXMyHBMiDprBp/Q3Vx2jYXVBfz8zcaIRUBy6Cjo4Pdu3dTU1OTlTELIS5vXV1drFq1in379g1qUM00TU6cOIFlW7R1tRFPxmnX2okfjac93jAMwuEw4XCYhJYgEo1g+AzKQ+UcP36cr3/962jahVUXPR+KolBdXc0nP/lJuUEqhBBCCDHKTJs27ZwrRo/2UJnf78+478yJf1KpTgghxLn4/X5cLheGYZy171IO1Y2ESnXgjOPUqVNnbZdQnRBCCJHeBz/4QRRFSXtPa82aNVRXV2elH6lUJy5HmUJ1nZ2dHDhwgMmTJ5+zjUs1VNfD4/Fwxx13cMcddwz3UIRIa0SG6nrcdttt3Hbbbezfv5+33nqL5uZmUqkU+fn5TJ8+nRtuuOGCXigGMtHl5ptvlhWchRBCCDHqNTY2sm7dOvbt28eBAwf6rLQbDAapqqqiurqa2tpaKioqhnGkQgiAZDLZW4muw3BCdXmTquh87wAdhskYr5vNmzeTTCbxei+uSpgQ52vfvn3OFwmn4tHN00twaWpW2nZpKh+YUcJLW5qd9v0Fp/s7Q0/YlEQnYDOxJIcrCtJPiBtb4KeyJIfGU13O8YEi1q9fL6E6IURW/PjHP+a1114bkr4Mw2DfoX1ErAjuoBtvgRfDMjBsA9M2sWwLbEABVVHRFA2X4sJb4EXxKUSiEfbG9jJlwhR27tw5aOM0TRPbttm6dSstLS08/PDDg9aXEEIIIYTIvmnTprF27dp+jxntoTpFUQgEAmkn+Z25TUJ1QgghzkVRFPLy8mhtbT1r32gP1VmWlfE5jKRQXTrZDtUdOXIkY/+yoJQQQojRpKioiHnz5rF58+az9q1evZovfOELWelHKtWJy9GcOXNQVRXLss7at2XLlosO1fW3SJQQIjtGdKiux+TJk8/rBUUIIYQQQvS1efNmXnzxRRoaGjIeE41Gqa+vp76+nhdeeIGamhpuv/32jKuoCCEG39atW0kmk6Qsi7hpoagqUz/9V2z69jJipkXKsiCZZNu2bVx//fXDPdyskCqaI5tt2xw4cMB5oDuTzKaPy81qH9PG5gLNve3v378f27Z7/x/Ytn06VBdvB5xqdP25obrYCdXF2yFQxIYNG/ibv/kb+b8lhLhojY2NAHTpXbQl2gatH13XOXXqFAYGaOAf76fL6Eq/CJgNlm1hYaGjoygKvvE+9N06bXobWw9spaSkBLfbnbWxxbpiJFNJ9JSOZVuoCRXVUDlw4ACtra2ycIcQQgghxCgybdq0cx5zKUyCyxSq65n4Z1lWxkmAEqoTQghxptzc3EsyVBcOhzMuQF9QUDDEo0kv0ziGqlKdVKkTQggxGi1atChtqO5Pf/oTuq5n5f6RVKoTl6NgMMi0adPYtWvXWfu2bNnCXXfddc42LvVKdUKMdKMiVCeEEEIIIQYmEonwzDPPsG7dOmeDDVZcx0qY2LqJrZ+uZqG4VRS3hurTUP1uGhoaaGhooLa2lvvvv18mCggxDHqCQz1V6vInTyFnzBUUTKmmfd9eOgyTUo9KXV3dqA7VSRXN0SMej5/+9zGci3mVxdmdSDexJKdP+9FolEQi0bvq1r59+5wJCpYJSada3g3nCNUtmFLEr9Y3OcdbJi0tLezbt4+pU6dmdexCiMvPBz/4QQ4cOECOOwfTNmmONGPaZlb7ME2TaDSKpXW/d/eAb4oP27ZRXSq+XB9uvxuX14WiKtiWjZE00OM6iXACy7DwT/ETORDBSlqklBTH2o8RDAbRNO2Cx6XrOolkAsMwercpmoIr5kI1nAqmeXl5snCHEEIIIcQocz6hul/96lfk5eXx8Y9/HI/HMwSjyr6cnBxaWlrO2t4z8S9ToA5Gf6U+IYQQ2ZWXl5d2+2gP1bW3t2fcd7lVqpNQnRBCiEvJ4sWL+c53vnPW9kgkwltvvcWNN9540X1IqE5crubNm5cxVHc+JFQnxPCSUJ0QQgghxCWmsbGRZcuW0dbWBjaY0RRWJIVtpq9mYacs7JSF1aWjaEnUkAct6GHt2rW88847LF++nMrKyiF/HkJcrnRd710drEN3JueXzLkagOLZVzuhOt2k1ONm06ZNWVsxbChJFc3R58zgBN0r1Po8Fx7ISKe3vTNWwNV1vTdUt379emdjohNsm/LCAOOLnIvvNjaWaWHZNqqioGoqCgrjiwKMK/DT3B53zgsUUldXJ6E6IcRF++hHP4qiKPzsZz8jl1z8BX6ORI7QpTsTcF1eF5NunITLe2GXX03TpOlQE17Di2VbGJqB9wovrhwXodIQvlwfpCm6qXk0vCEvwZIgiXCCyMkIpbeWkjyWxGW6UBUVl8tFxYSKAQfrTNPk1KlTdLR2ENvl3BS1bRs7ZWNFLJJmEgWFUGmIsCeMETUIuoPkenJl4Q4hhBBCiBFO13Vef/31cx73+uuv8/rrrzNmzBi+8pWv8PDDD4+661KZJvL1TPyLRCIZz5X3sUIIIc50qYbq+gumjZRKdRKqE0IIIQbu+uuvJycnJ+1iMmvWrMlKqC7TQjU5OdldsFeIkWbevHn84he/OGv71q1bsSwLVVX7PT8ej2fcJ6E6IQafhOqEEEIIIS4hjY2NLF26lGg0iq1bGG0J7JQTyskLhLhh2jVUj53E+OJx+NweEnqKwy3N7Dv6Huv3bKIzFsHsSGLFDFyFPtra2li6dCkrVqyQYJ0QQ2THjh3EYjF0y6bLtEBRKL7yKgBKZl/Fuy/8mi7TQrdsYrEY9fX1oyZo9v4qmjbQqRuETYuYaZG0LCwbVAW8qkpAU8nVVPLcLpmMP8xcrjMuHygK2DaJlAlZvPad6P59hXI6JdIzMc+27d4KjiScVXLnVYY4fOQIXdEoXbEY5hnBP83lIicQICcYZN7E3O5QXXtvqO4zn/kMipImjSKEEOdJURQ++tGPUlNTw3e/+12am5uZmDeRk7GTnIydxEgaHNl+hKvuvIr88vwBt3/gwAFC3hCWbREzYnhsD+6Am7yxeaiu/m+6OAMEX54PT46HzqOdaD4NRVEIuAKoiopSpDCxauJ5jycWi7F33170iE7kvQhmysSyLawuC7vLCUO7PC5yx+bi9rlJmkmSZpL2RDsu1UWxv5gif5Es3CGEEEIIMQLt2rWLe++9l23btp33OSdOnODRRx/lt7/9Lc899xwzZswYxBFmV6aJfD0T/yRUJ4QQ4nxdjqG63NzcoRtIP4Y7VFdeXp7VfoQQQoih4PF4uPnmm/nDH/5w1r7Vq1ezfPnyi+5DKtWJy1WmeVvRaJR9+/Yxbdq0fs+XSnVCDC8J1QkhhBBCXCIikQjLli0jGo1iJU2MljhYNjm+AJ++6RPcOO0aXNrZb//K8kuYP3kOn7rhY7y5ZxO/fuMluhIx9JMxXMV+okRZtmwZK1eulEkDQgyBnuBQR3dAKG9iFd68fAC8efnkTaqi870DdBgGJR43dXV1oyJUd2YVTRs4mdI5lTLQrbOraFo2xE2LuGnRCriTOiUeF6Uet0zGHyZ+v59gMEg0GgWXD/QYjS1d5PrdrNp8hH3HI2cWmLsgR9pi7DkaAc0F4T14PB4ee+wxFEXBNE1OnDgBtoUeaSWZiFNoqhw7mn41fNMwCIfDhMNhikydaDSK1zBxF0zk+PHjfP3rXx9whaaBUBSF6upqPvnJT8qqe0Jc4iZNmsQPf/hD/vmf/5k1a9ZQGigl6A5yOHKYWFuMun+uY+qiqUy6cdJ5h3k7OjpobW0FIGEmsG0bd8BNfnk+ijqwQLDqUskvz6fjSAd6TCdhJgi4ArS2tlJUVJRxAtKZYrEYu3fv5lT9KVq2t2CaJrZpY4UtVFvFX+in/KpyZv2vWXiDXsyUSeREhLamNprrm0lFUxzvOk5nspPyULks3CGEEEIIMYLU1dXx53/+54TD4Qs6f9u2bVx//fW88sorLFiwIMujGxwXU6kuGAwOypiEEEKMTplCdRf6e3WkaG9vT7s9FAr1XYBvGGW6ppVp7BfqyJEjabdLpTohhBCj1aJFi9KG6jZt2kRHR8d53Tfqj1SqE5er2bNno2kapmmetW/Lli0XHKrTNG3EvAcX4lImP2VCCCGEEJeIZ555xgmr6FZvoG7q2CoeuvWzFATT39Q5k0tzcXPNAmZX1PD0yz9l79EDGC1x3KUB2traePbZZ3nkkUeG4JkIcfkyDIONGzcC0KE7F1pK5sztc0zJnKudUJ1uUuJxs3HjRj7/+c+P6IsoZ1bRTFgWTfEUMdMCwBPKZcz868ibVEXO2HI0rxczmaTr6BE63zvAic0bSUXCHE3odOgmFX6PTMYfBoqiUFVVRX19PbgDoMfY3Rzmrf1tvNZwIit9HG6NEY7roClghMnLy+Ptt9/u3W8YBica95CTjFAU0Bib6wJLB9MA2wTrjIuTqgaKBpqLsbkucj02bdEIXQd2MaZyGjt37rygMZqmiW3bKIpyzlDejh07aG1t5ctf/vIF9SWEGD18Ph9f/OIXueqqq1i5ciXEYHL+ZJqjzYRTYfb8cQ8t+1uYfftsfKFzryR47NgxAFJWCtMyUTSFvLF5Aw7U9VBU5/zWg62YpknKSuFRPRw7fuycN0cNw6BhRwOH/3SYrqNdWLaFnbShC3JLcgmVhpj1v2YxdtbYPuflFOVQNqOMaYun0byjmd3/vZt4PM6BjgNU5lZCFFm4QwghhBBimO3ateuiAnU9wuEwf/7nf86GDRtGRcW6c4XqotFoxnMlVCeEEOJMl1uluoKCgqEdSD+GolKdaZq91+neT0J1QgghRqvFixen3W5ZFv/zP//DJz/5yYtqXyrVictVIBCgpqamzxyXHlu2bOGee+7p9/xMoTq/35+V8Qkh+jdyZ10KIYQQQojztnnzZtatWwc2GG2J3kDdo594EK/bM6C2CoJ5PPqJB3nipZVOsK4tgbs0wNq1a6mtrWX+/PmD9CyEEDt37iQajaJbNtHu0FnJ7PeF6q68iv2rnidqWhi2TSQSYefOncyZM2cYRnxuZ1bR7DItDsQSmDa4AgEm/687GDP/OtQ0gcBASSkls+cy6aOf4MTmjez/jxeIxWLs60pQFfBBVKpoDrXq6monVOfLhVgLr+8+RX6gu1KcZYCZuuC2bRtUI84VOTZoFigJcj0eaDsIgK7rnDp1CredAhVmjdFQUhEylsezTMAEM4WiKMwq1VjbaOKOn+Lknk5KSkpwu9NXuTuTruvEYl0kUyn0lI5lWb37VFXF7XHj9XgIBHL6tpdTAt4gjY2NF/w9EUKMPjfddBNTp07lu9/9Lnv37mVC7gTaE+0c7TpKy4EW3lj5BrNvm01pdWnGNmKxWG9ljFT362qoNITqUi9qbKpLJVQaInwsTMp0QnWRcIRYPEbAn/lG5tvr3mb/y/sx4yamZWJHbVyKi7zKPIomFnHVnVcRKMh8vqqpjL96PCVTStj22220N7XTGG6kKr9KFu4QQgghhBhGuq5zzz33ZK2STjgc5t5772Xjxo3n9Xl7OGVaHb9nNf1MleoCgcCgVr0XQggx+lyqobpM1d4utnJNNg1FqO7kyZNpK42AhOqEEEKMXtOmTWPcuHE0NzeftW/NmjUXHaqTSnXicjZv3ryMobpzyRSq8/nOvWCrEOLiXdxsDCGEEEIIMSK8+OKLAJjRFHbKJMcX4KFbPzvgQF0Pr9vDQ7d+loDXj50yMaPOhN5Vq1ZlbcxCiLOtX78egE7DuUkXmlCJr7CozzG+omJCEyqB09Xs6urqhm6QA9RTRTNhnQ7U5U2azDVfX84V19+YNlB3JtXl4orrb+Sary8nb9JkTBsOxBIkLKt3Mr4YGgsXLnS+8OWD5qa9K0VxyOtsU12gup2qcaY+4D96KkmOyybkgZDbIuTSCWopiLdhRk8Raz1CQEngUUxyXBYLxwO2jVtTKcv3MbksyJUT8phTmc+VE/KYXBakLN+HW1PBtqmdADkuC49iElASxFqPYEZPQbwt7R89fILoqUN0tRzGjrXhMaLkqElCLr33T46axGNEsWNtdLUcJnrqEKlICwQKwOusXP+hD31oWP6thBDDp7S0lMcff5w777wTRVEo8BUwOX8yPs1HqivF5l9sZtcruzCN9BNy2traADAsA9u2UV0qvtzs3Czx5fpQXSq2bWNYhtNfa1vaY03DZMu/b2HXql2YCRPTMLHaLVyKi4LxBUz9s6lc/7nr+w3Uvb/va//qWgoqCrBsiyORI9jYrF27ls2bN2fl+QkhhBBCiPP35JNPsn379qy2uW3bNp588smstjkYzlWpLlOoThZ1EkII8X6XaqhutFeqszMtxjdA6cIGPSRUJ4QQYrRSFCVjtbrVq1dfdPtSqU5czubNm5d2+/bt2zEMo99zJVQnxPCSSnVCCCGEEKNcY2MjDQ0NYIMVccJvn77pExQE09/IOV8FwTzuXvhJfrzmV1iRFFrQw86dO2lqaqKioiIbQxdCnMGyLDZs2ABAR/fFlJI5c9MeWzJnLpFDjXQYBsUeFxs2bOCBBx5AVUfWuik9VTRtoCme6g3Uzf7Cl9E83gG15c3LZ/YXvkz9j35I53v7aYqnqM7xSRXNIVRZWUlNTY3zOydnDISPsKu5k7+8fgIvbDqCgRtUDfS4U7kOCLgVPjkziN+tZGxXtyyaTsWwbA1cHlDd+P1+xpeXY5omTYeaMIwgWBZ+kkwv0cgLqEwoDFAU8qAq72tbA59bozDHQ3mhn9ZIikNtMZbc4Gf3KZM4XlBVXC6NigkVfVaZN02Tk6dOdU+g8zsbLcOpfGdbzp9uCVNl7cEUCVMBRSGctDketsgzWqmqyud//+//zUc+8pGsff+FEKOHy+Xi3nvvZfbs2fzgBz+gra2NSfmTOB47Tlu8jYPrD9J6sJWr7ryKYHGwz7nRaBQAw3ZeR325Psj8EjowitNerC2GYRu4cBHtip51WLQlyvbnt9O8r3viUBzMsImqqpRWl3L1p6+meFLxgLvXPBpzPzWXtU+tJZ6I0xpvpdhfzKpVq+T3uBBCCCHEEEqlUvzDP/zDoLT95JNP8uUvfxmP58IWexsK5wrV9bwnf79gMJh2uxBCiMtXbm5u2u2XaqhuNFSqMwyDWCyWlWo4mUJ1Ho+H4uKBXxsTQgghRopFixbxL//yL2dtf++99zhw4ABVVVUX3LZUqhOXs0yhulgsxp49e5g5c2bGc+PxeNrtEqoTYmiMrBmXQgghhBBiwNatWweAFdexTZv8nFxunHZNVtq+cdo15AVC2KaNlTD69CeEyK5du3bR2dmJYdtEDSe4UzLn6rTHlsx2wnZRw8K0bTo6Oti9e/eQjfV89VTRPJnSiZkWrkCAmvvuH3Cgrofm8VJz3/24/H5ipsWplA5IFc2hdNtttzlfBEvBnUNX0qT+UAffuXMm4wr8oKjgyQGXc2Evptu8tj/G9FI3H6vJOevPX0wPML3Q5sYKNwsn+Vk4OY+FkwLcXTuVj109jllFOgsmeFk40cfCcov55S7K8tzMKs+jJNd7dqDufVRFoSTXy6zyPMry3Mwvd7Gw3GLhRB8LJni5skjnY1eP42NXj+PPphdQ6WnlqhKThZMCLJygsXCcwcJym4UTVBZWuFhY6WFhpYfKAo0tR5IkdAvbMmmJWRyJahi2QiwWw+12M2vWLJRzjE8IcWm78sorefrpp7nmmmtQFZWxOWOpyK1AUzTCR8O8+U9vcnjb4d7Vs23s3om8pu1UsnP73VkdU097Pe3HumLYdPdv2xzedpg3/+lN2g+3Y6ZM3BE3elgHG8ZfPZ4PPPyBCwrU9fDl+pjx5zMAaIm3YNt278IdQgghhBBiaPzud7/jxIkTg9L28ePH+d3vfjcobWdLpol8PRP/pFKdEEKI83WpVqprb29Pu30kher6q5qXKRQ4UEeOHEm7fezYsSNukUshhBBiIP7sz/4s4741a9ZcVNtSqU5czq688krc7vT3drds2dLvuVKpTojhJZ/whBBCCCFGuX379gFgJZyJsQumzselZacgsUtzcUN3QM+KG336E0JkV11dHQBhw8QGguPKCZSUpj02UDqG4Nhx2ECn4fzsr1+/fohGen56qmjawKmU8/ox+X/dgTcv/6La9eblM/kTdwJwMmVgg0zGH0Lz589n4cKFoChQUAmKxq7mMP+6rpFvfXIGi2aOcQ50ecETBEXlWMTk/7zcyqp3or3BEYCUYbH3WIRowgAUcDsX0ouKisjPz6ejo4O21lbnYD0G2AR9LqZeEcLjGtjlDI9LZeoVIYI+F2B3twetra10dHQQi8XYvWcPekp3qtGlomAkwLZxaypl+T4mlwWZNT6Xxqibn9frJCwVt0vjeEyjLQ4YCUp8FjOmTELXdZYuXUpjY+PFfLuFEJeA3NxcvvnNb3L//ffjdrsJeUJMLphMjjsHM2Xy9qq32fHCDvSEjmVaGN3Vaq3uypgub3be1/foaa+nfcMwsEwLPaGz/fntvL3qbcyUCSlwh91YSee4wspCbv7KzXhyLr7iyLg54/AEPRiWQSTlTFiWhTuEEEIIIYbOf//3f4/q9i/WuSrVSahOCCHE+eovVHfmtfDRJlMorb8g21DrL+CXrVBdpkp148aNy0r7QgghxHApKSnhqquuSrvvYkN1UqlOXM68Xi+zZs1Ku2/r1q39niuhOiGGl4TqhBBCCCFGMdu2OXDggPO17gRrqsdOymofU66Y2Kf9/fv3j+obQUKMRLZt94bq2rt/1nqq0WXSU8Wu5/gNGzaMqJ/NnsnxnbqBbtl4cnMZM/+6rLQ9Zv51eEK56JZNZ/fzl8n4Q+eBBx6gsLAQ3D4ontIbrPvKL+uZPi6Xr95aTcDjAlVzghhTUK4AAQAASURBVHWaG9OCf9kS4Vur22ntMjgVTvLO4c7TgTpPDigqbo+biooKAI4dO+Z0aCTBMtE0hcljgmjqhVV/09QzzrdMMJOAc2N87769mIbhbE9Ge/ubWJLD7Io8JhQFUBSN7/wpzHPbooCC2+MlJzefaeUFTB+Xy6zxeUwscqO1vQupLqLRKMuWLcs4GU8IcflQFIWPfOQj/OAHP6C8vBy36mZi3kRKA054/ujbR3nzR2/SfuiMVcC7f6UrF/ial3EsPe2d8Zah/VA7b/zoDY6947zujgmMwdvlRbEUVI9KQUUB1R+qRnNpWRmDqqmMm+1MPorozmukLNwhhBBCCDF0zrUy9sU61ySh4XahobpgMDhoYxJCCDE6ZQrVGYZBPB4f4tFkz2ioVCehOiGEEOLiLF68OO321157rXcByAshlerE5W7evHlpt19opTq/33/RYxJCnJuE6oQQQgghRrF4PE40GgXA1p0qEuOLs3shf0JJeZ/2o9Foxg9yQogLs2/fPlpbWzFtm0h35bmSq67u95yeUF3UMDFtm5aWlhE1Ib1nLGHTee0YM+86VFd2qu2oLldvQC9smn36E4MvFAqxfPlyZzKZJwdKpoE7h66kwVN/fJefvt7I9VMKCflcJAwbXfWRUrykTJsNjTHu/fUxXt7ViWnZTvDOGwRVQ3O5mFo9FZfLRSwWOz2JrTv8NqEwMOAKde/ncalMKOq+YG847Z48dcr5vWZbkOqipyLerPI8SnK9qIrC1iNJHvpdCzuOJnGq6vmdynqKwvRxuTz/0PU8/8XrmTEuF2wTWt4FPUFbWxvPPvvsRY1ZCHHpmDhxIk8++SQf/vCHASgNlDIpbxJu1U2sPcZbP3uLtnfanJB8T/bNym5gvrc9xQn1t73Txls/e4t4exy35mZS3iRKAiXEYjFKS0sprCzE7XNTWFGY1XEUTHBWNo8bzgQzWbhDCCGEEGLoDPY1lJF+jSbT6vg9q+n3XG9/P6lUJ4QQ4v0yherAqVY3Wo2GSnU+nw+v15t2n4TqhBBCiHNbtGhR2u2dnZ0XtRiPVKoTl7tMobodO3ag63rG86RSnRDDS0J1QgghhBCjWJ/VgbrnoPrcnqz20dveGXNc+/uQJ4QYuPXr1wMQNkxsIDCmjJyysb37TdPEMAzM7gAZQKDsCgKlY7C6zwN6q90NtzOraMa6Q3V5k6qy2kfeRKcqZ7y7fZmMP7QqKytZsWLF6Yp1JVMhrxw0Nx2xFK81nKQzrtMSSbCjsYMdR2LsOmUSTlhEkjY/2Zrg9+9aGNrpCnXTp03rXaGuta3N6cjSwbZxaypFoez8fisKeXBrKtg2ejKOnkqRSqVAj9ETqJt6RQiPS0U3bX7yVpj/u6aNzoQFSk/1PQ+KovCp6ybw+F2zKM3zURj08ne3zzwdrGtvBNtm7dq1bN68OStjF0KMfj6fjwcffJBHH32UnJwcAu4Ak/Mnk+fNc0JuO9pofrUZO+78TjOSF74aaDo97dlxm+Y1zbTtcEJ8ed48JudPJuAO4PP5qKyspLKyEt123veHxmR3AnFuWS4Aye7gtCzcIYQQQggxdJLJ5KC2P9Lf111opToJ1QkhhHi//kJ14XB4CEeSXZlCaSOpUh1kHk+mSnsDlSlUV15enpX2hRBCiOF0ww03ZKyAtXr16gtq0zAM5757GlKpTlwuMoXqEokEu3btyniehOqEGF4SqhNCCCGEGMVcZ1Z96q5mkdDTX6C4UL3tKae3ud3urPYhxOXMtu3eMFxHdzgub8ZMjhw5wp49e9i2bRtbt27t8/eePXtobm4mr2ZWn/Pq6upGRLDszCqaScsJveWMze5Nxpxx4wFIWFJFc7hUVlaycuVKamtrQVEgOAbGzILCSRAoRvXkUF4UZOrYXDwulZTt4lDMR4fhBdXF2oMpnnqzDd0dYtbMWX0upHf1rApvOuGPopAHVVHSDWPAVEXpDej1TCRUzBRYJpqmMHlMEE1VaO40+D9/aOV3u7pX09O83VX1VAqDHh67Yyb33FiBpp6+tOJ1azz60WnkeF2gd0HXSQBWrVqVlbELIS4dN954I0899RTTp09HUzXGh8ZTHixH0zRix2KcXHMSK2Whx7O7mIUe17FSFifXnCR2PIamaZQHyxkfGo+maEyfPp3HH3/cCU1D7/sKzaNldRw97Z35vmUkLNxh2zaxWIxwOEwsFhsR76uEEEIIIbItU1WXbBnpk30kVCeEECJbLtVKdZlCaaMlVJetSnVHjhxJu10q1QkhhLgU+Hw+Fi5cmHbfmjVrLqjNeDyecZ+E6sTloqamJuO1t/6qQGb6+Rnp19mEuFS4zn2IEEIIIYQYqfx+P8FgkGg0iuJWsVMWh1uaKcsvyVofh045NwwUtxMaCAaD8oFNXBa6urpYtWoV+/btG9QJ1aZpcuLECSzbpjWWIJ5M0OINED56NO3xhmEQDocJh8OkvAGi0Qimz0eFz8Px48f5+te/jqZld+L7mRRFobq6mk9+8pPk5ORkHGMPq/tbp2V5wlZPe9b7qmhmWk1NDI5QKMQjjzxCbW0tq1atYufOneAvcP50ywVqKnQOHjxIR0cHJw3osg3GB006DDc/XNfOA+5WPlhTiqIo2Nh0dU9kw3YCo0Ffdi9fBH0uTMt2/q+qLlTLAM3FhMIAbk3htXdjPLMxTMKwAQU8AVCdMVxbVcQXPzyF3ED6gHlh0Mtnb57IU398F6InIKeUnTt30tTUREVFRVafhxBidCstLWXFihX827/9G7/97W8p8BVQppVxJHkEM2oSPxLHFXARLAn2WeDigtmQCCeIH4ljRk1US6XMV0aBr8CpvvmpT3HXXXf1qVyiKAq2bWOmzH4aHrie9pQzAtPDtXBHY2Mj69atY9++fRw4cKB3YQBwPvtUVVVRXV1NbW2tvI4LIYQQ4pJQXV3N22+/Pajtj2SZrmd1dTmL6pz5fvBMwWBw0MYkhBBidAoGg6iqitW9+N+ZRmuoLplMZpzQW1BQkHb7cBnMUF04HM74nkBCdUIIIS4Vixcv5o9//ONZ2zds2EA4HCY3N3dA7fV8rk4n02dxIS41Ho+H2bNns2nTprP2bdmyhc9+9rNpz5NKdUIMLwnVCSGEEEKMYoqiUFVVRX19PYpbw05Z7Dv6HvMnz8laH+8eO+j05XZCOpMnT+4z+VWIS9WPf/xjXnvttSHpyzAM9h5pJqK60fLycBeXYtg2um1j2mCdEepTFQVNAbei4C4uxQ4EiYQ72R3uZGr5WCfUNMh27NhBa2srX/7yl9PuP7OKpqo4wTfzjAn62dDTnipVNEeE+fPnM3/+fJqamnqDCfv37++96ex2u7nqqqsA2L9/P/n5+fg9Lmg/SCIZ4Yf/vY/tTe18/s8m43UpmD3BTMsJXQSyXCEp4NFIGc5EB5dio2Dj1hT8XhffX9vBuoPdFyxVF7j9oKi4NZXP3jyRW+dccc7fgx+YUcov3miiI5aCRAf4C1i3bh333ntvVp+HEGL00zSNu+++m8mTJ/PYY49RWlTKkdgRFEVB9ahYhkUinMCXd/E3TBLhBJZhoXrU3texMUVjAPjGN77BtddeC/RduMOreUkYCSInIuQUZe+GZ/h4GACv5oTkh2Phjs2bN/Piiy/S0NCQ8ZhoNEp9fT319fW88MIL1NTUcPvttzNv3rwhHKkQQgghRHbNmzdvUEN1V1999aC1nQ39VaqzbVsq1QkhhDhviqKQm5ubNsQ1WkN1/QXSLqdKdc3NzRn3SahOCCHEpWLRokVpt5umyeuvv87HPvaxAbXXUwE+HalUJy4n8+bNyxiqy0RCdUIMLwnVCSGEGJFs2yYej2MYBi6XC7/fLyEeITKorq6mvr4e1adhdenU7d3Mp274GC7t4t/qGabB+j3OhzzV7+rtT4jLQWNjIwBRw6RFN/o/+CLous6pU6fQFRVUcE+aQtSyM1bHs2wbywYdG0VRcE+agrljCy2WTWfTYUpKSgY1XFbscRHUtN7vTzp9JuOrKnHTouvoEQIlpVkbR1fzYQB8qlTRHEkqKip6g2O2bZNIJNB1Hbfbjc/nQ1EUDh48yHe/+12OHDkCxdUQOQbhY6zdfYq9RyN86ZbJZ7Wrqtl9H6iqCqZlAzaa4vystSdVvvz7Vk5Eu6sxuXzgcsIe44sCLPnINCpLzi9Q4tJUPjCjhJe2NEMiDP4C9u3bl9XnIIS4tPSEkFWPiubVMC2T3HG56OhETkbw5HhQXeoFt28ZFpGTzuTg3HG5dKqdaC4Nxe28vp65euiZC3f4XX4SRoK2pjbKZpRdxDPsq/1QOwB+l1NhdigX7ohEIjzzzDOsW7cOcH5fhVNhonqUuBEnaSaxbed9llfz4nf5CbqD5HpyaWhooKGhgdraWu6//36ZWC2EEEKIUemWW27hZz/72aC2P5JlmshnWRapVEpCdUIIIQbkcgrVXU6V6voL1Y0dO/ai2xdCCCFGgpkzZ1JWVsbx48fP2rd69eoBh+qkUp0QjkyLc9bX15NMJvF6vWftyxSq8/v9WR2bECI9CdUJIYQYMRobG3srmxw4cKB3UiE4E+Wrqqqorq6mtraWioqKYRypECPLwoULeeGFF1D9bhQtSUdXmDf3bOLmmgUX3fabezbRGYugaAqqz9XbnxCXgw9+8IMcOHCAoEvDtOFQIomRPud2wUzTJBqNYru92IDt9aHNmutM5Ha58OYX4A7koPl8KKqKbVmYiQR6rItkRzu2YaBdORdr905swAKaOyMEg0E0LbuVvVwKTPB5CXa3+6EPfSjjsWdOxg9oTqiu870DlMyem7XxdB58DwC/5gQMpIrmyKMoCn6//6yLfBMnTuTJJ5/kJz/5CX/84x8hdAV4c6HtPY53JvjG8zu5rszgg5MD9PyLWpYNWfwvbZl2d6hOQcHiTwcN6o5G0VQVFBXcAVCdDm+5sozPfWASXvfABjBtbC7QDLqzIt/+/ft7QxpCCPF+dXV1AHSmOvF5fVAAPq8Py7AwTZPOo53kl+ejXEDI2LZsOo92Yps2mqrhc/nIGZsD7RBOhfG5fNTV1fHBD36w95yehTuC7iDtiXaO1h9l2uJpqNqFB/t6WKZFc70zMSnkDvX2NxQaGxtZtmwZbW1t2Ni0xltpibdgWGcvoGDbNgkjQcJI0J5ox6W6KPYXU+QvYu3atbzzzjssX76cysrKIRm7EEIIIUS2fPzjH2fMmDGcOHEi622XlZXx8Y9/POvtZlN/E/m6urokVCeEEGJA8vLy0m6/FEN1UqkOSkpK0k6CFkIIIUYjRVFYtGgRzz333Fn71qxZM+D2pFKdEI5MoTpd19m5cydXX331WfukUp0Qw0tCdUIIIYbd5s2befHFF2loaMh4TDQapb6+nvr6el544QVqamq4/fbbM74BFeJyUllZSU1NDQ0NDaghD2ZHkl+/8RKzK2ooCKa/kXM+2qOd/GrdKgDUkAcUZ5UiCbWKy8VHP/pRFEXhZz/7GXnANM1PYzxJ1LQAcPl8jP/Qh9Eu8AKGZZo0NR0i19CxbEi53bgqJqEFQ+SUjcWbn++Ee95H83jx5OaRM6aMZEcHXcePEvrLz2A0vYdH11EVcLncVFRMQL3AYJ0Zj3P4f1ZjdF+0CblUKnxe3KqCy+Xivvvu4yMf+Ui/bfRMxs/VVFqBE1s2Mumjn0B1XfzHUMswOLF5IwC53c9RqmiOLj6fjwcffJA5c+awcuVKugBKZ0BHE1a8nVf2dPFuS4q/rNHI89jEUia+AYba+hNNGtjYhJPwq7dT7G+zyA94QHODyw+KQo7XxUOLp3DD1OIL6mNiT1U7w/k5ikajJBIJWUlMCHGWeDzO9u3bAQgnw7jdbkquLAHAp/mI2TH0mE7HkQ7yxuYNqGKdZVh0Hu1Ej+koioJPc963jJ01llMbTtGZ7KQ0UMq2bduIx+O9r1E9C3fkenJxqS6S0STNO5oZf/X4i36+zTuaSUVTuFQXIU+ot7/B1tjYyNKlS4lGoyTNJEciR4gbcQA8QQ/jZo+jsKKQ0JgQmkfDTJlETkRoa2qjud4Z8/Gu43QmOykPldPW1sbSpUtZsWKFBOuEEEIIMap4PB6+8pWv8Oijj2a97YcffhiPx5P1drOpv4l8sVisz4KPZwoGg4M1JCGEEKPYpRaqa29vT7td07QRV2EmU+W8wQzVjRs37qLbFkIIIUaSxYsXpw3V7du3j6ampgHNEeuvUp3cIxeXk+nTp+P3+4nH42ft27Jli4TqhBiBJFQnhBBi2EQiEZ555hnWrVvnbLDBiutYCRNbN7F1C5wCIihuFcWtofo0VL+bhoYGGhoaqK2t5f7775cVQsVl77bbbqOhoQEt6MGKGXQlYjz98k959BMP4nUPfBJDUk/x9Ms/JZaMo3g0tKCntx8hLheKovDRj36Umpoavvvd79Lc3MyUHB/HkzrHkzpGIsHxTXXM+Ku/Ibdi4oDbP3DgAL5QARbQZZh4AFcgh9CEClSX+zwGqOItKMQdChE51ITqd6p6BVwaKmAUFVFVVTXgcYWbDrLr5z/GSCRQgDKvmzKvM57y8nL+z//5P0yaNOmc7fRMxs9zu3AndVLhMCc2b+SK628c8Jje78TmjaQiYdyqQl530EqqaI5ON954I9XV1Xz/+99n9+7dUDgJulpQo7t491SKlRttvnK9j2jCoDAne5PyIgmDhG7z02064aTlVHp0+VHdzgqz08fm8shfTKU078IvUPo83SFA+3SJS13X5YaBEOIsmzdvRtd1kmaSpJlE0RRmLZzFnv170FM6fpefuBFHj+m0HmwlVBrCl+uD/orW2ZAIJ4icjGCbTpVMv8uPqqi4PW6mLZzGn976U2+f4NzEuemmm4C+C3cU+4s53nWc3f+9m5IpJU7fFygRTrDrlV0AFPuLURRlSBbuiEQiLFu2jGg0SkyP0RhuxLIt3H4302+Zzrg549JW4cspyqFsRhnTFk+jeUczu/97N/F4nAMdB6jMrYQoLFu2jJUrV8p1CSGEEEKMKg8//DC//e1v2bZtW9banDt3Lg8//HDW2hss/YXqurq6Mobq5P2eEEKIdC61UF2mQFpBQQGK0t/FqKE3mJXqjhw5kna7hOqEEEJcav7sz/4s4741a9bwuc997rzbylSpzu/3o6rnv2CkEKOdy+Vizpw5bNiw4ax9W7Zs4f777z9ru4TqhBhe8ltKCCHEsGhsbOTBBx90AnU2mJEU+rEoRmsCq0vHTnUH6gBssFMWVpeO0ZpAPxbFjKTAhrVr1/Lggw/S2Ng4nE9HiGE3f/58J1CigKvQB6rC3qMHeOKllbRHB3bTpj3ayRMvrWTv0QOgKk57CtTW1kp1SHFZmjRpEj/84Q9ZtGgR4ITMpuT48KgK8VOn2Pbk4xx69Y/YZwRnzqWjo4PW1lYA4qYT6HEFcsitnHR+gbozqC43uZWTcAVysLvbA2htbR3QjUPbtjn06h/Z9uTjxE+dwqMqTMnx9QbqFi9ezJNPPnlegTo4PRlfAUo8znou+//jBZKd5z+mdJKdHex/6XkASj0uFKSK5mhXWlrKihUruOuuu5yb8jnFRALjSVkqbXFoOGnQGklhDeBnrD+WbdMWTbGnxaI9YZMyoalTwVDcKIrCXddPYMVdsy4qUAeQSJnOF2dMNHC7B/bzLYS4PNTV1QHQmXTetxdPKsYf9DO1eioulwtN0Qi4Amiqhm3ahI+FaTnQQvRklGQkiZkysQwLM2WSjCSJnozScqCF8LEwtmmjqd3nKxoul4up1VPxh/wUVRUBTnW8M8fRo2dBjSJ/EX6XHz2us+232zB7Xt8GyEyZbPvtNoyEgd/lp8hf1KefwfTMM8/Q1tZG0kz2BuoKKgpY+NBCxl89Pm2g7kyqpjL+6vEsfGghBRUFWLZFY7iRpJmkra2NZ599dtCfgxBCCCFENrndbp577jlyc3Oz0l5eXh7PPffcqPjc21+VnVOnTmW8xiehOiGEEOlcaqG6TJXqMgXYhtNghuqkUp0QQojLRVlZGVdeeWXafWvWrBlQW5kq1Y20ardCDIVMcyy3bNmSdnu6qnYgoTohhoqE6oQQQgy5xsZGli5dSltbG7ZuoZ+MYXYksU2bvECIW+d+iC9/5G/4wWf+Lz/6m+/wg8/8X778kb/h1rkfIi8QwjZtzI4k+skYtm7R1tbG0qVLJVgnLnsPPPAAhYWFKG4VV7G/N1i35Lm/5/WGOgzT6Pd8wzR4vaGOJc/9/elAXbEfxa1SWFiYdpUUIS4XPp+PL37xiyxZsoRAIECOpjItx0e+W8M2LQ787t+p/9GTJMPnd5P02LFjACRtG9O2UTSN0IQKlAtcnUtRVed8TcO0bVLdk3+OHz92Xucnw53U/+hJDvzu37FNi3y3xrQcHzmaSk5ODo8++igPPfTQgC/W9EySL/W4CWgqRixGw8+exUwlB/YEu5mpJA0/exYjHiegqZR43H36EaOXpmncfffdfOMb3wAgv2iMs0NR8LoUdNOiNZLKSl+tkRSmZeF1O2E3G9BtlXjK4Bsfn87dN1SgZWGlvIOnum8auJyfm2AwKBc8hRBnSSaTvTdPwikn3FZWUwY4FTSmTZuG2+NGVVQCrgBelxdFUbAMi1hbjM7mTlrfa6Vlfwut77XS2dxJrC2GZVgoioLX5SXgCpyuUDdtWm9ljitmXAFAZ8p5/7JlyxaSydO/o3sW7lBQKA+Voyoq7U3tvPXzt0iE06+WmEkinOCtn79Fe1M7qqJSHipHQRmShTs2b97MunXrsG2bI5EjvYG6a//q2gFX3fPl+rj2r67tDdYdiRzBxmbt2rVs3rx5kJ6BEEIIIcTgmDFjBq+88spFB+vy8vJ4+eWXmTFjRpZGNrj6q1R3/PjxjPuCweBgDEcIIcQolylUFw6Hh3gk2ZEpkCahOoeE6oQQQlyKehaYfr9XX30V0zz/hRYzVarr73O4EJeqTPc/d+7cmTZAJ5XqhBheEqoTQggxpCKRCMuWLSMajWIlTScYlzLJ8QX4m0V389RnH+PuhZ9k/uQ5lOWXkJ+TR1l+CfMnz+HuhZ/kqc8+xt8supscXwA75ZxvJU2i0SjLli0jEokM91MUYtiEQiGWL19OMBhE9Wq4SwMoHo1YMs6P1/yKL/70m/xq3So2vbud4x2n6Ojq5HjHKTa9u51frVvFF3/6TX685lfEknEUj3O+6tUIBoMsX75cVuIVArjpppt4+umnmTp1KpqiMNHvZYLfg6pA+97dbF6xnNZd7/TbRiwW6/19lbKc8FtO2dgBV6h7P9XlJqdsLADJ7nbD4UjG1Yx6tO56h80rltO+dzeqAhP8Hib6vWiKwrRp03jqqae48cYbL2hMpyfjQ4Xfg6ZA53v7qf/RDwdcsS7Z2UH9j35I53v70RSnPQWponmpiUajAATcCgGPiktVmDLGWbnuUFuMlGFdVPspw+JQawxQqC724lIVvJqCzwXRhEFXsv8A+kDsOdo9acLt3CSYPHmyU4lPCCHOsHXrVpLJJCkzRcJIgAJjpo3p3R8IBJg1cxZFRU5VN4/qIegO4nf5cWtuFEshvDvMqf85RXh3GMVScGtu/C4/QXcQj+oBoKioiFkzZ/W5cTlm+hhQIGEknP4TCbZt29ZnfD0Ld3g1L5W5lb3BurVPreXw1sNYZv+vy5ZpcXjrYdY+tbY3UFeZW4lX8w7Zwh0vvvgiAK2JVuJGHLffzdxPzUXzaBfUnubRmPupubh8LuJGnNa4U3141apVWRuzEEIIIcRQWbBgARs2bGDu3LkXdP7cuXOpq6tjwYIFWR7Z4PF4PKgZFtM5efJkxvPk+rgQQoh0LrVKdZkCaQUFBUM7kPPQX6guU+XZ85UpVFdeXn5R7QohhBAj0eLFi9Nub2trY/v27efdjlSqE+K0TPOYDMPg7bffPmu7hOqEGF4SqhNCCDGknnnmmd4KdUZLHCybqWOreOKeb3JzzQJcmqvf812ai5trFvDEPd9k6tgqsGyMlnhvxbpnn312iJ6JECNTZWUlK1as6K1Y5y4NoOV7UTSFzliEl7e9xj/+4Sd89V//L1/48df56r/+X/7xDz/h5W2v0RmLoGgKWr7XCeR1V6hbsWIFlZWVw/3UhBgxSktLefzxx7nzzjtRFIUit4upOT78mooejfD2/3uK/auex9L1tOe3tbUBYNg2tm2juFx4s7TCpzc/H8XlwrZtjO4bhq2trWmPtXSdd1f9lrf/31Po0Qh+TWVqjo8itwtFUfjUpz7F448/Tmlp6UWNqWcyvk9VqQr4eoN1m779LY5teBPL6D/EZBkGxza8yaZvf6s3UFcV8OFTpYrmpaiurs75It6O1+tlaqnHuUioapimzf4TUUzrwm6Gm9YZ56sagYCXqkINRVUJuqElkuLNvS1ZeR6GafGnXaecBz5nxf/q6uqstC2EuLT0vO71VKkrmliEN+jtc4zL5aKqqorq6mpCuc5EXpfqQokotK5ppau+C+OkQVd9F61rWlGjKi7V+Wwdyg1RXV1NVVUVLlffz9veoJfCysI+/fe+Dnc7c+GOgDtAVX4VfpcfI2Hw9ktv89r3XmPXK7s41nCMrtYuEpEEXa1dHGs4xq5XdvHa917j7ZfexkgY+F1+qvKrCLgDQ7ZwR2NjIw0NDdi2TUvceY2ffsv0AVeoez9fro8Zf+5UYmmJt2DbNjt37qSpqemixyyEEEIIMdRmzJjBxo0beeKJJxgzZsy5TwDKysp44okn2Lhx46ipUNdDUZSME/pOnDiR8TwJ1QkhhEjnUgvVtbe3p90+mirVmabZu4DfhdB1PeN7AqlUJ4QQ4lJ000034fV60+5bvXr1ebcjleqEOG3q1KkZrz9t2bLlrG2ZQnV+vz+r4xJCpCehOiHEqGfbNrFYjHA4TCwWu+gVp8Tg2bx5M+vWrQMbjLZEb6Du0U88SEEw/cXmTAqCeTz6iQdPB+vaEmDD2rVr2bx58yA9AyFGh8rKSlauXEltbS0ooIU8uK8I4ir2o+a4UTwq9BTKUUDxqKg5blzFftxXBNFCHlCc6k8rV66UQJ0QabhcLu69914ee+yx3sBYdcBHiceZrH74T2vY9uTjxE4cP+vcnht5evd7Fm9+AShZ+mimqE57Z7SfbjWw2InjbHvycY786VUASjwuqs8Iqj322GPcc889aNqFVXA505mT8XM0leocHwFNxYjH2fPrn7PhW4+y/6UXOLVjK7FTJ0mGO4mdOsmpHVvZ/9ILbPjWo+z59c8x4nEC3efnaKpU0bwExePx0yvdxTtwu93cOLU71OkOAArRhMHeY5EBV6xLGRZ7j0WIJgxAAXcAj9vDlWN9KKpG0GOjmxar3zlOPHXx1er+tOskHbEUaG7w5QOwcOHCi25XCHFp0XW99/NrZ9KZaFU2oyzj8fn5+UyfNp2amTW42lwcW30MvUNHsRRcMReKpaB36Bz941FcbS5qZtYwfdr0fic9XVFzBQDhpBOq27RpE/r7FgY4c+EOr+ZlUv4kynLKcKkuUtEUB9cfZNtvtvH6k6/z2hOv8fqTr7PtN9s4uP4gqWgKl+qiLKeMSfmTeivUDdXCHevWrXOeXyqMYRl4g17GzcnO5Kdxc8bhCXowLINIKtKnPyGEEEKI0cbtdrNkyRIOHTrE888/z3333cfs2bPx+/0oioLf72f27Nncd999PP/88zQ1NbFkyRLcbvdwD/2CZJrQd/z42dfyegSDwcEajhBCiFHsUgvVXQqV6iDz8zgfx44dyzjvSEJ1QgghLkV+v5+bbrop7b41a9acdztSqU6I0zRNY+7cuWn3DSRUJ5XqhBga/ZcDEkKIEaqxsZF169axb98+Dhw40GeVqWAw2LuCe21tLRUVFcM4UnGmF198EQAzmsJOmeT4Ajx062fxuj0X1J7X7eGhWz/Lkuf+nlgyjhlNoYU8rFq1ivnz52dz6EKMOqFQiEceeYTa2lpWrVrFzp07Uf0uVP+53/7NnDmT2267LWMZciHEaVdeeSVPP/00//iP/8imTZso93kIuTQOxVNEDh9iy/ceY8odf0nZNQtQFCfN2rM6l9l9P84dyO4FRHcgQALoKeZ15oVL27Y5vqmOd1/4DWYyiUtRmOD3kOdywnPXXnstX/ziF8nNzc3qmHom4y9btoy2tjaqc3ycSumcTBmkImEO/89qDvf3nFSFUo+LEo8bBSgsLGT58uUS+r3EbN682QlyGAkw4rg0lY8umMZ77+5GT+ngyYFUF9GEwTuHO5lQFKAo5EFVlIxtWrZNayTFodZYd4U7xWlHUfH53SyckcPv9zThdal4NJuDp7r4n4aT/MVVYy/4ebRFk/z09YPOg+AYUBRmzpwpn0uEEGfZsWMHsVgM3dKJG3FQ+g/VAehxnb2/38uxncfI8eUQDAW5InAFmqJh2iZHY0fp0rs49uYx6IRZH5uF2595onPZjDIa/quBmOGMIxaLUV9ff9ZngZ6FO5599lnWrl1Lsb+YIl8RkVSEiB4hbsRJmkmnCq+i4NW8+F1+Qu4QIU+o931QbW0t999//5CF4vft2wdAVHeuG42dPRZVy85iBqqmMm72OA6uP0hEj5Drze3tTwghhBBitPJ4PNxxxx3ccccdwz2UQTXQSnU+n++sys9CCCEEkPF+ymgN1V0KlerACdWNHz/+gtptbm7OuE9CdUIIIS5VixYt4tVXXz1r+/r164lGo+e10IxUqhOir3nz5vHGG2+ctV1CdUKMPHLlVwgxqmzevJkXX3yRhoaGjMdEo1Hq6+upr6/nhRdeoKamhttvv13CIcOssbHR+XezwYqkAPj0TZ8YcIW69ysI5nH3wk/y4zW/woqk0IIedu7cSVNTk0xcFgKYP38+8+fPp6mpqTeMvH///rPCyJMnT6a6upqFCxfKz44QA5Sbm8s3v/lN/vCHP/Czn/2MPGBajo+mRJJIMsmeX/4r7Xt2UX3nPSgeD4bhVMGyule51LJ8AUTz+QEwu9s3DAPTNLFTKfb+9jlObnUq4oRcKhU+L25Vwe1289nPfpZbb721d9J7tr1/Mn6px02Jx02nbhI2TeKmRcKysGxQFfCpKn5NJVfTyHNrvQU2h3oyvhg6dXV1zhdx56b97Al55OX4mFo9ld179mAagDcIegzTMjl4qosjbXGKQh6CPhcBj4aqKliWTSxlEk0YtEZS6GZ3VTtVcyreKSqay8XU6qmkUimmFB9j76kUQY9NW9zme/+1hz+bOQave+CVGpO6yRP/uYeupAHuHMhxKu3ddttt2fgWCSEuMT2vez1V4grGF+DLzfy+oK2pjR0v7CDeEQegLKeMYn8x4FTRNQyDiXkTORU/xYmuExx75xgdhzuYc8ccCisK07bpy/VRMKGA9kPthJNhivxF1NXVpb2Gkm7hjlxvLrnec4fxh2PhDtu2OXDgAIATWoSM34cLVTChgIPrD/a2v3///t5goRBCCCGEGLkyTejLFKqT61BCCCEyuVwq1Y3EUF2m7z1cXKW6TKE6v98/Ir8PQgghRDYsXryYRx999Kztuq6zbt06br311nO2IaE6IfrKdF90165ddHV19S76ZJomqVQq7bESqhNiaEioTggxKkQiEZ555hnWrVvnbLDBiutYCRNbN7F1C7oLTyhuFcWtofo0VL+bhoYGGhoaZAL2MOv5t7PiOrZpk5+Ty43TrslK2zdOu4bn1/+ezlgEK2Gg+l2sW7eOe++9NyvtC3EpqKio6P2ZsG2bRCKBruu43W58Pp9M+hTiIimKwkc+8hFqamr47ne/y5EjR5gc8HE8qXM8qXNiyybCje9Rffdfn32ump1qKf2113nwAHt/+S8kWltQgCu8bsZ4nao148ePZ8mSJUNS9S3dZPx8t0b+eYSXpIrmpS2ZTJ5ejSveAcCCKU5QJBAIMH3aNPbu29tdsS4IZhKMJLppcbwj/YpdvRQFXF7QvAC4PW6mVk8lEAgQCAS4YWoJe081E/RqtMVN9h2P8vXfvs03/tcMCoPe834ObdEkT/znHnY1h0HRoKASFIXa2lr5fyuEOIthGLz11lsAdKacSVZlNemr1NmWzf51+9n32j6wwaN5GB8aj9/lBOlvvfVW7rnnHn75y1/y8ssvU+IvIegOcjhymHhHnA0/2UD1h6qZvHAyinr2+/6ymjInVJdyQnUbN27kC1/4ApqW/vfzaFm4Ix6P944paSYBCI3J7jWh3LLcPu1Ho1ESiQR+vz+r/QghhBBCiOySUJ0QQohsyRTsSiaTJJNJvN7zv8Y8EmQKoxUUFAztQM6Dz+fD5/OlreoxGKG68vJyuacuhBDiknXllVdSUlLCqVOnztq3evXq8wrVdXV1pd2eqVq8EJe6TPNELMtix44d3HDDDYDz2SETCdUJMTQkVCeEGPEaGxtZtmwZbW1tYIMZTWFFUtimffbBNtgpCztlYXXpKFoSNeRBC3pYu3Yt77zzDsuXLx+SSeOir3379gFgJUwAFkydj0vLzq8hl+bihmnX8PK217DiTqiupz8hxNkURcHv98tETyEGwcSJE3nyySf5yU9+wh//+EfKvG5CLo3GeJJ4Swv1T38fa9osgnNPB8tty8rqGM5sz7Ztots2Ub/nHbBsPKpCpd9LjuYE72655RY+97nPDflN3dEyGV8Mna1btzoXCo0k6DEUReHayaerCQUCAWbNnEVTUxOtra1OQE7zgqWDaaAbBm8cTPBuq8mUIo2bJvpwu1yguUB197ZTVFRERUUFLtfp96EfWzCdf607hg8Lt8+Pnojz1oE2Pv8v2/jszRP5wIxSXFrm8KthWvxp10l++vpBp0KdokHxFHD7KCws5P777x+cb5oQYlTbuXMnkUgEwzKI6c7KnWUzzg7VxTvj7Pj3HbQdbAMgz5vHuOA4VEUlGAzypS99ieuuuw6Av/3bv2XOnDk89dRTEIXJ+ZNpjjbTmexk36v7aDnQwlW3X4Uvr+/Nl7IZZex+ZTddeheGZRCJRNi5cyezZ8/u9zmM9IU7eqoDgzM+AM0z8Cqk/elpr6d9cFZtlc9aQgghhBAjW6YJfRKqE0IIMVD9VUvr7OyktLR0CEdz8drb29NuH6kV2goKCjh27NhZ2wcjVDdu3LgLblMIIYQY6VRVZdGiRfz6178+a9+aNWvOqw2pVCdEX5MnTyY3N5dwOHzWvi1btvSG6tItEtFDQnVCDA0J1QkhRrTGxkaWLl1KNBrF1i2MtgR2ygll5QVC3DDtGqrHTmJ88Th8bg8JPcXhlmb2HX2P9Xs20RmLYHYksWIGrkIfbW1tLF26lBUrVkiwbgjZts2BAwecr3Xn36967KSs9jHliol92t+/fz+2bQ/7JD4hhBCXH5/Px4MPPsicOXNYuXIldHUxLcfH4USKdt0ksuENkoeb8HzwFgjkYCYSaJ7shdrMRBwAJdZF62uvkGo+TF5eHgVujfE+D5qikJOTw0MPPdR7gWa4jPTJ+GLo1NXVOV8kOgCYNT6PvICnzzEul4uqqiqKioo4duwYkUgEVDcnuhR+uTXG0bAFKOxrt9h+MsU9V/sZE3Iue4RCIa644oq0N/6Lcv1cU30Fb+09StBt024HaYvbFCQNnvrju/zijSY+MKOEaWNzmViSg8+jkUiZHDzVxZ6jYf606xQdsZTTmDvHqVDn9hEMBlm+fLlMvBNCpLV+/XoAwinnJkreuDwCBX1vKh7ffZy3V72NHtdRFZWxOWPJ9+UDTgXXr371qxQXF/c55/rrr2fKlCl8//vfp6GhgfGh8QTdQY52HaXtYBvrVq7jyk9eSdn00wG+QEGAvLF5dB7tJJwKU+grZP369ecM1Z1pJC7ccWaAWlEUbNvG7L6mlC097Z35nsXtdmc6XAghhBBCjBCZJvRlmgAYDAYHczhCCCFGsUspVGfb9qiqVAdO2C/bobojR46k3S6hOiGEEJe6TKG6Xbt2ceTIEcrLy/s9XyrVCdGXqqpcffXV/OlPfzpr39atW3u/7i9UN5LuvQpxKZNQnRBixIpEIixbtoxoNIqVNDFa4mDZ5PgCfPqmT3DjtGvSVjoryy9h/uQ5fOqGj/Hmnk38+o2X6ErE0E/GcBX7iRJl2bJlrFy5Uia4DpF4PN5becbWneo544uze8FxQkl5n/aj0SiJRELeVAohhBg2N954I9XV1Xz/+99n9+7dVPq9hFwGu6MqycNNJFf9hpw77kGPdeHJzXzTdaD0WAwrmaBr1W8gEsbt0pjg91Dkdt43TZ8+nUceeWTE3cgdiZPxxdDQdZ3Nmzc7D+LOKrgLphRlPD4/P5/8/Hy6Yl38buNBfr6hmXjSxLAVOnQP+e4UxyImKzdE+KsF4/j4dRPJCfR/ob52RhkNzWESdoJ2XaXD0LBCY1FjTmDupS3NQPrVaQHQ3BAcAzmloCgUFhZKhWwhREaWZbFhwwYAOpOdAJTVnA65mbrJ7j/upmljEwB+l5/xofF4NA+KovDpT3+aO++8E1VNX0WzuLiY73znOzz//PP8+te/psBXQI47h0ORQyTiCbb+aisV11Uw/cPT0dxab/+dRzsJJ51Q3YYNG3jggQcy9jEa+P1+gsEg0WgUr+YlYSSInIiQU5S9m7fh404o0qs5CyQEg0FZMVIIIYQQYhQY6Cr5cj9RCCFEJv2F6tJVpBjJurq6MM30CxKN1Ep1mcYlleqEEEKIgVu0aFHGfa+++iqf+cxn+j1fKtUJcbZ58+alDdVt2bKl92upVCfE8Bu9syKEEJe8Z555hra2NqdCXXegburYKp6455vcXLMgbaDuTC7Nxc01C3jinm8ydWwVWDZGSxxbt2hra+PZZ58domciDMM4/cB2/vK5PekPvkC97dmnt+m6ntU+hBBCiIEqLS1lxYoV3HXXXSiKQpHbxTjbQDUN7Egn+sEDJDvawbay06FtkexoRz94ADvSiWoalNsGRW4XiqJw1113sWLFihEXqBOXtx07djgX2E0dUjEUReH6fkJ1AF0Jg5WvHeI329rx+ALklY6nYOoNVM66joKpC8grLcfjC/Cbbe386LXDdCWMfttbUF2EpmmU5gUoLcrHNE3Clh/GzILCSRAoBncAFBVQnL/dAWd74STnuOAYUBRqa2tZuXKlBOqEEBnt2rWLzs5OTMukS3dW7bxixhUARE5GWP/M+t5AXbG/mEl5k/BoHkpKSnj88ce56667zhl2U1WVu+66i8cff5zi4mI8moeqvCqK/U5lu6aNTax/Zj2RkxHgdKgvqkcxLZOOjg527949KM9/qCiKQlVVFeAEEwHamtqy2kf7ofY+7U+ePFkq7QohhBBCjAIDXSVfQnVCCCEy6e93RGdn5xCO5OK1t7dn3DfaQnX9PZdzkVCdEEKIy9W4ceOYMWNG2n2rV68+5/lSqU6Is82bNy/t9j179hCJOPdpJVQnxPCTUJ0QYkTavHkz69atAxuMtkRvoO7RTzxIQXBglVwKgnk8+okHTwfr2hJgw9q1a09XxBCDyuU6IwDZPbcsoaey2kdve2fMXXO73VntQwghhLgQmqZx9913841vfAOAMQUFACgoqF4vtmGQvIgVM8+U7OjANgxUrxcFBWybMYWFAHzjG9/g7rvvRtO0rPQlRLbU1dU5X8TbAZtpV4QoDHozHr+7OcwXf7GdN/e2gKJAbjkUT0Fze/H5fGhuHxRXQ+44UBTe2HuKL/5iO7ubM68KXBj0Mn1sLoqiUDkmn+rqaufipKKAvwAKKqB0Ooy9CsbNdf4une5s9xeAojBz5kyWLVvGI488IpPthBD96nndC6ec16XQmBCBogBNm5p485/eJHIigqZqVOZWUpZThqIoLFiwgKeeeirjzcxMZsyYwdNPP82CBQtQFIWynDIqcivQVI3IiQhv/tObHNp8iJyiHEJjQn3G1fv6PIpVV1cDEHQHAThafxTLzM5iBpZp0VzvTLIKuUN9+hNCCCGEECPbQFfJDwaDgzQSIYQQo52maRmvB4+2UF1/1d0Kuu9tjTTZrlRn23bGUF15efkFtSmEEEKMJosXL067/dVXX8Wy+r+/IpXqhDhbplCdbdts374dgHg8nvF8CdUJMTQkVCeEGJFefPFFAMxoCjtlkuML8NCtn8V7gdXNvG4PD936WQJeP3bKxIw6AaxVq1ZlbcwiM7/f33vDUXE7v3oOt6S/EHmhDp060qf9YDAobyiFEEKMKNFoFADF63NCb5pGYEIlAF3Hj2IZF1dh1TJ0uo4fBSBnQiWKpqH6fOB1wkmZVgUTYjgZhsFbb73lPEh0AHBDdXHaYy3L5vmNh/nav73NyXACXF4ongqhMQDceuut/OIXv+DWW291TgiVOftdXk6GE3zt397m+Y2HsSw7bfsLevpNdJCfn09JSQn/+I//yJ133smcOXPOmkAXDAaZM2cOd955JytXrmTFihUZL4gKIUQP27bZsGEDAJ0pZ2JVcVUx236zjZ2/34llWAQ9QabkTyHoCeLxeHjwwQf52te+dsETeYPBIF/72tf4whe+gMfjIeQJ9bZvGRbv/O4dtv3bNoqrnNfBM0N1tp3+NXO0WLhwIQC5nlxcqotkNEnzjuxcj2je0UwqmsKlugh5Qn36E0IIIYQQI9tAJ/TJ4jlCCCH6k5eXfmHo0Raqu5Qq1V1oqK69vT1jpRCpVCeEEOJysGjRorTbT506RX19fb/nSqU6Ic42ceLEjAtUbNmyBZBKdUKMBK5zHyKEEEOrsbGRhoYGsMGKOOG3T9/0iQFXqHu/gmAedy/8JD9e8yusSAot6GHnzp00NTVRUVGRjaGLDBRFoaqqivr6ehS3hp2y2Hf0PeZPnpO1Pt49dtDpy+1U35k8eTKKovR3ihBCCDGkeqq9dBgmXq8Ps7QMv9eLZVqYpknkUBO5lZNQ1IGvfWJbFpFDTdimiaYo+LxevBMq0U4ep1M38XtV6urq+OAHP5jtpyXERdm5cyeRSAQsHZJO8PT6KUVnHdcSSfIPL+/lncPdkxACRZA3HlSNYDDIl770Ja677joA/vZv/5Y5c+bw1FNPEY0CJdOh8xBWrI3n3mxkR1M7X711KkWhvtXwFkwp4qevv+eMw9KJRCJEIhHuvfdewAnCJBIJdF3H7Xbj8/nk/aYQYsD27dtHS0sLlm3RlXJuLja+1YhtOuG1spwyiv1OuK2yspIlS5Ywfvz4i+5XURRuueUWampq+O53v0tjYyOVuZW0xFs43nWc4w3HUTTnNS2aimLZFi0tLbz77rujuvpaZWUlNTU1NDQ0UOwv5njXcXb/925KppTgy73wm1CJcIJdr+wCoNhfjNJdsVSuLwkhhBBCjA4DndAnoTohhBD9yc3NTbt9tIXqMgXRAoEAHs+FLYA92LIdqjty5EjGfRKqE0IIcTmora3F7Xaj62cvCr1mzRquuuqqjOdKpTohzqYoCvPmzWPNmjVn7TtXqE5RlBH7PlyIS41UqhNCjDjr1q0DwIrr2KZNfk4uN067Jitt3zjtGvICIWzTxkoYffoTg6tnEp7qc0JvdXs3Y5hGVto2TIP1ezY57ftdffoTQgghRoJ4PM727dsBJ1TndrsZM3c+AH5NRQGMWBfhxvcGXLHOMnTCje9hxLpQutsDGDN3Hm63mw7DBGDbtm3E4/GsPSchsmH9+vXOF/FOwGZKWYjSvL4hh7f2t/LFn293AnWKBgWVzh9VY+bMmTz99NO9gboe119/PU8//TQ1NTWgalAw0TlHUXnncCcP/Xw7b+1v7XNOaZ6PyWOCgN09njPGh3PB0u/3k5ubi9/vl0CdEOKC9LyuhFNhbJwgnW3aeDQPVflVvYG6j3zkI/zgBz/ISqDuTOPHj+cHP/gBf/EXfwE4gbCq/Co8mqc32Gdj91arO/N1cLS67bbbACjyF+F3+dHjOtt+uw0zZV5Qe2bKZNtvt2EkDPwuP0X+oj79CCGEEEKIkU8q1QkhhMimS6VSXaYg2kitUgfZD9U1Nzen3a6qKmVlZRfUphBCCDGa5OTkcMMNN6Tdt3r16n7PlUp1QqQ3b968tNvPFaqThZ6FGDoSqhNCjDj79u0DwEo4k5sWTJ2PS8tOYU2X5uKG7oCeFTf69CcG18KFCwFQ/W4UTaGjK8yb3UG4i/Xmnk10xiIomoLqc/XpTwghhBgJNm/ejK7rJCyLhGmhahozPrQIj8eDCgQ0rTdY1/HuXpLtbWBb/TdqWyTb2+h4d29voC6gaaiAx+Nh+gcXoWgqcdMiYVnout57QUaIkcCyLDZs2OA8iLcDTrW4HinD5NnXDvDYf+wiktDBnQOl0yFQhKIo3H333Xz729+muLg4bfvFxcV85zvf4e6773YuNAaKoHQGuANEEjqP/ccunn3tACnjdKhiQXVxn/Fs2LAByzrHz6IQQpwn27Z7K9eGk+He7fnefCbnT8bv8hMKhfjmN7/J/fffP2grD3o8Hh544AG++c1vEgqF8Lv8TM6fTJ739ASwnvHV1dVh2/agjGOozJ8/n4ULF6KgUB4qR1VU2pvaeevnb5EIp79JlUkinOCtn79Fe1M7qqJSHipHQaG2tjbjDTEhhBBCCDHyDDRUFwwGB2kkQgghLgWXSqiuvb097XYJ1cGYMWNwubIzb0kIIYQY6RYvXpx2+5tvvpmxGp1t21KpTogMMt1DfPfdd+no6Og3VCeEGBoSqhNCjCi2bXPgwAHna92Z3Fo9dlJW+5hyxcQ+7e/fv3/UTxAbDSorK51KIQqoIWdi4K/feIn26MVdSG6PdvKrdauA7nYVmDlzJhUVFRc9ZiGEECJbeibQd3S//8ifOh1fKJfq6mpcLheaAjkuDU1RsE2TaPNh2vbupuv4UVLhDsxUEsvQMVNJUuEOuo4fpW3vbqLNh7FNE01Rus8Hl8tFdXU1/tw8CqqnA9DZ3W/POIQYCXbt2uVMKrAMSEaA06G2w60xvvqrev5r+1FAgeAYKJkKLi8lJSU8/vjj3HXXXahq/5c1VFXlrrvu4vHHH3fCdy4vlExz2kPhv7Yf5au/qudwq3OBvzfUl4qAZdDR0cHu3bsH61sghLjMHDx4kBMnTmDZFhE90hvK6gl6zZo1i6effpprr712SMZz7bXX8tRTTzFz5kxURWV8aHzvWCJ6BMu2OH78OAcPHhyS8QymBx54gMLCQryal8rcyt5g3dqn1nJ462Ess/8AtWVaHN56mLVPre0N1FXmVuLVvBQWFnL//fcP0TMRQgghhBDZMNBV8qVSnRBCiP5cKqG6TEG0goKCoR3IAGQaW7ZDdeXl5RfUnhBCCDEaLVq0KO32ZDLJG2+8kXZfIpHIOAdXKtWJy11/C3Nu27ZNQnVCjAASqhNCjCjxeJxoNAqArTsTmsYXj8tqHxNKyvu0H41GM74pEdl12223AaAFPSgeja5EjKdf/ilJPXVB7SX1FE+//FNiyTiKR0MLevr0I4QQQowEyWSyt0JcZ3dFrJLZcwFnRa5p06b1VqzL0VR8moqiKNiGQaLlFJFDTXTs20P7nl107NtD5FATiZZT2IaBoij4NJUcTe2tUDdt2rTelb56+uno7nfLli0kk8mh/QYIkUFvyDPRCdhUluRwRb6P/64/xpef207jqS5Q3VA0GfLKQVFYsGABTz31FDNmzBhQXzNmzODpp59mwYIFoChOe0WTQXXTeKqLLz+3nT++fZyxBX4qS3LAtrvHJWFUIUT2rF+/HoBoKopP8zE5fzL53nxUVeXee+/lscceo6io6BytZFdxcTHf/va3ueeee1BVtbdqnk/zEU0512cuhdfBUCjE8uXLCQaDBNwBqvKr8Lv8GAmDt196m9e+9xq7XtnFsYZjdLV2kYgk6Grt4ljDMXa9sovXvvcab7/0NkbCwO/yU5VfRcAdIBgMsnz5cplkLYQQQggxygx0lXx5vyeEEKI/l0qo7lKqVNfZ2Yll9b+IUjqZQnXjxmV33pIQQggxkl111VUZ71etWbMm7fZMVepAKtUJMX78eEpKStLu27JlC/F4PO0+CdUJMXQkVCeEGFEMwzj9oHvhCp/bk9U+ets7Y2EMXdez2odIb/78+SxcuBAUcBX6QFXYe/QAT7y0csAV69qjnTzx0kr2Hj0AquK0p0BtbW2/KzsIIYQQQ23r1q0kk0lSlkXMtEBRKJ41p3d/IBBg5syZvRclPYpCSFMJaCpuVUE1TRLbNhH5z38nsW0TqmniVhUCmkpIU/EoCgBFRUXMnDmzzwXJ4iuvAkUhZlqkLItEIsG2bduG9PkLkY5t22zYsMF5EHdu1M+ekM/jv9/Dj9bsJ2VY4M2DMdPBl4vH4+HBBx/ka1/7GsFg8IL6DAaDfO1rX+MLX/gCHo8HfLlQOh28uaQMi5Wr3+WJ/9zD7An53ePqAJwwiVS2FkJkQ1NTEwAu1cWkvEl4NA+lpaU8/vjj3HnnneesvjlYVFXlU5/6FI8//jglJSV4NA+T8ibhUl0ANDY2Dsu4sq2yspIVK1b0VqyblD+JspwyXKqLVDTFwfUH2fabbbz+5Ou89sRrvP7k62z7zTYOrj9IKprCpbooyyljUv6k3gp1K1asoLKycrifmhBCCCGEGKCBTui70GsRQgghLg+ZQnXhcHiIR3JxRmOlukyhOsuyehf0HogjR46k3S6hOiGEEJcTTdP40Ic+lHbf6tWr027v6urK2J6E6sTlTlGUjHOat2zZIpXqhBgBJFQnhBhRXC7X6QfO/HASF1jFLJPe9pTT29xud1b7EJk98MADFBYWorhVXMX+3mDdkuf+ntcb6jBMo9/zDdPg9YY6ljz396cDdcV+FLdKYWEh999//xA9EyGEEOL89FR36akWVzClGs/7Vrd2uVxUVVVRXV1Nbq6zz6UouDraia36Nfpbb8KRQ+hvvUls1a9xdbTj6g7T5eaGqK6upqqqqu97KcATCpE/ubpP/5dCtRkx+u3bt4+WlhawTEg6Ewv+sOMYde+2nK4kV+xUkqusrOSHP/whH/7wh1EU5Rwt909RFG655RZ++MMfOiEIzQ3FU3or4a3f18IfdhxzDk52gmXS0tLCu+++e5HPWAghoLy8HICAO4CiKNx444089dRTTJ8+fZhH5pg+fTpPP/00N954I4qiEHA7NznHjx8/zCPLnsrKSlauXEltbS0KCsX+YqYWTGVCaAIFvgJ8Ll/v7xpFUfC5fBT4CpgQmsDUgqkU+4tRUKitrWXlypUSqBNCCCGEGKVycnIGdLxUqhNCCNGfS6VSXaZQ3WisVAeZn09/pFKdEEII4Vi8eHHa7e+88w7Hjh07a3t/leoG+hlciEvR1VdfnXa7hOqEGBlc5z5ECCGGjt/vJxgMEo1GUdwqdsricEszZfnpS99eiEOnnJWlFLeTKw4Gg/LmYwiFQiGWL1/O0qVLiRLFXRrAaEsQS8b58Zpf8fz633PDtGuYcsVEJpSU43N7SOgpDp06wrvHDrJ+zyY6YxEAFI+Gq9CH4lYJBoMsX75cbmwKIYQYUXRdZ/PmzQB06E6orXh2+gsl4Nz8y8/PJxaLsf+1P3LqP1/CSCRQLBN3VxQ9J4jR2kLHqt8w/qOfYPKHPnzOVb1KZs+l4929dOgmpR43mzZtQtd1WVRADKv169c7XyQ6obsKnGFa4PJCwUTwOBfWP/KRj/DXf/3XTmW5LBo/fjw/+MEP+NnPfsYf/vAHCI4BTxDaD2IYSecg23bGFyhk/fr1VFdXZ3UMQojLz6c//Wk0TePQoUPU1tZyww03XHRYONtycnJYsmQJCxYsYN26dUyYMIFPfepTwz2srAqFQjzyyCPU1tayatUqdu7cSa43l1xv7jnPnTlzJrfddlvG1SSFEEIIIcToMNBV8uXekxBCiP5cKqG69vb2tNtHa6iuvb2dCRMmDKg9CdUJIYQQjkWLFmXc9+qrr3Lvvff22dZfqE4q1QlBxnuLBw8ezPge1O/3D+aQhBBnkFCdEGJEURSFqqoq6uvrUdwadspi39H3mD95Ttb6ePfYQacvtwbA5MmTR9wktktdZWUlK1asYNmyZbS1teEuDWBGU1iRFJ2xCC9ve63f8xVNQQ150IIeUKCwsJDly5fLCvFCCCFGnB07dhCLxdAtmy7TAkWhZPZV/Z5jxGIc/LfnaN2+hYDXSyjHz3iPCw0wgcMpg4hh0br6ZbSWk0z91L24+rkIWTJnLu/++2/oMi10yyYWi1FfXy+TwcWwsW37dMXExBk36QNFkDcBVJVQKMSXvvQlrr322kEbh8fj4YEHHuCqq67iH//xH4lEgJIZ0HkIYq2nxxcopK6ujs985jPyuUEIcVE8Hs9ZNxlHIkVRuOmmm7jpppuGeyiDav78+cyfP5+mpibWrVvHvn372L9/P9FotPeYYDDI5MmTqa6uZuHChVRUVAzjiIUQQgghRLZIqE4IIUQ25eamX6hntIXqMlV2KygoGNqBDECmQCMMvFJdIpGgtbU17b7y8vIBtSWEEEKMdhMmTGDq1Kns3bv3rH1r1qw5635XV1dXxrakUp0QmUN1cMai1O8jxWKEGDoSqhNCjDjV1dXU19ej+jSsLp26vZv51A0fw6Vd/EuWYRqs37MJANXv6u1PDL3KykpWrlzJs88+y9q1a9G6Q3JWwsCKG9i6ia1bYAOKU1lQcWuofheqzwXd85lra2u5//77z+uGpm3bxONxDMPA5XLh9/tlYrQQQohB1RMc6jAMAPImTsKbl5/x+M739rPr5z8h0daKAlzhczPG41SUc7lcGIbBZJeLE0mdY0mdk9u2EG48yIy/+hx5kyanbdObl0/epCo63ztAh2FQ4nFTV1cnoToxbA4ePMiJEyfAtiARBkWD/AkQKARg1qxZfPWrX6WoqGhIxnPttdfy1FNP8YMf/ICdO3dCQSV4c6HjkDM+2+L48eMcPHiQSZMmDcmYhBBCDJ2Kiorem7+2bZNIJHqr+vp8PrluIIQQQghxCRrohL5gMDhIIxFCCHEpkEp1w8fj8RAIBNJWxxloqO7o0aMZ90mlOiGEEJejRYsWZQzV2bbd5/5Jpkp1LpcLt9s9aGMUYrQYO3YsZWVlHD9+/Kx927ZtS3uOhOqEGDoSqhNCjDgLFy7khRdeQPW7UbQkHV1h3tyziZtrFlx022/u2URnLOJUOvO5evsTwyMUCvHII49QW1vLqlWr2LlzpxOa85/719PMmTO57bbbzhkIaGxs7F1x/sCBA2etOF9VVUV1dTW1tbWy4rwQQoisMgyDt956C4AO3QSgZM7VaY+1LYtDa17h4Mu/x7YsvKpCpd9LQFMBuPXWW7nnnnv45S9/ycsvv8wYr5uQS6MxniTR1sr2f/weE2/9GBMW/TmKqp7VfsnsuU6oTjcp8bjZuHEjX/jCF9A0bZCevRCZ9a6ylegEtx8KJoLLi6qq3H333dx+++2oaf4fD6bi4mK+/e1v88ILL/DrX/8aK1AInhxoO+iM019AXV2dhOqEEOISpygKfr8fv98/3EMRQgghhBCDSCrVCSGEyKZMobpYLNa7cM9oMBor1YET+stGqO7IkSMZ90moTgghxOVo8eLFrFy58qztx48fZ+fOncyaNat3W6ZKdVKlTgiHoijMmzeP//qv/zprn2maac+RUJ0QQ0dCdUKIEaeyspKamhoaGhpQQx7MjiS/fuMlZlfUUBBMfzHyfLRHO/nVulUAqCEPKE4wS4JUw2/+/PnMnz+fpqam3gDc/v37zwrATZ48merqahYuXHjOf7fNmzfz4osv0tDQkPGYaDRKfX099fX1vPDCC9TU1HD77bdL5R4hhBBZsXPnTiKRCIZtEzUtAEquvOqs4xLtbex+7md0vOus8FXo1ij3edAUhWAwyJe+9CWuu+46AP72b/+WOXPm8NRTT0E0ytQcH4cTKdp1k/f+6z9o27ubGf/fZ/Hm973BWTJ7LvtfeoEu08KwbSKRCDt37mT27NmD/F0Q4mxNTU3OF5obiqeColBaWsojjzzC9OnTh21cqqryqU99iiuvvJLvfe97nDp1Ckqmgu7cAGhsbBy2sQkhhBBCCCGEECJ7BhKq83q9oyYMIYQQYnhkCtUBhMNhioqKhnA0F8YwDCKRSNp9I7lSHTjjS1dlbqChuubm5rTbc3NzpWqtEEKIy9LNN9+My+XCMIyz9q1evbpPqC5TpbqBLmojxKUsU6guEwnVCTF0JFQnhBiRbrvtNhoaGtCCHqyYQVcixtMv/5RHP/EgXrdnwO0l9RRPv/xTYsk4ikdDC3p6+xEjR0VFBffeey8Atm2TSCR6V27z+Xx9SoZnEolEeOaZZ1i3bp2zwQYrrmMlTGzdxNYtsAEFFLeK4tZQfRqq301DQwMNDQ3U1tZy//33y8qjQgghLkpPNa6eKnWhCZX4ior7HNPy9g72/Ppf0bu6UBUY7/NQ6HY+ps2cOZOvfvWrFBf3Pef6669nypQpfP/736ehoYFKv5dcl8HhRIqOd/ey+fHlTPv0Zyi+ck7vOb6iYkITKogcaqJDNyn2uFi/fr2E6sSwKC8vd6o4epyb0DfeeCMPPvjgiFmlbvr06Tz99NOsXLmSN998s3ec48ePH+aRCSGEEEIIIYQQIhsGMqlP7hUJIYQ4l/5CdZ2dnaMiVNfZ2Zlx32gI1aWTrVCdVKkTQghxuQqFQlx//fW88cYbZ+1bs2YNX/3qV3sfS6U6Ic5toMU+JFQnxNBRh3sAQgiRzvz581m4cCEo4Cr0gaqw9+gBnnhpJe3RzBfz0mmPdvLESyvZe/QAqIrTngK1tbVSkWwEUxQFv99Pbm4ufr//vAJ1jY2NPPjgg06gzgYzkkI/FsVoTWB16dip7kAdgA12ysLq0jFaE+jHopiRFNiwdu1aHnzwQalGIoQQ4oJZlsWGDRsA6Ohetatkztze/aaeYt8Lv+adH/8IvauLgKYyLcdHoduFoijcfffdfPvb3z4rUNejuLiY73znO9x9990oikKh28W0HB8BTUXv6uKdH/+IfS/8GlNP9Z5TMntun/Fs2LABy7IG5fkL0Z9Pf/rT3HnnnVx33XU8+uijLFmyZMRdTM/JyWHJkiUsWbKE6667jjvvvJO//Mu/HO5hCSGEEEIIIYQQIgvcbvd5V5+TyjRCCCHO5VyhutGgvwBaQUHB0A3kAmQaX7ZCdeXl5QMdkhBCCHHJWLRoUdrta9euJZFI9D6WSnVCnNvVV189oOP9fv8gjUQI8X5SqU4IMWI98MAD7Ny5k7a2NlzFfoyWOHuPHmDJc3/P3Qs/yY3TrsGlZX4ZM0yDN/ds4lfrVhFLxp1AXbEfxa1SWFjI/fffP4TPRgy2xsZGli5dSjQaxdYtjLYEdsqpDJQXCHHDtGuoHjuJ8cXj8Lk9JPQUh1ua2Xf0Pdbv2URnLILZkcSKGbgKfbS1tbF06VJWrFhBZWXl8D45IYQQo86uXbvo7OzEsG2ihhNc6wm1dR0/yq5/+WeiR52bc6UeF2O9HhQFSkpKeOSRR5gxY8Y5+1BVlbvuuosrr7yS733ve7S0tFAd8HE0meJkyqB53Z/o3L+PGX/9v8kpG0vJ7Lm8958vETUsTNumo6OD3bt3U1NTM3jfCCHS8Hg8vdWJRzJFUbjpppu46aabhnsoQgghhBBCCCGEyLKcnJzzmmwvleqEEEKcS25ubsZ94XB4CEdy4drb2zPuk0p1UqlOCCHE5Wvx4sV861vfOmt7IpFg/fr1fOhDHwKkUp0Q56OsrIzy8nKOHDlyXsdLpTohho6E6oQQI1YoFGL58uVOUIoo7tIARluCWDLOj9f8iufX/54bpl3DlCsmMqGkvDcodejUEd49drA3KAWgeDRchT4Ut0owGGT58uVyE+wSEolEWLZsGdFoFCtpYrTEwbLJ8QX49E2fyBjALMsvYf7kOXzqho/x5p5N/PqNl+hKxNBPxnAV+4kSZdmyZaxcuVL+vwghhBiQuro6AMKGiQ0Ex47DX1LK0fVreffF32LpOm5FYYLfQ65LA2DBggU89NBDA179esaMGTz99NM8/fTT1NXVMc7nIeTSOBRPET3azJbvPsaU2+7iigU3ERw7jujRZjoNk0K3i7q6OgnVCSGEEEIIIYQQQojLTiAQkFCdEEKIrHC73QQCgbQVWkZ7pTpFUfoNDY4E2QrVZZrcLKE6IYQQl7N58+aRn5+f9vfq6tWre0N1UqlOiPMzb948CdUJMQJJqE4IMaJVVlayYsUKli1bRltbG+7SAGY0hRVJ0RmL8PK21/o9X9EU1JAHLegBBQoLC1m+fLlUHrvEPPPMM7S1tTkV6roDdVPHVvHQrZ+lIJh3zvNdmoubaxYwu6KGp1/+KXuPHsD4/9m79/C4yvPc//eak2akGckSPoGFJbARxnY21JbANjADzYbiJK1DDKRN8G4KSU1aaGPi4Dg7jaqE/FzTBqfE6bbTkh5c0h2ITRwaIKFp0AQfNgI5BksYIYEEtvEJyRqNpNGc1u+PMcLCM7JkzUEjfT/XxZWZd631vM+iaWyN5l7PyX7Zpxeqs7NTW7du1dq1a7NwJwCAicA0Te3Zs0eS1BVJTE2dcvkVavrhFp34baMkqdhmUYWrQDbDkMPh0J/+6Z/q5ptvlmEY57Wn2+3WV7/6Vf3iF7/QP/7jP6pYYV1e5NTboQEFIhG9/n+3qfNgs6ZcfoWCRw7rVOSDUN3nP//5894XAAAAAAAAyEcj/WLfaB+ABQCYnEpKSiZkqK6kpEQWiyW7zYxSqlDdcNP3kmFSHQAAZ7NarfroRz+q7du3n3Xsueee08aNGyUxqQ4Yqerqav30pz8d0bmE6oDsGd8/9QKAEsG6zZs3y+fzSYZk9Thkv9At21SXLEV2GQ6L9P73wA3JcFhkKbLLNtUl+4VuWT2JQJ3P59PmzZsJ1E0wDQ0N8vv9kilFO0ODgbp1t947okDdmUrdJVp36726/KI5UtxM1DOl+vp6NTQ0ZOgOAAATTUtLi06ePKmYaSoYTYTqjvh/rRO/bZQhaZbTrjmFTtkMQ5WVlfrud7+r3/u93xtzsM0wDN1yyy367ne/q8rKStkthuYUOjXLaZch6cRvX9YR/68lST3RmGKmqZMnT+qNN94Y4x0DAAAAAAAA+WWkX+xjUh0AYCRSTXPLl1BdqgBaqsDaeJKOSXXxeFxHjhxJeoxQHQBgsrvpppuSru/bt0/Hjx+XxKQ6YKSqq6tHfC6hOiB7CNUByAsej0dr167VN77xDS1cuFAyJIvLJluZU/YZRXKUe+S42CNHuUf2GUWylTllcdkkQ1q4cKFqa2u1du1afvE1Ab3/FJRYMCwzHFORs1D3fexuFdgd51WvwO7QfR+7W4UFLpnhmGLBsCRpx44daesZADCx7dq1S5IUiMYUP70Wj8VUYDFUVeTUdIddkvSJT3xC3/nOd3TxxRendf+LL75Y3/nOd/Txj39ckjTdYVdVkVMFFkPxWCLkFz/d35n9AgAAAAAAAJPFSL/Yx+8WAQAjUVKS/IG/+RKqSxVAKy0tzW4j5yEdoboTJ04oGo0mPVZeXn4eXQEAMHGkCtVJ0q9+9StJqSfVEaoDhlq8ePGIzyVUB2SPLdcNAMBo1NTUqKamRh0dHfL7/WppaVFra6uCweDgOW63W3PnzlVVVZW8Xq8qKipy2DEyqb29XU1NTZIpxXsS4bfPXH/rqCfUfVipu0Sf9X5K//jcY4r3hGV1O3TgwAF1dHTw3ycAwLBM09Tu3bslSadOh9Ykqcxu1cVOhyyGIY/Ho7/8y7/UNddck7E+HA6H7rnnHv3O7/yO/v7v/17q6dG8IqfeCYXVGYkN9ldqt2n37t363Oc+N+ZJeQAAAAAAAEC+IFQHAEinfA/VTfZJdYcPH055jEl1AIDJ7tJLL9WcOXPU1tZ21rFf/vKX+qM/+qOUk+pGOiUemCymTp2qyspKtbe3n/Ncl8uV+YYASCJUByBPVVRUaNWqVZISX14PhUKKRCKy2+1yOp18KXyS8Pv9kqR4f0RmzNSUomJdN+/qtNS+bt7VenzXz9Td16N4KCqLyya/3z/43zsAAJJ56623dOzYMcVNU4FoTBZDutjpUJk98aPXRz7yEX35y1/WBRdckJV+rrnmGj3yyCP6zne+owMHDqjCVSCPLap3QuHEJD3T1NGjR/XWW2/p0ksvzUpPAAAAAAAAQK6N9It9brc7w50AACaCfA/VpQqg5XOoLhAIKB6Py2KxnLPGoUOHkq7b7XZNmzZtLO0BADAh3HTTTUlDdc8995xM00wZqmNSHXC26urqEYXqmFQHZM+5f2oEgHHOMAy5XC4VFxfL5XIRqJtEWlpaJEnxUGLizrLLa2SzpicvbrPadO3pgF68PzpkPwAAUtm1a5ckKRCNy2mxaF6RU2V2mywWi1atWqUHH3wwa4G6902dOlXf/va3deedd8pisajMbtO8IqecFosC0bgkDU7XAwAAAAAAACYDJtUBANJpoobqSktLs9vIeUgVqjNNU4FAYEQ1Uk2qu/DCC0cUygMAYKK7+eabk64fPnxYr732mnp7e5MeZ1IdcLbq6uoRnUeoDsgefuoDAOQl0zQHn35iRhKhuqqL0jth57ILLxlSv7W1VaZppnUPAMDE0tHRIUmyWwxVFTpVYLFo+vTp+pu/+RvdcccdOfvFm8Vi0ac//Wn9zd/8jaZNm6YCi0VVhU7ZLYmHEYzkCUgAAAAAAADAREGoDgCQTqlCdSMNdeVaV1dX0vV8mFQ3XPAvVVjww1KF6mbNmnU+LQEAMOHceOONKb/v8txzzzGpDhgFQnXA+EOoDgCQl/r7+xUMBiVJZiQxZefiqen9QHP2tPIh9YPBoEKhUFr3AABMLOXliT87iqwWGYZ03XXX6ZFHHtEVV1yR484SrrjiCn3ve9/TddddJ8NI9ClJF198cY47AwAAAAAAALJnpE/LJ1QHABgJJtXlznDBv7GG6t7/vR8AAJPdlClTdM011yQ99stf/pJJdcAoLFq0aETnEaoDsseW6wYAADgf0Wj0gzenh8c57Y607jFY74zhdJFIRC6XK637AAAmjs985jOyWq16++235fP5dO2118owjFy3NURRUZEeeOABLVu2TH6/X7Nnz9anP/3pXLcFAAAAAAAAZM1In5bvdrsz3AkAYCKYqKG6fJhUl+rfvcSkOgAA0ummm27Snj17zlp//vnnU4bnmFQHnK20tFRz585Va2vrsOdt2rRJnZ2dWrFihRyO9H43GsBQhOoAAHnJZjvjjzBDkimFIuG07jFY74wshN1uT+seAICJxeFwaNWqVblu45wMw9D111+v66+/PtetAAAAAAAAAFk30i/2MakOADAS+R6q6+rqSrqeD6E6m80mt9utYDB41rGRhuoOHTqUdJ1QHQAAH7j55pv1zW9+86z1vr4+9fX1Jb2GSXXA2SKRyIj+f+PnP/+5fv7zn2vGjBm6//77tWbNGr6/DGSIJdcNAABwPlwu1+DTQQ174o+zd04mf3rY+Xr7xKEh9d1uNyOVAQAAAAAAAAAA8txIv9hHqA4AMBLFxcVJ1/MlVJcqfFZaWprdRs5TqvBfqrDghzGpDgCAc7v66qtH/TMyk+qAoZqbm7VkyRLt379/xNccO3ZM69at05IlS9Tc3JzB7oDJi1AdACAvGYahOXPmJF7brZKkliNvpnWPN959a0j9uXPnyjCM4S4BAAAAAAAAAADAODfSL/a9/4BHAACGk2pSXU9Pj2KxWJa7GZ3+/n4NDAwkPZYPk+qk1H2OZFJdMBhUIBBIeoxQHQAAH7Db7frd3/3dUV3DpDrgA7t379bSpUvV2Nh4Xtc3NjZq6dKl2r17d5o7A0CoDgCQt6qqqiRJFmci9Lb79QZFY9G01I7Gotp18MVEfZdtyH4AAAAAAAAAAADIXyMN1TGpDgAwEqlCdVIiWDeeDRc8y/dJdSMJ1aWaUidJ5eXl59kRAAAT00033TSq85lUByQ0Nzdr+fLlKR/mMFKBQEDLly9nYh2QZoTqAAB5y+v1SpIsLrsMq6FTvQG9cDoIN1YvHHxR3X09MqyGLE7bkP0AAAAAAAAAAACQv0b6tHxCdQCAkRguVNfd3Z3FTkZvuODZZJhUN1yo7qKLLjrPjgAAmJhuvvnmUZ3PpDpAikQiuvPOO8ccqHtfIBDQqlWrFIlE0lIPAKE6AEAeq6ys1IIFCyRDsngckqQf/eZJdQXH9qF0V7Bbj/l3SDpd15AWLlyoioqKMfcMAAAAAAAAAACA3GJSHQAgnfI5VNfV1ZXy2GQI1R06dCjp+gUXXCCn0zmGrgAAmHjmzp07qu9QMqkOkDZt2qR9+/altWZjY6M2bdqU1prAZEaoDgCQ11auXClJsrodMhxW9Yb69L2nH9VAJHxe9QYiYX3v6UfVN9Avw2GV1e0Ysg8AAAAAAAAAAADy20i+2Ge32+VwOLLQDQAg3w0XqkvXRIpMSRU8czgccrlc2W3mPGViUt2sWbPG0BEAABOTYRijmlZHqA6TXTgc1sMPP5yR2ps2bVI4fH7fkwYwFKE6AEBeq6mpkdfrlQzJVuaULIZeP9KmjU9uHvXEuq5gtzY+uVmvH2mTLEainiH5fD5VV1dn6A4AAAAAAAAAAACQTUVFRec8hyl1AICRKigoUEFBQdJj+TqpbsqUKTIMI8vdnJ/S0tKk64TqAABIv5tuumnE547kZ29gItu5c6eOHTuWkdpHjx7Vzp07M1IbmGwI1QEA8t4999yjsrIyGXaLbFNdg8G6B7Z9S8837VY0Fh32+mgsquebduuBbd/6IFA31SXDblFZWZlWr16dpTsBAAAAAAAAAABApo3kafmE6gAAo5FqWt14D9WlCp6lCqqNR5mYVFdeXj6GjgAAmLg++tGPjjh4/9RTTzFJC5Pas88+m9f1gcnClusGAAAYK4/Ho7q6Oq1fv15BBWWfXqhoZ0h9A/36x+ce0+O7fqZr512tyy68RLOnlctpdygUCevtE4f0xrtvadfBF9Xd1yNJMhxW2cqcMuwWud1u1dXVnfOXpqZpqr+/X9FoVDabTS6XK2+e2AYAAAAAAAAAADDZEKoDAKRbSUmJjh8/ftZ6vobqUgXVxqNMhOqYVAcAQHIej0ezZs3SoUOHznnuH/7hH2rGjBm6//77tWbNGtnt9ix0CIwfL730Ukbrv/zyyxmtD0wWhOoAABNCZWWlNmzYoNraWnV2dso+vVCxYFjxnrC6+3r0dOOvhr3esBqyeByyuh2SIZWVlamurk6VlZVJz29vb5ff71dLS4va2toUDAYHj7ndbs2ZM0dVVVXy+XyqqKhI560CAAAAAAAAAABgDIqKis55jtvtzkInAICJori4OOn6eA/VdXV1JV2fCKG6VPd2plSBAEJ1AACcrbm5WatWrRpRoO59x44d07p16/TjH/9Y27Zt0/z58zPYITC+tLS05HV9YLIgVAcAmDAqKyu1efNmbd26VfX19bKeDsnFQ1HF+6MyIzGZkbhkSjIkw26RYbfK4rLJ4rRJp4fL+Xw+rV69OukTSBsaGrR9+3Y1NTWl7CMYDGr//v3av3+/nnjiCS1YsEC33XabqqurM3TnAAAAAAAAAAAAGCkm1QEA0q2kpCTp+ngP1aWa5lZaWprdRsYgVaiup6dH0WhUNlvyr0hGo1EdO3Ys6TFCdQAADLV7924tX75cgUDgvK5vbGzU0qVL9cwzz2jZsmVp7g4YnwYGBjJaPxQKZbQ+MFkQqgMATCgej0dr166Vz+fTjh07dODAgURoznXuP/IWLlyolStXJg2/9fT0aMuWLfL7/YkFU4r3RxQPxVKH9ZxWWVx2NTU1qampadiwHgAAAAAAAAAAALKDUB0AIN3yNVQ3kSfVSVIgEFBZWVnSY0ePHlU8Hk96jFAdAAAfaG5uHlOg7n2BQEDLly/Xnj17mFiHSaGgoCCjwTen05mx2sBkQqgOADAh1dTUqKamRh0dHfL7/WppaVFra6uCweDgOW63W3PnzlVVVZW8Xq8qKiqS1mpvb1dtba06OzslU4oFw4r3hGXGzLNPNiUzHJcZjiveG5FhHZDl9MS8+vp6vfrqq6qrq1NlZWWG7hwAAAAAAAAAAADDsVgscjqdw36xye12Z7EjAEC+y9dQ3USeVCcl7i9VqO7w4cMprysvLx9rWwAATAiRSER33nnnmAN17wsEAlq1apX27t0ru92elprAeFVVVaVXXnklo/UBjB2hOgDAhFZRUaFVq1ZJkkzTVCgUUiQSkd1ul9PplGEYw17f3t6u9evXKxgMyozEFe0MyQzHJEklhR5dO+9qVV10qS6eOktOu0OhSFjvnDysliNvatfBF9Xd16PYqQHF+6KylTnV2dmp9evXa8OGDQTrAAAAAAAAAAAAcqSwsHDYUB2T6gAAozHRQnUTZVJdqvuTUofqnE5nXoUKAQDIpE2bNmnfvn1prdnY2KhNmzbpgQceSGtdYLyprq7OaKhu8eLFGasNTCaWXDcAAEC2GIYhl8ul4uJiuVyucwbqenp6VFtbq2AwqPhATJHjfTLDMRU5C/WFmz6rR+5+UJ/1fko1c6/SzCnTNKWoRDOnTFPN3Kv0We+n9MjdD+oLN31WRc5CmeHE9fGBmILBoGpra9XT05OlOwcAAAAAAAAAAMCZioqKhj1OqA4AMBqpQnXpmuqSKV1dXUnX8ylUl+rfvTR8qO7QoUNJ12fNmnXO75MAADAZhMNhPfzwwxmpvWnTJoXD4YzUBsaLW265Ja/rA5MFoToAAFLYsmWLOjs7ExPqTvZLcVOXXzRHG+/8um5YsEw26/ADX21Wm25YsEwb7/y6Lr9ojhQ3FT3ZLzMSV2dnp7Zu3ZqlOwEAAAAAAAAAAMCZCgsLhz1OqA4AMBoTbVJdPk1qs1qtKi4uTnrsfCbVzZo1Kx1tAQCQ93bu3Kljx45lpPbRo0e1c+fOjNQGxosVK1ZoxowZGak9c+ZMrVixIiO1gcmGUB0AAEk0NDTI7/dLphTtDA0G6tbdeq9K3amfcpZMqbtE626994NgXWdIMqX6+no1NDRk6A4AAAAAAAAAAACQyrlCdW63O0udAAAmgnwM1cXj8ZShs3yaVCel7pdQHQAA5+/ZZ5/N6/pArjkcDt1///0Zqb1mzRo5HI6M1AYmG0J1AAAksX37dklSLBiWGY6pyFmo+z52twrs5/eX0AK7Q/d97G4VFrhkhmOKBROjy3fs2JG2ngEAAAAAAAAAADAyRUVFwx5nUh0AYDTyMVTX09Mj0zSTHsunSXVSekN15eXlaegIAID899JLL2W0/ssvv5zR+sB4sGbNGi1atCitNRctWqQ1a9aktSYwmRGqAwDgQ9rb29XU1CSZUrwnEX77zPW3jnpC3YeVukv0We+nJJ2ua0oHDhxQR0fHmHsGAAAAAAAAAADAyJ1rUh2hOgDAaBQXFyddDwQCKYNruTZc4IxJdQAAoKWlJa/rA+OB3W7Xtm3bUv68MFolJSXatm2b7HZ7WuoBIFQHAMBZ/H6/JCneH5EZMzWlqFjXzbs6LbWvm3e1Sgo9MmOm4qHokP0AAAAAAAAAAACQHecK1bnd7ix1AgCYCFJNqovH4woGg1nuZmS6urpSHpsoobpU92iapg4dOpT0GKE6AAASBgYGMlo/FApltD4wXsyfP1/PPPPMmIN1JSUlevrppzV//vw0dQZAIlQHAMBZ3n8CSjwUkyQtu7xGNqstLbVtVpuuPR3Qi/dHh+wHAAAAAAAAAACA7CgqKhr2OJPqAACjkSpUJ0nd3d1Z7GTkJvOkulOnTqm/vz/pMUJ1AAAkFBQUZLS+0+nMaH1gPFm2bJn27NmjRYsWndf1ixYt0u7du7Vs2bI0dwaAUB0AAGcwTVNtbW2J15FEqK7qokvTusdlF14ypH5ra6tM00zrHgAAAAAAAAAAAEjtXJPqCNUBAEYjH0N1qaa4ud1u2WzpefBwtow2VHf48OGUtQjVAQCQUFVVldf1gfFm/vz52rt3rzZu3KgZM2aM6JqZM2dq48aN2rt3LxPqgAzJr59+AQDIsP7+fgWDQUmSGYlLki6emt4PTGdPKx9SPxgMKhQKyeVypXUfAAAAIJ+Ypqn+/n5Fo1HZbDa5XC4ZhpHrtgAAAAAAExShOgBAOuVjqC5V4CzfptRJ6QvVGYahCy+8ME1dAQCQ36qrq/XKK69krP7ixYszVhsYr+x2ux544AF96Utf0s6dO/Xss8/q5ZdfVktLi0KhkJxOp6qqqrR48WLdcsstWrFihRwOR67bBiY0QnUAAJwhGo1+8Ob08DinPb1/IR2sd8ZwukgkQqgOAAAAk057e7v8fr9aWlrU1tY2+IALKfE05Dlz5qiqqko+n08VFRU57BQAAAAAMNEUFRUNe9ztdmepEwDAROByuWSz2YZ+5+C0QCCQg47OLVXgrLS0NLuNpEG6QnUzZsyQ3W5PU1cAAOS3W265RT/84Q8zWh+YrBwOh26//XbdfvvtuW4FmPQI1QEAcAab7Yw/Gg1JphSKhNO6x2C9M4Zu8KEsAAAAJpOGhgZt375dTU1NKc8JBoPav3+/9u/fryeeeEILFizQbbfdpurq6ix2CgAAAACYqJhUBwBIJ8MwVFJSovfee++sY+N1Ul1XV1fS9ckwqe7QoUNJ12fNmpWmjgAAyH8rVqzQjBkzdOzYsbTXnjlzplasWJH2ugAAjBahOgAAzuByueR2uxUMBmXYLTLDcb1z8rBmTpmWtj3ePpH4cNawWyQlnnTqdDrTVh8AAAAYr3p6erRlyxb5/f7EgmlKoVNSKCBF+qRoKLFmGJLNKdkLJWex5JyipqYmNTU1yefzafXq1Xy5EQAAAAAwJsOF6mw2mwoKCrLYDQBgIsi3UN1EmlSXqufRTqojVAcAwAccDofuv/9+rVu3Lu2116xZI4fDkfa6AACMliXXDQAAMJ4YhqE5c+YkXtutkqSWI2+mdY833n1rSP25c+fKMIzhLgEAAADyXnt7u+69995EoM40pZ5j0rFXpc43pb6TiVCdGZdkJv4z0pdY73wzcV7PMck0VV9fr3vvvVft7e25viUAAAAAQJ4Kh8M6ePBgyuMWi0U/+clPFA6Hs9gVACDfFRcXJ10fr6G6yTCpLhgMKhqNnrVOqA4AgJFZs2aNFi1alNaaixYt0po1a9JaEwCA80WoDgCAD6mqqpIkWZyJ0Nvu1xsUjZ39Iev5iMai2nXwxUR9l23IfgAAAMBE1d7ervXr16uzs1OKhKQTr0uBQ1IsoimFDt1aPUtfW3GFfnB3tf7ti9foB3dX62srrtCt1bM0pdAhxSKJ80+8LkVC6uzs1Pr16wnWAQAAAABGJRKJ6KGHHtLs2bP1gx/8IOV54XBYd9xxh2bPnq2HHnpIkUgki10CAPJVSUlJ0vXxGqpLNcVtIoXqpOT//lOF6srLy9PVEgAAE4Ldbte2bdtSPjxgtEpKSrRt2zbZ7fa01AMAYKwI1QEA8CFer1eSZHHZZVgNneoN6IXTQbixeuHgi+ru65FhNWRx2obsBwAAAExEPT09qq2tVTAYlMK90omDUqRXbqdNf/F7l+mfV9forhsu1dLLpurCUpdKixy6sNSlpZdN1V03XKp/Xl2jv/i9y+R22qTI6evDvQoGg6qtrVVPT0+ubxEAAAAAkAeam5u1ZMkSrVu3TseOHRvRNceOHdO6deu0ZMkSNTc3Z7hDAEC+myihutLS0uw2kgbDheqS3SeT6gAAGLn58+frmWeeGXOwrqSkRE8//bTmz5+fps4AABg7QnUAAHxIZWWlFixYIBmSxeOQJP3oN0+qKzi2D7q7gt16zL9D0um6hrRw4UJVVFSMuWcAAABgvNqyZcsHE+pOviGZMc2fVazvf26RbvrITNmsw388ZbNadNNHZur7n1uk+bOKJTOWqHN6Yt3WrVuzdCcAAAAAgHy1e/duLV26VI2Njed1fWNjo5YuXardu3enuTMAwESSb6G6rq6upOsTbVLdh+9zYGBAJ06cSHouoToAAJJbtmyZ9uzZo0WLFp3X9YsWLdLu3bu1bNmyNHcGAMDYEKoDACCJlStXSpKsbocMh1W9oT597+lHNRAJn1e9gUhY33v6UfUN9MtwWGV1O4bsAwAAAExEDQ0N8vv9kmlKXe2Dgbpv3rZQZe6CUdUqcxfom7ct/CBY19Uumabq6+vV0NCQkf4BAAAAAPmvublZy5cvVyAQGFOdQCCg5cuXM7EOAJBSvoXqJtKkuuLiYhmGkfTYh+/zyJEjKesQqgMAILX58+dr79692rhxo2bMmDGia2bOnKmNGzdq7969TKgDAIxLhOoAAEiipqZGXq9XMiRbmVOyGHr9SJs2Prl51BPruoLd2vjkZr1+pE2yGIl6huTz+VRdXZ2hOwAAAAByb/v27YkXweNSpFdup03rfn+eCuzW86pXYLdq3e/PU1GBTYr0Sr3HJUk7duxIV8sAAAAAgAkkEonozjvvHHOg7n2BQECrVq1SJBJJSz0AwMQyUUJ1+TipzmKxqLi4OOmxD9/n4cOHU9YhVAcAwPDsdrseeOABvf3223r88cd111136corr5TL5ZJhGHK5XLryyit111136fHHH1dHR4ceeOAB2e32XLcOAEBStlw3AADAeHXPPffowIED6uzslG2qS9GT/Xr9SJse2PYtfdb7KV0372rZrKn/KI3Gonrh4It6zL9DfQP9iUDdVJcMu0VlZWVavXp1Fu8GAAAAyK729nY1NTUlptT1HpMk3eW7ZNQT6j6szF2gu2+4RI/84g0peEwqmq4DBw6oo6NDFRUV6WgdAAAAADBBbNq0Sfv27UtrzcbGRm3atEkPPPBAWusCAPJfqlBdusLd6RSJRNTb25v0WD6G6qRE38kCjCMN1Xk8npTBPAAAMJTD4dDtt9+u22+/PdetAAAwJkyqAwAgBY/Ho7q6OrndblkKrLJPL5ThsKpvoF//+Nxj+otHv67H/Dv04hv7dPTUCZ3q7dbRUyf04hv79Jh/h/7i0a/rH597TH0D/TIciestBVa53W7V1dXJ4/Hk+hYBAACAjPH7/YkXoVNSLKLSIodunD89LbVvnD9dUwodUiySqH/mfgAAAAAASAqHw3r44YczUnvTpk0Kh8MZqQ0AyF/5NKku1ZQ6SSotLc1eI2mUKgw40lAdU+oAAAAAYPJhUh0AAMOorKzUhg0bVFtbq87OTtmnFyoWDCveE1Z3X4+ebvzVsNcbVkMWj0NWt0MypLKyMtXV1amysjI7NwAAAADkSEtLS+JFKPEU5huumCabNT3Pd7JZLbpx/jQ9+dLhRH1X6Qf7AQAAAAAgaefOnTp27FhGah89elQ7d+7kifwAgCHyKVTX1dWV8li+TqpLFQb8cKju0KFDSc8jVAcAAAAAkw+T6gAAOIfKykpt3rxZPp9PMiSrxyH7hW7ZprpkKbLLcFgk4/TJhmQ4LLIU2WWb6pL9QresnkSgzufzafPmzQTqAAAAMOGZpqm2trbEm0ifJOmKWcVp3WPeRcVD6re2tso0zbTuAQAAAADIX88++2xe1wcA5J/i4uSfgXZ3d4+7zy6ZVHc2QnUAAAAAMPkwqQ4AgBHweDxau3atfD6fduzYoQMHDsjissniOvcfpQsXLtTKlStVXV2dhU4BAACA3Ovv71cwGEy8iYYkSZVTi9K6xyXTiobUDwaDCoVCcrlcad0HAAAAAJCfXnrppYzWf/nllzNaHwCQf1JNqotGo+rv71dhYWGWO0otVajOYrHI7XZnt5k0IVQHAAAAABgtQnUAAIxCTU2Nampq1NHRIb/fr5aWFrW2tn7whWFJbrdbc+fOVVVVlbxeryoqKnLYMQAAAJB90Wj0gzenn8DsdFjTusdgvTOe8ByJRAjVAQAAAAAkSS0tLXldHwCQf1KF6qTEtLrxFKrr6upKuj5lyhQZhpHlbtJjrKG68vLyNHcEAAAAABjvCNUBAHAeKioqtGrVKkmSaZoKhUKKRCKy2+1yOp15+yEzAAAAkA422xkfORmGZJoKhWNSGofVhcKxD+qfZrfb07cBAAAAACCvDQwMZLR+KBTKaH0AQP45V6juwgsvzGI3w0s1qa60tDS7jaRRqlDdmQHCeDyuI0eOJD2PSXUAAAAAMPlYct0AAAD5zjAMuVwuFRcXy+VyEagDAADApOdyueR2uxNvbE5JUvvJ3rTu8daJ3iH13W63nE5nWvcAAAAAAOSvgoKCjNbnZ1AAwIedK1Q3ngw3qS5fjWRS3cmTJxUOh5OeR6gOAAAAACYfQnUAAAAAAABIK8MwNGfOnMQbe6Ek6bXDgbTucfBIYEj9uXPn8oALAAAAAMCgqqqqvK4PAMg/brdbFkvyr+MFAun9fHSsJtOkujPv9fDhwymvJ1QHAAAAAJMPoToAAAAAAACk3eCXC53FkqTnXzuhaCyeltrRWFy/bj4xpD5fZgQAAAAAnKm6ujqj9RcvXpzR+gCA/GMYhoqLi5MeG2+T6lKF6ib6pLpUoTqr1arp06dnoCsAAAAAwHhGqA4AAAAAAABp5/V6Ey+cUySrXV29Yf26+Xhaav+6+bhO9YUlqz1R/8z9AAAAAACQdMstt+R1fQBAfiopKUm6Pt5CdV1dXUnXJ2Korq+vT+FwWFLqUN1FF10kq9WaqdYAAAAAAOMUoToAAAAAAACkXWVlpRYsWCAZhlQ0Q5L0w/q31BkcGFPdzuCAHn3+rcQb9wzJMLRw4UJVVFSMtWUAAAAAwASyYsUKzZgxIyO1Z86cqRUrVmSkNgAgv+VLqC7VpLrS0tLsNpJGwwUC3//3nypUN2vWrEy0BAAAAAAY5wjVAQAAAAAAICNWrlyZeOGeLtmLFAxFtfGpgxqIxM6r3kAkpo1PHVTvQFSyF0lF04fuAwAAAADAaQ6HQ/fff39Gaq9Zs0YOhyMjtQEA+a24uDjp+ngL1U3ESXXDBQLfDxEeOnQo6XFCdQAAAAAwORGqAwAAAAAAQEbU1NTI6/UmptWVVkqGVc2HA/rGTw6MemJdZ3BA3/jJATUfDkiG9XQ9Qz6fT9XV1RnpHwAAAACQ39asWaNFixalteaiRYu0Zs2atNYEAEwcTKrLneECge/fL5PqAAAAAABnIlQHAAAAAACAjLnnnntUVlYm2Z3S1MsGg3V/9s+Neu7Vo4rG4sNeH43F9dyrR/Vn/9z4QaBu6mWS3amysjKtXr06S3cCAAAAAMg3drtd27ZtSzk1aLRKSkq0bds22e32tNQDAEw8+R6qy+dJdW63WxZL8q9DEqoDAAAAACRjy3UDAAAAAAAAmLg8Ho/q6uq0fv16BYOSps2TutrVO9CrR37xhv7tNx26cf40zbuoWJdMK5LTYVUoHNNbJ3p18EhAv24+oVN94UQxe1FiQp3dKbfbrbq6Onk8nlzeHgAAAABgnJs/f76eeeYZLV++XIFA4LzrlJSU6Omnn9b8+fPT2B0AYKLJh1CdaZrq6upKeiyfQ3UWi0UlJSVJ7+1cobry8vJMtgYAAAAAGKcI1QEAAAAAACCjKisrtWHDBtXW1qqzs1OadrnUe1wKHtOpvrCefOmwpORfZpAkWe2Se4ZUNF0yDJWVlamurk6VlZXZugUAAAAAQB5btmyZ9uzZo1WrVqmxsXHU1y9atEjbtm0jUAcAOKd8CNX19fUpGo0mPVZaWprlbtJrypQpSUN1XV1d6u3tTTmhj0l1AAAAADA5JZ93DgAAAAAAAKRRZWWlNm/eLJ/PJxlGIiQ34yNS2aVS4VTJXigZFklG4j/thYn1sksT57lnSIYhn8+nzZs3E6gDAAAAAIzK/PnztXfvXm3cuFEzZswY0TUzZ87Uxo0btXfvXgJ1AIARSRWqG8u01HRLNaVOyu9JdVLq/k+dOpVySp1EqA4AAAAAJism1QEAAAAAACArPB6P1q5dK5/Ppx07dujAgQOSqzTxzzksXLhQK1euVHV1dRY6BQAAAABMRHa7XQ888IC+9KUvaefOnXr22Wf18ssvq6WlRaFQSE6nU1VVVVq8eLFuueUWrVixQg6HI9dtAwDySD5Mqks1rU0iVAcAAAAAmFwI1QEAAAAAACCrampqVFNTo46ODvn9frW0tKi1tVXBYHDwHLfbrblz56qqqkper1cVFRU57BgAAAAAMJE4HA7dfvvtuv3223PdCgBggiFUl1vnE6orLS2Vy+XKYFcAAAAAgPGKUB0AAAAAAAByoqKiQqtWrZIkmaapUCikSCQiu90up9MpwzBy3CEAAAAAAAAAjFw+hOq6urqSrjudTjmdzix3k17nE6orLy/PYEcAAAAAgPGMUB0AAAAAAAByzjAMuVwunggMAAAAAAAAIG8VFxcnXR8YGNDAwIAKCgqy3NHZUk2qKy0tzW4jGZDqHoYL1c2aNSuTLQEAAAAAxjFLrhsAAAAAAAAAAAAAAAAAACDfpZpUJ42faXWpJtWlmvKWT4abVHfo0KGkxwjVAQAAAMDkxaQ6AAAAAAAAAAAAAAAAAADG6FyhuunTp2exm+RSTaqb6KG6WCyW9BihOgAAAACYvAjVAQAAAAAAAAAAAAAAAAAwRvkwqS5VqK60tDS7jWTAcKG6QCCQ9BihOgAAAACYvAjVAQAAAAAATHCmaaq/v1/RaFQ2m00ul0uGYeS6LQAAAAAAAACYUDweT8pj4yVU19XVlXR9Ik+q6+zsVDQaTXqsvLw8gx0BAAAAAMYzQnUAAAAAAAATUHt7u/x+v1paWtTW1qZgMDh4zO12a86cOaqqqpLP51NFRUUOOwUAAAAAAACAicFqtcrj8ainp+esY6kmpWXbZJxUNzAwkPIaJtUBAAAAwORFqA4AAAAAAGACaWho0Pbt29XU1JTynGAwqP3792v//v164okntGDBAt12222qrq7OYqcAAAAAAAAAMPGUlJQkDdWNl0l1qUJ1E3lS3XAI1QEAAADA5EWoDgAAAAAAYALo6enRli1b5Pf7EwumKYVOSaGAFOmToqHEmmFINqdkL5ScxZJzipqamtTU1CSfz6fVq1fL4/Hk9F4AAAAAAAAAIF+VlJTo0KFDZ62Pl1BdV1dX0vXJGKorKCjQBRdckJlmAAAAAADjHqE6AAAAAACAPNfe3q7a2lp1dnYmgnPB41LvMSkWOftk00yE7CJ9Ut9JyWqXimZI7umqr6/Xq6++qrq6OlVWVmb9PgAAAAAAAAAg3xUXFyddHy+hulST6kpLS7PbSAaMNlR30UUXyTCMzDQDAAAAABj3CNUBAAAAAADksfb2dq1fv17BYFCKhKSudinSK0maUujQjfOn6YpZxaqcWiSnw6pQOKb2k7167XBAv24+oVN9YSlwSOrvkkor1dnZqfXr12vDhg0E6wAAAAAAAABglEpKSpKuj5dQ3USeVOd2u2W1WhWLxUZ0fnl5eYY7AgAAAACMZ4TqAAAAAAAA8lRPT49qa2sTgbpwr3TyDcmMye206S7fJbpx/nTZrJahFxVJF5a6tPSyqfpf11fq183H9cP6txQM9UonDkpTL1MwKNXW1mrz5s3yeDy5uTkAAAAAAAAAyEPjOVQXi8UUCASSHpsIk+oMw9CUKVP03nvvjej8WbNmZbgjAAAAAMB4Zjn3KQAAAAAAABiPtmzZos7OzsSEutOBuvmzivX9zy3STR+ZeXag7kNsVotu+shMff9zizR/VrFkxhJ1IiF1dnZq69atWboTAAAAAAAAAJgYxnOoLlWgTpoYk+qk0d0HoToAAAAAmNwI1QEAAAAAAOShhoYG+f1+yTSlrvbBQN03b1uoMnfBqGqVuQv0zdsWfhCs62qXTFP19fVqaGjISP8AAAAAAAAAMBGN51BdV1dXymOE6gAAAAAAkw2hOgAAAAAAgDy0ffv2xIvgcSnSK7fTpnW/P08Fdut51SuwW7Xu9+epqMAmRXql3uOSpB07dqSrZQAAAAAAAACY8MZzqO7UqVMpj5WWlmavkQwiVAcAAAAAGClCdQAAAAAAAHmmvb1dTU1NiSl1vcckSXf5Lhn1hLoPK3MX6O4bLkm8CR6TTFMHDhxQR0fHWFsGAAAAAAAAgEkhVaguEAhkuZOzDTeprri4OIudZM5oQnXl5eWZawQAAAAAMO4RqgMAAAAAAMgzfr8/8SJ0SopFVFrk0I3zp6el9o3zp2tKoUOKRRL1z9wPAAAAAAAAADCsfJxUV1JSIqvVmt1mMoRJdQAAAACAkSJUBwAAAAAAkGdaWloSL0KJJxvfcMU02azp+ZjHZrXoxvnThtQf3A8Assw0TfX19SkQCKivr0+maea6JQAAAAAAgGHlY6huNEG08W4093LhhRdmrhEAAAAAwLhny3UDAAAAAAAAGDnTNNXW1pZ4E+mTJF0xqzite8y7qFjS4cH6ra2tMk1ThmGkdR8ASKa9vV1+v18tLS1qa2tTMBgcPOZ2uzVnzhxVVVXJ5/OpoqIih50CAAAAAACcrbg4+ee1fX19ikQistvtWe7oA11dXUnXJ2Oobvr06XI4HJltBgAAAAAwrhGqAwAAAAAAyCP9/f0fBEyiIUlS5dSitO5xybSiIfWDwaBCoZBcLlda9wGAMzU0NGj79u1qampKeU4wGNT+/fu1f/9+PfHEE1qwYIFuu+02VVdXZ7FTAAAAAACA1FJNqpOkQCCgCy64IIvdDJVqUl1paWl2G8mgkYbqZs2aldlGAAAAAADjHqE6AACQc6Zpqr+/X9FoVDabTS6XiykoAAAAKUSj0Q/emKYkyemwpnWPwXqn60tSJBIhVAcgI3p6erRlyxb5/X5JiZ8RA+GAgpGg+qP9GogNDE7LLLAWyGVzyW13q9hRrKamJjU1Ncnn82n16tXyeDw5vhsAAAAAADDZDReq6+7uzmmobjJMqhtpQLC8vDzDnQAAAAAAxjtCdQAAICfa29vl9/vV0tKitra2D6atSHK73ZozZ46qqqrk8/lUUVGRw04BAADGF5vtjI9zDEMyTYXCMSmNw+pC4dgH9U+z2+3p2wAATmtvb1dtba06OztlytR7/e/pZP9JRePRs841TVOhaEihaEhdoS7ZLDZNdU3VBa4LVF9fr1dffVV1dXWqrKzM/o0AAAAAAACcdq5QXS4xqe4DTKoDAAAAABCqAwAAWdXQ0KDt27erqakp5TnBYFD79+/X/v379cQTT2jBggW67bbbVF1dncVOAQAAxieXyyW32514KIHNKUX61H6yVxeWpm+K3FsnehMvbE5JiYceOJ3OtNUHACkRqFu/fr2CwaAGYgM61HNI/dF+SZLD7dCsK2eprKJMnhkeWR1WxcIx9RzrUWdHpw7vP6xwMKyjvUfVPdCtck+5Ojs7tX79em3YsIFgHQAAAAAAyJni4uKUx8ZrqG4iTaojVAcAAAAAGClCdQAAICt6enq0ZcsW+f3+xIIpxfsjiodiMiMxmZG4ZEoyJMNukWG3yuK0yuKyq6mpSU1NTfL5fFq9erU8Hk9O7wUAACCXDMPQnDlztH//fsleKEX69NrhgJZeNjVtexw8Eki8sBdKkubOnSvjjKl1ADBWPT09qq2tVTAYVF+kT+2BdsXNuOwuu6645QrNumqWLFbLWdcVXVCkmfNnat7N83T4t4f12rOvqb+/X22n2lRZXCkFpdraWm3evJmfHQEAAAAAQE7Y7XYVFhaqr6/vrGO5CtWFw2Ht3LlTDQ0NSY8///zzeuKJJ7RixQo5HI4sd5dehOoAAAAAACN19rcSAAAA0qy9vV333ntvIlBnSrGesCLvBhV9L6R4b0Rm+HSgTpJMyQzHFe+NKPpeSJF3g4r1hCVTqq+v17333qv29vZc3g4AAEDOVVVVJV44E088fv61E4rG4mmpHY3F9evmE0PqD+4HAGmyZcsWdXZ2aiA2MBioK60olfc+ry5efHHSQN2ZLFaLLl58sbz3eVVaUaq4GVd7oF0DsQF1dnZq69atWboTAAAAAACAs5WUlCRdDwQCWe0jEonooYce0uzZs3XHHXfoxIkTSc/bt2+f7rjjDs2ePVsPPfSQIpFIVvtMJ0J1AAAAAICRIlQHAAAyqr29XevXr1dnZ6fMSFyR432KnRqQGTNVUujRxxZ9VF/6xBf0nc/9tb7/hf9P3/ncX+tLn/iCPrbooyop9MiMmYqdGlDkeJ/MSFydnZ1av349wToAADCpeb3exAvnFMlqV1dvWL9uPp6W2r9uPq5TfWHJak/UP3M/AEiDhoYG+f1+maapQz2HBgN11/zxNXIWO0dVy1ns1DV/fM1gsO5QzyGZMlVfX5/yyesAAAAAAACZlipUl81Jdc3NzVqyZInWrVunY8eOjeiaY8eOad26dVqyZImam5sz3GFmjDRUV15entlGAAAAAADjHqE6AACQMT09PaqtrVUwGFR8IJYIxoVjKnIW6gs3fVaP3P2gPuv9lGrmXqWZU6ZpSlGJZk6Zppq5V+mz3k/pkbsf1Bdu+qyKnIUyw4nr4wMxBYNB1dbWqqenJ9e3CAAAkBOVlZVasGCBZBhS0QxJ0g/r31JncGBMdTuDA3r0+bcSb9wzJMPQwoULVVFRMdaWAWDQ9u3bJUnvhd5Tf7Rfdpddiz69SFaH9bzqWR1WLfr0ItmcNvVH+/Ve/3uSpB07dqStZwAAAAAAgNHIdahu9+7dWrp0qRobG8/r+sbGRi1dulS7d+9Oc2eZV1hYKJvNds7zmFQHAAAAACBUBwAAMmbLli2DE+qiJ/uluKnLL5qjjXd+XTcsWCabdfgPsm1Wm25YsEwb7/y6Lr9ojhQ3FT3ZPzixbuvWrVm6EwAAgPFn5cqViRfu6ZK9SMFQVBufOqiBSOy86g1EYtr41EH1DkQle5FUNH3oPgCQBu3t7WpqapJpmjrZf1KSdMUtV4x6Qt2HOYudmr98viTpZP9JmaapAwcOqKOjY8w9AwAAAAAAjFZxcXHS9WyE6pqbm7V8+XIFAoEx1QkEAlq+fHneTawzDOOc0+qKiopS/t8IAAAAADB5EKoDAAAZ0dDQIL/fL5lStDM0GKhbd+u9KnUnfypfKqXuEq279d4PgnWdIcmU6uvr1dDQkKE7AAAAGN9qamrk9XoT0+pKKyXDqubDAX3jJwdGPbGuMzigb/zkgJoPByTDerqeIZ/Pp+rq6oz0D2By8vv9kqRAOKBoPKoCd4FmXZWep4LPumqWHG6HovGoesI9Q/YDAAAAAADIplxNqotEIrrzzjvHHKh7XyAQ0KpVqxSJRNJSL1vOFaqbNWuWDMPITjMAAAAAgHGLUB0AAMiI7du3S5JiwbDMcExFzkLd97G7VWB3nFe9ArtD933sbhUWuGSGY4oFw5KkHTt2pK1nAACAfHPPPfeorKxMsjulqZcNBuv+7J8b9dyrRxWNxYe9PhqL67lXj+rP/rnxg0Dd1Msku1NlZWVavXp1lu4EwGTR0tIiSQpGgpKki668SBZrej6mtlgtmnVlIqDXE+kZsh8AAAAAAEA25SpUt2nTJu3bty+tNRsbG7Vp06a01sy0kYTqAAAAAAAgVAcAANKuvb1dTU1NkinFexLht89cf+uoJ9R9WKm7RJ/1fkrS6bqmdODAAXV0dIy5ZwAAgHzk8XhUV1cnt9stOYqkafMke5F6B6J65Bdv6E+2NuiHz7+p3S0n9W5Xv7p6w3q3q1+7W07qh8+/qT/Z2qBHfvGGegeikv309Y4iud1u1dXVyePx5PoWAUwgpmmqra1NktQf7ZcklVWUpXWP0tmlQ+q3trbKNM207gEAAAAAAHAuuQjVhcNhPfzwwxmpvWnTJoXD4YzUzoTS0tJhj5eXl2epEwAAAADAeGbLdQMAAGDi8fv9kqR4f0RmzNSUomJdN+/qtNS+bt7VenzXz9Td16N4KCqLyya/369Vq1alpT4AAEC+qays1IYNG1RbW6vOzk5p2uVS73EpeEyn+sJ68qXDkg6nLmC1S+4ZUtF0yTBUVlamuro6VVZWZusWAEwS/f39CgYTE+oGYgOSJM+M9IZ3i2cWD6kfDAYVCoXkcrnSug8AAAAAAMBwchGq27lzp44dO5aR2kePHtXOnTt1++23Z6R+OoXDYfX09Ax7Tk9Pj8LhsBwOR5a6AgAAAACMR0yqAwAAadfS0iJJiodikqRll9fIZk1Plt9mtena0wG9eH90yH4AAACTVWVlpTZv3iyfzycZRiIkN+MjUtmlUuFUyV4oGRZJRuI/7YWJ9bJLE+e5Z0iGIZ/Pp82bNxOoA5AR0Wh08PX70+OsDmta93i/3pnT6SKRSFr3AAAAAAAAOJdchOqeffbZjNXORv2xikQieuihhzR79mzt3bt32HN/+tOfavbs2XrooYf47AgAAAAAJjEm1QEAgLQyTVNtbW2J15FEqK7qokvTusdlF14ypH5ra6tM05RhGGndBwAAIJ94PB6tXbtWPp9PO3bs0IEDByRXaeKfc1i4cKFWrlyp6urqLHQKYLKy2T74ONowDJmmqVg4ltY93q935s+Hdrs9rXsAAAAAAACcS6pQXSAQyNieL730UsZqS9LLL7+c0fpj0dzcrFWrVqmxsXHE1xw7dkzr1q3Tj3/8Y23btk3z58/PYIcAAAAAgPGIUB0AAEir/v5+BYNBSZIZiUuSLp46K617zJ5WPqR+MBhUKBSSy+VK6z4AAAD5qKamRjU1Nero6JDf71dLS4taW1sH/44mSW63W3PnzlVVVZW8Xq8qKipy2DGAycLlcsntdisYDKrAWqBQNKSeYz0quqAobXsEjia+mFZgLZCU+N87p9OZtvoAAAAAAAAjkYtJdS0tLRmrnY3652v37t1avnz5eQcWGxsbtXTpUj3zzDNatmxZmrsDAAAAAIxnhOoAAEBaRaPRD96Yif9w2h1p3WOwnvnBWiQSIVQHAABwhoqKCq1atUpSYppwKBRSJBKR3W6X0+lkyi+ArDMMQ3PmzNH+/fvlsrkUiobU2dGpmfNnpm2Prre7JEkuW+Lnw7lz5/K/dwAAAAAAIOtShep6enoUi8VktVrTvufAwEDaa54pFApltP75aG5uHlOg7n2BQEDLly/Xnj17mFgHAAAAAJOIJdcNAACAicVmOyOzf/p7i6FIOK17DNY743uRdrs9rXsAAABMJIZhyOVyqbi4WC6Xi4AJgJypqqqSJLntbknSkf1HFI/F01I7Hovr8P7DkiSP3TNkPwAAAAAAgGwqLi5OeaynpycjexYUFGSk7vucTmdG649WJBLRnXfeOeZA3fsCgYBWrVqlSCSSlnoAAAAAgPGPUB0AAEgrl8sltzvx5UjDnvirxjsnD6d1j7dPHBpS3+12j7sP8AEAAAAAZ/N6vZKkYkexbBabBoIDOvzb9PzMePi3hxUOhmWz2ORxeIbsBwAAAAAAkE2pJtVJUnd3d0b2zPTDhcbbw4s2bdqkffv2pbVmY2OjNm3alNaaAAAAAIDxi1AdAABIK8MwNGfOnMRru1WS1HLkzbTu8ca7bw2pP3fuXKatAAAAAEAeqKys1IIFC2QYhqa6pkqSXnv2NYUCoTHVDQVCan6mWZI01TVVhmFo4cKFqqioGHPPAAAAAAAAo5WLUF11dXVG6r5v8eLFGa0/GuFwWA8//HBGam/atEnhcDgjtQEAAAAA4wuhOgAAkHbvP6HO4kyE3na/3qBoLJqW2tFYVLsOvpio77IN2Q8AAAAAMP6tXLlSknSB6wK5bC5F+iNq/HGjYuHYedWLhWNq/HGjoqGoXDaXLnBdMGQfAAAAAACAbMtFqO6WW27JSN1s1R+NnTt36tixYxmpffToUe3cuTMjtQEAAAAA4wuhOgAAkHZer1eSZHHZZVgNneoN6IXTQbixeuHgi+ru65FhNWRx2obsBwAAAAAY/2pqauT1emXIULmnXBbDoq6OLv2/f/1/o55YFwqE9P/+9f+pq6NLFsOick+5DBny+XwZfzo7AAAAAABAKgUFBSooKEh6LFOhuhUrVmjGjBkZqT1z5kytWLEiI7XPx7PPPpvX9QEAAAAA4wOhOgAAkHaVlZVasGCBZEgWj0OS9KPfPKmu4Nh+OdAV7NZj/h2STtc1pIULF6qiomLMPQMAAAAAsueee+5RWVmZCqwFqiyuHAzW1T9Sr3defkfxWHzY6+OxuN55+R3VP1I/GKirLK5UgbVAZWVlWr16dZbuBAAAAAAAILlU0+oCgUBG9nM4HLr//vszUnvNmjVyOBwZqX0+XnrppYzWf/nllzNaHwAAAAAwPhCqAwAAGbFy5UpJktXtkOGwqjfUp+89/agGIuHzqjcQCet7Tz+qvoF+GQ6rrG7HkH0AAAAAAPnD4/Gorq5ObrdbhfZCzZkyRy6bS9FQVK88+Yp+9be/UvMzzXq36V31vterUE9Ive/16t2md9X8TLN+9be/0itPvqJoKCqXzaU5U+ao0F4ot9uturo6eTyeXN8iAAAAAACY5FKF6jI1qU5KhN8WLVqU1pqLFi3SmjVr0lpzrFpaWvK6PgAAAABgfLDlugEAADAx1dTUyOv1yu/3y1bmVOR4n14/0qaNT27WfR+7W6Xu5L9ASKYr2K3vPf2oXj/SJlkM2cqckiH5fD5VV1dn8C4AAAAAAJlSWVmpDRs2qLa2Vp2dnbp0yqV6r/89new/qXAwrLd2vaW3dr2V8nqbxaaprqm6wHWBDBkqKytTXV2dKisrs3cTAAAAAAAAKeQiVGe327Vt2zYtXbo0LRPxSkpKtG3bNtnt9jR0lz4DAwMZrR8KhTJaHwAAAAAwPjCpDgAAZMw999yjsrIyGXaLbFNdksXQ60fa9MC2b+n5pt2KxqLDXh+NRfV80249sO1bHwTqprpk2C0qKyvT6tWrs3QnAAAAAIBMqKys1ObNm+Xz+WTI0FTXVF1eerlme2ar1Fkqp80pwzAkSYZhyGlzqtRZqtme2bq89HJNdU2VIUM+n0+bN28mUAcAAAAAAMaNXITqJGn+/Pl65plnVFxcPKY6JSUlevrppzV//vw0dZY+BQUFGa3vdDozWh8AAAAAMD4wqQ4AAGSMx+NRXV2d1q9fr6CCsk8vVLQzpL6Bfv3jc4/p8V0/07XzrtZlF16i2dPK5bQ7FIqE9faJQ3rj3be06+CL6u7rkSQZDqtsZU4Zdovcbrfq6urk8XhyfIcJpmmqv79f0WhUNptNLpdr8EufAAAAAIDheTwerV27Vj6fTzt27NCBAwdUXFCs4oJzf/Fr4cKFWrlyJVPMAQAAAADAuJMq1JbpUJ0kLVu2THv27NEnP/lJvfHGG6O+ftGiRdq2bdu4DNRJUlVVlV555ZWM1gcAAAAATHyE6gAAQEZVVlZqw4YNqq2tVWdnp+zTCxULhhXvCau7r0dPN/5q2OsNqyGLxyGr2yEZUllZmerq6nI+faC9vV1+v18tLS1qa2tTMBgcPOZ2uzVnzhxVVVXJ5/OpoqIih50CAAAAQH6oqalRTU2NOjo6Bn/eam1tPevnrblz56qqqkper5eftwAAAAAAwLiVq0l175s/f77+8A//UN/61rdGfM3MmTO1Zs0arVmzRna7PYPdjU11dXVGQ3WLFy/OWG0AAAAAwPhBqA4AAGRcZWWlNm/erK1bt6q+vl7W0yG5eCiqeH9UZiQmMxKXTEmGZNgtMuxWWVw2WZw26fTQN5/Pp9WrV+d0Ql1DQ4O2b9+upqamlOcEg0Ht379f+/fv1xNPPKEFCxbotttuY3ICAAAAAIxARUWFVq1aJSkxGTwUCikSichut8vpdDIZHAAAAAAA5IVch+okadeuXUnXLRaLTNOU0+lUVVWVFi9erFtuuUUrVqyQw+HIWn/n65ZbbtEPf/jDjNYHAAAAAEx8hOoAAEBWeDwerV27Vj6fTzt27NCBAwcSoTnXuf86snDhQq1cuTKnobSenh5t2bJFfr8/sWBK8f6I4qFY6lCg0yqLy66mpiY1NTWNi1AgAAAAAOQTwzDkcrnkcrly3QoAAAAAAMCo5DpUFw6HtWfPnqTHNm7cqLVr12alj0xYsWKFZsyYoWPHjqW99syZM7VixYq01wUAAAAAjD+E6gAAQFbV1NSopqZGHR0d8vv9amlpUWtrq4LB4OA5brdbc+fOVVVVlbxeryoqKnLYsdTe3q7a2lp1dnZKphQLhhXvCcuMmWefbEpmOC4zHFe8NyLDOiDL6cl89fX1evXVV1VXV6fKysqs3wcAAAAAAAAAAAAAIDtyHap76aWX1N/fn/SY1+vNSg+Z4nA4dP/992vdunVpr71mzZq8mNYHAAAAABg7QnUAACAnKioqtGrVKkmSaZoKhUKKRCKy2+1yOp0yDCPHHSa0t7dr/fr1CgaDMiNxRTtDMsMxSVJJoUfXzrtaVRddqounzpLT7lAoEtY7Jw+r5cib2nXwRXX39Sh2akDxvqhsZU51dnZq/fr12rBhA8E6AAAAAAAAAAAAAJigUoXqAoFAVvavr69Puu52u7Vo0aKs9JBJa9as0Y9//GM1NjamreaiRYu0Zs2atNUDAAAAAIxvhOoAAEDOGYYhl8sll8uV61aG6OnpUW1trYLBoOIDMUVP9ktxU0XOQn3m+lt13byrZbOe/depmVOmqWbuVfr0tX+gFw6+qB/95kn1hvoUOd4n21SXggqqtrZWmzdvlsfjycGdAQAAAAAAAAAAAAAyKdeT6lKF6q699lrZbPn/tUG73a5t27Zp6dKlaQkqlpSUaNu2bbLb7WnoDgAAAACQDyy5bgAAAGC82rJlizo7OxMT6k4H6i6/aI423vl13bBgWdJA3ZlsVptuWLBMG+/8ui6/aI4UNxU92S8zEldnZ6e2bt2apTsBAAAAAAAAAAAAAGTTcJPqTNPM6N7RaFS7du1Keszr9WZ072yaP3++nnnmGRUXF4+pTklJiZ5++mnNnz8/TZ0BAAAAAPIBoToAAIAkGhoa5Pf7JVOKdoYGA3Xrbr1Xpe7kv/xIpdRdonW33vtBsK4zJJmJJwM2NDRk6A4AAAAAAAAAAAAAALmSKugVj8cVDAYzuve+fftS7uHz+TK6d7YtW7ZMe/bs0aJFi87r+kWLFmn37t1atmxZmjsDAAAAAIx3hOoAAACS2L59uyQpFgzLDMdU5CzUfR+7WwV2x3nVK7A7dN/H7lZhgUtmOKZYMCxJ2rFjR9p6BgAAAAAAAAAAAACMD6km1UlSd3d3Rvf2+/1J151Op2pqajK6dy7Mnz9fe/fu1caNGzVjxowRXTNz5kxt3LhRe/fuZUIdAAAAAExShOoAAAA+pL29XU1NTZIpxXsS4bfPXH/rqCfUfVipu0Sf9X5K0um6pnTgwAF1dHSMuWcAAAAAAAAAAAAAwPiRy1BdfX190vWlS5fK4Ti/B8mOd3a7XQ888IDefvttPf7447rrrrt05ZVXyuVyyTAMuVwuXXnllbrrrrv0+OOPq6OjQw888IDsdnuuWwcAAAAA5Igt1w0AAACMN+8/tS/eH5EZMzWlqFjXzbs6LbWvm3e1Ht/1M3X39Sgeisrissnv92vVqlVpqQ8AAAAAAAAAAAAAyL1chepisZh+85vfJD3m8/kytu944XA4dPvtt+v222/PdSsAAAAAgHGOSXUAAAAf0tLSIkmKh2KSpGWX18hmTc+zCGxWm649HdCL90eH7AcAAAAAAAAAAAAAmBhcLpdstuS/Z85kqO7AgQM6depU0mNerzdj+wIAAAAAkG8I1QEAAJzBNE21tbUlXkcSobqqiy5N6x6XXXjJkPqtra0yTTOtewAAAAAAAAAAAAAAcscwjJTT6jIZqquvr0+67nA4tGTJkoztCwAAAABAviFUBwAAcIb+/n4Fg0FJkhmJS5IunjorrXvMnlY+pH4wGFQoFErrHgAAAAAAAAAAAACA3EoVqgsEAhnbM1Wo7uqrr5bL5crYvgAAAAAA5Jvk8+UBAAAmqWg0+sGb08PjnHZHWvcYrHfGcLpIJMIvMAAAAAAAADDhnDp1Sg0NDXrrrbd06tQpxeNxlZSUqLy8XDU1NZo5c2auWwQAAAAyJtuT6kzTlN/vT3rM6/VmZE8AAAAAAPIVoToAAIAz2Gxn/PXIkGRKoUg4rXsM1jM+WLPb7WndAwAAAAAAAJPbH/3RH+n//t//O2StoqJC7e3tWdl/x44d2rx5s55//nmZppnyvN/5nd/RPffco7vuumvoZ3MAAADABJDtUN1rr72mkydPJj3m8/kysicAAAAAAPnKkusGAAAAxhOXyyW32y1JMuyJvyq9c/JwWvd4+8ShIfXdbrecTmda9wAAAAAAAMDk9dRTT50VqMuW9957Tx//+Me1cuVK/frXvx42UCdJ+/bt0+rVq7VkyRK1trZmqUsAAAAgO4qLi5OuZypUl2pKndVq1dKlSzOyJwAAAAAA+YpQHQAAwBkMw9CcOXMSr+1WSVLLkTfTuscb7741pP7cuXNlGMZwl0x6pmmqr69PgUBAfX195/wyFgAAAAAAwGTV3d2tL37xiznZOxAI6Oabb9bTTz991rFp06Zp0aJFWrx4sWbOnHnW8Zdfflk33nhj1ibpAQAAANmQ7Ul19fX1SdcXL14sj8eTkT0BAAAAAMhXtlw3AAAAMN5UVVVp//79sjitivdGtPv1Bn362j+QzTr2vzpFY1HtOviiJMnisg3uh7O1t7fL7/erpaVFbW1tCgaDg8fcbrfmzJmjqqoq+Xw+VVRU5LBTAAAAAACA8eMrX/mKDh8+LEkqKipSb29v1vb+2te+psbGxiFrf/AHf6C//uu/1u/8zu8MWX/ttdf07W9/W4899tjg2qFDh/Snf/qn+uUvf5mVfgEAAIBMy2aozjTNlKE6n8+X9v0AAAAAAMh3TKoDAAD4EK/XK0myuOwyrIZO9Qb0wukg3Fi9cPBFdff1yLAasjhtQ/ZDQkNDg7761a/qvvvu0xNPPKH9+/cPCdRJUjAY1P79+/XEE0/o3nvv1Ve/+lW99NJLOeoYAAAAAABgfHj++ef1T//0T5Iki8Wi2trarO19/PhxbdmyZcjaF7/4Re3cufOsQJ0kXXHFFfr3f/93ffOb3xyy/txzz2nPnj0Z7RUAAADIlmyG6tra2vTuu+8mPcbvpAEAAAAAOBuT6gAAAD6ksrJSCxYsUFNTkyweh2KnBvSj3zypKysWqNSd/JceI9EV7NZj/h2SJIvHIRnSwoULmbJ2Wk9Pj7Zs2SK/3y9JMiV1R6IKxOLqi8U1EI8rbkoWQyqwWFRotajYalGJ3aampiY1NTXJ5/Np9erV8ng8ub0ZAAAAAACALOvv79fnP/95maYpSbrvvvtUU1OTtf3/8z//U7FYbPD9tGnT9Hd/93fnvO5//+//rf/4j//Qa6+9Nrj21FNPaenSpRnpEwAAAMimbIbqUk2pMwxD1113Xdr3AwAAAAAg3zGpDgAAIImVK1dKkqxuhwyHVb2hPn3v6Uc1EAmfV72BSFjfe/pR9Q30y3BYZXU7huwz2bW3t+vee++V3++XKelYOKKmYL/e6g/rvXBU/bFEoE6S4qbUH4vrvXBUb/WH1RTs17FwRKYSvyi699571d7ensO7AQAAAAAAyL6/+qu/UltbmyRp9uzZevDBB7O6/+uvvz7k/e/93u+psLDwnNdZLBbdeuutQ9ZaW1vT2hsAAACQK9kM1b3/8NIPu+qqqzRlypS07wcAAAAAQL5jUh0AAEASNTU18nq98vv9spU5FTnep9ePtGnjk5t138fuHtXEuq5gt7739KN6/UibZDFkK3NKhuTz+VRdXZ3Bu8gP7e3tWr9+vYLBoELxuDr6w+qLxSVJDk+xZtQsUcmlc1R0UbmsBQWKDQyo98ghdb/ZpmMNexXuCehIKKJTkZgqXA51dnZq/fr12rBhgyorK3N7cwAAAAAAAFnQ0NCg7373u4Pvv//978vtdme1h87OziHvL7744hFfO3v27CHvT506lY6WAAAAgJxLFaoLBAJp3yvVpDqv15v2vQAAAAAAmAgI1QEAAKRwzz336MCBA+rs7JRtqkvRk/16/UibHtj2LX3W+yldN+9q2ayp/zoVjUX1wsEX9Zh/h/oG+hOBuqkuGXaLysrKtHr16izezfjU09Oj2tpaBYNB9cbiausLKWZKtsJCzf3k7ZpRs0QW29n/jgunTde0Kxfp0t+/Vcca9qr1p0+or69PLb0hzSl0SsGgamtrtXnzZnk8nhzcGQAAAAAAQHZEIhHdfffdisVikqTbb79dn/jEJ7Lex4e/LNzf3z/iaz987tSpU9PSEwAAAJBrw02qM01ThmGkZZ+Ojg51dHQkPebz+dKyBwAAAAAAEw2hOgAAgBQ8Ho/q6uoSU9QUlH16oaKdIfUN9Osfn3tMj+/6ma6dd7Uuu/ASzZ5WLqfdoVAkrLdPHNIb776lXQdfVHdfjyTJcFhlK3PKsFvkdrtVV1dH2EvSli1b1NnZqVD8g0BdyaVzteCu1SoomXLO6y02my5cep3K5i9U0w+3qvvNVrX1hVRV5FRnZ6e2bt2qtWvXZv5GAAAAAAAAcmTDhg169dVXJUlTpkzRI488kpM+rrrqqiHvGxoaRnztiy++OOT91VdfnY6WAAAAgJxLFaqLRqPq7+9XYWFhWvbx+/0pj11//fVp2QMAAAAAgImGUB0AAMAwKisrtWHDBtXW1qqzs1P26YWKBcOK94TV3dejpxt/Nez1htWQxeOQ1e2QDKmsrEx1dXWqrKzMzg2MYw0NDfL7/TIldfSHBwN1V/75l2R1FIyqVkHJFF3551/S/u9/V91vtqqjP6yqIqfq6+vl8/lUU1OTmZsAAAAAAADIoebmZn37298efL9x40bNnDkzJ7184hOfUFFRkXp7eyVJu3bt0p49e7R06dJhr2ttbdX27dsH3zudTn3mM5/JaK8AAABAthQXF6c81t3dnbZQXX19fdL1BQsWMAkaAAAAAIAULLluAAAAYLyrrKzU5s2b5fP5JEOyehyyX+iWbapLliK7DIdFMk6fbEiGwyJLkV22qS7ZL3TL6kkE6nw+nzZv3kyg7rT3vyx1PBxRXywuW2GhFty1etSBuvdZHQVacNdq2Vwu9cXiOhGOSJJ27NiRtp4BAAAAAADGi3g8rrvvvlvhcFhSYvrEF77whZz1M2XKFH3ta18bsrZy5cphJ9a99tpr+tjHPjZ4D5L04IMPavr06RnrEwAAAMimVJPqpESoLl1Shep8Pl/a9gAAAAAAYKJhUh0AAMAIeDwerV27Vj6fTzt27NCBAwdkcdlkcZ37r1MLFy7UypUrVV1dnYVO80N7e7uamppkSjoRjkqS5n7ydhWUTBlT3YKSKZp76x06+KN/1fFwVNMcdh04cEAdHR2qqKgYe+MAAAAAAADjxCOPPKK9e/dKkhwOh37wgx/IMIxzXJVZX/3qV9XU1KQf/ehHkqR3331XS5cu1cc//nHdfPPNqqiokGEYOnz4sP77v/9bO3bsUCQSGXL9l7/85Vy1DwAAAKRdNkJ1R44cUWtra9JjXq83LXsAAAAAADAREaoDAAAYhZqaGtXU1Kijo0N+v18tLS1qbW1VMBgcPMftdmvu3LmqqqqS1+slzJWE3++XJHVHoorETTmKizWjZklaas+oWaI3n3pS4Z6AuiMxTbFb5ff7tWrVqrTUBwAAAAAAyLW33npLX//61wffr1+/XvPmzcthRwkWi0X//u//rmXLlqmurk4nTpxQLBbTz372M/3sZz9Led21116ruro6ffSjH017T8ePH9eJEydGdU2qLyQDAAAAo+V2u2WxWBSPx886lq5Q3fu/e02GUB0AAAAAAKkRqgMAADgPFRUVgyEt0zQVCoUUiURkt9vldDpz/lTw8a6lpUWSFIglfnk0o3qJLLb0/NXUYrNpRs0SvfPfv1QglgjVvb8fAAAAAADARPCnf/qn6u3tlSTNmzdPX/va13Lc0QcMw9Cf//mfa8WKFfriF7+o//zP/xz2/GuvvVZf/vKXdeONN2akn3/4h39QXV1dRmoDAAAA52IYhoqLi3Xq1KmzjmU6VHfZZZfpwgsvTMseAAAAAABMRJZcNwAAAJDvDMOQy+VScXGxXC4XgbpzME1TbW1tkqS+06G6kkvnpHWPkksulST1n67f2toq0zTTugcAAAAAAEAuPProo/qv//ovSYnPpX7wgx/I4XDkuKsP9Pb26v7771dVVdU5A3WStGvXLn3qU5/SggULtHfv3ix0CAAAAGRXSUlJ0vV0herq6+uTrvt8vrTUBwAAAABgoiJUBwAAgKzq7+9XMBiUJA3EE6G3oovK07pH0ayLJUmh0/WDwaBCoVBa9wAAAAAAAMi2d999V2vXrh18//nPf17XX399Djsa6siRI6qurtamTZvU398vSbr88sv1D//wDzp48KCCwaD6+vrU1tamf/mXf9HixYsHrz148KCuv/56/fSnP81R9wAAAEBmpArVBQKBMdc+ceKEmpubkx4jVAcAAAAAwPBsuW4AAAAAk0s0Gh18HT89PM5aUJDWPd6vFz9jOF0kEpHL5UrrPgAAAAAAANn053/+5zp16pQkaebMmXrooYdy29AZQqGQbr75Zh08eHBw7fOf/7y+//3vnzVJ79JLL9Wll16q//W//pf+6q/+St/+9rclJT43+qM/+iM1NjbqiiuuSEtff/Znf6bbb799VNe0trbqk5/8ZFr2BwAAADI5qe43v/lNymNer3fM9QEAAAAAmMgI1QEAACCrbLYP/gpqMRLBt9jAQFr3eL+exfhgzW63p3UPAAAAAACAbHriiSf05JNPDr7/+7//e02ZMiV3DX3Ixo0b1dTUNPj+d3/3d7V161ZZLJaU1xiGoQcffFBvv/22tm3bJikRzvvyl7+sp59+Oi19TZ8+XdOnT09LLQAAAOB8ZDJUV19fn3S9srJSs2fPHnN9AAAAAAAmstS/xQIAAAAywOVyye12S5IKTn+pqvfIobTu0Xv4HUmS83R9t9stp9OZ1j0AAAAAAACy6Stf+crg649//OO64447ctjNULFYTJs3bx6y9uCDDw4bqDvTt7/97SHnPvvss3rnnXfS2iMAAACQK8XFxUnX0xGq8/v9Sdd9Pt+YawMAAAAAMNERqgMAAEBWGYahOXPmSJIKrYm/jna/2ZbWPbrfelOS5Dpdf+7cuTIMY7hLAAAAAAAAxrVTp04Nvv75z38uwzDO+c+NN944pEZHR8dZ5/z2t78dc2+vvPKKTp48Ofh+6tSpWrJkyYivv/jii3XllVcOvjdNUy+88MKY+wIAAADGg0xNquvq6tL+/fuTHvN6vWOqDQAAAADAZECoDgAAAFlXVVUlSSo+HXo79tJexaPRtNSOR6M61rD3dH3rkP0AAAAAAACQfm+99daQ95WVlaN+wNEll1wy5P3hw4fH3BcAAAAwHmQqVPfCCy/INM2kx5hUBwAAAADAuRGqAwAAQNa9/2TEErtNdouhcCAwGIQbq2MNexXuCchuMVRitw7ZDwAAAAAAAOk3MDAw5L3NZht1DbvdPuR9LBYbU08AAADAeJGpUJ3f70+6ftFFF+nSSy8dU20AAAAAACaD0f9GCwAAABijyspKLViwQE1NTZrmsOlIKKLWnz6hsvkLVVAy5bzrDnSfUuuTj0uSpjtsMiQtXLhQFRUV6WkcAAAAAAAgR3bu3KlIJDKqa/bv36+1a9cOvp8xY4b+/d//fcg5c+fOHXNvF1xwwZD3R44cGXWND0+mmzZt2ph6AgAAAMaLTIXq6uvrk677fL5RT44GAAAAAGAyIlQHAACAnFi5cqWampo03WHXqUhMfX19avrhVl3551+S1VEw6nqx8ICafrhV0f5+FVotmuawD+4DAAAAAACQ73w+36iv+fDEOKfTqf/5P/9nuloaVFlZOeT922+/rba2Ns2ZM2dE1/f09KihoWHI2kivBQAAAMa7TITqenp61NjYmPTY+fzsAAAAAADAZGTJdQMAAACYnGpqauT1emVIqnA5ZDWk7jdbtf/739VA96lR1RroPqX93/+uut9sldVI1DOU+IVRdXV1JtoHAAAAAADAaVVVVSovLx+y9nd/93cjvv7hhx/WwMDA4PvCwkItWbIkbf0BAAAAuZQqVBcIBM675u7duxWLxZIe83q9510XAAAAAIDJhFAdAAAAcuaee+5RWVmZnBaL5hQ6B4N1L377G3p3zwuKR6PDXh+PRvXunhf04re/MRiom1PolNNiUVlZmVavXp2lOwEAAAAAAJhYDMMY8s/zzz8/7Pl33nnnkPdbt27Vv/3bv51zn6eeekoPPvjgkLU//MM/VEFBwah7BgAAAMajVKG6gYGBIQ+XGI36+vqk69OmTdO8efPOqyYAAAAAAJMNoToAAADkjMfjUV1dndxut4qsFlUVOVVotSja36+DP/pX7fnGOrU++YRO/PZl9Z04roFAt/pOHNeJ376s1ief0J5vrNPBH/2rov39Kjx9fZHVIrfbrbq6Onk8nlzfIgAAAAAAwKTwwAMPqKysbPC9aZr64z/+Y/3Jn/yJmpqazjq/tbVV9913nz75yU8qesaDlQoLC/WNb3wjKz0DAAAA2VBcXJzyWHd393nV9Pv9Sde9Xq8MwzivmgAAAAAATDa2XDcAAACAya2yslIbNmxQbW2tOjs7VVXk1IlwRMfDUYV7Anrnv3+pd4a53m4xNN1h0zSHXYaksrIy1dXVqbKyMkt3AAAAAAAAgNLSUj355JO6+eabh0zb+Jd/+Rf9y7/8i6ZPn67y8nIZhqEjR47o3XffPauGxWLRj370I1VUVGSzdQAAACCjUk2qkxKhuunTp4+qXl9fn1588cWkx3w+36hqAQAAAAAwmTGpDgAAADlXWVmpzZs3y+fzyZA03WHXArdLl7gKdIHDpkKrRZbTD1S0GFKh1aILHDZd4irQArdL008H6nw+nzZv3kygDgAAAAAAIAe8Xq/+67/+K2ko7vjx42psbNTLL7+cNFA3Y8YMPfXUU1qxYkU2WgUAAACy5lyhutHau3evIpFI0mOE6gAAAAAAGDkm1QEAAGBc8Hg8Wrt2rXw+n3bs2KEDBw5oit2qKXbrOa9duHChVq5cqerq6ix0CgAAAAAAgFSuu+46vfrqq3r00Ue1detWHTx4cNjzKysr9fnPf1733HOPLrjggix1CQAAAGSPx+NJeex8QnV+vz/pemlpqRYuXDjqegAAAAAATFaE6gAAADCu1NTUqKamRh0dHfL7/WppaVFra6uCweDgOW63W3PnzlVVVZW8Xm/Sp58DAAAAAABMdjfccINM0zyva8/3OinxpeEvfelL+tKXvqSjR4+qoaFBR44c0alTp2SapkpKSjRjxgxVV1dr9uzZ570PAAAAkA+sVqs8Ho96enrOOnY+obr6+vqk69dff70sFsuo6wEAAAAAMFkRqgMAAMC4VFFRoVWrVklKfIkrFAopEonIbrfL6XTKMIwcdwgAAAAAAIBzmTlzpn7/938/120AAAAAOVVSUpKWUN3AwID27t2b9JjP5zuv3gAAAAAAmKx4NA0AAADGPcMw5HK5VFxcLJfLRaAOAAAAAAAAAAAAQN4oKSlJuh4IBEZVp6GhQaFQKOkxr9c76r4AAAAAAJjMCNUBAAAAAAAAAAAAAAAAAJAhqUJ1o51UV19fn3Td4/HoqquuGm1bAAAAAABMaoTqAAAAAAAAAAAAAAAAAADIkHSF6vx+f9L1a6+9VjabbdR9AQAAAAAwmRGqAwAAAAAAAAAAAAAAAAAgQ4qLi5OujyZUF4lEtGvXrqTHfD7fefUFAAAAAMBkRqgOAAAAAAAAAAAAAAAAAIAMScekun379qm3tzfpMUJ1AAAAAACMHqE6AAAAAAAAAAAAAAAAAAAyJB2huvr6+qTrLpdLixcvPq++AAAAAACYzAjVAQAAAAAAAAAAAAAAAACQIZkM1S1btkwOh+O8+gIAAAAAYDIjVAcAAAAAAAAAAAAAAAAAQIaMNVQXi8X0wgsvJD3m9XrPuy8AAAAAACYzQnUAAAAAAAAAAAAAAAAAAGTIWEN1r7zySspzfT7fefcFAAAAAMBkRqgOAAAAAAAAAAAAAAAAAIAMSRWqCwQCI7q+vr4+6brD4dA111xz3n0BAAAAADCZEaoDAAAAAAAAAAAAAAAAACBDUoXq+vr6FIlEznm93+9Pun7NNdfI6XSOqTcAAAAAACYrQnUAAAAAAAAAAAAAAAAAAGRIqlCddO5pdfF4PGWozufzjakvAAAAAAAmM0J1AAAAAAAAAAAAAAAAAABkSHFxccpj3d3dw1772muv6b333kt6jFAdAAAAAADnj1AdAAAAAAAAAAAAAAAAAAAZMtykunOF6urr65Ou22w2LV26dEx9AQAAAAAwmRGqAwAAAAAAAAAAAAAAAAAgQ8YyqS5VqK66ulpFRUVj6gsAAAAAgMmMUB0AAAAAAAAAAAAAAAAAABlit9tVWFiY9NhwoTrTNOX3+5Me83q9aekNAAAAAIDJilAdAAAAAAAAAAAAAAAAAAAZVFJSknR9uFDdG2+8oaNHjyY95vP50tIXAAAAAACTFaE6AAAAAAAAAAAAAAAAAAAy6HxCdamm1FksFl177bVp6QsAAAAAgMmKUB0AAAAAAAAAAAAAAAAAABmUKlQXCARSXlNfX590/aqrrkpZDwAAAAAAjAyhOgAAAAAAAAAAAAAAAAAAMmi0k+pM00wZqvP5fGnrCwAAAACAyYpQHQAAAAAAAAAAAAAAAAAAGTTaUF1HR4feeeedpMe8Xm/a+gIAAAAAYLIiVAcAAAAAAAAAAAAAAAAAQAYVFxcnXU8Vqks1pU6Srr/++rT0BAAAAADAZEaoDgAAAAAAAAAAAAAAAACADBrtpLpUobqPfOQjuuCCC9LWFwAAAAAAkxWhOgAAAAAAAAAAAAAAAAAAMmi0oTq/35903ev1pq0nAAAAAAAmM0J1AAAAAAAAAAAAAAAAAABk0GhCdYcPH1ZbW1vS830+X1r7AgAAAABgsiJUBwAAAAAAAAAAAAAAAABABo0mVJdqSp3EpDoAAAAAANKFUB0AAAAAAAAAAAAAAAAAABk0mlBdfX190nMvv/xyzZgxI619AQAAAAAwWRGqAwAAAAAAAAAAAAAAAAAgg1KF6oLBoGKx2JC1VKE6n8+X9r4AAAAAAJisCNUBAAAAAAAAAAAAAAAAAJBBqUJ1ktTT0zP4+vjx4zp48GDS87xeb9r7AgAAAABgsiJUBwAAAAAAAAAAAAAAAABABg0Xquvu7h587ff7U57HpDoAAAAAANKHUB0AAAAAAAAAAAAAAAAAABlUXFyc8thIQnWXXnqpysvL094XAAAAAACTFaE6AAAAAAAAAAAAAAAAAAAyaKST6urr65Oe4/V6094TAAAAAACTGaE6AAAAAAAAAAAAAAAAAAAyqKCgQAUFBUmPvR+q6+zs1Kuvvpr0HJ/Pl7HeAAAAAACYjAjVAQAAAAAAAAAAAAAAAACQYamm1b0fqnvhhRdkmmbSc5hUBwAAAABAehGqAwAAAAAAAAAAAAAAAAAgw84Vqquvr096vLy8XJdccknG+gIAAAAAYDIiVAcAAAAAAAAAAAAAAAAAQIadb6jO5/PJMIyM9QUAAAAAwGREqA4AAAAAAAAAAAAAAAAAgAxLFaoLBAIKBALat29f0uNerzeTbQEAAAAAMCkRqgMAAAAAAAAAAAAAAAAAIMOGm1S3a9cuxePxpMd9Pl8m2wIAAAAAYFIiVAcAAAAAAAAAAAAAAAAAQIYVFxcnXe/u7pbf7096bMaMGaqqqspkWwAAAAAATEqE6gAAAAAAAAAAAAAAAAAAyLDhJtXV19cnPeb1emUYRibbAgAAAABgUrLlugEAAAAAAAAAAAAAAAAAACa6VKG6d999V6+88krSYz6fL5MtAQAAAAAwaRGqAwAAAAAAAAAAAAAAAAAgw1KF6vbt2yfTNJMe83q9mWwJAAAAAIBJy5LrBgAAAAAAAAAAAAAAAAAAmOhShepSBerKysq0YMGCTLYEAAAAAMCkRagOAAAAAAAAAAAAAAAAAIAMSxWqS8Xr9cpi4St+AAAAAABkAj9xAwAAAAAAAAAAAAAAAACQYecTqgMAAAAAAJlBqA4AAAAAAAAAAAAAAAAAgAwbbajO5/NlqBMAAAAAAECoDgAAAAAAAAAAAAAAAACADBtNqK64uFhXXnllBrsBAAAAAGBys+W6AQAAAAAAAAC5Z5qm+vv7FY1GZbPZ5HK5ZBhGrtsCAAAAAAAAJozi4uIRn3vdddfJarVmsBsAAAAAACa3vAjVtbW16cUXX9ShQ4cUDodVWlqqefPmadmyZXI6nTnryzRNNTY26re//a2OHz8uSZoxY4auvPJKLVq0iC8dAQAAAAAAYFxrb2+X3+9XS0uL2traFAwGB4+53W7NmTNHVVVV8vl8qqioyGGnAAAAAAAAQP4bzaQ6n8+XwU4AAAAAAMC4DtX99Kc/1be+9S01NjYmPe52u/W5z31OtbW1mjp1atb6ikQi+vu//3t997vf1eHDh5OeU15eri996Uv6i7/4C9nt9qz1BgAAAAAAAJxLQ0ODtm/frqamppTnBINB7d+/X/v379cTTzyhBQsW6LbbblN1dXUWOwUAAAAAAAAmDpfLJZvNpmg0es5zvV5vFjoCAAAAAGDyGpehuoGBAd1999167LHHhj0vGAxq8+bN+vGPf6yf/OQnWfkg4Z133tGKFSu0b9++Yc87dOiQ1q5dq//4j//Qzp07NWvWrIz3BgAAAAAAAAynp6dHW7Zskd/vlySZpqlAOKBgJKj+aL8GYgMyTVOGYajAWiCXzSW33a1iR7GamprU1NQkn8+n1atXy+Px5PhuAAAAAAAAgPwSiUTkdDoVDAaHPa+wsFCLFy/OUlcAAAAAAExOllw38GHxeFyf/vSnzwrUWa1WXXLJJbrqqqtUUlIy5NiJEye0fPly7dmzJ6O9HT9+XDfeeONZgTqXy6UFCxboiiuukNPpHHLs5Zdf1o033qiTJ09mtDcAAAAAAABgOO3t7br33nvl9/tlytTJ/pN6vet1vdPzjrpCXQpFQzJNU1IibBeKhtQV6tI7Pe/o9a7XdbL/pEyZqq+v17333qv29vbc3hAAAAAAAACQJyKRiB566CHNnj37nIE6SYpGo9q0aZMikUgWugMAAAAAYHIad6G6v/3bv9XOnTuHrN1zzz16++239eabb2rfvn3q7OzUjh07NHv27MFz+vr6dMcdd6i7uztjvX3uc59TW1vb4Hun06nvfve7OnnypA4cOKDm5madPHlSDz/88JBw3RtvvKG77rorY30BAAAAAAAAw2lvb9f69evV2dmpgdiA3jz1po72HlU0HpXD7dAl116ixZ9ZrBvW3KCPrvuoblhzgxZ/ZrEuufYSOdwOReNRHe09qjdPvamB2IA6Ozu1fv16gnUAAAAAAADAOTQ3N2vJkiVat26djh07NqJrwuGw1q1bpyVLlqi5uTnDHQIAAAAAMDmNq1Dde++9p29/+9tD1jZs2KD/83/+jy666KLBNYvFoltvvVW7d+9WZWXl4PqhQ4f08MMPZ6S3X/7yl3rmmWcG39vtdv3iF7/QX/7lX6qwsHBwvaioSGvWrNGzzz4ru90+uP7UU0/p17/+dUZ6AwAAAAAAAFLp6elRbW2tgsGg+iJ9ajvVpv5ov+wuu/7Hrf9DH/3KRzV/+XzNnD9TRRcUyelxquiCIs2cP1Pzl8/XR7/yUf2PW/+H7C67+qP9ajvVpr5In4LBoGpra9XT05PrWwQAAAAAAADGpd27d2vp0qVqbGw8r+sbGxu1dOlS7d69O82dAQAAAACAcRWqe+ihh4Z8Ccfr9WrdunUpz581a5b+6Z/+acjapk2b9N5776W9t7/6q78a8v6rX/2qvF5vyvN9Pt9ZvX/9619Pe18AAAAAAADAcLZs2TI4oa490K64GVdpRam893l18eKLZbEO/xGhxWrRxYsvlvc+r0orShU342oPtA9OrNu6dWuW7gQAAAAAAADIH83NzVq+fLkCgcCY6gQCAS1fvpyJdQAAAAAApNm4CdXF43H98z//85C1v/7rv5ZhGMNe99GPflTXX3/94Puenh49/vjjae3t1Vdf1Ysvvjj4vqioSF/5ylfOed0DDzygoqKiwfe7d+/Wa6+9ltbeAAAAAAAAgFQaGhrk9/tlmqYO9RwaDNRd88fXyFnsHFUtZ7FT1/zxNYPBukM9h2TKVH19vRoaGjJ0BwAAAAAAAED+iUQiuvPOO8ccqHtfIBDQqlWrFIlE0lIPAAAAAACMo1Dd7t27deLEicH3l156qW644YYRXXv33XcPef/Tn/40jZ1JO3fuHPL+jjvukMfjOed1Ho9Ht99++5C1dPcGAAAAAAAApLJ9+3ZJ0nuh99Qf7ZfdZdeiTy+S1WE9r3pWh1WLPr1INqdN/dF+vdf/niRpx44daesZAAAAAAAAyHebNm3Svn370lqzsbFRmzZtSmtNAAAAAAAms3ETqvv5z38+5P1NN910zil1Z557pueff169vb0Z6+3mm28e8bUf7u0///M/09ITAAAAAAAAMJz29nY1NTXJNE2d7D8pSbrilitGPaHuw5zFTs1fPl+SdLL/pEzT1IEDB9TR0THmngEAAAAAAIB8Fw6H9fDDD2ek9qZNmxQOhzNSGwAAAACAyWbchOp++9vfDnm/bNmyEV970UUXqbKycvB9OBxWc3NzWvoyTVOvvPLKefd27bXXDnm/f/9+maaZlt4AAAAAAACAVPx+vyQpEA4oGo+qwF2gWVfNSkvtWVfNksPtUDQeVU+4Z8h+AAAAAAAAwGS2c+dOHTt2LCO1jx49qp07d2akNgAAAID/v737jrKquhcH/p0ZBhg6goBIk44mQEB4KrGQKCIoavxZY4KxxJLkqYmimBhjYiJIXlSeMc+WRDGaJ8YeKwokNlBRiIAgvYgSqrSh3t8fLu7zzlBmhjtzL3M/n7VcK3vP2ft8J2vP5ux9zvccINdkTVLdzJkzU8qHHnpoudqXPL5kfxW1cOHC2LhxY7Jct27daNOmTZnbt23bNurUqZMsb9iwIRYvXpyW2AAAAABgd2bPnh0REeu3ro+IiJY9WkZ+QXq2A/ML8uPgHl8k6K3bui7lfAAAAACQy1588cX9un8AAADIFVmRVLdp06ZYtGhRSl3r1q3L1UfJ42fNmrXPce2qn/LGtas26YoNAAAAAHYlkUjE3LlzIyJi07ZNERFxQNsD0nqOxm0ap/Q/Z86cSCQSaT0HAAAAAOxv3n333Urt/7333qvU/gEAACBXZEVS3YoVK1IeuCksLIxmzZqVq4+DDz44pbx8+fK0xFayn1atWpW7j8qKDQAAAAB2ZdOmTbF+/RdfqNu8fXNERNRvXj+t52jQokFK/+vXr4/i4uK0ngMAAAAA9jezZ8/er/sHAACAXFEj0wFERPIBn53q1KkTeXl55eqjbt26e+yzokr2U/I8ZVFZsS1fvjz+/e9/l6vNnDlz0nJuAAAAALLXtm3bkv9758usCmoWpPUcO/v78suytm7dGkVFRWk9DwAAAADsTzZv3lyp/XuxFQAAAKRHVibV1a5du9x9lHxYp7KS6rIptrvvvjtuvvnmtPQFAAAAQPVRo8b/bfvl5eVFIpGI7Vu2p/UcO/v78suxCgsL03oOAAAAANjf1KpVq1IT3yry/BoAAABQWn6mA4go/facmjVrlruPWrVqpZQ3bdq0TzHtlM2xAQAAAMCuFBUVRb169SIiolbBF3tT6z5bl9ZzfP7p5yn916tXzwM9AAAAAOS8zp0779f9AwAAQK7IiqS6kg/bbNmypdx9bN68eY99VlQ2xwYAAAAAu5KXlxcdOnSIiIiiGkUREbFq4aq0nmP1otUp/Xfs2DHlq3UAAAAAkIsOP/zwSu2/d+/eldo/AAAA5IoamQ4gIpJvzd6p5NfhyqLk199K9llR2RzbFVdcEWeeeWa52syZMydOO+20tJwfAAAAgOzVuXPnmDp1atQrrBeri1fHJ1M/ia4DukZ+wb6/Z2vH9h2xdOrSiIioX1g/eT4AAAAAyHUDBw6MP/7xj5XaPwAAALDvsjKpbuPGjZFIJMr1ZusNGzbssc90xVbyPGVRWbE1a9YsmjVrlpa+AAAAAKhejjnmmBg7dmw0qNkgauTXiM3rN8fSD5ZG696t97nvpR8sjS3rt0SN/BpRv2b95PkAAAAAINedeuqp0bx58/jss8/S3neLFi3i1FNPTXu/AAAAkIv2/bXUadC0adOUBLqtW7fG8uXLy9XH0qVLU8rpSjYr2c+SJUvK3UdlxQYAAAAAu9OuXbs47LDDIi8vL5oWNY2IiJkvzoziz4v3qd/iz4tjxgszIiKiadEX+3pf+cpXom3btvscMwAAAADs72rWrBk//vGPK6Xvq6++OmrWrFkpfQMAAECuyYqkuqKiomjTpk1K3aJFi8rVR8nju3btus9xRUR06dIlpbx48eJy91GyTbpiAwAAAIA9OeOMMyIioklRkyiqURRbN22NKf87JbZv2V6h/rZv2R5T/ndKbCveFkU1iqJJUZOU8wAAAAAAXyS/9erVK6199urVK66++uq09gkAAAC5LCuS6iJKJ5rNmDGjXO1nzpy5x/4qqm3btlFUVJQsb9iwIRYuXFjm9gsXLoyNGzcmy3Xr1o3WrVunJTYAAAAA2JM+ffrEMcccE3mRF63qt4r8vPxYvXB1THpwUrm/WFf8eXFMenBSrF64OvLz8qNV/VaRF3lx7LHHxuGHH15JvwEAAAAA7H8KCwtjzJgx0aBBg7T017BhwxgzZkwUFhampT8AAAAgi5LqevbsmVJ+8803y9x22bJlsWDBgmS5sLAwDj300LTElZeXF927d69wbG+88UZKuXv37pGXl5eW2AAAAABgby677LI44IADolZBrWjXoF0ysW7i6Imx+L3FsWP7jj2237F9Ryx+b3FMHD0xmVDXrkG7qFVQKw444IC49NJLq+g3AQAAAID9x6GHHhovvPDCPifWNWzYMJ5//vm0PQ8HAAAAfCFrkupOPvnklPK4ceMikUiUqe3LL7+cUu7fv3/Uq1ev0mJ75ZVXyty25LGnnHJKWmICAAAAgLKoX79+3HzzzVGvXr2oU1gnOjTqEEU1imJb8baY9uS0eHXUqzHjhRmxbPqy2LByQxSvK44NKzfEsunLYsYLM+LVUa/GtCenxbbibVFUoyg6NOoQdQrrRL169eLmm2+O+vXrZ/pXBAAAAICsdNRRR8Vbb70VvXr1qlD7Xr16xZtvvhlHHXVUmiMDAAAAsiap7qijjoqmTZsmy/PmzYsJEyaUqe0DDzyQUj711FPTGVoMGTIkpTx27NhYv379XtutW7cuxo4dW6mxAQAAAMDetGvXLm699dbkF+vaN2ofLeq2iBr5NWLL+i0x/435MeXRKTHh9gnx6shXY8LtE2LKo1Ni/hvzY8v6LVEjv0a0qNsi2jdqn/xC3a233hrt2rXL9K8GAAAAAFnt0EMPjbfffjtGjhwZzZs3L1ObFi1axMiRI+Ptt9/2hToAAACoJFmTVJefnx8XXHBBSt3NN9+816/Vvfrqq/HPf/4zWa5fv36cddZZaY2te/fu0adPn2R5/fr1cdttt+213W233RYbNmxIlo844gibHAAAAABkRLt27eKuu+6KY489NvIiL5oWNY0ujbtEm/ptonHtxlG7Ru3Iy8uLiIi8vLyoXaN2NK7dONrUbxNdGneJpkVNIy/y4thjj4277rpLQh0AAAAAlFFhYWEMGzYsFi1aFI899lhceOGF0aNHjygqKoq8vLwoKiqKHj16xIUXXhiPPfZYLFy4MIYNGxaFhYWZDh0AAACqrRqZDuDLrrvuuvif//mf5FfgJk6cGCNHjozrr79+l8cvXbo0Lr744pS6K6+8MuWLd7uy8+GgncaPHx/HHXfcHtv88pe/jJNOOilZHjFiRBx//PFxzDHH7PL4nbF/2S233LLHcwAAAABAZapfv35cc801ceyxx8YTTzwRH374YTSo1SAa1Gqw17Zf+cpX4owzzojDDz+8CiIFAAAAgOqnZs2aceaZZ8aZZ56Z6VAAAAAg52XNl+oiIpo2bRo33HBDSt3w4cPjiiuuiE8++SRZt2PHjnjqqafiqKOOigULFiTrW7ZsGT/5yU8qJbaBAwfGgAEDkuWtW7fGiSeeGHfeeWds3LgxWb9hw4a44447YuDAgbF169Zk/aBBg+Kb3/xmpcQGAAAAAOXRp0+fuPXWW+Ouu+6Ks846K3r27Bn16tVLOaZevXrRs2fPOOuss+Kuu+6KW2+9VUIdAAAAAAAAAADVQlZ9qS7ii6/Vvfnmm/Hcc88l6/7whz/EvffeG23bto2GDRvG/PnzY82aNSntioqK4rHHHotGjRpVWmwPPfRQHHnkkTF//vyIiCguLo6rrroqhg8fHu3bt49EIhHz5s2L4uLilHYdOnSIP//5z5UWFwAAAABURNu2beM73/lOREQkEokoLi6OrVu3RmFhYdSuXTvy8vIyHCEAAAAAAAAAAKRfVn2pLiIiPz8/xo4dG+ecc05K/fbt22PevHnx/vvvl0qoa9KkSTz//PPRr1+/So2tefPmMX78+OjRo0dK/aZNm2L69OkxY8aMUgl1PXv2jPHjx8eBBx5YqbEBAAAAwL7Iy8uLoqKiaNCgQRQVFUmoAwAAAAAAAACg2sq6pLqIiNq1a8ejjz4ajz/+ePTs2XO3x9WtWzeuuOKKmDFjRhx33HFVElvbtm1j8uTJMXLkyGjZsuVuj2vZsmXcdtttMWnSpGjdunWVxAYAAAAAAAAAAAAAAADAntXIdAB7csYZZ8QZZ5wRc+bMiUmTJsXSpUtjy5Yt0ahRo+jWrVv069cvateuXe5+E4nEPsVVs2bNGDZsWFxzzTXx3nvvxdSpU2P58uUREdGsWbPo2bNn9OrVK/LzszJnEQAAAAAAAAAAAAAAACBnZXVS3U4dO3aMjh07ZjqMUvLz86NPnz7Rp0+fTIcCAAAAAAAAAAAAAAAAQBn4lBoAAAAAAAAAAAAAAAAAOUNSHQAAAAAAAAAAAAAAAAA5Q1IdAAAAAAAAAAAAAAAAADlDUh0AAAAAAAAAAAAAAAAAOUNSHQAAAAAAAAAAAAAAAAA5Q1IdAAAAAAAAAAAAAAAAADlDUh0AAAAAAAAAAAAAAAAAOUNSHQAAAAAAAAAAAAAAAAA5Q1IdAAAAAAAAAAAAAAAAADlDUh0AAAAAAAAAAAAAAAAAOUNSHQAAAAAAAAAAAAAAAAA5Q1IdAAAAAAAAAAAAAAAAADlDUh0AAAAAAAAAAAAAAAAAOUNSHQAAAAAAAAAAAAAAAAA5Q1IdAAAAAAAAAAAAAAAAADlDUh0AAAAAAAAAAAAAAAAAOUNSHQAAAAAAAAAAAAAAAAA5Q1IdAAAAAAAAAAAAAAAAADlDUh0AAAAAAAAAAAAAAAAAOUNSHQAAAAAAAAAAAAAAAAA5Q1IdAAAAAAAAAAAAAAAAADlDUh0AAAAAAAAAAAAAAAAAOUNSHQAAAAAAAAAAAAAAAAA5Q1IdAAAAAAAAAAAAAAAAADlDUh0AAAAAAAAAAAAAAAAAOUNSHQAAAAAAAAAAAAAAAAA5Q1IdAAAAAAAAAAAAAAAAADlDUh0AAAAAAAAAAAAAAAAAOUNSHQAAAAAAAAAAAAAAAAA5Q1IdAAAAAAAAAAAAAAAAADlDUh0AAAAAAAAAAAAAAAAAOUNSHQAAAAAAAAAAAAAAAAA5Q1IdAAAAAAAAAAAAAAAAADlDUh0AAAAAAAAAAAAAAAAAOUNSHQAAAAAAAAAAAAAAAAA5Q1IdAAAAAAAAAAAAAAAAADlDUh0AAAAAAAAAAAAAAAAAOUNSHQAAAAAAAAAAAAAAAAA5Q1IdAAAAAAAAAAAAAAAAADlDUh0AAAAAAAAAAAAAAAAAOUNSHQAAAAAAAAAAAAAAAAA5Q1IdAAAAAAAAAAAAAAAAADlDUh0AAAAAAAAAAAAAAAAAOUNSHQAAAAAAAAAAAAAAAAA5Q1IdAAAAAAAAAAAAAAAAADlDUh0AAAAAAAAAAAAAAAAAOUNSHQAAAAAAAAAAAAAAAAA5Q1IdAAAAAAAAAAAAAAAAADlDUh0AAAAAAAAAAAAAAAAAOUNSHQAAAAAAAAAAAAAAAAA5o0amA6Bqbd68OaU8Z86cDEUCAAAAAADkopL3Jkreu4BMcz8NAAAAAACg8mX6vqGkuhyzePHilPJpp52WmUAAAAAAAADii3sXvXr1ynQYkOR+GgAAAAAAQNWr6vuG+VV2JgAAAAAAAAAAAAAAAADIMEl1AAAAAAAAAAAAAAAAAOSMvEQikch0EFSdNWvWxMSJE5Pl1q1bR61atTIYUdWaM2dOnHbaacnyU089FR07dsxcQEBOMQcBmWQOAjLJHARkivkHyCRz0O5t3rw5Fi9enCwfe+yx0ahRo8wFBCXk+v208jDXUR0Yx1QXxjLVgXFMdWEsU10Yy1QHxjHVhbFMdWAcsyuZvm9Yo8rORFZo1KhRnHrqqZkOI2t07NgxDjvssEyHAeQocxCQSeYgIJPMQUCmmH+ATDIHperVq1emQ4Ddcj+t4sx1VAfGMdWFsUx1YBxTXRjLVBfGMtWBcUx1YSxTHRjH7JTJ+4b5GTszAAAAAAAAAAAAAAAAAFQxSXUAAAAAAAAAAAAAAAAA5AxJdQAAAAAAAAAAAAAAAADkDEl1AAAAAAAAAAAAAAAAAOQMSXUAAAAAAAAAAAAAAAAA5AxJdQAAAAAAAAAAAAAAAADkDEl1AAAAAAAAAAAAAAAAAOQMSXUAAAAAAAAAAAAAAAAA5AxJdQAAAAAAAAAAAAAAAADkDEl1AAAAAAAAAAAAAAAAAOQMSXUAAAAAAAAAAAAAAAAA5IwamQ4AqtKBBx4YN910U0oZoKqYg4BMMgcBmWQOAjLF/ANkkjkIyAXmOqoD45jqwlimOjCOqS6MZaoLY5nqwDimujCWqQ6MY7JRXiKRSGQ6CAAAAAAAAAAAAAAAAACoCvmZDgAAAAAAAAAAAAAAAAAAqoqkOgAAAAAAAAAAAAAAAAByhqQ6AAAAAAAAAAAAAAAAAHKGpDoAAAAAAAAAAAAAAAAAcoakOgAAAAAAAAAAAAAAAAByhqQ6AAAAAAAAAAAAAAAAAHKGpDoAAAAAAAAAAAAAAAAAcoakOgAAAAAAAAAAAAAAAAByhqQ6AAAAAAAAAAAAAAAAAHKGpDoAAAAAAAAAAAAAAAAAcoakOgAAAAAAAAAAAAAAAAByhqQ6AAAAAAAAAAAAAAAAAHKGpDoAAAAAAAAAAAAAAAAAckaNTAcAezJ37tyYPHlyLFmyJLZs2RKNGzeOrl27xlFHHRW1a9fOWFyJRCKmTJkSH3zwQSxfvjwiIpo3bx49evSIXr16RV5eXsZiA9In2+agrVu3xqxZs2L69Onx2Wefxbp166JevXrRpEmT6N69e3zlK1+J/Hz58lAdZNv8A+SWbJ+Dtm/fHu+9917MmDEjli9fHlu3bo169epFq1atolu3btG1a1fXRLAfy9Y5aM2aNfHOO+/E/PnzY82aNbFjx45o2LBhtGrVKvr06RMtWrTIWGxA9Wc/GshW2XrtBhU1a9asmDp1aixZsiQ2btwYRUVF0bx58+jcuXP06NEjatWqlekQYZ+tX78+pk+fHh999FGsXLkyiouLo1GjRtGsWbM4/PDDo127dpkOEcps8eLF8e6778ayZctizZo1UVhYGI0aNYpOnTpF7969o379+pkOkf1UIpGIBQsWxL/+9a9YsmRJrFmzJmrVqhWNGzeOTp06RZ8+fVzvkvW2bNkSH330USxYsCCWLl0a69ati61bt0aDBg2Szxl169YtCgoK0nK+bdu2xaRJk+LDDz+MlStXRkFBQRx00EHRu3fvOOyww9JyDnJTVY/lnTZv3hzvvPNO8rp5+/btUb9+/Wjbtm0ceuih0bFjx7SeD9LBeo/qxpqPqiKpjqz01FNPxa9+9auYMmXKLn9er169uOCCC+Kmm26Kpk2bVllcW7dujTvvvDPuuOOOWLp06S6PadWqVVx11VXxn//5n1FYWFhlsQHpk01z0Pz58+Pxxx+PV155JV5//fXYtGnTbo9t2LBhnH/++XHllVdGp06dKjUuoHJk0/xTFhs3bozu3bvH3LlzU+qHDh0af/7znzMTFFBh2T4HzZ8/P0aNGhWPPvporFmzZrfHNWjQIPr37x/f//73Y9CgQVUXILBPsnUOeuKJJ+Kuu+6KCRMmRCKR2O1xX/va1+Kyyy6LCy+8MGrUsOUK+5OlS5fG5MmTY9KkSTF58uR49913Y926dcmft23bNhYsWJCR2OxHA9kqW6/doCLWrVsX//3f/x33339/zJ8/f7fH1axZM/r27Rv/7//9v7jyyiurMEJyRWVel06aNCmeeuqpePXVV+O9996LHTt27PbYtm3bxmWXXRaXXnppNG7cuELnI3dVxfqquLg47rnnnvif//mf+Oijj3Z7XH5+fgwcODCuvPLKGDBgwD6dk9ywevXqeOqpp+LFF1+M1157LVasWLHbYwsLC2Pw4MFx1VVXxbHHHlsp8bz00ksxcODAUvXjx4+P4447rlLOyf7v8ccfj3HjxsUbb7wRH330UWzbtm2Pxzds2DDOPffcuPLKK6Nr164VOuf69etjxIgR8Yc//CFWrVq1y2O6dOkS1113XVxwwQVeDkWZZGIs7zRt2rQYNWpUPPHEE7Fx48bdHte0adM44YQT4kc/+lEceeSR+3ROctu5554bf/3rX1PqynPdbL1HttjXsbyTNR8ZkYAsUlxcnPj2t7+diIgy/XfggQcmJk6cWCWxLVq0KPG1r32tzLH17t07sWTJkiqJDUiPbJqDiouLE//xH/9R5li+/F/NmjUTo0aNSuzYsaNSYgPSL5vmn/K4+uqrdxnf0KFDMx0aUA7ZPgdt37498Zvf/CZRq1atcl0TnX322VUWI1Bx2ToHrVixIjFo0KByr8d69+6d+Pjjjys9PmDfvP7664nTTz890bJly73+Xbdt2zYjMdqPBrJRtl67QUU9++yziebNm5frmr958+aZDptqpLKvS99///1E+/btK3S/sUWLFokXXngh/b801U5Vrq/ef//9RNeuXcs9ns8999zEhg0b0vMLUy1dccUViZo1a1Zovvzud7+bWLt2bVrjWbduXaJNmza7PN/48ePTei6ql4MPPrhC47iwsDBx0003lfs5o2nTpiUOOeSQMp/nxBNPTKxZs6aSfnuqk6oey4nEF3seV111VSI/P79c57zuuusq4f8BcsUzzzxT4etm6z2yyb6M5S+z5iNT8gOyxI4dO+Lss8+Ov/zlLyn1BQUFccghh0TPnj2jYcOGKT/797//HSeddFK89dZblRrb8uXLo3///vH++++n1BcVFcVhhx0W3bp1i9q1a6f87L333ov+/fvv8c1FQPbItjlo69atMWnSpF3+rHbt2nHIIYdEnz594tBDD42aNWum/HzLli1x7bXXxg9/+MO0xwWkX7bNP2U1efLkuPPOOzN2fiA9sn0O2rp1a5xzzjlxww03xObNm1N+1rBhw+jatWv07ds3unXrFnXq1Kn0eID0ytY56PPPP48BAwbE888/X+pnBx54YPTq1St69+4dLVq0KPXznftBmfqqFVA277zzTjz55JPxySefZDqUXbIfDWSjbL12g4q6/fbbY8iQIfHZZ5+l1NeuXTvat28fffv2ja9+9au+tkilquzr0iVLlsS8efN2+bOGDRtGly5dom/fvtG+fftSX4359NNPY/DgwaXeMg8lVdX66l//+ld84xvf2OWXCtq2bRt9+/aNHj16RIMGDUr9/NFHH41TTjkltmzZUqkxsv+aNGnSLsdHQUFBtGrVKnr37h3du3cvdb0bEfHQQw/FCSecEOvXr09bPNdff30sWrQobf2R22rXrh2dO3eOPn36RO/evaNt27al/t3funVr3HzzzXHxxReXud9Zs2bFN77xjVJfe65Xr1507949OnXqFIWFhSk/e+mll+Kkk06K4uLiiv9C5KzKGssRX9wXOuGEE+KOO+4o9ZWvJk2axGGHHRZ9+/aNLl26RK1atfb5d4GIiLVr18bll19e4fbWe2SLfR3LO1nzkUmS6sgao0aNiqeffjql7rLLLotFixbFvHnz4v33349Vq1bFE088EW3atEkes3HjxjjrrLNi7dq1lRbbBRdcEHPnzk2Wa9euHXfccUesWLEiPvzww5gxY0asWLEifve736U8zPDxxx/HhRdeWGlxAemTzXNQRMQhhxwSv/jFL+KNN96Izz//PObNmxeTJ0+O6dOnx5o1a2LMmDHRtm3blDZ333133HXXXZUaF7Dvsn3+2ZUtW7bERRddlNxMrFu3bpXHAKRHts9BF110UYwdOzZZrlGjRvzgBz+IyZMnx+rVq2PmzJkxadKkmDFjRqxbty5mzpwZd9xxRxx11FGlNoaB7JOtc9ANN9wQU6ZMSakbMmRITJkyJZYvXx7vvfdevPvuu7Fs2bKYMWNGfPvb3045dsmSJfH973+/UmIDKl+9evUyHYL9aCArZeu1G1TEAw88ED/+8Y8jkUgk60466aR44YUXYs2aNTF37tyYNGlSTJs2Lf7973/H0qVLY8yYMXHGGWeUetEhVJbKuC494ogj4q677kreX/zoo49i0qRJMXfu3Pjss8/i17/+dcqLq3bs2BHf/e53S73sAcoqXeN4+/bt8Z3vfCdWr16drCsoKIhrrrkmlixZEgsWLIhJkybFBx98EKtXr47XXnst+vbtm9LHa6+9FqNGjUpLPFRvjRo1iiuuuCL+/ve/x+rVq2Px4sXx7rvvxtSpU2PlypUxfvz4OProo1PaTJ48OS644IK0nP+NN96Iu+++OyIi8vPzS71UB/amZcuWcckll8SYMWNizpw5sWHDhpg1a1ZMnjw53n333ViwYEGsXLky7r333mjVqlVK2z/+8Y/xpz/9aa/n2LZtW5x55pkpL3c64IAD4sEHH4xVq1bF1KlTY/bs2fHpp5/GT3/608jP/7/HlN96660YNmxY+n5hqq2qGMsRXyTinX766fHPf/4zWVenTp346U9/Gh9++GFyT3bSpEnx0Ucfxfr16+ODDz6IESNGRPfu3dP6O5Nbrr322li6dGlEpOe5K+s9MiUdY9maj4zL9KfyIJFIJFasWJGoX79+yqc4b7311t0ev2TJkkS7du1Sjv/5z39eKbG99NJLpT4RPXHixN0eP2HChERhYWFKm9dee61SYgPSIxvnoHXr1iUiItGvX7/ESy+9VKbP0q9atSrRp0+flLgaNWqUWLlyZVpjA9InG+efsrjpppuS5z/44IMTP/7xj1NiGjp0aJXHBJRfts9BY8aMSTlXy5YtE1OnTi1z+1WrVlVabMC+y9Y56LPPPksUFBSknOfyyy/fa7tf/vKXKW0iIvHmm2+mPT4gPW6//fZERCTq16+fOO644xLXXnttYuzYsYkFCxYkxo8fn/K33LZt2yqNzX40kI2y9doNKuLjjz9O1K5dO+Xf2kceeaTM7e03kE6VfV367LPPJvLz8xPnn39+4sMPPyxTm6lTpyYOOOCAlHMfc8wx5T43uaMq1lePP/54qX2Xv/71r3tss2XLlsSJJ56Y0qZ+/fqJ4uLiCsVA9da7d+9Eu3btEvfff39i48aNez1+27Ztie9///ulxuW+rseLi4sTXbp0Sfb3ox/9KNG2bduUc4wfP36fzkH1NnXq1DI9X7TTqlWrEr169UoZYwcddFBi+/bte2x3zz33pLRp3LhxYvr06bs9/i9/+UvK8TVq1EjMnj27zHGSe6pqLCcSicSvfvWrlHaHHXZYYsGCBeU6N5TX+PHjE3l5eYmISOTn5yduu+22cl83W++RDdIxlhMJaz4yT1IdWWHYsGGl/pHe20XxuHHjSk2EK1asSHtsffv2TTnPjTfeuNc2P/vZz1LaHHXUUWmPC0ifbJyDNm/enHjuuefK3W7p0qWJunXrpsR27733pi0uIL2ycf7Zmw8//DBRs2bN5PmffPLJlCS7CEl1sL/I5jno3//+d6Jp06bJ8zRs2DDx8ccfp/08QOZk6xz0wAMPpJzjwAMPTGzYsGGv7bZv357o1q1bStvhw4enNTYgfebMmZOYPn36Lh+qyHRSnf1oIBtl67UbVET//v1TxuZjjz2W6ZDIYZV9XTpr1qwyP1z5ZU8//XSph9nszbE7VbG++s53vpPSz6BBg8rUbtGiRYkaNWqktH3ppZcqFAPV23PPPZfYvHlzudps27Ytcfjhh6eMr/POO2+f4hg+fHiyr1atWiU+//xzSXVUuhkzZiQfht/53z/+8Y/dHr958+ZE69atU45/4IEH9nqe888/P61/L1BSecdyIpFIfPTRR4latWolj2/Xrl1i+fLlVRQxuWrjxo2JDh06JMfdlVdeWaHrZus9Mi1dYzmRsOYj8/7vu8qQITt27Cj1qeVf/OIXkZeXt8d23/zmN+Poo49OltetWxePPfZYWmP717/+FZMnT06W69atG9dee+1e2w0bNizlE6ZvvvlmzJw5M62xAemRrXNQzZo1Y/DgweVu17Jlyxg6dGhK3UsvvZSusIA0ytb5Z0927NgRF110UWzZsiUiIk4//fQ47bTTquTcQHpl+xz061//OlasWJEs/+Y3v4mOHTum/TxAZmTzHDRr1qyU8oknnhh16tTZa7v8/Pw4/fTTU+rmzJmT1tiA9OnQoUMceuihkZ+fXbdI7EcD2Sibr92gvJ5++ukYP358snzmmWfGmWeemcGIyHWVfV3auXPnOOyww8rdbsiQIXHooYem1L344ovpCotqpirWVyX3a771rW+VqV3r1q2jb9++KXX2a9iVwYMHR82aNcvVpqCgIIYNG5ZSty/PZnzwwQcxatSoZPn3v/991K9fv8L9QVl169YtevfunVK3p32ll156KRYvXpwst2vXLr73ve/t9Twl15Fjx46NtWvXViBi2LXyjuWIiOuvvz42b96cLP/+97+PAw88sFLig51uvPHGmDt3bkREtGnTJm655ZYK9WO9R6alayxHWPORedl1x5ic9Oabb8a///3vZLl9+/Zx3HHHlantRRddlFJ+6qmn0hjZFzdWvuyss84q04ZF/fr1S92ASXdsQHpk8xxUUV9+UCEiYtGiRRmKBNiT/XH+ueOOO2LSpEkREdGgQYO46667quS8QPpl8xy0efPmeOihh5LlFi1axKWXXprWcwCZlc1z0KpVq1LKrVu3LnPbNm3apJTXrFmTjpCAHGI/GshG2XztBuV17733ppRvuummDEUC2c/9RrKJ/RqyVcm5cuXKlbFx48Zy97Nt27a46KKLYtu2bRERccYZZ8SQIUPSEiOURYcOHVLKX37xZUkl96++973v7fWlKzvPceyxxybLW7dujeeff76ckcKelWcsL1u2LJ577rlk+fDDD49BgwZVWmwQEfHOO+/EHXfckSz//ve/j3r16lV5HNZ77Kt0j2VrPjJNUh0Z9/e//z2lfMIJJ5RpobXz2C+bMGFCbNiwodJiGzBgQJnbloztyxfgQPbI5jmooho3bpxS9mYnyE772/wzb968uPHGG5PlW2+9NVq2bFmp5wQqTzbPQU8++WTKhtk555wTBQUFaesfyLxsnoMaNmyYUt60aVOZ25Y8tmnTpmmJCcgd9qOBbJTN125QHkuXLk35ekzPnj0r9EZ3yBXuN5JN7NeQrUrOlREVmy9/+9vfxpQpUyLii/H+3//93/scG5RHcXFxSrlRo0a7Pdb+FdmsPGP5wQcfTCYzR0Scf/75lRUWRMQXycQXXXRRbN++PSIizjzzzDj55JMzEov1HvuiMsayNR+ZJqmOjPvggw9SykcddVSZ27Zs2TLatWuXLG/ZsiVmzJiRlrgSiURMmzatwrH169cvpTx16tRIJBJpiQ1In2ydg/bF0qVLU8pNmjTJUCTAnuxv888ll1ySfLPikUceGZdffnmlng+oXNk8B5W8Gde/f/+09Q1kh2yeg3r27JlSfuedd8rcdvLkySnlvn37piMkIEfYjwayVTZfu0F5vPjii8mHfSLsN8DeuN9INqnofk0ikSh1rP0a0qnkXBlR/vly9uzZcfPNNyfLI0aMiIMOOmifY4Oy2tVc2bt3710e+9lnn8Wnn36aLNeqVSt69epV5nOV3L8qud6EfVGesRzhnjRV79Zbb41//etfEfFFwufo0aMzFov1HvuiMsayNR+ZJqmOjJs5c2ZK+dBDDy1X+5LHl+yvohYuXJh8cDwiom7duqU+Ebonbdu2jTp16iTLGzZsiMWLF6clNiB9snUO2hf//Oc/U8qdO3fOUCTAnuxP88/9998fr732WkREFBYWxn333VfmN5ID2Smb56CSG149evSIiIjt27fHCy+8EOecc0506dIl6tatG40aNYpOnTrFWWedFX/6059S1nBA9srmOejkk0+OunXrJstvvPFGvPXWW3ttN2fOnPjb3/6WLNeuXTvOO++8tMUFVH/2o4Fslc3XblAeu9tviIh4//334z//8z+jR48e0bhx46hTp060a9cuTjjhhPjtb3+7ywfmoTpLJBLx+uuvp9S530gmnX322Snl++67L9asWbPXdmPGjIlPPvkkWe7Vq1ephzVhX5R8NqNt27ZRs2bNMrdPJBJx8cUXJ7+s1K9fv7j00kvTGiPszR//+MeUubJr1667fRi95HquY8eO5RrzJdeHc+bMSflSGOyL8ozl7du3J78QGhFRs2bN6NatW0R88UKgsWPHxpAhQ6Jjx45RVFQUBxxwQHTr1i2GDh0a//u//2vcUm4zZsyIX//618nyyJEjo0WLFhmJxXqPfVFZY9maj0yTVEdGbdq0KRYtWpRS17p163L1UfL4WbNm7XNcu+qnvHHtqk26YgPSI5vnoIr6/PPP4/HHH0+pGzRoUIaiAXZnf5p/li1bFtdee22yPGzYsDjssMMq5VxA1cjmOWjt2rUxe/bsZLmgoCDatm0b8+bNi6OPPjoGDRoU//u//xuzZ8+OjRs3xtq1a2POnDkxduzYuPDCC6NTp04xZsyYtMQCVI5snoMivnib3g033JBSd8YZZ+zxbXgzZ86MQYMGxZYtW5J1t9xySzRr1ixtcQHVn/1oIBtl+7UblEfJa/r27dvH+vXr46KLLopevXrFf//3f8e0adNizZo1sWnTpli4cGGMGzcurr322ujUqVPccMMNsXXr1gxFD1VrwoQJMX/+/GQ5Ly8vBg4cmMGIyHUnnHBCDBgwIFlevnx5nHLKKfHZZ5/tts0zzzwTl19+ebJcWFgYv//97ys1TnLPH//4x5RyeZ/N+MMf/pBMzKtZs2bce++9XmxKlXrwwQfjiiuuSJbz8/Pjrrvu2u043Nf9qwMPPDBq166dLG/ZsiXlmgMqqrxjecaMGSkvOGvVqlUUFhbGlClTokePHnHWWWfFs88+G3Pnzo3i4uJYvXp1fPTRR/HQQw/FOeecE4cddli8+OKLlf57UT3s2LEjLrroouR9xKOPPjouueSSjMVjvUdFVeZYtuYj02pkOgBy24oVKyKRSCTLhYWF5X7g6OCDD04pL1++PC2xleynVatW5e7j4IMPTllMpis2ID2yeQ6qqFtuuSXWr1+fLDdt2jROPvnkDEYE7Mr+NP9cccUVyTe/dOrUKX72s59VynmAqpPNc9C8efNSYqtfv37MmDEjjjrqqFi7du1e23/yySfx3e9+N6ZPnx4jRoxIS0xAemXzHLTT9ddfH9OnT49HHnkkIr54ycCRRx4ZgwcPjgEDBkTbtm0jLy8vli5dGq+99lo88cQTKQ/XXn/99fGTn/wkrTEB1Z/9aCAb7Q/XblBWc+bMSSnn5+fHMcccE++///5e227atCluvfXWeOedd+KJJ56I+vXrV1aYkHE7duyI4cOHp9QNHDgwY19RgJ3+8pe/RP/+/ePDDz+MiIjXX389OnXqFOecc07069cvmjVrFlu2bIk5c+bEM888E//4xz+SbevUqRMPP/xwHHHEEZkKn2ro+eefTxlnEREXXHBBmdsvXrw4rr/++mT5uuuuK/dXoWFvZs+enfKilK1bt8bq1avjww8/jKeffjpmzJiR/NnOxM5vfvObu+0vHftXLVu2jHnz5qX02alTp3L3Q25J91guuT5s0KBBTJgwIU488cSUFyjuKZ7BgwfH6NGj4wc/+EEFfiNyyejRo+Ptt9+OiMwn0VvvsS8qeyxb85FJkurIqC8nfkR8MamVd4KtW7fuHvusqJL9lDxPWVRWbEB6ZPMcVBFvvvlm/O53v0up+9nPfhZ16tTJUETA7uwv889jjz0WTz31VLJ8zz33pLw5Dtg/ZfMctDOJd6e8vLw4+eSTkwl1derUifPOOy+OOeaYaNKkSaxcuTImTpwYjzzySGzatCnZbuTIkXHwwQfHj370o7TEBaRPNs9BO+Xn58fDDz8cRx11VNx8883x73//O7Zv3x7PPPNMPPPMM7tt169fv7j55pv3eKMWYHfsRwPZaH+4doOy2LFjR6xbty6l7j//8z+TCXU79x8GDRoUrVq1ig0bNsT7778fY8aMiU8++STZZty4cXHBBRfE3/72tyqNH6rSb3/725g0aVKynJ+fH7/+9a8zGBF8oWnTpvH222/H8OHD45577oktW7bEunXr4r777ov77rtvl20KCwvjW9/6VvzqV7+SsEFarVq1Ki699NKUutNOOy369u1b5j4uu+yy5PVJly5d4qc//WlaY4SIiLvvvjvuvPPOPR6z8wtFt956a/To0WOPx9q/IlPSPZZL3pNes2ZNnHHGGcmEuiZNmsR5550XRx55ZDRs2DA+/fTTePnll+Nvf/tbbNu2LSK+WGf+8Ic/jNatW8eQIUMq/stRrc2fPz/l5eXDhw+Prl27Ziwe6z0qqirGsjUfmZSf6QDIbSUXRRV5SLuoqGiPfVZUNscGpEd1+jtfvnx5nHPOObF9+/ZkXZ8+feKHP/xhRuIB9mx/mH9WrlyZkozyve99L/r375/WcwCZkc1zUMkbGKtXr4758+dHRETv3r1j5syZcd9998V3vvOdGDRoUHznO9+J+++/P2bMmBHdu3dPaXvttdfG7Nmz0xIXkD7ZPAd9WV5eXvzgBz+IKVOmlOnr3/369Yuf/OQnrpeACttf5kcgt5ibqC7Wrl2b8tXFiIgpU6ZExBcPS06cODGeeeaZuOyyy+Lkk0+Os88+O0aMGBGzZs2K8847L6XdE088EQ899FCVxQ5V6Z///GeppI6rrroqvva1r2UoIkhVt27dGD16dIwfP75MX/Q655xz4uqrr/ZwJWm1Y8eOOP/882PJkiXJuoYNG8bo0aPL3MfDDz8czz//fER8sQ95zz33RK1atdIeK5TFmWeeGT/96U/3moQUYY1IdivPWC55T3rBggWxatWqiIg46aSTYtasWTF69Og499xzY9CgQXHhhRfGX//613j33XejdevWKW0vvPDCWL16ddp+D6qX73//+7Fhw4aIiOjatWvccMMNGYvFeo99UVVj2ZqPTJFUR0YVFxenlGvWrFnuPkpuKnz56wT7IptjA9Kjuvydb968OU4//fRYvHhxsq5+/frxyCOPREFBQZXHA+zd/jD/XHXVVbF8+fKIiGjWrFn89re/TWv/QOZk8xy0uxtnrVq1ildeeSXatGmzy5+3a9cuXn311WjRokWybvPmzeYuyELZPAd92YYNG+LHP/5xdO7cOZ577rm9Hv/GG2/Et771rTjssMPi7bffTns8QPW3v8yPQG4xN1Fd7G6/oaCgIP7+97/H0Ucfvcuf16tXL8aMGRMDBgxIqf/Nb35TKkkP9nfz5s2Lb33rW8kvb0RE9OzZM37zm99kMCpINX/+/DjttNPi61//esyYMWOvx48ZMyaOOOKIGDx4cMqXR2FfXHvttfHCCy+k1N1zzz2lkix2Z/ny5XHVVVclyxdeeGEce+yx6QwRyuWxxx6Lr3/963HMMcfEnDlz9nisNSLZrDxjeXdrxF69esWTTz4ZTZo02eXPe/ToEePGjYs6deok61auXBl/+MMfKh441dYDDzwQ48aNi4gvkujvvffeCs2b6WC9x76oyrFszUemSKojo0q+rWTn55PLY/PmzXvss6KyOTYgParD3/nOt6C9+eabybqCgoL4y1/+Eh07dqzSWICyy/b554UXXoiHH344Wb799tvjgAMOSFv/QGZl8xy0u35GjRoVjRs33mPbpk2bxogRI1LqxowZ42YcZJlsnoN2+uSTT+Lwww+P22+/PTmHdOnSJe6+++746KOPYv369bFx48aYO3du/PnPf47evXsn23700Udx9NFHx1NPPZXWmIDqb3+YH4HcY26iutjduLv44ovjP/7jP/bYNj8/P/7whz9Efv7/PVoxa9asmDhxYlpjhExasWJFnHTSSbFixYpkXfPmzeOJJ57w5SSyxvjx46Nnz57x9NNPJxObv/nNb8Zjjz0WixYtis2bN8fatWvjgw8+iJEjR8bBBx+cbPv888/H4YcfHh9//HGmwqeaGD16dPzud79LqRs2bFicffbZZe7jRz/6UaxcuTIivphrR40aldYY4cvuuOOOSCQSyf82btwYixcvjueeey4uuuiilK/G/fOf/4w+ffrEu+++u9v+rBHJlMoeyzv9/ve/3+v1b+fOnWPYsGEpdffee285fhtywbJly+Kaa65Jli+++OLdvtCnslnvsS+qcixb85FJkurIqHr16qWUS77NpCxKPiBZss+KyubYgPSoDn/nV1xxRTz++OPJcl5eXtx3331xyimnVGkcQPlk8/yzbt26uOyyy5LlgQMHxnnnnZeWvoHskM1z0K76OeCAA+KMM84oU/uzzz47GjZsmCwXFxfH5MmT0xIbkB7ZPAdFfBHPgAED4qOPPkrWXXzxxTFt2rS4/PLLo0uXLlG3bt0oKiqK9u3bx9ChQ+Odd96Jn/70p8njt23bFueee27MnDkzbXEB1V+2z49AbjI3UV3sbtxdcsklZWrfvn37OP7441PqJNVRXaxbty5OOumkmD17drKuYcOG8dJLL8UhhxySwcjg/8yaNStOOeWU+PzzzyPii4Tn++67L8aNGxdnnnlmtG7dOmrWrBkNGjSIHj16xLBhw2LGjBkxcODAZB/Lli2LU045pULXMxAR8cgjj6R8YS4i4oILLij1sr89eeaZZ+Kxxx5Llu+44469vlAQ0qmoqChatWoVgwcPjvvvvz+mTZsWPXv2TP58zZo1cdppp8WaNWt22d4akWyR7rEcEfGVr3wljjjiiDKd/5JLLom8vLxkeeHChbFw4cJy/Q5Ubz/4wQ+S469FixZx2223ZSQO6z32VVWNZWs+Mk1SHRlV8uJ048aNyezistqwYcMe+6yokv2UPE9ZVFZsQHpk8xxUFsOHD4977rknpe6//uu/4nvf+16VxQBUTDbPP9dff30sWrQoIiLq1KkTf/jDH9LSL5A9snkO2lU/Rx55ZBQWFpapfe3ataNv374pdXt6CyFQ9bJ5DoqIGDlyZEyfPj1Z/sY3vhH33HNP1KxZc7dt8vLy4pZbbonvfOc7ybri4uL4yU9+kra4gOrPfjSQjbL92g3KqqioKAoKClLq6tevH1/72tfK3Mexxx6bUrbfQHVQXFwcQ4YMSRnPderUib///e/Ro0ePDEYGqS677LKUa4qf//zncfHFF++xTYMGDeJvf/tbdOnSJVk3a9asGD16dKXFSfX13HPPxdChQ1Ouhb/1rW/F/fffn5JUsSdr166Nyy+/PFk+6aST4pxzzkl7rFAeHTt2jFdeeSVat26drFu6dOluv6Bo/4psta9jOaL0mm9PWrZsGR07dkyps0Zkp7Fjx8aTTz6ZLN95553RqFGjKo/Deo99VZVj2ZqPTJNUR0Y1bdo0ZXNh69atsXz58nL1sXTp0pRys2bN0hJbyX6WLFlS7j4qKzYgPbJ5DtqbESNGlHrj2c9//vO4+uqrq+T8wL7J1vln/vz5KUl0N998c7Rr126f+wWyS7bOQRERzZs3L1XXuXPncvXx5Q2ziCj37wZUrmyeg7Zv3x533XVXSt0tt9wS+fll20L99a9/nXLsiy++GIsXL05LbED1Zz8ayEbZfO0G5VVy7HXs2LHM1/oR9huofrZu3RpnnXVWTJgwIVlXs2bNeOKJJ6Jfv36ZCwxKmDZtWso4bdy4cVx77bVlalunTp248cYbU+ruu+++dIZHDhg/fnyceeaZsW3btmTdCSecEI8++mippP09uf322+OTTz6JiIi6det6sSlZo2nTpnHzzTen1P35z3/e5bHp2L/a+Xewuz6hosozlt2TpjJ9+Vp18ODBcdZZZ1V5DNZ7pENVjWVrPrKBpDoyqqioKNq0aZNSt/PLKGVV8viuXbvuc1wRpS96K/IQVMk26YoNSI9snoP25Pe//30MHz48pe7KK68stTEAZK9snX/Wrl2b8obFa6+9NvLy8vb6X8n558EHH0z5eSbeuATsXrbOQRERHTp0KPU1qAYNGpSrj5LHr169ep/jAtInm+egadOmxYoVK5Llpk2bxhFHHFHm9q1bt055s2MikYjXX389LbEB1Z/9aCAbZfO1G5RXt27dUsr2G8hlO3bsiO9+97vx7LPPJusKCgrikUceiRNPPDGDkUFpr776akr5G9/4RtSpU6fM7QcPHpzykoA5c+bEsmXL0hYf1dukSZNiyJAhUVxcnKw76qij4sknnyx1L2Nv1qxZk/zfGzZsiHbt2pXpPuzChQtT+unfv3/Kz6+66qp9+RUhIiJOP/30lLnyk08+KTX2IkrvX5V3fbh8+fKUv6eaNWtG+/btyxkt7F5Zx3LJ9WGENSLp8+V/8//+97+X6d/7/v37p/SxcOHCUsd88MEHZTq/9R7pUlVj2ZqPbCCpjowrefNsxowZ5Wo/c+bMPfZXUW3bto2ioqJkecOGDbu8wN6dhQsXxsaNG5PlunXrpnxeGsgO2ToH7c5DDz0UP/rRj1LqLrzwwrj99tsr9bxA+u1v8w9QvWTrHFRQUFDqLYCbN28uVx9fvhkXEeXabAOqRrbOQfPnz08p73ywpTwOOeSQlHLJL7MA7I79aCBbZeu1G5TXoYcemlK230CuSiQS8f3vfz/++te/Juvy8vLi/vvvjzPOOCODkcGuldyvKbn3sjeNGjWKxo0bp9TZr6Espk2bFieddFKsX78+Wfe1r30tnn/++ahbt24GI4P0a9SoURxwwAEpdZ9++mmp40qu5+bOnRtbtmwp83lKrg87dOgQNWrUKEeksGdlHcutW7eO+vXrp9RZI1IdWO+xP7LmIxtIqiPjevbsmVJ+8803y9x22bJlsWDBgmS5sLCw1A2RisrLy4vu3btXOLY33ngjpdy9e/dyP4gFVL5snYN25W9/+1tceOGFKV+ROuuss+K+++4zv8B+aH+af4DqJ5vnoF69eqWUP/vss3K1X758eUq5SZMm+xwTkF7ZOgeVvGFakZv5hYWFKeU6liO7AAATmklEQVTt27fvU0xA7rAfDWSrbL12g/Ky3wBfuPrqq+OBBx5IqRs9enRccMEFmQkI9sJ+DZkwa9asOOGEE1K+OtStW7d46aWXomHDhhmMDKpOybkzIqJFixbRokWLZHnz5s3x3nvvlbnPkvtXJdebUBl2NZYjvkiU/jJrRKoD6z32R9Z8ZAOveSDjTj755Bg5cmSyPG7cuEgkEmW64f/yyy+nlPv37x/16tVLa2yTJk1Kll955ZU499xzy9T2lVdeSSmfcsopaYsLSJ9snoO+7IUXXojzzjsv5WJv8ODB8fDDD0d+vhx52B9l4/zTsWPHUtcwZfHQQw/FmDFjkuUBAwbEtddemyzvbpMSyJxsnIN2GjJkSDz00EPJcnluxu3q+C5duqQlLiB9snUOKnnD85NPPil3HyXfenfggQfuU0xAbrEfDWSjbL12g/IaPHhw5Ofnx44dOyLii7dgr1q1qtRXDHbHfgPVwY033hh33nlnSt1vfvOb+OEPf5ihiGDv9nW/ZvPmzbFy5cqUOvs17MnChQvj+OOPT0mWOOSQQ+KVV17Zp7FzxRVXxMknn1zudueff35Kosdvf/vb6NGjR7Lcpk2bCscEO61bty5WrVqVUte8efNdHjt48OCUhI1XXnkljjzyyDKdx/4Vla08Y3nIkCHxj3/8I1kuzz3p7du3xwcffJBSZ43ITk8//XRs3bq1XG2mTp0a11xzTbLcvHnzePjhh1OO6dix4x77sN4j3apqLFvzkQ0k1ZFxRx11VDRt2jRWrFgRERHz5s2LCRMmRP/+/ffatmRG/amnnprW2IYMGRI33nhjsjx27NgYPXr0Xm/4rVu3LsaOHVupsQHpkc1z0E4TJ06MM844I7Zs2ZKs69+/fzz++OMSVWA/lo3zT7169eL4448vd7vXX389pXzQQQdVqB+g6mTjHLTTwIEDo3bt2lFcXBwREdOmTYuPP/44OnXqtNe206dPj5kzZ6bUHXfccWmND9h32ToHtWvXLqW8aNGimDt3bnTo0KFM7detWxfvvPNOSl1Z2wJE2I8GslO2XrtBeTVr1iz69esX//znP5N1TzzxRFx88cV7bbtt27Z48sknU+rsN7C/GTVqVNxyyy0pdcOHD4/hw4dnKCIom5L7NRMmTChzgn/EF/fat23blizXqlUrDj744HSGSDWybNmy+OY3vxlLlixJ1h188MHx6quv7vO46dy5c3Tu3Lnc7WrXrp1S7t27t+sQ0u7vf/97JBKJZPnAAw+Mgw46aJfHDhkyJGWt96c//SluvPHGvc7Lc+fOjYkTJybLhYWFMWjQoH2MHFKVZyyffvrpKYkf48aNi88//zwaNGiw1/O8+OKLsX79+mS5fv360bt3732InOrk2GOPLXebkl/mql27drmeu7LeozJU1Vi25iMb+LQNGZefn1/q07I333xzysXtrrz66qspNz3q168fZ511Vlpj6969e/Tp0ydZXr9+fdx22217bXfbbbfFhg0bkuUjjjgiDj300LTGBqRHNs9BERHvvvtunHLKKbFp06Zk3RFHHBHPPPNMqc1TYP+S7fMPUL1l8xxUt27dOP/881PqSm4A784vf/nLlPKxxx4bzZo1S1tsQHpk6xzUuXPnaNWqVUrdb3/72zK3/93vfhebN29OluvUqRNHHHFE2uIDqj/70UA2ytZrN6iISy+9NKU8atSolGv43bnvvvvi008/TZYbNGgQJ554Ytrjg8pyzz33xLBhw1LqfvjDH8ZvfvObDEUEZffNb34zpbxo0aJ47LHHytQ2kUjEiBEjUuq+/vWvR61atdIWH9XHqlWr4oQTToi5c+cm6w488MB45ZVX4pBDDslgZFC5Nm3aFDfddFNK3cknnxz5+bt+tPjEE09M2UdfsGBB/OlPf9rreX7xi1+krCPPOOOMaNiwYQWjhtLKO5bbt2+fkuixcePG+K//+q+9nmfHjh2l7l1/61vfioKCggpEDfvOeo/9nTUf2UBSHVnhuuuuS3nb7sSJE2PkyJG7PX7p0qWl3hp45ZVXRtOmTfd4nry8vJT/JkyYsNfYSj6UOWLEiJTPPpe0q9jL+gAokBnZOgdNnz49Bg4cGOvWrUvW9ezZM1544YW9vqEc2D9k6/wD5IZsnoNuuummlBcIPPTQQ/HHP/5xj23uvvvuUhtr3rwG2Stb56CSSb333HNPPPTQQ3tsExHx7LPPltr/Oeecc2zYQ46zHw1UF1V17QaV7dxzz42vfvWryfLs2bPj0ksvjR07duy2zaRJk0o9nHbFFVd4AJj9xiOPPBJXXHFFSt33vve9GD16dIYigvLp0KFDqZcWXX755TFt2rQ9tkskEjF8+PAYP358Sv3QoUPTHiP7v3Xr1sXAgQNj+vTpybpGjRrFyy+/HN26dctgZFB2w4YNi3feeadcbVatWhVDhgyJ2bNnJ+sKCgri6quv3m2bWrVqxU9/+tOUumuuuSZmzJix2zaPPPJIPPzwwynnuPnmm8sVK7mjqsZyRMStt95aqvziiy/usc31118fb7/9drKcl5cX1113XbnihXSx3qM6sOYjG9TY+yFQ+Zo2bRo33HBD3HDDDcm64cOHx6JFi+JnP/tZtGzZMiK+eMvDM888E1deeWUsWrQoeWzLli3jJz/5SaXENnDgwBgwYEC8/PLLERGxdevWOPHEE2PEiBFxySWXRJ06dSIiYsOGDXHffffF8OHDY+vWrcn2gwYNKpVFDWSXbJyDli1bFgMGDIiVK1cm6+rWrRvDhg2Ld999t9z9ledz4EDVycb5B8gd2TwHtWrVKq677rqUG2oXX3xxTJkyJa677rpo3bp1sn7RokVx6623xj333JPSx7nnnuut8ZDFsnUOGjZsWNx7772xatWqiPhiM37o0KExfvz4uOaaa+Kwww5LOX7OnDlx5513xt13353yIG6dOnXi5z//edrjA9LnjTfeiE2bNpWqnzp1akq5uLg4xo0bt8s+WrZsmfYvwtmPBrJRtl67QXnl5+fH7bffHieccELyKxkPPvhgLF26NEaMGBG9e/dOHrt27dp44IEH4qabbor169cn6zt37pzytwD7qjKvS8eNGxdDhw5NWa927do1zj777Hj11VfLFWfjxo1T/kbgyyp7fTVixIjo379/cu5evXp1HHnkkXH99dfHJZdcEi1atEgeu2PHjnjrrbfiV7/6Vbz00ksp/Xz1q1+Nb3/72+X63cgNQ4YMKZXA8eMf/zhWrFix2zG7O717947GjRunMzwok5dffjlGjRoVffv2jbPPPju+8Y1vxGGHHRaFhYUpxyUSiZg1a1aMHTs2Ro8eHStWrEj5+dVXX53yIopdueiii+Kuu+5KJqKuXr06jj766Lj99tvjvPPOixo1vngsedWqVXH77beX+lrSpZdeGp07d97XX5lqqirH8uGHHx5Dhw6NBx98MCK+2Is99dRTY/jw4fGDH/wgDjzwwOSxH330Udx4443x+OOPp/Rx/fXXS8AmI6z3qE6s+ci0vMSXv6kMGbRjx4449dRT47nnnkupLygoiLZt20bDhg1j/vz5sWbNmpSfFxUVxSuvvBL9+vXb6zny8vJSyuPHj4/jjjtur+0+++yzOPLII2P+/Pmlzt2+fftIJBIxb968KC4uTvl5hw4d4q233kq5uAayU7bNQRMmTIj+/fuX63fYE//cQ/bKtvmnIn7xi1+kJL4MHTo0/vznP6etf6DyZPMctH379jjttNNKxZaXlxeHHHJINGnSJFauXBnz5s0r1bZXr14xceJEX/eFLJetc9A//vGPGDBgQGzevLnUz5o1axatWrWKvLy8+OSTT2LZsmWljsnPz48nnngiTj311L3GB2ROu3btYuHChfvUx97WPvajgeqkKq7doKqMHDkyrr/++lL1LVq0iFatWsWGDRti7ty5sWXLlpSfN2nSJMaPH7/XBzOhPCrzurTk3v2+OPbYY8v05WVyU1Wsr3Y3d+88f7NmzWLz5s2xYMGCWLt2baljDjzwwHj77bejffv2+xQn1VPJ9fu+SPd92JJ/X+nun+qjZ8+epZKZa9asGQcffHA0atQoatasGevWrYvFixfHunXrdtnH0KFD449//GPk5+fv9XwzZ86Mr3/968kX1O1Ur1696NChQ2zatCnmz5+f8jKoiIi+ffvGhAkToqioqJy/Ibmiqsfyhg0b4rjjjiv1kvuCgoLo0KFDNGzYMD799NNYvHhxqbYnnXRSPPvss1FQUFCO3xBKK/msaNu2bWPBggV7bGO9RzaqyFjeyZqPTNr7FQNUkfz8/Bg7dmycc845KfXbt2+PefPmxfvvv1/qRlyTJk3i+eefr/Qbcc2bN4/x48dHjx49Uuo3bdoU06dPjxkzZpR6gKFnz54xfvx4DzDAfiKb5yCgejP/AJmUzXNQQUFBPP744zF06NCU+p0Pkb/zzju7TKgbMmSIhDrYT2TrHHTMMcfEuHHjom3btqV+tnz58pgyZUq89957u0yoa968eTz77LMS6oB9Yj8ayEbZeu0GFXHdddfF6NGjS33p4NNPP4133303Zs6cWSqhrkuXLvHWW29JqAPIkOuuuy7+53/+J/n17i9bsGBBTJ48OaZOnbrLhyt79+4dr7/+uocrgZyzZcuWmD9/frz//vsxadKkmDFjxi6TkBo0aBB33313/OlPfypTElJERLdu3eK1114rtY++fv36mDp1asyePbtUQt3xxx8fL730koQ6yq0yx3LdunXjlVdeiYEDB6bUb9++PWbPnh3vvPPOLhPqvv/978czzzwjoQ4gTaz5yCRJdWSV2rVrx6OPPhqPP/549OzZc7fH1a1bN6644oqYMWNGlb19p23btjF58uQYOXJktGzZcrfHtWzZMm677baYNGlStG7dukpiA9Ijm+cgoHoz/wCZlM1zUK1ateLPf/5zvPDCC3t8CDMvLy/+4z/+I5599tl4+umnJdTBfiRb56Cvf/3r8a9//Stuv/326Nq1616Pb9euXdxyyy0xffr0GDRoUKXHB1R/9qOBbJSt125QET/60Y9i2rRpcfbZZ5dKrvuyQw45JO68886YNm1adOrUqQojBKCkSy+9NGbMmBHXXHPNXl8okpeXF3379o0//elP8dZbb0Xnzp2rKEqAzHj00Udj5MiRcfzxx0eDBg32enxeXl507949Ro0aFXPmzInLL7+83F9t7NGjR/zrX/+K4cOHR+PGjXd7XKdOneK+++6Ll19+ORo1alSuc5B7MjGWGzVqFM8//3z85S9/ie7du+/2uBo1asTxxx8fr7/+etxzzz1Ro0aNcp0HgD2z5iNT8hKJRCLTQcDuzJkzJyZNmhRLly6NLVu2RKNGjaJbt27Rr1+/qF27dsbi2rFjR7z33nsxderUWL58eURENGvWLHr27Bm9evUq81sugOyWrXMQUP2Zf4BMyuY5aOnSpfHWW2/FwoULo7i4OBo3bhwHHXRQ9OvXL5o1a5bR2ID0yNY56NNPP4133nknPvnkk1izZk0kEolo2LBhNG/ePA4//PBo06ZNxmIDqj/70UC2ytZrNyivzz//PN588834+OOPY+3atVGvXr1o3rx59OrVK7p06ZLp8ADYhUQiER9//HG8//77sWLFili7dm0UFhZGo0aNok2bNtG3b989JngAVGc7duyIjz/+OObMmROLFi2Kzz//PLZu3Rr169ePhg0bRrt27aJXr15lSlgqq61bt8akSZPiww8/jJUrV0ZBQUEcdNBB0atXL197psIyMZYjIubOnRuTJ0+OJUuWxJYtW6JJkybRqlWrOProo6Nhw4ZpPRcAu2bNR1WSVAcAAAAAAAAAAAAAAABAzvD6UgAAAAAAAAAAAAAAAAByhqQ6AAAAAAAAAAAAAAAAAHKGpDoAAAAAAAAAAAAAAAAAcoakOgAAAAAAAAAAAAAAAAByhqQ6AAAAAAAAAAAAAAAAAHKGpDoAAAAAAAAAAAAAAAAAcoakOgAAAAAAAAAAAAAAAAByhqQ6AAAAAAAAAAAAAAAAAHKGpDoAAAAAAAAAAAAAAAAAcoakOgAAAAAAAAAAAAAAAAByhqQ6AAAAAAAAAAAAAAAAAHKGpDoAAAAAAAAAAAAAAAAAcoakOgAAAAAAAAAAAAAAAAByhqQ6AAAAAAAAAAAAAAAAAHKGpDoAAAAAAAAAAAAAAAAAcoakOgAAAAAAAAAAAAAAAAByhqQ6AAAAAAAAAAAAAAAAAHKGpDoAAAAAAAAAAAAAAAAAcoakOgAAAAAAAAAAAAAAAAByhqQ6AAAAAAAAAAAAAAAAAHKGpDoAAAAAAAAAAAAAAAAAcoakOgAAAAAAAAAAAAAAAAByhqQ6AAAAAAAAAAAAAAAAAHKGpDoAAAAAAAAAAAAAAAAAcoakOgAAAAAAAAAAAAAAAAByhqQ6AAAAAAAAAAAAAAAAAHKGpDoAAAAAAAAAAAAAAAAAcoakOgAAAAAAAAAAAAAAAAByhqQ6AAAAAAAAAAAAAAAAAHKGpDoAAAAAAAAAAAAAAAAAcoakOgAAAAAAAAAAAAAAAAByhqQ6AAAAAAAAAAAAAAAAAHKGpDoAAAAAAAAAAAAAAAAAcoakOgAAAAAAAAAAAAAAAAByhqQ6AAAAAAAAAAAAAAAAAHKGpDoAAAAAAAAAAAAAAAAAcoakOgAAAAAAAAAAAAAAAAByxv8HKg7GmQZNdq8AAAAASUVORK5CYII=\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "obs = eval_env.reset()\n", - "done = False\n", - "\n", - "while not done:\n", - " action, _states = agent.predict(obs, deterministic=True)\n", - " obs, reward, done, info = eval_env.step(action)\n", - "eval_env.render()" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "ef45e3c4", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Number of unique solutions: 20\n", - "Unique solution indices: [ 7 5 6 16 17 4 19 18 1 2 3 8 15 14 0 11 10 13 12 9]\n", - "Unique solution counts: [1 1 1 6 6 1 6 6 1 1 1 1 6 7 1 1 1 1 1 1]\n" - ] - } - ], - "source": [ - "index, counts = np.unique(eval_env._solution, axis=0, return_index=True, return_counts=True)[1:]\n", - "print(f'Number of unique solutions: {len(counts)}')\n", - "print(f'Unique solution indices: {index}')\n", - "print(f'Unique solution counts: {counts}')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2faa6dde", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.13" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -}