diff --git a/docs/examples/climatology-and-departures.ipynb b/docs/examples/climatology-and-departures.ipynb index 54b056aa..04f411cf 100644 --- a/docs/examples/climatology-and-departures.ipynb +++ b/docs/examples/climatology-and-departures.ipynb @@ -56,7 +56,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": { "ExecuteTime": { "end_time": "2018-11-28T20:51:35.958210Z", @@ -81,7 +81,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -97,593 +97,14 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": { "ExecuteTime": { "end_time": "2018-11-28T20:51:36.072316Z", "start_time": "2018-11-28T20:51:36.016594Z" } }, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.Dataset> Size: 40MB\n",
-       "Dimensions:    (lat: 89, lon: 180, time: 624, bnds: 2)\n",
-       "Coordinates:\n",
-       "  * lat        (lat) float32 356B 88.0 86.0 84.0 82.0 ... -84.0 -86.0 -88.0\n",
-       "  * lon        (lon) float32 720B 0.0 2.0 4.0 6.0 ... 352.0 354.0 356.0 358.0\n",
-       "  * time       (time) object 5kB 1970-01-01 00:00:00 ... 2021-12-01 00:00:00\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    time_bnds  (time, bnds) object 10kB 1970-01-01 00:00:00 ... 2022-01-01 00...\n",
-       "    sst        (time, lat, lon) float32 40MB ...\n",
-       "    lon_bnds   (lon, bnds) float32 1kB -1.0 1.0 1.0 3.0 ... 357.0 357.0 359.0\n",
-       "    lat_bnds   (lat, bnds) float32 712B 89.0 87.0 87.0 ... -87.0 -87.0 -89.0\n",
-       "Attributes: (12/37)\n",
-       "    climatology:               Climatology is based on 1971-2000 SST, Xue, Y....\n",
-       "    description:               In situ data: ICOADS2.5 before 2007 and NCEP i...\n",
-       "    keywords_vocabulary:       NASA Global Change Master Directory (GCMD) Sci...\n",
-       "    keywords:                  Earth Science > Oceans > Ocean Temperature > S...\n",
-       "    instrument:                Conventional thermometers\n",
-       "    source_comment:            SSTs were observed by conventional thermometer...\n",
-       "    ...                        ...\n",
-       "    creator_url_original:      https://www.ncei.noaa.gov\n",
-       "    license:                   No constraints on data access or use\n",
-       "    comment:                   SSTs were observed by conventional thermometer...\n",
-       "    summary:                   ERSST.v5 is developed based on v4 after revisi...\n",
-       "    dataset_title:             NOAA Extended Reconstructed SST V5\n",
-       "    data_modified:             2022-06-07
" - ], - "text/plain": [ - " Size: 40MB\n", - "Dimensions: (lat: 89, lon: 180, time: 624, bnds: 2)\n", - "Coordinates:\n", - " * lat (lat) float32 356B 88.0 86.0 84.0 82.0 ... -84.0 -86.0 -88.0\n", - " * lon (lon) float32 720B 0.0 2.0 4.0 6.0 ... 352.0 354.0 356.0 358.0\n", - " * time (time) object 5kB 1970-01-01 00:00:00 ... 2021-12-01 00:00:00\n", - "Dimensions without coordinates: bnds\n", - "Data variables:\n", - " time_bnds (time, bnds) object 10kB 1970-01-01 00:00:00 ... 2022-01-01 00...\n", - " sst (time, lat, lon) float32 40MB ...\n", - " lon_bnds (lon, bnds) float32 1kB -1.0 1.0 1.0 3.0 ... 357.0 357.0 359.0\n", - " lat_bnds (lat, bnds) float32 712B 89.0 87.0 87.0 ... -87.0 -87.0 -89.0\n", - "Attributes: (12/37)\n", - " climatology: Climatology is based on 1971-2000 SST, Xue, Y....\n", - " description: In situ data: ICOADS2.5 before 2007 and NCEP i...\n", - " keywords_vocabulary: NASA Global Change Master Directory (GCMD) Sci...\n", - " keywords: Earth Science > Oceans > Ocean Temperature > S...\n", - " instrument: Conventional thermometers\n", - " source_comment: SSTs were observed by conventional thermometer...\n", - " ... ...\n", - " creator_url_original: https://www.ncei.noaa.gov\n", - " license: No constraints on data access or use\n", - " comment: SSTs were observed by conventional thermometer...\n", - " summary: ERSST.v5 is developed based on v4 after revisi...\n", - " dataset_title: NOAA Extended Reconstructed SST V5\n", - " data_modified: 2022-06-07" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "ds_monthly = ds.copy()\n", "\n", @@ -701,616 +122,13 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.Dataset> Size: 3GB\n",
-       "Dimensions:   (lat: 89, lon: 180, time: 43825, bnds: 2)\n",
-       "Coordinates:\n",
-       "  * lat       (lat) float32 356B 88.0 86.0 84.0 82.0 ... -82.0 -84.0 -86.0 -88.0\n",
-       "  * lon       (lon) float32 720B 0.0 2.0 4.0 6.0 8.0 ... 352.0 354.0 356.0 358.0\n",
-       "  * time      (time) object 351kB 2010-01-01 00:00:00 ... 2015-01-01 00:00:00\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    sst       (time, lat, lon) float32 3GB -1.8 -1.8 -1.8 -1.8 ... nan nan nan\n",
-       "    lon_bnds  (time, lon, bnds) float32 63MB -1.0 1.0 1.0 ... 357.0 357.0 359.0\n",
-       "    lat_bnds  (time, lat, bnds) float32 31MB 89.0 87.0 87.0 ... -87.0 -89.0\n",
-       "Attributes: (12/37)\n",
-       "    climatology:               Climatology is based on 1971-2000 SST, Xue, Y....\n",
-       "    description:               In situ data: ICOADS2.5 before 2007 and NCEP i...\n",
-       "    keywords_vocabulary:       NASA Global Change Master Directory (GCMD) Sci...\n",
-       "    keywords:                  Earth Science > Oceans > Ocean Temperature > S...\n",
-       "    instrument:                Conventional thermometers\n",
-       "    source_comment:            SSTs were observed by conventional thermometer...\n",
-       "    ...                        ...\n",
-       "    creator_url_original:      https://www.ncei.noaa.gov\n",
-       "    license:                   No constraints on data access or use\n",
-       "    comment:                   SSTs were observed by conventional thermometer...\n",
-       "    summary:                   ERSST.v5 is developed based on v4 after revisi...\n",
-       "    dataset_title:             NOAA Extended Reconstructed SST V5\n",
-       "    data_modified:             2022-06-07
" - ], - "text/plain": [ - " Size: 3GB\n", - "Dimensions: (lat: 89, lon: 180, time: 43825, bnds: 2)\n", - "Coordinates:\n", - " * lat (lat) float32 356B 88.0 86.0 84.0 82.0 ... -82.0 -84.0 -86.0 -88.0\n", - " * lon (lon) float32 720B 0.0 2.0 4.0 6.0 8.0 ... 352.0 354.0 356.0 358.0\n", - " * time (time) object 351kB 2010-01-01 00:00:00 ... 2015-01-01 00:00:00\n", - "Dimensions without coordinates: bnds\n", - "Data variables:\n", - " sst (time, lat, lon) float32 3GB -1.8 -1.8 -1.8 -1.8 ... nan nan nan\n", - " lon_bnds (time, lon, bnds) float32 63MB -1.0 1.0 1.0 ... 357.0 357.0 359.0\n", - " lat_bnds (time, lat, bnds) float32 31MB 89.0 87.0 87.0 ... -87.0 -89.0\n", - "Attributes: (12/37)\n", - " climatology: Climatology is based on 1971-2000 SST, Xue, Y....\n", - " description: In situ data: ICOADS2.5 before 2007 and NCEP i...\n", - " keywords_vocabulary: NASA Global Change Master Directory (GCMD) Sci...\n", - " keywords: Earth Science > Oceans > Ocean Temperature > S...\n", - " instrument: Conventional thermometers\n", - " source_comment: SSTs were observed by conventional thermometer...\n", - " ... ...\n", - " creator_url_original: https://www.ncei.noaa.gov\n", - " license: No constraints on data access or use\n", - " comment: SSTs were observed by conventional thermometer...\n", - " summary: ERSST.v5 is developed based on v4 after revisi...\n", - " dataset_title: NOAA Extended Reconstructed SST V5\n", - " data_modified: 2022-06-07" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "ds_hourly = ds.sel(time=slice(\"2010-01-01\", \"2015-01-01\"))\n", "ds_hourly = ds_hourly.resample(time=\"h\").mean()\n", + "ds_hourly = ds_hourly.bounds.add_bounds(axis=\"T\")\n", "\n", "ds_hourly" ] @@ -1349,7 +167,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -1361,1126 +179,11 @@ ")" ] }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'sst' (time: 4, lat: 89, lon: 180)> Size: 513kB\n",
-       "array([[[-1.79981625, -1.79985297, -1.79994214, ..., -1.79991531,\n",
-       "         -1.79986632, -1.79981446],\n",
-       "        [-1.79983902, -1.79991055, -1.7999984 , ..., -1.7999984 ,\n",
-       "         -1.79992783, -1.79984879],\n",
-       "        [-1.7999984 , -1.7999984 , -1.7999984 , ..., -1.7999984 ,\n",
-       "         -1.7999984 , -1.7999984 ],\n",
-       "        ...,\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan],\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan],\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan]],\n",
-       "\n",
-       "       [[-1.79999971, -1.79999971, -1.79999971, ..., -1.79999971,\n",
-       "         -1.79999971, -1.79999971],\n",
-       "        [-1.79999971, -1.79999971, -1.79999971, ..., -1.79999971,\n",
-       "         -1.79999971, -1.79999971],\n",
-       "        [-1.79999971, -1.79999971, -1.79999971, ..., -1.79999971,\n",
-       "         -1.79999971, -1.79999971],\n",
-       "...\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan],\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan],\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan]],\n",
-       "\n",
-       "       [[-1.79780686, -1.79789853, -1.79790592, ..., -1.79814029,\n",
-       "         -1.79788494, -1.79771841],\n",
-       "        [-1.79790151, -1.79761696, -1.79740644, ..., -1.79935026,\n",
-       "         -1.79849136, -1.79822123],\n",
-       "        [-1.79993308, -1.79919863, -1.79871511, ..., -1.79943478,\n",
-       "         -1.7996434 , -1.799842  ],\n",
-       "        ...,\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan],\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan],\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan]]])\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float32 356B 88.0 86.0 84.0 82.0 ... -82.0 -84.0 -86.0 -88.0\n",
-       "  * lon      (lon) float32 720B 0.0 2.0 4.0 6.0 8.0 ... 352.0 354.0 356.0 358.0\n",
-       "  * time     (time) object 32B 0001-01-01 00:00:00 ... 0001-10-01 00:00:00\n",
-       "Attributes: (12/15)\n",
-       "    long_name:            Monthly Means of Sea Surface Temperature\n",
-       "    units:                degC\n",
-       "    var_desc:             Sea Surface Temperature\n",
-       "    level_desc:           Surface\n",
-       "    statistic:            Mean\n",
-       "    dataset:              NOAA Extended Reconstructed SST V5\n",
-       "    ...                   ...\n",
-       "    operation:            temporal_avg\n",
-       "    mode:                 climatology\n",
-       "    freq:                 season\n",
-       "    weighted:             True\n",
-       "    dec_mode:             DJF\n",
-       "    drop_incomplete_djf:  True
" - ], - "text/plain": [ - " Size: 513kB\n", - "array([[[-1.79981625, -1.79985297, -1.79994214, ..., -1.79991531,\n", - " -1.79986632, -1.79981446],\n", - " [-1.79983902, -1.79991055, -1.7999984 , ..., -1.7999984 ,\n", - " -1.79992783, -1.79984879],\n", - " [-1.7999984 , -1.7999984 , -1.7999984 , ..., -1.7999984 ,\n", - " -1.7999984 , -1.7999984 ],\n", - " ...,\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan],\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan],\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan]],\n", - "\n", - " [[-1.79999971, -1.79999971, -1.79999971, ..., -1.79999971,\n", - " -1.79999971, -1.79999971],\n", - " [-1.79999971, -1.79999971, -1.79999971, ..., -1.79999971,\n", - " -1.79999971, -1.79999971],\n", - " [-1.79999971, -1.79999971, -1.79999971, ..., -1.79999971,\n", - " -1.79999971, -1.79999971],\n", - "...\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan],\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan],\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan]],\n", - "\n", - " [[-1.79780686, -1.79789853, -1.79790592, ..., -1.79814029,\n", - " -1.79788494, -1.79771841],\n", - " [-1.79790151, -1.79761696, -1.79740644, ..., -1.79935026,\n", - " -1.79849136, -1.79822123],\n", - " [-1.79993308, -1.79919863, -1.79871511, ..., -1.79943478,\n", - " -1.7996434 , -1.799842 ],\n", - " ...,\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan],\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan],\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan]]])\n", - "Coordinates:\n", - " * lat (lat) float32 356B 88.0 86.0 84.0 82.0 ... -82.0 -84.0 -86.0 -88.0\n", - " * lon (lon) float32 720B 0.0 2.0 4.0 6.0 8.0 ... 352.0 354.0 356.0 358.0\n", - " * time (time) object 32B 0001-01-01 00:00:00 ... 0001-10-01 00:00:00\n", - "Attributes: (12/15)\n", - " long_name: Monthly Means of Sea Surface Temperature\n", - " units: degC\n", - " var_desc: Sea Surface Temperature\n", - " level_desc: Surface\n", - " statistic: Mean\n", - " dataset: NOAA Extended Reconstructed SST V5\n", - " ... ...\n", - " operation: temporal_avg\n", - " mode: climatology\n", - " freq: season\n", - " weighted: True\n", - " dec_mode: DJF\n", - " drop_incomplete_djf: True" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "season_climo.sst" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'sst' (lat: 89, lon: 180)> Size: 128kB\n",
-       "array([[-1.79981625, -1.79985297, -1.79994214, ..., -1.79991531,\n",
-       "        -1.79986632, -1.79981446],\n",
-       "       [-1.79983902, -1.79991055, -1.7999984 , ..., -1.7999984 ,\n",
-       "        -1.79992783, -1.79984879],\n",
-       "       [-1.7999984 , -1.7999984 , -1.7999984 , ..., -1.7999984 ,\n",
-       "        -1.7999984 , -1.7999984 ],\n",
-       "       ...,\n",
-       "       [        nan,         nan,         nan, ...,         nan,\n",
-       "                nan,         nan],\n",
-       "       [        nan,         nan,         nan, ...,         nan,\n",
-       "                nan,         nan],\n",
-       "       [        nan,         nan,         nan, ...,         nan,\n",
-       "                nan,         nan]])\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float32 356B 88.0 86.0 84.0 82.0 ... -82.0 -84.0 -86.0 -88.0\n",
-       "  * lon      (lon) float32 720B 0.0 2.0 4.0 6.0 8.0 ... 352.0 354.0 356.0 358.0\n",
-       "    time     object 8B 0001-01-01 00:00:00\n",
-       "Attributes: (12/15)\n",
-       "    long_name:            Monthly Means of Sea Surface Temperature\n",
-       "    units:                degC\n",
-       "    var_desc:             Sea Surface Temperature\n",
-       "    level_desc:           Surface\n",
-       "    statistic:            Mean\n",
-       "    dataset:              NOAA Extended Reconstructed SST V5\n",
-       "    ...                   ...\n",
-       "    operation:            temporal_avg\n",
-       "    mode:                 climatology\n",
-       "    freq:                 season\n",
-       "    weighted:             True\n",
-       "    dec_mode:             DJF\n",
-       "    drop_incomplete_djf:  True
" - ], - "text/plain": [ - " Size: 128kB\n", - "array([[-1.79981625, -1.79985297, -1.79994214, ..., -1.79991531,\n", - " -1.79986632, -1.79981446],\n", - " [-1.79983902, -1.79991055, -1.7999984 , ..., -1.7999984 ,\n", - " -1.79992783, -1.79984879],\n", - " [-1.7999984 , -1.7999984 , -1.7999984 , ..., -1.7999984 ,\n", - " -1.7999984 , -1.7999984 ],\n", - " ...,\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan],\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan],\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan]])\n", - "Coordinates:\n", - " * lat (lat) float32 356B 88.0 86.0 84.0 82.0 ... -82.0 -84.0 -86.0 -88.0\n", - " * lon (lon) float32 720B 0.0 2.0 4.0 6.0 8.0 ... 352.0 354.0 356.0 358.0\n", - " time object 8B 0001-01-01 00:00:00\n", - "Attributes: (12/15)\n", - " long_name: Monthly Means of Sea Surface Temperature\n", - " units: degC\n", - " var_desc: Sea Surface Temperature\n", - " level_desc: Surface\n", - " statistic: Mean\n", - " dataset: NOAA Extended Reconstructed SST V5\n", - " ... ...\n", - " operation: temporal_avg\n", - " mode: climatology\n", - " freq: season\n", - " weighted: True\n", - " dec_mode: DJF\n", - " drop_incomplete_djf: True" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "season_climo[\"sst\"][0]" - ] - }, { "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.02, 'Seasonal Surface Air Temperature')" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "notnull = pd.notnull(season_climo[\"sst\"][0])\n", "sst_season = season_climo.sst\n", @@ -2520,437 +223,9 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'time' (time: 4)> Size: 32B\n",
-       "array([cftime.DatetimeProlepticGregorian(1, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeProlepticGregorian(1, 4, 1, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeProlepticGregorian(1, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n",
-       "       cftime.DatetimeProlepticGregorian(1, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
-       "      dtype=object)\n",
-       "Coordinates:\n",
-       "  * time     (time) object 32B 0001-01-01 00:00:00 ... 0001-10-01 00:00:00\n",
-       "Attributes:\n",
-       "    long_name:        Time\n",
-       "    delta_t:          0000-01-00 00:00:00\n",
-       "    avg_period:       0000-01-00 00:00:00\n",
-       "    prev_avg_period:  0000-00-07 00:00:00\n",
-       "    standard_name:    time\n",
-       "    axis:             T\n",
-       "    actual_range:     [19723. 81204.]\n",
-       "    bounds:           time_bnds
" - ], - "text/plain": [ - " Size: 32B\n", - "array([cftime.DatetimeProlepticGregorian(1, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n", - " cftime.DatetimeProlepticGregorian(1, 4, 1, 0, 0, 0, 0, has_year_zero=True),\n", - " cftime.DatetimeProlepticGregorian(1, 7, 1, 0, 0, 0, 0, has_year_zero=True),\n", - " cftime.DatetimeProlepticGregorian(1, 10, 1, 0, 0, 0, 0, has_year_zero=True)],\n", - " dtype=object)\n", - "Coordinates:\n", - " * time (time) object 32B 0001-01-01 00:00:00 ... 0001-10-01 00:00:00\n", - "Attributes:\n", - " long_name: Time\n", - " delta_t: 0000-01-00 00:00:00\n", - " avg_period: 0000-01-00 00:00:00\n", - " prev_avg_period: 0000-00-07 00:00:00\n", - " standard_name: time\n", - " axis: T\n", - " actual_range: [19723. 81204.]\n", - " bounds: time_bnds" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "season_climo.time" ] @@ -2976,7 +251,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -2997,623 +272,18 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'sst' (time: 4, lat: 89, lon: 180)> Size: 513kB\n",
-       "array([[[-1.80000091, -1.80000091, -1.80000091, ..., -1.80000091,\n",
-       "         -1.80000091, -1.80000091],\n",
-       "        [-1.80000091, -1.80000091, -1.80000091, ..., -1.80000091,\n",
-       "         -1.80000091, -1.80000091],\n",
-       "        [-1.80000091, -1.80000091, -1.80000091, ..., -1.80000091,\n",
-       "         -1.80000091, -1.80000091],\n",
-       "        ...,\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan],\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan],\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan]],\n",
-       "\n",
-       "       [[-1.80000055, -1.80000055, -1.80000055, ..., -1.80000055,\n",
-       "         -1.80000055, -1.80000055],\n",
-       "        [-1.80000055, -1.80000055, -1.80000055, ..., -1.80000055,\n",
-       "         -1.80000055, -1.80000055],\n",
-       "        [-1.80000055, -1.80000055, -1.80000055, ..., -1.80000055,\n",
-       "         -1.80000055, -1.80000055],\n",
-       "...\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan],\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan],\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan]],\n",
-       "\n",
-       "       [[-1.79765451, -1.79778063, -1.79787385, ..., -1.79807961,\n",
-       "         -1.79777992, -1.79756546],\n",
-       "        [-1.79777014, -1.79755759, -1.79743385, ..., -1.79935658,\n",
-       "         -1.79843915, -1.79809582],\n",
-       "        [-1.79993296, -1.7992065 , -1.79872835, ..., -1.79944003,\n",
-       "         -1.79964638, -1.79984283],\n",
-       "        ...,\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan],\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan],\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan]]])\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float32 356B 88.0 86.0 84.0 82.0 ... -82.0 -84.0 -86.0 -88.0\n",
-       "  * lon      (lon) float32 720B 0.0 2.0 4.0 6.0 8.0 ... 352.0 354.0 356.0 358.0\n",
-       "  * time     (time) object 32B 0001-02-01 00:00:00 ... 0001-11-01 00:00:00\n",
-       "Attributes: (12/14)\n",
-       "    long_name:       Monthly Means of Sea Surface Temperature\n",
-       "    units:           degC\n",
-       "    var_desc:        Sea Surface Temperature\n",
-       "    level_desc:      Surface\n",
-       "    statistic:       Mean\n",
-       "    dataset:         NOAA Extended Reconstructed SST V5\n",
-       "    ...              ...\n",
-       "    valid_range:     [-1.8 45. ]\n",
-       "    operation:       temporal_avg\n",
-       "    mode:            climatology\n",
-       "    freq:            season\n",
-       "    weighted:        True\n",
-       "    custom_seasons:  ['JanFebMar', 'AprMayJun', 'JulAugSep', 'OctNovDec']
" - ], - "text/plain": [ - " Size: 513kB\n", - "array([[[-1.80000091, -1.80000091, -1.80000091, ..., -1.80000091,\n", - " -1.80000091, -1.80000091],\n", - " [-1.80000091, -1.80000091, -1.80000091, ..., -1.80000091,\n", - " -1.80000091, -1.80000091],\n", - " [-1.80000091, -1.80000091, -1.80000091, ..., -1.80000091,\n", - " -1.80000091, -1.80000091],\n", - " ...,\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan],\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan],\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan]],\n", - "\n", - " [[-1.80000055, -1.80000055, -1.80000055, ..., -1.80000055,\n", - " -1.80000055, -1.80000055],\n", - " [-1.80000055, -1.80000055, -1.80000055, ..., -1.80000055,\n", - " -1.80000055, -1.80000055],\n", - " [-1.80000055, -1.80000055, -1.80000055, ..., -1.80000055,\n", - " -1.80000055, -1.80000055],\n", - "...\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan],\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan],\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan]],\n", - "\n", - " [[-1.79765451, -1.79778063, -1.79787385, ..., -1.79807961,\n", - " -1.79777992, -1.79756546],\n", - " [-1.79777014, -1.79755759, -1.79743385, ..., -1.79935658,\n", - " -1.79843915, -1.79809582],\n", - " [-1.79993296, -1.7992065 , -1.79872835, ..., -1.79944003,\n", - " -1.79964638, -1.79984283],\n", - " ...,\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan],\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan],\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan]]])\n", - "Coordinates:\n", - " * lat (lat) float32 356B 88.0 86.0 84.0 82.0 ... -82.0 -84.0 -86.0 -88.0\n", - " * lon (lon) float32 720B 0.0 2.0 4.0 6.0 8.0 ... 352.0 354.0 356.0 358.0\n", - " * time (time) object 32B 0001-02-01 00:00:00 ... 0001-11-01 00:00:00\n", - "Attributes: (12/14)\n", - " long_name: Monthly Means of Sea Surface Temperature\n", - " units: degC\n", - " var_desc: Sea Surface Temperature\n", - " level_desc: Surface\n", - " statistic: Mean\n", - " dataset: NOAA Extended Reconstructed SST V5\n", - " ... ...\n", - " valid_range: [-1.8 45. ]\n", - " operation: temporal_avg\n", - " mode: climatology\n", - " freq: season\n", - " weighted: True\n", - " custom_seasons: ['JanFebMar', 'AprMayJun', 'JulAugSep', 'OctNovDec']" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "c_season_climo.sst" ] }, { "cell_type": "code", - "execution_count": 33, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.02, 'Seasonal Surface Air Temperature')" - ] - }, - "execution_count": 33, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABPwAAATNCAYAAADYG0r+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdeZzN1f8H8NfnznJnBjO27DODSFmSLVmyVJaIUCn70iZJEkr6hr6hpE2SVIxQUikpirKlVCQtlCgZWbIb26z3/P6Y39yvaz7vcc84H/femdfz+5jHN+d+7vmcz+d+tnvueZ+3pZRSICIiIiIiIiIiogLBFegGEBERERERERERkTns8CMiIiIiIiIiIipA2OFHRERERERERERUgLDDj4iIiIiIiIiIqABhhx8REREREREREVEBwg4/IiIiIiIiIiKiAoQdfkRERERERERERAUIO/yIiIiIiIiIiIgKEHb4ERERERERERERFSDs8CMiIiJySP/+/WFZFpKSkgLdFCN++ukn3HTTTShZsiRcLhcsy8Lq1asD3ayA+fvvv2FZFipXrhzophARERH5YIcfERFRIZGcnIzhw4ejdu3aKFKkCKKjo5GQkICmTZti5MiR+PzzzwPdRDrL559/jm7duqFixYqIjIxE8eLFUaNGDXTq1AnPPfcc/vzzz4vangMHDqB169b49NNPERMTgyZNmqBZs2aIi4u7qO1w2gcffADLsmBZFsaMGXPR15/TSaz79/fff1/0thZkH330EcaNG4fNmzcHuilERET5Eh7oBhAREZHzVq5ciS5duuDEiRMICwtDfHw8ypQpgyNHjuDbb7/F+vXrMXv2bBw6dCjQTSUAQ4YMwSuvvAIAKFKkCKpXr46YmBjs2rULn3zyCT755BPs27cPU6ZMuWhtWrBgAY4ePYqbb74ZixYtgstVMH83njt3rve/582bh6eeegqWZdkuGxERgRo1aqBixYrG1n/ZZZehWbNmuco3btyItLQ0VK9eHWXKlMn1elRUlLE2UHaH35w5c1C5cmVcddVVgW4OERGRNnb4ERERFXApKSm4/fbbceLECXTs2BGvvPIKEhMTva8fO3YMixcvxsKFCwPYSsrxzjvv4JVXXoHL5cILL7yAe++9F2632/v61q1b8fbbbyM2Nvaituv3338HALRr167AdvYdPnwYS5cuhWVZKFasGJKTk7F27Vq0bNnSdvmKFSt694spjz32GB577LFc5ZUrV8auXbvw2GOPoX///kbXSURERAUPO/yIiIgKuKVLl+LQoUOIjY3FwoULERMT4/N68eLF0a9fP/Tr1y9ALaSzzZkzBwAwcOBADB06NNfrNWvWxFNPPXWxm4UzZ84AAKKjoy/6ui+Wd999FxkZGWjWrBnq1q2L6dOnY+7cuWKHHxEREVGwKpg/zxIREZHXX3/9BSA7VPDczj5/KKWwYMECtGnTBqVKlYLb7UbVqlUxdOhQ7N+/3/Y9K1aswJAhQ1C3bl2ULFkSUVFRuPTSS3HfffchOTnZ9j2ZmZl46aWXcPXVV6NYsWJwu92oUKECmjZtirFjx+LYsWO53nP48GGMGjUKNWrUQHR0NEqUKIFWrVph/vz5UErlWj4pKQmWZaF///5IS0vDuHHjUK1aNURFRSE+Ph7Dhw/HqVOncr0vKysLixcvxsCBA1GrVi3ExcUhJiYGV1xxBUaNGmU0FDrn89INIzx72+ysXr0almWhVatWYnlmZiYmT56MOnXqICYmBpUrV8a4ceN8Eo8MGDDAO2/c2XV9++23GDVqFBo2bIgyZcrA7XYjPj4effr0wZYtW/Js+7Zt23DPPfegWrVqiI6ORqlSpdCgQQOMHTsW+/bty7X8kSNHMGbMGO98lMWKFcM111yD119/HR6PR2e3+cgJ5+3Zsyd69eoFAHjvvfeQmppqu3xeSTty9hGQPS9gixYtULx4ccfm2/v+++9xxx13eOd8LFu2LG677Tb8+OOPtsuf3b4PP/wQTZs2RdGiRVG2bFn069fP59yePXs2GjRogCJFiqBMmTIYNGgQjh8/nqvOs4/BEydOYPjw4ahcuTKioqJQtWpVjBkzBqdPnxa3QfdzPTspzs6dO9G/f39UrFgR4eHhGDduHAD9czfnM83peD/7eLcsy1uvPwlbzt7HUnlex4ZTxzkRERUSioiIiAq0l19+WQFQcXFx6ujRo1rvTU9PV7fddpsCoACoChUqqLp166qYmBgFQJUvX15t27Yt1/vCwsKUZVmqTJky6qqrrlK1a9dWRYoUUQBUqVKl1JYtW3K955ZbbvGu59JLL1WNGjVS8fHxKiwsTAFQP/74o8/y27dvV/Hx8QqAioyMVPXr11dVq1b11tG3b1/l8Xh83jN79mwFQPXs2VO1aNFCWZalatWqpWrUqKFcLpcCoNq0aZOrbbt371YAlMvlUuXLl1f169dXl19+uYqKilIAVOXKldX+/ftzva9fv34KgJo9e7bf+7xBgwbe9uvI2bZ+/frZvr5q1SoFQLVs2dK2vEWLFqpjx47e/d+gQQNVq1Yt9eabb6pmzZqpMmXKKACqevXqqlmzZqpZs2ZqyJAh3nouvfRS7+dbu3ZtVbduXRUXF6cAqOjoaLVq1Srbds2bN09FRkZ6l8vZt26323bf/frrr6pixYrez71mzZrq0ksvVZZlKQDq1ltvzfW5++OPP/5QAFR4eLg6ePCgUkqpKlWqKADq3XfftX3Pzp07FQCVmJiY67Wc4/Dpp59WAFTZsmVVo0aN1CWXXKJ27typ3b7ExETxWHr++ee921+yZElVr149VapUKQVARUREqA8++EBs39SpUxUAValSJVW3bl3vfq9Zs6Y6c+aMGjp0qAKgqlatqmrVqqXCw8O9x5F0ft1xxx2qXr163vOrdu3a3vZdc8016tSpU7nak5/PNef8evTRR1Xx4sWV2+32Hj/jxo1TSumfu/v27ROP92bNmqk333xTKZX3Z3/uPpbK8zo2nDrOiYio8GCHHxERUQG3bds2b2dWgwYN1Pvvv6+OHTvm13sfffRRBUDVq1fPp8Pt9OnTavDgwQqAatiwYa73vfbaa2rPnj0+ZadPn1YTJkxQAFSrVq18Xtu4caMCoOLj49XWrVt9Xjt+/Lh6/fXXVXJysrfM4/Gohg0bejsezv7CvmzZMm/n4vTp033qyumQiIiIUDVr1vTprFy/fr2KjY1VANSyZct83nfs2DGVlJSkDh8+7FN+9OhRNWTIEAVA9e/fP9d+yE+H35gxYxQAZVmWGjRokPr+++9VZmbmed93oR1+YWFhqkyZMuqbb77xvnbmzBm/t2XOnDnqzz//9CnLyMhQb7zxhgoPD1dVq1ZVWVlZPq9v2LBBRUREKABq1KhR6uTJk97X0tPT1TvvvKO++uorb9nJkye9HYtDhw5Vx48f9762ZcsWVatWLQVATZs2zbaNefnPf/6jAKgOHTp4y3I+i5tuusn2Pf50+EVGRqqZM2d6O2cyMjJURkaGdvukDr9ly5Ypy7JU6dKlc3Xs5ez7YsWKqb1799q2r0iRIurtt9/2lu/evVtVq1ZNAVBdunRRcXFx6osvvvC+/vPPP6uSJUsqAGrp0qU+deYcg+Hh4apixYpq8+bN3td++eUXbwf9iBEjfN6X388155gMCwtTnTt39jk/c45dp85dEx1+0rHh5HFORESFBzv8iIiICoGcjracP8uyVI0aNVT//v3VggULVGpqaq73HDhwQLndbhUbG6t2796d6/WsrCzVqFEjBUCtXbvW77Y0b95cAVD//POPt+ydd95RANRDDz3kVx0rVqxQAJTb7Vb79u3L9frkyZO9X8bPHgWT0yFhWZbasGFDrvcNHz7c+yVbR3x8vIqJicnVkZOfDr+UlBTvKL+cv5iYGNWsWTP1yCOP2Lb77G3Lb4cfANuRYBeyLTl69+6tAKivv/7ap7xDhw4KgBo4cKBf9eSMRuvatavt6z/99JOyLEtVrVpVu405o/nmzZvnLdu6dau3A+vAgQO53uNPh98DDzyg3RY7Uodf/fr1FQC1ePFi2/c9/PDDCoB68sknbdv34IMP5nrPa6+95n39hRdeyPV6zg8B554nOccgALVo0aJc7/v444+9nYwpKSne8vx+rjnHZLly5Xw6i3Xk99w10eEnHRtOHudERFR4cA4/IiKiQuCxxx7DypUr0aFDB0RGRkIphW3btiEpKQl33HEHLrvsMqxevdrnPUuXLkVaWhratWuHSpUq5arT5XLhpptuAgCsWbMm1+sbN27Eo48+is6dO6Nly5Zo3rw5mjdvjj/++AMA8PPPP3uXjY+PBwB8+eWXOHLkyHm3Z/ny5QCA2267DeXKlcv1+qBBg+B2u7Fr1y5s27Yt1+tXXXUVGjZsmKu8UaNGAP43j965Vq5ciYceeggdO3ZEixYtvNt0/PhxnD59Gtu3bz9v28+nWLFiWLduHZ577jlcccUVAIDTp0/j66+/xjPPPINGjRqhS5cutnMaXoi4uDjcfPPNF1TH77//jrFjx6Jbt25o1aqVd//kHB8//fSTd9kzZ85gxYoVAIBRo0b5Vf+iRYsAAHfddZft61deeSUqV66Mv/76C//884/f7V63bh127tyJmJgYdOnSxVt+xRVX4KqrrkJmZiYWLFjgd31n69u3b77e549du3Zh06ZNKFOmDDp37my7TE653TkKAHfeeWeusrPnjxw4cGCu1+vVqwdAPk8qVqxoeyzddNNNSEhIwKlTp/D11197yy/0c73llltQpEgR2/fmuBjnri7p2HDqOCciosKFWXqJiIgKidatW6N169Y4c+YMNm7ciO+++w5Lly7F6tWrkZycjA4dOmDTpk24/PLLAQC//PILgOxkDM2bN7et899//wUA7Nmzx1umlMKQIUMwffr0PNtzdsdekyZN0LhxY3z33XeIj49HmzZt0KJFC7Rs2RL169fPNfF9TqdhzZo1besuVqwY4uPjsWPHDvzxxx/ebcpx6aWX2r6vTJkyAICTJ0/6lKenp+P222/HRx995Pc2XYioqCgMHz4cw4cPx969e/Hdd9/hq6++wkcffYSdO3di8eLF6NatG1auXGlkfQBQvXp1hIWF5fv9kyZNwuOPP55nMoGz98+OHTuQkZGB4sWLo0aNGn6tI+eYfOKJJzBx4kTbZXKSMOzZs8e2o9pOTrKOzp075+o46tWrFzZv3oy5c+figQce8Ku+s+V02johZ3+kpqaK52hOwpGzz9Gz2Z0Ll1xyiff/Y2NjxdfPPU9y1KhRAy5X7nEFlmWhRo0aSE5Oxh9//IH27dv7bEd+P9e89vHFPnd1SO126jgnIqLChR1+REREhUx0dDSuvfZaXHvttRgxYgTWrVuH9u3b49SpU3juuefw+uuvA4A3C+fu3buxe/fuPOs8c+aM97/nzp2L6dOno0iRInj22WfRpk0bVKxYEdHR0QCA3r17Y/78+cjIyPC+x+VyYdmyZRg/fjzmzZuHxYsXY/HixQCAxMREjBs3zif7bE5HQ04HnZ2yZctix44dOHHiRK7XpNFAOZ0U6pwMv08//TQ++ugjlCtXDpMnT0aLFi1Qrlw5uN1uAEDz5s3x9ddf+2yTKRUqVEDXrl3RtWtXTJ48GY8++iiee+45rFq1Cl9//TWaNWtmZD3nGyGVl7Vr1+Kxxx5DWFgYJk2ahM6dOyMxMRExMTGwLAuPP/44JkyY4LN/UlJSAADFixf3ez05x+QPP/xw3mXPPibzkpaWhoULFwLIzs57rh49euCRRx7Bhg0bsG3bNr87J3NcyH49n5z9kZKS4jNizo60P+wyd+d0sEtZvXNeP/c8yXG+8xKAz3l5oZ9rXvs4kOfu+UjtduI4JyKiwochvURERIVc8+bNMXjwYADA999/7y0vWrQoAGDMmDFQ2fP+in9JSUne982fPx8A8Nxzz+G+++5DtWrVvJ19AMTOwxIlSuDFF1/EwYMH8eOPP+Kll15C69atsWvXLgwYMADvv/9+rrYdOHBA3K6c0YfFihXT2R22crYpKSkJffr0QWJiorfDIK9tMi08PByTJ0/2hjGf/XmdrxPm1KlTjrUrZ/+MHDkSjz76KGrWrIkiRYp422S3f3I+F53Q5JzPffv27ec9Jlu1auVXnUuWLPG2oXPnzrAsy+evUqVK3lGLOSMBg0XO/mjWrNl598fff/990dp18OBB8bWcc/bs89KJzzWHU+euk+ebk/uDiIgKD3b4EREREapWrQogO/wtR0647K+//qpVV07HQtOmTXO9lpGRgd9++y3P91uWhauuugpDhw7FypUr8eijjwKAd+QhAFx22WUAgK1bt9rWceLECe8X+ZxlL0Re23T48GExXNIJLpcLiYmJAHw/r5zRQlJny44dOxxrU177B/Cduy9H9erVERkZiWPHjtnOs2gnv8dkXnI68YoVK4ayZcva/pUsWRIAMG/ePLGDJxBy9sdvv/2WZyj1xbZt2zbb9uTMHQr4npdOfK458nvunjuNwLmcPN+c3B9ERFR4sMOPiIiogDt06NB5Oym++eYbANmdMDk6duyIyMhILF26VGtC+5zRfDkj7M42e/bsPEf/2LnmmmsAAHv37vWWtWvXDgDw3nvvYf/+/bne89prryEtLQ2JiYnaIZh28tqm5557DllZWRe8jhx5jVoEskfE5XR0nv155XTabt68GZmZmT7v8Xg8mD17trE2niuv/bN8+XLbDr/o6Gi0bdsWADBlyhS/1tOtWzcAwNSpU410vB0+fBjLli0DAHz88cfYv3+/7d/OnTsRFRWFXbt24auvvrrg9ZpSvXp11K5dG0eOHMFbb70V6OZ4/fPPP1iyZEmu8k8//RS7du1CkSJFfELRTX+uZ8vvuZvzPilktlSpUoiLi8OZM2ewZcuWXK+/8cYb+W2yo/uDiIgKD3b4ERERFXDz5s3DVVddhddffx2HDx/2ee3YsWN44oknMG/ePADAgAEDvK9VqFABw4YNQ0ZGBtq1a5cri69SCt9//z3uu+8+n2ydOckDHn/8cZ/Ovc8++wwjR45EVFRUrjbOnz8f//3vf3OFHR4+fBhTp04FANSvX99bft1116FRo0ZIS0tDjx49fDrJli9fjvHjxwMAHn300fOO1PFHzjY9/PDD3vkDlVJ46623MGXKFNttyq8OHTqgV69eWLlyZa55xTZv3oybb74ZJ06cQPny5b0dnwBQt25dVKhQAfv27cPYsWO9HQWpqakYNmyYOBrShJz98/TTT2Pnzp3e8g0bNmDgwIHi/hk7diwiIiLwxhtv4LHHHsPp06e9r2VkZODdd9/FunXrvGX33nsvqlatilWrVqFXr17Yt2+fT30nT57EwoULMXz4cL/avWDBAmRkZCAhIQEtW7YUl4uNjUWnTp0ABF9Y7zPPPAPLsnD//ffjjTfeyNXZ+9dff2HChAnezK8XQ3h4OB544AFv8gkgezTukCFDAGRn0T47pNf053q2/J67OR3oa9eute10syzLe/4NHz7cJ4HJnDlzMGvWLO225nByfxARUSGiiIiIqEB78cUXFQDvX5UqVdTVV1+tqlevriIjI73lI0aMyPXejIwM1bt3b+8y5cqVU1dffbWqW7euKlasmLf8t99+875n165dqmTJkgqAio6OVldddZWqXLmyAqBat26tevXqpQCo2bNne9/zwgsveOuqWLGiatSokapdu7a3fRUrVlS7du3yadv27dtVpUqVFADldrtV/fr1VbVq1bz19OnTR3k8Hp/3zJ49WwFQ/fr1s91Xq1atUgBUy5Ytfco3btyo3G63AqBiY2NVgwYNVIUKFbzradmypQKgVq1a5fO+fv365drW87nqqqu82xAVFaVq166tGjZs6F0fAFW8eHH11Vdf5Xrv3LlzvctccsklqmHDhio2NlYVLVpUTZkyxXbbpG0+V17bcvz4cVW1alUFQEVGRqo6deqoGjVqKACqZs2aavjw4QqAGjt2rG2bIyIiFAAVExOj6tevr6644goVFRVlu77ffvtNValSRQFQLpdLXXHFFapx48bqsssuU2FhYQqAaty48Xn2crbGjRsrAGr06NHnXXbx4sUKgIqLi1NnzpxRSim1c+dOBUAlJibmWj7nczAlMTFR3P/Tpk3zbnuxYsVUgwYNVMOGDVXZsmW97Xj11Vf9bl9e26WUfMzknF933HGHqlevnrIsS9WuXVvVqVNHWZalAKhGjRqpkydP5qozP5+rP+dXfs/dHTt2eK8/iYmJ6tprr1UtW7b0Wddvv/2mihYtqgCoIkWKqPr166vy5ct797e0j/05Nkwe50REVDhxhB8REVEBN3jwYKxcuRIjR45E06ZNkZWVhc2bN2PPnj1ITExE37598dVXX+HZZ5/N9d7w8HDMnTsXn376Kbp06QIA+PHHH7Fv3z5cdtllGDJkCFavXu0zH1dCQgLWr1+Pbt26ITIyEr///juioqIwfvx4fPbZZwgPD8+1nltuuQXPPPMM2rRpg7CwMPzyyy/Yt28fateujaeeegq//vorEhISfN5TrVo1/PjjjxgxYgQSEhKwZcsWHDhwAC1atMDcuXMxZ84cI6P7AKBBgwZYu3Yt2rRpA4/Hg99//x1lypTB1KlTMWfOHCPryLF8+XLMnTsXPXv2xGWXXYb9+/dj8+bNOH36NBo3bownnngC27Zt845cOlvv3r2xcOFCNGjQACdOnMBff/2F66+/Ht999x0aNGhgtJ1ni42Nxbp169C3b1/ExsZi27ZtSE9Px/Dhw7F+/fo8E6f07t0bmzdvxoABA1C6dGn8+uuvOHjwIGrVqoVx48ahffv2Pstffvnl+Omnn/D000+jUaNG2LNnDzZv3oz09HS0bNkSU6ZMwYIFC87b5u3bt+O7777ztuF8brzxRpQqVQrHjx+3DVcNpPvvvx+bN2/GXXfdhUsuuQRbtmzB9u3bUbp0afTo0QPvvfce+vbte9Ha43a7sWbNGjz44INISUnBtm3bkJCQgEcffRSrVq2yzU5r6nM9V37P3UsvvRRLlixBy5YtcfToUaxbtw5r1qzxGYV8+eWXY+3atWjfvj1cLhe2bduGKlWqYMmSJRg0aJB2W8/m1P4gIqLCw1KKE0MQEREREdGFSUpKwoABA9CvXz+fzN1ERER08XGEHxERERERERERUQHCDj8iIiIiIiIiIqIChB1+REREREREREREBQg7/IiIiIiIiIiIiAoQJu0gIiIiIiIiIiIqQDjCj4iIiIiIiIiIqABhhx8REREREREREVEBwg4/IiIiIiIiIiKiAoQdfkRERERERERERAUIO/yIiIiIiIiIiIgKEHb4ERERERERERERFSDs8CMiIiIiIiIiIipA2OFHRERERERERERUgLDDj4iIiIiIiIiIqABhhx8REREREREREVEBwg4/IiIiIiIiIiKiAoQdfkRERERERERERAUIO/yIiIiIiIiIiIgKEHb4ERERERERERERFSDs8CMiIiIiIiIiIipA2OFHREQk+OabbzBu3DgcO3Ys12utWrVCq1atLnqbLqaXX34Zl19+OdxuN6pUqYLx48cjIyMj13IHDhxA//79Ubp0acTExKBJkyb48ssvbev84osv0KRJE8TExKB06dLo378/Dhw4kGu5xx9/HDfddBMqVqwIy7LQv39/7fb7066UlBRMmDABrVq1Qrly5VC0aFHUqVMHzzzzDFJTU7XW58/++ueffzBs2DC0bNkSxYsXh2VZSEpK0lrPX3/9hW7duqF48eIoWrQo2rRpg02bNtkuu2DBAlx11VWIiopChQoVMGzYMJw8ebLQr4uIiIiooGOHHxERkeCbb77B+PHjbTv8pk+fjunTp1/8Rl0kEyZMwIMPPohu3brh888/x+DBgzFx4kTcf//9PsulpaXh+uuvx5dffomXXnoJixcvRtmyZdG+fXusWbPGZ9k1a9bgxhtvRNmyZbF48WK89NJL+OKLL3D99dcjLS3NZ9kXXngBhw8fRufOnREZGandfn/blZycjBdffBH169fHzJkz8fHHH+PWW2/FuHHjcNNNN0EpZXR/7dixA/Pnz0dkZCQ6dOigvV0HDx7Etddeiz/++AOzZs3CwoULkZqailatWmHbtm0+y86fPx89evRAo0aNsGzZMowdOxZJSUno1q1boV4XERERUaGgiIiIyNazzz6rAKidO3cGuikX1aFDh1RUVJS65557fMonTJigLMtSW7Zs8Za98sorCoD65ptvvGUZGRmqZs2a6uqrr/Z5f6NGjVTNmjVVRkaGt+zrr79WANT06dN9ls3KyvL+d5EiRVS/fv20tsHfdp08eVKdPHky1/tzPvuvvvrqvOvS2V9nb9eGDRsUADV79my/t2vkyJEqIiJC/f33396y48ePq9KlS6vu3bt7yzIzM1X58uVV27Ztfd4/f/58BUAtXbq00K6LiIiIqDDgCD8iIiIb48aNw8iRIwEAVapUgWVZsCwLq1evBpA7pPfvv/+GZVl49tln8cwzz6By5cqIjo5Gq1at8McffyAjIwOPPvooKlSogLi4OHTt2tU2lPXdd99FkyZNUKRIERQtWhTt2rXDjz/+eDE22euzzz5DamoqBgwY4FM+YMAAKKXw0Ucfecs+/PBD1KhRA02aNPGWhYeHo3fv3vj++++xZ88eAMCePXuwYcMG9OnTB+Hh4d5lmzZtissuuwwffvihz7pcrgt7RPG3XUWKFEGRIkVyvf/qq68GAOzevfu869LZXya267rrrkNiYqK3LDY2Ft26dcOSJUuQmZkJAPj222+xb9++XG267bbbULRo0Vz7uzCti4iIiKgwYIcfERGRjbvuugsPPPAAAGDRokVYv3491q9fj/r16+f5vldeeQVff/01XnnlFbzxxhv4/fff0alTJ9x55504ePAgZs2ahcmTJ+OLL77AXXfd5fPeiRMnokePHqhZsyYWLlyIuXPn4sSJE7j22muxdevW87Y5MzPTrz91njDVX3/9FQBQp04dn/Ly5cujdOnS3tdzlr3yyitz1ZFTtmXLFp86pWXPrtMEf9slWblyJQCgVq1afq0L8G9/XYgzZ87gzz//FLfrzJkz+Ouvv3zadO6yERERuPzyy3O1ybIsnw7sgrIuIiIiosIq/PyLEBERFT6VKlVCQkICAKBevXqoXLmyX+8rXrw4PvroI+9IrkOHDmHYsGG4/PLLsXjxYu9yv//+O1588UWkpKQgNjYWu3fvxtixYzFkyBBMnTrVu1ybNm1QvXp1jB8/Hu+++6643r///htVqlTxq42rVq3KM+HI4cOH4Xa7bUe+lSxZEocPH/ZZtmTJkrbL5bx+9v9Ly55dpwn+tsvOzz//jMmTJ6Nr1662nVB26/J3f12Io0ePQillZH///fffPmVhYWEICwsrcOsiIiIiKqzY4UdERGRQhw4dfMI2r7jiCgBAx44dfZbLKU9OTkbt2rXx+eefIzMzE3379vWGLwJAVFQUWrZsiVWrVuW53goVKmDDhg1+tbFGjRrnXcayLL9fM7FsXnVIlFLIysryKTs7XFinXTn+/vtv3HTTTYiPj8cbb7zh89rZnwuQ3XGVU09+1pVfTuzvc7etoKyLiIiIqLBihx8REZFB5448yskwK5WnpqYCAP79918AQKNGjWzrPd/cb5GRkbjqqqv8auPZo6vslCpVCqmpqTh9+jRiYmJ8Xjty5AgaNGjgs6zdCLYjR44A+N92lypVCoD9yLojR47Yjtg6nzlz5uSayy0nXNnfdp1t165daN26NcLDw/Hll1/mWiYiIsLn37Nnz0b//v219teFKFGiBCzL0t7fZcuWzbXs+fZ3QV0XERERUWHBDj8iIqIgULp0aQDA+++/75O4wF8mQ3pz5qL75Zdf0LhxY2/5/v37cejQIdSuXdtn2V9++SVXHTllOcvm/P8vv/yCDh065Fr27Dr91alTJ3FUo7/tyrFr1y60atUKSimsXr0alSpVyvXec9eVs7919teFiI6ORrVq1cTtio6ORtWqVXO1qWbNmt7lMjMz8fvvv6NHjx6Fcl1EREREhQU7/IiIiARutxtAdlIBp7Vr1w7h4eH4888/ccstt2i/32RIb/v27REVFYWkpCSfDqykpCRYloUuXbp4y7p27YrBgwfju+++8y6bmZmJefPmoXHjxqhQoQIAoGLFirj66qsxb948jBgxwjvK8Ntvv8W2bdswbNgwja3NVqpUKe+Ir3P52y4gO6y6VatWyMrKwurVq8UO14YNG9qW6+yvC9W1a1e8+OKL2L17N+Lj4wEAJ06cwKJFi9C5c2dvSHPjxo1Rvnx5JCUl4fbbb/e+//3338fJkyfRrVu3QrsuIiIiokJBERERka1Vq1YpAOree+9V33zzjdqwYYNKSUlRSinVsmVL1bJlS++yO3fuVADUs88+a1vHe++951M+e/ZsBUBt2LDBWzZx4kQVHh6u7r33XvXhhx+q1atXq3fffVc9/PDD6oknnnBuQ2089dRTyrIs9dhjj6nVq1erZ599VrndbnX33Xf7LJeamqpq1aql4uPj1fz589WKFStU165dVXh4uFq9erXPsqtWrVLh4eGqa9euasWKFWr+/PkqPj5e1a5dW6Wmpvosu3r1avXee++p9957T0VFRalWrVp5/33gwIHztt/fdv3777+qatWqyu12q3nz5qn169f7/O3evdvo/lJKebfjmWeeUQDU/fff7y07nwMHDqjy5curOnXqqA8//FAtXbpUtWjRQhUrVkz99ttvPsvOnTtXAVD33HOPWrVqlZo5c6YqXry4atOmTa56w8LC1HXXXVfg1kVERERUWLHDj4iIKA+jR49WFSpUUC6XSwFQq1atUko50+GnlFIfffSRat26tYqNjVVut1slJiaqW2+9VX3xxReObF9eXnrpJXXZZZepyMhIlZCQoMaOHavS09NzLbd//37Vt29fVbJkSRUVFaWuueYatWLFCts6ly9frq655hoVFRWlSpYsqfr27av+/fffXMu1bNlSAbD9y/kMzsefduV8PtLf2LFj/VqXUv7vr7zW548dO3aoLl26qNjYWBUTE6Ouv/569cMPP9gu+/bbb6srr7xSRUZGqnLlyqmhQ4eqEydO2Lbp7OO5oKyLiIiIqLCylPr/2a2JiIiIiIiIiIgo5OWd8o+IiIiIiIiIiIhCCjv8iIiIiIiIiIiIChB2+BERERERERERERUg7PAjIiIiIiIiIiIqQNjhR0REREREREREVICww4+IiIiIiIiIiKgACQ90AyQejwd79+5FsWLFYFlWoJtDRERERERERGRLKYUTJ06gQoUKcLk4tooCL2g7/Pbu3Yv4+PhAN4OIiIiIiIiIyC+7d+9GpUqVAt2MoNTLugzLkIxtB3bjkksuCXRzCjxLKaUC3Qg7x48fR/HixfHn30koFhsT6OYQEREREREREdk6kXIal1buj2PHjiEuLi7QzQk6x44dQ6USl6AIIlAHpfCF2h3oJhV4QTvCLyeMt1hsDGLZ4UdEREREREREQY5TktnrUaIuElAMPXEZnsQGbN++HdWrVw90swo0BpYTEREREREREZEjdu3ahZX4B91RDRWtImiCcuh5WbNAN6vAY4cfERERERERERE5okflxmiAMki0igEAuqAKfsERrF+/PsAtK9jY4UdERERERERERMZt2rQJP+AguqGqt6y45UY7xKNv0xsRpGklCgR2+BERERERERERkVFKKfRucAOuRyWUsqJ8XmuPBBzAGXz44YcBal3Bxw4/IiIiIiIiIiIyatmyZdiNk+iIxFyvRVnh6IIqGHxLb2RkZGjV++qrr+LKK69EbGwsYmNj0aRJEyxbtsz7ulIK48aNQ4UKFRAdHY1WrVphy5YtF7w9oYYdfkREREREREREZExWVhbu6dgdnVAZMVaE7TLXojxcsDAgsrZW3ZUqVcLTTz+NjRs3YuPGjbjuuutw8803ezv1Jk+ejOeffx7Tpk3Dhg0bUK5cObRp0wYnTpy44O0KJZYK0oDplJQUxMXF4cCRhYiNjQl0c/LFQmDScSsE5UdKRERERFRoucM6BroJxmV4PrMt96gsI/UXxH0W6tKyPg10E4JWSspplCnZHcePH0dsbGygmxNwA6wrsBS78BQaI9ySx5ptVocwG7/hn+OHLmi/lSxZEs8++ywGDhyIChUqYNiwYXjkkUcAAGlpaShbtiyeeeYZ3HvvvfleR6jhCD8iIiIiIiIiIjLi1KlT+BB/4RZcmmdnHwDURSlUQBH0jLsyX+vKysrCggULcOrUKTRp0gQ7d+7E/v370bZtW+8ybrcbLVu2xDfffJOvdYSq8EA3gIiIiIiIiIiICoa+Ra9EaUShIS4577KWZaG7qoZnsAk7d+5EqVKlfF53u91wu9253vfLL7+gSZMmSE1NRdGiRfHhhx+iZs2a3k69smXL+ixftmxZ7Nq16wK2KvQETYdfWloa0tLSvP9OSUkBkB0We25obJjLPv7bhTDbcu3QWmFx3aHpUmitVI9SHq36JdL2MtSX6Pxclv11xFRoChEREQVWmKX3FShLZTrUEucFKvxS+j4SGdbhIreETDMVZs3Q4IIt7LYGaPDej7As//piqlixiFORGD9+PObMmePz2tixYzFu3Lhc76lRowY2b96MY8eO4YMPPkC/fv2wZs0a7+vnrlsp5Xd7Coqg6fCbNGkSxo8fH+hmEBERERERERHRBXBZFlwu/zvYrCwLPXv2xNSpU33K7Ub3AUBkZCSqVasGAGjYsCE2bNiAl156yTtv3/79+1G+fHnv8gcOHMg16q+gC5o5/EaPHo3jx497/3bv3h3oJhERERERERERkSbLBbjC/P8DsjvxYmNjff6kDr9zKaWQlpaGKlWqoFy5clixYoX3tfT0dKxZswZNmzZ1YlODVtCM8JPisiNdUYh0RfsWeoRh9Z40+/IsYXkphFaYVNIVJuyusEhhvRn2xa7AhNYGImuwbhhxoDIbS6zzTDB6LlNh2Qy/DhyG7hIRERVsDNGVSVObRLjaO7peomAlnRN2UwNEuEL32uIEy4LWCD+droDHHnsMN954I+Lj43HixAksWLAAq1evxmeffQbLsjBs2DBMnDgR1atXR/Xq1TFx4kTExMSgZ8+e+hsSwoKmw4+IiIiIiIiIiEKfywWE2feX2tIZ+vPvv/+iT58+2LdvH+Li4nDllVfis88+Q5s2bQAAo0aNwpkzZzB48GAcPXoUjRs3xvLly1GsWDG9jQhx7PAjIiIiIiIiIiJjXC4L4eHOjPB78803867KsjBu3DjbZB+FScHq8PMI4ZRiCLBm+GVGqt7y4fahvpFRsbblWdAbAixmJVZCOKgUbqoZ2iyWu/wPf1VCG7Wz5uhGvgrVS+3xQDOjsrBvdEN9mWnZeaYyjIUKZkIjIiIKrFC4F0tTmwRb2wvbcxyZI4XoSt+/pOXtyqVlCyvLAlxhGkk7HGxLYVWwOvyIiIiIiIiIiCigLJfWmCByQPB3+ClP7hFouiPVpKQdwsg/JU3ar1mPOBLuzHHb4rCwCL16JMJ+ELdLYEm/ULik5CU25cKyuskwxM9WojkK0QqP0qo+3GU/ejMt67RWPaSPv+gSEVFhY+reF2yjtAJFd39yvwUf6TPhc2LgOH2e6I7A0/2+KdVvgT1W+eWyLK0RfhziZ17wd/gREREREREREVHIsCwgTKO/lP195rHDj4iIiIiIiIiIjLGs7MQdGu9wrC2FVfB3+KWeACLPCUUVQmtVVpp9HZnp9uVSKK5u6K5u8g+70FcASgqVdTrwXUo0IbXHyrAv9tiEJIuhtZrbqhsCrLleKTlHmGW/fKiE7gYqZIXhFMEn1D+TYAqnCtS+DKZ9QEQXV0G9PwfbdU23PcG2P3UE2743RdouaTqeMKuNk80pkNKzlhqpx1SIrm4orpgkUkwAav/d17aPITU0viNeLJYLcOnkMWF/n3HB3+FHREREREREREQhw7IsrRF+7O8zjzNQEhERERERERGRMS4rO4DP379Q99VXX6F3795o0qQJ9uzZAwCYO3cu1q1bF7A2Bf0IP3X6CFTYGd9C3ZBb3ey9uhlhJVJYqRBibCUMMbNeTerQLDP12GQB1u6l1w0BFsKjdUOGlbI/FjI89mHi0tBxBWW/3hAXyiErVDDwGCx8ocTMSmpOYTt/QuGYDVQbAxWy6lFf2JZLYZaZHmE6HkNM7X9T+9PJ40FaZ6hfY6VncUmWEJZpueyPTZd1g3abCgvd7ztSiK40dZK0vPbXLOk7faYwDVhGqrC8/fVI2dSjTp+xWbLwyg7pLRxZej/44AP06dMHvXr1wo8//oi0tOzj48SJE5g4cSKWLjUTCq+rAPSjEhERERERERFRsHCFWYiI8P8vhPv78NRTT2HGjBl4/fXXERHxv9wGTZs2xaZNmwLWrqAf4UdERERERERERKEjJ6TXbyHc47dt2za0aNEiV3lsbCyOHTt28Rv0/4K/wy/9DJB+zvhdKRRXDPUVxv9KmXikozJcGF4sZQxKGG6/fJCxSg8MdBP+x/OlbXGWZf9ZKWGotoL9sH2VZb98ZFgH23KdEchERAVRqIeDOtn+YAsXDvXPypRQ2A/B1kbpWA5UduBM2K9Xtx6p/U7v/2AK9S1MmYcBORw03NXuIrcksEwcO9K+dLti7N+QKYTEenJP+5S9AilGV8iKK5GmhBJDeoUpA6TQ3fRT/i+fwZDes+km7Qhl5cuXx44dO1C5cmWf8nXr1qFq1aqBaRQY0ktERERERERERAZlz+Hn/18odw3ee++9ePDBB/Hdd9/Bsizs3bsX8+fPx4gRIzB48OCAtSv4R/gREREREREREVHIsCzojfAL4R6/UaNG4fjx42jdujVSU1PRokULuN1ujBgxAkOGBCY5KxAKHX6Z6UDmOQMRM4VhwZlCSK8pHvsj0KoywtHVZng+sy2Xwlml8FSnSe3UEeFqb1suBFOH9EUhGIV6GAcR0YXSCYMKRMbNvNZLlF/BdkyZak+gtkuaej49yz5Lo27WUxOc3jfSPtDdVqkeKcOzSwlfDjI/ty8PD0yor3QshLkibMtdwrchS9nvT3e6zfdiIQutEjIYS9NlSd9BdelOK6WOvGVfT5j9PtMN9VVZwn7wSNOG2ZRLyxZSlpU9cq+wmDBhAsaMGYOtW7fC4/GgZs2aKFq0aEDbFPwdfkREREREREREFDJcLgthGiP8Qnksz/Hjx5GVlYWSJUuiYcOG3vIjR44gPDwcsbGxAWkX5/AjIiIiIiIiIiJjrP/P0uvvXyj3+N1xxx1YsGBBrvKFCxfijjvuCECLsgX/CL+MDCD9nHGgUnZdKRuvRDNjjFVllF79utQq2+Iwy/5jcrlucLI12qRwXCIiomAjhd1K4WN2pJAsp2ln3YR96BvC2hhoDVHBF2wZuU0wlcE46EJ3pZBKKQw1Y5l9ecSN9uWGRGYK+yf1kG2xykyzL88SMs7aheNK2WlNhaFqfkdXB5/Sqz/SPnRXRQghvWFCV4cU6isRQptt91uG/edUWGWH9Or0uYRuj993332H559/Pld5q1atMGbMmAC0KFvwd/gREREREREREVHIyBnhVxikpaUh0yanREZGBs6cOROAFmUrJLufiIiIiIiIiIguBisMcIUrv/8s6+InMDKlUaNGmDlzZq7yGTNmoEGDBgFoUbbgH+GXbhPSK5G6j8OFrEbVR+ezURcoTS8swCUNRw7+T4+IiIJMqGeQ9agvbMtd0rQewj00wuW2LbcLQ5MyEooha5oZDHVD34ItoypRQRHKobu61wVpW53eB8ZCd3VCWfNskPD9MXWJfXlUJ736T39oW6xOH7VfXgqv1QkrBezDdzOzhGWluoV7kxi6qzntlrS8JF3IoiuRpu+S+gx0h6LZtf+UfSbkwspCaHfi6ZgwYQJuuOEG/PTTT7j++usBAF9++SU2bNiA5cuXB6xdHOFHRERERERERETmWNl96v7+hbJmzZph/fr1iI+Px8KFC7FkyRJUq1YNP//8M6699tqAtYtjxIiIiIiIiIiIyJjsOfw0RviFbs4OAMBVV12F+fPnB7oZPoKmwy8tLQ1paf/LapOSkpL9Hx6Ve7hsuBTiKoT+SuWBops9Ssyc9Ll9cZj9kHgP7Idxu6zgyvZLRBSKpDAoKXTUEgbZp3v0JvaVwrikDLI6WWgBIDKsg215hucz+zcIGefFe5lmdkCXFAIkZmAU6pFWYPcTszS1RpgQFiyEr2Qp+8bohvRmeoT7vyDc1U5reV1q33TNN2iGcenWIxwjVvwwM+ulkBfKobummAoB1iVd76R7IjzCRVzKOKsb0qsbximE6ErtkbLritcvqf26y9tdB6XQXTHUVyh3OnRXpNkeiW5Ir05fQqapbS0YLCv0R+7lx5kzZ5CR4Xvtio2NDUhbgmb3T5o0CXFxcd6/+Pj4QDeJiIiIiIiIiIh0uRQsnb9At/cCnD59GkOGDEGZMmVQtGhRlChRwucvUIJmhN/o0aMxfPhw779TUlKyO/3Cw3KP6NMdySf01qu90+yXj4jSKreK97ZfXpJ+2r5c6v52CR9ThFC/1dq+mrxbRUREZzE1miHTY/+rvyVc88Ms+2u+tLxSK23LxQnQDY3qjrDsR7dpj+TTHbEnkZbXHAVmS5onXHi+sIT7drg0UlC6/+v+LC7t4wy9Y1mdPCjUY2gyct3tMjQiUCU/b6R+K3GEgdZQIEmj2zjyT2YqWZC0j6UR0OHS9yBT15Esh0ccmxrRLI3kk8rtRueZSsIhjPxTWcIIPKdpjvATO5V0R3va9T2E8xv32QrTCL+RI0di1apVmD59Ovr27YtXXnkFe/bswWuvvYann346YO0Kmg4/t9sNt1v48kBERERERERERCEhew4/nTc41hTHLVmyBG+99RZatWqFgQMH4tprr0W1atWQmJiI+fPno1evXgFpVyHpbyUiIiIiIiIioovBgoJl+f8Xyo4cOYIqVaoAyJ6v78iRIwCA5s2bY+3atQFrV9CM8BOFh+UeLqsZuiuGxIqhskLorkuIoT3+jm2xUpoTi0qhQfZLA+HOTsJNRFQYmArhkpJhSKG4usu7YH/vk5NwGPpNL2uFfblu+JLuROQmQnHzorNecZvMNEVkKg5GaL/KEmKVNROpBCxex1SonEQ41tSfz9iWW5c+4mRr6CIwFbYqYciwfqKpLOH7UVhkjP0KpOtRlmaSD+E6qP39Tvcep31P1AjT1U62YSgEWHe9priE56MwzenBhHKr1hO5y1JSAEzyo3GFhIMhvZMmTcKiRYvw+++/Izo6Gk2bNsUzzzyDGjVqeJdRSmH8+PGYOXMmjh49isaNG+OVV15BrVq1jLenatWq+Pvvv5GYmIiaNWti4cKFuPrqq7FkyRIUL17c+Pr8xRF+RERERERERERkjBUGuMKV33+WRkjvmjVrcP/99+Pbb7/FihUrkJmZibZt2+LUqVPeZSZPnoznn38e06ZNw4YNG1CuXDm0adMGJ06cML6tAwYMwE8//QQgOz/F9OnT4Xa78dBDD2HkyJHG1+ev4B/hR0REREREREREIcOyFFwuZ0ZyfvbZZz7/nj17NsqUKYMffvgBLVq0gFIKL774IsaMGYNu3boBAObMmYOyZcvi7bffxr333mu0PQ899JD3v1u3bo3ff/8dGzduxKWXXoq6desaXZeOoO/wsy59GFZsrE+Z2jlZWFgK6RXKhWx5VpiQPKTYbfblghCec5KIiAyRQm5dlhSiqxcCLIX5iPcg6YXMz7Xql0N0NDMJmgprMkQM17LjdIZhXdJzkKl9rJvBUGIq9M1UPULGSd3wNLVtQq4yq8YY+zqoUDKRHdjpsONAiQzroLV8hvrMtjw8Mtq23MoUrl+e07bF4pQHuqHBTk9/oRMuq52NVwhrlrLxGrqWahPvTcLzVGP7jKnqp7H21ZhqZyF0MbP0Hj9+HABQsmRJAMDOnTuxf/9+tG3b1ruM2+1Gy5Yt8c033xjp8CtZsiT++OMPlC5dGgMHDsRLL72EYsWKAQASEhKQkJBwweu4UAzpJSIiIiIiIiIiYyxAM2mHQnp6OlJSUnz+0tLS8lyPUgrDhw9H8+bNUbt2bQDA/v37AQBly5b1WbZs2bLe1y5UTluB7NGDqampRuo1KehH+BERERERERERUQhxaY7ws4C3334b7dr5JicdO3Ysxo0bJ75tyJAh+Pnnn7Fu3brcVZ4zMaBSKldZfjVp0gRdunRBgwYNoJTC0KFDER1tP8p41qxZRtapK+g7/NSWSVBFzwmxjbHfiXAJYU0VhxpuFRERFRS64VFS6JWC/RwlUrlEDN3VzZwqhv8EKHRXWl7KIKsTWgs4n73XRB1OZ5U1td5AZELOq9zJEDdADFvTzlBpQwoRs+qO97sOKvhMhPoWVBke+9BdJZz/WbAPxQ0Pj7JfQaYQoiuRls8QRvZkCKHB0nVHCosV26MRXut0iK7TIb1S6K40R5zQ0+H5xj6BghURodUcteGx3GUn8x6JVthYloKlOYdfz549MXXqVJ8yt1uYcg3AAw88gI8//hhr165FpUqVvOXlypUDkD3Sr3z58t7yAwcO5Br1l1/z5s3DCy+8gD///BNAdlhxsI3yC/oOPyIiIiIiIiIiCh2WpTf9rwUgMjISsefkcLCjlMIDDzyADz/8EKtXr0aVKlV8Xq9SpQrKlSuHFStWoF69egCyQ3DXrFmDZ555RmczRGXLlsXTTz/tXd/cuXNRqlQpI3Wbwg4/IiIiIiIiIiIyx4LeCD+NSNv7778fb7/9NhYvXoxixYp55+WLi4tDdHQ0LMvCsGHDMHHiRFSvXh3Vq1fHxIkTERMTg549e2puSN4yMjJQuXJlHD58mB1+uqxao3Nl6SUiIgoUKeRWN3RXytKrHRIrhcToZlTVDd0NVNiqbgiQkxlznc7GG6gwZVPLO52NVzfkNhChvsKy6ofH7esQWA2e0lqeCoZQyMgrhdzqku6tYrmU6V6YMEy6R1sR9qG+lhC6qzKFcL1U4XqRctK+njNCPbohvRK765GpkFsD0x3kubz4/CK0X1peN9O6tH9cQi9UeO6uFOUx9PkVEE5m6X311VcBAK1atfIpnz17Nvr37w8AGDVqFM6cOYPBgwfj6NGjaNy4MZYvX+7NpGtKREQEfv31V2NzA5oU9B1+REREREREREQUQrzZd81T6vz1WpaFcePG5Znww5S+ffvizTff9Ib4Bgt2+BERERERERERkTEuFxAW7n+HX/CNj/Nfeno63njjDaxYsQINGzZEkSJFfF5//vnnA9IudvgRERHZSbPPjhgZHmlbni5kBgyzhFutFLorZQDUDbPMMhSWqZshVbNczMZrKhxUYiJ011R4cbCFBjsdcitxOqzMWD06Ib0Oh7jTxXFmsd7yuudoTFe95YNIhKu9bbluqK8UiuuCELordQ3o9hi4hHu0EOqLdPtnAClcVgzdPXJcqx6RFG5qx1QoruM0Q3el5aVpGWxCcbPrFzIqS8uH26w3lVl6z6Yd0hvCPX6//vor6tevDwD4448/fF4LZKgvO/yIiIiIiIiIiMgcF4CwEO7F07Bq1apAN8EWO/yIiIiIiIiIiMgcy4KlMwq1EJo6dar2ewYMGOB34hF2+Bng+ehO23JXlzcvckvyR22boLW8VWOMfT1bnsxdKAwRt+qM01qnNin0QhpTHBljX55+2r48qpN+m4goOJ38QG95IVQrwl3EttySJhXOFMI+dLPi6tLMxqs8QoiL0xlkpf3gcIixfVsCFLqrnfHQ4RBa3fUGU2htXuUCcUJwE8e+Zh38uhRg0TfrLX/6Q73lpedWu3BTd/Bn7s2LlKE+TPpamiVMcyHdCyRhQv3SdVn6DnD6mH01h+3LceiobbEnRXgGSBfCU8OE7zBBNHrKWMeOuE1SVl+99VpiNl5hH0uhvnbLnxaO18LKsuRj13Z555ritNatW+cZurty5Urb8mHDhqFSpUoIC7O/Np5r9+7duOmmm9jhR0REREREREREAWBBs0M2dHv8rrrqKp9/Z2RkYPPmzfj111/Rr1+/PN+7ceNGlClTxq/1+NvRl4MdfkREREREREREZIzlsmDpjEIN3f4+vPDCC7bl48aNw8mTJ8X3jR07FkWLFvV7PY899hhKlizp9/IFqsMvc14f+xeyNENchMyG4QPfti1XafZDyqX2hPeeq9cep0nDmoVwE/XLOGF5m/0s1bHhMdtyq9FE+7o1qdP2w+d1Q8SscoOMtIeIgoAUuiuECykp5DbdPjTBkkL905bYlzscsqqypFBcoX7d9piiu16p3OmwUh1OZzw0Vb/TIbTieqWMzQEKDZaY2M9SiFjQZcWki0LKxpsq3Cfsru9SuLB0TBW95fztOnuVR97SWt4Kd9uWRwgZ7aVruEo/Zb98hpDlVrp3SFl3pZBe6Z5yyj6Lrtrzr335P4dsyz3H7Z8lVIZuJlp7Wp0puiG3uuHC2vUL2yo8vsj1GGpnmF7IsO2+T9dtfAGnPcKv4OnduzeuvvpqTJkyxfb1sWPHatU3evRoreX1rihERERERERERER5cVnZHbL+/hVA69evR1RUVJ7LnDlzBh9//DFOnDiR67WUlBR8/PHHSEsTBiKcR4Ea4UdERERERERERAGmm6U3hPv8unXr5vNvpRT27duHjRs34j//+U+e7505cyY+/vhjdO7cOddrsbGxmDp1Knbv3o37779fu10Fq8NPCt0VQnSVZthOxhs9tJaPuOsd+3peu8P+DUJ7Iu57V2u92qSQXoFVd7xtufrR5kAW6lZZQvk3I23LXU2f9a9x/88q1d++fikjcap9SJ/n70fs23PNM1rtIaILo47Nsy23hGx/dhm55RBdIROflBlQyPatDr5hv7wUXqQbyiotn6mZwVBzGgfHM78GKDOrGD6qQ1qnZkiW40yFsgbdseBwSK8uu89d+qITbMcImSWF7kqE+4qRugXqwEy9Nwj3GiXdg04J99YU+7mslLS88Iwuns/hwnNBZIRQj3C9ENqZ9a99O7OOCKHHwvdQKZxV7BwRRj8pjVFRunVrX6e0R2hJYc0O9/pE2G+XNH2XDldKCoALr6egsMIsWBH+ZZ/9/3c41hanxcXF+fzb5XKhRo0aePLJJ9G2bds83zt//vw8OwWHDRuGJ598kh1+REREREREREQUYJZmqG7o9vdh9uzZ+X7v9u3bUbduXfH1K6+8Etu3b89X3UHf4ZcxZyAyos/5RUY3CYeJCbjzoIT2pE/rrleR5i/PYv1CPZFD37ctl0bs6bLq/df/ZY2sUZ86mmL/gjTBaqbDk9UThZozi+3LpV/+M87YLy+MnrMuuct++ZQD9vVLiSzsSCPbpPNcuC5YdcbZt+W3p/xvSx71S+XSyGix/U6PctIdXWXqeqo74kB7dJuBZwbd0QmBGu1lat84PIJQnNxerF83WZvm8sKXF8tu1Ij02XLkH53N3fHC6xASU6mTB+2XP2x/X8Vp+5Fq6owwgu2Y/bO155AwEu6Q/XOB57RwT8zQvL5ICRaEUV3SSDvxuiO0R/o+KCbVcAn1SNcXEwkxdEf4SSPwpNGG52+VD+1t0iW0M+Je++/E5AAXCuzcfHlJTU3Fu+++i1OnTqFNmzaoXr16nstnZmbi4MGDSEhIsH394MGDyMznc3TQdPilpaX5TESYkiJ0zBARERERERERUfDSncMvBI0cORLp6el46aWXAADp6em45pprsHXrVsTExGDUqFFYsWIFmjRpItZRq1YtfPHFF2jQoIHt6ytWrECtWrXy1b6g+Rlx0qRJiIuL8/7Fx8cHuklERERERERERKQrZ4Sfv38h2De4bNkyXH/99d5/z58/H8nJydi+fTuOHj2K2267DU89lXcU0MCBA/Hf//4Xn3zySa7XlixZgqeeegoDBw7MV/uCZoTf6NGjMXz4cO+/U1JSsjv9MjxAuO+QZ2nItOOTMUs0Q0F0k4WkTRYm55WGxwrtSX2yk2151BNLtNoT0k4L4YW6k9gTFVZCggsxdFdMiKE3LF0l77F/QSfpkBQqJ5znrlYv2i/+0Z1C/XpPKSpN2AdSuJDmvcPpX1TF9uiGR+oyFe6kQdpW/RArKbQrRJ5wNT9z7WNEN8ma08eaRAzpzT0xuRhGKJRL4X9Z7/W3b8ptSfb1U6GjDu+0L9+9z7bc87d9SK/noP1923Pa/p7lOSEkvjtpH6KbkWZmvImU58Sy7K8LutHylku67gtv0L2+C6HE0vLS1U4nZFi8YhoKudS9JyppHzi83tQJN9uWR40Rpq2h/LNcBX6qiuTkZNSsWdP77+XLl+PWW29FYmIiAODBBx9Ehw4d8qzjnnvuwdq1a9G5c2dcfvnlqFGjBizLwm+//YY//vgD3bt3xz333JOv9gXN3ne73YiNjfX5IyIiIiIiIiKi0GK5/j9Tr79/Voj8AHoWl8sFpf7Xnf7tt9/immuu8f67ePHiOHr06HnrmTdvHhYsWIDLLrsMf/zxB37//XfUqFED77zzDt555518ty9oRvgREREREREREVEBYFmhE8WQT5dffjmWLFmC4cOHY8uWLUhOTkbr1q29r+/atQtly5b1q67u3buje3fNxK/nEfQdfhF3JSEiSEb7iaG1DoeUiKEsQjIrMSRGCBM7M8Z+iKkYOq2RLS/mueV+L3sxuK6bGugmEIW2uB725Tsn25en2of64KQQ6itM3yqFHpm4/ob3m2dbrn3N15xmwRhpvYZCX3VDiU0xFy578YMZxBAriXbmRIeJU6cIobu6x7g0XYZuaLDDxGNQ+lwibELopNBdm/BfwGCGTip0Mlf8YFue9a/9/TZz3ynbcinkVnn0jsGsTPuvmVKorES+hAv1COeKlOheCgGGsL1SeyzpOiVtr5R9WPO6L4b66lwzDIXWip+slDnZ0L1S+w4hrFcK9ZWmZrArT0+VvqAXUhYKfJbekSNHokePHvj000+xZcsWdOjQAVWqVPG+vnTpUlx99dV+1SUlrrUsC263G5GRkdrtC/oOPyIiIiIiIiIiCiG6WXpDsG/wlltuwdKlS/Hpp5+ibdu2eOCBB3xej4mJweDBg/2qq3jx4nmGNVeqVAn9+/fH2LFj4fLzB212+BERERERERERkTnhFhBpP6K9ILnhhhtwww032L42duxYv+tJSkrCmDFj0L9/f1x99dVQSmHDhg2YM2cOHn/8cRw8eBBTpkyB2+3GY4895led7PDTIIXEameVc5qpUJxAtZ+IQk+KfWiQOiWE7h6yn7w2Y5r9vBWeI/ZZgHWyd0rX8PSH29rXLV3zJZohC/ohq3oZ/eTMfUK5qWu+06GHpvazoRAmrXVKgi3cRTvrrt65EmwZniW6x44VkTtmUAoFU0JIr7i80HbPa3fYLy9cvyKHLLQtp9BxoE9723JXuHTeCmGQHr2vgWJ22gCRt8t+eSmUWGkOKfKIMxtJ4fha1cshxtpy1yMPCLLfKN3wa91tNTaFge7zkXDsRI37RG+9NiJTUoDH4i64noLC0h7hF2TPQxfZnDlz8Nxzz/nM49e5c2fUqVMHr732Gr788kskJCRgwoQJfnf4Bdmlm4iIiIiIiIiIQprLyv6xzd+/Qm79+vWoV69ervJ69eph/fr1AIDmzZsjOTnZ7zrZ4UdEREREREREROZYyO708/evkKtUqRLefPPNXOVvvvkm4uOzMxsePnwYJUqU8LtOhvRqiBqzWGt5KfutrugJS7WWP/3ojfYv6IZraYYqF3lhhV79RFRgqDOp9i8cO2FbnLVHKN930rY886h91rOsLP8fDuQwH+kder+J6YbhuLRDZTI1l9daXNw/puo39cutdpZh6QUHQ3pFwfYw63SIrsRU6K7DIbpKM1zeLiOvtE4xS2+kEC5sKLt22qQu9stn2If0RT2xRGu9ZNbubh1zlSml9/XNFWZ/LIRH2p/n0vLSPUIpzeuaxn0bkIJNZfK9ODDXX+2QXs1nAx1ihmFxnXphyvrPQVJ77A82cV8K1zvpuhn99PLzNY0MsSxLLxtzkD0mXWxTpkzBbbfdhmXLlqFRo0awLAsbNmzA77//jvfffx8AsGHDBtx+++1+18kOPyIiIiIiIiIiMsey8po8ks7RuXNnbNu2DTNmzMAff/wBpRRuvPFGfPTRR6hcuTIA4L777tOqkx1+RERERERERERkjgvBF93goPfffx8LFy5EcnIy0tPTfV7btGmTX3VUrlwZTz/9tLE2scPPQbqhuKbEPL0sIOsNBUfvts/GWeJ1Du0muiBC1l3PASFE9x/7kN7UA/Zhq+ln7G9XUoiRXUiSGIJiKHzGpflAoxumFGycDDvKrt/R6gFoxjBrMJdl0Z52CJ1Uj+YukLJiOh2DIx1rprJfulz2Z6OY9VQjs6SYjTdMuAIIWXqNZZsWwrWl0F1pmphQf9Y8MbiN1vIe4VzxCOGpusdm8dfsn0MzM3LX78nUW2d4pH15ZrqzF1nd64uuQGUNdjpzrf50H/4v6xGugbpTBkj7QHoOEjMkC5tqSc92UjJeYfIOh/O+kz90R/iFcJbeqVOnYsyYMejXrx8WL16MAQMG4M8//8SGDRtw//33+13PV199hddeew1//fUX3nvvPVSsWBFz585FlSpV0Lx5c+12cXwlERERERERERGZY7myO/z8/dO0du1adOrUCRUqVIBlWfjoo498XldKYdy4cahQoQKio6PRqlUrbNmyxdDG+Zo+fTpmzpyJadOmITIyEqNGjcKKFSswdOhQHD9+3K86PvjgA7Rr1w7R0dHYtGkT0tLSAAAnTpzAxIkT89UudvgREREREREREZE5DmfpPXXqFOrWrYtp06bZvj558mQ8//zzmDZtGjZs2IBy5cqhTZs2OHHCPtLoQiQnJ6Np06YAgOjoaO86+vTpg3feecevOp566inMmDEDr7/+OiIiIrzlTZs29Tsk+FwM6SVtOzvdZFtuF+pT9dPgyu6WJYRB7O9pH7JS7u3QDlkhulgyth60Lc/695Rt+ekj9udi2in725IUwiSF3Nk3xr5YCmUxFY7kEcMgySTdMKiCKFSONVMha1KIrm74vhgmJmQTlkODc5e7MuwzjOuEBQN5hQab+cyl0F2VZj/NghQSW2z6CiPtMeXf3vbbZVlClmQhXF56fpTDa+2PkTDhnvXPrbmz8QJAZnrudmbZhPkC+tl19TM/ay0eME5nxdXdb2ImWuE6kqWZGVdit11S2/WvycL5oBkyLJ0PLqGHwiNk4y029Qv7N1DguVxAuEaXk2ZI74033ogbbxTuX0rhxRdfxJgxY9CtWzcAwJw5c1C2bFm8/fbbuPfee7XWdT7lypXD4cOHkZiYiMTERHz77beoW7cudu7cCSXFr59j27ZtaNGiRa7y2NhYHDt2LF/t4gg/IiIiIiIiIiIyx9IY3Wc4ucfOnTuxf/9+tG37vzn83W43WrZsiW+++cbougDguuuuw5Il2YOd7rzzTjz00ENo06YNbr/9dnTt2tWvOsqXL48dO3bkKl+3bh2qVq2ar3ZxhB8REREREREREZmjm7QDQHp6OlJSUnzK3G433G63Vj379+8HAJQtW9anvGzZsti1a5dWXf6YOXMmPP+f4WnQoEEoWbIk1q1bh06dOmHQoEF+1XHvvffiwQcfxKxZs2BZFvbu3Yv169djxIgReOKJJ/LVLnb4kbYqSz6xLf+jTeeL3BJ9pWd/blsuhVJI4ctSZjMpzELKbHjF6o9sy7e06GJbLl0vpXqITDs55Abb8ow0+4Pz9HH720z6GTMDzMOk8Cv7KDotUlZGiRTuJGc2LZgCFfYViIyNTmcqDjb62SY16zcUoistL4WtSaGQlma4pt32mggLBgArzf6iZuq4l0JTs4QstJnp9uWnhRDasvMCM0VK2in70F3p+i5dv6T9I937JGEReteMTJv6MzOk41h6NtVaZchwOnu3qey6HrEeveuLfnty1y9tq0czu658jRXKhXy50nkoZekVIvEpmGln6QXefvtttGvXzqd47NixGDduXD6b4Ht8K6VylZngcrngOmtbu3fvju7du2vVMWrUKBw/fhytW7dGamoqWrRoAbfbjREjRmDIkCH5a1e+3kVERERERERERGQnHyG9PXv2xPHjx33+Ro8erb3qcuXKAfjfSL8cBw4cyDXqz5SvvvoKvXv3RpMmTbBnzx4AwNy5c7Fu3Tq/65gwYQIOHTqE77//Ht9++y0OHjyI//73v/luE0f4kTF2v3L+1ORm22Xrrl/sdHO0VHr/U0frl0bs/dLMfv9IPELSAameOl8H136m0CElsvF4Im3L007Z/36Ufkbv51jdX9oz0+3LdUaZSZO0i8sbGsmnO4KQ8kd3lJkdUyP5AjEKMS/S+SYub2jEizxiT6/cbgQLcDFGsfg/UlAaJSiRJrGX6B6bUvIJ6frl0RzhJ42EkyImpKgRU1JP2n+Iutd9abvS0+z3f4Y4Cs++/jDh2MzSuVFkBmbEsfRsKm2rLmnf6F7bXUKCG/E6onluidcX7eusmcQadiMLTV1jpVHRUs+CfO/Q26a4GcGVFIj84NIN6bUQGRmJ2NjYC151lSpVUK5cOaxYsQL16tUDkB0uvGbNGjzzzDMXXP+5PvjgA/Tp0we9evXCjz/+iLS0NADAiRMnMHHiRCxdutTvumJiYtCwYUMj7fK7wy8zMxPz589Hu3btvL2lREREREREREREPvIxh5+OkydP+iS52LlzJzZv3oySJUsiISEBw4YNw8SJE1G9enVUr14dEydORExMDHr27Gm8LU899RRmzJiBvn37YsGCBd7ypk2b4sknnxTfl5NB2B+LFi3SbpffHX7h4eG477778Ntvv2mvhIiIiIiIiIiICg+t+fI0p9bbuHEjWrdu7f338OHDAQD9+vVDUlISRo0ahTNnzmDw4ME4evQoGjdujOXLl6NYsWJ6K/LDtm3b0KJFi1zlsbGxOHbsmPi+uLg4738rpfDhhx8iLi7OO8Lvhx9+wLFjx7Q6Bs+mFdLbuHFjbN68GYmJiflaGRVstdZ+lKvs27qdLn5DgpA0wXKWx9nwi40N7ROpNNz4saPrdZJ0TOmGjly9aYmB1jhPCq2VSOFauhOyZ6Xb3x4yM6TQXfv2SNFI4sTOwqTjHmHie4lOFJTueSiFL0mhKR6Hz/OCSgol0q7HQFiZFFKmy8EfufNerxDKJj1ZS+3UDX2VwkHl0H29UDZpMnynQ4OzxMn27cr09lmW8LygyyOE6OompZDuEeLyYsiw/XqdliXcs3SnVJDuQVLobuoZMxtsmwhG83oUqHuQbjula7Wc9EKvnjDNj0R+TtENMdacSkD4uPSvp7nLxG0SphKQdpnUfyOd51IbpSkMSry+XFgzhRzL5ejDT6tWraCUfI2zLAvjxo3Ld8IPHeXLl8eOHTtQuXJln/J169ahatWq4vtmz57t/e9HHnkE3bt3x4wZMxAWln0xy8rKwuDBg/Md5qzV4Td48GAMHz4cu3fvRoMGDVCkSBGf16+88sp8NYKIiIiIiIiIiAoI7ZBe89lzL5Z7770XDz74IGbNmgXLsrB3716sX78eI0aMwBNPPOFXHbNmzcK6deu8nX0AEBYWhuHDh6Np06Z49tlntdul1eF3++23AwCGDh3qLbMsy5vaOCtLHPZARERERERERESFQZgFhGuEWoRufx9GjRqF48ePo3Xr1khNTUWLFi3gdrsxYsQIDBkyxK86MjMz8dtvv6FGjRo+5b/99hs8+cz2p9Xht3PnznythAqvM0JIw5eXdrAtv/5P/7PXBCMphFaiG2YhhRLq1rOuln22vOZbnM2Wp2vVZR1zlUVECHeCTL26116eu24AaPG7sxmbdWWk6mUYlDInSmFWWRn25Rlp9u1JEzISSmHrEt0wSzmMVljeQAiTqZCvgkoOEzVUv6HMuCZCg8WMhLr1BCpMWcje6Xz2S/vlxZBbY6FsmqGEYtitXj12IXq6dZiiHborTQch7Hsxq6+wXt17hCmm2iOF7kpTpNg9vwBm7hPS+SbVrXutFmbW0G+P5n3YpTkFiG49UmiwdD3NEuoJVGiwmDVYusbY7H+PFF4sbpP9OpV4XTNznh8f1Ma2nFl6Q5BlycdoATRhwgSMGTMGW7duhcfjQc2aNVG0aFG/3z9gwAAMHDgQO3bswDXXXAMA+Pbbb/H0009jwIAB+WqTVoefk3P3paWleVMXA0BKSopj6yIiIiIiIiIiIocUopDeHDExMWjYsCF27dqF5ORkXH755XD5uQ+mTJmCcuXK4YUXXsC+ffsAZM8NOGrUKDz88MP5ao9Wh1+OrVu3Ijk5Genp6T7lnTvrjW4626RJkzB+/Ph8v5+IiIiIiIiIiIKAdodf6JkzZw6OHj2KYcOGecvuuecevPnmmwCAGjVq4PPPP0d8fPx563K5XBg1ahRGjRrlHQCX32QdObQ6/P766y907doVv/zyi3fuPuB/qZYvZA6/0aNHe9MoA9kj/PzZKRTcWv9hHx4phfSGSqivbqZYU+GIcrZfab1S1lC99jhtRRX7z91OYQubTD1lf1BJYVZSSK907EhhStLy6Wn2B48UCi2FNemGDEnHuA5Tx06wnT+6jD13CceIqVBf3WNEYiJLrxQiJi4vhK/oHoPiPcXh9ujuMynEzenQYN3slxKdrLt5kUKMTZCmcZBCd02F3EpZzDMz7CuSnncyhbBy6blPynLbce9n9isQ1Fr7kdbyuqT2O3mfyMzUq1w3VFb6DKXzUzfTvXxt1wsN1r0uiNc7cf+Yum6a2a5waUobKYzWrv3COuUs2pptl647mlMDqILdP1S46Ib0huAAvxkzZuCee+7x/vuzzz7D7Nmz8dZbb+GKK67AkCFDMH78eLzxxhta9V5oR18OrdPpwQcfRJUqVfDvv/8iJiYGW7Zswdq1a9GwYUOsXr36ghridrsRGxvr80dERERERERERCEmZ4Sfv38h6I8//kDDhg29/168eDE6d+6MXr16oX79+pg4cSK+/PJL8f3169fH0aNH/V5f8+bNsWfPHr+X1xrht379eqxcuRKXXHIJXC4XXC4XmjdvjkmTJmHo0KH48ccfdaojIiIiIiIiIqKCphDM4XfmzBmfwWrffPMNBg4c6P131apVsX//fvH9mzdvxk8//YSSJUv6tb7Nmzf75L44H60Ov6ysLG+WkdKlS2Pv3r2oUaMGEhMTsW3bNp2qiGw5nfVRImWt1f2hQTurp2Yorhh+KYTKSGEZGcLyH13Szra8y8HP7SvStKzSjbblOuFjpsJkpH3zcbn2wvL2+8zUvpFU/9w+A+CmxvZzpkphVlK4lm6YuLT854n2n61EDJUxkF3XFN1Q/EDRznisGb6kSz/8SqhHM6xMIoWb6YQM67bF2D4w9FnphqBp38s0s19KdLNfSkwNEtB/JvF/ed3wbukzkY5veUoPvXuB088putNNLCpl/5wicbulMHH78hv/WaZVv6kpZ3TvoXa0rwvaob6GpsWQrqdSVlyHQ4B194PudVP/+qg3NYvOVAjSNAXSlAFShno5BFhiv2KpPWGhPncK/Y+FAh/Sm5iYiB9++AGJiYk4dOgQtmzZgubNm3tf379/P+Li4vKs4/rrr/dOl3c+OdPp+Uurw6927dr4+eefUbVqVTRu3BiTJ09GZGQkZs6ciapVq2qtmIiIiIiIiIiICiBXwU/a0bdvX9x///3YsmULVq5cicsvvxwNGjTwvv7NN9+gdu3a4vt37typvc5KlSr5vaxWh9/jjz+OU6dOAQCeeuop3HTTTbj22mtRqlQpvPvuu3qtJCIiIiIiIiKiAsilnwErxDzyyCM4ffo0Fi1ahHLlyuG9997zef3rr79Gjx49xPcnJiY62j6tDr927f43jL5q1arYunUrjhw5ghIlSmgPLaTCTTcEYu3l9pk+JaZCg7XDmjTDHUxl19UN3Q227L1S+50M7wz1zMapp/VCd02Fg+uSQlbk8LHgCekNHYaud4YytspMPSeYOkYuvD264cK655VuyLAu3ezDYj3Ss3yGsLwUEufwdwLtY1m4PurQ/cylz1Y3+63TzyOmphLRf96xX17OYCrUI+xnaWoTqT3Sejvv18smrEMK3TWVFdtU6K4ueb162YF1r7/ydwa9Y1MOqdbbLlPL222vbiZ0KXTXozktixJ2mhIu+q5w9isUGC4XEKbT5RR6n73L5cJ///tf/Pe//7V9/dwOwItNq8PPjr+TCxIRERERERERUWFg6Y3wC73+vqDnV4ff2VlG8jJr1qwLagwREREREREREYU4S7PDj4zzq8MvKSkJiYmJqFevnt/ZQ4iCkakQF1P1iyErmiE9uqEyUjilZGFsW9vy7inLterRDUPT2f/G9r1mPe8Xt983UthEt8NmsvqaCt3VPRYkYtZdzXBt3XOOzGShzVtwhQzrhtc7mRFazmZ5wVVn08zKqMvUMaL7GcqhxFJ2TUM/+Qshxk7SPc50703GpgbRfO7QvYabChPVz9Jtpv6ICGF54dhcVsk+666UBVgON7Uv1yFtU+s/PrUtX3WZ3jQ6ukwdm7rXX93QXf17n1494j1R2A+ZBq6PUtbdMM1rrLTvwyPsX/Bk2defkcp+hYJPt8OPQ/xM86vDb9CgQViwYAH++usvDBw4EL1792YoLxERERERERER5VbAs/SmpKQgNjbWaJ3Hjh3D+++/jz///BMjR45EyZIlsWnTJpQtWxYVK1bUrs+vvT99+nTs27cPjzzyCJYsWYL4+Hh0794dn3/+OUf8ERERERERERHRWf5/hJ+/fyGmRIkSOHDgAADguuuuw7Fjxy6ovp9//hmXXXYZnnnmGUyZMsVb34cffojRo0fnq06/k3a43W706NEDPXr0wK5du5CUlITBgwcjIyMDW7duRdGiRfPVACJ/tPjdPuzAlC8v7WBbrp2lVzd0x1CojJjx1FCYq66Py7XXW69GO021MVBZ6KR9I2X0kzJUi8eCoay7Uv3mwkTtBepzKYiczrRsSpjjYdwOh4lqMLYvNbPHStuaKS6v2R7HQ49D97pgamoQU88jprIG69I9FnTPFWPh6cK5opsFOD3N/gOTsgBL+8dtUy5/JvZ1XP+n3jO0FOrrtBVV7J/FJfrPg6ay5dozFpYtXZgFLo3ro24mYe22n9Fdrz3pGJeeiZ3+nkgXQHsOv9AK6S1atCgOHz6MMmXKYPXq1cjIuLC5Q4YPH47+/ftj8uTJKFasmLf8xhtvRM+ePfNVZ76y9FqWBcuyoJSCx9S3byIiIiIiIiIiKgA0R+6FVn8fbrjhBrRu3RpXXHEFAKBr166IjIy0XXblypXnrW/Dhg147bXXcpVXrFgR+/fvz1cb/e7wS0tLw6JFizBr1iysW7cON910E6ZNm4b27dvDVYDjsqlg+TzRfhJlXboj8yTGJtsO0Ei+RaWEX6o1Lwk67TE1AszUPpC2VSqPCLe/k0mjTKVf/fU/czP7TTpmpcQREmlEozT6IRC/LXG0YTY5wYIZxkaZadMYFWFopJruyA1zo5YM1aM9UsXM6ErN3RbSTEUKOL1eidOjwHXpHmvSMS7tHynCIi1NL/JC/kKWu/3hwnPE9X8uFWsJBW122rdfd+SfRDthjaljWXMEtLMJbpxO8mVP9/uObrSKbvQMXUQFPEvvvHnzMGfOHPz5559Ys2YNatWqhZiYmHzXFxUVhZSUlFzl27ZtwyWXXJKvOv3q8Bs8eDAWLFiAhIQEDBgwAAsWLECpUqXytUIiIiIiIiIiIirArIKdtCM6OhqDBg0CAGzcuBHPPPMMihcvnu/6br75Zjz55JNYuHAhgOzI2uTkZDz66KO45ZZb8lWnXx1+M2bMQEJCAqpUqYI1a9ZgzZo1tsstWrQoX40gIiIiIiIiIqKCwbLCYLkidN7hWFuctmrVKu9/5yS2tSy97ZkyZQo6dOiAMmXK4MyZM2jZsiX279+PJk2aYMKECflql18dfn379tVurCkfxXdBjOVf5LHuUO07Tq7Ib7OogDGVPEOuPzRCdCXSDzPidhkKMbKt2+FtlT5zKSxIak+Xg5/blkth5fJ2mQl3kNtvX4/TIbdSOLguE6EvgTqmgo3uMWJuvfblTl5HAL0wXd19YO7HbFPPXmaSfOh+JrrhkSRz/HwIQBKbYCSF6GpPwaJ5b5KuR3afi7EpBkKEFOqrS3daH8enEtFMvuRk/abu/04nI5TXa7/8+8Xb2pbfemy5Vv10AQp4SO+53nrrLTz77LPYvn07AOCyyy7DyJEj0adPH7/eHxsbi3Xr1mHlypXYtGkTPB4P6tevjxtuuCHfbfKrJy0pKSnfKyAiIiIiIiIiosJEs8MvQIPMTHj++efxn//8B0OGDEGzZs2glMLXX3+NQYMG4dChQ3jooYfyfH9mZiaioqKwefNmXHfddbjuuuuMtCtfWXoBYPfu3bAsC5UqVTLSECIiIiIiIiIiKgAK+Bx+Z3v55Zfx6quvom/fvt6ym2++GbVq1cK4cePO2+EXHh6OxMREZGWZHdKv1eGXmZmJ8ePHY+rUqTh58iQAoGjRonjggQcwduxYREToxGf7x+MBPH529OoOO14Yaz/MV9I9hcN/Q4UYNql5/pjKoisJttDdYFuvHadDwaRr7B0n7c//BUXbaNUvH4O6Yd9Cueb+6bjXPnRXN+RWOpZNhR45ea4Yy2DscMid85wO3dULi9evX295p49ZE3Wby9JrJlOp0+slWbB9Xwq2sGynQ551hUcIIbrCNcDtti+X6iF97XYtsy1fVkkv1DdQnD3n9OoO1NRGpp4XdPsAdJxWhSmvvB8KUUjvvn370LRp01zlTZs2xb59+/yq4/HHH8fo0aMxb948lCxZ0ki7tDr8hgwZgg8//BCTJ09GkyZNAADr16/HuHHjcOjQIcyYMcNIo4iIiIiIiIiIKFQVng6/atWqYeHChXjsscd8yt99911Ur17drzqmTp2KHTt2oEKFCkhMTESRIkV8Xt+0aZN2u7Q6/N555x0sWLAAN974v19CrrzySiQkJOCOO+5ghx8RERERERERUWGnPcIvdEc1jx8/HrfffjvWrl2LZs2awbIsrFu3Dl9++SUWLlzoVx1dunQx3i6tDr+oqChUrlw5V3nlypURGRlpqk0+PB4Fj3VhQ5gZUlJw6WbckjgdmhIqobu6gi2kx46pMMv50fahu73O2Gf7lkJipfCcMM3PXArF/bhce9tyKeuupNth+yzDUsYziYksunnW72DorqljJ9jOE+meqLu9YYbCPiVOhzDqhNfqtkWqWzdEV/qsdENuTT0HmfpMQiXLqKmQ6oJJuI44nfVcuqcI32j0n6ecPTalc0jnmtHi908Ntohu/Mc+1Fd6ngrUdcHpc8sEU8988j0ieJ4pyU+6c/jl4xI8ffp0PPvss9i3bx9q1aqFF198Eddee61+RRfolltuwXfffYcXXngBH330EZRSqFmzJr7//nvUq1fPrzrGjh1rvF1aHX73338//vvf/2L27Nlwu90AgLS0NEyYMAFDhgwx3jgiIiIiIiIiIgo1zob0vvvuuxg2bBimT5+OZs2a4bXXXsONN96IrVu3IiEhwbH1Sho0aIB58+Zd9PXm5bwdft26dfP59xdffIFKlSqhbt26AICffvoJ6enpuP76651pIRERERERERERhQ6HQ3qff/553HnnnbjrrrsAAC+++CI+//xzvPrqq5g0aZJWXcHA5XLBsuR9kJ8Mvuft8IuLi/P59y233OLz7/j4eO2V2klLS0NaWpr33ykpKQCA8HAL4edsdKAy+lHgmMq6K4XWmcrGG+qhu8EWehgKdEN9P7rEPtRX91iWQoalUFxduhnMdI8dUyGGPGb1SftM9zORnjmkUF/d9UrXx2C6d5sKTQ22qUeCLXTXWLbiAIQSB9PxejFohQ4hH89BwrQYTk8foUs61rSziQfZc2JhIn4HEO59oTJVgZNMTWchhi9rZq029b1Mpx5XcF2KAs8KA1x6d4b09HRvX1AOt9vtjTA9e7kffvgBjz76qE9527Zt8c033+SvvQH24Ycf+vw7IyMDP/74I+bMmYPx48fnq87z7v3Zs2fnq2JdkyZNyvdGEBERERERERFRkLCgPS/f22+/jXbtfAc2jB07FuPGjfMpO3ToELKyslC2bFmf8rJly2L//v35aGzg3XzzzbnKbr31VtSqVQvvvvsu7rzzTu06tX93zMzMxBdffIHXXnsNJ06cAADs3bsXJ0+e1F752UaPHo3jx497/3bv3n1B9RERERERERER0cWnlNL6A4CePXv69AsdP34co0ePFtdxbgisUirPsNhQ1LhxY3zxxRf5eq/W+Mpdu3ahffv2SE5ORlpaGtq0aYNixYph8uTJSE1NxYwZM/LVCMB+mCaQPTTYdc4HJmWn0x22y6HXwefTCvYZsSS6obgS3ZAJ3VBfUxi+qE83k6ipzKySLgftQ26lEF2J89lvnc5oa6b9Jj4vKfx6QVH7cG3ddcohq5rXKUPHpngPNRSW7fSxIIf6aob6iCHGNstKIVyaYcdyKJh9uUQ3q7d+lmHd+s0c4/r7TTMMXWiPs1k3gytDcrARP3OHn6d0jx3pnqsbuhuuGZJIgSM9r0mkKVskofA91Nh0Cpr3Z1PXO4+hUGKdesI9wf+5XlwKCnoX9MjISMTGxp53udKlSyMsLCzXaL4DBw7kGvUXCCkpKVi5ciVq1KiBK664It/1nDlzBi+//DIqVaqUr/drnQYPPvggGjZsiKNHjyI6Otpb3rVrV3z55Zf5agARERERERERERUcSvN/OiIjI9GgQQOsWOH7w/2KFSvQtGlTk5vhl+7du2PatGkAsjvpGjZsiO7du+PKK6/EBx984FcdJUqUQMmSJb1/JUqUQLFixTBr1iw8++yz+WqX1gi/devW4euvv0ZkZKRPeWJiIvbs2ZOvBhARERERERERUcGhoKCUzgg/vU6/4cOHo0+fPmjYsCGaNGmCmTNnIjk5GYMGDdJrqAFr167FmDFjAGQn31BK4dixY5gzZw6eeuqpXMlv7bzwwgs+4cgulwuXXHIJGjdujBIlSuSrXVodfh6PxzYV8D///INixYrlqwHn47J0hvU6m7lLGqqtO+SbgPeL22cANRVioStUsqAFWybHQHA6rFk3BFgihYPecdI+fFTKriudK9IxK2XXZTi4Pumz0iVlcg4UU6HBpsKyTYU8ZmneD+Rswv7XIYX0istLzzMZeuGCmbr1C5+VeM8VViCHdzmbpVsMMc40s179/amxTs1jRNrH5s5be8EWXmjq+U4K0ZPCu/Xrt68nQjN01+22/+Drrl+s3SYKDKe/D35cTm/aIx2BCt11mn57pOuC//WcOxUZQXvkno7bb78dhw8fxpNPPol9+/ahdu3aWLp0KRITEx1bp+T48eMoWbIkAOCzzz7DLbfcgpiYGHTs2BEjR470q47rrrsO8fHxtnMQJicnIyEhQbtdWqd3mzZt8OKLL3r/bVkWTp48ibFjx6JDhw7aKyciIiIiIiIiooIlOxmHx/+/fKxj8ODB+Pvvv5GWloYffvgBLVq0ML4d/oiPj8f69etx6tQpfPbZZ2jbNnsQxtGjRxEVFeVXHVWqVMHBgwdzlR8+fBhVqlTJV7u0Rvi98MILaN26NWrWrInU1FT07NkT27dvR+nSpfHOO+/kqwFERERERERERFSQ6M/NF6qGDRuGXr16oWjRokhMTESrVq0AZIf61qlTx686cjIVn+vkyZN+dxqeS6vDr0KFCti8eTPeeecdbNq0CR6PB3feeSd69erlk8TDpIgICxHnDMeVhuebGIZLF0emEIajG/piKkzR1BD0QGWbK0xMfVaBCnGVQm4l3VOWG6nHVBZNialQaFPr1ckUK4XcStl7dUn1zHXfYFvudOieKbrtNJUd2BQT2X5NhRFLdO+JYj0BCyWWOB1ibC8Q2Yp1skED5jISS+SQ4cLxhSy/dPdPhlAeHq6X1XfbDTfnKqvxBcN8C6PO+z+zLXcy1FdibFqGICNm3Rauy3bX9xDZ1ItGaWfpDd170eDBg3H11Vdj9+7daNOmDVz/f2GvWrUqnnrqqTzfO3z4cADZEbRPPPEEYmJivK9lZWXhu+++w1VXXZWvdvnV4ffEE0/g0UcfRUxMDKKjo9G1a1cMGDDANraYiIiIiIiIiIgKL6U88KgQ+SXbgIYNG6Jhw4Y+ZR07djzv+3788UcA2SP8fvnlF58kuZGRkahbty5GjBiRrzb51eE3YcIEDBkyxNvTmJiYiM2bN6Nq1ar5WqmOsAgL4ef8iiD2sgu/jkkjAvlrZvCRfgmXRusEalSRhCP5QkewTSws0R3JV1DpjNgzRXfkn25yjj5pX9iWOz3yTx5x5Ow5EaiRi7ojC0yMOJT2pe5xLI0g1L336d6bjCUj0aQ9yt/hEXthmqNA7Z4r5XXqjfSSnlkDlWwj2JJ8SLTPf+mck85p4RgRR1IK1xc+P1J+OXltkK51JkY/5728Xv2OE3pMPJ7c25VhU1a46WbpDV1ZWVlISkrCl19+iQMHDsBzzoV95cqV4ntXrVoFABgwYABeeuklxMbGGmuXXx1+58YSS7HFRERERERERERUuCk4m6U3mDz44INISkpCx44dUbt27XxFw86ePdt4u7Tm8CMiIiIiIiIiIsqb3hx+odw5uGDBAixcuBAdOnS4oHo2bNiA9957D8nJyUhPT/d5bdGiRdr1+dXhZ1kWTpw4gaioKCilYFkWTp48iZSUFJ/lTA49zBEdZSH6nHHxuiG6UoIIT5aZSeyXVbrRtvzGf5Zp1VOY3HHSPiRuQVH7kDjtic5DJFyTsgXT0P1QCasJVKIDp0Nrgy0Rjx3d0F3deuS26+0bcfL/Anp9DKZJwXWPY93PxPkQd81jzUAClOx6nE1woVu/nPRNZ//o1hFcob7iJPbaCVNMtcdINfIUA0JSDenYkb5I6T5LZAgJdCIzc+/oP2/sZLvspcuW6K2UQspHl7S74DqkUHOnQ3el64XudUo7UZPDUw/YXX8zhf6FwkoppRcdGrr9fYiMjES1atUuqI4FCxagb9++aNu2LVasWIG2bdti+/bt2L9/P7p27ZqvOv06bZRSuOyyy1CiRAmULFkSJ0+eRL169VCiRAmUKFECxYsXR4kSJfLVACIiIiIiIiIiKjhysvT6+xfKHn74Ybz00ksXNP3dxIkT8cILL+CTTz5BZGQkXnrpJfz222/o3r07EhIS8lWnXyP8ciYRJCIiIiIiIiIiypsK6TBdHevWrcOqVauwbNky1KpVCxERET6v+xOO++eff3qz+rrdbpw6dQqWZeGhhx7Cddddh/Hjx2u3y68Ov5YtW2pXbIo7xoWoc8bvSsPwdTNfSWEQpkKGKXAClYWSshnL2BiALICmMvrp0s6iKWWJ1Awl1A0NNBVy63TG1j5p9tMG2JGy4uqSPhPdKQmkz0T3M9c/lvWWlwRTaG2g8F6TzdS9WA4ZFpbXDHOVr796Ybc64Wby+WYm1FeXbuiudtZN4bpgKpRQImXXlWSJ9zgpM7Nee3TvoTrPBsldb7ItT/jwE611UmDphu4G4lk5XAh9l9oihhJrtt3U9UisX/u6k3u9mVlBNE9REFDaWXpDt1+lePHi+Q67zVGyZEmcOHECAFCxYkX8+uuvqFOnDo4dO4bTp0/nq07tpB0ejwc7duywTTXcokWLfDWCiIiIiIiIiIgKjsIyws9Eht1rr70WK1asQJ06ddC9e3c8+OCDWLlyJVasWIHrr78+X3Vqdfh9++236NmzJ3bt2pUrNtmyLGQ5P4s0EREREREREREFseykHaE9N9/FNG3aNKSmpgIARo8ejYiICKxbtw7dunXDf/7zn3zVqdXhN2jQIDRs2BCffvopypcvD8tyfgixO9IFd/iFDY2Vh+frkYbtN9z4sZH6SZ/UxyyF0HVPWW5bvjC2raEW6Qmm7LQmGcsOqLF/AhHSAAAezc9QDE0TjlkpNE03K6Z+GJGZjLC6+mV+YVs+22X/q9YAz5cXvE5TbZfCiKXs4xLdEGA5C6geMTzS4YzQpo5ZhtHm59hxVkH9TOSpHOy2t3BNMWIqdFcKxTWV7VM/M7M93ek4TEwD4vGYuWZSwWYXRqt7HsrLmwnd1Q3R1W2nxMkpAzJsMmsXZgoeeOD/g3aoX8Xef/99LFy4EMnJyUhPT/d5bdOmTXm+NzMzE0uWLEG7dtlh/S6XC6NGjcKoUaMuqE1aR+T27dsxceJEXHHFFShevDji4uJ8/oiIiIiIiIiIqLBT/z/Kz7+/UDZ16lQMGDAAZcqUwY8//oirr74apUqVwl9//YUbb7zxvO8PDw/Hfffdh7S0NKPt0urwa9y4MXbs2GG0AUREREREREREVHBk5+j1+P0XymP8pk+fjpkzZ2LatGmIjIzEqFGjsGLFCgwdOhTHjx/3q47GjRvjxx9/NNourZDeBx54AA8//DD279+POnXq5Eo1fOWVVxptHACER1i5MgHphkFawvJiuWV/oEnLkz7dEDcpdLfXGf8zcebF6dDaQIWbBipk2NT26mQ8DNRwfk+WbviP3o0sI0OqR2qPXobBLENZhnVJobsSE6G7Et0wYl3ax6YYWqu3vET3GAwL0PUrUOsNJgU17FMSKtNcBOqeHgjmQgDtlzcVuistb7nMPNNL3w10HyWU0j12cq9Xmg4rK92+7r86drKvWajn0mVL/GoZkb+cDt01dX3RZXc9Cr8IU56FEqUQ8iP3/JWcnIymTZsCAKKjo73Zdvv06YNrrrkG06ZNO28dgwcPxsMPP4x//vkHDRo0QJEiRXxez09/m1aH3y233AIAGDhwoLfMsiwopZi0g4iIiIiIiIiIgP8f4VcYlCtXDocPH0ZiYiISExPx7bffom7duti5c6ffnZ633347AGDo0KHesgvtb9Pq8Nu5c6f2CoiIiIiIiIiIqPBQAHQCS0J5LOB1112HJUuWoH79+rjzzjvx0EMP4f3338fGjRvRrVs3v+pwor9Nq8MvMTHReAPOJyxcISzc96M3NQw/PFKvPCyicPROmyRlvzWVlVHXolLtbMsDkVU2z3oCEBKbH4EIoxWH82tuq+4+lvZllqEMfVK4ZniE/fKZGfblUgiwtLyU1VM386BEN3Q3mJgKI5ayg79fXLg+SiFrxjKwaoahByjsW5epkGdyXqhMc2HqPhHKpOeyYPsMdUN3dafvcRkKDdb9OmsXditn6RU+E837+fZ2nW3Lq3/+sV5FlC+mzi2751NT90PpuUAKoQ3U/dnUNV+nHj5z+PIoIEt7KoPQNHPmTHj+/2AfNGgQSpYsiXXr1qFTp04YNGiQX3U40d+m1eGXY+vWrbaphjt3tr9BEBERERERERFR4aA7wi+Uh/i5XC64zurx7d69O7p3765dz9y5czFjxgzs3LkT69evR2JiIl588UVUqVIFN998s3Z9Wh1+f/31F7p27YpffvnFG0sMZMcVA+AcfkREREREREREhZxSFjwaI/xCuL8PAPDVV1/htddew59//on3338fFStWxNy5c1GlShU0b978vO9/9dVX8cQTT2DYsGGYMGGCt3+tePHiePHFF53v8HvwwQdRpUoVfPHFF6hatSq+//57HD58GA8//DCmTJmivfKzpaWlIS0tzfvvlJQUANlD5c8dLm9uGL4UpmBfHuG2H4987F77sKzir9mHcRVUduGyutkmAyVUwnycDqE1lU1Ul87+1N2XusPznc6KKYVHSedEhhCKK13XpNgdMZxCM8zCVGZsAm49Zn+P+OgSZ6ce0D2HsqQwMU1SCJDudpkKMQ6mTKum9k2o0P0Mnd4PgbhH62ahDDYe4Td+p8PZpHuZ0+HUYmiwoVBfnedll/QckakZ6iu2JdS/coeGZZVutC03NYWMXT3y1EnSMSI9g9ovL7dROGbF88TM9D1OhxLbnf/SNaGwyg7pDXQrLo4PPvgAffr0Qa9evfDjjz96+7ZOnDiBiRMnYunSpeet4+WXX8brr7+OLl264Omnn/aWN2zYECNGjMhXu7QO9/Xr1+PJJ5/EJZdc4h2y2Lx5c0yaNMknk0h+TJo0CXFxcd6/+Pj4C6qPiIiIiIiIiIguPo8CMj2W33+h3Df41FNPYcaMGXj99dcRERHhLW/atCk2bdrkVx07d+5EvXr1cpW73W6cOnUqX+3S6vDLyspC0aJFAQClS5fG3r17AWRPLrht27Z8NSDH6NGjcfz4ce/f7t27L6g+IiIiIiIiIiK6+DywkKX8/wtl27ZtQ4sWLXKVx8bG4tixY37VUaVKFWzevDlX+bJly1CzZs18tUsrpLd27dr4+eefUbVqVTRu3BiTJ09GZGQkZs6ciapVq+arATncbjfcbneucstSuUJ4dUN3XeF6w+3FUF+hnjAhBLiwsR8erTdEXH95PeERzobihkrIrdMhybr162W/MrOPxWy/wvJS5jFdWVIojhAeFS5cdzKF7L1yqLL98jceXmb/BgoY6fyRzkPdY1lcr+Yxrp9V3dSDXGg/ENrxZDmdmTkwpOsawkPjM3Ry/zt9Pw9UxuBAZfVVYtiq8B3A4XNLzCasOy2RRjs9wre6rEx+TwlG8mfr3HchU1MGyFMz6X2/k6aVEUOAxeXNhCTrsjtv9TN3F2wK2onCQ1b58uWxY8cOVK5c2ad83bp1fveVjRw5Evfffz9SU1OhlML333+Pd955B5MmTcIbb7yRr3Zpdfg9/vjj3qGE//3vf9GpUydce+21KFWqFBYsWJCvBhARERERERERUcGhFLSSdoTyj7r33nsvHnzwQcyaNQuWZWHv3r1Yv349RowYgSeeeMKvOgYMGIDMzEyMGjUKp0+fRs+ePVGxYkW89NJLuOOOO/LVLq0Ov3bt/jeR+KWXXoqtW7fiyJEjKFGihDdTbyCZmiBXf7385Qyw//VW/PVKGGknT+Std3xJE+FGaI4qCLakF6ZG5pkagReIEY26dUgj83RHS+h+VtJ1QQkzFEu/WmYKSTvkZB729UQIIwIp+HTe/5nW8iuqdLAtd35EUGDu+7oTl1PoMJWQJZQFagS+7n1e914sjvbUHRFkaGSeEr6ASjNIKeG64/RoHvukAPbLipFIEbbF4qhIaVsp29rLO2otL92z5Gfo4EniFGxJhHSvI9I+0x2hKO0Hu3OF548vhex5/PxePoQfA0aNGoXjx4+jdevWSE1NRYsWLeB2uzFixAgMGTLE73ruvvtu3H333Th06BA8Hg/KlClzQe3yq8OvW7du568oPBzlypVDmzZt0KlTpwtqFBERERERERERhSZPAZibT8eECRMwZswYbN26FR6PBzVr1vTmwNBx4MABbNu2DZZlwbIsXHLJJfluk1+/S52dPVf6i46Oxvbt23H77bf7PWSRiIiIiIiIiIgKlpwRfv7+OWnChAlo2rQpYmJiULx4cdtlkpOT0alTJxQpUgSlS5fG0KFDkZ6errWemJgYNGzYEFdffbV2Z19KSgr69OmDChUqoGXLlmjRogUqVKiA3r174/jx41p15fBrhN/s2bP9rvDTTz/FfffdhyeffDJfDfKHNPm8xNRwe0+mfe90llBeUH2eaB8u63ab2A96dUihbFJyDqdDaCWmQmslTofcOh26qxN263TIrViuOdG2TC9cKEwIQw+PsF9xhHDsSyHAFPqk65103ZGvj86e56bIIT0U6vQTwUj1GKlGrt/B0GOnnwvk5Z1N/qObEMvUtDu6xHA8zfZIx2CYsB/kZxKbOqRkhMJzikQKa2ZIYrZ1tW4yUo8Ydi9Ob2RktUYEaiohianvKXTxKGVpzeHn5LeV9PR03HbbbWjSpAnefPPNXK9nZWWhY8eOuOSSS7Bu3TocPnwY/fr1g1IKL7/8sljvwIED/Vr/rFmzzrvMXXfdhc2bN+PTTz9FkyZNYFkWvvnmGzz44IO4++67sXDhQr/WdTatOfz80axZMzRs2NB0tUREREREREREFAI8CgiW6XnHjx8PAEhKSrJ9ffny5di6dSt2796NChUqAACee+459O/fHxMmTEBsbKzt+5KSkpCYmIh69epBXeAkhJ9++ik+//xzNG/e3FvWrl07vP7662jfvn2+6jTe4Ve8eHEsWrTIdLVERERERERERBQCskN69UZgpqenIyUlxafM7XbD7XYbbFlu69evR+3atb2dfUB2Z1taWhp++OEHtG7d2vZ9gwYNwoIFC/DXX39h4MCB6N27N0qWLJmvNpQqVQpxcXG5yuPi4lCiRIl81Wm8w880y+V/yJxutlxp6LuUtcqTJYT0Ztg38MTgNrblxaav8KN1wStcI9Ot0yGxptZrKvRFXN7hbL+665VCaMR6ArT/7bPTmQllEbPcaYTV5NUeU6SpBMRMq8L5GekOUHwUOU4K45bOK92Q3lAJxZM4Hd5JzsvSDPU1FRInhxgXvPCxYJq6I7v+0NjH0ncGU88Gds8k0vOOlKVXvibbL1/yzc/9aVqBZ2q6HIn8JTw0jn07wTaVkKnrjk7IvdOZu0ONRwEZGs9hSgFvv/022rVr51M+duxYjBs3zmzjzrF//36ULVvWp6xEiRKIjIzE/v37xfdNnz4dL7zwAhYtWoRZs2Zh9OjR6NixI+688060bdsWluX/8fz4449j+PDheOutt1C+fHlvu0aOHIn//Oc/+dquoO/wIyIiIiIiIiKi0OHRnMMPAHr27ImpU6f6lEmj+8aNG+cN1ZVs2LDB7ynn7DrnlFLn7bRzu93o0aMHevTogV27diEpKQmDBw9GRkYGtm7d6nfyjldffRU7duxAYmIiEhISAGQnEnG73Th48CBee+0177KbNm3yq052+BERERERERERkTE5WXp1lo+MjBTnyzvXkCFDcMcdd+S5TOXKlf2qq1y5cvjuu+98yo4ePYqMjIxcI//yYlkWLMuCUgoezTCTLl26aC3vj6Dv8LNcKtdwdmnIuhyiJ9Utr9OORxi2L2XpDYuwr//kkBtsy4tO+8L+DQEiZadyR/k/VtnpLHHBFoIir9fZ4fmmMtTKy+vVL4WJmAi7NRVyq3u9kJjK3itlxVPCVTpMuHtKIcDMuldw6YbuSuURQji4bmZs3XMuFDh9/oTyvrkYpLBJU8tLTISDO5nRN5CcnjrF1HOKqek+AjWth07IoBimKHxvCgsrmMemrk2NO9uWS1OhmPouQcE1ZVCe5RrP+q4LTNpQ0CgFZGmO8NNRunRplC5d2khdTZo0wYQJE7Bv3z5vOO3y5cvhdrvRoEGDPN+blpbmDeldt24dbrrpJkybNg3t27eHS+NAHzt27AVtg52g7/AjIiIiIiIiIqLQoTvCz0nJyck4cuQIkpOTkZWVhc2bNwMAqlWrhqJFi6Jt27aoWbMm+vTpg2effRZHjhzBiBEjcPfdd+c54nDw4MFYsGABEhISMGDAACxYsAClSpW64PaePHky1whBf0c+no0dfkREREREREREZIzSnMPPyb7BJ554AnPmzPH+u169egCAVatWoVWrVggLC8Onn36KwYMHo1mzZoiOjkbPnj0xZcqUPOudMWMGEhISUKVKFaxZswZr1qyxXW7RokXnbePOnTsxZMgQrF69Gqmpqd7ynHkEs7L0s5IFfYdfWIRCWMQ5Ib2aw/bNhfoJIXSa2XuB4Iqtk4ayR0Vf+FB2U9lgnR/CLSxvKBTE2cuXfGzq0g0rMxXKorPeQJ3/cnvMHCO6IYPSVAIe4VzJEq5Tf99sH7pfefEneg3S9G/vGx2t3+54KDP3M0fXGSi6YUdS6K6YvVfK/CiEgzmd6dpUuGYocDpc0BRTUxjoMnUsmGqPNPWLk+tUDoZK5cWynH2WDdS92NQ0ILqZdMOk6Yps6pHaKNUdHmH/WRW2qQS2tOhiWy5OZ+EOjeksdL+rmCBdd5xvi5nv7hIT14VwnZS0hYBHAcEys0VSUhKSkpLyXCYhIQGffKL3Hahv375amXjz0qtXLwDArFmzULZsWSP1Bn2HHxERERERERERhY7skF6NTqsg6RzUcb5ORB0///wzfvjhB9SoUcNYnYXstx0iIiIiIiIiInKSUtmj/Pz9C8H+PqMaNWqE3bt3G60z6Ef4RUZ7EHnOUPRAhS/qykyXsvrax1lJIW4ZqfYNTT9jXy6tVwo9jhZCd53M5KobfulymRkeLdYvhawZytgabAIVuivX7/+y2uGChrLoiiE0Dl9HpCyRYUL4pTjFgKHsvYcGtNN7g0A3TN/EMXjkTvu2S3WXeH35Ba/TpF+a3Wxb7hbCjvRDdO0PBjHUTNhvYcKThRQCrEsFy+zP+eB4aFeIPB+ZUhBDg3VDdE1kEg5GTt9bnX420A0xFKdIsLn+StdkKeuuJdwLrAKaPXZ7O/upisIjNZ87hLB1+Z6oVb3jIcBOn0OBYOp7lqkpRuzqiQwvoBflfPIgeEJ6Q8Ebb7yBQYMGYc+ePahduzYiIiJ8Xr/yyiu16wz6Dj8iIiIiIiIiIgodWQrQmdawsPcNHjx4EH/++ScGDBjgLbMsq2An7SAiIiIiIiIiotChgihpRygYOHAg6tWrh3feeafwJO2IKpqFaM0h2P7SDeHQDYmTwjI8GXr1SyF60rDj8Ej7+nX7zE2EBpnKamZqvaZCL0wNt3d6e03RPRZMhRHorFc3pFc3y1qwka5fUjZej3B9kRy9u61tuXx9sRcqYe52Tg65wba86LQvLnJLsrljzEyFIGeJFOqRwsTEkF5nr5umwtNNZPULleyLwTaNQ7BxMvNzoLLxmlqvKaESJq57zuk+b5rI8CqF7rrcQt1u+4t7zNPL7N8QIv65taNteUSUmecg3el+dMPETX0nkdjVY+r4DhRT9ybtKZs01puRrj8CqyDTDekN5aePU6dOoUiRIhdUx65du/Dxxx+jWrVqhlrFpB1ERERERERERGSQ5/9H+Pn7F8o9fmXLlsXAgQOxbt26fNdx3XXX4aeffjLYqhAY4UdERERERERERKEjJ0tvYfDOO+8gKSkJ119/PRITEzFw4ED07dsXFSpU8LuOTp064aGHHsIvv/yCOnXq5Era0bmzfVKivAR9h5+7ZBjcbvustn6TjrIs+3gHKQOgJ82+mswM+yHimen2AyizNENHxMxdwm6xhDAup4dlOxkGFagQC7l+Q+3R3C6nw1CNHSPaGVg1lg+TYh001ym1Mdiy1gnXIyWMjw/TvN4ZI30ugWJke+2PhdOj2tuWx0z+zLb8+KA2tuVZGXoZ2GPi9PaxbsitHLqrV79E9zorZ6i2Ly89+3Ot+g/2s/8c7QTq3iHXo7m8odDgQGV91N1vToboOs1U1l3dEGCnhfL0DkDgnhNtCc8vVoT9FwMrIsjuz5qkKUaiiglTmwj31oxU+3Ip/D0sUu8eKjEV6msiHNzpaW5C4nsEYOy7hB13Wmhf60wrTCG9nTp1QqdOnXD48GG89dZbSEpKwn/+8x+0a9cOAwcOROfOnREennf326BBgwAATz75ZK7X8pu0I7TvAEREREREREREFFRyknb4HdJbAJQqVQoPPfQQfvrpJzz//PP44osvcOutt6JChQp44okncPr0afG9Ho9H/MtPZx8QAiP8wsvHIDxK+Dn/QglHlRJyR6vUTNvysNP25REn7bNzZAq/PEmTyYqjHDRHaehy8tdMp38BEn/pkX7R0RztKZKuVIbaqf0rrVh/gH45061fp52a26TdliAjHpu6d8sgu7tqn3MSm3Pa2Pks1HP60Rtty8OjpRXYX3ekvCjhbiEJh6EJwU398h+o0VUnBtuPpJTuodLE7naCblSE09dwcb2Gbt4hcp3VJY4c1yCN3i5sTOzLgArEMa458i9QpBF70vcXd6y0L+2Xzzpj/70sNcx+P0gj/MKlEX4RZu7FEvF+YOo7jx2hDvF7h25bJNL3HWP3LL3vFya+j4SnCtk5CymFwhPSm2P//v146623MHv2bCQnJ+PWW2/FnXfeib179+Lpp5/Gt99+i+XLl5+3ntTUVERFRV1we4Kmwy8tLQ1paf+LmU1JSQlga4iIiIiIiIiIKD88miP3QrlvcNGiRZg9ezY+//xz1KxZE/fffz969+6N4sWLe5e56qqrUK9ePbGOrKwsTJw4ETNmzMC///6LP/74A1WrVsV//vMfVK5cGXfeead2u4ImpHfSpEmIi4vz/sXHxwe6SUREREREREREpClnDr/CENI7YMAAVKhQAV9//TU2b96MIUOG+HT2AUDVqlUxZswYsY4JEyYgKSkJkydPRmTk/2J+6tSpgzfeeCNf7QqaEX6jR4/G8OHDvf9OSUlBfHw8wsoWQViMFODkEGmS/FT7uGkp1Fedth/SGyHVozvZvqlh0E4Od9aMC9YO4TA1EbEU3p0mfLaax4IuMfwiUvMz192fwuel/bkEIpQ42JJGOE0zKYW5UFmH78aa7dQKf5NiO6XzX2pLut4UACrK/nyOe+ET2/LTD9uHO4nEyacdvv4KxM8kQ3PuEc2pDcRENsJ6pc/L/rqje18VruFS2FQoXGPzYuj663gYVyA43ZZg+4YUoH0fKtNx6LK9Tul+5sJnkv7CLbblkQ99oFe/4NTQG+zrL2rfHleM/RROllAufz+y//4V7dJ7Rne5hXuQNNWUcG/SDak29kyvsbz2OnW/L2jW7/i9ycGQ3rDT6X4vWxh4lIUMjalegi3hlI59+/YhJiYmz2Wio6MxduxY8fW33noLM2fOxPXXX+9N4AEAV155JX7//fd8tStoOvzcbjfcbnegm0FERERERERERBdAN6Q31Jw7DV1e09LFxsaet749e/agWrVquco9Hg8yMvI3P2TQdPgREREREREREVHoK+hz+BUvXhyWlfeoRKUULMvyK8turVq18NVXXyExMdGn/L333stz7r+8BH2Hn1UyFlYRP0N6pfAl3XSzQtiXJYWDpQu9rVI4WKYwpFxaXlqvRHd7dYULQ9Olcju6n5U0xNrUZy59JqnCsOzUNNtij5CxGemaoWyR9vtSzJalGSammwVQHqKv+XlJpGNfpx5Tx4JEOg91z0/t9Wre+gy1x1imSFOZcTVphUFJWbqFjO3itA+aoaxpz3WzLQ8rLYQDaE6/YIzmZyLuN0HUmMW25dL+EYmfr2bItma4vBbdqTgMfebGpvqQGLrOGsvM6vT2GlBQQ1CN4TQdAITrlHCN1b1vRw5ZqLW8LlecfeSWFWX/9dNVTAjpFUJiPcLUSZZwbQ+TnqGFcpfbvp2WME0HhHZKz+5yBlzNY18nPFU35FaT9vcFE98p82Lqu4HG/rFOMaT3bEo5/1UpkFatWmWknoEDB+Kll17C2LFj0adPH+zZswcejweLFi3Ctm3b8NZbb+GTT+ynAjqfoO/wIyIiIiIiIiKi0KFQsEf4tWzZ0kg9c+bMwdNPP41OnTrh3XffxcSJE2FZFp544gnUr18fS5YsQZs2bfJVNzv8iIiIiIiIiIjImII+h9+5jh07hu+//x4HDhyA55yhjX379hXfp9T/dlK7du3Qrl07Y20K+g4/q3gsrKJ+JvNwOrxQXF4v7MsY3fGxwvJnH2D+sMTsgzb7X3ff6w6xloZ8GwrjlsK1VZr9cG2XFN4thQxrD3EXwgvOM3dALtJnLrVTl7RduueK3fKmhuE7HeorLm/q+mJgX+ZBPKJMXe8MXb8ktu2XQnGFkFspLEg/RDQAoaMGaW+XtLwQvpQ5p7dtuRjabCpDtUb7pWNEm6nMyYZCVvVDfQ1dN4MuJNnhcDYnOT2NS7BNK2OKqZBqU8/60jO63XVKCumVplNw+F6TPq27bXnYJdG25ZYUKltECOmVPivdUFnpmi+F4krXTbfwjK45HY/YTt3vNjrfGZyeIkmiuV7xu6bwPUh/u4TlDTzLWhH20z4VVgqauzWEOweXLFmCXr164dSpUyhWrJjP93PLsvLs8MtZxglB3+FHRERERERERESho6An7Tjbww8/jIEDB2LixImIiRF+tM7DZZdddt5OvyNHjmjXyw4/IiIiIiIiIiIyxoPCE9K7Z88eDB06NF+dfQAwfvx4xMXFGW5VKHT4xRUFikX5t6zusGPL0DBlZWiovNPtkbIPZ2qGKukMjzYVWqvbFt19aWqf6YY7SkPKdYesa5LDNTXDQU2FlersT93h9qaG+Tt9LJsKidU9NgViqL/Tx4KpVF4a+1PMwK65TWI9kkAdI5rEzI+a1zXtcEeHQwPFMF2bsDgxLFg3A7uT2RfzUY9Is37HP1unpwdxsj3GQuKCLHTXaaESGiwxdD+wnVpCmH5FejbVzd6ry1Xcz6mX/p8UEiuF+krPxGGxzj4HaT8nRtqHJIvP9LoZak2EvwbqmViiu17dfemSvk9pTj0kfU+0K49ItV+2kFKFaIRfu3btsHHjRlStWjVf77/jjjtQpkwZw60KhQ4/IiIiIiIiIiIKGVlKnHa0QPj444+9/92xY0eMHDkSW7duRZ06dRAR4fsjQOfOncV6nJq/D2CHHxERERERERERGaQU4PFodGaF2BC/Ll265Cp78sknc5VZloWsLDkqRDeJqo7g7/ArEgcUsc/y5DdTobKm6gkUj5CBVXf4siQU9o/uNknLS9EL0vK6+8bp5Z0OTxVDpIVjMNM+67HtenVD0CWBCl8wRfcz0QxxETPUSpmctUN3zWQTNhGGpn2TDbawZofr154CIFDhl5pZ98QQbJts69rTOOjS3SZTgin0NV/1G9pvgQi7DVQbJcEW0ltQmZiaQboeSaG+hjIJez65x7bcFSs8FOtmfhVDYs2EvmrTDqHVLTeUcVZnPwTqu5qp7ylSiG6YtC+Fcqk9OqG7UnmmcBwXUspjwZPl//0uxPr74DF07zRVj50g+wZLREREREREREShTCkLHo//f6HsrbfeQlpaWq7y9PR0vPXWWwFoUTZ2+BERERERERERkTE5Ib1+d/g5NMTv77//xp133okqVaogOjoal156KcaOHYv0dN8os+TkZHTq1AlFihRB6dKlMXTo0FzLSAYMGIDjx4/nKj9x4gQGDBhgZDvyI+hDei13LKyo/KU2zv9KDWV+lZgK+9StXwinVMrhUCUdpkJNTYXumuL0Zy4xdSxLYQ2WfRiBeExlSeGgQrnd8tKypgTqMzHFRDgCIH9WmhmttUOwnQ4BtmGZCv+Rwp3FcFAzobjGMipLTO17U+Ggpu4T0nbZhUcFaioBU/Wb4nRIr7H1SvesIBo94HQ4tS7d60WwTXMRKA4/K9te33Xvt5pt9Kwcav9ClBS6q5lRVfParpWFFsgjxNVQ5lepXAorNRVuKp1z4vIaX/N1p+LRZer7iLS8sI+l7yla+yYvNvvNSmdI79k8Sm/knlMhvb///js8Hg9ee+01VKtWDb/++ivuvvtunDp1ClOmTAEAZGVloWPHjrjkkkuwbt06HD58GP369YNSCi+//PL5266U7XPGP//8g7i4OOPb5K+g7/AjIiIiIiIiIqLQoTzQmsPPKe3bt0f79u29/65atSq2bduGV1991dvht3z5cmzduhW7d+9GhQoVAADPPfcc+vfvjwkTJiA2Nta27nr16sGyLFiWheuvvx7hZ/2IkJWVhZ07d/qs+2Jjhx8RERERERERERmjNEf4QV28zsHjx4+jZMmS3n+vX78etWvX9nb2AUC7du2QlpaGH374Aa1bt7atJydT7+bNm9GuXTsULVrU+1pkZCQqV66MW265xZmN8EPwd/hFxmT/XUyhkG0WyEfonjDcORBhsYEKm3Y41FcMZQ0QcSi7+AbNz0UaQi8dU2Ga4eZZubNlOh5+HSpMHctS6K4U7qB7boUbamcgPnfd80G37brhV8Ly4vlmKnRXMyOkbtZjMcxSN8OjRAqFzhK2SwrX0qEbUhqo8E5TYdOhkt3cVHtMnHOBynKtG+JOeXM4pNf2aJA+qwjNZ9bvHrV/ISbatth1zTN69ZjKQmsqZFg7BNhQiK7DIb2WSwghtatH9/lFdzoogePfR0yFQZv4Hhp54VUUJDlz+OlIT09HSkqKT5nb7YbbLUwrkA9//vknXn75ZTz33HPesv3796Ns2bI+y5UoUQKRkZHYv3+/WNfYsWMBAJUrV8btt9+OqKgoY+00IciexIiIiIiIiIiIKJRld/j5/6cAvP3224iLi/P5mzRpkm3948aN84bTSn8bN270ec/evXvRvn173Hbbbbjrrrt8XrP7YVaam+9c/fr1Q1RUFNLT0/HPP/8gOTnZ5y9Qgn+EX3gEEF5Iusq1R7AI/bW6I/asACS4MDVJa6CScwj7WHsQstOjlgwl59D/pU33GJRGw4TAbxIBOja1k+3oJo5x+twyNbJYEogRx6ZGD5lIbgOY25fSCL90mxG4ACyhXJuphA8Cy8SIJu2RKoaSdjhdvzQiRXO0t7Fzy1QyIlN0zjlTiYucHp0YqHqc5vTIxWDaD4ZGdUtXC/XTWPsXigqRWGLSC0Mj/wxFpWgvrzsyTzehhJPbZejaawXb9xdTI/9MtCfc0DNQAeHJspCZobH/FNCzZ09MnTrVp1ga3TdkyBDccccdeVZZuXJl73/v3bsXrVu3RpMmTTBz5kyf5cqVK4fvvvvOp+zo0aPIyMjINfLPzvbt2zFw4EB88803PuU5HYZZUmSJw4K/w4+IiIiIiIiIiEKG7hx+Ctnz3kkJMs5VunRplC5d2q9l9+zZg9atW6NBgwaYPXs2XOd0/DZp0gQTJkzAvn37UL58eQDZiTzcbjcaNGhw3vr79++P8PBwfPLJJyhfvrxfowIvBnb4ERERERERERGRMR6PhSydLL0ODcreu3cvWrVqhYSEBEyZMgUHDx70vlauXDkAQNu2bVGzZk306dMHzz77LI4cOYIRI0bg7rvv9qsDcvPmzfjhhx9w+eWXO7MR+RT8HX6WK3SSaPhLN7ROtx6JqQnoTXwepj7TQLQdcH72S1ND5U0NiTe1Xt2w8mCb8N0E3ZAbMZxCClPQq0c70Yyh9kOavzkUkrI4HToi0Q31NRVmHSHUHymUZ6YL5Q6HMjidyEJnnaauvcamWTAU4iaEsllhwqTxUuibLs3QXduETwbr10qCFBlk4cimQlADMf1CXpwOrTUVGhxMIcC6pOuRGLorTMlkKCTWWKI53dBaSbAllLDbXlPfNU0dx6bu24H6vnOx6w5B+Una4YTly5djx44d2LFjBypVquTzWk6yubCwMHz66acYPHgwmjVrhujoaPTs2RNTpkzxax01a9bEoUOHjLf9QgV/hx8REREREREREYUM/ZBeZzoH+/fvj/79+593uYSEBHzyySf5WsczzzyDUaNGYeLEiahTpw4iInx/DPU3TNk0dvgREREREREREZExwTLC72K44YYbAADXX3+9TzmTdpyPiZDeYAsRMzWcWhwirle9LASGJEtDyqXh/5Q3p8PKdTNLG1lnkNHNii0xFK4p3oJ1Q3F16zH0OUohyWKIjpOcDv8JMxROrRveLZ2fUiixqWzCpqat0F1epx5Tmf5MlQvtEc+HQIXWSQxlBxczSJqakkCjXAwvdjqk11T9ToegOp0R3hSn95uT22UqpFS6XkjXhTD7kF5xCoBATVUgMTYNkMNTP5ha3o50XDr9FTGUw2JDue0OUB4LniCYw+9iWLVqVaCbYCtoekXS0tKQlpbm/XdKSkoAW0NERERERERERPnhKUQj/Fq2bBnoJtgKmg6/SZMmYfz48YFuBhERERERERERXQD9OfxC27Fjx/Dmm2/it99+g2VZqFmzJgYOHIi4uLiAtSloOvxGjx6N4cOHe/+dkpKC+Ph4M5U7HqboMA4NloUFKLuTKU6HrOkKVHt0Psdg22eSYMu06AqyMChD+8fIb4a6WaVNMRUGqUsKg9RcXjwGxeXtQ3q1Q4kDQTdU1uEQXZHT6w3162kAQnotIazRWGZggeMZ2J0WbKG+wdYeHdrnv6Fs3FJorampBCSmroMSU8+hoTDoSRWy76DBdN4WENpz+IVwj9/GjRvRrl07REdH4+qrr4ZSCs8//zwmTJiA5cuXo379+gFpV9B0+Lndbrjd7kA3g4iIiIiIiIiILoAny0Jmhv8dx05l6b0YHnroIXTu3Bmvv/46wsOzu9kyMzNx1113YdiwYVi7dm1A2hU0HX5ERERERERERBT6dEN6Q32E39mdfQAQHh6OUaNGoWHDhgFrFzv87ARb2KSuYAoB1s0wrCuYtjU/gq39TrcnmLZXuPcoZX+nUZDCIKVQP2kF523ZOctrZss1FWoSbGENJsLcgun4y0uwtdNUKJupTNFOZx/VCaMNVAhtsF2rQ2XqFN2pDUwc+7qh76YyFUvL67YnVIRK9l4nOZ4pXjNEV3d54TroEcLTlfBApcTPRDr27YstYT+Iz3ciIbzeUMeG9BzqJP19ECC6+zhUnolDiHaW3hAWGxuL5ORkXH755T7lu3fvRrFixQLUKueTahMRERERERERUSGSM4efv3+h7Pbbb8edd96Jd999F7t378Y///yDBQsW4K677kKPHj0C1i6O8CMiIiIiIiIiInMUAI/GUMsQDumdMmUKLMtC3759kZmZnaguIiIC9913H55++umAtSv4O/wsV+7htaaG1QYqbCrYwrWCiaGOfSksU1ytdZ2h9a4U6g/tXywkuuGvHpV+weuUQizE5cXYXb31uqwbbMszPZ/blodb7aQG2crwfCas1z52V9oul6uN/QoE6VlL7esX9nOYpXfbkEJupBAdictlvx/CpP2sIVDnrXT+ZGqeJ+IxLi0vhSkJ9Viwz8yoHbZu6t5tKsTYRDi40yF0Yj16i+vSvYdqX1ANnVv656hu6LFm9XbHlKnpF5xe3lSW3lAPfQvl9pu6HklTDIihuPbl0v0/S2XYl2fZZ3IPFEsJ90Tde6ih731S/dIzt30dZtqif4+w5/j3I6l6U6G+F7psIWApBZdOh18Ii4yMxEsvvYRJkybhzz//hFIK1apVQ0xMTEDbFfwdfkREREREREREFDo8ClZW4ejwyxETE4M6deoEuhle7PAjIiIiIiIiIiJjXAp6I/wMjR69mAYOHOjXcrNmzXK4JfaCv8PPQu7huIaGyuoOR9YZMg3oD5uWhjU73U5d0hB922W1Q1Dsi8NdemF7gYqgNRUabEqWWmFbrh0CKBzL0rEmhb+6CmBks+6xKYlwtTdSj67IsA4BWW9YEB0LgTpvpeuUx/OpsyuWMhJqhiNphztpXpjFe6gU5q574ZduZQaOTf37tl6Iu244ks59O5RIx2DAaDTHEo5jeXlDj+ymDoVAheiTzOEpA+SpOOzLs5R9iK7ulB6BImcBtm+/PIWMsLxmaLB4y9L6fJ0933S/+5oKDQ4U2+eOILstBZpuSG8o7r6kpCQkJiaiXr16QXlMB3+HHxERERERERERhQ4FWAV8Dr9BgwZhwYIF+OuvvzBw4ED07t0bJUuWDHSzvDirJBERERERERERGePKUgjP8Pj9F4oBCdOnT8e+ffvwyCOPYMmSJYiPj0f37t3x+eefB8WIvxAY4dcCQKxPiRSmaIoUhqobEiPVoxtCl6nss3fqCkjIYCiOyy1Awiy9jK26+PESmecO6xjoJvhIy7IPMZaz+trfK/UzGOqFHhl7ptKZasbQc0GwCZUQYN3pKUwJxP7RDV82lRlUXoHu4sIbDM3B4vS5qFu/0xlb7SgphNajF0IrfU/JEKabkO5ZutO4SPeaUKF/DOqFBkvHjk49ZsKC81Iw73HS9cIuhFkKZS+sCkNILwC43W706NEDPXr0wK5du5CUlITBgwcjIyMDW7duRdGiRQPWthDo8CMiIiIiIiIiolBhFYKQ3nNZlgXLsqCUgscT+E7wkOzwc3rUUrB1LQdqMn8iIiKnRxxmej63f0FzQnNdTiagkid7D/yDX0Hi9FeIUBnpaMfphCahvG8CycmRmtqJl4TlMzz2kUWBGlFb2IjnlvZ9KDcTowR112mStG+kdppKrKezG8KsFDPrLCB0R/iFYpZeAEhLS8OiRYswa9YsrFu3DjfddBOmTZuG9u3bw+UK7Cx6IdnhR0REREREREREwcnyZM/jV5ANHjwYCxYsQEJCAgYMGIAFCxagVKlSgW6WFzv8iIiIiIiIiIjImMIwh9+MGTOQkJCAKlWqYM2aNVizZo3tcosWLbrILcvGDj8iIiLSJoXi6oazuqwwY2262AIV1shwytAnhaA5/dnqhndKTE1Mb2o/BFuyIyLTdMNZnVynLsdDbiloWUrpzeEXgo83ffv2hWUoAZUT2OFHRERERERERETGWAp6c/iFoKSkpEA3IU/s8CMiIiIiIiIiImMsjyrwc/gFO3b4ERERkTbdUB+dbJMm12uC2HbdrLuG9oH2eqVqQiR2huGawYdfICi/0rOW2pYHKsydGHJLzrEUCnxIb7Dj/ZqIiIiIiIiIiIxxeTwIz8zye3mLPX7GscOPiIiIiIiIiIiMsTzQC+llf59x7PAjIiIibRGu9oFuQuAFb1I2IqKgFBnWIdBNIKKLRDtLLxlnaDIZIiIiIiIiIiKi7A4/l8f/Pyd/R+3cuTMSEhIQFRWF8uXLo0+fPti7d6/PMsnJyejUqROKFCmC0qVLY+jQoUhPT3ewVc5jhx8RERER0f+xd+9xNlb7H8A/z57LnhnMMOQyGYOIXCpRGpVrKOKgUuReuuAnCSfHOS4dly5OoZI6xUg6UpGUCrl0hKLoVIoSxjX3mQlz3ev3h2Oftnm+Y6+xHvsyn/d5zevkmWevZ+1n7/3svdesz/oSERGRMZaC1oCfk1q1aoWFCxdi+/bteO+997Bz507cdddd3t8XFBSgY8eOOHXqFNatW4cFCxbgvffew+OPP+5ov5wWNJHenJwc5OTkeP+dmZkZwN4QEREREREREVFxWB6luYafc4N+jz32mPe/U1JS8MQTT6BLly7Iy8tDVFQUli9fjm3btmHv3r1ISkoCAPzjH/9Av379MGnSJMTHxzvWNycFzQy/KVOmICEhwfuTnJwc6C4REREREREREZEudXbQz9+fS+X48eOYP38+mjVrhqioKADAhg0b0KBBA+9gHwC0b98eOTk5+Prrry9Z30wLmgG/0aNHIyMjw/uzd+/eQHeJiIiIiIiIiIg0fPXFHnjys/1fv6+gAAX5ucjNzUVmZqbPzx+ToBfjz3/+M0qVKoXy5csjPT0dS5Ys8f7u0KFDqFSpks/+5cqVQ3R0NA4dOmTk+IEQNAN+brcb8fHxPj9ERERERERERBQ6nnn+cWzftQp5+f4N1u3atxGWy4W1a9f6JD8TEhIwZcoU29uMHz8elmUV+bN582bv/iNHjsSWLVuwfPlyREREoE+fPlB/iBFbVuGyIUop2+2hwlLKwaD0RcjMzERCQgIyMjI4+EdEREREREREQYtjGP+jlELF8rVRtdI1uLpOlyL3LSjIxfuf/RkzZz2He+65p9CMPrfbDbfbXeh2R48exdGjR4tsu3r16oiJiSm0fd++fUhOTsb69euRmpqKsWPHYsmSJfj222+9+5w4cQKJiYlYtWoVWrVqVeRxglXQFO0gIiIiIiIiIqLQZlkWFn+QhlYt26J2SivExiSI+/746wpER5dCr1694HK5bAf37FSoUAEVKlQoVv/OzXs7N7iYmpqKSZMm4eDBg6hSpQoAYPny5XC73WjcuHGxjhEMgibSS0REREREREREoe/mm29Glcvq49vti8V9snOz8P3PS7Hw3dfhcjkzPPXVV1/hxRdfxNatW7Fnzx6sXr0aPXv2xBVXXIHU1FQAQLt27VCvXj307t0bW7ZswWeffYYRI0Zg4MCBIT1bkwN+RERERERERERk1Io187Ez/d/IyDpg+/vvdnyACuVq4dZbb3WsD7GxsVi0aBHatGmDOnXqYMCAAWjQoAHWrl3rnU0YERGBjz76CDExMbjpppvQvXt3dOnSBVOnTnWsX5cC1/AjIiIiIiIiIroIHMOwV6dGG5zJPolWTYf5bM86dRgfrBqNb7ZsxtVXXx2YzoU5zvAjIiIiIiIiIiLjPt/4Fg4d3Ybfjm332b7lx3dQveqNHOxzEAf8iIiIiIiIiIjIuEqVKqF+rY74+vt/eYtlHD2xE/sObcHa9f8KcO/CGwf8iIiIiIiIiIjIEV98/QZOZZ/A7gNfQimFzT8swFVX3IbLL7880F0La5GB7gAREREREREREYWnuLg4vPjSVDz6f0/AgguZWQfw869fBbpbYS9oi3ZkZGSgbNmy2Lt3Lxe8JCIiIiIiIqKglZmZieTkZJw8eRIJCQmB7k7QKSgoQIVy1ZF56hBmzJiGwYMHB7pLYS9oB/z27duH5OTkQHeDiIiIiIiIiMgve/fuRdWqVQPdjaC0Zs0aDOw7Dtt+WYmoqKhAdyfsBe2An8fjwYEDB1CmTBlkZWUhOTmZs/3ImHN/feFzikzhc4pM43OKTONzikzjc4pM43OKTLuUzymlFLKyspCUlASXi+USKPCCdg0/l8vlHRW3LAsAEB8fzws/GcXnFJnG5xSZxucUmcbnFJnG5xSZxucUmXapnlOM8lIw4bAzERERERERERFRGOGAHxERERERERERURgJiQE/t9uNcePGwe12B7orFCb4nCLT+Jwi0/icItP4nCLT+Jwi0/icItP4nKKSLGiLdhAREREREREREZG+kJjhR0RERERERERERP7hgB8REREREREREVEY4YAfERERERERERFRGOGAHxERERERERERURjhgB8REREREREREVEY4YAfERERERERERFRGOGAHxERERERERERURjhgB8REREREREREVEY4YAfERERERERERFRGOGAHxERERERERERURjhgB8REREREREREVEY4YAfERERERERERFRGOGAHxERERERERERURjhgB8REZFg/fr1GD9+PE6ePFnody1btkTLli0veZ8upRdeeAF169aF2+1GjRo1MGHCBOTl5RXa7/Dhw+jXrx8qVKiAuLg4pKam4rPPPrNtc+XKlUhNTUVcXBwqVKiAfv364fDhw4X2++tf/4o77rgDl19+OSzLQr9+/bT772+/WrZsCcuyCv3cdtttWsfz53zt27cPw4YNQ4sWLVC2bFlYloW0tDSt4/z666/o1q0bypYti9KlS6Nt27b45ptvbPddsGABrr32WsTExCApKQnDhg3D77//XuKPRURERBTuOOBHREQkWL9+PSZMmGA74Ddz5kzMnDnz0nfqEpk0aRIeffRRdOvWDZ9++ikGDRqEyZMnY/DgwT775eTkoE2bNvjss88wffp0LFmyBJUqVcJtt92GtWvX+uy7du1a3H777ahUqRKWLFmC6dOnY+XKlWjTpg1ycnJ89n3++edx7NgxdO7cGdHR0dr91+kXANSsWRMbNmzw+Zk2bZrfx/P3fP3yyy+YP38+oqOj0aFDB+37deTIEdxyyy3YsWMHZs+ejYULFyI7OxstW7bE9u3bffadP38+evTogeuvvx4ff/wxxo0bh7S0NHTr1q1EH4uIiIioRFBERERk69lnn1UA1K5duwLdlUvq6NGjKiYmRj344IM+2ydNmqQsy1I//PCDd9tLL72kAKj169d7t+Xl5al69eqpG264wef2119/vapXr57Ky8vzbvviiy8UADVz5kyffQsKCrz/XapUKdW3b1+t+6DTrxYtWqj69etrtf9HOufrj/dr06ZNCoCaM2eO38caOXKkioqKUrt37/Zuy8jIUBUqVFDdu3f3bsvPz1dVqlRR7dq187n9/PnzFQC1bNmyEnssIiIiopKAM/yIiIhsjB8/HiNHjgQA1KhRwxvzXLNmDYDCkd7du3fDsiw8++yzePrpp1G9enXExsaiZcuW2LFjB/Ly8vDEE08gKSkJCQkJ6Nq1q22U9e2330ZqaipKlSqF0qVLo3379tiyZculuMten3zyCbKzs9G/f3+f7f3794dSCu+//7532+LFi1GnTh2kpqZ6t0VGRqJXr1746quvsH//fgDA/v37sWnTJvTu3RuRkZHefZs1a4Yrr7wSixcv9jmWy3VxH1H87ZcJOufLxP1q3bo1UlJSvNvi4+PRrVs3LF26FPn5+QCAjRs34uDBg4X6dPfdd6N06dKFzndJOhYRERFRScABPyIiIhsPPPAA/u///g8AsGjRIm/M87rrrivydi+99BK++OILvPTSS3jttdfw008/oVOnTrj//vtx5MgRzJ49G8888wxWrlyJBx54wOe2kydPRo8ePVCvXj0sXLgQ8+bNQ1ZWFm655RZs27btgn3Oz8/360cpVWQ733//PQCgYcOGPturVKmCChUqeH9/bt+rr766UBvntv3www8+bUr7/rFNE/zt1zk7d+5EYmIiIiMjccUVV2DMmDE4c+aM38cC/DtfF+PMmTPYuXOneL/OnDmDX3/91adP5+8bFRWFunXrFuqTZVk+A9jhciwiIiKikirywrsQERGVPFWrVkW1atUAAI0aNUL16tX9ul3ZsmXx/vvve2dyHT16FMOGDUPdunWxZMkS734//fQTpk2bhszMTMTHx2Pv3r0YN24chgwZghkzZnj3a9u2LWrXro0JEybg7bffFo+7e/du1KhRw68+rl69usiCI8eOHYPb7UapUqUK/S4xMRHHjh3z2TcxMdF2v3O//+P/S/v+sU0T/O0XANx888245557ULduXZw5cwYff/wxnnnmGaxbtw6rV6++4Kw8nfN1MU6cOAGllJHzvXv3bp9tERERiIiICLtjEREREZVUHPAjIiIyqEOHDj4DRFdddRUAoGPHjj77nduenp6OBg0a4NNPP0V+fj769OnjjS8CQExMDFq0aIHVq1cXedykpCRs2rTJrz7WqVPngvtYluX370zsW1QbEqUUCgoKfLb9MS7sb78mTpzo87sOHTqgevXqGDFiBJYsWYKuXbsCgM/jApwduDrXjs45uFhOnO/z71u4HIuIiIiopOKAHxERkUHnzzw6V2FW2p6dnQ0A+O233wAA119/vW27F5plFh0djWuvvdavPv5xdpWd8uXLIzs7G6dPn0ZcXJzP744fP47GjRv77Gs3g+348eMA/ne/y5cvDwDivnYzti5k7ty5hdZyOxdX9rdfkl69emHEiBHYuHGjd8AvKirKZ585c+agX79+WufrYpQrVw6WZWmf70qVKhXa90L3P1yPRURERFRScMCPiIgoCFSoUAEA8O677/oULvCXyUjvubXovvvuOzRt2tS7/dChQzh69CgaNGjgs+93331XqI1z287te+7/v/vuO3To0KHQvn9s01+dOnUSZzX6268L+eNA6/nHOne+dc7XxYiNjUWtWrXE+xUbG4uaNWsW6lO9evW8++Xn5+Onn35Cjx49SuSxiIiIiEoKDvgREREJ3G43APhdvOFitG/fHpGRkdi5cyfuvPNO7dubjPTedtttiImJQVpams8AVlpaGizLQpcuXbzbunbtikGDBuHLL7/07pufn48333wTTZs2RVJSEgDg8ssvxw033IA333wTI0aM8M4y3LhxI7Zv345hw4Zp3Nuzypcv753xdT5/+yWZO3cuAODGG2/0bmvSpIntvjrn62J17doV06ZNw969e5GcnAwAyMrKwqJFi9C5c2dvpLlp06aoUqUK0tLScM8993hv/+677+L3339Ht27dSuyxiIiIiEoERURERLZWr16tAKiHHnpIrV+/Xm3atEllZmYqpZRq0aKFatGihXffXbt2KQDq2WeftW3jnXfe8dk+Z84cBUBt2rTJu23y5MkqMjJSPfTQQ2rx4sVqzZo16u2331aPP/64Gjt2rHN31MbEiROVZVnqL3/5i1qzZo169tlnldvtVgMHDvTZLzs7W9WvX18lJyer+fPnqxUrVqiuXbuqyMhItWbNGp99V69erSIjI1XXrl3VihUr1Pz581VycrJq0KCBys7O9tl3zZo16p133lHvvPOOiomJUS1btvT++/Dhwxfsv7/9+vzzz1X79u3VrFmz1PLly9UHH3ygHnnkERUREaFat26tCgoKjJ4vpZT3fjz99NMKgBo8eLB324UcPnxYValSRTVs2FAtXrxYLVu2TDVv3lyVKVNG/fjjjz77zps3TwFQDz74oFq9erV69dVXVdmyZVXbtm0LtXvu/obbsYiIiIhKKg74ERERFWH06NEqKSlJuVwuBUCtXr1aKeXMgJ9SSr3//vuqVatWKj4+XrndbpWSkqLuuusutXLlSkfuX1GmT5+urrzyShUdHa2qVaumxo0bp3Jzcwvtd+jQIdWnTx+VmJioYmJi1I033qhWrFhh2+by5cvVjTfeqGJiYlRiYqLq06eP+u233wrt16JFCwXA9ufcY3Ah/vTr559/Vh06dFCXX365crvdKiYmRjVs2FBNmjSp0CDkhfh7vqT75e/fYX/55RfVpUsXFR8fr+Li4lSbNm3U119/bbvvW2+9pa6++moVHR2tKleurIYOHaqysrJs+/TH53O4HIuIiIiopLKU+u/q1kRERERERERERBTyii75R0RERERERERERCGFA35ERERERERERERhhAN+REREREREREREYYQDfkRERERERERERGGEA35ERERERERERERhhAN+REREREREREREYYQDfkRERERERERERGEkMtAdkHg8Hhw4cABlypSBZVmB7g4RERERERERkS2lFLKyspCUlASXi3Or7KxcuRJ/a9sLa3PSER0dHejuhD1LKaUC3Qk7+/btQ3JycqC7QURERERERETkl71796Jq1aqB7kbQyc/PR7WoBBxFNu7CFXhL7Qh0l8Je0M7wK1OmDABg5+40lImPC3BviIiIiIiIiIjsZWWexhXV+3nHMsjX/VEN4IHCw6iPOfgJJ0+eRNmyZQPdrbAWtAN+52K8ZeLjEM8BPyIiIiIiIiIKclySrLDff/8d72MXeuNKXIsKSEZp9Cx3DZapPYHuWlhjsJyIiIiIiIiIiBxxX5mGqIhYXIfLYFkWuqMWPsM+pKenB7prYY0DfkREREREREREZNzBgwfxKfaiO2p5Zz+mWGVwHS7DvSlNA9y78MYBPyIiIiIiIiIiMu7epCZogETUshJ8tndDTXyNw9iyZUuAehb+OOBHRERERERERERGbdu2DRtwCHfhikK/q2DFojWq4r7r2kApFYDehT8O+BERERERERERkVE96zdHcyShkmVfiPUOpCAdWfj000+12n355Zdx9dVXIz4+HvHx8UhNTcXHH3/s/b1SCuPHj0dSUhJiY2PRsmVL/PDDDxd1X0JR0FbpJSIiIiIiChfuiI6B7oJxBWqF7fZ8T66R9sPxnIW6nIKPAt0FChFr1qzBDpzEAFwl7hNnRaGTqoEHbr8Le/IzEBER4VfbVatWxVNPPYVatWoBAObOnYs//elP2LJlC+rXr49nnnkGzz33HNLS0nDllVdi4sSJaNu2LbZv344yZcoYuX+hgDP8iIiIiIiIiIjICI/Hg36tOqMDUlDGii5y39a4HLkowMDIBn6336lTJ3To0AFXXnklrrzySkyaNAmlS5fGxo0boZTCtGnTMGbMGHTr1g0NGjTA3Llzcfr0abz11lsXe9dCCgf8iIiIiIiIiIjIiAULFiATuWiL5AvuG2m5cCeuwGL8iuPHjyMzM9PnJycnp8jbFxQUYMGCBTh16hRSU1Oxa9cuHDp0CO3atfPu43a70aJFC6xfv/6i71soCfpIr/Xf//2Ry7Kf5hlhRYlt2PLka/XF47JvR8F+gUmlPPbtqAKtdkoS8bEKEXwMQ1+ky/4vUKaiKURERBRY0nu9JJQ/AwQqfhlh2X/NjHS1v8Q9IdNMxawZDQ5vz9/3GFoiCdHC2M35rkdFLMDPGD58OObOnevzu3HjxmH8+PGFbvPdd98hNTUV2dnZKF26NBYvXox69ep5B/UqVarks3+lSpWwZ8+e4t2hEBU0A345OTk+I7eZmZkB7A0REREREREREemqcXcLRLy7FS5h0lRhFqILItCzZ0/MmDHD5zdut9v2FnXq1MHWrVtx8uRJvPfee+jbty/Wrl37vxYt32MrpQptC3dBM+A3ZcoUTJgwIdDdICIiIiIiIiKii2C5AJd/E/zOKgCio6MRHx/v1+7R0dHeoh1NmjTBpk2bMH36dPz5z38GABw6dAhVqlTx7n/48OFCs/7CXdAM+I0ePRrDhw/3/jszMxPJycmIRiSicV5Ut0CI4uZn2W+X9hcitxKXJSx5GCGcRpf99rwo+2e9NNYsRYNDmSWdyxCn+/eCUHlsgymqLMW+TfUxlGM7REREdGFOv9c7uURNbsEy2+0RLvuljaJc9jNjpCWGpM/oEVZbP3pHFLqk1620nJjd0gDuiOD5zhQMLAsaM/yg/2X6PEop5OTkoEaNGqhcuTJWrFiBRo0aAQByc3Oxdu1aPP300xd3kBATNAN+brdbnKpJREREREREREShweUCIjRm+OmM9/3lL3/B7bffjuTkZGRlZWHBggVYs2YNPvnkE1iWhWHDhmHy5MmoXbs2ateujcmTJyMuLg49e/bUvh+hLGgG/IiIiIiIiIiIKPRZlqU3w0/Db7/9ht69e+PgwYNISEjA1VdfjU8++QRt256djTxq1CicOXMGgwYNwokTJ9C0aVMsX74cZcqUcaQ/wSr4B/zy84D886bdS9V1pehugf20fVWQZ7+/bsxSmPpuRdrPWIxScfbtRMUI7dtP0Rf7qVl9WCTFboWosri/7b6afdGdHa3ZvlJ6B1CwP/e6FZu1zlkR7UjHNRUpCfXqyXZMVRgLFU5XQjP2XHMw7i+9fqRjBlvkPpii9UTkDKeXraBLQ3q8dN+L7SKDUnRXty+SAo/996MC2EeJA/XcLGmf40ifFMWVKki7IExFk75bnz9GIW0rwc5GenVu4P+ur7/++gWObWH8+PG21X1LkuAf8CMiIiIiIiIiopDhigAio/wfxQu/KSaBxwE/IiIiIiIiIiIyxmVZcEVcuqIdVFjwD/h58gtPo5Wiu8J0WzG6K03PFbcL8S4pZpl72n7/7Az77bpRWVNxM83qw5YwPdq2/1IFY+mYunE+3f2FOcWWdO6F7ZYw5TvXc8Z2u9NxB904pW5sUjcKqUsnqswIR3CSnuNSnEL3OStVEzTx2lJC20REF0u36qN0TYt23WakP04v7xAqdD9LSJVxTX0OEqPcGp/1tZeV0WzHadI5kM5xvudT2+2RrvbG+kR6TF1fdK+bEcLyV+JnTem7vhLiuNJryG5MIl8YdyihLAuIcHDVL7qw4B/wIyIiIiIiIiKikHF2DT+dYTwO+ZnGAT8iIiIiIiIiIjLGcp1dx8//GzjWlRIr6Af8VM7vUDnnxa00I72O72+KGCs1VLVSN0YrxHGVTvRYigVLFcY0+6J9n6RUg6UX185VOUJDQvMOX72kuEOUZgRIdyq+FIVk7Db4hPpjEkwxtECdy2A6B0QlgW7E0G5/7cin9LlDiJSKzQixzGB7Lwi265puf0xFrQMh2M69RHodSjFOj1ppu92lhM/irjbF6ldJluf5RGv/wEV0NaK4RbUj7V9gEwHOEZb0KqEsy9Ka4cfxPvMMjSQREREREREREREBLuvs3CV/f0Ldv//9b/Tq1QupqanYv38/AGDevHlYt25dwPoU9DP8cOYkEHnebCrd0Xppf6kIR77DC7hLhSOuGOHscQXq4Ez7X0jnR5oNZ6INU0U7HJ4pGO2Ktd0uFRYoUEJBGUOFV6TjmhJsMwKo5OFzsOTNLDR1f53sv6nZ2zozxooizerSne0d6kwVWNCd4RdhtfW7banggNgX7b7b0309mHodKrXKdrv0eUoqgmaKqeuCqfMptWP3HNQtqiEdM9iusbr3S3x9eoR2IoRcoecz++2c+SeSvnfIM/bsv3+Jsy7z9ZJUuoU1xZl8edn2zeQJ16P8wjP8VLaz165QczbSWzKq9L733nvo3bs37rvvPmzZsgU5OWefx1lZWZg8eTKWLdObqW9KGIyjEhERERERERFRsDhXpdffnxAe78PEiRMxa9Ys/POf/0RU1P9i6c2aNcM333wTsH4F/ww/IiIiIiIiIiIKGZbL0pvhF8K2b9+O5s2bF9oeHx+PkydPXvoO/VfwD/jlnAGiz5uaLUVupem80tRuaX+JFCwXFqK06ozRaz9ArCqDAt2F//n9PfvtUqEQ3YiuWBjFzLR9aU1SrWrkRERBJNTj1E72X4qOSrEmU9FdKU5V0qK7kuiIDoHuwgVFutoHugs+pFimblxTei7rPyb2x9V9PUuvUaefI05HfQPRl6CjGctERCf77WGad7N77kvvTVKcWoriupXwfUoqWKH7nVuX9B1dOq5dsQ0UEd2VnlM2kV7kacaRw1yEy0JkZMmI9FapUgW//PILqlev7rN93bp1qFmzZmA6hbC9xBERERERERERUSCcXcPP/58QHu/DQw89hEcffRRffvklLMvCgQMHMH/+fIwYMQKDBgVuglXwz/AjIiIiIiIiIqKQYVmASyfqFsIjfqNGjUJGRgZatWqF7OxsNG/eHG63GyNGjMCQIUMC1q/gH/DLyQWizpuImC9M4ZaiuxJpmq8Y3bXf32o4Xu+4mtTxN+yPGxFlux0JPRzsTREy/uX/vlK0tszdZvpCxRIyMQ4iIqfYVWwUKv2JsUC12khXpJhVpOtWI+0TnRNs7/+m+hOoeLcUhZQixroVak0wdY6lGLcUHy1Q9t/jpHYiLOH7jkblVADyskGl77Tf7rA8zye228VKt9LX9lz7GG10zu+Ftimp+q0QcUWB/WOlpOq3EmF/K0lvEEQdftX+F9JSTtJ2qf/Sc0dnu7RvCWVZZ2fulRSTJk3CmDFjsG3bNng8HtSrVw+lS5cOaJ+Cf8CPiIiIiIiIiIhChstlIUJjhl8IT/BDRkYGCgoKkJiYiCZNmni3Hz9+HJGRkYiPjw9Iv7iGHxERERERERERGXM20uv/TyiP+N17771YsGBBoe0LFy7EvffeG4AenRX8M/xy84HcPN9tUpVeUzz27VuNJzp6WHVwpv0vIqPttyf2ca4zxRGoKDEREZEuu+guIFd+tJP3sd4xNeNFlrT0iGeJ/XYpfpWTZd9++X727RCRD6VW2W+H8NoVXuvSTAup8rYO6ZgSKVKqW+3bVHQ3yhVjv78UQ9W5Vhfl9GL77XFdzbQviCqwj3GrrIP224XorhjHtY2bCs8z8b1G2i5E0DXbUb/9zX5/aXmtaCHeHSlkRqXtEul+ScuJ2Z3PM0JF3xLqbKRXZxQvdEf8vvzySzz33HOFtrds2RJjxowJQI/OCv4BPyIiIiIiIiIiChnnZviVBDk5Oci3GRzOy8vDmTPCmqOXQAk5/UREREREREREdClYFmC5lP8/1qUvYGTK9ddfj1dfLVxYZtasWWjcuHEAenRW8M/wy8m5+F4Kw8rW9ZMvsuHiUXum2v9CmorPaj9ERGSKFF+S3oOkZSWkausRbfX7pCPrHb39pf5L23VicboVAIXIrbi/FFnTjJpZgS0QRxQyCtQKrf2laqW6VXd14rjSMXWjuFKkV9quS4r6Rlr2116rIM92O/KEiKR0PZVI51iKoZqq6pu91HazyrSP7or3V6wUK8R07WKo4r66UV8zkV5t2UK8W3cKmakpZ3b367TQx5LKpfexKpRNmjQJt956K7799lu0adMGAPDZZ59h06ZNWL58ecD6VUJOPxERERERERERXQoWzs7a8/cnlN10003YsGEDkpOTsXDhQixduhS1atXCf/7zH9xyyy0B61fwz/AjIiIiIiIiIqKQYbmAiEiNgbzQrdkBALj22msxf/78QHfDR9AM+OXk5CAn539TYDMzMwEASikodZGjvQVC1d2La7X4zq86XExq59P2v5AqEgnzaa1qw430h4ioRDsjVE6VYjhSxiFCeGuW9o/pZL9diBFpZyuibrffLt3fAiEGJcVTpTirKXlC+9LjYnf+dc+Z7v7SuZEiaxn/st2shEqfVtleev3RJH4e0alsCOjHxyRCO1ajv+u1Q2Ert2CZ1v66EV1dUuVau6ivbjVeiakIsES6T2JlY+l6J10XpPcO3fcU3fMpLSshXMdVnrBYv/QepHsepO1211ndSK9wDRe/m+tGd01FfcX2hX66NEcBpAiwzXblufiK2+Hk7Bp+ge7FpXfmzBnk5fmO+cTHxwekL0Fz+qdMmYKEhATvT3JycqC7REREREREREREunQKdrhUSE/wO336NIYMGYKKFSuidOnSKFeunM9PoATNgN/o0aORkZHh/dm7d2+gu0RERERERERERJrOzfDz9yeUjRw5EqtWrcLMmTPhdrvx2muvYcKECUhKSsIbb7wRsH4FTaTX7XbD7Xb7t7Oh6cKez4UoqxRBEbhaz9Drj1RhSDyAVDnRPrprXfFnvfaJiKgwKbKqS6oGK9GNKUmVBKX3Ds0KryIpjmQqZiWQYqvyDTTjozqrbgjn2BKqU2p/mpUqgGreJ3UszX7/AuExzDltv116zCViDEozHimdNvHzoP0N1Ja/Ce1oVlRtPFFrfwo+0REdbLfrRn1NkSLDdrNdpKis03QjwJJ8z6e2211RMfY3kK5T0luN7nuEVB1Yl7Q0g6n3Su04rk6kV4juCstiacWITdIeA9CM9IrfuXWO6XBMOcRYlmZR5BCe4rd06VK88cYbaNmyJQYMGIBbbrkFtWrVQkpKCubPn4/77rsvIP0K8XFUIiIiIiIiIiIKJiWpSu/x48dRo0YNAGfX6zt+/DgA4Oabb8bnn38esH5xwI+IiIiIiIiIiMwpQZHemjVrYvfu3QCAevXqYeHChQDOzvwrW7ZswPoVNJFekcfj/9RY3epuhqbcetY9brvdioqyv0Gk5mkXph1b9cfqtUNERIV5PrPfLkVxpQp6pqKsuu9NUvsFhmIlQkVYXdoxK6djMTqPl3iOhSZ0+yJ9ytV97kj7i5+PHK6crBuP8mhmeTxC++LSLML+UlVFKSL95RO2262mTwnHpVAhRX1NySn4SGt/ZfdaDPFvxZGu9rbbPWql7XZXdJxW+5Z4WROiu+J1U/P6qPvZQNpft4q5dL2z21+6pulW3dWNF5t6PzfVjvRdXFw+wv78uG5+tvC2zEwALxSvX2Ho7ECeMzP3pkyZgkWLFuGnn35CbGwsmjVrhqeffhp16tTx7qOUwoQJE/Dqq6/ixIkTaNq0KV566SXUr1/feH/69++Pb7/9Fi1atMDo0aPRsWNHvPDCC8jPz8dzzz1n/Hj+Cv4BPyIiIiIiIiIiCh2W3t8oLI2/+61duxaDBw/G9ddfj/z8fIwZMwbt2rXDtm3bUKpUKQDAM888g+eeew5paWm48sorMXHiRLRt2xbbt29HmTJlNO9M0R577DHvf7dq1Qo//fQTNm/ejCuuuALXXHON0WPpCPoBP1fTiXDFx/ts86wZpteIob8GaBfnICKioFdg2b9HREQKC4hbwgLcugtzS+9NpmZ16RJm8hmbmReo+6Xbvs5xg+2+mnquSdvFlbd1+685QylQi6BrzoZRNokP183/MNolCm3uiI6226ViIZbNN2VTxTOCjcu61f4X4rdV++IfcNnfwMrLtt2upOuLNANPaEcu2mGo8IU0k09jtp1YhCNXmP2oe8wApe10uW572Xa7Z+X/CTdgIY7isiwFl0Mz/D755BOff8+ZMwcVK1bE119/jebNm0MphWnTpmHMmDHo1q0bAGDu3LmoVKkS3nrrLTz00EMX3YfExETs2LEDFSpUwIABAzB9+nTvQGK1atVQrVq1iz7GxQrtOeFERERERERERBRUXBbgilB+/wAKubm5yMzM9PnJycm54LEyMjIAnB2EA4Bdu3bh0KFDaNeunXcft9uNFi1aYP369Ubu37m+AmcHE7OzhT8IBFDQz/AjIiIiIiIiIqIQoluMwwLeeusttG/vu9bnuHHjMH78ePFmSikMHz4cN998Mxo0aAAAOHToEACgUqVKPvtWqlQJe/bs0eiULDU1FV26dEHjxo2hlMLQoUMRGxtru+/s2bONHFNX0A/4eT57HJ5S5y2cLkZK7Llu5cKZRERkL8Jqq3eD3MX223UXUjdV5EOXoSIcxmKigToPOlEiUxFdpwu4SHSPa6qIiNN0z4/TC8fbxNY8q4ba7splYuiPpGIh+R4htlqSZC+13y4V1pKuX6beo6XlO04LM3vEuKxmsSAThTUMxIKLPGawRXqFMQPPBw/Y7y8W87BfWM7zySOFt50Snh8llGUp7aIdPXv2xIwZvu+Rbre7yNsMGTIE//nPf7Bu3TqbPvg+fkqpQtuK680338Tzzz+PnTt3Ajg7yzDYZvkF/YAfERERERERERGFDsvSm6tlAYiOjkb8eTUcivJ///d/+OCDD/D555+jatWq3u2VK1cGcHamX5UqVbzbDx8+XGjWX3FVqlQJTz31FACgRo0amDdvHsqXL2+kbVO4hh8REREREREREZljAZZL+f0DjYl3SikMGTIEixYtwqpVq1CjRg2f39eoUQOVK1fGihUrvNtyc3Oxdu1aNGvWzNQ9BADk5eWhevXqOHbsmNF2TQj6GX6uNv8oVKWXiIgoUFR2lu12K7qUcAOHo6y6MSWBWI3XVHTXabrRIJ1+Ol1118m+m2zHVFzL6XbEGJpe+9oROrvtQl88yx62b0OI3Lk6v2a/P4W1SFf7C+8UYOrgTPtfRAhfMyPso7hWpBDZE6rumroOWhFR9s1LkWHpfknXkVOn7feXIsDaSxVoXKd0Y8QFmtVVpb7otqMrQholkirO2+9vSedHmqJm106eEOEuoSzL2MfUQgYPHoy33noLS5YsQZkyZbxr9iUkJCA2NhaWZWHYsGGYPHkyateujdq1a2Py5MmIi4tDz549jfYlKioK33//vbGosEmc4UdEREREREREROZY6uw6fn7+6Hj55ZeRkZGBli1bokqVKt6ft99+27vPqFGjMGzYMAwaNAhNmjTB/v37sXz5cpQpU8b0PUWfPn3w+uuvG2/3YgX9DD8iIiIiIiIiIgodLs01/HSIs/D/wLIsjB8/vsgKv6bk5ubitddew4oVK9CkSROUKuWb/Hnuuecc74MdDvgRERHZUHun2f8iKsZ+fyFeJMWUxAitJt3wQMCiu6ZiqMHUT92+mDhmUccV9zdUITHoIr1mjit+adCtaGnXvu45oOCU+faF9/kj4TWtCuzjflZiH90eBQ2ryiDb7erwq/Y30Dw3ELfn2PfHirDfX4oGS3lDIXos7i9dF4Torso4Zb9/nplrg7K7PpqK1hY4fP2K0Bwh0k3RChFg6exYQgTYto3TrNLr479r+GnsHrK+//57XHfddQCAHTt2+PwukFFfDvgREREREREREZEx2mv4hfCI3+rVqwPdBVsc8CMiIiIiIiIiInMiLFhRLBtRlBkzZmjfpn///n6vQ8gBPwNODb3VdnupGSsvcU+KJ3fGXVr7Rw9913Z7zj+6Fd4oTB13j1qsdUxduS92t91uCVO4Lbcw/T/afntkr3nF6hcRBR/18xS9G3iEmJ/UvvQLY9V19fpjrGqwqUii7nELhPtrKtKrc7+cjsrqHle3fVNRWfG4DkduA1UFWGrHLgJsKqZMgRV/j9bu6uhs+18I7x9qv/CFL7dwHNSqMUqrL0FHvLYLUUjN9yAlLRgmRXQluUJ13cxM++MeO2m//WiW7XZPlnB/HbwG6Fbdlb43Oc4VXEse2MajBZ4zrNLrw7L0ItohPMOvVatWRUZ3V61aZbt92LBhqFq1KiIihPGI8+zduxd33HEHB/yIiIiIiIiIiCgALJyt3KF1g9B07bXX+vw7Ly8PW7duxffff4++ffsWedvNmzejYsWKfh1Ht8IwB/yIiIiIiIiIiMgYy2XpzRQN3fE+PP/887bbx48fj99//1283bhx41C6dGm/j/OXv/wFiYmJfu8fVgN+Z/7W0f4XwjRcJVRBUnn2VZZKPb9Cqz+/D7GP+pZ+MTSivpLc5+/0f2dh6nj2k51st8eMXVqcLl00lWP/mEcNeOsS94SInKJ+eNL+F1K0Tqq4J8SFrGtG2B/34Ez7dqRIr9ORW1PRV1N0z79OhdQitxuITZmKNZuKcBmKEgddhFbidERXPK5G+4zolkx59pVZxYq2P060b8fmOaW+HafVFeuaCVr7qy1/s/9FjH3FecQIUVkpWiu9fnKFKKS0XXptSbOJIjW/9mbaf0FXR47bbi/Ybx/19WTYVxPWrpgrDZpI7egMsmhWrZXoVLMtUqCixBKNx0rlaC6zEu60Z/iFn169euGGG27A1KlTbX8/bpzeNX306NFa+3MFRSIiIiIiIiIiMsdlnR3A9fcnDG3YsAExMTFF7nPmzBl88MEHyMoqvOZnZmYmPvjgA+TkCH88uICwmuFHREREREREREQBZll6Mz9DeMyvWzffAqZKKRw8eBCbN2/G3/4mzJz+r1dffRUffPABOnfuXOh38fHxmDFjBvbu3YvBgwdr9yusBvykiK6oQG9/KaIrkaK7GQ+31WonYZZelFib5pTy6Mfes91uW6VX05nxd9hujx3/oVY70UMW2m6XKhKrbPuIWPakP9lujxmzRKs/RHRxPJ8Pt/9FdJTtZsuu0pUUX8zTjAtFClW0dGNQErtKn0ARUVZDFVUlurEsidPxUfG4Dp+fUBCIKGtR7QeoarBuhUoniWsaSa83CilSdFckxEdt2276lGZv7HlW/p/9L6SIbo5QVfaE8Do8bR9rxukztpvV7/btq2yhsrFwXbCi7N+jrSj715bUjjpl/9nAc9z+fnmk/gvXHe0KuCZikcIxtaO4QtXVkIkAC/u7H1900V2JzswE/pJw0e2EDZdmld4QlpDg+7i7XC7UqVMHTz75JNq1a1fkbefPn1/koOCwYcPw5JNPcsCPiIiIiIiIiIgCy7J0B3ZDd4rfnDlzin3bn3/+Gddcc434+6uvvho///xzsdrmgB8REREREREREZljaa7NF7rjfT6ys7Px9ttv49SpU2jbti1q165d5P75+fk4cuQIqlWrZvv7I0eOIF9KAF1A0Az45eTk+CxEmJl5ttLRqVGdERHtZzdNLfSoGflQHvvj6kZ3ldLrv6losBTR1WViGrTTPCftF7uUpvNDNyZOFOY8yx4WfmEmoufq8rr9/scz7LcLfzVUOrE4zSqxrm72f8ETz430l01TVWgl0jlwulpaiEdoTcQ+9aNaAYq7SDFr3XMgPeZCO+J7rnRczSVYxPY1mYi5iTFCoW6eVLybwpuJmK7ngwdst0tVQ1WO8F4jvW6laO1p++hrgWb01SOsR6/71hERKUV9zbz3qTzpuibFZYX+SK91Q99nba9fUhRX81pnKo4sXqkdLt6gu1QUXYQIS3wfDBcjR45Ebm4upk+fDgDIzc3FjTfeiG3btiEuLg6jRo3CihUrkJqaKrZRv359rFy5Eo0bN7b9/YoVK1C/fv1i9S9ozv6UKVOQkJDg/UlOTg50l4iIiIiIiIiISJcLelV6Q3CG38cff4w2bdp4/z1//nykp6fj559/xokTJ3D33Xdj4sSJRbYxYMAA/P3vf8eHHxYejF66dCkmTpyIAQMGFKt/QTPDb/To0Rg+/H+LsmdmZnLQj4iIiIiIiIgo1FiusC9GlZ6ejnr16nn/vXz5ctx1111ISUkBADz66KPo0KFDkW08+OCD+Pzzz9G5c2fUrVsXderUgWVZ+PHHH7Fjxw50794dDz74YLH6FzQDfm63G2534UqGynP2xy+GIhwSaaq2NNVcN6Ir3c+TD0lVXfTaP35/e9vtia9/qtVOKPP8LlTj1IwLEZVYufavIZWnWUFWU/6+LK39beMmUmRF6GPUI2/bbpeqd4uRBSmaIsYXhe1SO1LVPak/Tn/wcrg6sHaUSOBkxVa5AquZSoLGGIru6keAheeI9pIqzkZ3lWYlXbvHXQmvQytG7yO4Z1F/+64ISwxQyZO/+6Ttdmk5m4IT9pHbfPsiuvAU2L8e8rLtn+P5eVJV3Cj7Awik6KsY3bX0IrRS5FYivYXK0V3hPVropy75Lb1w+5bLPpatu5SAeG0UiMsjBKh66+nH7b9bx/1j+SXuSfizXHqf2ywr9Kb4uVwuKPW/19vGjRt9Ku6WLVsWJ06cuGA7b775Jjp37oy33noLO3bsgFIKderUwYQJE9C9e/di9y9oBvyIiIiIiIiIiCgMWJbza0cHWN26dbF06VIMHz4cP/zwA9LT09GqVSvv7/fs2YNKlSr51Vb37t0vanDPTtAP+JWe+gFKx8cHuhsA5CIZ0kw+v2cmeveXXgxmiogU5Ntv/63X7bbb83Ol++X/i7bqux/5ve+lEPfMJ4HuAlFIk4pq5L3Ww/4G0uLfQkGcCOG4BQd/v1DXfNvXmCkU99THttul2dXSX+V1J86ZWsjbihLOmjSrwOlZYxJTH/gC1X8NJoo9GG1foD1DzuniGaZmXTo8+0ScERjtf9EO3Rm+0oya8A5KkY6Mr+3fJwvypJl50bbbdRNKukzNwJO+ZykhASVOqBNmLkr9lK6Cutdl3ZmFEp3PHtqfO6R2tD8HScc1M+NQPKrmd/Hfh9xqu12nP6dyi1dJNWxZCInPbRdj5MiR6NGjBz766CP88MMP6NChA2rUqOH9/bJly3DDDTf41da5wrXnsywLbrcb0dH21+2iBP2AHxERERERERERhRDL0hsMD8GxwTvvvBPLli3DRx99hHbt2uH//u//fH4fFxeHQYMG+dVW2bJli4w1V61aFf369cO4cePg8nO0nwN+RERERERERERkjssK2FqNl9Ktt96KW2+1nyE6btw4v9tJS0vDmDFj0K9fP9xwww1QSmHTpk2YO3cu/vrXv+LIkSOYOnUq3G43/vKXv/jVJgf8NOhGd3WLfEhcwlC3WCxEOK7cT/vt8vRlaWp9CA7JE5ERKivXfrsQ6fMI+58aav9mmZdjf0HyCEsV2F0fpX0ze9ova+Dx2L9FuoRIjCvCTExJf0Fw+4u4qehxoJiKO5lgKl5kKtYSsEivxMECKEWSYu6a50dJ0V0hjqukuLxdkQIhci8ta2BJ24X7mjvjLvv2T9nHytyj37fdTqHjx5ZdbLe7IgsXPwTk9wKp6IVLKoYRqDpQwnu3cvy9TLq+mGld+iyhS6c/puLULuEaKJRvC1hBE10Js1ZcdBsFmZnAKwkGehMmXAj7SK9Jc+fOxT/+8Q+fdfw6d+6Mhg0b4pVXXsFnn32GatWqYdKkSX4P+IXIx34iIiIiIiIiIgoF1n8jvf7+IASr9Jq0YcMGNGrUqND2Ro0aYcOGDQCAm2++Genp6X63yQE/IiIiIiIiIiIyJ8IColz+/5RwVatWxeuvFy6Q+PrrryM5ORkAcOzYMZQrV87vNhnp1VD2leVa+x/t397IcRNf/1Rr/8O9b7Pd7nTVrWCryEtEl47ntH18TGXbby84kWO7/XSG/dtSzin7WFyBUF3PjnYVXalCnxBBkWJQcmxHt6Kf1u4Bi8RIjMViAyBQ8WLHo3IBWorD6YrWunF2sVJklF5kWNnEd60oKbordCbXfn+pSq9cCd0+XHf6cfvq46eP27dfYY7eZ1Ay65umnf3eN0J4Xka7pWrTwnNTcwkguWqtmfc+iamlDUwx9RlD3N/AdTNC+uYvZHGlc+zRjgbbb5fPmXTtNVNlWPc7PRWfZVnikhT2N3CuL6Fg6tSpuPvuu/Hxxx/j+uuvh2VZ2LRpE3766Se8++67AIBNmzbhnnvu8btNDvgREREREREREZE5lhU6i0cHgc6dO2P79u2YNWsWduzYAaUUbr/9drz//vuoXr06AOCRRx7RapMDfkREREREREREZI4LZyv1lhDvvvsuFi5ciPT0dOTm+hYo/Oabb/xqo3r16njqqaeM9YkDfg4KVAyi4rxPAnLcULC+4R2225t99+El7glReCk4etp2e95p+zf57Kwo2+1SpFeq0iuxq5grVSTUjR2J0RSNeDH9D6PHoU838izHuwxFd8V4vXBc6dqQrxfTd+XlFd4oVfoVKwML2TpTX5iEqsEV5nxsu31vt46225MXhfYyLpub+B+VLYrL/nRqu+7LD2y35+dpvLbs31bF6H5BnhDXDJH3MqcjsRLp9S9XqDXTH91YrF00WwnPBd2orHhM6SERnlNSNFi8hot5TzNRX3KA7gy/EC7aMWPGDIwZMwZ9+/bFkiVL0L9/f+zcuRObNm3C4MGD/W7n3//+N1555RX8+uuveOedd3D55Zdj3rx5qFGjBm6++WbtfvFlQERERERERERE5liuswN+/v5o+vzzz9GpUyckJSXBsiy8//77Pr9XSmH8+PFISkpCbGwsWrZsiR9++MHQnfM1c+ZMvPrqq3jxxRcRHR2NUaNGYcWKFRg6dCgyMjL8auO9995D+/btERsbi2+++QY5OWfXPM/KysLkyZOL1S8O+BERERERERERkTkWzs5Q9/dH06lTp3DNNdfgxRdftP39M888g+eeew4vvvgiNm3ahMqVK6Nt27bIysq6yDtWWHp6Opo1awYAiI2N9R6jd+/e+Ne//uVXGxMnTsSsWbPwz3/+E1FR/5u23axZM78jwedjpJe0SRXDPDZz2Ztsto8oBIpHKCW2+kr7yEqrHaEdWSG6VE7ut88SSVFcqepu7hm940YKVTTthEpMSaqEaIoUcTF1XFMRmkBFfXX6L1dgDm0mqkEW1Y4YB9Ou/Gi/f4RQuVbsjxDdldoXo8E2x7VyhT5GCpWBpXMvVDkUK5UKkWHpC1XWoLZC+9G223e0tf8seOWK4Prc99V1nbT2t/ssW+T+OdJzRKjmLkSApSVn7CK9Lp2KlwCkOroRQqQ32OhWcpXOj6nq4B7NQQn5uib1U+/6pcT9C7cvvWVJlZkl0jnQfS+QqgZ77C+PgBD1rfA6q+4GLYeLdtx+++24/fbbbX+nlMK0adMwZswYdOvWDQAwd+5cVKpUCW+99RYeeugho32pXLkyjh07hpSUFKSkpGDjxo245pprsGvXLijl3+fF7du3o3nz5oW2x8fH4+TJk8XqF2f4ERERERERERGROecG/Pz9MbiG365du3Do0CG0a9fOu83tdqNFixZYv369seOc07p1ayxduhQAcP/99+Oxxx5D27Ztcc8996Br165+tVGlShX88ssvhbavW7cONWvWLFa/OMOPiIiIiIiIiIjMsfSjurm5ucjMzPTZ5na74Xa7tdo5dOgQAKBSpUo+2ytVqoQ9e/ZoteWPV199FZ7/xgkffvhhJCYmYt26dejUqRMefvhhv9p46KGH8Oijj2L27NmwLAsHDhzAhg0bMGLECIwdO7ZY/eKAH2mTKolJcYRgcvMP9tV4V9ToYLv9o6TbbLefOW0/9z1fiAVJ7v19he32ReXba7XT7VhgKkJTyfNjyy622z0e+9hXTo7wWsnTy49I8ag84TUXYbN/gUfv9akb7dLl0eyPKdK5DBTdKpd2j61JOskTlxSbNMRUCsZUFV1xf80orhxZEyJuYtVdofKjVF1XrNStF62zqwIOAFZ+4Xak6uAezdixWJFYfGztL2BiTFGo3imdM8m3qX+y3X7NhiVa7ZiiVeUW8tIvkjyxfTPXd7vniUs3fim+lwXXkgS67wVybNr/zwVn29E8rmZkWLyeCo+LGJc1EA32aPZRvIZrRoOl64i0lIhLqDhNIcjlAiI1hpws4K233kL79r7fhceNG4fx48cXqwvWebMGlVKFtpngcrng+sOFoHv37ujevbtWG6NGjUJGRgZatWqF7OxsNG/eHG63GyNGjMCQIUOK169i3YqIiIiIiIiIiMjOuRl+GkU7evbsiYyMDJ+f0aNHax+6cuXKAP430++cw4cPF5r1Z8q///1v9OrVC6mpqdi/fz8AYN68eVi3bp3fbUyaNAlHjx7FV199hY0bN+LIkSP4+9//Xuw+ccCPiIiIiIiIiIjMcWmu4QcL0dHRiI+P9/nRjfMCQI0aNVC5cmWsWPG/RF1ubi7Wrl3rraZr0nvvvYf27dsjNjYWW7ZsQU5ODgAgKysLkydP1morLi4OTZo0wQ033IDSpUtfVL8Y6SVj7GKun6bYV81pv+djp7ujpe2uZY62vzC+ne32d8vab5dIMQIpAsyoLxXXxmv0KhvmCtFdKe4kPZfFwpKaVQmluJydAoer4ur0pTj0KzbaM5VONdUfsX3d+JVmBFgnVmYqHu10rDlQkTWp0LIU49KtIC3F01zCp1ul9KJyUrROjhjbROiE6uC6MWiJblzbFN1+Su8pN3671EBvZDlCFV1TpMiwqSUb7OK4UmRVeq55NKrZXwrie4RQmVWsii1tF64X+UKEWbeicoQUQzX0+cXJ66x25XTpda65zIIUH9e9jlSYw+81IcfhKr2///67T5GLXbt2YevWrUhMTES1atUwbNgwTJ48GbVr10bt2rUxefJkxMXFoWfPnsb7MnHiRMyaNQt9+vTBggULvNubNWuGJ598UrzduQrC/li0aJF2v4o14Hfy5El89dVXOHz4sHdhwnP69OlTnCaJiIiIiIiIiChMaK2Xp/n3ic2bN6NVq1befw8fPhwA0LdvX6SlpWHUqFE4c+YMBg0ahBMnTqBp06ZYvnw5ypQpo3cgP2zfvh3NmzcvtD0+Ph4nT54Ub5eQkOD9b6UUFi9ejISEBDRp0gQA8PXXX+PkyZNaA4N/pD3gt3TpUtx33304deoUypQp4/MAWpbFAT8iIiIiIiIiopLMcjk6w69ly5ZQSp5RbVkWxo8fX+yCHzqqVKmCX375BdWrV/fZvm7dOtSsWVO83Zw5c7z//ec//xndu3fHrFmzEBFxdppxQUEBBg0ahPj4+GL1S3vA7/HHH8eAAQO80yGJzmmzs3As9v3L9KrNhitT1zndanNSlLh75nIT3QmI+bFtjbRz3xn7CsnBZvWVHR1tX4qbSpUKpZiS7nNTN0LjZMXcQFXLNcXJyGqx2jcUMdSNQcmRZL1YuV2sTL6Gm3neI0/YX3ispGia7nGdjqyFSgRYu0KlRkxXbtvZ644Squ7K+9tvLxDuq7R/sNF9b9Jl6j1RZ2kJ6fUpvU/qVh528Lv52fY1+yMv9aHXvljVW/gcJLUjLiWgeT2VOHmdla6xYl+E9xrx9a97LRXi6ZfN/eQCPaOQoR3pDa4lCHQ89NBDePTRRzF79mxYloUDBw5gw4YNGDFiBMaOHetXG7Nnz8a6deu8g30AEBERgeHDh6NZs2Z49tlntfulPeC3f/9+DB06lIN9RERERERERERUmAve6rvhbtSoUcjIyECrVq2QnZ2N5s2bw+12Y8SIERgyZIhfbeTn5+PHH39EnTp1fLb/+OOPhZbS85f2gF/79u2xefPmIqclEp2TKyyWLM3SCpVZVxJpRqP0VzndvwCbmom0oLT9+b/39+A6/zqz+XTPzTz3rbbbe+es1GrHaboLguvOhJPakYptFPO9phDdWWCmjhsIjs+W0C344PBsD1MzCHVf09KsC/G4wnmwm02i+7qSrvnSfZLOsf7MnOCawRIqMwKlGQXSdUp6OlgaX2p0Z/gZm7GXL8zYEwqaSO3k5QjbhfeO/PzAzKR2eobf7fvsi9B9UPk2rXb0ijvZP1YF0ucC8bqjN/NXl+61XbwOCi84nWs4UMSMQM3rgtPXU3mGk/QcER5H2+3CjD3hkB6xbaEIh3BR1v3Md/x+++9Tia+zaEfI0Z3hF+Jjg5MmTcKYMWOwbds2eDwe1KtXT6vKbv/+/TFgwAD88ssvuPHGGwEAGzduxFNPPYX+/fsXq0/aA34dO3bEyJEjsW3bNjRs2BBRUVE+v+/cuXOxOpKTk+MtXQwAmZmZxWqHiIiIiIiIiIgCyLJKzAy/c+Li4tCkSRPs2bMH6enpqFu3Llx+DnpOnToVlStXxvPPP4+DBw8COLs24KhRo/D4448Xqz/aA34DBw4EANvSwpZloaCgeAstTZkyBRMmTCjWbYmIiIiIiIiIKEi4XECkzpBT6A0Ozp07FydOnMCwYcO82x588EG8/vrrAIA6derg008/RXJy8gXbcrlcGDVqFEaNGuWdAFfcYh3naA/4FTc7fCGjR4/2llEGzs7w8+ekUHCTikPMjbSPU85xtbHd3t/zmbE+mfBuWftiGGKMSyyMoLmos4OFCwJJej6YipWEstwc+2uutMC3GAE2VJxDIsXBpcIxwcTpyK0YR9IsSiHTjazpHjfY2nf2uHaPl/5j5fQ5c/q4etExMeJmKAIskaPBeudTitcWBNEXDynSK17DNa/58jIOestHSO9ZUvsfJdlHX6X9uxzRi/RJkVtTAlGcTn69SVFfqSW917ku3euC9NyUX8+6/dd7LpuKAJvqp4n97WO+gJLuk/T6F5YGKJCWX8gVD2DfnxBexoXOozvDL3jedv02a9YsPPjgg95/f/LJJ5gzZw7eeOMNXHXVVRgyZAgmTJiA1157Tavdix3oO8fhrzn+c7vdiI+P9/khIiIiIiIiIqIQc24NP39/QtCOHTvQpEkT77+XLFmCzp0747777sN1112HyZMn47PP5MlL1113HU6cOOH38W6++Wbs37/f7/21Z/jZRXn/yN+Sw0REREREREREFIZ0i3aE4BS/M2fO+ExWW79+PQYMGOD9d82aNXHo0CHx9lu3bsW3336LxMREv463detWn9oXF6I94Ld48WKff+fl5WHXrl2IjIzEFVdcwQE/8ouparOmSNVgI8Tp/HqVx0xFd02dNym+IEVr++abqVwrRbblypJGDqtF6qPE6bh5xwOf2G6XYuVSJUTdOLjuc02nojIgv7acJL9uTbWvt79uLMsUU3EwqRKibkVI/Qq4ho6r9biXsFizqcitZtVKsR3peiFc7yIcXiBcqoaqQ7+iuv3JlNqRP49I/TFTsV06rrTcRE6O3v7Se42pz0e9c/Q+7+hGjCVSNFjn/UC6Juty+jO609Fd8bmvWTU8UFFc3c8A8nuZXfvCOcu13x6hPVIg9ES87thf3KVqvxSCLIR9pDclJQVff/01UlJScPToUfzwww+4+eabvb8/dOgQEhISimyjTZs2UMq/571l6Z0k7Zfxli1bCm3LzMxEv3790LVrV93miIiIiIiIiIgonLh0Z/iFnj59+mDw4MH44YcfsGrVKtStWxeNGzf2/n79+vVo0KCBePtdu3ZpH7Nq1ap+72tk3D4+Ph5PPvkk7rjjDvTu3dtEk0REREREREREFJJcgBXeA35//vOfcfr0aSxatAiVK1fGO++84/P7L774Aj169BBvn5KS4mj/DE3UBU6ePImMjAxTzVGY041BSlFTXXLFLd3p82ammgcquivuH6CotYnj6sasQ51udFf3POjHqfXilLoRYxMRYN1zoH9dkNrRakY7cqsbSZb6Y67yoyS4YqtOHlOOFwv7a8eapcdEiriaOq7m/trVQYV2tCO6TkcS9WKutvsKrzeJ9HozVYFdNxqs2x+xgryhqsG6dJc20f38eN8Z+8r1gaD/+jFD+3OHuL+Z6uBSO9L+5qob6723iq8VMZJsv922/8JnR0lUgX0fI6PsOyM9Jlae1mEpnFiW5oBf6GV6XS4X/v73v+Pvf/+77e/PHwC81LQH/GbMmOHzb6UUDh48iHnz5uG2224z1jEiIiIiIiIiIgpB2kU7yDTtAb/nn3/e598ulwuXXXYZ+vbti9GjRxvrGBERERERERERhSLNGX6hN8Ev6GkP+BVnUUGiYCHFGqKinI306sYXdTldzVaqXOt0hVodgYruBqqqr6nnlKlIn9ORoWCKAJuK+kp0I7diO4YiwIGL4kp0Y2L223UeR/1zr9cXsR1DSxXoVsUVCVEzU5Wl5SqjhpbRMFSRWzdGa7+vmWUWtD+PmIoGG4oSO720iUQ7nq75+XFhfDvb7d0zl9tu16u0KtGLlHY88Int9o+r3m67Xfec6VbRlZir/C7Fze33liclmanSmytUqJaP69zyNxJPlP32PM1osC6nv9fQJWS5AJfOkBNH/Ezj/EoiIiIiIiIiIjLnXJVef39CTGZmpvE2T548iddeew2jR4/G8ePHAQDffPMN9u/fX6z2/B5u7dat24Ubi4xE5cqV0bZtW3Tq1KlYHSIiIiIiIiIiolCmW7QjtJQrVw4HDx5ExYoV0bp1ayxatAhly5Ytdnv/+c9/cOuttyIhIQG7d+/GwIEDkZiYiMWLF2PPnj144403tNv0e8AvISHhgvt4PB78/PPPeO211zBixAg8+eST2h0istM3f6Wj7b9b1j56oRu/0o0dOl851cxxdSMAYpU7zXiakzHRYIsAS1Hf+bFttdrXfmyl6GGIxyl0Xou68V9Tzx359WCkee1KsWI7wrnUjXHqX3f0+qNLP57mvwhDj6HTf+w2dg4Mxbv04/LBHyszFbkV2zcQLzbajmZ0V2Iqzq7bvvR+YOrziBT11Y+P2rE/N50PfarRBnD7vo+19jfloyS94o/6zwUzUVyx0rX0GDq8FIIevUru+flm+ihdX3SXGPg0xT5u3n5PYJ6z5Icwr9JbunRpHDt2DBUrVsSaNWuQl3dxJamHDx+Ofv364ZlnnkGZMmW822+//Xb07NmzWG36PeA3Z84cvxv96KOP8Mgjj3DAj4iIiIiIiIioxHGFddGOW2+9Fa1atcJVV10FAOjatSuio6Nt9121atUF29u0aRNeeeWVQtsvv/xyHDp0qFh91C7akZaWhnvuuQexsbHiPjfddBOaNGlSrA4REREREREREVEI057hF1refPNNzJ07Fzt37sTatWtRv359xMXFFbu9mJgY23UBt2/fjssuu6xYbVpKKa350FWqVMGpU6dw99134/7770ezZs2KdeALyczMREJCAjIyMhAfH+/IMajkkaK7EqerzTkdm3Q6uqsbBwvlmKjT0bFIzUrRwUb3uXPfmRW223UjzOHIRIVhk0xF2QK1FnMgYlOm7mtgIl9FVcstWUxU9dWt8Cy243CFYVPHDdRyGaY4XXFePq6w3eYaIO3b5YhedDdU6EZ9TXH6M3FJoltlXDfqmy/Epu86aV8V20kcw/if7t27o+k1URg+2D6Kbaf2dY/jtdlvo2XLls51zCGtWrXC4sWLL2oNvwcffBBHjhzBwoULkZiYiP/85z+IiIhAly5d0Lx5c0ybNk27Te2PdPv27cObb76JEydOoFWrVqhbty6efvrpYk8xJCIiIiIiIiKi8GHBgmVF+P0TcpneP1i9erV3sE8pBc15dQCAqVOn4siRI6hYsSLOnDmDFi1aoFatWihTpgwmTZpUrH5pD/hFRESgc+fOWLRoEfbu3YsHH3wQ8+fPR7Vq1dC5c2csWbIEHlN/hiQiIiIiIiIiotBiufR+Qtwbb7yBhg0bIjY2FrGxsbj66qsxb948v28fHx+PdevW4b333sNTTz2FIUOGYNmyZVi7di1KlSpVrD5pr+H3RxUrVsRNN92E7du3Y8eOHfjuu+/Qr18/lC1bFnPmzDEyFXPR5V0QZ/l2U7vimTCNWIqUUckT6tFdibEonmZMQT7upY/6BOrcS1V3pQrGciVUUz3S0zvHvjL2PLd9/3U5XX04lJn6m5mp13+BEKHRr25soDMITCXXUK9srMtU/0OFqdit1jFD5G/jus8p/denXvu6ArWUgHS/dKK70v7h+jqUdDzwiZF2PqisFw0uEK6/0pIHgXpNm1h6QJeppQGcXmJgQWn7z5r3/s4xgEsmzNfw+6PnnnsOf/vb3zBkyBDcdNNNUErhiy++wMMPP4yjR4/iscceK/L2+fn5iImJwdatW9G6dWu0bt3aSL+KNeD322+/Yd68eZgzZw5+/fVXdOnSBR9++CFuvfVWnDlzBn/961/Rt29f7Nmzx0gniYiIiIiIiIgoRFguIEJjyMkK3T9ovPDCC3j55ZfRp08f77Y//elPqF+/PsaPH3/BAb/IyEikpKSgQJpZVEzaA36dOnXCp59+iiuvvBIDBw5Enz59kJiY6P19bGwsHn/8cTz//PNGOujxKHisi/vLqzQLQRr1l/CvAaFDKs4RrjP5nKY7+ywQs7GcPvfSjL05rjaOHtfU/ZIeK1Mz+aTHPFALoJsQKq9np1+H0mNo6vOI/kxBZ++X/TGlNvSOKc1mKGkzdoJNQAq7GJq9rTtDxulrsvYsVodnV4bKa4uFcpzX+ZD9TMH3L2uv2VJgnlMmXiuBKv4jtuP4DF/7x2phvG4RR//v72mVr9V22CtBM/wOHjxoW9C2WbNmOHjwoF9t/PWvf8Xo0aPx5ptv+oyxXQztAb+KFSti7dq1SE1NFfepUqUKdu3adVEdIyIiIiIiIiKiUFRyBvxq1aqFhQsX4i9/+YvP9rfffhu1a9f2q40ZM2bgl19+QVJSElJSUgqt2/fNN99o90t7wO/111+/4D6WZSElJUW7M0REREREREREFOK0Z/iFxqxsOxMmTMA999yDzz//HDfddBMsy8K6devw2WefYeHChX610aVLF+P9KtYafqdOncLatWuRnp6O3Nxcn98NHTrUSMfOcbksuPzMcptamDdUpv8TsKi87jR8e4zuFk8gCk0E6txLxTZ0o76m4lR98+2juFI/peiuJFBR33CMgzst2Aq+SHSju8EkUJ8vgu1zjdOxw2BbAiDYXkP2HI7oBtljYopu8QxTpCikzpIz7fd8bLJLJV6XI5/abpe/Y5ScImISnSIzgaQbGRaX3dC4Dkaq8LxmFptl6T0xinH6Zs6ciWeffRYHDx5E/fr1MW3aNNxyyy36DV2kO++8E19++SWef/55vP/++1BKoV69evjqq6/QqFEjv9oYN26c8X5pD/ht2bIFHTp0wOnTp3Hq1CkkJibi6NGjiIuLQ8WKFY0P+BERERERERERUShxNtL79ttvY9iwYZg5cyZuuukmvPLKK7j99tuxbds2VKtWzbHjSho3bow333zzkh+3KNpn/7HHHkOnTp1w/PhxxMbGYuPGjdizZw8aN26MqVOnOtFHIiIiIiIiIiIKFecivf7+aE7xe+6553D//ffjgQcewFVXXYVp06YhOTkZL7/8sjP3x2EulwsRERHiT3Foz/DbunUrXnnlFe9Bc3JyULNmTTzzzDPo27cvunXrVqyOSGJiXYi5yPnBUgQlXGMK4chUdFciv36k5wijvkXRPQ+hEZuypxv1lfY3dVwp6qtLN7prSiCivmKV2xB/PZuK+oZjBeZwFWzRXVPPEaffI4z108B5C9SyMoGqEivdX6crWkuPVWSUbuxeiDZqvq/k59nf3/x8xkeDjamq7YGg20fd15vudSTYPkdIn3cKNKLB+Z4QeCJcSt6BPPNyc3Px9ddf44knnvDZ3q5dO6xfv96RYzpt8eLFPv/Oy8vDli1bMHfuXEyYMKFYbWoP+EVFRcH675p6lSpVQnp6Oq666iokJCQgPT29WJ0AgJycHOTk5Hj/nZmZWey2iIiIiIiIiIgoUPQjvbm5uYXGgtxuN9xut8+2o0ePoqCgAJUqVfLZXqlSJRw6dKh43Q2wP/3pT4W23XXXXahfvz7efvtt3H///dptag+3NmrUCJs3bwYAtGrVCmPHjsX8+fMxbNgwNGzYULsD50yZMgUJCQnen+Tk5GK3RUREREREREREAWJp/gB46623fMaFEhISMGXKFPkQ5xV4VUoV2hbqmjZtipUri5fi0p7hN3nyZGRlZQEA/v73v6Nv37545JFHUKtWLcyZM6dYnQCA0aNHY/jw4d5/Z2ZmIjk5GVGRFqL8nO4rTZ8Xp9sHqEIXyZyO7uoyFfWVBFtkMBSitaEev9StrhvqzEXlnLsu33dmhe127YrEIfIcNBW5149ZB9t7q//9lyNcuvfJ2fcIl2ZFQulzkP5zxP48FGg+R6Q4mG6lRd3HRY6P6h1X5zkun3szEU7dz7JSZM1YvFu3QrXD0V3d54hudDcq0n7/yFhp2Qr7dqSoLzmv2zH76r0S6TtMSER9DUV3tV9XmtdYpyPA0utQGjCxe6+M8gTbZ53AUsoDj9L7UNGzZ0/MmDHDZ9v5s/sAoEKFCoiIiCg0m+/w4cOFZv0FQmZmJlatWoU6dergqquuKnY7Z86cwQsvvICqVasW6/baA35NmjTx/vdll12GZcuWFevA57ObpklERERERERERKFF/fd/OqKjoxEfH+/Xfo0bN8aKFSvQtWtX7/YVK1bYRmOd1r17dzRv3hxDhgzBmTNn0KRJE+zevRtKKSxYsAB33nnnBdsoV66cz+xEpRSysrIQFxdX7Oq/2gN+REREREREREREEgUFpXSm6esNDg4fPhy9e/dGkyZNkJqaildffRXp6el4+OGH9TpqwOeff44xY8YAOFt8QymFkydPYu7cuZg4caJfA37PP/+8z4Cfy+XCZZddhqZNm6JcuXLF6pffA36tW7f2a79Vq1YVqyMSK+Lip0LrVhiUpimvq3+H7fabf/iwWP0qyYItumsqlhUhxZqkaplifMlQpCfIql/p0jkPgYojS9E3KQ7aO8c+0msq6ut0dV1TzyndyvKBeC5Lj5Uu6TEJ1wiwLLiiaSZiugWa8Uvd570u3Uiv2I7u5y4hdqgbE8s31R/huaYdW9M+n4WP63TETWwnxOPdEt2IsXa1cuFJ6HLZ91+q6hshRYAj7duJjrJ/wK74eKl9hyjo6EaAdb1/mf13J50lD8wtJWBmaSPdpT7MLb9ght1xw2zpOCN0Z/jpuOeee3Ds2DE8+eSTOHjwIBo0aIBly5YhJSXFsWNKMjIykJiYCAD45JNPcOeddyIuLg4dO3bEyJEj/WqjdevWSE5Otl2DMD09HdWqVdPul98DfmvWrEFKSgo6duyIqKgo7QMREREREREREVH4U0pvhl9xhgYHDRqEQYMGFeOWZiUnJ2PDhg1ITEzEJ598ggULFgAATpw4gZiYGL/aqFGjBg4ePIiKFSv6bD927Bhq1KiBAmkWURH8HvB76qmnkJaWhnfeeQf33XcfBgwYgAYNGmgfkIiIiIiIiIiIwpn+Gn6hatiwYbjvvvtQunRppKSkoGXLlgDORn0bNmzoVxtK2Z+r33//3e9Bw/P5PeA3atQojBo1Chs2bMDs2bNx0003oU6dOhgwYAB69uzp18KKppiKF+VrPvk4rzF0yLGdwERldaO7UjTYlEBFfXWjyjrnoRh/8NAiLg2gGSPQjdxKUd/5sW31DmyIqUiiqdeQCe+WbWe7/a6Ty420L0WDpcdQ93VS8qLBZpirPuw/c9V+7UkRY93Xral+ykuqaPZHjGUGpkqy3nEDVc06VI6rx9RzQYoYi5WidaPNQgTYLVTwlKK++7t3KLTt8oVmCiZSaOlyxD4yrLNMknxt1+uLHAF29posc/h7U4Aiw+Hg7HCfc2v4BZNBgwbhhhtuwN69e9G2bVu4/vvCqlmzJiZOnFjkbYcPHw4AsCwLY8eORVxcnPd3BQUF+PLLL3HttdcWq1/aRTtSU1ORmpqK6dOn45133sFLL72EESNG4MCBA5d00I+IiIiIiIiIiIKQZqQ31DVp0gRNmjTx2daxY8cL3m7Lli0Azs7wqMhjLwABAABJREFU++677xAdHe39XXR0NK655hqMGDGiWH0qdpXeb775BmvXrsWPP/6IBg0acF0/IiIiIiIiIiL67wy/0J21p6OgoABpaWn47LPPcPjwYXjOm1JbVHHb1atXAwD69++P6dOnG51IpzXgd+DAAaSlpSEtLQ2ZmZno1asXvvzyS9SrV89Yh87nchWOkDgZ7aLgZOoxdzrKKk6Vl6JjQRZxk+jHpiT27ehXBytMO45gKF5sKkosRe4WlLaPfUr7h3plZl3mnpuFSRXxpFjNR0m32W4vEK4L951ZYbtdeswlBQ5X+ybn6T5Wuq9z3euUdH0x95wytCyGocqSofy5MlyjZk5e2wH9ar+m+lOQb9+OEqK+RBcSiOuXdsVz3debVOU6QMvKaLXtWMuhquTM8Hv00UeRlpaGjh07okGDBraVdi9kzpw5xvvl94Bfhw4dsHr1arRr1w7PPvssOnbsiMjIYk8QJCIiIiIiIiKiMHR2BT///+oYyrMBFyxYgIULF6JDh8Jrr+rYtGkT3nnnHaSnpyM3N9fnd4sWLdJuz+9B6E8++QSJiYlIT0/HhAkTcMMNN+C6664r9ENERERERERERCWXUkrrJ4TH+xAdHY1atWpdVBsLFizATTfdhG3btmHx4sXIy8vDtm3bsGrVKiQkJBSrTb+n6I0bN65YB7hYsbEuxPo5D9hELLAo0vTl9Q3vsN3e7LsPnexOSOt2zD4SJ0XoJE5PKZeieDIzsSxTVbQCRfdx8Ri4X9I5E/cX/tik245uBWa5HTPxgmB7juieTyfpnhvpeSxFdyXSdeeDyvbtRLvtbyC9x8nPQfvtTle0NoWR5MCRniOmqnTrcvo9MRDvudqVyjXPvdOV0J3+/GXquGI7DkcMdR8vKerrsdn+W6/bbfet9ObHegelkCJ9ZnAy/u50FNfUdcrxiLFG+x5pnZUSSr9Kb+h6/PHHMX36dLz44ovFivMCwOTJk/H8889j8ODBKFOmDKZPn44aNWrgoYceQpUqVYrVptaAn1IK6enpuOyyy3xKBRMREREREREREZ1Vcop2rFu3DqtXr8bHH3+M+vXrFypq608cd+fOnd6qvm63G6dOnYJlWXjsscfQunVrTJgwQbtfWovwKaVQu3Zt/PDDD6hdu7b2wYrDHetCjKk/C55Ht5CCNNsgVAovhCNxxouhv3bpP/UM/eU5yBbhdugl+If2nfvrpDRLU3dWoTQDRJ51xQW4LwXp/N91crnfbUh/Ndel/5gLH4CihJkemjP5pPcmpwvcmCIVypGEyszFYBKoGXvBxtRMPhPvlbozYUzNzDM148XUzDn5uMHVvvT5RZyJJGyX1rRXqnD7lmV/TT75UDvb7WVf8f/9kAJPShE4+Vk82GbmSfdV97oTiOtLPmf4+VDaRTtCd3CwbNmy6Nq160W1kZiYiKysLADA5Zdfju+//x4NGzbEyZMncfr06WK1qTXg53K5ULt2bRw7duySDfgREREREREREVFoKSkz/ExU2L3llluwYsUKNGzYEN27d8ejjz6KVatWYcWKFWjTpk2x2tQus/vMM89g5MiRePnll9GgQYNiHZSIiIiIiIiIiMLT2WIcJWMNPxNefPFFZGdnAwBGjx6NqKgorFu3Dt26dcPf/va3YrWpPeDXq1cvnD59Gtdccw2io6MRGxvr8/vjx48XqyOS2FgXYiN9p8bqxgUsl/2osmUorlln5RLdhsgQMcomRNA6C8VCPq5qvwCyfFz79p2OvkoCFR8NtuixHeki5ymQCqbo/RWqwKNZoESzuJCpohemiho5XYSje6Z99OjdsvZRJZ3orsTU6/b2ffYLpq+o0cF2u1goQFpWQuinbmxd/zEUXisOF8oyVUDHSaFeWCTYlh4w9Rgai5saiL+aiso5HYmT6EbltO+XwxFaianzoPsdw7LsL2wRkf5fS+xivoAcC6aSye41F2zXnVC/vtjdr4J8Rnp96a3hF9qfqoB3330XCxcuRHp6OnJzc31+98033xR52/z8fCxduhTt258tYupyuTBq1CiMGjXqovqkPeA3bdq0izogERERERERERGFr5JUpXfGjBkYM2YM+vbtiyVLlqB///7YuXMnNm3ahMGDB1/w9pGRkXjkkUfw448/Gu2X9oBf3759jXaAiIiIiIiIiIjCiYJSoT5vzz8zZ87Eq6++ih49emDu3LkYNWoUatasibFjx/qdgm3atCm2bNmClJQUY/3SHvADgIKCAixevBg//vgjLMvCVVddhT/96U+IjCxWc0WKcnsQFenfqLA0fV6aJu8StkdGSdPzS8aT9VKQKlBJU76l6Fg3IaKrS7sqk6EqwIHidIzL6WiNk0xFbuWq3qaixMJxNasG61cfvmDX/KIbxTUR3ZV0PPCJ7XbdqL9EN7KiG8V1OrYucTrOHkzkeLGz165QPmfFYeq9IGCVaxmhE/c3EZUran+JHLkVtgsVcHWXAXLpRn01+iNFd/Nz7Rs/fn97+xsIEl8389maisfUZ3S712KwXXcio6T9g+v6onMdieR4gQ+PUvAoYa0aW6F7/tLT09GsWTMAQGxsrLfabu/evXHjjTfixRdfvGAbgwYNwuOPP459+/ahcePGKFWqlM/vr776au1+aY/Qff/99/jTn/6EQ4cOoU6dOgCAHTt24LLLLsMHH3yAhg0baneCiIiIiIiIiIjCRcmJ9FauXBnHjh1DSkoKUlJSsHHjRlxzzTXYtWuX37Mc77nnHgDA0KFDvdssy4JSCpZloaBAZ/D0LO0BvwceeAD169fH5s2bUa5cOQDAiRMn0K9fPzz44IPYsGGDdieIiIiIiIiIiCg8KAA6wZLQnd8HtG7dGkuXLsV1112H+++/H4899hjeffddbN68Gd26dfOrjV27dhnvl/aA37fffusz2AcA5cqVw6RJk3D99dcb7RxwNnZ7fiRXdzp8hHAvI6LsR5ujY+23R0aXjNFpkz5NsY/EydPVpeq3Zqa3S9Uygy3iauy4DkdlteNOhqri6bWhGTvUjDvqRmJ1o7imIsN5+UJEV4hHSLFSidRPU7H7QJCq7upqs3OZ7fbP63bUakeK0IqxT/EdXi/erUt+DelGgC++L05zukqvbmyazjJVeVv3/cNEhC7UBS5aJ+yvGdE1FsUV2xfa0einR7guWMI1U4oAS0sbHe1vHwGuMCd0389DiRRz1X2/sV1iINiWDHA4uiudSyevI64Ssl6dvzwKKBAqi4ebV199FZ7/fph++OGHkZiYiHXr1qFTp054+OGH/WrD5Np952h/3KhTpw5+++23QtsPHz6MWrVqGekUERERERERERGFpnMz/Pz9CeUpfi6Xy6emRffu3TFjxgwMHToU0dHRfrczb9483HTTTUhKSsKePXsAANOmTcOSJUuK1y/dG0yePBlDhw7Fu+++i3379mHfvn149913MWzYMDz99NPIzMz0/hARERERERERUcmilAWPxk8Ij/cBAP7973+jV69eSE1Nxf79+wGcHcBbt26dX7d/+eWXMXz4cHTo0AEnT570rtlXtmxZTJs2rVh90o703nHHHQDOjlha1tnpmecWIezUqZP337qLCubk5CAnJ8f773MDhpZVeLqsNAVdnqYsRX31tktR3zNj7GOisZPsY1zhavWVheNpkZFmqlCaEqjqscbiRQGqYCi341wlMd1j6lZa1o2JF+hGfYXLnxTJyM/Ti/TmCftL7YjRXamfwnNEqmhL+pr/9JHt9o3XdLLdLsa4AxT7lCvIOtsfKRbvpEDdV6ffE3U5HWEOFGPvZRrvraYidLp9cboar65ARXelz/qBiOjqHleKHUvRXUt4rJTw3iGdGzJLWtZDjPQaWOYi2Kp9S0wtDRCIJQCkY5ZUZyO9ge7FpfHee++hd+/euO+++7Blyxbv2FZWVhYmT56MZcsuPDb0wgsv4J///Ce6dOmCp556yru9SZMmGDFiRLH6pT3gt3r1avF333zzDa677rpidWTKlCmYMGFCsW5LRERERERERETB4Wykt2Ss4Tdx4kTMmjULffr0wYIFC7zbmzVrhieffNKvNnbt2oVGjRoV2u52u3Hq1Kli9Ut7wK9FixY+/87IyMD8+fPx2muv4dtvvy1WqWAAGD16NIYPH+79d2ZmJpKTk4vVFhERERERERERBYY6tzafv/s71xXHbd++Hc2bNy+0PT4+HidPnvSrjRo1amDr1q2Find8/PHHqFevXrH6pT3gd86qVaswe/ZsLFq0CCkpKbjzzjvx+uuvF7c5uN1uuN3uQttdkapQhFc3uqs7nVckxSmiwrTUmia76eD6sUln/wIQJUyTlzhdVTYQkdjiHNdUdMdEtWVTlf706Vb7FbZL1XgLX/4AyNHdSCFyk+uyP7D02mq1wz5WSoEjxXnk6roXX7mvOIIt3hlMVX2D7twEKBosR6FLjkB9jtCN6IrtG6qWaWpJElNVd8X2NaO7pr576FQHNhUXlmPN9u2QWdJ7vfAxTlxqRaLzmtON6MrH1GtH3l9q38xnfSerd1slYzKb3zywSkyV3ipVquCXX35B9erVfbavW7cONWvW9KuNkSNHYvDgwcjOzoZSCl999RX+9a9/YcqUKXjttdeK1S+tAb99+/YhLS0Ns2fPxqlTp9C9e3fk5eXhvffeK/aIIxERERERERERhQ+PAvK1BvxCd3DwoYcewqOPPorZs2fDsiwcOHAAGzZswIgRIzB27Fi/2ujfvz/y8/MxatQonD59Gj179sTll1+O6dOn49577y1Wv/we8OvQoQPWrVuHO+64Ay+88AJuu+02REREYNasWcU6MBERERERERERhZ+za/hp7B/CwYBRo0YhIyMDrVq1QnZ2Npo3bw63240RI0ZgyJAhfrczcOBADBw4EEePHoXH40HFihUvql9+D/gtX74cQ4cOxSOPPILatWtf1EF1uFyFp+nK03DNVOKh4ol2O5cB0I1HSVUudfvodFTW1HF1ozXycQNTBVinopUcNRFe/5rT9k2RquVJPAX25156zubmmKnGS8GnyeYPtPb/NvVPWvubityFelwz2Crg6tCtGu40p68vwRaRdpLTS244/XkhUFV3dSJ3RfVHYuq7h9RPORrs/zHFa7sQ3Y3QjCPTWdtvtX/Pzc+1f03k5Ni/2WhX4428+Aq4ofI9xfHri4PXEb5+fHlUyYn0AsCkSZMwZswYbNu2DR6PB/Xq1UPp0qW12zl8+DC2b98Oy7JgWRYuu+yyYvfJ77f3f//738jKykKTJk3QtGlTvPjiizhy5EixD0xEREREREREROHn3Aw/f3+cNGnSJDRr1gxxcXEoW7as7T7p6eno1KkTSpUqhQoVKmDo0KHIzc3VOk5cXByaNGmCG264QXuwLzMzE71790ZSUhJatGiB5s2bIykpCb169UJGRoZWW+f4PcMvNTUVqampmD59OhYsWIDZs2dj+PDh8Hg8WLFiBZKTk1GmTJlidYKIiIiIiIiIiMKDUhY8GjP8nBzzy83Nxd13343U1FTbYrMFBQXo2LEjLrvsMqxbtw7Hjh1D3759oZTCCy+8ILY7YMAAv44/e/bsC+7zwAMPYOvWrfjoo4+QmpoKy7Kwfv16PProoxg4cCAWLlzo17H+SLtKb1xcHAYMGIABAwZg+/bteP311/HUU0/hiSeeQNu2bfHBB3pRpAuxLFVoGr2p6bm6lFAtE3khnAsqhs1NOttut5uabqq6q7SA5zdN7fsSHWO/v26VWFMVXp2OympHUwzFYvXbt6fzGtVt29TUet3j6kZ6lVBFtyDffrslxiPsO5qXz4hBuBIr/WlHX/gccZrudUEWmHiMdJ0KFKdj2YGIrQdqaQ2JqetFoKrr6kdu9dqX6EcDpe2F25Gq60qxYLEar/DeYZl68oS4n9vbf8fQvf5GCVHcQHwnMXV9Eds39Bk9UNcX/UrXNtv4UcqHRwHBsgLMhAkTAABpaWm2v1++fDm2bduGvXv3IikpCQDwj3/8A/369cOkSZMQHx9ve7u0tDSkpKSgUaNGUBe5COFHH32ETz/9FDfffLN3W/v27fHPf/4Tt912W7Ha1B7w+6M6dergmWeewZQpU7B06VK/Ri2JiIiIiIiIiCh8nY306g005+bmIjMz02eb2+2G2+022LPCNmzYgAYNGngH+4Czg205OTn4+uuv0apVK9vbPfzww1iwYAF+/fVXDBgwAL169UJiYmKx+lC+fHkkJCQU2p6QkIBy5coVq82LGvA7JyIiAl26dEGXLl1MNOfDFakKLTbr5EK4RZH+sq2EGX5nxt9huz12/Id6Bw4yUZqzSWz3DZkZb3rkmXCBmSEXKrPhdJ47Ts82lNsxNFNYnCFj375UzENaHFp6bUUJ7VDoE2dvBGgxfEmgZhAG26y0UGBuJqKzPAF6bJ09P4F5H5aYmmkn72+mfe2ZRZrXQVNFAXSLf9hd33Vn8rmkgnVR9jGcuKc+tt+/hJGe+9LrPzLafru0v/ZrxUixSV5fitOO+H3T5jFhUVBfSnNtPgXgrbfeQvv27X22jxs3DuPHjzfat/MdOnQIlSpV8tlWrlw5REdH49ChQ+LtZs6cieeffx6LFi3C7NmzMXr0aHTs2BH3338/2rVrB8vy/7PKX//6VwwfPhxvvPEGqlSp4u3XyJEj8be//a1Y98vIgB8RERERERERERFwdgBPK9KrgJ49e2LGjBk+m6XZfePHj/dGdSWbNm1CkyZN/Dq83eCcUuqCg3Zutxs9evRAjx49sGfPHqSlpWHQoEHIy8vDtm3b/C7e8fLLL+OXX35BSkoKqlWrBuBsIRG3240jR47glVde8e77zTff+NUmB/yIiIiIiIiIiMgYj2bRDgCIjo4W18s735AhQ3DvvfcWuU/16tX9aqty5cr48ssvfbadOHECeXl5hWb+FcWyLFiWBaUUPJqLDTuRmA36Ab+IyMJT1E3FlOQYlBCtEx4vV16BfTsF9lPlsyf9yXZ7zJgl9gcIkB9bdrHdHu2WFvnVKbygVxwiVKJm5qa4ax7XUMw1cJFeB4t2ODy1XuqPdtEO4c1QaidCitZH2nfIIxT/oNCnu2yF7nuf9uL2mtdx5zFe4zTd652p66bTpOsyBe69Vd7fVDTYUDvidVmzsIZN++K1V/hcIEV3rRhjlfVC2r67OtpudwnFNrQL3wXZdwwnOV3vJdiW9bFrP4KRXh8eBeRpLL+he/YqVKiAChUqaN7KXmpqKiZNmoSDBw9647TLly+H2+1G48aNi7xtTk6ON9K7bt063HHHHXjxxRdx2223iQUV7YwbN+6i7oOdoB/wIyIiIiIiIiKi0HG2aEege3FWeno6jh8/jvT0dBQUFGDr1q0AgFq1aqF06dJo164d6tWrh969e+PZZ5/F8ePHMWLECAwcOLDIGYeDBg3CggULUK1aNfTv3x8LFixA+fLlL7q/v//+e6EZgv7OfPwjDvgREREREREREZExSjPS6+TY4NixYzF37lzvvxs1agQAWL16NVq2bImIiAh89NFHGDRoEG666SbExsaiZ8+emDp1apHtzpo1C9WqVUONGjWwdu1arF271na/RYsWXbCPu3btwpAhQ7BmzRpkZ2d7t59bR7CgwD5ZWpSgH/CLiFSIiDo/0qv3VNCt5KpdvTdPqOKUo/+ABMLP7Tvbbo+Ist9fJwZhqtqZ09ExU88FiW5ERJepmGugotAmqi07X2nZDN2ImBTFLRC2S7Gg/Fz7EyRFWaq++5EfvSu+jIfbOtq+3XOqzMwVjh4zUCKjdaNj9u2YqlppqmowUbBi1Nd5oRIZNvUdQ7q/dtdTKbprue0v7lJ01xKivuHqaP/2tttdkfbnIVJcYsDMe6UkNKK7gXnfDtS50bkeRSp+pvkjj9Is2uGgtLQ0pKWlFblPtWrV8OGHH2q126dPH61KvEW57777AACzZ89GpUqVjLQb9AN+REREREREREQUOs5GejUGrYJkcFDHhQYRdfznP//B119/jTp16hhrMwT+hkBERERERERERKFCqbOz/Pz9CcHxPqOuv/567N2712ibQT/DLzLGg6ho/8q2OT39X5q2r4TKMyo73/4GBfb359Rj9hG3vNP27eecsp+CnnvavqMFBfbtRMXYbjZSKdZcpNdQBNVQZE1iqjpVoCp6SedH+7ngZHwhQm9qs+XSnQrtbFRLaa5cq/LsrxdSpLdAqNIrVQzUjaZlDdKL4urGSuV27LdLVT3t9peusdJzJO4fy/3p2iWzt5t9/DrKbb+/01Fc3SqUJqL7RZHei8MxTqWLsemzdK93uueNUd/QYeo1YerzkXi9jrL5hWbVXZcQ9dX9PBUqpPf6CKHqbmSU/QcJl/DZQDeWHWzL5Th5zFDh5Pt8lJwFL5E8CJ5Ibyh47bXX8PDDD2P//v1o0KABoqJ811i7+uqrtdsM+gE/IiIiIiIiIiIKHbpr+JX0scEjR45g586d6N+/v3ebZVnhXbSDiIiIiIiIiIhCx9k1/ALdi9AxYMAANGrUCP/6179KTtGO6HgXot3nzbsVIrG6UTzdaJ00PC1V0ZS2I19oR7hb+bl69ytCqNgYIYyZ61Za0pkG7fT0dqcrMOtGXB2PjjkdZ40QKrZptmPpxkR02nc80muGdH0ReyP9+UtoxyVEfSPz7P/yE5UjHdjeqaG32h/XLUVchHtm6DklcfLRPfM3+wht7N+drWAsiY7Ti4noXn+lSK9Livoauj7qxrUlUsxdohthtm8kNCJxjl8HIwKUgxY/D5oSGo9vSDD1HDH2mBt6bHXvlxQTla4ldvsL+0rRXSnqG/3Ye/bHDBE5U7rYbpeqFbvO2C+1JFW6l6vxOvsdQ2Liu4fYR+E5FajP0MYE4L0pOicM1wW5CCqIqvQ67dSpUyhVqtRFtbFnzx588MEHqFWrlqFesWgHEREREREREREZlK+AXI//PyqEBwcrVaqEAQMGYN26dcVuo3Xr1vj2228N9ioEZvgREREREREREVHoOFeltyT417/+hbS0NLRp0wYpKSkYMGAA+vTpg6SkJL/b6NSpEx577DF89913aNiwYaGiHZ07d9buV9AP+EWUj0FETNSFdwTE+aJidFeIBUhVMaXtrhz7KeIqz/64UuzII1TRlaZwu9z2/YmONTPV3EmmprGL7etOtzcWE5VijdKDaCDaAVyCqK99/+UYp6mojP/tON4XU7SvU3rbpXZcQtRXl3yezVxgTMVHtJds0CDFiNyj37fdfmb8HfYNCe8pnqxc+/ZL6Z1j6TqrHWXVjfqYirhpPoaln/lEa//Tj7ez/4Vd/3Wv1U7TvoYbitCHerwrmARdxNVhYRv7FmjeX63XlnRNFqK7llDVN1TkvdbDdrtVJtp2u0t474g8nSccwf45Ir5XRjl8PXU6Jq7RhtPv/84vN+Hwe6XNZ/GIbOl5VjLpVukN5bHBTp06oVOnTjh27BjeeOMNpKWl4W9/+xvat2+PAQMGoHPnzoiMLHr47eGHHwYAPPnkk4V+V9yiHUE0BERERERERERERKHu3Bp+/v6Eg/Lly+Oxxx7Dt99+i+eeew4rV67EXXfdhaSkJIwdOxanT58Wb+vxeMSf4gz2ASEww4+IiIiIiIiIiEJHSazSe+jQIbzxxhuYM2cO0tPTcdddd+H+++/HgQMH8NRTT2Hjxo1Yvnz5BdvJzs5GTEzMRfcnaAb8cnJykJPzvzKSmZmZAICIiqUQEetvpFdv2r4Y+ZJiVsJUcJVtP9qqhP2l6ppKiNzJMSshZmlq6r6T06ydjhfpToeX4t2GKjmbmhKvHVvVPq5udV2hn7qRZImJSK/YdpBNcHb6OVjC3m2Vzp8JpRLpmn9qzHmmq+12qXKiB/bLQVhx9u950TGaj6EU84mSyvQGpgK27nNcOm72k5202pfOs915cHwZBF1Ox5QEAet/KNNdkyRQpOugKaFyHiTS+QnA/dL9jCVe8wMk9/k7bbdL12SXEN1VMcLXWOGxUqft24kSvpdJ581yC9+znI6zOnndNPV9Qfd7gcTh9xonl6eJOMNI7x95NGfuhfK3lUWLFmHOnDn49NNPUa9ePQwePBi9evVC2bJlvftce+21aNSokdhGQUEBJk+ejFmzZuG3337Djh07ULNmTfztb39D9erVcf/992v3K2jeAaZMmYKEhATvT3JycqC7REREREREREREms6t4VcSIr39+/dHUlISvvjiC2zduhVDhgzxGewDgJo1a2LMmDFiG5MmTUJaWhqeeeYZREf/748UDRs2xGuvvVasfgXNDL/Ro0dj+PDh3n9nZmZy0I+IiIiIiIiIKMQoZaFA+T9jU0kFMEPAwYMHERcXV+Q+sbGxGDdunPj7N954A6+++iratGnjLeABAFdffTV++umnYvUraAb83G433G53oe2uxFi44uynYDtGmAouVuM9LVXpFRZWlCK9msPaTscmtac7m4hBSaQ+GoopiJWZNePa0mMutS8RYwRSXNvp6r0aj3mR7Ug0nsv6sQBDE5mdjjsZonsd0WYqGuxwP7ViomIlZL2K7VJVWekxiRWq+kpVgEWakX6J4xFd4TxIr2nx+i69pjWj2U5WcjYVgxLbN/X+Lwm6CHDQBFLOCsdIstPvHeF4zi4FncdF81pa8E4/+2buTvP/mEWQquu6Egp/3wPkqrtWrLA9V1pqSYgGC8cV35tK2X9NtoRlOox9JpYE23XQju450Pwep/0dQCK950r91HiPdp3OLUaHwpf2Gn4hNsvv3DJ00r//KD4+/oLt7d+/H7Vq1Sq03ePxIC+veHHxoBnwIyIiIiIiIiKi0Ke7hl+oKVu2LCyr6IFopRQsy/Krym79+vXx73//GykpKT7b33nnnSLX/itK8A/4JZQGSgl/kTmf7kwezVkCVr5QVCPffoafOJwtzULQnUHk9ELBUvuRwiwzu+2GHhPxhRQpPIWlv9BIi7cLj6HKEf5Kc/qM/fZs+/2lGYEi3Rl+0mMiMTVbTTr/Es3HxXZ/8a9ymn+t06U7G8jpGYHSdcrZowbuPGi2Y3seNK/J0sw8cSafNPNPaEec/ZCoWZHL6VkFArEYhuYnu6iHFthuL3i7r16HdGfyaczs1J2lHajZ1frtm5otYWhGoNOzN0xx+LUVEE4XdgrHc2aSzvk39H3B1eV1vXY0iTP5pBlyMcL3Pd3va0IxD933VqkdOYVj6POp7udciZOvOd3rhdQX3e9xpr7r69I5l1E5F96nBCnwAFLo0U6ojQ2uXr3aSDsDBgzA9OnTMW7cOPTu3Rv79++Hx+PBokWLsH37drzxxhv48MMPi9V28A/4ERERERERERFRyFAI7yq9LVq0MNLO3Llz8dRTT6FTp054++23MXnyZFiWhbFjx+K6667D0qVL0bZt22K1zQE/IiIiIiIiIiIyJtwjvec7efIkvvrqKxw+fBie82Yh9+nTR7ydUv87Se3bt0f79u2N9SnoB/ys+DKwSl9kpNfpRftDZDF/7YixRIz02jyddKeT6z5WUl9025FiAcKCwFJ0F9nCNG4/Mvs+x43QOMeA/nmWngtStFkJ0b0LrFngbztGXltSHFw6l6auFw5fFxw9Z8VhaqkCp+NjOudBev1r3ldL9746/Vg5/N5nqhiRZ9nDttutcqW1+iMu2aD73LRZvkO8r7qfYg0V25CLdjgc+QqFOJXR4xpoJ1SirE5fk00paefT7joVqPdVgWf5YNvtVkIp+xtE2xfVELdLhOeCS3rdCksz6bavv+SRodiq5nce28+/wVbIzsTyUUW1E4D7a0VlmzlmmAj3oh1/tHTpUtx33304deoUypQp4/M92bKsIgf8zu3jhKAf8CMiIiIiIiIiotChO8MvhMf78Pjjj2PAgAGYPHky4uLitG9/5ZVXXnDQ7/jx49rtcsCPiIiIiIiIiIiM8aDkRHr379+PoUOHFmuwDwAmTJiAhIQEw70KhQG/+DJAGT+rKlkBipo4Tfd+Kd1onVBlWLc/dtsjNJ9iUt9N9KU4x40WtscK56zAfrs4Vi89B3Xvl8NT1i3pOWIqWidFp3XjF3Z0K4PpVjzWrB6ny1hM1FQESLcdzZh4QJZIcDqKq71/gD4ZaT53xMizJFQiOjbXI0u6FgnPb21OR2WDLbob6v0xcdxg+wwaKsvTSAJ1Pp2uRG93ndVYjuCSiNOsfhslRHd1o69u+yWfVFys/f7S9drhirP6S8tI7RuIDAdR9LXI44qV5YX7Km13Cdul71Pid2iN70FWtP2+JZQqQTP82rdvj82bN6NmzZrFuv29996LihUrGu5VKAz4ERERERERERFRyFAqdJaILY4PPvjA+98dO3bEyJEjsW3bNjRs2BBR5/1xo3PnzmI7Tq3fB3DAj4iIiIiIiIiIDAr3SG+XLl0KbXvyyScLbbMsCwVFFPEUk08GBP+AX1wCIE3Nvli6sU/d/XU5PZ1ad5qyLp3zozuV2hTd9qX9NQuJaTMVVXY68qy7PV+obiw9B+0i0kJsWqQbm5ZiAcF2vdA997rXBfExFN6sNCNG2pVTg+nPg07HrAXaHwZMRY9NRZtNVR6U/gpqqMK2sqsUKS07oHvOAhEdNSnEo7vG/oLuZHQ3UBWJQ+Haa5Kp16KT1XiF7eJ7ganIqkBt+ovtdkuI1gYksgrAgkPfG73HNfNeJsZNdY8rLvej0b7T37906S5hFCHEaIXP9Jalt3yPKhA+A9idt4IzWm2HO6UAj0fjehtibzkeQ8s6mGrHTpAtIEJERERERERERKHMU+BCfp7/PyE23ufjjTfeQE5OTqHtubm5eOONNwLQo7M44EdERERERERERMacm+Hn708oj/j1798fGRkZhbZnZWWhf//+AejRWUEf6bXc8bBiilfa+IJ0YxBOR/RMcTrS5ySno6ZSM8pQZTNT03ENRXTEKeu6UV9jlaKFiq3SVHm7/Z2OoJs6B7rHdZp03qTHSopOS5WrddsxFUk2welInFjhVS8eLQYigqwCszZj8SjNiJ4UN8+3qzhv3xfdmLWxOHKgBCxKHKAotKnjah3TUBVNqe8OLz1gTKi8JnQZqNouLokhVYPVXT7i67/a/0L3mmzqGi7tb7f8AmBuyRZT7ehWitVeqkDzs74N5dFctsJp4pIemvdVOvea8WhL43ullef0uk+hxaMsrUivU+N9u3fvxt///nesWrUKhw4dQlJSEnr16oUxY8YgOvp/kfD09HQMHjwYq1atQmxsLHr27ImpU6f67CP2XSnbz3n79u1DQkKC0fujI+gH/IiIiIiIiIiIKHQoD+ApCMAfz87z008/wePx4JVXXkGtWrXw/fffY+DAgTh16hSmTp0KACgoKEDHjh1x2WWXYd26dTh27Bj69u0LpRReeOEFse1GjRrBsixYloU2bdog8g/rjhYUFGDXrl247bbbHL+PEg74ERERERERERGRMUpzhh+UM4ODt912m8+gW82aNbF9+3a8/PLL3gG/5cuXY9u2bdi7dy+SkpIAAP/4xz/Qr18/TJo0CfHx8bZtn6vUu3XrVrRv3x6lS5f2/i46OhrVq1fHnXfe6cj98kfwD/jFlDr7cykFqrqmKVKEzmWoQq2J/Z2OTWrGBcV4hKnjBoru+dStJKbbvhArtaTnrE58Vzr3oR7F1SU+9+0jBmKcPcLQEgBOR3dNvOZ0YzW6zwXd53ewxaCl6LFUuVbaX6Ib49KNg4kVczVjaDbEj6Wm+u40U1VxA9V/3di605VZg2npAVORXl1OL20itW+oSrfz9KqD2jIUy1bfjbffP1qobNrQfn/140T7dsSqu5pRX6ejtVI7mp99rQghymnqM7Tu+dFoX4ysmlomytRnaFPnwMnPfdEhvAidA7Sr9OJskYvMzEyfbW63G26pIngxZWRkIDEx0fvvDRs2oEGDBt7BPgBo3749cnJy8PXXX6NVq1a27YwbNw4AUL16ddxzzz2IiYkx2s+LFSLfYImIiIiIiIiIKBScHfDz/0cBeOutt5CQkODzM2XKFKP92rlzJ1544QU8/PDD3m2HDh1CpUqVfPYrV64coqOjcejQoQu22bdvX8TExCA3Nxf79u1Denq6z0+gcMCPiIiIiIiIiIiMUR4LngL/f6CAnj17IiMjw+dn9OjRtu2PHz/eu36e9LN582af2xw4cAC33XYb7r77bjzwwAM+v7MruiEV4zjfzz//jFtuuQWxsbFISUlBjRo1UKNGDVSvXh01atTQOGtmBX+kNyL67I8TdJMdTs/QNRWhlaamOx03tZveHahKyLpT0HUTFqbOpdOPie75dDraqBsZNlWR147TEV2pfSej8kXtL1V+lfaXlgBwugJ2CER6TVTEAyD2XatqdZHbNaNvYhxMaN+da789z1C1P6fjozpxUN3YsdPXXt12dPd3usqlw5XfA/J5B7DvTyAqj5vk9HtWqAimx8tUBXbN/dXOp+33jxPia7oR2iCrimu5AlQFWJdOf3Q/m4Z6pFdi6jGx2z9C+AxUQhUn0hsdHS2ul3e+IUOG4N577y1yn+rVq3v/+8CBA2jVqhVSU1Px6quv+uxXuXJlfPnllz7bTpw4gby8vEIz/+z069cPkZGR+PDDD1GlShW/BgkvheAf8CMiIiIiIiIiopChW7RDd35VhQoVUKFCBb/23b9/P1q1aoXGjRtjzpw5cJ03gJyamopJkybh4MGDqFKlCoCzhTzcbjcaN258wfa3bt2Kr7/+GnXr1tW8F87igB8RERERERERERlTUGAhL09j5qRDicoDBw6gZcuWqFatGqZOnYojR454f1e5cmUAQLt27VCvXj307t0bzz77LI4fP44RI0Zg4MCBfs04rFevHo4ePerMHbgIQT/gp/77P4caN8LYdE1xmrWpdhyOI5iYrW2q7+K0fb1mjAm2iIuTU9kB/fsrxkdtLlGmngumBCq6qxunkE6Dw/0Ur46BiO5KgqhSHlBEzNpENWtAP5YtRYwLhEhvlLBdN3osMRXpkei04/QyCA5XHtSOp5uK6JmKlZmKm0mk2L1HI7YeqNixqfadvlYH2+cjSaDOZzCRXueRwtJL0pJMQjvGrkeBquQqMXXd193fbrv0oUz3u6apJXccPzd6u0uUkk5Q4e2OjVuEKP0Zfs7EYJcvX45ffvkFv/zyC6pWrep7zP8+vhEREfjoo48waNAg3HTTTYiNjUXPnj0xdepUv47x9NNPY9SoUZg8eTIaNmyIqCjfZQH8jSmbFvQDfkREREREREREFDqKs4afE/r164d+/fpdcL9q1arhww8/LNYxbr31VgBAmzZtfLafK/pRUKC5rrkhQT/gp+CBQnD/NUwa9LcMTScTZxDqzggU/wKk3SW945rg9CytcKX52Mp/wRJvIRxX78CW9Fdane44vVCwKaZmCUizInUFajaGqVkOofC4m5rtJawf7vQsJ0v6S77mjEPtYiSmmJhBoDmjw1hhF1MzT0zNbHF6UXrdmXy67RiaraY1C9fUrEVNjhdMEg8cIu9Npp6bpvaX6DwuAXr9WxFu+/2lmX+BKgrk8Pcg/c/Qmu2L34ftj6tgdz3SO6YlnBzLZf8eJ31n1T038n3VvK4FYLJdsI9bXGrnqvT6fwPn+uK01atXB7oLtoJmwC8nJwc5OTnef2dmZgawN0REREREREREVByeIJnhdym0aNEi0F2wFTQDflOmTMGECRMC3Q0iIiIiIiIiIroITlfpDTYnT57E66+/jh9//BGWZaFevXoYMGAAEhISAtanoBnwGz16NIYPH+79d2ZmJpKTk50t2uEwJUw7lqZHi+04ffdNFS8JWEUM54T6tGyn4wXGGOimXDwnMOslSCxjhQWEyKB4XFOZFTPNhMxC7U4yFS8K1GOiWYzAkqJpukUNnF70Xie+aypSptsXpwsvOb0EiEQ5HLOULpumYrd2y1M4HVMWiK83Q+07LtQjvcFEWjZFN1rrdNEe4XonfZaVPqN7lLCshNSO5mvF2Oe4ECZ+lw2Rrx26dB7zUB23cIr2Gn4hfPo2b96M9u3bIzY2FjfccAOUUnjuuecwadIkLF++HNddd11A+hU0A35utxtut7AGBBERERERERERhQTtNfxC2GOPPYbOnTvjn//8JyIjzw6z5efn44EHHsCwYcPw+eefB6RfQTPgR0REREREREREoU93hp9yPErgnM2bN/sM9gFAZGQkRo0ahSZNmgSsX0E/4KeUByqUp9HbcHqmaqCmmksR5lCm+9wL1DRuU6+RgD13wuw1XpSARUFMVWYz1H9jEWMDAhe/sH/e68aLAsWKsH8uWEJuUlr2QXwuSA9LgCKSthyuEqkbZdOnUd1R3t0Y8bojLRmiWxFe3F9oX7twvc3jEqjna6hHekmm+z7sePVbve54hArSSojiFnjsK7wH7jO3s993dJd+CgTpzIdK3Fl/eS3/r48l6TuNP3TX8AvlSG98fDzS09NRt25dn+179+5FmTJlAtSrEBjwIyIiIiIiIiKi0OEpsJCfFxoDwRfrnnvuwf3334+pU6eiWbNmsCwL69atw8iRI9GjR4+A9YsDfkREREREREREZI4C4NGYthfCM/ymTp0Ky7LQp08f5OefnbEcFRWFRx55BE899VTA+lWiB/zCtYqO01PNJU5OQTf1WEnTrKMjOtjfQPMu5RYssz9uiDzXAvXcCSbS81h6jkiPuficEuQUfKS1v8Qd0dHZ4wpPZe14hKHXhO79tWPq3IcruRqfUIleM9JjKTPvHZZQ4VF+bvofPZYitPLzWNhfs3pkqJDeW40tAWDq84Xu0gZC/8X+2G0WYsQWovQ6I9COxEuCLYZmqj/BFjE00R/Nl4Op64u4dI/QvHR9lCK90vaSxsnvDE7HhQMVZ9V9rzF1jkMhfh1ollJw6Qz4hbDo6GhMnz4dU6ZMwc6dO6GUQq1atRAXFxfQfpXoAT8iIiIiIiIiIjLMo2AVlIwBv3Pi4uLQsGHDQHfDiwN+RERERERERERkjEtBb4ZfCCYeBgwY4Nd+s2fPdrgn9oJ+wM+jPEEzxVt3+m9Jm+br5MtTNx4ZKMHWz0BFFU3ELEOFqcc8UOesJD1WkmA7B8EWMdZ975OWBpDeE429dwTJZ4XiCJVlH3SZWiYiYJ+ngug5JUbWDFVgd5p21N9QJXdzFa2F9rWrLZs4qIE2LgGxGm+o3IEw5PS5D9T1JVBRYruz6Qm25RECTDfSG4qjJ2lpaUhJSUGjRo2CcomWoB/wIyIiIiIiIiKiEKIAK8zX8Hv44YexYMEC/PrrrxgwYAB69eqFxMTEQHfLK8hWsiUiIiIiIiIiolBmKQVXgf8/oTgBeObMmTh48CD+/Oc/Y+nSpUhOTkb37t3x6aefBsWMv6Cf4Rcd0Q7REfE+24It7iSRpk07XkVTEGyxNXIeH3Oi0BNsr1tT70GMcVFx8bljLh4dMIYqvDstUM81J8+D7n2S3oOk9wJT71mh8v2OZLxW8xycz/JoruEXotxuN3r06IEePXpgz549SEtLw6BBg5CXl4dt27ahdOnSAetb0A/4ERERERERERFR6CgJa/idz7IsWJYFpRQ8nsCv6chILxERERERERERGePyKETke/z+CcUqvQCQk5ODf/3rX2jbti3q1KmD7777Di+++CLS09MDOrsPCNEZfsEWd3JaSbu/REQUPJx+D2KMi6jkYvztrECcBylGnFuwTGt/omAViO/Q7ojMS37MYGZ5cHZtvjA2aNAgLFiwANWqVUP//v2xYMEClC9fPtDd8grJAT8iIiIiIiIiIgpOJSHSO2vWLFSrVg01atTA2rVrsXbtWtv9Fi1adIl7dhYH/IiIiIiIiIiIyBhLKVg6RTtCcDJgnz59YFnBO1TJAT8iIiLSxiguEQULLn9DFHr4ug1/lgr/Kr1paWmB7kKROOBHRERERERERETGWB4V9mv4BTsO+BERERFR0OIsEKLwoVsUhIVdAofXXrpYlkLYR3qDHQf8iIiIiIiIiIjImLNFOzz+788RP+M44EdERERERERERMboVukl8zjgR0RERNoY9SEiIl3RER0C3QUiukQsD/TW8OPYoHEc8CMiIiIiIiIiImNcHg8i8nUivWSaK9AdICIiIiIiIiKi8GEpwOVRfv84qXPnzqhWrRpiYmJQpUoV9O7dGwcOHPDZJz09HZ06dUKpUqVQoUIFDB06FLm5uY72y2kc8CMiIiIiIiIiImMsj4KrwP8fKOcG/Vq1aoWFCxdi+/bteO+997Bz507cdddd3t8XFBSgY8eOOHXqFNatW4cFCxbgvffew+OPP+5Yny6FoIn05uTkICcnx/vvzMzMAPaGiIiIiIiIiIiKRZ0d9AsGjz32mPe/U1JS8MQTT6BLly7Iy8tDVFQUli9fjm3btmHv3r1ISkoCAPzjH/9Av379MGnSJMTHxweq6xclaGb4TZkyBQkJCd6f5OTkQHeJiIiIiIiIiIg0WcqjF+lVCrm5ucjMzPT5+ePEMBOOHz+O+fPno1mzZoiKigIAbNiwAQ0aNPAO9gFA+/btkZOTg6+//tro8S+loBnwGz16NDIyMrw/e/fuDXSXiIiIiIiIiIhIw84fLOzetxFK+Ve048jxn5Gdk4nly5f7TARLSEjAlClTjPTpz3/+M0qVKoXy5csjPT0dS5Ys8f7u0KFDqFSpks/+5cqVQ3R0NA4dOmTk+IEQNAN+brcb8fHxPj9ERERERERERBQ61m1Ow5mcTOzav/GC+yqlsPmHBahX63ZMmjTJZyJYRkYGRo8ebXu78ePHw7KsIn82b97s3X/kyJHYsmULli9fjoiICPTp0wfqD+sGWlbhOsFKKdvtoSJo1vAjIiIiIiIiIqLQFhsbi5mznsPgR0Ygpcr1iIiIEvfde/BrZJ06jF/3fAO32w232+3XMYYMGYJ77723yH2qV6/u/e8KFSqgQoUKuPLKK3HVVVchOTkZGzduRGpqKipXrowvv/zS57YnTpxAXl5eoZl/oYQDfkREREREREREZEyvXr3w2NCx+GnXStSvdbvtPh5PPr7e9jamTX8apUuX1mr/3ABecZyb2XdufcDU1FRMmjQJBw8eRJUqVQAAy5cvh9vtRuPGjYt1jGAQNJFeIiIiIiIiIiIKfREREVjwzj/x3Y4lyMn93XafHbvXwGW5cP/99zvWj6+++govvvgitm7dij179mD16tXo2bMnrrjiCqSmpgIA2rVrh3r16qF3797YsmULPvvsM4wYMQIDBw4M6eXmOOBHRERERERERERGtWvXDuXL1sR3Oz4o9LvcvDP4z/bFeGP+LERGOhc+jY2NxaJFi9CmTRvUqVMHAwYMQIMGDbB27VpvfDgiIgIfffQRYmJicNNNN6F79+7o0qULpk6d6li/LgVL/XGVwiCSmZmJhIQEZGRkhPSIKhERERERERGFN45h2PvPf/6D6xo1QefWT6FMqcu827dseweHj+/AwSM/hnRhjGDGGX5ERERERERERGTc1VdfjeqX34gtP77j3XbqzHH8+OunWPrxPA72OYgDfkRERERERERE5Ig169/CvkPf4OiJXwEAW396D1UrX4frr78+wD0LbxzwIyIiIiIiIiIiR1StWhV1a7bH1z8swImMdOzetxGffT4/0N0KexzwIyIiIiIiIiIix6zbNA8ns/Zj9VfTcGWN1qhZs2aguxT2nCuFcpHO1RLJzMwMcE+IiIiIiIiIiGTnxi6CtC5qwCUkJGDa9Gcw8vFxWPfVW4HuTokQtFV69+3bh+Tk5EB3g4iIiIiIiIjIL3v37kXVqlUD3Q2i4B3w83g8OHDgAMqUKYOsrCwkJydj7969LG9NRmRmZvI5RUbxOUWm8TlFpvE5RabxOUWm8TlFpl3K55RSCllZWUhKSoLLxdXTKPCCNtLrcrm8o+LnyjTHx8fzwk9G8TlFpvE5RabxOUWm8TlFpvE5RabxOUWmXarnVEJCguPHIPIXh52JiIiIiIiIiIjCCAf8iIiIiIiIiIiIwkhIDPi53W6MGzcObrc70F2hMMHnFJnG5xSZxucUmcbnFJnG5xSZxucUmcbnFJVkQVu0g4iIiIiIiIiIiPSFxAw/IiIiIiIiIiIi8g8H/IiIiIiIiIiIiMIIB/yIiIiIiIiIiIjCCAf8iIiIiIiIiIiIwggH/IiIiIiIiIiIiMIIB/yIiIiIiIiIiIjCCAf8iIiIiIiIiIiIwggH/IiIiIiIiIiIiMIIB/yIiIiIiIiIiIjCCAf8iIiIiIiIiIiIwggH/IiIiIiIiIiIiMIIB/yIiIiIiIiIiIjCCAf8iIiIiIiIiIiIwggH/IiIiATr16/H+PHjcfLkyUK/a9myJVq2bHnJ+3QpvfDCC6hbty7cbjdq1KiBCRMmIC8vr9B+hw8fRr9+/VChQgXExcUhNTUVn332mW2bK1euRGpqKuLi4lChQgX069cPhw8fLrTfX//6V9xxxx24/PLLYVkW+vXrp91/f/uVk5ODZ599Fg0aNECpUqVQqVIl3H777Vi/fr3W8fw5X/v27cOwYcPQokULlC1bFpZlIS0tTes4v/76K7p164ayZcuidOnSaNu2Lb755hvbfRcsWIBrr70WMTExSEpKwrBhw/D777+X+GMRERERhTsO+BEREQnWr1+PCRMm2A74zZw5EzNnzrz0nbpEJk2ahEcffRTdunXDp59+ikGDBmHy5MkYPHiwz345OTlo06YNPvvsM0yfPh1LlixBpUqVcNttt2Ht2rU++65duxa33347KlWqhCVLlmD69OlYuXIl2rRpg5ycHJ99n3/+eRw7dgydO3dGdHS0dv91+jVw4EA88cQT6NKlC5YuXYqXXnoJR44cQYsWLfDVV18ZPV+//PIL5s+fj+joaHTo0EH7fh05cgS33HILduzYgdmzZ2PhwoXIzs5Gy5YtsX37dp9958+fjx49euD666/Hxx9/jHHjxiEtLQ3dunUr0cciIiIiKhEUERER2Xr22WcVALVr165Ad+WSOnr0qIqJiVEPPvigz/ZJkyYpy7LUDz/84N320ksvKQBq/fr13m15eXmqXr166oYbbvC5/fXXX6/q1aun8vLyvNu++OILBUDNnDnTZ9+CggLvf5cqVUr17dtX6z7426/s7GwVERGhevXq5XP7AwcOKABq6NChFzyWzvn64/3atGmTAqDmzJnj9/0aOXKkioqKUrt37/Zuy8jIUBUqVFDdu3f3bsvPz1dVqlRR7dq187n9/PnzFQC1bNmyEnssIiIiopKAM/yIiIhsjB8/HiNHjgQA1KhRA5ZlwbIsrFmzBkDhSO/u3bthWRaeffZZPP3006hevTpiY2PRsmVL7NixA3l5eXjiiSeQlJSEhIQEdO3a1TbK+vbbbyM1NRWlSpVC6dKl0b59e2zZsuVS3GWvTz75BNnZ2ejfv7/P9v79+0Mphffff9+7bfHixahTpw5SU1O92yIjI9GrVy989dVX2L9/PwBg//792LRpE3r37o3IyEjvvs2aNcOVV16JxYsX+xzL5bq4jyj+9svlcsHlciEhIcHn9vHx8XC5XIiJibngsXTOl4n71bp1a6SkpPj0tVu3bli6dCny8/MBABs3bsTBgwcL9enuu+9G6dKlC53vknQsIiIiopKAA35EREQ2HnjgAfzf//0fAGDRokXYsGEDNmzYgOuuu67I27300kv44osv8NJLL+G1117DTz/9hE6dOuH+++/HkSNHMHv2bDzzzDNYuXIlHnjgAZ/bTp48GT169EC9evWwcOFCzJs3D1lZWbjllluwbdu2C/Y5Pz/frx+lVJHtfP/99wCAhg0b+myvUqUKKlSo4P39uX2vvvrqQm2c2/bDDz/4tCnt+8c2TfC3X1FRURg0aBDmzp2L999/H5mZmdi9ezcGDhyIhIQEDBw40K9jAf6dr4tx5swZ7Ny5U7xfZ86cwa+//urTp/P3jYqKQt26dQv1ybIsnwHscDkWERERUUkVeeFdiIiISp6qVauiWrVqAIBGjRqhevXqft2ubNmyeP/9970zuY4ePYphw4ahbt26WLJkiXe/n376CdOmTUNmZibi4+Oxd+9ejBs3DkOGDMGMGTO8+7Vt2xa1a9fGhAkT8Pbbb4vH3b17N2rUqOFXH1evXl1kwZFjx47B7XajVKlShX6XmJiIY8eO+eybmJhou9+53//x/6V9/9imCf72Czi7XmBCQgLuvPNOeDweAEC1atWwatUq1KpVy69j+Xu+LsaJEyeglDJyvnfv3u2zLSIiAhEREWF3LCIiIqKSigN+REREBnXo0MEntnnVVVcBADp27Oiz37nt6enpaNCgAT799FPk5+ejT58+3vgiAMTExKBFixZYvXp1kcdNSkrCpk2b/OpjnTp1LriPZVl+/87EvkW1IVFKoaCgwGfbH+PC/vZr0qRJmDp1KsaPH49bbrkFmZmZePHFF9G2bVssX74cjRo1AgCfxwU4O3B1rh2dc3CxnDjf59+3cDkWERERUUnFAT8iIiKDzp95dK7CrLQ9OzsbAPDbb78BAK6//nrbdi+09lt0dDSuvfZav/r4x9lVdsqXL4/s7GycPn0acXFxPr87fvw4Gjdu7LOv3Qy248ePA/jf/S5fvjwAiPvazdi6kLlz5xZay+1cXNnffv34448YO3YsnnnmGYwYMcK73+2334569eph+PDh3sHWqKgon7bmzJmDfv36aZ2vi1GuXDlYlqV9vitVqlRo3wud73A9FhEREVFJwQE/IiKiIFChQgUAwLvvvutTuMBfJiO959ai++6779C0aVPv9kOHDuHo0aNo0KCBz77fffddoTbObTu377n//+6779ChQ4dC+/6xTX916tRJnNXob7++/fZbKKUKDbRGRUXhmmuuwdq1a73bzj/WufOtc74uRmxsLGrVqiXer9jYWNSsWbNQn+rVq+fdLz8/Hz/99BN69OhRIo9FREREVFJwwI+IiEjgdrsBnC0q4LT27dsjMjISO3fuxJ133ql9e5OR3ttuuw0xMTFIS0vzGcBKS0uDZVno0qWLd1vXrl0xaNAgfPnll9598/Pz8eabb6Jp06ZISkoCAFx++eW44YYb8Oabb2LEiBHeWYYbN27E9u3bMWzYMI17e1b58uW9M77O52+/zv3/xo0b0aJFC+/tc3Jy8M0336Bq1arebU2aNLE9ls75ulhdu3bFtGnTsHfvXiQnJwMAsrKysGjRInTu3NkbaW7atCmqVKmCtLQ03HPPPd7bv/vuu/j999/RrVu3EnssIiIiohJBERERka3Vq1crAOqhhx5S69evV5s2bVKZmZlKKaVatGihWrRo4d13165dCoB69tlnbdt45513fLbPmTNHAVCbNm3ybps8ebKKjIxUDz30kFq8eLFas2aNevvtt9Xjjz+uxo4d69wdtTFx4kRlWZb6y1/+otasWaOeffZZ5Xa71cCBA332y87OVvXr11fJyclq/vz5asWKFapr164qMjJSrVmzxmff1atXq8jISNW1a1e1YsUKNX/+fJWcnKwaNGigsrOzffZds2aNeuedd9Q777yjYmJiVMuWLb3/Pnz48AX772+/CgoK1PXXX69iYmLU2LFj1cqVK9V7772nWrZsqQCoefPmGT1fSinv/Xj66acVADV48GDvtgs5fPiwqlKlimrYsKFavHixWrZsmWrevLkqU6aM+vHHH332nTdvngKgHnzwQbV69Wr16quvqrJly6q2bdsWajciIkK1bt067I5FREREVFJxwI+IiKgIo0ePVklJScrlcikAavXq1UopZwb8lFLq/fffV61atVLx8fHK7XarlJQUddddd6mVK1c6cv+KMn36dHXllVeq6OhoVa1aNTVu3DiVm5tbaL9Dhw6pPn36qMTERBUTE6NuvPFGtWLFCts2ly9frm688UYVExOjEhMTVZ8+fdRvv/1WaL8WLVooALY/5x6DC/G3XydPnlRjxoxRV111lYqLi1MVK1ZULVu2VMuWLfPrOOf4e76k++Xv32F/+eUX1aVLFxUfH6/i4uJUmzZt1Ndff22771tvvaWuvvpqFR0drSpXrqyGDh2qsrKybPv0x+dzuByLiIiIqKSylPrv6tZEREREREREREQU8oou+UdEREREREREREQhhQN+REREREREREREYYQDfkRERERERERERGGEA35ERERERERERERhhAN+REREREREREREYYQDfkRERERERERERGEkMtAdkHg8Hhw4cABlypSBZVmB7g4RERERERERkS2lFLKyspCUlASXi3Or7Pzyyy+YVLsTZnu2cZznErCUUirQnbCzb98+JCcnB7obRERERERERER+2bt3L6pWrRrobgSlq60K+A7H8OGHH6Jjx46B7k7YC9oZfmXKlAEA7NydhjLxcQHuDRERERERERGRvazM07iiej/vWAb5+uyzz7ATGfgTauDBO+7BnryTiIwM2iGpsBC0Z/fc9M4y8XGI54AfEREREREREQU5RlUL83g8GHBrF3RECtoiGRtwCA9ENUCa+inQXQtrDJYTEREREREREZEj5s+fj1PIw62oikjLhbtwBd7HLvz++++B7lpY44AfEREREREREREZd+bMGQzrMxDdcAWirAgAQGNchgqIQa8yVwe4d+GNA35ERERERERERGRc37iGKINoNEUl7zbLsnAPauMTpOPQoUMB7F1444AfEREREREREREZdezYMXyIPeiOK/D/7N17nMz1/gfw13dmd8cu1iW1yG1FSrqIEpVLQuVQqRTlWv0STuFIOU6hQhcpuju5dpNTukgXinRERdEpijhC4pDLrtveZr6/P/bY09jPe8179/M1M7uv53ns4+Qz3/18P/Odme/MfPbz+r59x1zbsIFTCU1QFT1qNIvS6Eo/TvgREREREREREZFVN1U7Dw1RCWc6VY23X4/T8AV24scff1T1+/zzz+Occ85BamoqUlNT0bJlS3z44YcFt7uuizFjxqBmzZpITk5G27ZtsXbt2hLdl3gUs1V6TwQH3lbPcRxv51NdN2SlH6/HaYPXj1W0uHCjPYQw2uOsHb+N56z0fLX1epDE2mNFRERE8SXg7xztIVgXcj8xtueGsq30XxqPWbzLDi6I9hAi4vX3Gjq+TZs2YSl+w/1oLm6T5qSgtVsTPRu3xmp3d8R916pVC4888ggaNGgAAJg1axauvvpqrF69GmeddRYee+wxTJo0CTNnzsTpp5+Ohx9+GB06dMD69etRsWLFEt+3eBH7Mz1ERERERERERBQ3bmrQChchDbWcCkVu1wX18BP2YenSpRH33aVLF1x11VU4/fTTcfrpp2PcuHGoUKECvvzyS7iui6eeegqjRo1Ct27d0KRJE8yaNQuHDx/Ga6+9VtK7FVc44UdERERERERERFZ89dVX+B57cA3qH3fbVCcJV6Eu+rbtgiNHjiAzMzPsJzu76BXDwWAQc+bMwaFDh9CyZUts3rwZO3fuRMeOHQu2CQQCaNOmDZYvX17i+xZPYj7Sm+BLRIIvKazNLw0757C5PZRnbg8K7RK/sF8pEusIy4KlfnxSuxRhNPfvOMLy5WisUpZWUmvHIj2GUoxT+9hqCY+J+FyQ/LcsecT9KJ8L4m6l54iStF8X5sfFFV4TmjiuGEEXjqXUt7Rs3++YX4d5oZzjD+6Pw7EUlfc6qhzvYumSBLH2WDGaQkRkluRLNrZLn1+keGo8XHImL/SxsV17iRTpPUXaPtEXMLb7nMuN7RQ/bMWspWiw9LqSnrM+6fuUQPt5TfN5yhdDn0ujbehFV6MNaqKKYz4XHKsDauNjbMXgwYMxffr0sNtGjx6NMWPGFPqd77//Hi1btkRWVhYqVKiAt99+G40bNy6Y1EtLSwvbPi0tDVu2bCneHYpTMTPhl52dHTZzm5mZGcXREBERERERERGRVq0bWsP/5hr4fJH9YSQZCSgfTMSNN96IJ598Muy2QMA8adioUSOsWbMG+/fvx1tvvYU+ffqExYKPXeTiuq61hS/xImYm/CZMmICxY8dGexhERERERERERFQCjg/waRZgBoGkpCSkpqZGtHlSUlJB0Y7mzZtj5cqVmDx5Mu69914AwM6dO1GjRo2C7Xft2lVo1V9pFzMTfiNHjsSwYcMK/p2ZmYnatWvDf2Af/E74Mno3T8hwB4XIXZ4uiqcmLd1NSDI2O0nlzdtLkV4hAizOTXsdKwsJ/UsxV00f0tiV7a4bjHwsABzlUnA5xq1s10aDhXbPY43COKXnoCM9l8X7pTgVSYl1IV4cEmPl5udOSHjuaOMCth4Tn2M+j0ixI1uiFQfVxqMcxaVopb/oaSPxEtexE4MS+1c+JuJTP0rR43iOGMdDbK80iOfnCJ0Ytl6LuaEsc/9RigzqOl9ibs8+aGxO0H4GlT6jB1gtl+zSRndtkV7P0mdKJ5hr7ii38HkkMdvjeYc44ziIeIVf/i+UbH+u6yI7Oxvp6emoXr06Fi1ahKZNmwIAcnJysHTpUjz66KMl20mciZkJv0AgIC7VJCIiIiIiIiKi+ODzAX7F30s0831//etfceWVV6J27do4cOAA5syZg88++wwfffQRHMfBkCFDMH78eDRs2BANGzbE+PHjkZKSgp49e6rvRzyLmQk/IiIiIiIiIiKKf47j6Fb4KfznP/9Br169sGPHDlSqVAnnnHMOPvroI3To0AEAMGLECBw5cgQDBw7Evn370KJFCyxcuBAVK1b0ZDyxKuYn/Nycg3Czj4nYSRFdbXtIGR2RnqzSkvigEMWTxqOtAqyNv9qiWWatXZJt6z5JcQRpt9rKycp4hBgZDlmKBntNXZVYeI5L22ue+8JjIsZwICzb93Uw7zNO6N86hQiQdBq0FK/3+rUrMj1npUi8tm9tP+LrRPl6VlbplmLfIZhj69o4pTayxlisLJaqTUdVjFW6lngZPdZG3KTtpTFKl62IFmn8UuROul9SP34nUehHd1kP6fj7pUuSSE+R0KfCDYIsQxFDW++TWrlvmdstXZ5G/fpPvlq3PcUcMVqr/UwvXZrFELkFAITyzO1Bqd38vcY1RH3dI0fMfZRR+ZFezS9Evum0adOOs28HY8aMMVb3LUtifsKPiIiIiIiIiIjih+MAPn/ks3j807B9nPAjIiIiIiIiIiJrHJ9yhR9ZF/sTfjlHgJxjlumK0V0hppAnLM+VIr3apfLSs9gnVBMWt5fahblur8cvbq+INnsdTbUV/0ksZ25P0r1EHJ85OqImLDXXVh+29VzQVjGWxikeH6GiNfyG9oROqrHwL0X/JT0XpFiD9NqS4g7a7aWq6mJcXlfF3Pj2pj3txNp5KmjuR4z6Ca9bn8/cLkXZxCrDyihhPPM6jhzvkV5bFUm17zUSW89B6X5pYrdS5FOKpslPtXbSDSp5oY+N7fHyutVGgCU+53KhXfiFPPNxgytFBj2+/IWGrb5tfabXximlz8TZr5iHU/kW3XjIGtddbGx3HPMLK8ERPv9LnxFzD5vbhbkBNyh8F1c+11SffXMY6f0jn+OoVvjxi5t9sT/hR0REREREREREccPnAxITNJFezvjZxgk/IiIiIiIiIiKyxvEBQrBE+AXPhlJmxf6E36EDgHNMBRwpuistnxe3V0ZitZVfhYpB0rJmddRXS1sSWxsxNm1vow+btJXEhKipk1Te2O7mCUvHJdqYhbS9FOk7qa+u/8w3zO1SnFKKO1Xsodsvec/XXmhX9mMpta524B/mdk08SojEyjFiYSzKWLk1uR/qtlfGrHxiVXKhWqajqw6sZStiKMYvhQfY+B5tKxJvK+anjbjbiuKJ4xFiWdH64G4tnap8XEyxr9wD5m2lCJr4OWK20G7mJCYb2xMq3qDqx2tSxFgbc5dez9L5SHxqukJFe9MlRgDAsRO1joqDHlfd1RJeV6ZKqADkyqm7X1Lt1jn5NtX2BDHi7kivE+lyXFIVXen8mCvEZaUIsLRfdZVeod00x3BIuE9llOM48CnmIDjfZ198XzSGiIiIiIiIiIhiis/J/xtCpD/x7p///CduueUWtGzZEtu3bwcAvPzyy1i2bFnUxlQKDisREREREREREcWK/EivE/FPPC/xe+utt9CpUyckJydj9erVyM7OX7F/4MABjB8/Pmrjiv1Ib+ZhIHTMclkhEiNFaK1V6RXbddkRN0GonNj2KVU/trgr/yrcIkShNTFdbaRXYi3urK1yK1QGO5Jp3l4ZDVbHryRSvEtLGmfKtXb6JyquGIuhRUXildHZb/YCY7MjVvVWxr6keKSt6HToU6FdiomZYpnmiI6bJ8WLPKwAWJSkFGOz+vIO8e6QOaooPl7KS7Y4fuHaBpUMl7MQNnX3zBRuUD7mwutKir450qU7Uiqb2229Do+8a+5eGn/AfOkU6bI40ncAsXqvEN2Vq5JL3z0WGdulqueJvivM4xGrABv2K33mEy/LIMSOK1xnbtcS3iPUtO8R2vNmoIJ5c+G1WObOmzZkCd+PpPdQbURXjNYqo7s5wvu/dBkwzfYHlZd3KuUcB/ArvtbG8XwfHn74Ybzwwgvo3bs35syZU9DeqlUrPPjgg1EbV+xP+BERERERERERUdxwfP9duVcGrF+/Hq1bty7Unpqaiv3795/4Af0XI71ERERERERERGSN+hp+cTw3WKNGDWzcuLFQ+7Jly1C/fv0ojChfzK/wc7Oy4PqPWV7vdURXWwVYiDX5/jTVvH2McS6IXqb8WO7q+803+ITH1qd7TCTOafeqti+1pKXyRFR2BTpHewQlo61QbfpkFBC23fmCuV2KlEmxI6ldihEJnEYDVduXWkJUMZa+R8RcXDDjdXO7I0SApUuACLFJJF+tGo4jRVyFiLGQ9JWr7goxV6kb7XPHdYXxS6TotHRJAuNOparSij4A+Zwpbq9cPxIUxmmr2q/Aqdrb0/5jjim+L1VCFiLo6ti09F4mVq73sFouIH93l95bc6T+hUs85Rbux81ipPePtFV649kdd9yBu+++G9OnT4fjOPjtt9+wYsUKDB8+HA888EDUxhXzE35ERERERERERBQ/8ot2KLb3biieGzFiBDIyMtCuXTtkZWWhdevWCAQCGD58OAYPHhy1ccX+hF9WDnDsk8TWyjxhezeoK8Lhv2Gmanut3JcMF4FGfibeJKH/a14OR+R+dV+J+3BaPGJhJFRsLIxARGWc+93owo1J5soLzpl/M/ex7Slz59qVfIfNFzp3mj5k3p6ouEwFR6LJVrEQqWCFxxKyza9dJCpX/plo0xhSgThbx1giFGoQi4tIq720hWwErrAi26k+wEr/Wu4uIQkmPb7S8ZSOj2nFpFhQSln4UvudW+jfOXeseXuBnARTrg6V5gAMK/byt1cU/5BWCZZRPh+QkKiYxovnGT8A48aNw6hRo7Bu3TqEQiE0btwYFSoIK99PkNif8CMiIiIiIiIiorjh8znwKyK98Tzfl5GRgWAwiKpVq6J58+YF7Xv37kVCQgJSU1OjMi4W7SAiIiIiIiIiImucMlS046abbsKcOXMKtc+dOxc33XRTFEaUL/ZX+OXmAjnHPPLiMlxpebGwTFkb3e05W7W9Vs4z3Y3tjlDKOuFO4ULKUcI4LhERxQtVNEi6YPePD5v7SBAuWCPFnYTorntEaF84yNyPsshHvBQXI4o28bVeTipekmJul4qd+M3tToKhYpBU3ELb7v7D3K69vIt0XhP262ZlmLeXIqvaQhDK4h9Ri/oe2m9ul87jUoxWsb0bFPrwuiCm0I/70Z3m7aWIrnB5DfE9V+pHOU5VtFl6nMooxwF8wlyG8BuejcVrX331FSZNmlSovW3bthg1alQURpQv9if8iIiIiIiIiIgobhxd4VcWZGdnI88wOZybm4sjR45EYUT5ysjhJyIiIiIiIiKiE8FxAMfnRv7j6BKYseSCCy7A1KmFkxMvvPACmjVrFoUR5Yv9FX45uUBC+NJON9e8DNfNEpbQBs3bR6uabfYT3YztUtVdV5fQISIiEoWW32OpI/N7q++SJ+z0L+32y3uN7Y4jxECkPy2Lf3I23S9hWzHmo4xHSZEsod3X8Vnz9kRUIu76ceYbpIvOS69pKZ4qVUn1m2Orrqkfoequc/Jt5r4lmcKlgaR2KSorVQGWorhSuzbSK9GOU4oe73jOvHmNgarhiHFwZXRXXUHW1I+tKKutqK9Een/WxmUVxSKKpDk+2crna2nnU6fs49a4ceNw+eWX47vvvkP79u0BAJ9++ilWrlyJhQsXRm1cZeTwExERERERERHRieAgf9VepD/x7OKLL8aKFStQu3ZtzJ07F/Pnz0eDBg3wr3/9C5deemnUxhX7K/yIiIiIiIiIiCh+OGVnhR8AnHfeeXj11VejPYwwMT/h52YF4fqCx7QJ1fKkqK/QHjU55vGExGrC5u2zHuyi26/f/GorN+pdXT9ERFRIaF4/8w1SNEWqKqesQue7bIqx3f3qPt14BL6LHjW2hz4bomqXo7W2orgCbZTIFH4IRSlGJNzXkFSlV4g7+a4yV6G0JfT+/5lvkKJp2UJMLGjnr/uu8Hkq4ZaXrfRP8c/dWriSIgD5/Cuej4SvUtrzlFRxNmiIB5raiiP1Rt32B4SqvkLk1g1ZuiaRdGy08c4E4byjrG7sbntKGI/wuEjvQbaiu5p4rXTMlGNUR4PV78PxUenWNbxnie9vZVR+0Q7Fe3v8FukNc+TIEeQe81pOTU2NylhiZsIvOzsb2dnZBf/OzMyM4miIiIiIiIiIiKg4HL8LX0LkE37xPN93+PBhjBgxAnPnzsWePXsK3R4MRmciO2YWWE6YMAGVKlUq+Kldu3a0h0RERERERERERErOfyO9kf7Es3vuuQeLFy/Gc889h0AggJdeegljx45FzZo1MXv27KiNK2ZW+I0cORLDhg0r+HdmZiZq164NNzsI1xe+NNbNlpZAC+1C9V4pEitGgIVlysnjPjBvLwh5HGVJfmiBlX6IiMoyaxFd7fZKoWV/Ue3X1+pxK/sVoz7aiK5Eu70t6uiRiaX7qo19C0If3akbj7VYlsBW5Fn43OQI/Qdf623uxy89Z83t/htmHm9kFOOcOsOM7WJcU6rwKkV6JSHhO4AY6Y2heGDFG1SbS69y9/fpwi9YulyDGE9VHkvte5D0nqiOxVqqpGvarzhGRR8wR1kByGO09B1XIl3GQeTheNwj8RFHPlHyI72aX/BsKJ6bP38+Zs+ejbZt26J///649NJL0aBBA9StWxevvvoqbr755qiMK2Ym/AKBAAKBQLSHQUREREREREREJXC0Sm9ZsHfvXqSnpwPIv17f3r17AQCXXHIJ7rxT+YdXi+J84SQREREREREREcWUMhTprV+/Pn755RcAQOPGjTF37lwA+Sv/KleuHLVxxcwKP0l+pDf80VdX6VVuLy1HlpYvHxl1lbkfJXF5tCDlkQ+t7JeIqCwTK4zaiujaiqZKkZUcS5UQpd1KFWFtVdGNVnRXQ4pYSWPXRl+1/UetgrGdfhwhQmttDYDH8bHgG32M7f4bZ3m6X/KeU3uIp/27O57T/YLpG7AU/40TTrX+xnZ3p1BNXJoF0J5/rUVulZc8ENrlarzKcVqI9EqXxRK/E0vfoaVzb9DOczaWorsAkHjHnEJtCZmZwJ1zPd1vPMmfyPPmcZgwYQLmzZuHn376CcnJyWjVqhUeffRRNGrUqGAb13UxduxYTJ06Ffv27UOLFi3w7LPP4qyzzrI+nn79+uG7775DmzZtMHLkSHTu3BlPP/008vLyMGmSUBn+BIj5CT8iIiIiIiIiIoojjm7lnqO4ht/SpUsxaNAgXHDBBcjLy8OoUaPQsWNHrFu3DuXLlwcAPPbYY5g0aRJmzpyJ008/HQ8//DA6dOiA9evXo2LFiso7U7ShQ4cW/He7du3w008/YdWqVTjttNNw7rnnWt2XBif8iIiIiIiIiIjIGsdx4fNohd9HH30U9u8ZM2bglFNOwTfffIPWrVvDdV089dRTGDVqFLp16wYAmDVrFtLS0vDaa6/hjjvuKPEYqlatig0bNqBatWro378/Jk+eXDCRWKdOHdSpU6fE+yipmJ/wS7xtJhJTU8PassZdbdxWXI4sRX0ZoSUiIimKKxX0E+OLdqruisS4kLC9Mt4Z+uTPun601XhtVWbV8jIybCkS67rK6ou2orheEx9z82PiiE9mM/FTnPD5ToyDaWNigrxXehVqS7jlZSt9U+ng1BhobBejvglJEfcR75zqA1Tbuz8+rNuBMurrZmertpfP13YiwOrosWF78fJXyoiu+J1bWb1X+11cJB0Dof+koW8Z23OevM7OeKiAo1zhBwA5OTnIzMwMa4ukwGtGRgaA/Ek4ANi8eTN27tyJjh07hvXTpk0bLF++3MqE39GxVqtWDbNmzcKjjz5qfeVgScX8hB8REREREREREcUPB1BW6XXx2muvoVOnTmGto0ePxpgxY+Tfcl0MGzYMl1xyCZo0aQIA2LlzJwAgLS0tbNu0tDRs2bJFMSZZy5Ytcc0116BZs2ZwXRd33XUXkpOTjdtOnz7dyj61OOFHRERERERERETWOH4XvgTFhJ8D9OzZE1OmTAlrPt7qvsGDB+Nf//oXli1bVrjLYy4M6LpuobbieuWVV/Dkk09i06ZNAPJXGWZlZVnp25aYn/A7MuEGJAYSwxulZceC5HEfWBwRERGVJr4rnldtL1XoFD86JCVKtwgD0lZm1X1oCS2+y0o/nlfX1Vau1fYjEOO1Hu4zahExr1mKyoqxL1sVG5UVJDWVInNf6mFsT7ztddU+qXQTo767XzrBI4k90uUmnIrlzb8gveeKFWeFarlZQqQ3K8fcrqmWiyJitBLtpQpM2wvnOnEs4jHTRXqjVl1X6Ee6PJjEET4fmfrJyhKeT2WU4+g+tjkAkpKSkHrMJd2K8uc//xnvvfcePv/8c9SqVaugvXr16gDyV/rVqFGjoH3Xrl2FVv0VV1paGh555BEAQHp6Ol5++WWcdNJJVvq2xeNP60REREREREREVKY4gONzI/6R/3pemOu6GDx4MObNm4fFixcjPT097Pb09HRUr14dixYtKmjLycnB0qVL0apVK1v3EACQm5uLevXqYc+ePVb7tSHmV/glj/wHkhUzvERERF5yDwl/vRX+AuyoV+wJO5aKi0jtEu3qMFvE/QorBaQVh8I4XVsr/zQrEbTHTLtPr/tX92Nn/OoVezZWtgDWVrdITPfL8Zufx7nP36jqO/HON1TbU+ngnHxbtIdwXMF/9DXfoH19Cpxy5vc4N0d4Ly5XuNAJAP3qcOXKa/eIeTyhA+YVgW6WsgiHluE468+ZtlbsebeKuuj9WlplLpzHjcc4W6r4VjYVp2hHpAYNGoTXXnsN7777LipWrFhwzb5KlSohOTkZjuNgyJAhGD9+PBo2bIiGDRti/PjxSElJQc+ePa2OJTExET/88IO1qLBNXOFHRERERERERET2OC4cxY/G888/j4yMDLRt2xY1atQo+Hnjjf/9gWzEiBEYMmQIBg4ciObNm2P79u1YuHChJ5V0e/fujWnTplnvt6RifoUfERERERERERHFD5/yGn4akVxz2XEcjBkzpsgKv7bk5OTgpZdewqJFi9C8eXOULx9+ndFJkyZ5PgYTTvgREREZSBd19lU0XxDc59d9onECwluwFNHVRoO9LgQhfoJTRnRtsRUB0sSp1JFbS9Fa7fZRitxKrEVxtf1IF6AXtxeOpyLmJh0Z6SLwkKJjFFWhef1U20sxcSneGc9FXPw3zDS25754k/kXpNet9Jo4LFwuI9EcoZUiwOr3XIEU2ZQe29Bec8VOaXv18dGwcJmCE7HfqLEQPQ4x0hvuv9fwU2wet3744Qecf/75AIANGzaE3RbNqC8n/IiIiIiIiIiIyBr1NfzieMZvyZIl0R6CESf8iIiIiIiIiIjIHh+4cj3KOOFnwdrW1xjbz/r8nRM6juLadGUX1fanfTjf2L6hQ9dCba5rfoE3+uRd1T611l8uRPH85iXF/gRzu7QEOX3++8UbGBHFnMMjrjDfIMRn3FwhsirwoZxqe7Gqr0SKHYqRXt34RVK8yKuLtRwVazFaA3UMSl3x0FblxBiL0EosRGuL2l5kK6pskmh+nTispxeTfN1mqLbPmXK9sd09ZI77Hb7vSmN76GDh2GqFZz5RjSVa3MPmyK1YFVuinCyQoruO9JorJ3wdFs6DoYPmKG5Qiu5mZJvbzc36q2jEEE10Mxa5IfNzLRg0t4fyCj8o2Tlx8ECdSI4jX8KilGnXrl2R0d3Fixcb26dMmaLeV79+/SIuPMIJPyIiIiIiIiIissfnAImK62RG8Vp3JXXeeeeF/Ts3Nxdr1qzBDz/8gD59+oi/N2TIENSqVQt+f2THadu2bfjTn/7ECT8iIiIiIiIiIjrxHJ8DR7NKN37n+/Dkk08a28eMGYODBw8W+burVq3CKaecEtF+Ip3oO6pUTfj9cvWfjO2hPPMzJy9HWJ4rLNs9Y7Euhvr9xeZY6dlfeBtn1QoKx0e6wKYpuguY47vSsff62DiONoZjbq+/gNFdotLi4ODLje1ShEOK1fgTzDGl5DHm84UU7XKypNiRULlPYCtmKUZ0hQ9qcpVRS3EWbaxU7MfDiFHUKh4qI3GeR4C10dqSV0IskpePuZb0+hHihbzWUekQ3H3E2J780AJj+95bOxnbQ6HCKz4O9zJfhkK6jE7aKx8a2yVHxpi/T/krBVT9iFVrDwtVTIXLZajf46TXnDLqK1ZaNsSsASDrkHl1TjDXvF/pu4eqwEERTN+FtH1rI7q2Ysfa/Ur3S/t9UJoDyBNiuqbt83IZ6Q3jwE6F6Th2yy234MILL8TEiRONt48ePRoVKlSIuL+//vWvqFq1asTbl6oJPyIiIiIiIiIiijKfU+b/kLVixQqUKydfz3v06NGq/kaOHKnanhN+RERERERERERkj7ZoRxzPDXbr1i3s367rYseOHVi1ahXuv//+In/3yJEjWLRoEdq1a1cospuZmYnPPvsMnTp1QiCgW2kNlLIJv9wsYUm2sGRaWrYrRVylGKqUrDl3hTme+l1Lcz8SqR9bpAiAKxRylCrs/nRZ4fslHRup/dsW5rjw+V+9Z/4FwemLzNtL1Xul54LpPgH6eDcRlcx/bjFXMJQqb5vjIOa4jXTpAenc6E8UTmBCZNhXIdHYLl3TxFqFV+EDlngtFVuRXo9FJd6p3afH7EWDtceylEZxbcXWDds70kW4lbFDii9SdFdy5EDkF7U/de4H2uEY7RKiwckVhWitENGVXuc5B83P8Wwh+pqXY36vlD6ja0mfF3wJ0iUJhO+JueaVOkEhqayljd1KMVpNpFeK0OrHYqcfKYor9eMXHkOf8nRa5e8Ldb9gkJyZCcytVOJ+Sg2fY+9SLzGuUqXwx93n86FRo0Z48MEH0bFjxyJ/d+rUqXjvvffQtWvhuZDU1FRMmTIF27Ztw6BBg9Tj4qcKIiIiIiIiIiKyxnG0fyCO3yV+M2bMKPbvvvrqq0WuAhwyZAgefPBBTvgREREREREREVGUOcpr+MXvfF+YrKwsvPHGGzh06BA6dOiAhg0bFrn9zz//jHPPPVe8/ZxzzsHPP/9crLHEzIRfdnY2srOzC/6dmZkJAPi2zY2o4A9f4u0TVr0nJpifIT7lhSLzcs3LgoPCknVp+6/P72IejzDLLd0viRQxlu7vWZ+/Y2yXIrpa8RBzzTEXTRNpCyESlXZSlW5bpDi+FAHSVGCTIrraGE76fHPFQyl27GQIcSFh6NJlKCTSX07luLN5B7aq60m0Vfe8JsW1qCi6itZef3LXPmel56AY9ZO2TzCfNIzVPqVqvER/YCOmK70/yzFIc4T2cKb566H0esvLMb/Oc7PNvyB9Fs/Ns/Me4RfeExMShffKKL332aosK/VjOn9J8WXpXC33LfSijOLKx0Z6rKT4tbl/4eMOqs342HwD2edDqS/acc899yAnJweTJ08GAOTk5OCiiy7CunXrkJKSghEjRmDRokVo2bKl2EdeXh52796NOnXqGG/fvXs38vKKd92AmPkUMmHCBFSqVKngp3bt2tEeEhERERERERERaf23aEekP/Howw8/RPv27Qv+/eqrr2Lr1q34+eefsW/fPtxwww14+OGHi+zjrLPOwieffCLevmjRIpx11lnFGl/MTPiNHDkSGRkZBT/btm2L9pCIiIiIiIiIiEjL7wMS/ZH/xOGc39atW9G4ceOCfy9cuBDXX3896tatC8dxcPfdd2P16tVF9tG/f3889NBDeP/99wvdNn/+fDz88MPo379/scYXM5HeQCBgLDPs80cedRWXggvt0pJvKbobEqrWSu2SkFCFTlp2vKq5eYl+IKB7RUjVgb2uAhxLjhwxH2TtY0hUVolVvT2Ov2cdFKqwWxiPFO0887N3jO1S9W6f3xyPEvcrjF0iRWWk6nReV+PTshWb0sadJNrjb4OtsXv9WHlNG+/WRNaKoq3SKVZ+FM4vCTDckC1UPM0S2hPNkZ3c5280tife+YZ5MFTmZB8WorXC9yCp+q32cjbSpY3ycs3PZanYt7aQp3QJI+m9RntJJVuXYJK+b8rvibpLVInxWlOkV3gu2KvGK0WDpXOssL3wXhmSjqV0rha+c2/vfpWx3VYFbPofxwc4ikiv48TfjJ/P54P7h+v0fPnll2EFOCpXrox9+/YV2cf//d//4fPPP0fXrl1xxhlnoFGjRnAcBz/++CM2bNiA7t274//+7/+KN75i/RYREREREREREZGJ4wA+xU8cOuOMMzB//nwAwNq1a7F161a0a9eu4PYtW7YgLS3tuP288sormDNnDk4//XRs2LABP/30Exo1aoTXX38dr7/+erHHFzMr/IiIiIiIiIiIqBRwUCaKdvTo0QMLFizA2rVrcdVVVyE9Pb3g9g8++AAXXnhhRH11794d3bt3tzq+mJ/wO2/xG0hNTY32MAAAX55rrrobkiLAyiXxYkRESIkJK+XhF/rJzjbfsOT0zsb2rMPm7TVVtLru/CjibU+EC7+dH+0hEMU1qaq3tmq4dGkDyZGDukswSBEjE+m8IJ3ztXEemTKOKMaLzO22Ktdr2aqcKm+v61+iiX17HaG1VZVRSxuJlWjHo42V26oIqY19ucL5RYr6whDpTYD5w5oUTZM4ibz2CBXt993Cc014fmu/p9givZ6ly+vI71m6irPS9zXhJSpX6Va+dqVLCYjbi+/1uktUmY6zT8hNa2LBgHz+ks/J0uVXpMssmMcjvWVJ7+dB4bkgXdJjc5c/GdtDeebt83ILH7iDebnmwZRVjrIYRxzODV533XX44IMPsGDBAnTs2BF//vOfw25PSUnBwIEDI+orMzPT2O44DgKBAJKSktTji/kJPyIiIiIiIiIiiiM+R3+Bzjh0+eWX4/LLLzfeNnr06Ij7qVy5cpHXMaxVqxb69u2L0aNHwxfhX9g54UdERERERERERPb4UOojvTbNnDkTo0aNQt++fXHhhRfCdV2sXLkSs2bNwt/+9jfs3r0bEydORCAQwF//+teI+uSEn0KeWOXKTiRGWsOqiaYBQI64dF9bzc7cLkWGiajsEqsAZuvOR8vPNscppPOgVO3PuE/h3PjpaeZqbV7TRmulP5DaqlRoizbyrI9H6fr3khSl0lM+hsrnjrUKyZYqPGsrTofEuJm53S98upViX661T8OmAZl3mgBz7Es6pUlVDg//paOxPfeQ+VhWemGRsAeKF++c3MnYLp0XxPcOS1VotaQosTQe8dJJ0nlH+Lxg63IWfnV1cO35WhclFquPG7ZPFC4TpX2vkSPAQj9C/DooRGUlrrI6sObSHQCQPv993S8YZGZmApUqlbif0sJRR3rL9uTgrFmz8MQTT4Rdx69r1644++yz8eKLL+LTTz9FnTp1MG7cuIgn/Er/+koiIiIiIiIiIjpxfE7+Cr9If8q4FStWoGnTpoXamzZtihUrVgAALrnkEmzdujXiPrnCT+GStbpZf6kYhsz8V4tL1i5Q9bLsLOGCo8qViOJfkoRp4it//VDVPxGVHjlZupV82cLKP2kln9SuXblsErUVb4oCSEBR45T+ui+Nx9v7q71Ui9fjEfdr4U+etp47tlZFavvRrlD0ehWIRLuSLyi8tvxCIRtpFYhY1EB1TXbz4F3XPMaEkLlzJ1EYu3RuDJr3u/Va82fEXzcam9Hq+5KveKHie7Ny4RWcYjEs5Uq42Evy2CqSIdxg6T1XqPEhnx+F4ym/V9opUmLaXk5F2NmnTyqSId1X4TkrnZO17x3Se0Sdt3leO2Ec5E/6UURq1aqFadOm4ZFHHglrnzZtGmrXrg0A2LNnD6pUqRJxn5zwIyIiIiIiIiIiaxyfD06i4q+RZXxucOLEibjhhhvw4Ycf4oILLoDjOFi5ciV++uknvPnmmwCAlStX4sYbb4y4T074ERERERERERGRPT6UqRV+b775JubOnYutW7ciJycn7LZvv/32uL/ftWtXrF+/Hi+88AI2bNgA13Vx5ZVX4p133kG9evUAAHfeeadqTJzw81C7Dboori3a6HFZMsPX3tjeL/TpCR4JUely5Ig5fyFFcXOyzdvnitFd3Xg0cU3Pi0AI+R9t9NVW3EmO6JjZOj62Isle00SMtRdv1+5TPgbai7qbe8mz1I8UAbQVKxdqfIikGJd8CQDla0j69GxI40rRNCnm5wr5S0eIEbsh89ili+EnBMw7bvX9B8b2ORU6GNtvOhjfxT9mJVyu2j5BiFRrSc/BXtmfCNtH3od8vtCde0NB89ZysQ1pv3aoL1Wg/rwgRKSFSyHJ4/Euiluc7U3nWemxtff5Ijrk9xpbhTWp2BxHd5KI46IdU6ZMwahRo9CnTx+8++676NevHzZt2oSVK1di0KBBEfdTr169QpHekmDRDiIiIiIiIiIissfx5U/4RfoTx5577jlMnToVzzzzDJKSkjBixAgsWrQId911FzIyMiLu55///CduueUWtGrVCtu3bwcAvPzyy1i2bFmxxhXfR5WIiIiIiIiIiGLL0aIdkf4off755+jSpQtq1qwJx3HwzjvvhN3uui7GjBmDmjVrIjk5GW3btsXatWvt3LdjbN26Fa1atQIAJCcn48CBAwCAXr164fXXX4+oj7feegudOnVCcnIyvv32W2RnZwMADhw4gPHjxxdrXIz0kto7J3cytpuW+nfb87HHo7GDUV+iksk6LER0hap4YtVdZTVxiSm2oq1s6DWp0p9EG+/UEmOWyoHKUeXoRIbUkWTDc9ZWtUaJvoqj0I9wX6X+1VE2qZqtsgpoorkZUmTNnyBUchSeOlKcVST0r436mipRhoTIrV+o0htSVhIVxyIcHJ8QQ19/+dXG9pQK5gcxXj43vRwwR3c9v5SDkjhOw2vUbylSKsc7dbT96Cuza18TdvqPlzirl8QYt/L1I1bdFfrRVmZn1d0Ypo30Kh06dAjnnnsu+vXrh+uuu67Q7Y899hgmTZqEmTNn4vTTT8fDDz+MDh06YP369ahYsaLVsVSvXh179uxB3bp1UbduXXz55Zc499xzsXnzZrjCe/6xHn74Ybzwwgvo3bs35syZU9DeqlUrPPjgg8UaFyf8iIiIiIiIiIjIHo+v4XfllVfiyiuvNN7mui6eeuopjBo1Ct26dQMAzJo1C2lpaXjttddwxx13qPZ1PJdddhnmz5+P888/H7feeiuGDh2KN998E6tWrSrY//GsX78erVu3LtSempqK/fv3F2tcnPAjIiIiIiIiIiJ7HH1UNycnB5mZmWFtgUAAgUBA1c/mzZuxc+dOdOzYMayfNm3aYPny5dYn/KZOnYrQf5fFDhgwAFWrVsWyZcvQpUsXDBgwIKI+atSogY0bNxZU5D1q2bJlqF+/frHGxQk/Urtmtzmm+2qyuZJbLJGiJlI0RWq3RRrPvJPMsWlJvESnKf69V/0KY7sUARSju8oqejZoo7vaBILX98lWIsJWtFkajz4mFnmFwaJI8Vd9hWdTZUNdtUa5mqWdyJ18bHTRVK+rfYr7tRT7lh5an9CPNurrCvFXKaZrGqdUJTKkjR0LpKicJBg071fqp3x584OVIVStjZeob6zRVU+1Vd3VDvV7pXg+lc5TdvYrvUdoq5JHi1iJNgrRY/ExFMYiR3SFfoR2R1uynaKvGJHe1157DZ06hX8XHj16NMaMGaPqZ+fOnQCAtLS0sPa0tDRs2bJF1VckfD4ffH+4r927d0f37t1Vfdxxxx24++67MX36dDiOg99++w0rVqzA8OHD8cADDxRrXJzwIyIiIiIiIiIie9SRXqBnz56YMmVKWLN2dV/4EMInol3XLdRmyz//+U+8+OKL2LRpE958802ceuqpePnll5Geno5LLrnkuL8/YsQIZGRkoF27dsjKykLr1q0RCAQwfPhwDB48uFhjYpVeIiIiIiIiIiKyx+8DEvyR/8BBUlISUlNTw36KM+FXvXp1AP9b6XfUrl27Cq36s+GPFXZXr15d7Aq748aNw++//46vv/4aX375JXbv3o2HHnqo2OPiCj+yJie78Jr7eIl2eD2eORXMcWcpuitG5YRYw5uVOxrbr9+/8LhjIzLRxsrl6G78xi+iETsuio1oan4/2hinMB513FTZv3KctsYTNOxXGxfWRndtVZWU+jHdJ6CoKsB2xi89VtJ4pH6k80uCECuVXiraNJg0fimeZtqvtK2WK8SIpSiuFDsOCZHe3GxzP4nCMS4vVO89kGF+IcbL58FYYz6vCa9nS+der2nPyR4W+CwWMQIsVisXKnUrty+NxKivcCmE2vMWeDga8oTHVXqLkp6ejurVq2PRokVo2rQpgPzrAy5duhSPPvqo9f3ZrLCbkpKC5s2bWxkXJ/yIiIiIiIiIiMgqVXxWOd998OBBbNy4seDfmzdvxpo1a1C1alXUqVMHQ4YMwfjx49GwYUM0bNgQ48ePR0pKCnr27KnbUQSKW2E30gq+ADBv3jz1uIo94ee6+TPvXuWfiYiIiIiIiIgoDjk+T1f4rVq1Cu3atSv497BhwwAAffr0wcyZMzFixAgcOXIEAwcOxL59+9CiRQssXLgQFStWtD6W4lbYrVSpUsF/u66Lt99+G5UqVSpY4ffNN99g//79qonBP1JP+E2bNg1PPvkkfv75ZwBAw4YNMWTIENx2223FGgCVHqZYhtdVbuNFlZPMLzUpgpabJ+WOdDGo0hj1tVUN+uYji6z04zXp/vqV1eNsVXGTYpZBdWXWE0+OiJbWP1zp8ov6eKrUj53IsMxW/NXMFKcKCsdGjvpqo7va6Ht0qu7aei7YigxLUV8pEicdBykWGxT2q4npSlUlXVdZMVgao1DtV6qiKX2+kI6lJBAQHpMU88HJNlz25USQo/52+pfei6Pxnijv087rOeaitXESfZVei/aqLWu2t9O3fMkQcy/SU0c6rzG6W4qoI72613Xbtm0LFqKZd+9gzJgx6gq/xVHcCrszZswo+O97770X3bt3xwsvvAD/f99ggsEgBg4ciNTU1GKNSzXhd//99+PJJ5/En//8Z7Rs2RIAsGLFCgwdOhS//PILHn744WINgoiIiIiIiIiISgkfgFL7h/VwNirsTp8+HcuWLSuY7AMAv9+PYcOGoVWrVnj88cfV41JN+D3//PP4+9//jh49ehS0de3aFeeccw7+/Oc/c8KPiIiIiIiIiKis067wi/O5wXHjxmHUqFFYt24dQqEQGjdujAoVKkT8+3l5efjxxx/RqFGjsPYff/wRoWJWE1RN+AWDQWO1kGbNmiEvL69YAzgqOzu7oHQxAGRmZpaoP4ptpbVa25fndjG2JydLERddhCZXaBdjXELcIV6ivrbiuyZS5eSbDsZH1FeK7kjxIm21XG0cKb6r8cbv2Ium+9Rk67mjjfrI/QjjEeJR0vlOjipH3r/Ut/dRX4mdCLC66q5YEVZ4TJTHXuxfrGZpbocQW/VHZZVByatEA3I0VfoCIG2fJxybXCHSq436So+tVO3Xa9rornT+ks6P0mcG6fOLvoJ37NCeS72mfS+wtl/leTyWotDSeUH7XpArbJ8o9JKXY+4n54j54Hzboqux/fyv3hP2QDHLccrMCr+jjlbY3bJlC7Zu3YozzjgDvghPBP369UP//v2xceNGXHTRRQCAL7/8Eo888gj69etXrPGoJvxuueUWPP/885g0aVJY+9SpU3HzzTcXawBHTZgwAWPHji1RH0REREREREREFGUeX8MvFsyaNQv79u3DkCFDCtr+7//+D9OmTQMANGrUCB9//DFq16593L4mTpyI6tWr48knn8SOHTsA5BcDGTFiBP7yl78Ua3zqvzlMmzYNTZo0wW233YbbbrsNTZo0wd///nf4fD4MGzas4Edr5MiRyMjIKPjZtm2bug8iIiIiIiIiIoqyoxN+kf7EoRdeeCGs0u5HH32EGTNmYPbs2Vi5ciUqV64c8cI2n8+HESNGYPv27di/fz/279+P7du3Y8SIEWHX9dNQrfD74YcfcP755wMANm3aBAA4+eSTcfLJJ+OHH34o2M5x9DOzgUAAgUBA/XsU26SIrhTpjZeo79fnm6O7UnRErhgoxRHM/fiVcScxfhFjlc000d1inuvKDK8rA0pRll7ZnxjbXw5c7uVwqAjaqsTamLit/driddTXS9pj5nXlUYkU+5QizOpqwmLs29ZzytvYpI3LA0jPS+n5LcXKpe2lSK8cGdbtV0t6/9e+10i022tJlwfRnjf90mUDFO/p0fp8ZOOyCYD352r5OauM6EbrOCur/ZpeQ+JjYunyC9IlALSXGJDvK8Udnw9IULxoYusrakQ2bNgQdtm7d999F127di1IwI4fP75YcdziVuU9lmrCb8mSJVZ2SkREREREREREpVQZiPQeOXIkbHJu+fLl6N+/f8G/69evj507d4q/f/755+PTTz9FlSpVItrfJZdcgjfeeAOnnnpqRNurJvyO2rhxIzZt2oTWrVsjOTkZrusWa1UfUaz4/IzOxvakgPkEJf11T74Yrpm40k74i5e0mkH+a6PuL2TvnNzJ2H7N7o9V/Ui0RTi8/Gu1dCznppoLmki6Z3pb6OTmI7oLgntNOm5laSVftFZXRYutlX/xTLsiRVvMw2vai8zLKw6F/qX3PmG1h71V5h6v2PNwlYm2iI30mHi9Mk86BvoiPNIKNt0xnpWge6/RrrrUJkpsFfqSPnvYWHGs7aOYhSAt9GNn5Z+2H1v0RZnsFHGSCv3Y4BeSSFpiUSDh+462WBDFMAe6oh1xOKVUt25dfPPNN6hbty5+//13rF27FpdccknB7Tt37gyL/B5rzZo1+O6771C1atWI9rdmzZqwYrfHo5rw27NnD7p3744lS5bAcRz8/PPPqF+/Pm677TZUrlwZTzzxhKY7IiIiIiIiIiIqbXzaFX7xp3fv3hg0aBDWrl2LxYsX44wzzkCzZs0Kbl++fDmaNGlSZB/t27eH60Y20a1daKea8Bs6dCgSExOxdetWnHnmmQXtN954I4YOHcoJPyIiIiIiIiKiMs8HOKV7wu/ee+/F4cOHMW/ePFSvXh3/+Mc/wm7/4osv0KNHD/H3N2/erN5nrVq1It5WNeG3cOFCfPzxx4V20LBhQ2zZskXTFZVx2siEVMxDq2KqOYNW5STzSyEh0U4MSqKNC9m4IHgs0kQDvb7wf7zwOk6pLf4hFhcohc/Z0hrdjTWxVFRDYivqK9O+fnTnR+17kLXnvhDjihbt5TjEfiyc72xFbsXtLcU1bZHfy6RiZ+atxRi6FAcVHnNbl6fQFgvx8rymj7J6XdxGub2lIh/6CK2dyK22n1j63JRnqx8hopvLoh2ln+MoJ/zi73uez+fDQw89hIceesh4+7ETgMeqW7euF8MqoJrwO3ToEFJSUgq1//7776ywS0RERERERERExSjaQbapjn7r1q0xe/bsgn87joNQKITHH38c7dq1sz44IiIiIiIiIiKKN/9d4RfxT7THW/qoVvg9/vjjaNu2LVatWoWcnByMGDECa9euxd69e/HFF194NUYiz0mxAG18VIoRSNWppO2lqIkU9bG19F06DgtqXmFs7/zbR6r+tTFUL+O7tqrWzalgrpYrRWKlqrta+uem7jkiPVbRivp6fX/Je3LlV48rJ1qLg2nYef7pK79b2a1MyHd5XX1YH4X2VizFzWItoiuR33PtRHf92thqom5zLemzga2qvjZ02/OxsX3eSZ2s9C+ee8XH1twuVwe3dckDXQVs6TwrnQfj4fIUXpOrjMfOuZQ8oo70km2qo9+4cWP861//woUXXogOHTrg0KFD6NatG1avXo3TTjvNqzESEREREREREVHcUK7wi7MlfpmZmdEewnGpVvgBQPXq1TF27FgvxkJERERERERERPHO5wP86imnuFGlShXs2LEDp5xyCi677DLMmzcPlStXLlGf+/fvx5tvvolNmzbhnnvuQdWqVfHtt98iLS0Np556qrq/iI7+3r17cfjw4bDqvGvXrsXEiRNx6NAhXHPNNejZs6d650SR0lb11Vp+9p+M7dKyfbHalNAubW+rapW9SI8QlVFG7qQ4iI3ontcRCDFmLcQRtBHXV5PNMR8p6ivFgqJVrdjrqK8tNvovrbFgW9Fa6THXRvf1x9nOc0c+Dhb6tlT1VVtd09ZzVn3JA0v3N17EUow2Wu+JEu1zVvqcJcdB7bz+9ZVrdaTxv1m5Y8n7Vj4m1+83R3clUtTXa3NTzcdG/RxURoDl6K7ukiQh5WvR80swKETrsgza16GtSwzRCVTKq/RWqFABe/bswSmnnILPPvsMubm5JervX//6Fy6//HJUqlQJv/zyC26//XZUrVoVb7/9NrZs2RJWTyNSEU34DRo0CDVq1MCkSZMAALt27cKll16KmjVr4rTTTkPfvn0RDAbRq1cv9QCIiIiIiIiIiKg08ekm/OJrvg+XX3452rVrhzPPPBMAcO211yIpKcm47eLFi4/b37Bhw9C3b1889thjqFixYkH7lVdeWewFdhFN+H355ZeYMWNGwb9nz56NqlWrYs2aNUhISMDEiRPx7LPPcsKPiIiIiIiIiKisK+VFO1555RXMmjULmzZtwtKlS3HWWWchJSWl2P2tXLkSL774YqH2U089FTt37ixWnxFN+O3cuRPp6ekF/168eDGuvfZaJCTk/3rXrl0xYcKEYg2A6ET6+vwuxnYpIqKN4mrbs7PNa9zl6r1eRwzNx0Faii8trU9IFGIQMVSNSxsRkeKLtqrNStFdia3onjaKK8U1tVFfKcIsRZ6jwVaF4Xhh7355++fZoHAe0UaJJZpzg+cVhtXnF0v7VUbcYo3XMddoVNeM1rHXxg5tvc/HS3RXIsU7vawCfv3+hTY6j5rumebx24hBF4f2uWwrGizx9rzj7evEVmRYOi98WOtKY/uVv35oZ8dUfI5TqktSJycnY8CAAQCAVatW4dFHHy3RNfzKlStnLASyfv16nHzyycXqM6Kjn5qaiv379xf8++uvv8ZFF11U8G/HcZCdnV2sARARERERERERUenhwIHj+CP+ibtM7x8sWbKkYLLPdV24rv4PYFdffTUefPDBgmsBOo6DrVu34r777sN1111XrHFFNOF34YUXYsqUKQiFQnjzzTdx4MABXHbZZQW3b9iwAbVr1y7WAIiIiIiIiIiIqBRxfLqfODd79mycffbZSE5ORnJyMs455xy8/PLLEf/+xIkTsXv3bpxyyik4cuQI2rRpgwYNGqBixYoYN25cscYUUaT3oYcewuWXX45XXnkFeXl5+Otf/4oqVaoU3D5nzhy0adOmWAM4npWtuqO8PzGsLU+oYCpVSJWWZLff9EHJBkdxR1puLy2rt1WNV4ruSttHrwKgcL+kzZXRXTHW4GHUV3ssxepryuhFr+xPjO1SZFUbrfWatmqwRIpZSv3YqgJsQ2mN7notesctGn8Vjq34onS+i7U0jeeR2yjFOG3E1qJVgd2ahDgfv5J0vvNrq54rPqtoq8HGO1tRZSkaHC+XKvDy/K793C7RngO15zvtJQYWpV9lbO+wmXMAJ0wpv4bfH02aNAn3338/Bg8ejIsvvhiu6+KLL77AgAED8Pvvv2Po0KHH7SM1NRXLli3D4sWL8e233yIUCuH888/H5ZdfXuxxRTThd9555+HHH3/E8uXLUb16dbRo0SLs9ptuugmNGzcu9iCIiIiIiIiIiKi0UE74OfExAW/y9NNP4/nnn0fv3r0L2q6++mqcddZZGDNmzHEn/PLy8lCuXDmsWbMGl112WViitiQimvADgJNPPhlXX3218bbOnTtbGQwREREREREREcW5Ul6044927NiBVq1aFWpv1aoVduzYcdzfT0hIQN26dRG0HGuKeMIPAKZMmWJsdxwH5cqVQ4MGDdC6dWv4bZXKQ/5S+ZATvszYVvxPWuYr4fLf+LH87D+ptldHd6VYudAuVt0V22MtEqeM+kaBreiudI6VIrqzEoq/xNoLXkePtWy9HcRS1Jdik/TctxGRtPU8VseXtPEoZfzK6/4lXldsFLePwuNo63tOrMUObT2GEk3EtSheXjIEAEIhW3F86bJEhray8d3ZOika/M7JnU7wSOyycW6wFcWVzrFev/eJ/QjH5vMzzIuVbLyHHgrmqvoo9Rwf4FNNOcWtBg0aYO7cufjrX/8a1v7GG2+gYcOGEfXxt7/9DSNHjsQrr7yCqlWrWhmX6ug/+eST2L17Nw4fPowqVarAdV3s378fKSkpqFChAnbt2oX69etjyZIlLOJBRERERERERFQWqa/hF1t/3NIYO3YsbrzxRnz++ee4+OKL4TgOli1bhk8//RRz586NqI8pU6Zg48aNqFmzJurWrYvy5cuH3f7tt9+qx6Wa8Bs/fjymTp2Kl156CaeddhoAYOPGjbjjjjvwf//3f7j44otx0003YejQoXjzzTfVgyEiIiIiIiIiojinjfQWY77vueeew+OPP44dO3bgrLPOwlNPPYVLL71U31EJXXfddfjqq6/w5JNP4p133oHrumjcuDG+/vprNG3aNKI+rrnmGuvjUk34/e1vf8Nbb71VMNkH5C9dnDhxIq677jr8+9//xmOPPYbrrrvO2gBDIeDY1fLycltdpSxbcQGKHim6K0ZlhWiH9FyQ+pEiwNp2bfzSVnxRiqfJ4xGq64oRumIMyti/jT500V3JywFzdLdPnjkSK21vqwKjVEVX2q8U3dX2byvqqz0OXsbcWY3XrnipMqqJ6cZLFDdaFRW9jsp6fTzVx0Ho38Z7n9cxZVuvT+1+tVVrJUGPz9emCC2gi9wWub3y86np0jLtN31o7oSK5ZrdHxvb36t+hbHd6zi7luoSA5bOF9K5LjFReo+w9B5n6fwovW4l/JxYEt5W6X3jjTcwZMgQPPfcc7j44ovx4osv4sorr8S6detQp04dz/YradasGV555ZVi//7o0aMtjiaf6ujv2LEDeXmFr9qVl5eHnTt3AgBq1qyJAwcO2BkdERERERERERHFl6OR3kh/lEv8Jk2ahFtvvRW33XYbzjzzTDz11FOoXbs2nn/+eW/uTxxSrfBr164d7rjjDrz00ksFyxJXr16NO++8s6Bs8Pfff4/09HRrA0wMOEiK+K8C8bGqgPS0K/kk4ko+4S+r4uowS6tDpb9USfuNVuEC/V+2TvxrMVp/fdOuqNOukJMe8zkVzP1oV/JJpP61xQsSEnR/7ZUvsK5b2W0ivU5srXgpa38BjtZKPot1wYy8LMhga2WY1I+tFXvyfi314/EKRa9Xk2hWydhaFSmtkIvWalLHZz7faRdyOI6d86Z2vz5h/FIRDldqd6XtzfuV+snJ1hWPo9jj9Qpo7X7N2wrtyveUBGkln/IYSP14fb6Tv/eZ+5FWFptWCuYEY2wJaLQVTOTZl5OTg2+++Qb33XdfWHvHjh2xfPlyT/bpNZ/PB8eRX9PFqeCrmvCbNm0aevXqhWbNmiExMRFA/uq+9u3bY9q0aQCAChUq4IknnlAPJDs7G9nZ2QX/zszMVPdBRERERERERETRpo/05uTkFJoLCgQCCAQCYW2///47gsEg0tLSwtrT0tIK0qfx5u233w77d25uLlavXo1Zs2Zh7NixxepTNeFXvXp1LFq0CD/99BM2bNgA13VxxhlnoFGjRgXbtGvXrlgDmTBhQrHvBBERERERERERxQgH6uDXa6+9hk6dOoW1jR49GmPGjDHv4pgVca7rFrlKLpZdffXVhdquv/56nHXWWXjjjTdw6623qvtUTfgddcYZZ+CMM84ozq+KRo4ciWHDhhX8OzMzE7Vr10b58n6UTwhfByxHvnS8vOgyFY8U3ZVIj5W0JFtamq69eKvYj3Lpuz6+aCYfB2+jINGI9Nm6T9p4tNfFNqQIrcTrY28roifGPqSYhfr8K8XiDW3C6+36/QuN7dr4dVmLBstFe7x9bkajeJF8+QVzH+I52dI5X46y2+pHUvJofenop+TRPelzh9fxP0m0ortSP1LkVr1fZT9+9XPHTPtdolzhS6QDAPJy+KUkWrru/Ei1/cd1rzS2e/95TbGtMrqrvgSA8rIP2uiu9ru79Pr3CzMgUuReivqbBPP4mv0j13Xhurrzas+ePTFlypSwtmNX9wFAtWrV4Pf7C63m27VrV6FVf9GQmZmJxYsXo1GjRjjzzDNL1FeLFi1w++23F+t3VRN+/fv3L/L26dOnF2sQgHmZJhERERERERERxRsXLnQXv09KSkJqampE2zVr1gyLFi3CtddeW9C+aNEi40o5r3Xv3h2tW7fG4MGDceTIETRv3hy//PILXNfFnDlzcN111xWr3yNHjuDpp59GrVq1ivX7qgm/ffv2hf07NzcXP/zwA/bv319QtIOIiIiIiIiIiMquEEIIuZpohm414LBhw9CrVy80b94cLVu2xNSpU7F161YMGDBAN1ALPv/8c4waNQpA/rX4XNfF/v37MWvWLDz88MMRTfhVqVIlLI7sui4OHDiAlJQUvPLKK8Ual2rC79iLCAJAKBTCwIEDUb9+/WIN4Hj8CS78Ce4xbXb6Fpf5C7GDnzt1NbY3/Pg9OwMqQ7TRXS05TiVsLywRl55qYhUq4TmVmydUd1Ku+tZWJdZGlW3RjlMjlqIRRZmb2tHY3j3THB+96aA56iv1I41z3kmdzDcoSVFciTSeRGU/iQl2HgAbsTgpfq2ljWv7hfNR7FXj9rYfia1zgO54elupXI5HC9tL72Xa9wh1xUNzu1+5X32lRaFd2K+QjpRjYsrLgEjPB9NnCelzgfg5QrxPyn6Uj5XXFaelCK1UpFeqcquNANuKfYsRYL/wuCRIUUJdxDjtlfePOzaKDZ22fOhp/5+edpVnfQfFc7judSV/75CqUJu3lj87Kl/nQhRXfb7TxKaZ6C3EtXSpBJMbb7wRe/bswYMPPogdO3agSZMm+OCDD1C3bl3P9inJyMhA1apVAQAfffQRrrvuOqSkpKBz58645557IurjySefDJvw8/l8OPnkk9GiRQtUqVKlWOMq8dSZz+fD0KFD0bZtW4wYMaKk3RERERERERERURzLv4Zf5H8VLM7U4MCBAzFw4MBi/KZdtWvXxooVK1C1alV89NFHmDNnDoD8lGy5cuUi6uOyyy5D7dq1jUVHtm7dijp16qjHZWUOetOmTcjLk/6eSkREREREREREZYer+l88GzJkCG6++WbUqlULNWvWRNu2bQHkR33PPvvsiPpIT0/H7t27C7Xv2bMH6enpxRqXaoXfH6voAvkztjt27MCCBQvQp0+fYg2gOGxVBtP2L8cFyGu2IlwJiUL/wh8epLiTvPRd6F+qBhmUqkHpnmvieJRxSom2MraXkV5xn8IYtRXGvKaN3EoR4HdONvejvb+2jpscfTPTxtDkGL1in8J9WnJ6Z2N7uw0LIu+8CFJcW3ouiI+J+hIA3sZQyxIp/qup9FsUbRVgmdePuXB5CuXlMoLC8ZHPI7pK9+J7rhRnVX4G0NwvufqlbiwSbUxZvk+6/WqjwbEXAVbu19J3AJ8QAU5IMrdnDCh8SYhKL9i53ATFl/abPjC2a6K+Xn9Wlt/7dBFdKepr71IFdi5bYzov2DpXlBauumhH/B6/gQMH4sILL8S2bdvQoUMH+P77xKlfvz4efvjhiPqQKhofPHgw4lWCx1JN+K1evTrs30czxU888cRxK/gSEREREREREVEZoIz0xrvmzZujefPmYW2dO5sXFvzR0YV1juPggQceQEpKSsFtwWAQX331Fc4777xijUk14bdkyZJi7YSIiIiIiIiIiMqG0hDVjVQwGMTMmTPx6aefYteuXQgdEytYvHix+LtHF9a5rovvv/8eSUlJBbclJSXh3HPPxfDhw4s1rhIX7di3bx9eeeUVTJs2DWvWrClpd4X4/G6h5e9eR269Xs5PMm10V1+JU7ekXFtFTyJWrRJegSGhqpTXtEvxpftlLZKsIcSXtXFkryPAYrxLeK59XPdKY3tyip0yYFKsPN6ZHkdt7PjzM8x/kWv9kznqu+wsc/Vx6TnYbc/HxvYFNa8wtkuvk7xcXcxSjDV6Hhm2w1a1YimOW5Zo413a5462f32lSInukgG2Ymh2+rATs9buV35sbY1ft71P2480TuGxDQn9+z3+LiFvb+dSDkTRZOvzRbRoorv57ZG1lW1lZ4Xf3XffjZkzZ6Jz585o0qSJsfCG5OjCun79+mHy5MlITU21Nq5iT/h98sknmDZtGt555x1Uq1YN3bp1szYoIiIiIiIiIiKKTy5QZlb4zZkzB3PnzsVVV0V+Xc1jzZgxw+KI8qkm/LZu3YoZM2ZgxowZOHjwIPbt24e5c+fiuuuusz4wIiIiIiIiIiKKR7qiHfE8OZiUlIQGDRqUuJ+VK1fiH//4B7Zu3YqcnJyw2+bNm6fuL6IJv7lz5+Kll17CF198gauuugqTJ0/GlVdeifLly+PMM89U71TDl+DCn+AWajPRLqEVIyjK5cjbupljX7Xn2anwWBq1+v59Y/uX53bxdL9iVTwpviRGx8zPwUQpVurx8m4rkVgA2iiRHJe1U3HSFLOSHxOhD0vH3lalaG0VWrEfS/fL1vGRInHaxyseSNFdsTql8NhK/ZRLNneUl6erbBoULg0gvW7Vr0+PH9t4jwZ5ydYxiLUq5hQ9tt7josURyvdqLwOkjdZK30mO/e5yvPFoHLrrcmN7+SmflLxzilnSZUZsnMflauK66tripZCUn33FarzS9sJ4EoTvZZqILqA7v/iEKqtlleu6YuVZ8y94Nxav/eUvf8HkyZPxzDPPqOK8fzRnzhz07t0bHTt2xKJFi9CxY0f8/PPP2LlzJ6699tpi9RnRhF/Pnj0xYsQIvPXWW6hYsWKxdkRERERERERERKWfixBCKIV//TdYtmwZlixZgg8//BBnnXUWEhMTw26PZHXe+PHj8eSTT2LQoEGoWLEiJk+ejPT0dNxxxx2oUaNGscYV0d+Z+vfvj+eeew5XXHEFXnjhBezbt69YOyMiIiIiIiIiotLN/W/Rjkh/4nmJX+XKlXHttdeiTZs2qFatGipVqhT2E4lNmzahc+f81byBQACHDh2C4zgYOnQopk6dWqxxRbTCb+rUqZg8eTLmzp2L6dOnY8iQIejUqRNc1y1Ubti2xICLxMRjqvQKy2ptRX0lUoEZN0oVVUsjbdVHbVU5fVVfXf/aar+2lLjcdrFZiu4KEUNTJFFbdVeqeGyrwmi0ori26CuzSv3YqGZpT7sNkV9SQYrWaulf5+ZjEyhnflB8QjVeKZomVu8VI8DmdpEQlZFoX7taHn8cKZViLRqsraRt671e7Ec7HkV1cO0xi7UInSSWonWAHK2VvjOIx9mvjO6K41TeX8P2TqJ54yOjzBeKTx73gblzikniZUPEc4auGrpx2yidXxITpO1152Qxiu83fzDQRv01cwwJufwwcqx4vi6fho2CG1WrVsWBAwcAAKeeeip++OEHnH322di/fz8OHz5crD4j/iiTnJyMPn36YOnSpfj+++/RuHFjpKWl4eKLL0bPnj2LdQFBIiIiIiIiIiIqXfKv4adZ4Ve2XXrppVi0aBEAoHv37rj77rtx++23o0ePHmjfvn2x+izWwqCGDRtiwoQJGDduHBYsWIBp06ahR48eyM7OLtYgiIiIiIiIiIiotHBVK/zifS3gm2++iblz5xor7H777bfH/f1nnnkGWVlZAICRI0ciMTERy5YtQ7du3XD//fcXa0wlSgL6fD506dIFXbp0wa5du0rSlSghEEJCYvhsr7jcVlhur122r1V12sd2OiI1KcIlxTUv+c5cHXhV867CHnSnnXipeGgrYmwrFhsKamK3uhixtpKwvYrH8U06buqIm/Bckx6vDpvN0aNPTzNHldpvKnlUKUGIlGhd9N18Y/vX50vVx3XxHKkKuBgZFCvRR+f1L73ObbF1PipL5wBthNYW9aUQLEV05e2l/er6MR1PW1UuJdGqfmkvcmenuq72sj5+7X6V/WsjxqqocqL0oMfHZ1Aqmq3PWZptpfOCFMW3db6Qq1nrXifaqtjauQHN5cQSfWXoQ0QE8qf7ysYxmTJlCkaNGoU+ffrg3XffRb9+/bBp0yasXLkSgwYNOu7v5+XlYf78+ejUqROA/Lm2ESNGYMSIESUa13En/N57772IOnIcB126SF9qiIiIiIiIiIiobHDhuvG+bi8yzz33HKZOnYoePXpg1qxZGDFiBOrXr48HHngAe/fuPe7vJyQk4M4778SPP/5odVzHnfC75pprIurIcRwEg/ZLLickuIVW+Gn/auZPNM8qi38NEC8szL+c2fLluebJYXk1kLBib615xZ6W+BfyOFmxp72otj3e7jeoWLETUp5+9KuTvO3fa+qCBsJ5UFt4QVot1X5T5EU18rf37qLj0sq8b1tIK391tAUB9EVvzP0nJJofK1vFLeRiO3b61+7X1vlIc3xi7XUea2ytJo9WcREbBTdirdiG1yv2vC62od2vrZV8topzSFTPceV558gYoTCVcC5Nfkj3/kx2ebkCWupbShDYOl+IK2Q9Pi/4hZkOWwVATSuOhVNOmaVf4Re/B3Dr1q1o1aoVgPz6F0eLb/Tq1QsXXXQRnnnmmeP20aJFC6xevRp169a1Nq7jTvh5XYWXiIiIiIiIiIhKD9dFmVnhV716dezZswd169ZF3bp18eWXX+Lcc8/F5s2bIz4GAwcOxF/+8hf8+uuvaNasGcqXLx92+znnnKMeV4mu4UdERERERERERBSu7FzD77LLLsP8+fNx/vnn49Zbb8XQoUPx5ptvYtWqVejWrVtEfdx4440AgLvuuqugzXEcuK5b7EStasLvwQcfLPL2Bx54QD2A43F8hZfRSst5tRfg9AXMNzjlzIfFCSivGk1iJE57AW5bUa3vWl5tbNdGYm3Fi7S8jhjbul/aKEsRPRVqca0VHFBuL0RftP1oYspF0UaMxX7U45GivuatpbhsPDj/q8iuYXs8zVeZ+5HOR9pCJ/JzyuMiGcJjLj2nbD1nJV7Ga72OQZNd2vdKTy+Sr4zoavuJl+iu9qL60YruSkVBtNFD+Xia26VzjHFz4boJbq5wSSLl56Yjo8xFspLHeXdpDfofqVCGRHtu0OzT1nlBLKyp7cfDYhtF7ldRdMjH9/kwQRfIVZyD4vnoTZ06tSAdO2DAAFStWhXLli1Dly5dMGDAgIj62Lx5s/VxqSb83n777bB/5+bmYvPmzUhISMBpp53myYQfERERERERERHFDxfKy47G8Yyfz+eD7w+zz927d0f37t1Vfdi8dt9Rqr9prl69Ouznhx9+wI4dO9C+fXsMHTrU+uCIiIiIiIiIiCi+uK6DkOInjuf7AAD//Oc/ccstt6Bly5bYvn07AODll1/GsmXLIu7j5ZdfxsUXX4yaNWtiy5YtAICnnnoK7777brHGVOJr+KWmpuLBBx/En/70J/Tq1auk3RXi+NxCy4bFZcTqSlnC8lJhCbSTaF4znTPlemN70l1vCvstnb6/uHA8TVxOnqjrO2SrQp+FintF9aOlj77qtpeWpovbC68hLe1+JdISei+FhGXnrhC3cV3d9tqYpRRhthdJ1o3n3BXFe7OhwqRjuf5yc9RXfA7aOkFaIj03vY6zRqPGmDai73WsWdwvqwkXyVo1YcXlSrRRXHmfsVVdVxvR8zq6K/WvH6euf1tVeo3nfeH17Eivc+kzrqXnPRXP2tbXGNsDAVvno8L9xMt5wVZ0V/t61o6Tji/kigXBS5233noLvXr1ws0334zVq1cjOzsbAHDgwAGMHz8eH3xw/MsiPP/883jggQcwZMgQjBs3ruCafZUrV8ZTTz2Fq682f0coipWn7/79+5GRkVGiPrKzs5GZmRn2Q0RERERERERE8SU/0hv5Cr949vDDD+OFF17A3//+dyQm/m91U6tWrfDtt99G1MfTTz+Nv//97xg1ahT8/v/9FbF58+b4/vvvizUu1Qq/KVOmhP3bdV3s2LEDL7/8Mq644opiDeCoCRMmYOzYsSXqg4iIiIiIiIiIost1ddfwi+fFgOvXr0fr1q0LtaempmL//v0R9bF582Y0bdq0UHsgEMChQ4eKNS7VhN+TTz4Z9m+fz4eTTz4Zffr0wciRI4s1gKNGjhyJYcOGFfw7MzMTtWvXhuOLXkXUQsQl8bEywOgyLh0X4i0JYqVP4WVe4vD5f7sRqlBpoxfaJe7afrRsRV/VEWBLx03D+5ebrhqvHLPURnfN7bYixpJGnzCiG2sSA+YHN5gnPRfsvA615xHtc9Nr2ue+lX1aqhoerf61ohGbjndeXwJE/T4cYxFdexE9O9WBpWqitvrXXn7I1I8jRXG17cL3GrF/skp67viF7zzS+4Hm3GDre0q8nBfU1bgt7Jfx33AhOAjG+cq9SNWoUQMbN25EvXr1wtqXLVuG+vXrR9RHeno61qxZU6h4x4cffojGjRsXa1yqaRQvygQfFQgEEAgEPOufiIiIiIiIiIi85wIoK38rvOOOO3D33Xdj+vTpcBwHv/32G1asWIHhw4fjgQceiKiPe+65B4MGDUJWVhZc18XXX3+N119/HRMmTMBLL71UrHFFNOHXrVu343eUkIDq1aujQ4cO6NKlS7EGQ0RERERERERE8S0/0qtZ4Re/qwFHjBiBjIwMtGvXDllZWWjdujUCgQCGDx+OwYMHR9RHv379kJeXhxEjRuDw4cPo2bMnTj31VEyePBk33XRTscYV0YRfpUqVjrtNKBTCzz//jJdeegnDhw/Hgw8+WKwBHctcpde8rVx5SLlTKR5VVkrMFFNCknfHRxsRk6pc+oRnvNcRF4nXkVhtlChaVXo1xyFaS+W1z0EpeqHuR3iTDOZ5u1+KnvoL5qu2/3dn8x/ZbEVoJPFS+TUenvuxFt2N1jHTVg23xcv7G61Ld9h6H7YVuZP3a2s8sRXdlasJKz8/mmK3fvPGjnTpISm6m2i+7g4jvUX77aarjO152ebHJS/HfDz9wmWGZHbiqeZtbUV9he1L6XnBdH99cfLZ6ETJL9qh2D7OD9+4ceMwatQorFu3DqFQCI0bN0aFChVUfdx+++24/fbb8fvvvyMUCuGUU04p0ZgimvCbMWNGxB0uWLAAd955p7UJPyIiIiIiIiIiih9B10FujPxRc9y4cViwYAHWrFmDpKQkYyGNrVu3YtCgQVi8eDGSk5PRs2dPTJw4EUlJSRHvJyUlBc2bNy/RWHft2oX169fDcRw4joOTTz652H1ZKoXwPxdffHGJ7yAREREREREREcUn13VUkV4vF/jl5OTghhtuQMuWLTFt2rRCtweDQXTu3Bknn3wyli1bhj179qBPnz5wXRdPP/202G///v0j2v/06dOPu01mZiYGDRqE119/HaH/Vkrz+/248cYb8eyzz0aUvD2W9Qm/ypUrY968edb6c3yFl91ql8mL1XWFJfESqRKikxtU9RPvfu7U1dhuqshrq3qsFPPZdKU5ypaQaO7H6+pREm1kWOzHUpTY1uMiUd8vxVL/WKt+ZSuiq63Sa6qKDQAh4XTE6pqll1yFTthe+x4qEIqwW+P1az0eor5eK61R4mhUbAZ051mvK87bitDJ23v7ecRGtcz8dt35UXu/bEV3nURpB4XbxW2FdjG6W87rs3h8293nCmO7T4g8S89N6XJC0nu3xMvL9MTa61/er67/aJwvtJ+lSruQGztXRRs7diwAYObMmcbbFy5ciHXr1mHbtm2oWbMmAOCJJ55A3759MW7cOKSmphp/b+bMmahbty6aNm0Kt4SZ5Ntuuw1r1qzBggUL0LJlSziOg+XLl+Puu+/G7bffjrlz56r7tD7hR0REREREREREZVf+Nfxi64+LkhUrVqBJkyYFk30A0KlTJ2RnZ+Obb75Bu3btjL83YMAAzJkzB//+97/Rv39/3HLLLahatWqxxrBgwQJ8/PHHuOSSS8LG8Pe//x1XXGH+I8TxxNhaGSIiIiIiIiIiimf5VXoj/3GRH73NzMwM+8nOzvZ8rDt37kRaWlpYW5UqVZCUlISdO3eKv/fcc89hx44duPfeezF//nzUrl0b3bt3x8cff6xe8XfSSScZY7uVKlVClSpVVH0dFfMr/Px+t9ByeXEZsVDtyFq1qaA5qyFFfXOmXG9sT7rrTTvjiZKEpMgzK7YiWX6xMpWwX3FZvZ0l6BJbS9NtLUGXeB4l8niJvqpvS5WHJdromBRZk6J1wTwhupug257xxdIrIdHbapPxUL073sVatDZa4iXSGw/nU1vvq9GKBqvji5aiwRLteVOsjCt9J5Fit6Z+pEipMrorRYPj/XuKLfJzSqi6myS851q6KpnX8VdjHx6//uV+7JwXtP3bOF9Il00pq1woI70u8Nprr6FTp05hzaNHj8aYMWMKbT5mzJiCqK5k5cqVEdeYcJzCr2/XdY3tfxQIBNCjRw/06NEDW7ZswcyZMzFw4EDk5uZi3bp1EVfq/dvf/oZhw4Zh9uzZqFGjBoD8ich77rkH999/f0R9HCvmJ/yIiIiIiIiIiCh+hJRFOwCgZ8+emDJlSlhbIBAwbjt48GDcdNNNRfZXr169iPZbvXp1fPXVV2Ft+/btQ25ubqGVf0U5WlnXdd2CwhuRev7557Fx40bUrVsXderUAZBfOTgQCGD37t148cUXC7b99ttvI+qTE35ERERERERERGRN/jX8dNsnJSWJBTKOVa1aNVSrVq1YYztWy5YtMW7cOOzYsaNgdd3ChQsRCATQrFmzIn83Ozsb8+bNw/Tp07Fs2TL86U9/wjPPPIMrrrgCPsXS1GuuuaYkd8Eo5if8fEmAr9CErnKZvFCNV6xyJfQjVunNEWZuhX7iJeq7rVtnY7u2Aq55WztLxMWIRYxFYm3dXzGqbOl+WYvWSpWxxf16GL/yK6vQCdF9W6TziLTfkBDRzcsV2nPMD2I8RNCoeKTLLIhVxpVVJb0+v9iKDHsd9dFgRLd4vK4mHo3qvfFy7rVV/dIWryO9IjGKG3kVXQBy7Fb6fCR+hyncLkZ3xSq9uuq9Zc2huy43tvsTpM9TwnulpfdWL8XSJXcA/XkkHi5JlGApwl1auC4QjJGiHVu3bsXevXuxdetWBINBrFmzBgDQoEEDVKhQAR07dkTjxo3Rq1cvPP7449i7dy+GDx+O22+/vcgJyIEDB2LOnDmoU6cO+vXrhzlz5uCkk04q1hhHjx5drN8rSsxP+BERERERERERUfzQrvDz0gMPPIBZs2YV/Ltp06YAgCVLlqBt27bw+/1YsGABBg4ciIsvvhjJycno2bMnJk6cWGS/L7zwAurUqYP09HQsXboUS5cuNW43b9481XgPHjxYKBIc6crHP4r5CT8nkAAnULJh2vhrWlHEFTu5wp91Y+wv/7/ddJWx3Z9k3l66aKzprxy2VtppV5hIf2WL1so8kfaizsLqVs//wmyL+v5q+vb4z36WVv7JK/yE14pwHvFl5xnbE7KD5u6D5mO8/46OxvbKLy40ttuS9WAXT/s3KffA/BO+zxPBH6WiHdL5VCqO5Onrvyjac4PX4yGRP1a+FRzl8YrvuKZdPW+Lpden+DlIu1/teU1KHWn6l/apXcknJZ1KqewJ1xjbnXLm75kJeebPU47PfF44tsjk/7aPznnNyuo87evEEmufC7z+bmAYp/rcUsoFQw5yFXMfXr5aZs6ciZkzZxa5TZ06dfD++++r+u3du/dxi3pEavPmzRg8eDA+++wzZGVlFbQfLRwSDJrPS0WJ+Qk/IiIiIiIiIiKKH/kr/BSTYTH2d79IHG8SUePmm28GAEyfPh1paWlWJhI54UdERERERERERNa4rr5oR1n2r3/9C9988w0aNWpkrc+Yn/DzJfvhE5Zaxwwh8iE+YXPNzUfG/Mncz2FzdC83U4ju5ZqXLweFi/8nmqtcW4nXel18QlyubilioY2OWIvK2hq/QBUdKYrXxTk0/du6kq+tq8YLEV1tpNcVIr1uOeGi3Vnm84IUAdaSzlP6oklCxEj7HBSOm0n2Y9eq9hn4i+5aG147MLCDsT0p2by95+dT6TGULiUQa/Ex7f0qhTyPUwvE82C0MLqr53VUzhJ70UCvP8dJnx8LH2ftZ03x3Bsnj6FW3vSe5huSdEVNfAHh85TwDU/7nqhlJSrq5efwKIrWe5mJdOmrsioE1Uf1Mu+CCy7Atm3bytaEHxERERERERERxY+Qq5vwK+tzgy+99BIGDBiA7du3o0mTJkhMTAy7/ZxzzlH3yQk/IiIiIiIiIiKyJpaq9MaD3bt3Y9OmTejXr19Bm+M4pbtoh69yAL5yicffEFCvF9VG6+TInfnAS+3q6J7Qj5hgTBSqRwmH0cvKtfYit8qIla3qtNGovlZUu8BGRASwWLVOYiEaYCvWbI0yCqat6u1K5yPpvJMinUeEcQrjzxp3tbHdlyKcSDyMLxXJVgTbIGfK9cb2pLve9GyfRfFXMJ8H1QFU7flRqvzo9XlQoo3LC8TxGGJf1sYeLbYueWBJ1I6ah+cL+q8Ye67ZEq3PR8Zzj/R5R/k+7O85O6KhxarQBwOM7VLVXfE8LkV6KySZt/f8cjbK91CxH8X22s9wWrH2Xunhecp3JOanV04oV7nCL54dOnQI5cuXL1Ef/fv3R9OmTfH666+zaAcREREREREREcUe7TX84nluMC0tDd27d0f//v1xySWXFKuPLVu24L333kODBg2sjat0/hmOiIiIiIiIiIii4ug1/CL9iecZv9dffx0ZGRlo3749Tj/9dDzyyCP47bffVH1cdtll+O6776yOK+ZX+PmrJsOfIiypPoa++qUQuVVGa5ElLLXMMlfFFKN1wvjFpfhCZUZ/lCoMGuMOUYpBWYuaaUkVwGItcutxFWBP4w62KiFHiaM9T9k6r0l/XpP6j9ZzxxZDVFl9GQdB7os3GdsT75hjbJcqBkrvBaGDOcZ2XyWhpLqSrUsMWIu5WopxB5RR65wnrzPfYHgPlatcRum9TCvWqnFKx62s5H7KoliL9EWJp7FM7eUa4kRo+T3mG1LKGZudrGzz9sL3I19A+DosVnK3dD71+r3SwNaljcT+o/VZ0FYk2cIlRvyHY+z9Nspct+xcw69Lly7o0qUL9uzZg9mzZ2PmzJm4//770alTJ/Tv3x9du3ZFQkLR029dunTB0KFD8f333+Pss88uVLSja9eu6nHF/IQfERERERERERHFj6AL5Cgun1sa5gZPOukkDB06FEOHDsXTTz+Ne+65Bx988AGqVauGAQMG4L777kNKSorxdwcMyL826YMPPljotlJbtIOIiIiIiIiIiOJHWazSu3PnTsyePRszZszA1q1bcf311+PWW2/Fb7/9hkceeQRffvklFi5caPzdkAfFxWJmwi87OxvZ2f9bgp2ZmQkAcKqUh1P+mEivFH2VOpcOnNSeJ1S/zDK3hw7nmreX2oV+xKivwClnXppuLQIkUcRQ1UvHJZZihyJl3FGsnCo9p7QRXa/jlJ5H9JQRABsVW20976NVYVB47sjnNeW7p9C/9FzWx8c9Pm7KN0DT/RLvkXQZB2UEOG/WLebtpdeh0L9UCdnVxohsnXckUYqJOT7zRxcxOi19ZlBUnPb8HCuJ1rk3WmLs/Oup0npfbd2vaF2mw+tvpl7erzipkBz65M/mG5LM52Qn2RzddaX7W858+QtfijnqK70ixO9Z2irA8czSe5CVz/nF2K/Yv9he8sfQCQifLcqoo9fwi1Q8zw3OmzcPM2bMwMcff4zGjRtj0KBBuOWWW1C5cuWCbc477zw0bdo0ov6ysrJQrpz5/KcRM+8MEyZMQKVKlQp+ateuHe0hERERERERERGR0tEqvREX7Yhj/fr1Q82aNfHFF19gzZo1GDx4cNhkHwDUr18fo0aNEvsIBoN46KGHcOqpp6JChQr497//DQC4//77MW3atGKNK2Ym/EaOHImMjIyCn23btkV7SEREREREREREpOS6DoKKH1fO48S8HTt24MUXX8QFF1wgbpOcnIzRo0eLt48bNw4zZ87EY489hqSk/6Vczz77bLz00kvFGlfMRHoDgQACAcMS7ArJQHk7lQkjJkR6HaHdn2OO7kJod7PN1XvFaW1l/MpaREe73NlUdUazbXEkCBWJtUvE84THJMtcLRNCBbDQYeVjKxArgAntUXvMtcfZxtJ9W2MhAEXEXKPFUtxMrIas2Kd0ztfGo6WIWEKfV4ztUjTYgTImYitWaokYkRZI50GpXYynR+PiMbZiTbF07i0Or59rPO97T3tOthbRK2OPbRRi5aGFg4ztvo7P2un/syHmG8olGZsd0/dAQI76Ch/RXWn7iub9+ssL20vVe4Xxq+OjXj/m0bhUgUQ6BtL3OK/3q91e817meHyf4oz6Gn5xtsrv6GXopH//UWpq6nH7mz17NqZOnYr27dsXFPAAgHPOOQc//fRTscYYMxN+REREREREREQU/7TX8Is3lStXhuMUPSHsum7EFXa3b9+OBg0aFGoPhULIzRUWmR0HJ/yIiIiIiIiIiMia0l60Y8mSJVb7O+uss/DPf/4TdevWDWv/xz/+EXGxj2PF/ISfU6ECnAoljPTaipRI8S6pqq8wi+vE0hLroogVHoWlyqZl2drIrY0YcVHbS6S1xkJ0FwcPm3d7JMu8vRT7lp4LQhzB8/trK7ojjcdGZVlblbW0y/y1x6as1aCP1nlNs19LlY3Fyz4oK8KH3rnV2O6rqIzuelhtrkjK84g0Gl+3GeZupEqOArmite5xMd4vbR8SW+fwKFQeLLJ/WzzvvxRGjD2PBSrPm6XxGNvk5WcJZd++tk/pxqIkVdcVP+NK7dpIrBjpTTZvL9GOU3m5ouOtCoqY5jVh67OvrfOO9j3RVjzaw+rAjl+IfJdRrhtb6XLb2rRpY6Wf/v37Y/LkyRg9ejR69eqF7du3IxQKYd68eVi/fj1mz56N999/v1h9x/yEHxERERERERERxQ8XpXuF37H279+Pr7/+Grt27ULomJnO3r17i783a9YsPPLII+jSpQveeOMNjB8/Ho7j4IEHHsD555+P+fPno0OHDsUaEyf8iIiIiIiIiIjImqAL5GpW+MXxjN/8+fNx880349ChQ6hYsWLYKl7HcYqc8HPd/93xTp06oVOnTtbGFfsTfpUqABWFJeGRciwt23V1y5rleFGUnsnaZdnaikp+w9NJOvbapdRSP1K7aSxFbS89tilC1d2K5uiuky1EgKVIr/YYW6tKLMXThftr6zmrjEiK7RraWICtOJKt2LS2nyitm//jG1UY9f1Vno9s3F/tMZbiPJqIaJHbK4+BugqdMnKvfd1KhPNXaNlfjO1OxfKq7sXnoERzv6Rzo/YYeH1JAlvPBe1+tSz1o47Exdj4Y0q0Mlel8VgWh+L9QP1+6/Fj63432nxDOV3VXbFdSarM7iorwsqXMLIUQ1Vvb+GyR15/xhW3t/RdU/t90OvL95i+P/qEyzuVUaX9Gn5/9Je//AX9+/fH+PHjkZKSov59azH/Y8T+hB8REREREREREcWNEEp3ld4/2r59O+66665iTfYBwOmnn37cSb+9e/eq+439Cb+USkCK8iKrx/J6hZ8tXo9Tag8KKxckmlV1tu6Tdiy29usXjlmisOq0nKVjaatdon2OhKSVf5b6kZ6DpvLj1i4UrFwtqT322vOFdntpZZGNAgVFkVY0a1eB2VoB6SXlWDxf5SixtULG6xWK0oXUE+0UKVL/XVS6X4mGFTWmcxFgZxVyUbxegafcPm5W1Hl+3Cz8FT7WVrbF0rm3KLF23GxRnH8dW+//tpRTFimQzu3aVV3S9tJ7TZ7wfVJ6L7C1As/r1Wri9qYVflF6/VgrCih9LpDahQKUjvkxcV3ta8vw/SV4xLxtGeWWoRV+nTp1wqpVq1C/fv1i/f7YsWNRqVIly6OKhwk/IiIiIiIiIiKKG64bvauZnQjvvfdewX937twZ99xzD9atW4ezzz4bicf8Qbtr165F9nXTTTfhlFNOsT5GTvgREREREREREZE1pT3Se8011xRqe/DBBwu1OY6DYFBOhXh1/T4gDib8nEAqnHLFy0Efv/MYiwV4HcvSxji1EUPT8Yy1Y6zldYxboj1u2u1tXcRW+dxxQ1IsLkfYr2mpvBD/tfF8BfQFX7x+rGxFg7XHTRvjlraPVvRYQ1vEQqCPNVs6v3hdVEdo1xbJkC+ArozXa2NWWobHy5H6NsR/Adh7bKMVv/J6v7EWuY1G9NjWxfO9fqxiLerLSK/83BHfa+wcM3fLRPMN2mIb6rim8vOXtvaH9nOZ9nOidL8sFZqQ4qlWvoNF63uQRHuMlY+VeFZWfLZ2cuwUnyktXBcIhRTvd3E2ORiy9B6pLjynUErfNYmIiIiIiIiIKBrckINQMPKfOJvvCzN79mxkZ2cXas/JycHs2bOL/N1QKORJnBfghB8REREREREREVnkug5Coch/4lm/fv2QkZFRqP3AgQPo169fFEaUL+YjvUiuCCSXD2+ztbzY6yhetKgrsFqK9Gp4fSy9rpAaL2zFUBPtPF6OFCsV46CGqK8UF5YqaympoxG2nsvRek0Ix94NCvFrMeprKQKsfS1qltJrY0ESaXttFWrx9WCpKq6tqG+eeZyOdpy2IrraCLCWqR9pn9GqqOy1uBlnnMRiNWzFl21dusNSHFTN1mPrtWhUSZeOjVT9Vltxfusk8w3ipVAsvYfaqEJbVD+2Krz6hMimpViptc+DmuemrctBeU17zLTHXst0HHLi5Nx1gsRKpPeXX37BQw89hMWLF2Pnzp2oWbMmbrnlFowaNQpJSf+rNL5161YMGjQIixcvRnJyMnr27ImJEyeGbSMO3XWN1+L79ddfPam+G6nYn/AjIiIiIiIiIqK4EQw6yMuNfILVq0jvTz/9hFAohBdffBENGjTADz/8gNtvvx2HDh3CxIkT/zvWIDp37oyTTz4Zy5Ytw549e9CnTx+4rounn35a7Ltp06ZwHAeO46B9+/ZI+MMfX4LBIDZv3owrrrjCo3t2fJzwIyIiIiIiIiIia45GeiP/BW9WSF5xxRVhk27169fH+vXr8fzzzxdM+C1cuBDr1q3Dtm3bULNmTQDAE088gb59+2LcuHFITU019n20Uu+aNWvQqVMnVKhQoeC2pKQk1KtXD9ddd50n9ysSsT/hl5CU/xMBW9VNXHi7TNnx+NKJjiM8rNLhsbVc27S9raic1O7l2G1uL/G6+p02HmGrXeJXxjv9hte+cOwdW1V6bW0fLepq3ObzhWM69oA6iitGrW1dSsDGa1Eb55Fi3wJr8WhtpWVb8WhpPDlS1W078Xpr1Xu1TP17HVOWeH3esVXhPdYu0+F11Fpz/vL6MjTaeKT4XBb2W1oveeI19WcM4TibToPaSwwIl18Qq+5KFUzrDDP3s+0pcz9efwa1VC3XSQiothf3K31fjdYlYTT9qz87xkmkV2zX7VaeYyj8WnT9rNL7R+pIL/KLXGRmZoa1BQIBBALCa7WYMjIyULVq1YJ/r1ixAk2aNCmY7AOATp06ITs7G9988w3atWtn7Gf06NEAgHr16uHGG29EuXLlrI6zpOLkGywREREREREREcWD/Am/yH9cAK+99hoqVaoU9jNhwgSr49q0aROefvppDBgwoKBt586dSEtLC9uuSpUqSEpKws6dO4/bZ58+fVCuXDnk5OTg119/xdatW8N+ooUTfkREREREREREZI0bchAKRv4DF+jZsycyMjLCfkaOHGnsf8yYMQXXz5N+Vq1aFfY7v/32G6644grccMMNuO2228JuMxXdkIpxHOvnn3/GpZdeiuTkZNStWxfp6elIT09HvXr1kJ6erjhqdsV8pDcvlIO8UMmWxrqeXf6xaI64XlgXd3KkpfVS/64UQxO2F5d8K+eDNYdZGrq4ZFpoF+6TIy3Dl9h6imiXuEvJwGhFgATya0iIiQixePG5LMVHYylGG2uRNVvVuCU+XQRYoo5ax1LVcG2lP/FcLdBGd6WKyiEpMmzr0gPCeJKyzO25Qrt0vyS24mDaaKOXY7FVnVLi8WU0HCmq5PXlIKL13Jdoqp5ro/ha6ktrCO3RurRJtPqPORY+Y3j8vHe3TzHfIEVZpeir8j1U6ke8vIY2imtpPOpqwhJLV6cwfacSL1slfUUUjrH68lFa1iK3wvcU6TI0yu1Ngq7wvlRGFSfSm5SUJF4v71iDBw/GTTfdVOQ29erVK/jv3377De3atUPLli0xderUsO2qV6+Or776Kqxt3759yM3NLbTyz6Rv375ISEjA+++/jxo1akQ0SXgixPyEHxERERERERERxQ9t0Q7tnHG1atVQrVq1iLbdvn072rVrh2bNmmHGjBnwHfPH1pYtW2LcuHHYsWMHatSoASC/kEcgEECzZs2O2/+aNWvwzTff4IwzzlDeC29xwo+IiIiIiIiIiKwJhRwEg5oqvd6M47fffkPbtm1Rp04dTJw4Ebt37y64rXr16gCAjh07onHjxujVqxcef/xx7N27F8OHD8ftt98e0YrDxo0b4/fff/fmDpRAzE/4hdwQQsdUeYy9iK6ZdpRS3FGqcimNx3HMe3Y8KnNdLMLB0T620jGwVLBZT3mIxYrNyiqgWq4QK7exlL0o4nNTOHA+KTbhIVvVvrXEGLp2ONJjJUV0tUprRWsTr2OcEk1cEIDjdcVjIZLoSjGuRKE6WV6Obr+SWIrFWoruitG0aEWGtVE2bSTOUqRXvGSArRit9tIJpv1KcWRtBXNbonUOj7XIsNei8Z5l66Oj9nIWwnuB4xcqato6j1i67Ia2kqv0OVGMyyo/c2s/92k+o9v6nO/z+HuKre+Jtr6/aITi/dxlWXEivV5YuHAhNm7ciI0bN6JWrVphtx19Tfv9fixYsAADBw7ExRdfjOTkZPTs2RMTJwoVzY/x6KOPYsSIERg/fjzOPvtsJCaGXwYl0piybTE/4UdERERERERERPFDH+n1ZnKwb9++6Nu373G3q1OnDt5///1i7ePyyy8HALRv3z6s/WjRj2BQV8fBFk74ERERERERERGRNaGgg7xcxar+aKX0LFiyZEm0h2AUMxN+2dnZyM7OLvh3ZmYmgPylu9GK8B7L83EolwBLo3Fi5HhFkxj15bEBoK9OZYs2Vm6KDEjRd0k0lvMXRRy/VIhanxMX9quLX1irLBWtCtheUkdEzc1ifFyqiifFoMTidJYidFKcUor0Wqo+bI2NWGm0YsTafqxVNpYiceZmbcTNhe4xd3zCJUxgrhosPje1rxUb7cLzXowje30ZhFiL1mo/+0pR6FgTjUivRHspAW2VW7/wepNeh0L/6rimeH6RYqtSvF7Y3tJjWBq/ewSFY0ml8/EuiVCMRHpPhDZt2kR7CEYxM+E3YcIEjB07NtrDICIiIiIiIiKiEvC6Sm+s2b9/P6ZNm4Yff/wRjuOgcePG6N+/PypVqhS1MSn/dOydkSNHIiMjo+Bn27Zt0R4SEREREREREREpHS3aEelPPM/4rVq1CqeddhqefPJJ7N27F7///jsmTZqE0047Dd9++23UxhUzK/wCgQACAaGaUxlhawlw3MQdqMzRPseNkYE4eSMQo7gevz61kWd5nBYGA4vjiak0gO4x1FZ+FmPoysdEfeyFGLfjM783O1I13mjEJr1mK3JrqUqkRF89UuhHiNxKETdblR+9Pn9J/YvPfSle7yji9f4oPe+1ccRYumwCII4npt4KimLreHpZNVxbLVeIBoeEzzXyecFcsd3rCqyMWhKdeG7IQSgYN2fuEhk6dCi6du2Kv//970hIyD+P5uXl4bbbbsOQIUPw+eefR2VcMTPhR0RERERERERE8c9VXsPPqyq9J8KqVavCJvsAICEhASNGjEDz5s2jNi5O+BEReSBaf0mOtRW+2kItZYn3haC87V7LWgEaYZWJqchPUft1FFc10a+Qi85F4+N9BYv2/KV+Tgn9q1cWCuc1Uz/WVg9KtA95tFbOigWrorSyULs6V0u6X1aKCAm7VK7wlVfm5Zrbg9F5rOL9vEZUlmmv4RfPL/fU1FRs3boVZ5xxRlj7tm3bULFixSiNKoau4UdERERERERERPHvaKQ30p94duONN+LWW2/FG2+8gW3btuHXX3/FnDlzcNttt6FHjx5RGxdX+BERERERERERkTXaSG88mzhxIhzHQe/evZGXl5/oSExMxJ133olHHnkkauPihB8RgIC/s5V+soMLrPRDsUd6jkiPufY5Zeu5E639SryO4th47fJ1e2J4XZhKiqdR6RVrxc68vISBtYIm0vZCVN4eoQiHEHm2RX6OeBtPlS8DIBS+keK4FiLP0YrEap+DjO4SlUIugJDitR3Hp4GkpCRMnjwZEyZMwKZNm+C6Lho0aICUlJSojosTfkREREREREREZI0TDMGfG2NV4D2WkpKCs88+O9rDKMAJPyIiIiIiIiIissbnAj7VCr/4W+LXv3//iLabPn26xyMx44QfxQVbkVuvxdo4oxVVjLXj4CVb9zVax6wsPVaSWDsGjBgTxScvI4meV2CPv+9YFOMY0SUix3VVE37xeLW/mTNnom7dumjatKl4eYZo4oQfERERERERERHZ4wKOZoVfHBowYADmzJmDf//73+jfvz9uueUWVK1aNdrDKuD1FXqJiIiIiIiIiKgMcVwXvmDkP/G4MPi5557Djh07cO+992L+/PmoXbs2unfvjo8//jgmVvzF/Aq/gL8TAv7UsLZ4jzvFS/VOin98zIniT6y9buP9PZeIiCInvQdJ7wW23rP4XkNU+jgh5TX84lQgEECPHj3Qo0cPbNmyBTNnzsTAgQORm5uLdevWoUKFClEbW8xP+BERERERERERUfwoC9fwO5bjOHAcB67rIhSKfoViRnqJiIiIiIiIiMga57/X8Iv0J15lZ2fj9ddfR4cOHdCoUSN8//33eOaZZ7B169aoru4D4nSFX6zFnbxW1u4vERHFDq/fgxjjIiKKHTwnU2kRje/QAX/mCd9nLNOu8EMMXPNOa+DAgZgzZw7q1KmDfv36Yc6cOTjppJOiPawCcTnhR0REREREREREsckJIb8YRyn2wgsvoE6dOkhPT8fSpUuxdOlS43bz5s07wSPLxwk/IiIiIiIiIiKyxhcKwZ8X+XXsnDicG+zduzccJ3avPsgJPyIiIlJj7IuIYgUvf0MUf/i6Lf0ct/RX6Z05c2a0h1AkTvgREREREREREZE1Tsgt9ZHeWMcJPyIiIiIiIiIisuZold6IcW7QOk74EREREVHMYuyLqPTICX5gbHdgvgaWyxmAqOG5l0oqv0qv4hp+fL1bxwk/IiIiIiIiIiKyJn/Cj5N40cQJPyIiIiIiIiIissYJQXcNP84NWscJPyIiIlJj1IeIiLSS/FdFewhEdII4rqu7hh9Z54v2AIiIiIiIiIiIqPQ4GumN9Md8JU87unbtijp16qBcuXKoUaMGevXqhd9++y1sm61bt6JLly4oX748qlWrhrvuugs5OTkejsp7nPAjIiIiIiIiIiJrHBeqCT8vtWvXDnPnzsX69evx1ltvYdOmTbj++usLbg8Gg+jcuTMOHTqEZcuWYc6cOXjrrbfwl7/8xdNxeS1mIr3Z2dnIzs4u+HdmZmYUR0NERERERERERMXhBF34cyOv0gvXu0m/oUOHFvx33bp1cd999+Gaa65Bbm4uEhMTsXDhQqxbtw7btm1DzZo1AQBPPPEE+vbti3HjxiE1NdWzsXkpZlb4TZgwAZUqVSr4qV27drSHRERERERERERESr5iRHpzcnKQmZkZ9vPHhWE27N27F6+++ipatWqFxMREAMCKFSvQpEmTgsk+AOjUqROys7PxzTffWN3/iRQzE34jR45ERkZGwc+2bduiPSQiIiIiIiIiIlL4/psM7N63KeLtDx3Zg8NZ+/Hee++FLQSrVKkSJkyYYGVM9957L8qXL4+TTjoJW7duxbvvvltw286dO5GWlha2fZUqVZCUlISdO3da2X80xMyEXyAQQGpqatgPERERERERERHFj0//OQPb//Mddu+NbNJv9Y9vok6N5njiiSfCFoJlZGRg5MiRxt8ZM2YMHMcp8mfVqlUF299zzz1YvXo1Fi5cCL/fj969e8P9Q4zYcQqXDXFd19geL2LmGn5ERERERERERBTfatasicanXYFv1r6OTpeMKnLSbG/GFmz5bSU2bdqAQCCAQCAQ0T4GDx6Mm266qcht6tWrV/Df1apVQ7Vq1XD66afjzDPPRO3atfHll1+iZcuWqF69Or766quw3923bx9yc3MLrfyLJ5zwIyIiIiIiIiIia5atehmnnFwL23Z+izo1mhm3cV0X36ydg0bp7VG3bl1V/0cn8Irj6Mq+o9cHbNmyJcaNG4cdO3agRo0aAICFCxciEAigWTPz2ONBzER6iYiIiIiIiIgo/lWsWBGTnnwE3659A6FQnnGb33Z9jz37f8Gyr1/1bBxff/01nnnmGaxZswZbtmzBkiVL0LNnT5x22mlo2bIlAKBjx45o3LgxevXqhdWrV+PTTz/F8OHDcfvtt8f15eY44UdERERERERERFbddtttgONgw5bPCt0WckP4Zu0cnNPoalSpUsWzMSQnJ2PevHlo3749GjVqhP79+6NJkyZYunRpQXzY7/djwYIFKFeuHC6++GJ0794d11xzDSZOnOjZuE4Ex/3jVQpjSGZmJipVqoSMjIy4nlElIiIiIiIiotKNcxhm7777Lm7q3gvXXD4RSYnJBe0/b1mK7ze8h9/3bov4un2kwxV+RERERERERERkXdeuXZFasSbWblxQ0JaXl401P83DS9Of5mSfhzjhR0RERERERERE1jmOg/cWzMKPmz7C4SN7AQDrNn2MlHJV0L179yiPrnTjhB8REREREREREXmiRYsWODXtPKz5aR6OZGdi7cb3Me/dGXAcJ9pDK9USoj0AIiIiIiIiIiIqvRb/83Wc3vAMHM7ah7RqZ6J169bRHlKpF7MTfkdriWRmZkZ5JEREREREREREsqNzFzFaFzXq6tevj9PrXYafNi/CunVroz2cMiFmq/T++uuvqF27drSHQUREREREREQUkW3btqFWrVrRHkZMOnz4MP7zn/8gPT092kMpE2J2wi8UCuG3335DxYoVceDAAdSuXRvbtm1jeWuyIjMzk88psorPKbKNzymyjc8pso3PKbKNzymy7UQ+p1zXxYEDB1CzZk34fCyXQNEXs5Fen89XMCt+9EKOqampPPGTVXxOkW18TpFtfE6RbXxOkW18TpFtfE6RbSfqOVWpUiXP90EUKU47ExERERERERERlSKc8CMiIiIiIiIiIipF4mLCLxAIYPTo0QgEAtEeCpUSfE6RbXxOkW18TpFtfE6RbXxOkW18TpFtfE5RWRazRTuIiIiIiIiIiIhILy5W+BEREREREREREVFkOOFHRERERERERERUinDCj4iIiIiIiIiIqBThhB8REREREREREVEpwgk/IiIiIiIiIiKiUoQTfkRERERERERERKUIJ/yIiIiIiIiIiIhKEU74ERERERERERERlSKc8CMiIiIiIiIiIipFOOFHRERERERERERUinDCj4iIiIiIiIiIqBThhB8REREREREREVEpwgk/IiIiIiIiIiKiUoQTfkRERILly5djzJgx2L9/f6Hb2rZti7Zt257wMZ1ITz/9NM444wwEAgGkp6dj7NixyM3NLbTdrl270LdvX1SrVg0pKSlo2bIlPv30U2Ofn3zyCVq2bImUlBRUq1YNffv2xa5duwpt97e//Q1/+tOfcOqpp8JxHPTt21c19l9//RVDhgxBmzZtULlyZTiOg5kzZxq3ff/999G7d2+cffbZSExMhOM4qn0dFcnx0oxL8u9//xvdunVD5cqVUaFCBXTo0AHffvutcds5c+bgvPPOQ7ly5VCzZk0MGTIEBw8eLPP7IiIiIirtOOFHREQkWL58OcaOHWuc8Hvuuefw3HPPnfhBnSDjxo3D3XffjW7duuHjjz/GwIEDMX78eAwaNChsu+zsbLRv3x6ffvopJk+ejHfffRdpaWm44oorsHTp0rBtly5diiuvvBJpaWl49913MXnyZHzyySdo3749srOzw7Z98sknsWfPHnTt2hVJSUnq8W/cuBGvvvoqkpKScNVVVxW57dtvv40vv/wSjRs3xrnnnqveFxD58dKMy2T37t249NJLsWHDBkyfPh1z585FVlYW2rZti/Xr14dt++qrr6JHjx644IIL8OGHH2L06NGYOXMmunXrVqb3RURERFQmuERERGT0+OOPuwDczZs3R3soJ9Tvv//ulitXzv2///u/sPZx48a5juO4a9euLWh79tlnXQDu8uXLC9pyc3Pdxo0buxdeeGHY719wwQVu48aN3dzc3IK2L774wgXgPvfcc2HbBoPBgv8uX76826dPH9V9+OPvr1y50gXgzpgx47jbDho0yNV+PNIcL824TO655x43MTHR/eWXXwraMjIy3GrVqrndu3cvaMvLy3Nr1KjhduzYMez3X331VReA+8EHH5TZfRERERGVBVzhR0REZDBmzBjcc889AID09HQ4jgPHcfDZZ58BKBzp/eWXX+A4Dh5//HE8+uijqFevHpKTk9G2bVts2LABubm5uO+++1CzZk1UqlQJ1157rTHK+sYbb6Bly5YoX748KlSogE6dOmH16tUn4i4X+Oijj5CVlYV+/fqFtffr1w+u6+Kdd94paHv77bfRqFEjtGzZsqAtISEBt9xyC77++mts374dALB9+3asXLkSvXr1QkJCQsG2rVq1wumnn4633347bF8+X8k+omh+v6T70hyvku7r7bffxmWXXYa6desWtKWmpqJbt26YP38+8vLyAABffvklduzYUWhMN9xwAypUqFDoeJelfRERERGVBZzwIyIiMrjtttvw5z//GQAwb948rFixAitWrMD5559f5O89++yz+OKLL/Dss8/ipZdewk8//YQuXbrg1ltvxe7duzF9+nQ89thj+OSTT3DbbbeF/e748ePRo0cPNG7cGHPnzsXLL7+MAwcO4NJLL8W6deuOO+a8vLyIflzXLbKfH374AQBw9tlnh7XXqFED1apVK7j96LbnnHNOoT6Otq1duzasT2nbP/YZbzTHqySOHDmCTZs2icfwyJEj+Pe//x02pmO3TUxMxBlnnFFoTI7jhE1gl5Z9EREREZVVCcffhIiIqOypVasW6tSpAwBo2rQp6tWrF9HvVa5cGe+8807BSq7ff/8dQ4YMwRlnnIF33323YLuffvoJTz31FDIzM5Gamopt27Zh9OjRGDx4MKZMmVKwXYcOHdCwYUOMHTsWb7zxhrjfX375Benp6RGNccmSJUUWHNmzZw8CgQDKly9f6LaqVatiz549YdtWrVrVuN3R2//4/9K2f+wz3miOV0ns27cPrutaOd6//PJLWJvf74ff7y91+yIiIiIqqzjhR0REZNFVV10VFts888wzAQCdO3cO2+5o+9atW9GkSRN8/PHHyMvLQ+/evQviiwBQrlw5tGnTBkuWLClyvzVr1sTKlSsjGmOjRo2Ou01RlWqPvc3GtsWpjOu6LoLBYFjbH+PCtv3xcQHyJ66OjltzDErKi+N97H0rLfsiIiIiKqs44UdERGTRsSuPjlaYldqzsrIAAP/5z38AABdccIGx3+Nd+y0pKQnnnXdeRGP84+oqk5NOOglZWVk4fPgwUlJSwm7bu3cvmjVrFrataQXb3r17Afzvfp900kkAIG5rWrF1PLNmzSp0LbfjxZVLIjExMezfM2bMQN++fVXHqySqVKkCx3HUxzstLa3Qtsc73qV1X0RERERlBSf8iIiIYkC1atUAAG+++WZY4YJI2Yz0Hr0W3ffff48WLVoUtO/cuRO///47mjRpErbt999/X6iPo21Htz36/99//z2uuuqqQtv+sc9IdenSJeJVjTYcu6+jx1tzvEoiOTkZDRo0EI93cnIy6tevX2hMjRs3LtguLy8PP/30E3r06FEm90VERERUVnDCj4iISBAIBADkFxXwWqdOnZCQkIBNmzbhuuuuU/++zUjvFVdcgXLlymHmzJlhE1gzZ86E4zi45pprCtquvfZaDBw4EF999VXBtnl5eXjllVfQokUL1KxZEwBw6qmn4sILL8Qrr7yC4cOHF6wy/PLLL7F+/XoMGTJEcW/znXTSSQUrvk6E5s2bG9s1x6ukrr32Wjz11FPYtm0bateuDQA4cOAA5s2bh65duxZEmlu0aIEaNWpg5syZuPHGGwt+/80338TBgwfRrVu3MrsvIiIiorKAE35ERESCo6uJJk+ejD59+iAxMRGNGjVCxYoVre+rXr16ePDBBzFq1Cj8+9//xhVXXIEqVargP//5D77++muUL18eY8eOFX8/KSlJnJDSqlq1Kv72t7/h/vvvR9WqVdGxY0esXLkSY8aMwW233Ra2sqp///549tlnccMNN+CRRx7BKaecgueeew7r16/HJ598Etbvo48+ig4dOuCGG27AwIEDsWvXLtx3331o0qRJoWju0qVLsXv3bgBAMBjEli1b8OabbwIA2rRpg5NPPvm49+Po9kcrvK5atQoVKlQAAFx//fUF223ZsqVgsnTTpk1hv1uvXr3jHlfN8dKMy2T48OF4+eWX0blzZzz44IMIBAJ45JFHkJWVhTFjxhRs5/f78dhjj6FXr16444470KNHD/z8888YMWIEOnTogCuuuCKs34SEBLRp0waffvppqdoXERERUZnlEhERkWjkyJFuzZo1XZ/P5wJwlyxZ4rqu67Zp08Zt06ZNwXabN292AbiPP/542O8vWbLEBeD+4x//CGufMWOGC8BduXJlWPs777zjtmvXzk1NTXUDgYBbt25d9/rrr3c/+eQTT+5fUSZPnuyefvrpblJSklunTh139OjRbk5OTqHtdu7c6fbu3dutWrWqW65cOfeiiy5yFy1aZOxz4cKF7kUXXeSWK1fOrVq1qtu7d2/3P//5T6Ht2rRp4wIw/hx9DI5H+v1jP/4cfSxMP3369IloX64b+fGKdFySjRs3utdcc42bmprqpqSkuO3bt3e/+eYb47avvfaae84557hJSUlu9erV3bvuuss9cOCAcUx/fD6Xln0RERERlVWO63p4dWsiIiIiIiIiIiI6oYou+UdERERERERERERxhRN+REREREREREREpQgn/IiIiIiIiIiIiEoRTvgRERERERERERGVIpzwIyIiIiIiIiIiKkU44UdERERERERERFSKJER7AJJQKITffvsNFStWhOM40R4OEREREREREZGR67o4cOAAatasCZ+Pa6tMDh48iF9//RVnnHFGtIdSJjiu67rRHoTJr7/+itq1a0d7GEREREREREREEdm2bRtq1aoV7WHEpMud2liMX/H9Dz/grLPOivZwSr2YnfDLyMhA5cqVsemXmaiYmhLt4RARERERERERGR3IPIzT6vXF/v37UalSpWgPJ+Zs2LABTRqdibNQFSG4+M79PdpDKvViNtJ7NMZbMTUFqZzwIyIiIiIiIqIYx0uSmfVsdAlaoTq6oT7uw5dYvHgxLrvssmgPq1RjsJyIiIiIiIiIiDzxxRdf4AfsxTVIR0UnCZ1RF/3aX41QKBTtoZVqnPAjIiIiIiIiIiLrXNdFn0uuwhWog0pOAABwOWrhIHLx+uuvR3l0pRsn/IiIiIiIiIiIyLp58+bhd2ShE/5XlDXJ8aMb6uPuW25FVlZWFEdXunHCj4iIiIiIiIiIrMrJycHA63vhGqSjnBNeQuIiVEd5JKJ3cpMoja7044QfERERERERERFZ1S/QBAnw4RLUKHSbz3HQHQ3wPrZgz549qn6ff/55nHPOOUhNTUVqaipatmyJDz/8sOB213UxZswY1KxZE8nJyWjbti3Wrl1b4vsTbzjhR0RERERERERE1mRkZOA9/ILrcRr8jnnqqbFTFachFT2qNVX1XatWLTzyyCNYtWoVVq1ahcsuuwxXX311waTeY489hkmTJuGZZ57BypUrUb16dXTo0AEHDhwo8f2KJ47rum60B2GSmZmJSpUqYdfeuUhNTYn2cAAADuyU13aEJ7uW67KiTbxzEZMvPyIiIiKyLODvHO0hWJcb+sjYHnKDVvovjccs3mUHF0R7CDErM/MwTqnaHRkZGUhNTY32cKLuT049bEIG7kFTOI48l/KrexAPYRV+2vQz6tevX+z9Va1aFY8//jj69++PmjVrYsiQIbj33nsBANnZ2UhLS8Ojjz6KO+64o9j7iDdc4UdERERERERERFZs27YNi7AN3dGgyMk+AKjlVEALpKHHaS2Lta9gMIg5c+bg0KFDaNmyJTZv3oydO3eiY8eOBdsEAgG0adMGy5cvL9Y+4hUn/IiIiIiIiIiIyIp+dVrhPFRDPSeylY7Xoj7W4HesWbMGmZmZYT/Z2dnG3/n+++9RoUIFBAIBDBgwAG+//TYaN26MnTt3AgDS0tLCtk9LSyu4raxIOP4mJ0Z2dnbYA5mZmQkA8Dk++Bx/2LYJTpKxDyckLB2Xoq/aSKxPebik6K7P3C6lq12YxxmCnaXyXsZKpdixrVhz3Ctjsex4iDAfe745ylY0hYiIiKIrwWf+LiF9bg26eV4Ox1PRil9Kn6cSfVec4JGQbbZi1owGl25Vb2iJav9YHfH2VZwAKrsBPPXUU5g1a1bYbaNHj8aYMWMK/U6jRo2wZs0a7N+/H2+99Rb69OmDpUuXFtx+7MpC13WPu9qwtImZCb8JEyZg7Nix0R4GERERERERERGVgOM48PkUE2xBoGfPnpgyZUpYcyAQMG6elJSEBg0aAACaN2+OlStXYvLkyQXX7du5cydq1PhfdeBdu3YVWvVX2sXMhN/IkSMxbNiwgn9nZmaidu3aSAw5SAwd8yTJO2TuJC/H3B7y+K9y0mo1qb1cBfPmfmHlovAXMkdIZEsrAqXtbTHuVzmBLo0xXmbitas0tcdHu0JOW9jF1go8cWWnpcI3Gtr7xJV8dJT0fI2HlapERCTLCwnfGSzx8vOOtCpK2qe00k4i9ZPg66TqhyjeSM99vy/R3G6YSgn4+Bnxj3x+ICFBcT4M5U/iFbfgieu6yM7ORnp6OqpXr45FixahadP86r85OTlYunQpHn300WL1Ha9iZsIvEAiIM7dERERERERERBQffD7Ar/ibg+ZPJX/9619x5ZVXonbt2jhw4ADmzJmDzz77DB999BEcx8GQIUMwfvx4NGzYEA0bNsT48eORkpKCnj17qu9HPIuZCT8iIiIiIiIiIop/6kivwn/+8x/06tULO3bsQKVKlXDOOefgo48+QocOHQAAI0aMwJEjRzBw4EDs27cPLVq0wMKFC1GxYkVPxhOrYn/CLy+3cFRXiugK7W6euaqLWDBBiuJqCywI/ThSPwnmSK9ULER66TjaCLOt+2Vq9yufYiFlgRVbRS+0sWzhfknFSByp4Is20quODCtj3MLx1EYYtUVZtNFjDWl5fpL/Ks/2GYu0ESCSldZjxqiy92w9d/hYEcWnnOAHJe5DOo9oP3tpz0d5oY9V22tpx+93Ong0Eoo32ji7tl38fhrMKtwmzTuUUY4j1isVfiHyTadNm3acfTsYM2aMsdhHWRL7E35ERERERERERBQ3HAfw+SOfxSudf1KPLk74ERERERERERGRNY5PucKPrIv9Cb+8HCDvmGFqo7tBoRKXFCPUxkqV3DzD8l9AjO6qI8YxFHN1hKpGalLUVFlRVap4DKFCshizlo6x1I/Hf66QKzBbiuh6HEOTYhymqG9Zi+LaUlpjqGSP9jkSa7HSeH6Oa6Ns1t7noyTWnjvRoH2+2nrvky7vEO+0VdUD/s6q/m1EcW3xOroba3yQrvi/RGhv59VQ6Di05xdtPN3vmL8ri88R6b0yKFz+ys01t0tzA6Y5iWMvRVbG+RxHtcIvzk9XMSn2J/yIiIiIiIiIiChuOA7gV/yNgvN99nHCj4iIiIiIiIiIrMkv2qGZxuOUn20xP+HnZmfCzTpmea1UhVZanqvdXhv1DSmjKdKTXqpo63XUR+pfCtxL0WPD+F1tTNkWKSIqpZSV/YjRXe1zRxvLEGPWUvPlqv6DWGRs11bRTfB1Um1P3ov3KHQsxamidSxj6RgA8R8T08TiolUVU4y+Cpen0J6roxatjfNIssTL51TI/UQ1FltRVq/ZigDa2l57no3n91ap6q72vKY970j9y68J4TEUv5cJ1YSlcSZeaW4nkfjcUb7e/MKln/zSFIV4mS4himtrbkC6nFiw8H7dI0fMfZRRjg/wSal84y94NpQyi5dQJCIiIiIiIiIia/w+BwkJkf/E+3zfP//5T9xyyy1o2bIltm/fDgB4+eWXsWzZsqiNiRN+RERERERERERkTf4KPyfin3ie8XvrrbfQqVMnJCcnY/Xq1cjOzi8oe+DAAYwfPz5q44r5SC8OZwD+Y6rvSkuy84SKreKSb0sRXakfiRCVdc4coevHEnfLROEGC1Fin3BstHFhbcVg6RhLVXrFKK6wtDvnsLldimVrifcrOhFpRnQp2uI5NmVLWYsS27q/uaGPjO2aSKW4rfB3UzGCZitBKyXcYP4c5HN0l3eId9Jj7rVE3xURbxt0zZfQsLW+QepHigZLEWC/08HKeKSKqkm+ZGN7bijL0n7NbJ3XbEWApYikiTaKLz0vbX22y3PtRIOl86mqQiqgv2RAthArD8RW/D2WSM9Bn/A9K8ERLoUkRXTzDgo7Fh5bZTVeN5htbEeucN6RKu+anoNZ3p674k1ZKtrx8MMP44UXXkDv3r0xZ86cgvZWrVrhwQcfjNq4Yn/Cj4iIiIiIiIiI4obj++/KvTJg/fr1aN26daH21NRU7N+//8QP6L8Y6SUiIiIiIiIiImt8Tn7wLtKfeF7iV6NGDWzcuLFQ+7Jly1C/fv0ojChf7K/wyzoCJByzbFgd3bUU0ZViqALn3LG6/UaJU3d4tIdQwP19uvkGW9FdqZ+KNxxnZGVD/F8qlYhsi/c4tSZmqWeOKYqJO1sRNOG9zOe3Fb+Mb94+5nbYi8ra4bqLVe1SfFwi3V8p/e445li29rGV4t1eP0e0UV8pXmuK+mo/q2niwkWNRaKN7qpZinGiXBc744kXrvD+ZCI9pYRjmZgjRGKlY2+rMrv0HipwXeE8JUV3tZHeXEN1YEZ6wziOA5+vbHy/vOOOO3D33Xdj+vTpcBwHv/32G1asWIHhw4fjgQceiNq4Yn/Cj4iIiIiIiIiI4kZ+0Q7F9t4NxXMjRoxARkYG2rVrh6ysLLRu3RqBQADDhw/H4MGDozYuTvgREREREREREZE1jgPdCr94nvEDMG7cOIwaNQrr1q1DKBRC48aNUaFChaiOKfYn/HLygJxjlsuKkV4hQ6Otoivxmft3mj1sp3+Bu32Kanvn1Ls8GslxHPhH4TZhCbcbMiyBBuBU629zRKRU1io5EhEVIlVsNJGqOIbMFVjVETTtfomKyXEuU22vWLBRLLYit9GKd/t9icZ2qTqzxMu4rNexcm30WKxuLsU4tfHRI++a25OvLnpgXsl43djsBs3fkcTjYOM5YusYK6O7Tk3dqif3t2eEjoRjILVL91cT3QUKz1EUtW0Z5Ti6FX7xLCMjA8FgEFWrVkXz5s0L2vfu3YuEhASkpqZGZVws2kFERERERERERNb4fA78ip94XuB30003Yc6cOYXa586di5tuuikKI8rHCT8iIiIiIiIiIrLG5wMSEp2If8RKTnHgq6++Qrt27Qq1t23bFl999VUURpQvTiK9x6wDzTMvw3VdXTVecem4tP0F41Xba7lbJwk7FirR1h7i3WCKQ1HpNn5fykREVCpI8S5TJEm6NEjwbXO7T/nxShuPksYu7VeqPFjhuqLHRUT5gkIUV/iM7neE16LwAVj7HcbYtfaLslTF1Sn8hbXI/Qp3yhHWlYjjlOKUUrv2Ugg+YZ3LYeE8nnKtrn8l9/A+5S8oLwlhiq2Kl8US+hbblZfREtrdHX8zby9d8y3JHJVHgpAZlR5ziTR+6biZ2nOUz8tSLv8aftEexYmRnZ2NPMM8VW5uLo4cORKFEeUrI4efiIiIiIiIiIhOBMcBHJ8b+Y9T8j9+RMsFF1yAqVOnFmp/4YUX0KxZsyiMKF/Mr/Bzc7LhZke4sTQrL0wrO60eL96gSsjd/FhU9ktERGQssATIF7dOSDK3+4WPEIlX6sek4O6ZqfsF6X4p/uTsOMLqAeGP/lYuol6U1Bt12we8GQZRqSOt5JNoV+dKqR0r5wzdyjxAWOEnrfwT+KTzo/S9XSyMIKxElraXCi9IQsrCDplvmNuV51+x0IStghji6jPFCj/tyj/l9jZWsAIAss3PBfXqVksr/0z3y82KdOKijPB5/5EoVowbNw6XX345vvvuO7Rv3x4A8Omnn2LlypVYuHBh1MZVRg4/ERERERERERGdCA7yV+1F+hPPLr74YqxYsQK1a9fG3LlzMX/+fDRo0AD/+te/cOmll0ZtXDG/wo+IiIiIiIiIiOKIU3ZW+AHAeeedh1dffTXawwgT+xN+OblA4jHPEvUyXClzEyU5ueZ26QKoAnf9OPMN0vGRos2n3avaLxERGUjxHymGI9F+MpLiRdJ4tMp1UfXvHnrFvL0UDdLGlyTa7RUfDcR352h9it39krldOAbOKf/n4WAA98eHzTfYuhC8ROpH4DR9SNc/lV6hT6M9gnDa85eJtiKesjiHGPWVXrZS5NbSud0NCt+ntP1Ll6eQ7J1tbs8TIslaNqK70vZSH+J3U+nYa4t/eLtyy1W+F3iKkd4w+UU7FI9/KanseeTIEeTmhr+uUlNTozKWmJnwy87ORnb2/14gmZmZURwNEREREREREREVh1OGVvgdPnwYI0aMwNy5c7Fnz55CtweliXKPxczhnzBhAipVqlTwU7t27WgPiYiIiIiIiIiItDQVen1uXC/wu+eee7B48WI899xzCAQCeOmllzB27FjUrFkTs2cLK4NPgJhZ4Tdy5EgMGzas4N+ZmZn5k34hVx3ZiFTo82HmGxLM1aYcv9De4hHdjrOkalO6KsPiOM8apRsPEREVJlWz9ZoyjuTuFyK0AqfyLartxf3mHhFuiFJEVxsZjmfSfRKqPrpbJpq311Zm9Do25RM+6qujvubt3W/+JmyvjAZfMF43Hoo9vvbmdqlKr7LqrkhbWVbD62Uc2giwULwXoQ+F/pVVdKXvR1LEVXoMtY+J8vyr3q+N6C5gjukK24oRXe0+oxTpVb83abfXXC4rrxR+5iiBsrTCb/78+Zg9ezbatm2L/v3749JLL0WDBg1Qt25dvPrqq7j55pujMq6YmfALBAIIBALRHgYREREREREREZWAz3Hh95eNa/jt3bsX6enpAPKv17d3714AwCWXXII777wzauMqI/OtRERERERERER0Qvx3hV+kP/Gsfv36+OWXXwAAjRs3xty5cwHkr/yrXLly1MYVMyv8VGwtF5buvS9RaDc/C21FRERCZRvn3LF2+iciKssOvuVp966rjL6IHUUnJuLufMF8gxRxsRWt9fr+avqPVgVAbTxa+/nI6yq6Eu1zxxZLUWX3q/uM7epLvFDs8Xfwtv9cIc6qIT1f4+VbXeKV5vbQAnN7QpKxWVoIJJ6l8qRLKkmxVWF79fnXQhQX0MdrDe1idFe7T+m9QLu9LZ6/R5uPm+9PUwu3ZWYCKNxeVuVP5Hnz+E+YMAHz5s3DTz/9hOTkZLRq1QqPPvooGjVqVLCN67oYO3Yspk6din379qFFixZ49tlncdZZZ1kfT79+/fDdd9+hTZs2GDlyJDp37oynn34aeXl5mDRpkvX9RSpe3hqIiIiIiIiIiCgeKK/h5ygivUuXLsWgQYNwwQUXIC8vD6NGjULHjh2xbt06lC9fHgDw2GOPYdKkSZg5cyZOP/10PPzww+jQoQPWr1+PihUrKu9M0YYOHVrw3+3atcNPP/2EVatW4bTTTsO5555rdV8anPAjIiIiIiIiIiJrHMeFz6MVfh999FHYv2fMmIFTTjkF33zzDVq3bg3XdfHUU09h1KhR6NatGwBg1qxZSEtLw2uvvYY77rijxGOoWrUqNmzYgGrVqqF///6YPHlywURinTp1UKdOnRLvo6RifsLP1+Yx+FJTw9pCH1m66KFQ5VbCqmxERKWQFC8M6uKUbkiIxGgr99mKsmqr/e54Tte/thKiJFpxWYmN42/rGNiK4or7tfQh3FaFRPX91cXKXFfZv5K7/J5Cbb5Wj1vpm0oJKc6qifoGOtsZS6zR3q/Dbxubxaiv9DqXoru5WeZ2Mf5qqeq52I/yfGeK79qqAKztR11pXTg20uc1Jd8108y7fedWK/3T/5zIKr0ZGRkA8ifhAGDz5s3YuXMnOnbsWLBNIBBAmzZtsHz5cisTfjk5OcjMzES1atUwa9YsPProo9ZXDpZUzE/4ERERERERERFR/HCQv8ovcm7BJNofBQIBBAIB+bdcF8OGDcMll1yCJk2aAAB27twJAEhLSwvbNi0tDVu2bFGMSdayZUtcc801aNasGVzXxV133YXk5GTjttOnT7eyT604r4VCREREREREREQxRVGh1/EBcIDXXnsNlSpVCvuZMGFCkbsZPHgw/vWvf+H1118vdJtzzIUBXdct1FZcr7zyCq666iocPHgQQP4qw3379hl/oiXmV/gF37oDwZTw6kxOQBi2z/zA+bq+ZHtYRERUWqRcq9rc3TNTuEEZ0dVW+rNEjO7aGqfXUWWvaY6/15FYW9VybT2nvB6PpQizWInS1n4lhrhZ6LMh5k3bPqXrm0o3Keqb9/GJHUcMcve/Ymx3/PJqH90OlNHaw0LUNyvb3L10PpL6l9h4n7BVdVcYuxuUzqVCu7S9SDhmfmHyRpgbCP6jr263wviDr/Uu3HZYiIiXUY7jqqv09uzZE1OmTAlrK2p135///Ge89957+Pzzz1GrVq2C9urVqwPIX+lXo0aNgvZdu3YVWvVXXGlpaXjkkUcAAOnp6Xj55Zdx0kknWenbFq7wIyIiIiIiIiIiaxwn/29hkf44AJKSkpCamhr2Y5rwc10XgwcPxrx587B48WKkp6eH3Z6eno7q1atj0aJFBW05OTlYunQpWrVqZfV+5ubmol69etizZ4/Vfm2I+RV+REREREREREQUPxwf4EtQrPBTJG0HDRqE1157De+++y4qVqxYcM2+SpUqITk5GY7jYMiQIRg/fjwaNmyIhg0bYvz48UhJSUHPnj2V96RoiYmJ+OGHH6xFhW2K+Qk//3Uvwn9MlV4iIqKoyco0t/uTzO2SkBCVkdgqc6aN3GqrDEerUqyWKrrr8X2yVeVW3N7r8ViK4mqr6KqrXEahGrJQVTL0yZ+F7YXL01w2xdhOpVxCp2iP4LjcvbOFG6TXj50K765PiE76hK+32vdc4bUojidXqN6becjcLlX79fCyHrYit642ohv0+JIefuXnIykCrGW4v25elD7TxCrHVRbtiNzzzz8PAGjbtm1Y+4wZM9C3b18AwIgRI3DkyBEMHDgQ+/btQ4sWLbBw4UJPKun27t0b06ZNK4j4xoqYn/AjIiIiIiIiIqL44XPEv3uVmPhHwj9wHAdjxozBmDFjvBnEH+Tk5OCll17CokWL0Lx5c5QvXz7s9kmTJnk+BhNO+BERERERERERkT0OVEU7Yi8QG7kffvgB559/PgBgw4YNYbdFM+rLCT8iIiIDd/048w3lhEph2hiOtmqt39JbthTRldq9jDsWJdZiscY+PK7Sa2u/lh4ra5FbW88pbT/qqK+F/UpLG5ISze0JfnM7RZW7+THzDZaeg86ZfyvGqGKDU7VwpVKgGBXhtZePEAckvOZsLTOSHtssc8TYPXDE3M1+c1Vf8TklRYyleKq6Aq5iLDFHWfFYGdfWcLOU0fFSznGUV6SJ4xm/JUuWRHsIRpzwIyIiIiIiIiIie3ywd81EKhZO+BERERERERERkT2OA8fDFZWxpF27dkVGdxcvXmxsnzJFX5SrX79+ERce4YSfBYfvu9LYnvLIhyd4JMWT90ov8w3CUvCEPq+YN3+jT8R9+HsKFb0sCS2+y3yDEKFxEoVojbD837lgfHGGRUQxyP1GGaUSYjsoJ1Tp1caIpO21kds8YXsp1qiNO3pNG5UT+znx44/kQtJholWl19Z+oxXRtdSPl5UrpS86jjR2RnpjkpM+QrW9+/3/t3fn4VFU6duAn+osTSKEVUAgBBRBWVQEdQA3QEBlQMeFTVkdRgYYFQSUYVhlcRQ38FNEZVMRERkVcYFRRwdFZVVHUBGRIMtP9iBLtq7vD4aMIeeFfptTVFfy3F65LqlUTp/urq7qPn2e847R7b9mpPkXpmOqyXhV277J2qvb39a1SRujlxwxR27d/QfM23/Zb9yev+uQef+D5mu0VAFXHDTxcvZUwGdm+THQ5B4Rqi+XVI6jq6Ic4EPuoosuKvTv3NxcrF27Fv/5z3/Qs6dhnOS/7rnnHtSoUQMJCdFd/7ds2YLf//73HPAjIiIiIiIiIiIfOFCumRjcEb/HHnvMuH3MmDH49ddfT/i3K1euROXKlaO6nWgH+o4pVgN+h0e2N/9C+KZE+41u6kPvqvY/dG9bczuPLDG34xPt4qK5z3VV7Gz+9i3/sZuN25MHvabqi0iagSMtqCuciELXPm2nP0TkO/fz+83bs6XzhbCgtiDU9v+Z25dmENr65jnH/G2ym+/TTD7tjEZbs7e07UtsLexuYq2giccz/AIwc+5E+4vyhX7aat8kSTiehJkzwf2oQ4VIxTkaP2DcLl6fDLOF3U+HqroSav6wav/IsnuFhiyd24VrlrhdO/NPurZKM/yk+3XoiHFz/v8dNHdnu/kDvXtIKpQlPD7SbChptrA0C0/zHsPSTD7PZ9RpZooBnhbnAGB83Fzhs29J5YQc+Rg1/oF3ffHL7bffjksvvRSTJ082/n706NEoXbp01O399a9/RYUKFaLev1gN+BERERERERERkc8SHPmLrxJi+fLlKFWqlPj70aNHq9obPny4an8O+BERERERERERkT3aoh0BnuF30003Ffq367rYvn07Vq5ciZEjhXVa/+vw4cNYunQpWrZsWSSym5WVhX/9619o164dwuGwul/FasDPzRamdluKcPw68BpVf0o/+U9VO27EfISXeWqp6na13CPC4yZIHjjfuD1nyi1Rty1Ndz4yroNxe6lRi6Ls3VGh66cZt+fN6Gbuj3As5D/d2bg96c+vqPpDRKcm8nY/8y/EiI7hfCqd8381L6gd+VWI+koW9jZvTxW+1ZNiRFIMSooviZFeO3FKa4t224hH+iUoC5crH2N1lNVWJFa91IoyImXrcVByjLMYhLfaUuyrhFQzLO6k6K7EzY1+of/Q5Y9ou2MUef0O8y+k66oU3T9svlZG9puXxZC2uweFa5nw+U46X5hfh4BTyvxalAYjIofM/ZH6n5ttvl1XeqknmPsfCglx8JBUzMPcvum6pY7cKiO06jOppfOdFBl1pWNBuF3t502TcFYWMLrsKbdTbISURTsCrGzZws97KBRCvXr1MG7cOLRta17q7Zjp06fjzTffRMeOHYv8Li0tDVOmTMGWLVswYMAAdb+K1YAfERERERERERH5y3G0A83B/dJr5syZMf/tSy+9dMJZgPfccw/GjRvHAT8iIiIiIiIiIvKZ4+hSEsEd7yvkyJEjeOWVV3Dw4EG0adMG55577gn337BhAy688ELx9xdccAE2bNgQU1/ifsDvwOAb4CR70005ISJMC3Z1R+C+O6Wpm7op35ID/dsYt0tTvqWIsRTR1Uq+a4GVdryU9/MB3R8IU5CFsANRsZf/Sk/hF0JET4itubnmyErSH182bo/sPHE5+2hIt+kKsR2p7+F7Fxq3m5Y1AAAnyRwZFuOLUj+lCKClqKwUa9RGgKzFI6Xbld44xlOVwXiLAHse9VVW15VoI8M+EY+RpIToG5Gq9DLSWyLZiOlGhGUlIgeEaOoBcxTXzTZXlZWW6ZEirjn7za/nnEPm99Z5udrPR9JryHy+SEg0318pWivdruvqPgU4jhDdTZQivUI7wv0Sb9fQjtgXMXGpW/ZJ20e5Hd3+rvJ8mvLIEm2XKFYhxN97IsuGDh2KnJwcPPHEEwCAnJwc/O53v8O6deuQmpqKYcOGYenSpWjWrJnYRl5eHnbu3ImaNWsaf79z507k5QkVv08ibgLV2dnZyMrKKvRDREREREREREQB89+iHdH+BNE777yD1q1bF/z7pZdeQmZmJjZs2IC9e/fi1ltvxfjx40/YRoMGDfDPf5onZwHA0qVL0aBBg5j6FzcDfpMmTULZsmULftLT0/3uEhERERERERERaR2b4RftTwDH/DIzM1G/fv2Cfy9ZsgS33HILMjIy4DgO7r77bqxZs+aEbfTp0wcPPPAA3nrrrSK/W7RoEcaPH48+ffrE1L+4ifQOHz4cgwcPLvh3VlYW0tPTEYkUjd5K0VptJFZLqqKrLR4ntSPZ2fNa4/bEZKkd8/ZdvdsZt1ea+Z6qP0EmVgaTomyaeA5RCSBX3paqpOuivpLcTftU7YuVaBV9SX3oXeN2qdK6plIeALHvkTw71xo5omPmdfsSG5UHj+4vRX0tdFT5rbNUMdBW+2rKSKy6wrNEiOiKt+tTdFd77LjC/k5S0furPfqkR8yd0c24PbHPXOUtUHGVt+2gcXv+/5m35+w0R1yzD5rf+0qR2/wcaX/zx8y8HDsXj5Dy2qG91iQIUV99++bzRUiqMqx8eKSYrjHSq4zc2rrOS9TXf6kdMaps3r6/n3lZrLLTlupumE7OCXl/IPksFArBdf93rH322WeFCnCUK1cOe/fuPWEbf/rTn/Dxxx+jY8eOOO+881CvXj04joP169fj+++/R6dOnfCnP/0ptv7F9FceCIfDSEtLK/RDRERERERERETB4oSOfgka9Y8TvCl+5513HhYtWgQA+Oabb5CZmYmWLVsW/H7z5s2oUqXKSdt58cUXMW/ePNStWxfff/89vv32W9SrVw8vv/wyXn7ZvMZ5NOJmhh8RERERERERERUDIQdIips5Zp4YOnQounbtisWLF+Obb77B9ddfj9q1axf8/u2338all14aVVudOnVCp06drPYv7gf8yj7+RtzM9vu/268zbvc6SixNa845rIubSv38+Zb2xu15uUKsTIibmdo/551FUfXtdEllVSaiU5LY80Xj9uxHbjL/gRTpPaKrNJW93Rw9ks5Hxn2Fc6C0rMG2LtcLLSVHfZux0F5TpGuEFGXRigjLUGjbF2NQQhRH3Y7QHzn2Ff3t2uq7xK+0i3pJEmFJFXF/9fsjW5WWlfsLz2NCovk8JbZfqujbaukhcIT4shTzc7nECJ3Er2v2G7cfESK62QfDxu1S5FauWmvpdauIpp6ItqovYL7dPOHaJ19zhf2F+5UvVhk2ty+xcS2T2LrOi/tbes7l679ufynqmyBUVDb5NSe2SqrFlqMsxhG8CX64+eab8fbbb2Px4sVo27Yt/vKXvxT6fWpqKvr37x9VW1LhWsdxEA6HkZys/wwS9wN+REREREREREQUICHHzlrKce6aa67BNdeY1/gePXp01O2UK1fuhLHmGjVqoFevXhg9ejRCUX5bzAE/IiIiIiIiIiKy51iVXorKrFmzMGLECPTq1QuXXnopXNfFihUrMHv2bPztb3/Dzp07MXnyZITDYfz1r3+Nqk0O+CnkHtFNcdfSxpQkUhVg7VR8cX+PI8xEFDyRfUIF7Gxz9d78X83bs7qbq5LnHE4yt684r0nxxaz2HYS24ytCZ+sa4TU57iTs73Gk18sIk7ZtsR1L0WAtW1E8sX1L8XRxf2UcTI59CUuYCPHakFC9MyFSNMrlCBXMHalSuVTZWJghcWSccP4Szr0pE942t0+B8W2rG4zbnVAp43b5/bwUKfXpmiLF/oT4e74ycivm64UMoTbOan7FyVV6bT3OmrikdvkIr6/P0mOvXapEegwi4jXCvP+Zs98137BCJCsLeLbsKbdTXDjqSG/JHhycPXs2HnnkkULr+HXs2BGNGjXCM888g/fffx81a9bEhAkToh7wK/7zK4mIiIiIiIiI6PQJOUdn+EX7U8ItX74cjRs3LrK9cePGWL58OQDg8ssvR2ZmZtRtcsCPiIiIiIiIiIjscXB00C/anxKuRo0aeP7554tsf/7555Geng4A2L17N8qXLx91m4z0KtRYsFi1/083/F61vzTbuabHtytN9ZeqX0oVG899703V7RJR8RHZb4705mYLMbQD5svP4QPmGK24pIKHkcSgLF9gK1aqvl1LUR9r1X4tteNXxVwTW1Ffr6O7Wn7FuKVjTYroSjEkqWKjKQKcKFbjzTW3IUSAoa3SK7Sz7862xu0H95rPydXnMwLspy+bFY3v5gvHlCRBOI4TzStlICTELLVVvW2RIvcSW1FZqYqufLu69m2dByWm850cO7Zzm7YqGEvtuMJ26ZzsCKdNG9Fdio7jOHA0M/fi6+3KaTd58mTceuuteOedd3DJJZfAcRysWLEC3377LRYsWAAAWLFiBTp37hx1mxzwIyIiIiIiIiIiexwnvr5J9diCBQswf/58ZGZmIicnp9DvVq9efdK/79ixI7777jtMmzYN33//PVzXxXXXXYfXX38dtWrVAgD8+c9/VvWJA35ERERERERERGRPCCUmqjtlyhSMGDECPXv2xBtvvIHevXtj48aNWLFiBQYMGBB1O7Vq1cKDDz5orV8c8PNQrTfeKlG3GwQf1m1v3N7ye11smogKk6K4OYfN24+I+5u/Bcw1J4bFiJEfXyb6FXfymvRYhoSqodp2JLaq7vpVAVfDr1i217QVFcV2hLiWNiYWEfaX2zdvl+L+pvvlipFe4bHJESoAJ5ojwHrmg02K7n7fphgQq0QAAFvhSURBVKNxe92lwV7G5btrhEq3HsfopWPnvA/eMG7Pzi76BxEplymQorvaaLBE2x9JSJlal0gRZlu017KQGGeUqgPr2peulabznT5GrKtgLEdxlcsmQFfVF+L+5LtQApCoGHIKcJXep556CtOnT0fXrl0xe/ZsDBs2DGeffTZGjRqFPXv2RN3Ov//9bzzzzDP48ccf8eqrr6J69ep44YUXULt2bVx++eXqfhXTt5hEREREREREROQLj4t2fPzxx+jQoQOqVasGx3Hw+uuvF/q967oYM2YMqlWrhpSUFFx99dX45ptv7Ny342RmZqJ58+YAgJSUFBw4cAAA0L17d7z88stRtfHaa6+hXbt2SElJwerVq5GdfXTGw4EDBzBx4sSY+sUZfqT2aSNzURDT7JbLv4mv2YamBbUB4L2M64zb221+x8vuEBUbh/aZpxBkHzJ/ryTN5DPNZgDszSCwIaKcFRFPfY+FNOtCu5C6tn2JfvaGnVkUNsgzPeKLrRkm0qL34gLxwuyTBKm4mHKh+QThXa8068oV9peKl5lmvYizAYXCaOJjaWmCnzQTeVuX64W/MD8IpmISAHDhcvNMNb9I/ZSPcd1rVDuzW5pV98XFHYzbc7KL7i+9l5XOL9prVlDI1yDp8fH6doX9haJA2muZPNs++nbEWdHSDDzh0JFnOUu3K2wXZle7Uj+F57bqXH5ei1ser+F38OBBXHjhhejduzduvvnmIr9/6KGH8Oijj2LWrFmoW7cuxo8fjzZt2uC7775DmTJlrPalatWq2L17NzIyMpCRkYHPPvsMF154ITZt2gTXje48PH78eEybNg09evTAvHnzCrY3b94c48aNi6lfHPAjIiIiIiIiIiJ7tAN+ykjvddddh+uuM0/ccV0Xjz/+OEaMGIGbbroJADB79mxUqVIFc+fOxZ133qm6rZNp1aoVFi1ahIsvvhh33HEHBg0ahAULFmDlypUFt38y3333Ha688soi29PS0rBv376Y+sUBPyIiIiIiIiIissfRR3VzcnKQlZVVaFs4HEY4HFa1s2nTJuzYsQNt27Yt1M5VV12FTz/91PqA3/Tp0xH577Tvfv36oUKFCli2bBk6dOiAfv36RdXGWWedhR9++KGgIu8xy5Ytw9lnnx1TvzjgR2rNvzbHdN8/R4qDxI/WG82LUr9Z9Vrj9tfPbKdqPynJfEJLFLZLkeGltXWPZZtN5vtFZNuGduYF3PNzzVmZ7MPmdrKzzTlXKf7qZSRJG8mS4lSSfI/bl2jjo8oaHJ7HU9ULo/tQBc6viJi6fY9j09qombS/uiCLMj4mRf2kheOlwguaoiDa4jPSYvi25AtR4txsc4ci+eb9peUXPj7PXBztym/9KY52+JCwTIStghWWijVJ533T9UO8RuTqor5afl2bJAnK14r2dsXzmvbaJBwjeVL0WCqUIZ3H86KPDHt9rtbWvAmx2EbxF0Okd+7cuWjXrvBn8NGjR2PMmDGqdnbs2AEAqFKlSqHtVapUwebNm1VtRSMUCiH0m/vaqVMndOrUSdXGnXfeibvvvhszZsyA4zjYtm0bli9fjiFDhmDUqFEx9YsDfkREREREREREZI860gt069YNU6ZMKbRZO7uvcBcKD2i7rltkmy3HKuxu3LgRCxYsUFfYHTZsGPbv34+WLVviyJEjuPLKKxEOhzFkyBAMHDgwpj7FtILi/v37jaWF9+zZU2T6JRERERERERERlSDHIr2KKr3JyclIS0sr9BPLgF/VqlUB/G+m3zG//PJLkVl/Nvy2wu6aNWtirrA7YcIE7Nq1C1988QU+++wz7Ny5Ew888EDM/Ypphl+XLl3QoUMH9O/fv9D2+fPn480338TbbzNeWBIdOVx0zroUib1x53ted0el4453PW1fqgIsbbfVPqsMU6y+ufJG4Tfm74kO/mrO4poqDAL2okGauKz2NqWoVnCq9NqpVKithKiljkeJsSw7/dFEm21F02zFOMXnSqjwKh0LtqJmUnVdG9UmAX0FSU11XUBfBdi03Y+oOXCC85cy0istyyCd23OFWKlf71MOG96b2iRdV/KEmKUv4qkvgLo/0msoT9xf2K48FKRrgfoaqrxdW/03nb+8PlcnCFV3IdyutmJ7jQX+LA1ApyCkjfTau2bWrl0bVatWxdKlS9G4cWMAR9cH/Oijj/D3v//d2u0cY7PCbmpqKpo2bWqlXzEN+H3++ed49NFHi2y/+uqrMWLEiFPuFBERERERERERBVQMa/hp/Prrr/jhhx8K/r1p0yasXbsWFSpUQM2aNXHPPfdg4sSJOPfcc3Huuedi4sSJSE1NRbdu3az3JdYKu9FW8AWAhQsXqvsV04BfdnY28vKKfq+Sm5uLw4eFrwKJiIiIiIiIiKj4c0JwEhTTYpUT/FauXImWLVsW/Hvw4MEAgJ49e2LWrFkYNmwYDh8+jP79+2Pv3r247LLLsGTJEpQpU0Z3Q1GItcJu2bJlC/7fdV384x//QNmyZQtm+K1atQr79u1TDQz+VkwDfpdccgmmT5+OqVOnFto+bdo0NGnSJKaOUPC131Y0FjuvdBsfehJ8tiKA79QwR2iu+zm4Ud/F1cwVlbVMx2s8WtnUXBXXa1JsNU+Ia2Vbiu6qK+YK/dS8hrQRXb+q7mqJ8UghByVHWe3Er7S0FQnFdpT9kWKcRh5XxdRWTpZj3EKUVYxxaWPT/uyvrvYrVQEX7q8UK5Oq+sYTMdYsVd0Vvq+XqtxK0V0pyipdO7wmnX+tVddVXiu11w8T7XnBxm3Gcrta0nlHeg6la4T03MrnO6Ed4XwhtSM9PmI7yuUpxPulOl97e65OsFQONH0ho7vFhnqGn+76evXVV8N15euL4zgYM2aMusJvLGKtsDtz5syC/7/vvvvQqVMnTJs2DQn/HSjNz89H//79kZaWFlO/YnpZTpgwAddccw2+/PJLtG7dGgDw/vvvY8WKFViyZElMHSEiIiIiIiIiomIghIJiHMWdjQq7M2bMwLJlywoG+wAgISEBgwcPRvPmzfHwww+r+xXTdzUtWrTA8uXLUaNGDcyfPx+LFi1CnTp18NVXX+GKK66IpUkiIiIiIiIiIioOjs3wi/Yn4GODp1phNy8vD+vXry+yff369YjEODU95om3F110EebOnRvrnxeRnZ1dULoYALKysqy1Tf7JPmKeYjsz1Nq4vXfkfS+747mlta/3tH1b0cM3q5pjsV5XK9aS+qkhRUEWVjRXkL5pd3xVkLYVgxKjr8IxIsa1hO02orUnIrXvR5VeW+SYkp13O9Jjpo0vSaR+5ivPUxKpaqBEGwcT21EsNSPepvIx8Os50Vah1EbipP1VsWkAoQSp/7rXir4i9KlnGMXn1lakVBlZ1Z7bc7LNDUn7exlljYXX1dalJVJeP9P8HsPG8y5Vp7XF6/ORTHvtsNO+naisxeiupXZMj4/4vkM6LpOE7cJjny9UAZeWWcg9Yv7Fxus6GLef884iqUMUrxynxMzwO+ZYhd3NmzcjMzMT5513HkJRvgHp3bs3+vTpgx9++AG/+93vAACfffYZHnzwQfTu3Tum/sQ84Ldx40bMnDkTP/74Ix5//HFUrlwZ7777LtLT09GgQQN1e5MmTcLYsWNj7Q4REREREREREcUDj9fwiwezZ8/G3r17cc899xRs+9Of/oTnn38eAFCvXj289957SE9PP2lbkydPRtWqVfHYY49h+/btAI4WAxk2bBjuvffemPoX01eXH330ERo1aoTPP/8cr732Gn799VcAwFdffYXRo0fH1JHhw4dj//79BT9btmyJqR0iIiIiIiIiIvKRNtIbQNOmTStUaffdd9/FzJkzMWfOHKxYsQLlypWLemJbKBTCsGHDsHXrVuzbtw/79u3D1q1bMWzYsELr+mnENMPv/vvvx/jx4zF48OBCJY1btmyJJ554IqaOhMNhhMPhmP6W4lfPvH8at0uR3qBEfW1Fd23FHaWojNfV6WyRoi8mXseg4o0Up5LYOha00V2p6rE2lu1l7Nav51yOCwn7e9xPfVxIaEcZGdbT9UcbW5WYni9b1SM1t3mi25XZisRpo2bCdvH1KR07Qn9ypdv19rViq+K0DdplE7TVY6Wor/YaIV2DpP3np7VV9ee2w0vNNyBos+lt1f5a2uhuPL33kM759t4j+hPR1bYvV/vVVq6V+NOOqf/y9dncRp50LRDaka7Debnm9hOTgjnAQwraSG/8XHaj9v3336Np06YF/37jjTfQsWNH3HbbbQCAiRMnxhTHjbUq7/FiepV9/fXX+MMf/lBk+5lnnondu3efcqeIiIiIiIiIiCigSsAMv8OHDxcanPv0009x5ZVXFvz77LPPxo4dO8S/v/jii7F3796ob+/yyy/H1q1bo94/phl+5cqVw/bt21G7du1C29esWYPq1avH0iQRERERERERERUHJWANv4yMDKxatQoZGRnYtWsXvvnmG1x++eUFv9+xY0ehyO/x1q5diy+//BIVKlSI6vbWrl1bqNjtycQ04NetWzfcd999ePXVV+E4DiKRCD755BMMGTIEPXr0iKVJKmGkmIw2BmXLexnXedq+NrqrrUiqjWtK+0vRmk5ZS8wNKUmVcTVsxWGkx0Z6DCS2HhvJld8uNm6XYuW2Yl/aeJeN5xbw/vmNJ3710VaU2FYczPtos+7NoykCrK3oae8Nq09VK5Wxb21lZjlmraxc7XW5UvXjf+q0x732fUFenp1rhDa6K79P0d3fF8LXGLcnJQmRwUTda+KWfbpr+o0731PtL1lQTvfeIwj01zg75zvp/OJ9RFeira6ra0eznIX8eUR37g2F7Jwb42nZBPJIggMkKj7gB/CQ6NGjBwYMGIBvvvkGH3zwAc477zw0adKk4PeffvopGjZseMI2WrduDdeN7nXlOLoHKaYBvwkTJqBXr16oXr06XNdF/fr1kZ+fj27duuFvf/tbLE0SEREREREREVGxEAKcYEZ1o3Xffffh0KFDWLhwIapWrYpXX3210O8/+eQTdO3aVfz7TZs2qW+zRo0aUe8b04BfUlISXnrpJYwbNw5r1qxBJBJB48aNce6558bSHBERERERERERFReOoxzwC94Uv1AohAceeAAPPPCA8ffHDwAeLyMjw4tuFYhpwO+Yc845B+ecc46tvlAJIlXvlUhxwUQhwiFN5/c6Smwruqu+3YBX6ZVook1BuU+2aCsw2opfec1aFWZLr614Yiv64lfk1usIsESupCvFo3Ttm/kTR9bervqxt/X6VD6Htm7XD14vU2BrGQftcW/rfsnnNSGmKEYMpfd3ugrb0rIeclVyc/teL/ehoa3A7hd7Fe39iujq2tdWZ5ePQXM72s8kRsJ7RO3rikow9Rp+ZJv60T948CBGjRqFhg0bonTp0ihTpgwuuOACjBs3DocOHfKij0REREREREREFBj/neEX9Y/f/S1+VDP8cnJycNVVV+E///kPrrvuOnTo0AGu62L9+vWYMGEC3nnnHXz88cdISkryqr9UQmm/3UvweBFYr2fyaRfh9prXxTyCPJPPryIfXs/ks/U4i69d5WwVsvfYaGcKamddiO34NCNQ5t2xpi16IdEsxg7YfN3amb0hzZ73a2ZhPNG+nr0u/iXfrqXzjnjs62bOaduXz1O6/iQm6U54r59pTqbYKvJhw027zX2RUjXqc761Gfvav7Dz2tIes7L4mqlthaXiPxI7M+0pLqgjvWSbasDv6aefxs8//4wvv/wS9erVK/S7b7/9FldffTWmTZuGv/zlL1Y7SUREREREREREQVG81/DLyspCWlqa3904IdVw68KFCzFy5Mgig30AcN5552HEiBFYsGCBtc4REREREREREVHAhP67hl+0PwFTvnx5/PLLLwCAVq1aYd++fafc5r59+/Dcc89h+PDh2LNnDwBg9erV2Lp1a0ztqWb4rVu3DldffbX4+5YtW2LcuHExdYToRLyOQLyXcZ2VdrQRGm1Uxq/iHNrzrxQH8TKSbOsa4XU0YkE5cwT4ln3mqO/iatcat8dbdFdiK7qbb2Px6WIqQVl0yF5s2uOlE5QLlKvbt3BMaSO62sfe08XYT3S7lgpZJfh0DSqO/FruQHuMizFuqXiOpeiulniMK4vBSaRrtBT11dwv7XspKbpra39bpPeOWl4XpvI6AhxvS9doaD/vaO+rdIz4dcxSNIp3pLd06dLYvXs3KleujH/961/Izc09pfa++uorXHPNNShbtix++ukn9O3bFxUqVMA//vEPbN68GXPmzFG3qRrw27dvHypWrCj+vmLFiti/f7+6E0REREREREREVEyo1/ALVqT3mmuuQcuWLXH++ecDAP7whz8gOTnZuO8HH3xw0vYGDx6MXr164aGHHkKZMmUKtl933XXo1q1bTH1UDfhFIhEknGAqQSgUQj6nYRARERERERERlVxOAhBSDDkFa7wPL774ImbPno2NGzfio48+QoMGDZCamhpzeytWrMAzzzxTZHv16tWxY8eOmNpUDfi5rovWrVsjMdH8Z3l5eTF1guh0kaK7Xle/005ltxX19Zqt+IVG0KNdUuRDG/ORoybKY82nmFiXX5cat7+U0uY090TmW4ROGXHz63u2fKlKuqU4qMTrSrQatiK6YvuWntugRI+lfkrViiXa+GVJ4tdjk2Dh9QbYed3GdLtiVFn6C+mYtRH7NLcR9FijtmqwltfvH+1FgO3crh9sfa7R0i6XQ6eR4wT/w9sJpKSkoF+/fgCAlStX4u9//zvKlSsXc3ulSpVCVlZWke3fffcdzjzzzJjaVA34jR49+qT73HzzzTF1hIiIiIiIiIiIgs+BA8fRfBMcsCl+v/Hhhx8W/L/rHh3kdhzd/bnhhhswbtw4zJ8/v+DvMzMzcf/998c8zmZ9wI+IiIiIiIiIiEowJ1Ssi3Ycb86cOXj44YexYcMGAEDdunUxdOhQdO/ePaq/nzx5Mq6//npUrlwZhw8fxlVXXYUdO3agWbNmmDBhQkx9Ug34HTN27FjcfvvtOOecc2K6UY23av8Bqcflvm3FeYI+9Z30GN09sWI849oz0jEiRVa10RS/qutK/Z9X2k7k1uvorl9xXBuC0ncpWhecpXxP/XHWxgttVY8U97dVwdTStcBWf2zFUL2Og9qqbqy6TZ8irl4LzHlQfM7Nz4sYf+f7L5Gtz2vS0il+iacorsTaEhrK5WlsYVXfOKAu2hFcjz76KEaOHImBAweiRYsWcF0Xn3zyCfr164ddu3Zh0KBBJ20jLS0Ny5YtwwcffIDVq1cjEong4osvxjXXXBNzv2Ia8Hvttdcwbtw4XHLJJbj99tvRuXPnmDPFRERERERERERUnCgH/JQR2HgydepUPP300+jRo0fBthtuuAENGjTAmDFjTjrgl5eXh1KlSmHt2rVo1aoVWrVqZaVfMQ23fvXVV/jqq6/QqlUrPProo6hevTquv/56zJ07F4cOHbLSMSIiIiIiIiIiCqBjRTui/Qmw7du3o3nz5kW2N2/eHNu3bz/p3ycmJiIjIwP5lqMyMc3wA4AGDRpg4sSJmDhxIj755BPMnTsX99xzD/r162esLGKTOB1eOe1YWxWz4453dTdAvnmnhrkaryTeortBEYT7ZSuO0CnLXOlLG3HVVnHT0lbjDUK13BPxI/Zl67nyi63YofTYx1vE0EbVYO198jqK63X7fkVotcemrWMtniLM1h57S3Fqr8nvI5TVyj1e5kL9fkf4hCW/JxEij4bzbNCvQX65cac5xqn9PCgJwntiLa/HX/x6v/Bm1Ws9a/tQJM+ztgOpBEV669Spg/nz5+Ovf/1roe2vvPIKzj333Kja+Nvf/obhw4fjxRdfRIUKFaz0K+YBv98644wzkJKSguTkZBw4cMBGk0REREREREREFEglZ8Bv7Nix6Ny5Mz7++GO0aNECjuNg2bJleP/99wuq7p7MlClT8MMPP6BatWrIyMjAGWecUej3q1evVvcr5gG/TZs2Ye7cuXjppZfw/fff48orr8SYMWNw6623xtokEREREREREREFnXqGXzBmp5vcfPPN+Pzzz/HYY4/h9ddfh+u6qF+/Pr744gs0btw4qjZuvPFG6/2KacCvWbNm+OKLL9CoUSP07t0b3bp1Q/Xq1W33DcDR6dTRTve1FVOyFacg772XEV/RXa/ZirMHeYkEvx57KbqrrWZrK76gjRhL/ZTcdji+or6M7sYfW8eyjchtLDT9txWhtdWO9n1KvEVrfXscvI5Oa44prx9ja++J/fnwlW/pnK89j0vXGmvtKN9v5keKPv4tv1+s6wydkBT11cY+gxCjj7drh19svZ5NAvIQnD5OCEhQDDnF8DJ66qmn8PDDD2P79u1o0KABHn/8cVxxxRX6hixo0qQJXnzxxZj/fvTo0RZ7c1RMA34tW7bEc889hwYNGtjuDxERERERERERBZnHM/xeeeUV3HPPPXjqqafQokULPPPMM7juuuuwbt061KxZU9fXYiqmeT4TJ04sGOxzXReuW/wWKSUiIiIiIiIiohg4Id2P0qOPPoo77rgDf/zjH3H++efj8ccfR3p6Op5++mkP7oz3QqEQEhISxJ9YxLyG35w5c/Dwww9jw4YNAIC6deti6NCh6N69e0ztZWdnIzs7u+Dfxyr9JocdhKOcTsz4VfHlV9VdLb8qdAU5onsifsV3TaRYw/y0tsbt2qivlq3orkSK7mqjtfFWsZXka2VQojjxxFaEy+vorl8RXVvVgW1FcW3F02xEd7VRWVuPsfb9ghMyn/NtrcHuOPE1acB1zXfMFd6PuIbILaCP7kr75+bG1+NTkkjPla3ztZaN91M2zmlH95fa96civJa2qrfmdZsrnBNKLn3RjpycnIKxoGPC4TDC4XCR/VatWoX777+/0Pa2bdvi008/ja27PvvHP/5R6N+5ublYs2YNZs+ejbFjx8bUZkwDfo8++ihGjhyJgQMHokWLFnBdF5988gn69euHXbt2YdCgQeo2J02aFPOdICIiIiIiIiKiOOFAvS7f3Llz0a5du0LbRo8ejTFjxhTatmvXLuTn56NKlSqFtlepUgU7duyIobP+u+GGG4psu+WWW9CgQQO88soruOOOO9RtxjTgN3XqVDz99NPo0aNHoc41aNAAY8aMiWnAb/jw4Rg8eHDBv7OyspCenh5L94iIiIiIiIiIyCexLP/WrVs3TJkypdC242f3/ZbjFB5RdF23yDY/ZGVl4YMPPkC9evVw/vnnn1Jbl112Gfr27RvT38Y04Ld9+3Y0b968yPbmzZtj+/btMXXENE0TAFJKOUg5br6vrVhmPMUF6ajF1XQVsSQ8Rihe2Yr65nu8hIEfVXFPxEaURbpP3bP/adz+QvgaXfsBX1ZC339LSyEI51nv4+Ca/kuxPSHyJaZXdO1E1LEpXVxQeozlKJtwsx4/PlLFVjkOpnt8ZLp2NMesfJ90x702diiRortaUkTXVgQ4pOyn/nbN7UuRXlu3K7Wfl1tM12wJAKl6r0S7/JDE1vIaNirRe70sg5eV0GMhV9eO/lqZl+//QFN8ceFCdwJNTk5GWlraSferVKkSEhISiszm++WXX4rM+jsdOnXqhCuvvBIDBw7E4cOH0bRpU/z0009wXRfz5s3DzTffHFO7hw8fxtSpU1GjRo2Y/j6mq0idOnUwf/78IttfeeUVnHvuuTF1hIiIiIiIiIiIgs9V/qeRnJyMJk2aYOnSwpMpli5dapyc5rWPP/4YV1xxBYCja/G5rot9+/ZhypQpGD9+fFRtlC9fHhUqVCj4KV++PMqUKYMZM2bg4YcfjqlfMc3wGzt2LDp37oyPP/4YLVq0gOM4WLZsGd5//33jQOCpSA6HkHzc1wU2Rt8B/YKdH9Ztb9ze8vvFuoYIb1a1M5NP4tdMPukbLL+KeQRdkIuRLChnLuZxy74lxu3SzD+peIZEu78t8Vacw1TIKkH5TbU0809rdqJupmBQeD2jUXve1M6K0Mx6yxf6IhVME9tWXmvEWRfSbCBlO+JMNWlRerH/uhlv4nOVp2tHmgEJodCBfrF9XTum2Wfax0C8TwKxKIh4fGvb183MkWa2aWtzSDMFI8KsS2nmnzRzTjsDT7xfwu0mCJ+wQgnSDEjz9urzF520bxQfrvv5HU/bfy/DPIPQxkw+LVsz+WwVUhL3V7831c1WN+2flx/gDy8ecOHCVU2R1l0sBg8ejO7du6Np06Zo1qwZpk+fjszMTPTr10/XUQv279+PChUqAADeffdd3HzzzUhNTUX79u0xdOjQqNp47LHHCsWRQ6EQzjzzTFx22WUoX758TP2KacDv5ptvxueff47HHnsMr7/+OlzXRf369fHFF1+gcePGMXWEiIiIiIiIiIiKB+3MPY3OnTtj9+7dGDduHLZv346GDRvi7bffRkZGhme3KUlPT8fy5ctRoUIFvPvuu5g3bx4AYO/evShVqlRUbbRq1Qrp6enGNQgzMzNRs2ZNdb9iGvADgCZNmuDFF1+M9c+JiIiIiIiIiKgYct0IIm70kZBYhgb79++P/v37x/CXdt1zzz247bbbULp0aWRkZODqq68GcDTq26hRo6jaqF27NrZv347KlSsX2r57927Url0b+TEs4h7zgN/pUiolhJTE44t2CNP8hfufJ0Q78oToCOOXwaeN1nofHbUTd9RH3Dxe3Nbj14rX/feS9NhIUV8pAnjbYX+KfMRbRFciRSpNpPukjV9r9cwzR4Ol+LW2YErQi4XYYu9xOPViHpJ4iwaL+0uFrzyOm4rtiPExZTu27pfQjinmJvVRasPr50p8TsRzfvRRtqM3rI0AC+1L/ZE+AyhfiyHlx0pbRUek+5sUNj+Re+5oV2Rbhed1xSSoeGi32RwZXlr7+lNuW7vcga3ornh+9Djqqy2OpLnW5+Yx0vtbrrpoR3DHYfr3749LL70UW7ZsQZs2bRD67wvi7LPPjnoNP6mi8a+//hr1LMHjqQb8QqHQSUscO46DvDxpFRkiIiIiIiIiIirWXO0afsHWtGlTNG3atNC29u3NdSB+a/DgwQCOjqWNGjUKqampBb/Lz8/H559/josuuiimPqkG/P7xj3+Iv/v0008xdepUcVSSiIiIiIiIiIiKv1iq7wZVfn4+Zs2ahffffx+//PILIsfFND744APxb9esWQPg6Ay/r7/+GsnJyQW/S05OxoUXXoghQ4bE1C/VgN8NN9xQZNu3336L4cOHY9GiRbjtttvwwAMPxNQRSTgFCB/XS1fIKUjRFynSm51t/oO8XHM7tiq50okq4nl9u8r4lbXn3M6Jzq+YpRgr8zhyG+QqvdrnSnqMF1YsGucBjlYwN7ajjK1r46MxLB3hKak/mqivRBv1ff1M83Ml0ca1pftq67n1WnGMHmsfY+m8oH9daZ9b7blat3SKuIyGFL9UxsSkpVzkSrTKZT3UsbLoY65i35WRW/l6aCmKa2n/eFuKQ6reK5Giu6FE3bVVqjJMZJt0nvXjM4Ot6K526QF52QdlNFi79IBBLoOOxyk5M/zuvvtuzJo1C+3bt0fDhg1Pmoz9rQ8//BAA0Lt3bzzxxBNIS0uz1q+Y1/Dbtm0bRo8ejdmzZ6Ndu3ZYu3YtGjZsaK1jREREREREREQUPC68rdIbT+bNm4f58+fj+utjX1dz5syZFnt0lHrAb//+/Zg4cSKmTp2Kiy66CO+//z6uuOIK6x0jIiIiIiIiIqIg0hXtCPLgYHJyMurUqXPK7axYsQKvvvoqMjMzkZOTU+h3CxcuVLenGvB76KGH8Pe//x1Vq1bFyy+/bIz42pYYjiApMbqDJCJUBktMFrYnmecLy1Ff8wH4xcUdjNsvXb3IuJ2A9tveNW5fXO1a43a/oqy2onL6alDe0kaVtdWvbFXv1UzF9ysmbov2OZEfYztxLVtxUL9ipQmKY0eMrAvHlBSz1kZK3qxqPt9p49pSxXlb1cFt0Ub04y2SbBKUatbayJd+CRNbEWM77WhjtN7HYv24TY+juz4d+2LkVojcSftLEb0E4ZORFNHVti/t77rRP/777jQvN1HuGTuV5Sk+SdV4vXwtaqvxiu0oo7tJidL+dqqAi69b5evcJIFx/kJc19XVeAjww3fvvffiiSeewJNPPqmK8/7WvHnz0KNHD7Rt2xZLly5F27ZtsWHDBuzYsQN/+MMfYmpTNeB3//33IyUlBXXq1MHs2bMxe/Zs436xjDwSEREREREREVHwucoZfkG2bNkyfPjhh3jnnXfQoEEDJCUlFfp9NGNkEydOxGOPPYYBAwagTJkyeOKJJ1C7dm3ceeedOOuss2Lql2rAr0ePHjGPVhIRERERERERUUlQcqr0litXLuZZeMds3LgR7du3BwCEw2EcPHgQjuNg0KBBaNWqFcaOHatuUzXgN2vWLPUNnKqksIukpGgPEvN++UK1nJCQ7UgQphFnHzZvzxWivmSPrUqI2miq2H6cVaHTkl74tqpoShUYbbAVXbB1LGiJVS7V8fFgR3e9rtjaJdtcAddEqoprK+ImxQilGHdikrkdqfCb9HoOcpVrIJZYKXkds/T6mNLG6+Wqu94+DprzclBeh9qqmFq2onXa6K5UXTchwU472v5IpPtrek1IkcFfB15j3F76yX/qOkO+ev+c2Bf8/y3TuUc6N4pVw8Xt0nJZ5u1Jwnapfakd6TwSUr6eE4TXs6Yar9R+Yi7fvPyWCxcRV/OmP7jjKjYKblSoUAEHDhwAAFSvXh3/+c9/0KhRI+zbtw+HDh2Kqc2Y3ob06dOnoCO/dfDgQfTp0yemjhARERERERERUfAdXcMvEvVPSXfFFVdg6dKjkxY6deqEu+++G3379kXXrl3RunXrmNpUV+kFgNmzZ+PBBx9EmTJlCm0/fPgw5syZgxkzZsTUGSIiIiIiIiIiCjpdpDe48/uOWrBgAebPn2+ssLt69eqT/v2TTz6JI0eOAACGDx+OpKQkLFu2DDfddBNGjhwZU59UA35ZWVkFlVYOHDiAUqVKFfwuPz8fb7/9NipXrhxTRyQJSREkJBUe7dVOk09IMm9PCgsVD3OF6chh8/Zz3mE1Xq9pK5hKp4vrfjZXB5YqX0n8iujYiimJFV5j+grA0L5QMVvfTtF+Wov0WnoOtc+J9NhLUTYx4ibMjpfi1NLSA/LjYKvCo8TcTvdsc/RoZsj8rVbvyPvK242eNk594873jNul6uPqytJCxEUboQ9OVNbOa4v0vI7Een3+DXrVdhukiK69ZTG01TKF7UI8VY7cCf0RI7e6/miju9oooTYyKD0OJq6l914Un9SVcQ2vUencKEVo/Yruiq9D4fWmjejaqsZtkhj4ISu7SlLRjilTpmDEiBHo2bMn3njjDfTu3RsbN27EihUrMGDAgJP+fV5eHhYtWoR27doBAEKhEIYNG4Zhw4adUr9UH+/LlSsHx3HgOA7q1q1b5PeO48S0kCARERERERERERUXRyeLlQRPPfUUpk+fjq5du2L27NkYNmwYzj77bIwaNQp79uw56d8nJibiz3/+M9avX2+1X6oBvw8//BCu66JVq1Z47bXXUKFChYLfJScnIyMjA9WqVbPaQSIiIiIiIiIiCg79DL/gDg5mZmaiefPmAICUlJSCmhfdu3fH7373Ozz55JMnbeOyyy7DmjVrkJGRYa1fqgG/q666CgCwadMm1KxZE47j/dTxxGQg8bgqvdJ0W4k2ApxcMmad+uqdGtdZaafjDnNEV0uaUm6LNl7keRVgj++vRB+5866fth5jbcRCG3eWHjMp5p4nRnd18QipHW2VYUmnrOir6ALeRne7/Grui1S911bVcC3xMRYqy9uqwBxvxCUefDqvmfgVLw56BXlbUVzta85W/NVKVUxlVNbWfZWq8WrP7TaqXMbSvhjdFSN63kZ3vawCKpGWa9h3Z1vjdml9/PLPLon+Rsk6W+dx0zlGPr/oorvyOdO8PSjRXak/4hIAhttNVI5TFHeuixIzw69q1arYvXs3MjIykJGRgc8++wwXXnghNm3aFPVj0L9/f9x77734+eef0aRJE5xxxhmFfn/BBReo+xXTil0ffPABSpcujVtvvbXQ9ldffRWHDh1Cz549Y2mWiIiIiIiIiIgCr+Ss4deqVSssWrQIF198Me644w4MGjQICxYswMqVK3HTTTdF1Ubnzp0BAHfddVfBNsdx4LouHMdBfr4w8+IEYhrwe/DBBzFt2rQi2ytXrow//elPHPAjIiIiIiIiIiqhXACawEmQ5wJOnz4dkf9Ote7Xrx8qVKiAZcuWoUOHDujXr19UbWzatMl6v2Ia8Nu8eTNq165dZHtGRgYyMzNPuVO/5cAtMu1WW/lKjEFI03aVFcNIJlW/laaC6yuD6nx8Xnvjdq8jt+rKWtaq6FlpRm5f2c8gRAz9euylqKz0mEn75yWZ9xer9Gabv3WTXhP5QiRZigDftNtcuTYIpKiv1nU/v2Pc/l6GeWkDexFgn6L7JeOLXAD6Ss4UG6+PZRvVLyVeR3e9jCMfbd/barxShFZ+r2/eLrHVjty+nYiudrkiDSm6K1X13dW7nXF7pZnBvZ4HiVTpVsu4xID2PKJdAkA4X2hfJ1q2zgsSzXnK1rmluIi4QL5bMt4ThUIhhH7zwuvUqRM6deqkasPm2n3HxHRIVq5cGV999VWR7V9++SUqVqx4yp0iIiIiIiIiIqJgirgO8iLR/wR9ub9///vfuP3229GsWTNs3boVAPDCCy9g2bJlUbfxwgsvoEWLFqhWrRo2b94MAHj88cfxxhtvxNSnmGb4denSBXfddRfKlCmDK6+8EgDw0Ucf4e6770aXLl1i6oiGesFeaVRe+DYtMVnYv5T54To85vfG7Slj3jJ3qJj6sG7R2XPyt+bamXy2Zl1Z+sbb0iLZ8u162770zZzYvrVvq3TfCAaZvpiHbn9pRp00ky9ROUNZ+jazzaa3Ve2QrN1m88w/aSayltczkSXaY1m63SDPFPSraAfFxo8iTp7P2BPaSRKK/Ohn8uneW9sqziHub2mGnF8z/yQ2zsvyB2jh8xRnKJ8WK5t2NG5PFF6jWqZzgPa8oy3moy7ywwIXxd7RGX5+9+L0eO2119C9e3fcdtttWLNmDbKzswEABw4cwMSJE/H22yf/DPX0009j1KhRuOeeezBhwoSCNfvKlSuHxx9/HDfccIO6XzFdRsaPH4/LLrsMrVu3RkpKClJSUtCmTRu0atUKEydOjKVJZGdnIysrq9APEREREREREREFy9E1/Jyof4Js/PjxmDZtGp599lkkJSUVbG/evDlWr14dVRtTp07Fs88+ixEjRiAh4X8j8U2bNsXXX38dU79imuGXnJyMV155BUOGDMGmTZuQmpqKRo0anVLmeNKkSRg7dmzMf09ERERERERERP5z3ZJTtOO7774rSL/+VlpaGvbt2xdVG5s2bULjxo2LbA+Hwzh48GBM/VIP+O3btw8jRozAK6+8gr179wIAypcvjy5dumD8+PEoV65cTB0ZPnw4Bg8eXPDvrKwspKenwwlFP71ejBfYiiMK05odnxZGjzemhamlqeD5QlRLKkQQ29B0Ub4thu1T5NZWpM/WotSy6NsPyvR/7WMgLaotSRAiH8lh8w1LEeDffblId8PkuURLC3ZL7WjPd3SCa5PXtxtnhY6kYyfe+uk1G0VEbL0vsFVwRHv9DyXo3nPbKs6hLhZiKVrr10L8pv7bikfn5wnHsfDckl1ScQ5b12LNZwl7RXvsfBaXzhcUPBE4JaZox1lnnYUffvgBtWrVKrR92bJlOPvss6Nqo3bt2li7dm2RiXTvvPMO6tevH1O/VMMoe/bsKViA8LbbbsP5558P13Wxfv16zJo1C++//z4+/fRTlC9fXt2RcDiMcDis/jsiIiIiIiIiIoofLoAAL8mscuedd+Luu+/GjBkz4DgOtm3bhuXLl2PIkCEYNWpUVG0MHToUAwYMwJEjR+C6Lr744gu8/PLLmDRpEp577rmY+qUa8Bs3bhySk5OxceNGVKlSpcjv2rZti3HjxuGxxx6LqTNERERERERERBRsRyO9mhl+wZ0NOGzYMOzfvx8tW7bEkSNHcOWVVyIcDmPIkCEYOHBgVG307t0beXl5GDZsGA4dOoRu3bqhevXqeOKJJ2Iujqsa8Hv99dfxzDPPFBnsA4CqVavioYceQr9+/Twf8LNVSdBe5VEC5Cihhq1YkFT5SupjUKI1EnkKvZ0qd35Nxdfcrq3Yjtek+6SN9EaEKE4kYt6ekGTcTHGo+de6Cu/S+U6MCwnHoK0oMXnP6wrGXr8/CkoFZhvVlv2oAAzo3xdol8uwFd0NCRXkxcig1/1Utm+rKqmqHeGYkpYYko5AJ0m4ryWlpGaMvm9jvua6wqCG9H5NuuYmKgc8bJyv5ffQyii+8nOEPurvbfVudVze0L4T6FXo7DtatEOxf8AfvgkTJmDEiBFYt24dIpEI6tevj9KlS6va6Nu3L/r27Ytdu3YhEomgcuXKp9Qn1WG9fft2NGjQQPx9w4YNsWPHjlPqEBERERERERERBVfEPbqGX7Q/XpowYQKaN2+O1NRUse5EZmYmOnTogDPOOAOVKlXCXXfdhZycHNXtpKamomnTprj00kvVg33H/PLLL1i/fj2+//577Ny5M6Y2jlHN8KtUqRJ++ukn1KhRw/j7TZs2oWLFiqfUISIiIiIiIiIiCi7tDD8v5eTk4NZbb0WzZs3w/PPPF/l9fn4+2rdvjzPPPBPLli3D7t270bNnT7iui6lTp4rt9unTJ6rbnzFjxkn3ycrKwoABA/Dyyy8j8t84REJCAjp37oz/9//+H8qWLRvVbf2WasDv2muvxYgRI7B06VIkJycX+l12djZGjhyJa6+9Vt0Jr1mr6ikcrW68HMWnyerLhLhsqehH5eXqvbrH8stmNxi3h8PaKrpeR2uF/R1drslWtNZWhTd5f137msfZ6+n58UaK+rrC2VuKxWsjwxQc0vlOrNIrROik8xGr69HpIi1J4DVvz4/evh68fn1qo3W2rv9yFWBvI4MSr98Hae6XFN1FgvQg6KK+cfPp3Gcb2pk/70ik96cJQnRaW4zXy/ezfizFc3R/7etZaEcZJfb69Uz/kx9xkKu4tnt59hk7diwAYNasWcbfL1myBOvWrcOWLVtQrVo1AMAjjzyCXr16YcKECUhLSzP+3axZs5CRkYHGjRvDPcVM8h//+EesXbsWixcvRrNmzeA4Dj799FPcfffd6Nu3L+bPn69uUzXgN3bsWDRt2hTnnnsuBgwYgPPOOw8AsG7dOjz11FPIzs7GCy+8oO4EEREREREREREVD0dn+AVjjejly5ejYcOGBYN9ANCuXTtkZ2dj1apVaNmypfHv+vXrh3nz5uHHH39Enz59cPvtt6NChQox9WHx4sV47733cPnllxfqw7PPPhvzxDrVeHWNGjWwfPly1K9fH8OHD8eNN96IG2+8ESNGjED9+vXxySefID09PaaOEBERERERERFR8B2t0hv9j4uj0dusrKxCP9nZ2Z73dceOHUWK05YvXx7JycknrFPx1FNPYfv27bjvvvuwaNEipKeno1OnTnjvvffUM/4qVqxojO2WLVsW5cuXV7V1jGqGHwDUrl0b77zzDvbu3YsNGzYAAOrUqRPzKObJOCG3yLRbWzECdVXPfCHzkWvefnhke+P2lAcW6243zoQV1Xj1laOkymN2qkSJt6o8FjyvKuVhJBawF4v1Y0q8rXiOxNoSAEpSdTcpaiZF38QIsE9ROfJeUti8PZRgPhgSpKqYUtQ3zs5HRCcjnU+1glJNWMNWBWZthE5sx+OIrrrqrrZqsPr9o9SO8AemJWeE6K6TJDQibRekjNFVii+upGul9D7L6/i7ltfV1k1sXc+9/txh6zxijtxH07OSw4Wy8LcLzJ07F+3atSu0efTo0RgzZkyR3ceMGVMQ1ZWsWLECTZs2jermHafoOdd1XeP23wqHw+jatSu6du2KzZs3Y9asWejfvz9yc3Oxbt26qIt3/O1vf8PgwYMxZ84cnHXWWQCODkQOHToUI0eOjKqN46kH/I4pX748Lr300lj/nIiIiIiIiIiIiqGI66gjvd26dcOUKVMKbQuHzd9uDxw4EF26dDlhe7Vq1YrqdqtWrYrPP/+80La9e/ciNze3yMy/E3EcB47jwHXdgsIb0Xr66afxww8/ICMjAzVr1gRwtHJwOBzGzp078cwzzxTsu3r16qjajHnAj4iIiIiIiIiI6HjaKr0ugOTkZLFAxvEqVaqESpUqxdS34zVr1gwTJkzA9u3bC2bXLVmyBOFwGE2aNDnh32ZnZ2PhwoWYMWMGli1bht///vd48sknce211yKkmG574403nspdMIr7Ab9QoltkSrV2uq2tKc1iNV4h0itNrQ9K1Pf7NubqVFJ8TDOF2a8qcbaiZv5Fdz2uEudxBVx1jN7AVuVkeX9d+1raapBSFDc/TxnpDciCuaQnVgBURncTxKqY5tu1FcWTMBbDuPPJeH1e87J6r18ViSW+Ven0aYkRbUTX1mcP6fxrjO4CcJIMtVylKr1SNV5TGzhBtd8S5udbzJ/LEpN1j4+tytK22HpNeyneluPRnl9Mr/MQq1wX4rpAfpx8BsnMzMSePXuQmZmJ/Px8rF27FsDR5elKly6Ntm3bon79+ujevTsefvhh7NmzB0OGDEHfvn1POADZv39/zJs3DzVr1kTv3r0xb948VKxYMaY+jh49Oqa/O5G4H/AjIiIiIiIiIqLg0M7w89KoUaMwe/bsgn83btwYAPDhhx/i6quvRkJCAhYvXoz+/fujRYsWSElJQbdu3TB58uQTtjtt2jTUrFkTtWvXxkcffYSPPvrIuN/ChQtV/f3111+LRIKjnfn4WxzwIyIiIiIiIiIia1zlGn5ejg3OmjULs2bNOuE+NWvWxFtv6QoX9ejR46RFPaK1adMmDBw4EP/6179w5MiRgu3HCofk5+er24z7Ab/EJBeJQlzpeNamTAvT6kVC9V6x13E2hf6nG35v3J5Uyry/jbisNiorV02zFAXxuNqcJN7iqepqdj5Eej1/PYu3q2tHXAJAIpSwkiJlUqQ3kq+LAO/q3c64vdLM98w3bMmhe9uq9tc+nqbnK/WRJao2giKplPkgESNlQuxIjPpK1XuV502pHYl0vtBWnLZx3tHyK47MCPBRQY76yrfp7X3y43VyIkF5/6KqrgvAkW5YU3lXjO4KbUjvX5JL1roJO3tea9wuRXel2L302UOO9Jr74/VnBg1tX2ydj4rjeSfBjwtEHIu4yiq9AXSyQUSN2267DQAwY8YMVKlSxcpAYtwP+BERERERERERUXBEXCBPMUDsFvPBwZP56quvsGrVKtSrV89amyXrqx0iIiIiIiIiIvJUBEdn+EX7U9Jdcskl2LJli9U2436GX0IpBwnhaEeF/YnKilGziC5j/evAa4zbc7PN47K5R8zb83LN26UZxtqqu5oYrbqqmRjdjfom/3u73lZZ096uvL+ufW08VV2BLcFcyU2kbN+xEa9V3yd/zgvirUpXM+E84gr7S1XA3CN55uaFSK/Wofuvs9IOhKqBEm3vTcfa4RHXm3cWjql4q5y+rYu5/9I5XIziKqO+2mq/0vlUG+nVkiJGvlTq9mkpAfUrRYgRljjC0ixeUi/7oF3ZSLrW+HRNtEV+TVi6X9rXhBSvlR5nqf9iBNiwXRP/1bZdDBzo38a4XYruah8HbQVm7WeMYFyzLF3PbY3wxNF5LZGX1UK0kd6SPub33HPPoV+/fti6dSsaNmyIpKSkQr+/4IIL1G3G/YAfEREREREREREFRzxV6Q2CnTt3YuPGjejdu3fBNsdxinfRjlBaMkKlCo9s6r8VFViaaePkmh94N9f8jbE00yY/X5qZJ30jZdyMxCTdN9XaxWRVxTk8nmlnbxFl6RtXj7/pVbYjsjXzz9JsD/3MQsX+vs2csUM8f0nnI7GYh7A91XxaDwnnI8nhke2N251S5pl5+ufch69AlbN4jky4wbi91Ig3bPRGrdQZuou89vyYIC44LmxP0p5PhVmd2mNHOvaFa7E088eRZpka+uP5OVzL69neWkGZKejDTD4ta+9xCUD8Hfvy+fHU3wdp206+a0H0txmHDo8xFx1MSJEeH6HAlfD4qD97aK+JEuW1Uj2b1Hib8TND7nTw8ryQcCTXs7aDyC1BUd2DBw/ijDPOOKU2+vTpg8aNG+Pll19m0Q4iIiIiIiIiIoo/x9bwi1aQxwarVKmCTp06oU+fPrj88stjamPz5s148803UadOHWv9CshXskREREREREREFATH1vCLumhHgEf8Xn75Zezfvx+tW7dG3bp18eCDD2Lbtm2qNlq1aoUvv/zSar/ifoZfQqVUJKQcF+nVzguNCBEOKSonRN/E7YfMU3fdiDCl17ymvkiaOp5Uys7isFqqmJg6dmCnaISV6e2A51FZK9GOE+zvabQWsHZQqeJyfj2HSlIsy+tiHtrznTXia86n75VMj4PyMZCew5zHbjZuTx70mnF79iM3mds/Yo6gRg7kGLeH07TLNSij+9rzqbRAvLY/StLzkjrmXVU7UmzddCxbO7drWboWSHzrZ3FVUnJLNpW0Y0d5TfSl2FmcyX26s3F7QoVSxu0RabmG/dnGzdLSTNKyD2JxFBsFWQB71xUvY+I2btMmP15XgoTDjPT+luuWnDX8OnTogA4dOmD37t2YM2cOZs2ahZEjR6Jdu3bo06cPOnbsiMTEEw+/dejQAYMGDcLXX3+NRo0aFSna0bFjR3W/4n7Aj4iIiIiIiIiIgqMkRXqPqVixIgYNGoRBgwZh6tSpGDp0KN5++21UqlQJ/fr1w/3334/U1FTj3/br1w8AMG7cuCK/K7ZFO4iIiIiIiIiIKDhKUtGOY3bs2IE5c+Zg5syZyMzMxC233II77rgD27Ztw4MPPojPPvsMS5YsMf5tREpqnYK4H/ALVSyFUGpydDtr54tqI71HzFncyK/ClO+wsP2QuZ0EqcKgNLVbmlKujFlpSdO7jVPfpSnTtiqtitPqhcdMuF1b8UgxxqmN7ir7L7IUGfa8AquiP77FC5S3K+7tcZVxdYVHW1dhv2Icmv4LFTrF160yZi3FjsTzlNB+qIxwzRMqMIu8jgXZes6Vx6B0HpSi0+LjnJpk3G6U7PFj6XUcKc5iWX5VSac4FJQKz2RNzpOdjNudUubPTaGyYVX7TpI5uiuRKryHwuZrrtTPwJzfTTxewsjW7UrsXYtPvT+hQ8rlqYq5fBcQhlaMgjw2uHDhQsycORPvvfce6tevjwEDBuD2229HuXLlCva56KKL0Lhx46jaO3LkCEqVMi9doBE3V9ns7GxkZWUV+iEiIiIiIiIiomA5FumNumhHgPXu3RvVqlXDJ598grVr12LgwIGFBvsA4Oyzz8aIESPENvLz8/HAAw+gevXqKF26NH788UcAwMiRI/H888/H1K+4GfCbNGkSypYtW/CTnp7ud5eIiIiIiIiIiEjJdR3kK35cOSMV97Zv345nnnkGl1xyibhPSkoKRo8eLf5+woQJmDVrFh566CEkJ/8v8dOoUSM899xzMfUrbiK9w4cPx+DBgwv+nZWVhfT0dDjlysA5I8pIryVOnlBGN8dcdSeUbd7fFaK70tRx1XxXQIzueh2/1ESJpQpX4pRpbUXPRKH9k1TAKUL5nLtCBSap6qYUJRRpY9x+xVa9rsyq6Y9f1WD9IsTNPb9MxlupLcVaF1J035HukzY2LbWfbz5PJd4117g9Z8ot5vYlXi8BoKWtLC2wVm3dQn+8Xk7B63hUYKrxWuqnlxUYybKSdu3WMlzj5GVodOfY/Fd6GrcndJ6takeSN/t243Zp2QpHWLbCSRE+B0rvg4THIaS9BkkRY2k5COlzmefnzQC8hqRzu/bzmi3az6GKx9hJzomhQ8WXC+WpKc4+ZpzM8anUE6VU09LSTtrenDlzMH36dLRu3bqggAcAXHDBBfj2229j6mPcDPiFw2GEw7o1GoiIiIiIiIiIKL5EikFU90TKlSsHxznxoL7rulFX2N26dSvq1KlTZHskEkFurnnC0cnEzYAfEREREREREREFn3bAL2hjgx9++KHV9ho0aIB///vfyMjIKLT91VdfjbrYx/HifsDPSSsNp/QpzvzTTnUWpoi7wqisFAF28oRRXG25ZW2EzlZ0R3rcFDFaJ0GK9EpTpqUp38p2pP0l0mN8RKj0dfiIcbMj7S9Eg8XbFR9j5eMgkY5BqT+2Itja/mj4FWnwoHx64faVr3+v+2OLD4+bXDlZej3o4kLicg3C/vlzexi3hyqkmNsR+FXxVB1tFtpJ7PmiuZlXe+k7ZaLsp4m6+rVAX7FdiOiqI8bK86PX7yNs7S+241OkNwjROomtc7LXj0GQH2Mghs8ARfdXf76QIq43xrYAfLTEiK5Q/RapwrVPej1LSy2lCp/XtEstSP1MFiK92vfott5ba/b3eOkO9e2KS5J4XOnWw/OIk6CrEl3cuW5wPprE4qqrrrLSTp8+ffDEE09g9OjR6N69O7Zu3YpIJIKFCxfiu+++w5w5c/DWW2/F1HbcD/gREREREREREVFwuCjeM/yOt2/fPnzxxRf45ZdfEDlupLNHD/MX/QAwe/ZsPPjgg+jQoQNeeeUVTJw4EY7jYNSoUbj44ouxaNEitGnTJqY+ccCPiIiIiIiIiIisKe5r+P3WokWLcNttt+HgwYMoU6ZMobX9HMc54YCf6/7vQWrXrh3atWtnrV/xP+BXPg0oU6rwNmleqK3IijBN2VHGvqzxuiqmtv+ayri2pqs7UnVa4RCW9pe2u8JjUFqKawsVmI4I26UqwBKpapU2LqA9Zm3F0CXSsaztj4Y2SqGlvU9iO7r9f3thiKodv85Tfs3j19yupb7rY1bKSstxFlsXqxtL91c4f0Xe/bO5/bJnnLRrUd2uluF5FJ9bW/yIdtm8XbF9j6PEfvVTbIfVgT1XXCO9mvOpdD6S3mt6/DlCPIeXESK6pYSlmqSorPScK/d3SgmPm7aCrKVld/TLHlmIBmuXPNJ+vtDSLs3kdTxaonndJpmXfSqpinuV3t+699570adPH0ycOBGpqanqvz9Z8Y9Yxf+AHxERERERERERBUaeC+QoxocDPN6HrVu34q677oppsA8A6tate9JBvz179qjb5YAfERERERERERFZ4xbzKr2/1a5dO6xcuRJnn312TH8/duxYlC1b1nKvgjDgd0YacIauYmHUbFU29ZqtfkqxVe12KRYbMkV6PY5eaKO7WtrHppQyuis+lh7fL0m+0H9bx44Y3ZWi0Ib4hdcxAlsRYFsRGjFOqYwF2Yr62IgjnWC7GFX2kq0YtF+x5qDEtb2O7mhp7pdYad2nyqZ+RVD9ihhba9/O46aK3QQ9guqXkva4SdfEfMP7IOl6niecS72+RpRWzmYRorJOkrL6rSRF+NyoXV5H+z5RG/VVX/uU10TTskfazx1+0XzWBOQlnqT9JVY+7xzW3WYx57rer07mpzfffLPg/9u3b4+hQ4di3bp1aNSoEZKOO6d17NjxhG116dIFlStXtt7H+B/wIyIiIiIiIiKiwIigeBftuPHGG4tsGzduXJFtjuMg3/QFzm9+7xUO+BERERERERERkTWuC0QiisGsgA0ORizNoPYy4RT3A35OqTQ4KbEtfPi/RixNU9a2I03/tdW+VsQ8ld11lZUlFdO+HUc5DT8gxMfMEvXj5vWxIxGOcfHxkSLD+UKk17S/drq9RBsH9/oxtlUJTfv4aGPc0v6WosS+VUPXUMeX/amorK7kLPEpRq/+ttNSJMkYoZOiV37lVPyqBhuECG0st+t19NjGbYrteHwseH2MB+VYtkV5nXAihnOPUN3VTVS+n1dy14w0bnekCK1ErIorRV+V1XLF27X0Opfio9pYqbS/JN7et3pJGT12QlLFZuk5UT42ivfKTo7QlxLKjTiI5Ed/ng/YeF8hc+bMQefOnREOF65EnpOTg3nz5qFHjx7i39oaODQJ8JmAiIiIiIiIiIjijes6iESi/wmy3r17Y//+/UW2HzhwAL179/ahR0fF/Qw/lEoDSp3iDD8t7ai/9C2EXzP8lAUTHFsFGYyNW3ostWzNApMeM2V3PGfrmNXuL2wXjylhlqlUtMONGBbK1xal0fJ4QWNrs16V5x31TF7puZK225opqH0e4+l8JPUlVyj4oC2kovz2T13YRWIqnhNDf0Tahcg9LqyjmVFjTbwtmO71rCuv76/XxT/84FcRG7/4NfPPc8pzien8K8xsc8Rzte65ddePN/8i2dLMJe2xLM3w82sGXkKyan9x9pmtmXk2Cv1pi+15/RlXPRtTeK5sFUfU3N/c+B9eOZ3iJdL7008/4YEHHsAHH3yAHTt2oFq1arj99tsxYsQIJCf/7zWdmZmJAQMG4IMPPkBKSgq6deuGyZMnF9pH7LrrGhMJP//8syfVd6PFI5KIiIiIiIiIiKyJuLqZe1599fTtt98iEongmWeeQZ06dfCf//wHffv2xcGDBzF58mQAQH5+Ptq3b48zzzwTy5Ytw+7du9GzZ0+4roupU6eKbTdu3BiO48BxHLRu3RqJv/mSIj8/H5s2bcK1117r0T07OQ74ERERERERERGRNW4EqjX8vHLttdcWGnQ7++yz8d133+Hpp58uGPBbsmQJ1q1bhy1btqBatWoAgEceeQS9evXChAkTkJaWZmz7WKXetWvXol27dihdunTB75KTk1GrVi3cfPPNHt2zk4v/Ab/kFCD5NEd6/T8mT400NG4rumsjOun1ArMeR3rVbMVNtWxNoddOlZdIcVAhHuFIxTyMbXscL5TE26LIwrEmxjuV8Wt1NNjr84uX5yOvj3tlxN3zeLQ2ApyjjCprKYt82Ir0Gh8HbZTNVh+tFXbwuCiFjUjZidg6lm09njbi8rb6WFwjvUFh67wjtq84HpTHpfvdBOE2zffJOX+UuZ0Nk4R2LC3XIJ1HpMit9pqeKET1hO1iRFdqx9Z7Ce3jYyPSq4362mLrvbgfhU6k4jklVCTiIC9PcyyevoGY/fv3o0KFCgX/Xr58ORo2bFgw2AcA7dq1Q3Z2NlatWoWWLVsa2xk9ejQAoFatWujcuTNKlSrlbceV4n/Aj4iIiIiIiIiIAuPoGn6K/XG0qm1WVlah7eFwuEj121OxceNGTJ06FY888kjBth07dqBKlSqF9itfvjySk5OxY8eOk7bZs2dPAEf7/8svvxSpvFuzZk0LPdeLs6kpREREREREREQUZG7EQSQ/+h+4wNy5c1G2bNlCP5MmmWcSjxkzpmD9POln5cqVhf5m27ZtuPbaa3Hrrbfij3/8Y6HfmYpuSMU4jrdhwwZcccUVSElJQUZGBmrXro3atWujVq1aqF27tuJRsyvuZ/hFkI8IvJka60rZV2mzFJXzKdLnCNljRxjHFftpqxKlhtiXU28agH7FT+k+ScXUbEV0vY76elyNV/18OULcwePKuFZ4/Tq3FVmT2nGU+0vV5rQxDq8jun4sMWDreFVWSDZWrQa8r3gstZ98xLxdiiRrqw97XZXUBlsRK1uRWK9vVxuVE9rXVisXlxLQHvteX7tN/bEVlfP6ehj0JUyCQv2+0kKFcEvPrbt5svkX0qwbbVVcj6O7ToKyWq62eq/yPGgtVqppR3v51C4T5TVLn0dcV4i5Wxhz8GrcIqjUVXoBdOvWDVOmTCm0TZrdN3DgQHTp0uWE7dWqVavg/7dt24aWLVuiWbNmmD59eqH9qlatis8//7zQtr179yI3N7fIzD+TXr16ITExEW+99RbOOuusqAYJT4e4H/AjIiIiIiIiIqLgcGOo0pucnCwWyDhepUqVUKlSpaj23bp1K1q2bIkmTZpg5syZCB03GN+sWTNMmDAB27dvx1lnnQXgaCGPcDiMJk2anLT9tWvXYtWqVTjvvPOi6s/pwgE/IiIiIiIiIiKyJhJxkK+p0utR/aht27bh6quvRs2aNTF58mTs3Lmz4HdVq1YFALRt2xb169dH9+7d8fDDD2PPnj0YMmQI+vbtG9UAZP369bFr1y5v7sApiPsBv4ibj4gU5TiOGNH1mBg18ZgU6ZXSTtKjI0WA5Ru2MT1VF6f2nPY+CXEkz6fuyk+irhlhKrt8s8Ixrny+xLi5rQpmqs7EUVwY0Me+pO57HWXzK/blR3zEr1im1B0pvihV+7VVXU+olu0mCVXIpOra2v5LvK7yrmnHVlTL0rEmRmVt3a6tKJu0v8DRxs29fk0o2nfzhSi+1+dqSbxdI4ISAQ7KUi422Kpyq43WaiO0Xi/H4UfkFvA2nip+/NK9oZc+70jv811YipVDOvcKm314vUU7blFSxBLp9cKSJUvwww8/4IcffkCNGjUK/e7YayghIQGLFy9G//790aJFC6SkpKBbt26YPFlYzuA4f//73zFs2DBMnDgRjRo1QlJS4XNdtLMWbYv7AT8iIiIiIiIiIgoOfaTXm8HBXr16oVevXifdr2bNmnjrrbdiuo1rrrkGANC6detC248V/cjP92cwmAN+RERERERERERkTbzM8DsdPvzwQ7+7YBQ3A37Z2dnIzs4u+HdWVhaAo1OMj59m7Mf0XD9J1XWl6df5rnm6sxQBhqVqQn5VK44rfkWS/bpdNfNrV0wqG44pbWxaji/786CJ/RdfP9oq2rrd1fEibcHAIEd3vW5fe7sJQmxKG1+UiLFJ8+06YqRXF7NURx4llqonG2OxflXLtdW+9na1yywoo2naZSUcR4r6Ca8JbWxVe6wpqgOLcWRtvNjW61nZjufL1ti6v37xK5qtYSm674SEKK4U6ZVen5ai/vYit7rd9cviSO99hWuiMhZvY0kr7Wdrvz7zxdsYgOlx8GuJsXjlRhxE4mANv9Phqquu8rsLRnEz4Ddp0iSMHTvW724QEREREREREdEpyI84yMuLfoA4wON9AIB9+/bh+eefx/r16+E4DurXr48+ffqgbNmyvvUpbqZkDR8+HPv37y/42bJli99dIiIiIiIiIiIipWOR3mh/gjzit3LlSpxzzjl47LHHsGfPHuzatQuPPvoozjnnHKxevdq3fsXNDL9wOIxwOFxku+u6cTd993Szdf81scmY2mdVIpEcpy6etDF0+Rgvekypq0oL/Dqv2Oq/rWPK81iGXxWtA0AbCxKFpMdYeYmXupNgKR4pbHe0kT5br13NsR9vUVxt++L+5s22KrlbO8aFZsTzoHR6EStLmqOK4nlKEyXWHsdSXFjicdTXtzO1rYrwXounZStsVd22VqVbat+82VZUVlqqSHwP6nGE1t7nuPgZCQnKZz6vP3+Znltr171iQh3pDbBBgwahY8eOePbZZ5GYePT8l5eXhz/+8Y+455578PHHH/vSr7gZ8CMiIiIiIiIiouDTFu3wqkrv6bBy5cpCg30AkJiYiGHDhqFp06a+9StuIr1ERERERERERBR8rht9nDfokd60tDRkZmYW2b5lyxaUKVPGhx4dxRl+VKIi075VlQry2SsG2qn+qmNQaFv73Eq36fVz5bi6b66k+6WNKdi6X9biER6/JIyV0yyd67w+j1g7J3t92hELTusqTmuPKSkWrz42pcdZFfUVmhYiPXIETWhHu7+rjYPqdpebKZ7XOBvn65C4rIGlysMSW5F4W9Wytbx+b6rtZxDeK9taMkC7LIs2WiudH5Xvy4pjVJbs0j63JW0JptOhJEV6O3fujDvuuAOTJ09G8+bN4TgOli1bhqFDh6Jr166+9YsDfkREREREREREZI020htkkydPhuM46NGjB/Lyjn4Bm5SUhD//+c948MEHfesXB/yIiIiIiIiIiMgeF0BEMdMywBNuk5OT8cQTT2DSpEnYuHEjXNdFnTp1kJqa6mu/OOBnAaeCB4cUNQ0ntLfSfnb+YuP2kjZF3I/XhPTc6uOC5v2TE643bpeec+0xJbWjvV9SP7W3GxSqx1k4FLSvW8fj4zsS9Op3PvVfG7WW+x99G15X4yuuS27E2/sm6VhQ99Jw7Ocj13yblo5XsR2xgLE5YizfrrmCsRYrs5+YjXOJrSUDpKUBtNFa6dj0a0kVopORjsGS9jnOJsd1EdIM+BUDqampaNSokd/dKMABPyIiIiIiIiIisifiwskv3gN+ffr0iWq/GTNmeNwTsxI94MdvkoLD1gw8r8VbP7Wzt9QzCATJoWtV+weZrefcr2Mn3o5ZP8TbYxCUWZfxdg3VFgsiOiaeZqXrGzJv9mtGivh+QfkQ2+p/vJ2nbIi3YhXScxWU2epEJ8OZf7FLiLhIzIv+nOV4nJzwwqxZs5CRkYHGjRt7nvyIRYke8CMiIiIiIiIiIstcwCnmkd5+/fph3rx5+PHHH9GnTx/cfvvtqFChgt/dKqCsSU9ERERERERERCRzXBeh/Oh/gjgp+6mnnsL27dtx3333YdGiRUhPT0enTp3w3nvvxcWMv7if4Zec0BbJCWmFtgUl7iSxtZi/17dLwcfnnCh44u11G/RrLlFJ5FeUldH64JOuQdK1QFssTMJrDQWN6TxbHJcROBVOBCWiaEc4HEbXrl3RtWtXbN68GbNmzUL//v2Rm5uLdevWoXTp0r71Le4H/IiIiIiIiIiIKDi0VXqLw6qIjuPAcRy4rotIxM6aq6eCkV4iIiIiIiIiIrLG+e8aftH+BFV2djZefvlltGnTBvXq1cPXX3+NJ598EpmZmb7O7gMCOsMv3uJOXitp95eIiOKH19cgxriIiOIHz8lUXPjxGTqckHXabzOeaWf4IQ7WvNPq378/5s2bh5o1a6J3796YN28eKlas6He3CgRywI+IiIiIiIiIiOKTE8HRYhzF2LRp01CzZk3Url0bH330ET766CPjfgsXLjzNPTuKA35ERERERERERGRNSVjDr0ePHnCc+O05B/yIiIhILSf/beN2WxXqnDh628eqe1TcaV9v8faa4PI3RPFLOr/YqvBM8ctxlWvzxdelJSqzZs3yuwsnxAE/IiIiIiIiIiKyJpTvIjHX/0q1JRkH/IiIiIiIiIiIyJpjVXqjFsAZfvGOA35ERESk5ld013FCVm5X4rpFv4kOetwx6BjXJCo+pOUgpPMsz6f+4bmXTtXRNfyin+Hn8PVuHQf8iIiIiIiIiIjIGm3RDrKPA35ERERERERERGSNEzm6jl/UODZoHQf8iIiISI1RHyIi0mJlVqKSQ12ll6zzdiEcIiIiIiIiIiIqUY5FeqP90a2YrNOxY0fUrFkTpUqVwllnnYXu3btj27ZthfbJzMxEhw4dcMYZZ6BSpUq46667kJOT42GvvMcBPyIiIiIiIiIissZxoRrw81LLli0xf/58fPfdd3jttdewceNG3HLLLQW/z8/PR/v27XHw4EEsW7YM8+bNw2uvvYZ7773X0355LW4ivdnZ2cjOzi74d1ZWlo+9ISIiIiIiIiKiWDgRV7mGn3eDfoMGDSr4/4yMDNx///248cYbkZubi6SkJCxZsgTr1q3Dli1bUK1aNQDAI488gl69emHChAlIS0vzrG9eipsZfpMmTULZsmULftLT0/3uEhERERERERERablHB/2i/Tld9uzZg5deegnNmzdHUlISAGD58uVo2LBhwWAfALRr1w7Z2dlYtWrVaeubbXEz4Dd8+HDs37+/4GfLli1+d4mIiIiIiIiIiBRWLd+Gw4d2RR3nzc85gpycX5GQkICsrKxCP79Ngp6K++67D2eccQYqVqyIzMxMvPHGGwW/27FjB6pUqVJo//LlyyM5ORk7duywcvt+iJsBv3A4jLS0tEI/REREREREREQUHK/843F8v/lfOHh4d1T7r9v4DtJKn4V//vOfhZKfZcuWxaRJk4x/M2bMGDiOc8KflStXFuw/dOhQrFmzBkuWLEFCQgJ69OgB9zcxYscpWjbEdV3j9qCImzX8iIiIiIiIiIgo2Jo2bYr0qhdj7frX0OLiP51w38NH9uGbDW/jXx/9E02bNi1SKCMcDhv/buDAgejSpcsJ265Vq1bB/1eqVAmVKlVC3bp1cf755yM9PR2fffYZmjVrhqpVq+Lzzz8v9Ld79+5Fbm5ukZl/QcIBPyIiIiIiIiIisubDZS+jzjl1cf4516JC2Zrifl9+9w9Uq9wALVq0ACAP8B3v2ABeLI7N7DsWF27WrBkmTJiA7du346yzzgIALFmyBOFwGE2aNInpNuJB3ER6iYiIiIiIiIgo+GrVqoV6ta/Bqm/mifvsO7AVGzOXYem/5nrWjy+++AJPPvkk1q5di82bN+PDDz9Et27dcM4556BZs2YAgLZt26J+/fro3r071qxZg/fffx9DhgxB3759A73cHAf8iIiIiIiIiIjIqmUrXsLufZuw7Zevjb9fvW4+6mRchbp163rWh5SUFCxcuBCtW7dGvXr10KdPHzRs2BAfffRRwWzChIQELF68GKVKlUKLFi3QqVMn3HjjjZg8ebJn/TodGOklIiIiIiIiIiKrypcvjwvqdsSqb+ah6pkNEHL+N+fs/3Z9i//btR4/b93saR8aNWqEDz744KT71axZE2+99ZanfTndOMOPiIiIiIiIiIisW7ZqJnLzDuPHLZ8UbHPdCFZ+Mw8N6vwelStX9rF3xRsH/IiIiIiIiIiIyLpwOIzpz03B2vULkJd3tEjGT1u/wOEje/HJqtk+965444AfERERERERERF5onPnzkgpVQ7rf3wP+fm5WLN+Pp586hGkpqb63bVijWv4ERERERERERGRJ0KhEF57fSbaXHMtcvOOIDExBT169PC7W8Ve3A74ua4LAMjKyvK5J0REREREREREsmNjF8fGMqiwq666ClUqnY//bHgL7777LhISEvzuUrEXtwN+Bw4cAACkp6f73BMiIiIiIiIiopM7cOAAypYt63c34tLHn76G7rf8HW3btvW7KyWC48bp8HMkEsG2bdtQpkwZHDhwAOnp6diyZQvS0tL87hoVA1lZWTymyCoeU2QbjymyjccU2cZjimzjMUW2nc5jynVdHDhwANWqVUMoxHIJ5L+4neEXCoVQo0YNAIDjOACAtLQ0nvjJKh5TZBuPKbKNxxTZxmOKbOMxRbbxmCLbTtcxxZl9FE847ExERERERERERFSMcMCPiIiIiIiIiIioGAnEgF84HMbo0aMRDof97goVEzymyDYeU2QbjymyjccU2cZjimzjMUW28Ziikixui3YQERERERERERGRXiBm+BEREREREREREVF0OOBHRERERERERERUjHDAj4iIiIiIiIiIqBjhgB8REREREREREVExwgE/IiIiIiIiIiKiYoQDfkRERERERERERMUIB/yIiIiIiIiIiIiKEQ74ERERERERERERFSP/H5hJA76btMEPAAAAAElFTkSuQmCC", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "notnull = pd.notnull(c_season_climo[\"sst\"][0])\n", "sst_c_season = c_season_climo.sst\n", @@ -3651,7 +321,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -3660,603 +330,9 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'sst' (time: 12, lat: 89, lon: 180)> Size: 2MB\n",
-       "array([[[-1.80000055, -1.80000055, -1.80000055, ..., -1.80000055,\n",
-       "         -1.80000055, -1.80000055],\n",
-       "        [-1.80000055, -1.80000055, -1.80000055, ..., -1.80000055,\n",
-       "         -1.80000055, -1.80000055],\n",
-       "        [-1.80000055, -1.80000055, -1.80000055, ..., -1.80000055,\n",
-       "         -1.80000055, -1.80000055],\n",
-       "        ...,\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan],\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan],\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan]],\n",
-       "\n",
-       "       [[-1.79999948, -1.79999948, -1.79999948, ..., -1.79999948,\n",
-       "         -1.79999948, -1.79999948],\n",
-       "        [-1.79999948, -1.79999948, -1.79999948, ..., -1.79999948,\n",
-       "         -1.79999948, -1.79999948],\n",
-       "        [-1.79999948, -1.79999948, -1.79999948, ..., -1.79999948,\n",
-       "         -1.79999948, -1.79999948],\n",
-       "...\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan],\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan],\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan]],\n",
-       "\n",
-       "       [[-1.7994802 , -1.79958522, -1.79983997, ..., -1.7997632 ,\n",
-       "         -1.79962325, -1.79947531],\n",
-       "        [-1.79954541, -1.79974973, -1.80000055, ..., -1.80000055,\n",
-       "         -1.79979908, -1.79957318],\n",
-       "        [-1.80000055, -1.80000055, -1.80000055, ..., -1.80000055,\n",
-       "         -1.80000055, -1.80000055],\n",
-       "        ...,\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan],\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan],\n",
-       "        [        nan,         nan,         nan, ...,         nan,\n",
-       "                 nan,         nan]]])\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float32 356B 88.0 86.0 84.0 82.0 ... -82.0 -84.0 -86.0 -88.0\n",
-       "  * lon      (lon) float32 720B 0.0 2.0 4.0 6.0 8.0 ... 352.0 354.0 356.0 358.0\n",
-       "  * time     (time) object 96B 0001-01-01 00:00:00 ... 0001-12-01 00:00:00\n",
-       "Attributes: (12/13)\n",
-       "    long_name:     Monthly Means of Sea Surface Temperature\n",
-       "    units:         degC\n",
-       "    var_desc:      Sea Surface Temperature\n",
-       "    level_desc:    Surface\n",
-       "    statistic:     Mean\n",
-       "    dataset:       NOAA Extended Reconstructed SST V5\n",
-       "    ...            ...\n",
-       "    actual_range:  [-1.8     42.32636]\n",
-       "    valid_range:   [-1.8 45. ]\n",
-       "    operation:     temporal_avg\n",
-       "    mode:          climatology\n",
-       "    freq:          month\n",
-       "    weighted:      True
" - ], - "text/plain": [ - " Size: 2MB\n", - "array([[[-1.80000055, -1.80000055, -1.80000055, ..., -1.80000055,\n", - " -1.80000055, -1.80000055],\n", - " [-1.80000055, -1.80000055, -1.80000055, ..., -1.80000055,\n", - " -1.80000055, -1.80000055],\n", - " [-1.80000055, -1.80000055, -1.80000055, ..., -1.80000055,\n", - " -1.80000055, -1.80000055],\n", - " ...,\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan],\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan],\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan]],\n", - "\n", - " [[-1.79999948, -1.79999948, -1.79999948, ..., -1.79999948,\n", - " -1.79999948, -1.79999948],\n", - " [-1.79999948, -1.79999948, -1.79999948, ..., -1.79999948,\n", - " -1.79999948, -1.79999948],\n", - " [-1.79999948, -1.79999948, -1.79999948, ..., -1.79999948,\n", - " -1.79999948, -1.79999948],\n", - "...\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan],\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan],\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan]],\n", - "\n", - " [[-1.7994802 , -1.79958522, -1.79983997, ..., -1.7997632 ,\n", - " -1.79962325, -1.79947531],\n", - " [-1.79954541, -1.79974973, -1.80000055, ..., -1.80000055,\n", - " -1.79979908, -1.79957318],\n", - " [-1.80000055, -1.80000055, -1.80000055, ..., -1.80000055,\n", - " -1.80000055, -1.80000055],\n", - " ...,\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan],\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan],\n", - " [ nan, nan, nan, ..., nan,\n", - " nan, nan]]])\n", - "Coordinates:\n", - " * lat (lat) float32 356B 88.0 86.0 84.0 82.0 ... -82.0 -84.0 -86.0 -88.0\n", - " * lon (lon) float32 720B 0.0 2.0 4.0 6.0 8.0 ... 352.0 354.0 356.0 358.0\n", - " * time (time) object 96B 0001-01-01 00:00:00 ... 0001-12-01 00:00:00\n", - "Attributes: (12/13)\n", - " long_name: Monthly Means of Sea Surface Temperature\n", - " units: degC\n", - " var_desc: Sea Surface Temperature\n", - " level_desc: Surface\n", - " statistic: Mean\n", - " dataset: NOAA Extended Reconstructed SST V5\n", - " ... ...\n", - " actual_range: [-1.8 42.32636]\n", - " valid_range: [-1.8 45. ]\n", - " operation: temporal_avg\n", - " mode: climatology\n", - " freq: month\n", - " weighted: True" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "annual_climo.sst" ] @@ -4274,44 +350,9 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2024-10-30 14:46:17,025 [WARNING]: temporal.py(_set_data_var_attrs:869) >> 'time' does not have a calendar encoding attribute set, which is used to determine the `cftime.datetime` object type for the output time coordinates. Defaulting to CF 'standard' calendar. Otherwise, set the calendar type (e.g., ds['time'].encoding['calendar'] = 'noleap') and try again.\n", - "2024-10-30 14:46:17,025 [WARNING]: temporal.py(_set_data_var_attrs:869) >> 'time' does not have a calendar encoding attribute set, which is used to determine the `cftime.datetime` object type for the output time coordinates. Defaulting to CF 'standard' calendar. Otherwise, set the calendar type (e.g., ds['time'].encoding['calendar'] = 'noleap') and try again.\n" - ] - }, - { - "ename": "KeyError", - "evalue": "\"No variable named 'time_bnds'. Variables on the dataset include ['lat', 'lon', 'time', 'sst', 'lon_bnds', 'lat_bnds']\"", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/opt/miniconda3/envs/xcdat_dev/lib/python3.11/site-packages/xarray/core/dataset.py\u001b[0m in \u001b[0;36m?\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m 1482\u001b[0m \u001b[0mvariable\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_variables\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1483\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1484\u001b[0;31m \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvariable\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_get_virtual_variable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_variables\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msizes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1485\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mKeyError\u001b[0m: 'time_bnds'", - "\nDuring handling of the above exception, another exception occurred:\n", - "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/opt/miniconda3/envs/xcdat_dev/lib/python3.11/site-packages/xarray/core/dataset.py\u001b[0m in \u001b[0;36m?\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 1585\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1586\u001b[0m \u001b[0mmessage\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;34mf\"\\nHint: use a list to select multiple variables, for example `ds[{[d for d in key]}]`\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1587\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmessage\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1588\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/opt/miniconda3/envs/xcdat_dev/lib/python3.11/site-packages/xarray/core/dataset.py\u001b[0m in \u001b[0;36m?\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m 1482\u001b[0m \u001b[0mvariable\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_variables\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1483\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1484\u001b[0;31m \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvariable\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_get_virtual_variable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_variables\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msizes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1485\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/opt/miniconda3/envs/xcdat_dev/lib/python3.11/site-packages/xarray/core/dataset.py\u001b[0m in \u001b[0;36m?\u001b[0;34m(variables, key, dim_sizes)\u001b[0m\n\u001b[1;32m 216\u001b[0m \u001b[0msplit_key\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\".\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 217\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msplit_key\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 218\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 219\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mKeyError\u001b[0m: 'time_bnds'", - "\nThe above exception was the direct cause of the following exception:\n", - "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/var/folders/_h/t3wvkks5643fxnv07_kx9cx8000zpt/T/ipykernel_40761/1522253105.py\u001b[0m in \u001b[0;36m?\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdaily_climo\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mds_hourly\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtemporal\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclimatology\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"sst\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfreq\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"day\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mweighted\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m~/repositories/xcdat/xcdat/temporal.py\u001b[0m in \u001b[0;36m?\u001b[0;34m(self, data_var, freq, weighted, keep_weights, reference_period, season_config)\u001b[0m\n\u001b[1;32m 568\u001b[0m }\n\u001b[1;32m 569\u001b[0m \"\"\"\n\u001b[1;32m 570\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_set_data_var_attrs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata_var\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 571\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 572\u001b[0;31m return self._averager(\n\u001b[0m\u001b[1;32m 573\u001b[0m \u001b[0mdata_var\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 574\u001b[0m \u001b[0;34m\"climatology\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 575\u001b[0m \u001b[0mfreq\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/repositories/xcdat/xcdat/temporal.py\u001b[0m in \u001b[0;36m?\u001b[0;34m(self, data_var, mode, freq, weighted, keep_weights, reference_period, season_config)\u001b[0m\n\u001b[1;32m 809\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 810\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_mode\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m\"average\"\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 811\u001b[0m \u001b[0mdv_avg\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_average\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mds\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata_var\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 812\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_mode\u001b[0m \u001b[0;32min\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m\"group_average\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"climatology\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"departures\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 813\u001b[0;31m \u001b[0mdv_avg\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_group_average\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mds\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata_var\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 814\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 815\u001b[0m \u001b[0;31m# The original time dimension is dropped from the dataset because\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 816\u001b[0m \u001b[0;31m# it becomes obsolete after the data variable is averaged. When the\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/repositories/xcdat/xcdat/temporal.py\u001b[0m in \u001b[0;36m?\u001b[0;34m(self, ds, data_var)\u001b[0m\n\u001b[1;32m 1175\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_labeled_time\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_label_time_coords\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdv\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdim\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1176\u001b[0m \u001b[0mdv\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0massign_coords\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdim\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_labeled_time\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1177\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1178\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_weighted\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1179\u001b[0;31m \u001b[0mtime_bounds\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbounds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_bounds\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"T\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvar_key\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdata_var\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1180\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_weights\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_weights\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtime_bounds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1181\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1182\u001b[0m \u001b[0;31m# Weight the data variable.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m~/repositories/xcdat/xcdat/bounds.py\u001b[0m in \u001b[0;36m?\u001b[0;34m(self, axis, var_key)\u001b[0m\n\u001b[1;32m 257\u001b[0m \u001b[0;34m\"Alternatively, you can add bounds with `ds.bounds.add_missing_bounds()` \"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 258\u001b[0m \u001b[0;34m\"or `ds.bounds.add_bounds()`.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 259\u001b[0m )\n\u001b[1;32m 260\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 261\u001b[0;31m bounds: Union[xr.Dataset, xr.DataArray] = self._dataset[\n\u001b[0m\u001b[1;32m 262\u001b[0m \u001b[0mbounds_keys\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbounds_keys\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0mbounds_keys\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 263\u001b[0m ].copy()\n\u001b[1;32m 264\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/opt/miniconda3/envs/xcdat_dev/lib/python3.11/site-packages/xarray/core/dataset.py\u001b[0m in \u001b[0;36m?\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 1583\u001b[0m \u001b[0mmessage\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34mf\"No variable named {key!r}. Variables on the dataset include {shorten_list_repr(list(self.variables.keys()), max_items=10)}\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1584\u001b[0m \u001b[0;31m# If someone attempts `ds['foo' , 'bar']` instead of `ds[['foo', 'bar']]`\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1585\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1586\u001b[0m \u001b[0mmessage\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;34mf\"\\nHint: use a list to select multiple variables, for example `ds[{[d for d in key]}]`\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1587\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmessage\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1588\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1589\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mutils\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miterable_of_hashable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1590\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_copy_listed\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mKeyError\u001b[0m: \"No variable named 'time_bnds'. Variables on the dataset include ['lat', 'lon', 'time', 'sst', 'lon_bnds', 'lat_bnds']\"" - ] - } - ], + "outputs": [], "source": [ "daily_climo = ds_hourly.temporal.climatology(\"sst\", freq=\"day\", weighted=True)" ] @@ -4487,7 +528,7 @@ "metadata": { "anaconda-cloud": {}, "kernelspec": { - "display_name": "xcdat_notebook_0.7.2", + "display_name": "xcdat_notebook_0.7.3", "language": "python", "name": "python3" }, @@ -4501,7 +542,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.6" + "version": "3.12.7" }, "toc": { "base_numbering": 1,