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],
"text/plain": [
" employee team turnover male empower lmx worksat climate cohesion\n",
"0 1 1 0.0 1 32.0 11.0 3.0 18.0 3.5\n",
"1 2 1 1.0 1 NaN 13.0 4.0 18.0 3.5\n",
"2 3 1 1.0 1 30.0 9.0 4.0 18.0 3.5\n",
"3 4 1 1.0 1 29.0 8.0 3.0 18.0 3.5\n",
"4 5 1 1.0 0 26.0 7.0 4.0 18.0 3.5"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"try:\n",
" df_employee = pd.read_csv(\"../data/employee.csv\")\n",
"except FileNotFoundError:\n",
" df_employee = pd.read_csv(pm.get_data(\"employee.csv\"))\n",
"df_employee.head()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"worksat 0.047619\n",
"empower 0.161905\n",
"lmx 0.041270\n",
"dtype: float64"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Percentage Missing\n",
"df_employee[[\"worksat\", \"empower\", \"lmx\"]].isna().sum() / len(df_employee)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"employee | team | turnover | male | empower | lmx | worksat | climate | cohesion | |
---|---|---|---|---|---|---|---|---|---|

0 | 1 | 1 | 0.0 | 1 | 32.0 | 11.0 | 3.0 | 18.0 | 3.5 |

1 | 2 | 1 | 1.0 | 1 | NaN | 13.0 | 4.0 | 18.0 | 3.5 |

2 | 3 | 1 | 1.0 | 1 | 30.0 | 9.0 | 4.0 | 18.0 | 3.5 |

3 | 4 | 1 | 1.0 | 1 | 29.0 | 8.0 | 3.0 | 18.0 | 3.5 |

4 | 5 | 1 | 1.0 | 0 | 26.0 | 7.0 | 4.0 | 18.0 | 3.5 |

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],
"text/plain": [
" worksat empower lmx\n",
"0 False False False\n",
"1 False True False\n",
"2 True True False\n",
"3 False False True\n",
"4 True False False"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Patterns of missing Data\n",
"df_employee[[\"worksat\", \"empower\", \"lmx\"]].isnull().drop_duplicates().reset_index(drop=True)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
"worksat | empower | lmx | |
---|---|---|---|

0 | False | False | False |

1 | False | True | False |

2 | True | True | False |

3 | False | False | True |

4 | True | False | False |

"
]
},
"metadata": {
"image/png": {
"height": 711,
"width": 2011
}
},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(figsize=(20, 7))\n",
"ax.hist(df_employee[\"empower\"], bins=30, ec=\"black\", color=\"cyan\", label=\"Empowerment\")\n",
"ax.hist(df_employee[\"lmx\"], bins=30, ec=\"black\", color=\"yellow\", label=\"LMX\")\n",
"ax.hist(df_employee[\"worksat\"], bins=30, ec=\"black\", color=\"green\", label=\"Work Satisfaction\")\n",
"ax.set_title(\"Employee Satisfaction Survey Results\", fontsize=20)\n",
"ax.legend();"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"We see here the histograms of the employee metrics. It is the gaps in the data that we wish to impute to better understand the relationships between the variables and how gaps in one may be driven by values in the others. "
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"## FIML: Full Information Maximum Likelihood \n",
"\n",
"This method of handling missing data is **not** an imputation method. It uses maximum likelihood estimation to estimate the parameters of the multivariate normal distribution that could be best said to generate our observed data. It's a little trickier than straight forward MLE approaches in that it respects the fact that we have missing data in our original data set, but fundamentally it's the same idea. We want to optimize the parameters of our multivariate normal distribution to best fit the observed data. \n",
"\n",
"The procedure works by partitioning the data into their patterns of \"missing-ness\" and treating each partition as contributing to the ultimate log-likelihood term that we want to maximise. We combine their contributions to estimate a fit for the multivariate normal distribution. "
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Full information Maximum Likelihood Estimate Mu:\n"
]
},
{
"data": {
"text/html": [
""
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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"text/plain": [
" worksat empower lmx\n",
"0 3.983351 28.595211 9.624485"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Full information Maximum Likelihood Estimate COV:\n"
]
},
{
"data": {
"text/html": [
"worksat | empower | lmx | |
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0 | 3.983351 | 28.595211 | 9.624485 |

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"text/plain": [
" worksat empower lmx\n",
"worksat 1.568676 1.599817 1.547433\n",
"empower 1.599817 19.138522 5.428954\n",
"lmx 1.547433 5.428954 8.934030"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data = df_employee[[\"worksat\", \"empower\", \"lmx\"]]\n",
"\n",
"\n",
"def split_data_by_missing_pattern(data):\n",
" # We want to extract our the pattern of missing-ness in our dataset\n",
" # and save each sub-set of our data in a structure that can be used to feed into a log-likelihood function\n",
" grouped_patterns = []\n",
" patterns = data.notnull().drop_duplicates().values\n",
" # A pattern is whether the values in each column e.g. [True, True, True] or [True, True, False]\n",
" observed = data.notnull()\n",
" for p in range(len(patterns)):\n",
" temp = observed[\n",
" (observed[\"worksat\"] == patterns[p][0])\n",
" & (observed[\"empower\"] == patterns[p][1])\n",
" & (observed[\"lmx\"] == patterns[p][2])\n",
" ]\n",
" grouped_patterns.append([patterns[p], temp.index, data.iloc[temp.index].dropna(axis=1)])\n",
"\n",
" return grouped_patterns\n",
"\n",
"\n",
"def reconstitute_params(params_vector, n_vars):\n",
" # Convenience numpy function to construct mirrored COV matrix\n",
" # From flattened params_vector\n",
" mus = params_vector[0:n_vars]\n",
" cov_flat = params_vector[n_vars:]\n",
" indices = np.tril_indices(n_vars)\n",
" cov = np.empty((n_vars, n_vars))\n",
" for i, j, c in zip(indices[0], indices[1], cov_flat):\n",
" cov[i, j] = c\n",
" cov[j, i] = c\n",
" cov = cov + 1e-25\n",
" return mus, cov\n",
"\n",
"\n",
"def optimise_ll(flat_params, n_vars, grouped_patterns):\n",
" mus, cov = reconstitute_params(flat_params, n_vars)\n",
" # Check if COV is positive definite\n",
" if (np.linalg.eigvalsh(cov) < 0).any():\n",
" return 1e100\n",
" objval = 0.0\n",
" for obs_pattern, _, obs_data in grouped_patterns:\n",
" # This is the key (tricky) step because we're selecting the variables which pattern\n",
" # the full information set within each pattern of \"missing-ness\"\n",
" # e.g. when the observed pattern is [True, True, False] we want the first two variables\n",
" # of the mus vector and we want only the covariance relations between the relevant variables from the cov\n",
" # in the iteration.\n",
" obs_mus = mus[obs_pattern]\n",
" obs_cov = cov[obs_pattern][:, obs_pattern]\n",
" ll = np.sum(multivariate_normal(obs_mus, obs_cov).logpdf(obs_data))\n",
" objval = ll + objval\n",
" return -objval\n",
"\n",
"\n",
"def estimate(data):\n",
" n_vars = data.shape[1]\n",
" # Initialise\n",
" mus0 = np.zeros(n_vars)\n",
" cov0 = np.eye(n_vars)\n",
" # Flatten params for optimiser\n",
" params0 = np.append(mus0, cov0[np.tril_indices(n_vars)])\n",
" # Process Data\n",
" grouped_patterns = split_data_by_missing_pattern(data)\n",
" # Run the Optimiser.\n",
" try:\n",
" result = scipy.optimize.minimize(\n",
" optimise_ll, params0, args=(n_vars, grouped_patterns), method=\"Powell\"\n",
" )\n",
" except Exception as e:\n",
" raise e\n",
" mean, cov = reconstitute_params(result.x, n_vars)\n",
" return mean, cov\n",
"\n",
"\n",
"fiml_mus, fiml_cov = estimate(data)\n",
"\n",
"\n",
"print(\"Full information Maximum Likelihood Estimate Mu:\")\n",
"display(pd.DataFrame(fiml_mus, index=data.columns).T)\n",
"print(\"Full information Maximum Likelihood Estimate COV:\")\n",
"pd.DataFrame(fiml_cov, columns=data.columns, index=data.columns)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Sampling from the Implied Distribution\n",
"\n",
"We can then sample from the implied distribution to estimate other features of interest and test against the observed data."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"worksat | empower | lmx | |
---|---|---|---|

worksat | 1.568676 | 1.599817 | 1.547433 |

empower | 1.599817 | 19.138522 | 5.428954 |

lmx | 1.547433 | 5.428954 | 8.934030 |

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],
"text/plain": [
" worksat empower lmx\n",
"0 4.467296 31.568011 12.418765\n",
"1 4.713191 30.329419 10.651786\n",
"2 5.699765 35.770312 12.558135\n",
"3 4.067691 27.874578 6.271341\n",
"4 3.580109 28.799105 9.704713"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"mle_fit = multivariate_normal(fiml_mus, fiml_cov)\n",
"mle_sample = mle_fit.rvs(10000)\n",
"mle_sample = pd.DataFrame(mle_sample, columns=[\"worksat\", \"empower\", \"lmx\"])\n",
"mle_sample.head()"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"This allows us to compare the implied distributions against the observed data"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"worksat | empower | lmx | |
---|---|---|---|

0 | 4.467296 | 31.568011 | 12.418765 |

1 | 4.713191 | 30.329419 | 10.651786 |

2 | 5.699765 | 35.770312 | 12.558135 |

3 | 4.067691 | 27.874578 | 6.271341 |

4 | 3.580109 | 28.799105 | 9.704713 |

"
]
},
"metadata": {
"image/png": {
"height": 711,
"width": 2011
}
},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(figsize=(20, 7))\n",
"ax.hist(\n",
" mle_sample[\"empower\"],\n",
" bins=30,\n",
" ec=\"black\",\n",
" color=\"cyan\",\n",
" alpha=0.2,\n",
" label=\"Inferred Empowerment\",\n",
")\n",
"ax.hist(mle_sample[\"lmx\"], bins=30, ec=\"black\", color=\"yellow\", alpha=0.2, label=\"Inferred LMX\")\n",
"ax.hist(\n",
" mle_sample[\"worksat\"],\n",
" bins=30,\n",
" ec=\"black\",\n",
" color=\"green\",\n",
" alpha=0.2,\n",
" label=\"Inferred Work Satisfaction\",\n",
")\n",
"ax.hist(data[\"empower\"], bins=30, ec=\"black\", color=\"cyan\", label=\"Observed Empowerment\")\n",
"ax.hist(data[\"lmx\"], bins=30, ec=\"black\", color=\"yellow\", label=\"Observed LMX\")\n",
"ax.hist(data[\"worksat\"], bins=30, ec=\"black\", color=\"green\", label=\"Observed Work Satisfaction\")\n",
"ax.set_title(\"Inferred from MLE fit: Employee Satisfaction Survey Results\", fontsize=20)\n",
"ax.legend()"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"### The Correlation Between the Imputed Metrics Data\n",
"\n",
"We can also calculate other features of interest from our sample. For instance, we might want to know about the correlations between variables in question. "
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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],
"text/plain": [
" worksat empower lmx\n",
"worksat 1.000000 0.300790 0.409996\n",
"empower 0.300790 1.000000 0.410874\n",
"lmx 0.409996 0.410874 1.000000"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pd.DataFrame(mle_sample.corr(), columns=data.columns, index=data.columns)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Bootstrapping Sensitivity Analysis\n",
"\n",
"We may also want to validate the estimated parameters against bootstrapped samples under different speficiations of missing-ness. "
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"data_200 = df_employee[[\"worksat\", \"empower\", \"lmx\"]].dropna().sample(200)\n",
"data_200.reset_index(inplace=True, drop=True)\n",
"\n",
"\n",
"sensitivity = {}\n",
"n_missing = np.linspace(30, 100, 5) # Change or alter the range as desired\n",
"bootstrap_iterations = 100 # change to large number running a real analysis in this case\n",
"for n in n_missing:\n",
" sensitivity[int(n)] = {}\n",
" sensitivity[int(n)][\"mus\"] = []\n",
" sensitivity[int(n)][\"cov\"] = []\n",
" for i in range(bootstrap_iterations):\n",
" temp = data_200.copy()\n",
" for m in range(int(n)):\n",
" i = random.choice(range(200))\n",
" j = random.choice(range(3))\n",
" temp.iloc[i, j] = np.nan\n",
" try:\n",
" fiml_mus, fiml_cov = estimate(temp)\n",
" sensitivity[int(n)][\"mus\"].append(fiml_mus)\n",
" sensitivity[int(n)][\"cov\"].append(fiml_cov)\n",
" except Exception as e:\n",
" next"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Here we plot the maximum likelihood parameter estimates against various missing data regimes. This approach can be applied for any imputation methodology."
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
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8/Z9//sGkSZPwww8/GLwKUlpaGqZNm4b4+HgABTOgtmjRAo6OjkhLS8PNmzeNei1TFRsbiylTpuD+/fvCZe+99x4+/PBDjWPm5eVh6tSpohXRbWxsEBgYCB8fH9ja2kIulyM9PR0xMTGIjo42OsT29PRE/fr14eXlBVtbW5iamiI9PR337t3D9evXhWA+MjIS06ZNw4YNG7TOImpmZgaJRAKlUil6rzU1NdV5XxkymywREREREZUN5ofVPz9s164d/P39kZ+fj+joaFy6dIn5YSXH/LDk+eH7778vKr5jflj+UlJSMGHCBFEhsbm5OQICAlC/fn3UqFED2dnZuHPnjmi1o99//x1SqRRz5swx+Lp27NiB//3vfwAAJycntG/fHh4eHpDJZIiIiBAVawYHB6Nly5YYMGAAZs6cKazkU6dOHbRq1QpOTk5IT0/HxYsX8fjxYwAFxbDLly9HixYtDC6EBoAlS5YIx3d2dhb6lZmZiYiICFHhY2RkJCZNmoSffvpJ78o9aWlpGD9+vGhCSxMTEzRv3hyNGzeGtbU14uPjceHCBWHAvkwmw6JFiyCVSjF8+HCtxw0KChJeQy9fvgylUqnzNVhX7jtmzBid/Vbdp02bNjrbPXr0CB999JGoGN/a2hotWrSAr68vbG1tkZmZiaioKNy4cQNKpRJKpRLr16+HXC7HuHHjdB5b3cqVK4VVAh0cHNC2bVt4enpCoVDgyZMnOickICIiIiIiIu2YNb8YWXPt2rWRn5+Phw8fsla1CmDWzFrVQlU5ay6ur776SsiG1fPfkJAQPHnyBEBB/rts2TI0b94cdnZ2+PTTT/H8+XPhsS5cpCk+Ph7nzp0TJm/JyMjA3Llz8fPPP8PCwkJrHyZMmIDr168jIiICALB3714EBgaiR48eWtvfvn0bq1evFrbd3d0xd+7cYteoViUc3E5EREREVE3169cPmzdvBgAcPnxYa2AYGxsrFNgA0DnwsDTk5uZi165dwnatWrWwZMkSNGjQQOc+jx49wrFjx3T+fcuWLcLvVlZWmD17Nnr16qWzfUpKCs6cOVPkCsLFcerUKchkMjg4OGDGjBno3r27RptLly5hxowZwsDDv/76C++9955oxkdVWVlZWLx4sSgs7NOnD7744guhkCo1NRVKpRJJSUlYsmQJ/v33XyGIqAySkpJEMxa6u7sbtb96+4SEhCobGD579kxjdsLs7GzExcXh+vXr2LFjB5o3b47PP/8cjRs3rqBeGq5Hjx749ttvkZOTg+TkZFy8eBEdO3bUaKf6pUSnTp2KHXqtWLFCFBb27NkTH3/8sdbzITk5Gd99950wi+HVq1exbds2vUV2zZo1Q48ePdCpUye4urrqbPfs2TN89913OHfuHICCQPL48ePo06ePwbfl66+/BgC88cYbGD9+vMYq5SkpKaIvIFJSUrB3716MHz/e4OsobR06dBAGt9+6dQvp6ekaK4wDBfd94aBtiUQiPP/1zegZERGBnJwcYVvX4PazZ8+KBrabm5tj0qRJGD58uEaId/HiRSxYsABJSUkAgPDwcKxfvx4fffSRITcXv//+O/Lz8+Hp6YnZs2ejdevWGm1kMplBx1J169YtTJkyReiXRCLBtGnT8PLLL2ttf+LECdEqTIMHD8bkyZN1rmwvl8sRFhaGAwcO6B3IX7duXQwcOBBdu3bV+5qanJyMdevW4c8//wQA3Lx5E7t378a7776r0Xb//v0ACp5vqvfz2rVrRbPnEhERERFR5cH8UFN1yQ+nTp0KR0dHODo6AijIEBMTE5kfVnLMD0uWHy5cuFCUQTE/LH9KpRLz588XBrabmJhg2LBhGDt2LJydnTXaP3v2DIsXL8bVq1cBFJwLbdq0Mfi9ZsOGDTAxMcHYsWPxzjvvaBQSnj59GnPmzBFyvE2bNiE1NRUXL16EnZ0dZs6ciZ49e4r2yc/Px08//YSff/4ZQMHkk1u2bMH8+fMN6lNkZCTy8vJgYmKCMWPGYNSoURo53dWrVzFv3jxhIHdkZCS2bdumd4D2kiVLRAPb/fz88M0338Db21u0ilheXh42bdqEHTt2CJetXr0aAQEB8Pf31zhu27ZthVwvJSUFd+/e1dpOLpeL/j9gamoKhUKBGzduICcnB9bW1hr7xMXFCYWigO7cVyqVYubMmcL9YWZmhnfffRcjR46EnZ2dRvs7d+5gwYIFuHPnDoCCwQqtWrXSmuGqe/78OX777Te9501xcl8iIiIiIqIXHbNmTdUpa1bP61irWvkxa2ataqGqmjUXV0REBORyOezs7DBr1iyNweTq+a9MJsOWLVuQlZWF58+fo379+pg7d67G+0VGRgZmzpwpvKY/fPgQhw8f1ln3aWZmhsWLF+Odd94RBsUvXrwYDRo0gLe3t6htVlYWZs2aJawWL5FIsGjRoio9wYAxuDwSEREREVE1NWDAAGGwX1RUFB48eKDR5vDhw0LRi7+/v9aCldJSWOBS6KuvvtIbFgIFM9KNHTsWY8eO1fhb4QC+Qu+++67esBAoWLlj6NChWLx4sXGdN4BMJoONjQ3WrVunNSwECoqEpk6dKmwrlUocPnxY5zF//fVX0Wq9PXv2xIIFC7R+YHVxccGyZcvQpk0b4QNuZVA4o18hGxsbo/ZXb696DlVHERERGD9+PA4ePFjRXSmStbW1KPgJDg7WaJObm4tTp04J28X9UuLq1aui++TNN9/EkiVLdIbHzs7OWLRokWjmzZ07dyIjI0PndaxatQovv/yy3rAQKJhx95tvvkGnTp2Ey/bu3WvoTQFQ8Hoxbtw4fPbZZ1oHKTs5OeHrr78WCtABcfBaEVTDYIVCoXOweuHqPkBBsWLh/fn8+XOt70OF+xSytrZG8+bNNdooFAqsWrVKdNm8efPw6quvap2dsl27dlizZo3oNWTXrl0aob0u+fn5sLe3x7p163QWRepbSUmbc+fOYcKECcLAdhsbG6xYsUJnwAmI7xsfHx/MmDFD58B2oCAUbdOmDRYtWoRGjRrpbLdgwQKMGDGiyC9gnJ2dMWvWLNHKTvv37xd9EURERERERFUX80NNzA/LH/ND4zA/1O7q1avCCt4A88OKEhwcjJCQEGH7s88+w7Rp07QObAcK7qvVq1ejZcuWwmWbNm0yOHuSy+WYPHkyxowZo3WFnB49emDkyJHCdlxcHH788UeYmZlh9erVGgPbgYLCwY8++kiUUf7999/Izc01qE+Fr68TJkzA2LFjtU5A2bp1a43scseOHUJuqO7q1as4c+aMsO3l5YUdO3agadOmGm0tLCwwceJE0UD5vLw80ao/6n1RXUXq0qVLWttFRUUJxfC+vr5C0bP6oHdV6sfSNbh9x44duHv3LoCCQfNLlizB+PHjtQ5sBwr+P7Ju3TphEmiFQoGNGzdqbauu8Nz6/PPPdZ43xua+RERERERExKxZm6qWNe/fv59ZM7PmSou1qi9e1lxccrlcyH+1rZKuLf89fvw4zp07By8vL6xbt07r+0WNGjWwYMEC0X145MgRvX1RX309MzNTNIi90OLFi0WThE6YMAEBAQGG3eBqgIPbiYiIiIiqKW9vb9GHG23BlOoH0P79+5dpf5KTk0XbJZ3tLzU1VVTgVBlmDxw3bhzq1aunt03fvn3h4uIibN+4cUNrO6VSiQMHDgjbNjY2mDp1qtZBnIXMzMwwc+ZMvav1ljf1gE9boZA+6u2rYmDo4OCAQYMGYeHChdizZw9OnjyJc+fO4fDhw/jhhx/w1ltviQIPmUyGr7/+Gn///XfFddpAqq8b586dQ2Zmpujvp0+fFkJjBwcHUchmjMJZEgGgfv36Bq++/fnnnwsrxmRnZ+Po0aPFun51pqamoi8ybty4IcyuaIgGDRpg9OjRetvY29tj4MCBwnZcXBwSExON72wp8ff3F4WpumYVVr28bdu2aNOmjbCtqzBSdZ/AwECtr2Hnzp0TDUzv3bt3kV8S1a9fX1TEmZ+fL6xCZIiJEyeiZs2aBrfXZ//+/Zg+fbrwGubm5ob169ejffv2evdTfe9s0KABTE0rJsp7//33hetOSEgQVkUiIiIiIqKqjflh+WN+qIn5IfPD0sgPVVep9vPzY35YAZRKJX755Rdhu0OHDnj99deL3M/MzAzTpk0TXruePXsmGiCvT5MmTfDGG2/obTN06FDRtkKhwIgRI7QODFelOiGlVCo1Kg9r2LAh3n77bb1t6tatK1q9SSaT6Swk3rdvn2h72rRpovcJbUaNGiUqwrxy5YowgFyVra2t6P3RkNw3KCgIbdu2FbYNyX19fX3h5uam0SY3N1eU2Q4dOhRdu3bVejxVdnZ2mDx5srAdFhaG+/fvF7kfADRv3lzrCoJERERERERUfMyayx+zZk3Mmpk1s1ZVU1XMmkvqjTfeKDL/Vc2NFQoFAGDq1Kmwt7fXuY+TkxO6desmbN+8ebPIiVo7duyId955R9i+desW1qxZI2zv27dPNClDp06d8NZbb+k9ZnXDwe1ERERERNWY6sxzR44cET6AAcD169eFmb4kEgleeumlMu1L4Yf2QtHR0ZXqeCVlbm6ud/XdQhKJRBTkxsTEaG0XExMjGsjZo0cPnaubqPLy8kKHDh2K7rCKOXPmICQkRPgZNGiQUfvroz7DnLErXqgHhlKptMR9Kk/jxo3DwYMH8dVXX6FPnz7w9fWFra0tzMzM4OTkhNatW+OTTz7Bvn37RKvTKBQKLFy40KgQqiK0bt0aHh4eAAoemxMnToj+rvpFRZ8+fYoVZiclJYmKGYcPH27wcRwdHUWDq69evWr09etSv3590XZkZKTB+77yyisGDVJWPScA3a8XhQ4cOCB6Lhe1KrexVO9LXUWOqiu6BwUFiVbj0bZPVlYWbt68qfU6VJ09e1a0/eabbxrU52HDholm1VU/ji42Njbo16+fQW31USqV+P7777F8+XIhyPTz88PmzZsNmoFa9b3uzp07ovfx8uTi4gInJydhW9eXXUREREREVPUwPyw/zA+1Y37I/LAQ88P/VMX8MCoqSnT9hgxsL1S3bl3R/WXo4zBs2LAi29SsWVPjtfGVV14pcr9mzZqJtrWtOKfLa6+9ZtDjN3ToUFhaWgrb2oqIZTKZ6Pz29fU16DVcIpFoZKj//POP1raqz4GwsDDIZDKNNsbmvkqlUrSPrtz33LlzotcxY86bdu3aiYpNDT1vDHn8iYiIiIiIyHjMmstPaWfN9+7dY9YMZs3Mmpk1q6roWtWSMCT/Ux/87unpadDrmWpunJubi9jY2CL3+eCDDxAYGChs79+/HydOnMDNmzfx/fffi/owZ84cvROLVEcc3E5EREREVI317t1bKIxJSEgQfVhWnQmzXbt2Ra7yUFKNGzcWfeCaP38+oqKiin08W1tb1KlTR9jesmULjh8/XmED/xo1aiQaQKmP6krAGRkZWtuohw/t2rUzuC/GtC1r6oGftqIofdQDR9VCr6qgVatWBvXZxcUFK1euFK2kkpWVJVpxqDIyNTUVDQBWDQgTEhJExWuqX2AYIywsTLStGvIYonbt2sLvhqyuk52djcOHD2PRokUYNWoUBg8ejJ49e6JTp06inx49eoj2S0hIMLhPrVq1Mqid+qrh6enpBl9HWVAtWHzy5InoSw0AePToEeLi4gAAzs7O8PPzE+0TGhoKuVwu2ufq1aui2StVV/xRFRERIfzu4uJS5MyahaysrESh45MnT5CSklLkfk2aNIGVlZVB16GLVCrFrFmzsHPnTuGytm3bYv369XB3dzfoGE2aNBF+f/jwIRYvXlyqXyTIZDL8/fffWLZsGcaNG4fBgwejV69eGud7p06dkJSUJOz3/PnzUusDERERERFVLOaH5Yf5oXbMD5kfFmJ++J+qmB+GhoYKv5uYmKBFixZG7a/6OBhaIG7odahmcW5ubgYVWqrnd7pei7UxdFUoW1tb0WN99+5d5Obmitrcvn1bVEhtyKrmhbp16yYqXFXNWFWpZri5ubm4fv266O85OTnCZJcSiQStW7dG8+bNhcL++/fvi7LDwtuimsPqyn1VzxtHR0f4+voacMsKmJqaih5LQ88bQ59fREREREREZBxmzeWntLPm8PBw0Taz5gLMmisXZs3/qe5Zc0m4ubnB29u7yHbq+W9AQIBBg8rV98vMzCxyH4lEgoULF4oWF1q6dClmzJghvE6ZmZlh0aJFcHBwKPJ41Y3x01AQEREREVGVYWtri65du+L48eMACj7MBwUFQSqV4uTJk0K74n6QN4arqyv69OmDY8eOASgYYPj+++/D398fHTt2RMuWLdGsWTPY2dkZfMw333wTX3/9NYCCQYSzZ8/G999/j86dO6NVq1YICAgweABhSbm5uRncVnUmz+zsbK1tnj59KtpWn3lPH2PaljX1WUvVA8CiqLdXP151YmVlhWnTpmHs2LHCZSdOnMAnn3xSgb0q2oABA7B9+3YABUH306dP4e3tLZqB19fXVzRI1xjqBWnvvPOOUfurfomgb1CwXC7H3r17sXnzZp3PS32MCfMMfb1QP99zcnKM6lNpUy1yBApW5FGdBVh1hZ42bdrAxMQE7u7uqFOnDh4+fIisrCxERUWJZgS+dOmS8LuTkxP8/Pw0rlepVAqzNwMQBeuGaNiwoeg97+HDh6KgUBvVL6SKIy0tDR9//LGoYHTw4MGYPn26UbPCDh48GDt27BBC0ODgYJw4cQJBQUFo27YtWrRoAT8/P0gkEqP7+Ndff+GHH34waLC/uqoaXhMRERERkSbmh8wPKxrzQ8MxP9ROPT98++23jdqf+WHpUH0clEol+vTpY9T+qo+DofeVoa/fqvdTWd+3bm5uRWaPqho0aIALFy4AAPLz8/H48WP4+/sLf3/06JFGe0PZ2Nigdu3aePjwIQAI/6oLCAiAlZWVMLD+8uXLaN26tfD30NBQociySZMmsLW1BVAwuUBISIiwSrvqqnuqua9EItFZRKt63qSmpho8MUAh1YlTDTlvrKyshBW+iIiIiIiIqHQxa666WfPjx49F28yatR+vOmHWrB1rVf9T0bWqxVXc21vc/Qx9/Nzc3DBv3jx89tlnUCgUyMrKQlZWlvD3iRMnilaFf5Fw5XYiIiIiomquf//+wu+nT59GTk4Ozp49K8zCaGdnhy5dupRLX6ZNm4bmzZuLLrtz5w62b9+OyZMno2/fvnj33XexevVqYRUIfYYOHYpXX31VdFlCQgJ+++03fPXVVxgyZAiGDRuGhQsX4uzZs0bPxGiMkq7wq059lkx7e3uD961MM7epzxBqbBCj3r46B4YA0KxZM9StW1fYjo+P1yheq2zq1KkjCgMLZ9pVnXG3JF9KpKamirbz8/ON+lEqlcK+umZJlMvlmDt3Lr7//vtihYWAcWF4cc9j1dtSETw8PESDvlUHs6tvq67EozooXt8+hQPi1WVlZYmKFI2dvdnZ2Vm0bUi4a8yXV9rs379fNLB91KhRmDVrllED24GCAf9Lly4V9UcqleLcuXP47rvv8N5776FPnz6YPHky9u7di8TERIOOu2rVKixatKhYA9sB47/8ISIiIiKiyo35IfPDisT80DjMDzUxP/xPReaH5fE4qCvO66qhK26p55SG3rfGDGwHNLNL9dd29e2SZKO6VmczNzcXrUJV2rlv48aNdeatJT1vVBly3tSoUaPINkRERERERFR8zJqrZtasXkvFrLkAs+bKh1lzgeqeNZdEcfPf4r6uGnM/tWvXDu+++67G5V26dMHIkSOLdf3VAVduJyIiIiKq5tq1awcXFxckJSUhJycHp0+fFmbHBIBevXoZ/GGupOzs7LBu3Tr88ccf2Lt3r0YQolAoEB0djejoaOzevRuNGjXCp59+qnNFBwCYOnUqOnfujO3btyMsLEzjg2JsbCyCg4MRHBwMNzc3jBkzBkOHDi2Lm1eq1MMHc3Nzg/c1pm1Zc3FxgUQiEYqMEhISjNo/Pj5etF1es5tWpGbNmuHBgwfCdlxcHHx8fCqwR0UbMGAAoqKiAABHjhxBx44dERMTAwAwNTVFv379in1sQwsZDaErSNq9e7dohmALCwv07t0b7dq1Q7169eDm5gYrKytYWlqKQq327dsXeezqJigoSFjh58qVK1AqlTAxMYFCocC1a9dE7Qq1bdsW+/fvB1BQ1DhmzBgABa8HqqsFqa8MX0g9xDU2SCzOFxfGDkJXZ2lpCalUKmyHhYUhKytLWNXIGEFBQdi1axe2bt2Ko0ePavQ/OzsbISEhCAkJwZo1azBgwAB8/PHHOr88OnHiBPbs2SNsSyQSdO7cGZ07d4a/vz/c3d1hY2Ojcb4PHToUcXFxAF6c852IiIiI6EXB/JD5YUVifmg85odizA8rh9J8HFRXOKpqjC0WVc861VdEUl29pzjHV81G1Y+lKigoCCEhIQCAW7duISMjQxgIrjpQXT33LaTaRiaTITw8XOs+6sr7vJFIJKV2fURERERERKSJWTOz5orErNl4zJrFmDVTWbOwsNC4rGPHjhXQk8qDg9uJiIiIiKo5iUSCl156Cbt27QIA7NmzB/fu3RP+XpJZ6orDzMwMw4cPx/Dhw3Hnzh1cu3YN169fx/Xr1/H8+XNR21u3buHjjz/GjBkzMHjwYJ3HbN++Pdq3b4/4+HhcvnwZ4eHhuHHjBmJiYkQf4p8/f46vv/4aERERmD17dpndxtKgvopFdnY2HB0dDdpXX4FSeTMzM4O3t7cQDsfHxwuDYQ2hGjBaWVmhZs2aZdLPykR9pZa0tLQK6onh+vTpg9WrV0Mmk+Hp06dYsWKF8LfWrVuXKOhV/ULD1NQUZ86cKdVQXCaTYfv27cK2i4sL1q5dK5qVVJvizppZ1bVp00YYqJ6amoro6Gg0bNgQt27dEmbxrVOnDjw8PIR9WrduLXxxcOPGDWRnZ8PGxkZjNZ82bdpovU71wem5ublG9Vn9sVI/XlkYMWIEYmJicObMGQAFg9s/+eQTrFy5slgzFru7u2P69OmYNGkSQkNDERYWhoiICERGRooG0efn5+PPP//EpUuXsGHDBtHjUGjTpk3C71ZWVli1apVoZSZd1AtriYiIiIio+mB+yPywIjE/NB7zQzH1/PDs2bMlnrhQFfNDw6g+Dm5ubvjzzz8rsDcVx9gMTT3rVB+8rj5ZprHHVz0P9U28qZrN5ufn4+rVq+jevTtSUlKE/xPY2NigWbNmQjs/Pz84OTkhJSVFWNnLx8cHERERon7qyn0B8XkTEBCADRs2GHX7iIiIiIiIqHJh1lw1s+bCCe4KMWtm1lyZsVaVqqqrV69i8+bNGpevWbMGgYGBRZ4H1ZVpRXeAiIiIiIjKnmooGB0dLcxMWKtWLbRo0aKiugV/f3+88cYbWLx4Mf7880/s27cPn376KerUqSO0USgUWLZsGZ4+fVrk8Tw8PDBo0CDMmjULu3fvxqFDhzB37lyNwpng4GAcPny41G9PaVIPBwtXyzVEbGxsKfemZHx9fYXfpVKpMEtiUbKysvD48WNh28fHx+CgsSpTL2bTNlNfZePg4CCaPbBwZkyg5F9KqD4XFAoFnj17VqLjqQsLCxPNuDlx4kSDQqLk5ORS7UdVUThQvVDhAPUrV64Il6mvxGNra4vGjRsDAORyOUJDQwEAly5dEtrUqlULXl5eWq/T1tZWdJ1JSUlG9Vn9sbK3tzdq/+IwMzPD4sWL8dJLLwmXRUVFYeLEiUb3X5WVlRU6dOiACRMm4Mcff8TJkyfxww8/YPjw4aJB+/Hx8Vi4cKHG/k+ePBG9Br/99tsGDWyXyWSlOjMtERERERFVPswPmR9WJOaHxmF+KMb8sHJQfRwSExNFEzK+SFJSUoxqr36eqBeTq2+XJBtVP5aqBg0aiB5D1dy3sDC/ZcuWookjTExMRO+fhXmvau5rZWWFgIAAnderep2GvI8TERERERFR5cesueplzU5OTqJtZs3MmiszZs1UFSUnJ2Pu3LnCe6KlpSVMTQuGdefk5GDWrFlGL/pUXXBwOxERERHRC8DPzw8NGjTQuLx///4V0BvdfHx8MHLkSOzatUsUMsjlchw6dMjo4zk5OaF///5Yu3YtZs6cKfrbwYMHS9zfsqT+eKkGMEW5efNmaXenRNRD6YiICIP2i4yMhEKhELYNGYBZHaiH4+rhcWU1cOBAjctsbGzQvXv3Eh1XPbwrHBhdWh4+fCja7tChg0H7VbbnWXmpUaMGGjZsKGxrK1hUH9yufllhYeTVq1f17lPIxMQEtWrVErajo6ON6vPt27dF26pfSpUlMzMzzJs3D8OGDRMuu3fvHj788EOjvgQq6jpat26NL774Art27YKbm5vwtytXrmgE7IUzExcy9Hy/ffu2EKwSEREREVH1xPyQ+WFFYn5oHOaHYur54bVr10p0PHXMDw2j+jgolUqEhYVVXGcq0PPnz5Gammpw+zt37gi/SyQS1K5dW/R3Hx8f0bYx2Wh2draoKFtfLmpiYoLWrVsL2yXJfQv/BQpel/WtbqV63iQlJWnkl0RERERERFT1MGuuellz4aIlhZg1M2uu7FirSlWJQqHA3LlzkZiYKFw2bdo0jB49Wti+f/8+li9fXhHdq3BmRTchIiIiIip9ycnJUCiUFd2NYklOToG5uRy5uaYwNTWFq6trRXfJIP379xcVvZiYmFS6wLCQRCLBlClTcOTIESEwUi3wKY4hQ4bgt99+w61bt0rleGWtadOmkEgkwmDC48eP4+233y5yP6VSiRMnTpR194zSpUsXfP/998L2qVOnMGTIkCL3O3XqlGi7a9eupd63yiY3N1cUiEkkEtSrV68Ce2S4jh07wtHRUVS41717d1hbW5fouOoFc0ePHsXQoUNLdExV6qtRG7qq98mTJ0utD1VNUFCQ8CVGeHg4MjIyhC8CJBKJqAhSdZ+tW7cCKChuvHfvniis0ze4HQACAgKEcDcpKQmRkZFo2rRpkX3Nzc1FSEiIsF2rVq1yDeFNTEwwffp02NjYYOfOnQCAx48f48MPP8T333+vUaxaEp6ennj33XexYsUK4bI7d+7Ay8tL2M7IyBDto2+1JlXGnO+qqzcBEH3xQ0RERERElVtlzA8TExN1fq549913RfnhjRs3kJCQUOzrat++Pfz8/HD37l0ABQMItR0vKytLtK3vOlX7npuba3D/DLkOd3d3UX54+PBh9O3b9/+zdwVMTEyEnCM9PV1YeVepVGoUZ2ZkZJTovisp9c/4R44cQfv27YvcLzg4WLRdkSs/lRfmh5rUc6Vjx44xP6wAbdq0wZYtW4Tto0ePol27dhXYo4pz7tw5DBo0qMh2WVlZoskY/Pz8YGVlJWrTqFEjWFpaQiqVAgDOnj2Ljz76yKB+nD17VvQ+1Lx5c73tg4KChPP28ePHiIuLw5UrV4S/t23bVmMf1cuuXbuGtLQ04Xu4wmPq06ZNG9HqdUePHsW4ceP07kNEREREhtOXq1DRqlJdIFFlUxmzZl1Yq1qQq7JWlbWqzJpZq0plY8uWLaIJQQcNGoSBAwdCoVAgPDxcyGD/+usvtGrVSjThyouAg9uJiIiIqEIoFEpIpXLI5RXdE+NlZ8thbp4PMzNFlfoCYMCAATAxMRG27ezsRAPeKhtbW1s4ODggJSUFACCTyUp8TG9vbyEwLI3jlaUaNWqgc+fOOHPmDICCVXPPnDmDbt266d3v4MGDGiv1VjQfHx/4+/sLIe2lS5fw+PFjvYM609PTRcGns7PzCzEb5p49e0TFy82aNYOdnV0F9shwZmZmmD17tmglGEOKkIvi6emJ5s2bC4OnQ0NDceHCBYNnrSyKjY2NaPvZs2caq+Gou3v3Lv75559Suf6qqG3btti+fTsAQCqV4pdffhGKKxs3bqz1nG3evDmsra2Rk5ODe/fu4ejRo8LfTE1NtQ6IV9WlSxf8+eefwvbu3buxaNGiIvv6xx9/iJ5TRb2GlpVPPvkENjY22LhxIwAgLi5OGOBeml8KeHt7i7bV3+vUz/fY2Ngiz/fExETRfV8U9etIT083eF8iIiIiIqpYlTE/VCgUyJXlQK7QkuVJALsadkhPK/jckZuXi0xpyT6DuLq5CIPbZTKZ1uPl5UtF2/quU6H8Lz+W52s/njYGXYc50Kp1S1y+VFD0cu/ePZz+5xTq1a8HqVQORb4JcmQFAXxmZibw/4PbL4aEiCacA4Dc3HxkZlZcWG9v7446dXzx8GEMACA0NAx37z6Gp2dNnftkZmaK8hkHB0c0adKkrLta4ZgfavL09ERAQACuX78OoGCALfPD8hcQEABPT0/ExcUBKCj8fOutt1C/fv0K7ln5279/PwYOHCh6T9Xmjz/+QG5urrCtbWUpMzMztG/fXviuKCYmBhcuXChyQIBCocCePXtElxVVlK0+eP33339HbGwsAMDV1VVrjunp6YlatWrhyZMnyMjIwM6dO4VCeKDowe2dO3eGjY0NsrOzAQD79u3DK6+8AhcXF737EREREZFhFAoF8vNyAW25Culnag5YWBXdjoi0qoxZsz4veq2qvb09unTpgr///hsAa1VZq1r5sVaVqoqrV6+KJoWtV68epk6dCqCgbnb+/Pl45513kJycDAD49ttv0bhxY9StW7dC+lsRTCu6A0RERET04pLLgdxcQCaTVLmf3FxUuYH5Dg4OGDFihPBjyKoRpenBgwcaKw7pExMTI5pVr2ZNcSFjUlKSUCRlCJlMhsjISJ3Hq4zefPNN0faSJUv0zuIZHh6OVatWGX09CxYsQPv27YWfv/76y+hjFGX06NHC7wqFAt98842wWpQ2a9asEc1S+O6772qsBqxu6NChottR0cFpYSG0oS5evIhNmzaJLhsxYkRpdqnMderUSfQ64+vrWyrHHTt2rGh7/vz5ePDggVHHuHv3rvAFhCr1grw//vhD73HS09Mxd+5cUYFeZVFez4HmzZvD0tJS2N67d6/wu65iRXNzc9Hqafv27RN+9/f3h4ODg97r7Ny5s+hLrhMnTmjMmKvuwYMH2LBhg7AtkUjw6quv6t2nLI0ZMwaTJ08WtpOSkjBhwgTRSkbqVN+3DBEWFibaVn+vUy8mPnjwoN7j5eXlYd68eRqzxupTs2ZN0ReUN2/eNHhfIiIiIiKqWJU1P5QrZMiRZSNPkSv6iXn8ABnpGUI7F1cn0d8TkuMRm/BUYz9dP9l5maLszdXNRWu7fKU4GNZ3TCX+y7/ykW9wXwy9jt4DeorabfxpEx49fgCpXIqM3Fxk5sqQmStDVp4MWTIZbt65g4N/HNC8j+WmyMuT6Pz54Ye1GDnyFeHn5Mm/9bYvzs+gQa8L/VEqFdi8eQOkUt39+vnn7cJgSAAYMmQYJBKJ3nOM+WHFK6v8cMyYMaJt5ofaleVzwMzMDKNGjRK28/PzMX36dDx//tyo44SFhSEvL6/U+lURbt26hV27dult8/DhQ2zevFnYNjMz07mK2Ouvvy7a/uabb4RiR122b9+usYJ6URMNeHl5iTJY1dy3TZs2OvdTzYRVc19HR0f4+/vrvU4HBwe89tprwnZGRga+/PJLo/JIAKKVj4iIiIhIjUIGk7xsmOVL+WPgj0leNicEICqhypo168JaVc2ckbWqrFWt7FirWrEq23OgMkpKSsKcOXOEhRStra2xePFiWFn9N4GSi4sL5s+fD1PTgiHeOTk5mDVrlmhS1OqOK7cTERERUYWSSCRwdq5as+8rlfnIynoOQHfYQZpOnDiBvXv3YsCAAejVqxcCAgJ0rlpx9+5dfPXVV6JASX3FipiYGHz66afo3r07+vbti3bt2ok+8KlKSUnB119/LQoYta2AUdkEBgZiyJAhwuDDtLQ0jB07FiNHjsTw4cNRp04d5Obm4uHDhzh8+DD+97//QS6Xi2YOrCx69OiBJk2aICoqCkBBodHcuXPx5ZdfimYjzMvLw48//igKLWvWrIlhw4aVe59LasKECWjevDmGDBmCDh06iAYDq8rIyMCePXuwbds2UQjVqlUr9OjRo8jrWbBgAQ4dOiRsf/XVV+X+hUBZa9euHQYPHiysHp2amooxY8ZgwoQJGDJkiM77NicnB+fOncOhQ4dw4cIF7NixA05OTqI2AQEBcHR0FL6g2L17N2rWrInhw4drvEbdvHkTixYtwr1794RVyF9EFhYWaNGiBS5dugQAoiBNfXUfVUFBQQgJCdHYp6jVe4CCWSonT56MadOmCZfNnTsXKSkpeOWVVzQeq0uXLmHBggWiL6pGjhxZ4V8WjRgxAtbW1li2bBkUCgXS0tLw0UcfYcWKFVpn/J01axZsbW0xZMgQdO/eHR4eHlqPq1AocPDgQezcuVO4zMPDA40bNxa18/LyQv369XHv3j0AwMmTJ1G7dm2MHTtW40uZR48eYenSpQgNDYWpqSnMzc0hlYpXDtTGzs4Ovr6+Qqj/66+/okGDBujYsSNsbW2L3J+IiIiIiF5c2vLDQhKJKVzdXIXtmPsxWLd6vSg/7Nm3h6jNs6ex+GrqXHTs0h7denVFq6CWOjOEtNQ0rP9+E5IS/xss2KV7Z9HxCqmvrKGtjdBv0//WG7CystTbtjjX4ermir4D+uDYoeMAgMyMTKz+9gf07NsLLdq0R926daFQKhF9+xb+Pfs3jh8+hHy5HH4NGuJu9G3hODVq2MPV1V1nf9Rz16LaF0e/fkNx7NifuHOnYJK0yMhwbNv2Az7++EtYW/93f8hkedi2bR3++eekcJmrqzt69XqpVPtTHpgflp727dtj+PDh+PXXXwEwP6wogwcPxqlTp4Tc8MmTJ3jvvffw6aefok+fPjonoEhPT8eZM2fw119/ITw8HMePH4eFhUV5dr3UWFhYIC8vD2vXroVUKtVaDB0aGoq5c+eKssv33ntP52rlrVu3Rrdu3YTV2589e4Z3330X3377rUbeKZPJsHnzZmzbtk3Up08//dSg/gcFBQlFtcbkvr///rvGPq1bty5y9XoAGDVqFP7991+hCDsiIgKjR4/GpEmT0KlTJ53HSExMxKlTp3Dw4EHExcWJVlgjIiIiIjGJRAJ3AzMJAhKeJ6KKrXlDRGpYq2q8li1baq1VffPNN9G3b1/UqlULCoUCjx49Yq1qJVSeWXNwcLCwXR2zZtaqUmlQKBSYO3cukpKShMumTZumdUX2oKAgjB49WpgM9f79+/j2228xe/bscutvReLgdiIiIiIiKjeZmZnYt28f9u3bB3t7ezRo0AB16tRBjRo1IJFIkJKSglu3buHmzZuisLBr165aC2fy8/Nx8uRJnDx5EpaWlqhfvz7q168PR0dHWFpaIjMzEzExMQgNDRUNyPP09MTbb79dLre5pD777DM8fvwYoaGhAACpVIqtW7di69atWtt7e3tj2rRpeOedd4TLilqxqDyYmJhgyZIlGD16tDAj4bFjxxASEoLOnTvD3d0dSUlJuHDhAhITE4X9rK2t8c033+gMhErq448/Fu5bVYUz5RX65JNPtAbcAwYMwKxZs7QeW6lU4vz58zh//jysrKzg5+eHunXrwsHBAZaWlsjKysL9+/dx/fp1jVn26tSpg6VLl5bgllU/06ZNQ1xcnLACS3Z2NlasWIGffvoJgYGBqF27NmxtbZGbm4vU1FTcu3cP9+7dg0ymfzZtCwsLjB49GitXrgRQ8NgvX74c+/btQ1BQEBwdHZGeno7IyEgh8AYKnptLliwpuxtcyQUFBQlFqoWsra3RvHlznfvoKoA0ZHA7UPBe8Prrrwur/8hkMnz77bfYsWMH2rVrB1dXV2RkZOD69eu4ffu2aN8WLVrggw8+MOh6ytrLL78MGxsbzJs3D/n5+cjKysLkyZPxzTffaL2P7t27h5UrV2LVqlXw9vZGw4YN4ebmBjs7O8hkMsTFxeHatWsaq2B99tlnwoyeqj744APRJAHbtm3D4cOH0a5dO7i5uSErKwu3b9/G9evXhS8x3nvvPRw+fNjgWaiHDh0qPKeys7OFoNXS0lLUp+nTp6Nfv34GHZOIiIiIiF4M6vlh3bp14e7pBisbS9jVsENaahruRt/Dndt3Rflh+05tEdi6hcbxFAoFzp05j3NnzsPCwgK+9erAt14d2Nvbw8LSAllZ2Xj88DFuhEeKVgp2c3fDK28MLY+bXGLjPxqDZ0+f4UZ4wUpAeXl5OPLXYRz567DW9u4eHhg1/gN8NfVz4bLKkh/OmLEEn3/+PlJTC/LDM2eO4+rVELRr1wWuru5ISUnClSsXkJz8X35oZWWNTz+dWWYDYZkfVh3z5s1DbGwszp8/D4D5YUWQSCRYtGgRJk6cKAxUTk5Oxrx587Bq1Sq0bNkSNWvWhLW1NbKzs5GSkoI7d+4gJiamUq4+VBxNmzaFs7MzTp48iQ0bNuDXX39Fhw4dhNztxo0bovOkcB/VVe+1mTlzJu7evYunT58CAO7cuYNhw4ahRYsWaNSoEaytrREfH48LFy5orAo1adKkIldQL6Q6uF39cl3atGkDU1NTjddFQ3Pfwu+BJkyYgPj4eADA48ePMXXqVLi5uaFly5Zwc3ODlZUVsrKykJiYiOjoaDx+/Fj4v4CdnZ1B10VEREREREQvDtaqGk9breq2bdtEk+ipYq2qcZg1Vx2sVaWS2rx5M65cuSJsDx48GP3799fZfsyYMQgPDxf2CQ4ORqtWrTBw4MAy72tF4+B2IiIiIiKqEOnp6bhy5Yrow5s2nTt3xoIFC4o8nlQqRVRUlEZRkLratWtj5cqVVabQxdraGt999x2+/fZb0eo62rRq1QoLFy5Eenq66PLKslKup6cnVq5ciRkzZiA2NhZAwXmg63Y5Ojpi/vz5BhddFUd+fr5BRXPqAaLq/obIzc3FjRs3cOPGjSLb9ujRA19++SUcHBwMOvaLwtzcHCtXrsTatWuxd+9e4UuFrKws/Pvvv0Xub2JiorFCTqE33ngDt2/fFp2Ljx49wqNHj7Qe58MPP8SQIUNe6MBQW2FiYGCgzvsYAPz8/ODk5CQqrixcBd5Qn3/+OaytrbFjxw7hHIiPjxdmDdamc+fOWLRokd6+lbc+ffrAysoKs2bNQl5eHnJzczF16lQsWrQIXbt21bqPUqnEkydP8OTJE73HNjc3xxdffKFz1ueuXbvi/fffx5YtW4TL9N2Hr7zyCsaPH4/Dh7UPitDmtddeQ1RUFI4ePSq6XH3ld7mc890TEREREZFu6enpCA8PB8L1t2vbIQhTZ00p8nh5eXmIvnUH0bfu6G3nVcsL85fOhq1d5cjUimJlbYV5S2Zj3Zr1OHn0tN62jZs2w8TPpiAzI0N0uY1N5bit7u6emDfvOyxdOhPx8QX5YWZmBk6e1J4f2ts74osv5qN2bV8AZTMwlvlh1WFhYYGNGzdi0aJF2LNnD/PDCmJvb4+NGzdi6dKlOHbsmHB5amoqTp/W/xoFFBRAa5uwsSqZOXMmkpKSEBYWhqSkJNHqX+qaNGmCVatWwdzcXO8xHRwcsGHDBnz++efCxJ5KpRJhYWEICwvTuo+ZmRmmT5+OwYMHG9z3oKAgmJiYiIr6fX194ebmpnMfe3t7NGzYEDdv3hRdrm+1d3VeXl7Ytm0b5syZIxQNA8Dz589F55EuRd1/RERERERE9GJjraphWKvKWlUqwFpVKokrV66IFrCrX78+pkzR/z2mqakp5s+fj3feeQfJyckAgG+//RZNmjTRutp7dVJ5qnqJiIiIqELl5+cjMTGh3K4vOTkF2dlyyGQSKJVVazUGhaJq9beyePnll2FnZ4d///0XkZGRyMnJ0dnWxMQEzZo1w4gRI9CrVy+tbZo0aYI5c+bg33//xbVr1zRWolBXq1YtvPzyy3j99dfLbGbFsmJtbY05c+bglVdewaFDh4QVepVKJVxdXeHv748BAwagQ4cOMDU11Qg5KlM42qhRI/z8889Yv349jh49qhFuAoCVlRV69uyJjz76CC4uLhXQy9Lx3nvvISQkBDdv3kR2drbethYWFmjfvj1ef/11tGnTxqjrSUpKEn43MTFBw4YNi9XfqsDMzAyTJ0/Gyy+/jB07duDs2bPIysrS2V4ikaBhw4bo3Lkz+vXrBy8vL51t58yZgyZNmmDr1q2i+7SQqakpWrZsiffffx+tW7culdtTlTVs2BAODg5IS0sTLitqJR4TExMEBQWJihEDAgJgZWVl1HVPmDAB3bp1w4YNG3D58mWdwX2DBg0watQo9OzZ06jjl5cuXbpgxYoVmDZtGnJycpCXl4cZM2Zg7ty56Nu3L4CCFcf+/vtvXLp0CQ8ePBAVlaqzsbFBt27d8P7776N27dp6r3v8+PGoV68efvrpJ52D5Zs0aYK33367WPefRCLBmjVrcObMGRw4cAC3b99GfHw8cnJyqs0qXEREREQvmvLODsuUiQmk/78qRUZmOqDn/9nFxf/3Fo+x+WHDxg0w9NUh6Ny9k9Y2DRr647MvJ+Hyhcu4cT0SqSlpWtsVquldEy8N7IMhrwwqs1XAy4qVtRU+mz4JA4b0R/AfhxAZcQupKakwAeDs6opatX3QuXsPBLRsBVNTU8Q+eyrav7IMbgcAP79GWLNmB375ZQNOnz6CzMwMjTaWllbo1KkHRo/+CE5OLlX29Yn5YekrzA+HDBnC/LACWVtbY8GCBXj99dfx888/IyQkRGPSQ1Xm5uZo1qwZunTpgpdeeqnSFEEXl62tLdauXYutW7fit99+0/r9lYODA9588028/fbbBk/K6eLigs2bN+PPP//E7t27tRa8AoClpSW6du2KDz74ALVq1TKq7w4ODvD390d0dLRwmSErsLdt21Y0uN3b21vv80kbJycnfP/997hw4QJ27tyJsLAwvZNjWllZITAwEN27d0fv3r2Nui4iIiIiIqo41SprLgfMmouHtarFp16revXqVaFW1c3NjbWqlVR5Zc2qK92/KFkza1XJGElJSZg7d64wSYW1tTUWL15sUI2si4sL5s+fj0mTJkGhUCA3NxezZs3Cli1bjK6xrUpMlPqqYqnKKeo/SVWZiYkJHB0dARTM6MxTlwzB84aKg+cNFUdVPm8SEhKQmytHeS+cmZSUjOzsfMhkpnByci7fKy8F6enJsLNTok4dT7i7uxfrGFX5vCkpuVyOBw8e4PHjx3j+/DlycnJgYmICW1tbeHl5oWHDhkYHRU+fPsXDhw8RGxuLrKws5Ofnw8bGBm5ubvDz84OPj08Z3ZryV9S5s3fvXqxcuVLY/uuvv+Dq6lqeXTRIXl4ewsLCEBcXh5SUFNjb28PDwwOBgYGwsbGp6O6VGoVCgSdPnuDx48dISEhAZmYmZDIZbGxsUKNGDdSpUwcNGzYs1soiMpkMffr0Qe7/F+X36dMHCxcu1Nq2Or7m5Ofn49atW3j06BHS0tKQnZ0Na2trODg4oHbt2qhXr57RhZByuRw3btzA3bt3kZmZCTs7O7i6uqJp06Z6V6eprir7eZORkYGwsDA8f/4c6enpsLGxgbOzM5o3bw4PD4+K7l6pysjIwL179/Ds2TOkpKRAKpXC0tISDg4O8PX1hb+/v9FfiCkUCty+fRu3b99GamoqrK2t4ebmhgYNGhhd+Kqqsp83+jg5OVV0F6ql6pxZUvVWlV/PiIzF8510qajssEyZmMDBvmAFirT0tDIZ3A4AZmaAlZVZsbPDF11hfhgZGYln8U+RlZMJWztb2NrawMPTA/X968HJ2bj/v8c9i8PjR0/wPP45srKyoVAoYGVtBRdXF9St7wvvWsYNwquskhITkZWVjzyZBL51ClZzSM/IAPDfuX40+E/s3LpF2N6x4084O1e+/FAmy0NkZBgSEuKQmpqCGjXs4erqgWbNAmFt/V9+mJiYAAuLfNjZVc3nXGXJD6syXf+XYX5YOeTl5SEyMhJPnz5FWloa8vLyYGNjA0dHR/j4+KBu3bpVujhvwoQJCA0NBQC0bNkS69atE/4ml8sRFhYmZHo1atRA7dq10bJlS4MHtasrPN/v37+Py5cvIzk5GVKpFA4ODqhZsyZatGhRpe/PQjk5OYiIiEB8fDzS0tIgl8thbW0NFxcX1KlTB76+vi/Eiu3MK8uGsXklPzOTIXiekCF4npAhSvM8SUhIQH5uBszypXB3q3yf+yurhOeJkEssIbGqUSlzhqr6WlIts+ZyUpysuaqeJ2WBtaq6lcZ5wlrVyqUssubC8yQvLw9BQUHVPmvWhVmzfnzfeXGUdl7JlduJiIiIXnCmpqawsir//xbm5poCUEAmM4WtbdX7b6lUagpTU37wKi4zMzP4+/vD39+/1I7p7e0Nb2/vUjteVfb3338Lv7u5uVXKsBAomAGybdu2Fd2NMmdqagofH58yCa2vX78uhIUSiQTjx48v9euozCQSCZo2bYqmTZuW2jHNzMwQGBiIwMDAUjsmlZ0aNWqgS5cuFd2NclGjRo1SPzdNTU3RuHFjNG7cuNSOSURERETVS0Vlh2XJxMQENWoU3CaFwqxMiytMTU3L7NjVXWF+6ODggExpOvIUuXAtYRG2p5cnPL08S6mHVduViyHC705OLpVyYDsAmJtbIDCQ+WFJMD9kflgZWFhYoGXLlmjZsmVFd6XcmZmZGb0ClqHq1asHZ2fnalsoam1t/UJ8h0RERERE9KKojllzeWLWXHysVS1brFWtXMoya7527RqzZmbNRKWO/zskIiIiesFVZJBgZSVHXp4Erq6Vb4ZTQ1hY5Fd0F4g0hISECCuEAEDnzp0rsDdU1i5duiT8PmTIENSuXbsCe0NERERERETVTWUtQioJ1ZUDLC0tq+2AMCJdroeF4nZUlLDdokXZDLqkyoH5IRERERERERFVBtUxayZ60bFW9cVy/vx54XdmzURUWjh9DxERERERUSV36tQpKBSKItuFh4dj7ty5osteeeWVsuoWVQKXL18GAFhZWWHMmDEV3BsiIiIiIiIiIqoI586cNyg/jL51Ez+tXim6rGfP/mXVLaoEmB8SERERERERERGRoVirSroUDm5n1kxEpYkrtxMREREREVVyM2fOhJeXF3r37o02bdrAz88PdnZ2AICkpCTcvHkTx48fx/Hjx5Gfny/sN3ToUPj7+1dUt6mMZWRk4Pbt2wCA119/nTMcExERERERERG9oL6e/w08anqgS/fOqFe/DpxcPWFh6YD8/HxkpKfheng4Qv79Bxf/PSfKDzt16QEfn7oV2HMqS8wPiYiIiIiIiIiIyBjqtar169eHg4MDACAtLQ23bt1ireoLKD09HVFRUQCYNRNR6eLgdiIiIiIioirg2bNn2LFjB3bs2GFQ+8DAQEyePLlsO0UVqkaNGvj3338ruhtERERERERERFQJxMfGY//uXw1uX8/PH6++/nYZ9ogqGvNDIiIiIiIiIiIiMhZrVUmdvb09oqKikJqaCqVSWdHdIaJqhIPbiYiIiIiIKjlLS0tIpVKD2lpYWOCVV17BRx99BHNz8zLuGREREREREREREVU0S0sLSKV5BrU1NzdHz7790HvAAFiYW5Zxz4iIiIiIiIiIiIioqmCtKhERlScObiciIiIiIqrkjhw5ggsXLiA0NBTR0dGIjY1FRkYGpFIprK2t4eDggLp166JVq1bo27cv3NzcKrrLREREREREREREVE52/rYDVy9fw43wSNy+GY2E+ERkZ2VBLpfDysoatnZ28K5dG42aNEWHLl3h5OyMpKTEiu42EREREREREREREVUi2mpV09PTkZeXx1pVIiIqdRzcTkREREREVMlZW1ujZ8+e6NmzJwDAxMQEjo6OAIDU1FQolcoK7B0RERERERERERFVJCtrK3Tq2hGdunZEUmIisrLykSeTwLdOXQBAekYGAGaIRERlYd26dRXdBSIiIiIiIiKiUqFeq0pERFSWTCu6A0RERERERERERERERERERERERERERERERERERERERFT9cXA7ERERERERERERERERERERERERERERERERERERERERlTkObiciIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIqIyx8HtREREREREREREREREREREREREREREREREREREREREVOY4uJ2IiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIjKHAe3ExERERERERERERERERERERERERERERERERERERERUZnj4HYiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIqcxzcTkRERERERERERERERERERERERERERERERERERERERGWOg9uJiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiozHFwOxEREREREREREREREREREREREREREREREREREREREZU5Dm4nIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiKiMsfB7URERERERERERERERERERERERERERERERERERERERFTmOLidiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIyhwHtxMREREREREREREREREREREREREREREREREREREREVGZ4+B2IiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiKnNmFd0BIiIiIiIiIiIiIiIiIiIiIiIiIiKqnFJTUxEdHY2HDx8iNTUVSqUSDg4O8PLyQmBgIGrUqFHRXSQiIiIiIiIiIqIqhIPbiYiIiIiIiIiIiIiIiIiIiIiIiIgIAKBQKHDlyhUcP34cISEhiI6O1tnWxMQEHTp0wKhRo9CtWzeDjv/kyRP06tWrWH3z8PDA2bNni7UvERERERERERERVQ4c3E5ERERERERERERERERERERERERERACAfv364eHDhwa1VSqVOH/+PM6fP4+BAwdiwYIFsLOzK+MeEhERERERERERUVXGwe1ERERERERERERERERERERERERERAQASE5O1rjM19cXAQEBcHV1haWlJeLi4nDhwgXExcUJbYKDg5GQkIDNmzfD0tLS4OszNTWFiYmJQW3NzFj2SkREREREREREVNUx5SMiIiIiohKbMGECQkNDAQAtW7bEunXrKrhHxbdx40Zs3rxZ2A4JCanA3lRveXl5CA8PR1xcHFJSUmBvbw8PDw8EBgbC2tq6XPsik8kQExODBw8eIDk5GTk5ObC1tYWTkxMaNWqE2rVrl2t/iKjqad++vfD7mDFjMG7cuArsDRERERERUeVSnfLDndt2Y/eOvcL2X6cOVFxnqjmZLA+RkeFISIhDWloKatRwgJubO5o2DYSVFfNDIiKi8uDt7Y3XXnsNw4YNg6enp8bf8/PzsW/fPixduhRSqRQAcPnyZaxatQrTp083+HoWL16MV155pdT6TURERERE1VN1yppZq1p+WKtKVLX89ddfWLRokbD922+/wcvLqwJ7RGWFg9uJiIiIXnCJiYlQKBQVcr1ZWXLIZJJyv+7SkJycCEtLJezs3Cu0H8+ePdP6JX/r1q3xww8/GH28tLQ0DBo0CDKZTHS5v78/fv7552L3k0hVVlYW1q9fjyNHjiA9PV3j79bW1ujRowc++ugjuLi4lFk/YmNjcerUKVy8eBHh4eFCwY02np6eGD58OIYPHw4bG5tS7ceuXbuwZs0a0WWVKXhfsGABDh06pHH5unXr0LJlS6OPt2bNGuzatUvj8mXLlqFbt27F6iMRERERERGVjYrKDsuSiYmJkAGkpaVBqVSW2XWZmprC1dW1zI5vCOaHVBVlZ2fh55834PTpw8jMzND4u5WVNTp16oFRoybCyYn5YUVjfkhEVD15eXnhvffew9ChQyGR6P5OXyKR4M0334SXlxc+/PBD4fPDzz//jFGjRsHDw6O8ukxERERElVh1zJrLE7NmouJhraoYs+YCzJqJKg8ObiciIiJ6wSkUCuTn5QIKWdGNS/N6pVmAVA6lXAKF1LJcr7s0KGS5UJibV3Q3dLp27Rri4uK0zp6vz/HjxzXCQqLSdOvWLcyYMQOxsbE62+Tk5ODQoUO4cOEC5s+fj7Zt25Z6P7Zu3Yr169cb3D4uLg4//PADDhw4gPnz56NZs2al0o9nz55h48aNpXKs8nbo0CGjA8P8/HwcO3asjHpERJXBs2fPcOjQIVhZWQEAevXqhZo1a1Zwr4iIiIiouCoqOyxLJiaA3NwEAJCfm44yG9tuag5YWJXRwUuO+SFVVnfv3sbSpTMQH687P8zNzcHJk4dw5coFfPHFPNSq5Vvq/WB+WHLMD4mIqrbffvsNZmaGl5d269YNAwcOxJ9//gmgYCW6kydPYuTIkWXVRSIiIiKqQqpj1lxumDUTFQtrVcWYNRNRZcTB7UREREQEKGQwycvWO+N6aTNXSCFTyqFUSGCu0D0DXWWUn6+AiTIfQOUd3K5UKnH48GGMHj3aqP20zXhHVFri4uLw+eefIzk5WbjM3t4enTt3hru7O5KSknD+/HkkJSUBAFJSUjB9+nRs2LAB/v7+pdqX1NRUjctq1KiBgIAA1KxZEw4ODsjMzERUVBQiIiKENk+fPsWnn36K77//Hk2bNi1xP7755hvk5OSU+DgV4dSpU5gyZYowgNUQFy9eRGJiYhn2iogqWmxsLDZt2iRsN2nShIPbiYiIiKq6CsgOy5KJCSDJzwUAmOVLy2Rwe35+PpQWNgAqb8Eh80OqjBIS4jBv3udITf0vP7Szq4G2bTvDzc0DycmJuHLlAlJSCvLDtLQULFr0JWbOXAo/P59S7Qvzw5JjfkhEVLUZM7C9kOrgdgCi90giIiIiouqWNZcHZs1ExcNaVU3MmomoMuLgdiIiIiICAEgkEri7uZbb9ZmaAFlWcshkEjg7l9/1lobEpMr7YdfKygq5uQXFuUeOHDEqMIyJiUFUVJSwbWlpCanUsIkH1q1bZ1xHK7Fx48Zh3LhxFd2NakepVGLmzJmisLBv37748ssvYWNjI1yWl5eHH3/8EXv27AFQMDPmtGnTsGfPHlhaWpZ6vywtLdGrVy8MGTIEAQEBMDU11WgTHR2N+fPn4969ewCA7OxszJw5E3v37jUqLFN3+PBhhISEAABcXV2rTJBW+DqTlZWFs2fPom/fvgbvq/qlhOrrFREREREREVVu5Z0dliUTE8De3gEAYG1lUSaD2xOeJ0Je+octFcwPS+6tUW/irVFvVnQ3qh2lUomlS2eKBrZ369YHH3/8Jayt/8sPZbI8bNu2Dn/8UZAf5ubmYM2aJVi+fA3KogSG+aHxmB8SEb24fHzEk81UlfcuIiIiIio/1SlrLg/MmjVVp6yZtaplg7Wqmpg1M2smqqw0XwmJiIiIiKjK6ty5szCz6cOHD3Hjxg2D91X9IB8QEAAnJ6dS7x+9uE6dOiUKpIOCgjB//nxRWAgAFhYWmDx5MgYNGiRcFhsbi99//71U+2Nubo5XX30Vv/32G+bMmYPAwECtYSEANGjQAD/99BPq1KkjXBYfH4/9+/cX+/pTU1OxevVqAICJiQkmTZpU7GOVt65duwq/GzODbmZmJv755x9hu1u3bqXaLyIiIiIiIiIqGvNDqqz+/fcU7ty5KWwHBgZh6tT5ooHtAGBuboFx4yahd++BwmWJiQk4efJoqfaH+WHxMT8kInpxZWVlibaLs/o7ERERERFVDcyaqbJiraoYs2ZmzUSVGQe3ExERERFVIy4uLmjbtq2wffjwYYP2UygUOHr0v+K/AQMGlHrf6MW2detW4XdTU1NMmzYNJiYmOtt/+umnsLW1FbZ37NgBubz05qH98MMPMXXqVLi4uBjUvkaNGpgyZYroslOnThX7+leuXInU1FQAwNChQ9G0adNiH6u8DRz4X+Hw5cuXDZ7F88SJE8IMu+7u7mjTpk2Z9I+IiIiIiIiIdGN+SJXVnj3bhN9NTU0xceIXevPDsWM/hY3Nf/nhwYO/Iz8/v9T6w/yw+JgfEhG9uG7fvi3a9vT0rKCeEBERERFRWWPWTJUVa1XFmDUzayaqzMp9cHtqaiouXbqE//3vf9i4cSM2bNiAvXv34p9//kFGRkapXc+jR49w5MgRbNu2DVu2bEFwcDCio6NL7fjFER8fj+PHj+OXX37Bxo0bcfDgQURERFRon4iIiIio+lEN+44fPw6ZTFbkPleuXEF8fDwAwNLSEr179y6z/tGL59GjR7h7966w3a5dO9SuXVvvPvb29ujbt6+wnZycjLCwsFLrU3FWiggKChLNEnv79m0oFAqjjxMSEiIE9C4uLpg4caLRx6hITZo0EWYGzc/PF33ZoI/qzJn9+vXTGxgTERERERERUdlhfkiVzdOnjxET819+2LJlO3h56c8P7ezs0bVrH2E7LS3VqNWhisL8sPiYHxIRvbgOHjwo2m7fvr3B+x49ehRjx45Fjx49EBgYiHbt2uGll17Cxx9/jO3btyMhIaG0u0tERERERCXErJkqG9aqijFrZtZMVNkZ/wppJIVCgStXruD48eMICQnRO8DcxMQEHTp0wKhRo9CtW7diXd+ZM2ewbt06hIaGav17w4YNMXbsWAwZMqRYxy+O69evY9WqVbhw4YLWNxMfHx+88847eOedd/iCSUREREQl1rVrV9jZ2SEzMxPp6ek4d+4cevTooXcf1Q/yXbp0gZ2dXVl3EwAQFxeH27dvIz4+HtnZ2TA1NYWVlRXc3NxQq1Yt1KtXDxKJxODjpaen49atW3j8+DGysrKQn58PKysrODs7w9vbG35+frCysirDW/Sf/Px8hIeH4+nTp0hOToatrS28vLzQqlWrEvUhKSkJoaGhyMrKgkKhgJ2dHfz8/FC3bt1S7H3p+ueff0TbPXv2NGi/nj174vfffxe2z549W6EzKJqYmMDLywspKSkACh7j1NRUODs7G3yMnJwcLFu2TNiePHkyatSoUaqTvZWHAQMGYN26dQAKXj/eeustve2fPHmC69evC9v9+/dHZGRkifuRlZWF8PBwJCQkIC0tTXi+N23aFF5eXsU+bmZmJu7evYvHjx8jPT0dMpkMdnZ2cHZ2RrNmzeDu7l7ivqt69OgRbt++LRRmubi4IDAwkCuaGCAzMxNhYWF4/vw50tPTYWNjA2dnZzRv3rxUHyepVIqwsDAkJCQgOTkZlpaW6NixI3x8fErtOgwhl8tx9+5d3L9/H6mpqcjNzYWFhQXs7OxQs2ZN1K1b1+jbnZOTg3v37uHRo0dITU2FVCqFra0tnJyc0LhxY9SqVauMbg0REREREVWUqpQfPn/+HDduRSDheTwkElOYmJjCysoSLq4uqOldEz6+tY3KDzMzMnE3+h6ePXmGrKxsKBQKWFpawtHZAZ41PeFbzxdWVpZleIv+k5+fj6gbNxH7LA6pKamwsbGBZ00PNGvRrER9SEtNQ9i1m0hOSoejoxNcXF3h6uEJ70r8+e7ixbOi7U6d9J+PhTp37okjRw4I25cuXUKfPn1071DGmB/+h/kh80NVKSkpiIiIQGJiItLT02FrawsXFxe0aNHC4BWrDHHnzh3cu3cPz58/h6mpKXx8fNCmTRtYW1vr3EculyM8PBz3799HVlYWatSogfr16yMgIACmpiVfM6bw+M+ePUNKSgrs7e1Rq1YtBAYGFquwWVVMTAwuXryIlJQUSKVSODg4wNPTEy1atCi378LKUkJCAm7cuIHk5GRkZmaiRo0acHNzQ2BgIOzt7Uvteu7cuYOYmBgkJiZCJpOhbt266NKlS6kd/0Vy6dIlXLp0SdiuUaMGOnfubPD+f//9t2g7JycHqampiImJwfHjx7F8+XK8+uqrmDp1qmhFPSIiIiIiqjhVKWtmrarxkpKScO3aNSQmJkKhUMDd3Z21quWEWfN/mDUzay4J9ddHKysrNGzYsMj8NzMzE9euXcOTJ08gk8ng5OSE5s2bV+rXv6qqzAe39+vXDw8fPjSorVKpxPnz53H+/HkMHDgQCxYsMPg/KkqlEkuWLMGOHTv0trt9+za++OIL/P333/j6669hYWFh0PGLa+PGjVi1ahXkcrnONo8ePcLixYtx6tQprFq1Co6OjmXaJyIiIiKq3iwtLdGzZ09hZvzDhw/rDQyzs7NFxQKqs2kaasKECcIEUy1bthSCBF1OnDiBX375Bbdu3dLbzsrKCq1atcKbb76JoKAgne1u3bqFjRs3IiQkBPn5+TrbSSQSNGzYEIMGDcIrr7yitc3GjRuxefNmYTskJETn8YYOHYq4uDgABffbnDlzoFAosHPnTuzbtw/Pnz/X2MfS0hKvvvoqxo4dq7egSt3Dhw+xatUqXLx4UeukWU2aNMGHH36Itm3b4tmzZ6Lb99VXX2HQoEEGX1dpU5/Fsnnz5gbt17RpU0gkEuExLc3ZMIsrOztbtG1s8dn69esRGxsLoGBW0Iosti2Jfv36Yf369VAoFLh37x6io6PRoEEDne1Vv5Ro0qQJ6tatW6LAMCwsDJs2bUJoaKjO53y9evUwevRo9O7d26CJ5B48eIATJ07g33//RXR0tN6ZTuvXr4+RI0eif//+BhU46npdCQ8Pxw8//CAKU1W1bt0akydPhr+/f5HXUZauXr2KkSNHCts//PADWrdurbP9+fPn8fnnn4su+/PPP+Hm5qZzn507d+L7778HUPBafezYMb3FaTdv3sT69etx+fJlnedAgwYN8P7776N79+46j6NKdQWZMWPGYNy4cUhPT8e6detw7NgxZGVlaexTksHtcrkcS5YsET0/WrZsiWXLlmkUZ2ZlZWHr1q0IDg4WvrTQxd3dHV26dMHYsWNFM/iqio2NxYkTJ/DPP/8gKipKb25Vs2ZNjBgxAsOGDdObo6m+J6rSN+NvRb8/ERERERG9qKpTfmhpZYnmLZph6GtDENiqhc52d6PvYee23bh2WXeWAACmpqbwa1Afvfv1woAh/bS22bltN3bv2Cts/3XqgM7jvf/mOCTEF2SEvV7qgc+mT4JCocBv+w7g4K9/ITkpWWMfCwsLDBo2ACPfHQEra8MLD588eoqNP27GtcuhUCqVGn+v5+eHV0e+jWYBLfA8IQFTJn4g/G3y5K/Qu/dAg6+rtEVGhou2Gzc2LD9s2LApTE0lUCgKHtPSXLm9uJgfFmB++GLlh7qcPXsW27dvR1RUlNbXJQBo1qwZxo0bh3bt2hV5PF330/Hjx7F9+3bRqlyFbGxsMGrUKI0FR+RyOXbv3o2dO3ciNTVVYz9PT098/vnn6Nq1a5H90vYel5+fj+3bt2P//v1ITtZ8rXdwcMDIkSPx1ltvGfU6kZ+fj4MHD2L37t149OiR1jaWlpbo1q0bPvjgA3h7e+s8VkJCgmhxmKKyugcPHuDNN98UXbZx40a93/mcOnUKM2fOFLZ3796ttwBUoVDg8OHD2LVrF+7du6e1jUQiQZs2bTB+/Hg0bdpU57EKLViwQHiN8fT0xIEDBwAUrDC+c+dOjbpGf39/Dm4vhpycHMyePVt02ejRo0t1EHpeXh527dqFkJAQ/PTTT8LKbcVh7AJEqu25eBHpwvOEDMHzhAxRmueJiYkJTEwg/JBh/rvPTCrlc7WqvpbwfCye4p6PZXGeaDuOlZUVevXqhT/++ANAQdasbzCxtqxZ223T1+cJEybg2rVrAIBWrVoZlDX//PPPBteqjhw5ssha1Q0bNhhUq9qoUaMia1U3bdokbF+8eFHn8YYOHSrkhgMHDhTVqu7du1dnreprr72ms1ZV13ny8OFDrFy5Um+t6oQJE4Ra1WHDhgl/mz17dqWqVQ0ICDDoOdCsWTONWtWKfo1Vz5rNzc2N6pN61ly4Or2255u+45bn+462vvXv31+UNd+5c8eorLlevXqIiorSOK6htyU0NBSbN2/GtWvX9GbN77//vlFZ8/Hjxw3Omt966y2jsmZtryvh4eFYu3ZtkVmzvvtWn9I+T4w5T7W9L8hkMvz888/49ddfkZiYqLFPzZo1MXXqVI2JGdPS0vDDDz/g8OHDyMvL09gvICAAM2bMQL169XT2/Z9//sEXX3whZOJNmzbF+vXrYW5urv9GA5g1axZOnDghbH/00Ud49913i9yvKivzwe3aAnpfX18EBATA1dUVlpaWiIuLw4ULF0QFsMHBwUhISMDmzZthaVn0rOQrVqzQGNjeqlUrNG/eHBKJBLdv38b58+eFEyM4OBgSiQTffvttCW+hbnv27MHy5ctFlzVu3BitW7eGtbU17t27h7NnzwoFxBcuXMCnn36KzZs3G3TCEhERERHpMmDAAKE49fz580hLS4ODg4PWtqdOnUJubi4AwNnZ2aACouKSy+VYtGgRjhw5YlD73NxcnD9/Hh4eHjoDw/379+O7777T++G+UH5+PqKiopCVlaUzMCyJjIwMTJ8+XfiQrI1UKsXOnTsRHh6O1atXG1TUcebMGcyePVvrB+VCUVFRmDx5MiZOnGjwbJOFVAt7gNIfbBgTEyP8bmlpaXCxiY2NDWrVqiUUFj18+BBKpbLCQsOcnBw8e/ZM2La2tjZqdZCoqCj873//A1BwP3zxxRel3sfy4uHhgVatWuHKlSsACgJBXaGWUqnE4cOHhe3+/fsX+3rz8vKwdOlS0fF0uX//PmbPno3jx49jwYIFRc5CO27cOGRmZhrUj3v37mHhwoU4deoUFixYUKzirJ07d+LHH3/U+yXH1atXMX78eHz77bcGzQSrPrj4t99+K9GsoIVatGgBW1tbYXD3pUuX9A5uV12ZpdDly5f1Dn64fPmy8HuTJk303qc//fQTtm/frrMgtlB0dDS+/PJLdOnSBQsXLjR6JuLo6Gh88cUXiI+PN2o/Q2RmZuLLL78UnkMA8NJLL+Grr77SyIQePXqETz/9VOvAcW0SEhLw66+/on///joHt0+bNg137twx6HixsbFYuXIljh07hq+//lrvJAVERERERFR1VJf8UJorxZWLV+Hq7qpzcHvwH4ew/vtNBuWHCoUC0bfuIDsrW+fg9pLIzMzE4jlfIyJM9yDsvLw8/Lb3ACIjbmLhsrmwsbUp8rgXzoXgm4UrIJPJdLa5f/cuvl20AK+/9TbaduhkVL9XrlyIkyf/yw9LezD848cxwu+WlpaoVcuw/NDa2gZeXt548qRggOfTp0+ZH1YSFZkfzps3j/mhDmWVH6rLyMjAV199pbcgu9CNGzcwadIkDBs2DFOmTDF6QogVK1YIzxttsrOz8eOPP+Lhw4fCwNusrCxMnTpVGJCuTVxcHKZPn44ZM2aIBoAbwpDjp6WlYd26dTh79ixWr15t0OIvSUlJmDJlSpHF+FKpFMeOHcPp06cxffp0nd/3uLu7o06dOsJ3MJcuXdL73ZC23PfSpUt6B7er5r5ubm56B7YnJCTgiy++wO3bt3W2AQq+67t48SIuXbqE8ePHY/To0Xrbq5PJZJg9e7bGKuFUMvPnzxd9H1ivXj2MHTvWoH0bNmyI3r17o3Xr1vDz84OjoyOUSiUSExMRHh6OAwcO4OzZs0L7+/fvY9y4cdi7d6/ODLwoJVl8SNf/mYlU8TwhQ/A8IUOU9DyRSqWQm5tAkp8Le3uec4bKyc1DvsQKZjb2lX7Rwqr0WsLzsXhK43wsrfNEPRextLSEo6MjXn/9dWFw+4ULF6BUKnX+X/3kyZNC1uzq6op+/fpBIpGIBmxKJBK9t1U1OzAzM9PZVi6XY8aMGUIOXpTCWtXatWvrnHBy586dWLRokcG1qpGRkcjOzsb777+vtY16HqXvdqveRxYWFjA1NcUnn3yi9fN6IalUil9++QU3btzA5s2b9eYPhefJiRMn8NlnnxVZqzpp0iRMmTIF/fqJc3QbGxu9t+PLL78UrZC+dOnSUq3lffz4sfC7lZUVWrRoYVBe7OjoCB8fHzx48ABAQb2Wg4NDhWXN2dnZoqzZxsbGqEVYrl+/LsqaFy1aJDwu6s9lfc8jdWX9vqO+8IqDgwNq166Ntm3bChNdnjx5Em3bttW6v1KpxNGjR4Xt4cOHw9HRETY24u9ZbG1ti7zNeXl5+Oqrr4TXN33u37+Pr776CqdPn8aKFSuKXPhs3LhxyMjIKPK4QEHWvGDBApw9exYrVqwoMkfU9rqyZcsWLF++vMis+YMPPsCPP/6IDh06FNmvnj174unTp8L2yZMnhfOjNM4T9cfM3l73+6D6+4KZmZlowLs2sbGxmDp1KhYvXozhw4cDKLiv33//fb11mtevX8cHH3yAbdu26Zx4c/DgwYiKisKWLVsAAJGRkdiwYQNmzZql87gAsGvXLtHA9m7duuGTTz6p8Ik2ylqZD24v5O3tjddeew3Dhg2Dp6enxt/z8/Oxb98+LF26FFKpFEBBwL1q1SpMnz5d77FPnz6NjRs3Ctv29vZYs2aNxpMpKioKEyZMEE6ygwcPonXr1hgxYkRJb56GmzdvYuHChcK2hYUFlixZgsGDB4vaPX78GBMnTkR0dDSAghkx1qxZgylTppR6n4iIiIjoxREYGAhvb288ffoUcrkcx44dw2uvvaa1reqg5pdeegkSiaTM+rV161aNwtRGjRqhYcOGcHJygkQiQVZWFmJjYxEdHS3MGqjL1atXNSaU8vLyQkBAANzd3WFhYYGcnBwkJibi3r17uH//vkHBYnHk5+dj1qxZwofhWrVqoVWrVnBxcYFUKkVkZCTCw/9bgejGjRtYtWpVkR9WL1++jFmzZolW1bWxsUGXLl1Qp04dZGdnIyYmBpcvX4ZUKsXatWsNmiCsvMjlclHI5uHhYdQHbQ8PD6GwSiqVIjY2tkyK7Qxx6tQp4fMqUDChmqHkcjmWLl0qhEOjRo1CrVq1Sr2P5WnAgAFCceqxY8fwySefaH39CA0NFZ7LZmZmwgygxpJKpZg0aZJodlVTU1M0bdoUDRo0gIODA6RSKWJiYnDlyhXhsTp79iymTJmCNWvWGPz65uPjg7p166JmzZqwsbGBUqlEamoqoqOjRasM/fvvv5g/fz6++eYbo25LcHCwsEq5ra0t2rRpg1q1asHc3BxPnjzB+fPnhZlXC1c72bNnT4V9KWlmZoa2bdvi9OnTAApelyZMmKCzvWrBoupluga3y2Qy0eujvtmPv/vuO+zbt090mbu7O9q1awdXV1dkZGTg+vXrQs4CFMyEOWnSJPzwww8GF8empaVh2rRpwsD2+vXro0WLFnB0dERaWhpu3rxZ7NAwNjYWU6ZMwf3794XL3nvvPXz44Ycax8zLy8PUqVNFgamNjQ0CAwPh4+MDW1tbyOVypKenIyYmBtHR0VpXmNfH09MT9evXh5eXF2xtbWFqaor09HTcu3cP169fF163IiMjMW3aNGzYsEHrpIxmZmaQSCRQKpWi91pTU1Od95Uhs8kSEREREVHZqEr5Yd16deFTtzY8PT1gKjFFdnYO4mPj8eDeA8THJeg93vXQCKxbvUF0mUdNDzRp2ggubq6wsDBHbk4ukpNTEHP/IR7FPCrD/FCBZfO/FQa21/SuieYtmsHJ2RF50jzcvhWNqIibQvvbUbexad0WfDr1Y73HDbsWjmULlovyQ0srSzRq0gx+/g2Qr8jHwwcPcON6OGR5edj78w5YWFSu/DA+/r/80NXVuPzQzc1TGNyel5fH/LASqYj88P333xdNJsj8sPylpKRgwoQJokGu5ubmCAgIQP369VGjRg1kZ2fjzp07CA0NFc7533//HVKpFHPmzDH4unbs2CEU6To5OaF9+/bw8PCATCZDRESEaBWi4OBgtGzZEgMGDMDMmTOFged16tRBq1at4OTkhPT0dFy8eFEoglYqlVi+fDlatGhh1ArRS5YsEY7v7Ows9CszMxMRERGiwemRkZGYNGkSfvrpJ70LoaSlpWH8+PGiglETExM0b94cjRs3hrW1NeLj43HhwgVhJXqZTIZFixZBKpUKBZrqgoKChO9gLl++rHeCEF2575gxY3T2W3UffRMwPHr0CB999JFolTlra2u0aNECvr6+sLW1RWZmJqKionDjxg0olUoolUqsX78ecrkc48aN03lsdStXrhQGtjs4OKBt27bw9PSEQqHAkydPtC7kQ/pt375dNDDBwsIC3377bZHfVzo6OmLPnj1o2bKl1r/XqlULtWrVwsCBA3HmzBl88cUXSEtLA1AwIfaiRYuwYsWK0rshRERERERULG3atEHt2rXx+PFjyGQyBAcH4+2339ba9sCBA8LvgwcPLtOs+ccff9QY2N60aVM0bdoUzs7OQq3qkydPcPPmTdFnbm1CQkKwYMEC0WWFNaKenp6wtLREVlYWnj9/jujoaNy5c6fMsma5XI7JkycLA9vr1KmDtm3bwtXVFVKpFOHh4bh69arQPiwsDEuXLsXixYv1HvfChQuYPHmyaBJV1VrV/Px83L9/H+fPn4dUKsW3335r9GIjZUkmk+HJkyfCtqenp1FZs5eXlzC4PTc3F0+fPq2wjPbo0aOirNmYSYflcjlmz54t5G4TJkwwamB8ZTRs2DBhcPtff/2FadOmaX39uHz5svBcNjc3x8CBxZukV1fW3KJFCzRu3BiOjo6QSqW4d+8eQkJChEk7Tp48iQ8++ABbt241+PXN19cXfn5+8Pb2hq2tLZRKJZKTk3Hr1i1cv35dyJr//vtvTJs2DT/++KNRt+X333/HsmXLAAB2dnbo0KEDfHx8YG5ujkePHuHMmTNCvWF2djamTJmC4ODgYk8oWNGUSiU+++wzoZa/Xr16aNu2LZydnZGWloZz584JeahSqcTcuXPRsmVL2NvbY9SoUUhISBAe6+bNm8POzg5xcXE4deqUkLump6djypQpOHjwoMaEDIWmTJmC0NBQISfesWMHgoKCdH7/ERUVhaVLlwrbnp6eWLZsWbUf2A6Uw+B2Ly8vvPfeexg6dKjeJ6ZEIsGbb74JLy8vfPjhh8Kb+M8//4xRo0bBw8ND635KpRLfffedsG1iYoIff/xRayF0kyZNsG3bNrz88svCi/zatWsxdOjQUn9DXblypejL44ULF2oMbAeA2rVrY/v27Rg0aBCSkpIAFJyw77zzDtzd3Uu1T0RERET0YunXrx82b94MADh8+LDW4tTY2FjRyhH6VtUtqdzcXOzatUvYrlWrFpYsWaJztRagoJjl2LFjOv9eOKsZUDDb3OzZs9GrVy+d7VNSUnDmzBmtBTglderUKchkMjg4OGDGjBno3r27RptLly5hxowZQhDw119/4b333tMZgGVlZWHx4sWizxZ9+vTBF198IRRSpaamQqlUIikpCUuWLMG///4rFL1VBklJSaLZ/oz9nKPePiEhoUKKU2UyGXbs2CG6rHfv3gbv/8svvwirJPv6+uoM8KuSHj164Ntvv0VOTg6Sk5Nx8eJFdOzYUaOdagF8p06dil1guWLFCtHA9p49e+Ljjz/Wej4kJyfju+++E2YxvHr1KrZt26a3yK5Zs2bo0aMHOnXqBFdXV53tnj17hu+++w7nzp0DUFD8evz4cZ0z9mrz9ddfAwDeeOMNjB8/XmPlppSUFNFkGSkpKdi7dy/Gjx9v8HWUtg4dOgiD22/duoX09HStK48lJycLg7YlEonw/FcNetVFREQgJydH2NY1uP3s2bOige3m5uaYNGkShg8frhHiXbx4EQsWLBCylvDwcKxfvx4fffSRITcXv//+O/Lz8+Hp6YnZs2drXale32p4uty6dQtTpkwR+iWRSDBt2jS8/PLLWtufOHECjx49ErYHDx6MyZMn61ztSy6XIywsDAcOHNA7kL9u3boYOHAgunbtqvc1NTk5GevWrcOff/4JoGAyx927d+Pdd9/VaLt//34ABc831ft57dq1RhXzExERERFR+akK+eHUqVPh7u2KPEUuXN00P68/ffIMZ06e1bi80J6f//scaWllic+mfYrO3XWvWp6WmoYL5y4i7GpY8W6EHufO/Au5TA57+xr4eMpH6NilvUabsKvhWDJvGbKzCgatHj98Eq+9ORw1vWtqPWZ2dg5Wf7NWlB+269gWr745AuaW9vCtU7BCbnpGBlJTkrF53Q8Iv3YVe3ZsK/XbV1wpKeL80NXVuPzQxcVNtM38sPIo7/xw4cKFogyK+WH5UyqVotWbTUxMMGzYMIwdOxbOzs4a7Z89e4bFixcLxdaHDh1CmzZtDH6v2bBhA0xMTDB27Fi88847GoWEp0+fxpw5c4Qcb9OmTUhNTcXFixdhZ2eHmTNnomfPnqJ98vPz8dNPP+Hnn38GUDBpxpYtWzB//nyD+hQZGYm8vDyYmJhgzJgxGDVqlEZOd/XqVcybN08YyB0ZGYlt27bpHaC9ZMkSUZG9n58fvvnmG3h7ewsFroX93bRpk+j1aPXq1QgICIC/v7/Gcdu2bSvkeikpKbh7967WdnK5XPT/AVNTUygUCty4cQM5OTlaV6OKi4sTFZTryn2lUilmzpwp3B9mZmZ49913MXLkSK0rUd25cwcLFiwQXjO3bt2KVq1aac1w1T1//hy//fab3vOmOLnvi+zIkSPCa1ahBQsWoFmzZkXua2dnp3Ngu7pu3brhxx9/xHvvvSf8vyc4OBgffPCB3u+adSksRjaUiYmJ8P6UlpYmet4RFeJ5QobgeUKGKM3zJC0tDfm56TDLl8LaSvvAG9KUkZEOuUQKiUxZqRYYKVRVX0t4PhZPcc/HsjhP0tPTRdtSqVT4v/VLL72ETZs2AQB+/fVXDBo0SGP/2NhYUd1mz549hf1VB4Hn5+fr/T+7ahYql8u1ts3NzRXVltaqVQtLly41uFZV2zHXrFkj/G5lZYU5c+YYVKt66dIlnbencEBsIX23W/U+OnLkiFCrOnPmTJ21ql9++aVQq/rrr7/izTffFNWqqp4nz549w5dffin6XFxYq6qe1yUlJWHx4sX4999/hUGzhbKzs/XeDvUV4Ytqb4z4+HjR+eHm5mbUsdUH8969e7fIVbLLgkwmw7p160SXde3a1eDbsm3bNmFyRV9fX7z66quifdWfy7qeR4XK831H/fxIS0uDQqFAu3btYG1tLSx2duTIEXTqpPldz969e4XfO3bsCBMTE6SmpgoThRbKysrSe5uXLFmikTV/8sknOrPmFStWCFnzxYsXsXLlSowdO1bn8Zs2bYqePXsanDX/888/AAoGz//vf//TmzWrv67Mnj0bwH9Zs/o5nZKSgpkzZwpZc1JSEjZs2IAPPvhA53UA0Ji8Q3Ul+tI4T9Qfs/T0dJ2PmerzPjQ0FHK5HHZ2dvjqq6/Qo0cPUduPPvoIP/30k5CfymQyrF69GllZWUhISED9+vUxb948jfeLiRMnYubMmcKkIg8ePMDu3bt11n0CwPz58/HOO+8IkzXOmDED3t7e8Pb2FrXLzMzEJ598Ipz/EokECxcuFM7fysbR0bFUj1fmyyP99ttvGD58uMEzTnTr1k00M4ZMJsPJkyd1tj9x4oRoNa6XX35Z7wpfdevWFX0Z9fz5c2EW39ISFRWFM2fOCNtBQUEYOnSozvbOzs74/PPPhW31/0gRERERERXHgAEDhMF+UVFRwoyCqg4fPix8gPT399dasFJaCgtcCn311VdFFhv4+Phg7NixWj/kFw7gK/Tuu+/qDQuBgvBp6NChRc5AWRwymQw2NjZYt26d1rAQKCgSmjp1qrCtVCpx+PBhncf89ddfRav19uzZEwsWLNBa3Ofi4oJly5ahTZs2GgFPRVIPGGxsbIzaX7296jlUnrZs2SLM1gcUzHZqaDHio0ePsHXrVgAFQd/06dP1rsBSVVhbW4uCn+DgYI02ubm5OHXqlLBd3AL4q1evimbSffPNN7FkyRKdhcrOzs5YtGiRaJbDnTt3igI0datWrcLLL7+sNywECibx++abb0ThqGooagiZTIZx48bhs88+0zpI2cnJCV9//bUoBFIt8q0IqoXHCoVC52D1wtV9gII8pPD+fP78udb3ocJ9CllbW6N58+YabRQKBVatWiW6bN68eXj11Ve1zk7Zrl07rFmzRvQasmvXLjx79kyjrTb5+fmwt7fHunXrdBZFGvs8PnfuHCZMmCAMbLexscGKFSv0Bpyq942Pjw9mzJihc2A7UFD42aZNGyxatAiNGjXS2W7BggUYMWJEkcX+zs7OmDVrlmhlp/3794sGHRARERERUdVVFfLDevXq6d3Hu5YXRr43AiPfG6HxN7lcjhvXI4Xt194crndgOwA4ODqg36C++HLuNCN7XzS5TA5rayssXblY68B2AAhs3QIffvLf4EalUolTx//WeczgA4fwPOG/VW47de2ICZPGwdZO87Ojo5MTJk37Ek2aB1SqgXu5ueK8z9rauPzQ2lp8W5kfVh7lnR+q1v4wP6wYwcHBwgpKAPDZZ59h2rRpWge2AwX31erVq0WDWzdt2mRw9lS4StmYMWO0rpDTo0cPjBw5UtiOi4vDjz/+CDMzM6xevVpjYDtQUDj40UcfiTLKv//+W6MoVJfC72cmTJiAsWPHap2AsnXr1hrZ5Y4dO4TcUN3Vq1dFdWheXl7YsWMHmjZtqtHWwsICEydOFA2Uz8vLw+rVq7Ueu3Xr1qKavsLiTHVRUVFCMbyvry8aN24MQHPQuyr1Y+mq59uxYwfu3r0LoGDQ/JIlS7QW2hby9/fHunXrhEmgFQoFNm7cqLWtusJz6/PPP9d53lSH19/ycuHCBXzxxReiYuYpU6Zg2LBhZXJ9bdq0EWXVRX3Pqo9SqTT6pyT78ufF+eF5wh9Dfnie8MeQn9I9T8CfYv9U/LlQPudIef5U9GNalX8qx3mi6//W/fv3F2XN9+/f19j30KFDwjEKs2Zdxy7pbVNfaOOrr77SuD71n9q1a2PMmDEYM2aMxt9kMplGrWrPnj31Hs/R0REvv/wyFi9ebPB9aujtVq1V7datm9a2QUFBGrWqhY+BtmP+73//01qram9vr7GPs7OzzlpVY8+j0jw/C7OLQtbW1kbtr16rmp2dXar9M/Rn8+bNWrNmQ/Z9+PChMB6xMGs2MzMr8WNQFo+XMeeHlZWVRtasvl9OTo5G1lyc23zlyhX88ccfQtvCrLlmzZpa2zs5OWnNmtPT03Vex6pVqzBkyBC4uLjo7UvNmjWxbNkyUda8Z88eo+5D9axZva2jo6PWrLk4j1VpnyfGnKeF5HK5kP92795do52pqSkmTpwoyn+PHTuGf/75B15eXli3bp3W9ws7OzvMnz9flNcXfoeq68fd3R1z584V3h8zMzMxc+ZMSKVSUbvFixeLJgmdMGECmjdvXi7Pt5I+LqWhzAe361slShfVwe1AwQpeuhw5ckS0/dZbbxV5/BEjRoiCefVjlJT68VS/KNFl8ODBohXPSrtPRERERPTi8fb2RkBAgLCt7ct91WKn/v37l2l/kpOTRduFhS/FlZqaKipwKunxSsO4ceOKLLjt27cvXFxchO0bN25obadUKnHgwAFh28bGBlOnTtU6iLOQmZkZZs6cWazPYWVFvZhUW6GQPurtK6I49fLly9i+fbuwbWJigmnTphl0PyuVSnz99deQSqUAgEGDBhm8CkVVoPq6ce7cOWRmZor+fvr0aWGCAwcHB62zZRqicJUcAKhfv77Bq29//vnnwoox2dnZOHr0aLGuX52pqalo0o0bN24IsysaokGDBhg9erTeNvb29qJ8JC4uDomJicZ3tpT4+/uLCndVB12rUr28bdu2aNOmjbCtqzBSdZ/AwECtz61z586JBqb37t27yAlN6tevLyrizM/PF1YhMsTEiRNRs6b2lfGMtX//fkyfPl14DXNzc8P69evRvr32wQyFVN87GzRoAFPTMo/ytHr//feF605ISBBWRSIiIiIioqqtuueH6WnposFW/g39SnS80vDWqJGoU9dHb5tuvbrCyfm/FWJuRd3W2k6pVOJI8DFh29rGGhMmjS8yPxzz4URIKlV+KJ4c09yc+SHzQ+OprlLt5+fH/LACKJVK/PLLL8J2hw4d8Prrrxe5n5mZGaZNmya8dj179kw0QF6fJk2a4I033tDbRn0xEoVCgREjRmgdGK5KdUJKqVRqVB7WsGFDvP3223rbqC/OIpPJRBO8qtq3b59oe9q0aaLvmbQZNWqUaILpK1euCAPIVdna2orebw3JfYOCgtC2bVth25Dc19fXF25ubhptcnNzRZnt0KFD0bVrV63HU2VnZ4fJkycL22FhYbh//36R+wFA8+bN8dprrxnUlnS7fv06Jk6cKBrEMGbMGIwfP75Mr/fVV18VbV+4cKFMr4+IiIiIiAxT3bNm1qpqYq1q2WDWrBtrVQu8CFlzSb3xxhtF5r+quXHhd4lTp04Vje1V5+TkhG7dugnbN2/eLHKi1o4dO+Kdd94Rtm/duoU1a9YI2/v27RNNytCpUyeDxkZXJxVTEVsEHx/xl7m6nhByuRxnz54VtmvWrCn6D5EuHh4eCAwMFLZDQ0M1/vNSEqonlbm5eZHF1gBgaWkpWt0xNjYWUVFRpdYnIiIiInoxqa5ycuTIEVEx5/Xr14WZviQSCV566aUy7Uvhh/ZC0dHRlep4JWVubq539d1CEolE9LklJiZGa7uYmBjRQM4ePXroXN1ElZeXFzp06FB0h1XMmTMHISEhws+gQYOM2l8f9Zk5jV3xQj0wLAzeysuTJ08we/Zs0XNn5MiROldyVnfw4EFcu3YNAODo6IiPP/64TPpZUVq3bg0PDw8ABY/NiRMnRH9X/aKiT58+xQqzk5KSRMWMw4cPN/g4jo6OosHVV69eNfr6dalfv75oOzIyUkdLTa+88opBg5TVw2VdrxeFDhw4IHouF7Uqt7FU70tdRY6qK7oHBQWJVuPRtk9WVhZu3ryp9TpUqeY/QMGMqIYYNmyYaFZd9ePoYmNjg379+hnUVh+lUonvv/8ey5cvF4JMPz8/bN682aDVDlXf6+7cuSN6LSpPLi4ucHL6b2CFri+7iIiIiIio6qnO+aGVlZVo+95dwwa9lRUzczO8NKjolbwlEgkaN2skbD959ERru8cPnyA+Nl7Y7tSlAxydHIs8vpuHBwICjSto++yz2fjrrwvCT+/eA4veyUDq+aGx+ZF63sj8sHJhfvif6p4fRkVFia7fkIHtherWrSu6vwx9HAxZHbpmzZoa36288sorRe7XrFkz0faDBw8M6hMAvPbaawY9fkOHDoWlpaWw/ffff2u0kclkovPb19fXoO+AJBKJRob6zz//aG2r+hwICwuDTCbTaGNs7qtUKkX76Mp9z507JyrGNea8adeunajY1NDzxpDHn/SLjo7GuHHjhIJxoOC8nzZtWplfd7NmzUTv/arfpRIRERERUcWqzllzda9VvXfvHmtVwVrVyo5Z83+qe9ZcUobkf+qD3z09PQ16PVPNjXNzcxEbG1vkPh988IFoHPP+/ftx4sQJ3Lx5E99//72oD3PmzNE7sUh1VCkHt2dlZYm2db0QREdHIz09Xdg2ZkYR1bb5+fnCC3hJpaWliWbrbdKkieiLCEP7BOguFCciIiIiMlTv3r2F/48mJCSIPiyrzoTZrl27Ild5KKnGjRuLPnDNnz+/RBM62draok6dOsL2li1bcPz48Qob+NeoUSPRAEp9VFcCzsjI0NpGPXxo166dwX0xpm1ZUw/8tBVF6aMeOBr6+ao0JCcnY/LkyUhNTRUua9euHSZMmGDQ/klJSVi7dq2w/cknn8DBwaG0u1mhTE1NRQOAVQPChIQEUfGa6hcYxggLCxNtq4Y8hqhdu7bwuyGr62RnZ+Pw4cNYtGgRRo0ahcGDB6Nnz57o1KmT6KdHjx6i/RISEgzuU6tWrQxqp75quGoGUhFUCxafPHmiUTT26NEjxMXFAQCcnZ3h5+cn2ic0NBRyuVy0z9WrV0WzV6qu+KMqIiJC+N3FxaXImTULWVlZiULHJ0+eICUlpcj9mjRpojEIwlhSqRSzZs3Czp07hcvatm2L9evXw93d3aBjNGnSRPj94cOHWLx4sVEzrxZFJpPh77//xrJlyzBu3DgMHjwYvXr10jjfO3XqhKSkJGG/58+fl1ofiIiIiIioYlX2/NCYlXLV2djaoJZPLWF7z459OHv6XIXlh37+9TWKIHXx8Pjvc2NmRqbWNrdvigsoW7YJNLgvzVsY3rasqeeH6tlBUdTzRuaHlQvzw/9U9/wwNDRU+N3ExAQtWrQwan/Vx8HQAnFDr0M1i3NzczOo0FI9v9P1XY42hq4KZWtrK3qs7969i9zcXFGb27dviwqpDVnVvFC3bt1EhauqGasq1Qw3NzcX169fF/09JydHmOxSIpGgdevWaN68ufCedv/+fVF2WHhbVHNYXbmv6nnj6OgIX19fA25ZAVNTU9Fjaeh5Y+jzi7R79OgR3n//fdF7X79+/bBgwYJyuX5TU1M4OjoK24bk/UREREREVD4qe9bMWlXd+UZ4eLhom7WqBZg1Vy7Mmv9T3bPmknBzc4O3t3eR7dTz34CAAIMGlavvl5mp/Ts8VRKJBAsXLhQtLrR06VLMmDFDeJ0yMzPDokWLqt3z1hDGT0NRDm7fvi3a9vT01Nru3r17ou3GjRsbfB2qxcFAQdBeGkqzT+rHIiIiIiIylq2tLbp27Yrjx48DKPgwHxQUBKlUipMnTwrtivtB3hiurq7o06cPjh07BqBggOH7778Pf39/dOzYES1btkSzZs1gZ2dn8DHffPNNfP311wAKyhIF3gABAABJREFUBhHOnj0b33//PTp37oxWrVohICDA4AGEJeXm5mZwW9UiVtVVDVQ9ffpUtK0+854+xrQta+oFu+oBYFHU2xtaAFxSWVlZ+Oyzz4QZY4GCz2xLly41eCbG5cuXC4Fwq1atMHBg6a1oVZkMGDAA27dvB1AQdD99+hTe3t6iGXh9fX01PvMaSr0g7Z133jFqf9UvEfQNCpbL5di7dy82b96s83mpjzFhnqGvF+rne05OjlF9Km2qRY5AwaR8qrMAq07S16ZNG5iYmMDd3R116tTBw4cPkZWVhaioKNGMwJcuXRJ+d3Jygp+fn8b1KpVK0XOxQYMGRvW7YcOGove8hw8fioJCbVS/kCqOtLQ0fPzxx6KC0cGDB2P69OlGzQo7ePBg7NixQwhBg4ODceLECQQFBaFt27Zo0aIF/Pz8IJFIjO7jX3/9hR9++KFYxX9VNbwmIiIiIiJNlT0/nDJlCurU8UHzVs0Q1D4IjRo3gK2drcHHHPrqYKz9bh2Agpzpm4XLseUnF7TtEITmgc3QuGljuLqVbSFlIRdXw6/Hyvq/CddycnK1tomLjRNt16ln+GfZWiX83FuarK3FRZgyGfPD6qa888O3337bqP2ZH5YO1cdBqVSiT58+Ru2v+jgYel8Z+v2P6v1U1vetm5tbkdmjqgYNGuDChQsAChZnefz4Mfz9/YW/P3r0SKO9oWxsbFC7dm08fPgQAIR/1QUEBMDKykoYWH/58mXRimChoaFCkWWTJk1ga1vwPtyiRQuEhIQIq7SrrrqnmvtKJBKdRbSq501qaqrBEwMUUp041ZDzxsrKSljhi4wXHx+PUaNGiSY/7datG5YvX27QCmClRXUSiPIcaEBERERERPpV9qyZtaq6a1UfP34s2matqvbjlRVmzYZjrWqB6p41l0Rxb29x9zP08XNzc8O8efPw2WefQaFQICsrS7Q4+MSJE0Wrwr9IKuXg9oMHD4q227dvr7Wd+oB0Q2bWLaQ+o0RpDW4vzT49ePCgVPpERERERC+2/v37C4Hh6dOn8cUXX+DcuXNCkGFnZ4cuXbqUS1+mTZuG2NhY0WC/O3fu4M6dO9i+fTtMTU3h5+eH1q1bo1evXkV+UBs6dCju3r2L/fv3C5clJCTgt99+w2+//Qag4P/ZrVq1Qrdu3dChQweYm5uXyW0r6Qq/6tRnybS3tzd438o0c5v6DKHGBjHq7csjMMzNzcXUqVNFE6/5+vriu+++M3jG07Nnz+L06dMAAHNzc0yfPr1M+loZ1KlTB02aNBFmtz106BDGjRsnmnG3JF9KqM5GCoiL1Yyla5ZEuVyOuXPnir5IMZYxYXhxz2OlUlms/UqLh4eHMFAd0D+4XXUlnqCgINE+qoPbtQ2IV5eVlSV63I2dvdnZ2Vm0bUi4a8yXV9qovi8BwKhRo/Dhhx8afRwnJydhls7C81cqleLcuXM4d+4cgILX2YCAAHTo0AG9evWCq6trkcddtWoV9uzZY3R/Chn75Q8REREREVVulT0/fPjwER4+fIS/fj8EU1NT+Narg4CWzdG5Wyc0atJQ7/H6DXoJMfcf4q8D/+UUic+TcOjgERw6eAQA4OHpjuYtmqF953Zo3bZV2eWH1qU7+CozI0u0XaNGDYP3tTOibVmzslIvBMrS0VK7nBxxe+aHlQ/zwwLVPT8sj8dBXXG+lzF0IKx6TmnofWvMwHZAM7tU/25Ifbs42WhhNqtrdTZzc3MEBgYiJCQEQEFmq5pl6st9VfdRHdyuuk/jxo115q3lfd4Y815JYsnJyRg1apRocu62bdtizZo1ZfZ/J21SUlJE53JZr/ZIRERERETGqexZM2tVtVOvpWKtagFmzZUPs+YC1T1rLoni5r/FfV015n5q164d3n33XWzbtk10eZcuXTBy5MhiXX91UOkGt1+6dEk0e2uNGjXQuXNnrW3j4+NF27pWeNdGvW1cXJyOlsYpSZ/c3NxgZmYGuVxeqn0iIiIiohdbu3bt4OLigqSkJOTk5OD06dNCgAgAvXr1KrdZ7e3s7LBu3Tr88ccf2Lt3r8aKEwqFAtHR0YiOjsbu3bvRqFEjfPrppzpXdACAqVOnonPnzti+fTvCwsI0PijGxsYiODgYwcHBcHNzw5gxYzB06NCyuHmlSj18MCboLM8ikqK4uLhAIpEIIU9CQoJR+6t/xirr2U3lcjlmzpyJ0NBQ4TJPT0+sWbMGjo6OBh9nzZo1wu/vvvtuiVeBruwGDBggBIZHjhxBx44dERMTAwAwNTVFv379in1sQwsZDaErSNq9e7coLLSwsEDv3r3Rrl071KtXD25ubrCysoKlpaUo1FKdjK+qhnnGUh2ofuXKFSiVSpiYmEChUODatWuidoXatm0rfLFz+fJljBkzBkDB64HqakHqK8MXUv/iwNggsThfXBizuro2lpaWkEqlwnZYWBiysrKEVY2MERQUhF27dmHr1q04evSoRv+zs7MREhKCkJAQrFmzBgMGDMDHH3+s88ujEydOiAa2SyQSdO7cGZ07d4a/vz/c3d1hY2Ojcb4PHTpUyKpelPOdiIiIiOhFUdXyw/t3H+D+3Qc48L+D8GtQH2MmjEbzFroLDz/8dDyCOgThfzv3IzIiSuMzTXxcAuLjTuHE0VNwdnHGyPdGoN+gvmVy+0pT4Sq6hczMDf8sa25WefJDJydxfpiU9LyIPcQSE8V5I/PDyon5YfXPU0rzcVBd4aiqMbZYVD3rVF8RSXX1nuIcXzUbVT+WKtWB6rdu3UJGRoYwEFx1oLp67ltItY1MJkN4eLjWfdSV93kjkUhK7fpeJJmZmRg7dqxo0Z+AgACsW7eu1AdUFOXs2bOi7UaNGpXr9RMRERERkX5VLWtmrWoB1qoWYK1q1cCsufpnzdWZhYWFxmUdO3asgJ5UHpVqcHtOTg5mz54tumz06NE6C3/Vi3mNKRBWb2vsjCy6lKRPpqamsLKyEl4Mi9MnbSucVReqt606304qXTxvqDh43lBxVOXzxsTEBCYmEH7K83or5IpLg0q/Tf7/p3iHKfl5o20/9cvMzMzw0ksvYdeuXQCAvXv34u7du8LfBw4caNBx9PVR/bboa2tubo5XX30Vr776Ku7cuYOrV68iIiIC4eHheP5cXLh469YtfPzxx5gxYwaGDBmi85gdOnRAhw4dEB8fj8uXLyM8PBwRERGIiYkRfYh//vw5vv76a0RERGDOnDlF3pbSvN3GXof6KhY5OTnCih9FnTvqnyVKcp6WlLm5Oby9vYVwuDAANLQ/qgGjlZUVvLy8yuy2KBQKzJ8/H+fPnxcuc3Fxwdq1a+Hh4WHUsVRncNy2bZvGTHtFCQ0NRadOnYTtli1b4ocffjDqGOqK+5qj7XxVv6xv375YvXo1ZDIZnj59ihUrVgh/a9Omjdb7z5DjAuLiPlNTU5w9e7ZUQ3GZTIbt27cL24WPeb169fTuZ8zzzJjXlaL2K+/nsvp5ExQUJAxUT01NxZ07d9CwYUPcvn1bmMW3Tp06osn+WrduLXxxcOPGDeTk5MDGxgZXrlwRXVdQUJDW26eereTm5hp1P6gXhNra2ha5f0nv6xEjRiAmJgZnzpwBUDC4/ZNPPsGqVauKNWOxh4cHvvzyS0yePBmhoaEIDQ1FREQEIiMjRYPo8/Pz8eeff+LSpUvYuHGj1ufepk2bhN+trKywevVqBAYGFtkH1fvR2PO9qv3/mIiIiIjoRSORSET54Z49e3Dv3j3h7yVZ5aI4zMzMMHz4cAwfPhwXL17EldDLuH37Fu7deYCkxCRR27vR9zBryhx8PGUi+vbvrfOYrYNaonVQSzxPeI7wa9cRdeMmbkXexuNHT0T5YXJSMtZ+9yNuRd7C5OmfltltLA22tuLJ3HKyc+DgYNiKOjk5pVMfURrMzMzg6emNp08L8sPExHhhMj1DJCb+V3BoaWmJmjVrlkk/Ad354ffff290oWNZ5Idr16416hjlqU+fPjrzw9atW5eoUFS1ILowPyzpxIWqdOWHdevW1btfadUhVRWqj4Obmxv+/PPPCuxNxVHPIouSm5sr2lYfvK6ejRp7fNXzUF8NW5s2bYTf8/PzcfXqVXTv3h0pKSnC/wlsbGxEq9j5+fnByckJKSkpiI+Px6NHj+Dj44OIiAhRP1WPrU71vAkICMCGDRuMun1U9nJzc/Hhhx8iMjJSuKxBgwbYtGmTxneZZU0mk2Hjxo2iy3QtmkRERERERBWjMmfNd+7cwbVr13D9+nVcv35db63q4MGDdR6zffv2aN++vahW9caNG3prVdXHyVU2hRPcFcrOzjZ4cLW+yfTKm5mZmUatqjFZs3qtKrPmyqk8s+YzZ86US60qs+YXw9WrV7F582aNy9esWYPAwMAiz4PqqlINbp8/f74wWwYA1KtXD2PHjtXZXv3JqW32Al3UZ/spq8HtxvQJKOhXSQa3GzM7S1VWnEJwIp43VBw8b6g4qtp5I5VKITc3gSQ/F/b25dd3qTQPpqb5yJWaoIZdjaJ3qERycnNhKwOsa9jCwcGhVP4PVtzzRn2WOEtLS639GTFihBAY3r59W7jcx8cH3bp103psU1NT4XeJRKL3dqoWipmZmRl8nwQFBYlWbIiJicHp06exb98+YfZ/hUKBb775Bj169EDt2rX1Hs/R0RENGzbE22+/DQBITk7G2bNnceDAAVy4cEFoFxwcjG7duuHll1/WOIb6CgP6bovqfWRhYWHw7TbkOtSDsczMTK3ttJ07hQNMC9nY2FToZwV/f38hMJRKpUhOTkb9+vWL3C8zMxOPHz8WtuvWrSsM8C8Ls2fPFs0U6+joiK1bt6Jhw4ZGH0s1EC2cCdRYqvuZmpqW6mNozGuO+udaBwcH2NuLC6UdHR3RvXt34f4rnBkTAIYPH6617+qradva2mptpzo4V6FQICMjo8iB58a4cOGC6LX0iy++0DsDbyH155mVlZXOx8iY1xVV6q/xFf1cdnBwQM+ePUUz3EZERKBdu3a4ceOG0K5z586ifjo6OqJ58+YICwuDXC5HdHQ0unfvLpp11sfHB02aNNF5varXmZ6ebtT9oJ6veHl5Fbm/vsfTEDVq1MCPP/6IL7/8UijkjYqKwscff4wtW7bAzc2t2Mfu378/+vfvD6Ag8L527RqOHDmCAwcOCLc1Pj4eS5cu1fiy4tGjR6Lsbdy4cejevXuR15mXlyc6H/W956kXNOp6bhMRERERUeUyYMAAIT+Mjo4WLq9VqxZatGhRUd1C3bp14eblgl79u8PVzRVPnzzDpQuXcTT4OJ48egKgIC/4ceVPCGjRDJ5ennqP5+buht79eqF3v14AgLTUNFy9dA0nj51G+LXrQrsTR0+hRasA9OjTvcxuW0nZqw1kf57wHJ41DZug8bmRK9aUtdq1fYXB7VKpFE+ePETt2r5F7pednYVnz54I22U5MSYALFu2TJQf2tvbY/Xq1UXm1kUpjfywuMcoLw4ODujYsaMwEaBqfljSombV3EGhUODZs2fw8fEp0TFVhYWFiXKRiRMnGlRklpycXGp9qApUH4fExERIpdJyW4mtMklJSTGqvfp5ol5Mrr6dlCSe5MWY46sfS1WDBg3g6OgoFENfvnwZ3bt3x5UrV4TC/JYtW4q+DzQxMUGbNm2E18VLly7Bx8cHly5dEtpYWVkhICBA5/U6OjoiLi4OAPD06VOjbhuVPblcjkmTJuHy5cvCZb6+vti6dWuJayLi4+N1fq+tjUKhwJw5c3Dnzh3hMjc3NwwcOLBE/SAiIiIiotJXWbNmf39/+Pv744033gBQUENz7tw5/PHHH3j48CGAgs8ey5YtQ6tWreDt7a33eB4eHhg0aBAGDRoEoCATCAkJQXBwsGjBj+DgYLRp00ao9amM1Gsy4+Li4OXlZdC+sbGxZdGlYvP19RXVqsbExBiU5WVlZYlqVX18fJg1V1LlnTXXqVOnRMdUxaz5xZWcnIy5c+cKzy9LS0vIZDIoFArk5ORg1qxZ2LJli0at8YvAtOgm5WP79u34/fffhW0LCwt8++23er/oUF2ZqnAfQ6m3VZ8Jt7jU+2TsDB2q/SqtPhERERERNWzYEI0bN9a4XNvg7ork6+uL0aNH46+//sKwYcOEy2UymejzgqGcnZ0xdOhQbNu2DYsWLRL97X//+1+J+1uW1B+v69ev62ipKSIiorS7UyKtW7cWbV+7ds2g/a5fvw6FQiFs61vdo6SWLVuGffv2Cdu2trbYuHFjsQa2v6iGDh2qcZmNjQ369u1bouOqT4SgWkRVGgon0ijUtWtXg/ZTHcz9IrG3t0fTpk2F7cLZY1Vnke3YsaPGfh06dNDYJyQkROvf1ZmYmIhC4ps3bxrVZ9UVZQCU6uQI+piZmeHbb7/FiBEjhMuio6Px9ttv49mzZ6VyHebm5mjXrh3mzp2L4OBg0cyzFy5cEH3pAgAPHjwQbRt6vt+8ebPSf3FBREREREQl4+fnhwYNGmhcXtkK7rxreWHYay/jh82r0eulHsLlcrkcJ4+dNvp4Do4O6Nm3BxYvX4BPp34k+tvR4OM69qoc6vmLP99G37yjo6WmB/fulnZ3SqRJE/HAx5s3DctCo6MjRfmh6orCpe3777/HH3/8IWzb2Nhg5cqV8PPzK7PrrG60DUC0sbExaOI9fdSL/wzNnw1VWNxcSF+OpcrYDKuqU30clEolwsLCKq4zFej58+ei1bKKojpQVyKRaBQwq0/UoDoooCjZ2dmifFBfIa6JiYnou5zCAeqqA9VVJ6vWdllhdq+a4QcGBuqtnVM9b5KSkoTic6p4SqUSX375Jf7++2/hMm9vb2zbtg2urq4lPn5ERAR69uyJZcuWiYrQtbl16xZGjRqF3377TXT5559/rjGRMhERERERVbyqkjX7+Phg5MiR2LVrl2hArFwux6FDh4w+npOTE/r374+1a9di5syZor8dPHiwxP0tS+q1qkV9TlNV2TIw9QkUDK2ljYwUZ82BgYGl2S0RZs0lV15Zs+riPaWBWfOLSaFQYO7cuUhMTBQumzZtGkaPHi1s379/H8uXL6+I7lW4SrFy+5EjR/D111+LLluwYEGRXzyqD3zPy8sz+DrV25bWzAbqfZLJZEbtr9qv4vTJmC9IqhoTExNh1te0tDRhZmAifXjeUHHwvKHiqMrnTVpaGvJz02GWL4W1leGTBZVURkYGMrPkkMkksLSsWrNMZWVlIis7CzKTfKSl2RR75YnSOG/UVw6WSqU6/0/40ksviT7gmpiYoGfPnjrbqwY1+fn5ev+vKZfLRb+Xxv9LP/nkE/zxxx9CPyIiIkp03D59+uCXX37BrVu3ABR82Nd2PPVJpvRdp+p9lJeXZ3D/DLkOX19f0UrFBw8exKuvvgpA/7mjVCrx119/iY6VnZ1doZ8V1AuegoOD0adPnyL3Uw3wAKB9+/Zlcju2bt2KLVu2CNuWlpZYvnw5fHx8in19J06cMKr9s2fPRBM6tGrVCuvWrRO1KeltL+5rjvrn57S0NNG5XygwMFC0sgsA9OjRA3l5eVo/r6uvpv1/7N13fFPV+wfwT5KudLd00bKhjAKlBcrQAgKKgMpSEVCQPZUtCMgUQUUFEQVBhigyvqgIIhsE2WW0QAstFMoqdO+RjvT3R3+95KZJmrRJF5+3L1723J5z70lyc9M89znnZGRkaHyM6rGBPXv24NVXX9Wr7/qIi4sTlQsKCvR6rtXPz+zsbK3tDLmuqFK/xlfEe1nTedO6dWthwo1Lly7h4cOHQtKwTCZD06ZNi/VTdXWe06dP4/Lly6LnvlWrVjofW/PmzYWJCOLi4nDmzBnRIHttsrOz8d9//wnlWrVqQSqVlvg86no99aHaftq0aZDJZNi2bRsAICoqCoMHD8aaNWvKPNuuKmtrawwbNkwU5Lxy5YpoRaaiVZBU6fM49+zZIyrr+sxTP99TU1OrVLyKq8wTERER0fOsV69eokFzEomk0iUcFpHJZBj34VicOHJSiFPci7xXQivdevR+Bf/sPYg7EZFG2Z+pNWnmLYofnjrxH94c1L+EVoWxjwtnzpi6ewZp374zNm1aI5TPnDmBHj36lNju9OnjonK7du2M3jegMH5Y9L0eeBY/1Cc2oU1p4ocDBgwQyv7+/sXih5XdCy+8UCx++NJLL0Eul5dpv+rx58OHD2uciLO0VFfSAQonf9THsWPHjNaHqqBt27aiOPuhQ4fQvn37CuxRxTl9+rSwapsuGRkZoskYGjVqVCxXrGnTprC0tBQWWzl16hQmTRJPxqLNqVOnRLH8li1b6qwfEBAgnLcPHz7E06dPRSvNabrGqm67cuUKUlJShPtwRfvUpW3btjhw4IBQPnToEMaMGaOzDZWP6Oho7Nu3r9i27t27G7QfLy8v0Up0qjIyMrBp0yZs2rQJrq6u8PHxQe3atWFnZ4eCggIkJiYiJCQE4eHhxdqOGjVK9LlIRERERESVS1WLNc+YMQMHDx4UvkerTkZXGn369MEff/whfEcu6/5MrVWrVqJY85EjR/Dee++V2K6goMDgOKepderUCd99951QPn78OPr0KTnWfPy4ONas74IhhmKs2TjKK9Z86NAhxpqpzDZt2iSaEPT111/Ha6+9BqVSiZCQECEG+/fff6N169aiCVeeBxU+uP3cuXP46KOPRMH0GTNmiJL6tVGfedOQwe3qK6wbaxbPsvQJEPerNH2qSgPpyqKgoOC5eaxkPDxvqDR43lBpVLXzprC/EP6V53Er5MDGoNJvY73epd2Ppjba9qMeHLS1tUXNmjW11lffrqt/6oOrjfGcWFtbw8HBAUlJSQAKJ44q6369vLyEgKG2/ZXH49bnGLa2tggMDMTJkycBAOHh4fj333/RpUuXYm1V2//111/FVgSu6OtS7dq14e3tLQRpL1y4gAcPHugc1JmamioKujk7O6NVq1ZGfxy7d+/GunXrhLKZmRmWL18Of3//cn3ONJ0Tpjx+Wc9XTW1lMhnmz58vWgmmQ4cOBl1jNNV1d3dHy5YthVlUr1y5grNnz+o9a2VJ1AOajx8/LrYajro7d+6IBkwDup9TQ64rJbWryPdy0fEDAgKwZcsWAIVxjF9++UWIZzRr1gw2NjbF+tmiRQvI5XJkZWUhMjISBw8eFH4nlUrRpk0bnY+tU6dOokS63377DUuXLi2xz3v27EFGRoZQ7tKli17PYVmfa/X2H374IaytrbFhwwYAhYPMx40bh++++86oK8l7enqKyjk5OaJ+qJ/v0dHRJQ6wj4+PLzaDtK7nR/0YqampVepvYyIiIiKi51nv3r0hkUiEsq2tbbHvGZWJtbUc9g52SE5KAQDk5uaV0KJkNT09hMHtqhN6Vka2trZo1zEA506fBwBE3r6Lc6fPo3FT3au7nDx2FHGxMeXRRb15edVG/freuHevMH549epFREc/hKen9u+s6emp+O+/ZwldDg6OJlm5fffu3fjxxx+FclH8sHXr1kY/VnVnZmamMX5YVh4eHvD19RUmY7xy5QrOnTtntPiheu5OdHR0qeKH1Z2vry88PDyEyRUPHTqEd999Fw0bNqzgnpW/3bt347XXXhN9pmry119/iSaK1LSylJmZGTp06CDcK4qKisK5c+dKHBCgVCqxY8cO0baSkrLVB6//+eefePLkCQDAxcVFYxzTw8MDtWrVwqNHj5CWloZt27YJifBAyYPbAwMDYW1tLUyGu2vXLgwYMAA1atTQ2Y5MT9s9VNXXVx/61o+LixPOc12srKzw8ccfY/DgwQb1g4iIiIiIyldVizXb2NgUy1UtK/Vc1crM3t4enTp1wr///gugMFf15MmTxXJV1e3du7dYrmpFq1OnjihX9eLFi3j48KHBuaqmWLmdsWbjMWWsWTVX9erVq4w1U5lcvnxZNClsgwYNMHPmTACFebOLFy/G0KFDkZiYCABYsWIFmjVrhvr161dIfyuCtCIPfu3aNUycOFE0AHzUqFEYO3asXu3V39SqycolUa9rqsHt6rNq6KJUKpGVlWX0PhERERERAYCDgwMGDRok/NNn1QhjunfvnkF/s0dFRYlm1atZs6bo9wkJCRpXoNUmNzcXoaGhWvdXGaknZixbtkznLJ4hISFYtWqVwcdZsmQJOnToIPxTX/ndGEaMGCH8rFQq8eWXX+oc7Lh69WrR96lhw4bBzEz3/Gz9+vUTPY6SAqeHDh3C119/LZRlMhmWLFmCF154oaSHQ1q8+OKLoutMvXr1jLLf0aNHi8qLFy/GvXuGrZ52584d4QaEKvWEPPUV2dWlpqZi4cKFBidwlQdD3wOl1bJlS1haWgrlnTt3Cj9rS1Y0NzdHq1athPKuXbuEn729vYXV4bUJDAwU3eQ6evRosRlz1d27dw/r168XyjKZDG+99ZbONqY0atQoTJ06VSgnJCRgwoQJopWM1Kl+bukjODhYVFb/rFNPJlYftK4uJycHixYtMii+VbNmTdENyps3b+rdloiIiIiIKlZVix8+fPAIKcmpQtndw030+6TEJMTGxOm9v9zcXNwKe7aakJva/iqjvm+9ISp/99X3eHD/oZbaQMStm9i2ZZPW32uzcuWneP31jsK/o0f3G7yPkrzzznDhZ6VSiR9+WKEzfvjTT6uRkfHs+2qfPv0hk8l0HoPxw4pnqvjhqFGjRGXGDzUzZfzQzMwMw4cPF8r5+fmYPXs24uL0vw4DhfEtQxcSqWxu3bqF3377TWed+/fvY+PGjULZzMxM6ypiAwcOFJW//PJLIdlRm59//rnYCuolTTTg6ekpisGqxn3btm2rtZ1qTFg17uvo6Ahvb2+dx3RwcMDbb78tlNPS0vDxxx8bFI8EIFr5iKqGJk2aYMiQIWjUqBGk0pJTWF1dXTF27FgcOnSIA9uJiIiIiKqAqhZrZq4qMGjQIFGZuarMVa3smKtascorV7UqS0hIwIIFC4QFweVyOT777DNYWVkJdWrUqIHFixcL8bGsrCzMmzdPNClqdVdhg9sjIiIwZswYYeZVAHj77bcxa9Ysvffh7u4uKhvyx0LRzLJFPDw89G5rSJ9iYvSf8TwuLk50wTFWn4iIiIiIKoOjR4+ib9+++OabbxASEqIzWHTnzh18/PHHojrqK1ZERUXhzTffxLx583Dy5EmdX+SSkpLwySefiL4zaFoBo7Lx8/MTJTOlpKRg9OjRWLduHW7fvo2cnBxkZ2cjIiIC3377LSZNmoSsrCy0bNmyAnutWdeuXeHj4yOUg4KCsHDhQtF3QqBwIOWqVatEQcuaNWuif//+Ru3P2bNnsWTJEuEck0gkmDt3Lrp162bU45SH8gj4VrT27dvjjTeeJWsnJydj1KhR+N///iesGK5JVlYWjhw5gmnTpuG9997TmEjp6+sLR0dHobx9+3bs3r1b4zXq5s2bmDBhAiIjI4utTv08sbCwEA1UV73+qq/uo0o1yVG1TUmr9wCFs1SqDgwHgIULF+L333/X+FpdvHgRH374oehG1ZAhQyr8ZtGgQYMwZ84cIRiZkpKCSZMmFRuUXmTevHl49913sXPnTp0xJqVSiT179mDbtm3CNnd3dzRr1kxUz9PTU5TEeuzYMaxbt07jaoQPHjzAlClTcOnSJUilUtGEBrrY2tqKbhb8/vvvOHLkiEE3DYmIiIiI6PlkSPww6m4Uli38XFTnhU7ilTMePniE0e+Ow+eLv8S50+d1xhBSklPw5adfIy72WezghUDjrMRhSi18m6NH71eEcmpqGj6dtxx7f9+DJ9GPkZuTA4VCgfv37uK3nzdj+aIFUGRno1HjJhXYa81efLErvL2ffY8NDg7CV18tRFaWOH6Ym5uDDRu+FQ2wd3FxQ/furxq1P4wfVi0dOnTAm2++KZQZP6wYb7zxhig++OjRI7z//vs4ePCgzgTM1NRU7Nu3D+PGjcP48eN1vmaVnYWFBQBgzZo12LRpk8a429WrV4vFLt9//32tq5W3adNGtFJadHQ0hg0bpnFSydzcXKxbt060CpiFhQUmT56sV/+1xXBLE/dt06ZNiavXA8Dw4cPRqFEjoXz9+nWMGDECp0+f1vm3QHx8PHbt2oX33nsPc+bMKfE4ZJhatWohPDy8zP+0TVJbu3ZtLFy4EPv378fly5fxv//9DytXrsS8efMwbdo0TJ8+HQsXLsS3336Lo0eP4vTp05gxYwbzKYmIiIiISC/MVTWcv7+/1lzVu3fvMle1DBhrrlqYq0rGoFQqsXDhQiQkJAjbZs2apXFF9oCAANGkHHfv3sWKFSvKpZ+Vge6pREzkwYMHGDlypGhmm549e2LJkiUG7Ud9RllDZnlQHwivPvtFaan36fHjx3q3VR9wb6w+ERERERFVFunp6di1axd27doFe3t7NG7cGHXr1oWdnR1kMhmSkpJw69Yt3Lx5U/RlvXPnzhoTZ/Lz83Hs2DEcO3YMlpaWaNiwIRo2bAhHR0dYWloiPT0dUVFRuHr1qiio4OHhgffee69cHnNZTZs2DQ8fPsTVq1cBAAqFAps3b8bmzZs11vfy8sKsWbMwdOhQYVtJKxaVB4lEgmXLlmHEiBHCjISHDx/G+fPnERgYCDc3NyQkJODcuXOIj48X2snlcnz55Zd6D6rU16+//ipKpisoKMCyZcuwbNkyg/bz3XffoXXr1kbtG2k2a9YsPH36VFiBJTMzE19//TXWrVsHPz8/1K5dGzY2NsjOzkZycjIiIyMRGRmJ3Nxcnfu1sLDAiBEjsHLlSgCFQaWvvvoKu3btQkBAABwdHZGamorQ0FCEhYUJ7aZNm2bw+VKdBAQE4OLFi6Jtcrlc5w0LbQmQ+gxuBwo/CwYOHCis/pObm4sVK1Zg69ataN++PVxcXJCWloZr164hPDxc1LZVq1YYN26cXscxtb59+8La2hqLFi1Cfn4+MjIyMHXqVHz55Zcan6PIyEisXLkSq1atgpeXF5o0aQJXV1fY2toiNzcXT58+xZUrV4oFxKdNm6ZxxZtx48aJJpfcsmULDhw4gPbt28PV1RUZGRkIDw/HtWvXhOvk+++/jwMHDug9sWS/fv2E91RmZibmz58PALC0tBT1afbs2ejZs6de+yQiIiIioueDevywfv36cPNwhZW1JWztbJGSnII7EZG4HX5HFD/s8GI7+LVpVWx/SqUSp0+exemTZ2FhYYF6DeqiXoO6sLe3h4WlBTIyMvHw/kPcCAkVrRTs6uaKAe/0K4+HXGZjJ41C9ONo3AgpXAkoJycHB/8+gIN/H9BY383dHcPHjsMnM6cL2ypL/HDOnGWYPn0kkpML44cnTx7B5cvn0b59J7i4uCEpKQGXLp1DYuKz+KGVlRyTJ88VBpQaC+OHVc+iRYvw5MkTnD17FgDjhxVBJpNh6dKlmDhxIu7cuQMASExMxKJFi7Bq1Sr4+/ujZs2akMvlyMzMRFJSEm7fvo2oqKhKufpQaTRv3hzOzs44duwY1q9fj99//x0dO3YU4m43btwQnSdFbVRXvddk7ty5uHPnjpCHdvv2bfTv3x+tWrVC06ZNIZfLERMTg3PnzhVbFWrKlCklrqBeJCAgQOOKUbpiuG3btoVUKhVWINKnjaqi+0ATJkwQJvh8+PAhZs6cCVdXV/j7+8PV1RVWVlbIyMhAfHw8IiIi8PDhQ+FvAVtbW72ORZWTtbU1fH194evrW9FdISIiIiKiaoS5qobTlKu6ZcsWbNmyRWN95qrqh7Hmqoe5qlRWGzduxKVLl4TyG2+8gV69emmtP2rUKISEhAht9u/fj9atW+O1114zeV8rWrkPbo+JicHw4cNFCbddunTBV199pTHhVhf1geTqwX9dQkNDRWVTDW7XNEtuefeJiIiIiKgySk1NxaVLl0Rf3jQJDAzUayIshUKBsLCwEr8X1K5dGytXrqwyiS5yuRzffPMNVqxYgX/++Udn3datW+PTTz9FamqqaLuNjY0pu6g3Dw8PrFy5EnPmzBEm90pNTdX6uBwdHbF48WK9k64MoWmmw9Ikz+ma1ZWMy9zcHCtXrsSaNWuwc+dO4bnPyMjAmTNnSmwvkUhgZqY5DPLOO+8gPDxcdC4+ePAADx480Lif8ePHo0+fPs91wFBTYqKfn5/W5xgAGjVqBCcnJ1Fypfoq8CWZPn065HI5tm7dKpwDMTEx2Lt3r9Y2gYGBWLp0qc6+lbdXXnkFVlZWmDdvnjCz8cyZM7F06VJ07txZY5uCggI8evQIjx490rlvc3NzfPTRR1pnfe7cuTNGjhyJTZs2Cdt0PYcDBgzA2LFjceCA5kERmrz99tsICwvDoUOHRNvVZ6/VtHIVERERERFRkdTUVISEhAAhuuu16xiAmfNmlLi/nJwcRNy6jYhbt3XW86zlicXL58PGtnLE1EpiJbfComXzsXb1jzh26ITOus2at8DEaTOQnpYm2m5tXTkeq5ubBxYt+gbLl89FTExh/DA9PQ3HjmmOH9rbO+Kjjxajdu16AIw7MJbxw6rHwsICGzZswNKlS7Fjxw7GDyuIvb09NmzYgOXLl+Pw4cPC9uTkZJw4ofsaBRQmQBuaP1bZzJ07FwkJCQgODkZCQoLOFax8fHywatUqmJub69yng4MD1q9fj+nTpwsTexYUFCA4OBjBwcEa25iZmWH27NmilaZKEhAQAIlEIrp21atXD66urlrb2Nvbo0mTJsVy5HSt9q7O09MTW7ZswYIFC4SkYQCIi4sTnUfalPT8ERERERER0fONuar6Ya4qc1WpEHNVqSwuXbokWsCuYcOGmDFD931MqVSKxYsXY+jQoUhMTAQArFixAj4+PhpXe69OyjWrNzExEcOHDxetZt6uXTusXr26VEFmb29v2NvbCx+G2oL1mhTNJAMU3hgx1uwl9vb28Pb2xu3bhTfEb968iezsbFhZWRnUJ0D/GWyJiIiIjCE/Px+xcfElVzSSxMREZGbmITdXBmUV+76dn68suRIV07dvX9ja2uLMmTMIDQ1FVlaW1roSiQQtWrTAoEGD0L17d411fHx8sGDBApw5cwZXrlwpthKFulq1aqFv374YOHCg0WdWNDW5XI4FCxZgwIAB+Oeff4QVegsKCuDi4gJvb2/07t0bHTt2hFQqLRbkqEzB0aZNm+KXX37Bjz/+iEOHDhULbgKAlZUVunXrhkmTJqFGjRoV0MuqJSEhQfhZIpGgSZMmFdgb0zIzM8PUqVPRt29fbN26FadOnUJGRobW+jKZDE2aNEFgYCB69uwJT09PrXUXLFgAHx8fbN68WfScFpFKpfD398fIkSPRpk0bozyeqqxJkyZwcHBASkqKsK2kOIZEIkFAQIAoGdHX11evmImqCRMmoEuXLli/fj2CgoK0BvsbN26M4cOHo1u3bgbtv7x06tQJX3/9NWbNmoWsrCzk5ORgzpw5WLhwIXr06AGgcMWxf//9FxcvXsS9e/d03qSwtrZGly5dMHLkSNSuXVvnsceOHYsGDRpg3bp1WgfL+/j44L333ivV8yeTybB69WqcPHkSe/bsQXh4OGJiYpCVlVVtVuEiIiIiet6Ud+zQlCQSICu7cIXutLRUmCIXKD8/H6j4xUmqHEPjh02aNUa/t/og8KUXNdZp3MQb0z6egqBzQbhxLRTJSSka6xWp6VUTr772CvoMeN3oq4CbmpXcCtNmT0HvPr2w/69/EHr9FpKTkiEB4Oziglq16yDwpa7w9W8NqVSKJ9GPRe0ry+B2AGjUqClWr96KX39djxMnDiI9Pa1YHUtLK7z4YleMGDEJTk41EB8fWwE9rTqex/hhnz59GD+sQHK5HEuWLMHAgQPxyy+/4Pz588UmPVRlbm6OFi1aoFOnTnj11VcrTRJ0adnY2GDNmjXYvHkz/vjjD433rxwcHDB48GC89957ek/KWaNGDWzcuBH79u3D9u3bNSa8AoClpSU6d+6McePGoVatWgb13cHBAd7e3oiIiBC26ZO/1q5dO9Hgdi8vL53vJ02cnJzw3Xff4dy5c9i2bRuCg4N1To5pZWUFPz8/vPTSS3j55ZcNOhYREREREVWc6hRrLg+MNZcOc1VLTz1X9fLly0KuqqurK3NVn3OqK90/L7Fm5qqSIRISErBw4UIolYVjTeRyOT777DO9cmRr1KiBxYsXY8qUKVAqlcjOzsa8efOwadMmg3NsqxJJQTlN3ZGeno5hw4aJVif39fXF5s2by/ThNWPGDNEMt7t27Spxxa+YmBh07dpVSKZt27Yttm3bVuo+qFu5ciXWrVsnKvfu3VtnG4VCgcDAQOHDsmbNmvj3338NPnZJfyRVZRKJBI6OjgAKZ3TmrDOkD543VBo8b6g0qvJ5Exsbi/ycbECZW67HTUhIRFZGHnLyZHByci7XYxtDYnIKLK3NUbeuB9zc3Eq1j6p83pRVXl4e7t27h4cPHyIuLg5ZWVmQSCSwsbGBp6cnmjRpYnCg6PHjx7h//z6ePHmCjIwM5Ofnw9raGq6urmjUqBHq1KljokdT/ko6d3bu3ImVK1cK5b///hsuLi7l2UW95OTkIDg4GE+fPkVSUhLs7e3h7u4OPz8/WFtbV3T3qoTc3Fy88soryM7OBlC4GvSnn36qsW51vObk5+fj1q1bePDgAVJSUpCZmQm5XA4HBwfUrl0bDRo0MDgRMi8vDzdu3MCdO3eQnp4OW1tbuLi4oHnz5jpXp6muKvt5k5aWhuDgYMTFxSE1NRXW1tZwdnZGy5Yt4e7uXtHdM6q0tDRERkYiOjoaSUlJUCgUsLS0hIODA+rVqwdvb2+Db4gplUqEh4cjPDwcycnJkMvlcHV1RePGjQ1OfFVV2c8bXZycnCq6C9VSdY5ZUvVWla9nRIbi+U7aVFTs0JQkEsDezgEAkJqWYpLB7QAAqTlkFlaljh0+74rih6GhoYiOeYyMrHTY2NrAxsYa7h7uaOjdAE7Ohv39/jT6KR4+eIS4mDhkZGRCqVTCSm6FGi41UL9hPXjVMmwQXmWVEB+PjIx85OTKUK9u4WoOqWlpAJ6d7If278O2zZuE8tat++DsXPnih7m5OQgNDUZs7FMkJyfBzs4eLi7uaNHCD3L5s/hhfHwsLCzyYWtrxvecGkPih1WZtr9lGD+sHHJychAaGorHjx8jJSUFOTk5sLa2hqOjI+rUqYP69etX6eS8CRMmCAua+Pv7Y+3atcLv8vLyEBwcLMT07OzsULt2bfj7++s9qF1d0fl+9+5dBAUFITExEQqFAg4ODqhZsyZatWpVpZ/PIllZWbh+/TpiYmKQkpKCvLw8yOVy1KhRA3Xr1kW9evWeixXbGa80DUPjlfzOTPrgeUL64HlC+jDmeRIbG4v87DSY5Svg5lr5vvdXVrFx8ciTWUJmZVcp4wxV9VpSHWPN5aYUseaqep6YAnNVtTPGecJc1eqv6DzJyclBQEBAtY81a8NYs2783Hl+GDteWS4rt2dnZ2P8+PGige2NGzfGTz/9VOZZWXr16iUa3P7bb7+VOLh9x44dolWievbsWaY+qHv11VdFg9t/++23Ege379u3TzQLjLH7RERERKSNVCoFLKwAlG+Sg9RSAeTlQSKVQWppV67HNgapuQJSKb94lZaZmRm8vb3h7e1ttH16eXnBy8vLaPurylQnynJ1da2UwUIAsLCwQLt27Sq6G1XatWvXhGChTCbD2LFjK7hH5Usmk6F58+Zo3ry50fZpZmYGPz8/+Pn5GW2fZDp2dnbo1KlTRXejXNjZ2Rn93JRKpWjWrBmaNWtmtH0SERERUfVSUbFDU5JIJDCztgcAyHILTJpcIZVKTbbv6q4ofujg4IB0RSpylNlwKWMStoenBzw8PYzUw6rt0oXzws9OTjUq5cB2ADA3t4CfH+OHZcH4IeOHlYGFhQX8/f3h7+9f0V0pd2ZmZmjbtq1J9t2gQQM4OztX20RRuVzOe0hERERERNVIdYw1lyfGmkuPuaqmxVzV58eVK1cYa2asmcjoTD64PS8vD1OmTEFQUJCwrV69eti8eTMcHBzKvP/u3bujcePGiIiIAAD89ddfeOuttxAQEKCx/r1797Bx40ah7OrqirffflvnMf744w/MmTNHKPfv3x+ff/651vo+Pj546aWXhA/poKAg7NmzB/369dNYPzExEd98841QtrKywsiRI3X2iYiIiMhYKjKQYGWVh5wcGVxcKt8Mp/qwsMgvuRJROTt//rywQggABAYGVmBvyNQuXrwo/NynTx/Url27AntDRERERERE1U1lTUIqC9WVAywtLavtgDAiba4FX0V4WJhQbtXKNIMuqXJg/JCIiIiIiIiIKoPqGGsmet4xV/X5cvbsWeFnxpqJyFhMOn1PQUEBPv74Y9FMLF5eXtiyZYvR/jiVSCSYPn266JgTJ07EuXPnitUNCwvD8OHDoVAohG0ffPABrKyMP/vT1KlTYWb2bO6A+fPni1aYL/Lw4UO8//77SEhIELYNGzYMbm5Vc4AXEREREREZ3/Hjx6FUKkusFxISgoULF4q2DRgwwFTdokqgaCI5KysrjBo1qoJ7Q0REREREREREFeH0ybN6xQ8jbt3Eum9XirZ169bLVN2iSoDxQyIiIiIiIiIiItIXc1VJm6LB7Yw1E5ExmXTl9ujoaOzbt6/Ytu7duxu0Hy8vLxw5ckTr77t27YoxY8Zgw4YNAIDU1FQMHz4crVu3hq+vL6RSKcLDw3H27FnRzPt9+vTBoEGDDOqLvpo1a4ZPPvkEixYtAgDk5ORgxowZ+Omnn9C2bVtYWVkhMjISp06dQl5entCuXbt2mDx5skn6REREREREVdPcuXPh6emJl19+GW3btkWjRo1ga2sLAEhISMDNmzdx5MgRHDlyBPn5+UK7fv36wdvbu6K6TSaWlpaG8PBwAMDAgQM5wzERERERERER0XPq88Vfwr2mOzq9FIgGDevCycUDFpYOyM/PR1pqCq6FhOD8mf9w4cxpUfzwxU5dUadO/QrsOZkS44dERERERERERERkCPVc1YYNG8LBwQEAkJKSglu3bjFX9TmUmpqKsLAwAIw1E5FxmXRwu+pActVtqh9g+tCn/vTp05GdnY1ffvlF2HblyhVcuXJFY/3evXtj6dKlBvXDUIMHD0ZaWhq+/fZbYQD7zZs3cfPmTY31O3TogG+//Rbm5uYm7RcREREREVU90dHR2Lp1K7Zu3apXfT8/P0ydOtW0naIKZWdnhzNnzlR0N4iIiIiIiIiIqBKIeRKD3dt/17t+g0beeGvgeybsEVU0xg+JiIiIiIiIiIjIUMxVJXX29vYICwtDcnKyxrGiRESlZdLB7eVJKpXik08+QadOnfDDDz8gODhYY73GjRtj9OjR6Nu3b7n0a+zYsWjfvj1WrVqF8+fPQ6lUFqtTu3ZtDB06FMOGDYNEIimXfhERERERUdVhaWkJhUKhV10LCwsMGDAAkyZN4sRZREREREREREREzwFLSwsoFDl61TU3N0e3Hj3xcu/esDC3NHHPiIiIiIiIiIiIiKiqYK4qERGVJ5MObq9VqxbCw8NNeYhiunTpgi5duuD+/fsIDQ1FbGws8vPz4e7uDm9vbzRp0sTgfQ4YMAADBgwodZ9atWqFzZs3IyYmBiEhIYiJiUF2djbc3NxQv359+Pr6lnrfRERERERU/R08eBDnzp3D1atXERERgSdPniAtLQ0KhQJyuRwODg6oX78+WrdujR49esDV1bWiu0xERERERERERETlZNsfW3E56ApuhIQi/GYEYmPikZmRgby8PFhZyWFjawuv2rXR1Kc5OnbqDCdnZyQkxFd0t4mIiIiIiIiIiIioEtGUq5qamoqcnBzmqhIRkdFVm5Xb1dWtWxd169at6G6IuLu7o0ePHhXdDSIiIiIiqmLkcjm6deuGbt26AQAkEgkcHR0BAMnJySgoKKjA3hEREREREREREVFFspJb4cXOL+DFzi8gIT4eGRn5yMmVoV7d+gCA1LQ0AIwhEhGZwtq1ayu6C0RERERERERERqGeq0pERGRK0oruABEREREREREREREREREREREREREREREREREREREREVV/HNxOREREREREREREREREREREREREREREREREREREREREJsfB7URERERERERERERERERERERERERERERERERERERERGRyHNxOREREREREREREREREREREREREREREREREREREREREJsfB7URERERERERERERERERERERERERERERERERERERERGRyHNxOREREREREREREREREREREREREREREREREREREREREJsfB7URERERERERERERERERERERERERERERERERERERERGRyHNxOREREREREREREREREREREREREREREREREREREREREJsfB7URERERERERERERERERERERERERERERERERERERERGRyHNxOREREREREREREREREREREREREREREREREREREREREJsfB7URERERERERERERERERERERERERERERERERERERERGRyHNxOREREREREREREREREREREREREREREREREREREREREJsfB7URERERERERERERERERERERERERERERERERERERERGRyHNxOREREREREREREREREREREREREREREREREREREREREJsfB7URERERERERERERERERERERERERERERERERERERERGRyHNxOREREREREREREREREREREREREREREREREREREREREJmdW0R0gIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiJSFx8fD6VSWdHdKBcSiQQKhQIAkJKSgoKCglLvKz4+HkpFBiyRCzdXF2N1kYiIiIiIyCg4uJ2IiIiIiIiIiIiIiIiIiIiIiIiIiIiIiCodpVKJ/JxsQJlb0V0xOYkEyDOXAADys1NRhrHtyFekoyBXAaVMYqTeERERERERGQ8HtxMRERERUZlNmDABV69eBQD4+/tj7dq1Fdyj0tuwYQM2btwolM+fP1+BvanecnJyEBISgqdPnyIpKQn29vZwd3eHn58f5HJ5ufYlOTkZUVFRQl+ys7NhZmYGOzs71KpVC02bNoWtrW2ZjpGRkYG7d+/i/v37SElJQW5uLuzs7ODm5oYWLVrAycnJSI+GiCpChw4dhJ9HjRqFMWPGVGBviIiIiIiIKpfqFD/ctmU7tm/dKZT/Pr6n4jpTzeXm5iA0NASxsU+RkpIEOzsHuLq6oXlzP1hZMX5IRERERET0XFHmQpKTCZlMVtE9MSmJBJDlZwMAzPIVZRrcLsnJQkGBEpCZG6l3REQVrzrFmpmrWn6Yq8pYM1Utf//9N5YuXSqU//jjD3h6elZgj8hUOLidiIiIiKgKi46OxoABA4ptb9OmDb7//nuD95eSkoLXX38dubnimY69vb3xyy+/lLqfRKoyMjLw448/4uDBg0hNTS32e7lcjq5du2LSpEmoUaOGyfqxd+9enDlzBqGhoYiPj9dZVyqVol27dnjnnXfQsWNHvY9x8+ZNnDhxAkFBQQgPD4dSqdRa18fHB4MGDcIrr7wCiaTyzJq9ZMkS/PPPP8W2r127Fv7+/gbvb/Xq1fjtt9+Kbf/iiy/QpUuXUvWRiKi6SU5ORkREBO7fv4/k5GQUFBTAwcEBnp6e8PPzg52dnVGO8+DBA4SFheHp06dQKpVwd3eHt7c3GjdubJT9ExEREVHFY/yQqqLMzAz88st6nDhxAOnpacV+b2Ulx4svdsXw4RPh5MT4YUVj/JCIiIiIiMqLTCaDm6tLRXfDpCQSwN7eAQAgt7Io0+D2+IREKPO0f88kIjIEY81UFTFXVTPGmhlrJqosOLidiIiI6DkXHx+v8wusKY+bkZGH3NyqOZtuYmI8LC0LYGvrVtFd0ejKlSt4+vQpPDw8DGp35MiRYsFCImO6desW5syZgydPnmitk5WVhX/++Qfnzp3D4sWL0a5dO5P0ZceOHbh7965edZVKJc6fP4/z58+je/fumD9/PqysrHS2+fDDDxEUFKR3f8LCwrBgwQLs3bsXixYtgotL5b4h+88//xgcMMzPz8fhw4dN1CMiqgyio6Pxzz//CNfI7t27o2bNmhXcq8pPqVTi0qVLOHLkCM6fP4+IiAitdSUSCTp27Ijhw4eX+kbLyZMnsXbtWmE2c3VNmjTB6NGj0adPn1Ltn4iIiKqPioodmpJEIoFCoQBQmDxXUJYM4RJIpdJK+/2e8UOqrO7cCcfy5XMQE6M9fpidnYVjx/7BpUvn8NFHi1CrVj2T9IXxw7Jh/JCIiIiIiIiIilTHWHN5YqyZyHDMVdWOsWYiqiw4uJ2IiIjoOadUKpGdm4U8ZfkGiTJy0pGVk4ecPBkscyzL9djGoMjLhrm5eUV3Q6uCggIcOHAAI0aMMKidphnviIzl6dOnmD59OhITE4Vt9vb2CAwMhJubGxISEnD27FkkJCQAAJKSkjB79mysX78e3t7eJu2bpaUlGjZsiLp168LZ2RlWVlbIzs7Gw4cPERwcLJq189ixY0hMTMR3330HMzPtX6uTk5OLbfPw8ECLFi3g4uICa2trJCQk4MqVK3j48KFQ59KlS/jggw/w448/wsHBwaiP05iOHz+OGTNmlBg4VXXhwoUSZx4loqrtyZMn+Omnn4Syj48PB7froWfPnrh//75edQsKCnD27FmcPXsWr732GpYsWQJbW1u92y5btgxbt27VWS88PBwfffQR/v33X3z++eewsLDQa/9ERERU/VRU7NCUJJBA+v9/3qRnp6IAphncbiY1h5W53CT7NgbGD6kyio19ikWLpiM5+Vn80NbWDu3aBcLV1R2JifG4dOkckpIK44cpKUlYuvRjzJ27HI0a1TFp3xg/NBzjh0RERERERERUpDrGmssLY81EhmOuKmPNjDUTVQ0c3E5EREREyFPmIis3EzKZtPyOWZCNXOQjt0CKnIKscjuuMSjzlcgvyANQ+Qa3FwU5AODgwYMGBQyjoqIQFhYmlC0tLYVVrEqydu1awzpaiY0ZMwZjxoyp6G5UOwUFBZg7d64oWNijRw98/PHHsLa2Frbl5OTghx9+wI4dOwAUzow5a9Ys7NixA5aWxp0Io2bNmmjfvj06deqEFi1aaB24l5OTg927d+OHH35AXl4eAODq1av49ddfMXz48BKP4+zsjNdeew1vvPEG6tQpnmRbUFCAEydO4PPPPxcCk1FRUfj888+xfPny0j9AEym6zmRkZODUqVPo0aOH3m1Vb0qoXq+IiJ53qp+PRerVqwdfX1+4uLjA0tIST58+xblz5/D06VOhzv79+xEbG4uNGzfq9Tn59ddfFxvY3rp1a7Rs2RIymQzh4eE4e/assHrp/v37IZPJsGLFijI+QiIiIqrKKiJ2aEoSSKBQFsb1cpTZJhncnp+vhNzcGkDlSzhk/LDs3h0+GO8OH1zR3ah2CgoKsHz5XNHA9i5dXsEHH3wMufxZ/DA3NwdbtqzFX38Vxg+zs7OwevUyfPXVahg7BYbxw9Jh/JCIiIiIiIiINKlusebywFhzcdUp1sxcVdNgripjzQBjzURVBQe3ExEREREAQCaTwsXVpdyOJ5EAllb5yMmVwtm5/I5rDAkJlXcmt8DAQJw4cQL5+fm4f/8+bty4gRYtWujVVvWLvK+vL2JjY0WDp4jK4vjx46KAdEBAABYvXgyJRCKqZ2FhgalTpyI9PR1///03gMJVgP/8808MGjTIqH36+uuv9apnYWGBIUOGwMnJCYsXLxa279y5E0OHDoVMJtPYztHREZMnT8Zbb72lc8VbiUSCbt26wdPTE+PHjxeCaCdOnEBYWBh8fHwMeFSm17lzZxw+fBhA4XVD34Bheno6/vvvP6HcpUsXHDp0yCR9JCKqqry8vPD222+jf//+8PDwKPb7/Px87Nq1C8uXLxdu7AYFBWHVqlWYPXu2zn2fOHECGzZsEMr29vZYvXo1OnbsKKoXFhaGCRMmCH8H7t27F23atDH65zARERFVLeUdOzQlCSRwcLAHUJgwZ4rB7fFxjB8SGerMmeO4ffumUPbzC8DMmcXjh+bmFhgzZgoyMtJw9Oh+AEB8fCyOHTuEt9/ub9Q+MX5YOowfEhEREREREZE21SnWXB4YayYyHHNVGWtmrJmo6uCUR0RERERE1UiNGjXQrl07oXzgwAG92imVStEX9969exu9b/R827x5s/CzVCrFrFmzigULVU2ePBk2NjZCeevWrcJMlBWlV69eaNiwoVBOSkrCrVu3tNZfuXIlhgwZojNYqKpp06bFgqLHjx8vXWdN6LXXXhN+DgoKQny8fjdRjh49KgzEdHNzQ9u2bU3SPyKiqsjT0xPLli3DkSNHMGHCBI0D2wFAJpNh8ODB+O677yCVPgvt/vLLL4iJidG6/4KCAnzzzTdCWSKR4Icffig2sB0AfHx8sGXLFtEs1GvWrOEMxkRERETVBOOHVFnt2LFF+FkqlWLixI90xg9Hj54Ma+tn8cO9e/9Efn6+KbtYIsYPCzF+SERERERERERU/THWTJUVc1VLxlgzEVUWHNxORERERFTNqAb7jhw5gtzc3BLbXLp0SRgQZWlpiZdfftlk/aPnz4MHD3Dnzh2h3L59e9SuXVtnG3t7e9Esi4mJiQgODjZVF/Xm7+8vKusaSGhmZmbw/l955RVRWXUG0crCx8cHdevWBVC4grC+M1qqzrjbs2dPnQFjIqLnzR9//IE333xT6wzL6rp06SK6gZObm4tjx45prX/06FFEREQI5b59+yIgIEBr/fr162PUqFFCOS4uDv/73//06hsRERERVX6MH1Jl8/jxQ0RFPYsf+vu3h6en7vihra09Ond+FktLSUnGjRs3TNZHfTF+yPghEREREREREdHzgrFmqmyYq6o/xpqJqDIw/OpFRERERESVWufOnWFra4v09HSkpqbi9OnT6Nq1q842ql/kO3XqBFtbW1N3EwDw9OlThIeHIyYmBpmZmZBKpbCysoKrqytq1aqFBg0a6D3ICwBSU1Nx69YtPHz4EBkZGcjPz4eVlRWcnZ3h5eWFRo0awcrKyoSP6Jn8/HyEhITg8ePHSExMhI2NDTw9PdG6desy9SEhIQFXr15FRkYGlEolbG1t0ahRI9SvX9+IvTeu//77T1Tu1q2bXu26deuGP//8UyifOnWqwmdQVJ2hEyhcCdeYatWqJSonJiYadf/G0rt3b6xduxZA4fXj3Xff1Vn/0aNHuHbtmlDu1asXQkNDy9yPjIwMhISEIDY2FikpKcL7vXnz5vD09Cz1ftPT03Hnzh08fPgQqampyM3Nha2tLZydndGiRQu4ubmVue+qHjx4gPDwcMTGxgIonNnYz89P68rN9Ex6ejqCg4MRFxeH1NRUWFtbw9nZGS1btjTq66RQKBAcHIzY2FgkJibC0tISL7zwAurUqWO0Y+gjLy8Pd+7cwd27d5GcnIzs7GxYWFjA1tYWNWvWRP369Q1+3FlZWYiMjMSDBw+QnJwMhUIBGxsbODk5oVmzZsWuS2QapbnJ9Nprr2Hfvn1C+fr161rrHjx4UFQu6boNAIMGDcKPP/4orHx48OBBDB061OB+EhEREVHlU5Xih3Fxcbhx6zpi42Igk0khkUhhZWWJGi41UNOrJurUq21Q/DA9LR13IiIR/SgaGRmZUCqVsLS0hKOzAzxqeqBeg3qwsrI04SN6Jj8/H2E3buJJ9FMkJyXD2toaHjXd0aJVizL1ISU5BcFXbiIxIRWOjk6o4eICF3cPeFXi73cXLpwSlV98Uff5WCQwsBsOHtwjlC9evFgsIa+8MX5YiPFDxg9VJSUl4fr164iPj0dqaipsbGxQo0YNtGrVCjVq1DDacW7fvo3IyEjExcVBKpWiTp06aNu2LeRyudY2eXl5CAkJwd27d5GRkQE7Ozs0bNgQvr6+kErLvmZM0f6jo6ORlJQEe3t71KpVC35+fqWKB6mKiorChQsXkJSUBIVCAQcHB3h4eKBVq1bldi/MlGJjY3Hjxg0kJiYiPT0ddnZ2cHV1hZ+fH+zt7Y12nNu3byMqKgrx8fHIzc1F/fr10alTJ6Ptn4iIiIiIqDqrSrFm5qoaLiEhAVeuXEF8fDyUSiXc3NyYq1qOGGsuxFgzY81loX59tLKyQpMmTUqM/6anp+PKlSt49OgRcnNz4eTkhJYtW1bq619VxcHtRERERETVjKWlJbp164a9e/cCAA4cOKAzYJiZmYl///1XKKvOpqmvCRMm4OrVqwAKZwssCiRoc/ToUfz666+4deuWznpWVlZo3bo1Bg8erHN10Vu3bmHDhg04f/68MABLE5lMhiZNmuD111/HgAEDNNbZsGEDNm7cKJTPnz+vdX/9+vXD06dPARQ+bwsWLIBSqcS2bduwa9cuxMXFFWtjaWmJt956C6NHj9aZUKXu/v37WLVqFS5cuAClUlns9z4+Phg/fjzatWuH6Oho0eP75JNP8Prrr+t9LGNTn8WyZcuWerVr3rw5ZDKZ8JpWhtkwnzx5Iip7eXkZdf+ZmZmiclmT20ylZ8+e+PHHH6FUKhEZGYmIiAg0btxYa33VmxI+Pj6oX79+mQKGwcHB+Omnn3D16lWt7/kGDRpgxIgRePnll/WaefPevXs4evQozpw5g4iICI3vsyINGzbEkCFD0KtXL70SHLVdV0JCQvD999+Lgqmq2rRpg6lTp8Lb27vEY5jS5cuXMWTIEKH8/fffo02bNlrrnz17FtOnTxdt27dvH1xdXbW22bZtG7777jsAhdfqw4cPFwvQq7p58yZ+/PFHBAUFaT0HGjdujJEjR+Kll17Suh9VHTp0EH4eNWoUxowZg9TUVKxduxaHDx9GRkZGsTZlGdyel5eHZcuWid4f/v7++OKLL4olZ2ZkZGDz5s3Yv38/kpKSdO7Xzc0NnTp1wujRo+Hk5KSxzpMnT3D06FH8999/CAsLQ15entb91axZE4MGDUL//v1hYWGhtZ7qZ6KqiRMnam1T0Z9PVZ36+RcfH6+xXl5eHk6dejZQpGbNmvD19S1x/+7u7vDz88Ply5cBAFevXkViYiKcnZ3L0GsiIiIiqgyqU/zQ0soSLVu1QL+3+8CvdSut9e5ERGLblu24EqQ9lgAAUqkUjRo3xMs9u6N3n54a62zbsh3bt+4Uyn8f36N1fyMHj0FsTGGMsPurXTFt9hQolUr8sWsP9v7+NxITiieLWVhY4PX+vTFk2CBYyfVPPHz04DE2/LARV4Kuakxya9CoEd4a8h5a+LZCXGwsZkwcJ/xu6tRP8PLLr+l9LGMLDQ0RlZs10y9+2KRJc0ilMiiVha9pZVi5nfHDQowfPl/xQ21OnTqFn3/+GWFhYVqTb1u0aIExY8agffv2Je5P2/N05MgR/Pzzz6JVuYpYW1tj+PDhGDp0qOh1zsvLw/bt27Ft2zYkJycXa+fh4YHp06ejc+fOJfZL02dcfn4+fv75Z+zevVtjYrCDgwOGDBmCd99916D3cX5+Pvbu3Yvt27fjwYMHGutYWlqiS5cuGDdunM5rUGxsLPr06SOUS4rV3bt3D4MHDxZt27Bhg857PsePH8fcuXOF8vbt23UmgCqVShw4cAC//fYbIiMjNdaRyWRo27Ytxo4di+bNm2vdV5ElS5YI1xgPDw/s2bMHALB3715s27YN9+/fF9X39vbm4HYiIiIiIiI9VadYM3NVn2GuKnNVKxPGmhlrLommz4Xc3Fz88ssv+OOPPzTm1NWsWRMzZsxAYGCgaHtKSgp++OEHHDhwADk5OcXa+fr64uOPP0aDBg209ue///7DrFmzhJi4j48PfvzxR5ibm5f4WD755BMcPXpUKE+cOBHDhg0rsV1VVvYpZomIiIiIqNJRDfqdPXsWKSkpWuseP34c2dnZAABnZ2e9EohKKy8vD4sWLcInn3xSYrAQALKzs3H27FkcP35ca53du3dj5MiROHPmjM5gIfD/qyGFhWHnzp0665VWWloaPvjgA3z//fcag4VA4eq/27Ztw4cffqhxoKQmJ0+exNChQ3Hu3DmtQYywsDBMnToVv/76q8H9XrJkCTp06CD8+/vvvw3ehy5RUVHCz5aWlqhbt65e7aytrUWzQ96/f9/os08aIi0tTRRAdnV1NXogRz35ztizLhqLu7s7WrduLZRVA4LqCgoKcODAAaHcq1evUh83JycHixcvxvjx43Hp0iWd7/m7d+9i/vz5mD17tnCN02XMmDHYuHEjbt26pTNYCACRkZH49NNP8dFHH+n9Pla3bds2TJw4UWuwECgcVD527FhcunRJr33269dP9F6Ojo4uVd/UtWrVSjTQ/OLFizrra/p9UFCQzjaqv/fx8dE5sH3dunUYOXJkiTeJIiIi8PHHH+Ojjz7S6xzQ1H7o0KH4888/S/06a5Oeno6pU6eK3juvvvoqVq9eXWxg+4MHD/Duu+/i119/LXFgO1CYlPr777/j8ePHWuvMmjVLCFbrGtgOFN4oWblyJSZMmKD1s40qhvp5qe0mU0REBFJTU4Wyv7+/3sdQrZufn48rV64Y2EsiIiIiqqyqS/xQka3ApQuXcfrkWa119v/1D6ZP/AhB53XHEoDCQXURt25j7+/7DO67PtLT0zFv5gJsWb9V48B2oDD+8cfOPZj30UJkZmRqrKPu3Onz+HDMVFy+eEVr/OzunTtYsXQJ9v/1p8bf67Jy5ad4/fWOwr+jR/cbvA9dHj6MEn62tLRErVr6xQ/lcmt4ej5L6Hv8+DHjh5VERcYPFy1axPihFqaKH6pLS0vDlClTMGvWLISGhup8X964cQNTpkzBF198UWKcSpOvv/4a8+fP1ziwHShM0v3hhx+wdOlSYVtGRgY+/PBDfP/99xoHtgOFq7nNnj1bSM43REZGBj744AOsX79e64pXKSkpWLt2LcaNG4f09HS99puQkIBRo0bhiy++0DqwHSi8D3X48GEMGjRI5/0eNzc30f2a0sR9S2qjGvd1dXXVObA9NjYWI0aMwKeffqp1YDtQGKO6cOECRo8ejc2bN+s8via5ubn4+OOPsWzZsmID24mIiIiIiMhw1SXWzFzVQsxVLcRc1cqDuarPd6y5NDIyMjBp0iSsX79e62IxT548wUcffSS6Bt27dw9Dhw7FX3/9pXFgOwBcu3YN48aN0/m50qlTJ9FiUmFhYVizZk2J/f79999FA9tfeOEFDB06tMR2VV3lnFaDiIiIiIjKxM/PD15eXnj8+DHy8vJw+PBhvP322xrrqg+sk8lkJuvX5s2bcfDgQdG2pk2bokmTJnBycoJMJkNGRgaePHmCiIiIYjMPqrt8+TK++uor0TZPT0/4+vrCzc0NFhYWyMrKQnx8PCIjI3H37t0SAwGllZ+fj3nz5gmDvmrVqoXWrVujRo0aUCgUCA0NRUjIsxWIbty4gVWrVmHevHk69xsUFIR58+aJkrqsra3RqVMn1K1bF5mZmYiKikJQUBAUCgXWrFkDS0tLkzzG0sjLyxMFLdzd3fWamVC1flFykUKhwJMnT+Dp6Wn0fpZEoVBgyZIlosGBo0ePNvr7Rf39oWt17IrWu3dvIZB1+PBhfPjhhxqfj6tXrwrvZTMzM/To0aNUx1MoFJgyZYpoVlSpVIrmzZujcePGcHBwgEKhQFRUFC5dugSFQgGgcHWgGTNmYPXq1Xq/XnXq1EH9+vVRs2ZNWFtbo6CgAMnJyYiIiBCtMnTmzBksXrwYX375pUGPZf/+/cIq5TY2Nmjbti1q1aoFc3NzPHr0CGfPnhVmRs3KysL8+fOxY8cOODg4GHQcYzEzM0O7du1w4sQJAIXXpQkTJmitr2kge1BQkNbZlnNzc0XXR12zH3/zzTfYtWuXaJubmxvat28PFxcXpKWl4dq1a4iIiBB+/99//2HKlCn4/vvv9Z5hNiUlBbNmzUJMTAyAwhlQW7VqBUdHR6SkpODmzZsGXctUPXnyBDNmzMDdu3eFbe+//z7Gjx9fbJ85OTmYOXOmaEV0a2tr+Pn5oU6dOrCxsUFeXh5SU1MRFRWFiIgIg4PYHh4eaNiwITw9PWFjYwOpVIrU1FRERkbi2rVrQmA+NDQUs2bNwvr16zXOImpmZgaZTIaCggLRZ61UKtX6XOkzmyxpFx4eLip7eHhorKeeDNysWTO9j+Hj4yMqq563RERERFS1VaX4Yf0G9VGnfm14eLhDKpMiMzMLMU9icC/yHmKexurc37Wr17H22/Wibe413eHTvClquLrAwsIc2VnZSExMQtTd+3gQ9cCE8UMlvli8AteDC1cXr+lVEy1btYCTsyNyFDkIvxWBsOs3hfrhYeH4ae0mTJ75gc79Bl8JwRdLvhLFDy2tLNHUpwUaeTdGvjIf9+/dw41rIcjNycHOX7bCwqJyxQ9jYp7FD11cDIsfurp64NGjwkGeOTk5jB9WIhURPxw5cqQo+Y7xw/KXlJSECRMmiBKJzc3N4evri4YNG8LOzg6ZmZm4ffu2aLWjP//8EwqFAgsWLND7WFu3bsX//vc/AICTkxM6dOgAd3d35Obm4vr166Jkzf3798Pf3x+9e/fG3LlzhZV86tati9atW8PJyQmpqam4cOECHj58CKAwGfarr75Cq1at9E6EBoBly5YJ+3d2dhb6lZ6ejuvXr4sSH0NDQzFlyhSsW7dO58o9KSkpGDt2rGhCS4lEgpYtW6JZs2aQy+WIiYnBuXPnhAH7ubm5WLp0KRQKBd58802N+w0ICBDuwQQFBaGgoEDrNVhb3HfUqFFa+63apm3btlrrPXjwAJMmTRIl48vlcrRq1Qr16tWDjY0N0tPTERYWhhs3bqCgoAAFBQX48ccfkZeXhzFjxmjdt7qVK1cKqwQ6ODigXbt28PDwgFKpxKNHj7ROSEBERERERESaVaVYM3NVS5er2r59e9SuXRv5+fm4f/8+c1VNjLHm4pir+nzGmkvrk08+EWLD6vHf8+fP49GjRwAK479ffPEFWrZsCVtbW0yePBlxcXHCa120SFNMTAxOnz4tTN6SlpaGhQsX4pdffoGFhYXGPkyYMAHXrl3D9evXAQA7d+6En58funbtqrF+eHg4vv32W6Hs5uaGhQsXljpHtSrh4HYiIiIiomqqZ8+e2LhxIwDgwIEDGgOGT548ERJsAGgdeGgM2dnZ+O2334RyrVq1sGzZMjRu3FhrmwcPHuDw4cNaf79p0ybhZysrK8yfPx/du3fXWj8pKQknT54scQXh0jh+/Dhyc3Ph4OCAOXPm4KWXXipW5+LFi5gzZ44w8PDvv//G+++/L5rxUVVGRgY+++wzUbDwlVdewUcffSQkUiUnJ6OgoAAJCQlYtmwZzpw5IwQiKoOEhATRjIWGzu6oXj82NrbcAoY5OTmIjo7GpUuXsHPnTiGhDQDeeust9O3b16jHUz/fZTKZ1kBGZdC1a1esWLECWVlZSExMxIULF/DCCy8Uq6d6U+LFF18sddDr66+/FgULu3Xrhg8++EDj+ZCYmIhvvvlGmMXw8uXL2LJli84kuxYtWqBr16548cUX4eLiorVedHQ0vvnmG5w+fRpAYUDyyJEjeOWVV/R+LJ9//jkA4J133sHYsWOLrVKelJQkugGRlJSEnTt3YuzYsXofw9g6duwoDG6/desWUlNTi60wDhQ+90WDX2UymfD+1zWj5/Xr15GVlSWUtQ1uP3XqlGhgu7m5OaZMmYI333yzWBDvwoULWLJkCRISEgAAISEh+PHHHzFp0iR9Hi7+/PNP5Ofnw8PDA/Pnz9cYvM/NzdVrX6pu3bqFGTNmCP2SyWSYNWuW1uvJ0aNHRaswvfHGG5g6darWle3z8vIQHByMPXv26BzIX79+fbz22mvo3LmzzmtqYmIi1q5di337ClcsvHnzJrZv345hw4YVq7t7924Ahe831ed5zZo1otlzyXjUVw7r0KGDxnrqA9IN+RytWbOmzn0RERERUdVWFeKHM2fOhJuXC3KU2XBxLf59/fGjaJw8dkrrPnf88ux7pKWVJabNmozAl17UWj8lOQXnTl9A8OXg0j0IHU6fPIO83DzY29vhgxmT8EKn4n/DB18OwbJFXwgrth85cAxvD34TNb1qFqsLAJmZWfj2yzWi+GH7F9rhrcGDYG5pj3p1C1fITU1LQ3JSIjau/R4hVy5jx9YtRn98pZWUJI4furgYFj+sUcNVVGb8sPIo7/jhp59+KopBMX5Y/goKCrB48WJhYLtEIkH//v0xevRoODs7F6sfHR2Nzz77DJcvXwZQeC60bdtW78+a9evXQyKRYPTo0Rg6dGixRMITJ05gwYIFQhzvp59+QnJyMi5cuABbW1vMnTsX3bp1E7XJz8/HunXr8MsvvwAofJ9v2rQJixcv1qtPoaGhyMnJgUQiwahRozB8+PBicbrLly9j0aJFwkDu0NBQbNmyRecA7WXLlokGtjdq1AhffvklvLy8RKuI5eTk4KeffsLWrVuFbd9++y18fX01ru7Vrl07Ia6XlJSEO3fuaKyXl5cn+ntAKpVCqVTixo0byMrKglwuL9bm6dOnQqIooD3uq1AoMHfuXOH5MDMzw7BhwzBkyBDY2toWq3/79m0sWbIEt2/fBlA4WKF169Z6JWDHxcXhjz/+0HnelCbuS0RERERE9LyrCrFm5qqWLld15syZxeJ1zFU1PsaadWOu6vMXay6t69evIy8vD7a2tpg3b16x81o9/pubm4tNmzYhIyMDcXFxaNiwIRYuXFjs8yItLQ1z584Vrun379/HgQMHtL43zczM8Nlnn2Ho0KHCoPjPPvsMjRs3hpeXl6huRkYG5s2bJ6wWL5PJsHTp0io9wYAhuDwSEREREVE11bt3b2GwX1hYGO7du1eszoEDB4SkF29vb40JK8ZSlOBS5JNPPtEZLAQKZ6QbPXo0Ro8eXex3RQP4igwbNkxnsBAoXLmjX79++OyzzwzrvB5yc3NhbW2NtWvXagwWAoVJQjNnzhTKBQUFOHDggNZ9/v7776LVert164YlS5Zo/MJao0YNfPHFF2jbtq3wBbcyKJrRr4i1tbVB7dXrq55DxjZ27Fi8+OKLwr/OnTtj0KBB+Oqrr4RgYc2aNbFw4ULR62gMSqUSy5cvFyVN9e7du0Jm/tSXXC4XBX72799frE52djaOHz8ulEt7U+Ly5cuiQZyDBw/GsmXLtD4/zs7OWLp0qWjmzW3btiEtLU3rMVatWoW+ffvqDBYChYNCv/zyS7z44rNE+J07d+r7UAAUXi/GjBmDadOmaRyk7OTkhM8//xyOjo7CNtXAa0VQDQYrlUqtg9WLVvcBCpMVi57PuLg4jZ9DRW2KyOVytGzZslgdpVKJVatWibYtWrQIb731lsbZKdu3b4/Vq1eLriG//fabaHZeXfLz82Fvb4+1a9dqTYrUtZKSJqdPn8aECROEge3W1tb4+uuvdd58UH1u6tSpgzlz5mgd2A4UBkXbtm2LpUuXomnTplrrLVmyBIMGDSrxGuPs7Ix58+aJVnbavXu36EYQVYyLFy/i4sWLQtnOzg6BgYEa68bExIjK2lZ410S9rurfJURERERU9VWF+GGDBg10tvGq5Ykh7w/CkPcHFftdXl4eblwLFcpvD35T58B2AHBwdEDP13vg44WzDOx9yfJy8yCXW2H5ys80DmwHAL82rTD+w2eDGwsKCnD8yL9a97l/zz+Ii322yu2LnV/AhCljYGNb/Lujo5MTpsz6GD4tfSvVwL3sbHG8Ty43LH4ol4sfK+OHlUd5xw+LVvAGGD+sKPv378f58+eF8rRp0zBr1iyNA9uBwufq22+/hb+/v7Dtp59+0jv2lJeXh6lTp2LUqFEaV8jp2rUrhgwZIpSfPn2KH374AWZmZvj222+LDWwHChMHJ02aJIpR/vvvv8jOztarT0X3ZyZMmIDRo0drnICyTZs2xWKXW7duFeKG6i5fvoyTJ08KZU9PT2zduhXNmzcvVtfCwgITJ04UDZTPyckRrfqj3hfVVaRU402qwsLChGT4evXqoVmzZgCKD3pXpb4vbYPbt27dijt37gAoHDS/bNkyjB07VuPAdqDw75G1a9cKk0ArlUps2LBBY111RefW9OnTtZ43hsZ9iYiIiIiIqGrEmpmrqjtXdffu3cxVZa6qUY9jTMxVff5izaWVl5cnxH81TdigKf575MgRnD59Gp6enli7dq3Gzws7OzssWbJE9BwePHhQZ1/UV19PT08XDWIv8tlnn4kmCZ0wYQJ8fX31e8DVAAe3ExERERFVU15eXqIvN5oCU6pfQHv16mXS/iQmJorKRYkvpZWcnCxKcCrr/oxhzJgxJSbc9ujRAzVq1BDKN27c0FivoKAAe/bsEcrW1taYOXOmxkGcRczMzDB37lydq/WWN/UAn6ZEIV3U65syYJifny/6p65Zs2b45JNPTPJe2bhxoygBzMnJCRMnTjT6cYxN9bk4ffo00tPTRb8/ceKEEDR2cHAQBdkMUTRLIgA0bNhQ79W3p0+fLqwYk5mZiUOHDpXq+OqkUqnoRsaNGzeE2RX10bhxY4wYMUJnHXt7e7z22mtC+enTp4iPjze8s0bi7e0tCqZqm1VYdXu7du3Qtm1boawtMVK1jZ+fn8Zr2OnTp0UD019++eUSbxI1bNhQlMSZn58vrEKkj4kTJxZbtbq0du/ejdmzZwvXMFdXV/z4449aV9ouovrZ2bhxY0ilFRPKGzlypHDs2NhYYVUkqhhZWVmYP3++aNuIESO0TnygfvNO1wQJ6tTrqu9LXxKJhP/4r8r+43nMf8/TP57v/Kf1X3X7T6J2vpv4WJXhn7a/z2rVqlUsfqjeVjV+WJSgqG3f+vZD2+/V44c+Pj5leo3SUtKgVCqF/Xk38Tbaayt63Drrieu+O3wI6tWvq7PNS927wMnZSWgTHhaued8FwMH9z1ZWkVvLMXHKOEikUkCCYs85IIGZmTlGjZ8Emab4oUSi/Z8muuob8C9LbXC7uYWFQe01xQ9N9V7SJ344f/58je+Vsv7btGlTsfjhpEmTTHrtKO11RnW7agLh6dOnkZGRIfr9v//+K4ofBgYG6rVf9X+qq1Q3atQIH3zwgV79njFjRrH4oTGeD5lMJopL3bhxA6mpqXo/h40bN8bIkSN11ndwcCgWP0xISCj1a2WMc+DXX38V9t2xY0e88847JbYzNzfH7NmzhX1ER0fj/PnzevW/efPmGDRokM799+/fX9RGqVRi8ODBaNGihc52/fr1E9ooFArcuXNH7+e1SZMmGDp0qM76DRo0EMWYc3NzsW/fPo11d+3aJdr/7NmzhftM2vY/YsQINGnSRGhz6dIlREZGFqtna2srur926dIljftTj/u2a9dOKAcFBZXYpl69enBzcytWR6FQiGK2/fv3R5cuXUo8b+zs7DBt2jShXXBwMO7du6fX6+Pr64uBAwca9fw35T8iIiIiIqKqgLmq5Y+5qsUxV1U/zFXVjbmqFZ+rWlbvvPOOxolBVanGf4vuJc6cORP29vZa2zg5OaFLly5C+ebNmyVO1PrCCy9g6NChQvnWrVtYvXq1UN61a5doUoYXX3wR7777rs59VjeV51OEiIiIiIiMrnfv3ggJCQFQOEPY+PHjhcFp165dE2b6kslkePXVV03al6Iv7UUiIiI0rs5blv117Nix1PsrK3Nzc52r7xaRyWTw9fXFiRMnAABRUVEa60VFRYkGcnbt2lXr6iaqPD090bFjR/z333/6dRzAggULsGDBAr3rG0J9hjlDV7xQDxgqFIoy96m0bt68KczY98knnwirgpTVyZMnsWnTJqEskUgwd+5cODk56WhVObRp0wbu7u6IiYmBQqHA0aNHRUEf1RsVr7zySqmC2QkJCaLVft5880299+Po6Ii2bdsK74fLly/jrbfeMrgPmjRs2FBUDg0NFa1ursuAAQP0GqTs7++Pbdu2CeWoqCids3Wq3mQwhbZt2wqzTWob3K66ontAQAAcHBxEbd555x1R/YyMDNy8eVN0DE1OnTolKg8ePFivPvfv3x8bNmwQAtenTp3C5MmTS2xnbW2Nnj176nUMXQoKCrBmzRrR69ioUSN88803cHNzK7G96mfd7du3oVQqK2SAe40aNeDk5CSsHnXjxg2dK8OTaS1evFj094N6MrQ69QHphty8s7S01LkvfanO7ktUVWmakZ6ouuL5TqoUCgWkFoBCaQ4HB+0386sqe3s7k+xXoVDAUiqHndyhwv8WUk/usbS0FPXp7bffFuKHhw8fxpw5c4TvHVeuXBHFDwcOHChqq/r9RCaT6Xysqt/lzczMNNZ1dXUVlaOjo+Hp6Vnqc9BMZSVaAIh++BgOr7xk0D40sbQS/52sq19S6bPkP3Nzcwwc8hasreVa6xdp5d8S/x4r/C786GG0xmPcuxuFmCcxQrlr9y6oW68O4uLiIJXkQ6F49vrYqax+a29nhzZt2+Hi+bPCNrncGg722q//ixZ9jUWLvi6x36VhoRYvtC6hL+psbcXv45LOxbIoKSZ18+ZNTJw4Ef7+/li2bFmJyaX6Onr0KDZu3CiUJRIJli1bhvr16xtl/2Wl/j3TwcFBSADr3r07atasiSdPnkChUODs2bMYOHCgUPfIkSPCz2+88YYo9qW+UpKNjY3G1zY+Pl4UP3zvvfdKXPGmiKOjIzp27Cgkj12/fl00KL0s2rRpIypHRUWJEt9UWVlZicpDhw7V635Ap06dRHGnuLg4NGrUSGv9f//9t8R9lta1a9dE8YqRI0fq/V709/dH48aNER4eDqAw1vr6668Xq6f+PA0ZMqTEYzg6OsLFxUWUjPn++++X2E79ftPTp0/RqVMnjXXVrw3vv/++Xq/f+++/j/Xr1wurwv/333+iAdtA4T0W1fO7YcOGorilrr/dR40ahVmzZgnloKAgjfHXwMBAIbk9ODgY1tbWxd7XqqvTvfTSS7Czs8PmzZsBFMbd1Z/PgoICXLlyRXQMTc/5P//8I0rGHTVqlN7nzauvvgoHBwehfVhYGFq3bl2snvpjeffddyv87zMiIiIiIqLqiLmq5cfYuaqRkZHMVQVzVSs75qo+UxlzVSvTJI0DBgwosY764HcPDw+9rustWrQQJmvJzs7GkydPUKtWLZ1txo0bh2vXrgkx1t27d8PPzw9eXl747rvvRH1YsGBBpXouywMHtxMRERERVWMvv/wyvvnmGygUCsTGxuLy5csICAgAIJ4Js3379qIZGk2hWbNmkEgkKCgoAFA4MGvJkiXw8fEp1f5sbGxQt25d3L9/HwCwadMmeHp6onv37hUy8K9p06bFku20UV0JOC0tTWOd0NBQUbl9+/Z696V9+/YGBQxNST3gl5uba1B79YCj+iA7Y1JNEFUqlcjIyMDDhw8RFBSEP/74AzExhcnC169fx+jRo7FmzRrRyielERISggULFgjvCwAYPXq01iS5ykYqlaJnz574+eefARQGCIsChrGxsaKBzqqrNBlCNWkOKFzZ2xC1a9cWftZntenMzEycPHkSly9fxp07d5CQkICMjIwSg9WxsbF690lTgp0m6quGp6am6n0MUwgICBAGqj969EgYZFDkwYMHePr0KQDA2dkZjRo1EiVXXr16FXl5eaKA7+XLl0WzV6qu+KPq+vXrws81atQocWbNIlZWVujYsSOOHTsm9DspKanEgLyPj0+xZFlDKRQKLF68WDSzZrt27bB8+XK9V8728fERko7v37+Pzz77DJMnTzbagLPc3FycOXMGFy5cwJ07d/D06VNkZmYKCbWqVF+nuLg4oxyfDPfzzz/jzz//FMoWFhZYsWKFzs9H9euXIYPb1etqOjeIiIiIqGrr1asXPv30UygUCjx9+hQXLlwQkjdUE1MCAwP1HixaWkWr6BbFSWbNmoV58+ahVj3PElpqZmNrg7r16uB+1AMAwOaftsKzVk10ffmlCokfNmnWWK+B7QDgUdND+Flb/DDsxk1ROaCD5gnjNPFr00Y0uL0iWViIv88YGj/MzRXHD8v6fV4X1dWTlUol0tPTERUVhXPnzmH79u148uQJgMIYyDvvvIOff/651PHvIpcvX8aMGTNE8cMPPvgA3bp1K9N+y4tUKkWfPn3w448/Aii8rhQNbo+JicG5c+eEuvok5GqiPgmjtskTtalXr57ws+okjNpkZGTgyJEjuHDhAsLDwxEXF4f09HTk5OSIXid1RXEzfRTdxymJl5eXqFyR8cOLFy8KP0skkmKD+0tSr149YXC7Pq8DoP9r7e7uLgxud3NzE8WMtfHw8BCVtV2LNenatate9WxtbdGuXTthYs/w8HBkZ2eLrmM3b94UxXa6d++udz9efvllSKVSYeUh1RW5VL3wwgtYt24dgMIVya5evSq6J5WZmSnE6c3MzNC+fXtYWFjA2toamZmZuH37NuLj40V/J4SHhwsTZQLFJwsoovr+dXJyKpaoq4tUKkWtWrWEwe36njeG3G8jIiIiIiIi/TFXtfwYO1e1aFKCIsxVLcRc1cqFuarPPA+5qqXl6upaLG6uifrCRL6+vnoNKldvpz7JuCYymQyffvophg0bhqSkJADA8uXLYWdnJ1ynzMzMsHTp0udyIQIObiciIiIiqsZsbGzQuXNnYfWTAwcOICAgAAqFQhjoB5T+i7whXFxc8Morr+Dw4cMACgcYjhw5Et7e3njhhRfg7++PFi1awFZlFaGSDB48GJ9//jmAwoFb8+fPx3fffYfAwEC0bt0avr6+eq2MawzqK0vpojqTp7YVUB8/fiwqG5LQY0hdU1OftVQ9AFgS9frq+zMVqVQKOzs7+Pj4wMfHBwMHDsTy5cuF8zctLQ3z5s3Dr7/+WuqE2Tt37mDmzJmiQNSAAQMwatQoozyG8tK7d28hYBgSEoLHjx/Dy8sLBw8eFJLm6tWrV+qbAxEREaLy0KFDDWpf1AcAohVg1OXl5WHnzp3YuHFjqVYmNiSYp+/1Qv18z8rKMqhPxqaeVBsUFCRKOlZNRGzbti0kEgnc3NyEmzsZGRkICwuDr6+vUE816dXJyUnjylIFBQXC7M0A0LhxY4P63aRJE9Fn3v3790sc3F7W2W5TUlLwwQcfiAblv/HGG5g9e7ZBs8K+8cYb2Lp1qxAE3b9/P44ePYqAgAC0a9cOrVq1QqNGjSBTW41QH3///Te+//57IWBqiKoavK7qDh48KPzdU2TJkiVo0aKFznbqN9sM+SxWr1vaz7zk5ORStSOqaBKJRLhxlJKSonOgClFVx/OdtElJSUF6dipylNkmTeIpTxKJRFixPTU1zSTne1pqGhTSXChzTJv8pA/1v98VCkWxv89U44e7du1Cs2bNoFAoRAmHPXr0KNZO9Tt3fn6+zr/78vLyRD9rqmthYSGKHz548ADjxo1D3bp14Nu6JQI6tEXTZk1gY6vfhGEA8MaA17Hmmx8AADmKHCyc8ym+++YHtOvYDr5+LdCseTO4uBqWSKnIFicVpaRo/46kVD47vxwcHXTWVSVRWfE9KzNLY7t7kVGispuHG1JSUpGaloaMjDzk5prBBYUDDdPS00Xnuou7eNBmVlYmUlK1x01MSXUyNQDIzMwwqC9p6eKEzIKCgnL9DlKnTh3UqVMHffr0wfLly3Ho0CEAhe+9Dz/8ENu2bStT/HD8+PGiicbefPNNvPfee5Xqe5b6d8eUlBTR9aF79+7C4PbLly8jNDQUXl5e2LFjhyh+WKdOHdHjUo/RZWRkaHzc6gN2DR0kr9rXpKQkrc9tXl4eduzYUer4YUxMjNZ9q08mZ2VlpddrrHptBQpXsa+oc0M1CbqgoEDvAfpFVF+HhIQEjY+jtM+TamKzi4uLXm3U/z5ITEzUeW4UcXV1hVQq1ft1qF+/vjC4PS8vD9evX4e3t7fwe/WJkOvWrYuUlBS9/3avXbu2kHh/584djf1q0KABrKyshOf3xIkTomTps2fPCkmWPj4+yMvLQ15eHlq1aoVz586hoKAAx44dE626pxqPlclkaNq0qcZjq8ZPk5KSDL6PoD4hp6ZjqF6jrKysIJfLK9U1tCRcZZ6IiIiIiKoK5qpW3VzVhw8fisrMVdW8P1Nhrqr+mKta6HnIVS2t0j7e0rbT9/VzdXXFokWLMG3aNGFCi4yMDOH3EydOLDEHsLri4HYiIiIiomquV69eQsDwxIkT+Oijj3D69GlhFkZbW9tym3lv1qxZePLkiShZ5fbt27h9+zZ+/vlnSKVSNGrUCG3atEH37t1L/KLWr18/3LlzB7t37xa2xcbG4o8//sAff/wBoHA2udatW6NLly7o2LEjzM3NTfLYjL0ikPosmfb29nq3rUwzt6nPEGpoIEa9fnkFDNXJ5XIsXLgQsbGxwuyMjx49wt9//4233nrL4P09evQIU6ZMEb3OL7/8MmbOnGmsLpebunXrwsfHB2FhYQAKZ9odM2aMKAG+LDcl1JPM1BOeDaFtlsS8vDwsXLhQdCPFUIYEw0t7Hlf0ACN3d3fRLMS6BrerrsAeEBAgaqM6uF3TgHh1GRkZotfd0NmbnZ2dRWV9gruG3LzSRPVzCQCGDx+O8ePHG7wfJycnLF++HHPmzBHOX4VCgdOnT+P06dMACq+zvr6+6NixI7p3767XSoqrVq3Cjh07DO5PEUNv/lDZnTt3Dh999JHoJsiMGTPQv3//EtuqfxYb8vqpzwSs78zf6ir6+kVkDAUFBTyX6bnB851UFRQUQPW/akHlYRQ9PuMf4v//qwTvJ03HV9+mT/wwMDCwWLuSytp+p+t50RQ/vH//Ae7ff4B9f+6HVCpFvQZ14evfEoFdXkRTH90rlfR8vQei7kbh7z3P4hTxcQn4Z+8B/LP3AADA3cMNLVu1QIfA9mjTrnWJ8UP1c0b3OfTsd1Zyy1Kfb5rapaWJ4xy2draF9QoKUPg/8XOu2hdbOw3feyvoXLWyUk8EyjCoL1mZGaKylZVVhbzvrKyssGDBAsTExIjih/v27St1/HDy5MnF4ofqq7hXBpquBarb6tSpI4of7t+/X2P8UJ9rjKbHbuz4oaZjGCN+qFAotL526tv1PY/V6yiVygo7P8rjdVDfZmlpafDjLU0bQPdzq7rdycnJoP1ril2qtlePZTo7O+v9mVpUvyg2m5ameVIfMzMz+Pn54fz58wAKJyQdN26c8HvVCUoDAgKEfbRt2xbnzp0T6vTo0UNjm2bNmsHGxqbC3r+q2+zs7CrdNZSIiIiIiKg6Ya5q1cxVVY8/MFe1EHNVKx/mqhZ6HnJVS0vfScfV81RLe1015Hlq3749hg0bhi1btoi2d+rUCUOGDCnV8asDDm4nIiIiIqrm2rdvjxo1aiAhIQFZWVk4ceKEEEAECldNKa8VpGxtbbF27Vr89ddf2LlzJx48eCD6vVKpREREBCIiIrB9+3Y0bdoUkydPRuvWrbXuc+bMmQgMDMTPP/+M4ODgYl8Unzx5gv3792P//v1wdXXFqFGj0K9fP1M8PKNSDz4YEug0VVC0NGrUqAGZTCYEeWJjYw1qHxMTIyqX1+ymmshkMowePRoffPCBsO3ff/81OGAYGxuLDz/8EAkJCcK2Dh06YNGiRZBKpUbrb3nq3bu3EDA8ePAgXnjhBURFRQEonFm0Z8+epd63tiBfaWgLJG3fvl0ULLSwsMDLL7+M9u3bo0GDBnB1dYWVlRUsLS1FQa0OHTqUuO/qRnWg+qVLl1BQUACJRAKlUokrV66I6hVp166dcGMnKChImPE1NjZW2Jd6G1XqNw4MDSSW5saFIaura2JpaSkaFBwcHIyMjAzY2Oi/umCRgIAA/Pbbb9i8eTMOHTpUrP+ZmZk4f/48zp8/j9WrV6N379744IMPtN48Onr0qGhgu0wmQ2BgIAIDA+Ht7Q03NzdYW1sXO9/79euHp0+fAnh+zvfK4tq1a5g4caLob4NRo0Zh7NixerVXfw+ozvpaEvW6pR3cTkRERESVW1WLH969cw9379zDnv/tRaPGDTFqwgi0bKU98XD85LEI6BiA/23bjdDrYcW+08Q8jUXM0+M4eug4nGs4Y8j7g9Dz9R5a9lZ5FK2iW8TMXP/vsuZmlSd+6OQkjh8mJMQZ1D4+XhxvZPywcmL8sPrHU4z5OqhO7lfVGJosqh7rVF8RST02Y+j+VWM5umJCAQEBwuD2W7duIS0tDXZ2dgDEE5Sqx32LqNbJzc1FSEiIxjbqyvu8kclkRjseERERERERFVfVYs3MVS3EXNVCzFWtGhhrrv6x5urMwsKi2LYXXnihAnpSeXBwOxERERE995KTEqEs0D9RJjkpEZnJWVAqsmBjU/o/qSUSiTDwLSUlpVRfNlUDDkDhADdNAZlOnTphz549AIBff/1V+CIPAB07dtTYRjUJJC8vT2egRz2RUhczMzO8+eabePPNN3H79m1cuXIF165dw7Vr1xAXJ05cvHXrFj744APMmTMHb7zxhtZ9dujQAR06dEBMTAyCgoIQEhKCGzduICoqSvS8xsXF4fPPP8f169cxf/58vftcEdRXDc7MzISjo6NebQ0ZtGZqZmZm8PLyEoLDMTExwmBYfaied1ZWVqhZs6ZJ+qkvPz8/mJubC+f8nTt3DGqfnJyMyZMn48mTJ6J9fv7552UeTFuRXnnlFXz77bfIzc3F48eP8fXXXwu/a9OmTZkCvao3NKRSKU6ePGnUoHhubi5+/vlnoVyjRg2sWbMG9evX19nO0Jldq4u2bdsKA9WTk5MRERGBJk2a4NatW8IsvnXr1oW7u7vQpk2bNsKNgxs3biAzMxPW1taihMeifWuiPpg2OzvboD6rv1blMTh30KBBiIqKwsmTJwEUDm7/8MMPsXLlylLNWOzm5obZs2djypQpuHr1KoKDg3H9+nWEhoaKBtHn5+dj3759uHjxItavXy96HYr89NNPws9WVlZYtWoV/Pz8SuyDemItlY+IiAiMGTNGdB6//fbbmDVrlt77UD8PiiYp0Ifq5xUAeHh46N2WiIiIiKoOmUyGV199Fb/99hsAYMeOHYiMjBR+X5ZVLkpDNX544cIFXLoahPDwW4i8fQ8J8eJ46J2ISMybsQAfzJiIHr1e1rrPNgH+aBPgj7jYOIRcuYawGzdxKzQcDx88EsUPExMSseabH3Ar9Bamzp5sssdoDDY24u+3WZlZcHDQb0WdrKzKE9cwMzODh4cXHj8ujB/GxxsWP4yPf5ZwaGlpyfhhJVWe8cNTp04Z9bli/FA/qq+Dq6sr9u3bV4G9qTiGxtDUY53qg9fVJ8s0dP+q56GuiTdVY7P5+fm4fPkyXnrpJSQlJQl/E1hbW4tWsWvUqBGcnJyQlJSEmJgYPHjwAHXq1MH169dF/dQW9wXE542vry/Wr19v0OMjIiIiIiKiyqUyx5qZq6pd0QR3RZirylzVyoy5qlRVXb58GRs3biy2ffXq1fDz8yvxPKiuquY0G0RERERERqQsUEKZq0CBIkO/fzmZKMjLBBSZUCoykJ+dVsp/qcjLLPyXn51aqn0oFeLAUEF+rsZ6LwW2F+rcvXtXGLju4e6OJg1qa2xToDLgv0CZr7MfBcr8Uj333t7eeOedd/DZZ59h37592LVrFyZPnoy6des+e32USnzxxRd4/Phxiftzd3fH66+/jnnz5mH79u34559/sHDhwmKJM/v378eBAwdK1efyoh4cLMtAtIpWr1494WeFQiGaXEGXjIwMPHz4UCjXqVNH70CjqZiZmYkGphoyU2NGRgamTp0qevxNmzbF119/bfBK1JWNg4ODaPbAopkxgbLflFB9LyiVSkRHR5dpf+qCg4NFr+PEiRP1ChIlJiYatR9VRdFA9SJFA9QvXbokbFNficfGxgbNmjUDUDhZytWrVwEAFy9eFOrUqlULnp6eGo9pY2MjOqb6xC4lUX+t7O31S/QvCzMzM3z22Wd49dVXhW1hYWGYOHGiwf1XZWVlhY4dO2LChAn44YcfcOzYMXz//fd48803RYP2Y2Ji8OmnnxZr/+jRI9E16L333tNrYHtubq5RZ6Yl/Tx48AAjR45EcnKysK1nz55YsmSJQftp2LChqGzIdVT9748GDRoYdGwiIiIiqjpUv79HREQIK5vUqlULrVq1qqhuoX79+uj1Wk9MnDoeP+/aiB+3/oBRE0agVp1aQh2lUokfVq7D0+iS42eubq54uWd3TJ75AX7Y/B1+/X0Lpn88Ba1a+4rqHT10HCeO/Gvsh2NU9moD2eNi9V/xPM7AFWtMrXbtesLPCoUCjx7d16tdZmYGoqMfCWVPT0/GDyspxg+rP9XXIT4+XjQh4/MkKSnJoPrq54l6Mrl6uSyxUfV9qWrcuLHoNVSN+xYl5vv7+4sSnyUSiej+W1G8VzXua2VlBV9f8WesKtVj6nMfkIiIiIiIiCq/yhprZq6qdk5OTqIyc1WZq1qZMdZMVVFiYiIWLlwofCZaWlpCKi0c1p2VlYV58+YZvOhTdcHB7UREREREACTKPEjysmBWoNDjXw7MlDmQIQfmSgXM8kv/T5afDVl+dunbK3NEj0OqzNNYr6GXOxrUrVPscXfr1FHrviUqs0hKUKCzHyjl4HZ1derUwZAhQ/Dbb7+Jggx5eXn4559/DN6fk5MTevXqhTVr1mDu3Lmi3+3du7fM/TWlxo0bi8qqAZiS3Lx509jdKRP1oPT169f1ahcaGipMxABArwGY5UF1tlFdyWCqsrOzMWPGDNy6dUvYVr9+faxatUrnailVyWuvvVZsm7W1NV566aUy7Vc9eFc0MNpY7t8XJ0t37NhRr3aV7X1WXuzs7NCkSROhrClhUX1wu/q2osTIy5cv62xTRCKRoFatZ4MWIiIiDOpzeHi4qKx6U8qUzMzMsGjRIvTv31/YFhkZifHjxxt0E6ikY7Rp0wYfffQRfvvtN7i6ugq/u3TpUrEAe9HMxEX0Pd/Dw8OFwCqVj5iYGAwfPlw0U3iXLl3w1VdfCYFtfakPbjfkb4rQ0FBRmYPbiYiIiKqvRo0aFYtHAUCvXr0qoDfaedXyRP+3++L7jd+i+6tdhe15eXk4dviEwftzcHRAtx5d8dlXSzB55iTR7w7tP1Lm/ppSA2/x3+cRN2/r3fZepGErvJiaj4944OPNm9f0ahcRIY4fqq4oXJEYP9SsvOKHV65cKdP+1DF+qB/V16GgoADBwcEV15kKFBcXJ5qosCS3bz+7dstkMtSuXVv0+zp1xPf2DImNZmZmipKydcVFJRIJ2rRpI5TLEvct+j/wbIUxbVTPm4SEhGLxSyIiIiIiIqp6qkqsmbmqzxQtWlKEuarMVa3smKtKVYlSqcTChQsRHx8vbJs1axZGjBghlO/evYuvvvqqIrpX4Ti4nYiIiIjo/8lkUjg7OZf4z9HBEU4OjnB2dIRLDWe4ubqU+p+7myvc3VxL3b6Gs3jGRLm1XGvdPr1eEdWVSCR4u29vrfVVV8k1MzPT2Q9jz1Aok8kwY8YM0eAt1QSf0ujTpw+aNm1qtP2ZWvPmzUWvwZEj+iXTFhQU4OjRo6bqVql06tRJVD5+/Lhe7dTrde7c2Wh9Kq0HDx4gKytLKLu7u5fYJi8vD3PnzhUl89WqVQurV68WzfRY1b3wwgvFHs9LL70EuVxepv2qJ8wdOnSoTPtTpz6jqb6reh87dsyo/ahKVF+TkJAQpKWlCTcCZDKZKAlSU5ugoCBERkaKgnW6BrcDEK3uk5CQUGzArTbZ2dk4f/68UK5Vq1ax2YZNSSKRYPbs2Xj33XeFbQ8fPsT48eNFiaXG4OHhgWHDhom2qX/WpaWlicr63vQw5HxXXb0JgOjGD+knMTERw4cPF80E3q5dO6xevVpnMrA23t7eomubIcnlqjdpZDIZWrdubfDxiYiIiKjqUE8ulEgklS7hsIhMJsO4D8eK4of3Iu+VaZ89er+CRo2fTQ5V1v2ZWpNm3qL44akT/+nVrqCgABfOnDFVt0qlfXtx3O/MGf0mKjh9Whw/bNeundH6VFqMH2pXXvHDw4cPl2l/6hg/1I/6qmTGjuNWJadPn9arXkZGhmgyhkaNGhVbOatp06awtLQUyqdOndK7H6dOnRLF5lq2bKmzvup76eHDh3j69CkuXbokbNN0jVXdduXKFaSkpIgSp0uK+/K8ISIiIiIiqp6qWqz5ec9VbdWqFXNVmatapTBXlaqSTZs2iSYEff311/Haa69h1KhRovjo33//XarJVao6s5KrEBERERFRddD7la6Ayhh0O1tbeNb0qLgOlcDGxgYODg5ISkoCAOTm5pZ5n15eXkJSjTH2Z0p2dnYIDAzEyZMnARSumnvy5El06dJFZ7u9e/cWW6m3otWpUwfe3t5CkPbixYt4+PBhsRVIVKWmpooCn87OzpViNsy//vpLVC4pYVapVGLx4sU4e/assM3NzQ2rV68WrbBcHZiZmWH+/PmiAbsdOnQo8349PDzQsmVLYfD01atXce7cOb1nrSyJtbW1qBwdHV1sNRx1d+7cwX//6ZcwXh21a9cOP//8MwBAoVDg119/hUKhAFA4k6+trW2xNi1btoRcLkdWVhYiIyNFgV+pVKpxQLyqTp06Yd++fUJ5+/btWLp0aYl9/euvv0Qz2JZ0DTWVDz/8ENbW1tiwYQMA4OnTpxg/fjy+++47o66E7eXlJSqrf9apn+9Pnjwp8XyPj48XPfclUT9Gamqq3m2p8CbG6NGjcffuXWGbr68v1q5dWyy5WV9mZmbo3Lkz/v77bwCFr3tISEix2arVxcTEICQkRCj7+/vD2dm5VH0gIiIioqqhd+/eokksbW1t4enpWYE90s3aWg57BzskJ6UAAHJz88q8z5qeHrgTEQmgMAmsMrO1tUW7jgE4d7pwUrfI23dx7vR5NG7aSGe7k8eOIi42pjy6qDcvr9qoX98b9+4Vxg+vXr2I6OiH8PTUHj9MT0/Ff/89S+hycHCsFCu3M36onSnjh76+vrh27RqAwgG2jB+WP19fX3h4eODp06cAChM/3333XTRs2LCEltXP7t278dprr5U4MfRff/2F7OxsoaxpZSkzMzN06NBBuFcUFRWFc+fOlTggQKlUYseOHaJtJSVlq1+v/vzzTzx58gQA4OLiojGO6eHhgVq1auHRo0dIS0vDtm3bkJ+fL/y+pMHtgYGBsLa2RmZmJgBg165dGDBgAGrUqKGzHREREREREVVuVS3W/Lznqtrb26NTp074999/ATBXlbmqlR9zVamquHz5MjZt2iSUGzRogJkzZwIozJtdvHgxhg4disTERADAihUr0KxZM9SvX79C+lsRuHI7EREREdFzwsHBHoPf7Cv8e/3V7uV6/Hv37okGGJYkKioKycnJQrlmzZqi3yckJAhJUvrIzc0VrfSrvr/KaPDgwaLysmXLdM7iGRISglWrVhl8nCVLlqBDhw7Cv6LBb8Y0YsQI4WelUokvv/wSBQUFWuuvXr1aNEvhsGHDiq0GrK5fv36ix6ErcHrr1i1RgpU+zp49i507dwplmUyGV199VWebFStWiGYydXJywnfffVepg/Vl8eKLL2LQoEHCv3r16hllv6NHjxaVFy9ejHv3DFs97c6dO8INCFXqCXnqQWF1qampWLhwocHnT3kw5D1QFi1bthStFqT6vtCWrGhubi4aSLtr1y7hZ29vbzg4OOg8ZmBgoOh9c/To0RJn1r137x7Wr18vlGUyGd566y2dbUxp1KhRmDp1qlBOSEjAhAkTRCsZqdN3hfoi6ityq3/WqScT7927V+f+cnJysGjRomKzxupSs2ZN0Q3Kmzdv6t32eZednY3x48eLXvfGjRvjp59+0jhphCHUE55/++23Etvs2LFDdK3r2bNnmfpARERERJWfg4OD6Hv966+/Xq7HNzR++PDBI6QkP5tQy93DTfT7pMQkxMbE6b2/3Nxc3AqLEMpuavurjPq+9Yao/N1X3+PB/YdaagMRt25i25ZNWn+vzcqVn+L11zsK/44e3W/wPkryzjvDhZ+VSiV++GGFzvjhTz+tRkbGs++rffr0F60upAnjhxXPVPHDUaNGicqMH2pmyvihmZkZhg8fLpTz8/Mxe/ZsxMXpfx0GCuNbOTk5RutXRbh161aJsZf79+9j48aNQtnMzAx9+vTRWHfgwIGi8pdffikkO2rz888/F1tBvaSJBjw9PUXXHtXrmfoK66pUY8KqcV9HR0d4e3vrPKaDgwPefvttoZyWloaPP/7YoHgkANHKR0RERERERFTxqlqsmbmqwKBBg0Rl5qoyV7WyY65qxSqvXNWqLCEhAQsWLIBSqQQAyOVyfPbZZ6IFbmrUqIHFixdDKi0c4p2VlYV58+aJJkWt7ji4nYiIiIiIysXRo0fRt29ffPPNNwgJCdEZLLpz5w4+/vhjUR31FSuioqLw5ptvYt68eTh58qTOL3JJSUn45JNPRAFGTStgVDZ+fn6iZKaUlBSMHj0a69atw+3bt5GTk4Ps7GxERETg22+/xaRJk5CVlYWWLVtWYK8169q1K3x8fIRyUFAQFi5cKKzGUSQnJwerVq0SBS1r1qyJ/v37G7U/mzZtwpAhQ7Br1y4kJCTorJuQkIAffvgBs2bNEq3Y1b9/f53JYGvXrsWff/4plO3t7bF69WrUrVu37A9ARXkEfCta+/bt8cYbz5K1k5OTMWrUKPzvf/8TVgzXJCsrC0eOHMG0adPw3nvvaUyk9PX1haOjo1Devn07du/erfEadfPmTUyYMAGRkZGQy+Vle1BVmIWFhWiguur1V9cMsapJjqptSlq9ByicpVJ1YDgALFy4EL///rvG1+rixYv48MMPRTeqhgwZUuE3iwYNGoQ5c+YIwciUlBRMmjSp2KD0IvPmzcO7776LnTt3IiZG+6p6SqUSe/bswbZt24Rt7u7uaNasmaiep6en6Lp17NgxrFu3TuNqhA8ePMCUKVNw6dIlSKVS0YQGutja2opuFvz+++84cuSIQTcNn0d5eXmYMmWKKBG3Xr162Lx5c4mTP+ije/fuaNy4sVD+66+/dCb93rt3T5Rg7erqKko0JiIiIiIyBUPih1F3o7Bs4eeiOi90Eq+c8fDBI4x+dxw+X/wlzp0+rzOGkJKcgi8//Rpxsc9iBy8EGmclDlNq4dscPXq/IpRTU9Pw6bzl2Pv7HjyJfozcnBwoFArcv3cXv/28GcsXLYAiOxuNGjepwF5r9uKLXeHt/ex7bHBwEL76aiGyssTxw9zcHGzY8K1ogL2Lixu6d9ed2Gcoxg+rlg4dOuDNN98UyowfVow33nhDFB989OgR3n//fRw8eFBnAmZqair27duHcePGYfz48Tpfs8rOwsICALBmzRps2rRJY9zt6tWrxWKX77//vtbVytu0aSNaKS06OhrDhg3TOKlkbm4u1q1bhx9//FHUp8mTJ+vVf20x3NLEfdu0aVPi6vUAMHz4cDRq1EgoX79+HSNGjMDp06d1/i0QHx+PXbt24b333sOcOXNKPA4RERERERE9P5irajh/f3+tuap3795lrmoZMNZctTBXlYxBqVRi4cKFovf8rFmzNK7IHhAQIJqU4+7du1ixYkW59LMy0D2VCBERERERkRGlp6dj165d2LVrF+zt7dG4cWPUrVsXdnZ2kMlkSEpKwq1bt3Dz5k3Rl/XOnTtrTJzJz8/HsWPHcOzYMVhaWqJhw4Zo2LAhHB0dYWlpifT0dERFReHq1auioIKHhwfee++9cnnMZTVt2jQ8fPgQV69eBQAoFAps3rwZmzdv1ljfy8sLs2bNwtChQ4VtJa1YVB4kEgmWLVuGESNGCDMSHj58GOfPn0dgYCDc3NyQkJCAc+fOIT4+Xmgnl8vx5Zdf6j2o0hD379/HN998g1WrVqF27drw9vaGi4sLbGxskJeXh5SUFERGRiIsLKxY4l2HDh1KTAb7+eefReW0tDTRyjX6OnPmjMFtqqNZs2bh6dOnwmDMzMxMfP3111i3bh38/PxQu3Zt2NjYIDs7G8nJyYiMjERkZCRyc3N17tfCwgIjRozAypUrARQGlb766ivs2rULAQEBcHR0RGpqKkJDQxEWFia0mzZtGpYtW2a6B1zJBQQE4OLFi6Jtcrlc5w0LbQmQ+gxuBwo/CwYOHCis/pObm4sVK1Zg69ataN++PVxcXJCWloZr164hPDxc1LZVq1YYN26cXscxtb59+8La2hqLFi1Cfn4+MjIyMHXqVHz55Zcan6PIyEisXLkSq1atgpeXF5o0aQJXV1fY2toiNzcXT58+xZUrV4oFxKdNmyYMolc1btw4zJo1Syhv2bIFBw4cQPv27eHq6oqMjAyEh4fj2rVrwrXv/fffx4EDB/Sehbpfv37CeyozMxPz588HAFhaWor6NHv2bK4GDqCgoAAff/wx/v33X2Gbl5cXtmzZAhcXF6McQyKRYPr06Rg/frxwzIkTJ2L16tXo2FE8YCcsLAwTJkwQ/e30wQcfiGaNJSIiIiIyFfX4Yf369eHm4Qora0vY2tkiJTkFdyIicTv8jih+2OHFdvBr06rY/pRKJU6fPIvTJ8/CwsIC9RrURb0GdWFvbw8LSwtkZGTi4f2HuBESKlop2NXNFQPe6VceD7nMxk4ahejH0bgRUrgSUE5ODg7+fQAH/z6gsb6buzuGjx2HT2ZOF7ZVlvjhnDnLMH36SCQnF8YPT548gsuXz6N9+05wcXFDUlICLl06h8TEZ/FDKys5Jk+eKwwoNSbGD6uWRYsW4cmTJzh79iwAxg8rgkwmw9KlSzFx4kTcuXMHAJCYmIhFixZh1apV8Pf3R82aNSGXy5GZmYmkpCTcvn0bUVFRlXL1odJo3rw5nJ2dcezYMaxfvx6///47OnbsKMTdbty4ITpPitqU9N6fO3cu7ty5g8ePHwMAbt++jf79+6NVq1Zo2rQp5HI5YmJicO7cuWKrQk2ZMqXEFdSLBAQEaFwxSlcMt23btpBKpcIKRPq0UVV0H2jChAnCBJ8PHz7EzJkz4erqCn9/f7i6usLKygoZGRmIj49HREQEHj58KPwtYGtrq9exiIiIiIiI6PnBXFXDacpV3bJlC7Zs2aKxPnNV9cdYc9XCXFUqq40bN+LSpUtC+Y033kCvXr201h81ahRCQkKENvv370fr1q3x2muvmbyvFY2D24mIiIiIqEKkpqbi0qVLoi9vmgQGBmLJkiUl7k+hUCAsLKxYUpC62rVrY+XKlVUm0UUul+Obb77BihUr8M8//+is27p1a3z66adITU0VbbexsTFlF/Xm4eGBlStXYs6cOXjy5AmAwvNA2+NydHTE4sWL9U66Ki2lUon79+/j/v37JdaVyWQYOHAgxo8fb3DCbEFBQbVJ0KsI5ubmWLlyJdasWYOdO3cKNxUyMjL0CqpKJBKYmWkOg7zzzjsIDw8XnYsPHjzAgwcPNO5n/Pjx6NOnz3MdMNSUmOjn56f1OQaARo0awcnJSZRcqb4KfEmmT58OuVyOrVu3CudATEwM9u7dq7VNYGAgli5dqrNv5e2VV16BlZUV5s2bJ8xsPHPmTCxduhSdO3fW2KagoACPHj3Co0ePdO7b3NwcH330kdZZnzt37oyRI0di06ZNwjZdz+GAAQMwduxYHDigeVCEJm+//TbCwsJw6NAh0Xb12Ws1rVz1PIqOjsa+ffuKbevevbtB+/Hy8sKRI0e0/r5r164YM2YMNmzYAKDwM3j48OFo3bo1fH19IZVKER4ejrNnz4pu3Pbp0weDBg0yqC9ERERERMaQmpqKkJAQIER3vXYdAzBz3owS95eTk4OIW7cRceu2znqetTyxePl82NhWjphaSazkVli0bD7Wrv4Rxw6d0Fm3WfMWmDhtBtLT0kTbra0rx2N1c/PAokXfYPnyuYiJKYwfpqen4dgxzfFDe3tHfPTRYtSuXQ+A6eJujB9WDRYWFtiwYQOWLl2KHTt2MH5YQezt7bFhwwYsX74chw8fFrYnJyfjxAnd1yig8D2kacLGqmTu3LlISEhAcHAwEhISdK5g5ePjg1WrVsHc3FznPh0cHLB+/XpMnz5dmNizoKAAwcHBCA4O1tjGzMwMs2fPFq00VZKAgABIJBJRbKhevXpwdXXV2sbe3h5NmjQptpK8rtXe1Xl6emLLli1YsGCBkDQMAHFxcaLzSJuSnj8iIiIiIiJ6vjFXVT/MVWWuKhViriqVxaVLl0QL2DVs2BAzZui+jymVSrF48WIMHToUiYmJAIAVK1bAx8dH42rv1UnlyeolIiIiogqVn69EfFx8yRWNJCkxEZmZ+cjJlUIlP6JCJCcloiAnE2YFOShQllxffeUB0k/fvn1ha2uLM2fOIDQ0FFlZWVrrSiQStGjRAoMGDdI6sMvHxwcLFizAmTNncOXKlWIrUairVasW+vbti4EDB5pkZkVTksvlWLBgAQYMGIB//vlHWKG3oKAALi4u8Pb2Ru/evdGxY0dIpdJiQY7KFBxt2rQpfvnlF/z44484dOhQseAmAFhZWaFbt26YNGkSatSoYZJ+jBgxArVr10ZQUBAiIyNLDOQ5Ojri5ZdfxoABA9CgQQOT9Km0EhIShJ8lEgmaNGlSgb0xLTMzM0ydOhV9+/bF1q1bcerUKWRkZGitL5PJ0KRJEwQGBqJnz57w9PTUWnfBggXw8fHB5s2bRc9pEalUCn9/f4wcORJt2rQxyuOpypo0aQIHBwekpKQI20paiUcikSAgIECUjOjr62vwatATJkxAly5dsH79egQFBWl9/zZu3BjDhw9Ht27dDNp/eenUqRO+/vprzJo1C1lZWcjJycGcOXOwcOFC9OjRA0DhimP//vsvLl68iHv37omSStVZW1ujS5cuGDlyJGrXrq3z2GPHjkWDBg2wbt06rYPlfXx88N5775Xq+ZPJZFi9ejVOnjyJPXv2IDw8HDExMcjKyuKNEw00va6lucmkT/3p06cjOzsbv/zyi7DtypUruHLlisb6vXv3xtKlSw3qBxEREVVP5R07NCUJJMLES2mpaSiA8YOT+flKoGqPy6sQhsYPmzRrjH5v9UHgSy9qrNO4iTemfTwFQeeCcONaKJKTUjTWK1LTqyZefe0V9BnwuklWATclK7kVps2egt59emH/X/8g9PotJCclQwLA2cUFtWrXQeBLXeHr3xpSqRRPoh+L2leWwe0A0KhRU6xevRW//roeJ04cRHp6WrE6lpZWePHFrhgxYhKcnGogPj7W6P1g/LBqKoof9unTh/HDCiSXy7FkyRIMHDgQv/zyC86fP19s0kNV5ubmaNGiBTp16oRXX3210iRBl5aNjQ3WrFmDzZs3448//tB4/8rBwQGDBw/Ge++9p/eknDVq1MDGjRuxb98+bN++XWPCKwBYWlqic+fOGDduHGrVqmVQ3x0cHODt7Y2IiAhhmz4rsLdr1040uN3Ly0vn+0kTJycnfPfddzh37hy2bduG4OBgnZNjWllZwc/PDy+99BJefvllg45FREREREQVpzrFmssDY82lw1zV0lPPVb18+bKQq+rq6spc1VKoTrFm1ZXun5dYM3NVyRAJCQlYuHChMNZELpfjs88+0ytHtkaNGli8eDGmTJkCpVKJ7OxszJs3D5s2bTI4x7YqkRToyoqlKqekP5KqMolEAkdHRwCFMzrz1CV98Lyh0uB5Q6VRlc+b2NhYZOdmIU+ZW67HTUhIRFZGHnLyZHByMk1AQF9JSQlQKjJgXpADJ0cnvdqkpaTCVm6OOrXd4OLiUqrjSiSAvb0DACA1NaXCB/mXRWxcPPJklpBZ2cHNza3E+nl5ebh37x4ePnyIuLg4ZGVlQSKRwMbGBp6enmjSpInBgaLHjx/j/v37ePLkCTIyMpCfnw9ra2u4urqiUaNGqFOnTmkfXqVT0jVn586dWLlypVD++++/S32emlJOTg6Cg4Px9OlTJCUlwd7eHu7u7vDz84O1tXW59SM7Oxt3797F48ePkZiYiMzMTMhkMtja2sLR0RGNGzc2OAGsvOTm5uKVV15BdnY2gMLVoD/99FONdavyZ5U2+fn5uHXrFh48eICUlBRkZmZCLpfDwcEBtWvXRoMGDQxOhMzLy8ONGzdw584dpKenw9bWFi4uLmjevLnO1Wmqq8p+3qSlpSE4OBhxcXFITU2FtbU1nJ2d0bJlS7i7u1d094wqLS0NkZGRiI6ORlJSEhQKBSwtLeHg4IB69erB29vb4BtiSqUS4eHhCA8PR3JyMuRyOVxdXct83avs540uTk76/S1oTI8ePTJ4lXZNvLy8cPz4cb3qnjx5Ej/88IPWlb0aN26M0aNHo2/fvmXuF1C9Y5ZUvVXl6xmRoXi+kzYVFTs0JQkksLe3B1C4SocpBrcDgJnUHFbmcr1iZVRcUfwwNDQU0TGPkZGVDhtbG9jYWMPdwx0NvRvAydmwv9+fRj/FwwePEBcTh4yMTCiVSljJrVDDpQbqN6wHr1qGDcKrrBLi45GRkY+cXBnq1S1czSE1LQ1QOdcP7d+HbZs3CeWtW/fB2bnyxQ9zc3MQGhqM2NinSE5Ogp2dPVxc3NGihR/k8mfxw/j4WFhY5MPW1swk77nnJX5YlWn7W4bxw8ohJycHoaGhePz4MVJSUpCTkwNra2s4OjqiTp06qF+/fpVOzpswYQKuXr0KAPD398fatWuF3+Xl5SE4OFiI6dnZ2aF27drw9/fXe1C7uqLz/e7duwgKCkJiYiIUCgUcHBxQs2ZNtGrVqko/n0WysrJw/fp1xMTEICUlBXl5eZDL5ahRowbq1q2LevXqPRcrtldEvPJ5YGi8kt+ZSR88T0gfPE9KLzY2FvnZaTDLV8DNtfJ9fzUmY+aThd2KQG5eLizNzdG0SWMj9bD6MzQPrrxV1WtJdYw1l5fSxJqr6nliCsxV1c4Y5wlzVQ1TFWPNRedJTk4OAgICqn2sWRvGmnXj587zw9jxSq7cTkRERPSck0qlsDKXA5CX63GzLXKA3DyYSWSwsbAr12OrU5groFQCZkpz2FjoN2tgjlkOJBJ+8SotMzMzeHt7w9vb22j79PLygpeXl9H2V5X9+++/ws+urq6VMlgIABYWFmjXrl1FdwNWVlbw8fGBj49PRXfFYNeuXROChTKZDGPHjq3gHpUvmUyG5s2bo3nz5kbbp5mZGfz8/ODn52e0fZLp2NnZoVOnThXdjXJhZ2dn9HNTKpWiWbNmaNasmdH2SYarVasWwsPDy/WYXbp0QZcuXXD//n2EhoYWJgTl58Pd3R3e3t7VemZlIiIiMkxFxQ5NSSKRwE5emCCszIFJkyukUi6pU1pF8UMHBwekK1KRo8yGSxmT1z08PeDh6WGkHlZtly6cF352cqpRKQe2A4C5uQX8/Bg/LAvGDxk/rAwsLCzg7+8Pf3//iu5KuTMzM0Pbtm1Nsu8GDRrA2dm52iaKyuXySnEPiYiIiIiIjKM6xprLE2PNpcdcVdNirqphqnKs+cqVK4w1M9ZMZHQc3E5ERET0nKvIQIKVVR5ycmRwcan4GU6VCkuYKxVwqaHf8yGVAObm+SbuFZHhzp8/L6wQAgCBgYEV2BsytYsXLwo/9+nTB7Vr167A3hARUVVTt25d1K1bt6K7QURERJVYZU1CKgvVlQMsLS2r7YAwIm2uBV9FeFiYUG7VyjSDLqlyYPyQiIiIiIiIiCqD6hhrJnreMVf1+XL27FnhZ8aaichYOH0PERERERFRJXf8+HEolcoS64WEhGDhwoWibQMGDDBVt6gSCAoKAlA4o+eoUaMquDdERERERERERFQRTp88q1f8MOLWTaz7dqVoW7duvUzVLaoEGD8kIiIiIiIiIiIifTFXlbQpGtzOWDMRGRNXbiciIiIiIqrk5s6dC09PT7z88sto27YtGjVqBFtbWwBAQkICbt68iSNHjuDIkSPIz88X2vXr1w/e3t4V1W0ysbS0NISHhwMABg4cyBmOiYiIiIiIiIieU58v/hLuNd3R6aVANGhYF04uHrCwdEB+fj7SUlNwLSQE58/8hwtnTovihy926oo6depXYM/JlBg/JCIiIiIiIiIiIkOo56o2bNgQDg4OAICUlBTcunWLuarPodTUVISFhQFgrJmIjIuD24mIiIiIiKqA6OhobN26FVu3btWrvp+fH6ZOnWraTlGFsrOzw5kzZyq6G0REREREREREVAnEPInB7u2/612/QSNvvDXwPRP2iCoa44dERERERERERERkKOaqkjp7e3uEhYUhOTkZBQUFFd0dIqpGOLidiIiIiIiokrO0tIRCodCrroWFBQYMGIBJkybB3NzcxD0jIiIiIiIiIiKiimZpaQGFIkevuubm5ujWoyde7t0bFuaWJu4ZEREREREREREREVUVzFUlIqLyxMHtREREREREldzBgwdx7tw5XL16FREREXjy5AnS0tKgUCggl8vh4OCA+vXro3Xr1ujRowdcXV0rustERERERERERERUTrb9sRWXg67gRkgowm9GIDYmHpkZGcjLy4OVlRw2trbwql0bTX2ao2OnznBydkZCQnxFd5uIiIiIiIiIiIiIKhFNuaqpqanIyclhrioRERkdB7cTERERERFVcnK5HN26dUO3bt0AABKJBI6OjgCA5ORkFBQUVGDviIiIiIiIiIiIqCJZya3wYucX8GLnF5AQH4+MjHzk5MpQr259AEBqWhoAxhCJiExh7dq1Fd0FIiIiIiIiIiKjUM9VJSIiMiVpRXeAiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIqj8ObiciIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiKT4+B2IiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiMjkObiciIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiKT4+B2IiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiMjkObiciIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiKT4+B2IiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiMjkObiciIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIvo/9u47vqnq/QP4J0lHOuhuKS2bljLLLEOWTFkq4B6oyFBwoSIIiAwRtyKKqAwBBYEfioMle+/RMkopLVAodO+mbfbvj357yW2TNGmTLj5vX7zMuTn33JPkJmme+5xzyO44uJ2IiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIjsjoPbiYiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIyO44uJ2IiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIjsjoPbiYiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIyO44uJ2IiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIjsjoPbiYiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIyO44uJ2IiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIjsjoPbiYiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIyO44uJ2IiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIjsjoPbiYiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIyO44uJ2IiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIjszqG6O0BERERERLXfzAWf4dKVqwCATp06YdmyZdXco4pbvnw5Vq5cKZRPnDhRjb2p21QqFaKiopCcnIysrCx4eHigfv366NixI1xcXKq7e0REVunRo4dwe/z48Zg4cWI19oaIiIiIiKhmmTx5Ms6fPw+g9scP163+Hb+v3SiUt+77q/o6U8ep1SpcvhyF1NRk5ORkoV49T/j7B6Bt246Qyxk/JCIiIiIiIiIiut/UpVgzc1WrDnNViWqXrVu3YuHChUL5zz//RFBQUDX2iOyFg9uJiIiI7nPp6enQ6XTVclyFQgO1Wlblxy4tMzMdOmU+HHQqi/fJysqEk5Mebm5+duxZ+e4mp2D082UHz3Xp2B4/fPmx1e3l5OZhxFMvQq3WiLaHtmiG3376tsL9JDKkUCjw008/YefOncjNzS1zv4uLC/r374/XXnsNvr6+1dDDe65cuYIJEyZAq9WKtlsbSFapVIiNjUV0dLTw7/bt29Dr9RVus6osWLAA27dvL7N92bJl6NSpk9XtLVmyBOvXry+z/bPPPkO/fv0q1EciIiIiIiKyj+qKHdqTRCKBUqkEAOTk5Ih+m9uaVCqFn181xw/v3sWYMWPKbO/SpQuWLl1qdXs5OTkYOXIk1Gq1aHtoaCh+/fXXCveTyFBBgQK//voz9u/fgfz8vDL3y+Uu6NWrP156aQq8vRk/rG6MHxIRERERERFReepirLkqMdZMVDHMVWWsmbFmopqNg9uJiIiI7nM6nQ7qQjWgrtrAoSZfBW2BBhqVDGpHZZUe21hf9Co1JDo11E6WDXDXqjTQO0rs3LOKOxd1CckpaQis72/Vfrv3Hy4zsJ3IlmJiYjBz5kwkJSWZrFNYWIjt27fj+PHjmD9/Prp161aFPbxHo9Fg0aJFZYKF1ti5cyc2bNiAuLg4aDR16721fft2qwOGWq0Wu3btslOPiKgmuHv3LrZv3w65XA4AGDhwIBo0aFDNvSIiIiKiiqqu2KFdSSRQohAAoMpVAvYa3O4ohaOLo33atoFz584hOTkZgYGBVu23e/fuMsmGRLYUF3cVn3wyEykppuOHRUWF2Lt3O86cOY733puHhg2bVl0HDTB+aB7jh0RERERERERUok7GmqsKY81EFcJc1bqDsWaiuouD24mIiIgIUOugK1BDKq26VdQlSj0kSkCm1kOqqt6ApUylh04FSHV6SFXlJ7NqtVpArQdQcwe36/V67NizH+Oee9Kq/bbv3menHhEBycnJeOedd5CZmSls8/DwQO/evREQEICMjAwcO3YMGRkZAICsrCzMmDEDP//8M0JDQ6u8v+vWrcO1a9cq1caVK1cQExNjox7VLPv27cO7774rDGC1xMmTJ5Genm7HXhFRdUtKSsKKFSuEcps2bTi4nYiIiKi2q4bYoT1JJBLAqTgeKSnS2WXldp1OC6mrI+Bi86ZtRq/XY8eOHRg3bpxV+xlbMYPIVlJTkzFv3jvIzr4XP3R3r4du3XrD378+MjPTcebMcWRlFccPc3KysHDh+5g16xOEhDSu8v4yfmge44dEREREREREJFLHYs1VgbFmoophrmrdwlgzUd3Fwe1EREREBACQSmUI8LNule9KHU8igcJZC7VaCh8fvyo7rtG+QAKdUg5HnRI+3j7l1k//X+JcTSSXO6OoSAkAVg9uv3krEZdjYoWys7MTlErLVrL/5MMZ0MicIZPXQ0BAgHWdrmEmTpyIiRMnVnc36hy9Xo9Zs2aJgoVDhgzB+++/D1dXV2GbSqXCDz/8gA0bNgAonhlz+vTp2LBhA5ydnausv7du3cKqVasAAHK5HDKZDAqFwiZtOzs7IyQkBHfv3kVWVpZN2qxKcrkcRUVFUCgUOHToEIYMGWLxvoYXJUraISIiIiIiopqvqmOH9iSRSODh6QEAcHGS22Vwe2p6ms3btBXD3+M7d+60KuHw5s2biI6OFsrOzs5QKpUW7bts2TLrOlqDPffSM3jupWequxt1jl6vxyefzBINbO/XbzBef/19uLjcix+q1SqsXr0Mf/9dHD8sKirEkiWL8OWXS1CVKTCMH5rG+CERERERERERmVKXYs1VgbHmsupSrJm5qvbBXNV7GGsWt0NENY+0ujtARERERES207tHN8ikxX/mJ9y+g0tXrlq877Zde4Xb4W1bw8fLy9bdo/vYvn37RAHpiIgIzJ8/XxQsBAAnJydMnToVI0eOFLYlJSVhy5YtVdZXAPj000+FgPn48eNRr169CrXj4OCA0NBQPPLII3j//fexZs0a7N27FytXrkTTpk1t2OOq07dvX+G2NTPo5ufn4/Dhw0K5X79+Nu0XEREREREREZWvd+/ekMmKV0ZKSEjApUuXLN7XMA4QHh4Ob29vm/eP7l9Hj+7DtWtXhHLHjhGYNm2+aGA7ADg6OmHixLcwaNAIYVt6eir27v2vyvoKMH5oDuOHRERERERERER1H2PNVFMxV5WxZsaaiWoPDm4nIiIiIqpDfH280K1rJ6G8ffd+i/bT6XT4b+9BoTxiyACb943ub7/88otwWyqVYvr06ZBIJCbrv/nmm3BzcxPKa9euhUajsWsfS/z99984d+4cAKBFixZ45pmKr8T1xhtv4Ndff8WsWbMwatQohIWFwcGh6laQsocRI+4lDp8+fRrp6ekW7bdnzx4hCBsQEICuXbvapX9EREREREREZJqvry+6desmlHfs2GHRfjqdDv/9d2/w8PDhw23eN7q/bdiwWrgtlUoxZcp7ZuOHEya8CVfXe/HDf/7ZAq1Wa88uChg/NI/xQyIiIiIiIiKiuo+xZqqpmKvKWDNjzUS1Bwe3ExERERHVMcMH9xdu795/GGq1utx9zpy/gJS04h/9zk5OGNSvt936R/efW7duIS4uTih3794djRo1MruPh4cHhgwZIpQzMzMRGRlpry4KMjIy8P333wMAJBIJZsyYUesDfLbWpk0bNGnSBACg1WpFFxvMMZw5c+jQoWYDxkRERERERERkP4bJgrt377YsfnjmDFJSUgAAzs7OGDRokN36R/efO3du4+bNe/HDTp26IyjIfPzQ3d0DffsOFso5OdlWrQ5VUYwflo/xQyIiIiIiIiKi+wNjzVTTMFe1bmGsmaju46ceEREREVEd069XD7i7uSFfoUBuXh6OnDiN/n0eMLvPtt37hNt9HugOd3c3M7VtJzk5GVevXkVKSgoKCgoglUohl8vh7++Phg0bonnz5pDJZBa3l5ubi5iYGNy+fRsKhQJarRZyuRw+Pj4IDg5GSEgI5HK5HR/RPVqtFlFRUbhz5w4yMzPh5uaGoKAgdO7cuVJ9yMjIwPnz56FQKKDT6eDu7o6QkBA0a9bMhr23rcOHD4vKAwYMsGi/AQMGYMuWLUL50KFDdp9B8auvvkJeXh4AYNSoUQgPD7fr8Wqr4cOHY9myZQCKA4HPPfec2fqJiYm4cOGCUB42bBguX75c6X4oFApERUUhNTUVOTk5wvu9bdu2CAoKqnC7+fn5iIuLw+3bt5Gbmwu1Wg13d3f4+PigXbt2CAgIqHTfDd26dQtXr15FamoqgOKZjTt27IjAwECbHqcuys/PR2RkJNLS0pCbmwtXV1f4+Pigffv2Nn2dlEolIiMjkZqaiszMTDg7O+OBBx5A48aNbXYMS2g0GsTFxeH69evIzs5GUVERnJyc4O7ujgYNGqBZs2ZWP+7CwkLEx8fj1q1byM7OhlKphJubG7y9vdG6dWs0bNjQTo+GiIiIiIiqS9++feHu7o78/Hzk5ubiyJEj6N+/v9l9DBOB+vTpA3d3d3t3EwCQlpaGSzEXkZqWAplMColECrncGb5+vmgQ3ACNmzayKn6Yn5ePuNh43E28C4WiADqdDs7OzvDy8URgg0A0bd4UcrmzHR/RPVqtFtGXriDpbjKys7Lh6uqKwAb10a5Du0r1ISc7B5HnriAzIxdeXt7w9fODX/1ABNfg33cnTx4SlXv1Mn8+lujdewB27vxLKJ86dQqDBw82vYMNMH5oGcYPGT80lJWVhYsXLyI9PR25ublwc3ODr68vOnToAF9fX5sd59q1a4iPj0daWhqkUikaN26Mrl27wsXFxeQ+Go0GUVFRuH79OhQKBerVq4cWLVogPDwcUmnl14wpaf/u3bvIysqCh4cHGjZsiI4dO1Y6WfnmzZs4efIksrKyoFQq4enpicDAQHTo0KHKroXZU2pqKi5duoTMzEzk5+ejXr168Pf3R8eOHeHh4WGz41y7dg03b95Eeno61Go1mjVrhj59+tisfSIiIiIiorqsNsWamatqvYyMDJw7dw7p6enQ6XQICAhgrqoNMdZsGcaaGWuujNKfj3K5HGFhYeXGf/Pz83Hu3DkkJiZCrVbD29sb7du3r9Gff7UVB7cTEREREdUxzk5OGNi3F/7esQsAsH33frOD2wsKC3HgyHGhbLjyu6VmLvgMl65cBQB06tRJCCSYsmfPHvz222+IiYkxW08ul6Nz58545plnEBERYbJeTEwMli9fjhMnTkCr1ZqsJ5PJEBYWhpEjR2LMmDFG6yxfvhwrV64UyidOnDDZ3qhRo5CcnAygOIDy4YcfQqfTYd26ddi0aRPS0tLK7OPs7IzHH38cEyZMMJtQVVpCQgIWL16MkydPQqfTlbm/TZs2ePXVV9GtWzfcvXtX9Pg++OADjBw50uJj2VrpWSzbt29v0X5t27aFTCYTXlN7z4Z56NAh7NtXPNGDj48PpkyZYtfj1WZDhw7FTz/9BJ1Oh/j4eMTGxqJly5Ym6xtelGjTpg2aNWtWqYBhZGQkVqxYgfPnz5t8zzdv3hzjxo3DoEGDLJp588aNG9izZw+OHj2K2NhYo++zEi1atMCzzz6LYcOGWZTgaOpzJSoqCkuXLhUFUw116dIFU6dORWhoaLnHsKezZ8/i2WefFcpLly5Fly5dTNY/duwY3nnnHdG2f//9F/7+/ib3WbduHb777jsAxZ/Vu3btgpub6YlWrly5gp9++gmnT582eQ60bNkSL7/8Mh588EGT7Rjq0aOHcHv8+PGYOHEicnNzsWzZMuzatQsKhaLMPpUZ3K7RaLBo0SLR+6NTp0747LPPyiRnKhQK/PLLL9i2bRuysrLMthsQEIA+ffpgwoQJ8Pb2NlonKSkJe/bsweHDhxEdHQ2NRmOyvQYNGuDpp5/G6NGj4eTkZLKe4XeiIXOfpdX9/UREREREdL9ydnbGgAED8M8//wAAduzYYTbhsKCgAAcOHBDKhqvxWGry5Mk4f/48ANvGD53lzmjfoR1GPfEIOnbuYLJeXGw81q3+HedOm44lAIBUKkVIyxYYNHQghj8y1Giddat/x+9rNwrlrfv+Mtney89MRGpKcYxw4EP98faMt6DT6fDnpr/wzx9bkZmRWWYfJycnjBw9HM++8DTkLpYnHibeuoPlP6zEudPnodfry9zfPCQEjz/7PNqFd0BaairenfKKcN/UqR9g0KARFh/L1i5fjhKVW7e2LH4YFtYWUqkMOl3xa2rvldsZP7Qc44f3V/zQlEOHDmHNmjWIjo42+rkEAO3atcPEiRPRvXv3ctsz9Tzt3r0ba9asEa3KVcLV1RUvvfQSxo4dK3qdNRoNfv/9d6xbtw7Z2dll9gsMDMQ777yDvn37ltsvY99xWq0Wa9aswebNm5GZWfaz3tPTE88++yyee+45qwa5a7Va/PPPP/j9999x69Yto3WcnZ3Rr18/vPLKKwgODjbZVmpqKh555BGhXF6s7saNG3jmmWdE25YvX272ms++ffswa9Ysofz777+bTQDV6XTYsWMH1q9fj/j4eKN1ZDIZunbtikmTJqFt27Ym2yqxYMEC4TMmMDAQf/31FwDgn3/+wbp165CQkCCqHxoaysHtREREREREFqpLsWbmqt7DXFXmqtYkjDUz1lweY98LarUav/76K/7880+kp6eX2adBgwZ499130bt3b9H2nJwc/PDDD9ixYwdUKlWZ/cLDw/H++++jefPmJvtz+PBhTJ8+XYiJt2nTBj/99BMcHR3LfSwffPAB9uzZI5SnTJmCF154odz9ajMObiciIiIiqoOGDekvDG4/duoscnJy4elpfBWDvQePoqhICQDw8fZCj66d7NYvjUaDhQsXYufOnRbVLyoqwrFjx1C/fn2TAcPNmzfj66+/NvvjvoRWq0V0dDQUCoXJgGFl5OXlYcaMGTh37pzJOkqlEuvWrUNUVBS+/fZbs4M3Sxw8eBBz5swx+kO5RHR0NKZOnYopU6ZYPNtkCcPEHsD2AcabN28Kt52dndGkSROL9nN1dUXDhg2FxKKEhATo9XqLgj/WUigU+OKLL4TyW2+9hXr16tn8OHVF/fr10blzZ5w5cwZAcUDQVMBQr9djx44dQnnYsGEVPq5KpcInn3wias+U69evY86cOdi9ezcWLFhQ7iy0EydORH5+vkX9iI+Px0cffYR9+/ZhwYIFFr2PS1u3bh1++OEHsxc5zp49i0mTJuGLL76waCbY0oOL//zzz0rNClqiQ4cOcHNzEwZ3nzp1yuzg9lOnTpXZdvr0abMXpE6fPi3cbtOmjdnn9Mcff8SaNWtMJsSWiI2Nxfvvv48+ffrgo48+snom4tjYWLz33ntISUmxaj9L5Ofn4/333xfeQwDw0EMP4YMPPigTxLx16xbefPNNowPHjUlNTcUff/yBYcOGmRzcPn36dFy7ds2i9pKSkvDNN99g165d+PTTT81OUkBEREREZCuZWZkWxXoqQiKRCDGW3Lzccn9bVERmVib0zhI4qExPEFVRUqkUfn5+lW5n+PDhQsLhsWPHkJOTA09PT6N19+3bh6KiIgDFSVaWDECsKGvjh8oiJc6cPAu/AL8yg9szMzOh1+mw97/9+HXVeotea51Oh9iYa8jLzUP3B4z/Fi8sKBCVM4wkxRi2Z9jXWwm3sOTLpYi5fNXkPiqVCn9u/AtR5y7gvdlvw8W1/KTDs6fOY9m3P0GtNj152fW4OHyxcAGefO55dOvZq9w2DX3zzUfYu/de/NDWg+Fv374p3HZ2dkbDhpbFD11cXBEUFIzExOIBnnfu3GH8sIaozvjhvHnzGD80wV7xw9Ly8vLwwQcf4OTJk+XWvXTpEt566y2MHj0a7777rtWrmX/11Vf4v//7P5P3FxQU4IcffkBCQgLmzJkDoPj9PG3aNCHh0Zjk5GTMmDEDM2fOFA0At4Ql7efk5GDZsmU4dOgQvv32W4tWqcvIyMC7775bbjK+UqnErl27sH//fsyYMcPk9Z6AgAA0adJEuAZz6tQps9eGjMV9T506ZTZJ3DDu6+/vb3Zge2pqKt577z1cvWr6OxIovtZ38uRJnDp1CpMmTcK4cePM1i9NrVZjzpw5osEUREREREREVHF1JdbMXNVizFVlrmpNw1zV2hFr3rJlC7y8vKzumz0oFAq8/fbbJgfyA8U5ke+99x5mz54tfAbduHEDb731lrCqvTEXLlzAK6+8gu+++w6tWrUyWqdPnz549tlnsW7dOgDFn5nff/893n77bbP9/uOPP0QD2x944AGMHTvW7D51AQe3ExERERHVQZ3at0Vwg0DcSUqGRqPBrv2H8MQo4wGg7bv3C7eHDuwHmUxmt3798ssvZYKFrVq1QlhYGLy9vSGTyaBQKJCUlITY2FgkJSWZbe/s2bP48ssvRduCgoIQHh6OgIAAODk5obCwEOnp6YiPj8f169ftlhit1Woxe/ZsIVjYsGFDdO7cGb6+vlAqlbh8+TKiou6tQHTp0iUsXrwYs2fPNtvu6dOnMXv2bNGquq6urujTpw+aNGmCgoIC3Lx5E6dPn4ZSqcT3338PZ2dnuzzGitBoNLh7965Qrl+/vlUBv/r16wsBQ6VSiaSkJLsk2y1dulSYvTQiIgIPPfSQzY9R1wwfPlwIGO7atQtvvPGG0c+P8+fPC+9lBwcHDBkypELHUyqVeOutt0SzokqlUrRt2xYtW7aEp6cnlEolbt68iTNnzkCpLJ6049ChQ3j33XexZMkSiz/fGjdujGbNmqFBgwZwdXWFXq9HdnY2YmNjRasMHT16FPPnz8fnn39u1WPZtm2bsEq5m5sbunbtioYNG8LR0RGJiYk4duwYCv6XKF9YWIg5c+Zgw4YNJi/82JuDgwO6deuG/fuLvy9Onz6NyZMnm6xvmLBouM3U4Ha1Wi36fDQ3+/HXX3+NTZs2ibYFBASge/fu8PPzQ15eHi5cuIDY2Fjh/sOHD+Ott97C0qVLLU6OzcnJwfTp04WB7S1atECHDh3g5eWFnJwcXLlypcIXL5KSkvDuu+/i+vXrwrYXX3wRr776apk2VSoVpk2bJgoEu7q6omPHjmjcuDHc3Nyg0WiQm5uLmzdvIjY21ugK8+YEBgaiRYsWCAoKgpubG6RSKXJzcxEfH48LFy4IQe3Lly9j+vTp+Pnnn43OIurg4ACZTAa9Xi/6rpVKpSafK0tmkyUiIiKi+5NOp4NWpQT0apu3LQGgcSj+G1VblAfbD20HdCoFdAAkjk7QFtkwTiN1BJysm7jLlI4dOyI4OBh37twpjh/u2oUnnnjCaF3DRLOHHnqoyuOHzZo3Q+NmjRAYWB9SmRQFBYVISUrBjfgbSEk2nWCi1+kQdT4aa1euE2339fdDi5AW8PL2hqOjA5RKJXKyc3D3zl3cTbzzv981eigUxpN8VGrxWWOqHgAYhiKVSg2WfLlMGNjuHxCAlq1awsPTAyqVGjev30D8tXurDsdfu461Kzfg+ZfNr8gQE30FS7/5UZSU5OTkhJCwMLRu0w5anRYJN27g0oUoqFUqbPx1LZycalb8MCXlXvzQz8+6+KG/f6AwuF2lUjF+WINUR/zw5ZdfFk0myPhh1cvKysLkyZNFicSOjo4IDw9HixYtUK9ePRQUFODatWui1Y62bNkCpVKJDz/80OJjrV27VhjY7u3tjR49eqB+/fpQq9W4ePGiKHlx27Zt6NSpE4YPH45Zs2YJA8+bNGmCzp07w9vbG7m5uTh58iRu374NoDgZ9ssvv0SHDh0sToQGgEWLFgnt+/j4CP3Kz8/HxYsXRYPTL1++jLfeegs//vij2ZV7cnJyMGnSJNy5c0fYJpFI0L59e7Ru3RouLi5ISUnB8ePHhZXo1Wo1Fi5cCKVSiccee8xouxEREcI1mNOnT5tN2jYV9x0/frzJfhvuYy4p9tatW3jttddEq8y5uLigQ4cOaNq0Kdzc3JCfn4/o6GhcunQJer0eer0eP/30EzQaDSZOnGiy7dK++eYbYWC7p6cnunXrhsDAQOh0OiQmJiIzM9PitoiIiIiIiKh2xZqZq1qxXNXu3bujUaNG0Gq1SEhIYK5qJTHWbD3mqt6fseaK+uCDD4TYcOn474kTJ5CYmAigOP772WefoX379nB3d8ebb76JtLQ04bUuWaQpJSUFR44cQU5ODoDiyUXmzp2LX3/9FU5Oxic6nzx5Mi5cuICLFy8CADZu3IiOHTuif//+RutfvXoV3377rVAOCAjA3Llz7TLBRk3Dwe1ERERERHXUsEEPYsWvGwAUD2A3Nrg9KSUV5y9curfPYOtmUbRGUVER1q9fL5QbNmyIRYsWmZxBDyhOZtm1a5fJ+1etWiXclsvlmDNnDgYOHGiyflZWFg4ePGg0Aaey9u3bB7VaDU9PT8ycORMPPvhgmTqnTp3CzJkzhYGHW7duxYsvvoiGDRsabVOhUODjjz8WBQsHDx6M9957T0ikys7Ohl6vR0ZGBhYtWoSjR48KgYiaICMjQ5RYGxAQYNX+peunpqbaPGAYFRWFLVu2ACierXP69Ok2bb+u6t+/P7744gsUFhYiMzMTJ0+exAMPPFCmnuFFiV69elU46PXVV1+JgoUDBgzA66+/bvR8yMzMxNdffy3MYnj27FmsXr3abJJdu3bt0L9/f/Tq1cvsCnh3797F119/jSNHjgAoDkju3r0bgwcPtvixfPrppwCAp556CpMmTSozm2ZWVpboAkRWVhY2btyISZMmWXwMW+vZs6cwuD0mJga5ubnw8PAoUy8zM1MYtC2TyYT3v2FScWkXL15EYWGhUDY1uP3QoUOige2Ojo5466238Nhjj5UJ4p08eRILFixARkYGgOL3+U8//YTXXnvNkoeLLVu2QKvVIjAwEHPmzDG6Ur1abf0gm5iYGLz77rtCv2QyGaZPn45HH33UaP09e/bg1q1bQvnhhx/G1KlTTc7AqtFoEBkZib/++svsQP5mzZphxIgR6Nu3r9nP1MzMTCxbtgz//vsvAODKlSv4/fff8cILZQdWbN68GUDx+83wef7+++/RuXNnk8cgIiIiIjJJr4ZEVQSZzLaTIkkkgExbnGTioFPBDgu3Q6ZVQaqTwEELOPzvWJWl1Wqhd3IFYJvB7QAwdOhQrFy5EgCwY8cOowmHSUlJopVnTU1cZgvG4ofTpk1DQLAfVLoi+PmX/b1+J/EuDu49ZLLNrVu2CbednJzw7Evj0NHM4Lr8vDxcjDyPq9HRUKmNn3tabamJyUzUAyCaPOHcmXPQajRwc3PHUy+MRXinsr+VrkZH45cff0RRUfHv5ONHjmHAQ8PhZyKmVlRUhF9XrhXF39qGh2Pow4/Aw9MLHTp0AgDk5uUhOysTK5ctRdS5s9iwdrXJPle1rCxx/NDPz7r4oa+vv6jM+GHNUdXxw48++kgUg2L8sOrp9XrMnz9fGNgukUgwevRoTJgwAT4+PmXq3717Fx9//DHOnj0LoPhc6Nq1q8XfNT///DMkEgkmTJiAsWPHlkkk3L9/Pz788EMhjrdixQpkZ2fj5MmTcHd3x6xZs8qsLqbVavHjjz/i119/BVA8acaqVaswf/58i/p0+fJlqFQqSCQSjB8/Hi+99FKZON3Zs2cxb948IYn58uXLWL16tdkB2osWLRINbA8JCcHnn3+O4OBgIcG1pL8rVqzA2rVrhW3ffvstwsPDERoaWqbdbt26CXG9rKwsxMXFGa2n0WhEfw9IpVLodDpcunQJhYWFcHFxKbNPcnKykCgKmI77KpVKzJo1S3g+HBwc8MILL+DZZ581uqL9tWvXsGDBAly7dg1A8WCFzp07G43hlpaWloY///zT7HlTkbgvERERERHR/a42xJqZq1qxXNVp06aVidcxV7XiGGuuGOaq3n+x5oq6ePEiNBoN3N3dMXv27DKDyUvHf9VqNVatWgWFQoG0tDS0aNECc+fOLfN9kZeXh1mzZgmf6QkJCdixY4fJvE8HBwd8/PHHGDt2rDAo/uOPP0bLli0RHBwsqqtQKDB79myoVCoAxTmlCxcurNUTDFiDyyMREREREdVRwwcPEAb7RV+9hhsJt8vU2b57n5D0EtqiGVq2aGa3/pQkuJT44IMPzAYLgeIZ6SZMmIAJEyaUua9kAF+JF154wWywECheuWPUqFH4+OOPreu8BdRqNVxdXbFs2TKjwUKgOElo2rRpQlmv12PHjh0m2/zjjz9Eq/UOGDAACxYsMPqD1dfXF5999hm6du0q/MCtCUpm9Cvh6upq1f6l6xueQ7agVqvxySefCO+DF198EY0aNbLpMeoqFxcXUeBn27ZtZeoUFRVh3759QrmiFyXOnj2Lf/75Ryg/88wzWLRokcngsY+PDxYuXCiaeXPdunXIy8szeYzFixfj0UcfNRssBIpn3P3888/Rq1cvYdvGjRstfSgAis+7iRMn4u233zY6SNnb2xuffvopvLy8hG2GgdfqYBgM1ul0Jgerl6zuAxQnK5Y8n2lpabhx44bJfUq4uLigffv2ZerodDosXrxYtG3evHl4/PHHjc5O2b17dyxZskT0GbJ+/XrR7LzmaLVaeHh4YNmyZSaTIs2tpGTMkSNHMHnyZGFgu6urK7766iuTAU5A/Nw0btwYM2fONDmwHSgOinbt2hULFy5Eq1atTNZbsGABnn766XIvwPj4+GD27NmilZ02b94suhBERERERGRPMpkUfr4+tv/n51v8zx5t+/rAx9sbPj7e8PP1QYC/n03+2WMFm+HDh9+LH0ZHG/3dtmPHjnvxw9BQowPebMVY/LB58+Zm9wluGIRnX3waz774dJn7NBoN4mKvCeWHxzyOAUOGwsfHz+S/xk2aYcSjY/DOzA9M1nFxEcerzLUnk95LydBqNJDL5Zi98GM8OHCI0fo9e/fFixPvJQzp9Xpcirpgsv2zJ08iy2CF2YgePfH4s8/CxUgMzsvbG29Nfx9t2ofXqIF7JQP5S5R+fsvj4iL+ncz4Yc1R1fHDkhW8AcYPq8u2bdtw4sQJofz2229j+vTpRge2A8XP1bfffotOnToJ21asWGFx7Emj0WDq1KkYP3680RVy+vfvj2effVYoJycn44cffoCDgwO+/fbbMgPbgeLEwddee00Uozxw4ACKioos6lPJ9ZnJkydjwoQJRieg7NKlS5nY5dq1a4W4YWlnz57FwYMHhXJQUBDWrl2Ltm3blqnr5OSEKVOmiAbKq1Qq0ao/pfti+DfGqVOnjNaLjo4WkuGbNm2K1q1bAyg76N1Q6bZMDW5fu3Yt4uLiABQPml+0aBEmTZpkdGA7UPz3yLJly4RJoHU6HZYvX260bmkl59Y777xj8ryxNu5LREREREREtSPWzFxV87mqmzdvZq4qc1VrLOaq3n+x5orSaDRC/NfYKunG4r+7d+/GkSNHEBQUhGXLlhn9vqhXrx4WLFggeg537txpti+lV1/Pz88XDWIv8fHHH4smCZ08eTLCw8Mte8B1AAe3ExERERHVUcFBgQhv21oob9+9r0yd7bv3C7eHDy77I86WMg2SLAEIiS8VlZ2dLUpwqmx7tjBx4sRyE26HDBkCX19foXzp0iWj9fR6Pf766y+h7OrqimnTphkdxFnCwcEBs2bNMrtab1UrHeAzlihkTun6tg4Yrl69WlhFpkmTJhg7dqxN26/rhg0bJtw+cuQI8vPzRffv379fCBp7enqKgmzWKJklEQBatGhh8erb77zzjrBiTEFBAf77778KHb80qVQqupBx6dIlYXZFS7Rs2RLjxo0zW8fDwwMjRowQysnJyUhPT7e+szYSGhoqCqaamlXYcHu3bt3Q1WA1PFOJkYb7dOzY0ehn2JEjR0QD0wcNGlTuRaIWLVqIkji1Wq2wCpElpkyZggYNGlhc35zNmzdjxowZwmeYv78/fvrpJ/To0cPsfobfnS1btoRUWj2hvJdfflk4dmpqqrAqEhERERER1W7BwcGi5AhjiW2GCSyGcQB7sHX8MD8vHzqdTig3a9GiUu3ZwpinnkHDRo3N1unZuw88vbyFclzsVaP19Ho9DuzeLZTlLi54ceKkcuOH41+dAlmNih+KEw4dHRk/rEuqKn5ouEp1SEgI44fVQK/X47fffhPKPXv2xJNPPlnufg4ODpg+fbrw2XX37l3RAHlz2rRpg6eeespsnVGjRonKOp0OTz/9tNGB4YYMJ6RUKpVWxcPCwsLw/PPPm63TrFkz0epNarValDRraNOmTaLy9OnTRdeZjHnppZdESZhnzpwRBpAbcnNzE33fWhL3jYiIQLdu3YSyJXHfpk2bwt/fv0ydoqIiUcx21KhR6Nu3r9H2DLm7u2Pq1KlCOTIyEtevXy93PwBo37690RUEiYiIiIiIqOLqeqyZuaplMVfVeow1Vw5zVYvdD7HmynrqqafKjf8axo1LriVOmzYNHh4eJvfx9vZGv379hPKVK1fKnaj1gQceEL3XY2JisGTJEqG8adMm0aQMvXr1wnPPPWe2zbqGg9uJiIiIiOqwEUPurTqxc+9BUTLnhctXkHgnCQAgk0rx0MB+Zfa3pZIf7SViY2NrVHuV5ejoaHb13RIymUwUyC0JVpV28+ZN0UDO/v37m1zdxFBQUBB69uxZfocNfPjhhzhx4oTwb+TIkVbtb07pGeasXfGidMBQqVRWuk8lbty4IUp6nDFjBlfksFKXLl1Qv359AMWvzZ49e0T3G16oGDx4cIWC2RkZGaJkxscee8zidry8vESDq8+ePWv18U1pUSoh/vLlyxbvO2bMGIsGKRuuWASY/rwo8ddff4ney+Wtym0tw+fSVJKj4YruERERotV4jO2jUChw5coVo8cwdOjQIVH5mWeesajPo0ePFs2qW7odU1xdXTF06FCL6pqj1+vx3Xff4csvvxQCmSEhIVi5cqVFM1Abftddu3ZN9D1elXx9feHtfW9ghamLXUREREREVPsYrlyxc+dOcfzwwgVhpQCZTIaHHnrIrn2xdbzP2dlZVE4wslpQVXJwcMCDgwaXW08qk6Flq1ZC+e6dRKP17iYmIi01RShH9OgJD0+vctv3r18f4R07lVvP0Ntvz8HWrceFf4MGjSh/JwuVjh9aGz8qHc9j/LBmYfzwnroeP4yOjhYd35KB7SWaNWsmer4sfR1Gjx5dbp0GDRqUubYyZsyYcvdr166dqGxsxTlTnnjiCYtev1GjRom+qw4cOFCmjlqtFp3fTZs2tegakEwmKxNDPXz4sNG6hu+ByMhIqNXqMnWsjfvq9XrRPqbivkeOHBEl41pz3nTv3l2UbGrpeWPJ609ERERERETWq8ux5rqeqxofH89cVTBXtaZjrPmeuh5rrixL4n+lB78HBgZa9HlmGDcuKipCUlJSufu88sor6Nixo1DevHkz9uzZgytXruC7774T9eHDDz80O7FIXcTB7UREREREddjAfr3h/L+AS2paOs5GXhTu27br3kxf3bt2hq/BoDV7aN26tegH1/z58xEdHV3h9tzc3NCkSROhvGrVKuzevbvaBv61atVKNIDSHMOVgPPy8ozWKR186N69u8V9saauvZUO+BlLijKndMCxdFJyRen1eixatEjoz4gRI9C5c2ebtH0/kUqlogHAhgHC1NRUUfKa4QUMa0RGRorKhkEeSzRq1Ei4bcnqOgUFBdixYwcWLlyIl156CQ8//DAGDBiAXr16if71799ftF9qaqrFfbL0XCu9anhubq7Fx7AHw4TFxMRE0UUNALh16xaSk5MBAD4+PggJCRHtc/78eWg0GtE+Z8+eFc1eabjij6GLF+99f/n6+pY7s2YJuVwuCjomJiYiKyur3P3atGkDuVxu0TFMUSqVmD17NtatWyds69atG3766ScEBARY1EabNm2E2wkJCfj444+tmnm1PGq1GgcOHMBnn32GiRMn4uGHH8bAgQPLnO+9evVCRkaGsF9aWprN+kBERERERNVr0KBBQrwlNTVVlGxjuJJO9+7dy10ltrKMxQ+tWSm3NBdXF9RvECiU/9q8CSeOHqm2+GHT5i0gL5UEaYqf/73fjQWlVh8pEX9NnEDZrkNHi/vS3oq69lY6flg6dlCe0vFGxg9rFsYP76nr8cPz588LtyUSCTp06GDV/oavg6UJ4pYewzAW5+/vb1GiZen4nalrOcZYuiqUm5ub6LWOi4tDUVGRqM7Vq1dFidSWrGpeol+/fqLEVcMYqyHDGG5RUREuXLggur+wsFCY7FImk6FLly5o3769kNh//fp1Ueyw5LEYxmFNxX0NzxsvLy80bdrUgkdWTCqVil5LS88bfpYTERERERHZR02PNTNX1XR8IyoqSlRmrmoxxpprFsaa76nrsebK8Pf3R3BwcLn1Ssd/w8PDLRpUXnq/fBPX8AzJZDJ89NFHosWFPvnkE8ycOVP4XHBwcMDChQvh6elZbnt1jfXTUBARERERUa3h7uaKvr26Y/f+4tUYtu/eh4jOHaBUqbD34BGhnuEK7/bi5+eHwYMHY9euXQCKBxi+/PLLCA0NxQMPPIBOnTqhXbt2cHd3t7jNZ555Bp9++imA4kGEc+bMwXfffYfevXujc+fOCA8Pt3gAYWX5+/tbXNdwJs+CggKjde7cuSMql555zxxr6tpb6VlLSwcAy1O6fun2Kmrz5s1CIpenpyfeeOMNm7R7Pxo+fDjWrFkDoDjQfefOHQQHB4tm4G3atKlokK41SiekjR071qr9DS8imBsUrNFosHHjRqxcudLk+9Ica4J5ln5elD7fCwsLreqTrRkmOQLFK/IYzgJsuEJP165dIZFIEBAQgCZNmiAhIQEKhQLR0dGiGYFPnTol3Pb29kZISEiZ4+r1emH2ZgBo2bKlVf0OCwvD3r17hXJCQoIoUGiM4QWpisjJycHrr78uShh9+OGHMWPGDKtmhX344Yexdu1aIQi6bds27NmzBxEREejWrRs6dOiAkJAQyGQyq/u4detWLF261KLB/qXV1uA1ERERERGV5ebmhr59+2L37t0AipOBIiIioFQqRb+lKpoIZA1j8cN3330XTZo0RvvO7RDRIwKtWreEm7ubxW0OHDIQ69cUTzqmVqnwwzdfYcPa1ejYNQKt27ZDaFgr+Ng5kbKEtwUr3ZRwlt9Lmis90LFEakqKqNyocWOL229Yyd+9tuTiIk7CVKsZP6xrqjp++Pzzz1u1P+OHtmH4Ouj1egwePNiq/Q1fB0ufK0uv/xg+T/Z+bv39/cuNPRpq2bIljh8/DgDQarW4ffs2QkNDhftv3bpVpr6lXF1d0ahRIyQkJACA8P/SwsPDIZfLhe+b06dPo0uXLsL958+fF5Is27RpAze34u/hDh064MSJE8Iq7Yar7hnGfWUymckkWsPzJjs72+KJAUoYTpxqyXkjl8uFFb6IiIiIiIjItmp6rJm5qqZzVW/fvi0qM1fVeHsVxViz7TBXtVhdjzVXRkUfb0X3s/T18/f3x7x58/D2229Dp9NBoVBAoVAI90+ZMkW0Kvz9hIPbiYiI6qj09PRqmxHufiSRSIRZ83NycqDX68vUkUql8PPzq+quEWH44AHC4Pb9h49j+puTceTEaeTlF/8ocndzQ58HjK+YYCnD1XTUarXJWeHGjRuHW7duISYmRth27do1XLt2DWvWrIFUKkWTJk0QHh6OXr16oVWrVmaP+8ADD2DEiBHYtm2bsC01NRV//vkn/vzzTwDFyU3t27dH9+7d0aVLFzg6Oppt0/DHYkl7ppT+nLV0Njxzxyj5rCg9S6aHh4dFbQOoUTO3lZ4h1NpATOn6tggYpqamYtmyZUL5jTfegJeXV6XbvV81adIEbdq0EWa33b59OyZOnCiacbcyFyWys7NFZcNkNWuZmiVRo9Fg7ty5ogsp1rImGF7R89jY3xdVqX79+sJAdcD84HbDlXgiIiJE+xgObjc2IL40hUIhet2tnb3Zp9TgAUuCu9ZcvDJm8+bNovJLL72EV1991ep2vL29hVk6S85fpVKJI0eO4MiR4klqXF1dER4ejp49e2LgwIEW/b25ePFibNiwwer+lLD24g8REREREdVsw4YNExIO9+/fj/feew9HjhwR4lPu7u7o06dPlfRl+vTpSEpKEk0WlpBwCwkJt7B1y3ZIpVI0bd4E4Z3ao3e/XmjVJsxse70f7Ivbt+7i8P79wrbMjAzs+28n9v23EwDgFxCA1m3boXNEN3To1BkO5cQPK8pZLreidvmrQxQoxHEON/d6FrfuXs/yuvYml5dOBFKYqGlcYaG4PuOHNQ/jh8XqevywKl6H0uRWfa4Ws3TFrdJxSkufW2sGtgNlY5elrw2VLlckNloSmzW1OpujoyM6duyIEydOACiO2RrGMs3FfQ33MRzcbrhP69atTcZbq/q8qVeDvv+IiIiIiIjqopoeay6dqxoSEoIuXbpg4MCB5Q4qHDVqFOLi4kQ5QaVzVRs0aIDOnTujX79+6NmzZ7m5qhVVkZiIOaVzqZirWoyx5pqHseZidT3WXBkVjf9W9HPVmuepe/fueOGFF7B69WrR9j59+uDZZ5+t0PHrAg5uJyIiqqN0Oh2K1IXQ6NTV3ZX7ggQSSJ2Kb+cX5UIP8R+qDlJHyB1tM4MbkbW6d+kIXx9vZGRmobCoCPsPH8OuA4eF+wf26wVnJ6dKHcPwx5lep4W2yHiCjFwGLJw7C7v37se/23biblKS6H6dTocbN27gxo0b+Pvvv9GieTO89MJzaNemtcljT3jxWXTp0A6bt/yNKzFXy/xQTE1Nxd69e7F37174eHvjqSfGYMgg0yvV6zXiH/2mHkvx4743uF2vVZuta9ExpI6AU/EP5NLBB2sCnfYKilaEr68vZDKZEOSxdAKAEimlVqCyxeymy5cvFwKRnTp1wsiRIyvd5v1u+PDhQsBw586deOCBB3Dz5k0AxRM2DB06tMJtW5rIaAlTgaTff/9dFCx0cnLCoEGD0L17dzRv3hz+/v6Qy+VwdnYWBbV69OhRbtt1jeFA9TNnzkCv10MikUCn0+HcuXOieiW6desmXNg5ffo0xo8fD6D488BwtaDSK8OXKH3hwNpAYkUuXFizuroxzs7OwsRHABAZGQmFQiGsamSNiIgIrF+/Hr/88gv++++/Mv0vKCjAiRMncOLECSxZsgTDhw/H66+/bvLi0Z49e0QD22UyGXr37o3evXsjNDQUAQEBcHV1LXO+jxo1CsnJyQDun/OdiIiIiOh+0b17d/j6+iIjIwOFhYXYv3+/kIAIAAMHDrQ4GaSy3N3dsWzZMvz999/YuHFjmRVrdTodrsfdwPW4G/jr//5BSMsWGD95HNp3MJ14+Ngzz6J7rz7498/NiL1ypcxvmvTUVBxO3YfD+/fB28cHo554Cv0HD7HL47OlklV0S1jzW9bRoebED729xfHDjIw0q/ZPTxfHGxk/rJkYP6z78RRbvg61eQJ3a5NFS8c6S6+IVHqyZGvbN4yNlm7LkOFA9ZiYGOTl5QkDwQ0HqpeO+5YwrKNWqxEVFWV0n9Kq+ryRyWQ2Ox4RERERERGVVdtizbGxsYiNjcXvv/+OVq1a4c0330Tnzp1Ntjlt2jT07t0ba9asQWRkZJl4T1JSErZt24Zt27bB398f48ePx6hRo+zx8GyKuarFmKtaOzDWXPdjzXWZk5HxGg888EA19KTm4OB2IiKiOkyjU6NQXQCZTFrdXanzJJBAqSv+ga7SFYkGt2u1Org4ugLg4HaqHjKZDA8N7If1//cXAGDDn/8g7vpN4f4RQ0wP9K4IiV4HB63S5P0OAEYO7IORA/vgRsJtXIyOwZXYOFyJjUNGZpaobvz1G5g7/2O8PvElDO5vesbOiPZhiGg/HWkZmYi6FI3oq9cQExuPxLtJoh/xmVlZWPbzSsRejcHUV8cbbUuq14jK5h6LxKDt8h53ecfQarXQO7kCKE5kKr2KRUFBgcUzNppLUKpqDg4OCA4OFoLDKSkpwmBYSxgGGOVyORo0aFDpPuXk5Ai3o6Ki0KtXr3L3KT0DY+l9jh49Wul+1WaDBw/Gt99+C7VajTt37uCrr74S7uvSpUulAr2GFzSkUikOHjxo06C4Wq3GmjVrhLKvry++//57NGvWzOx+1s7sWld07dpVGKienZ2N2NhYhIWFISYmRpjFt0mTJqhfv76wT5cuXYQLB5cuXUJBQQFcXV1FCY8lbRtTenB6UVGRVX0u/VqVbs8enn76ady8eRMHDx4EUDy4/Y033sA333xToRmLAwICMGPGDLz11ls4f/48IiMjcfHiRVy+fFk0iF6r1eLff//FqVOn8PPPP4tehxIrVqwQbsvlcixevBgdO3Ystw+lE2uJiIiIiKjukMlkeOihh7B+/XoAwIYNGxAfHy/cX5lVLirCwcEBjz32GB577DGcPHkSZ86fxtWrMYi/dgMZ6RmiunGx8Zj97od4/d0pGDJskMk2wzt2QnjHTshIT0f0xQuIjbmCuKtXcfdOoih+mJWZiV9+Woa42KuY+NobdnuMtuDqKp5AraiwEPUsXFGnsLDmxDUcHBwQGBiMO3eK44fp6dbFD9PT7yUcOjs7M35YQ1Vl/PDQoUOVnrjQEOOHljF8Hfz9/fHvv/9WY2+qj7UxtNKxztKD10tPlmlt+4bnobmJNw1js1qtFmfPnsWDDz6IrKws4W8CV1dX0Sp2ISEh8Pb2RlZWFlJSUnDr1i00btwYFy9eFPXTVNwXEJ834eHh+Pnnn616fERERERERFSz1ORY87Vr13Du3DlcuHABFy5cQFqaeJLNmJgYvP7665g5cyYefvhhk2326NEDPXr0QEpKCk6fPo2oqChcunQJN2/eFMWa09LS8Omnn+LixYuYM2eO3R6jLZRMcFeCuarMVa3JmKtKtdXZs2excuXKMtuXLFmCjh07lnse1FUc3E5ERFTHyWRS+Pn7VXc36jwJJPD0LE4ac3Z2Fg1uT09Lr65uEQlGDB4gDG6/Gndd2N4wKBAd2rWx6bGcHB0RYOHnToC/H7p37SSUbyXexZETp/D39l24eSsRAKDT6/HDql/xYO+eCA4KLLe9tq1aCuWs7BwcP30O23ftw+nz91aJ2HvwKPr07IZhg/qXacOt1KBHc4/FcIUHF7mzxY/b2DFS09JhOOS9dHAwOTkZQUFBFrWflJRkUb2q0rRpUyFgqFQqcfPmTYt+hCsUCty+fVsoN27c2OJAo6UqugJM6QDi/c7T0xMPPPCAMJC3ZGZMoPIXJQzfCzqdDnfv3kWTJk0q1aahyMhI0YybU6ZMsej8zMzMtFkfahPDgepA8Yo8YWFhOHPmjFCn9Eo8bm5uaN26NS5dugSNRoPz58+jV69eOHXqlFCnYcOGJj/j3NzcSq3glmG0nimlXysPCxP9K8PBwQEff/wxPvroI/z3338Ait8XU6ZMwZIlS+Dr61uhduVyOXr27ImePXsCADQaDaKiorBv3z7s2LFDCGSnpKTgo48+wvfffy/aPzExUZipFgCef/55iwa2q9Vqm85MS0RERERENc/w4cOFhMPY2Fhhe8OGDdGhQ4fq6haaNWsG/yBfDBz2IPz8/XAn8S5OHT+N/7btRmJJ/FCnww/f/IjwDu0QWE780NfPD336D0Cf/sUTfubm5OBi5HkcPrAf0RcvCPUO79+HNu3bo1ffB+322CrL3UOccJiRngZ/I5OcGZNm5Yo19taoUVNhcLtSqURiYgIaNWpa7n4FBQrcvZsolIOCghg/rKGqOn7YuHHjSrVpiPFDyxi+Dunp6VAqlVW2EltNkpWVVX4lA6XPk9LJ5KXLlYmNlm7LUMuWLeHl5YXs7GwAxXHfBx98EGfOnBES8zt16iSaOEIikaBr167CCnynTp1C48aNRXFfuVyO8PBwk8f18vJCcnIyAODOnTtWPTYiIiIiIiKqmWpqrDk0NBShoaF46qmnAAC3bt3CkSNH8PfffyMhIQFAcWzps88+Q+fOnREcHGy2vfr162PkyJHCStxZWVk4ceIEtm3bJsqj2rZtG7p27Yphw4bZ6ZFVnre3t6jMXFXmqtZkzFWl2igzMxNz584V3s/Ozs5Qq9XQ6XQoLCzE7NmzsWrVKsjl8mruadXjMq5ERERERPeBkOZN0bJF2R/AwwbbdtX2ymrcMAjPPj4K65d/J1pRXqPRYNvufVa35+3lieGD++P7Lz7C7HdfF9339/Zdle6vPbVs2VJUNgzAlOfKlSu27k6llA5KX7x40aL9Ll++LAroWTIAk6rPiBEjymxzdXXFgw8+WKl2Swfvzp8/X6n2Siu5OFGiZNBweWra+6yq1KtXD2FhYUK5JFHRMGGx9OD20ttKVmw/e/as2X1KSCQSNGzYUCgbXviyxNWrV0VlWwaczXFwcMC8efMwevRoYVt8fDxeffVVIWHTFsfo0qUL3nvvPaxfvx7+/v7CfWfOnMHdu3dF9Usu3pSw9Hy/evUqL5QQEREREdVxISEhZeJRAGpcwl1wwyCMfuJRLF35LQY+dG/iSo1Gg7279lvdnoenJ3r1exDvz52P8ZNfE913YM/uSvfXnpo0ay4qx8dds3jfG/Fxtu5OpbRpIx74eOXKBRM1xWJjxfFDwxWFqeapqvjhuXPnKtVeaYwfWsbwddDr9YiMjKy+zlSjtLQ0YYC4Ja5du/fZLZPJ0KhRI9H9pSdqsCY2WlBQIErKNhcXlUgk6NKli1CuTNy35P9A8XUdc6tbGZ43GRkZZeKXREREREREVPvUllhz48aN8eyzz2L9+vWiAbEajQbbt2+3uj1vb28MGzYM33//PWbNmiW6759//ql0f+2pdevWojJzVZmrWtMxV5VqE51Oh7lz5yI9/d6CmdOnT8e4ceOE8vXr1/Hll19WR/eqHQe3ExERERHdJ4aXGsgukUgwfNCD1dOZcshkMrz7+iRIpfd+slyLv1GpNh8ZNgStWoYYtHezUu3ZW9u2bUUrw5esfFEevV6PPXv22KtbFdKnTx9Red8+yyYqKF2vb9++NunP559/jhMnTlj1LzBQvOpX6fsJeOCBB0QzVwLAgw8+CBcXl0q1WzphrmQVbFspvRq1pat6792716b9qE0MX5OoqCjk5eUJFwJkMpkoCdLYPqdPn0Z8fLwoWGducDsA0eo+GRkZuHz5skV9LSoqEr1HGzZsWGa2YXuSSCSYMWMGnnvuOWHb7du38eqrr4oSS20hMDAQL7zwgmibYXIsAOTl5YnK5lZrMmTN+W64ehNQ8VmHiYiIiIio6pVOLpRIJDUu4bCETCbDK2+I44c3Khk/7DdwEJo2byGUb9+8Wan27K1FaEtR/PDk0SMW7afX63Hy6FF7datCuncXx/2OHrVsooIjR8Txw27dutmkP4wf2kdVxQ937bLtxLaMH1qma9euorKt47i1yZEjln0eKxQK0WQMISEhZVbmadWqFZydnYXyoUOHLO7HoUOHRLG59u3bm61v+F66ffs2kpOTRSvNGfuMNdx27tw55OTkICYmxmibxvC8ISIiIiIiqptqW6z53XffFeeqXrN8IlFjHnnkEbRq1cpm7dlbhw4dmKvKXNVahbmqVJusWrVKNCHoyJEjMWLECIwfP14UH926dWuFJlep7RzKr0JERERERHXB8MH9Acm9cj13dwQ1CDS9QzVzc3WFp0c9ZGXnAADUGk2l22zYIBAxsXH/a09d6fbsqV69eujduzcOHjwIoHjV3IMHD6Jfv35m9/vnn3/KrNRb3Ro3bozQ0FAhSHvq1Cncvn27zAokhnJzc0WBTx8fH86GWcM5ODhgzpw5ogG7PXr0qHS7gYGBaN++vTB4+vz58zh+/LjFs1aWx9XVVVS+e/dumdVwSouLi8Phw4dtcvzaqFu3blizZg0AQKlU4rfffoNSqQRQPJOvu7t7mX3at28PFxcXFBYWIj4+XhT4lUqlRgfEG+rTpw/+/fdfofz7779j4cKF5fb177//hkKhEMrlfYbayxtvvAFXV1csX74cAJCcnIxXX30V3333HZo3b17O3pYLDg4WldVq8Xdd6fM9KSmp3PM9PT1d9NyXp/QxcnNzLd6XiIiIiIiq1/DhwyGR3Asguru7IygoqBp7ZJ6rqws8POshO+t/8UN15eOHAYGBuHk9HkDxCj01mZubGzp26Yqzp04CAG5ev46zp07C29f8pG4H9+5BWmpKVXTRYsHBjdCsWShu3CiOH54/fwp3795GUJDp+GF+fi4OH76X0OXp6cWV22s4e8YPw8PDceHCBQDFA2wZP6x64eHhCAwMRHJyMoDixM/nnnsOLVq0KGfPumfz5s0YMWKE6DvVmL///htFRUVC2djKUg4ODujRo4dwrejmzZs4fvx4uQMCdDodNmzYINpWXlJ26cHrW7ZsQVJSEgDAz8/PaBwzMDAQDRs2RGJiIvLy8rBu3TpotVrh/vIGt/fu3Ruurq4oKCgAAGzatAljxoyBr6+v2f2IiIiIiIioZqttsWY3Nzd4enoiKysLQNl8m4oIDg4WJoCzRXv25OHhgT59+uDAgQMAmKvKXNWaj7mqVFucPXsWq1atEsrNmzfHtGnTABTnzc6fPx9jx45FZmYmAOCLL75A69at0axZs2rpb3Xgyu1ERERERPcJT08PPPPYo8K/kQ8NrNLj30i4DcX/klMscfNWIrJz7g2IC6ofILo/IzMLySlpFrenVqtx6cpVodygfn2L960uzzzzjKi8aNEis7N4RkVFYfHixVYfZ8GCBejRo4fwb+vWrVa3UZ5x48YJt3U6HT7//HPo9XqT9ZcsWSKapfCFF14osxpwaaNGjRI9jpoWOL0f9OrVC08//bTwr2nTpjZpd8KECaLy/PnzceOGdauxxcXFCRcgDJVOyPv777/NtpObm4u5c+eKEvRqiqp6D7Rv3160WtDGjRuF26aSFR0dHdGhQwehvGnTJuF2aGgoPD09zR6zd+/eootce/bsKXdm3Rs3buDnn38WyjKZDI8//rjZfexp/PjxmDp1qlDOyMjA5MmTRSsZlWbpCvUlIiMjReUGDRqIyqWTif/55x+z7alUKsybN6/MrLHmNGjQQHSB8sqVKxbvS0RERERE1cvT01P0u37kyJFVevwbN26IJigrz+1bicjJvhc/rB8ojh9mZ+cgMyPT4vY0ajXiY2OFsl9AgJnaNcPQkY+IyiuXLUXy/wYiGhMbcwXrVq8yeb8p33zzEUaO7Cn827Nnm9VtlOepp14Sbut0Ovzwwxdm44crViyBQnHv9+ojj4wWrS5kDOOH1c9e8cPx48eLyowfGmfP94CDgwNeeukloazVajFjxgykpVl+HQcojm+pVCqb9as6xMTEYP369WbrJCQkYOXKlULZwcEBjzzyiNG6Tz75pKj8+eefC8mOpqxZs6bMCurlTTQQFBQkisEaxn1Lr7BuyDAmbBj39fLyQmhoqNljenp64oknnhDKeXl5eP/9962KRwIQrXxERERERERE1a+2xZpv3ryJ7OxsoVw63yYjI0OY0M8SarValPNTur2a6OmnnxaVmavKXNWajrmq1YvvgfJlZGTgww8/hE6nAwC4uLjg448/hlwuF+r4+vpi/vz5kEqLh3gXFhZi9uzZoklR6zoObiciIiIioiqx58BhPPLMeHy1dDmiLkWbDRbFXb+JGfM+EdV5sLd45rubtxIxZuxEzFrwGQ4ePYGi/60abExWdg4++PgLJKfeS6Lq39s2M+nZU8eOHUXJTDk5OZgwYQJ+/PFHXLt2DSqVCkVFRYiNjcW3336L1157DYWFhWjfvn019tq4/v37o02bNkL59OnTmDt3rrAaRwmVSoXFixeLgpYNGjTA6NGjq6yvtU1VBHyrW/fu3fHwww8L5ezsbIwfPx7/93//J6wYbkxhYSF2796Nt99+G88//7zRRMrw8HB4eXkJ5d9//x2bN282+hl15coVTJ48GfHx8XBxcancg6rFnJycRAPVDQNppVf3MWSY5Gi4T3mr9wDFs1QaDgwHgLlz5+KPP/4w+lqdOnUKb7zxhuhC1bPPPlvtF4uefvppzJw5UwhG5uTk4LXXXiszKL3E7Nmz8dxzz2Hjxo1ISTG9qp5Op8Nff/2FdevWCdvq16+P1q1bi+oFBQWJklj37t2LH3/80ehqhLdu3cJbb72FM2fOQCqViiY0MMfd3V10seCPP/7A7t27rbpoSERERERE96c9e/bg0Ucfxddff42oqCiz8cOb129i0dxPRXUe6COO9yXdScKH02dj9U8/4uypk1CZiSHk5uRg6TdfISP9Xuyga/fKr/Jhb2Ft2qDfwEFCOT8vDyuWLsX+3buQmpwMtUoFpVKJhBvXsX7NL/hk3odQFhUhpGVYNfbauF69+iM09N7v2MjI0/jyy7koLBTHD9VqFZYv/1Y0wN7PLwADBz5UZX2tbe6H+GGPHj3w2GOPCWXGD6vHww8/LIoPJiYm4sUXX8TOnTvNJmDm5ubi33//xSuvvIJXX33V7GtW0zk5OQEAvv/+e6xatcpo3O38+fNlYpcvvviiydXKu3TpIlop7e7du3jhhReMTiqpVqvx448/4qeffhL16c0337So/6ZiuBWJ+3bp0qXc1esB4KWXXkJISIhQvnjxIsaNG4cjR46Y/VsgPT0dmzZtwvPPP4+ZM2eWexwiIiIiIiK6f1gTa46Li8P7778vzlV98EFRnZs3b+Kxxx7D7NmzcfDgQbODDrOysvDBBx+IBsOXbq8m6tSpk8lc1evXrzNXlQDcH7Fm5qqSLeh0OsydOxcZGRnCtunTpxtdkT0iIkI0Kcf169fxxRdfVEk/awLzU4kQERERERHZUL5CgU1b/sWmLf/Co547wkJaoHGjYHi4u0MqkyI7Owcx1+IRffWa6Md63we6o1uXjmXa0+p02HvoKPYeOgpnJyeENG+KFs2awMvDA87OTshXFOBGwi2cv3AZSoOVPgID/PH8k7UjAPX222/j9u3bOH/+PABAqVTil19+wS+//GK0fnBwMKZPn46xY8cK28pbsagqSCQSLFq0COPGjRNmJNy1axdOnDiB3r17IyAgABkZGTh+/DjS09OF/VxcXPD5559bPKiyJurVq5fR7aWT+UzVmz17NoYPH27zftU206dPR3JysrACS0FBAb766iv8+OOP6NixIxo1agQ3NzcUFRUhOzsb8fHxiI+Ph1qtNtuuk5MTxo0bh2+++QZAcVDpyy+/xKZNmxAREQEvLy/k5ubi8uXLiI6OFvZ7++23sWjRIvs94BouIiICp06dEm1zcXExe8HCVAKkJYPbAaBv37548sknhdV/1Go1vvjiC6xduxbdu3eHn58f8vLycOHCBVy9elW0b4cOHfDKK69YdBx7e/TRR+Hq6op58+ZBq9VCoVBg6tSp+Pzzz40+R/Hx8fjmm2+wePFiBAcHIywsDP7+/nB3d4darUZycjLOnTtXJiD+9ttvC4PoDb3yyiuYPn26UF69ejV27NiB7t27w9/fHwqFAlevXsWFCxeEz6kXX3wRO3bssHgW6lGjRgnvqYKCAsyZMwcA4OzsLOrTjBkzMHToUIvaJCIiIiKi+0N+fj42bdqETZs2wcPDA82aNUNAoD/krs5wr+eOnOwcxMXG49rVOFH8sEevbujYpUOZ9nQ6HSLPnkXk2bNwdHJCo8ZN0KhJE7jXqwcnJ2cUFChwNzERMdGXoTaIH/r6+WP4I6Oq4iFX2vPjxiMlKQkx0cUrAWnUahw9cABHDxzA0q+/LFM/oH59vDTpFXww7R1hW02JH86cuQjvvPMysrOL44cHD+7G2bMn0L17H/j5BSArKwNnzhxHZua9+KFc7oI335wlDCitjRg/tI158+YhKSkJx44dA8D4YXWQyWRYuHAhpkyZgri4OABAZmYm5s2bh8WLF6NTp05o0KABXFxcUFBQgKysLFy7dg03b96skasPVUTbtm3h4+ODvXv34ueff8Yff/yBnj17CnG3S5cuic6Tkn0MV703ZtasWYiLi8OdO3cAANeuXcPo0aPRoUMHtGrVCi4uLkhJScHx48fLrAr11ltvlbuCeomIiAijK0aZi+F27doVUqlUWIHIkn0MlVwHmjx5sjDB5+3btzFt2jT4+/ujU6dO8Pf3h1wuh0KhQHp6OmJjY3H79m3hbwF3d3eLjkVERERERET3j9Kx5pYtW6JJkyaoV68eZDIZsrKyEBMTgytXrohzVfv2NZq/o9VqsXfvXuzduxfOzs5o0aIFWrRoAS8vLzg7OyM/Px83b97E+fPnRQNgAwMD8fzzz1fJY64sY7mqq1evxurVq43WZ65qzcNYs20wV5Uqa+XKlThz5oxQfvjhhzFs2DCT9cePH4+oqChhn23btqFz584YMWKE3fta3Ti4nYiIiIgAADqdFqnpZWcJs5fMrEwUFGihUUuhg+lZEatCdlYmdKoCOOiU0EnK70tdSbCpbrl5+Th9Pgqnz0eZrdenZzd8NGtaue0pVSpcjonF5ZhYs/UaBQdh8Sdz4e7uZlV/q4uLiwu+/vprfPHFF9i+fbvZup07d8ZHH32E3Nxc0XY3t5rxWAMDA/HNN99g5syZSEpKAlC8Ioupx+Xl5YX58+dbnHRVU1n6mWGqXumEsPuVo6MjvvnmG3z//ffYuHGjcFFBoVDg6NGj5e4vkUjg4GA8DPLUU0/h6tWronPx1q1buHXrltF2Xn31VTzyyCP3dcDQWGJix44dTT7HABASEgJvb29RcmXpVeDL884778DFxQVr164VzoGUlBT8888/Jvfp3bs3Fi5caLZvVW3w4MGQy+WYPXu2MLPxtGnTsHDhQvTt29foPnq9HomJiUhMTDTbtqOjI9577z2Tsz737dsXL7/8MlatWiVsM/ccjhkzBpMmTcKOHTsse3AAnnjiCURHR+O///4TbS89e62xlauIiIiIqGaqjtihTqWATKuyeexQIgEURcV/myoU+TCzYEuF6XRaSHgpvtJyc3MRFRUFmA8folvPCEyb/W657alVKlyPu4brcdfM1qvfoAGmzZ4D1xoSUyuPs1yOd2d9gDUrfsaRA/vN1m3dth2mvP0u8vPyRNtdXWvGYw0ICMS8eV/jk09mISWlOH6Yn5+HvXuNxw89PLzw3nvz0ahRUwC1N27P+KFtODk5Yfny5Vi4cCE2bNjA+GE18fDwwPLly/HJJ59g165dwvbs7Gzs32/+MwooToA2NmFjbTJr1ixkZGQgMjISGRkZZlewatOmDRYvXgxHR0ezbXp6euLnn3/GO++8I0zsqdfrERkZicjISKP7ODg4YMaMGaKVpsoTEREBiUQiSupv2rQp/P39Te7j4eGBsLCwMivJm1vtvbSgoCCsXr0aH374oZA0DABpaWmi88iU8p4/IiIiIiKqOao61lzb6XRaSFG7fyfXBLm5uThz5oxooKExvXv3xoIFC8ptT6lUIjo6uswEdqU1atQI33zzTa2ZlI25qsxVZay5GHNVqTLOnDkjWsCuRYsWePdd89cxpVIp5s+fj7FjxyIzMxMA8MUXX6BNmzZGV3uvS3hFnYiIiIgARymkrlV70V/vLIFeC2glEuicqjf4pnWSQA9Ap5NA5yQpt74EDoCu/Hok9uiIh+Du5oajJ8/g0pWrKCwqMllXIpGgXeswPPPYIxjYr7fROm3CQjF3+lQcOXEa5y5cQlZ2jtnjNwxugFHDh+DJ0Q/DuZat4uPi4oIPP/wQY8aMwfbt24UVevV6Pfz8/BAaGorhw4ejZ8+ekEqlZYIcNSk42qpVK/z666/46aef8N9//5UJbgKAXC7HgAED8Nprr8HX17caelm7ZGRkCLclEgnCwsKqsTf25eDggKlTp+LRRx/F2rVrcejQISgUCpP1ZTIZwsLC0Lt3bwwdOhRBQUEm63744Ydo06YNfvnlF9FzWkIqlaJTp054+eWX0aVLF5s8ntosLCwMnp6eyMm599lb3ko8EokEERERomTE8PBwyOVyq449efJk9OvXDz///DNOnz5tMtjesmVLvPTSSxgwYIBV7VeVPn364KuvvsL06dNRWFgIlUqFmTNnYu7cuRgyZAiA4hXHDhw4gFOnTuHGjRuipNLSXF1d0a9fP7z88sto1KiR2WNPmjQJzZs3x48//mhysHybNm3w/PPPV+j5k8lkWLJkCQ4ePIi//voLV69eRUpKCgoLCzlJEBEREVFtVE2xQx0AqU4CvdwOcbj/tanXSOwy7aYEDpA4MOHQWo8++ijc3d1x9OhRXL58GYWFhSbrSiQShLVuiVGPP4LeDxpfYaR5i2Z4YcJLuHD+Iq7HxSE3x3z8sH5gAzw4aDAGDx9R61YBd5bLMen1NzFwyFBs+2cLbsTHIz83FxKJBD5+fmjYqDF6P9gf4Z06QyqVIunuHdH+NWVwOwCEhLTCkiVr8dtvP2P//p3Iz88rU8fZWY5evfpj3LjX4O3ti/T01Groae1xP8YPH3nkEcYPq5GLiwsWLFiAJ598Er/++itOnDhRZtJDQ46OjmjXrh369OmDhx56qMYkQVeUm5sbvv/+e/zyyy/4888/y6ykDhQPVn/mmWfw/PPPWzwpp6+vL1auXIl///0Xv//+u9GEVwBwdnZG37598corr6Bhw4ZW9d3T0xOhoaGIjb03kbQlK4Nv+40AAQAASURBVLB369ZNNLg9ODjY7PvJGG9vb3z33Xc4fvw41q1bh8jISLOTY8rlcnTs2BEPPvggBg0aZNWxiIiIiIiomlRDrLm2k0IKODLWbC1rY83t2rXD008/jYEDBxqt06ZNG3z44Yc4evQozp07Z/S3vqGGDRvi0UcfxZNPPlnrVgEvnat69uxZIVfV39+fuar3OcOV7u+XWDNzVckaGRkZmDt3rjBRhIuLCz7++GOLcmR9fX0xf/58vPXWW9DpdCgqKsLs2bOxatUqq3NsaxOJ3lxWLNU65f2RVJtJJBJ4eXkBKJ7RmacuWYLnDVVEXTlvUlNTka/MhUpXBD9/v+ruTp0ngQSenh4AgJycXOgNUiLT09LhJJXD3dkDAQEB1dVFk9LT06tlprX09HQoFBqo1TL4+FTvOZqZmQ6dMh8OOhV8fXws2icrKxNOTno0augHP7+K9V8iATw8PAEAubk5dlklqqpEx8RCrVHD2dERrcJalltfo9XiRsIt3E5MQlpGxv+ChxK4u7khqEF9hIU0h6+Pt1V9uHM3GTdvJyI5JRX5igLodDq4uMjh7+eL0ObN0LihdUk0VS01LR0amTNk8nrlflaU9121ceNGfPPNN0J569atFT5P7UmlUiEyMhLJycnIysqCh4cH6tevj44dO8LV1bW6u1crqNVqDB48GEX/myxi8ODB+Oijj4zWrSt/4xjSarWIiYnBrVu3kJOTg4KCAri4uMDT0xONGjVC8+bNrU6E1Gg0uHTpEuLi4pCfnw93d3f4+fmhbdu2Zlenqatq+nmTl5eHyMhIpKWlITc3F66urvDx8UH79u1Rv3796u6eTeXl5SE+Ph53795FVlYWlEolnJ2d4enpiaZNmyI0NNTqC2I6nQ5Xr17F1atXkZ2dDRcXF/j7+6Nly5ZWJ74aqunnjTne3tb9/UGWqcsxS6rbavPnGZG1eL6TKdUZO9Qq8+GgVcHP17J4naUkEqBeveJYbl5erl1jclKp1Gb9tyZ2VBdoNBrcuHEDly9fxt2UO1AU5sPN3Q1ubq6oH1gfLUKbw7uc+GFGejoUCi1Uail8fPyQmpKMpDt3kJ6WhoICBfQ6HZzlcnj7+KJx06YIbFCz44eWuh4fC41GC0dHJ3To0AkAkJuXBxhct/hv279Y98sqobx27b/VHqc3Rq1W4fLlSKSmJiM7Owv16nnAz68+2rXrCBeXe/HD9PRUODlp4e7ucF+8P6xhTfywNjP1twzjhzWDSqXC5cuXcefOHeTk5EClUsHV1RVeXl5o3LgxmjVrVquT8yZPnozz588DADp16oRly5YJ92k0GkRGRgoxvXr16qFRo0bo1KmTxYPaSys5369fv47Tp08jMzMTSqUSnp6eaNCgATp06FCrn88ShYWFuHjxIlJSUpCTkwONRgMXFxf4+vqiSZMmaNq06X2xYjvjlfZhbbySv5nJEjxPyBI8TyouNTUV2qI8OGiVCKjjuZC2zCezNp+LitX0OFxt/SyprlhzXSGVSq3K/6ut54k9lMSab9++jbS0NBQWFkIikcDNzQ1BQUEICwuzelDznTt3kJCQgKSkJCgUCmi1Wri6usLf3x8hISFo3LixnR6NbdniPGGuat1Xcp6oVCpERETU+VizKYw1m8fvnfuHreOVXLmdiIiI6D5XnUEEuVwDlUoGP7/qDwLrlM5w1Cnh52vZ8yGVAI6OXHm0ohxkMoQ2b4bQ5s1s1mZwUCCCgwJt1l5tduDAAeG2v79/jQwWAoCTkxO6detW3d2o1S5cuCAEC2UyGSZNmlTNPapaMpkMbdu2Rdu2bW3WpoODAzp27IiOHTvarE2yn3r16qFPnz7V3Y0qUa9ePZufm1KpFK1bt0br1q1t1iYRERER1S3VGVPQFjnbJWHZMEHYRe5UqyecrMscHBwQGhoKT09Pm03kG1A/EAH1GT8EgDMnTwi3vb19a+TAdgBwdHRCx46MH1YG44eMH9YETk5O6NSpEzp16lTdXalyDg4O6Nq1q13abt68OXx8fOpsoqiLiwuvIREREVGtkZ6RabNBuxIJUFikAlD5iRkzs7Kg1mjg7OiA1LT08ne4T9lygkoyrabmr1HdVxJrDg0NtVmbwcHBCA4Otll7tRlzVe8f586dY6yZsWYim+PgdiIiIiIiojrkxIkTwgohANC7d+9q7A3Z26lTp4TbjzzyCBo1alSNvSEiIiIiIiIiopruQuR5XI2OFsodOthn0CXVDIwfEhERERER2Z9Op4O6SAO9pvID3CUAlPrigWOqfBUqM5WRVqGFTquBxkECVb6q0n2riyQOUjjKOaSGiKgimKt6fzl27Jhwm7FmIrIV/iVORERERERUw+3btw8PPvggpFKp2XpRUVGYO3euaNuYMWPs2TWqZqdPnwYAyOVyjB8/vpp7Q0RERERERERE1eHU8WPo2r1HufHD2Jgr+PHbb0TbBgwYZs+uUTVj/JCIiIiIiKhq6DU66As0kEpllWpHIgHgUDykXaLUozKj26UqQKqVQKYDJEWVGSZfN+l0WsCVw2mIiAwxV5VMKRnczlgzEdlSlf01rlAoEB0djQsXLuDChQu4ePEi7ty5I9wfHByMffv2WdVmWFiYTfq2du1adO/e3SZtAZXr1+XLl+HgwB9JRERERER0z6xZsxAUFIRBgwaha9euCAkJgbu7OwAgIyMDV65cwe7du7F7925otVphv1GjRiE0NLS6uk12lpeXh6tXrwIAnnzySfj5+VVzj4iIiIiIiIiIqDp8/9UX8A+oj+69esHb1we+fv7w8PSCVqtFXm4OLkRF4cTRwzh59IgoftirT380btysGntO9sT4IRERERERUdWSSmUI8PWtVBsSCeDu7gEAyJc7Q1+JMenZWTnQaDRwcnSodL/qotSMjMrMHUBEVCeVzlVt0aIFPD09AQA5OTmIiYlhrup9KDc3F9HR0QAYayYi27L7KOpffvkFf/75J+Li4qDT6ex9uApxdXWt7i4QERERERGZdffuXaxduxZr1661qH7Hjh0xdepU+3aKqlW9evVw9OjR6u4GERERERERERHVAGmpKdi65U+L6zcPCcXjTz5vxx5RdWP8kIiIiIiIiIiIiKzFXFUqzcPDA9HR0cjOzoa+MjPvEBGVYvfB7adPn0ZsbKxd2pbJZFbvo9frRYPsg4OD0a5dO1t2S0QikUAqlVpVn4iIiIiIyJCzszOUSqVFdZ2cnDBmzBi89tprcHR0tHPPiIiIiIiIiIiIqLo5OTlBpVJZVNfR0REDhgzFoOHD4eTobOeeEREREREREREREVFtwVxVIiKqSnYf3G6Mq6sr2rZti8uXL6OgoKDC7URHR1u9z8KFC/Hrr78K5VGjRtl1QPlrr72GN954w27tExERERFR3bdz504cP34c58+fR2xsLJKSkpCXlwelUgkXFxd4enqiWbNm6Ny5M4YMGQJ/f//q7jIRERERERERERFVkaWr1uBC5HnEXL6Mq1cuIysrC0UFBdBqtZDLXeDm7o7gRo3Qqk1b9OzTF94+PsjISK/ubhMRERERERERERFRDWIsVzU3NxcqlYq5qkREZHN2H9zu7OyM8PBwtG/fHu3atUP79u3RokULSKVSDBgwoFKD262lVquxdetWoSyRSDB69OgqOz4REREREVFFuLi4YMCAARgwYACA4t8yXl5eAIDs7Gzo9fpq7B0RERERERERERFVJ2e5HBE9eiKiR09cj4+FRqOFo6MTOnToBADIzcsDwBgiEZE9LFu2rLq7QERERERERERkE6VzVYmIiOzJ7oPbv/nmG3sfwmIHDx5EVlaWUO7atSsaNWpUjT0iIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiK6P0iruwNVacuWLaIyV20nIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiKqGvfN4PbMzEwcPHhQKLu4uGDo0KHV2CMiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIqL7x30zuH3r1q1Qq9VCeciQIXBzc6vGHhEREREREREREREREREREREREREREREREREREREREd0/7pvB7X/99ZeoPHr06OrpCBERERERERERERERERERERERERERERERERERERER0X3Iobo7UBViY2Nx+fJloRwcHIwePXpUybFPnjyJmJgYxMTEIDMzEw4ODvD29kaTJk0QERGBoUOHonHjxlXSFyIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIioupyXwxu37Jli6j86KOPQiKRVMmxT58+XWZbbm4uEhIScOjQISxevBjDhg3DrFmz4OvrW+njVdXjqg6Gj60uP06yLZ43VBF15byRSCQw/I/sq8x5oze4r+Q/iaRWn1O2JpFIAMN/1dsZ6/vyv7rFr2tFD1v680ZvunINd+/pq/jzcb8TP4fmn8S68l1FVYvnDVUEzxuqCJ43RERERERERERERERERERERERERERkSp0f3K7VavHvv/+Kto0ePbqaelOWVqvF1q1bcerUKSxduhTh4eGVas/Ly8s2HavhPD09q7sLVAvxvKGKqM3njVKphNQJUOoc4enpUd3dua94eNQTlZVKJZylLqjn4nnffFdbQqlUQirVoKhICk+P6n2vKYuKoHMAZDpH1HOvV/4OAJTKIsid9XBzk8HDBv2vV692v0/d3etBrVbDycnRJs/H/aiwSAWtTA4HVw+rPitq83cVVR+eN1QRPG+oInjeEBERERERERERERERERERERERERGRoTo/uP3w4cNIS0sTyl27dkXjxo3tftwmTZpg4MCB6NGjB0JCQuDj4wOZTIbMzExcunQJ27dvx86dO6HVagEAqampmDRpEjZt2lQl/SMiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIqpKdX5w+5YtW0Tlqli1feXKlejVqxckEkmZ+wIDAxEYGIhBgwbhpZdewptvvomkpCQAQFZWFqZPn44NGzZU+NjZ2dkV3remk0gkwmpfOTk50Ov11dwjqg143lBF1JXzJicnB/lFuVDpiuDs7Fzd3anzJBKJsGJ7bm6e6LzJy82DUqqGTgW+FgZycnKQl6+BSiWDs1xerX3Jy8+FTpkHR50SeRb2RaHIh0qlhU7nAGdnpwodVyKRCCu25+Xl1trPGwDIz8+DWqOGs8oJubk51d2dWikvLxcamRIytb7cz4q68l1FVYvnDVUEzxuqiNp83nh5eVV3F4iIiIiIiIiIiIiIiIiIiIiIiIiI6rQ6Pbg9NzcX+/btE8ouLi4YOnSo3Y/bu3dvi+qFh4dj1apVePLJJ5GXlwcAOH/+PA4ePIh+/fpV6Ni1KVm4MvR6/X3zWMl2eN5QRdTm80av18PwP7Izg6e45Lm/d9f//qvF55M96PV6wPBf9XbG+r78r27x61rhAxs0V5l2qt+9p692P47qJH4OLX8S+dlCFcHzhiqC5w1VBM8bIiIiIiIiIiIiIiIiIiIiIiIiIiIyJK3uDtjT1q1boVKphPKQIUPg7u5ejT0qq3nz5pg0aZJo27Zt26qpN0RERERERERERERERERERERERERERERERERERERERPZRpwe3//XXX6Ly6NGjq6cj5XjssccgkUiE8vHjx6uxN0RERERERERERERERERERERERERERERERERERERERLZXZwe3X79+HVFRUUI5KCgIPXr0qMYemebr64tGjRoJ5dTUVKjV6mrsERERERERERERERERERERERERERERERERERERERERkW3V2cHtW7ZsEZUfffRR0eroNY2vr6+onJ2dXT0dISIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIisoM6Obhdp9Phn3/+EW0bPXp0NfXGMoWFhaKys7NzNfWEiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIjI9urk4Pbjx48jOTlZKHfp0gVNmjSpxh6Zp9PpcPfuXaHs6OgIDw+PauwRERERERERERERERERERERERERERERERERERERERGRbdXJwe1//vmnqFzTV20/d+4ccnNzhXKrVq2qsTdERERERERERERERERERERERERERERERERERERERES251DdHbC1/Px87NmzRyi7uLhg2LBh1dij8i1btkxU7t27dzX1hIiIiIioYj5d/AOuxl0HAHQOb4dlXy+q5h5V3PI167Hi1w1C+eSef6qxN3WbSqVCVFQUkpOTkZWVBQ8PD9SvXx8dO3aEi4tLdXePiOqQyZMn4/z58wCATp06lYnFEBERERERkX3Vpd9lf27cgL/+b6NQXrt5SzX2pm5Tq1W4fDkKqanJyMnJQr16nvD3D0Dbth0hlzN+SEREREREREREdL+pS7Hm5cuXY+XKlUL5xIkT1dibuo25qkS2c/fuXYwZM0Yof/DBB3j44YersUdUm9W5we07duxAUVGRUB48eDDc3d0r3N6ff/6JmTNnCuXRo0fj008/NVo3OzsbSqUS9evXt7j9JUuW4MiRI0LZ2dkZzzzzTIX7S0RERET3l7vJKRj9/MQy27t0bI8fvvzY6vZycvMw4qkXoVZrRNtDWzTDbz99W+F+EhlSKBT46aefsHPnTuTm5pa538XFBf3798drr70GX19fu/WjdHDYGi+99BJeffVVG/fIelu3bsXChQvLbJ84cSLGjx9vdXtHjhzBtGnTymx/6qmn8Pbbb1eoj0RERERERERUfUonmJTo0qULli5danV7OTk5GDlyJNRqtWh7aGgofv311wr3k8hQQYECv/76M/bv34H8/Lwy98vlLujVqz9eemkKvL0ZPzSH8UMiIiIiIiIiIrIFxpqpNmKuqu2UHl9ZgrFmIqqMOje4fcsW8azoxv54spekpCQ8+eSTGD16NB555BF06dIFEonEaN1bt27hq6++ws6dO0XbJ06caNXgeCIiIqLKSk9Ph06nq5bjKhQaqNWyKj92aZmZ6dAp8+GgU1m8T1ZWJpyc9HBz87NjzyruXNQlJKekIbC+v1X77d5/uMzAdiJbiomJwcyZM5GUlGSyTmFhIbZv347jx49j/vz56NatWxX2sG7YsWNHhQKGO3bssENviKgmWb58uXC7c+fO6NKlSzX2hoiIiIhquuqMHWqV+XDQWh6vs5REAhQWFbebl5cLvd7mhxBIpVL4+frY7wCVcO7cOSQnJyMwMNCq/Xbv3l0m2ZDIluLiruKTT2YiJcV0/LCoqBB7927HmTPH8d5789CwYdOq62AdwfghEREREREREVWl6oo11xVSqRR+fjU0V5WxZqqhmKtaNRhrJqLKsPvg9jt37mDw4MFG79NqtaJ6bdq0MVpv9erVFn1B3L59G2fPnhXKQUFB6NGjh5U9rhyVSoWNGzdi48aN8PLyQps2bdC0aVN4eHhAKpUiKysLly9fxqVLl8r8cT5s2DC8/vrrVdpfIiIiIp1OB3VRIXSaqg0SqRT5UBdqoFbJoHJ2rtJjl6YuyIdOrYBep4KywMmifTTqIjg6Otq5ZxWn1+uxY89+jHvuSav22757n516RAQkJyfjnXfeQWZmprDNw8MDvXv3RkBAADIyMnDs2DFkZGQAALKysjBjxgz8/PPPCA0NtXv/ZDLLJ9uwpm51SExMRFRUFDp06GDxPnl5eTh8+LAde0VENUHpWYA5uJ2IiIiIzKnO2KFWpYBOq4JSblm8zlISCeDwv/nJlYp8uw1ulzg4wMlZbp/GbUCv12PHjh0YN26cVftt377dTj0iAlJTkzFv3jvIzr4XP3R3r4du3XrD378+MjPTcebMcWRlFccPc3KysHDh+5g16xOEhDS2e/8YP2T8kIiIiIiIiIgqprpizXWB1MERjnKX6u6GSYw1U03EXNWqw1gzEVWG3Qe36/V60SB2c0zV01uYUVB61fZHH33U5MrpVSE7OxvHjh3DsWPHzNaTyWSYMmUKJk+eXK39JSIiovuXTqOGuqgAMpm0yo6p1xQBai30Gin06sIqO67JvmiUgE4Fvbqo3Po6nQ56rRZAzRvcLpc7o6hICQBWD26/eSsRl2NihbKzsxOUSstWx3p/6hSoNWo4OzqiVVhL6zpdw0x88VlMfPHZ6u5GnaPX6zFr1ixRsHDIkCF4//334erqKmxTqVT44YcfsGHDBgDFM2NOnz4dGzZsgLOdJ8I4evSoXduvCnK5HEVFxZ9jO3bssCpguHv3bqhUqjLtEBERERER0f2t+mKHSui1KugsiNdZQyIB9KriuJ5OXWSXwe1arQ6Oclegeuf0NMrwN//OnTutSji8efMmoqOjhbKzszOUSqVF+y5btsy6jtZgY556GmOeerq6u1Hn6PV6fPLJLNHA9n79BuP119+Hi8u9+KFarcLq1cvw99/F8cOiokIsWbIIX365BPZOgWH8kPFDIiIiIiIiIqq46og113ZCrBk1b3A7Y82VN3HiREycOLG6u1HnMFe1ajDWTES2YPfB7VVFr9fj77//Fm0bPXp0lfYhMDAQ48aNw6lTp3D16lVoNBqz9T09PTFixAiMHTsWzZs3r6JeEhERERknk0nh7+dXZceTAChw1kKllsLHp+qOa7QvEkCvcoaDTgkfb59y66cbBDxqmt49umH/oaPQ6nRIuH0Hl65cRbvWYRbtu23XXuF2eNvWSEvPQFJKqr26SveZffv2iQLSERERmD9/fpkJvpycnDB16lTk5+dj69atAICkpCRs2bIFTz/NpOHy9O3bF7t27QIA7N27F++88w6cnCxb4c5wNtx+/frhv//+s0sfiYiIiIiIqPapjtihTukMmVYJP9/y43VWtS0B6tXzAAC4yB3tMrg9LaMGxw9798b+/fuh1WqRkJCAS5cuoV27dhbtaxg7CA8PR2pqKpKTk+3VVbrPHD26D9euXRHKHTtGYNq0svFDR0cnTJz4FhSKPOzZsw0AkJ6eir17/8MTT1RtjkhtxPghEREREREREVWnqo4113Zp6enV3QWTGGummoq5qlWDsWYisgW7D25v2LAhrl69au/DQCKRYO/eveVXtNKYMWMwZswYi+p6e3vj/fffB1A8g0tcXBwSExORmpoKhUIBnU4HDw8PeHl5ISwsDC1atOBK7URERERkU74+XujWtROOnzoLANi+e79Fg9t1Oh3+23tQKI8YMgCr1/+f3fpJ959ffvlFuC2VSjF9+nSzv4fefPNN7N+/HwqFAgCwdu1aPP7443BwqDNztNlFnz59cOLECeTm5iIvLw+HDx/GwIEDy93v1q1buHTpklAePnw4A4ZEREREREREdZCvry+6deuG48ePAyheTcOShEOdTieKFQwfPhyrV6+2VzfpPrRhw2rhtlQqxZQp75mNH06Y8CaOHTuAgoLi+OE//2zBmDGP2LubtR7jh0REREREREREZAuMNVNNxVzVqsFYMxHZAj9p7cTJyQlt2rRBmzZtqrsrRERERHSfGT64vzC4fff+w3h78ng4Ojqa3efM+QtISSue5dPZyQmD+vXm4HaymVu3biEuLk4od+/eHY0aNTK7j4eHB4YMGYItW7YAADIzMxEZGYmuXbvata+1nZOTEwYOHCg8b9u3b7coYGg4E2a7du3KfX2IiIiIiIiIqPYaPny4kHC4e/duTJ06tfz44ZkzSElJAQA4Oztj0KBB1Z5wmJmZCb1OZ/b+ggIt1GppFfaq+uXl5cDFxb26u2GVO3du4+bNe/HDTp26IyjIfHzK3d0DffsOxs6dfwEAcnKycenSJTRo0MCeXa31GD8kIiIiIiIiIiJbqSuxZqo7mKtadRhrJiJb4OB2IiIiIqI6pl+vHnB3c0O+QoHcvDwcOXEa/fs8YHafbbv3Cbf7PNAd7u5u9u4mACA5JQ1X4+KRkpqOgsICSCRSuMjl8PfzQcPgBmjepDFkMpnF7eXm5SMmNg6379xFvqIAOp0Ocmdn+Hh7IahBfYQ2bwa53NmOj+gerVaLqEtXkHg3CZlZ2XBzc0Vwg0B0Dm9XqT5kZGTg/PnzUCgU0Ol0cHd3R0hICJo1a2bD3tvW4cOHReUBAwZYtN+AAQOEwBcAHDp0iAFDCwwfPlx43k6cOIHMzEz4+PiYrK/X67Fz507R/rag0Whw6dIlJCYmIjs7GxKJBF5eXmjRogXCwsLMzoZqjlqtRnx8PBISEpCZmYnCwkK4ubnBw8MDYWFhaNasWYXbNiYnJweRkZFITU1FYWEhvLy80Lp1a4SEhNj0OHWRRqPBhQsXcOfOHWRlZcHBwQHe3t4IDQ1FSEiIzY6j1+tx+fJlJCYmIiMjAzqdDm3btkXnzp1tdgxL3bp1C9euXUN6ejoKCgogk8ng6uqKgIAANG7cGE2aNLHqvNFqtbhx4wYSEhKENuVyOTw8PNCiRQuEhoZa9T1JREREREQEAH379oW7uzvy8/ORm5uLI0eOoH///mb3MUw26tOnD9zdq2bwdFpaGi7FXERqWgpkMikkEinkcmf4+vnCxU2OBvX9IJVoje6rUxUAKi30Gin0yuJ4XEFBAW7fuo30tDQUFhZBr9fB0dEJ9TzqwdfXF0HBQXBycqqSx6bT6XA9/joy0tORl5cHuVwOX19ftAgNqXAf9FIH5OXm4/q16yhQFODGtWvw9fODX/1ABDdsaONHYDsnTx4SlXv1Mn8+lujde4AwuB0ATp06hcGDB9uya3XS/RA/jIuLY/zQQkVFRbhw4QJSUlKQlZUFR0dHeHl5oVWrVja97pCSkoLLly8jLS0NSqUSAQEB6Nq1K/z8/MzuFxsbiytXriA7OxtyuRxBQUGIiIiAXC63Sb+uXr2KGzduIC0tDc7OzggMDESXLl3g5la562RZWVmIiopCeno68vPz4e7uDn9/f3To0AFeXl426Xt1UigUiIqKQmpqKnJyciCXy+Hj44O2bdsiKCjIZsdJSUlBdHQ0MjIykJ+fD29vb4wYMYIrpxEREREREdUQtSnWnJycjKtXryIlJQUFBQWQSqWQy+Xw9/dHw4YN0bx5c+tyVXNzERMTg9u3b0OhUECr1Qq/j4ODgxESEmKz+EV5tFotoqKicOfOHWRmZsLNzQ1BQUHo3LlzpfqQkZGBc+fOIT09HTqdDgEBAcxVJZH7IdbMXFX7unbtGuLj45GWlgapVIrGjRuja9eucHFxMbmPRqNBVFQUrl+/DoVCgXr16qFFixYIDw+HVHp/TXhdFzDSS0RERERUxzg7OWFg3174e8cuAMD23fvNDm4vKCzEgSPHhfLwwZYlDhr6dPEPuBp3HQDQObwdln29yGz9PQeO4NdNfyImNs5sPbncGZ3D2+PZxx9FROcOJuvFXIvHz6vX4cSZ89BqjSezAoBMKkWrliEY+dBAjHl4mNE6y9esx4pfNwjlk3v+MdneqOcmICklFQAwYsgAfDh9KnQ6Hdb93xZs/PNfpGVkltnH2ckJT4wagQljn4GLi+WBw4SEBCxevBgnT56EzsiKVG3atMGrr76Kbt264e7duxgzZoxw3wcffICRI0dafCxbi4yMFJXbt29v0X5t27aFTCYTXtPS7ZBx7du3R6NGjXD79m1otVrs2rULTz/9tMn6Z8+eRXJyMoDi2TQHDRqE/Pz8Ch//7t27WLFiBQ4cOICCggKjdby9vfH000/jqaeesiiAnpGRgf379+PgwYO4cOEClEqlybo+Pj54/PHH8dRTT1mUgHj27Fm89tprQnnp0qXo0qULUlNT8e233+LQoUNQq9Vl9mvYsCFef/11PPjgg+Uew57UajWGDBmCwsJCAMD48eMxceJEk/UVCgWGDBki+qxcsGABhgwZYnKfS5cu4bHHHhPKX3/9NR54wPT3SlpaGlasWIHdu3ebPAcCAgLw1FNP4YknnrAoYX/y5Mk4f/48AKBTp05YtmwZtFot1q9fjz/++EM4h0v07du30oPbN2/ejG+++UZ4rgICAvD111+XGZiv0+nw119/YePGjUhISDDbpru7O7p3746xY8eiVatWRuvk5eXh4MGDOHDggDCZibn2HnnkETz33HPw9fU1WW/BggWii4MlVq5ciZUrVxrdZ/jw4fjwww/NPh4iIiIiIqqdnJ2dMWDAAPzzT3Hca8eOHWYTDgsKCnDgwAGhXJFkI2O/68zZs2cPfvvtN8TExJit5+TkhFZhzTB0WF+0bRMqus9Bp4JMr4GjToakW9exbfsuXLkSazS2VkIqlaJRo2D06N4VvXv3MFpn+/bd2LFzj1D+bslnJtubO+9TZGZmAQC6deuCsc8/CZ1Oh337DuHAwaPIyckts4+jowP69u2FYUMHwdnZ8kHud5NS8NffOxBzJQZ6vb7M/c1DQvD4s8+jXXgHpKWm4t0prwj3TZ36AQYNGmHxsWzt8uUoUbl1a8vih2FhbSGVyqDTFf92v3Tpks37VhfV1fjhtm3bsGfPHpw9e5bxQwtcu3YNK1aswIkTJ0w+Xw0aNMDYsWPxyCOPlDuY2NTzFBMTg2XLluH06dNlPn9lMhmGDh2Kt99+u0wi+8GDB7Fs2TLcvHmzzLFcXFzw0ksvYezYseUmKy5fvlwU/zpx4gQAYN++fVixYgWuX79eZh8nJycMGTIEr7/+utUD0U+dOoUVK1bg4sWLRj+LpVIpwsPDMWnSpHLjl48//jgSExMBlB+r0+v1GD58OLKysoRtkydPxosvvmhyn+zsbAwbNkzo53vvvSeKAxsTGRmJFStW4Px509fjmjdvjnHjxmHQoEHlJt1u3boVCxcuFMp//vkngoKCEBUVhR9//BGRkZFlnscBAwagXr16ZtslIiIiIiKiqlGXYs1yuRydO3fGM888g4iICJP1YmJisHz5cpw4ccJ8rqpMhrCwMIwcOVKUy2nIVNzCmFGjRgkxupI4gU6nw7p167Bp0yakpaWV2cfZ2RmPP/44JkyYYHagaGnMVWWuqqXqaqyZuaq2Y+pzbvfu3VizZg3i4sqOI3B1dRXiv4bxRY1Gg99//x3r1q1DdnZ2mf0CAwPxzjvvoG/fvib7k5ycjBdeeAG5ucXX5+rVq4c1a9ZYNGHnH3/8gS+++EIo9+zZE19//XWdnXigqnA6AiIiIiKiOmjYkHsBwmOnzhpNkiyx9+BRFBUV//j28fZCj66d7NYvjVaLuZ9+jdkLPy93YDsAFBUpcezUGew9dNRknc1/b8e4197F0ZNnzAYLAUCr0+FyTCw2/Gl6wHpl5OXn47X35uD75WuMDmwHAKVKhd82bcHr0+cgX2E8mFLawYMHMXbsWBw/ftxk8m10dDSmTp2K3377zep+L1iwAD169BD+bd261eo2zDFMPnN2dkaTJk0s2s/V1RUNDVaUSkhIMJoMRmUNG3Zv8gZjA1oNGd7fq1cveHh4VPi4GzZswFNPPYXt27ebDBYCxavWLFu2DC+++KKQnGfOZ599hi+//BKnT582GywEgMzMTPz8888YN26c0cRHS5w+fRpjx47F3r17jQYLASAxMRHvv/8+1q5da1Gb9nqfOTo6okOHe5N/nDp1ymz9s2fPlvmsLG+fY8eOCbcdHBzQqZPp74lDhw7hySefxN9//232HEhNTcV3332HsWPH4u7du2aPb0xeXh6mTJmCpUuXlhnYXll6vR7fffcdvvzyS+G5Cg0NxYoVK8oMbC8sLMSbb76Jzz//vNyB7QCQn5+PvXv3mn3OV6xYgYULF+LIkSNmB7aXtLd+/XqMHTsWUVFRZusSEREREREZMkwaPHbsGHJyckzW3bdvH4qKigAUJ+p0797dbv3SaDSYN28ePvjgg3KTDQFApVLhwsWruHghFn6+PqJ/Pt5e8PbyxsWLV/DFl9/h8uUYswPbgeIJzBISbuPQ4ePw8fYx+q90EqCpej7ePqJBl85OTnB2kuPHn1bj7392mIzZqtUa7N17ED/+9Avkchez7Zf8ux6fgC++WIIr0VdMxs+ux8Xhi4ULsO3vLUbvN+ebbz7CyJE9hX979myzug1zbt++Kdx2dnZGw4aWxQ9dXFwRFBQslO/cucP4oYXqWvzw008/xYIFC3Ds2DHGD8uh1+vx/fff48UXX8TBgwfNPl9JSUn4/PPPMXnyZNGgaUvt3r0bEyZMMJkIrdVqsW3bNrz66quiONiSJUswY8YMk69PYWEhli1bJhoUbY3Fixdj1qxZRge2A8XfLVu3bsUzzzyDa9euWdSmRqPBwoUL8eabb+LChQsmP4t0Oh0iIyMxZcoUfPbZZ2avaxkm0p8+fdrs8ePi4sq8RuXFfU+fPi3qp7nEfZVKhfnz5+PVV1/FmTPmr8ddv34dc+bMwYwZM4S/H6zx66+/YsqUKTh//jw/04mIiIiIiGqBuhJrLioqwrFjx7Bv3z6TdTZv3oyXX34ZR48eLT9XVatFdHQ0Nm7caHXfLZGXl4fXX38dS5cuNTqwHQCUSiXWrVuHN954o9wcpBLMVS3GXFXL1bVYM3NV7e+rr77CnDlzjA5sB4onQvnhhx9E8V+FQoE33ngDS5cuNTqwHSgeuD5jxgxhwhVjAgMD8eGHHwoD0vPy8vDBBx+YfO5LXL16Fd9++61QDggIwLx58ziw3Qa4cjsRERERUR3UqX1bBDcIxJ2kZGg0GuzafwhPjDI+G+L23fuF20MH9oNMJrNbv1b9thE79xwQbWvVMgRhIc3h4+UFqUyKgoJC3E1OQWz8dSQlp5pt70zkBXzx3Y+ibUGB9RHerjUC/Hzh7OSEgsIiZGRmIu5GAq7fvFVuAmtFabVazProc5yLuggAaBjcAF3C28PHxwtKlQqXr8Qi6lK0UP/Slav49seVmP3uG2bbPX36NGbPng2NRiNsc3V1RZ8+fdCkSRMUFBTg5s2bQiDl+++/h7Ozs10eY0VoNBrRwNX69etb9WO+fv36woBRpVKJpKQki2bIq4ivv/4aFy9eRHJyMgoKCuDh4QFvb2+0a9cOERER6NOnT7mr09QUw4YNw/Lly6HX6xEbG4v4+Pgyg3KB4iTAys6GW+K7777DunXrRNuaNGmC9u3bCytKJyUl4fTp00KSXUJCAl555RWsWbMGfn5+Fh3Hz88PLVq0QMOGDeHu7g4HBwfk5+fj5s2biIyMFAKKt27dwtSpU7F27VqrgqDXr1/HsmXLUFBQAJlMhvDwcISFhcHV1RXp6ek4efIkUlJShPrLli1D+/btzQ74treIiAhhRsvo6GgoFAqTM4EaS4IsLzHy+PHjwu127dqZnMl33759mDNnjujijZubG3r06IGGDRtCrVYjLi5ONMA+ISEBEyZMwIoVK6x6b8+bN08YzO3v74+IiAj4+/tDqVQiISGhwu9VpVKJ+fPniy5U9ejRAx9//LHR5/SLL77AmTNnhLJMJkPbtm0REhICLy8vSCQS5OXlITExEdeuXTN5MckUT09PhISEoHHjxqhXrx6cnJygUChw+/Zt0arumZmZePfdd7F27Vqjz6NMJhO+3w1fH4lEYnJ1K3v+PUBERERERNWvY8eOCA4Oxp07d4rjh7t24YknnjBa1zDZ6KGHHrLr74VffvkFO3fuFG1r1rwZGjdrhMDA+kL8MCUpBXGx8UhPSzfb3tWr8dj4f3+Jtvn7+6FlyxD4eHvD0dEBSqUS2dk5uH37Dm4n2m9wtE6nw5Lvf8KVK1cBAPXrB6B16zB4eXpApVIjPv46rhpMCBoXdx3r1m3CxAmmV90FgEuXr2DJ9z+Jfu85OTkhJCwMrdu0g1anRcKNG7h0IQpqlQobf10LJ6eaFT9MSbkXP/Tzsy5+6O8fiMTEWwCKB18yfmgZY/HDFi1alKnH+GFZtTF+WEKv1+ODDz7A3r17RdtbtmyJNm3awNvbGxqNBomJiTh9+rSwatLFixcxZcoUrFq1yuJVvqKiorBy5UpotVrI5XJERESgSZMmkMlkuHHjBo4fPy4kDMbFxeGrr77Chx9+iFWrVmH9+vUAildV6tatGxo0aAC1Wo1Lly6JJnjcvn07OnfubNVqYJs3b8aGDRsAFK/I1r17dzRu3Bg6nQ7x8fE4c+aMcD0mKysLb7zxBlasWCFKbi5Nr9dj9uzZOHjwoGh748aN0aVLF3h7eyMrKwtnzpzB7du3hfu3bNmCvLw8k4P0IyIisGVL8YQkaWlpuHHjBpo1a2a0rrEY78WLF1FUVGRyRSrDferXr4/GjRsbradUKvHWW2+JViyTSqVo27YtWrZsCU9PTyiVSty8eRNnzpwR3mOHDh3Cu+++iyVLllj8t8PevXuxdOlSAMUJ6J07d0bTpk3h5OSEtLQ0UayaiIiIiIiIaobaFGtu1aoVwsLC4O3tDZlMBoVCgaSkJMTGxiIpKclse2fPnsWXX34p2hYUFITw8HAEBATAyckJhYWFSE9PR3x8PK5fv27XXNXZs2fj3LlzAIpXde7cuTN8fX2hVCpx+fJlUQzl0qVLWLx4MWbPnm22XVO5qt27d0ejRo2g1WqRkJDAXFUbYKyZsWagdseaK2rt2rX4v//7PwDF8d8ePXqgfv36UKvVuHjxIi5cuCDU3bZtGzp16oThw4dj1qxZOH/+PIDi17pz587w9vZGbm4uTp48KcRd9Xo9vvzyS3To0MHk5Ba9e/fGs88+K5xD0dHR+O677/DOO+8Yra9QKDB79myoVCoAxXmVCxcuhKenp22elPtc7fikIyIiIiIiqw0b9CBW/FqcoLN9936jg9uTUlJx/sKle/sMHmC3/hQplVhvkEjaMLgBPpkzAy1Dmpvc51biXezad9Dk/at+uzerpVzujA/fewsD+/U2WT8rOwcHj57AqbORVvXdEnsPHYVarYGnRz3Meud1PNi7Z5k6p85G4v35n0Lxv1kC/925By8+8zgaBjUw2qZCocDHH38sChYOHjwY7733nvCjOzs7G3q9HhkZGVi0aBGOHj2K7777zuaPr6IyMjJEibUBAQFW7V+6fmpqqt0Chps2bRKV09LSkJaWhtjYWPz5559o0KABXn31VTz00EN2Ob4tNWjQAB07dhSCOdu3b8ebb75Zpt7+/fuFWSu9vb3Rs2fZ89YS//33nyhYGBoaimnTpolWFC+hUqmwfv16LF++HFqtFhkZGZg7d66QsGbq8UyaNAn9+/c3mbwHFL9n1q5di7Vr10Kv1yM5ORnLli3DjBkzLH4sS5YsgVqtRteuXTFz5kwEBweL7ler1Vi6dKmQAKnX6/HTTz/hxx9/NNZclejWrZtwW6vV4uzZs+jbt6/RuoYJizKZDFqtFikpKbh165bR5EWVSiVcCAFMr96TnJyMRYsWid7vjz76KN58880yg8Jv3bqF+fPn4/LlywCKB2bPnTsXP/74o0UXrS5cuACtVgsnJydMnToVo0aNKjNAu7yZNI3Jzs7Ge++9h4sXL4oew3vvvWf0YkFSUpLoolubNm3w0UcflTlnDF27dg07duyAu7u7yTo+Pj54/vnnMWjQIISFhZm8yKJSqbB582YsW7YMarUa+fn5+Pzzz7F48eIydWfPni1coOrRo4ew/eWXX8bEiRNN9oWIiIiIiOq2oUOHYuXKlQCAHTt2GE04TEpKEuILQOWSjcpTVFQkDGgEihPypk2bhoBgP6h0RfDzFycbZaT/P3v3HSdldTYM+J7tsPSugAWkiogotljBrrHHV000JpbEFDW22EuiJpbYkjcxdpN8RpM3plli7CaW2BAQBBSxA9Lr9p3vD8Kws43ZMuwC1+Vvf+555pzznJl5Zpa559znLIjPP5od/3nptSjuWH+y5WOPr128rLCgIL51xjdil112anAMy5YtjzfenBjv1FiksrX857U3o7KyMjp16hSnnXpSjNtpbJ0677wzLW69/Y4oKSmJiIgXXnwpDv/ywdG3b/0xtZKS0rjzrvvTPo8PGzkiDjvqmOjStVtsv/3qCU7Lli+PJYsXxT2/+t+Y9Nab8dBv7m/1+9dcixenxw979Wpa/LBnz95pZfHDzNQXP/z+9+suxLohxQ/PPvvsOOCAA6JXr14NLlKxqcYP17j//vvTEtvHjh0b5513Xr2TTVeuXBm//vWvU9f97Nmz42c/+1lcdtllGZ3r3nvvjaqqqth3333jggsuiB49eqTdPnv27Dj77LPjiy9WL3L8xBNPxC677BJ33313JBKJOPXUU+Pkk0+OgoKCtHbPPfdcXHHFFan431133RWHHHJIgws41nb77bdHRMTee+8dF198cXTr1i3t9s8//zyuuuqq1CTKJUuWxLXXXhu//OUvG4zT/eEPf0hLbO/UqVP88Ic/jP33379O3SeffDKuv/761Ovq6aefjrFjx8bRRx9dp+5OO+0UOTk5qYnwr732WkbJ7WvivuXl5TFp0qQGd8GruWhnY7u2/+xnP0tLbB8/fnx873vfq/e9dtGiRXHzzTfH008/HRGrJ/7ff//9ceqppzbYf01rXifjx4+P8847LzUZeY3KysqMn2sAAADWnw0h1nzdddfF0KFDG2zz8ccfxz//+c8Gb7/33ntTvxcVFcXll18eEyZMaLD+4sWL44UXXljnpiPN8eyzz0ZFRUV07do1Lr744thnn33q1Hnttdfi4osvTm2c8eijj8bXv/71Bhfwa2iu6vnnn18ngdNc1ZYTa27fsWZzVbPnzjvvjEQiEaeddlqcdNJJ64z/3n333bFkyZL4z3/+E506dYpLLrkkxo9Pz3WoqqqKO+64I377299GxOrn/d57742rr766wXGceeaZacn0f/jDH2LMmDF1+o6IuO666+LTTz9Nazt69OjmPQDUIdoLAAAbqUP2H5+aaDNtxnsx+6NP6tR5/KlnU5O8hgzeOoYObviDeEu9M216lJSWpsqXn392o4ntERFbDNg8Tjv5hDjt5BPq3FZZWRlvT56aKn/9+GMbTWyPiOjerWsceeiBcd0VmQcPMlVRURkdO3SIO27+Sb2J7RERO+84Js7//rdS5WQyGU889VyDff7pT3+KuXPnpsrjx4+PH/3oR/Wu9tazZ8+4/vrrY6eddkqtDtcerAlGrdGxY8cmta9df83E3rYwZ86cuPLKK+OnP/1p1lZVbU2HHnpo6vcnn3wyLXC7Rs3E3AMOOKBZq32uSahdY/vtt4+77rqr3mBhxOqdw0455ZS44IILUsfefPPNtIl0tf3gBz+Ib37zm40GCyNW7xJ+5plnxne/+93UsSeeeCKWLVuW6d2JioqK2GWXXeLWW2+tN0k5Pz8/zjnnnNhpp7UT4d9+++20VV/Xt2222Sa6d++eKr/22mv11ps/f358+OGHEbH6tVUzAb6hNpMmTYrSGu/dDU1yvPPOO1M7OUVEHHvssXHxxRfXu9v5FltsEbfffnsMGTIkdWzKlCmNfkFU05pr+dprr42jjz663smM+fn5GfW1xscffxynnXZaKrE9kUjEt771rbj44osbfF3UvGZzcnLi2muvbTSxPWJ1MP2ss86qd7LqGl//+tfje9/7XgwfPrzR1YMLCgrixBNPjKuuuip17D//+U/qOQYAAFiXQw45ZG38cNq0mD17dp06TzzxxNr44ZAhaZ/lWts777yTFvu57LLLYtCgxuOHffv1jqOO3D9OPOHwOrdVVlbFe+9/mCp/+csHN5rYHhHRpUvnGL/vXnHW97/dtMFnoLKyMoqKCuPyS8+vN7E9ImLUqJHx9Rqx0GQyGf9+6dUG+3zq6edi4cJFqfL2Y7aPg484IjrUE4Pr1r17nH3hRTFyu9HNWhQuW0pL0+N9HTo0LX7YoUN67EH8MHMbU/zw3HPPje985zuxzTbbNDqWTTV+GBHxySefxN13350qT5gwIX7+85/Xm9gesfqxOvfcc+PrX/966tjjjz8eH3/8cUbnq6ysjH322SeuvfbaOontERFbb7112m5hyWQyrr766qiuro5zzjknTjvttDoTGyMi9t133zjxxBNT5Xnz5qVNjF+X8vLy+NKXvhTXXXddncT2iNU7rt16661pk90nTpyYtqtUTWsWAVgjLy8vbr755noT2yNW70p34403pi3y+ctf/rLOdykREV26dIlhw4alyg3FcCsrK9N2YzvooIPW2ebTTz9NuyYbivu++eab8be//S1VPuGEE+K6665rcGJ3jx494pprrokDDjggdez//b//F8uXL6+3fm1VVVUxYcKEuOaaa+oktkesfnwltwMAALQ/G0KsubHE9ojV85lOO+20OO200+rcVllZmbbw28knn9xoYnvE6uTdI488Mq699tqmDT4DFRUV0bFjx/jVr35Vb2J7xOrNUs4///xUOZlMxhNPPNFgn//3f/9nrqq5qs22McWazVXNrsrKyjjnnHPi1FNPzSj+O3fu3PjlL38ZeXl5cdttt9WbfJ6bmxvf/e53Y7vttksde/7559PmvdaWl5cX11xzTVqM+LrrrovPPvssrd4f//jHtAVjv/SlL8VXv/rVjO4rmRHtBQCAjVT/zfvF6G1HpMqPP/VsnTqP10isPmT/fbM6noWLl6SVRwxrfJLZuixZuiyqagRtRgxtWX+t4YyvnxiDtqq783FNB47fK3r2WJuEOmXajHrrJZPJ+Mtf/pIqd+zYMc4///xGEx3z8vLikksuaVbQJ1tqB/jqC0Y0pnb91g4Y5ufnx5577hk//OEP47777ot//vOf8e9//zueeuqpeOCBB+L73/9+bLbZZmlt/vKXv6R2d2nP9t133ygqKoqIiAULFtRZBXbevHlpO3IffPDBzTrPI488klrhtbCwMK666qrUeRtz5JFHxqhRo9L6aS3HH398dOnSJSJWr8TbWDCytoKCgrj88svX+To64YT0RTfeeeedpg+0lSQSibQAZkMr/tY8Pnbs2LTVTxtqU3PyY8eOHWPkyJF16ixatCi1E09ERL9+/eJ73/teo2MuLi6OSy+9NO097eGHH260TU0HHHBA7LnnnhnXb8ykSZPi9NNPT62umZ+fH1dddVV84xvfaLTdokVrkwe6detW571ifZkwYUIq2SOZTMZLL73UJuMAAAA2PP3790/bWaC+iW01Jxs1N3aQqZqfsyIiRowY0UDNzKxYsTJt0tegQVu1qL/WcOzRR8SAAY0vjPal3XeJbjUmDL73/qx66yWTyXj2uRdT5aLCwjjmuGPXGT889dvfidx2FT9Mn3CYny9+uL6IH2468cOIiAcffDA1qbRHjx5xySWXpCVYN+S0006Lfv36RUREdXV1/PWvf83ofEVFRXHRRRc1moi8yy67pL1+qqurY9ttt43/+Z//abTvI444Iq3clMe2qKgofvjDHzZ63zt27BgXX3xx2rGGrr9HH300beL0CSecsM5de3bcccc45phjUuUVK1bEY489Vm/dmknnEydOTNs9bY0pU6akxjB48OC05PZMYsURkRZfrmnNbkdr+q45Wbcx5557bnTo0CEiVk8sf/LJJzNq17Fjx7jwwgslsAMAAGxgNvZY85IlS9KSdVvaX2s4/fTT17k47AEHHJC2eFxDMRRzVeuvL9acObHmTSvW3BIjR45cZ/z3yCOPTCtXV1fH8ccfH9tuu22j7WrGjcvKyuK9995rtH6fPn3iiiuuSL3XrVixIi655JLUoh3Tp09Pe/317ds3rT6tQyQYAAA2YocesHaFsn8880LaZM7JU9+NTz+bExERuTk5ceCEvbM6lo7/ncSyxsz3P2hRf7UDEjNa2F9L5efnxRGHHrDOerm5uWmLDnz48Sf11vvwww/TVtfbd999693dpLbNN988LWE1E1dccUW8+uqrqZ/DDjusSe0bU3tlzqbuplw7YFhWVtbiMa2x9957x1//+te48cYb46ijjooRI0ZEly5dIi8vLzp37hzDhg2Lr371q/HHP/4xvvKVr6S1feihh+I///lPq40lG4qLi2Pvvde+rmt+QRCx+kuENe8JgwcPjuHDhzfrPDX73XPPPZuU4FtzBdu33nortTpvS+Xl5cUWW6xdaGLq1KkZt91nn32iV69e66w3ZsyYtCDVunbLzubrLCJ98uFHH30UX3zxRZ06NQOn48aNS5sY+dZbb9W7YmrthPj6Aqmvvvpq2mv9mGOOyShoPHz48Nhxxx1T5enTp9c77vo0tvN5UzzzzDNx1llnxdKlSyNi9W5It912Wxx44IHrbNuhxt+1xYsXZzz2bKi5w9a0adPabBwAAMCG55BDDkn9/o9//CM9fjh5cmohsNzc3Iw+K7VEh9rxw5kzW9RfYWF6XOnDDzPbbThb8vLyYt99171QW05OTgwZuvZz3uefz6233mefz4n58xekytuPGRWdO3deZ/+9+/aN0WN2yGDEa/3gB5fHo4++kvrZb79D190oQ7Xjh02dDFk73ih+mDnxw00nflhVVZWWXHzooYdGcXFxRm3z8/Njr732SpXffPPNjNrtu+++9e6MXlvtCYlHHXXUOttsvvnmad+X1LcbXEPGjx8fffr0WWe9ESNGpE3Kf+ONN2LFihV16r344tpFRnJzc+O4447LaBwnnnhiWgJ3zX5qqhn3XbVqVb3Xau247+jRo6OwsDAiIt57771YsmRJnTY1476DBw+ud5f0hQsXxquvvpoqH3PMMRm/R3fr1i1t7JleNxMmTKh3RzgAAADav4051tza/bVUfn5+ncX/6pObm5sW32goPjVr1ixzVcNc1ZYQa950Ys0tlUn8d7PNNqvzHpTJfNGaCxhEZBY33n333ePkk09OlWfMmBG33XZbLF++PC655JKoqKiIiLU7vYtdtj7J7QAAsBGbsPceUfjfgMsX8xfEm29PSd322D/X7uS+y05jo2f37nXat6YRQ7dJ+3B91U9vjmnTG18VrTGdijvGVlsMSJXv/d3D8dRz/0oLiq5Pw4dsUyeBvyGb9Vs7cWr5ipX11qkd4Nhll10yHktT6mZb7YDfmg/6maodcFwzIas1DB06NKMgbF5eXpx33nl1giq//vWvW20s2VLzS4MXXnghbfJdzRVym7sS5uLFi9MCZWPGjGlS+4EDB6Z+X7JkScyfP7/R+lVVVfGf//wnfvazn8WZZ54ZRxxxROy3337xpS99qc5PzdUp19VvTWPHjs2oXnFxcWrFzYiIZcuWZXyObNh5553TyjV3XF+j5oTFnXfeOTbbbLMYMGD1++jy5ctj+vTpafWXLVsWM2bMSJVrJsPXNGXKlLRyzcmu67LPPvs02ld9CgoK6gQim+N3v/tdXHbZZakvIjbbbLP49a9/nfE1UHMX+2QyGRdddFF89NFHLR5XTZMnT46f//zn8f3vfz+OOuqoOOCAA2KPPfaoc70//fTTqTZtmWQPAABsePbbb79UvOWLL75ISz6rOUlol112qTfxrTWNGDEiLX549dVXr3NXhcZ06FAU/fr1TpX//JdH45VXX2+z+OHWW22Z0WJwERG9a0xmWrMLSW2zZqVPyhk+fGjGY9lu+zEZ18222vHD+nYlbkzteKP4YdPUjB+++OKLadfbhho/fPXVV8UPa5kxY0ba7uIteR7ee++9jCZ+br/99hn1XTvRfF27ntfXbvny5Rm1iYjYY489Mq67555rFyRJJpN1FpWsqqqKd999N1UeMWJE9O7dOzLRr1+/tEm8U6dOrffv0/bbb5/2vlZf3LfmsZ133jkKCwtTj2MymayzW1R1dXXa3/uG4r5vv/12Wrml100mMn19AQAA0P6091hzSzaLKC4uji233DJVvvfee+Opp55qu7mqw4dHx44dM6pbM/m3oRjKpEmT0srmqq4m1tw0G2Os2VzV1tecuHHv3r1j8803b1KbiMzjxmeccUbssMPaRaH/9Kc/xbe//e20RT/OPPPM2G677TLqj6Zp2pLXAADABqVTccfY60u7xFPP/SsiIh5/6tkYN3b7KCsvj2de+HeqXs0d3rOlV88esf8+e8Y/n1u9+8Snn8+Nb3zvvBgyeOv40i47xQ7bbRujRgyLTp0y2y0kIuL4ow+Pn976y4iIKCsvj8uuvTFuv/O+2HPXcTF2++1i9KgR0adXdgOha/Tute7A0xodakxiXVVSUm+dzz77LK1cc1fedWlK3WyrvWpp7QDgutSuX7u/9el73/tePPfcc6ldTqZNmxafffZZ9O/fv83GtC7jxo2L3r17x/z586O0tDSefPLJOOaYY2LKlCmpJNyWrIZbexXam2++OW655ZaM29eeBLl06dIGd83597//HTfffHNawChTTQnmZTr5MGL19bhmx++SBl7L68uaRPU1qxy//vrraStuzp49OxU47d27d2y99dYRsfoaqdmm5k5Jb7zxRtqXMLUT6Nf4+OO1O9916NAhLRC8LrVXYc0kObx///5N3sWtpurq6rjhhhvikUceSR0bMWJE3HTTTU368mzUqFGx3XbbpRLyp02bFscff3yMGjUqdttttxgzZkyMHDky48SFmiZPnhw33HBDvP/++01uuyEHrwEAgPWvuLg49tprr3jqqaciYvUEo3HjxkVZWVk888wzqXo1JyVlS69evWL//fePf/7znxER8emnn8Z5550XW265RWw3dlSM23VcDB8xNIqbED+cMH6P+H8P/jkiVk9k+8X/3hkP/r57jN1h+xgxYmgMHbJN9OiR3UU/1+jevVvGdWvuOl9aWv/uMF98kT5BavPN+mXc/4AaEzHbWocO6ZMwKyrED9en2vHD5557Lg477LB45513Nrj44XPPPRfXXHNNKtbVFBt7/LD283DhhRc2qX3N56GqqipWrlwZnTp1arRNJrujR9R9zTanXVMe22222SbjukOHpi8aMnv27LQY6fz589MWDahdf12GDRuWmli/atWqmD9/fvTt2zetTmFhYWy33XapBPXXX389zjjjjNTtK1euTPWRn5+fmoQ5bty41GKnr7/+euy3336pNjNnzkxdl2vq1qf2dXPSSSc16f7VjC3XPF9jtmxHf58AAABomvYea/7mN78ZQ4YMid133z122GGHGDVq1DrjGzWdcMIJ8dOf/jQiVu/offnll8fPf/7z2GOPPWLs2LExevTojOMaLdXU+NQaNeMYNX3yySdpZXNV6+9vfRJrrstc1fYRa26p5sR/M32car9mM32ccnNz40c/+lGcfPLJsXjx4oiImDVrVur2PffcM7761a9m1BdNZ+d2AADYyB2y/9rE9ef+9UqUlJTGiy/9J7VjeKfi4thz9/oTFlvbD88+M0Zvm57I+N6s2XH/g3+Msy++KvY/+qtx0rfOjtvuuCemTJveQC9rHXXYQfGVIw5NO/bF/AXxp78/EZdec0N8+fhvxJFfOy1+dONt8cJLrzZ5Jcam6NCE5MXEuqvUWTGu5qp769K1a9eM62Zb7RVCGwqQNqR2/bYMGBYXF8eECRPSjtXcCbs9ysnJSQsG/uUvf4mI9NVw1wQVm2NN8HSN6urqqKqqyvin9uq1NXeWr+nhhx+O888/v1nBwoimBaqbk4gcUTf42RZqTkKsvRtPzWu1Zr2av9e+nmuWe/fuHYMGDar3vDXfr7p37x45OZmHm2qvSJtJcLcpXyzVZ9KkSWmJ7TvvvHP86le/ataq0Ndcc03ahMtkMhlTpkyJO++8M77zne/EhAkT4rTTTotf//rXGSeqP/vss3HmmWc2K7E9oulfzAAAANTcJeO5556LkpKSePHFF1Of9zp16pS2e202XXjhhXV2Pvjoo4/j0T8/Hlf+8Oo44ciT4qwzfhB3/+reeH/mrAZ6WWuvPXeOvffaPe3YokWL4+lnno+f/+LO+P7ZF8Y5P7gofn3nffHGm283edfwpqiZsL4uNXcVasjKlelxs+LizHbqiYjo1LlzxnWzragoPd63alX9O9U3pKQkvb74YdPUjh8+9thjaf+P2DDihw899FB8+9vfblZie8TGHz+s/Tw05TloyvNQU3N3tmrO49uUx7YpMcDascva39vULjc1vphpbLRmQv3UqVPTdr166623oqqqKiJWL8a55j2wZpva70M1d3rPy8tL25WoppZeNzWfl0yumYiWx34BAABoW+091vzee+/FAw88EOecc04ccMABcfLJJ8dtt92WtutyQ4488sg49thj04598cUX8cgjj8Rll10Whx9+eBx11FHx4x//OF588cWszlVtbnyqIbVjEuaqribW3DQbS6zZXNXsas59zjTWXPu7taY8Tr17946rrrqqztzXfv36xeWXX55xPzSdndsBAGAjt8uOY6Jnj+6xcNHiKCktjef+9XL88/l/pW6fsPeXorAg84mVLdGpU3H86uafxF8fezIeeuTv8fGn6buTV1dXx8xZs2PmrNnx4P/9NYYP3SbO/tY3Y+z2oxrs8/zvfyv22HVc3P/7P8bbU6bV+TA6Z+4X8djcZ+KxJ5+J3j17xGknnxBHHtq8lf/Wp9oBjvz8/IzbNqVutvXs2TNyc3NTk6u++OKLJrWfN29eWnl9rW7akFGjRsWf/vSnVHnu3LltOJrMHHroofG73/0uIlYHOGfPnh1PP/106vaaXyo0Ve3Jey1VO4AYEfHOO+/ErbfemnZs3Lhxsffee8fw4cOjX79+UVxcHIWFhWmBpTPPPDMmTpwYERt2MK8pxo0bF3/+8+rd6BYuXBjvv/9+aieihpLbd9ppp8jJyYnq6uqYMmVKlJaWpgKINdvstttuDZ63ZmC/qUH95nyp0JJd2yNWBzvLytbuevfBBx/EnDlzUrvZN0Xfvn3jgQceiIcffjj+9Kc/1XmPq6qqinfeeSfeeeeduO+++2KnnXaKs88+O4YMGVJvf3PmzImrr7469Z4ZEbHtttvGfvvtFyNHjox+/fpF586do7CwMHJzc1N1fvSjH6UWrdhUrncAAKD17LLLLtGzZ89YuHBhlJSUxHPPPZfaXSciYsKECc1OUmyqTp06xa9+9av461//Gg8//HB8/PHHabdXV1fHB+/Pjg/enx1/+ePfYsutB8aJ/3NI7PGlHg30GHHcsUfErruMi7/+7YmYMfO9Op+b5i9YGPP/9XK8+K+Xo3v3bnH0UV+O8fvulZX715oqaiXi1/ycuC75ee0nfti9e3r8cOHC+etokW7BgvTP4uKHTVczfvj222/Hxx9/nLablvjhhm99PA8biqZMnqxdt/ZOPzWTzJvad0TmsdGa8dyqqqp46623Urt01UxUr1lv6NCh0bVr11i6dGl8/vnnaTt71Yz7brvttnXGsUamCemZyPQ11tLYLwAA2bNo8ZIN+rNAfRYtXhzJwkTklaXHSRYsXBSVuQWRW1jWQMumycnJiV69erVKX9DebWix5pkzZ8bMmTPj97//fQwfPjzOOuusGDt2bIN9nn/++bHHHnvEAw88EG+//Xbduapz5sRjjz0Wjz32WPTu3TtOPfXUOPLII7Nx91qVuaqrmavacmLNG3+seWOWl5dXJ0F+u+22a9KCHzSdiDAAAGzkcnNz48AJe8eDf/xLREQ89Mjf4v0PPkzdfugB4+tvmCV5ublxzOGHxDGHHxLvfTA73nx7SkyZOj0mTX035i9YmFZ3+sz347sXXBYX/+C7cfjB+zfY567jxsau48bGvC/mx+sTJ8ekd6bFlGnT48OPP00LFMxfuCh+csv/xuRp0+OKC87O2n1sDbV3p1i1alV069Yto7a1J1S1pby8vOjfv38qODxv3rxIJpMZ7T4VkR5gLCoqis022ywr48xU7Z1Uli5d2kYjydzWW28dw4cPj+nTp0cymYwLLrggtdpqcXFx7L333s3uu/Zkvdtvvz1tR5jWcM8996Rexzk5OXHNNdfE+PHrft+qPdFwU7DjjjumEtUjVk9S3GabbaKqqioVPI1In+TYpUuXGDZsWLz77rtRXl4ekyZNil122SXmzJmTttNVY8ntNSc/NvVxrz1hs6GJlK1p5MiRsfvuu8f//u//RkTEggUL4swzz4zbbrsthg0b1uT+ioqK4utf/3qcdNJJMW3atHjrrbfinXfeicmTJ9dZMfaNN96I0047LX7605/W+5j+9re/TUu8P+uss+LEE09c5xg2xesdAABoPbm5uXHggQfGgw8+GBGrd0CeNWvtruiHHHLIeh1PXl5eHHPMMXHMMcfEf/7zn3hj4usxY8b0mPXe7FhYK3740exP4qfX3xlnfb8sDth/jwb7HD16VIwePSoWLlwU70x9N2bOfD/ee39WfP753LT44eLFS+Kee38b7703K751xjeydh9bQ8daC8yVlpVFUYYbspeUNG3HmmzKy8uLfv36x2efrY4fLljQtPjhggVrJxwWFhaKHzZD7fjhVVddJX64kan9PPzxj3+MgQMHttFo2lZpaWkUFxdnXLem2gt71u6ndv11yTQ2OmzYsOjSpUvqdfnaa6/Fl7/85YhIT1Sv+drKycmJHXfcMZ599tlUvf79+0dZWVlMnjw5VW+nnXZqcHw1kw1ycnLihRdeaFcT1gEAWL+qq6ujrKIsKpOV6668gVhVviqSEZGbnx9FZWs3hllZvjKqcssjJxFpx5sjLyc/ivLbbudfWN/ac6z5vffei7feeismT54ckydPjvnz0xfZnD59enzve9+Liy++OPW5uz677rpr7LrrrjFv3rx4/fXXY9KkSfHOO+/Ehx9+mD5Xdf78+OlPfxpTpkxp97v+du6cHlg2V9Vc1eYSa2ZDtWjRorjyyivTNiWKiHjqqadi9913b9HCDDROcjsAAGwCDt1/fCq5fcb7H6SOD9i8X2w/amQbjSpiyKCtY8igreP4ow+PiIiPP/08/v3qa/HXx/8ZH368Oqmyuro6rr/tV7Hj9ttF/837Ndpf3z6947ADJ8RhB06IiIjFS5bGK6+/FY//89l4feKkVL3Hnnwmxu0wOg7eb98s3bOWqx0cnDt3bmy++eYZtZ0zZ04WRtR8W221VSpgWFZWFh9++GFGOySvXLkyPvnkk1R5iy22yDjQmC21J6cVFLTsS6z15eCDD47p06dHRMSUKVNSx8ePH9/k3WRqqn2dfvbZZ83uqz6lpaXx5ptvpsoHH3xwRsHCiNXBpk1N165dY8iQITFjxoyIWD1h8YQTToh33303tcvOoEGD6qwIPm7cuHj33XcjYvXEyF122SVtx5+IiN13373B89b8gmPx4sVN+lKg9vO0vla5POmkk6Jjx45x0003RTKZjCVLlsR3v/vduPnmm2P06NHN6jMnJydGjRoVo0aNiojVq7C+//778a9//Sv++te/plb3LSsri6uuuir+9Kc/1VnI5N///nfq97Fjx2aU2B6xaV7vAABA6zrkkENSEw5nzpyZOj5gwIDYfvvt22pYsfXWW0fvzXvGhIP3iV69e8Vnn34er73yejz52FPx6X/jh8lkMv73l7+N7bYbFpv1691ofz179oi99/pS7L3XlyIiYtmy5TFp8jvxr3+/ElOnvpuq9+K/Xo5ttx0Re3xp1+zduRbq3Dn9M+XiRUuiW6/MJtvNb+KONdk2cOBWqeT2srKy+PTTj2LgwK3W2W7VqpXx+edrF+fbfPPNxQ+bqWb8cNq0aanjG1r88Mgjj4wJEyZktDvOphRPqe952FST2xctWpRxcnvta6T2RO/a5YUL0xdgaWr/DcVGc3JyYuzYsfH8889HxNqE9vnz58fs2bMjYvWCySNGjEhrN27cuFRy+2uvvRZHHnlkTJo0KW1xzZoLodZW87qprq6Ozz//PLbccsvM7hwAABulymRllFaWRG5uzrorbwAqk+VRlYzIS1ZHeXLt5/mKKIuqZHXkJvOivLppi1jVVFVVHR3yO0aE5HY2Le011jxkyJAYMmRI/M///E9ERHz88cfx73//O/7617/GRx99FBH/nat6/fUxduzY6N+/f6P99e3bNw477LA47LDDImL1nKlXX301HnvssXjjjTdS9R577LHYaaed2nViZPfu3dPK5qqaq9oSG0us2VzVTUd1dXVceeWVsWDBgtSxDh06pBYtuOGGG2L48OEZvZfQdBvHJwsAAKBR2wzaKoYOrvuh6uD91++u7euyxYDN48Rjj4wH7/p52o7ylZWV8dhTzza5v+7dusYh++8bv7jxx3Hped9Lu+2vj/+zxePNpqFDh6aVawZ51mVNkmp7UTsoXTO5ujFTp05N7UAdETFmzJjWHFaz1A6I1Q7stlcHHnhg5OXVXd+upavh1g7W1NwdvDXMmTMnysvLU+XGdg+vaeHChWkrqW5Kak5GnDhxYlRWVqYlqtc3WbHmsTUTI2vu+LP11ltHv34NLy6yxRZbpH4vKSlJfUGQiTWB7DXW5+TIY445Jq644orIzc2NiIgVK1bE2WefnXbfWyKRSMSQIUPim9/8ZvzhD39IWyl26dKlqcmoa5SWlqZdt5le71VVVWlfBgIAADTHNttsUyceFRHtbsJd/wGbx1FfOSL+957bYo+91y7EVllZFc8883KT++vSpXPsucducclF58bpp56cdttzz/2rxePNpq22TE9M/ejjTxqoWdfsWe+39nBaZOTI9IXm3n13cgM1082cmR4/XLPgXFsSP0y3vuOHe+65Z0btNrX4Ybafhw3Je++91+y6tR/H3r17p+223tQY3ZpFSiNW79reu3fDC7TUjOHOnj075s2bFy+/vPbv3tixY1NxzvravPnmm1FdXZ0W++zYsWOj75uuGwAA6pObmxM9enTbKH66de8a3Xt0jR49ukWvXj1SPz16dIsePbtHj549olfvXs3+2VgWAYCm2lBizVtssUWceOKJ8eCDD6bFwCorK+Pxxx9vcn/du3ePgw8+OH7xi1/EJZdcknbb3/72txaPN5tqL5hnrqq5qi2xscSazVXddNx3331pcdNDDz00brjhhsjJWf1vuZKSkrj00kvrLDhB6/AvZgAA2EQcUiuRPZFIxCH77dM2g1mH3NzcOO97Z6Q+GEZEvDdrdov6PPzgA2L40G1q9Pdhi/rLtm233TZtItJTTz2VUbtkMhlPP/10tobVLLUnFK7ZKWRdatfba6+9Wm1MzVVzslhE3UUI2qtu3brVCbZtttlmLQ7C9u/fP22V1pdffjm1Q3hrWL58eVq59k44DXnmmWdabQwbmpoTFktKSmLKlClpgbeaCdZrbL/99lFYWBgRqydsLlq0KG0V0sZ2bY+IOjudv/jiixmP94UXXkgrb7fddhm3bQ0HH3xwXHPNNZGfnx8Rqx+z8847L/71r9ZNYCgsLIyzzz477VjtybHNvd5ffvnl1Cqhmaj5t6XmlzIAAAC1JxcmEol2N+Fwjdzc3PjaN09M2zll9uzMk7vrs88+e8bWW69ddO3jT1rWX7YNHjwo7TPeW29OyqhdMpmM/7z0UraG1Sy77JIe93vppecyavfvf6fHD+uLe6xv4ofp1nf8sGvXrhm129Tih6NHj07F/yJW3/+qqqo2HFHb+fe//51x3ZoxwkQiESNHjky7PTc3N+3Yu+++m7a7T2PmzZuXtvDntttum/adWG21Fy195ZVX4pVXXkmV63v/GzBgQOr1t3Tp0pg5c2ZarHiHHXaod6JxQ+d88sknG6wLAAAANW1osebzzjsvfa5qExbHq8/hhx8ew4cPb7X+sm377bc3V9Vc1VazscSazVXdNLz55ptxzz33pMqDBg2KCy64IMaNGxff+MY3Usc/+OCDuOmmm9piiBs9ye0AALCJOGT/feOcM09N/Vx2/lmx+WYN78Tb1oo7doyuXdYGByoqK1vc54Aa97eisqLF/WVT586dY4899kiVZ8yYUScJtD5/+9vf4vPPP8/m0Jpsiy22iCFDhqTKr732WnyyjsnBy5YtSwt89ujRo81Xw5w8eXK88cYbqXJBQUGMHTu2DUfUNGeccUZcfPHFcfHFF8c555wTF198cdoE8Obaf//9U7+vWLEiHnjggRb3uUbNXW8iVq+OuS4lJSXx0EMPtdoYNjTbb799FBQUpMr/+te/4p133omIiLy8vNhhhx3qtCkoKEglqCeTyXjooYdi8eLFqdvXldy+6667pp3zkUceyWiVyhkzZqQl0Y8cOTL69Omzznatbd99940bb7wxNcG3vLw8Lrroooy/qMlU//7908oVFel/h5pzvVdXVzf5NVdcXJz6vXZQHgAA2LQdcsghcc4556R+Lr300rSJQu1Nhw5F0bnz2s84la0QP+zTZ+2uuZWV7Tvxs7i4Y+yww9oF5z759LOYMmndO56/8MzTMf+LedkcWpP17z8wtt56bfxw4sTX4vPPG48frlixLP71r7WTxrp27dbmO7dvDPHDmu8BG2L8sPZuRvXZFOOHBQUFsffee6fKn376afz1r39twxG1neeeey6jBPTp06fH5Mlr31N32mmn6NSpU516NSdMV1VVxcMPP5zROH7/+9+nLTxZ8/mpzxZbbBH9+q39juvll19OS26vnYhec9xrPP3002m7yzfUZo1+/fqlLUY6ceLEtHMCAABAQza0WHNxcXHaoom15/Q0R815Qq3RXzZ16dIlLcZhrqq5qi21McSazVXd+C1cuDCuuOKKVJy2Q4cOce2110ZRUVFERJx66qlp8dVHH300Hn/88TYZ68ZMcjsAAGwiunbtEiccc0Tq57ADJ6zX88/+6JNYuWpVxvU//PjTWLJ0Waq8ed/0hMeFixbH3HnzM+6voqIi3nl3Rqq8Wd++GbdtKyeccEJa+brrrmt0Fc9JkybFrbfe2uTz/OhHP4pdd9019fPoo482uY91qbmCXXV1ddxwww2RTCYbrH/77benrap48sknN7qDSETEkUcemXY/Gguczpo1q9Hz1zZ37ty47LLL0o4dccQRqSDGhmDo0KFxyimnxCmnnBInnHBCq+1kdeKJJ6YF9n73u981OSl44cKFMWvWrDrHBwwYkJY0/fe//73RnaaTyWTccMMN7S5oHrF+XmcREUVFRWkTDh955JHUFyTbbrttnSDsGjUnMv7hD39I/Z6bm7vOa6V79+6x3377pcpz5syJX/ziF422WbVqVVx77bVpz+dxxx3XaJts2nXXXeO2225LJX5XVVXFlVdeGX//+98bbPPee+9FeXl5xud4++2308qbbbZZWrm4uDj61vjb9OSTT65zkYA777wztXhBpmpOgp02bVqT2gIAABu3rl27xvHHH5/6Oeyww9br+WfPnh0rV67MuP7nn82J5cvX1u/Tp1fa7UuWLI9Fi5Zk3F9lZWW8//4HqXKvXj0zbttWDj5ov7Tyw79/OOZ/8UWD9WdOfzf+3/33Nvk8t9zy4zjssN1SP08//ViT+1iX//mfU1K/V1dXxy9/eWOj8bu77749Vq5cGz88/PCj0nYXqo/4YeOGDBmS9h6wIcYP/+///k/8sAHf/OY303Ygu+2222LixIlN6uPzzz/PaAGB9qykpCSuv/76Rq+TkpKS+MlPfpL2HnD00UfXW/ewww5Lu75///vfpyXF1+ett96KP/7xj6lyp06d4tBDD13n2GtOpPznP/8Zc+fOjYiIPn36xJZbbllvm5px39qvj5r9NeS0005LK1999dUxe/bsdbar6f33309bTBUAAICN34YWa/7www9jyZIlqXLtOT0LFy5MfQ7PREVFRUydOrXB/tqj448/Pq1srqq5qi2xMcSazVXduFVXV8eVV14ZCxcuTB274IILYuutt06Vc3Jy4uqrr44ePXqkjt14441Njo/SOMntAADAevH08/+Kw084NX72v3fFpHemNRqsef+DD+OHV6VPHNpnj93S6nz48adx9EmnxyU/uj5eeOnVKC0ra7C/xUuWxmXX3hhzv1ibDL9vrf7aozFjxsThhx+eKi9dujROO+20uOOOO1JJlaWlpTFz5sy47bbb4rvf/W6UlJSkJba2F/vuu2+MHDkyVX799dfjyiuvjFW1FjwoLy+PW2+9NS2Ystlmm8VRRx3VquP59a9/HV/72tfiz3/+c1pgurbKysp44okn4pRTTokvakwM7t69e1oQtCGPPvpoWpDoRz/6UWsMv13p2rVrXHDBBalyMpmMK664Im655Za0wE9tVVVV8cYbb8R1110XRx99dLz++ut16hQVFaUFNqdOnRrXXnttvQm/CxYsiIsvvjieeOKJiFi9iuKmquaExZqPVWNB4pq31WwzfPjw6NKlyzrPecYZZ6TtXPR///d/cf3119d5jUes3hnq7LPPTtslaPTo0Wkrq7aFMWPGxC9+8YvU/a2uro7rrruuwd2Wfv/738eRRx4Zv/rVr2LGjBn11llj4sSJcc0116TKiUSi3t2Y9tprr9Tvc+fOjYsvvjiWLl1ap96KFSvi+uuvj/vvvz8imna91/wbMW3atLj77rsz2q0KAAAg255++uk44ogj4uabb45JkyY1Gj/88IMP4+c3/TKtzu67p+9aMmfOF3Hp5TfG3ff+Lt54Y2KjC5QtW7Y8fv6/d8bChYtSx8bttEML7s36MXzY0Nhnn7U76qxcuTIeuv+BeO6pf8YXc+dGRXl5lJWVxUezP4gHH7gvfnLVFVFWWhrbDB3WhqOu35e+tG8MGTIiVX777dfjppuujJKS9NhCRUV53HXXbWkJ9r169YkJEw5s1fGIH7ae9Rk/nDRpUlxzzTXih/XYaqut0hKVy8rK4vvf/37cc889aZN3a6uoqIh///vfcdlll8VXvvKVeP/999fHcLOmoKAg/vWvf8Wll15ab9xtzpw58YMf/CAt3rfDDjvEPvvsU29/xcXF8a1vfStVrqysjPPOOy+eeeaZeus/9dRTcf7550dVVVXq2He+852Mrseacd+SkpLU743FfceNG5faFavm66JHjx6xzTbbrPOcu+yyS3z5y19OlZcsWRKnnnpq/PGPf4yyRr6XKykpiaeeeip+8IMfxNe+9rWYPz/zxaoBAACgpZoSa37//ffjoosuSp+rWisO8OGHH8YxxxwTl156abzwwguNblaxePHiuOyyy9KS4RuKK7QnO+ywQ4NzVT/44ANzVVtArLn1mKtKa7n33nvjjTfeSJW//OUvxyGHHFKnXs+ePePqq69OLRxbUlISl1566To3LSJzjS8lAgAA0IpWrFwZf/jz3+MPf/57dOncKYZtMzi2GNg/unTqFDm5ObFkydKY/t6smDbjvbRg4V677xI77zimTn9V1dXxzIsvxTMvvhSFBQWxzaCtYvDWW0a3Ll2isLAgVqxcFbM/+jgmTp4aZTUmr/br0zu+dlzrBqCy5Qc/+EF88sknqR1UysrK4r777ov77ruv3vr9+/ePCy+8ME466aTUsXXtWLQ+JBKJuO666+Ib3/hGaoeOf/7zn/Hqq6/GHnvsEX369ImFCxfGK6+8kpZk2aFDh7jhhhuisLCw1cc0a9asuP766+Omm26KrbbaKrbZZpvo0aNHdOzYMUpLS2POnDkxceLEOjuKdOjQIX72s5+lrca3qTv44IPjk08+iXvvXb3zVzKZjIcffjj+9Kc/xciRI2Po0KHRtWvXqKioiOXLl8eHH34YM2fOzGiF3NNOOy1eeeWV1GS/xx57LF566aXYfffdo1+/flFaWhqzZ8+ON954I7VD+UEHHRTz5s1r8s5DG4tx48bFHXfcUe/xhqx5jmpP6GysTU39+vWLSy65JC6//PLUc/XnP/85/vnPf8Zuu+0W/fv3/+8OeO/HG2+8kTZ5s0ePHnHVVVe1i/eqESNGxK9+9as466yzYuHChZFMJuOWW26JkpKSOOWUU+rUX7RoUTzwwAPxwAMPRI8ePWLYsGHRv3//VIL8woUL45133qmz2utxxx0XW2yxRZ3+TjrppHjsscdSX6a88sorcdRRR8Xuu+8eAwcOjIqKivjkk0/itddeS01g3WGHHaJv377xj3/8I6P7+OUvfzn+/Oc/p1aWvfvuu+Puu++OvLy8yM/PT9U76KCD4oc//GFGfQIAALSWFStWxB/+8If4wx/+EF26dImtt946+vTrHUUdC6NT506xdMnSeH/mrHhvxvtp8cNddxkTO4wZWae/6urqmPj2lJj49pTIz8+PLQYOiIED+0fnzp0iPz8/SkpK4rPP5sS702em4goRET179ojDDm3dZOlsOemr/xPz5s6Ld6evXkSusrIyXnr++Xjp+efjf2++qU79Pn37xilnfCsuO//c1LH28Jk8kUjExRdfF+ee+81YsmR1PO6FF56KN998NXbZZc/o1atPLF68MN5445VYtGht/LCoqEOcddYlaTuqtBbxw9Yjftg+fOMb34hPP/00Hn/88YhY/X5x1113xW9+85vYbrvtYtCgQdG5c+coKyuLZcuWxezZs+O9997bqCbqnXXWWXHTTTfFc889F6+88krsuuuuscUWW0RVVVV88MEH8frrr0dlZWWqfrdu3eLSSy9NJYjX57jjjou33norXnjhhYiIWL58eVx66aVx5513xo477hjdunWLJUuWxJtvvhkfffRRWtv99tuvwV3ha1uTqF57Qn5jMdxu3brFkCFD0hYajchs1/Y1Lrzwwpg7d25q0u+qVaviZz/7Wdxxxx0xZsyYGDhwYBQXF0dpaWksWbIkZs2aFbNmzUr7uwoAAADrW+1Y89ChQ2PLLbeMzp07R25ubixevDimT58e7777bvpc1b32qnchuaqqqnjmmWfimWeeicLCwhg8eHAMHjw4unXrFoWFhbFixYr48MMPY+LEiWkLwvXr1y++9rWvrZf73FL1zVW9//77U5tv1GauaubEmluPWDMt9cYbb6Sun4iIwYMHx3nnnddg/XHjxsU3vvGNuOeeeyIi4oMPPogbb7wxLr/88qyPdVMguR0AAGgTy5aviNcnTorXJ05qtN6eu+0cP77k/HX2V1ZeHlOnz4yp02c2Wm9g/83j1p9cGZ06FTdpvG2lQ4cOcfPNN8eNN96YmnDWkLFjx8aPf/zjWLZsWdrx4uL2cV/79esXt9xyS1x88cUxZ86ciIhYtmxZg/erW7ducfXVV8eQIUOyOq6qqqrUZKt1GTx4cPz4xz+OQYMGZXVMG6IzzjgjBg4cGDfccEMq6baysjImT54ckydPXmf7mkm1NQ0fPjwuuOCCuOGGG1LJuEuWLGnwutlrr73ikksuibPPPruZ92TDN2LEiOjcuXMsX748day4uDhtRdracnJyYscdd4xnn3027Ximye0REePHj4+8vLy44oorUhNeV65cGU8//XSDbbbYYou45ZZbYvPNN8/4PNk2ePDguOOOO+L73/9+ahXlO+64I1atWhXf+c53Gmy3aNGieOWVV9bZ/xFHHBFnnXVWvbf16dMnrrnmmrj44otTX3StWrWqwcdwu+22i+uvvz5uvfXWdZ53jeHDh8f3vve9+MUvfpF6TUWsfr3WnLjb2M5LAAAA68OyZcti0qRJEY2HD2PMmBFxwfmnr7O/ioqKmPXB7Jj1wexG6/Xr1ycuPP/s6NixY1OG22aKigrj/PPOil/fdV+89tqbjdYdse2o+M4PzosVNWIGEREdO7aP+GGfPv3iqqtujp/85JKYN291/HDFiuXxzDP1x4G6dOkWF1xwdQwcuFVEVNVbpzWIH7aObMYPL7zwwrj++uvFD9chkUjEFVdcEYMGDYo77rgjFQsqKyuLN954I22nmoY09DxsKI499tj45JNP4uGHH47S0tJ4/vnnG6zbvXv3uP3222PAgAGN9plIJOLaa6+N6667Lu26++ijj+oks9d05JFHpu00tS49evSIQYMGpb0XJRKJdSaqjxs3rk5ye2O7vdeWn58ft9xyS/ziF7+Ihx9+ODXhf+XKlfHSSy+ts30ikYi8PFMUAQAAaDvLli3LKPaxxx57ZLTbdVlZWUybNi2mTZvWaL2BAwfGLbfcEp06dWrSeNuKuarmqm4ozFWluRYuXBhXXnll6vnt0KFDXHvttVFUVNRou1NPPTUmTZqU+jvy2GOPxdixY+PQQw/N+pg3diLHAABERERVVXXMr7ECXbYtWrQoSlZVRXlFTtTaYGC9W7xkUSQrVkVedXlUZzCWmolgZO6IQw+MTsXF8dJ/3oh33p0RJY3s9JFIJGLUiGFxwjGHx4S996i3zshhQ+LKC8+Jf7/6erw1+Z1YvGRpvfXWGNB/szjykAPiuKO+HIVZ2MUnmzp06BBXXHFFHH300fH444/HW2+9FfPnz49kMhm9evWKIUOGxCGHHBK77bZb5OTkxMcff5zWvj0FR4cPHx6//e1v49e//nU8+eSTdYKbERFFRUUxfvz4+O53vxs9e/bMyjgOOeSQyMnJiUmTJtVZ7bK2nJycGDFiRBxzzDGx//77N2ny3sKFC9PKw4cPb9Z4NxQHH3xw7LbbbvH73/8+Hn/88Zg/f36j9QcOHBi77rprHHjggTFq1KgG6x155JHRv3//+PnPf15nEt4agwYNiuOOOy4OP/zwyMnJadH92NDl5OTE2LFjUzsFRaze3XtdEwh33nnntOT2wsLCGD16dJPOvddee8Uf/vCHuPvuu+Ppp59O7UBeW+/eveO4446L4447Liur3bbUwIED49e//nV8//vfT72n/uY3v4lVq1bFeeedF4lEIk455ZQYOHBgvPLKKzF9+vQoLy9vsL/c3NwYO3ZsnHzyyetcMGD33XePO++8M2699dYGV3TdfPPN48gjj4wTTjihWROKTzzxxBg3blw89thjMXny5Pjss89i1apVdlMCAKBBbRE7rC5bFblV5dHaocNEIqKkdPW/fVesXJ6V2GRVVXXkbNi5f23iiCOOiE6dOsVLL70UU6dOTU1Iqk8ikYjBQwbF/gfsGbvuNDKKiup+ttx60MA45etfiUmTpsesDz6MZcuW19PTWn379ol999kzDjxgQhQUbFhPYFFRYZz0teNi9z33jGefeyE+++TTWLFsWSQSiejRq1cMGLhF7LHPvjF6h7GRk5MTcz7/LK19e0luj4jYZpvhcfvtv4nf/e7OeO65f8SKFXWft8LCovjSl/aNb3zju9G9e89YsOCLVh+H+GF2ZDN+OGzYsLj++uvj3XffrbeO+OFaX/va12K//faL3/3ud/H000/HkiVLGqybSCRi8ODBsdtuu8UhhxwSW2+99fobaJb84Ac/iFGjRsXdd99db/J5QUFB7L///vH9738/unXrllGfaxb9PPDAA+Puu++Od955p84O6xGr3y+22267OOOMM2LHHXds8tjHjRuXNvl58ODB6/weZeedd47/9//+X51+miIvLy/OOeecOOKII+I3v/lNvPjii43udpWbmxvDhg2LPfbYIw466KB2tbgpAADQttZ3rHlDJ9bcPE2NNY8aNSqOP/74mDBhQr11Ro4cGVdccUW89NJL8dZbb60zXjhgwIA44ogj2u28qMbUnqv65ptvpuaq9u7d21zVZhBrzg5zVWmq6urquPLKK9NeKxdeeGFstdVW62ybk5MTV199dZx00kmxaNGiiIi48cYbY+TIkRtFzLwtJZL1RdLZYK3rD92GLJFIpL40WrJkSb1fAkFtrhuaY2O5br744otYUbYsyqtLo1fvXm09nI1eIhLRtWuXiIhYunRZJGtMuVwwf0EU5BRFp8Iu0adPn7YaYoO++OKLqCgtierK9ZvMtHDholhVUhkV5bnRvXt2AgKZWrx4YVRXrIy86vLo3q17Rm2WrVgWHTrmxxYD+0SvXs17jSUSEV26dF3d37KlbZ7k3xLTps+MisqKKMzPj+HDhq6zfmVVVcz+6OP45NM5MX/hwv8GDxPRqbg4Nt+sbwzbZlD07JHZc7HGZ5/PjQ8/+TTmzvsiVqxcFdXV1dGhQ1H07tUzhgzaOrYY0L4nznwxf0FU5hZGblHndb5XrOtv1cMPPxy33HJLqvzoo482+zrNpvLy8nj77bdj7ty5sXjx4ujSpUv07ds3xowZs153xvriiy/io48+innz5sXSpUujrKwsCgsLo3PnztG3b9/Ydtttmx10/d73vpdaqa9fv37xxz/+sc12tmmLf+N89NFHMXPmzFi6dGksX748CgoKori4OPr37x+DBg1qVkB41qxZMW3atFi8eHHk5+dHr169YtCgQTF48OAs3ANact1UVFSkEqeXLFkSubm50aNHj9hmm22yvsrt+lZeXh4ffPBBfPLJJ7Fo0aJYtWpV5ObmRqdOnWLgwIExdOjQ6Nq1a5P7/fTTT2Py5Mm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"text/plain": [
"worksat | empower | lmx | |
---|---|---|---|

worksat | 1.000000 | 0.300790 | 0.409996 |

empower | 0.300790 | 1.000000 | 0.410874 |

lmx | 0.409996 | 0.410874 | 1.000000 |