From ffb984f420d773fe0e0ba66f8378a0fa0ed6568b Mon Sep 17 00:00:00 2001 From: EddyCMWF Date: Mon, 9 Dec 2024 15:43:55 +0000 Subject: [PATCH] Update documentation --- _sources/cds-tutorial.ipynb | 13 +++---------- .../erb-outgoing-longwave-radiation.ipynb | 11 ++--------- .../ecv-notebooks/srb-climatology-and-anomaly.ipynb | 4 ++-- _sources/reanalysis-climatology.ipynb | 6 +++--- _sources/sf-anomalies.ipynb | 6 +++--- cds-tutorial.html | 11 ++++------- ci-windchill.html | 2 +- ecv-notebooks/erb-outgoing-longwave-radiation.html | 7 +++---- ecv-notebooks/srb-climatology-and-anomaly.html | 4 ++-- ecv-notebooks/total-column-water-vapour-combi.html | 2 +- ecv-notebooks/total-ozone-columns.html | 2 +- genindex.html | 2 +- glofas-bangladesh-floods.html | 2 +- intro.html | 2 +- projections-cmip6.html | 2 +- projections-cordex.html | 2 +- reanalysis-climatology.html | 8 ++++---- reanalysis-heatwave.html | 2 +- reanalysis-temp-record.html | 2 +- search.html | 2 +- searchindex.js | 2 +- sf-anomalies.html | 4 ++-- sf-verification.html | 2 +- visualising-fwi-for-esotc.html | 2 +- 24 files changed, 42 insertions(+), 60 deletions(-) diff --git a/_sources/cds-tutorial.ipynb b/_sources/cds-tutorial.ipynb index 4c4d21d..4b3b7cf 100644 --- a/_sources/cds-tutorial.ipynb +++ b/_sources/cds-tutorial.ipynb @@ -106,8 +106,8 @@ "metadata": {}, "source": [ "There are two ways to access data from the Copernicus Climate Data Store (CDS):\n", - "* [interactively](#access_manual) via the CDS web interface, or\n", - "* [programmatically](#access_programmatic) with the CDS API" + "* interactively via the CDS web interface, or\n", + "* programmatically with the CDS API" ] }, { @@ -196,7 +196,7 @@ "**Note:** You need to be logged into the ADS portal and you have to accept the Terms and Conditions of the dataset before being able to download data.\n", "\n", "\n", - "You will need the `Show API request`, if you want to request data programmatically. See [Section 2.2](#access_programmatic) for further information. You will need the `Show Toolbox request` if you want to request data via the CDS Toolbox. Learn more about the CDS Toolbox [here](https://cds.climate.copernicus.eu/cdsapp#!/toolbox).\n" + "You will need the `Show API request`, if you want to request data programmatically. See Section 2.2 for further information. You will need the `Show Toolbox request` if you want to request data via the CDS Toolbox. Learn more about the CDS Toolbox [here](https://cds.climate.copernicus.eu/cdsapp#!/toolbox).\n" ] }, { @@ -435,13 +435,6 @@ "#### Example: **ERA5-Land hourly data from 1950 to present**" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "> Data used in [113_c3s_climate_indices](./113_c3s_climate_indices.ipynb)" - ] - }, { "cell_type": "markdown", "metadata": {}, diff --git a/_sources/ecv-notebooks/erb-outgoing-longwave-radiation.ipynb b/_sources/ecv-notebooks/erb-outgoing-longwave-radiation.ipynb index 6300624..e4c3f5f 100644 --- a/_sources/ecv-notebooks/erb-outgoing-longwave-radiation.ipynb +++ b/_sources/ecv-notebooks/erb-outgoing-longwave-radiation.ipynb @@ -477,7 +477,7 @@ "December 2018. The maximum values of the OLR are found in the tropics and it decreases toward the\n", "poles. The relative minimum near the equator, in yellow colour, corresponds to the ITCZ and the\n", "convection areas, where persistent and relatively high cloud cover reduces the LW radiation at the\n", - "TOA. Antarctica is cooler than the corresponding northern latitudes ([Harrison et al.](#harrison))." + "TOA. Antarctica is cooler than the corresponding northern latitudes (Harrison et al.)." ] }, { @@ -684,7 +684,7 @@ "**Figure 3**, shows the evolution of the OLR in the Arctic region [70°N-90°N] for the period 1979-2019\n", "also using a yearly rolling mean. From the image, we can infer an increase in the OLR in the Arctic\n", "region with time. This increase is strongly marked as from 1998 and in line with the increase of\n", - "temperature in the Arctic ([Hansen et al, 2010](#hansen)), while the relative stability of the first part of the time\n", + "temperature in the Arctic (Hansen et al, 2010), while the relative stability of the first part of the time\n", "series is more difficult to interpret due to the major volcanic eruptions in this period." ] }, @@ -710,13 +710,6 @@ "\n", "Harrison, E.F., Gurney, R. J., Foster, J. L., Gurney, R. J., & Parkinson, C. L. (1993). _Atlas of satellite observations related to global change_. Chapter: Radiation Budget at the top of the atmosphere. Cambridge University Press." ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "[Back to top the Page](#page-top)" - ] } ], "metadata": { diff --git a/_sources/ecv-notebooks/srb-climatology-and-anomaly.ipynb b/_sources/ecv-notebooks/srb-climatology-and-anomaly.ipynb index cbd45b6..2eb2373 100644 --- a/_sources/ecv-notebooks/srb-climatology-and-anomaly.ipynb +++ b/_sources/ecv-notebooks/srb-climatology-and-anomaly.ipynb @@ -1996,7 +1996,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Please note that you need to open the dataset to be able to execute this usecase, as described in the previous section [\"Load dataset\"](#load).\n", + "Please note that you need to open the dataset to be able to execute this usecase, as described in the previous load data section.\n", "\n", "The spatial resolution of the CLARA-A3 radiation dataset is 0.25ºx0.25º that is roughly equal to 25x25 km. With this resolution, it is possible to conduct a regional analysis using the CLARA-A3 radiation datasets. Furthermore, we can use the CLARA-A3 radiation datasets to investigate recent meteorological events. This could be a research project for a student or provide complementary information on a special event, e.g., the analysis of recent heat waves. In recent years, a high number of heat waves appeared in Europe. Particularly interesting is the summer 2003." ] @@ -2049,7 +2049,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "metadata": {}, "outputs": [ { diff --git a/_sources/reanalysis-climatology.ipynb b/_sources/reanalysis-climatology.ipynb index 917961a..3117abb 100644 --- a/_sources/reanalysis-climatology.ipynb +++ b/_sources/reanalysis-climatology.ipynb @@ -1476,7 +1476,7 @@ "source": [ "## 4. Calculate monthly climatology and anomalies\n", "\n", - "We will now calculate the monthly climatology of near-surface air temperature for the period 1991 to 2020. We will also view the anomalies with respect to the climatology for a particular month. To do this, we return to the data array created at the end of [section 1](#search_download).\n", + "We will now calculate the monthly climatology of near-surface air temperature for the period 1991 to 2020. We will also view the anomalies with respect to the climatology for a particular month. To do this, we return to the data array created at the end of section 1.\n", "\n", "We first create again a temporal subset for the period 1991 to 2020, but this time keeping the monthly temporal resolution." ] @@ -1811,7 +1811,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We will repeat the steps in [section 1](#search_download) to read the data into an xarray data array:" + "We will repeat the steps in section 1 to read the data into an xarray data array:" ] }, { @@ -1829,7 +1829,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We will also repeat the steps in [section 1](#search_download) to convert the values from degrees Kelvin to Celsius:" + "We will also repeat the steps in section 1 to convert the values from degrees Kelvin to Celsius:" ] }, { diff --git a/_sources/sf-anomalies.ipynb b/_sources/sf-anomalies.ipynb index 2135e1d..3f412e6 100644 --- a/_sources/sf-anomalies.ipynb +++ b/_sources/sf-anomalies.ipynb @@ -5182,7 +5182,7 @@ "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABOwAAASnCAYAAABW2ucqAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/av/WaAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd1gUxxsH8O/Re1dQUFAR7B27gsZeooka+8+eRBNbNGoSY4+xR6MxdtTYNWrsvcSuaOyiqIhYAFHp/W5+fxy34byZ4w4OOOP7eR6emNkyszu7s7tzs/vKGGMMhBBCCCGEEEIIIYQQo2BS1AUghBBCCCGEEEIIIYT8izrsCCGEEEIIIYQQQggxItRhRwghhBBCCCGEEEKIEaEOO0IIIYQQQgghhBBCjAh12BFCCCGEEEIIIYQQYkSow44QQgghhBBCCCGEECNCHXaEEEIIIYQQQgghhBgR6rAjhBBCCCGEEEIIIcSIUIcdIYQQQgghhBBCCCFGhDrsCCGEEEKMUFBQEGQyGaZMmVLURTEqBblffHx8IJPJsHbtWoOv21CePHkCmUwGmUyGJ0+eFHVxiBFQHQ+nTp0q6qIQQggxIOqwI4R88ORyObZt24b//e9/8PPzg5OTEywsLFC8eHE0btwY3333HW7fvq2xXHx8PH777TcMGDAAtWrVgqenJywtLWFnZ4cKFSpg8ODBuHLlSq75X7p0CYMHD0bFihVhb28PS0tLlCpVCnXq1MHAgQOxdu1aREZG6r1da9eulW7idfnT9uCX132U88FSJpOhTZs2uZZ7+/btasvkfCiPj4+HmZkZZDIZ5s+fL1zHvXv3pOXLlCmjNb/WrVtDJpOhYcOGaumqToHc/oKCgnLdJp681rsh6xUA3r59CysrK2n+sLAwnbfhyJEj6NWrF3x9fWFrawtra2v4+Pigfv36GDZsGDZv3oxXr17leRuOHTumc1lyWrhwIaZMmYLr16/naXljyYMYlylTpmDKlCkF2klWGHkQQggh5P1gVtQFIISQonTx4kX069cPDx48kNLMzc1hb2+P169f49y5czh37hxmzZqFTz/9FJs3b4aFhQUAICwsDF9//bW0nImJCRwdHREfH4/79+/j/v37WLNmDSZMmICZM2dq5M0Yw+jRo7Fo0SIpTSaTwcnJCa9evcKzZ89w9epVBAcHo1+/fvka8eHm5gZTU1Ot84im52cfvevo0aN49uwZvLy8hOVYs2aNcJqjoyNq1qyJkJAQnDx5EmPGjOHOl3OUwZMnT/DkyRP4+PhozJeVlYXz588DAJo1a8Zdl7m5OVxcXIRl0jaNx5D1np96Vdm4cSPS09Ol/1+zZg1+/vlnrcukp6ejb9++2L59u5RmYmICJycnvHjxAhEREbh06RJ+//13TJ48WTgSysTEBMWKFRPmY2lpqbUcIgsXLkRERAR8fHxQo0aNPK3DGPIgfKVLl4a/vz/c3NwMvu5y5crBysoKjo6OGtOmTp0KQNmZz2tPDEGXPMzNzeHv7y/9mxBCCCH/TTTCjhDywdq7dy+CgoLw4MEDuLq64ueff8aDBw+QkZGB169fIyMjA1euXMGECRPg4OCAnTt3IiUlRVre2dkZ3377LXbv3o3nz58jIyMDb968QXp6Oi5evIiWLVuCMYaff/4ZW7Zs0cj/l19+kTptOnXqhPPnzyMtLQ1v3rxBWloaHj9+jNWrV6NNmza5drrk5sqVK4iKitL6V6pUKYPvo5x8fHygUCiwfv16YTmfP3+Oo0ePwtbWVvgwrupYO3PmDORyOXceVYedh4eH2v/z9ktSUpLaet/VsGFDrftt586dwu3hMWS957Vec1q9ejUAYPjw4QCAdevWCferyrfffit11g0cOBDXr19Heno6Xr9+jbS0NISGhmLx4sVo3LgxZDKZcD2lSpXSWvYmTZpoLQf5MK1fvx6hoaFqP5gYyvHjxxEaGopPPvnE4Os2FE9PT4SGhiI0NBSenp5FXRxCCCGEFBRGCCEfoAcPHjAHBwcGgFWqVIlFRkZqnf/169esU6dO7O3btzrnkZaWxnx8fBgA1qJFC7VpCoWCeXp6MgCsTZs2ua4rJSVF53xVgoODGQAGgIWHh+u9vCH2UXh4uFSGyZMnMwDM19dXuI6ffvqJAWD9+/dn3t7e0nI5HThwQFrn5cuXuetxd3dnANj8+fMZAPa///1Pa34WFhYsOTlZbVpgYCADwAIDA7Vutz4MUe/5rdecrl69ygAwJycnlpqaysqWLcsAsL179wqXSUhIYJaWlgwA++KLL3LNQ9s2eHt756f4QqpjJzg4uEDWX1h5qI7Bd88BUjRU593Jkyff6zzIfw8dN4QQ8t9EI+wIIR+kiRMnIiEhAVZWVti1a5fWVzQB5WuPu3fv5r4mJWJpaYmaNWsCAJ49e6Y2LTY2Fs+fPwcAfPzxx7muy9raWud8DcXQ+ygwMBBly5bFw4cPcebMGe48qtc/BwwYIMynSZMmMDNTftGBN3Lu3r17iI6Ohr+/P3r06CGcL2d6vXr1YGNjI8zTUIyt3lWj67p37w4rKyv07dtXLZ0nNDRUeoW2U6dOueZRmMfulClTIJPJEBERAUB5HL37Xbx3paWlYeHChWjYsCGcnZ1hZWUFb29v/O9//+N+n07fPO7fv4+5c+eiRYsWKFeuHKytreHg4ICaNWti4sSJiI2NNfyOgHrwhMTERHz33Xfw9/eHtbU13Nzc0LlzZ1y6dEm4fM6P2MfExOCbb76Bn58fbGxsuPvx1KlT6NmzJ0qXLi29Ulq3bl3MmTMHycnJWsv6+vVrTJs2DfXq1YOLiwusrKzg4+OD1q1bY9myZYiPj1ebX1vQifxuNy/oRP/+/dW2uVmzZmr1/e6rq9euXcO0adPQtGlTeHt7w8rKCk5OTqhfvz5mz54tjerNSZ88dAk6ER8fj2nTpqFWrVpwcHCAtbU1ypcvj6FDh+Lx48fC7c9Z74mJiZg4cSIqVKgAa2truLq6okOHDlr3X27ycz7krJuMjAzMnTsX1atXh62tLRwdHdG8eXMcOnRIa/5yuRxr1qxB8+bN4ebmBktLS3h6eqJbt25aAzbkPObkcjl++eUX1KxZE3Z2dihevDg6d+6MGzduSPOnpKRgxowZqFKlCmxtbeHq6oru3bvj0aNH3PUrFAqcO3cOEyZMQP369eHl5QULCwu4uroiMDAQy5YtQ2Zmpvad+45ly5ZBJpPB1dUVaWlpwvkUCoW0bynADSGEGJmi7jEkhJDCFhUVxUxMTBgANmjQoALLJyUlhZUuXZoBYO3bt1ebFhMTI/0i/v333xdI/vkZiWWofZRzhN3JkyfZ1KlTGQA2YMAAjXn//vtvBoCVK1eOKRQK4Qg7xhirX78+A8DatWunMW3p0qUMAPv8888ZY4z5+voyAOzx48dq82VkZDBbW1sGgE2aNEljPQUxws4Q9W6oEXapqanMycmJAWDnzp1jjDH26NEjJpPJmJmZGYuKiuIud/nyZSn/FStW5CnvghphN3fuXObu7i4duw4ODszd3V3tL6dnz56xKlWqSNtjbm7OHB0dpf83MTFhv/76a77yUB3HAJhMJmNOTk5MJpNJaZ6eniw0NJS7PfkZYafKd8GCBczf318aSaoaNavavtWrV3OXV82zcuVKacSqlZUVs7e3ZzlvHzMzM9ngwYOl+QEwOzs7ZmpqKv2/v78/e/LkCTefw4cPM2dnZ2leMzMz6bhU/e3atUvn/ZLf7eaNnBwxYoS0DwAwZ2dntfquU6cOd9+p8np3eypVqsSio6PVltEnj5ztKq8NuH37NvPy8pLmyVlvAJilpSXbsWMHd/tV82zatElqO62srJiNjY3aeXLo0CHu8rnJz/mgWnbx4sWsXr16Ulns7OzU1imq27i4OBYUFCTNa2pqqpH/2LFjucuqjrnvv/+etWjRQjquVNcQ1XF/5coVFhsby2rWrCntO2tra2me4sWLs4iICI3156xT1XmQ85gFwJo0aSIcbZ/zOquSmJgo1fsff/whrJODBw9K++Pp06fC+QghhBQ+6rAjhHxwNm/eLN3c7tu3z6DrVigULDo6mh06dIg1adJEyuf48eMa85YpU4YBYPb29uzIkSMGLQdj+evYMdQ+erfDLiIigpmYmDA7OzuWmJioNm///v0ZADZjxgzGGNPaYffdd99J+y4rK0tt2meffSY9cDLG2KBBgxgAjYe4s2fPch9yVAqiw46x/Ne7oTrsNmzYwADNV5RVx+3cuXO5y6WkpEgP756ensLXkrVRbYONjQ2rVasWs7W1ZVZWVqxMmTKsd+/e+X6tS5fXVbOysqSHfkdHR7ZhwwaWnp7OGFN2XHbo0EHazwcOHMhTHowx1r17d7Z48WL28OFDaf3p6ens2LFjrG7dugwAq1WrFndZQ3TYOTo6MmdnZ7Zt2zaWmZnJGGPs7t270rrNzMzY1atXNZbP2Qnh7+/Pjh8/zuRyOWOMsfv370vzjRw5kgFg7u7ubOnSpez169eMMWWH+MmTJ6WOi1q1aknLq1y7do1ZWVkxAKxy5crswIEDLCMjgzHGWHJyMrty5QobM2YMO3bsmM77Jb/bra1etbUXObVo0YKtWbOGRURESHmnpKSwnTt3Sp2In3zyCXdZXfLQ1mGXkJAgtTGenp5s//790n6/fv269GOHpaUlu379ujB/Z2dnVqlSJXbixAkml8uZQqFgly9flsrv7e2tUZ+6yM/5oKobZ2dn5unpyXbv3i0dL6GhodK22dnZsbi4OI3lu3TpInW0/frrr9JnEF6+fMkGDhwobfvvv/+usazquHFycmKurq5s+/btLCMjQ9ovqs8JNGzYkH3yySfMx8eHHT58mMnlciaXy9mxY8dYsWLFGADWu3dvjfVHRkayTp06sa1bt7Lnz59L+zYxMZEFBwezkiVLMgBs9OjR3H0jOm6+/PJLBoA1bdpUUCOMffrppwwA69Chg3AeQgghRYM67AghH5yJEydKN7fPnz83yDq/+OILtV/CVX+urq5sy5Yt3GU2btyoNq+3tzfr27cvW7hwITt37hxLS0vLV5lyduy4ublpjALK+ffuw6Oh9tG7HXaMMWl0wpo1a6T5EhMTma2tLTMxMZF+4dfWYXfkyBFpvZcuXVKbphqloir3+vXrGQDWt29ftflmzJghjYDg7WvVA5q5ublwv/n5+em9T/Jb7/mp15yaNWvGALBp06appa9cuZIBYBUqVBAuq/r2n+qvQoUKbNCgQez3339nISEhUieFLtugegC3sLBQSxswYECu6xHRpTNty5YtUl680UKZmZlSh16VKlXylEduEhMTpeP1zJkzGtMN0WEHQKPDizFlB1L58uUZwB+pqlrWwcFB+P3KW7duMZlMxmxsbNjNmze58yQkJEijvd4dKde4cWMGgJUvX57bwSKiS4ddXrfbEB122jx79oxZWloymUzGHWmV3w67WbNmSe3WrVu3NJZNSEiQvq367sjvnPkXK1ZMYxQgY4zdvHlTmufs2bO5b7AecjsfVHVjaWnJ7t27pzE9JiZG6gDesGGD2rRLly5J5V6+fDk3f1WHnpubG0tNTVWbpjrmRGU7fvy4NN3a2pqFhYVpzLN69WppuqqjUVdXrlxhAJitra1G2RgTHzc3btyQpvH2WVRUFDM3N2cA2J49e/QqEyGEkIJH37AjhHxwXr9+Lf3bxcXFIOt0dHSEu7s7XF1dpTRXV1fMnz8fnTt35i7Tq1cvbNmyRfo2XEREBP744w+MGjUKjRo1grOzM3r06KH2XZy8io2NRXR0tPDvzZs3avMXxD5SGThwIAAgODhYStu2bRuSk5PRsmXLXKOaAkCjRo1gbm4OADh58qSUfvfuXURHR6N8+fIoWbIkAOW3896dL+f/N2jQAJaWlsK8MjMzte47fRmy3vWtV5XHjx/j1KlTkMlk0nfrVD777DNYW1sjNDQU58+f5y7//fff49dff5WOjdDQUKxevRpDhw5FnTp14ObmhsGDBwu/lVWyZElMnjwZN27ckCLkpqSk4Ny5c2jRogUA5fExevToXPdBXm3duhWAsv5bt26tMd3MzAyTJ08GANy+fRu3bt0yeBns7Oyk4/Ps2bMGXz+gPFc++ugjjXRra2t8++23AIBDhw5pfCdOpW/fvsLvV65evRqMMbRv3x5Vq1blzmNvby+1gYcPH5bSw8LCpG2eOXOmXt8H1UV+t7ugeHp6onr16mCMCc+v/FAd1127dkWVKlU0ptvb22PcuHEAgIMHDwq3//PPP0fx4sU10qtWrYoyZcoAAG7evGmoYgPQ/Xzo2rUrKlSooJFerFgxNGjQgFs2VaR2Ly8vDB48mLve6dOnA1C2q0ePHuXO07hxYzRu3FgjPTAwULqOdO3aFb6+vhrzqNqZ1NRUhIWFcdcvUqdOHRQvXhzJycncb2uKVKtWTdonK1eu1JgeHByMzMxMeHl5oV27dnqViRBCSMGjDjtCyAeHMWbwdc6ePRtRUVGIjY1FcnIyjh49inLlyqF///5o2rQpoqKiuMt1794djx8/xoEDB/DNN9+gcePGsLe3B6C8qd+6dSvq1KnDvdHWR3h4OJhyVDX3792PbRfEPlL55JNP4OTkhDNnzkgPLWvWrAGgPdhETjY2Nqhbty4A9YASqn+rHvoAoHTp0vDx8cGzZ8+kD35nZGTgwoULAIDmzZtrzSswMFC43+Li4nQq77sMVe/61qvKmjVrwBhDkyZNND6Y7+DgIHWwqOqFZ/jw4Xj27Bl27NiBr776CgEBAVKAifj4eKxevRpVq1bFvn37NJZt1aoVpkyZgmrVqkkPuaampmjYsCEOHz4sBbNYunSp3g+2ugoJCQEAqYOQp1mzZjA1NVWbPy/27duH7t27o2zZsrC1tVULJrBt2zYAmoFpDEXb8a2aplAocO3aNe48jRo1Ei6v6lQ5ePAgPDw8hH+qznlVoA4AUmeVqakp2rZtq99G6SC/250fCoUCmzZtwscff4zSpUvD2tparc4vX74MwPB1npGRIXVUaTuuW7ZsKZVTtP316tUTLq/6MUT0g0Bu8ns+5KVsqvO3WbNmMDHhP/5UrFgRnp6eavO/S3XdeZepqSnc3NwAAAEBAdx53N3dpX+/fftWY3pGRgaWLVuGVq1aoWTJkrCyslLbNzExMQD0P26+/PJLAMD69euRkZEhpTPGpABDgwYNkto6QgghxoM67AghHxzVTTWQ9wcObWxsbNCiRQucOXMGtWvXxuXLl/H1118L5zc3N0fbtm0xf/58nDlzBnFxcbh27RpGjhwJMzMzZGVlYejQoQYZaaergtxHVlZW6NmzJwBlVNiwsDCcO3cOzs7OwtGIPM2aNQOg7DTIysoC8G+HXVBQkNq8qg481fTLly8jJSVFbT2FrajqXaFQYN26dQCA//3vf9x5+vXrB0A5WocX0VLF2toaXbp0wZIlS3D58mUkJCTg3Llz0vIpKSno0aOHsMOax8TEBPPmzZPKunfvXp2X1Yfq4Vf1gM5jZWUlnQuq+fWhUCjQq1cvdOzYEdu2bUN4eDgyMjLg7OwMd3d3uLu7w8rKCgByjaSaV9q2L+c00fbxRlmpvHjxAgCQlJSkdaSnattU5xwA6Zhwc3ODra2t7huko/xud16lpKSgRYsW6N27N/bu3YvIyEgoFAq4uLhIda4aHWzoOn/z5g3kcjkA7dufc8SkaPtVPyDwqKJ06xu11FDnQ17Kpsv5Dvy7b/KzX0TzqKaLylenTh0MHToUR48excuXLyGTyeDm5ibtG1VHo77HzWeffQYXFxfExsZi586dUvqJEyfw8OFDmJqaYtCgQXqtkxBCSOGgDjtCyAencuXK0r//+eefAsvHwsICX331FQDgzz//1Lnjy8TEBDVr1sTChQuxYsUKAIBcLld7hbSgFfQ+Uo2kW79+PVatWgVA+aqotldT36XqaEtKSpJGQ5w+fRqA+gi7nP+veg1W9d+cI/WKWmHV++HDh6URGoMHD1YbwaH6a9OmDQDlvlWNeNGFmZkZGjZsiLVr12LSpEkAlA+XqtfRdOXr6yt1lIleqzUUmUxm0PlyWr16NTZv3gxTU1NMmjQJYWFhSE9Px5s3bxAVFYWoqCh07doVQMGNatVWbl22SduoG1Xn0KxZs7SO9NQ24jMv+1UX+d3uvPrpp59w8uRJWFtb45dffkFERATS0tLw+vVrqc5VI8QKciSzrttfkPviXcZ+PuRlPkMZPXo0bt26BVdXV6xZswYvX75EamoqXr16Je0b1ehBffeNlZUV+vfvDwDStQX49xXZtm3b6vQpCkIIIYWPOuwIIR+cnK/E7Nq1q0Dzyvlr/sOHD/Ve/n//+5/0muH9+/cNVq7cFPQ+CggIQJUqVfDs2TMsXLgQgO6vw6o0bNhQ6uA7deoU7t69i5iYGJQrV07jm1vvjrBT/bdx48bSaBdjUpD1rnoFSlfaXovV5osvvpD+XZjHrq5UI8ciIyOF86g6WgDl97H0peqoHDx4MKZOnQpfX1+N1/H0GX2YF9pen8s5TdtIOhEPDw8AyNP3/UqUKAEAePXqVYGMLizI7dZGVeeTJk3CqFGjULp0aY3On4KqcxcXF6mDVdtxnXNaXo7rvCrK80GX8x3499gozP2SmZkpjXxbsmQJBgwYIJ1bKnK5HLGxsXnO48svv4RMJsOpU6fw8OFDxMbGStf2nG01IYQQ40IddoSQD467uzu6dOkCANi0aRMePHig87L6/rKdc3SQtldpRExNTaVXhPQZfZZfhbGPVB10GRkZqFatGmrXrq1XGa2srFC/fn0AyhFzvO/XqZQtWxZeXl54/vw57ty5I32/rqheh81NQdX7q1evsGfPHgDAjh07kJiYKPxTfWfr3LlzCA0N1TsvOzs76d/6bsOjR4+kh1PVB+71oeoE0HYs1qlTBwBw/Phx4TynTp2SXrd+97tUuuSh6hyoWbMmd3pSUhIuXbokXN4Q3g22wpumGt2pL9X37fbv36/11Wmehg0bAlB2RBw8eFDvvHNTENut6njLT50/efJE6483uuQhYmFhgWrVqgHQflwfO3YMgHL7a9WqpXc+eVWU54PqfD958iQUCgV3ntDQUDx//hyA+Dt0BeHVq1dIS0sDIN43Z8+elebJi/Lly6N58+ZgjGHlypXS9+y8vLwK5BuShBBCDIM67AghH6QZM2bAzs4Oqamp+PTTT6WbdJG3b9+iS5cuahH1VA/yIklJSVi8eDEA5UgUf39/aVpGRobWB0qVvXv3Sh+nLswHK8Aw+0ibvn37YsyYMRgzZgxmzZqVpzKqOtzOnTsnRfV79/t1KqqOvFmzZiE1NVVt+cJS1PX+xx9/IDMzE46OjujYsSPs7OyEfwEBAVIkxpyj7GJjY3H16tVc81J9J+/dbcitI4IxJkXxNDExQYcOHfTaRkAZOAOA1qAgPXr0AABcuHABR44c0ZielZWFadOmAQCqVKmiEXFTlzxUkU9F3yGcPn06EhMThcsbwtmzZ7mvoqalpWH+/PkAlNErnZyc9F73kCFDIJPJEBcXJ9WZSGZmplqnnq+vL5o2bQpAGXU4ISFB7/y1KYjtNkSdT5gwId95aKM6rnfs2IHbt29rTE9KSsKcOXMAAO3atTN4dF5tivJ8UO2X58+fS59heJfqNX43NzetQTsMzcHBQeqo5e2brKws/PDDD/nORxV8Yu3atdKrsRRsghBCjBt12BFCPkh+fn74448/YGFhgTt37qBGjRqYPXu22sgHuVyOf/75B5MmTULZsmXVPtYMAF27dsW4ceNw6dIltV++k5OTsWfPHjRq1Ah3794FAEybNk3t1Z+MjAw0b94ctWrVwoIFC3Dz5k3pe1AKhQIRERGYOnWq9JDh4OCAwYMHF9j+4DHEPtKmWLFimDdvHubNm5fnX/hVHW7JyclScALeCLuc6Zs3bwagHPGo76i+/Crqeld1vHXq1AkWFha5zt+tWzcAym8Nqjqoo6KiUKdOHQQGBmLZsmW4f/++1Aknl8tx//59jB49GqNHjwYAeHt7S6M1AWWk0Lp162L58uV4/PixtKxCocDFixfRtm1btVe1cnZ060rVubZjxw5uNEYA6NKli/Qtsc8++wybNm2SPgQfHh6OLl26SCMxVR0c+uah+hbgypUrsWLFCilCY1RUFEaPHo05c+bA1dVV7+3Th6OjI7p06YIdO3ZIdRgaGor27dsjNDQUpqamUsekvmrUqIFRo0YBAJYtW4Zu3brh+vXrasfDjRs3MH36dJQrVw7Xr19XW37RokWwsrJCWFgYGjVqhEOHDkl1kJKSgkuXLuHLL7+URoQV9Xar6nzjxo1qATRyUtX5jBkzsHPnTinv8PBw9OrVC9u2bYOzs3O+8tBm6NChKFOmDDIzM9G2bVscPHhQGlF269YttG7dGuHh4bCwsMCMGTP0Xn9+FOX5ULduXakdGj58OJYsWSLt36ioKAwZMgTbt28HoOw4VI1wLgx2dnbSaNVvvvkGJ06ckOrs9u3baNeuHUJCQvIdnKVz584oUaIEYmJicP/+fQo2QQgh7wNGCCEfsLNnzzJfX18GQPqzsLBgLi4uzMTEREqTyWSsZ8+eLCMjQ1o2MDBQmm5iYsKcnJyYs7Mzk8lkauuaPXu2Rr7JycnM1NRULV9TU1Pm4uLCzM3N1dKLFy/O/v77b723LTg4WFqHm5sbc3d31/q3ZcsWg++j8PBwafrJkyf1Kr+3tzcDwCZPniycJz09nVlbW0t5lClTRjjv/fv31bahXbt2WvNX1W9gYKBe5dbGEPWe13q9cOGCtNzevXt1Ku/NmzelZXbv3s0YY+zevXtqxzgAZmZmxlxcXDS2rWzZsuzOnTtq68x5TABglpaWzM3NjVlaWqqlDxgwgGVmZuZpP58+fVoqo6mpKStRogTz9vZm3t7eavM9e/aMVa5cWe24dnJyUjuvFy1alOc83r59yypUqKDRTqiW++KLL1i/fv0YANavXz+NPFTHoLZzQER1/ixYsID5+/tL+9rR0VHtnF2xYgV3eV3P26ysLDZq1Ci1urOysmKurq7MzMxMLf3s2bMayx8+fFitTObm5szZ2VltuV27dum8X/K73arlg4ODNab98ccfauX09PRk3t7erFGjRtI8T548Ye7u7mrnRs68Z86cqbX8uuSR8xwKDw/XWMetW7eYp6enWn04ODionXPbt2/nbr8u9Z7X4zK/54O2ulHRtnxcXJzaddvMzEzjmj127Ng8b7Mu5RPt35CQEGZra6tWR/b29lI5169fr3X9up6vEydOlObt0KGD1nkJIYQUPRphRwj5oDVq1AihoaHYvHkzevfuDV9fX1hZWSExMREuLi5o3LgxfvjhB9y7dw+bNm1SC1Awf/58TJs2DS1atICPjw+ysrKk5Ro0aIDvv/8ed+/exbhx4zTytbGxQXR0NNavX4/Bgwejdu3acHR0RHx8PExNTeHl5YXWrVtj0aJFCAsLQ5MmTfK1nbGxsYiOjtb6p3pN1JD7qKBZWFhI38ICxKPrAOWIwZwf8i6K79cZut71qVdVsAlHR0e0atVKp/JWrVoVFStWVFu+QoUKiIyMxPLly9GnTx9Uq1YNtra2iI+Ph6WlJXx8fPDxxx9j1apVuHv3LipVqqS2Tnd3dyxevBi9evVCpUqV4ODggLi4OJibm6NChQoYOHAgzp49izVr1sDMzEyv/avStGlT7N+/Hy1atICjoyOio6MRERGBiIgItfk8PT0REhKCBQsWoH79+rC2tkZKSgpKlSqFvn374urVqxgxYkSe83BycsL58+cxatQo+Pj4wNTUFGZmZggKCsLmzZuxbNmyPG2fPpydnXH58mVMmDABpUuXRnp6OlxcXNCxY0ecO3cOQ4YMydf6TU1N8csvv+DatWv4/PPP4e/vD1NTU8THx8PZ2RmNGjXClClTcP36dWkUUU6tWrVCWFgYfvjhB9SsWRPW1tZITU2Fj48PWrdujeXLl6N58+ZGsd19+vTBH3/8gcaNG8PGxgYvX75ERESEWhALb29vhISEYNCgQVJUTysrK3To0AGHDx/Gd999l+88clOlShXcuXMHU6ZMQY0aNWBmZob09HSUK1cOX375Je7cuSNFYy1MRX0+ODo64vjx41i9ejWCgoJgb2+PpKQkeHh4oEuXLjh58iTmzp1boGUQqV27Ni5fvozPPvsMbm5uUCgUsLe3x2effYbz58+jb9++BslHNWoaoGAThBDyPpAxVoAx5QkhhBBCSKHz8fFBREQEgoOD0b9//6IuTqH5ULebEF3Mnz8fY8eOhZeXF548eULfryOEECNHI+wIIYQQQggh5D9MLpfj999/BwB8/vnn1FlHCCHvAeqwI4QQQgghhJD/KIVCgcmTJ+PRo0ewtbWVIsYSQggxbnn7OAwhhBBCCCGEEKO1Y8cOjB07Fm/evEFiYiIAYOrUqShWrFgRl4wQQoguqMOOEEIIIYQQQv5jkpKSEBERIQX1+frrr/HVV18VdbEIIYToiIJOEEIIIYQQQgghhBBiROgbdoQQQgghhBBCCCGEGBHqsCOEEEIIIYQQQgghxIhQhx0hhBBCCCGEEEIIIUaEOuwIIYQUuP79+0Mmk6F///5FXRRCSAGZMmUKZDIZgoKC9JqW33UbArVRhBBCCDE21GFHCCF6Yoxh+/bt+OSTT+Dt7Q1ra2vY2dmhXLlyaNy4Mb755hvs2rULCQkJGssuXLgQU6ZMwfXr1wu/4O84deoUpkyZgrVr1xZ1UfJs9+7dmDJlCnbv3l3URdFKJpNJfxUrVsx1/itXrqgt81/qREhKSsLWrVsxePBgVK9eHfb29rCwsICHhwfatGmDtWvXIisrK9f1JCYmYsqUKahatSrs7Ozg6OiIgIAAzJ8/HxkZGcLlnj9/jqVLl6Jbt27w9fWFtbU1rK2tUaZMGfTs2RMnTpzQmm9UVBS2bduGCRMmoGXLlnB1dZXq6dSpU/ruDoPy8/ODTCZDhw4ddF7m6dOnMDExgUwmw4IFCwqwdB+m96WNCgoKKtAO0aL0+vVrBAcHo0+fPqhUqRJsbW1haWkJLy8vdO7cGbt27dJpPdHR0RgzZgz8/f1hbW0NFxcXNGnSBKtWrYK2GH4PHz7EggUL0LFjR3h7e8PS0hK2trbw8/PDoEGDcPXqVa35PnnyBBs2bMDo0aMRGBgIBwcHqc158uSJPruCEELI+4YRQgjR2du3b1lgYCADIP2ZmZkxFxcXZmZmppYeHByssby3t7dwWmGbPHkyA8ACAwMLPK9+/foxAKxfv37vxXoNLedxAYCdP39e6/xffvml2vzGvn368PX1Vds2CwsLZm9vr5YWEBDAYmJihOt48uQJ8/Hxkea3sbFhlpaW0v/XrFmTvXnzRmO5p0+fMplMppaXjY0Ns7a2VksbOHAgy8rK4uatOm94fydPnjTUbsqTn3/+mQFgpqam7MWLFzotM2XKFAaAmZuba93nutDWpixevJj5+/uzvn37GnzdhvCht1Gq61phXA8K27vXZisrK2Zra6uW1rZtW5acnCxcR0hICHN1dZXmt7OzU1tvq1atWFpamsZyZ8+e1Wgn7O3tmYWFhfT/JiYm7McffxTmrTqGeH/h4eGG2EWEEEKMFI2wI4QQPfzvf//D6dOnYWpqijFjxuDBgwdIT0/H69evkZqaihs3bmD27NmoXr16UReVGCEfHx8AQHBwsHCetLQ0bNmyBTKZDKVLly6kkhWezMxMVKpUCXPnzsWdO3eQnp6OhIQEvHz5EuPHj4epqSmuXLmCLl26cEetyOVydOzYEU+ePEGJEiVw9OhRJCcnIyUlBVu2bIG9vT3++ecf9O7dm7ssYwwfffQR1q1bh+fPnyM5ORlJSUm4c+cOOnXqBABYs2YNpkyZwi2/TCZDqVKl0KlTJ0ydOhUrV6406P7Jj379+sHMzAxyuRzr16/PdX7GGNatWwcA+Pjjj1GsWLECK9vXX3+N0NBQncpFiCFlZWWhbt26WLp0KR49eoTU1FQkJSUhPDwcgwYNAgAcPHgQX3zxBXf5+Ph4dOjQAa9fv0aFChVw5coVJCYmIjk5GUuWLIG5uTmOHDmC0aNHayybmZkJU1NTdO7cGdu3b0dsbCwSEhKQkpKCy5cvo3HjxlAoFJg+fTpWr17Nzd/ExATlypVDt27dMGvWLPz888+G2zmEEEKMWxF3GBJCyHvjwYMH0q/aP//8c67zp6SkaKTRCLt+78V6DU113EyaNInJZDLm4OAgHM2xceNGBoAFBQVJo16Mffv0cfLkSaZQKITTVaPEALAzZ85oTF+1apXWkYqbNm2Sph87dkxtWlxcHLt69aowb4VCwdq0aSONoElNTdWY592Rd+Hh4UYzwo4xxjp27MgAMH9//1znPX78uFT2/fv35zvvgmxTaIRdwfovj7A7ceKE1ulffPGFdB48ffpUY/rEiRMZAGZtbc0eP36sMX3mzJnSyNb79++rTYuMjGQPHjwQ5p2ens6qVavGALBy5cpx53m3zTl58iSNsCOEkA8EjbAjhBAd5fzunGokjjbW1tbSv1UfTI+IiAAADBgwQO0bZTKZTG3Z+/fvY+7cuWjRogXKlSsHa2trODg4oGbNmpg4cSJiY2OF+fr4+EAmk2Ht2rVISkrCpEmTULVqVdjb20vfvJHJZJg6dSoA4PTp0xplyct37TZu3IhGjRrB3t4ejo6OqFevHlasWKH12z4AEBMTgzVr1uDTTz9FxYoV4ejoCGtra/j6+mLw4MG4c+eOxjKnTp2CTCaTRgetW7dOYxtyfk8sL3kUhDJlyiAwMBAJCQn4888/ufOsWbMGgPIY0SY1NRV79uzBkCFDUKNGDRQrVgyWlpYoWbIkOnfujIMHD3KX69GjB2QyGdq1a6d1/Q8fPpS+bWbIb7OpvpUlohrxAii/5fcuVZ03a9YMDRo00Jjeo0cPlClTBgA0RnM5OjqiVq1awrxlMhkGDhwIQPmtvXv37mnMY2pqKlzeGKj23/3793Hu3Dmt86qONU9PT7Ru3RpAwZ0rugSNOHjwIFq2bAknJyfY2dmhevXqmDNnDjIzM/OU57uMuY1SefToEYYPH46KFSvCzs4ONjY2qFixIkaNGoWnT58aZD/oS5eAHGvXroVMJpNGEWtbfseOHQgKCoKLiwtsbGxQo0YNLFq0CAqFokDK36xZM63Tc7Y5ISEhGtNV7UjOtiWn4cOHw87ODnK5HBs3blSb5uXlhfLlywvztrCwQJ8+fQAo6/7t27ca8xh7m0MIIaQAFXWPISGEvC+2bdsm/ap95MgRvZadO3cuc3d3ZyYmJgwAc3BwYO7u7mp/OalG4gFgMpmMOTk5qX17y9PTk4WGhnLzUi07b9485ufnJ30nzMnJiQFgf//9N3N3d5e+4WNubq5Rli1btui8bQqFgg0YMECtvM7OztK29ujRQ+sok3e/z+Pg4KD2bSBLS0u2Y8cOtWXOnTvH3N3dmZWVlfRNone34dy5c/nKIyfVfHkdJaNaPjg4mK1bt44BYM2aNdOYLyIigslkMmZvb8+Sk5O1jrALDg5W2yZra2tmY2OjljZmzBiN5VSjM0xMTFhERISwzOPHj2cAmJ+fX562Oa8SEhKk8s+dO1dtWnJysnRczZkzR7iOoUOHMgDMw8ND7/z37Nkj5X/lypVc5ze2EXaZmZnMw8ODAWCDBg0SzhcfHy99u++HH36Q0vNzrmgbBZfbCLl3vw3o5OQk5du0aVP23Xff5XkE2PvQRjHG2IoVK5i5ubnaenN+X9HBwUF47VG1Fd7e3nrvn5zL8/avLqMEVe0RL/+cy3/11VdS+6O6Jqn+/ve//+Wp7Pl18+ZNqQzbt29XmxYaGipN27Ztm3Adbdu2ZQBY/fr19c7/119/lfJ49epVrvPTCDtCCPlw0Ag7QgjRUUBAgDQySPX9Ol2NHTsWUVFRKFWqFABg0aJFiIqKUvvLqX79+li8eDEePnyItLQ0vH37FmlpaTh27Bjq1q2L58+fo1evXlrznDJlChISErBz504kJSXh7du3iIyMRO3atREVFYWxY8cCABo2bKhRlu7du+u8bYsXL5a+yfb1118jJiYGb968wZs3bzBlyhRs3boVf/31l3D5MmXKYOLEifjnn3+QlJSE+Ph4pKen4/bt2+jduzfS09PRr18/vHjxQlpGVWZVObt3766xDQ0bNsxXHgWla9eucHBwwKlTpxAeHq42LTg4GIwxdO/eHTY2NlrX4+TkhM8//xwnT55EbGwsUlJSkJycjBcvXmDq1KkwNzfH/PnzsWfPHrXlgoKCULFiRSgUCuE3kzIzM6VRlp9//nneNzYPco46qlq1qtq0e/fuSaNwqlSpIlyHalpUVBTevHmTp/wtLCzg5+en17LGwMzMDP/73/8AANu2bUNycjJ3vs2bNyM1NRUymUxtNGdRnCt79uyRRvx269YNT58+xdu3b5GQkIDffvsNFy9exO+//57n9b8PbdTu3bulc23ChAl48uQJUlNTkZycjNDQUHTr1g0JCQno2rVrkY20y689e/Zg5cqVWLBgAd6+fYu3b98iNjYWgwcPBqAcyZZblOaCoK3NuX37tvRvXdqcu3fv5jn/EiVKwNXVVe/lCSGE/IcVdY8hIYS8T4YMGaI2SqNmzZps2LBhbPXq1ezWrVtav83FmGG+YZeYmMjc3d2F3/hS5WFqasquXbsmXI8hvgmVmprKXFxcGABh9McJEybka4Ra+/btGQA2ffp0jWmG+j6UtjwYM+wIO8YYGzx4MAOU37RTUSgUrEyZMgyANPImP9+wmzt3LgPAPvroI41pCxcuZACYl5cXNxrqjh07pJGZuoz4MJSMjAzpe05ly5ZlGRkZatNzjn67ceOGcD27d++W5rt165bO+T9+/FgapahrNFNjG2HHmPqoIFFbU7duXQYov5WoD23nSl5H2FWqVEmaJpfLNaYvW7ZM2h5926v3oY1KT09nnp6eDABbvXq1cL6PP/6YAWAjR47UmPY+jLDTdjzWrl2bAWCDBw/OU/nz6u3bt6xEiRIMAGvSpInG9Jyj3+Lj44XrUbWpAFhiYqLO+Z8/f14a6aktUmxONMKOEEI+HDTCjhBC9LB06VL8+OOPsLW1BWMM//zzD5YuXYpBgwahatWq8PDwwDfffIPo6OgCK4OdnR0CAwMBAGfPnhXO16ZNG9SsWbPAygEAR44ckUYwTZo0iTvPhAkTYGVllec82rdvD0D7tuZXbnkwxsAYy9O3/XhU30lbt26d9P2skydPIjw8HP7+/mojb/JKtU0XLlyAXC5Xm9avXz/Y2Njg2bNnOHDggMayqsinXbp0gZubW77LoquRI0fi5s2bkMlk+O2332Bubq42PTExUfq3thGIOaflXEab1NRUdOvWDSkpKXB1dX2vIzH6+/ujUaNGAPgRie/evYvLly8DUP9+ly4MfT7evHlTGpU0ceJEmJho3poOGTIEnp6eeVr/+9BGHTx4EM+fP4e7u7vWb1eqRk4ePnxYY9qpU6fAGMOTJ0/yVIbCUKpUKWkb3vXxxx8DUB4PhUWhUKBv3754+fIlLC0tsXjxYo15CrLNefXqFXr27AmFQoHy5ctj3LhxepSeEELIh4A67AghRA9mZmaYNm0anj9/jj/++AODBw9G9erVYWFhAUD5cfJffvkFVapUkR6I82rfvn3o3r07ypYtC1tbW7WPlW/btg0A8OzZM+Hyqgf2gqT6QHepUqXg6+vLncfR0RG1a9fWup4bN25g2LBhqFatGhwcHKRgBzKZDMOGDQOgfVt1URh56KpBgwaoUKECIiIicPz4cQC6B5vIKTo6GpMnT0aDBg3g6uoKMzMzaZsqVaoEAEhJSdH4kLmTk5P0qp6qc04lIiICR48eBVC4r8POnz9feu3xxx9/RJs2bQot76ysLPTq1QtXr16Fubk5Nm3alOcOImOh6oj7+++/8fDhQ7VpqmPN0dERXbp00Vi2MM8VVRtiZmaGJk2acOcxMTHRGqxCl/Ubcxul6uh7+/YtSpQoAQ8PD+7fkCFDAEAKXvS+CQgI4HbIAkDJkiUBQO9X2PNj5MiR2LdvHwDlj3HVq1cvtLyTkpLw8ccfIyIiAvb29ti+fTvs7OwKLX9CCCHvB7OiLgAhhLyPHB0d0adPHym6W1paGs6ePYtff/0Ve/fuRWxsLLp06YKwsDC9R24oFAr06dMHmzdvltLMzMzg7OwsdQzGx8cjLS1N+H0qAChevHgetkw/MTExAJBr54aXl5dw2pIlSzBy5Ejp22QymQyOjo6wtLQEoBz5lJCQoHVbc1MYeehrwIABGD9+PIKDg1G3bl3s3LkTpqamwhEo77pw4QLatWuHuLg4KU0VVVImk0Eul0vRhJOTkzVGyn355ZcIDg7GgQMH8Pz5c6kOV61aBYVCAX9//zx3kuhr8eLF0jcVR40aJX3P7F329vbSv1NSUoTryzkt5zI8crkcffr0we7du2FmZoZNmzahVatW+hTfICIjIxEQEMCdNnbsWGn/6Oqzzz7DyJEjkZiYiODgYPz0008AlJ2TGzZsAAD07NlTLZo1UPjniqoNcXNzk/Lg0daG6LJ+Y26jVN++y8jI0Gl0dmpqap7yKWrazkUzM+UjiaEiAudm7NixWLJkCQDgl19+kUY9v+vdNsfBwYE7nz5tTnJyMtq3b4+LFy/Czs4OBw4cKNTOQkIIIe8PGmFHCCEGYGVlhRYtWmDPnj3o168fAOVoi0OHDum9rtWrV2Pz5s0wNTXFpEmTEBYWhvT0dLx580b6WHnXrl0BQHqdksfU1DRvG5MHqmAc+rp37x5GjRoFhUKBbt264fLly1KQDdW2LliwAID2bS3qPPKib9++MDU1xa5du7Bs2TKkpqaiTZs2KFGiRK7LZmVloWfPnoiLi0ONGjVw4MABJCQkIDExEdHR0YiKisLFixel+XnbVbduXdSqVQtyuVwKPiGXy6VXKFWjeQrakiVLMGLECADKgAC//PKLcF7VKBwAeP78uXC+nNNyLvMuVWfd1q1bYWpqig0bNkjnVmGTy+WIjo7m/iUlJem9PltbW2kU5fr166XOpv3790udQu++DluU50pe25CCXn9h7BPVK+tt2rSRXr/P7Y/k3bhx4zB//nwAwNy5czFq1CjhvPq2OQ4ODlpHyqk66/7++2/Y2tpi//79aNy4sZ5bQAgh5ENBHXaEEGJgOV8jvH//vt7Lb9myBQAwePBgTJ06Fb6+vhqvEb0bVbaoqEbx5fYqmOhBZ8eOHZDL5ahYsSK2bNmCgIAAaRShSn63tTDyyIsSJUqgTZs2SE1NxY8//ghA99dhL1y4gIiICJiammLfvn1o27atxqgOXbbpyy+/BKDsJFYoFNJoO0tLS6njuSAtXrwYw4cPB6DsrON9QyqnihUrSudCzuiN71JN8/DwgIuLC3ceuVyO3r17Y8uWLVJnnT7RkQ3Nx8dH2DkzZcqUPK1T1SH37NkzHDlyBMC/r8NWrVoVderUUZu/KM4VVRvy6tUrpKenC+fT1lmiy/qNuY3y8PAAANy6dStf6ykoqtFvaWlpwnni4+MLqzj58u2332Lu3LkAgDlz5uQ6cjVnZFhd2hzVpwh4VJ11p0+fho2NDfbv34+mTZvqU3xCCCEfGOqwI4QQA8v56/q7r3ipOhu0jZCIjIwEAGHAiKSkJFy6dCm/xdSpLLlRPfBHRkbi0aNH3HkSEhJw9epV7jTVtlavXl34baNjx44J89dnf+Y1j4Kkeg0rIyMDbm5u6Nixo07LqbapWLFiwlf9dNmmXr16wcHBAU+fPsXhw4el79l9+umnBR5sYvHixdLIuq+++irXzjpA+WF31bcZRaNXGWPSR/lFr7aqOutyjqzr0aNHXjbDqNWvX1/qQFizZg2io6OlICO8YBNFca6o2pCsrCxh0AaFQoFTp07la/3G3Eapjunnz58XaHCdvHJ2dgbw777gMcQ1qaCNHTsW8+bNA6DsrPv2229zXcbf3x+lS5cGIG5zkpOTcebMGQDiNic5ORnt2rXD6dOnYWtriwMHDkjBowghhBAR6rAjhBAdhYeH48GDB7nOt27dOunftWrVUpum+v5Nzu+OvcvR0RGA8iPnPNOnT9c5Cp02upQlNy1btpQe5qZPn86dZ86cOcJvLqm29datW9wH2oMHD2p9UNdnf+Y1j4LUsWNHjBs3DmPGjMHChQs1Ru6IqLZJ9crku549e4Zff/011/XY2tqib9++AIAZM2ZInTkFHWwiZ2fd8OHDpW9J6UI18u/kyZPcToLt27fj8ePHAMD9HqBcLkevXr2wdetWmJmZYePGjf/JzjoVVcfcnj17sHDhQmRlZcHCwkL6/mZORXGuVKtWDRUrVgQA/PTTT9KruzmtWbMmzwEd3oc2qmPHjtKr8CNHjtT6fUagcAMzAJC+r3blyhVup929e/ewc+fOQi2TvsaOHSu9Bjtv3jydOutUVO3Ili1buFF4f/vtNyQlJcHU1BS9e/fWmK7qrFO9BkuddYQQQnTGCCGE6GTv3r3MxMSEtWvXjq1bt46Fh4dL0zIyMti1a9dY//79GQAGgNWtW5fJ5XK1dfTu3ZsBYA0bNmRv3rzh5jNx4kQGgJmZmbHly5ez9PR0xhhjL1++ZKNGjWIAmKurKwPA+vXrp7G8t7c3A8CCg4O1bs/Ro0cZAGZqasrOnTun177IacGCBdI2jxw5ksXGxjLGGIuPj2fTpk1jMpmMOTk5cct77NgxadmhQ4ey169fM8YYS0pKYsuWLWM2NjbStnp7e2vkvXLlSgaAOTs7s3v37nHLl988GGPS8rz9rQvV8rnVybsCAwO5+cbFxTFbW1sGgDVt2pTdv3+fMcZYVlYWO3ToECtXrpy0TQDUjtV33bp1S5oPAPP399d5e/KyP5YsWaJ2vOgrMzOTVa1alQFgnp6e7NixY4wxxuRyOdu2bRtzcHBgAFjbtm01ls3KymI9e/aUzq9t27bpnb9cLmevXr2S/q5duyZtz+7du9WmpaWl6b1+Q4uJiWHm5uYMADMxMWEAWLdu3bjz5vdcmTx5MgPAAgMD9Zq2c+dOKd/u3buzyMhIxhhjqamp7Pfff2eWlpZSG8JbPjfG3kYxxtiuXbuYTCZjAFiNGjXYoUOHpLafMcYeP37Mli1bxgICAtj06dM1lle1FaI2LDeq5Xn7Ny4ujtnZ2TEArH79+iw0NJQxprzu7d69m5UsWZK5uLgI8+/Xr1+u7UVwcLBw+fDwcKkOJk+erPe2jRs3Tlp+wYIFei8fFxfHPDw8GABWqVIlFhISwhhjLD09nS1dupRZWFhIx8e7kpOTWVBQEAPA7Ozs2N9//613/hkZGWrtyu7du6XtuXbtmtq0jIwMvddPCCHEeFGHHSGE6OjQoUNqHRsAmIWFBXNxcZEetFR/tWrVYs+fP9dYx+nTp6V5TU1NWYkSJZi3t7faQ8rbt29ZhQoVpHWZmJgwJycnabkvvvhC6wOQrh12mZmZzN/fX8rH2dlZKsv27dt13i9yuZz17dtXrbzOzs7M1NSUAWA9evTQWt4ePXqo7TsnJydp2dq1a7PFixcLH+TevHnDihUrJi3r5uYmbcOFCxcMkgdjxtdhxxhjv//+u9o22dnZMSsrK2k/7NmzR6cOO8YYa9y4sTTvvHnzdN6evOyPnOeKu7u71r8RI0Zw1xEeHs58fHyk9djY2EjbDoDVrFmT2yF++vRpaR5zc/Nc89+yZQs373fbAdGfvvVdULp06aJWrkOHDgnnzc+5ktcOO8YY++GHH9TydXZ2ZmZmZgwAa9KkCfvuu+/y3GH3PrRRjDG2YcMGZmNjI81rZmbGXF1dmaWlpVr+M2bM0MjHUB12QUFB3OmrVq1SK4O9vb3UUVW/fn2pI97YOuwiIiLU6j23c37u3Lnc9YSEhKj9CGJvby91hANgrVq14nbQr1u3TprHysoq1/x5P56dPHlS5zbn5MmTeu0fQgghxo1eiSWEEB21bt0aYWFhWLRoEbp164aKFSvC0tIScXFxsLGxQfny5fHZZ59hy5YtuHLlCjc6ZdOmTbF//360aNECjo6OiI6ORkREBCIiIqR5nJyccP78eYwaNQo+Pj4wNTWFmZkZgoKCsHnzZixbtswg22NmZobjx49j8ODB8PHxQXJyslQWfaJSmpiYYP369Vi/fj3q168Pa2trZGVloVatWli2bBk2bdqkdfmNGzdi4cKFqFatGiwtLSGXy1G1alX8/PPPOHfunNaIe87Ozvj777/Ro0cPeHp6Ij4+XtqGnB9Iz08exurLL7/E/v37ERQUBDs7O2RlZcHT0xPDhw/HjRs3ULVqVZ3X1a1bNwDQKdhEzo/z169fX+9ysxyvFYqioqr+RB+y9/Hxwc2bNzFp0iRUqVIFMpkM5ubmqF27NubNm4eLFy9Kr0HmlPN1y8zMzFzzF70m+b7J+b26UqVKoWXLlsJ5i+pcmTFjBvbt24fmzZvDwcEB6enpqFixImbNmoXjx4/r/Lo4z/vQRgFA79698fDhQ0ycOBF16tSBnZ0d4uLiYGVlhRo1auDrr7/GsWPHMH78+DzvC5GMjAwAgLW1NXf6oEGDcODAAal+srKy4Ofnh1mzZknfZSso+Wlzcp7zCoUi13NedO2rXbs27ty5g9GjR6N8+fLIzMyEra0tGjdujJUrV+LgwYMa36x9N/+0tLRc81fVAyGEEAIAMsY4H+QghBBCyAejY8eO2LdvH3r27Jlr58WGDRvQt29flC1bFqGhoTA3Ny+kUhJCCkq5cuXw+PFj9OvXD2vXri3q4qiZMWMGfvzxRzRu3FgK7kAIIYR8CGiEHSGEEPIBe/z4sRRsYujQobnOf+LECQDAlClTqLOOkP+AyMhIhIeHAwBq1KhRtIXhULU5M2fOLOKSEEIIIYWLRtgRQgghH6iEhAR069YNR44cQb169XDx4sVclylTpgxsbW1x8+ZNmJjQ736EvM8ePnyI/v3749y5czA3N8fjx4/h5eVV1MWSpKenw8nJCUFBQTh48GBRF4cQQggpVGZFXQBCCCGEFK6xY8di+/btiIqKQkZGBszMzLBw4UKdllWNxCGEvL/mzZuHadOmITExUUqbOXOmUXXWAcrvav5XviVJCCGE6It+GieEEEI+MLGxsXj69CksLCzQoEEDHDp0KE8BJAgh76ekpCQkJyfD1dUVrVu3xr59+zB27NiiLhYhhBBCcqBXYgkhhBBCCCGEEEIIMSI0wo4QQgghhBBCCCGEECNCHXaEEEIIIYQQQgghhBgR6rAjhBBCCCGEEEIIIcSIUIcdIYQQQgghhBBCCCFGhDrsCCGEEEIIIYQQQggxItRhRwghhBBCCCGEEEKIEaEOO0IIIYQQQgghhBBCjAh12BFCCCGEEEIIIYQQYkSow44QQgghhBBCCCGEECNCHXaEEEIIIYQQQgghhBgR6rAjhBBCCCGEEEIIIcSIUIcdIYQQQgghhBBCCCFGhDrsCCGEEEIIIYQQQggxItRhRwghhBBCCCGEEEKIEaEOO0IIIYQQQgghhBBCjAh12BFCCCGEEEIIIYQQYkSow44QQgghhBBCCCGEECNCHXaEEEIIIYQQQgghhBgR6rAjhBBCCCGEEEIIIcSIUIcdIYQQQgghhBBCCCFGhDrsCCGEEEIIIYQQQggxItRhRwghhBBCCCGEEEKIEaEOO0IIIYQQQgghhBBCjAh12BFCCCGEEEIIIYQQYkSow44QQgghhBBCCCGEECNCHXaEEEIIIYQQQgghhBgR6rAjhBBCCCGEEEIIIcSIUIcdIYQQQgghhBBCCCFGhDrsCCGEEEIIIYQQQggxItRhRwghhBBCCCGEEEKIEaEOO0IIIYQQQgghhBBCjAh12BFCCCGEEEIIIYQQYkSow44QQgghhBBCCCGEECNCHXaEEEIIIYQQQgghhBgR6rAjhBBCCCGEEEIIIcSIUIcdIYQQQgghhBBCCCFGhDrsCCGEEEIIIYQQQggxItRhRwghhBBCCCGEEEKIEaEOO0IIIYQQQgghhBBCjAh12BFCCCGEEEIIIYQQYkSow44QQgghhBBCCCGEECNCHXaEEEIIIYQQQgghhBgR6rAjhBBCCCGEEEIIIcSIUIcdIYQQQgghhBBCCCFGhDrsCCGEEEIIIYQQQggxItRhRwghhBBCCCGEEEKIEaEOO0IIIYQQQgghhBBCjAh12BFCCCGEEEIIIYQQYkSow44QQgghhBBCCCGEECNCHXaEEEIIIYQQQgghhBgR6rAjhBBCCCGEEEIIIcSIFHqH3dq1ayGTySCTyXDq1CmN6Ywx+Pr6QiaTISgoqLCLBwDo378/7OzsiiRvlWfPnmHUqFEIDAyEk5MTZDIZ1q5dW6Rlyiuqc93s3LkTPXv2hK+vL6ytreHj44PevXsjLCysSMulL6pv3Rw7dgwtW7ZEyZIlYWlpieLFi6N58+Y4cOBAkZYrL6jO82bixImQyWSoUqVKURdFL1Tfusm5n979i4qKKtKy6YvqXD9//fUXAgMD4eDgAFtbW1SuXBkrVqwo6mLphepcN0FBQcLz/H0616m+dXfy5Em0bNkSxYsXh52dHapVq4Zff/0Vcrm8qIumF6pz3R0+fBiNGjWCtbU1HB0d0bFjR9y5c6eoiyVEdasbfftbjh07hgYNGsDGxgZubm7o378/YmJiCrycRTbCzt7eHqtXr9ZIP336NB49egR7e/siKJXxePjwITZu3AgLCwu0a9euqItjEFTn2s2ePRspKSn44YcfcOjQIcyYMQP//PMPatWqZdQXBRGqb+1ev36NypUr45dffsGRI0ewfPlymJubo3379tiwYUNRFy9PqM51d/36dcybNw/u7u5FXZQ8o/rWTXBwMC5cuKD25+rqWtTFyhOq89zNmjULn376KapUqYJt27Zhz549GDZsGDIyMoq6aHlCda7d0qVLNc7v48ePw9zcHPXr14eHh0dRF1EvVN/aHTt2DC1atEBWVhZWrlyJ3bt3IygoCCNHjsQ333xT1MXLE6pz7f766y+0bdsWxYsXx59//olly5YhLCwMTZo0waNHj4q6eFpR3WqnT3/L6dOn0bZtW7i7u+Ovv/7CokWLcOzYMXz00UdIT08v0HKaFejatejevTs2btyI3377DQ4ODlL66tWr0aBBAyQkJBRV0QpNSkoKbGxsuNOaNm2KV69eAQBCQkKwefPmwixagaA6117ne/fuRfHixdXSmjdvDh8fH/zyyy9YtWpVYRTRYKi+tdd39+7d0b17d7W0Dh06oEyZMlixYgX69OlTGEU0KKpz7XWukpWVhQEDBuCLL77AjRs3EBsbW0ilMyyqb93qu0qVKqhTp04hlahgUZ1rr/OrV6/ihx9+wM8//4xx48ZJ6R999FFhFc/gqM6113mlSpU00tatW4fMzEwMHjy4oItmcFTf2ut77dq1MDc3x759+2BrawsAaNGiBe7fv4+1a9di0aJFhVlUg6A6117n48ePR9WqVbFz507IZDIAQMOGDeHn54dJkyZh48aNhVlUvVDdGq6/5dtvv4Wfnx927NgBMzNlF1qZMmXQqFEjrFmzBkOHDjV84bMV2Qi7nj17AoDajomPj8eff/6JgQMHcpfJyMjAjBkzUKFCBVhaWqJYsWIYMGCAtKNVfHx80KFDB+zbtw81a9aEtbU1KlasiH379gFQNrYVK1aEra0t6tati5CQEG5+d+7cwUcffQRbW1sUK1YMX3/9NVJSUtTmYYxh6dKlqFGjBqytreHs7IyuXbvi8ePHavMFBQWhSpUq+Pvvv9GwYUPY2NgItxMATEz+e58XpDrXXufvdtYBQMmSJeHl5YXIyEjhcsaK6lt7ffOYm5vDyclJuhC8b6jOdavzWbNm4c2bN/jpp59yndeYUX3rf46/76jOtdf5kiVLYGlpieHDhwvned9Qnet/nq9evRp2dnYaP8q9D6i+tde3ubk5LCwsYG1trZbu5OQEKysr4XLGjOpcXOevX7/G/fv30bZtW6mzDgC8vb1RpUoV7N6926hfhaa6NUx/y/Pnz3HlyhX07dtX7RlN1XG7a9cundaTZ6yQBQcHMwDsypUrrG/fvqxu3brStN9//53Z2tqyhIQEVrlyZRYYGChNk8vlrE2bNszW1pZNnTqVHT16lK1atYp5enqySpUqsZSUFGleb29v5uXlxapUqcI2b97MDhw4wOrVq8fMzc3ZpEmTWKNGjdjOnTvZrl27mJ+fH3N3d1dbvl+/fszCwoKVLl2a/fTTT+zIkSNsypQpzMzMjHXo0EFte4YMGcLMzc3ZmDFj2KFDh9imTZtYhQoVmLu7O4uKipLmCwwMZC4uLqxUqVJs8eLF7OTJk+z06dM67bMrV64wACw4OFjPvW0cqM71r3OVR48eMRMTEzZ69Gi9litKVN/61bdcLmeZmZns+fPnbNKkSczc3Jzt27cvL7u+yFCd617nd+7cYZaWlmz//v3SOipXrpyn/V5UqL51q2/VfnJ3d2cmJibM2dmZffLJJ+zWrVv52f1FgupctzovW7Ysq1WrFvvjjz+Yn58fMzExYZ6enmz8+PEsPT09P1VQ6KjO83bv9uDBAwaADR48WJ/dXeSovnWr74sXLzJLS0v21VdfsefPn7O3b9+y9evXM3NzczZv3rz8VEGhozrPvc5fvHjBALBJkyZpTGvQoAEDwO7fv6/3vi9oVLeG7W85dOgQAyDdu+fUtWtXVqJECZ3yyKsi7bA7efIkA8Bu377NGGMsICCA9e/fnzHGNA6gzZs3MwDszz//VFufaucuXbpUSvP29mbW1tbs2bNnUtr169cZAFaiRAmWnJwspe/evZsBYHv27JHS+vXrxwCwRYsWqeX1008/MQDs7NmzjDHGLly4wACw+fPnq80XGRnJrK2t2bhx46S0wMBABoAdP35cr/2Vcxv/Cx12VOe6y8zMZEFBQczBwYE9ffo0T+soClTf+tV369atGQAGgDk4OLCdO3fqtbwxoDrXrc7lcjmrV68e69mzp9o63ucOO6pvsYMHD7IffviB7d27l50+fZotWbKEeXl5MVtbW3b9+nWd1mEsqM51q3NLS0tmb2/PnJ2d2ZIlS9iJEyfYDz/8wExNTVmvXr10WoexoDrP273b+PHjGQB24cKFPC1fVKi+da/vc+fOsZIlS0r3bqampmzOnDk6L28sqM5zr3O5XM5cXFzYRx99pJb+9u1bZm9vzwCw8+fP57qewkZ1a9j+lo0bNwrb9c8//5xZWFjonZ8+ivS9y8DAQJQrVw5r1qzBrVu3cOXKFeGwxX379sHJyQkdO3ZEVlaW9FejRg14eHhoRECpUaMGPD09pf+vWLEiAOVQyZzvMavSIyIiNPLs3bu32v/36tULgDI6kKpMMpkMffr0USuTh4cHqlevrlEmZ2dnNG/eXIc9899Fda4bxhgGDRqEM2fOYP369ShVqpTe6zAGVN+5W7x4MS5fvoy//voLrVu3Rvfu3d/rb1ZSnYstWLAAYWFhWLhwoU7zvw+ovsXatGmDGTNmoEOHDmjatCm++uornDlzBjKZDJMmTdJpHcaI6lxMoVAgMTERS5cuxVdffYVmzZphxowZGD58ODZt2oSHDx/qtB5jQ3Wum6ysLKxbtw6VK1dG/fr19V7eWFB9i129ehWffPIJateujb179+LEiRP47rvvMHHiREyfPl2ndRgjqnM+ExMTfPXVVzh+/DimT5+OmJgYPHz4EH369JFe2zT2z1hR3RpOzteidUk3lCL9UJJMJsOAAQPw66+/Ii0tDX5+fmjSpAl33ujoaMTFxcHCwoI7/d2Pdru4uKj9v2o5UXpaWppaupmZmUYUN1Wkp9evX0tlYowJo/yVLVtW7f9LlCjBne9DQnWeO8YYBg8ejA0bNmDdunXo1KmT3uswFlTfuStfvrz0748//hht27bFV199he7duxv9TQAP1Tnf06dPMWnSJMyaNQsWFhaIi4sDoHzAUygUiIuLg6WlpcZ3cYwd1bd+fHx80LhxY1y8eDFf6ylKVOdirq6uiIqKQuvWrdXS27Zti4ULF+LatWvw9fXVeX3GgupcNwcOHEBUVBTGjx+fp+WNBdW32FdffQV3d3fs2rULpqamAIBmzZrBxMQEU6ZMQe/evTXW/z6gOhebNGkSkpKSMGPGDOnHtvbt22PAgAFYtWqVWoeVMaK6zT9VGVVlyunNmzca22toRf5l8/79+2PSpElYtmyZ1g9wu7m5wdXVFYcOHeJON3RY4qysLLx+/VrtIIqKigLwb6W5ublBJpPhzJkzsLS01FjHu2kF3fv6vqA6F1N11gUHB2P16tXvZaTQd1F966du3bo4dOgQXr16Jbw4GTuqc02PHz9GamoqRo4ciZEjR2pMd3Z2xsiRI9/L0XdU3/phjL2XnfE5UZ3zVatWTcovJ8YYAOMfiaEN1XnuVq9eDQsLC/Tt2zdPyxsTqm++69evo2fPnlJnnUpAQAAUCgXu3bv3XnbYAVTnImZmZliwYAGmTZuG8PBwuLm5oUSJEmjdujXKlCkDLy+vvGxWoaK6zZ8qVaoAAG7duoV27dqpTbt165Y0vaAUeYedp6cnvv32W4SGhqJfv37C+Tp06IAtW7ZALpejXr16hVK2jRs3YsSIEdL/b9q0CYBymKeqTLNmzcLz58/x2WefFUqZ/guozvkYYxgyZAiCg4OxfPlyDBgwwKDrLypU37pjjOH06dNwcnLS+MXpfUJ1rqlGjRrS8P6cRo0ahfj4eAQHB78XN308VN+6Cw8Px7lz59CiRYsCz6sgUZ3zdenSBUeOHMHBgwel13oA5cgrExMTBAQEGDS/wkR1rl1UVBQOHDiATz/99L2+fqtQffOVLFkSISEhkMvlap12Fy5cAID39joOUJ3nxs7ODlWrVgUAXLt2DcePH8f8+fMLJC9Do7rNH09PT9StWxcbNmzA2LFjpXP/4sWLuH//PkaNGlWg+Rd5hx0AzJo1K9d5evTogY0bN6Jdu3YYOXIk6tatC3Nzczx79gwnT55Ep06d8MknnxisTBYWFpg/fz6SkpIQEBCA8+fPY8aMGWjbti0aN24MAGjUqBE+//xzDBgwACEhIWjatClsbW3x8uVLnD17FlWrVsXQoUPzXIYdO3YAgBSyOCQkBHZ2dgCArl275nMLixbVuaYRI0Zg9erVGDhwIKpWrar2ypSlpSVq1qxpkO0sClTfmjp16oTq1aujRo0acHV1xYsXL7B27VqcPn0av/32m1rY8PcR1bk6Jycn6ebj3fSsrCzutPcJ1bemFi1aoGnTpqhWrRocHBxw69YtzJkzBzKZ7L3+1pEK1bmmAQMGYPny5Rg2bBhiY2NRqVIlHDt2DL/99huGDRsGb29vg21rUaA6F1u3bh2ysrIwePBgQ2yWUaD61jR69GiMGDECHTt2xBdffAEbGxup46ZFixaoXr26wba1KFCdazp16hSuXLmCatWqgTGGy5cvY/bs2WjTpg2+/vprg21nQaO65dO1v2X27Nlo2bIlunXrhmHDhiEmJgYTJkxAlSpVCnyQzXvzRGhqaoo9e/Zg0aJF+OOPP/Dzzz/DzMwMXl5eCAwMlHq8DcXc3Bz79u3DiBEjMGPGDFhbW2PIkCGYO3eu2nzLly9H/fr1sXz5cixduhQKhQIlS5ZEo0aNULdu3XyVoVu3bmr//9tvv+G3334D8O/rFf9lH1qd7927FwCwZs0arFmzRm2at7c3njx5kud1vw8+tPpu1KgRduzYgSVLliAhIQFOTk6oU6cO9u3bh/bt2+d3894LH1qdf+g+tPquWrUqtm7dinnz5iE1NRXFixdH8+bN8eOPP8LPzy+/m/de+NDq3NzcHEePHsX333+PmTNn4s2bNyhTpgxmzZqFb775Jr+b91740OpcZc2aNfDx8XnvR8/q60Or7+HDh8PT0xO//PILBg8ejNTUVPj4+GDy5MkYPXp0fjfvvfCh1bmFhQX+/PNPzJgxA+np6ShfvjymTZuGESNGaLwa/b770OoW0L2/JSgoCAcOHMCkSZPQsWNH2NjYoEOHDpg7dy73VV1DkrEPoeeHEEIIIYQQQgghhJD3xPv79VtCCCGEEEIIIYQQQv6DqMOOEEIIIYQQQgghhBAjQh12hBBCCCGEEEIIIYQYEeqwI4QQQgghhBBCCCHEiFCHHSGEEEIIIYQQQgghRsRM1xnT0tKQkZFRkGUhRcTCwgJWVlYa6VTn/01U3x8eqvMPC9X3h4fq/MNDdf5hofr+8FCdf1iovj88ojrXwHSQmprKihf3YADo7z/45+HhwVJTUzXq3KN48SIvG/0VXn27udE5/l/9o3P8w/qj+v7w/oR17u5e5GWjv0KuczrP/5N/ovqm57P/7p/wHPegOv8v/lGb/uH98eqcR6cRdhkZGYiJicLNm5Gwt3eAi3Uqd750E2tuupkgl4cP+elLl/LTvbz46TVqaKaZm/PndXfnp9vb89MtLPjpovU726TzJ6Sl8dPt7PjpevakR8Xz931yMn/+4sWV/01MTEDFiqWQkZGh1sObkZGBqJgYRF6+DAd7e8Cav34uxnSfFwBkMn66ieCNbVGliPbZ48fc5FPxNbnp0dH81RQrxk9v1oyfLnsVw5/w9i0/PSVFM020D1L55yAcHbWmJyQmolTdutz6jo2NwrFjkbCzcxCeD6Ki+/nx0y2T3/AnJCXx00W/Moj2g60tN/ltGv94ffpUM020yxwc9MpSuG8M9aOYQsFPd3bmp6va3cTEBPj7aznHr19XnuOWlvwVifa9qEBZWZppmZn8eV+94iYnlq7MTW/dmr+aO3f46S1b8tOHDOGn+/vz0+VyfrqLi37z63udkWXwryeZJpp1pWo+EhMTULmylvq+dk17fYvqVVSHovlF6xe1XaJrzNmz/HQRwTEFHx9+urc3P71kSc000bbqcy4AQLrgPkG0D0TnYPZ6EhITUapGDX6dR0cj8tYtZZ2L1iO6SbOx4aeLGjXeNQwQ5hubqdn4ukULTmbBdfxqyY7cdF9f/mpEm/T6NT9dRLSponNfdDqIzn1Rlah2ZWJiAqpV03Ke37yprHPe/VUux5PO9LyvvfOS32BWTr7MX4+bGzf5jVNZbrqpKX81jnaCShEdx6L7ENF5zrufEawjOYt/IIjqO2e7XrUqv75jYqIQEqJ8PvNw1v2aAYgPBdEtmuj4Ft0XiY7vS5f46aJrJO/ZTdS8isoiuoSJnuf0PU1Eh4doPaJtVbVFiYkJqFNHcI5HRSHy8WM4ODiIK0vfDeAVSFCBsW/5J9vu3fxViy77w4Nu8SeIHtZFJ4rg2pkKQbqgPHFx/HR9L4Wi457XZKqeNXJt01XP46L2SfQsLTrwRSeQqONAdG8lug6I5heU/1GVTtx00a2baZbgOBZdnHlEx5MAs+OftKIsbbPi+ROyD5CEhASU8vPTqHMevUpqb+8Ae3sHONjwWzd9O+xEfVWiA120LbwTSbQOUZ76PkiJ0h1EHXb6FkjPp/xkBX/fi85fUWeExnz29soGQtRa8YiuWiKii4qhOuwE+9g2i78TRJsqugkQ7UtZmuCKIGo8edur777R9wDXWNxBa4edqOiifWBpIlhAdGDq22En2F65Bf984M0u2lZRumgXi659Bd1hJ9r3ul6HpHNc332vTyeFaCcI7ppkgo0SPZCJiG7ERee4qM5FdSva9/rOb4gOO4PVt6heRXUoml+0fn07h/S59gDiTi9RAy46oXmVZagOO9ENrmhbReegaD3vcLC3Vz7YFXSHXW69TO9Iz9Dcxw7JgvoQlMXOjn9Sic41fTdJRNQWiapcdDrktcMuN9J5rs99hY7Hk0TUwArOKbtEQV1BcG4KGuRMe/56RPvMoaA77Hj7U7AOUz077HRt16XnMwfDdNiJ0kXHt77Pc/o2x7xDQd+y6Nu5ou9pom+HnaiN0rUtcnBw0N6u67sBvAIJdk56Fr8BFF1+ReM4HPR9ZtHzWmUu6LATrUbUIW2oDjtek6nj41ne79VFhRSdQKLnM1GvlOhiKOr4E5Rf32u5sMNOn044A3XYiVZjmyU48EUHiBZ6ldTFUQ4HBzmg4C9mpudzXenS/PQpU/jpoh0SG6uZJjq5Tp3ip/N+TAeAltX4w60eveH3/qel8S+KGRn8dCd+trCz4zcyon3J2wfAvyPp3vXkifK/oh9mJI6OyrOFl7G+V3QR0cVDz6feKw/4Q6UqVKjNTfcRDICrVo2fXsxE8BN8LL9S5G78Y8TUyYm/Ht4+Fu0bUcWJThIdO1EtLJR/CQn86freCFmKLiyi7RLsm4Mn+OdPq1b81Tgf+YufXquWRtqFZ6W484p+KezVi58uanNEFxvR6fPiBT9ddC6LqtbWQtlZKrcQdJqqWFsrC69vZ4SobnkHj+hcFgxRs7fgX4i3beMfBzt38lcvqsNx4/jpffrw00UjSCtV4qeLRt5FRfHTxffb/O31LMm7CRDcZL3L1lZ5IovqRFQYUX0L1pNuwx/6aSk6nt4IRuOW5Y+mEc4fI2jYRY2X6ITj3BS8TOA/ZZYwE/ySLKJvh5foZ/9/h1tpz8/OTnud6ykd/ONSYcVPtzbjt0HF0jj3V6KGVNAABhz7mT+/B/9kHj+T39537sxfjWCQl7A9FtG3b0jUVqgOy1wf6s3N9X8o0PMcFx2vmQ6u3PSqb8L46xHdh167xk12zeKPyIto2JOb/vAh/4GyRg3+fXZCHL84Tk789ch4+0FwU24r7JTn73uFlbKMudW3hzuDgwMDsvjtt7lC8HCbwa9bGxt+W2cOwf2E4GFebsa/LxcdalWTLvAncN7Iii7bgDur/ZsIbnpqcf5oatElQ3Tui27h9R2dZR77kptuZVUCgA7neFaW8k/PTgd9ep+YFf8cefaMv4q6dfnpovmjPapz092fXeUvILrpEj20OPDLLzr+RH0BoiZQ9Sz9Ln1+cFHdyuT6PG5vL34e10bfdl104IkueqITyMODny4of/nz6/jz33XiJqe34Y/Is0zRbHvlHp7ceU0V+o0+lMXxX6Wy1Xd0l+oA0ePcpSixhBBCCCGEEEIIIYQYEeqwI4QQQgghhBBCCCHEiFCHHSGEEEIIIYQQQgghRoQ67AghhBBCCCGEEEIIMSLUYUcIIYQQQgghhBBCiBHRL7SMicm/fxymWfxoG4KAvzA340cKeSMIey7CC4AiCorStCk/vYybKMoaP5pOhiBAXUgIP10UoE4U3ZUTzBKAOFqhKJCeKBhnhQrK/4oC60hyqXMuUdQTUeQZfaNTCkLpBJQVrF+QbF+aH76TmXHibgPATUGYI0Ekswl3B3DT583jH9+PH2umeXnxIxxdf8iPwCiKvOySHe0q00p7hZcurQxCJKpuYRhtfaMPCjJgFvx9U6eOoDwQxGCvUYOfzgm91+Dx39xZG1QQhPpM40epuveGH4FMFNRqxQp+uihSqeh0EJ1WkVHK4zgxUXA8q+R2fhsieqxoXkFbITfjHwf+Tvyo3d99zl/PwIH8aIVLl/KL8/33/PRZs/jpouvJhg38dNF1qUMHfvrdu/x0hUIzIqwqGFW64BSVmJlpj0xloAhklnH8uhJelERlEoXqE80vukiKosHWr89Nfv5Ccx/z2mgAKIFQ/gTRtvr68tNF+150fqoiM6am8qfnXK9CIYz4J0vjL5+cwo88fP48P5uGDQX5i64PvAhq+txrAOKwfqdOcZNnj2jOTZ+/hR9FbssW/upF0RAFh5NwfkFwTWEgR12rXGrX9TmfRftedK4JbmzNswSFE12sRDfIonCcgnTvhFvc9AdvqnLTJ07kr17UhFzmB6fFtGmaEVXtXPhRVkVEbf2xY8r/ipoSSVqa/lGBAeEywqiyAsyBHw3WFLyI5kBtlyfc9EgzfuRXHi9RpOZY/skjila9Zw//Hml4i3vc9FSfitx00TkrOgVfW5TgprvaKcspjGD5LtF5q++1nEMUFdPXl/8MIspSdIoLiyh6CH76lJt88C7//lt0jya6HShvFs6fIDhPqroJ9r3oZo9XV9lpCQm5RHvP7Xlc3/rW875c2H6L2mnR/KGC+yVRvoI6t/x1Ljf9ZJ1vNdKae/FX7evLP/fXruWn+/nx76EUgk11ETxGmqdl13WuDfu/aIQdIYQQQgghhBBCCCFGhDrsCCGEEEIIIYQQQggxItRhRwghhBBCCCGEEEKIEaEOO0IIIYQQQgghhBBCjAh12BFCCCGEEEIIIYQQYkT0ihIrV8ggV8iEAb8yMvhRNfQNaFJcEPlHFIFVFCGVp0xpQVTJN4JIHc/4kUErCiLXVSwtiCQqKqQo7FyKYKeFCiLyPXjATb9duhs3vd6+HwEA5rmGFMzGqyzRgSBK1zeCjSAarDASVlwcP10UOlVwYL4RRAB2FU0QlHOu1yJ+elQPbnp4irtG2t/8AKZo0YKfnl+bNwPW1uL1e3sJmgxRnYvqULDvZQnx3HQ3N34EMtwWhFYTHSOq8Mg5iaI5CdaRWpwfjarisb3cdHae31ZcMuFHQxMEN8SqVfz0nTv56TrLjiBpsPOTtx5RFCkB07jX/AmiiEqCOhQFGP34Y366KBqxKOiwKAhWUBA/XRRlUJS+Ywc/nRe58vPPtZdJklt9i9L1be9F6aJIYKJ00bnswI/yLSy/KITftm3cZE/OdcMzSnB9F9wnwMeHny6Ieia8yfn1V366KsxlbiFDsyMDi6rExIIf+Swtjj+/6DQUXSIfxPLXX7asZrqjm163peIDXlRIwb4fU5Z/Eo5Zz7lmAIh24UeKPHCAn+20afz0atX46R4e/HTV+jNzCyCpLRq06EAQ7TPRTbzoHHz4UFwmfcojOn/0vFa19OVHfjx/vgw3XXRL8Pukl9z0w9c0o32KAkEvXMhPX7KEn643PSNNv4rjP7eJbqe9BNEWITx0+JGmLQXlLOWhY2RUAHiTwE0OTyrGTb8piG4tOrzt6/LP8ZgY/vyi40YUlf6rulf4E1TtfW4X89wiQRviGi84Z+0hiGhqx7/OOrrF8ecX7bQk/ToI2pYUHDe3b3OT5yytyU3v0IHfJnRqw39Wfp1kyU13TYjgl4e3jw8dUv4319Df2fStV9FxJErX955ORDS/qD9EVB49o9Y2q6X5HHn7Nv8ZUnTJe/KEnz5uHD9dFO1d1MVTv749ACArix9Fm4dG2BFCCCGEEEIIIYQQYkSow44QQgghhBBCCCGEECNCHXaEEEIIIYQQQgghhBgR6rAjhBBCCCGEEEIIIcSIUIcdIYQQQgghhBBCCCFGRK9wXGlpyoBtthb8aCwKM360IWszQfQWQQSRTBN+RLFatfir4QWZEQUbiY415abfvcuPKtSsrCD0hyA6VnotfuRHyyR+1ENWnz+/7MRxfr6iELpdu3KT64UIohCpQj3lFpUmI0P5p0+U2FzDFL5D3+iUolB0omhDgihBojp0FUW0FIWcFNVJAj+CFU6c4CaX4UQxLCMoI4upwk2/9Jh/HNevzy/Ku1q0AOztxVX4Oo5//ria6XksiKL+CELtyETrKVmSn65PtCRRFEoXF26yKACeb4uO3HTrs0e56fUqRHLT3/qV4qa3bcOPJlS7Dj8K27Vr3GRNeY0SK6oT3npiY/nzio4DUYg6EcFxYypoE+zs+BGjRE2aKojXu6Ki+OmiKMuiQ00UyHrzAn5Uws0r7DQTv/8eAJCADKzlr04pK+vfP9F0Hn2PD9HGitJF7aUoX9E12MKem27pIFh/48b65csjinomqlhRxFrRcT9nDjf5VfPuAIDExARg5Ehx+VJSADMzmIu2SXAeumbxI0F3bMNvG69c598DioLcDhummdagrmDfiCKSikI8iq7jgnZduB5Bnbg7POemD+jFv0/o0IEfTVDUjHqG8u8B+32qbEsTUlKwaxd/WQCQm1lCbmaJBw80p3l58cvyJsmWmy7alY6Q8yeI6kp0fIuuAyKiNkS0MwXXhwkT+LNbPrzDTY82qcxN9/PTTCvz5ip33nnzanPTe/Tgl6WR3Q0AQEJSEhwFTRWAf9t0Pc9x0bkpumcs7yN4nhNFjRfVrSgMsihsI+f68NrKkztrmaRb/CxbVeWmGypotyjaewV+oGlhWPrN7f4AAKSkJAijmKsxVNRQ3r4Xhb8UneOiiOmi9lV0Dy+aX7RNontMwT3gyl/5z77JCn7/Q2KGIBrs7dP8fEXnA28f22Xfz5nyn68kuZ3j+kZMF5VRRJSv6JlcVIeiZ3XRPaDofklw/rzK0Ly/FxVF1AyJduXMmfz0Vav46dev89OPHOGna0Mj7AghhBBCCCGEEEIIMSLUYUcIIYQQQgghhBBCiBGhDjtCCCGEEEIIIYQQQowIddgRQgghhBBCCCGEEGJEqMOOEEIIIYQQQgghhBAjoldopsRE5X9jM/iRwETBt5gVf36ZIBqd+bNwfrodJzIeALmFZmRMy4xE7rzuKfxIMu7VBBFvnLz46YLoKpZPw7jp6aXLc9MVguAt1qLIo6KIp4J988glgJterrmT8h+5RYnJzFSGS+FFehJFfxJFpBFFkhGFINMz2pUwSpAoPIwo8syTJ/x0EVHEMlEUJdH+4UVjEpXlxQtucsmmvfnz66ikuxwODnJkKvjRikTRtJ4l8aNuenjw091dBJHGRMeIKFKV4NgJi+Hne/68ZpqXlyt3XhP+LhYGtRIdBi+rtOSml3DiR6lyEKzn0mV+NNirC/hRqo5nBQIAkpOBTp346wQApKf/GwKcRxS5SZ+onqJ5RfWqbxQs0TkuWL+/jw83vXgQ/1hYs4a/+rt3+emiYu7ezU/nRRkEgISEEtz0BQs006pOm6ZaCFixgr9CIO+RxkR16OvLTxfUCTPhty0y0bEgIpjf0kq/qLJCvGuqKMqlKBosL0QnIA41LdoHgsh7xS6PAQBYpqfzl1NRXcdFda5vFDlBOcuWLcNNnzKFvxpe4PVHT/jHx+3b/HOzU3FBuyWKRCciCuUoqnM991kxhWA9sYJQ06Ib6lOnlP/Npc4zMpR/vKD0olVXqsRPFzWvjvzbTnGkadG+FNy/6hshWngNE9xPW1rwI6+nluVHg3UH/5oNG872OvEjR1smvOKm16ih+RwDAOeuVwcAJCcL2l8V1XVctO8F+yYjgx8Z+OJF/mqSkvjPc93rC8onul8X3LuJonxblNRMFxzGQCx/W61vX+Gm+9biPyeJmm/RYSy6NzxwgJ9+/jz/nm7UKP787/pznyVsbCzR/TPBcS+6nohOaF666JwStX+ixkV0HIjuN0Q72VDRv2NiuMm2Ufz2OL1GPW56cp1A/nquneHn27SpZprq3iqR32/xbyFyOcdF9S3YVuH8erYhwmdvUZ2I8hUdC6LnQkG+xTjHTjFRn0oSvyyeTvxrT3Lpitx00SaJTpMdO/jp2tAIO0IIIYQQQgghhBBCjAh12BFCCCGEEEIIIYQQYkSow44QQgghhBBCCCGEECNCHXaEEEIIIYQQQgghhBgR6rAjhBBCCCGEEEIIIcSI6BUl9sgRwNoaaNyYP10UKEQQdAXlPQSRSEQLCKK9mPIip4oi14kihQiisF19wo9MVrw4PwrlmxR+ukIQTXDtWn76tGlVuemOolAkgn1mV5wfeQoZ2RHUMgXROlVUEQV5kc9E4U8E+1IY8UsUelQU5U0UrVAUSUYUnUgUAa9dO376vn38dH2jHIn2A6/8orBTAqVWTeams5tdAQAJSUlwbKhlBa9eAWlpMBdE0I2K4h/foqBCouBv7jaCY0dwfu7dx4+mJWqLRBF4Zs7UTJsxgz+vqJo8PPjppg/ucdNLCCKSxmdYc9Mdk/hR5Hx8+Ofylaf8KFVPbir/myoIbCdJSQFMTfWPwGqIaMeic1CfKGaAuLL0jPDoXJYf2W9Mf350rKlJ/OvDnj38bEVNy9Kl/HRRMMSGnHNYoXAGADDGj7KptlIHB/G+1DMyqHAfCwovE9116BsVXHR9EDQ6oijLojaqsstLzUTRTY6ookRlFzWYovNEFOVNdS3U9TouOMdfmpXipj97485Nr1KFn42rFT/qJsDf946KtxppVl7O3HlFAere2jXgpjsnRfIXEFxjEjMsuelmgns9azPBPhfVoehYEKVfvsxPV0XeE7W/2awTY2CNVHTtqlmHoixF54Jok17G8NsaGwf+8eToImhDRAUStVGi8J2iqISitkXQ1lmLyqPvQw5PtWrcZNGm6kwVFljUTgvay2rV+NewkBD+aq5f56fb2Hhz0zsGCSJfCspjGfWcP78+O0jUvgoijJre/IebXlFwP9ChA79NOHuWn23Xrvx00WNq58789HdVqqQ8Z7fv4Lev1arxIwCLAq26F+e036JjW9RYCPZ9pgP/ODNP0rwGAECkRTluuofgUmv++D5/gqAOhQTXSMtrF7jph2L41x+gCTfVgnOM+PkpIyAnpuUSCTotDTA3F7f9omdg0TO2iGg9onNQ1F6K2iIvL37648f8dF44eUDc18BrW0TPN6IHOsE+EN0et63BuV8E4DerBDd9ypR/11e/Pn+d76IRdoQQQgghhBBCCCGEGBHqsCOEEEIIIYQQQgghxIhQhx0hhBBCCCGEEEIIIUaEOuwIIYQQQgghhBBCCDEi1GFHCCGEEEIIIYQQQogR0StKbHw8kJ4OBAXxp0+YwE9v04af/jrDnpvuKgqdc+gQP50X5UMU2UYUba1WLW5yiiDqjyhoiSiAqShI1eef89PnzeOnT+8vyFgQCcc9TRAi0iI7+qiowNliTDyQauIA95LpmhNF+1gUvU8UYUvfqISiaC8iopBIomNhwwZ+etOm/PRjx/jp+kba4UVmFZVRtI9FUWVVZUlO5k9Xef5cGf1JUMZGfqX5y4kiRomi/qQIjmPB/B1bVeCmh7/gR/abNIm/el4Aq4sX+fOuWcNPt46J4E94EcdPv8sPEe3o58efX3A+vEnjR4kNqMCPwubhkR15ShCkTZKYCDCmf8RW0bHJO29F576o/RFFwRKd+6IoVaIIYaGh+q1fYNy4Ztz0Vq3484uaCtGuF6Xnxy+/msLKylS4qVWq8K/LLi78dAdBGUXNrqiJUrh4ctNF56coMGvtavzonatWmXPTx47lr0deXDO6l6koXKboWig494XXNlGUS9GBoGrQcjtuzcwAMzOw4vyorw6C4oiiwVqnvOZPuM6P3ulapw5//rua0essMx7y5/UI4CaLosd+t5QfqXTgQP78gmDemDaNn96/P/94KieqC31vGuvW5aerjgUdr+XuvMisgijwyOJfx/39+PM/f8GPTilq7h1F1xJRY3H7Nj9ddP6ItkuUryCiZaIT/9ixF93P8NYvOpcFrG9e4qY38lFGVEzI7UKuiiApuhYKrqmi21rRcS+qW9Elu2RJ/nWj9s1g/gKiuuXdLwnOkVQnfmRG6zeCCLR6Ru329a3OTRfd0q1dy09/KGjqVLfTjGk/zW/eVB7yosi9N2/y0//+m59+eodm5YYl8fdl+ceH+SsRtGfmgujIoijzaS71+Osxkeu1HuEBK0rXM1xzp6b8KLeZdvxo5+axmtFELzxR7uPcmnTExwNyuf7PzKLjW/SMKto3omub6CIs6vgQ3X+L1iN61hDdaPOeR0XRYEXXDEGD5n55L39+wbNGuTeCkzx7XybkWun/0uvIlMszcfLkXGRk8MMbk/+ehw/vY86cyUgRNQTkP2fdvn348/jxoi4GKSSxb99i0m+/4Znookj+c8LCjuLixcVFXQxSSDIyMjBr0SJcuXKlqItCCsmdx48xdcUKpKdzfmwl/zmMMazauhV7RL8Kkf+c+Pho7NgxCcnJgh+MyH/OgTNn8PuuXUVdDFIE9BphN3my8hdCS8uOsLDYUyAFIsalbVvlL1gtAmujbevWRVwaUtC8O3VCXGIinB0c0OWjj4q6OKQQlGvfHgBgLZPhu//9r4hLQwrakiUBiI1VjoSqXr0PrK35vwST/45i/v4AgM/u38eWLVuLuDSkMDTMHkoYGBSEoPr1i7g0pKCVaNgQqWlp8CpRAh+3aFHUxSGF4NtvlUP6mjVzQe3ao4q2MKTA1erZE48iIwEA/du1g7Ul/w0j8t+Up2/Y2dvPMnQ5iBGrVasePmrGf/WL/LfEZb92sfmnn4q4JKSwfd6pU1EXgRSChIQXAICPPppBnXUfmOnTZxR1EUghah4QgEa1axd1MUghSM1+hWu96Hs65D9JJjNB5cr9i7oYpBBEvFDeuy0YPpw66z5AenfYDRy4D2ZmlQqiLMQIeXuXxZ9/noSF6N1y8p9iYmKCGV9+idYNGhR1UUghsba0xJNDh+Dq6FjURSGFwMTEDFWrdkVg4A9FXRRSiI7++SfKly9f1MUghcTfxwcHf/0V5ub8b+2R/555EyagGd27fTCsrOzx66+RsLJyKuqikEJgbWWFvh06YHT37kVdFFIE9Oqwq1t3MCpVal9QZSH5JJfLERISovP8O/78E2VzuYGfOXMJrK2t81s0UkBexsfj6Vv+R0/fxRhDm3HjtM7TtGZNfNu3ryGKRgrInTtXIZcLPrz7jsePH6B2bcHHVrPNHj0a3qJIAMQIJAIQBC/g+lbrVDs7d3TosDA/BSIF7F50NBJFX3F/R0JGBvx27NA6z7CBA9EiMNAQRSMFICsrC1dFAUo41h84AP/PPtM6z5Jvv4UFddYZrecvX+JZ9oiZ3CgUCjTPpb5bNGqEkf37G6BkpKBERoZAodDt3k0uv4XkZO33br16zYezM927Gav4+HiEigIscMyf/7XW6aU9PDDvm2/yWyxSgG6HhSFZx2/+v01MRFk9PkOk1zfsqlSZj4cPxQHRtmz5998xMWvx+PEAuLh8itGj/4KnZwN8+ukeWFn9+wpO48b89XSsJYhEUqMGP523c0QjwgQRQeQKfrQrUSQ6UWAvPbMVBpErXpyffvRxOW56HRfgypUQtG7dAC1btsOWLfsgk8lgYaHe2Zaeno5Ro4aiWbNpGDgw9176r79uBJkMWLtWc/htu3be0r8zMjLQqFF93L9/H7UrVMCZa9ew7Mcf8UW3bv8uoG/ELxFR6CPRTq7AjzAqjJAjinh64AA/XfR9GFHoJlEDzotOJFp39oHTdtky3Hj5EpeHDUOAlxfg5aUx66nbt3Hy6lU0CwjAhTt3+OvL9tekSbBITVWGg86l7KevX0fQiBFoFRCAkPv3YW9ri6OLF6N86RyRZEURy54946eLoh8JTpQHMTW56aIAe7yIaD9PFETp2bSFny6KlCQ6bgShFqNT+NHT3E34x6Wbm/LBrlu3OpDJZIiISIGVlRVSzTTXM2nS9wgK6oAOHRrxy5RDvwYNlFGYROdhjojEXy9Zgt/27EHH+vWx9+JFfNmiBZYMHAjTnMcubz2iyFuiKFIP+NEmhZEWRee4qNND3+hVgiiX1uf5wVkaCOa/e5c/irFdO362yibnJwCzAfwBoA8AzeuDXB6O5OSfYGc3B7GxK/gryzZ58mVYWzsIo6PmjOqelPQYBw5UgoODP+ztUxEVFYFFi46hRo0m0jw1PTSjngHA4Zv86HJl7F7xMxZEYPTx4UeLO3KEv5rQUH4nhSgKqOi0NY3hbJeoPRNdyEXtWS5RXSvNng0AiJo8Ge729twIZCvOnYOdhQUOhYYiOpfOvZ+7dQPu3oVMcNzb5tgJK3buxBczZ6JL8+bYefIkmgUEYNeCBXDIMQ+rxo+SKBM1vNeu8dN57UJpfiRyF0E9iTa9Rw9++r59/HTRqS+KlFsuTXAtFbWjWo6FU5cvo+XXX6NHq1bYNH06ZDKZRiT4lNRUDJs6FbP79EE/UQjPHOr6+Cjz5O3jHPcJKSkpCGjQAM9fvEBlHx+cv3ED66ZPx/86dpTmifbg17enlSBacMhZfrpgH7xs3pubXkLU3ov2sb7Hn2D99k8FdSu6Z+T94CWKKO3rCwBo+sknePzkCa6fO4fqVatyH6yO/PMPrkRFoZqvL67eusVfX7Y/f/oJZklJwjDcV1/82x5fvHgUX3/dCg0btsWFC+dhaloMbm5HYGZWRppHdIs2Q/BWvegSX9vmHn+CqC3N3j8aeEGxBPf81jGCaLCijRJF9BVElnTPiOamvzbhR+H+9utUpKamwsY1APb29oiNjISFhQXOXdMcDLFkyVh07twDGzbwo2Ln9OOP3WFvD1y+zJ+e85F5+fL+OHNmHWrUaI/r1/dj1KBBmP/jjzDJWXGxmudneS8rjTQAwAtBuujaJnqoFTS85VNO8ucXVKGQ6MAU3RCIntsEUUBFx5R58QxMnjABS9euxY5Vq9ClQwflhHc6CcIePcLvv0/BuHHTcejQH/w8sp2fNw8OWVniDogc59T9Z89QcehQ1CpXDm/j4hCVkIBjI0agQc7tEK1H9CwtandF4Y45z6MAxBFbRZF+Rff3oqjdvHZddC0RddqIbgxF+yx731T95BMAQOyRI3B1cuLeQCxZuRIWTmWwfft6vI6P56+PI0/fsNNFZqaywXzzZicYk+PZs7NISHhaUNkRAJUrK8NmHz16AN27t0dKSgo6d26Dw4cP4ODBfdi2bTPCwx/jjz+CsXLlSIPmzRjDP//8g5SUFJzJvjkK3r3boHkQTX2yr8h1ly7F8/h47AsJQceff0Z8cjK+27gRz1+/Rs+FCzFt5Uo8i+bfZOSVapTXkStX8CYhAREvX+Kf+/cNmgdRZ5Z9QWaMoXRp5c3el18Owm+/LcKNG9fxyy9zAQDz5v2sU2edvv48q3wQ23vxIgBg2bFjSMul84HkV+fs//YFsBXAPbx9G4SsrEdISfkVmZmXkZLyG9LSViMjQ9CLlWcmUCjSERd3E5GRYcjMzEBICEUhLGi1PD0BAB5Tp4IxhllHj2L4jh2ISUzEuL/+QkZWFr7YuhW9//gDETqOsNZVWPZHrf88cQKMMZy4fBnPKYJ0gQqopPzMzJYjR9Drxx+RkJSEVgMH4viFC9h19Ch2HDqEOw8fYt3u3fhhzRqD53/33j3Ex8fj/I0bAIBNBw8aPA+irk/2a201GjXCq9hY/Hn+PD6dNQsJKSkYt3Ytot6+Raeff8bE5cvxIjbWoHlnZWUCAM6fPwjG4pGV9RCZmYIfwolBqN5USkxMhKWTEwBg+vS+2L17Ge7du4Jt2xZCoVBgy5b52LxZMJolHy5f3g4AuH59PwBg4erVyMrKMng+5F9dszvpug4ejAPHjuHm3bsI+vhjPH32DPOWLME/N29i9q+/4o8/VuDyZcGPHHlkIpOBMYarDx/icWwsUjIycEr0QzgxmHLZnZRurVoBAKbNmYMxEyfixcuXmDB1KrKysjB8/Hh88cVneP48Qq916zXCTleZmTGIiVkNU1N7WFn5Izk5BPXrf4/ixfm/0hHDsLGxQdu2H+PgwT2wtLTEuXOncOzYYRw7dlia5+1b5cP1hQs7DZr3tm1bIZPJ0L59B+zbtxcAsEaHX4FJ/nSvWhXfZt9cZ8jlGBocjGevX6Ped9/h/osXuBMZifa1a2P18eP4OnvUhiFkZWVh2rp1kMlkaFuvHg5cvIiPAgLwWcuWBsuD8H3//U+YOVP5/bGoqBdYv179Aa53734Fku/Fe/eQmJKCWr6+uJb9i9rOb76BrZXgl1ZiIDlHkSoALEJm5mkkJHRBVpbyAdvJ6RhSU+cjIaGnQXO+f38+AKBkyY548ULZrvfv/6NB8yCaprdpg/arV0v//91e5b5f8vffAICm5f4daX/fgJ1pz2NisPXIETg7OKCUuztuhoVh2rBhqCgaXUAMwtHODs3r1MGJkBBYmJnh8MWLOHr+PI6ePy/Nk5D9uZPVopH+ebRh0yYAQMf27bF3v/Jh/rfvvjNoHkTT/3r2xLTse7KsrCz0+/VXJKel4UZ4OB5HR+Pl27doV6sWdl68iO9//91g+WZmZmDNmhkwNTVFvXotcf78IVhZdYK1NQWdKmgTx4/HjNmzYWNjg8fh4Th8eAMOH94gTW/fXhnZWS4XvOGSR/funYZCoUD58g0RFqZsU/avXUvfJi9g9WrVkv6dJZdj9pIlOH3+PD753/9w7eZNWFhYYMvKlVi9cSMGDepi0Lxn//knAKBj3brYmz0Ec3x2JxIpOHOGD0eX8eMBKAe1TJ6lDNK6YOlSAEC7HM/IUVG6fRJBpUBG2EVHr0B6ejjc3YfBzk75OotMZoLDh7/Anj09oVBQr76hJScn46effsTBg3sAAC9fPsfRo5o3dn37/vsdjAYNPkXnzmMMkv8PP3wHxhjmzp0vpf0TGop6vXph94kTBsmDqLsbHY1PN26U/n9vaCievVa+onI/+9soe0NCcOae8pWE+KQkLP/+e4PkfejyZZy+fh1Vy5bFkOxXZ5JTU/HTmjVoNnQoogz8izBRNv4bN66WOuucnJyxZctajfk+/7y/9O9q1WphxoyFBsl/xqZNSE5Lw/T+/eGR/QpJbGIimk+fjl+yH/SIob0EkPN1sYsAHgGA1FkHAMnJM6V/29gY5hxPTo5EWNgSAEDt2oul9P37gzFkSH08eHDdIPmQfzHGcOT+fQzYulVKW37hgsZ8Mw7/+yNcdGIignsapqN26fbtiIyOxuhevVDT3x+A8pf6AZMmod/EiVCIXiUneZaYnIzxixfjRHaH3JOXL3GU845b3+yHAADo2bw5hme/epMfjDGMy+6c+/WXX6T0izdvol6fPtif3UFMDOvm7dvokuNbwbv37UNy9rvdj7PfhNj499+4mD0i5k1CAlYaqBP19Om/cPPmBVSt2gCtW/cCADCWivj4KXj1qgXkcrp3M7SsrCwsW7kSM7I7aG1tbbFh82aN+aZO/fdaX6JEPQQGGibi765d05CZmYauXadLn0mKevUKTbt2xdL16w2SB1H37MUL9Bw6VPr/c5cvIyL79dlr2Z91ysjIwKLly6V5xo6dYpC8w54/x+rsb4bMHzRISl9x9iwazJ2L2zp+O5PojjGG/WfPYlCObwYs26k5MOqHHNOTkhIwf/5qjXlECmSEXfHiQ5CUdAkvXy5AiRLKD+VcuPBvIdu2XQ0TkwLJ+oNy5855XLjwF+7ePY+HD0OQlZUFa2trpKam4tq1K7h27YrGMkePHkSTJkHw8+uEjh1HIDU1Ebt3z+esXT+rV69Fr17dMWfOLJQsXhwvYmLQJ/sG4++rV9G5efN85/GhS0lPx9azZ3H69m2cv3kTYa9fo4zzv9+EHCn4OE9SWhp6tmmDET16oFLZsvhi5kzufPpoUbs2hnfpgsV//ol/wsIAABdv38bF7O8Upoi+gUf0EvrwIbbt34/zV6/iwvUbSEiIh5tbccTGxiAu7q3UeZfTmTOnULt2ABo1+gijR0+EQiHHxImj8l2WmQMGIDwqCj+uXYva5ctj/6VL+HzlSgBA2MuXGN2eAhLlF2NyREfvQWzsMbx9ew7ALQA5P6T6K3e5rKwQWFh0hpVVX1hYtEBKSv7PcRsbL9SuvRRXrw7Dw4f/3lTOnv05ACAuTvAtOqKXqIQEbPrnH5x78gTnnzxBVGIifN3cEJP9va+hnJu+kMhIVClRAvW8vTGlTRs4WFlhAOcBUF9fffYZroaGYmZwMIZnf+R+4m+/SdNXTJoESxqVkW9/X7qEvceO4XxICEKyH96sLC2Rlp6Ov//5B3//84/GMofOnEHz+vXxad26GNapExKSk7F41658lUMmk2HzH3+ge+/emLtgAZzs7RGXmIg+PyivK1fu3EF73odfiV6SUlOx5exZ/H33Ls6PGYNH4eEon2OU7DDOh+QZYzA1MUGvVq0wumdP+JUujSE//5zvsjRq1A6ffvoFdu5cjoCAjwAA6elHkJ5+JDvf1HznQYDQ0Dv466/tuHLlPK5evYjExES4ubkhNjYWr169wmTOxwBDQo6hYsW6cHRshXr1vodCkYnTpwUfm9VDr17zsGRJd/z55yT4+jbA3bsnMOhbZXCqt/HxGKbHh+8JX1ZWFnafOIHjly7h3PXruP3wIVxyPJ/NyXEdzen67dto3/5TdO/eHw0aBGLevCn5LotvyZJYOGQIRq1ciXU5BswMzQ408CZZ8N1uopcXb99i0/nzOPfgAc6HhyPmzRuU9fREXGIiAODruXM1lgm5fh3Vq1RB1RoNMWbMFNjY2GLMmEEa8/EUSK+ZhYU7bG2rIz7+KNzdh+LFC+VFplOnHShfvjNMTEwLItsPBmMMa9f+iM2bf4KLSwlUqdIYP/74M9q37wx39xLYtCkYMTHRMDc3h6kpcPfubTRo0BgtW7aBj08ZyGQyqM5hmYwfbENfjRo1gq2tLczMzNApKAi/b9sGAAjbtw++go9IE929fPMGraZMwd1nz1DDxwdt/Pwww9sbnStVwqM3b7Ar+6Pn1iVK4HZkJBxtbFDfzw+dAwJgbmYGWfbNYYLow9d6srK0RJNq1bD4zz/RuXFjTFu7FgAwb+RIfNW1K6wsNYOUEP1s/usv/G/MGNjZ2KBh7dr46qtv0aJFO1SpUgN//bUN9+/fhaWlJRwcrHD16hXUqFELgYHNUbNmLchkMun73omJgo+k6qlqmTLwcHZGUmoqBrdpg/2XLgEALkyfjvq5RJsmuZPLU3HtWje8erUftrb+cHZuhMTE4QC6AEiHMuhEGgBzWFu/AmNxMDdvCkvLjyGTOUptuUJhmPqWyWQoXjwIMpkJ7O3Lw8LCChkZaWjatDO+/341HBwEH+omOrsUEYG2q1YhNTMT9UqXxoCAAHxUvjya+/ri1KNHOBseDhOZDDbW1rgaGQlfNzc0KlsWLfz9lfWdPeItQceIsrkpWawYKpctizP//IOvu3fH3D+UH8He/csv6BgYqP6BcqI3xhi+/eknzF+xAp4eHmgcEIDuQUH4JCgIbo6OCN63D7FxcTAzNYXCwgL3Hj1Ckzp10LZJE5QuWVJZ59mjIwx179a4USNYW1vDzMwM7Zs0wcYDB2BtZYU7f/6JMtnfUiR5Fxkbi5ZTp+Lhy5eoWaYM2rdujaaNGuHjdu1wPywMf+3fD5lMBptnz3DjyRO4OTignp8fOterB1MTE8hKKINFJBjoIdva2hbVqzfCzp3L0apVd6xcORUA4OS0BLa2gyGT0b1bfm3evBYjRw6Cg4Mj6tZthO/GjkX7Nm1QtUoVbNq6FQ/CwmBpaYkXr+wQGhqCChXqoE6dj+DrWx0ymQyqz3+np2capDze3jVgb18MJiZmCAwciLt3lQ+AV/buRZ3q9Kmq/EpOScEno0fj6IULqFi2LBrVqIHRw4ahS4cOSEpOxoYdO5CZlQVzMzO8ePUKqampaFy/Pjq1bQt7OzvEyJUBEQx1ry6TyRBUtSoAoEqO5+8+deti8WefwUkUVILo7ExoKDrMn49MuRz1fX0xpFMntKhbF4G1auHY5cu4cOsWTE1MYOPlhas3bqB82bJo0qABmjVpAplMhpdpys5cfepcrw67gQOVgTMWLOBPV93LPX78GLVqzce3347B+PEucHUFKleujZ9/Vn9Hu6LFI/6KouL46aKPm/MijugZzc1U8DFGGz/+qBFRAJEvv+SniyLijhnFD/HdtCm/U/PYMeD48fXYvPkn9O8/C59++i1MTEywezewZIlUCmn+hg0B7+xgrleuKP8AYEAv5QiohATtI6GWL1cGjFEFuMnp6xwRqC9dmo0XL6KRmvotHBznAAAe3ryJcjm/fSMKZSSqK1E0FlG0FxFR+DdRRBpRNCNB9C1RlKDodgO46e7VrvLXc4zzMffbt6FQKNBl5Uq8jY/Hja++QhV3dyAkRBke79o1VARQUdUAm5r+G/0oLg44elT5b1U95PZgl5wMMKYRoU6Sva3J6ekYt3gx2lWvjpo5RlyMKVUKyO7IASAOsZf9kW0NomhDgqhCotWvWsVPr+jHOd+WreXPLIr8KDoORBHksj8w/C530UgVDw+E/PMP+n7zDXp37YoVCxbA0tISOHECeP0QOP0QQ5xMgHpV/l1/LeXFGSlvgHPK48g6O2KepbmOFwTReZjd7u4+fx4nrl/Hnh9/RGam8kZyRa9eqO/qqr7tvNfm9H3QF+1j0bkpOpdF+YrSReeHvh/rFUQl9PJqxk0PCgJ27vwGcXEnMGDAflSsqAwb+1QtTtO/v7TzmhzVQJi0NEDbm+9lyypgby++jqsOA8YY5s0bjWLFfPD55z3x7bffISMjDePHb4WJiYXUIcw8+NFgGwqukcgSHGeCi2qZx/xIvF/UceKm37GqzU3v35+freizLk+zNLerTh3+tpqLzv1q1fjply8jJiEBHYKDUalkSfw1dChc7eyAjz+WZmmW/QdAHN1Qda7l9jCfkQGYm4uP++wIlaGRkVi8dSsm9egBm+zoZR/Vro1OAQFqEeJkD8P46xH9ICT6RAInmjJzK8ad1TZE840BAMJvaN6Oq8pN37OHXxTR74qiXTZ7X2Vu+vhekdz08KxS2LhxGeavWIEff1yI/v1HQCaToUzSv9E/h/Xp8+8C168DtbOP5efPlX+AOPLeu6ytlTdvvPvmHO3TjCVLkBAfjzEtWmBi9ojpB7t2wcvdXTq+3F9ojvgDIK5X0Q2y4BpT4sFp/vyiG2fRNxVF1wHR+SP6/qPo/ke073n3MwkJkMvl6Dx+PNKysnBnzRr4ly797wF16xaqAKjykXKUmzByouo+OLcOWlUbILiGqW4LExMTsGzZd+jYsQuaNasoTV+27Cu1+TmD/gCIA6qK7rm+GyhYQLQvRXXFa1vUL5D/EnVICO7FhO2W6B5NkG9SaXeEhJzDyJGD0L37YEyduhgWFhbwRvbH5V+9Qu/mzQHVG0cpKQByhohXPquUHqGsl8REYPFiCO3YoTzNsz+TpcHaRPl8t2nLFoSFncfR/fvxMioKvwPYuHE7Kn/UATnHU1pf+0tzJaL7YNG9kqjBFL2GKbrvFEVrFR2Aokiiom9+iiJKi44F0T2gnR2+mj4d569fx7ElS/CRar3ZJ5yDoyPGjRghzc67vrlvUP4wZp2qfXQry8oCsrLE+zi7PVYoFBj522+oUKIEuvj7w9bcHMmZmQhu2BBmOetB9Cwtav9E6fpGYBV9WkO0XaI6cXDgp/Pa4+y3vzSIIt/muBdTU6sWXsTE4ONhw1CralXs+vVXODk4qD2ztPT3h/SlOsG2qpoifR6N9HqKOnBgExhjwukPH4Zh3Lhv0KBBLbi7e2DcuO9ga2uL+vU/Qnj4fdy4cVGf7IjA6dObUaNGC3TtOr7Af/GOjg4XTlMo5Hj8+C/89VcrXLkyDbVqjYeTky9GDB0KExMTDBw6lL55YwBP4+NxITISi9q3V3bWFaDp27YhS87vRAaAmIQEzNyzBxXGj8erxEQs6KX8Bso3TZtCJpPhj6uCzkiil+179qCYqytWLVyo7KwrQJdEHdpQdtqcu3sXvebOxWezZ6NDQAA61K2LdnXqwMXWFrOOHEFM9vBvkj/Xr29C06ZjpM66gjJr1kAkJ4s7cdPSknDy5ApMnFgdt24dRu/ei2BhYYUhQ5TD+9eto6AThnD8/n3EJiVh6+DBys66ArQ9l2+RhUZGYsTy5aj7zTfwKV4cYz75BG6OjmhYtSquhIbiGkX/Noi9ezejefMOGDBgpMFGyIlEaglGkpWVhZ0nT+Kjr7/GnA0b8OOAASjt4YGx2d9VG5gdnZjkz4Nnz3AtLAy/jRyp7KwrQLM3b4Zcy71bVNRLzJ07DQ0aVERiYgKmTFG2561aDYOJiSnOn98qXJbobt++bShRohRmzFha4EEdIiPF99uMMfx95gy69+mD/w0ahG5duqDFRx/hk06d4ODggClTfsAb0Q9NRGeMMWw+cgTf9ev3b2ddAfli8WIkaenUS0xNxdLjx1F14kT8/eABFvfpA3MzM/wSGAgAmHGR+mAM4fDZs4hLSMCOhQuVnXWFRK/enpkzh2LChJ54nf1he5U7d25j4MA+qFLFDxs3rsfgwV/g5MlzsMu+CZ0zZyNSUpJw/Din957orUSJcnj+/H6h3FB9+21jHDu2FsrohCppALZh48aKOHCgMzIyEtCixXrUq6ccWu/v54dpEyfi73PnECn6tYzorJitLewsLHD/VcF/M2rBX3+h6fffI0z1a362yFevMH71apQaNQrT//oLrapUwcXJk+Gf/brGjLZtUcbFBZsEI4uIfsr5+CAmNhZx2aNcClLrCRMwZd06pGf++/qFQqHAievX0XTcODQeNw5XHjzA7P79sXX8eMhkMlhZWGDboEF4HBuLC48fF3gZPwQuLuXw6lXBd4yEhBzFwIE18ODBGbX0pKQ3OHJkIUaP9sbatUPh5lYGEyacQM2ayuHVH33UB3XrtsOxY+vpYd4AymX/Kn0/+yPzBWnw/PnoO2sW3uboXGeM4cajR+gxfToqDh2KLX//ja87dMCZ2bNhnf0jwfbp05GQnIy9584VeBk/BKVLl0N4uJ6jdfOo4aBB2HTokNq5mpqWhk2HD8O/e3d0+e47pKWnY9O0afiunzKyeDU/P/wwaBCOXryIV2/fFko5/8tKurrCysICDyL5oy4NaeaGDWj+zTcIfyevJ8+eYcxPP6FmTW8sXjwbrVp1wNGjl+HtXQYA0KvXHDg5eeDCBeqwMwRv73KIiXmB5GTDfH5Gm8WLW+Lw4ZnIyDGKVi6X4/jxowgKaoDAli1x4+ZNLJgzB+uzo47b2dlh9eoNCAt7gGvXQgq8jP91MpkM5by88EA02tOA9l66hJrDh+PiOz+yxyYkYO7OnSj1zTcYsXEjKpQogdMTJqBFZeUo8EFVq+Kj0qWxPjsAIcmfctk/vjx48qRQ89XrldipU9dg7tzR8PMrhU6dPkXx4u44ceIobt++heLFi2Px4mXo27cfrN4ZNunm5o5Wrbrgn3/ops8QatRoif37lyI6OhweHoJXAwykXr2OWLhwAICZADoCiAGwF0A8HBxaoFWrjXB3D9BY7vMBAzBx2jScu3gR3vQNu3yxtbBAw9KlcSo8HN8HBRVoXocnT8bnv/+OCkOGoF1AACqWKoWLoaE4c/s2bCwtMaFDB4xs1Qou74wIsTY3x4CAAMw5eRKMsQIfPfBf1zIoCAqFAmcuXsSnvPfRDWh89+6YvnEjft+7F10aNQJjDHsvXcLz169Rxdsb+yZPRtvatTVG8zb394enkxPOPXqETvQdlHwrX74Frl3bAIVCXqDfef3tt3OYP/9LzJrVFL6+jeDr2xAvX97D7duHoVDI0bTpQHz88Q8oVsxHbTmZTIYOHYZi0qSOiIoKR4kSBXvt+a8L8PGBg5UVToeFobnodR4DWTF6NMYsX45dZ8/i0yZN4OboiMNXruBuRARKuLpi1YgR6NOsGSzNzdWWK+nmhvYNG+LcrVuCNRN9NG7cEjt2BCMm5iWKF+e/Xm0oLevVQ+9JkzB99Wq0b9QIL2NjsffsWSSmpKBtgwbYMXOmFAk4py+7dsVPq1fj3PXr+ISCheWLo50dAvz9cerGDYzu1q1A8zoweza+XLAA5Zs3R4fmzeFXpgzOX72Kc1evws7WFmPHTsLgwV/D0dFJbTkrK1sEBvbHiRMrC7R8H4omTVoiMzMTV6+eR7NmbQs0r2bNRmHfvomoUGEJOnX6FJmZmdi/fw+io6NQrVoNHNq7F61atNC4H2/btj3c3Nxw4cI5tGgh+CYE0VmLgADsOXMGCoWiQN96Ozt3Lr5YsgQNxo1D08qVUc/PD3ciI3Hkn3/AGMPnQUH4vkMHeL3z2rDJ/9k7y+goki4MPxP3hAhugeDuLO7ubou7w7K4LbC4y8KHw+Lu7hLcgi/uToy4zPdjJiFAX4ZAkonMcw4HqOnpvtPlt6ruq1LRJW9emuzaxatPn0gVyzv6Ezsl8ufHwtycY+fP81v+/HH23Gg57CpWbEjp0jU5dmwhO3du4/z5sxQuXJRRo/6mcuWqWFjI239TpkzH/fs3f9lgA+Dtrdlp9eTJjVh32PXosYCaNXswcOA/wA7AHugNNKdu3Rzi95ydnbGwsOBdHOwKS+wEh4by3/v3BIWFxbozrGjWrFyfNYtVp0+z+uhRNp48Se6MGVkxYAD1fvsNu+/ESkpnb49vUBDBYWGYS3EpDPwQntpYPDdu3451h92Q5s1pW7Uqc7ds4ci1awDUL1GCFuXKUTx7dlTCbiqVSkVaBwfexZCQSVLnzZtbfPr0hk+f3mJnF3uT+VSpMjJ37kk2btzGyZNLuHhxI05OGWjSZCpFizbByUmIpQS4uGjiDnl5vTM47H6RNz4++AQGcv2r3cyxQdNy5aj9228s2LWLnWfO4OPvT/EcOZjSpQuVCxfGVIoPDKR1ceGcFMfIQLR4+/YVAHfvXo91h92SYcPo1aQJ8zdtYtuJEzja2fFHixY0r1KFrN9ZRE3t4oJKpTLssIsBAoODuf/yJRZxoKxcMndubi5bxorz51m7cyced+6QJ1s2Vs+YQZ1KlQhKJQT8BRwd0+Lj886w2BoDeHt7AZo6HtsOu+rVR/Lbb+15+3Yux48fwdjYmEaNmtKkSQsKFy6ClbFyu25kZESqVGl4/94wP/tV1Go1Nx8+5MXbt3j6+OAkxUmMATKnTo37tGlsOXmSpQcPsvH0aVxTpGBmx440LlmS5N8JQZVO66R7FxBgcNj9Iq/fvycwKIgb94RYvrFEtGbVeXKGYWfnROrUw2nRYvgXn71+LcemdHSECxfcSZ06+xcxXt1KZFa83vT9OcV0MbBhaOi3adogyt8gFWgheG6WwM3K1/u7KSZv7SwE1pQ67FPKWWAuBOUvbHOLJkv60LhqVUY3dsXISOMErdlX+fZiQEWEYNhf8eEDJE9eEij5zWefRS6+ZM5EuOrhQWBgINmjruBKCgHStlIpgLB0ZlxyHEh5Lt1fasykQPhCeorwV9G7j9Iui2PHmH3pEs+8vdlVty6qiOPoCsG6ATmCZTQGjNYWFnQpWZIuJb/K85AQ8PBQ/tLHj7hfvUpGGxvMowZnld6llIdSIGLBAZjGUTmeQxoH5Tzfe8D6m7Tq0ruRbJeul9Kl3ypMmsIvX6Zp69YUzJqVvuXKfW5Ypbos1auI7+kKSG9hQbYsWZgzZIjy54IQiO+zZ3g8f059N7cvg3crtdNSHZQCCEsBuKV0qQ2RjutK70yH8MY3VKqknC70P1VTKh+NMn57jDt3djN16FD+aB8IaGKHTtnkqni90muL2Hyry3/asycYGxvz338N0SjQarq/u3dh7Vo52PiNG/D0qTsqlTFbt7qxe7cmXXqVUozf/PmTKaa7mAkB7KVYXEJ6rtzK9TDkuSBYItUrhbY0zCiD4qUBZaoqpls+Fo6gVKpEzx49SOHszJRp0yKVoZ4EKztxMqQW6k9EAOkfmGSndHRkdIsWjNbGHY0kPFyuP/7+uJ87R64UKcDd/XN6kybK1wuF4UXyAorpjgpNrOXTJ8r3FgQ8AsKVY3x+3Kd8m4IFldNrCKEjhw9XTpd0k8YuT6eYXq/eM6ZNG0rTpr9Tq1blz1n2UWhbpH4joo3SsSim8vKibMaMlB048NsPpYDuqVNz9vZt1Go12aytPwsASCIPEUoGXxPdsZXQrr96q7zTOJWRcgzOez7KMX6zSOMladIizTWkfkCpscufn6lTp/Lex4f9mzZBxE4M6d1LAd0jxgmSCFsEoaHYWFvTo3dvekQJch+BjZWywNypU+acOuWOg0M2Tp/+3I40aKD8GCnLpRjtd72U8ySbs9CuXxSOaSqNbXftipYxV/y/3VEKUCCTEHpE6kyFcUuam3so060dxbNnZ3jxbFjf2a/5IJr1IV1qjaCDj47OvHOjj9jZpoCP/eDPfl9++OK+2EYEenpy984tOtarg+XLKOKPSjHtJAEPqf2R4uJJooMSksCY0nwfZME6ab4l5YnQVjzxVxZD8riwiSMXLzJvxgycoorkCHaqDh38NjFi7iD9tsgvqzAxNaVJ/vw0UdrZJcWjdnfH/dUrzFQqMt6+DRGOJqnSSnMZKU+kdKnNkuYD0b0+Qmnta5RCcUnlVRJO2rRJOd3IiC6TJ5PG0ZHxVap8bs+lhlFo1y1PaISWQqKh/h27igVanj+/x+3b56lYsXlcPC7RcufePRr1749/QADj+/SJdcGJX2H1+vW4ODtTMZaPcCZm1Go1y27eZMy5c5RPl45qUoMQDwgOC2Pjo0c0lwb2Bn6It+/e0X7iRO6/eMHQVq2ws/7WwRhf2H7nDgGhoTSTPDYGfohDJ0/SaehQXJyc6N+hg77N+S6vX6/ByakKZmZO+jYlwRIQGMiomTPZvH8/nZs1I3MGZSdgfOD6q1dcf/2a5nF47CMx8ubNDdq1a0xwcDDDhv0dr3cxrT5+nDROTpSWPJIGdKJWq1m4fDkTZs6kWsWKlC9dWt8miYSE+PPw4VayZDHMz36FV+/e0WryZJ6+fcuIFi1E9er4wKa9ewkNC6OJtEph4Ic4enQv3fv2JV3atHTv0kXf5nyX1e/fUytZMuwMp59+Gr/AQIauW8eeq1fpXqkSGVyUnbixRZx4fA4fXouVlS0lStSOi8clOj56etK8SxdylCzJi7dv2T5nDm7xOC5ceHg4azdupGnDhpgYGoef4tC1a6Tr2JH2Bw9SM2NGlleJ33Em9r14gWdwMC0zK++aNfB9wsPDGT5mDCkyZ2b7qVPM6dOHBlplp/jKmuvXKZU+PRli8QhAYubm3bsUrV2byi1bkiZFCg6sWBGvJ/IBAU/w8jpNqlQt9W1KgmXxpk1YFyrEhP/9j8FdujA4ng/y11y9iqOVFdUUYp0Z0I2f3zvWrWvIvHl58PL6yLp1u0mbVnkHXnwgNCyMDadO0bxMmXi9IByf2Xv6NKmqVaNL//40qFWL/02frm+TvsvjxzsJCflE1qwtdF9s4BtCQ0MZOG0aqcuX59CVKyzo1YvqRb6N6x2fWLNzJxV/+42UcexwSCzcvHmVGjUK0K5dDTJnysSerVv1bdJ3uRsQwGU/P1pKO4cN6GT+oUPYdOzItD17GFG/Pv314OyOE2/KjRvu5M9fDnNzy7h4XILG09eXqevXk7VoUVo3bcqtu3eZtWgR67QNgvuqVaSM55XuydOnvHz1iurx3MkUXzh57hybdu2iW4ECZHBx4diNGzScNImA4GB65MvH3PLl9W2iTk6/eUM6a2tyJVM+7mbgM8EhIczZsoXgo0cZ2LcvL16+ZOvOnfw9dSoAB6dPp3AsB6H/VdRqNaefPWPQ18emDSjy35Mn/LN5M/UbNKBk4cKcu3KFDgMHcvfBA1IlT86xtWvj/eKGl5fmSKSzc+zG5UkMqNVq1q9fw53TRxnSqRNh4eEcOH2aTiNHArB0wgRa1aunXyN/APfHj6no5oZZPC+b8YHAwPfcuDENH5885MnTnDdvrnP69BRu3doCwL597jg5xe+x272XL3nv40N16dywgS84cvEiO06epGezZqRyduboxYvUGzCAsLAw/uzVi8l//aVvE3Xy6pU79vZZcHBQDvNj4DOBgYHMWrIEVVAQA9q25emrV2zYv58py5YBcHjiRPLF81MmYWFhnL16lfF//KFvUxIEt//7jwUrVlCmahvy5SvK5ctnGDCgLc+ePSJz5uwc2bs33i9uuPv6ogKq2tvr25R4j1qtZsXZs9z18mJonToEhoSw38OD7suXA7C6Rw8aFSumF9viZBT2/v0LsmYtFBePStDcf/6cLK1aaf6zahVjp0/nwePHWFpaUrtqVWaOHUtKKZ5APOLlK03sNkeD80Yn0xYsYMCYMQDMBqzMzfEPCiKDiwttK1RglBSzK57x0t8fR3PlWEIGPvPJ35+CnTtzTxtjYezkyQQEBGBsbEyZkiX5e+RIClvG/4UNv6AgfIKCcEwAtuqb3adOUUsbGG7WunU4Ozry/uNHnJIlo0OzZswZMybeO+sAgoJeolKZYmwcf49pxwfUajUtWjRi+3aNo2bykiUYGRkRHh5OvmzZGNihAy0SgLMO4KWPDzmk+DQGIvHyus2WLZojpB4ecPjwcDw9H2FqakWOHPWoUWN2vHfWAbzQxsh1tLXVsyXxn3FLlzJi4UIAZq1fj4W5OYFBQbimSUPHunUZmgCcdQB+fi+wsBBiyRqIxNvHhzyVKvFMGzf074UL8fn0CRMTE8oVKcLEfv3IJ8XkjUd4ensTGBSEo+FkhE627NpFw/btAZi9aBEODo54eX3EycmFFi26MHr0bIyMwvRspW5eBAdjZWSERTx3LOqb8PBwas2fz96bGm2AiTt3olKpUKvVFMiQgaF16+rNWQdx5LDLmbM4Fy7sJygoEHPz+HuuX98M1nb+EZQuXpw5EyZQrkQJLCMmxlIA7nhEoQIFMDIyYu+BAxQvWlTf5sRbvLy9I511EQxr1Ih6xYuTI21azfG4Y8f0Y1w0KebiwqoHD3jp70/qBOBU1hcLduyIdNYBVChThlZNm1KtUiUcIgZQUlDqeISNhQU5XVzYd/8+XeP58Q99U+/PP7/4f9vGjWlYvTpF8uXD2FgbVF1XsOF4gL19MdTqED5+PIqzczV9mxNvOXbsSKSzDiCbqyv9WremVrlypEmhHIA9vlI0XToO379PcGioYZfddzh37kulFlfXCtSu3YQMGcpgappwxrzFsmYFYN/ly+SP5zuF9Mnbjx8jnXURjO7UiXrlypE1Q4Z4Hdrga1KkKM7Dh4MJCHiHpaXhiKTErCVLIp11ABWKFqVFzZpUKVEC+wgHt1Kw+3iGs6MjmdKlY+/x47SRlEUMAEQ66yJo1qwT1ao1IG/ewlF21SkL38Unitva4hcezilfX8pKYkYG2HvzZqSzDiBf+vT0qFyZWvnzkyoebECK3gjsyROwtSWbs4Pix9mqKU/UL17Myu7di/nvv63Urfs5sKkk6pJDcvIIah4BNt92MpbSqnB0HV6SkdJKinRcVXquVsHmxdu3bD5xAoDODRowp107zExNNdfcjqI0JzlDpN8rKeBFqMLpUCEyMpKFRyWevHfCysqGyTNn0bD5qEgnbTbpmEWUTvALpDh9kgKwNKGI7i41yR7h/gE5lXePBgYq3ybCB3fixNHItFGjDjK6R75vL5YGAFK+Sio7EcYEKSuF/fB9hHdQVut4mHzmDDNz5Pj8gaQ2JJVjKT2aSk9Bjspqi0r+z+p5o2lLdBWUtMq3fv7+rDt1CoAyRYqwacQIXCKcdFFVGqOrkCrV4Yj64+ur/HkE5uYaJSOpwAoTN5fgYLbfvcubAwdIEfWdfDXIAeS6Gd3AzJJjSzpCLK0iS+239C6ldy+p0Grrz9k7dwgN06zAzu/Wja41a36+JsrAQCo7bdsqq8S6mHh+m6i13cf8+/n94MF3P0YKueTionHMXr/+Nw4OVVCpNB3Dli3K10sCXpLg1+3QLIrpOUoI9U3qmASVuhBHZWeZqaTmrZC3xsJg11KrjB0eHs6uJf8A4GBry9n588kWtR+LGMMIfaGV0Ky/Ck2jmJ6qoLZc6lKQNDHR/JHaLmHc4pohA2uuXmX/+/fUjmqzUG/vPTZVTJfM0zaHX1ChgrIIx9UTyveIbtWMKuQXlYqllPvGtMuVd44fOqT5++PHJ7x4oZGkLVu2F2/fTiMw0JSLF78UvFRqFgHCMyqPH54aKacXSK9VitfVrtvZgbW1cpspVELb168xMzZm8qZN9MubF/OIdrt4ceVnSOVJal+lsZvQrqdKrjwZDjIS1GAfn1NMD8gr7IpIqdy+Wlqola/XDiB2Hf08djs2YwZlU2nHG6GhnxtYSe1UeDfP3JRDn6R7rlV01CX/HVHHJVX37MoLa+7uJYEwliyZAYz//jOAy5eV0xWEaQG5KPBRKDvSWE9p/ieVP2EsI+qo+Cir/z7RtrufPvny7/Y9AJQuXZntU8eRTOl4oaQ6LHV6kv0R6rG6FCS9vCAsTJ4naPulr3E2NWX97t3Mr1WLZFGFzZT6N2nsJo0XJSVoqROQ3sHTp8rpkqK5JH4W3Q0E2jnFiQsXIpOWTZxI2759o1wUEvmvIJRPmfgLQ9VkSh1WhKiTrjbdwUHTpktKvAIltQsI458+pUzUBQXJeSfNvaV5ZzTtiZgTfYM0h4qqUB8VqT9RGnxK5UbbQIWFh7NROyZP6eDAyf79cYtqT0T7K6kLCz4edXrl8YwqohzoatejECf7I6tUqQtAr14tOHv2eFw8MkFx8dYtirRqRbqUKbm6bh3/Gz78s7MugZI2rSuBgQHky2c4Mvc1arWadetGMXNmS8qVa8369YHky1dJ32b9Etm0nf6sJ0+Y9uiRnq2Jf7x4/ZrSzZpx5+FDdvzvfxxfu/azsy6BUk3b0aV0d+dDSIiOq5Mea48fp9ywYZTMkYO3//5L1+oJO/abSqVxXISEnMLbO2H/ltjALyCARkOGsGDrVqb17s3HAwe+dNYlQBpqd8/WmT6dc9LiZRLm0aOzTJlSFCcnV4YNu0njxrNRqRL22C2VnR2e/v5YDBigb1PiHeHh4QxZtIgOU6bQsUYNgvbvp2w+hYXWBEV+7d8TgPl6tCN+8vz5Exo1KsmbNy9Yvnwv//57QNlZl4ComCsXAI7duuETEP93iMU1y7dsoVLbtpQvXpwP58/TNoHvRLTULm4e+PSJps+e6dma+IePvz91p0xh1alTzG3XjlcLFnzprIsnxInDztHx8+rtjRvC8kwS5YOXF+U7dyZtihScX7mSfNojCQmdatWaRP47LCz+n/GPS/bsmcuGDWNo2XI8vXotx9Q04cd+MzMyimxM9rx7p1db4hvh4eFUbdeOdx8/cnr9empXrKhvk2KEvFFWUr0SwJHOuOT4jRu0mDaNxiVLcnjcOFwS+AA/AjMzjaMuOPiAni2Jf3SaMIH9586xffJk+rdokaCOxUmkiFJuPQwD/S/w9n7F7NkVcHFxY8CAc6RKJW3fSVi0jhLiQK0WdpolUaZu2MDEtWuZ1q0bC//4I8EvrGuIuqhuaNejEhYWRqtWlfD19WHLljOUK5c4QkEUypgx8t++BofdF+w/eZJ2gwfTpl499i9Zkmhi/ZXR7jTcrGs3fhKk7fz5nLhzh92DBtGjalV9myMSJw47OzsHLCw0nUKgtI02CRIaFkbrkSNRqVRsmz493qu/RoesWfNE/tvf/8e3fCZ2PDyusHbtcMqUaUnDhkMSxaQugira8its/k+yDJk6lZv37rFmxgzyRT0unMDJHuWowasfPWqdBHjr6UnHOXPIkyEDK/v1wzxRTOo0mJgU0LcJ8ZLV+/ax9sABJvfsSe3SpfVtTozhEkV8wN9QxyMJDg5m5crfMTExp1OnbdjaJp7YX7lTfQ4nEWjYOR3J+fPnGfvvv3SsUYP+jRsnqrEbRBwhM4zeojJ2bH+ePHnAvHkbyJIlcTjkAXJGOXb82ttbj5bEL15++ECXkSMpnDs3C8eNwzQRjd0KaePgG2r4lyw9epStFy4w4/ffqRrPd0vHicPOyMiIdu00AQ7q128ZF49MEIxctYr9Z86wcdIkUrskngEfQPnytTA1NaNy5frY2iaO3SW/iqfnR9q0aUjKlG507vyPvs2JcTqnSwfAUEOw6kjWubszeeFCpg0ZQulEJs6QydKSYra2ZLawoLghkC0AoaGhtBg7Ft+AALYNG5bIJnVgadkZAGvryXq2JP5w9fp1OowfT5saNeiWwI/OfI2piQm9qlTBSKWiqRTHLAkybdog7t8/QadOWxOVsw6gkXbS0qJQISyl+FJJjHfv3tGwUSNyu7oys0cPfZsTC3TW/m04Bh3B8nXrWL58NmPGzCN//sQlnpcjTRrypktHzjRpKJBBOcZWUiM4JIRmEyYQGhrK5rlzE93YrYs2hM3sVMrxvZMi5+/coevixXSuWJH25ZVjiMYn4kz2y9PzAylSpCZ16nRx9ch4zczt25mwcSOT+/ShaokS+jYnxgkODkKtDidnTkFoIonh4+NN48bV8PHxZvz4w1hZJT4Hx0vt7tn8BucNAPuuXaPNggW0qFOHflLE8QTOp7Aw8tvYYGKQiycsLIzWEyZw/No19o8eTaboit0kAMLCNMciTU0NO+0A7vz3H1UbNSKXqysLBg2KohyXePj46ROuLi6kTCRHg36VhQsnsmLFTBo1mk3WrOX0bU6M4xsUhEqlokAaZaGTpMbHjx+pUrUqwcHBbBw1CmvLxBiX+RWa/Rt5dF2YJNixbx+d+venSZP2/P57N32bEyv4BQVR3M0tUfZZ0SU0LIwWkyZx7u5dDq9YQXpJ+CQB80y7W7pAdIXeEinXHz2ixvDhFM6UiTnt2iUIB230HHaPH2sUSqQz0IJSSDoTExokM2Xdm5dYbZuDc8QxC2nF9rWDcrogN2Rp9O22fb9w5V1d1mZeyveWBqNSYyYp50hqQFGcGMv37qXfokUMbN6cAWXKKKuXCIq4ooqKpBIkKeScPav5W8cR5SpVwNZWWaTFzU35Oy4X9wJQJlcunl/cR7aHWrUzC2FLudQ4Smqt0tFhKU+kdyblufQuhXTLl8qyi+/NMgOa4zPNm9fi/v17rF17mJ07lZXJcuf+dqU+iySxJcUMk3a3SWo6XxMYqCnzUrmQFG28vKiiXY2/9uoVlSJiH0nqQdLKvZSuQ+HnaySFwBo1vk07Gq6867e4sFnGMlg4QhCljru7u1O/fXuqVKvGsuXLUSn9LikPJRUiqaOV2qiINkSXClF4uOaPdB/Jnty5qeLpyY7Hj79U6FIqaxEqWF8TrKzOJtZxqX2V6r5Uf6TfJDmbJQWyKIH4e0yezPqjR1k3ZgwV3NyUFbUkO4Xy7SLVw7x5v02LKB86jrEVL64xQ1LMk7r3T59ArS7Bvn3WpEp1lcyZNUI50iuTmlepbl69qpx+1kJ5B0C7VsLvFMqxqZdybM0PZsorzk5KTWkUicQX799TsUcPXGxt2TdlChYq1TflOaS48vFYqUpGt1n0/qRR5/bR/i0SUcelB0vKfh8/UiV3bla7u+Pr54dthLNCKJdSVy51wUrDkwNCGK0oYZe+QKpSHTsqp9uHKygsAzfvJ1NMj5qlGzfOZ/r0IXTqNJLff++leH01IczV1KnK6VLeSl3n4MFOAPj66jiulSWLpnIqjVukwdvZs9gDxdOm5erjx58bA0mxURhvqB2dFNMfeimnZ86oHOc4JFy5XJu/F5SdBZEXaYx27VNmxfR8aTUvPzAwkOp16vDs6VOObttGWum9KT1XatCEvifd8zPK10dUHl0TyoAAzTVC3bQ9tFUxXd3zCB7v35NvXTinGnakZMQOnJ49lZ8jLURJojRXhYIsNQpSX6s0VpDaLaFSmZspx2T0tfg89j516jiNO3akRo06rJo3CVNThfHeCWX1VRGpMkuS1RGNmtS4RRAxJ5fmi4JyJTY2VHFz4+TDh19+V2mMKc0ppPGrNKaLrlqrlLeSPZJ8sTRA0ZZjtVpNx1mz2H7mDJsHD6aUmRl4eHx7vfB7zYUx6anXuRTTkyf/1imeWzvcVZvpiGdubKwpE9JcQHpnJiaUs7fHVKXiWnAwpSLmZ9Jct3Bh5XQpb6M7CJQ6PWkOUkkQZZTqlVQftDx+/ZpKgwaRzsWF3YMGYaZUzyRFXKncHzmimKyS2rOIOVE0YgrGmWs9j1bG94rU8ScBHrx4QfuJE+k4eTLta9RgYteuCcKr+7PkzpCBKw+UB0pJgfDwcPbs2Uzt2kW4cuUsy5fvJk+exLvjMKO5OVZGRlzRJUWfiHn//j1Dhw6larVqFCxYkI0bNmCWiI8V5XFy4qG3N15JOL7VaQ8PqvTpw/+2beN/AwfSuEIFfZsUa6hURtja5sLb+4q+TdEbAUFBzNqyhSLao3GHJk9O8IrP3yNi7HY1CY/dHj++y4gRrZk0qSdNmvSga9fR+jYpVsmTIgVXf3SRLxESFhbG+q1bKVypEldv3GDf+vXkkVY4EgFZHBwwMzLiShIWDHv37i0jRgykUaMaFCtWgqVL1yaqGGZfkydVKu68fYu/5IRJAhy/cYOKw4ez4sgRlvXuTZ1ixfRtUqxholKR3dycK0lYZMQvIIBpmzZRvE8fLM3NOTBhAskkJ2c8JM4cdllTpMDC1JTrkkc3ERMWFka/OXPI1qoVe8+eZUq3bsz/449E7awDyJ8pEw9fv+ZTEmwg7j58SI0aBenatRGOji5s3HiCwoUT39HnqJgaGZHb0pLr0spEImfevHlkdHVl9pw5dO/WjV07d2KRyLef53dxQQ3ckla6EjEfPT2p+ccflOralVcfPrDp77/pWKeOvs2Kdezs8uPre0PfZuiFfefPk+n33/ljwQKqFCrEqZkzSSnt4kwk5E6bFmMjI24kwbFbSEgIEyb0oFGjnFy4cIQBA2YxYMDMRD92y5cyJXffvycoCap/379/k3xly9KsUyfSpk7NqV27KFwgcYcAsDQxIVuyZFz/8EHfpuiFuXOnkzt3RpYuXUD37v1Ys2Zbol5oBciXOjWh4eHclXbhJWLe+fpSZeRIyg0diuenT2wfNoxWCSCG2a+S39KS60lU+HPHmTNkatOGwUuWUKtYMU5Mm5bgFlrjLIadkZERxTNn5sjt2/SPx7K5sUH/WbOYt2ULEzp3pmeDBlia69j2mkgooV2RPObhQa1EvHLxNa/fvaNymzaYW9uzefMpihQpqW+T4owStrZs+viRcLUao0Q+qYnKslWr6NmrF926dmXMmDE4JyLF5++Ry9ERW1NTjjx/TokkFMw2KCiIuq1bc/vOHTaOG0eDcuWSTCyYZMl+4+nTRQQFvcXcXDjWlAhxv3CBeqNGUaFAAeb07EnmRBjnRglTExMKu7py+NYtulWsqG9z4gy1Ws348T3ZunUp/fpNo1GjrpibJ+4FmAhKpEtHaHg4J588oVJm5WOjiZE3b57TrVtlUrok4+z+/RQrVEjfJsUZJVKm5PDz56jV6kTvkI7K/PnzGTr0D7p168OgQSNxTOQLMBEUSJMGCxMTjty/TwHtLuqkQEBwMLXnzuXRx49sGzqUOsWKJZnyXsLamrWenniFhuKg67h1IuLY5cs0HDOGGkWLMqtbNzIm0PjScTrDaFCwIPtv3uRtNM7sJmTUajWjFi1i9oYNzOnThz+bN08yzjqArGnSkDN9elYdPapvU+KM1+/eUaVtW0LDwli9+mCSctYBNHB05HlwMCeSSB0HWL9lC5379qVzp07MmzcvyTjrAMyMjant6sqqu3dRq5XjwyQ2AgMDadKpExeuXmXH5Mk0qlAhyTjrAFKkqIVKZcKLF2v0bUqcceHqVWq3bUvR7NnZOnp0knHWRdCwcGF2Xb2KZxIJd6BWq5k5cwgbNy5k2LCFtGzZN8k460Czwy5TsmSsunZN36bEGW/evKBbtyqYmJhyYOPGJOWsA2iQOTP3vb05/+aNvk2JM/7991969e5Nt259mDRpZpJx1gFYmplRPUcOVl26pG9T4gz/oCAazJ/P9Rcv2DNqFHWLF08yzjqAOvb2hAPrpRjOiRD369epN3gwZfPmZdOIEQnWWQdx7LBrUbw4oWFh7FEK6JjIePvxI02GDWPMkiVM6N6dbvXq6dukOEelUtG8bFm2nTmTJCbz+0+coGiDBnzw8uLQihWkSpV0Vq0iKGVrS1ozM7Z5Kgf2TkwEBATw54gRNO/QgWYNGjA3EUrB/wjNs2ThrpcXd5PAIOD6rVuUql2bg8ePs3X5ckrkSXqqemZmzri4VOHNm+36NiXWCQ8PZ96yZZRr2JBsmTKxfcwYzBP5USklWpYoQVBICAeuX9e3KbHOu3ev6NOnPkuWTGLQoJnUrdtO3ybFOSqViuZ58rD9zh19mxInnDixi1atihAQ4MeCBYdImSKFvk2KcyqmTYuLpSXbJFWgRISfnx99+/aldZs2tG3ThvHjp+nbJL3QomBBrr54wZMkENLkytOn/DZpEifv32dHjx4UkgRkEjGpTU0pb2PDNm9BOC8RERYWxsz166nYqxf5s2Rhy8iRmCbwXYXRs/7dO/Dzk5U5JJUg7ZlpR7UaR3NzHl69qlE6kbbhSmoy0oRQ4RyyFEbr8SdlxblcaQXfpaRKKATkfRMQwLStW/lnzx4szMxYP2gQTUqXln+TtKIjBUKU0qX7S+qaEbFJdMQocfR6iF2YLb+lV1hdviN07P/8E/nPbC9fEhQSwqsZM0gtqaW0aqWcLjWoUpBUKcaOpEYlUVAQhhDuc/zWLcaMH8+RY8eoVKECSxYsIH369AQIRadvX+V0xayQFJGkAi4pJUWoA+oKMBsSorlGKhfSu9SuWqiArA8e8DAiTVDOkdSxvFPnUEx/KmzYy2Plq5j+XhDxUoqbvmeP8rXbtimn58hhwrFj/2Pfvin4+XnSsOEEylX5k+UrlNsQNzdrxfRy5bIppqtu3VR+sBT0XdrdFdF26Yop6OuruVZqX6WYF1oV52xaVdKHjx6RPSBA+XnlyinfQ2r/pHZXQupLJLUo6f7C6tutu3f5e8YM1m3bRvYsWTixfTuF8+eXVdgklS2p7xRiafilzqKYrtTUZQvU7obRoQqcO7dGpEsyUVLjjBAWB/Dyysb16xv57Tc1RkbKTmppbCQ1QVIxk7q82/eVA4LnSO+g/AUhnqTT1W93GISFhbHm5k3GTZrE7bt36daxI1P+/hvrCIX7rxHqZnTfQYrkgorhJ+V3bGulUddUhSurbEZiZqb5I8XUlMYP2h+QwskJG0tLHvj7a/oAoZ+xljSVhB2J9hm/7WdCQy0Vr5U2bUtVUPKr2ht5KaY7Bj1iyoIFLPj3X2xtbNi6eDH1qlUDG+XJzTMfe8X0rl2Vn3vihHK69LuqVFFOj2imdYl/ExYGoaGoc3+7qBCaXXmhwTTK2CerkxNeJ07wvmlTnCXxMEGVVepKbgihLx0dldVgk316pvwFKfaQ9DIVdr2r1Wree2xlzJQpnDhzhuqVKrF4xgxSp3KUpaylH6ZU2KSd9kpS9RDZn4r31rVQEBioGQtIBUMaJ2gbWGPAzdFRU8dtbPBNrTw+sf34RPk+Up8qNezSeF3ogIKy5/smTRqmWpspK4h7eX9iwYL5TJ8+FV9fX6ZOnU6fPn0xuX5V+UbSO5dU72vVUk6XxiFSnkR0trrGbp6eEBQkzkfFjkY7js+aTZPHD8PDyZA8uXK5lwYE0thN6mOiqx4rvRupDpYpo5h83deXcZs3s/HMGfKkT8+pcePI7+oqv1spr4QBU1haZZ9CRRvlejJjy7fXR7xKX+XpTCTq/AVQ29kRnl9596/xof3KX4zy7rPu2MHhhw+hUaMv5upfIG0wkvJcUomV2kCpjEh5K43vFcpmaGgoqxcuZPzSpdx79oxeTZsysWdPLCXRICm/JRul9kxqjKQBypYtmr+jEfM9TnfYqVQqKqVJw4FEGrx4o7s7WTp3ZsHevfSuXZs78+drnHVJmPLOzqiAA4lQfeqTnx+/9+5NuSpV+PDxI5vWruXA7t2kFwaxSYVKyZNz9P17gqPrdEkAvH59nuHDc7Fp0yDy5KnBuHE3qVFjUJI6Evk1btbWpLe05EAiPEoTFhbGX7NmkbtMGU6eO8ec8eO5fOiQxlmXhMmcuRLe3s949+6uvk2JcZ6+fk3JDh1o2b49rhkzcvboUf6ZORNra2XHe1LA2NiYCvnycSCRHp9avW0bWUqXZun69Qzo0oXbR49qnHVJmIraCfCh48f1bEnM4+PjQ7P27anUoAF+/v5sW7mS3WvXkjoJxWFVolKGDBx+/JiwRDh2O+3uTu7cORg5cjj16tXnxo3b9O3bL0meioggd9q0JLezS5Q7p0PDwhi2bRt5//iD8/fvs6BzZy5MnKhx1iVhKmXOzH/v3/MkEZ6Cevj4McWqVaPt6NHkcHXlwsqVzBowAMtEIv4X5/sDS6ZMyfZz5zRB6eP64bHIymPHaDN3Lk1Kl2Z+9+44SivxSQxnMzOy29hwxdubtvo2JgYJDw+n+u+/c+XGDVYsXszvLVsm6Y4/KiUdHfkUGsoDPz9yJKKYjW/eXGTTplJkzFiQP/88TPLkSScY9/dQqVSUdHLiSiLcZt/7r7+Yv3o1owYMYEifPoleOe5HyZBBo3j96tUVILt+jYlB3nl6UqR1ayzNzTl96BAlihfXt0nxhpK5cvH32rWaoPT6NiYGWbRuHZ2HDqVVgwbMGTsWB3vlnXNJjTSpUpExfXqu3rhBs0QUlD40NJRK9epx59491i5cSNP69Q1jNy0l06ZlrLs7z3x8cNK3MTHIaXd3ylWqRLFixTlx4jQZMijvikpqGBkZUSJLFq5IJ7ESMJ1Xr2bl2bOMb9GCAXXqJPjjkDFFSW3Zv/LqFYmpFrx8/ZoiVauSzN6ec8uXU1Q60ZeAifMSnNnOjqCwMF76+ZF4hgAw/8ABirq5sW7gQEPn/xWZraw02+wTEdfv3OHU+fMsnTaN1tKR3iRKZu1OlMTmsLt5czHGxhYMGnQMU9PEsWITU2S2tubkhw/6NiNGCQ0NZcGaNfRq04ZRf/6pb3PiFRYW9lhZOfPxY+KKd7T58GHefvzI3c2byWpw1n1B5lSp8PH356OvL06JaPIz799/KVO0KCtnzTKM3b4ic8aMPEhkk/mLV65w4fJl1ixeTLMkGFv6e2ROlgyAB15eicpht2jJEuzt7Tl06AimpsqhFJIqmVOkYHsi2zntHxzMMnd3BlapwpAGDfRtTrwiubU11mZmPEhkcQs3bN/OR09PLh86RIZEGjM/zje5ZdLuPHuo67B2AqNktmyJcpUiJshkZcXDROawy+HmhoO9PVekoCxJmFQWFpgbGfEwkSkKpk5dipAQX96+TVxOipggk7U1LwICCAzTEUsrAWFiYsJvBQpw5aYQUzCJ4+iYKdE57MpqlSEv3r6tZ0viH5m08R0fvnqlZ0tillKFC3P11i2Ds06BTBky8DCRjWvz58mDtbU1VxPhMcBfJb2dHUYqFQ8TmYBUyRIl+PDhA88TaTimXyGTiwuP379PVMegrczMKJg+PVcN+f0NKpWKTMmS8TCRHYktVawYAJcTsahpnDvsMkY47KTgsAkMtVrNiVu32Hr+PKWyZzcM+hTIZGXFI39/whOJ1/uTnx8zFi3Cy9ubUkWL6tuceIeRSoWrlVWicth9/HibGzcWYmmZnBQpkp66lC4yWVujBp4kEsd8SEgIa7Zv58qtW5SS1BmSOInNYffq/XsmLl+OibExxRLhcYpfJZM2vtdDKcB5AkOtVnP0zBl2Hj5sqOMCmTJm5OETQWQgAeLj48OU2bPx8/OjlGEH7TeYGRuTztY2UTnsbty4wdLly0mbNm2Sjy+tRKbkyQkNC+N5ItlxFRwaysqzZ7n58iWlMhvC1iiRydGRh4kkvwGev3zJtPnzMTMzS9TxpaN3riEgQPO35GyTAq9HUSixBNJbW3PpzRvaSuoZUqMqKJS8+vjtsTtJzMTFLkj5AyNldcCv1c0OHz7M8pUrsfT3J5mtLXvd3bl+/z75smZl4dixsrKIpCAiKZdIE19pxUDKE+lFRDiadDlVjh0DS0tltSTp3l+pAWU1NycwPJzbs2aRS+n6Ro2U7yPFTZGUSqVjOpLKkaBaFGDjEvnvkJAQpk6dyJ07t0htZY5/QADrdu/GLyCA/u3a0bhCBbhzR/E+lkK8q2ySnTYKaklvBUUaqXxISkwRdS1EWT0rEi8vjeqUtNomKfd+VU+yPn7MJT8/WYK1e3fFZPunyqveeYTnBhkpx4qUxHWVBIHy5v3y/2/e3OL06ek8fRqGnV1yHj06z927x0iWLA09e27gzh3lfJXCm0mCdiK6lHy/RlKPjWhzItptiYAAUKmib2gUueOs79/DyZNcKl6cbGPHfntt587K95DKmVD3Q0yUFSSlKqWSftNXqlZLVq7k0PHj2DunwNTUlC1bNvLy5Utq167LH2MnQ7jwDqW8kgZDQlsh9Z1GLZRVYrO9VggE/59WGllHftevD9bWUKKE8uemwcp9QokSX4oufPqUlQULDrB3bzDGxt8WfkkYWBDiFYXJJKEx0TcsVcQolf/tu3f8PWsWH728SOnkxMOnT9lx8CAW5uYsmjyZzAULKve1kvFCeZWKh6hRI0yUbaXxg5XQB3+NiYnmj3QfqR5GUZy0B5Lb23Pp1i2aWirXQwQnSAjKx9BM/b8dt+TJrTyGundfeTFU2uT+dbPo4bEPd/dVZMhghZ2dA0eO7ObevVvkzVuYIWOXyY2IkFnpTJR3Gl4PVBYukHyCkv9T6sMiunKdm5k/fICgIFQK42xTYdx57v5XByGt8uPl7c3DadPIpCS6smCB4n2S2Si3QXVrCO84mgrlvij3+7Zmn68PCgpiwqxZ/PfwISmcnfHx9WXDjh0EBAYypHdvapUrJ0tQR1HL/YL795XTlRopQa3VO1i57rwNV3YuZIkoZ7qOob95oxmrS+9S6pOOHPniv1nVai7dvIlt24bK10t9uTT3kcbr0VScNA/+9lTW45dfloM7d66xcuUsrK3BxSU5Z86c5syZU6RLl57ly9cTEKCsRmyVu4BiuqmRciXz9JFUjYWTY1KDL83nIhoFXWO31681712a/0llIYpkdVbtdy/t3k2Ggwe/vTZCzfJrpH5WylfpHUh9UtasOq9Xq9Us2L6dE9eu4WRlhZFKxYaTJ3nj6Unj0qUZ0LGjPOeRniulCx2NsaCYjrDo16/rt3l696mmTdA1HVe9eI7KxxZjSVlXGtR9PSe/dIl/jx0jzNMTxZIslRupjkttkzR4k8qCtFAaZXzy6tUr/p4wAW9vb1IlS8Z/Dx6w68ABrK2sWDZ7NunSpVO2U2r/JFuk6yWVWKkvuXVLOT2iXQwSfFIK6CUQSeOMGVlx/z7TQkMxS0CxUHx8fKjXsCEpUqTAwcyMNx8/UjhHDqb27UulokU1SpGJaGUqpqjg5EQyExP+DQ1lor6NiSbLli1m7NiRlChRihtvXhEUHEzv1q3p3LQp6b9yUhn4TONChfh9yRIeAsK8I16iVqtZv745nz69IXlyV+7ePYqTUwY6dVpDwYINMDU1F9vfpEwqZ2dK5snDyv37aaFvY6KJ+7lzdOzdmwJ58xJy9z+8vLyoWbMOnTp1JW/efJqLfHQMnJMgDRo0Yvz4Mbx4sYf06evp25xoMeCvv9i0ezeF8ublzIUL2FhbM33ECFo3bIi9MGE0AI2KF2f1yZNMKFAA4wSkjO3r+55Zs+rj6JgOHx9bPnx4S4ECxfnrrzn89lt57cmIxKdy/asUL14VKysb/n3+nFHZsunbnGgxb+lS/po6ldLFi3Pl+nVCQ0P5o2tXOrZsSVrD2E2kcbJkdH36lBcBAaSRHPPxELVaTZ8+jfH3/0TGjOk5duwwrq6ZWbFiPbVr18PMzEz0xSRlMtnZUdDZmX/v3SOhRXs7evky3adPp3D27NwMDMTb359GpUrRtWZNckds1NC1SSEJ0rhUKaZs3cohoKq+jYkmffr1Y+++feTLmxf306dxsLNjzoQJtGzcGLtELvapF29Zy0yZmHbzJvuuXaOONmZMQmDrtm34+flx7PBh0ipt1TGgiLmREY1TpmTt8+eMARKSzuLq1SuoUaM2mzbtwPL5PX2bk2BoULAgnVauZFVICCP1bUw0ePXqGq9fe9CmzW5Kl66hb3MSFC0rV6bnzJm8BBLSdGjlunWkT5uWi8eOEWKVTN/mJBhy585Dnjx5efhwZYJy2Pn5+bF5926G9+3L0D59or+jNQnTsnRp/tm/nyMPH1JZ2m0dD7lwYRNhYSGMGHGKWrWEHT8GvsHS0pqyZeuz+sQWhmXJgkkCctKu3LCBxnXqsGHxYnkHqYFvaJIsGd2fPmXNs2f8Ke1yiodcu3aOJ0/usXz5YRo1qqBvcxIULd3cGHz+PO8BYU9UvGTl/v1kTZeO8//7HypduxENRFLYzY0sqVOz8uXLBOWw8/LyYvuOHUwcP55+ffsmuQ1SenHY5XN0pFTy5PRauZKKuXJhLW2z1DP7DxxgwaJF3L5zh4IFCrB33z4qVqhA2rRplc/WGRDpkjYtS58/ZyygcGAuXuDj68vClSv5d+t2TWDOTJm5cOEca9Zs0rdpCQ4rc3M6lCrFhKNHaQ4oH+zTPw8fXmHLlnk8enSclCnz8fLlZWxtU+HmVlnfpiU4Gpcrx1/Ll9Pl40d26tsYgdDQUFatX8/SlSv54OlJwbx5WbdlC0P69dPskDYQLbp160X37p14/nw3adPW1Lc5ijx58oR58+ezY8cO0qRMSVBwMCGhobSoX1/fpiU4imXJQhE3N7rv2sWNnj0xj4cnJNRqNZcv72XPngW8fn2PjBkLcvXqLvLlq4GdncFZF10aNuxO573/Mvn+fYbGUweOl5cXy5b9j83rV2Jqakr6NGm4dvMm44cN07dpCQ57Y2NaOznx1+3bNEmblgzS8Ts9c/HyZf6euYwrV06TI0cBrl07S5o0GSlSpKy+TUtwNHdz4+8rV+geFMQGfRsjEBwSwsq9e1m2axdenz5RMGtW1hw6xNgOHQyx46OJSqWiV61a9F64kPZARX0bJPDw4UPmzZvHrt27yZA+Pd7e3qhUKpo2aaJv0/SCXmYoRioVy0uV4vnHj7SaP5938VCAYsasWVSrVYvHT55gZ2vL2nXrsLCwYP3atfo2LUFS0M6OP4C/gZX6NkaBoKAgStWqxbAJE8ic2Y1bt26wdesmevToQ926CW2jePxgcqNGJAOaA3f1bYwCV68eYNCgoty/fwhHx0zcvLkZT89HtGt3AGNj5ZhLBmScHRyY2asXu4DRQHzct9SyY0fad++OpaUlvp8+sWrDBsqWLMnIQYP0bVqCpF27DqRIUZYzZzrz5s0J3V+IYx48eECBokVZsnw5ubNl48ipU5w+f56Vc+aQ0RCAPNoYGxuzvEcP7n/8SOstW/gYD0VmtmyZyN9/18TL6xXm5lacObMGKysHunT5V9+mJUhy5y5Or0yZGHX3LutevNC3Od/g5+dHpUq/MWHCaLK5uXHZw4Ote/YwuHdvalSqpG/zEiQz06bFwtiYZufPc1+IxadPdu7dS7EKFbh06SSpU2dg376NvH79nMWL92NsrBxfzoBMKisrphUvzkZgAhDfTg6r1WoaDxtGl8mTsbe2xtPXl1UHDlCtaFEGtUhoQVjiBz1r1qQ40B5w17cxCty+fZsCBQuy8t9/yZUzJwcPHeL8hQusX7uW1Ek0pIHelkcz29lRq0ABtl26xG9ZsjCwVi19mfINnp6ejB47lu5duzJ3zhyCgoI4duwYrq6uOEoBNQ3oZAAwCWgDtECPhU+BJatXc/PuXS4dPEi23yrw+PEjbt68QfnyFQ2rNz+Jlbk5Y4GOQHfgsJ7tiUp4eDgrVvxJtmwlaN78MEZGxjx8eAwzM2tSpjQoRP4sjcqWpTnwF9AKiE+H5tzPnWPDli38u3AhrZo04f2HD5w5f55ihQtjEg93CiUEVCoVhQpNYc+eohw5Uofmzb30bdIX/DVuHJaWlty8ehWH8HAuXbuGp7c3FUuX1rdpCZac6dJRJkMGNty4QQVXV7oUKaJvkyLx8nrLxo1jqVPnDxo1mkpQkD937hwnRQo3rKzs9W1egmWQmxuzHj6k+aVLNE6dGuN4NCZaunQBDx/e58wZDwpncOb+w4fcuX+fSmXK6Nu0BIutsTHDs2enn4cHfT082CUFs9cDYWFh/Dl8OJXKlWPGnAOoVCrOnTuKra0Drq7xcwdoQqCFmxvtjh9nKNAaSKNvg6Jw5NIldpw6xcZx42hUpgxvPT05e/MmJXLnNjhofxKVSsU0oCTQEFCWUNIfI0eNwtHREY9r17C1tub8+fP4+flRTlIzSwJEb5ZiZPT5j/S5EoJK0KK8edlx+TKD1q3jz2TJPjtGvpZt1OIdrhxQUMmHJoWlMTcRYllEOQs9a8oUQkJCGNmjBypPTyyAahGqqhHKIZLykbR9XDpCK0mESfeRVOqkVTDBwehpkw7QCGl8F19fTdBOJful7wqr7s5onHUr0OzAGRfxwdWryvcRvOhqlAeLKilPpHKpVbAJDg5mwty5NGvWjPzly8PLF+SwMyPHbwUh0FPzBz7Ls32NVNgePlROl9RklM7jSwqg0bUlQq3nR+M1SQ4MKV1wuLdH47A7gqZDiNTPO3VK+T6SVKRQT8yF+pA6tXKw5IgF9127dvDkiQf79p3AzEzzm377rfwX10qvShLH2rZNOV1aDJIE57JIytFSHB4pTyJUrXSpEFlba/5I6kdCe3zPX3lItw5opv1zMSLRw0P53s2aKacLv0kKGi29yxzpP9f9vyZOJHfOnLRo1gwCA3G2taV2Re1hAG1mmwcKgeclxSipXZfyRGqjhPtb+gj2PH78bVpEW69j15OlpaZ7kZqQND7KbY5U1x4+1DhsQkK8OXr0GNbW5QDo2FH5/mPGKKdLr0aKmCFG0tD2hfcePGD12rXMHD8eBxMTMDOjUMmS314v9cFK7bSQ3w9QVniU9CtcBBVNjJT7/TATc8V0Yx9t36SrH//0CdRqefwgNVJCOf7X358MQNedO+ly4cLnD4S2wlRS3VRqTIXym0UwMWr6oBETMTMzZumc3jgli1BsLKX9W/t/qc4GC3VW6AjUadMppjsIbdQG4ayZJBxdpYpyekQbqHNzY0RFj8Y79vdXUIIFUm3YQP1Wrdi6axeTCxRgSP/+mg+EuhPirKyUKylQi2MiocG3tdAEkg8ICGD27Cm0+f13Cudzg/Bw3PLnxy1//i+/IHXaUofy8qVyenQEaYSxt/3z28rpQkzIMCPNuwyzUM6bSGxsNHku9T1Suc+eXTG5z5o19AN2v37Nxy1biPw1FYT4cMJ9oq0SK43XtQ3+hnXruHvvHqtWriRnNgA1ObKW016kUXUNCVd24lh7CTtEbYR2URoToSMvvkYaTErzvAjVcV2yoRH2iW2a8FyF682AxWjG662JssAu9Y+CMrr4m6S6JuV3lHI8ZuVKCufOTcP69UGtJrmjI3Uyf9XnSg2ig4PO+3+BNLCQBplCnye1FZ6B385NIjb76zxs+PSpZqwuxW4TfpN3mdqK6RFu+NfAGeC3iA927FC+v7SbUWq7nFMopktF4b222b179yabNm1i8uRF+Pja8foNJHP+jWTOcP/R5+udnZ0U72Ol8BrMzQQfiaTULJVLKSyE5IOR+h6xbZHRa9AeF0tLHMw1A9H4tItp/Y4dtGzQgBQuLvo2JdHxp/ZvQfxcL5w5c4bnz5/Tv18/fZuS6FChcdxAtIc4scrmzespUKAwJUoYdtrENBHR/+LTYTkvLy8OHD5M3x49DLHqYoGUKZdp/xWmVzuismXXLqysrOjUurW+TUl0pDEyIj4GDdiwZQttW7bEyUl5IG/g5xnxp2b09kmXEyEOOXHyJG/evKF/nz76NiXRoQKqa/8dn6LYbdi0idKlSlE4AQkWJhQi3DrxaX72+t07Tly8SL/WreOVnyCxMFf7d3x6s7t2bcTBwZFGjQxjt6jodeaiUqlYoN22fkla7o9jQkJCuHv/PoUkr7mBXyIXUA44R/yZ2t28eRNjY2Py5cunb1MSJaO1f8cn6Y47d25SoIBhwBcbOAJ9gQ+Ap35NieSWdhtLoQIF9GxJ4sTevgVGRrZ8+rRd36ZEcvPOHXJly4ZFPBW1SsgYq1QssrdHBdwICdG3OYAmltnjJ08MdTyWKJAvH8UKF+b02bOExxPV1Rs3b2JpaUl2aXeXgV9ivPbvrXq14ktu3LpFIWnHroFfIjnQBXgJxJfI8je1O9sK5cqlZ0sSJ+0BC+JXHf/vv5vkyJEXM2l3WhJF71sN6mfKRCEXF+ru3cuHn9giGNOYmJiQzMGB99IRKAO/zF/ABT7vttM3Li4uhIWF4ekZX9wLiYtsaOKZ9QCu6dmWCJydXfjwwaD0HFv0A0KAxkB8mNq5aI+Ev//wQc+WJE5UKjOcnEbh6TkHH5/1+jYHABcnJ0M/Hos0sbAgl4kJtb288I4HDhxLS0usra0NdTwWGTtsGCfc3Rnx99/6NgWA5C4uBAQE4BePdv0lJvIBjYBOgPJB3rjHxdmZ99IRUAO/zEA0O+xaAGo92wLgoj06/d4wP4sVLIHhwGQgviy3Ojm58PGjoY5/jd4ddmbGxmyvXh3/0FDaHj5MmJ4HfiqVinw5c3L20iW92pGYKQNMBWYAwkn5OCViZ925c+f0bEniZRGQFY1irJd+TQEgd+58XLx4DrU6PgxJEh/pgY1o4qDEh6ldJldXbGxsOHv+vL5NSbQ4OvbH1rYJr193JTj4P32bQ77cuXn4+DHvDJO7WMFSpWKngwMfw8Pp6O1NuJ7bUiMjI/Lmzs25qDH1DMQolcuXZ9zw4UyYPp39h/UvI5VPexLmvCHPYwUVmpjT6dCM3eLDUcn8+fIZ+vFYJBOwFtgNTNOzLQDZXF0xNzPj7LX4styf+BgK1EETv1CIvB6n5MyZj/v3b+Pt7aVvU+IVenfYAaSxseHfihXZ/eQJc65f17c5VCtfnsOnThEqRUY08Mv0AeoDvwNvdEbajF2yZMlCpkyZ2L9/v17tSMxYoBEjeInmuKS+qVSpGi9ePOfOnVv6NiXRUhEYBYwEzjx4oFdbjI2NqVy+PPsPHdKrHYkZlUpFypQLMDFJyYsXzVCr9bv4VrVCBdRqNQePHdOrHYmZjCYmLLO3Z1NQEIsCBCGNOKRapUocOHLEsBATiwzq25fqlSvTomNHPkrBz+OIPHnykDp1avYfOKBXOxIzVsB64AGa3Vf6plqVKty/f5+HkqibgV+mBpq8HgRcloTv4ghzMzMqFCvG/tOn9WpHYkaFRnDEHs1pKH33n+XKVSMsLIzTp4/o1Y74RvRUYs3NNQoqkuqKhBRDJoqCTc306Wn07Bn/Pn5M31vKk2ibnHkU05VOvYhiTp+EUOhRbEyXMSOBgYF8Cg3FQbqRpDATocb5NRkzKqdLZ7QFdZ8XH5XVL+0EISZbE+VBdDKt8qmxrkgF3t4aNROlXQqSKoqk+BVFPcgIWKhWkzwggB1Dh9JJ6XphFU0lvWMprwTH67PnEWE2VTg7p+HJ0/c8e64iZUpl9UtT6XiVpMQkqWBJR7+V6omk3ieVG2mHakS6LsVQtVpzbXR3ukqDpy1bIv+ZA/hz0ybGb97MguzZsVD6DdFVkhLyRCWUBRsbjdJ0liwahSs/v3dER8AQZCWnJk2U0yXxKun+QSgrQppLbYj0biJ+mK7jQm/eaOpmNNWx3Moo15N5cz939k7h4SQb5cqqffv4LUKRNSqCotgVD2WVt0yZlE2UhJvw+Vw306ZKpYllFxwsvzOpbkrlUuoLdSjd/fB9hL6Q4sW/TYsoUL7f3wdRKKsvdnYquf2W0gXH1/jx9aP8LxkXL05l/Pha7N9/E/i2z+7aVfn20txfepVS/XF2TqaxxNoOc3NzXvv6EWaXDONw5Vhrz8yUFV4fKhR7qTnOktxbMd3PxF4xPQDlflw6Py6J2z/30fxWX1/l+hKJhcV3ZHX5rCj9NZISYBQVuQZArf79WenjQ5fLl5WvF1TkFPtIaUfkD4jFpHVwwMfHh6BXr7AQbA9L76qYbhwq9I1CQVOFKpendMmVM6ttW+V2XRpKXr2qnB7R/+h8HSEhEBzMO6sM33z0UMhuqZlr1/fLcmxtv5SPnmnZc/IkrerW/eZ609fPlG8kjdGEyh+Q/FvbAXyidPvJk6fhyfMPvPloSgoH5Tz09lEOqR4YqCydklxQAJaaRiXz0zkqT3o/JM+hmO4g5Kfx8yeav3W066ROrVGQlBRupTh/ERKVXxOlbuYF+p49yxwPD2YvWYKpUvD/8eO/TQO5T43u/EE71ktrqxnDvX3wgEyCAq2pVJCFNvDFa+X28/lzZak0aQrikMlWMV3l4aH8BWkwGWGnrvigAQGasbr0jqPbqUaJ3f63Ws2K27dZM3EiikPkKGP7L5D6DKnDlmyJMjZMmzYtF65dkxVoQR5DRVcFVEqX6o/UgAsD/2Qm34ZsCDJy+u6jI7G319QPqXwLz7S3U26Lbt74Mr3nwc3069eIB/Pno9hj16un/Fwhb6M7zI7oHrJopd/9/d9hZxd9oVWl6au5VD6ksYl0vaR6LZUDiYhyKbWDCsSLHXYRNMydm8svXvBYzwIUB48eJVPGjNjbKw+2DcQMzioVZY2MEJr9OMPP7xOXL58hTx6DCEFs0+i33/APCmK/NICJIw4ePIiJiQl58igvAhiIGYyMjMiXrz5bBKdfXHLw6FEKGYRlYp28eStiZWUPem7ZT506RVBQEAULGtr12KZhhQq4e3jwOhqDz9jg4MmT5MySxSA0EstYW6fB2bkYW/S8s83T8yPXrl0kb15DHY9tGmbOjHdwMEd1OQ5jmYPHj2NhYUGOLFn0akdix0Slop6dnd7nZ6Bp1wsZxuqxTsmS1bC0tNJ7nh8/rtlZlz+/oV2PSrxy2JVx1ax8Hr+t3/CmNtbWhIXFFw3TxE0ZIyPOAcImpDjBzMwcExNTQ57HAVlTpya5vT3H9FzHbW1tDfkdR2TJUpbXfn7c0bMAgCHP4wYzMwuyZi0GHNOrHbbanRiGPI99ymqVWY8/eaJXO2ytrQkLD9f7kZ6kQMqUZXG/coUg6YRBHGBhYYmxsTHh4YY6HtvkdXbG3syMY3p22EXMz1RKu/wMxChlrK15BDzWsx021taGEFVxgJWVNTlzFtLzyA1stLtsDWO3L4lXDrtUdnbUyp6dvzZvJlSPGdWwTh2ePHvGCcOZ+VinjYkJfsAsPdpgampKlSp12bx5hR6tSBqoVCo6Va7MgkOHeKFHB06tWrUwMTFh1apVerMhqZAjRzXS2tgwyt1dr3Y0qFWLbXv24OWtfHzRQMxRqVInNA67o3qzIX/+/Li6uvLvv4Z2PbZxTZOGikWKMPr4cb2KTzSoXp27Dx5wXjpPaiDGcHNrx3tPT+avWaM3GywtLalUqSYbNhjqeGxjpFLRMWdOZr97xztdRzVjkbrVNPGt1m3bpjcbkgp17OxIAYzWsx0Nq1Vj8759+EnxZQzEGI0adWYvcEaPNhQuXIxUqVKzZo2hXY9KvHLYAYysWJFHb99y9OZNvdlwTRvPZa8hQHmsk8nIiFbAEvQnIf7pky87dqzj/v07eHkZpMNjmz+1MW/W6tGBc/nyZUJCQli2bKnebEgqmJlZ8mfhwmy5f5+PegpMHx4ezs59+wgKCuKyQW0s1vntt4ZATjQtu364d+8ejx49YsWK5XqzISkxskMH7rx/j/szIX5ZHOCh3bl94MQJvdmQVHBwyE6T6tVZvHGj3mzw9vZi377t3LhxlYB4IHqS2BlSqBBB4eGs99TfOPny9euEh4ezUo/lLqlgY2xMfzSiI/raVxkWFsbGPXv45OfH9Tt39GRF0qFmzRZkQp8jN/jvvzu8evWSJUvm69GK+Ee8c9gVTpsWO0tLrjx+rDcbBo4aBcCkmTP1ZkNSohIaBSp9dQinTx+O/PexY3v1ZEXSwd7amqKZM3NZj3V8xozpAHjoOZZeUqFyhgyEhodz88O3AXfjgqfPn+OuFbGZMmeOXmxISmiOK1UCrujNhuXLl0X++70kZGAgxiiVPz9mxsZcef1aL89Xq9UMmjABgJHTpunFhqRGpRIluHnvHsF6OhZ79Oi+yH+fPHn4O1caiAmcLC0pYGXFFT06RyfPmwfAaUGUzkDMUgkIBPTlKrv36BG37t0DYM4Kw46r2MbIyIiK6HPkBitWLI78t48kzJIEiZ6shZWV5o+0LVVS1ZACESuobaiADCoVDw4d+kZ50rhOHcXb2Nl9q7hmHqqsjBhg5aSYHlWFZOvWHdSoURWAd4HWGClInUhiNdGNdSypnDx/rqwiJwk6mfsrr3gFmCRTTLcM9NL8Q5dq6Js3mpejdHxRksyTVFTKlFFMTj90KKBx2hWI+oF01KJjR+X0nDmV0wVMtMW4atVatGrVmVWrFrJjx1p6dayv/AVJ/UhSIZLqg6TcFB3VVKkgSMdMpYL2NREKmlJBluryf/8ppwtiA+nv3OE/gK932QlKlNJ7CEurrCInmRmsnbePGDGDgwdzA+Dt/Yx06b5VhZNUALFTVpaT5iySMJ7UD0nz3eTJlduu4PTfb9N8dXV43t4a46XyKpQF1Udl51uDBt/aYzNiByrg/u7dlDaPopZYoYLiPQpUqqRsiyAX5ftJOZ6NrfblZ8ydm9kzZ9K7b1/2HT4s9gOWkjqyVB+kjiC6KrFSIZHUO5Xqc4RUro78DrOyJczKFmPpt0qSXEK7Vb+CctyyFCnS8/btY7JnD0Wl+jzUiKbAmXi9JIYYIW7Yt+8frF27mufPn3Pw4CHq1m2meL3UZH5PkO5rHrxXFqhKmVL5eksLYT+50IiEGX1fYfSHBcqiI3MJcrlUeDlGQPqwMB7s2wf79n35YblyyvdRkluUVCIltLaogJ2bNlG7USMA1MbGinGujBHCrUh9pFRApLospEs/SyrH0quPGF7p1PfQqr0rZa3U1EuvQDtE+4andzWB4B8GBZE9qoq5UGmDLJTriXl65R8bKvzGiHfTrFkDjh9vxdq1q9i9ey2/N1JQIgckHbvoimhKeaI4FBbqsomJcl02NhLaBOmhXxMUBMbGsmS6NLCQ+gFhHJ/hyBEe+PnB1/MxaQAk1R8darDfoC20c6dMoUDZsgC8+fiRFEp2SuNFB+V+38JL+ZHSkF/qG6S+yjSK+mpU1DaCquyJ45p/6JINNTL6IfXsb5D6eAXFzPTaRe0HQJGoH0gnZEqVUk6XXqZUDrQdefaiRZkybhx/Dh/Olv375Zcv1ZPojumk66UBijTfla5XaLjNnTV1x1xXfMjQUM0fKf+EAvjipfL4eMwY5dvkVanYqFajVqm+7EOlzkoYc3o8VfY/SMKsEa+se/fBrF69HB8fb44fP0n9+jUVr7c0UZ6j+QUrzNGkdyYNnqQ5tjS+jm5nEtEp+Sn7qhRv9cNXxiGFra25GI0fEdNUqVKFcePGY2NjYwhsGgfkR1MQL+rp+SYmJkye/D/SpElP5szZ9GRF0qIwcA3QV7jq7NlzsXbtHgCCdDmtDfwytioV2YyMuKjHwMG9evakTu3aVKqoPKkzELNYWBRGrfYnKEg/AjMuLi6cPXsJ0MQpNRD7FAYu6PH5tWrUYOSQITg7OxvGbnFAIa3YyIXLl/XyfDMzM5Ys+ZfkyZOTMWMmvdiQ1CicOjWXXr0iTHJsxDL58+Rhs3anlUGIIPZxBjKiv/kZwIDevalcvjyVpIUfAzFKYcALjZNWH6RIkZKjRw2ha74mXjrsitrY4OHvj7ceG+O7d++QI0dOw6AvDrAGcgOn9GiDv78fL148JVu2XHq0IulQFAgCLunRhnv37mBhYYGrVp3aQOxS1MSEU3oeYN+5e5dcuQx1PC6wsCgIGOHvr7+W/dYtTSzcnDkNeR4XFAUuA/pbboU7//1Hrhw59GhB0sHBwYGsWbJwSo/xaD09PXn79q2hjscRRdOk4VNwMB5v3ujNhjv37mFvZ0fqVKn0ZkNSoij6nZ+BJs8N7XrcUFj7tz7z/O5dzdjNMCf/TLx02NVOlgwVsFjaxx4H3Lp10zCxi0MaARsAfUUaundPswvE0DjEDUWBdIA+Q4revXuTLFlyYGxsrEcrkg6NzMzwCAvDXU8Kc4GBgdy/f59c0Tw6b+DnMDa2xcamGp6e+qvlt27dxMzMDDfpDIaBGKUeml3T+ow0dPP2bcPELg5pVLcuazZuxFtP6tu3b2smdjlyGMZucUHJdOlIYW3N/Av620t7884dcmXPbthQEUc0BM6hWYzRBz4+Pjx7/pxc2bPryYKkhZNKRXngHz0qvt+5cxMrK2vSphWOpiZB4qXDLo2ZGbUcHNiqJyWikJAQbt++bVixi0M6owlsuk/XhbHErVuaOA1Zsxom83GBMdAR2AHoa8/VrVseBgdtHFLT1JTUKhVb9OSwu3XrFuHh4QaHXRySLFkXgoKuExysHMsytvHwuEbWrNkw+eEgbwZ+BVegKrBFT88PCAjgrmGHXZzSpUMHPn36xMEjR/TyfA+PaxgbG5MlixC7zUCMYmZiQrsCBdh65w7hejoW63HzpsF5E4c0BJyArXp6/vVbtwAM7Xoc0kWl4gLwXE9OO838LKeihkBSJd6+ieoODpz19eWZHuJL7du3D39/fypWFAKfG4hxUgAFgU16ev6ePZspVKg41tbRDHht4KepDngDh/Tw7GfPnnDlygXKlq2sh6cnTYxUKqqZmrI1OJhQPQwCNm/ZgoODA4UKFYrzZydVrKzKo1KZ4eMT9y17aGgou3btMPTjcUx14CSgD63YXXv3EhoaSiVBzMZAzJM+XTpyZMvGpm3b9PL87ds3U6pUGczNlcUcDMQ81d3ceO/vz4knyoJDscl/9+9z4/ZtKmmFJwzEPsZAFWAzoA8X7ebt23FxdiaP4dRbnFEJTb5v1sOzg4KCOHhwF2XKGMZuUYnesrOvr0aFRJKYko6wSqswdwSh6JQpaebkxODnz5nk5cXcfPk06QsWKF5urqAaGmSmrL4jtTYRgrSBgQEMHjyMPHmKYGubDymWriQI8vSpcroknCMJ1Uihnt4LZ0Z9fJTVWCRhnrDkmtgPYRbWyhdEEBSkyT8lhRWpHEjG61AD6hkURHs/Pzzs7MhrYgIzZypf36CBcrokmyaoCjk7a45CHj58iMOH97Bw4RKcnSEEZYVeUxPhd0VXBlRJGQ+UC1V01VqlPIkgIOD7n/v7a/JbykOpzkoKYVevio8qjOZo7Dg0uzJUAJuEiX3nzorJxi+fKabbC3midrZHrVbTo8efODo60rp1ffGngnKgeksj5UUEP0HJUSoG0iuTioftp1fKH0iNgla9Sh2gQ3nKygosLeUyJam2CStfSpe/PqRRlK14+zJLWxZiYv/Z1KzZigL7JijfWwouLPQltjbK9USNpo4/evSIOfPm0aZNW8wsrWQFYEmBTMiUkFDlIzmm/sLxMOldSh2K1GYq7Rg7pY04okOwyfj+XYxtbGT1KqnASjsaBJXsbdsyALaMGNGWgwens2ZNL6ysrMVmXRCBj7YofcT1U6dO4v379zRp0g5/f3l4IoknKr1iqTmOUKb9GnFxWJSxVm4UjE2U5TvTpNa0cz4+Ohzg1taasiQ1OlEVPqMi/WBpYDF7Nq38/Rk+ejRTS5Rgar16mvSlS5WvHz/+h58pKowGauqan58fI/76izIlSpA1QwZZ8lSo434myvc3c1ZON32t3PdIddlcUBN0TalcSIJSK49DzM00ea0zz+3twdYWI4WiFjHe/RqpjkjN4tHnmvFjlWp9mDOnJ9Vr/0369Nkon/ud4vXvhWJvZKTcjqZKLij6ajvtXXv2cPz4UdasWKHpl4OVO3NJrVnaeCtVT+n9KFUHOzvl8YA9yuOHoGDl680jXr6u+K/m5pq6IzVoUh2XlMil57m5USpTJvIeOcLfly5RrrJ20VOKY9i2rXK6NC+UCpuZGeHh4QwYPZrkLi7UrlNHbp+Ehlfq2qIpjC6KZUo/KWNG5floilDhFFnEeEP6fVEfGB4efVljqeArjXNKlACgp48PJW/cYGu2bDR0chLn49SooZwu5avUkWtt/O/ePf63bBk9u3bF1NIy+pmoKOH8HaTxtPSOpcZUskfp90b0y7qkv9++1VwjjLmkd5zG7Lhi+uDByk7vYW6adjfHjtaMeHKEl90eYGJizt9Lla8PadFGMT1UeJX3hQMXEV32//43jk+fPlGyZFsePpSLiLOz8hxNqemyNhLGA1I7JzlzpAladKXXf7SORyHe7rCzNTXlDzc3Fj15wgtdToYYZNaskTx5cp9x4xbF2TMNaGhlZoarkRFj4zC//fz8aNOmJRUrVqJ167Zx9lwDGgfdSOA0EJeHaVavXs3GjRuZP38BtraCY99ArJAjR0FKl67FkiXjCAsTJmMxjFqtpnXr33F2dmbs2LFx8kwDn+nSZQg+Pp6sXSsM8GOB69ev8fffI+jffwi5cuWJs+cagGRWVvQuW5Z/Tp7kra+OxYIYZNDo0bx49YoFM2bE2TMNaKhevT2OjqlYtWpcnD3T29ub1h06UKtGDZo1aRJnzzUARkZGjKxXj0M3buD+339x9tylK1eyc88eFs+bh6WlskPbQOxQws6OSvb2jHn2jPA4OiGhVqtp2a4d6dKmZcTgwXHyTAOfKVlyOJ8+veLatSVx9sxbty6wbNk4OnQYRfr0hjAHUYm3DjuAnpkyYWNsTMuLF/GNg7hHHz++Y/XqeXToMIAcOfLF+vMMfImpSsVwS0s2hYSwUPJKxzALFy7g48ePzJ+/yHBWXg/UQLPTrgsgrFPFKOHh4YwdO4batWvTuHHjOHiiga/p0mUUjx/fZcqUPqjjYOB35MgRTp8+zdy587C3V94tYyD2SJs2I/Xrt+Wff8Zy4cLJOHnm1KnjyJDBlUGDRsXJ8wx8Sb9y5TAxMqLVypX4xUFYk5evXrFoxQqG9u9PjmzZYv15Br7EzMycFi2GcPjwavbvjxvJkbnz5+Pv78//5s41iA/ogfqFC5MnXTo6LF7Msw8fYv15oaGhjJs8mSYNGlBb2sVlIFYZlS4dHv7+DHzyJE7Gbnv27ePi5cvMnzULG+m0gYFYw8kpK7lyteDEiRG8eHE2Tp65ZMkYMmTITps2Q+LkeQmJeO2hsDM1ZWuxYlzy9qbj1auxHuD08OEdBAcH8fvvvWL1OQZk2piZ0dXcnK7+/hyMg+dt2LCOunXrk1E6LmAgVlEBawE1msC2n6QjWzHE5cuXuXfvHn369I3V5xiQyZmzMIMHz2PDhnnMOH061p+3du1asmbNSrVq1WL9WQaUGTRoCtmz56Nnzwb4+sZu3KNPnz6xd+8OOnXqiamp8pEJA7GLo7U1Wzp25PSjR3TfuDHWJ3dbdu5ErVbTvUOHWH2OAZnatbtQtWpbpkzpwIkzZ2L9eWs3bKBpo0akju6RNwMxgpGRERt69cIvKIhGs2cTEMubKs6eP8+Tp0/p26NHrD7HgEwpOzumZczItJcvWaDriHYMsHbjRvLmyUO5MmVi/VkGlKlUaSaOjlnZtKk+L2J58c3Hx5OzZ/fSpElvjI2NY/VZCZF47bADKOPszLICBdj44gXTjyufw44pTp7cR758xXB0dInV5xiQMVapmGtlRVVTUxoAQqiIGOHdu3dcunSRGjVqxeJTDOjCDY2q4H2g67Fjsfqs/fv3Y2dnR+nSpWP1OQa+T5Mm3WnTZiB/7NnDiUePYvVZBw7sp0aNmoZdGHrEzs6BOXM2Y21ty549dQgPj73j0KdPHyc4OJiqVWvG2jMM6KZStmwsbNqUlefP808sH5vbf/gwpYoXN+yg1SPGxib88cdC8uUrS93WrXknxYKKAZ4/f87NW7eoWb16rD3DgG6yp07N5t69uf7sGb0Pxa582P5Dh3B2cqJo4cKx+hwD36d/6tT0SpmSnkFBnIvFsCZqtZr9hw5Rq1o1w9hNj1hZOdGw4RaMjU2pf+tWrB6HvnjxMGFhYZQqZZiTKxHvHXYAjdKkoZurK+MPHeKjjoDav8LLl09JlSp9rN3fwI9hrFKxztoaUyA2I0691EaOTZ/ekOf6Jh8wHVj9339ceaccsDomePr0KalSpTLsvIkH9Oo1gUJp0jB4//5Y2z0dGhrKixcvDHU8HuDo6MyMGev48MGD//5bFWvPef5cEyw4TZp0sfYMAz9GyyJFaF+8OGOuX8cnFndPP33+nPSSEIaBOMPY2ISRI9cTFhbG+FmzYu05z1+8ADQKtQb0S5HMmZnYtClLPTy4FYtO2ifPnpEmdWrDzpt4wAxXV3IYGTEkODjWdk8HBATw/v17Qx2PB9jYpKJOnVVc8PVlUyzW8devn2JiYoqjY4pYe0ZCJnoqsRGKNNLAS0hXm5uz59YtqmbPjknUxlZS1VDY4j7c3p41K1YwaMQIvpGDUJCXM3dWngA+8VJegTUx8cfD4zweHudZunRdZLq061d6BYIQmKg2KwmESEIkkrhPViE2o6XPG+UPbDSGGhvpaGwtLTVqN0ovQqq4+fPz0suL515eFI161FRSwGnd+pske2DUzJn0BdoDRaJ+KEl1Cff/EKwsLPDff7cB2Lt3N+XLl4tMNw4Vtv1KmS4VEkkVSYrPp6ToJKk8SfH2pHccIZ0oKRdF4O2tsU9yoEh5bmfHiVevyOPoSDLzKGpnOXMqX6/wDtqq1cy+eZPO69dzHq1qbAStWinfJ3duxWTfT8orcsuWLSU0NBQfH3+stPljGqgcGD3ARLnchKKs5mZtobzaaC2pCwd7Kaf7COUsmopokWpxupSnnJw0ZVUql8L3/Y2MOO3uTuVKX0qvK1UHZaVPI6b4+VHBy4tlkybRIWoQ6Qh1ya8RGrqgYOX8vnPnDmq1mpkzZ9C7d98oj1Z22PqHK6cHC+KuTo7K7ac3yv2MTXrldOPXL5QfIMnUKb3QiPKh66hKhGKohNQvf/yIx4MH2FpZ4Zoq1bfP/Yosab8VD8qSNg/FijXl3Ll+NG3aAEvLz3VMUlqVTJXE4s6d0UjYvHx6nYIFCkSmBzso560kfqv0s6Ih6AXIVTPEQrltMQ0X1IUlWcLHjzV/66rj795pyoxUNoT2PjxlSvacOkWNUqW+jPEqvYgWLb5JGlWmDBvz52fYhg3M+frDgQO/uf6FkfIEzUEY+wQFBuJx8yYeN2+yfMnn4NhqC+Wg9Cp/5UVfa6lvlDJR6t8lWWMpD4X7m0uLDD7a+0sVIOp9jYxQuo3UjTs4wJs3z/D0fEv27IUi0yXhUaVio1I5M7RvX4b+/TftmzcnT5QxwK1byvfRClF+g/cnZefMtduaHZsHjp2k0G+fj8uZ2Cj3zUZClkhZKGWVpDarlOVS0508ubKNUpUKC9dcH2ai/L1IgoLA2FhWg5XGzcmTc/TqVQq6uWEftbGVxoAKhnZp04Z569bRdfVqTnztYKlQQfk+wthNqT6o1Wr+XbsWgKCAAMwjxphCXQuzUe5nrYQ2RBraS82qNA+T+rAUzspjQ+9PyRTT7TNp37GuOh6hDCwtVggF3Nffn/PPnlExS5YvP1CaeObN+02SMTDlzBlqAGv9/Pii1ZdUUzNlUk4XOvg7164B8M+iRXTp2vXzB9KcSOrbpEm5VMml66Pp9xALyfcGyLoEFz9+1IzTI/r9H7k3gJcXV549w8namvRRCmmB5MptQoExDRRSS+K7wYxed+5Q++1bLKPsejT1uKR4n+TJCymmS/3A+fOHCA0N4dmzR6RP/zkWrdQFS/2YUj30DFQeD1jZCWrs0jhYahelxkKaV0V0JtEQ5oqTHXYXnz1j5YUL/PcLO2dSWVszEFgNeMWUYV8RsSL/7p3g5DLww6w6f57V58//0j16ARmB+TFhkAJOTprO6cEDQWPawA8THBbGZA8PTkkj+x/AVKViEnARuBBjln1Js2aaocWpU3ET/D4xs3XbNpYsW0boL8QyKW9mRm0zM+bFkjK0iXbQFBzLsRGTCnO3bmWnu/sv3aNZsyn4+3tz9uw63Rf/BGW18W4OxvIRraSA+7VrrNqzh0cvBIfyD5A+bVr6AisAHW7Fn8ZRO0L3krwkBn6Y3btXcODA2l+6x4Du3UmZPDkLVsSOAEXq1GkAuHnzRqzcPynhFxDAlA0bOHv79k/fw9zMjAnOzpwMCMAjluJcNdBuzDh7IbZGh0mHzTdusOTChV/aHVcdqAzMizGrvsRMewrGT1oAMRAtZh87xp6bN3/pHtOsrXmrVrMplup4kSKVATh3bn+s3D+hEycOuwJp0tC+WDGyS57rH6QdEAxsjBGrvsTKyoqZM5cB4G9oIH6ZxgUL0qlUqV+6hxGa3XXrgdjQjK1UqRINGzYy5HcMYGZsTP88eajwiwGgqwJp0UzuYoMpU6YDhjoeE9SoXp1ePXpEOsV+lk6WllwJDeVGLAQxzp49O2PGjIt1waKkQudatWhSrtwv3cPJKR1581bj1KnYqeXdu3YlTZo0hjoeAxTNnZv2deuS6RePm3YAfIFtMWHUV9jZ2bFi4UJAc4zKwK9RuXIz6tTp+Ev3MDExoV3z5qzevJmQWBAjqFatOjVq1DTU8RjA2tKS/g0bUkZhJ1V0qG1jQ3JjY1bq2hX2E6hUKmZNmgQYxm4xQa0cOehVsuQvx4brBLijiT8d0+TOnZthgwf/0oKwgc90LV2ahvnz/9I9MhsbU8HUlBWx5LBr2rQf9vZOBAYa6rgSceKwMzE2pmqOHF8eqfgJUgLFgT0xYtW3fG68Yl+uOrHj6uxM7hhQ76oH+AOxJTeiUqniRJ48KVAhdWqsfzE2nDFQB00dj41ciajjhjz/dZIlS0ZJ6SxTNKhsZoYVsCeWBgGGgMUxR+Hs2Unp5PTL9ylYsB7375/h0yfhrPEvYsjzmMHM1JQqv/32y+8zA1CQuBi7GfhV0qVzI2NG4Zx4NKhXvTrePj6cuXgxBqxSwpDnMUWlQoWwNNdx5FYHpioVtayt2RNLccYNdTzmcLa25rcMGX75PtUBM2K3XTeM1WOGYhkz4mKrHIojOtQzM+NESAi+sbQIrqnnhjxXIkGITkSlAbAbeBUL9/68C8PQMcQXcgNZgCW6LvxJwsPDDQOBeEYD4DFwNBbuHVHHDXkef7BQqahhbs7SwMBYUaAy1PH4R4ECtTAyMoq1XXZqtdqQ5/GMBmh22MVGyOqISZ0hz+MPhfLlI33atCxZvTqWnmCo4/GNBjY23A4Oxj0Wdroaxm7xDxugCpr5WWy4WAxjt/hHHTMzwoBVsbTArqnnhjxXIsE57DoAFvBt8OIYIEhbAM1/caXJQMyhAvoBmwEhlOkvERQUZMjveEYFIC8wNRbubajj8ZP+VlbcDQtjdyzEmjPU8fiHg0Mqihdvwf79MwkNjfkjc4Y8j3900f4dGzFpg7TthiHP4w9GRkb07dyZNVu28FwK8P4LGOp4/KO6tTVZTU2Z5ukZ4/c2jN3iJ/0ADyA2IsYGBQdjrksoz0CcksHYmIZmZkwPCCAsFhbYQ0KCMDMz1HElohd8yN5eozojxRCQJHKiK8Ejxbo7fx57oOOMGfxv926GbN+OrbU1tG377bUHDije4muhpPfvXzFzZn8ePrzOu3eafXv+/hZ81J7UkQQ+oivSKYV5ktIlNSpJOExSmFJbKMsjR7wHX18dnmwnJ40SkVKeS/ktvTTp+sKFldO15+3bBAUxvH9/ZpUowayWLaFvX+XrBXUiJ76cEG7bvp0p06cTFBzCpUsXadiw8RfiOsbSVl9JrjC6mShdr1RPJGWv6Kq4Rrx7XccV7Ow0+S3loXTMWYpbIv1WSQY5dWpUwB/+/rTx8uKWiws5TU1hwQLl6wWJRzOLzyphgYGBDB06kOPHj0buxDAzs4h8ha8+KW8Tl16xNH74hLKinY2Ncrql1M5J7zK6ZSFCAERXnltba/5I6ltS4yJMwvLl/jbe1Qcv5XfQodZngZ/ku0rQ2ciU6tWPsXTpt+qRAL4jpyimf/3KPDwuMXHiED5+fMONGx64uWX5okhHt7hKryAkVLn9jK6QWbBjGsV0S6nNUaqfEZ2SLtUpPz9QGTsAVgABAABJREFUqeR+VipPUr8vlUuhD06Zsi4Av//+B127ruTevU2UL99crFdSnuRx+7yLQ61WM3n6dNZt3IitrS3v37/XDPSj/BYXZ+XBpZ+/ch4q6edEVzBUym9rM8FJKRVMqUBFlANdA2cLC80f6QdEV6xByPMPJsrjDaeXL3EG2g4Zwrw9e/jjzJlIle6v8RFMSZPyS6XF58+f03/AAG7dusWz58+BLyfzqnBlZUYxsyQ+Cse2o6sOGF3VeKleRdxf1w6H4GAIDlZUQU+fXrnPk+qgJJj39Kly+h8TXbQm9MXIaCr1O66hTJlJtG+vfL0kepjL7cvfuGHTJmbMmUNwiJrLl8/TtOnvX4y5pXZaarqkdClko/R+lFQPpaomPVMqBhHpOk+apkypGaNKD5b6EkkoTLqP1EatWYMR0H/zZrpNnMiDyZPJnDYtTBWWXnv2VE6Poirs5+fHn6NGccLdPVI4yjws7PNES2gXo9vMSVMTKT26SGrH0qs0ctAoV/rqWsxycQFLZZVLQC7I0kRVqY2S2q0dOwAor1aTv29fpjk4UPmvv0ArDvINQjn78OlL58zFi2cZP3443p5vuXb9Only5/6yI41uJyz91ui+G2nyLbX3Ur+hVNF1qbxHEBSk+f3SeEAau0nKvVIf4+ammBzyUiMc2uf8OUqVKs7WBYupW7cepjUqK15/f+hBxfSo0z+1Ws2SJX9z5Mgm7OzsCQjwI1kyiy/qXnQF2ZXqlXQPqTgFG0UvvJOtJGMvdZ4RRCMGeILbYQfQp1kzPvr4sGrv3l++1+TJPTh37iAFCpSkSJGy9OgxGnt7ZaltA/rBytycDmXK8M+RIwT/YgDS58+f07h5c0xMTMiWLQeNGzejS5ceMWSpgZiiiaUlLkZGzIqBeCjTpk1m4cL5FC1anGzZstOtW08KFy4SA1YaiEly5OjJ69cn+Pjx2i/dR61W065dbV69ek6hQkWoW7chQ4aMiiErDcQUmTLlJXfu0mzZMvOX77Vz924GjxhBjuzZSZUqFW1//5360sTBgN7o37kzb969Y712svcrdO7aleMnTlCyeHEqlivH36NHi05AA/rBzMyWnDnbcOXKLNTqX4t59PDhQ5q3bo2VpSVubllp2LA5bdt2jSFLDcQUrWrUwM7amtnrfl0FfNy0aSxZtYoSRYuSJ3t2+nTsSP5cuWLASgMxhUqlomfNmuy/coW72oWTnyU0NJSWLWvz/v1bChUoQMN69Rg+aFAMWWogpihSpCiFChVmzpyZv3yvgwc3sGDBCDJnzoOzc0oaNGhP2bK1ft3IRMivyfvpiQypUgHQffJkmlWpws+61/z9P3Hr1nkqVGjEX38JO3gMxAuq5M7NlL176bFyJYt+4T6n3d0JDQ1l9vTpZM8j7OwzoHcsVCqympiw0N+fPtbW5NT9FUXUajXHjx+lUKHCzJ//KyXHQGyTKlUFAA4dqkO4WxOMfjJ2yYMHd3nz5hWDB0+gU6c2MWmigRgmT54yrF37NydPbqZhw4Y/fZ8jx49jYWHBmuXL5SVTA3rHzdUVgPb9+9OwZk3sfjIItre3NxcvXaJl8+bMmDgxJk00EMNkzFiFq1fncOLEn3ToMO2n73Pi1CnCw8P5Z/ZskqfNE4MWGohJrC0tcU2dmtnr1tGraVOU9+roJjw8nOOnT1OiaFEWzpwpb0E0oHcqaU9D1Rs/nlv8fASy27dv8OHDeyZOnEvHloYFt/iKSqWiZMlSzJ49k7179/ArOXXx4lFsbR0YO/bfaG9+T2ok2JFtvixZAOg8fvxPfV+tVjNpUnd8fb1o0aIfoOkg5s4dTdOmxWjVqjTHj8eW9o2B6FI+Rw4AFp84gedPqtM8e/aM7r17U6dWLfJqJeyfPXtG48b1KF26GC1bNsEzFmJvGPg5qmmPN+V69+6n7zF79gxOnDjG4MHDI9NWrFhK2bIlKFv2N+bPn/vLdhqIGaysNEfI/fyese/Ro5+6R0BAAF27NsHNLTs1amgcQD4+PvTq1ZkyZYpQt25V7t69E2M2G/g1ihSpBsDYsY1++h4HDx9m9j//MGLw4Mi0k6dPU7ZyZYqXKUP/gQOjCEoZ0Dfp02iOf//x118/9X21Wk3Hzp0JDg6md69eAISFhTFs9GiKli5NmcqVOXj4cIzZa+DXSJ++EgCXLk3H3//ndsw/fPiQPgMG0KRRI7Jqx/5PnjyiWbPaVKpUjI4dm+MjnS80EOdULlYMgJyNG//0PSbOnMnZixcZ/scfkWkLVq7kt9q1KVG7NgtXrfplOw3EDBm04TXuPH/OqZ+8x6dPn+jUqRm5cuWlWjWNC8jT05P2XbtStHRpqtetywPpaKeBOKdKFc3YrW7dmj99j5Mnd7Fly//o2HFkZJq7+yFaty5Ds2bFmT59sEElOAoJcocdQIc6deg9bRqbjhyBUqWi/f0TJ3awd++/jBmzigwZsgFw964H//zzeRDZrVtN/vrrCHnylI8xuw38HMZRdk2s8/enmxSP4zt07t4da2trli1erFEeUsOgQX+wc+d2AC5cOM/Jk8f579o17O3tddzNQGxTPkrAmLDw8C/KwI9w//49hg0bRL9+A6heXdOphIWF0aVLh8hrzp07i69vOB079o4Zow38Ek5OBfnw4TKj3d2pkSlTtL8/Y8ZfPHp0j127zmNtrWkjVq5cwrJln3dXFiqUg7NnH5I+vWuM2W3g53B1zRv571evnpIqlRAnRsDf3582nTpRuWJFBg8YEJnesGlT3mnjeZ47f55Xr16xas0ajI2VYwkZiDu6tW7NkAkTWLxmDYuk+FbfYf2GDWzavJlNGzbg6uoKwcFcuHSJ8ZMnR15TpXZtTh0/TsmSJWPSdAM/gYnJ58Byx47toEaN5tH6vlqtpn2XLrg4O7Pon38iVSMHDuzJwYOaRfXLl89z8eJZLl68js1PjA0NxCxVihdnyr//EhIa+lOK3Tdu3WLkhAkM/+MPKpYtC2gW47pFWZQ5c+kSKktLOrVrF6O2G/g50ru48PTdO/4G9v3E9ydMGM6rV885dOgSlpaWQADz/vc/lq1cGXmNW+7cPL13j3Tp0sWU2QZ+koIFC0X++01QECmiKQbz6ZMPf/3VjjJl6tCiRd/I9D59GuDnp4m76uFxjo8f3zFz5iKMDCcnEu4Ou1w/MZmLys6dy8ievRDVqrWMTMuaNQ958hT94rpRoyqwf///fulZBmKGlFon2s2Q6KsKvnr1in379zNq+HAco0Sz/PPPwWTNmi3y/2/fviV/8eLcf/Dg1w028EvkMP0c9PPpT8SyW7t2Nebm5owaNTYyzdjYmHbtOn5x3ciRfRg9uj+hvxgf0cCvkzp1RQDCf3JVbePG5TRv3pEcOT4fmWrW7HfSp8/4xXXFi2fi7NkTP22ngZjB2vpz8OTbty9H+/sHDh3i1evXzJ469YsB3d9//UX6KIP6dRs3UrdePcMunHhA3pw/G+BAw7LlyylVsiQNGzSITCtcsCAF8uX74rpSZcuyfMWKX3qWgZjB2Fgzmbt7N/rxSR8/fszxkyf5a8QI7KIEWx8wYARubp/Hbk+fPqZs2WI8efL4l+018GvkcP28GPb6J46y/rthA3a2toz488/INEtLS1rUr//FdZ179WLIqFGGHdTxgKoFCgDwM3to1Wo1a9Yso23bbmTJ8rlOd2zblowZMnxxbfosWThz9uyvmGogBnCOohxxRZfQmQKnTu3Gy+s9AwfO+cKh37v3WFxcUkX+f8uWpXTu3Ag/vx8U5kjERG+HnaWlRmpDUr2IjioKiAqP4vVRVDcLlC4NQKfmzUG7/foLhAa8SMEwXr9+zaVLh/Dz86NoURWFCxdmw4bjWFlZcfDgOX7/vTYHD+6icePWvH//nP/9ryulStnSvHmLyPtIc3spXZonSP2MIMAovmLpPpKQWYQ9OsVpXFw00lvR6XQlKS1JGVRSvPmqfAxo3ZoBc+bwZ+PGyt8RfmyImSU37t4HoGOXLnTs0oVZs+bQsmVPsmQpyJYtR8mdOzWurpkpUqQEFy6coly1aty8ceOLnXYBgcqrhGY2yisLxiir1Pn6K+/ysLVSqI6S0qxUECQV14h3o0siPVkyTX5L8juSzJYUfECyX1JoiuKIdwScVq8muaUlrkp1HMSy4/PehwsXzuHn54eDgyVOTk6cOnUBa2tX/vprEXZ2qZk1awyNG7clMNCTJUtmY2tryoQJkyLvIS3oSK8+2v4+SZ1NUg2SGhFdkqe6VIhSpNAoyEmNRTTVkdVG35ZvqT37uknImbMq169PYciYMVDz2632UjEzN1fz33//8e7dG5Yvn8vy5XPp2LEzo0YtwMTEGXf3R2TPbodaraZKlbrcv3+D5s2rcObMFbJnzxF5H0sz5Tqr9JtAbncldLXH3+CgvNM3MPzb9GQ22oUMXSuR4eGaP1JdlgqydF+pzRHa+8ppv3zHdWrXZsfOnfRuWhRj4zffXB/koKw8GqRWcfPePQCya2PoHDt6lBIly9G2U3ccXFLRpEkD6tSph6WlJXv37qZx48bs27Pnqx0fynkbjS5GbFalbtPaSvhAKuDSg6OLZFB0C7JQYJ3cBOXhh5/7k0LaI41927ZV7GekrkFtZMzLly85cFCjPKcyMaFEiRIc2bgRc3NzLh8+TKUGDTh84gS/N2nC01evaNehA/Y2NtSvW/fzjaI7eBPyRO3opJiuev1K+T5SHkrPlfIqoh5KfXQEKVKAnZ2iQqWkfimpvkqmSHn1tU+2du3hbNs2guHD+5Aq1bfXS8UvTKXitraOt2rXjlbt2rFwwQIKFu6Ck1Nxpk3bS926mXB1zUH27IW4ffsUNWpU4LqHB9bW1pH3MTNTHrtJXaP0aqV+TEmdVnqXkjCj1IZE3FtnExDRrkvttCShKxHdtijK2C21qyuWlpbkzJaNVE2bKl8vKFF6hYZy9soVPL28MEuRglSpUnH+9GnS2tmxetEi0qRJw5S5c2nbvDkffXyYPGMGZmZm/DViROQ9VMLR6xQWUl1Tfmdp0yrH2JRegdSlRleVPmKMqdMPkiKFJp+kMZpUqKQNL0rXS43FV9LIdSpXZtGBAwyrWhWUdsAJ5c/RMpjbt2/j6+vDvHlTmTdvKn169WLmlCmkTJ2aR3fvYmJtjY2NDbVr1ODa9etUrF4dj/Pnccuc+fu2gzy/lDJLyhRRTlQoDNEZ7P3o7rFUqTT5HV1Hg1Q+oqkcbep/+ov/VyxUiMOXLlGlSBFQ2EVbvniA4n0Cw8PZsskDgFq1NA7Z0ydOEBhYmpo1+2Bq6sKYMS2pWLEpKpURp07tpH//lqxbt+2LsZtkvpJfIzpt9/fSpflfxozK40hdWevr++OnPhLsDrtkDg40qVWL9bt24fsDziS1Ws3CpUspXKwYqdKmxS/Kjp2LFy+ybt0y1q1bzrx5k3ny5CEtWnRgzpwVHDx4mMaNm9C3b2/e/UIsLQO/TvMqVTA3M2PypUs/dP3bt2/p1LMn6dKlpkqVil981qdPL968ecXo0QPZtWszAAsXruOff1Zy7OhRvL29GWRQJ9I7/XPn5o6XF9ek1vYr9u3bR4WKFUmd2okDBz5vzP/w4QNjx47ixImDTJ48jAcP7pAnTyGmTVvG5s3bGD16LDNmTOXy5R8rWwZih3TpymFvn5Hpi35MICQwMJDhw4eRM2cW8uT50sG/ePFCrl27yMyZY1mzZjH+/n6MGjWDOXNWcfz4WdKnz0C3bh0Mq/N6pmvnzgCs3br1h66/ft2DJk3q4+TszPAokzSAFi1bcuPGDf78sz+XL1/EwsKCtWs38O+/a1i3ejUHDh5k5b//xvhvMPDjpHB2pnaFCqzcto3AoCCd16vVahYunEehQgVJmzbNF5+5u7uzauNGFq1cyfT583n09Ck9OnRg5T//cPTAAerUqkX3Pn0MsWn1TPHirTA2NmHWrB8TnXj9+jVdurQnZZo01PxK7blz1668f/+aGTP+4MSJnQBMmLCBsWP/5dDBg7x+/Zrhw4cr3dZAHKFSqRjQowdXPDy48+LFD31n54EDlKtfH+dUqThx8mRk+qtXrxg/aRJ7Dh5k5IQJ3L1/n5LFirFszhy2b9zI8EGDGD9lCtdv3Iitn2PgB6harBipnZ2Zev36D13v7+/PoFGjyJQtG7m0C24RzJozB4/r1/lr3DgWL11KWFgY82bO5N9lyzhz9CgpU6SgU48ehvhmeqa7dpf71h+MOX35yhXqNGqEU/LkjP9KLKp9p07cu3eVOXP+4N69K1hZ2TJq1BpGj17DwoUr2b17B5s3b4jx35CQSLAOO4DR/frh4+vLnq88/Ur0+fNPuvTuTfp06Vi5fDlvX71CHRpKeEgIt65fp2nTNixbNo+xYwfx33+3qFOnSeR3Z82aw6dPn+jYsT1hYco7MAzEPqldXOhSrx6bHzwgSMd2plevX1OkbFm279pFq1atOXz4GAEBwYSGqvH2/oSHx02Cg4OZO3cKgwf3wtXVjbx5NVu606dPz4jhw/nfwoXs2rUrLn6aAYH+uXJha2rKumu6j9IsXryY6jVqEBISwtSpM7lz5xGBgWoCA9Xcvv2QSZOmcfbsMebOHc/u3RupVetzHe/ffwCZMmWmffs2hsmdHjEyMqZEiZGcuXSJR9IWBS2BgYFUrVqZGTOmUaFCJbZu3YmXlx/BwWr8/IK5cOEquXLlZ+rUkQwc2AkzM3MqVKgBgIWFBdOmzeHcuTNMnvxzwkUGYobq1atTtEgRVm/erPPa06dPUaZMce7evcOwoUO5dvUq4WFhqMPDefP6Ne6nT/P48SNmzZrB1KmTqVu3Pqbao/XVq1enfr169B8wgDt3DMIj+uSvPn346OXF/hPfP5auVqvp06cLAwb0xM3NjX//XcW7d+8JD1cTFhbOjRs3ad6gAVPnzeOPESN4+PgxjbUOHpVKxT+zZvH+/Xs6de9ucMzrEWfnjJQs2Z5NmzYQoiOkybNnTylZshD79++hY/v2nDx2jJDAQNShofh6eXHr+nUCAj6xevV0pk3rQ6ZMOcmcORcAmTNnZvCgQcycNYsDBw7ExU8zIDCwd2/Mzc3ZcO6czmvnLllCndatUalUzJk5kyf376MODkYdHMyDO3cYO3o0B44dY+y0aezYt4+m9epFfnfowIGkSZ2a1h07GkIe6BFTExOGtWnDsVeveKkjhI2/vz/la9dmzsKF1KhWjd3bt+Pv7Y06OJhgPz+uXrhAtqxZGT1uHJ26d8fW1paqlSsDYG1tzYxJkzh24gQz5syJi59mQKB+mTLkyZyZ1ffv67z28NGjlKhQgYePHzNy+HCuX71KeEgI6tBQXj1/zsF9+3j69D/Wr5/Ohg0zKV++cWSYkzp16lO5cjX+/LM3Dx7oflZiJUE77HJkyUL5EiXovmkTjz58EK+7/+ABcxYsYMakSWzZtInfW7XCxcUF0AzqcuTIgbW1Ddu3nyRHjjyUK1eFcuWqRH4/efLk/PPPAvbs2c3MmTNi/XcZkOlUty4fAwNpf/jwd1dXps2ejb+/P5dOnWLSpMmULVs2cuJmbW1Nzpw5SZcuA0uXbgRg9OjJXwQk7969O5UrV6Zlq1Y8f/48dn+UARELExM6ZM3KlOPHOfKdTiE0NJQ/BgygXdu2HD92jK5de5AxY8bIz11dXXFxcWHAgLFUrVqP5MlT0bFjv8jPTU1N+d//FvPixXP69u0Vmz/JgA6yZm2Es6Mjjbt2JSBAeUs9wKZNGzl9+hQHDx5h3rwF1KxZCyvtMR5TU1Py5cuHqakp588/xcjIiK5d/yRlys/HNytWrEznzt0ZM2YEJ08ej/XfZUCmR/fu7Dt6lLlLlnz3umHDBpE3bz7Onr3MkCFDyJs3b+QRieTJk5MhQwZq1apN//5/EhoaytSpX/bXUyZNwtHRkeatWhEcU8dMDUSb/Dlz8luBAnQZMYLnr4QjpMCtWzdYvnwRM2cuYP36DbRs2RInJ81RVJVKRc6cObGysuLK0aNkc3OjTrVqlI0iNJEmTRrmzpjB5q1b+ed/hljE+qRMmc68evWSXr26fX/sNm0S4eHhnDlzhQnjx1OqVClMtMfUbGxsyJEjB+nSuTF6tCY+Yd++0744JtWnTx/KlStH8xYteC2FnTAQ69jY2NCmWTPGbd3K6bt3xesCAwMZOG4cXVu35sjmzXTr0oX06T+LD2XKlAknJyemjx1LjUqVyJQxI93bt4/83NzcnMX//MP9hw/5I4oohYG4p1nlytiZmdHo8GGCvrO5ZfXGjVy6epUTe/Ywb/ZsalSvrhWa+Dx2Mzc35z/trsmhAwd+ETOtVo0adGjThj+HDuXc+fOx+6MMiKhUKnrUr8/Wx49ZrGMRdOCwYRQvWpRLp08zaOBAcufOHdlup0yZknTp0lGxYhMaNepFWFgoPXpM+eL7EyfOwMrKig4dWibZeOMJ2mEHsGnBAhwsLam/ZAn+wgD8pLs7RkZGtP/99+/ey8LCAltbO+zsHL75rE2btvTt25+RI4fz4ge3eBuIeXJnzszKKlVYc/cuM69eFa876e5OtcqVSScFWdGSJYvmGN3XeW5jY8OG9euxsbGhX//+v2q2gV9gcpEilM+cmaarV/NU2P12/fp1fHx86NChw3fVhIyMjEiRIjXW1jaRDtwISpcuw8yZc1m7djVHjhyO0d9g4McxN7dl/+rV3Lx7l65DhoiTu9OnT5EnTx5KlCjx3fs5O6fA1NQUe3uHL9JVKhXTp8+hZMnS9OjRyXC8Qo+0/v13+nbuTL9Rozhx5oziNUFBQVy8eJ4WLX6PHNxLZNHGSbO1/TIGUebMmVm/Zg03btxg7rx5MWO8gWijUqnYtmABZqamNOzZUzwa6+5+ElNTU5o3b/3d+1lZWWFtZYWDgrp7l06d6NG1K4OGDTOENdEjGTMWYsGCJSxfvoTFi2Xnqbv7SWrUqE0qpWB3UXB11cQetbH5Ms/t7e3ZuGEDJiYmDDSENdErsyZMoHiWLDSaNYuXwtjt8vXrBAQE0KlVq++qyRoZGZEyRQpsbWy+UfuuVKEC0ydOZPHy5bgbBAn0hqOdHXurVuXS+/f0Efpx0MzPCubLR2GtUIVE2jRpMDIywuGruPnGxsYsmDOHQgUK0Klnz5gw3cBP0rluXbrmyEGPU6c4JwTo9PX15cq1a7Ru0QJzHWqyadNmwcjICCurL2MPZsuWnWXL1nL58kWWLl0YY/YnJBK8w87RwYGtHTpw7/17Oq1fr3jswePGDZK7uHyhMKXEx48fuHTpLKVKVVD8vFev3gQFBVG3bq3v7vwwELs0y5qVAQUL8uepUxx+9uybz/39/bn34AFuP6AkfPDgbqysrChU6FtRAwcHB9q2acOmTZuYP39+jNhuIPqYGBmxtkULrM3MqL9yJX4Kjvlr2iOzbkIg4wjUajVHj+6hRAnlOt6iRUscHR1p3boFT548+XXjDfwUBXLnZtHkyazctInZCruu1Go1Hh4eZMqUWeHbX+LufpSgoCBKlvw2z42MjOjWrRf379+jb98eMWK7gZ9j8ogRlCpalMadOvFUYVfznTu3CQ0N/aE837NnN8WKFY/ccRmVggULUqZ0aQYPHcoJHUcyDcQeyZ2c2PLPP1y7fZvuo0YpOsxv3vQgdeo0Oh20L1+94rKHBxW0YmRf06dnT/z9/andsKFhZ6Ue+f33NnTr1pP+/Xtz6tTJbz739fXl0aOHP1THT53ajbW1HdmzF/zmM2dnZ1q1bMm///7L0qVLY8R2A9HHzMyMjX36YGxkRKOZMwlQqHse2pBGmaOciFAiPDycvYcOUaFUKcXPO7Zrh5WVFY1btuTld3btGohdiiVPzj8lS/K/O3dYqLDrKjw8nOu3bv3Q/Gz/wYOEh4dToVy5bz4zMTGhZ9euXL9xg4HDhsWE6QZ+ApVKxawSJSjk4kLDgwcVj0PfuHULtVr9pUiIgLv7bvLnLxu5qzoqRYsWp0iRYgwZ0p/z55OeYz56KrFWVrJyEMjKM9rti5sOH+bsjRtM7dNHky7FFJFEJISBlnetSQy0KsRffzXjuXUGBg1aTA0rK7y9vRkyZAjzFyxg2NCh31VXSZ7cmN9+K0JYWBjNmtUkuVbsTBX6Od6Ga9pULFm4kA6dO3P29BGqVav2zX1ev/5xxY/v/VRJ/UQK0SCd2pQUTSKEf3SEGvisPCUpASqhrWiBwcGM37GDPOnS0bhYMVmVR5JjkV7C1KlMCA3Fo25dau/bxz9z5tDm999RBQVx7sIF2vfoQUBAAC0aNYLwcFGt1fvNXcaMGUzF8uVJ56wCtE7Y4M9+7IF9+3Lu7FkmTZpE5y7dFe8j3V9SlpTEjDx9vr3exMRa4UqwTS28M+kISMRDde0iiiiQ0i615IIKoJYLT5+y6Nw5JtWsSbLvtRdS3S9eXDHZ+eNHtv7xB2XGjaPckiWs69mTzClSEOzjw4w5cxg5diw1q1Ujhb09BAYireHMnjqIZ88e07R2edI5aCW4wr/MkJ2bN1O+alU2rFrB4D/++OYeDg7KefLwofIzpWIsqldJMnLSu9QlTaZLTdDcXFMHpW3mUp5r7Zk1axbh4eH066c5Yqz69K20mZWVstqawjgMgLCUaWjeozeXHz+l7+jRvA0OZeTIUZgH+vHo8WM69ezJuXNn2blxI8aBfoQK9SRZ6BNatdK005XypUKl0uywefHRJfKa0qUb0KpVFxYtms/EUcNwVFBFUwmVNjg4espQUhZKmiqPHyunK81t7r3X7Bj99Mn02w+j8uIFWFvLEo+Smrf2vTx++pQ5ixfTslEjCubNKxspvQQh/dS9tPT6Yys9ehSjSI36DB++lty5S5I9ezg7dmxk6NAeZMyYmbx5y+HlJSs/Hj68l507tzN8+Lgvir6V1ee8mjtvITVqVGbu/P+xonh5ZTsVkKqC1C+LviHnaCow6lIS1SXeYGKi+RPdAYf2uWv378fj/n0m9NA6taWBhfQihPpTOFs2Fo0ZQ+vBgwnw9+d/o0djlzo1np6e/Dl0KEtXrGDcqFHYmgR80S9/QXAwubWOupply35+h1EG/FmyZ2fenDn06NWLMxcuUFbJsSfY6Beu7Cw0E7LEVHqX0awPOhXddcSCIzAQzMywsPi2bZS6jIguyc/Pj9mzx5M/fxGqV68X7W5cun7fPqhYcTonT96gVq3qdOu2kLJlW1CjBri7n6ZTp/ao1WqaNWuGiQn4+iu3r15ed1i06C8qVapD6tRRevso9WTYoEFcvHiRKVOmULVaB8X7SK9e6jKlLFGqDpLYZHSUDeHzO9YZgtHGRvMnusanTAmAu4cHy3btYkbfvthYWUVfGlgYx6do3pzNWbJQvnZtKv7zD2sXLyZD+vQEhYUxZeZMxkycSKN69bCPmGMIbWCX/v159eYNNat8DlcU1UYVsGf9eirUrcvGTZvo063btzeR2lFBCVUVrjy2Nw9Vfjcp7JQLVJiZchsi5XlEGZHKUCSWlprKJim56pA1n7poERbm5vRsrd3BrFBxfY2Ulepv8Jti+m/toQNwZdo0um7ZwpscORjaujXG4eHce/CAjn36cPX6dSaPHq0p1IKNvvfvU79JEyzMzclqafl5khul/DVv1oyjJ04wffZsRg4Zgo1S5ZIqjjTOiaZaeIxM4n+0kidPrrmv1HBJ39f+pnsvXzJv9246VqlC7gwZQDrGKhVMoY6b1a/PpjJlKPbHH5Q8dIh1AwdSLFs2wv39Wb1xI70HDyZH1qz8li+f5n0Jdr59uoPz5/czdfx4Sub/7JwIMPrchy1YsJSaNSuxdOn/yJ9feb6ohOTCkPrC//5TTpeKgTT0kdwbEVkYnfXDON1hd+3ePS7FUrDnChWaMG7cVi5fPkKrVtkpU7YsKVKmZOW//zJv7lzGjBnz3e9rVvY0Sidp0qQRr2vXpg12dnacdnePUfsTIyFhYWy5eJFPP6DiG11MTEzYvnkzzZo0oV3HjhQrWZLshQpRvGJFLC0tuXDsGFl07LbqrXXGmH6nV7S3t6d9mzY8efrUcBT6B3ji6cneO3cwM46e4/pHKJAxI8eHDcPTz498Q4dS/u+/SZ4hA0NHjaJPjx5sWrNG5z2maYPUfm+lp8Rvv1GsSBFOG45W/BA7du7kw3diiP4KkydPYezYv5k0aQL58uWmcOnSZM6Th//u32f/9u3Uql79u9/fc/jz0WbpuI2xsTHt2mniFp75gQDZSR0fX1827tz53eNLP0uyZMmZNesUyZOnp2/fMvTrV46CBdPRtWszSpaswK5dZ3QeqWjcWCMs4uoq13E3Nzdq1KjF+fNnDWIEP8ClO3e4/gOBpX+G3+vUYcP06ew5cYJsNWpQulIlUrq6smHLFhbNm8fQgQO/+/33Hz7gqR11O2vj2ynRpXNnzMzMOP2do1oGNISEBLNnz1YCAnQs9vwEJiamDB++i2LF6jFjRksGDixOzpxZKVeuFI6Ojpw9e4kMGTJ89x6DBmkccLa28qkZR0dHWrdqxZ27d/H0jJ3+KTHx8MULDpw//93x8M9SrHBhju7cyctXr8hTsiTla9Uiuasro8ePZ2DfvqzSEbsUYPGqVQC4ubqK15QtWZKC+fJx2tCP/xBbDxzA09s7Vu49u18/RrZrx+glS8jz++8ULFeOrEWK8PT5c47u2EHl8t9fKFunFfz7npK4qakpPbt1IywsjPMXL8ao/YkRLz8/Np4+jfF3wgb9LKmdnDg1eTIpHBwoNXAg5QYPJk2uXLTu1o2aVapwau/eb8IQfU2DFi0Avrv7Mlu27FSpUp1z59yTXBibOHXYje3alaOxeLSwdOm6LFt2jQoVmhEYGMiokSO5e+cO3bt3/25cK+CLQfv3JiIqlYqmjRszc/bsSAefAWVsLS25MXEi7cqWjZX7W1hYsHTRIrZt2kSqlCnJmD49W1av5syhQ+TOmVPn9yOCmFauWPG711WqUAFHR0f69++b5BqI6NIoXz6ejRiBtY5J9c9S0NWVy+PGMaBGDQJDQmjfujXXL1xg8t9/YyEtZSiQVseO0aaNG7Nr714OHT36qyYneg4fOsS4ceNi5d4qlYohQ4Zy8qQ7RYoU1QSYnjePmxcuUEVHvQUw0w4QShQp8t3rMmfORs6c+Rg0YgSBsbDAkJjImysXT69coUCePLFyfxeXNMyYcYyePWejUqkoVaoi27efZNGiDTg7u+i+gZbMmbN+9/NGjZrw5MkT5s6d+YsWJ36m9unDrhmxJ7jVuFo1rm7ZQsMqVQgKCmLcqFHcvXqVju3a6XQMh/9gn2xsbEyTxo2ZMnOmYfFNBw4OyTh58hYNGrSIlftbWFjTr98qBg7chJ2dM1myZGHz5u0cO3aK7Nmz6/y+o6OmHShcWPl4ZATVqlTBzs6O0aP7ffc6A9CqenWebNuGua6dnT9JscKFuXryJH26dCEgMJDO7dpx88IFxo0apXMRJiopdZzyaFa/Ppu2b+ekYVOFTk5v3MiIXrEjsmZkZMTojh05OX8+BbJmxcrSkhX//MON06cpJxxrjoqVNgxCLR2OvTy5c5Mje3b+HDpUpwJ1UqdIliy8WL6cHOnSxcr9MyRPzslJk5javj1qoFqFCpzZv59V//sfjsmS/fB9sug4OtuoUVPu3fuPpUuTVqiqmF9K0TMpUqSnT59ZlC4VPceKvb09jo6O1K1bT+e1UydNYv/Bg3Tu2pWD+/f/pKUGYoq6depQt04deWuyQPPGjVmxahV1atb87nXJkydn/uzZNG3Viq1bt9CgQcNfMdfAL2JnZcXohg0Z3bAhNGgQre/WqFKFx0+fKm+dj0K3zp3ZvGUL7bp25b+rV3XGUDIQuxQtWpSiRVdiHKjrDP9X39MGNe4RRVVOCRMTE2bOXEnNmoX5e9Ikxo4a9dO2Gvh1jI1NqFevB/Xq9eAH1l6+YODAkUyePIZ8+b4f0LpUqdL07t2XUaOGUqtW3R+Km2Ug9nBNm5a5w4crn/f+DsmdnbGwsKBj8+Y6r501YwaHDx+mW58+7Ni06SctNRBTlCjRkBIlGlKjRvS+16hRWw4e3E7FirW+e12aNGmYPX06bTt2pE6dZlSsGM0HGYhRHBwcGDt8OGOHD/+B855fUq5kST75+el07vXt1o0tu3fTtnt3bp8/j1ksOSAN/Bgl8uShRJ488AOO+KiULFQIgI5Nmnz3OjMzM1YuWULxMmWYMmOGzh3ZBmIXUxMT+tStS5+6dUGHINzX/Nm3L1NmziRnjhzfva5ChUp07NiVUaP+pGrV2qRNGzsOyPhGghediElKlCjBmze6ZeDt7OwYPnQohw4f5pY2YKqBhEfELrzbP3BMu0mjRhQsWJA5c2bHtlkGYpECefPi9QNHAIyMjJg0dizPX7xg286dcWCZgdggZYoUODk68kCKsxaFnDnz8nvz5ixatswgKpSAyZVLs/Pvw4f3Oq8dNWoMarU6yaqOJRZKFi7MyzdvdF7n6OjIkD//ZNfevTyQgo4aiPdky5YbgPv3b+u8tvXvv5MlSw6WLp0V22YZiEUK5cv3Q8c3jY2NmTByJA8fP2bPgQNxYJmB2CBDmjRYW1lx7wfE3woXKkSThg2Zv2iRQVQoAZM3t6Zd9/X9Ng7214waNY6goCBWrdJ9nD6xYHDYRSFjRtcfVoZs/fvvpEmThqXLlsWyVQZii9SpU2NmZsaTp09/6PrBg4dy+vQp7t69G8uWGYgtMrm68vLVqx/q1AsXLEil8uVZvno1oVIgWgPxnkwZMvBEUuX5isEDBvD23Tt279sXy1YZiC0yZNDEP3n2THdfbmtrS/fuvdm4cR1+OhWYDMRXolPHO7Rpg7OzM8tWroxlqwzEFmnSaGLcPX/+WOe1KpWKXr2Gcfr0EZ4+NYSxSai4ZsjAk2fPfijmaOkSJShZvDhLV60yxChNoKhUKlzTpuXJD4YvGDJgAM9fvOBglLjFBhIWrtrYpU+fPdN5rZOTE+3adWXTptVJZoE9enuSbW01CiVaVaFvkI4kSulSLAJJ5UiQ50iv8Cv27lOOe1KwoHLQwxRG70hpa8Ob169RvX/3+QPh6Jy5qSmtmjdn0tSpDBs8mGTa89kZ0iv7QH0/KdsjKYvoEoX7GklwUhIPilBG0Rl70tb2sxLR10gxw6KrdOfgoJyePr1yulQ+pB8jvGRV9+4kNzbmzZIlcOHC5w+0wW2/pkHN6tja2jLur5GsiTLYDxI0SaO70KMkzCMp0qhtlEUdVJLyUYR6rC6jLCw+/1FCOsYg3Te6imUSkiqhFKdEOFaVwtMTgHeHDpEm4l0VLqx4rcrKip49elCvUSPcL12ijFZZ0BTlOBlubspti3Gw0Jl4RVNaUnoHUr2KeMe6nI0RStBCexwkKLBKOfjW/1tF2OiKWkkbl/NkVS5/5v6eyl8wMiKFiwtv3r37wgip6zFNnp2SJUowatw4GjVuHJkuqRVK1UES2ZLSJWFgaROQUnqExo5Ov5Obm6ZdlxoXqbxIbYKkGii0648eK/eF0m2kPlLq29wyazLX79Nr7O0+h8Z48VL5uQP/7MfMmVNZs3oxvXv3jkwPDv72eqlqSq9SbOaEghBipyyaIAaCj8gTXUf2jY01hVU6bioVQF0SZz+KVKaUdr5Ksm3CuPOFmStWzq68en+CF+GpItPT+Ci3CVZ2djRv2pSJ06YxePBgneERrEOF9jtYaLykSi4hDd6k9xBR2HTlgbZdVyo6UrmUitl7YbOqZII0dLt6VTld2ggltdNFbO7j5OBA2KsbZPD/vMsuBOWjVF27NGbgwI4sWjiGpUuXfr4+VLlNkOq5DtHNL5DemYRU1SLegc5iFaH2Ht1GSip/0R3HS2M94f5PXiqPlzLYKdfbcMtMhIaGcumxMQ4OmsY/i9EDxWtVqVPTo2tXWrRty6UbNygijPEikdo/aYAipQu/1ThYeWegvdD2hIRrxhs65xBGRpo/Ut5KFVrKQ4XfFd2+7UNGZfVYJwchTJV0+uHqVVKYm/Pm/v0vGw7hneUuXIRChQox8u+/qVH/c6gclRSvOrqDtNfC6TvpHUtlSqonoDus07t3mu9LdVayRbpvViHOr5S5UroUt0SaswgdR4p3Gt/Lm9OnyRXFZotSCqruwLDB/Vi8eB67d66kU8eOken/Z++sw6JKvzj+HRi6QxpEVERBRVQsFOzOtXuttX722t26utaqu3Z3r61rd6FiowgikiLdM/f3xzCI8h5gFBji/TzPPOKZO/e+95637rnvPV9t7azzdeoSUKdEbU/109R8lHKJ/LiKZAbgK+wyYV6qFD5HRuZ6NU3r9MQb4eHhOWzJKayYa2oiNJe571RVVdGqeXOE5OLVG07hxDw9sB76hQjwfEdDLy8AQAg1WHMKPRkBu1zStnVrBHN/F1lKlZIlpA/NZT9taWmJMmXK8DZehDE1NUdERGiuRaFat2wJiUSCSOqGglPoMTcxQWgu1cnV1NTQsmVLhFI30ZxCj4mJOQAgIiJ3/Xpj+dyNz9eLLOYGBghVQMW2bdt2fBwvwpinR71ye39mb28PCwuLEuNzHrDLhHmpUhAEARG5nATIFWlyUjHjFF7MNTURlo1s+PekSSTc30UYecAuLJcDgjx4z31edDE3M0OYAssd0tLSuL+LMOrq6jAyMkKYAjfn3OdFG1NTM6SkpCAmJnc3d/J+XUXRlYKcQoO5qWmuA3YAb+NFHVNTWcDu8+fcBeD43K3oY25oiDAFAna8jRdtdLW0oKWhkev7M6Bk+ZzPVjJhlf7KhV8u89g98vaGpqYmbPNJIpmT/1hqacEvl6+wCIKAR97eqEAtI+YUeswMDaGiogK/4OBcbf/I2xsAuM+LMJbm5ggODc11ngvexos+VlZW8MulqEBoaCg+fvyIChUq5HOpOPmFubnstacPH3Ln80fe3tDT04MFld6FU+ixKlUKfrnMWygIArx5v16kKVVK1lYDA3PXxh/yuVuRx8rICIGfPyMllZ2G5nsePXrIx/EijEgkgpWpKfw+fcrV9oGBgYiIiCgxPucBu0xUdXaGmakpDuZCFVIQBOzZtw/NmzaFJvVSM6fQ08LSEj7R0XhFJUrKxL379/HOzw/t2rQpgJJx8gMNdXU0rFoVh65fz9X2u/fuhb29PSpXrpzPJePkFy0aNUJKSgr+PXcux22/fPmC02fP8jZexGnRvDmOHT+eq/QW+/btk6U7SE9xwSl6uLq6w8DACKdOHcpxW6lUij379qF1y5YQK5JAhlOoaOHhgfs+PvDPRVL6a9eu4ePHj2jXrl0BlIyTH+jq6sPNrS7Ons25jQPAngMH4FShAsqVLZvPJePkF81dXRGflISzVPLLTISFheHChQto25a38aJM85o1cfjatVyJxezZuxcaGhpo1rRpAZRM+fCAXSbEYjF+adMmxxs7iUSC6TNnwvvxY/xvxIgCKh0nP2hjZQUtVVWczCGiHxAQgCEjRqCCoyOaNGpUQKXj5AddPT1x7elTROWwsnL3nj3YsWsXRg4bVmKWXBdHyjk4oFrlyjiRg/JrTEwM+g0YABUVFfTv27eASsfJD7p27Yrw8HDcvXs32+0ePLiFOXPnonv37jClBHs4hR51dXU0b94eFy5k/7A1LS0NE6dMwctXrzBi2LACKh0nP2jfuDHUxGKcuno12+38/PwwbPhwVKlSBfXrs5OXc4oGLVt2xe3b/yEhgVZWEgQBm7dtw/5Dh/C/oUP53K0IU7l0aThZW+PfBw+y3e5LVBT69esLbW1t9O7du4BKx8kPujZqhKDwcHj7+ma73dWrV7Fw8WL07dMHBgYGBVQ65aLY40Vzc5m6HJX3g1IuoWRm8kJGE4ChoVEWm6srexdUER++kCWqdqz6C9Zv24bd5z/CyalahvIeIHsye+fOTcybNw137tzA3LmLULdBcyRmeoifoKDwo6JCTFT5qQViHz6w7XKdhewEawAAJiYy/7GUeSh1NWqnlEIddVLU6w6UrIuDA9tOsWcPNAE0atsWhyIiMGHPHpk9U2Q/KioKe/ftw5Rp02BgYICTJ09BVVsHmVNba0glzN2npLCVJanLw/I5VT8of6ursxVrteSKczm9/isSydo3tfJAUaUxRaV5qIpPNWjqtTfqPO3t0aJ5c0hWrsSxJ0/Qv337LPX42bNnWLRkCfbs3Ys+vXtjzJgx3/Z5xDmpphDHpByuqHNz8cTpG+Q+UWXXwwwMDGTbEj7USGJPjoMi2OqxrHRxinb1VMq5q5Hs+u3hwbbL05g1aNQO27atxbsoLWhra8MyKTZjm6SkJJw6dw6/z5iBiM+fsWvXfhiZ2SI50+VWVFCVqvZv37LtVO57ys5ST5Sfa459uhyqjSsYuEok+jktTbYAACXapmgzobocASK4Va+BUqVK4cDBQ6hbzyPLNp8+BWL79nVYv34p3N1rY/HiNYhP+PbGjtXcFFUFphCM2RNMKdVOqP5S3lfkJJykri77UH2IohMRqjzUgy/KWaw5BJV7kJAMtRbLclp1blIXBw5sQ+z7G3AqXx7Q/1qPJRIJrl+/jqnTp+Pe/ftYvnwF6tT3QuaRm7oEWurEfFdRZUnqmlHbU52O/Drk9GZHaiqQkgLVyKwpXoyIV4ETpex+lJrqEULQJNSpUoK4lH2/n0wN1rFCA6w9fB2mLvMAAF6ZlPqior7g0KFdWLx4GgwNTbFhw1H4vv22r6LKo6gQKms/DRqwt6Xyo1PXUt635NivR0cDEgktV0idLNV5Ufd5VL0k5i0SQ7byNXU+Epus93MAkBYC1KvXCqmpY3Dx4r9o1ao74PR1zi8IAp4+fYoFCxfi4MGDGNy/P4b++uu3zqQOqqhUJHUtqWtG2MMj2WOn/BLnOG/S0ZE1TmqioKCvWP23KtEIq1eyZ9pTxWzF8tg4duBUj+rH3NwAAK1atMDOY8fwl7MzNDQ0vvFnYmIiTly4gN/nz0dMXBwObtkCUxGAyEy5LRX1IXUtqe2p/VN1gVXX5G02p4mEpaXM31SHTHVcVEWiZLipcig6kacmexQ2Nqjj5gaDGTNw8PVrVO/XD8C3cYzAQH/s2PEXNm36E57162P5okVZzlssztquqEtGxUhyEI/PAjVWUVMfeTWLjWV/z4KvsPuOOnVawNzcBosWDUVQ0HsAQHDwJ8yfPwOVK5dGq1YNEBYWgrNnL2PChMlKLi0nLxg8aBDu3r2LxYsXIzExEVKpFFeuXEGnzp1hbmWFEf/7H9q2aYPHj5/AxcVF2cXl/CR2lpZoUa8eZqxbh7s+PhAEATExMVi9Zg1cqlZFZVdXnL9wAdu3bsX2rVuhmlPAi1Po6d59AGJjYzBlyjBERX2BIAh49uIFhowaBfNy5dC5Tx+UtrXF3buP0bJla2UXl/OTqKqqYsCAgdi0aSOOHDkCiUSClJQUHDu2F5061Ye7ux02b16FMWNm4uzZqzBUNPLAKXS0a94c5qVKYfCECfiQ/rDv48ePmDJ1KuzKlEHDJk3wJSoKly9fw+jRY5RbWE6e0LjxELx8eRWnTv2JlJQkSKVSXLt2Ef36tUflyuaYOXMM2rbtgmPHHsPBoWTkOSrO2NuXh7u7F1asmILnzx9CEARERUXhzz//RCVnZ7hWq4Zr165h75Yt2LB6NReVKQYM6tYN4Z8/439z5iAqJgaCIODx8+cYMH48zKtVQ/fhw+FUrhyeXruGpunKwJyii7q6Ovr37Yt1//yDf0+ehEQiQXJyMo4c2YlOneqifv0y2L37b0yYsAAXz5yBnp6esotcYPAEHt8hFouxZMlhjB/fHu3bO0BfXx8xMTHQ1dVFt2590LlzT9SqVReamnwgKC60a9cO06ZOxZSpUzFr9myIRCIkJyfDxcUFSxYtQpfOnWFtbQ1BhQduigsbZsxA21GjULtPH+gNH47Y2FiIxWJ06tgRixcsQLNmzaBOPXXlFDlKl3bAqlXbMX78QBw+vAva2tqIi4uDtZUVxgwbhu6dO6NihQpIVi85g39xZ9q0aXjx4jk6d/4FOjo6SEpKgkQigYdHY6xcuQPNm7eHnp4+uWqOU7TQ0NDA4c2b0aF/f5SuUSNj7qavr4++ffqgZ/fuqF27NqQi7vDiQu3aXfDu3X3s3Dke+/ZNhUgkICUlBc7OVTFr1nK0bdsZ5uaW5OoHTtFj/vwtGDasDbp0qQE9PT3ExsZCTU0NXbp0wZ/Ll6NJkyZQS05WdjE5eUTFcuWwadEiDJ0xA5sPHICWpibiExJgZ22N8UOGoHv79qhQtmzOK445RYa5s2bh9Zs3aNepE3R0dDIW0jRo0ByrVu1GkybtoKOjC1XVktXO+cyFgYuLOw4ffoW7dy8iIcEXtral0bRpqxLznnRJQyQSYf78+ejVqxcuXrwIQSqFa9WqqF+/Ps9/UUyxtbDA3V27cOXBA3h/+QILCws0adwYNjY2yi4aJ5/45ZfeqFPHC1evnoc0MRhO5cujeZMmUFNTU3bROPmArq4ujh49hjt37uDmzZsQBAPUrFkPFSo4K7tonHyinrs73ty6hYvXruFdeDjKlCmDVi1blqin8CUJFRUV9OmzDF5ev8LH5yIcHVVQuXI1uLvX43O3YoqNTRkcOvQQd+9eRuRnb1hZWaFp06awyvz6HQ/YFSsGduuGph4eOH/jBqITElCxXDk08/TkokHFFH19fZw6fhw3b93C7Tt3IBWZomZND5QrV1HZRVMqvLYT6OoaoHHjX77JYccp3lSsWBEVK1ZUPFcYp0iioa6O5nXrojl/zbnEYGVlgx49BsBSV4HEEZwii4qKCurWrYu6deuS6dU4xQsjQ0N0addO4VyMnKKLra0zbG2dwd+IKxloaGiiQYOWqOjUQtlF4RQQdtbWGNStG51vkFOsUFFRQX0PD9T38EDAJ/5QHVA0YFeqlCyDnqKZtqkEl4pm9SOy9+kzVsLmVW5EKq8wlbuUSpZOXTIqIKiorgd16amco/KUPfG02JIMGxs6ySX1dMPOjm2nLgIVIKPyChEJkxVO3kxctNg0dtJUasV1TAz7VVnqBpEab1inm1f5gDOuTU7BSH19QEuL9i1lpy5OXi1TpxLBUgmWqYbCqoPPnrG3pRxFXQNFM1hTKJqcnCK3PpdIZGWkOhHifKl8tayughL5opo4dcmoaiDXi/kej6x6AwCAdwnsFTfUPT5VnSioRLaK5v2mqhqr/cu3zfGhs6Zm9u1SwfqqJSZOKoE9CGsQ9VuDmg4QF00QsxPkU8WnrrEiOampV+sUTYFHNXE9dWJlSE6qVTlNeOQDPTUXU6S/BBTvG6mJkSL7oESonJzYduKaqBLnpKVg/0fOXylfUNeMmkzmNM7k1K9LpbIPqzxER6pF1AMtfXZZqDZY2iqVaTc2Zt94KaqFQm1Pi3Gx7VS1VFRTgFUVqLIoWs0cHbPfXwbyfp1qy9TNDGWn5lbURSDalWpIENNe0YE92KYSwicVHRh9Y5KCFYeatCgqHEBtT01QiP2UsiDG4fT9S5DDDZq+vqzyUf00VcEVEZWjzonYtxrRL5IhF2pgpm5mFPUJda6KCpBQQQLqGlOTBdZ55Xbypqcn+1ATDkUF66hzUlQlk5hPCprse2kRofIcncCuJdQt/5cEdl/Bqgpv3rD3QV0yqvvLi1tOAChtJ6Qfny3OxoInYuNwOBwOh8PhcDgcDofD4XAKEQqtsIuRhyIVXWFH6dYKRGRRwSf8QkrWp3nUIalAM7U9tQKNCs5T21OnpIikLwBQaTmohxRUeVJT5d9n/9guJrsleJR6JhWyVnSFHXVxqCcvij6mJeyxaeynw9RuqGJSPqEe4LAuJ7UPqulQD2jU0neUrT8BxCQm0oUBFPdhXqHoI29FlF2pi6asFXbU9lRelhyWIeToc3kFpo5LnG+qCvvpFqtvpIogkbDtVFGofldebb9H0XFA0bctqEtPnS9lp8pP2VnXQe6mhIQc+nT5RcmrlZxUG1R0pREFtcJOPW9W2FFdBauPVXQlJAU1RArUCrsc5lYxVMHkx5NXPMq3eWVXdBUZq0FQ21KTH0UnUYr2r1QFoZyeyp4/gMqVSTXyHJbXxuSw5CqjnbPqBjWBoCDKQrVBETGHik1SbIUddSkVXalMuVDR+RVVBVnloaoZNQZQZZEvXomNzcHf8h1Q9ULRmxyqLVNOoQZz6mIS+6fmFWpSRvukKgLVphRdnUWNYVRfQTld0Vdi0ssTk0PfluFzRSsb1bewzlfRRqgoVBkVnfMr2n9TdYQ6X0Vv9KjzYrUHeZ+e0zgu/566BlQZqXOl+grqGlDtgah/AtgdJrXCLiaN3YdQh6WmCqyqoGgsR4PdDZHdoqKpsLU05Svsclo6/RWRIOQ8cicnJ0OTK7AUWywsLPD+/ftvfMx9Xnzh/i55cJ+XLLi/Sx7c5yUP7vOSBfd3yYP7vGTB/V3yYPmcRa4CdoCswiRz5Z1iibq6OrOicJ8XT7i/Sx7c5yUL7u+SB/d5yYP7vGTB/V3y4D4vWXB/lzwon39PrgN2HA6Hw+FwOBwOh8PhcDgcDif/4aITHA6Hw+FwOBwOh8PhcDgcTiGCB+w4HA6Hw+FwOBwOh8PhcDicQgQP2HE4HA6Hw+FwOBwOh8PhcDiFCB6w43A4HA6Hw+FwOBwOh8PhcAoRPGDH4XA4HA6Hw+FwOBwOh8PhFCJ4wI7D4XA4HA6Hw+FwOBwOh8MpRPCAHYfD4XA4HA6Hw+FwOBwOh1OI4AE7DofD4XA4HA6Hw+FwOBwOpxDBA3YcDofD4XA4HA6Hw+FwOBxOIYIH7DgcDofD4XA4HA6Hw+FwOJxCRL4G7LZt2waRSASRSIQrV65k+V4QBJQrVw4ikQheXl75WRSS/v37Q1dXVynHlvPx40eMGTMGnp6eMDQ0hEgkwrZt25jbnjx5En379kXlypWhpqYGkUhUsIXNBu7v3JFbf8fExGDBggXw8vKChYUFdHV1UblyZSxZsgRJSUkFX3AG3Oe5Q5E2Pm3aNFSrVg3GxsbQ1NSEg4MDhgwZgoCAgIItNAH3ee5QxOeZSUxMhKOjI0QiEZYtW5b/Bc0B7u/coYi/vby8Mq5p5k+LFi0KttAE3Oe5Q9E2Hh8fj5kzZ8LR0REaGhowMTFBw4YN4evrW3CFZsD9nTty629/f39m+y5M7Zz7PHco0saTk5Pxxx9/wMXFBTo6OjA3N0fLli1x69atgi00Afd57lDE5ykpKZg5cybKlCkDdXV1lC5dGlOmTEFiYmLBFpoB93fuOHLkCHr06IFy5cpBS0sL9vb26NWrFzkuX7x4EXXq1IG2tjZMTU3Rv39/hIWF5Xs5C2SFnZ6eHjZv3pzFfvXqVbx79w56enoFUYxCy9u3b7F7926oq6ujVatW2W579OhR3LlzB5UqVULVqlULqISKwf2dPbn194cPH7By5Uq4ublhw4YNOHHiBDp37ozZs2ejTZs2EAShAEudPdzn2aNIG4+KikKPHj2wfft2nD17FhMmTMDJkydRq1YtfP78uYBKnDPc59mjiM8zM2PGDMTHx+djyX4M7u/sUdTfDg4OuH379jeflStX5n9BFYD7PHsU8XlcXBy8vLywefNm/O9//8P58+exdetW1KpVCwkJCQVU4uzh/s6e3Prb0tIyS9u+ffs2Jk2aBADo2LFjQRU5R7jPs0eRNj548GBMnjwZHTp0wL///ou1a9ciPDwcnp6euHfvXgGVOGe4z7NHEZ/36NEDf/zxB4YMGYLTp09j0KBB+PPPP9GtW7cCKm3OcH9nz5IlS5CQkIBp06bh7NmzmD9/Pry9veHm5obnz59/s+3Vq1fRsmVLmJub4/jx41i1ahUuXryIxo0bIzk5OX8LKuQjW7duFQAIgwYNErS0tITo6Ohvvu/du7dQp04dwdnZWfD09MzPopD069dP0NHRyffjxMfHk99JJJKMv+/fvy8AELZu3ZrjtiNGjBDy2YUKwf39lbzwd1xcnBAXF5fF/scffwgAhOvXr+dJWX8G7vOv5FUbZ3H69GkBgLB58+afKWKewH3+lbz2+d27dwV1dXXh4MGDAgDhjz/+yKui/jDc31/JK397enoKzs7OeV28PIP7/Ct55fPRo0cLOjo6wrt37/K6iD8N9/dX8nMc9/LyErS1tbNcX2XAff6VvPB5UlKSoKqqKvTu3fsb+6dPnwQAwqhRo/KsvD8K9/lX8sLnt2/fFgAIy5cv/8a+cOFCAYBw/vz5PCvvj8D9/ZXs/B0aGprFFhQUJKipqQkDBw78xl6zZk2hUqVKQmpqaobt5s2bAgBh3bp1eVdgBgWywq5Hjx4AgL1792bYoqOjcfjwYQwYMID5m5SUFMyfPx9OTk7Q0NBAqVKl8OuvvyI8PPyb7ezt7dGmTRucPHkS1apVg5aWFipWrIiTJ08CkC0JrVixInR0dODu7o4HDx4wj/f8+XM0btwYOjo6KFWqFEaOHJnlqacgCFi3bh1cXV2hpaUFIyMjdO7cGX5+ft9s5+XlBRcXF1y7dg1169aFtrY2eZ4AoKKSezcosq2y4P7OG3/r6OhAR0cni93d3R0AEBgYmKv9FATc53nXxlmUKlUKACAWi39qP3kJ93ne+jwlJQUDBgzAiBEjUKNGDYV+WxBwf+dvGy+McJ/njc8TEhKwadMmdOnSBQ4ODrn6jTLg/s6/Nv7u3TtcvXoVXbt2hb6+/g/vJ6/hPs8bn6uoqEBFRQUGBgbf2PX19aGiogJNTc1c7acg4D7PG5/fvHkTALKswmvTpg0A4PDhw7naT37D/Z29v83MzLLYrKysYGNj8819dlBQEO7fv48+ffp8cy9Wt25dODo64ujRo+Qx8oT8jAbKo7v3798X+vTpI7i7u2d8t379ekFHR0eIiYnJEt2VSCRCixYtBB0dHWHOnDnChQsXhE2bNgnW1tZCpUqVhISEhIxtS5cuLdjY2AguLi7C3r17hdOnTwu1atUS1NTUhJkzZwr16tUTjhw5Ihw9elRwdHQUzM3Nv/l9v379BHV1dcHOzk5YsGCBcP78eWH27NmCWCwW2rRp8835DB48WFBTUxPGjx8vnD17VtizZ4/g5OQkmJubCyEhIRnbeXp6CsbGxoKtra2wZs0a4fLly8LVq1dzdc0UeWpXWFfYcX/nj7/lzJo1SwAgPHnyJNe/yS+4z/PP56mpqUJCQoLw6NEjoV69eoKjo6MQGxubq2PkJ9zn+ePzadOmCfb29kJcXJzw/v37QrfCjvs77/zt6ekpaGpqCkZGRoKqqqrg4OAgTJ069ZtzUibc53nr82vXrgkAhAULFghDhw4VDA0NBTU1NaF69erCyZMnc7X//IT7O//nblOnThUACDdu3MjV9vkN93ne+3z06NGCrq6ucPToUSE6Olp4//690KNHD8HIyEjw9fXN1THyE+7zvPW5fCWdn5/fN/bXr18LAIQ6derk6hj5Bfe34v6W8+7dO0FFRUUYO3Zshu3s2bMCAOHUqVNZtu/cubNgaWmp0DEUpcACdpcvXxYACM+ePRMEQbassH///oIgCFkqy969ewUAwuHDh7/Zn7zhZF52WLp0aUFLS0v4+PFjhu3x48cCAMHS0vKbZZDHjh0TAAgnTpzIsPXr108AIKxateqbYy1YsOCbwZVa+hoYGChoaWkJEydOzLB5enoKAIT//vtPoeuV+RyLesCO+zt3KDrpe/LkiaClpSV07NhR4WPlB9zn+ePz4OBgAUDGp1atWkJQUJDCx8oPuM/z3ufe3t6CmpqacPbsWUEQhEIbsOP+zh05+XvatGnCunXrhEuXLgmnTp0SRo4cKYjFYqFBgwbfvI6jLLjP89bn8uuir68v1KtXTzhx4oRw8uRJoWHDhoJIJMpo98qC+zt/525paWmCtbW14OTkpPBx8gvu87z3uVQqFWbOnCmoqKhkzN3s7OwEb29vhY+VH3Cf563P5eXfuXPnN/bNmzcLAARHR0eFj5eXcH8r7m9BkC2W8PLyEvT19YUPHz5k2Hfv3i0AEG7fvp3lN0OGDBHU1dV/6Hi5pcDe4fD09ETZsmWxZcsW+Pj44P79++QSxZMnT8LQ0BBt27ZFWlpaxsfV1RUWFhZZ1E5cXV1hbW2d8f+KFSsCkC2L1NbWzmJnqS326tXrm//37NkTAHD58uWMMolEIvTu3fubMllYWKBq1apZymRkZIRGjRrl4soUT7i/8x5/f3+0adMGtra22LRpU74e60fgPs87TE1Ncf/+fdy4cQMbN25EZGQkGjZsiODg4Hw53o/Cff7zpKWlYcCAAejWrRuaN2+ep/vOa7i/84b58+dj2LBhaNiwIVq1aoU1a9Zg8eLFuHbtGo4fP57nx/sZuM9/HqlUCgBQV1fHmTNn0LZtW7Ru3RonT56EpaUl5s2bl6fH+xm4v/Oes2fPIigoCAMHDszX4/wo3Od5w4IFC7Bs2TLMnj0bly9fxvHjx1GhQgU0bdoU3t7eeX68n4H7/Odp2bIlypUrh0mTJuHChQuIiorC2bNnMXXqVKiqqhaqNBnc37lDEAQMHDgQ169fx44dO2Bra5tlG5FIxPwtZc8rCiwhkkgkwq+//orVq1cjKSkJjo6OqF+/PnPb0NBQREVFQV1dnfl9RETEN/83Njb+5v/y31H2pKSkb+xisRgmJibf2CwsLAAgQ5UxNDQUgiDA3NycWabv85JYWloytyspcH/nLQEBAWjYsCHEYjH++++/LOdaGOA+zzvEYnFGHrN69eqhRYsWKFOmDBYvXoxVq1bl23EVhfv851m5ciX8/Pxw4MABREVFAQBiYmIAyM4pKioKenp6UFVVzfNjKwr3d/7Ru3dvTJgwAXfu3ClUKpLc5z+PvIx169b9RpFPW1sbnp6eOHbsWJ4f80fh/s57Nm/eDDU1NfTt2zffj/UjcJ//PC9fvsTMmTOxdOlSTJgwIcPesmVLVKpUCePGjcsIPhQGuM9/HvkDmD59+qBZs2YAZLnHFy5ciHnz5n0TxFI23N85IwgCBg0ahF27dmH79u1o3779N9/LyygvU2YiIyPz/b68QDOY9+/fHzNnzsTff/+NBQsWkNuZmprCxMQEZ8+eZX6f1xLEaWlp+Pz58zcVJiQkBMBXB5mamkIkEuH69evQ0NDIso/vbfkdaS0KcH/nDQEBAfDy8oIgCLhy5QpsbGzy7Vg/C/d5/mBjYwMrKyu8efOmwI6ZW7jPf45nz54hOjoa5cuXz/LdjBkzMGPGDHh7e8PV1TXPj/0jcH/nL4Xpqbwc7vOfo0qVKuR3giAUOp9zf+cdYWFhOHnyJNq1a8dMbl5Y4D7/OZ48eQJBEFCzZs1v7GpqaqhatSquXr2a58f8WbjPf55y5crh9u3bCAoKQmRkJMqWLYvo6GiMHj0aDRo0yJdj/ijc3zTyYN3WrVuxefNm9O7dO8s2Li4uAAAfH58sQiM+Pj4Z3+cXBRqws7a2xu+//45Xr16hX79+5HZt2rTBvn37IJFIUKtWrQIp2+7duzFq1KiM/+/ZsweAbEmnvEyLFy9GUFAQunbtWiBlKupwf/88Hz58gJeXFyQSCa5cuYLSpUsrrSy5gfs8f3j79i0+fvyIdu3aKbsoWeA+/zkmT56M/v37f2MLCQlBjx49MHToUHTr1g3lypVTStlYcH/nD9u3bwcA1K5dW8klyQr3+c9haWmJOnXq4ObNm4iJiclQCU1ISMDVq1cLnc+5v/OOHTt2IDU1tdC+DiuH+/znsLKyAgDcuXMHnp6eGfbk5GQ8evSoUD5o5z7PO6ytrTNW1E2fPh06OjqFrs1zf7MRBAGDBw/G1q1b8c8//+DXX39lbmdtbQ13d3fs2rULEyZMyHjr5c6dO3j9+jXGjBmTp+X6ngIN2AHA4sWLc9yme/fu2L17N1q1aoXRo0fD3d0dampq+PjxIy5fvoz27dvn6Ssj6urqWL58OeLi4lCzZk3cunUL8+fPR8uWLeHh4QFA9lrakCFD8Ouvv+LBgwdo0KABdHR0EBwcjBs3bqBy5coYNmzYD5fh0KFDAJAhT/zgwQPo6uoCADp37pyxXUBAAO7fvw9AJhOf+bf29vYZr9EVFri/2eTG32FhYRl5yzZv3oywsDCEhYVl7MPGxqZQTgK4z9nkxudPnz7F2LFj0blzZzg4OEBFRQU+Pj5YsWIFTExMvnnVojDBfc4mNz53cnKCk5PTN7/z9/cHAJQtWzZjwlKY4P5mkxt/X79+HQsWLEDHjh3h4OCApKQknDlzBhs2bECjRo3Qtm3bn7kM+Qb3OZvczt2WLVuGhg0bonnz5pg0aRJEIhGWL1+OiIiIQpXDTg73N5vc+lvO5s2bYWtrW+jzkwLc5xS58bmHhwdq1qyJ2bNnIyEhAQ0aNEB0dDTWrFmD9+/fY+fOnT9zGfIN7nM2uW3nS5cuhYWFBezs7BAaGooDBw7g2LFj2LlzZ6F6JVYO93dWRo0ahc2bN2PAgAGoXLky7ty5k/GdhoYGqlWrlvH/JUuWoGnTpujSpQuGDx+OsLAwTJ48GS4uLmSgL8/IT0WLzAol2fG9QokgyFQ6li1bJlStWlXQ1NQUdHV1BScnJ+G33377Rh67dOnSQuvWrbPsE4AwYsSIb2ws5b1+/foJOjo6wtOnTwUvLy9BS0tLMDY2FoYNGybExcVl2e+WLVuEWrVqCTo6OoKWlpZQtmxZoW/fvsKDBw8ytvH09BScnZ2zPWdWealPZuTXlPXp16+fQsfMa7i/c09u/C1X9aE+s2bNUuiY+QH3ee7Jjc9DQkKE3r17C2XLlhW0tbUFdXV1wcHBQRg6dOg3akXKhPs89+S2X/+ewqoSmx3c37nzt6+vr9CqVSvB2tpa0NDQEDQ1NYXKlSsLCxYsEJKSkhQ6Xn7BfZ57FGnj169fFzw9PQVtbW1BW1tbaNSokXDz5k2FjpcfcH/nHkX8ffPmTQGAMHPmTIWOURBwn+ee3Po8KipKmDZtmlCxYkVBW1tbMDMzE7y8vITTp08rdLz8gvs89+TW53PmzBHKli0raGhoCIaGhkKLFi2Ea9euKXSs/IL7O3eULl2a9HXp0qWzbH/+/Hmhdu3agqampmBsbCz07dtXCA0NzfXxfhSRIAjC90E8DofD4XA4HA6Hw+FwOBwOh6McClemWw6Hw+FwOBwOh8PhcDgcDqeEwwN2HA6Hw+FwOBwOh8PhcDgcTiGCB+w4HA6Hw+FwOBwOh8PhcDicQgQP2HE4HA6Hw+FwOBwOh8PhcDiFCB6w43A4HA6Hw+FwOBwOh8PhcAoR4txumJSUhJSUlPwsC0dJqKurQ1NTM4ud+7x4wv1d8uA+L1lwf5c8uM9LHtznJQvu75IH93nJgvu75EH5PAtCLkhMTBTMzS0EAPxTDD8WFhZCYmJiFp9bmJsrvWz8U3D+5m28+H7INm7BfV4cP7yNl7wP2cbNzJReNv4pYJ/zfr1Yfih/GxpyfxfXD2/jJetD+dvMjPu7uH5YPmeRqxV2KSkpCA0NwcuXgdDT04eY+JWWOJVpj01SY9o/fGDvR0eHbb9xg213cMhqe/GCvW2VKmy7vT3bnpDAthsZse2JiWw7dc2oc6WuJVkgKjqrQrz1nG6PiYmBrb09UlJSvonwpqSkICQ0FIEvX0JfT0+xfecmUpyZtDS2nTpX6mJ++sQ261Vg2q2CH7L3Y27OtltbM80SqYhppy6PKI3t21RkbSfUPlRVBPYXFOnXOCYmBrYODkx/h4aG4PlzWRun6jH1gIeqIurqbHtsLNseHs62V7aMYNoTdUyZ9vPn2fupWjWrzcCAva2hIdseE8O2Jyez7VR1pao95XNqe6oPke8nNjYGFSrYstt4SAj8/AKhr6+PuDj2figf6kgJJ7JIVbA/o/DxYdurVWPbqcJTx6UqA7GfZGgw7ZQPFb3GISFsu4VFVpu8fsTGxsDZme3v0NAQ+PjI2riuLnvfVNukyk7t5/17tr10abY9NJRtp/oiMzO2vVQptl1Lk+gzpVKmOVWqmsWmBqIeUx0jNRZSjVnRziJ9+2zH8bAwBN67JxvHqc6Cap/UcSni49l2EXuMhESSxbT/UXnmpps2sXfh6Mi2DxrEtpuYsO0Unz+z7VSb1dJi26mqQLlcg921ZIwzsbExcHPLuV9XEzPqPVVfFa2X0dFsOwXVMVIXmShPvL0z066TRpSHuvhE209WYTtRQ4VoJ4zzio7L2n8AzCqfXVG+6ddr1GD7OyoqBP/8EwgtLX3UrMnez9u3bDt1r9SqFdt+9y7b/vo1216uHNtO3XNR9idPstqoc6W6G2pOJ0pg91vxYPeXOirEoJSUxLZTg1gO91YxsbGwrVCBbOOB/v7Q19dXfGJBVTbG9qz7EoA+VTI+8IFdQSJM2Pdnr16x91OvHttOdSGmOsS1J/qET8HsykN1jdrabDuFGuNyyq9ZdnP1sLAQPH0qm7tR8QeRlOhcqP6eqAfRaex6/+ULezfUPJUaHppXZt+rf9GyUmg/9vqR7C9YgzBVeGrCS7URyq7oWJi+n5j4eNh27ZrF5yxy/UosAOjp6UNfX/GAnUid3eCpiT5lpyZCrDmoItsCdL+pyh5zoa/PtlPXhrKT50oF7Kgd/WDALif09fRkA4Ii+8irgJ2iF5OIpMTqscuvH0tcfKoyENehKAXsciKnNk71+1QVoeYLFNS8Rl+PHQ1T02UfmBpEWa6lyk7ZKRSdwORVwI7qQ3LZxKGvL/M5tT0dsCNmxSyoikN1sBSKOBagC69ox55HATtFrzE1D2cVM7exFXkbp+oNBXUTpOg4TrmKivVQ10zBbrpYB+xyQl9PTxawo5yiaACHgqokCnRq2tpsB1KnSrUdResfBfUghjou1UUpGrCjtqfGme+R9+v5GrCjbl4oqHpAXWSiPKpEI9dJI9q4EgJ2ggp7jKEucU4Bu5zQ0tKHtrY+Wb/JxQHEvRK1H6p+UwHmvLoXYx1X0bUE1NggErN9pUoG7Nj3tGSnQLUfRe+tsvxc1sYVnljkQcBO0VPVIjrkZOL+jKof1CUj7010CV8RfUJsXP4G7FjXLZfDOPT09NPnb+zv8ypgJxABO+oaUDEv6jmgvh77BxJi7Keqq74ecQCWU6jCC4rNC3+6o85pP9mgWMBOV4CerkAGKCgNC2pFip2dIkcHXF3ZdtbCKnd39rbU09iPH9n2HTvY9pEj2XZjY7Zd0flRbBq7k9GjeklqFkdsL2jKRlFqUpGBpqbswzoBopeRgBj8pESgSoU90qtJibvVsDC2neiArT+yHwmmutViHzeFfed45iy73jdowC4OhY6Y3VAVab6qaewKRQUQNKTpFS2HTkVdXfahxn9Fb5qoPomqrmfPsu1+juxlMx07sDtbDw+2r44cyWqjnjBT9r//Ztupfo4a0Ck71RcpGkSVz4+ooM/3UJMAVRCTgDgFBq7c3mVmtw+AvvG6c4dpTm7VkWnXIJwl0WbfAVDXkDotRW/aI4kHhabsBaTM8sjbYE7zAH192Ycqu4kxu00ZGrLbFNUdU9eAWllPQe2fKv/Tp2x7ixbs8qslsJ2rxqqDVBRI0VXixPYSffaj8zRiTNWQP7jJ6QZPT0/mdAVu1AAoHkCkKrgCT3qoXRw4wLZTWBuyx/GACPbNSAR7ETcJ1TYpVyg6z88psJNTO1dLS4RamhoUmuYTjTY4hN12LLXz6OEs1a6ItyZ0Tuxlb1+7NttO3WwQy87E5dirfhJT2PNyVjOh6oGiL8nIm05O6ascHGSX0d+f/T3VxD082Haqn65UiW1X9FlA3bpsO7XarbUTYxnPK2JpD1UP4hTrj3VSiIGfchY1WFH1nhr45Rctp8lbWprso2j/TVRO1qpQqohU/0OtfA/Sr8i0W6uzVyZ52rEPvH1HGaadWpHXuzc7YkzNT6jyU9dB0Xk/yyU6mrI5tiSFmGunIx/GRSCCTIoGjYh6o01UJ+pcKahVvWjCHjzvXWFv3tydWB2nosBNEXWDQ1Vkqo1TF4HaT04rKqhoJ+snud6Sw+FwOBwOh8PhcDgcDofD4eQ7PGDH4XA4HA6Hw+FwOBwOh8PhFCJ4wI7D4XA4HA6Hw+FwOBwOh8MpRPCAHYfD4XA4HA6Hw+FwOBwOh1OI4AE7DofD4XA4HA6Hw+FwOBwOpxChkEqsRCqCRCoi1dnS0hSTMafUkqKi2HbquCy1Lhsb9raUkEdFJ7bqyuzZiinjUUoy1qZs2frLt9iqnpQSk54ZW7lEos5WwlFNYx8310ilsg9D2iY2hV32OFLxkK2wpSYlykhVHEqKl1KBIeR6KPWqyDi2ihwlDjNoENu+bx/bvmkT+7oN7PCZ/QMGgrEJ064RRyjOyE82MTHb/WppCtDSFOjGRqoRsrsSFTG7T6DEq1xc2HaqPX+OZLdPqvjDmvhmsQlDyzO3ffOGvY/589l2lgItAIwaxbYbGrLtffuy7SGEIBrVp8n7qHi26FoGaioSqKlI6AZB+ZxSJmO1W8rhiqpQUhWBkPTVSCDUpQj1NdUY9vZpUrZ6J6UoRo0P1KVUVFGQVXd0UmRlV0XupLyoekO1KcolVFujxkKqHhOCkGQ5qe0fP2bbt21j24cONWDamzbIOi5RiuZp6my7lgoxthH1XjWJ3VhVqXYSFiX7NyelMRWVrx8W1EVWdHtF2zNj/5TqeqmorH13tmWJYh/z2iNnpv3BA/ZuFi9m27U+vWPag7XLMu1Uf0+1E+rSW1rI5qo62oRSYOYdqKiwrz3lD6JPp4TuSJU+SmGP6iyoST816aIqCdX4KeloYszbc4+tErt0KXs3U6dmtTVpwt6WgurrqWnt95iYyFQkKWFRqj5Rl56aDlB2amim7CIpoYhJzStYsrVU/bh4kW3ftUsx+4ABbDs1SaMaOXXxKWdR9zjfo64u+1BOIfpGiQr7XsxAOzWL7dMn9rbUqVLjMnUJvmizx19tK7a9Xwe2qizVgKK1LZn2K1fYu2nvGsC06xCTvXgp+96bGgqZrpJLlOcwjqshFWpIhYKhG/riE/VGrJ17NWxAplDNop571voEAK/92PMlapw5c4c9/960ib39uHGMsrRh7wPt2jHNN4dsZ9rrqfuz90MVnhrzypWT/auA9C5fYcfhcDgcDofD4XA4HA6Hw+EUInjAjsPhcDgcDofD4XA4HA6HwylE8IAdh8PhcDgcDofD4XA4HA6HU4jgATsOh8PhcDgcDofD4XA4HA6nEMEDdhwOh8PhcDgcDofD4XA4HE4hQiGpkYQEmUoIJWpBqV0RIp2kGBAFJYTDUok9cYK9bY0abLumJlsZj1IBpNRS5ApeWQhhXxwHB7aCjbkxW10FkeyLr0pd5I8fmWZRuiSaiJKmkpONSqyeNlvlSUwog1JiKQlStmKMAaW6QiiQScA+7tsoc6bdhtg9Vb9dXdl2SgVr5Ei2nTqtRO2syq8HDrC3tbBg25tLbzDtoW4tAQCxaWz1nwySkr4qTzEQVNjXmIISwaIUpqj2SbU3aj+UCF6yRVZFWI1PQcxtK9gzOhYAI0ey62ubNuxjeniw7Yr2f5RyNLUfeX+ZowhRSorsQ6ktUnZFlMko1UAF1QrJToTqqAn1WFI169o1ptnEyoq9fZod05ySwu5zKLFCqo4Y3LvA/sKOcVy5VGEqMXakExcnO32qbbLGUwDQUGePbTdvscdOSi2O6rucnNh2qv76+bHty5ax7VTf0qwZ2z5kSNZ2TlUDqol06MDuK6pFXWb/gJJbI9Qvt0e1BwAkJrKV6rKQV22carcUVHtmHLdU5EvF9k3JXBJ9jlyQ73sole9Ondh2Tzd2n2N57z/2D1gqlwCsKTlyYu5GKlp+j3zuRvmW+g0DXV1i3E9hD8zUXExV0fpHzWspJ1KTK+paEsftk7SRaXfaMpi9HwaPHrHte/aw7ZQa7F9/5e54JiayfVBzIuoSnD7NtlOXvnZttl3RIT48kl1HSsX4s3/A6nypcZzqqKlJVPfubDt1U0tdNKr+URczp+0TE9nfy5HP1xVU81ZVYY/lwWFZ7w+oIlKXhrJT+6GaPrV9RARbPdbOjm2XEvWvfYMvxAGIMY84MR2iwYVG6TDtzKHw7VvZv/FslXg5glgNglgNojRijkc1NgVV3Z89Y29OtXFKYb1SJfb9JnXPTPVd8svzPYcPEErTrDkBdS9AxEDqaQezt39KVHBKQpwKBAwfLvtXgbkUX2HH4XA4HA6Hw+FwOBwOh8PhFCJ4wI7D4XA4HA6Hw+FwOBwOh8MpRPCAHYfD4XA4HA6Hw+FwOBwOh1OI4AE7DofD4XA4HA6Hw+FwOBwOpxDBA3YcDofD4XA4HA6Hw+FwOBxOIUIhldiDBwEtLaBFC2JnxN4ogTDKTimRUEKALAEeSnXP2Fgxu9rH90z7/YgyTLuFBVsxT3TvHtNe2t2dfeBPhFINISUlaLJV4kSUAol8P5TT5MhVxlhqccS+tagygn1twsLYh9Y1ZavsqIYR6i1mbMVdqj5RKoOUMF51V7YijY0NW+2KUgmr6pTM/oLRIPr1Zqv7vHxDqLZZ1WWazf2fAAC0KGlIOWlpXz8MRMTFjE9hqwFR15IStaKqKyUOSolvUe2ZJS5nbGrN3JYSH6QUlLy82Haq31J9Q6ghUnJxkWw1I+EpcXHOy1QJ1XKrBK2o8iO1X9Z+qHOiKgi1b6oiUI2cgmoHVDkpJUdCjc5Wl61Apl7DiGmn2oOvfVOmvbxZdBbb5ZGHAQDx8THAv2zFNECmUqipCQwaxP5eIynrvmWFZDc2Fxd226fUYCmlXKq9UeqGlPgWBbWfcePY9latstooP1GKuJTCbZBjQ6admhOVqs2u3/0+3JcdJy4Ow9g/lSHv0ym1OKrtU+2Taj9UOyRk4Viq4yJKKo6SH6T6BELueGwTH7Z9FFtBcvQ49ljr6qrHtBsQSr8Sr8ZMu+rb10w7tm1j23fskP2bmAj89ht7G+Cr+jf1HQuiwoqoik/4W1WTqGdUv65of0zth5rPlivHtlPXgZiU1lR/wrQ/F1fNYqOKKHff97i4sO1Nmsj+TUsDrlxhbwPIBCZVVOhLRrnQ3p5tJ4SpyX6aErhW9L6QLCirrlETPeqmgpK4paTRqT6HqjfUQEA5jhogZs6U/ZuTSmw2c/Ucf8cgLi7rWE51x5RfqXFf0TFS0Tk/pSQqbz9Zj8ueiwFs+8qV7K0pdfFr19j28+ez2hwc6gEAYmOJi5GOKCEeIrEq7XPKTnVGRGdR2YXdrweHsO/hybZMoOgwQIk7U33FwUsmWWyU2jsZT/D3Z9upPoGSvqUqjrw/4yqxHA6Hw+FwOBwOh8PhcDgcTtGEB+w4HA6Hw+FwOBwOh8PhcDicQgQP2HE4HA6Hw+FwOBwOh8PhcDiFCB6w43A4HA6Hw+FwOBwOh8PhcAoRPGDH4XA4HA6Hw+FwOBwOh8PhFCIUUomtXh3Q1QW2bGF/T6m0UCIZlGAZJTRGKYiwRDZ0ddnb7trFtg8dyraz9e+AmjUE9heUhBKlUkVJ4bDkLLPZv4iSpCGO+7l2awA5q9JkqBCx1FgopSRCRUVEyPuYa1KKZUQFIWSIVJPYikp+fmwF3SpV2LsnRVsIaRsd4jrUdyB8G0dUcNY1JuR3KlqwjynRZSscqcqlSrXY1yKDxESZ/BPVOIlGqEPY1e3LM+1UM6EEeEJC2HZCpBNqIYFMuyWjY/gcx75mVNOk7NQlo7bXoQpPqaQR2ycmsZWbtBwdZX9QMlxykpNlhVTQ56QSG0s+TMG+glR/o+SlKCkzSr6K6l8piT1KAo+SDCbUv801CQXWFHano+f3gGmXODTPYpOrjyUTItRyGjWSjY86KWwlW7LCEoMqdckoFTlKLY5yLTV0Us2HcvnixWw7pc7IaoaUciIlECZvgt9DKd1R/VyM2JxpL+uWrm6Y2zZOQbVxar/UJI3oQ1hqsADw6lVWm7Exe4zSNWSreVNjDykDT/Wvd+4wzasm2jPt8WJ2eWJNyzDtUUS91zWrwLQbUZNSuR9zUnzPrl+n+mOq0VKNk1LPphohpTLvWE2h3ajduMz+gho3qAkH1SaoTo2QfHfWZvTrYnZjFiLYiqQDJ2ZVNgTo+63vefwY0NGh+5wXL9h2agijqsgD9pBECrBSx6XURA2ozpHVF1GFpPZB+dvOjm13dVVs/6dPK3Zcyn7ypOzf1FT293JUVGQfau5GtOfPMew7W9Z0rHw54l6X6BP+u6PDtFNjJHUJqLZPTfVOnGDb8wqqq6POy8mJbWe5atky2b9Udc5ArvxNjWGKqrpTENtbEmrK9vYaTDs1bFB9CHXv3aAB2y6Vsu99WrTIaqP6IUdHS6Zdg7pmlJ2SI6ba5p9/yv7lKrEcDofD4XA4HA6Hw+FwOBxO0YQH7DgcDofD4XA4HA6Hw+FwOJxCBA/YcTgcDofD4XA4HA6Hw+FwOIUIHrDjcDgcDofD4XA4HA6Hw+FwChE8YMfhcDgcDofD4XA4HA6Hw+EUIhRSibW0BPT0gHbt2N8/fcq2U0JjZQ0/s7/QZytJWRLCTawD+MaxlT8o8adLl9j2Nm3Yil+iuFj2Dz5+ZNsp+TdK7YVSIqEURyh1GELaxiRdDkgtPp79u3TixQZQFeszi6llSkjxUuqR/v5sO6XQRG1PqBU+fMFWl6N8S6kMUipbAHG+lOIkVf5Kldh21kWmJLyI+qFKqaG5ucn+zU4pUP69mhq9HbV/wq5GKOCUItTi/JPY7Y1ShiJFkXRt2V8wMDFmq2C9eMFWIKLceu8e206pUNrZGTDtrwg1I6p/pVxlbCxTbkpIYCs4ZRAXB4hEdN9CKblScp+sTpaSEFdUzY3qWyhZcEqBiZKvotqyvb1i+3/0iG2nzpewR9fOqgYLABMYApKdOsn+TUgAVqxgHwYAKuh9gr5eLJBEjD3UtSdktkREf6YTya4fDg7stkm1K0otbvp0tv3KFbad6nYpYUxWF0WJBlJDmE5UEPuLJPZBDcTsfj1Yuyx7P/L2EEvMRzKOl96vU/WV8jmlBksMnt5+7D6tWgxbHfnIkazb9+3LPiSl8qaiwlZZrV6O6BOo/ozqW6i5G6FaS3UtZ8+y7dQUcGCNKPYXuVX/Tkv7+vkeaiJMyfdRYwNVBqpREf2ozuOb7O2pekkN/NT8m4LyLdXfU9uzJE8pSWmiIxo1iq0SKxcvlkiA16/ZuwRkl1wsBvbsYX9PtZ/hw9n2mTPZ9osX2fZDh9j21avZdqoZxqmzFbHLazJ8Tt0nUY2Kmr9S7YGaeFLUqMG2U5KhVD2Wy2cnJQHnzpGHS1TRgZqKDsKIaQvVFy1cyLY3apTVduQIex68ZDK77B4ebJVYDXX2PDs5hb1/CuqcKNVhamymbq0oKNdSXcWOHWw7S81W3r1S3aycWLERRGJ96KknM78X9Nnjr0hRVVmiPfi8Yd9L3LrF3o1c7Ph7qLlez55sO9Wn9e7Ntjs4ZLVVNgtlb5xCzMkp+V/qvoca86h7Afk4npIC3LjB3uY7+Ao7DofD4XA4HA6Hw+FwOBwOpxDBA3YcDofD4XA4HA6Hw+FwOBxOIYIH7DgcDofD4XA4HA6Hw+FwOJxCBA/YcTgcDofD4XA4HA6Hw+FwOIUIHrDjcDgcDofD4XA4HA6Hw+FwChEKqcT6+QE6OsDp0+zvKcEeSl0lUJ2timRGiHtphASwv2AomZVPec7ctPwAtlrP81eqTLsoLZVpv/pIj2n38KjMtKtS6oCUKmHt2mw7S2IGAIyN2XaWXAqAl2nlAQBxmtkrjemoJEJHRQ3JKlkVWIND2Oo+pqZslSc1SoWNknElzun5GzWmfeVK9m4ooSeqvsoFmr4nLY19vnZ2pZj2FEe2XZNodXpRgVmNpqbsjSnpI0oFkLJ/T3S0TI6MkmKiLhpVjynlHGL7mlZslbdQx/pMOyUK9+ED225mltUWF8f2KyUoRkGpC1NCi1SXIBf0/R5KBYsQgkaDBrJ/Y2KAIUPY2wCQFVBTk1bAo3xI9Tmsi0/VG0oClNo3pWpFqdBSUtCUHBflLKpCURJh1PlS0nhE+zS4d4Fp3/h3Vjk3nxeq2R46g/h4mSowVcEpZUZF7eXKMc3WaeFM+wcVdn9J9d+Uqw4cYNsp9VFWnwCwryN1qlQTKe9ANFrC34n67LHTUsyeh0BqnH0B5Mj79dyOA3KI8ef2C7YaHaWUXbs2e3tWc/bzY+9Drpb5PVTfptKAreJazZ7oeKkOlri2VNdFjUlUF0XV7/8iqjLtjfXfy/7ISRk4JQVISUGiRVblda2PvuzfUNeAGhuoPoRS7ab6UWr+oKhqN9VAKWdRnSU1PlDyhixFWGrsIQZsY3f2vUObNrJ/k5OzV4nt2lXWrVPihtS8gmpvLMVQgFaJpaoO5RKq3lOuYrZDqrFRct4KqheThaTqB7U9dRGoSaBcSZiah6ejpS6BlroEpqbs+9fz59m/o8SgO3TIamvVir3t+ygjpr3Mq9vsHxDKoxrEmPROl93/UV1Lp04KHRbXrrHtXl6K7Ye6xtT2LMFgeZtKJYZ5OZ06yapwuXJstVZCgBr6xLyCOteKxvFMOyVmSomFU9WXumf56y+2nepK3d3Z9gp2iVmNlFIu0Tafh7Hno5eeejLtVP2zpgovD6RRfQMDhVbYJScnYs2acfDzo2WmOcWLB48e4beRIxFDtUhOsUIQBCzesgUbjx9XdlE4BURgUBAGjx8P3wDigQin2LHv1ClMW78egiAouyicAiA+KQljli7Fpfv3lV0UTgFxx9sbQ6dNQ3w8++aLU7wQBAGpqfMQHb1N2UXhFBDv/f0x+Lff4O//XtlF4RQQYWE78PjxbGUXg6MEFFph166d7BFK+fLv4ODQPF8KxClcNE5/vNKmQxc0a9ZCyaXh5DeG9WUr2Yz09DC4fXsll4ZTELikP2Yra2KCyQMGKLcwnHzHvlEjfEl/ADOhVy8YUY+COcUGqyZNAAAh4eFoVLOmkkvDKQia9+8PAOjU/zfUr89eFcApPiQlGQIAPn+2hYFBf6WWhVMwuKYvmyzvWBkjRoxWcmk4+c2DBzaQSmUrq11cJkEszvrmG6f48kM57Jo3J9Ytcoolv3TogCZNmim7GJwC5OyKFcouAqcAMTE2xv969FB2MTgFgCj91YAt06fzYF0JY8X48couAqcA6dupEzw8Gii7GJwCxMqKvx1RkrCzs8OAAdnlPOEUFwRB9ip2/fp7ebCuBKJwwO6vv65CX982P8rCKYQ4V6qEvdu3Q4V6/5tT7Fg9aRLcqWQInGKHgb4+nl+9Ch0tPgEoCSQmJWHAL7/gV3lyJE6J4M7OnbCkcqJyih1uzs7YsmQJRCJ2jlZO8UNdfQM0NaspuxicAsLExATeDx5Ai8/dSghpsLAYgTJluiu7IBwloFAUplevyXB15U/rCiupaWk4dfcupFRC1O/YvfsvuLuzk0HLWbdyJdTU2CIPHOXz9v17+Lx8mattJRIJHKgso+l0adIEw7t2zYOScfKLK1fOIimJkVSVwYMH92Fmln0bX7NgAcxLsROscpRPRHQ0rvv45Hr78eM7Z/t9dWdnLJ0w4WeLxclH7ty5hdDQ0FxtGx4eDgNKOSOdmb/9hlqV2UntOconLS0Zr1+fyXVOycXr18OgKjspu5y/5syBqio7GT1H+bwOCsJLSjThOySSVKxdSyQvT0dFpSdUVQfmRdE4+cSZ+/eRnJOyQDrXnj+HQe/e2W6zbs0aGFMCXRylk5AQiuDgW7ne/ubN1tl+r6dXB3Z2C362WJx85O7d64iMJMSSviM4JgYGU6fmet8iIRczhJiYGBgYGGDfvmhoa+uTSiGZReEuXlyJAwfGws7ODR8+PIKlmRkenTwJi8wTS0IOKNHQkmknla1yUNL5Bko8gVhRtPc8W8mWEhWqU46tgEdKj1Ir1ygVUEolUSrFbW9v1O3WDQ62tnh19qws0PadalFCQgK6DBqEyTP/RoMGXx0WHR0N/UyvR8l9fvhwNHR09NGM8UasKOpLxt+JiYmwrVwZnyMjYWlmhuCwMMwZNw4zx4zJ2OZ9GntlZpkob/Y5UQpKhBzV+LnswMSjR+zdDB3Ktj97xraPGsW2U8JhNV2IoAqllsuSPaRU0tK3dWzSBL7+/ji6fj06NG3KrB8nr1zB6cuX0cHLC81HjABA+zv6xg3o6+rSam6Z6uvp+/fRes4clLeygu+nTwAA7xkz4Gqbyc+UlKOHB9tOSAGmdma/rkkpQiqqTMYiPQVQFqimeewY206JBOlI2Sp/0VK2AnVYGJCWloZKlWQB9AcPvkBf35BZX9euHYQaNbpiyZKvuUYpn9+5Ew1dXX2ynEaR7zL+7jxiBA6fO4fKFSrA5/VrtHZ3x9GZM6GWWX2N1cdSbZlSraQaLasjyg6q36Uk7SioRk5BqHMrrMSrr49xW7ZgxYkTmNWtG2bLX1v+bux8+eEDJm7dik1jxsAifRuyjZ86BX0dHfraZ6oIL96+hXO7dtDS1ERieqM6MWsW2taq9XV7qlFRY5WidqpiErLMqeo6TDt1b1zGTsK0h0dmDXZQz8Io5TqdqCCm/fYHtoKpvNpYWMhWRV2//hLlyzvB3CzrNG3JkiXQk0hw8cYNHD17FkA2Pr9wQeZzikzSkkvWrcPkxYtRvXJlPPTxgb2tLe7/+y9MM90YPo9hj+XpxcgC1QxZc0lqW+q+dNMmtp3qp9OHqlzvn2rKlknsRO/xZllVWQG6vx87Uw8BAedx9GhzmJpWRc+eD6CiIs4iwJqSEoOrV7uhR49/sGxZ6Qw75fMPH2R2VjM3ifrap8fExsKybl0kJCailL4+wmNisKxPH4xv2/brD6h5CLVikxr3Kalfah5MSZsqIu0M0OrclNOp86U6ANaYR/Xp6QqmFq1aITQyEqf//BMt69YFqlTJsunhY8fQuec9iER1IQiyB6mUv4cNi4aGhj6psppZnfLhw6NYu7YTLC0rIjhY9sB3zpxnsLZ2ztimO7GIhyWIC9BqmZTLqf1Tat6sabOlBXH7eosIklBvjlDjMuVvSoqXSjHx9CkSk5KgXbs2ACDm5k3o6egwt+87fjwGduwIr0wXguzXP3yQ2Ylyxoq/Krm2b98Mly9fgJNTJbx69QKdO3XCvp07vwnqB0VkVR+l6tOWLWz7pP7EgyZKUZoamKk5F6UAnMNDqyxQvqJuHqj5ErF9kGZZ/P77YOzduwnTpi3FsGG/AwCs9b8dB54+e4bJ85Zg6dK1qFxZVq8of1esGA1VVX3yHvVbngBwBWAAIDrddgbAj+eip8ZCanpPlZOqU5TSKvV8+dAhtp11r05Vv4qGwewviDEsOImtjiwfCtXVZXO3V6/ewcHBAWoJ0Vm2nbtkCazKlMHuPXtw5coVAFl9ziLf3nNMS5NNvj98kN14BYeFIYorjeYrbs6ywdYvMBAePXogJi4OFevVw479+7H70CGs3bwZgZ8+4fTFi5g2bVieHlssFuNz+qQoOH1kfajAqhDOjzE9PQDXcdgwBAQFYdeJE6jcvj1CwsMxYNo0vA0IQP+pU7H+4EEEU5PQH0QvfRm+b6Y7oKAvX6jNOXmAONNNQI0asoFjzpxm2LFjEl6+vInt22WTgv/+2/xNsC6vePj8OQDA5/VrAMBFb2+kSdgBD07eMKhpUwDAnP37sfnCBTx8+xal+/XDEz8/zNixA/89fozN58/j5N27OJ3HKqCG6ROIxEyTUt8gdhCKk3e0bi2budavXxGCIGDs2LFo36EDAgIC0K9/fyQkJGDylCkYMX16ns+r5PuTj9/+gYGI5nO3fMXKSvYAKyLiCY4fb4PExM84csQR798fgK/vVrx5sxExMb4ICjqLs2d/z9Nja6irIyFR9nAxPN3PjxV9QMFRmJnpAk+txo1DcEQENm3dCrc6dRAaGop+gwcj4MMHdO3dG8BKAJ/z9NiamrInDPJgHQBERxM3rpw8QStTAEC/Xj0IggDP7t0xa8UKXL59G9OWLYNUKsXOo0e/CdblFU+eyO7FX716AQC4dOVKrt/G4vwYffrIVoUsWDARJ08exIMHt1Da2Rmv3rzBpJkzcf3WLaxavx5nzhzHjRtX8vjohun/Zg4YvWNsx8lLGjeWCXw5OZUFAAwfPx5d+vWDn78/fh0+HMnJyZi1aBEGDxmCKCqKSJAvAbvPnz/g3Lml0NMzQ+nSNQAAYwYMgFPmJXicPEddTQ2N0p/gVChTBpdu38YrX1/0+9//0Hv4cIycMgVl05cGXr9+IU+PvTb9MXevLl0ybPP4a1f5Tq1Mr8Woqqjg92XL8MzXF9W7dMHWo0cxbO5cdGkuC9z0nzUrz46blJKCEX//DXWxGJ3q1gUAuNvbozXjKTEnbxk8eBIAQEdHFx8/+uPJkws4dmwppk3zwPHjyxAZSSwh+Uku3LiBD58+wSvT6qpt48dDSyPrU1lO3mGXaRWLsZ4e1p05gw/h4eiycCHm79uHJlOnonW68ueAP//M02OPWbQIANArU767UVw9Ot9p2/brOCoIAlauWoUTJ07AvkwZ7NixA+fOncv4Pi8fjL3z98ffu3bB2sICLhUqAACmjBiRMW/g5A9isRbMzd0BAAYGZREQcBYxMb64erUbbt4cgFu3hsDAQLai9NkzYln5D/Jn+lKZXu3aZdhm/PJLnh6Dk5X6mVYKiVVVMXLcOHg/eYLK7u7YsXs3JkyZgs4dOwIABCHvHrAnJ8dj9+7/QU1NE66uMp87OTVCpUpN8uwYHDaje/YEAFibmeG1vz+u3buHuWvWoFGvXli4bl2+LWo5c+YkIiM/o0mTr6urNq1fz9Md5TOlS5fN+FtPzwCbN6/Ch8BAdOjRA0tXrkSDFi3QvrXsNdhhw7J//VkxBAD/S/+7ZyZ73i7U4WSle/ev1zs1NRXrN2/GoePHUdbVFdv27MH127czvn/3TrEAar4E7G7f3o74+M+oXbs3HB1lcvJSqRR1OnZEnY4dkZycnB+HLdEEh4XhtxkzcCl9/fndp09xkPF+ileHDhl/9+49FDNmLM+T4//xl0w5eNq4cRm2ExcuQKt8eWw7eDBPjsH5ilQqxZU7d9Dut98ybOv37EFI+iq6T+mrHC/evo2TV69mbHN0ed74+4K3N3z8/VHW0hL9GjeWlUkQ0H3DBthOmoSAz3n7RJgDxMXFYP36hdi4cQkAIDExAbt2ZVXsXrr0682Ws3Nj/O9/edP+Vm7bBqlUijH9+6N8+g28b1AQTLt2xaTNm/PkGJyvCIIAH39/tFu4MMN2+PZtvEh/hSTzytYJma7/ykx9ws8QGByMg+mBobn/+1+G/ffNm2HQuTNupq+25OQdycnJOHhwJ8aNG5RhW7VqYZbtpk6blvF3amoqzu3cmSfH37x/P6JiYjCgWzd4pAeBU9PSUL1VKzTs1g1p1GtBnB8mNvYjLlwYgNDQewCAT59u4t27rEqfFy60zPi7bt0xaNp00U8fWxAELN24EQAwO9N7RPtv3YJ2797YQ+W/4fwwEokEF+/dQ4dJkzJsaw8dyrgvCg+XpdU5dPQoLl6+nOmXJ/Lk+E+enEJIyGvY2laFu7vsvVRBkGLt2k6YPLkMoqLy54FfSSY6NhZz/v4bq/bsAQCEf/mCvxn3RW0Gfe33WzZogL15NF9fu1b2IG/48DEwMzMHADx/8QKG5uaYNXdunhyD8xVBEPD8+WP8+uvXtAInTuyHn98bAMBr36/pvWZlmt/98cf6PCrBWwD/pv89M5N9NAAjAPfy6DgcOUlJSdi2bQuGD/86/16yJOsYPT7T3E1DQwNnz5zJ9TGIJAs/R6NGoxAW5ouLF1egXTtZZ7B627b8OFSJRRAEHLtwAccvXsStR4/g6+8PPR0dOJYpgzfv32d8vudDUBAG9uoF19qt0a5dd8TFxWLevPE/XZ4Tu3ejXa9eWLRyJcqXKQPf9+8xY9kyAEAglTSGoxARX75g0+HDuPrgAW4/eYLo2FjUyJRIfOF6dmdfysgI/du0QY8WLWCjaJ4HgpY1amBe796YsWsXHvv5AQAeBATgQUAAAEDMVYXzhDt3buLQoT24e/cWnj9/ChUVFbi4VMezZw8hlUqxZUvWCd2XL8GoU6czypdvgEaNfkNKCpGTQ0HWzp6N7qNHY8bKlaju4gJff3/MTA8UXKIS23AUIjElBdtv3MCFZ89wy9cXIdHRsCtVCmYGBgiLjsbuTMH3zMQkJGD8L7+gba1aqFa2LMb8889Pl8XW0hJHVq9Gp1GjsDHTzcXK9GSNXH0ybwgIeI2TJ7fAx+cmXr9+gOTkZNSuXR937lwHACxZMiPLb2JiYtC8eXPUc3HB8L59v80h+RP8/ttv8PvwAYvWrsX09CDtsjyoS5yvSKVSHD5+HP+eOYNbd+/i3fv3UFc3gKFheURF+SIi4gkiIp5k+V18fCAcHQfDza0pXFy6ICkpBhcuTPmpsohEIpzdsgVthwzB0o0bYW1sjKDISMxMTw4bFp01/w5HcUJjYrDpxg1ce/sWdwICEBMfj9ouLvBLTy8wh3jg5WBvj8jI4RCJ+gCwQC41SbLFza0D2rSZjpMn5yM8XLbC4/XrKxnfq6jky21hiePq1avYt28fbt2+DR8fH4hVVVHNyQner14hJTU1I3iXmU+hoejWpg0auLlhSNeuSKDyqSnI6tUb0a9fFyxYMBM1a9bGqVPHMWPOHADAzUwrfjg/TkJiIrYeOoT/bt/GrUePEBoRATu7MjA0NEZUVCT272cn/UtISMDIkb+jZcv2qFSpMn7/PS9WwZUHsA9AdwA7MtnlD/i5GFFe8ObNC+zbtxX379+Ej89DpKSkoF49D9y8KXvQNXdu1rfaomNi0KpZM9StXx8jRoyAigL3ygr1zDExsryLVCqsN2/kfxkgLMwYqqo6SEzsB0A24TxzxhvOzq6Q5w61NWavtAsh4jtlqBNjJeqjkohSyUKJk+rRnZ2U1ucZ+2Yl1ZCttqjmRmRlfPuWbafONSkJUqkUQ+fOxcZDh1C1QgU0r1sXcxo2RPNKlWCgpYXjT54gLjkZqRIJNC0s4BMQgLoVK6KOkxNKGaQLM1SpAuAjYsBOhCxHLJZ9RMh+plDOwQFpaWkwNDBAPUdH+L5/jzIWFnj0998w1NUF3rxBGX3CJ9RTe+r9buLmZPkydsLGzVvYvqJ0FU4QDzKpfJBUokyy/IT9i11W1TcjG1nei7d+fmjcowciIiPhWa8efm/TBh5OTmhQqRI+RUbijLc3tDU0IEpMxOuQEJjp66OSlRUaODp+7RBiYhCTk/Lgly+y5O9U0uj0PIViANbpmdZ/cXXFrN27AQAn+/dHS0dHqAiCbFsqu+jFi2w78dq82r2bTHunTvWYdkqbgLVggNK/oPJXU02WqjdUWezs2OIScnetX78akyaNhr19GXh4eGFU11/QrF492FlZ4fKdO/D7+BGqKirQ1dfHbW9v1K5WDdVdXOAgz7YeEQHgCWLi4jCEXQQAQGio7Fwpl195KlvWL5WWQWSCJtTU9GFdoQ9w8iQAIPD5c9hYZ0qif+lS1p1QgWJCOIAUhcicOTszVB9COYsaxCg7VRkoKBUCKon6tWuITkxEy/Xrce/DB9QrUwa/urujrqYmmtraIkUqxdF376AqEiFVKkWMgQHik5PhZmsLz3LloKmmlnFtYuLjsy+bpqbsQ+WvyWS3M5c9ja9cvnyGbVKHDpjbrRvU1dRkgk+Ur6iE9Iomn6bEKIg+RI0YO8tQNz8P2OZSjLomqcRWWqUWIsXEZC8ucfPmOYwe3RHa2rqoWbMhBjR2R6Pq1VG5XDk88fXF/RcvoKGuDi2RCHdfvkSVsmVRuUwZuMr90aBB+nFyeJVKS0uWGZpKsp9+zYyMjWGgrw9dHR3069oVs1esAAD4XL8Ol4oVMzZ3NiTmDS3YfRolANGzZ1Yblbx+3z62nXoWnOkNz2+4RywuoDJ4WF7bz/6C6HN0HNjznPgqdSCRSDB02K/Yu3cnXF3d0KxFWzx6VBfm5s0hFuvi06djkEgSIJWmQkVFDTExr2BiUgcmJnWhoSETQJs4Uba/uDhg/nx20QDAQBIJ/bRUeqKTTjljY9ncTUMDtcqUwZHISFSxscG1yZNhoK2dfd9HtXGqPrq4sO3U4EO1Wapfp8pDBbRfvGDbqb6Rms+w9p/en72KiEDj3bsRk5wMTzs7TPLwQIMyZVCvdGkERkfj/Js30FZXh6qWFp4HB8Pa0BAVLSxQv2xZ2UOR+Q4A3iEmwQcG2QiAe3vLipGzToc67OxkQj4tW3bH0aOy+7O//rqAmjUbZzyI0YkMZO6nnhW73kubsMVWqKpAJaqnqivLte/92XN7Czf2vJCaJjyNZCeSr5fGfkAmVHJm2uV91L///oG9eyfC3LwcKlb0xKpVo9GwYTNYW9vgypWLCAwMgKqqKlRVdeHtfQfVqtVG1ao1YWMjE5MxMwMkAJJz6td1dWUfQnhRL0X2pouLpR5UpGkw0TdEp2aNcOqUbAVv0PnzsDIzy1D6sWbNf7y8mPuuVIkd9BHSV/B9j4gS26PasqIT8PSFA1mg0jlQAwHVR1F9kbo6IqOi0HzIEDx+9Qoebm4Y9MsvqJuQgKblyiE+JQXHXr6EuqoqUiUSRJYqhVSJBFUdHNCwalXZPCosDPjij5gLRH+UzqtXgEgEpKe/zLaI4eF2uHABqF+/Bq7Lnv3BwGA+9PUnQiSSvQqdw9CQBeoSU1D6IFQYhhLuo3TNKBEM1i0IpV1masoWOdUn+qdr6fOThw//xcqVXaCtbQhn54YYOLAHXF0bo3TpSvD1fYS3bx9BTU0DtS3DcfvJE1SrWBFVypdHZfk9j7o6EBaGGAXuLfLlUUp09BO8f78WFSvOh4aGrJetW7chnJ1d8+NwJY61e/di46FD2Dp/PvrLX3G9di3j+07Vqn3dmJop5yGCIGDGwoWIi4/HpFGjsHrePADApWXLZME6zk8hkUjQsXdvaGho4NW9e7C1sfnmZtXaxASDmqTnH/nJHBi5EI0GAETExGDqvn3oXrcunDOpwramAiochbhx4yomTRqNkSPHYf78P6CiogK9T68zvm9YuzYayv+jro7OrVrle5kuX94GX9+7mDv3MpKTZRPELX/99W2wjvPDDD9wAC9CQ3FzzBjUkk8y0yenGgD6ZgqYUIHt3JCSmprr7UYtWgTncuXQtXlzzFu9Gq+CgrCgR49vlOU4P0ZIyEeMG9cFNWs2xIoVh6CpqQXnuLsZ31ctXx5V5YG5pCR0Jm6c8pJ73t7YtHcv/pw5EwZ6suBb+5YtvwnWcX6c1auXY9++XdiyZQ+6dpWpOWdWI7exySYikw8IgoApa9ZAIpVifJ8+mJees/LsuHGyYB3np0iRSND+wAEYamjgwYABsNTT++Zhjp2hIQa5y3IXkg958pgvX0Kxa9cMNGnSH1ZWsnFETU0d7u48h11e8OTJOezdOxHt209F167zIRKJ0CKTMKeX19frHBcHtG6d/23+723b4O3jg9tnz+Jj+htPR/78Uxas4/w0g2bOhF9gIO7t24dqciXiI0cAAIZaWuifOYoub+8/gCCkITcvNkgkSXj48H8wNq4OG5v2UFW1hUQSCH39KRCJ+NtPP0toqB9Wr+4OV9dWGDVqL9TUNL4JKpYv74by5WU+b27lg1/SheN+FoU8d+7cSlJVRhAEfP58Cw8e9MKVKzWhp+eEsmXHQFVVC02btsPdu9dw8yYj7MlRmH+vXEHL+vW/BuvykXfvHpPfxcfHY8O2bajm6Yk1GzZg3pQpsLaywrC2baEmFqPdjBmQcAXJnyYgMBDPXrzAsnnzZMG6fGTUmjXZLsN//ekTRm/bhrKjRyMlLQ1L0pdIzGjUCADw161b+Vq+ksLZsydhaWmVEazLT+7ePU1+l5aWhjt3jmD27CZYu3YgPD37wMXFC1WrNoWVpSUmzpqFIP7Ke55w4tkzjPPy+hqsyyc6T5mSrWJ0SEQE5q5fD4cWLXDXxwfrpk+HWCzGgh6yAMPQDRvytXwlhQcPriI+Phbz52+FpqZWvh5r3f792c7drt25g27DhqFex45wdXbG8H79YGRoiKZeXjh98SJupOfG5fwcp0//izZtOmQE6/KT5+mrZljExsdj3YEDqNy1KzYePYpFI0fC3MQE/2vcGKoqKmi7alWuH95xaHwjI/EmMhIrmjaVBevykffvJ0AqpeduAQHPsX79CAwZUg4qKqro21eWO6t379+RmpqCY8c25Wv5Sgre3idhZuaQEazLTy5Qb6pAltv0wLFj8GrXDiMnTcKQvn1Ru0YNtGnWDKWMjDB84UKEpb8xw/lxBEHAv1euYNKgQV+DdflGNwgCsVIRQEJCEJ4+nYXjx8sgKuopatT4CyKRCgwNFwMAvnwZk8/lKxk8fy5btDBs2DaoqRWc6J5Cd4KHD8/C4sVNERPzdV2kVCrBp0//4dy5Zrh+vR6+fLkLZ+fFqF//BlRVZSeyatUuqKqq4vJl+saQk3tcypfHoxcvCmRC9fvvjbFv3xIkZQriREREYM2aNXBwc8OwCRNQ2tYW5w4dwtjhwwEA9hYW+HPoUPi8f4/31KvJnFxjZWEBQwMDPHqSNa9NXnPg6lW4/fYb7rx8mWETBAGPfH3R/48/4DRuHPbeuoURzZrhyZIlGQqWMxs3hrO5OY5Rr5hwFKJSpcoIDv6E0ND8bz8LF/bAypXDEB39JcOWmJiAf//di9atK2Pp0l+QnJyI0aN3YeRIWR4OsVgNx/fsQcTnz7hz/36+l7Ek4GJpiUfUa6F5yEt/f1Tp3RuHLl36JojjFxSEKevXw75ZMyzZsgWt6teH98GDaFBDpvTeqXZtdK9XD8fv3+c383lAuXKyV29evnyU78easmYNWo0ciYBM9SstLQ3nr11Do+7d4dm5Mx4/f45l06fjysGDGeqBBzZvlolafJP8nvOjVKrkgidP8t/fAODVvj1WrF//zYrasMhIrNi1Cw5t2+J/S5fC0c4O//39N4Z37QoAqGBpiYW//IKHAQH4RL26zsk19gYG0FFTw6MCmAeHhm7H48c1ERr69R1/QRAQGnof5871xogRLrh58zDatx+LVau8YWwsexVs+PAFsLUth2vXsgqdcBTH1tYF4eH+iIvL/2BY565dMXrsWERnyjUZFxeHXfv2wdndHd0GDYJUKsW+jRux7o8/AACampo4+McfCImIwP1nz/K9jMUdkUgEl3Ll4J3pnin/8IYgVMGHDye+mYNFR/vi3r0JOHHCAa9eLYetbUe0bPkYpqa1AQDa2j2gpdUBiYlH+dwtD7C1lc3d/P29C/S4Cr0SO27cCWzdOgwvXpSDlVUTaGmZ4dOn/5CYGAIDAye4ux+FpWW7LEsudXX10KJFJzx8yFff5AWN3N2xYscOvPLzQ8WyZXP+wU/Qvv0IbN48BcePL0ezZs0QFhaGy5cvQxAEdO/UCfOmTkWZ0qWz/K53kyb4319/4dbz5yjHX5n7KTQ1NVHH3R2Xr1/H7Ck/l2Q6J66vWoUhy5ejzujRcK9QAU62trjz6hXefPwIcyMjrB0wAAMbNoTGd3LwYlVV9KlWDXP/+w+CIPCE9D+Jp6dsxeKNG1fRpUv+rsYYNmwFtmyZiv/+24EGDVpCEKS4ceM8EhLiUadOI/z2206UK1cjy++qu7rC3s4ON+/exS/t2+drGUsCDcuXx8Zbt5AqkUAtH185vb1xI8auWoUu06fD0c4OtZ2d8dLfH/dfvoSOlhYm9O+PCf37w5CRtLN/w4bYd/MmfIOD4UglBeHkigoVqkBf3wj371+Bh0eLnH/wExxevhwjFi2Cg4cHmtavDxMjI1y8cQNhERFwqVAB/27bhlaNGmVZzWtoYIAOrVrh5t27xJ45iuDp2QibN/+NgAB/lC5tn6/HGtirF8bNmIElK1eiaa1aCI6IwJWHDyESidC7ZUvMGToUdpZZ8/f0q1sXkw4exK23b9ElXSmY82PoqKujppUVrgQEYHI9dl61vKJKlat4+3YI9u+vCQuLOjA0LI/g4FuIjn4LHR0rjBy5AY0b94Oa2rd5+MRiNbRo0Rv796/O1/KVFCpVagRBkOLVq+uoWbNDvh5ryeLFmDlrFjZv2YJWzZohJSUFFy5fRkJCApo3bowDmzbBtXLWvKsNqleHhakpbj15gtbpeVA5P46XuzsOnD0LiUSSz+lCbgMYhYsX28PQsCJMTd3x5cszfP78EGpqenB2ngonp7FQU/t27iYSiaCj0w+JiccgkXyEWGzL3j0nV5QtWxMaGtp4/vwyKlXyLLDjKhSwc3LyxLJlb7Bly24EBBxDbOx7ODh0h4NDD5ia1sSXL/RNuqmpOV68ePyz5eUAeJOuxBkQHJzvAbt+/eaiXbvhePJ4Pe7euwdDQ0Os+PNPdO3aFWZUAl4ABjo60FBTwxdFk7VzspCQkIAnz55BTSzO92CYo40N7q1fj3+vX8eey5fx+uNHeDg7Y/Xw4WhcrRrE2ajGmevqIiE1FSkSCTTySLWwpPL+vUy9LTAwIN+P1aLFADRq1AO3bm3ErVv/QSQSYciQSWjbtidKly6Lp0/ZvxOJRDArVQpRXEnwpxEEAXf8/RGTlITI+HiYUwo3eYCpkRGOLV2KG97e2HLyJF4GBKCMlRXGde+Oth4e0DFnJ40GALP0ckXlJGzByZGgIH/ExHzBp0/538ab1KoF3xMnsPPyZZy4cAEBHz+id8eO6Nm+PdwqV4Yom5sMM1NTBASyE9BzFOP1a9kqjA8fAvI9YLd45kyMHDQI//z1Fx68eAFjfX2smTgRXZo0gakRO8k+AJjq6UEkEuELb+M/TWxyMp6Fh8NUK39feQcAbe1KcHV9CAOD43jzZg++fHkNGxsvNGy4HjY2DdGiBd3GjYzMEBcXxR+25gHh4e8BABER+d+vDx0yBL179sSGdetw5cYNiMViTJswAT06d0YZe3tSsEkkEsHM2BhffjLnNUem+n3nyRN8iYlBTFwcjOTCjvmASGQO4DRatLiKN2+2ICrqJfT1y6NKlUmwtW2DtDS6n1FVNU8v7xcAPGD3M4SEvEVyckKBtPHMKHRXXbo0oKOjjUWLBgMYnOV7KlA/aBBw6dJl2NpW/ebmL8ae/e4vJRhFCiiwcihRKk+UihQFmQeEnYSZSg1kqUuUh3jn3eeVGtNuoJuCyStXYsjgwWg+cCAyMlB+lej9FmoVhNwRhLqQnI8fAS0tR7TvsALtO3y1v3wF+BK1p55UijsvXiA5NRWuDg5ffUFJvRA5m56/YV+DFGKMUSECC1TaN0ohh7qUV66w7b+PYqsdn7vCVp/R1mbb60s/ZzX6f8Af//yDiIgIXN24EaL3sskAqYJM1Xv5yonERPb3cuLjIRYEdKxSBR2rVMnyHXlx/Pxw2dsbTgYG0Mis4kQlWKXkuigZIqLtU28Qzp3LtrOEoaZOZW9LQYlW7trFtlO54h8Q6pReNWMwaGAPNKhXDxNHDIKWSvqNE5UgmMohJw+oZxNYBwAv85fQ19VF52o9gBHfr+Z7hxQn9kOBv/dK8eiJD8o79cHOE18nKV27dsyyrYaYncsyOIx9E/FRpRbTHnKNaSbVoiza9GPaTS4dZP+AEnO4Rhz4+zYih+p0/P2Z5hMXL+Kyry+2NWsG84iIrwMJlYic1R7kFTMnUYnKlSHS14djmdpY3GnYN1/FAbhIpCtLSnPGKZ8/IRar47n5MLxPk/m8m1kQ+wdUX0QF86kk91T9pvLvUPunXvGjfM7I5amawFZHdXFh56eiMgSEhQEzZgyDuXlpDBjwJ+QCehZV2PXeRJc9xvi+lY3/cXE53GSrqEBXVxfDBg/GsMFZ526UKv2lJ8Y4fek2nJ3r4fJTkww71RUpmmKV5SpKP4eaPlD96MDazwk7UZhI4uEi9dCRmqgSqsnBH19j8eK5GPW//6FFUw/IdCABKyt2H0gNhfJYfo5xFQMDVLK1xao6dbJ+R01+0tJw9dUrCIKAqlZWX8dpSs2berBAzdWpfKxEvwhKWZKC6nOo+QYFNS+mFLFZFdnfHwuuXUN8SgrOdu78tX+mrj01TsvtOczdtm4F9PTUcONGZwBZhQyoB29PnwI3b16Gvn4VrFjxtVLNn8++qS+rHcy0U1M96rSoIbVuXbadFVuiqpPWK+JVNWIMcHFryLQjja0YSg09OjopWLeuF6pVa4rOnYdB/iLK48fs7XMSJM0mnbSML19gpaeH2QMGZJUODQkhJ6thp07h+du3GF6t2reOYNVvYs7fthG7jQd90mHaralxlsqPqui4Tw0+1H7S0wBkgWr7RJ924I8/cOfJE+ybOhVGsbFAbPocgepzWJLy8rhEDm1cLJYFW8+c8QLgBUA2VZTfFvbty/6dri6QmHgZIpE2DA3LZrQbDw/29lQqPkpYl6rfnQk9FardUlWBmgZT3TGrnNT8gbqVpsbfjx+B48eHQF+/HOztl2TEBag5UaRT1hWuwNdrk6pA0LxA5EL8/Z/B3/8pvLx6FsThii1Pn95Fm/btIZVKMW3KlEL9JGz3pUuwNjVFfWpE4uSIRCLBkm3bsHDLFrSoWxe1qeBAISAhLQ1HAgLQk4qccHJFcPB7tO3SBZ+CgzF5/HhoFcCT+R/l/v3DkEjSUKsWMfHh5Ip9169j8MWLsNPTQ798T1r8c9y8uQdubm2grZ1/T5GLO7GxUVixYhju3z+Htm1/g4kJ+wFOYeD16wf4+NEXjRvzudvPcOP+fbTr2BEqKiqYOnmysouTLbvv3oWDqSncy5RRdlGKLGkSCebfuoXl9++jbdmyqE7dWRYCUlNj8OnTvyhdmrfxn8HP7y1mzmyJmJgIdO06Jcurx4WJ/Y8eQQSgs6ursotSpNmxbx9G/PUXHG1s0K0AVNx/FEEQEBOzG3p6HaCiwg6ocnImISESV64MQnDwVbi4jICWVsGqLBfIe2vXru2Fnp4x3NzyN09LcSUiIgTjx3eGt/dNuLq64uqlS7CjnmAWAiQSCfZfvYr+TZvmu8JlceXQiRPokv7EbFSPHpj9229KLlH2nPr4EXFpaejBJ/k/hESShhUrfsPZs1tgbWWF/du3o2WzZsouVrbcubMXlSo1gqFh4Q04FGbuvXmDVvPm4XNsLNo7OGCFZ8HlwvgRgoN94ef3EO3b528ezeLMrl2LsWHDFGhp6WLYsD/RseNIZRcpWy5d2gsjI3NUq0asQOFky8fgYHQcOhQPfHxQo0YN3Lh6FebZvHKubFLS0nD40SP8r1GjQv1AuDCz9+ZN9FyzBgAwvmZNzKCWjBUSPn48BokkGXZ23ZVdlCJJcnIyRo8eiEOHdsPMrDSmTz+CqlULd3+59+FDtKxUCSY6PHjzI9y8cwctu3ZFbFwcujRogGVDhii7SNmSnOyD5OQXMDP7Q9lFKbJcujQXly7Ngrq6Pjw81qBSpaEFXoYCCdi9fn0XlSt7FeonDoWFwMBAzF2wAPqGFdGr1yg8enQDBw/+DW/vmwCAyxcvwpBa21lI8AsJQUR0NJpVr67sohQJrl07isuXD2DJlEGwsbLCmf/+w8DRowEAs4YMweyhBd8xKMqd8HA46OmhXD7m3iouxMfHYvPm+YiLS8agQUvw/r0Pbt06jrNnZQqsF06cQEUnJyWXMnukUinevbuLDh1mKbsoRYJ7r15h5eHD6FqrFhpVqYKLT55gzObN+BwbC2c7Oxxt27bQ3yD7+sreV6hcuamSS1L4SUtLw8aNa3Dr1lP89ttixMdH4/bt09iwQRbsnD59L+rUaaPkUubMy5d34ebWGKqqPCdpTviHh2PesWOo8vo1hvbsiev372P19u144OMDALh04QL09NivThcWXoeEIDoxEc0K+UrfwoAgCDhw9y6OP3yISR06wExfH2ceP8bAf/4BACz19MTvtdivuBcmPn++C339itDR4XmtciIqOhrzli1Dkkgb06cvhI+PN06ePIJDh3YDABYuvAgrK+LVz0JCWloaHgQG4s+OWVOXcLJy69EjrNmxA3369EG9WrVw4fJljJw0CbFxcajr7o7906YV+rlbYuJdACrQ0Wmk7KIUetLSUnHmzAq8fv0azZsvQXx8OHx9z+DSJdm9TtOmh2Brq5w5cIHMwqKjwzMkxDk0T58+RdUaX9UYN21aiJiYLzA1tUDnzkMwatTCQh+sA4CI9CT02mQyQo6c9esnYe/epQCAGv/ty+j4a1arhiF9+2JgEVFwikhKgna+qiMVD6KjI9G6tS2SkmR5Mo4cWQUA0NbWR4MGXdC//1xUdCr8E+fExASkpCRAQ4PIO8bJYM9//6HXokUAgL2XL0NDTQ3JqalwsrHBzG7dMLNrV4iuX1dyKXMmNjYCqqpiiMXs3KIcGRKJBK1be+DhQ5my6pkz2wAA6uoaqFmzGXr1mowqVQr3Cgw50dERKF2aB29y4oGfH2rOnCn7z9WrmL1qFaJiYmBtYYFhvXph4e+/F/pgHQBEpOfr084h7ykHGL1zJ9acPw8A2Hv7dsbcrXb58hjWtCn6UomXChnJyREQi/k4nhNh4eGwcnGBRCLLPblu3XIAgIGBITp27I4pU+YhIqJwB+sAICY+HqkSCbTV+DieE1sOHsTAKbKHbPtOnoS6ujpSUlLg7OSEkYMGYdr48RA9fKjkUuZMWlo4RCINiET8Hi07JJI0zJhREwEBTwAAjx7JFlGIxZooX74FPD2nQSwmEv8VAAUSsHNyqoM7d44iMTEOWlpFYxBTBr9P+fZVo86dh6BZs66oWLFapgg+O3l7YaKGoyNUVFRw9OZN1HN2VnZxCi2xsV8ygnUAYG1piTmTJqFdixYoJU9CSiUoLmTUNTPDjnfv8C4mBmX5KjuSgwfXZQTrAKBVq8Fo1KgHXFw8MgVCCr86n46OLmxsXPDw4TE0bjy80D9hVCbyYB0gSxg8v1cv/FKnDsoU4lfjWDg61oFEkgZv79OoVesXZRen0HL16sWMYB0A1KjRFB07DkeNGk2hpSV7BUnRHPjKomLFWnjw4BySkhKgqclv6inGfKc4NLx3b3Rt3RpVnJyKVN9YKz2lxbHHj1G9dGkll6bwEhIVlRGsA4DSpqaY3bkz2ri5wVQ+/3n0SEmlUwxT0zoIDDyA+PhAvsouG1b8/XdGsA4Afv11GDp27A5397oQp4uOUKKDhQljAwOUL1UKR58+xQCWIA0ng4GZ7sm1tLSwYNo0dGrbFqVti1Y70dauC0FIRFzcBejpEapOHDx6dDIjWAcAFSq0QY0ag1G2bBOoq8vmP5TQYUHwQwE7SoGxJ5GzNCmpIqKi/sH27WvQrNnXBtCkCXt7ajL7JY79RCBOJevEwtaRmFxSCnJErrVAXbYarIuCamj4xFYCCYiUPXV9+/YVzl+4AACYMmUp5k3+DaoZK5a+3uAHh7FzDtxTYS9vbv9qL7s8ckWdHFZFWVkBOjps8a1nz9i/qecghpGuLpYfOoTxv/wCS5N0dTniGlN+pVRajI3ZdkogTNF0f1ROaEoF5uYDttoxpRGhqyt7nWLduu0AAHV1dVy4cAsN6rlm3ZhSZaXyolCyUnJnSXII+IrFsg+lzkYo2nimP00ec+sWjtepAxX5TQrV3qinzwo+laaEJamFqCzR5IkT2dv+/TfbTglNU/2ffBIXHR2B06f3AABathyCChWWQ11dF2FhwKVLX7dXV2e38TCi7f/SjrhmlETl90RHyzpdwucVbdiqXLq6lnj+/DxevXoMW9tqGXa2EBu7n6EEvzILDWdm6VK2naqu8+ez7b92IAafbdvY9k6d2HZqFXF6uz3t/VWt7sT48WhbvrzsP4LwrTwVJc5DSRKz1MvlfXoOyt9PXmlAV1eD7L83bGDbY2Nlq7//+mss/vuvJVRUZI2v2yNCiZyS76ScTg38lIoWlR9VUTkwqo9ibU/0Tybpg1VKaiqO/LUCAOBRqRL2LVsG64yBI5PPqMFEl20/fpY9xsj7qBwDgElJsvOkrgGhsFe3bnlcuLATvr5bMWzYiAw7JbhrIP3CtlsQgzPj4Y6VFXs+QIkMUqeU6MB+WKh16z/2D6iZOFXP0gv07N073Exv7yvHjsX/0sUlAADBmRQ1if137VqfaacU/OSpTXMSfIeKCqCigliGgrAe0a9of/4MbTU1zD91CiMrVoS5vL5Tr8hSK/Gofou6ltQkjThusJT9sMPy8RnF9k9NIKh5SFgYBEHA9nSlR30tLVybORNV5crcISFfKyR1DaiJKnVt5I07h0ZupRMNfV0BHTqwBYHGjWP/buxYD/TtCyQlTcDMmV/f8iBf5oljn5eGlF0ha7myz8vVld2naaSwlbiZ1+3QIfa21CSN6EQM7pxjb29vDwAIjYjA/sOHAQD/690btVv+Aw0NbaSkfCv6SVUbqjisYRz4qn5JCVRnEBwsUyWlxkiiDlpoauLk8+d44eODSqVKff2id++sGxOdfWgcez5KKX2+esUWUJvmbs/+AXXvQ0mSUosbKNlxatxPH5uPnTyZYTpz+DBayOduwLd9OXXPRTmdNWeUb5vD3K1XL1mXSyksU202IEB2vxgYOAZAIwCyMlC3kdTYQ9mpro7qdqnANrX9smVsuyKxKEroXD4dTU5OwpYt2wAA9eo1gUSyE+rqFggMBAIDv25PrUehbgWoexn5vUlyMvt7FgWiCODi0hYAcPLkVLx4cbYgDlmkuHHjIjp2rI3y5Svh+nU//Pbb75mCdUWTspayV6CtevRQckkKH6mpqRg3bjimTBmL0aN/R2hoAqpVK9r5/sqnz1ROhoRgVm4DRSWIwMBXGDOmNqKjI7B8+Q2MHv0P1NWL9mrjihVld46LFrkhLq4IPFouQARBwKozZ9B22TK0q14dsVu2oG0Rz+kpEskmuKmpgfD1LdwCGcogIjoaTWfMwJFbt7Bz/HhcX7o0U7CuaNK+vexB4OjRI3H9OnGXUII5fesW6g4ejKrly+PD8eMY3a1bkRfask2/I7Gg7pJKMClpaRi4YQMm79uH6R064MvGjahaxFcili8ve7J84cIBbN9OPBErwTx78wa1unZFQlIS7h44gNXTpxf5VCBe6ZER540bEaNIxKAEIAgClqxYgU69eqFzhw6IDwlBi6ZFPW+v/MGKL4DCnzu3oImICEXv3o1w/fo5rF59ANu3X4C6euFT9i6QmYW2tlHG358+PS2IQxYZQkM/YcCA1nB1dcfhw7dga1s8VDY7ZArdpxaV938KiFWr/sCWLf/gr782Yd68pUU+OAsAqiIR1NKfzF4tCu8FFCBpaamYMaMVVFXFWLXqLpyd6ym7SHmCpeXX1Q88YPctpx8/xpidOzGmZUscGTsWusUkn6e+vuxpdWIisXquBPPrypXw8ffHpYUL0bth0chRlxMm8tXxAJ4/J5ZkllD8P31C+99/R31XV9z45x/YFrFX3Cm6ZVrtK6FWg5VQ5h05gh3Xr2PHsGGY17VrkQ/OAvhGDPDx48KfS7UgSU5JQfNBg6Cro4N7Bw7AnXptpojhmqmvisxxqW7J4siJE5g8axamjh+P/du2QZtahVvk8Er/l1hhXoIZP743AgLeYs+eq2jVqouyi0NSIKONlpYhdHRkEz8VFa42JicpKQnDh3eBrq4+Vq/eC3199lL2ooh7JpXLJGq9bAnkzp1rWLp0HgYOHIa+fQcquzh5Srv0VZX6PJltBoIgYPXqoQgL+4BJk/bAwqJ4BOQBwMqqcsbfiYlRyitIISMgOBiDN25EXUdHLOvVC6rF4KZOjo5O8Qg25zVr/v0XJ+/fx6ohQ1CvGClsmpmZQTM92FyUcrHlNwnJyegybRpMDQ2xd9486BabmzrA3do64+80HrDL4OLDh1h68iRGt2iBPvXZrzEXVerWbQkA0NYu/MIoBYUgCBg4bRrCv3zB/j//hB0rn0oRpWqmgF00X2GXwVs/PwwbOxaNPD0xf+bMYhGQ/4r8fdai/WZPXrNhw1LcvHkRc+asQ9Wq7souTrYUSG0UiUSoV28o1NQ0UaNGr4I4ZKFHEASMnjULPj4PsXnzSRgZmeT8oyJEI1dXGOvpoXfjxtArRpPZnyE4OAi//dYVNWvWxsKFy5VdnDynV3oi1qkVKii5JIWH27fX4/z5LRg3bgvKl3dTdnHyFCMjGzg6NoS1dRWULl24B7qCIjEpCV0nT4aGmhqOjB1b7IIchoayFAc2NmuVXJLCw9X79zF240aM69Ch2Kysk6OqqoqhQ4dDT08PXbp0U3ZxCgWCIGDYzp148f49Tv/5J/R12LmciiotypWDjpoaBru5QYPK81TCCAgNRfcFC9CwUiUs6t5d2cXJc1q1kuUu69NngpJLUnhYceQIdv/7L3YtXQrnzPnLigFljYxQ29oaNS0tUaWIp23IK+Lj49Fl0CAYGhhgP5XLuEgjj72sUmopChOXL1/AH39MxrBhU9GyZWdlFydHCmw0jo//DE1Nfejp8c5BEARMX7oUG3bvxpIlm1CtWi1lFynPSUlNRXxSEhzSV12VdMLDQ9GtWxOIxWrYsmVvxqqF4kRY+pM6ex6gBQB4e+/F8eP/Q7t2/0OTJn2VXZx8ISEhEiYm9sXsSeSPkZySgk4TJ8Ln7VtcmzED5gbFZ8W0nLQ0mbqHunrxWSn6M9z38UG7ESPQwMUFS379tdgFaAHg8+fPMDIygjGl9lSCEAQB4/fvx45bt7Br9mxUK4YPpxJSU5EskaCMkVHOG5cAPkVEoPHvv0NfWxu7hg+HejEMYkZGhkFFRQWWlkU7H19esf3CBYzfuBETBw1C15YtlV2cfOFLYiKqmpsXyzFLURITE9Gub1+8ff8eN86fh6lJ8VpAI0OuzuSg1FIUFu7cuYm+fTuifv3mGDOGUK8oZCg08qSLTqFFC/b369ax7XPnAmJxM9y8+Tfc3UNRqpQsmZ/Go9vM7aWubKlpI0OBbQ9hSe0Qyz6pSSeRZ416I4BSMKUURO49/vqawdGjf2Lz5jUYOHA5Jv7aDkB4lu1T1UtlsQG0ClG6mFEWEh3Zog9al07J/shBlcbHR6Z+wlJio4SJ9PVlCTodnRri1MtYOEXI/t9Dl+3vsLSyTDu1Ap1yIaWoRIn1WBA5Jd2JxUKUuCEVn7LUlaldJSQkoEWvJoiPi8K1M2egpWVBXLusuex0a7PbAiXAWKM2254xJMfHszf4HirvIKWI9OgRmqUrpT19+BBW8ovi5cXennIKVakI+SNrBLHt5dgN0dEx6ysflFIS1ZYdiPEu8yndv38O+/f3QdOmfTB8+EqmABxVv6kmST0IPXWe/QpykyZVAQDJ1DWVEx0NyFXuWBBSZsN6OsL/tRf2HzmCYT2jM+zJmlkDVVR9pcaMzMprmaHaIKU4vnIl2545r2pmuhGN/4ku+1XQqlFXAchu5PvMmYMrDx7g5KJFqGFgwHYk1elQUMpnLFXPXAbKNTVlH6ofpZS6Hj0CVFTcoaKij9jYJ1BXl93IHD/BnvC3r62gMiMl9Us1ROoEqEpCNbh799h2lqJgpn37Bgai+ZAhcLa3x/G5cyHWYqjgKaqGTZS9fSX24Nb+tKyMMTECDAzZuwQgkxRVUaH7deK4SWIjeHk1x86d2xESEgXD9H742DH2bjp0YLerUow5DgCmz/WI4L8eUQ+WLWOvcFN9cJd9TEplkPJJpnqz8MABrDh/Hn/99ht61a3LHq8oOVui7TtEsTen5tnyuV4OUzfgyxcgLQ16nz5l/Y46VzMz6AGo6+CAp9HRXwcdSuqujWIJzAMT2DfCVHEooUgylRg1EaakK92IVe/pdTA2Ph5NhgxBilSKa1u3wpTVxgH2vIjqz+iJM9surzc5ODwk0QDxYn1EEmLH1DU7cQJITGwOqXQsdux4Dnt7maAQNQ9u3YRdj8Nj2KqvpXTZOdI0ItlzN/L6sOoxNSmiZKwpVeNM88sT165hwIoVGNKhAxYvWgQwAlrUnJESmqaaD3XPUkMmyE5eigzk83nqfKkDWFmhWeXKuPDq1bfjor9/1m1dXZm7ME9hv0prbMyuB2SmCEq+k5r7UAFzBaVKP6vI7rGlUin6/tYRdx4+xP79Z1HV2po9HlJ1h0LuxO9hVRJ53c4hn+Cq2V+gry8hJUm/JLH7pw4dAKm0AVq21MCQIU/wyy9eAIBMQrjf0KAB267gtIWcblD2kSPZdkrH8MABtn3IkKy2zJfs5csX6NatJdzcamDUqMPw9c16702dE1UWqo1TC7Ll11KR5z8FtiyiQgXZaPH8+aOCOmSh4/Xre5gzpw02bx6PTp1+R8eOhM56McHOrjL8/Uuuv5OTk7F+0yY41agB33fvcP7YMZQryw5OFgfsxGLoi0R4VIJzFn765IdlywZi+vQ2qFGjGcaP31ysV59VrlQJAYGB+EyNbsUcqVSKo9evw23wYBy8cgW7p09H4yKuBpsdIpEIGhqVkZTkreyiKI3P0dGY9s8/qD5wIEwNDHBm2bJinfbB2VmWq/Lp05Lr81svX6L5rFmYvmsXZnbvjhGtWyu7SPlKZWtrPKJumEsAiUlJWLNnD5zat0dgSAgu/PMP7DPl9ituGBk5QCzWQkhIyZ2v+374gH5z56LTlCloV78+1k+cWKxXn1WxtsabsDDEUg/hizlSqRTHjh2Ap2dVnDv3LzZtOoA6dYpXbsrMqKiowN7eGb6+JbeNh4eHY/r0SWjQwB02NrY4dOhfaGoWnblbgd1J2tk5QFtbB69f+xTUIQsNycnJ+OOPnhg/vhaCg99h/Phd6N9/sbKLle/Y2VXF58+BSEiIznnjYsaTJw/g6OaGkRMmoH6dOnh0/TpcilEychaqIhFc1NXhk91qrWKKIAjYvn0W+vd3xN27pzB48BLMmnW4WCgAZ0fVdEXBZ9Rjp2JMaGgQag8fjk4zZsBYXx9XV61CJ+rRZDFCQ6MqkpNL3jgOAHvOn4d9585YefAghnbogJvr18OAeuxcTHB0dIKamhqePy95Pk9ISUHnxYtRb9IkBH3+jP0TJ2J2D/ZbC8WJKtbWeBcRgYQS+PDt9pMnKN+mDcYsXYomtWrh0f79qFCmeKcAEIs1YGrqhLCwktfGBUHA5LVr4dS9Oy7ev48/R43C3rlzi/WDVgCoYmUFqSDgJev1qWJOQEgIGjeugUGDusHCwgqnT99Es2bF+yEMAJQtWxV+fiWvjQPAjh1bUbGiPTZuXI/hw0fj/Plr0NMrWiI7BZaMQSQSwc2tHm7duojffptUUIdVOoIgYMyYgbh16wjGjt0OL69exf4mXk6FCjJVmmfPLsLd/Rcll6bgCAjwQ69eLVGuTGmcP3YMFYpZwtrs8NDQwLa4OEgEAarF+Onk95w8uRy7d89F376z0bXr70Xqqc3PUMnJCUaGhrh45Qo8PTxy/kExIT4+Fv/7XyskfPmMq6tWoUHVqsouUoGhpVUPUVHrkJr6EWpqjFdziylnHj9Gn2XL0LNpU/w5ciRKlZAcX2KxGDVr1sblyxcwbNgoZRenwJBKpei7dSvOvHiBPePHo1v9+sX+Jl6OR9mykEiluPz6NVpXrpzzD4oJr/390WrkSLiUK4crW7agHJUfoBhiZ+eB16+PQxCkEIlKRj0HgPnr1mHJzp1YOGwYxnbvDk0N9iudxQ1XGxvoqKvj4uvXcKdeJS+GRMXGouWECUgQRDhz5hZq1mSnHSqOVK7sgXPntiEqKhyGhuy0W8WRM2eOYdiwgejT51csXPhHkc3HW6C9csuWXXD79iUEBxMv+hczpFIpJk4cjsOHd2Ps2O1o3LhviQnWAYCZWRnY27vh+vUdyi5KgeHv/w5duzaGgYEhTh86VKKCdQDQWUcHYVIpLuSQi6E4ce7cWuze/Tt69JiCvn1nlZhgHSBTkezYpg12HTgAKZXws5gRGxuNkSNbISjoPc4sWVKignUAoKvbGiKRFmJidim7KAXGBR8fdF61Cq3r1MG2qVNLTLBOTocOXXDx4lmEhxN5uYoZaRIJBu3ahSOPH2PP+PHo4elZYoJ1AFDRwgKVLC2xk8rvWAx57e+PpkOHwrJUKfy7Zk2JCtYBQMWKXRAd/QEBAdeUXZQC488tWzBz1SrMHTIEU/r1KzHBOgBQF4vRvkoV7Lh3D4LAzg9f3IiMiUGL8eMRHBGBffvOlKhgHQDUrdsOqqpiXLy4W9lFKTAuXDiFYcN6oEOHX7Bu3cYiG6wDCjhg16pVV0ilUly/fq4gD6sU/Px80alTI+zcuQErV25GgwbdlF0kpVC7dlc8fny62A8IUqkUBw/uQKtWNaGmpo79+/+DSbFUGsqeGurqsBeLcaoEBOxiYiKwdm1fbN06Eq1ajcWvv85XdpGUQteOHeH/4QNevn6t7KLkO/fvX0bPntXx9u0zrFt3Di6UAkkxRlXVADo6zREXd1rZRcl3ElNSMPPgQbRauhReFSti35w5Jeqhm5xffumGtLQ0XL58UdlFyXdehYTA688/sePOHezs3x/taxNKTsUYkUiErm5uOP38ubKLku9IpVJsPnoU7r17Q09bGxf//huGlABEMcbOzgO6upbw9S3+/XpoRAR6jB2L8YsXY8pvv2H6r78qu0hKoaubG16HhuL958/KLkq+c/7ePbgNGIC3QUG4uHIlypcvfgrfOWFgYIpq1Rrh7t3i38YTEhKwYMEU9OvXDg0btsDmzTuL/EM3hV6JjYsDBIFWkZswgW2/dUv2ryDowcDAHDdv+sLGBihLiGlpfXrH/oIaRFkKklQSaEI1R9DPqmwI0GomlN9Xr36D8+cX4MGD3TA0tMXw4RegotKIvTFAqmWqfQxk2iPEtgqVR0uFreSToY4VG0uXDTIFE7GYrZZLHXPixK9/JyY6QiJJw/jxAej5ga2aE0XkwKQEvNSS2GUO12W/j04JKFH32tT2LJE3qVSKMwe2Yt7y5Xj28iV6/vILVi9aBBNjHVK1yNqQUGpl1M3wJHPmppTgoSjqC/sLeWLZnBLMRkXJyk3lrqGcnl4gEQDH6Gj4ym1UO6TaMnViERFsO5U7jdi/DuMalyVWhk1pxn4SExYbi+U7dmDtvn0Qi8XYOm8e+rVrB5GIuLkhOpGmI9mybeMnsgMClBLqDmIBq1wYL5noAjKIi5M1cEpRjMjRFQ1Zn2lRthoA4PG7ENhUrA2DmKyKkK9esZffU29iUNVAPpZ8D1WtqVOi1GlrbGGrwUa/PYe5ixfjvytX4FGnDv779zDKlyuHZDFboVKDGiSp9sNSfQVopTSW0phcbioHJWgNDZliFtUEKWHnzF2CVOqIDx92wNlZwI4d7Fff3dzYfZettoIyyNTKTUUnX9RgzlCpS0hOxj/XrmHpgQOIiI7G9F69MLVnT6hJpWy1RkK1jeyfHhGDHqUwSu3/7Nn0AucgGZqSAqipkWrbFHohvgAAHakUhvr6CHx8G3oNaqJrV/bKcQNtIn/pJ6J8LJ9QOQGJMUn12TP29lRuJuIav5RKMX/jRuw7dw4O1ta4snkzPKpVo9U+qfpKtX2ik7K0YD/MfPCA3a6cnGT/Un1bBn5+gI4O+xpTknaZOl7HChUQe+oUgjU1YUnJdlPBTOLa2IqD2dtHsa+Nvj47dxxV3bWoPoExeEokEuy4fAtLlszH69cv0bt3fyxevAIGhoYAiD6UGrBY8xNibk+qTVKDnryvyGEg19KSTbeoroWqll+FQUUwMiqPiIg3SEmhldpr12avQqOaLaVcmaTCFvGwcGLbRazrQ81TiTEj5MsX/LFmDdZv3QotTU3s3rABPTt3ZqujAmQ7sXRnzw0/fmS3WWp4p1SQ5cNGrtq4lhZdp6gxL70vcjSQzeF8g4LgoKvLvJ7JKexzkkrZ9YCq9vJ+KytE2amLRtmJCc2lN28wd+1aXL1/Hw1r1cLmBQtQxsYGiAtg74eqU1QFVzQ3OWs/8mPmpETr5yf7PXGuRoS/LSycM/6uUKECLl8+AXNzAatXs307aBD78NTtHNUtUqrJjYiQCNUeKMXqPxZLstji4uKwbu1aLF+1ClFRUZg3axYmjh8P7xfsORR1ySklaGq6QYgpk0rP8i5HkTSxBRpuFIlEcHZuimfPzhfkYQsEQRCwY8dfWLTIBa9fX0SHDssxdepzODpmE6wrAWhoNASgiqSk4ufz8PBwdOzYEt0GDYKVhQWunzyJ3f/8A5MivOQ2L2hmYIBrMTFIKoavSJ65eRMVO3TAuv37MapnT/j++y/6t29frNXEcsLevgwcHMrh8uXi18aTk5Mwc+ZweLZogYjPn3Fo1y5cPXcO5anASgnB3LwZkpJCEB1d/BIY+3z4gGqTJ2Pixo1oWbMmXm7Zgll9+0JNrNDzzWKFiooKmtSti/M3byq7KHmOIAj48/hxVOnaFde9vbF64kT4HDokC9aVYBpXkT1QuvDkiZJLkveEhIWhaa9eGDCgF+zty+DSpdv4+++tMFQwoF3csLdvig8fLkMqJQI9RZgT586hYu3a2LxrFyaMGAHfBw9kwboSjJOZGawNDHC+GL4dkZicjEGLFqFx//6IS0jAsbVr8d+2bbJgXQmmbt2mCAryR0AA8dCmCOPt7Y2qbm6YPns2OrRti1dPnmDqpEkQF5O5W4GfRblytXH37n5IpVkjo0WZHTv+wpw5o9Cgwf/Qvv1SqKkRT8RLGCoqhhCLKyI19amyi5KnpKamom3bJggO/oSzBw6gOfXIoARSW08PiVIp3iYmwkXZhclDrjx4gNZjxqClhwe2zZuHUiU8MJuZGjVq4/nz4tXGAWDKlIE4c+YQ1q9cid8GDizRgdnMmJjUAgBERz+Fvj57pWhR5OPnz6g3axbsS5WCz8aNcCpheayyo3bVqpj911/FLr3FsmPHMHH7dkzo2xfzR46ERk6rHEoIZoaGKGthAZ+AAHrZTBEkOTkZDbt3x5foaJw8+R+8vPjcTY61dW0kJ8cgOjoARkZllV2cPOPc5cto368fOrRujc2rV8O4hOUgpRCJRKhtZ4enwcTK1yJMr9mzcfbOHWxesAC/durE527pVK0qWxX95s1TAMUnx7qfnx88PD3h5OSEc//+i3Jli0//JafAX+g1MysLiSQVkZHFS3jixIk9cHWthc6dV/Ng3XeIxWWRlka85lxEefXqBZ49e4oFC/7gwbrvKJv++ta7HN/FLFrsO38eutraOLpyJQ/WfUeZMmXh7++n7GLkKWlpaTh5ch969RqGoYMG8QlfJsRiXWhomCM+vnj5/OSjR4hNTMSRceN4sO47ytrZIS4+HuGRkcouSp6y++pVeDo7449x43iw7jvKWljgHfVqcRHF+/lzvHr7FqtmzeLBuu8wNJTd5EZFFa/5+t6jR2FibIxD27bxYN13lDUxwbtilsMuISkJR69exeiuXTHgl1/43C0ThoYm0NXVR2Bg8WrjJ/79FwkJCTh2+HCxDNYBSgjYlSolSxwWFla8Jvo1azbA8+ePit3T57xALHaARFK8/F2pkguMjIzw+DGRMKQEY66mBi0VFfjllC+viOHp5obY+Hi8pfKKlWDs7R0QEhKMhJxyaRUhxGIxqlf3wPPnvI2z0NFxKHYBu0bOslwv96gcXyUYB1tZ/ly/QHZ+3aKKp4sLvN+/V3YxCiUOFhbwK2YBu+qVK0NbSwuPqGREJRh9fVuIRKqIiipe/XqD2rXxOTISH6ikWiUYBxMTfIiKQqqk+Lz1pq2piZoVK+JRMXzV92cRiUSwsXFAYGDxauOeDRoAAB48fKjkkuQfBR6wMzUtDZFIhPDw4lFZUlNTcfr0QRw9ugMeHs14JJ+BWOyAtDR/SIrJgBASEoxp037Hly9f0KRJc2UXp9AhEongoKFRbAJ2giDg6sOHWLJjB0pbWsKxdGllF6nQYW8vexDz4YO/cguSR8TFxWLLlhV4/Pg26tfnbZyFrm7xCtg9DwzEuJ07oammhgYVKyq7OIUOee6f4hKwS0lNxb7r17H3+nU0ozJGl3AczM3hFxpabB5EfwwOxti5c5GQmIhm6Td4nK+oqIhhYFC62ATsBEHAf9ev489//oFj2bIobcsW7SvJOJiYQCKVIpBS2ytiRMfF4Y/du/HozRs0o9QKSji2tg74+LF4tHEAePLkCSZPnQodHR3UrVNH2cXJNxTKYWdvD+jpAZ8+sb+nRI6+fUCnAXPzsggIuAsYe7B/QCmiUQlhWTIclPQGsW9qYcj3YiwnThzEzp0b8eqVFtTUjBAefgHJyZ9gatoUqqobSJE36to8f8EO8NnbswcWdSIGQin+fY5jK/mYyK9DDhIlzs4yoTGWYiu1COF7UbXw8Iq4eTMF9uVfQFMz647+/pu9H0ohSVOTrQZbypgdEDQ2ZqtuUuNT5muZmJiIyZN/x8uXL2BmZoH4+HicO3ca6urqmDdvMVq2bIVkVbYPKYEm6rzEDMVJQ8KvlFIuEnKo9zkFTb98kSlIUaqsVEX77oanYmgo7sbGArNns7fftIltp+oj1fYVFbZgyRx956g7z59jwc6dkKakwMzQEPfevMGLDx/gUro0jk6eDDFV8amyUxWBOCcrK7Yy3oYN7N20aMG2y9/azXHRW2qqrOzUtSSkoQxSvqrBVi9tApFIhBd3L6LWp6x918Ce7EImq7AV5KhLRom5HTnCtlPztcxtXxAEPHiwCIGBF/HbbyYQi9Vw/fq/SEpKQPv2g9C58wQERCimjKdBvTJNndiVK2w7dQDWOCbveHNwuK6u7EMVkXoT9HuVt4iIirh9+1/4+SVCheFHSq3Q1oPoQyg5LUqNk2pvlPx3pmsfEByMSatXIzImBpZGRngXFISbPj6wNDHB/nnzYFO1KvsaU5MfauUG5QuqrSlql59TYiL7+8y/l0ppxVPqVdBMlURPXx/Wlpa4+/IlemoS6Q5UFEyLzGoPfsSNBJVHjZKo+85/u0+dwrYTJ6CjpQVDPT2cvXULoZ8/o5WHB/6aM4eWwKPGHqr+UXWE2g/hk/DH7L7in5MyFc2cXA4rK9mEPUepyUx8V/aKFhaITUzEq82bwQxhDxnC3g81T6AgEsE7EksKqLeyUx0qZPwdFxeHyZN/h6/vGwiCBeLjo/Hw4VloaGhhyJAVSDHsQTZPHUOiPSgS1KAUa6k+nVrJSG1PQN1rUILV38eqy5SpiJiYu+jQgb29ibFiwdu0NPb8mLo81CU2Yk2Gv5unXr9zB4tXrwaSk2FmbIzbT57gtb8/XJ2csHfJEqhQqyqpikD1LYScZc0q7O2DI9nzB4ZAOYCv9VtNjf19Bioqsg81r6Dm8Zn6eydrWX9y99MnOMycmWVTDWriSbTZyk7ssSo0kjgZTaLfpRSoM1UQQRAwZ+VKXLt3D6bGxlBRUcG/Fy8iJTUVQ3v3xqixY4HoaPZ+iPHkyUcTpt2FmFaoviCEt6g4BquuySdd8YQ6tRw/P9k4RYkoEGNSRZtv64G7uTb+PnERjRqlQEUla19HTQeoIUwthV3uMjbEjoj2Vtme6BQydRbv/PwweeZMxMTGwtLEBK/fvcOdhw9hY2mJQxs2wFwkYs4la1Yi6hkxt3JwYMcZLl1i74bqKl69YtstLGT/KrKupcBX2AFAvXrdcOvWASQWsRU4kZGfMXx4b0RHf4EgpCE21gfm5m3RoMFj1K59HpqaxEhZwjEx8YSGhjliY7cruygK8/ff6/D33+tgZGSM4OBPiIgIx5Ilf+Lt2yCMHz+Jr6gk6FauHO6HheFlaqqyi6IQgiCgz/z5eBkQADWxGM8DAuBsZ4f/FizA07/+QrVimhvhZyllaopGHh7Ytm+fsouiMB8/XsLt29OgoqKO2NgofPjwBr16jcO//wZg2rR/oK7OnmyXdCpV6ork5BhERR1TdlEUZsLKlbhw7x70dXTg+/EjtDU1sX/OHPgfOoR2HsSDRA66tWuHPUeOICWHB32FjeDwcPSfNQuxCQlISU2Fz9u3+KVxY/gcOoRTf/0FcxP2TVpJp0nlyjDS0UHRm7kBq1evxObNG2FoaISIiI+Ii/uCoUNXY+fOIHToMEbZxSu01KnTDS9fXkNQUNFagSORSNBr2DC8ff8eYlVVPHv7FtWcnHBlyxY82r8flanoWAnH1sgIdcuUwfa7d5VdFIU5dekS5qxaBS1NTURGReFdQAAmDx+OD7dv469586CWY8SzZNKtUSN8jolBePhpZRdFYUZPnIirN25AV0cHr9+9g6G+Pg5t3Ai/O3fQomFDZRcvX1GK1q2HR08cPrwAx//7D91bt1ZGEX6IEycOQiKRYNeuk5g82VzZxSkyqKiIYW3dFQEBB2BisggqKkSku5AhCAJ2796JTp06Y+/eA+RDLE5W2trbQ0csxvaEBCw2MFB2cXLNnefP8TYoCP+tWIFG5YuPglJB0POXXzBwzBj4hYTAQf74qAjw8uUOGBqWR/v2Z9CvHw/A5xZj4/KwsqqJyMjtMDLqXmQeXnyJicGJa9ewaMQIjOvdW7FHnCWcnp064c9//sGZc+fQvm1bZRcn1+w7exYqIhHOrF0LI0VXf5VgNNXV8UutWth36RJmAygqcmpSqRR79uxC9+49sXXrDly8qOwSFR3c3Tthw4ZBOHNmJwYNmqXs4uSaa7dvIzAoCDdPnkRdLhikED2rV8foI0fw0cwMNtTKsELIziNHUMXJCae2bqWXbHKyUNnBAS5lyiAoaDvMzTsouzi5JiwsDGcvXMCaZcswbPBg+q2MYopSariNTUW4ubXCqAULEB1LvNqnZARBwN69O9G6dT2UL28EL6+qmDFjDJo3bwczMx6sU5QyZYZDKo3G589TlV0UktDQEMyePRH29tawsTFH9epV8fTpE/z660BlF63IoaGqitFVqmB5bCyeFuLVGBfv30fbyZNh0LIlXPr1Q6uJE1HO2hqePKeRwnRu2xb2dnYYsHZtoc15lJqagJs3l2DnTids2GCKvXvd8OrVDjg7Dy4yAafCRO3avyMm5hy+fNmv7KKQPH3zBv1nzIBRw4Yo2749XHv2hJpYjB7Uu+QcErcqVdC4fn0MHz0a8Tm9vqMkpFIptu7di1q9e8O4QQO4du2KyatXo3OTJjxY9wOMatUKIQDmKLsg2RAcHISZM8fDzs4SdnaWcHOrgjdvXvO52w+gqamDZs1GYPv2hQgIKLxJ+8+ePYtWPXrAoGxZVPH0RId+/eDs5IQ6NWsqu2hFjh7Vq8NCTw+Dnz9XdlFI4uLisGDZMpT38oJptWpwa90aB06dwqDu3ZVdtCLJ7927IyzsGEJDjym7KCTeT56gz+DBMLS2RrkqVVC9fn3o6OigS8eOyi6aUlBKwE4kEmHo0I2Iio1F80GDEBgcrIxiZMuCBbMxeHBf6Orqwc2tFl68eApzcyusW7dL2UUrkujpOcHIaCqio1fhy5flyi5OFuLj49GyZR3s2rUJ7dt3RGpqKp4988H06bPQrBlPOv8jzK5ZEzaqqmj7+TMeFMKg3eHLl9F09Gh8iohAu3r18Pz9e8QnJeHiihVQVWXnPeTQ6OvpYc3Chbj6/DmG/v03EpOJPFdKQhAE7N/fEVeuzIKZWU1oa5sjPNwbDg4d4OY2QdnFK5JUqtQF+vqtERAwAFFRx5VdnCw8e/sWtfv2xbVHj9CzRQv4BQXhQ0gIDi1ZAksqJxqHRCQSYdPy5QgJCUHLdu0QXAjnbpPnz8fAceNgamiIak5OePLmDcpYW2MzlU+Vky2V7ewwAcBiAGuUXRgG0dFRaNmyNg4c2I5OnTojPj4eL148x4IFi9Gggaeyi1ck6dFjEQwMTDBuXCv4+j5RdnGysHv3brRs1Qqfv3xBqyZN4PPyJVLT0nD+wAH+4O0HMNbRwcpOnXD282eMfvUKKYrmhs5nBEFA665dMX/ZMtSrXh0mRkbwfv4c3du2xch+/ZRdvCJJn2bNYGLSGE+f9i2Ur8Y+9PZGnSZNcOf+ffTo3Bnv/PzwMSgIJ/bvh2kJnbsp5ZVYADA2tkKPVq2w4/hxbD1yBDNHjFBWUbIQGhqKVav+wIQJUzBx4kJIJBK8ePEUZmaW0KYSE3NyxNBwFCIjZ+Dz5wkwMBjOTFSuLLZsWYfg4CDcuvUSVauWxcyZc+Dn9w6urtWUXbQii9r/2TvrsKiWN45/d2GXWLpTEBUVCwtb7MC+divmVa/d3dfuurZXvca1+2e3Xru7BRQVlW7O749lEWReliO7LMp8nofHe98zOzNn3qkzZ8589fQw29wcLT9/xh9fv+ISdXi8DkhISMCoFSvgV6ECDsyYAYlEglEdOsBAJoPbT/Q5Z07Dr1YtAMDKY8fQv0EDFMlBn6a8eHEcL14cRevWe2Fv3xjx8VEICbkHK6vCfJKfBZydZ+HhwyJ48aI5SpaMz1FlOWH5cjja2ODejh0w0tfHsI4dER4VhWKUOhRHLe558qChnx/2HTiA7Tt3YkC/frrOUgpvAwOxYNUqTBw6FOPbt0d88nl1znZ2MDTgZ1H+KIMBTAPQH0BPADmpJFetWoTPnz/h4sXHKFo0D8aMGY/Xr1/xuVsWkMkM0Lv3dEyd2hULFgzC0qXESes6IC4uDqPHjEHz5s3x77JlAIAxAwdCYWwMJz53+2GalSgBAFj05g0G5smDvDnoWXf/4cM4e/Eiju7ejdolSyIiMhL3nzxB0YIFc9R842dCIpGgYMG5uHjRG7dutUHt2jnr89JxU6fCw90dN8+fh4GREYYNHIjo6GgU8fLSddZ0hqgFO7lc+VelMvtzp3hCDUgG9sHz1dARf+/diwmLF2Ncw4bfGh6llkSpxrAeCinVNuLNgcLsW1EsXzwDMpkMowf1Sxbd1EPBgsrBX7VRKPm5NB137rDtlFIIJQBFqSGWKcO2ixWkev3eEgAQHp7xTqL8+ZVCY6xjfqg0KXUpPz8zbNjgjwsX1sLdfSTatFkIgBQbIvNO1SdKoU4via2MamGhvPeoqCgsWzYbXbp0RcmS+RAWBhgYWKNwYWvExgKqjUJUlaLs1FEQ1BoGS92LOjdPRu1YoxThVIOvujdn8fGAnh4tE0TFTzirhZ8fsGkTLsfFIdDHB87qJgHUJ0tUYYpUg1bd/7b9+/H07VtsXbAAEnvlJ+5e3y8oUoVPyZhRSmPUPRMymkO6s+U7y5dnnwV46xY7elXRqN3c6OKilIKmGjRlZyiQSQH827cvWi5disbTpuH57NnKC8Q5YQly9qI9JYJFKTFRawaWFt/GqspVJsHHxwdb/mkIiZAI5WNn6eSryj4iPondH8qk7D5EkLLDh3xm+8o6IZidUerGKJU3VgEVLar8V80xEzZxQTCLC0eSjTPzOqUeS4tieuHhQwBIhK3t/+DiovzUdDRx+oHJIvYB/zWLipTVpjKazN2HD7HrxAmsnTsXRi4ugL4+3FmDDVXGrHkIVQhUhaUGMXWqr99DtUHV/aj7PNXYOGN1OWoQI/K/vEMH7DtwAAOHDsWA1McHqOrgd0TbuTHtRhEf0xupvpsqm1Rj1czly2FqYoJB/foBggAZgFK2tmnDU2cWvnnDtlPn5FD9PTV/JYivxz4LkFKC71XnpTJb4eEYlFHE9vbK8ZRRZwXPgowfAJJbN5l2KwAtAOwAMBnKxTsAwPnz7LSpCTI12SPKOEI/YzGQ8PAw/PXXfHTq1AsuLnmSq7EtHBxs07iBmlaQx1dS7ZP6AWvyRtUDsfMEVXg1czeVYCjVVdSowbZTat758nUG0BXXr5/C1aufYGqq3NVy+jT7Oa9dO3Y81BoapfRrb0bIH4cp6/Hff/+Nt2/f4tC2bZAoFACAoqVLpw1L9SFU/0e9wKHmwVQ8ROFTQxVVRVQ+USP4rl79u3hxtv3ixXQmPQDrAHQF0OL8eVxXXTh7VlzchEyxvT5RMeOIep3sQ0EQMHn2bPhWrozaNWsCAEysrFDO1TVN8Nef2aqecSauTLuFyCGYske5F2PaKZdYMNRmrQ2Tx291Z7J9+aLsg6iKQ/URhET0hQVNIfEBEhPDMbLpX/AtVQoA8DBO5GflYhRxAbqTSu4Urt6+jcPHjmHLokUwiIwEoqPhYW4OmJun7TioQmY1OKpsiDlOPmP21wMunRyZ9suX2dFT/a5q2inmZBGdntJoZWqKQsmNLietku/Zvx8d27aFpaWlrrPyy9GgwVgAgJ6ezjZ3puPSpUv4+PEj+vb9Q9dZ+SXpm6zOpaAmOTpgz/HjqFSqFEoVKaLrrPxy1CumnMBY5KA3tJ8+fcKFCxfwR79+OWqs+VWoUWMnAEAiyTltfN+xYzA3M0OH337TdVZ+ORytreH6/UJYDmDPwYPo2q4dTE3ZD2+cH2dq8r856bCIS5fOIjT0K7p143M3TSORSFCpUicAgFyec8byPQcPoqavL4oULqzrrPxyNE3+V6HLTHxHYFAQrt+8iT969dJ1Vn5J/k4+KkKWg57P9h47BjsbG7T8iURJswOdLthJJBL86e8PADhFbRPJZuLj4/Hs+XMU4w/yWsHGJi+KFKmLBw+OIT4+Z5xx9fjxI+jp6aEwnwBohSHJW5jXP3+u45x849GLFyiWvJDI0SwmhoYY4eeHFx8/IujLF11nBwDw+LHy8OxixdhvQzlZI0+eJjAwsMLz55tyjODIo2fP4FWgAGQyma6z8sshkUgwq2dPAMBl4u19dhMREYHAd+9QnM/dtEJBAFUBHAaobxyynadPH8HY2Bju7oxtK5ws06DBSADAxYsbdZyTbzx68gTFcvFncdrEAsrP3h8BIPYuZTuPnjwBAO5zLdGqVi2YKhTYeCjnnGP36PlzFClQgJ8l/h0610FuVL48qpcogRZTpiCQ+jQlG5HJZLCzs8M7kZ81cDJP06bTERz8BJs399Z1VgAATk5OSExMxMePjM9zOFkmr4kJ/ihYEENv3MAFagtzNuNkZ4d33N9aY3C9ejCWy9F00SLEU98SZCNOyZ9p5MRD8n8FpFI9lC07G8+ebcDjxyt1nR0AgJO9Pd7lkP7mV6R5lSqoWKQImowfjw85YGFeoVDAzNQU74KJz845WWYmgNtQPtTnBBwdnREVFYWwsFBdZ+WXxMmpMHx9e2DTpj/w8uU1XWcHAODk4MDbuBYZAUACoDlUB4XoFidH5SeI3OfawUAux4y+fbFi1y78ffCgrrMDgM/dKHS+YKenp4d/x42DgUyGttOnIy5e9+/uShYvjov//afrbPyyuLmVQocOK3Dx4npcvLhB19lJOZz40qX05zpwNMP80qVRzsYG7S9cQHA0cUZJNlLSywuXb99GUg5Tw/pVsDMzw57+/XHj9WsM375d19mBm5sbLCwscJFxdgtHM3h6+qNgwZ64cmUwPn0iDkbKRryLFMGrt28RxF++aQWZvj52TZwIAUD7P/9EQqJuH+8kEgm8ixXDxStXdJqPX5nyABYCWAFgm47zAgBFi3oDAK5du6TbjPzCdOy4FK6uxbFiRVtERIToOjspz2c5ZSf3r4YTgJ0ALgAYp+O8AECBfPmgUCj4M7kW6dOiBTr5+aHfnDm4++yZrrODkl5eePLyJT5RB13mUnS+YAcA1mZm2D52LC4/eoRZOeDhrl6dOjh99izi1J7WzvlRKlTojEqV/LF5c28EBRGHPWcT7u7uKFiwII4fP6bTfPzK6Eml2FK5MmISE9H36lVdZwf1KldG8KdPuJu83Z6jecp6eGBe27ZYcPQojp8+rdO8SKVS1K1bF8eOH9dpPn51fHzmwcLCC6dPt4Ug6HYBp66vLyQSCY6dO6fTfPzK2FtaYuuYMTh16xYW7Nyp6+ygfq1aOH7mDH8Ro0V6A2gHoBuA9+oOSdcyBQoUgqurG06f5nM3baGvL0OfPtsQGfkFmzcP0HV2UL92bbwJCMDTHHTEyq9GZQAzAPwJ4HzycSK6QiaToVa1ajh26pRO8/Grs3joUOR1dET78eN1vhher1o1JCUl4SR/wZ4GUacMurw6DzOFAnjFXueTUXJAlMpbqtXTyk5OaF2+PLaeOIGx1A4cD+KcCtbkjDpAkcpLqvDWJiaIj49H9OfP0Ddmq/1Vq8aO5t49tv0koYpO2SlVK0q0qGFDtp0SqVMd36VWhSgZlvCPWAGltF/GSTBmzDw0arQB27btQ6NG6WUeqbmgkxP7TCILC3Z4Q0P2d/Cpq4KFhTU+ffpKVg+Avl86Xbadui9W/KQQIhU5VXFUiap7kImLUyr4iHVuJqR+8wAYFhWFMSdOIOLJE5iw7oEqTCpdKp+UPbkSWtsoFc++RkbSYanGQ+WRElmgFv4p5xJnQlXycGfbi7Pz+TFGefC6GtFQpe9MTWm1zO/Vc1UQinnRrTqn/Hf3lp2w6PJ/2DZhAmrVrZsurKJFC3bcxFhiwA4NBaFMlnqIs7aywu3bt5X/Q3R8Mqp9EHXkawxb5ZZUHzQm6hrVKYhRg1aNp+pkp5KlBO1t2Atqj5+x+8vMCScqULz4DJw8WQthYbfwTYX3G9QGKC8ve6bd0YooM6qQk/sVU5kMMpkMX6OjlW2T6typvpTVzimFaOqzbypNqjDFqlOq+hx1A3loqFIBPLnfSwc1bhDqseE+NVP+u6xPTTS68B/+uXoDQwnJSSNK3p7VZ1JlSfQJIRHfegUDCxdERUXhXYwCznmI/pXyITV/ffWKbafqDTUJJO5LtovYq0aNeap6qaadR8fpQRanByNG3ZAQKn3RhUoy7Uap/CoBsODLF2ypVQsHJ05EN9YPqBc0lBo2MXaaEx/lJaZIX0hga2uNmJgvsLKimwnlWqrak4rB1I4Pll3sIe7qFKjVxKdSiKWmJ44m7IlAg3rssh81NvU4kA+lSg3C5cszUKJEDPT109d9SiWxalW2nZpWfCHGVEtjZZ21Tnbml4z6PGoulicP2y5WzZKoOIlS9rNJ2Fd2NFRXpJrOqFWQjIoCBIG+X2rBg1LFTSXtPlQQsGTpUmybNg2VWWGpzTVUPaUaG1ER4qXf+nULGzu8DgxCvKEpZFHsz9/djNlH3HwxY4sjUfWV+hLzxQu2neoSqPB16qS32dgoZT4iItS85ExMVI4jVL2k6jFV0YYOTflPMwDTDAzQ6P597Nr1AM7O6c+CJfsWQ2L+Ss1n1GyGskyuK19V82KqfqdWqE9FZEz6OSz1mEd9gGFhwZZeeUYc2UsVcVAQ204+smRAjthhp6J5uXK4HxCAp2qfMLXL0VOnUKhAAZhxpTGtYmJijtKla+HSpd06zUdYWBiuXLmEMmXK6zQfuYHmXl6ITUjAkfv3dZqPo+fOQSaToSQ/yFarSCQSNGnyG3Y/e6bzt3ZHjx1D+fK8jWsbO7uqkMutAOi2Xz978SLi4uJQnlos4miMRo1+w82b1/BWx+eCnj59FMWKecOQWkzjaARbS0tUKVlSxy1cqf5948YNlCvH+3Vt4+n5G+LiIvD2rW53qR89fhzGxsYoysVltIpUIkEzT0+dt3EAOH78KG/j2UAtS0uY6unhxg3dev34hQsAgPIl2S+Qcis5asGuUsGCAIDjOj5c0t7WFmHh4fyzimygWLHKePr0KiIjdXdosEKhgImJCUJDv+osD7kFNwsLOJuZ4ZiOlQXtrK0RHx+PyBxwnt6vTsWKVRASHY1bOj5E1s7ODl+p12AcjSGVymBjUwHAcQC6W6S1s1W+Wf8ayg+k1zYVK1YBAJy4dUun+bCxsUNYWKjOXw7kBqqULIlLADL4KEHrmJmZwcDAgPfr2YC1dUEYGdkgIEC3C3Z2traIjY1FDLmNnaMpqri6IhBK1VhdYmdnjy85QNjoV8dQKoWPqSkePNBtG7dXfQGl4yMXcho5asHO1swMbSpWxJQHDxCnwwOMWzVtiqD373H8zBmd5SG30KCBP5KSErFr12yd5UFPTw+NGjXHli0b+ERfy0gkEvTz8cHaCxfwUoeq0I1q1oShgQE27tmjszzkFmrVqoMClpYYn/zWTFe0atkS+/fvx6ccoEb+q+Pp2Q/AfwAO6SwPRQsXRqECBbBh61ad5SG34OzsggYNmmDi5s06FZ9o2rQ1Xr9+iUuX+LmF2qZ7s2aIhFKEQlfI5XI0bdoMGzfqXrzsV0cikaJUqb64e3c5IiICdZaPpo0bQyqVYjPv17VOwwIF4Abdi0+0aNEKe/fuRih/+aZ1+jk54fHjM3jw4ITO8lC6WDHkdXXFhhxwLm5OIkct2AHAmGbN8C4mBsd0uMvu4NGjyn+P8YNstY2NjRNq1eqKEyd0t1j2+XMI/vlnPV6/fonPn3WvgvWr0798eRjKZPhHh6pP/zt3DjGxsVi2ebPO8pBbkMvlGFa2LA69fIkPag9l0Q4JCQlYtnw5EhMTcf36dZ3kITfh5FQPQCkAunuQvnnnDh49fYotfNKXLQwdOgavP3zA2bt3dZaHY8cOAgBOnjyiszzkFtydnNAeumzhQHBwMLZt24qHDx8iUkdjS27Cx2cwJBIpnj7VnUbwoSNHEB8fjzXr1+ssD7kFQ319DAGwF4Cu9rfFxcVh0aL5iI2Nxd27d3SUi9xDE2trODl54cIF3fXs/928iZdv32JtDhAhzUnkuAW7oq6usJDJcFeHK+lzly8HACxetUpnechNFClSBZ8+Bejss9grVy6l/PeBAznhxIZfG2O5HGXc3HA3UHdvaTfs2gUAeK3DPOQmqrq4IEkQ8FBHMu1BQUF4kqwIPHnKFJ3kIfdRFYDuFm92HTiQ8t/vdXzMRm6gVKkyMJTLcZcSadAygiBg8eJZAIAFC/7USR5yG1UAPAWgq48Tz5//tpPy0KGDOspF7sHAwAw2NiUQEqK7fn3d338DAO7o8MVAbqIKgHgAT3SU/uvXrxGcPH7Pnau7L7FyCxKJBJ6eVRAYqLv2tePw4ZT//sJ3VaYgTsYoIAAwMqIVPqgz3yh1GEJZMq+FBZ4mJqaXdqLkNljxU2lShxGnUiE5cfgwyidLG5maJkJPj62ax4IqAkpEs0sXtp0SqaIE1CjBySdEL6sSmaHEZlQoFEqxTFa6lOCcWDWW36qbY9YswMPyCsqmOmRy/2W2ug+lrqLQj2XaYxPY2pKqz+PLl/fDoEETMX/+ROzbtw9ly/ZghhcrzEPZqeZDKZmJQp0is7q30B8/AgYGdDuhKjjlXEKNyv3dO9x5/RqYNSvthYkT2fFQiq2U6hzVUJJljpbNmIG8FSoAAF4EB8PDzS19WKqCU1CLUVRZUhWEUtmiOgWiDMwsRIrmUA2XOh+oUCGm2SjgeTqba0wMpBIJnrx+DV+DVO2RKgOxksyUv5Prax4HB/yzYQPade6Mixcv0qpTVPsh4rfUZwskWX4lfPWAGMPUqYB+T0af9apTDE1IoMsLtGAtVb2powkbNnTHkSMvMXFiHPT15WrDU7cqmFky7ZKYjM+fHD5sGC5cvYrTZ8/i+MWL6FC/PjugOnXGzGSS6heptk+lSbU1Kh6Viqu685xiYjJW/6b6VyKfpjFscQl3S0s8efgQKF487QXqvnx8Mp8Xol/8JmQrwbp159C1q/I8PSExERKJJF34eBN2faLUB8kxhmpnrHsCgGfP2HaqLlANUWVX086TkpKrJavBEZOZa/fYc6UqxT2Y9rxGRkB0NJ4aGaFY6nmyyGMHvoSx59jU2q+qubm7N0OXLiOxfv0MbNiwF76+rZjhxQ4bJNQPWM8b1ERVrJq86rlHTRtXxH6GIiYeioSvRDxE3on81KnjyrQ/eJAXgYFPMHx4WvuCBezoxU7RqGKzhLK+r54/HwWShYQCHz+Gs6Nj+sBUGVN2KjOUT4jwemHsfWi2VuznUamUXe9VTVyt/uKXL4BKBZ0FNZcU0R+7J//7FEC51BcoJWiq/6aUaYkylpkoxyqvwvmxYf16dO7SBWfOnCLjj45jl6VlArsQixdnz4+pZQZqakjdLlWPWc1YNbyr7Y8UCuUajNjz9an+mIinWo28uHZtM5o2TYI01VhBJkt1sFQHTvVlyQUxrl8/nP3vP1y7exenL15EswYN2OGJ504F69mNcJSrEzG3IuIu6cGOx8XFnGmnuhDVMe5qBHPTkON22AFAWXt7XNXhG/FyPj6YNmkSzM3N01RWjnYoUaQI9PX1cfXmTZ2kL5VKMWjQBDg5ucLTkytPZQdlDQ1xJzYWMToSdnF3dcXBDcot37yNax9jfX0UMTfH1RDdfXLetnVrNGrQAPXq1NFZHnITrq5lkZAQi+Bg3ShCm5mZ4Z916wAAptSsmqNRyrq54Rr1YiEbKFmyMnr0GAsbGwfmYh1Hs5SSSiEBcE1H47ienh769fsTFhY2yJPHUyd5yG2UKFEW9+/fRILo1U7NkN/DAzuSP4fVpxakOBrDAkABAFd1mIdOnTqhVq1aqFWrlg5zkXsoWbIsIiIi8PTpY52kb2Fmhm2LFwMAjI2MdJKHnEiOfFItZ2+P+58/45MOFRwfPHyIIoUL80lfNmBoaAjvokVx5tIl9YG1RHh4GIKC3vIFu2yinIEBEgBc0qHS14OnT6EwNkYeZ2ed5SE3Uc7GBmeDg3Uq7PLg4UMU8fLSWfq5CUdHb+jpyfDype7Em+4lv8bkPs8eyrm54WZAAEJ1OHd78eIB8uXj43h2YCqRoIhUijM6FBr58uUjvn79BA8P7vPswNu7HGJionHnzjWd5eHB48ewtrKCndivIDg/RDkAupZgfPDgAR/Hswlv79KQSqW4cEF3Xr//9CkAoEiBAjrLQ04jRy7YNcqbFwZ6elihwzMK7vHOIVtp07Qpdh86hHc62ln59KnywY4v2GUPJQ0M4CmTYZkOzye49/gxvAoU4Dvssok2efPicVgYTlKfT2uZqKgovHj5EkUKF9ZJ+rkNudwYXl5NcOnSUp0t0t5/+BCGhobIS32XxdEozUqUgEQiweqLF3WWh+fP7/PFm2ykjb4+tiUk4JOO2vjz58odvHyRNnsoWbIcXFzcsGHDUp3l4d7DhyhSqBDfUJFNtAFwG8AFHaX/5csXBAUFoUgR3sazA3Nzc9Su7YfVq3XYxh8/hpmJCZw1clbUr0GOfFK1NTZGEw8P7H3xQifpx8TE4NHjx3zBLhvp2rYtEhMTcfiEbqSk79+/BYlEgvz52edycTSLVCKBv5kZDkVFIVZHE/1b9++jSMGCOkk7N1LDwQHuJibY+/atTtK/c/cuBEHg/Xo2UrZsd4SEPMOHDw91kv7N27dRuGBBUefQcn4cJwsL+Hl5Ye8d3aj5RUVF4M2bp3zxJhvppq+PGABHdfSJ5OPHN6GvL4OrK3FGFkej6Ovro0WLLjhx4oDOPou9de8eihBn6HI0jx8AByjVYnXBrVu3AIAv2GUjHTt2w4MH9/DyZfozqbODWw8fooinJ1+UT0WOXLADgPpubrj+4QOeUodjapF9Bw4gNjaWn3WUjVhZWqJcqVLYuls3Kq0HD25HhQrVYGREHN7K0Tj1jY0RJQg4qE4IQws8fv4ctx88gF+NGtmedm5FIpGgvpMTdr15g1gdfEK1fedO2NraolQqYRuOdsmbtypkMmPcvr0129OOiYnBvoMHUZ+P49lKfS8vXHz5Eq91oAh94sQuJCUloWLFutmedm7FQSqFt1SKrTpYvBEEAcePb0e5crWhry/L9vRzK9Wr10dY2FecPXs029O+fe8enjx7hvr8PLNsQwKgHoAdAHSxRLt9+3a4uLigaNGiOkg9d1K1ag3I5XLs2rUt29OOiIzEodOnUd/XN9vTzsmIO7FTIlGqS1EHfVLnUVETN0LaNHHeQjSPicHIAh6YJpFizbyFAAC9tavY8bAUSig1NEptLfmeQkNDMWr8eFSvVg0FvbwQSijDUEcniF1fpLJJibrcuMG2i1Wq8Uw+n5dSvlHx8KFSmMbOLv21gu5sVdYkE7bSWMnixEP6pkMAgIE+Pmi9bBkuL1qE8vnz41NSZ2ZwSlUlPI6dLlUtVaJtZ87swMWLpzB+/DY8e0ZXV6osKfEjav4qRjiQ/FoziPiskJIFVinKqVOQVAcloUTdVOPGbPvKlSgOoPrgwZgSEYFmf/2lfJOylXiw79CBbacKmWoQVlZITExE/ylT4OToiIYtWwKmItVUqUZOOYvqLyk7FQ/VWInOwiC5czGIItQGVcjlyj+qUyPsifrs9qbH6CyiVygFPno8eogVpYtgZbkq6N69F4zev6TzJMZOdAqCXJnHu3fvYtlff2HQoMHQM1aA2tMpoQ5Pp+yU5CllpzojsQMBC9U4KFPz4CqVKv+IvsDLi90eqKz06cO2K2/VCLVq9cKZM4vQtu1gKBQWZFOmikDyla28R7aT5D5h7PjxiIyMRJcWLZT3SvVRVIfPaudUJimowYrqh6l7otJV1Sd1h/6rJEOpPodSMM2Th22ndtC1aoV2fn4Yc+wYZjx/juW9eyvta9eyw4vZJUMoIRYqpKyvISEh+Ouvsahbtz5q1HAD9UqALCpiLIk2tmbajcT6Vqzis5r6rU5S8OpV5dwtT570RwC4E8NjFR/2nO7pG7YCXoHkT58H7duHzmPH4uaaNShZuDAweTIzfLRfc6Y9iShKam6lqsZbtmzG3buX8e+/++DlRQ+RpibsHj8+gdi9YejCtlOVh+VDqr+h2jIVt+o5Sd25kCr1b6reUPWPyCcldnzlCmBi4gMvr/KYNWsKXF3rQyKRgNq4nrw5Kh3VqrHtVJeDr0B8fDwGjBoFN1dX1K1RQ/TcSjUf+B4JNV5TbYxqsyy1YIAcB0ws7Jl2a7N4AEBYWDw7PhXR0Rn361Sd+iatnRbWM3my/O+AgACsnzMH/7Rrh04+PsDAgew4qIVUKi9EfVW1zRs3rmPN2rUYPXocEpP0IJWye3YjOdXjs8uGWH4gH3GoIqbiocKzqpqqaNRq96jmbmI/E6X6nIoVmWbzOeNgDsC/aFEsnzsNw2NDYSKXI7D3FGZ4y/ePxKWrRsV55NSpSEhMRKcOHZTPctS8mXpmYbVDalymvuSk+lGijYtRewUA1V4RSgyemSVxSWQfhoaGGDZsBDZt2ojnz7NvS+bI0aMREhKClStWZFuaHCUtypSBl5MTJu/bl21pRkR8xZw53VG1agv4+rbMtnQ5SsZ36oRbz55hfzaeebRq7VocO3EC6/76C0ZcgShbKVSoMJo3b4XZs6cjTuwI94MIgoDOnTvB09MT48aNy5Y0Od9o2HAY4uNj8b//Lcq2NC9dvYq5y5bhz7FjUSBfvmxLlwOYmJhgyO+/Y80//+BtYGC2pTtixBBERUVi0aLl2ZYmR0k7Pz/kc3XFlJUrsy3Njx8/on//3mjbtgMaNGiUbelylLvlO3WagAcPLuP69ePZlu7S1atx/vJlbFi2DHKxL084WcLbxQVNihbF1GPHkJBNX0gkJiaiS5eOKFq0GIYOHZ4taXK+MapSJYTGxGD59evZlubpCxewdO1azJkwAW6urtmW7s9Ajl2wA4AePXrCzs4OrVu3wCcxOw1+kKCgIOVK/siRyE+92uNoDalUivFNmuDwnTuYlk2Ldrt3L0F8fCz691/Mv5XXAdW8veFbogR6L1iAu9lwZmViYiKmz56NNi1bog7/pEInjBw5DoGBAejevRMSs2Hid/DgQdy6dQuLFy/hC7Q6wNLSETVr9sK+fTNw/fr+bElz6ty5KFKoEAb9/nu2pMdJS19/f5ibmaG5vz++ZMOxJi9fvsSWLZswduxEuLm5aT09Tlr09fUxtmdP7D5xAnM3bMiWNJcsWQCJRIJZsxZkS3qctJQtWxdeXuUxZ043vHlD7LDRIHFxcZi5aBE6t2kD30qVtJ4eJz3j69bF048f0X3rVqjbDKYJdu/ehUePHmLJkuUwMGDvjuRojzzm5vD39saks2dxNJs2Tk2ZNw+lihdHH3//bEnvZyJHL9gZGRnhwIHDCAgIQMeO7RGv5TMy9uzdC0EQ0LNHD62mw6Fp5eODcY0bY+yuXbhyZbvW0ztzZjt8fVvCyoor0eiKLWPHwsbcHL9NmIAQauuzhvjv6lW8DQhAP9WnWpxsx8urCP7+eyt27foX4+fP13p6//67HcWLF0fVqlW1nhaHTZs2f6JYsdpYurQdHj++r9W0voaG4n+nTqGvvz9XgNYRpiYmOLxlC56+eIHOf/yBRLXf+mSNvXt3QSaToXNnPsnXFZ0bN8awLl0wdO5c7KO+K9Mgu3ZtR6tW7WBtzf5kmaNdJBIJJkz4F4aGCkyY0BxRUV+1mt65S5fwPjgY/fjzmc4o5eqKv9u3x4arVzE9G9LbsWM7ypb1QdmyxPfZHK0zp1YtVHZ1Revdu/HiBXHkkob4+OkTTp0/j37duvENNAxy/Gy2RIkS2LRpC06fPoUpBw9qNa2jx46hcqVKsGCdicfJFiQSCSY1a4Z25ctj9eqO+PBBe7uuQkLe4cWLuyhfvoHW0uCox9HaGrsmTUJoZCS6nj6t1bSOHj8OKysrlCtbVqvpcDLmt99aYvLkPzF92TIcOnVKq2kdPXoU9ev7aTUNTsbI5Ubo02cT7Ow84O/fRKufQ586fx6JiYnwq11ba2lw1FPG2xubli3DoePHMevMGa2mdfz4UVStWg0KhUKr6XBoJBIJZgwciN9q1kSb//5DQFbPy82AV69e4vnzZ6hbl/frusTW1gWTJu3C58/v8PffvbSa1tFTp+Do4ADvYsW0mg4nYzqWLYuJ9ephHICTWkwnKSkJJ04cQ/36/PlMl5jI5djSrBkcFAp069ZUq8rQx8+ehSAI8KtZU2tp/Mzk+AU7AKhVqxYGDBiEeceP450WP694//49bKhDDDnZhkQiwaquXaFQWGHPnvFaSyc0VPmZtbk597muye/sjIV9+2L/mzc49+6d1tJ5HxwMK0tL6OnpaS0NTuYYNGgYqvr4YPScOYiPV3O48g+SmJiIjx8/8n49B2BkZIq+fTfjzZsX2LxZe2ddBSef6mxtaam1NDiZo0Ht2ujr74+ZZ87gozqFqywQHPwe1ta8jesaqVSKdVOmwFhPDxMfPNBaOh+S2zjv13WPm1th9O49B9eubcfLl1e1ls77Dx9gbWnJd97kAMbXrQsfAKMAUtwnq8TGxiI0NJS38RyApZERNjVtiqdPH+Lff7V35MH7Dx+gr68Pc0q8JZcjTiXW1VUpO0UVJiF3kejqig179qBDo0ZpDwol5FVYKipdu47A5iWLMGTxYvxTrlzai7/9li58vBl7m7wsLpKd9a9f8d+VK/jvyhUIiYkpg4K5WcYKNt9DKcawVFYBWtWKOk+VUmKiNgVSYpmqdU91c+iKpWNhZhbLzFAsocpqinA8ffYML1+/Rp3UK+XEC1ehU3o1WCMAC4KC0HXSJMzoWhW+pUunXPtoUjpdeIAWkqEEaUJCrgAA7t/fjxYtvuWTqt7UC2NK5YXKjwshQMYS/jGIIhQSqbccVOZVkatzuEpNkLopqqLp62Pnkyeo5OwMh9S7HB4RZ5t4e6cztW7bFotmzkSvQ4dw38oq7cSsTRt2PJSkGPEp3F9r1gAAwsLCYKYqK+peqV1AVBmrU3L8HkpFjqpoGSjfZhi/ut1M5ub0PQGkImSopSWOnDiBdi1apLEnWqTve4NesWKQYM6kSajQsCGW//sv+nfv/u0SlR/i07qQKPbZdC+eXEJSUhJmzZqJoQP6f7tAtB/Bgr3II4ljqyeSvqVUvKjw1IsoyuesOqtSO1W3syUgQDmOEx1RmD5bJdbHB7hw4QysrKxRuHDRFDuV9XzurKl8YTw/7IsZU4eij6UEVqnu720Ntiq4gwPbJ7KoUKb9UPJurnsBAShfvvy3C+8JZW2q3bJ8SPmP+uSTkooTC9VHqc7aVedzQ0PlH6UiTrSH+Fev8PeJE+hcqxb0U7/koO6XMb6M7t4d/6xZgxELF2Kt/XeqiMWLp4+DajtEWYaHh+Du3Tu4e/cONm/emGKXJLBfAsQksFWU5VaEGuyzp+z8UFD9OtWWKfl56rNSVYNToxpqbq5MkjX/kRFKi4iJw8PHj/Hu/XvU8PVNMRfwoFQo06v8mgGYEheHPq9eocerV0g9WzeawT4HyYgoG8GKraJ59uxlAMDBg8dQuPC388xoAXf2fJ1q+l9j2OOJLTXfYLUfqu1Tczdqoqpqa+oWqvT1M+5vqJuNiMD2gwdRvXx52Kb6vDhO35YZnJX9GjU6YenSJZg/vxeKFLmeZu42nnjnTjUHSVL6uikIAv7euhUAEJWUBGNVWVHzWaIcJJ8+igpPlhnVZqkjGIgHwCRiOPkYpuyjwsPVKL4nJAB6erRqLVHIHxMTcfLVK7QuUiTtBVbfxZg/SgDMBVAVwFoAaT5SplTXKYhGe+fxYwDA4kXz8UfPbin2SOK5k3KVviG7LesTzdDTU1Q2ydulhkjWI9SrV8p/1W5KzpNHOXejMkM9C1SsiBMPHsDJwgKFU9ddal7BOE+8tEKBTh07YsqUwejVvTlMTb/NE18npFciBwA3J+JFPNEH7j16FAkJCXgaFIRiRb/NMcnCpJ5tKBVkMVAViphHOhsTZUn1UY+UZaAn4kVmtuywu/HgAY5euIAXWShES0srDC9YEDsCAvAxlnh4ygIGBgYoXaoUAOCdFnf45BZ2HziAw8eOZSmOzg0bopC7O1bs3KmhXKXF01PZIbx9q32xg1+duMRErLt/H9eDg384DqlUiukmJniYmIizWtpxNTRZiv58NqrS/qocPn4cB5IH2B+lbMmSaN6gAZZv2ABBEDSYOyV2tsqHDn1NLZzkcnbs2IwLF05nKY7JzZohNiEBmy5d0kymvqNd27YAgJNa/tQ6N/Df48c4fusW3rDeomYSe1tbDLawwJaICHzRgsiMsbExChVSLhx9FvuwyEnHzr17ceR41pQ/ewFwB/CXJjLEoHjxMgCAp0+1t4svtxAZFYUNO3fiVhZ2ROrp6cPFZRqiom4iMlI7u+x6J7/Qu3zlilbiz00cfPoU+x4/ztKcqzKARgC0pcntmPziRhvzwtzI5suXcY56YZdJpk2ZgoiICGxJXjzXNP6dOgEAjmv5aKSflWxZsCtdpAhGdO+OgnnzZimeTsnqX9vevtVEttJgYGCAmdOVx2jGamFBMLfRpX17DO7XL0txSCQS+DdujF2nTiFCC+ehlCxZDn5+Lbi/NYBcTw9/Vq6M2llU6KsmkyGfnh42akl8YuSQIQB4G9cEzRo0wPhhw7K8GNa9fXs8evoU12/f1lDOvuHm5oapkyZlixptbuCPP4ajdetOWYrD3twcjb298feFCxrKVVratG4NZ2dn3sY1QIVChTCiRQt4ODpmKZ6uZmaIEwTs1MJnsUZGRpg1azYA3q9rgu6dO2Ngnz5ZikMKwB/AdgDa8IiPTyXUqtWA+1sDKIyN8eewYaheoUKW4jE3rwO53AWfPm1UH1gkEokEY4YPB8DbuCZo4eWFCb6+Wf68uDuAmwC0ISOVL18+jBkxQmvHpeQ2Rvr5oV3qLw5+ABcXF9SrWxcbN23SUK7S0qldO1hbWfE2TpAtC3ZSqRQlvbyy3DlYyeWoYmODQ9SnLVlElT++op917Gxt4Up9+ymCJr6+iIuPx8mr2nlrp/Q597cmKGZrC3kWz4aTSCRoLJfjcFwckrTQDnkb1xzGxsYoVKBAluOpVrEizExNcejECQ3kKj38zBvN4eGRH6amWT9fpEmpUrj+6hXea+lMWu5zzaCnpwfvfPmyHI+Dvj7KGRrikJaECLi/NYeDvT2csrhACwBNAEQCOJvlmCi4zzVF8cKFs/ziTSLRg4VFI4SGHtLK/Iq3cc1hIpfDUwPqyrWhPL7oUJZjYiORSPhcXUN4OjjAhDquQQSNGzXCpcuXtbabnfuc5qcQnUhNCxcX/O/9e7yKZJ9FlxWSkr+TllLnEHCynQJ58qB4gQJYuXu3VuJPSkqCRML9nZNoYWiIoKQkHNKCkiRv4zkPmUyGJnXrYu2WLVpRoFK2cT7Zz0k0KFEChjIZ1pzVzuO8IAjc5zmMFgoFDkRGIkhLbRzgD/U5iWIAPAFoS15GEHi/ntOwsmqB2NgXCAvTvH6o6gUu93nOwRBAQwCrABCnjGUJPnfLeTRp3FgpLrR+vVbiTxIE/nxG8NOVSmc3N1jK5Zj/VORBwJlAtQ3TwIB9qCUn+5FIJBjSvj0Onj+PB4yDMLNKXFws5HLu75xEBX19lNfXx2wt7MbgbTxnMuT33/E6IAA7DhzQeNyxsbHc3zkMaxMTdKlcGYuPH0eMFhbmuc9zHt3NzWEklWKRFnZV8n495yEBMBjALgBsqYmsERvL5245DVPT6jA29sb797M1Hjdv4zmTIQCeAtinhbhj4+K4v3MYDg4OaN+uHRYsWqSVz5X53I1G3B5oW1ul6gz1hpRSUKKUJQklQMcYtvrVhob/AgAqJIzByuOL4TlwBUxMrNH5yOZ0YWW1ajHjCDdOqzr14sVz9O/fAw/u38HnL0pFTkNB+CbXQqjsyPTZa51yOfttAKWIRO1C9/Bg2yndDrFHwzx7pvxXjdCYUlXOxIR5AwbUOWPU6jhRDyTUA1vyQdJtPDwwYvlyzDt4EKuXLsVXQjyN2qH7fbI7dqzBypV/IjExHoGBb9CoUes0WaaqNyVUc/ky204p+lLnd7PF8QjlMOpzY2rLsyrz6j5ZNTdXxkEtllEKfpTPqXiofN67p5zo79uHVt274+rGjShbsiRAHYhMOD06T8GU/w4LC0Pfvj1w9uwpSJPf1hnp639TGBK7TZyq95SqEKX+RvWLVEWmypKyq1QG1XQOgrECgrGCqc4GgFZEI9oty0xlYe4eVX9sj/z5a2DY1NV4G9YDFSuy65NKFPN7vi/KU6dOYsSIwfjwIRjv379HwYIF09ZRSkWOKgNKTYsqG8onlPotVUeoAYIVv6reqNt9bmCgrPMqabLvcMxDdHQmbAUyawui/35PtJNkVfdBxYphRenS2BQbi+5t2sB13iR2+A4d2PZUg2RSUhKGDRuGrdu2wcTEBJ8+fYKBkQKJ+Nbf6YmVUmf5nBoEKP+J7f+oekbNrVTxqDujUaX+LVZd3MaGbafqJdEeds9SvmD1XTcES0+tQ9EJ16BQmKPZK8aR5cQ5Oy/fp1X7e/HiMUaP7onnzx8gJESpkhgVZQjV1zRWVmyFRUUScT5OFFE2VL9OzVuoOkLFQ42dVBmr6oiac17j45VZZM0ZHRzY8wA9ql7euMG2E/UmPEzphGbR0Rhd2BUzm7fB3LlLYFqUOOOWUJP/ftxYtWoZFi+ei8TERLx9+xpt2nROU6xU9X7zhm2nbpdylYUFW3FSxlIBpdpUofTKugCYyowAvtUzdZ+sqto4VZ+omyIUTA2J6kU8WiVXewmOHx+EOXM6o2vXu8ibtxg531U9g3yPo8O3/H/+/Bk9evbE2bNnkZiobFdxEosUVXgrG7Y/qCYYRSiGUt23Hoh+lXrpQPmICB8nZSugq6JRe8KMXK78o3wuVrH63r30NupZY/VqAEA5ABX+/BNzpVI0GT4ckgUL2OFZiuCM+I8cO4ZhY8bg0+fPeP/+PUqUKJGmXBXUqZgJhNOl7HovS2D33+aG7LI0y8NeRKKmFVQdZLUHdaLHKcTGKisFNfZQbVxsR0dl/pDy4+dBpUph/YYN2D5mDNpXqwbj8o3Y4TMhVpWQkCjqBZ4AAQAASURBVIBBEydi5+HDMLe0RGRkJAzNzCEYK75lx1DB/K1e2JfM51/sXIwaTKhxl2hT8R4FmXbZm+TXWCIWPX9K6bzatfvjwIHpuHBhI+rWHZiluIYN+wPPnj3B7/7++BgSghJFi8KSaoEcnSCXy9Gza1dMnjEDS+fNA8BuvJkhIOAVxo3rgRo1GiN//gKIj49H8+ZZO0Sdo3ma1q8PJwcHLF27FusXL85SXHPmzMDBg/vQv/8QRHwOhqO9PcqVKaOhnHI0RaVKfbFhQ3O8fXsVymngjyEIAtq3b4l8+fLDv0sXfA0NRUM/P81llKMRPAsUQO3q1bFk5Up079w5S3Ht2LED8+bPx8ABA5CQmIQmTZqhdes2GsopR1M0ajQI+/fPw/nzW1C3bu8sxTVu3O8IDHyNLl1+R0jIR3h7l4GREfuBnKMbjIyM0LGjPxYunI3ZsxdlKa4nTx5hyJC+aNq0BZyc3JCYmIj27f01lFOOpqhatTVWrhyM/fuXon//FVmKa8qUKfjf//6HQQMHIjDoM5ydXVG8eCkN5ZSjKfrVqIH2q1bhXmAgimUhnvj4eLTq1AnFixZFo0aNEBoWhqaNG2ssnxzNUDxvXlTx8sKSgwfRvlq1LMW1efduLFm/HkN69UKsTI6mTZvht+SXupy0/JQLdubmyl0ZW7YMQrlybQDiJbA6QkJCcOvWdfz2W2tMHjNGgznkaJraNWpg8owZaNSyJZau+PHD6S9fPgFBEDBo0HQUL05sgePoHJlMBg83N2zYtg29OnVCBcWPLdImJCTg9OkTKF26LCZOnAqjuFAN55SjKTw8qgIAFi8uj+bN43/4EOwbN67j8+fPmDdvADp3aK3JLHI0TKXy5THxzz+xbNUqZEWX8ujRozA1NcX8+fORmMTPvMmp2Ngod1P89dfvqFChxQ/H8/FjMB48uIXWrXtg1KjJmsoeRwvUqFEHCxfORufOrbAnC/GcOnUcADBp0kw4OxOfoHB0jlxuAFtbVxw69Bf8/HrBzKzkD8UTFxeH02fOoFKlSpgyZQpCPvN+PadSraByF5HPtGmI9PRM+ZJFLP9dvYrw8HAM+eMPNGvVSpNZ5GiYcgULYs7u3Vh/4gQaUDvsMsGxs2dhZ2ODOePGQXBy1mAOfz1+ujPsVBQoUAkAsGpVxx/6vSAI6NOnKxITEzFwoFIuPD4+Hr0GDoRb0aLwLF0am7dv11h+OVmjQjnljptjJ0/i8+ePPxTHixePMH36ADRt2hn58ysX6548eYCmTSugQgU3tGzpi+DgdxrLMydrNK1fHwBQsUGDH45j2rRJuHnzOiZNmp5i+3PePOTz9kY+b29MmD49g19zshOF4tubl7Nnf0xkJjQ0FB06tEbp0mXw22/KBYHg4GA0btIEru7uKFmmDK5du6aR/HKyTt2aNQEAfYcM+eE4duzYgTVr12LWzJkptj17dqNo0cLIl88dnTp10MpZK5wfw9VVOfauXPljS7RJSUkYMqQjZDI5unUbBEB57k3//t1QokQelC9fCHv3/qux/HKyRoUKlQEAe/fuRCj1qZUa7t+/i3HjhqFbt97Im9cj2XYHtWqVhbe3G5o2rYFPn35sXsjRPOXLNwEA9Ov347vhxowZg/v372PqlCkAlM9sM2dORKlSHihTJh/mz+dzt5yCU/JXaTHx8Tgm9nymZEJCQtDO3x+VKlRAo+QvIoKCguDXsCFc3d1R2scHt2/f1lSWOVnEr3RpAEDXhQt/OI5NO3di8+7dmJVqw9S2bVtRuHAh5M3rDn//rloRovtZ+WkX7CpWVC7U3b9//Id+v23bZhw+vB/Ll6+Hs7Pyre/Dx4+xcv16vAkIwNPnz9GhZ09s44t2OQK9VIc57NmzUfTvBUHA2LHdYW/vgnHjlqTY584djxs3LiMw8A3+++8sypZ1QkjIe43kmZM1Kpf79llk/A902nfv3sGsWdMwduwkVKyofGhITEzE6MmT8eLVK7x49QqTZ83CkFGjuIx4DiFvXqWfNmyY8kO/nzBhDEJCPmHjxm2QJ5/PsXXbNuw/eBABAQG4desWypYvjzt37mgsz5wfp1iRIin//TQkRPTvw8LC0LNXL7Rs2RK9evVKsXfr5o9Hjx7h9evX+Oefzahe3Tfl0HKObqlVqzsA4OLFH1tU+/fftbhw4TjmzdsEW1vlmar37t3CP/+sRWDgWzx79hjdurXC3r17NZZnzo9jmOqMoF0/ICSlermeL18BTJ8+L8U+adII3Lp1DQEBb3D+/CkULmz/wy9zOZqlePFqKf+d9AOLtFeuXMGcuXMx488/UbZsWQBATEwMZs+ehDdvXuLVqxeYNm0Mxo8fz+duOYRCyedb//nxx9rg8HHjEBkVhS3r1qV8XbFu/XocPnIEAQEBuHHjBrxLl8aDhw81lmfOj+Od6gzhwMC3on8f8uUL+owZg47Nm6Nzy5Yp9i5duuDx48d4/fo11q9fj3r16iJOC8JkPyM/7YKdk1PhLP1+586tKFOmHOrXb5hiK1akCDq3bZsmXJt27TB5yhQ+KOQAPPLmBQAEBweK/m1wcCBu3LiAHj1GQqH4djjkqFEzUaFCtTRh27YtgkePrmcpr5ysU6hAgZT/Dvr0SfTvd+7cDmNjYwwePDzFpqenh+njx6cs5gDAvMWL0bF7d8SoOcSbo308PHwBAAqF+Q/9/t9/t6JTp67wSDWZ8O/aFXVq104TrkSZMti9Z88P55OjGRSpPnV//ANt/OjRo/jy5Qv+nD4dklSf4WzYsFF5WHUyly9fQnU/PwQHB2ctw5ws4+KStaMo9u3bgnLlfFG58rfT70uWLIvmzdulCdesWVPMnDmTz91yABYWysP1X/7Ai7fnz5/h5s3rGDp0TJozCqdNm49Klaql/L8gCGjVqiSePLmb5fxyskaePN+ez8LDxS/gbNu2DVZWVhgwYECKzcjICMOGjU8TburUKejWrRt/GZMDqFlY6XMDSgAjAwRBwLadO9Gza1e4phKh6NunD2p/p3JSpGRJHDx8OGuZ5WQZy1QiC8+ePRb9+0MnTiA8IgIzRo1KY9+4cRO8Uik2njx5EvXq1cGnH5gf/mqIOyTI1FT5Rz3YUopi1CBNbZ0lGnxqATILC+W5CI0b9wXq1EkXNt7ClhmHiV4S7t69i6NHD0EQBJiZSWBgYIB3b97A0tIS6zdswJfwcBw5ehQjhw1D0Lt3mDBpEmxtbPB7qjf4lEqLuZRSFmHfkyGhfkKJ+FB6GNQCNFXHVUWstm9VKQ6y1F7UKZJm1k6oEL38kLZsOnUegokT+6FPn/5MAS5KSC8uLgo3b14EAIwe3RWjR3fFwIGD4e8/FxYW+TB16j+oWdMJZcr4wsenBi5e3IshQ+ri+vUHsEuloCVW0ZcqWzHiM0aGhIoP1QYpuSuVTJq67eqWloCREa1wRvmcavtUxSRU4SKr1k/5b31jW3h45IO5uQXcvL3Z8RCqhMFBz3H50llERkbC3FxZhreuX0eJvHkxauBAxERHY/Ls2Rg3dChiBAGLly6Fibk5Vixb9i0SyuFiHUvFQyk0WbHVOMmypFRlVb5WoxoqiQiHRCrBlwRT5vUYKftcCUcr9iTZSJ7+AdnBgX2myffCYXp69XHixDRUqjSIWUVKEV/Y6EnjcfHiRYSEhGDJkoVYsmQhfH19cfjwSciNLLBv/1G4uNjC3NwCbdq0x7Vr/6FFmza4cOE/lC79TYBERqnCUR0ytWOE6Ixi49jlYGClTq77O1jtX5XH8PCMfxseTvfFAPCe2GFMDSZUfaX4rr62a9IE/+zdC7/q1dltixgfPn36hCtXrgAA8icv7m/buhWtGjdGkzo1kRQdgd/atkW/3r1hbWWFFWvWokm7Djh69FyaHdsKE8LnrDKi+k+x/SKlBkv1CVQ9U/U56nYuBQYq+3WqHlN26r6ovohQHpbLvymleXkpd8z89tswoAXjHDuif3V3jsPt27dx6dJJAICHhwTm5uZ48/gxzMzMsGPjatQN/YALly5hSP/+eBMQgFGjRsLB2gpdOqUSlqLqPjWmUuEpH1LjANV+KDsVj2qMV3NOVIkSymHcIIyxYPKKyDtRBqGeZZl28ydXmXbTpLS7YMZ074Zhc+bg95YtAdZ5tER9kkgTcO/uJQBA165t0LVrG4wZPRqdu0yDtXUhTJ68FjVreqBy5TooVaoSTp7chT59auPy5Ycpi4QA3WwpsU+q2VJqsxaM5w2qReoTFxwpNU5VG1Q3d1MolO2YeEhIlLJVk6lHAKMYQoFRn91X5MnzLX5XVzvY2TnB1TUfunWzZ4aneP7iJc6eO4fPnz9DX6aM8/79B8iXrzCmTJmExMRozJs3G6NGjUNcbCQWL1kCczNTLEilTqoHdps1NdHQ3I0Y816+YrdJKnpKRDOTUzfA3V3Zr1N9CNVPU30d62GGisPTM83/Nm3UCEtPncKgtm2BwowNNcScKF4iwfmLFxEZGYkZc+dixty5qFe3Lg79/TcsJBIc/ecfmLi7w9XZGa2bNMHFW7fQtGVLXL9yBcVTTyDFPncS44wgZ6vBUs2PGnqpZFnxqNyn1t9xcco6SVUoTQlmZnKhoamPDw7fvInmxfNA8vVp+vBEn/bh61dceaoM75wsALhn1y40adgQLZs2QXx0FNp37oyhgwfD2MgIy1euROuWv+Hk//4HaWq/UfMl1nOwWGVdyrFUn0DYZTHEfFy1tkDNsRj8tDvsjI1NUbduVxw5sgZfQ9UfJJ+YmIhp06bAzd0dJby902zTj42NxT9bt2Lu/Pno1acP7j98CP8uXTBpwgSsWrECPbp1w/BRoxAQEKDNW+KooWHD1lAoTDB37qRMhX/x4gWaN28MOztrtG3bGgYG3zriBQvm4d27Nxgxoh22bl0KABgxYiF69x6PPXuUb2+GDx+o8XvgiKNXrz9w8+Z1/JfJsyv+/ucfFPHxQd78+XHx0qU01xYuXowde/eiTbduuH77NsqXKYPJo0dj1syZmDt7Nv5auRJnzpzRxm1wMomXV0XkyVMYBw9OzVT40NBQ/P57d9ja2cG3WrU0OzDOnDmDGzeuY+DAfhg7dhRCQkIwcuRYjBs3Ebt27UPx4iXQo4c/PyNDx/RM3tW++ty5TIU/c/YsKlarBjt7e8yeMyfNtVGjR+PK1ato1ro1Tpw+DYVCgQWzZ2Pi2LHYuPFfXLlyGStXLiNi5mQHpqZWqFq1DQ4dWoZItU8oSuGg8dOmwdXDAyV9fNK08dDQUOzYvRsz5szB7/3748HDh+jp749J48Zh3apV6NiuHQYNH853VuqY9o0awcjQEFOSF9jV8fT5czRo1QrWNjbo1Llzmh3x06ZPR1DQGwwY0Br//rsaADBu3GL06zce27YdQkxMDMaNG6qV++BkDolEgg4d+uP69XO4c0f93E0QBKxbtxolSxZG/vz50p1VtnTpUmzbtgWdOrXDrVs34etbHRMmTMacOXPw5/TpWLR4MS5fvqyt2+FkguolS8LDyQlTjh3LVPjPX76gS//+sHF0RI06ddL060f+9z/cuX8fvYcOxehp0xAZFYVJw4dj4vDhOLBvHwoWLAj/Hj1+6HNrjub4vU4dxMbHY1Mmj584fvIkylWtCgdnZyxZujTNtfETJ+LCxYto1qIFzpw7B0tLS8z6809MmjAB/6xfjzPnzmHNunXauI2fhp92wQ4A2rUbh7i4GOw8cCDDcIIgoEuXjpgyZSIa+Pnhf0eO4MvnzxCSkiAkJeHjhw/o2b07Dh4+jJWrV+P58+fo0O7b5xWzZ8yAIAho16kT/5Zah1hZ2aBjx344cmQPIiIy3kXy/PlzVKnig/v372Hy5Km4d+8hIiKikZAgIDY2AYGB76GvL8Phw1uwatU0FCxYAgUKKAXJ7ezsMGbMJGzfvgX//CP+vDyO5ujVqy+srKyxad8+tWFnLViAzr17o5CnJ/7dtg2fgoMhJCRASEjA15AQLFm0CM9fvcK23btx8OhRdGz9TUG0d69eKF68OLp064Z377jwiK5QTvQn4M2bmwgMvJ9h2IiICNSuXQV79uxA/z/+wH+XLyMiPBxCUhKSEhMRFBiIkiVLYcWKpZgzZwbMzc1Rv75SwEQmk2HBgsW4d+8uRo4clh23xiHwLV8e1cqXx6bLl9V+vnjw8GHUrF8fEgCrV61CUGBgyjgeFRmJa1evIjwiAnv278eK1avRvnXrlN10FStWRuvW7TFx4ijcuMGFR3RJ27YTEBMTiT1qPm0SBAGtunTBn/Pno1mTJjh2+DC+fPgAIS4OQlwcPgQGolP79tixezdWrF6NwKAgtEulLjhv1ixER0ejfZcuXHhEhzja2qJny5bY+ewZotT44dGTJ/CpUQNPnz/HzBkz8OTxY8TGxEBISkJCfDyCk3cAHz68HStWTEfx4j5wd1fusHV0dMLQoeOwefNa7NnDhUd0SceOA2BiYoZt2zarDTt9+mT07dsDRYsWx44dO/HpUwiSkgQkJQn4/PkLZs+ejYcPH2D79i04efI42rX7JjY4YMAAFChQAB07dcLHHzw/jZN19PT0MK5zZ1x6/RrP1Pjha2goKjZqhP3HjmHIwIG4dvkyIr58gRAXh6TYWAS9fg2vggXx199/48+FC2FjbY261asDAORyORbOm4fr169j3PjxGabD0S51vL1RrkABbNy7V+3cbdeePajTqBEMDQ2xdvVqvA8MTHk+iwwLw9lTp/D161fs2bcPa9atQ8f27VOOOalVsyaaN2uGoaNG4c7d3HvkwU+9YOfomBcVKzbFgDFjcC+DgygfPHiAbdu2YOXKNVi+fDnq1KmTZreVjY0NZDIZjh0+jJLe3mjo54dKFSumXDc3N8c/f/+NS5cvY/LUzO384GiHVq26IS4uDj17tkZiIvEpE4AlSxZALpfjwoWrGDx4CAoVKpTS+PX09GBvbw9bW0f89ddRAMAff0xLs9W2a9fuaN68Ff74oxeePn2i3ZvikOjr66N37z+wZPNm7M7gzV1cXBwm/vknBvz+O3Zu2oQWzZvD3PzbOWjm5uYwNjbGiAED0LZ5c+RxcUHvrl1TrkulUmxYuxbR0dHo0asXP/dIh1So0Bg2Nu5Ytuw3REXRu6d37NiGBw/u48SJC5g0aRJ8fHxS2rBEIoGjoyP09PQQHPwVEokEgwYNg02qb50qVKiIsWMnYNGiBTh4MOOXPhzt0r9LF5x7+hST9+/PMNyEKVNQrWpVnDl+HP7+/nB0dEy5ZmRkBEtLS9SsXh2Tx41DYmIiZn43Xk+ZMhP58hWAv387RP3AAfgczeDqWgilS9dDnxEj8PjZMzLc9Vu3sPvAAWxauRKLFyxArZo108zdbG1toa+vj8tnzsCrUCG0aNYMZZLV6wDl3G7TunU4ffYsZs2dq9V74mRMz5YtER4fjw5HjyIpg/F1zuLFMDczw5UTJzBw4EAUSHWWrZ6eHuzs7ODklAfLlu0BAAwZ8mea8yu7deuDBg2aon9/f7x580pbt8NRg4GBIdq0+R0LFszBkSOHyHCRkZGYNWsahg4diY0bt+G3336Dqem34zksLCxgZGSECRMmo2nT31CggCc6deqScl1PTw+bNm7E58+f0advXz530yHNfX3hZGaGpuvWISKDcwU37diBF69f49KBAxg/dixKlyqVbu4mk8nw/t49AMCo/v1hnuqYnho1amD40KGYPmMGjh//MeFJjmYY0KABjl24gFmrVmUYbvzUqahfpw5OHj6MLp07w97+26fyxsbGMDc3RwM/P4wZOVL5ReTkyWl+P3/WLLi6uKBd58659szKn3rBDgBGjNiEfO7uaNalC/lp7OXLF6Gnp4fmzVsyr6vQ09ODXC6HCeM8l8aNGmH8mDH4c9YsvHz5UiN554jH3T0/1qzZiVOnjmDOnIlkuMuXL6JWrbqwtrbOMD5LS+XZI8bGac/vMjAwwIoVa+Hk5IxhwwZmNducLDBq1Hg0r1MHnUaMwMPnz5lhbt+9i+joaLRlnYn0HaYmJlAYG6c9CwGAt7c3Vq1YgYOHDmG/ml27HO1hYGCEQYOOIiwsGGvXdiI/e7h8+SKKFSsBL68izOsq5HI5ZDJZun5dIpFg3LgJqF/fD/369eafV+iQZvXqYXKTJpi4bx8OEJ+/R0dH4+atW2jVvHmKihyFjbU1pFJpmsUdQLkDZ/36rQgIeItFi/gCji4ZMWIbnBwc0KxLF4QTBwRd/O8/GBgYoFnDhszrKvT19aEvk8GEcT5ai99+w4ghQzBx6lQEBQVpJO8c8Xjlz4+t9eph9/PnmHGN3uF68coV+NWpAws15zFZWyvPADI2TtuvGxkZYdmyv2FhYYWxY4dkOd+cH2fgwOmoV68B/P3b4/lz9sL8zZvXER8fj5Yt2zKvq5BIJFAoTKBQKNIs0AJA2bJlsXzZMuzYsYMv4OgQU2NjHO3VC6+/fEG3bdvIxdOL166hTIkS8MyXL8P4jJPn6d/36xKJBH9On44a1aujV58+fJFWh7StXBmje/fG6HnzcOzCBWaY0NBQ3H/wAK1btEhzfjALa2tryGSyNMeWAYCrqyu2/P03njx9ikXffU6bW8j2BTtNNywjIwV2rVuHkC9f0K5373SfPQiCgKtXr8DBwSGNIh2Ld+/e4crVq6jLELEAgG7JO3Jq1K2LcHUHe3MAaN7fAFC9el2MGjUN8+dPxf79O9Jd//z5M54/fwYPj4wHAwA4dWovTEzMULx4uXTXFAoF2rXrhKNHD2PWrOkayXtuQNM+l0gkWDd9OvI4OaFZv34I+ZL+MOT/kh8AVErCFElJSThw9CjqJG+v/55GjRrByckJbdu3x6PH4pWPciPaaOP29gXQo8dm3L69H/v2TUx3PT4+Hrdu3chUGz9+/Cji4uJQq1b6fl0ikaB7914IDAxE+/ZtNJDz3IE2fD6mQQM08fZG+9Wr8YCxsHL9xg0kJSUhH6Xyk4p9Bw+iauXKac7FUeHpWRBVq1bH1KnjceTIQY3kPTegaZ8bG5th9/r1CAgKQqe+fdOdJSkIAq7euAFXZ+c0Z5ixePX6Ne7cvYu636lBq+jhrzyrslqdOoiOFinwkkvRRhtv7OGB8T4+GHvpEva/eJHu+oePH/HqzRvkc3dXG9eJE/tgYWGNIkXSKxGZmpqiZcv2OHBgF5YunaeJrOcKNO1zqVSKNWs2wsbGFm3aNMNXhsrHtWtXIJFI4O6e8dwtISEBR44cRK1adZnXW7ZsCUtLSzRv0QIvGHWLkx5ttHEvBwdsaNsW22/dwowTJ9Jdj42Nxe379zPVxg8eO4akpCTUqVYt3TWpVIpePXvixYsX8O/eXQM5zx1ow+eTBwxA7UqV0GbQIDxlCE9dvX4dADI1d9u7fz9q1qjBfClbrGhRVK5YEcNHj8ZxRt361RGnEhsVBejp0RJKBNFy5adp//yzEZcuXcDixSsA0MI2lHIOJWzzAj4YNnwbxo9viDL122HEiE1o3hx48+YNhg8fhD17duHPP2crVVuoA8YTEuDk5gYAqF+z5rdwqXZdONnYYPeWLWjSujVOnz2LRg0aZHjfaSB2b8iS2Fs7bWzEKdVQZfbgAduumv+q3VkaFwfIZGw5LUrVKvleI6OjMWndOni5u6OLnx8tm0Nk0sqrApmtYcNG4vHjO+jduw2Cgqbjjz+GQl+Iw8FDh9Cnf39IpVJ069QOBtJ4IIGdbkLCQyxfPhG1a9dGqVLfyjt1NocPH4q7d29i5cqlGD9qaLo3ewBgZ8dW36JulxJhZIl9WliwVacUlKofodKXouhEKdup0NdX/jk4sK9TKrTJnLl7F2uOHsXc7t1ha25OK0gSfYgigb1L9rFJacxdfBDt2lVC6TadMG/eVhQpUgp24UGYMmMGFixZgvZt2sBWlW+i8Bt39kfQu3eoXr8ZIuVKFTnFd8qgx44cQZly5fDvzp0YN3p0+kioh0fCJ4I+u35IEoizfCgfUWVJ7TZSlYG6AdrEBDAxgWUU+wD44Dj2i47Hr5Rt5q+//oQgJKF37zEA2MK9VJFRYsQuLoCLSwOEh0/HunWjkJj4Hr16LYCenhGuXbuKPn164f79u5g7dz709YHEJHY7CQoKRcuWTQEAzs6FUvrP1NW4Xr1GGDp0FObM+RMfAmanUYZWdwPx+ukXhAAgSaQ42/uv7HioTSYmZozwZsr6nKiujd+9q1Smotqymt1rj969w/JTp9CyTBlU9vSk4xGprCv18sLfM2eicp8+qDJnDtaNHo3GlSsj+ssXrNqwASMnTUKJokXh6+OjLEiija9dsQJHjh3DzLFj07SlCHwrs9mz1+DlyxpYt24t/PzY47gRK35q7kM5lppvUErTlJ3yqWowUbcIZWKiVBOkzuClJhZPlMdBrD1xAjdfvcLibt2UdqqOEA9hNWqwg9+5UxHjJ/yDkSN/Q8UmnTBhwt+oVcsWL1++xJAh/XHo0AEsWLAEsYbmMJASR2B8/oy8yaqE9cqU+TaQpqqX7nZ22Lp6Ndp0744LFy+iFvHChgnVCMWqy4lVnaPUv1X1kqpzyURGKquTAat9EvXpuaFyt3J4eCiWLp2KwoW90aRJe+SLI86koibxlPyqvz8mdOmCu0OHovmRI5g1cCAGtG+PJIkEew8cQN9kVcD27doB+voQwO7XP3+4gJUrZ6BZkyYonF8AoBxLQ8K+jbUDB47B3bu3sXbtMvTqNZgZD9XcxG7EZOnRUe6uXJmKhVALVPWj6sbxmBhALoeQSh03zWU1JwCcOnUcmzdvwNy5S2Bubg5yewNRLwsVYqvBBgRYYPny3WjRogqqVq2IpUu3onDh4jAwCMHkyROxdOkSdOvWHdbWyq9cJEnsdl6/fk2EhITAz6/+tyaTqo+WADh94gTKlCuHXXv2YOhQhvAIMWbEJrHnaGEixVepJkvVM2o4UU1j1e4LMTBQjuXUQgg1biRnaMrevTDQ18cI1bMsqy8SqxTeqhV+a9UKEywtMXr+fATZ2WH22LEwMDDApStX0GvQIDx9+RKrlyxRxk3E8yk4GG179YJcLoe7k9O3sTTVWNWibl0M6tMHC5Yvx4J589Icg5OCGLlWABKw7cYW7K+1qGGA6hpZyarqQaYFQ6k5lxql3DuvXmHV0aPoVL06yhYoQIennv+IsVCvQAH8s3MnKlapgkrt22PD2rWoX78+oj59wrLVqzF2yhT4lC6NCqVLK/1IjHlLFi7EmbNnsXDmzLTjW6pC3rh2LarWqoX1GzeiVpUq7HyyyocqM7Eyv5STqPipNqiq9yI2f2XrDruAgLcICgrUStxlytTBzJknEBT0DN26FULx4oXg6emG8+fP4p9//sWgQRmrRoWm+pyW+cCWTCM/P1haWuIssfWT8w2JRIKT16/D2IC9+JjVuP/6ayP++GMoJk4ciZIl88PO2RlNmjdHES8v3Ll+Ha6urhnGMWrUSADI8PMqIyMjtGrVGkFBQfytXSaIiInBxUePYKZmYe9HyJvXE1u3XoJCYYrWrcuhYcMisHNzw7KVKzF7+nRsUHOGAgAcPKgUr3Bzo9/menl5oZyPD86eP6+xvP/K3Lx5ESAerLJK69YjMWDAKpw8uQldu3ogX748qFSpHBISEnDhwn/w9a2W4e+PH8/4UHtAJXTRGQBw7uJFTWT7l0YqkWDfrVuwNTVVH1gkZgoFzixejMrFi6PJyJEo3L49bPLlw4CRI9GtQwdc+N//1H4O222w8uHcPYP+397eEdWr18O1a5e4kFQmePXxIz4QR45klSpVGmHBgiN48eIeWrXyRNGinihc2APXr1/Fjh170bt33wx//yHVk5E59QYAQMumTWFkZIQzmVQjzt1IcOHCcRgbZ/xVyo8glUqxbeZM9GvTBoPmzEH+Ro1g6+6O5u3bo0ypUrjz339wsGcv/qjoP2gQAKQ56+x7FAoFmjZthZcvn+P9e/4ptDrCwsJw48Y1tV8i/QgFCxbB7t0Xoa+vj4YNy6BGDS84Odlj7do1mD9/IZYv/0ttHOfOnQUA5M3gK4rixYujdKlSOMvbeKY4/+QJ9KnVxCwyYfBgLJ02Dau2bEHeihXh4uWFSnXrQl9PD9dOnUIFH58Mf/9v8rE0GY3PUqkUndq0gSAIuMCfydUilUiw/+pV2GYwTv4oVlZWOH/mDMqULg2/Ro3gVawYbPLmxfBx49C3Rw+cPnQo3TFE3/PHMKUAXN4Mdl86Ozujds2auHDpUrpd+b862bpgN3z4aOzcmfGh0lmhWLEqWLHiNtq2HY38+QtgxYo1ePDgOX77Tf25VqkrEmsXVepr/h07YvHy5bhPbV/jAACMDQ1xbc0atKpZUyvx6+vrY+LEGTh8+Bx8fWuioZ8fLpw5gyMHDqhdrAMANzd3AEDTps0yDFenTl04OzujT//+/KwENTQoWxbPVq2CgYz9xjKruLnlx9atFzF69EK4uRXA1AkT8PLBAwwZMEDt2QipcXYmdocm083fH8dPnsSuPXuymONfnxUr9qN3b8ZORA1Rv353LFlyEzVqdEDp0mWxZ88BXLlyA6VKlVb7WzMz5RvXGjXYn9GoyJ+/ACpWrIxho0fz4w7U4OnggJezZqFgKsEHTWJpZoY9f/6J7ZMno3i+fOjTrRseX7uGxbNni3qYLFKwYIbXW7ToiJCQj5g5c1pWs/zLM7lNG2wbzN6lpAnKlq2JTZvuoEOH4fD0LIjVqzfg/v1naNiwsdrfZrbfl0ql6NquHeYtWYKnGQhdcABTUzPs338TtWs31Ur8MpkM84YOxZk1a1CtTBk0bdgQl0+dwr7t2+GUiX5F9WlVnVq1MgxXu3YD2NraYfjw3/ncTQ1NmvyGGzceqn0h8qPkz18I+/Zdwdixc5E3bwFMnz4Dz569xB9/9Ff7IJ8aB2r3TzL+Xbti//79OHSIFrrgKDk6bBiG1K+vlbglEgn6dO6MG4cPo22TJihfpgyO7NyJq6dOoXjRomp/b22p3CnapkmTDMMVK1IEZUuVwuBhw/hxB2oo6uaGV6tWwV3NC5EfxcbGBgf27cM/mzahiJcX+vfujac3b2Lu9OnM40koCqu+CCPo0rEj3rx9i9kLF2Y1yz8V2umZdYiZmTXath2NqlXF/c7U1BTubm6oR5yBkpqp48fj0NGj6NG3Ly6eOvWDOeVoivLlK6F8+UowNyY+MSRo2bIlVq78C1XVVBYLCwusXLkGDRrUw8ZNm9CpY8cMw3O0i1xugHbt+qBduz4omEfcAN2kSXO8ffsaxmp2ALZv1w47d+5Er379UKdWLaYQDSf7cHUtiB495pCf1lGULFkWANC6decMw0mlUqxcuR7lypXAhKlTMW/mzB/NKkcDSCQStKxRAy1r1AAyMblPzZQRIzBp7lx4qVmwK168FAYOHItZs6agRYvWKFzYKytZ5mQRS0tb+PuPg7e3uN9ZW1rCzsYG7Ztl/OINAGZNnIj/nTqFXv374yR/oNc5VUuXRtXSpYH8+UX9rl2bNtiybRsqV6qUYThraxvMnbsSnTo1xb59/6JJk1ZZyS4nixgaGqJr1z/QtesfzKMzMqJ+fT9ERERApuZlcPdu3bBrzx5079EDL54/T3d4PSd78fL0xLwJE+gjMggqlikDQP2CnZ6eHv5esQIlq1bF1GnTMO07ZXhO9iKVStG2TRu0bdOG/tyUYMzQoVj011/Ir0aMpHy5chg+eDAmTJ+Olk2bqg3/q/DTq8RqkhLFiuEldQZYKgwNDTF62DBc+u8/XL9xQ/sZ42iFIkWU57U8fPhQbdi6deuiUsWKWLxsGX9T+xPj5VUUAQFv1YaTSCSYPH48Pn36hG3//psNOeNoA2trG9jZ2ePZM/UCIh4e+dClQwes37SJ77L7iSlaqBASEhIQ/JE4dysVffsOh6GhIVatWp4NOeNoi5JFiuDFmzdqwykUCowcPBinzp7Fvfv3syFnHG1QxEu5uP7w0SO1Yf38mqB48VJYvXqxtrPF0SJFihTFmzev1YaTSCSYPGkS3r17h127dmVDzjjawNnREWampniUid3QhTw90a5tW6xeuxZRIheJODmHIoULIzw8nClO8z2jhg9Xvmhfv17r+cop8AW7VLi7ueEN6/RYBm1btYJH3rxYuXatlnPF0Rb29vYwMDDAm0xM9AFg7KhRuH7jBm7cvKnlnHG0hZubOz58CEasWrUVpSJRk0aNsH7jRn7O1U+Mq6s7AgMz18ZHDhmCsLAw7OSfQv+0qM6uy8xYbmRkhAEDhmL37h34TJ0YzsnxuLu64k1g5s5H7ty+PVycnbF6wwYt54qjLfLkyQOJRII3b9W/fAOAwYPH4erVi3jw4K6Wc8bRFu7u7ggICEASdRh8KsqWLYs6depgzdq1ue6cq18FiUQiql8fPXIkPnz4gP3JZ99xfj7c8+QBALzNhM/NzMww4PffsXXnzjQaBL8y4j6JdXYGzMwQHkeICBD96CdCwVTsQjj1FRvrWZo6Xq5oUfZ26svXZIiOd0Zg0Aecu/btW+sqduydGXoeHujcsSMmTJ6MqVOmwNbWVnkhAxVaJoTEDLU+kImxKg3Fi7Ptd+5knE6aBJOS2OpvVGaoSKlVc0Ktx/zTc6Zd8CC2v0aIU+p7+sEA1tb2ePgwWCWGBwAo6MH+tLaunx/s7OwwY84c/Lt9e4o9hhCBoY4Coc77tDZLn250Aru+xiawz+0xoGSnVL5SV4HkcuUflXlqWzsVnvocgSiEd1EMlacMor/9hH0uQnK/n46AAOXZDTt3foCNjfLBvlk1woGGhujbsyfqNGqEc+fOoaZKWZC4p8gYtk8UlLoh1U6oMsvEW6c0qMRz1OwWi4ySQE9fAqmUfT4Y1e9Sx86wfGVqzC6Dcl7sQeDtV/Zh4tTaOpWX7duBqCh7XL8ejNWrv9n792eHd3F3R43q1TFt9mx06do1xR4exfYtVTaUgCOlKOaWh9i1S0QUHpW+3qvKQI14JCCR0AUG0PWSGsOoeknVY+pbKCp+1WD1PUTh2yeLxQTv3Amk2oFj368fM/zgwf0xffokbNmyDkOGDPl2Qcro6yg1VcqxlDOoQYCSEKcmS6oyU/dQqlITpAS1qN9raLeCUVQI017OhVE+74m8UGOPXA57e3t8CAlJ6wdyTDJFm7YdMHfuLIyb/CfMkn0hE6vQS9V7yq62YX4HVUdU8ajZ6a9q5o8D0vfrBfOw22C+OOLB5w1RL6kyo3xFhSfKTEL0RXqrV8PG2Bgf9u5N0yathg5jhu/QoTEGDDDF6tWz8PffG1PsVPWm1u7FNH9qqkVVJxMn9pgnyeyk//NnIC4OEqKMFWIeoADR9VhC9IGuDuy6EBnDntsmEHNbx6gIJCYmIvTsKdio1Cq9iGMMpFL83r07mrVqhSsXLqBihQpKO9EnGMjZbcnKin2eOaUASh29RXXrVH1yST5iOYPj1JW4uQEKBd2uqD6Hap+sykk1ErH1hhojKeRy2NvZIfjz5zS/jTdmPyPkczNElUqVMG36dLT+7bdvFzT0LKMH9hw2hqiv1PSHlayqKOPVneqkeh4Xqz5PVTSqbKh6Q9lTP0CnhppvEB2s/V3lC5XgvXtR7Hmq53/iLJyBgwZh1oIF2Lx7N/r07v3tAut+xc5xxHbg1Hitbm4oYlGH77BLhaWlPcLCPiMhIXNnoVWvVg0A+Jv5nxhra3uEhARnKqxEIkGNGjXwiRqtOTkec3Plgt3Xr5nzebmyyjPQPoWwHzg5OR9TU3tERGTO3wBQq0YNhHB//7TYJAtTBGfys2YrKyvkzZuX+/wnxs7GBh8+fcr0cRXVq9eAIAiZ+vSGkzOxNzXNdBuXSqWowfv1nxp7KysAQHAmfVixfHkAfO72M2Nva5upoy1U1KpRg/v7J8Y+edErOJM75hwdHeHg4JBrnsn5gl0qrKxUD/OZ6yBUn8mJUafk5CyUC3bEFlAG8fHx3N8/MRYWyjYeGpo5n8cnv/LSlnIaR/uYmNgjIoK38dyCTE8P1goFPlBvlRlwn//c2NvZIT4+Hl8yuQCn6te5z39e7E1MEMzbeK7B3toaAJQ7rjIBfz77+bG3tcUHEQt2cXFx0BOhOMzJWSgMDaEwMMAHahcbg9zUr/OanQpbW+U+5Ldvie2d33H5v/9gYmKCPNT3d5wcj729M169epKpN/OCIODy5csomixWwfn5MDe3g56ePoKCMtfGL/33HwDlYaicnxMzM2eEh79DDPXt+ndc+u+/lEPNOT8nLubmeJLJif7bt28REBCQIkLE+flwcXQEADx98SJT4S9fvgRLS0s4ODhoM1scLeJibo6nmdxZkZiYiCtXrsDLi7fxnxVHGxtIJBI8zeSZ05evXAEAFOVj+U+Li5MT3gYFITo6OlPhL1+5wp/PfnJcrKzwhPqG/DuePXuGkJCQXONzvmCXCg+PYrCzc8XJk9vUhk1KSsLmLVvQoH59yMV+m8/JMVSr1hAvXz7G48fEOUmpOH36NAICAtC0aVPtZ4yjFfT1ZfD2rouLF7erDwxg45YtKOjpiYLU4SScHE+hQn5ISkrA/ft71IZ9//49jh47hqaNG2s/Yxyt0dDLC3vu3kVsJg4c37RpEwwMDFCvXr1syBlHG5Tx9oadjQ22ZUIsJiEhAdu3b0GjRk1yzZv5X5GGhQvjVlBQphbmjx49ig8fPqBZs2bZkDOONlAYGaFG2bLYduxYpsJv/OcfeJcoATc3Ny3njKMtGtapg+joaOz/3//Uhn379i1Onz2Lpo0aZUPOONqiYcmS2Hn1KhISibO/U7Fx82YoFArUqlkzG3Kme8R955WQACQkQF+fLTpBzY2psx2prxeoeKiz+YoWTW+j1tAyPjdbivLlm+PChZ3w9xcgkUgAH/d0YWNiYtC/Vy88evwYaxcvTntoIZVJ4pO6yAR2WZqbsCvrBzl7gkmdd0gpYqt2nKoVnTA1FS80QEEVPnUIOVGWkju32eFVJ7VmkoLuscjb3hfDh5vi/u29aFKvUHI+06d79949+HfrAW/v0ihW3Bdfvn47DVZsMajOy/2eRKQ/hNdIylYzTSTaoGDGPpBVdb5ltFzNKbZGRsrD3KnPDqgypgqBqmBEeEcT9pk0ggP7QGaxRxcULw60atUCI0f6w8XlE6ysbBBrbJk+PUHA/PnzsX3nTixc+BciEr8d2Ey5W2FIDDDUQa1iRVsoO/UJgMqu5hMB1TFA1GYTKvuidHSILe7xJunLHqDPqqWKjBIErVoVAPJg//5yCAk5gKpVOwFgjz0fPrxH797tYWJiivoN/RH8+Vt7pNqsnpS9M9dUTviKGpiIg2/j5WwhkASGT4KClP+q/UrM0FD5J1YgiapHVHjqkHPqkF9KMIfaNUU5pUwZtDA3x7Tjx3FRLkf1UqWUdsbOjP0nTmDa1Cnwb90allGRQFTkt4usykZVQMpOlY1Y1Wl1CkbqBqHwcGVeKB+KnLeQ90W9GafGE1YdoeLw8GDb792DPoBmJUrg4L59mOfrq7TXqZMuaFRUFH4f2h2vXr3CjlWrIEt9/An1GY7Yw9XF+pZqJ1SHrGrgagRBPn1S9t0fGKcBhIWxxZrc3dl2Y49iTLsif3524tQuKKpzUnVe30Od3P7bb2jg5wfDf//FQZkMnsmHzEuC0qsL3rx3D7179UTF8uVRrmgRSFK1cTcHdv12cGDPr6j5BqvqULcq9jx3I1UbVNfGVQlSbZkae6j6R6VH9dNU/IRvFdS8n4gmxL006rXsipEj++GVdQGYmprBOiH9fDEpKQmT5y/FvgMHsGrV32mesaQiu2+xdqpJii1K1XNbZCT7egoqMSGqLKn2I0aAhLrZV6/YdqoeiH1QsrJCfisrlChRAgfPnkUrf38AgCwp/Tw7ICAALdu0gY21Ndo1bJi28akT7/ke4nk3Eexnb7GaHCz9RlX/kckjOWnEikSJnetR/bTYz5CpOZ2NDVrUro25hw7hakgIKqh2xzJ8snPvXsycMwd9e/WCwsAg7b2wfEs5RGyZUfWGeghRJyoRy37GZ8F32H1HmTIN8OnTWzx6dCndtejoaOzYtQtlK1XC31u3YtXChSiffCg95+dELpejTq1a2Prvv8zPYl+9fo2JU6eibJUqMDIyxvr1OyDlZyT81FStWg9SqRSHDqXfZZeYmIiTJ0+gYcO6GD16CPr3H4ouXXroIJccTVKxYkNcunQIkZHpn6xCQj5h/fplqFmzOJ4/f4ING/bBwoK9kMj5OSiRPz9cbG2x9cSJdNcEQcCNe/fgP3IkGvfqhVpVqmDOuHE6yCVHkzQsWRJP3r3DTcaDZFRUFLbt3o3SNWvi3/37sWHxYpQsxl6E4vwcGBkaombFith68CDz+vNXrzB21iyUa9QINtbW2LZhg/IlPOenpVat+khKSsL+/TvTXUtISMDREydQs1EjTJ48FsOHj0WbNh10kEuOJmng54d9+/YhirGw8uHDByxavBglSpVCQFAQ9m3aBFNT9st9zs9BGU9P2JqbY+uZM+muCYKAq9evo2OPHmjRsSMa+flh+qRJOsilbuArD99RvHgNODkVwJIl3fHo0WXExMTg1u3b6NmnD+xcXdGyXTuYmZri6smT6Napk66zy9EAvbt3x9179zB4+HC8e/cOX79+xbYdO1CpRg3kLVwYs+bPR7/evXHixFXkyeOu6+xysoitrQNq1WqKhQvH48SJ/YiKisLz588xfvwYeHg4w8+vFl6/foUdOw5h6tTZfJL/C9CwYVfEx8dh4sT2ePv2KaKiInHu3Al06dIEJUs6YuzYP1CpUg2cPHkHPj6VdJ1dThaRSCTo1bgx1h0+jBV79yI0IgLvPnzAgnXrUKhOHZRu2hQHT53C8smTsWfNGhgbsXcWcX4e6pUoATcbG3RZsQLXXrxATEwMrt+6Bf/+/WFXuDDa9OgBOxsbXD92DB1attR1djkaoHfbtrhy+zZGzpqF4E+f8PnLF2zetQvlGzVC/sqVMX/VKgzt1QuXTp6Ei7OzrrPLySKurm6oVcsPU6eOwvHjhxEdHY0nT59ixPjxcPL0RN1mzRD84QP27TuG8eOn8LnbL0D37t0RHh6Ojp064cWLF4iIiMD//vc/NGjUCI4uLhg8dCj86tfH7TNn4KPaTc/5adHX00OP+vXx16FDWHPkCMKjohAYFIQ5ixahgLc3fKpXx/HTp7Fm6VJsTz7OJLfApQ+/QyqVYuzYfZg6tTGGD6+A4cOVdkdHRwwZMABtW7dWnmdFbYvk/HTUqlkTi+bNw6Bhw7Bg8eIUe3VfX2xetw6N/PxgamqKLzHE9nLOT8fUqX/hjz9aolevxujVS2kzMTFBx45d0K5dR5QpUxbx8Xyy96tga+uMmTP3Yvz4Nmjd+tt5hIUKFcWkSQvQsGEL2Nrai97Zz8m5DG/XDq/ev8fvc+fi97lzASjVnlvWr49F48ahZsWKSvVn/lD3S6Cvp4cDw4ah8Zw5KDt2LDB2LADA2dERI/74A21/+w35PTzUf6LC+WloUL06Zo0YgZGzZ2PmypUp9tpVq2LrsmVoWKsWFMbGyk8HOb8EixatRZcuv6FNG78Um5mZGfw7dECH1q1RytsbUXrEZ5Ccn468efNi544d6NCxI3bt2pVi9/b2xpJFi9CieXPY2trSRxRwfjrGtWuHtx8/ovuCBei+YAEAQCaToU3z5lixYAGqVamSK+dufMGOgYtLISxZch9PnvwHO8sHcMuTB5UrVeLiEr8wf/Tpg9YtWuD02bMQkpJQvGhRFC5USNfZ4mgJS0tr/P33cTx6dAfv3t2Eg4MDypevCHNz9hmAnJ+fChXqY8+eANy6dRYGBp+RL19BeHuX5W/hf1HkMhlWjxiBUR064MLduzB3dUXZ4sXhZG+v66xxtERRV1c8mjsXl58+xXNbW+TNkweVypWDTJb+fFjOz49EIsGwHj3QsWlTnP7vP0gNDOBdpAg8qfMOOT89trZ22L//LO7evYVXjy7DycEBlcqX559C/sI0adIEgQEBOHPmDEK/fkXhQoVQqlQpPnf7RTGUy/H3sGEY27YtLj18CMuyZeFTujQccvncjS/YEejry+DlVRmN6vAz6nILdnZ2aNWiBX8Dn0uQSqXw8vJGnTreus4KJ5tQKExRqVID5sG/nF+TfM7OyOfsTB/MzfmlkOvro2rhwqjKEJ3g/Jo42NqiTcOG9CH7nF8KqVSKEiVKoUbZArrOCiebMDMzQ6NGjfjzWS7C08UFni4uQMWKus5KjkDcgp2+PqCvDyN9thpiNKGiQrUvav5MCYrlycO2s+KndsdSm+SKF2fbP4axt9KbmbHtVPyUWislUOLkxC5LSuiEEv2hRLysrJT/RkcDq1ezwwBQ3pBcLk4FhlLvo2SzqApCOZHKC6VMRklOUqpFRD4tKbVchqosALIyCFK28qME6UUvXgax6xk1L6WK3shQGXd8HFvVMk3Eqj8WlEoQlTDlK5FKOxLCV7aUAhQhNWbhkXkxAQOin6OUlUIj2L4yNmb7W6ZP+ILqAKn6SrUfVTxqZEMdbBNhZpYIhLHDfY5g7zp0dmCXD0tN62MCu9w/PGHnSdU/fQ9VBJSgIrXRgioyWVgI+wLYbV8A2+cxSWx7GEOxEQBMTNh15CsRnjUOqJpsfDz7Nyk4OioHDKp/paQQxapfUoObWIVRyulixwexEn6sSkj1W2LVVzWlHJ1ZVOO42DKjJjRi74uys/omKi+Ushw1Bpw9y7ZTYxU1idL2AyI1P6F8rpo4q+nXpVLlH6saU1MZW2NClpKoB+8+sc9+dKQmnpQPnxADQdGibDul6MuSxM0oPOFzAxcXpj0ujj0vZ0E1HSqLVPUzsjNUJZ5xgqGhyr5VUyrfVDuhypKqj2LnkkR4a1b+P7HTVJgQ/Q3lFKJBfAlj+5vqRsUKplPxqNRj1a4/Fyqk7P+Isgw3Zu9IMo0RIUeqrh/6Hmr+QN0s8fb0y1f27jlLort/G2XNtOsT2ZdK2fPaKGL6TQ0zVLOiwrOmG9YWyrl0WBjxzKHC1hZQKOh6TM2hqIpJ2amKR43j1LM3FT8FNdZSCyhi8ilWJZuaL1LhxX6Bqcq7XubHFH5iD4fD4XA4HA6Hw+FwOBwOh5ODELXDLkz1ZoV4Ix1NvH0KF7GYD9AvaqiFSNaibCTxopBakKXymKhmwft7qEVW6p6oRVwqP1Q81MI3FX90tOpf4m1ZMmGqghSzw45aJaecQoUX+6aQslMKgJrKJ2WndtglsCsVa4ddeDj7LRO1i4YqAtXOujDq7WgyYVSFUZcAdUYQFZ6qyJTPqV0w1BkWRH4EaebfZkiSxO2wC4th76qiboncYUc1fioigYgnuYzDqPqcTEqdIHwSHsku4zDjzO+wE9ufUdWJqgbUS2CqyMgddlRGiR8IcmKHHdEfi4yeDM+6X1UcERGZbONUW6cyL7YwqQGbGlSpwZNyLhUPdV9UfqhKxcpPbCw7rKZ22FFlTN1TcvxhqgGdIOU6VZZU/qkypu5L7I5qll2s8gvVWVBlRoWn+lGx4z5VxlTdoeqlmh1V6vp1VT/Aioa61TC5uB124eHsslQYEvVG2xNhqkyoNk7Vb2KeFB7O9hXLtZT7qKZK3aqqLLU2d6PsVL2kMkpOPonJKlVAYia3VD2gKjjV9om2HEbssBM7faWqGVUXVPGoHctVdYLwSbic/XsBIh7K1W7Z/w6xkzqiXoeFseedemAXJtU2qaYvdiO+2OPyxMxh4+WZbOOq/o1qO2K/ahA7p1Mzz0gH1R+LnUeJbXBidtiJbZxUhRJ7Tm5yuwoTsUAmEQSqZ/tGbGwsDPnZEL8sDg4OePnyZRofc5//unB/5z64z3MX3N+5D+7z3Af3ee6C+zv3wX2eu+D+zn2wfM4iUwt2gLLCxFKropyfGrlczqwo3Oe/JtzfuQ/u89wF93fug/s898F9nrvg/s59cJ/nLri/cx+Uz78n0wt2HA6Hw+FwOBwOh8PhcDgcDkf7cNEJDofD4XA4HA6Hw+FwOBwOJwfBF+w4HA6Hw+FwOBwOh8PhcDicHARfsONwOBwOh8PhcDgcDofD4XByEHzBjsPhcDgcDofD4XA4HA6Hw8lB8AU7DofD4XA4HA6Hw+FwOBwOJwfBF+w4HA6Hw+FwOBwOh8PhcDicHARfsONwOBwOh8PhcDgcDofD4XByEHzBjsPhcDgcDofD4XA4HA6Hw8lB8AU7DofD4XA4HA6Hw+FwOBwOJwfBF+w4HA6Hw+FwOBwOh8PhcDicHIRWF+zWr18PiUQCiUSC06dPp7suCALy588PiUSCatWqaTMrJF26dIGJiYlO0laxa9cutG3bFvnz54eRkRHc3d3Rvn17PH36NF3YAwcOoFOnTihWrBhkMhkkEokOcsyG+ztzZNbfYWFhmDZtGqpVqwYHBweYmJigWLFimDlzJmJiYnSU+7Rwn2cOMW18zJgxKFmyJKysrGBoaAgPDw/07NkTr1+/1kHO08N9njnE+Dw10dHR8PT0hEQiwZw5c7IptzTc35lDjL+rVauWUqap/+rVq6eDnKeH+zxziG3jkZGRGD9+PDw9PWFgYABra2tUr15dbZ+gbbi/M0dm/f3q1Stm+85J7Zz7PHOIaeOxsbGYPXs2ihYtCoVCAXt7e9SvXx8XL17UQc7Tw32eOcT4PC4uDuPHj0fevHkhl8vh5uaGUaNGITo6Wgc5Twv3d+Y4fvw4ateuDScnJxgYGMDOzg41atTAoUOHyPAVKlSAsbExbGxs0KVLF3z48EHr+cyWHXampqZYs2ZNOvuZM2fw/PlzmJqaZkc2ciwzZ85EVFQUxowZgyNHjmDq1Km4efMmSpUqhfv376cJu3v3bly+fBleXl4oUaKEjnKcMdzfGZNZf7958wYLFixAqVKlsHLlSuzbtw8tWrTAxIkT0bBhQwiCoMO7SAv3ecaIaeNfv35F27ZtsWHDBhw5cgRDhw7FgQMHUK5cOYSEhOjoDtLDfZ4xYnyemnHjxiEyMjIbc5o5uL8zRqy/PTw8cOnSpTR/CxYsyP6MZwD3ecaI8XlERASqVauGNWvW4I8//sDRo0exbt06lCtXDlFRUTq6g7Rwf2dMZv3t6OiYrm1funQJI0aMAAA0a9ZMV7eQDu7zjBHTxnv06IGRI0eiadOm2L9/P5YuXYqPHz/C19cXV65c0dEdpIf7PGPE+Lxt27aYPXs2evbsiUOHDqF79+6YN28eWrduraPcp4f7O2NCQkJQpEgRzJ8/H0ePHsVff/0FmUyGBg0aYNOmTWnCnjlzBvXr14e9vT327t2LhQsX4vjx46hZsyZiY2O1m1FBi6xbt04AIHTv3l0wMjISQkND01zv0KGDUKFCBaFIkSKCr6+vNrNC0rlzZ0GhUGg9ncjISPJacHBwOltgYKAgk8mEbt26pbEnJiam/Hffvn0FLbtQFNzf39CEvyMiIoSIiIh0YWfPni0AEM6dO6eZzGYB7vNvaKqNszh06JAAQFizZk2W8qgJuM+/oWmf//fff4JcLhf+/fdfAYAwe/ZsjeX1R+H+/oam/O3r6ysUKVJE4/nTFNzn39CUzwcMGCAoFArh+fPnGs9jVuH+/oY2x/Fq1aoJxsbG6cpXF3Cff0MTPo+JiRH09PSEDh06pAkbFBQkABD69++vuQz/INzn39CEzy9duiQAEObOnZsm7PTp0wUAwtGjRzWX4R+A+/sbGfmbRVxcnODs7CxUqVIljb1s2bKCl5eXEB8fn2K7cOGCAEBYtmyZRvJKkS077Nq2bQsA2LJlS4otNDQUO3fuhL+/P/M3cXFxmDp1KgoVKgQDAwPY2tqia9eu+PjxY5pw7u7uaNiwIQ4cOICSJUvCyMgIhQsXxoEDBwAot4QWLlwYCoUCPj4+uHbtGjO9+/fvo2bNmlAoFLC1tUW/fv3SvfUUBAHLli2Dt7c3jIyMYGlpiRYtWuDFixdpwlWrVg1FixbF2bNnUbFiRRgbG5P3CQB2dnbpbE5OTnBxccHbt2/T2KXSnH/sIPe3ZvytUCigUCjShfXx8QGAdHVDl3Cfa66Ns7C1tQUA6Ovrqw2bXXCfa9bncXFx8Pf3R9++fVGmTBkyXl3B/a3dNp4T4T7XjM+joqKwevVqtGzZEh4eHmR8uob7W3tt/Pnz5zhz5gxatWoFMzOzDMNmJ9znmvG5VCqFVCqFubl5mrBmZmaQSqUwNDQk08huuM814/MLFy4AAPz8/NKEbdiwIQBg586dZBrZCfd3xv5mIZPJYGFhkeaZKzAwEFevXkXHjh3T2CtWrAhPT0/s3r1bVBqi0eZqoGp19+rVq0LHjh0FHx+flGvLly8XFAqFEBYWlm51NzExUahXr56gUCiESZMmCceOHRNWr14tODs7C15eXkJUVFRKWDc3N8HFxUUoWrSosGXLFuHQoUNCuXLlBJlMJowfP16oVKmSsGvXLmH37t2Cp6enYG9vn+b3nTt3FuRyuZAnTx5h2rRpwtGjR4WJEycK+vr6QsOGDdPcT48ePQSZTCYMGTJEOHLkiPDPP/8IhQoVEuzt7YX379+nhPP19RWsrKwEV1dXYfHixcKpU6eEM2fOiCq758+fC1KpVBg0aBAZJqfusOP+1o6/VUyYMEEAINy+fVtUGtqA+1x7Po+PjxeioqKEGzduCJUqVRI8PT2F8PBwUWloA+5z7fh8zJgxgru7uxARESG8fPkyx+2w4/7WnL99fX0FQ0NDwdLSUtDT0xM8PDyE0aNHp7knXcJ9rlmfnz17VgAgTJs2Tejdu7dgYWEhyGQyoXTp0sKBAwdExa8NuL+1P3cbPXq0AEA4f/68qPi1Bfe55n0+YMAAwcTERNi9e7cQGhoqvHz5Umjbtq1gaWkpPH36VFQa2oD7XLM+V+2ke/HiRZqwjx8/FgAIFSpUEJWGpuH+FufvxMREIT4+XggMDBTGjx8vyGSyNOPzkSNHBADCwYMH0/22RYsWgqOjo9o0skK2LdidOnVKACDcu3dPEATltsIuXboIgiCkqyxbtmwRAAg7d+5ME9/Vq1fTbTt0c3MTjIyMhICAgBTbrVu3BACCo6Njmm2Qe/bsEQAI+/btS7F17txZACAsXLgwTVrTpk1LM7hSW1/fvn0rGBkZCcOHD0+x+fr6CgCEEydOiCovFfHx8UK1atUEMzMz4c2bN2S4nLxgx/2deTLrb0EQhNu3bwtGRkZCs2bNfigtTcN9rh2fv3v3TgCQ8leuXDkhMDDwh9LSNNznmvf5zZs3BZlMJhw5ckQQBCHHLthxf2eejPw9ZswYYdmyZcLJkyeFgwcPCv369RP09fWFqlWrpjn2Qldwn2vW56pyMTMzEypVqiTs27dPOHDggFC9enVBIpGktHtdwf2t3blbQkKC4OzsLBQqVOiH0tEG3Oea93lSUpIwfvx4QSqVpszd8uTJI9y8efOH0tI03Oea9bkq/xs3bkwTfs2aNQIAwdPT84fS0xTc3+L8Xbdu3ZR2a2ZmJuzatSvN9c2bNwsAhEuXLqX7bc+ePQW5XC4qPbFk2/eVvr6+yJcvH9auXYu7d+/i6tWr5BbFAwcOwMLCAo0aNUJCQkLKn7e3NxwcHNKpnXh7e8PZ2Tnl/wsXLgxAuS3S2Ng4nZ2ltti+ffs0/9+uXTsAwKlTp1LyJJFI0KFDhzR5cnBwQIkSJdLlydLSEjVq1MhEyaRFEAR069YN586dw99//w1XV1fRceQEuL8zhxh/v3r1Cg0bNoSrqytWr14tOi1tw32eOTLjcxsbG1y9ehXnz5/HqlWr8PnzZ1SvXh3v3r0TnZ424T7PHBn5PCEhAf7+/mjdujXq1q0rOu7shPs7c6hr41OnTsXvv/+O6tWrw8/PD4sXL8aMGTNw9uxZ7N27V3R62oT7PHNk5POkpCQAgFwux+HDh9GoUSM0aNAABw4cgKOjI6ZMmSI6PW3B/Z05xMzdjhw5gsDAQHTr1k10OtkB93nmUOfzadOmYc6cOZg4cSJOnTqFvXv3omDBgqhduzZu3rwpOj1twn2eOTLyef369ZE/f36MGDECx44dw9evX3HkyBGMHj0aenp6OeoIK+5v9SxevBhXrlzB3r17UbduXbRu3TrNZ8QqJBIJ8/eUXVNk24FIEokEXbt2xaJFixATEwNPT09UqVKFGTY4OBhfv36FXC5nXv/06VOa/7eyskrz/6rfUfaYmJg0dn19fVhbW6exOTg4AECKKmNwcDAEQYC9vT0zT9+fS+Lo6MgMlxGCIKB79+7YtGkTNmzYgCZNmoiOI6fA/a0eMf5+/fo1qlevDn19fZw4cSLdveYEuM/Vk1mf6+vrp5xjVqlSJdSrVw958+bFjBkzsHDhQtHpagvuc/Wo8/mCBQvw4sULbN++HV+/fgUAhIWFpdzT169fYWpqCj09PdFpaxrub/X86DjeoUMHDB06FJcvX85RKpLc5+pR53NVHitWrJhGkc/Y2Bi+vr7Ys2eP6DS1Bfe3esS28TVr1kAmk6FTp06i08oOuM/Vo87nDx8+xPjx4zFr1iwMHTo0xV6/fn14eXlh8ODBKYsPOQHuc/Wo87nqBUzHjh1Rp04dAMqzx6dPn44pU6akWcTSNdzf6ilQoEDKfzdu3Bj169dH37590bp1a0il0pQ8qvKUms+fP2v9uTxbTzDv0qULxo8fjxUrVmDatGlkOBsbG1hbW+PIkSPM65qWIE5ISEBISEiaCvP+/XsA3yZaNjY2kEgkOHfuHAwMDNLF8b1N7EqrqmNYt24d1qxZgw4dOoi9jRwH9zeNGH+/fv0a1apVgyAIOH36NFxcXESllZ1wn9NkpY27uLjAyckJT548EZVmdsB9TpMZn9+7dw+hoaFpJgsqxo0bh3HjxuHmzZvw9vYWlba24P6m0cQ4npPeyqvgPqfJjM+LFy+e4e9zms+5v2nEtvEPHz7gwIEDaNy4MfMw+5wC9zlNZnx++/ZtCIKAsmXLprHLZDKUKFECZ86cEZVmdsB9TpPZdp4/f35cunQJgYGB+Pz5M/Lly4fQ0FAMGDAAVatWFZWmtuH+FoePjw+OHDmCjx8/wt7eHkWLFgUA3L17N53QyN27d1Oua4tsXbBzdnbGsGHD8OjRI3Tu3JkM17BhQ2zduhWJiYkoV65ctuRt8+bN6N+/f8r///PPPwCUWzpVeZoxYwYCAwPRqlUrjaYtCAJ69OiBdevW4a+//kLXrl01Gr+u4P5mI8bfb968QbVq1ZCYmIjTp0/Dzc1No3nRNNznbLLaxp89e4aAgAA0btxYo/nSBNznbDLr85EjR6JLly5pbO/fv0fbtm3Ru3dvtG7dGvnz59do3rIC9zebrLbxDRs2AADKly+v0XxpAu5zNpn1uaOjIypUqIALFy4gLCwsRSU0KioKZ86cyXE+5/5m8yNt/O+//0Z8fHyO/RxWBfc5m8z63MnJCQBw+fJl+Pr6pthjY2Nx48aNHPminfuczY+0c2dn55QddWPHjoVCochxbZ77O/MIgoAzZ87AwsIiZdHQ2dkZPj4+2LRpE4YOHZry1cvly5fx+PFjDBw4UKt5ytYFOwCYMWOG2jBt2rTB5s2b4efnhwEDBsDHxwcymQwBAQE4deoUmjRpotFPRuRyOebOnYuIiAiULVsWFy9exNSpU1G/fn1UrlwZgPKztJ49e6Jr1664du0aqlatCoVCgXfv3uH8+fMoVqwYfv/99x9Kv3///lizZg38/f1RrFgxXL58OeWagYEBSpYsmfL/r1+/xtWrVwEoZeIBYMeOHQCU8sqqz+hyCtzf6cmsvz98+JBybtmaNWvw4cMHfPjwISWsi4tLjpwEcJ+nJ7M+v3PnDgYNGoQWLVrAw8MDUqkUd+/exfz582FtbZ3mU4ucBPd5ejLr80KFCqFQoUJpfvvq1SsAQL58+VImLDkJ7u/0ZNbf586dw7Rp09CsWTN4eHggJiYGhw8fxsqVK1GjRg00atQo64WhBbjP0yNm7jZnzhxUr14ddevWxYgRIyCRSDB37lx8+vQpR51hp4L7Oz1i/K1izZo1cHV1zfHnkwLc5ywy6/PKlSujbNmymDhxIqKiolC1alWEhoZi8eLFePnyJTZu3Jj1wtAC3OfpEdPOZ82aBQcHB+TJkwfBwcHYvn079uzZg40bN+aoT2JVcH+np0mTJihRogS8vb1hbW2NoKAgrF+/HmfOnMHSpUuhr/9tqWzmzJmoXbs2WrZsiT59+uDDhw8YOXIkihYtqv3NVppWsUhNaoWSjPheoUQQlKosc+bMEUqUKCEYGhoKJiYmQqFChYRevXqlkcd2c3MTGjRokC5OAELfvn3T2FjKe507dxYUCoVw584doVq1aoKRkZFgZWUl/P7770JERES6eNeuXSuUK1dOUCgUgpGRkZAvXz6hU6dOwrVr11LC+Pr6CkWKFMnwnlPj5uaWRhEy9Z+bm1uasKoyZf117tw502lqA+7vzJFZf6tUfai/CRMmZDpNbcF9njky6/P3798LHTp0EPLlyycYGxsLcrlc8PDwEHr37q1WQTi74D7PHGL69e/JqSqxGcH9nTl/P336VPDz8xOcnZ0FAwMDwdDQUChWrJgwbdo0ISYmJtPpaRPu88whto2fO3dO8PX1FYyNjQVjY2OhRo0awoULFzKdnrbg/s4cYv194cIFAYAwfvz4TKeRXXCfZw4xPv/69aswZswYoXDhwoKxsbFgZ2cnVKtWTTh06FCm09Mm3OeZQ4zPJ02aJOTLl08wMDAQLCwshHr16glnz57NdFrahPs7c8ycOVMoW7asYGlpKejp6QnW1tZC3bp1hQMHDjDDHz16VChfvrxgaGgoWFlZCZ06dRKCg4Mznd6PIhEEQVCzpsfhcDgcDofD4XA4HA6Hw+FwsomcddIth8PhcDgcDofD4XA4HA6Hk8vhC3YcDofD4XA4HA6Hw+FwOBxODoIv2HE4HA6Hw+FwOBwOh8PhcDg5CL5gx+FwOBwOh8PhcDgcDofD4eQg+IIdh8PhcDgcDofD4XA4HA6Hk4PQz2zAmJgYxMXFaTMvHB0hl8thaGiYzs59/mvC/Z374D7PXXB/5z64z3Mf3Oe5C+7v3Af3ee6C+zv3Qfk8HUImiI6OFhzs7AQA/O8X/HNwcBCio6PT+dzW1kHneeN/2edvB1tbneeN/2Wzzx14G/8V/yh/Gxtzf/+qf2Qb53O3X/aP8rm9PW/nv+If93fu++Nzt9z1x/2d+/5YPmeRqR12cXFxeP/hA97eugUzU1NAT48dUJ+ILj6eiphtj4pi2798YdsjI9Pbnjxhh/3wgW0vVoxt9/Ji2/PkYZrjIWPaQ0PZ0SQlse1GRmy7iQnbHhHBtlNFr3JheHgYihRxRVxcXJoV3ri4OHz8+B7nzr2FiYkZ7O3TxyGXs+Om7slAP5F9gagHiXJ2IXz8yI7m3Dm2ffVqtp3yyfLlbDt1v+bmbDsFla6lZXqblPhonWpqCQlsu6qJRESEoWpVtr/ff/yIt5cuwczEhK5olHPF2lltFgBiYtj2QoWY5mEj2X1RiRLsaMqWTW9TKNhhKTuVdarsQ0LYdsqHFNQLGFtbtl2W3BWFh4ehcGHC5+/f4+2LFzAzM6P7YyqjlG9Z/TTlV6pPpyp+/vxMs7mLKTs8QfnybPuMGWw7q/8D6LZsYMC2U31IbCzbTg211tbpbaaGys4+LCwMrh4eTH9HRb1Hhw5vIZebwcODHTfVv1L1z86ObX/4kG13d2fbPT3ZdiqfY8aw7aVLs+3Vq7PtpkTVcXFJb6P8LbY/Dg9n26mpD9Udq+pBeHgYvL2JNv7hA95eu6acu1EVk4KaQFBtn+pDqHbOqmwvXrDDvnrFtvv5se1UHlmOBegKTjmXmqRRZUaFpyoV1QcmTzjCwsLgmj8/0+fBwe/x8OFbmJqawVQ/On0cxL3GxkmYdqrfkkQQFZmIf/8R9vz40SN2NFOnsu0U7dqx7TVqsO3Ozmw7NVxRrmVVKaopUOM11Q+pqkFG43hqf1O+MgAxyFCdFNUeRM7XAwPZ0bDmuwAwdizbPmcO285ClsS+13gpu/+j+l2qCVL9sQQC+wKVQHAw255c9mHh4XD18SHnbi9evIWZmRlkMUQ7JCqDIGeXA9meWRCFEBDI7kOoeQXVrVP1g5oP5LFl9HMZIXa+S7UTqv9W9/CdmmQ/Zdbf1HBK3RLVt5gbs/Mo6Ivrp6lnYCdToj5RZfzmjbgEiDE11jB9eKoJCkSTtTJll01oFLtszMzY8Ui+Es5Kbj/UfJ2FqEdGM1NT5aSPKmzKTtUiyk49pVANgAU1OaImrMbGbDvVMxPeoRbsxK5niM0ONbCI7ZPSp2cGU1Mz5u3qasGOmkxRZUbdK1XNqDKm7pfqDCkSiWJgxaOpBTsJewxNh5mJibKNa3vBjsoQdWNEe5PL2U4Us+BN3arYtkaVPbUYo6kFO6r+UfX1e8zMzDS7YMcqCBm7XyT7dKqQqVER4hohdUuUz6kyptoy5SvKJ1TxiGkOqgU7dcjlZpDLzcg8UkMkZafaGnWvVLpixzyqzKj4qQV4MUM8VeXF9sfUJFHsA2Jmx56UuVtmPrtIDdUniF2wo9o5axYtdu5GOZbKI1VoYhfsqApLlQEVnsqn6D4wLcp5mxlMWQ9fmlqwkxLjOBG/sTG70YqtlhRUPqmip6oONTekXMtqn2Ifnim3UtUgfbxKf+e0BbuwMHY01P1S+c9ktQcgfsGOauIaW7CjEqBWETLZIFRzN5mcaIdiF+yo9syCKATTMHYc0cR6mti2SbcfYkJAoakFO7FjISv+TE7WVf6mskIlSbUdM5ELdmLnIWZmIp/zxCZAVJ5Yw/Q3LPYxxsxMXNmQC3ZJxEMCda8ZIO6R0cDgx0ZWsU+mYsOzSpx6jU/1wDdusO3U214fH6ZZRtj19cW92aEaHuV8Y2P2DIPaUKhq8NTOPBXW1sqKyHK7HoiKmMTuTaLj2GVgRNys1JA9AXC0YPf8tWqxwzs4MM2i5+FBQWw7tYBI+bBUKbb969f0NmqyI7YZqvyszt+wtFQ6nOrFxCJ2UCRuTJCy6zfVSVI+XLEivc3fnx32/Hm2ndoJRNUDYlMY2fYvX2bbqS7NwoJtf/ZM+S+1IzCFpKRvfyzEPrSzfEjNMKjGSVR8wUTk6jhB1apsO7Ux+9Mntp2qZ9RtUfMyqnjEzGsSk5QTiURpxhNXT0+liz5/Zl+n6jG1k47qi6h2YmXFtjs5se1UPpctY9tdDYlX+UTh7zzOfnvL8omNDTtqRwf2g1rIZ/aElerXqTKm6pnKTtWfFBQKZaURuzgk9k2g2CcGVnji6wUy7+vXs+2Us4g5GlX44aV8mXbyvTXRHsiHLGP2vMXckFhgUZWZmvOMEhKUf/GMeVSSSPdRRf/hM7s/psYkaiyk+l1qZ9zJk2w7VRW2b2fbR49m26nxgco/qy6IbVLUbhdVxRFYOyVTYWoiwNREgADiITlC5FyMqgxERf5KzGf69GHbDx1i2ykf3rmT3kb1l65J75l2GTHImBuKfBMTxR4kBWP2KhO5DEY1LNUgTA3GycgSoiFLkIleZCLzw/I5tbBA1A9XF/Y46+rAzoudHXu+QrUTqlsH9chClfEPLJgwocpezIOhaiBX89wVF6f8o7KuMBS3KQbUBg8i7w4O7P6eXExPELeWE2xVmGm3lxO71Ig5HetZmhp/yWpAVEBzE2rdg4iHIpNtPE2WRCbB4XA4HA6Hw+FwOBwOh8PhcLQIX7DjcDgcDofD4XA4HA6Hw+FwchB8wY7D4XA4HA6Hw+FwOBwOh8PJQfAFOw6Hw+FwOBwOh8PhcDgcDicHwRfsOBwOh8PhcDgcDofD4XA4nByEOAkPfX3lHyXfQslwUOHFqhKK0dim4qakGSn5PpbcCAC8ecO2E/JvltWqMe2nT7NVhfz82NHHJrDVMsWqJKtUXSi1OhVyufJPT8pQwUsQp6xkFEPIVRK+kiRkrJr1PdS9UqJzlDgLpVZY2CyQab/9yZlpL/toIzsik+JM82ebEulsVLWkVNio6urtrfxXnb9T2jjVfsSqx1JtlqqwRHjJq5dM+/DheZl2Sh25dZ30akPh+pbMsJQa1Xu2ABkqbf2DfWHyZKb53BN2upSIIVVfKZ+r4lHrcxVidc8pWD6k6gElMUqEz/S9JFOrFttOqf1RCqZUferYjlCMIiSGv9iwFSepYiCVA8PSj2N6yRLQeuHh7N8koxIEppRsKYVEscOyl5e48CWLs8uSUoiWRBD3acx24uNn7HgePGBHw2pXhQqxw54+zdbdo8JTCrpUEzTSJ+pBcqeQmJSxz1MGcrVyst8hdq5HVWSq4bLkbyk5bEouuGJFtp2SRKckn4kO1n8JOzhVv6n+28ODbaf6IuizB//wOAPlv2ArE6uIjFS6LyAg/bVr19i/oepr+fJsO6XSKVIEHqVKse2Uq4ghFVeusO3U2EnNowYPZtsnTmTbWeVjLSfaJDVRjSAyqWpr6tQEkzt2SuFR9PiuRoU4s8EXLGDb27QRlx1WezNKYj9TPA5wY9oLfnrHjnzqVLbd359tJxqzhJqMUT6nBmFVv0vJg3+P2Pm6GN9S/Sg1NlDhCRwcrJl2mT7Rv1FjCUtGGKAlqImH7DNPHJl2ag7YsrKIsQ3IWIlXzVxbIY+HQh5Pj78xItWORbZxqr/U+xpC5Ifoi4iJtn0C+xk71oL9jE1VhWfPMp0k2rVj20+eZM8X9T4QfYjYRRjVwCyivfAddhwOh8PhcDgcDofD4XA4HE4Ogi/YcTgcDofD4XA4HA6Hw+FwODkIvmDH4XA4HA6Hw+FwOBwOh8Ph5CD4gh2Hw+FwOBwOh8PhcDgcDoeTg+ALdhwOh8PhcDgcDofD4XA4HE4OQpxKrEpejlIoEatIQyqdEMoiYtRqqLgpmRNKyYNS/qDioaTDCPUgGxu2SiylrFS0KNtOCfbUd7jJvhCjlEyJV6MoaCSNhZE0lq0+Q5WxSOWZFMna7wj+LGPabWzY9qBX7OjPnmXbf/uNbafKMt6OrVTjSajPwI6QqGTJtgFw/nw3vXHPHnYcxdlKs+aEHe7VAAASdYqfqjauKdUpscrRFETbN7cKZdsdiPiv3UpnMiXavikhE+ss/cqOu18/pjlUylaDpRT28lkQikuESuKlTwWYdsm+vcp/KWVsFSp/i1WEFONzKm7KTihsUUpdVH9JiLWif3+2nRKovHiRbacUTO9ZsdVgPQjVZ0p5eM95dl/XuR2jfPr0Uf4bTyiKJlO2LKBQ0ArUlJIj5W5KfYuKnxrew6PYZWkqjxWXIaK+F5Sz7V26sJWmWdWYGksoNctWrdh2qh5T0wr07s22qxTw1Km/JiQo/7TZxgF6fKDSZd0w1V9RMqvq1DO/h3LWmzdM879FJ7HDE3LK8ZWri4meHgq3b2eaTcuUAQAIauZuKlhdacOG7LDUNJjCKIoYq4g5XQEndn2ys2PPg6l2QuWzRg22nWq3Li5sOzWeVMrzln3BjKH2eegkOywlS53s13SoZIczO2einlnEPm+JbMvUfIaYRpFlT43Z9+6x4mDXG/IRhLowaxbbTtxrNIyYdiOqb6EGQyo/R44kJxTNvp5VqHRZdmpQevWKbRepSCqj6hk1DlATDkrKmupEWFKiAGxs2CqxlJI1PrHbT7QFOx4jxmQv3EQZlpoDpYOqT2LbOAXRf+tRyuRUHaHyQ7UTor1RAvGUADCrihS2Y49V+/axVYr37WPH7ePD9quzGTFPpdSLVVLnaubrqeE77DgcDofD4XA4HA6Hw+FwOJwcBF+w43A4HA6Hw+FwOBwOh8PhcHIQfMGOw+FwOBwOh8PhcDgcDofDyUHwBTsOh8PhcDgcDofD4XA4HA4nB8EX7DgcDofD4XA4HA6Hw+FwOJwchGZVYik7pfZCqb5mlD4LluIIpYIjVq3QgaH+BNAyVdS9EkohRauylUcpAZ4G9RLZFx49Ypq7zinJtK9fr/qvMHZ8KuLilH+ssqfKmFKkIco4XM5WaSFEfMgippTAnJzY9hs32HZK5IgQ+iWrca1abDUZ2zxEXWMl3K4dO+zWrWz7nDlse2YVxtSpxIpUZiTTpeqIGPUqgHYWlR+WNFkY0QYoeTPqngh5TULwlOxCnn9lt4d8b24x7RWSXrEjUqlmqVMTVNevi4VV9pT0KFGWIUlsZd1bt9jRUAJ7FNWqse3e3mw71cZfvGDb8+Rh2xXGbJWtfE7s9pAvbhM7opOMBIYOVf4bEQH8+y/7dwA+fgQiI+ky27WLbadU0qh6LFZomhSwpvoKsX0Ioazmqh/MDv8pKJ0pb3miMXt6Ms33H0iYdiqLzue3sS9QFVOlzhYbC1y+zA4DfFOJpQpZ7JyO6jOpzo5StWPFQ+WRknCm6gE1BlCKdpTMJSVRR6QrW7+Kac/HjoUew6g+UzXRUaMg6eioFPtjFYOpCbsfio1j11dJDJEWVfbUZInwobmUnZ9Spdj5oYT3qH5XrIghJUR57pUr017FhlE+VAdLqVZS9UDVIavxd3ySHuKT9CCjnupI6VQCkW1c7/NHtp0YIGRE4VtZmTLtrKkC9ZxECfG+snNj2vPnZ4enujOqq1h4qADTToliUtP7wqq2Tw6K+Hb9R57JKTtrokPlgZofi+2Pqb6CGjOo9kM1WmrcIGS7i8j/Y4c/SzixUCGm2WjrOqb9Yfmu6WxebFHW9MTEKMuFKhuxcyWqz6HaPhE+Xs5Wa/78la16a0+NbZSdyE7Romw7q8ref89+rqL6EKpPoKo9rlxh21ny1sC3QUlEv8x32HE4HA6Hw+FwOBwOh8PhcDg5CL5gx+FwOBwOh8PhcDgcDofD4eQg+IIdh8PhcDgcDofD4XA4HA6Hk4PgC3YcDofD4XA4HA6Hw+FwOBxODoIv2HE4HA6Hw+FwOBwOh8PhcDg5CHEqsdHRSpUQSjWGktKjVF3EqoxSyigs9Rkqj5T6CaX8SMlLUdKjlBwQITdkaRzLtHfoYMCO5wkhnUpIqq4bzS6zs2eVakZJSbRKCoBv6nIsVSHKf5TqD6HiQymWmZmxFcL27BEVPZYsYdup6kQpP6pEGL+HEvAj1WS+Egmz6iBVX6n6R0k5qtR9EhJIdSQASrXBmBjNKT6LVS2i2hsFoVoUnGTLtNsbMtJlKccCwPv3otKEGVvqiVI2nTWLbacUTGvUqMm+QFAYhPrl96iUoCmfi+2nWeVDxU00wq9E0VesyLZTQ4xKKPd7KAVqHx+2XSZlq3NHRbFVsKhqHPKZ3afFxBgx7c7+/uyIWO1QNcZQfUYylpaAQkEPkT17su0BAWw7paRH9X9U9swN2WOhIDdn2iVU+6SUxqhKQoUXoZr8+g3brytWsMNPnUpE5NWUbT96lG1XKTCqUZBEYqLyfsSqfFNjORUPVfGD0ivuAmD7hBrInzxh28Uq3VF5Fzl3I6UiKcSWMaE8nNIQqf43Gb2IUOhJBRibpG8/0THs+kr1CQYfiLZGjfvEWHj/Ebu/pFxOTcspNVhq7kZNeai5GyXsd/w42752bfr+u3x5Z2bYXg392JFQN6uqH9SENRnVMP7+M7uMnz1jq69Wr8oe28j6SrVlqr5S4Yn66+RUhGlfuTK9jRqvKcFGqqug5lyU2iwlyE11OZ06se2FLd6xL6gecuLj2ddVqJwutl8X09dR/RzV9qk0qXGWqvcODmw71cipdKl2Q8VPhac6qRs32HZCnbZwnsh0tvPnlSqrkZFA3brs6AB8UwUWqcQbb+PItFPVwDHsJfsCMSeSEWVpb0GU5Xui7hB1xFGfrUD9kXjOY1URavpAtX2qLRt8CmRfoAZPqtP5AfgOOw6Hw+FwOBwOh8PhcDgcDicHwRfsOBwOh8PhcDgcDofD4XA4nBwEX7DjcDgcDofD4XA4HA6Hw+FwchB8wY7D4XA4HA6Hw+FwOBwOh8PJQfAFOw6Hw+FwOBwOh8PhcDgcDicHIU6+IioK0NOjFUo+f2bbKZUgseoZlFoXS85DU8phlOrZnTtsO6WoQ0nmEUp3EkqhjlKkKVqUbScUb54feQoACIuIgDkhLApAWY76+mwlM6osqXpAqe8QakNRUWxVK0pU7exZtp2qCrt2se2NG7Pt1O1SokWESBAUlG9ZN0ZJM1I3RSl1qeQyo6KA8+fZYQD1qlNU26dk2CjlHCoeotAibdyY9jCiqpFCVTau6W3Ea4sHX/My7ZSorFSkOBalYEo1ZareU1Xh8Ct7AEBUFFuB9HvCDdmKS0dOs8O3rBfOtAcz2i3VRqxECidSZV/Sm600/Xsfthpiv37seGRRoewLhOphPhO2Eu/bAHumnRImowRM5XK24t/79+nLWCW2FhHB/o0KJyfA1JQWPaOaMtVtUUMe1YVYJxDqxa++Ms1sD4JWl6PmG1RfRFU2FkTjfEWoErZowbZTqoHt2rHV4VvXq8q0f4xTKoCGh4cB6MuOFKCV3lWIVfOmVMrFKqGyfEL5j+pIxapZUnmh5idUB0tVcGqeSkHln5KoVMWvbv6crAys9zUk3SUjKk2qU6D8TXXsRPh9c8RFT02/qaZMzdEoQWlKLZxSI6fG7B070tvKlGGHpcr4aQB7nD79qRkAIDo6Y/XvJ0+UotEsNVWAnteS9ZhSAaUKmQpPQTiRmvKyHivqV2bPQQD2swMV97JlbPvp00T0Ihk8mG0PTGKrdzp37678j8hIYO9eOuLYWGUfLVI1VJRvqXFWrL8pSVKq/l27xrZXrsy2U/0h5XSqE6HGGQ8Ptp0qe0rKmjEuffpUAADtLhXRcnPI5GZkUUql6RXBAeAFoWpcpQyhLv+VKAOqzCgfUmVJ2IMjFEy7vZwd/wtC+XX79vQ2qno8esS2N2zItsOGiIiSHM+fn21XjQNRUewMM+A77DgcDofD4XA4HA6Hw+FwOJwcBF+w43A4HA6Hw+FwOBwOh8PhcHIQfMGOw+FwOBwOh8PhcDgcDofDyUHwBTvO/9k76/Aori4Ovxt3IpAQAgR3h+DuXhyKuxR3KQ5Finw4tFBoKS5tcXd3d3cNEeKy+/2xSQhkDiGQZEMy7/PkIdydzD07c+XMmXvPT0VFRUVFRUVFRUVFRUVFRUUlCaEG7FRUVFRUVFRUVFRUVFRUVFRUVJIQcZNpff1ar1ojKYVIEidxVSCTlC4lySgl+Q9JvUpSCJNkqiT1k1y5lMul7yQp1UhyL5KySPXqyuWSzKAkjxWpWqsRNfj0RKrEKt1z6btKqkJC+9DZKCs6SaJttwVlGKlZSsJnklKkdMkk1a88eZTLrd8+Uv5Auj5K5VKbl9qldO4CBfT/xqbs9Pw5WFvLF1OS2omrGqwk9ynIaL4TmrekDCx1k1WrYpZJ9/XhQ+Xy04IiZPv2yuVSO5Yuzd69yuXllYUiRVHCyH4i1ROFmRmYmWEb8Ebx46tXldVjs2RR7rdK4lhxVWiysVEulxRJ129QHsc2b1Y+vnVr5XKchX4lSKfqMiqrF2dAWbU2XKtspzTcm/p5KZYfvu0QoyxySPf3Vz5XJJMn62+5dA0kW8aOVS4fMUK5XJpSraUGKc1h0lgnIamhSv6JNBYpNVph/HR2VlZ4lNyN2rWVyyXx+eYVla9ZGhP9dzU3ktQSI/D01CsKStdS6qCS0p30xeKqHK90fsl3k1RfY5PW+xRpEJFsl3w0SQFPan/SHCn5kpKEacWK+n/9/GD8eOVjALy8IDRU0YfQpY+plg6g0YYrn0v6TtLkI7SPPHmU5xKp658U1A0jx7pP6dNHuVxye/bvVy6XfALpFo4eHbNMELzHX6s8VmTnjmJ5pvZ6BUlfX+jbV/mcoH/EsLKSb4k0thgZKdtTq3gc+4nkMEnS6MLk71gkv2L57NEx1Y4xU3YUIt3dT5G6rKTiev68crl0CSQkwWfp0rhVrvx1FX2K9PAjjWlK/Vwah6SLKTm8klMnzSWSIyI5/YKEc2jVWorlpt7K/q7UyX0sXBTLU0mDizAAHDpqHKMsUqX4c0Lu8KG9HD2q/Lk0dRYvrlweLPT912HK5RlslP1RMb4hPUwLbcclk/LA/uptTH8XYPdu5dMrzQ9Sc5L6ptj1hGfycBNzxXJj6aZE3szYHPZoxGmFnaePD81HjWLdvn1x+TOV75g9+/dTp2FD3koOt0qyIjgkhF7TpzN5+XJDm6KSSFy7cYPajRpx6epVQ5uikghotaFcvz6LGTM6odMpBxZVkhevPT1p0r8//0oRCpVkx45Dh6jXrRvePj6GNkUlEQgODmThwm6cPz/T0KaoJBIXr16lVqtWXL+jHOxVSW6EAlOZPr2H6rulQOK0wi5LkyYAhIWF0axKlQQxSCVp0aRlSwAutmxJ1TJlDGyNSkLjXEv/NiqNvT3D27Y1sDUqiUHpiLG8SunSFMyXz8DWqCQ069Z9eP3YrdsMbGzsDWeMSqKQvU4dACxMTGgYuXpDJVnTon9/AK7dvEmZEiUMbI1KQtOpk37Fhp1dZooUEZaMqSQrKjRuDEDdChXIkz27ga1RSXj0vtt//0Hv3jMxN1deCaeSPPmqHHaLhw6NbztUkjD9evWiSunShjZDJRE5umiRoU1QSUQKFShAny5dDG2GSiJgaanfqzpx4jY1WJfCmD9smKFNUElEfu7RQw3WpTAaNxZyaqgkS8oWL063iIUVKskd/Rbn2bP3qcG6FEicAnYajYZzy5bhaGeXUPaoJDKxLast4eHBjClT0MSW604l2fDX6NHkkHIXqXx3xNbHndOk4eCOHZiamiaSRSqGJDDwFblz96d4cSGRmsp3R2x93NjYmKv//UcqW+W8kyrfH7Hd8/LFijGhX7/EMUYlSTBw4FpSpcpiaDNU4onY+rhb2rTsWLkSEykHqUoywxsYQdGi6ir55EJctjbHqZf/2qkTRVxd5SSRUsJ7KSmjdLyU7U9Y5bVlZ8wHzXq54pj4UlIykIKTUqbCmjXjdryUBFoo33XWSbG8hvY0QSEhrD54kDZVqmBiHJHYUkoYmj49I1asYPI//yh/HsGCKVMwCgpSzoYpZUyVEpoKWcg1fsoJszNmVH64kAQFpKS60qWXEhdLIhJSM5YSEZ97q5yQXtJUUUoWbByLSMrF27d5HxBAuUKF9OXSl8qYkZCQEFLFEmz/6YcfaFOhgqhU8CpPJcVyl9fblE8o2SMk/vb0U07cKeU0lS6PpNWhlAf299+Vj5WQkjrH9SWn1H06dlQujxy6Nm36m0qV6mFnZw98vn1fubKbqVNrfNaOxSNHksrTUxxzxrX2Vv5DKQn8y5iJjtNkU07s/yydcjJZ6dpISXmlJOFSTnYpF7M43guJlDU3bygfLyTgNhbavXemoorlYWEOPH/+lIsXz1C7dsOo8iwKz2SRfaFLlyLKNkVgZfUDgYHjxETbkiCCkmCL3kbl8unTlcsdpJsriVFIN0t6SJESHUsDuCRaoPTFhPsnmaJ0n0AeQyKFQHbu3EbOnLnJnFl/gnM3lRNeFykCjx8/JpNUUQQzhwwhb44ccZ/EpGsjXWPpHkr1KiUQlxqUtF1fSuosTQJSH4+r0JKklCAh+Z5mZvgHBbH+6FHaVKqEcaTvJomhHD9O740bmXfkyGermzNmDBpjY0V/TBPXvhMXYRYQffgfatsrHy/c8zNXlVeRSGIA0i100CoIFgA2Nsr+tOQ2f8a9ioF0aTQRgkRnz54lNDSUUqVKAeDpqLyl8e55CA4OokKFVMonjKBbt34MG9aU1A7KwiEvXsdMdg/Qvbvy+aZPV742+373Vv4D6QtL4gTCWCoNOf5pY9pjfV95/rVwzq1YLiWel4S+pOOl9icRmQL82rU/yZ69MWZm+mcbMc728iX/7txJo65dP3veJUOHYuPpKZ9IGnOki6z07BZX4TspF7IkriOJVEhxgDjaY3r0gGL5rXTKzzI5UyuPFam0guCCMPe+DzDm8eNHXLt2mVq16kWVz1RIMRn5aLx2rXCNomgCjKRsWeVP45rtQhLQk6aB0qWV/fUy6YV7JdxbHytXxXIrYfw+e1a5XErJG5G97SMkt0ISB5KGrUcvlZ9RI9m9exN58xbGzU0/KaTLV1jxONP7t7j3+DHZpJiRAnFaYde1lrLaihJjV6xAU7s2Ds2aofnpJzQ//cQjT+WOoBI/XLh3j46zZmFarx7+guPsExhIprFjufjgQazBOoBssTwIROIfEIAmUyb9T7FiaIoVo9fUqXGyXyXu1B86lPI//cSstWvFY/5Yv54qNWuyW/JKojG5c+cvXk25adM60qbV4OZmgqZuXTR163JMih6pxAthYWEMHdqW4sUdeP5cWbkUYMSIshw7tjLWYB1ARQ+PL66/TIsWaHLkwKZQITQVK1KwUydCQkO/+O9V4s78+b/SsWMjunf/Ea3wRHrlyilatcrC69dPeP783mfP5+y8DCOjL1tp9erVBX79VcOvv2qAyJ8VcfsCKnGmSZO65M+flaNHBUU8YPLkHgwfPpzu3bvFer72DRvGekwkw+bORVOsGI6VK6PJlQtNrlw8f/Xqi/9eJe4cu36dDrNmYdW4MYHBwYrHvPX1JWPv3tx4+TLWYB1AZinI9gle3t5oHB31P3nyoMmTh+FKT5Uq8UqVqlUpXaYMv/32m3jMH3/MZ+DAuhw4sDHW8w0bNu6Lfbf165eTLp2GzJkt2LxZw+bNGry8hKd3lXghLCyQPXs6sGCBHf7+LxSP0el0tG9fjI3bt8carAMoLcnhKpCvXj00uXJhUaAAmtq1Kdm/P2Hhgiq0SrwwadIYmjevT69encWVVJ6eh9m4MTvv3z8gMFC5XXxgMfBlW2F9fE6yf7+G/fs1tG2r/zl1al3cvoBKnOnatQFlyrhz4cIp8ZhOndozdu5cWg0eHKdzf1UOuy/BxlLfqLyjvVkNV1VNEhSPaEu3ivbpg6evL5o+fZi2bx/zDx9m7PbtvPXz49G7d/T54494rdvCPGbUOVh9kE9wFkV0+P6zZ3P36VNm/PEHxrlycf/xY+p06cLF69cZNXs2+w8e5KX02uQrcXV1AyA82qQfGpsuuco3YWJiQoYM+iB65cru6HQ6OndOz/Tpzbl4cTezZrVGp9Nx8+YxFi5sHe/1v/XSv2X0j3hDGxAUpKpVJTDduw8E4L//1rB06XyOHt1PkSIaLlw4yi+/dGffvo0cPLiJFy8ecPz45nit29pa6U2ockBBJf746ae+ANSsWQGdTsfAgQ1o2jQPDx7coFevGvj5+bBx4yKmTp1CiLTS4Ssxjtj54BVthUO4tHRJJV6omD8/ACFhYVQeMYLnnp5oWrZk3q5dzNy2jcmbNvHc25snnp4M27o1Xuu2sbaOUab6bgnPH0uWANC9Rw+ePHnC9OkTcHOz4OHD+zRrVpNbt64zZswgjh3bhp+fd7zWnTat3ncLjhYc1ulU3y0hMTGxxMJCv1p88eJ06HRaatRIzYQJHThyZAsTJ3aM8N3O0URa9vgNvItYgh8cMV8ExvO8oRKTQYN+BmD58j9Yvfpvdu3azubNGry9z3LhQkdevtzK06eref/+Li9e7IvXus3N3WKUhYWp9zyhad68EwANG5YEoE6dGnh4FObKlSvUq1cLf39//v77L8bNnx/nxQ4JErC79fQpw5YtI0vatBSNWFPcvVw5skjryVXiBWMjI4pFKAVVLVSI/ZcuATBk0yZ6bdjAuJ07yeCgX9J6JJ5XQo2dNQuA3u3bR5X1bNo0XutQiUm6aH3K1sqKWX/9hVarpUjDhmw/dIg+EyfSqFo1ALr89FO81evn954uXZpia2tHo0b6vaC5M2SgYhze+Kl8HeXK6ZdQp0uXkUeP7vLu3TOOH1/H+PE1OHx4JW/ePEqQejfs3MntBw9oGNGeAEa1bYu5tKVBJV6wsfmwGi5Lluxs3LgSgJ9/bsnGjb8xeHATSpbU35M5c3rFW706nY7Nm5uj0RhRqFCPaJ+0i7c6VJTJnTtv1O/h4eEcOrSJBw9u0LRpHk6e3M2JE7uiPj/yBautvpQrd+8yadkycmXKRJ6I1fX927Ujg6vyFhaV+MHE2JjcGTIAUCF/fvZcvAhA77/+YuDKlYxYu5ZMEXP9ZmnL2VcybNw4fV3RVvR0a9YsXutQiUmGiPsNYGNjw9y5UwkODqZ8+fzs37+LCROGU6dOIwCmT4+/cd3b24sePVpgb+9AvXp6H93BoQSOjqqwXEKTNWsDAJyc8uHpeQ0fH0+2bfuTwYPrs3XrMry83iRIvSu3bOHFmzf8GKEWDvBz8+YfUiepJAipUn3Yxu7unonVq5cDcOZMI548Wcbp0/VwcdHnIDl+PP5E33Q6LVeuNEajMcbN7UPwt1QpVZwkocmV68MzcHBwMHv27ObSpYsULVqAXbt2cuTIh10T1+7cidO5EyRgt+HoUcK1WqoVLkz1Ivp8Oj6BgVj364frsGEEqJH9eEWr1XLp/n0aTpjA2YgGsOrgQX7fsSPGsQWjbVMd06wZS+IpiPPnhg0AtG3UKKpsxooVaIoV438rV8ZLHSof8AsIYO3evdQeNCiqbNiCBTyNWEXn816fF/DI2bOs2fYhv9z+XbuID06cOMyrVy9wcHCiQYMWgF6UJk+PHmjq1uWWlHRO5avQ6XQ8ffqQX37py6pVCwB4/vwxc+eOiXHshAkfciKULNmcYcP2xIsNf/37LwBNatakUG59jpgjly+jqViRNr/8Ei91qHwgJCSEI0f20aTJh8QkCxdO5+zZEwC8fPkkqnzChA/O3rBhf8dL/e/fP+Xp08PodFqKFu0T7ZOa6LfGxs9YovKBN2/eMHv2dHr3/hA8GTy4b4zjZs7sH/W7s7MzJ06cjJf61+7eDUDtMmWoFqEu6untjVn+/GSuUiVqdYZK/KDVajl/9y71xo/nxhN9f16+fz9/KqSvKD5qVNTvk+vWZYFSop44otPp+GvNGgA6t2kTVT5uwQI0efKwYPXqb65D5WPev3/PypUrqf/DD1FlQ4cOxd/fH4CAiNXrO3duZseO/6KOWbjwULzUf/ToPt69e4ura3pq124M6NvBvn3Z2bxZg7//g3ipRyUSHd7e99i//yeuXVsKgKfnVU6dmhDjyJ9+qhD1e5tGjdjx11/xYsGyiPRHTWrUIGtEwsXd58+jqV2bbnPnxksdKh8IDg5m377d1K37wXebOXMK58/rt50HBn7w3a5e/TC/V6ggpzaKC4GB93n//gw6XThubh+e8adMqUzbthquXxeSv6l8NW/evGL+/MmMG/fhfo4f3y/Gcb17f3j5ncnNjRMR8++XkCDSMgMbNeKVtzdzN29mZhf9g8TqiKyBASEhmKuKNt9MeHgYO3cu4eTJzdy4cQI/P29cHR2pVrgwey5cwMvPj70Rb2mjY2NuzoQ6dSjl4UGVAgXwDQig84IF32zPwTVrqNqqFTOXLKF43rycvnaNFREBQ1P1fscLD58/Z86aNRw6f55Ld+4QHh5OrVKlCA8P57WXF39u3x7jb1I7OFAsXz6atGxJ9apVP3rj8y1UqVKLqVMXMnRoD27e1L/xv/74Q0611KqSdLxw8OB/7NixksuXj/PmzXOsrGyoVq0he/bog2fbtsV8oLKySkW9egPIlKkkHh6NCQoSEr7HkaWTJ9O8Xz9+WbiQCsWLc/HGDZZEBIN9pSTGKnHC29uLxYvncujQXi5ePENQUBB58xYkb96CXLt2iSNHlLdNpE6dlgYN+lKwYAXSps0UL7bY2WWgZcsjrFpVnmvXlqN3F8KASBvUVVfxweXLJ9mw4TcuXjzG48d3MDY2plGjZmze/A9hYWEsXhxzfnZySkvJkjVo0KAczZo1+ygtwbfwc8eOvPHy4n+rVjG9r97xXL5pEwBPX71S5/J4IDQsjN8OH2brlSucvH8fn8BAMqRJQ5WCBdl36RIv3r3jRWSW+mjYWlryS7NmlE6ThorZs+MbFMRPES9KvxaNRsPxnTup/MMPzFq4kPw5cnDl9m1WR4zrVlLmbZU4cffuXebOncuRI4e5fPkyWq2W+vXrc/jwYby9vVkcsT02Oi4urhQoUAQPj4aUKlULKytBQCCO1K7diHHj/seYMf158uQhAN7eH/LXmZlJikwqX44O2ACsAY7z558vMTOzI0uWH7h/Xz+e3rmzPsZfWVvb0arVYBqVz0bDmjV5L4n1xJGV06bRuE8fflm0iPLFinHv8WP+iHg5I+U7V4kbnp6ezFm4kH2HDnH2/HmCg4MpXLgouXPn5caNa+zZE3MBjUZjjIVFevLnH0jatBWxts6gcOa4Y2WVjcKF93PhQmVev/6Qt+7mTX3QP1Uq1XeLD86cOcrq1Ys5d+4Yjx7dw9TUlDp1mrFz50bCw8NZuXJRjL9xdnahatXqlMuWhWa1asUpjVTcvK+nT8HSUlZpidgjbwH4e3riaG1Nk6xZiRSje9qqFW7W1h/kPCXVGEnZRlAftVJSHJHkfSRFMUHBFIWgFyDa6BMWMx8IgHfZVorl7hc3KZ9/507F4hp+GwgLD6fpmjVsunmTqlmyMKREUcqUKkXpHDkwNzXl+O3bBIeG4h8cjI2NDdeePKFUzpzkTp8eq8hcczdv6n9iG6z9/ECjUZRM8bGPpoIaZsU73/ekyZSToOBguHaNUkWKcHDNGswit8wJQZz3YV+WRDOSSEHUTzl6VLlcak6CSJV4yyWVREm8TlKuLJpPyAH1UqF9R2wxvXjxItU6dsTIyIhaNWrQvV07ynp4kDtbNrx9fDhy5gz2dnaEAvcePcItbVoyZ8xI7ogt0pH3z1dSXopEq9X/CBftwzUzwsIiFI1GQ7t2TZg0aQQA506coEjhaKo4kgyRcPGd7l9QLLewUFbakZ4npF1DKxTy5UvPPNJiEknUR+iydO6sXF63rnJ5pI/2xx+j+PvvieTOXZyqVdtgYVGGLFnKYWlpT4ECV/Hx0a9ibNgwFadOHaV06QpkypQVR0e9mloa+1AgHF/fUD6bvzgwUK/YHYtymEN4OG9fvsTN0RGPtGlZGPGx7+LF2FpafpDyVWo7N28qntpNaAev3mZVLJdMlFQ3pXsoxpOlyVOSDZQqluY2QRnd6eklXnl6Ur9LFx4+f07tsmVp3qsXJRs3o2jRooSFhXHgwAEsLS3x8/PDxyeQkJAQcubMTb58BTAyMooSrXz//vN9PHduMDWVx6foX9XTUwvoMDcvhj5YB9WqzaZYsd5RCc6lcVdyE85dVVbZsrHJqVgeJIgRSyLFtQrEQQHvcyip0guy1NmvK8/j4XV/UCx3MdPnglyzcSMduncna+bM1K9RiaKlx1O2bHlcXdPx+PEjrl69jLW1DdbWFhw/fpTixUvi7p4pajud+bsX8N4X3/fKSutRRA4q0nwfkaPOEvB7/x5ne3saFC/OwIiPn0+YgGuqVB/kFKVt8NKkKjUGJcVgQWFZ9N2k3KySGrEkORdXRUWp70uT0v37hISH0/Cff9h5/z7VM2dmsIcHZdKlo1S6dJgZG3M0Tx7CtFr8Q0OxDA7mlrc3JV1cyG1vj2VksLRohKK0qalyPZHodLJsaqQPDti8fYu3lxfpTUx4nCYN3L5N9XLl2Lp0KaaRdQiKuJ72yuO0jZD95qFwCxctUv4u0iUuX1653PydkLT9sbJAU42Myt/rmZWyyqhbasF3M4nZH44d14+PN26coX//6pibW1CiRC1q1+5FoULlyJgxBz17vuPy5WPY2tqTI1MAt+7cIXOmTGRydydnZE7qiL7r+z5mEDc6pqYR3VLo467eH66Bpe9TjI2N6VqpKJMm6ct2775KjhwftuK7mzwTahLatzR3SgO10E/iKjKqhDTMSaqSY8cql0fbwPIR0uPluqjYyBBgOlAK6EDmzGWwsSmHsbEdOXNeIjT0JaBl7NhUXLx4nGLFKpAxYzbs7PQpi96+hYP3wN8/Fn/d2xtCQ+WOEuGTOYSG8ublS3KlT0+haKrr76dNw8bc/MOkryR3LI3p0kVWOgfIcpzSCiOhz35OPVuRkiUVi3N6K4sCPLEqoVieIb1yrua/V2h49+4ZU6ZUw9v7OQUK1KZp0xZcuFAGE5MiWFsHkyPHAYyMrNFqAyhbVn9PnZ1zkC6d3neLHI5DQmK537HwcfvW50d7+PCDH1Ow4FLSp2/PsWP6sWnECOXzxNWnCwhwVyyfN0/5eCXXCuShQsrgJU3xSk22alXlYx3eKm9LfWalrNrt5hgIwF8rVtCxe3dy5sjBD3VqkDNvBUqUKI+zc1oeP37A7dvXsLS0IpOrMYePHqVMqVJkypgRN7eI3IK3bwMQGoeAeYK8Lj1w8ybLjh9n3o8/ksZWn3+nZoYM+mCdyjfz65EjbLl1i82tWlE3chaLNoOUyRntwcfMjEoRCY0TirCwMEaMGIBGo6Fv3yGsXjiVf3ft4u///e9DsE7lqwkNDaVR8+ZkSJ+evTt34ujo+NHIZp8qFfUiRyMzMypLmt9fgKRC+SkPHjxgzJjRdOrUmewRQUFzc3MKS9FUlThx8uR2/v57Il26TKZVq2HAx8+Zrq75cHXVR4o9PMDDo1SC2qPT6Zj5zz9cefiQpQMG8D5QP2kt6dxZH6xT+Wa6jB+Pp48P51avJlfmzACE5ysIgJmZGTVqfFD8/ZYFjWFhfpiaxr4CNiTEh9On+5A6dXEyZmxA+vRlePr0GEWK9PhiNUIVmbv379O+Vy9aNGrEn/PnY2Jigr+ZQ9TnGTO6kzGj3hE2MYGSJRO2jwPsPHWKVXv38seQIaSOWI3dpFAhfbBO5ZuZcOwYex48YEezZlSP6OPRg2rlouU1w9ubKm4xE4fHJ6FhYfSbNw8rCwsGNG1K2I4d7Dt2jCVTp34I1ql8NcHBQfz8cyMyZszJzJm7sLFJRfRFqqlSOVKuXD0AShQKplLFil9d15eKP915+JAJixbxU4sWuEe0LwcHJ7Jnz/PVdatEZyP6YN0sQL9KOfrwaWlZEEtL/bxeqBAUKpSwuQN1Oh2TN27k7suXbBgyhCcRL67Wd+igD9apfDOLF7cnONifCRMu4uKif4kREY9Bo7HA3r5W1LERWcK+kkDgS3YvvUPf9soDNbGzK4Sv70Xc3Nqovls8cOPmTbr07En71q35ff58jI2NefL2w3NQxoyZyZhRP79nSB1IyeLF46XeOOWwG/Hff6J6VLhWyz/nz1N15kwqz5xJ6SxZ6FquHBamprTOlo2dT56w5VHCJENPaRx48ICa2bN/CNYlZF0nToifvX79il9/nUCBAplYt24Fv/wyEyen1HRs1gwrS0uqtmpFqKo29s08fvyYBw8eMH7MGH2wLgFpNXkynj4+4udHjhzhxx9bkDNnDmxsbJg4cSIA0yZPJjg4mEnRciSqfD3nz+8ndWo3WrYcmuB1/bl1q+js+wcGsnDrVgr06MHQP/6gb4MGFMuRg/L58pHV2Zl+K1bwQFh9oRI39p8+Ta8WLaKCdQnFqVO18PO7LX7u7X2DU6d6sXFjBnx9b1OixEI0GiPKlh0NwKZNauLi+ODk2bMEBwcza9IkTBJ4q+nYxYtFRbKwsDDWHzxIxb59qTV0KJUKF6Z9zZrYWVvTuGBBNly8yO4bNxLUvpTCgceP+SF79g/BugTkqLSSEHjh6cnYZctwb96c9QcPMrt3b+xtbenWsiXmZmZUbd36i1/eqcg8e3aX16+f0rXrL9jYJGzQu0eP9nhFqLh/ik6n4+Dp0zTp14/c9eqR2sGBcb30QhYDB07Ay8uTP/74X4Lal3I4AGQjMliXkKw+eFD03d4HBDBv2zby9u7N2DVrGNKwIfkzZaJaoUJkcHCg85o1PBNWjKt8OTqdjhs3DlCzZv+oYF3CUQcQlikDcBXoDmQEngLzAA05c44H4NKljglsX8rg2IkThIaGMnv6dIwTUbglTgG73w4dosTkyZyOtmfGLyiIVUePUnToUBovWkRASAgrOnVi34ABUQo0f1SogK2pKXufSUusVeKCh5sbxx8/ThSHqkHXrgyYMCFKEhzgzoMHjJw+ncKFszJr1hSqVavN4cMXaN26AwCuzs4snDiRh0+fclcN0n4zGTNmJE2aNByTlnzHIyeuX6dA165sOnw4qn2FhoWx/fhxavXrR4UK5blw4QLTpk3n8uUrOEesPR7Yrx8lihdnt0KybJW4kyuXB2/fPuPVK2FbQDzS93//o/GwYTyMtrXs5bt3zNqwgext29JrwQKyp0vHnkmT+F+3bgAYGxuzffBg/IKCOHXvXoLbmBLwyJuX49J+/HgkLMyPQ4cKc+rUfMLC9Fu8dDodjx+f4N9/O7J5c14ePdpArlx9adDgNk5O+lfCWbJUp1Chrjx8uA+dTn2Y/1Y8IlIHHJfSBsQjc9aupXSnTpy7dSuq7H1AAH/v2kXhTp1oNnYsWp2O1aNGsfPXXzGK2Lq9om1bTI2N2R9HNTMVZTzSpuXYs2dfvBrqW6jTtSvDpk3DO1oajJv37zNs5kyytmzJ9LVr+aFMGS4vXcqPVaoA4J4+PbNGj+b2/fs8Vv31b8bNLRs2Nqm4cuVYgtd1+PB+ypQpyLadO6PaV0hICFt37KB6/fpUat+e63fvMnv4cC7+8w8OEcu+evX6mdy5C3L48O4EtzFl4AHcBV4leE3d587lxylTePLqQ13P375lxpo1ZPvxR/r98Qf5MmbkwIQJTGrdGtDnFN/UuTM+gYGckbadqnwxGo2GzJk9uH074fs4vAUKAYuByHwvWuAo0AbID2wGBgO3I/4PLi71SJ++LW/f7kmUuSe54xGRluL4yfgR+/pS4vRa98CgQXRfsYISI0ZQwN0dZzs7jt++TUBwMBXy5OH40KGUyhozwmxmbEyDTJk48SrhB7CUQIXMmZl8+DCXX72ikGvCJo+cOGgQE+bMYdHKlZQpVozXb99y+eZNbG1saN++G4MG/YyDQ8xVX41q1qTdwIGcPH+e3FLCB5UvwtTUFI9ixThwKH5Uwj7H8Tlz6DN/Pg2GDCGTqys53d05d/Mmb729yZM5M+vXb6Bhw4ZRD3SRaDQamjVuzIjRo9HpdOqy62+kYEG9WtiFCweoVat9gta1YuxY+s2aRdbWrSmdNy9arZaTN25gbGREk/Ll+aVtWzIrJIvI4epK9rRpOXHnDi1KJfx2veRO6YIFWbBuHUHBwVgk4FaVMmWOcPv2WLZt68XBg+NwdS3C27c38fZ+hK1tOjw8ZpMjRzeMjWOmM8iTpzkXL/6Op+ctUqdWzvOk8mXkyJYNRwcHDhw5Qv1atWL/g29g7/z5dJ8yhWJdulAoe3ac7Ow4duUKQSEhVClalKVDh+KhsGLfwtSUBvnzc+KBqhwZH5TPkIFZZ89y+907cjo5JWhdY3r1YtJvvzF3xQrKFC7MizdvuHrnDqlsbenTqBHDWrbEPiJlTXSa1a1Lj5EjOXH+PJkyxE8S9JSKubkFOXIU4fz5A3ToMDpB69qz5ziDBvWibpMmZM2ShWxZsnDm/HnevXtHgXz52DRvHvUqVYrhm2k0GurWbcaiReruiPghUun1INA8QWtaOmAAA3//nQ0tWlAmXz5CwsI4df06piYmtKhcmQlNmpAxTZoYf1cofXrS29tz4sEDGkTkyVb5erJlK8Xx4ysICwvBRCGfZfxxFPgZ6AqMAgoD14AnQHpgIdAJiJnOwNW1GU+fLicw8CFWVgm/wjs5UyB/fqysrDhw+DDVpeR4CUCcAnYF3Ny4NHo0W+/dY9OZM3j5+zOyUSNalClDZmdnMSEzQCozM/zU7ZHxwvGItyLeEXmkEpLe7drRpUULlq1fz6mLF0mfNi0je/embpUqhKRVThIOYGVpiZmZGe8jpOpVvh5vb29OnzmDk6NjggfD0jk5sWvKFE48eMCq3bt5/PIlXX74gWZVqlAwe3YooZzAFSCVnR3BwcGEhoaquQu/kZs39atu/Py8E7yueuXK0aBCBVZt2cK+C3rRj3Y1atCkfHkc7exk5QYglaUlfsFCIm6VL0ar1bL31ClCQkPxDwxM0ICdiYkNBQv+zg8/DOT8+WW8eXOdnDnrkTt3IzJlKs/9+/ISf3Nz/aqMkJD4Ua9LyVy7cYN3Xl54fyYFQXxRJGdOrq5ezeZ9+9h87Bi+/v6M69iRFlWqkNHFRRYnQN/H78VVsENFkaMRSeC9EkGZcUDHjnT/8UeWrlvHmatXKZ4/P+N69aJ2+fJYfKbN2Vpbo9Fo8FOVv78ZHx9Pbt06R7p0WRK8Lje3DGzdup9LJ/ewat06nr98SY9OnWjeuDH58+WTk/gDtrapCAjwV1+2xgtnIv71TvCaGpcpQ5OyZVlx9CgHL1zA2NiYznXq0LhCBX0wXkFtGvRBWnvVd4sXwsPDuHFjP2FhwYSGBiVwwM4O+AsYCiwDbgENgcZAWT63adLUVO+7hYWpvtu3cuHiRQICAvBO5C3lcUucYmmJsZUVP2TNyg+frqR7905UhNStXs3uoCBKGhl9LNO4KKbkLSCrzwgSIsWKKawye/xU+RySYyqpAErHRyo4fUKqo9uUy6VVZpI6rfCQfPvGDSYePMjQGjWoGD2R4W0hJ5H0sB2Z+TI2p+z1a5ytrRlaowZES3rO8+dYSstBnZ05dOkSISEheNjZRUm8hKZTVpKx9RVWXgqqU89NlBMx7xZW9Ddpolwu7TCN6w4lqelIu9uGDFF+GH+pjfm9zN7BuHG/4u/vz4YNB3ntpZ8MXCRlPEmhLnWEbFssQV6vghUJt7OjdGFPSjdqFPOAp0+U/9DOjt27d1Mgb17MtNoPfVhqf0JA75mzshrsyc3Kp4mr6r1SujXJREmBSFKDlcSrJFXZp8IQZW8fyqRJ7ShatA4VK/aK8rkGDFA+XiIwSP+WLTAsluThfn5YW1vTpWRJukRX1AoJ0cuVCW3t9cuXXHj0iI7583/8MKA01knyUsL46mKlrHrpaRJzRQjIopWCOK3YTToUETqzkGPMP6PyKjPrp7cUy8mi/OD21/6jnL56lfXrN2NVvAKRvdQySPmFh59fTAGnSHHN2N6R/Por2NrC7t05yZdvyucPjoavL9y+vQsTEytsbHJHdXFJ5E0aR6WpShq/pTzs0vlfVlWeHzq0FtTupHns/PmYZZHj6KcIDcr4pbCt0Nub7r17kytzZmb26hXl21jkclA83PhtLHOkpNAYiYkJJhYWNCpThkZlysQ8h3BTtAcOsPviRWq6uMDBgx8+qFz58/V9iuAvKb7kjavyspRDU0rPIKkYSpOJNEFIg4igBH358WNmnjnD2BIlKOng8MH3EsYEUco6Ui03toftN29Ia23NiN69Y34mvBAIdHZn587t6HQ68lWoQaCz3mezDFEO8Dm9E1Zevlb24XMKAYRffy2jWC41a+mWLF6nvOOkS3uh3yr1ccAtrXIuOHwFgxSeWQoVysCAAWMwMtKxbt1aIrS5sPYVlGyDlNv9PW/9Ssz37z8/j9vev4SdjQ3l8ual3LhxH3/o7S0+a7hbhXLm1A6KFilCJrdo3++sEOCT+ok0NkrPOEI/Ty0IZUYTNo6iaCblMV2KSUhuyJw5yuXRh7zoyJkrAoCO6AMonWM9fskS5fJIFc1YY+ZOTtja2NCjfn161K//8WdarRikfXrtGtdevGBgwYIfH6M0FknjqzROS46z0Pd9BoxTLE+1VMipKLU/oZ35lK2jWC50fbIIj/znzisHsi9f/pPHjy8xadIuMmf+MGZLbUopDXnk9OjvD3/+qfx3ADlzgrExODvnAabF+FwKV9y+DW/f7sbIyI7nz7NHufTS+CoJY0jxqcOHlcvz5VMul/qDNFRIi0CrV1cuVxIkdrh4QPlgwcgwoe89e2dJhx59yJ27AH0HzuDZO73YhLiuQfATIgXlwn2FAU+BOOWw+1rOabXc1ulolcCJlZM7Oy9epNrs2ZiZmNA3rg5zIrPywAGypE1LyUQQxkiuhISEMGbMABYtmkGNGj+QK1deQ5sk4uvry+YdO2jVrJmhTfmuefr0MsOHl8bf35sGDQZjbJx0x8x1V66gAZomsAp1cmfOvHn06dOdXLlyU6dOPUObI6LT6bh5cyVZs/6AmZmNoc35bnn5+jWN+vbl2IUL9GjePCqXVFLkmKcnjwMDaSUFuVS+iM1XrlB70yasTU3pXbCgoc35LGvXriRXrtwULFjI0KZ8twQFBTFwYG9+/30+DRo0IXt2IWCdBPD09GTHrl20+vFHQ5vyXRMUdB4oDfgBg4DES0YfV1bfuIG5iQmNIqPIKnFGp9Px99/TWbCgD9myFaZYMSF6lATQ6XS8f78SG5smGBkJL5pUYuXFi6e0b1+Py5fP0a5dT2xtv0SxN/5IlKfBteHhuACVhTePKp/n0Zs3lB09mqeenlTKmZOdvXvjmoSd/LDwcDYcO0bvevXU5fVfyerVSxg6tAtGRkYMHTqBbt3iuLwqkdm8YwdBQUH82LixoU35LgkNDWbBggZcu7YTN7dcjB9/gLx5K8T+hwZkzeXL1MyRg9TWMVd7qcTO/gMHqBKxarlDhy6MHfuLgS36PJ6e1/D0vE65cr8a2pTvlgHjxvG/xYtJ7eDAyqlTaZHAueu+lbVPn5LB0pKyCZxvLbly980bSv/vf7zx86N6xozMrVABR2llXhIgKCiILVv+Y/DgEarv9pUsWL6cniNHYmJiwoQJU+nRo4+hTfos/27ahFarpXnTpoY25btEqw3g2bM6BAYeBPIBRwA5dUxSYO2tW9TLkgW7BEy9kZw5fnwnffro5+769XvStq3yKsGkQnDwOUJD7+PistjQpny3jB7di+XL55MmjQuLFq2jTh1h614CkigBuzNaLRWMjTFRHYBYuXbvHsMXLCCXgwPDGzRg58WLLDt4kKeengBs7dkTqySeH+zOs2f4+PtTOYm/SU4KaLValiz5nQ0b1tGjx2gcHVOzb982pkwZBsCECbPp1KmXga2MnTPnz5MjWzYySPtCVaLw8nrJypXD8PcPpmXLBdy7d5zLl7dw7Zp+r+2oUTtxdlbePp5UCNdqOffsGZOkNekqH7H90CFmLFtG606dqFKpEtt27GDkmDEAVKpYkXnzfkvyD8gvX+pz82TIUNGwhnwHBAQFMX7VKi6/ecP8X37h6YsXbN+/n/8t1jvM/8yaRbkIpbGkzBkvLyqlSYNREm+bSYGLz58zcs8eCrm7M6BSJXZcv87vx4/zJmIL16a6dbFI4rtMbt68QUBAABUrJu0dHEmB8PBw5i9dyqadOxnfrx+2NjZs27ePEb/qX2jMnr2Idu06GdjK2Dlz9iz58ubFxcXF0KYkefz8nnH06FBevNDg7DyPwMBD+PltigjWAewChH19SYSQsDAuvXlDZ3VnxBexe/cmli2bTe3anShYsAxHj25j3jz981mlSg3p1WuegS2MnaCgM4AJlpZlDW1KksfPz48xv/7KxdtPmDhxIY8e3ePgwR0sXz4fgD/+2ESRIiUMYluieA/vdTpcVYcvVk5cvkzpzvq8B1uAWdu2ERoeTgF3d0Y2asTQBg2w+g4SAftF5PP4VElUJSYdOrRl9eqVABw8qN9jb2lpRZUqdfnxx87UrfuDIc37Yt77+an3+wvw8npBly4fHLozZ/QJwFKnzkzFij2pWXMozs5JX5kvKDSUMK0WY/Wex8qc5cvpO2kSAPsj8qUZGxtTpnRpmjdtSo9u3QgKT/rzY0jIe4yMTNDpdIY2JUkTEhpK9k6deB7xki1LREKiNE5OtG7UiP5dulDkO1HffB8WhrHqu8XKwfv3qRSRkGrbrVv8um8foeHhFE6fnjE1azKkalUsPpP0P6ng56fPHWpklHS38yUVmnbqxL/btwOw/8gRAKytrKhfrRrdWrWiQpN2hjTvi3n//j3Gxur9jg1f38csXfrhRer79/p87KamWbG374Oj4zDu31fOoZiU8A8JIVyrVV/CfAELF05l6lR9cO7ECf3zmbGxCYULl6NGjR9p0KAzXkK6y6SEVvsejcYkQlTG0NYkXYKCgnAvWpR3ETe1dGl9KpDUqZ1p3LgdnTsPIH9+w6kqJ0rAroSxMavCwvDU6XBSW4vIoE+yVE5t1YqmpUqRPvp2lO8gYFcka1Y0Gg1rDh2igvoWR8TLyysqWAfg4VGWHj2GUrZsVSyS8LYZJcqWLMmylSu5cu0a+fMm3Vx7hmbnzvkf/b9OnVF4eLTA1TV3kl9hFR1rc3PyODuz5vJlepUsqQZrP0NksA4ge7ZsjBoxgvr16pEqCac1UMLNrQxabRh37mwkb97v42HUEOw5fz4qWAfQoXlzurRsSYnChT/0k0RWF/taPBwc2PbyJT6hoaQyjUW8JgXTd+vWj/4/vUEDmhQqRLrvrI97eOhXDqxfvxoPj+KxHJ1yefnqVVSwDqBiqVIM6d6dyqVLYx6xzTAW7Z8kQ5nSpVm9di23bt0iZ86chjYnyXLhwsciCE5OY7G1bYGZ2fd1zRysrMju4MCamzfpUqDAd+V3JjaRwTqAbNny0779MMqWrYuNTeLmLvtWLC3LoNMF4e+/CVtbNc+4xJbdu6OCdQAtW3ajadMOFCzokSSeceIWsDMx0f/EUSWoQFgYC4FhgYH8DkQND9J5Sgr7/wVZxVQ24TELJaVZGyFZtiRPIqlxSm9LW7SI23kirsGpGzc4HiGDtOrnn2mRJcuHgTT6dZIUReK6FTFSaUy6TpGYmuolGJXqVZK7AYzTpMHZwYFF27fTrUULCkVI4EixRr8w5aX40s5foVqmT1cuX7pUuVwQHaZzZ+VySdFJysddu7Zy+Zo1+q2wGzfqVX4yZChAnz4bCQ3NxsuXsGHDh2OV1G4AfiwkTBjSlptIGZ9YAr59++pveYsWyjmLatZULi/vrn/z2KJNG86vWYN55M0T+tuuw5aK5ZL5DRool0tDiKQOqqSBInWpuKoFDxmiXB5po6fnYw4fXg1AkyaTePlyIO/fm7F//8fHd+yofJ4IseUYXL2qXB4Z8/3iGL/U4YSxMZOFBZsfPmTLkSP8kDnzhw+UpKoEJUSdmXIOFc31a4rlTsI4F2qh/GA8frxiMakCBKU+eyE5uCABZf1OUE2OuAbLN20C9KuNj65YQalIRaoXL/Q/EVgKymrXXqdRLFdSOItUw45NdCqjrRd2duHUrKmsSCop423apFdw3rWrPc+f18LUVK/QN3Gi8vGSLpIkGCqpbEnqyJLIvKQK/uCpcsAps+QTKCHIDN7Jos9F6Of3nql7ZwHQuHEHFo/pj0P0v4nsG0Kd0r1zkBT5IgcXUaIsgvfv9XVLfogQQMz7+DHLgfFbtjCdaL6bdHMlO6XJ1llB5VGa9IoVUy6XfLfly5XLpfstfSdJJTHi2h+9dYvLEdd1fZ8+NE6VSu+7hYbqVbZjs1NQTxRVaCPbU2y+m5GR/kdJxl7pugP2q5dia2HBvHmz6GZvQ75Im6V7In0n6eFGkCWUmq+kqGrmrLySSWreM+Yo9/2BfQQ5REH28Fb6KoSHhzNthl5dO39+D/73v3XkyJEJgOgtJUSwJWNGZdtju52xEvl8pnS/QSwv++YNAK3r1uX4kCGYRq62kxxbqY9LCA77ibPK9+ST2HcUSqqbS5cq+6OSOqU090h+ZKS/+ObNfR4+1DvmjRtP58WLPhgZxbQ/Uqn9U6T2LalrRnbPWNuEp6f+IKlioTyjnx97vbzYvXgxNaL7fUoXSBgrRMld6WLmyaNYnOriIeXjpYcBacwRfMxUZoGK5Rs2KD+D9IrIQLR+vT59haWlFX/+eRBLSw9AP0dHn6elS9+2rXJ5KmIqbmfLlirq3J9j8GB99xNCIeIzSGROxRcvWvPiRRVA32+kqbBiReVy6VlDesaQlHKrVlUunzJFuVyiZk3l8pxWCn65JH0b0Tl9fH1ZGCHR271dO6YMHEiqKKX2aOezEC6ao/K4+OixcjuLdPklpV4lEiVkGBm3WAJsSowKvzPWHjhAhX79KJ03L682buTHKlW++7ceuSICOIWlUSsFExwcwLx5Tdm6dQotWkxj4sSLuLhkM7RZ30SWiEDK9fv3GTprlmGNSYLcu3eKceOKo9NpmTjxCnXrDsfIKGnnooyNyhGOU4Ndu3gTqOwUpVS0Wi0/z5pFu+HD6dioEYHnz1OqUCFDm/VNaDQf3IXbt8sZ0JKkyfPnj/nxx7KcP3+MxYu3M3ny0o+Ddd8h9SP+nQnsMaQhSZS/jx6lyuTJVMiVi7cLF9KkePHv3nfLGvHiPb8UiU/B+Pv70bNnA5Yvn8XPP89h3bpTpE+fydBmfRORQdmzjx4xToqWpWDu3j3G1KklMDGxYOzYm1SrNlAxWPc9UT5itXRNX198lV6wpmDCw8OZOnUgY8Z0pUWLHpw65UP+/B6GNusbidzyHsqHiIxKJPcfPqRU7dpcuHKFvRs2sHDatGjBuqRDogTson9tYZFIiuXes2e0+uUXfihThn0zZuDsoLzq4XujZqlSUb8HBQcb0JKkx+bNE7lwYQt9+/5H7dqDvnsHH/QriMwinIAz15RXR6VUQkICmTu3IU5OGRg9+hTp0wuvf78zckYLRrz4DrbqJybrd+1i0u+/M3XgQJZMmIBZEhcK+lLs7OoAEBx828CWJC10Oh1Dh7bDy+sta9cep0KFpK3++qXYR/v9lqGMSKLcePaMdr/9RvOSJdk9bBhOtraGNile+KHAhxw9YeEKu1dSMHPmjOL48T0sWrSVNm16JwvfLXoe2rOPHhnQkqRHUJAfCxf+gLNzdoYOPUnatN/X9leJfNFyFr5Sc9J+xJYtK/jrr5kMHz6bUaPmY5LEhYK+nEoR/8Zx61AyR6fT0apHD/wDAji5YwdVypc3tEkiiRKwSwW4Rfye9GKWhsPXz48fRo0iXerULBk0CItk8lAHUKFw4ajfteqEEMXDh1vYtu1XatUaSJEi9WP/g++IFjX028LSq2pjUWi1WhYu/BF/fy+6dPkbOzthe8F3SOFoKRBC1be0UVy/fZvu48ZRs2xZhnTqlCwe6iKxs9P3cSOjOGwjTQHMmTOWU6cOMnbsAnLkSB4BeQBn9P4bQBw3wiVrvPz8aPC//5E5TRoWdeiAWbJ5qIOK0bbFqb7bBzYcPszy5bPp1m0E5csnj4B8JE0itou5fecrguOT8PBwFi9uSlhYEB06rMDGRnn77feIR7TxKlTt41G8fXuJX37pTdWqDWnTpk+y8t0gcv9o0lYxTmyGjh/PyXPn+H36dHJmS9o73RIlYKcBOqB3/FonRoXfAVqtls7jxvH49Wt2TZ2KbVzzQiRxSuTNSxoHB7o3bIjVdyagkFB4e99h3762FCpUlyZNkt92k/oRiQ+GS0nYUiB79kziwoVN9Oy5nnTpFBLofce4WFlRxc2Nki4uFBHyl6Y0vH18aNqjB27OzqyZMcPQ5sQ7dnZ6py9DhnkGtiTpsHnXLubPH0///r9Qter3oer9pRgBnYHUQHMD25JUCAsPp/2cObz29WXXkCFYmSvn4fxeKZM1K/aWlvSrXDlZBSK/heuPHtFh2jRq1WpGjx4jDW1OvPNDwYIADKpWzcCWJB1+/30M16/vplu3f0mTRjk/2vdKemNjypiYUNHUlDxqHwcgKOgdu3Y1JUOGrEyeLOQ//a6JfMnwv88elZJY/99/TJs/nxnjxlFDymGbhEi0nuqLfhe1usJOH6zrPnEiG/ftY/3o0eR2d4/9j74zwsLDCQwOxj6ZbBP5Vnx9H7BpU2UsLdPSpcufGBkZx/5H3xm+EclmHZLg3n9DcPjwPLZtG0WDBmMpVKiuoc1JEHxDQnCysEhmbyK/jvd+ftRq144Xr19zbMUKUiXDsU+r1fdxY2N7wxqSRNh7+DDNunalevVGdOs2LPY/+A7xRe8oWhvakCSAVqul49y5bDt7lk39+5NNEIv5ngkJCyMoLAx7S+Vk2SmNO0+fUmXwYDKnTcv48YuThFpgfOMbGIhGo5HFbVIYK1ZMZ9myX2jYcCp58iTPIKavTke2ZNiWv4bgYG+2bKlOSIg3//vfdqytk+MOgvcR/9ob0ogkw7Zdu2jVpQstGzWif/fuhjbni4hbwM7O7vMKQYLSGEBVYA7wgg/bY0V5DGlFVtmyisXhxAx+GEuKILeF3DvSwBVH5URRMiZC1kWn0/HzqlUs+e8//uzZk0Y2NsqSf9K1lK6ZJI8l8aVKY2nSgK2tsgyMpJ52+DBmQHkXF64ePRqlMpSqhXJzSyW1qTi++WnUKLtiubQlXfrqkqLT9u3K5ZLGQuSt8vV9y88/V8XW1oKxY/dhZ2eveLyS8LB0u89ky61YLt2Sms301ybc11eWwUWvQmRjIwuESaptWFhQtUIFAK4+fox7hGJTaJ6CioeXFq69bYin8gfR1faiI6iGmpkpP14qKa1K6dckJSZJtTK6QPTGjavYsKE3PXoMZP5PjdFoYub1a9Agr+J5jh5VPr+kKBabmFasC0CCg8HYWG74nymv5urK8nv3Pj7m5MkYhwYWKhWjDMDy7Rvlc0tbbIV2YJRJWSVWGu7Tp1dW6gsR+o+7ndBgI4LTISEhNGrblut377Jv0yZCHCpySeGySf05nxDjzhukrEKbt7zC9THR3/BQk1Dlk0ViYQEWFjgKU5u0K0A/TRUGHLl//yqgX00WKTj+peeRBEOlaaC1sCxfEqObJyz+k6byRo0KK5YrNXu/aGPCjRvn6Ny5HcWKVWHz2EGY+11Q+APBrxBeakjtY/1e5eBvyZL68vdmscjLBQXp+7g02Enjq5ER1XQ6Fut0vNNocIoMzEuS1ZIMo1Sv0qQXF9VekGXjW7ZULlcYnz57noiGptPpGLBoESsPH2bVsGHUcXZWvm6Soqo0UF+8qFwujbuRA3ts+eW0WnkcleQInz/HGijt5sbV+/c/dFZBgVFssNL9FlZiW9+/ony84KQZC9emYkXll98bNiiffsdeZfGA+/erAODr+4pp0zpgbu5Cy64HOXtWuR8qmVOypHKdkmsvuDJRvlhsCpI8fqwfRKWBURp4g4KoZm+PTqfj+qVLpI1sv1IwOlqOw+j42LgplpsJTURq9tLjX79+Mcsk3z6r3yXlD9IKjm20SpctX86cOYP5ecgQatRVlt0cJrybUXqUAxg7Vrk8tmsQq4Lk+/f6cUAaK6S28PYtVYGt4eEfj2FKX6Cu8LL57FnlcmmileYYadyV1GmlMU1S2xaOj+xP4eHB7Nv3Az4+D6hW7QCjRik7LtImEkmRePNm5fI2jWLOA5rNejlOTSy5oJs00bsOks+1apVyub6dlUKf2OIqUB2Qu7h0S2IRTI+BUp8F+VpKt/bXX5XLq1dXLr95M0OMsnT2H34/deoEjdu2pUaNOvw5d67yggNpwFXyWUD8UumEZ/VIxV3p2imRaOH1yMd2oYsne3Q6HVvPnqXE8OFM+fdfprRqRVtJOzmZUCBNGs6+emVoMwyGv78369aNpU+fbPj5eTFy5B4cHZNv/gA3FxccU6XiXAoWnbhw4QytWtWlR49WNGrUkrFjpyXr1WcFHB156u/PqxSqEhscHMyipUvJXqQIB44c4d+//6ZYYeUAUPKhAHDO0EYYjKdP7zNhQmfaty9J5sy5mTp1A+bJKP/sp0Q+nqfUO67Vavn36FGK/PQTs//9l/9160bz5O67OTtz7oXwci4F4OfnyZYtIxk/PjuhoUH07LkbW9vkk3/2UzKlSoWNmRlnU/A9P3HqFDXr16dj9+50aNOGCWPGGNqkBKUgcAfwNrAdhiI8PIhbt+axaVNW3r49QcWKm3FwUA5GJw80QH5SbhQG7t69Q/fu7alZsxwFChRm2bI1mJp+P4rPiRawy4B+O+zVxKowCfHe359q48dTb8oUzE1M2DN6NIN/SF65bpQokCYNL/39eZsCFSQvX95Hr15Z2LRpKhUrdmDmzGs4O2cytFkJipGREfmyZ+eKtKwpGaPVahk0qDs1ahTnwYO7zJ//N/Pm/ZWsg3WgD9gBXPXyMrAlic/tu3fJW7IkPw0cSOkSJbh09CiVI1aZJm8KkDJnclizZg6NG+fkyJEt9O49hcWLD2Nhkby3DmYDLEiZd9zb15eKgwbRaPx47G1sODBtGn0aNjS0WQlOfmdnHnp78z442NCmJDpnzuxg7NgsHDjwP8qU6caIEVdwcBCWvyUTTI2Nye3kxNU3wor3ZEx4eDgdunaldKVKPHn2jDXLl7N4wYJk77vlj/hXWCudrLl+4wabN+fi7Nm+uLhUpk6dKzg7lzG0WYlAyvXdZs+eRrFiudi/fze//DKDrVv3Y/6d5Z9NtBx2GqA8sBP4ObEqTQKEhYXRYtQozty7x46ff6ZGoULJfiKIpHzEGv9dDx/SKk8eA1uTeDx8eJkpUxqQI0cpevVajr198stzI1Hew4P5q1YREhKCWTJedfIpO3aM4ODB35k6dQFt23bF2Dj55ShUImeqVDhbWLDz6VOqSGkCkiFvPT2p1awZpqamXD1xgjy5kpegyOcpjz7BxT0gq4FtSTy2bl3N9Ol9+fHHfvTs+QsWFikj35OxRkNZnY4dOh0DUojvAhAaGkqTvn25+ugRe6dOpUqyXzn7gfIZM6IDdt+/T+Pcylt6kiN37pxj0qTGZM9ehVat/kjWq+o+pXzGjKy8epVwrRbjFJLbTKfTMXDkSP5evZolCxbQoW3bZJmjUIkC6IUgdwKlDWxLYvLy1StqNWqEqWkq6tW7gZ2dkMYhWVIeWAw8I1pysmTPxo3LGDVqCP37D2X48LFYfKdCmIk6MrUAjqJ381MCwSEhtBg1il2nTrFuwABqFi6cYoJ1AG62tpRxc2O5lO8mGXL//gXGjq2Kq2s2Bg36J0UF6wCa16qFl48P2w4dMrQpiYJOp2PnztEcODCVsWOn06FDjxQTrAMw0mhomjkzK+/dI0xKQJHMePHyJZV/+IH3fn7sWL8+hQXrQK82ZgskRyU1ZbZtW8OwYW2pU6ctAwbMTDHBukiaazTsA57odIY2JVEIDAqicZ8+HD57ln9Gj05RwTqAbI6OFHV1ZfkVIbdcMuTWrdOMHFkdd/f8dOy4LkUF6wBa5MnDS39/9jx4YGhTEgWtVsuwceOY/dtvzJk+nU7t26eYYB3oV+s0Af4GUobnBk+fPaNSrVqEhoZSqdKOFBasA6gHWKK/6ymDf//9i1GjOtOhQ1fGjp383QbrIJEDdpEbCfYnZqUG4uTVq3h06MCWo0fZOHkyNQoVMrRJBqFhtmzsffQIXTJ39ENDg/nvv2mMGFGaNGncGTNmDxYWyVFp6PPky5GDbO7u7D1xwtCmJDienvdZsqQWe/dOoHbtyfToIahRJHMaurvzIjCQG58RHUoOaLVa1v7zDwXLl8fTy4uDmzeTWUown6yxAmoAew1tSILj5eXJ6NHdGDjwR+rU+ZFRo/5IUS/dImkE6ICDBrYjMTh67hxFGzdm74kTbF6wgIoFlYWTkjsNc+ZkbwoI3oSEBLF27SQGDy5H+vQ5mTBhJ2ZmyXubuxJF06Ylva1tigjY3b57l2qNGvHrnDnMmjSJn7p1M7RJBqEh8BAQNAySDVqtlr9Xr6ZgqVIEBAZyaOdOrK2T9zZ3ZVIBlUkJvtu7d28YMaIjw4e3p3Hjjsyc+f1vc4/bllhLS70KkaQYJb2diFB7sQLSv33LDXNzvfLoXuVG49W6t2L5/cvKp1dUaTFRXuViLCl1SepmkpSosJrk5LlzjPvrL3aePk2hbNk4vXAhBbNlg5s3lc8jqcpKijeSGpC0uiVSDfZTIr+XdL5IvLwgVFAdlGyMpqKSKzwcrU7HnevXySGoS3H6tHK5JBsoqAeZPlZeu+kqnMfHUVkpUhKHUVI91GqD2bDhd3bsmIq393OqVetHw4YT0WqtRPUX6fxKz/7SpZGoWVO53Fgb+tG/Eq6u+q7pYC8EWO8KXyqa3FCuXLm48eQJpE2L6f5dioebSluk46gMLEmuuaOsSNW1a0wVuatCSgdJ6dvC4h5Tp05gzZoVuLikZePGbdSoURvrh8piG7o8ymqwNkKXlXaWSspK0rAbmwB0FJE5JiVJsljG9VyW+oebGzod+Z2dFeV1LS2E9mRir1wu2SKoa0rDn4f9HeUPnnorlyvMAzqdjvVr1zFh1iyu3LxJw5o1WTBpEmmdnUWltILSdnApn2eQICkoHa8wGAWG6Oe8wLDPJ9F96WOJv9aSu3eVP5emhAULPvy+ZUsuDh8+wNSp4Tg7K8+15iHvFcuLF1dWWpS6vtTupVjpf/8pl0vTiVLKTV9fT9avn8bWrfMB6NlzAbVqdePhQ+W+ULSssJJa+lKCBHWasFuK5c+f51Qsj/yusWq+vHyp99+kmytNShEdyx5Ig76Po9PJSquSoqB0s5TsEcabQJSDKL+vUC7v+5MgvSxc+6MnTjB20SL2nTpFsTx5OLNiBXmzZUPsKNIYJeVwjassvXT+SJ8xtvxykcrASo6INKZHqzOXvT0BoaE89vQkoyRLKE1WknSiJDMoKQML4194WuXtXOUyKs8zN2/GfFALDQ1iyZKF7N37K+/fv6ZKlUHUqTOON28sRKFLSXhY6dZKXeoLLv1HmD5/pP/3vfJ4+pERRkbyiaR79fIloE9blMvZmZve3vrBMo5K0KmEi/bIO41iuaQiLnRPRd9WEhIlk3L7u7VrFxMWLmT19u2kd3Fh95IlVCtdmvdhymOIZOPWrcrlkurriBFxO75BA/2/gYGyGCugHztMTOR7LjlGEbsCcoWEwP373HBzI5utLRw+HPNYaUyXFqFIDz5SeXw9CxQrFqNIp9Mxd8km5s2byJ0716lTpxnjx8/DzD4N9esrn0bpEoD8nDBzpnJ57oc7lD8YuTtmWeT8GIvTrrl+DY2NDVmFQWTYMOVnjd9///D7nTu5ePVqNWXK6LCxUQ5gSc1GCv1I6siSCq2koC25FcvjsJnD1/c1EydOZcOGRZiYmDB69BJ++KEjt24pf9cSOYR2JvkscfTtpVv6xUrQ0Ui0HHaRVDczY3dsQaLvkPDwcMatWsXENWvI4+7O6lGjaFqxYoraHqdEhTRpMDUyYvfLlyS3xcdBQQ+5caMZx46do2TJVtStOwJX15S2PS4m1StXZuDIkQQEBJDcNo5t3/43v/7aHTu7VEyaNIMOHbpgJUUCUghutrbkSZ2a3Q8e0CyZ5Tvy8fGhU+/ebNy8mWrlyzP/l18oV6KEoc0yOLlzV2fHjok8eXIBiOkof89cvXqESZOaExj4nnr1etOwYX9SpVJ+6EwpGAHVgD3AJAPbEt+EhYcz8s8/mbp2LQVz5GD9tGk0qlIlRW2PU6JypkwYaTTsefiQTvnzx/4H3xGvX9/lt9+a8uzZVYoXb0ONGiNIk0aIzqQgqmXLxrj9+wkJC0t2OYiX/PEHvfv0IbWDA3NGjKBT48ZYfGdJ5+ObrGZmZDY1Zbe/P/VslV+kfa94eXnRrksXtmzfTqVKtZk69Q+KFBEiRSkIR8fqPHkyA3//64BygO975fr1/SxY8CNabRBt2gzkxx/7Ym/vZGiz4o1ED9h5mJryV1AQYTpd4leegExet45f1q5lQseODG/VKsU7e5HYmJqSx86Oa9Lrxu8UrTaIy5erotOFM3LkKTJnTl4Prd+CR5EihIaGcufePZLTZqIjR7YydmxbWrVqx8yZ87G2tja0SUkGj7RpufZWeVXj90yrrl05cuIEG3//nUa1axvanCRDxoz68e7Fi2skp4Dd8+d3GT68GrlylWDo0DU4CquwUyIewL/ot8Z+3xtLPmbs8uVMX7+eaf37M6BNG9V3i8DBwoJsDg7JblwPDvZnxozKmJqaM2TIWdKnT05eyrfh4eZGQGgoD729ySEuX/v+WL9hA126daNr06bMGj4cy+84j1V842FhwbVktohGp9PRpFUrLly6xNKlW6lcuY6hTUoy2Nl5AODvf43kFLB7+vQa06bVIFeuisyevRJHx+QzfkWS6J5JVmNjwoHHySxB+fazZymWLRs/qw5fDLJaW3NPWg79nRIQcJugoHu4u49Wg3WfkDVzZgDuJbNcKMeObcPa2pY5c35Tg3WfkNXBgfvJLIddWFgYu/bto/2PP6rBuk8wM7MkVap0vH2bvLLfXLiwj9DQYPr1W6IG6z4hKxAIvDS0IfHMttOnKZM3L4PatVN9t0/Iam/PPS8vQ5sRrzx7dhUvryfUrz9BDdZ9QlZHRwDuSeluvlO279iBk5MT80aOVIN1n5DVzIx7ySxgFxgYyIFDh+jasaMarPsEU1MHTEwcCAxMXvKf167tJTw8jE6d/kiWwTowQMAuS4RDdD88PLGrTlDK58vHpQcPkr24wteQxcaG+/7+hjYjXrG2zoeJiQN+fhcNbUqSI7WTEzY2Ntx/9MjQpsQrRYpUwN//PQ8eJK8gRXyQxd6e1wEB+CUjx8/ExIQyJUpwMQUpJcaF1KmzJLuAXaFClQG4c+ecgS1JekSmr0ledxwqFCjAJSlHWwoni7099318DG1GvOLuXhQzMyuePr1oaFOSHG52dpgaG3M/mQXsypcrh6enJ8+kHIopmCympjwJCyMkGT27WllZ4VG0KBcvXTK0KUkSS8ssBAYmrzkvV64KADx6JCTUSwYkesAuo7ExRiSfgN37gADmb9nCbzt20KBUqe9ehSQhyGJtzSN/f8Likl0xCePvf41bt9oSFuZF6tQNY/+DFIZGoyGLuzv3JUGV74zQ0BD27FnHwoU/kzlzbnLkUE4An5LJEiFu8yCZrLJ79vw5w8aO5ciJEzSUki6ncJJTwE6n03Hx4n5mzGiPlZVtVOBO5QOZI/5NHnccfPz9mf3vvyzdtYuGZcoY2pwkSRZ7e+57eyebF9FPnlxiyZKWhIQEULDgD4Y2J8lhbGREJnt77ieTVZXBwcGsWr2asePHU6hQIdwl4Y0UTBZTU3TAI0lc8Dvj8ZMnDBo+nNNnz9JQUpZI4VhaZiEoKHnM5FqtlitXdrNsWVesrR3ImbO8oU1KMOKWRi59er2EpLSKokgR5fJ+/aJ+NQVyzZrFUTc3um7erHi4g6/yypyiBZQHW51JTFU8KTZkLA3Y0hulT5RCFm7YwKKNG7E0NsbB1pajV68SEBzMj5UqMadnz48UUj9CKpdUAKUtpNJWYklKTyLyPLFtTb5+Xa8YpfQgLr2t+uTi57OxIUyn4/TJk5RWkoeJq/yllORfOo8gO5UqRLmdGTl+UBL18fGhd+/O3Lx5HQuLtAQF+XPz5ikcHFwYMGAp1atXFM2R1J2ky6YU37osKCPnErQtJGGlcCPTj/6VMDePUK8ROpAuW3bF8k+ba848BTl88jS61q2Vg9hSXpyMGZXL4yqtJkjzOPjFVHItl8X+o//vOniQUdOmoQ0NxdnJiQs3bvDy7VsqlyjBb2PGYLv7X+U6BVUhzcsXiuXGQt8vnF5QNxSSQHuGpVIsj7w0sYnLYWSk/5G2ikiNKprqc84sWTBeuZKjOh35lWSzImXPPkVSGovYmhMDod2Y2isfHp5Fub3qEzPo0Wq19B84kL379uFkZ4epqSmHjh/Hwtycn/v1o3eHDvBC+R7GWdpUSuQtDCIv7JSDw6kVhu3IRUKxZR8wMdH/SEO/NL1/KvJdtGg+li7dwO3bflhZxVR5TFNA+TtJ6UylqVmK+0tDiBRfjT6FPXp0nXnzevL+/TuCglzx87uPr+8d7O3zUqHCNnbudKZjx5jnKFtW+dw+WmXVylRXjyn/gXSRBbXMvr2EF5wRN9HXN5ShQ5UPAfR+hk4nXzRpEite/MMhQOZLlzhqZ0cbSRZOOr+kAqrUz4U+Ymmi/EDZt73yOOrp+/G4+Ntvs1m58g/Mza2xs7Pn9OnDhIaG0KBBawaMngUIPtrNm8rl0kT+Utg0LF3jiJcdMZDGlsjy2IJoXl6ykqw0b37iWOQLCyNg/34uLl1KYaWk9JLPL0l9xvWlrdRuJKINap6ennTp1o3bd+6QJk1afHx8uHDhLGnTurJ48QqaNy/FwYPKp6lXV7i2wuBqbR/z3jr5Cu1JYawE5HYWeS2lZ4VItFr9j9SepIH3k3uYL2dOjr55Iw/IUh8X2qu7o7Lv5p5H2Uerlk/w9ZSe0T65xFsOHmTcggVgZISzkxNnr17ljacn1cuVY9HEiWgsldVgbf2U5/e3QcppET6dCyPZrSAACrBunXK5dJ41a/T/xtpd3r7V+23SWJQ+vXJ5tEkyj78/moULOZo9O9l37Yp57Bc+G0chSYlKL3Mln0i6ONEIDw+n1+DBHD5+HGtbZ4yMjDhz5jCWltb07TueitV7ipdGUgCWVF+llI7io/dFb+Vype979Kj+39iCpg8f6ucR4ZrlyaOck6569Y//b2SUj6NHZ7JuXSBmZjH7xKfHRxLX0I/UfqUmFc3d+IjozfjWrUtMntwbf39fXFxcefjwDo8f3yN37oL8+ed2Chd2VDy/GKuX2qX0PCSpZwuSuLZmyuNl7hz6fuLr++WL1wySsKNlwYJsvHqV2J4jkxov3r6l97RppHVyIo+7OxqNhgFNmvBo5UpWDB+Oo53woJ3CKePkRAZLS/78+29DmxJnfvttLtu2baJs2YrY2aXG0dGVESPWsnz5Y6pX72Bo85IsTZu25Nq1K1y4c8fQpsQJrVZL58GDCQsPp2jevBgbGdGkenWu/Psv+/74g2xSQDGF42hjQ62CBfnz8GFDmxJntm/fzpy5cylWtCgZ3dywMDdnzi+/8PzKFcYPG5bilb4lKlduTnBwIHv2rDe0KXFmyZIhPHt2h7x5y2JiYknq1CWoWfMgP/xwBReXcoY2L8nS0smJte/eEWhoQ+LIkyePGDmyP+nSpSdr1lxoNBq6dx/KsWOPmD59GXZ2yi89UjqVcuXCxc6OP6UgZBJm5v/+x46dO6lQvjwODo6kT5+Bv//ewLVrj2jevJWhzUuytKxYkdO3b3Pj+XNDmxInQkND6Tx6NBqNhiL58mFkZETLevW4vns3u/76i8wZMhjaxCRJWmtrKmfMyJ/XYr7MTur8s2ULi5YupUTRoqRNmx5LS2vGjl3I0aPP6dlzlJqTVKBQoR8JCvLh3Ln/DG1KnJk2bQAvXz6mYMHSmJmZU6xYWdauPcrmzRcoXDh5qwAbRKi1RYECjNyzh7VAZ0MYEAd0Oh3BISFYmJuzaudOjDQa1kyahEMyE81ISIw0GpqnT8+yzZuZOnEiDg4Ohjbps4SEhGBsbIxOp2Pt2hU0btyCmTPnc/y4oS37fqhatQb29vYs3b6dIjlyGNqcWAkKCsLCwoL9x47x9MUL1i5cSGnpFZyKIi1KlaL1ggVcAfIb2phYCAsLQ6fTYWJiwp/Ll5M/f37+WrZMfvWnEoO0aTOSP38ZNm1aSr16ST9hf0hIEKam5rx795IzZ3by009zqF//J1atMrRl3w8tHB355flz/gGSeshDq9USEhKChYUF69b9jYWFBYsXr0WjUVgppqKIqYkJTTw8WHfkCBMzZ8ZWWvWXRAgODsbU1JSwsDBWrVlDm9atmT93Lu8D1JcuX0q9EiWwMjdn6eHDTGvRwtDmxEpQcDAW5ubsOnaM1+/esWPRIooUU4Xg4kKLXLnouns3t4Gk7q1H993+Wr2a4kWLsnT+fO68Vl+6fCmpU2fHza0ohw8vpWTJFkk+lVdwcBBmZuY8f/6IM2cOMG7cHzRo0EFctJ5cMYiHndXJiZYFCzIQeGMIA76AsLAwpv/2GzkaNcKqbFksy5Rh8OzZtKxZEwd1JV2c6Z01K2FhYQwcNszQpojcffiQdgMGkCGDPU5OZqRPn4r79+/SoUNXQ5v23WFiYsKAAcOZ/99/nEzCb+5WbdtG8Tp1sMyWDYusWanVpg2F8ualVNGihjbtu6NR8eLkcXOjPZBUMx69e/eOgQMHkNbNDXMrK2zt7dn4zz/07NHD0KZ9l7RrN5KLF4/y339/GNoUkfPnD9G3by3q1bOibl0L2rbNhI2NPRUqNDO0ad8deS0taejgQB/A29DGCISGhjLlf/+jWLGsZMhgRYYMVkyePIrmzdthq7StU+Wz9K9RA7/wcIYlYWGOmzdv0rZta1I5OmJqYYFD6tQ8e/aMLp06Gdq07w5zU1OGNm3KzF27uJhEhcN0Oh3LN22iaLNmWBYtimXRojTo25eSBQtSOHduQ5v33dEiVy6yOTjQgaTru715+5Y+Q4bgnC0b5s7O2KZPz7Zdu/hJ7eNfReXKo7h2bS/Hj68wtCkiFy/u4+efq1O8uBXFillQv35OHB2dqVKlkaFNMwgGeyU+p149QgAP4K6hjPgMA8aPZ9iUKZQuUICWNWsSFBxM7syZWTxypKFN+y7JaGXFmBEjWPb33wwbNcrQ5sTAy8eHMk2acPDUKQYMGI6LS1oCAgKYMGEapUoJiYtUPkufPoPIlTEjlfr359DFi4Y2JwZL//mHVkOHktrRkYHduhEcHIy5mRm7Vq5M8m+ckiKWZmbMbd+e80ADIKnpQmu1WurUqcVffy2jfdu2lCpZEn9/f9q1bUu3rmpQ/msoUaIG1ao1ZeLErmzdutzQ5sTg6tVT9OxZBS+vN7RpM5bQ0BBCQ0MYN24zqVLFMe+rChqNhvnu7vgAxYGHBrZHiZ6DBjF60iTKlq1E/fpNCQwMJH/+wkydOs/Qpn2XZHV2ZnjGjCx4/pwxDx4Y2pwYvHnzhvLly3DixHFGjhiBk5MTAQEBzJk1Cw8PD0Ob910yonlz3FOnptzkyRxPgmlNFq5dS7uff8bN2Zm+rVsTFByMrbU12xcsUH23r8DGzIxZlSpxHGgBKGcXNBzh4eFUa9CAlevX06VdO4oWKoS/vz/dOnSgXcuWhjbvuyRv3h8oXLgev/3WlpMn1xjanBhcuXKYkSOrExDgS9euo6J8t/nzt2NrmzJXUxpsfbuTlRXdgNnAQmCGoQxR4NHTpyxauZJfBg9maJMm6HQ6Zg0ciIWZGaZJfEtAUqZ7584MGDqUqTNmMHzQIFKlSjqdbvbSpbz38+Pi9u3Y5PJgwIBhvHnzGldXVVXqazEyMmJOnz5UHzSIztOmcWflSkObFEVwSAhjFyygRa1arF68GIBRffsSHh6OYxLfsp2UqZQnD6mAzcB19C9kkgqbN2/izJnT7Nt3kMoVyhIeHs6rV69wlrIJq3wRfftOY8+e9Ywe3Y7atVsnqa2xv/02Gnf3XCxdehI/PxOaNBlEYOB7HBxcDG3ad4urmRltgWXA30BSev125949/vj7b2b+8gutuwxDp9Mxdeo8rKys1VyU30AfNzd+fvCA8Y8eMThDBmySkB88Y8Z0QkJCOH78FGnTODJ0yBBev35NOlUR9KsxMTZmRosWNJo7lx7Ll3NpwgRDmxRFQGAg4xcupEODBiydOBGAsT/9BIC9uvvpq6mVOTMaYB0wBshjYHuis+7ff7l09Son9+6lRLFiet/t9Wuc06QxtGnfNS1bzuTChS0sWPAjJUo0TzLBbp1Ox99/jyJLlsJMn34Md3djOnYcSkCAH05OKddfj9usa2Gh/5EU/KTBUpBRGYs+YDcTmA5ENZWTJ5XPI+UlyJI1RpGkZmIqPUxEc0Cm/vYbqWxt6dVZn2FPA6T+9CFekuKTyiW5FCkXnnQtpWsvnUeqN1JlJjalseBgvYKk0veSEhEL19jywQO6NWrEb//8w8Du3VkSudJOUhuS7pV0bSQVLOmBPEIdxvf9e2YtW0b31q1xTZsWtD5gDI5pbUDnG7VGvGJF5QCjJDKzdatyuSAmo6hmJB0rfaU5c5TLBwzQ/xubgqRt4GtsTQLhrbIimUboWLZ3ldfJ5ms5EAYN4u6zZ5yzyUq6dHq5H1cE1U2pHUtqcdI9l5SnItrUX//8w9NXrxjdu3dUWapP1dUktTVJEklQppX67HsbZQUy24BXiuXP/JTbn6SCFXnJYrvnODiAtbX8faVyhX6rAZbNm0ejEyeoY27O63r19B9ICrchylvUnARJovC0ymqcEtHzZo8dO4HSpSuRPXsF0IZirNGQLrKDRbY7abyU1NYE7vkqO5LSpXx5W7lcEuRTmiIjp7DYxART+97HTmdL6dIx502Aq1eV/07qUiYm7piYmBIWFsr+/VspX74+AF6+ygESB78niuVhVspJwSXV19OnlcsjBdnv3DnNqVO7GTBgLc+fm0RMV1aAFW+i5eKQ7smUKTHLRoxQPla6Ty9fllEsl9RmswiaNsKlJ0yrv8bB2s+rf+PvD+Hh8hglBWCEdj/59GmWAaP5JGAXqXb3hedRbFTSpCcpl0cTjJg0dx4uLi507dsPS1/9OJraHuA9hOnHFKeHghqnJEcsjQlxVeOUJm2pY0nXLHKsCoxF+sPfX3+skv1Srs48yo/pNpcv08LEhDVhYYw6fZr/RSroSfe7pJD8W5JUlHw6wQeMnNO8vN6xYME8evToh6VlGq5cBzAGMvLO58PxUq4j6ZEiOET5wdVc8H/CrWLOY2J4WBosJFXCyPLY8mZnyaKf9KUJQGhnuuo1FMsbAsydy+UnT3hrbk7qyBfsksMrPZtIbU36PtLNirgOS9au5a23NyP79Ikqs//02knXQOqzQjvLbKOctOn8eeX5vXt35dNLt1ZSKY4cKgID5WMAMDbWj91xDVQqKLBqgL+AtsAPQNS6SskhkMZp4Rr7OGdXLJdMj+xqOp2O8dNnULNmbQqVrQIEYwyky5z5o+Ol5ic9Rko5yaXwgxRTkB5ffx7SRPkDpXkmUllXUvWOxNxc35iE+Tp/DuW/f/vWXLG8fPlsDB6s/93FZR9Vq1YFwPit8jMIdoKfIFz8cK3yOGqsVVbDzWCv908OHT3K1auH2bx2LXUrBKCzsSXSd4uOlKWhUKGYZZLrg00m5XLpDyThQWmck1STIx/c3n+5/KpBX4XbAxUMaYDA9n37aNOkCdYpLaNhIjA2YuuZUxJaXXf83Dl8fH3p3rq1oU1JlvTrp3+ks7CIKR9uKLYfOkTFEiXIrQpLxDu1Ixy57FKQ1QC8fv2Sq1cv0KqV4FGrfBMzZujfTpibJ50+fv78dmxtnShZUnCcVb4aZyAppnXfsWM77dq1x0J6Qlb5aqZFXFOHJLIKA+DYscMEBATQoYM6ricE/Rs0APR57ZIK2w8epEa5cmSRHpxVvprGEf9mMqQRn/Dw4UNu3rxBly5qH08INm78FyBJzZnbd+/GLV066tasaWhTkhQG37syPOLfTQa14gOhoaE8evqUXOqDfIKQNnVqGlSsyD8HDuAb69KfxOHuw4cYGxuTTXpVovJNtGnTDSMjI5YunWtoU6K4+/gxuaQ3HyrfhLmxMWNy5+aStzd3k0gff/hQvwI0W7ZcBrYkeeLhUZXUqV3555+FaJOIgvrLl3dxdc2RpLboJhc0wM8Rv+8ypCHR8PPz49WrV+TKpfbxhCC9kRE1jI1ZGxqKf2w7MxKJBw/uYm1tjZtb3FZAq3wZvSJWyC/Yts3AlnzgzsOHqu+WQFgBQ4EzQFKRG7l3T++75cypjusJQZ06dXF0dGTRogXoksi4fvf+fXJmz55ktugmFQzuyVZHv/S6NUlDfMLU1JR0adPy+NkzQ5uSbJnauzev372j3dixSWKAcHdzIzw8nOevhGXAKt+Eq6sb/fuPZubMcezfv8PQ5gDgni4dj6Pvl1SJVwbkyEE6S0vqHTtGYHi4oc0hfXp3AJ49e2xgS5InRkZGDBo0n8OH/2PFimmGNgeA1Kkz4umpvP1W5dupD9QCmpE0Hu6sra1xcHDgyRP1nicU0y0seKTV0jm27biJRPr0GfH398fLS9iOpPJNZHF1ZVjTpgz/808OXLpkaHMAvb+u+m4JxxDAEf222Fg2aCYK7u563+3xY9V3SwhMTEyYM2cea9asZu5cIadSIuOeIQOP1Xk8BgYP2GmA5YAL0JSkoSxYNH9+jkoJclS+mRzu7vw5diz/HTzIrFWrDG0ORfLnB+DomTMGtiT5MmDAaCpWrEG/fu158uShoc2haL58nLh4kTApP5HKN2Fnasp/pUvz0N+f7ufPGzww7+qaHienNJw5I+RcUvlmKlZsSKtWg/n991GcP3/I0OaQNWtRPD2f8vr1Q0ObkiwxAlYBqdAH7QytLKjRaChatCjHjql9PKHIZ2zMYktL1oSFsVBK6pSIFCpUFIATJ9R7nlD80q4dFfLnp/X06TyV8u8lIkXz5ePY+fNJZiV3csMR+Ae9aFhfA9sCkDlzFlKlSsXx42ofTyhatPiR3r37MHz4UE6cOGFocyhaqBB379/nhZQnP4Vi8IAdgA3wL3AbmGhgWwBqVqrE0dOnCRKzFKp8Kw0rVWJQmzYMnjOHu1LmyETCLW1a8ufKxV4pgbLKN6PRaJg7928sLa0YNqyHoc2hZrlyvPP25uKNG4Y2JdmSx86OJcWKsfzRIzYfOWJQWzQaDRUq1OTo0b0GtSO5063bBAoWLMu4cW0IDVVOLJxYFCxYHSMjI65c2WdQO5Iz9ugf7i4BUw1rCgA1a9biwIEDhCeBVb3JlR9NTelpakq/oCAee3kZ1JbMmbOSNWt2Dh5Ux/WEwsjIiFVDhqABei9caGhzqFWhAi9ev+aGIHSm8u0UAhYAvwG7HjwwqC0mJiZUqVKN/fvVPp6QTJ48lSJFitK+fRuDz581IsQv9h8y/IvfpETcVGJDQvQ/kqqV9PYlXz7l8nXron4tALRctIiNN24wqUULFHcunz2reBqNX0yVDS3K6oNohRU10RIuWtraEh4eToiRERaSqpCUmyk2Za9PiaMiWpzVZqX8PZH3MLag5IsX+mujdG8lVTXpnDt3fvTfsZkzMwfYtGcPA3v3jnn806fK54mrApREtHtuYWlJQEiIvkxo3+ZBPorldnbKAhotWihXu3mzcnnFijHLBg1SPla63bVrK5dH5ueVBOyiuHBBr9IlqQZK7Uno466vP2yjcAWGtGrBgOnT6fizJebm9jGOXzheWZVLbFOSMEwsx1tEiJ4E6HRyn5Le7kjHS9dM6Ce2kiiDUO7mp7xNP10hZeXUyDYS6z03M9P/SI1KWkkhlAevWB/1exNgUpF8bPzvP35QUEl0knLR+Cqf21hSirR3UCyPfkssLS0ICgrAxASevFROou3oqKzca60VlJyEe/X0uvLh7dsrl0viiYJoo6KyWqTiYayLGe3swNYWU63yhpc8eZQVxaRmb/324w2Rs4b9RLmmTbl7fh+lS5SI+QdCO3OyV3YSJbVZqetHpp8NDjbFyMgYW1t/smWTp6sVK5TLlYQuJYFESQBUEpSWjpeGEGNf5cCIcUQfNI9NaSxyPJTGRWmLmXSRm3wQ8igGNDl9mo0+Poz5/Xfl4ytXVi5XuhCS2prQ1zTRfDHLsFCCg4PRvnopX0yps0njnDQuSgOrVK90Hsme2PyZ2OSg37+H0FDlOVvyOyW/9s8/P/rvRH9/FrVrx9YdO/hJKd+zkkwfyDZL9QodJXqrtLS0IDQ0ACsrublKTUqa4i9eVC5Pn95JsTz/a4UXf9J3koyU2kFku/GPZf+RjY3+RzqPICeveaq89Wytb60P/zGBijVfsH79aPw0GmwsFcSFJH9G6g9x9CsiJz0LB/1cH2BsLNcptTNpEpPGRcGWxnnipvTrZZ9ZsVwadiPn99huOTqdvn1IfrlULuVoj6YI20mnY0rt2mzcvJka1tYxj61fX/kcQru3EYYcqQ9G7/pWVpZRvluoVtk/cbJQvlhO6YX2V1r5PJIqr6QeK6nTHjiq7GNWUhJS2BsRjIztedzISP8jzT27dysW5ypWT7H8Y3/GgkGDxtG4cTUuXbtGEQUlYWkMkZ6ZjWyEOMxrof9EtFeLiDEvwMcHAgKU40GAiYny+ZUug5Ta1tZKmJel8TuuOZGlexpZHmsnj1Z13GpOWBoWL86dFy8w9JqXPQcPkj9PHuziKpWtEieszcyokT07mwyc0NbH15czFy5Qtnhxg9qREmhcpQqhYWE8fmzYXHZ7jxzBzMyMYgULGtSOlED9+g3ZdOGCwbfFHjmyl+LFyxrUhpRAqSJFcEmdmk07DNvHz507TFhYKIULq/c8oWmYLh1XfHww7FoM2Hv4MB6FC2MmvVRWiRfsra2plC8fmwyc6/n169dcvXqF0qXLGNSOlICHR0NCQgLZc+6cQe3Ye/gwNtbWFJDeZqnECxqNhoZVqrApCWx937t3D2XKqPN4QlO6dAXs7R3Y9MnimsRmX8SOHPWZ/GOSVMCuVI4cGBsZYei09JkyZuTFq1cG39KTEijn7s7ZCxd4/UZYWZUI2NrY4OjgwBM1kW2C45omDVnSp+fx4+0GtcM9fXpCQkJ44+lpUDtSAmXLlsc3MJDjBt7Ckj69O8+fq4lsExpjY2PKFCvGzn37DJpnKF06fbLqly/Ve57QlE2dGg1g2FFdn6z6+cuXBt/SkxIonycPJzw98TLgA72joyPW1taq0Egi4OKSBQeHdOwwcH5v9/Tp8Q8I4J203Fkl3ihXtCivdTrOGzjXs7t7JrWPJwKmpqYUK1aSHfv3G/QFe6YMGQDUZ/JPSFIBOwcbGzpWqsQkIJbF/gnKj40b89bTkx171T3zCU3HokUxNzdn8owZBrPByMiIBrVq8dfatQZfBZQSGNC6NXfurMTLy3BraetUqYKpqSl/rV8f+8Eq30SlSpUpkCEDo/75x6B21K/fnAMHdvLq1QuD2pESGNC5M5evXWPDpk0Gs8HdPQdZsuRmy5a/DGZDSsHFwoJWGTMyATDkeowfGzbk2YsX7Dt82IBWpAy6VKuGDph286bBbDAxMaFu3fqsWKH28YRGo9FQp84Alu7cyX0DPkj/UEu/VXeF6rslOLXLlSOXkREjDawK3aRJU/7771881RfsCU6PHgM4c/EiW4TttYlBgTx5yJwxI39FS5umksQCdgBDfviBd4AhF2Qu+OMPAP4z8FbNlICTlRWd2rRh1fr1BguWPX/5kqWrVvHi1SuDrvRLKXRp3Bgzs1TcvbvaYDas+OcfQkNDmbl4scFsSCkYGxszqGZNDty4wTMDJSkPDg5m6tSRAFy8qKpBJzRlihWjdPHirNywwWA2nD9/hPv3b7B//78GsyElMSRnTl4BhpT4WLBsGQDb1JetCU5aBwfauruz8vFjg9nw6NEj1q5dzYMHD/CNNVmryrdSrVoPLM3NWSsl+koElq1ejU6nY97SpQazIaVgYmLCAAsLdoWG8tZAq+UDAgIYPnwoABel5JIq8UaFClUpUqAAKzduNJgNew4d4sHjx6wy8Ev+pEaSC9hlS5sWR+CWAW1YH7EqYNmqVQa0IuVQolgxXr95g7eBlrhfi/aGWB0gEh4zU1PSpCmCt7fhevmuCIfTR3XyE4WSWbMCcNtAMu3v3r3Fy0v/dnbatFEGsSGlUbJYMW7euWOw+s+d+6Aw9uKF4YIKKYX8qVJhCRhqvZVOp2NthO82R30RkyiUcHLicUAAgQbaMnf58gdRq3//NdwDZkrB3NyK/Jkzc9OA2xN37t8PwGNJlE4lXilhYoIWuGOgNAMvX74kLGJ8mTRpokFsSGmUKFyYW/fuGaz+g8ePR/3+RhIzTYHETSXWwkL/I6lkCGpA17S5FcvzVldW3cwGysIT588r16ugeGOmLNYD2tgVvI7s2EGeCHW78NBQjI0VVOokQQpJoUk6XlIikcol9SNJiUSSo4sMVMS21NnHR39upclRageCUpKkMJM14jvdmDeP0hEP9oAssScllI6rAlmEvE/VatX4ffZsuvbty4Hjx/nJSEEBCzC3UP6+JsJliFRm/ZS2bZXLlb6WFE+SRN6cEJaMh+nviXlYLIo0Xl76+y21J0nxSwq2CiqgGTJk5dGjk+TI8XH5lZdpFI/PL3xfUZlaIqKf/zZ5Mtdu3+bOgwfcevqUnEqqWZKam/SmUbpm0vGS7dK1FOzRvH6lWP5a6wLoxQI/S1iYrJ4GovL1ncfKKlvZ08asMMOBA5hoNNzYupVKV658+KBZM+U6pXYmlEsqgJG3xMHBjb/+2k27dtW5deuaeOllcW5lNSpJpC5TJuXyWbOUy6UXx5LYolJTi5x6pOEuioj7/cZX+f6lMVOel82l/iCM91mvX+fB/fsEjRyJRbT75jN+tuLxqYT8gvbpMyiWxyZEOXbsYPz8HrF8+R88fLifrl3bKx4vKfcqXWPpfkvXXJoKzbXCvCvsJw23U1ZBjvrcTHnOisLLC8zNZZW3uCqkChciG0LATlrxpnSBpMlNkOPTZcse9fupU6cpWFCvbqdzcECjUdCXk3wx6btK5dIYJckGSo1E+r6SSmykLxZbjmWNRu+jKdUb13YgfKds1/Vy2Dd376Zw9OtRvrzyeZQUEkF2dIQOZBphT8MGdZk7Zw69+/Th4MF9lCvXQfF4jyJxCzYEhigrU1v6Ks+1mCj42VI7k66xNIlFTkqxBUUDAvT3Wzp/HFWTa9dWPnzbxrzcvHcPPlWRjKsvJs0nsfhRf86eTbEaNXj+8iWP/P1xd3cXj/1ipDqlF4xS/xH6rEMW5XvXtLzQRiKerXxjdd4ikO6t4LuRLp1yuUI/z+zriwa4+f49paJ/IMmuC9dAah7SpfzQHbKwYME2fvqpDhcuXMI0TJg7Jb9ZGLuyZlIeExYtUu77ptpg5fNLKQGk/nxb4QtHPqfH9jweqRIrPQMLY4TrU+VdJV7ZPBTLs6VNy5/37hH29i0m0duWNAYJ47TmnfA8KsUOIsaukT178uDhQ9Zs3szBw4ep3KyH4uHStKE0/UhdROzj0pggvSiQ4hUSkedXii8JJLkVdgAegCE3LeXOmZPxI0bg5OiIUVwlfFXiTL506TA3MeGMNAEkMBqNhi7t2pHO1ZUC+fIZxIaURoYMHrx8eY3g4C+XtI5PnFOnZsZI/RZJa8lxVIk3LIyNKWBryxkDJoouV64aFSvWpkKFWgazISXh4eJCqFbLZQO9IbWwsGDYsDEAODkpvwhQiV8M7bvlz5+fYcOGkz59euVgnUq8UsjYGGPgjIFW32g0Gnr27ImDgwO5c+UyiA0pDY/Chbl49SohBhIbcXVx4X/jxgFgbW1tEBtSErZAbgw7rpcvX5vixStRsmQVA1qRcvDIn5/AoCCuG2iVnZWlJeMGDADAUXpxlQJJktGokujf0hpSH+TazZvkzZVLdfoSATMTE4pmzMiB27cNZoO3tzfPX7wgr+r0JQru7iXR6bTcv3/EYDZcu30bO1tb3FxdDWZDSqKkvT0H371Da0Bhlzt3rpE9e16D1Z+SKODkhIWxMfsNuHXp+vWrAOTOrd7zxKAkcBkwZCbY69evkTever8TAyuNhoLGxhwwoIrky5cv8fLyUu95IlGyaFFCQkI4cfaswWy4dusWLmnSkFra0aQSr5QEDgCGlOS7e/caWbOqfTwxKJw7N6amphw4dcpgNlyLiAfk/XQbVgomSQbs6gF2wHwD2nDt5k3y5lbeyqsS/7QpWZItly/zyEAqQJF57NSAXeLg6pqPdOkKcuzYPIPZcO32bfLmyKEG5ROJNm5uPAwMZLu0ByKB8fN7z7Nnj8iRQ3X6EgNzExOaZc/O/MuXDRakvXnzGtbW1mTIIOQnUIlXGgLmwG8GtOHatWvkyaP28cSitakpG0JDeWGgpPTXrl0DUAN2iUTRggXJlT07c5csMZgN127dIm/OnAarP6XRGv0iGkMJCr1794Z3716TLZvaxxMDG2trGlatytwVKwwmBnnt9m0c7e1xSaPujogkSQbsUgENgK0Gqt/Pz49bd+6QTw3YJRotPTww0mjYfvWqQeo/d/EixsbG5MyePfaDVb4ZjUaDh0c7bt/eS0iIkHswgTl35Qr51Lc3iUZJBwdyWFuzxUABu+vXLwCQI4e67T2xaJ87N0/9/LhkIPXtixfPkytXXjW1RSKRGqgLbDFQ/V5eXty/f598amqLRKOtmRnhwM7YcuolEOfPn8fCwoIsQr5clfjFyMiINk2bsuvAAYNsi9XpdJy/coV86sv1RKMikAHDPZPfuKHPX58tmzquJxbtGjTg3uPH3HrwwCD1n7tyhXw5c6oLKqKRZL3YOui3Vlw2QN0bN28mNDSU2tWqGaD2lImdpSXlsmdnxalTiR7R1+l0rN64keqVK2NurpyIXSX+yZ27NmFhwVy+nPjqbhevXePG3bvUq1o10etOydRJk4Z/Xr3C3wBbqDZvXo2ra3py5y6Y6HWnVMqkS0cqMzNW3Ep8Rej379+zc+cWatasm+h1p2TqoM93ZAgN8LVr16LRaKgpiRuoxDtORkaUNDZmhQECdjqdjlWrV1O7dm1lcTiVBKFO1ar4+fuzaefORK/71PnzPHj8mLrq81mioUE/rq8HhFT8Ccr27avJkCErWbKoQdrEooKHB1aWlqzYvDnR637n7c3OgwepW0XNWRiduKnEvnmjVzGJo/KM2X3lw18FpVIsd8mWjYY6HZkfPWKCuTnrI3NMRSSJj0HdmA65uajQ9Hl1klevXzN83Djq16xJJldXWRVFOr+UwD6uCqZSuWSPlNhbsidS5c3/C1RDzcw+I7GigKSucveucnmEms5AV1fqHjzI/g0bqPK5a1+69JfbArJUX8Q1WLJkCSfPnGHb5s1gY4OZ0ETCtcrBPCnq7WSvnIjZ3l7ZsTQ2ihmodEsbt20mOiMnxXLN7YjHp9gkJIOC9OpyUvuW2oEk1yOspupf9w5gxNVTlTh3YgzLR3lgbGzMBT9hhWMcVeTEcmdngoOD+WncOLJmzUqNH3/kfZiywqJVLuWl2Mbewrbtx4+VyyWhBenttKTsHEf1t9QR4oOSoNRH5zU1ldWShH7onKuEYnmoRUxFVdOI7TN9njxhbpkyLCpZkoHdu8NW4Z1t2bLK5cJ9DQlRVtGMXFh17txx1q5dzIABEzAxMVISFgfkZiYNRdJQJ+XJlVRGpVQ80vCt1I0jz21qqvw3UVhagpUVaQJeKH/+1lu5XNryJjWw+vUxA3p7ezNjwwaGjhiBs4MDqWyUx8VH3spqsGGC/yCpvIExOp2OYcP6odVqadWqPQC2FkJAwUz5ewXbxBzvpYV6qeyUXzKFa4W3wwHKDcpHq6xGLAiUR7kVUrv9cAILvUqsRFzHdakDlSxJc62WERcvMtHOjr8jj/vnH+Xj69ePWSY1ekFNNXJ4ff78GaNHj6Z+/SZYWrriLwyX1kZCZ5ZurvRdpU4u+XpS/4mrzxi5ejC2uVyn09epdG+lueS5kDn6U0XQT44f+N9/NGnZkmMbN1KmVClZYrRiReVyac4TrpkOfb+aO28ely5dYubM/6FDI4pf3rit7HPF4hrGwDIu6uVxVHIU21NkH4xty7GXl/6+StdSske45wE2WRXLvUPS4JitEmXKVGHMjDkUr9oBIyMjbNIq+0sOIYKyblz7SVgYgYGB9Bw2jNzZs1O5ZEnZt5L6slQu3ROpb0rXWOqT0jgq2R/ZFmLr48bGn382k76XkFf2vWNMxV3b06cB6PfoEb83b87SQYP4qUkTWLRI+dxNmigWm8XxdkeWnzlzkM2blzNo0Ex0us+stpLGNOm5U7g2plI/kc5/X3BQpOOVBpcv3QFgZqb/kcYKafwWcLBX9lsCLXJiBHTp+hNzly3mp1GTcHBwwHLBDOUTZcqkXC45yNLAa2eHTqej9+DBmJmb06ZzZ0idGicLZTstLJTbg3WIV8xCE6FOqY9Lau/Ss7HUx6VrEOnPxGHxQpJdYWeq0TDCwYEN/v5cDRbklBOAQWPHEh4ezoKpUxOtThU9td3cKOboyNjLlxNtld3r16/pN2AAnTp2pLbkZKokGKN79uTWgwes3b490eqcN38+Z86e5e8//8Qs1miWSnySKUMG2jVtyq8LFhAgOezxTFhYGIMHd6BAAQ+6dh2UKHWqfKB/48YYGxkxff36RKvz4MF9/P33Un79dQ7p0ysHAlUSBnMjI4alS8eqt2+5HRiYaPUOH94XU1NTpkyZk2h1quhpWL8++fLmZdykSYlW59OnTxk8eBA9e/aiUqVKiVavip5+/cZw48Zldu/elGh1zvj9d67eusWKOXPUFZWJTE53d1pUq8bkP/8kOJG2QoeGhjBqVAeKFi1Py5a9E6VOlQ/06zeY0NBQ5s2blWh1btuxg1Vr17Jg1izSCi/pUipJNmAH0NbOjiwmJvzw4gVPEmG5/YNHj1j1zz+MHjhQVY40ABqNhnEFC3L0zRv6JZIC1azZszE2NubXKVMSpT6Vj/EoUIC6lSrx09ixHD9/PsHrCw0N5dfp02nfrh2lSpVK8PpUYjKiTx+8fX35oUMHghNhXN+58x/u37/N+PHzMI11+ZlKfONoZ0e/Ro3438aNLN+9O1HqnDFjEkWKeNCmTcdEqU/lYzo7O5POzIz6t27xIhEe7m7fvsmWLRsZPnwCzs4uCV6fyscYGRkx9uef2bNvH8NGjUqUOmfOnImNjQ2//PJLotSn8jElSpSjbNmqDBnSmUuXEt5fDwwMZObvv9OtVSuK5M+f4PWpxGRUp0689PSk8dChhCaCyMyOHWt4/vwhw4fPUwO0BsDFxYVu3XoyffpkNmxYmyh1Tpo2jXJlytCyefNEqe97IkkH7Mw0Gva4uREKNHv5koAEXnW1aedOTE1Nad+iRYLWoyJT282NuR4ezLl1i0VHjiR4ff/89x/NmzXDUVr+qpLg/D1tGnmzZ6dZ3768eqW8VD++OHr0KK9fv6Z7164JWo+KTBZ3d7b//TeHTp6k77JlCb6adseOjRQs6EH+/EUTtB4VmTFt29KqShW6/u9/nDx5MkHr8vR8y5EjB+nUqbuasNhAWBgZsS93bnzCw2lx5w5BCdzHt237F2tra5o2bZWg9ajING7QgGmTJjF1xgz+ktIrxBM6nY5//tlIy5atsJO2KKkkOAsWrCVjxiz06NGEV68S9p4fPHECLx8furdpk6D1qMjkypSJzTNmsPPkSYacOZPgvtvevRspUqQc2bOrYhOGYuzYX2jQoDHdu3fkvLCVOr549uwZJ06donvnzqrvpkCSDtgBZDE1ZUPatFwOCeHn2PbzfyN7Dh2iQqlSWFtbJ2g9Kp+nV86c9MqZk57r1nHthZBnKR548uQJt27donatWglWh0rs2NvZsT5ipeOoUW0S1AnYs3cvLi4uFC5cOMHqUImdKuXKsXDyZH7bu5d1J04kWD06nY5jx/ZSoYLaxw2JibExi/r1o1iOHDRu1ixBt0MfOrQfnU5HtWrqPTckOSwtWZ89O6f9/BiXwFtjDx7cQ/nyVVTRKAMzsG9fOrdvT+dbt7ibgH38zp07PH78mFqq72ZQ7O0dWbRoAyEhIfTunbCrmfccOUJGNzdyZxfyHKskCrVKl2ZW//7MunaNLU+eJFg9Wq2WU6f2Ua6cmqrIkJiZmbFgwRJy585Lo7/+IjgBBeP2HTyIRqOhhioGqEiSD9gBFLewYJiDAwsDA7kfLiWa/nY8vbywslROQK+SuMwoUoSMjo4M37QpwQI4Pj4+AFhLSSdVEo10Li7MHTWKs2cPcuzYjgSr552XF1ZWVhh9aZJXlQSjU8uW1CpcmFFr1xKYQNvmtFotPj5eWFmpL2EMjYWZGX8NHcrr16+ZNXt2gtXj5aUXMbK0VMd1Q1PWzo7+rq7MCQriSQL6bu/eeap9PAmg0WiYM2MGzqamjHjwIMHq8Y5I1q++XDc86dO7M2bMLPbu3cHhw/sTrB5PLy+srazUlTdJgF7NmlHJ1ZWfz50jJIHG9dDQEAID/bG0VPu4obG2tmbx4r944u3NguPHE6wez3fvMDIywlKNwygSN5VYI6MPP0oIKhlarTVLlsygQ4e+HznRkrCpy8GDMcr6+/uzLGdO+nt6EiPFqYIKjC6tcg6663eV38CmS6Pj1Llzenvt7D480EsqPnFUFQpPrZxXRVScjFBO/dLzi6oxkv2RfGkwTEmJSGoH6dJxwcuL2+/f0zxjxs+fI+L4TzEDZtSuTeO//2bnhQvUypXrs8cDhDoqX2PTAB/F8gNr9Xvy//3nH6pHUy/TCAo2xn6CCowUbBDKjaU3z0rlksKMsNpUI7XLSBnK2Fapurrq25gkkybdczs7Fm3dSs1ixcgUPVGoqNYc89rUK1uWkiWrMWVKT7ZsuftxzgpJ/k1q30J+jd9+/x0Az1evcHLSK+ra2sRROUy6f5LykUQcx1Gx7wvnMX2nV2czff/+83b4+EBoqPy9hLEl4NJh1u/cSZ9Pt6goSJ4G2iuPx5OWrqBkySJMv/+YIUOGR5VLgrvZ0yqPV1Jq2h07jqPT6Zg7dzxDhgyJKo/ryn5px7yk7hqb8tmnSMO9NGQqCbVHCjLHGvuMVBqTxgLJmNev+e/UKdLa21MyZ84P5VI/UeizWbNkoV+OHIwdM4ZOly/jEs0xO1n7L8XTSKLgoVrlnDZbtmwE4ObNS5QrVz6qPNxIOX9hmHBPlK6jdMns7AS1MjPlHI3BZspqsKlMhIcfoeLn3qkAiK2LExamVxSUxnWh7wc6OzPr+nUG5M2LefTxWBqjataMUTQkMJC/p05lsI8Paz79UGnrZKFCcbLRJzCAa9cuc+3aZZYvXxn1QC8NZ9ZSHDe6jxEdaQ6WrqU0J0nzg3QtJZ8usr99Th0S9HLRZmbKSu3SwOXoyOn793nq5UWjotFSCFy9qny8wjWztLXl15AQWr95w8GDB6kY/UMpN3H58srlgp3bt+sDQ//9t4MCBT78rTR0SbdKKhfTc0l/oCReFVdjHj4UKo3NqAjev4fwcLldSP0qJIR5f/xBg1q1SB9tzHbxEwKuCoqQ3bs1Zu3MrAzt+iM3hg//OKjWoIHyeaRJVaFcp9OxfMMGAHxtbD5sg5aucVxfyH7Gr1VEmvMktUxJVVYapCLbSGx52xwc9H6htAVdGLueaLVs3rePnp/4brZhMdU132TyUDzHjBcvKA4s+Osv+kX/oHNnxeMfWynnjJYu8ZUr+pRIK1ZMY9iwaIITUj+QBAqk8VtylKTxWzqPNE5L51c6T+TcEFsfT5cObG3l4Ikkoufry4bDh8nk4kKx6L6b4AhbKjxrFM7ozE+5c/Pztm20s7PDMfp8dvu2cr3Rn/+jI1yzNRs2EB4ezo3btylapMiHD4R7ojVxUCy/8zZmudQ8bO3ka6aIYHtgmLJ/aYmwuyByzIltHo/+J1985Ddw69YVbt68xMuXz776HDbW1gwFtgIJsYvazs6OWhHO5vM4SiOrxGTvq1ec9VKQVo4DDfPlo1C6dPx26lQ8WfUxlStUAOBJAu/LTwmEhIay7dQpbn3DtdRoNPz003ieP3/IyZN74tG6D0yZOBGAEwnUplISB06d4uy1a4R9wxL53Lnz0LRpC5YuXYw2AZIYZ82aA3t7B+zsUsX7uVMiOy9c4GJsD5axMCJ/fow1Gv68dy9+jPqE/v0HA3D06OEEOX9K4rynJ1e8vHj5DVta7S0tGQj8AyiEjr4ZR0dHypQpB4Cnp/ACVOWL2XvjBmcfPfqmc7QEcgG/xYtFMalWTb9N7t69OwlUQ8rB39+fnfv3c+f+/a8+h5GREeNq1uTW69ccToBxXaPRMGrkSABOnz4d7+dPaew/eZLTly9/0+6lwkBj9H08IfZA5cqVF2tra8zM1DQH8cGO06e5/A19HGBU4cKE6XT8rbBIKj4YNVz/0v7gYdV3UyJRAnb58hXh559nkjnzt+UeaIl+5VVCaJUYGxszsF8/QK8kqfJt/JQtGz/nzv1N59BoNHT08GDrjRt4J0AOnLx58tCkYUNCE3BPfkrBzNSU3/v1o1r0tyJfQf78JciSJQ/bt6+MJ8s+pnOHDoDax+ODZjVrMm3QIEzi8IZIifbtO/Hw4QNOnYp/MQJnZxd69hz4TUFFlQ9MbNmSjpUrf9M5HMzNaZQxIyu/0XmUqFatOm5ubmofjwdKOzsz3cMDd2lV0BfSBv1D3YZ4sepjTE1N6d9fv3pWveffTu8qVRj2jbnhNEBH4F8gITLZ5c1bgOrV6xAWpt7vb8Xa2prFM2dSsUyZbzpPhWzZyJo6NSsjdirFN10jhMLUPv7ttKxXj2nDhn3z9uJOwE3gQrxY9TGuruno0aOfer/jiSmdO9OmWrVvOoezpSX1MmZkZQK9bK1buzZOTk7qPRdIlICdRqPBxUXY0hYHbIGKwLZvPpMykYNXQivfpASsTUywl5bnxoF6uXMTrtWyW1py+41oNBr1fscTrk5O35wbTqPRUKFCPY4f35UgQRa1j8cfJiYmuEhbq+JAqVKlcXR0ZMeOhBnZ1Zw38UdqOzvMTJWX/seFeunTc8Xbmyf+/vFglRLqPY8PNBoN6eIhx6sTUIaE991Uvh1bCwvs4iGHUD0gGNj3zWdSRr3n8Yeri8s3X0+NRkPdPHnYceNGgqyWV+93/GFqaopzREqYb6ECYEPCjeugPp/FF2ns7TH9xpfrAPUyZuTsmze8SiBRIfWZXOa7y7zeAjgA3EiAc4dHJM9UE9InHTI5OlIiY0YWJpCSZHh4OEaqI5CkqFGjOV5eb9i3b2O8n1vt40kPY2NjGjVqyvLlSwkODo7384eHh6v3O4lR280NW1NTFt66lSDn1+m06j1PYrQAdgIJsa4yMkCg3vOkQ06gILAwgc6v1ap9PKnRokgRnnp7s/X69Xg/t+q7JT3M0G+LXQwkxJoorVb13ZIa9TJmxMLYmN9u3kyQ86v+usx3d1VaAK7AjHg+b1hYWNTDorm5umc+KTGofHkO3r/P2XiUENfpdISHhxMcHKze7yRGrlyFKV68Mn/9NS1e37SofTzp0qdPf169esWqVSvi7Zw6nY6wsDBCQoLVPChJDDszM7pkz87C27fxi8ftD+Hh4eh0OnVcT4K0BRyB/8XzeSP7OKjjelJCAwwEdgCCZMVXodVqCQ8PV8f1JEjJTJkonTkz0/bHr1qs6rslXQYAT4B18XjOSN9NnceTHk4WFnTIkYN5168TGI+7oMLCwlTfLRbitj7S0lKvSCNJ+OXJo1j88KLy4dmyCfVIy6lnzsQc6LlnD7/s3cv4ESNIlyoVKOTC0WTJoniKvLk+lgq5fPkyP7ZuzY0bN6KCA1ZmZh9UgAQJG53gKEgqclqhXEyFHlc1WEnBRtqyFqnwIimhRJIqFZibKx8n2SJthZWW40o2FCgAQMO0aXHfuZPpZ86wpkQJ2L5d8XBTof2RL99H/50yYwaTpk8nPDycgIAAfmzc+OPrJw1CUtQ/rmqi0nmU8gRJfUG6xpLkUmR7im2rQmQfj+u9kiR4PqNapERBM33+k9Et61O3Xz+8T/1OxWLFuHa/qOLxeR29lc8fzf7Xb97QrGtXjkQTmjAyt8c/TN+HrY3iGDCI61Zv6X5L90K69pIylDDWRV3j2JSBI5W/JSVeSe1KEudRGLssfZVzXnjaZwUgXbqcVKtWh9mz/0fDhu24f1/5GpiZKa+Gdc/4cWB348aN9Ordm7dv3xIWFkbWrLk/EpSLq/ib1JWlYVcShJSagiSmJeX2VRLHixSDjHWXqZeX/ovGplD3KVI7ki6adHHatgWgb40a/K91a5bY29OvcWOa2ygLwdwJKqFYHr35hYSEMGRIR7ZtW4e1tTXe3t6YmVl91HTjOqwrdXNXR+UVoKFGgoMp9HFzacwJUu5rgWbKnkKkoGKsO12srPTzeBzHY/GiSf6J1JD//BMroPvGjczes4dRv/6Ks50dzJkT89hixRRPEV6g8Ef/P3v2LO3ateb27dtRvpuDUTAWIXpVeEtHoZMHCOOupA4Y14cS6drEVV08NoX12BQk/f31qqFKDVxJORZk1U0lWWoAQQDgxHH9/cgUFkrqRu4MLV6dkSP/pNTYGsrnqVhRsfjOy4/VlOfOHcfSpdPRanUEBvrTsGGHjwQypb4c151gkoApkgK3dN3io9LILxjbi41nz/T+m3RvpfYklUv9QbjIgV37AtAzjRutWjXlUKESFC9eEsvHwipqKYdpNH/9+fPnNGvZkuMnTnx4PjM3/9AnpWcQaa6K6zgn+WjSHCn1/bg+E0WOCbGNPSYm+p+IZ6UYSCJwki+p0HYciyuru756qb8fLkC5plX51ceLSjtOk+6c8vNZekHt/dNbtWnTasaP74uvrzehoaEU+GTcF8dLCekeSn6tdA+l4+PqNyuVR7bj2Hz158/B2lr+XGqXki1xVFkOnrcYgJ/u3mFBvhz8UbQkXbp0w3ypsI5aiD8E2qSJ+j0oKIjOnduyZct/2NjYEBAQgJlVKoL54FOZWyjfQ1sL5QUdtgqxpdAwYSedNGlI5cI9shTaZaiJcnoJU78IUc44bC3+9g3NBuCnMmUYuWMHy8+eZViVKt90rgGDBhEcHMyc6dN56+lJgXz5SJVKVRRMShgbGdGtcmVGrFvH0i5dsPqGLax3791j+JgxdGjThjzZshEaFkaT+vXj0VqV+KBW6dJkSpeORRs3UlF4gPtSfp0/n3OXL/O/8eN5HRhO2rSulCih7ISoGI4OHXrw4491OH36OGZm5b/6PDqdjvYdOlCyZElKlqzL+/c+lCnzbcl2VeKfjC4u1C1ZkkVbt9KvceNvOte2bev477+VDB48CQsLLZaWVrRo0SaeLFWJL/pWr87ELVtYffIkfatX/6ZzDRjQD41Gw5ypU3nr6UmRggWxiOvDnEqCYmJiSr16nVm2bALDh//xTee6desKc+eOpXnzrqRPn5Xw8HBq124RT5aqxBf16jXAxSUtS5Ysonjxkt90rl+mTOHa9evMnjmTd+/ekSFDBop+o7CZSvzTvv1PdOrUmMuXz/Mt2epDQkIYPLgDpUtXpnr16rx/70u1at8mgKMS/2TLlp0qVaqxZMkiunTp9k3nWrXqb/75Zz0TJ04lNDQEW1tbmjZtHk+WJi++y4CdQ0QEfPi2bbQoXJhM4uuwz/Ps2TPOX7hAh3bt6NWjR3yaqBLPVMuXjxHr1lFg+HDuTpny1efZunMnAMMGDCCHu3t8macSzxgZGZExbVrW7tlDu7p1yVhFeYVdbAQFBbH70CGKFy5Mn86d8bdxiWdLVeKL4sX1r2Dr16/A5s1BX73d6eDBg/j5+dG1SxeKFG0WnyaqxDOl8+Rhy4kT/Lx0Kb/06fNV59DpdOzduwUHByd69hwur45RMTipbfUrpvqtWkUTDw/cvvI8Dx8+5MqVy/Tq1YdeEeqRKkmTEiVqsGzZBDp18uBWpjSx/4HAgQNbAejR42ecnYWVnCoGx8TEhLRpXVmx4i9at25PjUyuX3WegIAA9h84QJnSpends2c8W6kSnxQvXhaAWrWKE/rvv5jEtvpX4NixfYSEBNOmzU80blw3Pk1UiWeKFvXg118n8euvkxmV2v6rzqHT6dixYyvp0rkxYMAQcVGbip7v9vLUyJkTgKZ//fVVfx8WFkbL1q2xtLRk+LBhAAQGBtKweXPM7e2xd3VlzoIF8WavyrdROFMmAO69fs0zL6+vOse5CxcYOmoUfX/6iRzZswNw6uxZshUtiqmzM7lLlODegwfxZbLKN9KsalUAavft+9XnGDRuHLfv32fG2LFRZYMH98PZ2Rqi/lr3AAEAAElEQVQXFxv69OmuKhIlEVKlso/6/eDB1V91jtevX9OyVSsqVapEo0aNAHj27BFNmpQiZ04TSpdOx/HjCaVbqBJXqkaslpi0atVX98O1a/9g27Z1jBs3L6ps2bLfyZLFGScnM374oRoBCaRophJ3ikds4e/4x9etuAoNDaVlyxY4OTkxcOAgAPz8/KjfogVmadLg4O7Ob8uWxZu9Kt9Gzpz6l223b1/AU9qaFQvnzx9n9uxRdO06jHTp9MG6c+eOUK1aZgoUMKV+/Xw8fy6k6lFJdJo00a+QqVmz0lefo0///jx6/JhfJ00C9A/3PXr2xNreHltHR/oOGKD6bkmENGmco37fImyTj42XL58xcGBbKlasRaVKtQF48OAelSp54ORkQp486Tlx4mi82Kvy7VSvXhOA0aNHfPU5Fi2ax7Ztm5k584PvNn/+XNzcUmNra0aDBnUIklKrpEC+24Bd04IFAb5aiOCPpUs5cvQoq1esIHXEPuv7Dx7w35YthISE4OPjQ99Bg5g5e3a82azy9RhHC73/eTTug7ZOp6Nzz57ky5OHqRMmRJVPnzePew8eEBYWxs07d8hWtCh37ynn21JJXErmzx/1e2RS8bhw8tw55i9bxowxYygUkRclPDychQtnExAQgL+/P0uX/kaT5s0Ji8fkqSpfT4UK+iDt2rWTvurvhwwdSlhYGCtXrMA44i3vvn1buHjxJOHh4bx+/YK2baty4sSheLNZ5evJlzlz1O/Xv+Jlybt3bxk/vh8//tiF+vU/bI/7+edBvH37htDQUA4c2EvBglnxjS1fq0qi0Ka0fiXt7qtfJ0WwYMF8zp07y8qVa7CPyP1z884dtuzcSWhoKN4+PnTv359FixbFl8kq34C5+YdtymujJ5z7QrRaLT//3JkCBYrTt+/4qPLffpvEs2cPCQsL4+7da1St6s7Tpw/jw2SVb6RUqTJRv3+Nb3Xw0CH+WLaMebNnkyciN3VQUBCLFi8mICAAPz8/5sybR/uOHaPUY1UMS/78+lxzUzZu/Kq/nzhxICYmpsyY8VeUSuimTRu4cOEs4eHhPH/+jFq1ynHixIl4s1nl6ylYsFDU7/fevInz37948YIRIwbTo0dv6tdvEFU+ZEh/PD09CQ0NZefO7RQunPf/7J11WFTLG8e/u3SDdCk2KCIWBihgYneLLddurx3X7u6fde3uunZ3d4stBgrSsef3x+4S7rzsHl1Cnc/z8Fzvy3DOnHmnzpyZ94sodbH9/hB+2QU7d/ufO9q2a/dulC5VChUrVkyxFS1SBJPGjk2XbsDgwejRpw9/oc8BeCoCH8f+gKrgy1evcOPWLfQICUmnQDN/6lS0aZb+2FwRHx8cPXHip/LK+XkKpzmyHB4ufkDYdfAgTIyN0bl16xSbjo4OVqxYB3v7VJGM7Tt3ok6DBoiIiPi5DHN+mrJl5UcrHBwIIQ017Nq1Cy1btICjY+oxnObNOyM4uGe6dE2bBmDduv/9eEY5WsEwTTDutz8w6Tt79ihiYqIREjIonX337iPw96+c8v9hYe8RGFgOz58Tgc45WYa7448dkVOye/culC9fAT4+Pim2Ut7eGDss/Zf+bt27o3///pCpE1riZDp2dvK529cfmEeHhj7G06f30aZNT+jp6aXYx49fjtq1W6ZL27ChN65cOf1zmeX8NIUKuaf8O/wH5lW79uyBlZUV2rZpk2IzMjLCymXLYGaWKkSyes0aNGjUCN++ffu5DHN+mgoV5LspnX8gJoUgCDh8eBcaNgyGtXXqsfmQkF7o1Cl9uKoKFSvi39Wrfy6znJ8mbTt8+wNt/OjRQ4iPj0e/fn+nsx86dAK+vqnrMs+fP4NvlSp4QYmd/kGIi2GXnJyxag1RoIHl2AqSn2PY6hnIRShSBQWl/LNEbCwMlixB1+bN2aoxhPJRQkICTp06hQOKWGZSxQTg7atXcHR0xJBhw3D+8mVcuXoVo0aMQHh4OEaMGgXX3LkxZPDglOuIFZ6hRIJija2ZdiNLkV+NqE6SUI1JhPy5E2VqYg1YWcnLl3W4nFI4og6iU+o7lErVd8pkfVq0QJfp09GhenX2cxGyw+++fMG+o/JjcJ26d0en7t3RsEEDbF+6FPa5cmHqyJFYu3kzWjZqhJqVK2P19u1o0KoV7l69ityurqkXopxOBboW+6LA+opAlbGdHdtO1QNl2avbZaJUnaIUvKgvHVRnSqkUU+peadRmTXPlQomiRWFkaIgSJZzB1BoxVn1emUyGKzdu4Mj584iOiYGhYuHv5LFjqBRghw7tW+L5s/sYN348Fi1cCIlEgsFDhqBrr17YsH596oWordhU/abqgVgVQAqqE6F8oqw76uqhra1ceUps50WNBSzlKaJtfv1OlKx8+doAxqBUqS4IDVVNT8Wb/vAxEkeOHMLXr18xb/58zJs/H46Ojjh+PBRGRob455952L9/E/LmLYymTTvi3r2zGDw4BMWKFUSlSgEp16FcRVUFqnlS6Sn7sWNsO1XELNFGpfCb2tOfERHysZxKSKkDPnqkeWYA+mELFUr3v50aNsSWw4fh7+7OzFNub9VLCIKAR48e4ubN4wCAwED5NWfOnIuOHXuhZEkfdOrUAydPHsOoURPh6OiMadPGomXLBjhz5gr009RpyucSqB63Spax4yrqJRE7gMUqixNjpFFcLNMuUyiQqVXB1NOTt2OxbZmyu7uz7dTzphmXfEqVglQqxd8NGwJlyqimJepTYsw3nDx1CidPngAA6OnJ7/Xhzh3Y2thgZO/eOH32LB49fYphffrgfUQExkyYgDzOzuiTNgaW2EA56vrX76HKWKTqnFqVeXW7Diws5KqhLCh1QOqZROYxd5H0/9+r12CMHNkLbRs3lufre4j5gHHES9y/uw8AMGBAawwY0BqtW7XC0GHrYGPjhJ49x2Pfvg2oX78dypWrigMHlqFnz3q4efNeuo82Yk/EU48bF8du/4aGqnaq6VglER8mqP5SmXl1D2FoKP+hxntqTkeMzeQcjZhjpp06ATZwcHCHlZULdApXwGdGemupamib5ORkXLpwAf8dOoQvX75AT9EfXjx7Fj6FC6N9gwa4d+MGZixciPmTJwP6+vh7xAj07tULK5cuTb0QVY+pdxCxx+6o61AqnVR+CLugiN8rJKl5D3R1lc/dtKUAzPCtBl06AKB58wZYsmQmOteqxewDrY3ZY5gOYvDfoUOIj4/DkiVTsWTJVOTLlw83bjyEpaUx5s1biM2b16JEiVJo3bod9u8/hg6dOkHfsDBKlkyVns1HfOPVE1n2WnuvpeoUq/0o+2N1R7xtbeV1jNqpTLV9Si2Yeh8knjXJMn3U2WbNWuHYscMoX748W7WcUf8EQcCzx7dw5rT8nbxQIfk79v+WLEHnTp1Q2b883ncNwdmzpzFj2jTY2Nhg1JgxaNy6NS6cPQvdtP4REWJBjxiXk2VsEUsdsX6lxn3CJbGGVvL/Jmge7/GX3WFnbGSELk2aYP769fikwVGXuLg49Bo4ENZ2dqgWFARnZ2dYWVml/H7X7t0YPmIEKgUE4Nr162jcqBH+CgnB0CFD0L9vX4wZOxZP+VHJbKVpQACszc0xYuNGjdLfuH0b5WrUgJOrK3r27g0PD4+U3+3YuRNPQ0PhV6cOhk2YAAAY0a8fgps1w9Z162Bhbo6e/fplynNwNKdncDDOXb2Kc+dOqU0rCAKmz5oFRzc3lK1QAU+ePEGeNLv01m3YgBUrVqBEyZI4feYMKlasiK5du+Kvv/7CgvnzsXHjRuzfz5ak52QNnp6lUKxYaezePUKj9GFh7xAcXA/OzjZo3boZChYsBIliZffdu3d4+PA2unVrjO7dG+Pz549o3bobmjbtgHnzlsLXtxJ69uyMhB+Mq8TRDn81bYrIqCgs2r1bo/Q7d25H0aIFUby4B9au/ReFChVO+d3y5Utx+vQJ+PoWx54922BuboG+fQejZcu2WLduKx48uI/Zs6dnzoNwNMLc2Bgdq1bFzF27EKHBi3JMTAy6DhwIawcHBNWpA1dXV5ineRHYf/QoBv3zDwIaNsSte/fQvH59hAQHY9SwYejx118YNno0Xv5g6BSOdmjQoCXMzS0w8vBhjdJfuX4dZQID4ZInDwYMGpRu7rZu/Xq8fPkErVqVw5Il4wEA3bqNRt26bbBp0zbo6+ujf/8fj3vL0Q6VK/fE/ftHcPXqRbVpZTIZJs6cCQd3d1SoVAlhHz7AJc3C/YZNm7B45UqUDAzEmYsXUdXfH906dkS3kBDMnjoVq9auxdHjxzPzcThqqFDBF0WLemKEhnHlX71+jVoNGsDG3h4tWrVC4cKp4/izZ89w//49NGlSD8HBzfHt2zd069YbwcHtMXHiSnh5+WDEiE785Fs206VLd3z69BErjmoWF3rjtm3IV6IEPIsXx5atW1FQEUseAJYtX45Dhw7Bq0QJ7Nq9G3Z2dujXty/aBgdj0/r1uH79OubOm5dZj/JL8Msu2AHA0JAQCIKAdWpimgmCgIatWmHZ6tUY0K8fbly9ilehoQj/+BFCUhISYmPxV0gI7j94gNNnzuDt27fo0K5dyt//M2YMjIyM0KhpU0RHR2f2Y3EILExN0atRI+y9dg0f1SzS3r53D3516iA+IQFr/v0XH969w73btyEkJaX43NzUFGcvXcKqjRtRoUwZeCh2flhYWGD86NHYs38/5ixYkBWPxiFo36QJnOztsX79KrVph4wYgUFDh6JxgwY4dfw4Pr5/j9CnTyEkJSExLg6LFy5EfHw8bty4gRMnTqBL584pf9uqVSuULVsW7Tt0wDPqSzQn05FIJOjefQTev3+A588znuh/+RKO2rUr4ObNq5gxYw4ePgzF7dsPERsrQ1ycgG/fEuDpWRL//bcdBw9uh42NPQIDawOQqxBPmzYHz549RffunXjw6mykjKcngnx9sebwYSSpiUe0ceN6tGjRGEWKFMWOHXvx9u1n3Lr1AHFxAmJiknHp0g0YGBjg7t1b2LZtI4KDO6XEwyle3Bvt2nXC+PGjcfIkf7nLToY3bYqEpCRsvHkzw3TJycmo06YN1mzdiqF//41bV6/ixZMniPj0CUJCAhKio9GueXNcv3MHJ8+fx+cvX9C2adOUv5/4zz+QSqVo3LIlYmPZOzw4mY+VlTXatOmKnffu4YsaP1y9cQMVa9YEAKxfuxYf379XmbsZGZng1q2L2LlzJcqVqwIXF3ksTGtra4wa9Q+2bduC//1vSaY/F4emUqUQmJraYMOGVWrT9hs2DCMmTEDLxo1x5sQJfHjzBq+ePYOQkIDEmBjMnDYNUdHRuH77Ns5fvowuwcEpf9uxXTsUL1YMwZ064RW1k4iT6UilUgwZMhzXnz7FTTVz6A8fPqBCYCDu3LuHBfPm4eXz53hw9266Nl6kSFHs378H27ZthrOzC6pWrQ5AHtZmyJBZePbsAcaO5erB2Un58r7w8/PH6hMn1MaSXLF2LVp26YJSxYtj/549+PzhAx7dvw8hKQnJCQk4e/o09PT0cPv2bWzZuhVdOnVK+fhetmxZtGndGsNGjMDZs2ez4tFyJL/0gp2TnR3a1quHQevW4Tx1XAfAzdu3cfDIEaxbtgxjRo9G8eLFUyoCAOjp6UEikWDbli0oXaoU6tWtixIlSqT83tjYGHt27sTjx48xZNiPK6Jwfp5OtWrBUE8PDaZNQ0IGX1cWLF8OW2trnNm7F21at04RFlGip6cHWxsbnFbs6hg1YEC6OhHcqhW6du6MgUOH4vqNG5nyLBz1SKVS/B0Sgg0bVmHt2hVkutjYWMyeNw8jhw7FwrlzUbFixXRbp3V1dSGRSNCtWze0b9cOefPmRZs08VEkEgnWrV0LExMTtO/Qgcc9ykb8/WvC2bkYli5tgsjID2S6nTs34e3b19i37xz++qt7ut2UQGq/fu9eLCQSCTp16g9z89TjWF5e3pg1ayE2blyLzZvXf395ThYyoF073Hz6FAMWLcow3YwZU1CnTj1s2bITNWvWhnGaYwtSqRQ6Ojrw8SmP8eOnQyaTYejQf9L9/bhxk1G2bHl06hSMr9SxIE6m42ZvjxYVK6Lvnj249uYNme7StWs4fuYMti5fjhHDhqFYsWIqczcAOLx5Mzw9PNC0bl0UTXNc18zMDLs2b8btu3cxevz4zHsgjlratPkLEokETdaty3Bhfu7ixcjt4oLTBw6gZYsWyPXdETI9PT3Y2jrif/87BADo2nVUut936NAJ7dp1QL9+vXHv3j3tPwhHI3R19VC9+gCsWrUYW7fS42tkZCQWLF+OCSNGYO7kyfCtUCFFMEp+HfncbWDPnmjZqBE8ChVCk3r1Un4vkUiwac0aSKVSdOrWjX98y0bq1asPd1dXNPjnH3zOYFPFuk2b8OnzZ1w4cQJ/hYTANW3oIcjbuI6ODt69+woA6NdvEExMTFJ+7+1dDn//PR2bNy/Ff//9mMgFRzv07TsI5x89wrB16zJMN2XuXDRr0ABbVq1CzZo1YZQmXINy7hYYGIjxY8dCEASMHJH+lM2MadNQwtsbbdq1+2NFKH7pBTsAWDJmDHwKFECTWbPwnpiAX7h8Gbq6uqhVvXqG15JIJJAJAkwZcQj8/PwwacIEzF+wAHd+UN2M8/O42Nlh9+DBuPzkCfqtWkWmu3D1Kqr5+6fr5FkoBShMv0uno6ODOdOno4iHB3oPHPjT+eb8OH06dEDbtl0wcGA3XLt2mZnmxs2bSEhIQIM0EzkKqVQKExOTdC9+AJA/f36sWrkSp0+fxoYNG7SSd4549PX10bPnASQnJ+J//2uG5GS2yMzVqxfg5VUSrq55mL9XkpycBF1dXRgZqfYFXbp0Q5MmLdC/fw9+vCIbqVquHOb07Im527djzaFDzDTR0dG4ffsW6tZtoNJ2v0dXVw+6urrp450AsLS0xMqV6/DtWySmTp2gtfxzxLOyTx94Ojig4Zo1+EScXLhw9SqMjIxQzd8/w2tJJBIkJyWpjOMAUDkgAP+MGIFps2ZxBfhsJHfuvNjRujVOhoZiyH//kekuXLmCoCpVYEgFl1Sgpyefuxkbm35n18O8eQvh5pYXAwf2/el8c36cmjUHo1mzYPTr1xl37rB30169eRPJycloUKuWRtdktfHChQph+aJFOHz0KHbs2vVTeeb8OEZGRjg4fjy+xcai1eTJ5K6rC5cuwad0aTg5OWV4PZlMppivp2/jEokEHTr0R9WqDTB2bHe+SJuNBAXVxtTgYEzduRNbzp1jpgn/8gWPnjxBg9q11c7d9PT0YGhoqDJ3s7Gxwbo1axAWFoap06ZpLf+/Elm+YJf4AwqfGaGvr4+t/fpBANBk1ixEfxcTRSaT4eSZM3B1cVE7AXj58iWuXbuGWort+N/TskULGBgYILBqVXz5ohowlaNKYnKy1jvT8oUKYV7Hjlh46BCWMGKivHz9Go+fPUOBvHnVXmvngQPIZWUFH0Y0e319fbRp0QJnzp3DwKFDtZL3P4FENVujf4QpU+ahWLESaNu2EV6/Vo1HdPzkSUilUrjlUbd4k4zde/aQbdzf3x/58uVD23btcEPNcS2OnOTkZLXb4cViZeWMkJCtePr0LDZt6qPSh0RFReHGjctwc8uv9lonTx5AYmIiAgPZLwRt23ZEREQE6tatppW8/wlkRhvvVq8e2teogZCZM3GBsTPm9OmTAIB8+dT7fN++nfD3Z7/0u7i4onLlapg9ezq2bNEsHipH+z431NfH9jZtEJuYiKbr1qmovycnJ+PU+fNwc3VVmbx/z6OnT3H/8WPUqlKF+fs2LVpAT08PFatW5YqSGpIZbdw/Xz7MqFkTM86cwb/Xrqn8/lloKEJfvkR+DeZux47thK2tI9zdvVV+Z2hoiJYtW+PIkcMYPXqkNrL+R6Dt9zOJRIIZM5agQAF3tGvXEO/fv1NJc/z0aejq6iI3JV6kICEhAfsOH0atqlWZv69RrRqcHB3Rol073Lt/Xyv5/91JSk7W+mmSPPb22DxsGI7cuIFBy5apzN0iIyNx9fp1FKBUItKwf/8eyGQyVKsWpPI7iUSCRo064PPnD+jata7W8v+7k5gJH6b716uHFn5+6DB/Pq4xPoodPy1X7tbonXzXLtSoXj3dLlsl+fLlQ4C/P8ZNmICdf+DCvDiV2KQk+U/u3OzfUwtiCvWMxYsX4+ixY9iyebM8OdFPRMcQK7C5PZhmB6+v2D5lCqr17Yvy48Zh49ix8BAEXL1+Hf2HDcPpc+ewbP781GdgIZUij6IDqV6lSqraShq1FDs7Oxz57z9UDAjAiRPH0bBhI5XLWJuy1eKSddnqUh+IE19PPrGVQygR0JgYK6bdknhcW135gqNelBrBDjMzudIYS/2IKkvFomlkXByGHzmCvFZW6O/rSyvSUOpXDx4wzR8b/YWG/k1wWWaArv+bj+tSU4wYMQlWwjes37QJg4YPh5WlJdp37ChX8CEGpFPnz2Pi7NmoWqlSytEaAOmUZ/r99Rfu3L6N1evWYdr48eyvA5R6EKWyRZWDGDl0sWWp3H2qbivxy5dyfyslJ7+HUsJRqNYeuHYNiw4dwpK//oKjlRWtuERNzoiydLACdm1eD9/AQFSv7oM1y5ejapUqePrkCUaPH491Gzeid/fuyGVpKfc3ISTgVbIkPn36hOqVKpFldfLAARQtUwbbd++Gd5qj8erySJYNJWpA+YpKTynuUu1QWe9Z6k1psbCQt29q4qZGHWv0zJmIiY3FzOHD0983LYSKsKlNUabdywvw8vKDjs5CTJkSAkF4i2HDlkMiMceRIwcxeHBvfPr0AUuWrIa+Pp312NhP6NmzGQCgcOHUyULaalm9ejVMnDgVw4b9jVev3sDZ2fn7y5BCYFT/TbmWCu1CXV+MkKty+FU7//72TZ5IrDplEbn0440nT7Bw92408vNDkI8PrZpF9VGEQqWkTBksWrMGT+rXR+VBgzBnyhR0btcOHz+GYf78uZg+fQr8/QNQsaJfhkKfU6ZMxOnTxzFmzIx0WUv7WFOmrMCTJ8+wdu161K3bgnkdK3PVgpRRqurE+E4VgampHtNOTcjehhNqnwrUrkEpFWKpPiqNOnc6FJVq7qFDuPDkCdZ37y63U+MD1UcRfZpr9+7YWqoUgoKD4bdpEzbMn4+Cenq4eOUK+g0bhotXrmDNkiXyfBPXEKKjUdjXFwBQtXTpVEenEaZwdnbGvu3bUb1uXZw5dQo1qzEW56mGQyk/Uump/phqV9R1qM5Fza6UFCIigPh49rycGn8VHePnqCiM2rMHHg4O6BkYSNcbooI7gzjm3L07enfrhjt9+qDDmjW47+KCscOGIT42Fms3bsTgUaPg6OCA4Nat5XkhyubNi/+wevUsNGrQAMXckwHIFxeTpantasiQIbh//y7WrVuNf/4Zx7wOVfTUECxG/VsxJWJcnHhPouqZ8n1L02Ng1GBCvbcpOtPdx49jydatWDtpEqzMzen8EJ1v6dLs5FevGqFnz+0YNswP/v5l0K/fOnh6+sOjwFuMGD0aW7Ztw98DBsDE3l7+B4RT3EqWROS3b6heowb5rnn22DEUKVkSu/buRZE0IgYpUM9EvbsSzxoLdn9sBJFxMgmfSqTyvkKiTlBRIpHnkci/4M5+Z5aEy3V7h//zDwRBwNQxY+S/YFRkKnKElSHxrHZ2qFy9OuaEh6PX1Kl4HRWFJcOHwyQmBvv++w99Bg/G14gI9OnaVd5XEmUc/vIJunSRx5LPb2cGJMkHOScns5Q0rVvXxZs3YzFhwihERnyCtbW16oWiiMZM1AXqXV1HKm7jSWISex1DT6r6ISTZTq5onWyY8YkwhIVl3A+8fZvhn196+hSLjx1DWz8/BHh4kO/Y1NhjQrWfMmWwbNkyVG7RApVGj8bC8eMR3Lgxwr5+xYy5czFz7lzUqFoVpcuXl9dZoo3/PXw0zl+4gDlzFiA+KXWuZaCbWmbr1qyBn78/NmzciAZ1iYVaRp2i1GCp4Toqjj1H+/qVbafe3tUsi5FDK4ss3WEXHx8PC0pm+icp5+mJc0uWIFkmQ7HgYFjnyYMyAQF48/YtTuzfj05t22b492l3zDEbvQI/Pz/Y2tri+PFjWsv774qBri7uhIXBSzkQaxGJRIKJE+di7NiZWLFiPooUsYOloyNCevZE3Vq1cPvyZdiRMyY542bMAIB0cZC+R1dXF/Vr1cLHT59wl8dDUYuhvj4+RkbCLhPaubOzMy6cOgXPIkVQrXZt2Dg7o4CnJ/YdPIjVy5ZhtgbbpO8pBqg81OQVgIuzM8qWLo1jJ07wrfYa8Pz1a3jkV7/r6UeoX78LJk/eiZs3T6NBA1fkyWOJli3rwcUlN86evYUSJYi3BAUnTtBHr9Lfp5EiPRcjUEcuMzNcevgQxTT4Qi4WQ0ND/LdjB9o0b46Q3r1h4+aG3LkdMXPmNIwYMRr79x9KEZGgmDRJvnDs7Ey3cXNzC1SsWBXXrl1ADLWQwkkhNiEBNmZm6hP+AJXKlsWZbdvwLToaRapUQS43N5SvVg2fw8Nx5uBBtG7WLMO/f//xY8q/WcfllFStXBmmpqY4evKk1vL+u2Kkr4/bb96gGOPjxc8ikUiwZPZsTBo9GjPmz4ddgQKwcnFB93790LRhQ9w8fx5WVuwP0EqGjZTvmrOwsCDT6OnpoU6dunj58iWe8qPQatHX00NUTAwsqJfyn8De3g1TplyAg0MBjBgRgOBgGxT29MSxEyewce1aTJ44Ue013r1/DyDjuZtbnjwoVaIEjp48yeduGvA0NBSeHuxFvZ+lZ4sW2DJ1Kg5fuACXoCBYuLigUevWKFSgAG6fPw8vT88M/37Hnj1q7yGRSFCvnnLudkIb2f6tyWVqiiuhoSiaCf26ibExjm7YgKa1a6Nd//6wKV4cjvnyYe7ChZj4zz/Yu3272uOw06ZNAgDkzk2flLKyskLlwECcPXcO8fHsDVK/K+J22P0kffpkrtR6sfz5cXn5cqw/dAjn37xBo7p1Ub1KlfS7pwiUscw0oVePHvhn3Di0adMWPj4+P5Pl3xoDXV0c79Qp064vkUjQtWs/VKlSE1u3roUuYvBXp07Ir+GLZDEPDxw5dQotGjTIMF1Q1aookC8fuvTqhTOHDzO36nLkBHp64rwGk68fxcHBAf/t3Ysdu3bhv8OHUd7HB80aN1Ybq/B7XNUcv+j511+o37w5Vq1enU4xmqPKupkzM/X6lSrVR5Eid/Dff2sRE/MUbdt2hrd3KbWDPwDY2so/FtSu3TjDdPny5UNQUC0MHToIQUE1M/xo86eT294eN5ZkngKjsbExls6dizbNm2Przp1wcsuPdu06qAgHURgZGSM2Ngaent4ZpmvVqjNWrZqPsWOHYvLkOVrI+e/L4Dp1MvX6JYsVw7X9+7Fuxw5cuncPzRo2RBV/f7VHYQHAUMO5m0QiQe9u3TBt9my0adYM3l5eP5vt3xZjfX2cysTYvVKpFIP79kWdGjWwdvNmQCpFSIcOyOvmptHfF/fywtVr19TGrK1Tpy7y5MmDrl0747//jqpd7P+TCfLzQ5CfX6Zd38bGBWPHHsX589tw8+ZhBLesgMaNGmX4wZyFvZoP8b26dUPz4GBs2rYNLZo0+Zks//ZsXbkyU6/fpGpVlPfywpp9+/AyJgYhHTqg+HfCQRQuikWlLu3bZ5jO3b0I/P0ro1///qhatWqGi/h/OgXs7XFrQubF7jU1McHKGTMQ3KgRth88iPxFiqBd69YqwkHqKFq0WIa/D+ncGUuWLsXof/7RaLH/dyFLF+yyAmNDQ3SuVw+d1azeq/ydsTHcCxdG5cBAtWmHDB6M3Xv3omvXLrh2jce5ym4KFnTH0KHjYWsqbjt6/Zo1MWvJEngpjnpRGBsb499Fi1CxZk0sXbEC3bp0+Znscn4SqVSKxg0bonHDhhqc/0tP88aN8erNG7UL9PVq10b74GD0GTgQDevXhyV1vJmTJdjYOKJ160FQ01RVKF5cvgOvVq2GGaaTSCRYuPB/KFXKEyNHDsPChZm3IMXRjEq+vqjk64tEQ3E7u/r3H4lZs8arjW9YoEBhDBs2GaNG9UWLFm3h7V3qZ7LL+UlMTUzwV5s2+Evk7mwrCwvkcXZG4yDVOEffM2rYMOzdvx9/9euHi0eP/mhWOVqiqIcHJo0eTYfOIGjauDFWrFoFz6LskApKzM3NsWzZSlSrVhlr165G27btfyK3nJ9FR0cHfn7N4OfXDPVriYuXV79OHURFRaldxG/WuDG279iB7v37o27NmqI/5nK0i7OdHYZ06AAUKCDq78qVKQNAvmEiIyQSCRYsWIHy5Yth9OjRmD179o9mlaMlKvv6orKvLx0ig2D48NFYvHg+cmewixYAihUrhrFjxmD4yJEIbt0aRdWMA78L/HNTGop4eODho0dq0+np6eHvv4fg1q1bOK0Ipsj59ShSqBAA4P7jx2rTVihbFpX9/bFg6VKtB2nlZB1FNWzjADD0778RFRWFNevXZ3KuOJmFhYUlHByc8Pix+iDUTk5O6NChEzZuXI/Pnz9nQe44mUHhwkURExONd++IOFppaNu2GywtrbB8+cIsyBknsyhasCAeUgEi02BgYIC/+/TBpatXcZkhesD5NSiiOMZ3n4rBlIbAwED4+vphwYJ5/JjkL0wRd3c81GCuDgDDBw3Cl69fsX7LlkzOFSezsLezg5WlJe4/fKg2be7cedA2OBj/rl6NSHVx/zg5Fg+PIvj8+bNG8+/evXrBxMQEi5YuzYKc5QzEfdZSBqumolASu1ASC7DPyFOBXa3M2epUYYQQgwlr2wUVFJkKriyVIk+ePNh/4EA6cyIRZLp+/UYoXNgdixcvgq9vxRT7+0/snTti47lTC9NUgEIqsCG5tqT0lbojArq6qT/fQ0XgpRwrNq4ZEVvI9tI+dvrKldl2IqqkzZYtMNLTw+stW4A3aV7uWrViph81bBgqVauGMxcuoJImRweo4KDUEQCWsyiHUzu+iGf9liQPkvtN3WDm4gKYmADUsWKq7VOI3ZlGpI+VsdsV1cypuNx58ubF5/BwxMlkqQqSRD0uVLAgWjZrhuWrVqFzhw4wMlIEGqa+8FJ2qo2JvQ4FFTVVeR1117O2lovLUL6l6iAV64bVbok6bx/JnoDb+7DrX9pAtGmhmpp9+H3kdbDDl9C7sA9Ps2hnU4iZfsigAZg1awa2bVmPHsoA+wDevRd3X8pONQeqy6ROErBcrmwLar8nxMXJhUioekM1HirWG1U/qONt1NdTop7qfVJVFswoP8UvHAQAxC8aC3tX1xR77ECWWqQ+hgwZikmTJmDy5PFwdHRMTZ+g6nPqUXXAnrNYWrLrjSIckwrU9IQaMpQuVBu42MRELiZEXYgam6kLU2M/dVyNOn7KqqxU46HycuoU8kilOPf4MXDqVKqdiH3XslUrjJw4EYtXrUKZcuUyzgtAPyvVfqjGTI0DlJ1qh8pOQV2oF6VgGMu3Yvt0seo6RAVPJnaxUuO4fS72LiyXO3cglUrx6r//0pWfTvXqzPSjRo1CjRrVcfXqRZRL43PKVdR8Wsy8XEdG7CBTJxL1PZr6WyqV/6jZnaIC5XOR9b5QIfZONmrKefgE+3nc3dnpo+IL4O27d9h/0jAlLE0Nny/MtMVKlULD+vXxv9Wr0a5jR+grHUTNhUQqZ5LiEmLfiSiU7UqdmlB8vPyZiP5b8vqVuPww+iIrGXGNrxmLDqpAfSgn+j+JpSXyODnh9dOn6ToIQxf2jvuhAwZgwcKF2LpxIzqmPUZL1O/YOPaxXBmRfRPq5DZRd/RElHGCQsREbTWJjZWLNlD1mOq4qP6bGnuo61Bx3EuWZNspiDpSwE1+DPrj2+dwsk1Tpz+oDhDGAAYMGIj58+dh1Jh/YGtrm/I7VldKzdF0iKKU6YsT/qRen6jpjHKuJ2Z9me+wS4O9nR3CqIr9HRKJBB07dsamTRvwnpp9c3I0EokE9iYmCIuO1ih9RV9fFMifHzPnzs3knHEyC3uFAEpYWJhG6buFhODmrVs4yXfS/rLYW1sjjHoj/A5bW1s0atgQ0zM5Lh8n87BXTNDDNFRV/OuvroiIiMCaNaszM1ucTMTe3Bwf1ErlypFKpejYti1WrF6dTmyM8+sglUpha26ODxERGqWvWrUqnJ2dMXcuj1X5q2JlZQ+ZTIZv3zTb/f5Xly64fOUKzl+4kMk542QW9jY2Gs/dnJ2dUbtmTUybNSuTc8XJLJTxKTVdh+nZsyc+ffqE9X/IKSi+YJcGe3t7fP36VWPlkTJl5IITERpOGjg5D3tTU41f7ACgTKlSiOBbrn9ZxA4IXsXkwU95G/91sbe2RpiII64+Zcpwf//CWBsZQSKRaPwhxszMDHnz5uU+/4WxMzfHh8hIjcNV+JSWx7b8JmLs5+Qs7C0tEabhjn+JRAIfHx/exn9hLC3lH1u/fNHsY2sJb28AfO72K2NvYyNu7la6NH8/+4URu6EiV65ccHBw+GPaOF+wS4PyZf6Dhi/zsbHybdGaqNByciZiF+zi4uK4v39hxA4IcYqt2/pqz5xxcipiF+x4G/+10dXRgY2xMe/X/yDszc2RLJMhXMNFWmW/ric2/AAnxyBmwQ7gbfxXx8pK3IJdShvnPv9lEbPDDlC0cd6n/7IYGRnBzMxM4w0VgiD8Uf06X7BLQ25FvBtNAtkCwNmzZ2BpaalW0YSTc3E1N8f9T580CkacnJyMcxcuwJuKx8PJ8dja2sLAwEDjNn767FkAQPFiGcuMc3Iuro6OeP/pE8I1fLk7feYMivM2/kuT28IC9z9+1Cjt06dP8e7dOxQvXjyTc8XJLHJbWwMA7r99q1H60+fOwd7OLuUDDufXI7etLe6/IuJrfUdiYiIuXLgALy/exn9VcuVyhI6OLl69Ui8gBcjHcQB8LP+Fye3khFfv3mm8E/r02bPw5uP4L01uV1eN38/u3buHr1+/wluxm/Z3hy/YpaFIkSIoUKAANmzapDZtYmIiNmxYi7p166uVGefkXBp6eOD5ly+49Pq12rQHDx1C2IcPaFS/fhbkjJMZ6Orqom7t2ti4ebNG6VeuXo3iXl7IR4lwcHI8dQMCIJFIsPXQIbVpQ0NDcez4cTRq2DALcsbJLBp6eGD3w4eI0SDY96pVK2FiYoLq1WtkQc44mUHJPHngmisXNly8qDZtXFwcNmzejIb16kGqTnSLk2NpWK4c7r16hVvPn6tNu2vXLnz58gWNGzfOgpxxMgMDAyOUKlUDJ05sUJtWEASsXL0a5cqWhRMl3sLJ8dSrUgUJCQnYocHc7dHjxzhz7hx/P/vFaVCvHrbt2IEEDeZuK1euhIWFBQIDA7MgZ9mPuJUmOzu58hSlAkPIZ+hJ2eocUilbhePdB7adum20qYWKzdhN1QbQYimhofL/livXCLv3/ovzV3QglUqZgksREV8xaFBHvHr1CiEh/dOpgFAhVCgRNqpOUh+KqeuLVbWKjpGk+y+JlZVcWY5V+NQxQcpOxRag0lOKc1QhXLrEtlNqhSEhCEhOhtWuXdhvZoayISFyO0NJ79TZs+jUrRv8/fxQtkSJ9MpAYiWAxUhLUteg1P6IMjOTyuMyCvpq4jM6OspVlcQq11EVkIJSlyMUlwyJ9uNqRz0Pu2sTdPXQsHETtG7dCm8+fISTkxOioLqdOjExEVPGDsO+AwewYd269KpMVEdELdyLUVMFaMUyyudEI09UPFeipjE9qM5CrBoiKz1VBlTbJ3bDRcGaaafW22+FyxXKixb1xb+HrqFgpdEAAG+GGufTp4/Rtm0T2Nk5onLVtniTRhmWci3Vr1PNh3I5dX0x4l7Ka1P3SEEmk/9QmaTqt1iofvHlS7b9yRNx16HyHxCARm5uGHH0KE5ZWCCobFkAql2UIAhYvnw5pk2bggFdu8I8NgqITe2DjVh1lioaoswkRL/omItweCR1A/Z8RnlbtS5zdaX7j4yg+gTKTmWE8i3rOlRjoI5GublBCqBhYCB2nTkDIU8eSCQSZj/0+fNntOvWDR8/fUKfHj00uy9V/8T239QYKfb6yr5R3a4Ta2u5z1n5ofJIXZOai1HzAWICq/OIvTvKnqqb4USZeXujWpEiMJkxA/vfvoWX8gMLI/9HTp5E9+7dEFS9Orw93IGE1DmDAfW8RN9CKj+yxjGxyqBUWSrblLpjXwYG8jqmfJn5HkrekKpnVL0k7EZu7LZfsYIb0373Afs9j6qa5uZA1aqNMGlSZwjCZ1hYWEOwtFJJFx8fjyH9++PosWPYsXFj+guK9Qm1K5+6jsgyUzu2qYvJaWsrn1tR8yixc0lWeqqvpyYnBQqw7ZQ4I1XG5ubI7eiIMl5e2H/8ONo2aACArRp/79EjNPnrL7jlzo1mdeqkH4eIMcmI6o+jqPdUS7adGvOodsVSidXXUCVWR0c+TlFzH6qNix3bNIwFm0IGPmQSHs62S6VoVLEiJkyejHP79iGgfHm5/bvnEgQBi/73P8yZMxsjBw2CUUJ8un5dR0xsWktLppmqH8mEeiz1mkUdwFQ2NTHfDPnnxe/w86uL8PAwXL16XOV3nz59wKpVC1GlihdOnTqGlSu3oGhRvt36V0ZHRwe1qlTBhp07VQJWC4KAy1evonu/fgioVQuFCxbEplWr5C8DnF+W6tWrQ19fHxs2qH6pjYqKwpYtG1ClSjnMnD0b06ZMQYvmzbMhlxxtUr58XVy+/B8iIlRf+p8+fYzJk8cgIKAE4uJisWbNAZiYEAuMnF8C9zx5kN/ZGeuPHFH5XWJiIg4ePIh69eoiJKQLOrRogXGDB2dDLjnapG758ngRFobzd++q/O59WBjmLV4MrwoVcP7SJezYuBHuhQtnQy452kJfXx9B/v5Yv2uXSkgTQRBw4coVhPTrh2qNG6N4sWJYu3JlNuWUoy3KlasJqVSKI0dUT0F9+/YNa9euRdmyPli4dCnmzpiBBvXqZUMuOdqkbuXK2Hv8OCIYKuAPHj/GiClTUDooCABwYOtWGBkZZXUWOVrEu2hRuDg6Yv3OnSq/S0hIwL6DBxHUoAF69O+Prh07YsSgQVmfyWyCn+X8juLFfVGwYHGMG9ceAwcuQECAN548uY9//12EI0f2AgCqV6+HyZNnwdU1TzbnlqMNenTogHXbtiG4Z0/83aMHDC0t8d+RI5i/dCkeP30Kezs7TBk7Fv179oSODnt1nfPrYG1tjZYtW2LMmNGwsLBA+fJV8f79W6xZswJbtqxHbGwsypf3w9lTp+Dj45Pd2eVogaCg9vj33zEYObIBQkKmwMrKCZcvn8eSJXNx9epFmJqaonXrThgwYAJfrPsNkEgk6NmwIfovWID8Tk5oXa0avt24gU2bNmH58mX49OkT3N3dsW3bdjTyrZDd2eVogcolS8I9d260Hj8e8/v0QTFbW9y5dw8Lly3DgcOHIZVK0bBuXcyaOhXOzs7ZnV2OFujZvj0CmzdHx4ED0b9LF+iZmWH/4cNYsGIFnoWGwtHeHrMnTECvfv348effABsbRwQENMbixUNhaGgMR8dAvHz5EitXrsDGjRsRFxcHf39/XDx5MkUllvNr06lpU0xctAgNunbFxAEDYO/qijOXLmHu8uW4eusWzM3M0L1dO4wdPRrGP7KLnJOjkEql6B4cjBHTp8PN1RXN69RB5KtXWL95M5avXo0vX77As0gR7NmyBXWqVcvu7GYpfMHuOyQSCWbM2IehQxvj779Tz8IXLlwU48fPQ506TWFtbSP6BCAn51K+dGlsXLwYnQcMwPrt2wHId941bdAAi2bNgr+fH49T+Jsxf/4CxMXFISSkS4rN0dEJAwYMQ7NmreHmlhdmxuyj/JxfDwsLG8yYcRSjRzdG795+KXZ//ypYuXILqlevDSMjI/XHSTm/DL2bNMHHiAiM/fdfjFHsrjEzM0PHjp3Qrl07FC9eXL5b+oNmqoOcnI1UKsXBqVPRaNQo1Bk6FBg6FADg5emJRbNmoUn9+siVKxd9PIjzyxFQvjz+nTkT3YYPx6otWwDI49S2aNgQy2fPRsXy5eUfWfli3W/DkCHLMH58O0yY0AETJshtrq6uGDVqNFq1aoXcuXNDEhebvZnkaA0ne3sc/vdfNO3VCxWaNUux1wgIwPbly1EzMBCGhoY/FvKBkyP5u1s3hEdEYMS0aRg+dSoAwMLCAl3at0fbli1RzNNTnpA68v2bwmcuDOzsnLFs2Xm8evUEcXGP4OKSB4ULF+VHIX9jmjdogPpBQbh47Rpk+voo6uEBO1vb7M4WJ5MwMTHBhg0bMWPGTJw7dx329g4oWrQY9KlYIJxfHg+Pstiw4QWePLkOG5vPKFiwMHLndsvubHEyCalUigldumBQixa4cO8ezCv4olixYjCl4ilyfnnyODjgypIlePjyJZ4aGSGvmxs8Chfmc7ffmLZNmqBpnTq4cO0aJIaGKOruDlsq7hbnl8fExAyTJm3Hhw+voaNzE46OjihWrBj01MX44/yy+JUujVenT+PqnTuISEiAe4ECyO3ikt3Z4mQSOjo6mDZ8OIb26IGL16/DytUVxYoWhYmJSXZnLVvhC3YEEokEuXMXRO7cBbM7K5wswtDQEP4VKvAvNX8QTk5OCAriKmJ/Cjo6OihcuDT4aZk/B0szMwSVLQtBGcCY81sjkUjgnicP3EuWzO6scLIII0NDBPK52x+FnZ0LypXjizZ/Crq6uijr7c3b+B9ELktL1AwMpMU0/jBELdgJrrkhmJtDEhnB/H0EoWQGQrBDC+IqZHpKJIQSqKNEsJ49E5ee2qBDiaRRqjCUiAp1nUKF2HZKpEV5KkStKo21NWBiwnYW5SjqvDDV0VKKNNTRFSrTlEwLpS6XLx/bTj0XVWGp/FD5p8pBzM4P4guyoMv+yij59FH+D0bg1nQYGcnzRymWUVuQxZY9BVHxJVTDpeqOA0MGFECCjWrsItGnZYjGnyxj7+KgBJSsKXdT6luEmlG8jO1zZfVT+3xKdTmx50GpeszqfDOSfmNBtDUqObWhghrnKcEysU2WEuSj0lPXp/JDVW9WVVAuQqoVyNLXT/3RBlS/Jbb/pioq1bdQziXyI3n2lJ2eKmRW30W0QbFlKegbMO0SorMwtmTPrTTuu2xt5eM4hVhVOGosFDvGs56X8iv1sFT9e/SIbRer1krZqT5N7JFb6vrqlCjVSQMr2zir3KhrU5J2VKdCXYfqkMUqklIdLJWeqn9U+6TsxPxBnKQfO61gwz65QVUnPWV1VTdZl0rlP1R7oOZiVP9KtROqflMvS8TcrSilJkqUW95cjDr4lnhWMWq+AF34VHqqjKmypKDqk3KcURcz285OPimi2ifVR1B9LGOCJUjZeUjI5ci0G4SrqrgCAKgdcVQZUC/BlJ16KRfbHiiovotqD1R+WGhabWJjAYlEvF+p/pjqL6nrU89KvZ+JHYMpX1E+p14IWFBjBtVmiT5Eh5gDOjiw3/904qLZ15fK8yORqnknT/snGqfkcDgcDofD4XA4HA6Hw+FwOJmOqE+BkYqVSAmxIhkJcXFC4uPZdupjAbUQ/52iOwB6MZW6tgH7gzeiicVR6jpUGAUqfWIi2y52kxeVntpQpfyg9O1bxkv7kcoLs5wl9msp9bBiv+5TFYH6SkYVPrWyTuWTKnwqPfV1LJkQMxATQJP48kfu3FBUhEg1O+xSfk+VDZVH6rpqt/t8B+Vb6jpU3SHyE6+v+lzUIyUnEH4i8kjtsKOKRk9GdIDUHxBfw9TtsItU89U3xeexIgM1U/We5Sux6srE4JAI9rNSRUZVD6pfpz4gUk2Wuo7YTcPUdVhjG8AeZ5TVMipKjb+pm6lDbL9O+VzsOECNM9SgTUEVJmVnfWGlnknkzg0hiV2hJFS/JTVi2pVDktpxXJ3PtbXDjipLMdenypLaNaP2mMB3UB1+Zu+wo+zU9an+WFEH1fk0Ze7GyidVZtQ4S91LW2IOVFmK7WDFtGWArmtiBxRWv0AMGtQcjdxhB3l/qXYcV9YX6kJUfRLbHqh6TJU9lZ4qY6pOseqCtvwtdoedtuoNhbKNazpfp3wrdqcUoxyoUztUERtQeRbb54g98WHEHiPJOqJuh/L3iG0PIt7nIiPl7w4av49TeafmRFQMV6qMqcUZLc3jyQm12FizYtJT/qPyIvIkCPX+R+6wU+RHXRtPi0QQqNqcSnx8vFyFhfNb4uDggOfPn6fzMff57wv3958H9/mfBff3nwf3+Z8H9/mfBff3nwf3+Z8F9/efB8vnLDRasAPkFSaeWi3l/NLo6+szKwr3+e8J9/efB/f5nwX3958H9/mfB/f5nwX3958H9/mfBff3nwfl8+/ReMGOw+FwOBwOh8PhcDgcDofD4WQ+XHSCw+FwOBwOh8PhcDgcDofDyUHwBTsOh8PhcDgcDofD4XA4HA4nB8EX7DgcDofD4XA4HA6Hw+FwOJwcBF+w43A4HA6Hw+FwOBwOh8PhcHIQfMGOw+FwOBwOh8PhcDgcDofDyUHwBTsOh8PhcDgcDofD4XA4HA4nB8EX7DgcDofD4XA4HA6Hw+FwOJwcBF+w43A4HA6Hw+FwOBwOh8PhcHIQfMGOw+FwOBwOh8PhcDgcDofDyUFk6oLdqlWrIJFIIJFIcOLECZXfC4KAAgUKQCKRICAgIDOzQtK+fXuYmppmy72VHDlyBNWqVYOTkxMMDAxgZ2eHypUrY//+/Spp9+7di7Zt26JYsWLQ09ODRCLJhhyz4f7WDE39HRkZiQkTJiAgIAAODg4wNTVFsWLFMGXKFMTFxWVT7tPDfa4ZYtr48OHDUaJECeTKlQuGhobIly8fQkJC8OLFi2zIuSrc55ohxudpiY2NRaFChSCRSDB9+vQsyi0N97dmiPF3QEBASpmm/QkKCsqGnKvCfa4ZYtt4dHQ0Ro0ahUKFCsHAwADW1tYIDAzE48ePszjn6eH+1gxN/R0aGsps3zmpnXOfa4aYNh4fH49p06bB09MTJiYmsLe3R82aNXHu3LlsyLkq3OeaIcbnCQkJGDVqFPLmzQt9fX3kyZMHQ4cORWxsbDbkPD3c3z/GiBEjIJFI4Onpyfz9kSNHUL58eRgbG8PGxgbt27fHhw8fMj1fWbLDzszMDMuXL1exnzx5Ek+fPoWZmVlWZCPH8vnzZxQtWhSzZs3CoUOHsGTJEujp6aF27dpYu3ZturQ7duzAhQsXUKRIERQvXjybcpwx3N8Zo6m/X758idmzZ6NkyZJYunQpdu/ejSZNmmDMmDGoU6cOBEHIxqdID/d5xohp41+/fkXLli3x77//4uDBgxg4cCD27t2LsmXL4vPnz9n0BKpwn2eMGJ+nZeTIkYiOjs7CnGoG93fGiPV3vnz5cP78+XQ/s2fPzvqMZwD3ecaI8XlUVBQCAgKwfPly9OrVC4cOHcLKlStRtmxZxMTEZNMTpIf7O2M09bejo6NK2z5//jwGDx4MAGjYsGF2PYIK3OcZI6aNd+nSBUOGDEGDBg2wZ88eLFiwAB8/foS/vz8uXbqUTU+gCvd5xojxecuWLTFt2jSEhIRg//796Ny5M2bOnInmzZtnU+5V4f7WnBs3bmD69Omwt7dn/v7kyZOoWbMm7O3tsWvXLsyZMwdHjhxBlSpVEB8fn7mZEzKRlStXCgCEzp07C0ZGRkJERES637dp00YoX768ULRoUcHf3z8zs0LSrl07wcTEJNPvEx0dLSp9QkKC4OzsLFSsWDGdPTk5OeXfPXr0EDLZhaLg/k5FG/6OiooSoqKiVNJOmzZNACCcPn36p/P5s3Cfp6KtNs5i//79AgBh+fLlP5o9rcF9noq2fX7x4kVBX19f2LJliwBAmDZtmjay+VNwf6eiLX/7+/sLRYsW1WbWtAr3eSra8nmfPn0EExMT4enTp9rMnlbg/k4lM8fxgIAAwdjYWKV8swPu81S04fO4uDhBR0dHaNOmTbq0b9++FQAIvXv31kpefwbu81S04fPz588LAIQZM2akSztx4kQBgHDo0CGt5PVH4f5ORRN/JyYmCt7e3kLv3r3JOVqZMmWEIkWKCImJiSm2s2fPCgCEhQsXajXP35MlO+xatmwJANiwYUOKLSIiAtu2bUPHjh2Zf5OQkIDx48fD3d0dBgYGsLW1RYcOHfDx48d06dzc3FCnTh3s3bsXJUqUgJGRETw8PLB3714A8i2hHh4eMDExgY+PD65cucK83927d1GlShWYmJjA1tYWPXv2VPnqKQgCFi5cCG9vbxgZGcHKygpNmjTBs2fP0qULCAiAp6cnTp06hQoVKsDY2Jh8Tgo9PT1YWlpCV1c3nV0qzflhB7m/teNvExMTmJiYqKT18fEBALx69UrUPTIT7nPttXEWtra2AKBR2qyC+1y7Pk9ISEDHjh3Ro0cPlC5dWtR1swLu78xt4zkR7nPt+DwmJgbLli1D06ZNkS9fPlHXy0q4vzOvjT99+hQnT55Es2bNYG5uLuoemQn3uXZ8LpVKIZVKYWFhkS6tubk5pFIpDA0NRd0jM+E+147Pz549CwCoVatWurR16tQBAGzbtk3UPTIL7m/N/D158mSEh4djwoQJzN+/efMGly9fRnBwcLp6UKFCBRQqVAg7duxQe4+fIjNXA5Wru5cvXxaCg4MFHx+flN8tWrRIMDExESIjI1VWd5OTk4WgoCDBxMRE+Oeff4TDhw8Ly5YtE5ydnYUiRYoIMTExKWnz5MkjuLi4CJ6ensKGDRuE/fv3C2XLlhX09PSEUaNGCb6+vsL27duFHTt2CIUKFRLs7e3T/X27du0EfX19IXfu3MKECROEQ4cOCWPGjBF0dXWFOnXqpHueLl26CHp6esKAAQOEgwcPCuvXrxfc3d0Fe3t74f379ynp/P39hVy5cgmurq7CvHnzhOPHjwsnT55UW17JyclCYmKi8ObNG2HUqFGCnp6esHfvXjJ9Tt1hx/2dOf5WMnr0aAGAcPPmTbVpMxvu88zzeWJiohATEyNcu3ZN8PX1FQoVKiR8+/ZN7T0yG+7zzPH58OHDBTc3NyEqKkp4/vx5jtthx/2tPX/7+/sLhoaGgpWVlaCjoyPky5dPGDZsWLpnyk64z7Xr81OnTgkAhAkTJghdu3YVLC0tBT09PaFUqVIajfmZDfd35s/dhg0bJgAQzpw5o/b6WQH3ufZ93qdPH8HU1FTYsWOHEBERITx//lxo2bKlYGVlJTx+/Fhj32QW3Ofa9blyJ92zZ8/S/d3Dhw8FAEL58uXVOyUT4f7W3N93794VDAwMhH379qVc4/sddgcPHhQApKRJS5MmTQRHR8cM7/GzZNmC3fHjxwUAwp07dwRBkG8rbN++vSAIgkpl2bBhgwBA2LZtW7rrXb58WWXbYZ48eQQjIyPh9evXKbYbN24IAARHR8d02yB37twpABB2796dYmvXrp0AQJgzZ066e02YMCHd4EptfX316pVgZGQk/P333yk2f39/AYBw9OhRUeVVo0YNAYAAQDA3Nxe2b9+eYfqcvGDH/a0esf4WBEG4efOmYGRkJDRs2FDUvTIL7vPM8fm7d+9S0gEQypYtK7x580bUvTIL7nPt+/z69euCnp6ecPDgQUEQhBy7YMf9rR5N/D18+HBh4cKFwrFjx4R9+/YJPXv2FHR1dYVKlSqlC3uRXXCfa9fnynIxNzcXfH19hd27dwt79+4VAgMDBYlEktLuswvu78yduyUlJQnOzs6Cu7u7qPtkJtzn2ve5TCYTRo0aJUil0pS0uXPnFq5fvy7qXpkF97l2fa7M/5o1a9LZly9fLgAQChUqJOp+2ob7WzN/JycnC2XLlhVatmyZ7hrfL9itW7dOACCcP39e5RohISGCvr6+Rvf7UbLsfKW/vz/y58+PFStW4Pbt27h8+TK5RXHv3r2wtLRE3bp1kZSUlPLj7e0NBwcHFbUTb29vODs7p/y/h4cHAPm2SGNjYxU7S22xdevW6f6/VatWAIDjx4+n5EkikaBNmzbp8uTg4IDixYur5MnKygqVK1fWoGRSmTdvHi5duoRdu3ahRo0aaN68ebotrL8S3N/qEevv0NBQ1KlTB66urli2bJmoe2UF3Ofq0dTnNjY2uHz5Ms6cOYP//e9/CA8PR2BgIN69eyfqfpkN97l61Pk8KSkJHTt2RPPmzVGjRg1R185quL/Vo0kbHz9+PLp164bAwEDUqlUL8+bNw+TJk3Hq1Cns2rVL1P0yG+5z9ajzuUwmAwDo6+vjwIEDqFu3LmrXro29e/fC0dER48aNE3W/zIT7Wz1i524HDx7Emzdv0KlTJ1H3ySq4z9Wjic8nTJiA6dOnY8yYMTh+/Dh27dqFwoULo1q1arh+/bqo+2U23OfqUefzmjVrokCBAhg8eDAOHz6Mr1+/4uDBgxg2bBh0dHRyVAgr7m+amTNn4vHjxxqLfkkkElF2bZFlgVUkEgk6dOiAuXPnIi4uDoUKFULFihWZacPCwvD161fo6+szf//p06d0/58rV650/6/8O8oeFxeXzq6rqwtra+t0NgcHBwBIUWUMCwuDIAikcsj3cUkcHR2Z6TKiYMGCKf+uV68eatasiR49eqB58+Y5quFrAve3esT4+8WLFwgMDISuri6OHj2q8qw5Ae5z9Wjqc11d3ZQ4Zr6+vggKCkLevHkxefJkzJkzR/R9Mwvuc/Wo8/ns2bPx7NkzbN68GV+/fgUAREZGpjzT169fYWZmBh0dHdH31jbc3+r50XG8TZs2GDhwIC5cuJCjVCS5z9WjzufKPFaoUCGdIp+xsTH8/f2xc+dO0ffMLLi/1SO2jS9fvhx6enpo27at6HtlBdzn6lHn8/v372PUqFGYOnUqBg4cmJK2Zs2aKFKkCPr375+y+JAT4D5XjzqfKz/ABAcHo3r16gDksccnTpyIcePGpVvEym64v9m8fPkSo0aNwuTJk6Gvr58yB09KSoJMJsPXr19hYGAAIyOjlDwq85SW8PDwTH8vz9JIyO3bt8eoUaOwePFiMqgfIN9dYm1tjYMHDzJ/r20J4qSkJHz+/DldhXn//j0ApNhsbGwgkUhw+vRpGBgYqFzje5s2Vlp9fHxw8OBBfPz4kaykORnub3FQ/n7x4gUCAgIgCAJOnDgBFxeXn75XZsF9Lg5N27iLiwucnJzw6NGjn76ntuE+F8f3Pr9z5w4iIiLSTQ6VjBw5EiNHjsT169fh7e390/fWBtzf4hA7jufEj3Pc5+L43udeXl5kWkEQcpzPub/FkVEb//DhA/bu3Yt69erBzs7up++VWXCfi+N7n9+8eROCIKBMmTLp0unp6aF48eI4efLkT99T23Cfi4PVzgsUKIDz58/jzZs3CA8PR/78+REREYE+ffqgUqVKP31PbcL9rcqzZ88QGxuLPn36oE+fPiq/t7KyQp8+fTB79mx4enoCAG7fvq0iNHL79u2U32cWWbpg5+zsjEGDBuHBgwdo164dma5OnTrYuHEjkpOTUbZs2SzJ27p169C7d++U/1+/fj0A+ZZOZZ4mT56MN2/eoFmzZpmeH0EQcPLkSVhaWqqsPP8qcH9rDuXvly9fIiAgAMnJyThx4gTy5MmT6Xn5GbjPNUdMG3/y5Alev36NevXqZXq+xMJ9rjksnw8ZMgTt27dPl+79+/do2bIlunbtiubNm6NAgQKZnjdN4f7WHDFt/N9//wUAlCtXLtPzJRbuc81h+dzR0RHly5fH2bNnERkZmaISGhMTg5MnT+Y4n3N/a466Nr569WokJibm2OOwSrjPNYflcycnJwDAhQsX4O/vn5I2Pj4e165dy5Ef2rnPNUddO3d2dk7ZUTdixAiYmJjkuDbP/a2Kt7c3c+dr3759ERERgZUrV6a0XWdnZ/j4+GDt2rUYOHBgyqmXCxcu4OHDh+jbt6/W8sUiSxfsALlsrjpatGiBdevWoVatWujTpw98fHygp6eH169f4/jx46hfv75Wj4zo6+tjxowZiIqKQpkyZXDu3DmMHz8eNWvWhJ+fHwD5sbSQkBB06NABV65cQaVKlWBiYoJ3797hzJkzKFasGLp16/ZD969fvz6KFy8Ob29vWFtb4+3bt1i1ahVOnjyJBQsWpJMPfvHiBS5fvgxALhMPAFu3bgUgl1dWHqPLKXB/q6Kpvz98+JASt2z58uX48OEDPnz4kHIdFxeXHDkJ4D5XRVOf37p1C/369UOTJk2QL18+SKVS3L59G7NmzYK1tXW6oxY5Ce5zVTT1ubu7O9zd3dP9bWhoKAAgf/78KROWnAT3tyqa+vv06dOYMGECGjZsiHz58iEuLg4HDhzA0qVLUblyZdStW1drZaJNuM9VETN3mz59OgIDA1GjRg0MHjwYEokEM2bMwKdPn3JUDDsl3N+qiPG3kuXLl8PV1TXHxycFuM9ZaOpzPz8/lClTBmPGjEFMTAwqVaqEiIgIzJs3D8+fP8eaNWu0VibahPtcFTHtfOrUqXBwcEDu3LkRFhaGzZs3Y+fOnVizZk2OOhKrhPs7PZaWlsw5tqWlJZKSklR+N2XKFFSrVg1NmzZF9+7d8eHDBwwZMgSenp7o0KHDjzy+xmT5gp0m6OjoYPfu3ZgzZw7WrFmDSZMmQVdXFy4uLvD390exYsW0ej89PT3s3bsXvXv3xvjx42FkZIQuXbpg2rRp6dItWbIE5cqVw5IlS7Bw4ULIZDI4OTnB19cXPj4+P3x/X19fbN26FfPnz0dkZCQsLS1RunRp7N27F7Vr106X9vjx4yqVomnTpgCAdu3aYdWqVT+cj+yC+5vt73v37uHZs2cA5PGNvmf06NEYM2bMD+cjO+E+Z/vc3t4eTk5OmDFjBt69e4ekpCS4uLigTp06GDZsGFxdXX84D9kN9zndr/+OcH+z/e3o6AgdHR2MGzcOnz59gkQiQcGCBTF27FgMGDAgxx2PFAP3Od3GK1SogKNHj2LEiBEpAbbLlSuHEydOoHz58j+ch+yE+zvjPv3cuXN48OABRo0a9Uu367Rwn7N9LpVKcfjwYUybNg1btmzB9OnTYWpqiiJFimD//v2oWbPmD+chu+E+p9t5XFwcxo4di9evX8PIyCilT6fiw/0K/Gn+FkNAQAD279+PUaNGoW7dujA2NkadOnUwbdo05lFdbSIRBEHI1DtwOBwOh8PhcDgcDofD4XA4HI35PT75cDgcDofD4XA4HA6Hw+FwOL8JfMGOw+FwOBwOh8PhcDgcDofDyUHwBTsOh8PhcDgcDofD4XA4HA4nB8EX7DgcDofD4XA4HA6Hw+FwOJwcBF+w43A4HA6Hw+FwOBwOh8PhcHIQfMGOw+FwOBwOh8PhcDgcDofDyUHoapowLi4OCQkJmZkXTjahr68PQ0NDFTv3+e8J9/efB/f5nwX3958H9/mfB/f5nwX3958H9/mfBff3nwflcxUEDYiNjRUcHBwEAPznN/xxcHAQYmNjVXxub899/jv+UP52sLfP9rzxn6z1uZ0db+O/4w/Zxvk4/tv+kD63s8v2vPGfLPY5b+e/5Q/395/3w+frf9YPb+N/3g/L5yw02mGXkJCA9+/fIzT0FczNzaET842dUJe4XFKSJrdJITzRTNRl7JLeqhpjY9mJP35k2/PlY5o/wI59T6tEpj1Zqse0R0Wxb5uczLYbGbHtVBFTdnUL8pGRkShQwBUJCQnpVngTEhIQFvYet2+/gpmZOaxMGc9L3DQ6RsK0377NzsPnz2z7nTtsu709206V2YgRbHuRImx71apse6FCbLuNDdsuCGx7rlxsu5WVqs3UlJ1WL45og98Iu8K3kd++wdXLi+nv92FhePXoEczNzemKQ1VYCqrRUtcnvjIkWrALmWrOFhZsO6vKGoS9ZCemKppMJs5OPFNElI6oyzx7xrZbWrLtBgby/0ZFRaJsWXYb//DhPa5ckbdxB3t2hU1MYrdnCj2pah25eYf9rF++sK9x5AjbTrXNAH+isVE3oCoIwbcYdv6pfpeql5Rvzc3Zdh32bZHI6I6VTerbt0j4+LD9/f79e7x8KR/HJUnsMUzQZY9hVD+trGffY2ZK+CQujm0n+ooFq9nzATO2GbVqse02FuznRUwM266vr5kNwOt3bEdFR4u7JVWfiNtCqghqEhUViYAAwucfPuDVtWswNzMD9Ni+JQcrqp+m+vX4eLadahCs69+7x05LFULjxkzzp0Rxbdzamm2PjGTbqUcVO9ejoPqK1PtEonJlup2nzNfjVCvhN5kJ85qsfgWg51Z797Ltjo5su5QIwvPoEdtOcfEi2966Ndvu4sK2U5saqL6Oml6xnot61nfv2Haqeivnl9HRkahbl/b3kydyfxskiHw/o/pjYmIR/oU9Hzh6lH2ZPXvY9okT2XYXCyL/rAkQa9IM0BNnakClGjPVz1ENgnC6YM7ui6juNe1Y7uFB+DwsDK9u35b36xSUzylY5UDVD6rCUh3g1atsOzXZowZyd3e2nerAqfIROV+n6gI1X6LaOevyymlqVFQkKlXSYO4WxW4jX5LYz0oN72FhbDtVlHZGRNskBo7Hn9kvu9QQ7+vLtt+6xbZ7ebHtLNdSU58PH9h2sWswVDVTt3EuMjIS+fKp+px574wvlR5zc3P5BECXeIHT0oJdYoK4BTvzJEYlojpmaqZMlHYs2G9S5ubiFuyowZt6JmNjtl3bC3bqMDOT+9xcxIIdVT9M2HNEcm2VqrtUQ6LKjCp7qsyo+1LXp+YG1HhANWzWSzu5YKcvbhFFba+RkgfzjBfsRLZlrS3YESsa1FyCWgBhLtjFiHAIoLUFO0EqbsGOqguUXUOXw8zMXNHOM2/BztSU/axUNaAWgag+hMo7PWgQviWQ6IpbsKPqpdg+QUy/rmlfr2zjYhfsRDZZesGOmugTvjI0ZBcONQ7Q/SuxGiFmlYzIuxmx+C4hmo7YMUndgp06zM3M5C921IWoiil2HKBmxdS8i5WeciyVd6ItxyeIa+MiuwSyjVM+Fzt0qluwU0fKfF1ftW5KiAU7yt3U3IeyU/00VV8pl1NQVYG6r9iXKWr9hvKJmAU7qsyoZ6LG9+9R+tsgQeT7mch2Rc0HqOeiugS6nybyzyoI6iJUoYkdsMW+oJELduyyVLdgpw5zMzP5fJ1C7IIdqxwoB1L1huoAxVZ8sS9cYl6sgExfsKPWLVmXpz6UfE/K3E3KLuNkYsGOelTqgyJZlMaEb4kKaxrPLnvKtdR9xfbrrOelqhk1NRG7BkNVM03fwzRBVGvWiYtmDv6pVxO5YEc8ibUsgriOiLcg6rMotZxKLPnaU89UrhzTHOngwbQzd6hlQCLEvTRRkwMDGbEapvgDAxAzEwWWlvKKKDDyQ41xVAWldqJRq+TUjrb169n27dvZ9vfvxdkrVWLbQ0PZdsonYr/qinkJ19N0FqdE6Sx1bwEyWcZpxL7wUVB9AtF76iW8YdrfvnVm2p11iU9HW7eq2jp2ZKd98oRtJxybbMr+ihoezr4MNSBQ6d3c2HZqwHFwyPg+KeksYmFurgcQ7VmP6AOpiUpikuoYUaAA+9qfPrHtduyNzeSu27dv2ROJqlXZnwotiXZFtXFqFyM1KaOeVyJjb7P5/JU9rlJVkJUfpZvULQwkJcl/EhLY/tMlmjJ1XXKzFfHi+Pot++08fz72Al/79uzrW314yP7FJ+IB3hMZpZzFaFjRMnbeXV3E7VAL+0qsSBOo++BHvSOlYGQk7wjErDhocmNN7VSDZnV2VEdHfZbv359ptm3QgGn/4leXaaf6UWrKSPUJ1PhO9RXUdaihVpkfdYu1UqkiDWMAkIrc4UlNpz092favX9l2qgy8vdn2IUPY9mPH2Haq7Kk5HXUdYnpP5jN3blUbtSNe7LqF8kQGtW6ixCApGgZJOlr7oEg5y9qcnd7dnZ3Bl8QBBqrekw2ONe8S+0Huxg22nTr2Ql2HqshEGUuIzsWAeinSl5clVSdSMDWV/1AvCmLn5axORVsfc6hnrVCBbT90iG3fv59tb9OGbXdyYppjcxdm2o2IORq1GUeHSG9oyJ7TsYpHmUWqn1UiSUqEJCkRicRHTEOi6MWuU1NjoWCXwW5O1nWItk+4RHRfcemS5umpbo6ablBlRr2fUWWm7lVdzJo6V4nlcDgcDofD4XA4HA6Hw+FwchB8wY7D4XA4HA6Hw+FwOBwOh8PJQfAFOw6Hw+FwOBwOh8PhcDgcDicHwRfsOBwOh8PhcDgcDofD4XA4nBwEX7DjcDgcDofD4XA4HA6Hw+FwchDiNJ9TZKcIKNUYSiZDU+3qtPdnwZI6Yck2AbQ0qFJS8XsICY/Pdmw1WOsH59nXoeRfiPzoEQpneoTEVHwSoWCjToJEjdSYJCEekoR4ZjkYSQlJGilb2sjOji1lR4kQUcJNlPpqRurmYmAJiWZ0X0rFsIwnodBLSPNESK1UbCZS4hoxIqUclbJtlLqVEmUbp+qNWJVBsYjUuSfLWJeoPJUrq9ouXGCnJaSMzt5hq8H6+bEvQ7F4MdtOKYNR9Y8qeqUol9puVulzkcqPEqIu6DEeIIGQoafaLKUide4c204pSlMqUqVLs+0eDl+Y9uM3VNsmQAuTnTnDtlPKYdTwQKnWsp5X2V+q6/L1kmKhl6QHPUN2RUuUsfNIdR2U0hilkkgpfo0bz64j1auz0/v4sFXeqLKnVLz88rHtB0+oKsKOGcNO26IFO+9eXmw1WEqYlhLSU6dSrHEbpzoLbagJAnTnRfUtrPkM1SlQEwJKZp6YW1H1gCrjt2/ZdmrYoEQPqceiRDHVtSvqOZQo526CvmodpBTzdKRstWNTU3b9pqb2VL+bj2hr1HUoFVfK5ZRqLeXDZcvE2ZcuZduvXdM8L1RTo9q+sqmpnWKpm7tRUG2WqoBEW86Vi/0OMn48+zJm+Mb+BdXOWZLylBwxJSdPKU0TE4LzH/Iz7eXN77KvQzVK6v2S9UwADBQ+MYgmyiizYFVOquJRz0rZKXlkCqoBUfXjwQO2ndU4ARh5hjLtu+JqMO2UcrSuLnu+RPVpLJcrmxQ1TH6PHhLZdpFN39mG3Rl9iWHPWyiFVKoZUnMxSg2W6orc3dn2R4/Y9oULVW1U3keNYttbtGDbqbGTmoNReVSOhZr6HOA77DgcDofD4XA4HA6Hw+FwOJwcBV+w43A4HA6Hw+FwOBwOh8PhcHIQfMGOw+FwOBwOh8PhcDgcDofDyUHwBTsOh8PhcDgcDofD4XA4HA4nB8EX7DgcDofD4XA4HA6Hw+FwOJwcxI+pxIpVGtOWnZLhYEmLUNJblNQipR5LKC5Zn9jGTk9JgRGKNx9LshVpbD89ZV+HKJtDDwoy7S4ubOWmErv/kf+DUoL6HpaUCVE2iUlsRTErS7YCWUQkO/2TJ+ysUGpuVLVxc2PbKQVGStWFqn6UItqtW6oqgwDw7BnbzlQmo2TSKMkbqh4rJUnVqQHKZKk/1O9ZUIUjVn1QrAotJTdEKUmx+gqqgrx+zTT7fmIrjSUlNWTaWYpFALBzJ9t+8CDbTtG1K9s+c6b8v4lsQalUMvI3INq3LFVCSgWVciul+koJjYm9/o0bbPsDQ7YabJEi7PSUmiClqEo1Wzs7tp1SJWWp0yqVE9WpR6aM4YRfWSq/ACAj1GOpIY/yCVXV6tVj26kyoxSDCeE90k5dn9WFUPekFOEopTFKxJBSHB/Ula0WeOaMGQANfK5EW/26WLvGGcwgL5R0tEh1a2cn9jzk5i32PKRnT/blqXkC1SesXs22Uwp4lBrd9OlsuwqKdi6JUq07OlTHSJSZDtHx6uqy55eUiiulAkhN16n+j+ov9+9n2ymlaUqpnZpjUn0daw5IvWpQ6sK5c7PtyuYQG8v+PfkHmkK1H6JTEwifU7el1DW/wYxpN4t8wf4D1qBKyW1TFY2SKSb6rfInFrHTU5K+1EsL0X4W6PZh2nuEqJu0KUhKkv9kZr9O1Q/q3ZG6JzUGUA2Fuq/Ydw3qvoSEaf1chJJwvb5M88pV7HGDmiuw5p5XrrDTqqCrK/8RM54CdNkQ7YSaz1DvJtTcihrzqOZDNc+9e9l26rFYoszUmEQ9KzW+DxvGtlMC1BRKUWPqXYEF32HH4XA4HA6Hw+FwOBwOh8Ph5CD4gh2Hw+FwOBwOh8PhcDgcDoeTg+ALdhwOh8PhcDgcDofD4XA4HE4Ogi/YcTgcDofD4XA4HA6Hw+FwODkIvmDH4XA4HA6Hw+FwOBwOh8Ph5CDEqcQqFWkIdVBKceTNe7a6XK5cbLVMI11CHYa679u3qjZKwYZSFaLSU2oslKQTKy8AqfZpW7ky037+Q36mvbzNY6a9rst19n0pqRNlWVJl+j0sxR5CokWPKEvBkq3ASAmWsZReAFK8k1T2opQlKRdS6SmFMEptlqJCBbad5aoEu9rMtE7e7Gs4G39h2r90HgQAiIyMBNws6MypU52iFJqo9kPZKQUosVDyRGLkgyiJOkoalJCV1Nm7i2nvFRLEtOsz1FQBIIidHCdOsO2LZhLycdeuAQAio6NhcZidBIB6n4tUYWSpEpqbsxXhqO6JUk6k2iYF1YdQfcWzZ2z7169sO1VFKIXH7dvZdko1tFIltn38eFWbslpS6qwpJCTQ7Rggx3FqqFCqXX0PNXRSTZZSCBMp4E6KPlNidJTPS5dWtZklsftX3GOP+0uXFmXaqS6Hqq9XH7HbT93K0QCAyMho9h8qUSpBi2zLpBMpaTPqOmJUDKkxg3I4dW1K/o2Q5PMsWYZpHzKEfRmq3lDZpJRKGzVi2/Mbv2PaExIcAQDx8cCSJey/BSD3na4uu3zEqvwS/jYg1NhlxsTcPomtdhwaw67fVBlTdkocnurvqTkgVe2pvpWlEEj13SNGsO1Uk7Jav0B+74RYsDVFFSjHcQqqnRAPlWhpy7Q/Ifp7amym+nsqq2Z2luxfsPJJTSAomXmqglCDGOVESlqcciIhS9/jQll2+teK98L4ePbvlSjHcm3N11n5FztmUJMlqlFRir7UiyH1rFQjp6B8RV2HeK4Onmxl4A4l2c+141lxFZtSrTopiVwqkBMXJy8vsQq6VHriWT8R1ZtS565Xj23PbDp2ZNtZ7w/UnItSoKX6M0oNtlUrtn3qVLbdOe4pACBShz0msuA77DgcDofD4XA4HA6Hw+FwOJwcBF+w43A4HA6Hw+FwOBwOh8PhcHIQfMGOw+FwOBwOh8PhcDgcDofDyUHwBTsOh8PhcDgcDofD4XA4HA4nB8EX7DgcDofD4XA4HA6Hw+FwOJwcxI+pxBKKI9+kbPVJQpQLTk5se5kCIlVpWCozlCLNy5dsOyUXRaWnpOgoKVFK1oqQfixPycV9IqRLRKqz7SgyHAAQExMJgCE5qCA6yQA6SQYw0Wes7VJlTMirUApblIoUlZ4SD/LzY9spJUdKbXb/fradEp2jFCEp8SNKhOjWLVUblXdKHGv2frYSb9eu8v9+UydIEx8vVyKi6hOlLkWpZlGFIFYJkFI/srERl56SCmJByVNSFZaqmIQE6F/tPZn2oWPY6rEBAezLRySwFflkRXwBKJSBM0Lpcwrqd1Q5MPrAKFO2CiBVzS5dYtspkW+q6K0jn7N/8ZatEFaQqq82bHW5b4ZsJb3169mX2b2bbafaOTVseDKqjlKFUq0As9LfVKER/Tc1JFFFJrYLobJDKZBRww/VFVHzDTMpobDK6kOofoVQJbQID2PbbdiFFhbD7r8pccOn700AAN++JbMTKImNpRVDAbowqT6QSk+VD+VclrPEqgNqSSFR59kmpr21N7uffuHHVgDu25d92zZt2PYLF9j2rqscmfYjR9jpVchoLBerJkjNd4lJlBGlwEiM18WKsPscLy8dpp2ao1EK69QcjYLq66iqNmaMqo01nwOA1avZdmoqU79tW/k/IiOBQYPYiQD1czeqXRFzLuoyVP1TZlPT61CvSiC6FvXy52mgpBypSTzVz1EvCVRFoCpggwZsO/V+qWyfUVHArFnsNMCPz9fF9OsZKcqzoAZgbfXr2lIRpzqFWrWY5gXr2WNzjwLE8xLzfp8WqiqxyizGxKhRiY2OlpejWFV3wofR5uwxhro8JaZMzdGo+a62WLGCba9QQdVGKdxS71WHDonLC/VquWoV2+7mlh+Acg1GM/gOOw6Hw+FwOBwOh8PhcDgcDicHwRfsOBwOh8PhcDgcDofD4XA4nBwEX7DjcDgcDofD4XA4HA6Hw+FwchB8wY7D4XA4HA6Hw+FwOBwOh8PJQYgTnVATsV7Xhi06Ub8OOyByRBQ7oOwXGTu4o5VURLRqKqIpFQyXihhIRaqmov5TwTypQJxUNGkq2CkV6L10abadKIcARVBGdXFcdXXlP4nQU/mdHhXAlYAqAirAJeUSIiY6FfebLOIzZ9h2sXFp3d3ZdsolVPBLVjlQ/qE0UsaOZduNbl2UXy+aCLCuJC4O0NMTLy5B1Veq8KlI9VTgWKqQqfZMBbh9+1bza1B5FGunHB4ayjQPG1aYaaeC47/5asK0z50r/298PPv2KSh9TgUXpsrn61e2PV8+FZN9HDv4foyNPdNO1Xuq2/XyYtuRQAQcpp6Jqq9EvY/LxRad8PZmX2bmTHHZKVeOba9aVdWmzGJcHN23AZD7OSGB7niJwjd2y8u0U01WbIzpv/9m27dtZs8fTMDuo2zfPmFfSJ/oQ14THTsro1Sgala/AtBthMC+EHH9r0RwckUhRwpEBVLyo/06FRSdci41P6Fg9TnUtSmoCkj1x5SSCxX1nygbfaKroESlqDbZrBnbTgkfuLjI/yuT0dUOQMb9OlUPqI6I6iuoyRjRTgQHdpBzSVIi0y6Tsd8R2rcXlx1q+pCR1hILql9nFQ9VlFQXQuXlTaRcsOnbNyHjzCn9LbJfp+YnRuZsnxgaqr4LAPTckxqbKREWcoCg2jkLaj5KTe6pe4rsEyhFjvhmwUy7ATGPTxk3DNgCZCmom7tR/bGYfl2siAQlfCC2XxcpakiOtZRvqbkeoZLZo1FJdvpz4vpM52t7VGwBAXUBaCAKqJy7Uf6myoB4eTUh8mjCmMMDQK5c7HcNpajh91DicdS7tLZgVdkhQ9hpxYpSUusSlCAehbJfpMYJFnyHHYfD4XA4HA6Hw+FwOBwOh5OD4At2HA6Hw+FwOBwOh8PhcDgcTg6CL9hxOBwOh8PhcDgcDofD4XA4OQi+YMfhcDgcDofD4XA4HA6Hw+HkIPiCHYfD4XA4HA6Hw+FwOBwOh5ODEKcS++ULkJhIqp8YUYo6UWxFEwtK6YRSdaEkAlnKP5QUk6cn205JglB5pBSXKJWWkoTCDJUfSl7Fx4dtJ6TJvpmyVbmMFQJqlKCUkmHD5GJr/fur/i6/LlFmRNnr67MVIfOaf2baIyOtmXZK1YUShaNcS6mzbd3Ktq9axbZTKlhjxrDtPXuy7fXqqdqoJmXy/in7F1GEOrJSLVidUpOyjVMKTVSFoQqfSk/lg1AnehPDVo7OZcO2G904z74+S16Xktpzc2PbqTZOPSuhshVdoDjTrk/1yh/Y15k7n63cdOFCxtlKzUg0IJHQckVUXaDK4dw5VRuhyJXXk63aduMG+5motmZvylbQDUN+dnpK+YxqcMQ4QInOUVUnJIRtX7+ebaeEzJRKkWmpoFD+jooCJk5k/x0A+fgqk5Fqa/c/sZVvPe7dZdpjnIoy7VbGbHni3LnZynfbtzPNCG7PVoocP55dRxzc2e3K4NJp9g2oMZjVHqj6QcmeUW2HSk9JRVJq9UoVQHVSY58/y+WiqfyI7e+p9kOpElLXFwOlEkk1EqpMqLkYJe9KyL9R4t/jx7PtlEpsee9Ytn08W44u2iYPAPkUlKoWABBvnxvx5ua4d0/1d1Q/qvOA3cbxhFBepnxCzI8l1GRM2Xl9BzWtoPq3tm3ZdqrZUtnfvJltb9WKbWdNW6h5qtiuQqlKqFZNUDl3o96fiBu8ysXuLx+cYF+GerWqU4dtp7pX6hXKiso/awx+8ICdlnIs1b+KVaal0hN2g9CHTPuGa4WZ9paNFGMzVUhKlD6n3lPFyiCzJDCpPl2sSixVZtQkihpjqE6BktWmxjCqIrM6TIB+TxBbxnfuqJisd+8GAOhRfkx7Lz09ujOg6gt1XepZibUWr9KNmXZquYLqp6l3bCr71NhJweoWli1jp6XG62nj2fPXOYvZ81dKJZYaB5TVT50QdFr4DjsOh8PhcDgcDofD4XA4HA4nByFqwe7248co37YtllKfwjm/HQ8erMKmTcURFkZ8XeD8Vrx4/x51+/TBwPnzszsrnCzi8Llz8KxXD+du3crurHCygLCPH9F71CjUad0aycnJ2Z0dThZw49Ej+LRti38PHMjurHCyiBUrlqJcuZIID2fv1OP8Xjx/+xZB3btjOJ+7/TEcPHcORZs0wZX797M7K5ws4P2nT/hrxAg0HjAAgiBkd3Y4WYyoI7F+HToAANwcHBDSqFGmZIiTszhzpg8A4MWLJ7C3z+D8Bee3wEtxTviGnR2mU2d3Ob8VTfr2BQBcvX8fFaizUpzfhkIBASn/jo6JgbmZWfZlhpMl+CvOYp9yc0O7mjWzOTecrGDIkEEAgLdvQ5ErF3F+l/Pb4K2Yu714+xYT+Nztj6D5kCEA5B9kSnt4ZHNuOJlN4WrVUv4dFx8PI+pYL+e3RPSRWH09PawYNSoz8sLJoVSoMAM+PpWyOxucLOTS0qXZnQVOFlI3MBA9qaCOnN+KfHnkMbAuHjzIF+v+ICzNzLCQFYyW89syb94ieHoScY85vyUnqWBNnN+SlkFB6MQKgM357XC2l8eBv75xI1+s+wMRtWCnp6uLW1u28IryGxEdnXEkW2fnKihevF8W5YaT2ciowK9p2DFjBhypKM2cX47k5IzbeG5HR2ycPh0SiSSLcsTJTNQdlXj24gVG9+0LHyr4PueXIz4xMcPfG+jr4+qaNTCgAnZzfjnUzd2CgmqhS5euWZQbTmajSfiCAwsWwI4SYeH8ckRFs8W0lOR3dcXKMWP43O03Qd3c7U1YGCYPGgRvd/csyhEns4kTIVoi6kjs4oEDUThXLtEKYbLISEhZijLE5PG5lK3sl9eTyO7LlyomoQhbuU4Sx1bk+u9tMaa9hguhmvXsGdtOLWZSCrcMxRgAtHIO5VxLS0RFR2P+ihXo26ULDBX5MDu2i53eywvtBg7EajXxCK2t5+L6dQlT2crQLQ/zb5xM5BPJ7wcR5wdX2TchlEEpdSmjGLaqLO6wlczsPMsy7deusS9DFXG5cmz7/v1se+XKbDul7May60mJSZpCJvL0mTP48vUr6ikluog29c3QFrGxsbAvwlaGVDKmXTvU9/bOsJ6xkMlk7DZO1WNq4ZBQkfskY6vBUgJQeaijnayvz2JVp6hnouyEGqdJVJio9MqymbF+PdoEBcFeMTGfMsKSmfz5JzPs2rUe/fq1Zl9PwcpBg2D87ZsGMnSpCIIAgerXNVgUToFQ3ipduiDTTom2UYq19oZEPabKmDGWZIQRUUfu3GFPoKnbjhjBtuvrA2/ePMbt28cRFJQqMctqniVwHQAg8c94Ie6vJk0wpGVL8lk9bNgqbzIbN0gkEpV+3erJbfaNCN/qEYqQwlui/lHKksZubPsNYmymCl8pp/wdd3OrHh3NR3zHMKKuTc0HqL5FUWZrTpxAcTc3eCnlhqkPKPr6ePDsGTzU7LD4X9++yGdsTCv+EQ2LnLtRcm5UOVAqdaz5D/Ws1EsKpUrIklLOKC+U6jXRn+nI2Iukzvrs6zQvR+TzxD1EREdj8f796N+wIfSUvvBh74wLDQV6926AY9TcTsGcieNhkPANJYwZ7VDGnnNFuHgw27gZ5Vcq7imVnvIhS1kcgKVlINNOKZKmOe2vEcTUE507s+2UMKatjeqLdq5c7DFA2QTPnDmG+Ph4VKki72cokWIDaSKioqJgpmYhbkKnTgjy8KD7S3NzptnZLp7Zxj990mOmp6aGlOAkpZJITZfw8ivbzuoXiGciC5N6d6X6CkoZlOpDqJeEEycgCAKmHTqEjr6+sFE8fLPObJXY4aMMcP36/3DgACErr2BVnz4w+PqVzg/DrxnO3Vj9OtWWxSqgU7La1FhC2ZVj4vdQvqLmo1RdoF4qxCoGR0bi/qdPOP/mDToWT6PEzKqz7u4QBAGWgwaxr6WgR/Pm6N+sGVvNFyA7KJmhIdvf1DMRjTPP67NsuxcxZhPznDZtLJj2nTvZl6Eel1pWYaEQ4lXBz49tT0piy7dWIg4bKofC06dXIn/+cnBykh9Rp4o4KQm4d+8mgoK8iRyrImqHXRN/f43T9vvnH0hy54Ykd27oeHpCUqQIHoeGirkdRyR3Hz7E0EmTYJQvHz5+li9qJXz35f1jRAQkDRrg5MWLahfrAEBfnxjIviMq6htcXCRwcZFAamYGqZkZmrdtK/4hOKJo1qYN6jdpgp6KOGSCICDxO59PmDABhQo54ejR/9Rer1+TJhp/rVu5ezckpUtDUro0dCpXhiQgAIcuXxb7CBwRJCcnY+D8+XCoUwc3FKNVQkKCypc5q9y5sXz5LLWLdQBQujB70sgif+fOkNSpA2ndutBp3x7W3bohTp0UPeen2L17DubP/wu9enkjKUnethMT05f5jRv/QVKyJJ6+eqX2elP79oWhhlryF65dg8TNDRI3N+iYmkJqYoIFixeLfwiOKNrOnYvi/ftj45kzAOTt/vsdNjXat0erv/9G9/Hj1V6vfvnyGt+728KFkNSrB0m9etDp2ROS7t0R+pn4SMbRCpcfPcKQlSuhX68ewr99AyDv19Py5t07SGxscPv2JbWLdQDgQL0gf8fnz58h0deHRF8flpY6sLCQolevLuIfgiOKNm1qo3XrWhg79m8A8o+e38/dRo8egQIeHtiqwVy9Z4MGGt970a5dkAQEQBIQAB1DQ0j09XHi5EkRueeIJS4xEYN37IDtwIG4p1hc+n7uJggCTE2NcO3aYrWLdQDglTevxve3btkyde7WtStcBw9GIrU4xdEKk86dQ6d9++C7ejWSFAt7Cd+V+a67dyEZOBCPqY9paZjYqxf09NgL6d9z8uZNSKpWhaRqVejUqgVJUBCWcdGpTGf58o4YNqwIrl7dCQBISkpSmbs1blwRgwZ1Qv/+7URdW3QMO01xUpy1TrmRVApjI6PMuh0HQBlv75R/l6pRA+/CwmDQtCkGrFiBfzZuRNvZsxGrmAQOmjRJq/c2NFT1bX7q8yVHa+zcvBkAsGDxYjx4+BCDBw+GvoEBbt26BXcPDxw/fhwrVq7E+/fv8O6ddpV+C+bOrWKz4jGxMhUdHR0EKI4ylmjfHoIgwMDGBuWrVMHWnTtR2t8fMpkMX79+xYQJ2o9XZfDdZKGIszN0qG0HHK3QqtUYAMDz5zexe/dcnDu3HS1bGuDatf2YOLEODhyYj8ePLwEAth49qtV752HsPLD/bmznaJ8pwcEAgJYzZ0IQBJRu0ACmXl64fOsW3Pz98eHzZxw6cwYb9u/Xevuz+u7rurG+Pow0fEng/BiBaXaEBw4ZgtCwMBg4OWHUpEkYOm4cQvr1Q6RiIW/uXGI77g9ixhizc+d20+o9OKqsX38QALBw4TS8fBmKfv16wcxMH3fu3EbRogVx4cJ5LF26EE+fPsVXavfnD1LQ2VnFZmnB3vXC0Q5G+voo4eoKACg6diySZTIYGxugevWqWLduLSpW9IUgCIiLi8PBg920em9BEGDy3W7vIo6O7F1XHK0xOVC+Q/jc69dYdesW1t25A4MRI3D86VNUXbYMyy5dwgnFab39Wlb6zcvY3WZH7TzlaI169UYCAObNawgAqFq1KIoXt8bVq+fh65sXERFfcfnyGWzatAI6OqIOuWbOgt31O3fw98SJKOnpiTKKraCdGzdOCZjIyRxkMhkKKhbJWjdqhONn5dtXZ+7ejTEbN2LNiRPIpZiMX6aOMvwgY8bI49z16zc6xdaMKwlnOmm/wtva2GCTYgGvjI8PHj58iFGjR6OWQhVwwIAeWrtveEQEKnftCntra3RWfNkt4OyMMjy2QqYiCAKcFUdDvAsWxL3nzwEAF69cQdO2bXH1+nU8efo0U+694tAh3H/1Cl1q1Eixdfb3Tz3CxckUkpJS23iBAqVw+fI+AMD8+e1x7do+LF/eC4ULy4+ZDpk7V2v3lclkqNq6NaRSKYb1SO07GtStq7V7cNhI0+xyTkxKwo379xEXHw+fRo3w4s0bHDmbejTlCHGk90e48OABJm3divLu7iiieLkM8fODPXX0jKMVkmUyOCqOPDarWBFHrsuPt4+bMQOT58zB/9asgZ2i3z9//rBW791V0bbHjByZYmvQoIlW78FRRblbGgCsrHJh/fo1AIAyZYrj6dMnmDZtEmrUqAUA6DdwoNbuGxYejmoDB8LZxgbB1asDAEqWKAHvNB/8OdpHEATkU7ThigUK4IZiN/zx48fQrl0wzp8/hzdv3mTKvRfu24dXHz+iV5qxu6OvL//YmskkpjkuW8zWFnsePwYANF+/HkefPEGX7dsRmF8eAqwfdWbzB0hKTkbgwIHQ09XFkBYtUux1yrLDQ3G0h45O6sfN+PgYPHv2CJGREWjYsAJevQrFxYunUn5/+zYRJowgU1rr4dOnAQCF8uVDTUVQiYehoZAUKQJJkSJqA2lyxBEdG4tDJ04gsEkTPFas1k+ePx/TFi1SSZu/a2oQ4oVjx2LzvHlaycOxY/KXyHLlUo9Nd+jaFRJTU4waN04r9+DIEQQBL1++xLyFC1G3ceMUe/0mTfBSEZdKuZB35swZrFi5MiXNyZNXtJKHK/fvIzEpCRIAtXx9AQBxCQlQHrO4TcV45PwQCQkJuHj3LlqNHo11hw4BAG48foyu06appK0YFJTy77Zte2Lr1vNaycNexXFn73z5UMFDHp9h5enTkLRti6qTJ2vlHpxUIiI+4sSJ9fj779QgG7Nnt8eNG0cAAJGRH9PYW6b8e++cOVq5/7sPH3Dv8WPIZDI0rpkaz825QAFIjI2xnQo4wvkhZDIZ7r58ib9Xr8ag1atT7A2mTFFJ2zXN4opXoUK4qyVf/KdYKCri6opapUsDAG69eQNJ9+6QdO+OODXiFhxxfIuKwoHLl+E/eDDeKWIqjVi9GvP27FFJW0QxzgLA2LHLMXny2p++vyAIOKgYT6pWqZJiDw5uAnNzCWbM0O5JjD8d+dwtFEuWzEKHDg1T7O3bN8A3xQ5K5RHJffv2YPPmDSlprl26pJU8XFAEmzPU10dNxQt8VFRUyrHoR2ICQ3HUEp+QgHNPn6Lp0qXYpuhfTz95gt6bNqmkLVu2dJp/D0Bw8Gmt5CFl7pY3L4opYsAtOHECkpAQ1F+wQCv34KQS9u0b1ty+jUpr1qTYgvfswbEXLwAAH9OsgXTati3l3/910U4ogpdhYXj27h0Sk5LQME2QNptmzSAJCsK+ixe1ch+OnOTkZLx6dRvr1/fDjh2jUuzz5qluWho4sEPKv0uVqoAjRwgdAwaZsjViQEgIvkVHY/zcuViqeJE7qegwHGxsYEIFseRoTGx8PKZt2YJd587h5rNnSJbJUKRQIXRu1QrL1q8HANy4m14ww8zICGUKFkTTChXgXaMGint4pByz+Fn27r2EBg18sW7dElSrXBmHjx3DDcUuvsKFCmnlHn86t27dwpRp03Dy1Cm8efMGUqkUwa1a4er167hz9y7OnlddmClZsiSKFSuG+vVbomTJMtDV0m6oamXLYvPkyWg2ZAieKb4Kvv6YuoDgRgVV52iMIAj436pVWLtpEy5fu4a4uDg4WFujT7NmmKPYSXnm5k2VvytbujQqV6oEx7y+KFPGD1FR2mnjawcMQLMpUzB3zx40KFcO5+7fx8kHDwAABbm/tUJ4+Fts3ToBt24dwdu38henEiWqwdXVA1eu7MeHDy9U/sbWNg/y5SuFIc18UdLdHZZaOpbu7OCA+0eOoGj16th+8CCsrKzw5csXfFBEAPYqxhZq4ohj39mzWLB9O87dvo2IqCiYGBqib506WH3iBMKjonCAoY5UyccHXoULI7BkSQSUKYPY+Hit5GVEs2aIjovDtB07sFSx8+rYw4cAgAK2tjDgu2l/muiYGExZvBh7jhzBrQcPIJPJ4JU3LzpUq4aVh+W7524pdk4rsbSwQBlvbzRv2BBmjhVRsKAnoqKIoOwikEgkuH7pEsr6+eF/y5ejXDlfXLhwFvfuyV8iChXiO+a1wbVr1zB9+lScPn0K7969g46ODlq27Ijz50/i6dNHOHv2uMrflC5dBkWLFkOrZo3hU6aM1o4v1vP1xb9Dh6LdpEn48OULAOCRYucPALhQAgwcjZHJZFi0YQM27NuHK3fuID4hAc6WlugdGIi5x+W+Psf4qF2mjA+qVauOq1dLwtXVF/HxP9/GAWDLkCFoOGEC5u3di8peXrgdGorTCp8X1DDWJSdjXn39iglHjuDI48d4qoj5Wit/fhTKlQtHQkPxmCFykS9XLpR0dkZw6dIo6ewMc0qkSiT5nJxwa+lSeIWEYP/FizDU10dcQgK+KITlPCnhDo4oTpzYhS1bFuH27fOIioqEoaEZatToh1OnViA2NgJ37qjGjS9Txg9FinijTBk/VKgQiNhYQryFgbjZl4GBXPWMUitSHLfUAfDwxQs4OjigZu3awJAhAIB79yJhamoGpYaRqwP7a60NpXIbx1ZjeWhcQsW2ndjwUacOO45ejZf/Y/9BqEiFGSpuG1VmVGdJXf/JE8QlJqLm3Lm48Pw5mpYqhb/KlkWFvHlRxMEBUqkUgwsVQkJyMqLi42Fmbo57b9+iXP78cLCwSN0Crdghow5DQ7nKCUtAMm1YjbCwWLx9+wrVq7fA0+uhAIAG/v7YPnWqXMTg3j1a6oVQ2SEjHlJlSZSZyTO2iqG7O/uFkxLZokSRqLUKSiyJUsdipZdKdQAAFy+eRnBwTdjbO6FevdYIKuSI8l5esLWyQnxCAm4+egQrc3MkWFjg2YsXyO3sDCcHB9haW8svpKhnkZTykhILC3kGKSkwxXUkAB6Hh0NXVxdNmjXDwNmzAQDPn4ciTx65erAAQPKMOJ5JFQKRv+KRxNZhywJs+5NQtp01IFL1iQoCSyxAx1o6Mu3UO26anerp2NZsEwRBQLfly7HkyBHULVUKE5s2RQUHB5RwdYW+ri7+9vZG2LdvkACw8PLCqZs3UbVUKVibm6cKCuR2ARCKSKhZsEtKkv9QkwVFxdRJTMSDFy9Q1MUFbmkWhRIXLYKujk5qnWEFMqb6OSLoMdUGN25k25s1U43JAwC+kUSQXWoHKKX4RSlXEs7Nl4/dt1CbJDw9gdevQ9Gzpz/i4mJRs2YzlCo1BgYGFWBrmwcymQwvX96Cvr4x4uK+wdAwDjJZMpycCsDa2hESiQRVvOWTRLUfYRwdATMzukNLE+fkWXg4ZDIZfP39MWH+fADAhjlz0EJ5tOb9e1r5kVJfpsSnKPESxaKwCk/YquCklCN1/QLsPqSou6pCd3B7HWbahQvZ4T7MChH9nOJj1sJt29BjxgxUKFYMA1u2RIVGjeBTpgxMTU0x6ssXPH7yBObm5tA3NcPp06fh5+cHW1vblLhjkhvXAUFIiU1Lkpgof37KJ4rBXAfAg9BQ5LGxQeU0c5mogQNhIpcslhuoj65Uv04pULOk0UUq14lVdtak3qfjCrErnZIkpfrRe/cQHRuLagMH4saTJ2gWEIAetWqhgp0dPJydIZFIMCQoCMkyGaLi4mAcE4PHHz+iTO7ccDA3l8/dkpIAyVPgyVNEUs+hRF9f/sMaU9OERIl+/Rrv3r5FYXNz3IiVz8kbNAjGtGn/QiKR4MMH4APYwe0NS7PtVMSVmjbEDk1ikcjLkp2csYYNAOjenW1vQpzwLV9OVd0VAOwTiAGIaj9xqkfGdRRpjx49iroNGiBPnjxoFxyMb9F+yJ+/AkxNrVG+fBxevboJE5NcqFQpCU+ePISbW37Y2TnC2lo+5ijnl2rnblZW8jZCjWGK8VkC4MmLFzDQ00PT8uXRV9Gvv7l4UR57/OtX4OtXlMjNbm9OTtZMOzUMiBVltqUWDFllT/X11Hi9dSvbTs0BqVAAlC927oQgCOiwZQvWXL+O+h4emFK9Oio4O8PbwQF6OjoYVLIkPsfGIlkmg1Xlyjh98yaqlC4NGwsLGCiecYuTfDetuiYOXV35jxrxCKlEgodv3qCCuzucFM9qbmCAz336QFcqTZ0Psfouqq+n+mlKKZeaT1N2qoyp/p4qLCr/VJkxYnMDoOcb5uZ48uUL/Netg0wQ0NTdHb5+fqhQtChcLS2RLJPh5tu3MDUwQHRCAr7dugUdiQT5TEzgqIzrX7AgACCSeu9SYm8vn7tR9T6N/x4pYuIFVK+OfxQ7/fbOmYPaFSumpqfWGagxjPKJyOvoEfnX12d/bKb0dKZOZdtZUF0C9SpAbTRWTmUOHZqJzZsHoFChSqhWbTDy5KkANzcf6Osbo2rVEfj48QkMDMzg52eEK1dOolSpSsiVyxbGxvJ+NTJSPn0Wc+BU1ILd90qEVJotO3diy65dWL1oEWwVpVSlSh2YmvKA9Npg3L59uPD8OY727Qtf5ctGmkG6QNqXY0NDeLAmxVokOvobJkzoARMTc7RvPwAXTaJx+OJFTOzeXWPFUQ5NfHw8unVrBi+v0li9eh+MjU3g/OF6yu8N9PXh4+kp/x8HBxQVofr5Pd+rClNcu30bE+fPR+8OHZDHxQW5cuWCRCLhX2e1xNaLF7HkyBEs/+svdFQErk07KDpZWsJJ+YLp6Ii8juzFQm2RmJSEUdu2IfTTJ+weMACRsbEAgCVt2sgX6zg/zbBhnSCVSrFz5zU4OMjb0Y0b8t9JpVK4uXmnpKXeLzThc3g4zDXYhff6zRv0HToUVfz9EVS1KupWqYI9R4+ibpqjc5wf5+6zZ+g9ezZ6N22K2X37ysdKhaAMAFhZWcGnTBkAgKBvgLwiFAF/BEEQsObMGey5fh1beveGvSIIfTMPD/liHeenGbliBW4+fYqTc+akxnt9myoGVShtP/7pE4pmcr8eGRWF7lOmwC5XLvRp2RLhRi64efMSevUazeduWiA6OhrNW7WCn68vdu/cCUNDQ/xvRep4qadniHz55MdSCxYEChbU7EM6iyQNFT8vPniAaVu3YmDjxnCytoahgQFsra3hYGv7w/fmpLLm2jWsvnYN61q0QCtlXMA0q5YuFhZwUQp8ODkhbya/nyUkJmLov/8i7MsXjA8OxmvFAtniGjXki3Wcn6bt3r0w0dPDqdat4aD8sKSYn+tIpSiZ9r3o3bsfvs+XiAiN5m6hr19jwOTJqB0QgICyZVHFxwdHL11CYOnSav+Wo56XL69jy5aBCAr6G40bT4ZEIkn3YcLEJBdMTHwAAM7OgLOzm1buK6q1hkyahAjiS2lsXBwWr1yJ4hUronmnTqhTowZaN20KAwMDtG3bHUeP7sXu3cT2CI4oLoWGopqHR+piXSby4cMW8nehoY8wcWIvVK7sjDNnDmDkyEUwNTVHqxo1YGFqCv+uXTVeAOLQvHv3Gh8+vEe3boNgbGySqfeq27cvXrxlq8nKZDJs278fgc2bo1Tt2sjj7IxRffoAACZOnITPnz9jxAjtKtj9qVx8/BguuXKlLtZlIlM3bVKRHVfy4csX/LN9O9z69cPUvXsxumFDFHF2hk++fCjm7IyeGzbgIbWVlCOKW7cuomnTzimLdZlFlcaNcYnaogLg9LlzaNquHdy8vPA5PBzzp02DRCLB4L/+AgA06aE98Zo/meuPHiE5ORmjOnbM9MWRHosWIUqxyP49MXFxWHD4MDyHDEG7JUvQxMcHjcuUgamhITp4eWHz/fvYqTgWy/k5Lt2/j1ply2aJONMuRhw8JfefP0e3SZPgVLMmjl2+jCVDh8LY0BCNGrWDsbEJWrWqRI4JHM15/vw5Pn/+jMGDBsFQS8fdKBr074/XYWHM3yUnJ2PzqVOoNHAgyvXti8IuLhjSvDkAYMqQIXj19i3GaVGw6E/m0uvXKGBtnbpYl4nM2b4dMmJH5bvwcIxcswa5O3TA3D17MKFtWxRwckLFokVRKFcudNi3D6FaVh/+ExEEAZfevsVf3t6pi3WZRNVmzXD9NvvEGAAcv3ABjXr0QP6qVREbF4c5ivexYR07AgBa8/czrRAaehWCIKBu3VFZ+mFL1ILd/nPn4N26NfacOJHSSbz98AGzVq+GR7166DFoEPLnzYvD27dj9/r1KTEXxo6dB1tb+3TqGJwfx69AAZx8/BjJ1NZ3LfLoUWfcu9cG797J943KZDLcvXsWs2d3Qf36RfDff1vQpk0fHDjwDFWryoPo2lhaYtWoUfj45QseUMefOBrj6uoGe3snnD17LNPv9TosDMVbtMDSnTsRp4iLFBEVhVX79sGnc2c06doVSUlJ2DB/Pq4fOAALxZGBkJAQVKtWDadOncz0PP4J+Lm743V4OJ5kwWLYhPXrEThwIK6m2QN+NzQUQ5ctQ4F27TBt3z7UK1kStyZNwsiG8jYulUpxsE8fJCYn49J38ZY4P0apUn64cEE1lpG2sbK0RIXatTF65kyEKybs8fHx2HXoEGp36IBKtWrh7oMHmD1pEp7fvAl3xRFw39KlMbBLF5y7elXj3RwcGr/ixQEAx6+KUwr7EbafO4cSvXvjwJUrKXO3158+Yfr27SjctSv6rFmDIs7OOD5sGDb36pUyCf1frVowNzDAaYWiIefn8CtWDCdu3NDotMrP0rZTJ3QMCcELxY4OmUyGU9euoeO4cfBs3hy7Tp7EwDZtELpnD2opApPb2TliwoT/ISzsLV694sJRP0vhwoVhbW2N4ydOZPq9nrx8Ca+mTbHy4EHEK7Z7fI2KwvIDB1Cqe3c0nzgROlIptgwfjstz58JUcRyvd4cO8CtTBqe0JGrxp+Pn5oYnnz/jdUREpt9r1L//otrgwbiR5lzf7dBQ/L1iBQqGhGDO7t1o6ueHuwsXYmAjeQB8HR0d7G/aFPHJybjMP7b+NBKJBH4uLjguNjTDD2BsaIiytWphwtKliFCEPomLj8f2I0dQ/a+/ULltWzx+8QILRo/G0yNHkF9xvLeyjw96Nm+OM9evkwu8HM0pWFA+Xj54kPnz9bSIOhJ79n//Q+8ZM1CvZ0842trCxtISd548gZ6uLupXroxDO3eiEGPXl1QqRWBgLVy/zpVJtIFv/vwYs3cvLoeGohwVM09LFCq0FM+eDUHHjuuRJ48nIiM/ITz8HWxtXdG79wS0adMHBgaqXw5rlCsHiUSCS3fvwktxPp/zY+jo6KBoUW+cOXMUgiBk6or+2VWrMHz+fPw1dSoGL1oENwcH3H/xAgmJiQgoUQKnt26Fn48P829r166DgQMHQCaTaS1A8p9KRcUOjCO3b6NAJgs6HJg0CT3nzUPp7t1R0NkZMkHA07dvYWlqik5BQRhZvTpyMb4cOllawsPRERefP0dw+fKZmsc/gaJFS2HNmrmIivqWqeEjDm3ejFlLlmDyggWYumQJ3PPnx/NXrxDx7RuKe3hg44oVaNawIbOfqVulCqb/73948PQpPH/i6D0HcHN0RC5zcxy9ehVNKlfO1HudmTIFPZcsQa0xY+CUKxdymZnh7suX0NfVRaMKFTCuXj3kt1eNw6cjlaJ2/vy4SOy65oijfNGimLJhA249fYrimXxCYv6sWRg+Zgz+XbsWnvnyISw8HGHh4cjj6IhpvXujZ/Pm0NfTU/m7gIDaAIAbNy7CzY3P3X4GPT09eBUrhqPHjmH8uHGZeq9zq1djyJw56Dh9OgYsWYI8dna49/IlEpOSUKVECZyfNQvliNjVdatUwVi+w04r+CkC+h998gTtSpXK1HvtHjcOvebPR4nevVHYxQWJSUl49v49cpmZoVutWhjerBksGXO3/FZWyGthgYtv36JpFuz2/d0p6eCAlbduITYxEUaMPlVbHN2yBdMWLsSYxYsxYdkyuLu54cmrV/gWHY2SHh7YNm8eGlavzpy71alYEfM3bcKz169RgIrTx9EIB4fC0Nc3wv37R1G8eJ0su6+oBTs3R0ccX7QIF588wc5jx/A1MhJ9g4PRqGpVWJqbswMIKzA0NEJCgnaUzP509igi+mbFVkw7u+awt2+NMmU24eHDSzAxsUCZMrVQtKgfcuemF2V0dXWhq6ODOHXBsDlq+fgxDJcvn0GePPkz3eeWpqZYM348RrVrhw2HD+NVWBja16qFxoGBcLGzI4NDA4CRkRGSkpKQlJQEfR7z6KfYd10eo1CaBW28QpEieLhyJfZeuIBjiqBplb29EVSmjDwIcgZfYQ11dRHHd1v9NImJiTh2bDd0dfUgk2XuUTQ9PT2MHzoUvVu3xtqdO3H/yRM0rlkTDWvUQNFChejg+0CKoEmcllRJ/2Qu3LmD8MjILGnj+Z2ccGbqVJy9dw97Ll1CZEwMBjZqhAblysHCxISOAA/exrXJXoWSe1bssAtu3RrtgoOxceZMXLl/H7ksLFDb1xcVvLwgySDuqL6+viImD2/jP8ubN29w4eJFlMiC45G5zM2xccoUjGneHBuPH8fbz5/RMSgITSpVgqO1dYbCBIYGBohPSMj0D8J/AvsVIklZ0a/7e3nhyerV2H3yJE7cvg0dqRRVihdH9RIlmIvxaTHU1UU879d/mvikJOx7+hR6OjqQZXK/rq+vjykjR6Jvo0ZYt28fHoaGokm1amhUtSrc8+alxSIAGCnmbvE8TNVP8/jxaSQkxEIiydqNKeJUYl1dITEzg6O9D7r5tkoxRyh+QgllqNGjZbhwYR9y5aqBtm1T7ccPsdObvWXHS4nNzf6iz4q/HRTEvjb5MSHGi20/c4Ztp2SRqR1vlBIOJV1C7Kq5fuoU5h4/jkmNGqFs2p1rlHoLtf31yBH5f4m4Nkrkj2+M6OgOADoASBXLURyLV6Fo+EEcefQIiUlJ8IuOBg4elP+CCnhJ5ZFS/aEirlOTIkJ5x8mSnZwSf6tenW3fv59tv3OHbafWtVlrm0lJwOTJoyGTCZgzZ0eKQs1tXVVlZAAo5sAeMOIT5JOH+CQ1AgFSKSCVomCxYhhVjKF0SSj93gp3xYYNe1GsWFk8eJC6WFdcn1iwpRSDCUWnRC/2l0pqLenRp+JMe5XKjOtTjqKUDYn4X0bEYBnvVYZp37aKreYZs+oDuv7vf2hRujS6lCqV4cs0APr3SiESdRPHpCToCALqlyqF+mm/CMtk8rZDyCW9Dg/HjVev0Lt48fTKn16MvpSq9ERbzk2Is6WJyZ8Ocpe/WNVKajcjpVRKjAPUBlNKsGzkyOV49OgOunc/hRMnLNWmZ30gvf9Brt4XFZXxRD3RwgaJ5uawMzZGf4WCe1q+ydhxMs0MY7D35EmYm5nB08srZXKYCPb9Ppiyx2vnKCIeGhU+garf1PhAvYTUq8c0f3RgK/qGM0ThqCHMLOkL+xdE3oXERHSdOhUlChbEtK5dU/N87x4zvYRSK1S2H3Vf9aVSSHR04Jc3L/y+F6+IiSH7tOSrV3HgwQM0t7UFzp1L/UXVquz7UA2RGrNZfaZaacTvoNoytSuQGuCpwYSaWxG+ovJz/sABLNu3D7MbNYJ3bGyqlCqlsEeokafMSdUtmt+8CVMTE3T28UHntLvi370jFQ/z657B9ps3IQgCGn57ivx758h/QSg/7nhblmmnlPdqeoubB58j3hE6dxZ1GVLsc8dO9tjYsAH7w+TRY+z0rNNwHz4AmzePhERiBP+ALZgyXT73OkVEBlJOyb+nTRv5f9U2i9hYQCqFe6FCGMOqO0TbvBuVBxsPnYO3ty/uRbul2IuGX2emt8/Hfm2Mi7Ng2qkhldy0+4hQZWa9Q4l9R2DNTQD63WHnTrad2KH05eVL9Nq9Gx3KlkUbX9/UuRdVMYkP4N4K3UCqa0tBJoOuRIJG5cqh0fdtVCYj+6in69bh/ufPGKWjA2zenPqLkBDVxFTeqQ97VKbTiiGmhZKUpjqR14SCc4UKbDvVr1P5oTYbEHPYhWvW4FF4OC6WLQuTtO8SRYqwr8NaI1BeW837uBJHe3sMZL2AU776+hV7T56EtYUFCjk7p843qIkqNeeixndqoZDyFTGx9fRknyyhNqOnXU9KC6vqUI9EdRWU/coVGf79NwRubuVQq9bElOUFakpEzeGV1UxMaNMsWR6MiDiH+PgXsLdvnRW3+21Zt307qs6YAUtjY3SpVCm7s5Mh627dQhFbWxTP5ON8vzMxMdEYNKgNNm1aglq1WsDZOU92Z4kkIiIcZ84cQK1avI3/DGfOn0fxceOQkJyMflWq5Oiv3Rvv3YO+jg4a8aORP4wgCNi2bTh27eoNV9cyyJevYnZniUQQBKzfuRNNatfO9ADqvzPPXr6EX48euPnkCXo2agTjHFyWx758wfuEBLRmHJflaM7K//5DrcWLYW1igg5l2YtcOYV1V6+ipIsL3LnPf5jY2EisW9cM166thrd3G1hYOGd3lkg+fXqPixePok4dPnf7GY5fu4aSU6dCJgjoExCQo+du66OiYCqRoB61msBRi0wmw6CDB/H3o0eoZGUFHwv2gnVOQCaTYcOhQ2herRr0dMXt0+Kk8uLFQ8yYUR5hYQ/h798LenoGWXr/LPHcx4+bYWDgCgsLv6y43W/H42fPUEgRFLhxqVKY27IlrDNZjeZnSEhKws4HDzC0YsUcPWjlZJYtm47JkwdBX98A48b9D40adcjuLGXI8eM7IZMlo3r1ZtmdlV+S2NhYlK1cGbfv3oWPmxt2dO0KT+ecO8kHgM3376NuwYIwN8jaQet34fr13Zg3rz4AoEqV4ahceWg25yhjrt++jaehoVgyZUp2Z+WXJbh/f6zduROudnY4PHMmqlJb9nIIWz5+RAEjI5Q2y7yYir8zd0ND4anYtdKyVCnMatgQ5opg/zmRmIQE7L17FxPrZF1cnt+NPXsmYMeOEdDTM0bTpqtQokRwdmcpQw4f3gapVAfVqjXO7qz8knyLiUHJjh3x5PVr+ObLhwPduuX4xe7NUVFoaGICYx5r+ofYeucOmm7cCAAYmz8/BlIn7nII52/fxusPH9CaOnrIUcuIEc1w7NgWWFvnRZ8+J1CwoH+W5yFLFuy+fbsGC4uKWX7e91fk9MWLGDhhAjwKFcKYAQOw67//sHbbtpTfr+/SBfo5fIX80efPiE5IQKU8OXdHWE4hMTEBy5ZNwqFDmzFw4ASYmprj+PF9WLFiJgBgwoQVqFu3lZqrZD/371+Dm5s7rK1z9kQlJ/D48SMMGNAHSfGxWDZvHk6cOYO9Bw/i9t27AIA93bvDjjrDk0NIkslw88MHBCuP3XJIBEHAhg3/Yv786ShevCPc3QNw48Ye7Ns3EQBQrlwr1Kw5PptzqZ5rt29DKpXCtwz7iDcnlU+fP2PQqFG4dfs2lk2ahGcvX2L/iRNYqzhitXvSJHj/AmJM1759QyULC/7hTQOOXbmCwQsXomS+fPi7WTPsOncO/yrOORro6WF1mzbQzSB2XE7g3vv3SEhORqX8+bM7KzmehIQ4rF07DufO7UL9+lOgq2uAW7f24fDh2QCA5s3XwtOzYfZmUgPu3buGQoWKwcKCOAPGSeH+mzfos3o1YGiI/w0ejMOXL2PP2bN4ojj6t7tLF+QyYYeUyCnEJSbiXmIi+uTgHWE5BUEQ8L+rVzHn/Hl0L1sWPi4u2PPgASacPAkA6Objg5EZxPzNKVx78AD6enrwoY7pclL48iUMy5cPwPv3DzF8+AqEht7H+fP7cezYFgBA16574OhYNFvyliUrP4KQCJmMB7BVx6FTp1BDEbDi0o0b+HfzZujr68O/XDnMGz8eXVq3hv7Ro9mcS/UkKs65JyRnbvD034Hu3Wvh4kW5T7t1k0/u7O2d0LRpJzRu3B7e3r/GrtSkpEQkJnKBEXU8f/4cxYqlHiHN5+UFiUSCsqVLY+zw4ejeuTOs//svG3OoGYnJyZAASOAS8WqZNGk0pk+XKwQ+eDAAAGBkZAFv7/rw8WmG0qWbkGGschKJirgn8QkJ/EhsBsTExMCuUKEUYYGSdesCAIoULIgBnTuja6tWKJDDP7opSRQEJGSBQMKvzu7Tp1F/8GAAwJUHD7B0/34Y6OkhsHhxdK1dG51r1oQuETcuJ5GomLMl8GD0GSIIAgYMCMT9+xcAAHPmyHckWlm5oFKlLqhYsSPMzNhx/3IayclJfO6mAQ/fvkWRQYNS/t+tSRNIpVKUK1oUE0JC0L1hQ1g+fpyNOdSMBOXcjffrahn033+YoYjd2nPvXgCAlZERmnl6ooWXF+p7eNBBKXMQyrlbYlISdH+RuUd2EBPzDcHBqWG8goPlMS/z5fNE69aD0LBhN7x/n5f680wnSzxnZlYG798vR3z8OxgYOGbFLX9JBk2YkPJvUxMTLJkyBfVq1IBpDv9i8z3FFdvBV924gSr8Sy1JZOSXlMU6AKhfvw3ateuNYsVKp+xo+FXmzSVK+GHbtqW4desCvLx+jYlqdrBkyYJ0/z9/+nQ0bdgQdra22ZSjH8NITw+Fra2x+vZt9C1TBjr8aAWJcrEOAIoWrY4aNQbAw6MydHR+rYmTb5kykMlkWLttG3p0yNlH9LOTIydPplMBHdGzJ9o3boz8aXecU8GYcxglTE2x89MnfExIgC1X/ibpO2dOyr9tLSwwr0cP1C1XLkfHJ2RRWhFMf9WlS/ClBNQ4CA9/n7JYBwC+vu1QtWpv5M5dImXuRulq5TRKlPDF7t2rcf/+dXh4sMXMOMCsAwfS/f+igQPRJCAANr/ADqu0mBsaIr+eHlZFRaGbuTnfPZ0BM9IILdV1d0ef8uXh7+aW43dKf4+ftzcSEhOx4dAhdCTEtzjA5ct70/1/ly5jERQUDEdHtxQbpWGSFYh7Y/j4EYiNRR5ztupmHk92XLUJpV+hw+44GL/3xX+tW6e+3F0gZDUIjIiXQiOGKo0ttWXhpRvbTnW6lKwspSpESR8RqkJKOZODFy/izkO5et6xWbMQqJzc376dPj2lhEMp7FG1Sym3qEaGaMkSwMiILSrWI4SQh95cAE5WVlh78yba1KiBGkplJmI3zmUpOwhzGeOL7OtTci9UXD/Ct1bm7B2AVg5sJbOrr9nHPSkBTEqQ6swZICkpARs3yr/WlSjRGC1aLMTjx3bYvz+96uz/pkcwr5FsSmxnJ8rGQOFng29sZdIUjI3lP1R9Isq4dQlrjADwV0ggwo4ehVnKIrPIlzyiPuqBXddcXNjqiJRYUqKu6jE0PWqxiVKvohxOfLlSqgjdv38XW7ZsAgAsXrwaXVo1gJR1b0odkCUjDLAl6oBUqSR1UmPJyfKVYUrJmqhThSUSbAkLw8KdO9Erbf/GOiZLKS0S13Ymtu63q0zkkeIUUTbU2xQ1DhAyVdFe5Zl2XZl8F8a8eTMAAIUKuWPDhp0QBLZAB7UWQhXbsWOqtsqVFXmKZv+NklevADMzQEaowVKnsYspYm/1HD4cNQoWRAGFwl24lP0RjhqCnV0IdTaqnlKFQAkaUcqBJ04wzbae7DqVq1Kgiq1Pd2LMOyFXNvzw5QumKD68/dO2Lf4eMACGyhiPadsvlXdqvKbKRjmmqnO6jo68fxKp/lbq0yf8m5yMkPPnsU1XF1Llyx0l00n1pVQFZ/mKWsykZNuo/vLGDbY9rdptWgglVPK+irLcfeECnr99C6lUihOTJ6Oisiy/V2ik5oZUQ6HKQdm/xrHn4Sl8+SJXkmX168Q99Z48gaWeHpZduICWBgaorIzFRchzN/T7yL63DzFWXWGrEVOKjZUqseeGVDOhYug3acK2k4tqRB2p4lca8fHx6NxVvlO6VfPmmDNjBh6/VI03S3VbDGFuAPTwrlw3VTd1g5GRvACoGxOKpP/8I1cXb9q0KoCXAOTjwoUL7MW7smDPSQmhaVJotU+DF+xfUAXB+npNqbdTk2+qglCKpIq2duPBA+xU9Ccbp05Fs2LFUhe60vbNVF9B9X/EfcON5e9/6rp16OvLf6h+nSjLgomJ2Adg+fPnSNeTs8qY+uhAxW2jnpXyFRVWhbrvo0dsO1VvKIFGanwwN4cgCJh4+DAAwNvZGVvat0eBsDD571+9Sp+eeu+kXkJYfamyzNQ6XA1E/S7ToAHQoQM6jR+PKs2aIY9yvk75hNopQs1DqLGIug5RXx2c2BsXTKLCmPYIQ/Y7eVE31XK8/5I931W6KSzsHQ4floeiGjFiMurU6Qt9fdX43GkF19OyezfbTo09yqJUqwSdhizZFlFdscvq6PPn2ELITP/JLNixA7WHDkWtsmURuX8/Akv8+l+5vFxdAQBBU6dmc05yHjExXzBvXnVcvLgabdv+iy5dtsLMjHiJ/UXIo1jEio2LQ7/p07M5NzmPY8cOoXr18rC0zIXbt1+gRYtg9mLdL0SgYnLa+8EDfIjnIQ/SkpSUhF69umDEiEEYMGAoLl26i4IFf2013bRf4it265aNOcmZ3H/5EmV798bTd+9wfs4cjGrTJnWx7helpqKP2ikI2MePUKkwc/t2NBg3Do0qVEDk1q2o+BvE9CyiWLGvoojTxEnl06dPqBIUhC3bt2PD6tVY9++/sKFezH8ZPBT/DQcwIjszkiPZe/Ik/Nq1g7OdHV4fPozmQUG//K40pRZ9FwDE8u4fS0JSEoLXrsWI/fvxT1AQrg0ciAK/2AmY70lbX4OoFaQ/mLt3b6FGDR+8f/8WR45cRe/eg5mLddlNlrwxmqZZcX/yKwTryUJuP3uGnnPmIKROHewcPx5mv4nMdoCHR8q/Y/jLfDr27BmJFy8uo0+foyhXrm12Z0crSCQSGCm+iN35BWL1ZCURERHo1KklSpQog4MHz8DVldht+4uRL43a4Ut1uz3+MNatW4XVq5dj0aKVGD164i+/OKukrkKt/P3nz9mck5xFcnIy2k2bBl0dHVyaNw/l0ox/vzJptWGf8gW7dFx+9AgDli1D73r1sGXYMJj8n72zjI7q6sLwM3E3EpJggeDuTnF3d3daHEpLgeJQoFAoUFwKFdyLuxWH4h/uDoEI8cz3YzIhwN1MBpJM5D5rZRFO7py757juN5ldf5WoHuv0p+qH+H2+Hz6c8xcvsn/nTlo2b25qc+KJ2ItPl0xmRVLk5evXtP7+e74qUoSDS5aQPomrv8aV2PfG7otPpU7m//svf54+zd/t2/NjClic1VM5+qThVemEYiolIiKCb75ph4ODIzt2nKBAAeXT5EmBRJlFOFlbkyd6hdpTOj6aCnn+6hX1hg4lV6ZMTPvmG8yT2b34T1Ej1pF0sxTS4MUHu3cv58CB2dSu/SPZsn1l+APJiK6NdKIZeVTfNzGEh4fTunUDIiMjmTVrMY6OjoY/lEwoHktlzDqFLEjFB6dOneDbb/vQpElL2rTpaGpz4pUmFSsCkD6Z7zjHN/3mzOH09evM69ePTML1vuRIWkC/vZDczxHFJ09ev6bR2LEUyJKFyZ07p5gFeYBasRbsUspkNT5YsGkTi5YuZezIkZQqqXxVN/nSJfpfwQVQKiQsPJx6ffpgaWHBotGjsU8hhykAYl/+T3rniEzH4QcPGLRhAx1LlKCl4AYgudKsYUMAckkuJFIhWq2WwYN78L//XWLq1AV4e3/s2iApkWijjDrZsuFuZ0frFHBlID4ICw+nzQ8/EBQSwo4pU7BN5ldnPiRfhgy42NkxoGZNbFRn1QBcv36GGTN6UKpUB6pVG2Jqc+KdUvnzA/B9584mtiRpoNVq+Xb6dI4dO8yKFZvJlMnH8IeSEW6WlpRzcaGymxv5U9BC5Jfw9OkT2rdvTr58BZkzZ4mpzYl3ikX7dP2lXz8TW5J0WLpsGbM3bWJ2795UTgHuLGKj0Wiob2aGN9A0BS1KfQkhYWG0/O03IqOi2D52LFaWyn5UkysFXVywMzfnh9y5Zf+uqYxjFy/SZ/p0enbrRt9vvjG1OQlAaXQn7Qaa2pAkgVarpe+ECZy+fJltv/1GuhS0CQPgCRQDagPK3nlTHw8CAmi5aRMlfXyYl2JOz76jePQC5OTRo01sSdJh5cp5/PXXYn75ZRElS5Y1tTkGSTSZOi0QGhGBjSopTHh4OC2/+44Dp0+z9aefyJRCjlnHRqvVotFoUtTO85dw69Z5vv++Gpkz56dly99S5M61XhlRPVGpY+Tcucz4+2+mTJlFmTIp6zSlHi3vX6hJzTx//pw6daoQHh7O77+vwiaFXJFTQs1zHatWr6ZL9+50rVWLHnXqmNqcBEELhKGexACdf6OmM2dy/OZNdk2YgLfkZD4ZE6XVYqbRqHU8mtNXr1Jz8GCK5czJL1OmpMixm66Wa4GUc8vnc9FqtXw3bRrzVq9m4ahRlIjeiE5pqGO3dzwODKTyihWYm5mxokMHrFLwOoU6J9exadNyxo79mq5d+9CyZQdTmxMnjCuVjx7pVEgkP3SSdNPu3VR+/Zqfw8J4sHUrPvqJjHQ0U1KfkZR8lI4qSz6VJEVFSRpPCheUmLTFiiuG680JDw+nX7+v2XzwIH//vY4qBYUj6JL9knKllPaCmltAtEJggKQoFU3LnGdxcnAAFwWFs4WCitn581gCX3l4cOnCBZ0sKoAgJ13c4qxyPHYuyuGSIpKkqibsjoU7uCqGWwqNddECygqBOXIo77DPn6/79+XL28yaVR0nJx/atNlOoULKR+uV5vdHLiqrwUpKNeaS5IxeITE4WPnveu7fB3t7OS2l8hIRQeVoX4WX1q0jm/4kbfXqn37fhwidSbvOymks6Vt4Ognf8+3HSlJBXlkVH7WX2jlBbU2PVqtlxsKFjF2wgEnDhtGjh/KO/PO3yqpFHpIy9SfSXhG90q+kmqknJESX7tL3ldRjd+6kMrAg+vcYov2cvYd0TVpq56T2TPou0gBLShtBhVZU8xb6Kvs7Op8/bwICaN6tG37Pn3Jg6VJy2kbCi9sfPZ82bRbFeDI6KSvvnb6hXP+VzNQLfhmq4idP6rpMKeklAXRPFxfyFimCh5sblx4/pmm0oq50U0g6WP08Qrnd9ZBOMUjKvVI/IKlxSvEIQliKU9dYX3bX8eO0GTiQ1tWrM7drVzRKCS+1x1KiSeVVKvf6emIo00NDdUqxUvxSue/cmcq3bjF7506etWqFp95uyQ9O1arK4ZKCn5LDfsltipHq3GL5kMZQ0de9PyQ4T1EAwsLC6NWrC7uuXGHN2i2Ue3RbeTwpTYikNJDKgrQYqI/f0MKRvswolUGpfT18GFugtLk5l2/fhjfR7ZJ0M0YqT1L8ghqxlIf5I44ohzspP1+tuVBGzivXcW9pfB+dJ9fv3aPG4MHkypyZrbNnYxMSothwpkv38aZ7zZrKURtbjPVJFuf9H6mtENoi7aPH3Lqbj6ylYcdfh6murwdSe2mmbMj06cqPt2wp2CmVe6n+KyWQlJiS+qXUzkV/V61Wy6TZs5myZAkzRo+my7Bhys9LY0BjVbIFO0vm0801/P0FVXI9ERG6Hyl+qdCkTUvlwEDWhIS83wYrjfWkgmxMmw7yGFBqQySk9+rHux8i5VX0QMcvMJBa48fzVqPh4OjRpLt//127FxspjaXvJaTD3Ty1PgrzuRMt8GNoodDMTPcjDd6EtNE6OVP4q/I4Ojpy8fYdajvpxpUaaT1EqieSrLbUrkv1QfBzbi+NlwR7nG+cVn5eYXwfe1lp69Yt/PBDR9q378yYMdMVzZeKmWSi1Gy1bascPm6c7l9jhIETbam1kL1ucnrqS2WLkynh4eEsXbqIggVzsnTpQn79dS516tQztVkJSsE0aTj1/LmpzTAZfn73WLu2F5Mn58LMzJKuXbdhZ6c8WU0JeDk6ktbBgVPSYl8KR6vV8s/u3ZSsU4cBI0fSp3NnhqTI6zPvKAQ8AR6a2A5T8drfn9G//UbmGjW4eOMGm2fNImcW5UW5lEKhXLk4nYrV3k9duUK9QYOo3q8fXxUqxJLhw1OU/9kPKRQ98TidSvvy0NBQFiyYS/782Vmx4k/mzFlE1apGbkQlMwpZWHAq3MBiQQrm9sOHdBs7ljxNm+JoZ8c/v/6q27hOofhkyICzkxOnpMXsFI5Wq2XD9u0UrVWLoT/9xLc9e9K3SxfDH0zGFLKw4HZUFC+lxZYUzqvAQEasWkXmfv24+fQpW4cMwTcF3nbTo9FoKFiwIKdPnzK1KSbjxIljNGhQi6ZN61GlSnVmzZqXrE4cJtq5Ty9LS9wsLLgQFESTNGkS67VJghcvXlCtWnX+++8sDRs2YeXKDeTPX8DwB5M5+d3ceBESwpO3b/FKQQ5b48LGjWuZNKkNVlYO1KgxmjJlvsHGJmX7+dJoNOTz8uLC48emNiXRCQ8Pp0XPnqzfto1yJUqwa8UKqnyVMq/BxkZ/WeQCkLTdtcY/Zy5epFb79vgHBdGjWTOGdO6c4nzdKJE/e3bW7toV4/YgNTF87lzGL11KTh8flo8cSctq1bBIwddnADI7OmJvYcH5V6+o7ZOy/HAa4smLF1TtUIzLly/RtGkLvvtuOHny5DW1WQlOPktL7gcF4RcVhWsymtDEB3/t3EnHceNwdXJiYu/e9GrWDPtYiugpEXNzc/Jkz86FK1dMbUqiExoWRuMOHdi6dy8VS5dm36pVVCxTxtRmJTj5ovutixERVEhlfsaP375NnTlzCA4P5+uqVRlcty6ezsq3GVIS+fLlZ//+faY2I9HRarUM/WEwM2ZMJXfuPPz++980btws2W20JtpIU6PRUMnJiX/8/BglHbdMgYSEhNCoUUMeP37I4cOnKFKkqKlNSjQqpEuHBvjn7l265M5tanMSjWPHjtClS2vy5WtEs2YLsbZOuTuzH1IpWzYm79tHcHg4tinMGbeEVqvl66FD2bJ7N2sXLqRRrVqpZiEjG7qFun8A4eJEiuTew4fU6dSJTN7ebJw5M1Us1OmpVLIk037/ncs3bpA3e3ZTm5NozFq/nvFLlzLx66/5tk2bZDfY+1zMNBoqpkvHP3fv8n0KE9X4FG9DQqg/cCCv/F5z7Ni5VLHJqqdi9AR+a0gIbVLRZuu+06fpMHYsrWvVYs7Qodil8IW62FQqW5Z5y5cTFhaGVSpZwImKiqLr+PHsOXKEzUuXUle60p8CyWdujrtGwz9hYalqwe7WixfUmzOHnOnSsW7AgFSxUKenUqVKzJ07h1u3buErXeVNgUydMYMZM6YyadI0vvmmX7I6VRebRLW6lYcHp4KCuGTIp1IKwd/fn7p163D69GlWrtyQqhbrANLa2lIlfXp+l/zdpEAOHNhLkya1KFGiNC1b/p6qFusAWhYqREBoKOsvXDC1KYlCREQEvb7/noV//cX8yZNpXLt2qlmsA53T4lbA3+gc06cGrt++TYUWLbC2smLz7NmparEOoFqZMrg5O/P7xo2mNiVR0Gq1/LpuHX1mzmRAy5Z83759qlms09MqWzYOP3nCTSXfPikQP39/avTuzeXbt1mzZnOqWqwDyGRhQVkrK3435BsxBbHj2DHqfvstlYsWZeGIEalqsQ6gVcOGvPTz4589e0xtSqIQFh5O1/Hj+XP7dpZOm5aqFutAtxHTwsaGP0JCiIgWjEvpXHn8mArTpuFiZ8fGgQNT1WIdQO3atXF0dOT33383tSmJglarZcovv/DtDz8wePBQ+vQZkGwX6yCRF+zquer8dx0yIHSQ3NFqtWzcuJH8+fNx6tQpduzYScmSpU1tlkmo6+PDocePYxREUyp+fn4MGzaYBg2qUaxYSVat2oKFRerT1cvm7k6utGk5dPtjh/spjZPnzlGqbl0W/Pkni6ZOpWOLFqY2ySTUBV4CKf0yTWhoKDMWL6ZwnTpYWVlxcNUqvCQHyykYaysrqpcty6HTgsPfFMTtx49p9OOP9Js1i0HNmjG1Xz9Tm2QS6kV7bD4siQmkEKKioli7Zw/5WrTg0q1b7Jkzh8KFi5jaLJNQ19qaQ6GhKX7s9vLNG/r98gu1Bg2iUpEibJg0CctUcjsgNvly5cInQwYOHjtmalMSnH/Pn6dEx44s37qVP0aPpmWDBqY2ySTUtbLicVQUNyMjTW1KghISHs7Pu3ZR9KefcLa1ZX///rhLgjMpGHt7eypXrsyhQwdNbUqCc+PmTeo2bsyQYcP44dtvGT16vKlN+mKMuxL78qVOgUg6ISepvUSrdVkBvpaWXPTz06nXSKqE2bIph0uKQEqyHZItkuNYyVG+9Lyg0vLPtKn8OH8+Z69do2rx4iyYMYPM1lawfb1yPNKET/KLIylICmkTbqWsRLlzk+5fg4cdL10CW1tl9SBJladz55hf8xw/DkePcqliRfLplUo/pHdv5XBJpcpIRaSnZt6K4U5CEdl/RtnHopI5gYH+7NkzhpkzfyUsLIzx4ycwaNAgLCwsGNTwpvILBPW3CuUUOhBBkub5a+WdIQ9J9UefZoYUmd68gfBwWfVHUieKVWfzZMnCBT8/nSyPlOcNGyoGP7XKqBguCUpLQoBhYcq748+efRxe1NdPORLh6v7pixcZ8dNPbNu9m7y5cvHv9u2UKFJEzCvHB8pLWWaZlK+JR9ool1dzKe2lE17nzun+NXRKQt+uS/JHUiJHt1G5tFqIjOSCmRkFzczAy+vjZ6VrVZKCl1T+pPZPsrGAcDJGUrtSSOOIyEjm/fEHP82ezcMnT+jepg1Thg/H0cFBbHNCHZTbkBeCVsOGDcr1WRJZLl/+47BPiUJ+GKeTk1yVxRtw596lWR4vL7YeOEDEo0c46lXAPyBH126K4Zoo5clBJMp13/zWdWV7JAU8qd8wYrxx9+lTRv32G8vXr8fd1ZW1c+fSuGZNeZwgxS2VY2lcYexmZlyvKwYG6myRdpelyUv06XhHrZZ0VlZcuHFDp05665by81JDLdVbpf5IGudJthvbOQgS6+v372fUvHmcv36dWmXLMm/YMDJ6ecGmlcrxSGVBalsqVzbuecl+fZkytJAWFKR7VimNpTFUrAFh3qgoQoCbgYFk27JF+XmpfY0tyRcbScFZGpdIdkr1RBLDUZD8ex0YyKSlS5m1cSNRWi0/9+hBv0aNMI+MlMe2Aj4OH9tzJUrZXYAUdf48wqJJtJJopKGG/elTXT2X5hTSYH/u3Jhf89rYcGH3bvD2FusJxYopBm/dquywXzRbskdqG5XGzZKSsjCHPLZoESMWL2b36dMUzJqV43PmUCRHDjglOOKX2kWpPZP6AaEcP0yr7GLgwRndv0FBcVw4lvpCKS2jVTTzhoTAsWNc9PYmp4cHLF368bOSzK+CEicgy2sKStP3HyjfSMlorJK6wjg4PDKS2cePM3nTJp6+fs03NWowsXVr7G1s5PbVgHL0R0htnTAu94lSOMygv54aEKAcl57AQF3/K9Txl2HKftL977z7PV26PBw+vJBbt6LIWreu8nsklWVj+1qpPkhpLM1fpTxXiOfmvXuM6tqVv1aswMvLi03r1lGvbl2ev1YuZ5s2KUe9c6dyuDQml5pLaYqjnwIbsx+W6N6Sqzs4sCsFKsWGhoXRb8oU5q1dS8UiRdg7ezYVixRJVdfjlChXsCA21tbsOn6cfCnMT8KNGxf47rsmvHz5kJ49ezF48GC8lBYrUhnVCxbkm4ULCQgOJiXJbGi1WqbNnct348aRM1s2/po3j+YNG6a663Ef4qnRUAjYpdUiKJgnW574+dFyyhQOXb5M64YN+aFPH3KnIr9tEtWLFePHxYs5+b//UTqFnUbZ+O+/dPj5Z+zs7fn5hx/o3rp1qrse9yEajYbqbm7s9hM2N5IxwWFhfL1oEUsPHKBaqVIcGDKE8kVTl/sSJSpaWGAB7I6IQNhCT7acuXmTpj/9xHN/f3o3aMDApk3xkBb6UxHVfH35fs8eQiIiEJaAkiVarZaJkyczYvRo8mXJwqpRo2hSvnyyvh4XH2S0sSGnrS27Xr2iiYeHqc2JVx6+fk2LRYs4dvs27cqX54dGjcjurbwZnpr46qvqzJkzkatXz5M1XU5TmxOvrN6+nc4//ICLmxszpk2jS6dO2KagsVuiL9gVtbFhvp8fYVotKWn55sc5c1iyaRMLhg6lS/36qX6hTo+tjQ15s2Th8u3bkDPlNA5v3wbSt28NXFw8OHfuP7JJp0JTIUV9fYmMiuLao0cUTUGN5YoNGxg8ejRD+vRh/LBhKV4d0hiKajScT2FXp7RaLS0mT+Z/Dx+yb9UqypcqZWqTkgyFsmVDo9Fw5e5dSqegtu/8rVs0GTuW+qVKsWTuXJxT4bUZiaJOTvz97BlRWm3i+lJJYL7/6y9WHD3K72PG0F46cZAKcdRoyGFmxuUUdl3udWAgNUeNIpOHB3unTiWzuskaQ1Fvb0IjI7nl54dwfipZsuT33xk2ciQj2rdnZIcOqX6TNTZFHR25nML8ymu1WhrNm8ejN284NGYMpaWTYamQvHl1Lh6uX78MlVPOnPzkhQu0GDCA5rVqsfCPP3CQTpcmYxJ93OVrZUUUcFc6NptMOfrff+TLmpWuDRqoi3Uf4Js+PbcePjS1GfHK48d3efHiMc2b91EX6z7A11N3NeLW06cmtiR+OXryJI4ODvw4eLC6WPcBvhoNwiW5ZEtkVBTHr12jaZky6mLdB1hbWZHBw4Nb0hW3ZMrJa9eIjIpifMeO6mLdB/ja2BAaFcWj0FBTmxKvHL12jaK+vupinQK+Zmbckq51J1NuPH7M8zdv6F+vnrpY9wG+0X7Gb6Wwk7RHjx3Dzc2NYW3bqot1H+Bra8utFCYuExIeztn792lZtKi6WPcBjo5OuLm5c/9+yhqxH//vP7RaLRMGDEiRi3VgigW76Oszt8LDE/vVCUqZggW5cudOinfQ+zmkxAW7zJlz4eTkyu3bgs+UVIyrgwPOdnYpbsGuTPHiBAQG8vDxY1ObkuTwRSc88SYFtX8W5uaUzJGDy/fvm9qUJImvtze3Ulhd+Craz84FI31YpQZ8o09Lp7TJXZkcObiSwsYn8UVKXLArmCUL9jY2XJF8EKZivB0dsTY3T3ELdmVKleLVq1c8k3xtpWJ8bWx4GBZGSAo6SWtrZUXhjBm5ksJFkj6XjBl9uXcvZS3YlS2iOzl46brg8zgFkOjHRDJYWmIB3EohJ+wePnvGvLVrmblyJa1r1lRP1yngmz49954+JTwyEstkvrul1Wo5dWofy5ZNIiDgNdWrCw5ZUzEajQZfT09uSc60kxlv/P1ZtmoV42fMoFjBgmTPmtXUJiU5fKPbvdtAIZNaEj+cv32bXzZt4uClSyyQRHFSOb7p0nE5hSxshYaFse7IEcb9/Tfuzs5UK6zsDDw1kznasfmtkBAUNE+SHfdevGDurl3M27OHbpIgRCrH19yc22FhumvQyXxsGxUVxe7//uOnNWsICQujeblypjYpyWGm0ZDF1ZVbKWRhy8/Pj6XLlzNh8mTKlSlDRkmgKxWj34i5ExKCIKWRrDhz7x6/7N3Lybt3+aNjR1ObkyTJmNE3xZywCwkNZfX27YybMwdvDw8qSuoPKQDjFuzevtVJWkj33SXlpliNpAWQ7/599kVG0qtvX+XnV60yGM97KIkZ6FVXPkQ6Ai8JInzglHTsvHn8tnIlNhYWuDo6cv7WLWysrOhVvz5ju3aNUVX7CEkqSUozqdBJaS+odUmP69dSDG6W+/npHlK6AihdE/vgOGrBAgWIiori0NKlVLa2/vj59u2V45FkDCWEY7CvhI1UScA0ttBYUNAzVq9uxosXl3F09CQ8/C2vXt0mbdrcdOiwiefPS6DByFNF0nVKpUGSsLvtwXPlOAQlphipGkMqRHplOQPqUh9x48Z7/y2YIQP7zp9He+KE8iK20JG6C0JMAwcqh0s38iSxIaXqf/KG63v/37VrJTNnDsHcPAp397Rcv36VsLAwGjZsxrhxU3kUqqzQZOekrAxqIQiZnRGEyaSNfzu7LIrhjYoJ5alrV92//v7Qr5/yM6ArE+HhclsklYVYbU6uyEiszp9nn5cXhbp3//hZSYpJatOl64jSRo/0vKTgFUvxKzw8nHbffceef//FzcUFS0tLLl27hnfatMwaNYou7drJ8QvqbNYRyg2rmZmyT8cyZQya+R6SqB0YVv52ddHi5KSVFUwlR9wfyF0VLFqUv/bswW/1alwVhCc0kpyWEL+54PQ9PLOyyIflo7vK8UvEiv/EhQt0HDGCV2/e4O3hwYOnT3nh50flEiVYMW0arjlyKPfl0kRWUmaUxhVSPNKJAKn86VUSDTlP13f0xp6WitWf2AA5z59nn1ZLR0lCrWlT4+JXynNjHcFL44QPxlDDZ89m4YYN2Flb4+LoyH/Xr2Nva0v/Vq0Y1a2b3LYYUl6Pa/iGDcrhktKqpICpb9MMVXT9eF0pfaSGpWrV9/5b8NkzQg4e5PjJk5SW3mFMuLEKwFJ5ldImFo+eP6fZkCFcu3sXrzRpCHj7lruPH5Mva1b++eUXCpYuLddDKQ+lcbxCOc7tLpxSk8rZRaHux9X9xosXuvGbZKNUTz5s1zNnZt/Dh2h79VIeuwnzM3t35ffaS2VNKCOhvrkVw61fKJyC/aD/XbZmDcMnT0ar1ZI2TRqu3LhBRGQkLevW5eehQ+W0lMrrxYvK4ZL6pTTeEAZ16V2U40lfqBAA/v4G3A+4uurGZ1K/IV0HjVXP8wYFYR49dst18uTHz0rlRqizdwOVx8E+Nspik3Z29srxpxNcDcXKw9DQUFoPHMiBEydwt7fHzMyMK/fukcHdnXl9+9K6Vi24K4wTXrxQDpeQ1g6kMawUrrTJqW8XDU3Iw8N17YfQLqZB+btaufu89/9ixQoyefImHryMwNHxY2lAZ6k8SesqUjstzR2k5+Mg/HPk3Dm6jB3Lm8BAvD09ufvoEa9ev6Z6uXJMHz4cRxcXxfrgIeRft7bKCrTdmgvttJHq1kWt7iiGv3mmq5v+/qE4x3EfwSSOmNp6evLDrVu8Agx3u0mHu48e8ePs2bSsWZPMadLw5NUrutatS9vq1XGyFxodFUoUKEB2Hx+WPnumvGCXhDl+fAaPH5+iTJnviIh4QUREKIUKtcbXt7x6mvITtC1ThqWHDvGvgwNlkpG/t4iICKZO7UvmzLmpUqU8T548ok6dhrRr1wVvb12nKo2HUzNO5ubUd3ZmycuXDDC1MUayYc8eVm7dyrdduhAJ+L15w+h+/ahftSqWKUwBNT5pUacOgyZO5O9Hj/jax8fwB5IQQ2fMICIykq9btODR8+dUKVGCzo0akUc9PftJ2ubMycRTp5gNJCcvMdfu3mX8okW0rV2b9O7uPH31ih6NGtGmZk0c9AsKKezqZ3zwlYcHGW1tWRocrLxgl4T5edkyLty4weB27Xj+8iURkZG0qVmTsgULqmO3T9C2VCnqzZrFOS8vCksLl0mQ0NBQ+o0cSdH8+SldqBCPnj6lac2adG7WDE+9AmoKOTkYn7jb21Mze3aWnj1LL1MbYyQrt25l3Y4dfN+jB6HPnvEmKIiJnTpRp0QJLJL5ba6EpFmz1owe/QMbN66hbdtOpjbHKL799VfMzMzo2aQJj/z9qVauHF2aNSNHFuUDDSkJk8ykm3t4MPjmTZYB/U1hgBGEhoXx/NUr0nt6smTDBmxtbJg/ciSOKcwHX0Ki0WhoXrMmM+fP50lkJF5JvCENCnqOhYUNZmbmXLjwJ/nzt6FChR/FzQKVj6mUOzcejo7MDwlJ8gt2UVFRPH16H0/PjBw6tJlXr54xffo26tcvYmrTkhUtXF1pdvs2/0KSn9y9CQggPCICN2dnFq1ZQ4kCBZj87bfyyQqVj/Dy8KBiyZIsvniR7hkzYmHsyahE5sGTJ3i4uXH/yRP2nTzJotGj6dSwoanNSla0yJGDEceO8SfQw9TGGCAkNJSXb96QzsODRRs24OTgwPzhw7FN4v1RUsJco6F5hgwsvX6d8YBwjjTJ8PTlS+yjr/it2LGDTvXr82P37hChfIpC5WNq5s2Lk40N8wMDmROHk4ymJDIykgePH5MxXTrWbdvG6zdvmDl2LLmT2QaSqWmRLx/t167lLJDUnUG89vcnMjISFycnlqxZQ/nixZn47bcf3fJRkcmYMRMlSpRm+fKFtGrVPkkLsWi1Wh48fYpnmjRcv3ePf8+f569x42hVs2acTuSlJEwycsloY8PX6dIx9NEjmgHpTWGEAYJDQvjxt99YvHEjr968iQnv16YNjvb26k6NkfRt25aFCxbQ980bViXRQcDt22dYseIH/vtvJ0Rfc7WwsKVo0Z6mNSwZYmZmxrimTemxZAntw8OpnARPKmm1WpYuncHixTN4/PhOTHjRohXJmTOpD1uSHg1cXChhZ0ent2+5BCTFIcDDR48YMmoUazdtIjTW1aS/fv7ZhFYlX8b070/5Fi349c4dBkrXJUzMul27GDd/PmevXIkJy+TtTeMqVUxoVfIku4sLnfLkYdDlyzQCkqJHqKC3bxk+axZLN27kdSwXEEM7dcLWxkZdvDGSgTlysPT6dQYBv5vaGIETFy8ybPZsdh8/HhPmYGdHt0aNTGhV8sTC3JyxDRrQb+VK2tnbUyYJ3oqJiopi6rx5zFyyhPux/KLUrFiR3Nmzy9eOVRRpnj8/U48codOTJ5wFkuL507t37zLk++/ZsGEDYdEHZjQaDWtnzzaxZcmTESPGUa9eFZYunU+XLknzbOXKnTuZsGQJ52MJSWTNkIH6FSqY0CrTYbIt8Z98fTEDMgOClwCT0nPcOGavWkXnhg0ZGO1jrVSBAvwyZIiJLUuepE2ThjGOjqwOCaFzElSgev36KWPGVOTVq4fUqTOHtGnzA1C79my8vdWTVp9Dt4oVKWxuTpWgILYkwROpS5ZMZ/z4ARQpUoE+fSYD4OrqwZQpG9UrM5+BpUbDrxkz8j+gJCB4xDMZERERVGvcmP1HjjCmb1/qRzua79e+Pa3q1jWxdcmTMkWK0C5dOgZdvcr027dNbc5H7D1+nCYDBpDWzY05w4fjaG+PhYUFm2fOxFnBd4uKYX4uV44QIAvwP1Mbo0DnkSNZsHYtPZs2pXeLFgBULFaM8ap4zGeRztaWEcAySJJX5u4/eUKl7t158fo184YNI2e0H7H5w4eTL5vgB0vlk/SuVIncFhaUffqUnUlQFXrSb7/x3YQJVC9fngnffw9AOk9P1i5YYGLLkifWFhbMqFOH/4DygAHvmIlOWFgYVapX599jx5g4eDA1y+tkj77r3p1Gkq9clU9SvnwlGjduwaBBX7No0RxTm/MRWw8fpuUPP5DR05PZ332HnY0NVpaW/DN9eswp6tSGye4GOFpY8D3wI/ALsMhUhijwvzt3+GPrVmZ+9x1ft2oFwKT+/dFoNOpE/gvoZGdHjzdvWBIczAQnpyR1NXbz5imAhpEjD3DvnhtFi/YgMjIMc3P1itznotFo+M3WltKBgbR/+5aXTk5Jpv68fRvE3LkTadGiG4MGzQegTZtBREVFYaFemfpsStrbkx04DZwBKprWnPdYsW4dV65d49TevRSNdvIbFham+qn7QiblysXShw8ZcOUK3/j4YJlErsZqtVp+nDWL4vnysW3uXDRaLT2aNSM8IgIrNc8/GzcbGwYAPwPzgakmtic2569dY9WOHSwaPZrO9eoB8MugQZiZmSWZvic50hOd+5q5wFiS1tXYn5YswcbamgMLFuDk4ED3Jk0ICw9X6/gXYGZmxiw3N6o8e0aXV6+4nz7p3IN64+/P5Dlz6NOpEzPGjAHgu6+/VsduX0j5zJnxBA4Dl4DiJrYnNr8vW8atW7e4cO4cee3tGdilC2FhYVipLky+iPHjp7F27QoGDfqaDh26JZn6o9VqGTF3LuWLFGHzL7+g0Wjo1bQpEZGRWCYRG03B531z6UqBVHmEe8b90C3YLQYWEusY7vnzyvE0b64crnTF0lh1qVi2/zR5Mt5eXnTp3z9GteWjhJKuxErxS0pJ0vPCzmBolPIg5OBB5WgOH1YO1wvVGDw5rlcIUlKpkyZmS5cqBls+fkw/YAYw6OlT/tT/YcUK5XgaN1YO/0DVSk+olfKJCSmr9EUkMPAVu3fPoVatgdjZuVG7tv6J98uzJCoUGqY8EbAWFCRjJHo/RKmeSMZLjZak6KTPv7g2dsaq+0SrWn1IqXLlYPt2/LRaHhYuTAZ9mgh2hpgp56G9hbJaVoYMytc1JNFGfdKvWLEQf38/unX7IVaymxH70LEkBCYlsdQsStktPS+JL0siVdgIynu3omXbDSkD67+Q1BhIZUG4Ajn1zBnqA7WJtVMrSTIXK6YYHBChvIMmFl8hLc3sdArAWq2WsdN+oXbtuuQrU4nYpSn2t5byxB5lhTNRMUqQLy5QQFkBTxOifIrhyh3ldFCqhnphLIMHIp4/1+W5ZLuUCJkyKQan7dMHtxMneBUQwJZChWikL8DG9pFC5orrf1K5jLb/wLFjHDl7li0LFqCxtQULCzR82Kojq8go9XmSzxQpLY1VlZXSXnqvPnHieoJZUpuVGjWhfg5Bt2A3jQ8W7E6cUI5HarwUVM2DvZSdR9uaCYqJsdJ+wsiRZPHxoV3PnhAZCSiM3SQ1bEmeW+rHpQ5CaqSktDd2AqKvh3FVP1KyX1JrFcbw1jY2dAoPZ0lkJCPMzZmjXwy7elU5HqmOG+sIWBo3R9v55NkzFm7cyMj+/XGKpdD50bcQ3hts46oYbmsVqfxeY9Sdz5xRflYqT1Id0ZezIKEP0hMYqCvzxir3CnW/ctq08OwZDyIjeWFnh7u+nOrHFR8ilWMpD4XvK67BRLeBcxYtIjgkhO+GDo35k5mZGWaxOwqpLgv9sji4l76T1IZIEy6p7kvlST+2MjR2i4rS/UiJJtmvoGCqAaYDrYD6wGP9H44dU45DUMSNiFAWYHz+VjlcSprwKN2BjqioKCb89BONGzclR+4CEKEb4Hz0jaXxq7Huq6SyICmnSuXbGEVVfdxxqeMg56swP3sgVP3cmV0wNzcnMjKSU0e2UqNaNd0fpPGJ9F5jfclJ88jowrBj3z7OXL3KnpUr0Xh7Q0gIGuCj1Q8pb5UGjcb2s9euKYdL5UxYlxDfq2+jDNXxWJh0K9wJaGpKAwR27d9P2+bNsU6CvhuSO6Oi/81sQhs+5Nq1o4SGvqVSpS6mNiVF8nPOnIDuymRS4ciRXZQqVYUMGTKb2pQUR210JzCSkvDEw4cPuXbtf3TsqNbxhGDzsGEA2CehPnP30aN4urtTu2JFU5uS4vAAagFJ6WKKVqtl1/79tG/RQj01mwBMjp54ZEhC/fihEycICwujS/TVZ5X4ZUz0wo55EsrzXXv3UqtaNdJ5e5valBRHE8AeUN6mMQ03b97kzp07dOqkjt0Sgu0bNwJgm4Sume46dIjMGTNSqUwZU5uSpDD53RW9V5GlpjQiFuHh4Tx89AhfYfdA5ctwAVqi84ciHDxKdF68uIuZmTlp0iifIFH5MtqlS4elRsNEaWfWBDx6dJeMGZOmk/zkjjkwGDgCnDWxLXru3bsLQJYsap4nBKVz5iSLpyeT168nPIk49b/z4AG+GTOqVyETiH5AMCCcj090goKCeOXnp47dEgh3jYYGZmYsiozklVZranMAuPvwIXa2tqSVToSofBGdXF0xByY9f25qU2K4e/8+vlmUT+GqfBmW6MZue9Fdi00KqGO3hKVyxYp4e3kxaepUIiOFk8WJzN0HD/DNlEkdu32AyRfsKgCdgR7Afya2BcDS0pJMGTJwS39nVCXemQyEo1u4Ew7GJipp0/oSFRXJy5f3TG1KiiSttTVTc+Vixt27rHj82PAHEoGMGX25fz/pLCCmNPoCeYGGwJtPP5oo6Ad7t2+reZ4QaDQaFnz9NQcuXWLEX3+Z2hwAfDNl4tb9+6Y2I8VSHWgNdAKuGHg2MXBwcMDD3V0duyUg0yws8NdqaRMejjYJLNr5ZsrE2+BgnknX2FS+iAyWlkz09GTSixdslK6BJjK+mTNzKwkKHKUUvgV8gQZAHC/dJyjq2C1hMTMzY+Fvv7F91y7G/fSTqc0Bosdu99T5+IeYfMEO4DcgF7rrsUlBP7R4kSIcOHLE1GakWDICfwH70PkwNDVZshRFo9Fw5coBU5uSYumdKRMtvLzocekSl4y4s59Q5M9fnLNnjxJm0ImjyudgC6xF1563A6JMPLnz8vIiffr0HDqk1vGEokrBgoxp1YrJ69ezSfJlloiUKFCApy9e8L8kdLI3JaEBFgA+6K5SJYXpfIkiRTj477+mNiPF4mtmxjJLS7ZHRTEhCZzGKFagAKDzV6mSMAx2d6e+oyOdHj7kWqjgRzIRKV6kCIeOHk0yp4FSGvbAOnQ+7DqDyRfmM2fOjLu7OwcPqmO3hKJ2zZoMGzKEsT/9xI5du0xtDsULFeLO/fvclXxRplKSxIKdNbABeME7H2empEaVKhw/dYrgJChnnlKoDEyI/rlk4uP2zs5p8fEpzOXL+01qR0pGo9GwIF8+MtjY8PXly6Y2h3LlahAUFMCVK0nl0mbKIzPwN7AZWPm//5nUFo1GQ9WqNTh4cL9J7UjpDGnUiPrFi9N19mxCTbwYXrl0aczNzdl//LhJ7UjJ2AEbgfvAeBPbAlCjcmUO/fsvEUnkWnZKpLa5OSPMzfkxIoLrL1+a1JZM6dOTJ3t29qsLdgmGRqPh9wwZcDc3p08SuCFRs1o1Xr56xaUrSeFcb8okOzq3RauBDZdMeznWzMyMKlWqqWO3BObHH36gWuXKdO7Z0+T9Z/Xy5QF1I+ZDjJPNCAjQqZFJA3FJzk1BkQaA7t1jfvUF2hw+zIZ79/hl5kzMlO4uR++mfUSJEh+HScotkmRjLNujQkPRarVEvX0LHh7Kz0tKT0Yq4wXZKcdvb6G8q3HtonL0kuiXUtKALJb0EWZmuh+l7yW9VJK5jJZg1zMwIoKxEyeyccUK8jo7f/z8O7nWj22Ke7CSEB3wvrCSlVUU9vYR5Mghi7pIwmfSDZycXoIimlR2lK4cSA2npLIjqUXp32lITdDSUheHFI9UrwQFydh57gj037CBXpMm8ezXX0mroNxmM/g75XjeKrc5thbK6RBl9Wl1zYgI3S/h4RGiuI+xSS+JBkoCSlIxkJ4XlUqjlPMqOF1W3b+GrrKEh+sqj9SuS5+XvsDw4TG/1gGKLFzI+q1babV168fP1q2rGIVjCWXpsKf+ximNWVu824XXEElkZATWFpEcP2Wu+LxUvHPlUn6vpaBerM0lqMG+UN6c0Lor9wO5vZTPnIeFfaxuqC/HhoTGCAvT/UiqgVLdFxq6gMoN3vt/f7eMbKxUgiN791JZST1aUGwMilKus8+EmxHu7mkUwx3T6uyPjD7JG2FrK49BQO44lOyUGgWpAEqNhVTQJP9r0vUQfR00dPJF349L4x9JcVRKt4ULY37NCTRfupT116/z0++/K/udqV5dOR5jJgZxUHmLjIwkMjJSdypEap+k/JbyypjyAbLKoBSPFC6VKX0eGqzo0Sh9Lym/JV9wPXu+998hYWFMmjePLXPmMEDJ/jVrlOOR2hwpLaW0iW6jtFotkVot4XqlTKmMCPHbXhYc8Uh5aIzSqgHbP0IaQOjrSFxPtxmp8i0+P2RIzK8uQJ+dOxm8YgWv//gDF6Xv8MMPyvFIaSa0gdIUysVF1wdHWOreHW5habw6qhSeLZtyuDT2kcZKn+pnlJDSXt/eG1KC1rcBorSuQLlyyuG//RbzaxMgz9ixbPjjDxopPdu8uWIUUrMrfRWp6sdutiIjowgPjyAiAiylNJPaLilcUkaX2l1j5m0AW7Yoh0t9P4ChQ0L6uZk0SRAmM0/2Kz++dev7Yy7f7CPYvqs8J+/epXThwh9/wNhJjlTfpLYx+vmo6L9HREXpwqTJt5S3Soq+UjskfScpv40NFxq0gAy6OUKATdzvJiSJE3Z6GmbOzL3AQC5IA6dEYv/RoxTOnx97e+VJmkr8YG1hQe3s2dls4pOMgYFvuHbtHIULf2VSO1IDjSpWJDIyku0mPnF18uR+rKysyZevuEntSA00ypmTfzC9v8r9Bw7wlTRQVYk3ihQpRvr0Gdhi4pNtR48fJzIykq9UpbEEp1Hhwlx/+pTrJrbjwNGjlCpWTFWJTWAcrKyolikTm018Xe7p8+f878YNvipZ0qR2pAYaFStGWEQEO018I2b//v04OjpSQDrAoRJvNCpYkM2Aqb1VHjy4n7Jl1flZQpM5cxns7T3YvG+fSe04EO3W4ivp8E8qJUkt2JVMmxYrMzM2GjoFlMDkzJqV2/fuESKtwKvEG+UzZ+ZMWBj3TXgE197eiTRpPLlz56rJbEgtuLu4kDtLFjaY+Fps5sw5CAsL5eFD1XlxQlM+UybeArtNbEeO7Nm5elWt4wmNRqOhdOmv+OfECZMqxmbPqjthevXaNZPZkFoonTUr5mZmbDTxZmuOrFm5eecO4SYeQ6YGyqdPzzGtlicmXLTzSJMGF2dnrt64YTIbUgvpXV3J4uHBRhNfi82ZMycBAQE8fPjQpHakBspny4YfcNjEduTIkZOrV9Ur0AmNmZk5WbKUZfO+fSb1EZlTP3ZT2/X3SFILdo5WVvTOm5cpISH4m3AQ0LJhQ16/ecPmnTtNZkNqoVPhwriYmTHOhApUuglmTTZuXESUiSccqYHv27dn/aVLnDXhgOurr2oBsHHjMpPZkFr4KlMmymB6gZnGjRqxb/9+7qnqUwlO//5DuP7oEX/u3WsyG3yzZCFL5sz8nkRUa1MyaRwc6F6+PBMiIwk24ditVZMmPHv+nO179pjMhtRCt3z5sAV+MuGYydzcnGrly7Por79M7hw/paPRaPi+bl3+evCAKyYUDqtXrx4Ay5cvN5kNqYWquXJRFBhhYjvq1m3Azp3bePr0qYktSflUqvQ9F69fZ/X27SazIXeOHHh7evL7ypUmsyEpkqQW7AD65c9PILDVhDuk340bB8CqTZtMZkNqwdHamq4ODqx++9ZkSpIPHtxky5bfCQry58UL0zvVTem0rlEDD3t7Vp4/bzIbliyZCsD8+RNMZkNqQaPR0B84DtwxkQ1BQUH0/PprAI4nAQXTlE6BAoWoVLAgKw8eNJkNW7Zt4/adO2xVN94ShQHVqvEa2GnChZPvRo0CYMM//5jMhtSCq40NHTUaVpowv69ev87qzZt59uIFfpLzM5V4o0O5crhYWrLKhJutEydOBGDq1J9NZkNqwczMjL7AAXSqsabA39+f778fBMC5c2dMZEXqwcenJKULFWLltm0ms2HN5s08fvqUtWo//h5JbsEuk4MD7hoNN0y4a3chWn1ojeQ0UiVeKWJlhV9UFK9MlOfPn79T4Ni0abFJbEhNWFhYUNDbmxsmVJi7edP0SrWpiSLR/5rqgHtgLI/H3w0daiIrUhdFsmblugkndldiXYW9rl6tSHCye3piD1w30QKOVqvlv2hFw8V//mkSG1IbhTUangCBJsrz+7HU0/5cu9YkNqQmrC0tyevoyHVDYggJiP5q5Js3b0xmQ2pCP3a7ZaL3+/u/y+exY019TyN1UCRPHm7cvWuy91+5/s4b7iMlAYlUinEqsYaQ1FV8fZXDhRM2ObVaLoWEfKziIinhKF2nNFbJNtZi0aE//iBf3bq89vcnMjISc3MFRUFjFaAEf3j2ZtKihbLiiK+vshCGNB+RFHiiVZMJDoZln7oVGBGh+1FSgZEUWiQVHMGfUY5oRa5LDx9SIfYfLgqSuIISk+Rm+s4rZTVB/Zgje/avmDBhMz/8UI9Ll86Kgny5cimHSwI5j98qKN8C3mkF3wBKZVbaNTZWfUef9oZ8StnY6H4kVR5poCbUt9ACyqIOOTJmZO+VKx+VIfPXQn0wUmIqwkJZcVJv5g8/zOXly+ccO7aLixcvkSdP3o+elUSFJDEgqfmTbntL5cnS37g2QSqwttHqR+GGBtcvX+raLamsSV9MqucK6tEZAWvgElA19h8k2XahfHtKytRRgi1eXrrPeXtz6uRJihUvzrNnz0TBcVsb5YlnZJSC8iUQaWatGG4eaNyVIc095cFRgJuPYrhSGVy1SvevQTFBDw9dnkoFOZ42TrxK1+D2+vXczvEVdrHKiqeTssiQvZmy4RYWymksEt3GDezZk7CQEIaPH8/hI0fILiiwhntlVAy3fK3gXF2qI1K7KqkGSuMTqcOWGhF9PVFSZo2Nvh+X3ivVZSP7mZzm5lw2N//4e9wSpnsKbYut8M6gtFkUw99GvFNM3rrtBGXK5CQ0NBSts7OyYq2xarBSGkhpKdUrqUOR2ldpLKnvmw0pQwYE6BTAld4rfVdpMCPUnZzTpwNwOTKSErH/IJ1qbdpUOVxKY7G91+VhtSpVWLt0KU06duTk+fNiWr55qzw6dJbGsFIeSvVcaVIpxSEh1X193YzrIpmUt1J5lcKLFFEMzmluztlXrz7+zlLbKJXT6L75Q1zNlPuHp890Y7pJk5bw8OEzTpw4wq179/BVKpvSO6XyLaWB1O5KeSGlgaT+LfUP+vliXNW/pfZbqA/hmbMrhlsqxOMLmKMbu5WN/Qdh7ObWULmdltZdpHMxOXLof8vI8uXHaNeuFHfv3scvwlHxeVcHoQ0RlFPFNsdYJXUJKX6lNkTfRhvymx8VpfsRys31G8rjAKlpEao45ualWLBmDUEZsmAVqy5ZnvpX+QNSu2ikQrQ+nqGdOxPs78/EuXM5dOAALXr0UH5eQukLS3VcaiuMVXUX4n+eQUFtF7gVfWYkrmLvkARP2AEUA06Z8P3pvbzo264dadOkUV6sU4lXcgO2mDbPy5Spi6trWnx985vQitRDMR8f/vf0Kf4mUgi2t3ekefNeALhJi5Mq8YYVUBDT1vGiRYtSvXp1qlatavhhlS+mYMFiREVFcenSOZO839zcnNbRCwTenp4msSG1UczCglMmdFadMaMP3br1I2NGH+XFOpV4pQC6jVJTtuuN6tTBydGRPDlzmtCK1EMxe3suBAcTYqIbMU5OznTsqHNv4ebqauBplS/FDsiLaet4/vwlKVLkK4oVq2hCK1IPRYsWIywsjEuXhEMzCYyFhQVtGzQAwDON8oGb1EiSXLArg+7qlKmO4AJcunGDvNmVdyFU4hcLoCRgSk9Dr1+/wM/vGZkzf3zSSiX+KZMtG1qtlj1XTKf8dPPmJZycXPH0VN7pVYlfygB7AdPphsKlS5fImyePCS1IPeTKlQ97ewf27zddy34xun3JKx1nVYlXylhYcDEykocmdGly9epFcuZU+/HEwBooimnHbg8ePcI/IIC86oJdolDG0ZEIrZb9JhSK+9//LuHllQ4XZ+VbLCrxSxlgN2CqrRitVsvNm5fImlVt1xODggULYWNjw65dpmvZL0Vfi1XXYd6RJBfs6gDuwGwT2nDp+nXyqQUl0eiEbtB3zdCDCcSdOzrfN1my5DORBamLnF5elM6aldn79pnMhps3L5EtWz71JEYi0RF4BGww0ftfv37Nw4cPyZdPreOJgaWlJU2btmPp0t+INNGpq0tXr+Lk6EiG9OlN8v7URkNLS5w0GuYYutqTgPzvf5fIlUut44lFJ2ATYCqPR5euXgUgX+7cJrIgdVHAzo7CdnbMMqFvKbWOJy4dgduAqWQIXr58yps3r8iWTc3zxMDW1pbmzVsyZ84sk6lvX7p+nbRp0uChnrCLIUku2NkDjYCtJnr/a39/rt+9qy7YJSJN0e3WmqpDuHr1JJaWVmTIoOZ5YtG2VCkOXLtGgAkmd1qtlkuXTpEtm3oFOrEoCOQHTKX7dOqU7lKHumCXeDRt2paXL5/z33+muVBz8swZ8uXOrS7KJxLOZmbUt7Tkn/Bwk7z/+fNn3L9/V53MJyIt0E0ktpvo/SfPnsXB3h6fjMq+KFXiF41GQxt3d/a8eUOwCU7SRkVFcf78aXLmVOt4YlESyIbp5uSXLp0EIGtWNc8Ti9at2/Lw4UMuXLhgkvefvHCBfO8cGaqQRBfsAOoBVwHBJXmC8tfmzWi1WupVrmyCt6dO7IAqwFIgsdfzo6Ki2LXrD0qVqoOFhSRdoRLf1M6fn8ioKP6UhAcSkP/++5f7929QqVLDRH93aqYusB54bYJ3L1u+HF9fX3XBLhEpXLgEadJ4sGLFkkR/94uXL9m6ezcNa9dO9HenZupaWnIuMpKzhgSOEoA1a/7A0tKSqlXVPE8snIHywBISf+wWGRnJn2vWUL9mTcwkZ+Aq8U5dV1dCtFpWRgvGJSZHjuzj0aMH1KrVMNHfnZqpB6wGTKEPvHnzMnx985ApUzYTvD11UrZsOZydnVm2LPHHbo+fPWPn4cM0rFYt0d+dlDFOJdbKSvcjSY5IahuSWopeqvRD8uShTlQUeWbNYoyLC1vbt9eFHzyo/HyhQh+HSTZGKyd+RLR60O27dxnx66+0bNgQ7xw5RPUTPwsPxfB7/srhgiASEdLhIiH8zh0hHmFs/OCBcrhe8Magz38HB53aldIpqMuXlT8jqfJI4T/qpLqH3LlDxWXL2NyiBfVz5oRrwgXZEiUUgyMzZ1UMtxPSMlMm3b/z5v3MzZv/MX78r2TKJKex5LJD2mSURMIeP1MWMomK8v4ozCnbx2EgVylJ5fLxE90Jk4AoZfXUGLy9wd5eViuSvqygAvgqk3J98G7YkMxA82PHmLh/P50nT9apEUkCEJI9QsH3F8SJrKwgKCiQCRN6kiNHfsqVqyxGLYlCGSugKwkiSTdKMmYQXiCoaotqzXplsgADiqUREbLyEch5LqkuKalsLV4MQJ/Xr/nlu+/4tU4dfqxfH/r3V45j927lcCPVDe8/0JX7/fu3s3z5csaMmcmDh2Zinj95onwSS2q/swnjR62DspIZQrjm2VPFcEcL5QY6bdqP63Hr1rp/AwNh6lTl1wOc+M8ae3tr3NyU66ZUnNK4KF9rdXzyUDG855D0gAUZMgzkjz9+5M2bYdjbZ2TZMuU2SOqaJeE9qV75mbmi1WrpNKArNja21G/ZEz9ccXVQPvVlGSLUD6XxjFT+pPGGpDgnSZFLKobS2CquJ1z06t+SIqmxisFCH0zTpjSOiiLrqlWMdXNjXfXquvBTwgnLcuVkmz9AWhvQJ/G9e9eZPHk0tWq1x98/DQ8fKT+fXnJZKhV8qZ2TFEylginFIyHleVwV3/WKgkplVirHUiWUyke0SuyQK1eoNW8eu3r2pHquXLL6t5Q2klqm9B2jB0Djf/6Z67du8ftvv4GZGeEIarBmynU8PK3yVXlLF0G6T+o4jFHilZDKh37AYejUqj6/pcGhVPel9964oRy+ahU5gQZduzL+2jXa/vUXFhYWsjKwVK8E3oQp9w+eabW8efOG4cO/oVixYtSrW0ZWoTRW+VFCKpdSPFIaG6s4qR9MGpKQ1M/JpbwSfLdKWW6pnxTFZs0aAPo/f86sPn2Y06oV3zZoAOPGKcZhK4h6ubgojzcqVlS2Rd9F7t+/kd271zB8+AIiIzVilxripFxurNyVfVum8fVVjsjYPluaZEuJLJURMFw+9fn9SLlzc3FRVug9c0Y5OqlqWliAhYU1/fr1Z8qUyQwd+j2enp5yvy+lmZQG0rjCzo6oqCi6jhiBq7MzbVq10o2tpHZXGhwqvTe+1OGlcAGPR/8phgemLQgYnp7FJsluSZmZmTGiYkW2XbvG8fv3E+29g0aOxMHenl8nTEi0d6roqJA5MxV8fBh98CBRiXRv/uHDe0ybNpyuXQdRooSwgKySYIwYPJj7Dx+y9O+/E+2dS5dO5e7d60ye/KeqAp3IeLu40L1CBX7ZuZPX0mA7ngkLC+P777tTvnx12rf/OlHeqfKOHDm+wcLCkcuXJybaO7dt28SWLeuYPn0BadOqCrGJiYWZGcMKF2b9nTucS8QTOFOn9sXV1YP+/T+xWq2SINTIlYsSmTIxavv2RPN5dOPWLcZMmcIPAwZQslixRHmnyjt+7NePG3fu8NeGDYn2zp9++okHDx7wx/Ll6onKRCaThwedKlViysaNBBo86RE/hIQEM3FiT776qh4NGnRJlHeqvKNfv35YWloyefLkRHvn6k2b2LpnD0umT1dVoD8gSbd4zfLlo4CXF/X/+IP/PX+e4O+7ev0667duZfSQIaSRjtGoJChjKlbk7OPHtF2/PlEGfosX/4KDgxP9+o1K8HepfEzeXLlo3aQJ/YYNY/uePQn+vtDQEJYt+4XmzXuQI4fqv84UfFerFhGRkVSdMoXARKjjGzf+zePHDxg5cro6yDcBlpaO5M07lOvX53D16vREeef06T9RrlxF6tdvkijvU3mfttmzk9PZmTrbt3MrEdQkr107x7//bqdXr/E4OKjKkYmNRqNhbO3a/HvnDl3+/jtRxm5TZ8/Gw92dHwYOTPB3qXxMkfz5aVyrFr2GDWPvkSMJ/r7AwEBmzppFn969yakqApuEHxo3JjAkhOpjxyaK/8J//lnG69fPGTToF9UPrQlwdXVl0KDBTJ/+C3Pnzk2Ud/40axY1K1Wijnod9iOS9OzF3MyMXR074mprS5O//8YvgZ3Tb9y2DTs7O1o2bJig71GRKe/jw99NmvD3xYuMT2DfZlqtll27NlC3bkvs7YUrTSoJzsLp06lUrhxtevbkarTiW0Jx4sR+AgLe0LRp1wR9j4pMOldXDnz/PVefPKFzcDCRCTy527FjPcWKlSV7dlVF0FTkyjWIXLkGcvbsILZvT1j39E+ePObUqWO0a6fWcVNhaWbGvnr1sDE3p+muXfgnsAjF/v0bcHBwplIldYHWVFTPlYvfW7dmyYkTTPvf/xL0XVFRUWzYupW2zZpha2vAzYdKgrF8+nRKFS5Mqz59uCldi4sndu/eTVBQEF26qCetTIWPhwd7R43i7J079Lh/P8FvQu3fv56iRSuRIYOyuyOVhGfYsGH07NmLfv36sm/fvgR915179zh38SJd27RJ0PckV5L0gh1AWgcH1rVuzUN/f4ZIPuziiT2HDlGpbFlsJH8dKolCi7x5GVm+PCOOHOHk48cJ9p7792/z4MEdypevmWDvUDGMjY0Nf8yZg6eHB+3at0/Q3fnjx/fi6ZmebNnyJtg7VAxTxMeHZV27sjoigqUJOJnXarUcPbqXChVqJNg7VAyj0WgoVGgS3t41ad++DW/evEmwdx0+rBtUVq6s5rkp8bazY3316tzw92fYxYsJ+q5Tp/ZSokRVnS8tFZPRvkQJvqtShW/PneOC5F8oHrh67RpPnj6lhioMZ1LsbG35e9YsHO3t6bRkSYKO3fbu3UvWrFnJJjmOVUkUSuXIweKvv2a5nx8rErCOR0REcObMAcqUUednpsTMzIxffvmF8uXL06ptW4IM+VX8AvYcPoyZmRnVKlRIsHckZ5L8gh1AnrRpGVGpEksuXeJCAl6NffHqFaGhoQkWv0rcGVG+PLnc3BiSgP7sQkN1JzbVa3Kmx83VlVk//cSpU6dYsWJFgr0nIOA1wcFB6vH6JEDjokVpZmHBqNBQ3iRQHY+KiiIwMCDR/CqpyJiZWVCixHyCgoKYODHhfMQGBPhHv09t101NgTRp+L5QIebdusXVBLwa6+f3jIiIhD3FpxI3xtauTRZ7e749dy7B2t2gaP+nqg9a05PW3Z0Zo0Zx6Pp1Np47l2DveeXnx9tE8nur8mlalStHXScnRjx+TFCkshjVlxIVFUloaIg6dksCWFlZMX/+Al69esWUn39OsPf4BwQQFRWljt0EjNuO1Gh0ihqScpMwIHvr7c2Pq1bxY5MmOMVWiZIUeHLk+Cjo62LFWHzqFAMPH2bXh8cljblLL8j9vQwI4OyFCwBE2tu/GwhI31UQP5GUIiUhGUmUS0ISXZEOBUqiXPrbxQbbWr3ylBKSQ2kzM47cuMH5hw/pFXulXHIMrKAWbA7M/OMPqt25w/pVq2jiHMsvTe/eitGYhyk7QnV3V74ycfToPwDs3buWBg1qx4QbK/gnieUqiRd/Kh6lwwGSOqUsvqO8EKXPb4ObI/r8lnYxP6HWOv6332hcvTq5Y31WGl/99yzNR2FpfBvRJHt2BnbvTtMTJ7CMPRgXRGDCzawVw92Fart69QIAQkMf4+mpU+CVxphSOZDqlNTHSNVEiidSyEPzPHkUw/0ClZXx9PGHopxGMdjbg7W13NYJjdRdd3fmX7jA+LJl3/+DUkII6peTIiLID/wcEMDY2H+QJHT1yrcfEGmlXMdPntSpzc6ePYFvvx0REy6IbIntqCQ6pwlT3uCRyqWlmXKD+9xMWRjBw0J5EUIpOfXNtCHVqbAwsLSUy6XUJ+XLZ86ff/6Ot3c6Kld+51/EUWikpk1TCk3P/HHdGDXtZ/rUqEYm73cq2G65lE+9Sn2qlCcb1v8JwI3/Hae6XqUUeCPUE39/5XClsuCWWdk/mjlCRyrJsBmrhi2dHNN3JoZOqVpb676Q1KgJiRmo0fDjkiWM69wZu9gJIlUUBdXnfm/fsrR0ab49coTN6T9Q5VQqyIKKno+Dcl2zjHrE3bv/4+7d/1Esf0jMZozWSrkOPn+hvMgjJnGgspKoby5BYfSZsmqy2OgYOZ6OaRsNLV54e4OtrXKFluI2M2P/jRvcfPmSLiVLvguXyqVCPJbA9KAg6gcFsXXlSurE/mPjxsrxZMigHC5kytb9+wHYsncvlWq8O0lrGSVsuAtjWFEhWkpbKa+U5jJSwyUN6oRyHxyha5+CrQwseGfMqOv0jVzU0mo0jF6xgrYVK5ItVnsstl0K6si127alzowZ9FuxgnolS2IeewwgKV8LeftKYXys1Wr5809du/7y8WPSpIkeP0ppLLVzUrjU6Unxi/NCYWAuhUvx69PG0AGSiAjdjzRHE8rC4zOH+GPdOkZ94P/xaWDGj571rF37ozCAqf7+FARmXLjAD7H/IIzdbLIpq8RK4sL+/rsAWLFiGkOHDo4Jv3VL+XlJCVVq6ipWVO73M2VSbtdtjVX5luqPkkH6cmBoQp4hAzg5EWljr/hnF6EYNG0KixYtJGvWbFSMJcsrFXulca1v+nR8W6sW4ydMoKenJ16x67Uk9SsN0gR+j1Yk/u/mTcqWKmXUZ99DqS01pML9IVLBkU6VSnVQaOeyuPjpXmMW943MRFnGvP7kCY/8/HglNU5xwMbKiu9Kl2b37dvcNHaVKw64ubnRoW1bAB5JAyuVOHP8zh0efeG1p6oODpS2tWW+n188WfU+DRo0w9ramqdPhcUBlTgTFhbGyfPnefqFqoAjSpXiSVAQW6Re+QuZOnURAP/9dypB4k9NHHv8mGfBwUR8gfPhLEB7YBEgDIG/iIIFi5EtW06cnVW1qfjg9OkTPH4sLEjEkQHt22NnY8OitWvjyar3mTplCgDHT5xIkPhTE5fu3OHZ69f4GVoF/gT2dnYMdnVla1AQ9xPg+runpydNoxeCXiSiKm1K5di9ezz8wrFbXaAwMD9eLPqYdq1bo9FouHP3bgK9IfXwNjSUs7dv8+wL8lyj0fBjo0bce/mSndEHH+ITjUbDr9E7QGfOno33+FMbx86c4cnz5190ei0H0ApYACSE/ETx4mXIlCkLNjaqj8r44OTJEzx69GVjt2/r1MHCzIylCeSebE50Hf9XHbspkigLdgV9fFjcsyeZpRN1caRp7tw4WFmx6sqVeLLsHRqNhnatWwO6u/MqX0a/ypX5sU4dww8aoJOrK7sCA3mRAHmSKVNmatSoR2Skmt9fipWVFStmzKDil+yKAAU9PCiSNi0rEshpdY0aDQDUPI8HmufIwcyKFbH4wuPrnYDHwKF4sep9nJ1daNq0HZEJdG0jtTFhwlRat+7wRXE42NnRvEYNViSQ+ETx4sVJnz692o/HAyVz52bh4MGk91A+HRFXWjk5YanRsOYLNm0lzM3NYzZb1Tz/cgZXqMAPVap8URwadO36ViAhLkL7+vpSu2ZNNb/jAXsbG1YOHkyZXLm+KJ7ivr7kSZ+elQkkFteofn0AItS+/Itp06gR00eO/GLXMJ2AO0BCLK+4urrRuHFrdewWT0yf/iutWrX+ojhc7O1pXLw4KxKojpcuWZI0bm5quy6QaBeFbYw8GqmEraUlVTJnZvP16/Fg0cfoG6+oRJCrTumYm5m9f6XxM6nj6IgW2PoFO/yfQqPRqPkdT9hYG7h6GUfq+vqy8+5dQhOg0VbrePyh0WiwiQcn70UBT2DLF8ekjEajUf2gxBM2Njbx4v+xboUKXLtzh+sJdELGzMxMzfN4Ij7Gbo5mZlSwtWVLAizYwTt/hWqefzkW5uZYxMPYrS66U9M7vjgmZdQ6Hn/ERx3XaDTULVyYbf/9lyCLajFX3dU8/2I0Gk28iCuWAVyBzV8ckzK6sZs6Vo8P4mvsVqdQIf67d497CXSaXZ2TyyQ7z36t8+Xj3wcPOJMA6qH6VV1VaSzpkM7Skkr29sx69SpBOuqIiAg1v5MYrXLl4nVoKH9dvRrvcetP1pmbq3meVDADWgNLgITQn1LreNKjRtmyuDk7M/vvvxMkfjXPkx5tnJzYGxzM5QQQ9lLHbkmPLEBpYHYCxa/W8aRH69Kleebvz5oEuNIWU8dVoZEkgznQAlgICF4uv4iIiAh1rJ7EqFuoEE62tvy2e3eCxB8RGam26wLJbsGuca5cZHZ25ud4PJIZGRnJ48ePCYkeSFrH00khlfhhsLs7J4ODORSPClGBgYG8efOa4OC3WAnOqVVMQy43N+r5+vLz6dPxtkir1Wp58uQJb9/qloTUOp606Ifu6tTieIwzNDSUFy+eq3U8CWJna8s3rVqxcO1a/L7QX1ZsXr58SXBwMG/fvlXreBKjpaMj6czNmRqPPmljxm7RoghqnictBgMHgJPxGGdAQABv3rzR1fF4OBmmEn8U9PGhar58TPnnn3gduz179pi3wTpRObWOJy0GAs+B5fEYZ1hYSMzYTc3vpIWTnR3dK1Vi7t69BAQrCz1+Di9eviQkJERt1z+BccuYLi461SnpuKKg4CcqikmKPUI82oqVMAf6pHHn+++/Y0yHjmTNmhXNvc+/VnP4339p0rYtz54/jwl77u9GcJSukQgLU24spK8qKYNKbp6MXYOSbpRIPvqlW4X6cIO3Dl1ddXmuZKikgiMpikknpiTfGYt10/daWi05mzdncrp0lP/lF7h3T/Hxs698FMMzZXr3u1arZfjwgcyfPyNmQFGzZltu3Hj3jCQCI7UhxgpPSWmulGzSRqWx79SHS1nzEZKEqVT3hS+V1UbZyelzJ2Ulpn+bTgWgepa69OlTmanpKlO2bF0ihHSQTmXHLppPntzl229rcffuO9+X1taOMaJBUjGWvmrsshIbyUWnsZtFd+4oh7u4KKtaSfHrxboM3ib39NS10VI7baSqnWIjJZWnaIleH6DJkCFMv3yZbmvXYtOsmfLzGzYoBofYve9ja/Hi+Xz7bV9Cozdh8uXLJ+ZzbKS6KSWNpERpKajHai2Un5fi/9+tuOe5vo8xlN/37umadClLJMHGa9eUw93dlU88+Hgpp8GwX3VqsIFWowgOXUjDoXspV244479WbiuyuAiGWr0Lf/v2LQ2aNmX33r2YmZkRFRWFg6Pjex2vVE+kemttoXCtS+rIXxupKGZIHfBDJCUzfcExlOlmZu9+lJAaO6mQSB2QINgVfE7nk7THlIlMnDiG7zbvImPGTNg++Ni9idbtYwVx+Ljd/fffvfTr15zXr18Cuqs0lg7OREbXsSgjhRylvlNKMikLXaU0k/JWMkhqFPTxG5J8DwzUqQ4qtdNS222k2qTYWES36w0iI8lcrx6T8uRhzc8/Q926ys9fvKgcHivNtFot3wwYwJyFC2PCunbt9l4brIkQRE2k8irVT2PriVL8Qr8ZIMwp7gjDY325NJTdeHjoFN+l8ie1Ic8UZFnh/YFzLG7fU27vD0e1AaBgDVemTq3D9xe8yJevKu3Ob1SOXyj3bl45Y36/desGzZrV5ubNd+2EhV0agiJ0aWjn5f3R5+ET5UBSnzdSydZoNW9j1WP1eWhogvbyJQQHy+VSmhgKbYunl4L9VsodZFCgbv6UDqjVvD4/37hOs+PncenXVfH5q/1/VwzPk+f9/y9bNpNJkwYTHq5Lm/z5i7/XNkuakFJVfvBAOXzFCuVwSfA0X74siuFppAGEMSqj+nJjYEEg3MqecCt7UeVDKgZSc+ZhIWyevfi0HX1r1GDatm3M37ePQbVrw08/KT/YubNyeKw5f0BAAHWbNOHg4cMxYzdLRw8CcIx5xtFKOJUvtWnGXKmV6rLUJkh9p4Q0YdS3RUa4CUmW5w67d+/OoEEDWb58OaNGjfqiuIaPHUtaDw9+HDmbly+fkzNnfhwcHA1/UCXR0Gg0dG/YkEEzZuDn74/rF6y+37jxP+bNm87XXw/C3b0AERHhlCmjLFuuYjqKFKlIxozZ2bRpIWXLCoP8OLJy5TRevnzMyJErsLT0w9MzHUWKlI4nS1Xii+5NmrBq504Onj5N9S+IR6vV8u23falevTYtWzbn9evXVKhQMb7MVIknHBw8yZGjIf/9t4iyZYd9UVwrV69m9969LJo7lygzM+zs7GjYsGH8GKoSb/To8Q0jR/7AqlV/M2jQd18U19SpQ0mf3oe5c+fw/PlzChUqrJ7GSGKYm5vTtVEjhs+eTXBICF+i93ju/HnmLFzI0MGDyZE3H5GRkdSVFgBVTEb+/DVxc8vIwYOLyJev6hfF9euvU3jz5jVLlqzk9euXZMyYiYIFC8eTpSrxRefOPWjatC4nTx6n2hfEExYWxk8/DaR69SZUqtSAgIA3lCr1ZQI4KvFPxjRpqF2oEAv379ct2H0Bf/z9NwcPH2bp/Pn4h4C9vQP16jWKJ0tTFslywc7e3h6AMWNG07x5c/I62H9WPNdv3OD0uXP06dGD2rXfnegICgrE3NxclZNOQlQvVQpmzMCtalW0XyApvX79SszMzOjS5RvCw3U7JhEREQQFBWBjY4e56h8jSaDRaPDwyMChQxvZseNPqlRp81nxvH0bwLFjW8mbtzRVqrSI2TQODn6LVqvFzu7z2g6V+KdEvnwA1Pj6a4IyZMDuM9Vnt2zZSGhoKG3bdqRJE52ynFarxd/fHxsbG6zU4/ZJhgwZynD16ho2b+7AhG8mflYcUVFRrFq7lnTp0tG5Y8eYo9AhISEEBgZib28fL86WVb4cp+jd6REjvqdhwybk+8z1tRs3LnPt2gV69BhK06bvxm6BgYFYWFjEi0N1lfihRpkyDJ89G6+qVXkjnVqIAyvXrsXc3JzePXrgnTUbAOHh4QQEBGBnp47dkgpmZmY4OaXl2LEVlCjRnHaVP68ff/36NXv27KB06a9o1Kh5rENIutM/dtJJQpVEp2TJMgBUr/4VIW3aYP2ZdXHnznVERETQrFkXSpbULf1FRUURGOiPtbUtlpbKNw5UEp/ivr5sOXuW3r//zqycOQ1/QIHIyEhWr1+Pb5YsdGjbloAI3ZqLOnZTJtn5sNPTpEkTABo1avhZnw8NDaVFp054pU3L0IEDAQgMDKB586/In9+RPHnsmDZtRHyZq/KF5I51B/mWdCbaAIcP7+fnn8cwePCP+PjoFuuOH99F3breVKniRJ06Xly/fj4+zFWJB6pX10mQjx7d9rM+r9Vq+fnnnrx69YS+fWfEhPfp04rcue3Jk8eB7t0bqbLxSQRH+3eLp4sN3v9R5t69u/Tq1Ym6dRtSu3Y9AK5cuULevLlwc3PG1dWJ9evXxYu9Kl9OpkwVAbh4cfln+zyaOn0623fuZNHcuTFhEydOxNXNDUcnJwoVLsxr6b6MSqJTsWJlADp1+rxNmODgt/Tr15wMGbLQufMgAPz8/ChXrgwuLo44ONgyYcL4eLNX5cvInz07AP6BgTz+zL52x+7dTJo2jQmjRpHOW3cNcsuWLXh7e+Hs7ESGDOm5cuWKgVhUEouyZdsB8OuvjT/r81qtlj59uuDv/4Zx46bGhLVu3YS0ae1Jm9aeDh1aqmqSSQRXV9eY31dJPl0McPfuDUaM6E7duq0oU0Z3MvPatQvUqpWDEiWcKVnSmQMH/okPc1XigWrRG+yzd+367LHbhMmT2X/wIAt/+y0mbNy4H8mQwZl06RypWLE4AQZ9+qQeku2CXd26usnY9esf+0CJC7MXLODCpUus+v13HB11V2CfPXvEqVOHY56ZNWscEyb0VzuFJEDs3dMlW7ca/fmoqCgGD+5JyZLlGDRoeEz4li2Lef1a5wjt9esXtGtXkOvXT3+5wSpfTO7cxWN+DwkxXnDkzJl97N79F4MGzSFjRt2kITIyks2b3zmv2LlzA23bliAkJP6cp6p8PrXLlQNgquT/wwDDhn2Lvb0Dc+YsjtmZO3ToINeiHbCFhobSrFkTNm9eEz8Gq3wRHh55Y34/d+mS0Z9/9OgRw0eNYvCAAdSs/u4i9YSJE2OECM6fP4+rmxtPnwr+i1QSlUaNdCfiTp36PCXJpUunc/fuDWbMWIWtre6Uzb179zh27N+YZ378cTgjRgxLEGV5FeOI7UD8788QDouIiKBnv35Ur1KFwf36xYTPnz+PV9HOrZ4+fUrevHk4f17dcE0KZM1aMub30HDBn9wn2LlzK5s3r+PXXxfi45MZ0J262bTp3Wbb2rUrqVy5UoyfWhXTUqJEKQCmXb78WZ+fMGEAbm4ejBkzN2bsdvToLu7fvwlASEgwvXrV5dSpLfFjsMoXUTCWj8urnyEkdefuXUZPmMCwIUOoVKFCTPjPP48nLNq349mzp0mf3onnsTQGUjOfdyVWcuAqLWxJTvoEh7XBDh6K4RdPxX5VrCOYSvYYcNi788ABChQoQK4iRcDWFnfA3T0nS5eupGPHFjGPL1s2g6Cgh/z++/L3rlmYmykPBC0sjDu+KTnElJJS8pkqbWoY8o1q8NaZ3omt0jUy6cO+vsrh6dIpBj9EWYAgve/7eViiSBFOnDmDg6urYpkqVED5tWFhcOfOPW7c+B/ffNMbR0cNZmY6n7qzZs1j1ixfZs6cEPN8nz7FmD59NTVrNn0vHsn/q/C1RJ+jUp4o+YeVfNJKt4KluPVFV4ovBmdnXX2SCqDk5FM69Ri9C/MhTwQH9rH9H9vYZI/53dv7DZ6eH1+BkPLEzQ02bdqJvb0933xTB/0G4KNH5vz9935GjuzNtWs6R9dXrpyhc+cKTJmymTRpPGPikIRljPXXLTkzP3NGOdxYf/SGRDPi5Kza1lZWVZEKjeRwXAnJ+A8ysFzBgmw9fJiiGTNC5cofPy84wra30k0K9uzZQYtmzfBKY4OFRThERNGtfVvC3gbSf/DgmOe7dWvG6NHjGDr0fd9pkpkaaUHXXzltgq2cFcMDBZEUY/eElJ7X3xAyND/KkePTvsmlOiWVS+n5K7eU7zu+3yS8K3MBb98q9ylCX661smb/v8cICwujdbv2RFlaodFoCAuD48fPMmrUCFavfrc4X758cdas2UL+/AXfi0fsA5W+mLGJII1DjG1EpIY9rg6Q9WpuUgE31pGy8H1fZlL2L5XG5t14qUD+WGM3hSuSGpTHVtmy6cZWp0/voFixolSqGyQ6bQABAABJREFUlBUbG50p+fMXZPnyv2jXrnXM85MmTeDGjbtMn77kvatUxg5TJaR2PczBVTHc010oO1L7Kp0K1ZcFQ4M3Ozu5XY9je/xeXEpky6Yc/kE7nSNbNq7duIFF+fJQtuzHz0vl292d61eucOfuXYb98AMaW1vQaAgJgfnzlzNlykR++WVyzOPFSpdm7cqV1PvQt50xYhEgpo/WTPmqn1JW+Rs5VpcEtPTZZ3CtM21a+EBoJ05I/biQNlnclOtnSMi7uU/27DkZM0b3+wnPSri4fCwkkz+t8iTf2SGSI4d34OrqSoO6lXB20J3KDAqxZfPm3fTu3Y27d28DcPDgQSpXqsimDRtwjz0QMla8Ryp/UvmQhAakCZo0SJPs1Ge6IYf09va6H2nsZqwwoEI9CQpRLvMflteiRSty4sQxCmTPDsWKffR84XzKA5NIM0u0Wi1HjuykR4+e5M1rj7k57N4N5cv3wc8PFiwYFPP8Tz/Vo2XLKdSuPfi9eKSkkrJc0jqUmjpJv+O1m7JbnayZjej79f2ggdNklgGvsCRc/FJBb5XXH6wDXypHKCRaqJeygKN1rMFb7GTyT58esiiIckhrARYW7Dt8mMjISNq2bRtTDxwJ5tLp0/wwciTrN22KebxEuXL8s2EDeXLnfj8eY8QRhQ4+PEI5zSzNhNPgxvbXUgHUi1EYsYmVbE/Y5cpVBCcnN5o1623U516+fMmff/7Jjh07OHPmDHb29mjMzLh9W1cbGzduTq1a9cidOy9//bWeZcv+YPPmTYwZMzohvoaKEfTt1g2AOl99FefPaLVaLlw4z19/6UTHBwzog52dOaVKFQHA0dGJTp2+AaB79wGsXbufmjWbMWRIW27d+l88fwMVY7C2tiN37nLkyfMVHh6ehj8Qzdu3b/nnn81s2bKJoKAgvL3dsLHRsHWrbmeuZMkKVK/eEBsbW+bMWce0aVt58uQe48Z1Uk9kmJj65csD0NhHecAgcefOHWbPmYO/vz8LFi3C0s4OjZUVwcHBWFhY0K93b9zd3WnUoAE7Nm9m6NDhjBw5nM2bNxmOXCVBqV69Ny4uXhQtIOy4KBAeHs6BAwfYtEmnQFikSGHMzc0YMULnxiJr1mw0bqzbcJk3bzE7d+7HzS0Nbdo0ifGBpGIaSpYsiaOjI98OHmz44Vg8f/6c5cuXc/DgQY4ePYqdnS1mZhru378PQIsWrahSpSqFChVmzZoNTJ++hA0bVvDrr5/nG1El/vi2d280Gg21jPB1pNVqOXv2LH/9/TcA3Xr0wMzSkvLRMo4uLi506dIdgEGDvmPnzgPUrlmTlm3bckuaXaskCs7OruTNW5QyZarh7CxMWBUIDAxk46ZNbNq8GT8/P1zSpEFjYcHevXsBqFSpCg0bNsHFxYU//1zLlo0buXb9Ot179lTHbiamVi2dm6oG+fMb9bmbN28ya9ZMwsLCmDnzV6ytLbCw0BAWFoqFhSWNGw/A1taBChVaMGHCTmrX/pYVK77l/PkdCfE1VIygS6NGZPTyokB65UM3SoSHh7Nv/342bd4MQK78+dFYWTFx0iTd/3PmpEm0YNifS5awb/t27OzsaNKyZcytidRKsl2ws7S0onHjHqxePYvH0q5GLF6/fk3zdu1I6+lJ23btKFKkCOWjJ4cAR48eYsCAXvj4pOHUqeNUrVqTunUb0rp1G374YThTp07hoiQ9r5IoNKpTh/Te3oyYPTtOz+/bt49s2bJSvHhBpk6dRPXqNcmSRbfif+7cWW7cuEaxYpno168DAB06fE3p0hWYOHEp3t4ZGTWqZ4J9F5W4UadOHy5fPsT+/bsMPhseHs6YMd+SN68bTZrUJzw8nOrVa8YoBx46dIDFi6eTO7ctBw5so0iRMtSo0YgyZWoxdOgC/v13G7t3r0ror6TyCfJmzUqlYsUYdvp0nAbg127coGT16mTJkYP+gwZRqWJFCsZa+PnftWuUKl+eAkWL8uLFC1q3aEH1atUYNWoMtWrVpnfvnuoCjompWrUn/v7PmbV4scFntVotcxcsIK2PD5UqVWT//v3UqVMn5nTF4cOH2LFjG25u9ixduhB3d3fat+9I+fIVWLZsFY8ePWTSpLEJ+4VUPomtrS1du3Rh6rRpvJSOqcXi1atXNGrcGC8vTzp0aE+xYsUoF311HuDff4/SrVtnvL3dOXPmNDVr1qZ+/Qa0bNmR3r2/Y/r0cdy8KRzpVkkUmjdsiIe7Oz/uMtyPA+zcv5/MxYpRpHhxZsycSa2aNckcfeT98JEjXL16hSxZvBkwQLfZ2qNHb8qVK8/ypUtxd3fnm1hXZ1VMQ9u2fTl6dBenTxsWiQsLC6Pf99+TJls2GjZujJWVFdWrVcMi+uTNvv37mTZtEu7utuzdu5PSpcvRoEFj6tSpw5zZs1m/YUPMAoCKacifvyiFC5di+Ja4XVm9fPkyRUuWJGfObAwZMphKlSqTP9Zi36NH1+nduyi9exclODiQypXbUaRINVq0mESePFVYsqQ7ERGGrgypJCTftGjBg6dPWXDkiMFntVotM+bMwT1rVipXr87xkyepU7s2btEn0A4fPcqGTZuwS5OGZX/+SYb06WndogUVy5dn5R9/cPPWLSb9/HNCf6UkTbJdsANo1WoA5uYWLFi+/JPPRUZGUrtJE3bt28fMX3/l4YMHnD51igP796ONikIbFUWbNh0IDw/Hz+8Vr1/70aFD15jPDxnyHe7u7jRoUBe/z7irrRI/2NnZ0adbN7YfPcpdA8ITx48fp2bNGmTOnJktW3by6NFLNm3axpUrNwkJ0RISosXDIy2PHt3n8OE9VKpUkyxZdNc7bG3tGDBgAidO7GfGDFV4xJSULdsMT88sLF8+3+ACzrBhvVm4cDrffPM9Fy78j0uXrrNp0zbevAkhJETLxIlTcHNzJzQ0hAsXTtOhQ5+Yz371VT2KFavM+PGduXlTXZg3Jd916MCdwEB2G6jjj5884at69Xjj78/qv//m5ZMn7N25k3OnTqENC0MbFkbBAgU4fuIEFy5dIrOPD7Vr1gR0KsSTJ0/j8ePHtGzZVPVTakIyZMhLkSL1WLZmDcHBn/YlOXfBAnr160fThg05fvwEDx8+YvPmLTx79pyoKC379u3Hy8ubt2/fsnPnDnr27B3jDyd79hx06/Y1U6f+xObNGxLhm6lIDI4+Xbf4r78++Vx4eDjVqlfn0KFDzJkzl0ePHnPixEkOHjxEVJSWqCgtzZu3IDAwkJcvXxIcHEyHDp1iPt+//3AcHBxp27YOAQGf5xdT5ctxcnKiV6dObLlyhUcG/JMe/PdfardpQ67s2dm9Ywcvnj5l65Yt3L5xA21EBFHh4bi7e/D06RP27NlFvXoNyRB9rdPR0ZGxI0eyfccOJvz0U2J8NRWBunXbkDZtOtasMTx269qvH3OWLGHE4MFcv3qV/12+zI5t2wgPCUEbEcHYMWNwcXElJCSECxfO06PHu5tVTZs0oXSpUrTv2JH//U+9FWMqNBoNPXt+x5WnTzl08+Ynn7137x5fVa5MaGgoa9as49mzl+zatYezZ88TEaElIkJLpkx5uHHjDDdvniV9+hwULlw15j2tW0/l5ct7zJ7dUj1ZaUIK58pF9dKlWXrsmEFflb/Mnk3/oUNp06wZp48f58Ht22zZsIGXT56gDQvjn40bSeftTXBwMDv37KFPr14xn82XNy9dO3Vi1LhxbNuRek9WJusFO1dXD5o378OoyZPZEX1kWonTZ8/y7/HjrFq2jK+//pp0gtOxWbMWUrx4KWrXrk+OHO8uuFtZWbFjx25ev35N//594/17qMSdTq1a4eHqSv3+/Qn6xORu3rx5+Pr6sn37DqpWrRZzyio2zs4ubN9+Cq1WS48eg977W40aTenZcxhz547n1KlD8f49VOKGRqOhRYuR/PPPOubMmSY+FxQUyN9/L+L77ycwePAosmfPofhcw4ZtadmyGz4+WalWrcF7fxs9+i+8vTMzenR7IiKMd5SsEj9ULVGCsmnT0mr/fu5+wofLqo0bef3mDYe2bKFpkyY4Kfio0Gg0hAcGYmZmRu9evbCL5fMiZ86c/PXXKrZv38a8eXMS5LuoxI26dYdw6949ug8Z8skB+K9z5tC6RQsW/PYbxYsXx0zBX1PBgoX45ZeZaLVaBg0a8t7ffvxxHLVq1eWbb7ry9OnTeP8eKnEjXbp0dO/WjaHjx3Pg6FHxuaNHj3LmzBnWr1tH9+7d8fLyUnzu779XUbBgIRo3bkrWrFljwm1tbVm1ajfPnj1h9GjjruCqxC/dO3TAycaGBsuWEfKJyd2c338nb86c/PPHH1SpUgUrBf9c7u7u7Np1kKioKPr3fz9f27Vty+CBAxkxahQnTp6M9++hEjfMzc3p2XMEW7f+xcqVcv/6ys+PP1atYurYsQwfPJhsgl/Ezp2707p1e/LkyUfVqjViwjUaDWtWrSJt2rR07NyZyM9UIlb5cipVqk3xTJlotngxDz+hzP73ypWEhoZyaN8+GjZsFCP8GBszMzM2bNDdfmjQoC9WVu/mcJkyFaRHj2WcPr2egweXxPv3UIk7Qzt35tLjx/RZ9enbSTPnz6dLu3b8NnUqRQoXVhy7lShenJ8n6lxYDOz7/lrLlIkTqValCp26d+flS8EnXwonWS/YAfTtO4VaVarQqnt3bgneXE+ePo2VlRUV4+D7LCgoEAeHjxuPfPnyMWXKVP788w+OxOH4p0rCkNbDg62zZnHz/n26jh4tTu5OnTpJpUqV33M2rYT+Tryj4/uTfY1GQ58+oylQoARjxnyjnsAxIZUrd6BPn+8YM2YIBw/uUXzm4sVzREZGUrFiDcW/xyY4+C0ODh8v7qRJ48nIkcu4du0s69fP+2K7VT4Pc3NzNlWrhpOlJY327CFYcIR+8uxZihYsiIfkWDmagIAAzMzMcFRwIN20aTM6d+7K4MEDCDKozqGSUOTIUZrFU6fyx9q1zFy0SPGZgIAArv7vf9SoWtVgfCEhIVhbW380KLS1teW33xaj1UYxduxw4dMqicHMmTOpUKYMzbp25f7Dh4rPnDx5EgcHB8oqCRXEQqvVEhgYoDjxy5+/MMOG/cQffyzg/HlB6UclwUnn7c3mDh24+OQJvTZsEMduJ8+do+pXX8Vch5TQq4N+OF7XaDRMHDeOAvnz07tfP3XsZkJatuxJmzb9mDy5H2fOHFZ85sx//6HVaqlZpYrB+IKCghTreLp06Vi6aBHHjh9n6e+/f7HdKp+HlZUVW3r0wNLcnCaLFomnrk6eOkXJEiVwdVUW6NETHOyPRqPBzu7jPC9bth1lyrRh+fI+hIerSsGmokKxYsxt1YoFR44w/7ByHX/x8iV37t2jRhzqeHBwMA4ODjE3I/TY29uzdMEC3r59y6hx4+LF9uSGcSqx6dLpFGkklQxJsaNQIUA3qHr9+nVMJY20UFaRuybcSLum6IbEnEXLV1G2bHEadOzE9u17cXd3xzpCN/kKDQ1l265dZPbx0S3eCP6KXr2y5/bt61y+fJG+fcfEKIDF/koNGzZi0KAB1KlTk8uXb5JWQSlIcskiKUBJymTS5sS5c8rh0kEUSaROv4ll0H1Txoy6PFcaPEkfjqU65R8QgL2dHebm5qKcqosgTHbpzsfKUgD5ypRh8S+/0KJnT/Lkz8/w/v3RaDRook9FXbx4kevXr9O5Qwc0EeFYWykXcycnDXv2rMPT04uvvioWI6717qua07JlO4YO7c24cd2YPFl5IimNB6VqIo1DlZLHWBVhSSxKX47NlQWf3mFrq3tYMl4qyDnenWjz8/N71xELFcLBwVsxXPIp+uOP47lw4Qzdu7fgn38OkTOnTi3IwylUpzB1cB2WlpYUy++Fs3OomEDp05mxf/8W+vXtS5bMugmDk9O7jiFbtqLkzp2PqVP70KBBEcqUKRNnG6XqIOV3kSLK4bGVcmMj3RCVbhjpy4Ih1dCYPDdUeD4kOs9DQkOJiorCztZWF37v3sfPSg2d0HC5NWrE+sKFKf3DD3S8cYM/+/XDwtw8RgHv2fPnHD15kq9Kl9aFSeX11Su2rF1LREQEdUqUiEncqLQZYx5p06YDixcvpGLFcpw9euSjgYLuA8rlSeukrAZrYaRoqNRvSFmiJFJn4KZZDBqNLsmEw0piXxI7/oAAPxwddXVcqg9SOZa+U+aSX9OmzU0Gjh4NzsUoW7YWAEWi7dy4dh0A2fLkRWtjiyZMeZBupdWyaeNaalavjpM1gO45KzvdeMPHx4M6deqwdOlCSpcuQfduXRXj4ZVCQiiomn4SKTGlDl4qIFI8+sQ3pCZoba2LW1Isk6TOo+u+Vqvljb8/Ls7R5V1QopRERh8+UlJis2Tl5MkUbdKEhm3asGfpUlycnGLSODg4mB07duCbJQtmUVFiQbM0M+P8hQs65+VTa2AZoTt57+ZmG/NMu3ZNGTduCM2aVeby5duKE0Wp/TakvB7XcFyMVJY0pGgpVSQ9jo5yXy61x7E2P94EBuJoZ6db9JYSRxqICN8p/bBfmZKjOH36tCdTnZZ8/bXudJynky7Pzp47x90HD8ieJ4/ORiF+W4so/tm8Bh8fH4oXyoVGE93JRaeNBdCmWTO+HT6cvn36MGue8gacFmWFQCnPpXZa6Xm9COCHSFXfwL4TBm/+hYaCpaWopC7mYawv5ffmDa76Oi61KYKhmTJ9vKgCMGTIFK5dO8egQU1ZvvwQmTNn1/3BxYWoqCg27d2LtbU1GfLk0Y1FhDyPjAxm165t/PDDiJiiHxrxbkBbrGR5fH2z0q1HDwrnz0+Rwh8rVmvtlBU9NdL4QVLclZ6X6qSBxeeP0NdPQwN2MzPdj1R4pMYo2h9kcHAwGo0GG/1znzgV9yHSeMOnXTvWFSjAV02b0v3oURb//LNu/hfdOTx+/JjjJ05Qp2ZNiIjA3EY5bTJn1nD8+EbMzMxo0qQ2+iY7T553z5ibd6RNmz+ZM6cKO3cKi0XClEUKl8bZxgoAP3minHdp035cBt3ddWH+YcrlM4aQELC05OUr5XYrTdRz5c/Fau9jz8+0bspz7BeSNxr3gorBnUaO5GRkJL1XryZrzZpU0c+bouvDhu3bAcieM6cuTBgoaP38WLduHXUqV8Y8tmJu9IA3XaZMVK9WjVlz5lCiZEnatW2rGE9QmMJBHSPn4wQKBdzYzsGAax9jSNQTdpN+/plW7dvHe7yurq6sWbORp0+fUKZMMQ4fPkR4eDj/bN9OkbJl2blnDxNGjvxkHFqtlkqVdBPQMmUqKz7j5ubGoUNHCQwMZP9++Qquig6/N2/oN2YMY2fOjPe4m9evz5hvv+XHKVNo27s3fq9f8/jxY8ZNmECx0qXxzZKFzh07fjKOrVs3M3PmNPLkyad4PBegc+ev6dKlN//8s07dqY0Dq9evp2Hr1jyMx0YKdKeuFi78G09Pb6pVK8nq1X8SGRnJv8eOUb1OHX7+5RdGDB2Ks7PyAooeRycn3rx5Q+XKynUcYMuWQ7i6uqkKonHk26lT6Tsx/pUYC2bOzPK+fVl3/DgVR47k1tOn+Pv7s2j5cvKWKUNAYCDffXBs/kMePnlC+wEDAEgvrFCVLVuO335bwH//neOu0mKjyntcunSMX375moMH18V73H36TKJMmdoMHFiPhQvHER4expUrV+jatSvt2rWlSZMmlCpV6tNxDBjAv8eOUTlaTVKJBQsWUrp0adavj//vkBIZ++uvtBs4MN7jdXd1ZePs2dx++JCiTZrw79mzhIaGsmnzZgoVK8ahw4cZN3r0J+PQarUULFkSgArCLQpPT0/27DnAmzdvOHzYsBP81M6zV6/oN20aPy1bFu9xN2vWjr59hzJmzLf069cJf/83PHz4kFHjxlGyQgXy5M5N21atPhnHylWrmDNvHsWKFFHeYAEG9u5N1w4dWLtpk+rnKg78uWkT9Xr04JURizZxwdLSkmnTVuHk5ELLliXYtm0VkZGRHD58mMpVqjBz1izGjB6Nra3tJ+Nxdrbj7du3VKokj90OHTqOg4MDm//5J16/Q0plwNCh9P/++3iPt3jBgiyeMoU/1q+nauvW3Hv4kNevXzN3wQLyFitGeHg4g/v3/2Qc9+7dZOTIHkRGRuLqqrwq9tVXVRk9+ldOnTrCs2eqiwtDHDh4kB69e7N95854j3v68OFUKlmSmp07M2XBAsLDw7l46RLtu3al2zff0KZlSwoVVF7w09OhXz/OXrxI5ViiUh/yx7JlFClShHXr18f3V0jyJOqCXTpvb0oUK5YgcefJk5fDh0+SPn0GqlYtj5WrK3WbNsXOzo7Thw7FyARLvH79bnXUSTg1Abqrsd7e3uzeHf8FPqXhYGfH25AQ6sXhGOznMGLAAP6cNYvNu3bhni8f6Xx8GD1uHL2//prTx48bXLyZPXs68On81mg0VKhQjTdvXvPff6fi0/wUSeZMmUjr4UE6b+UTdF+Cm1satm07Qo0adenRoy0eHhaUqViRa9evs33zZkb88IPBOMKid0YzZswoPuPs7ELRoiXZu3e3ukgbB8w0Gup9YnHkS2hSqhT7Ro3i/osXZP3mG5wzZ6Zrv35ULFuWS0ePkidXrk9+fm8c3RdUqVINgJ27d3+xzSkdb+8sBAS8onDhSvEet4WFBVOmrKNjx6HMm/cjpUtbkzdvHtauXcPcufNYtWq1OEHXM3vuXAAypE8vPmNtbU358hU4fvw4r+N5gpoS8fLwoLR0JPgLKZQ7NydXr8bd1ZUyrVph4+hIgyZNSJMmDWdPnKBe3bqf/PyjWJtDn5r0FylSFBcXF3bvTr1Oq+OKs4MDQSEh1DVwFflzGTp0PNOnL2Hz5tXkzOlKhuzZmTBlCoP79ePEwYM4KLgviI1eLfBTV+rMzMyoWrEiT54+5dKlS/Fqf0okc/r0+KRP/+6EXTySJk1a/vrrX0qVqsqgQS3In9+Cr8qX5/79++zZvZshQ4YYjiSaDBnksVuaNGkoXLgou/bsURdp40iD2rUTJN7WDRuy5++/uX77NpnLlME1XTp69etHrerVuXT6NNli+RpVYv/+uC26li9fHYB9+9Q5uSGyZc3KmzdvKKdwc+hLsbKyYvP8+Qzq3JkhkyZhlTs3+YsXZ8u2bSyZN4/lgquT2CxfswaAjNKJf8DGxoby5cpx9N9/CTR0syCFYeQ53S+jvXB8Mb7w8fFh16797NixjVP/HqRRvXqf3IGLja2tgaOosRgy5HsGDOhHy5ZtqFw5YRajUgKWlpasTIDTdbFp3bgxlcqWZc2WLYRaWtK5Y8cYmWhDFC9eigMH9tKmTYdPPle5ck3y5i3I4MFd2Lr1lKKAhYqO4kWLsjoBduX1ODk5MX/+n3Tp8jV79uyg8lfFqFGtmu7IvRF8asEOoHfvITRsWIlff51B//4DvsTkFM+MoUMTNP5yuXNzYdo0Npw4wU1bWzq3bYuPgfzTkyl60aZjs2affM7Hx4dmzVry3YgR1KlZk/SfWOxJ7bi5eTJlSsItelhYWNCr11hq1GjFvn3rKVkyI82bN393bccA6dKl49GjRxQzsMDUq1cv5sz5jf4DBrB0ieq4+lN0b906QePPmikTh//8k38OHODEvXs0a9KEQoUKxWnsphebMdQHaDQavv32e4YPH0rLlm0oXTphFqNSAtZWVqyeMCHB4tdoNLRs2ZEKFaqxefNqHKzD6NSuHS5xvHJermxZzp47RwsD7Xr92rXJnTMnHTt14t+jRw36NE7NlC1alLJFiyZY/M7OrvzyyypOnTrI0aO7aNSwHNWqVRNvt0gouSKKzeDB31G/fi3mLVxIz27dvsTkFM/c6dMTNP6KpUtzafdu1m3fzt1Xr+jasWOMorMhfHx0fps6dPj0+NvXNwc1ajRkxIhBVK5cAw+PT5eP1Ez69OnZsWVLgsVvZWXFT0OG0KZBAzbs2oVvgQI0bdQoznNmO1tb3gYHUyhv3k8+1/ubb5i/cCGDhwxh7m+/xYfpyYJkLzrxIRYWFtSpU48Jo0ZRvGjROA34QLdqmzNnPtq06Wnw2W++6U358hXp08fwsyoJj7enJ326dGHwwIFxXqwDqFFDt7OUMaPg8yMaKysrZs1axs2bV1m6dNYX2ary5Wg0GkqVKsewYWOpXbOmUYt1bdu2pVSpUgYH7uXKVaRPn74MGzaUF5KzC5VEw8nOjvYVKzJ66NA4L9YBFMmXD4CKBq5RAsyYMRsba2u+//HHz7ZTJf7w9c1Dly7DaN++fZwX60CnLmZra2twYpApUyZ++WU6v//+uyoklQSwtLSkYdWqTBg3jsKFC8d57Obo6Ei2rFnp06uXwWcHDhxMiRKl6NtXHbslBby909O9e38G9OkT58U6gAb16gGQ0UAdt7W1Zdm8eZw9e5b58+d/iakq8YBGo6F48Qr06zeOGjVqGLVY16hREypWrGRwvFe9ek26de7M4O+/582bN19qssoX4uzkRKfmzRk1fHicF+sAChQoAUChQp8eu2k0GiZOnEdUVBTjxg37IltV4of8OXMyondv2rRsadQBl6F9+uDq4oKXgUX5rFmzMmXSJObNn8/p06e/1NxkQ4pbsPsSsmXLw82bVw0+Z2ZmxqBBQ7h58wY7d25PBMtUEoJcuXTeS//3P8N5njdvASpXrs2yZb+psvHJmNy5cnH1quH8BujffyBRUVEsWrQwga1SSSgcHRzImC4dV2/eNPism5sb3Tt3ZvW6dTx+/DgRrFNJCHLnykVwcDD37983+Gy7du3w9vZm5ix1IyY5kztnTq7+738GnzM3N6d//2+5dOkiBw/uT3jDVBKE3NGuEOKS58WKFKFq1arMmj1bdXGRjMmdOw9Xr16J07ODBwwgJCSEJQl420MlYXF1dcfNzYNbtwyP193d09KmTWfWrv2Lly/VDfbkSp4cOfB7/ZrnL18afLZL5864u7szc/bsRLAsafB5V2Kl+8XRpxk+5I2/8k7pmTPK0UjXkqXwgwo+hEuVUr7iKgkl6URzMgJn9QI6AFy+rPx83bo1yZ07NwsW/EbdujVjwiXxLUloUTq8IwmRSAJQkkCJpNqmV0YxKF6UN6/uSylEFGyhrAol5ZOdYIukviOpDEZFKftHy28lVHIhEe7f98TW1p7Tpx/GFjmNUdD9kLFjf6RkyWL8998Oasfy+yCVKUPCfnF5/s4d5WclTQfpIIpeycjgoQW90phUcISdj3AboSxEKIe7Cy5qChRQDpfW2EqVMu568ogffYiKeo2FZTAaja5SSnXH1dWHpk3bsHDhQtq2/QZHR913kQTCpHCpfEhtizSnkNqWW7eUw/VtTnCw8t9j0CtBSwVT2gWXfH8Z8Cv3HpKvIqVGHeD8eeVwqYENCSFTmjQ8vHnzvcpkLai5DRgwgDETJ7J85UqGDB4cEx6O8olMyyjlxfuICOVTAJKInHQw2NFB2Q9PcMjHFVlfxw2JR9rZ6X6MVXGV+h6peEjh0kEaSVVRahMshc4rU/SLH54+jU8sP0aPHHIqPG3B4MHDGDKkH5dGTCRz5iwxfzGz+1hBzUb4TprAAOU/SEg7yFIDLmSK1iVa7c2QRHCmTLq6ZuT1M7EwCPHo1T4/JChK8C2XLsfHYRcvGvVOv3R58UyXhaNHD+IX8u49UntZv35DfHwys3DhXMqXrxgTLjUhUnsshUvt/du3yn2Vt1CxIqOUO2vzt9FlzVCeOzjIX0oqZ1InJj0vVWYh8aXHdx1ULh+xx+KxyXriMOZmZjz855/3ba5ZU/H5kcOGUbZCBfbt3k2VWIJTEUK7buy6ntIYQlKPlMqlob4hwFATY2+vy3NpUC+FS52PVBaEsaF9oPIGSY4cwol4SXndTLnvjIjIyNOnTzl6NAKL6O8iuUTPnjcfTZo0Yf7ixXTr9TV20fVAI/TXYvmWKrOUWZ8YhxjzfKiXj+5fOwN13MNDl+dSHgqFLdRCeX5ske7j8fpbYXwsNT+ReZTz2/yRsIEm2DhunDOQkW3bHuLn9y482n3lR3z//bfMnDmFzZv/onfvd2Jk0rji2jXlcCkLpSmRpFMmZbnSuEuvfGvQJdvz5xAcTBo74UGpXArGa4QxfHqhT3oToVxu/OyU/RE6CebE9GEfcPqWbrA3c1UEmTK9m+crelPT2DHk22/5ceRIxo4d+56bI3u7j8fN4RHK/ak0JAq1U/aPauWi/LxGSnupoujDjbghpp6wew9PIG5KMxqNhkGDBrN582YePHiQsGapJBiurp68ehW3PC9atCjFihVj3rw5CWyVSsLhGf1v3PK8Z89+3L59k3//VZUFkyuerq48lVZlP8DFxYWunTszMxX5xUhpeEbPlJ/GYZcWoGPHrgCsWvVXgtmkkrB4eHjy4oWwAv0BGo2Gfv0Gs2bNStXdQTLFzMyMtE5OPIvjlccypUuTL29e5qrXYpMtbm6eaLVa3ryJW53t27cfV65c4dixYwlsmUpCYWPjSUhI3MbqHh4etG7dlt9+U0/LJ1ccHXXzM3//uOV5r169CAkJYfXq1QlpVpJBXbB7D0/AHxCWxj8ge/bsAAQFBSWcSSoJipubJ35+cZcDz5Yte6pTpklJaDTGLdj5+PgCqHmejPF0c+Np7C1aA2TPlk3N72RMGhcXzMzM4rxgZ21tTcaMmQgKUvM8uaJbsHseZ3cV2bLpxm5v36pjt+SKp7MzT43wUZY9WzaCpBNTKkkeV1fd2C2uG+zZoq/KqH158sWYBTvQtetqP558cXLS3TyI64Kdg4MDXl5eqaaOqwt276GfzMdtp1ZfSFTV0OSLbsEubvkNusVZNb+TM7o6rtXGLc/1EzpjnN6rJC08XV15ZsSCXVBQkJrfyRgzMzM83Nx4FscFO61WG92uq3meXPHwSEtUVBSvXsUtz/WbrGqeJ188nZ15auhacCyC3r4VXSGoJH3c3HRjt7husL+r4+p4Pblia+tJSIg6P0stWFraYGvrTEBA3PJcq9Xy9u3bVJPn6oLde+j91/wXp6f379+Ph4cHmSTnPipJHm/vzNy8eSFOzojDw8M5cuQwRYsKjjNUkgHugD1xreOHD+8DoGDBoglnkkqCktnLiyevXvEkjgs4+w4coFiRIglslUpCkiV9ev6Lo7jM1atXeP78GUWKqO16csXHRzd2u3RJ8HH5AQcP7iN9+gykNaBGp5J0yeLhwfl799Bqlf18xiYkJISj//5LsaJqP55ccXPzwsrKmhs34lbH9+3bh0ajoYjalydb7O2zEBR0j9DQuLk0OXBgn9qPJ3Pc3bPw4EHc5mdnz57F39+fYpIzyxSGumD3HjmAfMDfBp98+/Ytf/75B40aNTZKmlwlaVGpUlOePXvAf/8dNvjs+vXrePXqFU2aNE0Ey1QSAo3GHI2mEVFRKww+q9VqWbZsAcWKlSJ9+rjL0askLeqVLYuFuTmr9+83+OyVK1c4dPgwTRs3TnjDVBKMpjVq8M+BA/jH4arE0qULcHZ2pmLFKolgmUpCkDdvAXx9s7F2reGxW0BAAKtX/02jRk3RGFRhUkmqNC1ZkptPn3JKUl2KxcpVqwgMDFTb9WSMtbUNZcrUZfduw3U8KiqKRYsWUqFCBTw8PBLBOpWEIGPGBkAU9+6tNfjsuXPnOHXqJI0bq/Oz5EyRIk04d24DYWGG1PJgwYIFeHh4UL58+USwzPQYpxIbFaX7Ea4LaVEe/EhiQ9JpdsnNhK+vcriSAMq6dcrPSoqkenGp69cbce/ebCpXjkSjMVe05dmzh7Rv35ZXr15Tu/Zgzp179zdpfiCJ+EhpIAk66dVkPkRSpJFEGPUHygzNZ/xCbIm0slWM55mgVCrln5GiU6IIpaS+9ZKPVf0AAoW0iYqCPHlK4+qalqNHt1KwoK7SK62/btmyjn79elC/fn2KFCn03t8kVSFJbVZCSSxJUiCSDgZIPrT1+SzlQQyOjrofocCGonz0OETIc6l8S3krlQUpjTdsUA6XhKzv3YOtWxvRtesfHDlyh4wZMyvmd2BgIN8P7sXhw/v5Z906XG1idR7CLao3YcpKd9LhTUlMVdJHkOq4FL9eFFX6XAyurrqGQorIYKH5AIX+ITKtsrKzhHmZMsp/kGSTpYbMyws3d3cqlijB1tOn6dOjh2jjyTNnaNGlC9mzZaNlixbv/c3SXzidJxRMGxvjyoKUR89fKPepSvVEX/cNtekBATo7JLVCKdxYNyFSGyWps0m3kKXn06ZVVteySJuTyi17EDp5MpuvPqB27QYApOf9a9GRkZFMmjGD336bwdix43Fxed8A80AF/1gWQkMkddjSFTyhIAQEKue3g4uyYpm+OhhUkPTx0bXr0uaiVAClzlzKLCEdxIuISostUgMovNMVP9BA49o1+XPNGly0r3QLcc8+/k73HjygVe/ehIaEMLhLB2zfvqvXWjfl8YPU/El9mGS+pE3m4KCc5xmEPaKQEJ2SY2CggZNlGo0uv5UqtFQupcovdcxSORDKk7X/c8XwihWVF1Wkun/ctxU2mSJw+HU28+9GElWtFQCZFfJqw4YVDB7cn8aNW+CVMR9vYhVp6WtJSGVBKdkMjb3jGq7H4LkA/fxMKmhSBMb271JHIMRv/lq573wcplzfpKJ58SJkydKI/fvbcuTIE5ydvRQVxP39/enbtxfHjh1j9erd76lymgkKtB4uQvstpZk0oZOMl+bM0jghuvoYvPijH69LhU2wXxqXP1KY00l1ROoajh6VTFFWj5XGCXXrAnhx8WIZoqK2UrduN0B5yHX8+FE6dmxFjhx5KV268XvzfCkNpYtx0hxKslPKcil9vLw+DtOvIcTZxaaUgdLkWMpEadyiJGULOAsy3+EOyuMT84vCSTmhn6lb15Hs2RuxceMI3NwOUrFiDQBsLcLfey4iIoKx48czd948fpk4EcvQUAgNffeAQn2zlNo5qd0y1t+pFL8hpXYjBtbq0bAPSJu2PuHhr3j+/J+P/nbnzlXmzRtJy5b5uXv3GjNnbiNTJiNXZVSSFGZmZpQtW49du/4i4oNGLSwsjB07ttCxYxM6dmxC1apVWbZsuYksVYkvypWrgo2NLatXL/vob48fP2L27OmULl2Q1evX8/uCBdTWr+arJFvqV6rE7mPHePj0ff83UVFRHDl2jF4DB1KmenXc06Rhxz//pBqfGCmVzJl9yZUrLytWfFzH3/j78/vff1OmRg2Gjx/P0KHDGDLkOxNYqRKfNKhdm8dPnrBb4STtpf/9j+GTJlGgalUePHrEjtWr8cmoPIFUSR5YWFhQtmxdtm//4yOxkdDQULZv30iHDg3o2bMVNWvW49dfF5rIUpX4Im/eGlhYWHH8+Mfj8IcPHzBz5lRKl87Pzp2bmTPnL8qVq2wCK1Xik2LF6nPu3Db8P1jsj4qK4vDhA/Tp040aNb7CyysDy5Ztw9LS0kSWqsQHOXLkIXPmrIrzMz8/PxYvXUrJsmUZ/9NPjBk2jH5ff20CK02DcSfsUgHOzsVwdS3HhQsdyZFjEpcuFeL27SusXTuHCxeOYW/vRM2arfnmm3G4uCjvEKkkL5o06c22bUsZMqQOLVsO4tUrG/bt28Hvv8/j1auX5MqVl9mzf6dnz3bqFZoUgJOTM61adWH69LGYm5tTs2ZVHj9+xPLli9m+/R8sLS2pWbMuU8aOJEe0ErRK8qZd/fqMnDWLGt26MaZPH9LlycO/J04wa8ECbt25Q4b06Rn1/fcMGTpUHfClEHr1GkC/fl0ZPPhrmjZtg1nQY1auX89fa9cSFhZG+TJlOLBlC2Vq1Da1qSrxQNmSJSlWuDBtevTgpx9/JH+2bFy8epXffv+dU//9h4uzM+2aNGHs8OG4ODub2lyVeKB587507VqKIUMa0KJFfx49smTPnq38+ecCXr/2I3fu/MyZ8xctW7ZUx24pAAcHd0qWbMemTcPRaqPIkaMSDx7cY/nyxezatQ1ra2vq1GnAd99NxMdHuJKlkqyoUKET69aNY/z4ajRtOoo0aTw5duwwCxbM5t69u2TMmInRo3+iTZsBWEgnxlSSDRqNhq5d+zN8eB/c3NypX78FVmav+GvFClauXk14eDiVK1Xi8P79lCpY0NTmJipq6VagSJFNXLjQkUuXetChg+7aQbFilZg8eS1ly9bG2trG8PF0lWRD9uyF+Pnn7Uyc2ImBA3VHcO3tHWjbtgtt23Yld+58gO6GiUrKYNSoaWg0Gn75ZQyTJg0HIE+efPz66zwaNWqGi4sL9maGfSioJA+cHR05/McftBo8mCb9+gG6ExrNGzVi6W+/UbZUKZ0vUnWxLsXQtm1n3r4NYvz44SxePAeA9N7ejPruO9o1b0766HvzkZ+KRCXZoNFo2LZqFe179aJrv34xYgTVypdnw+LF1KxUSXdyVlUKTTHkzVuCqVO3MGFCV/r2rQaAo6MTbdp0o1WrzuTMqfMho47dUg4tW87GzMyCTZtGsH697qpcgQKF+O23xdSv3wQnJ6e4Xy1USfI4ObkzevRhZs5szdSpjZg6FSwtLWnatBWLFvWgeHHd2E1yUaCS/OjU6RtCQoKZNm00ixb9CkCmTJkYP2YMbVq1wts72sWOQX8/KQt1wU4BS0tXihTZSFjYKzp2vIW3tw+urqrj0pRM8eJVWbv2Hvfu/Y/MmaPw8fHFRvLPopLssbS0ZNy4X/nhh5949Ogynp5epEuXXt2FT8HkzpqVc+vXc+/RI15ZWZE1SxYcHR1NbZZKAqHRaOjRoy+dO/fiypWLZHQCn4wZMTdX9mOkkvxxT5OGratW8fLVK25fv07mDBlwT6PehEjJlClTm82bH3LnzhXSp9fg4+OrujRIwVhaWtOmzVyaNp1KwYJX8PLyxts7nTp2S8FkypSfKVMu8OzZHYoWfUOWLFlxkPz2qSR7NBoNX3/9Ld269efKlQvkyOJApkyZUv3YTV2w+wRWVm7kySM4F1VJcWg0Gnx8cpEzp6ktUUks7OzsVBn4VEamdOnIJKmSqKQ4LC0tKVCgsE6cQCVVkMbNjTSp7LpMakaj0ZAlSx4yZza1JSqJhbW1vTp2S2WkTZuZ/PlNbYVKYqEbuxXB2z3c8MOpAOMW7AoX1ql7CKoWmgjlRH3xQvmakbHKqZJAoNINBykOSQSrfXvlcEnAQ1rcl4RC5s5VDi9VSjlcSUkGZMERSRxGQm+noQVrOzvdj9IVYOlasHQc3VhlUAljVdikclakiHK49L00IcpXJM2FLxbmoqyMKZUpJRUiyfZiwjhFSmN9eQo2dMvT1RWcnHgZqLxDLcUv1TdBVEisJ1LaSEpPUlmTwpXyVrI9ykFZwcvRTvkSXYgQj1RnpXIs5fmNG8rhhlS1DV4PiYjQ/UiNo5T4kr8QhS9sHhGq8OAnkGyRCv7ly8rhRqpchkYp91XWQoMfaaFcT6KENk0q31IZkVCKR98PGrrxly6dTlhOQrJF6vOk9luyQ1I6l+KR0ky6DSEdjH4YpqxkZibE4+2ukBCCkZFWym2FVMddXIzbKZbaKH2eaA0IhmJrq8tYIVNCHZRPoVlHBCnHJ9UrwVBLqQ1RKmxShkvhUsGR2hBhsV5z57ZiuLPQzjlnUpZxfftW+aSPVO6l+iYI9cV8XYPing4OYG+v3H4bqxgqtfVSvkqNhRCPpYVyAfbyUk7Le/eUo5dUZaVxiNRGKallgpwMSguFUp2ViqvU78e5b0iTRlfmJZlL6cVSWZDyVkpMyVChTEnRS+W+R+eP55daC+X+2tFMaLdiy4fGJkQoCMJETBonRNko9zEfqlzqkbJEnzYGVWKdnXV5LrXrKI9PpKzyVXD7Z+xVU6n4KQmCg5zfhQophx87phwu1R+pqzJW2N3Yea00DvnUpkKQUGxjCA3VGW7s4on0paT2XnpeGNBYSpkofVmhgfV2V5a7f/xCecDq5RV3FzYaY9s5KY2NWYgCuS/Up6URCyCqJzYVFRUVFRUVFRUVFRUVFRUVFZUkhFEn7PwDolc/pWVgYUk5MFB5FVSKRjoFJO2oRyoceJHiMHZV3eCKdxyflxaypVV7KR5pk9nYq916ewIDhRX5aPyjV+yV0i1AeTFctFH6TtICs5SHknsSY5+XNiOkhXjrKOEFQkIEm9krhkvpo/Re6TtJmwJSHdHHEyIdA4tGn98BQcqJZmyeS+XS2DJi7Ak7KR4l+6W4pXBthPIJu4AA5S8rlSdjD4xI31XKc/3zwcEG8lxviOQDxtgTdkrPGzwO8gHGHtsyNjGFyi/tSFujfEJQPGEnJJmxZkp5q1SOw8P17/h0fhv6u1RepXBjs0oqCkr9OBjXXsK7dIjre6V47K0UIhJP2Cm/VGovpXdK+S2VJ/13DQgwUMf1hkgnMaSTpdIJO6ljMnYXWyk9jfUYLwnFSLZImSKFS+2c0IYEBiq3o5KZxpZ7fZIFBRnI808NXqX8kCqtlAZSBy8d+TQyrwIClNPS2PFDfI37pXiUio6x410pafTPG6zj+vIolWNDx7k+RMpDKc+l+IWGNyBYOR4pb/39437CTvPWiAEgyAVBOIomnrCT2mnhhF04yvHok+yL23VhPGNMUYiveZ6x83qpG5CKZXzVZWNv7UjfS7LzU21FnNt06ctKiRlfJ+yM7cSkSbZcyRWDA4KUE9OYmymaKMFGY+c3xrYhUp5Ep8En++kP0Gi1Bi9TEBoaqjrgT8F4eXlx+/bt9/JYzfOUi5rfqQ81z1MXan6nPtQ8T32oeZ66UPM79aHmeepCze/Uh1KeKxGnBTvQFZjQUCP9EKkkC6ysrBQLiprnKRM1v1Mfap6nLtT8Tn2oeZ76UPM8daHmd+pDzfPUhZrfqQ8pzz8kzgt2KioqKioqKioqKioqKioqKioqKgmPKjqhoqKioqKioqKioqKioqKioqKShFAX7FRUVFRUVFRUVFRUVFRUVFRUVJIQ6oKdioqKioqKioqKioqKioqKiopKEkJdsFNRUVFRUVFRUVFRUVFRUVFRUUlCqAt2KioqKioqKioqKioqKioqKioqSQh1wU5FRUVFRUVFRUVFRUVFRUVFRSUJoS7YqaioqKioqKioqKioqKioqKioJCHUBTsVFRUVFRUVFRUVFRUVFRUVFZUkhLpgp6KioqKioqKioqKioqKioqKikoRI0AW7pUuXotFo0Gg07N+//6O/a7VasmXLhkajoWLFiglpikjHjh1xcHAwybslhg8fjkajIV++fB/9bcuWLbRv3578+fNjaWmJRqMxgYXKqPn9eUj57e/vz/jx46lYsSJeXl44ODiQP39+Jk2aREhIiImsfR81zz+PT9XxYcOGUbhwYdzc3LCxscHX15fu3btz9+5dE1j6MWqefx6fyvPYBAcHkyNHDjQaDT///HMiWSej5vfn8an8rlixYkyaxv6pWbOmCSz9GDXPPw9DdTwoKIgff/yRHDlyYG1tTZo0aahUqRLXr19PZEvfR83vz0PK7zt37ijW76RUz9U8/zw+VcdDQ0OZMmUK+fLlw97eHk9PT2rVqsXRo0dNYOnHqHn+eXwqz8PCwvjxxx/JkiULVlZW+Pj4MHToUIKDg01g6fuo+R03YqfThz9Pnjz56Pndu3dTunRp7OzscHd3p2PHjjx79izB7bRI8DcAjo6OLFq06KMCceDAAW7evImjo2NimJEsOHfuHD///DOenp6Kf1+/fj3Hjh2jcOHCWFtbc/r06US20DBqfsedT+X3vXv3mD59Ou3atWPgwIE4ODhw6NAhRo0axa5du9i1a1eSWbBV8zzuGKrjr1+/plWrVuTOnRtHR0cuX77MuHHj2LRpE5cuXSJNmjSJbLEyap7HHUN5HpsRI0YQFBSUCFYZh5rfcScu+e3r+3/2zjosquyN498ZujsFRBAFFbtBBbu7O9b6mWt3Yte6uu7aunZjd+fa3WKggJR0M/f3x8wgcV5hFJgBzud5eMR3Lve+c/qce877dcKOHTsy2IyNjfPYM8XgeZ5zssvzmJgYeHt7IyAgAJMmTUL58uURGRmJGzduIC4uLp+9ZcPzO+f8KL9tbGxw8+bNLHZfX18sWrQI7dq1yw8XcwTP85yTXR0fOHAgduzYgcmTJ6N+/foIDw/HwoULUa9ePVy/fh3Vq1fPZ4/Z8DzPOdnlebdu3XDixAnMmDED1apVw82bN+Hj44Nnz57hyJEj+ewtG57fOWPz5s1wdXXNYMs837p8+TKaNWuGFi1a4PDhwwgODsbEiRPRoEED3L17F1paWnnmX74s2HXp0gU7duzAX3/9BUNDwzT7xo0bUatWLURFReWHG0olLi4Ourq6P7wmJSUF/fr1w+DBg/Ho0SOEhoZmuWb9+vUQi6UbI4cPH66SC3Y8v3Mnv0uUKIEPHz5AT08vzVa/fn3o6elh/PjxuH79Ojw9PfPEf0XheZ57dfyvv/7K8H8vLy+UKFECzZs3x+HDh9G/f/9c9ftn4Xmee3ku5/bt21i1ahV27NiBTp065ba7vwTP79zNbx0dHdSsWTMv3Mw1eJ7nXp5PmzYNL168wOPHj+Hk5JRmb926da77/LPw/M6d/NbS0mLW7cmTJ0NXVxfdunXLVZ9/BZ7nuZPniYmJ2LlzJ7p37w4fH580u4eHB2xtbbFjxw6VWbDjeZ47eX7r1i0cPHgQy5Ytw5gxYwAADRs2hLq6OqZMmYKzZ8+iUaNGefYdcgrP75zld7ly5VC1atUfXjN+/HiUKlUK+/fvh7q6dAmtRIkS8PDwwKZNmzB06NBc8zkz+RLDTt457dq1K80WGRmJAwcOkJPPpKQk+Pj4wNXVFVpaWrCwsEC/fv0QEhKS4TpHR0e0bNkSx44dQ6VKlaCjowM3NzccO3YMgHSro5ubG/T09FC9enXcvXuX+bxnz56hQYMG0NPTg4WFBYYPH57lracgCFizZg0qVqwIHR0dmJiYoGPHjvDz88twnZeXF8qVK4crV66gdu3a0NXVzdEke+HChQgPD8e8efPIa+SLdaoMz+/cyW89Pb0Mi3Vy5J2+v79/ts/IL3ie514dZ2FhYQEAaR2EKsDzPHfzPCkpCf3798ewYcOyHTQoA57feVvHVRGe57mT53FxcdiwYQM6deqUYbFO1eD5nXd1/N27d7h8+TI6d+6cYdKsbHie506ei8ViiMViGBkZZbAbGhpCLBZDW1s722fkFzzPcyfPr1+/DgBo3rx5BnvLli0BAAcOHMj2GfkBz++c5Xd2fPnyBXfu3EGvXr0yzMVq166NUqVK4dChQ7/8jB8i5CGbN28WAAh37twRevXqJVSvXj3ts7///lvQ09MToqKihLJlywr16tVL+yw1NVVo2rSpoKenJ8yePVs4e/assGHDBqFYsWJCmTJlhLi4uLRrixcvLtjZ2QnlypUTdu3aJZw4cUKoUaOGoKGhIcyYMUPw8PAQDh48KBw6dEgoVaqUYGVlleHv+/TpI2hqagoODg7CvHnzhDNnzgizZs0S1NXVhZYtW2b4PgMHDhQ0NDSEsWPHCqdOnRJ27twpuLq6ClZWVkJQUFDadfXq1RNMTU0Fe3t7YdWqVcLFixeFy5cv/zCtnj17JmhpaQnHjx9Pu0fZsmV/+DfDhg0T8jgLFYLnd97mt5yZM2cKAIRHjx7l6Pq8hOd53uV5cnKyEBcXJ9y/f1/w8PAQSpUqJURHR/84Q/IBnud5k+dTp04VHB0dhZiYGOH9+/cCAGHJkiXZZ0gew/M79/O7Xr16gra2tmBiYiKoqakJTk5OwpQpUzJ8J2XC8zx38/zKlSsCAGHevHnCkCFDBGNjY0FDQ0OoUqWKcOzYsZxnTB7B8zvvx25TpkwRAAjXrl3L9tr8gOd57uf5qFGjBH19feHQoUNCZGSk8P79e6Fbt26CiYmJ8ObNm5xlTB7C8zx383z+/PkCAMHPzy+D/dWrVwIAoVatWtnkSN7C8ztn+S1PJysrK0EsFgsmJiZCu3bthCdPnmS47tSpUwKAtDKRno4dOwo2NjbZZ8ovkG8LdhcvXhQACE+fPhUEQRCqVasm9O3bVxAEIUth2bVrlwBAOHDgQIb73blzRwAgrFmzJs1WvHhxQUdHR/j8+XOa7eHDhwIAwcbGRoiNjU2z+/r6CgCEI0eOpNn69OkjABBWrlyZ4Vnz5s3L0LnevHlTACAsW7Ysw3X+/v6Cjo6OMGHChDRbvXr1BADC+fPnc5ROqampQo0aNYRu3bpluEdBXrDj+U3zs/ktCILw6NEjQUdHR2jXrl2OnpXX8DzPmzwPDAwUAKT91KhRQ/jy5UuOnpXX8DzP/Tx/8OCBoKGhIZw6dUoQBEFlF+x4ftMokt9Tp04V1qxZI1y4cEE4fvy4MHz4cEFdXV2oW7eukJqamqPn5SU8z3M3z+XpYmhoKHh4eAhHjhwRjh07Jnh7ewsikSit3isLnt95O3ZLSUkRihUrJri6uuboOfkBz/Pcz3OJRCLMmDFDEIvFaWM3BwcH4cGDBzl6Vl7D8zx381zu/7Zt2zLYN27cKAAQSpUqlaPn5RU8v3OW3ydPnhSmTp0qHD16VLh8+bKwevVqwc7OTtDT0xMePnyYdt2OHTsEAMLNmzez3GPQoEGCpqZmjp73s+Tb+cp69erB2dkZmzZtwpMnT3Dnzh1yi+KxY8dgbGyMVq1aISUlJe2nYsWKsLa2zqJ2UrFiRRQrVizt/25ubgCk2yLTn1mW21lqiz169Mjw/+7duwMALl68mOaTSCRCz549M/hkbW2NChUqZPHJxMQE9evXz0HKAMuXL8ebN2/wxx9/5Oj6ggDPb5qfze8PHz6gZcuWsLe3x4YNGxT62/yA5zmNonlubm6OO3fu4Nq1a1i/fj3Cw8Ph7e2NwMDAHP19fsHznCaneZ6SkoL+/fujS5cuaNKkSY7urSx4ftMoUsd9fHwwdOhQeHt7o3nz5li1ahUWLlyIK1eu4PDhwzl6Xn7B85wmp3kukUgAAJqamjh58iRatWqFFi1a4NixY7CxscHcuXNz9Lz8gOc3zc+O3U6dOoUvX75gwIABCv1dfsHznEaRPJ83bx6WLl2KWbNm4eLFizh8+DBKly6NRo0a4cGDBzl6Xn7B85wmp3nerFkzlCxZEhMnTsTZs2cRERGBU6dOYcqUKVBTU1OpEFY8v2maNm0KHx8ftGzZEnXr1sWwYcNw9epViEQizJgxI8v1lNhjXotA5ltAJJFIhH79+uHPP/9EQkICSpUqhTp16jCv/fr1KyIiIqCpqcn8PHPgR1NT0wz/l/8dZU9ISMhgV1dXz6IEYm1tDQAICwtL80kQBFIpJnNcEhsbG+Z1mfn06RNmzJiBhQsXQlNTExEREQCkkziJRIKIiAhoaWlBR0cnR/dTFXh+s/nZ/P748SO8vb2hrq6O8+fPZ/muqgDPczY/k+fq6uppccw8PDzQtGlTlChRAgsXLsTKlStz9Nz8gOc5G0Xy/I8//oCfnx/27t2bdp08CHBCQgIiIiJgYGAANTW1HD07L+H5zSY3+vGePXti3LhxuHXrlkqpSPI8Z6NInst9rF27dgZFPl1dXdSrVw++vr45emZ+wPObza/U8Y0bN0JDQwO9e/fO0bPyG57nbBTJ8xcvXmDGjBlYvHgxxo0bl3aPZs2aoUyZMhgzZkza4oMqwPOcjSJ5Ln8B06tXLzRu3BiANPb4/PnzMXfu3AyLWMqG57diODo6wtPTE7du3UqzyX2U+5Se8PDwPJ+X52sE8759+2LGjBn4559/fhis1dzcHGZmZjh16hTz89yWIE5JSUFYWFiGAhMUFATgewaZm5tDJBLh6tWrTNnezLacrrT6+fkhPj4eo0aNwqhRo7J8bmJiglGjRhXI3Xc8v7PyM/n98eNHeHl5QRAEXLp0CXZ2djl6ljLgeZ6V3KjjdnZ2sLW1xevXr3P0zPyE53lWFMnzp0+fIjIyEi4uLlmumz59OqZPn44HDx6gYsWKOXp2XsPzOyu52Y+r0lt5OTzPs6JInpcvX568jyAIKpfnPL+z8rN1PDg4GMeOHUPr1q1haWmZo2cpA57nWVEkzx89egRBEFCtWrUM12hoaKBChQq4fPlyjp6Zn/A8z4qi9bxkyZK4efMmvnz5gvDwcDg7OyMyMhKjRo1C3bp1c/TM/ILnt2Jk7pvLlSsHAHjy5EkWoZEnT56kfZ5X5OuCXbFixTB+/Hi8fPkSffr0Ia9r2bIldu/ejdTUVNSoUSNffNuxYwdGjhyZ9v+dO3cCkG7plPu0cOFCfPnyBZ07d86151asWJH51mX06NGIjIzE5s2bVXqB5kfw/M6Kovn96dMneHl5ITU1FZcuXULx4sVzzZe8gOd5VnKjjr99+xafP39G69atc82v3ILneVYUyfNJkyahb9++Ga4LCgpCt27dMGTIEHTp0gUlS5bMNd9+FZ7fWcmNOr5161YAQM2aNXPNr9yC53lWFMlzGxsb1KpVC9evX0dUVFSaSmhcXBwuX76scnnO8zsrP1vH//33XyQnJ6vscVg5PM+zokie29raAgBu3bqFevXqpV2bmJiI+/fvq+Q8jud5Vn62nhcrVixtR920adOgp6encnWe53fOef/+Pa5fv46GDRum2YoVK4bq1atj+/btGDduXNqpl1u3buHVq1cYPXp0nvqUrwt2gFQmOTu6du2KHTt2oHnz5hg1ahSqV68ODQ0NfP78GRcvXkSbNm1y9ciIpqYmli1bhpiYGFSrVg03btyAj48PmjVrBk9PTwDSY2mDBg1Cv379cPfuXdStWxd6enoIDAzEtWvX4O7ujqFDhyr8bGNj47QCmdmekpKS5bOPHz/izp07AKQy8QCwf/9+ANItnPJjdKoCz++MKJLfwcHBaXHLNm7ciODgYAQHB6d9bmdnp5KDAJ7nGVEkzx8/fozff/8dHTt2hJOTE8RiMZ48eYIVK1bAzMwsw1ELVYLneUYUyXNXV1e4urpmuO7Dhw8AAGdnZ+Z9lA3P74wokt9Xr17FvHnz0K5dOzg5OSEhIQEnT57EunXrUL9+fbRq1epnkyBP4XmeEUXHbkuXLoW3tzeaNGmCiRMnQiQSYdmyZQgNDVWpGHZyeH5nRNH8lrNx40bY29urfHxSgOd5ZhTJc09PT1SrVg2zZs1CXFwc6tati8jISKxatQrv37/Htm3bfjYJ8hSe5xlRtJ4vXrwY1tbWcHBwwNevX7F37174+vpi27ZtKnUkVg7P76w0bNgQdevWRfny5WFoaIgnT55g8eLFEIlEWfrmRYsWoVGjRujUqRP+97//ITg4GJMmTUK5cuXQr1+/X06LH5HvC3Y5QU1NDUeOHMHKlSuxbds2LFiwAOrq6rCzs0O9evXg7u6eq8/T0NDAsWPHMHLkSPj4+EBHRwcDBw7EkiVLMly3du1a1KxZE2vXrsWaNWsgkUhga2sLDw8PVK9ePVd9orh48WKWQtGpUycAQJ8+fbBly5Z88SM34fnN5vnz5/Dz8wMgjW+UmZkzZ2LWrFl57kdewPOcjZWVFWxtbbFs2TIEBgYiJSUFdnZ2aNmyJaZMmQJ7e/s89yGv4HletOD5zcbGxgZqamqYO3cuQkNDIRKJ4OLigjlz5mDs2LEqdzxSEXie09SuXRvnz5/HtGnT0gJs16xZE5cuXUKtWrXyxYfchuf3j7lx4wZevnyJGTNmFOh6nR6e52zEYjHOnj2LJUuWYN++fVi6dCn09fVRpkwZnDhxAs2aNctzH/IKnuc0CQkJmDNnDj5//gwdHZ20Np2KD1cQKGr57e7ujj179mDp0qWIj4+HpaUl6tevj+nTp6NUqVIZrvXy8sKJEycwY8YMtGrVCrq6umjZsiWWLFnCPKqbm4gEQRDy9AkcDofD4XA4HA6Hw+FwOBwOJ8cUjlc+HA6Hw+FwOBwOh8PhcDgcTiGBL9hxOBwOh8PhcDgcDofD4XA4KgRfsONwOBwOh8PhcDgcDofD4XBUCL5gx+FwOBwOh8PhcDgcDofD4agQfMGOw+FwOBwOh8PhcDgcDofDUSH4gh2Hw+FwOBwOh8PhcDgcDoejQqjn9MKEhAQkJSXlpS8cJaGpqQltbe0sdp7nhROe30UPnudFC57fRQ+e50UPnudFC57fRQ+e50ULnt9FDyrPsyDkgPj4eMHMzFoAwH8K4Y+1tbUQHx+fJc8tLXmeF8YfKr+trayU7hv/yd88NzXldbww/pB13Jrnd2H94Xle9H54X160fngdL3o/fH5WtH54m170flh5ziJHO+ySkpIQFhYEX19/6OkZwtKSfV1QENseFsa2V6nCtuvosO3BwWy7nV1W24cP7GsPHcr5PQCgaVO23dIgnmkXtNnOi1KSmfagMA2m/ds39nMNDNh2Gxu2XS2MSDQ9PQBAVHQ07EuXRlJSUoYV3qSkJAQHB+HhQ38YGBgybyEmDlR/+cK2P3/OtkdGsu3jx7Ptmzax7QsWsO1+fmz7+vVsu6Ym2+7oyLabmbHtCQlsO/V9WfeJZxcz8h6ybM2CvE7FxEShTh17Zn4Hff0K/ydPYEgVMgBQJ5qMxES2nSokcXFse3Q00xzr4Ma0//sv+za2tmx7/fpZbVQaU1+VSh6qnaOg7q+mxrbr6rLt1Es3eTmOiopCyZLsPA8PD8KePf7Q1TVEtWo5dDwbYmOz2qjspooHVZyoOkXlybNnbLu7O9tO1WWqjKSksO1aWrlzH8ofHTEjgSQSANL8ti9Vil3Hg4Lg/+kTDA0NgZgY9s2JN33JYPdVGmD3bQEh7OtNTNiPZZUbAHB2Ztsp7t9n26k8odp7Swshiy1VImJeS/XXsizJAlXuQ0IUu17+nWJiouDhQbTrQUHw8/OX5rmCaIhTmfZUsBspqhxTY4IDB7LaHj1iX+vhwbZT5cnJSTE7VR1S2UlAflfKTvlpa0Y0dlSiyRyKiomBvZcX3Zc/eybty1mFh3JSyFrmAdCDcqITS5Sw6z7VflOsW8e2U3lYsSLbTo3dAgPZdqreUuMuVhtC5TeV9NTYTe5LdHQU3N3pOu7v5wdDQ0OkihVLe6qvpfwXfQtnfxAVxbZTifn5M9tODaSMjLLaiIKQaOPIvgcB1QdQ8zbyO1GZS4xryUzR1wcgm59VrEjOz+7elc7PrKzYt4mIYNupcQirmlPjTi2wC054LLujffyYfR9WHwAAZcuy7eXLs+21ayjYUBNtlyBm923UOJvqm6nxvSgsNKtRlvA/mo8Hff0K/1evpG06Vf6oXVpUOaPuQ9mpgkMsQLzzY4+XqKaikhPRwAYEsN1xZM8LqbEkC6pro/KbqspUfrOaLSBju+7mlrVdZz7jh59mQk/PEHp6huTkiPoiVB5T96EaCGrSxxqHytq7LFCDdirTKB8NDdmdoqILdrFJ7PskE/0E7Q/brpZEJD6VQFmeZ6jwgh11a0UXHCio+1ALHSJ2m0Heh+q8qe9F5YkGO2vJCQDrPtR3ovogRdM+M4YGBj+e2FGtEtUhUIWE+mLEhEGN8Ilq36jvy7oN9ZUoO5U8ipZjRZ/7swt22aGrK23Xf2I+z4SV5VR2U8WDqjuKLqJSaaZoO0o9l6qHVLlU9D6UPz9asMsOQ0NDaR2nEj+XFuyiE9jXU9+JckdRqDaQyhOqnhga5nzBjso/RRfsqLGSglmVhbQ8V5DcWrCjBugs/6m6T31XauxGLYBQdZ8aJyi6MEfZ6TaHWDGhEo16QOb7yvtyRRbsqAJLNaQKLtjltE+So2j/TtV9quhTi7RUMlBjN9b3ovJb0bFbDpv1tDpOLdhRaU8N3ag0IxexqMVe6gtQFZRqBFnXE4mcqGBbl+cLdhRUY6fg/Iz6upSbiowxFV2wSxazJ9lUdlNpr2i7bmhYQBbskhjplsMJWlqbruiCHZXIii7YKTgp0tdnd6rU7VljLgBkX6hBPFeRsWRurUsoOl/Mabue4RmKXFy6tPTh4cQLFmtrtp364tSOOeoLmpuz7TqaWSuqnR270k2YwL6HXhL7FXmYhP2a6cUHdmtC+a6pyW6YbazZBdTYmF3QFV1A1zRnv3pRgyzNsimV5gaJ0gElo8KHhLJ9pPKJ2sVI7djcv59tpyqYjw/b3rEj237iBNu+eDHbTu3apHaWPn3Ktpcqxbaz8lDRdTAK+fXZ/p22tvRH0YacKpiK9nLEQEUv3J9pb9nSXqHbs+rn3r3sazs1ZLcJgjq7TVC0waaup5KYmjxridl/EBknbXOy29VQrpx03KvoLjhqPsmqz9S9qe9KtSHU2MvClJ02xSWf2H9gyd6C6R/MHmyGMl6K/sgfagcIBTVxpNo6HcOsmZKqLvU9VZOYZMhJSpL+UHWW+FIa2uwCm0pMzouZswf0kQnsNCZeopI7s8eMYds7d2bbqTfzrVuz7Z6eWfs3qhxTfRiVfyIJu7xqarLHLdnVYWohQY5GSjw0UjQUb3SoBUfCT+o2n4hqyMrz2rXZ11J1jep/y5Vj2y2IBbKoKHa5NDVl34eaA1FlxMqSmowouGIiT7TsCoWmpvSH1YAr+OaAehFNuUD1DdSOH2pO4eXFtt+4wbbv3Mm2r1nDtlPDEyoPqTkOy3/qO1HlyUj3xy/1s13sVFcH1NWhRiwy6eqy22k9baLxiCMyl0ocqkxRnRu1KEUNOF6/zmIKLNeIealNFLFV2diYaU4kNk5oqbN9oRZF1ahJLVUhqO8qTzMq7WRYWwnSRQ6i4TU2ZrfTVNPCcpOqI1r67AJpZsgufw1qsm/Uuzd7BW7KFPZzqb728jX2dy1fnm2nkt5Ik71grEWMl+IT2PNgqjqEwCKLzUI7Z/NxiMXff1hQnaSiq/WKTjyJybGxcQmm3aUkuy+8foO9Hc3Ojm1PIcaMrDEB1XZTcw09XbaPJrqKreQlgj2u0FKX5rmQks3gLR1cJZbD4XA4HA6Hw+FwOBwOh8NRIfiCHYfD4XA4HA6Hw+FwOBwOh6NC8AU7DofD4XA4HA6Hw+FwOBwOR4XgC3YcDofD4XA4HA6Hw+FwOByOCsEX7DgcDofD4XA4HA6Hw+FwOBwVQiGV2NhYqUiIogKSDg6KOUUJmlCKa9FxWVVgKLEUI31CkUPXmGk2+8xWpzSzZcvsCIZsNRNKJIiSODt314Zpp5TuKAUUtYgw9gdyCZtsVIjSFGkY6jWammz1E0Vl66l8ffuWbaeEdCjlMApK7OrgQbadUn5s2lSx51L8809WW9Wq7GsJsStSje/uXem/2QnLpUGpAVF2qvIreh8F1Y+c9b+yrycK1ePHBllsVFre82OrwZLqg2J2Xbt534xpr1WRrUalRsjLCbbFmPZPn9kqWPI2J7sqrqcnrZuUEipVD6n6cOtWVhulmEXZqTyhikdYBDsN4tTZKlXjerPvU78+207V8eITurA/IKRH96j3UORyUlUxOiGrSh3VjmYhO6UxBRUk1YjrBaJ/ILRp4ejItj9+zLYr2u4+fMi2U/0AS0W8f3/2tcLbd2y7kzPTHhj84zqbGUrJTF5PslOQFLR1IGjrkH2zmMjyNDX5TIgIJcokQm2RUohv2DCrTd5XZYZSaafGRNQzn71ll0uq/On9uYD9Qd++TPMlYuzWvDlbTVCNUmumGm65o+SgUoa8jlOZzoIoSNQtFO32qTaKGr9SUM8dN45tp5SEnS2j2R8Q0tRh6jWYdpbaMaUGS6UNpTyqJ46Xfc4eL6QhV/8mECUQf08lpqKKk9SzqftT96HkdRmd84UL7EsDArIqcf7okZRqauPG7Ha62Keb7D8gBoeJlvZMu1bAe/Z95AUqNpb9eQ4h2+kUdlljpY8eoTovgH2PBOLez1+y7dS8jcoTao5Tr/w39gfExHPyDLY/C/p/Ztq/mbsw7SbqRBsSx67oFuGM+8fJ+oBo4l6ZUXQepihUn6Tg9frUbQg15XLlrJj25cvZt6HKCGusMGsW+1qquTFLICRobW3ZdqK/1pJkM+nOboKWDr7DjsPhcDgcDofD4XA4HA6Hw1Eh+IIdh8PhcDgcDofD4XA4HA6Ho0LwBTsOh8PhcDgcDofD4XA4HA5HheALdhwOh8PhcDgcDofD4XA4HI4KwRfsOBwOh8PhcDgcDofD4XA4HBVCIZXYsDAgMZEU+CCVzChlKEqVkFJhpK63tMxqowSL/APYqj/22iHsP6CcJ1RRRDFslZeUlKzqlADwRcJWFKMUporbESq3lATelStsu1zKMZmtAJSGRCL9YajSGGmyVaf09XWYdhvTRKb9fQBbtY1KA6qcUcI5lAIZJahDCeRQZWrLFrad8pNSfmWJvlEKeFSxpBRvcow8v3/0OQtKflZReTlKspG6D3U9ITPqbps1E1ON2SqulDrqyJFs+4cP7PtQSkZ167LrSf36bDVYQyLJpk1j2+UKjPHZiMsFBkqFiig/KXVnqslh1R+q7lAK4tT1n9kCXuT1lOIkIQKIY8fYdqp4O/Xcw7SXKsW+vovkBfuDC35Msw4lida9e1abujEAgN3DpSMlRfqjqMSjgsQRiqFUlaXsVD2kVD3LlGHbWYqkAN2W/vlnVtuZM+xrE+3YarC7/2Vfv307206pBbdty7bLy3124nIiSSpEklRQpUMthd03U7KKIeHs+1BtgiJjRkrJsWRJtp1SlKbKDdW/U21C1UmT2R8QtGpOjNGogQL1BSiH5F/sB4qgAH7clyuoJqihLrDtErYPuubsMR3VjVPlo5gle3zq6cluWyjBPRsxW00+WZutShhVkq0GS6nNNqib1U+WkjcAGKizO+T4JPZ4QOf+fekv2SmGyvObyltK/TuXygjZSVLllOpnqIad4X+P1uyGLxrs+RbVPt2+zbZfu8a2v31bi2n3IpKMUntvceUf9gfy75pItMty5H05lZaEXUdM3ZfxBdTZDSY1FqPab2o+p6i4MCl6TX1AtKML2hMPDmAPREyoBQhKjnzdOradNbCQJ4LAbmfTyE75myoHVN2kEpnKFKoNISYJOupEX0hMjkM/sC+nBNGpcTZrrDdpEvvaKVPYdjN9dkGOjGKrvRtducS+EdG/B5asAwCIjmffjwXfYcfhcDgcDofD4XA4HA6Hw+GoEHzBjsPhcDgcDofD4XA4HA6Hw1Eh+IIdh8PhcDgcDofD4XA4HA6Ho0LwBTsOh8PhcDgcDofD4XA4HA5HheALdhwOh8PhcDgcDofD4XA4HI4KoZBKrJ6eVAxEQeFUUk3m8WO2nVJ6ql2bbddiKJFoGbOvNSPsCCJUUSiJRIJYMVudiBJXoVQ9K1cmHkDJDVFqL5Ts4YULxAMykZSUvRpZJtRiCMVdooCUcGSrsZRwZN/m5Cm2qsqHD+zrKSUZCqp8U4qtlIINpYAZEJBzXyihOLnIb2aorOpjehQAEBUXB6OuP3hgdgqS1AMoO1WZFVUgU1QllpI8ZdxHLSKMeal3XWOmXSxmKyRSeUKpY1FiaJQw6JgxbDulfilvX7MTGrOykiYXpapItVGUn6wsadqUfS1V1xRscsj2lUpjKk+odpcqZj4+bDvVF06a5Ma0lyvPttvX/sa+EYPICKnCWFRUFOBglP0fUHWKknlTUOJR3bo4066o6itld3Ji2ynRNrVQtlJkqjlbKXLFDEbaEwUtLIbd71N1819CPbZjR7bdJuYN+wOZfKxeKqHGJkfWrmsQ9eRrOFvVkxq7+bFFjWFpybZTyr0sEXvqWqodooor1QW8fs22163LtlPKwE0aEmlOqQlSEsCUeizlqDxTSLlEGXLF0OyuS4d/MLsc2FsqpiIsCmf3qRJ9tpI66SKhekgNK6ixlaUlu46nRLCvtwh+xnbHtizTzlKENdBkp1lkAlsN1ij0HdsZeWeYXacoH6tTYyuqE6MUJCk7BZUpiipUUkqXrAE10SgY2LLnbfr67LnDkCHsR+qF+zPtgXXtmXZF1WYdei9i2t3DL0t/iY0Fli1j/zGQVseTwVYk1khhKxJTZSkkKeu4gZoBU2Ou/fvZdkIYVJGhOgDA2pptTzS0YNq1qMEeVS6p9psa8FKTNKoxYk1I5V8qORk4fZr9d8D3Ok4lDlWnqO9K3YcawFKdMDUJpgYExHNTUtjjVqr+PH2a88fWr8++lpqDXH7OLk/U+NKIGuwdOcI02+wcCgDQU2Cyw3fYcTgcDofD4XA4HA6Hw+FwOCoEX7DjcDgcDofD4XA4HA6Hw+FwVAi+YMfhcDgcDofD4XA4HA6Hw+GoEHzBjsPhcDgcDofD4XA4HA6Hw1EhFBKdCA6WxsCkgulTcQ2pIH1UDEcqKLWnJ+EYK+ChsTHz0nd+7KCjznZEREwqICARcTOKiMlIaUVQcYWpx9rZsYP2WlUlAmtSkerlCh6JicCSJexrAGkQTCrIJZXhVABKKrojpRZha8s0V6/OTgPKHSImOpn21auz7RQutrFMe7JYj2mngqbqaGYNYv0tii1w0K0+O4A6GbDXtLn0Xypv5CQmShNSUZEHKlArFYiYuj8VyZa6D1FGqGDYAiP4NFVudIIDmXZdXRumnYr3unMn296VEP8oWZJtp2KWUwHg5aIT2cWjf/RIKihENJkklB4Pq+2iqjgl5PLyJdtOBZin+hiq2LRsybbPmsW2U9WqalW2nRJEWLeObXd1ZdtLljRh2lmB+Wup3wEAiKgvLSc+XlrPFK3jCtZB6jZUFaeaJqq9pOqbWgA7UDgVSFnt03umPdG2RBab1uM7bF8cqzHtVJJNm8a2//EH2963rwvT7rZpk/SX2FigQQP2HwPSAiwW440fuz+hoAQXKKgxHSUkwQoETZUbqo5TQcspFBWjKFeObf8SxE7LYtbEWJIqDNTAlmpg5ZHtcyhCIBhnbUNEcewxCxUYXtFg5iES9hjtLqF1Rn2VhAR2GlP9AzU3ofKW6n9gzFYq+0TEl2f1D+GEkAs1ZInTd2babYxlDSPVcMqRj90UDTxPjd1yK4A91bBThY1qAFiDCKqjJYQAKtkRQfCDCB8JX2xS2GnWpq4j0167NrsfJ9suP5mf2fTlidBCIrSgRYhLhMSwBU4siKYlPCirbcMG9rWUSM/evWy7lxfbThUPah5GFVdK9M3Tk92GqFHlm7JXrMi2U50e9YVZZVbeplMDTTnysZuiwjKUnaqDVB2nyiNVkImFj2+6xZh2RTUNKTEKlvvUuhKVlJRIBS2Wyq5rFSglO/nkIToakI/jsoHvsONwOBwOh8PhcDgcDofD4XBUCL5gx+FwOBwOh8PhcDgcDofD4agQfMGOw+FwOBwOh8PhcDgcDofDUSH4gh2Hw+FwOBwOh8PhcDgcDoejQvAFOw6Hw+FwOBwOh8PhcDgcDkeFUEgl9vVrQEcHCGIoyQC0wMnnz2x7zZpsOyW6Mn8+2z58eFYFHmNC5IQQikN0ElvR6cMHtp1S9aPUTOQiMJmhFHUmTGDbnz5l2+8msNVvWzRtyv4DuQJZbOyPVWLj4gA1QlmOUjGj1KIoeR9K/YqQYzEjlG3Kl3dn2ikBFspNSk2mU9tk9gd+7AKuQcjPaFBSZgFZJYZNKDk0qiBTlUoum0Op/6S/TkODvi6ckEEOCPjxfSl/MkOVKULCNNChBtNu8/Iy0y5iKBUnpBgwr9Uhvmu1JLYsa7nRHkz7lClMM6nASCXx/ftsO5WU+/ez7ZkpXfrHSotUPaEEo1hKrlSRpxSXKOWmc+fYdkqIiboPVccphV5KjI4q9qXYIoOYNIltp8oIpVDJ6mtfGUqVSmPE2ShBy+s4BZWxlJwbUQBNCFVwOzu2GiIlZOZsGc20hySw6y3CiRtRmUX4r8VyiChoFkFfmHZjJ7YaGiWYTqkXU0rnbiVl0qnR7DSSI6hrQFDXIJtXSsX5n3/Ydqr72bKFba9VJpL9AWvARLT1kXHsMmuknci0BxIqnWVLsq+nBm+P/NjljErLWELZVFvfiP0H1WsxzWqmpuzr5Y1pXBwtQQ5Ix3ZiMUSs70V8Vx1tou6Q6vNsHy3AVq2sXZutpEeVv7t32XaqKaJUA6n2mOoH7OzYZY2a+7CaBcrHEyfYdkqxNiKiEgAgPj6bdl2mCkw2pIRiIzlBo2TjqQka1SgoMlAA6MECK/GpZ1LlVVGlXKrgUIMxwneL0Bfs602J+8ulhKlCJENLPRVa6qmAhD2HsjAXmPbrN9j1cM6crDYq+6jxpR97eEyOZai+jVIWp+be1H3UkMq0J2uz2/Vbn9n2moRKuQY1QKYcZQ0yW7eW/hsTA5w8yf474PvYjVpooMox5SPVJlBzcqrOUm0O1YcRUNWqe3e2nRpPs6DWYKgm5OFDtr1jR7adUv/+GOfCtK9ZI/03MTGbdj0dfIcdh8PhcDgcDofD4XA4HA6Ho0LwBTsOh8PhcDgcDofD4XA4HA5HheALdhwOh8PhcDgcDofD4XA4HI4KwRfsOBwOh8PhcDgcDofD4XA4HBWCL9hxOBwOh8PhcDgcDofD4XA4KoRCKrFhYVJFDUoxj1IwpdRhKAFMStDkyBG2naWuRKk/UeInjo45vzdACyURAqZkGly4wLYvX862+/iw7XaEgg2ZmNbW0n8pCSA58fFSlViGOkwYzJh/YuZEKMNQiUxJhFG+EWp/ztXZiTBvFlvObZ8vWwmsf3/2Y7W12df/3t2Y/QeUUhX1fVmFk5K/JO4dGMr2MSFBao+OZismpfHtG5CcTKv+UHaqnFGqXJQ0D6WKRZQdqogk1qzHtGvdyqoea0KpoVEQyko6pw4x7QkJ7Zh2jSB/pv3pa3umnRJze/2abb9yRfpvbCzQrBn7GkCa3UlJdBZSbV3Fimw7q4hQPlKqe4oWM6rYUIplvr5se9++bDul6EspQ1F5Ral/P3/OtlMiXqwiKxeIptJOzo0PttDTM0QdR3b5I6V1qfaMqoREZlk6si+nFCGdTdn3sTixlf0HVGco7/Nyame1XVTGErKvVP5RinbU+IFKm9iqUhXa2GyUgSMipNlKichR4m8LF7LtlGobVd9q1SRkqFl/QCSOEVUuiT7GuFw1pj0yga0ea2jItlPdA9XmUGO6unXZdooE49JMu1V5WVnLRhk4TTWUVQiJhitelz2m04n6yn4GJfNNSDwaxYUx7RWM2W1IqfbFmXaqnd67l22noPKEGmdTwzFWE0KpCFOK7FTdt7SU/hsdDYwfz74GgHSClphIj7koZUmqXlGdM3U91dhRnSSVEFTFYo0ZCRXKRG22IjM1fnj8mT3mqqVO1DFK/ZLqH+SZmIkXr9mK0m4OsrkANWGV8/WrtMMn+p9UQxOmnerKWXZKrZUSXaeUPuWqmJmRC6RmhpomUX1Y1aps+/Vb7DSm5uSUuOu5c2x7My9C6ZcqC4zxkr+xOwAgWi0bxdCQEOmcnOqwqbpJ1X0KBedhkXZlmXajKPYYM0WbXS6pNlM+ts1M06Zs+6lTbDuLGzfYdkogmir3VNI3qJvMtI8ZI5+TAytX/sjD7/AddhwOh8PhcDgcDofD4XA4HI4KodCC3cuXJzB3rgV2716cV/5wVIypK1bAvGZNvPcndmNwChX/PX0KlzZt0Id6xcwpdGzfvh5OTvq4cuWssl3h5AN+fk8wenQDVGvZEinUlgNOoeL06aNwdjbD9u05fJXLKfCMX7gQ1jVr4jO1U4pTqLjx6BGcWrXC4EWLlO0KJ59Ys3Ur9EuVwhVqmxCnUPH47Vt4DhwIz759IaG2dHEKLQodid29uxsAwN//VZ44w1E9Vu/YAQAIDgtDCXv2tnFO4aHx//4HgG+9LUrMnj0OABAQwBfliwLDhnmm/R6fkAAD6hwCp9AweHBPAIC/PxErhFPoWLdnDwAgNCICdtSxb06hodmIEQCAu7w9LzJMlsUs+Eyd0+MUKuoMGpT2e1JyMrS12GEcOIUTheflpqZOGDNmXV74wlFRdi5dihpUwCpOoeT2+vXKdoGTj/Tt+z907UoEb+QUKkqUkMYbeXnxIl+sK0K4uZXDpEl/KtsNTj5y6O+/UZEKysQplFz+6y9lu8DJR8YPGYLuHTsq2w1OPuBUTBqz9t2xY3yxrgii0IKdhoYuBg26CDU1dhBHTsHjUzZvZto2bIhuLVvmkzecvCYhIZuI9ADO//MPjPhEvtAQEvLlh587O5fGnDkr8skbTl6TmvrjY67v3z/DsGHLUNrZOZ884uQ14eHhP/xcX98ABw6cgUgkyiePOHmJIAjZjt26tGiBto0a5ZNHnLwmNjY222uubdoEfUKAgFPwyG7nXHk3N8yfNCmfvOHkNcnJbIECOX5fvmDNhAlwIlUmOQWN8HC2EBMLhY7E+vhsh7e3A6lmlF7JIzU1FZGRkTA0NMTly+EwMjKHOJMEDbUmQKnMVK/OtrPUPLp0FpjXXrzEHrBSCjCUWAoh+kOKB1F9KHV9z55sO6UmGBQExMRE4N9/Z6JPnznQ05OqJJUsmXUVPikpCaWtrVG/VStcvHqVfUMZy+fOBQwNIVjbZPksPNPpmvj4OKSmpkIiEUEikcAwkwqUTijR+VAFipIJohKBUsIhVLM6eXoy7dWfZv2uAK2+GKltxbQb+T1g/wElmVmyZFYbobAVDQMAwKlTxxEUFIC+fQcCAGwkWRdnJBIJUo30kJCQAKcaxdjPlvHXsGGo7+hIyxhmUif6FhMDPS0tRPr7w0RXF+qZF/MVVPYjKxyRty62RJkKNWbbWWWHUrmkVI0VVMTVOrKPfT2hlNvA+APb3lUdgiBg4po1GNi6NVxkR9SfGdbKcm1ycjLCw9Vx6NAqrF49iv18GevXb4ehoSaZDOmzMDk5CYmJcdDS0oGTUwwAUwAZ29Thw7PeQ3bSOgvtmicy7Xt82W8PqRfJlOoZ1a43bsy2X7rEtlNKkVQ/0Lw5204VKWpc7ucHfP78GPfvH0Dr1rPT7CwV9NDQJKipaaBPH7bSoxxz8+m4dGkkzrdjd/+Z27m4uCioqWmggdE16GhpZX2zq2CdVQsOZNptbdntLtmuUzJvlHIlJWNPScE7OWW1EX1VZIoe065ONH/Upqd1ssMLly//gWLFKqJkSS8AbKVmiSQVHToADx7ch6cnMTiSsWv7NriVssQr4kRs+jFU+rHbihXfoK1tBpEoYwWjVJapeuj/mT3usmdVCKrSUvKARGXTQTzbHhfBtB84xy5/lFAjNXajxqknTrDt5csD376FYu1aH4wc6QNdXenAmCUymJychBIl7NGxYyW8fPmQfUMZi/r3l/bjrD44Uz8eFx8vjYmkHwZBEHK+85bqCylZY6qtIMYJOoR91qwSTLuiKt+UvW1btl2uvJ4ZVvtNiaPK59pnz/oiOjoS7dv3yWBPj0QigcbrJ4iOjUV5Dw/2DWWsGzUKHnZ29Ngt3SREEARExMRAX0cHERERMNHTy/nYjRqvU5Ocly/ZdkrpkrhPcu16WWxUU0H1y5TyI2UPjDFg3798JaZdze8N+0YpKRAEAeN8fDC8Tx+UcHAAALg5Zm2jkpOTIUTHYd4ff2B6NvEIt8ycCfWICHIMq5ZujJmYmIj4+Hjo6OhAX18CY+OsDRhrCkIMU8lspaBEganiuno12/7bb2w71eRQY72HD9l26t0XVaZIkpJw79kznLx2DdMGD/5uZySo1ZmN0FBTg0O/fj+85ey+fTGoUSNagTZTux0VGwtNdXXEBQRAT1sbWhoaWXxkQk0GiMQxogbORKZbEAPhDk3ZMtxhCezxFaUwzJpiUwr2VBdGHSqkxvYmMkXpJStXwqNmTdSuUQMAIKhnbUNSUlIQFSXBvXvX0a1bzuXjFdphV61agxxfO3LkUNjZmcHQUAOtWlmhbl01+PkRA2ZOrhAQ8Ba+vn+iXTtjBAZKS2dIyNcM13z9GgBXVy0cPXky28U6ADCjRqWZiImJRoUKeqhc2RCWlgawtjZC06bein8JjkL873/9MHLkILRu3RCCIEgXar59y3DN77NmQdPMDKfPn8/2fj3r18/xs9ccPw7Trl2h1a4dLMePh8awYTj0gFik5OQKEokES3bsQKkuXXDmv/8AABERYVnezFWqpIkNG6Zku1gHACVLEqNVBn37WqFnTxN06qQNwBzSLiT7XZucn+fatQ04dmwOhgxRR2JiHARBQGxsxnb95cu96N9fCwEB2Y+iLSzGQSTK2bu6Z8+uomtXI3TqpAvTxo2hU68e5m/Z8jNfg6MAhw//jjVrvHHhglTgKykpGsnJGXfYbNtWFo0aeWHChDHZ3q9u3ZwPCgcM6ANbWzPo62tgxw5LbNyohshI4iUTJ1d48+YJtm9fierVDRAYKI0l+u1bxjoeFPQerVpp4dat89ku1gGACTVDzkTot2/Qq1QJBlWqwKB0aRi6uqLtgAEKfweOYowY0QkTJvTF4MFtAEgXVL5lGrv973+DoFGxIg6czV4QqouXV46fvfzAAZh26ADN5s1hOWgQNHr0wAk+dstTEhMTsXz9ejh5euKKbOwWGhqaQfhJEARoGhnBZ8WKbBfrAMBZgZ1W2iYmMLG1hbaJCcqXN4ODgwhJ1IINJ1dYuX07pq9aBeNatZCQmAhBEBAclnFH1VZfX2j99hue5yAO4egOHXJ8wvHs3bswatECOk2awKxfP2h364ZlR4781Pfg5JwJ06fDo1EjrF67FgAQFRWFuExvwZ2cSqB//2aYPn2IQvfOs9jyxYs7Zvi/qakVTE154Nu8xMWlCsRiaWUePbo2goM/oUYNa/z+e0+MHNkVHTvWTrt20uzZ1G1+Co3MK/cAmjXjR2nzmtOnpYuuly6dx8uXzzFk0iSYubvj2u3bENnZ4eCJEzh37RoA4BP1VuYnKcMQISltxd5tyMkd1NTU0F32yrDJ779DIpHA09McTZuWwKZNS1C5sjZSU1MBALt2LczVZwuCADOzzDs02wMg3pRzcoW2becBkO6ounDhT9y8uRV//WWNFy9246+/bHDlyhRERn4EANy4sT1Xn21pWTyLrZqbW64+g5OVrl03AQCOHZsIQRCwZUsp/PWXPvz8juKPP0SIjvbHt2+vcOPGNejo6OTqs4sVy1jH9fWLQ1vbIlefwclItWpeab8PGtQI79+/Qrdu1vjzzyGYObM1Jk1qCIlE2q6vXj0jV5+ty9jx0aRe1t1MnNzF1/ceAOD8+SP4+PEdBgzoDRsbU1y7dhXa2iKcPn0Sp09Lt2WGUzsTf5KyxbO26yX52C1P0dbWRgvZC/F6nTohOTkZFg4OKFulCubMnw9jGxsIgvRk2IzFi3P12RKJBI6Z8rxdu55Qp7YPc3KFPydPBgBERkdji68v1uzeDas6dXDkwgUYVa8On3/+wav37wEAB6ktgj+Jk03WHeNVWKcGOLnKqiVLAAAjxo8HANjb20FfXw8HDhyAWCxCcHAwPn/+jGvXzkBbW7GxW54s2N24cQ2zZk1FvXreqF5dek62Tp22MDYmtlJzcoXExHgYGkqPQ7VtOxIPH14AABw+vAPHju3B/fs3oaEhnVw/V3Q/czZMmzZI9u/3oNb16/P4KXnNu3ffzzjZ2trhgkzevU779gCApWvXwruW9Mjk2ClTcu25geHh8J4yBfYWFhjdRvqGuIS5OcpQ50A4uYJEIkG07G2Nd+XKeCw7G/n16xcsXz4BSUmJePv2WZ48++jRP/Dp0zN07Ji+HLWFgpEVOAoSFfV9p03p0l54/Vp6LuvMmSGIjQ3CrVsLYGkpPdZ59Oj8XHtuamoKxo2Tbuvv339Zmt27SpVcewaHTWjou7Tfk5MTEBcXBAA4ckR6BsTf/0La5+fPZ7/7JqdcuHAey5YtRpMmzVC2rPTIsaNjB2hpmeTaMzhZiY+PhY6O9NhP585D8d9/0vw9cWIt/vvvKB4+PA9NTeng/uHDG7n67F4TJgAA/pw6Nc3WkAgXwsk93r//vmvVwsIaZ8+eBgA0bCjdDfvPP3+hbl3pKZWJy5fn2nM/BQej2dSpcLa1xeAWLQAAFR0dUYqP3fKU1NRUJMp2tLVq2BB3ZaEbXr95g5k+PoiMjMTbd+9+dIufZuHSpfjw8SNmT5uWZmvcuE2WMFWc3CUgJCTt95oVKuCKbFGu58SJiIqJwfQ//0RVWWiPGYcO5dpzE5OSUHXwYGioq2PxkO+7uOqWKZNrz+Cw+SCLXyIWixEVFYXoaOlR2U6dpPF8rqSLq/D06T2F7p0ntfXRI+nWai0tbTRq1BQAcPv2GXh6iuDpKUJcXHRePLZIIggCQkM/4dy5bRgxojoiIqQBATZvnop//52Z5XpPT4e03/du2YKT+/fnih/PnkkLXrFi39/i1KpVCbq6IowZMyJXnsGRkpycjHv37mDOnGno1atDmr1CBWd88PfPcO3Ne/fwz3bprhsNDQ08v3MnV3x4JdutF5uQgBqyACDB0dEQDRkC0ZAhuM8KusT5aUIjInDk6lU0GjUKR2U7Ji/ev48OjEXYHj2+BxPt128uNmwgYnopyNu30sGGlpYuypXzklnHQRrDjg8EchOJRIIPH57h7NkVWLTo+87ohQtr4fHjowCAxMTINPuhQ+3Sfp86NftQBzkhMjIE375JF4pKlvy+SKfh6QlRzZrYcepUrjyHIyUmJgZv3lzAzp19cO7cvDT7ihVZF0jPnOmb9nuDBo3w6tX7XPHhwQNpP66rq4umTaXBWj5+9MWGDSJs2CBCSgoRe5SjMIIgICTkA3x9t6BLl6qIj5ceeV60aDQ2bFiQ5foBA1zSfl+16jBWrTqcKz48lL28LZUurlCpunUhsrPDxHnziL/k/AxJSUl4+PA/LF48CWPGdE+zN2pUCpGRkRmuPXnyOPbs2QkAMNTXx6tjx3LFh+cfpbuxE5KSUFs2gf8UGgpR164Qde2K57l8EqOoExwWhkOnTqF+165pp12OnjuHHiNHZrm2YrpA8IunT8d9KkifgtyVBYbX09NDNdkLt8mTB8PBQYTWrWvkyjM4UiQSCZ48fYqlmzejTu/eafZKHTvihCwMVXQ6AZkeshcmAHAz3YLqrxAUHo6ImBgkp6Sgssv3fkOtc2eIOnbE/ps3c+U5HCnR0dE4d/Eiuvfvj2WrVgGQloPq3lnDgvXs2SPt90aN2uLixZyP3fJka8TQoSOQkJCAqVMnoFs3qXpCYKDUKXd3D+jocAXKXyU2NgJ79kzF3buHER4uFRooX74eeveenbZQFxyccdGkVKlyqFChOlq27ALvKsVgb2eHqFzaan/w4F20b18VR47sQJs27XH48EFpEGMAjRs3y5VnFHWuXL+OOYsW4cZ//yE+Ph66uroYOnQUHj68h0uXzjPVZto0aYLSTk7o2bs3Sjo5ZatClFO8ypfH6Tlz0GTGDITKylBs4ncBgTKM7dgcxUhJScGCHTuw/cwZvJYtxJYpUQJLhw/HhDVrIJFI4Jcp7oWpqSW8vVujZs2GsLCoCAeH0oiNzZ06PmrUv0hJScLFi//C27sPnj69BEAeMbhrrjyjqOPv/wqbNk3FgwfnERMTAbFYDdWqdYOmpi6uXpUqEsTEZAy+b2/vBTMzN7Rp0wdWVi5QU8udbt3U1AZbtgSgX79iePToPIpZWOBLujfGfKdd7rB9+xb8888qPH78UCbWZINWrZbg+vU1CA9/j69fX2S4XixWh5tbH5ibu2P58gYoU6Zs2lvcX2XMmPFISEjA3LkzsXWrdLEgOloaD7dYscZQVycikHNyTHR0GPbsmYL7948iIkIqwFKzZkM0adIF//wzBwAQFJTxxZuzc0U4O1eGl1c31KjhBiurYoiJ+fV2XSQS4fHhw6jQti12HjuGpl5eOJUugHgTBeKicWguXTqPJUt8cPv2TSQmJkJPTx+DBk3Ef/9dwt271/D1a9b4VW3btoeLS2n0qlUNLsWLIymXxm5Nq1XD4dmz0WbmTMTJxmzhsiDzOpqacLHmoYt+laSkJPj8/Td2HTuGt7IF0vJublgydSrGyxbB32d6uW5rY4NmjRujaePGqFCiBFycnBCVS+363u3b0a5LF2zbuROtW7TAnXv3EBEhFRBo0aJTrjyjqPP8xQtMnTULFy5fRlRUFNTV1dGrZUsIALbIVJpiMsUya1CzJkqXKIG+Li5wsbLKtR2Pxa2t8WnvXjh07owbz57BRF8f39IJSfCddr+OIAjYunU9Nm/+G8+ePYZEIoFdsWJYOm8e/lizBp+/fMGrNxlFaDQ0NNC7dx9UrFgRTk514eJSFjExOa/jCo3sLSwAAwNaNUs+dxQEAadOnYe9vRNcXL7Hwki+ckV2Zv6W1NC2ZtabAChXjq0oRomGsmLrfotg34PynVIbYanxAbSSDPVy6vZttp0S46IUTc6dA5KTo3Dpkhfi4j7A0fE3uLrWwYMHtfD2rSXevgV0dEYASIYgxGPfPh18+vQKZcvWhLr69zhz9tZhUnkUWbwrEj09QF8fIkah+vTpu/rJ58/++PDhDerV64ULF04CAGrVGop27dbg7Vup4s/47kRjRO3GomRZKTUqKmhn1apsO6HWWrwmW2gjXsJWrlxIhAqbMoWtJKVFqW+xVLNkAd6PPX2K9hs3opKdHXyaNIFHnz6oVLYsNDU1IZFI4B8QAEMDA8SYWMPP7x0cHIrD0tIyLUaF1uM7wMePSKbUf+TExwMiES0NlU7S6cKtW9DW0EAHNzfI91CGjRgBUx0dQD4YoaSVFI2dQVV+yk9KAoolQU3dg6q0lDolFcCX+q5UOY6JgUQQ0PXAARx+/Rp9y5fHzCpVULttWxS3soJIJMKQhg3xLToaIpEIBiEhuOHnh/qlS0NDTQ0ikQhABNDSHEBYtoO+PXsAHR22umtG4gHcAFAHO3YYyWymAEKRXimWpe61amFsViOAZDFb/YlSWixuSnwXoiF1dGT3A5XZYlRkljRtyrZTTRSlMGUDtkKqm6Umnr96hS5jW8HI0BAThg+BR/XqePi+EbS09GU+zIK6uhaSkuKwe7c0HbS0SkIslrbrW7dK7yWR/Hgiv3OntB+nlG/T9z2PH1+GIAjw9m6APXvmAgDOHj6MhunfHFK7AKjJPiHLZQ92GUEEIeNFdZ4REWw7pUxN1XNW5hIxYIyIOp7o4MK0y5v6OXPmYNasmWjbti2GDh2CwYNrIyrKDUePigGMBBAIQBfTpmnB3/8mHBxqQ0NDL21gX7Ys2/XMhEeqIVmiRoq/ybtCQQBOnryAEiVcYW7+vRJOm5aSFh8XAGQbRbIgi8SQBXvdrC+TpI4x+kLqJSIhgBWryT6ue+US+zZxcey4MVRxouZQlJ1SPbS1BaKiwjFlSl2EhwehRYvf4O7uCReXWjAykoaLadhwFFJTU5CUFI+AAE2Ehr6Ho2M1qKl9H7tdviz9N5EtsP0da2tpRQ8KyvpZujR+/+4d3n/+jBEdO2LTwYMAgAnt2mFRH6l6KSm/CJD1gZTeo/KWqps7dzLNbkSf7da5M9Neu3bWeLsA0LMn+7EziDCB1MlU1pBAPhd4/foAjh/vAhubGqhVayHGjq2NsmUrpo3dvnz5BAMDI1hqh+P127dwLlEC5mZmaWO3bxIjxAPZv1xPTpaOQaiCmW58cuHePejr6KBDjRoYKrNFTZ0KAy2t7x0AJWhA2annUp0hJZlO1HNWs04Nrai+jVK3JooN+ZXUXhJhR0xNkZqaig7/+x9OX76M/l27Ym6tWqjt6gp7Gxvp2K19e0TGxEjVmBMScOvZM3hXrgwNdXXZ2A3SgUhQEK3WKUc2PyPHnrJxc2x0NP777z+0qFsX2vFSZVoXFxc8f/7q+zPBHudQc11qXZcqHpSCM9XuduzItlN1kPKH0k2khv1Unjs4sO24cgUP372D98SJsDQywoR27eBRpgyq6etDT0s6Z/Tx8ICOhgbik5PxLS4OmmpqKGFuDg15AZY5H0UNKOWoq0t/KOfTtaPnb0nXWRqXL48Zm6QxcW9Mnoxazs7Sjj4igk58yk4otQvD2afoRCnESwZqfkaU9ys32POEp4SOabqNjWlQSUu5QukvmsRJN0hNWbgQC1avRscWLTCqdw/UtrREaXt7iMViDK9WDUHh4dDR0oJ2yZK4ce8ePKtVg66OzvdF2agoIP4pouKzqePpUGjWLKEWGtKRnJyMXbv+wdWrp/H334dgaioNVtzK0zPH6iacH/Ps2QzExvrB2/sGjIykI4X0hU4kMpH9C5iYACYmiupRK0ZoaACWLx8EMzNbtG8/CpGRFnj//gqqVeNKY7lBXFISem3bhmZubtg/YAA01NSASt8XA8ViMYrLekldS0tYKqw//p2Y+HgYUqsWMgRBwOknT7DizBlMbtECNsbGKG1qirjkZOgyxEc4ivPv48c48PIlfDt1QpvSpaXGdCMSPW1t6Mk77ZgYNM3pzP2niQIwBkAYgAUAImT2OUi/WMf5efqPHAlrS0tcOXoUpibSNvxFwPeBk5GRdNeqnp4pfkVnICjIHwYG2ZeXN28e488/x6NevbaoXLkeenXtim27d6Ni+fI//3BOGvfv38esWTMxe/YcTJ8+HQAweHD6KzQBSENMaGsDLi5NfvpZ8mDmPyI5OQk7dvyJu3cv4++/T8HMTNrelC3bBSIRj3WUG6xfPxlhYYH466+bcHCQtuvp59qGht9nl7Gx3+t8XvH561cMXrAAzsWKYWiHDlCLjsaI9evRi++syxUSEyNx+nRfuLi0R/PmOyEWq6cfukEsFsPe3hEAYKEvhoX5z8f5jktIyNHY7djt2/jr+HH49OoFCyMj2BsZQUddHVp8fpYrrNu+HScuXMDxbdvQVP5iK91iq76eHvT1ZAsQoaFoUiNvj6RGREVh5Pz5iI2Ph8+oUfgUKH1pOHny1AyLdZyfp8/SpShhZYWLixfDSJ636XbvFDMxYf6uKIFhYTDUYy9epefemzeYtHkzutarhxquruhYpQr237sHV757Nle4cfcuFqxejSXTpmGcPEZgut1dWpqaKC5PawMDNM2l/lShUdjQoR0RHMzeIfDtWzj+/HM2vLwcMWfOSHTs2B8NG7aBpqYmpvXti6PXrmFTLsVgKOpERT2Hubln2mJdXvL3hg3kQu3z57cwZ05n9OhRHG/e3MPYsRuhpaWD8uU7QV/fEmvXeiM5mce8+VWCoqIQER+PAbVqSRfr8pAGs2bhiWwLf2YSk5Ox5vx5lJs6Fc2WL0e1EiUwobk0ztFsDw/4R0djQrrjNJyf51lICGwNDNBaFh8wL/H1nfCDevoWwP8AFAOwBcByACUAVATgAWA4gCd57mNR4NnLl+jcpk3aYl1e0aOHNy5fZsefEwQB58/vx+DB9dCjRwWoqalj7NiVAIDfhw0DALTv0YP5txzFePFCetR1cMZVujzht9+6ICSEvfUrIiIUf/01A02aFMfy5ePRufNQeHg0ga6uHmrWHItnz/bg6dNdee5jUeDDh+eoVMk7bbEuL9mweze5UHvt4UN0mDgRjm3b4um7d9g0fTo0NTTQrU4dmOjro86UKUjJ7vQFJ1uioz8jOTkG7u4DIRbnrThT4xkz8CLTMUs58YmJWHX0KNyGDkXruXNRp2zZNLEwnwYN8DosDNPOn89T/4oKz1+/hqO9/ffFujxk2ooVSCS22r7088PgmTNRzNsbu06cwKopU1DMygo1ypdH5cqV0b9/X7wmThlxco4gCHj+6RO6eXl9X6zLI7xGjsT5e2yhAolEgj2XL8NjzBhUHTECBjo6WDZIKgY5ron0ZV+XtWvz1L+iwgvZUdfB1BbtPEKhBbtXr56gadPy2LlzA+Jl22pfvHiCBQsmo04dF6xfvxje3i1x9OhDLFy4MW31fu6gQXAuVgy3qP2LHIWwtKyPkJBLkEiIYwe5yKRZs9CsfXvclh2LSEhIwMEjR9Cma1eMHFkL798/xpAhy7Fr12dUrtwAAKCtbYhu3XYiMTEaX7/mjWJlUaKEmRkcTU1x7tWrPH+WWCxGtQkTMHfnToTJ3gp+/PoVi/btQ5nBgzFyxw642tjg/IQJuDplCnRlW767uLmhfalSuEkdS+YoRH1HRwRER+NlGHGULBe5dWszFi+uBuAEAAmAVAAXAQyAVEziEKS76z5AungHSHfVyV/AEEcKOQpRv04dnE+nIJVXuLlVwIABzTB27BB8/CiNLfvtWzi2bl2Hxo1rYPJkaUybefP24MCB17C2lp4FqVShAmZPmYL7jx6RkwROzvGWTejO58NE+eHDu6hXrzyOHt2CxMQECIKAV68eYuXKCWjXzgXbtq1AgwbtceDAE0ybtibt7xo3Xgp9fRt8/syDVOcGlSvXx71753N0WuVXGTtvHloNGID7MlGJ+IQE7Dt/Hi3GjEGdQYPw8sMH/Dl2LD4fOwZP2bFFM0ND/DtqFCJiY/Hqy5c897GwY2rqCj09a3z8mDviAT8iMTkZVUaPxsL9+9PiVb0PCsKCffvgNmwYxmzYgAolSuDywoU4P28etGSnIXpXrIhmLi64SSz2cRSjvqcn/D5+xPt8EF77e+dO1OzYEaevXYNEIkFqairO3biBvlOmoFybNjh2+TImDhiAT+fPo38HqUCdWCzGkSPHAQB37+aOCF1RRiQSoX6FCjj34EGeP6u0gwMa/v47Rq5ejU9fvwIAQiMj8feRI6j6v/+h64IF0NbUxIFp0/Bi/XrYmpkBAGo4OWFy8+a48+EDfxGTC9T38AAAnLuaOwJvOUWhVz4HD97E4sWTMHHiIEyfPgKGhkYICfkKY2NTtG3bHUOGTIO5uRXzb+tXqYI7L14wP+MohqlpDaSmxiM09BosLb3y9FkHtm/H+GnTUKN+fVhZWiIqOhrx8fGoXLEixo/fjEaNejMDZZYoUQcikRifP9+FnR0PTv4riEQiuFlb48zLlxAEIU+3sV+cPRuLDh3CvD17MGfXLlgaGyMgLAzamppoU7Mmjo4YgTLFijH/tkHx4hh57hxSJRKocbn4X6KW7Ijz6Xfv4PYLx2RywujRl3HgwGgALQAYAxAAREK6k242gNEAWGcwjQG4A7gL6eIe51co6+qKFf/8g4jISBgbGWX/Bz/JqlX74ev7L1aunIGtW9fC2toWISFfIQgC6tZtgDVrLqBqVfbugIbe3pg5fz5evn6NCu7ueeZjUcDW1hYmJiY4e/YMunXrlqfPOnnyJubMmYjZs/th0aJh0NXVR3h4MIyNzdGyZV8MHjwlLXxJZpycGiIg4AdxzDg5pnTpaoiNjcTLl3dQpkzeHoXbs3o1xi9YgCp9+8LazAwRMTFISExEtTJlsH3OHHRr3Jg5dvOW1et7796hLBm4iZMTxGI1mJi44uPHMwAW5emzLi9YgPn79mHGzp2YsXMnLAwNERAeDl0tLbSrWRMzundHKWLs1tDJCdMuXMjz8WVRoLYsZvaZy5cxuFevPH3WhW3bMNrHB00HDYKJoSFSJRJExcSgpIMDFv7+O0b07AktRmxsa2trlCxZEvfu3UP37nzH/K9SpnhxbDh1CjHx8dD/lXgl2eA7bx42Hj+OuVu3YvXhw7AxNUXQt28QAWhUpQquLl0KTyLGdgM3Nyw4cQJ+ISEoxY/G/hIlHBygraWFM1euoF2z/BPVVGjBztTUHH/9tRf+/m9x7txRREZGoFKl6qhTpxE0NTXJuLGAdNEhNR/eKhYFPn7cAgDQ1CSiaeYiDb288PrBA5w+dw63792DkaEhmjVuDNdSpXD+tsEP/lKASCSGRMJX83+Vj+HhuPTmDao5OOT5YEpbUxPL+vXDpO7dcfD6dfiHhKCcoyNaVKsGA11dOqI2pHuuBAASQQCPhvJrbHn0CABglcdb7AHA2roMxo69iREj/gNwQWatD6AGchafjrfrv0p8fDz2Hj4MEyMjqOfxsXeRSITevUfgt98G4PjxQ3jz5gXs7IqjadPWsLS0IgWP0pMfO4QKO2fOnMG3b99gYZG3MWYBwNLSClu3HsSlS69w7dpxxMZGwd29JqpXbwB1dQ2m3lF6BIHn968iFWPbAgDQ08u7BXk5TevVQ/umTXHy0CHcffkSpoaGaF6rFlwcHOjI6vge75CP13+db9/eIiDgOuzt8/54pK62Nv4cPBhTO3bEwZs3ERAeDndHR7SoWlUa7zabl6g8v3OHzbt3AwAs8/hFKwBUcHXFXV9f3PjvP1y6fRtqampoULMmqpYrl+1cQSQS8flZLhATH48D167B1MAgz8duYrEYY7t2xeBmzXDo2jW88vdHCRsbtK5VCxbGxrTYD76P5Hk9/3WOnTuHhMREWOVDHU+PQgt2DjbJMDRMRnF9E3i6pZfhkCn32bIXkFLjDXD0xg10atIko3wPMfl3EbNVM1zKEMoojNHmu3D222JKwYY6yUcJM1EqhixBLgCgQlGdOcO2T5rEtkdEXAHwL4A1OHfue/Bvyh+Z6FcWnMZJt8pGJ/1YJOBdsAH09Q1x4GRHAB3hHww8lcVWlAnPZOGPP4CXL09AIkmBm1v9tOz57zP77V4NXUKGiBpgUKIKVOKzlEEBWmKKUK/SsbVl2mcPj2Df5yBxDILKLMaKd8rQ4ZjUqwd0DAyw59pNpFpIyzUh1gOrh/+xP5BHts7uKJtEAkgksEhOxuD0fsbFSX8oRcW7d+H78iXq6OtDI/02YUp+mUp7qjOhVJGoiksdR2DJPlPlTIF8AkArdbm6su1EGoT5+2PcuXMYVL48upUs+f151KyaCGgarSmr49kIgXh7A/r6IvTsWRNAVuVuqo0KDn4Hafy6KRnsLNUlQZe98Kjx+BHTXoKSdHpLKCoRsnDe2uwBjH9ULaadaqeL2RJB+2/cYNs12XmebMgOIj9x7GK8e/8eO3c+xKvQ4lLhXdCCpyVLZrX9SMwxPU7aATDUjgYsLTFkQGZ5vGQ8jmGXF+/WBnj37gw0NMwxemqNNHXai6vZibbkT7aq9r//su3jxrH9HTSIXXb+/Zd9fRdror1//pxtp1TEWW0OJSlWty7TrKXOnhC9fCXBkCHDUaWKB/r390lbJGUpLAO0qvH27dJ/ZRFKSEzD3sAwUR9t25ZG27ZZ46dRZadSpSSsWHEcTZoMzNAcUu9typQhHHhMpD2rLaXaV6Jy6mmyleiuXWOXY6rL+N//2HaqDlICjtSC97t3Z3DlygGMGLEZRkauafel2ldKfLlhQ+m/VHeTRmQk1FNT0apWLbSqla69S0mh+19XVxw5ehQA4NWmzfcBM9X3sPpTAKAmMlTeUgNtagJK1UPiPkbyRMtEmap1mPY1a5hmsizI1mgy0KCBAB+f8TAyMsPixbthIHu/TdWdly/Zi7jytj4bsXdAQwPQ1ISViQmGymILZ4CS+/T1he/r1/DW04Po8OHvdqpCGBoyzfF2bEVsmVhlFiKINoca6rGGdJRIMRUu3dOTbaeKN5XfxmXYok0Bd+9g6qJFGNW/P9o1apRWfpOd2DErU4hYljp+slBCVD2VExwMUWwsPMqXh0d6MSj5sUeifr66cAFv3rzB4k6doHbiaJq9afNWWa5VVFyd6ArJvoGannXtyrZTYbKpJkGuCZAZqv2kpiBURK9lN27APyQEz69dg3a6PuqVI1skqnQw4xilPJGTCVVVOSkpQEoK9NXU0KtevYyfJSXRBfbMGfjevw8bbW2Uevz4+5ehMouSWSZ25okOHmBfT83ViYp79Db7hCYVapHVzAFsRV9qSrFoGtGwEn/wJcUCQ6ZOR5069TFkwhKEyBZpLaoas+9DDTjk6xWxsezPGeTLubWL//2HwJAQ9GjZMj8eV2hJTFwJoCmkAeC7K9mbH3Pv3g7Y2VWGlRWxWMHJlvDISDRt2hi7d+9Cv34DYGHBXoRWBYKSknAuKgo9ZDETOD/HsYcP4bZpEzTV1DA8vZycSrILgB4AYlGWky2pqakYPPg3rFo1ETVqNEKpUhWU7RKJIEgQHLwLFhad0xbrOIrz5MkTtGjhjo8f36JPn1HQUGFl7fv3TyM6OhxeXvzY1K9w/PhizJ/fBhYWxeHh0UnZ7vyQHceOoXalSihBvd3mZEtcXAgmTvTCzZu+aNp0IAwM8lZI6Ff4mJiIqzEx6JHHYkeFnUOHDqFCkybQ1dHB0Dw+Cvur7Lh8GcZ6emhWhYcr+llSUpIxY0ZvzFqyBK2aNIFbPgjE/SwpEgn2+Pujm4MDD1f0C9x79Ah16pRFYOAXDBw4Cmr5rKydt7JFMvafOQNne3tU4zFvforU1GeIjpafSx8MYDEA9lsuVSA5OQHPnh1D8+Y+ynalwDJ91Sr4rF0LAwMD+PoeRYsWLZTt0g/xjYiAWCRCB9O8P6ZdGIlLTITduHH4FhuLRsWLY1PTprAz+NGRc1VgP4C2AHSV7EfBZPfuXejdW/riZfz4VejQgXgVrCJERd1GYuJnWFrmbby1wkzT5s1x+swZODu74siRB3BzU90FWgC4ceMAHBzKwtGRj91+hg8fHmDGDOn2yBYtRqBnz/nQ1s77MAc/S3RMDE5fu4Y/Jk9WtisFlgsXxuP27aXQ1zfGnDknUbVqU2W79EMORkRAWyRCW2pXDeeHREZGwtraComJiWhRvz7WL1oEGyv2TiFVYf+NG+jo4ZEmPMJRjKNHt2D27H4AgLVLl2JAD9V+oXU1NBTBiYnozmOS/jT12rbFlVu34ObmjkuXHsPVlb3LNi/JlwW7R69eoXalSjyYaQ54/fogLl78HfHxZaCtPRvJyb5ITt4DABCJzCEIfwEqHiHs69eXSElJRIkStZXtisoTHRODiYsXY8+JE1g4ejT0dXVx/PJl7DguVXHauXMPmuVjUMuf5WFsLNy0tWGa3RZ+Dm6/f48h27cjMTUVm/r1w8WXL3HiyRN8k22N3t+6NQy12McGVQVBSALwDMAgZbui8qSkpGDZmjVYsno1+vUfiLp16+H48aNYu/ZvAMDo0WPQpctwJXuZPTExDwGowdCQOCrOSeODvz+GTp6MJ2/eYOO6dXjn54cTJ0/itOz849q1R+HoyDjXrGL4+T2Emxvvx3PCpUu7sWHDeDg4VEGLFhNx/74vbt7cBQCwtHTCb7+tVPkx8LO3b5GamoraKr+7W/lERUVgxYpxuHjRF7VrL4WamgbevTuO58+leT516kFUqJD3set+lUfx8XDX0YFBPu8WKYjcunUd48YNhbq6COvXb8CZM2dw4sTxNNX0PWvWQE9XtV9gxiUm4k1AACbJVGM5NMnJyViyZCFWr/4DHToMR5ky1XDlylEcOrQOADBw4EwM6t07m7son0cREdBWU0NFviifLW/fvcOQ33/H6zdvsPmPP/D81SucOH8eV2Rn+7dtOwIHB0el+JYvs2s1NTVEZhuAgfPq1X4cPSo/LvEJMTGnIBKZQ129KbS1F0JDowMiI1V/O6uamrRYJSQQcUk4AKTBnet1744HsthKg2bNAgBUdHXFlIED0aNlS5QuAIt1AKAuEiGKy4Vny7OAANRYsCDt/zXnzYOelhYauLlhbe/e6FGrFvTevVOihzlFAkATAK/j2TFm+nSsWr8eALB06SIsXboITk5O+N//hqNDh06oU6cuHj9WspM5QCRSByBBamoMxGK+k5YiIjISJdLFDGvaogXU1dVRx9MTixcuRO9evRATz46HqmqoqakjLo7X8ew4d24bli6VTtxCQz/j/v3DMDS0hLt7U1Su3AZVqrRV+cU6AGlHfKKoAH0cAFLRnV69auDjR2lwpRMnpLttrK2roHbtaShbticqVGDHJ1M11PjYLUc8fvwAzZt/D4JXo0Z16Ovro1GjRli/fgO6d+8O3TAiuLQKIZFIoKGmhigqqBcnjREjhmLLlo0AgPXr5wAA7O1Lolu3UWjYsDMqVKgNIESJHuYMNZEIyRIJ4lNToc+PxJKEhYXBJd3LqoadOkFDQwN1a9bE0pkz0btTJ8DSUWn+5cuCXSVXV/y1axc+fvmC4oSsOAe4evX7MQSxuAJ0dJZCXd0bIlHBevNlbS3dKnrjxlq4uan2cQBlEh4RkbZYBwBTBg7EwI4d4ZiujhSUYVQdAwP8FRyMC1FRqE8EJeYA665cyfD/vUOHomWFCtDJTqZRxRCJtAE4A9gIYBzyqSspkMgX6wCgf//fMGTIMFSoUKFATODTY2TkCUBAYOAGODhMULY7Ksulmzcz/H/N6tXo0rkzTNOFC4j5kM9O/SSOju64cmU3wsICYGZWMBYZlcHGjePTfnd2rolOnebD1bUuxOKCNXar5OYGAFi/bx+8atRQsjeqS2hoUNpiHQDUrj0dFSr8BiOjgnfkzFNfH5vCwnAjJga19fWV7Y7Ksm7dqrTftbS0sGPHTjRv3hzalEqGiqKvo4PilpZYf+YMRrRsCTFfwCGRL9YBQOfOw9G+/SCULFnwwkPUMTdHqiBg84cPGOHCFofhAKcyKT2tX7YMHVu2hLHRd0EgZS7P/twsi9jyGxvHnoB4liyJ1YIA79698WLrVmjJJ6dUvCtKloa4PjAha7DUDx/Yt6B2K1Nif5QKSdkybNVA/8/sNKDm43K1z2vXtiMy0g8WFiUwduxh7N/PbhQoNTdKsadiRbZdrqKUnbqcg4NUFIql8ONDhKjz8BDB2toBT574IixsM1q1kr59rFaeUCgNJcoBocqKa9fYdqrjoZTGqEyh1AQpeS/qbTTVkb98iZj4ePRfuhQAML59e8zs3h168iDP6e6nFuDPvIUV9UxK+kiuFpVdhsuhviuhNOYp2xXW4OVLfAWQpg3UlFiwpdSDKIkm6m0gpS5HqBkx5YNevmRfSyngUZKNFLIFzOuvXmHnnTvQUFPDiUmT0DAkRKrmlVkmi0oDSn6QiEthkPINACCk/HiHTMmSUhf//JP9OSVy1LZtRbx9uw3lyk1AzZrL0+ysNlYU8IV9E6ocUHWWkhSj8pBoE+ypLW3lyrHtcGRaE6t6MO1aKbFITU3FpBkzAACtmjfHulWr8C7QCUlJwJ07Ga+nqlvNrKK9AIALFwg3c4KeHqCvT7YV+vrsuDaTJ7uifXvAz28ihg5tAGdnWcBqQgW5MZGFVB9M9dnDidPClOIfDAlxK6q9p46JsBylyqWsI3//5QumyXbQbpo1C30aNpROiDK1Jc6Eiuawlmwf4y2Ls58rI1uhsagoQCKB2l22ingNotxXqOCJc+e2YM6c5vjrrztQV5eWDUo/zCiU2B1MhUpgjfUoOUFCvX3BUnZ5pbKKgmpCqLHhyJHSfw8c2Ihv376iRInS+PPPQ4iNdWNeT6llUmqIlNDqIFkUguhoYMMG9jUApGmurs5uAwk1QfVLl2Cmq4udx46hpb4+uskHkFRlo/plStaPghrzUzGXqP6dUkkkxpI6H14w7cWJvl+/ditERUVi7NgBAIAxY6bi99+nYtgwHXz5AnxJ181Rmh1UklFfSd43ZLvpUV9f2rZTEH2hZ4h0Curx+jVC9fRgJn+RpMgYCoAmUcWpLv7zZ7ad6gdYTQgl8E016ZQugFywMTPyLuDq1Us4ccIXOjo62Lv3BBo18kq7Jn03GiSxZ9+fGLbUKBnG/kC+cCoQ6vSZYUnoAuSY0b10aRy8eBEzjhyBD6UGLEMvjr1E4e1AjCupOksU/Do12QMCXV12u041FVSf1Lgx207lub34C1JSUjBm9mwAQMcWLbBm/nxYpG2kyJhnkepsMUAqS6yrZ1WmNgqQtUPZVXKxWPpDzfOITq/i168AgJEPHsArJgbuOjrSD+rXZ9+H6oNDiR2kVKNGdcLEHIdar6DGjNRjWSK0lJo8JNIx15u3bzFn8WIAwPbNm9GtWTPmYraFmKizH4gCRaWBfHBPzWEZ5MvSupcsF94HBmIfpclchNm/fybWrOmFunX7YNmyl3BwKHgr+JkpU6YaAGDu3P5K9kT1CAwPh+eECbj4+DGOz5yJxf37Q6+AvaXLTPp9s+OU5oXqsvvGDdSfOxdl7OwQ+M8/aFgIBHhsbKSy8k+frkBcHNFZFVESEhLQvnt3LF+1Cn8sWoTDe/bAWsUDUSvC7NmNlO2CyvHfkyeo3rMnEpKS8OLQIfRr27bA716oWFE6oH/37hH++++4kr1RLQRBwLJlEzF9+m/o3HkwfH2fwNmZvVhXkKgsm5h2371byZ6oHgEBn9G8uQfu3LmJ/fvPYMoUH+jIJ78FlJLpdnrPoBYCijC7dv2Ldu0aoUKFynjx4gvq1PFStku/TB3Zsb95mzYhgoerykBcfDxa9umDNf/+i78XLMC+tWthYWambLdyjdbUingR5tr166hRpw5EIhHePHuGHt26qeTYLV880k23GPH2C7HToojy+vVNHDw4B23bTsWgQRuhrl6wjsZRlC37/ThFXByPh5KeSVu24ENwMK4vWYLm1aop251cQ34Q9plSvVA9vkZEYOC6dWhRqRLOTp0KM5VXf80Zenrf36TGFJQzfvnE3xs24Mjx4zi8Zw9GDRtW4I6/UlSv3gYAEBPzTcmeqBZJyckYMGsWillY4L9t2+BaooSyXcoVdHS+H5H78oXYcVxEuX37EjZuXIyRI+di5sy/oVFIFBfrpNvJmKjoNsVCjCAImD59LIKDg3D69C14eRWOlxbp+6bn1O7+IkpAwBf8/vtgtGnTEfv3n4SxcdbTXAUR53TbPz8GBirRE9Xjjw0bcPryZZzctg1DevVStju5RiPZrs0PycROsyJKQkIC+g8eDGcnJ9y8fBklnZ2V7RJJvizYGejqoqZsi6UTdcyxCPLliz+WL28DZ+fqaN9+ZqGZ1AFA3bqt037X0Cgci5C5wcpjx/DvhQtY3K8f3IkjPgUV+ck1rin4nfjkZDRbuBD62tr4e8AAaBYiFV1Ly+/nNbW0uAiBnAsXzmP81KkY+ttvaFlARGNyipeXNLC+vX3+S9qrKoIgoM/06Xjr749106fDrBApsRkbW8DRUZrXVlY/PpZblIiK8sOoUR1QubInBg6cXKjGbm3Lfq/b6iq4y0BZLD54EIcP78Xcucvh4sIOA1BQGS1bbK7B8zuN2NgYdOjQBGZm5liyZHWhWZAHAM90Zw+NC8kL5NzgwoUTmL5kCX4fOBCN6tZVtju5Sl8T6WJzDRVXMc5PBEFAt9698fnLF2z4+2+YmKj2gny+zR5ruLnhQ1AQunirvsx5fhAbG4OBAztBQ0Mb48cfT4sNU1goVswJOjp66NJlFF+wk3HxyROM27oVv7dpg0FUbLcCjDyU6fgfXlV0kAgCBp87hxdfvuCWjw+sCtFEHgA0NQ1gYVEd2trmMDIigsMUMd69e4e+fbujfr16WLVsmbLdyXUsLaU7x3r2XJDNlUWHZQcOYPepU9i7eDGqF4Kj7pkpW9YDcXHR8PRsp2xXVIKkpCicOdMRRkYmWLPmaJqyamGhpJkZtNTVMdXbG2p8AQcAcOrePUzZtg2//z4FXbr0VrY7uU4psRhifF+4K+qkpqZizJgB+PTpAy5cuANT08JzJBIATAwNUd7FBSXt7FDcxkbZ7qgE7969wujRvdC8fn0snT5d2e7kOiVkMXx9ClFoll9l3oIF8D1yBIf370eF8uWV7U625NuCnb6ODiJjY1XyXHB+ExcXh169WuHVq2eYNOkCDA2J6MIFGhF0dPQRF8fjIwDAtRcv0HL+fHiXK4dF/fop2508QX54ih+Alr65GXb+PLa/eIEdI0agQvHCuTtFQ8MAycm8jgPAx48f0bRpfRgZGWPHxo2FbiIPADo60rfx8fE8zwHg72PHMH7DBkzu3x+dqOjWBRwdHX3ExERAJOJjt+TkGBw/3gxRUe+xbt0lGBoaK9ulXEcsEkFXQwPRiYRIWBHjwqNHaLdgAZpXqYKJE2cr2508QR+ABAARw71IIZFIMHbsbzh+fD+2bNmH0qULflxKFvo6OojJqQhdIefDh7fo2rU+LC1tsHXFikK5TmEgG49G82PvAIAVK1di+qxZmD19OlpTiiUqhkILdpFxGhDUNWAkZsu0iKm7GRqibq1amLd9Oz7FxsLZXqakQymiEKpz36LYEyCW2hClQESpkGzZwrYPGcK2Uw+wp2RLLB0BANHR0fjfmIF4+PA2Th89imoe7Bhm1G1++43wh2DdOrZdHncyuxAljx5JhadYojGUuIlU1UodpUvXxuvXL9JUri7f0mJeX6+yIdNOSt9SjSlLGgag1VopJTNK3oc6wko1gLKYAfdfvkTLBQtQo1w5+K5YAQ3q/iw5zqdP2dcaEmlGHbmUp1l2HVFCwo9ViH7Q2Ms3kL8AkFZcKGVTSq6LUnmjnkulA6UIWbJkzu9ByQZS6tYyObTklBTMPHwY/zx+jI39+qGbgQHAUiWltqYrqnZ84gTbLg8/QDUmMuT1mKrPlMpb27ZAXFwdHD/+F9q0EdKOhbGKrEtFojxRErSUFBi1S5GyK6qmTD2XQOuzVBXzc2Ag2vTtCw0IuLh5EyzU1JiKyh7V2eXy9AX2zoZMKvNpsKq5PCyNREInKwCp0ldCAiljSFUdXV3A2bkkTEys8fXri+/Fl5C4rVCerTKorc0+PkglPTEcgNZbIlqmJlFgqQU1qn9gJbKsTRAEATuOHsX/Vq/GqF69MG/qVIB1LJLqM6g6qa/PNFPFNcdCY8nJ0ptQbR2hmtzg/jXE6IVhf1wUylyegWJGRtIPJBXZ96GkMal+iaUoSKTZ+3Ajpp0Sdqa6kitXcu4K8F3oPCoqEkOH9kBs7BMcOXIOtWtXYF7vZs5WVexCCPJR8rF1Ojoy7YKtu8wf4n5y5CqxrH6D6ktSUqAFoIadHV4GB3+/jhqHUGMuyjlFJVKpzodq16lxAqUKTk0IqlcHAPx3/z5aL1iAurVrY9+WLdCyZJdj1nyPqmrNm7PtlGplCUupBHRUVDZS0Boa0sabyluqYe/dG3Wjo4Ft2/DS2xtO2b1cJO4Tk3OxQwB0m0bByvK7d9nXUuKXainsRWhNUy2ZT0mYPn0y9u3bis2bt6N27fZMYUwqbj+V51R1SNRn79zTkvepOV1Qox5AqXru3o262trY8ewZkE5cJtSuSpZLrfTZ41TBnK2OKoojyilVN4mCUMWR/Z0c5rDTjBquU/2DiUSq9vnR3x/9+rSHkb4OLh/aC1M39gLtm7fscQs1/KamCawy6+UlfWZqdo16UpK0nlNpSc0p6tdHOQDGHz/iRbFiaCdr30iotoKSLqeeS/X7RBtlb8uun7q67LWD5cvZt2/VOOt9AkOl9xAEAbt2bcK48eMxbNhE/DZkNgLDs+atpia7fJuFvmI/lDHeB0APbOWD9GzmZ+nJt2XkSrJR993nz/PrkSpFdHQ05i9aBMfSpXH0+HH8u3EjPD08lO1WnuLkVAlv3tyFkFNp8kLGo9ev0X7CBFTp3RvFLCxwaMmSDAIshQ0LALYAiDFUoSc5JQWbrl6F69SpWHD8OOa0bYv+dbJKuBcmnJ0rIzIyBCEhxCJ0Icc/IAD/mzEDzvXrIzQ8HMfWr0cxavJZSChZsjLevr2nbDeUgiAIOH75Mmp27YpekyahU5MmWDFpUqGKYZYZuWroPeotaCEnKioSS5bMRpUqjrhy5Rz++WcnKlfOZsJTwKlkY4O7RVgg7t6jR2jduzdqNm8OFycnHNi4EdqFeOxmr68PM21t3CVevhR2kpKSsH79WpQrVwp//rkC8+YtQteu3ZXtVp5SydIS/tHRCI7NZiG4kPLh0ycM+v13uFSvjpjYWJzYvRvWhfy4aCULC9z9+lXZbigFQRBw6tRhNG1aFePG/YaOHXthypQFBWrslm8LdhYmJrAyM8MjaldTIeZTQAAqVq+O2fPmoVvnznj3/Dk6tCv88WAcHd0RGxuBkBB/ZbuS76zz9UXl3r3x+O1bbJo+HQ937IARsXuisCAC4A7gkbIdUQJxSUlouHQpBmzejEoODng4axamt26d/R8WcBwdpbs93r8verl+8fp1lGnWDHtPnsSskSPhd/Ei3Fg7OAsZjo7l4Of3qMi9iBEEAYNmzkTLoUOhoaGBMxs2YM/y5QVqwPcz2BkZwUhbG4+KoJpgQIAfvLzKY9WqhejSpQ/u3PFD48YF4/jMr+BuZYXA6GgEUzvZCjF/btmCqk2a4NW7d/h31SrcOXUK+np6ynYrTxGLRChraopHYWHKdiXfiY6ORqNG9TBy5FDUqFET9+49wZgxhT8Ss7uFdAfRoxD2juDCzPnzp1HGwwOHT53C/KlT8e7OHTgXEmX3H+Fubo5H1K7LQoxEIsGoUX3Qv39b6OsbYN++C1i5cmuBG7vl60HtBtWr4+jVq0VqoB8ZHY2WQ4ZAIpHgxcOHWP3HH7CXHwku5Li714NYrIY7d44p25V85di1axi6eDGGtG+Pl3v3ol+rVtAoROqgP6IBgEsAilKEq5TUVPTaswd3P3zAlUmTsH/YMFSgzlcVMiwti8Pa2gm3bxetOv7izRu0HzQINSpUgN+FC5g8dCgMCvmCvJyKFRsgLCwAb98+ULYr+crs2bOxYf9+bPLxwdVt29Codu0CN+D7GUQiEeqXLImjL14o25V8JSoqHJMmtYCmphZu3HgFH58/YG1tq2y38gVvJyeIRCIce0Uc/ymkHDh5EqPnzsWYwYPx/MoV9OrUCepFZexWrBjOff6M+Ozi5BQikpOT0a13b7x48RyXL9/Etm27UaZM0VBAdzU1ha2+Po5RYWsKKU+fPkK/fp3g7eEBv7t3MW74cOgV8gV5OQ3s7eEXGYnnRWhhXhAETJ4+HQcObMfq1Ttw4MAleHh4F8ixW74u2PVo1gxP377FvSIy8AsMDkb9Pn3gHxSEY4cOwYmK91FI0dc3QdWqzXH27CZlu5Jv7Dt/Hh0mT0brOnXw59ixRWawJ6crgAQAe5XtSD4Rm5SErrt24fCLF9g1eDDqULH5CikikQheXj1w9eoeJCQUjZDVdx89Qr2OHWFnbY0Df/0FQwMDZbuUr1SsWB8mJtY4e3azsl3JF1JTUzFt2jTMnjMH80ePRr/27QvkYO9X6FmpEu74++MZFWirkBEc/BmjR3shMjIUO3Ycg51d0XgBI8fawAANnJyw+f59ZbuSb+zw9UXXUaPQpUULLJk5s1CKBv2I7qVKISopCQeLyAJOTEwMOnTtijPnzmHHjr2oXr2Gsl3KV0QiEbq7umLHixdILCKLtLdv30SbNvXh7OyCPRs2FJmFOjlNiheHqbY2NheR0GSpqamYMGUKFi9bhpkzl6F9+4J9zD1fF+wayyIk33lGBIsuJCQnJ2P93r0o26oVAkJCcHnbNpRlqTYUASpVaoy3b+9BUsiVaT4FBaH37NnoPHUq2nt5YY+PT5Eb8AGAPaSCE4RcSKFBEAQcf/kSFVauxPGXL3GwZ0+0rlRJ2W4phUqVGiMuLgpfvhTu3RgRkZGYumgRarVpgxL29ri0fz+MithiHQCoqamjYsUGePWqsNdy4N69e6jn5YV58+dj8aJFmDxokLJdUgpNSpcGANz2L9zhLZKSEnH48N/o168coqO/4c8/r8DZuWi9hJHTxMUFd758KfQnYt77+6PbyJHoOWYMerRpg23LlxdKlcjsKGlkBCdDQ9wu5DGuBEGA75EjcK9SBRcuXcKRAwfQqFETZbulFBo7OiIsPh7vIyOV7Uqe8u1bOGbOnIAWLeqgVCk3+Pqeh34RORGRHi11dXjZ2eFOEXjx9t/t2/Dw9sayP/7AymXLMGjQ78p26ZdRaPuPUXIoDJMSSeUPbar8yxar1AG4li6NB1+/Sm3U2ztCiURbm60SxlIDo9aHjhxh26kFZ1LJiCHDJwgCNh08CJ9t2/AhKAg9GjbEH8OHw9zICHj4kHkbLSIt27bNqtYD0KJcVP2jxFvSixBduMC+BgDU1KTZzTr2npNnamtLY1xdv/4QOjqVmdfb2rInvaYVGzDt1FiKan81XhMLxJT8IPW2iZFXX0NDMX3VKmzZvx+G+vrYvGQJ+nTsKN2BQcVrVEQJldqhZ0sczaHkq+SZlZ0KZmTkj+W7ciDt5Q4g7bDcpUvsiyipNEq1jQqGTCnsKKIeS4kEEEpKpz9/xtR9+3Dv/XvUc3XFycmT4WJtTUtTU8pPlBITlcZv37LtVMGXy2Zlk2dyAUkqKYtbspXKWnhK71urrB0mTxZDX3wdLTydsH4vo52mAnZTDRTlM1V3qHpCpTGVZozGJT4xEQsmTcLKgweRlJKCKd26YWr37tD80cSG8odQ0aREbhURnmrfXvpvYiKwdi3tGgwMpD9EfCptbR2mPX2VcnV1x82bh6CtnUhK0qZa2jDtpfXZwezjHYox7VRzTPWdZBkh6vm7T1kVel++fIwlSybj8uUTKFGiNLZtu4xq1eoCxkSeU3WcykDCF4FIe6OIb+z7pEjLsSglmf25nIQEaWdOxa+h7LJ2V1cQ4GhoiAdv36Jf8eJ0GlMqsUQBT3RwoX3OoYuU4B3VZbCiFUgkEjx5sg4LF85DQMAX9OzZB4sXL4eJiQkpdO726TT7A6pNk0v6ZobqC4nxgyhIGktQFJ1N4Al5/WaNKygJw3SV3L1ECSSmpOBFXBzKUBKMVH6XL8+2U2MiRVUPqT67alW2nfF9AwIDMXXOXGzb9i9MTU3x77/b0a1bd+nYLYEdiJ9yk+UOVW4IUWCySpUoKbtRdvEEAwKk6UV15FQFSncqoHzx4ngQGyu1HSPCXHh5Mc2amuzdStRQlRrHU3M0VlGjinFl9lQD58+fw9y5U/H06SN4eTWE7+ELcHR0gtZzdngHW1f2S1hKvJhqcyiRZbJvkydOdgvHMTGAINA3osbBn6QiYeV0pP3Ng0+f4KqlxSw634h8TSKKo5Upe8wVmcK+j1EKsVhIzFUs1Nl9sEXFrG1FbGws5s1ZhFXr1yNVIsHsiRMxYcQIaGikkm3Ls+fs3fPU1Irqfz4ROmysQzhqnz9K/82uTZcP1qlyQeV3OifdP33CylOnkFq1KtSogknJLFMFnyp/VJtDrPFEJ7HVYKnpw7whWV8g3nv8GI2bLMHZy5dRtnRpXD96FLWqVkUg0XbbGBNKzNT4MoGYO1DtM9URyL+UKqrEymncsCHO/WiFqIASHRuLDpMm4bclS1DDzQ2PN23C9mnTYE7NxIoIJUrUgpaWPl6+PKdsV3Kda3fvomKbNjh0+jTmjRuHD9euoW+nTkXuuFRmGkOqFBuhZD9yG4lEggmHD6Pp4sXQ09LC+cmTcXHqVOliXRHG1MQEVStVwrnLl5XtSq7jFxCAmkOGYMnevRjYogXeb9+O2X36QFMj6yJPUaJ69cZISIjDs2f/KduVXGfv3o1o3746/P39sHTpThw79ky6WFeEEYlEaOzoiPPULKQAExMTiSlTWmPEiKGoU6ceHjx4hvXrN8PExETZrimVOs7O0FJXx/lCKBR34dIlVKxVCydPnsDixUvx7t0HdO/eo8iP3RqVLo2bHz4gLgcvZgsSKSkpmDJlFLp0aQlTUzMcP34Zvr5n4ehYtMIUZcZGTw/upqY4VwgVoV+/eYPq3t5YuW4dhg0YgA/372PqmDHQKOJjt8blyyMiLg73379Xtiu5zpp//0Wtdu0Q+PUr9q5bh8cXL6IW9RKnAJLvAbYqli+PVWvWICEhAYVJJH3SmjU4e+cODs+bh9YeHsp2R2VQV9eEtXUZBAcXruNy3yIj0eZ//0PZkiWxd80aWFNvHoogFQEIAN4AqKZcV3KVDTdvYsn581jWvTt+b9asyA/u01PR3R13HxQuEQJBENBpxgzExMfj9urVcC9iMUh/hLNzOYjFYnz69AqoQWxnKIA8fPgfpkz5DV26DMTUqaugqcl+41sUqWhpic1PnyJVIkFhCvbw11+/48mTqzh8+ASaNGmmbHdUBl1NTZSytMSr4GCgEAmlhYSEoF337qhaqRJ27tkPc2K3R1GkYrFiSJFI4BcWhnLKdiYX2bRpDTZsWI0lS1bjt9/+x8du6ahobo5X1PbOAopEIkG7Hj2QmpqKu+fOwa2IxZb+EXJBvFeBgahG7cgrgFy+dQvDpk3D8L59sWzOHGhSp2sKMPm+w86pRAkIgoAPHz/m96PzlBcfPqCEjQ1frGNgbu6EkJB3ynYjVwkJD0d4RAS6tmjBF+syIV/WKFw5Drz4+hV6mpoY4OXFB3yZcHJ0hB91ZqCAkpqaitf+/mhQpQpfrMuEuroGrKwcEBBQuAKU+/lJj/717DmML9ZlwsnICMkSCT5nd2yngPHx4wvY25fmi3UMnMzM8I461lRACQgKQlRUFHp27coX6zLhZGYGAIUuz1+/fgEDA0N0796Xj90y4WRggHdUSIcCSlJSEvw+fECTBg34Yl0m9LS1YWVkhHeFLFblS1nIoOF9+hTKxTpASQt2AOBXyLZjVi5dGh8CAwt9gN6fwczMCWFhhWtiV7xYMRgbGuI9FbesCGMEwBRA4cpxoLKdHWKTkhBayCasuYGToyMiIiPxrRC9qVVXV0d5Z2e8DwxUtisqia2tU6FbsHN3l+4J/vSpsL1u+HWcZOE9/ApZgPJSpSojKOiDst1QSZzMzOAXFqZsN3KVUiVLQk9PD+8L2Qum3MDKwAA6GhqFLs/Ll6+MyMgIREUVrrYrN3AyNERQXBzikrOJg1qA0NLSQhlXV7wvZBuDcgsnS0v4UQEXCyiV3aXx8t8V4jzP9wU7W1tbaGpq4l0Blg5PTU1NW5h7/OYNBi9ciD/27MFvrVvztzcMzM2dEBHxGSkpicp25adJTU0FACQmJWH3sWPw6NoVsfHx6NOunZI9U02cULB32KVKJGl13P/bN0w/fhzD9u2Dt4sLnPiOyiw4OToCAN4V4Bcx8joukUhw9s4dtJgwATeePsXAli2V7JlqYmvrhC9fCm4tFwQhTb08MvIbtmxZiX79msDGxh6eno2V7J3qUdzQECIA7wrwory8jgPAmzcPsHjxbzhy5B+0bDlQiV6pLk7m5ngfFoZUSm1BxREEIS3PExISsH33btSqXx8pKSno2bWrkr1TPUQiUYHfVSmRfJ+fffr0AXPnTsa0aaPRsGFz2NgQChhFGCfZsUi/AvwiOv3Y7dTZs2jarh3uP3yI3/r0UbJnqomTpWWB3mEnkUjSxm5h375h2bp1aDNgAJwcHOBdu7aSvcs7FIthFxkJpKaSCn4iaiCXTuJDDUClcuVw9uRJjKDUMQj1TkqIhLWrnRLsYCmEAcDOnWx75nHKlCkjsWXL39DU1ISJkRG+BAbCxsoK86dOxe9DhwLUbgxK1YU4amWmzlYu8a5ODJyItIzUtGDafX2l/6YbvzLR1ZX+sI66U2mcWVBMEKpAEAT4+JwHkFURrWlT9n1cnNjOhYSzI+hQm92Mbcsy7SauxJdPJ3/76csXNO7eHa/evYO5mRmSk5MRGRWFerVr4/KRIyhXrRr9YGpRmlJqZb3xoGSwKPVBSu5Y/p2yCyYcGSmVmaTqZg6PkFQBcBKA5PNn9lsByg8qpgIl3kINLKn6xkrPTPnxz9GjGLt2LVJSUmBhaIjAiAjoaWlhQMOGmNW5M0TUDhPKFyq/KZllKm0ocQvqOIO8sctGGdjAQJrspMo9sRMhuaRb2u/OFapCV1cXJ6/ewKVLXlmuHdifWOSkGhFqSzslF6Xo9ek6k4TERDQbNgyX7t6FkZ4eNNXVERIZibLFi2PvtGnoVLs2XR+I+hlfmR0a4TkhjE5lETWnZImOP34s/TfbeOHR0VJlOULhUZJDYa+qVavgxInN+JqSAitGu6AWRASyJib/OhK2MiNZl6m8pQpyurJ2/upVdB06FN8iI2FqaonIyHBIJKlo1Kgjfv99IdTU9LP0YwAQam7FvLVHbXb5FsB+gSe6f49tp8oxVU/k7WJ2CpJi8fcfFtSxIdlCPABoAnA/fBhnExPRoGon5uUl1LOqtgEgC7iWJOs4Jx5spdx0rmSA6pIyF4Phwwdh27ZN0NTUhr6+EUJCAmBpWQy//74U3bqNgFYcW4nXzZIYc2mWZNspYQ4fH7adUqv39GTb5SIQsUR9kRMfL81vVv9AlYNMdbNKsWJITk3FlUOH4K3HUHns2JF9H0phjwotoKjIAbWAmK4evPv0CU0HDcI7f3+Ym5oiMTERUTExaFC7Nq7t2YNSRkaAhL2r6PpDtqIl1dXWZWjSsGwAPVwk55kvZd81u0XTsmWlnTklEpLDSVGVcuVw9sULCNHR7A0IRF/4OYKdZlRzXLEi205dzyoimedze/f+gXXrJmP0aAEmJuYIDg6Anp4BOnf+H4YOncG+MUBK2eokKbYjz8CJPX61tGT3A3qav7irrXhxaYJR9S0H4+xyTk7QPH4cZ1NSMNox66VUsaEEnBMlbFEHI01CjVOioO/p+sjY2Fg06dIF12/fhrGxMdTV1REaGooK5cvj0L59aN2mDSLj2P58ULCaUFMTahivSHi4b4bFAQBRyOZockSENF2oASNlzzSYqaKnh323buHb1aswYYlwUJNyanxCzc+oTpvIWwNNYlNPuvJ98uRJ9OzTB5GRkbCytERoWBgEQUCXdu2wYOZM6FhaMhtZG11iDP+Y2GlIzbdkR2+zQM0RqIWrnCpBpyPfRScAoHfHjhg5fTqCq1SBJTlLVD3evXuNDRtWoV+//8HdyQZfQ0JQtWJFtGnWrMgrz/wIc/MKMDNzR1jYVrAW7FSZlRs3IigkBH8vWICw6GgkJiaia/v2KFO6tLJdU2l6A1gL4DIAbyX7ogiJSUmYvHEjGlSqhMZlyiDw2zcUt7BAN09PGOjIJpIF+E1kXqGnp4d27Tpg27atsLefomx3FGLf2bO4dPculvz+O1KjohARE4MWNWrAo2xZvmP6BzRr1hk+PqOw88gR/N6/v7LdUYgZS5agmLU15k6YgEcf4qCrq4/WrXvB3LxoKz5nR+9GjTBl0yZMiYqAoaGxst3JMU+fPsaWLevxv/+Ngo6OA8LDg+HuXhN167aEOjXZ5aCmoyNKmptja2Qke8FOhVm2ZQu+RUXh7xkzEBIdjZSUFHRr3RqleTzSH9K7QQP8e+4c/tPVRc0ClOfx8bHYuHEaatZsDg8PL4SEBMLe3hnNmnWFrm7B+R75jbGuLlq7u2Prf/9htLKdUZAdBw7gxp07WDF3LhLFYkRGRqJVy5aoWaMGH7v9gG7lymH82bPYExyMIcWKKdsdhZg6YwacnJzQv29fBH78CGMjI/Ts0gWWFuzNSYUJpYxU2jdvjhHTpuGf27cxo359ZbiQY759C8enT+9RtmwFbNnyN/T1DTBr1lI46BGrqZwsiEQiuLh0QljYQkgjm6nugEkQBLx4/Rr6enrQ19XFrsOH0btDBwzp1Yve0cHJQi0AxQCsAuAFEPtMVIP4xEQ8ef8e5Rwdse/KFUTExGDhb7+hjJGRsl0rUHTo0Ak7dmyDru4ZmJmp9pHCjwEBiEtIgLO9PdYfPIg6lStjXJ8+7F2uHCbGxqaoXbsh1u/Zg6E9ekBbS3VFGlJTU/Hw8WM42tnBPyAAN+7exY7Vq9G9fXs8C7dRtnsFhk5162Lc2rXYvXs9Bg0ar2x3fkhoaCg+f/4Ed/cKWL/+b5iamsLHZzE+fSqcAanzApFIhM6VKmHV+fPwSU6GnQq/mBYEAc/evIGxgQG0NDWx99Qp9G/fHoO7dOFjNwXwrlAB5kZGWBUaqvILdgkJcfDzewpnZ3ecObMN8fGxGDp0MdzdnZXtWoGiU6VK6LJpE65cuYK61NZQFeH9x49ISk6Go709Nu7ciUb16mH04MH0Li9OFqz19VG3eHH8ExCA/jY20FRgl1d+k5KSgocPH8LZ2RmvXr3CgwcPcHD/frRr2zb7kwWFDKUs2FlbWmLS8OGYs3o1elSoAGeZMpEqERsbgX//HYXbt/cgMfH7Ns0JE2ZDR0cHAF+wU4QKFUbi1q1NAIYDOKFsd5icP38e4yZOxMN0581MjIwwtHdv5TlVQBEBWAGgM4CjAFor1x0mKSkpmL5hA/7x9UVEuoa/nacnyhQvLt1+zskxzZu3QIMGDXHt2kDUqvUWYrHqTe5e+vlhxPz5OHfrVppNXV0dvsuXK9Grgsu4cQvRsUNVLF63DjNGjFC2O0zWbtmCeStWwP/L9yO6ZUuXRlvq2AeHxMHKCmM6dsTy5dPQsmVX2NraK9ulLISFhWHUqJHYt28fktMFUvfxWVxo1ePykrFeXth68SJGff2KA8QxemVz6vp1TPjjDzx58ybNZm5igsGdOyvRq4KJWCzGsoED0WfpUvQ1NUUjAwNlu5SFlJQk7N07FZcvr0Ns7PdjhA0bdkexYnyxTlHaV6iAOs7O+O23AXjx4iXU1Nhhh5TJ01evMGL2bFxKN3bT1NTEse3blehVwWVxw4aotXEjVn7+jPFUrDAlIggCVq1Zg0XLliEgICDNXqlSJTQromM3pS2rThs1Cjrq6ii5YgXufSFi3SiRdev64/79o5g0yQczZiyGsbEJmjRphXHjfhAHgUOipWUEwAfSyGaqV9k+ffqEFq1bw9DAAL4bN6JhnTow0NfHhiVL4Obiomz3CiSdAHgCaANgh5J9YTF/2zYs3bULg1q0wL8TJ8La1BSuDg7YMXmysl0rkIjFYixevByJiZ9w/bodkpMjlO1SBpKSk9F0yBD4f/2KLXPmYFCHDtDX1cXMwYPRQsXfKqsqpUu747fOnTFz5UpMX7FC2e5k4cjJkxgybhy8PDxwaONGlHJygqW5OXw3bYIuFYSH80Nm9e4NiUQCT08HvHjxWNnuZKFXr544c+YMfHwWY8YMHxgbG6Ndu04YPVq1dwSqKqZ6ephlbo6DMTFoTwVgUyJvP31Cq1GjYGFigsOrV6Nu1aow1NfH1vnz4ayCE9GCQK8GDVBFRweN373DfhV8cXngwEycOfMn2rcfjkmTNsHExBJOTu6YPHmzsl0rkKirqWF5+/Z4+/YtnJ2dEJtdfMx8Jj4hAY379EFIeDi2r1mDvl27Ql9PDz6TJqGRl5ey3SuQVLW1RR8rK0zw88M8FVRW3bt/P0aNHYumjRrhwL59KFmyJGxsbOB74AC0i+iOaaUF79DR0cGSpk0x9MgR+Fy6hEM9eijLlSx8+PAQd+4cwpAhWzFsmHR31fDhfLD363QD0BPAaaja0dgFixbBwMAAx48ehX5MDNo0aaJslwoFfwNwhzTXu0N1jsZGREdj+Z49GNGxIxYNlCoE9mrUSMleFXzc3d1hZOSByMjriIy8BnNz1VFY3XzoED4FBuKZry/cihdHn9atsXb6dGW7VeCZP3Ys/tq+HT5//YXJQ4ZAV4ctGpDfCIKAmYsXw9vTE/+uWQMkJaFts2bKdqvAY6Cri3Hj5mPhwgnYsmUlFi3aqGyX0rh16xZOnTqF3bv3oGVL6e6qCROmKtmrgk8/IyMMDArCoZgY+Ccnw16Fjsb6rF8PCxMTHPvzT+gYGqK1iofZKQiIRCL8bW+P6q9fo8+nT+hgZKQyMcGio0Nx5swqNG8+DgMHzgMANG/eT8leFXyqFi+OcuXK4enTp7h9+za8vVUn+vTanTsRHBaGa3v3wqlMGfTo2BGb//xT2W4VeJY4O2NjUBCmvX+PsXZ20FaRnZWpqamYPW8emjdtio1r1wLq6mjfrp2y3VI6ii3Yff0qPTNMKVRS56BLstW0us+di6FHjsD3xQsI3bp97xAIdU0DQk3L2jprnAUqrqyRPqEMmu5IXNf+c1HSyQmrfFpAXZt40xBFKNhQamtUbCRK0YmSPqOOdBDXP7/LvlyelNm9SAkJkYqf3L6d9TNKkIYSS6laVYzPn6cgKGg+TEwmw9l5DwBShBIlS7IbD0p0hdIvocU7pfcPCfmKjZs2Yfz4uYiOM0JIEjt2WQrxvSwd2Ue6jah6QuU5S4KMUomlyhOVCPIKkY1iKCSSH6uRUZ8RO5TKXbmS9nsApHHtAADXrrHvU6YM206lA6XkQ7VFMnWif/bvR2JyMiYMHUrfmyrIlFQclbaKKuBRQdCpHUFUW2EpU66MJ9S5ZGi9fgItfX06b4n2WINI+zZtZuDff5vg8eNWmDNHAAC88WPXZRdqB4Si5ZtqFGQIgoAFGzeiS4sWcCtbVnGVYipPiHKm85ytAlqFur824Q/R5+nrZ03Phg2l/8bE0KrnaRcAZDskUa/AtKc7lZABl8rOcHJ0hN+HDzj9+DHatWol/YBSybZkK6qSR9CpvKLyRFYWTp0/j4dPnuDSwYNSG1F2rBUQGKbC5HwNZk9mqRfBRoQqIVmXKSk6eblPzkZtMDERUFOjHSLyJNqWLa409vp1LASwb98m7K2Rrs0mjiBGWrJ3qX9mFJGnT9kuVq/OtqcvHrNmLUCpUmVQu3ZHsgugRFzj4kyYdmrI5eDA7vctLIl+gOqrqDg8vr5suzwPs2nX8fWrtM9gtY1UZSbsampqGGFqilXh4ZgTFob18vJLjWUohVuqAlHtN9UHy+q+f2Agtp84geWTJ0PH1JS+P9Vn32fLdnsYEn2tK7vehiRlLQtU81RWn9jN8pQYqMr7QiotZPhJHGEgMYSzF9G2EOOTFwHs8W61tm2BxYsRJ5EgrE4dmMvHH8QRRJf//Y9pTwQ7tilVr6gplNz9hQtXQV1dhKVLx2RRiZWjlUCouxKZkkqof6vFsQXGosE+JmyQwm6HDXSpxojYsSpv77OboMnH69TYkEogonEcNmwOhg5tj3bt2uPhQ6lqNjWNoYbqOtoC+wNqzkyNiWQKo6mpqVi8cSN69+oFp7p1yXFCMtgvEaj+hGoSFBzqkWsNijRp8mYrW/0jdXXpDzWppdoIol00uXMHpgDCAVy5eRON5V+SSjSqclJzB+oLUXaZ/0eOHcOLly+xZdUqIC4OX5PYfbOpKbvtirDMaqe6WX2nEky7hS5R96i5iaJzB3k/rsBuVqVGGjQ0MMCQ7t2ho60NQSAquRK4dO0aurZvz9XD8gBb22kAAC0t1YkzcffuTSQnJ6NDh57KdqVQskH27w+WAfOdS3fuoGHNmrCmJsicn8bZuREsLcvC2Vl1hCc+fvmCj1++oGebNsp2pVBySLZCqKlCO28u37wJO1tb1KtdW9muFDrM9fTQu0oVmOrqqszYTRAE3Lp1GW3bdodYhYNoF1TmyxZ1i6tQHb927x5SU1PRQ/6SgJOr/NmgAQBAoiJ1HACuX7+Ehg2bwdRU9WKfF3QaNWoDBwcn1KhRT9mupPH69WsEBgaiZ08+P8sLjsvWOVRjb52US9euwcXZGdWrVFG2KyqF0kc1/Tp1QnxCAlZs2qRsVwAAycnJCA4JgV0BkzouKIjFOjA374/Q0HVITPygbHcAAEFBX6CmpgZLS+INOOeXaA9AF8BUAKoy7PsSHAw7K/ZbVc6vIRKJULXqYLx/fx7v319WtjsAgC9fvwIA7KhdLpxfwr1sWZRxdcWcRYsQl81OkPziS1AQ7KmdbJxf5rcaNRAeF4e/b9xQtisAgPj4OERFRaqkEEZhQF8sRjdDQ/z17Ru+ZLejM58I+PoVujo6MOUKkXlCZ1dXaKmpYdrVqyqzMB8U9AU2NqopflLQEYvF6NZtMC5dOoEHD25l/wf5wBdZjHs7FRW8KejUEIngBGBWaioSVaSOfwkMhB0fu2VB6Qt21StUwPhBgzBh4UJcv0uc38xHNDQ04OjggDfv3inblUJLsWKLIBYb4t27TpBIlD/wK1HCBampqfj06b2yXSmUmABYB2Cb7F9VwMXBAW+os1GcX6ZatSFwcKiDvXs7ISaG2EKej7jIjle8oc7fc34JkUiELX//jSfPn2PsVNWIGeZSogTe+PmpzESzsFHHyQnDPTww8vBh3PX3V7Y70NXVg5WVDd6/f5P9xZyfYpmVFdQBdPn8GakqUK9cHB0RFx+PANkLGU7uYqWnh78aNcL6x4+x7dkzZbsDAHBycoGfH6/jeUW/fqNRvnw1/O9/HRARQZyHzUdcZKJ/b97wPM8LRCIR/lVXxx1BwORUImRYPuPi7MzXYBgofcEOAOaPG4ealSqh0/DhCKTOB+cjNatVw4V0sbc4uYuGhjmcnfcgLu4B/P1HKdsdVKhQFWpqarh+/YKyXSm09AAwGMAoAP8p2RcAqFmhAm48fIj47GL6cX4KNTUNdO68GwCwZ09HJCt5R4almRlK2Nvjws2bSvWjMFOtShUsmzcP/2zciK07lK8LXbNKFYSGh+Ppy5fKdqXQsrx1a1S0tUWHrVsRQgWJyUcqVarJ+/E8xEZDA7vs7HAzPh7jVWCRrHr58gCAC7dUYzdQYWRA+fLoXbYshp49iwcqkOdVqtTErVtXkaRobGBOjtDU1MSqVXuRkBCPESO6IFXJizgODg6wsbHBhQu8Xc8rPMRiLFBTwwqJBHtUYNGuZtWq+BwQgNdv3yrbFZVCJRbs1NXVcWDNGqSmpmLmH38o2x009vbGg8ePVU7aujChp1cNDg6rERLyN/z82AHa8wsTE1OUL18Ft28TQgicXGElgPIARijbEQCNatVCfEICHrx4oWxXCi36+lbo2vUQPn26hsOHtynbHTTy8MC1e8ptawo7QwYMQO9u3TBy4kTEZRcUP4+pV6sWNDQ0cJVP5vMMDTU1+Pbti5ikJMw9d07Z7qBu3Ua4f/+W0l8QFGY8dXWx1MoKK8LD8Ux2XE1ZWFtYoHzp0riqAqdzCjN/N24MFxMTjDp/XtmuwNu7MaKiIvHiBREYn/PLWFsXw+rV+3D9+jmcPbtHqb6IRCI0atQI165fV6ofhZ3RYjE6i8UYlpqKpGxE3PKahvWkMRSv/6cK2ztUB8VUFeLiAJGIVnOj+Ewo4aRTLLMG0LNBA+w8cwYp1apBnSEv/NWOHYDQRsx460Mp0oQTBTGdmk50cjJEIhFEBgaITMmqQAsA0GXbjcTsSUq0OVuJRGzJtuslfWM/l0pLYqeQnR37/nIRmOzCDX37JhWYY8X7pNSDqOKRWUg0JWUAhg2biFu3DsPWNmveUoJ2lBgL1cZQL/7li/eCICA8PBpWVmK8fUsLqCkqkHM7hS2L3qhlNjJY6aGcoRKZkt6SO5nTSTQVtJt6LhVvYMiQtF+1AAx/9Qp9L17E58OHYceSEG9MCBUQStMKSz3J7NGyt0hiXV1aYYtSJKViaVAFQVFlU6pSUhUiO+W97DrfpCTpD6X4R/09oSTVtWuddP/zwP37NXHr3A5Mbu+R9eK3xL2zU1b6ieujExMhVleX5oeiir5UfaDShpIOo9S9KP+J+l/NMWs6pJpaAKCrRBrR0T9Ugi7rwA4NcBnsvmTfqYyKee6VJ+HfXbtw+dEjNGOpR1NpoGiDT10vawPjvn1DamqqtI4bGiIeOuzbE7dh9W9U80eJ8VHF42uCDdNulcBWJaQ620RXqaJvYnaZLlcTpDptorwaiNkvLUN6j037XQtA689h8D1/AhPFxZiCDzYJ7J052iWzxhGVnV7PApX26atOXFw0RCIRNDREZBVv2pRtp4R4qe6But6CGihQauRUXaS+sDyUQ3aDN3lfz6pvVFtPtXOZVF+HpqRg6tatOLJ0KcoaMZT6/vmHfR+q71S0XZf1qYIgICYhAWItLamNSktqXETFNKX6AeI+mozHGomJukz5mJ2CczY7WJ2sYmFoqAYksBudw5fYiorUEHNN3KIM/zcp44rLl/+HYE1NWLLaZEJxV6tcOfYD9NlKq1pi9mK7nra0bIqFCACAmTGdTQHh7O9K1WUrXcWOdxukEPOzT0Q7bccW2ZNYs/tUHXleU+U2y40UbEOqVs32NrVqNUCZMpVw585hDBnSPcu1pCZjNsrOOb0+Ft/n2N++RQMQIzZOBIk6WzH09WP27anhMdXUUVNsqvmm7kPp2bGmSvKk+cGwTEpKivSHcobq36k8GTky7VcRgLGBgdi7Yweu794Nb9YXqFiRfR+qXafGbkSmRMeIAAAhSdI2IFHdANHqJrAyJuon0QlbMAZeFlR5jSAGCsFE40IVEGqwR5V7ed3ONtO/oxI77OS08fREUHg4HlE9SD5x/cYNVKlSBbpU687JFdTVNVChQgs8eXJSqX7ExETi48cXKF++TvYXc36JNo6OEACcTkxUqh837t2DlqYmqsmO1HDyjoYN2+L0tWtIUfJbuxt37qBOjRpK9aEo4ODgDkvLEjih5LAS/925A4lEgjoejIViTq7SrFlb+Pt/xJs3yt2xfPfuDVStWgvq5GySkxtoq6ujqb09Tig5pERQcDD8Pn7k7Xo+4OTUBoKQirPEi7r84vqNGzA0NIS7u7tS/SgKNGzYBufPn1R6HNhbt66jdm0+P8trqllbw0ZPDyeVHJrs1i3pbkoPD8YL3yKMSi3YVXV1ha62NvY+eKBUP8q7u+PFixeIjibekHFyDTc3L3z8+ABBQcQb33xAX98Ilpb2ePWKH6vIa4y0tFDJ3Bx7lTzQL+/qisSkJDyldhpwco3q1b2QmJSEoxcvKtUPdzc33H30SKk+FAVEIhHKlPHCkYsXkaDEhflyZcoAAO4SOz84uUfVqjWhpaWFo0f3KdUPNzd3vHz5FPFKPo5dFPCytcXtxER8UOKLGCsLC1iYmfF2PR/Q1bWCiYkb9t2+rVQ/ypcvj6ioKC5CkA/UrOmNmJhoXLhwWql+lCtXHvfu3VGqD0UBkUiEevb2OBQUhCQFdn7lNmXLSjdS3L/P8zw9KrVgp6utjXFdu2LllSsIV2L8uA7t2yM2NhaHjxxRmg9FBQ+P3jAxKYYjR3yU5oNIJIK7uweOHFmr9ACrRYFplSvjTFISbigxaHCD2rUBANt9fZXmQ1GhQoXqaFS7NmatXq1UP5rVr49b9+7h7XuuBp3XtG07CV+Cg7H50CGl+WBnZwdLS0ts2b5daT4UFQwMDPHbbyPxzz9LEROjvBedLVt2RGRkBM6fP6E0H4oKA0qXhqlYjAXZnsHPO8RiMWpVqYK127YpfRdQUaBq1Wk4fP8+HihRbb1pkyYAgO0qIGxU2KlWrQ5q1aqLRYtmKtWPBg0a4+rVS/jyhTiOyMk1ptSogXdxcdihxPikTk7O0NfXx86dW5XmgyqiUgt2ADC0TRskpabimBIlxPv/9hsA3iHkB5qa2qhb9zfcv38IEolyFsvev3+G8+d3QxAEhITwDiGvaVuiBIqJxTigxF1205YvBwAsXb9eaT4UJYb37InHr17hjZIG+pFRURg2eTIA6dFYTt5ia1sKjWvXxv7Tynszv2vvXgQHB+PSlSt8Mp8PDBgwHHFxsbh48ZRSni8IAkaP7gcAOHxYuYHSiwJ6Ghrop6+P/XFxSqtf9x8/xpEzZxCfkICQsDCl+FCUcHHpDAsDA+xXYh86fuJEAIDP/PlK86GoIBKJMGDAMNy/fxtfvvgrxYfQ0FBMmzYBAPguu3zA3cICXmZm2B8YqDQftm3bhJiYGJw5w1+8pUflFuyszcxgoaeHD1TwxHwgXraQcPrMGaX5UJSwsyuHhIQYxMQoZ8CVmPj9+MyhQ2uU4kNRQiwSoay6Ot4rcTdjVLoAznwyn/e4ywKxv6cCtuYx6ePnjZs9Wyk+FDXcS5XCeyW+pY1IF3D72fPnSvOjqGBn5wB9fQN8+qS8Hazx8dLg2so+mltUKKehgXCJBNFK6kPj073027Rrl1J8KEqIxepwtbXF+5AQpfkQm+70FR+75T1ublLRkI8fldOup6Z+H7vNmjVFKT4UNcoZGOBDdqJGeUhkZETa7x8+8BMxchSLzBsdDaSm5kCGLhMKqiK5JSfjyZUrwMuXGexWcrWkzLAk2qhrCXUVQfxdsfLcufOoW7cOnj17Bi2tVKgx1CwpwSZBm61EZwDFOhZBl62EI6IeTKiu2Ouzn6upKVVjyS5MX0gIoKPD/r6UMAy11vp/9u47rKmrjwP4N2GvsIcgiggoinvj3nvvveseVVtXrdqqta1VW611793XWffedW+teyuKojJkk7x/BBDkHkKEJCDfz/PkEU9O7jm5566ce+75iQLb1KtXGHPmAFZW11C+fO3kdNHxQhRB10Qw0XSBvNLbmYODCQCgePGy8PY+jTp1KiI6+pEwqpBoDnXRQLFOaQMrAQBU7h6S6bJYifmeRCtNtB1oiiqr6VHzqCj1/ip6XFW0X4miWSXOI/WpwgB2xcWlbeSrglBPTZpIp2sZzS0pYs+cn39GnEqFZevX49q9eyju7582ryjCkbbR/kQbiChapihMomiHENUnKYKSpnnEEhLUEY5E9Rcd7wXr3tcybSfN/LvVYWJigUV73uOxslByet86gpOx6CCiIfrvp2Ls1FEore1ccePGPRQt6gOVTCaO3KvtZPWi+ZtEocNEkQBF0dxE60FimzJKDD9mpCGaIPLlA2xsxO0t2Mdj70lnFx0vC58+jUfPniF88GDYpFyvgwdL5k9o1FQy3ShWMB+ZoK0S5Orjet9BQ2GusEOvXj1w+vJV2OeRjowniubmayfxo1TU3m+l29tE0N5Ka+kohogVLF8QeTRp89A43W7Rouo213a+McG25KyQ/r4FC/rjxo1raTbPV5Zpo8ECgLVEdaxMpaNEGjuZSKZ/3IxlOHz4JKpXr4AHD+7DziYeMpksTf4ESEQnh3h3EK0y0XYTo5Sup5noA6LzgGjHSoqYruk6PCREfbyROraIzhlaRp/3TxzVdu3ZM6QK7SIKoSu6aNR2eozE/JVLlsTxv/9G1bZtcefePe0bUXScFoV9FpzLbY0lrqvitYwGK9oOks5VGuaUijG2QoyxFSIFq1K0+T14IJ1eo4Z0euwNd5ySmj9ONHpetC6dpKPEio7rcfHqfXnunwsRFR2Lv//egHPn7sHLyzdNXlGzijaz0LC0xwkAsLSUrqPJS8FoM8F+JYp8C2NBRZOO95r28Vu31KFvRdeGosCJgrYqWDjttnnpRUEYG5tgx47rUCo/BgFInFUmDXNzK+k3BGwipEdyWbqpl1OggBtu3bqNwoULITY2Whi53NpaulzRqhEd6kSX66J00aElv7t0m6uM054fknZtjdPGGRurX6Jzg+g3i+jLCubw9n/0CH8BiN6xA6m2iK++kl6OaB8XnQcEjWKTeGwc07cbFEbxGDx6NG6cPgBv776S+a1E27c21zmi38yia29t5/YTHYySlq9Fx2i2G2EHAOXMzHDOgJNV29vbo1mz5nB3d5fsrKOsVaBAIVhaWuP6dcMNdy5Tpjzs7R2S7yaRbpWTy3FPqcQ7A90hNTU1RcNatQAAeUSdkJRljIyMkS9faTx6ZLh9vGDBgqhRoxaqVq1usDrkJuUUCqgAXDDQHFcymQyVKql/VXh6Ci4oKUsVL14OV68abh93dHREkybN4e1dULKzjrJWAAAzAIZ8UC2wTBlYWVqiiG/ajhvKeuUKFMDN58/xwUC/0czNzdGgQSMAgJOTm0HqkJuYmJghf/7iuHfPcHu5n58fKlWqhMqM+K4X5QDEAzBUKB+ZTIaqFSsCAPIm3oimbNphV9nMDI8TEnDTgJPS37x5A0WLFjVY+bmJXC5HqVKBOH58t8HqEBz8Cu/evUXhwmxzfaiceBd1jwEjzN24fRvOjo5wdnQ0WB1yEx+fyrh9+xDi4gw3d+F//92Avz/3cX3wt7aGvbExdotGjujBzZvquXB5LtePMmUq48GD23j8+L7B6nDzJvdxfTEBUAGA4a7cgCfPn+NDZCSKssNOLyr7+kKpUmHftWsGq8PNmzeQL5/6EXzSPX//yrhyZT/i4wUjBXVMpVLhxo0bKFKEx3V9KA7AGoAhZ5C7kfiEZdHChQ1Yi+wlW3bYNbS0hLuREf7U+JyH7ty4cQNFi3K0lb60adMX588fw507hrkIuHVL/cOuSBG2uT4UkMtR28gIcw3YKX/j9m0E8GSgN1Wq9EZExBucP2+Y+aVCQkLw6tUrHtf1xEgmQy8PDyx49gxx2j5GkEWuX78OBwcHuLlxJIY+1K3bHI6Ozli92nBzwd68eZ3ncT3qC2AfAImHJPXieuJjXQGFCmnISVmhsLs7An19MffAAYPV4b//+PtMn+rU6YOQkOc4e3abQcp//vw5wsLCEBDANtcHUwDdAPwFwFAzjd+4fRvubm6wFz3+mwtlyw47M5kMLS0tsTsqyiCTigYHB+P+/fsoXry43svOrWrWbAoLC0uDjbI7d+40LC0t4eXlbZDyc6MOJiY4nZBgkMdilUolzly6hOKCOfYo67m6+iFfvtK4ccMw+/jZs6cBAMWK8biuLx3c3BAaH49/RXOo6NjZs2dQrFhxPh6pJxYWlqhduxmOHjXMPv7s2TO8ePGc+7getYR6pJ2hRtmdvnQJdgoF8ubJY6Aa5C4ymQwdKlTA8du3ESGa2EuH4uPjcf78OQQEcB/XFy+vYvD0LIILFwyzl58+rb52429y/ekA4DWAiwYq//T58yjOJyNSyZYddgDQ3NISD+PjcdgAJ4QVK1bAyMgITUQT3VOWMzU1Q5UqDbB581Ik6Dl6aFxcHNavX4lGjZrDWNtJ5+mzNTI2hhzAMgOMsjt4/DiePn+O1o0b673s3KxEiea4fHkbwsKC9V72ihVL4e9fBL6+0hP4U9YrrVAgr5kZFhsgWuzz58+xd+8etGzZSu9l52Z16zbHvXv/4cKFU3ove9WqZTA3N0e9eg31XnZuZQWgLoAlAPQ9jjYmJgart2xBqwYN2CmvR01KlUKCUomVJ07ovezdu3chODiYx3U9K1++Of7993+IiJAO+qdLy5YtRenSpZE/f369l51bVQTgAmCxAcp++PgxDp84gVb8fZaK9lFi4+PFUS9EnWvPnkmni8LMrF+POioVyvbqhcnm5qj111/qdFGEkhkz0qaJ5sYSpCcl37hxAz/8MBm9evWBnZ2TMHCTqF9HNL/227fSFxOiYIXOxoKDoqhzQzSCQVAh18RoRhYQROBLZGsrDjR05Ih0uijIpWjdJAUGrVFjLPbvL4eFCzeicuWOqFJFOn+oqXQEXdswwY9CwTozNlfPXTZlykQ8fHgfy5athbGxODqWaDCWlpsarl+XTndwMEuT5uEguATWNjpOUpQ3TREkY2MBmUy8gYuiy4ki3YiiFi1eDHcA3efPxy8XLqD/3LmwNDMDRI9ZiCKQCR5pVUF88f727Vv0HzsWlSpVQmCTpsB7wb4m2mBFO63ouCh6HFC0bkT5RZGYRFHnkmiKQnT9ujoUtKjNRRF3tYiKm/RVmzUbhP37f8XRo7+hc+efxXUXbd+CdRAVLx2Z0cJUPXpzw4YN2Lp1M5YvWwZzMwDhgrqL2lbb6K6idNHxW9RGojaR2s8zGgk6JEQdOVjLx0RFT6MIn3adMgVyAKM3bsSwmTMxYc4c+ObLJ9yvjB4IHqoT7SeCY53SxQMJCQno2bM7nJyc0LFjFyiVgIe79Eje5y+kjxVOTs5p0szCJCLHAuL2E+w7okjnMYLo8KJ1nLR5aLzPFBMDmJiIM4r2N1HBgu9VwOUDerWvgd9nFcGi+d+jzbbER6hE14ZhEvuD4BEYM1Pp42ucUh0Y7PLly/j112n46qv+cHBQ4LkgQJ1oV9Y20J1oOaLLXXNz6WOUk5P0yDDh9K6J6R/i014vpBIaql7v2tz0Fl3wiirz/fcAgLFPnqDq8uXY1q4dWhYuDIg6chInEk9DtP+IQpsmbsdjpkzBi+BgDO/bV50mahTRY1WC7Thpm/qU0lx6nZuZShxbRNcsonOAKD048eaWhuN60gxColOY6NJNNKf7KUF/+y2HrgCAgGIXMHbrIbz2XghjYzOMjxwv/QHBhbOZaJsSHO9NLC0RHByM4cMGoWb16qhYqhgiBff2td2MbS0Fc7OJ9h3RyhQcL+Mgve9HCC4xlYnbX/gHDfu4ubn6JYxeLoh0KcovsTGULas+PuXPPww7d87GhQu/Y+TIScLgmiW8QqXfEF1HCtalDOp9asWKFdi9ezc2rF+vThPs46LLGdGhRdSEohh0olOnyYvH0m/cky5YJnVMc0h7rSHJz0+9g4uuL0VfVnT8E23fv/wCEwCjjhzB+L17Mf7bb5HP3l58jBIdd0W/idKZuzwuLg7dBg2CR5486NCyJQDACoJjn6j+UutB27DAou8k2hBEv61FG1TSNZem3+QpZNsRdjKZDN/36oVjly7h4Dn9Raf59tsR8PDIi59++kVvZZJawYJlUapUI2za9APi4/Uz6uru3TuYOfNnjBs3CaVKldFLmfTRuJYt8SY8HH/t26e3MqdPn47g4GCsWrUactEJhXTC2toB9esPwb59f+L9e8Ev4SwWGRmJocOGoU2bNujWrZteyqSP+jRvDlcHB/ywZIneyty4cQMOHTqIZctWwd5euhOMdEMul+P7MWOw7+BBnBD96s9iKpUKI0YMhY+PL374YapeyqSPquTLh1peXph89Cji9TRf5fVbtzB78WL8NGYMivn766VM+qhGje8QHv4cFy7o77g+Zfp0hEdEYMXixRxRqWfOzq7o2rU/liyZjXfvQvRSZlhYGEaMHIkuXbqgbdu2eimTPhoYGAhbc3NMOXhQb2Wu2rgRJ06fxpr582Fjw6AyKWXrX6tNqlRB5eLF0XL0aFxIjBiiS1euXMH+/fswadKP3FAMpG3bH/Dq1X38/HMTxOshgujcubPg6uqGYcNG6bwsSsvb1RX96tTBt6tXY/3Jkzov78OHD5g3708MGTIU3t6cr9AQGjX6GmZmlpg0qSrevtP94xWrVq1CSEgIfvn5Z17kG4C5mRkmf/UVVu/ejfHz9BOM4LfffkGjRo1Ru3YdvZRHqbVu0QJlS5dGk7ZtcU00pDwLnT17BidOHMePP06DpWi0IOnUjzVr4npwMFpt3AilHualnbFgAbw8PTG0Vy+dl0Vpubj4o1SpHti5cyhu3tyi8/Lev3+PhUuWYOSwYfD09NR5eZTWgAHfQiaTo3XraggPF4yky0JLly5FREQEpv/0E6/dDMDK1BQTatfGorNn9dJpp1Kp8MucOWjdtCmqVqqk8/JymmzdYSeTybB71iz4enqizdixCIrTbUjpf/7ZBltbWzRv3kKn5ZCYt3cZjB69E9evH8SPP+q2E02lUmHXru1o06YDzDU9Vkg680evXmgfGIg+8+fj/GvBI2dZ5ODBg4iMjESPHj10Wg6JKRRO+OGHUwgPD0GHAQMQq+M5DLdt344aNWqgQIECOi2HxPq2aIFpAwdi2vLlWH/4sE7Levz4Ma5evYKuXXvotBwSk8vlOPDPP8iXNy9ad+mC16Jn1LLI9u3b4OzsjIYNG+m0HBIL9PTE1vbtsePOHYy/cEGnZSUkJGDHgQPo3LIlTEykHzck3WvefAEKF26GTZt64Gqwbuel3bt/P2JiYtC9SxedlkNiLi5u2Lr1JIKCnmH8+C46H1Sxbft21K1bFx4eHjoth8SGVK6MCbVr4/t9+7DlzBmdlnXn3j3cvncPPTp00Gk5OVW27rADABsrK2yePh3RsbEYIXpoPoscO3YE1avX5AWAgRUvXhfdus3CkiW/49SpIzor5969uwgKeoHatevprAzSzEgux6J+/eCfNy+6HzmCBB0+UnPkyBF4eXnB19dXZ2WQZm5uPvj66//h0MmT+GvlSp2Vo1QqcfToUdStw5FWhja6Wzd0ql8ffWfOxGsdRo09duwoAHB0nYHZ2tpiy7p1ePfuHb6dPFmnZR0/fhQ1a9bmFAcG1sTPD9Nr18b0q1dxWocdODdu30bIu3eoW7WqzsogzYyMTNCq1XLY23uhxz//QKXDkZVHjh1D4UKFOLrOwHx9/fHnn+tx/PhObN26VGflxMXF4eTJk6hXt67OyiDNZDIZJtati1YBAeg1bx7ea5ojOROOnDwJIyMj1OJxXVKOuLrJnycPJvfti/WhoTilw43l6dMnePFC/9HsKK0GDYagWLHSmDr1G8TpaGRl0nKjotIPvEG6Z2Vujrm9euHmu3dYpMPH31+/DsYj0WTQpFcBAbXQrU0bTP39dwTraASOSqVCZGQk3uuwg4gyRi6X4/eRIwEAE5Yv11k5oaHvAUAvUypQ+gp6e2PC6NFYuWEDLly+rLNyHj16iFev9DMnJqVvZKVKKGpnh5Fnz+rs5ltU4kThMQaIME+pmZsr0LjxH7j06hVWXrums3JeBQfjIa/dsoVatRqifv32WLBgMkJDBYEtMkmpVCIuLg6hobp/9JbSZySXY07z5oiJi8PkjRt1Vs670FAkJCQgIUEQTSaX0y5KbBJRJBLBCLj3zs4YuW0bfm7SBE4pQxiJom1IRDTp1aULFk+fjm/u30eama6kIuGIQnoKvHjxBvfv3wdwH5GR8TBOrJs2QUgAcWBJUbAr0fVGjEJ6omwzUYU0RQcVFazhgsfLSx2URirylCiaamQkcPz4fly5cgaDB3+XpshPSU8lJkOBF51RceRIHJ8zBl1r1fr4VoMG0gsytpNOF6yDPXsWAAB27NiM1q1bJKeLVrHGSHwZJGoqqfUTI7eQzCvqf3DIK/3Yn0nexE5P0QaaxNg4/S8qaERV/vwYuXUrupQti9Ip74CKGj1v3jRJFdzc0APA+BMn0OPECaR6SLlJE+nl+PhIJge/lR4lu2bNGgDA3btP4OmpDgtoIYqgJKq7KL9o3YoOFqKwhKLlaNqXP5UUNkvTTY6kUNCiMFuCje32zZuYuWMH5vftm3p+EYn6i6YLLFN1NjbuKIIeo5ejc+ffktPbtZOOnKitfYnBTGbNno2ffvrp4xuCUHpB76X3N3PB705zhatkuoWTdhccCd7SIz6NHt0XFCzxCH/SgUXTj9i4OHUe0QgYwQEqj3U05ixaBHc3N7Ru2jQ5/UNitO1PxTiVS5NmA2CKry+G79iBkbGx8E3ZDtOna1Uf0Ul106a/AQCnT/+LJk0+1lMUOdrDWvCDQOo8oClc66dEB2pBJEQzpeDmkWDft4D62scM4dKfS5IUiUwUsUxwzAl59gyjZs3C7FGjYJtyXl9B6NS4gFJp0noPHIaFK1Zj5I8/Ydu21FHATSWmm7OQx0jXUTB67unj53j58iVevnyJ+Hhl8ig70SwXT55Ip4sCKoqixGoTwBkQH761DdxrE6+e9zMhVsO5PInUBY3oGOHigp2PHuHGu3f4tlSKthSdkyRCLRoB+PP9e9QAsGX5crRJ+eZXX0kvR8sQ1DsSg5n8c+IE6rVu/fEN0TbyUvp6QNQm2l73m5qmPbY4OEhfi9krBRP2i6IFJlVSVNlETspgKJRRgLn0Pp43r/Txz8FBie++G44uXfqiSJFiyemic7bUgHgLi+ro0KIFxpw6hU5//ZX6KSXR99IiQrxKpcKWxIjTL1+8gFvitYpoQK1oVYki6Ap3WlEdRQcFQcEmguXYGws2tMR1YCLXcB2hVH58SRGcf66HheGvffvwZ58+qd+QODh6uEuvm4V1yqLoka3Y92t3TGnVKkXdq0jXRXCtLjoW7dyinhdx3rx5mPDNN8npH5TS12ja/jTO7yA4Z0qdlAAkQDpytHAj1GL7NooMT/WvUEiI+otqe6MiIgK/bd8OP3d3NC1b9mO6KFSuxPE+j6UlJgYEYOzOnRhuZob8KXemKoI2Fy1fcExYt3UrAODcnTuoVbNmcrrKWPr4LROdPKUO1KKDgra/q7SNiKvpZKLFIDS9jLALSmz8mEzc8TY2NsY3AE4BuJE11UrF0dERI0aMBgCOsssCDx/egamphpDkGlQoVAi1ihfHor17s6hWqfXu3Rfu7u5480a386blBvFKJV5FRCAuk3dGxgB4C2BzltQqrU2bdgAALl++pKMSco9bz5/DyswsUxOM29m5oWrVHjh+fAXi4gQ/1DOhevXqqF69OiOFZpGHjx9nehn9ChSAvYkJFj18mAU1SmvhQvVjOpcuXdTJ8nOTp69ewcTYGNGZGMlkamqKwYNH4ujRg3jw4F4W1k7N3d0dAwYMBgC81vEcqLnBndBQmGby0eLqACoBWJglNUprUP/+cHR0xLPnvFbPrOjoaLx9+wYJCZkbkTx26FC8DA7GP4k3ybKSTCbDhlWrAABXdDiKL7e49eIFLExNM/UIs6eDA7pUqoSlx48jXgcjourVqYMK5crBwkK6g4608+j160w/sj6oUCFYGRtj6b2sP48DwIbEARXndTwHak6llw47f1dXLG7fHh6ikSkZ1ByAHYC/s6BOn5LJZKhZU/2svFJPYem/ZF27DkTfvpkPGtG9dm0cv3EDQaLb35ng7OyMihUD2d5ZwMTICKu7dEEFL69MLacQ1Bf6uhp0Xb58RQDcx7NC83Ll8Fu3bjDK5I+7atV6ICIiBP/9dyRrKpaCpaUl6tapw/bOIr/9+GOq0XWfw9zICB3y5sXfz5/rZM4jX19feHh4sM2zQMlChbDgu+/g6ig9ijKjWrRoC0tLS2zfvimLavaRTCZD3br1AfC4nhWGFy+OYcWLZ3o5PQAcBKCLB+bc3NxQsXx5tncWsLS0xF9/rUGxYmlHx2qjeJEiKFWsGP7+558sqllqgRUqAOA+nhXaVKyIX7t2zXTk1R6VKyMoNBQnddCBY21tjTo1a7K9s8gfvXqhWbm0Tz1ow9rEBG3z58fGLLhxK6Vw4cJwdHRkmwvobQ67rAjJbAqgLoDtAHQxtWlSHbmxZJ5MJsuSNm9YtixkMhn+OXs2C2qVlkwmY3tnkawKu94Y6gt9XcxWmVRHlYptnhWyos09PYvB0dETFy9uz4IapSWTyXQ6GXZukmX7uJsbHkVG4rqmR/Q/k1wuZ5tnkaxocwsLC1StWgu7d+tmH096DJZtnnlZde3WGIASwM5ML0ka9/Gsk2XH9Tp1sPfIEcTEZP1o+Y/XbmzzrJAVbV7WywsuCgW2X9LNEyv8fZZ1smwfz5sXt0JDcVdH125sc7EcEXQipe4ALkH9aGxWSxoSziix2YezrS0aly2LOTqKQBUfH8/2zmY6A4gEsFwHy06aiN5YMCcC6Z9MJkOVKt1w4sRKfPjwPsuXHx//cU5Syh7quLggj7k55twXzNGXSWzz7KdTp+44c+YULl/O+sddkgJIsc2zDw8AtQHMgW5usMfFxbG9s5mubdrgfWgo1mzK+pG0SY9dss2zD7lcjq6VKmHpiROIEM3VlQnxCQls72ymoYcHnMzMMEdHwQH5m1xMuz0haXJL0Vx0ogmNRREXRBMyiyYBXLkSDZVK+I8bh1/d3FB5+HB1+i+/pM1buLDkIl65lUiTFh4ehlf3LuN54nwYJiZmyXN4iib+FRGtAhHB3NNaF6CSS0+IKZp6xsw4cc4BDT3ZKpU6i1Q9Rd9VtEijeMFdt3jpD9z1awwA6DDMGl261MDSV8aoVq0BfA/tl15O+fKSyUFhVqn+r1Kp8PTpIxgbxyEo6CWcnV1TzVEpevpWtC5Fk1iL2la0fKm5LG/elM4rerpcNCmyQqE+AIaHazgQxscDRkbqaCOi96WIdhTRyVb0GGX//vAC0Hb/fsx8/Rr9O3RQP3I5YoR0/tKlJZMdXDxS/T86Ohq3b9+GLEY92anCDLBA4gTv8dJ1SXCRDnxgFC0Y+yeajFR0ISNaB6IdS3S81DTZqaheSRSK9A90ooljtYjsWk5xWzJ936NCAIDChQdjx45fsWnTAlSrNhpr10ovp3sH6WOIiTLtdvnq1Svcf/MGzx8/hpmpaaqd4wOs0uQHxPuVaI5p0U1Gc3Pp47Goae1NBduUaP+ROkcm5dU0V+zjx+r2Fs3ArSmIySesBAedKCdPyXQMHgwzAEOdnTFpxQr8OGMGXB0cgKVLJbOHjvlJMl35SbEJCQm4e/c2LCxs8ObNGyiVZql2GWcnQbeBNj8IROtG2yjH2p5kNG0Hoondk9jaAjY24kAjos+LtiVBfhPBeePte3sEBraEp2cBzJgxA3/8sQ4AUCD6v7SZ/fyky5TY2UJDQ/Ho7VsEv3oGAFDYmMLMVN3OSkvpEQXu7tKLFx1eRYdP0XWO6GlSbefet7EUzAultE6/Asn5Eq/XpfZzUbuKtg/ROUy0vSYGoBt1+DAadu6MY5s2oXqlSsD69dL5U06EnkJQcOrjqEqlwpMnD2Fvr8Sr16/h51cICcYf50rWNuCHKL/o0Cg6P0itHmGMiPeCdSkRiEud/72GBSZ6/lxdccGXshEcv+WC3w7l3J5KpvtNkT6u/zzfFYAr/P2bYez0RQiOGQ6ZTAZTU+nATAMHSiZ//G2SKCoqCnfu3EF4uHpCfjMrq+R1ES+43s3jJjjWi7Zj0fFb2w1Hm0nwAfG1W9LyNZ3LY2PVZYqOBdr+CJH6vqJlJB7ohrm44PcDB7Dk/n0M69hRvA4EP5TCHfKnSXv5MgixUa/x4tUrmJmbp6qXXMtYcKJVH2duI5luAunjrpEyTnpBom1E9FtdYm73Bw/U/4aHa7i1ER4OJCSItxvRBano5Ca67hftJz/8AEsAg5yd8evChZi0fj0c7OzEx3VRgMhPTsLx8fG4ffcuLJ3d8f79exibWSIOH3+rRgvOnTbWgnUvtc1qEQQEgHjDEZ3IRUH7NC1Hi/kfc9wIO7lcjmH16uGfS5dw/dmzTC/vwIFdKF48D6pUKYWBA3tBLpfDykoUSogMoVy5avD3L4mFCwVRBLWgVCoxeHAXVKzojbJlC+Hs2X9hZ8cJ6bOb4cWL40FYGP5OOpNlwn///YdChbxRrlxJlE2MZmSfyfk0KWvZ2LihePFO+PffPxATo6HzIQN+mjEDeXx8UKxCBSxctoztnQ31a9oUMpkMs/73v0wvKzT0PWrVKovAwKIoVSof4uLieFzPZoyMjNC9+1Ds3bsJDx7cyfTytvzzD9wKFULJUqUwaPBgmJqacoLybKZ+jRoo7OODn+bMyfSyEhIS0LdvG1SqVBCFC/vi0qVLDCaUDVWuPBzBwf/h5s1tmV7WlStX4FWwIEqWKYOqNWoAANs8m/F0c0PrWrUwe906RGXBKLupUyfCz88dASVKYOWqVbx2y4YGdOmCuPh4zFm+PNPLehMSgpKVKyOgQgV4e6tvBvDaTVqO67ADgJ7VqkEFYM2pzD8Y+8cf01CoUFHs3n0Uq1b9D2fOXIeVlfToCzIMmUyGNm164+zZo3j9WjDUJYPu3LmJLVvWYsyYqdi0aQ/Wr/8HP/00O2sqSlmmoqsritrbY8Vt6ZFZ2pg//0/Ex8dj//7D2LxuHf49cgTlBHf0yXDKlOmN8PAXePDgUKaWo1Kp8P2UKejWqRMO7dyJzWvXYqcOHtGhzLG3sUHratWwcv/+TM9Zsm3b/3Dt2mWsX78DK1duw99/70enTr2yqKaUVTp16oe4uDj888+6TC9r6m+/oWypUjh65Aj+9/ffuHb1Kkw1jUIivZLJZOjVoQP2HjmC0EzOeXT9+iXs2rUZ338/Azt27Ma2bTswfbrE0zVkUN7e1eHoWBAXLqzI9LL+mDsXJiYmOHLwIDb9/TfO/vsvimdBQBTKWr2bN8ejFy9w8sqVTC0nJiYGv/zyI3r2/AoH9+3D5v/9D1t47ZbtuDo7o2nt2lixaVOmp6pa9/ffuPHff9i9aRM2bdqGvXsPomPHTllU0y9Ljnw43NTYGCqVCtN37ECLMmVQ4TOXc/36ZVy5ch5Dh45D5crVAKh/7D18+ADGxsbIm9cTQNZM1EiZU7WqOgpc5cp5oNy797Mn0Fy3bglMTEzQpk03+PioH0EIDw/Hgwf34ODgBDvezck23K2ssOfpU8y+ehXDP3MZb968wfbtWxEYWAXVq9eASbz6Mdhnz54hNi4O+Tw9YcwfedmCh0cZAMCaNc1RpUooLCy0nS9AbeXatYiPj0fn9u1Rs3p1AEBsbCzu3rsHW4UCLtrOW0A6E1i0KNYcOICaI0bgaKNGn7WM+Ph4rFu3HF5e3qhXr3HyU0SvXwcjIiIcefJ4wFzTY+GkF+bm6hFwv/8+CfXqtUSBAp83V83ZCxdw9cYNTJ0wAdWqfbx2u3//PkxNTZE3b17w2i17aFCzJr6dMgV2hQtDNXPmZy9n3bolMDc3R5s2XVGkiPoYHhoainv37sHFxQUKreeXIV2QyWSwtHTCzZtbcfbsYlSp0uezlvPy5Uvs3LULtWvVQvXE8zgAPH36FPHx8ciXLx8A6cd5Sb8qFisGAKg7aBA+3LgBy88c6bx69TKoVCq0b98FtWoFAlB34t29exd2dnZwdnbOsjpT5pQvUQKb9+xBi759sa1Jk89aRmxsLFatX48ihQujQd26yY8pv3r1ChEREcibNy/MzNI+Qpxb5cgRdgDQrXJlAEDz2bM/6/MfPkSgX7/28PX1x6BB3wIA3r59i/LlA1CiREEULZofw4f3Z0SibCJfvoLJf/8nmjROg717t2PRotmYMGEG3N3VnXX//LMZfn5uKF3aF35+rjh9+mSW1Jcyr2viXEZff+ZIWpVKhT59eiA6OhqzZ89JTqvbuDE8/fxQsGhR1GzQQCcRzUh7JiYfL/IOHvzzs5bx361bGPj11+jZtSvq1qoFALh4+TLy+/vDr2RJuHp7Y8mKzN/5p6xRNfFC/9jVq0j4zFF206dPxPnzp/HXX6uS0yZOHIVixfKgQgUfBAYWwqtXmRuZTVmnTp1mAIChQ9t/1uffv3+PDr16oXSJEhjWvz8AIDg4GIX9/eHj64t8+fPj66+/zrL6UuYU9vFJ/vuxaO4sDbZv34iVK+fjxx//gJOTurNu3bq18PBwQ+HCvvDwcMO5c+eypL6UeWXK9AAAbN7c97M+r1Qq0aVbN8hkMsycMSM5rXrNmshXoAC8fX1Rv2HD5GAzZFg2KZ5KW7l582ct49q1KxgzZjj69BmIwMCqAIDTp08jX4EC8PP3h0uePFgjmtyY9K5WoLpDdfuBA5/dTzJm4kRcvnYNK+bPT04bOnQQ8uXLA39/H5QsWRRvtJ0f+AuWYzvs6iVe6L8KDf2szy9cOBvPnz/BggUbku++v3//Drdvf5zlf9myhejduzVPCtmAPMUkm8v37dP68wkJCfjuuyGoU6cxevcekpy+a9d2REWpJ4WMjY1FgwZVcOLEgcxXmDKtdIpgNWGf8WN+166d2LVrJxYvXg4PD3UQCqVSiQOHDyfnOXHqFDy8vfHu3bvMV5gyzd+/BQDg0KF5n/X5b777Dh7u7piTeJEPAFevX8fLV6+S/99n0CDMnz83U/WkrOGf/+OE02eDgrT+/JMnjzB79nSMGTMZFSoEJqevWbM4+THbZ8+eoFixPLh3717mK0yZVrt2UwDA/fufF2Vuxty5eB0SgvVLliQ/AvvmzRvcufNxXrzf//gDvXt3TY4KToaTMuLfmosXtf58bGwsvv9+GJo0aYNOnT6O1tq6dQuiE+fMioqKQqVK5XH8+LHMV5gyLW/ej1OOxMYKJl1Px6bNm3Hw0CGsWr4crq6uicuJxbHjx5PzHDx0CKVK+SIsk49aU9aonhgA7s9VqzTklDZu3AgULOiLadN+S067cPEiglMEwunSrRuWL1+SuYpSlihWqFDy31cSA3Zq4/bdu5g9bx5+mjQJZVMED1y8eGFyB+D9+/fh7u6Mx48fZbq+XwLtHomNilKHDRVFwxBFIhERhWISRZVN0WlTKCEBSOqVlZrTQFDHpKehLl06Dj8/P+TNawEnJyWMwkJRIp8D/t27F5Xq10/Ov2vXFnTsWB+rVm2Djc3HqDLaBsUUzcUpCjgiyh8fLz0EXLTKRNersYmRocIj0x9S7uWlDi4n9X21DCAHe2Pp8D4qa+loPZ8GLCtVqgYuXTqCglWrAonBA1IRPNropgAePuEFkHMAAHqQSURBVHyC58+fYODA/rCyCodCoUBYGDBr1nyUKVMBo0Z9DFnVrVtdzJkzH3379ku1HFGbiNa9iGj9SAX+EW1Poie8RE93Jt2k0BRMEI6O6oVrGSlSSBT5LMVd91R69Ej+s2BMDLBxIwAgpnx56S8t2BFN5An49+RRWFpawt/PGzJlDIyNjZFgYY0bN25hwIB+OHbsKAAgJCQEFatVw54dO1CgQIHkZQijGmsTuTO9/NqGtRJ1WoqOu0kbpqYh5b6+6p1cNPpB9Aip6CAotR68vSWzftqkBQtWwX//bUXlyg2kNxHBOk6KFHj81Ck0bdoM4UoZzM2tcPkyEFDmK8yc6Y4RI5ol5x81aggePLiLX3+dnerxetF+JQqUKzoGipYjivpcubxg2xGdI6XWfdL2YaLhMUNTU/Xr0SPp90WVFM0dVLKkZLLFW+mLuHcla0qmG5UsCaS4CExiKw+XLtfSHHuuHodSqUStauVgYRyuvvkWHY37Vy7jh+nTMWfBguTs5StUwPbNm1ElcXR+MtH+KXUMFO3j2kZSFkV5E+3jmiJNa+qYiopSR//Oqmjeom1B8H2NzT9OIu3rWxgAoFDYSUZzC3kvfU3i4GALADh25gz8/f1hZO8ApY0Cz5/JYKMoik2bTqB164/XBevWrUZw8GusWbMZlim+t6ipRLua6LAoyi9q8oJ5BecT0fFbFE006bwhOk8kSTqXS20booBtosdKK1aUThdd/HyyckqVKIFLV67Aw95eelsTXJjkcVPg5s27CA5+iZo1KsLGOhw2NjZQQYaVK1eiatWqGD58WHL+unWrY+7c5ejQoXuq5YhWlegULNpNtIkkLMqrVHhIptuYSm8fH6zVHVYfNHVMxcWpj1miY4Xg81aClRAUJh0NNk/0K8n00d9+vE4IC/PF3MR7Yj4+sbC2TrtCP40Gm0ypxPHjx2Fvb4/8np6Ij42FsbExzE1NcePyZXTr1QsXEjt+nzx5jHp1K2LPjh3w9ExRX9HhUHRdKyI6HouuibSNHivIn3Q9kzICsqQo9RQvwnqKrtdFBzXR8V5CQskyqf5frXFTHL14EbX8/ICrV9N+IDFoyKdsLBOgUqnw778n0K1rV8iUobCxNAEiIjCgSxe4OzigVZcuyfkHDuyDh/du4uepU1NPjSRYx2bWgnUjHAQgWAeCdROlkI6CrBRtgxLpSeeGsDANT/vY2gJWVuLtWHTgEh07RMcKwfV6ygNpqkNe0aLq3xGfEvzOS4ARjl+8DJVKhfJVayDSyBRmZmaQA3j06CkmTvweS5YsSs5fs2Y57Ni6FRXKl0+9INE61iYyumididK1PWmIfnQnXUtqMSVTjh1hV9LXF64ODuiuxbw3KpUKt2/fxsyZM7Fv3z5cvXoV+fPng7GxEW789x8AoGK5cmhcrx4Cy5fHqT17sHnzQVy6dBY//jhGV1+FMqh168EAgBJaTDobExOD/fv3Y9asWQCA8ePHwc7OFo6ODlCpVDA3N0fDhuo7/pMmTcf587fRp08/DB8+CJcuaX83mLKOuZkZ6pQrhzKFC8Nei4Pai6AgLF6yBOs3bkRkZCQKFy0KE3NzrEsMPV6oUCFUrlwFTk5OOHr0BC6dPYvYuDh069Ur05PfU+YEBDQHABQqlPGgIEqlEmfOnMHEid8jLCwMa9asRp48LjA2liEiIgwymQzVqjWFra0jWrbsi7VrL2PmzLmYN+8PrF+/RldfhTJo8OBRsLd3gI+7e4Y/8/79e2z8+2+sXKNuv9r168NCoUC/geobL06OjqiW2DG363//w+0LFxBQtCjad+6M99reWKQsVbJkedjZOaBZsw4Z/oxKpcJ///2HGTNm4Pjx4zh37hzy5fOEkZE8OeJsuXKVUblybQQG1sTWrf9iy5a9OHnyKKZO/V5XX4UyaOTgxGs3D+nOKinR0dHYs2cP5iRGmB05ahQUtrbI7+UFALCwsECjxOv/mTNn4fbtO+jUqSe+/rovbt26kbVfgLSiUChQpUoVBAYGwsJC+oa8lGfPnmHh4sXY8PffePfuHfyKFoWJpSW2bd8OAChSpAiqV6sGDw8PnDhyBBfOnEFYeDh69u3L6YsMrHXrNgCA0qLOHgkJCQk4deoUvpswAbGxsVi8ZAmc3dwgMzZGZGQk5HI5WjRuDEtLSwzq2xdXT57EjOnT8evMmdi0ZYuuvgpl0KBOneDq6IgCefJk+DPv3r3Dhg3rsWbNagBAtWqVYWVljpEjRwAA3NzcULWq+pHovXsP4MaNWyjo7Y12nTohPFxw8zaXyLEddsbGxhjarh1W7NqFxxqHDQFBr16hZqtW8PcvjPHjx6FBgwbo168//BLnybp5+zba9ewJmYMDTp49i+qVK6NS+fKoVq0Wxo+fhqVL5+H8+dO6/lqUjsDAJsib1weTp07NUP5NmzfDzcMD9evXw9atW9C7dx+0aNECAGBmZoZbt27Czk6GVq3UIypbteoAHx8/zJo1B0WKFMWAAX14EWBgIzp2xIVbt7BTNCIghcjISHQbMAAeRYui34AByOvhgSGDB6NsYkTYe/fu4ccff4CxsQybN29C2bLlULlyZZQsWRLLFy/GiZMnsXjpUl1/JUqHk5MPihRpimXLJmdo3zt//jx8fH1RuXJFzJs3F+3bd0Dnzl1gnXiH7dWrp2jUKC8CA80RGhqCKlWawM+vBPr3H4R27Tpi1Kih7MAxsJ49+yMy8gPm/POPxrxKpRI/TJ8OZ29vtO/cGc+ePcPggQNRM/Hu/bt377Bp2zbIFArM+OMP5HFzQ4O6deHn64s1K1YgPDwc4yZM0PE3ovSYmpqie/dBWL16Pl5+OoxewvPnT9GoUWUULVoE338/AY0aNULfvl/BO/GH4b17t9CrVzPkyyfD5ctnULFiDZQuXRG1a9fDuHGT8eefs3DlyiVdfy1KR8umTZHP0xOT9+zJUP51//sfXP380LBRI+zavRtf9e2LZs3UI6TlcjmuXr0KuVyGNm1aAwA6duwIX19f/PLLPHh5FcSIEV/x2s3Avh4+HKdOncLlywc15o2IiEDHzp3h6eWFAYMHw8/XF4MHDkTpUqUAALfv3MH4CRMgMzXF9n/+QfmyZVE5MBClS5XCkgULcPDQIaxew5tvhhQQEIDatetg8oYNGdr3Tp05A+8SJVC5WjXMX7gQnTt1QqeOHZODDDx++hQuPj6wy5cPkZGRaN6oEYoVLYoRw4ahZfPmGDB0KD58+KDrr0XpGNypE0JCQ7Fg2zaNeRMSEjD+u+/g7OaGzp074u3bEAwaNBjVqqkDyrx9G4J169bC2FiGP/+cC29vb9SuXRuFChXC2pUr8ebNG0z84Qddf6VsLcd22AHAwNatYW5mhjmJo+NE4uLiULddO9x9+BB///0/vHkTgl27duOvv/7CrVu3oVSq0LZFCxRInE8nLjYW/VI8mte79yDky+eFLl2a4eVL7efZoaxhamqG1q2H4MDhw7ipoc0PHjyItu3bo26dOrh06TIeP36CRYsWYfPmLVAqVXjxIgj58nkBAO7du42WLdshXz51+5uYmGDKlOm4fPkShgwZoOuvReloUKkS/L28MO/WLY2T0vccPBib/vkH82bMQHBQEE4eP44/Zs/GudOnoYqPx4TvvkPJxMf3bt++hREjRiV/tnq1amjWpAkGDR2K02fO6PIrkQbVq49CSEgQjhzZlG6+R48eoXadOnB2dsbhw8cQFBSMNWvWYcWKVXj/Phzx8Sp4exeBUqlEbGwMvL2LolKlj9Md/PDDT4iIiECLFg0515UBFShQEE2atMLKQ4cQquEC/OdZszDpp58wevhwPLp7F9cuXcKc2bNxaN8+qGJjsXHdOhQrUgQAcOb8eXw7bFjyYzOenp74euhQ/LVgAZavXKnz70ViPXsOhYmJCeYuX55uvujoaLRqVQdBQc+xZctWhIS8xY4dO7FgwQLcu3cfSqUK9eo1Q5486qkX5HIjdOjwcZ6zQYO+hqurG9q2bYw3b17r8itROiwtLTGwTx/svnkT916n3w479+5Fpz590KR+fVy7ehWPHj7EggULsG3rVqiUSjx88ABeiaPsbty4ge7duyfPc2Zubo7vvpuGs2dPYcKEkbr+WpSOFi1aoECBAti+fa7GJxc6d+2KHTt3YuH8+Xj94gWOHz6MObNn48KZM1DFxuLbUaNQPHHe8nv372NkiqAy9erWRd06ddB3wABcvMSOeUMaMWIUHr56hV0XLqSb7869e6jXqhU88+bFyWPHEBwUhNUrV2LNqlWI/vABqvh4FPbzQ2RUFMLCw1GqeHHUTBx1JZPJMH3KFLx79w6NW7RAQoLg0WrSucLe3mhSvTqW7dqFCA1TNPzw44+Y/ssvmDB+PB4+fIKLF6/g99/n4NChI4iPV2HZshUoVkz99Ny5c2cxcuQ3yZ/19vbGoP79Mev335OflMqNcnSHnZ2NDcZ3747fbtzAhocPhfnOXLyIG7dvY+PChWjdujWsUkS0SennSZNQpWJFNKxTB/lTzIdgZGSEbduOQC6X886dgTVo0A2+Pj5o2qYN3qYTcWzZihUoVqwY1q9dixIlSqSe6yCRlZUVTp68ioSEBPTokXq+uvr1G2LGjNlYvHgBdu/emeXfgzJGJpNh2oABOBAUhAnpXIy9Dw3F39u24ZdJkzCgVy84OjpK5mvatBkGDBgIX19f1EqMIppk1fLlKF2qFLr17IlITfMDkc4UKFAFgYGNMW1aDzx4IH606e+//0Z8fDz279uHqlWrwlhiDhOZTIZdu57ByMgYzZr1gqnpxzlh8uXLj23b9uD8+bP47befdfJdKGOGDx+DkPBwdJ4xI90fd4tXrECf7t0x5fvvkT9FwIqU/Hx9sfCPPwAA/Xv3TvXehPHj0aVTJwwZPhyPRHP4kc45ODihX79vMPWPP7Bt715hvtOnj+P+/TtYsWILmjdvDgsLC8l8U6fOQ7FiZVC3bjO4uX18tNrExAS7dx9DbGwsRo4clOXfgzKuT7duyGdvjyYLFiAsae4tCUtXr0b5MmWweuFCBAQESF67KRQKnD59BgkJCejb96tU7zVu3BLffz8d8+fPwrFjmkd3kW7I5XL8NG0azpz5B+vWiZ+KCQ4OxvZ//sHvs2ahb58+cBBMMtm+XTv06tEDxQICUDkwMNV7G9euReFChdC9Vy/ExGiYB4x0pk6dOqhTogQ6z5yJuy9eCPNt2LwZxkZG2LtpEwIDA2FklHbeUplMhpAHDwCojx0pr+/8fH2xfdMmHD1+HL8nTZZIBvFd//54FhyMHtOmCftGVCoVFi9dikEDB2Li99+nnm8yhYCAAMyerb5269MndYTpqT/+iDatWmHg0KF4/hlBLr4EObrDDgDG9+yJTt7e6HXyJK4JIj1evHYNZmZmqFimjOT7SVQqFV69fg17iUkFPT3zY9q0P7Bv3w7s28cOHEOxsbHDzs2b8T40FJ179hTeXbl46RKqVa2aKrqslKS77nZ29mneGzRoKKpXr4mvvx6SHI2M9K9F9er4qXRp/HTtGjY/fiyZ5+qNG1CpVKjx6YTyEl6/fi3Z3gqFAiuWLMHde/fwW+Kch6R/crkckyatR548BTBuXEuEh7+XzHfp8mWUKVMGCtFE6YlCQ0OgUimhUKRt8xo1amHQoGGYPPk7vNYw8oN0p2jR4lj3zTfYdf48Jq9bJ5knNDQUDx49Qg2pgEOfeP3mDaysrNL8EDA2Nsaff/wBKysrjBo9mjffDOibb6agVcOG6DpsGG4JIvhevXoRNjYKFC9eKt1lqVQqhIQEw9Y27T7u7V0Q06bNxJYtf+PIEXbgGIqjoyN29OuHoLAwdFu9Wtgxf/HKFVSvXFmyoy6lN4nRPezt07b54MHfoHz5QIwZMwSx2gYaoCzTvn17dO06GatXT8SZM9K/my4l3oitUb26xuW9fv1asr3t7OywculSXL9xA3P+/DNzlabPZmRkhP99+y3c7O3R4qefECHomL945QrKlykjHDyT5HXSPi7xm7xRgwbo37cvvhk7ltOaGFCZokWxasIEbDpyBD+vXi2ZJzg4GC9evMjQPh4cHAw7O7s0x38TExMsmDcPcrkco8eNy5XXbtpFiTUzU4dD0jYiTWIIpfiEBDx5/RreSflEI6REIfYkli8DsGjGDNwYNQotzpzB4enTkc/FJXkZoaGh2Lx7N/wKFoSRlRUQKXjkJjIS5y9fxt379zH7+++To6HEG388OVSrVh9OTi7o1asNrl27h7wSETBFc+OLrhlEq1LUzySKTCaiaXo/TXM4OtnEQKGIQZw8bbSijPRhvXjxHLa2duoDs+DLypTSnW4KhXS0uCOn/dGjxzrMmtUQDVqOR4cOsyCXy9Gunfr9kyeP4+7du+jbdzA+RBsJNydjY+Dvv1fB0zMfSpcuiaTjw8e2kqFDh+4YMKAHevbshjVrNkouR9QmojYXBYySIgpII1q2qO8iqa0yfIwTjTAThdhLXMkqlQr3nj+Hj4eH+oArWvmiL5AivHdK36xejfNff43ux47BvV8/VEwRmTIuLg6rNmyAhYXFx5GxgkccPwQ9xbZtWzHp229h9D4kVd0B9RDviuXL4/vJkxFYqRJqfzIKL71lizaED9HS2/HLB9KLkculL2Lc3aXTTd2kJ3yVxSbeada0wTk7qzccbSNXFlZHe3z//j3i4uLg7OysTpdoc1HkR1Hfy4ED1mjefAv++qschgxpj06dtsDU1BJKpXonff78PvbvP4pKlRrj+AmZsElcXIADB9YCAOrUaZJctZRftUOHTpg37w/UqhWIq1fvSP5QFB3XRfu+aJUHBEinxyilI7uaiXbo9H6Eagqc8u6d+oAgqqRoH08xj+SD16+R39ERRnK5+KCTOD9sRjVs1w4/vn2L7/74A74lSqBL4pxVUCqhUqmwPPFisLCPj/o7ChpdGRuLVevWoXHdujCRyT7mSzwZKuRytGzUCPOXLcOsX37BiJGCR+ek1qO260y0YYqitonaTrScpON0OiOWAABJjxqLIpmJjtOJbRsXF4fnQUHwypdPnS66dhPsKJ5O0vWb/vsGXGtcAY17fYX//e8w3NzckUcRl1jEW+zftxWFC/nByTYeUEofnzydYnHsxAm8ePEUXds1TC4rNPbjaLx69RrD3t4B7ds3xcWLj+DsnDbKo2gfFwWENJPHSabbxwrWTbCWFwSitkra9+Oky09mZKRetlTbivbNFAe0Z2/fwtHaGhamptpfwL58KZns16IF1jg6ounXX2PMhQv4eehQ9fE2ceUfOnIET549Q2F/f3WaoNz3kWZYsmQlfHz84OZWODki68c2lKNTp24YPrw/Ro7sizVrVkgu54HgHKzl5i0ZGVi0ykTXzcGQjgiaFItHYwBPR0d1+4l+hwmOOQmJ51SVSoV79+7BNzHaYx43wcXiG0FFBF94+ZxhCA05g5kzO+Pg9u0okzgvXQJsEBsbizXrN8Da2hpuHvmQACMYxUsvJ+TZM+zYtQu//fDDx++S4gK5eMmSKFGiBL4ZMwaVypVD5UqV0i5EtL2KzmGi46Kog0h0nBaFjhbs40aJ5yojTT/QkvZx0YYp2pAT19vb8HCoADjaJAYGkdpvBSPRox2kR0m9qdAJvy8phdaty6P5orWYM2cjzMzMUdBUfVy+c/cuTp07hw5t2qS7jyMyEqtXr4aJiQkaVq788VyX4hjVpUsXLFi8GNXq1sVV0WO42p5rRT+6BPnNzaWvbUU/oaQ2qQ/R6n3/Q7yGqMAhIepzvUTfAwDxdpl03gZwPygIBVxd1YNZtI0eK1Cq01gMCYrEuLlToSheG40btwUA5Jer1NduiVOQFPb3B+RyGEH62PI+VIm1a9egYcNmiI7+eJyxtFRfH9s6uaJJk6ZYuXIFKlWuij59pKesMjOVWL7oPCvaDkTpoot+0brU9FvaRPraX4peR9hNXL8e3RIfVclKlubm2DphApQqFUoPHYr/nTiBt+/eYdnq1QgIDMTFq1fxm4ZABSqVCuWbNAEAVBOEsFcobLF373nExMTg2LHDWf49vjRv34Zg3Ljh+PnnSVm+7ICAeujSZS4OHPgDs2Y1RHDwA9y8eQOjRg1FgwbVUbZseXTp0iPdZaxfvxqrVy9HwYK+wru5nTt3x6hR43DgwB7OlZABK/buRfsffsAL0QXKZ5LJZFg6dSpK+vujeteumLlsGULDw7F1505UrFcPy9auxa+TJycHGxCxLVAAcXFxqP7JIxUpHd2zB26urtiVwQmyc7vho0djsKjTIxMcHX3QseMmPH58AvPnl8PTp2cQHPwMq1ZNQ8+exWFiYoYuXcalu4ynTx/g55+HQ6lUwsHBWTJPmTJlsXLlOty/fw/370uP9KGPjt6+jeEbNuDv8+ezfNljv/oKPVu2RNcxYzB06lS8ff8eR44fR/OOHTF87FgM6N0bpVN01ktp17Mnbt29i2rp7ON//voralevjl0HDmTxN/gyjZs2Db1SzBuVVaytbbB8+XZERUWiXr1S2L17K0JCQrBoyRIElCqFm//9h1+nT093GUqlEtXr1QMA6R/pABwcHHHgwGlERUXh33+PZfn3+NIEvX+P4WvXYmoGAsFoq0nVqpg1YgR+XbUKTYYPx+OgIFy9dg0Dhw1D7UaNUK1KFXTukH4E4WXL5mPLlg0oUqS48NqtV69+GDx4BPbu3ZkrR2Noa9GihWjfPv2pZj6HXC7HygULUMjHB1Xq18fcBQsQGhqKLVs2o2LFcli3bi1++21WcrABESc/P6hUKlQT7OMAcPrkSdjb22N3Oo/Z00dDlyzB0MWLs3y5Pj7++OOPjTh5cj/atKmI69cv4MnTp/hh2jSUqFABtgoFvhk+PN1l3Lh9G2N/+glxcXGws7WVzFO5cmUsX7oU165dw7MMBKbL7fZevIghCxdipw6u3YYPn4SmTTtg0KB2mDp1FEJD3+HQoUNo1Lgxxowdi6+HD0eRxPmFRVq2rI9Hjx6icuVqwjyLFy9FYGBl7NqV+5501GuHXXlfX3RLjOaW1bxcXXH+999RpUgRtJ02DY4FCqD3kCEoERCA66dOoW7Nmul+PiTF47TW6QzT9fDwhIdHPuzevSPL6v6lsrOzh5tbHvTuPVAny69ZcwBGjtyHZ8+uYsyYgihfPgDr1q3Ejz/+jL17j8FSdIc60cqV6oigTk7SP+STVKxYBeHh4Thxghf6mlTw90ft0qXh7uSU5cu2trLCgWXLMKhTJ4z8+WfYlSuHll27QiaT4fS+fRjUp4/mhSTySCcMuampKcqXLYu9+/YhTtMoBkLBAgUwYsgQ3Sy7YC30738WMpkRFiyoiDZtPLFixQ9o2LAnli27ijx5vNL9/MWLxzNUTsWK6s4dHtc1K+npCReFAs01dJx9DrlcjiVTpmDO+PFY+PffcAwMRM2mTXH1xg1sWb0a8377TeMyNiV2MqS3j8vlcgSWK4ezFy7g1atXWVb/L1W5kiXRo317nSy7QAEf7N17AcWLl0Hv3i3hlCcP+g0ciArlyuHG5cuoXk188Q4Az1PMlWQqGmkCoGBBXzg5OWPv3qzvhPrSuCgUyGNri346ul4f3qkTds6ejXM3b8KraVOUqFAB6//3P8z+9Vcc3LVLY+fN8uULAACOjulfZ1SsWBlv34bgDANJaVShQkU0atREOIdcZtja2uLIrl3o3bUrhnzzDew8PdG2bWuYm1vg9Olz6N0749dued3dhe+Zm5ujbJky2L1vH2+wZ0ABFxeMTBrJnsWqV2+ITZvOIDY2Fi1alEX+QoXw04wZGNC3Ly6fPi35hFpKB46rr900TWtUJXEanB27dmVNxb9gZX184O7ggPql0p9i4nMYGRlh9uzV+O67mVi+/A+UKOGA2nXq4M6dO9i5YwdmzpypcRlJU1a4u4u3DblcjkqVAvHvv6cQEhKSZfXPCbR7JDaTmpcvr9PlOyoU2DJhAs7duYN/o6PRvFEjeAkmpv6UInFkjtTkl58aPfpHDB3aHW3adEDz5i0zVecvmVwux/TpWT+iMqWiReti2rQ7uHZtN8qUiUHr1u3TvWhPqWbNOjh27DC6deuVbr7ateuhYsXKGDiwD86cuaJxFFdu5p8/P37t319nyzczNcXMsWPRv0MH7Dt5EhVr1kTZzzj5eHp4pPv+hNGjUbFmTUyZNg2TJ0783OrmChPGjNHp8l1di2LgwAt48OAQHBzuo27dzrC2lr7j+qn8+dWPfnXsmP6E8x4eHujbtz8mT/4OjRo1RcGCPpmu95fK1tISi7t109nyZTIZBnfujNb16mHn0aPwLFoU9WrV0jinVRJ/Pz/8d+cOKpYtm26+wX37Yv7y5eg3ZAi2bNiQ4eXnRu2aN9fp8p2cXLBq1U5cuHAaD+7+i1YtWggnpv6UQ+KcVqJAQymNH/8jvv66P1q27IA6dRpmqs5fMiO5HHO6dtVpGY2qVMG9LVuw88QJqDw80LZVK5hk8PGg2rUb4Nq1y2jXLv06NmzYFKVKlUWvXj1x4cJFYdASAkqUKIESJUrobPkWFhaY+9tvGPTVVzhw+DACa9VFyc+46eOs4WbwpO+/R9UaNfDrrFkYM2rUZ9Y2d/ixUyedLr9w4eLYvv0S/v33IGIj7qJLx46wSXr8VoOAQoUAAGM13Az29vZGj+7d8e3YsWhYv74wGBWp+0gW6+jmOqD+zd+nz9do0qQdDh3aiXJlC6B27doZvrbKk8cdQUEvUKpU+tduw4YNx9KlizF8+CCsWpV7osbm+KATn5LJZChfqBCGDRiQ4c46QH1ntlRAAHomTYSWjrZtu6JRo6YYMWIwh9pnAxYWNihfvh06duya4c46QN1hBwD29unfUTQyMsJffy1HUNALzJnDYATZgV+BAhjcpYvWnXU9OnZE2ZIlNXbMly1dGmO//RZTp0/Hi3SiXZF+GBmZwNe3Plq2HJjhzjoAKFRIHSG6cGHN28lPP/0KZ2cXfPfd6MxUlbJIHmdn9GnTBvW1uOADgH49esDMzEzjDzsXZ2f8NWMGtu3YgQOHDmW2upRJMpkMZctWwrAhQzLcWQeoo70XLlQIHdu21Zi3R4+vUKNGXYwZw2u37EBhbY2ODRqgU/v2Ge6sA9QddgBga2uXbj4TExMsXLgS9+/fx1xGk8wW/AsVwpD+/bXurOvQsiWqVqyoccRVYGAgRgwdiolTpiQHJiHDMTMzQ40ajTDgq68y3FkHAGWKFwcAFEmcUzE9s2fOhEKhwLgJEz67npR13Nw80KnTV6hTp45W1279+w+FjY2NxlG+7u7u+P33Ofj77w04efJEZqubY3xxHXaZUbhgQdwWzUKbgkwmw7BhIxEU9AJbt27SQ81IF/z81JPm3717W2PeggV90LRpCyxa9BejjuVg/r6+uC2ISPipAf36wczMDH8tWKDjWpGuWFhYwsPDC48ead7Hra2t0adPf+zYsQ2PHz/SfeVIJ/z9/BATE4PHT59qzNuySRN4FyiAP+bN00PNSFf8CxXC7bt3NeaTyWQYOHAkHj16gP37+QhVTuXrm3Ttdktj3kKF/NG4cWPMm/cn4kVBASjbK+zrK4wm/alB/fpBJpNhwZIlOq4V6YqdrS3cXFxw+/59jXltbW3Rp2dP/G/zZt5gz8H8/AojPDwcr15JBy1KqW3bdvDwyIt583T7FF92ot0jsc7O6qg2ojscojvaoogjGsMefUIUvcVH4vGlO3ek84pGYJ09i7xRUTj74AGQ4ll4V8HktzVrVkfRogFYvPgvtGnTOrkXWRSVVVPAr0+JghOJrjdE5YryZzhSaUgIEBsLE4kKxVtKP4IibFZzwaOkgsp7eUmPpBGtG9G5XPQEa8G8ZrCxsUHIqyewMo5JThdF6pk0YRyKFl+P/Xu3ok3r1snp78KkR2uJ1oMoaIzUatB2uxEtW7TrpGFrC1hYiFey6EuJKioKsadlaN0Yr0KS6WbBgh/lwcGSyTZuhRAeEYEHoWawslLXwRXSkaNtnfKjXbvOWLpiJfoN/Ab2iY9eyeWCkQBa9uOK2kTUhqLDqJmxYK6WpJ1f04+UqKj0DwiijU1091pibhJRFRIDzaaRIqhVKkeOSKeLprUxNQXc3PIiJORFqkO/6FjRv/9gTJgwBitXLsOECZOT00UBo7TdTURtKGpza2vpbc3UNG26WbwgAvqnQkLSj/YuShetZNG5VjB5ub1oagxvb+n0W4If5YJjSN7NmwEAL6ZMgXfKOks8HiUHMP7bb9F7wAD8d+sW/FNukFLXCqJ1I4oQpu21kmj5ouNrUh0zG01QFCVRtOOKdlDRBi74XlJf68Yd6W3ey0t60RERFnBwzo+btw/hVdjHRx5FX7Vti1ooWLAg1q6eh45t6iWnJwiO60ZywUg80WFVdG7T9jpYtC0kLUfTjUNXV/UKljpIiZYtOg+ILjBF81CJliOYdPxxsPSjqvndpeeQvXbNBcbGJjh27AVSTjktmo5rzJjvUbFiaWzfvgtNmnzMJDp+i37zi47TUqtT211KdAhJ2pw07eLw9lYXml7IdC3KtbcUbF+iLybYpqKMpUdVmYt+Jwj2h9tP/fD6zRvMXqWAkZF6Xx3SS/qc5+Xri9atWmHxihUYOnz4x5Fdou1StC+J0kXrWNsfdJp+JGiK/u3qCqQz57rwWCTa/6XOwYJlpPzNlJJcLv37Kc5Yeh8XBtaNt4CLWz7cCQrH0/iP89F6xkqvk6+HDMHkKVOwctUqjPnmm49vaPtjWsttRBYrvR6slKIfaRJ5E9dxQryGUd/GxuqXKBqsiOhkqGVEXAgCe+QvKX098yFSen54UZP4HlUH+gub+QN8U167ffttmrxGMmDMt99gyLBhmD71NnxS9AOpIPGbXC79O100/i/K3F4y3SJMMOexaF8WRe1Oyq/FTSSOsEvBVaHAK9HZS8J3303E4cOH8OTJEx3WinTJ1cUFrwSdO58qUqQIatWsiSVLl+q4VqQrzs6uAIDXrzM20fzw4d/gxYvnOHmSAUdyKicnV7x5k7H2trKywtChI7Bs2SId14p0xTVxnqpXol/Xn+jepQusra3xd2JHH+U8zs6uePMmY+dxAJg4fjx27NqF4Aye+yl7kclkUChcEBqasfYrWbIUKlYMxKpVy3VbMdIZGxv1tVtExOsM5R/z7bd49OgR/v33X11Wi3RIm2s3W1tbDOzXDws5qjLHck3sfH4lukH0ia/69oWpqSk2b9miy2plG+ywS8FVoUBETAwiY6R7zNPkd1WfQKJFd04p23N1cdEqSqCbmxvbOwdzctKuw87VVX13hG2eczk6uiIkJOP7uKurG6KjNdzZpmzL3twcxnI5XmkanZDIyMgILs7OiOI+nmM5O7vi7ds3GX7k0S3xrndUBrcRyn7s7FwRGsprt9wiqcMuTDTC5RNJ+3h0Bn/PUfajvhGjxT7u6sr2zsFctOywMzU1haOjY645rrPDLgXXxKHerzSOPVd7nzgs1VL0uAple66urhkeYQeo25ztnXNpO8IuNPQ9AO7jOZk2d2kB9T5uYcH2zqnkMhmczc0zPMJOpVIhNCwMlowgmWM5OblApVLh7duMTTLPa7ecz9bWFe/fa3dcZ3vnXEkdduHhGWvz5H2cx/UcS+trt9BQtncOZmpsDHsLiwx32CUkJCAsLCzXHNfZYZeCT+IcDxceP85Q/kOHDsDd3R15RfN4ULbnU7AgLl+9mqE789HR0Th+4gQqVqigh5qRLjg4OEKhsMXVqxcylP/Qof2QyWQoU0Yw7xZle/nz+yAkJBgvXmRs6oJDh/ajfPmKOq4V6ZKPnR0uZPBGzKXLlxESEoKKorn1KNvz8lLPX3PlSsaO6/sPHoS3tzecNEQSpuzLzc0HDx9ehFI031IKEREROHPmX5Qrx2u3nEqhcIOpqRWePs3gPn7gAIyMjFCmTBkd14x0xcvLBy9ePM3wDfb9Bw/yPJ7D+Tg44EJQUIbynjlzBh8+fMg1v8nZYZdCAScnlM2fH+vOntWY9927d1i3bg3atGmnVdhiyl7atW6N4OBgHBbNZp/C6jVrEB4ejrZt2ui+YqQTcrkcTZu2xdat66FSpT/Ba0JCApYsmY+qVWskP/5OOU+NGk1gbm6B3bs3asx7/vw5XLhwDm3atNdDzUhX2vv4YO/Tp3ibgUcl/lywAM7OzqhRrZoeaka64Ofnj8KFA7B16zqNeV+/fo2N//sf2rdpw2u3HKxy5fZ48+Ypbt8+pTHvypXLEB0djVat2uqhZqQLxsamKF68BS5e1LyPx8XFYeHixahXt25ysDDKeerXbwEjIyPs3Pm3xrzHT5zAtevX0Y6/z3K0dkWL4p/btxGegUeb//zrL3h4eKBSpUp6qJnhaRcl1sJCHXVKNBpJFCVDFFVIlF/LKFsqH980abI3golJRRfw7doBAJo/foxf58xBbIsWMBVEVvnv9m106N0HSqUSQ4eOTBVQRRRgRhR1ShRUSLTKRCNFRUFgRMtPClyicWBZVJQ6wpzEkFMLCOZ/sRSEgInULkqajTJUOt1HeuXcvSd98S0KZhkWZgaZWUW4uHhgxbqDcHJvDCBtAD+VSoXVq+fjxx9HoEOHbnB1L4p3KWKTiNpcNMDDwUE6XYpoAICoTJlg7q2kCE2aAsvB1lbd1qINUBRVSMvogNpuyMZOgkhYogg8gkAwrk4J6NC2CdasWYywd7fg5+cHlTztsl+/fo3evdrj8uWLOHzgAKzMP0ZiVQmjDQk6AAXrwEou3RiOpoKdUjTsW/Do3we5OjLaBwiiyCaxt1e3t5aRe4VtK1EfVwfpY4IoMqNo8wgIkE4XRZ1S74M2KF26Fvbv34WmTdWRQqWCFR44sAeDB3dHqVKl0KFtcxiniL4bGiHd5qLNXpSubSB10fH50aO0afnyqbfjsHgN7R0fn/6BX3QyEUR9FRI1ytWr0umiY4to+xNdP3TrhmavXmHwsWM46O2NtnXqSGaLjo7G6OnTsXTlSsz78UeYvHsnvbyURAde0eO32l4rib6raN9Mqo+msO+OjoCNjfjkI9oANUU4+5Tg+8aZSh+/oyX2c9FmILXNA8CDBwAgQ7FizbB370L8+28CjIyMULp02rz//XcNAwd2hFxugqYtRuDuo4/HH1EUWiMIjnOCdfA6Uvq7OjhIpxtFCqZgESw/TuGo/tdcQ4C0fPnU243UcVp0gBWlC6K7Crd70b4v2M7MzaUfYzt+Wvr8ULYsULp0Jcyc6YSXL3eja9cqktVRqVSYP/8PTJz4Lbp06Qs7O69UARZF1RRtg4IgiZLpomUHBkqni3bNpOtXTU+JJShlSFDKYKRl9Etra+lz27sI6WifotODlVJ6O7awlD4fxcVLlyvd4sCQTiFws6qFdr3XoHm1K8iXNy8gT3tNFBQUhO79B+DmzZv4888FiFN+LMckVsu5rkTnPFFjaBsVXHTcTtp4NAVBzJNHvY9rG81W1IhS6Vr+Hndykt5uTOTS24HJ25eS6Z7WlvC0lqFqpUo4fXw7JgzurH7D3C5N3u3bt6NXr16oWLYsmlSrlrp9NP7o+YSozUVtK9rRBdfr4UgbNTkicRWEh2u4gZQUJVbb7UzUAaFl3YXr8tYtyWQrt/fS+UX1HDECzZs1wzclS+JIiRJo2qgRACDBOPU2FRkZiVGjRmDtunVY9tdfMPqkc09qLaqspaNVJ0hFlAVgoZSOQK11VHdNv4EzOAUbwBF2abRo3BhhYWH437ZtqdKVSiWOnjiB/sOHo3TVqoiJicHevYf5OGwOJ5PJULNmS+zZszbNRPPv37/D+vVL0Lp1VYwfPxCdOvXEzJkLDFRTyio1a9aEQqFIE+1XpVLhypUrGDt2LIoWLYLTZ85g2+bNqFq1qoFqSlmlWrWWuHTpCJ49u5cqPSoqCv/8sxndurVCu3YNUapkSezZuRPGmjpAKFvzdHVFWX9/LNm+Pc1I2sfPnuGX+fNRvGFDLFi7Fn9MmoT+XboYqKaUVSpWbImwsDc4e3Z7qvSEhAScPHkI33zTF02alINMJsPq1UeSAxBRziSXy1G3bnNs2bIKMZ/8YHv7NgTLly9EvXqBGDt2OLp3H4CpU+cYqKaUVerVrAlLS0ssWb06VbpKpcKly5fx7fjxCChXDlevXsHWrTtQvnzueFTuS9aycWPsO3wYTz7pFY+MjMTGjRvRrHlzNG/RAoHlymHH2rWQizpUKEfwKVgQRf39sXjFijTXbg8ePMD06T+hRIkArFq1EvNnz0aPzp0NVFP946+STwQUKYJG9eqhz9ChePDoEUoWL47/7tzB/CVL8ODRI+TPlw+jhw/HsG8n5JqJDr907dsPxrZtS9CnTzV06DAUzs4WOHp0L7ZsWYXY2FhUqlQTK1fuRpMmDQxdVcoCVlZWGDxwIKZNn46o6GjUrlMXQUFBWLZsKc6ePQsHBwe0a9ce348fhzx58hi6upQFatfugKVLJ2Ho0Fro2nUsHj/2wNmzp7BixUK8f/8OJUqUxuzZizBkYHde8H0hvunSBe3Hj0fbsWPRqX59fDAxwYYdO7Dz0CFYmJujae3a2Dx/PgIKFTJ0VSkL+PqWRfHitTB7djc8ezYOb98Ww+3bN7B69Xw8ffoI+fIVwJAh49G9+zcwMxOMLKAcpWfPYdiyZTU6dqyJbt0GwdbWBPv378b//rcW8fHxqFatFrZu3Y+KFaVH2VLOYqtQoH/37vjxt98QHhGBmrVr4+mzZ1iyYgUuXr4MJycndG7fHqPHT4JL4pzklLN1bd8eU2fORI2mTTF62DC4FSiAEydOYNHixQgNDUXZsmWxfNkydGvShFMcfAFkMhm+/fprdP/qK3Ts0QPtW7fG++hYrF+/Dvv27YWlpSWaN2+B8eMnoGg+D0NXV6/YYSfhfytWYOjo0Zg+ezY+fPgAExMTtG7WDCsXLkRghQqQyWSIMWVn3ZfCy6sQFi8+hilT+uH777sBAPLkyYthwyaibdsecHVlp82X5scffoClpSVm//EH5sydC5lMhlq1amHr1m1o2LAhTExMIFNqeLSQcgwLCyvMn/8vpk/vjdmzhyIhIR4KhS06d+6FHj36wddX3WkjFzy2QTlPu7p1kaBUYty8edh06BAAoIS/P5b+8gvaNGoEG9GjPpRjfffddsyfPwgbN07BqlWRMDU1RZMm7TB37jqULq2+dstg8GDKAQoXLoZ16w7ju+8GYPhw9SjZvHnz4bvvpqBDh25wcVGPoszAVJaUQ/w6eTKsrawwd8kSzJo/HzKZDPVq18bOzZtRr04dGBsbJ08BQzmfrUKB0/v2odeQIRj0zTdISEiAvb09vurbF1999RV8fNQBh7SesoOyrW6dOkGlUmHCjz9iw6ZNAIAyZcpg+fKVaNmyFaysEqeXEE0n8YVih50ECwsLLPrjD/w5YwZevXmDPG5ufETqC1ekSFmsXXsB7969gZOTDHZ2Drxb8wWTy+UYP24cxo4Zg2dBL+Hi4gIzM+m5N+jL4OKSFzNn7kVkZDjy5o2Ai4srR9N94TrWr48O9eoh6M0bKLy8YG0lmAuTvgjm5lYYPnw5Bg1aCE/PV3BxycNrty9cmTKVsHv3ZYSEvIaDgxHs7Ox57fYFk8vlmDxmDCZ++y2evXsHV167ffHye3ri4NatCAsLQ6SpKVxdXbmPf+G6d+6Mbp064UVQEGxc3T920uVivJJJh6mpKTw5R12uYm/vBAaVyj3kcjk8PT0NXQ3SI0tLG7i5SU9AS18emUwGd2dngBd8uYaJiSnc3Xlcz00cHZ2FwSLoyyOXy5GP1265ikKhgII7ea4hk8ng4e6OBHNeuwHadtjJ5eqXKHKYttHcRJEotYxQIhWEI9rSWTLvE0HEUDfB0zFh76XTRV9JlC66ySsKAiR6bMPdXbtyRas4KWiMpshTyREFpUKeij4sioqibUgu0XMMgu3A112w3fhIp0dFS9+hEW3GtpZx0suJl45rpe15JY9T2uWLli3aPiwtpR8FMIkMTfxXQ9SppB+2ouHlopUjmi9EFJ1ItCELtikj0Y4iinYlCtErUX9Z4cLSeQVlyl5KR7XKsu1bRFCfcIX0PA42UEc5SoAg2tGntI00JkqXetRQkNfIXPrA6GEuvf15eEuvY5Wl9And11u7R1zfhUlHjBIEHRaeqkTHextBxDwbwXJE9ZE6BSftCqJdIpmzszriu6j9RAcX0XFdtH2Llq8O65nxckXhE0UrXxTu89496XRtrlu0jRQnShetG1F+0Yk8qT5x0uemNFKGyExJdC7XNsKeYMM3sZNOd3VKmy7a5rXdPLQNYCoM6GsqXR/RqhHVx0guHUU8ylj65oHwcJx42tAYXM7eXh0ZWGq/Fe07opUjqoxoOaKDkGA7cxVcfyt9pO+eitpWFElY1CauLtJtEhsrfW0oun8vtdq8vaXzii6VRJcsSadTlSAIfZKQEHUzKRTS14CiSz9RE9orBOdOwcoXRWGUQbriot9WjsaC6yKp65830j/oTLSd7iCLjnPCiKqic6foGlC0H37KxES9r2kbvVwUpVNqv9XyOlW064uO6/ai7yo6JwnyqxwcJdOFU9uIflOITgSiNhQtR7DebJzSXkNYu6mvXzVOi+/iot7GRG0iuk4Q5Rc1lrbRhUXLFx3UtFzHRqL9SrTdS6wHUZEm8VHSb4j2HW1/D4naJGndfMjg7zMwSiwREREREREREVG2otUIu7CkHkdRL6voLq+2I+8SBD3iguUkSPRwizp8RZ32ok5y0V1MbUfYiVaBtoPUtK2PqAM6qdyIiPRHXIUlZZQqQNvKi3qgjaTvvCAmRrv8WvZ8azvCThav3Qi7KEHHvWjqBSNlxkfYaTsYKmlkXZiG2/LJ+7jo7oLoboDoLpkov6geomOIaEM2kV4/wnKlliPa+UXpou1eVHfRzinavkUE+1U4pOupkqvXgcY2T/qeou8lOh6LNjapdSzKK9qQRXUW5FfFS9dR28AhYYK7wNoe6kSHqLCwrKmPVJMk1SVMtN0mLTPp5ChqE9HJU/RltT3QifKLyhXlFxE1luiYINpvpeqv7TWLaB1rm1/DiV/jPp7eeRwQrxtt5wkSHae1uEDRdh8UVV3bw7ToslaULjp0ifILR9hpeR2StOmEh2fw2k1qaJZoXxOtTG1HXIi2Ry1H74bHaDfaUlR90WVCWJh0m4SHS7eJaJuSqo+WA4Q0bq+artU1bQ+iw6ioaeNMtRxhp5Rel6IRdqJ1bGKkxY8x0c6saTjip7QdYadtuaLjouicmnRc13QuT9potD03WwiCckjtKKLrVMGGEyMYnSraZ41UWh4rBMccVax0m2g9wk50EBGtY9G2IDroSNQ/6fpVY3sn1U3UJtqeJDWdZD6l7UhR0XJE5w3R8rXdryTExUovQzjCTttzobbnyMS2CtP4mONHMpVK85EtJiYG5hkdoks5jpubGx4+fJiqjdnmXy62d+7DNs9d2N65D9s892Gb5y5s79yHbZ67sL1zH6k2l5KhDjtAvcHEaDsihHIEU1NTyQ2Fbf5lYnvnPmzz3IXtnfuwzXMftnnuwvbOfdjmuQvbO/cRtfmnMtxhR0RERERERERERLrHoBNERERERERERETZCDvsiIiIiIiIiIiIshF22BEREREREREREWUj7LAjIiIiIiIiIiLKRthhR0RERERERERElI2ww46IiIiIiIiIiCgbYYcdERERERERERFRNsIOOyIiIiIiIiIiomyEHXZERERERERERETZiE477JYvXw6ZTAaZTIYjR46keV+lUsHHxwcymQw1atTQZVWEevToAWtra4OUnSTlevr09fLly1R5d+zYgW7duqFYsWIwMTGBTCYzUK2JiIiIiIiIiEgXjPVRiI2NDZYsWZKmU+7o0aO4f/8+bGxs9FGNbG/ZsmUoXLhwqjRHR8dU/9+yZQtOnz6NUqVKwczMDBcuXNBnFYmIiIiIiIiISMf00mHXvn17rFmzBn/++ScUCkVy+pIlS1CpUiWEhYXpoxoGFRkZCUtLy3TzBAQEoGzZsunmWbRoEeRy9cDIwYMHs8OOiIiIiIiIiOgLo5c57Dp27AgAWLduXXJaaGgoNm3ahF69ekl+JjY2FlOmTEHhwoVhZmYGZ2dn9OzZE69fv06Vz8vLC02aNMGOHTtQqlQpWFhYwN/fHzt27ACgftzU398fVlZWKF++PM6fPy9Z3o0bN1C7dm1YWVnB2dkZgwcPRmRkZKo8KpUK8+bNQ8mSJWFhYQF7e3u0adMGDx48SJWvRo0aCAgIwLFjxxAYGAhLS0vh99RWUmcdERERERERERF9mfTS+6NQKNCmTRssXbo0OW3dunWQy+Vo3759mvxKpRLNmzfH9OnT0alTJ+zcuRPTp0/H/v37UaNGDURFRaXKf+XKFYwdOxajR4/G5s2bYWtri1atWmHixIlYvHgxpk2bhjVr1iA0NBRNmjRJ8/m4uDg0atQItWvXxtatWzF48GAsWLAgTd369euH4cOHo06dOti6dSvmzZuHGzduIDAwEK9evUqVNygoCF26dEGnTp2wa9cuDBw4UON6atKkCYyMjODg4IBWrVrh+vXrGj9DRERERERERERfFr08EgsAvXr1Qs2aNXHjxg0ULVoUS5cuRdu2bSXnr9u4cSP27NmDTZs2oVWrVsnpJUqUQLly5bB8+XIMGDAgOT0kJASnT5+Gh4cHAMDd3R0lS5bEokWLcO/eveRHUWUyGVq0aIEDBw6gadOmyZ+PjY3FyJEjMXToUABA3bp1YWJigvHjx+PkyZOoXLkyTp8+jUWLFuG3337DiBEjkj9btWpV+Pn5YebMmfj555+T09++fYu///4btWrV0rhu3NzcMH78eFSsWBEKhQLXrl3D9OnTUbFiRZw8eRIlSpTI6GomIiIiIiIiIqIcTm/PV1avXh0FCxbE0qVLce3aNZw7d074mOiOHTtgZ2eHpk2bIj4+PvlVsmRJuLm5pYk4W7JkyeTOOgDw9/cHoH40NeW8cUnpjx8/TlNm586dU/2/U6dOAIDDhw8n10kmk6FLly6p6uTm5oYSJUqkqZO9vX2GOusAoEGDBpgyZQqaNGmCatWqYdCgQTh+/DhkMhm+//77DC2DiIiIiIiIiIi+DHobYSeTydCzZ0/88ccfiI6Ohp+fH6pWrSqZ99WrV3j//j1MTU0l33/z5k2q/zs4OKT6f9LnROnR0dGp0o2NjdNEY3VzcwOgHr2XVCeVSgVXV1fJOnl7e6f6f548eSTzZZSXlxeqVKmC06dPZ2o5RERERERERESUs+itww4AevToge+//x7z58/H1KlThfmcnJzg6OiIPXv2SL4v9RhtZsTHxyMkJCRVp93Lly8BIDnNyckJMpkMx48fh5mZWZplfJomk8kyXS+VSsUgE0REREREREREuYxeO+w8PDzwzTff4NatW+jevbswX5MmTbB+/XokJCSgQoUKeqnbmjVrkuewA4C1a9cCUD9Wm1Sn6dOn4/nz52jXrp3O6/Pw4UOcPHkSderU0XlZRERERERERESUfei1ww4Apk+frjFPhw4dsGbNGjRq1AjDhg1D+fLlYWJigmfPnuHw4cNo3rw5WrZsmWV1MjU1xW+//YaIiAiUK1cOp06dwpQpU9CwYUNUqVIFAFC5cmV89dVX6NmzJ86fP49q1arBysoKQUFBOHHiBIoVK5YqEIY26tSpg2rVqqF48eLJQSd++eUXyGQy/Pjjj6nyPn78GOfOnQMA3L9/HwDwv//9D4D6MdqyZct+7mogIiIiIiIiIqJsQO8ddhlhZGSE7du34/fff8eqVavw008/wdjYGHnz5kX16tVRrFixLC3PxMQEO3bswNChQzFlyhRYWFigb9+++PXXX1PlW7BgASpWrIgFCxZg3rx5UCqVcHd3R+XKlVG+fPnPLr9YsWLYsGEDZsyYgaioKLi4uKBWrVqYMGEC/Pz8UuU9fPgwevbsmSqtbdu2AIDu3btj+fLln10PIiIiIiIiIiIyPJlKpVIZuhJERERERERERESkxogGRERERERERERE2Qg77IiIiIiIiIiIiLIRdtgRERERERERERFlI+ywIyIiIiIiIiIiykbYYUdERERERERERJSNsMOOiIiIiIiIiIgoGzHOaMbo6GjExsbqsi5kIKampjA3Nzd0NYiIiIiIiIiICBnssIuOjkaB/PnxMjhY1/UhA3Bzc8PDhw/ZaUdERERERERElA1kqMMuNjYWL4OD8fTiRShsbAATE+mMKpV0eny8dLpSKZ0eHS2dLuowlFp+eLh0XlHdPT2l083MMl4mAFhbS6eLvpNc8FSyjY10uoipqWRyFCwk05OqHx4eBn9/T8TGxrLDjoiIiIiIiIgoG8jwI7EAoLCxUXfYCTqHhB1w2nbYiTrVPnzI+PITEqTziuou6mgTdWJp22En+k6iDjuFQjpdRPC9TDR02BERERERERERUfaiVYcdrKzEHVKAuBdI1Ckl6rDTtrPqzZu0aXZ20nktLaXTIyIkk1/ZFZJMd424r9VyhB2FonVjLN0072KtJNPjBcU6OEinJ1UzJkb6fSIiIiIiIiIiMgxGiSUiIiIiIiIiIspG2GFHRERERERERESUjbDDjoiIiIiIiIiIKBthhx0REREREREREVE2wg47IiIiIiIiIiKibES7KLFJRJFNtU2PjZVOF0WPFUValUqPjtaqLgkBJSTTXZ88lEyPci8omW5xZLdk+kHThpLpz55JJiNvXun0gADpdFFw2hcvpNMjI9X/fvgg/T4RERERERERERkGR9gRERERERERERFlI+ywIyIiIiIiIiIiykbYYUdERERERERERJSNsMOOiIiIiIiIiIgoG2GHHRERERERERERUTaiXZRYY+OPLynx8dqliyK5iohCoUoRRZoNC5NMNoqPkUz/L7qAZLp/xGvp5SeFX/1EbUhHj4W3tWTy7xerSqbXqSO9GCIiIiIiIiIi+jJwhB0REREREREREVE2wg47IiIiIiIiIiKibIQddkRERERERERERNkIO+yIiIiIiIiIiIiyEZlKpVJpyhQWFgZbW1uEvn0LhUIBldxIMp8otoQJ4kQLlk7XNniFVBAMUYAKQVAIyKX7LqO8i0qmP3smvRhfl1DpN168kEx+5+YvmV6jhvRiHByk052cpNNLlkx/OVFRYRg50hahoaFQKBTSmYmIiIiIiIiISG84wo6IiIiIiIiIiCgbYYcdERERERERERFRNsIOOyIiIiIiIiIiomyEHXZERERERERERETZCDvsiIiIiIiIiIiIshGJ8KrpiIgA5HLIpKKyAjBRKqU/JwqpKor6ammpXf7o6LRppqbSee3spNMF38ki7JVkuoODq2S6SmErmS579EgyXfSVWrSQTv/hB+n0b7+VTr94UTp982bpdCIiIiIiIiIiMiyOsCMiIiIiIiIiIspG2GFHRERERERERESUjbDDjoiIiIiIiIiIKBthhx0REREREREREVE2wg47IiIiIiIiIiKibESmUqlUmjKFhYXB1tYWoTduQGFjIw5tGhkpnf7mjXS6m5t0+pMn0ul582a83PfvpfOKRERIp4uizQqiyqJIEel0Jyfp9KtXpdNFkXIF6+B5hHR02j17pBezfLn63/j4MJw+bYvQ0FAoFArpzEREREREREREpDccYUdERERERERERJSNsMOOiIiIiIiIiIgoG2GHHRERERERERERUTbCDjsiIiIiIiIiIqJshB12RERERERERERE2Ygg1KnAq1fAhw9AbKz0+9HR0ulv30qni6LBiiK83rwpnS4VJVaplM4rqmPJktLpouWI8gu8em8mme7q5SX9gZcvJZNVCulosJaCaopW/YkT0ulERERERERERGRYWo+wU6lUuqgHERERERERERERQcsOu/mbN0NeoQLGLVigq/oQERERERERERHlalp12I2eOxcAEBUTo5PKEBERERERERER5XZaPxJbvXRpzBwyRBd1ISIiIiIiIiIiyvW06rCzs7HBxmnTIJPJdFUf0isVgPOGrgQREREREREREaWgVZTYzd99BxcAePNGOoP8Y/9fVEwM7gUFwdnWFq/v3YO3kxOszD6JlBoWJr2c+Hjp9IgI6fQ7d9KmWVpK53V3l04/L+i4qlhROv3ZM+l0QYRbV2/pdDg5SacfOSKZLHv0SDLdXi7H69BQ9J0zB/MHDYKbvT0AoEePxmnyvn4djJcvXbBkiQ9CQx9Il09ERERERERERAahVYddGR+fDOcd8NdfWHHoUKq082PHokz+/NoUSVp4ERKCbadPY9vp07j4++8oVbAgbt++CT8/fyiVSiiVSrx6FYTSpfOjQYNV7KwjIiIiIiIiIsqGtJ7DLqPyOTun+n+Auzt8XVx0VRwBKOHtnbze602YgHsvXqBq1aJo164+6tQpg7JlC8DMzBwAcPLkeENWlYiIiIiIiIiIBLQaYZdRey9exI8bNqB5hQp4/+EDjl6/jhp+flBYWECpVEIu11k/Ya72NjwcwaGhAIBRrVrh0NWrAICjR/cn54mM/AAACA9/ov8KEhERERERERGRRjrpsHseEgIAeBMWhtolSuDo9euYe+QI5ibOyxY2ezZszM11UXSuExcfj8sPH+LojRv4fft2RMfGAgDGLF8OWyurNPnLlfNO/rtNm4OQy02wcWM1vdWXiIiIiIiIiIjSp5MOu1516yIqNhaDFyzANy1bpnqva4UK7KzLAkFv32LIwoXYdf48omJjYWZiguYVK6JuyZLo9+efUCqVCP3wIdVn6tVrgsKFA9C8eTts3lwQZmYKxMQIAn8QEREREREREZFBaNdhp1IBSiVgair9fmKEVJVKhXWHD6No3rwo5+GR/LZy4kTIZDLg5cv0y7G2lk4XRY91cEibplRK5xWli5YdHS2dHhkpnZ44wi3Dzp7VbvnPnuF1eDiq/PorouLiMLlxY1T18UGpwoVhZmICAOi5dCniExKgVKmgTEjAk5AQ+KeMjvv0Kt7VLJVczJ9/aldlIiIiIiIiIiLSHa067GLi4jTmCYuMxK87duDknTs4MG4cnG1sYGVigloFCiBBqYSxkdFnV5bUvvvnH4RHR+Pc6NHI7+ioTkzsrAMAI7kcRknzBCqVqTvriIiIiIiIiIgoW9Mq+kP98eNx59kzyfcev3qFgUuXwmPwYPy0fTvGNGuG2gEBMDE2xg81a+KfO3ew4MKFLKl0bvf47VuU8vT82FlHRERERERERERfDK067EIjI1FqyBBMXb8ewe/fIy4+HgcuXUKvWbNQuF8/bDp7Fl83bIhHv/+Onzp0SP7ciMBAFHd1xdnnz7P8C+RG9f39ceTuXcSKHuMlIiIiIiIiIqIcS6tHYk/MmIFpGzZgyvr1+G7lShgbGSE+IQE+7u4Y3749htesCWtBQIlAT0+cfPIkSyqd25Xy9ERsfDyO3LmDekWKGLo6RERERERERESUhbTqsLMyN8ecAQMwsVMn7Lt4Ee8/fEB5Pz+U8fVVB5NIDDohJSY+/uO8avTZVCoVZh48CLlMBi8+EktERERERERE9MXRLkpsIiczM3SqVOljQkyM+l9BxNPYq1ex7cYN9HF3B06c+PhGlSrSBYgipFpaSqdLPRoqelxU2/Rjx6TTCxeWTrezk06/c0c6PV8+6fQXLyST/zl7Fv9cu4bVnTvDz9b2YxRbUeTegADJ5NY+IQCAsPBw6c8REREREREREZFBfFaHnbb2hYTgbVwcOru56aO4L5JKpcL3//yDabt3o4irK1oIOuKIiIiIiIiIiChn00uH3ZbXr1HEygrFbWz0UVyOFx8fDyOVSv2YMYDLT5+i1NSpAIDv6tbFhLp1YWqsl6YjIiIiIiIiIiI900uvz9WICFRQKPRRVI6mUqmwYNMmDJ85E37OzpjavDm2Xr6MrVeuAFAHm/ihQYPkjjwiIiIiIiIiIvry6KXDzsbICC9jY/VRVI62bPt2DJg+HQBw7flzNJs3D4Xd3NCzUiU0K1ECVX18IIuKMnAtiYiIiIiIiIhIl/TSYVfM2hp/PH2Ku5GR8BUFjiBMWrgw+e9WpUphUpMmKObhYcAaERERERERERGRvmnXYSeTAXI58PatVh+r/fQp/gDgd+oUwgAkz2QXGCj9AXd36XRRJFdr67RpohF9oiiu2pYZESGdLnr018lJOt3cHCqVCrNWrsSz4GDUqVgRy6ZMQd7gYOn8og5PQVRZyXUDfIwqa2Ii/T4RERERERERERmEXB+FVErx91Z9FJiDqFQqDPzxR4z89VeM7tULexcuRF5G0yUiIiIiIiIiyrX08khsyjFht/VRYA6y79QpzN+4EbNGj8bwrl0NXR0iIiIiIiIiIjIwvYywswJQJ/Hv4vooMIe4/eQJ2o4YgbqVKmFIp06Grg4REREREREREWUDeumwAwA/AHkBtNJXgdlcSGgoWo0bBw8XF2yaPRtGRkaGrhIREREREREREWUDenkkFgDcALwCoNRXgdnYu7Aw1P36a7x+/x7HVq6EjZWVoatEZFDR0dGIFQWKISIiIiIiykKmpqYwNzc3dDWI0qVdh51c/vElRRTB1NoagfHxiIuOxkNLSxRK+vzLl9L5AwKk09+/Fy4/DWPBVxNFg1UKuhJFUV9Fda9SRTo9Merry5AQdJk8GY9fvsThuXPhHNgUIRLZHaOjpZdz6pR0+rNn0ukPHkgm735SFAAQGamS/hyRnkRHR6OAhQUEexQREREREVGWcnNzw8OHD9lpR9ma3kbYlUl85PN8QsLHDrtc5GVICH5auRILt22DmakpNk2bhuI+PpKddUS5SWxsLF4CeApAAQAy2cc3Ux4rPj1uiN7T9m9ReVlZhqg8XZXx6ffIyDrNbBkZWadZWYYuystovsyU9zmf0ba8zylD2/IyW4Yh90HuH1lfhgH3DxU+lpfy3qvo74zmE/2tUmnOk9kyMlJeVpYhKk9XZXz6PTKyTjNbRmbaMyu3q8yU9zmf0ba8zymD+4fu/v60TH3sH7ooL733DLcPhuHlS0/Exsayw46yNb112NnJZPCQyXBZqURnfRWaTfx37x5qdOuG2Ph4jO3WDUPbtoWdjY2hq0WUrSgg0WEn+juj+TLytz46JFgGy2AZLINl6KQMfXfYsQyWwTJYhqHKyKpL3/QuqT8tX9ey6vtlNN+nna5E2Z3eOuwAoJ6REbbFx+MXU1PIPt3DvlAvX79G47594Wxnp34E1t7e0FUiIiIiIiIiIqJsTK45S9bpamyMuyoVTum7695A7jx8iKodOiAmNhY7ZsxgZx0REREREREREWmk1w676onz2F1OSNBnsXoXFh6OKX/+iRJNmkAul+PE+vXwypPH0NUiIiIiIiIiIqIcQLtHYsPDgfQ620QTNvr4AFD3Dha/dQvnLCyA/PmBt2+l84siszo5SaeHhaVNi4gQ11MbouXUqZMmKT4+Hr8sXIgZCxbgQ1QUBnfvjh9HjYKlhYVwOY43j0sv//Jl6XRRpNxevaTTBdFmG0YeBACExX2Q/hwRERERERERERmEXuewA4B6NjbYIOp0ysHevHuHVkOG4NSlSxjYtStGDxwIDzc3Q1eLiIiIiIiIiIhyGL132BWzsMCM168RqVTCUt+F69Con3/Gjbt3cWTDBlQpX97Q1SEiIiIiIiIiohxKr3PYAYC3qSkA4GFMjL6L1qmXb97Ayd4elcuVM3RViIiIiIiIiIgoB9N/h52ZGQDgQWysvovWKd/8+fH63TtDV4OIiIiIiIiIiHI4vT8S62ZsDHOZDPdy8Ai716GhsPjwAZYWFjh0+jT+XLsWWw8cwKTBgyGTyQxdPSIiIiIiIiIiysE+r8NOLhiY5+4unf7LLx8/CqD8yJHYZWyMr3fskM7frJl0ekCAdLq3d9o0bQNbiCLcfrKcDt99hw0HDgAATIyNERcfj6IFC2L5Dz+gW9OmQOIjv2kYC1a1pWAmv4oVpdNF614qUi4A+PmlX5/wcOn3iYiIiIiIiIjIIPQ+wg4AetSrh94zZ+K5qSk8ctCItGv37mHDgQP4vndvFCpYEC9DQlCuaFFUKVWKI+uIiIiIiIiIiChLGKTDrlmlSjA2MsLM+Hj8ZmJiiCpk2IPnz3Hr8WNUL1UKs9avh4NCgfE9esDUxsbQVSMiIiIiIiIioi+QQTrsHBUKTO3RA98uXoxeRkYoKnrM04CCgoPRc9w47D1xIlX6nJEjYZrNOxmJiIiIiIiIiCjnMlhP2bCWLWELICA2FseVSkNVQ6j7mDG4ducOVk6ciFUTJ8Lfywu9mzbF4LZtDV01IiIiIiIiIiL6ghlkhB0AmJqYYJGJCdrFxeG7uDgcNTMzVFXSOHXxIvafOoX//f47WleoAADo0rChgWtFRERERERERES5wed12FlbS6eLRsoJIrDWL1UKOHsWx1QqqFIGbnjwQHo5UtFgAUChSJvm5CSdNyJCOj1FFNdfli5FgJ8fWjZsKI7KKlrOmzfS6aIorpGR0ukuLtLp8fHS6W5u0umi6LQODum/T0REREREREREBmHQyeMUxsb4Lm9eKIyMEK9SGbIqyVQqFY6fP4+2DRtCng3n1iMiIiIiIiIioi+bwXuk2jk6IiIhAZOePjV0VQAA8fHxeB8WBhdHR0NXhYiIiIiIiIiIciGDd9gVs7LC1Hz5MO35c+x5987Q1YGJiQkK5suH/+7fN3RViIiIiIiIiIgoFzJ4hx0AjPbwQAM7O3S8cwcPoqMNXR1ULlMG+0+cMHQ1iIiIiIiIiIgoF8oWEQdkMhnW+fmhxOXLmPj0KVYZuD61KlbE8k2bEB4RARtRgA0iylLJYVlSzmcp+juj+TLytyhYjq7o6nukt65SfseUc3Nm1d+f/j8pgJAuy9BFeRnNl5nyPucz2pb3OWVoW15my8hIeVlZRnrfQxfbK/cP3ZaR4m8VPpaX8lAn+juj+UR/i04fWVlGRsrLyjJE5emqjE+/R0bWaWbLyEx7ZuV2lZnyPucz2pb3OWVw/9Dd35+WqY/9QxflpfdeVl7uZjSfmiAgJFE2o12HnVKpfklFZQXEEVIF+f+dcTLV/6v/NRbbty9C7N27MDUySvuB9++lly8VUVUUMMLOTjo9RbTUVx8+wMjICCZOTsIIt0KiOoqiu4qitIo6EUTLEY1MfPs2/eWEh0u/T6QnpqamcHNzg+fLl+qElGfVhATpv4mIiIiIiD6Tm5sbTE1NDV0NonRlixF2SapUaYZVq6bj4tu3qOjsbLB6XLhyBaWLF4e5tp11RKQ1c3NzPHz4ELGxsYauis6EhYXB09MTT58+hUJ0w4OyPbbjl4Nt+WVgO34Z2I5fDrbllyG3tKOpqSl/71O2l6067AoVKg0bGzusevDAoB12ZUuWxNbdu/H23Ts42NsbrB5EuYW5uXmuOGEqFIov+sInt2A7fjnYll8GtuOXge345WBbfhnYjkSGly2CTiQxNTVDt27jsODOHbyMijJYPRrXq4fo6Ghs3bXLYHUgIiIiIiIiIqLcKVt12AFA06a9oQKw89kzg9WhVffuAIBFqwwd/oKIiIiIiIiIiHKbbNdhp1A4wMXcHE8+fDBYHfK4ugIATp8/b7A6ENGXw8zMDBMnToSZmZmhq0KZwHb8crAtvwxsxy8D2/HLwbb8MrAdibIPmUolHeg4pbCwMNja2iJ06VIoLC0BS0vpjE5O0ul580om3470lEwf3MQXViYm2Nq1a+o3ROXWq5c2TfS8vWCerKBYx+S/o6Oj0b17Uxw/fgDxISEwkopYK4qIKyKKWiuK7iqKHisqVypSLgCVd8F0qxUWFgY7O1uEhoZyjgIiIiIiIiIiomwg242wA4ByHh449/w5MtCXqBPm5uYoVqw0PDzySXfWERERERERERER6Ui27LCr6uWFF2FhuPjihcHqcOfODRQqVNRg5RMRERERERERUe6ULTvs6vr4oIC9PeadPm2wOty+fQN+fuywIyIiIiIiIiIi/cqWHXbGRkZoUaQI9t69a5DHYl+8eIanTx8hIKCk3ssmIiIiIiIiIqLcLVt22AFAq6JF8TwsDP/cuqX3stesWQRzc3PUqdNE72UTEREREREREVHupl2Hnamp+mVsLP0KC5N+RUZKvgq5vJN8LXAYixulF8DXtxqGHL2J+fZjsMBhrHblRkdLv+zsJF9KJaBUAhcunMWff05Hz55DYW1tC5VC+gUHB+lXvnxavaK8/CVf2i4nuW0+ecni4zS+iCjrNGvWDPny5YO5uTny5MmDrl274sUn83E+efIETZs2hZWVFZycnDB06FDExsamynPt2jVUr14dFhYW8PDwwA8//GCwQDy5zaNHj9C7d28UKFAAFhYWKFiwICZOnJimjdiO2d/UqVMRGBgIS0tL2NnZSeZhO+ZM8+bNQ4ECBWBubo4yZcrg+PHjhq4SfeLYsWNo2rQp3N3dIZPJsHXr1lTvq1QqTJo0Ce7u7rCwsECNGjVw48aNVHliYmIwZMgQODk5wcrKCs2aNcOzZ8/0+C1yt59++gnlypWDjY0NXFxc0KJFC9y+fTtVHrZjzvDXX3+hePHiUCgUUCgUqFSpEnbv3p38PtuRKHvKtiPsAKBx44l48uQCLl/eopfyVCoVJk/+Gn5+RTFq1A96KZOIviw1a9bExo0bcfv2bWzatAn3799HmzZtkt9PSEhA48aN8eHDB5w4cQLr16/Hpk2bMHLkyOQ8YWFhqFu3Ltzd3XHu3DnMmTMHM2bMwMyZMw3xlXKdW7duQalUYsGCBbhx4wZmzZqF+fPnY9y4ccl52I45Q2xsLNq2bYsBAwZIvs92zJk2bNiA4cOHY/z48bh06RKqVq2Khg0b4smTJ4auGqXw4cMHlChRAnPnzpV8/5dffsHMmTMxd+5cnDt3Dm5ubqhbty7Cw8OT8wwfPhxbtmzB+vXrceLECURERKBJkyZISEjQ19fI1Y4ePYpBgwbh9OnT2L9/P+Lj41GvXj18+PAhOQ/bMWfImzcvpk+fjvPnz+P8+fOoVasWmjdvntwpx3YkyqZUGRAaGqoCoApdvVql2rxZpdq1S/q1Z4/069Yt6dfbt5Kv+fNVqvnzVaq//lKqihVrrDIyMlGNGHFEpZo7V/p1+nTa17170q/4eMnXs2cq1fbtp1UAVCtW7FA9e6ZSPXumUimV0i9R3VWxsdIvQbmRkSrJlyo6WvqVVLFPX0+eSL9E9Ul8hb55o27b0NCMbApEpKVt27apZDKZKjY2VqVSqVS7du1SyeVy1fPnz5PzrFu3TmVmZpa8H86bN09la2urio6OTs7z008/qdzd3VVKpVK/X4BUKpVK9csvv6gKFCiQ/H+2Y86ybNkyla2tbZp0tmPOVL58eVX//v1TpRUuXFg1ZswYA9WINAGg2rJlS/L/lUqlys3NTTV9+vTktOjoaJWtra1q/vz5KpVKpXr//r3KxMREtX79+uQ8z58/V8nlctWePXv0Vnf6KDg4WAVAdfToUZVKxXbM6ezt7VWLFy9mOxJlY9l6hJ1MJkO/fptRsGBlLFrUDvdfv9ZpeQcO/AN7e0fUqNFAp+UQUe7w9u1brFmzBoGBgTAxMQEA/PvvvwgICIC7u3tyvvr16yMmJgYXLlxIzlO9enWYmZmlyvPixQs8evRIr9+B1EJDQ+Hg4JD8f7bjl4HtmPPExsbiwoULqFevXqr0evXq4dSpUwaqFWnr4cOHePnyZap2NDMzQ/Xq1ZPb8cKFC4iLi0uVx93dHQEBAWxrAwkNDQWA5PMh2zFnSkhIwPr16/HhwwdUqlSJ7UiUjWXrDjsAMDY2Rd++G2FqaomvN23SaVlnzhxDYGBNGBkZ6bQcIvqyjR49GlZWVnB0dMSTJ0+wbdu25PdevnwJV1fXVPnt7e1hamqKly9fCvMk/T8pD+nP/fv3MWfOHPTv3z85je34ZWA75jxv3rxBQkKCZJuwPXKOpLZKrx1fvnwJU1NT2NvbC/OQ/qhUKowYMQJVqlRBQEAAALZjTnPt2jVYW1vDzMwM/fv3x5YtW1CkSBG2I1E2ZqxVbgsLwNISMDeXfj8yUjo9LEw6/eZNyeR+bap9kiKHu80YdO7fH/sGD0a9Tz+wZ0/ahXh5SZf5/r1ksp2dI+7evYmQkJdIOS+1IDvMze0l000FXaCfzF+dLCJCOh3WZpLJFtbW0vnfvpVOf/NGOl2pVP+bYl4CIpI2adIkTJ48Od08586dQ9myZQEA33zzDXr37o3Hjx9j8uTJ6NatG3bs2AGZTAYAyf+mpFKpUqV/mkeVOMG91GcpY7RtRwB48eIFGjRogLZt26JPnz6p8rIdDeNz2jE9bMecSapN2B45z+e0I9vaMAYPHoyrV6/ixIkTad5jO+YMhQoVwuXLl/H+/Xts2rQJ3bt3x9GjR5PfZzsSZT/addh9ppdv3mDQr79izqhRcHd2/qxldGjVCov698cYIG2HXRZ48+YN3r4Nwdu3IYiNjYWpqakOSiGinGjw4MHo0KFDunm8UtwkcHJygpOTE/z8/ODv7w9PT0+cPn0alSpVgpubG86cOZPqs+/evUNcXFzynU03N7c0dyuDg4MBpL37SRmnbTu+ePECNWvWRKVKlbBw4cJU+diOhqNtO6aH7ZjzODk5wcjISLJN2B45h5ubGwD1qJ08efIkp6dsRzc3N8TGxuLdu3epRvUEBwcjMDBQvxXO5YYMGYLt27fj2LFjyJs3b3I62zFnMTU1hY+PDwCgbNmyOHfuHH7//XeMHj0aANuRKDvSyyOxkTEx8MqTBybGn98/KJfLMQrAJQAXsqxmHzk5OeGXX34HAAQFvdBBCUSUUzk5OaFw4cLpvswFI4+TRuLExMQAACpVqoTr168jKCgoOc++fftgZmaGMmXKJOc5duwYYlMMzd23bx/c3d0z3BFBaWnTjs+fP0eNGjVQunRpLFu2DHJ56tMl29FwMrM/fortmPOYmpqiTJky2L9/f6r0/fv380djDlKgQAG4ubmlasfY2FgcPXo0uR3LlCkDExOTVHmCgoJw/fp1trWeqFQqDB48GJs3b8ahQ4dQoECBVO+zHXM2lUqFmJgYtiNRNqaXDjtvDw/8Nnw4nD955l1bDQA4A9DVTHb+/kUBfPyBTUSkjbNnz2Lu3Lm4fPkyHj9+jMOHD6NTp04oWLAgKlWqBEA9MXqRIkXQtWtXXLp0CQcPHsSoUaPQt29fKBQKAECnTp1gZmaGHj164Pr169iyZQumTZuGESNG8LEDPXjx4gVq1KgBT09PzJgxA69fv8bLly9TjehhO+YMT548weXLl/HkyRMkJCTg8uXLuHz5MiIS56NgO+ZMI0aMwOLFi7F06VL8999/+Prrr/HkyZNU80yS4UVERCTvc4A6QEHS/iiTyTB8+HBMmzYNW7ZswfXr19GjRw9YWlqiU6dOAABbW1v07t0bI0eOxMGDB3Hp0iV06dIFxYoVQ506dQz4zXKPQYMGYfXq1Vi7di1sbGySz4VRUVEAwHbMQcaNG4fjx4/j0aNHuHbtGsaPH48jR46gc+fObEeibEwvj8RmFSMA9QFsBTAVQFZfJiddeCuT5ncjItKChYUFNm/ejIkTJ+LDhw/IkycPGjRogPXr1ydHmDQyMsLOnTsxcOBAVK5cGRYWFujUqRNmzJiRvBxbW1vs378fgwYNQtmyZWFvb48RI0ZgxIgRhvpqucq+fftw79493Lt3L9WjP8DHGzpsx5zh+++/x4oVK5L/X6pUKQDA4cOHUaNGDbZjDtW+fXuEhITghx9+QFBQEAICArBr1y7kz5/f0FWjFM6fP4+aNWsm/z9pn+nevTuWL1+Ob7/9FlFRURg4cCDevXuHChUqYN++fbCxsUn+zKxZs2BsbIx27dohKioKtWvXxvLlyxkgTk/++usvAECNGjVSpS9btgw9evQAALZjDvHq1St07doVQUFBsLW1RfHixbFnzx7UrVsXANuRKLuSqTIwnCwsLAy2trYI3bQJCisr7YNOODlJpz97Jp1e7dOgEx+XcxhALQB7kWIuO6mgEyVLSi9D8FjuB3NHHDiwFy1aNMB//z2Gp2c+AOJgEaJVIJr6TtugE6LYEhaxodJviIJOiCqa2CkZFh4OW39/hIaGJo8mICIiIiIiIiIiw9FuhJ1Kpe7oEXXMiTqHHj2STn8hmCvu+nXJ5JA3KhRTqVC8dllMd3RCmb/3AgAcB3dMmznF3fGU7oalnZA4KOgpgoIu4OrViwCA+Hiz5I40BwfpKoo64BLnoU7DxUU6XbR8o0hB9FbROnZ3l04Xhbm1tFT/y9GERERERERERETZSo56JBZQP7bav/9wDBzYDRcvnkXp0uUztbwdO9bhm2+6IiEhAYD6kTYrKxsNnyIiIiIiIiIiItINvQSdyGqtW3eCkZERNm1al+llrVo1B6VLV8aJE7ewbdtxnD37EJZJo8+IiIiIiIiIiIj0LEd22BkZGSEhIQELFszGkSP7NX9A4Pz5E7h69Sxq1WoGH59CqFChCuzsHHD+/L+4dOlc8qg7IiIiIiIiIiIifcmRHXYA0L17PwBA167NP+vz796F4OuvO6BUqUB07z4MAPD6dTDKlfNCkyaBaNiwPPr2bcuIsUREREREREREpFc5tsOuShV1mPioqKjP+vyyZTMRERGGmTPXwjgxcmxMTDRevvwYCGPXri0IDCyPDx8+ZL7CREREREREREREGaBd0InYWMDYWByp9M0b6fS3b6XTRZFNBaPaHJ9cSv67XGJcCHuFAqhVK21mQR193dSPuT64fw6enh6wMH2OvHnsYGFkBNciznj4338oVakS3idGV7148QJq1qiMA3v2wNHRMXk5JvJ4yeVbKQQj8t5HS6dn1Qg+0XI0hbk1znFxR4iIiIiIiIiIvmg5doRdMR8f5HNzQ82yZTP8mfj4eBw7dgxjxo7Fvv37cevWLZSrWBGWNjY4d/48VCoV8ufLh0rly6NenTq4f+MGLp87h8dPnmDYiBE6/DZERET0JfPy8sLs2bMNXY00Hj16BJlMhsuXL2f4M8uXL4ednZ3O6pRd11V2klVtcPv2bbi5uSE8PDzzldLSjh07UKpUKU4/Q0REJJBjO+zkcjlGdu2KzYcO4c6rVxrz371/HyVr1ED1WrWwbMUKdO/WDTNnzEDrVq1gYmKCV8HBqN2oEeRWVjh+6hQqlS8P7wIFUKJECcz69VesWbcOe/ft08M3IyIiIl2RyWTpvnr06KHx81u3btVLXfXB09MTQUFBCAgIyPBn2rdvjzt37iT/f9KkSShZsqTWZYs6nc6dO4evvvpK6+WR9saPH49BgwbBxsZG72U3adIEMpkMa9eu1XvZREREOUGO7bADgN4tWsDa0hK/7N0LlUolzBcdHY16bdsiLi4Ox48cQdCzZ1i+dCm+Hj4c/9u4EbFRUWjSqBEa1qsHADA1NcWAvn2TP9+ta1cEFC2Kth074sGDBzr/XkRERKQbQUFBya/Zs2dDoVCkSvv9998NXcUMi02a3iITjIyM4Obmljyfb0ZYWFjAxcUl02WLODs7w9LSUmfLJ7Vnz55h+/bt6Nmzp8Hq0LNnT8yZM8dg5RMREWVnObrDzsrCAj8PHYolJ05gwbFjwnz/njuHR0+eYP2iRahSpQrkcumv/c3XX6NalSqoXaMGXF1dk9NlMhmOHDgABwcH9PrqKw7dJyIiyqHc3NySX7a2tpDJZKnS1q5di4IFC8LU1BSFChXCqlWrkj/r5eUFAGjZsiVkMlny/+/fv4/mzZvD1dUV1tbWKFeuHA4cOKBVvXr06IEWLVpg8uTJcHFxgUKhQL9+/VJ1ytWoUQODBw/GiBEj4OTkhLp16wIAbt68iUaNGsHa2hqurq7o2rUr3qSYV1ipVOLnn3+Gj48PzMzMkC9fPkydOhVA2kdijxw5AplMhp07d6JEiRIwNzdHhQoVcO3ateTlpRwZt3z5ckyePBlXrlxJHqW4fPlyAMDMmTNRrFgxWFlZwdPTEwMHDkRERERyOT179kRoaGjy5yZNmpS8nlM+EvvkyRM0b94c1tbWUCgUaNeuHV6leLoiaYTfqlWr4OXlBVtbW3To0CHdxzxDQkLQsWNH5M2bF5aWlihWrBjWrVuXKk+NGjUwdOhQfPvtt3BwcICbm1tyHbWt29KlS5EvXz5YW1tjwIABSEhIwC+//AI3Nze4uLgkt0eS9Nbdpx49egS5XI7z58+nSp8zZw7y588vvKm9ceNGlChRAnnz5k1OS2rbHTt2oFChQrC0tESbNm3w4cMHrFjx//buNCiqo90D+J+8w8gyLoAKBtFB4SqLqBDiGpRXvZPCF4MkSlwgRCncMObGgDdl1IiSiEEoN9TchEWiECOClqUEGNHgMu6QEDBSiFuCRMUNkUXgfkAmDJwDjIpg/P+qKIe2u88zPXw41fP0eWIhl8thZGSEhQsXorq6Wj1OLpdj9erV8PHxgUwmQ9++fbF3717cvHlTvT6DBg1qEuOkSZNw6tQpfiFOREQk4KXesAOA+VOnIsDVFR8lJOB4QYFgn+zffoO+vj4Gt3Dco7a2FleuXkXPHj2a/J+JiQk2r1+PIz//jO937HgusRMREVHHkZSUhEWLFmHx4sXIycnBnDlz8OGHHyIjIwNA3VFNAIiOjkZRUZH699LSUri5uSE9PR3nz5+HQqGAu7s7rl69qtX1lUol8vLykJGRgfj4eCQlJWHlypUafWJjYyGRSHDs2DFs27YNRUVFGDNmDIYMGYIzZ84gJSUFxcXFmDp1qnrMZ599htDQUCxbtgy5ubnYuXOnxheTQgIDAxEWFobTp0+jZ8+emDRpEqqqqpr08/LywuLFi2FnZ6fOUvTy8gJQ9/iSDRs2ICcnB7GxsTh06BCCgoIAACNHjmyS4fjpp582mb+2thYeHh4oKSnBkSNHkJaWhoKCAvU16hUUFCA5ORn79+/H/v37ceTIEaxZs0b0/ZWXl8PJyQn79+9HTk4O/P394e3tjZMnTzZZb0NDQ5w8eRJr165FcHAw0tLStI7t4MGDSElJQXx8PKKiojBx4kRcv34dR44cQWhoKD7//HOoVCr1mObWrjG5XI7x48cjOjpaoz06Ohq+vr7Q0dERHPfzzz/jDYFnQZeVlWHDhg1ISEhASkoKDh8+DE9PTxw4cAAHDhxAXFwcvvnmG+zevVtjXEREBEaNGoXz589j4sSJ8Pb2ho+PD2bOnIlz587BysoKPj4+GhuIffv2Rc+ePZGZmSkYIxER0avs6arEih2b6NJFuP1JRtq9sjJc+OMPDLO2bv46f/7Z7DyNhYeHI9vPD57ffov0b7+FvbW1OsY/i4rw/e7dsLexwWtS6d/VURsrK0PqoUO4cvUqJisUQFlZXbtMpu4y9q23YCmXY5a/P95ydoblk2/WNZSLVINtMI+Gx8LVZpuLU5BI1qCYh5Kudf+iuoWeREREr4awsDD4+vpi/vz5AIBPPvkEKpUKYWFhcHV1RY8nX+h169YNZmZm6nGDBw/G4MGD1b+vXr0aSUlJ2LdvHwICAlp9falUiqioKBgYGMDOzg7BwcEIDAzEqlWr1KcDrKyssHbtWvWY5cuXw9HREV9++aW6LSoqChYWFrh48SJ69eqF9evXY9OmTfjggw8AAP3798fo0aObjWXFihXqDL7Y2Fj07t0bSUlJGhuBQN3xWJlMBolEorEmAPDxxx+rX1taWmLVqlWYN28eIiMjIZVKNTIcxaSnp+OXX35BYWEhLCwsAABxcXGws7PD6dOn4ezsDKAuizAmJkb9LDZvb28olcommWv1zM3NNTYIFy5ciJSUFPz4448YNmyYut3BwQErVqwAAFhbW2PTpk1QKpWYMGGCVrFFRUWhc+fOsLW1haurK37//XccOHAAr732GgYMGIDQ0FAcPnwYw4cPb3HthPj5+WHu3LkIDw9Hp06dkJ2djaysLOzZs0d0bS9fvgwnJ6cm7VVVVdiyZQv69+8PAHjvvfcQFxeH4uJiyGQy9XvIyMjQ2Jx0c3PDnDlzANT9XW7ZsgXOzs6YMmUKAGDJkiUYMWIEiouLNT5zc3NzXL58WTROIiKiV9ULzbALSUrC/Kio5z6vrq4udoeHw9TEBMOmT8fm+Hj8np+PNRERsBs+HH8UFWFDaGizc9TU1ODtJzehI5/cYDVmaGiIM8ePo6amBoePHn3u74OIiIjaT15eHkaNGqXRNmrUKOTl5TU77uHDhwgKCoKtrS26desGmUyGCxcuaJ1hN3jwYI1nt40YMQKlpaW4du2auq1xRtTZs2eRkZEBmUym/hk4cCCAusyuvLw8VFRUYNy4cVrFMmLECPVrY2NjDBgwoMV1aCwjIwMTJkyAubk5OnfuDB8fH9y+fRsPHz5s9Rx5eXmwsLBQb4gBUK9zw3jkcrlG4YRevXrhr7/+Ep23uroaISEhcHBwgImJCWQyGVJTU5t8Zg4ODhq/N5z3aWMzNTWFra2txiNaTE1NNeLVdu08PDwgkUiQlJQEoG7T1tXVVX1sW8ijR4+gp6fXpN3AwEC9WVcfm1wuh6zBl8+N4wU016o+g3PQoEFN2hqP09fXR5nYF9JERESvsBe6YfcfR0eENDom8Lz0NDHB8e+/x3Q3NwSEhGCgszOC166Fp7s7flOpMFxkE67e7ZIS9Wt9fX3RfsbGxujfrx92Jyc3W+iCiIiIXj6Njw/W1taKHimsFxgYiMTERISEhCAzMxNZWVkYNGjQcykK0TgmQ0NDjf+rqamBu7s7srKyNH7y8/Ph4uLS7D3Ns8TRkitXrsDNzQ329vZITEzE2bNnsXnzZgAQPForRmz9G7fr6uo2ibW5Zw6vW7cOERERCAoKwqFDh5CVlQWFQtHkM2tu3meJrbl5n2btpFIpvL29ER0djcrKSuzcuROzZs0Sff8A0L17d9y5c6dJu7bxCo2rf/9CbY3HlZSUqLNXiYiI6G/aHYl9Ri42Nm06v6GBAf5v5Uos9feH6vp1/Pe//w1jI6NWjTV68vBkE2PjFvuGrVkDjylTELtzJ3xnzHiWkImIiKiDsLGxwdGjR+Hj46NuO378OGwa3L/o6upqPGwfADIzM+Hr64vJkycDqHum3dMc8cvOzsajR4/Um2wqlQoymUyjKEBjjo6OSExMhFwuF6z0am1tDX19fSiVSvj5+bU6FpVKhT59+gAA7ty5g4sXL6oz9xqTSqVN1uTMmTN4/Pgx1q1bp84k27VrV4vjGrO1tcXVq1dx7do1dSZbbm4u7t27p/G5aCszMxPvvPMOZs6cCaBuEyk/P1+rOdsqttasnRA/Pz/Y29sjMjISVVVV8PT0bLb/0KFDkZub+9RxPg/l5eUoKCjA0KFD2zUOIiKijuilLzohRG5ujvfffbfVm3UAIJFI4Dx0KNwVihb7vuPujulTpuDTpUtbvNEkIiKil0NgYCBiYmKwdetW5OfnIzw8HHv27NF41plcLodSqcSNGzfU2UlWVlbYs2cPsrKykJ2djenTpz9VRfnKykrMnj0bubm5OHjwIFasWIGAgADR6vYAsGDBApSUlGDatGnqapupqamYNWsWqquroaenhyVLliAoKAjbt29HQUEBVCoVvvvuu2ZjCQ4OhlKpRE5ODnx9fdG9e3d4eHgI9pXL5SgsLERWVhZu3bqFiooK9O/fH48fP8bGjRtx6dIlxMXFYevWrU3GlZaWQqlU4tatW4LHIsePHw8HBwfMmDED586dw6lTp+Dj44MxY8YIFkxoLSsrK6SlpeH48ePIy8vDnDlzcOPGDa3maKvYWrN2QmxsbDB8+HAsWbIE06ZNazG7UqFQ4MSJE+16L6tSqdCpUyeNI9hERERU5x+5Yfe0BlhZ4aJIpdnGFs2bh9slJdjxww9tHBURERG9CB4eHli/fj2+/vpr2NnZYdu2bYiOjsbYsWPVfdatW4e0tDRYWFios4IiIiJgZGSEkSNHwt3dHQqFAo6Ojlpff9y4cbC2toaLiwumTp0Kd3d3fPHFF82Oef3113Hs2DFUV1dDoVDA3t4eixYtQteuXdUbfcuWLcPixYuxfPly2NjYwMvLq9nnuwHAmjVrsGjRIjg5OaGoqAj79u2DVCoV7Pvuu+/i7bffVhfmiI+Px5AhQxAeHo7Q0FDY29tjx44d+OqrrzTGjRw5EnPnzoWXlxd69OihUUyjno6ODpKTk2FkZAQXFxeMHz8e/fr1ww/PeP+1bNkyODo6QqFQYOzYsTAzMxPdkBTTVrG1Zu3EzJ49G5WVlS0ehwXqikTo6uoiPT39meJ9FvHx8ZgxY4bGsxuJiIiojk5tKx7Edv/+fXTt2hX3du1CFwMD8YqkzVT5EiRWbVbMk2OrTfTs2bTt0iXhviKxny0dgI0b/xfp6buwd+/fY52MC4Xn6dMHbwwbBqmuLo5lZrb8XJf794Xbxb6BF2vXshrsPYlJs+E8eHAfdnZdce/ePXQRq/JLREREbcrX1xd3795FcnJyu8Zx+PBhuLq64s6dO+gmdt9FHVZISAgSEhLw66+/tqp/ZGQk9u7di59++qmNI2vq5s2bGDhwIM6cOQNLS8sXfn0iIqKOjhl2DRgbm+L27eJW91+5fDlOqFQsRU9ERERE7aa0tBSnT5/Gxo0b8dFHH7V6nL+/P1xcXPDgwYM2jE5YYWEhIiMjuVlHREQkght2DZiYmKK8vAxlZaWt6l+fkfa8qsAREREREWkrICAAo0ePxpgxY1p1HLaeRCLB0qVL0blz5zaMTtibb74JLy+vF35dIiKil8ULrRLb0RkbmwIASkqKYWAga7H/rdu3AaBdbnKIiIjonyMmJqa9QwAAjB07Fq14Wgp1MDExMR3mb4iIiIieD2bYNdC37wAAwC+/nGhV/59SU2FpaYlevXq1ZVhERERERERERPQK4YZdA6amvTFkyGikpia02LeoqAjxCQl4f+rUlgtOEBERERERERERtZJ2R2J1dQGptO5HyOPHwu0ykeOlYtXHxKqVlpUJtwtVTtXT02oOJ8e64x/T3v8PVgYHw9amDPr6+kBZ0wq0J06exIzZsyEzNMT/zJ8PNHyGndjz7MTK1ZeUCLeLrHFVF+Gqr2LFYw1Eis3WfyRixWuJiIiIiIiIiKh9MMOuEU9PT5SVlWH79u0a7Y8ePcKuxERMfv99jJ4wAWampjiqVKJHjx7tFCkREREREREREf0TsehEI1ZWVpg+fToWBAQgJycHQ2xtceHiRUTHxeF2SQnecHTExrAw+Pv5QSLh8hERERERERER0fPFHScBsTExsJTLsT0uDps2b4aZqSlmeHlhgb8//svauq6T2BlUIiIiIiIiIiKiZ8ANOwESiQSrV6/GqlWrUHn3Ljp16tTeIRERERERERER0SuCaWLN0NHR4WYdERERERERERG9UNpl2JmY1JUX1fY4qNiz3srLhdvFqs2KVY8Vml+sKqtY+6VLwu1iFW7FKtaKvafevQWba816Cbbr1FQLzyNS9VXssjUi/es/QrFxRERERERERETUPphhR0RERERERERE1IFolWF3/+HDuhfaZtiJpXn961/C7c+j+uqDB9r1Ly0Vbq+tFW4Xy7CrqBBuv39fePoa4fnFMuyqaoTXrLJS+LItZdg9eCAcFxERERERERERtQ+d2lqxHam/VVRUQE9P70XEQ+3AzMwMhYWF/IyJiIiIiIiIiDqAVm3YAXWbdhVi2WP0UpNKpdysIyIiIiIiIiLqIFq9YUdERERERERERERtj0UniIiIiIiIiIiIOhBu2BEREREREREREXUg3LAjIiIiIiIiIiLqQLhhR0RERERERERE1IFww46IiIiIiIiIiKgD4YYdERERERERERFRB8INOyIiIiIiIiIiog7k/wHVDiboiHx5AgAAAABJRU5ErkJggg==\n", + "image/png": "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", "text/plain": [ "
" ] @@ -6367,7 +6367,7 @@ "\n", "We would like now to repeat the steps for the hindcast data in order to show the forecast in the context of the reference climate. I.e. we will compare the seasonal forecast and hindcast anomalies for each lead-time month. In the final plot we will show the anomaly of each forecast ensemble member, while the model climate defined by the hindcasts will be represented in the form of tercile categories. This will put each ensemble member forecast anomaly into context and will give us an indication of its intensity.\n", "\n", - "We therefore revisit the hindcast data (`tprate_hindcast`), which we loaded in [section 2](#hindcast_climate_mean) above. We will apply the same steps to create a geographical subset and aggregate spatially." + "We therefore revisit the hindcast data (`tprate_hindcast`), which we loaded in section 2 above. We will apply the same steps to create a geographical subset and aggregate spatially." ] }, { @@ -6647,7 +6647,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] diff --git a/cds-tutorial.html b/cds-tutorial.html index 7e2ede1..ab8d76f 100644 --- a/cds-tutorial.html +++ b/cds-tutorial.html @@ -32,7 +32,7 @@ - + @@ -526,8 +526,8 @@

About#<

Data retrieval#

There are two ways to access data from the Copernicus Climate Data Store (CDS):

    -

  • interactively via the CDS web interface, or

    • -

  • programmatically with the CDS API

    • +

  • interactively via the CDS web interface, or

    • +

  • programmatically with the CDS API

Access data interactively via the CDS web interface#

@@ -550,7 +550,7 @@

Submit the Download data form"Download data" form, you get three options: Show API request, Show Toolbox request and Submit Form. If you want to download the data interactively, the data requests will be executed as soon as you click on the Submit Form button.

Note: You need to be logged into the ADS portal and you have to accept the Terms and Conditions of the dataset before being able to download data.

-

You will need the Show API request, if you want to request data programmatically. See Section 2.2 for further information. You will need the Show Toolbox request if you want to request data via the CDS Toolbox. Learn more about the CDS Toolbox here.

+

You will need the Show API request, if you want to request data programmatically. See Section 2.2 for further information. You will need the Show Toolbox request if you want to request data via the CDS Toolbox. Learn more about the CDS Toolbox here.

NOTE:
Under the tab Your requests in the main menu, you can monitor the status of your data requests.
@@ -636,9 +636,6 @@

Further resources#

Example: ERA5-Land hourly data from 1950 to present#

-
-

CDS API name: reanalysis-era5-land

    diff --git a/ci-windchill.html b/ci-windchill.html index 86d55f0..0ec4be1 100644 --- a/ci-windchill.html +++ b/ci-windchill.html @@ -32,7 +32,7 @@ - + diff --git a/ecv-notebooks/erb-outgoing-longwave-radiation.html b/ecv-notebooks/erb-outgoing-longwave-radiation.html index a468fa1..80a1ccb 100644 --- a/ecv-notebooks/erb-outgoing-longwave-radiation.html +++ b/ecv-notebooks/erb-outgoing-longwave-radiation.html @@ -32,7 +32,7 @@ - + @@ -777,7 +777,7 @@

    Plot dataHarrison et al.).

    +TOA. Antarctica is cooler than the corresponding northern latitudes (Harrison et al.).

@@ -912,7 +912,7 @@

Use case 3: OLR evolution in the ArcticHansen et al, 2010), while the relative stability of the first part of the time +temperature in the Arctic (Hansen et al, 2010), while the relative stability of the first part of the time series is more difficult to interpret due to the major volcanic eruptions in this period.

@@ -927,7 +927,6 @@

Get more information about Earth Radiation Budget:References#

Hansen, J., Ruedy, R., Sato, M., & Lo, K., (2010). Global surface temperature change. Reviews of Geophysics, 48(4).

Harrison, E.F., Gurney, R. J., Foster, J. L., Gurney, R. J., & Parkinson, C. L. (1993). Atlas of satellite observations related to global change. Chapter: Radiation Budget at the top of the atmosphere. Cambridge University Press.

-

Back to top the Page

diff --git a/ecv-notebooks/srb-climatology-and-anomaly.html b/ecv-notebooks/srb-climatology-and-anomaly.html index 3c5a07e..131f377 100644 --- a/ecv-notebooks/srb-climatology-and-anomaly.html +++ b/ecv-notebooks/srb-climatology-and-anomaly.html @@ -32,7 +32,7 @@ - + @@ -2241,7 +2241,7 @@

Plot of the temporal average of SIS

Use case 2: Relative Anomaly. Hot summer of the year 2003 in Europe#

-

Please note that you need to open the dataset to be able to execute this usecase, as described in the previous section “Load dataset”.

+

Please note that you need to open the dataset to be able to execute this usecase, as described in the previous load data section.

The spatial resolution of the CLARA-A3 radiation dataset is 0.25ºx0.25º that is roughly equal to 25x25 km. With this resolution, it is possible to conduct a regional analysis using the CLARA-A3 radiation datasets. Furthermore, we can use the CLARA-A3 radiation datasets to investigate recent meteorological events. This could be a research project for a student or provide complementary information on a special event, e.g., the analysis of recent heat waves. In recent years, a high number of heat waves appeared in Europe. Particularly interesting is the summer 2003.

Firstly, we will select the data for year 2003 using sel argument.

Then, we split the SRB data according to the seasons by using the groupby() method, with 'time.season' as an argument, and then averaged over the years. diff --git a/ecv-notebooks/total-column-water-vapour-combi.html b/ecv-notebooks/total-column-water-vapour-combi.html index 8e92dcf..ffa089a 100644 --- a/ecv-notebooks/total-column-water-vapour-combi.html +++ b/ecv-notebooks/total-column-water-vapour-combi.html @@ -32,7 +32,7 @@ - + diff --git a/ecv-notebooks/total-ozone-columns.html b/ecv-notebooks/total-ozone-columns.html index 8e50612..2760701 100644 --- a/ecv-notebooks/total-ozone-columns.html +++ b/ecv-notebooks/total-ozone-columns.html @@ -32,7 +32,7 @@ - + diff --git a/genindex.html b/genindex.html index 2d188d8..d29f57d 100644 --- a/genindex.html +++ b/genindex.html @@ -31,7 +31,7 @@ - + diff --git a/glofas-bangladesh-floods.html b/glofas-bangladesh-floods.html index e97368e..cb9457e 100644 --- a/glofas-bangladesh-floods.html +++ b/glofas-bangladesh-floods.html @@ -32,7 +32,7 @@ - + diff --git a/intro.html b/intro.html index f492b7b..8951e48 100644 --- a/intro.html +++ b/intro.html @@ -32,7 +32,7 @@ - + diff --git a/projections-cmip6.html b/projections-cmip6.html index 2b15b38..f208688 100644 --- a/projections-cmip6.html +++ b/projections-cmip6.html @@ -32,7 +32,7 @@ - + diff --git a/projections-cordex.html b/projections-cordex.html index 409f087..451352d 100644 --- a/projections-cordex.html +++ b/projections-cordex.html @@ -32,7 +32,7 @@ - + diff --git a/reanalysis-climatology.html b/reanalysis-climatology.html index 2ec5efd..2513c5a 100644 --- a/reanalysis-climatology.html +++ b/reanalysis-climatology.html @@ -32,7 +32,7 @@ - + @@ -1663,7 +1663,7 @@

3. Anomaly calculation

4. Calculate monthly climatology and anomalies#

-

We will now calculate the monthly climatology of near-surface air temperature for the period 1991 to 2020. We will also view the anomalies with respect to the climatology for a particular month. To do this, we return to the data array created at the end of section 1.

+

We will now calculate the monthly climatology of near-surface air temperature for the period 1991 to 2020. We will also view the anomalies with respect to the climatology for a particular month. To do this, we return to the data array created at the end of section 1.

We first create again a temporal subset for the period 1991 to 2020, but this time keeping the monthly temporal resolution.

@@ -1855,7 +1855,7 @@

5. Time series analysis

-

We will repeat the steps in section 1 to read the data into an xarray data array:

+

We will repeat the steps in section 1 to read the data into an xarray data array:

Arc_file = f'{DATADIR}era5_monthly_t2m_Arc.nc'
@@ -1865,7 +1865,7 @@ 
5. Time series analysis
-

We will also repeat the steps in section 1 to convert the values from degrees Kelvin to Celsius:

+

We will also repeat the steps in section 1 to convert the values from degrees Kelvin to Celsius:

Arc = Arc_da - 273.15
diff --git a/reanalysis-heatwave.html b/reanalysis-heatwave.html
index a488030..f58a7f5 100644
--- a/reanalysis-heatwave.html
+++ b/reanalysis-heatwave.html
@@ -32,7 +32,7 @@
     
     
     
-    
+    
     
     
   
diff --git a/reanalysis-temp-record.html b/reanalysis-temp-record.html
index 972fbb2..38d82e1 100644
--- a/reanalysis-temp-record.html
+++ b/reanalysis-temp-record.html
@@ -32,7 +32,7 @@
     
     
     
-    
+    
     
     
   
diff --git a/search.html b/search.html
index 6c8cbf5..ba29d17 100644
--- a/search.html
+++ b/search.html
@@ -30,7 +30,7 @@
     
     
     
-    
+    
     
     
   
diff --git a/searchindex.js b/searchindex.js
index 4315143..12f9517 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"alltitles": {"1. Introduction": [[2, "introduction"]], "1. Request data from the CDS programmatically with the CDS API": [[13, "request-data-from-the-cds-programmatically-with-the-cds-api"]], "1. Request data from the CDS using CDS API": [[14, "request-data-from-the-cds-using-cds-api"]], "1. Search and download the data": [[15, "search-and-download-the-data"]], "1. Search, download and view data": [[10, "search-download-and-view-data"], [12, "search-download-and-view-data"]], "1a. Retrieve hindcast data": [[14, "a-retrieve-hindcast-data"]], "1b. Retrieve observations data (ERA5)": [[14, "b-retrieve-observations-data-era5"]], "2. Calculate a surface temperature climatology: reference period 1991-2020": [[12, "calculate-a-surface-temperature-climatology-reference-period-1991-2020"]], "2. Calculate climate normals": [[10, "calculate-climate-normals"]], "2. Calculate seasonal hindcast climate mean": [[13, "calculate-seasonal-hindcast-climate-mean"]], "2. Compute deterministic and probabilistic products from the hindcast data": [[14, "compute-deterministic-and-probabilistic-products-from-the-hindcast-data"]], "2. Prerequisites and data preparations": [[2, "prerequisites-and-data-preparations"]], "2.1 How to access the notebook": [[2, "how-to-access-the-notebook"]], "2.2 Import libraries": [[2, "import-libraries"]], "2.3 Download data using CDS API": [[2, "download-data-using-cds-api"]], "2022 vs 1991-2020 as Climate": [[15, "vs-1991-2020-as-climate"]], "2: Calculate the ESoTC FWI metric": [[15, "calculate-the-esotc-fwi-metric"]], "2a. Anomalies": [[14, "a-anomalies"]], "2b. Probabilities for tercile categories": [[14, "b-probabilities-for-tercile-categories"]], "3. Anomaly calculation": [[10, "anomaly-calculation"]], "3. Compute deterministic and probabilistic scores": [[14, "compute-deterministic-and-probabilistic-scores"]], "3. Load monthly seasonal forecast data for 2021 and calculate seasonal forecast anomalies": [[13, "load-monthly-seasonal-forecast-data-for-2021-and-calculate-seasonal-forecast-anomalies"]], "3. Plot the data as maps": [[15, "plot-the-data-as-maps"]], "3. Use Cases": [[2, "use-cases"]], "3. Visualise surface temperature anomalies": [[12, "visualise-surface-temperature-anomalies"]], "3a. Read observations data into a xr.Dataset": [[14, "a-read-observations-data-into-a-xr-dataset"]], "3b. Compute deterministic scores": [[14, "b-compute-deterministic-scores"]], "3c. Compute probabilistic scores for tercile categories": [[14, "c-compute-probabilistic-scores-for-tercile-categories"]], "4. Calculate monthly climatology and anomalies": [[10, "calculate-monthly-climatology-and-anomalies"]], "4. View time series and analyse surface temperature trends": [[12, "view-time-series-and-analyse-surface-temperature-trends"]], "4. Visualize seasonal forecast anomalies for a geographical subregion": [[13, "visualize-seasonal-forecast-anomalies-for-a-geographical-subregion"]], "4. Visualize verification plots": [[14, "visualize-verification-plots"]], "4.1 Spatial map visualization": [[13, "spatial-map-visualization"]], "4.2 Plot of total precipitation anomalies for each seasonal forecast month": [[13, "plot-of-total-precipitation-anomalies-for-each-seasonal-forecast-month"]], "4a. Correlation": [[14, "a-correlation"]], "4b. Ranked Probability Score (RPS)": [[14, "b-ranked-probability-score-rps"]], "4c. Area under Relative Operating Characteristic (ROC) curve": [[14, "c-area-under-relative-operating-characteristic-roc-curve"]], "5. Calculate seasonal forecast 3-month anomalies": [[13, "calculate-seasonal-forecast-3-month-anomalies"]], "5. Time series analysis": [[10, "time-series-analysis"]], "5. View time series and analyse North Atlantic sea surface temperature trends": [[12, "view-time-series-and-analyse-north-atlantic-sea-surface-temperature-trends"]], "About": [[0, "about"], [1, "about"], [6, "about"], [8, "about"], [9, "about"], [10, "about"], [12, "about"], [13, "about"], [14, "about"]], "Access data interactively via the CDS web interface": [[0, "access-data-interactively-via-the-cds-web-interface"]], "Access data programmatically with the CDS API": [[0, "access-data-programmatically-with-the-cds-api"]], "Accessing the upstream area data": [[6, "accessing-the-upstream-area-data"]], "Aggregate over geographical lat/lon dimensions": [[10, "aggregate-over-geographical-lat-lon-dimensions"]], "Alternative: Set CDS API credentials manually": [[0, "alternative-set-cds-api-credentials-manually"]], "Analysis and visualisation of the data": [[5, "analysis-and-visualisation-of-the-data"]], "Analysis of Projected versus Historical Climatology with CORDEX Data": [[9, null]], "Analysis of September 2020 European Heatwave using ERA5 Climate Reanalysis Data from C3S": [[11, null]], "Appendix": [[4, "appendix"]], "Apply weights and calculate the rolling mean": [[2, "apply-weights-and-calculate-the-rolling-mean"]], "Atmosphere Monitoring Tutorials": [[7, null]], "Average over ensemble members and years to create hindcast climatology": [[13, "average-over-ensemble-members-and-years-to-create-hindcast-climatology"]], "Average over region": [[13, "average-over-region"]], "Calculate 2021 anomalies": [[13, "calculate-2021-anomalies"]], "Calculate anomalies": [[13, "calculate-anomalies"]], "Calculate monthly anomalies": [[10, "calculate-monthly-anomalies"]], "Calculate quantiles for model ensemble": [[8, "calculate-quantiles-for-model-ensemble"]], "Calculate temporal mean and convert longitude to [-180, 180] grid": [[2, "calculate-temporal-mean-and-convert-longitude-to-180-180-grid"]], "Calculate the anomaly in the number of days with Fire Weather Index > 50": [[15, "calculate-the-anomaly-in-the-number-of-days-with-fire-weather-index-50"]], "Calculate wind chill index": [[1, "calculate-wind-chill-index"]], "Calculation of global climatology and relative anomalies of Surface Radiation Budget from EUMETSAT\u2019s CM SAF CLARA-A3 dataset": [[3, null]], "Calculation of global distribution and timeseries of Outgoing Longwave Radiation (OLR) using NOAA/NCEI HIRS data": [[2, null]], "Calculation of hindcast anomaly terciles": [[13, "calculation-of-hindcast-anomaly-terciles"]], "Calculation of the temporal average of SIS": [[3, "calculation-of-the-temporal-average-of-sis"]], "Change representation of forecast lead time": [[13, "change-representation-of-forecast-lead-time"]], "Change temperature units from Kelvin to Celsius": [[10, "change-temperature-units-from-kelvin-to-celsius"], [12, "change-temperature-units-from-kelvin-to-celsius"]], "Climate Data Store (CDS)": [[7, null]], "Climate Data Store Tutorial": [[0, null]], "Climatology of the total column water vapour": [[4, "climatology-of-the-total-column-water-vapour"]], "Common variables": [[14, "common-variables"]], "Compare maximum temperatures with climatology": [[11, "compare-maximum-temperatures-with-climatology"]], "Compare the June 2022 river discharge to the previous 10 years": [[6, "compare-the-june-2022-river-discharge-to-the-previous-10-years"]], "Compute 3-month rolling averages": [[13, "compute-3-month-rolling-averages"]], "Compute CORDEX future climatology for target period 2071-2100 based on scenario RCP4.5": [[9, "compute-cordex-future-climatology-for-target-period-2071-2100-based-on-scenario-rcp4-5"]], "Compute CORDEX historical climatology for reference period 1971-2000": [[9, "compute-cordex-historical-climatology-for-reference-period-1971-2000"]], "Compute and visualize the climate change signal between the target (2071-2100) and reference (1971-2000) period": [[9, "compute-and-visualize-the-climate-change-signal-between-the-target-2071-2100-and-reference-1971-2000-period"]], "Conclusion": [[4, "conclusion"]], "Contents": [[7, "contents"]], "Conversion from Kelvin to Celsius": [[8, "conversion-from-kelvin-to-celsius"]], "Conversion of data into two dimensional pivot table": [[13, "conversion-of-data-into-two-dimensional-pivot-table"]], "Convert forecast lead time month into dates": [[13, "convert-forecast-lead-time-month-into-dates"]], "Convert from precipitation rates to accumulation": [[13, "convert-from-precipitation-rates-to-accumulation"]], "Convert longitude to [-180, 180] grid": [[10, "convert-longitude-to-180-180-grid"]], "Convert precipitation rate to accumulation in mm": [[13, "convert-precipitation-rate-to-accumulation-in-mm"]], "Copernicus Climate Change Service (C3S) Data Tutorials": [[7, null]], "Create a list of the extracted files": [[8, "create-a-list-of-the-extracted-files"]], "Create additional data dimensions (to later combine data from multiple models & experiments)": [[8, "create-additional-data-dimensions-to-later-combine-data-from-multiple-models-experiments"]], "Create plot titles base information": [[14, "create-plot-titles-base-information"]], "Data": [[8, "data"], [9, "data"]], "Data retrieval": [[0, "data-retrieval"]], "Data to be used": [[12, "data-to-be-used"]], "Dataset description": [[3, "dataset-description"], [4, "dataset-description"]], "Define a geographical subset": [[13, "define-a-geographical-subset"]], "Download Data Using CDS API": [[4, "download-data-using-cds-api"]], "Download data": [[1, "download-data"], [4, "download-data"], [6, "download-data"], [10, "download-data"], [11, "download-data"], [12, "download-data"]], "Download data using CDS API": [[3, "download-data-using-cds-api"]], "Downloading the GTO-ECV product": [[5, "downloading-the-gto-ecv-product"]], "Ensemble mean anomaly": [[13, "ensemble-mean-anomaly"]], "Enter your CDS API key": [[1, "enter-your-cds-api-key"], [10, "enter-your-cds-api-key"], [11, "enter-your-cds-api-key"], [12, "enter-your-cds-api-key"], [15, "enter-your-cds-api-key"]], "Enter your EWDS API key": [[6, "enter-your-ewds-api-key"]], "Example data request": [[0, "example-data-request"]], "Example: ERA5-Land hourly data from 1950 to present": [[0, "example-era5-land-hourly-data-from-1950-to-present"]], "Exercise: Repeat process with ERA5 data and compare results": [[1, "exercise-repeat-process-with-era5-data-and-compare-results"]], "Explore and view the data": [[6, "explore-and-view-the-data"]], "Exploring Total Column Water Vapour information in the COMBI dataset": [[4, null]], "Exploring an ozone product available through the Climate Data Store (CDS)": [[5, null]], "Extract data array from dataset": [[13, "extract-data-array-from-dataset"]], "Filter and select a dataset": [[0, "filter-and-select-a-dataset"]], "Find the fire danger indices historical data": [[15, "find-the-fire-danger-indices-historical-data"]], "Find the river discharge data we want": [[6, "find-the-river-discharge-data-we-want"]], "Further resources": [[0, "further-resources"]], "Get more information about Earth Radiation Budget:": [[2, "get-more-information-about-earth-radiation-budget"]], "Get more information about Surface Radiation Budget": [[3, "get-more-information-about-surface-radiation-budget"]], "Getting an overview of the study area": [[6, "getting-an-overview-of-the-study-area"]], "Global time series of TCWV": [[4, "global-time-series-of-tcwv"]], "How to run these tutorials": [[7, "how-to-run-these-tutorials"]], "How to run this tutorial": [[14, "how-to-run-this-tutorial"]], "Import libraries": [[1, "import-libraries"], [3, "import-libraries"], [4, "import-libraries"], [6, "import-libraries"], [10, "import-libraries"], [11, "import-libraries"], [12, "import-libraries"]], "Import the python modules": [[5, "import-the-python-modules"]], "Importing all the necessary python libraries": [[15, "importing-all-the-necessary-python-libraries"]], "Infrastructure introduction (installing API of the CDS)": [[12, "infrastructure-introduction-installing-api-of-the-cds"]], "Inspect Data": [[1, "inspect-data"], [11, "inspect-data"]], "Inspect data": [[4, "inspect-data"], [10, "inspect-data"], [12, "inspect-data"]], "Install CDS API": [[1, "install-cds-api"], [10, "install-cds-api"], [11, "install-cds-api"]], "Install CDS API via pip": [[8, "install-cds-api-via-pip"], [9, "install-cds-api-via-pip"]], "Install EWDS API": [[6, "install-ewds-api"]], "Install packages": [[13, "install-packages"]], "Install the CDS API client": [[0, "install-the-cds-api-client"]], "Install the CDS API key": [[0, "install-the-cds-api-key"]], "Installation on your computer": [[12, "installation-on-your-computer"]], "Introduction": [[3, "introduction"], [4, "introduction"]], "Load and inspect data": [[8, "load-and-inspect-data"]], "Load and inspect the global data with xarray": [[15, "load-and-inspect-the-global-data-with-xarray"]], "Load and prepare CMIP6 data for all models and experiments": [[8, "load-and-prepare-cmip6-data-for-all-models-and-experiments"]], "Load and prepare CMIP6 data for one model and one experiment": [[8, "load-and-prepare-cmip6-data-for-one-model-and-one-experiment"]], "Load dataset": [[3, "load-dataset"]], "Load dataset, subselect and calculate temporal mean": [[2, "load-dataset-subselect-and-calculate-temporal-mean"]], "Load libraries": [[8, "load-libraries"], [9, "load-libraries"]], "Load packages": [[13, "load-packages"], [14, "load-packages"]], "Load seasonal forecast data for 2021 and change representation of forecast lead time": [[13, "load-seasonal-forecast-data-for-2021-and-change-representation-of-forecast-lead-time"]], "Map the number of days that the river discharge exceeded the 90th percentile of the 10-year period.": [[6, "map-the-number-of-days-that-the-river-discharge-exceeded-the-90th-percentile-of-the-10-year-period"]], "Mask the river discharge data": [[6, "mask-the-river-discharge-data"]], "Merge the two ERA5 experiments (1 and 5, expver = [1,5])": [[12, "merge-the-two-era5-experiments-1-and-5-expver-1-5"]], "Monthly climatology of TCWV": [[4, "monthly-climatology-of-tcwv"]], "Observing major flood events with GLOFAS": [[6, null]], "Outline": [[0, "outline"]], "Plot an Ensemble of CMIP6 Climate Projections": [[8, null]], "Plot data": [[2, "plot-data"], [2, "id1"], [4, "plot-data"], [4, "id1"], [10, "plot-data"]], "Plot of the relative anomaly in 2003 of SIS for Europe in relation to the temporal average of SIS": [[3, "plot-of-the-relative-anomaly-in-2003-of-sis-for-europe-in-relation-to-the-temporal-average-of-sis"]], "Plot of the temporal average of SIS": [[3, "plot-of-the-temporal-average-of-sis"]], "Plotting Timeseries of Weekly": [[15, "plotting-timeseries-of-weekly"]], "Plotting one timestep": [[12, "plotting-one-timestep"]], "Prerequisites and data acquisition": [[3, "prerequisites-and-data-acquisition"]], "Produce maps for each of the ESOTC Regions": [[15, "produce-maps-for-each-of-the-esotc-regions"]], "Read the downloaded data": [[13, "read-the-downloaded-data"]], "Reduce the upstream area to the domain of the data": [[6, "reduce-the-upstream-area-to-the-domain-of-the-data"]], "References": [[2, "references"]], "Repeat steps for hindcast data (to compare forecast and hindcast anomalies)": [[13, "repeat-steps-for-hindcast-data-to-compare-forecast-and-hindcast-anomalies"]], "Request data from the CDS programmatically with the CDS API": [[8, "request-data-from-the-cds-programmatically-with-the-cds-api"], [9, "request-data-from-the-cds-programmatically-with-the-cds-api"]], "Running on Colab or Kaggle": [[12, "running-on-colab-or-kaggle"]], "Search and download the data": [[6, "search-and-download-the-data"]], "Search for climate data to calculate wind chill index": [[1, "search-for-climate-data-to-calculate-wind-chill-index"]], "Search for data": [[2, "search-for-data"], [3, "search-for-data"], [4, "search-for-data"], [10, "search-for-data"], [11, "search-for-data"], [12, "search-for-data"]], "Search, download and view data": [[1, "search-download-and-view-data"], [4, "search-download-and-view-data"], [11, "search-download-and-view-data"]], "Seasonal Forecast Anomalies": [[13, null]], "Seasonal Forecast Verification": [[14, null]], "Seasonal analysis of Arctic near-surface air temperature": [[10, "seasonal-analysis-of-arctic-near-surface-air-temperature"]], "Set up CDS API credentials": [[2, "set-up-cds-api-credentials"], [3, "set-up-cds-api-credentials"], [4, "set-up-cds-api-credentials"], [5, "set-up-cds-api-credentials"]], "Setup your environment": [[6, "setup-your-environment"]], "Spatial aggregation": [[4, "spatial-aggregation"], [8, "spatial-aggregation"]], "Standard reference period and climate normals": [[10, "standard-reference-period-and-climate-normals"]], "Standard reference periods and climatologies": [[12, "standard-reference-periods-and-climatologies"]], "Submit the Download data form": [[0, "submit-the-download-data-form"]], "Temporal aggregation": [[8, "temporal-aggregation"]], "The evolution of the global ozone distribution during the course of the year 2021": [[5, "the-evolution-of-the-global-ozone-distribution-during-the-course-of-the-year-2021"]], "The evolution of the ozone hole above Antarctica": [[5, "the-evolution-of-the-ozone-hole-above-antarctica"]], "The merged total column product": [[5, "the-merged-total-column-product"]], "This is a new exercise. In this part of the tutorial we will be working with monthly sea surface temperature (SST) data.": [[12, "this-is-a-new-exercise-in-this-part-of-the-tutorial-we-will-be-working-with-monthly-sea-surface-temperature-sst-data"]], "Time averaged global climatological distribution of TCWV": [[4, "time-averaged-global-climatological-distribution-of-tcwv"]], "Time averaged seasonal climatological distribution of TCWV": [[4, "time-averaged-seasonal-climatological-distribution-of-tcwv"]], "Time series and trend analysis of the total column water vapour": [[4, "time-series-and-trend-analysis-of-the-total-column-water-vapour"]], "Time series diagram of ozone": [[5, "time-series-diagram-of-ozone"]], "Time series of the ozone hole over the years in the polar projection during October": [[5, "time-series-of-the-ozone-hole-over-the-years-in-the-polar-projection-during-october"]], "Trend analysis and seasonal cycle of TCWV": [[4, "trend-analysis-and-seasonal-cycle-of-tcwv"]], "Tutorial on Climatologies using Climate Data from C3S": [[10, null]], "Tutorial on July 2023 record-breaking global surface temperatures using climate data from C3S": [[12, null]], "Tutorials on Bias Correction": [[7, null]], "Tutorials on Climate Indices": [[7, null]], "Tutorials on Climate Projections": [[7, null]], "Tutorials on Observations": [[7, null]], "Tutorials on Reanalysis": [[7, null]], "Tutorials on Seasonal Forecasts": [[7, null]], "Tutorials using EFFIS and GloFAS data": [[7, null]], "Unpack and merge data": [[2, "unpack-and-merge-data"]], "Unzip the downloaded data files": [[8, "unzip-the-downloaded-data-files"], [9, "unzip-the-downloaded-data-files"]], "Use case 1: Climatology of the Outgoing Longwave Radiation (OLR)": [[2, "use-case-1-climatology-of-the-outgoing-longwave-radiation-olr"]], "Use case 1: The mean global Surface Incoming Shortwave (SIS) radiation distribution": [[3, "use-case-1-the-mean-global-surface-incoming-shortwave-sis-radiation-distribution"]], "Use case 2: Global time series of the OLR": [[2, "use-case-2-global-time-series-of-the-olr"]], "Use case 2: Relative Anomaly. Hot summer of the year 2003 in Europe": [[3, "use-case-2-relative-anomaly-hot-summer-of-the-year-2003-in-europe"]], "Use case 3: OLR evolution in the Arctic": [[2, "use-case-3-olr-evolution-in-the-arctic"]], "Use the CDS API client for data access": [[0, "use-the-cds-api-client-for-data-access"]], "View daily maximum 2m temperature for September 2020": [[11, "view-daily-maximum-2m-temperature-for-september-2020"]], "View data": [[4, "view-data"]], "View time-series": [[8, "view-time-series"]], "Visualise 3-monthly total precipitation ensemble mean anomalies": [[13, "visualise-3-monthly-total-precipitation-ensemble-mean-anomalies"]], "Visualise Europen near-surface temperature anomalies for one specific month": [[10, "visualise-europen-near-surface-temperature-anomalies-for-one-specific-month"]], "Visualising the Fire Weather Index (FWI) for the European State of the Climate (ESOTC) assessment": [[15, null]], "Visualize the CMIP6 annual global average temperature between 1850 to 2100": [[8, "visualize-the-cmip6-annual-global-average-temperature-between-1850-to-2100"]], "Wind Chill Index with Reanalysis Data": [[1, null]], "Zonally averaged monthly mean climatology of TCWV": [[4, "zonally-averaged-monthly-mean-climatology-of-tcwv"]]}, "docnames": ["cds-tutorial", "ci-windchill", "ecv-notebooks/erb-outgoing-longwave-radiation", "ecv-notebooks/srb-climatology-and-anomaly", "ecv-notebooks/total-column-water-vapour-combi", "ecv-notebooks/total-ozone-columns", "glofas-bangladesh-floods", "intro", "projections-cmip6", "projections-cordex", "reanalysis-climatology", "reanalysis-heatwave", "reanalysis-temp-record", "sf-anomalies", "sf-verification", "visualising-fwi-for-esotc"], "envversion": {"sphinx": 62, "sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1}, "filenames": ["cds-tutorial.ipynb", "ci-windchill.ipynb", "ecv-notebooks/erb-outgoing-longwave-radiation.ipynb", "ecv-notebooks/srb-climatology-and-anomaly.ipynb", "ecv-notebooks/total-column-water-vapour-combi.ipynb", "ecv-notebooks/total-ozone-columns.ipynb", "glofas-bangladesh-floods.ipynb", "intro.md", "projections-cmip6.ipynb", "projections-cordex.ipynb", "reanalysis-climatology.ipynb", "reanalysis-heatwave.ipynb", "reanalysis-temp-record.ipynb", "sf-anomalies.ipynb", "sf-verification.ipynb", "visualising-fwi-for-esotc.ipynb"], "indexentries": {}, "objects": {}, "objnames": {}, "objtypes": {}, "terms": {"": [0, 1, 2, 4, 6, 9, 10, 11, 12, 13, 14, 15], "0": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "00": [0, 1, 3, 4, 6, 8, 9, 10, 11, 12, 13, 14, 15], "0000": [9, 12], "000000000": [1, 3, 4, 6, 10, 11, 12, 13], "000000e": 6, "00046": 9, "0009": 11, "0010": 2, "0012": 9, "0014": 14, "00160129e": 13, "0017": 12, "0020": 14, "00259070131dconvent": 4, "00278362e": 13, "00379500e": 13, "004068": 13, "004536": 13, "00455002e": 13, "00484970e": 13, "00590860e": 13, "007": 14, "00812407e": 13, "00long_nam": [1, 11], "00parent_variant_label": 8, "00zstandard_name_vocabulari": 4, "00ztime_coverage_dur": 3, "00ztime_coverage_end": [3, 4], "01": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "01029229e": 13, "01103195e": 13, "011032": 13, "01244479e": 13, "01413807e": 13, "01454959e": 13, "0147": 9, "01744213": 8, "017453292519943295": 4, "018750e": 6, "019983": 13, "01_2002": 4, "01arrai": [12, 13], "01long_nam": [4, 10, 12, 13], "01standard_nam": [3, 4], "01t00": [3, 4, 6, 10, 11, 12, 13], "01t01": 11, "01t02": 11, "01xarrai": [12, 13], "02": [1, 3, 4, 5, 6, 8, 10, 11, 12, 13, 15], "02006": 12, "02138782": 8, "022484": 12, "024350": 13, "02487624e": 13, "024999999999856": 6, "02499999999999": 6, "025": [4, 6], "025grib_latitudeoflastgridpointindegre": 6, "025grib_missingvalu": 6, "026937": 12, "027836": 13, "02823": 9, "02d": [2, 3, 4, 5, 6, 14], "02t00": 6, "03": [2, 3, 4, 6, 9, 10, 11, 12, 14, 15], "03125": 6, "032246": 12, "03257159": 8, "034": 9, "03494": 9, "03497": 9, "03511049e": 13, "03560854e": 13, "03604423e": 13, "03695976e": 13, "03791900e": 13, "03840039e": 13, "03888187e": 13, "039993": 9, "03arrai": 13, "03t00": 6, "03t12": 1, "03unit": 6, "03z": 9, "03zc3s_comment": 9, "04": [1, 3, 4, 6, 9, 10, 11, 12, 13, 15], "040024": 9, "041544e": 6, "041558e": 6, "0427": 9, "042e": 6, "04343936e": 13, "045": 2, "045500": 13, "04577": 12, "046": 9, "0461109": 8, "04628000e": 13, "048750e": 6, "049": 9, "04d": [2, 3, 4, 5], "04grib_paramid": 6, "05": [3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15], "05008": 9, "055": 5, "056824": 12, "05699071e": 13, "057": 12, "05738801e": 13, "05804": 9, "0583": 9, "0599": 9, "05arrai": 12, "05deg": 4, "05grib_iscansneg": 6, "05grib_jpointsareconsecut": 6, "05t21": 4, "06": [1, 3, 4, 6, 8, 9, 10, 11, 12, 13, 14, 15], "060": 3, "06132052e": 13, "06172898e": 13, "06239495e": 13, "0625": 8, "062500e": 6, "06378": 9, "06613124e": 13, "06633781": 8, "06735551e": 13, "06814734e": 13, "07": [2, 3, 4, 6, 10, 11, 12, 13, 15], "070137": 13, "07044548e": 13, "071874": 13, "07374e": 8, "074999999999857": 6, "07499999999999": 6, "075": 6, "07671835e": 13, "07714388e": 13, "07750225e": 13, "077e": 13, "078094": 13, "0788": 9, "079971": 9, "07z": 8, "08": [3, 4, 6, 9, 10, 11, 12, 13, 15], "080002": 9, "08368031e": 13, "086590": 13, "08817150e": 13, "088538": 13, "08_anomali": 10, "09": [3, 4, 6, 8, 9, 10, 11, 12, 13, 15], "090658": 13, "09126286e": 13, "091960": 13, "09196029e": 13, "0931": 9, "09344713e": 13, "093750e": 6, "09488069e": 13, "095": 12, "09858567e": 13, "099666": 13, "09arrai": 13, "09t11": 3, "0_44_degree_x_0_44_degre": 9, "0_5_x_0_5": 4, "0a759f": 15, "0arrai": [9, 10, 13], "0branch_time_in_par": 8, "0convent": [1, 6, 13], "0creation_d": 8, "0date_cr": 3, "0e89c522": 15, "0geospatial_lat_max": [3, 4], "0geospatial_lon_max": [3, 4], "0geospatial_lon_min": 4, "0geospatial_lon_unit": 3, "0geospatial_vertical_max": 4, "0geospatial_vertical_min": 4, "0grib_dyinmetr": 1, "0grib_iscansneg": 13, "0grib_jdirectionincrementindegre": [6, 13, 15], "0grib_jpointsareconsecut": [1, 13], "0grib_jscansposit": [1, 6, 13, 15], "0grib_ladindegre": 1, "0grib_latin1indegre": 1, "0grib_latin2indegre": 1, "0grib_latitudeoffirstgridpointindegre": [6, 13, 15], "0grib_latitudeoflastgridpointindegre": [13, 15], "0grib_longitudeoffirstgridpointindegre": [1, 13, 15], "0grib_longitudeoflastgridpointindegre": [13, 15], "0grib_lovindegre": 1, "0grib_missingvalu": [1, 13], "0grib_nv": [1, 15], "0grib_nx": [1, 6, 13, 15], "0grib_unit": 13, "0grid_north_pole_latitud": 9, "0institut": 3, "0long_nam": [1, 4, 6, 13, 15], "0product_vers": 3, "0standard_nam": [6, 9], "0summari": 4, "0time_coverage_dur": 4, "0tracking_id": 8, "0unit": [10, 11, 12, 13, 15], "0variable_id": 3, "0x1cc899d3790": 10, "0x1cc8aa9e560": 10, "0x1cc8b4dd390": 10, "0x1cc8dc689d0": 10, "0x2d394e6d000": 12, "0x2d3972944c0": 12, "0x2d39849f8b0": 12, "0x2d39e806200": 12, "0x2d39e919480": 12, "0x2d3dfc4ffd0": 12, "0x316782450": 4, "0xarrai": [3, 12, 13], "1": [0, 1, 4, 5, 6, 8, 9, 11], "10": [0, 1, 3, 4, 5, 8, 9, 10, 11, 12, 13, 14, 15], "100": [3, 5, 8, 13, 15], "1000": [1, 13], "1009": 3, "101": 14, "10134101e": 13, "102": [8, 13], "102171": 13, "104": [8, 14], "105": 8, "10565": 9, "105d": 9, "10627200000000000": 13, "107": 8, "108": 13, "10892567": 8, "109": 8, "10950": 9, "10950rlat": 9, "10950rlon": 9, "10m": 1, "10m_u_component_of_wind": 0, "10m_v_component_of_wind": 0, "10m_wind_spe": 1, "10si": 1, "10sigrib_unit": 1, "10th": [6, 8, 15], "11": [1, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "11000": 1, "110m_physic": 12, "111": 8, "11126219e": 13, "111e": 13, "111km": 11, "11202cmsaf_parameter_cod": 3, "11202platform_vocabulari": 3, "1121126400": 14, "1129": 9, "113": [8, 13], "1138": 9, "113_c3s_climate_indic": 0, "11487": 9, "115": 8, "11618": 9, "117": 8, "1178880137": 4, "1178880137wkt": 4, "118": 14, "11832515e": 13, "119": [8, 14], "119995": 9, "11eb": 4, "12": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "120": 8, "120026": 9, "12159382e": 13, "122": 8, "122543": 12, "12308": 9, "1234": 12, "124": 8, "12475884e": 13, "124987": 12, "124999999999858": 6, "12499999999999": 6, "125": [3, 8], "125000e": 6, "12518": 9, "12534": 9, "12567": 9, "126": 8, "12606857e": 13, "12616": 12, "12694556e": 13, "126946": 13, "128": 8, "12857": 14, "129632": 13, "12979": 12, "12arrai": 4, "12dask": 4, "12kb": 3, "12lat": 4, "12mb": [3, 4], "12t11": 5, "12xarrai": 4, "13": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "130": 8, "13120948e": 13, "131607": 12, "132": 8, "13219200000000000": 13, "134": 8, "13465320": 6, "135": 8, "13508144e": 13, "135178": 15, "135223": 12, "1356": 9, "13577617e": 13, "136": 13, "13692666e": 13, "137": 8, "139": 8, "1392": 9, "139575": 13, "13th": 6, "13z": 3, "13zlicens": 3, "14": [2, 6, 8, 9, 10, 11, 12, 13, 15], "140322": 12, "14067": 12, "14091686e": 13, "1409a25c": 4, "141": 8, "14100": 8, "14103": 9, "141381": 13, "142": 9, "143": 8, "14397176e": 13, "144": [2, 8], "1440": [3, 12], "14400": 12, "144025": 13, "1440coordin": 3, "1440latitud": 12, "144603": 13, "144lon": 8, "145": 8, "14505": 9, "145496": 13, "1459908": 12, "14651": 12, "147": 8, "14707727e": 13, "1471": 9, "14864983e": 13, "149": 8, "15": [0, 1, 3, 4, 5, 8, 9, 10, 11, 12, 13, 14, 15], "150": 8, "15067915": 8, "1513": 3, "151453": 12, "152": 8, "152486": 13, "153": [10, 13], "15303339e": 13, "15315490e": 13, "15365196": 12, "1537": 9, "153longitud": 10, "153time": 10, "154": 8, "15489429e": 13, "156": 8, "15721925e": 13, "15749887e": 13, "1576": 9, "158": [8, 12], "15897600000000000": 13, "159988": 9, "15t00": 15, "15t12": 1, "16": [1, 2, 3, 4, 6, 8, 9, 10, 11, 12, 13, 15], "160": 8, "160019": 9, "161": 12, "16114398e": 13, "161859": 13, "161latitud": 12, "162": [8, 12], "1634068": 11, "164": 8, "1643877008": 11, "1643879144": 11, "1643890526": 1, "165": 8, "16531018e": 13, "165639": 13, "16567923": 8, "166": 12, "16603799": 8, "16685028e": 13, "1668604690076": 6, "167": 8, "16831095e": 13, "168625": 13, "1687253290": 14, "1687253766": 14, "169": 8, "16999990e": 13, "17": [1, 2, 6, 8, 9, 10, 11, 12, 13, 15], "170147": 13, "171": 8, "17122800e": 13, "1718567179": 12, "1718567197": 12, "1718567366": 12, "1718567441": 12, "17216206": 11, "172228": 13, "172228grib_datatyp": 13, "173": 8, "174434368": 12, "17499999999986": 6, "17499999999998": 6, "175": [4, 8, 15], "176": [4, 15], "177": [3, 4, 8, 12, 15], "178": [2, 3, 4, 12, 15], "179": [3, 4, 6, 8, 10, 12, 15], "17kb": 4, "17th": 13, "17z": 8, "17zcv_version": 8, "18": [1, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "180": [0, 1, 3, 4, 5, 6, 8, 9, 12, 13, 14, 15], "18026233e": 13, "180lat": 4, "181": [4, 13, 14], "181667": 12, "181696": 12, "181grib_cfnam": 13, "181longitud": 13, "182": [8, 14], "183": 4, "184": [8, 13], "18447579e": 13, "1851": 8, "1852": 8, "18523432": 2, "1853": 8, "18531132e": 13, "1854": 8, "186": [4, 8], "186b": 4, "186lat": 4, "186nv": 4, "1875": 8, "187mb": 4, "188": 8, "18805": 9, "188548": 13, "189": 14, "18t12": 13, "19": [2, 6, 8, 9, 11, 12, 13, 15], "190": 8, "192": 8, "192coordin": 8, "193943": 13, "193mb": 4, "194": [8, 9], "1940": [11, 12], "1941": 12, "1942": 12, "194279": 9, "1943": 12, "1944": 12, "1945": [11, 12], "19458000": 14, "1946": 12, "19462772e": 13, "1947": 12, "1948": 12, "1949": 12, "194rlat": 9, "195": 8, "1950": 12, "1951": 12, "19516991e": 13, "1952": 12, "1953": 12, "1954": 12, "1955": 12, "1956": 12, "1957": 12, "1958": 12, "1959": 12, "1960": 12, "1961": [1, 12], "1962": 12, "1963": 12, "1964": 12, "1965": 12, "1966": 12, "1967": 12, "1968": 12, "1969": 12, "197": 8, "1970": [4, 12], "1971": 12, "1972": 12, "1973": 12, "1974": 12, "1975": [9, 12], "1976": [9, 12], "1977": 12, "1978": 12, "1979": [2, 3, 8, 9, 10, 11, 12], "1979bnd": 8, "1980": [9, 10, 11, 12], "1981": [0, 9, 10, 11, 12], "1982": [0, 2, 10, 11, 12], "1983": [0, 10, 11, 12], "1984": [0, 10, 11, 12], "1985": [0, 9, 10, 11, 12], "1986": [0, 9, 10, 11, 12], "1987": [0, 10, 11, 12], "1988": [0, 10, 11, 12], "1989": [0, 1, 10, 11, 12], "199": [8, 9], "1990": [0, 1, 8, 9, 10, 11, 12], "1991": [0, 1, 2, 9, 10, 11], "1992": [0, 1, 10, 11, 12, 15], "1993": [0, 1, 2, 10, 11, 12, 13, 14, 15], "19938960": 13, "1994": [0, 1, 10, 11, 12, 13, 15], "1995": [0, 1, 5, 9, 10, 11, 12, 13, 15], "1996": [0, 1, 9, 10, 11, 12, 13, 15], "1997": [0, 1, 10, 11, 12, 13, 15], "19976312e": 13, "1998": [0, 1, 2, 10, 11, 12, 13, 15], "1999": [0, 1, 10, 11, 12, 13, 15], "19990532": 8, "199997": 9, "19a7525a": 9, "19gb": 3, "19t09": 3, "19t11": 8, "1arrai": [6, 13, 15], "1b2115b8": 14, "1bound": 8, "1cell_method": 3, "1data_specs_vers": 8, "1e": 8, "1e02017d839d": 12, "1e25": 10, "1format_vers": 4, "1g": 14, "1gb": 4, "1grib_centr": 13, "1grib_latitudeoffirstgridpointindegre": 1, "1grib_steptyp": [1, 6, 13, 15], "1institut": 8, "1kb": 4, "1latitud": 12, "1long_nam": [1, 6, 13], "1m": [2, 9, 12, 14], "1mb": 4, "1product": 8, "1realm": 8, "1st": [13, 14, 15], "1standard_nam": [1, 6, 13], "1x1": [3, 11, 14], "2": [0, 1, 4, 5, 6, 8, 9, 11], "20": [2, 4, 6, 8, 9, 11, 12, 13, 14, 15], "200": [3, 5, 13], "2000": [0, 1, 10, 11, 12, 13, 15], "200012": 9, "2000_2071": 9, "2000_cordex_historical_africa": 9, "2001": [0, 1, 9, 10, 11, 12, 13, 15], "2002": [0, 1, 4, 5, 10, 11, 12, 13, 15], "200207": 4, "2003": [0, 1, 4, 10, 11, 12, 13, 15], "2004": [0, 1, 4, 10, 11, 12, 13, 15], "2005": [0, 1, 4, 10, 11, 12, 13, 15], "2006": [0, 1, 4, 10, 11, 12, 13, 15], "2007": [0, 1, 4, 10, 11, 12, 13, 15], "2008": [0, 1, 4, 10, 11, 12, 13, 15], "2009": [0, 1, 4, 10, 11, 12, 13, 15], "201": [8, 9], "2010": [0, 1, 2, 4, 10, 11, 12, 13, 15], "2011": [0, 1, 4, 10, 11, 12, 13, 15], "2012": [0, 1, 4, 6, 9, 10, 11, 12, 13, 15], "20126232": 10, "2012_2022": 6, "2013": [0, 1, 4, 10, 11, 12, 13, 15], "2014": [0, 1, 4, 8, 10, 11, 12, 13, 15], "20141216_v20190624": 8, "2014_historical_": 8, "2015": [0, 1, 4, 8, 9, 10, 11, 12, 13, 15], "2016": [0, 1, 4, 8, 10, 11, 12, 13, 14, 15], "2016_05_hindcast_monthly_tp": 13, "2016_monthli": 14, "2017": [0, 1, 4, 10, 11, 12, 14, 15], "2018": [0, 1, 2, 4, 8, 10, 11, 12, 15], "2019": [0, 1, 2, 3, 4, 8, 10, 11, 12, 15], "201bnd": 9, "201rlon": 9, "202": [6, 15], "2020": [0, 3, 4, 6, 10], "2021": [1, 3, 4, 6, 10, 12, 15], "202113": 13, "2022": [1, 3, 4, 5, 9, 10, 11, 12, 13], "2022arrai": 15, "2022xarrai": 15, "2023": [2, 3, 5, 6, 14, 15], "2024": [3, 4, 5, 10, 12, 15], "202coordin": 6, "202grib_cfnam": 6, "202grib_ni": 6, "202longitud": 6, "203": 8, "203815": 12, "204": 13, "204912_v20190908": 8, "204912_v20200114": 8, "205": 8, "20543": 12, "207": [1, 8], "2075": 9, "2076": 9, "207grib_datatyp": 1, "2080": 9, "208042": 13, "2081": 9, "208387": 12, "20844507": 11, "2085": 9, "2086": 9, "20885381e": 13, "209": 8, "2090": 9, "2091": 9, "20938387e": 13, "2095": 9, "2096": 9, "2097": 8, "2098": 8, "2099": 8, "21": [1, 2, 4, 6, 8, 9, 10, 11, 12, 13, 15], "210": 8, "210012_v20190908": 8, "210012_v20200114": 8, "2100_": 8, "2100_cordex_rcp_4_5_africa": 9, "2100_june": 9, "2100arrai": 8, "21074062": 11, "212": 8, "21240995e": 13, "21298091e": 13, "213": 13, "214": 8, "215": 9, "2156": 9, "216": 8, "21600000": 6, "21723631e": 13, "218": 8, "21885481e": 13, "21y": 1, "22": [3, 4, 6, 9, 10, 11, 12, 13, 15], "220": 8, "222": 8, "224": 8, "2241": 9, "22499999999986": 6, "22499999999998": 6, "225": 8, "227": 8, "229": [3, 8], "22nd": 6, "22t08": 4, "23": [6, 8, 9, 10, 11, 12, 13, 15], "230": 15, "23047770e": 13, "231": 8, "23207": 12, "23219": 12, "233": 8, "233887": 12, "23456789ecmf": 12, "234576000": 13, "23491": 12, "234969": 13, "235": 8, "235216": 12, "236725": 12, "237": [8, 15], "23752": 12, "238": 13, "238525": 12, "239": 8, "23999": 9, "23999023": 9, "23t09": 6, "24": [1, 3, 4, 6, 8, 9, 10, 11, 12, 13, 15], "240": 8, "24000168": 9, "240002": 9, "240021": 9, "240024grib_datatyp": 6, "24054646e": 13, "241": 12, "241time": 12, "242": 8, "242067380": 6, "242157": 12, "24333277e": 13, "243417": 13, "24381": 15, "243973": 12, "24397658e": 13, "244": 8, "24410035e": 13, "245691": 13, "246": 8, "24706573e": 13, "247066": 13, "247748": 12, "24780752e": 13, "248": 8, "24878839": 8, "24f73f442735": 14, "24latitud": 13, "24long_nam": [9, 13], "24step": 13, "25": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 15], "250": [6, 8], "250000e": 6, "2505205": 12, "250e6": 6, "250km2": 6, "251": 8, "251144": 13, "251model": 8, "252": 8, "252113": 13, "2526": 9, "253": 4, "254": 8, "255": [8, 13], "256": 15, "256274": 13, "2568": 9, "256b": 15, "257": 8, "257223563": 4, "259": 8, "25901084e": 13, "259920": 15, "259920grib_typeoflevel": 15, "25bc6358": 1, "25forecastmonth": 13, "25time": 13, "25x25": 3, "25\u00ba": 3, "25\u00bax0": 3, "26": [1, 2, 6, 8, 9, 10, 11, 12, 13, 15], "260540": 15, "260540grib_datatyp": 15, "26056": 9, "261": [8, 9, 10, 11], "261latitud": 10, "262844": 12, "263": [8, 9, 11], "263200": 10, "26367290e": 13, "26378728e": 13, "265": [8, 9], "26567337e": 13, "26654": 9, "267": 8, "2678400000000000": 13, "268": 9, "269": [8, 9], "269135": 12, "26988797e": 13, "2699": 11, "27": [1, 6, 8, 9, 10, 11, 12, 13, 15], "270": [4, 5, 8, 9], "2708144": 11, "271": [4, 9], "272": [8, 9], "273": [1, 8, 9, 10, 11, 12], "27389615e": 13, "274": 8, "27466": 9, "27499999999986": 6, "27499999999998": 6, "274e": 13, "276": 8, "277": 9, "27704339": 8, "27728": 9, "278": [8, 9], "278500e": 6, "27865607e": 13, "279": 9, "279125e": 6, "27975": 9, "279984": 9, "27998734": 9, "279999": 9, "28": [6, 8, 9, 10, 11, 12, 13, 15], "280": [8, 9], "280014": 9, "280819": 12, "281": 9, "28111932e": 13, "281457": 4, "28157748e": 13, "282": [8, 9, 12, 15], "284": 8, "28418354e": 13, "285": [8, 9], "28569225e": 13, "286": 9, "28685724e": 13, "287": [8, 9, 11], "28775": 1, "28778": 9, "28798105e": 13, "288": 9, "28876": 9, "289": [8, 9], "28950126e": 13, "28long_nam": 9, "28t00": 6, "28zcreator_nam": 4, "29": [3, 6, 8, 9, 11, 12, 13, 14, 15], "291": 8, "29245683": 8, "293": 8, "294": 10, "29435204e": 13, "294592": 12, "29471": 12, "295": 8, "29670030e": 13, "296875e": 6, "297": 8, "298": 4, "299": 8, "29911779e": 13, "29922594e": 13, "29arrai": 12, "29experi": 8, "29nco": 6, "29t00": 6, "2activity_id": 8, "2b12b5db6db112aa8b8b0d6c1645b121titl": 8, "2cell_method": 3, "2coordin": 9, "2d": [9, 12], "2e1a3b4d": 5, "2f": 12, "2gb": 3, "2grib_centr": [1, 6], "2lat": [4, 8], "2lon": 3, "2m": [1, 9, 10, 12], "2m_air_temperatur": 9, "2m_temperatur": [0, 1, 10, 11, 12, 14], "2mb": 15, "2nd": 4, "2x2": [3, 4], "2y": 2, "3": [0, 1, 3, 4, 5, 6, 8, 9, 11], "30": [0, 1, 3, 4, 6, 8, 9, 10, 11, 12, 13, 15], "300": [8, 9], "3000": 6, "3000coordin": 6, "30040681e": 13, "302": 8, "30240": 11, "30240coordin": 11, "30316357e": 13, "30361663e": 13, "304": [8, 14], "30437": 14, "304777": 13, "30483": 12, "30582919e": 13, "306": [8, 13], "30674171e": 13, "30701371e": 13, "30734656": 12, "30798225e": 13, "308": 8, "30803878e": 13, "309": 12, "30906576e": 13, "30long_nam": 6, "30t00": 6, "30t21": 11, "30t22": 11, "30t23": 11, "30th": 15, "31": [3, 4, 6, 8, 9, 12, 13, 15], "310": 8, "3107107": 8, "312": 8, "312095": 13, "3125": 8, "31278441e": 13, "313312e": 6, "314": 8, "314031e": 6, "3142": 12, "315": 8, "31656388e": 13, "317": 8, "31701471e": 13, "3183903": 8, "319": 8, "31915": 9, "319225": 1, "319225grib_typeoflevel": 1, "319992": 9, "31999588": 9, "31arrai": 13, "31xarrai": 13, "32": [3, 8, 9, 11, 12, 13, 15], "320023": 9, "320877": 12, "321": [8, 11], "322693": 12, "323": 8, "323099": 13, "32349695e": 13, "324112": 13, "324493": 12, "32499999999986": 6, "32499999999997": 6, "325": 8, "326": 11, "326062": 13, "326324": 12, "327": 8, "32861080e": 13, "329": 8, "32b": 4, "32latitud": 15, "33": [1, 3, 6, 8, 9, 10, 11, 12, 13], "330": [6, 8], "33036985": 8, "330latitud": 6, "331": 4, "332": 8, "334": 8, "335": 9, "33535187": 8, "336": [8, 9], "338": 8, "33804": 9, "338903": 10, "34": [1, 8, 9, 10, 12, 13, 15], "340": 8, "34042": 9, "341": 1, "342": 8, "343750e": 6, "344": 8, "345": 8, "347": [8, 12], "349": 8, "35": [0, 8, 9, 10, 12, 13, 14], "350": 13, "35066": 12, "351": 8, "35157198e": 13, "353": 8, "35327": 9, "35360457e": 13, "35488986e": 13, "355": 8, "356": 13, "357": [8, 13], "35764885": 11, "35767": 9, "358": [2, 13], "359": [1, 8, 10, 13, 14, 15], "359375e": 6, "359985": 9, "3599968": 9, "36": [8, 9, 10, 12, 13], "360": [0, 1, 2, 4, 8, 10, 12, 13, 14, 15], "3600": 1, "360001": 9, "36001587": 9, "360016": 9, "36023": 9, "3606": 13, "3607": 13, "36082827": 8, "360coordin": 13, "360grib_ni": 13, "360lon": 4, "360month": 4, "361": 15, "361grib_cfnam": 15, "361longitud": 15, "36220790e": 13, "365": 15, "36504047": 8, "36655": 12, "367": [3, 4], "3684943": 14, "37": [1, 6, 9, 10, 12, 13], "370852": 13, "3714578": 11, "371737": 13, "371893": 12, "373": 4, "374": 4, "37470990e": 13, "37499999999986": 6, "37499999999997": 6, "375": [3, 8], "375000e": 6, "375141e": 6, "37784": 9, "38": [3, 8, 9, 10, 12, 13], "38139167e": 13, "38251": 12, "38479960e": 13, "38621803e": 13, "38635866": 8, "386mb": 4, "38916422": 8, "38bound": 8, "38grib_nam": [6, 15], "39": [6, 8, 9, 10, 12, 13], "39295861": 8, "39393187": 11, "39395087": 8, "39447620e": 13, "395": 4, "396": 12, "3965": 1, "396coordin": 12, "397": 9, "39707069": 8, "39758": 9, "398": 4, "39895096e": 13, "39925938e": 13, "39991441e": 13, "39997864": 9, "39998245": 9, "399994": 9, "3c8db8": 15, "3d35a8d3": 9, "3frequenc": 8, "3kb": [4, 15], "3m": [12, 14], "3pb": 8, "3rd": 4, "3standard_name_vocabulari": 3, "4": [1, 2, 3, 4, 5, 6, 8, 9, 11, 15], "40": [1, 2, 8, 9, 10, 11, 12, 13, 15], "400": [3, 5, 9], "400009": 9, "4028234663852886e": [6, 15], "40302914e": 13, "403535": 13, "40482015e": 13, "405465": 13, "40564": 12, "405f": 14, "40709": 12, "40804": 6, "40804grib_typeoflevel": 6, "40854": 9, "408604": 12, "40e3": 6, "41": [4, 6, 8, 9, 10, 11, 13], "410347": 12, "410411": 13, "41071": 12, "41198": 12, "41219369e": 13, "413": 12, "413795": 12, "414043": 12, "41524857e": 13, "416": 2, "417": 2, "4174": 9, "41742": 12, "41cd": 9, "42": [3, 6, 8, 9, 10, 12, 13], "420856": 12, "421875e": 6, "42192488e": 13, "42228756": 8, "423": 4, "4233": 9, "42436": 12, "424999999999862": 6, "42499999999997": 6, "42521132e": 13, "426": 4, "427814": 12, "42a3": 3, "43": [6, 8, 9, 10, 13], "43029510e": 13, "43072262e": 13, "43094425e": 13, "43461576e": 13, "435": 13, "43528179e": 13, "435282": 13, "43627332e": 13, "4375": 8, "43893": 9, "43955638": 8, "439718": 13, "439766": 13, "439987": 9, "43b2": 1, "43da": 12, "44": [3, 8, 9, 10, 13], "440": 10, "440002": 9, "441003": 13, "44419199e": 13, "4461": 12, "44708": 9, "44717": 9, "447d": 10, "44855": 9, "449099": 12, "44a0f93ff2fd": 3, "44frequenc": 9, "45": [1, 2, 3, 4, 8, 9, 10, 12, 13, 15], "45046153e": 13, "451c": 9, "45326661e": 13, "454814": 13, "455": 5, "4567": 12, "45719889e": 13, "45752213e": 13, "457b": 11, "45882895e": 13, "45913109": 8, "459383": 13, "46": [8, 9, 10, 12, 13, 14, 15], "464062e": 6, "46575330e": 13, "46609431": 8, "466434": 12, "466719e": 6, "46757718e": 13, "468": 2, "4697785": 12, "46e1": 14, "47": [6, 8, 9, 10, 11, 12, 13, 14], "471": 9, "47201428e": 13, "47279885": 8, "477898": 13, "47789817e": 13, "478": 9, "478943": 12, "47947264e": 13, "479996": 9, "48": [1, 2, 6, 8, 9, 10, 13], "480": [2, 14], "480011": 9, "481": 14, "4824": 2, "482574": 12, "48425935": 8, "486498": 13, "4869": 5, "487048": 12, "48715": 9, "488007": 12, "48mb": 4, "49": [2, 6, 8, 9, 10, 12, 13], "49164": 12, "494429": 12, "495255": 12, "497": 3, "497699": 12, "49805": 9, "498886": 12, "4_1": 15, "4ac8": 10, "4cc4": 4, "4cd9": 8, "4coordin": 8, "4d46": 9, "4d462dd9c22dc3s_disclaim": 9, "4dac": 12, "4e533e38": 14, "4e68": 9, "4experi": 9, "4f9b": 4, "4gb": 3, "4kb": 3, "4lat": 4, "4m": [9, 11, 12, 14], "4mb": 4, "4th": 4, "5": [1, 2, 3, 4, 6, 8, 11, 14, 15], "50": [3, 4, 5, 8, 9, 10, 11, 12, 13], "500": 2, "500000e": 6, "500252": 12, "50045360e": 13, "50199825e": 13, "502": 5, "504": [3, 10], "504397": 12, "50494": 9, "504b": 3, "504coordin": 10, "504lat": 3, "504latitud": 10, "50504": 9, "506134": 12, "507": 11, "50715": 12, "50arrai": 13, "50long_nam": 13, "50th": [8, 11], "51": [5, 8, 9, 10, 11, 12, 13, 15], "510533": 13, "51172": 9, "515720": 13, "51618593e": 13, "516496": 12, "51972682e": 13, "51991082": 8, "519989": 9, "51c6d7": 15, "51forecastmonth": 13, "52": [9, 10, 13, 14, 15], "520004": 9, "52063": 9, "52182487": 8, "523": 4, "52499999999995": 6, "52499999999999": 6, "525": 6, "525000000000006": 6, "52562740e": 13, "525745": 12, "526": 10, "5270400000000000": 13, "529215": 12, "5299521": 8, "529q7bzs665bnrn7_wjx1nsr0000gn": 2, "53": [8, 9, 10, 12, 13, 14, 15], "5334": 9, "536046": 13, "536kb": 4, "53708520e": 13, "54": [3, 8, 9, 10, 12, 13], "54044": 9, "54050114e": 13, "54119631e": 13, "54138069e": 13, "541381": 13, "54177956": 8, "54190473e": 13, "541905": 13, "54313564": 11, "544": 2, "545": 2, "546": 10, "54614": 9, "54642af4": 10, "54715392": 8, "54921006e": 13, "54996033e": 13, "54z": 8, "55": [5, 8, 9, 10, 12, 13, 15], "550": 5, "5538": 9, "554085": 12, "559": 4, "559622": 12, "559982": 9, "559998": 9, "55df": 1, "56": [8, 9, 10, 12, 13], "560013": 9, "5618305": 12, "562": 8, "5625": 8, "564": [10, 11], "565": 1, "565coordin": 1, "565grib_cfnam": 1, "565grib_ni": 1, "565x": 1, "56683605e": 13, "56705768e": 13, "5676": [3, 4], "569952": 8, "56km": 4, "57": [8, 9, 10, 12, 13], "570733": 10, "57076709": 8, "57112824": 8, "572193": 13, "572601": 12, "57352018e": 13, "574989": 13, "57499999999945": 6, "57499999999996": 6, "57499999999999": 6, "574999999999992": 6, "575": 6, "575288": 13, "57698118e": 13, "57941866": 11, "57955248": 8, "57989827e": 13, "58": [3, 5, 6, 8, 9, 10, 12, 13], "58084508": 8, "58108662e": 13, "581223": 12, "58175664": 8, "58262304e": 13, "58457582e": 13, "589348": 12, "59": [1, 5, 6, 8, 9, 10, 12, 13], "59238e52132d": 8, "59238e52132dxarrai": 8, "59425743": 8, "594892": 13, "595067": 13, "59506733e": 13, "596119": 12, "59732": 9, "59972428e": 13, "599991": 9, "5ab4ac": 13, "5arrai": [8, 15], "5cdm_data_typ": 3, "5d": 4, "5gb": 14, "5grib_iscansneg": 15, "5grib_jpointsareconsecut": 15, "5grib_missingvalu": 15, "5latitud": 11, "5m": 14, "5platform": 3, "5th": [1, 10, 12], "5time": 11, "6": [1, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "60": [0, 1, 4, 5, 8, 9, 10, 12, 13], "600006": 9, "603": 3, "60403": 9, "604468": 13, "60446843e": 13, "606188": 12, "60718735e": 13, "60852": 9, "609414960047": 9, "61": [8, 10, 12, 13], "611440": 13, "612": 1, "612grib_latitudeofsouthernpoleindegre": 1, "613205": 13, "614394": 13, "615101": 3, "61570168": 11, "61686254e": 13, "61972281": 8, "62": [1, 3, 4, 8, 10, 13], "62080418e": 13, "6215": 1, "62456907e": 13, "62499999999945": 6, "62499999999997": 6, "624999999999993": 6, "625": [3, 6, 8], "625692": 12, "62745672": 8, "63": [8, 10, 12, 13, 15], "63241124e": 13, "63260617e": 13, "63318635": 8, "63420080e": 13, "634245": 12, "635535": 12, "636729": 13, "63717372e": 13, "6378137": 4, "637873": 13, "63882169e": 13, "638822": 13, "639984": 9, "639999": 9, "63arrai": 8, "63xarrai": 8, "64": [8, 9, 10, 13], "64217012e": 13, "64325": 9, "64400074e": 13, "64624e5ec7e4": 10, "64853": 9, "64bd6b2167b7": 2, "65": [3, 8, 10, 13], "651366": 12, "65160": 13, "65160grib_typeoflevel": 13, "652": 14, "6520195": 12, "652505": 12, "65340704": 8, "6545": 9, "656250e": 6, "65744156": 8, "66": [8, 10, 13], "66143938e": 13, "66628949e": 13, "669517": 13, "66951721e": 13, "67": [10, 13], "6703725": 1, "670577": 13, "67133": 9, "671638": 12, "671875e": 6, "6721": 9, "673555": 13, "67499999999944": 6, "67499999999998": 6, "674999999999994": 6, "675": 6, "67505759e": 13, "67523": 9, "675772": 13, "676250e": 6, "67749284e": 13, "67884414e": 13, "6793": 9, "679977": 9, "67mb": 15, "68": [1, 4, 8, 10, 13], "680008": 9, "68234": 9, "683": 4, "684": 10, "68438258e": 13, "68558": 9, "686103": 12, "686947": 12, "6875": 8, "687500e": 6, "687653": 12, "688": 8, "688131": 12, "688281e": 6, "689120": 13, "689e": 4, "68b8": 10, "68grib_longitudeofsouthernpoleindegre": 1, "69": [8, 10, 12, 13], "6908": 9, "69144": 9, "6924": 14, "692666": 13, "693814": 12, "69432393": 8, "6968975": 12, "697": 13, "697611": 12, "69956510e": 13, "69983418": 8, "6af9": 3, "6arrai": 13, "6cdm_data_typ": 4, "6histori": [10, 11, 12], "6instrument_vocabulari": 4, "6kb": [3, 15], "6latitud": 13, "6long_nam": 13, "6m": [11, 14], "6mb": 3, "6time": 13, "6variable_id": 4, "7": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 15], "70": [2, 4, 8, 10, 13], "700156": 12, "70048384e": 13, "70142": 12, "702868": 12, "70350409e": 13, "70358": 9, "70358213e": 13, "70392": 9, "70444031e": 13, "704442": 5, "704455": 13, "707721": 10, "70865903e": 13, "70996658e": 13, "71": [8, 10, 13], "712927": 12, "71296322e": 13, "71776501": 8, "71822193e": 13, "718222": 13, "718750e": 6, "719": 11, "719986": 9, "72": [1, 2, 8, 10, 13, 15], "720": [3, 4, 15], "7200": 6, "720001": 9, "7200latitud": 6, "720coordin": 4, "720dask": [4, 15], "720grib_ni": 15, "720nb2": 3, "721": [10, 12], "72128296": 12, "72147": 9, "721longitud": 12, "721time": 12, "723602": 12, "724": 9, "72499999999944": 6, "724999999999994": 6, "725": 6, "72511443e": 13, "725418": 12, "725807": 12, "726238": 12, "7267222": 12, "7272064": 12, "727234": 12, "72756857": 12, "7276896": 12, "727703": 12, "7279307": 12, "72905": 12, "72km": 11, "73": [8, 13], "730": 9, "730865": 12, "731902": 12, "7321472": 12, "732666": 12, "735202": 13, "73531158": 8, "736965": 12, "7376": 12, "73760986": 12, "738835": 13, "73977053": 12, "74": [8, 13], "74001056": 12, "74019164": 12, "7403127": 12, "74037373": 12, "7404948": 12, "741149": 12, "741443": 13, "74176984e": 13, "742425": 15, "74307957e": 13, "743765": 12, "744b": 4, "74548139e": 13, "74554": 9, "74624459e": 13, "74754211e": 13, "74816996": 12, "7482": 12, "74847": 9, "75": [1, 2, 4, 8, 10, 11, 12, 13], "75191983e": 13, "7532": 9, "75345993e": 13, "75399058": 8, "75464": 9, "756000": 11, "75888": 9, "759936": 8, "759979": 9, "75999451": 9, "759998": 9, "75long_nam": 4, "76": [8, 9, 13], "76001": 9, "76205": 9, "76490545": 11, "76505938e": 13, "76511278": 8, "7674": 9, "76771": 12, "7688": 9, "77": [8, 13], "77008": 9, "77021": 4, "771381": 13, "771439": 13, "772227": 15, "77414429e": 13, "77499999999944": 6, "77499999999995": 6, "77499999999999": 6, "774999999999995": 6, "775": 6, "775000000000006": 6, "775023": 13, "77548": 9, "77713808e": 13, "777739": 12, "77934": 12, "78": [8, 12, 13, 14], "780967": 12, "781250e": 6, "7819019": 4, "78436": 9, "78597346": 8, "78725520e": 13, "787e": 13, "78937": 12, "79": [8, 13], "79239638": 8, "794726": 13, "7948800000000000": 13, "796": 5, "79825": 9, "79893981e": 13, "798983": 13, "79933402e": 13, "79998779": 9, "799988": 9, "79999924": 9, "7experi": 8, "7institut": [1, 6, 13], "7m": 2, "7product_vers": 4, "8": [1, 2, 3, 4, 6, 8, 9, 10, 11, 12, 13, 15], "80": [8, 13, 15], "800003": 9, "80118847": 11, "801527": 12, "80225": 9, "80415074e": 13, "80541995e": 13, "805420": 13, "806250e": 6, "80722": 9, "80780940e": 13, "80927595e": 13, "81": [4, 8, 13], "81168924e": 13, "812": 8, "812478": 12, "8125": 8, "812500e": 6, "813": 9, "81375": 9, "815": 15, "81518167e": 13, "81555051e": 13, "817150": 13, "81782522e": 13, "8192": 15, "81951088e": 13, "82": [4, 13], "820597": 12, "8226": 9, "82400983e": 13, "82474": 9, "82482229e": 13, "82499999999943": 6, "82499999999996": 6, "82499999999999": 6, "824999999999996": 6, "825": 6, "826230": 13, "82824200e": 13, "82e47200": 2, "83": [8, 13], "83006099e": 13, "831797": 13, "83179704e": 13, "833183": 13, "83453575e": 13, "835": 9, "83622129e": 13, "836803": 13, "8375": 10, "839981": 9, "83998489": 9, "84": [6, 8, 9, 12, 13], "840012": 9, "84104106e": 13, "8415": 12, "841835": 13, "84227245e": 13, "843": 5, "845758": 13, "84593831e": 13, "84coordin": 12, "84latitud": 12, "85": [4, 6, 8, 13, 15], "85077": 9, "85105331e": 13, "853113": 13, "85357666": 12, "8536": 12, "854360": 13, "856923": 13, "85752883e": 13, "85794": 9, "8590088": 12, "86": [4, 8, 13, 15], "86291007e": 13, "863": 9, "86400000000000": 6, "868572": 13, "87": [3, 4, 6, 8, 12, 13, 15], "87212160": 12, "872920": 13, "87499999999943": 6, "87499999999997": 6, "874999999999996": 6, "875": [3, 6, 8], "878968": 12, "879974": 9, "87999344": 9, "879997": 9, "88": [3, 4, 6, 8, 9, 12, 13, 15], "880005": 9, "8807678": 12, "8825989": 12, "88331830e": 13, "88543605e": 13, "88729198e": 13, "88fa": 9, "88standard_nam": 3, "89": [3, 4, 6, 8, 12, 13, 14, 15], "89143": 12, "89466882e": 13, "8952637": 12, "89856": 9, "89889526": 12, "89ec": 12, "8aa5": 14, "8arrai": 9, "8b": 15, "8gb": 14, "8kb": 3, "8long_nam": [4, 9], "8unit": 12, "9": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 15], "90": [2, 3, 4, 5, 8, 9, 10, 12, 13, 15], "90099732e": 13, "9012": 9, "90204": 9, "90243505e": 13, "903169": 13, "903844": 13, "905542": 13, "90554220e": 13, "906250e": 6, "908": 9, "909": 5, "90th": [8, 15], "90\u00ba": 12, "91": [3, 4], "91021711e": 13, "91195956e": 13, "912629": 13, "912935": 12, "91395754e": 13, "91440252e": 13, "91446030e": 13, "919968": 9, "919998": 9, "91ca0c5faf02": 5, "92": [6, 8, 13], "920029": 9, "92021130e": 13, "92369229e": 13, "923a8": 14, "92434169e": 13, "92499999999943": 6, "92499999999998": 6, "924999999999997": 6, "925": [6, 9], "92688": 9, "9318664": 1, "93230995e": 13, "93417": 9, "934471": 13, "9375": 8, "93917768e": 13, "93942580e": 13, "94": [6, 8], "94035350e": 13, "946277": 13, "946688": 13, "948807": 13, "94892476e": 13, "95": [3, 4, 5, 6, 12, 14], "95039225": 11, "951699": 13, "952229444": 9, "952308195": 9, "953027": 12, "953045": 12, "954252": 12, "95467550e": 13, "95482877e": 13, "95524938e": 13, "955912512": 2, "957": 12, "9573": 11, "9581027": 14, "959976": 9, "95arrai": 12, "96": [3, 4, 8], "960007": 9, "96056521e": 13, "96725": 9, "968750e": 6, "96891203e": 13, "96b": 4, "97": [6, 13], "97020974e": 13, "971702e": 6, "971944e": 6, "97198316e": 13, "972": 12, "97388346e": 13, "974010": 13, "97499999999943": 6, "974999999999994": 6, "974999999999998": 6, "975": 6, "975grib_longitudeoffirstgridpointindegre": 6, "975grib_longitudeoflastgridpointindegre": 6, "978": 12, "97standard_nam": 6, "98": [4, 6, 8, 15], "98003727": 8, "980164": 12, "98274860e": 13, "98667526": 11, "987883": 12, "989398": 13, "98958882e": 13, "98fa": 9, "98unit": 6, "99": [3, 4], "990015": 10, "990100": 13, "99031691e": 13, "99038445e": 13, "990f3656": 11, "991144": 12, "991822": 12, "992259": 13, "992594": 13, "99498459e": 13, "997243": 13, "99740103e": 13, "997631": 13, "99896": 9, "999": 3, "999144": 13, "9999": [1, 13], "999969": 9, "9999grib_nam": [1, 13], "99cell_method": 3, "9a09": 12, "9ba9": 1, "9bff7": 14, "9cf4": 11, "9e1b": 14, "9ee27f5815cd": 10, "9gdal_pcraster_valuescal": 6, "9standard_nam": 3, "A": [3, 4, 5, 6, 8, 10, 12, 13, 14], "And": [2, 9, 12], "As": [0, 4, 5, 8, 9, 10, 11, 12, 13, 14], "At": [0, 1, 2, 3, 4, 6, 7, 10, 11, 12, 13, 14, 15], "BY": 1, "But": 9, "By": [8, 10, 13], "FOR": 8, "For": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 12, 13, 14, 15], "If": [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 12, 13, 14, 15], "In": [0, 1, 2, 3, 4, 5, 8, 9, 10, 11, 13, 14, 15], "It": [0, 1, 2, 3, 4, 8, 14], "NO": 9, "Near": [4, 8, 9, 10, 13], "Not": [8, 12], "OF": 9, "On": 3, "One": [1, 4, 8, 10, 11, 12, 15], "That": 3, "The": [0, 1, 2, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "Their": 15, "Then": [3, 4, 12, 15], "There": [0, 2, 3, 6, 8, 12], "These": [0, 1, 2, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14], "To": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "With": [3, 4, 9, 10, 12, 13], "_": [1, 2, 3, 8, 14], "__init__": 12, "_as_gen": 12, "_hindcast": 14, "_monthli": 14, "_monthly_1991": 12, "_r": [3, 12], "_stmonth": 14, "_weeklyt": 15, "a028": 2, "a079df20ec71": 1, "a2": 3, "a627": 8, "a6d7db": 15, "a81f": 12, "a87b": 12, "a8f2": 4, "ab817712": 3, "abid": 9, "abil": [4, 10], "abl": [0, 3, 5, 11, 15], "about": [4, 5, 7], "abov": [0, 1, 3, 4, 6, 8, 9, 10, 11, 12, 13, 14, 15], "abscissa": 4, "absenc": [8, 14], "absolut": 10, "absorb": 4, "ac": 8, "acceler": 4, "accept": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "access": [1, 3, 4, 5, 7, 8, 10, 11, 12, 13, 14, 15], "accord": [1, 3, 4, 5, 8, 9], "accordingli": 12, "account": [0, 2, 3, 4, 7, 8, 10, 11, 12, 13, 14, 15], "accross": 6, "accumul": 11, "accur": [1, 5, 9], "acdd": 3, "achiev": 5, "acknowledg": [4, 8, 15], "across": [4, 8, 10], "activ": [4, 10, 12, 15], "activity_id": 8, "actual": [9, 12, 13, 15], "actual_rang": 4, "ad": [0, 5, 9, 12, 15], "ad2124": 15, "adapt": [5, 7], "adaptor": [1, 11, 12, 14], "add": [2, 3, 4, 5, 6, 8, 9, 10, 12, 13, 14, 15], "add_ax": [4, 5, 13], "add_colorbar": [5, 15], "add_featur": [2, 3, 6, 14, 15], "add_label": [5, 15], "add_subplot": [3, 6], "addit": [2, 3, 4, 5, 6, 9, 10, 13, 14, 15], "addition": [10, 13, 14], "additon": 13, "adjust": 3, "advanc": [3, 4], "advect": 4, "advis": 15, "ae10": 4, "aerosol": 8, "aersub_experi": 8, "affect": [3, 13, 15], "afr": 9, "afr019_igm44refer": 9, "africa": [4, 9], "african": 3, "after": [1, 2, 3, 4, 5, 6, 8, 10, 11, 12, 13, 14, 15], "afterward": 3, "again": [1, 9, 10, 12, 13], "against": [6, 14], "aggr": 14, "aggreg": [3, 9, 12, 13, 14], "aim": 3, "air": [1, 5, 8, 9, 11, 12], "air_temperatur": 9, "air_temperaturelong_nam": 8, "air_temperatureunit": 9, "al": 2, "albedo": 3, "algebra": 5, "algorithm": [3, 4], "alia": 3, "align": [4, 14], "all": [1, 2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14], "allow": [0, 4, 5, 6, 10, 12, 13, 14], "almost": 3, "along": [2, 4, 5, 9, 12, 15], "alpha": [1, 2, 3, 4, 6, 8, 9, 10, 11, 12, 13, 15], "alreadi": [1, 2, 3, 4, 5, 6, 10, 11, 12, 13, 14, 15], "also": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15], "alter": [5, 8], "altern": [1, 4, 10], "although": 15, "altitud": [4, 5], "alwai": 0, "amazonaw": 12, "ambigu": 13, "amend": 12, "america": 4, "american": [1, 3], "amj": 13, "among": [4, 14], "amontable_info": 8, "amount": [3, 4], "amplitud": 4, "amsr": 4, "an": [0, 1, 2, 3, 4, 7, 9, 10, 11, 12, 13, 14, 15], "anaconda": [2, 7, 14], "anaconda3": [1, 10, 11, 12, 15], "analys": [3, 4, 5, 10, 11, 15], "analysi": [3, 6, 7], "anchor": [2, 10], "ancillary_vari": 4, "anemomet": 1, "angl": 4, "angrib_numberofpoint": 1, "ani": [2, 3, 4, 5, 7, 8, 9, 14, 15], "anim": [4, 10], "anlys": 4, "annot": 11, "announc": 12, "annual": [2, 3, 4, 10], "anom": [12, 14], "anom_2016": 10, "anom_3m": 14, "anom_aug": 10, "anom_hindcast": 13, "anom_hindcast_tp": 13, "anom_month": 10, "anomal": [3, 10, 12], "anomali": [4, 6, 7], "anomaly_2003": 3, "anoms_sasia": 13, "anoms_sasia_df": 13, "anoms_sasia_m_yr": 13, "anoth": [2, 3, 4, 10, 12, 13], "answer": 11, "antarct": 5, "antarctica": 2, "antartica": 5, "anthropogen": [4, 10, 12], "anticyclon": 3, "anymor": 14, "aod": 3, "aogcm": 8, "apach": [0, 8, 9, 13], "api": 7, "apikei": 12, "appar": 10, "appcach": 4, "appdata": [10, 11, 12], "appear": [0, 1, 2, 3, 4, 5, 10, 11, 12], "append": [6, 8, 14, 15], "appli": [1, 3, 4, 6, 8, 9, 10, 11, 12, 13, 14], "applic": [0, 1, 2, 3, 4, 6, 7, 9, 10, 11, 12, 14, 15], "application_1608030060513_159307": 4, "approach": [5, 14], "appropri": [2, 4, 14], "april": [3, 4, 5, 13, 14], "aqua": 4, "ar": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "arang": [4, 5, 6, 8, 11, 12, 13], "arc": 10, "arc_anom": 10, "arc_clim": 10, "arc_d": 10, "arc_da": 10, "arc_fil": 10, "arc_mean": 10, "arc_season": 10, "arc_subset": 10, "arc_weight": 10, "arc_yearli": 10, "archiv": [0, 1, 2, 3, 4, 8, 9, 13], "arctic": 5, "arctic_season": 10, "arctic_t2m_anom_bar": 10, "area": [0, 1, 2, 3, 4, 5, 8, 9, 10, 11, 12, 13, 15], "areacellaforcing_index": 8, "areacellahistori": 8, "areagd": 6, "argmax": 4, "argmin": 4, "argument": [0, 3, 4, 10, 11, 13], "aris": 8, "around": [2, 4, 5, 6, 8, 10, 11, 14], "arrai": [1, 2, 3, 4, 6, 8, 9, 10, 11, 12, 14, 15], "arrang": [13, 14], "art": [10, 12, 13, 14], "articl": 14, "artist": 11, "as_sourc": 10, "ascend": 2, "asia": [3, 4, 13], "ask": 14, "aso": 13, "aspect": [5, 14], "assess": [1, 6, 9], "assign": [6, 9, 10, 13, 14], "assign_attr": [6, 10, 12, 14], "assign_coord": [6, 8, 10, 12, 13, 14], "assimil": [10, 12], "associ": 4, "assum": [3, 14], "astyp": [11, 12], "atacama": 3, "atbd": 4, "atla": 2, "atlant": [3, 4], "atmo": 8, "atmoschem": 8, "atmospher": [2, 3, 4, 5, 13, 14], "atmosphere_mole_content_of_ozon": 5, "atmosphere_water_vapor_cont": 4, "atmossourc": 8, "attach": [5, 6], "attempt": [8, 13], "attr": [6, 8, 10, 12, 13], "attribut": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 15], "aug": 10, "august": [3, 4, 10, 14], "austral": [4, 5], "australia": 4, "auto": [4, 5, 14], "autocorrel": 4, "automat": [0, 10, 13, 14], "autumn": [3, 4, 10], "auxilari": 6, "auxiliari": [2, 6], "avail": [0, 1, 2, 3, 4, 7, 8, 9, 12, 13, 14, 15], "avalu": 14, "averag": [1, 2, 5, 9, 10, 11, 12, 14], "averageunit": 3, "avg": 12, "avg_per_month_clim": 12, "avggrib_gridtyp": 6, "avhrr": 3, "avoid": [6, 13], "aw": 1, "awar": 6, "ax": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "ax1": [2, 4], "ax2": 4, "ax3": 4, "ax4": 4, "ax5": 4, "axhlin": 12, "axi": [2, 3, 4, 6, 8, 10, 12, 13, 15], "b": [3, 4, 6, 9, 11, 13, 14, 15], "b19f6b3d": 9, "b46e2bf": 12, "b5fd": 3, "b6959414": 8, "b8af": 10, "bab6": 2, "back": [2, 11], "backend_kwarg": [13, 14], "background": 12, "backscatt": 5, "bad_qual": 4, "bad_qualityflag_valu": 3, "band": 4, "band1": 6, "bangladesh": 6, "bar": [2, 3, 4, 6, 10, 12, 13, 15], "barcontain": 11, "base": [0, 2, 3, 4, 5, 7, 10, 12, 13, 15], "baseexcept": 14, "basenam": [8, 9], "basi": 4, "batch": 8, "bba7": 9, "bbox_inch": 2, "bc": 9, "bc29b861d96d": 14, "bd7e7a603f2a": 12, "becaus": [2, 5, 12], "becom": 5, "been": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 14, 15], "befor": [0, 1, 2, 4, 6, 8, 9, 10, 11, 12, 13, 14, 15], "began": [6, 11], "begin": [1, 4, 6, 8, 9, 10, 11, 12, 13, 15], "behavior": 5, "behaviour": 13, "behind": [12, 14], "being": [0, 3, 15], "belgium": 11, "below": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "best": [1, 2, 3, 4, 6, 8, 10, 11], "beta": [0, 1, 2, 8, 9, 10, 11, 12, 13, 14, 15], "better": [5, 10], "between": [2, 4, 10, 11, 12, 13, 15], "beyond": 14, "bf": [2, 4, 14], "bf01": 5, "bg466nominal_resolut": 8, "bia": 5, "bias": [9, 13], "biggest": 2, "bin": [6, 11, 12], "bin_edg": 14, "binari": 14, "binder": [7, 12], "black": [0, 1, 2, 4, 6, 8, 9, 10, 12, 13, 14, 15], "blank": 5, "block": [1, 2, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "blue": [4, 6, 8, 10, 12, 15], "bmh": 12, "bnd": [8, 9], "bo": 11, "board": 2, "bodi": 1, "bold": 15, "book": 6, "boolean": [6, 10], "boom": 3, "border": [3, 6, 14, 15], "boreal": [4, 5], "both": [0, 1, 2, 3, 4, 6, 9, 10, 12, 13, 14, 15], "bottom": [2, 3, 4, 5, 13], "bottom_label": 3, "bound": [0, 3, 6, 8, 13, 14, 15], "boundari": [4, 5, 9, 13, 14], "boundariescom": 4, "boundariesvalid_rang": 4, "boundarynorm": 15, "box": [0, 6, 13], "bracket": [9, 13], "branch_method": 8, "branch_time_in_child": 8, "branch_time_in_par": 8, "brazil": 4, "break": 11, "briefli": [8, 12], "brier": 14, "brier_scor": 14, "bring": [10, 12], "brockmann": 4, "broker": [2, 4], "brows": [0, 7], "browser": 0, "bscat": 14, "budget": [4, 7], "build": [1, 5, 8, 9, 10, 11, 12, 13, 14, 15], "built": [2, 4, 10, 13, 15], "bulletin": 1, "burnt": 15, "burst": [13, 14], "button": [0, 2, 4], "bwr_r": 13, "by_label": 13, "byte": [3, 4, 15], "c": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "c3": [0, 1, 2, 3, 4, 8, 9, 13, 14, 15], "c3s_34d": 9, "c3s_comment": 9, "c3s_disclaim": 9, "c4820a3daea": 9, "c5fe83e2": 10, "c_season": 4, "ca": 9, "cach": [1, 2, 9, 11, 12, 14], "caconvent": 9, "cadspi": 5, "calcual": 6, "calcul": [4, 6, 7, 9, 11, 14], "calendar": [13, 14], "calibr": 3, "call": [1, 2, 8, 9, 10, 11, 12, 13, 14], "callabl": [8, 9], "cam": 7, "cambridg": 2, "can": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "canada": [1, 9], "canadian": [9, 15], "canesm2": 9, "canesm2_histor": 9, "canesm2_rcp45": 9, "canesm2driving_experiment_nam": 9, "canesm2experiment_id": 9, "cannot": [2, 9], "canrcm4": 9, "canrcm4rcm_version_id": 9, "captur": 5, "carbon": 4, "care": [5, 14], "cart": 15, "cartopi": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "case": [1, 4, 5, 6, 8, 10, 11, 12, 13], "cat": 14, "catalogu": [2, 3, 4, 5, 6], "categor": 14, "categori": [0, 1, 6, 9, 13], "category_edg": 14, "cater": 14, "catnam": 14, "catropi": 2, "caus": 3, "cax": [4, 5, 13], "cb": [2, 14], "cbar": [1, 3, 4, 5, 6, 9, 10, 12, 13, 15], "cbar_ax": [4, 5, 13], "cbar_label": 6, "cbar_tick": 15, "cbar_titl": 15, "cc": 1, "cccma": 9, "cccma_canesm2": 9, "cccma_canrcm4": 9, "cccma_info": 9, "cccmacontact": 9, "cci": 4, "ccr": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "cd": 6, "cdi": 6, "cdm": [1, 6, 13], "cdo": [6, 12], "cdr": 2, "cdsapi": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "cdsapi_kei": 14, "cdsapi_kwarg": [6, 15], "cdsapi_url": 14, "cdsapirc": [0, 6, 15], "cdsapp": 4, "cell": [1, 2, 4, 6, 8, 9, 10, 11, 12, 13, 14, 15], "cell_method": [8, 9], "cellunit": 4, "celsisu": 9, "celsiu": [1, 9, 11], "cem": [6, 15], "center": 2, "centr": [6, 8, 9, 13, 14, 15], "central": [3, 4, 15], "central_latitud": 10, "certain": 3, "certifi": [1, 10, 11], "cf": [1, 3, 4, 6, 8, 9, 10, 11, 12, 13], "cf3f88ba": 12, "cfc11": 9, "cfc12": 9, "cfeatur": [1, 2, 3, 6, 8, 9, 10, 11, 13, 14], "cfgrib": [1, 6, 13, 14], "cftime": [8, 9], "ch4": 9, "chanc": 4, "chang": [0, 1, 2, 3, 4, 5, 8, 11, 14, 15], "chapter": 2, "charact": [1, 2, 6, 8, 10, 11, 12, 15], "character": 5, "characteris": 5, "characterist": [4, 9, 10], "chardet": 11, "charg": [3, 4], "charset": [1, 10], "chart": [1, 10, 11, 13], "check": [6, 12, 14, 15], "chichon": 2, "chname": 6, "choic": 8, "choos": [0, 4, 5, 6, 11, 12, 13, 15], "chose": 6, "chosen": [0, 6, 12], "chunk": [3, 4, 8, 14, 15], "chunksiz": [3, 4, 15], "chunktyp": [4, 15], "cice": 8, "circl": 13, "circul": 9, "citat": [3, 4, 8, 15], "citi": 11, "clara_a3": 3, "clara_avhrr": 3, "claus": 8, "clean": 4, "clear": [3, 7, 10], "clearli": [5, 10], "clev": 4, "click": [0, 2, 3, 4, 5], "client": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "clim": [12, 15], "clim_month": 10, "clim_month_weight": 10, "clim_period": 10, "clim_rep": 12, "clim_std": 10, "clim_std_weight": 10, "clima": [3, 15], "climat": [2, 3, 4, 6, 14], "climate_data_record_typ": 3, "climatolog": [3, 6, 12], "climatologi": [1, 6, 7, 14, 15], "clone": [2, 12, 14], "clong_nam": 12, "close": [3, 4, 11], "closer": 13, "cloud": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15], "cloud_over_land": 4, "cloudi": 3, "cloudless": 2, "cm": [2, 4], "cm4": 8, "cm5": 8, "cm6a": 8, "cmap": [1, 2, 3, 4, 5, 6, 9, 10, 12, 13, 14, 15], "cmcc": 14, "cmcc_s35_stmonth03_hindcast1993": 14, "cmip": 8, "cmip6": 7, "cmip6_agg": 8, "cmip6_agg_": 8, "cmip6_annual_global_ta": 8, "cmip6_monthly_1850": 8, "cmip6_monthly_2015": 8, "cmip6_nc": 8, "cmip6_nc_rel": 8, "cmip6_zip_path": 8, "cmip6mo_runid": 8, "cmip6parent_source_id": 8, "cmip6variable_id": 8, "cmipbranch_method": 8, "cmipparent_experiment_id": 8, "cmor": 8, "cmor_vers": 8, "cmsaf": [3, 4], "cmsaf_hoap": 4, "cmsaf_hoaps_05deg_2002": 4, "cmsaf_l2_processor": 3, "cmsaf_l3_processor": 3, "cmsaf_platform_and_orbit": 3, "cmsafesa_filenam": 4, "cmsafgacl3_v3": 3, "cmsafproject": 3, "cmsafpublisher_email": 4, "cmsafpublisher_nam": 4, "co": [2, 4, 8, 10, 11, 12, 13], "co2": 9, "coarser": 8, "coast": [4, 5, 9], "coastal": 4, "coastlin": [1, 2, 3, 4, 5, 6, 9, 10, 12, 13, 14, 15], "code": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15], "coher": 13, "col": 4, "colab": 7, "colder": 12, "coldest": 1, "collect": [4, 5, 8, 10, 12, 13], "color": [1, 2, 3, 4, 6, 8, 9, 10, 11, 12, 13, 14, 15], "colorama": [1, 10], "colorbar": [1, 2, 3, 4, 5, 6, 9, 10, 12, 13, 14, 15], "colormap": [2, 3, 4, 12, 15], "colour": [2, 4, 5, 6, 8, 12, 13, 15], "colourbar": 10, "colum": [5, 10], "column": [7, 10, 13], "com": [6, 12], "combi_tcwv_climatologi": 4, "combi_tcwv_global_monthly_climatologi": 4, "combi_tcwv_global_timeseri": 4, "combi_tcwv_monthly_climatologi": 4, "combi_tcwv_seasonal_climatologi": 4, "combi_tcwv_timeseries_climatologi": 4, "combin": [1, 2, 3, 4, 10, 13], "combust": 15, "come": [2, 3, 13, 14], "comfort": 3, "command": [1, 3, 5, 6, 8, 10, 11, 12], "comment": [3, 4, 6, 12], "commiss": [6, 15], "common": [0, 1, 3, 4, 5, 6, 7, 8, 13, 15], "commonli": [1, 4, 5, 8, 10, 11, 12], "comp": 6, "compar": [5, 9, 10, 12, 14], "comparison": [4, 6, 9, 14], "complementari": [3, 4], "complet": [1, 2, 9, 11, 12, 13, 14], "complianc": 4, "compliant": 10, "compon": [0, 1, 2], "compress": [2, 4, 8, 9], "compris": [2, 3, 10, 11, 12], "comput": [1, 2, 3, 4, 6, 8, 10, 11, 15], "concat": [5, 14], "concat_dim": [2, 3], "concaten": [3, 4, 9, 14], "concentr": [3, 9], "conclus": 5, "conda": [12, 13], "condit": [0, 1, 2, 3, 4, 6, 8, 9, 10, 11, 12, 13, 14, 15], "conditionsunit": 3, "conduct": 3, "confid": 14, "config": [14, 15], "configur": [4, 14], "confirm": 4, "confluenc": 6, "conform": 1, "connect": [6, 15], "consecut": 10, "consequenti": 9, "consid": [3, 9, 10, 12, 13, 15], "consider": [5, 8, 10, 12], "consist": [2, 5, 8, 10, 12, 14], "consolid": [6, 15], "consolidated_dataset": 15, "constant": [10, 12, 13], "construct": [3, 5, 8, 9], "consult": [4, 8], "contact": [3, 4, 9], "contain": [1, 2, 3, 4, 5, 7, 8, 10, 11, 12, 13, 14], "container_1608030060513_159307_01_000003": 4, "content": [2, 3, 4, 5, 6, 8, 9, 15], "content_length": [2, 9, 11, 12, 14], "content_typ": [2, 9, 11, 12, 14], "context": [9, 12, 13], "contin": [3, 5], "continu": [3, 6, 9], "contour": [4, 15], "contourf": [4, 13, 14, 15], "contract": 9, "contractor": 6, "contribut": [2, 3, 4], "control": [4, 8], "convect": 2, "conveni": [5, 12], "convent": [1, 3, 6, 8, 9, 10, 11, 12, 13], "converg": 4, "convers": 5, "convert": [1, 4, 5, 8, 9, 11, 12, 15], "cool": 1, "cooler": [2, 10, 12], "coolwarm": [9, 10], "coord": [2, 4, 12, 14, 15], "coordin": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "copernicu": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "copi": [0, 1, 2, 3, 4, 6, 8, 10, 11, 12, 13, 14, 15], "copyright": [3, 4, 9], "cordex": 7, "cordex_zip_path": 9, "cordexcordex_domain": 9, "core": 15, "corr": 14, "corr_pval": 14, "correct": [2, 3, 4, 5, 10, 11, 12], "correctedcmsaf_l2_processor": 3, "correctli": 12, "correl": 15, "correspond": [2, 3, 4, 5, 8, 10, 11, 12, 13, 14], "corrpvalvalu": 14, "corrvalu": 14, "cosin": [2, 4, 8, 10, 11, 12, 13], "could": [3, 4, 6, 8, 10, 11, 12, 13, 15], "count": [14, 15], "countri": [3, 6], "countsmissing_data": 3, "coupl": [4, 9, 14], "cours": [4, 8], "cover": [2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 15], "coverag": [0, 1, 2, 3, 4, 5, 8, 9, 10, 11, 12], "cppv6": 3, "cr": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "crdp": 4, "cream": 3, "creat": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 15], "createcopi": 6, "creation": [4, 8, 12], "creation_d": [8, 9], "creativ": 8, "creativecommon": [1, 8], "creator_email": 3, "credenti": [1, 6, 8, 9, 10, 11, 12, 13, 14, 15], "credit": [3, 4], "crop": 3, "cross": 4, "curat": 9, "current": [0, 1, 3, 4, 5, 10, 12], "custom": [2, 10, 13, 15], "customis": [4, 10, 12, 13], "cxc": [1, 10, 11, 12], "cymax": 15, "cymin": 15, "d": [2, 5, 8, 10, 11, 12, 13, 15], "d059": 14, "d15d36": 15, "d2": 4, "d3": 13, "d4": 4, "d5ed": 8, "d8b365": 13, "da": [8, 10, 11, 15], "da_agg": 8, "da_celsiu": 12, "da_celsius_weight": 12, "da_degc": 10, "da_summ": 15, "da_tcwv": 4, "da_tcwv_clim": 4, "da_tmp": 12, "da_weight": 8, "da_yr": 8, "dai": [0, 1, 3, 4, 5, 8, 11, 12, 13], "daili": [3, 4, 6, 9, 15], "daily_mean": 9, "damag": 9, "dark": [5, 12], "darkr": 11, "dask": [3, 4, 8, 14, 15], "dat": 5, "data0": [11, 12], "data3": 9, "data5": 12, "data6": [2, 9], "data8": 14, "data9": 14, "data_10": 8, "data_50": 8, "data_90": 8, "data_d": 8, "data_dir": [6, 15], "data_format": [1, 2, 6, 8, 9, 10, 11, 12, 14, 15], "data_lic": 9, "data_var": 14, "dataarrai": [1, 2, 4, 8, 9, 10, 12, 13, 14, 15], "dataarraynumb": 13, "datadir": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "datafil": 5, "datafram": [10, 13], "dataset": [1, 5, 6, 8, 9, 10, 11, 12, 15], "dataset2": 5, "dataset3": 5, "dataset_mean_long": 5, "dataset_si": 3, "dataset_typ": 15, "datasetdimens": [1, 3, 4, 6, 8, 9, 10, 11, 12, 13], "datastructur": 5, "datazipfil": 5, "date": [2, 5, 6, 8, 14], "date_cr": [3, 4], "date_end": 2, "date_rang": 2, "dates_rng": 2, "datestart": 2, "datetim": [5, 13, 15], "datetime360dai": 8, "datetime64": [1, 3, 4, 6, 10, 11, 12, 13, 14], "datetimeindex": [3, 4, 6, 10, 12, 13], "datetimenoleap": 9, "dateutil": [13, 14], "datstr": 5, "datum": 4, "dayofyear": 6, "dayproduct": 9, "days_in_sep": 11, "dayslong_nam": [6, 13], "dc2e": 9, "dd": [4, 13, 15], "de": [3, 4, 6], "deal": 5, "dec": [6, 9, 10], "decad": [2, 4, 10, 11, 12], "decemb": [2, 3, 4, 8, 10], "decode_tim": 2, "decompos": 4, "decomposit": 4, "decreas": [2, 3], "decreasingarrai": [6, 13, 15], "dedic": 14, "def": [6, 8, 13, 14, 15], "default": [0, 2, 3, 8, 10, 12, 13, 14], "defens": 4, "defin": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 14, 15], "deg": [8, 13], "deg2rad": [4, 8, 10, 11, 12, 13], "degc": 8, "degrad": 15, "degre": [0, 1, 4, 8, 9, 10, 11, 12, 14], "degreegeospatial_lat_min": 3, "degreegeospatial_lon_min": 3, "degreegeospatial_lon_resolut": 4, "degreekey_vari": 4, "degrees_eastaxi": [3, 6, 8], "degrees_eastgeospatial_lat_resolut": 4, "degrees_eastgeospatial_lon_resolut": 3, "degrees_eastlong_nam": [10, 11, 12], "degrees_eaststandard_nam": [1, 4, 6, 9, 13], "degrees_north": 4, "degrees_northaxi": [3, 6, 8], "degrees_northgeospatial_lat_resolut": 3, "degrees_northgeospatial_lon_unit": 4, "degrees_northlong_nam": [10, 11, 12], "degrees_northstandard_nam": [1, 6, 9, 13, 15], "degreesaxi": 9, "delai": 12, "delet": [2, 4], "deliv": 5, "delta": 9, "demonstr": [1, 5, 6, 7, 9, 13, 14, 15], "denot": 6, "densiti": 5, "depend": [2, 5, 8, 12, 13, 14], "depict": 4, "deprec": [2, 3, 4, 5, 10], "deproject": 4, "depublisher_url": 4, "derefer": 3, "deriv": [2, 3, 4, 5, 7, 9, 13, 14], "describ": [1, 2, 3, 4, 13, 14], "descript": [0, 8, 11, 13], "description_width": 13, "desert": 3, "design": [3, 4, 6, 9], "desir": 5, "desk": [3, 4, 15], "detail": [0, 4, 5, 8, 13, 14], "detect": 12, "determin": 4, "detial": 13, "develop": [4, 5, 9, 15], "deviat": [3, 4, 10, 12, 13], "devon": 8, "devot": 14, "df": 10, "dfcb": 5, "dhaka": 6, "diagram": 4, "dict": [4, 13, 14], "dictionari": [4, 13, 14], "did": [9, 13, 14], "differ": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 12, 13, 14], "differenti": 12, "difficult": 2, "diffrenc": 15, "digital_object_identifi": 3, "dim": [1, 2, 3, 4, 5, 6, 8, 10, 12, 14, 15], "dimens": [1, 2, 3, 4, 5, 6, 9, 11, 12, 13, 14, 15], "dimension": [1, 3, 4, 8, 9, 10, 11, 12, 14], "dioxid": 4, "direct": 15, "directli": [1, 5, 6], "directori": [0, 1, 2, 3, 4, 5, 6, 8, 10, 11, 12, 13, 14, 15], "dis24": 6, "dis24grib_griddefinitiondescript": 6, "dis24grib_unit": 6, "disabl": [1, 2, 3, 4, 6, 8, 9, 10, 11, 13, 14], "disable_warn": [1, 2, 3, 4, 6, 8, 9, 10, 11, 12, 13], "discarg": 6, "disclaim": 9, "discov": [7, 11], "discoveri": 3, "discret": 15, "discretis": 13, "discuss": [2, 4], "disk": [1, 2, 14], "displai": [0, 3, 4, 6, 15], "disrupt": 15, "dissemin": [8, 9, 13], "distinct": 12, "distinguish": 10, "distribut": [6, 11, 13, 14], "diverg": 12, "divid": [3, 8, 9], "djf": 4, "dmsp": 4, "do": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "dobson": 5, "doc": 8, "document": [0, 1, 2, 3, 4, 5, 12, 13, 14], "doe": [3, 11, 12], "doesn": [2, 3, 6, 14], "doi": [3, 4, 15], "domain": [0, 4, 9], "domin": 4, "don": 14, "done": [2, 3, 4, 5, 6, 8, 13, 14], "donwload": 15, "dot": 6, "doubl": 15, "dowload": 5, "down": 8, "download": [7, 14], "download_": 15, "download_claraa3_srb": 3, "download_fil": [6, 15], "download_format": [2, 6, 8, 9], "download_zip_fil": [2, 4], "downloaded_zip_fil": 3, "downloadwarn": 12, "downsampl": 10, "downwel": 3, "dpi": [2, 9, 15], "dramat": 12, "draw_label": [1, 2, 6, 9, 10, 12, 13], "driest": 4, "driven": 9, "driver": 4, "drop": [1, 2, 9, 10, 12, 13, 14], "drop_var": 13, "dropdown": 13, "dropdown_opt": 13, "dropna": [2, 11], "dry": 3, "ds_180": [10, 12], "ds_1971_2000_histor": 9, "ds_2071_2100_project": 9, "ds_combi": 4, "ds_hindcast": 13, "ds_hindcast_3m": 13, "ds_hindcast_3m_hindcast_mean": 13, "ds_latlon_subet": 13, "ds_latlon_subset": 13, "dsout": 13, "dt": [1, 5, 13, 15], "dtype": [1, 3, 4, 6, 8, 9, 10, 11, 12, 13, 15], "dtz": 2, "du": 5, "due": [1, 2, 3, 4, 5, 8, 13, 15], "durat": 15, "dure": [2, 3, 8, 10, 12], "dw": 1, "dwd": [3, 4], "dwdcreator_url": 3, "dynam": 5, "e": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "e6": 6, "each": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14], "eager": 8, "ear": 4, "earli": [5, 6, 15], "earlier": [2, 3, 14], "earth": [0, 3, 4, 10, 12], "earthcreator_url": 4, "earthshin": 5, "easi": [5, 14], "easier": [1, 3, 4, 10, 11, 12, 14, 15], "easiest": [2, 12], "easili": [4, 5, 10, 13], "east": [0, 4, 11, 13], "eastern": [3, 4], "ec": [9, 11], "eccod": [1, 6, 13], "ecmf": [6, 13], "ecmfgrib_centredescript": [6, 13], "ecmw": [11, 12], "ecmwf": [0, 1, 6, 9, 10, 11, 12, 13, 14, 15], "ecmwf123": 12, "ecmwf_seas5_1993": 13, "ecmwf_seas5_2021_05_forecast_monthly_tp": 13, "ecmwflib": 6, "ecv": [2, 3, 4], "ed": 2, "edgecolor": [2, 3, 6, 14, 15], "edit": [2, 3, 4, 5, 7, 13], "effect": [2, 3, 4, 9], "effi": 15, "effici": [1, 4, 10, 11, 12], "either": [0, 6, 8, 9], "el": [2, 4], "electromagnet": 2, "elem": 14, "element": [8, 12, 14, 15], "elif": 14, "els": [6, 12, 13, 14, 15], "em": 15, "emerg": [6, 15], "emiss": 2, "emit": [2, 3], "empti": 11, "en": 8, "enabl": [0, 2, 3, 10, 13], "encod": [13, 14], "encode_cf": [1, 6, 13], "encourag": [5, 10], "end": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14], "end_year": 9, "endpoint": [3, 4, 5], "engag": 7, "engin": [6, 13, 14], "enhanc": 3, "enough": 8, "ensembl": [5, 9, 14], "ensemble_memb": 9, "ensur": [1, 2, 4, 6, 8, 13, 14, 15], "entir": [6, 8, 9, 10, 12], "entiti": 6, "entri": [2, 3, 4, 5, 6, 10, 11], "entrust": 6, "enumer": [4, 5], "env": 15, "envelop": 4, "enviro": 15, "environ": [1, 2, 3, 4, 7, 9, 10, 11, 12], "environment": [3, 4], "envisat": 4, "eo": 4, "eorca1": 8, "equal": [3, 12], "equat": [2, 3, 4], "equatorgeospatial_lat_unit": 4, "equatori": [2, 5], "equival": 14, "er": 5, "era": [9, 10], "era5": 10, "era5_1deg": 14, "era5_1deg_3m": 14, "era5_arctic_t2m_jan1979": 10, "era5_europe_2020": 10, "era5_global_2016_anomaly_eur": 10, "era5_monthly_stmonth": 14, "era5_monthly_stmonth03_1993": 14, "era5_monthly_t2m_arc": 10, "era5_monthly_t2m_eur": 10, "era5t": 12, "erb": [2, 3], "error": [0, 9, 13], "erupt": 2, "es2l": 8, "esa": 4, "esacci": 4, "esgf": 9, "esm1": 8, "esotc_region": 15, "essenti": [2, 3, 4], "establish": [6, 15], "estim": 13, "eswi": 1, "eswigrib_centredescript": 1, "et": 2, "etc": [3, 4, 8, 10, 13], "eu": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "eum_saf_cm": [3, 4], "eumetsat": 4, "eur_monthly_t2m_clim": 10, "europ": [1, 10, 11, 15], "europe_data": 15, "european": [1, 2, 3, 6, 10, 13], "evalu": [8, 9, 10, 12], "evapor": 4, "even": [8, 11, 13], "event": [3, 4, 9, 11, 14, 15], "ever": 11, "everi": [3, 11], "everyth": [3, 12], "evolut": [4, 6, 12], "evolv": 15, "ewd": 15, "ex1": 8, "exactli": 6, "examin": 8, "exampl": [1, 3, 4, 5, 6, 7, 9, 10, 11, 13, 14, 15], "example_1_hirs_olr_mean": 2, "example_2_olr_timeserie_glob": 2, "example_3_olr_timeserie_arct": 2, "exce": 6, "exceed": 11, "except": [4, 8, 14, 15], "exception": 3, "excess": [6, 15], "exclam": [1, 3, 6, 10, 11], "exclud": 8, "exclus": 9, "execut": [0, 3, 9], "exemplari": 3, "exercis": [8, 11], "exet": 8, "exist": [2, 3, 5, 8, 9, 14], "exist_ok": [3, 6, 15], "exp": 8, "expand": [11, 12], "expand_dim": 8, "expans": [2, 3, 4], "expect": [11, 12, 14], "experi": [7, 9], "experienc": [3, 6, 11], "experiment_id": 8, "expierenc": 10, "explain": [2, 3, 4, 12], "explicitli": 6, "exploit": 3, "explor": 13, "exploratori": 12, "export": [2, 3, 4, 5, 7], "express": [6, 8, 9, 13, 15], "exptect": 11, "extend": [2, 3, 4, 5, 11, 13, 14, 15], "extens": [2, 3, 4], "extent": [6, 8, 9, 13, 15], "extern": [1, 14], "extra": [4, 5, 12], "extract": [3, 4, 5, 6, 7, 9, 11, 12, 15], "extractal": [2, 3, 4, 5, 8, 9], "extrem": [3, 4, 12], "f": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "f13": 4, "f14": 4, "f15": 4, "f96dc014": 4, "facecolor": [2, 15], "facil": [3, 4], "facilit": [8, 9, 11, 13], "factor": 11, "fail": 8, "fals": [1, 2, 3, 4, 5, 6, 9, 10, 14, 15], "famili": [3, 4], "familiar": 3, "far": [1, 8, 12], "fc": 15, "fcgrib_numberofpoint": 15, "fcmean": 13, "fcmeangrib_numberofpoint": 13, "fcmonth": [13, 14], "fdeaa5": 15, "featur": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 13, 14, 15], "februari": [3, 4, 13], "fec34d": 15, "feed": 5, "feedback": [9, 15], "feel": 3, "few": [3, 5], "fewer": 15, "ff7a0baba8af": 11, "ffbd20fd5f25": 4, "field": [3, 4, 5, 6, 10, 15], "fig": [1, 3, 6, 8, 9, 10, 11, 12, 13, 14, 15], "fig1": [2, 4], "fig2": 4, "fig3": 4, "fig4": 4, "fig5": 4, "fignam": 14, "figpath": 3, "figsiz": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "figur": [2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "file": [0, 1, 2, 3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15], "filelist": [2, 4], "filenam": [2, 4, 8, 9, 11], "fill": [11, 12, 13, 15], "fill_between": [4, 6, 8, 10, 11, 12, 13, 15], "filter": [10, 11], "filter_by_kei": [1, 6, 13], "filterwarn": 14, "final": [1, 2, 3, 4, 8, 9, 10, 12, 13, 14], "find": [0, 2, 3, 4, 7, 8, 9, 13, 14], "fire": [6, 7], "fire_weather_index": 15, "first": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "firstli": [2, 3], "fit": [4, 8, 9], "fitzroi": 8, "five": [8, 9, 10, 13], "fix": 13, "flag": [3, 4, 8], "flag_mean": [3, 4], "flag_valu": 4, "flagunit": 4, "flammabl": 15, "flatten": [5, 6], "fldmean": 12, "flexibl": 8, "float": 14, "float32": [1, 3, 4, 6, 8, 9, 10, 11, 12, 13], "float320": 6, "float32279": 9, "float323": 11, "float3251": 11, "float3260": 12, "float3272": 10, "float3289": 4, "float3290": 12, "float32dask": [3, 4], "float64": [1, 3, 4, 6, 8, 9, 10, 12, 13, 15], "float640": [6, 8, 13, 15], "float641": 8, "float6410": 1, "float6413": 8, "float642": 9, "float6430": 6, "float64335": 9, "float6484": 6, "float6489": 6, "float6490": [13, 15], "float64dask": [3, 4], "float64index": [10, 12], "flood": 7, "flux": [2, 3, 13], "flwdir_202001_03min": 6, "fmt": 11, "fn": 8, "focu": [9, 10, 13, 14], "focus": 3, "focuss": 13, "folder": [2, 3, 14], "follow": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "font": [10, 14], "fontsiz": [1, 2, 3, 4, 5, 6, 9, 10, 12, 13, 14, 15], "fontweight": 15, "forc": [6, 8, 9, 14], "forecast": [6, 10, 12], "forecast_period": 6, "forecast_periodarrai": [1, 6, 13], "forecast_reference_timearrai": [1, 6, 13], "forecast_reference_timestandard_nam": [1, 6, 13], "forecast_reference_timeunit": 13, "forecastmonth": [13, 14], "forecastsgrib_subcentr": [6, 13], "forecastshistori": [6, 13], "forecaststandard_nam": [1, 6, 13], "forest": 15, "forg": [12, 13], "form": [1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15], "format": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "formula": [1, 11], "foster": 2, "found": [2, 3, 5, 6, 8, 14, 15], "four": [3, 4, 5, 8, 9, 12], "fpath": 14, "fraction": [1, 2, 3, 4, 6, 9, 10, 12, 13], "frame": [4, 10, 13, 15], "franc": [3, 8, 11], "free": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15], "freeli": 7, "freq": [2, 3, 4, 6, 10, 12], "frequenc": 2, "fri": 6, "from": [1, 2, 4, 5, 6, 7, 15], "ft": 1, "fuel": 15, "fugur": 13, "full": [2, 3, 8, 9, 10, 13, 14], "fullest": 8, "fulli": 7, "function": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "fund": 4, "further": [2, 3, 4, 5, 8, 9, 11, 12, 13], "further_info_url": 8, "furtherinfo": 8, "furthermor": [3, 4], "futur": [0, 4, 7, 8], "fv3": 4, "fw": 1, "fwi": 7, "fwi_anom_europe_v_nowhit": 15, "fwi_over_50": 15, "fwi_threshold": 15, "fwinx": 15, "fwinxgrib_griddefinitiondescript": 15, "fwinxgrib_unit": 15, "g": [0, 1, 3, 4, 5, 6, 8, 9, 10, 13, 14], "ga": 4, "ga7": 8, "gac": 3, "gap": [10, 12], "gaseou": 4, "gb": 3, "gc": 9, "gc31": 8, "gca": [5, 13], "gcm": 9, "gcm_model": 9, "gcmd": [3, 4], "gco": 2, "gdal": 6, "gdal_area_or_point": 6, "gdal_pcraster_valuescal": 6, "gener": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "geodet": 4, "geog_agg": 8, "geogc": 4, "geograph": [0, 1, 2, 3, 4, 8, 9, 11, 12], "geographi": [1, 6, 13], "geophys": 2, "georeferenc": 4, "geoscienc": [3, 4], "geospati": [5, 6, 13, 14], "geospatial_lat_min": 4, "germani": [3, 8], "gespati": 6, "get": [0, 4, 10, 12, 14, 15], "get_cmap": 2, "get_legend_handles_label": [4, 8, 10, 11, 13], "get_thresh": 14, "get_ylim": 14, "getitem": 4, "ghg": 9, "gib": 3, "github": [0, 6, 8, 9, 13], "give": [0, 2, 3, 5, 6, 8, 10, 13], "given": [1, 3, 4, 5, 6, 8, 10, 11, 12, 13, 14], "gl": [2, 3, 4, 9], "gl7": 8, "glob": [2, 5, 8, 9], "global": [1, 6, 9, 10], "globe": [2, 6], "glofas_anomali": 6, "glofas_climat_quantil": 6, "glofas_climatologi": 6, "glofas_data": 6, "glofas_data_mask": 6, "glofas_dis24_domain_mean": 6, "glofas_high": 6, "glofas_historical_period": 6, "glofas_relanom": 6, "glofas_xy_2022": 6, "glofas_xy_2022_mean": 6, "glofas_xy_clim_max": 6, "glofas_xy_clim_min": 6, "glofas_xy_clim_quantil": 6, "glofas_xy_climatologi": 6, "glomap": 8, "glosea6": 14, "gmt": [10, 11, 12], "gnhistori": 8, "go": [0, 6, 11, 12, 14], "go6": 8, "goe": [12, 14], "gome": 5, "good": [3, 14], "googl": 7, "gov": 8, "govern": [8, 9], "gradual": 3, "grai": [1, 2, 3, 4, 6, 9, 10, 12, 13], "grant": 9, "graph": [3, 4, 10, 11, 15], "graphic": [13, 14], "greater": [6, 15], "greec": 3, "green": [4, 8, 10, 11], "greenhous": 4, "greenwich": 4, "grei": [11, 12, 15], "grib": [0, 1, 6, 10, 11, 12, 13, 14, 15], "grib2": 6, "grib_centr": [1, 6, 13], "grib_centredescript": [1, 6, 13], "grib_cfnam": [1, 13], "grib_cfvarnam": [1, 13], "grib_datatyp": [1, 13, 15], "grib_dxinmetr": 1, "grib_dyinmetr": 1, "grib_edit": [1, 6, 13], "grib_griddefinitiondescript": [1, 13], "grib_gridtyp": [1, 13], "grib_idirectionincrementindegre": 13, "grib_iscansneg": [1, 13], "grib_jdirectionincrementindegre": 13, "grib_jpointsareconsecut": [1, 13], "grib_jscansposit": [1, 13], "grib_ladindegre": 1, "grib_latin1indegre": 1, "grib_latin2indegre": 1, "grib_latitudeoffirstgridpointindegre": [1, 13], "grib_latitudeoflastgridpointindegre": 13, "grib_latitudeofsouthernpoleindegre": 1, "grib_longitudeoffirstgridpointindegre": [1, 13], "grib_longitudeoflastgridpointindegre": 13, "grib_longitudeofsouthernpoleindegre": 1, "grib_lovindegre": 1, "grib_missingvalu": [1, 13], "grib_nam": [1, 13, 15], "grib_ni": [1, 13], "grib_numberofpoint": [1, 13, 15], "grib_nv": [1, 13], "grib_nx": [1, 13], "grib_paramid": [1, 6, 13, 15], "grib_shortnam": [1, 13, 15], "grib_steptyp": [1, 13, 15], "grib_stepunit": [1, 13, 15], "grib_subcentr": [1, 6, 13], "grib_to_n": 10, "grib_to_netcdf": [10, 11, 12], "grib_totalnumb": 13, "grib_typeoflevel": [1, 13, 15], "grib_unit": [1, 13, 15], "grid": [0, 1, 4, 5, 8, 9, 11, 12, 13, 14, 15], "grid_latitudearrai": 9, "grid_longitudearrai": 9, "grid_map": 9, "grid_mapping_nam": 9, "gridcel": 15, "gridcom": 4, "gridfilenam": 3, "gridgrib_idirectionincrementindegre": 13, "gridlin": [1, 2, 3, 4, 6, 8, 9, 10, 11, 12, 13], "gridunit": 9, "ground": [5, 14], "group": [4, 8, 9, 10], "groupbi": [3, 4, 6, 8, 9, 10, 11, 12, 15], "gsi8": 8, "gt": [1, 3, 4, 6, 8, 9, 10, 11, 12, 13, 15], "guid": [2, 3, 4, 7, 8], "guidanc": 14, "guidelin": [3, 4], "gurnei": 2, "gz": 9, "h": [1, 14], "h_hi": 14, "h_lo": 14, "ha": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "had": [3, 5, 6, 11, 12], "hadgem3": 8, "hadgem3_gc31_l": 8, "hadl": 8, "hadlei": 8, "half": 10, "hand": 3, "handl": [1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 13], "hansen": 2, "happen": [3, 12, 14], "hard": 6, "harmoni": 1, "harrison": 2, "has_year_zero": [8, 9], "hasn": 14, "hatch": 14, "have": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "hcendi": 14, "hcmean": 14, "hcmean_3m": 14, "hcst": 14, "hcst_3m": 14, "hcst_bname": 14, "hcst_fname": 14, "hcstarti": 14, "hd3": 4, "hdai": 6, "hdl": [8, 9], "head": 10, "heat": [2, 3, 4, 5, 13], "heatwav": [6, 7, 10], "heavy_precip_over_ocean": 4, "height": [1, 8, 9, 13], "heightaboveground": 1, "heightabovegroundgrib_stepunit": 1, "heightarrai": [1, 8], "heightlong_nam": 9, "heightposit": 9, "heightstandard_nam": 8, "help": [1, 2, 3, 4, 6, 8, 9, 10, 11, 12, 13, 14, 15], "hemispher": [4, 5], "here": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "herebi": 9, "hide": 2, "high": [2, 3, 4, 5, 10, 11, 15], "higher": [3, 4], "highest": [3, 4, 8, 9, 11], "highlight": [10, 12, 13, 15], "hist": 11, "hist_max_t2m_mid": 11, "histogram": 11, "histor": [6, 8], "histori": [1, 6, 9, 10, 11, 12, 13], "historicaldriving_experi": 9, "historicaldriving_model_ensemble_memb": 9, "historicalexternal_vari": 8, "history_of_appended_fil": 6, "histroic": 6, "hmonth": 6, "hoap": 4, "hold": [1, 4, 10, 11, 12], "home": [0, 4], "homebrew": 15, "homepag": 6, "horizon": 3, "horizont": [2, 3, 4, 5, 12, 13], "horizontal_aggreg": 4, "horizontal_resolut": 9, "host": 14, "hottest": [10, 11], "hour": [1, 6], "hourli": [11, 12], "hoursgrib_shortnam": 6, "hoursunit": 6, "hovm\u00f6ller": [4, 5], "how": [0, 1, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 15], "howev": [1, 3, 4, 5, 6, 8, 10, 11, 12, 13], "hspace": [4, 5, 13], "ht": 6, "html": [3, 8, 12, 13], "http": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "hugetmp": 6, "human": 15, "humid": 15, "hydrolog": 6, "hydrological_model": 6, "hyear": 6, "i": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 13, 14, 15], "i2m": 4, "i_season": 4, "ibicu": 7, "ic": [3, 4], "icat": 14, "icon": [11, 12, 13, 14], "id": [1, 3, 4, 5, 6, 8, 10, 11, 12, 15], "idea": [3, 4, 5, 6, 9, 10, 11], "ideal": 8, "ident": [13, 15], "identifi": [3, 4, 5, 11], "idna": [1, 10, 11], "idunit": 13, "idx": 14, "ignit": 15, "ignor": [3, 6, 14], "illustr": [3, 4, 5], "im": [1, 2, 3, 4, 6, 9, 10, 12, 13], "imag": [2, 4], "imagerinstru": 4, "imagersinstitut": 4, "img": 15, "impact": 5, "implement": [1, 6, 8], "impli": [8, 9], "import": [0, 8, 9, 13, 14], "impos": 9, "improv": [3, 13, 14, 15], "includ": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "incom": 2, "increas": [2, 3, 4, 5, 8, 10, 11, 12], "incur": 9, "inde": 9, "indefinit": 2, "independ": [1, 2, 4], "index": [2, 3, 4, 5, 6, 7, 10, 11, 12, 13, 14], "indexing_tim": [13, 14], "indian": 4, "indic": [1, 4, 6, 10, 11, 12, 13, 14], "indirect": 9, "individu": [2, 13, 14], "industri": 8, "inf": 14, "infer": [2, 4], "influenc": [4, 15], "info": [2, 3, 4, 5, 9, 10, 11, 12, 13, 14], "inform": [0, 5, 6, 7, 8, 9, 10, 12, 13, 15], "infrar": [2, 4], "ingest": 5, "initi": [1, 4, 6, 8, 9, 11, 12, 13, 14], "initialis": [6, 15], "initialization_index": 8, "inlin": [4, 12], "inm": 8, "inm_cm4_8": 8, "inm_cm5_0": 8, "input": [1, 3, 13], "input_distribut": 14, "insecurerequestwarn": 9, "insert": 10, "insid": 10, "instal": [2, 3, 4, 5, 7, 14, 15], "instanc": [2, 5, 12, 13], "instant": [1, 13, 15], "instantgrib_gridtyp": [1, 13, 15], "instead": [2, 8, 12, 13, 14, 15], "institut": [1, 4, 6, 9, 13, 14], "institute_id": 9, "instruct": [2, 3, 4, 5, 7], "instrument": [2, 3, 4, 5], "instrument_vocabulari": [3, 4], "insuffici": 13, "int": [3, 4, 6, 11, 12, 15], "int32": 4, "int321178880137": 4, "int64": [4, 8, 13, 15], "int640": 13, "int641": [4, 13], "int641850": 8, "int641991": 15, "int642022arrai": 15, "int6431": 13, "int8": [3, 4], "int8dask": [3, 4], "integ": [13, 14], "integr": 4, "intellectu": 9, "intens": [13, 15], "inter": [2, 4], "interact": [7, 13], "interest": [0, 1, 2, 3, 4, 5, 6, 7, 10, 11, 12, 15], "interestingli": 11, "interf": 12, "interfac": [1, 4, 6, 7, 10, 11, 12, 13, 15], "interim": 9, "intern": [8, 10, 11, 12, 14], "internet": 7, "interpol": [6, 12, 14, 15], "interpret": [1, 2, 3, 6, 10, 11], "interv": [4, 13], "introduc": [8, 9, 13, 14], "introduct": [0, 8, 9, 13, 14], "introdut": 3, "invertlat": 6, "investig": [2, 3, 4, 5, 6], "invit": [3, 7], "io": 12, "ipsl": 8, "ipsl_cm6a_lr": 8, "ipykernel": 6, "ipykernel_5360": 11, "ipykernel_91833": 2, "ipywidget": 13, "iri": 8, "irradi": 4, "irregular": 3, "is_fullensembl": 14, "isel": 6, "isfil": [6, 15], "isin": 15, "islag": 14, "isocalendar": 15, "issu": [2, 4, 13], "itali": 3, "itcz": [2, 4], "item": [8, 9, 15], "iter": 13, "its": [1, 4, 8, 9, 10, 11, 12, 13, 15], "j": [2, 8, 9, 11], "ja": 13, "jan": [1, 9, 10], "januari": [1, 2, 3, 4, 12], "japan": 8, "jet": 4, "jira": 15, "jja": [3, 4, 13], "jja_climatologi": 3, "jja_data_2003": 3, "join": [2, 4, 6, 14], "joint": [6, 15], "jule": 8, "juli": [3, 4, 5, 10], "june": [3, 4, 9], "jupyt": [1, 2, 3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15], "just": [1, 3, 4, 5, 6, 10, 11, 12, 14, 15], "k": [2, 6, 9, 10, 12, 15], "kaggl": 7, "keep": [10, 12], "keep_attr": 10, "kei": [2, 3, 4, 5, 8, 9, 13, 14], "kelvin": [1, 9, 11], "keyword": [0, 4, 10, 11, 13, 14, 15], "kg": 4, "kgrid_map": 9, "kib": [3, 4, 15], "kilometr": 1, "kind": 10, "kingdom": 1, "klong_nam": [10, 11, 12], "km": [1, 3, 8], "kmparent_activity_id": 8, "know": [6, 13], "knowledg": [6, 14], "known": [2, 12], "koriginal_nam": 8, "l": [2, 6], "l2": [2, 4], "l3": 4, "l3_tcwv_meri": 4, "l_b": 14, "l_corr": 14, "l_corr_pval": 14, "l_probs_hcst": 14, "l_probs_ob": 14, "l_roc": 14, "l_rocss": 14, "l_rp": 14, "la": [2, 4], "label": [1, 2, 3, 4, 5, 6, 8, 10, 11, 12, 13, 14, 15], "labelpad": 5, "labels": [10, 15], "lag": [4, 13, 14], "lambda": 5, "lambert": 1, "lambertgrib_dxinmetr": 1, "land": [2, 3, 4, 8, 12], "land_eur_1981_2020": 0, "landic": 8, "landscap": 15, "larg": [5, 11], "larger": 5, "last": [2, 3, 5, 6, 9, 10, 12, 13], "lat": [2, 3, 4, 5, 6, 8, 9, 12, 14], "lat1": 15, "lat2": 15, "lat_bnd": [3, 4, 8], "lat_bndsarrai": [3, 4], "lat_bndsunit": 8, "lat_field": 2, "lat_formatt": 4, "lat_limit": 6, "lat_slic": 2, "lat_slice_index": 6, "later": [2, 4, 5, 9, 10, 12, 13, 14], "latest": [3, 4, 5, 15], "latitud": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "latitude_formatt": [8, 9, 10, 11, 13], "latitudearrai": [8, 9, 10, 11, 12], "latitudeformatt": 4, "latitudegrid_label": 8, "latitudelong_nam": [1, 3, 6, 13, 15], "latitudepandasindexpandasindex": [6, 10, 12, 15], "latitudestandard_nam": 8, "latitudestored_direct": [6, 13, 15], "latitudeunit": [3, 4, 6, 9], "latitudevalid_rang": 4, "latitudin": [2, 4], "latlon_bound": 5, "latnam": 13, "latpandasindexpandasindex": [3, 4], "latter": 13, "law": 8, "layer": [3, 4, 15], "lazi": 8, "lbproc": 8, "ldd": 6, "ldd_box": 6, "ldd_global_03min": 6, "ldd_o": 6, "ldd_orig_03min": 6, "lead": [3, 4, 14], "lead_tim": 13, "leadm": 14, "leadt_end": 13, "leadtim": [13, 14], "leadtime_month": [13, 14], "leap": 13, "learn": [0, 8, 9], "leav": [2, 12], "led": 3, "left": [3, 4, 5, 6, 10, 12, 13, 14, 15], "left_label": 3, "legend": [4, 6, 8, 9, 10, 11, 12, 13, 15], "leisur": 6, "len": [8, 12, 14, 15], "lenght": 3, "length": [3, 4, 6, 10, 12, 13, 15], "less": [4, 5, 6, 8], "let": [1, 2, 4, 6, 8, 9, 10, 11, 12, 13, 14], "level": [1, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "level1_intercalibr": 3, "level_3": 5, "liabil": 8, "liabl": 9, "lib": [1, 8, 10, 11, 12, 15], "librari": [0, 5, 7, 13, 14], "licenc": 9, "licens": [0, 1, 3, 4, 8, 9, 13], "license": 9, "lie": 1, "light": 12, "lightest": 8, "lightgrai": [13, 14], "lightgrei": [11, 12], "lightn": 15, "like": [0, 1, 2, 4, 7, 10, 12, 13, 14], "lill": 11, "lille_15": 11, "lille_2020": 11, "lille_2020_max": 11, "lille_7dai": 11, "lille_max": 11, "lille_max_max": 11, "lille_max_mid": 11, "lille_max_min": 11, "lille_past": 11, "lille_t2m": 11, "limit": [5, 6, 8, 9, 12, 13, 15], "line": [2, 3, 4, 5, 9, 10, 12, 14, 15], "line2d": [10, 12], "line_bas": 6, "linear": [5, 14], "linearsegmentedcolormap": 9, "linesep": 13, "linestyl": [1, 2, 3, 4, 6, 8, 9, 10, 11, 12, 13], "linewidth": [1, 2, 3, 4, 6, 9, 10, 12, 13, 14], "link": [2, 3, 4, 5, 7, 12], "linspac": 14, "liquid": 4, "lisflood": 6, "list": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15], "list_var": 14, "listedcolormap": [9, 15], "ll": [8, 12], "ll_historical_r1i1p1f3_gn_18500216": 8, "ll_ssp126_r1i1p1f3_gn_201501": 8, "ll_ssp126_r1i1p1f3_gn_205001": 8, "ll_ssp245_r1i1p1f3_gn_201501": 8, "ll_ssp245_r1i1p1f3_gn_205001": 8, "llnl": 8, "llparent_time_unit": 8, "llsource_typ": 8, "lo": 2, "load": [4, 7, 10], "loc": [2, 6, 11, 12, 14, 15], "local": [1, 2, 4, 6, 10, 11, 12], "locat": [2, 3, 4, 6, 9, 11, 12, 13, 14, 15], "log": [0, 8, 9], "logical_and": 14, "login": [0, 1, 2, 3, 4, 5, 6, 8, 10, 11, 12, 15], "lon": [2, 3, 4, 6, 8, 9, 12, 14], "lon1": [13, 15], "lon2": [13, 15], "lon_bnd": [3, 4, 8], "lon_bndsarrai": [3, 4], "lon_bndsunit": 8, "lon_formatt": 4, "lon_limit": 6, "lon_slice_index": 6, "long": [2, 3, 4, 5, 6, 10, 11, 12, 13, 14], "long_nam": [1, 3, 4, 6, 8, 9, 10, 12, 13, 15], "longer": [6, 10, 11], "longitud": [0, 1, 3, 4, 5, 6, 8, 9, 11, 12, 13, 14, 15], "longitude_formatt": [8, 9, 10, 11, 13], "longitudearrai": [6, 8, 9, 10, 11, 12, 13], "longitudeformatt": 4, "longitudegrib_idirectionincrementindegre": [6, 15], "longitudelat": 6, "longitudelong_nam": [1, 3, 6, 13], "longitudepandasindexpandasindex": [6, 10, 12, 15], "longitudestandard_nam": 8, "longitudeunit": [3, 4, 6, 9], "longitudevalid_rang": 4, "longwav": [3, 7], "lonnam": 13, "lonpandasindexpandasindex": [3, 4], "look": [2, 3, 4, 5, 6, 7, 10, 11, 12, 13], "loop": [5, 8, 10, 11, 13, 14], "lose": 13, "low": 1, "lower": [1, 4, 8, 14], "lowest": [3, 4, 5, 11], "lr": 8, "lt": [1, 3, 4, 6, 8, 9, 10, 11, 12, 13, 15], "lu": 9, "lw": [2, 6, 12, 15], "ly": 14, "m": [1, 2, 3, 4, 5, 6, 8, 13], "m01s03i236": 8, "m2": [3, 4, 6], "m2lon": 6, "m2standard_nam": 4, "ma": 2, "made": [2, 4, 5, 6, 9, 12, 15], "magic": 12, "magma_r": 3, "mai": [1, 3, 4, 7, 8, 9, 10, 11, 12, 13, 15], "main": [0, 2, 4, 5, 6, 8, 9, 12, 13], "mainli": [4, 12], "major": 2, "make": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "makedir": [3, 6, 14, 15], "mam": [4, 13], "mamba": 12, "mambaforg": 12, "manag": [0, 2, 6, 12, 13, 15], "mani": [1, 8, 12], "manipul": [3, 4], "manual": [1, 2, 5, 8, 9, 10, 11, 12, 13, 14], "map": [1, 3, 4, 5, 8, 9, 10, 12], "mar": [0, 1, 11, 12, 14], "march": [3, 4, 14], "mark": [1, 2, 3, 6, 10, 11], "markdown": 7, "marker": 13, "mask": [2, 12, 13, 15], "mask_and_scal": 2, "masked_averag": 2, "masked_invalid": 2, "maskedarrai": 2, "masklon": 13, "mass": [4, 5], "match": [3, 6, 14], "mathmat": 3, "matplotlib": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "matplotlibdeprecationwarn": 2, "matric": 14, "matrix": [3, 14], "max": [4, 6, 11, 12, 13, 14, 15], "max_per_month_clim": 12, "max_t2m_clim_sep_lil": 11, "maxi": [8, 9], "maximum": [2, 3, 4, 6, 12, 13], "maxlat": 12, "maxlon": 12, "mcm": 8, "md5": 8, "mean": [1, 5, 6, 8, 9, 10, 11, 12, 14, 15], "mean_data": 6, "mean_masked_data": 6, "meanarrai": 9, "meancell_measur": 8, "meaning": [7, 14], "meansconvent": 3, "meanxarrai": 9, "measur": [4, 5, 10, 15], "mechan": 4, "mediterranean": 3, "medium": [4, 6, 13], "mediumslateblu": 12, "meet": 9, "member": 14, "memori": [4, 8, 15], "mention": [5, 10], "menu": [0, 13], "merchant": [8, 9], "merg": [4, 8], "merged_netcdf_fil": [2, 4], "merged_uv": 5, "meri": 4, "meridion": [1, 8], "meshgrid": 2, "messag": [0, 8], "met": 8, "meta": [3, 4, 15], "metadata": [6, 8, 9, 13, 14], "metadata_convent": 3, "meteorolog": [0, 1, 3, 4, 10, 12], "meter": 8, "method": [2, 3, 4, 5, 6, 8, 9, 12, 13, 15], "metoffic": 14, "metop": 2, "metr": [1, 10, 11, 12, 14], "metric": [1, 14], "metum": 8, "mf": 3, "mib": [3, 4, 15], "microwav": 4, "mid": [5, 8, 11], "mid_rang": 10, "middl": 14, "might": [4, 13, 15], "min": [4, 6, 11, 12, 13, 14, 15], "min_per_month_clim": 12, "miniconda": 12, "miniforg": 12, "minimum": [2, 3, 4, 6, 11, 12, 13], "minlat": 12, "minlon": 12, "minor": [2, 6, 13, 14], "minu": [9, 11], "minut": 3, "mip": 8, "miroc": 8, "miroc_es2l": 8, "miscellan": 13, "mislead": 13, "miss": [5, 8], "missionsensor": 4, "mix": 12, "mjj": 13, "mm": 14, "mmm": 15, "mnth": [2, 3], "mo": 8, "mod": 8, "modal": 0, "mode": [8, 14], "model": [4, 6, 9, 10, 12, 13, 14], "model_id": 9, "modelshistori": 9, "moder": 4, "modern": [9, 12], "modi": 4, "modif": 14, "modifi": [2, 5, 6, 15], "modificationd": 6, "mohc": 8, "mohcmip_era": 8, "moistur": 15, "mon": 6, "monfurther_info_url": 8, "monitor": [0, 3, 4], "monsoon": 3, "month": [0, 1, 2, 3, 4, 5, 6, 9, 11, 12, 14, 15], "month_abbr": 14, "monthli": [2, 3, 5, 8, 9, 14], "monthly_averaged_reanalysi": [10, 12, 14], "monthly_mean": [3, 13, 14], "monthly_v02r07": 2, "monthly_v02r07_197901_202207": 2, "monthpandasindexpandasindex": 4, "monthrang": 13, "montlhi": 4, "more": [0, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "moreov": 5, "most": [2, 3, 4, 5, 7, 10, 12], "mostli": [2, 3], "motion": 4, "mpath": [1, 8, 9, 10, 11, 13], "mpg": 6, "mpi": 8, "mpi_esm1_2_lr": 8, "mpimet": 6, "mpl": [4, 8, 9, 10, 11, 13], "mposit": 1, "msl": 14, "much": [4, 5, 6, 10], "multi": [1, 4, 8, 10, 11, 12, 13, 14], "multidimension": [1, 2, 3, 4, 6, 7, 9, 10, 11, 15], "multipl": [1, 3, 4, 5, 9, 10, 11, 12, 13, 14], "multipli": 13, "multiplication_factor_to_convert_to_du": 5, "must": [1, 3, 4, 6, 10, 11, 12, 15], "mw": 4, "mwf1": 12, "my_cmap": 15, "m\u00b2": 3, "m\u00b3": 6, "n": [0, 1, 2, 3, 4, 6, 9, 10, 11, 12, 13, 14, 15], "n2o": 9, "n96": 8, "n_month": 4, "n_year": 4, "nadir": 5, "name": [0, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "namelist": [2, 4], "namib": 3, "nan": [2, 3, 4, 8, 12, 14], "nanmean": 3, "nanosecond": 13, "nansum": [2, 12], "narctic": 10, "nativ": 8, "natl": 12, "natur": [4, 10, 12], "naturalearth": 12, "nb2": 3, "nc": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 14, 15], "nck": 6, "nckeywords_vocabulari": 4, "nco": 6, "ncol": [4, 5], "ncrefer": 4, "nctime_coverage_start": 3, "ndarrai": [3, 4, 15], "nday_fwi_over_50": 15, "nday_fwi_over_50_anomaly_2022": 15, "nday_fwi_over_50_clim": 15, "ne_110m_coastlin": 12, "near_infrared_hoaps_combin": 4, "near_sfc_t2m_anomaly_july2023": 12, "near_sfc_t2m_global_avg_juli": 12, "near_sfc_t2m_global_avg_july_sorted_barplot": 12, "near_surface_air_temperatur": 8, "necessari": [1, 2, 3], "need": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "neg": [10, 12], "neglig": 8, "nemo": 8, "nest": [2, 3], "net": [3, 6], "netcdf": [0, 1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "netcdf4": [5, 6, 12], "netcdf_legaci": [1, 2, 8, 9, 10, 11, 12, 15], "netcdftim": 8, "never": 11, "nevertheless": 8, "new": [0, 1, 4, 5, 7, 10, 13, 14, 15], "new_date_format": 13, "newli": [1, 4, 10, 11, 12, 13], "next": [0, 2, 3, 4, 5, 8, 9, 10, 11, 12, 13, 14], "nfrance_hourly_sep": 11, "nh": 4, "nice": [3, 5], "night": 5, "nineti": 5, "nir": 4, "ni\u00f1a": [2, 4], "ni\u00f1o": [2, 4], "noaa": 3, "noaa_ncei_hir": 2, "nois": 4, "nomin": 14, "non": [9, 13], "none": [2, 3, 4, 6, 8, 10, 12, 14, 15], "nonesub_experiment_id": 8, "nonetable_id": 8, "norm": 15, "normal": [1, 2, 12, 13, 14, 15], "norrkop": 1, "norrkopinggrib_subcentr": 1, "norrkopinghistori": 1, "north": [0, 1, 3, 4, 11, 13], "northeast": 6, "northeastern": 15, "northern": [2, 3, 4, 11], "northwest": 10, "northwestern": 15, "not_perman": 6, "note": [0, 1, 2, 3, 5, 6, 8, 9, 10, 11, 13, 14, 15], "notebook": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "notic": [1, 4, 10, 12, 13, 15], "nov": [6, 14], "novemb": [3, 4, 5], "now": [1, 2, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14], "np": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "nrow": [4, 5], "ntemperatur": 9, "num_days_tcwv": 4, "num_ob": 4, "num_obsvalid_rang": 4, "number": [2, 3, 4, 5, 8, 11, 12, 13, 14], "number_of_high_dai": 6, "number_of_observationslong_nam": 3, "numcategori": 14, "numdai": 13, "numer": [13, 15], "numericlong_nam": 15, "numericstandard_nam": 15, "numpi": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "nv": 4, "nyear": 10, "nyearli": [2, 10], "o": [2, 3, 4, 6, 8, 9, 10, 11, 12, 13, 14, 15], "o3": 5, "o3plot": 5, "o_hi": 14, "o_lo": 14, "ob": 14, "obj": 2, "object": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14], "object1850": 8, "object1971": 9, "obs_fnam": 14, "observ": [2, 3, 4, 5, 9, 10, 12], "obtain": [1, 2, 3, 4, 5, 6, 8, 10, 11, 12, 14, 15], "oc": 9, "occur": [3, 11], "ocean": [3, 4, 8, 15], "ocnbgchem": 8, "octob": [3, 4, 13], "odd": 15, "offer": [0, 2, 4, 9, 10, 13], "offic": 8, "ok": [3, 4, 14], "olaf": 4, "olci": 4, "older": 14, "olr_norma": 2, "omi": 5, "omiss": 9, "onc": [0, 1, 3, 7, 9, 12, 13, 15], "one": [1, 2, 3, 4, 5, 9, 11, 13, 14, 15], "onli": [0, 3, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "onto": 10, "opac": 3, "open": [0, 1, 2, 3, 4, 6, 10, 11, 12, 14, 15], "open_dataset": [1, 2, 5, 6, 8, 10, 11, 12, 13, 14], "open_mfdataset": [2, 3, 4, 8, 9, 15], "oper": [3, 6, 8, 9, 12, 13], "oppos": [8, 13, 14], "opt": [11, 12, 15], "optimis": 13, "option": [0, 1, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "orang": 12, "orbit": 3, "order": [0, 2, 4, 8, 9, 10, 11, 12, 13, 14], "ordereddict": 13, "ordin": 4, "org": [1, 3, 4, 8, 12], "organ": [10, 12], "organis": [3, 9], "orient": [1, 3, 4, 5, 10, 11, 12, 13], "origin": [0, 1, 2, 3, 6, 8, 10, 12, 13, 14, 15], "origin_label": 14, "originating_centr": [13, 14], "origylim": 14, "orthograph": 10, "oscil": [2, 4], "other": [1, 3, 4, 5, 6, 9, 10, 12, 15], "otherwis": 5, "our": [1, 2, 3, 4, 5, 6, 8, 10, 11, 12, 13, 14, 15], "out": [4, 5, 6, 12, 13, 15], "outgo": [3, 7], "outgoing_longwave_radi": 2, "outlin": [8, 9, 13, 14, 15], "output": [1, 3, 4, 6, 8, 9, 10, 11, 12, 13, 14, 15], "outputcccma_runid": 9, "outputrealization_index": 8, "outsid": 13, "over": [1, 2, 3, 4, 6, 8, 9, 11, 12, 14, 15], "over_colour": 15, "overal": [3, 4, 13], "overview": [0, 2, 3, 4], "overwrit": [0, 12], "own": [2, 3, 4, 5, 7], "owner": 9, "oz": 9, "ozon": 7, "p": 14, "p0": 13, "p100": 13, "p1mgeospatial_lat_unit": 3, "p1mtime_coverage_resolut": [3, 4], "p1mtime_coverage_start": 4, "p2r": 3, "p33": 13, "p66": 13, "pacif": [3, 4], "pack": 13, "packag": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 15], "pad": [1, 2, 3, 4, 6, 9, 10, 12, 13], "page": [0, 2, 3, 6, 13, 14, 15], "panda": [2, 4, 5, 8, 10, 13, 14], "panel": [3, 4, 10, 12], "param": [10, 11, 12], "paramet": [1, 2, 3, 4, 6, 10, 11, 12, 13], "parkinson": 2, "part": [1, 2, 3, 4, 8, 9, 10, 11, 13], "particl": 2, "particular": [1, 2, 4, 5, 6, 8, 9, 10, 11, 12, 15], "particularli": [3, 4, 5, 10], "partly_cloudy_over_land": 4, "partly_sea_ic": 4, "pass": [1, 3, 6, 10, 11, 12, 14], "past": [0, 1, 2, 3, 4, 6, 7, 9, 10, 11, 12, 13, 14, 15], "pastexperiment_id": 8, "patch5": 3, "path": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "pathlib": [8, 9], "pathnam": 2, "pathwai": 9, "patient": 7, "pattern": [2, 3, 4], "pcmdi": 8, "pcolorkwarg": 6, "pcolormesh": [1, 2, 3, 4, 5, 6, 9, 10, 12, 13], "pd": [2, 4, 5, 8, 13, 14], "peak_to_peak_tcwv_clim": 4, "per": [0, 1, 5, 10, 13, 15], "percentil": [13, 15], "perfect": 9, "perfectli": 13, "perform": [5, 8, 9, 12, 14, 15], "period": [1, 2, 4, 5, 8, 11, 13, 14, 15], "permit": 8, "persist": 2, "person": [0, 1, 6, 8, 9, 10, 11, 12, 13, 14, 15], "perturb": 2, "phase": [4, 8], "philosophi": 4, "physic": 4, "pi": 2, "pick": 15, "picontrolparent_mip_era": 8, "piec": 8, "pinatubo": 2, "pip": [0, 1, 2, 3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15], "pixel": [5, 6], "pixelunit": 6, "place": [3, 4, 12], "placement": 5, "platecarre": [1, 2, 3, 4, 5, 6, 9, 10, 12, 13, 14, 15], "platform": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 15], "platform_vocabulari": 4, "pleas": [0, 2, 3, 4, 5, 7, 8, 9, 12, 13, 14, 15], "plot": [1, 5, 6, 9, 11], "plot_data": 6, "plot_leadt": 13, "plot_map": 6, "plotsdir": 14, "plt": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "plu": 11, "plugin": 15, "png": [1, 2, 3, 4, 8, 9, 10, 11, 12, 13, 14], "poe": 3, "point": [6, 8, 9, 10, 11, 12, 13, 14, 15], "polar": [2, 3, 4], "pole": [2, 3, 5, 9], "polycollect": 12, "popul": 6, "popular": 14, "portal": [0, 15], "posit": [4, 5, 10, 12], "possibl": [3, 6, 8, 10, 13, 14, 15], "potenti": [4, 12, 13, 15], "power": [4, 10], "pps2018": 3, "practic": [0, 2, 5, 7, 8, 9, 13, 14], "prais": 3, "pre": 8, "preced": [11, 15], "precipit": [4, 14, 15], "precomput": 13, "predefin": 6, "predict": [13, 14], "preliminari": 12, "prepar": [1, 4, 5, 6, 9, 10, 11, 12, 14, 15], "presenc": [8, 14], "present": [2, 3, 4, 5, 7, 10, 11, 12, 14], "press": 2, "pressur": 14, "presum": 8, "prettifi": 12, "previou": [2, 3, 4, 5, 10, 12, 13, 14], "previous": 13, "primarili": 8, "primem": 4, "principl": [0, 1], "print": [6, 8, 11, 12, 14, 15], "prior": [10, 11], "privaci": 9, "prob": 14, "probabl": 11, "probh": 14, "problem": [9, 12], "probo": 14, "probs_hcst": 14, "proced": 4, "process": [2, 3, 4, 7, 8, 9, 10, 11, 12, 13], "processing_level": 5, "produc": [2, 3, 4, 6, 8, 10, 11, 14], "produce_map_plot": 15, "product": [0, 1, 2, 3, 4, 6, 9, 10, 11, 12, 13, 15], "product_class": 3, "product_famili": 3, "product_typ": [6, 10, 11, 12, 13, 14, 15], "profil": [5, 12], "program": [0, 1, 4, 6, 7, 10, 11, 12, 14, 15], "programat": 7, "programm": 2, "programmat": [1, 2, 6, 10, 11, 12, 14, 15], "proj": 5, "project": [0, 1, 2, 3, 4, 6, 10, 11, 12, 13, 14, 15], "projecthistori": 4, "projectinstitut": 9, "projectionaxi": 4, "projectioncom": 4, "pronounc": 9, "proper": 8, "properti": [3, 9], "proport": 14, "provid": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 13, 14, 15], "proxi": [4, 8, 10, 11, 12], "public": [3, 4], "publicli": 9, "publish": 9, "publisher_email": 4, "publisher_nam": 4, "publisher_url": 4, "pubu": 6, "pug": 4, "purpl": [6, 14], "purpos": [2, 5, 6, 8, 9, 14], "put": 13, "py": [2, 4, 11, 12, 15], "pydata": 8, "pylab": 2, "pyplot": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "python": [0, 1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14], "python3": [6, 15], "q": [3, 4, 6, 10, 15], "quadmesh": [4, 10, 12], "qualiti": [2, 4, 8, 10], "quantif": [2, 3], "quantil": [6, 11, 13, 14, 15], "queri": [1, 4, 10, 11, 12], "question": 11, "queu": [9, 11, 12], "queue": 8, "quick": 12, "quicker": 1, "quit": 3, "quot": [1, 3, 4, 6, 9, 13], "r": [2, 3, 4, 5, 6, 8, 9, 15], "r1i1p1": 9, "r1i1p1driving_model_id": 9, "r1i1p1f1physics_index": 8, "r1i1p1f3": 8, "r1i1p1f3grid": 8, "r1i1p1f3licens": 8, "r1i1p1forc": 9, "r2project_id": 9, "radi": [2, 3], "radian": 12, "radianc": 5, "radiat": [4, 5, 7, 13], "radiationunit": 3, "radiomet": 4, "radiometercmsaf_parameter_id": 3, "rainfal": 4, "rais": 14, "ram": 14, "random": 4, "rang": [1, 2, 3, 4, 5, 6, 8, 10, 11, 12, 13, 14, 15], "rank": 12, "rare": 12, "rate": [2, 6, 9, 11, 12, 14], "rategrib_shortnam": 13, "rateunit": 13, "rather": 8, "rc": 14, "rcm": 9, "rcm2nc": 9, "rcm2ncdata_lic": 9, "rcm_model": 9, "rcp": 9, "rcp2": 9, "rcp8": 9, "rcp_4_5": 9, "rcparam": 10, "rdbr_r": 12, "rdbu_r": [10, 12], "rdylbu_r": [3, 14], "re": [2, 6, 10, 13, 14, 15], "reach": [3, 4, 11], "read": [1, 2, 3, 4, 8, 9, 10, 11, 12], "readabl": 3, "reader": 5, "readi": [2, 3], "real": [4, 12, 13, 14], "realizationarrai": 13, "reanalysi": [0, 9, 10, 12, 14, 15], "reason": [2, 8, 9, 10], "receiv": [2, 3, 4, 14], "recent": [3, 8, 12], "rechunk": 15, "recognis": 4, "recommend": [0, 3, 4, 8, 10, 12], "record": [2, 3, 4, 5, 7, 8, 10, 11, 15], "record_statu": [3, 4], "rectifi": 9, "recurs": [2, 4], "red": [6, 8, 10, 12, 15], "red_upstream_area": 6, "redirect": 0, "reduc": [2, 3, 4, 12], "redundantli": 11, "ref": 10, "ref_mean": 10, "refenc": 15, "refer": [4, 5, 6, 8, 13, 14, 15], "reference_datum": 4, "reference_period": 14, "refin": 8, "reflect": [2, 3, 15], "reforecast": 14, "refresh": 0, "regard": 9, "region": [1, 2, 3, 4, 5, 6, 9, 10, 11, 12], "regist": [0, 1, 3, 4, 5, 6, 8, 10, 11, 12, 15], "registr": [0, 7], "regrid": 14, "regular": [0, 14], "regular_l": 13, "regular_llgrib_nv": [6, 13], "regular_llgrib_uvrelativetogrid": 15, "reinstal": 6, "rel": [2, 4, 5, 6, 9, 13, 15], "relat": [2, 4, 13], "relative_anomaly_2003": 3, "relativedelta": [13, 14], "releas": [2, 6, 12], "relev": [3, 13, 14], "reliabl": 8, "remain": [5, 13], "remot": 5, "remov": [2, 4, 9, 12, 13, 14, 15], "renam": 14, "reorganis": 13, "repeat": [8, 9, 10, 15], "replac": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "report": [4, 15], "repres": [1, 4, 5, 6, 8, 9, 11, 13, 15], "reproduc": 13, "reproject": [0, 10], "request": [1, 2, 3, 4, 5, 6, 10, 11, 12, 15], "requir": [1, 2, 6, 7, 8, 9, 10, 11, 12, 14, 15], "rerun": 12, "resampl": [10, 11, 15], "research": [3, 6, 15], "reset_index": 13, "reshap": 4, "residu": 4, "resolut": [1, 2, 3, 4, 5, 8, 9, 10, 13], "resourc": [2, 9, 11, 12, 14], "respect": [3, 4, 8, 10, 12, 13, 15], "respons": [1, 2, 6, 9, 15], "rest": 12, "result": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], "retriev": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 15], "retrospect": [13, 14], "return": [5, 10, 12, 13, 14], "reveal": [1, 2, 4, 6, 10, 11, 12, 13, 15], "revers": [3, 12, 14], "review": 2, "revisit": 13, "rewrot": 8, "rf": 14, "rich": 13, "richard": 1, "right": [1, 2, 3, 4, 5, 9, 10, 11, 12, 14, 15], "right_label": [2, 9], "rise": [3, 10], "risen": 2, "river_discharge_in_the_last_24_hour": 6, "rlat": 9, "rlon": 9, "road": 8, "robinson": 15, "rocss": 14, "role": [4, 14], "roll": 14, "rotat": [2, 5, 9, 12], "rotated_latitude_longitudegrid_north_pole_longitud": 9, "rotated_pol": 9, "rotated_polecell_method": 9, "rotation_mod": 2, "roughli": 3, "round": 6, "routin": 5, "row": [4, 10, 13], "ruedi": 2, "run": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 13, 15], "runtim": 6, "runtimewarn": 6, "russia": 8, "s1": 9, "s1b": 9, "s3": 12, "s35": 14, "sa": [1, 9], "saf": 4, "safe": 14, "sahara": 3, "sake": [8, 9], "sale": [3, 9], "same": [1, 3, 4, 5, 8, 9, 10, 12, 13, 14], "sampl": [5, 8, 11], "satellit": [2, 3, 4, 5], "satisfi": [1, 10, 11], "sato": 2, "save": [2, 3, 4, 8, 9, 10, 12, 13, 14, 15], "save_merged_netcdf": 4, "savefig": [1, 2, 3, 4, 8, 9, 10, 11, 12, 13, 14, 15], "scalar": 8, "scale": [5, 15], "scan": 4, "scatter": 6, "scenario": 8, "scene": 14, "scienc": 4, "scientif": [1, 9, 10, 11, 12, 14], "scientifc": 4, "scoredir": 14, "scratch": 3, "script": 0, "scroll": [8, 9, 13, 14], "sd": [4, 10], "sea": [4, 14], "sea_ic": 4, "sea_surface_temperatur": 12, "seaic": 8, "search": [0, 7, 8, 9], "seas5": [13, 14], "seas5_anomalies_202105": 13, "seas5_anomalies_202105_tp": 13, "seas5_anomalies_3m_202105": 13, "seas5_anomalies_3m_202105_em": 13, "seas5_anomalies_3m_202105_em_tp": 13, "seas5_forecast": 13, "seas5_forecast_3m": 13, "seas5_sasia": 13, "season": [3, 5], "season_list": 10, "seasonal_decompos": 4, "seasonalis": 4, "seasonpandasindexpandasindex": 4, "second": [0, 2, 3, 4, 5, 8, 9, 10, 12, 13], "section": [0, 2, 3, 4, 5, 8, 9, 10, 11, 12, 13, 14, 15], "see": [0, 1, 2, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14], "seek": 11, "seem": 10, "seen": 5, "sel": [2, 3, 4, 6, 10, 11, 12, 13, 14, 15], "select": [1, 2, 3, 4, 6, 7, 8, 10, 11, 12, 13, 14, 15], "self": 0, "sellonlatbox": 6, "send": [2, 9, 11, 12, 14], "sensor": [4, 5], "sep": 11, "sep_1979": 11, "separ": [8, 9, 13, 15], "seper": [5, 8, 9], "septemb": [3, 4, 5, 15], "sequenti": 8, "serbia": 3, "seri": [6, 11, 13], "seriou": 12, "serv": 6, "servic": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "servlet": 15, "session": [3, 4, 5], "set": [1, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "set_aspect": 4, "set_ext": [1, 3, 5, 6, 9, 10, 13, 15], "set_facecolor": 12, "set_frame_on": 15, "set_index": 13, "set_label": [1, 3, 4, 5, 6, 9, 10, 12, 13, 15], "set_major_formatt": 4, "set_ov": 15, "set_titl": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13], "set_und": [14, 15], "set_vis": 15, "set_xlabel": [4, 5, 8, 10, 11, 12, 13, 15], "set_xlim": [8, 10, 11], "set_xtick": [4, 11, 12], "set_ylabel": [4, 5, 8, 10, 11, 12, 13, 14, 15], "set_ylim": [10, 11, 12, 14], "set_ytick": 4, "seven": 11, "sever": [2, 3, 6, 11, 12, 13, 14, 15], "sf": 6, "sfogrib_numberofpoint": 6, "shade": [5, 15], "shall": [10, 12, 13], "shape": [3, 4, 6, 10, 12, 13, 14, 15], "share": 9, "sharealik": 8, "shell": [1, 3, 6, 10, 11], "shift": [2, 10, 14], "short": [2, 3, 4], "shortcut": 3, "shortwav": [2, 5], "should": [2, 3, 5, 8, 10, 11, 12, 13, 14, 15], "show": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "shown": [1, 3, 4, 12, 13, 14, 15], "shrink": [14, 15], "si": [10, 12], "si10": 1, "si10grib_griddefinitiondescript": 1, "sign": 12, "signatur": 5, "signific": [3, 5, 13, 14], "significantli": 2, "similar": [1, 5, 12, 13, 15], "similarli": 14, "simpl": [1, 4, 6, 10, 11, 12], "simplefilt": 6, "simpli": [1, 2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 15], "simplic": [8, 9], "simplifi": 3, "simul": [8, 9], "sinc": [1, 3, 4, 6, 8, 9, 10, 11, 12, 13], "singl": [1, 4, 5, 8, 9, 10, 11, 12, 13, 14], "single_level": 8, "sis_dm": 3, "sis_nob": 3, "sis_r3_clara_3_tcdrlevel1_intercalibr": 3, "sis_stdv": 3, "siscl": 3, "siscls_dm": 3, "siscmsaf_gac_parameter_id": 3, "sismm": 3, "sismm19790101000000319avpos01gl": 3, "sismm_anomaly2003": 3, "sismm_mean": 3, "site": [1, 10, 11, 12, 15], "six": [9, 13], "size": [3, 4, 5, 8, 10, 11, 12, 13, 14, 15], "skill": 14, "skip": 3, "skipna": 5, "sky": 3, "slice": [2, 3, 4, 6, 10, 12, 15], "slight": 4, "slightli": 13, "slower": 1, "small": [2, 8, 15], "smaller": [5, 8], "snippet": 14, "so": [1, 2, 3, 4, 6, 7, 8, 12, 13, 14, 15], "softwar": [2, 3, 4, 5], "solar": [4, 5], "solut": 12, "some": [1, 2, 3, 4, 5, 6, 7, 8, 9, 12, 13, 14, 15], "someth": 12, "son": 4, "soon": 0, "sort": [2, 4, 5, 12], "sortbi": [10, 12, 13, 14, 15], "sounder": 2, "sourc": [1, 2, 3, 4, 6, 10, 11, 12, 13, 15], "source_id": 8, "south": [0, 3, 4, 5, 11, 13], "southeastern": 15, "southern": [2, 3, 4, 5], "southpolarstereo": 5, "southwestern": 15, "space": [3, 4, 5, 13, 14], "spain": 3, "span": 4, "spars": 5, "spatial": [0, 2, 3, 5, 6, 9, 12], "spatial_resolut": 4, "speak": 5, "spearman": 14, "spearman_r": 14, "spearman_r_p_valu": 14, "special": [3, 4, 9], "specif": [0, 1, 2, 3, 4, 6, 7, 8, 9, 12, 13, 14], "specifi": [0, 1, 2, 3, 4, 6, 8, 10, 11, 12, 13, 14, 15], "spectral": 4, "spectro": 4, "spectromet": 4, "spectrum": [2, 4], "speed": [1, 15], "speedgrib_shortnam": 1, "speedunit": 1, "spheroid": 4, "split": [2, 3, 4, 10, 13, 14], "spread": [4, 8, 15], "spring": [3, 4, 5, 10], "spsv3": 14, "sqrt": 1, "squar": [9, 13], "squeez": 12, "srb": 3, "ssm": 4, "ssmi": 4, "ssp": 8, "ssp1": 8, "ssp126": 8, "ssp2": 8, "ssp245": 8, "ssp5": 8, "ssp585": 8, "sst": 14, "sst_": 12, "sst_d": 12, "sst_expver": 12, "sst_mask": 12, "sst_northatlantic_avg": 12, "sst_t": 12, "sst_weight": 12, "st_dim_nam": 14, "stabil": [2, 8], "stabl": [3, 8, 12], "stack": [4, 15], "stage": 14, "stai": 2, "stand": [4, 10, 11, 12], "standard": [1, 3, 4, 8, 9], "standard_deviationmissing_data": 3, "standard_nam": [1, 3, 4, 6, 8, 9, 13, 15], "standard_name_vocabulari": 3, "standardbranch_time_in_child": 8, "start": [2, 3, 4, 10, 12, 13, 14, 15], "start_dat": 14, "start_month": 14, "start_year": 9, "stash": 8, "state": [1, 5, 10, 12, 13, 14], "statement": 8, "statisit": 6, "statist": [6, 13, 14], "statsmodel": 4, "statu": [0, 3, 4, 5, 10], "status_flag": 4, "statuscom": 4, "std": [4, 10, 14], "stdv": 4, "steadili": 8, "step": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 14, 15], "stick": 12, "still": 11, "stippl": 14, "stmonth": 14, "storag": 3, "store": [1, 2, 3, 4, 6, 8, 9, 10, 11, 12, 13, 14, 15], "str": [8, 11, 12, 13], "stratospher": [2, 5], "strftime": [2, 5, 13], "strike": 15, "string": [1, 2, 6, 8, 10, 11, 12, 14, 15], "strip": 8, "stripi": 5, "strong": 4, "strongest": 4, "strongli": 2, "strptime": [5, 15], "structur": [4, 5, 6, 9, 13, 15], "student": 3, "studi": [3, 4, 5], "style": [2, 3, 12, 13, 15], "sub": [6, 12, 13, 15], "sublibrari": 4, "subplot": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 15], "subplot_kw": [1, 4, 5, 6, 10, 12, 13], "subplots_adjust": [4, 5, 13], "subsect": [2, 13], "subsequ": [2, 4, 5, 8], "subset": [0, 1, 4, 9, 10, 11, 14, 15], "subtitl": 4, "subtract": [3, 8, 9, 10, 12, 13, 15], "subtrop": 3, "success": [2, 3, 4, 5, 10], "successfulli": [3, 8], "successor": 3, "suffer": 15, "suffix": 12, "suggest": [2, 3, 4, 5, 7, 8], "suit": 7, "suitabl": 5, "sum": [2, 3, 5, 6, 12, 13, 14], "summari": 3, "summaris": 13, "summer": [4, 5, 10, 15], "summissing_data": 3, "sun": [2, 3], "sunlight": 5, "suppli": 8, "support": [9, 10], "suptitl": [4, 5, 10, 13], "sure": [0, 3, 15], "surfac": [1, 2, 4, 6, 7, 8, 9, 13, 14, 15], "surface_downwelling_shortwave_flux": 3, "surface_downwelling_shortwave_flux_assuming_clear_skylong_nam": 3, "surface_downwelling_shortwave_fluxlong_nam": 3, "surface_downwelling_shortwave_fluxunit": 3, "surface_type_flag": 4, "surfacegrib_stepunit": [6, 13, 15], "surfaceunit": 1, "swap_dim": 14, "switch": 7, "syntax": 13, "system": [0, 1, 2, 4, 5, 6, 10, 12, 13, 14, 15], "system_vers": [6, 15], "systemat": 13, "t": [1, 2, 3, 6, 12, 14], "t23": 9, "t2m": [1, 10, 11, 12, 14], "t2m_2016": 10, "t2m_c": 11, "t2m_c_weight": 11, "t2m_clim": 12, "t2m_global": 12, "t2m_global_july_1940": 12, "t2m_global_ref_p": 12, "t2m_global_sort": 12, "t2m_july2023": 12, "t2m_ref_per": 12, "ta": [8, 9], "tab": [0, 1, 2, 3, 4, 5, 10, 11, 12], "tabl": [3, 4, 11, 12], "tailor": 7, "take": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15], "taken": [8, 13, 14], "tam": 8, "tape": 1, "tar": 9, "target": 6, "tas_1971": 9, "tas_1971_2000_climatologi": 9, "tas_1971_2000_climatology_degc": 9, "tas_1971_2000_histor": 9, "tas_2071_2100_climatologi": 9, "tas_2071_2100_climatology_degc": 9, "tas_2071_2100_project": 9, "tas_amon_hadgem3": 8, "tas_difference_climatologi": 9, "task": 8, "tasvariant_label": 8, "tbound": [4, 9], "tcdr": 3, "tcwv_clim": 4, "tcwv_clim_max": 4, "tcwv_clim_min": 4, "tcwv_clim_month": 4, "tcwv_clim_month_mean": 4, "tcwv_clim_month_std": 4, "tcwv_combi": 4, "tcwv_combi_weight": 4, "tcwv_err": 4, "tcwv_mean": 4, "tcwv_ran": 4, "tcwv_seasonal_climatologi": 4, "tcwv_seasonal_decomposit": 4, "tcwv_weighted_mean": 4, "tcwv_weighted_mean_seri": 4, "tcwv_zonal_clim_month": 4, "tcwvplatform": 4, "tcwvplatform_vocabulari": 4, "team": 12, "technic": [5, 6, 9], "techniqu": 5, "tell": 8, "temp": [9, 10, 11], "temperatur": [1, 2, 4, 5, 9, 14, 15], "temperaturecom": 8, "temperaturestandard_nam": 9, "temperatureunit": 8, "temperaturexarrai": [10, 12], "tempor": [0, 1, 4, 5, 9, 10, 11, 12, 14], "temporal_aggreg": 4, "temporal_resolut": [8, 9], "temporari": 12, "tercile_prob": 14, "term": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "termin": 0, "termsofus": 8, "test": [9, 13], "text": [0, 2, 3, 4, 6], "textit": 1, "than": [1, 2, 3, 4, 6, 8, 10, 12, 14, 15], "thei": [2, 3, 4, 6, 7, 8, 12, 13, 14, 15], "them": [1, 3, 4, 7, 8, 13, 14], "themat": 3, "thematic_climate_data_record": 3, "theoret": 4, "therebi": 3, "therefor": [5, 6, 9, 13, 14], "thermal": 2, "thi": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 15], "thick": 12, "thin": 12, "thing": [12, 15], "this_fcmonth": 14, "thisb": 14, "thiscorr": 14, "thiscorrpv": 14, "thishcst": 14, "thishcst_em": 14, "thishcstcat": 14, "thiso": 14, "thisob": 14, "thisobscat": 14, "thisroc": 14, "thisrocss": 14, "thisrp": 14, "thisvt": 13, "thorough": 6, "those": [1, 8, 12, 13, 14], "three": [0, 2, 4, 8, 9, 10, 11, 12, 13], "threshold": 15, "through": [0, 2, 4, 7, 8, 10, 11, 13, 14], "throughout": [3, 6, 14, 15], "thu": [3, 5, 13], "tick": [2, 4, 5, 15], "tick_param": [10, 15], "ticker": 4, "tiff": 15, "tight": 2, "tight_layout": [10, 12, 14, 15], "till": [3, 5], "time": [0, 1, 3, 6, 7, 9, 11, 14, 15], "time_aggreg": 3, "time_bnd": [3, 4, 8, 9], "time_bndsarrai": [4, 9], "time_bndsaxi": 8, "time_bndslong_nam": 3, "time_coverage_start": 5, "time_dim": [13, 14], "timearrai": [1, 3, 8, 10, 11, 12, 13], "timeaxi": [4, 9], "timebound": 3, "timedelta64": [1, 6, 13], "timelong_nam": [1, 6, 13], "timepandasindexpandasindex": [3, 4, 6, 10, 12], "timestamp": [3, 4, 13], "timestandard_nam": [8, 9], "tirosn": 3, "tit_line1": 14, "tit_line2": 14, "tit_line2_bas": 14, "titl": [2, 3, 4, 5, 6, 8, 9, 10, 12, 13, 15], "titles": 14, "tlong_nam": 8, "tmi": 4, "tmp": [1, 11, 12], "tmp_5": 6, "tmp_uparea": 6, "to_datafram": [4, 10, 13], "to_datetim": [2, 13, 14], "to_masked_arrai": 2, "to_netcdf": [2, 4, 8, 14], "to_numpi": 5, "toa": 2, "togeth": [1, 3, 8, 9, 10, 11, 12, 13, 14], "tolist": 6, "tomato": 12, "tool": 6, "toolbox": 0, "top": [2, 3, 4, 5, 7, 8, 10], "top_label": [2, 3, 9], "topic": 7, "topographi": 15, "total": [6, 7, 14], "total_column": 5, "total_ozone_column": 5, "total_precipit": 13, "totalprecanomalyforecastsasia": 13, "totalprecforecasthindcastanomaliessasia": 13, "toward": [2, 3], "tp": 14, "tp_color": 13, "tp_level": 13, "tprate": 13, "tprate_hindcast": 13, "tprate_hindcast_mean": 13, "tprate_hindcast_sasia": 13, "tprategrib_griddefinitiondescript": 13, "tprategrib_totalnumb": 13, "tqdm": [1, 10, 11], "tracking_id": [8, 9], "trade": 3, "train": [2, 3, 4, 5], "transax": 2, "transfer": 9, "transform": [2, 3, 4, 5, 9, 10, 12, 15], "transit": 4, "transport": 5, "transpos": [4, 14], "treat": [8, 12], "trend": [5, 10], "tri": 13, "tripolar": 8, "trmm": 4, "tropic": [2, 3, 4, 5, 8], "true": [1, 2, 3, 4, 5, 6, 8, 9, 10, 12, 13, 14, 15], "truth": 14, "try": [8, 12], "tsa": 4, "turkei": 3, "tutori": [1, 2, 3, 4, 5, 6, 8, 9, 11, 13, 15], "twc": 1, "twc_mean": 1, "twc_mean_sub": 1, "twelv": 4, "twice": 1, "two": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 14, 15], "ty": 15, "tymean": 15, "type": [0, 1, 2, 3, 4, 6, 10, 11, 12, 13, 14, 15], "typic": [5, 9, 10, 11, 12], "u": [1, 2, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "u_vers": 6, "ua": 8, "uerra": 1, "uerra_harmoni": 1, "uerra_t2m": 1, "uerra_wind_chill_index_midjan": 1, "uerra_ws10m": 1, "uk": 8, "ukca": 8, "ukesm": 8, "ukesm1": 8, "ukesm1_0_l": 8, "ukinstitution_id": 8, "unarchiv": 6, "unavail": 5, "uncertaintyunit": 4, "uncom": [3, 4, 5, 9, 12], "unconvert": 10, "uncorrel": 4, "under": [0, 1, 2, 3, 4, 8, 9, 13], "under_colour": 15, "understand": [10, 13, 15], "unexpect": 14, "unidata": 3, "uniform": 2, "unit": [1, 4, 5, 6, 8, 9, 11, 13, 15], "univers": 2, "unix": 2, "unknown": [1, 6, 13, 14, 15], "unknownarrai": 6, "unknowngrib_cfvarnam": [1, 6, 13, 15], "unknownxarrai": [1, 13, 15], "unpack": 4, "unrestrict": 9, "unstack": 13, "untar": 9, "until": [5, 6, 8, 10, 12], "unusu": 3, "unzip": [2, 3, 4, 5], "up": [1, 6, 8, 9, 10, 11, 12, 13, 14, 15], "up_lat": 6, "up_lon": 6, "uparea": 6, "uparea_glofas_v4_0": 6, "uparea_repair": 6, "uparea_v4_0": 6, "uparea_v4_0_l": 6, "uparea_v4_0_md": 6, "uparea_v4_0_st": 6, "updat": [0, 3, 4, 5, 6, 10, 12, 13, 15], "upgrad": [3, 4, 5], "uplong_nam": 8, "upper": [6, 8, 12, 14, 15], "upsilon": 1, "upstandard_nam": 1, "upstream_area": 6, "upstream_area_fil": 6, "upstream_area_fnam": 6, "upstream_data_url": 6, "upunit": 9, "url": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "urllib": 2, "urllib3": [1, 2, 3, 4, 6, 8, 9, 10, 11, 12, 13], "us": [1, 5, 6, 8, 9, 13, 15], "usabl": 5, "usag": [3, 4], "usecas": 3, "user": [1, 3, 4, 6, 7, 8, 10, 11, 12, 15], "usercach": 4, "userwarn": [11, 15], "usual": [3, 8], "uuid": 12, "uv": 5, "v": [1, 6], "v001": 4, "v001naming_author": 4, "v001tracking_id": 4, "v003": 3, "v003creator_nam": 3, "v003product_class": 3, "v003sourc": 3, "v02r07": 2, "v1": [3, 5, 8, 15], "v2": [0, 2, 4, 6, 8, 9, 11, 12, 14], "v2000": 5, "v67": 4, "v70": 3, "va": 2, "valid": [1, 4, 6, 12, 13, 14], "valid_rang": 4, "valid_tim": [1, 6, 13, 14, 15], "validmonth": 14, "valu": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "vanish": 5, "vapor": 4, "vapour": 7, "vapourunit": 4, "var": [2, 14], "vari": [5, 6, 8, 10, 11, 12], "variabl": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 15], "variable_id": [4, 8], "variant_label": 8, "variat": [2, 4, 5, 10, 12], "varieti": 7, "variou": [1, 3, 4, 6, 7, 8, 10, 11, 12, 14, 15], "varnam": 14, "vdiv": 4, "veget": 15, "veri": [3, 4, 5, 6, 8, 10, 12, 15], "verif": 7, "version": [0, 1, 2, 3, 4, 5, 6, 10, 12, 15], "version_4_0": 6, "vertic": [1, 2, 4, 5, 6, 13], "vertical_aggreg": 5, "via": [1, 2, 3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15], "victoria": 9, "video": 2, "view": [0, 2, 5, 9, 13, 14], "viridi": 5, "visibl": 4, "visit": [1, 2, 3, 4, 6, 8, 10, 11, 12, 15], "visual": [2, 3, 4, 5, 10, 11], "visualis": [1, 2, 3, 4, 6, 7, 8, 9, 11, 14], "visualize_pcolormesh": 10, "vl": 9, "vm": 14, "vmax": [3, 4, 5, 6, 10, 12, 13], "vmin": [3, 4, 5, 6, 10, 12, 13], "void": [3, 4], "volcan": 2, "volum": 8, "vs_scalar": 6, "vs_scalargdal_area_or_point": 6, "vt": [13, 14], "vts_name": 13, "w": [0, 1, 2, 3, 6, 13, 15], "w26": 15, "w_clim_max": 15, "w_clim_mean": 15, "w_clim_min": 15, "w_clim_q10": 15, "w_clim_q90": 15, "w_ty_mean": 15, "wa": [2, 3, 4, 5, 6, 8, 10, 11, 12, 13, 14], "wai": [0, 1, 2, 4, 5, 8, 9, 10, 11, 12, 13, 14], "want": [0, 2, 3, 4, 5, 9, 10, 12, 13, 15], "warm": [3, 4, 10], "warmer": [10, 12], "warn": [1, 2, 3, 4, 5, 6, 8, 10, 11, 12, 13, 14, 15], "warnung": 3, "warrant": 9, "warranti": [8, 9], "water": 7, "water_vapour_cci": 4, "waterid": 4, "waterunit": 4, "watervapour": 4, "watervapourcreator_email": 4, "wave": [3, 4], "wb": 6, "wc": 1, "we": [0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 13, 14, 15], "weather": [6, 7, 13], "webbrows": 12, "webpag": 5, "websit": [1, 2, 3, 4, 7, 10, 11, 12, 13], "wed": 6, "week": 15, "weekly_clim": 15, "weekly_ti": 15, "weight": [4, 8, 10, 11, 12, 13], "weight_norm": 2, "welcom": [2, 9, 11, 12, 14], "well": [0, 2, 3, 4, 12, 13, 14], "were": [3, 4, 8, 10, 11, 12, 15], "west": [0, 4, 11, 13], "western": [3, 4, 11], "wettest": 4, "wgs84": 4, "what": [1, 2, 4, 10, 11, 12, 14], "when": [0, 5, 6, 8, 9, 10, 11, 12, 13, 15], "where": [1, 2, 3, 4, 5, 6, 9, 10, 12, 13, 14, 15], "whether": 10, "which": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "while": [1, 2, 3, 4, 5, 8, 9, 10, 11, 12, 13, 14], "white": [12, 13, 15], "whole": [2, 3, 4, 6, 9, 12, 13], "whose": 14, "why": [2, 8, 12], "wide": [2, 3, 7, 10, 12], "wider": 11, "widget": 13, "width": 13, "wikimedia": 1, "wildfir": 15, "wind": [3, 15], "windchil": 7, "window": [0, 2], "winemak": 3, "winter": [3, 4, 10], "wish": [0, 3, 4, 10], "within": [4, 5, 8, 9, 14], "without": [1, 3, 4, 7, 8, 9, 10, 12], "wmo": [10, 12, 14], "word": [3, 4], "work": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15], "workflow": [0, 7, 8, 9, 10, 13], "world": [5, 10, 12], "worst": 8, "would": [0, 2, 4, 6, 7, 8, 10, 11, 12, 13, 14], "wrapper": 5, "write": [6, 14], "writefil": 0, "written": [3, 4], "wspace": [4, 5, 13], "wv": 4, "wv_cci": 4, "www": [3, 4, 9], "x": [0, 1, 2, 3, 4, 5, 8, 9, 10, 11, 12, 13, 14, 15], "x0": [3, 13], "x1": [5, 13], "x27": [1, 3, 4, 6, 8, 9, 10, 11, 12, 13, 15], "xarrai": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], "xaxi": 4, "xbound": [3, 4], "xdate": 15, "xdf": 2, "xdf_arctic_mean_rol": 2, "xdf_m": 2, "xdf_mean_rol": 2, "xlabel": [2, 4, 5, 6, 10, 12], "xlim": 15, "xlong_nam": 8, "xmax": [12, 15], "xmin": [12, 15], "xpo": 12, "xr": [1, 2, 3, 4, 6, 8, 9, 10, 11, 12, 13, 15], "xrd": 14, "xrds_hi": 14, "xrds_lo": 14, "xskillscor": 14, "xstandard_nam": 9, "xtick": 2, "xy": 11, "y": [1, 2, 3, 4, 5, 8, 10, 12, 13, 15], "y0": 13, "y1": 13, "y10": 15, "y90": 15, "yarn": 4, "yarrai": 6, "yaxi": 4, "ybound": [3, 4], "year": [0, 1, 2, 4, 8, 9, 10, 11, 12, 14, 15], "year_max_tcwv": 4, "year_min_tcwv": 4, "year_tcwv_clim_max": 4, "year_tcwv_clim_min": 4, "yearli": [2, 5, 8, 10], "yearly_mean": 10, "yearpandasindexpandasindex": 15, "yellow": 2, "yet": [0, 2, 3], "yield": 3, "ylabel": [2, 5, 6, 10], "ylgn": 14, "ylgn_r": 14, "ylim": [14, 15], "ylong_nam": 8, "ylorrd": 2, "ymax": 15, "ymean": 15, "ymin": 15, "you": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "your": [0, 2, 3, 4, 5, 7, 8, 9, 13, 14], "ystandard_nam": 9, "ytick": 10, "yy": 14, "yyyi": [13, 15], "zarrai": 9, "zenith": 4, "zero": [11, 12], "zip": [2, 3, 4, 5, 8, 9, 11, 12, 13], "zip_ref": [2, 3, 4, 5, 8, 9], "zipfil": [2, 3, 4, 5, 8, 9], "zonal": 1, "zone": 4, "zorder": [2, 6, 15], "zposit": 8, "\u00b9": 6, "\u00bac": 12}, "titles": ["Climate Data Store Tutorial", "Wind Chill Index with Reanalysis Data", "Calculation of global distribution and timeseries of Outgoing Longwave Radiation (OLR) using NOAA/NCEI HIRS data", "Calculation of global climatology and relative anomalies of Surface Radiation Budget from EUMETSAT\u2019s CM SAF CLARA-A3 dataset", "Exploring Total Column Water Vapour information in the COMBI dataset", "Exploring an ozone product available through the Climate Data Store (CDS)", "Observing major flood events with GLOFAS", "Copernicus Climate Change Service (C3S) Data Tutorials", "Plot an Ensemble of CMIP6 Climate Projections", "Analysis of Projected versus Historical Climatology with CORDEX Data", "Tutorial on Climatologies using Climate Data from C3S", "Analysis of September 2020 European Heatwave using ERA5 Climate Reanalysis Data from C3S", "Tutorial on July 2023 record-breaking global surface temperatures using climate data from C3S", "Seasonal Forecast Anomalies", "Seasonal Forecast Verification", "Visualising the Fire Weather Index (FWI) for the European State of the Climate (ESOTC) assessment"], "titleterms": {"": 3, "1": [2, 3, 10, 12, 13, 14, 15], "10": 6, "180": [2, 10], "1850": 8, "1950": 0, "1971": 9, "1991": [12, 15], "1a": 14, "1b": 14, "2": [2, 3, 10, 12, 13, 14, 15], "2000": 9, "2003": 3, "2020": [11, 12, 15], "2021": [5, 13], "2022": [6, 15], "2023": 12, "2071": 9, "2100": [8, 9], "2a": 14, "2b": 14, "2m": 11, "3": [2, 10, 12, 13, 14, 15], "3a": 14, "3b": 14, "3c": 14, "4": [10, 12, 13, 14], "4a": 14, "4b": 14, "4c": 14, "5": [9, 10, 12, 13], "50": 15, "90th": 6, "In": 12, "The": [3, 5], "a3": 3, "about": [0, 1, 2, 3, 6, 8, 9, 10, 12, 13, 14], "abov": 5, "access": [0, 2, 6], "accumul": 13, "acquisit": 3, "addit": 8, "aggreg": [4, 8, 10], "air": 10, "all": [8, 15], "altern": 0, "an": [5, 6, 8], "analys": 12, "analysi": [4, 5, 9, 10, 11], "annual": 8, "anomali": [3, 10, 12, 13, 14, 15], "antarctica": 5, "api": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "appendix": 4, "appli": 2, "arctic": [2, 10], "area": [6, 14], "arrai": 13, "assess": 15, "atlant": 12, "atmospher": 7, "avail": 5, "averag": [3, 4, 8, 13], "base": [9, 14], "between": [8, 9], "bia": 7, "break": 12, "budget": [2, 3], "c3": [7, 10, 11, 12], "calcul": [1, 2, 3, 8, 10, 12, 13, 15], "case": [2, 3], "categori": 14, "cd": [0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15], "celsiu": [8, 10, 12], "chang": [7, 9, 10, 12, 13], "characterist": 14, "chill": 1, "clara": 3, "client": 0, "climat": [0, 1, 5, 7, 8, 9, 10, 11, 12, 13, 15], "climatolog": 4, "climatologi": [2, 3, 4, 9, 10, 11, 12, 13], "cm": 3, "cmip6": 8, "colab": 12, "column": [4, 5], "combi": 4, "combin": 8, "common": 14, "compar": [1, 6, 11, 13], "comput": [9, 12, 13, 14], "conclus": 4, "content": 7, "convers": [8, 13], "convert": [2, 10, 13], "copernicu": 7, "cordex": 9, "correct": 7, "correl": 14, "cours": 5, "creat": [8, 13, 14], "credenti": [0, 2, 3, 4, 5], "curv": 14, "cycl": 4, "dai": [6, 15], "daili": 11, "danger": 15, "data": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "dataset": [0, 2, 3, 4, 13, 14], "date": 13, "defin": 13, "descript": [3, 4], "determinist": 14, "diagram": 5, "dimens": [8, 10], "dimension": 13, "discharg": 6, "distribut": [2, 3, 4, 5], "domain": 6, "download": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 15], "dure": 5, "each": [13, 15], "earth": 2, "ecv": 5, "effi": 7, "ensembl": [8, 13], "enter": [1, 6, 10, 11, 12, 15], "environ": 6, "era5": [0, 1, 11, 12, 14], "esotc": 15, "eumetsat": 3, "europ": 3, "european": [11, 15], "europen": 10, "event": 6, "evolut": [2, 5], "ewd": 6, "exampl": 0, "exceed": 6, "exercis": [1, 12], "experi": [8, 12], "explor": [4, 5, 6], "expver": 12, "extract": [8, 13], "file": [8, 9], "filter": 0, "find": [6, 15], "fire": 15, "flood": 6, "forecast": [7, 13, 14], "form": 0, "from": [0, 3, 8, 9, 10, 11, 12, 13, 14], "further": 0, "futur": 9, "fwi": 15, "geograph": [10, 13], "get": [2, 3, 6], "global": [2, 3, 4, 5, 8, 12, 15], "glofa": [6, 7], "grid": [2, 10], "gto": 5, "heatwav": 11, "hindcast": [13, 14], "hir": 2, "histor": [9, 15], "hole": 5, "hot": 3, "hourli": 0, "how": [2, 7, 14], "i": 12, "import": [1, 2, 3, 4, 5, 6, 10, 11, 12, 15], "incom": 3, "index": [1, 15], "indic": [7, 15], "inform": [2, 3, 4, 14], "infrastructur": 12, "inspect": [1, 4, 8, 10, 11, 12, 15], "instal": [0, 1, 6, 8, 9, 10, 11, 12, 13], "interact": 0, "interfac": 0, "introduct": [2, 3, 4, 12], "juli": 12, "june": 6, "kaggl": 12, "kei": [0, 1, 6, 10, 11, 12, 15], "kelvin": [8, 10, 12], "land": 0, "lat": 10, "later": 8, "lead": 13, "librari": [1, 2, 3, 4, 6, 8, 9, 10, 11, 12, 15], "list": 8, "load": [2, 3, 8, 9, 13, 14, 15], "lon": 10, "longitud": [2, 10], "longwav": 2, "major": 6, "manual": 0, "map": [6, 13, 15], "mask": 6, "maximum": 11, "mean": [2, 3, 4, 13], "member": 13, "merg": [2, 5, 12], "metric": 15, "mm": 13, "model": 8, "modul": 5, "monitor": 7, "month": [10, 13], "monthli": [4, 10, 12, 13], "more": [2, 3], "multipl": 8, "ncei": 2, "necessari": 15, "new": 12, "noaa": 2, "normal": 10, "north": 12, "notebook": 2, "number": [6, 15], "observ": [6, 7, 14], "octob": 5, "olr": 2, "one": [8, 10, 12], "oper": 14, "outgo": 2, "outlin": 0, "over": [5, 10, 13], "overview": 6, "ozon": 5, "packag": [13, 14], "part": 12, "percentil": 6, "period": [6, 9, 10, 12], "pip": [8, 9], "pivot": 13, "plot": [2, 3, 4, 8, 10, 12, 13, 14, 15], "polar": 5, "precipit": 13, "prepar": [2, 8], "prerequisit": [2, 3], "present": 0, "previou": 6, "probabilist": 14, "probabl": 14, "process": 1, "produc": 15, "product": [5, 14], "programmat": [0, 8, 9, 13], "project": [5, 7, 8, 9], "python": [5, 15], "quantil": 8, "radiat": [2, 3], "rank": 14, "rate": 13, "rcp4": 9, "read": [13, 14], "reanalysi": [1, 7, 11], "record": 12, "reduc": 6, "refer": [2, 9, 10, 12], "region": [13, 15], "rel": [3, 14], "relat": 3, "repeat": [1, 13], "represent": 13, "request": [0, 8, 9, 13, 14], "resourc": 0, "result": 1, "retriev": [0, 14], "river": 6, "roc": 14, "roll": [2, 13], "rp": 14, "run": [7, 12, 14], "saf": 3, "scenario": 9, "score": 14, "sea": 12, "search": [1, 2, 3, 4, 6, 10, 11, 12, 15], "season": [4, 7, 10, 13, 14], "select": 0, "septemb": 11, "seri": [2, 4, 5, 8, 10, 12], "servic": 7, "set": [0, 2, 3, 4, 5], "setup": 6, "shortwav": 3, "si": 3, "signal": 9, "spatial": [4, 8, 13], "specif": 10, "sst": 12, "standard": [10, 12], "state": 15, "step": 13, "store": [0, 5, 7], "studi": 6, "submit": 0, "subregion": 13, "subselect": 2, "subset": 13, "summer": 3, "surfac": [3, 10, 12], "tabl": 13, "target": 9, "tcwv": 4, "temperatur": [8, 10, 11, 12], "tempor": [2, 3, 8], "tercil": [13, 14], "thi": [12, 14], "through": 5, "time": [2, 4, 5, 8, 10, 12, 13], "timeseri": [2, 15], "timestep": 12, "titl": 14, "total": [4, 5, 13], "trend": [4, 12], "tutori": [0, 7, 10, 12, 14], "two": [12, 13], "under": 14, "unit": [10, 12], "unpack": 2, "unzip": [8, 9], "up": [2, 3, 4, 5], "upstream": 6, "us": [0, 2, 3, 4, 7, 10, 11, 12, 14], "v": 15, "vapour": 4, "variabl": 14, "verif": 14, "versu": 9, "via": [0, 8, 9], "view": [1, 4, 6, 8, 10, 11, 12], "visual": [8, 9, 13, 14], "visualis": [5, 10, 12, 13, 15], "want": 6, "water": 4, "we": [6, 12], "weather": 15, "web": 0, "weekli": 15, "weight": 2, "wind": 1, "work": 12, "xarrai": 15, "xr": 14, "year": [3, 5, 6, 13], "your": [1, 6, 10, 11, 12, 15], "zonal": 4}})
\ No newline at end of file
+Search.setIndex({"alltitles": {"1. Introduction": [[2, "introduction"]], "1. Request data from the CDS programmatically with the CDS API": [[13, "request-data-from-the-cds-programmatically-with-the-cds-api"]], "1. Request data from the CDS using CDS API": [[14, "request-data-from-the-cds-using-cds-api"]], "1. Search and download the data": [[15, "search-and-download-the-data"]], "1. Search, download and view data": [[10, "search-download-and-view-data"], [12, "search-download-and-view-data"]], "1a. Retrieve hindcast data": [[14, "a-retrieve-hindcast-data"]], "1b. Retrieve observations data (ERA5)": [[14, "b-retrieve-observations-data-era5"]], "2. Calculate a surface temperature climatology: reference period 1991-2020": [[12, "calculate-a-surface-temperature-climatology-reference-period-1991-2020"]], "2. Calculate climate normals": [[10, "calculate-climate-normals"]], "2. Calculate seasonal hindcast climate mean": [[13, "calculate-seasonal-hindcast-climate-mean"]], "2. Compute deterministic and probabilistic products from the hindcast data": [[14, "compute-deterministic-and-probabilistic-products-from-the-hindcast-data"]], "2. Prerequisites and data preparations": [[2, "prerequisites-and-data-preparations"]], "2.1 How to access the notebook": [[2, "how-to-access-the-notebook"]], "2.2 Import libraries": [[2, "import-libraries"]], "2.3 Download data using CDS API": [[2, "download-data-using-cds-api"]], "2022 vs 1991-2020 as Climate": [[15, "vs-1991-2020-as-climate"]], "2: Calculate the ESoTC FWI metric": [[15, "calculate-the-esotc-fwi-metric"]], "2a. Anomalies": [[14, "a-anomalies"]], "2b. Probabilities for tercile categories": [[14, "b-probabilities-for-tercile-categories"]], "3. Anomaly calculation": [[10, "anomaly-calculation"]], "3. Compute deterministic and probabilistic scores": [[14, "compute-deterministic-and-probabilistic-scores"]], "3. Load monthly seasonal forecast data for 2021 and calculate seasonal forecast anomalies": [[13, "load-monthly-seasonal-forecast-data-for-2021-and-calculate-seasonal-forecast-anomalies"]], "3. Plot the data as maps": [[15, "plot-the-data-as-maps"]], "3. Use Cases": [[2, "use-cases"]], "3. Visualise surface temperature anomalies": [[12, "visualise-surface-temperature-anomalies"]], "3a. Read observations data into a xr.Dataset": [[14, "a-read-observations-data-into-a-xr-dataset"]], "3b. Compute deterministic scores": [[14, "b-compute-deterministic-scores"]], "3c. Compute probabilistic scores for tercile categories": [[14, "c-compute-probabilistic-scores-for-tercile-categories"]], "4. Calculate monthly climatology and anomalies": [[10, "calculate-monthly-climatology-and-anomalies"]], "4. View time series and analyse surface temperature trends": [[12, "view-time-series-and-analyse-surface-temperature-trends"]], "4. Visualize seasonal forecast anomalies for a geographical subregion": [[13, "visualize-seasonal-forecast-anomalies-for-a-geographical-subregion"]], "4. Visualize verification plots": [[14, "visualize-verification-plots"]], "4.1 Spatial map visualization": [[13, "spatial-map-visualization"]], "4.2 Plot of total precipitation anomalies for each seasonal forecast month": [[13, "plot-of-total-precipitation-anomalies-for-each-seasonal-forecast-month"]], "4a. Correlation": [[14, "a-correlation"]], "4b. Ranked Probability Score (RPS)": [[14, "b-ranked-probability-score-rps"]], "4c. Area under Relative Operating Characteristic (ROC) curve": [[14, "c-area-under-relative-operating-characteristic-roc-curve"]], "5. Calculate seasonal forecast 3-month anomalies": [[13, "calculate-seasonal-forecast-3-month-anomalies"]], "5. Time series analysis": [[10, "time-series-analysis"]], "5. View time series and analyse North Atlantic sea surface temperature trends": [[12, "view-time-series-and-analyse-north-atlantic-sea-surface-temperature-trends"]], "About": [[0, "about"], [1, "about"], [6, "about"], [8, "about"], [9, "about"], [10, "about"], [12, "about"], [13, "about"], [14, "about"]], "Access data interactively via the CDS web interface": [[0, "access-data-interactively-via-the-cds-web-interface"]], "Access data programmatically with the CDS API": [[0, "access-data-programmatically-with-the-cds-api"]], "Accessing the upstream area data": [[6, "accessing-the-upstream-area-data"]], "Aggregate over geographical lat/lon dimensions": [[10, "aggregate-over-geographical-lat-lon-dimensions"]], "Alternative: Set CDS API credentials manually": [[0, "alternative-set-cds-api-credentials-manually"]], "Analysis and visualisation of the data": [[5, "analysis-and-visualisation-of-the-data"]], "Analysis of Projected versus Historical Climatology with CORDEX Data": [[9, null]], "Analysis of September 2020 European Heatwave using ERA5 Climate Reanalysis Data from C3S": [[11, null]], "Appendix": [[4, "appendix"]], "Apply weights and calculate the rolling mean": [[2, "apply-weights-and-calculate-the-rolling-mean"]], "Atmosphere Monitoring Tutorials": [[7, null]], "Average over ensemble members and years to create hindcast climatology": [[13, "average-over-ensemble-members-and-years-to-create-hindcast-climatology"]], "Average over region": [[13, "average-over-region"]], "Calculate 2021 anomalies": [[13, "calculate-2021-anomalies"]], "Calculate anomalies": [[13, "calculate-anomalies"]], "Calculate monthly anomalies": [[10, "calculate-monthly-anomalies"]], "Calculate quantiles for model ensemble": [[8, "calculate-quantiles-for-model-ensemble"]], "Calculate temporal mean and convert longitude to [-180, 180] grid": [[2, "calculate-temporal-mean-and-convert-longitude-to-180-180-grid"]], "Calculate the anomaly in the number of days with Fire Weather Index > 50": [[15, "calculate-the-anomaly-in-the-number-of-days-with-fire-weather-index-50"]], "Calculate wind chill index": [[1, "calculate-wind-chill-index"]], "Calculation of global climatology and relative anomalies of Surface Radiation Budget from EUMETSAT\u2019s CM SAF CLARA-A3 dataset": [[3, null]], "Calculation of global distribution and timeseries of Outgoing Longwave Radiation (OLR) using NOAA/NCEI HIRS data": [[2, null]], "Calculation of hindcast anomaly terciles": [[13, "calculation-of-hindcast-anomaly-terciles"]], "Calculation of the temporal average of SIS": [[3, "calculation-of-the-temporal-average-of-sis"]], "Change representation of forecast lead time": [[13, "change-representation-of-forecast-lead-time"]], "Change temperature units from Kelvin to Celsius": [[10, "change-temperature-units-from-kelvin-to-celsius"], [12, "change-temperature-units-from-kelvin-to-celsius"]], "Climate Data Store (CDS)": [[7, null]], "Climate Data Store Tutorial": [[0, null]], "Climatology of the total column water vapour": [[4, "climatology-of-the-total-column-water-vapour"]], "Common variables": [[14, "common-variables"]], "Compare maximum temperatures with climatology": [[11, "compare-maximum-temperatures-with-climatology"]], "Compare the June 2022 river discharge to the previous 10 years": [[6, "compare-the-june-2022-river-discharge-to-the-previous-10-years"]], "Compute 3-month rolling averages": [[13, "compute-3-month-rolling-averages"]], "Compute CORDEX future climatology for target period 2071-2100 based on scenario RCP4.5": [[9, "compute-cordex-future-climatology-for-target-period-2071-2100-based-on-scenario-rcp4-5"]], "Compute CORDEX historical climatology for reference period 1971-2000": [[9, "compute-cordex-historical-climatology-for-reference-period-1971-2000"]], "Compute and visualize the climate change signal between the target (2071-2100) and reference (1971-2000) period": [[9, "compute-and-visualize-the-climate-change-signal-between-the-target-2071-2100-and-reference-1971-2000-period"]], "Conclusion": [[4, "conclusion"]], "Contents": [[7, "contents"]], "Conversion from Kelvin to Celsius": [[8, "conversion-from-kelvin-to-celsius"]], "Conversion of data into two dimensional pivot table": [[13, "conversion-of-data-into-two-dimensional-pivot-table"]], "Convert forecast lead time month into dates": [[13, "convert-forecast-lead-time-month-into-dates"]], "Convert from precipitation rates to accumulation": [[13, "convert-from-precipitation-rates-to-accumulation"]], "Convert longitude to [-180, 180] grid": [[10, "convert-longitude-to-180-180-grid"]], "Convert precipitation rate to accumulation in mm": [[13, "convert-precipitation-rate-to-accumulation-in-mm"]], "Copernicus Climate Change Service (C3S) Data Tutorials": [[7, null]], "Create a list of the extracted files": [[8, "create-a-list-of-the-extracted-files"]], "Create additional data dimensions (to later combine data from multiple models & experiments)": [[8, "create-additional-data-dimensions-to-later-combine-data-from-multiple-models-experiments"]], "Create plot titles base information": [[14, "create-plot-titles-base-information"]], "Data": [[8, "data"], [9, "data"]], "Data retrieval": [[0, "data-retrieval"]], "Data to be used": [[12, "data-to-be-used"]], "Dataset description": [[3, "dataset-description"], [4, "dataset-description"]], "Define a geographical subset": [[13, "define-a-geographical-subset"]], "Download Data Using CDS API": [[4, "download-data-using-cds-api"]], "Download data": [[1, "download-data"], [4, "download-data"], [6, "download-data"], [10, "download-data"], [11, "download-data"], [12, "download-data"]], "Download data using CDS API": [[3, "download-data-using-cds-api"]], "Downloading the GTO-ECV product": [[5, "downloading-the-gto-ecv-product"]], "Ensemble mean anomaly": [[13, "ensemble-mean-anomaly"]], "Enter your CDS API key": [[1, "enter-your-cds-api-key"], [10, "enter-your-cds-api-key"], [11, "enter-your-cds-api-key"], [12, "enter-your-cds-api-key"], [15, "enter-your-cds-api-key"]], "Enter your EWDS API key": [[6, "enter-your-ewds-api-key"]], "Example data request": [[0, "example-data-request"]], "Example: ERA5-Land hourly data from 1950 to present": [[0, "example-era5-land-hourly-data-from-1950-to-present"]], "Exercise: Repeat process with ERA5 data and compare results": [[1, "exercise-repeat-process-with-era5-data-and-compare-results"]], "Explore and view the data": [[6, "explore-and-view-the-data"]], "Exploring Total Column Water Vapour information in the COMBI dataset": [[4, null]], "Exploring an ozone product available through the Climate Data Store (CDS)": [[5, null]], "Extract data array from dataset": [[13, "extract-data-array-from-dataset"]], "Filter and select a dataset": [[0, "filter-and-select-a-dataset"]], "Find the fire danger indices historical data": [[15, "find-the-fire-danger-indices-historical-data"]], "Find the river discharge data we want": [[6, "find-the-river-discharge-data-we-want"]], "Further resources": [[0, "further-resources"]], "Get more information about Earth Radiation Budget:": [[2, "get-more-information-about-earth-radiation-budget"]], "Get more information about Surface Radiation Budget": [[3, "get-more-information-about-surface-radiation-budget"]], "Getting an overview of the study area": [[6, "getting-an-overview-of-the-study-area"]], "Global time series of TCWV": [[4, "global-time-series-of-tcwv"]], "How to run these tutorials": [[7, "how-to-run-these-tutorials"]], "How to run this tutorial": [[14, "how-to-run-this-tutorial"]], "Import libraries": [[1, "import-libraries"], [3, "import-libraries"], [4, "import-libraries"], [6, "import-libraries"], [10, "import-libraries"], [11, "import-libraries"], [12, "import-libraries"]], "Import the python modules": [[5, "import-the-python-modules"]], "Importing all the necessary python libraries": [[15, "importing-all-the-necessary-python-libraries"]], "Infrastructure introduction (installing API of the CDS)": [[12, "infrastructure-introduction-installing-api-of-the-cds"]], "Inspect Data": [[1, "inspect-data"], [11, "inspect-data"]], "Inspect data": [[4, "inspect-data"], [10, "inspect-data"], [12, "inspect-data"]], "Install CDS API": [[1, "install-cds-api"], [10, "install-cds-api"], [11, "install-cds-api"]], "Install CDS API via pip": [[8, "install-cds-api-via-pip"], [9, "install-cds-api-via-pip"]], "Install EWDS API": [[6, "install-ewds-api"]], "Install packages": [[13, "install-packages"]], "Install the CDS API client": [[0, "install-the-cds-api-client"]], "Install the CDS API key": [[0, "install-the-cds-api-key"]], "Installation on your computer": [[12, "installation-on-your-computer"]], "Introduction": [[3, "introduction"], [4, "introduction"]], "Load and inspect data": [[8, "load-and-inspect-data"]], "Load and inspect the global data with xarray": [[15, "load-and-inspect-the-global-data-with-xarray"]], "Load and prepare CMIP6 data for all models and experiments": [[8, "load-and-prepare-cmip6-data-for-all-models-and-experiments"]], "Load and prepare CMIP6 data for one model and one experiment": [[8, "load-and-prepare-cmip6-data-for-one-model-and-one-experiment"]], "Load dataset": [[3, "load-dataset"]], "Load dataset, subselect and calculate temporal mean": [[2, "load-dataset-subselect-and-calculate-temporal-mean"]], "Load libraries": [[8, "load-libraries"], [9, "load-libraries"]], "Load packages": [[13, "load-packages"], [14, "load-packages"]], "Load seasonal forecast data for 2021 and change representation of forecast lead time": [[13, "load-seasonal-forecast-data-for-2021-and-change-representation-of-forecast-lead-time"]], "Map the number of days that the river discharge exceeded the 90th percentile of the 10-year period.": [[6, "map-the-number-of-days-that-the-river-discharge-exceeded-the-90th-percentile-of-the-10-year-period"]], "Mask the river discharge data": [[6, "mask-the-river-discharge-data"]], "Merge the two ERA5 experiments (1 and 5, expver = [1,5])": [[12, "merge-the-two-era5-experiments-1-and-5-expver-1-5"]], "Monthly climatology of TCWV": [[4, "monthly-climatology-of-tcwv"]], "Observing major flood events with GLOFAS": [[6, null]], "Outline": [[0, "outline"]], "Plot an Ensemble of CMIP6 Climate Projections": [[8, null]], "Plot data": [[2, "plot-data"], [2, "id1"], [4, "plot-data"], [4, "id1"], [10, "plot-data"]], "Plot of the relative anomaly in 2003 of SIS for Europe in relation to the temporal average of SIS": [[3, "plot-of-the-relative-anomaly-in-2003-of-sis-for-europe-in-relation-to-the-temporal-average-of-sis"]], "Plot of the temporal average of SIS": [[3, "plot-of-the-temporal-average-of-sis"]], "Plotting Timeseries of Weekly": [[15, "plotting-timeseries-of-weekly"]], "Plotting one timestep": [[12, "plotting-one-timestep"]], "Prerequisites and data acquisition": [[3, "prerequisites-and-data-acquisition"]], "Produce maps for each of the ESOTC Regions": [[15, "produce-maps-for-each-of-the-esotc-regions"]], "Read the downloaded data": [[13, "read-the-downloaded-data"]], "Reduce the upstream area to the domain of the data": [[6, "reduce-the-upstream-area-to-the-domain-of-the-data"]], "References": [[2, "references"]], "Repeat steps for hindcast data (to compare forecast and hindcast anomalies)": [[13, "repeat-steps-for-hindcast-data-to-compare-forecast-and-hindcast-anomalies"]], "Request data from the CDS programmatically with the CDS API": [[8, "request-data-from-the-cds-programmatically-with-the-cds-api"], [9, "request-data-from-the-cds-programmatically-with-the-cds-api"]], "Running on Colab or Kaggle": [[12, "running-on-colab-or-kaggle"]], "Search and download the data": [[6, "search-and-download-the-data"]], "Search for climate data to calculate wind chill index": [[1, "search-for-climate-data-to-calculate-wind-chill-index"]], "Search for data": [[2, "search-for-data"], [3, "search-for-data"], [4, "search-for-data"], [10, "search-for-data"], [11, "search-for-data"], [12, "search-for-data"]], "Search, download and view data": [[1, "search-download-and-view-data"], [4, "search-download-and-view-data"], [11, "search-download-and-view-data"]], "Seasonal Forecast Anomalies": [[13, null]], "Seasonal Forecast Verification": [[14, null]], "Seasonal analysis of Arctic near-surface air temperature": [[10, "seasonal-analysis-of-arctic-near-surface-air-temperature"]], "Set up CDS API credentials": [[2, "set-up-cds-api-credentials"], [3, "set-up-cds-api-credentials"], [4, "set-up-cds-api-credentials"], [5, "set-up-cds-api-credentials"]], "Setup your environment": [[6, "setup-your-environment"]], "Spatial aggregation": [[4, "spatial-aggregation"], [8, "spatial-aggregation"]], "Standard reference period and climate normals": [[10, "standard-reference-period-and-climate-normals"]], "Standard reference periods and climatologies": [[12, "standard-reference-periods-and-climatologies"]], "Submit the Download data form": [[0, "submit-the-download-data-form"]], "Temporal aggregation": [[8, "temporal-aggregation"]], "The evolution of the global ozone distribution during the course of the year 2021": [[5, "the-evolution-of-the-global-ozone-distribution-during-the-course-of-the-year-2021"]], "The evolution of the ozone hole above Antarctica": [[5, "the-evolution-of-the-ozone-hole-above-antarctica"]], "The merged total column product": [[5, "the-merged-total-column-product"]], "This is a new exercise. In this part of the tutorial we will be working with monthly sea surface temperature (SST) data.": [[12, "this-is-a-new-exercise-in-this-part-of-the-tutorial-we-will-be-working-with-monthly-sea-surface-temperature-sst-data"]], "Time averaged global climatological distribution of TCWV": [[4, "time-averaged-global-climatological-distribution-of-tcwv"]], "Time averaged seasonal climatological distribution of TCWV": [[4, "time-averaged-seasonal-climatological-distribution-of-tcwv"]], "Time series and trend analysis of the total column water vapour": [[4, "time-series-and-trend-analysis-of-the-total-column-water-vapour"]], "Time series diagram of ozone": [[5, "time-series-diagram-of-ozone"]], "Time series of the ozone hole over the years in the polar projection during October": [[5, "time-series-of-the-ozone-hole-over-the-years-in-the-polar-projection-during-october"]], "Trend analysis and seasonal cycle of TCWV": [[4, "trend-analysis-and-seasonal-cycle-of-tcwv"]], "Tutorial on Climatologies using Climate Data from C3S": [[10, null]], "Tutorial on July 2023 record-breaking global surface temperatures using climate data from C3S": [[12, null]], "Tutorials on Bias Correction": [[7, null]], "Tutorials on Climate Indices": [[7, null]], "Tutorials on Climate Projections": [[7, null]], "Tutorials on Observations": [[7, null]], "Tutorials on Reanalysis": [[7, null]], "Tutorials on Seasonal Forecasts": [[7, null]], "Tutorials using EFFIS and GloFAS data": [[7, null]], "Unpack and merge data": [[2, "unpack-and-merge-data"]], "Unzip the downloaded data files": [[8, "unzip-the-downloaded-data-files"], [9, "unzip-the-downloaded-data-files"]], "Use case 1: Climatology of the Outgoing Longwave Radiation (OLR)": [[2, "use-case-1-climatology-of-the-outgoing-longwave-radiation-olr"]], "Use case 1: The mean global Surface Incoming Shortwave (SIS) radiation distribution": [[3, "use-case-1-the-mean-global-surface-incoming-shortwave-sis-radiation-distribution"]], "Use case 2: Global time series of the OLR": [[2, "use-case-2-global-time-series-of-the-olr"]], "Use case 2: Relative Anomaly. Hot summer of the year 2003 in Europe": [[3, "use-case-2-relative-anomaly-hot-summer-of-the-year-2003-in-europe"]], "Use case 3: OLR evolution in the Arctic": [[2, "use-case-3-olr-evolution-in-the-arctic"]], "Use the CDS API client for data access": [[0, "use-the-cds-api-client-for-data-access"]], "View daily maximum 2m temperature for September 2020": [[11, "view-daily-maximum-2m-temperature-for-september-2020"]], "View data": [[4, "view-data"]], "View time-series": [[8, "view-time-series"]], "Visualise 3-monthly total precipitation ensemble mean anomalies": [[13, "visualise-3-monthly-total-precipitation-ensemble-mean-anomalies"]], "Visualise Europen near-surface temperature anomalies for one specific month": [[10, "visualise-europen-near-surface-temperature-anomalies-for-one-specific-month"]], "Visualising the Fire Weather Index (FWI) for the European State of the Climate (ESOTC) assessment": [[15, null]], "Visualize the CMIP6 annual global average temperature between 1850 to 2100": [[8, "visualize-the-cmip6-annual-global-average-temperature-between-1850-to-2100"]], "Wind Chill Index with Reanalysis Data": [[1, null]], "Zonally averaged monthly mean climatology of TCWV": [[4, "zonally-averaged-monthly-mean-climatology-of-tcwv"]]}, "docnames": ["cds-tutorial", "ci-windchill", "ecv-notebooks/erb-outgoing-longwave-radiation", "ecv-notebooks/srb-climatology-and-anomaly", "ecv-notebooks/total-column-water-vapour-combi", "ecv-notebooks/total-ozone-columns", "glofas-bangladesh-floods", "intro", "projections-cmip6", "projections-cordex", "reanalysis-climatology", "reanalysis-heatwave", "reanalysis-temp-record", "sf-anomalies", "sf-verification", "visualising-fwi-for-esotc"], "envversion": {"sphinx": 62, "sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1}, "filenames": ["cds-tutorial.ipynb", "ci-windchill.ipynb", "ecv-notebooks/erb-outgoing-longwave-radiation.ipynb", "ecv-notebooks/srb-climatology-and-anomaly.ipynb", "ecv-notebooks/total-column-water-vapour-combi.ipynb", "ecv-notebooks/total-ozone-columns.ipynb", "glofas-bangladesh-floods.ipynb", "intro.md", "projections-cmip6.ipynb", "projections-cordex.ipynb", "reanalysis-climatology.ipynb", "reanalysis-heatwave.ipynb", "reanalysis-temp-record.ipynb", "sf-anomalies.ipynb", "sf-verification.ipynb", "visualising-fwi-for-esotc.ipynb"], "indexentries": {}, "objects": {}, "objnames": {}, "objtypes": {}, "terms": {"": [0, 1, 2, 4, 6, 9, 10, 11, 12, 13, 14, 15], "0": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "00": [0, 1, 3, 4, 6, 8, 9, 10, 11, 12, 13, 14, 15], "0000": [9, 12], "000000000": [1, 3, 4, 6, 10, 11, 12, 13], "000000e": 6, "00046": 9, "0009": 11, "0010": 2, "0012": 9, "0014": 14, "00160129e": 13, "0017": 12, "0020": 14, "00259070131dconvent": 4, "00278362e": 13, "00379500e": 13, "004068": 13, "004536": 13, "00455002e": 13, "00484970e": 13, "00590860e": 13, "007": 14, "00812407e": 13, "00long_nam": [1, 11], "00parent_variant_label": 8, "00zstandard_name_vocabulari": 4, "00ztime_coverage_dur": 3, "00ztime_coverage_end": [3, 4], "01": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "01029229e": 13, "01103195e": 13, "011032": 13, "01244479e": 13, "01413807e": 13, "01454959e": 13, "0147": 9, "01744213": 8, "017453292519943295": 4, "018750e": 6, "019983": 13, "01_2002": 4, "01arrai": [12, 13], "01long_nam": [4, 10, 12, 13], "01standard_nam": [3, 4], "01t00": [3, 4, 6, 10, 11, 12, 13], "01t01": 11, "01t02": 11, "01xarrai": [12, 13], "02": [1, 3, 4, 5, 6, 8, 10, 11, 12, 13, 15], "02006": 12, "02138782": 8, "022484": 12, "024350": 13, "02487624e": 13, "024999999999856": 6, "02499999999999": 6, "025": [4, 6], "025grib_latitudeoflastgridpointindegre": 6, "025grib_missingvalu": 6, "026937": 12, "027836": 13, "02823": 9, "02d": [2, 3, 4, 5, 6, 14], "02t00": 6, "03": [2, 3, 4, 6, 9, 10, 11, 12, 14, 15], "03125": 6, "032246": 12, "03257159": 8, "034": 9, "03494": 9, "03497": 9, "03511049e": 13, "03560854e": 13, "03604423e": 13, "03695976e": 13, "03791900e": 13, "03840039e": 13, "03888187e": 13, "039993": 9, "03arrai": 13, "03t00": 6, "03t12": 1, "03unit": 6, "03z": 9, "03zc3s_comment": 9, "04": [1, 3, 4, 6, 9, 10, 11, 12, 13, 15], "040024": 9, "041544e": 6, "041558e": 6, "0427": 9, "042e": 6, "04343936e": 13, "045": 2, "045500": 13, "04577": 12, "046": 9, "0461109": 8, "04628000e": 13, "048750e": 6, "049": 9, "04d": [2, 3, 4, 5], "04grib_paramid": 6, "05": [3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15], "05008": 9, "055": 5, "056824": 12, "05699071e": 13, "057": 12, "05738801e": 13, "05804": 9, "0583": 9, "0599": 9, "05arrai": 12, "05deg": 4, "05grib_iscansneg": 6, "05grib_jpointsareconsecut": 6, "05t21": 4, "06": [1, 3, 4, 6, 8, 9, 10, 11, 12, 13, 14, 15], "060": 3, "06132052e": 13, "06172898e": 13, "06239495e": 13, "0625": 8, "062500e": 6, "06378": 9, "06613124e": 13, "06633781": 8, "06735551e": 13, "06814734e": 13, "07": [2, 3, 4, 6, 10, 11, 12, 13, 15], "070137": 13, "07044548e": 13, "071874": 13, "07374e": 8, "074999999999857": 6, "07499999999999": 6, "075": 6, "07671835e": 13, "07714388e": 13, "07750225e": 13, "077e": 13, "078094": 13, "0788": 9, "079971": 9, "07z": 8, "08": [3, 4, 6, 9, 10, 11, 12, 13, 15], "080002": 9, "08368031e": 13, "086590": 13, "08817150e": 13, "088538": 13, "08_anomali": 10, "09": [3, 4, 6, 8, 9, 10, 11, 12, 13, 15], "090658": 13, "09126286e": 13, "091960": 13, "09196029e": 13, "0931": 9, "09344713e": 13, "093750e": 6, "09488069e": 13, "095": 12, "09858567e": 13, "099666": 13, "09arrai": 13, "09t11": 3, "0_44_degree_x_0_44_degre": 9, "0_5_x_0_5": 4, "0a759f": 15, "0arrai": [9, 10, 13], "0branch_time_in_par": 8, "0convent": [1, 6, 13], "0creation_d": 8, "0date_cr": 3, "0e89c522": 15, "0geospatial_lat_max": [3, 4], "0geospatial_lon_max": [3, 4], "0geospatial_lon_min": 4, "0geospatial_lon_unit": 3, "0geospatial_vertical_max": 4, "0geospatial_vertical_min": 4, "0grib_dyinmetr": 1, "0grib_iscansneg": 13, "0grib_jdirectionincrementindegre": [6, 13, 15], "0grib_jpointsareconsecut": [1, 13], "0grib_jscansposit": [1, 6, 13, 15], "0grib_ladindegre": 1, "0grib_latin1indegre": 1, "0grib_latin2indegre": 1, "0grib_latitudeoffirstgridpointindegre": [6, 13, 15], "0grib_latitudeoflastgridpointindegre": [13, 15], "0grib_longitudeoffirstgridpointindegre": [1, 13, 15], "0grib_longitudeoflastgridpointindegre": [13, 15], "0grib_lovindegre": 1, "0grib_missingvalu": [1, 13], "0grib_nv": [1, 15], "0grib_nx": [1, 6, 13, 15], "0grib_unit": 13, "0grid_north_pole_latitud": 9, "0institut": 3, "0long_nam": [1, 4, 6, 13, 15], "0product_vers": 3, "0standard_nam": [6, 9], "0summari": 4, "0time_coverage_dur": 4, "0tracking_id": 8, "0unit": [10, 11, 12, 13, 15], "0variable_id": 3, "0x1cc899d3790": 10, "0x1cc8aa9e560": 10, "0x1cc8b4dd390": 10, "0x1cc8dc689d0": 10, "0x2d394e6d000": 12, "0x2d3972944c0": 12, "0x2d39849f8b0": 12, "0x2d39e806200": 12, "0x2d39e919480": 12, "0x2d3dfc4ffd0": 12, "0x316782450": 4, "0xarrai": [3, 12, 13], "1": [0, 1, 4, 5, 6, 8, 9, 11], "10": [0, 1, 3, 4, 5, 8, 9, 10, 11, 12, 13, 14, 15], "100": [3, 5, 8, 13, 15], "1000": [1, 13], "1009": 3, "101": 14, "10134101e": 13, "102": [8, 13], "102171": 13, "104": [8, 14], "105": 8, "10565": 9, "105d": 9, "10627200000000000": 13, "107": 8, "108": 13, "10892567": 8, "109": 8, "10950": 9, "10950rlat": 9, "10950rlon": 9, "10m": 1, "10m_u_component_of_wind": 0, "10m_v_component_of_wind": 0, "10m_wind_spe": 1, "10si": 1, "10sigrib_unit": 1, "10th": [6, 8, 15], "11": [1, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "11000": 1, "110m_physic": 12, "111": 8, "11126219e": 13, "111e": 13, "111km": 11, "11202cmsaf_parameter_cod": 3, "11202platform_vocabulari": 3, "1121126400": 14, "1129": 9, "113": [8, 13], "1138": 9, "113_c3s_climate_indic": [], "11487": 9, "115": 8, "11618": 9, "117": 8, "1178880137": 4, "1178880137wkt": 4, "118": 14, "11832515e": 13, "119": [8, 14], "119995": 9, "11eb": 4, "12": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "120": 8, "120026": 9, "12159382e": 13, "122": 8, "122543": 12, "12308": 9, "1234": 12, "124": 8, "12475884e": 13, "124987": 12, "124999999999858": 6, "12499999999999": 6, "125": [3, 8], "125000e": 6, "12518": 9, "12534": 9, "12567": 9, "126": 8, "12606857e": 13, "12616": 12, "12694556e": 13, "126946": 13, "128": 8, "12857": 14, "129632": 13, "12979": 12, "12arrai": 4, "12dask": 4, "12kb": 3, "12lat": 4, "12mb": [3, 4], "12t11": 5, "12xarrai": 4, "13": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "130": 8, "13120948e": 13, "131607": 12, "132": 8, "13219200000000000": 13, "134": 8, "13465320": 6, "135": 8, "13508144e": 13, "135178": 15, "135223": 12, "1356": 9, "13577617e": 13, "136": 13, "13692666e": 13, "137": 8, "139": 8, "1392": 9, "139575": 13, "13th": 6, "13z": 3, "13zlicens": 3, "14": [2, 6, 8, 9, 10, 11, 12, 13, 15], "140322": 12, "14067": 12, "14091686e": 13, "1409a25c": 4, "141": 8, "14100": 8, "14103": 9, "141381": 13, "142": 9, "143": 8, "14397176e": 13, "144": [2, 8], "1440": [3, 12], "14400": 12, "144025": 13, "1440coordin": 3, "1440latitud": 12, "144603": 13, "144lon": 8, "145": 8, "14505": 9, "145496": 13, "1459908": 12, "14651": 12, "147": 8, "14707727e": 13, "1471": 9, "14864983e": 13, "149": 8, "15": [0, 1, 3, 4, 5, 8, 9, 10, 11, 12, 13, 14, 15], "150": 8, "15067915": 8, "1513": 3, "151453": 12, "152": 8, "152486": 13, "153": [10, 13], "15303339e": 13, "15315490e": 13, "15365196": 12, "1537": 9, "153longitud": 10, "153time": 10, "154": 8, "15489429e": 13, "156": 8, "15721925e": 13, "15749887e": 13, "1576": 9, "158": [8, 12], "15897600000000000": 13, "159988": 9, "15t00": 15, "15t12": 1, "16": [1, 2, 3, 4, 6, 8, 9, 10, 11, 12, 13, 15], "160": 8, "160019": 9, "161": 12, "16114398e": 13, "161859": 13, "161latitud": 12, "162": [8, 12], "1634068": 11, "164": 8, "1643877008": 11, "1643879144": 11, "1643890526": 1, "165": 8, "16531018e": 13, "165639": 13, "16567923": 8, "166": 12, "16603799": 8, "16685028e": 13, "1668604690076": 6, "167": 8, "16831095e": 13, "168625": 13, "1687253290": 14, "1687253766": 14, "169": 8, "16999990e": 13, "17": [1, 2, 6, 8, 9, 10, 11, 12, 13, 15], "170147": 13, "171": 8, "17122800e": 13, "1718567179": 12, "1718567197": 12, "1718567366": 12, "1718567441": 12, "17216206": 11, "172228": 13, "172228grib_datatyp": 13, "173": 8, "174434368": 12, "17499999999986": 6, "17499999999998": 6, "175": [4, 8, 15], "176": [4, 15], "177": [3, 4, 8, 12, 15], "178": [2, 3, 4, 12, 15], "179": [3, 4, 6, 8, 10, 12, 15], "17kb": 4, "17th": 13, "17z": 8, "17zcv_version": 8, "18": [1, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "180": [0, 1, 3, 4, 5, 6, 8, 9, 12, 13, 14, 15], "18026233e": 13, "180lat": 4, "181": [4, 13, 14], "181667": 12, "181696": 12, "181grib_cfnam": 13, "181longitud": 13, "182": [8, 14], "183": 4, "184": [8, 13], "18447579e": 13, "1851": 8, "1852": 8, "18523432": 2, "1853": 8, "18531132e": 13, "1854": 8, "186": [4, 8], "186b": 4, "186lat": 4, "186nv": 4, "1875": 8, "187mb": 4, "188": 8, "18805": 9, "188548": 13, "189": 14, "18t12": 13, "19": [2, 6, 8, 9, 11, 12, 13, 15], "190": 8, "192": 8, "192coordin": 8, "193943": 13, "193mb": 4, "194": [8, 9], "1940": [11, 12], "1941": 12, "1942": 12, "194279": 9, "1943": 12, "1944": 12, "1945": [11, 12], "19458000": 14, "1946": 12, "19462772e": 13, "1947": 12, "1948": 12, "1949": 12, "194rlat": 9, "195": 8, "1950": 12, "1951": 12, "19516991e": 13, "1952": 12, "1953": 12, "1954": 12, "1955": 12, "1956": 12, "1957": 12, "1958": 12, "1959": 12, "1960": 12, "1961": [1, 12], "1962": 12, "1963": 12, "1964": 12, "1965": 12, "1966": 12, "1967": 12, "1968": 12, "1969": 12, "197": 8, "1970": [4, 12], "1971": 12, "1972": 12, "1973": 12, "1974": 12, "1975": [9, 12], "1976": [9, 12], "1977": 12, "1978": 12, "1979": [2, 3, 8, 9, 10, 11, 12], "1979bnd": 8, "1980": [9, 10, 11, 12], "1981": [0, 9, 10, 11, 12], "1982": [0, 2, 10, 11, 12], "1983": [0, 10, 11, 12], "1984": [0, 10, 11, 12], "1985": [0, 9, 10, 11, 12], "1986": [0, 9, 10, 11, 12], "1987": [0, 10, 11, 12], "1988": [0, 10, 11, 12], "1989": [0, 1, 10, 11, 12], "199": [8, 9], "1990": [0, 1, 8, 9, 10, 11, 12], "1991": [0, 1, 2, 9, 10, 11], "1992": [0, 1, 10, 11, 12, 15], "1993": [0, 1, 2, 10, 11, 12, 13, 14, 15], "19938960": 13, "1994": [0, 1, 10, 11, 12, 13, 15], "1995": [0, 1, 5, 9, 10, 11, 12, 13, 15], "1996": [0, 1, 9, 10, 11, 12, 13, 15], "1997": [0, 1, 10, 11, 12, 13, 15], "19976312e": 13, "1998": [0, 1, 2, 10, 11, 12, 13, 15], "1999": [0, 1, 10, 11, 12, 13, 15], "19990532": 8, "199997": 9, "19a7525a": 9, "19gb": 3, "19t09": 3, "19t11": 8, "1arrai": [6, 13, 15], "1b2115b8": 14, "1bound": 8, "1cell_method": 3, "1data_specs_vers": 8, "1e": 8, "1e02017d839d": 12, "1e25": 10, "1format_vers": 4, "1g": 14, "1gb": 4, "1grib_centr": 13, "1grib_latitudeoffirstgridpointindegre": 1, "1grib_steptyp": [1, 6, 13, 15], "1institut": 8, "1kb": 4, "1latitud": 12, "1long_nam": [1, 6, 13], "1m": [2, 9, 12, 14], "1mb": 4, "1product": 8, "1realm": 8, "1st": [13, 14, 15], "1standard_nam": [1, 6, 13], "1x1": [3, 11, 14], "2": [0, 1, 4, 5, 6, 8, 9, 11], "20": [2, 4, 6, 8, 9, 11, 12, 13, 14, 15], "200": [3, 5, 13], "2000": [0, 1, 10, 11, 12, 13, 15], "200012": 9, "2000_2071": 9, "2000_cordex_historical_africa": 9, "2001": [0, 1, 9, 10, 11, 12, 13, 15], "2002": [0, 1, 4, 5, 10, 11, 12, 13, 15], "200207": 4, "2003": [0, 1, 4, 10, 11, 12, 13, 15], "2004": [0, 1, 4, 10, 11, 12, 13, 15], "2005": [0, 1, 4, 10, 11, 12, 13, 15], "2006": [0, 1, 4, 10, 11, 12, 13, 15], "2007": [0, 1, 4, 10, 11, 12, 13, 15], "2008": [0, 1, 4, 10, 11, 12, 13, 15], "2009": [0, 1, 4, 10, 11, 12, 13, 15], "201": [8, 9], "2010": [0, 1, 2, 4, 10, 11, 12, 13, 15], "2011": [0, 1, 4, 10, 11, 12, 13, 15], "2012": [0, 1, 4, 6, 9, 10, 11, 12, 13, 15], "20126232": 10, "2012_2022": 6, "2013": [0, 1, 4, 10, 11, 12, 13, 15], "2014": [0, 1, 4, 8, 10, 11, 12, 13, 15], "20141216_v20190624": 8, "2014_historical_": 8, "2015": [0, 1, 4, 8, 9, 10, 11, 12, 13, 15], "2016": [0, 1, 4, 8, 10, 11, 12, 13, 14, 15], "2016_05_hindcast_monthly_tp": 13, "2016_monthli": 14, "2017": [0, 1, 4, 10, 11, 12, 14, 15], "2018": [0, 1, 2, 4, 8, 10, 11, 12, 15], "2019": [0, 1, 2, 3, 4, 8, 10, 11, 12, 15], "201bnd": 9, "201rlon": 9, "202": [6, 15], "2020": [0, 3, 4, 6, 10], "2021": [1, 3, 4, 6, 10, 12, 15], "202113": 13, "2022": [1, 3, 4, 5, 9, 10, 11, 12, 13], "2022arrai": 15, "2022xarrai": 15, "2023": [2, 3, 5, 6, 14, 15], "2024": [3, 4, 5, 10, 12, 15], "202coordin": 6, "202grib_cfnam": 6, "202grib_ni": 6, "202longitud": 6, "203": 8, "203815": 12, "204": 13, "204912_v20190908": 8, "204912_v20200114": 8, "205": 8, "20543": 12, "207": [1, 8], "2075": 9, "2076": 9, "207grib_datatyp": 1, "2080": 9, "208042": 13, "2081": 9, "208387": 12, "20844507": 11, "2085": 9, "2086": 9, "20885381e": 13, "209": 8, "2090": 9, "2091": 9, "20938387e": 13, "2095": 9, "2096": 9, "2097": 8, "2098": 8, "2099": 8, "21": [1, 2, 4, 6, 8, 9, 10, 11, 12, 13, 15], "210": 8, "210012_v20190908": 8, "210012_v20200114": 8, "2100_": 8, "2100_cordex_rcp_4_5_africa": 9, "2100_june": 9, "2100arrai": 8, "21074062": 11, "212": 8, "21240995e": 13, "21298091e": 13, "213": 13, "214": 8, "215": 9, "2156": 9, "216": 8, "21600000": 6, "21723631e": 13, "218": 8, "21885481e": 13, "21y": 1, "22": [3, 4, 6, 9, 10, 11, 12, 13, 15], "220": 8, "222": 8, "224": 8, "2241": 9, "22499999999986": 6, "22499999999998": 6, "225": 8, "227": 8, "229": [3, 8], "22nd": 6, "22t08": 4, "23": [6, 8, 9, 10, 11, 12, 13, 15], "230": 15, "23047770e": 13, "231": 8, "23207": 12, "23219": 12, "233": 8, "233887": 12, "23456789ecmf": 12, "234576000": 13, "23491": 12, "234969": 13, "235": 8, "235216": 12, "236725": 12, "237": [8, 15], "23752": 12, "238": 13, "238525": 12, "239": 8, "23999": 9, "23999023": 9, "23t09": 6, "24": [1, 3, 4, 6, 8, 9, 10, 11, 12, 13, 15], "240": 8, "24000168": 9, "240002": 9, "240021": 9, "240024grib_datatyp": 6, "24054646e": 13, "241": 12, "241time": 12, "242": 8, "242067380": 6, "242157": 12, "24333277e": 13, "243417": 13, "24381": 15, "243973": 12, "24397658e": 13, "244": 8, "24410035e": 13, "245691": 13, "246": 8, "24706573e": 13, "247066": 13, "247748": 12, "24780752e": 13, "248": 8, "24878839": 8, "24f73f442735": 14, "24latitud": 13, "24long_nam": [9, 13], "24step": 13, "25": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 15], "250": [6, 8], "250000e": 6, "2505205": 12, "250e6": 6, "250km2": 6, "251": 8, "251144": 13, "251model": 8, "252": 8, "252113": 13, "2526": 9, "253": 4, "254": 8, "255": [8, 13], "256": 15, "256274": 13, "2568": 9, "256b": 15, "257": 8, "257223563": 4, "259": 8, "25901084e": 13, "259920": 15, "259920grib_typeoflevel": 15, "25bc6358": 1, "25forecastmonth": 13, "25time": 13, "25x25": 3, "25\u00ba": 3, "25\u00bax0": 3, "26": [1, 2, 6, 8, 9, 10, 11, 12, 13, 15], "260540": 15, "260540grib_datatyp": 15, "26056": 9, "261": [8, 9, 10, 11], "261latitud": 10, "262844": 12, "263": [8, 9, 11], "263200": 10, "26367290e": 13, "26378728e": 13, "265": [8, 9], "26567337e": 13, "26654": 9, "267": 8, "2678400000000000": 13, "268": 9, "269": [8, 9], "269135": 12, "26988797e": 13, "2699": 11, "27": [1, 6, 8, 9, 10, 11, 12, 13, 15], "270": [4, 5, 8, 9], "2708144": 11, "271": [4, 9], "272": [8, 9], "273": [1, 8, 9, 10, 11, 12], "27389615e": 13, "274": 8, "27466": 9, "27499999999986": 6, "27499999999998": 6, "274e": 13, "276": 8, "277": 9, "27704339": 8, "27728": 9, "278": [8, 9], "278500e": 6, "27865607e": 13, "279": 9, "279125e": 6, "27975": 9, "279984": 9, "27998734": 9, "279999": 9, "28": [6, 8, 9, 10, 11, 12, 13, 15], "280": [8, 9], "280014": 9, "280819": 12, "281": 9, "28111932e": 13, "281457": 4, "28157748e": 13, "282": [8, 9, 12, 15], "284": 8, "28418354e": 13, "285": [8, 9], "28569225e": 13, "286": 9, "28685724e": 13, "287": [8, 9, 11], "28775": 1, "28778": 9, "28798105e": 13, "288": 9, "28876": 9, "289": [8, 9], "28950126e": 13, "28long_nam": 9, "28t00": 6, "28zcreator_nam": 4, "29": [3, 6, 8, 9, 11, 12, 13, 14, 15], "291": 8, "29245683": 8, "293": 8, "294": 10, "29435204e": 13, "294592": 12, "29471": 12, "295": 8, "29670030e": 13, "296875e": 6, "297": 8, "298": 4, "299": 8, "29911779e": 13, "29922594e": 13, "29arrai": 12, "29experi": 8, "29nco": 6, "29t00": 6, "2activity_id": 8, "2b12b5db6db112aa8b8b0d6c1645b121titl": 8, "2cell_method": 3, "2coordin": 9, "2d": [9, 12], "2e1a3b4d": 5, "2f": 12, "2gb": 3, "2grib_centr": [1, 6], "2lat": [4, 8], "2lon": 3, "2m": [1, 9, 10, 12], "2m_air_temperatur": 9, "2m_temperatur": [0, 1, 10, 11, 12, 14], "2mb": 15, "2nd": 4, "2x2": [3, 4], "2y": 2, "3": [0, 1, 3, 4, 5, 6, 8, 9, 11], "30": [0, 1, 3, 4, 6, 8, 9, 10, 11, 12, 13, 15], "300": [8, 9], "3000": 6, "3000coordin": 6, "30040681e": 13, "302": 8, "30240": 11, "30240coordin": 11, "30316357e": 13, "30361663e": 13, "304": [8, 14], "30437": 14, "304777": 13, "30483": 12, "30582919e": 13, "306": [8, 13], "30674171e": 13, "30701371e": 13, "30734656": 12, "30798225e": 13, "308": 8, "30803878e": 13, "309": 12, "30906576e": 13, "30long_nam": 6, "30t00": 6, "30t21": 11, "30t22": 11, "30t23": 11, "30th": 15, "31": [3, 4, 6, 8, 9, 12, 13, 15], "310": 8, "3107107": 8, "312": 8, "312095": 13, "3125": 8, "31278441e": 13, "313312e": 6, "314": 8, "314031e": 6, "3142": 12, "315": 8, "31656388e": 13, "317": 8, "31701471e": 13, "3183903": 8, "319": 8, "31915": 9, "319225": 1, "319225grib_typeoflevel": 1, "319992": 9, "31999588": 9, "31arrai": 13, "31xarrai": 13, "32": [3, 8, 9, 11, 12, 13, 15], "320023": 9, "320877": 12, "321": [8, 11], "322693": 12, "323": 8, "323099": 13, "32349695e": 13, "324112": 13, "324493": 12, "32499999999986": 6, "32499999999997": 6, "325": 8, "326": 11, "326062": 13, "326324": 12, "327": 8, "32861080e": 13, "329": 8, "32b": 4, "32latitud": 15, "33": [1, 3, 6, 8, 9, 10, 11, 12, 13], "330": [6, 8], "33036985": 8, "330latitud": 6, "331": 4, "332": 8, "334": 8, "335": 9, "33535187": 8, "336": [8, 9], "338": 8, "33804": 9, "338903": 10, "34": [1, 8, 9, 10, 12, 13, 15], "340": 8, "34042": 9, "341": 1, "342": 8, "343750e": 6, "344": 8, "345": 8, "347": [8, 12], "349": 8, "35": [0, 8, 9, 10, 12, 13, 14], "350": 13, "35066": 12, "351": 8, "35157198e": 13, "353": 8, "35327": 9, "35360457e": 13, "35488986e": 13, "355": 8, "356": 13, "357": [8, 13], "35764885": 11, "35767": 9, "358": [2, 13], "359": [1, 8, 10, 13, 14, 15], "359375e": 6, "359985": 9, "3599968": 9, "36": [8, 9, 10, 12, 13], "360": [0, 1, 2, 4, 8, 10, 12, 13, 14, 15], "3600": 1, "360001": 9, "36001587": 9, "360016": 9, "36023": 9, "3606": 13, "3607": 13, "36082827": 8, "360coordin": 13, "360grib_ni": 13, "360lon": 4, "360month": 4, "361": 15, "361grib_cfnam": 15, "361longitud": 15, "36220790e": 13, "365": 15, "36504047": 8, "36655": 12, "367": [3, 4], "3684943": 14, "37": [1, 6, 9, 10, 12, 13], "370852": 13, "3714578": 11, "371737": 13, "371893": 12, "373": 4, "374": 4, "37470990e": 13, "37499999999986": 6, "37499999999997": 6, "375": [3, 8], "375000e": 6, "375141e": 6, "37784": 9, "38": [3, 8, 9, 10, 12, 13], "38139167e": 13, "38251": 12, "38479960e": 13, "38621803e": 13, "38635866": 8, "386mb": 4, "38916422": 8, "38bound": 8, "38grib_nam": [6, 15], "39": [6, 8, 9, 10, 12, 13], "39295861": 8, "39393187": 11, "39395087": 8, "39447620e": 13, "395": 4, "396": 12, "3965": 1, "396coordin": 12, "397": 9, "39707069": 8, "39758": 9, "398": 4, "39895096e": 13, "39925938e": 13, "39991441e": 13, "39997864": 9, "39998245": 9, "399994": 9, "3c8db8": 15, "3d35a8d3": 9, "3frequenc": 8, "3kb": [4, 15], "3m": [12, 14], "3pb": 8, "3rd": 4, "3standard_name_vocabulari": 3, "4": [1, 2, 3, 4, 5, 6, 8, 9, 11, 15], "40": [1, 2, 8, 9, 10, 11, 12, 13, 15], "400": [3, 5, 9], "400009": 9, "4028234663852886e": [6, 15], "40302914e": 13, "403535": 13, "40482015e": 13, "405465": 13, "40564": 12, "405f": 14, "40709": 12, "40804": 6, "40804grib_typeoflevel": 6, "40854": 9, "408604": 12, "40e3": 6, "41": [4, 6, 8, 9, 10, 11, 13], "410347": 12, "410411": 13, "41071": 12, "41198": 12, "41219369e": 13, "413": 12, "413795": 12, "414043": 12, "41524857e": 13, "416": 2, "417": 2, "4174": 9, "41742": 12, "41cd": 9, "42": [3, 6, 8, 9, 10, 12, 13], "420856": 12, "421875e": 6, "42192488e": 13, "42228756": 8, "423": 4, "4233": 9, "42436": 12, "424999999999862": 6, "42499999999997": 6, "42521132e": 13, "426": 4, "427814": 12, "42a3": 3, "43": [6, 8, 9, 10, 13], "43029510e": 13, "43072262e": 13, "43094425e": 13, "43461576e": 13, "435": 13, "43528179e": 13, "435282": 13, "43627332e": 13, "4375": 8, "43893": 9, "43955638": 8, "439718": 13, "439766": 13, "439987": 9, "43b2": 1, "43da": 12, "44": [3, 8, 9, 10, 13], "440": 10, "440002": 9, "441003": 13, "44419199e": 13, "4461": 12, "44708": 9, "44717": 9, "447d": 10, "44855": 9, "449099": 12, "44a0f93ff2fd": 3, "44frequenc": 9, "45": [1, 2, 3, 4, 8, 9, 10, 12, 13, 15], "45046153e": 13, "451c": 9, "45326661e": 13, "454814": 13, "455": 5, "4567": 12, "45719889e": 13, "45752213e": 13, "457b": 11, "45882895e": 13, "45913109": 8, "459383": 13, "46": [8, 9, 10, 12, 13, 14, 15], "464062e": 6, "46575330e": 13, "46609431": 8, "466434": 12, "466719e": 6, "46757718e": 13, "468": 2, "4697785": 12, "46e1": 14, "47": [6, 8, 9, 10, 11, 12, 13, 14], "471": 9, "47201428e": 13, "47279885": 8, "477898": 13, "47789817e": 13, "478": 9, "478943": 12, "47947264e": 13, "479996": 9, "48": [1, 2, 6, 8, 9, 10, 13], "480": [2, 14], "480011": 9, "481": 14, "4824": 2, "482574": 12, "48425935": 8, "486498": 13, "4869": 5, "487048": 12, "48715": 9, "488007": 12, "48mb": 4, "49": [2, 6, 8, 9, 10, 12, 13], "49164": 12, "494429": 12, "495255": 12, "497": 3, "497699": 12, "49805": 9, "498886": 12, "4_1": 15, "4ac8": 10, "4cc4": 4, "4cd9": 8, "4coordin": 8, "4d46": 9, "4d462dd9c22dc3s_disclaim": 9, "4dac": 12, "4e533e38": 14, "4e68": 9, "4experi": 9, "4f9b": 4, "4gb": 3, "4kb": 3, "4lat": 4, "4m": [9, 11, 12, 14], "4mb": 4, "4th": 4, "5": [1, 2, 3, 4, 6, 8, 11, 14, 15], "50": [3, 4, 5, 8, 9, 10, 11, 12, 13], "500": 2, "500000e": 6, "500252": 12, "50045360e": 13, "50199825e": 13, "502": 5, "504": [3, 10], "504397": 12, "50494": 9, "504b": 3, "504coordin": 10, "504lat": 3, "504latitud": 10, "50504": 9, "506134": 12, "507": 11, "50715": 12, "50arrai": 13, "50long_nam": 13, "50th": [8, 11], "51": [5, 8, 9, 10, 11, 12, 13, 15], "510533": 13, "51172": 9, "515720": 13, "51618593e": 13, "516496": 12, "51972682e": 13, "51991082": 8, "519989": 9, "51c6d7": 15, "51forecastmonth": 13, "52": [9, 10, 13, 14, 15], "520004": 9, "52063": 9, "52182487": 8, "523": 4, "52499999999995": 6, "52499999999999": 6, "525": 6, "525000000000006": 6, "52562740e": 13, "525745": 12, "526": 10, "5270400000000000": 13, "529215": 12, "5299521": 8, "529q7bzs665bnrn7_wjx1nsr0000gn": 2, "53": [8, 9, 10, 12, 13, 14, 15], "5334": 9, "536046": 13, "536kb": 4, "53708520e": 13, "54": [3, 8, 9, 10, 12, 13], "54044": 9, "54050114e": 13, "54119631e": 13, "54138069e": 13, "541381": 13, "54177956": 8, "54190473e": 13, "541905": 13, "54313564": 11, "544": 2, "545": 2, "546": 10, "54614": 9, "54642af4": 10, "54715392": 8, "54921006e": 13, "54996033e": 13, "54z": 8, "55": [5, 8, 9, 10, 12, 13, 15], "550": 5, "5538": 9, "554085": 12, "559": 4, "559622": 12, "559982": 9, "559998": 9, "55df": 1, "56": [8, 9, 10, 12, 13], "560013": 9, "5618305": 12, "562": 8, "5625": 8, "564": [10, 11], "565": 1, "565coordin": 1, "565grib_cfnam": 1, "565grib_ni": 1, "565x": 1, "56683605e": 13, "56705768e": 13, "5676": [3, 4], "569952": 8, "56km": 4, "57": [8, 9, 10, 12, 13], "570733": 10, "57076709": 8, "57112824": 8, "572193": 13, "572601": 12, "57352018e": 13, "574989": 13, "57499999999945": 6, "57499999999996": 6, "57499999999999": 6, "574999999999992": 6, "575": 6, "575288": 13, "57698118e": 13, "57941866": 11, "57955248": 8, "57989827e": 13, "58": [3, 5, 6, 8, 9, 10, 12, 13], "58084508": 8, "58108662e": 13, "581223": 12, "58175664": 8, "58262304e": 13, "58457582e": 13, "589348": 12, "59": [1, 5, 6, 8, 9, 10, 12, 13], "59238e52132d": 8, "59238e52132dxarrai": 8, "59425743": 8, "594892": 13, "595067": 13, "59506733e": 13, "596119": 12, "59732": 9, "59972428e": 13, "599991": 9, "5ab4ac": 13, "5arrai": [8, 15], "5cdm_data_typ": 3, "5d": 4, "5gb": 14, "5grib_iscansneg": 15, "5grib_jpointsareconsecut": 15, "5grib_missingvalu": 15, "5latitud": 11, "5m": 14, "5platform": 3, "5th": [1, 10, 12], "5time": 11, "6": [1, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "60": [0, 1, 4, 5, 8, 9, 10, 12, 13], "600006": 9, "603": 3, "60403": 9, "604468": 13, "60446843e": 13, "606188": 12, "60718735e": 13, "60852": 9, "609414960047": 9, "61": [8, 10, 12, 13], "611440": 13, "612": 1, "612grib_latitudeofsouthernpoleindegre": 1, "613205": 13, "614394": 13, "615101": 3, "61570168": 11, "61686254e": 13, "61972281": 8, "62": [1, 3, 4, 8, 10, 13], "62080418e": 13, "6215": 1, "62456907e": 13, "62499999999945": 6, "62499999999997": 6, "624999999999993": 6, "625": [3, 6, 8], "625692": 12, "62745672": 8, "63": [8, 10, 12, 13, 15], "63241124e": 13, "63260617e": 13, "63318635": 8, "63420080e": 13, "634245": 12, "635535": 12, "636729": 13, "63717372e": 13, "6378137": 4, "637873": 13, "63882169e": 13, "638822": 13, "639984": 9, "639999": 9, "63arrai": 8, "63xarrai": 8, "64": [8, 9, 10, 13], "64217012e": 13, "64325": 9, "64400074e": 13, "64624e5ec7e4": 10, "64853": 9, "64bd6b2167b7": 2, "65": [3, 8, 10, 13], "651366": 12, "65160": 13, "65160grib_typeoflevel": 13, "652": 14, "6520195": 12, "652505": 12, "65340704": 8, "6545": 9, "656250e": 6, "65744156": 8, "66": [8, 10, 13], "66143938e": 13, "66628949e": 13, "669517": 13, "66951721e": 13, "67": [10, 13], "6703725": 1, "670577": 13, "67133": 9, "671638": 12, "671875e": 6, "6721": 9, "673555": 13, "67499999999944": 6, "67499999999998": 6, "674999999999994": 6, "675": 6, "67505759e": 13, "67523": 9, "675772": 13, "676250e": 6, "67749284e": 13, "67884414e": 13, "6793": 9, "679977": 9, "67mb": 15, "68": [1, 4, 8, 10, 13], "680008": 9, "68234": 9, "683": 4, "684": 10, "68438258e": 13, "68558": 9, "686103": 12, "686947": 12, "6875": 8, "687500e": 6, "687653": 12, "688": 8, "688131": 12, "688281e": 6, "689120": 13, "689e": 4, "68b8": 10, "68grib_longitudeofsouthernpoleindegre": 1, "69": [8, 10, 12, 13], "6908": 9, "69144": 9, "6924": 14, "692666": 13, "693814": 12, "69432393": 8, "6968975": 12, "697": 13, "697611": 12, "69956510e": 13, "69983418": 8, "6af9": 3, "6arrai": 13, "6cdm_data_typ": 4, "6histori": [10, 11, 12], "6instrument_vocabulari": 4, "6kb": [3, 15], "6latitud": 13, "6long_nam": 13, "6m": [11, 14], "6mb": 3, "6time": 13, "6variable_id": 4, "7": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 15], "70": [2, 4, 8, 10, 13], "700156": 12, "70048384e": 13, "70142": 12, "702868": 12, "70350409e": 13, "70358": 9, "70358213e": 13, "70392": 9, "70444031e": 13, "704442": 5, "704455": 13, "707721": 10, "70865903e": 13, "70996658e": 13, "71": [8, 10, 13], "712927": 12, "71296322e": 13, "71776501": 8, "71822193e": 13, "718222": 13, "718750e": 6, "719": 11, "719986": 9, "72": [1, 2, 8, 10, 13, 15], "720": [3, 4, 15], "7200": 6, "720001": 9, "7200latitud": 6, "720coordin": 4, "720dask": [4, 15], "720grib_ni": 15, "720nb2": 3, "721": [10, 12], "72128296": 12, "72147": 9, "721longitud": 12, "721time": 12, "723602": 12, "724": 9, "72499999999944": 6, "724999999999994": 6, "725": 6, "72511443e": 13, "725418": 12, "725807": 12, "726238": 12, "7267222": 12, "7272064": 12, "727234": 12, "72756857": 12, "7276896": 12, "727703": 12, "7279307": 12, "72905": 12, "72km": 11, "73": [8, 13], "730": 9, "730865": 12, "731902": 12, "7321472": 12, "732666": 12, "735202": 13, "73531158": 8, "736965": 12, "7376": 12, "73760986": 12, "738835": 13, "73977053": 12, "74": [8, 13], "74001056": 12, "74019164": 12, "7403127": 12, "74037373": 12, "7404948": 12, "741149": 12, "741443": 13, "74176984e": 13, "742425": 15, "74307957e": 13, "743765": 12, "744b": 4, "74548139e": 13, "74554": 9, "74624459e": 13, "74754211e": 13, "74816996": 12, "7482": 12, "74847": 9, "75": [1, 2, 4, 8, 10, 11, 12, 13], "75191983e": 13, "7532": 9, "75345993e": 13, "75399058": 8, "75464": 9, "756000": 11, "75888": 9, "759936": 8, "759979": 9, "75999451": 9, "759998": 9, "75long_nam": 4, "76": [8, 9, 13], "76001": 9, "76205": 9, "76490545": 11, "76505938e": 13, "76511278": 8, "7674": 9, "76771": 12, "7688": 9, "77": [8, 13], "77008": 9, "77021": 4, "771381": 13, "771439": 13, "772227": 15, "77414429e": 13, "77499999999944": 6, "77499999999995": 6, "77499999999999": 6, "774999999999995": 6, "775": 6, "775000000000006": 6, "775023": 13, "77548": 9, "77713808e": 13, "777739": 12, "77934": 12, "78": [8, 12, 13, 14], "780967": 12, "781250e": 6, "7819019": 4, "78436": 9, "78597346": 8, "78725520e": 13, "787e": 13, "78937": 12, "79": [8, 13], "79239638": 8, "794726": 13, "7948800000000000": 13, "796": 5, "79825": 9, "79893981e": 13, "798983": 13, "79933402e": 13, "79998779": 9, "799988": 9, "79999924": 9, "7experi": 8, "7institut": [1, 6, 13], "7m": 2, "7product_vers": 4, "8": [1, 2, 3, 4, 6, 8, 9, 10, 11, 12, 13, 15], "80": [8, 13, 15], "800003": 9, "80118847": 11, "801527": 12, "80225": 9, "80415074e": 13, "80541995e": 13, "805420": 13, "806250e": 6, "80722": 9, "80780940e": 13, "80927595e": 13, "81": [4, 8, 13], "81168924e": 13, "812": 8, "812478": 12, "8125": 8, "812500e": 6, "813": 9, "81375": 9, "815": 15, "81518167e": 13, "81555051e": 13, "817150": 13, "81782522e": 13, "8192": 15, "81951088e": 13, "82": [4, 13], "820597": 12, "8226": 9, "82400983e": 13, "82474": 9, "82482229e": 13, "82499999999943": 6, "82499999999996": 6, "82499999999999": 6, "824999999999996": 6, "825": 6, "826230": 13, "82824200e": 13, "82e47200": 2, "83": [8, 13], "83006099e": 13, "831797": 13, "83179704e": 13, "833183": 13, "83453575e": 13, "835": 9, "83622129e": 13, "836803": 13, "8375": 10, "839981": 9, "83998489": 9, "84": [6, 8, 9, 12, 13], "840012": 9, "84104106e": 13, "8415": 12, "841835": 13, "84227245e": 13, "843": 5, "845758": 13, "84593831e": 13, "84coordin": 12, "84latitud": 12, "85": [4, 6, 8, 13, 15], "85077": 9, "85105331e": 13, "853113": 13, "85357666": 12, "8536": 12, "854360": 13, "856923": 13, "85752883e": 13, "85794": 9, "8590088": 12, "86": [4, 8, 13, 15], "86291007e": 13, "863": 9, "86400000000000": 6, "868572": 13, "87": [3, 4, 6, 8, 12, 13, 15], "87212160": 12, "872920": 13, "87499999999943": 6, "87499999999997": 6, "874999999999996": 6, "875": [3, 6, 8], "878968": 12, "879974": 9, "87999344": 9, "879997": 9, "88": [3, 4, 6, 8, 9, 12, 13, 15], "880005": 9, "8807678": 12, "8825989": 12, "88331830e": 13, "88543605e": 13, "88729198e": 13, "88fa": 9, "88standard_nam": 3, "89": [3, 4, 6, 8, 12, 13, 14, 15], "89143": 12, "89466882e": 13, "8952637": 12, "89856": 9, "89889526": 12, "89ec": 12, "8aa5": 14, "8arrai": 9, "8b": 15, "8gb": 14, "8kb": 3, "8long_nam": [4, 9], "8unit": 12, "9": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 15], "90": [2, 3, 4, 5, 8, 9, 10, 12, 13, 15], "90099732e": 13, "9012": 9, "90204": 9, "90243505e": 13, "903169": 13, "903844": 13, "905542": 13, "90554220e": 13, "906250e": 6, "908": 9, "909": 5, "90th": [8, 15], "90\u00ba": 12, "91": [3, 4], "91021711e": 13, "91195956e": 13, "912629": 13, "912935": 12, "91395754e": 13, "91440252e": 13, "91446030e": 13, "919968": 9, "919998": 9, "91ca0c5faf02": 5, "92": [6, 8, 13], "920029": 9, "92021130e": 13, "92369229e": 13, "923a8": 14, "92434169e": 13, "92499999999943": 6, "92499999999998": 6, "924999999999997": 6, "925": [6, 9], "92688": 9, "9318664": 1, "93230995e": 13, "93417": 9, "934471": 13, "9375": 8, "93917768e": 13, "93942580e": 13, "94": [6, 8], "94035350e": 13, "946277": 13, "946688": 13, "948807": 13, "94892476e": 13, "95": [3, 4, 5, 6, 12, 14], "95039225": 11, "951699": 13, "952229444": 9, "952308195": 9, "953027": 12, "953045": 12, "954252": 12, "95467550e": 13, "95482877e": 13, "95524938e": 13, "955912512": 2, "957": 12, "9573": 11, "9581027": 14, "959976": 9, "95arrai": 12, "96": [3, 4, 8], "960007": 9, "96056521e": 13, "96725": 9, "968750e": 6, "96891203e": 13, "96b": 4, "97": [6, 13], "97020974e": 13, "971702e": 6, "971944e": 6, "97198316e": 13, "972": 12, "97388346e": 13, "974010": 13, "97499999999943": 6, "974999999999994": 6, "974999999999998": 6, "975": 6, "975grib_longitudeoffirstgridpointindegre": 6, "975grib_longitudeoflastgridpointindegre": 6, "978": 12, "97standard_nam": 6, "98": [4, 6, 8, 15], "98003727": 8, "980164": 12, "98274860e": 13, "98667526": 11, "987883": 12, "989398": 13, "98958882e": 13, "98fa": 9, "98unit": 6, "99": [3, 4], "990015": 10, "990100": 13, "99031691e": 13, "99038445e": 13, "990f3656": 11, "991144": 12, "991822": 12, "992259": 13, "992594": 13, "99498459e": 13, "997243": 13, "99740103e": 13, "997631": 13, "99896": 9, "999": 3, "999144": 13, "9999": [1, 13], "999969": 9, "9999grib_nam": [1, 13], "99cell_method": 3, "9a09": 12, "9ba9": 1, "9bff7": 14, "9cf4": 11, "9e1b": 14, "9ee27f5815cd": 10, "9gdal_pcraster_valuescal": 6, "9standard_nam": 3, "A": [3, 4, 5, 6, 8, 10, 12, 13, 14], "And": [2, 9, 12], "As": [0, 4, 5, 8, 9, 10, 11, 12, 13, 14], "At": [0, 1, 2, 3, 4, 6, 7, 10, 11, 12, 13, 14, 15], "BY": 1, "But": 9, "By": [8, 10, 13], "FOR": 8, "For": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 12, 13, 14, 15], "If": [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 12, 13, 14, 15], "In": [0, 1, 2, 3, 4, 5, 8, 9, 10, 11, 13, 14, 15], "It": [0, 1, 2, 3, 4, 8, 14], "NO": 9, "Near": [4, 8, 9, 10, 13], "Not": [8, 12], "OF": 9, "On": 3, "One": [1, 4, 8, 10, 11, 12, 15], "That": 3, "The": [0, 1, 2, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "Their": 15, "Then": [3, 4, 12, 15], "There": [0, 2, 3, 6, 8, 12], "These": [0, 1, 2, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14], "To": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "With": [3, 4, 9, 10, 12, 13], "_": [1, 2, 3, 8, 14], "__init__": 12, "_as_gen": 12, "_hindcast": 14, "_monthli": 14, "_monthly_1991": 12, "_r": [3, 12], "_stmonth": 14, "_weeklyt": 15, "a028": 2, "a079df20ec71": 1, "a2": 3, "a627": 8, "a6d7db": 15, "a81f": 12, "a87b": 12, "a8f2": 4, "ab817712": 3, "abid": 9, "abil": [4, 10], "abl": [0, 3, 5, 11, 15], "about": [4, 5, 7], "abov": [0, 1, 3, 4, 6, 8, 9, 10, 11, 12, 13, 14, 15], "abscissa": 4, "absenc": [8, 14], "absolut": 10, "absorb": 4, "ac": 8, "acceler": 4, "accept": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "access": [1, 3, 4, 5, 7, 8, 10, 11, 12, 13, 14, 15], "accord": [1, 3, 4, 5, 8, 9], "accordingli": 12, "account": [0, 2, 3, 4, 7, 8, 10, 11, 12, 13, 14, 15], "accross": 6, "accumul": 11, "accur": [1, 5, 9], "acdd": 3, "achiev": 5, "acknowledg": [4, 8, 15], "across": [4, 8, 10], "activ": [4, 10, 12, 15], "activity_id": 8, "actual": [9, 12, 13, 15], "actual_rang": 4, "ad": [0, 5, 9, 12, 15], "ad2124": 15, "adapt": [5, 7], "adaptor": [1, 11, 12, 14], "add": [2, 3, 4, 5, 6, 8, 9, 10, 12, 13, 14, 15], "add_ax": [4, 5, 13], "add_colorbar": [5, 15], "add_featur": [2, 3, 6, 14, 15], "add_label": [5, 15], "add_subplot": [3, 6], "addit": [2, 3, 4, 5, 6, 9, 10, 13, 14, 15], "addition": [10, 13, 14], "additon": 13, "adjust": 3, "advanc": [3, 4], "advect": 4, "advis": 15, "ae10": 4, "aerosol": 8, "aersub_experi": 8, "affect": [3, 13, 15], "afr": 9, "afr019_igm44refer": 9, "africa": [4, 9], "african": 3, "after": [1, 2, 3, 4, 5, 6, 8, 10, 11, 12, 13, 14, 15], "afterward": 3, "again": [1, 9, 10, 12, 13], "against": [6, 14], "aggr": 14, "aggreg": [3, 9, 12, 13, 14], "aim": 3, "air": [1, 5, 8, 9, 11, 12], "air_temperatur": 9, "air_temperaturelong_nam": 8, "air_temperatureunit": 9, "al": 2, "albedo": 3, "algebra": 5, "algorithm": [3, 4], "alia": 3, "align": [4, 14], "all": [1, 2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14], "allow": [0, 4, 5, 6, 10, 12, 13, 14], "almost": 3, "along": [2, 4, 5, 9, 12, 15], "alpha": [1, 2, 3, 4, 6, 8, 9, 10, 11, 12, 13, 15], "alreadi": [1, 2, 3, 4, 5, 6, 10, 11, 12, 13, 14, 15], "also": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15], "alter": [5, 8], "altern": [1, 4, 10], "although": 15, "altitud": [4, 5], "alwai": 0, "amazonaw": 12, "ambigu": 13, "amend": 12, "america": 4, "american": [1, 3], "amj": 13, "among": [4, 14], "amontable_info": 8, "amount": [3, 4], "amplitud": 4, "amsr": 4, "an": [0, 1, 2, 3, 4, 7, 9, 10, 11, 12, 13, 14, 15], "anaconda": [2, 7, 14], "anaconda3": [1, 10, 11, 12, 15], "analys": [3, 4, 5, 10, 11, 15], "analysi": [3, 6, 7], "anchor": [2, 10], "ancillary_vari": 4, "anemomet": 1, "angl": 4, "angrib_numberofpoint": 1, "ani": [2, 3, 4, 5, 7, 8, 9, 14, 15], "anim": [4, 10], "anlys": 4, "annot": 11, "announc": 12, "annual": [2, 3, 4, 10], "anom": [12, 14], "anom_2016": 10, "anom_3m": 14, "anom_aug": 10, "anom_hindcast": 13, "anom_hindcast_tp": 13, "anom_month": 10, "anomal": [3, 10, 12], "anomali": [4, 6, 7], "anomaly_2003": 3, "anoms_sasia": 13, "anoms_sasia_df": 13, "anoms_sasia_m_yr": 13, "anoth": [2, 3, 4, 10, 12, 13], "answer": 11, "antarct": 5, "antarctica": 2, "antartica": 5, "anthropogen": [4, 10, 12], "anticyclon": 3, "anymor": 14, "aod": 3, "aogcm": 8, "apach": [0, 8, 9, 13], "api": 7, "apikei": 12, "appar": 10, "appcach": 4, "appdata": [10, 11, 12], "appear": [0, 1, 2, 3, 4, 5, 10, 11, 12], "append": [6, 8, 14, 15], "appli": [1, 3, 4, 6, 8, 9, 10, 11, 12, 13, 14], "applic": [0, 1, 2, 3, 4, 6, 7, 9, 10, 11, 12, 14, 15], "application_1608030060513_159307": 4, "approach": [5, 14], "appropri": [2, 4, 14], "april": [3, 4, 5, 13, 14], "aqua": 4, "ar": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "arang": [4, 5, 6, 8, 11, 12, 13], "arc": 10, "arc_anom": 10, "arc_clim": 10, "arc_d": 10, "arc_da": 10, "arc_fil": 10, "arc_mean": 10, "arc_season": 10, "arc_subset": 10, "arc_weight": 10, "arc_yearli": 10, "archiv": [0, 1, 2, 3, 4, 8, 9, 13], "arctic": 5, "arctic_season": 10, "arctic_t2m_anom_bar": 10, "area": [0, 1, 2, 3, 4, 5, 8, 9, 10, 11, 12, 13, 15], "areacellaforcing_index": 8, "areacellahistori": 8, "areagd": 6, "argmax": 4, "argmin": 4, "argument": [0, 3, 4, 10, 11, 13], "aris": 8, "around": [2, 4, 5, 6, 8, 10, 11, 14], "arrai": [1, 2, 3, 4, 6, 8, 9, 10, 11, 12, 14, 15], "arrang": [13, 14], "art": [10, 12, 13, 14], "articl": 14, "artist": 11, "as_sourc": 10, "ascend": 2, "asia": [3, 4, 13], "ask": 14, "aso": 13, "aspect": [5, 14], "assess": [1, 6, 9], "assign": [6, 9, 10, 13, 14], "assign_attr": [6, 10, 12, 14], "assign_coord": [6, 8, 10, 12, 13, 14], "assimil": [10, 12], "associ": 4, "assum": [3, 14], "astyp": [11, 12], "atacama": 3, "atbd": 4, "atla": 2, "atlant": [3, 4], "atmo": 8, "atmoschem": 8, "atmospher": [2, 3, 4, 5, 13, 14], "atmosphere_mole_content_of_ozon": 5, "atmosphere_water_vapor_cont": 4, "atmossourc": 8, "attach": [5, 6], "attempt": [8, 13], "attr": [6, 8, 10, 12, 13], "attribut": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 15], "aug": 10, "august": [3, 4, 10, 14], "austral": [4, 5], "australia": 4, "auto": [4, 5, 14], "autocorrel": 4, "automat": [0, 10, 13, 14], "autumn": [3, 4, 10], "auxilari": 6, "auxiliari": [2, 6], "avail": [0, 1, 2, 3, 4, 7, 8, 9, 12, 13, 14, 15], "avalu": 14, "averag": [1, 2, 5, 9, 10, 11, 12, 14], "averageunit": 3, "avg": 12, "avg_per_month_clim": 12, "avggrib_gridtyp": 6, "avhrr": 3, "avoid": [6, 13], "aw": 1, "awar": 6, "ax": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "ax1": [2, 4], "ax2": 4, "ax3": 4, "ax4": 4, "ax5": 4, "axhlin": 12, "axi": [2, 3, 4, 6, 8, 10, 12, 13, 15], "b": [3, 4, 6, 9, 11, 13, 14, 15], "b19f6b3d": 9, "b46e2bf": 12, "b5fd": 3, "b6959414": 8, "b8af": 10, "bab6": 2, "back": 11, "backend_kwarg": [13, 14], "background": 12, "backscatt": 5, "bad_qual": 4, "bad_qualityflag_valu": 3, "band": 4, "band1": 6, "bangladesh": 6, "bar": [2, 3, 4, 6, 10, 12, 13, 15], "barcontain": 11, "base": [0, 2, 3, 4, 5, 7, 10, 12, 13, 15], "baseexcept": 14, "basenam": [8, 9], "basi": 4, "batch": 8, "bba7": 9, "bbox_inch": 2, "bc": 9, "bc29b861d96d": 14, "bd7e7a603f2a": 12, "becaus": [2, 5, 12], "becom": 5, "been": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 14, 15], "befor": [0, 1, 2, 4, 6, 8, 9, 10, 11, 12, 13, 14, 15], "began": [6, 11], "begin": [1, 4, 6, 8, 9, 10, 11, 12, 13, 15], "behavior": 5, "behaviour": 13, "behind": [12, 14], "being": [0, 3, 15], "belgium": 11, "below": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "best": [1, 2, 3, 4, 6, 8, 10, 11], "beta": [0, 1, 2, 8, 9, 10, 11, 12, 13, 14, 15], "better": [5, 10], "between": [2, 4, 10, 11, 12, 13, 15], "beyond": 14, "bf": [2, 4, 14], "bf01": 5, "bg466nominal_resolut": 8, "bia": 5, "bias": [9, 13], "biggest": 2, "bin": [6, 11, 12], "bin_edg": 14, "binari": 14, "binder": [7, 12], "black": [0, 1, 2, 4, 6, 8, 9, 10, 12, 13, 14, 15], "blank": 5, "block": [1, 2, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "blue": [4, 6, 8, 10, 12, 15], "bmh": 12, "bnd": [8, 9], "bo": 11, "board": 2, "bodi": 1, "bold": 15, "book": 6, "boolean": [6, 10], "boom": 3, "border": [3, 6, 14, 15], "boreal": [4, 5], "both": [0, 1, 2, 3, 4, 6, 9, 10, 12, 13, 14, 15], "bottom": [2, 3, 4, 5, 13], "bottom_label": 3, "bound": [0, 3, 6, 8, 13, 14, 15], "boundari": [4, 5, 9, 13, 14], "boundariescom": 4, "boundariesvalid_rang": 4, "boundarynorm": 15, "box": [0, 6, 13], "bracket": [9, 13], "branch_method": 8, "branch_time_in_child": 8, "branch_time_in_par": 8, "brazil": 4, "break": 11, "briefli": [8, 12], "brier": 14, "brier_scor": 14, "bring": [10, 12], "brockmann": 4, "broker": [2, 4], "brows": [0, 7], "browser": 0, "bscat": 14, "budget": [4, 7], "build": [1, 5, 8, 9, 10, 11, 12, 13, 14, 15], "built": [2, 4, 10, 13, 15], "bulletin": 1, "burnt": 15, "burst": [13, 14], "button": [0, 2, 4], "bwr_r": 13, "by_label": 13, "byte": [3, 4, 15], "c": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "c3": [0, 1, 2, 3, 4, 8, 9, 13, 14, 15], "c3s_34d": 9, "c3s_comment": 9, "c3s_disclaim": 9, "c4820a3daea": 9, "c5fe83e2": 10, "c_season": 4, "ca": 9, "cach": [1, 2, 9, 11, 12, 14], "caconvent": 9, "cadspi": 5, "calcual": 6, "calcul": [4, 6, 7, 9, 11, 14], "calendar": [13, 14], "calibr": 3, "call": [1, 2, 8, 9, 10, 11, 12, 13, 14], "callabl": [8, 9], "cam": 7, "cambridg": 2, "can": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "canada": [1, 9], "canadian": [9, 15], "canesm2": 9, "canesm2_histor": 9, "canesm2_rcp45": 9, "canesm2driving_experiment_nam": 9, "canesm2experiment_id": 9, "cannot": [2, 9], "canrcm4": 9, "canrcm4rcm_version_id": 9, "captur": 5, "carbon": 4, "care": [5, 14], "cart": 15, "cartopi": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "case": [1, 4, 5, 6, 8, 10, 11, 12, 13], "cat": 14, "catalogu": [2, 3, 4, 5, 6], "categor": 14, "categori": [0, 1, 6, 9, 13], "category_edg": 14, "cater": 14, "catnam": 14, "catropi": 2, "caus": 3, "cax": [4, 5, 13], "cb": [2, 14], "cbar": [1, 3, 4, 5, 6, 9, 10, 12, 13, 15], "cbar_ax": [4, 5, 13], "cbar_label": 6, "cbar_tick": 15, "cbar_titl": 15, "cc": 1, "cccma": 9, "cccma_canesm2": 9, "cccma_canrcm4": 9, "cccma_info": 9, "cccmacontact": 9, "cci": 4, "ccr": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "cd": 6, "cdi": 6, "cdm": [1, 6, 13], "cdo": [6, 12], "cdr": 2, "cdsapi": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "cdsapi_kei": 14, "cdsapi_kwarg": [6, 15], "cdsapi_url": 14, "cdsapirc": [0, 6, 15], "cdsapp": 4, "cell": [1, 2, 4, 6, 8, 9, 10, 11, 12, 13, 14, 15], "cell_method": [8, 9], "cellunit": 4, "celsisu": 9, "celsiu": [1, 9, 11], "cem": [6, 15], "center": 2, "centr": [6, 8, 9, 13, 14, 15], "central": [3, 4, 15], "central_latitud": 10, "certain": 3, "certifi": [1, 10, 11], "cf": [1, 3, 4, 6, 8, 9, 10, 11, 12, 13], "cf3f88ba": 12, "cfc11": 9, "cfc12": 9, "cfeatur": [1, 2, 3, 6, 8, 9, 10, 11, 13, 14], "cfgrib": [1, 6, 13, 14], "cftime": [8, 9], "ch4": 9, "chanc": 4, "chang": [0, 1, 2, 3, 4, 5, 8, 11, 14, 15], "chapter": 2, "charact": [1, 2, 6, 8, 10, 11, 12, 15], "character": 5, "characteris": 5, "characterist": [4, 9, 10], "chardet": 11, "charg": [3, 4], "charset": [1, 10], "chart": [1, 10, 11, 13], "check": [6, 12, 14, 15], "chichon": 2, "chname": 6, "choic": 8, "choos": [0, 4, 5, 6, 11, 12, 13, 15], "chose": 6, "chosen": [0, 6, 12], "chunk": [3, 4, 8, 14, 15], "chunksiz": [3, 4, 15], "chunktyp": [4, 15], "cice": 8, "circl": 13, "circul": 9, "citat": [3, 4, 8, 15], "citi": 11, "clara_a3": 3, "clara_avhrr": 3, "claus": 8, "clean": 4, "clear": [3, 7, 10], "clearli": [5, 10], "clev": 4, "click": [0, 2, 3, 4, 5], "client": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "clim": [12, 15], "clim_month": 10, "clim_month_weight": 10, "clim_period": 10, "clim_rep": 12, "clim_std": 10, "clim_std_weight": 10, "clima": [3, 15], "climat": [2, 3, 4, 6, 14], "climate_data_record_typ": 3, "climatolog": [3, 6, 12], "climatologi": [1, 6, 7, 14, 15], "clone": [2, 12, 14], "clong_nam": 12, "close": [3, 4, 11], "closer": 13, "cloud": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15], "cloud_over_land": 4, "cloudi": 3, "cloudless": 2, "cm": [2, 4], "cm4": 8, "cm5": 8, "cm6a": 8, "cmap": [1, 2, 3, 4, 5, 6, 9, 10, 12, 13, 14, 15], "cmcc": 14, "cmcc_s35_stmonth03_hindcast1993": 14, "cmip": 8, "cmip6": 7, "cmip6_agg": 8, "cmip6_agg_": 8, "cmip6_annual_global_ta": 8, "cmip6_monthly_1850": 8, "cmip6_monthly_2015": 8, "cmip6_nc": 8, "cmip6_nc_rel": 8, "cmip6_zip_path": 8, "cmip6mo_runid": 8, "cmip6parent_source_id": 8, "cmip6variable_id": 8, "cmipbranch_method": 8, "cmipparent_experiment_id": 8, "cmor": 8, "cmor_vers": 8, "cmsaf": [3, 4], "cmsaf_hoap": 4, "cmsaf_hoaps_05deg_2002": 4, "cmsaf_l2_processor": 3, "cmsaf_l3_processor": 3, "cmsaf_platform_and_orbit": 3, "cmsafesa_filenam": 4, "cmsafgacl3_v3": 3, "cmsafproject": 3, "cmsafpublisher_email": 4, "cmsafpublisher_nam": 4, "co": [2, 4, 8, 10, 11, 12, 13], "co2": 9, "coarser": 8, "coast": [4, 5, 9], "coastal": 4, "coastlin": [1, 2, 3, 4, 5, 6, 9, 10, 12, 13, 14, 15], "code": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15], "coher": 13, "col": 4, "colab": 7, "colder": 12, "coldest": 1, "collect": [4, 5, 8, 10, 12, 13], "color": [1, 2, 3, 4, 6, 8, 9, 10, 11, 12, 13, 14, 15], "colorama": [1, 10], "colorbar": [1, 2, 3, 4, 5, 6, 9, 10, 12, 13, 14, 15], "colormap": [2, 3, 4, 12, 15], "colour": [2, 4, 5, 6, 8, 12, 13, 15], "colourbar": 10, "colum": [5, 10], "column": [7, 10, 13], "com": [6, 12], "combi_tcwv_climatologi": 4, "combi_tcwv_global_monthly_climatologi": 4, "combi_tcwv_global_timeseri": 4, "combi_tcwv_monthly_climatologi": 4, "combi_tcwv_seasonal_climatologi": 4, "combi_tcwv_timeseries_climatologi": 4, "combin": [1, 2, 3, 4, 10, 13], "combust": 15, "come": [2, 3, 13, 14], "comfort": 3, "command": [1, 3, 5, 6, 8, 10, 11, 12], "comment": [3, 4, 6, 12], "commiss": [6, 15], "common": [0, 1, 3, 4, 5, 6, 7, 8, 13, 15], "commonli": [1, 4, 5, 8, 10, 11, 12], "comp": 6, "compar": [5, 9, 10, 12, 14], "comparison": [4, 6, 9, 14], "complementari": [3, 4], "complet": [1, 2, 9, 11, 12, 13, 14], "complianc": 4, "compliant": 10, "compon": [0, 1, 2], "compress": [2, 4, 8, 9], "compris": [2, 3, 10, 11, 12], "comput": [1, 2, 3, 4, 6, 8, 10, 11, 15], "concat": [5, 14], "concat_dim": [2, 3], "concaten": [3, 4, 9, 14], "concentr": [3, 9], "conclus": 5, "conda": [12, 13], "condit": [0, 1, 2, 3, 4, 6, 8, 9, 10, 11, 12, 13, 14, 15], "conditionsunit": 3, "conduct": 3, "confid": 14, "config": [14, 15], "configur": [4, 14], "confirm": 4, "confluenc": 6, "conform": 1, "connect": [6, 15], "consecut": 10, "consequenti": 9, "consid": [3, 9, 10, 12, 13, 15], "consider": [5, 8, 10, 12], "consist": [2, 5, 8, 10, 12, 14], "consolid": [6, 15], "consolidated_dataset": 15, "constant": [10, 12, 13], "construct": [3, 5, 8, 9], "consult": [4, 8], "contact": [3, 4, 9], "contain": [1, 2, 3, 4, 5, 7, 8, 10, 11, 12, 13, 14], "container_1608030060513_159307_01_000003": 4, "content": [2, 3, 4, 5, 6, 8, 9, 15], "content_length": [2, 9, 11, 12, 14], "content_typ": [2, 9, 11, 12, 14], "context": [9, 12, 13], "contin": [3, 5], "continu": [3, 6, 9], "contour": [4, 15], "contourf": [4, 13, 14, 15], "contract": 9, "contractor": 6, "contribut": [2, 3, 4], "control": [4, 8], "convect": 2, "conveni": [5, 12], "convent": [1, 3, 6, 8, 9, 10, 11, 12, 13], "converg": 4, "convers": 5, "convert": [1, 4, 5, 8, 9, 11, 12, 15], "cool": 1, "cooler": [2, 10, 12], "coolwarm": [9, 10], "coord": [2, 4, 12, 14, 15], "coordin": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "copernicu": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "copi": [0, 1, 2, 3, 4, 6, 8, 10, 11, 12, 13, 14, 15], "copyright": [3, 4, 9], "cordex": 7, "cordex_zip_path": 9, "cordexcordex_domain": 9, "core": 15, "corr": 14, "corr_pval": 14, "correct": [2, 3, 4, 5, 10, 11, 12], "correctedcmsaf_l2_processor": 3, "correctli": 12, "correl": 15, "correspond": [2, 3, 4, 5, 8, 10, 11, 12, 13, 14], "corrpvalvalu": 14, "corrvalu": 14, "cosin": [2, 4, 8, 10, 11, 12, 13], "could": [3, 4, 6, 8, 10, 11, 12, 13, 15], "count": [14, 15], "countri": [3, 6], "countsmissing_data": 3, "coupl": [4, 9, 14], "cours": [4, 8], "cover": [2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 15], "coverag": [0, 1, 2, 3, 4, 5, 8, 9, 10, 11, 12], "cppv6": 3, "cr": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "crdp": 4, "cream": 3, "creat": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 15], "createcopi": 6, "creation": [4, 8, 12], "creation_d": [8, 9], "creativ": 8, "creativecommon": [1, 8], "creator_email": 3, "credenti": [1, 6, 8, 9, 10, 11, 12, 13, 14, 15], "credit": [3, 4], "crop": 3, "cross": 4, "curat": 9, "current": [0, 1, 3, 4, 5, 10, 12], "custom": [2, 10, 13, 15], "customis": [4, 10, 12, 13], "cxc": [1, 10, 11, 12], "cymax": 15, "cymin": 15, "d": [2, 5, 8, 10, 11, 12, 13, 15], "d059": 14, "d15d36": 15, "d2": 4, "d3": 13, "d4": 4, "d5ed": 8, "d8b365": 13, "da": [8, 10, 11, 15], "da_agg": 8, "da_celsiu": 12, "da_celsius_weight": 12, "da_degc": 10, "da_summ": 15, "da_tcwv": 4, "da_tcwv_clim": 4, "da_tmp": 12, "da_weight": 8, "da_yr": 8, "dai": [0, 1, 3, 4, 5, 8, 11, 12, 13], "daili": [3, 4, 6, 9, 15], "daily_mean": 9, "damag": 9, "dark": [5, 12], "darkr": 11, "dask": [3, 4, 8, 14, 15], "dat": 5, "data0": [11, 12], "data3": 9, "data5": 12, "data6": [2, 9], "data8": 14, "data9": 14, "data_10": 8, "data_50": 8, "data_90": 8, "data_d": 8, "data_dir": [6, 15], "data_format": [1, 2, 6, 8, 9, 10, 11, 12, 14, 15], "data_lic": 9, "data_var": 14, "dataarrai": [1, 2, 4, 8, 9, 10, 12, 13, 14, 15], "dataarraynumb": 13, "datadir": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "datafil": 5, "datafram": [10, 13], "dataset": [1, 5, 6, 8, 9, 10, 11, 12, 15], "dataset2": 5, "dataset3": 5, "dataset_mean_long": 5, "dataset_si": 3, "dataset_typ": 15, "datasetdimens": [1, 3, 4, 6, 8, 9, 10, 11, 12, 13], "datastructur": 5, "datazipfil": 5, "date": [2, 5, 6, 8, 14], "date_cr": [3, 4], "date_end": 2, "date_rang": 2, "dates_rng": 2, "datestart": 2, "datetim": [5, 13, 15], "datetime360dai": 8, "datetime64": [1, 3, 4, 6, 10, 11, 12, 13, 14], "datetimeindex": [3, 4, 6, 10, 12, 13], "datetimenoleap": 9, "dateutil": [13, 14], "datstr": 5, "datum": 4, "dayofyear": 6, "dayproduct": 9, "days_in_sep": 11, "dayslong_nam": [6, 13], "dc2e": 9, "dd": [4, 13, 15], "de": [3, 4, 6], "deal": 5, "dec": [6, 9, 10], "decad": [2, 4, 10, 11, 12], "decemb": [2, 3, 4, 8, 10], "decode_tim": 2, "decompos": 4, "decomposit": 4, "decreas": [2, 3], "decreasingarrai": [6, 13, 15], "dedic": 14, "def": [6, 8, 13, 14, 15], "default": [0, 2, 3, 8, 10, 12, 13, 14], "defens": 4, "defin": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 14, 15], "deg": [8, 13], "deg2rad": [4, 8, 10, 11, 12, 13], "degc": 8, "degrad": 15, "degre": [0, 1, 4, 8, 9, 10, 11, 12, 14], "degreegeospatial_lat_min": 3, "degreegeospatial_lon_min": 3, "degreegeospatial_lon_resolut": 4, "degreekey_vari": 4, "degrees_eastaxi": [3, 6, 8], "degrees_eastgeospatial_lat_resolut": 4, "degrees_eastgeospatial_lon_resolut": 3, "degrees_eastlong_nam": [10, 11, 12], "degrees_eaststandard_nam": [1, 4, 6, 9, 13], "degrees_north": 4, "degrees_northaxi": [3, 6, 8], "degrees_northgeospatial_lat_resolut": 3, "degrees_northgeospatial_lon_unit": 4, "degrees_northlong_nam": [10, 11, 12], "degrees_northstandard_nam": [1, 6, 9, 13, 15], "degreesaxi": 9, "delai": 12, "delet": [2, 4], "deliv": 5, "delta": 9, "demonstr": [1, 5, 6, 7, 9, 13, 14, 15], "denot": 6, "densiti": 5, "depend": [2, 5, 8, 12, 13, 14], "depict": 4, "deprec": [2, 3, 4, 5, 10], "deproject": 4, "depublisher_url": 4, "derefer": 3, "deriv": [2, 3, 4, 5, 7, 9, 13, 14], "describ": [1, 2, 3, 4, 13, 14], "descript": [0, 8, 11, 13], "description_width": 13, "desert": 3, "design": [3, 4, 6, 9], "desir": 5, "desk": [3, 4, 15], "detail": [0, 4, 5, 8, 13, 14], "detect": 12, "determin": 4, "detial": 13, "develop": [4, 5, 9, 15], "deviat": [3, 4, 10, 12, 13], "devon": 8, "devot": 14, "df": 10, "dfcb": 5, "dhaka": 6, "diagram": 4, "dict": [4, 13, 14], "dictionari": [4, 13, 14], "did": [9, 13, 14], "differ": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 12, 13, 14], "differenti": 12, "difficult": 2, "diffrenc": 15, "digital_object_identifi": 3, "dim": [1, 2, 3, 4, 5, 6, 8, 10, 12, 14, 15], "dimens": [1, 2, 3, 4, 5, 6, 9, 11, 12, 13, 14, 15], "dimension": [1, 3, 4, 8, 9, 10, 11, 12, 14], "dioxid": 4, "direct": 15, "directli": [1, 5, 6], "directori": [0, 1, 2, 3, 4, 5, 6, 8, 10, 11, 12, 13, 14, 15], "dis24": 6, "dis24grib_griddefinitiondescript": 6, "dis24grib_unit": 6, "disabl": [1, 2, 3, 4, 6, 8, 9, 10, 11, 13, 14], "disable_warn": [1, 2, 3, 4, 6, 8, 9, 10, 11, 12, 13], "discarg": 6, "disclaim": 9, "discov": [7, 11], "discoveri": 3, "discret": 15, "discretis": 13, "discuss": [2, 4], "disk": [1, 2, 14], "displai": [0, 3, 4, 6, 15], "disrupt": 15, "dissemin": [8, 9, 13], "distinct": 12, "distinguish": 10, "distribut": [6, 11, 13, 14], "diverg": 12, "divid": [3, 8, 9], "djf": 4, "dmsp": 4, "do": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "dobson": 5, "doc": 8, "document": [0, 1, 2, 3, 4, 5, 12, 13, 14], "doe": [3, 11, 12], "doesn": [2, 3, 6, 14], "doi": [3, 4, 15], "domain": [0, 4, 9], "domin": 4, "don": 14, "done": [2, 3, 4, 5, 6, 8, 13, 14], "donwload": 15, "dot": 6, "doubl": 15, "dowload": 5, "down": 8, "download": [7, 14], "download_": 15, "download_claraa3_srb": 3, "download_fil": [6, 15], "download_format": [2, 6, 8, 9], "download_zip_fil": [2, 4], "downloaded_zip_fil": 3, "downloadwarn": 12, "downsampl": 10, "downwel": 3, "dpi": [2, 9, 15], "dramat": 12, "draw_label": [1, 2, 6, 9, 10, 12, 13], "driest": 4, "driven": 9, "driver": 4, "drop": [1, 2, 9, 10, 12, 13, 14], "drop_var": 13, "dropdown": 13, "dropdown_opt": 13, "dropna": [2, 11], "dry": 3, "ds_180": [10, 12], "ds_1971_2000_histor": 9, "ds_2071_2100_project": 9, "ds_combi": 4, "ds_hindcast": 13, "ds_hindcast_3m": 13, "ds_hindcast_3m_hindcast_mean": 13, "ds_latlon_subet": 13, "ds_latlon_subset": 13, "dsout": 13, "dt": [1, 5, 13, 15], "dtype": [1, 3, 4, 6, 8, 9, 10, 11, 12, 13, 15], "dtz": 2, "du": 5, "due": [1, 2, 3, 4, 5, 8, 13, 15], "durat": 15, "dure": [2, 3, 8, 10, 12], "dw": 1, "dwd": [3, 4], "dwdcreator_url": 3, "dynam": 5, "e": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "e6": 6, "each": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14], "eager": 8, "ear": 4, "earli": [5, 6, 15], "earlier": [2, 3, 14], "earth": [0, 3, 4, 10, 12], "earthcreator_url": 4, "earthshin": 5, "easi": [5, 14], "easier": [1, 3, 4, 10, 11, 12, 14, 15], "easiest": [2, 12], "easili": [4, 5, 10, 13], "east": [0, 4, 11, 13], "eastern": [3, 4], "ec": [9, 11], "eccod": [1, 6, 13], "ecmf": [6, 13], "ecmfgrib_centredescript": [6, 13], "ecmw": [11, 12], "ecmwf": [0, 1, 6, 9, 10, 11, 12, 13, 14, 15], "ecmwf123": 12, "ecmwf_seas5_1993": 13, "ecmwf_seas5_2021_05_forecast_monthly_tp": 13, "ecmwflib": 6, "ecv": [2, 3, 4], "ed": 2, "edgecolor": [2, 3, 6, 14, 15], "edit": [2, 3, 4, 5, 7, 13], "effect": [2, 3, 4, 9], "effi": 15, "effici": [1, 4, 10, 11, 12], "either": [0, 6, 8, 9], "el": [2, 4], "electromagnet": 2, "elem": 14, "element": [8, 12, 14, 15], "elif": 14, "els": [6, 12, 13, 14, 15], "em": 15, "emerg": [6, 15], "emiss": 2, "emit": [2, 3], "empti": 11, "en": 8, "enabl": [0, 2, 3, 10, 13], "encod": [13, 14], "encode_cf": [1, 6, 13], "encourag": [5, 10], "end": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14], "end_year": 9, "endpoint": [3, 4, 5], "engag": 7, "engin": [6, 13, 14], "enhanc": 3, "enough": 8, "ensembl": [5, 9, 14], "ensemble_memb": 9, "ensur": [1, 2, 4, 6, 8, 13, 14, 15], "entir": [6, 8, 9, 10, 12], "entiti": 6, "entri": [2, 3, 4, 5, 6, 10, 11], "entrust": 6, "enumer": [4, 5], "env": 15, "envelop": 4, "enviro": 15, "environ": [1, 2, 3, 4, 7, 9, 10, 11, 12], "environment": [3, 4], "envisat": 4, "eo": 4, "eorca1": 8, "equal": [3, 12], "equat": [2, 3, 4], "equatorgeospatial_lat_unit": 4, "equatori": [2, 5], "equival": 14, "er": 5, "era": [9, 10], "era5": 10, "era5_1deg": 14, "era5_1deg_3m": 14, "era5_arctic_t2m_jan1979": 10, "era5_europe_2020": 10, "era5_global_2016_anomaly_eur": 10, "era5_monthly_stmonth": 14, "era5_monthly_stmonth03_1993": 14, "era5_monthly_t2m_arc": 10, "era5_monthly_t2m_eur": 10, "era5t": 12, "erb": [2, 3], "error": [0, 9, 13], "erupt": 2, "es2l": 8, "esa": 4, "esacci": 4, "esgf": 9, "esm1": 8, "esotc_region": 15, "essenti": [2, 3, 4], "establish": [6, 15], "estim": 13, "eswi": 1, "eswigrib_centredescript": 1, "et": 2, "etc": [3, 4, 8, 10, 13], "eu": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "eum_saf_cm": [3, 4], "eumetsat": 4, "eur_monthly_t2m_clim": 10, "europ": [1, 10, 11, 15], "europe_data": 15, "european": [1, 2, 3, 6, 10, 13], "evalu": [8, 9, 10, 12], "evapor": 4, "even": [8, 11, 13], "event": [3, 4, 9, 11, 14, 15], "ever": 11, "everi": [3, 11], "everyth": [3, 12], "evolut": [4, 6, 12], "evolv": 15, "ewd": 15, "ex1": 8, "exactli": 6, "examin": 8, "exampl": [1, 3, 4, 5, 6, 7, 9, 10, 11, 13, 14, 15], "example_1_hirs_olr_mean": 2, "example_2_olr_timeserie_glob": 2, "example_3_olr_timeserie_arct": 2, "exce": 6, "exceed": 11, "except": [4, 8, 14, 15], "exception": 3, "excess": [6, 15], "exclam": [1, 3, 6, 10, 11], "exclud": 8, "exclus": 9, "execut": [0, 3, 9], "exemplari": 3, "exercis": [8, 11], "exet": 8, "exist": [2, 3, 5, 8, 9, 14], "exist_ok": [3, 6, 15], "exp": 8, "expand": [11, 12], "expand_dim": 8, "expans": [2, 3, 4], "expect": [11, 12, 14], "experi": [7, 9], "experienc": [3, 6, 11], "experiment_id": 8, "expierenc": 10, "explain": [2, 3, 4, 12], "explicitli": 6, "exploit": 3, "explor": 13, "exploratori": 12, "export": [2, 3, 4, 5, 7], "express": [6, 8, 9, 13, 15], "exptect": 11, "extend": [2, 3, 4, 5, 11, 13, 14, 15], "extens": [2, 3, 4], "extent": [6, 8, 9, 13, 15], "extern": [1, 14], "extra": [4, 5, 12], "extract": [3, 4, 5, 6, 7, 9, 11, 12, 15], "extractal": [2, 3, 4, 5, 8, 9], "extrem": [3, 4, 12], "f": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "f13": 4, "f14": 4, "f15": 4, "f96dc014": 4, "facecolor": [2, 15], "facil": [3, 4], "facilit": [8, 9, 11, 13], "factor": 11, "fail": 8, "fals": [1, 2, 3, 4, 5, 6, 9, 10, 14, 15], "famili": [3, 4], "familiar": 3, "far": [1, 8, 12], "fc": 15, "fcgrib_numberofpoint": 15, "fcmean": 13, "fcmeangrib_numberofpoint": 13, "fcmonth": [13, 14], "fdeaa5": 15, "featur": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 13, 14, 15], "februari": [3, 4, 13], "fec34d": 15, "feed": 5, "feedback": [9, 15], "feel": 3, "few": [3, 5], "fewer": 15, "ff7a0baba8af": 11, "ffbd20fd5f25": 4, "field": [3, 4, 5, 6, 10, 15], "fig": [1, 3, 6, 8, 9, 10, 11, 12, 13, 14, 15], "fig1": [2, 4], "fig2": 4, "fig3": 4, "fig4": 4, "fig5": 4, "fignam": 14, "figpath": 3, "figsiz": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "figur": [2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "file": [0, 1, 2, 3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15], "filelist": [2, 4], "filenam": [2, 4, 8, 9, 11], "fill": [11, 12, 13, 15], "fill_between": [4, 6, 8, 10, 11, 12, 13, 15], "filter": [10, 11], "filter_by_kei": [1, 6, 13], "filterwarn": 14, "final": [1, 2, 3, 4, 8, 9, 10, 12, 13, 14], "find": [0, 2, 3, 4, 7, 8, 9, 13, 14], "fire": [6, 7], "fire_weather_index": 15, "first": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "firstli": [2, 3], "fit": [4, 8, 9], "fitzroi": 8, "five": [8, 9, 10, 13], "fix": 13, "flag": [3, 4, 8], "flag_mean": [3, 4], "flag_valu": 4, "flagunit": 4, "flammabl": 15, "flatten": [5, 6], "fldmean": 12, "flexibl": 8, "float": 14, "float32": [1, 3, 4, 6, 8, 9, 10, 11, 12, 13], "float320": 6, "float32279": 9, "float323": 11, "float3251": 11, "float3260": 12, "float3272": 10, "float3289": 4, "float3290": 12, "float32dask": [3, 4], "float64": [1, 3, 4, 6, 8, 9, 10, 12, 13, 15], "float640": [6, 8, 13, 15], "float641": 8, "float6410": 1, "float6413": 8, "float642": 9, "float6430": 6, "float64335": 9, "float6484": 6, "float6489": 6, "float6490": [13, 15], "float64dask": [3, 4], "float64index": [10, 12], "flood": 7, "flux": [2, 3, 13], "flwdir_202001_03min": 6, "fmt": 11, "fn": 8, "focu": [9, 10, 13, 14], "focus": 3, "focuss": 13, "folder": [2, 3, 14], "follow": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "font": [10, 14], "fontsiz": [1, 2, 3, 4, 5, 6, 9, 10, 12, 13, 14, 15], "fontweight": 15, "forc": [6, 8, 9, 14], "forecast": [6, 10, 12], "forecast_period": 6, "forecast_periodarrai": [1, 6, 13], "forecast_reference_timearrai": [1, 6, 13], "forecast_reference_timestandard_nam": [1, 6, 13], "forecast_reference_timeunit": 13, "forecastmonth": [13, 14], "forecastsgrib_subcentr": [6, 13], "forecastshistori": [6, 13], "forecaststandard_nam": [1, 6, 13], "forest": 15, "forg": [12, 13], "form": [1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15], "format": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "formula": [1, 11], "foster": 2, "found": [2, 3, 5, 6, 8, 14, 15], "four": [3, 4, 5, 8, 9, 12], "fpath": 14, "fraction": [1, 2, 3, 4, 6, 9, 10, 12, 13], "frame": [4, 10, 13, 15], "franc": [3, 8, 11], "free": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15], "freeli": 7, "freq": [2, 3, 4, 6, 10, 12], "frequenc": 2, "fri": 6, "from": [1, 2, 4, 5, 6, 7, 15], "ft": 1, "fuel": 15, "fugur": 13, "full": [2, 3, 8, 9, 10, 13, 14], "fullest": 8, "fulli": 7, "function": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "fund": 4, "further": [2, 3, 4, 5, 8, 9, 11, 12, 13], "further_info_url": 8, "furtherinfo": 8, "furthermor": [3, 4], "futur": [0, 4, 7, 8], "fv3": 4, "fw": 1, "fwi": 7, "fwi_anom_europe_v_nowhit": 15, "fwi_over_50": 15, "fwi_threshold": 15, "fwinx": 15, "fwinxgrib_griddefinitiondescript": 15, "fwinxgrib_unit": 15, "g": [0, 1, 3, 4, 5, 6, 8, 9, 10, 13, 14], "ga": 4, "ga7": 8, "gac": 3, "gap": [10, 12], "gaseou": 4, "gb": 3, "gc": 9, "gc31": 8, "gca": [5, 13], "gcm": 9, "gcm_model": 9, "gcmd": [3, 4], "gco": 2, "gdal": 6, "gdal_area_or_point": 6, "gdal_pcraster_valuescal": 6, "gener": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "geodet": 4, "geog_agg": 8, "geogc": 4, "geograph": [0, 1, 2, 3, 4, 8, 9, 11, 12], "geographi": [1, 6, 13], "geophys": 2, "georeferenc": 4, "geoscienc": [3, 4], "geospati": [5, 6, 13, 14], "geospatial_lat_min": 4, "germani": [3, 8], "gespati": 6, "get": [0, 4, 10, 12, 14, 15], "get_cmap": 2, "get_legend_handles_label": [4, 8, 10, 11, 13], "get_thresh": 14, "get_ylim": 14, "getitem": 4, "ghg": 9, "gib": 3, "github": [0, 6, 8, 9, 13], "give": [0, 2, 3, 5, 6, 8, 10, 13], "given": [1, 3, 4, 5, 6, 8, 10, 11, 12, 13, 14], "gl": [2, 3, 4, 9], "gl7": 8, "glob": [2, 5, 8, 9], "global": [1, 6, 9, 10], "globe": [2, 6], "glofas_anomali": 6, "glofas_climat_quantil": 6, "glofas_climatologi": 6, "glofas_data": 6, "glofas_data_mask": 6, "glofas_dis24_domain_mean": 6, "glofas_high": 6, "glofas_historical_period": 6, "glofas_relanom": 6, "glofas_xy_2022": 6, "glofas_xy_2022_mean": 6, "glofas_xy_clim_max": 6, "glofas_xy_clim_min": 6, "glofas_xy_clim_quantil": 6, "glofas_xy_climatologi": 6, "glomap": 8, "glosea6": 14, "gmt": [10, 11, 12], "gnhistori": 8, "go": [0, 6, 11, 12, 14], "go6": 8, "goe": [12, 14], "gome": 5, "good": [3, 14], "googl": 7, "gov": 8, "govern": [8, 9], "gradual": 3, "grai": [1, 2, 3, 4, 6, 9, 10, 12, 13], "grant": 9, "graph": [3, 4, 10, 11, 15], "graphic": [13, 14], "greater": [6, 15], "greec": 3, "green": [4, 8, 10, 11], "greenhous": 4, "greenwich": 4, "grei": [11, 12, 15], "grib": [0, 1, 6, 10, 11, 12, 13, 14, 15], "grib2": 6, "grib_centr": [1, 6, 13], "grib_centredescript": [1, 6, 13], "grib_cfnam": [1, 13], "grib_cfvarnam": [1, 13], "grib_datatyp": [1, 13, 15], "grib_dxinmetr": 1, "grib_dyinmetr": 1, "grib_edit": [1, 6, 13], "grib_griddefinitiondescript": [1, 13], "grib_gridtyp": [1, 13], "grib_idirectionincrementindegre": 13, "grib_iscansneg": [1, 13], "grib_jdirectionincrementindegre": 13, "grib_jpointsareconsecut": [1, 13], "grib_jscansposit": [1, 13], "grib_ladindegre": 1, "grib_latin1indegre": 1, "grib_latin2indegre": 1, "grib_latitudeoffirstgridpointindegre": [1, 13], "grib_latitudeoflastgridpointindegre": 13, "grib_latitudeofsouthernpoleindegre": 1, "grib_longitudeoffirstgridpointindegre": [1, 13], "grib_longitudeoflastgridpointindegre": 13, "grib_longitudeofsouthernpoleindegre": 1, "grib_lovindegre": 1, "grib_missingvalu": [1, 13], "grib_nam": [1, 13, 15], "grib_ni": [1, 13], "grib_numberofpoint": [1, 13, 15], "grib_nv": [1, 13], "grib_nx": [1, 13], "grib_paramid": [1, 6, 13, 15], "grib_shortnam": [1, 13, 15], "grib_steptyp": [1, 13, 15], "grib_stepunit": [1, 13, 15], "grib_subcentr": [1, 6, 13], "grib_to_n": 10, "grib_to_netcdf": [10, 11, 12], "grib_totalnumb": 13, "grib_typeoflevel": [1, 13, 15], "grib_unit": [1, 13, 15], "grid": [0, 1, 4, 5, 8, 9, 11, 12, 13, 14, 15], "grid_latitudearrai": 9, "grid_longitudearrai": 9, "grid_map": 9, "grid_mapping_nam": 9, "gridcel": 15, "gridcom": 4, "gridfilenam": 3, "gridgrib_idirectionincrementindegre": 13, "gridlin": [1, 2, 3, 4, 6, 8, 9, 10, 11, 12, 13], "gridunit": 9, "ground": [5, 14], "group": [4, 8, 9, 10], "groupbi": [3, 4, 6, 8, 9, 10, 11, 12, 15], "gsi8": 8, "gt": [1, 3, 4, 6, 8, 9, 10, 11, 12, 13, 15], "guid": [2, 3, 4, 7, 8], "guidanc": 14, "guidelin": [3, 4], "gurnei": 2, "gz": 9, "h": [1, 14], "h_hi": 14, "h_lo": 14, "ha": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "had": [3, 5, 6, 11, 12], "hadgem3": 8, "hadgem3_gc31_l": 8, "hadl": 8, "hadlei": 8, "half": 10, "hand": 3, "handl": [1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 13], "hansen": 2, "happen": [3, 12, 14], "hard": 6, "harmoni": 1, "harrison": 2, "has_year_zero": [8, 9], "hasn": 14, "hatch": 14, "have": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "hcendi": 14, "hcmean": 14, "hcmean_3m": 14, "hcst": 14, "hcst_3m": 14, "hcst_bname": 14, "hcst_fname": 14, "hcstarti": 14, "hd3": 4, "hdai": 6, "hdl": [8, 9], "head": 10, "heat": [2, 3, 4, 5, 13], "heatwav": [6, 7, 10], "heavy_precip_over_ocean": 4, "height": [1, 8, 9, 13], "heightaboveground": 1, "heightabovegroundgrib_stepunit": 1, "heightarrai": [1, 8], "heightlong_nam": 9, "heightposit": 9, "heightstandard_nam": 8, "help": [1, 2, 3, 4, 6, 8, 9, 10, 11, 12, 13, 14, 15], "hemispher": [4, 5], "here": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "herebi": 9, "hide": 2, "high": [2, 3, 4, 5, 10, 11, 15], "higher": [3, 4], "highest": [3, 4, 8, 9, 11], "highlight": [10, 12, 13, 15], "hist": 11, "hist_max_t2m_mid": 11, "histogram": 11, "histor": [6, 8], "histori": [1, 6, 9, 10, 11, 12, 13], "historicaldriving_experi": 9, "historicaldriving_model_ensemble_memb": 9, "historicalexternal_vari": 8, "history_of_appended_fil": 6, "histroic": 6, "hmonth": 6, "hoap": 4, "hold": [1, 4, 10, 11, 12], "home": [0, 4], "homebrew": 15, "homepag": 6, "horizon": 3, "horizont": [2, 3, 4, 5, 12, 13], "horizontal_aggreg": 4, "horizontal_resolut": 9, "host": 14, "hottest": [10, 11], "hour": [1, 6], "hourli": [11, 12], "hoursgrib_shortnam": 6, "hoursunit": 6, "hovm\u00f6ller": [4, 5], "how": [0, 1, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 15], "howev": [1, 3, 4, 5, 6, 8, 10, 11, 12, 13], "hspace": [4, 5, 13], "ht": 6, "html": [3, 8, 12, 13], "http": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "hugetmp": 6, "human": 15, "humid": 15, "hydrolog": 6, "hydrological_model": 6, "hyear": 6, "i": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 13, 14, 15], "i2m": 4, "i_season": 4, "ibicu": 7, "ic": [3, 4], "icat": 14, "icon": [11, 12, 13, 14], "id": [1, 3, 4, 5, 6, 8, 10, 11, 12, 15], "idea": [3, 4, 5, 6, 9, 10, 11], "ideal": 8, "ident": [13, 15], "identifi": [3, 4, 5, 11], "idna": [1, 10, 11], "idunit": 13, "idx": 14, "ignit": 15, "ignor": [3, 6, 14], "illustr": [3, 4, 5], "im": [1, 2, 3, 4, 6, 9, 10, 12, 13], "imag": [2, 4], "imagerinstru": 4, "imagersinstitut": 4, "img": 15, "impact": 5, "implement": [1, 6, 8], "impli": [8, 9], "import": [0, 8, 9, 13, 14], "impos": 9, "improv": [3, 13, 14, 15], "includ": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "incom": 2, "increas": [2, 3, 4, 5, 8, 10, 11, 12], "incur": 9, "inde": 9, "indefinit": 2, "independ": [1, 2, 4], "index": [2, 3, 4, 5, 6, 7, 10, 11, 12, 13, 14], "indexing_tim": [13, 14], "indian": 4, "indic": [1, 4, 6, 10, 11, 12, 13, 14], "indirect": 9, "individu": [2, 13, 14], "industri": 8, "inf": 14, "infer": [2, 4], "influenc": [4, 15], "info": [2, 3, 4, 5, 9, 10, 11, 12, 13, 14], "inform": [0, 5, 6, 7, 8, 9, 10, 12, 13, 15], "infrar": [2, 4], "ingest": 5, "initi": [1, 4, 6, 8, 9, 11, 12, 13, 14], "initialis": [6, 15], "initialization_index": 8, "inlin": [4, 12], "inm": 8, "inm_cm4_8": 8, "inm_cm5_0": 8, "input": [1, 3, 13], "input_distribut": 14, "insecurerequestwarn": 9, "insert": 10, "insid": 10, "instal": [2, 3, 4, 5, 7, 14, 15], "instanc": [2, 5, 12, 13], "instant": [1, 13, 15], "instantgrib_gridtyp": [1, 13, 15], "instead": [2, 8, 12, 13, 14, 15], "institut": [1, 4, 6, 9, 13, 14], "institute_id": 9, "instruct": [2, 3, 4, 5, 7], "instrument": [2, 3, 4, 5], "instrument_vocabulari": [3, 4], "insuffici": 13, "int": [3, 4, 6, 11, 12, 15], "int32": 4, "int321178880137": 4, "int64": [4, 8, 13, 15], "int640": 13, "int641": [4, 13], "int641850": 8, "int641991": 15, "int642022arrai": 15, "int6431": 13, "int8": [3, 4], "int8dask": [3, 4], "integ": [13, 14], "integr": 4, "intellectu": 9, "intens": [13, 15], "inter": [2, 4], "interact": [7, 13], "interest": [0, 1, 2, 3, 4, 5, 6, 7, 10, 11, 12, 15], "interestingli": 11, "interf": 12, "interfac": [1, 4, 6, 7, 10, 11, 12, 13, 15], "interim": 9, "intern": [8, 10, 11, 12, 14], "internet": 7, "interpol": [6, 12, 14, 15], "interpret": [1, 2, 3, 6, 10, 11], "interv": [4, 13], "introduc": [8, 9, 13, 14], "introduct": [0, 8, 9, 13, 14], "introdut": 3, "invertlat": 6, "investig": [2, 3, 4, 5, 6], "invit": [3, 7], "io": 12, "ipsl": 8, "ipsl_cm6a_lr": 8, "ipykernel": 6, "ipykernel_5360": 11, "ipykernel_91833": 2, "ipywidget": 13, "iri": 8, "irradi": 4, "irregular": 3, "is_fullensembl": 14, "isel": 6, "isfil": [6, 15], "isin": 15, "islag": 14, "isocalendar": 15, "issu": [2, 4, 13], "itali": 3, "itcz": [2, 4], "item": [8, 9, 15], "iter": 13, "its": [1, 4, 8, 9, 10, 11, 12, 13, 15], "j": [2, 8, 9, 11], "ja": 13, "jan": [1, 9, 10], "januari": [1, 2, 3, 4, 12], "japan": 8, "jet": 4, "jira": 15, "jja": [3, 4, 13], "jja_climatologi": 3, "jja_data_2003": 3, "join": [2, 4, 6, 14], "joint": [6, 15], "jule": 8, "juli": [3, 4, 5, 10], "june": [3, 4, 9], "jupyt": [1, 2, 3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15], "just": [1, 3, 4, 5, 6, 10, 11, 12, 14, 15], "k": [2, 6, 9, 10, 12, 15], "kaggl": 7, "keep": [10, 12], "keep_attr": 10, "kei": [2, 3, 4, 5, 8, 9, 13, 14], "kelvin": [1, 9, 11], "keyword": [0, 4, 10, 11, 13, 14, 15], "kg": 4, "kgrid_map": 9, "kib": [3, 4, 15], "kilometr": 1, "kind": 10, "kingdom": 1, "klong_nam": [10, 11, 12], "km": [1, 3, 8], "kmparent_activity_id": 8, "know": [6, 13], "knowledg": [6, 14], "known": [2, 12], "koriginal_nam": 8, "l": [2, 6], "l2": [2, 4], "l3": 4, "l3_tcwv_meri": 4, "l_b": 14, "l_corr": 14, "l_corr_pval": 14, "l_probs_hcst": 14, "l_probs_ob": 14, "l_roc": 14, "l_rocss": 14, "l_rp": 14, "la": [2, 4], "label": [1, 2, 3, 4, 5, 6, 8, 10, 11, 12, 13, 14, 15], "labelpad": 5, "labels": [10, 15], "lag": [4, 13, 14], "lambda": 5, "lambert": 1, "lambertgrib_dxinmetr": 1, "land": [2, 3, 4, 8, 12], "land_eur_1981_2020": 0, "landic": 8, "landscap": 15, "larg": [5, 11], "larger": 5, "last": [2, 3, 5, 6, 9, 10, 12, 13], "lat": [2, 3, 4, 5, 6, 8, 9, 12, 14], "lat1": 15, "lat2": 15, "lat_bnd": [3, 4, 8], "lat_bndsarrai": [3, 4], "lat_bndsunit": 8, "lat_field": 2, "lat_formatt": 4, "lat_limit": 6, "lat_slic": 2, "lat_slice_index": 6, "later": [2, 4, 5, 9, 10, 12, 13, 14], "latest": [3, 4, 5, 15], "latitud": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "latitude_formatt": [8, 9, 10, 11, 13], "latitudearrai": [8, 9, 10, 11, 12], "latitudeformatt": 4, "latitudegrid_label": 8, "latitudelong_nam": [1, 3, 6, 13, 15], "latitudepandasindexpandasindex": [6, 10, 12, 15], "latitudestandard_nam": 8, "latitudestored_direct": [6, 13, 15], "latitudeunit": [3, 4, 6, 9], "latitudevalid_rang": 4, "latitudin": [2, 4], "latlon_bound": 5, "latnam": 13, "latpandasindexpandasindex": [3, 4], "latter": 13, "law": 8, "layer": [3, 4, 15], "lazi": 8, "lbproc": 8, "ldd": 6, "ldd_box": 6, "ldd_global_03min": 6, "ldd_o": 6, "ldd_orig_03min": 6, "lead": [3, 4, 14], "lead_tim": 13, "leadm": 14, "leadt_end": 13, "leadtim": [13, 14], "leadtime_month": [13, 14], "leap": 13, "learn": [0, 8, 9], "leav": [2, 12], "led": 3, "left": [3, 4, 5, 6, 10, 12, 13, 14, 15], "left_label": 3, "legend": [4, 6, 8, 9, 10, 11, 12, 13, 15], "leisur": 6, "len": [8, 12, 14, 15], "lenght": 3, "length": [3, 4, 6, 10, 12, 13, 15], "less": [4, 5, 6, 8], "let": [1, 2, 4, 6, 8, 9, 10, 11, 12, 13, 14], "level": [1, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "level1_intercalibr": 3, "level_3": 5, "liabil": 8, "liabl": 9, "lib": [1, 8, 10, 11, 12, 15], "librari": [0, 5, 7, 13, 14], "licenc": 9, "licens": [0, 1, 3, 4, 8, 9, 13], "license": 9, "lie": 1, "light": 12, "lightest": 8, "lightgrai": [13, 14], "lightgrei": [11, 12], "lightn": 15, "like": [0, 1, 2, 4, 7, 10, 12, 13, 14], "lill": 11, "lille_15": 11, "lille_2020": 11, "lille_2020_max": 11, "lille_7dai": 11, "lille_max": 11, "lille_max_max": 11, "lille_max_mid": 11, "lille_max_min": 11, "lille_past": 11, "lille_t2m": 11, "limit": [5, 6, 8, 9, 12, 13, 15], "line": [2, 3, 4, 5, 9, 10, 12, 14, 15], "line2d": [10, 12], "line_bas": 6, "linear": [5, 14], "linearsegmentedcolormap": 9, "linesep": 13, "linestyl": [1, 2, 3, 4, 6, 8, 9, 10, 11, 12, 13], "linewidth": [1, 2, 3, 4, 6, 9, 10, 12, 13, 14], "link": [2, 3, 4, 5, 7, 12], "linspac": 14, "liquid": 4, "lisflood": 6, "list": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15], "list_var": 14, "listedcolormap": [9, 15], "ll": [8, 12], "ll_historical_r1i1p1f3_gn_18500216": 8, "ll_ssp126_r1i1p1f3_gn_201501": 8, "ll_ssp126_r1i1p1f3_gn_205001": 8, "ll_ssp245_r1i1p1f3_gn_201501": 8, "ll_ssp245_r1i1p1f3_gn_205001": 8, "llnl": 8, "llparent_time_unit": 8, "llsource_typ": 8, "lo": 2, "load": [4, 7, 10], "loc": [2, 6, 11, 12, 14, 15], "local": [1, 2, 4, 6, 10, 11, 12], "locat": [2, 3, 4, 6, 9, 11, 12, 13, 14, 15], "log": [0, 8, 9], "logical_and": 14, "login": [0, 1, 2, 3, 4, 5, 6, 8, 10, 11, 12, 15], "lon": [2, 3, 4, 6, 8, 9, 12, 14], "lon1": [13, 15], "lon2": [13, 15], "lon_bnd": [3, 4, 8], "lon_bndsarrai": [3, 4], "lon_bndsunit": 8, "lon_formatt": 4, "lon_limit": 6, "lon_slice_index": 6, "long": [2, 3, 4, 5, 6, 10, 11, 12, 13, 14], "long_nam": [1, 3, 4, 6, 8, 9, 10, 12, 13, 15], "longer": [6, 10, 11], "longitud": [0, 1, 3, 4, 5, 6, 8, 9, 11, 12, 13, 14, 15], "longitude_formatt": [8, 9, 10, 11, 13], "longitudearrai": [6, 8, 9, 10, 11, 12, 13], "longitudeformatt": 4, "longitudegrib_idirectionincrementindegre": [6, 15], "longitudelat": 6, "longitudelong_nam": [1, 3, 6, 13], "longitudepandasindexpandasindex": [6, 10, 12, 15], "longitudestandard_nam": 8, "longitudeunit": [3, 4, 6, 9], "longitudevalid_rang": 4, "longwav": [3, 7], "lonnam": 13, "lonpandasindexpandasindex": [3, 4], "look": [2, 3, 4, 5, 6, 7, 10, 11, 12, 13], "loop": [5, 8, 10, 11, 13, 14], "lose": 13, "low": 1, "lower": [1, 4, 8, 14], "lowest": [3, 4, 5, 11], "lr": 8, "lt": [1, 3, 4, 6, 8, 9, 10, 11, 12, 13, 15], "lu": 9, "lw": [2, 6, 12, 15], "ly": 14, "m": [1, 2, 3, 4, 5, 6, 8, 13], "m01s03i236": 8, "m2": [3, 4, 6], "m2lon": 6, "m2standard_nam": 4, "ma": 2, "made": [2, 4, 5, 6, 9, 12, 15], "magic": 12, "magma_r": 3, "mai": [1, 3, 4, 7, 8, 9, 10, 11, 12, 13, 15], "main": [0, 2, 4, 5, 6, 8, 9, 12, 13], "mainli": [4, 12], "major": 2, "make": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "makedir": [3, 6, 14, 15], "mam": [4, 13], "mamba": 12, "mambaforg": 12, "manag": [0, 2, 6, 12, 13, 15], "mani": [1, 8, 12], "manipul": [3, 4], "manual": [1, 2, 5, 8, 9, 10, 11, 12, 13, 14], "map": [1, 3, 4, 5, 8, 9, 10, 12], "mar": [0, 1, 11, 12, 14], "march": [3, 4, 14], "mark": [1, 2, 3, 6, 10, 11], "markdown": 7, "marker": 13, "mask": [2, 12, 13, 15], "mask_and_scal": 2, "masked_averag": 2, "masked_invalid": 2, "maskedarrai": 2, "masklon": 13, "mass": [4, 5], "match": [3, 6, 14], "mathmat": 3, "matplotlib": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "matplotlibdeprecationwarn": 2, "matric": 14, "matrix": [3, 14], "max": [4, 6, 11, 12, 13, 14, 15], "max_per_month_clim": 12, "max_t2m_clim_sep_lil": 11, "maxi": [8, 9], "maximum": [2, 3, 4, 6, 12, 13], "maxlat": 12, "maxlon": 12, "mcm": 8, "md5": 8, "mean": [1, 5, 6, 8, 9, 10, 11, 12, 14, 15], "mean_data": 6, "mean_masked_data": 6, "meanarrai": 9, "meancell_measur": 8, "meaning": [7, 14], "meansconvent": 3, "meanxarrai": 9, "measur": [4, 5, 10, 15], "mechan": 4, "mediterranean": 3, "medium": [4, 6, 13], "mediumslateblu": 12, "meet": 9, "member": 14, "memori": [4, 8, 15], "mention": [5, 10], "menu": [0, 13], "merchant": [8, 9], "merg": [4, 8], "merged_netcdf_fil": [2, 4], "merged_uv": 5, "meri": 4, "meridion": [1, 8], "meshgrid": 2, "messag": [0, 8], "met": 8, "meta": [3, 4, 15], "metadata": [6, 8, 9, 13, 14], "metadata_convent": 3, "meteorolog": [0, 1, 3, 4, 10, 12], "meter": 8, "method": [2, 3, 4, 5, 6, 8, 9, 12, 13, 15], "metoffic": 14, "metop": 2, "metr": [1, 10, 11, 12, 14], "metric": [1, 14], "metum": 8, "mf": 3, "mib": [3, 4, 15], "microwav": 4, "mid": [5, 8, 11], "mid_rang": 10, "middl": 14, "might": [4, 13, 15], "min": [4, 6, 11, 12, 13, 14, 15], "min_per_month_clim": 12, "miniconda": 12, "miniforg": 12, "minimum": [2, 3, 4, 6, 11, 12, 13], "minlat": 12, "minlon": 12, "minor": [2, 6, 13, 14], "minu": [9, 11], "minut": 3, "mip": 8, "miroc": 8, "miroc_es2l": 8, "miscellan": 13, "mislead": 13, "miss": [5, 8], "missionsensor": 4, "mix": 12, "mjj": 13, "mm": 14, "mmm": 15, "mnth": [2, 3], "mo": 8, "mod": 8, "modal": 0, "mode": [8, 14], "model": [4, 6, 9, 10, 12, 13, 14], "model_id": 9, "modelshistori": 9, "moder": 4, "modern": [9, 12], "modi": 4, "modif": 14, "modifi": [2, 5, 6, 15], "modificationd": 6, "mohc": 8, "mohcmip_era": 8, "moistur": 15, "mon": 6, "monfurther_info_url": 8, "monitor": [0, 3, 4], "monsoon": 3, "month": [0, 1, 2, 3, 4, 5, 6, 9, 11, 12, 14, 15], "month_abbr": 14, "monthli": [2, 3, 5, 8, 9, 14], "monthly_averaged_reanalysi": [10, 12, 14], "monthly_mean": [3, 13, 14], "monthly_v02r07": 2, "monthly_v02r07_197901_202207": 2, "monthpandasindexpandasindex": 4, "monthrang": 13, "montlhi": 4, "more": [0, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "moreov": 5, "most": [2, 3, 4, 5, 7, 10, 12], "mostli": [2, 3], "motion": 4, "mpath": [1, 8, 9, 10, 11, 13], "mpg": 6, "mpi": 8, "mpi_esm1_2_lr": 8, "mpimet": 6, "mpl": [4, 8, 9, 10, 11, 13], "mposit": 1, "msl": 14, "much": [4, 5, 6, 10], "multi": [1, 4, 8, 10, 11, 12, 13, 14], "multidimension": [1, 2, 3, 4, 6, 7, 9, 10, 11, 15], "multipl": [1, 3, 4, 5, 9, 10, 11, 12, 13, 14], "multipli": 13, "multiplication_factor_to_convert_to_du": 5, "must": [1, 3, 4, 6, 10, 11, 12, 15], "mw": 4, "mwf1": 12, "my_cmap": 15, "m\u00b2": 3, "m\u00b3": 6, "n": [0, 1, 2, 3, 4, 6, 9, 10, 11, 12, 13, 14, 15], "n2o": 9, "n96": 8, "n_month": 4, "n_year": 4, "nadir": 5, "name": [0, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "namelist": [2, 4], "namib": 3, "nan": [2, 3, 4, 8, 12, 14], "nanmean": 3, "nanosecond": 13, "nansum": [2, 12], "narctic": 10, "nativ": 8, "natl": 12, "natur": [4, 10, 12], "naturalearth": 12, "nb2": 3, "nc": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 14, 15], "nck": 6, "nckeywords_vocabulari": 4, "nco": 6, "ncol": [4, 5], "ncrefer": 4, "nctime_coverage_start": 3, "ndarrai": [3, 4, 15], "nday_fwi_over_50": 15, "nday_fwi_over_50_anomaly_2022": 15, "nday_fwi_over_50_clim": 15, "ne_110m_coastlin": 12, "near_infrared_hoaps_combin": 4, "near_sfc_t2m_anomaly_july2023": 12, "near_sfc_t2m_global_avg_juli": 12, "near_sfc_t2m_global_avg_july_sorted_barplot": 12, "near_surface_air_temperatur": 8, "necessari": [1, 2, 3], "need": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "neg": [10, 12], "neglig": 8, "nemo": 8, "nest": [2, 3], "net": [3, 6], "netcdf": [0, 1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "netcdf4": [5, 6, 12], "netcdf_legaci": [1, 2, 8, 9, 10, 11, 12, 15], "netcdftim": 8, "never": 11, "nevertheless": 8, "new": [0, 1, 4, 5, 7, 10, 13, 14, 15], "new_date_format": 13, "newli": [1, 4, 10, 11, 12, 13], "next": [0, 2, 3, 4, 5, 8, 9, 10, 11, 12, 13, 14], "nfrance_hourly_sep": 11, "nh": 4, "nice": [3, 5], "night": 5, "nineti": 5, "nir": 4, "ni\u00f1a": [2, 4], "ni\u00f1o": [2, 4], "noaa": 3, "noaa_ncei_hir": 2, "nois": 4, "nomin": 14, "non": [9, 13], "none": [2, 3, 4, 6, 8, 10, 12, 14, 15], "nonesub_experiment_id": 8, "nonetable_id": 8, "norm": 15, "normal": [1, 2, 12, 13, 14, 15], "norrkop": 1, "norrkopinggrib_subcentr": 1, "norrkopinghistori": 1, "north": [0, 1, 3, 4, 11, 13], "northeast": 6, "northeastern": 15, "northern": [2, 3, 4, 11], "northwest": 10, "northwestern": 15, "not_perman": 6, "note": [0, 1, 2, 3, 5, 6, 8, 9, 10, 11, 13, 14, 15], "notebook": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "notic": [1, 4, 10, 12, 13, 15], "nov": [6, 14], "novemb": [3, 4, 5], "now": [1, 2, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14], "np": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "nrow": [4, 5], "ntemperatur": 9, "num_days_tcwv": 4, "num_ob": 4, "num_obsvalid_rang": 4, "number": [2, 3, 4, 5, 8, 11, 12, 13, 14], "number_of_high_dai": 6, "number_of_observationslong_nam": 3, "numcategori": 14, "numdai": 13, "numer": [13, 15], "numericlong_nam": 15, "numericstandard_nam": 15, "numpi": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "nv": 4, "nyear": 10, "nyearli": [2, 10], "o": [2, 3, 4, 6, 8, 9, 10, 11, 12, 13, 14, 15], "o3": 5, "o3plot": 5, "o_hi": 14, "o_lo": 14, "ob": 14, "obj": 2, "object": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14], "object1850": 8, "object1971": 9, "obs_fnam": 14, "observ": [2, 3, 4, 5, 9, 10, 12], "obtain": [1, 2, 3, 4, 5, 6, 8, 10, 11, 12, 14, 15], "oc": 9, "occur": [3, 11], "ocean": [3, 4, 8, 15], "ocnbgchem": 8, "octob": [3, 4, 13], "odd": 15, "offer": [0, 2, 4, 9, 10, 13], "offic": 8, "ok": [3, 4, 14], "olaf": 4, "olci": 4, "older": 14, "olr_norma": 2, "omi": 5, "omiss": 9, "onc": [0, 1, 3, 7, 9, 12, 13, 15], "one": [1, 2, 3, 4, 5, 9, 11, 13, 14, 15], "onli": [0, 3, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "onto": 10, "opac": 3, "open": [0, 1, 2, 3, 4, 6, 10, 11, 12, 14, 15], "open_dataset": [1, 2, 5, 6, 8, 10, 11, 12, 13, 14], "open_mfdataset": [2, 3, 4, 8, 9, 15], "oper": [3, 6, 8, 9, 12, 13], "oppos": [8, 13, 14], "opt": [11, 12, 15], "optimis": 13, "option": [0, 1, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "orang": 12, "orbit": 3, "order": [0, 2, 4, 8, 9, 10, 11, 12, 13, 14], "ordereddict": 13, "ordin": 4, "org": [1, 3, 4, 8, 12], "organ": [10, 12], "organis": [3, 9], "orient": [1, 3, 4, 5, 10, 11, 12, 13], "origin": [0, 1, 2, 3, 6, 8, 10, 12, 13, 14, 15], "origin_label": 14, "originating_centr": [13, 14], "origylim": 14, "orthograph": 10, "oscil": [2, 4], "other": [1, 3, 4, 5, 6, 9, 10, 12, 15], "otherwis": 5, "our": [1, 2, 3, 4, 5, 6, 8, 10, 11, 12, 13, 14, 15], "out": [4, 5, 6, 12, 13, 15], "outgo": [3, 7], "outgoing_longwave_radi": 2, "outlin": [8, 9, 13, 14, 15], "output": [1, 3, 4, 6, 8, 9, 10, 11, 12, 13, 14, 15], "outputcccma_runid": 9, "outputrealization_index": 8, "outsid": 13, "over": [1, 2, 3, 4, 6, 8, 9, 11, 12, 14, 15], "over_colour": 15, "overal": [3, 4, 13], "overview": [0, 2, 3, 4], "overwrit": [0, 12], "own": [2, 3, 4, 5, 7], "owner": 9, "oz": 9, "ozon": 7, "p": 14, "p0": 13, "p100": 13, "p1mgeospatial_lat_unit": 3, "p1mtime_coverage_resolut": [3, 4], "p1mtime_coverage_start": 4, "p2r": 3, "p33": 13, "p66": 13, "pacif": [3, 4], "pack": 13, "packag": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 15], "pad": [1, 2, 3, 4, 6, 9, 10, 12, 13], "page": [0, 3, 6, 13, 14, 15], "panda": [2, 4, 5, 8, 10, 13, 14], "panel": [3, 4, 10, 12], "param": [10, 11, 12], "paramet": [1, 2, 3, 4, 6, 10, 11, 12, 13], "parkinson": 2, "part": [1, 2, 3, 4, 8, 9, 10, 11, 13], "particl": 2, "particular": [1, 2, 4, 5, 6, 8, 9, 10, 11, 12, 15], "particularli": [3, 4, 5, 10], "partly_cloudy_over_land": 4, "partly_sea_ic": 4, "pass": [1, 3, 6, 10, 11, 12, 14], "past": [0, 1, 2, 3, 4, 6, 7, 9, 10, 11, 12, 13, 14, 15], "pastexperiment_id": 8, "patch5": 3, "path": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "pathlib": [8, 9], "pathnam": 2, "pathwai": 9, "patient": 7, "pattern": [2, 3, 4], "pcmdi": 8, "pcolorkwarg": 6, "pcolormesh": [1, 2, 3, 4, 5, 6, 9, 10, 12, 13], "pd": [2, 4, 5, 8, 13, 14], "peak_to_peak_tcwv_clim": 4, "per": [0, 1, 5, 10, 13, 15], "percentil": [13, 15], "perfect": 9, "perfectli": 13, "perform": [5, 8, 9, 12, 14, 15], "period": [1, 2, 4, 5, 8, 11, 13, 14, 15], "permit": 8, "persist": 2, "person": [0, 1, 6, 8, 9, 10, 11, 12, 13, 14, 15], "perturb": 2, "phase": [4, 8], "philosophi": 4, "physic": 4, "pi": 2, "pick": 15, "picontrolparent_mip_era": 8, "piec": 8, "pinatubo": 2, "pip": [0, 1, 2, 3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15], "pixel": [5, 6], "pixelunit": 6, "place": [3, 4, 12], "placement": 5, "platecarre": [1, 2, 3, 4, 5, 6, 9, 10, 12, 13, 14, 15], "platform": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 15], "platform_vocabulari": 4, "pleas": [0, 2, 3, 4, 5, 7, 8, 9, 12, 13, 14, 15], "plot": [1, 5, 6, 9, 11], "plot_data": 6, "plot_leadt": 13, "plot_map": 6, "plotsdir": 14, "plt": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "plu": 11, "plugin": 15, "png": [1, 2, 3, 4, 8, 9, 10, 11, 12, 13, 14], "poe": 3, "point": [6, 8, 9, 10, 11, 12, 13, 14, 15], "polar": [2, 3, 4], "pole": [2, 3, 5, 9], "polycollect": 12, "popul": 6, "popular": 14, "portal": [0, 15], "posit": [4, 5, 10, 12], "possibl": [3, 6, 8, 10, 13, 14, 15], "potenti": [4, 12, 13, 15], "power": [4, 10], "pps2018": 3, "practic": [0, 2, 5, 7, 8, 9, 13, 14], "prais": 3, "pre": 8, "preced": [11, 15], "precipit": [4, 14, 15], "precomput": 13, "predefin": 6, "predict": [13, 14], "preliminari": 12, "prepar": [1, 4, 5, 6, 9, 10, 11, 12, 14, 15], "presenc": [8, 14], "present": [2, 3, 4, 5, 7, 10, 11, 12, 14], "press": 2, "pressur": 14, "presum": 8, "prettifi": 12, "previou": [2, 3, 4, 5, 10, 12, 13, 14], "previous": 13, "primarili": 8, "primem": 4, "principl": [0, 1], "print": [6, 8, 11, 12, 14, 15], "prior": [10, 11], "privaci": 9, "prob": 14, "probabl": 11, "probh": 14, "problem": [9, 12], "probo": 14, "probs_hcst": 14, "proced": 4, "process": [2, 3, 4, 7, 8, 9, 10, 11, 12, 13], "processing_level": 5, "produc": [2, 3, 4, 6, 8, 10, 11, 14], "produce_map_plot": 15, "product": [0, 1, 2, 3, 4, 6, 9, 10, 11, 12, 13, 15], "product_class": 3, "product_famili": 3, "product_typ": [6, 10, 11, 12, 13, 14, 15], "profil": [5, 12], "program": [0, 1, 4, 6, 7, 10, 11, 12, 14, 15], "programat": 7, "programm": 2, "programmat": [1, 2, 6, 10, 11, 12, 14, 15], "proj": 5, "project": [0, 1, 2, 3, 4, 6, 10, 11, 12, 13, 14, 15], "projecthistori": 4, "projectinstitut": 9, "projectionaxi": 4, "projectioncom": 4, "pronounc": 9, "proper": 8, "properti": [3, 9], "proport": 14, "provid": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 13, 14, 15], "proxi": [4, 8, 10, 11, 12], "public": [3, 4], "publicli": 9, "publish": 9, "publisher_email": 4, "publisher_nam": 4, "publisher_url": 4, "pubu": 6, "pug": 4, "purpl": [6, 14], "purpos": [2, 5, 6, 8, 9, 14], "put": 13, "py": [2, 4, 11, 12, 15], "pydata": 8, "pylab": 2, "pyplot": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "python": [0, 1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14], "python3": [6, 15], "q": [3, 4, 6, 10, 15], "quadmesh": [4, 10, 12], "qualiti": [2, 4, 8, 10], "quantif": [2, 3], "quantil": [6, 11, 13, 14, 15], "queri": [1, 4, 10, 11, 12], "question": 11, "queu": [9, 11, 12], "queue": 8, "quick": 12, "quicker": 1, "quit": 3, "quot": [1, 3, 4, 6, 9, 13], "r": [2, 3, 4, 5, 6, 8, 9, 15], "r1i1p1": 9, "r1i1p1driving_model_id": 9, "r1i1p1f1physics_index": 8, "r1i1p1f3": 8, "r1i1p1f3grid": 8, "r1i1p1f3licens": 8, "r1i1p1forc": 9, "r2project_id": 9, "radi": [2, 3], "radian": 12, "radianc": 5, "radiat": [4, 5, 7, 13], "radiationunit": 3, "radiomet": 4, "radiometercmsaf_parameter_id": 3, "rainfal": 4, "rais": 14, "ram": 14, "random": 4, "rang": [1, 2, 3, 4, 5, 6, 8, 10, 11, 12, 13, 14, 15], "rank": 12, "rare": 12, "rate": [2, 6, 9, 11, 12, 14], "rategrib_shortnam": 13, "rateunit": 13, "rather": 8, "rc": 14, "rcm": 9, "rcm2nc": 9, "rcm2ncdata_lic": 9, "rcm_model": 9, "rcp": 9, "rcp2": 9, "rcp8": 9, "rcp_4_5": 9, "rcparam": 10, "rdbr_r": 12, "rdbu_r": [10, 12], "rdylbu_r": [3, 14], "re": [2, 6, 10, 13, 14, 15], "reach": [3, 4, 11], "read": [1, 2, 3, 4, 8, 9, 10, 11, 12], "readabl": 3, "reader": 5, "readi": [2, 3], "real": [4, 12, 13, 14], "realizationarrai": 13, "reanalysi": [0, 9, 10, 12, 14, 15], "reason": [2, 8, 9, 10], "receiv": [2, 3, 4, 14], "recent": [3, 8, 12], "rechunk": 15, "recognis": 4, "recommend": [0, 3, 4, 8, 10, 12], "record": [2, 3, 4, 5, 7, 8, 10, 11, 15], "record_statu": [3, 4], "rectifi": 9, "recurs": [2, 4], "red": [6, 8, 10, 12, 15], "red_upstream_area": 6, "redirect": 0, "reduc": [2, 3, 4, 12], "redundantli": 11, "ref": 10, "ref_mean": 10, "refenc": 15, "refer": [4, 5, 6, 8, 13, 14, 15], "reference_datum": 4, "reference_period": 14, "refin": 8, "reflect": [2, 3, 15], "reforecast": 14, "refresh": 0, "regard": 9, "region": [1, 2, 3, 4, 5, 6, 9, 10, 11, 12], "regist": [0, 1, 3, 4, 5, 6, 8, 10, 11, 12, 15], "registr": [0, 7], "regrid": 14, "regular": [0, 14], "regular_l": 13, "regular_llgrib_nv": [6, 13], "regular_llgrib_uvrelativetogrid": 15, "reinstal": 6, "rel": [2, 4, 5, 6, 9, 13, 15], "relat": [2, 4, 13], "relative_anomaly_2003": 3, "relativedelta": [13, 14], "releas": [2, 6, 12], "relev": [3, 13, 14], "reliabl": 8, "remain": [5, 13], "remot": 5, "remov": [2, 4, 9, 12, 13, 14, 15], "renam": 14, "reorganis": 13, "repeat": [8, 9, 10, 15], "replac": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "report": [4, 15], "repres": [1, 4, 5, 6, 8, 9, 11, 13, 15], "reproduc": 13, "reproject": [0, 10], "request": [1, 2, 3, 4, 5, 6, 10, 11, 12, 15], "requir": [1, 2, 6, 7, 8, 9, 10, 11, 12, 14, 15], "rerun": 12, "resampl": [10, 11, 15], "research": [3, 6, 15], "reset_index": 13, "reshap": 4, "residu": 4, "resolut": [1, 2, 3, 4, 5, 8, 9, 10, 13], "resourc": [2, 9, 11, 12, 14], "respect": [3, 4, 8, 10, 12, 13, 15], "respons": [1, 2, 6, 9, 15], "rest": 12, "result": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], "retriev": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 15], "retrospect": [13, 14], "return": [5, 10, 12, 13, 14], "reveal": [1, 2, 4, 6, 10, 11, 12, 13, 15], "revers": [3, 12, 14], "review": 2, "revisit": 13, "rewrot": 8, "rf": 14, "rich": 13, "richard": 1, "right": [1, 2, 3, 4, 5, 9, 10, 11, 12, 14, 15], "right_label": [2, 9], "rise": [3, 10], "risen": 2, "river_discharge_in_the_last_24_hour": 6, "rlat": 9, "rlon": 9, "road": 8, "robinson": 15, "rocss": 14, "role": [4, 14], "roll": 14, "rotat": [2, 5, 9, 12], "rotated_latitude_longitudegrid_north_pole_longitud": 9, "rotated_pol": 9, "rotated_polecell_method": 9, "rotation_mod": 2, "roughli": 3, "round": 6, "routin": 5, "row": [4, 10, 13], "ruedi": 2, "run": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 13, 15], "runtim": 6, "runtimewarn": 6, "russia": 8, "s1": 9, "s1b": 9, "s3": 12, "s35": 14, "sa": [1, 9], "saf": 4, "safe": 14, "sahara": 3, "sake": [8, 9], "sale": [3, 9], "same": [1, 3, 4, 5, 8, 9, 10, 12, 13, 14], "sampl": [5, 8, 11], "satellit": [2, 3, 4, 5], "satisfi": [1, 10, 11], "sato": 2, "save": [2, 3, 4, 8, 9, 10, 12, 13, 14, 15], "save_merged_netcdf": 4, "savefig": [1, 2, 3, 4, 8, 9, 10, 11, 12, 13, 14, 15], "scalar": 8, "scale": [5, 15], "scan": 4, "scatter": 6, "scenario": 8, "scene": 14, "scienc": 4, "scientif": [1, 9, 10, 11, 12, 14], "scientifc": 4, "scoredir": 14, "scratch": 3, "script": 0, "scroll": [8, 9, 13, 14], "sd": [4, 10], "sea": [4, 14], "sea_ic": 4, "sea_surface_temperatur": 12, "seaic": 8, "search": [0, 7, 8, 9], "seas5": [13, 14], "seas5_anomalies_202105": 13, "seas5_anomalies_202105_tp": 13, "seas5_anomalies_3m_202105": 13, "seas5_anomalies_3m_202105_em": 13, "seas5_anomalies_3m_202105_em_tp": 13, "seas5_forecast": 13, "seas5_forecast_3m": 13, "seas5_sasia": 13, "season": [3, 5], "season_list": 10, "seasonal_decompos": 4, "seasonalis": 4, "seasonpandasindexpandasindex": 4, "second": [0, 2, 3, 4, 5, 8, 9, 10, 12, 13], "section": [0, 2, 3, 4, 5, 8, 9, 10, 11, 12, 13, 14, 15], "see": [0, 1, 2, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14], "seek": 11, "seem": 10, "seen": 5, "sel": [2, 3, 4, 6, 10, 11, 12, 13, 14, 15], "select": [1, 2, 3, 4, 6, 7, 8, 10, 11, 12, 13, 14, 15], "self": 0, "sellonlatbox": 6, "send": [2, 9, 11, 12, 14], "sensor": [4, 5], "sep": 11, "sep_1979": 11, "separ": [8, 9, 13, 15], "seper": [5, 8, 9], "septemb": [3, 4, 5, 15], "sequenti": 8, "serbia": 3, "seri": [6, 11, 13], "seriou": 12, "serv": 6, "servic": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "servlet": 15, "session": [3, 4, 5], "set": [1, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "set_aspect": 4, "set_ext": [1, 3, 5, 6, 9, 10, 13, 15], "set_facecolor": 12, "set_frame_on": 15, "set_index": 13, "set_label": [1, 3, 4, 5, 6, 9, 10, 12, 13, 15], "set_major_formatt": 4, "set_ov": 15, "set_titl": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13], "set_und": [14, 15], "set_vis": 15, "set_xlabel": [4, 5, 8, 10, 11, 12, 13, 15], "set_xlim": [8, 10, 11], "set_xtick": [4, 11, 12], "set_ylabel": [4, 5, 8, 10, 11, 12, 13, 14, 15], "set_ylim": [10, 11, 12, 14], "set_ytick": 4, "seven": 11, "sever": [2, 3, 6, 11, 12, 13, 14, 15], "sf": 6, "sfogrib_numberofpoint": 6, "shade": [5, 15], "shall": [10, 12, 13], "shape": [3, 4, 6, 10, 12, 13, 14, 15], "share": 9, "sharealik": 8, "shell": [1, 3, 6, 10, 11], "shift": [2, 10, 14], "short": [2, 3, 4], "shortcut": 3, "shortwav": [2, 5], "should": [2, 3, 5, 8, 10, 11, 12, 13, 14, 15], "show": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "shown": [1, 3, 4, 12, 13, 14, 15], "shrink": [14, 15], "si": [10, 12], "si10": 1, "si10grib_griddefinitiondescript": 1, "sign": 12, "signatur": 5, "signific": [3, 5, 13, 14], "significantli": 2, "similar": [1, 5, 12, 13, 15], "similarli": 14, "simpl": [1, 4, 6, 10, 11, 12], "simplefilt": 6, "simpli": [1, 2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 15], "simplic": [8, 9], "simplifi": 3, "simul": [8, 9], "sinc": [1, 3, 4, 6, 8, 9, 10, 11, 12, 13], "singl": [1, 4, 5, 8, 9, 10, 11, 12, 13, 14], "single_level": 8, "sis_dm": 3, "sis_nob": 3, "sis_r3_clara_3_tcdrlevel1_intercalibr": 3, "sis_stdv": 3, "siscl": 3, "siscls_dm": 3, "siscmsaf_gac_parameter_id": 3, "sismm": 3, "sismm19790101000000319avpos01gl": 3, "sismm_anomaly2003": 3, "sismm_mean": 3, "site": [1, 10, 11, 12, 15], "six": [9, 13], "size": [3, 4, 5, 8, 10, 11, 12, 13, 14, 15], "skill": 14, "skip": 3, "skipna": 5, "sky": 3, "slice": [2, 3, 4, 6, 10, 12, 15], "slight": 4, "slightli": 13, "slower": 1, "small": [2, 8, 15], "smaller": [5, 8], "snippet": 14, "so": [1, 2, 3, 4, 6, 7, 8, 12, 13, 14, 15], "softwar": [2, 3, 4, 5], "solar": [4, 5], "solut": 12, "some": [1, 2, 3, 4, 5, 6, 7, 8, 9, 12, 13, 14, 15], "someth": 12, "son": 4, "soon": 0, "sort": [2, 4, 5, 12], "sortbi": [10, 12, 13, 14, 15], "sounder": 2, "sourc": [1, 2, 3, 4, 6, 10, 11, 12, 13, 15], "source_id": 8, "south": [0, 3, 4, 5, 11, 13], "southeastern": 15, "southern": [2, 3, 4, 5], "southpolarstereo": 5, "southwestern": 15, "space": [3, 4, 5, 13, 14], "spain": 3, "span": 4, "spars": 5, "spatial": [0, 2, 3, 5, 6, 9, 12], "spatial_resolut": 4, "speak": 5, "spearman": 14, "spearman_r": 14, "spearman_r_p_valu": 14, "special": [3, 4, 9], "specif": [0, 1, 2, 3, 4, 6, 7, 8, 9, 12, 13, 14], "specifi": [0, 1, 2, 3, 4, 6, 8, 10, 11, 12, 13, 14, 15], "spectral": 4, "spectro": 4, "spectromet": 4, "spectrum": [2, 4], "speed": [1, 15], "speedgrib_shortnam": 1, "speedunit": 1, "spheroid": 4, "split": [2, 3, 4, 10, 13, 14], "spread": [4, 8, 15], "spring": [3, 4, 5, 10], "spsv3": 14, "sqrt": 1, "squar": [9, 13], "squeez": 12, "srb": 3, "ssm": 4, "ssmi": 4, "ssp": 8, "ssp1": 8, "ssp126": 8, "ssp2": 8, "ssp245": 8, "ssp5": 8, "ssp585": 8, "sst": 14, "sst_": 12, "sst_d": 12, "sst_expver": 12, "sst_mask": 12, "sst_northatlantic_avg": 12, "sst_t": 12, "sst_weight": 12, "st_dim_nam": 14, "stabil": [2, 8], "stabl": [3, 8, 12], "stack": [4, 15], "stage": 14, "stai": 2, "stand": [4, 10, 11, 12], "standard": [1, 3, 4, 8, 9], "standard_deviationmissing_data": 3, "standard_nam": [1, 3, 4, 6, 8, 9, 13, 15], "standard_name_vocabulari": 3, "standardbranch_time_in_child": 8, "start": [2, 3, 4, 10, 12, 13, 14, 15], "start_dat": 14, "start_month": 14, "start_year": 9, "stash": 8, "state": [1, 5, 10, 12, 13, 14], "statement": 8, "statisit": 6, "statist": [6, 13, 14], "statsmodel": 4, "statu": [0, 3, 4, 5, 10], "status_flag": 4, "statuscom": 4, "std": [4, 10, 14], "stdv": 4, "steadili": 8, "step": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 14, 15], "stick": 12, "still": 11, "stippl": 14, "stmonth": 14, "storag": 3, "store": [1, 2, 3, 4, 6, 8, 9, 10, 11, 12, 13, 14, 15], "str": [8, 11, 12, 13], "stratospher": [2, 5], "strftime": [2, 5, 13], "strike": 15, "string": [1, 2, 6, 8, 10, 11, 12, 14, 15], "strip": 8, "stripi": 5, "strong": 4, "strongest": 4, "strongli": 2, "strptime": [5, 15], "structur": [4, 5, 6, 9, 13, 15], "student": 3, "studi": [3, 4, 5], "style": [2, 3, 12, 13, 15], "sub": [6, 12, 13, 15], "sublibrari": 4, "subplot": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 15], "subplot_kw": [1, 4, 5, 6, 10, 12, 13], "subplots_adjust": [4, 5, 13], "subsect": [2, 13], "subsequ": [2, 4, 5, 8], "subset": [0, 1, 4, 9, 10, 11, 14, 15], "subtitl": 4, "subtract": [3, 8, 9, 10, 12, 13, 15], "subtrop": 3, "success": [2, 3, 4, 5, 10], "successfulli": [3, 8], "successor": 3, "suffer": 15, "suffix": 12, "suggest": [2, 3, 4, 5, 7, 8], "suit": 7, "suitabl": 5, "sum": [2, 3, 5, 6, 12, 13, 14], "summari": 3, "summaris": 13, "summer": [4, 5, 10, 15], "summissing_data": 3, "sun": [2, 3], "sunlight": 5, "suppli": 8, "support": [9, 10], "suptitl": [4, 5, 10, 13], "sure": [0, 3, 15], "surfac": [1, 2, 4, 6, 7, 8, 9, 13, 14, 15], "surface_downwelling_shortwave_flux": 3, "surface_downwelling_shortwave_flux_assuming_clear_skylong_nam": 3, "surface_downwelling_shortwave_fluxlong_nam": 3, "surface_downwelling_shortwave_fluxunit": 3, "surface_type_flag": 4, "surfacegrib_stepunit": [6, 13, 15], "surfaceunit": 1, "swap_dim": 14, "switch": 7, "syntax": 13, "system": [0, 1, 2, 4, 5, 6, 10, 12, 13, 14, 15], "system_vers": [6, 15], "systemat": 13, "t": [1, 2, 3, 6, 12, 14], "t23": 9, "t2m": [1, 10, 11, 12, 14], "t2m_2016": 10, "t2m_c": 11, "t2m_c_weight": 11, "t2m_clim": 12, "t2m_global": 12, "t2m_global_july_1940": 12, "t2m_global_ref_p": 12, "t2m_global_sort": 12, "t2m_july2023": 12, "t2m_ref_per": 12, "ta": [8, 9], "tab": [0, 1, 2, 3, 4, 5, 10, 11, 12], "tabl": [3, 4, 11, 12], "tailor": 7, "take": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15], "taken": [8, 13, 14], "tam": 8, "tape": 1, "tar": 9, "target": 6, "tas_1971": 9, "tas_1971_2000_climatologi": 9, "tas_1971_2000_climatology_degc": 9, "tas_1971_2000_histor": 9, "tas_2071_2100_climatologi": 9, "tas_2071_2100_climatology_degc": 9, "tas_2071_2100_project": 9, "tas_amon_hadgem3": 8, "tas_difference_climatologi": 9, "task": 8, "tasvariant_label": 8, "tbound": [4, 9], "tcdr": 3, "tcwv_clim": 4, "tcwv_clim_max": 4, "tcwv_clim_min": 4, "tcwv_clim_month": 4, "tcwv_clim_month_mean": 4, "tcwv_clim_month_std": 4, "tcwv_combi": 4, "tcwv_combi_weight": 4, "tcwv_err": 4, "tcwv_mean": 4, "tcwv_ran": 4, "tcwv_seasonal_climatologi": 4, "tcwv_seasonal_decomposit": 4, "tcwv_weighted_mean": 4, "tcwv_weighted_mean_seri": 4, "tcwv_zonal_clim_month": 4, "tcwvplatform": 4, "tcwvplatform_vocabulari": 4, "team": 12, "technic": [5, 6, 9], "techniqu": 5, "tell": 8, "temp": [9, 10, 11], "temperatur": [1, 2, 4, 5, 9, 14, 15], "temperaturecom": 8, "temperaturestandard_nam": 9, "temperatureunit": 8, "temperaturexarrai": [10, 12], "tempor": [0, 1, 4, 5, 9, 10, 11, 12, 14], "temporal_aggreg": 4, "temporal_resolut": [8, 9], "temporari": 12, "tercile_prob": 14, "term": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "termin": 0, "termsofus": 8, "test": [9, 13], "text": [0, 2, 3, 4, 6], "textit": 1, "than": [1, 2, 3, 4, 6, 8, 10, 12, 14, 15], "thei": [2, 3, 4, 6, 7, 8, 12, 13, 14, 15], "them": [1, 3, 4, 7, 8, 13, 14], "themat": 3, "thematic_climate_data_record": 3, "theoret": 4, "therebi": 3, "therefor": [5, 6, 9, 13, 14], "thermal": 2, "thi": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 15], "thick": 12, "thin": 12, "thing": [12, 15], "this_fcmonth": 14, "thisb": 14, "thiscorr": 14, "thiscorrpv": 14, "thishcst": 14, "thishcst_em": 14, "thishcstcat": 14, "thiso": 14, "thisob": 14, "thisobscat": 14, "thisroc": 14, "thisrocss": 14, "thisrp": 14, "thisvt": 13, "thorough": 6, "those": [1, 8, 12, 13, 14], "three": [0, 2, 4, 8, 9, 10, 11, 12, 13], "threshold": 15, "through": [0, 2, 4, 7, 8, 10, 11, 13, 14], "throughout": [3, 6, 14, 15], "thu": [3, 5, 13], "tick": [2, 4, 5, 15], "tick_param": [10, 15], "ticker": 4, "tiff": 15, "tight": 2, "tight_layout": [10, 12, 14, 15], "till": [3, 5], "time": [0, 1, 3, 6, 7, 9, 11, 14, 15], "time_aggreg": 3, "time_bnd": [3, 4, 8, 9], "time_bndsarrai": [4, 9], "time_bndsaxi": 8, "time_bndslong_nam": 3, "time_coverage_start": 5, "time_dim": [13, 14], "timearrai": [1, 3, 8, 10, 11, 12, 13], "timeaxi": [4, 9], "timebound": 3, "timedelta64": [1, 6, 13], "timelong_nam": [1, 6, 13], "timepandasindexpandasindex": [3, 4, 6, 10, 12], "timestamp": [3, 4, 13], "timestandard_nam": [8, 9], "tirosn": 3, "tit_line1": 14, "tit_line2": 14, "tit_line2_bas": 14, "titl": [2, 3, 4, 5, 6, 8, 9, 10, 12, 13, 15], "titles": 14, "tlong_nam": 8, "tmi": 4, "tmp": [1, 11, 12], "tmp_5": 6, "tmp_uparea": 6, "to_datafram": [4, 10, 13], "to_datetim": [2, 13, 14], "to_masked_arrai": 2, "to_netcdf": [2, 4, 8, 14], "to_numpi": 5, "toa": 2, "togeth": [1, 3, 8, 9, 10, 11, 12, 13, 14], "tolist": 6, "tomato": 12, "tool": 6, "toolbox": 0, "top": [2, 3, 4, 5, 7, 8, 10], "top_label": [2, 3, 9], "topic": 7, "topographi": 15, "total": [6, 7, 14], "total_column": 5, "total_ozone_column": 5, "total_precipit": 13, "totalprecanomalyforecastsasia": 13, "totalprecforecasthindcastanomaliessasia": 13, "toward": [2, 3], "tp": 14, "tp_color": 13, "tp_level": 13, "tprate": 13, "tprate_hindcast": 13, "tprate_hindcast_mean": 13, "tprate_hindcast_sasia": 13, "tprategrib_griddefinitiondescript": 13, "tprategrib_totalnumb": 13, "tqdm": [1, 10, 11], "tracking_id": [8, 9], "trade": 3, "train": [2, 3, 4, 5], "transax": 2, "transfer": 9, "transform": [2, 3, 4, 5, 9, 10, 12, 15], "transit": 4, "transport": 5, "transpos": [4, 14], "treat": [8, 12], "trend": [5, 10], "tri": 13, "tripolar": 8, "trmm": 4, "tropic": [2, 3, 4, 5, 8], "true": [1, 2, 3, 4, 5, 6, 8, 9, 10, 12, 13, 14, 15], "truth": 14, "try": [8, 12], "tsa": 4, "turkei": 3, "tutori": [1, 2, 3, 4, 5, 6, 8, 9, 11, 13, 15], "twc": 1, "twc_mean": 1, "twc_mean_sub": 1, "twelv": 4, "twice": 1, "two": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 14, 15], "ty": 15, "tymean": 15, "type": [0, 1, 2, 3, 4, 6, 10, 11, 12, 13, 14, 15], "typic": [5, 9, 10, 11, 12], "u": [1, 2, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "u_vers": 6, "ua": 8, "uerra": 1, "uerra_harmoni": 1, "uerra_t2m": 1, "uerra_wind_chill_index_midjan": 1, "uerra_ws10m": 1, "uk": 8, "ukca": 8, "ukesm": 8, "ukesm1": 8, "ukesm1_0_l": 8, "ukinstitution_id": 8, "unarchiv": 6, "unavail": 5, "uncertaintyunit": 4, "uncom": [3, 4, 5, 9, 12], "unconvert": 10, "uncorrel": 4, "under": [0, 1, 2, 3, 4, 8, 9, 13], "under_colour": 15, "understand": [10, 13, 15], "unexpect": 14, "unidata": 3, "uniform": 2, "unit": [1, 4, 5, 6, 8, 9, 11, 13, 15], "univers": 2, "unix": 2, "unknown": [1, 6, 13, 14, 15], "unknownarrai": 6, "unknowngrib_cfvarnam": [1, 6, 13, 15], "unknownxarrai": [1, 13, 15], "unpack": 4, "unrestrict": 9, "unstack": 13, "untar": 9, "until": [5, 6, 8, 10, 12], "unusu": 3, "unzip": [2, 3, 4, 5], "up": [1, 6, 8, 9, 10, 11, 12, 13, 14, 15], "up_lat": 6, "up_lon": 6, "uparea": 6, "uparea_glofas_v4_0": 6, "uparea_repair": 6, "uparea_v4_0": 6, "uparea_v4_0_l": 6, "uparea_v4_0_md": 6, "uparea_v4_0_st": 6, "updat": [0, 3, 4, 5, 6, 10, 12, 13, 15], "upgrad": [3, 4, 5], "uplong_nam": 8, "upper": [6, 8, 12, 14, 15], "upsilon": 1, "upstandard_nam": 1, "upstream_area": 6, "upstream_area_fil": 6, "upstream_area_fnam": 6, "upstream_data_url": 6, "upunit": 9, "url": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "urllib": 2, "urllib3": [1, 2, 3, 4, 6, 8, 9, 10, 11, 12, 13], "us": [1, 5, 6, 8, 9, 13, 15], "usabl": 5, "usag": [3, 4], "usecas": 3, "user": [1, 3, 4, 6, 7, 8, 10, 11, 12, 15], "usercach": 4, "userwarn": [11, 15], "usual": [3, 8], "uuid": 12, "uv": 5, "v": [1, 6], "v001": 4, "v001naming_author": 4, "v001tracking_id": 4, "v003": 3, "v003creator_nam": 3, "v003product_class": 3, "v003sourc": 3, "v02r07": 2, "v1": [3, 5, 8, 15], "v2": [0, 2, 4, 6, 8, 9, 11, 12, 14], "v2000": 5, "v67": 4, "v70": 3, "va": 2, "valid": [1, 4, 6, 12, 13, 14], "valid_rang": 4, "valid_tim": [1, 6, 13, 14, 15], "validmonth": 14, "valu": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "vanish": 5, "vapor": 4, "vapour": 7, "vapourunit": 4, "var": [2, 14], "vari": [5, 6, 8, 10, 11, 12], "variabl": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 15], "variable_id": [4, 8], "variant_label": 8, "variat": [2, 4, 5, 10, 12], "varieti": 7, "variou": [1, 3, 4, 6, 7, 8, 10, 11, 12, 14, 15], "varnam": 14, "vdiv": 4, "veget": 15, "veri": [3, 4, 5, 6, 8, 10, 12, 15], "verif": 7, "version": [0, 1, 2, 3, 4, 5, 6, 10, 12, 15], "version_4_0": 6, "vertic": [1, 2, 4, 5, 6, 13], "vertical_aggreg": 5, "via": [1, 2, 3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15], "victoria": 9, "video": 2, "view": [0, 2, 5, 9, 13, 14], "viridi": 5, "visibl": 4, "visit": [1, 2, 3, 4, 6, 8, 10, 11, 12, 15], "visual": [2, 3, 4, 5, 10, 11], "visualis": [1, 2, 3, 4, 6, 7, 8, 9, 11, 14], "visualize_pcolormesh": 10, "vl": 9, "vm": 14, "vmax": [3, 4, 5, 6, 10, 12, 13], "vmin": [3, 4, 5, 6, 10, 12, 13], "void": [3, 4], "volcan": 2, "volum": 8, "vs_scalar": 6, "vs_scalargdal_area_or_point": 6, "vt": [13, 14], "vts_name": 13, "w": [0, 1, 2, 3, 6, 13, 15], "w26": 15, "w_clim_max": 15, "w_clim_mean": 15, "w_clim_min": 15, "w_clim_q10": 15, "w_clim_q90": 15, "w_ty_mean": 15, "wa": [2, 3, 4, 5, 6, 8, 10, 11, 12, 13, 14], "wai": [0, 1, 2, 4, 5, 8, 9, 10, 11, 12, 13, 14], "want": [0, 2, 3, 4, 5, 9, 10, 12, 13, 15], "warm": [3, 4, 10], "warmer": [10, 12], "warn": [1, 2, 3, 4, 5, 6, 8, 10, 11, 12, 13, 14, 15], "warnung": 3, "warrant": 9, "warranti": [8, 9], "water": 7, "water_vapour_cci": 4, "waterid": 4, "waterunit": 4, "watervapour": 4, "watervapourcreator_email": 4, "wave": [3, 4], "wb": 6, "wc": 1, "we": [0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 13, 14, 15], "weather": [6, 7, 13], "webbrows": 12, "webpag": 5, "websit": [1, 2, 3, 4, 7, 10, 11, 12, 13], "wed": 6, "week": 15, "weekly_clim": 15, "weekly_ti": 15, "weight": [4, 8, 10, 11, 12, 13], "weight_norm": 2, "welcom": [2, 9, 11, 12, 14], "well": [0, 2, 3, 4, 12, 13, 14], "were": [3, 4, 8, 10, 11, 12, 15], "west": [0, 4, 11, 13], "western": [3, 4, 11], "wettest": 4, "wgs84": 4, "what": [1, 2, 4, 10, 11, 12, 14], "when": [0, 5, 6, 8, 9, 10, 11, 12, 13, 15], "where": [1, 2, 3, 4, 5, 6, 9, 10, 12, 13, 14, 15], "whether": 10, "which": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "while": [1, 2, 3, 4, 5, 8, 9, 10, 11, 12, 13, 14], "white": [12, 13, 15], "whole": [2, 3, 4, 6, 9, 12, 13], "whose": 14, "why": [2, 8, 12], "wide": [2, 3, 7, 10, 12], "wider": 11, "widget": 13, "width": 13, "wikimedia": 1, "wildfir": 15, "wind": [3, 15], "windchil": 7, "window": [0, 2], "winemak": 3, "winter": [3, 4, 10], "wish": [0, 3, 4, 10], "within": [4, 5, 8, 9, 14], "without": [1, 3, 4, 7, 8, 9, 10, 12], "wmo": [10, 12, 14], "word": [3, 4], "work": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15], "workflow": [0, 7, 8, 9, 10, 13], "world": [5, 10, 12], "worst": 8, "would": [0, 2, 4, 6, 7, 8, 10, 11, 12, 13, 14], "wrapper": 5, "write": [6, 14], "writefil": 0, "written": [3, 4], "wspace": [4, 5, 13], "wv": 4, "wv_cci": 4, "www": [3, 4, 9], "x": [0, 1, 2, 3, 4, 5, 8, 9, 10, 11, 12, 13, 14, 15], "x0": [3, 13], "x1": [5, 13], "x27": [1, 3, 4, 6, 8, 9, 10, 11, 12, 13, 15], "xarrai": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14], "xaxi": 4, "xbound": [3, 4], "xdate": 15, "xdf": 2, "xdf_arctic_mean_rol": 2, "xdf_m": 2, "xdf_mean_rol": 2, "xlabel": [2, 4, 5, 6, 10, 12], "xlim": 15, "xlong_nam": 8, "xmax": [12, 15], "xmin": [12, 15], "xpo": 12, "xr": [1, 2, 3, 4, 6, 8, 9, 10, 11, 12, 13, 15], "xrd": 14, "xrds_hi": 14, "xrds_lo": 14, "xskillscor": 14, "xstandard_nam": 9, "xtick": 2, "xy": 11, "y": [1, 2, 3, 4, 5, 8, 10, 12, 13, 15], "y0": 13, "y1": 13, "y10": 15, "y90": 15, "yarn": 4, "yarrai": 6, "yaxi": 4, "ybound": [3, 4], "year": [0, 1, 2, 4, 8, 9, 10, 11, 12, 14, 15], "year_max_tcwv": 4, "year_min_tcwv": 4, "year_tcwv_clim_max": 4, "year_tcwv_clim_min": 4, "yearli": [2, 5, 8, 10], "yearly_mean": 10, "yearpandasindexpandasindex": 15, "yellow": 2, "yet": [0, 2, 3], "yield": 3, "ylabel": [2, 5, 6, 10], "ylgn": 14, "ylgn_r": 14, "ylim": [14, 15], "ylong_nam": 8, "ylorrd": 2, "ymax": 15, "ymean": 15, "ymin": 15, "you": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "your": [0, 2, 3, 4, 5, 7, 8, 9, 13, 14], "ystandard_nam": 9, "ytick": 10, "yy": 14, "yyyi": [13, 15], "zarrai": 9, "zenith": 4, "zero": [11, 12], "zip": [2, 3, 4, 5, 8, 9, 11, 12, 13], "zip_ref": [2, 3, 4, 5, 8, 9], "zipfil": [2, 3, 4, 5, 8, 9], "zonal": 1, "zone": 4, "zorder": [2, 6, 15], "zposit": 8, "\u00b9": 6, "\u00bac": 12}, "titles": ["Climate Data Store Tutorial", "Wind Chill Index with Reanalysis Data", "Calculation of global distribution and timeseries of Outgoing Longwave Radiation (OLR) using NOAA/NCEI HIRS data", "Calculation of global climatology and relative anomalies of Surface Radiation Budget from EUMETSAT\u2019s CM SAF CLARA-A3 dataset", "Exploring Total Column Water Vapour information in the COMBI dataset", "Exploring an ozone product available through the Climate Data Store (CDS)", "Observing major flood events with GLOFAS", "Copernicus Climate Change Service (C3S) Data Tutorials", "Plot an Ensemble of CMIP6 Climate Projections", "Analysis of Projected versus Historical Climatology with CORDEX Data", "Tutorial on Climatologies using Climate Data from C3S", "Analysis of September 2020 European Heatwave using ERA5 Climate Reanalysis Data from C3S", "Tutorial on July 2023 record-breaking global surface temperatures using climate data from C3S", "Seasonal Forecast Anomalies", "Seasonal Forecast Verification", "Visualising the Fire Weather Index (FWI) for the European State of the Climate (ESOTC) assessment"], "titleterms": {"": 3, "1": [2, 3, 10, 12, 13, 14, 15], "10": 6, "180": [2, 10], "1850": 8, "1950": 0, "1971": 9, "1991": [12, 15], "1a": 14, "1b": 14, "2": [2, 3, 10, 12, 13, 14, 15], "2000": 9, "2003": 3, "2020": [11, 12, 15], "2021": [5, 13], "2022": [6, 15], "2023": 12, "2071": 9, "2100": [8, 9], "2a": 14, "2b": 14, "2m": 11, "3": [2, 10, 12, 13, 14, 15], "3a": 14, "3b": 14, "3c": 14, "4": [10, 12, 13, 14], "4a": 14, "4b": 14, "4c": 14, "5": [9, 10, 12, 13], "50": 15, "90th": 6, "In": 12, "The": [3, 5], "a3": 3, "about": [0, 1, 2, 3, 6, 8, 9, 10, 12, 13, 14], "abov": 5, "access": [0, 2, 6], "accumul": 13, "acquisit": 3, "addit": 8, "aggreg": [4, 8, 10], "air": 10, "all": [8, 15], "altern": 0, "an": [5, 6, 8], "analys": 12, "analysi": [4, 5, 9, 10, 11], "annual": 8, "anomali": [3, 10, 12, 13, 14, 15], "antarctica": 5, "api": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15], "appendix": 4, "appli": 2, "arctic": [2, 10], "area": [6, 14], "arrai": 13, "assess": 15, "atlant": 12, "atmospher": 7, "avail": 5, "averag": [3, 4, 8, 13], "base": [9, 14], "between": [8, 9], "bia": 7, "break": 12, "budget": [2, 3], "c3": [7, 10, 11, 12], "calcul": [1, 2, 3, 8, 10, 12, 13, 15], "case": [2, 3], "categori": 14, "cd": [0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15], "celsiu": [8, 10, 12], "chang": [7, 9, 10, 12, 13], "characterist": 14, "chill": 1, "clara": 3, "client": 0, "climat": [0, 1, 5, 7, 8, 9, 10, 11, 12, 13, 15], "climatolog": 4, "climatologi": [2, 3, 4, 9, 10, 11, 12, 13], "cm": 3, "cmip6": 8, "colab": 12, "column": [4, 5], "combi": 4, "combin": 8, "common": 14, "compar": [1, 6, 11, 13], "comput": [9, 12, 13, 14], "conclus": 4, "content": 7, "convers": [8, 13], "convert": [2, 10, 13], "copernicu": 7, "cordex": 9, "correct": 7, "correl": 14, "cours": 5, "creat": [8, 13, 14], "credenti": [0, 2, 3, 4, 5], "curv": 14, "cycl": 4, "dai": [6, 15], "daili": 11, "danger": 15, "data": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], "dataset": [0, 2, 3, 4, 13, 14], "date": 13, "defin": 13, "descript": [3, 4], "determinist": 14, "diagram": 5, "dimens": [8, 10], "dimension": 13, "discharg": 6, "distribut": [2, 3, 4, 5], "domain": 6, "download": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 15], "dure": 5, "each": [13, 15], "earth": 2, "ecv": 5, "effi": 7, "ensembl": [8, 13], "enter": [1, 6, 10, 11, 12, 15], "environ": 6, "era5": [0, 1, 11, 12, 14], "esotc": 15, "eumetsat": 3, "europ": 3, "european": [11, 15], "europen": 10, "event": 6, "evolut": [2, 5], "ewd": 6, "exampl": 0, "exceed": 6, "exercis": [1, 12], "experi": [8, 12], "explor": [4, 5, 6], "expver": 12, "extract": [8, 13], "file": [8, 9], "filter": 0, "find": [6, 15], "fire": 15, "flood": 6, "forecast": [7, 13, 14], "form": 0, "from": [0, 3, 8, 9, 10, 11, 12, 13, 14], "further": 0, "futur": 9, "fwi": 15, "geograph": [10, 13], "get": [2, 3, 6], "global": [2, 3, 4, 5, 8, 12, 15], "glofa": [6, 7], "grid": [2, 10], "gto": 5, "heatwav": 11, "hindcast": [13, 14], "hir": 2, "histor": [9, 15], "hole": 5, "hot": 3, "hourli": 0, "how": [2, 7, 14], "i": 12, "import": [1, 2, 3, 4, 5, 6, 10, 11, 12, 15], "incom": 3, "index": [1, 15], "indic": [7, 15], "inform": [2, 3, 4, 14], "infrastructur": 12, "inspect": [1, 4, 8, 10, 11, 12, 15], "instal": [0, 1, 6, 8, 9, 10, 11, 12, 13], "interact": 0, "interfac": 0, "introduct": [2, 3, 4, 12], "juli": 12, "june": 6, "kaggl": 12, "kei": [0, 1, 6, 10, 11, 12, 15], "kelvin": [8, 10, 12], "land": 0, "lat": 10, "later": 8, "lead": 13, "librari": [1, 2, 3, 4, 6, 8, 9, 10, 11, 12, 15], "list": 8, "load": [2, 3, 8, 9, 13, 14, 15], "lon": 10, "longitud": [2, 10], "longwav": 2, "major": 6, "manual": 0, "map": [6, 13, 15], "mask": 6, "maximum": 11, "mean": [2, 3, 4, 13], "member": 13, "merg": [2, 5, 12], "metric": 15, "mm": 13, "model": 8, "modul": 5, "monitor": 7, "month": [10, 13], "monthli": [4, 10, 12, 13], "more": [2, 3], "multipl": 8, "ncei": 2, "necessari": 15, "new": 12, "noaa": 2, "normal": 10, "north": 12, "notebook": 2, "number": [6, 15], "observ": [6, 7, 14], "octob": 5, "olr": 2, "one": [8, 10, 12], "oper": 14, "outgo": 2, "outlin": 0, "over": [5, 10, 13], "overview": 6, "ozon": 5, "packag": [13, 14], "part": 12, "percentil": 6, "period": [6, 9, 10, 12], "pip": [8, 9], "pivot": 13, "plot": [2, 3, 4, 8, 10, 12, 13, 14, 15], "polar": 5, "precipit": 13, "prepar": [2, 8], "prerequisit": [2, 3], "present": 0, "previou": 6, "probabilist": 14, "probabl": 14, "process": 1, "produc": 15, "product": [5, 14], "programmat": [0, 8, 9, 13], "project": [5, 7, 8, 9], "python": [5, 15], "quantil": 8, "radiat": [2, 3], "rank": 14, "rate": 13, "rcp4": 9, "read": [13, 14], "reanalysi": [1, 7, 11], "record": 12, "reduc": 6, "refer": [2, 9, 10, 12], "region": [13, 15], "rel": [3, 14], "relat": 3, "repeat": [1, 13], "represent": 13, "request": [0, 8, 9, 13, 14], "resourc": 0, "result": 1, "retriev": [0, 14], "river": 6, "roc": 14, "roll": [2, 13], "rp": 14, "run": [7, 12, 14], "saf": 3, "scenario": 9, "score": 14, "sea": 12, "search": [1, 2, 3, 4, 6, 10, 11, 12, 15], "season": [4, 7, 10, 13, 14], "select": 0, "septemb": 11, "seri": [2, 4, 5, 8, 10, 12], "servic": 7, "set": [0, 2, 3, 4, 5], "setup": 6, "shortwav": 3, "si": 3, "signal": 9, "spatial": [4, 8, 13], "specif": 10, "sst": 12, "standard": [10, 12], "state": 15, "step": 13, "store": [0, 5, 7], "studi": 6, "submit": 0, "subregion": 13, "subselect": 2, "subset": 13, "summer": 3, "surfac": [3, 10, 12], "tabl": 13, "target": 9, "tcwv": 4, "temperatur": [8, 10, 11, 12], "tempor": [2, 3, 8], "tercil": [13, 14], "thi": [12, 14], "through": 5, "time": [2, 4, 5, 8, 10, 12, 13], "timeseri": [2, 15], "timestep": 12, "titl": 14, "total": [4, 5, 13], "trend": [4, 12], "tutori": [0, 7, 10, 12, 14], "two": [12, 13], "under": 14, "unit": [10, 12], "unpack": 2, "unzip": [8, 9], "up": [2, 3, 4, 5], "upstream": 6, "us": [0, 2, 3, 4, 7, 10, 11, 12, 14], "v": 15, "vapour": 4, "variabl": 14, "verif": 14, "versu": 9, "via": [0, 8, 9], "view": [1, 4, 6, 8, 10, 11, 12], "visual": [8, 9, 13, 14], "visualis": [5, 10, 12, 13, 15], "want": 6, "water": 4, "we": [6, 12], "weather": 15, "web": 0, "weekli": 15, "weight": 2, "wind": 1, "work": 12, "xarrai": 15, "xr": 14, "year": [3, 5, 6, 13], "your": [1, 6, 10, 11, 12, 15], "zonal": 4}})
\ No newline at end of file
diff --git a/sf-anomalies.html b/sf-anomalies.html
index 8893919..29af8a4 100644
--- a/sf-anomalies.html
+++ b/sf-anomalies.html
@@ -32,7 +32,7 @@
     
     
     
-    
+    
     
     
   
@@ -5300,7 +5300,7 @@ 
Conversion of data into two dimensional pivot table
 
Repeat steps for hindcast data (to compare forecast and hindcast anomalies)#

 
We would like now to repeat the steps for the hindcast data in order to show the forecast in the context of the reference climate. I.e. we will compare the seasonal forecast and hindcast anomalies for each lead-time month. In the final plot we will show the anomaly of each forecast ensemble member, while the model climate defined by the hindcasts will be represented in the form of tercile categories. This will put each ensemble member forecast anomaly into context and will give us an indication of its intensity.

-
We therefore revisit the hindcast data (tprate_hindcast), which we loaded in section 2 above. We will apply the same steps to create a geographical subset and aggregate spatially.

+
We therefore revisit the hindcast data (tprate_hindcast), which we loaded in section 2 above. We will apply the same steps to create a geographical subset and aggregate spatially.

 

 

 
tprate_hindcast_SAsia = ds_latlon_subset(tprate_hindcast, sub)
diff --git a/sf-verification.html b/sf-verification.html
index 99d92f0..e666eb6 100644
--- a/sf-verification.html
+++ b/sf-verification.html
@@ -32,7 +32,7 @@
     
     
     
-    
+    
     
     
   
diff --git a/visualising-fwi-for-esotc.html b/visualising-fwi-for-esotc.html
index 87325a6..a6b1394 100644
--- a/visualising-fwi-for-esotc.html
+++ b/visualising-fwi-for-esotc.html
@@ -32,7 +32,7 @@
     
     
     
-    
+