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@maxentile
Last active September 21, 2023 14:05
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from jax.config import config\n",
"config.update(\"jax_enable_x64\", True)\n",
"\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"from scipy.optimize import minimize\n",
"\n",
"from jax import numpy as jnp, value_and_grad, jit, vmap\n",
"from jax.scipy.special import logsumexp\n",
"\n",
"from functools import partial\n",
"\n",
"np.random.seed(0)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Define toy example\n",
"\n",
"* physically reasonable prior on parameters\n",
"* log boltzmann weight fxn\n",
" * note: could be implemented in terms of basis functions rather than conformations `x`\n",
"* function to generate samples at a given setting of FF params"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"ref_params = np.array([1.0, 1.0, 1.0, 10.0])\n",
"\n",
"def log_prior(params):\n",
" \"\"\"toy example: something that enforces physical bounds on FF params,\n",
" and optionally encourages it to be close to a reference FF\"\"\"\n",
"\n",
" # TODO[future]: ensure this is normalized, if we do anything Bayesian-model-comparison-y that assumes it\n",
"\n",
" sig, eps, charge_prod, confine_k = params\n",
"\n",
" lj_okay = jnp.where((sig > 0) * (eps > 1e-3), 0.0, -np.inf)\n",
" confine_okay = jnp.where(confine_k > 0, 0.0, -np.inf)\n",
" confine_charge_prod = -(charge_prod/10)**2\n",
"\n",
" near_ref_params = -jnp.sum((params - ref_params)**2)\n",
"\n",
" return lj_okay + confine_okay + confine_charge_prod + near_ref_params\n",
"\n",
"\n",
"@jit\n",
"def log_q_fxn(x, params):\n",
" \"\"\"toy example: log boltzmann weight fxn\n",
"\n",
" 1D Lennard-Jones oscillator\n",
" (+ constrained to be positive, harmonically restrained near origin)\"\"\"\n",
"\n",
" sig, eps, charge_prod, confine_k = params\n",
"\n",
" lj = 4 * eps * ((sig/x)**12 - (sig/x)**6)\n",
" es = charge_prod / x # TODO: soften this a bit?\n",
" confine = confine_k * (x/2)**2\n",
" positive = jnp.where(x < 0, np.inf, 0)\n",
"\n",
" energy = lj + es + confine + positive\n",
"\n",
" return - energy\n",
"\n",
"\n",
"def simulate_trajectory(log_q_fxn, x0, n_steps=10000, stepsize=0.1, seed=None):\n",
" \"\"\"toy example: generate possibly-correlated samples from boltzmann distribution\n",
" \n",
" RWMH with Gaussian proposals\n",
" \"\"\"\n",
"\n",
" if seed is None:\n",
" seed = np.random.randint(1000000)\n",
" \n",
" rng = np.random.default_rng(seed)\n",
" xs = [x0]\n",
"\n",
" # handle case of array and floats\n",
" if hasattr(x0, \"shape\"):\n",
" size = x0.shape\n",
" else:\n",
" size = None\n",
"\n",
" for _ in range(n_steps):\n",
" x_prop = xs[-1] + stepsize * rng.standard_normal(size)\n",
" log_accept_prob = np.minimum(0.0, log_q_fxn(x_prop) - log_q_fxn(xs[-1]))\n",
" if np.exp(log_accept_prob) > rng.uniform():\n",
" xs.append(x_prop)\n",
" else:\n",
" xs.append(xs[-1])\n",
" return np.array(xs)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Illustrate: Generate samples from initial parameters"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1000\n"
]
},
{
"data": {
"text/plain": [
"Text(0, 0.5, '$p(x)$')"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": "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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"params_0 = np.array(ref_params)\n",
"\n",
"assert log_prior(params_0) > -np.inf\n",
"\n",
"log_q_0 = partial(log_q_fxn, params=params_0)\n",
"samples_0 = simulate_trajectory(log_q_0, 1.0)\n",
"\n",
"ref_samples = samples_0[::10][1:]\n",
"log_q_ref_on_samples = vmap(log_q_0)(ref_samples)\n",
"print(len(ref_samples))\n",
"\n",
"plt.plot(samples_0)\n",
"plt.title('configuration sampling')\n",
"plt.xlabel('$t$'); plt.ylabel('$x_t$')\n",
"plt.figure()\n",
"plt.hist(samples_0, bins=50);\n",
"plt.yticks([]); plt.xlabel('$x$'); plt.ylabel('$p(x)$')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Define locally penalized loss function\n",
"\n",
"* try to make `EXP(params_0 -> params_star)` close to a free energy `label`\n",
"* try to keep `ESS(running_mixture -> params_star)` above some threshold\n",
"* keep `params_star` in some physically reasonable range (defined by `log_prior` above)\n",
"* in each local optimization step, also try to keep `params_star` close to `most_recent_params` (analogous to a step size in SGD)\n",
"\n",
"\n",
"TODO[future refinements]\n",
"* Use e.g. a bootstrapping estimate of the RW uncertainty, in place of an ad hoc penalty defined in terms of ESS"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"def EXP(works):\n",
" return -(logsumexp(-works) - jnp.log(len(works)))\n",
"\n",
"\n",
"def ESS(works):\n",
" log_weights = -works\n",
" log_weights -= logsumexp(log_weights) # sum to 1\n",
" weights = jnp.exp(log_weights)\n",
" return 1.0 / jnp.sum(weights**2)\n",
"\n",
"\n",
"@jit\n",
"def compute_penalized_loss(trial_params, prev_params, label, x_n, log_q_ref_n, ess_threshold=500, ess_penalty_k=10.0, parameter_penalty_k=10.0):\n",
" \"\"\"\n",
" basic loss: (pred(trial_params) - label)^2\n",
" \n",
" x_n : samples\n",
" log_q_ref_n : log boltzmann weights\n",
"\n",
" ess_threshold : float > 1\n",
" ess_penalty_k : float >= 0.0\n",
" controls strength of ESS penalty\n",
" \n",
" parameter_penalty_k : float >= 0\n",
" controls strength of parameter displacement penalty\n",
" \n",
" \"\"\"\n",
" log_importance_weights = vmap(partial(log_q_fxn, params=trial_params))(x_n) - log_q_ref_n\n",
" works = -log_importance_weights\n",
"\n",
" # compute loss and penalties\n",
" prediction = EXP(works)\n",
" squared_error = (prediction - label)**2\n",
"\n",
" ess = ESS(works)\n",
" ess_penalty = ess_penalty_k * jnp.where(ess < ess_threshold, (ess - ess_threshold)**2, 0.0)\n",
"\n",
" parameter_penalty = parameter_penalty_k * jnp.sum((trial_params - prev_params)**2)\n",
"\n",
" # TODO: consider integrating bootstrap estimate of reweighting uncertainty...\n",
"\n",
" return squared_error + ess_penalty - log_prior(trial_params) + parameter_penalty"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Utility for applying scipy.optimize.minimize to jax functions"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"def wrap_for_scipy_optimize(loss):\n",
" \"\"\"given a jax-transformable `loss` fxn, provide a scipy.optimize compatible value and grad fxn\"\"\"\n",
"\n",
" vg = jit(value_and_grad(loss))\n",
"\n",
" def fun(x):\n",
" v, g = vg(x)\n",
" return float(v), np.array(g, dtype=np.float64)\n",
"\n",
" return fun"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"BFGS\n",
" message: Optimization terminated successfully.\n",
" success: True\n",
" status: 0\n",
" fun: 1.7155459676026523\n",
" x: [ 1.127e+00 9.118e-01 1.081e+00 1.005e+01]\n",
" nit: 27\n",
" jac: [-1.278e-07 -6.116e-09 -7.854e-10 7.563e-10]\n",
" hess_inv: [[ 1.005e-04 -2.023e-03 -3.894e-04 2.129e-04]\n",
" [-2.023e-03 4.212e-02 2.490e-03 1.227e-03]\n",
" [-3.894e-04 2.490e-03 4.336e-02 -1.163e-03]\n",
" [ 2.129e-04 1.227e-03 -1.163e-03 4.473e-02]]\n",
" nfev: 111\n",
" njev: 111\n",
"TNC\n",
" message: Max. number of function evaluations reached\n",
" success: False\n",
" status: 3\n",
" fun: 1.715564061103871\n",
" x: [ 1.127e+00 9.116e-01 1.080e+00 1.005e+01]\n",
" nit: 6\n",
" jac: [-1.118e+01 -5.392e-01 -7.749e-02 7.409e-02]\n",
" nfev: 101\n",
"L-BFGS-B\n",
" message: CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH\n",
" success: True\n",
" status: 0\n",
" fun: 1.8849334883478346\n",
" x: [ 1.123e+00 9.930e-01 1.007e+00 1.001e+01]\n",
" nit: 6\n",
" jac: [-1.310e+01 1.503e+00 -1.921e+00 -8.686e-01]\n",
" nfev: 87\n",
" njev: 87\n",
" hess_inv: <4x4 LbfgsInvHessProduct with dtype=float64>\n"
]
}
],
"source": [
"# apply local optimization method\n",
"\n",
"local_loss_fxn = wrap_for_scipy_optimize(partial(compute_penalized_loss, prev_params=params_0, label=+2.0, x_n=ref_samples, log_q_ref_n=log_q_ref_on_samples))\n",
"\n",
"for local_optimization_method in ['BFGS', 'TNC', 'L-BFGS-B']:\n",
" print(local_optimization_method)\n",
" result = minimize(local_loss_fxn, params_0, jac=True, method=local_optimization_method)\n",
" print(result)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Utilities for collecting samples at new values of the parameters and integrating them into future estimates"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"from pymbar import MBAR\n",
"from timemachine.fe.reweighting import interpret_as_mixture_potential\n",
"\n",
"\n",
"def generate_samples(params):\n",
" return simulate_trajectory(partial(log_q_fxn, params=params), 1.0)[::10][1:]\n",
"\n",
"\n",
"def compute_u_kn(params_list, samples_list):\n",
" N_k = [len(s) for s in samples_list]\n",
" assert len(N_k) == len(params_list)\n",
" concat_samples = np.hstack(samples_list)\n",
" log_q_kn = np.array([\n",
" vmap(partial(log_q_fxn, params=theta_k))(concat_samples) for theta_k in params_list\n",
" ])\n",
" u_kn = -log_q_kn\n",
" return u_kn\n",
"\n",
"\n",
"\n",
"def mbar_dG_params(params_list):\n",
" \"\"\"generate samples according to each parameter set, then analyze with MBAR\"\"\"\n",
" assert len(params_list) > 1\n",
"\n",
" samples_list = [generate_samples(theta_k) for theta_k in params_list]\n",
" # TODO: append to a samples_list instead of generating from scratch\n",
"\n",
" u_kn = compute_u_kn(params_list, samples_list)\n",
" N_k = [len(s) for s in samples_list]\n",
"\n",
" mbar = MBAR(u_kn, N_k)\n",
" \n",
" # compare to some arbitrary threshold\n",
" scalar_overlap = mbar.computeOverlap()['scalar']\n",
" if scalar_overlap < 0.25:\n",
" print(f\"warning: scalar overlap ({scalar_overlap:.3f}) is getting low...\")\n",
" assert scalar_overlap > 0.05, \"yikes yikes yikes\"\n",
"\n",
" return mbar, samples_list\n",
"\n",
"\n",
"# TODO: just put these free functions in a class... (motivation: support incremental addition to (samples_list, u_kn))\n",
"\n",
"\n",
"def construct_mixture(params_list):\n",
" \"\"\"note: shares the same normalization constant as params_list[0] by construction\"\"\"\n",
"\n",
" K = len(params_list)\n",
" print(f\"generating samples and combining into {K}-component mixture...\")\n",
" \n",
" if K == 1:\n",
"\n",
" concat_samples_n = generate_samples(params_list[0])\n",
" mixture_u_n = -vmap(partial(log_q_fxn, params=params_list[0]))(concat_samples_n)\n",
"\n",
" else:\n",
"\n",
" mbar, samples_list = mbar_dG_params(params_list)\n",
"\n",
" concat_samples_n = np.hstack(samples_list)\n",
" mixture_u_n = interpret_as_mixture_potential(mbar.u_kn, mbar.f_k, mbar.N_k)\n",
"\n",
" return concat_samples_n, mixture_u_n"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(array([0. , 0.71399139]), 0.7168560453614998)"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# example: take the result of the previous optimization\n",
"\n",
"params_list = [params_0, result.x]\n",
"mbar, samples_list = mbar_dG_params(params_list)\n",
"\n",
"mbar.f_k, mbar.computeOverlap()['scalar']"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"def global_local_optimizer(params_0, label, outer_loop_iterations=20, local_optimization_method='TNC'):\n",
" \"\"\"in each outer loop iteration:\n",
" * generate new samples\n",
" * construct a new locally penalized loss function in terms of these samples , and solve it using any scipy.optimize method\n",
" \"\"\"\n",
"\n",
" all_params = [params_0]\n",
" local_opt_results = []\n",
"\n",
" for i in range(outer_loop_iterations):\n",
"\n",
" ###### actual method ######\n",
"\n",
" # construct local loss fxn\n",
" x_mix_n, u_mix_n = construct_mixture(all_params)\n",
" # TODO[waste reduction]: avoid regenerating fresh samples for all previous states...\n",
" # TODO[safety]: figure out how to prevent scalar overlap of mixture from going to 0 in limit of outer_loop_iterations -> infty\n",
" local_loss_fxn = partial(compute_penalized_loss, prev_params=all_params[-1], label=label, x_n=x_mix_n, log_q_ref_n=(-u_mix_n))\n",
" \n",
" # optimize it\n",
" opt_result = minimize(wrap_for_scipy_optimize(local_loss_fxn), all_params[-1], jac=True, method=local_optimization_method)\n",
" new_params = opt_result.x\n",
"\n",
" ###### logging and stuff ######\n",
"\n",
" # works from mixture to u_0, u_new\n",
" u_0_n = -vmap(partial(log_q_fxn, params=params_0))(x_mix_n)\n",
" u_new_n = -vmap(partial(log_q_fxn, params=new_params))(x_mix_n)\n",
" works_from_mix_to_params_0 = u_0_n - u_mix_n\n",
" works_from_mix_to_new_params = u_new_n - u_mix_n\n",
"\n",
" # RW estimates of free energy difference between mixture and u_0, u_new\n",
" df_0 = EXP(works_from_mix_to_params_0)\n",
" df_new = EXP(works_from_mix_to_new_params)\n",
" pred_df = df_new - df_0\n",
"\n",
" np.testing.assert_almost_equal(df_0, 0.0) # TODO: earlier (in compute_penalized_loss), I assume df_0 = 0.0 -- can relax that assumption, or assert it here\n",
"\n",
" # print progress\n",
" print(f\"iteration {i}: pred_df = {pred_df:.3f} (df_0 = {df_0:.3f}, df_new = {df_new:.3f})\")\n",
" print(f\"\\tnew_params = {new_params}\")\n",
"\n",
" # append to trajs\n",
" local_opt_results.append(opt_result)\n",
" all_params.append(new_params)\n",
" \n",
" return all_params, local_opt_results"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"generating samples and combining into 1-component mixture...\n",
"iteration 0: pred_df = 0.812 (df_0 = -0.000, df_new = 0.812)\n",
"\tnew_params = [ 1.12660748 0.91084077 1.08137826 10.04714058]\n",
"generating samples and combining into 2-component mixture...\n",
"iteration 1: pred_df = 1.718 (df_0 = -0.000, df_new = 1.718)\n",
"\tnew_params = [ 1.28095869 0.9045185 1.09138716 10.05556284]\n",
"generating samples and combining into 3-component mixture...\n",
"iteration 2: pred_df = 1.899 (df_0 = -0.000, df_new = 1.899)\n",
"\tnew_params = [ 1.31276341 0.90806156 1.08849391 10.05530676]\n",
"generating samples and combining into 4-component mixture...\n",
"iteration 3: pred_df = 1.944 (df_0 = -0.000, df_new = 1.944)\n",
"\tnew_params = [ 1.31797658 0.91361436 1.08305065 10.0529656 ]\n",
"generating samples and combining into 5-component mixture...\n",
"iteration 4: pred_df = 1.960 (df_0 = -0.000, df_new = 1.960)\n",
"\tnew_params = [ 1.31360773 0.91945277 1.07710265 10.05005352]\n",
"generating samples and combining into 6-component mixture...\n",
"iteration 5: pred_df = 1.962 (df_0 = -0.000, df_new = 1.962)\n",
"\tnew_params = [ 1.30861003 0.9249 1.07154905 10.04726962]\n",
"generating samples and combining into 7-component mixture...\n",
"iteration 6: pred_df = 1.934 (df_0 = -0.000, df_new = 1.934)\n",
"\tnew_params = [ 1.32174568 0.9285061 1.06824135 10.04607952]\n",
"generating samples and combining into 8-component mixture...\n",
"iteration 7: pred_df = 1.950 (df_0 = -0.000, df_new = 1.950)\n",
"\tnew_params = [ 1.3225805 0.93245782 1.0642481 10.04428893]\n",
"generating samples and combining into 9-component mixture...\n",
"iteration 8: pred_df = 1.946 (df_0 = -0.000, df_new = 1.946)\n",
"\tnew_params = [ 1.32633885 0.93583618 1.06088214 10.04285695]\n",
"generating samples and combining into 10-component mixture...\n",
"iteration 9: pred_df = 1.960 (df_0 = -0.000, df_new = 1.960)\n",
"\tnew_params = [ 1.32064432 0.93964973 1.056904 10.04084737]\n",
"generating samples and combining into 11-component mixture...\n",
"iteration 10: pred_df = 1.945 (df_0 = -0.000, df_new = 1.945)\n",
"\tnew_params = [ 1.32434493 0.94227207 1.05426745 10.03977195]\n",
"generating samples and combining into 12-component mixture...\n",
"iteration 11: pred_df = 1.944 (df_0 = -0.000, df_new = 1.944)\n",
"\tnew_params = [ 1.32786348 0.94461255 1.05189643 10.03883102]\n",
"generating samples and combining into 13-component mixture...\n",
"iteration 12: pred_df = 1.944 (df_0 = -0.000, df_new = 1.944)\n",
"\tnew_params = [ 1.3314992 0.94672739 1.04977112 10.03802605]\n",
"generating samples and combining into 14-component mixture...\n",
"iteration 13: pred_df = 1.954 (df_0 = -0.000, df_new = 1.954)\n",
"\tnew_params = [ 1.32956963 0.94919702 1.04721879 10.03679521]\n",
"generating samples and combining into 15-component mixture...\n",
"iteration 14: pred_df = 1.963 (df_0 = -0.000, df_new = 1.963)\n",
"\tnew_params = [ 1.32162044 0.95186398 1.0443432 10.03523924]\n",
"generating samples and combining into 16-component mixture...\n",
"iteration 15: pred_df = 1.959 (df_0 = -0.000, df_new = 1.959)\n",
"\tnew_params = [ 1.3173899 0.95411575 1.04199253 10.0340008 ]\n",
"generating samples and combining into 17-component mixture...\n",
"iteration 16: pred_df = 1.928 (df_0 = -0.000, df_new = 1.928)\n",
"\tnew_params = [ 1.33185616 0.95458088 1.04175654 10.03439341]\n",
"generating samples and combining into 18-component mixture...\n",
"iteration 17: pred_df = 1.963 (df_0 = -0.000, df_new = 1.963)\n",
"\tnew_params = [ 1.32464186 0.95680853 1.0393754 10.03304622]\n",
"generating samples and combining into 19-component mixture...\n",
"iteration 18: pred_df = 1.946 (df_0 = -0.000, df_new = 1.946)\n",
"\tnew_params = [ 1.32787859 0.95795724 1.03825335 10.03262823]\n",
"generating samples and combining into 20-component mixture...\n",
"iteration 19: pred_df = 1.958 (df_0 = -0.000, df_new = 1.958)\n",
"\tnew_params = [ 1.32350857 0.95958321 1.03651475 10.03169332]\n"
]
}
],
"source": [
"label = +2.0\n",
"param_traj, local_opt_results = global_local_optimizer(params_0, label)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(4.3114274199636755, 6.243046469922563)"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# validation: compute the actual `-log_Z(params)` using numerical quadrature, and check whether it gets close to the intended label\n",
"\n",
"\n",
"def estimate_ground_truth_free_energy(params):\n",
" \"\"\"compute -log_Z(params) using numerical quadrature\"\"\"\n",
"\n",
" x_grid = np.linspace(0, 10.0, 100_000)[1:] # `[1:]`` to avoid evaluating fxn at LJ/ES singularity at x == 0\n",
" log_q_grid = vmap(partial(log_q_fxn, params=params))(x_grid)\n",
" q_grid = np.exp(log_q_grid)\n",
" Z = np.trapz(q_grid, x_grid)\n",
" return - np.log(Z)\n",
"\n",
"estimate_ground_truth_free_energy(params_0), estimate_ground_truth_free_energy(param_traj[-1])"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"def plot_dashboard(param_traj, local_opt_results, label):\n",
" plt.figure(figsize=(12,12))\n",
"\n",
" # parameter traj\n",
" plt.subplot(2,2,1)\n",
" plt.plot(np.array(param_traj))\n",
" plt.xlabel('outer loop iteration');\n",
" plt.ylabel('parameters')\n",
" plt.title('parameter traj')\n",
"\n",
" # local cost fn\n",
" plt.subplot(2,2,2)\n",
" plt.plot([opt_result.fun for opt_result in local_opt_results])\n",
" plt.ylim(0,)\n",
" plt.xlabel('outer loop iteration $i$')\n",
" plt.ylabel('local_cost_fn(theta_traj[i]; theta_traj[<i])')\n",
" plt.title('local penalized loss')\n",
"\n",
" # exact loss\n",
" plt.subplot(2,2,3)\n",
" plt.title('free energy')\n",
" fs = np.array([estimate_ground_truth_free_energy(params) for params in param_traj])\n",
" pred_dfs = fs - fs[0]\n",
" print(pred_dfs, label)\n",
"\n",
" # so, continually getting closer to the target\n",
"\n",
" # TODO: include reweighting prediction as well?\n",
" plt.plot(pred_dfs, label='exact df(theta_i)')\n",
" plt.xlabel('iteration i')\n",
" plt.ylabel('df')\n",
" plt.hlines(label, 0, len(pred_dfs), colors='grey', linestyles='--', label='label value')\n",
"\n",
" plt.legend()\n",
"\n",
" # samples\n",
" plt.subplot(2,2,4)\n",
" samples_list = [generate_samples(theta) for theta in param_traj]\n",
" # TODO: sequential color\n",
" for i, s in enumerate(samples_list):\n",
" plt.hist(s, bins=50, density=True, alpha=0.3, label=f'i={i}')\n",
" plt.legend()"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[0. 0.7985343 1.73570072 1.93798076 1.96426579 1.92652224\n",
" 1.88526608 1.96704642 1.96666739 1.98670698 1.94285325 1.96359057\n",
" 1.98360754 2.00485303 1.98812046 1.93074636 1.89907678 1.99535416\n",
" 1.94345893 1.96343214 1.93161905] 2.0\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1200x1200 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# okay, so that's decently informative\n",
"plot_dashboard(param_traj, local_opt_results, label)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### Run it a few times with different labels"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"generating samples and combining into 1-component mixture...\n",
"iteration 0: pred_df = 1.754 (df_0 = -0.000, df_new = 1.754)\n",
"\tnew_params = [ 1.15047764 0.53509946 1.69365732 10.36262415]\n",
"generating samples and combining into 2-component mixture...\n",
"iteration 1: pred_df = 3.630 (df_0 = -0.000, df_new = 3.630)\n",
"\tnew_params = [ 1.40587429 0.22649344 2.04916209 10.6144222 ]\n",
"generating samples and combining into 3-component mixture...\n",
"iteration 2: pred_df = 5.351 (df_0 = -0.000, df_new = 5.351)\n",
"\tnew_params = [ 1.66685586 0.1406582 2.19585693 10.78297113]\n",
"generating samples and combining into 4-component mixture...\n",
"iteration 3: pred_df = 7.118 (df_0 = -0.000, df_new = 7.118)\n",
"\tnew_params = [ 1.87793914 0.13639236 2.23636612 10.95975788]\n",
"generating samples and combining into 5-component mixture...\n",
"warning: scalar overlap (0.243) is getting low...\n",
"iteration 4: pred_df = 8.562 (df_0 = -0.000, df_new = 8.562)\n",
"\tnew_params = [ 2.04493106 0.16905237 2.18930044 11.00903902]\n",
"generating samples and combining into 6-component mixture...\n",
"warning: scalar overlap (0.175) is getting low...\n",
"iteration 5: pred_df = 9.790 (df_0 = -0.000, df_new = 9.790)\n",
"\tnew_params = [ 2.13373174 0.30037023 2.08865258 10.93716607]\n",
"generating samples and combining into 7-component mixture...\n",
"warning: scalar overlap (0.129) is getting low...\n",
"iteration 6: pred_df = 9.896 (df_0 = -0.000, df_new = 9.896)\n",
"\tnew_params = [ 2.12286229 0.38274683 1.99245902 10.86205414]\n",
"generating samples and combining into 8-component mixture...\n",
"warning: scalar overlap (0.113) is getting low...\n",
"iteration 7: pred_df = 9.871 (df_0 = -0.000, df_new = 9.871)\n",
"\tnew_params = [ 2.13925726 0.45684144 1.9061228 10.79659788]\n",
"generating samples and combining into 9-component mixture...\n",
"warning: scalar overlap (0.098) is getting low...\n",
"iteration 8: pred_df = 9.887 (df_0 = -0.000, df_new = 9.887)\n",
"\tnew_params = [ 2.14279565 0.51915396 1.82696793 10.73562779]\n",
"generating samples and combining into 10-component mixture...\n",
"warning: scalar overlap (0.086) is getting low...\n",
"iteration 9: pred_df = 9.911 (df_0 = -0.000, df_new = 9.911)\n",
"\tnew_params = [ 2.1225993 0.5707309 1.75406225 10.67778054]\n",
"generating samples and combining into 11-component mixture...\n",
"warning: scalar overlap (0.083) is getting low...\n",
"iteration 10: pred_df = 9.870 (df_0 = -0.000, df_new = 9.870)\n",
"\tnew_params = [ 2.14316189 0.61942034 1.68950807 10.6296053 ]\n",
"generating samples and combining into 12-component mixture...\n",
"warning: scalar overlap (0.075) is getting low...\n",
"iteration 11: pred_df = 9.895 (df_0 = -0.000, df_new = 9.895)\n",
"\tnew_params = [ 2.14015096 0.66082897 1.62981688 10.58327084]\n",
"generating samples and combining into 13-component mixture...\n",
"warning: scalar overlap (0.074) is getting low...\n",
"iteration 12: pred_df = 9.885 (df_0 = -0.000, df_new = 9.885)\n",
"\tnew_params = [ 2.14762063 0.69816544 1.5759931 10.54229417]\n",
"generating samples and combining into 14-component mixture...\n",
"warning: scalar overlap (0.072) is getting low...\n",
"iteration 13: pred_df = 9.874 (df_0 = -0.000, df_new = 9.874)\n",
"\tnew_params = [ 2.16613741 0.73200198 1.52752461 10.50649989]\n",
"generating samples and combining into 15-component mixture...\n",
"warning: scalar overlap (0.068) is getting low...\n",
"iteration 14: pred_df = 9.904 (df_0 = -0.000, df_new = 9.904)\n",
"\tnew_params = [ 2.15230739 0.76030017 1.48225566 10.47067653]\n",
"generating samples and combining into 16-component mixture...\n",
"warning: scalar overlap (0.066) is getting low...\n",
"iteration 15: pred_df = 9.885 (df_0 = -0.000, df_new = 9.885)\n",
"\tnew_params = [ 2.16032064 0.78653069 1.44194711 10.44031391]\n",
"generating samples and combining into 17-component mixture...\n",
"warning: scalar overlap (0.063) is getting low...\n",
"iteration 16: pred_df = 9.898 (df_0 = -0.000, df_new = 9.898)\n",
"\tnew_params = [ 2.154525 0.80934553 1.40478319 10.41126196]\n",
"generating samples and combining into 18-component mixture...\n",
"warning: scalar overlap (0.061) is getting low...\n",
"iteration 17: pred_df = 9.891 (df_0 = -0.000, df_new = 9.891)\n",
"\tnew_params = [ 2.15675792 0.82998809 1.37132314 10.38567864]\n",
"generating samples and combining into 19-component mixture...\n",
"warning: scalar overlap (0.060) is getting low...\n",
"iteration 18: pred_df = 9.889 (df_0 = -0.000, df_new = 9.889)\n",
"\tnew_params = [ 2.16085651 0.84848697 1.34099951 10.36267714]\n",
"generating samples and combining into 20-component mixture...\n",
"warning: scalar overlap (0.059) is getting low...\n",
"iteration 19: pred_df = 9.889 (df_0 = -0.000, df_new = 9.889)\n",
"\tnew_params = [ 2.16414441 0.86499318 1.31343538 10.3418139 ]\n",
"generating samples and combining into 1-component mixture...\n",
"iteration 0: pred_df = 1.218 (df_0 = -0.000, df_new = 1.218)\n",
"\tnew_params = [ 1.13298835 0.71008197 1.26339338 10.14873826]\n",
"generating samples and combining into 2-component mixture...\n",
"iteration 1: pred_df = 2.589 (df_0 = -0.000, df_new = 2.589)\n",
"\tnew_params = [ 1.3276499 0.55296704 1.39870966 10.25876817]\n",
"generating samples and combining into 3-component mixture...\n",
"iteration 2: pred_df = 3.955 (df_0 = -0.000, df_new = 3.955)\n",
"\tnew_params = [ 1.50869859 0.52346756 1.41897691 10.30315535]\n",
"generating samples and combining into 4-component mixture...\n",
"iteration 3: pred_df = 4.773 (df_0 = -0.000, df_new = 4.773)\n",
"\tnew_params = [ 1.62913053 0.56915578 1.39196545 10.29029335]\n",
"generating samples and combining into 5-component mixture...\n",
"warning: scalar overlap (0.247) is getting low...\n",
"iteration 4: pred_df = 4.884 (df_0 = -0.000, df_new = 4.884)\n",
"\tnew_params = [ 1.65479841 0.60853916 1.36127513 10.27175298]\n",
"generating samples and combining into 6-component mixture...\n",
"warning: scalar overlap (0.214) is getting low...\n",
"iteration 5: pred_df = 4.902 (df_0 = -0.000, df_new = 4.902)\n",
"\tnew_params = [ 1.66988646 0.64441319 1.33239812 10.25374334]\n",
"generating samples and combining into 7-component mixture...\n",
"warning: scalar overlap (0.190) is getting low...\n",
"iteration 6: pred_df = 4.905 (df_0 = -0.000, df_new = 4.905)\n",
"\tnew_params = [ 1.68014108 0.67643644 1.30597032 10.23731105]\n",
"generating samples and combining into 8-component mixture...\n",
"warning: scalar overlap (0.164) is getting low...\n",
"iteration 7: pred_df = 4.938 (df_0 = -0.000, df_new = 4.938)\n",
"\tnew_params = [ 1.66367129 0.70521549 1.28023952 10.21997418]\n",
"generating samples and combining into 9-component mixture...\n",
"warning: scalar overlap (0.156) is getting low...\n",
"iteration 8: pred_df = 4.916 (df_0 = -0.000, df_new = 4.916)\n",
"\tnew_params = [ 1.66602702 0.7310087 1.25801461 10.20572978]\n",
"generating samples and combining into 10-component mixture...\n",
"warning: scalar overlap (0.154) is getting low...\n",
"iteration 9: pred_df = 4.912 (df_0 = -0.000, df_new = 4.912)\n",
"\tnew_params = [ 1.67401663 0.7544606 1.2380579 10.19317142]\n",
"generating samples and combining into 11-component mixture...\n",
"warning: scalar overlap (0.141) is getting low...\n",
"iteration 10: pred_df = 4.925 (df_0 = -0.000, df_new = 4.925)\n",
"\tnew_params = [ 1.66901475 0.7755023 1.21922839 10.18081846]\n",
"generating samples and combining into 12-component mixture...\n",
"warning: scalar overlap (0.142) is getting low...\n",
"iteration 11: pred_df = 4.900 (df_0 = -0.000, df_new = 4.900)\n",
"\tnew_params = [ 1.68342082 0.79405079 1.20338974 10.17143163]\n",
"generating samples and combining into 13-component mixture...\n",
"warning: scalar overlap (0.140) is getting low...\n",
"iteration 12: pred_df = 4.912 (df_0 = -0.000, df_new = 4.912)\n",
"\tnew_params = [ 1.68827481 0.81106681 1.18838224 10.16213194]\n",
"generating samples and combining into 14-component mixture...\n",
"warning: scalar overlap (0.137) is getting low...\n",
"iteration 13: pred_df = 4.919 (df_0 = -0.000, df_new = 4.919)\n",
"\tnew_params = [ 1.68725934 0.82658664 1.17435949 10.15313564]\n",
"generating samples and combining into 15-component mixture...\n",
"warning: scalar overlap (0.132) is getting low...\n",
"iteration 14: pred_df = 4.922 (df_0 = -0.000, df_new = 4.922)\n",
"\tnew_params = [ 1.68444012 0.84058948 1.1615135 10.14479518]\n",
"generating samples and combining into 16-component mixture...\n",
"warning: scalar overlap (0.126) is getting low...\n",
"iteration 15: pred_df = 4.929 (df_0 = -0.000, df_new = 4.929)\n",
"\tnew_params = [ 1.67731123 0.8534861 1.14946956 10.13661374]\n",
"generating samples and combining into 17-component mixture...\n",
"warning: scalar overlap (0.127) is getting low...\n",
"iteration 16: pred_df = 4.918 (df_0 = -0.000, df_new = 4.918)\n",
"\tnew_params = [ 1.6780542 0.86480612 1.13907538 10.12996247]\n",
"generating samples and combining into 18-component mixture...\n",
"warning: scalar overlap (0.130) is getting low...\n",
"iteration 17: pred_df = 4.903 (df_0 = -0.000, df_new = 4.903)\n",
"\tnew_params = [ 1.69239294 0.87482961 1.13041086 10.12511948]\n",
"generating samples and combining into 19-component mixture...\n",
"warning: scalar overlap (0.133) is getting low...\n",
"iteration 18: pred_df = 4.904 (df_0 = -0.000, df_new = 4.904)\n",
"\tnew_params = [ 1.70435938 0.88391618 1.12245679 10.12075817]\n",
"generating samples and combining into 20-component mixture...\n",
"warning: scalar overlap (0.127) is getting low...\n",
"iteration 19: pred_df = 4.927 (df_0 = -0.000, df_new = 4.927)\n",
"\tnew_params = [ 1.69682269 0.8926449 1.11403869 10.11502594]\n",
"generating samples and combining into 1-component mixture...\n",
"iteration 0: pred_df = 0.796 (df_0 = -0.000, df_new = 0.796)\n",
"\tnew_params = [ 1.12703838 0.91091651 1.0820804 10.04816115]\n",
"generating samples and combining into 2-component mixture...\n",
"iteration 1: pred_df = 1.719 (df_0 = -0.000, df_new = 1.719)\n",
"\tnew_params = [ 1.27899779 0.9046832 1.09196193 10.05642408]\n",
"generating samples and combining into 3-component mixture...\n",
"iteration 2: pred_df = 1.895 (df_0 = -0.000, df_new = 1.895)\n",
"\tnew_params = [ 1.31583404 0.90812399 1.08927389 10.05625252]\n",
"generating samples and combining into 4-component mixture...\n",
"iteration 3: pred_df = 1.957 (df_0 = -0.000, df_new = 1.957)\n",
"\tnew_params = [ 1.31243853 0.9142394 1.08294147 10.05317169]\n",
"generating samples and combining into 5-component mixture...\n",
"iteration 4: pred_df = 1.946 (df_0 = -0.000, df_new = 1.946)\n",
"\tnew_params = [ 1.31698606 0.91933455 1.0778824 10.05091645]\n",
"generating samples and combining into 6-component mixture...\n",
"iteration 5: pred_df = 1.948 (df_0 = -0.000, df_new = 1.948)\n",
"\tnew_params = [ 1.31897832 0.92404371 1.07311517 10.04875306]\n",
"generating samples and combining into 7-component mixture...\n",
"iteration 6: pred_df = 1.935 (df_0 = -0.000, df_new = 1.935)\n",
"\tnew_params = [ 1.32943573 0.92764038 1.06961859 10.04744756]\n",
"generating samples and combining into 8-component mixture...\n",
"iteration 7: pred_df = 1.968 (df_0 = -0.000, df_new = 1.968)\n",
"\tnew_params = [ 1.31901834 0.93263355 1.06433951 10.04463716]\n",
"generating samples and combining into 9-component mixture...\n",
"iteration 8: pred_df = 1.940 (df_0 = -0.000, df_new = 1.940)\n",
"\tnew_params = [ 1.32569369 0.93566402 1.06132767 10.04346366]\n",
"generating samples and combining into 10-component mixture...\n",
"iteration 9: pred_df = 1.935 (df_0 = -0.000, df_new = 1.935)\n",
"\tnew_params = [ 1.33578406 0.93821889 1.05887882 10.04265429]\n",
"generating samples and combining into 11-component mixture...\n",
"iteration 10: pred_df = 1.957 (df_0 = -0.000, df_new = 1.957)\n",
"\tnew_params = [ 1.33133393 0.94163532 1.0552861 10.0408585 ]\n",
"generating samples and combining into 12-component mixture...\n",
"iteration 11: pred_df = 1.964 (df_0 = -0.000, df_new = 1.964)\n",
"\tnew_params = [ 1.32330557 0.94510479 1.05159664 10.038871 ]\n",
"generating samples and combining into 13-component mixture...\n",
"iteration 12: pred_df = 1.963 (df_0 = -0.000, df_new = 1.963)\n",
"\tnew_params = [ 1.31720961 0.94820709 1.04833927 10.03710675]\n",
"generating samples and combining into 14-component mixture...\n",
"iteration 13: pred_df = 1.941 (df_0 = -0.000, df_new = 1.941)\n",
"\tnew_params = [ 1.32439767 0.949898 1.04673384 10.0365585 ]\n",
"generating samples and combining into 15-component mixture...\n",
"iteration 14: pred_df = 1.973 (df_0 = -0.000, df_new = 1.973)\n",
"\tnew_params = [ 1.31138743 0.95302618 1.04328769 10.03452274]\n",
"generating samples and combining into 16-component mixture...\n",
"iteration 15: pred_df = 1.931 (df_0 = -0.000, df_new = 1.931)\n",
"\tnew_params = [ 1.32487923 0.95373748 1.04277557 10.03469177]\n",
"generating samples and combining into 17-component mixture...\n",
"iteration 16: pred_df = 1.938 (df_0 = -0.000, df_new = 1.938)\n",
"\tnew_params = [ 1.33319962 0.95479614 1.04184001 10.03455296]\n",
"generating samples and combining into 18-component mixture...\n",
"iteration 17: pred_df = 1.964 (df_0 = -0.000, df_new = 1.964)\n",
"\tnew_params = [ 1.32496742 0.95709457 1.03934184 10.03310443]\n",
"generating samples and combining into 19-component mixture...\n",
"iteration 18: pred_df = 1.952 (df_0 = -0.000, df_new = 1.952)\n",
"\tnew_params = [ 1.32412838 0.95852231 1.03783978 10.03238088]\n",
"generating samples and combining into 20-component mixture...\n",
"iteration 19: pred_df = 1.949 (df_0 = -0.000, df_new = 1.949)\n",
"\tnew_params = [ 1.32513652 0.95962649 1.03668188 10.03188368]\n",
"generating samples and combining into 1-component mixture...\n",
"iteration 0: pred_df = 0.725 (df_0 = -0.000, df_new = 0.725)\n",
"\tnew_params = [ 1.11860508 0.98185361 1.01901966 10.00997957]\n",
"generating samples and combining into 2-component mixture...\n",
"iteration 1: pred_df = 0.902 (df_0 = -0.000, df_new = 0.902)\n",
"\tnew_params = [ 1.16238874 0.97786203 1.02333676 10.01282024]\n",
"generating samples and combining into 3-component mixture...\n",
"iteration 2: pred_df = 0.954 (df_0 = -0.000, df_new = 0.954)\n",
"\tnew_params = [ 1.17297712 0.97723545 1.023538 10.01346068]\n",
"generating samples and combining into 4-component mixture...\n",
"iteration 3: pred_df = 0.972 (df_0 = -0.000, df_new = 0.972)\n",
"\tnew_params = [ 1.17263494 0.97769314 1.02245669 10.01334424]\n",
"generating samples and combining into 5-component mixture...\n",
"iteration 4: pred_df = 0.959 (df_0 = -0.000, df_new = 0.959)\n",
"\tnew_params = [ 1.17851718 0.9773572 1.02234896 10.01376042]\n",
"generating samples and combining into 6-component mixture...\n",
"iteration 5: pred_df = 0.969 (df_0 = -0.000, df_new = 0.969)\n",
"\tnew_params = [ 1.17896049 0.97763417 1.02156763 10.01375001]\n",
"generating samples and combining into 7-component mixture...\n",
"iteration 6: pred_df = 0.976 (df_0 = -0.000, df_new = 0.976)\n",
"\tnew_params = [ 1.17542962 0.97829424 1.02034706 10.01343324]\n",
"generating samples and combining into 8-component mixture...\n",
"iteration 7: pred_df = 0.961 (df_0 = -0.000, df_new = 0.961)\n",
"\tnew_params = [ 1.18027833 0.97799307 1.0203142 10.01377045]\n",
"generating samples and combining into 9-component mixture...\n",
"iteration 8: pred_df = 0.974 (df_0 = -0.000, df_new = 0.974)\n",
"\tnew_params = [ 1.17787092 0.9784932 1.01936778 10.01354856]\n",
"generating samples and combining into 10-component mixture...\n",
"iteration 9: pred_df = 0.978 (df_0 = -0.000, df_new = 0.978)\n",
"\tnew_params = [ 1.1733995 0.97919873 1.01820565 10.01316674]\n",
"generating samples and combining into 11-component mixture...\n",
"iteration 10: pred_df = 0.967 (df_0 = -0.000, df_new = 0.967)\n",
"\tnew_params = [ 1.17499865 0.97917221 1.01794394 10.01327778]\n",
"generating samples and combining into 12-component mixture...\n",
"iteration 11: pred_df = 0.971 (df_0 = -0.000, df_new = 0.971)\n",
"\tnew_params = [ 1.17420225 0.97937094 1.01742604 10.01321711]\n",
"generating samples and combining into 13-component mixture...\n",
"iteration 12: pred_df = 0.967 (df_0 = -0.000, df_new = 0.967)\n",
"\tnew_params = [ 1.17618951 0.97934377 1.01724039 10.01332056]\n",
"generating samples and combining into 14-component mixture...\n",
"iteration 13: pred_df = 0.978 (df_0 = -0.000, df_new = 0.978)\n",
"\tnew_params = [ 1.17199205 0.98000014 1.01626015 10.01294919]\n",
"generating samples and combining into 15-component mixture...\n",
"iteration 14: pred_df = 0.972 (df_0 = -0.000, df_new = 0.972)\n",
"\tnew_params = [ 1.17178887 0.98019713 1.01585459 10.01288269]\n",
"generating samples and combining into 16-component mixture...\n",
"iteration 15: pred_df = 0.954 (df_0 = -0.000, df_new = 0.954)\n",
"\tnew_params = [ 1.18041816 0.97934168 1.01668974 10.01353143]\n",
"generating samples and combining into 17-component mixture...\n",
"iteration 16: pred_df = 0.952 (df_0 = -0.000, df_new = 0.952)\n",
"\tnew_params = [ 1.18934816 0.97841246 1.01759965 10.01424739]\n",
"generating samples and combining into 18-component mixture...\n",
"iteration 17: pred_df = 0.990 (df_0 = -0.000, df_new = 0.990)\n",
"\tnew_params = [ 1.17764348 0.97979028 1.01579139 10.01335601]\n",
"generating samples and combining into 19-component mixture...\n",
"iteration 18: pred_df = 0.978 (df_0 = -0.000, df_new = 0.978)\n",
"\tnew_params = [ 1.17294725 0.98036756 1.01496155 10.01299921]\n",
"generating samples and combining into 20-component mixture...\n",
"iteration 19: pred_df = 0.969 (df_0 = -0.000, df_new = 0.969)\n",
"\tnew_params = [ 1.1743 0.98036895 1.01486347 10.01303217]\n",
"generating samples and combining into 1-component mixture...\n",
"iteration 0: pred_df = -0.000 (df_0 = -0.000, df_new = -0.000)\n",
"\tnew_params = [ 1.00011035 0.99998298 0.99911343 10.00000831]\n",
"generating samples and combining into 2-component mixture...\n",
"iteration 1: pred_df = -0.000 (df_0 = -0.000, df_new = -0.000)\n",
"\tnew_params = [ 1.00024934 0.99996008 0.99831758 10.00001972]\n",
"generating samples and combining into 3-component mixture...\n",
"iteration 2: pred_df = -0.000 (df_0 = -0.000, df_new = -0.000)\n",
"\tnew_params = [ 1.00037077 0.99994272 0.99759075 10.00002816]\n",
"generating samples and combining into 4-component mixture...\n",
"iteration 3: pred_df = -0.000 (df_0 = -0.000, df_new = -0.000)\n",
"\tnew_params = [ 1.00049926 0.99992316 0.99693549 10.00003794]\n",
"generating samples and combining into 5-component mixture...\n",
"iteration 4: pred_df = -0.000 (df_0 = -0.000, df_new = -0.000)\n",
"\tnew_params = [ 1.00059716 0.99990956 0.99633507 10.00004462]\n",
"generating samples and combining into 6-component mixture...\n",
"iteration 5: pred_df = -0.000 (df_0 = -0.000, df_new = -0.000)\n",
"\tnew_params = [ 1.00067066 0.99990072 0.99578551 10.00004911]\n",
"generating samples and combining into 7-component mixture...\n",
"iteration 6: pred_df = -0.000 (df_0 = -0.000, df_new = -0.000)\n",
"\tnew_params = [ 1.00074963 0.99989109 0.99528846 10.0000556 ]\n",
"generating samples and combining into 8-component mixture...\n",
"iteration 7: pred_df = -0.000 (df_0 = -0.000, df_new = -0.000)\n",
"\tnew_params = [ 1.00084666 0.99987767 0.99484267 10.00006203]\n",
"generating samples and combining into 9-component mixture...\n",
"iteration 8: pred_df = -0.000 (df_0 = -0.000, df_new = -0.000)\n",
"\tnew_params = [ 1.000938 0.99986427 0.99443912 10.00006843]\n",
"generating samples and combining into 10-component mixture...\n",
"iteration 9: pred_df = -0.000 (df_0 = -0.000, df_new = -0.000)\n",
"\tnew_params = [ 1.00100036 0.99985577 0.99406826 10.00007387]\n",
"generating samples and combining into 11-component mixture...\n",
"iteration 10: pred_df = -0.000 (df_0 = -0.000, df_new = -0.000)\n",
"\tnew_params = [ 1.00105742 0.99984801 0.99373138 10.00007847]\n",
"generating samples and combining into 12-component mixture...\n",
"iteration 11: pred_df = -0.000 (df_0 = -0.000, df_new = -0.000)\n",
"\tnew_params = [ 1.00111929 0.99983915 0.99342754 10.00008025]\n",
"generating samples and combining into 13-component mixture...\n",
"iteration 12: pred_df = -0.000 (df_0 = -0.000, df_new = -0.000)\n",
"\tnew_params = [ 1.00114046 0.99983716 0.99314408 10.00008135]\n",
"generating samples and combining into 14-component mixture...\n",
"iteration 13: pred_df = -0.000 (df_0 = -0.000, df_new = -0.000)\n",
"\tnew_params = [ 1.00117649 0.99983354 0.99288963 10.00007483]\n",
"generating samples and combining into 15-component mixture...\n",
"iteration 14: pred_df = -0.000 (df_0 = -0.000, df_new = -0.000)\n",
"\tnew_params = [ 1.00122953 0.99982651 0.99266266 10.00007906]\n",
"generating samples and combining into 16-component mixture...\n",
"iteration 15: pred_df = -0.000 (df_0 = -0.000, df_new = -0.000)\n",
"\tnew_params = [ 1.00125318 0.9998238 0.99245163 10.00008027]\n",
"generating samples and combining into 17-component mixture...\n",
"iteration 16: pred_df = -0.000 (df_0 = -0.000, df_new = -0.000)\n",
"\tnew_params = [ 1.00128754 0.99981963 0.99226238 10.000083 ]\n",
"generating samples and combining into 18-component mixture...\n",
"iteration 17: pred_df = -0.000 (df_0 = -0.000, df_new = -0.000)\n",
"\tnew_params = [ 1.00132186 0.9998153 0.99209105 10.00008414]\n",
"generating samples and combining into 19-component mixture...\n",
"iteration 18: pred_df = -0.000 (df_0 = -0.000, df_new = -0.000)\n",
"\tnew_params = [ 1.00137988 0.99980658 0.99194141 10.00008904]\n",
"generating samples and combining into 20-component mixture...\n",
"iteration 19: pred_df = -0.000 (df_0 = -0.000, df_new = -0.000)\n",
"\tnew_params = [ 1.00138743 0.99980581 0.99179634 10.00008999]\n",
"generating samples and combining into 1-component mixture...\n",
"iteration 0: pred_df = -0.276 (df_0 = -0.000, df_new = -0.276)\n",
"\tnew_params = [0.94220851 1.00803027 0.98914087 9.99881172]\n",
"generating samples and combining into 2-component mixture...\n",
"iteration 1: pred_df = -0.588 (df_0 = -0.000, df_new = -0.588)\n",
"\tnew_params = [0.87880506 1.03499024 0.95290421 9.98854552]\n",
"generating samples and combining into 3-component mixture...\n",
"iteration 2: pred_df = -0.791 (df_0 = -0.000, df_new = -0.791)\n",
"\tnew_params = [0.83857666 1.04564668 0.93705954 9.98472929]\n",
"generating samples and combining into 4-component mixture...\n",
"iteration 3: pred_df = -0.891 (df_0 = -0.000, df_new = -0.891)\n",
"\tnew_params = [0.81558636 1.04819431 0.93160677 9.9837118 ]\n",
"generating samples and combining into 5-component mixture...\n",
"iteration 4: pred_df = -0.908 (df_0 = -0.000, df_new = -0.908)\n",
"\tnew_params = [0.80474337 1.04948174 0.92821977 9.98317133]\n",
"generating samples and combining into 6-component mixture...\n",
"iteration 5: pred_df = -0.938 (df_0 = -0.000, df_new = -0.938)\n",
"\tnew_params = [0.80159366 1.04878724 0.92791296 9.98335662]\n",
"generating samples and combining into 7-component mixture...\n",
"iteration 6: pred_df = -0.938 (df_0 = -0.000, df_new = -0.938)\n",
"\tnew_params = [0.80087884 1.04818172 0.92769353 9.98353846]\n",
"generating samples and combining into 8-component mixture...\n",
"iteration 7: pred_df = -0.934 (df_0 = -0.000, df_new = -0.934)\n",
"\tnew_params = [0.79878445 1.04785353 0.92709311 9.98360577]\n",
"generating samples and combining into 9-component mixture...\n",
"iteration 8: pred_df = -0.936 (df_0 = -0.000, df_new = -0.936)\n",
"\tnew_params = [0.79606213 1.04736477 0.92672388 9.98372223]\n",
"generating samples and combining into 10-component mixture...\n",
"iteration 9: pred_df = -0.946 (df_0 = -0.000, df_new = -0.946)\n",
"\tnew_params = [0.79719361 1.04636999 0.92732158 9.98403918]\n",
"generating samples and combining into 11-component mixture...\n",
"iteration 10: pred_df = -0.941 (df_0 = 0.000, df_new = -0.941)\n",
"\tnew_params = [0.79756905 1.04574359 0.92745694 9.98422385]\n",
"generating samples and combining into 12-component mixture...\n",
"iteration 11: pred_df = -0.925 (df_0 = -0.000, df_new = -0.925)\n",
"\tnew_params = [0.79323677 1.04611883 0.92601335 9.9840452 ]\n",
"generating samples and combining into 13-component mixture...\n",
"iteration 12: pred_df = -0.943 (df_0 = -0.000, df_new = -0.943)\n",
"\tnew_params = [0.79394981 1.04540603 0.92637909 9.98426862]\n",
"generating samples and combining into 14-component mixture...\n",
"iteration 13: pred_df = -0.943 (df_0 = -0.000, df_new = -0.943)\n",
"\tnew_params = [0.79620624 1.0448074 0.92674326 9.98447077]\n",
"generating samples and combining into 15-component mixture...\n",
"iteration 14: pred_df = -0.933 (df_0 = -0.000, df_new = -0.933)\n",
"\tnew_params = [0.79524238 1.0448718 0.9260917 9.98443854]\n",
"generating samples and combining into 16-component mixture...\n",
"iteration 15: pred_df = -0.943 (df_0 = -0.000, df_new = -0.943)\n",
"\tnew_params = [0.79631997 1.04431547 0.92644189 9.98461896]\n",
"generating samples and combining into 17-component mixture...\n",
"iteration 16: pred_df = -0.946 (df_0 = -0.000, df_new = -0.946)\n",
"\tnew_params = [0.79850009 1.04358168 0.92714385 9.98486132]\n",
"generating samples and combining into 18-component mixture...\n",
"iteration 17: pred_df = -0.932 (df_0 = -0.000, df_new = -0.932)\n",
"\tnew_params = [0.79604936 1.04379496 0.92637094 9.98477146]\n",
"generating samples and combining into 19-component mixture...\n",
"iteration 18: pred_df = -0.948 (df_0 = 0.000, df_new = -0.948)\n",
"\tnew_params = [0.7975111 1.04298701 0.92720299 9.98503432]\n",
"generating samples and combining into 20-component mixture...\n",
"iteration 19: pred_df = -0.943 (df_0 = -0.000, df_new = -0.943)\n",
"\tnew_params = [0.79782533 1.04256042 0.92749515 9.98516269]\n",
"generating samples and combining into 1-component mixture...\n",
"iteration 0: pred_df = -0.404 (df_0 = -0.000, df_new = -0.404)\n",
"\tnew_params = [0.93361771 1.06467229 0.92464166 9.94346064]\n",
"generating samples and combining into 2-component mixture...\n",
"iteration 1: pred_df = -0.712 (df_0 = -0.000, df_new = -0.712)\n",
"\tnew_params = [0.88787567 1.12588995 0.85542977 9.9263532 ]\n",
"generating samples and combining into 3-component mixture...\n",
"iteration 2: pred_df = -0.923 (df_0 = -0.000, df_new = -0.923)\n",
"\tnew_params = [0.839019 1.13523944 0.84483256 9.92628091]\n",
"generating samples and combining into 4-component mixture...\n",
"iteration 3: pred_df = -1.269 (df_0 = -0.000, df_new = -1.269)\n",
"\tnew_params = [0.7914774 1.16515118 0.78657511 9.91698624]\n",
"generating samples and combining into 5-component mixture...\n",
"iteration 4: pred_df = -1.344 (df_0 = -0.000, df_new = -1.344)\n",
"\tnew_params = [0.75821417 1.19443599 0.74014145 9.91129585]\n",
"generating samples and combining into 6-component mixture...\n",
"iteration 5: pred_df = -1.572 (df_0 = -0.000, df_new = -1.572)\n",
"\tnew_params = [0.72360239 1.19968101 0.73336486 9.91391577]\n",
"generating samples and combining into 7-component mixture...\n",
"iteration 6: pred_df = -1.623 (df_0 = -0.000, df_new = -1.623)\n",
"\tnew_params = [0.68589359 1.20513746 0.71605051 9.9152416 ]\n",
"generating samples and combining into 8-component mixture...\n",
"iteration 7: pred_df = -1.702 (df_0 = -0.000, df_new = -1.702)\n",
"\tnew_params = [0.65968416 1.20481409 0.70780563 9.91809713]\n",
"generating samples and combining into 9-component mixture...\n",
"iteration 8: pred_df = -1.741 (df_0 = -0.000, df_new = -1.741)\n",
"\tnew_params = [0.6426164 1.20141307 0.70419436 9.92141661]\n",
"generating samples and combining into 10-component mixture...\n",
"iteration 9: pred_df = -1.772 (df_0 = -0.000, df_new = -1.772)\n",
"\tnew_params = [0.61387761 1.19564812 0.7035388 9.92547862]\n",
"generating samples and combining into 11-component mixture...\n",
"iteration 10: pred_df = -1.822 (df_0 = -0.000, df_new = -1.822)\n",
"\tnew_params = [0.61285136 1.18798066 0.70874409 9.92960669]\n",
"generating samples and combining into 12-component mixture...\n",
"iteration 11: pred_df = -1.815 (df_0 = -0.000, df_new = -1.815)\n",
"\tnew_params = [0.61014599 1.18138771 0.71253076 9.93325338]\n",
"generating samples and combining into 13-component mixture...\n",
"iteration 12: pred_df = -1.852 (df_0 = -0.000, df_new = -1.852)\n",
"\tnew_params = [0.6155678 1.17354147 0.72043635 9.93713584]\n",
"generating samples and combining into 14-component mixture...\n",
"iteration 13: pred_df = -1.784 (df_0 = -0.000, df_new = -1.784)\n",
"\tnew_params = [0.59503022 1.16946511 0.71903536 9.93973046]\n",
"generating samples and combining into 15-component mixture...\n",
"iteration 14: pred_df = -1.822 (df_0 = -0.000, df_new = -1.822)\n",
"\tnew_params = [0.59902878 1.16397804 0.72254876 9.94262407]\n",
"generating samples and combining into 16-component mixture...\n",
"iteration 15: pred_df = -1.818 (df_0 = -0.000, df_new = -1.818)\n",
"\tnew_params = [0.60268698 1.15936046 0.7252964 9.94518369]\n",
"generating samples and combining into 17-component mixture...\n",
"iteration 16: pred_df = -1.803 (df_0 = -0.000, df_new = -1.803)\n",
"\tnew_params = [0.60100533 1.15589301 0.72596209 9.94729707]\n",
"generating samples and combining into 18-component mixture...\n",
"iteration 17: pred_df = -1.808 (df_0 = -0.000, df_new = -1.808)\n",
"\tnew_params = [0.60113762 1.15252795 0.72713549 9.94929425]\n",
"generating samples and combining into 19-component mixture...\n",
"iteration 18: pred_df = -1.820 (df_0 = 0.000, df_new = -1.820)\n",
"\tnew_params = [0.6003575 1.1487687 0.72953247 9.95129289]\n",
"generating samples and combining into 20-component mixture...\n",
"iteration 19: pred_df = -1.804 (df_0 = -0.000, df_new = -1.804)\n",
"\tnew_params = [0.60040093 1.14628434 0.72985659 9.95286172]\n",
"generating samples and combining into 1-component mixture...\n",
"iteration 0: pred_df = -0.529 (df_0 = -0.000, df_new = -0.529)\n",
"\tnew_params = [0.93625166 1.1332893 0.85307329 9.95639989]\n",
"generating samples and combining into 2-component mixture...\n",
"iteration 1: pred_df = -1.294 (df_0 = -0.000, df_new = -1.294)\n",
"\tnew_params = [0.85859336 1.39467299 0.53344652 9.87040761]\n",
"generating samples and combining into 3-component mixture...\n",
"iteration 2: pred_df = -1.959 (df_0 = -0.000, df_new = -1.959)\n",
"\tnew_params = [0.79501641 1.57917864 0.28379322 9.81741894]\n",
"generating samples and combining into 4-component mixture...\n",
"iteration 3: pred_df = -2.383 (df_0 = -0.000, df_new = -2.383)\n",
"\tnew_params = [0.75162993 1.68037487 0.22276708 9.82160373]\n",
"generating samples and combining into 5-component mixture...\n",
"iteration 4: pred_df = -2.719 (df_0 = -0.000, df_new = -2.719)\n",
"\tnew_params = [0.71262113 1.77724049 0.05062124 9.79796902]\n",
"generating samples and combining into 6-component mixture...\n",
"iteration 5: pred_df = -2.935 (df_0 = -0.000, df_new = -2.935)\n",
"\tnew_params = [0.68000058 1.78803199 0.04743793 9.79742923]\n",
"generating samples and combining into 7-component mixture...\n",
"iteration 6: pred_df = -3.186 (df_0 = -0.000, df_new = -3.186)\n",
"\tnew_params = [ 0.64119755 1.84347658 -0.0791598 9.78957099]\n",
"generating samples and combining into 8-component mixture...\n",
"iteration 7: pred_df = -3.406 (df_0 = -0.000, df_new = -3.406)\n",
"\tnew_params = [ 0.61948337 1.87321897 -0.09938153 9.78329598]\n",
"generating samples and combining into 9-component mixture...\n",
"iteration 8: pred_df = -3.607 (df_0 = -0.000, df_new = -3.607)\n",
"\tnew_params = [ 0.59707338 1.89049032 -0.11743586 9.79454835]\n",
"generating samples and combining into 10-component mixture...\n",
"iteration 9: pred_df = -3.712 (df_0 = -0.000, df_new = -3.712)\n",
"\tnew_params = [ 0.56356969 1.89678006 -0.18609122 9.79825125]\n",
"generating samples and combining into 11-component mixture...\n",
"iteration 10: pred_df = -3.827 (df_0 = -0.000, df_new = -3.827)\n",
"\tnew_params = [ 0.5334547 1.89712639 -0.19730257 9.78617845]\n",
"generating samples and combining into 12-component mixture...\n",
"iteration 11: pred_df = -3.936 (df_0 = -0.000, df_new = -3.936)\n",
"\tnew_params = [ 0.4994748 1.88213302 -0.23820257 9.79223143]\n",
"generating samples and combining into 13-component mixture...\n",
"iteration 12: pred_df = -4.052 (df_0 = -0.000, df_new = -4.052)\n",
"\tnew_params = [ 0.46857714 1.86367019 -0.27385995 9.80291948]\n",
"generating samples and combining into 14-component mixture...\n",
"iteration 13: pred_df = -4.185 (df_0 = -0.000, df_new = -4.185)\n",
"\tnew_params = [ 0.44437895 1.85137382 -0.27606711 9.80899685]\n",
"generating samples and combining into 15-component mixture...\n",
"iteration 14: pred_df = -4.172 (df_0 = -0.000, df_new = -4.172)\n",
"\tnew_params = [ 0.42137128 1.8239426 -0.30044359 9.82004481]\n",
"generating samples and combining into 16-component mixture...\n",
"iteration 15: pred_df = -4.299 (df_0 = -0.000, df_new = -4.299)\n",
"\tnew_params = [ 0.39885708 1.7908748 -0.30733583 9.83151203]\n",
"generating samples and combining into 17-component mixture...\n",
"iteration 16: pred_df = -4.400 (df_0 = -0.000, df_new = -4.400)\n",
"\tnew_params = [ 0.37857124 1.74642207 -0.29852847 9.84128447]\n",
"generating samples and combining into 18-component mixture...\n",
"iteration 17: pred_df = -4.219 (df_0 = -0.000, df_new = -4.219)\n",
"\tnew_params = [ 0.35719053 1.73470853 -0.30632267 9.89323202]\n",
"generating samples and combining into 19-component mixture...\n",
"iteration 18: pred_df = -4.433 (df_0 = -0.000, df_new = -4.433)\n",
"\tnew_params = [ 0.34347905 1.69952492 -0.30188477 9.89964449]\n",
"generating samples and combining into 20-component mixture...\n",
"iteration 19: pred_df = -4.382 (df_0 = -0.000, df_new = -4.382)\n",
"\tnew_params = [ 0.33129037 1.66988726 -0.31171301 9.90527899]\n",
"generating samples and combining into 1-component mixture...\n",
"iteration 0: pred_df = -1.304 (df_0 = -0.000, df_new = -1.304)\n",
"\tnew_params = [0.95065673 1.53238 0.38298248 9.80111221]\n",
"generating samples and combining into 2-component mixture...\n",
"iteration 1: pred_df = -2.505 (df_0 = -0.000, df_new = -2.505)\n",
"\tnew_params = [ 0.88616693 2.06937901 -0.19774443 9.63127089]\n",
"generating samples and combining into 3-component mixture...\n",
"iteration 2: pred_df = -3.113 (df_0 = -0.000, df_new = -3.113)\n",
"\tnew_params = [ 0.83647253 2.37756447 -0.28960081 9.55894012]\n",
"generating samples and combining into 4-component mixture...\n",
"iteration 3: pred_df = -3.681 (df_0 = -0.000, df_new = -3.681)\n",
"\tnew_params = [ 0.80306977 2.6058649 -0.33073048 9.27727901]\n",
"generating samples and combining into 5-component mixture...\n",
"iteration 4: pred_df = -4.550 (df_0 = -0.000, df_new = -4.550)\n",
"\tnew_params = [ 0.76819063 2.88898904 -0.76157515 9.24051765]\n",
"generating samples and combining into 6-component mixture...\n",
"iteration 5: pred_df = -5.264 (df_0 = -0.000, df_new = -5.264)\n",
"\tnew_params = [ 0.73425061 3.15975052 -1.07870212 9.24246055]\n",
"generating samples and combining into 7-component mixture...\n",
"iteration 6: pred_df = -5.811 (df_0 = -0.000, df_new = -5.811)\n",
"\tnew_params = [ 0.69566992 3.29537823 -1.35890552 9.24738279]\n",
"generating samples and combining into 8-component mixture...\n",
"iteration 7: pred_df = -6.371 (df_0 = -0.000, df_new = -6.371)\n",
"\tnew_params = [ 0.66057479 3.37451733 -1.57231443 9.26587828]\n",
"generating samples and combining into 9-component mixture...\n",
"iteration 8: pred_df = -6.797 (df_0 = -0.000, df_new = -6.797)\n",
"\tnew_params = [ 0.6376238 3.41524776 -1.73084704 9.29145986]\n",
"generating samples and combining into 10-component mixture...\n",
"warning: scalar overlap (0.243) is getting low...\n",
"iteration 9: pred_df = -7.248 (df_0 = -0.000, df_new = -7.248)\n",
"\tnew_params = [ 0.61637325 3.43582974 -1.82729065 9.32397325]\n",
"generating samples and combining into 11-component mixture...\n",
"warning: scalar overlap (0.221) is getting low...\n",
"iteration 10: pred_df = -7.366 (df_0 = -0.000, df_new = -7.366)\n",
"\tnew_params = [ 0.58852279 3.42523576 -1.91301383 9.35695352]\n",
"generating samples and combining into 12-component mixture...\n",
"warning: scalar overlap (0.195) is getting low...\n",
"iteration 11: pred_df = -7.614 (df_0 = -0.000, df_new = -7.614)\n",
"\tnew_params = [ 0.55950469 3.39503409 -1.98062602 9.3922674 ]\n",
"generating samples and combining into 13-component mixture...\n",
"warning: scalar overlap (0.175) is getting low...\n",
"iteration 12: pred_df = -7.828 (df_0 = -0.000, df_new = -7.828)\n",
"\tnew_params = [ 0.5423042 3.35057209 -2.02013763 9.42692187]\n",
"generating samples and combining into 14-component mixture...\n",
"warning: scalar overlap (0.157) is getting low...\n",
"iteration 13: pred_df = -8.028 (df_0 = -0.000, df_new = -8.028)\n",
"\tnew_params = [ 0.52198963 3.29394479 -2.03877079 9.46199823]\n",
"generating samples and combining into 15-component mixture...\n",
"warning: scalar overlap (0.144) is getting low...\n",
"iteration 14: pred_df = -8.179 (df_0 = -0.000, df_new = -8.179)\n",
"\tnew_params = [ 0.49894294 3.2830889 -2.03893842 9.46828329]\n",
"generating samples and combining into 16-component mixture...\n",
"warning: scalar overlap (0.133) is getting low...\n",
"iteration 15: pred_df = -8.373 (df_0 = -0.000, df_new = -8.373)\n",
"\tnew_params = [ 0.47378788 3.20467677 -2.02680342 9.50488607]\n",
"generating samples and combining into 17-component mixture...\n",
"warning: scalar overlap (0.124) is getting low...\n",
"iteration 16: pred_df = -8.482 (df_0 = -0.000, df_new = -8.482)\n",
"\tnew_params = [ 0.45271211 3.12435255 -2.01200254 9.54001019]\n",
"generating samples and combining into 18-component mixture...\n",
"warning: scalar overlap (0.114) is getting low...\n",
"iteration 17: pred_df = -8.485 (df_0 = -0.000, df_new = -8.485)\n",
"\tnew_params = [ 0.43779459 3.0496778 -2.00530439 9.57245253]\n",
"generating samples and combining into 19-component mixture...\n",
"warning: scalar overlap (0.113) is getting low...\n",
"iteration 18: pred_df = -8.371 (df_0 = -0.000, df_new = -8.371)\n",
"\tnew_params = [ 0.42028183 2.99057422 -2.03134106 9.60198599]\n",
"generating samples and combining into 20-component mixture...\n",
"warning: scalar overlap (0.102) is getting low...\n",
"iteration 19: pred_df = -8.652 (df_0 = -0.000, df_new = -8.652)\n",
"\tnew_params = [ 0.40291494 2.91453085 -2.01356746 9.63106898]\n"
]
}
],
"source": [
"labels = [+10.0, +5.0, +2.0, +1.0, 0.0, -1.0, -2.0, -5.0, -10.0]\n",
"\n",
"result_dict = dict()\n",
"\n",
"for label in labels:\n",
" param_traj, local_opt_results = global_local_optimizer(params_0, label, outer_loop_iterations=20)\n",
" result_dict[label] = (param_traj, local_opt_results)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[0. 1.74282369 3.56736115 5.28117529 6.97465301 8.56567209\n",
" 9.80133619 9.77265306 9.95851731 9.97624743 9.72520797 9.89780821\n",
" 9.8168628 9.84735974 9.99898509 9.80280687 9.84515454 9.74054335\n",
" 9.72561019 9.73374999 9.73595697] 10.0\n",
"[0. 1.13691645 2.50814913 3.78941509 4.68166534 4.85805457\n",
" 4.95144657 5.0075582 4.84187702 4.83468869 4.87643749 4.81107174\n",
" 4.9114836 4.93309672 4.90620172 4.86537125 4.78894132 4.78108679\n",
" 4.8908064 4.98234376 4.90634245] 5.0\n",
"[0. 0.80184378 1.72390144 1.95920801 1.92742816 1.94987555\n",
" 1.95597946 2.02041642 1.94317461 1.98313156 2.04711612 2.01191641\n",
" 1.9527424 1.90729918 1.95271331 1.86117019 1.95001633 2.0043944\n",
" 1.94547641 1.93764061 1.94267298] 2.0\n",
"[0. 0.64416563 0.89858808 0.96088245 0.95771132 0.99244027\n",
" 0.9942626 0.97207233 1.00082554 0.98554694 0.95786446 0.96707639\n",
" 0.96186729 0.97341646 0.94754448 0.94589232 0.99791055 1.05226648\n",
" 0.98055889 0.95190694 0.95975127] 1.0\n",
"[ 0. -0.00023723 -0.00025183 -0.00029438 -0.00023788 -0.00028488\n",
" -0.00040816 -0.00045763 -0.00037251 -0.00027743 -0.00029651 -0.00031186\n",
" -0.00027518 -0.00042117 -0.00047155 -0.00040994 -0.00047967 -0.00047717\n",
" -0.00045951 -0.00030444 -0.00039494] 0.0\n",
"[ 0. -0.2823488 -0.60615283 -0.78646031 -0.87826827 -0.92121843\n",
" -0.93202452 -0.93428911 -0.94194801 -0.95137363 -0.94609694 -0.94419201\n",
" -0.96090281 -0.95754068 -0.94895526 -0.95301184 -0.94851649 -0.93969664\n",
" -0.94913632 -0.94260949 -0.94089706] -1.0\n",
"[ 0. -0.43575014 -0.74432253 -0.95526368 -1.2126136 -1.39764181\n",
" -1.5178618 -1.65072144 -1.72949586 -1.77353818 -1.83585165 -1.82575971\n",
" -1.82186503 -1.79430532 -1.83600738 -1.81943127 -1.80503651 -1.80512377\n",
" -1.80089691 -1.79667799 -1.79437389] -2.0\n",
"[ 0. -0.53470981 -1.39202084 -2.05935156 -2.36797491 -2.78829975\n",
" -2.91624488 -3.2517462 -3.37367758 -3.48155466 -3.68866777 -3.7985791\n",
" -3.95140487 -4.08613629 -4.14937073 -4.23918914 -4.29283071 -4.30198437\n",
" -4.36610483 -4.37224649 -4.41032962] -5.0\n",
"[ 0. -1.24191626 -2.57574295 -3.1720866 -3.61694682 -4.49074341\n",
" -5.24774785 -5.90182512 -6.43503557 -6.81521986 -7.09615172 -7.39187404\n",
" -7.6694496 -7.81856124 -7.95570165 -8.13389596 -8.25889605 -8.35195383\n",
" -8.41591074 -8.59318713 -8.67648066] -10.0\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1200x1200 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1200x1200 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1200x1200 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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Vnj17HHq/d+7cWeeYbO1V9/4dO3YoOjpaISEh9rI2bdro1ltv1a233qr09HT17dtXjz76qD1Jl6SePXuqZ8+euv/++7VmzRoNGTJES5Ys0SOPPFKvGOG9uCcdaCTPPfecw+t//etfkmT/x9z2bXbFb6+zsrLqlCQ6o43aiImJ0XnnnacXXnhBhw4dqrT8yJEj9ue2A9rJU9iMHDlSYWFheuyxx1RSUlJjG3VV3Tpr4uPjI5PJ5HAZ3759+xxGkQUANE9JSUny9/fXM88843AMfeWVV5SVlWUfMbxv375KTEzUokWLKh1jbO+r6lgsSYsWLWpwnM8++6zD+p599ln5+flp+PDhksp6eC0Wix5++OFK7y0tLa3TcdHGx8en0rZ88MEHpxx7piqHDh3S+PHjNXToUD3xxBNV1hk/frz++OMPvfTSS5WWFRQUKC8vT9KJ86dnnnnGoU5993ObNm3Up08fvf766w776ffff9dXX32lMWPGSCq7L//kWxZiYmIUFxdnv1UuOztbpaWlDnV69uwps9lcaRo5oDboSQcaSUpKisaOHatRo0Zp7dq19ilDevfuLUkaMWKE/P39dfHFF+vmm29Wbm6uXnrpJcXExFSZCFfFGW3U1nPPPaehQ4eqZ8+euvHGG9WxY0cdPnxYa9eu1cGDB+3zp/bp00c+Pj5asGCBsrKyFBAQYJ/HffHixbruuuvUt29fXX311WrVqpVSU1P12WefaciQIQ4nI3XRr18/SdL//d//6eqrr5afn58uvvhih2/AT3bRRRdp4cKFGjVqlP76178qPT1dzz33nDp37qwtW7bUKw4AgGdo1aqVZs2apTlz5mjUqFEaO3asdu7cqeeff15nnXWWrr32Wkll94UvXrxYF198sfr06aMpU6aoTZs22rFjh7Zu3aovv/xSYWFhOvfcc/X444+rpKREbdu21VdffaWUlJQGxRgYGKgVK1Zo0qRJGjBggL744gt99tln+sc//mG/jH3YsGG6+eabNW/ePG3atEkjRoyQn5+fdu3apQ8++EBPP/20rrjiijqt9y9/+Yvmzp2rKVOmaPDgwfrtt9/09ttvV7o/vjZuv/12HTlyRPfcc4/ee+89h2W9evVSr169dN111+n999/X3//+d61atUpDhgyRxWLRjh079P777+vLL79U//791adPH02YMEHPP/+8srKyNHjwYCUnJ2v37t11jsvmiSee0OjRozVo0CDdcMMN9inYwsPD7fO45+TkqF27drriiivUu3dvhYaGauXKlfrll1/0z3/+U1LZVK9Tp07VlVdeqdNOO02lpaV688035ePjo8svv7ze8cGLuWpYeaC5sk0/sm3bNuOKK64wWrRoYURGRhpTp041CgoKHOp+8sknRq9evYzAwEAjISHBWLBggfHqq69Wmp6lQ4cOxkUXXVTl+hrahqRK04rYpil54oknHMr37NljTJw40WjdurXh5+dntG3b1vjLX/5i/Pvf/3ao99JLLxkdO3Y0fHx8Kk3HtmrVKmPkyJFGeHi4ERgYaHTq1MmYPHmy8euvv9rrTJo0yQgJCalye6vz8MMPG23btjXMZrPDtle1fTavvPKK0aVLFyMgIMDo2rWr8dprr1U5fQxTsAGAZ6tu6rNnn33W6Nq1q+Hn52fExsYat9xyS6Wp1gzDMH744QfjwgsvNFq0aGGEhIQYvXr1Mv71r3/Zlx88eNC49NJLjYiICCM8PNy48sorjT///LPS1GB1mYItJCTE2LNnjzFixAgjODjYiI2NNWbPnl1pejTDMIwXX3zR6NevnxEUFGS0aNHC6Nmzp3HPPfcYf/75p71OdecBw4YNM4YNG2Z/XVhYaNx1111GmzZtjKCgIGPIkCHG2rVrK9WrzRRsw4YNMyRV+ai4X4qLi40FCxYY3bt3NwICAozIyEijX79+xpw5c4ysrCx7vYKCAuP22283WrZsaYSEhBgXX3yxceDAgXpPwWYYhrFy5UpjyJAhRlBQkBEWFmZcfPHFxrZt2+zLi4qKjLvvvtvo3bu3/fffu3dv4/nnn7fX2bt3r3H99dcbnTp1MgIDA42oqCjj/PPPN1auXFljTEB1TIZx0vUsABrkoYce0pw5c3TkyJF63bsF9xMfH6+RI0fq5ZdfdnUoAAAvMHnyZP373/9Wbm6uq0MB4ALckw4ANSgpKVFGRgZfuAAAAKBJcE86AFTjyy+/1HvvvaeCggL7ID0AAABAYyJJB4BqzJ8/X7t379ajjz6qCy+80NXhAAAAwAtwTzoAAAAAAG6Ce9IBAAAAAHATJOkAAAAAALgJr7sn3Wq16s8//1SLFi1kMplcHQ4AADIMQzk5OYqLi5PZzPfnzsDxHgDgTupyrPe6JP3PP/9UfHy8q8MAAKCSAwcOqF27dq4Oo1ngeA8AcEe1OdZ7XZLeokULSWU7JywszMXRAAAgZWdnKz4+3n6MQsNxvAcAuJO6HOu9Lkm3XfIWFhbGQRsA4Fa4LNt5ON4DANxRbY713PgGAAAAAICbIEkHAAAAAMBNkKQDAAAAAOAmSNIBAAAAAHATJOkAAAAAALgJknQAAAAAANwESToAAAAAAG6CJB0AAAAAADdBkg4AAAAAgJsgSQcAAA3y3HPPKSEhQYGBgRowYIB+/vnnauu+9NJLOueccxQZGanIyEglJSVVqj958mSZTCaHx6hRoxp7MwAAcAsk6QAAoN6WLVumGTNmaPbs2dqwYYN69+6tkSNHKj09vcr6q1ev1oQJE7Rq1SqtXbtW8fHxGjFihP744w+HeqNGjdKhQ4fsj3fffbcpNgcAAJczGYZhuDqIppSdna3w8HBlZWUpLCzM1eEAAODRx6YBAwborLPO0rPPPitJslqtio+P17Rp03Tfffed8v0Wi0WRkZF69tlnNXHiREllPemZmZlavnx5reMoKipSUVGR/XV2drbi4+M9cp8CAJqfuhzr6UkHAAD1UlxcrPXr1yspKcleZjablZSUpLVr19aqjfz8fJWUlCgqKsqhfPXq1YqJidHpp5+uW265RRkZGTW2M2/ePIWHh9sf8fHxdd+gKuw9kqunV+7SG2v3OaU9AABOxa2S9O+++04XX3yx4uLiZDKZKn2DbhiGHnzwQbVp00ZBQUFKSkrSrl27XBMsAABe7ujRo7JYLIqNjXUoj42NVVpaWq3auPfeexUXF+eQ6I8aNUpvvPGGkpOTtWDBAn377bcaPXq0LBZLte3MmjVLWVlZ9seBAwfqt1EnST2Wr6dW/k/v/eyc9gAAOBVfVwdQUV5ennr37q3rr79el112WaXljz/+uJ555hm9/vrrSkxM1AMPPKCRI0dq27ZtCgwMdEHEzmEYhlRSIqOkpOy51SoZhgyrtayC1SpZrWXLHJYbkozKy8vr2O9kcLihwai4YsefJz1v0jshTl5Vlet29Z0ZpmqKqymvTrX71RnbV8tYqoq5qqKT69V1W5u7Wu2f2u3renHG37ZRebm9sKr3l/+sso1qP8Mm+zbbP1PV/dTJ5Se9z6HZWuz/2v5O6snk76eAxESntedt5s+fr/fee0+rV692OI5fffXV9uc9e/ZUr1691KlTJ61evVrDhw+vsq2AgAAFBAQ4PcbwID9JUlZBidPbBgCgKm6VpI8ePVqjR4+ucplhGFq0aJHuv/9+XXLJJZKkN954Q7GxsVq+fLnDAb2iqu5Rc5asTz9T3vffyygtLUuwS0pOPC8tsZeppKrlJ8pUWuq0mAAATce/cyd1+vRTV4fhMtHR0fLx8dHhw4cdyg8fPqzWrVvX+N4nn3xS8+fP18qVK9WrV68a63bs2FHR0dHavXt3tUl6Y4kI9pdEkg4AaDpulaTXJCUlRWlpaQ6Xw4WHh2vAgAFau3ZttUn6vHnzNGfOnEaJqfD335X1n/80StuVmEyS2SyVT0Vjey6zuez1ycttryu+3/684tOTe7FqeH4qte15N4xT94BVE2/Zy6brzTWq6hmsspPfqPy6tr16VRbVfRurjLXqiie9riL22iwrX2etY23qXvjqfgfObL/iy/p+VhoaQ7V/u7YftfjbrtSbfYr3V1nfsef7RIwVYq3hp8P+q+49Du3W/Nms1ObJbTuJT0SEcxv0MP7+/urXr5+Sk5M1btw4SWUDxyUnJ2vq1KnVvu/xxx/Xo48+qi+//FL9+/c/5XoOHjyojIwMtWnTxlmh15qtJz23qFQlFqv8fNzqTkEAQDPkMUm67d62ut73NmvWLM2YMcP+2jbaqzOEnneefFtFy+TnJ/n6yuTnV/bw9Tvx3K+8vMLyE3X9HZf7+pYtkyon4QAAuKEZM2Zo0qRJ6t+/v84++2wtWrRIeXl5mjJliiRp4sSJatu2rebNmydJWrBggR588EG98847SkhIsB/DQ0NDFRoaqtzcXM2ZM0eXX365WrdurT179uiee+5R586dNXLkyCbfvrDAE6dK2QUlahnq/EvqAQCoyGOS9PpqrHvUJClk4ACFDBzQKG0DAOAJrrrqKh05ckQPPvig0tLS1KdPH61YscL+pXpqaqrMFa7sWrx4sYqLi3XFFVc4tDN79mw99NBD8vHx0ZYtW/T6668rMzNTcXFxGjFihB5++OFGO57XxNfHrBaBvsopLFUmSToAoAl4TJJuu7ft8OHDDpe7HT58WH369HFRVAAAYOrUqdVe3r569WqH1/v27auxraCgIH355ZdOisw5woP8lFNYyn3pAIAm4TE3ViUmJqp169ZKTk62l2VnZ2vdunUaNGiQCyMDAADNWURw+Qjv+STpAIDG51Y96bm5udq9e7f9dUpKijZt2qSoqCi1b99e06dP1yOPPKIuXbrYp2CLi4uzD1YDAADgbEzDBgBoSm6VpP/66686//zz7a9tA75NmjRJS5cu1T333KO8vDzddNNNyszM1NChQ7VixQqPniMdAAC4t4igsmnYMvOLXRwJAMAbuFWSft5558moYXoik8mkuXPnau7cuU0YFQAA8GbhtsvdC0pdHAkAwBt4zD3pAAAArmC73D2zgJ50AEDjI0kHAACoQUQQA8cBAJoOSToAAEANGDgOANCUSNIBAABqYJuCLZMkHQDQBEjSAQAAahBePro7PekAgKZAkg4AAFAD+8Bx3JMOAGgCJOkAAAA1iLBPwVZc41SxAAA4A0k6AABADWw96SUWQwUlFhdHAwBo7kjSAQAAahDs7yM/H5MkLnkHADQ+knQAAIAamEwmpmEDADQZknQAAIBTYPA4AEBTIUkHAAA4hYhg2zRsxS6OBADQ3JGkAwAAnAKXuwMAmgpJOgAAwClEcLk7AKCJkKQDAACcQhg96QCAJkKSDgAAcAoRweU96STpAIBGRpIOAABwChH0pAMAmghJOgAAwCmEl/ekZ3FPOgCgkZGkAwAAnEJEUNkUbJlMwQYAaGQk6QAAAKfAwHEAgKZCkg4AAHAK9oHjuNwdANDISNIBAABOwTZwXE5hqSxWw8XRAACaM5J0AACAU7Bd7i5J2VzyDgBoRCTpAAAAp+DnY1ZogK8k5koHADQuknQAAIBaCGfwOABAEyBJBwAAqAVbkp6ZzzRsAIDGQ5IOAABQC/SkAwCaAkk6AABALdimYSNJBwA0JpJ0AACAWmCudABAUyBJBwAAqIUwLncHADQBknQAAIBaiAjyl0RPOgCgcZGkAwAA1AIDxwEAmgJJOgAAQC2cGDiOKdgAAI2HJB0AAKAWIuhJBwA0AZJ0AACAWrANHMc96QCAxkSSDgAAUAv2KdjoSQcANCKSdAAAgFqwDRxXXGpVYYnFxdEAAJorknQAAIBaCA3wlY/ZJIlL3gEAjYckHQAAoBZMJhODxwEAGh1JOgAAQC2F2wePYxo2AEDjIEkHAACopXAGjwMANDKSdAAAgFoK53J3AEAj83V1AAAAoGmlpKTo+++/1/79+5Wfn69WrVrpzDPP1KBBgxQYGOjq8Nya/Z50Bo4DADQSknQAALzE22+/raefflq//vqrYmNjFRcXp6CgIB07dkx79uxRYGCgrrnmGt17773q0KGDq8N1S/SkAwAaG0k6AABe4Mwzz5S/v78mT56sDz/8UPHx8Q7Li4qKtHbtWr333nvq37+/nn/+eV155ZUuitZ9hQf7S5IyCxg4DgDQOEjSAQDwAvPnz9fIkSOrXR4QEKDzzjtP5513nh599FHt27ev6YLzIBH20d3pSQcANA6SdAAAvEBNCfrJWrZsqZYtWzZiNJ6Ly90BAI2NJB0AAC+wZcuWOr+nW7du8vXlVKGiiGCSdABA4+LICwCAF+jTp49MJpMMw6hVfbPZrP/973/q2LFjI0fmWehJBwA0NpJ0AAC8xLp169SqVatT1jMMQz169GiCiDyPrSede9IBAI2FJB0AAC8wbNgwde7cWREREbWqf+655yooKKhxg/JA4UFlo7tnF5bIajVkNptcHBEAoLkhSQcAwAusWrWqTvU///zzRorEs9kudzcMKaewVOHlPesAADiL2dUBAAAAeAp/X7OC/X0kMVc6AKBx0JMOAIAXmDFjhh5++GGFhIRoxowZNdZduHBhE0XlmcKD/JRfbGHwOABAoyBJBwDAC2zcuFElJSX259UxmbjH+lTCg/x0KKuQweMAAI2CJB0AAC9Q8Z70ut6fDkfMlQ4AaEzckw4AAFAHtsHjMknSAQCNgCQdAAAv8ueff+quu+5SYWGhQ3lpaanuvvtu7du3zzWBeZCI8mnYsvIZOA4A4Hwk6QAAeJE2bdro/fff18cff+xQ/sUXX+j1119Xu3btXBSZ5wjncncAQCMiSQcAwIuYTCZde+21euONNxzK33zzTV199dXy9WW4mlOxX+7OwHEAgEZAkg4AgJeZNGmSkpOTdfjwYUlSVlaWPv30U02ePNm1gXkIW5JOTzoAoDGQpAMA4GW6du2qfv366e2335YkffDBB+rUqZP69u3r4sg8g210dwaOAwA0BpJ0AAC80MSJE+2XvL/55puaNGmSiyPyHCcGjiNJBwA4H0k6AABeaMKECdq5c6f+85//6KefftJ1113n6pA8Bpe7AwAaE0k6AABeKCIiQmPHjtUNN9ygpKQkxcbGujokj3HicnemYAMAOB9JOgAAXmrixIk6duxYgy91f+6555SQkKDAwEANGDBAP//8c7V1X3rpJZ1zzjmKjIxUZGSkkpKSKtU3DEMPPvig2rRpo6CgICUlJWnXrl0NitGZwsp70gtLrCossbg4GgBAc0OSDgCAlxozZoxSUlJ0+eWX17uNZcuWacaMGZo9e7Y2bNig3r17a+TIkUpPT6+y/urVqzVhwgStWrVKa9euVXx8vEaMGKE//vjDXufxxx/XM888oyVLlmjdunUKCQnRyJEjVVhYWO84nalFgK/MprLn2VzyDgBwMpNhGIarg2hK2dnZCg8PV1ZWlsLCwlwdDgAAHn1sGjBggM466yw9++yzkiSr1ar4+HhNmzZN99133ynfb7FYFBkZqWeffVYTJ06UYRiKi4vTXXfdpZkzZ0oqmyIuNjZWS5cu1dVXX12ruBp7n5459ysdzy/RV3eeq9NiWzi9fQBA81KX4xI96QAAeIHs7Ow61c/JyTllneLiYq1fv15JSUn2MrPZrKSkJK1du7ZW68nPz1dJSYmioqIkSSkpKUpLS3NoMzw8XAMGDKixzaKiImVnZzs8GhODxwEAGgtJOgAAXiAyMrLaS9Cr0rZtW+3du7fGOkePHpXFYqk06FxsbKzS0tJqtZ57771XcXFx9qTc9r66tjlv3jyFh4fbH/Hx8bVaf32FB5dNw5bJNGwAACfzdXUAAACg8RmGoZdfflmhoaG1ql9S0vjJ5/z58/Xee+9p9erVCgwMbFBbs2bN0owZM+yvs7OzGzVRpycdANBYSNIBAPAC7du310svvVTr+q1bt5afn1+NdaKjo+Xj46PDhw87lB8+fFitW7eu8b1PPvmk5s+fr5UrV6pXr14O67W10aZNG4c2+/TpU217AQEBCggIqHGdzhRRnqRn5jMNGwDAuUjSAQDwAvv27XN6m/7+/urXr5+Sk5M1btw4SWUDxyUnJ2vq1KnVvu/xxx/Xo48+qi+//FL9+/d3WJaYmKjWrVsrOTnZnpRnZ2dr3bp1uuWWW5y+DfVlmyud0d0BAM7mcfekWywWPfDAA0pMTFRQUJA6deqkhx9+WF42SD0AAG5hxowZeumll/T6669r+/btuuWWW5SXl6cpU6ZIKpuLfdasWfb6CxYs0AMPPKBXX31VCQkJSktLU1pamnJzcyVJJpNJ06dP1yOPPKJPPvlEv/32myZOnKi4uDj7FwHuwHa5eyZJOgDAyTyuJ33BggVavHixXn/9dXXv3l2//vqrpkyZovDwcN1+++2uDg8AALc0Y8YMPfzwwwoJCXG4d7sqoaGh6t69u6644gr5+PjUWPeqq67SkSNH9OCDDyotLU19+vTRihUr7AO/paamymw+0SewePFiFRcX64orrnBoZ/bs2XrooYckSffcc4/y8vJ00003KTMzU0OHDtWKFSsafN+6M9mTdAaOAwA4mcfNk/6Xv/xFsbGxeuWVV+xll19+uYKCgvTWW2+d8v2ePBctAKB5aopj0/nnn6+PP/5YEREROv/882usW1RUpK1bt2rcuHF6/fXXGyWextbY+/SDXw/o7n9v0bDTWun16892evsAgOalLsclj+tJHzx4sF588UX973//02mnnabNmzfrhx9+0MKFC6usX1RUpKKiIvvrxp43FQAAd7Rq1aoqn1fn119/1fDhwxszJI8WYZuCjcvdAQBO5nFJ+n333afs7Gx17dpVPj4+slgsevTRR3XNNddUWX/evHmaM2dOE0cJAIBn69Wrl9544w1Xh+G2bJe7M3AcAMDZPC5Jf//99/X222/rnXfeUffu3bVp0yZNnz5dcXFxmjRpUqX6TT1vKgAAnuDgwYP65JNPlJqaquJix2nEFi5cKH9/f11yySUuis792UZ3Zwo2AICzeVySfvfdd+u+++7T1VdfLUnq2bOn9u/fr3nz5lWZpDf1vKkAALi75ORkjR07Vh07dtSOHTvUo0cP7du3T4ZhqG/fvq4OzyPY5knPKiiR1WrIbDa5OCIAQHPhcVOw5efnO4wSK0k+Pj6yWq0uiggAAM8ya9YszZw5U7/99psCAwP14Ycf6sCBAxo2bJiuvPJKV4fnEcLKk3SrIeUWl7o4GgBAc+JxSfrFF1+sRx99VJ999pn27dunjz/+WAsXLtSll17q6tAAAPAI27dv18SJEyVJvr6+KigoUGhoqObOnasFCxa4ODrPEOjno0C/stOoLKZhAwA4kcdd7v6vf/1LDzzwgG699Valp6crLi5ON998sx588EFXhwYAgEcICQmx34fepk0b7dmzR927d5ckHT161JWheZTwID8VlhQpq6BEjHYDAHAWj0vSW7RooUWLFmnRokWuDgUAAI80cOBA/fDDDzrjjDM0ZswY3XXXXfrtt9/00UcfaeDAga4Oz2NEBPnrcHaRMulJBwA4kccl6QAAoGEWLlyo3NxcSdKcOXOUm5urZcuWqUuXLlq4cKGLo/Mc4bYR3gsY4R0A4Dwk6QAAeBGLxaKDBw+qV69eksoufV+yZImLo/JM4RVGeAcAwFk8buA4AABQfz4+PhoxYoSOHz/u6lA8nm0aNi53BwA4E0k6AABepkePHtq7d6+rw/B4tp70bHrSAQBORJIOAICXeeSRRzRz5kx9+umnOnTokLKzsx0eqJ2IYHrSAQDOxz3pAAB4mTFjxkiSxo4dK5PJZC83DEMmk0kWi8VVoXmU8GB/SdyTDgBwLpJ0AAC8zKpVq1wdQrNgu9yd0d0BAM5Ekg4AgJdJTExUfHy8Qy+6VNaTfuDAARdF5XkYOA4A0Bi4Jx0AAC+TmJioI0eOVCo/duyYEhMTXRCRZ2LgOABAYyBJBwDAy9juPT9Zbm6uAgMDXRCRZ7IPHEeSDgBwIi53BwDAS8yYMUOSZDKZ9MADDyg4ONi+zGKxaN26derTp4+LovM8tp70/GKLikut8vel7wMA0HAk6QAAeImNGzdKKutJ/+233+Tv729f5u/vr969e2vmzJmuCs/jtAj0k8kkGUbZCO+tWgS4OiQAQDNAkg4AgJewjeo+ZcoUPf300woLC6ux/sGDBxUXFyezmR7iqviYTQoL9FNWQYmyCopJ0gEATsFRFwAAL/Paa6+dMkGXpG7dumnfvn2NH5AHs13yzlzpAABnIUkHAABVMgzD1SG4PfvgcUzDBgBwEpJ0AACAeqInHQDgbCTpAAAA9WRL0ulJBwA4C0k6AABAPTFXOgDA2UjSAQBAlUwmk6tDcHu2nvRsknQAgJOQpAMAgCoxcNypRQSVzTWfmV/s4kgAAM0F86QDAIAqbdu2TXFxca4Ow60xcBwAwNlI0gEA8EK//vqr3n//faWmpqq42LEX+KOPPpIkxcfHuyI0jxLOPekAACfjcncAALzMe++9p8GDB2v79u36+OOPVVJSoq1bt+qbb75ReHi4q8PzKBH0pAMAnIwkHQAAL/PYY4/pqaee0n//+1/5+/vr6aef1o4dOzR+/Hi1b9/e1eF5FFtPehZTsAEAnIQkHQAAL7Nnzx5ddNFFkiR/f3/l5eXJZDLpzjvv1Isvvuji6DyLfeC4ghIG2gMAOAVJOgAAXiYyMlI5OTmSpLZt2+r333+XJGVmZio/P9+VoXkc28BxFquhvGKLi6MBADQHJOkAAHiZc889V19//bUk6corr9Qdd9yhG2+8URMmTNDw4cNdHJ1nCfQzy9+37HSKadgAAM7A6O4AAHiZZ599VoWFhZKk//u//5Ofn5/WrFmjyy+/XPfff7+Lo/MsJpNJ4UF+OpJTpKyCErWLdHVEAABPR5IOAICXiYqKsj83m8267777XBiN54uwJekMHgcAcAIudwcAwMv4+PgoPT29UnlGRoZ8fHxcEJFni2CudACAE5GkAwDgZaobhbyoqEj+/v5NHI3nC2eudACAE3G5OwAAXuKZZ56RVHYf9csvv6zQ0FD7MovFou+++05du3Z1VXgeK9w2DRuXuwMAnIAkHQAAL/HUU09JKutJX7JkicOl7f7+/kpISNCSJUtcFZ7HoicdAOBMJOkAAHiJlJQUSdL555+vjz76SJGRDEXuDLZ70rMKmIINANBw3JMOAICXWbVqlSIjI1VcXKydO3eqtLTU1SF5NPvAcVzuDgBwApJ0AAC8TEFBgW644QYFBwere/fuSk1NlSRNmzZN8+fPd3F0nofL3QEAzkSSDgCAl7nvvvu0efNmrV69WoGBgfbypKQkLVu2zIWReSZbkk5POgDAGbgnHQAAL7N8+XItW7ZMAwcOlMlkspd3795de/bscWFknomedACAM9GTDgCAlzly5IhiYmIqlefl5Tkk7aidiOCyKdhI0gEAzkCSDgCAl+nfv78+++wz+2tbYv7yyy9r0KBBrgrLY0WU96TnFpWqxGJ1cTQAAE/H5e4AAHiZxx57TKNHj9a2bdtUWlqqp59+Wtu2bdOaNWv07bffujo8jxNWnqRLUnZBiVqGBrgwGgCAp6MnHQAALzN06FBt2rRJpaWl6tmzp7766ivFxMRo7dq16tevn6vD8zg+ZpNaBJb1e2RyyTsAoIHoSQcAwAt16tRJL730kqvDaDbCg/yUU1jKfekAgAYjSQcAwAtZrVbt3r1b6enpslod76M+99xzXRSV54oI9tPB4wXKYho2AEADkaQDAOBlfvrpJ/31r3/V/v37ZRiGwzKTySSLxeKiyDwX07ABAJyFJB0AAC/z97//3T7Ce5s2bZh2zQkigsqmYcvML3ZxJAAAT0eSDgCAl9m1a5f+/e9/q3Pnzq4OpdkIDy7rSWfgOABAQzG6OwAAXmbAgAHavXu3q8NoVrjcHQDgLPSkAwDgBbZs2WJ/Pm3aNN11111KS0tTz5495efn51C3V69eTR2ex4uwJekMHAcAaCCSdAAAvECfPn1kMpkcBoq7/vrr7c9tyxg4rn7oSQcAOAtJOgAAXiAlJcXVITRrEdyTDgBwEpJ0AAC8QIcOHezPv/vuOw0ePFi+vo6nAaWlpVqzZo1DXdROOKO7AwCchIHjAADwMueff76OHTtWqTwrK0vnn3++CyLyfCcudy91cSQAAE9Hkg4AgJex3Xt+soyMDIWEhLggIs9nu9w9q6DY4b5/AADqisvdAQDwEpdddpmkskHiJk+erICAAPsyi8WiLVu2aPDgwa4Kz6PZetJLLIYKSiwK9ucUCwBQPxxBAADwEuHh4ZLKetJbtGihoKAg+zJ/f38NHDhQN954o6vC82jB/j7y8zGpxGIoM7+EJB0AUG8cQQAA8BKvvfaaJCkhIUEzZ87k0nYnMplMCg/y19HcImUVlCguIujUbwIAoArckw4AgJeZPXs2CXojCA8q6/vIzGcaNgBA/ZGkAwAAOEFEcNk0bFkFTMMGAKg/knQAAAAnODENGz3pAID6I0kHAABwgojyJJ3L3QEADUGSDgAA4ARh9KQDAJygUZP0zMzMxmweAADUU2pqqg4dOlRlucViqVNbzz33nBISEhQYGKgBAwbo559/rrbu1q1bdfnllyshIUEmk0mLFi2qVOehhx6SyWRyeHTt2rVOMblCRHB5TzpJOgCgAZyWpC9YsEDLli2zvx4/frxatmyptm3bavPmzc5aDQAAcIKEhAQNHz68yvJu3brpo48+qlU7y5Yt04wZMzR79mxt2LBBvXv31siRI5Wenl5l/fz8fHXs2FHz589X69atq223e/fuOnTokP3xww8/1G7DXMh2uXsWl7sDABrAaUn6kiVLFB8fL0n6+uuv9fXXX+uLL77Q6NGjdffddztrNQAAwAlWrVql119/vcry++67z+GL95osXLhQN954o6ZMmaJu3bppyZIlCg4O1quvvlpl/bPOOktPPPGErr76agUEBFTbrq+vr1q3bm1/REdH127DXCg8mMvdAQAN5+ushtLS0uxJ+qeffqrx48drxIgRSkhI0IABA5y1GgAA4ATDhg2rtnzYsGGaMmXKKdsoLi7W+vXrNWvWLHuZ2WxWUlKS1q5d26D4du3apbi4OAUGBmrQoEGaN2+e2rdvX239oqIiFRUV2V9nZ2c3aP31ERFUNgVbJlOwAQAawGk96ZGRkTpw4IAkacWKFUpKSpIkGYZR53vbAACA+zt69KgsFotiY2MdymNjY5WWllbvdgcMGKClS5dqxYoVWrx4sVJSUnTOOecoJyen2vfMmzdP4eHh9oet46ApMXAcAMAZnNaTftlll+mvf/2runTpooyMDI0ePVqStHHjRnXu3NlZqwEAAPUQFRVVp/omk0kbNmxQhw4dGimi6tnOISSpV69eGjBggDp06KD3339fN9xwQ5XvmTVrlmbMmGF/nZ2d3eSJun3gOO5JBwA0gNOS9KeeekqJiYlKTU3V448/rtDQUEnSoUOHdOuttzprNQAAoB4yMzO1aNEihYeHn7KuYRi69dZbT3klXHR0tHx8fHT48GGH8sOHD9c4KFxdRURE6LTTTtPu3burrRMQEFDjPe5NwTZwXE5hqSxWQz5mk0vjAQB4Jqck6SUlJbr55pv1wAMPKDEx0WHZnXfe6YxVAACABrr66qsVExNTq7rTpk07ZR1/f3/169dPycnJGjdunCTJarUqOTlZU6dObUioDnJzc7Vnzx5dd911TmuzMdgud5ek7IISRYb4uzAaAICncso96X5+fvrwww+d0RQAAGgEVqu11gm6JOXk5Khjx46nrDdjxgy99NJLev3117V9+3bdcsstysvLsw88N3HiRIeB5YqLi7Vp0yZt2rRJxcXF+uOPP7Rp0yaHXvKZM2fq22+/1b59+7RmzRpdeuml8vHx0YQJE+qwxU3Pz8es0ICy/g/mSgcA1JfTLncfN26cli9fTs85AABe5KqrrtKRI0f04IMPKi0tTX369NGKFSvsg8mlpqbKbD7RJ/Dnn3/qzDPPtL9+8skn9eSTT2rYsGFavXq1JOngwYOaMGGCMjIy1KpVKw0dOlQ//fSTWrVq1aTbVh/hQX7KLSpl8DgAQL05LUnv0qWL5s6dqx9//FH9+vVTSEiIw/Lbb7/dWasCAAB19Mknn2j06NHy8/PTJ598UmPdsWPH1qntqVOnVnt5uy3xtklISJBhGDW2995779Vp/e4kPMhPf2QWKDOfadgAAPXjtCT9lVdeUUREhNavX6/169c7LDOZTCTpAAC40Lhx45SWlqaYmBj7/eNVMZlMTJ3aALYR3ulJBwDUl9OS9JSUFGc1dUp//PGH7r33Xn3xxRfKz89X586d9dprr6l///5NFgMAAJ7EarVW+RzOFc5c6QCABnJakm5TXFyslJQUderUSb6+Tm9ex48f15AhQ3T++efriy++UKtWrbRr1y5FRkY6fV0AAAB1wVzpAICGcsro7pKUn5+vG264QcHBwerevbtSU1MllU3hMn/+fGetRgsWLFB8fLxee+01nX322UpMTNSIESPUqVOnKusXFRUpOzvb4QEAgLd55plnVFhYWOv6S5YsUU5OTiNG1DyF0ZMOAGggpyXps2bN0ubNm7V69WoFBgbay5OSkrRs2TJnrUaffPKJ+vfvryuvvFIxMTE688wz9dJLL1Vbf968eQoPD7c/4uPjnRYLAACe4s4776xT0n3PPffoyJEjjRhR8xQRVDY3Oj3pAID6ctr16MuXL9eyZcs0cOBAmUwme3n37t21Z88eZ61Ge/fu1eLFizVjxgz94x//0C+//KLbb79d/v7+mjRpUqX6s2bN0owZM+yvs7OzSdQBAF7HMAwNHz681reiFRQUNHJEzRP3pAMAGsppSfqRI0cUExNTqTwvL88haW8oq9Wq/v3767HHHpMknXnmmfr999+1ZMmSKpP0gIAABQQEOG39AAB4otmzZ9ep/iWXXKKoqKhGiqb5OjG6O1OwAQDqx2lJev/+/fXZZ59p2rRpkmRPzF9++WUNGjTIWatRmzZt1K1bN4eyM844Qx9++KHT1gEAQHNT1yQd9RMRxMBxAICGcVqS/thjj2n06NHatm2bSktL9fTTT2vbtm1as2aNvv32W2etRkOGDNHOnTsdyv73v/+pQ4cOTlsHAABAfTBwHACgoZw2cNzQoUO1adMmlZaWqmfPnvrqq68UExOjtWvXql+/fs5aje6880799NNPeuyxx7R792698847evHFF3Xbbbc5bR0AADQ3UVFROnr0qCQpMjJSUVFR1T7at2+v0aNHa8uWLS6O2vPYp2AjSQcA1JNTJzLv1KlTjSOtO8NZZ52ljz/+WLNmzdLcuXOVmJioRYsW6ZprrmnU9QIA4MmeeuoptWjRQpK0aNGiGusWFRXp888/15QpU7R+/fomiK75sA0cV1xqVWGJRYF+Pi6OCADgaZyWpPv4+OjQoUOVBo/LyMhQTEyMLBaLs1alv/zlL/rLX/7itPYAAGjuKg6uWtVAqycbPXq0U6+E8xahAb7yMZtksRrKzC9R63CSdABA3TjtcnfDMKosLyoqkr+/v7NWAwAAmkB8fLzS09NdHYbHMZlMJwaPY4R3AEA9NLgn/ZlnnpFUdlB6+eWXFRoaal9msVj03XffqWvXrg1dDQAAcBKLxaKnnnpK77//vlJTU1Vc7JhMHjt2zEWRNQ/hQX7KyCtWFiO8AwDqocFJ+lNPPSWprCd9yZIl8vE5cVmXv7+/EhIStGTJkoauBgAAOMmcOXP08ssv66677tL999+v//u//9O+ffu0fPlyPfjgg64Oz+OFM3gcAKABGpykp6SkSJLOP/98ffTRR4qMjGxwUAAAoPG8/fbbeumll3TRRRfpoYce0oQJE9SpUyf16tVLP/30k26//XZXh+jRwpmGDQDQAE67J33VqlWKjIxUcXGxdu7cqdLSUmc1DQAAnCgtLU09e/aUJIWGhiorK0tS2cCsn332mStDaxZs96RzuTsAoD6clqQXFBTohhtuUHBwsLp3767U1FRJ0rRp0zR//nxnrQYAADRQu3btdOjQIUll06d+9dVXkqRffvlFAQEBrgytWYgILhswl550AEB9OC1Jv++++7R582atXr1agYGB9vKkpCQtW7bMWasBAAANdOmllyo5OVlS2ZfpDzzwgLp06aKJEyfq+uuvd3F0ni+M0d0BAA3gtHnSly9frmXLlmngwIEymUz28u7du2vPnj3OWg0AAGigile4XXXVVerQoYPWrFmjLl266OKLL3ZhZM2DfQo2LncHANSD05L0I0eOKCYmplJ5Xl6eQ9IOAABcp6SkRDfffLMeeOABJSYmSpIGDhyogQMHujiy5oOB4wAADeG0y9379+/vMNiMLTF/+eWXNWjQIGetBgAANICfn58+/PBDV4fRrEUEk6QDAOrPaT3pjz32mEaPHq1t27aptLRUTz/9tLZt26Y1a9bo22+/ddZqAABAA40bN07Lly/XnXfe6epQmiV60gEADeG0JH3o0KHatGmT5s+fr549e+qrr75S3759tXbtWvs0LwAAwPW6dOmiuXPn6scff1S/fv0UEhLisJx50hvG1pPOPekAgPowGYZhuDqIppSdna3w8HBlZWUpLCzM1eEAANDkxybbvehVMZlM2rt3b6PH0Nhcebw/klOksx5dKZNJ2vPoGJnNjM0DAN6uLsclp/Wk26Snpys9PV1Wq9WhvFevXs5eFQAAqIeUlBRXh9Cs2S53Nwwpp7BU4eU96wAA1IbTBo5bv369evTooTZt2qhXr17q06eP/XHmmWc6azUAAKCB5s6dq/z8/ErlBQUFmjt3rgsial78fc0K9veRxFzpAIC6c1qSfv311+u0007TmjVrtHfvXqWkpNgfzeGyOQAAmos5c+YoNze3Unl+fr7mzJnjgoiaHwaPAwDUl9Mud9+7d68+/PBDde7c2VlNAgCARmAYhn2q1Io2b96sqKgoF0TU/IQH+elQViGDxwEA6sxpSfrw4cO1efNmknQAANxUZGSkTCaTTCaTTjvtNIdE3WKxKDc3V3//+99dGGHzYR/hnZ50AEAdOS1Jf/nllzVp0iT9/vvv6tGjh/z8HAdJGTt2rLNWBQAA6mHRokUyDEPXX3+95syZo/DwcPsyf39/JSQkaNCgQS6MsPngcncAQH05LUlfu3atfvzxR33xxReVlplMJlksFmetCgAA1MOkSZMklU3BNmTIEPn61nwaMH/+fP39739XREREE0TXvEQE+UuSsvIZOA4AUDdOGzhu2rRpuvbaa3Xo0CFZrVaHBwk6AADuY9iwYadM0CXpscce07Fjx5ogoubHNu0aPekAgLpyWpKekZGhO++8U7Gxsc5qEgAAuJBhGK4OwWPZLndn4DgAQF05LUm/7LLLtGrVKmc1BwAA4LEi6EkHANST0+5JP+200zRr1iz98MMP6tmzZ6WB426//XZnrQoAAMCt2XvSSdIBAHXk1NHdQ0ND9e233+rbb791WGYymUjSAQCA1zgxcBxJOgCgbpyWpKekpDirKQAAAI/GFGwAgPpy2j3pAACgeTnnnHMUFBTk6jA8ku2e9MwCpmADANSN03rSJengwYP65JNPlJqaquJix4PSwoULnbkqAADgBIWFhZWO2WFhYZKkzz//3BUhNQth5T3phSVWFZZYFOjn4+KIAACewmlJenJyssaOHauOHTtqx44d6tGjh/bt2yfDMNS3b19nrQYAADRQfn6+7rnnHr3//vvKyMiotNxisbggqualRYCvzCbJakjZBSUk6QCAWnPa5e6zZs3SzJkz9dtvvykwMFAffvihDhw4oGHDhunKK6901moAAEAD3X333frmm2+0ePFiBQQE6OWXX9acOXMUFxenN954w9XhNQtms4kR3gEA9eK0JH379u2aOHGiJMnX11cFBQUKDQ3V3LlztWDBAmetBgAANNB///tfPf/887r88svl6+urc845R/fff78ee+wxvf32264Or9lg8DgAQH04LUkPCQmx39PWpk0b7dmzx77s6NGjzloNAABooGPHjqljx46Syu4/P3bsmCRp6NCh+u6771wZWrMSHlw2DVsm07ABAOrAaUn6wIED9cMPP0iSxowZo7vuukuPPvqorr/+eg0cONBZqwEAAA3UsWNH+9SpXbt21fvvvy+prIc9IiLChZE1L/SkAwDqw2kDxy1cuFC5ubmSpDlz5ig3N1fLli1Tly5dGNkdAAA3MmXKFG3evFnDhg3Tfffdp4svvljPPvusSkpKOGY7UYTtnvR8pmEDANSeU5J0i8WigwcPqlevXpLKLn1fsmSJM5oGAABOduedd9qfJyUlaceOHVq/fr06d+5sP5aj4WxzpdOTDgCoC6dc7u7j46MRI0bo+PHjzmgOAAA0ojfeeENFRUX21x06dNBll12mrl27Mrq7E3G5OwCgPpx2T3qPHj20d+9eZzUHAAAayZQpU5SVlVWpPCcnR1OmTHFBRM2TfQo2Bo4DANSB05L0Rx55RDNnztSnn36qQ4cOKTs72+EBAADcg2EYMplMlcoPHjyo8PBwF0TUPNGTDgCoD6cNHDdmzBhJ0tixYx0O/LYTAYvF4qxVAQCAejjzzDNlMplkMpk0fPhw+fqeOA2wWCxKSUnRqFGjXBhh8xJhm4KNJB0AUAdOS9JXrVrlrKYAAEAjGDdunCRp06ZNGjlypEJDQ+3L/P39lZCQoMsvv9xF0TU/9oHjGN0dAFAHTkvShw0b5qymAABAI5g9e7YkKSEhQVdddZUCAwNdHFHzxuXuAID6cFqSbpOfn6/U1FQVFzt+a8yULgAAuIdJkyYpMzNTb731lvbs2aO7775bUVFR2rBhg2JjY9W2bVtXh9gsRFRI0q1WQ2Zz5XEAAAA4mdOS9CNHjmjKlCn64osvqlzOPekAALiHLVu2KCkpSeHh4dq3b59uvPFGRUVF6aOPPlJqairTsDlJWHmSbjWk3OJShQX6uTgiAIAncNro7tOnT1dmZqbWrVunoKAgrVixQq+//rq6dOmiTz75xFmrAQAADXTnnXdq8uTJ2rVrl8Ml72PGjNF3333nwsial0A/HwX6lZ1qZTENGwCglpzWk/7NN9/oP//5j/r37y+z2awOHTrowgsvVFhYmObNm6eLLrrIWasCAAAN8Ouvv+rFF1+sVN62bVulpaW5IKLmKzzIT4UlRcoqKFG8q4MBAHgEp/Wk5+XlKSYmRpIUGRmpI0eOSJJ69uypDRs2OGs1AACggQICApSdnV2p/H//+59atWrlgoiar4ig8mnY6EkHANSS05L0008/XTt37pQk9e7dWy+88IL++OMPLVmyRG3atHHWagAAQAONHTtWc+fOVUlJWeJoMpmUmpqqe++9lynYnCy8fBq2zAKmYQMA1I7TkvQ77rhDhw4dklQ2xcsXX3yh+Ph4Pf3003rsscectRoAANBA//znP5Wbm6uYmBgVFBRo2LBh6ty5s1q0aKFHH33U1eE1K0zDBgCoK6fdk37ttdfan/ft21f79+/Xjh071L59e0VHRztrNQAAoIHCw8P19ddf64cfftCWLVuUm5urvn37KikpydWhNTu2adi43B0AUFtOnSf9lVde0VNPPaVdu3ZJkrp06aLp06frb3/7mzNXAwAAnGDo0KEaOnSoq8No1mw96dn0pAMAaslpSfqDDz6ohQsXatq0aRo0aJAkae3atbrzzjuVmpqquXPnOmtVAACggZKTk5WcnKz09HRZrVaHZa+++qqLomp+IoLpSQcA1I3TkvTFixfrpZde0oQJE+xlY8eOVa9evTRt2jSSdAAA3MScOXM0d+5c9e/fX23atJHJZHJ1SM1WeHD56O4MHAcAqCWnJeklJSXq379/pfJ+/fqptLTUWasBAAANtGTJEi1dulTXXXedq0Np9hg4DgBQV04b3f26667T4sWLK5W/+OKLuuaaa5y1GgAA0EDFxcUaPHiwq8PwCgwcBwCoK6cPHPfVV19p4MCBkqR169YpNTVVEydO1IwZM+z1Fi5c6MzVAgCAOvjb3/6md955Rw888ICrQ2n2GDgOAFBXTkvSf//9d/Xt21eStGfPHklSdHS0oqOj9fvvv9vrcd8bAABNr+KX5VarVS+++KJWrlypXr16yc/Pz6EuX6Y7j33gOJJ0AEAtOS1JX7VqlbOaAgAATrZx40aH13369JEkhy/S4XwRQWUDx+UXW1RcapW/r9PuNAQANFNOvdwdAAC4J75Md40Wgb4ymSTDKBs8rlWLAFeHBABwc3ydCwCAl7n++uuVk5NTqTwvL0/XX399ndt77rnnlJCQoMDAQA0YMEA///xztXW3bt2qyy+/XAkJCTKZTFq0aFGD23RnZrNJYYG2Ed6Zhg0AcGok6QAAeJnXX39dBQUFlcoLCgr0xhtv1KmtZcuWacaMGZo9e7Y2bNig3r17a+TIkUpPT6+yfn5+vjp27Kj58+erdevWTmnT3TENGwCgLkjSAQDwEtnZ2crKypJhGMrJyVF2drb9cfz4cX3++eeKiYmpU5sLFy7UjTfeqClTpqhbt25asmSJgoOD9eqrr1ZZ/6yzztITTzyhq6++WgEBVV/6Xdc23Z198DimYQMA1AL3pAMA4CUiIiJkMplkMpl02mmnVVpuMpk0Z86cWrdXXFys9evXa9asWfYys9mspKQkrV27tl4x1rfNoqIiFRUV2V9nZ2fXa/2NgZ50AEBdkKQDAOAlVq1aJcMwdMEFF+jDDz9UVFSUfZm/v786dOiguLi4Wrd39OhRWSwWxcbGOpTHxsZqx44d9Yqxvm3OmzevTl8wNCVbkk5POgCgNkjSAQDwEsOGDZMkpaSkqH379jKZTC6OyHlmzZrlMBd8dna24uPjXRjRCcyVDgCoC+5JBwDAC6Smptqfd+jQ4ZQJ+h9//HHKNqOjo+Xj46PDhw87lB8+fLjaQeEaq82AgACFhYU5PNyFrSc9myQdAFALJOkAAHiBs846SzfffLN++eWXautkZWXppZdeUo8ePfThhx+esk1/f3/169dPycnJ9jKr1ark5GQNGjSoXnE2RpuuFhHkL0nKzGcKNgDAqXG5OwAAXmDbtm169NFHdeGFFyowMFD9+vVTXFycAgMDdfz4cW3btk1bt25V37599fjjj2vMmDG1anfGjBmaNGmS+vfvr7PPPluLFi1SXl6epkyZIkmaOHGi2rZtq3nz5kkqGxhu27Zt9ud//PGHNm3apNDQUHXu3LlWbXoaBo4DANQFSToAAF6gZcuWWrhwoR599FF99tln+uGHH7R//34VFBQoOjpa11xzjUaOHKkePXrUqd2rrrpKR44c0YMPPqi0tDT16dNHK1assA/8lpqaKrP5xIV7f/75p84880z76yeffFJPPvmkhg0bptWrV9eqTU8Tzj3pAIA6MBmGYbg6iKaUnZ2t8PBwZWVludX9agAA78WxyfncaZ+u25uhq178SR2jQ/TNzPNcGgsAwDXqclzinnQAAIBGZOtJ53J3AEBtcLk7AABeJi8vT/Pnz1dycrLS09NltVodlu/du9dFkTVP9oHjCkpkGEazmvoOAOB8JOkAAHiZv/3tb/r222913XXXqU2bNiSNjcw2cJzFaiiv2KLQAE6/AADV4ygBAICX+eKLL/TZZ59pyJAhrg7FKwT6meXva1ZxqVWZ+cUk6QCAGnn0Penz58+XyWTS9OnTXR0KAAAeIzIyUlFRUa4Ow2uYTCZFlPemZ+ZzXzoAoGYem6T/8ssveuGFF9SrVy9XhwIAgEd5+OGH9eCDDyo/P9/VoXgN2yXv2QweBwA4BY+83io3N1fXXHONXnrpJT3yyCOuDgcAAI/yz3/+U3v27FFsbKwSEhLk5+fnsHzDhg0uiqz5imCudABALXlkkn7bbbfpoosuUlJS0imT9KKiIhUVFdlfZ2dnN3Z4AAC4tXHjxrk6BK9j60lnGjYAwKl4XJL+3nvvacOGDfrll19qVX/evHmaM2dOI0cFAIB7e+aZZ3TTTTcpMDBQU6ZMUbt27WQ2e+xdbx4n3DYNG/ekAwBOwaOOzgcOHNAdd9yht99+W4GBgbV6z6xZs5SVlWV/HDhwoJGjBADA/cyYMcN+NVliYqKOHj3q4oi8Cz3pAIDa8qie9PXr1ys9PV19+/a1l1ksFn333Xd69tlnVVRUJB8fH4f3BAQEKCAgoKlDBQDArcTFxenDDz/UmDFjZBiGDh48qMLCwirrtm/fvomja/5s96RnFRS7OBIAgLvzqCR9+PDh+u233xzKpkyZoq5du+ree++tlKADAIAy999/v6ZNm6apU6fKZDLprLPOqlTHMAyZTCZZLBYXRNi82QeO43J3AMApeFSS3qJFC/Xo0cOhLCQkRC1btqxUDgAATrjppps0YcIE7d+/X7169dLKlSvVsmVLV4flNbjcHQBQWx6VpAMAgPqzfdn92muvaciQIae8Hezdd9/V2LFjFRIS0kQRNl+2JJ2edADAqXh8kr569WpXhwAAgEeZNGlSrerdfPPNGjBggDp27NjIETV/9KQDAGrLo0Z3BwAATccwDFeH0GxEBJdNwUaSDgA4FZJ0AACARhZR3pOeW1SqEovVxdEAANwZSToAAEAjCytP0iUpm950AEANSNIBAAAamY/ZpBaBZUMBZZKkAwBqQJIOAADQBBg8DgBQGyTpAACgSh06dJCfn9+pK6JWIoLLk3SmYQMA1IAkHQAAL9OxY0dlZGRUKs/MzHSYbu33339XfHx8U4bWrEUElY3wnllQ7OJIAADujCQdAAAvs2/fPlkslkrlRUVF+uOPP1wQkXewX+5OTzoAoAa+rg4AAAA0jU8++cT+/Msvv1R4eLj9tcViUXJyshISElwQmXcIL7/cnYHjAAA1IUkHAMBLjBs3TpJkMpk0adIkh2V+fn5KSEjQP//5TxdE5h0YOA4AUBsk6QAAeAmr1SpJSkxM1C+//KLo6GgXR+RdIrjcHQBQCyTpAAB4mZSUlEplmZmZioiIaPpgvAg96QCA2mDgOAAAvMyCBQu0bNky++srr7xSUVFRatu2rTZv3uzCyJq3CO5JBwDUAkk6AABeZsmSJfap1b7++mutXLlSK1as0OjRo3X33Xe7OLrmK9w2BVs+U7ABAKrH5e4AAHiZtLQ0e5L+6aefavz48RoxYoQSEhI0YMAAF0fXfJ243L3UxZEAANwZPekAAHiZyMhIHThwQJK0YsUKJSUlSZIMw6hy/nQ4h+1y96yCYhmG4eJoAADuip50AAC8zGWXXaa//vWv6tKlizIyMjR69GhJ0saNG9W5c2cXR9d82XrSSyyGCkosCvbnNAwAUBlHBwAAvMxTTz2lhIQEHThwQI8//rhCQ0MlSYcOHdKtt97q4uiar2B/H/n5mFRiMZSZX0KSDgCoEkcHAAC8jJ+fn2bOnFmp/M4773RBNN7DZDIpPMhfR3OLlJlforiIIFeHBABwQyTpAAB4oT179mjRokXavn27JKlbt26aPn26Onbs6OLImrfwIF8dzS1irnQAQLUYOA4AAC/z5Zdfqlu3bvr555/Vq1cv9erVS+vWrVO3bt309ddfuzq8Zi0iuGwatqwCpmEDAFSNnnQAALzMfffdpzvvvFPz58+vVH7vvffqwgsvdFFkzd+JadjoSQcAVI2edAAAvMz27dt1ww03VCq//vrrtW3bNhdE5D0iypP0zHySdABA1UjSAQDwMq1atdKmTZsqlW/atEkxMTFNH5AXCS+fKz2TnnQAQDW43B0AAC9z44036qabbtLevXs1ePBgSdKPP/6oBQsWaMaMGS6OrnnjcncAwKmQpAMA4GUeeOABtWjRQv/85z81a9YsSVJcXJweeugh3X777S6OrnmzXe6exeXuAIBqkKQDAOBlTCaT7rzzTt15553KycmRJLVo0cLFUXkH2+Xu9KQDAKpDkg4AgJdJSUlRaWmpunTp4pCc79q1S35+fkpISHBdcM1cRFDZFGyZTMEGAKgGA8cBAOBlJk+erDVr1lQqX7dunSZPntz0AXmRMO5JBwCcAkk6AABeZuPGjRoyZEil8oEDB1Y56jucJyKYKdgAADUjSQcAwMuYTCb7vegVZWVlyWKxuCAi72EbOC6nsFS5RaUujgYA4I5I0gEA8DLnnnuu5s2b55CQWywWzZs3T0OHDnVhZM1fVIi/EloGS5Je/HaPi6MBALgjBo4DAMDLLFiwQOeee65OP/10nXPOOZKk77//XtnZ2frmm29cHF3zZjKZdO+orrrl7Q168fu9mjCgvdqEB7k6LACAG6EnHQAAL9OtWzdt2bJF48ePV3p6unJycjRx4kTt2LFDPXr0cHV4zd6oHq11VkKkCkuseuLLna4OBwDgZkyGYRiuDqIpZWdnKzw8XFlZWQoLC3N1OAAAuO2x6dZbb9XcuXMVHR3t6lDqzF33qc3mA5m65LkfJUmfThuqHm3DXRwRAKAx1eW4RE86AACo0ltvvaXs7GxXh9Es9Y6P0CV94iRJj3y2TV7WZwIAqAFJOgAAqBKJY+O6e+Tp8vc166e9x7Rye7qrwwEAuAmSdAAAABdoFxmsG4YmSpLmfb5dJRariyMCALgDknQAAAAXufW8TmoZ4q+9R/P09k/7XR0OAMANkKQDAAC4SItAP9154WmSpKeTdymroMTFEQEAXI0kHQAAwIWuPiteXWJCdTy/RM+t2u3qcAAALkaSDgAAqnTttde65fRlzY2vj1n/GHOGJGnpj/uUmpHv4ogAAK7k6+oAAABA49uyZUut6/bq1UuStHjx4sYKByc57/RWGto5Wj/sPqoFK3bouWv6ujokAICLkKQDAOAF+vTpI5PJVO20arZlJpNJFouliaODyWTS/110hsY8870+++2Qrt9/TP06RLk6LACAC5CkAwDgBVJSUlwdAk7hjDZhGt8vXst+PaBHPtuuj24ZLJPJ5OqwAABNjCQdAAAv0KFDB1eHgFq4a8Rp+u+WP7UxNVOfbjmki3vHuTokAEATI0kHAMBLbdu2TampqSouLnYoHzt2rIsiQkxYoG4+t5OeWvk/LVixQxd2i1Wgn4+rwwIANCGSdAAAvMzevXt16aWX6rfffnO4T912aTX3pLvWjecm6p2f9+vg8QItXbNPfx/WydUhAQCaEFOwAQDgZe644w4lJiYqPT1dwcHB2rp1q7777jv1799fq1evdnV4Xi/Y31d3j+wqSXrum93KyC1ycUQAgKZEkg4AgJdZu3at5s6dq+joaJnNZpnNZg0dOlTz5s3T7bff7urwIOmyM9uqe1yYcopK9XTyLleHAwBoQiTpAAB4GYvFohYtWkiSoqOj9eeff0oqG1xu586drgwN5czmsinZJOntdananZ7r4ogAAE2FJB0AAC/To0cPbd68WZI0YMAAPf744/rxxx81d+5cdezY0cXRwWZwp2glnREji9XQ/C+2uzocAEATIUkHAMDL3H///bJarZKkuXPnKiUlReecc44+//xzPfPMMy6ODhXdN/oM+ZhNWrk9XWt2H3V1OACAJsDo7gAAeJmRI0fan3fu3Fk7duzQsWPHFBkZaR/hHe6hc0yorhnQXm+s3a9HPtuu/04bKh8zvyMAaM7oSQcAwMtkZWXp2LFjDmVRUVE6fvy4srOzXRQVqnPH8C5qEeirbYey9dGGg64OBwDQyEjSAQDwMldffbXee++9SuXvv/++rr766jq399xzzykhIUGBgYEaMGCAfv755xrrf/DBB+ratasCAwPVs2dPff755w7LJ0+eLJPJ5PAYNWpUneNqLlqGBmjq+Z0lSU9+tVP5xaUujggA0JhI0gEA8DLr1q3T+eefX6n8vPPO07p16+rU1rJlyzRjxgzNnj1bGzZsUO/evTVy5Eilp6dXWX/NmjWaMGGCbrjhBm3cuFHjxo3TuHHj9PvvvzvUGzVqlA4dOmR/vPvuu3WKq7mZNDhB7SKDdDi7SC99l+LqcAAAjYgkHQAAL1NUVKTS0sq9sSUlJSooKKhTWwsXLtSNN96oKVOmqFu3blqyZImCg4P16quvVln/6aef1qhRo3T33XfrjDPO0MMPP6y+ffvq2WefdagXEBCg1q1b2x+RkZF1iqu5CfTz0b2jukqSlny7R4ezC10cEQBvYbEaWr//uJ74coemvbtRX21Nk2EYrg6rWSNJBwDAy5x99tl68cUXK5UvWbJE/fr1q3U7xcXFWr9+vZKSkuxlZrNZSUlJWrt2bZXvWbt2rUN9qWwgu5Prr169WjExMTr99NN1yy23KCMjo8ZYioqKlJ2d7fBobv7Sq43ObB+hghKL/vkV89kDaDzZhSX6dMufmrFsk856dKUuX7xGz63ao/9u/lM3vbleo5/+Xp9tOSSrlWS9MTC6OwAAXuaRRx5RUlKSNm/erOHDh0uSkpOT9csvv+irr76qdTtHjx6VxWJRbGysQ3lsbKx27NhR5XvS0tKqrJ+WlmZ/PWrUKF122WVKTEzUnj179I9//EOjR4/W2rVr5ePjU2W78+bN05w5c2oduycymUy6/6JuunzxGn2w/qAmD05Ut7gwV4cFoBkwDEN7j+bpm+3p+mZHun7Zd0ylFRLwsEBfDTs9RjEtArTslwPakZaj297ZoM4xobrt/E66uFecfH3o/3UWknQAALzMkCFDtHbtWj3++ON6//33FRQUpF69eumVV15Rly5dXB2ew+B1PXv2VK9evdSpUyetXr3a/qXCyWbNmqUZM2bYX2dnZys+Pr7RY21q/TpE6qJebfTZlkN69PNteuuGAUybB6Beikut+mXfMSVvT9c3Ow5rX0a+w/LOMaEa3jVGF3SNUb8OkfYk/PYLuui1NSl69YcU7U7P1Z3LNuvplbt063mddWnftvIjWW8wknQAALxQnz599M477zSojejoaPn4+Ojw4cMO5YcPH1br1q2rfE/r1q3rVF+SOnbsqOjoaO3evbvaJD0gIEABAQF13ALPdN+orvp662H9uDtDq3am64Kusad+EwBIOppbpFU7ynrLv991VLlFJ8Yn8fMxaWDHlrqgPDHv0DKkyjbCg/00Pek03TA0UW+s3a9XfkjRvox83fPhFj2dvEu3nNdJV/ZvpwDfqq98wqmRpAMA4IUsFouWL1+u7du3S5K6d++usWPHVns5eVX8/f3Vr18/JScna9y4cZIkq9Wq5ORkTZ06tcr3DBo0SMnJyZo+fbq97Ouvv9agQYOqXc/BgweVkZGhNm3a1Dq25iw+KliThyToxe/26rHPd+jcLq24zBRAlQzD0NY/s/VNeWK++WCmKo75Fh0aoAu6ttIFXWM1tEu0QgNqnx62CPTTbed31pQhCXr7p1S98N1e/ZFZoPuX/65nv9mtm4d11ISz2yvQj2S9rkyGlw3Nl52drfDwcGVlZSksjPu4AACu19THpt27d+uiiy7SwYMHdfrpp0uSdu7cqfj4eH322Wfq1KlTrdtatmyZJk2apBdeeEFnn322Fi1apPfff187duxQbGysJk6cqLZt22revHmSyqZgGzZsmObPn6+LLrpI7733nh577DFt2LBBPXr0UG5urubMmaPLL79crVu31p49e3TPPfcoJydHv/32W617y5v78T6roETnPbFKx/NL9PC4HrpuYAdXhwTAjew9kqu3fkrV578dUtpJs0H0aBumC7rGanjXGPVsGy6z2Tm3zBSWWPTez6la8u1e+zqjQwN007mJumZAB4XU4QuA5qguxyWSdAAAXKypj01jxoyRYRh6++23FRUVJUnKyMjQtddeK7PZrM8++6xO7T377LN64oknlJaWpj59+uiZZ57RgAEDJJXNvZ6QkKClS5fa63/wwQe6//77tW/fPnXp0kWPP/64xowZI0kqKCjQuHHjtHHjRmVmZiouLk4jRozQww8/XGnAuZp4w/H+9TX7NPuTrWoZ4q/Vd5+nFoF+rg4JkkotVu08nKMDxwrUPipYHVuF0JOIJlFqsSp5R7reXLtfP+w+ai8P8vPR0C7RGt41Rud3jVFsWGCjxlFUatG/1x/U4tV7dPB42bSekcF++ts5HXXdoA4K89J/q0jSa+ANB20AgGdp6mNTSEiIfvrpJ/Xs2dOhfPPmzRoyZIhyc3MbPYbG5g3H+xKLVSMXfae9R/J0y3md7POouwOr1dD2tGyt2Z2hH3Yf1Yb9x+XjY1JksL8ig/3KfoaUPw/xLy8vex0V4q+IYH9FBPt5xABUWfkl2nDguDbsP671+49r84FM5RVb7MtNJqldZJA6twpVp1ah6hwTqk4xoercKlSRIf4ujBzNRXpOoZb9fEDv/JyqQ1llPdgmkzS8a4yuPqu9hnaJdskXRSUWqz7e+IeeX7XbPihdWKCvJg9J1PVDEhQR7F2f/7ocl7z7mgMAALxQQECAcnJyKpXn5ubK39+7Tpo8mZ+PWbNGn6Eb3/hVL3+/V9v+zFaf+Aj1iY9Q7/gIRTVxAnjgWL5+2H1UP+4+qjV7MnQsr7hSncz8EqXUoc0Wgb72pD3qpOQ+NixQ7aOCFR8VrNiwQPk46ZLdmlithvYezdWG/Zlav/+41qce1+70yl9qhQb4KiE6WKkZ+couLNWBYwU6cKxAq3YecajXMsRfnVqVJe2dWoWUJfCtQtU2IshplyCjeTIMQ7/sO643f9qvFb8fUomlrN81KsRfV50Vr7+e3V7xUcEujdHPx6zx/eN12Zlt9emWQ3p21W7tTs/VM8m79OoPKbpuUAf9bWiiWoZ6x6CfdUFPOgAALtbUx6aJEydqw4YNeuWVV3T22WdLktatW6cbb7xR/fr1c7g03VN5y/HeMAzd8tYGrdiaVmlZh5bBZQl7uwj1aR+hbm3CnNqblpFbpLV7M/Tj7qP6YfdRHThW4LA82N9HAxKjNKRztAZ1ail/H7OO5RXreH6JjucXlz1sr/PKX5cvy8wvqVMs/j5mtY0MUnxUsNpHBSk+MtiewMdHBSs8qH6X1+YVlWrzgUxtSC3rJd+QmqmsgsqxJUaH6Mz2EerXIVL9OkSqS0wL+ZhNMgxDR3OLtedIrvYcydXu9FztOZKnPem5+iOzoIo1lgn0M6tjdKg9aS/rfQ9Rh6gQBflz6bw3yy0q1fKNf+itn/ZrR9qJL1v7to/QdYM6aHSPNm57e4XVauiL39P0r2922WMP8vPRwI5R6tkuQr3bhatnu3DFtGjcy/Fdhcvda+AtB20AgOdo6mNTZmamJk2apP/+97/y8ytLXkpLSzV27FgtXbpU4eHhjR5DY/Om473Vaui3P7K06UCmNh3I1OYDmdp7NK9SPT8fk85oE+bQ257YMqTWPbb5xaX6OeWYftx9VD/uztC2Q9kOy33NJp3ZPkKDO0VraJdo9W4XIX/f+l2ubrEayioo0bG8YmXmF5cn9ycS+mN5xTqUVagDx/P1x/EClVprPp0NC/RV+5bliXvkieS9fVSw2kYEyd/XLMMwdPB4QXkyXpaUbz+UrZObDvA1q3d8WULet32k+raPqFdPYH5xqfYeyauQvJf93Hc0X8UWa7Xvax0WqPYtg5XQMlgdWoaoQ8tgJbQMUfuWwV57r29FJRarMsu/7DmWV/ZF0LHyL4Tyii2KjwxWl1jPu91g1+EcvfnTfn204Q/7tGmBfmaN69NW1w7soB5tPeffbavV0Mrth/Wvb3brtz+yKi1vHRaonu3C1attWdLeq13TXxnUGEjSa+BNB20AgGdw1bFp165d2rFjhyTpjDPOUOfOnZts3Y3N24/3mfnF2nLwROK+6UBmlZefhwX6qnd50m5L3KPLE85Si1WbD2bZe8o3ph63X1Jr07V1Cw3pHK2hnaN1VmJUnaZvcpZSi1Vp2YVKPZavg8cKlHosX6nH8nXgeL4OHMvX0dzK212RySS1CQtUidXQkZyiSsvjwgPVt7yHvG/7SJ3RJqzeXz7URqnFqgPHC7QnPbdSAp9dWFrje6NC/NU+yjGBt/1sGeIvk6lul9AXlVqUmV9SKdk9llchCc4vVkZu2U+L1VBIgK+C/HwUEuCjYH/fEz/9fRQcUP6zYrl9ua+CA3zsP4P9fGQymexf1tjWV/alTdVJ+LG84lPuo4qiQ/3VOSZUXWJalP8MVefYULUKDajzvmoMJRarvtp6WG/+tE8/7T1mL+8YHaJrB3bQ5f3a1fsqEXdgGIb936ktB7P02x+Z2p2eW+mLMalsXIde7cLVs22EerULV4+24U227bZ0uaGfCZL0Gnj7QRsA4H44Njkf+9SRrZd4Y3lP+6YDmfr9jywVlVbusW0XGaT2UcHacjDL3mNn0zYiSEM6t9SQztEa3ClarVq4/72keUWlOni8QAfKk/fUY/k6eLw8kT9WoIKSE4O8+fmY1C0uXP3alyflHSLUJjzIhdE7yswv1r6MfO3PyNP+jHzty8hTaka+9mXk62hu5S8YKgoN8C1P2ssT96hgGVLlRDe/RMfyinQ8r6TS799TmExSRFDZoIRR5eMYRAX7K9DPrP3H8rXrcM23G4QF+qpLbIuypL380SW2heLCA5skeU/LKtS7P6fq3Z9TlV7+xZHZJF3YLVbXDUzQ4E4tm+2YBXlFpdp2KFtbDmZpy8FM/XYwq8orgyQpoWWwerWLKE/ew9W9bXiVXxQWlVqUU1iqnMJSZReUlD8v+5ldWKLsCq9zCkuUXVCqnKISh/f8en9Sgwe6I0mvAQdtAIC7aYpj04wZM2pdd+HChY0SQ1PieH9qJRardqblOCTuJw+CFhHsp8GdypLyIZ2i1aFlsFv0MDqL7Z7x1GP5kgx1jwt32/t5TyW3qFSp5Qn8vox8pR7L076jZV9G/JlVoPqe8ZtNZT30kRWS3cgQf0WFlA3kFxVS9rpliL98zCYVFFuUV2xRflFp2c/iUuUVnfSzfHl+sePrvGKL8opKK92+EFY+gKBt/RHB5et3iMffHk94kN8pBxLMKyq73WBXeo52pedq1+GyKxb2Z+RV2ZMrSSH+PmUj85f3vndqFaKQAF8ZhmTIKP8pWcuf2MvKyw3DKG/bqFBWVs9qlF1FsXL7YX259bAs5UFEhwZowtnxmnB2e8VFuM8XRk0pu7BEv/+Rpd8OZmlL+c+yv1lHJpPUqVWoQvx9yhPwsiS8uIovI+vq+3vOb/BAfCTpNeCgDQBwN01xbDr//PNrVc9kMumbb75plBiaEsf7+skuLNFvB7O0PyNfvdqFq1ubsGbbY+dNCkssOng8v7z3PV+pGXnafyxfvmaTQ6JdMQGPCglQVLC/WgT6NvlnoLjUqvziUpVYjCafiq+wxKKUo3nanZ6rXem52p2eo12Hc7UvI6/S7R6N6eyEKF07qINGdW/dqLdXeKrjecX6/c8shx73P8unn6tOiwBftQj0VYtAP7UI9FVYkF/567KysMATr8MC/RQWdKJuq9AA+Tbwc0iSXgMO2gAAd8OxyfnYpwCcqcRi1f6MfHvSvvtIrvYeyVNxqVW2i0tMJpPMprIeXZNM5T8lmUwylf2QucJzk8oqVHzdJTZUfx3QXl1b8+9WXR3JKdLWP7NUajEqJeChAb5NMk1jTZr1POnz5s3TRx99pB07digoKEiDBw/WggULdPrpp7s6NAAAAADNkJ+P2X5/+qgero4GVWnVIkDnnR7j6jCcwuOunfj2229122236aefftLXX3+tkpISjRgxQnl5VQ8oAAAAAACAp/C4nvQVK1Y4vF66dKliYmK0fv16nXvuuZXqFxUVqajoxGiX2dnZleoAAAAAAOAOPK4n/WRZWVmSpKioqCqXz5s3T+Hh4fZHfHx8U4YHAAAAAECteXSSbrVaNX36dA0ZMkQ9elR9c8isWbOUlZVlfxw4cKCJowQAAAAAoHY87nL3im677Tb9/vvv+uGHH6qtExAQoICAgCaMCgAAAACA+vHYJH3q1Kn69NNP9d1336ldu3auDgcAAAAAgAbzuCTdMAxNmzZNH3/8sVavXq3ExERXhwQAAAAAgFN4XJJ+22236Z133tF//vMftWjRQmlpaZKk8PBwBQUFuTg6AAAAAADqz+MGjlu8eLGysrJ03nnnqU2bNvbHsmXLXB0aAAAAAAAN4nE96YZhuDoEAAAAAAAahcf1pAMAAAAA0FyRpAMAAAAA4CZI0gEAAAAAcBMk6QAAAAAAuAmSdAAAAAAA3ARJOgAAAAAAboIkHQAAAAAAN0GSDgAAAACAmyBJBwAAAADATZCkAwAAAADgJkjSAQAAAABwEyTpAAAAAAC4CZJ0AAAAAADcBEk6AAAAAABugiQdAAAAAAA3QZIOAAAAAICbIEkHAAAAAMBNkKQDAAAAAOAmSNIBAAAAAHATJOkAAAAAALgJknQAAAAAANwESToAAAAAAG6CJB0AAAAAADdBkg4AAAAAgJsgSQcAAAAAwE34ujoAAIB7sFgNlVisKrUaKrVYVWIxVGq1qtRyorzEUva61Fq+3GKopLxOqcWqkvL3SpKfj1n+vmb5l//0s/80KcDXLH8fH/n5muTvY5afrZ6PWWazycV7AgAAwHVI0puZUotVGXnFSs8uUl5xqUosVpVYrCouNezPSyxWFVsMlZSe9NpitZfZX5c/LFaj2nWaVPUJtama82zDkCyGIavVkMUwZLGeeFgNQ6XWisski9VavkwqtVpltZYlE7Y2DIe2HeM8OeqKi0+uWxazSWaTZDaZHJ6bTeXLzLbXJpkqLKuqviHZt6viNlsNW+yyb7PVMOzbWHG/2N5nGIZMprI9bTaZpLL/7XFUKjebHJZLtm1wjN/HbHLYBh9z2Xb4VNhOc3k9k8kkn5P2gY/ZJMM48TswjLLttu3bstdl22Hb3fbX5b8g2+vqPjv2z5fjD3sd23L76wrvtVqrX5+1PO4Ty068thpGpW2xba/ts+Dw/KT9Yv8cmE9+Xv6eSp+8E5+/6lS3pNRaMWG2JdgVyk5KskurKSuxWiv9HlzF12yqkNCb5e9Ttv8qfl5PPD/xuzCby38X5b+PKuuYTA6fV1X4/Dl8dlXhsyHHz3T5u2QYUrvIID1+Re+m2TEAAMArkKR7iPziUqVnFyk9p0hHcoqUnlNY4XmR0rMLdTS3SBl5xW5zog0ns/9i+QWj6fiaTfL1McnPbJavj0m+Pmb5mct++vqU9YL7+pjkay7rIfctryep/Es+Q8WlVhWXfwFYVGpVsf3LQ6u9TkVlXzxYVFBiccUm10mXmFBXhwAAAJoZknQ3kZZVqHUpGfojs8CeeB/JLtKR3LIEPK+49ierPmaTokP9FRboJ9/yXig/n7IeqbJLSiu89jHL3/ek17blJ/ViVVTVFwFVpo7VfGNg6/HyMZ/0KO9x9DWb7HXszyvU8TmpV62iyp2RpmqXn1zV1pNmLe9NtVpP9Kraerytxkl1HJbb3mdU2k6HHsAqevx8TCZ7D23Fnlmf8l7xEz17J2Kw9VBX2Ttc/txaoV7lbSlry96jX769tt57S3lvv2Hr/S/v6T/R82+U9WSX9w7bevsr9mqbZKrw+sRyW/mJ+qYKvwXHj49R6fXJvZq25Y6ft+rXd9JzWx1TxdeO22K177+y/WL7PVtP2p8WaxX1TqpbG7WpZsiQT3ly7GOuPpH2NVdIon3M9p5qH7PJXlaxvr2d8isoGpvVapyUuJcn9haL/SqgU30mK16V4vCZPun3ZSn/zJ64EuPE58NWcOJqjZo/z5IUFujX6PsHAAB4F5J0F8nML9baPRlasydDP+45qr1H8k75nmB/H8W0CFCrFgGKaRGoVvbnAYoJC1Sr0ADFhAUoKtifezoBeAyz2aRAs48C/XxcHQoAAIDLkaQ3kfziUv2cckxry5PyrX9mO/SUmU1Sj7bh6hwTqpgWgRWS8fIEvEWAQgP4dQEAAABAc0bW10iKS63adCBTa/Yc1ZrdGdp44Hil+y67xIRqSOdoDe7UUgM6tlR4EJdNAgAAAIA3I0l3EqvV0LZD2Vqz56h+3J2hX/YdU/5J95G3jQjSkM4tNaRztAZ1bKnoFv4qLC1Ufmm+ckoP68jxQpUapbIa1uofsspqLf9ZQz2LUbt72I06DkJWcSR3272q9tG1ZXIsO3n07ZOXO8nJo3+fvM5q463iXtuKy2z/2dqubllV7VbcVmc71e+gqvLa/i5ssVdZp0IbJ29rbWI9aUGt6p+8DystP0X92qjtZ7HivqgurpP338kx1fT5r7LsFNtvc+IefaNyWRXLKr6urt7J/zZUqn+KehW3wbbPTv5MVfxbspefVFbT35nDa8d/AKpc1hj//lRsFwAAwBlI0hvg25/f1s971mh/bpEO5BYpx2pVsclQidmqoGirQnyl0BCzgoKkAH+LrCrWptICrd1RoMLfC1VoKXT1JgAAGqBTeCctH7fc1WEAAIBmhCS9Af696XWtDjgk+UuKqrpOoSQVlD9qECSzAk0+8lX5iN8qf5z03KTykb9lktlklrm8t8lHJpnKX/uYzDKVL69OVb3PFZdWrcL8wRWe2+aePlHLqDTadsX3NMxJo8xXjKPia8OxVpV1qn2P4bDMYV7kSmuuXMdxad23qTpVxm04bp3jJG0nRnqvKiajmm2odrlD27LPK159vDVvx6nrG1Uuc3huVF2npvU3pFZ1n6Hmzj7aub1n2rFcJ5eX9ywbhuNfhO3fgWa13woyXB0BAABoZkjSG6BTRCcdO56hMLMUZpJCZVWwpVRBlhIFlpYoqKRIQYZVgYahYKtVQYahIKuhQMNQkGG1Pw80DFWfTgPwBJUT+ap/Vvc++2vTyctN1ddV5YTZVKGWyXBcpkp1a/7Z2IwqHvZyU9m2Vyyv+L6qfkon9l+FvVBtXWcwtwxycosAAMDbkaQ3wPTxi2uuYBiSpVgqzpNKCsof+eU/Tyorzi/7abVIhrXCo8Jrq6V8AuzaLqum/7Gu5bZlDvddnnQaX+mezFMtP0mlSaGrOJWucuLoimnKySHUtM7avMdUc3mt6lah2gmwa0gfKu3/U62zlr8fU1VlNW1rHbazXmrZpkvuAa5q26u63/zUdRstfuOkVLQurxvy3go/HJabTJJ9PIOKnyWTZJuDvPy57D9V4flJ77Gpyz6tqq4zhcY0TrsAAMBrkaQ3JpNJ8g0oewAAAAAAcApcZQ0AAAAAgJsgSQcAAAAAwE2QpAMAAAAA4CZI0gEAAAAAcBMk6QAAAAAAuAmSdAAAAAAA3ARJOgAAAAAAboIkHQAAAAAAN0GSDgAAAACAmyBJBwAAAADATZCkAwAAAADgJkjSAQAAAABwEyTpAAAAAAC4CZJ0AADQIM8995wSEhIUGBioAQMG6Oeff66x/gcffKCuXbsqMDBQPXv21Oeff+6w3DAMPfjgg2rTpo2CgoKUlJSkXbt2NeYmAADgNkjSAQBAvS1btkwzZszQ7NmztWHDBvXu3VsjR45Uenp6lfXXrFmjCRMm6IYbbtDGjRs1btw4jRs3Tr///ru9zuOPP65nnnlGS5Ys0bp16xQSEqKRI0eqsLCwqTYLAACXMRmGYbg6iKaUnZ2t8PBwZWVlKSwszNXhAADg0cemAQMG6KyzztKzzz4rSbJarYqPj9e0adN03333Vap/1VVXKS8vT59++qm9bODAgerTp4+WLFkiwzAUFxenu+66SzNnzpQkZWVlKTY2VkuXLtXVV19dq7g8eZ8CAJqfuhyXfJsoJrdh+04iOzvbxZEAAFDGdkzytO/Ni4uLtX79es2aNcteZjablZSUpLVr11b5nrVr12rGjBkOZSNHjtTy5cslSSkpKUpLS1NSUpJ9eXh4uAYMGKC1a9dWm6QXFRWpqKjI/jorK0sSx3sAgHuoy7He65L0nJwcSVJ8fLyLIwEAwFFOTo7Cw8NdHUatHT16VBaLRbGxsQ7lsbGx2rFjR5XvSUtLq7J+WlqafbmtrLo6VZk3b57mzJlTqZzjPQDAndTmWO91SXpcXJwOHDigFi1ayGQyNait7OxsxcfH68CBAx57KZ2nbwPxuxbxuxbxu5Yz4zcMQzk5OYqLi3NSdN5n1qxZDj30VqtVx44dU8uWLTnel2su2yE1n21pLtshsS3uqLlsh9Q8tqUux3qvS9LNZrPatWvn1DbDwsI89sNi4+nbQPyuRfyuRfyu5az4PakH3SY6Olo+Pj46fPiwQ/nhw4fVunXrKt/TunXrGuvbfh4+fFht2rRxqNOnT59qYwkICFBAQIBDWURERG03pVY8/bNq01y2Q2o+29JctkNiW9xRc9kOyfO3pbbHekZ3BwAA9eLv769+/fopOTnZXma1WpWcnKxBgwZV+Z5BgwY51Jekr7/+2l4/MTFRrVu3dqiTnZ2tdevWVdsmAADNidf1pAMAAOeZMWOGJk2apP79++vss8/WokWLlJeXpylTpkiSJk6cqLZt22revHmSpDvuuEPDhg3TP//5T1100UV677339Ouvv+rFF1+UJJlMJk2fPl2PPPKIunTposTERD3wwAOKi4vTuHHjXLWZAAA0GZL0BggICNDs2bMrXV7nSTx9G4jftYjftYjftTw9fme56qqrdOTIET344INKS0tTnz59tGLFCvvAb6mpqTKbT1y4N3jwYL3zzju6//779Y9//ENdunTR8uXL1aNHD3ude+65R3l5ebrpppuUmZmpoUOHasWKFQoMDGzy7ZOaz++6uWyH1Hy2pblsh8S2uKPmsh1S89qW2vC6edIBAAAAAHBX3JMOAAAAAICbIEkHAAAAAMBNkKQDAAAAAOAmSNIBAAAAAHATJOmn8NxzzykhIUGBgYEaMGCAfv755xrrf/DBB+ratasCAwPVs2dPff75500UaWXz5s3TWWedpRYtWigmJkbjxo3Tzp07a3zP0qVLZTKZHB6uGk33oYceqhRL165da3yPO+3/hISESvGbTCbddtttVdZ39b7/7rvvdPHFFysuLk4mk0nLly93WG4Yhh588EG1adNGQUFBSkpK0q5du07Zbl3/hhoj/pKSEt17773q2bOnQkJCFBcXp4kTJ+rPP/+ssc36fAYbI35Jmjx5cqVYRo0adcp23WH/S6ryb8FkMumJJ56ots2m2v+1+beysLBQt912m1q2bKnQ0FBdfvnlOnz4cI3t1vdvBq7hycd7yfOP+RV5+vG/Ik87F7Dx9HOCijz9/KA22yG5/3lCRZ58ztBUSNJrsGzZMs2YMUOzZ8/Whg0b1Lt3b40cOVLp6elV1l+zZo0mTJigG264QRs3btS4ceM0btw4/f77700ceZlvv/1Wt912m3766Sd9/fXXKikp0YgRI5SXl1fj+8LCwnTo0CH7Y//+/U0UcWXdu3d3iOWHH36otq677f9ffvnFIfavv/5aknTllVdW+x5X7vu8vDz17t1bzz33XJXLH3/8cT3zzDNasmSJ1q1bp5CQEI0cOVKFhYXVtlnXv6HGij8/P18bNmzQAw88oA0bNuijjz7Szp07NXbs2FO2W5fPYEOcav9L0qhRoxxieffdd2ts0132vySHuA8dOqRXX31VJpNJl19+eY3tNsX+r82/lXfeeaf++9//6oMPPtC3336rP//8U5dddlmN7dbnbwau4enHe6l5HPMr8uTjf0Wedi5g4+nnBBV5+vmBjaefJ1TkyecMTcZAtc4++2zjtttus7+2WCxGXFycMW/evCrrjx8/3rjoooscygYMGGDcfPPNjRpnbaWnpxuSjG+//bbaOq+99poRHh7edEHVYPbs2Ubv3r1rXd/d9/8dd9xhdOrUybBarVUud6d9L8n4+OOP7a+tVqvRunVr44knnrCXZWZmGgEBAca7775bbTt1/RtylpPjr8rPP/9sSDL2799fbZ26fgadpar4J02aZFxyySV1ased9/8ll1xiXHDBBTXWcdX+P/nfyszMTMPPz8/44IMP7HW2b99uSDLWrl1bZRv1/ZuBazS3471heN4xv6LmdvyvyJPOBWw8/ZygIk8/P7Dx9POEijz9nKGx0JNejeLiYq1fv15JSUn2MrPZrKSkJK1du7bK96xdu9ahviSNHDmy2vpNLSsrS5IUFRVVY73c3Fx16NBB8fHxuuSSS7R169amCK9Ku3btUlxcnDp27KhrrrlGqamp1dZ15/1fXFyst956S9dff71MJlO19dxp31eUkpKitLQ0h/0bHh6uAQMGVLt/6/M31JSysrJkMpkUERFRY726fAYb2+rVqxUTE6PTTz9dt9xyizIyMqqt6877//Dhw/rss890ww03nLKuK/b/yf9Wrl+/XiUlJQ77smvXrmrfvn21+7I+fzNwjeZ4vJc885hfUXM5/lfk6ecCNs3xnKAiTzw/sGku5wkVufs5Q2MhSa/G0aNHZbFYFBsb61AeGxurtLS0Kt+TlpZWp/pNyWq1avr06RoyZIh69OhRbb3TTz9dr776qv7zn//orbfektVq1eDBg3Xw4MEmjLbMgAEDtHTpUq1YsUKLFy9WSkqKzjnnHOXk5FRZ3533//Lly5WZmanJkydXW8ed9v3JbPuwLvu3Pn9DTaWwsFD33nuvJkyYoLCwsGrr1fUz2JhGjRqlN954Q8nJyVqwYIG+/fZbjR49WhaLpcr67rz/X3/9dbVo0eKUl4u7Yv9X9W9lWlqa/P39K52wnep4YKtT2/fANZrb8V7yzGN+Rc3p+F+Rp58L2DS3c4KKPPH8wKY5nSdU5M7nDI3J19UBoGncdttt+v333095b8agQYM0aNAg++vBgwfrjDPO0AsvvKCHH364scN0MHr0aPvzXr16acCAAerQoYPef//9Wn2b5k5eeeUVjR49WnFxcdXWcad935yVlJRo/PjxMgxDixcvrrGuO30Gr776avvznj17qlevXurUqZNWr16t4cOHN2ksDfXqq6/qmmuuOeVgSK7Y/7X9txJwZ554zK/Inf7tdSbOBdybp54f2DSn84SK3PmcoTHRk16N6Oho+fj4VBq99/Dhw2rdunWV72ndunWd6jeVqVOn6tNPP9WqVavUrl27Or3Xz89PZ555pnbv3t1I0dVeRESETjvttGpjcdf9v3//fq1cuVJ/+9vf6vQ+d9r3tn1Yl/1bn7+hxmY7AO/fv19ff/11jd+SV+VUn8Gm1LFjR0VHR1cbizvuf0n6/vvvtXPnzjr/PUiNv/+r+7eydevWKi4uVmZmpkP9Ux0PbHVq+x64RnM63kvN55hfkace/ytqDucCNs3lnKCi5nR+YOOp5wkVufM5Q2MjSa+Gv7+/+vXrp+TkZHuZ1WpVcnKywzecFQ0aNMihviR9/fXX1dZvbIZhaOrUqfr444/1zTffKDExsc5tWCwW/fbbb2rTpk0jRFg3ubm52rNnT7WxuNv+t3nttdcUExOjiy66qE7vc6d9n5iYqNatWzvs3+zsbK1bt67a/Vufv6HGZDsA79q1SytXrlTLli3r3MapPoNN6eDBg8rIyKg2Fnfb/zavvPKK+vXrp969e9f5vY21/0/1b2W/fv3k5+fnsC937typ1NTUavdlff5m4BrN4XgvNb9jfkWeevyvqDmcC9g0h3OCiprb+YGNp54nVOSO5wxNxqXD1rm59957zwgICDCWLl1qbNu2zbjpppuMiIgIIy0tzTAMw7juuuuM++67z17/xx9/NHx9fY0nn3zS2L59uzF79mzDz8/P+O2331wS/y233GKEh4cbq1evNg4dOmR/5Ofn2+ucvA1z5swxvvzyS2PPnj3G+vXrjauvvtoIDAw0tm7d2uTx33XXXcbq1auNlJQU48cffzSSkpKM6OhoIz09vcrY3W3/G0bZKJnt27c37r333krL3G3f5+TkGBs3bjQ2btxoSDIWLlxobNy40T666fz5842IiAjjP//5j7FlyxbjkksuMRITE42CggJ7GxdccIHxr3/9y/76VH9DTRV/cXGxMXbsWKNdu3bGpk2bHP4eioqKqo3/VJ/Bpoo/JyfHmDlzprF27VojJSXFWLlypdG3b1+jS5cuRmFhYbXxu8v+t8nKyjKCg4ONxYsXV9mGq/Z/bf6t/Pvf/260b9/e+Oabb4xff/3VGDRokDFo0CCHdk4//XTjo48+sr+uzd8M3IOnH+8Nw/OP+RU1h+N/RZ50LmDj6ecEtd0WTzg/qM12eMJ5Qm23xcZdzxmaCkn6KfzrX/8y2rdvb/j7+xtnn3228dNPP9mXDRs2zJg0aZJD/ffff9847bTTDH9/f6N79+7GZ5991sQRnyCpysdrr71mr3PyNkyfPt2+vbGxscaYMWOMDRs2NH3whmFcddVVRps2bQx/f3+jbdu2xlVXXWXs3r3bvtzd979hGMaXX35pSDJ27txZaZm77ftVq1ZV+XmxxWi1Wo0HHnjAiI2NNQICAozhw4dX2q4OHToYs2fPdiir6W+oqeJPSUmp9u9h1apV1cZ/qs9gU8Wfn59vjBgxwmjVqpXh5+dndOjQwbjxxhsrHUTddf/bvPDCC0ZQUJCRmZlZZRuu2v+1+beyoKDAuPXWW43IyEgjODjYuPTSS41Dhw5Vaqfie2rzNwP34cnHe8Pw/GN+Rc3h+F+RJ50L2Hj6OUFtt8UTzg9qsx2ecJ5Q222xcddzhqZiMgzDqHP3OwAAAAAAcDruSQcAAAAAwE2QpAMAAAAA4CZI0gEAAAAAcBMk6QAAAAAAuAmSdAAAAAAA3ARJOgAAAAAAboIkHQAAAAAAN0GSDgAAAACAmyBJB5qppUuXKiIiwtVhaPXq1TKZTMrMzHR1KA4eeugh9enTx9VhAAAAAA5I0gEX8ZYkcfDgwTp06JDCw8MluebLA5PJpOXLlzuUzZw5U8nJyU0aBwAAAHAqJOmAhysuLnZ1CDXy9/dX69atZTKZnNquxWKR1Wqt9/tDQ0PVsmVLJ0YEAEDjO++88zR9+nRXh+E2cVTUlDHdfPPNuuaaa5pkXfA+JOlAPRQVFen2229XTEyMAgMDNXToUP3yyy/25VX1Fi9fvtyeqC5dulRz5szR5s2bZTKZZDKZtHTpUklSZmam/va3v6lVq1YKCwvTBRdcoM2bN9vbsfXAv/zyy0pMTFRgYGCt4168eLE6deokf39/nX766XrzzTcdlqempuqSSy5RaGiowsLCNH78eB0+fLjSul944QXFx8crODhY48ePV1ZWVrXrrHi5++rVqzVlyhRlZWXZt/uhhx6y79OZM2eqbdu2CgkJ0YABA7R69epK+/STTz5Rt27dFBAQoNTUVP3yyy+68MILFR0drfDwcA0bNkwbNmywvy8hIUGSdOmll8pkMtlfn3wlg9Vq1dz/Z+/O46Kq9/+Bv86s7AjCgAuCK4obbpmZiWkuLbflVt6sNE2L0usWVrZZ9E0t06hfXS2XrLSyxfayTMXKTI1ExQVFcRcEWQeG2c75/TEyOrLIMjNnGF7P+5gL58znc857qGDe8/l83p/kZLRt2xZarRbx8fHYsGGD/fnjx49DEASsX78ew4YNg5+fH3r37o3t27fX+edPRETezxOTV1dYv349Xn75Zfuxu193dfe7MiZXWrBgAd577z233IuaHybpRA3w5JNP4ssvv8QHH3yAf/75B506dcKoUaNQUFBQp/5jx47FE088ge7du+PcuXM4d+4cxo4dCwC45557cP78efz0009IS0tD3759MXz4cIdrZ2Vl4csvv8T69euRnp5ep3t+9dVXmDFjBp544glkZGTg0UcfxcSJE7FlyxYAtiT19ttvR0FBAbZu3YqNGzfi2LFj9rguv/dnn32G7777Dhs2bMDu3bvx+OOP1ymG6667DikpKQgKCrK/7qSkJADAtGnTsH37dnz66afYu3cv7rnnHowePRpHjhyx9y8vL8err76KFStWYP/+/dDpdCgtLcWECRPwxx9/4K+//kLnzp1x8803o7S0FADsH568//77OHfunMOHKZd78803sXjxYrz++uvYu3cvRo0ahX/9618O9weAZ599FklJSUhPT0eXLl1w3333wWKx1On1ExER1ZWnz5QLDQ1FYGCg06/bmNftqphqupe/v79b7kXNkERE9aLX6yW1Wi2tXbvWfs5kMkmtW7eWXnvtNUmSJOn999+XgoODHfp99dVX0uX/yc2bN0/q3bu3Q5vff/9dCgoKkioqKhzOd+zYUXr33Xft/dRqtXT+/Pla47wyhuuuu06aMmWKQ5t77rlHuvnmmyVJkqRffvlFUiqV0smTJ+3P79+/XwIg7dy5035vpVIpnT592t7mp59+khQKhXTu3Llq49iyZYsEQCosLKw2LkmSpBMnTkhKpVI6c+aMw/nhw4dLc+fOtfcDIKWnp9f6uq1WqxQYGCh999139nMApK+++sqh3ZU//9atW0uvvPKKQ5sBAwZIjz/+uCRJkpSdnS0BkFasWGF/vvLnc/DgwVpjIiKipqGiokL673//K4WHh0tarVYaPHiw/W+gJElSdHS09MYbbzj06d27tzRv3jxJkiRpwoQJEgCHR3Z2tmS1WqX58+dLMTExko+Pj9SrVy/p888/d7jO0KFDpalTp0ozZsyQWrZsKSUkJFQb49ChQ6UZM2bUOearPX/5vadOnSoFBQVJLVu2lJ577jlJFMUaf1aXx+Hs1/3TTz9JgwcPloKDg6XQ0FDplltukbKysux9arpffX82lff/73//K82ZM0cKCQmRIiIi7P88a1L5niA7O7vWdkQNxZF0ono6evQozGYzBg8ebD+nVqtxzTXX4ODBg4269p49e6DX69GyZUsEBATYH9nZ2Th69Ki9XXR0NMLDw+t17YMHDzrEDACDBw+2x3zw4EFERUUhKirK/nxcXBxatGjh8LratWuHNm3a2I8HDRoEURSRmZlZr3gut2/fPlitVnTp0sXhdW/dutXhdWs0GvTq1cuhb25uLqZMmYLOnTsjODgYQUFB0Ov1OHnyZJ3vX1JSgrNnz9b686l0+f1btWoFADh//nyd70VERJ6rsTPl3nzzTQwaNAhTpkyxzxiLiorCggUL8OGHH2LZsmXYv38/Zs2ahQceeABbt2516P/BBx9Ao9Fg27ZtWLZsmVNirutr+uCDD6BSqbBz5068+eabWLJkCVasWCHL6y4rK8Ps2bPx999/Y9OmTVAoFLjzzjvttWhqul99fzaX39/f3x87duzAa6+9huTkZGzcuLHG17tnzx60aNHCvoSOyNlUcgdA5I0UCgUkSXI4Zzabr9pPr9ejVatWDmuxK12+xt3bplfp9XoolUqkpaVBqVQ6PBcQEGD/3tfXt0oBugkTJuDChQt48803ER0dDa1Wi0GDBrlsmqBarbZ/XxlLYwrYERGRZygrK8PSpUuxevVqjBkzBgCwfPlybNy4EStXrsScOXOueo3g4GBoNBr4+fkhMjISgK3myvz58/Hrr79i0KBBAIAOHTrgjz/+wLvvvouhQ4fa+3fu3Bmvvfaa02J+/PHH6/yaoqKi8MYbb0AQBMTGxmLfvn144403MGXKFLe/7tjYWIfrr1q1CuHh4Thw4AB69OhR7f3q+7O5/LX36tUL8+bNs8fy9ttvY9OmTbjpppuqvXZ6enqVQQMiZ+JIOlE9VRZe27Ztm/2c2WzGrl27EBcXBwAIDw9HaWkpysrK7G2uXDuu0WhgtVodzvXt2xc5OTlQqVTo1KmTwyMsLKxRcXfr1s0hZgDYtm2bPeZu3brh1KlTOHXqlP35AwcOoKioyN4GsBWXO3v2rP34r7/+gkKhqPIHtSbVve4+ffrAarXi/PnzVV53TX98L38N06dPx80334zu3btDq9UiPz/foY1ara5yz8sFBQWhdevWtf58iIjIu7lqplxWVhbKy8tx0003OcwW+/DDDx1miwFAv379nBpzfV7Ttdde6/BB+KBBg3DkyJFa/37WpjGv+8iRI7jvvvvQoUMHBAUF2Ues6zNLrj6v/cqEu1WrVrXOktuzZ0+z2EaX5MORdKJ68vf3x2OPPYY5c+YgNDQU7dq1w2uvvYby8nI8/PDDAICBAwfCz88PzzzzDKZPn44dO3bYq7dXiomJQXZ2NtLT09G2bVsEBgZixIgRGDRoEO644w689tpr6NKlC86ePYsffvgBd955J/r379/guOfMmYN7770Xffr0wYgRI/Ddd99h/fr1+PXXXwEAI0aMQM+ePXH//fcjJSUFFosFjz/+OIYOHepwXx8fH0yYMAGvv/46SkpKMH36dNx7771XTaYvf916vR6bNm1C79694efnhy5duuD+++/H+PHjsXjxYvTp0wd5eXnYtGkTevXqhVtuuaXG63Xu3BkfffQR+vfvj5KSEsyZMwe+vr5V7rlp0yYMHjwYWq0WISEh1f585s2bh44dOyI+Ph7vv/8+0tPTsXbt2jq9LiIi8n4NmSmn1+sBAD/88IPDcjEA0Gq1DsfeNFOuMa/7tttuQ3R0NJYvX47WrVtDFEX06NHDLbPkANtMudpmyaWnp+PWW291SSxEAEfSiRpk4cKF+Pe//40HH3wQffv2RVZWFn7++Wd78hcaGoo1a9bgxx9/RM+ePfHJJ5/Ytxqr9O9//xujR4/GsGHDEB4ejk8++QSCIODHH3/EDTfcgIkTJ6JLly74z3/+gxMnTiAiIqJRMd9xxx1488038frrr6N79+5499138f777yMhIQGA7Q/SN998g5CQENxwww0YMWIEOnTogHXr1jlcp1OnTrjrrrtw8803Y+TIkejVqxf+97//1TmO6667DomJiRg7dizCw8Pt09vef/99jB8/Hk888QRiY2Nxxx13YNeuXWjXrl2t11u5ciUKCwvRt29fPPjgg/at8S63ePFibNy4EVFRUejTp0+115k+fTpmz56NJ554Aj179sSGDRvw7bffonPnznV+bURE1HTVdabcuXPn7M+XlJQgOzvb4TpXzhi7fNvQK2eLVbeO2pkx1+U1VdqxY4fDceWOKVcuQ6uJs173hQsXkJmZieeeew7Dhw9Ht27dUFhYeNX7Xak+r70+SkpKcPz4cY6kk2vJXbmOiJqO6irSExEReYsZM2ZIrVu3ln766Sdp//790oQJE6SQkBCpoKBAkiRJevrpp6XIyEjpt99+k/bu3SvdcccdUkBAgEM18ClTpkgDBgyQsrOzpby8PMlqtUrPPvus1LJlS2n16tVSVlaWlJaWJr311lvS6tWr7f2urExekyvbXS3mqz1fec2AgABp1qxZ0qFDh6SPP/5Y8vf3l5YtW1bnOJz1uq1Wq9SyZUvpgQcekI4cOSJt2rRJGjBgQJWdWqq7X31/NjX93G+//XZpwoQJ1b7u3377TVKpVFV24iFyJk53JyIiIiKCbaacKIp48MEHUVpaiv79+zvMlJs7dy6ys7Nx6623Ijg4GC+//HKVkfSkpCRMmDABcXFxMBgMyM7Oxssvv4zw8HAsWLAAx44dQ4sWLdC3b18888wzLo/5as9XGj9+PAwGA6655hoolUrMmDEDjzzySJ3jcNbrVigU+PTTTzF9+nT06NEDsbGxeOutt+wz/2q7X31/Ng2xZ88edO3atcqUfSJnEiTpioU1REQ1ePHFF/H1119XKYJHRERETVdCQgLi4+ORkpIidyhEBK5JJ6J6ePHFF5mgExERERG5EJN0IiIiIiIiIg/B6e5EREREREREHoIj6UREREREREQegkk6ERERERERkYdgkk5ERERERETkIZikExEREREREXkIJulEREREREREHkIldwBEREREREQkP6vVCrPZLHcYTZZGo4FC0fhxcCbpREREREREzZgkScjJyUFRUZHcoTRpCoUC7du3h0ajadR1uE86ERERERFRM3bu3DkUFRVBp9PBz88PgiDIHVKTI4oizp49C7VajXbt2jXqZ8iRdCIiIiIiombKarXaE/SWLVvKHU6TFh4ejrNnz8JisUCtVjf4OiwcR0RERERE1ExVrkH38/OTOZKmr3Kau9VqbdR1mKQTERERERE1c5zi3njO+hkySSciIiIiIiLyEEzSiYiIiIiIqMlJSEjAzJkz5Q7D6Vg4joiIiIiIiKr49UCu2+41Ii6i3n3Wr1/f4AJtJ0+exGOPPYYtW7YgICAAEyZMwIIFC6BSyZ8iyx8BERERERERUT2FhoY2qJ/VasUtt9yCyMhI/Pnnnzh37hzGjx8PtVqN+fPnOznK+uN0dyIPsWvXLlx33XXw9/eHIAhIT0+XOyQiIiIiIo/V0Onuv/zyCw4cOIA1a9YgPj4eY8aMwcsvv4x33nkHJpPJ+YHWE5N0Ig9gNptxzz33oKCgAG+88QY++ugjREdHyx0WEREREVGTkJiYiICAgFoflbZv346ePXsiIuLSFPtRo0ahpKQE+/fvlyN8B5zuTuQBjh49ihMnTmD58uWYPHmy3OEQERERETUpycnJSEpKqlPbnJwchwQdgP04JyfH6bHVF5N0Ig9w/vx5AECLFi2u2rasrAz+/v4ujsgzNefXTkREREQ10+l00Ol0cofhFJzuTiSzhx56CEOHDgUA3HPPPRAEAQkJCfbnAgICcPToUdx8880IDAzE/fffDwAQRREpKSno3r07fHx8EBERgUcffRSFhYVV7vHTTz9hyJAh8Pf3R2BgIG655ZY6T+UpKirCzJkzERUVBa1Wi06dOuHVV1+FKIr2NsePH4cgCHj99dfx3nvvoWPHjtBqtRgwYAB27dpV5ZqHDh3C3XffjdDQUPj4+KB///749ttvHdqsXr0agiBg69atePzxx6HT6dC2bVv78++88w46dOgAX19fXHPNNfj999+RkJBg/9np9Xr4+/tjxowZVe5/+vRpKJVKLFiwoE4/AyIiIiLybPWZ7h4ZGYncXMfK9ZXHkZGRbo27OhxJJ5LZo48+ijZt2mD+/PmYPn06BgwY4DD9xmKxYNSoUbj++uvx+uuvw8/Pz95v9erVmDhxIqZPn47s7Gy8/fbb2L17N7Zt22bfjuKjjz7ChAkTMGrUKLz66qsoLy/H0qVLcf3112P37t2IiYmpMbby8nIMHToUZ86cwaOPPop27drhzz//xNy5c3Hu3DmkpKQ4tP/4449RWlqKRx99FIIg4LXXXsNdd92FY8eO2ePZv38/Bg8ejDZt2uDpp5+Gv78/PvvsM9xxxx348ssvceeddzpc8/HHH0d4eDheeOEFlJWVAQCWLl2KadOmYciQIZg1axaOHz+OO+64AyEhIfZEPiAgAHfeeSfWrVuHJUuWQKlU2q/5ySefQJIk+wceRERERNS01We6+6BBg/DKK6/g/Pnz9tH3jRs3IigoCHFxca4Ms06YpBPJbNCgQTAajZg/fz6GDBmCu+++2+F5o9GIe+65x2HU948//sCKFSuwdu1ajBs3zn5+2LBhGD16ND7//HOMGzcOer0e06dPx+TJk/Hee+/Z202YMAGxsbGYP3++w/krLVmyBEePHsXu3bvRuXNnALYPB1q3bo1FixbhiSeeQFRUlL39yZMnceTIEYSEhAAAYmNjcfvtt+Pnn3/GrbfeCgCYMWMG2rVrh127dkGr1QKwJeLXX389nnrqqSpJemhoKDZt2mRPsk0mE55//nkMGDAAmzdvtu9l2atXLzz00EMOo+3jx4/H2rVrsXHjRowePdp+fs2aNbjhhhvQrl27Gl87ERERETUd9ZnuPnLkSMTFxeHBBx/Ea6+9hpycHDz33HOYOnWq/f2pnJikEzUBjz32mMPx559/juDgYNx0003Iz8+3n+/Xrx8CAgKwZcsWjBs3Dhs3bkRRURHuu+8+h3ZKpRIDBw7Eli1bar3v559/jiFDhiAkJMSh/4gRI7Bw4UL89ttvDqPRY8eOtSfoADBkyBAAwLFjxwAABQUF2Lx5M5KTk1FaWorS0lJ721GjRmHevHk4c+YM2rRpYz8/ZcoUh1Hwv//+GxcuXMCCBQvsCToA3H///Zg1a5ZD/CNGjEDr1q2xdu1ae5KekZGBvXv3Yvny5bW+diIiIqLmbkRcxNUbNUFKpRLff/89HnvsMQwaNAj+/v6YMGECkpOT5Q4NAJN0Io+nUqkcRocB4MiRIyguLq7x08LKQnRHjhwBANx4443VtgsKCqr13keOHMHevXsRHh5e630qXTkyXZmwV66Tz8rKgiRJeP755/H888/XeM3Lk/T27ds7PH/ixAkAQKdOnRzOq1SqKlP3FQoF7r//fixduhTl5eXw8/PD2rVr4ePjg3vuuafa+xMRERFR05CamtrgvtHR0fjxxx+dF4wTMUkn8nBarRYKhWONR1EUodPpsHbt2mr7VCbVlcXdPvroo2qLYFw+El0dURRx00034cknn6z2+S5dujgcXz7ifTlJkhziSUpKwqhRo6pte2Xy7evrW2uMVzN+/HgsWrQIX3/9Ne677z58/PHHuPXWWxEcHNyo6xIRERERuQKTdKImqGPHjvj1118xePDgWpPYjh07ArCt0RkxYkSD7qPX6xvUtzodOnQAAKjV6gZfMzo6GoBtVH7YsGH28xaLBcePH0evXr0c2vfo0QN9+vTB2rVr0bZtW5w8eRL/7//9vwa+AiIiIiIi1+IWbERN0L333gur1YqXX365ynMWiwVFRUUAbOu8g4KCMH/+fJjN5ipt8/Lyrnqf7du34+eff67yXFFRESwWS73i1ul0SEhIwLvvvotz587VOx4A6N+/P1q2bInly5c73H/t2rXVbj8HAA8++CB++eUXpKSkoGXLlhgzZky94iYiIiIicheOpBM1QUOHDsWjjz6KBQsWID09HSNHjoRarcaRI0fw+eef480338Tdd9+NoKAgLF26FA8++CD69u2L//znPwgPD8fJkyfxww8/YPDgwXj77bdrvM+cOXPw7bff4tZbb8VDDz2Efv36oaysDPv27cMXX3yB48ePIywsrF6xv/POO7j++uvRs2dPTJkyBR06dEBubi62b9+O06dPY8+ePbX212g0ePHFF/Hf//4XN954I+69914cP34cq1evRseOHSEIQpU+48aNw5NPPomvvvoKjz32mH07OCIiIiIiT8MknaiJWrZsGfr164d3330XzzzzjL1w2gMPPIDBgwfb240bNw6tW7fGwoULsWjRIhiNRrRp0wZDhgzBxIkTa72Hn58ftm7divnz5+Pzzz/Hhx9+iKCgIHTp0gUvvfRSg9Z1x8XF4e+//8ZLL72E1atX48KFC9DpdOjTpw9eeOGFOl1j2rRpkCQJixcvRlJSEnr37o1vv/0W06dPh4+PT5X2ERERGDlyJH788Uc8+OCD9Y6ZiIiIiMhdBKmyohMRURMmiiLCw8Nx1113Vbu92p133ol9+/YhKytLhuiIiIiIPFNFRQWys7PRvn37agc7qO6c9bPkmnQianIqKipw5eeLH374IQoKCpCQkFCl/blz5/DDDz9wFJ2IiIiIPB6nuxNRk/PXX39h1qxZuOeee9CyZUv8888/WLlyJXr06OGw/3l2dja2bduGFStWQK1W49FHH5UxaiIiIiKiq2OSTkRNTkxMDKKiovDWW2+hoKAAoaGhGD9+PBYuXAiNRmNvt3XrVkycOBHt2rXDBx98UO1e8UREREREnoRr0omIiIiIiJqpprwmPSEhAfHx8UhJSZE7FADO+1lyJJ2IiIiIiIiqyvzJffeKHVPvLuvXr2/w1rrTp0/Htm3bkJGRgW7duiE9Pb1B13EFFo4jIiIiIiKiJic0NBSBgYEN7j9p0iSMHTvWiRE5R7MbSRdFEWfPnkVgYCAEQZA7HCIiIkiShNLSUrRu3RoKBT8/dwb+vSciqhuTyQRRFGG1WmG1Wh2fFEX3BXLlvevgxhtvRHx8PJYsWVLvvm+88QYAIDc3F3v37q362hvAarVCFEXo9XqYTCaH5+rzt77ZJelnz55FVFSU3GEQERFVcerUKbRt21buMLwC/94TEdVNdHQ0li1bBoPBUOW54NyjboujuGx3vfvo9XqcP38eu3fvxoIFC/DTT7VPz//tt9+qnMvJyUF5eTl2767//auTn5+PW265BSdOnKj2+br8rW92SXrldIhTp04hKChI5miIiIiAkpISREVFNWrKHjni33sioroxmUzIzc1FTExM1WJnh3PdF0iXPvXuEhAQAJ1Ohz59+uDtt99GSUlJre07depU5VxkZCT8/PzQp0/973+liooKHD9+HH///bfDjkNA/f7WN7skvXLKW1BQEP9oExGRR+G0bOfh33siorqpqKhAXl4elEollEql45PuXIJ15b3rQBAECIIApVKJVq1aoVWrVvW+RuXU8yqvvQGUSiUUCgUCAgJqrO5el7/1XPhGRERERERETVpiYiICAgJqfTQVzW4knYiIiIiIiLxLcnIykpKS5A7DKZikExERERERUZOm0+mg0+nq3D4rKwt6vR45OTkwGAz2fdLj4uKqrCd3NybpREREREREVFXsGLkjcJnJkydj69at9uPKwnHZ2dmIiYmRKSobJulERERERETU5KSmpsrS19VYOI6IiIiIiIjIQzBJJyIiIiIiIvIQTNKJiIiIiIiIPASTdCIiIiIiIiIPwSSdiIiIiIiIyEMwSSciIiIiIiLyEEzSiYiIiIiIiDwEk3QiIiIiIiIiD8EknYiIiIiIiMhDMEknIqIqzhUbIEmS3GEQERER1SghIQEzZ86UOwynU8kdABEReQ5JkrBwwyG8u/UY7unXFovu6S13SERERCST1FOpbrtXQlRCvfusX78earW63v327NmDhQsX4o8//kB+fj5iYmKQmJiIGTNm1PtarsAknYiI7JZuPYp3tx4DAHyedhrXdw7D7fFtZI6KiIiIqKrQ0NAG9UtLS4NOp8OaNWsQFRWFP//8E4888giUSiWmTZvm5Cjrj0k6EREBANbuOIHXNmQCAPpHh+DvE4V47usM9I8JRZsWvjJHR0TeqrqRuoaMqBFR85OQkID4+HikpKTUq9+kSZMcjjt06IDt27dj/fr1HpGkc006ERHhuz1n8dzXGQCAqcM64tNHrkV8VAuUVljwxGfpEEWuTyciIiLPlZiYiICAgFoftSkuLm7wyLyzcSSdiKiZ23o4D7M/S4ckAfcPbIekkbEQBAEpY+Nx81u/469jBVjxxzE8ckNHuUMlIiIiqlZycjKSkpIa1PfPP//EunXr8MMPPzg5qoZhkk5E1IylnShA4kdpMFsl3NqrFZJv7wFBEAAAMWH+mHdbHJ76ch8W/ZyJ6zuFI651kMwRExEREVWl0+mg0+nq3S8jIwO333475s2bh5EjR7ogsvrjdHciombq4LkSTHx/FwxmK4Z2CceSe+OhVAgObe7tH4WRcREwWyXMXLcbFWarTNESERER1awh090PHDiA4cOH45FHHsFzzz0nQ9TV40g6EVEzdOJCGcav2omSCgv6RYdg2QP9oFFV/dxWEAQs/Hcv7D71Gw7n6vHqhkOYd1t3GSImIiIiqll9p7vv378fN954IyZMmIBXXnnFhZHVH5N0IqJmJrekAg+s3IG8UiO6RgZi1YQB8NUoa2wf6q/Bort74aH3d+H9bccxLFaHG7qEuzFiIiIiotrVZ7p7RkYGbrzxRowaNQqzZ89GTk4OAECpVCI8XP73OEzSiYiakaJyE8av3IlTBQZEt/TDhw9fg2A/9VX7JcTqMGFQND7YfgJJn+/Bhpk3INRf44aIiYiISC7euh3iF198gby8PKxZswZr1qyxn4+Ojsbx48flC+wirkknImomyk0WTFy9C5m5pdAFarHm4YHQBfrUuf/TY7qhky4A50uNeGb9PkgSt2UjIiIi+aSmptZ7j3QAePHFFyFJUpWHJyToAJN0IqJmwWix4tGP0rD7ZBGCfdX46OGBiAr1q9c1fDVKpIyNh1opYMP+HHyedtpF0RIRERE1X0zSiYi8nFWUMHvdHvx+JB9+GiXenzgAsZGBDbpWjzbBmH1TLADgpW/348SFMmeGSkRERNTsMUknIvJikiThua/34Yd956BWCnj3wX7o2y6kUdd85IYOuKZ9KMpMVsxalw6LVXRStERERETEJJ2IyIu9uiETn+w8BYUAvPmfPhjSufEVS5UKAUvu7Y1ArQr/nCzC/1KPOiFSIiIiIgKYpBMRea1lW49i2VZbAr3grp64uWcrp127bYgfXr6jBwDgzU1HkH6qyGnXJiIiImrOZE3Sf/vtN9x2221o3bo1BEHA119/fdU+qamp6Nu3L7RaLTp16oTVq1e7PE4ioqbmk50nsfCnQwCAuWO6YuyAdk6/x+3xrXFb79awihJmfrobZUaL0+9BRERE1NzImqSXlZWhd+/eeOedd+rUPjs7G7fccguGDRuG9PR0zJw5E5MnT8bPP//s4kiJiJqOH/edw7Nf7QMAPJbQEY8O7eiS+wiCgP+7vQdaBfvg+IVy/N8PB11yH2p+XnzxRQiC4PDo2rWr3GGRzH7JL672QUTkbVRy3nzMmDEYM2ZMndsvW7YM7du3x+LFiwEA3bp1wx9//IE33ngDo0aNclWYtTKZTDU+p1AooFKp6tRWEASo1eoGtTWbzTXuV+yqtgCg0Wga1NZisUAUay40VZ+2arUagiC4tK3VaoXVanVKW5VKBYVC4dC23GTBN+lnIUoShnYJR9sQvxrb1ue6dWkriiIslppHP5VKJZRKpce0lSQJZrPZKW0v/+/TVW0B9/+O+PNoPmZ/+g9EScB917TDk6NiXfo7wlcl4bW74jBp9S58vjMbQzuF4MauOgDN53cEuUb37t3x66+/2o8v/2+FiIjImzWpv3jbt2/HiBEjHM6NGjUKM2fOrLGP0WiE0Wi0H5eUlDg1pgULFtT4XOfOnTFu3Dj78euvv17jm/vo6Gg89NBD9uM333wT5eXl1bZt3bo1pkyZYj9+5513UFxc/SfJ4eHhePzxx+3Hy5cvR15eXrVtg4ODHX6Wq1evxtmzZ6tt6+fnhzlz5tiP165dixMnTlTbVq1W45lnnrEff/bZZzhy5Ei1bQFg3rx59u+/+uorHDhwoMa2c+fOtb9h//7777Fnz54a2yYlJcHf3x8A8PPPP+Pvv/+use2MGTPQokULAMCmTZuwffv2Gts+9thj0OlsScnvv/+OrVu31th28uTJaNOmDQBg+/a/sGnTrw7Pf7T50veDRt+FEQN6QKEQkJaWhp9++qnG6953333o0qULAGDfvn345ptvamx79913o3v37gCAgwcP4osvvqix7e233474+HgAQFZWFj755JMa244ZMwbXXHMNAODkyZP44IMPamw7YsQIDB48GABw7tw5rFixosa2Q4cORUJCAgAgLy8PS5curbHtoEGDMHLkSABAcXEx3nzzzRrb9u/fH7fccgsAoLy8HK+//nqNbXv37o077rgDgC3ZrO2/+7i4ONxzzz32Yzl+R4xQ+UGKG47/u6MHBEFwy++IB3xs53Z8tRs70Lx+R5BrqFQqREZGyh0GERGR2zWpJD0nJwcREREO5yIiIlBSUgKDwQBfX98qfRYsWICXXnrJXSGSByssM6HQJKDCLKLMVPNIszuknSjEB9uPo20tbV74JgPPbMzF8K46dFc798Ml8m6BWhVeGhsPpYIjvdR0HTlyBK1bt4aPjw8GDRqEBQsWoF27mmsruPpDeSKi5qh08xa33SvwxmH17pOQkID4+HikpKQ4PyAZCVJt8w/dSBAEfPXVV/bRqup06dIFEydOxNy5c+3nfvzxR9xyyy0oLy+vNkmv7o92VFQUiouLERQU1Oi4Od29/m0bMpVVkiT8mJGDA2dLYDRbUWGxwmAWUWEBKiwijGYRFSYzjGYLKixW2/HFdharLS4LFABsSYsCIq6JboEJ18UgIVZXJZlx1XT3XL0Zi34+jG/3nIUCIgI0Cjw6tCMevDYaPmolistN+O1IPjZnnsdvRwpQarRdS4AIX5WA6zq0REKsDgldw6EL9LFfl9Pd69/Wm6a7H84txYRVO1FsMKNPuxCsmNAfwf6Xfh+663fEkVw97n73T5gtIp6/NQ4Tru9Up+sCnO5eUlKC4OBgp/1taup++ukn6PV6xMbG4ty5c3jppZdw5swZZGRkIDAwsNo+L774YrUfyvNnCvx6ILfa8yPiIqo9726pp1KrnEuISqhyrqb15yPDgp0bEFEzU1FRgezsbLRv3x4+Pj4Oz3l6kl5QUAC1Wl3j34aaXLhwAffffz/27t2LCxcuQKfT4fbbb8f8+fMb9Tejtp9lff7WN6mR9MjISOTmOv6hyc3NRVBQULUJOgBotVpotVqXxXT5m0W52l7+prkptK3PukKVSoXckgo8+cVebD1c/RTc2jnWRtSoFPBVK6E3WvDXiRL8dWIvolv64aHrYnBP/ygEaKvGdnnidzU1tS0zWrBs61G899sxGC0iBAG4p180nhjVxSHZDtdo8O8BAfj3gBiYLCJ2Zhfg14O5+PVgLk4XGvDr4QL8ergA+O4QerUNxohuERjRLQLdWgVeNYZqfzoKRZ3/XfOEtoIgNKm2gOt/R2SdL8WE1f/ggkFE76iWWDXpGgT6OP736K7/7rtHhWLO6O5I/v4AFvx8BIO7RKKTLqDe163v7wi525LzXV6vplevXhg4cCCio6Px2Wef4eGHH662z9y5czF79mz7ceWH8uSd9uXvs3+vMdg+6K0usSci7xYaGtqgfgqFArfffjv+7//+D+Hh4cjKysLUqVNRUFCAjz/+2MlR1l+TehcyaNAg/Pjjjw7nNm7ciEGDBskUEbnad3vO4rmvM1BsMEOrUuDe/lEI8VNDq1bCR62Er1oJH7UCPg5flfBR2Y59NZXfK6FVKaC4OGJ+rtiAD/48gU92nsSJC+V46bsDWPLLYYwdEIUJ18UgKtTPKfGLooT1u8/gtQ2HcL7UNqNjYPtQPH9rHHq0qf2Tf41Kges7h+H6zmGYd1scMnNLsengeWw8kIs9p4uw93Qx9p4uxpKNh9E62Acj4mwJ+8AOodCq6pakU9N2PL8M45bvwIUyE7q3DsKHE6sm6O720HUx2JJ5Hr8fycfMdbux/rHB0Khk3UiEvECLFi3QpUsXZGVl1djG1R/Kkwc5kwboT106Lsq3fWWSTtTsNHS6e0hICB577DH7cXR0NB5//HEsWrTIyRE2jKxJul6vd/iDm52djfT0dISGhqJdu3aYO3cuzpw5gw8//BAAkJiYiLfffhtPPvkkJk2ahM2bN+Ozzz7DDz/8INdLIBcpKjfh+W/247s9tqJUPdsE442xvdFJV7+pLDVpFeyLp8d0xfThnfDlP2fw/h/ZOJZfhhV/ZGPVtmyM7hGJSYPbo190SIOntO46XoCXvz+Avadt0/OiQn3x7M3dMKp7ZL2vKQgCukYGoWtkEKYO64TzpRXYcug8Nh44jz+y8nC2uAIfbj+BD7efQAs/NaYmdML466KZrHuxUwXlGLf8L5wvNSI2IhAfPTwQwX7yJugAoFAIeP2e3hiV8hsyzpQg5dfDeHI0t86ixtHr9Th69CgefPBBuUMhIiIPlZiYiDVr1tTaRq/XV3v+7NmzWL9+PYYOHeqK0OpN1iT977//xrBhl9YeVE5TmzBhAlavXo1z587h5MmT9ufbt2+PH374AbNmzcKbb76Jtm3bYsWKFbJtv0aukZp5Hk9+sRfnS41QKgRMG9YJ027sBLXS+aNxfhoVHrw2Gvdf0w6ph89j1R/H8UdWPn7cl4Mf9+Wgd9tgTLq+PW7u2arO9z9VUI6FGw7hh73nAAABWhWm3dgJEwfHOC1p1gX6YOyAdhg7oB0qzFZsy8rHrwfPY9PBXJwvNeKVHw/ig+3HMWdULG7r1do+g4C8w7liA8at+AtniyvQMdwfayYPRKh/3afKu1pEkA/m39kTj6/9B0u3HkVCrA7XtG/YdDRqnpKSknDbbbchOjoaZ8+exbx586BUKnHffffJHRoREXmo5ORkJCUl1avPfffdh2+++QYGgwG33XZbrTsOuZOsSXpCQkKthYRWr15dbZ/du3e7MCqSS7nJgvk/HsSav2wfzHQI98cb98ajd1QLl99boRBwY9cI3Ng1AodySvD+H8fxVfoZ7DldjBmfpmPBj4cw/rpojLumHVr4VZ8M6Y0WLE3NwvLfs2G6uO78PwPaYfZNXRAe6LopmD5qJYZ3i8DwbhGwij3wZdppLN6YidOFBsz4NB0rfs/G3Ju74rqOYS6LgdznfEkFxi3fgVMFBkS39MPHU6516b9fDXVzz1a4u19bfJF2Gg+v3oX/Du+ECdc574Mq8m6nT5/GfffdhwsXLiA8PBzXX389/vrrL4SHh8sdGhEReSidTmffFrmu3njjDcybNw+HDx+21zb53//+56II665JrUkn75V2ohBPfJaO4xds+z5PHByDp0Z3hY/a/W/ou0YG4dW7e2HO6Fis/eskPvrrBHJKKvDahky8tekI/t23LSYObm8viCWKEr745zQW/ZyJvIvrzgd1aInnb41DXGv3VhRWKgTcOyAKt/VujVXbsrE09Sj2nSnGuOU7cGNXHZ4e0xVdIpyzZIDcL19vxLgVO5CdX4Y2LXzx8ZRrERHkc/WOMnnxX92RdV6P9FNFmP/jIazdcRJzx3TDqO4RTq2MTt7n008/lTsEIiJqYhoy3T0yMhKRkZHo2rUrQkNDMWTIEDz//PNo1aqVK0O9KibpJCuTRcSbmw5jaepRiBLQKtgHr9/TG4M7yT/qGxagxYwRnZGY0AHf7TmHlX9k4+C5EqzdcRJrd5xEQmw4bu7RCh/+dRwZZ2z78Ua39MOzN3fDTXHyJiG+GiWmDuuEsQOi8NamI/h4x0lsPnQeqZnncW//KMy6qYtHJ3euYLKI2H+2GGknCnG+1Ijb41uje+ums21PUbkJD6zYgazzekQG+eCTKdeiTYvqd7XwFAFaFb587Dp8efFDrBMXypG4Jg3XdgjFc7dcvXgiEdGVTp85A1zQo8Rw2VajLeWLh4g8R0Omu1+ucuvVy7fvlguTdJJNZk4pZq5Lx8FztgT3rr5tMO+27gj2lb/41eW0KiXu7tcW/+7bBn8dK8DKP7Kx6VAuUjPzkJpp2xYuUKvC9OGdPa5YW1iAFsm398BD18Vg0c+Z+CkjB5/uOoVv0s9iypD2eGRox2q3nfMGhWUm/HOyEH+fKETaiULsOVUEo+XSvtfv/XYMN/eMxKwRXdDZw2cXlFSY8eDKnTiUU4qwAC0+njIQ7Vo6ZwcCV1MqBNzbPwq39GyFpalHsfz3Y/jrWAFue/sP3NOvLZJGxkLXzD4wIiIiIuerz3T3H3/8Ebm5uRgwYAACAgKwf/9+zJkzB4MHD0ZMTIxrA60D73x3Th7NKkpY+ccxvP7zYZisIkL9NZh/Zw+M7iHvtJKrEQQBgzq2xKCOLZGdX4YP/jyO347kYVCHlph1UxeEBXjeuuBKHcIDsPSBfkg7UYBXfjiIf04W4a3NWfh450nMGNEF/xkQ5fTCfJIk4XypEZk5pVApBUQG+SAiyAf+LvhQQJIkHMsvQ9pxW0L+94kCHM0rq9IuxE+NftEhUCkU+PmArTjgTxk5uL13a8wY0QXtw/ydHltj6Y0WTFi1E/vOFCPUX4OPpwxEh/AAucOqN3+tCkmjYnHfwHZ49adD+HbPWXz292n8sPccHh/WCQ9f316W5S1ERERUs8Abh129URPk6+uL5cuXY9asWTAajYiKisJdd92Fp59+Wu7QAACCVFvlNi9UUlKC4OBgFBcXIyjIveuFyVb5/InP9mDn8QIAwIhuOsy/qyd0gRxJcxdJkvDz/hy8uiET2fm2RLZDuD+eGt0VIxs4Td9osSLrvB4Hz5Xi4LkSHDxXgkM5pSgoM1VpG6hVQRekRWSwDyICfRAR7IOIQNuxLsgHkUE+CA/U1vqhQYXZir2nbVPX004UIO1EIQrLzVXadQz3R//oUPSLDkG/mBB0CPO3v77MnFK8sfEwNuzPAWAb8b2rTxtMH94ZUaGeMUpdbrLgoVW7sPN4AYJ91fhkyrVur3PgKmknCvHy9weQfqoIANCmhW1bxFt7tWqW69X5t8n5+DO95NcDudWeHxEX4eZIqpd6KtX+/e5sCwCgZ1hPhzYj4iLwS37xxenuWThhyLc/N6xlIQAg4donXB4rkTeqqKhAdnY22rdvDx8fvidvjNp+lvX5u8SRdKpRuckCrUoJpRO275IkCet2ncLL3x9AmckKf40S827rjnv6t22Wb8jlJAgCRvdoheHdIvDJzpN489cjOJZXhkc/SsOAmBDMvbkb+rYLqbH/+dIKHDxXikMXk/GD50pxNE8Pi1j18z6FAMRcHJ3OLa5AmcmKUqMFpXmWake6L8UItPTXIOLi6LvtoYW+woK0k4XIOFMMs9XxflqVAr3btkC/mBD0jw5B33YhCKllW7LYyEAse7AfMs4UY8nGw9h86Dw+TzuNr9PP4N7+UZh2Yye0CpZvzXeF2YopH/6NnccLEKhV4aOHr/GaBB0A+kWHYP1j1+HbPWfx6oZDOFNkwH8/2Y3Vfx7H87fGId4NuzoQEREReSIm6VSt+T8exHu/HQNgG/kM8lXbHj4Xv/dRI8hXdfHrpfPBlz/nq0aARoX8MiPmfrkPmw6dBwBcExOKxff29pjRyuZKrVRg/KAY3NmnDd7degwr/jiGXccLcdf//sTNPSMx+6YuMFsl+6h45Qh5vr7q6DgABPmo0K1V0MVHILq1CkKXiECHKcx6owU5xRU4X1KBnJIK5JYYkVtScdnDiPOlFTBbJeTrTcjXm7D/bEm19wsP1KJ/dIhtlDw6BN1bB0Ojqv+U/R5tgrHqoQH452QhlvxyGH9k5WPtjpP4PO007h/YDo8ldHT7TA+jxYrH1qRhW9YF+GmUWD3pGvRq28KtMbiDQiHgjj5tMKp7JJb/fgxLU48i7UQh7nhnG+7s0wZPjo51ygclJRVmHMsrw9HzehzL1+Po+TLc1rs1bunl2UtsiIiIqHlikk5VfPb3KXuCDsA28mm04EyRod7XEgRAKQiwiBI0SgXmjIrFpOvbO2V0npwj0EeNpFGxeODaaCzZmInP007jx3229drVEQSgfUt/h2S8a6sgtA72ueqsiACtCp10Afbt66ojihIKyk0OiXvl9yqFAn2jW6B/dCjahvg6dRZG33YhWDN5IHYcu4DFvxzGzuMFeH/bcXyy8yQmDIrBo0M7IrSWkXlnMVtFTPt4N7Zk5sFHrcCqhwagX3TNMxu8ga9GienDO+Pe/lFY9HMmvvznNL7afQY/ZZzDozd0xKNDO8BPU/ufK1GUcLbYgKNXJONH8/Q4X1q1SmurFj5M0omIiMgjMUknB/+cLMRzX2UAgK1a+aBolBjMKKmwXPxqRonBgpIKM4oN5mqeu3RstIiQJMAiSYhrFYQ3xsYjNtKzq2g3Z5HBPnjt7t6YdH17LPzpEFIz8xCoVaHrxUS88tElIuCqCVNjKBQCwgK0CAvQyrJF2sAOLbHu0WvxR1Y+Fv9yGOmnivDub8ew5q8TmHR9e0we0sFlOxBYrCJmfpqOjQdyoVEpsGL8AFzbofnsLRQZ7IPF9/bGhOui8fL3B7DreCHe3HQE63adwpOjY3FHfBsYLaItAc8rw7E8vUNSXmEWa7y2LlCLjuEB6KjzR4ewAPSP8e4PPoiIiKjpYpJOdrklFUj8KA0mq4iRcRGYObyzPWFqiAqzFaUVFhhMVrQN8YWCo+dNQtfIIKyeeA3KjBb4aZTNsmaAIAgY0jkc13cKw5bM81j8y2HsP1uC/7c5C6v/PI5HhnTAxOvbO3X7OqsoYc4Xe/HDvnNQKwW8+0A/XN85zGnXb0p6tW2Bzx4dhJ8ycjD/x4M4XWjA7M/2IPn7AyiqpkBgJbVSQExLf4dkvKMuAB3C/RHk41lbOxIRERHVhEk6AbAl1I9+lIbzpUZ0iQjAkrHxjU6qfdRKbqnUhLliq7SmRhAE3Ng1AsNidfh5fw6WbDyMw7l6LN54GKu2ZePRoR0xqENLaNUK+KiUDl/rU3RRFCU8+9U+fLX7DJQKAW+P64thXeu2z6e3EgQBN/dshRu76vD+tuN4Z0uWPUFv4adGp/CAKsl4VIgvVE7eSpCIiIjI3fgunCBJEp7/OgPpp4oQ7KvG8vH9nTpCSNTUVVbEvykuEt/vPWuriJ9fhoU/Haq1n1opQKtSwudi0q5VKaBV275efq6kwoy/jhVAIQApY+Mxqnukm16Z5/NRK/FYQkfcd00UsvPLEN3S3y21AYiIiIjkwkyM8MGfx/F52mkoBODtcX0Q3dJf7pCIPJJSIeD2+Da4pWcrfJ1+Fh9uP44LehOMFisqzCKMFqvD1nBmqwSz1QJ91bplVQgC8Po9vXFb79YufAVNVws/Dfq0Y3JORERE3o9JejP3Z1Y+Xv7hIABg7phuGNI5XOaIiDyfSqnA3f3a4u5+bas8ZxUlGC1WGM0iKq74arSIqDBbHb5WJvjxUS28voo7EREREV0dk/Rm7FRBOaZ+/A+sooQ7+7TB5CHt5Q6JqMlTKgT4aVTw46AvETV3mT9Vfz52jHvjIKIGy96b77Z7te9V/4K5CQkJiI+PR0pKivMDkhGT9Gaq3GTBlA//RmG5Gb3aBmPBXT2bZRVvIiIiIiJqmtavXw+1unE7uFy4cAG9e/fGmTNnUFhYiBYtWjgnuEZgGdxmSJIkzPl8Lw7llCIsQINlD/RjFXYiIiJqcoqMRThechzHS44j9VSq3OEQkZuFhoYiMDCwUdd4+OGH0atXLydF5BxM0puh/6Uete/FvPSBfmjdwlfukIiIiIiIiOolISEBM2fObHD/pUuXoqioCElJSc4LygmYpDczmw/l4vVfMgEAL/2rBwbEhMocERERERERUeMkJiYiICCg1sflDhw4gOTkZHz44YdQKDwrLeaa9GYk67weMz5JhyQB9w9sh3ED28kdEhERERERUaMlJyfXeUTcaDTivvvuw6JFi9CuXTscO3bMxdHVD5P0ZqLYYMYjH/6NUqMFA2JCMO+27nKHRERERERE5BQ6nQ46na5ObefOnYtu3brhgQcecHFUDeNZ4/rkElZRwsxPd+NYfhlaB/vgf/f3g0bFf/REREREROQd6jPdffPmzfj888+hUqmgUqkwfPhwAEBYWBjmzZsn10uw40h6M7D4l0xsycyDVqXAuw/2R3igVu6QiIiIiIiInKY+092//PJLGAwG+/GuXbswadIk/P777+jYsaOrQqwzJule7vu9Z/G/1KMAgNfu7oWebYNljoiIiIiIiMi56jPd/cpEPD8/HwDQrVs3j9gnnUm6F9t/thhzPt8LAHj0hg64Pb6NzBEREREREVFT0b5XmNwhNEtM0r3UBb0Rj3yYBoPZihu6hOPJ0V3lDomIiIiIiMhpUlNTnXKdhIQESJLklGs5A6uHeSGzVcTUj//BmSIDYlr64f/9pw+UCkHusIiIiIiIiOgqmKR7oVd+OIi/jhXAX6PEe+P7I9hPLXdIREREREREVAec7u5lPvv7FFb/eRwA8MbYeHSJCJQ3ICIiIqJq/HogFwCwL98icyRERJ6FI+leRBQlvPLDQQDArBFdMLJ7pMwRERERERERUX0wSfcix/LLUGwww1etxNRh8u/vR0RERERERPXDJN2LZJwpBgDEtQ6CSsl/tERERERERE0NMzkvUpmk92gdJHMkRERERERE1BBM0r3IvsokvU2wzJEQERERERFRQ7C6u5cQRQn7z5YAAHq2ZZJORERE3quw3AQAKLdIyLWItnPZFiREyRkVEZFzMEn3EscvlEFvtECrUqBTeIDc4RARERE5XVFuOVAiQCrzBQAorAKUxlYAAMECZO/Nt7dt3ytMlhiJvMnRtB1uu1fHfgPr3SchIQHx8fFISUlxfkAyYpLuJTIujqJ3a8WicURERERE5P3Wr18PtVrdoL6CIFQ598knn+A///lPY8NqNCbpXqKyaFxPrkcnIiKipqgi2/5tcaltCntwYG+5oiGiJiA0NLRR/d9//32MHj3aftyiRYtGRuQcTNK9xL7TTNKJiIiIiKj5aOx09xYtWiAyMtK5QTkB50V7AUmSkHGWld2JiIiIiKh5SkxMREBAQK2PK02dOhVhYWG45pprsGrVKkiSJEPkVXEk3QucLChHaYUFGpUCnSNYNI6IiIiIiJqX5ORkJCUl1av9jTfeCD8/P/zyyy94/PHHodfrMX36dBdGWTdM0r1A5f7o3SIDoWbROCIiIiIiamZ0Oh10Ol2d2z///PP27/v06YOysjIsWrTII5J0ZnReoDJJ51R3IiIiIiJqjhoy3f1yAwcOxOnTp2E0Gt0Ucc04ku4FMpikExERERFRM1bf6e5XSk9PR0hICLRarROjahgm6U2cJEnIOGPbI52V3YmIiMhr5GcBJRbb90oBqNACJWXyxkREHqs+092/++475Obm4tprr4WPjw82btyI+fPnNyrJdyYm6U3c6UIDig1maJQKdIkIlDscIiIiIiLyEh37DZQ7BJdQq9V45513MGvWLEiShE6dOmHJkiWYMmWK3KEBYJLe5FWuR4+NDIRGxRIDRERERETUPKSmpjao3+jRozF69GjnBuNEzOqauEtF44JkjoSIiIiIiIgai0l6E8eicURERERERN6D092bMFvROFuSzqJxRERE5A1URYDFZIBQaoIZBgCAUbAC4fJXXCYicgeOpDdhZ4oMKCw3Q6UQEBvJonFERERERERNHZP0JqxyFL1LRCC0KqXM0RAREREREVFjMUlvwrg/OhERERERkXfhmvQmzF7ZvS2TdCIiIqIrlW7e4nAceOMwmSIhIqo7JulNFIvGERERUXOxx2zE0fIKFFoscodCRORyTNKbqHPFFbhQZoJSIaAri8YRERFREyeZcgEAogQYLBUwG07DYgkAAAgKA0qUGgCael2zuGSPw3FFvojwsOFOiZeIyFWYpDdRlaPonXUB8FGzaBwRERERETmX4cAFt93LN65lvfskJCQgPj4eKSkpzg9IRiwc10RxqjsRERERETVn69evx8svv9zg/qtXr0avXr3g4+MDnU6HqVOnOjG6huNIehNVWTSuJ4vGERERkZfKM9jWoAsKE/RqM66c7i6aAWv5xe9FCbnHS+zPte8V5q4wiUgmoaGhDe67ZMkSLF68GIsWLcLAgQNRVlaG48ePOy+4RmCS3gRJkoR9F7df696aSToRERE1Tfvy9+FEyQkAgLbCNgDRGsE4aVVBCxXKIAAAdA28/qGiEw7HvdGzwbESkedp6HT3wsJCPPfcc/juu+8wfPilOhW9evVycoQNwyS9CTpfakS+3giFAMS1CpI7HCIiImqCfj2QW+XciLgIGSIhImq8xMRErFmzptY2er0eALBx40aIoogzZ86gW7duKC0txXXXXYfFixcjKirKHeHWSvY16e+88w5iYmLg4+ODgQMHYufOnbW2T0lJQWxsLHx9fREVFYVZs2ahoqLCTdF6hn2nK4vGBcJXw6JxRERE5Pl+qdDaHvnF+CW/GLtLy+QOiYi8SHJyMtLT02t9VDp27BhEUcT8+fORkpKCL774AgUFBbjppptgMpnkexEXyTqSvm7dOsyePRvLli3DwIEDkZKSglGjRiEzMxM6XdWJTR9//DGefvpprFq1Ctdddx0OHz6Mhx56CIIgYMmSJTK8AnlUrkfv3oaj6ERERNT8+Ju0AAC1VYE2xpbIUVyAWhQg5BvsbdxZlZqI5KfT6arNIasjiiLMZjPeeustjBw5EgDwySefIDIyElu2bMGoUaNcGepVyTqSvmTJEkyZMgUTJ05EXFwcli1bBj8/P6xatara9n/++ScGDx6McePGISYmBiNHjsR999131dF3b8PK7kRERERERJckJiYiICCg1kelVq1aAQDi4uLs58LDwxEWFoaTJ0+6PfYryTaSbjKZkJaWhrlz59rPKRQKjBgxAtu3b6+2z3XXXYc1a9Zg586duOaaa3Ds2DH8+OOPePDBB2u8j9FohNFotB+XlJTU2LapyDjLJJ2IiIi8i2iQAABWK2DSWKGySLCYrLYn/WUMjIiahOTkZCQlJdWp7eDBgwEAmZmZaNu2LQCgoKAA+fn5iI6OdlmMdSVbkp6fnw+r1YqICMcCJRERETh06FC1fcaNG4f8/Hxcf/31kCQJFosFiYmJeOaZZ2q8z4IFC/DSSy85NXY5nS+tQG6JEYIAxLXmdHciIiJqYs6k2b5esALGY0BFnrzxEJFXqM909y5duuD222/HjBkz8N577yEoKAhz585F165dMWzYMBdHenVNqrp7amoq5s+fj//9738YOHAgsrKyMGPGDLz88st4/vnnq+0zd+5czJ49235cUlLiERX7GqpyqnvH8AD4aZrUPz4iIqIGWbhwIebOnYsZM2bUe5sdah5am1tCZVWg7NQx+7m/NPtw5lw2gn2CEBDSUsboiJou3zjv/W/nww8/xKxZs3DLLbdAoVBg6NCh2LBhA9RqtdyhyZekh4WFQalUIjfXcfuP3NxcREZGVtvn+eefx4MPPojJkycDAHr27ImysjI88sgjePbZZ6FQVF1ir9VqodVqnf8CZLLvtG26Pqe6ExFRc7Br1y68++67HrN3LTVO+eFLaz2NRRr4lJwHWgs1ttf4nLd99bsAlUoC4AOLqY2rwySiJiI1NbXBfYOCgrBy5UqsXLnSeQE5iWyF4zQaDfr164dNmzbZz4miiE2bNmHQoEHV9ikvL6+SiCuVti3IJElyXbAepHI9eg8m6URE5OX0ej3uv/9+LF++HCEhIXKHQ06QX+pnf5QYtCgvDwEKWsgdFhGRR5G1uvvs2bOxfPlyfPDBBzh48CAee+wxlJWVYeLEiQCA8ePHOxSWu+2227B06VJ8+umnyM7OxsaNG/H888/jtttusyfr3o6V3YmIqLmYOnUqbrnlFowYMeKqbY1GI0pKShweRERETZGsi5rHjh2LvLw8vPDCC8jJyUF8fDw2bNhgLyZ38uRJh5Hz5557DoIg4LnnnsOZM2cQHh6O2267Da+88opcL8Gt8vVGnCuuYNE4IiLyep9++in++ecf7Nq1q07tva1QrLc5eigb51QhKNKXXnbWe9e6EhE1huyVx6ZNm4Zp06ZV+9yVawxUKhXmzZuHefPmuSEyz7Pv4ih6+zB/BGhl/0dHRETkEqdOncKMGTOwceNG+Pj41KmPtxWKlcuvB3KrPT8iLqLa83JQac4A/mYAgGC2QivkwJzfUeaoiIich5leE7KfU92JiKgZSEtLw/nz59G3b1/7OavVit9++w1vv/02jEZjlWVu3lYotjlT5hfBV2UGyhSQYNsn3eyrhlmlgprvXImoGeCvuiZkH5N0IiJqBoYPH459+/Y5nJs4cSK6du2Kp556qtnUoSEiouaJSXoTknHGVgSne2sm6URE5L0CAwPRo0cPh3P+/v5o2bJllfNERETehkl6E1FQZsKZIgMAoHsbFo0jIiJqrprCunEiImo4JulNRMZlReOCfNQyR0NEROReVxaTJSIi8lZM0puIyvXoPbgenYiIiJqwinLbzMAKVKDCYIBJr4AoGKAOdM71z1kvAACMF0pQZvKH0apGQIhzrk3U3GRmZrrtXrGxsfXuk5CQgPj4eKSkpDg/IBkxSW8iKkfSe3B/dCIiIvICYoURVoMJCpUAWPQQVCIkX1boJ6K6W79+PdTq+s8yXr16NSZOnFjtc7m5udDpdI0NrVGYpDcRrOxORERE3qhI7Y9y3xZoqTQAUMNfAXBhHxHVRWhoaIP6jR07FqNHj3Y499BDD6GiokL2BB1gkt4kFJWbcLqwsmgck3QiIiJq+iosFTCZK6AqA7RWExAMhBh84WsFVKIKgBqiAJglY4Ou7xt4DIKiEGqFGvAtBwyRzn0BRCS7hk539/X1ha+vr/04Ly8PmzdvxsqVK50cYcMo5A6Arq5y67Xoln4I9uVny0RERERERJdLTExEQEBArY+afPjhh/Dz88Pdd9/txohrxpH0JsBeNI77oxMREVETk3mmELkX9Ljg6wuD0QyTVYJWKTi0sUoKiJIZoihClAArLFDW8z7FwnlIChNKJT0AwCwUIcgqQG0xQLhQBhSZoNj5G4waW2E5bVQgEDvGGS+RiDxAcnIykpKSGtR35cqVGDdunMPoupyYpDcBGazsTkRERF7AbAYsFkBhBSyiElZRgCgpIUmc3ElEjaPT6Rq0nnz79u04ePAgPvroIxdE1TBM0puAjLMsGkdERETNk0UEys0STGYRVtEKoGFvYPNEJTIsGvgKtjXu18BJe74RkUdITEzEmjVram2j1+urnFuxYgXi4+PRr18/V4VWb0zSPVyxwYwTF8oBAN25/RoRERE1K1ZAsAIwQoIFlooyCIIaSvvIezUj8MZyZIaHQ1S0hcYvFD5KK4LUEqIKctwZOBG5WUOmu+v1enz22WdYsGCBi6JqGCbpHm7/xanubUN8EeKvkTkaIiIiIiIiz9OQ6e7r1q2DxWLBAw884KKoGoZJuofj/uhERERERCSH2NhYuUNwqZUrV+Kuu+5CixYt5A7FAZN0D5dx1rb9GovGERERUVOSfdQ2FT2vQIviAjXKg+ter90qiVAAkCBBkiSIkuiiKImoKUtNTW1U/z///NM5gTgZk3QPx8ruRERERDXbF9AGBikEZYoAaGGFucKW0Nd3CzciIk/BJN2DlVSYkZ1fBoDT3YmIiKj50pRVQKUxQrKaIQgioPGMvYyJiFyBm1J6sP1nbFPd27TwRSiLxhEREZGXMEkSRABWAJzITkTkiEm6B9t/tnKqO7deIyIiIiIiag443d2DVVZ279GaU92JiIjI+5wJ1aHYVwuT2h8GpQnlgi+KfYEOhnyn3UOURJhEMyosFSg2FqPUfB46v/pt00RE5E5M0j2YPUlvyySdiIiIqJJVkmxfBUCQORYiImdjku6h9EYLi8YRERFRs6GqsEAhWSFZANFshtUCiArAKpqxvzwMZxR+AAABAgSND9oElDr0D9CXQQ0JBtECAFBUmJjBE1GTxCTdQx04WwJJAloF+yAsQCt3OEREREQykAAJgGD/Akmqf+5dIfmiHMFQlCqhECzQ+Tk/UiIiZ2GS7qEqp7p353p0IiIiamay/XRQioBZkGAUzU6//vny89iXfw4X/GxbuSVEJTj9HkREDcUk3UNlXEzSOdWdiIiImjO1cHEb2srhc0Hgtm1EbpKXv8lt9woPG17vPgkJCYiPj0dKSorzA5IRt2DzUJUj6T3bcvs1IiIiIkgSbNPfJUASbY+rESVAlCBYrRDMFgjlFS4Pk4jcZ/369Xj55Zcb1HfXrl0YPnw4WrRogZCQEIwaNQp79uxxcoQNwyTdA5WbLDiapwcA9OBIOhEREXkxH6MJgWUV8DGYoDZZam9sK+oOwSpCYbZCbbZAazDDV290faBE5HFCQ0MRGBhY7356vR6jR49Gu3btsGPHDvzxxx8IDAzEqFGjYDY7f4lNfTFJ90CVReN0gVroAn3kDoeIiIjIpQTJD4LkA4WoBiSl7VEj6bKvElCPye+nUIpT1jwctJxCWtkp7Mvf14ioiUhuCQkJmDlzZr37HTp0CAUFBUhOTkZsbCy6d++OefPmITc3FydOnHB+oPXENekeaB/XoxMREVFTkflTDU/YxoKs2gNQBudB4WeBKsQAWCwwF4RWbS5JgCBVPU9EVAeJiYlYs2ZNrW30etts5djYWLRs2RIrV67EM888A6vVipUrV6Jbt26IiYlxQ7S1Y5LugSqTdE51JyIiIiIiurrk5GQkJSXVqW1gYCBSU1Nxxx132Ne0d+7cGT///DNUKvlTZPkjoCr2nykBwCSdiIiIqLGsVgUkCTAbARRbAa4kJPJKOp0OOp2uTm0NBgMefvhhDB48GJ988gmsVitef/113HLLLdi1axd8fX1dHG3tmKR7GIPJiiPnSwFwujsRERHRJcKlbyXp4pJ0CYAACSIgShAFbs5G1FzVZ7r7xx9/jOPHj2P79u1QKBT2cyEhIfjmm2/wn//8x+Xx1oZJuoc5cK4EogSEBWgREaSVOxwiIiIiIiKPV5/p7uXl5VAoFBCESx/+VR6Lovwf9jFJ9zAZ9qJxQQ7/0hARERGRTWVd9/q+U2ppjQDKgxAgKhFstcLfFASEuSBAInK7+kx3v+mmmzBnzhxMnToV//3vfyGKIhYuXAiVSoVhw4a5ONKrY5LuYTJYNI6IiIiaK+mK710wXiEYTRBEAYqKcihL1NCUFwNRCc6/EZEXCA8bLncILtG1a1d89913eOmllzBo0CAoFAr06dMHGzZsQKtWreQOj0m6p2FldyIiIiIioqtLTU1tcN+bbroJN910k/OCcSIm6R6kwmzFkfO2YgYsGkdERETeTgEL1JJtuFwpWaCACGW9riDBJFhhVFhhEoy2N7ZW58dJROROTNI9yMFzJbCKElr6a9AqmPuDEBEREdWHBZdmyFtFAYACvszaiaiJYZLuQTLO2vZH794mmEXjiIiIyKv5qvyhETSwXHzLo2rsW5/KgsyV69pFCVBcPCUJkCQBEAVIVgWglqq7AhGRR1DIHQBdknH6UmV3IiIiIiIian44ku5B9tm3X+N6dCIiImraDEdO2r5RXoBkKIUkGRp8LVGo/8i3VaEABMACEZygSERNCZN0D1FhtuJwbikAVnYnIiKi+vv1QK7cITSKdHE1uXjZOVGqW3atCc6DQrKVnBMk2xr0MqnyGgAgwCQqoBAFiCIgWAS00DgpcCIiJ2OS7iEO55bCIkpo4adGmxa+codDRERE5BJWSYRZtEKUJEiQ4Kphbj/BDxAkqGCFIAChCgXKXXInIiLnYpLuIS6f6s6icURERORNRIMRkq8ZoigAVhGCxerUykgNmA1PROSxmKR7iIyLSTqnuhMREZE3KMwvAgAYgipgtlphEcWL26IBSqggQAHh4v8705nywIvfWQFBgkISEeVf5NR7EJFnSEhIQHx8PFJSUuQOxamYpHsIFo0jIiIiIiJP8kt+sdvuNTKs/nnQ+vXroVarG3S/TZs24fnnn8e+ffvg7++PCRMm4JVXXoFKJX+KzC3YPIDJIiIz52LRuNZM0omIiIiIiK4mNDQUgYGBV294hT179uDmm2/G6NGjsXv3bqxbtw7ffvstnn76aRdEWX9M0j3A4dxSmK0Sgn3ViApl0TgiIiJqukp37kfpzv0wFxTDXFAMscIoUyRKCJISgAqQ1IAUIFMcROQqCQkJmDlzZr37rVu3Dr169cILL7yATp06YejQoXjttdfwzjvvoLS01PmB1hOTdA+QU1wBAIhu6ceicURERERERPWUmJiIgICAWh+VjEYjfHx8HPr7+vqioqICaWlp7g69Cvkn3BMKyk0AgFB/bthJRERE3k8dVgjBrIUACxQK2wAFC7QTUWMkJycjKSmpTm1HjRqFlJQUfPLJJ7j33nuRk5OD5ORkAMC5c+dcGWadMEn3AIVlF5N0PybpRERERA2hhhUAoJDESydrmaBYoNCgSOmLU5oW0F8sjtWQwlVE5Bl0Oh10Ol2d2o4cORKLFi1CYmIiHnzwQWi1Wjz//PP4/fffoVDIP9lc/gjIPpIewpF0IiIiIrdqVeiLgKMlCDhaAsOBC3KHQ0QNVJ/p7gAwe/ZsFBUV4eTJk8jPz8ftt98OAOjQoYMc4TvgSLoHsI+kM0knIiIiqpPT5cGX1fK5fMhcrK45EXm5+kx3ryQIAlq3bg0A+OSTTxAVFYW+ffu6Irx6YZLuAQouJukhnO5ORERERERUb/WZ7g4AixYtwujRo6FQKLB+/XosXLgQn332GZRKpQujrBsm6R6gwD6SrpY5EiIiIiLXMSksEEUJCoiwQqx2ybh4WQk50Umb3kgApIv/s0oiuOKTiH766Se88sorMBqN6N27N7755huMGTNG7rAAMEn3CIXlZgAcSSciIqLmw6y0TVKXLibiqgbMUpckqfIbp8V1NG1Htec79hvotHsQNRWeXkwxNTW1wX03b97svECcjEm6ByjgmnQiIiLycr7KACggQhIkCBBwsRi7W5wuD4ZFsMIoWmC1qOALBbSSBZFa98VARFRXTNJlZrGKKDZcHElnkk5ERETNgBWKi5PaBecMgjtpWjwRkSfgghyZFV1M0AGghS/XpBMRERERETVnTNJlVrn9WrCvGiol/3EQERERERE1Z7Jnhe+88w5iYmLg4+ODgQMHYufOnbW2LyoqwtSpU9GqVStotVp06dIFP/74o5uidT6uRyciIiJvttfSCvutbXHcEIiThiCcNAThlCFQtngUJhEKgwUos0JdUAbxwgXZYiEiqo6sa9LXrVuH2bNnY9myZRg4cCBSUlIwatQoZGZmVrvHnclkwk033QSdTocvvvgCbdq0wYkTJ9CiRQv3B+8kheWVe6RzqjsRERF5IZUJkMwARAASBAUgNaCSu7MIgmiLRbACggmSwPdgRORZZE3SlyxZgilTpmDixIkAgGXLluGHH37AqlWr8PTTT1dpv2rVKhQUFODPP/+EWm37hRoTE+POkJ2uoMy2Jp0j6URERERERCTbdHeTyYS0tDSMGDHiUjAKBUaMGIHt27dX2+fbb7/FoEGDMHXqVERERKBHjx6YP38+rNaa9/AwGo0oKSlxeHiSSyPpTNKJiIiIiIiaO9mS9Pz8fFitVkRERDicj4iIQE5OTrV9jh07hi+++AJWqxU//vgjnn/+eSxevBj/93//V+N9FixYgODgYPsjKirKqa+jsexr0gOYpBMRERERETV3sheOqw9RFKHT6fDee++hX79+GDt2LJ599lksW7asxj5z585FcXGx/XHq1Ck3Rnx1ldXdQzmSTkREREREVGcJCQmYOXOm3GE4nWxr0sPCwqBUKpGbm+twPjc3F5GRkdX2adWqFdRqNZRKpf1ct27dkJOTA5PJBI2maqKr1Wqh1WqdG7wTFVROd+eadCIiIiIi8iC/Hsi9eiMnGREXcfVGV1i/fr29Vll9TZ8+Hdu2bUNGRga6deuG9PT0Km327t2LqVOnYteuXQgPD8d///tfPPnkkw26X33INpKu0WjQr18/bNq0yX5OFEVs2rQJgwYNqrbP4MGDkZWVBVG8VBL08OHDaNWqVbUJelPAkXQiIiIiIqL6Cw0NRWBgw7d0nDRpEsaOHVvtcyUlJRg5ciSio6ORlpaGRYsW4cUXX8R7773X4PvVlazT3WfPno3ly5fjgw8+wMGDB/HYY4+hrKzMXu19/PjxmDt3rr39Y489hoKCAsyYMQOHDx/GDz/8gPnz52Pq1KlyvYRG40g6ERGRo6VLl6JXr14ICgpCUFAQBg0ahJ9++knusKgBzlp9UGbVoEJUwQIFJCggQpA7LLsjpmAcNPoj7VwJ0s6VYMupQrlDIqJ6aMx097feegtTp05Fhw4dqn1+7dq1MJlMWLVqFbp3747//Oc/mD59OpYsWdKIiOtG1i3Yxo4di7y8PLzwwgvIyclBfHw8NmzYYC8md/LkSSgUlz5HiIqKws8//4xZs2ahV69eaNOmDWbMmIGnnnpKrpfQaIXcgo2IiMhB27ZtsXDhQnTu3BmSJOGDDz7A7bffjt27d6N79+5yh0dOICgkABcfgi1pN3tO7k5ETVBiYiLWrFlTaxu9Xl/n623fvh033HCDw4ztUaNG4dVXX0VhYSFCQkIaHOvVyJqkA8C0adMwbdq0ap9LTU2tcm7QoEH466+/XByVexgtVuiNFgCc7k5ERFTptttuczh+5ZVXsHTpUvz1119M0j3MrwdyEXa2yH78FwIgmAIQoC9AhWREqWiFaDHKFyARNRvJyclISkpy2vVycnLQvn17h3OVg8k5OTnenaQ3Z0XltlF0pUJAoA//URAREV3JarXi888/R1lZWY01awDAaDTCaLyUDJaUlLgjPLoKQVTi0upKAYAEwYOmuxOR99DpdNDpdHKH4RRNags2b1O5R3qInxoKBf9gERERVdq3bx8CAgKg1WqRmJiIr776CnFxcTW2X7BgAYKDg+2PqKgoN0ZLRERyS0xMREBAQK2P+oiMjKx2J7LK51yJw7cyKrQn6ZzqTkREdLnY2Fikp6ejuLgYX3zxBSZMmICtW7fWmKjPnTsXs2fPth+XlJQwUSciakacPd190KBBePbZZ2E2m+3bvG3cuBGxsbEuneoOMEmXFSu7ExERVU+j0aBTp04AgH79+mHXrl1488038e6771bbXqvVQqvVujNEaupEBQSFAgpRCWuxbamEuUwEwmSOi4gapL7T3bOysqDX65GTkwODwWDfJz0uLg4ajQbjxo3DSy+9hIcffhhPPfUUMjIy8Oabb+KNN95w0Su4hEm6jAq4RzoREVGdiKLosOacPFemXwv4CCqYWvmhwqJGiX8FAEDuj1BOtwiBWWMFAKgFESoFYFZoEHuxRlClcnNalb5+6n5uiZGI3Gfy5MnYunWr/bhPnz4AgOzsbMTExCA4OBi//PILpk6din79+iEsLAwvvPACHnnkEZfHxiRdRvY16RxJJyIisps7dy7GjBmDdu3aobS0FB9//DFSU1Px888/yx0aEVGzMiIuQu4QalXdbmDO7NurVy/8/vvvDb5HQzFJl1HlmvRQf7XMkRAREXmO8+fPY/z48Th37hyCg4PRq1cv/Pzzz7jpppvkDo0aSClZoJCskATJfs5TSuaWSWWwGE8DAJQWFTQHtqO11paYlOjLAAAX2raFJTMTgK1eAhGRKzFJl1HBxelVLBxHRER0ycqVK+UOwSP8eiD36o2IiMjrMEmX0aWRdCbpRERE5MEyf6r2dNjZIvfGQUTUDDBJlxHXpBMRERHJS2H0gUKvBACYBQFGTXCVKneSIgMGQxEAIC/fNjU+PGy4O8MkomaESbqMCstZ3Z2IiIjIbaTLvhclSJAAUYTZZHtPZpIkgG/LiEhmCrkDaK4kSbq0BRtH0omIiIiIiAgcSZeNwWyF0SIC4HR3IiIi8k5WiBAhQSFJtlFsDynpLl2MRQIASYBotg2xW0VRzrCIiAAwSZdN5Si6RqmAv0YpczRERERE3k3lXwKF0vYpgUoCFAJgKQ8AUCFvYEREV6jzdPeSkhJXxtHsFJZd3H7NXw1B8JCPlYmIiIhcTIJgewi2BxEROapzkh4SEoLz588DAG688UYUFRW5KqZmoaCyaJy/9iotiYiIiIiI6EoJCQmYOXOm3GE4XZ2nuwcEBODChQvQ6XRITU2F2Wx2ZVxe79Ie6WqZIyEiIiIiIqpG5k/uu1fsmHp3Wb9+PdTqhuVT06dPx7Zt25CRkYFu3bohPT3d4fmKigokJiYiLS0NBw8exK233oqvv/66Qfeqrzon6SNGjMCwYcPQrVs3AMCdd94Jjab6gmebN292TnRezL5HOrdfIyIiInIri2CbTmoRRJgEKyCWQ6PwkzssIqqn0NDQRvWfNGkSduzYgb1791Z5zmq1wtfXF9OnT8eXX37ZqPvUV52T9DVr1uCDDz5AVlYWtm7diu7du8PPj7/MGsq+RzoruxMREZGXKTepIYgKQFIAkgCPKetORF4lISEB8fHxSElJqXfft956CwCQl5dXbZLu7++PpUuXAgC2bdvm1uXedU7SfX19kZiYCABIS0vDq6++ihYtWrgqLq/HkXQiIiJqDqyCAIUgQFQIti3PPIYECYAICRK49RpRU5eYmIg1a9bU2kav17spmsapc5I+e/Zs+/d9+vRBcnJyjW2XLFnSuKiaAY6kExERkTczCRUwKxQQIcECEWoPS9GJyLskJycjKSlJ7jCcos5J+u7dux2O//nnH1gsFsTGxgIADh8+DKVSiX79+jk3Qi9lH0lnkk5ERERe4kgecK5YCbFcA6slAGZJAR+Uyh0WETUDOp0OOp1O7jCcos5J+pYtW+zfL1myBIGBgfjggw8QEhICACgsLMTEiRMxZMgQ50fphSr3SQ/ldHciIiLycpJSCTOXpRORCzXL6e6XW7x4MX755Rd7gg7Y9lH/v//7P4wcORJPPPGE0wL0VpX7pIdwCzYiIiIij6LWnwYA+BmNAACpzASfgmJUhHaXMywiqkWznO5+uZKSEuTl5VU5n5eXh9JSTmm6GkmSLtsnnSPpREREREREjVHf6e5ZWVnQ6/XIycmBwWCw75MeFxdn32r8wIEDMJlMKCgoQGlpqb1NfHy8k6N31KAk/c4778TEiROxePFiXHPNNQCAHTt2YM6cObjrrrucGqA3KjVaYBFtxVNY3Z2IiIjIc2QYdChU+gAAjGbb8sT+aBpTZImo7iZPnoytW7faj/v06QMAyM7ORkxMDADg5ptvxokTJ6q0kSTXFsJsUJK+bNkyJCUlYdy4cTBf/OWlUqnw8MMPY9GiRU4N0BtVjqL7aZTwUStljoaIiIjIOXxwAmq1BpKPBdaAMiihkDskImqM2DFyR1Cr1NRUl/Y9fvx4g6/fGA1K0v38/PC///0PixYtwtGjRwEAHTt2hL+/v1OD81YXuEc6ERERERERVaNBSXolf39/9OrVy1mxNBtcj05ERERERETVaVSSTg3DPdKJiIiIPIPaZIUgGuEnAWpRgskf0Jtts0MtFgsAoLRUwHFTOaA5gsK8AgDAsLDhssVMRN6NC4VkUHhx+7VQP26/RkRERERERJdwJF0GBWW2YnscSSciIiLyDOWCCVaFBEhWlEEEAFgF23MlFgsMgghfGeMjouaDI+kysK9JZ+E4IiIiIiIiugyTdBkUlHNNOhEREREREVXF6e4yYHV3IiIiaspSCw8AAI4Zyuzn+vp2liscp7JaRVittu+NF88VWwRUqMDp7kTkFkzSZWAfSed0dyIiIiLZaHyLoA3Oh6DUQgFAJQFWuYMiomaP091lwJF0IiIioqbHbDmDMkM2ygzZyMvfhLz8TXKHRNSsJSQkYObMmXKH4XQcSXczqyihyGCr7s4knYiIiIiIPFXqqVS33SshKqHefdavXw+1umHbWk+fPh3btm1DRkYGunXrhvT0dIfnU1NT8cYbb2Dnzp0oKSlB586dMWfOHNx///0Nul99MEl3s2KDGZJk+74F90knIiIi8jhlogEAYLn4pq1UKIcaWjlDIqJqhIaGNqr/pEmTsGPHDuzdu7fKc3/++Sd69eqFp556ChEREfj+++8xfvx4BAcH49Zbb23Ufa+GSbqbFVyc6h7ko4JaydUGREREREREDZGQkID4+HikpKTUu+9bb70FAMjLy6s2SX/mmWccjmfMmIFffvkF69evZ5LubQrLuR6diIiImpb0U0UOx5dXda+0M0+FgnKg1KyE0mqF0gtLH1mLimAx2EbZDUW2N/Wl1bzOwBuHuTUuIgISExOxZs2aWtvo9fpG3aO4uBjdunVr1DXqgkm6m1WOpHOPdCIiIiIiIudITk5GUlKSy67/2WefYdeuXXj33Xdddo9KTNLdzF7ZnduvEREREREROYVOp4NOp3PJtbds2YKJEydi+fLl6N69u0vucTkm6W5m3yOdI+lEREREbqWwSvbvBUhQClItrS/xLTVCWSEisKwUPuoK28nOroiQiBrKVdPdt27dittuuw1vvPEGxo8f39Dw6oVJuptxj3QiIiIi+UkQIEmABNi/8o0xUdPliunuqampuPXWW/Hqq6/ikUceceq1a8PfRW5WUGbbIz2E092JiIiIiIicor7T3bOysqDX65GTkwODwWDfJz0uLg4ajQZbtmzBrbfeihkzZuDf//43cnJyAAAajabRW79dDZN0N7tU3Z17pBMRERE1JWZTOCDa3j7nnA0CAIS0ljMiImqoyZMnY+vWrfbjPn36AACys7MRExODDz74AOXl5ViwYAEWLFhgbzd06FCkpqa6NDYm6W5mr+7OkXQiIiLyMmGmHJQjFJIowgorAECCBAlKmSOrngAJCogQYIYAAQIAwWpG3VaqE3m/hKgEuUOoVWOS5av1Xb16NVavXt3g6zcGk3Q34z7pRERERE2LnxAApaREoOQHldX79n8nIs/C3zJuVqBndXciIiIizyLCVjrOCggWABaZ4yGi5oxJuhuZLCJKjbZf+twnnYiIiIiIiK7E6e5uVHRxqrtCAIJ8WTiOiIiISG4n/SMgCAIAASpBglkwoW3JKbnDIqJmjEm6GxVcTNJb+GmgVAgyR0NEREREl7NKgCgBVtH2Po0F5IhIDkzS3ehSZXeOohMREZF3Cc08hDxNAdRaH1itEqzw7vc7F3LOAQBOmGypfHRMRznDISIvwjXpblRYZgbAyu5ERERERERUPY6ku1HldHfukU5ERETUfGRmZjocx8bGyhQJETUFTNLdqLCMe6QTERGRd8gsCHY49rMKUOGcTNEQEXkPJuluZF+TziSdiIiImjitIt/huEQUESSJkCBCggAJEgQ03UK5EiyQ7PFbYRVFWMVL6+w1JS0BAOVGfwQFyhAgESEhIQHx8fFISUmROxSnYpLuRoUXp7tzj3QiIiKq9OuBXLlDoMtIAKR61HU3GGxfxbOX+sQ5OSYiuZRu3uK2ewXeOKzefdavXw+1umFFKqdPn45t27YhIyMD3bp1Q3p6usPzmZmZSExMxIEDB1BcXIzWrVtj3LhxmDdvXoPvWVdM0t2ogNPdiYiIiDyWBAHixa81EcQrvlpcHxcRVS80NLRR/SdNmoQdO3Zg7969VZ5Tq9UYP348+vbtixYtWmDPnj2YMmUKRFHE/PnzG3Xfq2GS7kb2kXQm6URERERERI3SmOnub731FgAgLy+v2iS9Q4cO6NChg/04Ojoaqamp+P333xscb11xCzY3qtyCjWvSiYiIqKkzV0gOD9EKSJJkX48O4NKk8brPHiciapDExEQEBATU+miMrKwsbNiwAUOHDnVSxDXziCT9nXfeQUxMDHx8fDBw4EDs3LmzTv0+/fRTCIKAO+64w7UBOol9ujvXpBMRERF5GAlXfpogXHyglunvJpMBZWV6nM/NsT+IyP2Sk5ORnp5e66MhrrvuOvj4+KBz584YMmQIkpOTnRt4NWSf7r5u3TrMnj0by5Ytw8CBA5GSkoJRo0YhMzMTOp2uxn7Hjx9HUlIShgwZ4sZoG85gssJgtgIAQvxdW2iAiIiIyNXECsdBB8lsASTh4npuDp0TkXvpdLpa88eGWrduHUpLS7Fnzx7MmTMHr7/+Op588kmn3+dyso+kL1myBFOmTMHEiRMRFxeHZcuWwc/PD6tWraqxj9Vqxf3334+XXnrJYZ1AdYxGI0pKShwecqhcj65WCgjQyv7ZCBERERHVU5nCitKLjwuCERcEo9whEdFFrpruHhUVhbi4ONx3331YuHAhXnzxRVitVidH70jWbNFkMiEtLQ1z5861n1MoFBgxYgS2b99eY7/k5GTodDo8/PDDV124v2DBArz00ktOi7mh7Huk+2kgCE13z1AiIiKi5kyEray7Ray5rHtmZqbD8ZkzZ9CmTRuXxkXU3CUnJyMpKcml9xBFEWazGaIoQqlUuuw+sibp+fn5sFqtiIiIcDgfERGBQ4cOVdvnjz/+wMqVK+u8pmDu3LmYPXu2/bikpARRUVENjrmhWNmdiIiIPF3Y2c1yh0BE1CD1ne6elZUFvV6PnJwcGAwGe34ZFxcHjUaDtWvXQq1Wo2fPntBqtfj7778xd+5cjB07lvukX660tBQPPvggli9fjrCwsDr10Wq10Gq1Lo7s6i4fSSciIiLyJpYiI0STFRazCNEqyh2O04kSAEmA9bKVorKvGSWiRpk8eTK2bt1qP+7Tpw8AIDs7GzExMVCpVHj11Vdx+PBhSJKE6OhoTJs2DbNmzXJ5bLIm6WFhYVAqlcjNzXU4n5ubi8jIyCrtjx49iuPHj+O2226znxNF2x8ClUqFzMxMdOzY0bVBN1BhGUfSiYiIiIio6Qi8cZjcIdQqNTXVZX3Hjh2LsWPHNvj6jSHrh4AajQb9+vXDpk2b7OdEUcSmTZswaNCgKu27du2Kffv2OZTR/9e//oVhw4YhPT1dlmnsdVVQXrlHOiu7ExERkffwtaihFZVQScJl25Vd2rzM211QlSNfMCDfoke+RS93OETkBWSf7j579mxMmDAB/fv3xzXXXIOUlBSUlZVh4sSJAIDx48ejTZs2WLBgAXx8fNCjRw+H/i1atACAKuc9TSH3SCciIiIvdUEoh0JhgUphhlm4WPVYar4DEwbDDodjo7EMAAvHEVHdyJ6kjx07Fnl5eXjhhReQk5OD+Ph4bNiwwV5M7uTJk1Aomv6qn4KLheNCON2diIiIqMkTKmzv7SSzFRazGeXaCgBAgSUEOOM4i6CiSIWr7BpMRGQne5IOANOmTcO0adOqfe5qawVWr17t/IBcoEDPNelERETU9OWdOA2TqRCWIj8AgEm0NJeZ7UREbtH0h6ibiMot2FjdnYiIiKgpkhyPJBGS5H2V7IlIfkzS3aSA1d2JiIjqZMGCBRgwYAACAwOh0+lwxx13IDMzU+6wiKpVoZZQoVIg11+JXH8lrKoLcodERE0ck3Q3kCTp0kg6k3QiIqJabd26FVOnTsVff/2FjRs3wmw2Y+TIkSgrK5M7NGoGNNDAR+EHH4UftBcfRETu5BFr0r2d3miB2WqbIsXq7kRERLXbsGGDw/Hq1auh0+mQlpaGG264odo+RqMRRqPRflxSUuLSGImIiFyFI+luUFhm2yPdR62Ar0YpczRERERNS3FxMQAgNDS0xjYLFixAcHCw/REVFeWu8MgLSJIEXP4gIpIRk3Q3qNx+jaPoRERE9SOKImbOnInBgwejR48eNbabO3cuiouL7Y9Tp065MUpSVgRBEIMBMQCQfCAp/CEplPZHc9Ei6Dj8g7PgpzhkfxCR6yQkJGDmzJlyh+F0nO7uBoVlXI9ORETUEFOnTkVGRgb++OOPWttptVpotVo3RdW8HSlW4pzFHxdMvgAAtaSEySrCH1aZIyMiZ8vem++2e7XvFVbvPuvXr4darW7Q/aZPn45t27YhIyMD3bp1Q3p6eo1ts7Ky0KdPHyiVShQVFTXofvXBkXQ3YGV3IiKi+ps2bRq+//57bNmyBW3btpU7HKoHtaCFWuH4ICJyttDQUAQGBja4/6RJkzB27Nha25jNZtx3330YMmRIg+9TX0zS3aCysjuTdCIioquTJAnTpk3DV199hc2bN6N9+/Zyh0RERB6oMdPd33rrLUydOhUdOnSotd1zzz2Hrl274t57723QfRqCSbobVI6kh3BNOhER0VVNnToVa9aswccff4zAwEDk5OQgJycHBoNB7tCIiMhDJSYmIiAgoNZHfW3evBmff/453nnnHRdEXDOuSXcDjqQTERHV3dKlSwHYRkgu9/777+Ohhx5yf0DULFxe0/2Ef4TjcwG2vdLjis9U6Sde7GmRACsAkyjBx1VBElGNkpOTkZSU5LTrXbhwAQ899BDWrFmDoKAgp123Lpiku0EBC8cRERHVmcQtsIiIqJ50Oh10Op3TrjdlyhSMGzcON9xwg9OuWVec7u4Glfukcws2IiIi8ialKj8UKX1RoVDDLDSfrdaqkAQoJSUUkgIQBUjlZvuDiNzD2dPdN2/ejNdffx0qlQoqlQoPP/wwiouLoVKpsGrVKhe9ChuOpLtB5T7pIf4N2x6AiIiIiIiIaubs6e7bt2+H1Xppa8lvvvkGr776Kv7880+0adPGafepDpN0NyjkFmxEREREXk0oLYKg0QMmAdZCFZQhoXKHRNSs1He6e1ZWFvR6vb0waeU+6XFxcdBoNOjWrZtD+7///hsKhQI9evRwZtjVYpLuYqIoXSocx+nuREREREREsps8eTK2bt1qP+7Tpw8AIDs7GzExMTJFZcMk3cVKKswQL9a/acEknYiIiIiImoj2vcLkDqFWqampbuv70EMPuW2HESbpLlZZ2T1Qq4JGxTp9RERERN6gQrQVyjMrFIAECMVGCD4WaE1maEQLtOVGlLZphUyLL5RWE3aXlAEA+gT5yxk2ETUBzBpdrLCc268RERERERFR3XAk3cUKLm6/xiSdiIiIvI3CIkIBQJBECBIgyB0QEZEXYJLuYvbK7n7cfo2IiIjIW1gUtoEY8eLEVAuMsMKMco0Ig8IMAXqUGHKgFIvlDJOImiBOd3exC2Wc7k5ERERERER1w5F0F+P2a0RERETeYX9wu0sHgVYAgHjxsFzyRx46QgDQqfQARKsCxVYlwn0zAQAaixEAYDD4AIh1X9BE1OQwSXexAo6kExERETVpp8uCAADS5ZNQJRFt/UpkioiIvBmTdBezr0lnkk5ERETUJEmSdPE7sdZ2RETOwDXpLlZQuQUbp7sTERERERHRVTBJdzGOpBMREZG3CTubi6CiUpgEDYyCGgZNIHJDw3AqoI3cobmUQhKveFih4Og6kWwSEhIwc+ZMucNwOk53d7ECe5LOLdiIiIiIiKjpOJq2w2336thvYL37rF+/Hmp1w/Ks6dOnY9u2bcjIyEC3bt2Qnp7u8Pzx48fRvn37Kv22b9+Oa6+9tkH3rCsm6S5ktoooqbAA4HR3IiIiIiIiZwoNDW1U/0mTJmHHjh3Yu3dvjW1+/fVXdO/e3X7csmXLRt2zLpiku1BRuRkAIAhACybpRERE5CXCzBeQJ2jhDwMESYBR0ModkqwUEKGC1X6sEQ0QRAFBFgsqLMHQqhzfB2ZmZla5Rmwst2Ujqq+EhATEx8cjJSWl3n3feustAEBeXl6tSXrLli0RGRnZ0BAbhGvSXahyj/QWvmooFYLM0RARERE1jibPBxHGYLRUdkCQMhL+yhZyh+QxfARf+yNACEEAQuQOiahZSUxMREBAQK2PhvjXv/4FnU6H66+/Ht9++62To64eR9JdiHukExERERERuV5ycjKSkpKcdr2AgAAsXrwYgwcPhkKhwJdffok77rgDX3/9Nf71r3857T7VYZLuQvbK7pzqTkRERNTkiYJQ6zERyUen00Gn0zntemFhYZg9e7b9eMCAATh79iwWLVrk8iSd091dyL5HOkfSiYiIiIiIXMZV090vN3DgQGRlZTkh2tpxJN2FOJJORERERETkes6e7l6d9PR0tGrVyqX3AJiku1RBma26O0fSiYiIiIiIXKe+092zsrKg1+uRk5MDg8Fg3yc9Li4OGo0GH3zwATQaDfr06QPAtif7qlWrsGLFCleE74BJugtVVncP9VfLHAkRERERERFVmjx5MrZu3Wo/rkzGs7OzERMTAwB4+eWXceLECahUKnTt2hXr1q3D3Xff7fLYmKS7kL26O6e7ExERERGAY4YKmMxlDuf6BPnLFA1R7Tr2Gyh3CLVKTU11Wd8JEyZgwoQJDb5+Y7BwnAtdGklnkk5ERERNW96J0yg+nw9ToQVmSyAskj9EUQtR8gMk2B50GQmSJEK0mGExmaAvKJA7ICJqIjiS7kLcJ52IiIi8nUWthBW2rcgkhVLmaIiImj4m6S7E6u5EREREdDnVyVNAhZ/92BQXJ2M0ROSJmKS7SIXZijKTFQBH0omIiIiaFQmAaPsqmC2QuMCUiOqBvzJcpKjctv2aUiEgyIefhRAREVHTd1QbBL1CDTOUsIJT2+tCISkhiAJgEGEpMcFaboalxCR3WETkwZg9usjlld0FQZA5GiIiIiJytxBzMMwKDQQo4GcA1JIZKrMSygoVlBfX7yvOGYArqrsbDlyoci3fuJZuiZmI5Mck3UUqk3TukU5ERERE9bHnVFGVc9cySSdqNpiku0hBOfdIJyIiImrO/MrMsCrKAAhQWySoDGVX7UNExCTdReyV3Vk0joiIiLzAP35hKLL4wxSuQqC/BacsPmjum6OfLg+ucq6tX7EMkRCRN2HhOBfhHulERERERESuk5CQgJkzZ8odhtNxJN1FCsu5RzoRERF5P63gC5VgG1FXKywyR+O5DGYJCti25zUaLFCIIgBAX1gO46kinLLm2tsGyBIhUVXVFTF0lYYUR1y/fj3U6obVAJs+fTq2bduGjIwMdOvWDenp6VXaSJKExYsX47333sOJEycQFhaGxx9/HM8++2yD7llXTNJdhCPpRERERFQXhefOwGQw2o9bFti+hka2kSkioqYhNDS0Uf0nTZqEHTt2YO/evdU+P2PGDPzyyy94/fXX0bNnTxQUFKCgoKBR96wLJukuYh9JZ3V3IiIiombLTyyHAgIUsGCfXwcAgNUCGH2DAADRdbiG+sghlKpPOpwLvHGYs0MlanISEhIQHx+PlJSUevd96623AAB5eXnVJukHDx7E0qVLkZGRgdjYWABA+/btGxVvXXFNuosUlJkBsLo7ERERERGRqyUmJiIgIKDWR31899136NChA77//nu0b98eMTExmDx5MkfSm7LK6u4t/bUyR0JEREREcjHCDEEhQIAEo2SCVrAN4JgttvX7BoMBJkkPg6RCWEgLGSMlatqSk5ORlJTktOsdO3YMJ06cwOeff44PP/wQVqsVs2bNwt13343Nmzc77T7VYZLuApIkXdonndPdiYiIyAspAm1bjakEQCE0763Y6kqySrDCCovFDEkyAACU5nJI1guQ9MUwluVD27YTAKCwPB+WAltxOaWxCMoL5ejYMky22Ik8nU6ng06nc9r1RFGE0WjEhx9+iC5dugAAVq5ciX79+iEzM9M+Bd4VmKS7QLnJCpPF9kuV+6QTERERUWPtLFLilPVS9XzfA7Zq8CPiIuQKicijJCYmYs2aNbW20ev1db5eq1atoFKp7Ak6AHTr1g0AcPLkSSbpTU1lZXetSgFftVLmaIiIiIgchZ117VRNIiJ3c/Z098GDK5tAXAAASmNJREFUB8NiseDo0aPo2LEjAODw4cMAgOjoupR8bDgm6S5wqbK7BoIgyBwNERERUcP9YzgCADgJXwBq+MBX3oCaKsEKQIQEq+0h2UbFRdEICMWAAFisJRAsAoCOsoZK1BTVd7p7VlYW9Ho9cnJyYDAY7Pukx8XFQaPRYMSIEejbty8mTZqElJQUiKKIqVOn4qabbnIYXXcFJukuYN8jnZXdiYiIiOgqQs1BCLBqoJXUUBX6AZyISR7CN66l3CG4zOTJk7F161b7cZ8+fQAA2dnZiImJgUKhwHfffYf//ve/uOGGG+Dv748xY8Zg8eLFLo+NSboLXD6STkRERETNx+nyYCjMbWwD5wAAyTazUgBOCy2ghAJWoy+MCjVaa41yhkrU5KWmprq0b+vWrfHll182+B4NxSTdBex7pDNJJyIiIiInKNEDavOlY83xEkTEBMkXEBG5jELuALxR5R7poX7cfo2IiIiIbKTK/0kiIIqQRCtEi/nqHYmoWfGIJP2dd95BTEwMfHx8MHDgQOzcubPGtsuXL8eQIUMQEhKCkJAQjBgxotb2cri0RzpH0omIiKjpKjirgb5AhSPnS1BQZkKFyYoKqRxmQYQICSJEiNwjnYjIqWSf7r5u3TrMnj0by5Ytw8CBA5GSkoJRo0YhMzOz2up8qampuO+++3DdddfBx8cHr776KkaOHIn9+/ejTZs2MryCquwj6UzSiYiI6KJfL+5rTd7vpH8kLm3wIwEKAQIAiLZDSKj8vxrtD/CDr9b2Vl0RHIAzJhW8t4QXEV1O9pH0JUuWYMqUKZg4cSLi4uKwbNky+Pn5YdWqVdW2X7t2LR5//HHEx8eja9euWLFiBURRxKZNm9wcec1Y3Z2IiIiIiIgaQtYk3WQyIS0tDSNGjLCfUygUGDFiBLZv316na5SXl8NsNiM0NLTa541GI0pKShwersbq7kRERERUG0myPUSrBKtVgsUswlRhRUWZRe7QiEhmsibp+fn5sFqtiIiIcDgfERGBnJycOl3jqaeeQuvWrR0S/cstWLAAwcHB9kdUVFSj474ae3V3jqQTERERUQPorUUoNl9AsfkCyi2lcodDRG4k+5r0xli4cCE+/fRTpKamwsfHp9o2c+fOxezZs+3HJSUlLk3URVHiSDoRERE1Wf8Yjti/t5pCcU4okDEa73bO5IMTvkHQwAof31IoIQAaEzoFnYSPKQ+lZttAlmStQJmlDOfNRdD5Va3ZRETeRdYkPSwsDEqlErm5joVUcnNzERkZWWvf119/HQsXLsSvv/6KXr161dhOq9VCq9U6Jd66KK2wwCraCoG04BZsRERERFQHIkSIAATRggozt2Ujas5kne6u0WjQr18/h6JvlUXgBg0aVGO/1157DS+//DI2bNiA/v37uyPUOqvcfs1fo4SPWilzNEREREQNk1kQjMNlvjhbocXZCi0KRS0qLHxv427KMiNgssBsrIChhLMaiC6XkJCAmTNnyh2G08k+3X327NmYMGEC+vfvj2uuuQYpKSkoKyvDxIkTAQDjx49HmzZtsGDBAgDAq6++ihdeeAEff/wxYmJi7GvXAwICEBAQINvrqGSv7M6p7kRERERE1IRlZma67V6xsbH17rN+/Xqo1Q2bvTx9+nRs27YNGRkZ6NatG9LT0x2ef/HFF/HSSy9V6efn54eysrIG3bOuZE/Sx44di7y8PLzwwgvIyclBfHw8NmzYYC8md/LkSSgUlwb8ly5dCpPJhLvvvtvhOvPmzcOLL77oztCrxT3SiYiIyJvkG0IAAKWmAAhQw2iUoLf4QAWTzJERUXNX0w5fdTVp0iTs2LEDe/furfJcUlISEhMTHc4NHz4cAwYMaNQ960L2JB0Apk2bhmnTplX7XGpqqsPx8ePHXR9QI1ROd2dldyIiIiKqJIkaQBIhQoAENQQoAFGQOyyiJi0hIQHx8fFISUmpd9+33noLAJCXl1dtkn7lTO09e/bgwIEDWLZsWYPjrStZ16R7I46kExERETV30mUPAOJl3xORSyQmJtoT65oejbFixQp06dIFQ4YMcVLENfOIkXRvUsDt14iIiIiIiNwqOTkZSUlJLrl2RUUF1q5di6efftol178Sk3Qn40g6EREReSMRl40Fc1CYiDyMTqeDTqdzybW/+uorlJaWYsKECS65/pU43d3JCsps+1pyTToRERF5E4VFhCBenqozU2+ci+vRRQmCKF38Cgj8sRI1iCunu69YsQK33nqrvbi5q3Ek3ckK7dPdG7YVABEREREREdWPq6a7Z2dnY8uWLfj222+dfu2aMEl3ssrp7hxJJyIiarjffvsNixYtQlpaGs6dO4evvvoKd9xxh9xhEblFuQSYJKBCEqAGoJU7IKImoL7T3bOysqDX65GTkwODwWDfJz0uLg4azaVcbtWqVWjVqhXGjBnj7JBrxCTdyVg4joiIqPHKysrQu3dvTJo0CXfddZfc4RDVm3TZtHXbxHbHeewqyXLxOQkqSYQKFggArOBsTPIcsbGxcofgMpMnT8bWrVvtx3369AFgGzmPiYkBAIiiiNWrV+Ohhx6CUql0W2xM0p3IYhVRbLi4Jp1JOhERUYONGTPGraMWRK50eXouSIDCr9h+rFApIIgSRNGWAIgWwGI0QhQsEMtNgNnq5miJmo7U1FSX9lUoFDh16lSD79FQTNKdqNhgtn9q2sKXn4ISERG5i9FohNFotB+XlJTIGA2Re5hOlcJwxdt537iWMkVDRM7CJN2JKovGBfuqoVKycD4REZG7LFiwAC+99JLcYXiFg0pb9eIzvv4QrT4oLr/4hMFYcydyLoUVEKy2r7ACkhkKSxlUhjyYC2wjQpL2DOAbCUQNkDdWInI6ZpJOVLn9GtejExERudfcuXNRXFxsf8gxPdGbhRaVIbSkHEHlFdCaLHKH43UkhWB/WAS+PSdq7jiS7kQF9srunOpORETkTlqtFlota2A3Vt6J07BobEmiqtwCyVgOKNxXLIlsROniOnYRkCQBknjxewtQUqYHACgviND6+iDn6GFEduwiZ7hE5GRM0p2okJXdiYiIyEuEWfIhWVW4AD/4ShWAYIGPZERlrXKSh2gWAQCC0QqrZIHl2AGY9eehDvO1NVBeVmgulsUXiZoiJulOVMA90omIiJxCr9cjKyvLfpydnY309HSEhoaiXbt2MkbWPCkECySlFYIg2sqTExGRyzBJd6LCMo6kExEROcPff/+NYcOG2Y9nz54NAJgwYQJWr14tU1RERESuxyTdiQouTnfnHulERESNk5CQAEniiC0RAFighBn/v707j4+qPBs+/juzZk9YEghrABGBsggIRh9eENBgkUKVikoVRMBYqQqiuLKqoIICSrVPW8AKsvmAtsUdBWURlbKIIEuMgJIAAbJMJrOe+/1jkoEhIWSZZIZwfT+faOace8657slhZq5zbwbfcmvxuQBERdtxmrzYY04DDUManxAiuCRJDyJ/S7p0dxdCCCGEEMGidDTdgOb1gtd78fJCiEuaJOlB5B+TLi3pQgghhKgD4lVD4r0mojQLaDqSHobW0XpJmGNiALBGWIgyRKNHRtAqxHEJESp9+/ala9euzJs3L9ShBJUk6UF02j+7uyzBJoQQQgghhLi0ncxZX2vnSmzYv9LPWbNmDWZz1XKvhx56iM2bN7Nnzx7at2/Pzp07S5X5+OOPmTp1Kj/88AMRERH8v//3/5g7dy4pKSlVOmdFSZIeRGcK3YDM7i6EEEKIS1fEyQIANLsDKw6ilBUMIQ7qMmJWbhLsDjyal4gCD3h1Sr6yu4xGMBT/MRRElfH8/b+eOfdRmedo165dUGMWIlTq169freePHj2abdu2sXv37lL7MjMzGTJkCBMnTmTZsmXk5eUxYcIEbr31Vv773/9W67wXI0l6kDg9XmxODyCzuwshhBBCCCFETatOd/cFCxYAcPLkyTKT9O3bt+P1ennuuecwFN8cmzRpEkOGDMHtdle5Bb8iJEkPkly7rxXdoEFchHR3F0IIIYQQ1afwrXJg0SIBMGvF3zm9Gl48eNwuDh/NhOO+sepHDDk0SPTN9u5y5wPQKCWutsMWotalp6ezdOnScsvYbLYKH6979+4YDAYWL17MqFGjsNlsvP322wwYMKBGE3SQJD1o/JPGRVkwGLQQRyOEEEIIEVwamv+3wP+LGqPkVRaiombMmMGkSZOCdrxWrVrxySefcPvtt3P//ffj9XpJTU3lgw8+CNo5LkSS9CDxL78mXd2FEEIIUUe5DEZKVq83yzj1clSmlU1dvEiQ7d9feqy6jFMXl7qkpCSSkpKCdrzs7GzGjh3LyJEjufPOOykoKGDKlCkMGzaMTz/9FE2ruVtokqQHScnM7rL8mhBCCCGEqCjNE5ikGwxVX+jOm5eH15CHR+kAuPZtwJTUiKL8SH+ZyM6dq3x8IcJZsLu7L1y4kPj4eF566SX/tqVLl9K8eXO2bdvGtddeW+VYL0aS9CDxt6TLzO5CCCGEuMS5bR5MHi8uM7gBTddqtNVIVI5SCqXApjs5o9v5BQUeFzqFoQ5NiJAJdnd3u93unzCuhNFoBEDX9aCdpyySpAfJ6ZLl16QlXQghhBBCVJGiMh3gPYAbHQfoLnSDE7M3EZy+lnODkq/64vJR2e7uhw4dwmazkZ2dTVFRkX+d9A4dOmCxWBg0aBCvvvoqM2bM8Hd3f+qpp2jZsiVXX311DdXCR/7lBskZe8mYdJnZXQghhBBCCHHpS2zYP9Qh1JgxY8awceNG/+OSxDszM5OUlBT69evHO++8w0svvcRLL71EVFQUqampfPTRR0RGRl7osEEhSXqQnDu7uxBCCCGEEEKImrVhw4Yafe4dd9zBHXfcUeVzVJUk6UFytiVdknQhhBBCXNqMDjcaOprJtwSYDEcPU0oH3YvudoN+4U7ynpwi/++uowX+3y3NY2s0PCFE1UiSHiT+lnRJ0oUQQggRBhoe+7xC5U4fO/vdxXbaBG4LSnlAq9mJkcSFHbXHoqPjdkVA8QRVWvFIdQMKhcKLwgzogEf3oorvpOheNw6PAZslArN+Gnd+NoUaNDL6vvZrp9yoBl1CUS0hRAVJkh4kMru7EOFJKYXH48HrrfqSNkJUl9FoxGQyyezY4tKkg9J8Leq1v6K3EEJcfiRJD5LT0t1diLDjcrnIysrCbreHOhQhiIqKIjk5GYtFPieEEEIIcWGSpAdBkcuLw+3riiTd3YUID7quk5mZidFopEmTJlgsFmnFFCGhlMLlcnHy5EkyMzNp27ZtqXVXhRCiLOaoPJTy9V+ozCfYTncMDmXBpBSOQhsmTaOvdgoAz5kICo/uID6+Ht4zZ/tGFPx6rNRxYvvdEPB4//79AY/btWtXiaiEEBUlSXoQlLSiW4wGoi3GEEcjhABfK7qu6zRv3pyoqKhQhyMuc5GRkZjNZg4fPozL5SIiIiLUIQkhQkTXyh80oFHNuQCMdjBGogw6Om6U5gBqdrkoIURwSZIeBGf8k8aZpaVOiDAjLZYiXMi1KMLRf4sO4nXV9z92e84AchPpUlQyz5+mAN03I7+mirfL248QlxRJ0oNA1kgXQgghRF3j1hKwEgnKUjyzuDRE1IaS7u0VolvAG4HuMlPyNLdmRDfo6JoXTekX/LOdPJON0Xn2XG0aNKxG1EKIYJIkPQhkjXQhhBBC1AWH3AnkKAu6sqIrC5GeCFmKLYy5Nciwx/NTsuafed+EhsXoJflMBQ8S8xMAZ/D4N9Wja1DjFEJUjnR+CQJZI10IIeDnn39G0zR27tzp37Z582Y6deqE2Wxm6NCh/u3PPvss48aNK/d4GzZsQNM0cnNzaybgakhJSWHevHmAb/6DlJQUvvvuu9AGJYS4LKniUeyq+Mera7iUAYfXgMtrwOHRsHsUOe6yb7acdOqcdOrsyT37s+GEp8yyQoSbvn378sgjj4Q6jKCTlvQgOC1rpAsh6hBN01i7dm1AUl1VEydOpGvXrnz44YfExMQAkJ2dzfz58/n+++/95fr27UvXrl39iW8wBbM+Jb799luio6MBsFgsTJo0icmTJ7N+/fqgnUMIIapCN+h4NS82zU2k5gZDFFYisaKDMqCKojhkPIbB68HgAacpH4B6IY5bhKdPcvJq7Vw3NYyv9HPWrFmD2Wyu0vkeeughNm/ezJ49e2jfvn1AI0OJVatW8cILL3DgwAESExMZP348jz32WJXOVxmSpAeBtKQLIUTZMjIySE9Pp1mzZv5tf//737nuuuto2bJlCCOrnsTExIDHI0aM4NFHH+WHH36gY8eOIYpKiOr5Mao+OeZc7B4DullhVtLhMrz4OrRfaMi6fs7gc70CExk7HQ50jxeMvu+xp345BEBUdAyu/BgO2438hsAl2LIOyRJsIrzUr1//4oXKMXr0aLZt28bu3btL7fvwww8ZMWIEr732GjfddBP79u1j7NixREZGMn78+Gqd92Lk3TcI/GPSo6p2F0cIUfOUUthdnpD8VGYSIF3XmTVrFq1atSIyMpIuXbrw7rvv+uswYMAA0tLS/Mc8ffo0zZo1Y8qUKQB4vV7uu+8+//PbtWvH/PnzS51n0aJFdOzYEavVSnJysv/DJiUlBYDf//73aJrmf1yWb775hquvvpqIiAh69OjBjh07/PtKur6fOnWK0aNHo2kaS5YsAWDFihUMHjzYX3bUqFFs3LiR+fPno2kamqbx888/+/dv376dHj16EBUVxXXXXVdqnd7333+fbt26ERERQevWrZk+fToej6fc+mRkZDBkyBAaNWpETEwM11xzDZ999lk5f5lA53Z3B6hXrx7XX389K1asqPAxhLiUGGPyMcbkY44++yOEEKFWne7uCxYs4MEHH6R169Zl7n/77bcZOnQo6enptG7dmkGDBvHkk0/y4osvVm6CxyqQlvQgkJZ0IcJfkdtLhykfh+Tce2ekEWWp2NvtrFmzWLp0KW+++SZt27blyy+/5I9//COJiYn06dOHt956i06dOrFgwQIefvhh0tPTadq0qT9J13WdZs2asXr1aho0aMCWLVsYN24cycnJ3H777QC88cYbTJw4kdmzZ3PzzTeTl5fH5s2bAV837qSkJBYvXszAgQMxGo1lxmmz2bjlllu48cYbWbp0KZmZmTz88MP+/c2bNycrK4t27doxY8YMhg8fTnx8PKdPn2bv3r306NHDX3b+/PkcOHCA3/zmN8yYMQPwtVSXJOpPP/00c+fOJTExkfT0dEaPHu2P96uvvuKee+5hwYIF9O7dm4yMDP9Y96lTp16wPjabjd/+9rc8//zzWK1W/vnPfzJ48GD2799PixYtKvS3Ol/Pnj356quvqvRcIYSoMboCpaN73SiPjm4zQUzpYq7i9dkNHhd2twOIrt04haim9PR0li5dWm4Zm81W4eM5nU6ioqICtkVGRvLLL79w+PDhchsyqkuS9CA4U+gGZHZ3IUT1OJ1OXnjhBT777DNSU1MBaN26NZs2beKvf/0rffr0oWnTpvz1r3/lnnvuITs7mw8++IAdO3ZgMvnezs1mM9OnT/cfs1WrVmzdupVVq1b5k/TnnnuORx99NCCpvuaaa4Cz3bgTEhJo3LjxBWN955130HWdf/zjH0RERNCxY0d++eUXHnjgAQCMRiONGzdG0zTi4+P9x9q/fz9KKZo0aeI/Vnx8PBaLhaioqDLP+fzzz9OnTx8AnnjiCQYNGoTD4SAiIoLp06fzxBNPMHLkSP/rNXPmTB5//HGmTp16wfp06dKFLl26+B/PnDmTtWvX8q9//avKXdiaNGnC4cOHq/RcIYSoLM3ra8nTylgdz6jrRBZ/Py0ujDI68Ro9KLPCbckDImotViFqw4wZM5g0aVLQjpeWlsaECRMYNWoUN9xwA4cOHWLu3LkAZGVlSZIe7k7bZZ10IcJdpNnI3hlpITt3RRw6dAi73c6NN94YsN3lcnH11Vf7H//hD39g7dq1zJ49mzfeeIO2bdsGlF+4cCGLFi3iyJEjFBUV4XK56Nq1KwAnTpzg2LFj9O/fv1p12rdvH507dyYi4uyXvJIbC+UpKioCCHjexXTu3Nn/e3JyMuCrR4sWLdi1axebN2/m+eef95fxer04HA7sdnupO+AlbDYb06ZNY926dWRlZeHxeCgqKuLIkSMVjut8kZGR2O32Kj9fCCFqklPFY9B1NKcFXTOhXDqaqeKtikKEu6SkJJKSkoJ2vLFjx5KRkcEtt9yC2+0mLi6Ohx9+mGnTpmEw1OyocUnSq0kpxZni7u4NYiRJFyJcaZpW4S7noVLSBWvdunU0bdo0YJ/VavX/brfb2b59O0ajkYMHDwaUW7FiBZMmTWLu3LmkpqYSGxvLyy+/zLZt2wBfIhlKDRs2BODMmTOlJl+7kHNnbdWKJ0PSdV+3TJvNxvTp07n11ltLPa+8GwGTJk3i008/Zc6cOVxxxRVERkYybNgwXC5XhetyvtOnT1e4TkIIUZOUgqOxZyfUshpMKLOiZ052meUPxrbBqnzvmRazBScNSMVRK7EKESzB7u6uaRovvvgiL7zwAtnZ2SQmJvpXcbnQOPZgCe9vrJeAAqcHj+7rbiQt6UKI6ujQoQNWq5UjR474u3eX5dFHH8VgMPDhhx/y29/+lkGDBtGvXz/Aty75ddddx5/+9Cd/+YyMDP/vsbGxpKSksH79em644YZSxwZfUuz1esuNtX379rz99tv+bucAX3/99UXr2KZNG+Li4ti7dy9XXnmlf7vFYrnoOcvSrVs39u/fzxVXXHHBMmXVZ/PmzYwaNYrf//73gO9D+9zJ6qpiz549AT0ehBDiUmWNzsZpPMnJnLPLSiY2rF4PLCFqWrC7u5cwGo3+xpPly5eTmppa4zflJUmvppJW9CiLkYgKdmkVQoiyxMbGMmnSJCZMmICu6/zP//yPf1K3uLg4Ro4cybp161i0aBFbt26lW7duPPbYY4wcOZLdu3dTr1492rZtyz//+U8+/vhjWrVqxdtvv823335Lq1at/OeZNm0a6enpJCUlcfPNN1NQUMDmzZv585//DOBP4q+//nqsViv16pVePfeuu+7i6aefZuzYsTz55JP8/PPPzJkz56J1NBgMDBgwgE2bNgWsW56SksK2bdv4+eefiYmJqfCSKlOmTOGWW26hRYsWDBs2DIPBwK5du9izZw/PPffcBevTtm1b1qxZw+DBg9E0jWeffdbfOl9VX331FTNnzqzWMYQIhRZF+wAw6LHsdUVwkliU8uKSicMua6ecLoy//Op/fPrU/nJKCxF6le3ufujQIWw2G9nZ2RQVFfnXSe/QoQMWi4WcnBzeffdd+vbti8PhYPHixaxevZqNGzfWUA3OkiS9mvwzu0sruhAiCGbOnEliYiKzZs3ip59+IiEhgW7duvHUU09x8uRJ7rvvPqZNm0a3bt0AmD59Op988gnp6emsXLmS+++/nx07djB8+HA0TePOO+/kT3/6Ex9++KH/HCNHjsThcPDqq68yadIkGjZsyLBhw/z7586dy8SJE/nb3/5G06ZNy2xhjomJ4d///jfp6elcffXVdOjQgRdffJHbbrvtonUcM2YMY8eO5aWXXvKP6Zo0aRIjR46kQ4cOFBUVkZmZWaHXKy0tjf/85z/MmDGDF198EbPZzFVXXcWYMWPKrc8rr7zC6NGjue6662jYsCGTJ08mP7/qS0pt3bqVvLy8gNdRiHBmOenrAZPoakBMUXEjg7UghBGJ4DIBZ7+bepUJcJYqpTsiMUVZ0LwmIpRvWJWpeBUMozt4SwsX7T1ValtkhwZBO76oOTc1jA91CDVmzJgxAQl3SW+4zMxM/6Rwb731FpMmTUIpRWpqKhs2bKBnz541HpumanqRtzCTn59PfHw8eXl5xMXFVft4n/94nNFLvqNT03j+/ef/CUKEQohgcDgcZGZm0qpVq0pNUiZqnlKKXr16MWHCBO68885QhxMUw4cPp0uXLjz11FMXLFPeNRnszyYRnq/pZ3uP1+r5Gh77/IL7SpL0DNcx6h/PBeDHhAL2ZhW3pLt9Lekxhlg8mo4pNg/QcNfsXEmiHBqq7MdKAw3086Z49xSeve5NmonWFic9c7LRoi0cjChE5esogxdT/WMciGtFnPL1nDBZfEl6b+cxjC3Pjrs1qO6c/vUnABIa+eY36TvodxWKXZL08CbfmYInWJ/10pJeTaeLl7eQNdKFEKJiNE3jf//3f/n+++9DHUpQuFwuOnXqxIQJE0IdihCiDlPnJeHaRZrZTNFneweZNCOGqHwM2hGIMBFjdoBFoTSdInX2uG4MeIrPk4uGpNFChIYk6dVUMia9flTwugQJIURd17VrV/+ycOHmq6++4uabb77g/vNnhrVYLDzzzDM1HZYQtcJgcKCpSDB40XQFmkK7WDYohBAiqCRJryb/GunSki6EEHVCjx49/JPHCHG5MekGNDTA93/f7yU/4nKmH9yHyjsBgMtuxdKqZYgjEqLukiS9ms62pEuSLoQQdUFkZGS5S7oJIcSlxouOW9P5Or4ZXouBQqMXTAo0cClAKXSl0DVA1zlWEI3FnYD16DnLV55xkeIqBEA3OtFOnWb//rMzvrdr1652KyVEHSZJejX5Z3eXlnQhhBBCXKJOu82cthspdBvwGDR0JTPEiZp17hrsJWQtdiF8JEmvpjPF3d3rS5IuhBBCCCFqia6dHYJQE4MRlA7uvFz/Y09BBOBB9zhxefJRllzy9h327z/yaxz16Op/HNvvhhqISojLgyTp1STrpAshhBDiUqc74jHqZnA68UZEgcwVd0kJpz9XxqkcACKLu8JLN3ghKk+S9Go6Y/ctwSYt6UIIIYQIhfLWQxfCTymUBgaXTiwaevFwc6vJAJqGUXlwa8aAp5j1s6mCkWggt8Kn+z7Ht8xmVlQWUb68nU4NO1WnBkJcNiRJrwavrsj1z+4uS7AJIYQQQojwpZ+zJroOaJVsgz/jBt0LJoOZIoeV3DPxAPSolxfMMIW47MmsINWQX+RGL35vk+7uQohg6Nu3L4888kiFy2/YsAFN08jNza3WeVNSUpg3b161jnExla2bEEKIWqC0c/rLe/HqbnTlQVcudGVH93h8P17feHSv143H7cHlclFoK6TQVkhubi4nj2dz+OcMThzPDjy8bSc4MsGRSV7BLvIKdtV2DUUdVle/W0hLejWUrJEeG2HCbJT7HUIIIYQQIgwphVeVbjW/2IRzDs0Ixd9xdaMBm8GIrikMRiu5xigKrA1p7cwJeE5e3hkACj2+ozeoX/q4Owrs2CIK/Y+vjouuRGVEbfps7/FaO9eADo0q/Zw1a9ZgNle+R/OuXbuYPXs2mzZtIicnh5SUFNLT03n44YcDym3YsIGJEyfyww8/0Lx5c5555hlGjRpV6fNVliTp1eBfI13GowshhBBCiEvQsYJYAIxoeDQDaDoEDk3HojvQdQsnDRZ+TWiCpum4rWYMdo0srTkFOUaiTEaMbg27J56ooiiSKApBbcTlpn79Mu4CVcD27dtJSkpi6dKlNG/enC1btjBu3DiMRiPjx48HIDMzk0GDBpGens6yZctYv349Y8aMITk5mbS0tGBWo5SwaP5duHAhKSkpRERE0KtXL7755ptyy69evZqrrrqKiIgIOnXqxAcffFBLkQY6JTO7C3HJcblcF/zxeDwVLut2uytUtrrefvttevToQWxsLI0bN+auu+7ixIkTpcpt3ryZzp07ExERwbXXXsuePXsC9m/atInevXsTGRlJ8+bNeeihhygsLCx1nLJ88sknRERElOpS//DDD9OvXz8ATp06xZ133knTpk2JioqiU6dOLF++vNzjaprGe++9F7AtISGBJUuW+B8fPXqU22+/nYSEBOrXr8+QIUP4+eefKxS3EKJykj3x1CeBaGOs/0fUdRoavhZ1HYVCR8eLjhcXLlzKhRsnTs2NS/OUeQS7ZieHQrKVjWzOcJqKfbYIEQxV7e4+evRo5s+fT58+fWjdujV//OMfuffee1mzZo2/zJtvvkmrVq2YO3cu7du3Z/z48QwbNoxXX301iDUoW8hb0leuXMnEiRN588036dWrF/PmzSMtLY39+/eTlJRUqvyWLVu48847mTVrFrfccgvvvPMOQ4cO5b///S+/+c1vajV2aUkX4tIza9asC+5r27Ytd911l//xnDlzSiXjJVq2bBnQ3Wn+/PnY7fZS5aZOnVr1YAG3283MmTNp164dJ06cYOLEiYwaNarUzcnHHnuM+fPn07hxY5566ikGDx7MgQMHMJvNZGRkMHDgQJ577jkWLVrEyZMnGT9+POPHj2fx4sUXjaF///4kJCTwf//3f9x3330AeL1eVq5cyfPPPw+Aw+Gge/fuTJ48mbi4ONatW8fdd99NmzZt6NmzZ5XrnpaWRmpqKl999RUmk4nnnnuOgQMHsnv3biwWee8V4as2u4hWlyW/CKPLg8FkABRaTOAkYMawWuBLhLuI6DNgVUQVHALAkFGE1+Zr7SyIzgXAy0kgMkQRiroqPT2dpUuXllvGZrNdcF9eXl5Ay/zWrVsZMGBAQJm0tLRaGQMf8iT9lVdeYezYsdx7772A747FunXrWLRoEU888USp8vPnz2fgwIE89thjAMycOZNPP/2U119/nTfffLNWYy8Zky4t6UKImjJ69Gj/761bt2bBggVcc8012Gw2YmJi/PumTp3KjTfeCMBbb71Fs2bNWLt2LbfffjuzZs1ixIgR/g+Vtm3bsmDBAvr06cMbb7xBREREuTEYjUbuuOMO3nnnHX+Svn79enJzc7ntttsAaNq0KZMmTfI/589//jMff/wxq1atqnKSvnLlSnRd5+9//zua5hvbuHjxYhISEtiwYQM33XRTlY4rhBAiOJQngiicmAutGA0G0MEY5UDzFIC17OcYzxwjiiIshnNa5vMjoFn32gla1FkzZswI+C5SGVu2bGHlypWsW7fOvy07O5tGjQLHyTdq1Ij8/HyKioqIjKy5G00hTdJdLhfbt2/nySef9G8zGAwMGDCArVu3lvmcrVu3MnHixIBtaWlppbpMlnA6nTidTv/j/Pz86gde7GxLuiy/JsSl4tz3m/MZDIEjgMp7oy9JGkucP9FIsGzfvp1p06axa9cuzpw5g67rABw5coQOHTr4y6Wmpvp/r1+/Pu3atWPfvn2Ab3KU3bt3s2zZMn8ZpRS6rpOZmUn79u0vGseIESO49tprOXbsGE2aNGHZsmUMGjSIhIQEwNey/sILL7Bq1Sp+/fVXXC4XTqeTqKioKtd9165dHDp0iNjYwC63DoeDjIyMKh9XiMvZNyd9X/2S8nyDjrM80ZhV+TfqRN3wiz0+cIMqf9yrVzeA5usKr+mg9NJllNuJrnlxuBQGTUdTLog2UIjGaYMVm0ujwGamQYHvpvKmH6w01hIoIBpv3tkkvXkjG0ovoOjEKf+2yA4NqlFbcTlKSkoqsyf2xezZs4chQ4YwderUsGkACGmSnpOTg9frLfMOxY8//ljmcy50RyM7O7vM8rNmzWL69OnBCfg8VzaKZWDHxvymafzFCwshwkJlukjXVNmKKiwsJC0tjbS0NJYtW0ZiYiJHjhwhLS2tUuPdbTYb999/Pw899FCpfS1atKjQMa655hratGnDihUreOCBB1i7dm3A2PGXX36Z+fPnM2/ePDp16kR0dDSPPPJIuXFqmoY6b7bhc4cX2Gw2unfvHnBzoURiYmKF4hZCXJwbhY5CB4oMbsrIxcQlLugDFtTZHx1QCt/s8Qp0pXC63Tgcbry6kaJ8Fza3r8GswGPDZHBiMFr41XESAIvJzA+uk6hCC70jegc7UnEZqUp3971799K/f3/GjRvHM888E7CvcePGHD8eOHTp+PHjxMXF1WgrOoRBd/ea9uSTTwa0vOfn59O8efOgHPsPPZrzhx7BOZYQQpzvxx9/5NSpU8yePdv/vvXdd9+VWfbrr7/2J9xnzpzhwIED/hbybt26sXfvXq644opqxTNixAiWLVtGs2bNMBgMDBo0yL9v8+bNDBkyhD/+8Y8A6LrOgQMHAlr7z5eYmEhWVpb/8cGDBwPG9Xfr1o2VK1eSlJREXFxctWIXQoCLH8k35AIQEVG85JXtytAFJEKuMsm7JeEUUZg4E+UFTWE1enAXxuHChkIVT0EnROhUtrv7Dz/8QL9+/Rg5cqR/jp1zpaamlpoD6NNPPw3ovVhTQpqkN2zYEKPRWOYdisaNG5f5nAvd0bhQeavVitV6gUExQggRxlq0aIHFYuG1114jPT2dPXv2MHPmzDLLzpgxgwYNGtCoUSOefvppGjZsyNChQwGYPHky1157LePHj2fMmDFER0ezd+9e/3weFTVixAimTZvG888/z7BhwwLeW9u2bcu7777Lli1bqFevHq+88grHjx8vN0nv168fr7/+OqmpqXi9XiZPnhyw1umIESN4+eWXGTJkCDNmzKBZs2YcPnyYNWvW8Pjjj9OsWbMKxy6E8Ik4WQCARdcwmJ1QkI3RYgcV7Zs4zhviAEXt0fA1gZfaWE1KgfKC7gFdB68LlAe0s2mHwokqXqLNq7txe09iolX1z10FRXtPXXCfdLm/tFSmu/uePXvo168faWlpTJw40d8r22g0+nvrpaen8/rrr/P4448zevRoPv/8c1atWhUwbr2mhDRJt1gsdO/enfXr1/u/TOq6zvr16/3r050vNTWV9evXB8yqV1t3NIQQojYlJiayZMkSnnrqKRYsWEC3bt2YM2cOv/vd70qVnT17Ng8//DAHDx6ka9eu/Pvf//Z3we/cuTMbN27k6aefpnfv3iilaNOmDcOHD69UPFdccQU9e/bkm2++Yd68eQH7nnnmGX766SfS0tKIiopi3LhxDB06lLy8vLIPBsydO5d7772X3r1706RJE+bPn8/27dv9+6Oiovjyyy+ZPHkyt956KwUFBTRt2pT+/ftLy7oQlfQ1MRTYmnI40jfHQ76tHgavm8ZOIwm6EV1F49QtQEFoAxV1xibtajwGDYvyYFWRgAGD1cQpLQrNaOKU0ZeGGA1G4Odqn+9CKyoM6NCozO2iYurq6/fuu+9y8uRJli5dGtBFvmXLlv6lXlu1asW6deuYMGEC8+fPp1mzZvz973+v8TXSATR1/oDAWrZy5UpGjhzJX//6V3r27Mm8efNYtWoVP/74I40aNeKee+6hadOm/mWTtmzZQp8+fZg9ezaDBg1ixYoVvPDCCxVegi0/P5/4+Hjy8vLkS54QdZjD4SAzM5NWrVpddPZyIWpDedekfDYFX6hf09pcgq3hsc8vWsaXpGdxpHiISUFRI9wmiMuPI9Gbg+b2Je8OdwE55Uz54C5vpjFxyVNoKM2L22ikadGJ4onjjJh0F2a3BxMmfo5KAk2hG424C+tToNlILjjh6+6ujETXyyJSmTgY1RKP0rAoF1YiAA3NaCLG7PEl6aZcwJekD4jfhjO+M03ifSuaDLBGlmrF/iQn8KZvm8OB81et8QReuFfH+oZ0XCzJlJZ0+c4UTMH6rA/5mPThw4dz8uRJpkyZQnZ2Nl27duWjjz7yTw535MiRgBmXr7vuOt555x2eeeYZnnrqKdq2bct7771X62ukCyGEEEJcaiKL7OiA3eMCXSM+N5doVYRXL578UvcCRn95ScovLxoKTelYPTpRLmep/R486JoOKPDq4PUQSwT1nb6E2GMxE6F8v5swYACMmhlv8XSEGgqH8qLOmyrebTfh1ex8f+oTAAqNZhrH+uZi6du8b0DZmAzfSk2GE2ePscu8l6Mm33nNp3y9QU416OzbWc2W4A1HN5Tadn5MQgRbyJN0gPHjx1+we/uGDRtKbfvDH/7AH/7whxqOSgghhBCi7jFg8E/yZY3PQVN2DMqXkJmUE6ib3VtFRZWkB+cvMew+53ftnP+WbNHQ1DnD3JXm+0Ghldz40Q3oXgMG3YimK5S1qEIRZe7OwZZf6IvuePEEo+csqmK3Z+K0+sYi67lnAMjP9x37yOdbiOzsS9gTG/Yv9zxFu78PeOzJVtBWJsQTtS8sknQhhBBCCCFE3efVNZRBw61r6F4Ng67YHXEFBmMShfiWNbYbjPxaaKJ7tKfMYxw/XYQyFvofH1E6lD2HtBCXJEnShRBCCCHquLyTOVg8PxGpCkEzYMKNAYjWCy/6XCHKo875/0UnulIKNFC6Ak1H6V4wlp2OnM76lSxyyTgRSd7OPRh039iLKEMj6hW6iNJOYo89OyO8w+brBo/bBUChp2Q97Jpdz1qImiBJuhCiTgvx3JhC+Mm1KKqrIhPEVYfToONGxqGLqjO5vZjcvrHiZo8XHQ00hVby/qeB5tUBLyaXG5MDNM2DVS9CKzyF1+Yr50iIQ8txUuR1YkjSyTmShb2417nNqOPWFZr7NLl5vi74EZ4C2hgLOda0Qbk3CsqafM515OyKBs6sw7RIbhOU1+JSVJc+p/SisnthABgiay4FDtZrKEm6EKJOKllv2263Exkpd9FF6NntvnGU564FL0RNyzrla020OQ0Ume0YjB40NDx4MZwzQZwQVWGK9rVeWznF2RHqJQl5+cmKRbOCZkQBVj0aXTMQG5Xr22nIw2RSmE54WGl5k4ZEUVA8Rt6ix+LUFRSdJtfpu77dqhC31YpynDPZnct3s+DALy5MrqNcVa8FnJN/23d/T9HPP+LJK3vMeZ5lJ0YUefln71rFx3W56GtSEfv37y+1rV27dkE5dlXId6bgcbl8PTmMxuq9v0qSLoSok4xGIwkJCZw4cQLwrbmtaTL5i6h9SinsdjsnTpwgISGh2h/cIrzU5lJrNeGnGN9AXoUVl0HhVd4QRyTCxZHoik8g+HN06QHhutIo/albRuKufB3lPepsaY/XiEHBSbeZw/Y4rG7lb0n/rkEcGDSsFi/5Bt/scQWYSMrPwuXVsRjPJtUH45PI1zwY7Brb83P4/pRvYjhrw0aY8t2cjIzHqzQO2gy0K7JzxKljxZfoOw316ehyENUocHK7HZkePAWl/93X5nri5/cIALipYXyVj1cXvzPpznJa0rWaSYF1XefkyZNERUVhMlXvHJKkCyHqrMaNfV8aSj50hAilhIQE/zUphBCXJVVWmh68ZNCojKD7jqd7DCjdgO4yopQXr9LxaG5M0VXrzZR73I7jdD65J+C4LR/LmV0A1EuKKj55cT3a3Vztevjt/7Ds7Q2uC945itXWdyblLvtGoGYO7g3sC52nJs51LoPBQIsWLap9k0OSdCFEnaVpGsnJySQlJeF2uy/+BCFqiNlslhZ0IYQQYau2vjM5Dp0pc3tEq3q1cp6aONe5LBYLBkP1J/aQJF0IUecZjUZJkIQQlxUXPwKgWXxddU3Ug/N6fzoM587H7anA1NxCVI+i7HZzpXN2cjkgwu7CoisaHynCq2dh9cRiUAZc1gg8sU7QwG0y4sGXDEVq9UnCg9UZh8HgO4PNCA6DidNGM+hgVSbq2bZhPXEG9Yuvm3ymwYwrtyG/Ug+cheDROZG3BwCnlguO4zRzRgBg8JzAqX6iSG/JzqxvMek2oi0aRQ4DyuZGFfjib22rT5vuvS74Guzfv59fvvjC/zjLkYV27ZV8suMT/7ZeBZ0A6OQ0cprdAFgS9XOOcrYl3V68tnvBOevYx/a74YLnv5ia/s6kDJYyt0dERNTKeWriXDVBknQhhBBChKWFCxfy8ssvk52dTZcuXXjttdfo2bNnSGK5FMeem/LMmBy+L+5mayFm5UI3FifmMoO7qGGGinRsV75U5Bd7YmA5pTArMOAhFyOaCTwYaU5u8YR0CtCxFI8fR0GstxDN60VTvgTzkDOBApuiyO5LbqO8TpwmMymaC3dxIJpRA68DhR3dnY9JeTEqXwtspCokx20iXzditlowaI3xeMyoCDtZhiRMhhjMXjdOtwHNoNhmKwKjmR+OZFHP/S0Ah/fm+OsUleQg7sxPNDfk4j2ehc2ViCKaAuVG//YoTqODhGgzuHPBacBT6OCAJQpn/R9R3gRcp8/OQr/l6H9plRgDgOt4FomNkv37HKdWon+7LeD1LJnwznnUd4zPiPbv0xv49p3MLns5xhYtE/y/7zyaC0DX5gkBZc4dj5+xPfDcJcq8cfHr9rO/G8/pnl7ekIELDQEI5jCDMCBJuhBCCCHCzsqVK5k4cSJvvvkmvXr1Yt68eaSlpbF//36SkpJCHZ4QorbogKZddOi6ApTSfOXDhOuMy/+7yezCU+jBY/CgXMGfoPHoMd9NEasLTMftAfvi44J+ujJl7s7heGZ+mfvadK+dGKoqc3fOBfe16tywFiPxkfuoQgghhAg7r7zyCmPHjuXee++lQ4cOvPnmm0RFRbFo0aJQhyaEEELUqMuuJb1kgfn8/LLv8gghhBC1reQzSSkZFAy+dWa3b9/Ok08+6d9mMBgYMGAAW7duLfM5TqcTp/PsGsl5eb4lioL1eV9oK7h4oRoWUWi/eKFiLpyY7F4Ki9eNdngNOD0u9CLfNeZyOXAFTG4kS6+J8KEphVLgcHlwepxomoZXM+AwuHA6igCFwhnwnCKnE4fDgKb5rmuX24HbVIQyFF/zXi9ukwOn5sTt8W3zGsHpcODGgtPpwKu8uDTfcZVygaaDEXSlMGhOPB4dpXTcBgcKJ0q5cZsMaG6Fw+IEgxcTdooKfeu3Ox1n/80aihwUFTmwG5wopws7ThRGipQTvciBw+ikyOAFtxObswivw4nSNZxFLvA6cXG2Vd5JIUXFvdNddjv2wkJsRb79LpcLkz3wtcm3+eJwFr+H2M/plqBbfe9tRfay318KbWfHpzuK63XuNoD8fN/a6gW2AgrtZXebL3kvLjr3vbTwbFm3TT+3cJnHAMB2gffB855TVM57tju/9Az/BeWUz8+/8Pj2yqjMZ/1ll6QXFPj+AM2bNw9xJEIIIUSggoIC4uOrvtZtXZGTk4PX66VRo8B1hxs1asSPP/5Y5nNmzZrF9OnTS22Xz3shRN2zJNQBiGqoyGf9ZZekN2nShKNHjxIbG1vt9evy8/Np3rw5R48eJS6ulgZ7XMbk9a498lrXLnm9a0+4vtZKKQoKCmjSpEmoQ7lkPfnkk0ycONH/WNd1Tp8+TYMGDar9eV+bwvUaDaa6Xse6Xj+o+3Ws6/WDul/HcKxfZT7rL7sk3WAw0KxZs6AeMy4uLmz++JcDeb1rj7zWtUte79oTjq+1tKCf1bBhQ4xGI8ePB86ofvz4cRo3blzmc6xWK1arNWBbQkJCTYVY48LxGg22ul7Hul4/qPt1rOv1g7pfx3CrX0U/62XiOCGEEEKEFYvFQvfu3Vm/fr1/m67rrF+/ntTU1BBGJoQQQtS8y64lXQghhBDhb+LEiYwcOZIePXrQs2dP5s2bR2FhIffee2+oQxNCCCFqlCTp1WC1Wpk6dWqp7nWiZsjrXXvkta5d8nrXHnmtLx3Dhw/n5MmTTJkyhezsbLp27cpHH31UajK5uuZyuEbreh3rev2g7texrtcP6n4dL/X6aUrWexFCCCGEEEIIIcKCjEkXQgghhBBCCCHChCTpQgghhBBCCCFEmJAkXQghhBBCCCGECBOSpAshhBBCCCGEEGFCkvRqWLhwISkpKURERNCrVy+++eabUIdUJ02bNg1N0wJ+rrrqqlCHVSd8+eWXDB48mCZNmqBpGu+9917AfqUUU6ZMITk5mcjISAYMGMDBgwdDE2wdcLHXe9SoUaWu9YEDB4Ym2EvcrFmzuOaaa4iNjSUpKYmhQ4eyf//+gDIOh4MHH3yQBg0aEBMTw2233cbx48dDFLG4XFzsfaAsGzZsoFu3blitVq644gqWLFlS43FWVWXrt2bNGm688UYSExOJi4sjNTWVjz/+uHaCraKq/A1LbN68GZPJRNeuXWssvuqqSv2cTidPP/00LVu2xGq1kpKSwqJFi2o+2CqqSh2XLVtGly5diIqKIjk5mdGjR3Pq1KmaD7YKKvIZWJbVq1dz1VVXERERQadOnfjggw9qIdrKq0r9/va3v9G7d2/q1atHvXr1GDBgQFjnbpKkV9HKlSuZOHEiU6dO5b///S9dunQhLS2NEydOhDq0Oqljx45kZWX5fzZt2hTqkOqEwsJCunTpwsKFC8vc/9JLL7FgwQLefPNNtm3bRnR0NGlpaTgcjlqOtG642OsNMHDgwIBrffny5bUYYd2xceNGHnzwQb7++ms+/fRT3G43N910E4WFhf4yEyZM4N///jerV69m48aNHDt2jFtvvTWEUYvLQUXeB86VmZnJoEGDuOGGG9i5cyePPPIIY8aMCdtEtrL1+/LLL7nxxhv54IMP2L59OzfccAODBw9mx44dNRxp1VW2jiVyc3O555576N+/fw1FFhxVqd/tt9/O+vXr+cc//sH+/ftZvnw57dq1q8Eoq6eyddy8eTP33HMP9913Hz/88AOrV6/mm2++YezYsTUcadVU5DPwfFu2bOHOO+/kvvvuY8eOHQwdOpShQ4eyZ8+eWoy8YqpSvw0bNnDnnXfyxRdfsHXrVpo3b85NN93Er7/+WouRV4ISVdKzZ0/14IMP+h97vV7VpEkTNWvWrBBGVTdNnTpVdenSJdRh1HmAWrt2rf+xruuqcePG6uWXX/Zvy83NVVarVS1fvjwEEdYt57/eSik1cuRINWTIkJDEU9edOHFCAWrjxo1KKd+1bDab1erVq/1l9u3bpwC1devWUIUpLjNlvQ+c7/HHH1cdO3YM2DZ8+HCVlpZWg5EFR0XqV5YOHTqo6dOnBz+gGlCZOg4fPlw988wzl9T3morU78MPP1Tx8fHq1KlTtRNUkFWkji+//LJq3bp1wLYFCxaopk2b1mBkwXP+Z2BZbr/9djVo0KCAbb169VL3339/TYdXbRWp3/k8Ho+KjY1Vb731Vg1GVnXSkl4FLpeL7du3M2DAAP82g8HAgAED2Lp1awgjq7sOHjxIkyZNaN26NSNGjODIkSOhDqnOy8zMJDs7O+A6j4+Pp1evXnKd16ANGzaQlJREu3bteOCBB8K2K92lJi8vD4D69esDsH37dtxud8D1fdVVV9GiRQu5vkVY2bp1a8B1CpCWllZnr1Nd1ykoKPD/W60rFi9ezE8//cTUqVNDHUrQ/etf/6JHjx689NJLNG3alCuvvJJJkyZRVFQU6tCCJjU1laNHj/LBBx+glOL48eO8++67/Pa3vw11aBVy/mdgWS7l95qK1O98drsdt9sdtu81plAHcCnKycnB6/XSqFGjgO2NGjXixx9/DFFUdVevXr1YsmQJ7dq1Iysri+nTp9O7d2/27NlDbGxsqMOrs7KzswHKvM5L9ongGjhwILfeeiutWrUiIyODp556iptvvpmtW7diNBpDHd4lS9d1HnnkEa6//np+85vfAL7r22KxkJCQEFBWrm8RbrKzs8t8H87Pz6eoqIjIyMgQRVYz5syZg81m4/bbbw91KEFz8OBBnnjiCb766itMprr31funn35i06ZNREREsHbtWnJycvjTn/7EqVOnWLx4cajDC4rrr7+eZcuWMXz4cBwOBx6Ph8GDB1d6yEMolPUZWJYLvdeE+2diRet3vsmTJ9OkSZNSNybCRd17pxB1zs033+z/vXPnzvTq1YuWLVuyatUq7rvvvhBGJkRw3XHHHf7fO3XqROfOnWnTpg0bNmwI+zGM4ezBBx9kz549MpeFEGHunXfeYfr06bz//vskJSWFOpyg8Hq93HXXXUyfPp0rr7wy1OHUCF3X0TSNZcuWER8fD8Arr7zCsGHD+Mtf/lInbiTt3buXhx9+mClTppCWlkZWVhaPPfYY6enp/OMf/wh1eOWq65+BVanf7NmzWbFiBRs2bCAiIqIGo6s66e5eBQ0bNsRoNJaaBfj48eM0btw4RFFdPhISErjyyis5dOhQqEOp00quZbnOQ6d169Y0bNhQrvVqGD9+PP/5z3/44osvaNasmX9748aNcblc5ObmBpSX61uEm8aNG5f5PhwXF1cnkp8SK1asYMyYMaxatSpsW7aqoqCggO+++47x48djMpkwmUzMmDGDXbt2YTKZ+Pzzz0MdYrUlJyfTtGlTf4IO0L59e5RS/PLLLyGMLHhmzZrF9ddfz2OPPUbnzp1JS0vjL3/5C4sWLSIrKyvU4V3QhT4Dy3Kh95pw/kysTP1KzJkzh9mzZ/PJJ5/QuXPnGo6w6iRJrwKLxUL37t1Zv369f5uu66xfv57U1NQQRnZ5sNlsZGRkkJycHOpQ6rRWrVrRuHHjgOs8Pz+fbdu2yXVeS3755RdOnTol13oVKKUYP348a9eu5fPPP6dVq1YB+7t3747ZbA64vvfv38+RI0fk+hZhJTU1NeA6Bfj000/r1HW6fPly7r33XpYvX86gQYNCHU5QxcXF8f3337Nz507/T3p6Ou3atWPnzp306tUr1CFW2/XXX8+xY8ew2Wz+bQcOHMBgMFQ4cQp3drsdgyEwbSoZhqaUCkVI5brYZ2BZLqX3mqrUD3yrFs2cOZOPPvqIHj161HCU1RTKWesuZStWrFBWq1UtWbJE7d27V40bN04lJCSo7OzsUIdW5zz66KNqw4YNKjMzU23evFkNGDBANWzYUJ04cSLUoV3yCgoK1I4dO9SOHTsUoF555RW1Y8cOdfjwYaWUUrNnz1YJCQnq/fffV7t371ZDhgxRrVq1UkVFRSGO/NJU3utdUFCgJk2apLZu3aoyMzPVZ599prp166batm2rHA5HqEO/5DzwwAMqPj5ebdiwQWVlZfl/7Ha7v0x6erpq0aKF+vzzz9V3332nUlNTVWpqagijFpeDi73vPvHEE+ruu+/2l//pp59UVFSUeuyxx9S+ffvUwoULldFoVB999FGoqlCuytZv2bJlymQyqYULFwb8W83NzQ1VFS6qsnU8X7jP7l7Z+hUUFKhmzZqpYcOGqR9++EFt3LhRtW3bVo0ZMyZUVbioytZx8eLFymQyqb/85S8qIyNDbdq0SfXo0UP17NkzVFUoV0U+A++++271xBNP+B9v3rxZmUwmNWfOHLVv3z41depUZTab1ffffx+KKpSrKvWbPXu2slgs6t133w14TkFBQSiqcFGSpFfDa6+9plq0aKEsFovq2bOn+vrrr0MdUp00fPhwlZycrCwWi2ratKkaPny4OnToUKjDqhO++OILBZT6GTlypFLKtwzbs88+qxo1aqSsVqvq37+/2r9/f2iDvoSV93rb7XZ10003qcTERGU2m1XLli3V2LFj5cZfFZX1OgNq8eLF/jJFRUXqT3/6k6pXr56KiopSv//971VWVlboghaXhYu9744cOVL16dOn1HO6du2qLBaLat26dcB1HG4qW78+ffqUWz4cVeVveK5wT9KrUr99+/apAQMGqMjISNWsWTM1ceLEgIQp3FSljgsWLFAdOnRQkZGRKjk5WY0YMUL98ssvtR98BVTkM7BPnz6l/p2tWrVKXXnllcpisaiOHTuqdevW1W7gFVSV+rVs2bLM50ydOrXW468ITakw7KMhhBBCCCGEEEJchmRMuhBCCCGEEEIIESYkSRdCCCGEEEIIIcKEJOlCCCGEEEIIIUSYkCRdCCGEEEIIIYQIE5KkCyGEEEIIIYQQYUKSdCGEEEIIIYQQIkxIki6EEEIIIYQQQoQJSdKFEEIIIYQQQogwIUm6EJewvn378sgjj4Q6jFI0TeO9996r0XNMmzaNrl271ug5hBBCCCGEqG2aUkqFOgghRNWcPn0as9lMbGwsACkpKTzyyCO1lrhPmzaN9957j507dwZsz87Opl69elit1ho7t81mw+l00qBBgxo7hxBCCCGEELXNFOoAhBBVV79+/Ro5rsvlwmKxVPn5jRs3DmI0ZYuJiSEmJqbGzyOEEEIIIURtku7uQlzCzu3u3rdvXw4fPsyECRPQNA1N0/zlNm3aRO/evYmMjKR58+Y89NBDFBYW+venpKQwc+ZM7rnnHuLi4hg3bhwAkydP5sorryQqKorWrVvz7LPP4na7AViyZAnTp09n165d/vMtWbIEKN3d/fvvv6dfv35ERkbSoEEDxo0bh81m8+8fNWoUQ4cOZc6cOSQnJ9OgQQMefPBB/7nKIt3dhRBCCCFEXSRJuhB1xJo1a2jWrBkzZswgKyuLrKwsADIyMhg4cCC33XYbu3fvZuXKlWzatInx48cHPH/OnDl06dKFHTt28OyzzwIQGxvLkiVL2Lt3L/Pnz+dvf/sbr776KgDDhw/n0UcfpWPHjv7zDR8+vFRchYWFpKWlUa9ePb799ltWr17NZ599Vur8X3zxBRkZGXzxxRe89dZbLFmyxJ/0CyGEEEIIcbmQ7u5C1BH169fHaDQSGxsb0N181qxZjBgxwt/i3rZtWxYsWECfPn144403iIiIAKBfv348+uijAcd85pln/L+npKQwadIkVqxYweOPP05kZCQxMTGYTKZyu7e/8847OBwO/vnPfxIdHQ3A66+/zuDBg3nxxRdp1KgRAPXq1eP111/HaDRy1VVXMWjQINavX8/YsWOD8voIIYQQQghxKZAkXYg6bteuXezevZtly5b5tyml0HWdzMxM2rdvD0CPHj1KPXflypUsWLCAjIwMbDYbHo+HuLi4Sp1/3759dOnSxZ+gA1x//fXous7+/fv9SXrHjh0xGo3+MsnJyXz//feVOpcQQgghhBCXOknShajjbDYb999/Pw899FCpfS1atPD/fm4SDbB161ZGjBjB9OnTSUtLIz4+nhUrVjB37twaidNsNgc81jQNXddr5FxCCCGEEEKEK0nShahDLBYLXq83YFu3bt3Yu3cvV1xxRaWOtWXLFlq2bMnTTz/t33b48OGLnu987du3Z8mSJRQWFvpvBGzevBmDwUC7du0qFZMQQgghhBB1nUwcJ0QdkpKSwpdffsmvv/5KTk4O4JuhfcuWLYwfP56dO3dy8OBB3n///VITt52vbdu2HDlyhBUrVpCRkcGCBQtYu3ZtqfNlZmayc+dOcnJycDqdpY4zYsQIIiIiGDlyJHv27OGLL77gz3/+M3fffbe/q7sQQgghhBDCR5J0IeqQGTNm8PPPP9OmTRsSExMB6Ny5Mxs3buTAgQP07t2bq6++milTptCkSZNyj/W73/2OCRMmMH78eLp27cqWLVv8s76XuO222xg4cCA33HADiYmJLF++vNRxoqKi+Pjjjzl9+jTXXHMNw4YNo3///rz++uvBq7gQQgghhBB1hKaUUqEOQgghhBBCCCGEENKSLoQQQgghhBBChA1J0oUQQgghhBBCiDAhSboQQgghhBBCCBEmJEkXQgghhBBCCCHChCTpQgghhBBCCCFEmJAkXQghhBBCCCGECBOSpAshhBBCCCGEEGFCknQhhBBCCCGEECJMSJIuhBBCCCGEEEKECUnShRBCCCGEEEKIMCFJuhBCCCGEEEIIESb+P4Dslt0bKvwPAAAAAElFTkSuQmCC",
"text/plain": [
"<Figure size 1200x1200 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1200x1200 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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