diff --git a/.github/workflows/documentation_test.yml b/.github/workflows/documentation_test.yml index 7f24a5e..3db2bb3 100644 --- a/.github/workflows/documentation_test.yml +++ b/.github/workflows/documentation_test.yml @@ -6,7 +6,7 @@ on: [main] push: branches: - [main, dev, pyOpenSci-review] + [main, dev] # Allows you to run this workflow manually from the Actions tab #workflow_dispatch: diff --git a/.github/workflows/nb_refresh.yml b/.github/workflows/nb_refresh.yml new file mode 100644 index 0000000..cc458c2 --- /dev/null +++ b/.github/workflows/nb_refresh.yml @@ -0,0 +1,41 @@ +name: Update Notebook + +on: + pull_request: + branches: + [main] + +jobs: + notebook_update: + + runs-on: ubuntu-latest + + steps: + - name: Checkout repo + uses: actions/checkout@v3 + - name: Set up Python + uses: actions/setup-python@v4 + with: + python-version: 3.x + - name: Update pip and install depends + run: | + python -VV + python -m pip install --upgrade pip + python -m pip install --no-deps . + pip install -r requirements.txt + pip install jupyter nbconvert nbformat + - name: Update analysis notebook + run: | + jupyter nbconvert --to notebook --execute demos/Harmonize_CapeCod_Detailed.ipynb --ExecutePreprocessor.kernel_name='python3' --output ../demos/Harmonize_CapeCod_Detailed + jupyter nbconvert --to notebook --execute demos/Harmonize_CapeCod_Simple.ipynb --ExecutePreprocessor.kernel_name='python3' --output ../demos/Harmonize_CapeCod_Simple + jupyter nbconvert --to notebook --execute demos/Harmonize_Pensacola_Detailed.ipynb --ExecutePreprocessor.kernel_name='python3' --output ../demos/Harmonize_Pensacola_Detailed + jupyter nbconvert --to notebook --execute demos/Harmonize_Pensacola_Simple.ipynb --ExecutePreprocessor.kernel_name='python3' --output ../demos/Harmonize_Pensacola_Simple + jupyter nbconvert --to notebook --execute demos/Harmonize_Tampa_Detailed.ipynb --ExecutePreprocessor.kernel_name='python3' --output ../demos/Harmonize_Tampa_Detailed + jupyter nbconvert --to notebook --execute demos/Harmonize_Tampa_Simple.ipynb --ExecutePreprocessor.kernel_name='python3' --output ../demos/Harmonize_Tampa_Simple + - name: commit updated notebook + uses: EndBug/add-and-commit@v7 + with: + author_name: 'github-actions[bot]' + author_email: 'github-actions[bot]@users.noreply.github.com' + message: "Update Notebook" + add: '["demos/Harmonize_CapeCod_Detailed.ipynb", "demos/Harmonize_CapeCod_Simple.ipynb", "demos/Harmonize_Pensacola_Detailed.ipynb", "demos/Harmonize_Pensacola_Simple.ipynb", "demos/Harmonize_Tampa_Detailed.ipynb","demos/Harmonize_Tampa_Simple.ipynb"]' diff --git a/demos/Harmonize_CapeCod_Detailed.ipynb b/demos/Harmonize_CapeCod_Detailed.ipynb index 67666f1..75f104c 100644 --- a/demos/Harmonize_CapeCod_Detailed.ipynb +++ b/demos/Harmonize_CapeCod_Detailed.ipynb @@ -52,7 +52,14 @@ { "cell_type": "code", "execution_count": 1, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:26:18.181745Z", + "iopub.status.busy": "2024-08-16T20:26:18.181527Z", + "iopub.status.idle": "2024-08-16T20:26:18.185011Z", + "shell.execute_reply": "2024-08-16T20:26:18.184588Z" + } + }, "outputs": [], "source": [ "import sys\n", @@ -66,8 +73,24 @@ { "cell_type": "code", "execution_count": 2, - "metadata": {}, - "outputs": [], + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:26:18.187282Z", + "iopub.status.busy": "2024-08-16T20:26:18.186933Z", + "iopub.status.idle": "2024-08-16T20:26:19.345424Z", + "shell.execute_reply": "2024-08-16T20:26:19.344846Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/dataretrieval/nadp.py:44: UserWarning: GDAL not installed. Some functions will not work.\n", + " warnings.warn('GDAL not installed. Some functions will not work.')\n" + ] + } + ], "source": [ "import dataretrieval.wqp as wqp\n", "from harmonize_wq import wrangle\n", @@ -87,7 +110,14 @@ { "cell_type": "code", "execution_count": 3, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:26:19.348266Z", + "iopub.status.busy": "2024-08-16T20:26:19.347811Z", + "iopub.status.idle": "2024-08-16T20:26:22.263485Z", + "shell.execute_reply": "2024-08-16T20:26:22.262862Z" + } + }, "outputs": [ { "data": { @@ -101,7 +131,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -120,7 +150,14 @@ { "cell_type": "code", "execution_count": 4, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:26:22.265952Z", + "iopub.status.busy": "2024-08-16T20:26:22.265623Z", + "iopub.status.idle": "2024-08-16T20:26:22.269862Z", + "shell.execute_reply": "2024-08-16T20:26:22.269345Z" + } + }, "outputs": [], "source": [ "# Build query with characteristicNames and the AOI extent\n", @@ -144,7 +181,14 @@ { "cell_type": "code", "execution_count": 5, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:26:22.272006Z", + "iopub.status.busy": "2024-08-16T20:26:22.271815Z", + "iopub.status.idle": "2024-08-16T20:26:35.780434Z", + "shell.execute_reply": "2024-08-16T20:26:35.779762Z" + } + }, "outputs": [], "source": [ "# Query stations (can be slow)\n", @@ -154,12 +198,19 @@ { "cell_type": "code", "execution_count": 6, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:26:35.783092Z", + "iopub.status.busy": "2024-08-16T20:26:35.782885Z", + "iopub.status.idle": "2024-08-16T20:26:35.787122Z", + "shell.execute_reply": "2024-08-16T20:26:35.786631Z" + } + }, "outputs": [ { "data": { "text/plain": [ - "(10568, 37)" + "(10580, 37)" ] }, "execution_count": 6, @@ -175,7 +226,14 @@ { "cell_type": "code", "execution_count": 7, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:26:35.789193Z", + "iopub.status.busy": "2024-08-16T20:26:35.788869Z", + "iopub.status.idle": "2024-08-16T20:26:35.807397Z", + "shell.execute_reply": "2024-08-16T20:26:35.806891Z" + } + }, "outputs": [ { "data": { @@ -441,7 +499,14 @@ { "cell_type": "code", "execution_count": 8, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:26:35.809442Z", + "iopub.status.busy": "2024-08-16T20:26:35.809106Z", + "iopub.status.idle": "2024-08-16T20:26:35.814487Z", + "shell.execute_reply": "2024-08-16T20:26:35.813996Z" + } + }, "outputs": [ { "data": { @@ -465,7 +530,14 @@ { "cell_type": "code", "execution_count": 9, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:26:35.816576Z", + "iopub.status.busy": "2024-08-16T20:26:35.816247Z", + "iopub.status.idle": "2024-08-16T20:26:36.128950Z", + "shell.execute_reply": "2024-08-16T20:26:36.128313Z" + } + }, "outputs": [], "source": [ "# Harmonize location datums to 4326 (Note we keep intermediate columns using intermediate_columns=True)\n", @@ -475,92 +547,15 @@ { "cell_type": "code", "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "\u001b[1;31mSignature:\u001b[0m\n", - "\u001b[0mlocation\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mharmonize_locations\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m\n", - "\u001b[0m \u001b[0mdf_in\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", - "\u001b[0m \u001b[0mout_EPSG\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m4326\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", - "\u001b[0m \u001b[0mintermediate_columns\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", - "\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", - "\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;31mDocstring:\u001b[0m\n", - "Create harmonized geopandas GeoDataframe from pandas DataFrame.\n", - "\n", - "Takes a :class:`~pandas.DataFrame` with lat/lon in multiple Coordinate\n", - "Reference Systems (CRS), transforms them to out_EPSG CRS, and converts to\n", - ":class:`geopandas.GeoDataFrame`. A 'QA_flag' column is added to the result\n", - "and populated for any row that has location based problems like limited\n", - "decimal precision or an unknown input CRS.\n", - "\n", - "Parameters\n", - "----------\n", - "df_in : pandas.DataFrame\n", - " DataFrame with the required columns (see kwargs for expected defaults)\n", - " to be converted to GeoDataFrame.\n", - "out_EPSG : int, optional\n", - " EPSG factory code for desired output Coordinate Reference System datum.\n", - " The default is 4326, for the WGS84 Datum used by WQP queries.\n", - "intermediate_columns : Boolean, optional\n", - " Return intermediate columns. Default 'False' does not return these.\n", - "**kwargs: optional\n", - " Accepts crs_col, lat_col, and lon_col parameters if non-default:\n", - "crs_col : str, optional\n", - " Name of column in DataFrame with the Coordinate Reference System datum.\n", - " The default is 'HorizontalCoordinateReferenceSystemDatumName'.\n", - "lat_col : str, optional\n", - " Name of column in DataFrame with the latitude coordinate.\n", - " The default is 'LatitudeMeasure'.\n", - "lon_col : str, optional\n", - " Name of column in DataFrame with the longitude coordinate.\n", - " The default is 'LongitudeMeasure'.\n", - "\n", - "Returns\n", - "-------\n", - "gdf : geopandas.GeoDataFrame\n", - " GeoDataFrame of df_in with coordinates in out_EPSG datum.\n", - "\n", - "Examples\n", - "--------\n", - "Build pandas DataFrame to use in example:\n", - "\n", - ">>> df_in = pandas.DataFrame({'LatitudeMeasure': [27.5950355,\n", - "... 27.52183,\n", - "... 28.0661111],\n", - "... 'LongitudeMeasure': [-82.0300865,\n", - "... -82.64476,\n", - "... -82.3775],\n", - "... 'HorizontalCoordinateReferenceSystemDatumName': ['NAD83',\n", - "... 'WGS84',\n", - "... 'NAD27'],\n", - "... })\n", - ">>> df_in\n", - " LatitudeMeasure ... HorizontalCoordinateReferenceSystemDatumName\n", - "0 27.595036 ... NAD83\n", - "1 27.521830 ... WGS84\n", - "2 28.066111 ... NAD27\n", - "\n", - "[3 rows x 3 columns]\n", - "\n", - ">>> from harmonize_wq import location\n", - ">>> location.harmonize_locations(df_in)\n", - " LatitudeMeasure LongitudeMeasure ... QA_flag geometry\n", - "0 27.595036 -82.030086 ... NaN POINT (-82.03009 27.59504)\n", - "1 27.521830 -82.644760 ... NaN POINT (-82.64476 27.52183)\n", - "2 28.066111 -82.377500 ... NaN POINT (-82.37750 28.06611)\n", - "\n", - "[3 rows x 5 columns]\n", - "\u001b[1;31mFile:\u001b[0m c:\\users\\jbousqui\\local_gis\\python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\location.py\n", - "\u001b[1;31mType:\u001b[0m function" - ] - }, - "metadata": {}, - "output_type": "display_data" + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:26:36.131665Z", + "iopub.status.busy": "2024-08-16T20:26:36.131458Z", + "iopub.status.idle": "2024-08-16T20:26:36.213875Z", + "shell.execute_reply": "2024-08-16T20:26:36.213194Z" } - ], + }, + "outputs": [], "source": [ "# Every function has a dostring to help understand input/output and what it does\n", "location.harmonize_locations?" @@ -569,12 +564,19 @@ { "cell_type": "code", "execution_count": 11, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:26:36.216196Z", + "iopub.status.busy": "2024-08-16T20:26:36.215998Z", + "iopub.status.idle": "2024-08-16T20:26:36.219850Z", + "shell.execute_reply": "2024-08-16T20:26:36.219305Z" + } + }, "outputs": [ { "data": { "text/plain": [ - "(10568, 42)" + "(10580, 42)" ] }, "execution_count": 11, @@ -590,7 +592,14 @@ { "cell_type": "code", "execution_count": 12, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:26:36.222094Z", + "iopub.status.busy": "2024-08-16T20:26:36.221695Z", + "iopub.status.idle": "2024-08-16T20:26:36.227371Z", + "shell.execute_reply": "2024-08-16T20:26:36.226783Z" + } + }, "outputs": [ { "data": { @@ -616,12 +625,19 @@ { "cell_type": "code", "execution_count": 13, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:26:36.229598Z", + "iopub.status.busy": "2024-08-16T20:26:36.229238Z", + "iopub.status.idle": "2024-08-16T20:26:36.233218Z", + "shell.execute_reply": "2024-08-16T20:26:36.232645Z" + } + }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 13, @@ -637,7 +653,14 @@ { "cell_type": "code", "execution_count": 14, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:26:36.235369Z", + "iopub.status.busy": "2024-08-16T20:26:36.235033Z", + "iopub.status.idle": "2024-08-16T20:26:36.242711Z", + "shell.execute_reply": "2024-08-16T20:26:36.242128Z" + } + }, "outputs": [ { "data": { @@ -663,7 +686,14 @@ { "cell_type": "code", "execution_count": 15, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:26:36.244872Z", + "iopub.status.busy": "2024-08-16T20:26:36.244506Z", + "iopub.status.idle": "2024-08-16T20:26:36.781447Z", + "shell.execute_reply": "2024-08-16T20:26:36.780707Z" + } + }, "outputs": [ { "data": { @@ -677,7 +707,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -694,7 +724,14 @@ { "cell_type": "code", "execution_count": 16, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:26:36.784397Z", + "iopub.status.busy": "2024-08-16T20:26:36.783810Z", + "iopub.status.idle": "2024-08-16T20:26:37.487506Z", + "shell.execute_reply": "2024-08-16T20:26:37.486852Z" + } + }, "outputs": [], "source": [ "# Clip to area of interest\n", @@ -704,7 +741,14 @@ { "cell_type": "code", "execution_count": 17, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:26:37.490476Z", + "iopub.status.busy": "2024-08-16T20:26:37.489998Z", + "iopub.status.idle": "2024-08-16T20:26:37.677835Z", + "shell.execute_reply": "2024-08-16T20:26:37.677144Z" + } + }, "outputs": [ { "data": { @@ -718,7 +762,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -735,7 +779,14 @@ { "cell_type": "code", "execution_count": 18, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:26:37.680890Z", + "iopub.status.busy": "2024-08-16T20:26:37.680278Z", + "iopub.status.idle": "2024-08-16T20:26:37.684660Z", + "shell.execute_reply": "2024-08-16T20:26:37.684132Z" + } + }, "outputs": [ { "data": { @@ -756,7 +807,14 @@ { "cell_type": "code", "execution_count": 19, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:26:37.687080Z", + "iopub.status.busy": "2024-08-16T20:26:37.686716Z", + "iopub.status.idle": "2024-08-16T20:26:37.689202Z", + "shell.execute_reply": "2024-08-16T20:26:37.688694Z" + } + }, "outputs": [], "source": [ "# To save the results to a shapefile\n", @@ -775,13 +833,20 @@ { "cell_type": "code", "execution_count": 20, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:26:37.691500Z", + "iopub.status.busy": "2024-08-16T20:26:37.691147Z", + "iopub.status.idle": "2024-08-16T20:36:24.166075Z", + "shell.execute_reply": "2024-08-16T20:36:24.165433Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\dataretrieval\\wqp.py:83: DtypeWarning: Columns (8,10,13,15,17,19,20,21,22,23,28,31,32,33,34,36,38,60,62,63,64,65,66,67,68,69,70,71,72) have mixed types. Specify dtype option on import or set low_memory=False.\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/dataretrieval/wqp.py:83: DtypeWarning: Columns (8,10,13,15,17,19,20,21,22,23,28,31,32,33,34,36,38,60,63,64,65,66,67,68,69,70,71,72) have mixed types. Specify dtype option on import or set low_memory=False.\n", " df = pd.read_csv(StringIO(response.text), delimiter=',')\n" ] } @@ -795,7 +860,14 @@ { "cell_type": "code", "execution_count": 21, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:24.171580Z", + "iopub.status.busy": "2024-08-16T20:36:24.171047Z", + "iopub.status.idle": "2024-08-16T20:36:24.450243Z", + "shell.execute_reply": "2024-08-16T20:36:24.449589Z" + } + }, "outputs": [ { "data": { @@ -844,6 +916,30 @@ " \n", " \n", " 0\n", + " CRWA\n", + " Charles River Watershed Association (Massachus...\n", + " CRWA-CYN20130809ROBTemp01\n", + " 2013-08-09\n", + " 11:14:33\n", + " EST\n", + " CRWA-ROB\n", + " STORET-591631481\n", + " 130809111433.0\n", + " NaN\n", + " ...\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " STORET\n", + " \n", + " \n", + " 1\n", " 11NPSWRD_WQX\n", " National Park Service Water Resources Division\n", " 11NPSWRD_WQX-CACO_HX30_21_7/22/2013_SFW_0.01\n", @@ -867,7 +963,7 @@ " STORET\n", " \n", " \n", - " 1\n", + " 2\n", " MASSDEP\n", " Massachusetts Department of Environmental Prot...\n", " MASSDEP-LB-5142\n", @@ -891,7 +987,7 @@ " STORET\n", " \n", " \n", - " 2\n", + " 3\n", " IRWA\n", " Ipswich River Watershed Association (Volunteer)\n", " IRWA-HB:20130630120000:FM\n", @@ -915,7 +1011,7 @@ " STORET\n", " \n", " \n", - " 3\n", + " 4\n", " CRWA\n", " Charles River Watershed Association (Massachus...\n", " CRWA-VMM20131217609SEC02\n", @@ -939,30 +1035,6 @@ " STORET\n", " \n", " \n", - " 4\n", - " MASSDEP\n", - " Massachusetts Department of Environmental Prot...\n", - " MASSDEP-SM-4452\n", - " 2013-09-25\n", - " 09:05:00\n", - " EDT\n", - " MASSDEP-W0696\n", - " STORET-762964497\n", - " NaN\n", - " NaN\n", - " ...\n", - " NaN\n", - " NaN\n", - " NaN\n", - " https://www.waterqualitydata.us/data/providers...\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " STORET\n", - " \n", - " \n", " ...\n", " ...\n", " ...\n", @@ -987,7 +1059,7 @@ " ...\n", " \n", " \n", - " 413446\n", + " 416607\n", " USGS-MA\n", " USGS Massachusetts Water Science Center\n", " nwisma.01.02400495\n", @@ -1011,7 +1083,7 @@ " NWIS\n", " \n", " \n", - " 413447\n", + " 416608\n", " USGS-MA\n", " USGS Massachusetts Water Science Center\n", " nwisma.01.02400639\n", @@ -1035,7 +1107,7 @@ " NWIS\n", " \n", " \n", - " 413448\n", + " 416609\n", " USGS-MA\n", " USGS Massachusetts Water Science Center\n", " nwisma.01.02400639\n", @@ -1059,7 +1131,7 @@ " NWIS\n", " \n", " \n", - " 413449\n", + " 416610\n", " USGS-MA\n", " USGS Massachusetts Water Science Center\n", " nwisma.01.02400639\n", @@ -1083,7 +1155,7 @@ " NWIS\n", " \n", " \n", - " 413450\n", + " 416611\n", " USGS-MA\n", " USGS Massachusetts Water Science Center\n", " nwisma.01.02400639\n", @@ -1108,74 +1180,74 @@ " \n", " \n", "\n", - "

413451 rows × 78 columns

\n", + "

416612 rows × 78 columns

\n", "" ], "text/plain": [ " OrganizationIdentifier \\\n", - "0 11NPSWRD_WQX \n", - "1 MASSDEP \n", - "2 IRWA \n", - "3 CRWA \n", - "4 MASSDEP \n", + "0 CRWA \n", + "1 11NPSWRD_WQX \n", + "2 MASSDEP \n", + "3 IRWA \n", + "4 CRWA \n", "... ... \n", - "413446 USGS-MA \n", - "413447 USGS-MA \n", - "413448 USGS-MA \n", - "413449 USGS-MA \n", - "413450 USGS-MA \n", + "416607 USGS-MA \n", + "416608 USGS-MA \n", + "416609 USGS-MA \n", + "416610 USGS-MA \n", + "416611 USGS-MA \n", "\n", " OrganizationFormalName \\\n", - "0 National Park Service Water Resources Division \n", - "1 Massachusetts Department of Environmental Prot... \n", - "2 Ipswich River Watershed Association (Volunteer) \n", - "3 Charles River Watershed Association (Massachus... \n", - "4 Massachusetts Department of Environmental Prot... \n", + "0 Charles River Watershed Association (Massachus... \n", + "1 National Park Service Water Resources Division \n", + "2 Massachusetts Department of Environmental Prot... \n", + "3 Ipswich River Watershed Association (Volunteer) \n", + "4 Charles River Watershed Association (Massachus... \n", "... ... \n", - "413446 USGS Massachusetts Water Science Center \n", - "413447 USGS Massachusetts Water Science Center \n", - "413448 USGS Massachusetts Water Science Center \n", - "413449 USGS Massachusetts Water Science Center \n", - "413450 USGS Massachusetts Water Science Center \n", + "416607 USGS Massachusetts Water Science Center \n", + "416608 USGS Massachusetts Water Science Center \n", + "416609 USGS Massachusetts Water Science Center \n", + "416610 USGS Massachusetts Water Science Center \n", + "416611 USGS Massachusetts Water Science Center \n", "\n", " ActivityIdentifier ActivityStartDate \\\n", - "0 11NPSWRD_WQX-CACO_HX30_21_7/22/2013_SFW_0.01 2013-07-22 \n", - "1 MASSDEP-LB-5142 2013-07-30 \n", - "2 IRWA-HB:20130630120000:FM 2013-06-30 \n", - "3 CRWA-VMM20131217609SEC02 2013-12-17 \n", - "4 MASSDEP-SM-4452 2013-09-25 \n", + "0 CRWA-CYN20130809ROBTemp01 2013-08-09 \n", + "1 11NPSWRD_WQX-CACO_HX30_21_7/22/2013_SFW_0.01 2013-07-22 \n", + "2 MASSDEP-LB-5142 2013-07-30 \n", + "3 IRWA-HB:20130630120000:FM 2013-06-30 \n", + "4 CRWA-VMM20131217609SEC02 2013-12-17 \n", "... ... ... \n", - "413446 nwisma.01.02400495 2024-01-08 \n", - "413447 nwisma.01.02400639 2024-02-12 \n", - "413448 nwisma.01.02400639 2024-02-12 \n", - "413449 nwisma.01.02400639 2024-02-12 \n", - "413450 nwisma.01.02400639 2024-02-12 \n", + "416607 nwisma.01.02400495 2024-01-08 \n", + "416608 nwisma.01.02400639 2024-02-12 \n", + "416609 nwisma.01.02400639 2024-02-12 \n", + "416610 nwisma.01.02400639 2024-02-12 \n", + "416611 nwisma.01.02400639 2024-02-12 \n", "\n", " ActivityStartTime/Time ActivityStartTime/TimeZoneCode \\\n", - "0 11:01:00 EDT \n", - "1 14:20:00 EDT \n", - "2 12:00:00 EDT \n", - "3 07:40:00 EST \n", - "4 09:05:00 EDT \n", + "0 11:14:33 EST \n", + "1 11:01:00 EDT \n", + "2 14:20:00 EDT \n", + "3 12:00:00 EDT \n", + "4 07:40:00 EST \n", "... ... ... \n", - "413446 12:00:00 EST \n", - "413447 08:45:00 EST \n", - "413448 08:45:00 EST \n", - "413449 08:45:00 EST \n", - "413450 08:45:00 EST \n", - "\n", - " MonitoringLocationIdentifier ResultIdentifier DataLoggerLine \\\n", - "0 11NPSWRD_WQX-CACO_HX30_21 STORET-986369728 NaN \n", - "1 MASSDEP-W2173 STORET-762955917 NaN \n", - "2 IRWA-HB STORET-853064665 NaN \n", - "3 CRWA-609S STORET-872379847 NaN \n", - "4 MASSDEP-W0696 STORET-762964497 NaN \n", - "... ... ... ... \n", - "413446 USGS-01098530 NWIS-126836828 NaN \n", - "413447 USGS-01097050 NWIS-126989046 NaN \n", - "413448 USGS-01097050 NWIS-126989056 NaN \n", - "413449 USGS-01097050 NWIS-126989063 NaN \n", - "413450 USGS-01097050 NWIS-126989064 NaN \n", + "416607 12:00:00 EST \n", + "416608 08:45:00 EST \n", + "416609 08:45:00 EST \n", + "416610 08:45:00 EST \n", + "416611 08:45:00 EST \n", + "\n", + " MonitoringLocationIdentifier ResultIdentifier DataLoggerLine \\\n", + "0 CRWA-ROB STORET-591631481 130809111433.0 \n", + "1 11NPSWRD_WQX-CACO_HX30_21 STORET-986369728 NaN \n", + "2 MASSDEP-W2173 STORET-762955917 NaN \n", + "3 IRWA-HB STORET-853064665 NaN \n", + "4 CRWA-609S STORET-872379847 NaN \n", + "... ... ... ... \n", + "416607 USGS-01098530 NWIS-126836828 NaN \n", + "416608 USGS-01097050 NWIS-126989046 NaN \n", + "416609 USGS-01097050 NWIS-126989056 NaN \n", + "416610 USGS-01097050 NWIS-126989063 NaN \n", + "416611 USGS-01097050 NWIS-126989064 NaN \n", "\n", " ResultDetectionConditionText ... AnalysisEndTime/TimeZoneCode \\\n", "0 NaN ... NaN \n", @@ -1184,11 +1256,11 @@ "3 NaN ... NaN \n", "4 NaN ... NaN \n", "... ... ... ... \n", - "413446 NaN ... NaN \n", - "413447 NaN ... NaN \n", - "413448 NaN ... NaN \n", - "413449 NaN ... NaN \n", - "413450 NaN ... NaN \n", + "416607 NaN ... NaN \n", + "416608 NaN ... NaN \n", + "416609 NaN ... NaN \n", + "416610 NaN ... NaN \n", + "416611 NaN ... NaN \n", "\n", " ResultLaboratoryCommentCode ResultLaboratoryCommentText \\\n", "0 NaN NaN \n", @@ -1197,24 +1269,24 @@ "3 NaN NaN \n", "4 NaN NaN \n", "... ... ... \n", - "413446 NaN NaN \n", - "413447 NaN NaN \n", - "413448 NaN NaN \n", - "413449 NaN NaN \n", - "413450 NaN NaN \n", + "416607 NaN NaN \n", + "416608 NaN NaN \n", + "416609 NaN NaN \n", + "416610 NaN NaN \n", + "416611 NaN NaN \n", "\n", " ResultDetectionQuantitationLimitUrl \\\n", "0 NaN \n", - "1 https://www.waterqualitydata.us/data/providers... \n", - "2 NaN \n", + "1 NaN \n", + "2 https://www.waterqualitydata.us/data/providers... \n", "3 NaN \n", - "4 https://www.waterqualitydata.us/data/providers... \n", + "4 NaN \n", "... ... \n", - "413446 NaN \n", - "413447 NaN \n", - "413448 NaN \n", - "413449 NaN \n", - "413450 NaN \n", + "416607 NaN \n", + "416608 NaN \n", + "416609 NaN \n", + "416610 NaN \n", + "416611 NaN \n", "\n", " LaboratoryAccreditationIndicator LaboratoryAccreditationAuthorityName \\\n", "0 NaN NaN \n", @@ -1223,11 +1295,11 @@ "3 NaN NaN \n", "4 NaN NaN \n", "... ... ... \n", - "413446 NaN NaN \n", - "413447 NaN NaN \n", - "413448 NaN NaN \n", - "413449 NaN NaN \n", - "413450 NaN NaN \n", + "416607 NaN NaN \n", + "416608 NaN NaN \n", + "416609 NaN NaN \n", + "416610 NaN NaN \n", + "416611 NaN NaN \n", "\n", " TaxonomistAccreditationIndicator TaxonomistAccreditationAuthorityName \\\n", "0 NaN NaN \n", @@ -1236,11 +1308,11 @@ "3 NaN NaN \n", "4 NaN NaN \n", "... ... ... \n", - "413446 NaN NaN \n", - "413447 NaN NaN \n", - "413448 NaN NaN \n", - "413449 NaN NaN \n", - "413450 NaN NaN \n", + "416607 NaN NaN \n", + "416608 NaN NaN \n", + "416609 NaN NaN \n", + "416610 NaN NaN \n", + "416611 NaN NaN \n", "\n", " LabSamplePreparationUrl ProviderName \n", "0 NaN STORET \n", @@ -1249,13 +1321,13 @@ "3 NaN STORET \n", "4 NaN STORET \n", "... ... ... \n", - "413446 NaN NWIS \n", - "413447 NaN NWIS \n", - "413448 NaN NWIS \n", - "413449 NaN NWIS \n", - "413450 NaN NWIS \n", + "416607 NaN NWIS \n", + "416608 NaN NWIS \n", + "416609 NaN NWIS \n", + "416610 NaN NWIS \n", + "416611 NaN NWIS \n", "\n", - "[413451 rows x 78 columns]" + "[416612 rows x 78 columns]" ] }, "execution_count": 21, @@ -1271,7 +1343,14 @@ { "cell_type": "code", "execution_count": 22, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:24.452581Z", + "iopub.status.busy": "2024-08-16T20:36:24.452197Z", + "iopub.status.idle": "2024-08-16T20:36:25.416504Z", + "shell.execute_reply": "2024-08-16T20:36:25.415910Z" + } + }, "outputs": [ { "data": { @@ -1285,7 +1364,7 @@ }, { "data": { - "image/png": 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", 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d1yP8nDlzmDJlCuPHj2/w2JoRbfUFzXPl5eXx448/cvfdd9fat3DhQsLCwhgwYACLFi3Cbq+/uc9isWAymdx+2jtJgvFdQukaH0rfkQO8OF5C76Nj1NCeDR47fcrQpigiACO7hhMVqKeuxuTSA7soO7gHa3EBitWCYqmmKjuTExvXM/fVFXy6KaPJyiEIgnA+Gl3jXLp0KampqWzfvr3BYwsLC3n++eeZPXu219f/8MMPMRqN3HDDDW7bH3zwQQYOHEhoaCibNm3iiSeeICcnh3/96191XmfBggU8++yzXt+3vfDVyTwyqgNdwifzuq+e1A07sFltrv0hwQFERwTj7+fLoD7JPDD9cpKiA4ke8xfM5qo6rxkU6Mfrf72lycqokSXm39yH2e/vQOLM4KSKU+lU559utnerAqugOoPqs5+HcsPgOHx9mq4GLAiC0BiNmseZmZnJ4MGDWblypatvc8yYMfTv35+XX37Z7ViTycRVV11FaGgoy5YtQ6fTeXWP7t27c9VVV/Haa695PO7999/nvvvuw2w2o9fra+23WCxYLBa38iQkJFxSc7psDoWs4gq27jqOrdpCWEQYCfFRSJJEsEFLZKAPOq2z0cFutzP67ldJ3eO+isnQAZ1Z/uYcfPXe/f0aY/2hAv7+3QGO5JoByN+yDqW6Gk9Jbf0Tk/ngmd9xzYDYJi+P0L6IeZxCc2lU4Pz222+ZNm0aGs2Zp32Hw4EkSciyjMViQaPRUF5ezsSJE/Hz8+OHH37A19fXq+tv3LiRK664gl27dtGvXz+Px+7fv5/evXtz6NAhunXr1uC1xYfIO6qqkp5ViMOh0CE2vEn7Nuu73+GccorMVq6a/myDg5p0gcH869m7uGdM49P9CZcW8ZkXmkujmmrHjRvH3r173bbNmjWL7t27M2/ePDQaDSaTiYkTJ6LX61m2bJnXQRPgvffeY9CgQQ0GTYBdu3YhyzKRkZGNeQntns2hkG+yUmFxIEsSIf5aQv11Xk9PkSSJjvERzVxK9/t1j23El5okERlYu4VBEAShpTQqcBqNRnr37u22zd/fn7CwMHr37o3JZGLChAlUVlby8ccfuw3KiYiIcNVUu3fvzoIFC5g2bZrrOiaTif/973/885//rHXfzZs3s3XrVsaOHYvRaGTz5s088sgj3HbbbYSEhDT6Rbc3DofCTxv3sW7HccqrHQzsm0zfHs55rwXlVnx1Mj1i/fFt5trjhYqLDOJUXqnHYwyhYYzv5d2KLIIgCM2hSZcVS01NZevWrQB07tzZbV9aWhpJSUkAHD58uFZShKVLl6KqKjNmzKh1Xb1ez9KlS3nmmWewWCx07NiRRx55hEcffbQpi39R2nUok5sffodTeSVoTs9z/O9X6+icFMP8eTOJDA+m2qZwMLuCfolG5Da6NpfF7qDnsCGc+m5l/QfJMnNvuRw/vVgNTxCE1iOSvF/ETuWVMPimv2OurMZxTno6jSwTHRnMfxY/gP70wJ6u0X6EBfi0RlEbNOfDVJbvzsGclYHpyH6cuZDOXjhUZsTIAfzn8WvpGB/udm61xca6bUcoM1fROTGCgT0TmzxzknDxaY+feaFtEI/uF7E3l67HXGmpFTQBHIpCVm4xazftZdLYgQAUV9jaZODcnVHKT7uc01D8YhPRBYVQlZWBtawYJBl9SDiSVsumjSn03JjClUO78fqTM0iKC+O1T9by97d/puysqTS9Osfw5/umIgUEotPIjOoeQYTR2S9qcyiUVljx12tFzVUQhPMivjkuYp//vAOHotS7X5Ik1v62xxU4PRzaqr5LyUIrS9hPPwDo/I3ouvZyO0Z1ODCnORPDr99xlNF3/JOZ11zGyx+trnW9/cdzmTXvHcIGDENnDEIjS1wzIAajXstX209RZVOQJLiyZyQPTuhC38TgZn+NgiC0HyL550Ws3Fztcb+qqpgrzxzjr2+bg4OKzdY6a81nkzQapNODyxwOheJSM6/8d03dB6sqKCrlpwOtQ1H5LiWbjzdlUGVTXIesPZDPja9uYsOhgqZ7MYIgtHuixnkR65IUxc6DGfUuv6WRZTrEnZmuExnY9pppAU6kZaEoKpJc/3OcYrehOhyu3xsKtKBiLS7EYbWg8al7+oqiguJQefjjnTw5tQfLUnMoNFtIDPXjd8MTGdU1HFkWfaWCILgTNc6L2H23jPK4ZqVDUZgyfjAAyZEGfLRt78+deiCDNcs3egyaqqpQlXPqvK6vWC0NHlNSYeNPn+5h4+EC9p8y8cu+PO58ext/+CAFm6ONtm8LgtBq2t43qeC16VcPYfzw7rWmmNT8Nm3SMEb070TPWP82mzTgT//4H46qCioy0+rcryoKitVKRcaJOvc3RK6ntlmXmmeQmtrsyr15PPvtASqtDg9nCYJwqRFNtRcxnU7DV6/cz4vvreDNpRsoLqsAICEmlAd/P477bhnVptewrLbY2LY3HYDy44dQrFb8Ezsi65xNyqqqYikuwHT0AIrNfQ1PjSyhqHhI0SfhExpWbzOtN1Rg6aYMipAY2iGY63tFEmxo+py9giBcXMQ8znbCZnOQnl2IVqOhQ2wosoemz7aioLicxHFPuG+UZHSBwUiyjL3SjGKpPQBKI0sYfH248/rhvP7purovLsuEDRiOznjhf+thfWMIDzFg1Gt5fEySCJ4Xifb+mRdaj6hxthM6nYYuHS6uVHTBRj8Meh1VljPLnqEq2MqKPZ7Xs3MsHy28iy4dIomNCmHBuz+7jTDW+hsJ7Na7SYImOGueigrlFjs/HCjgtkFiZRZBuJSJwCm0Gp1Ow+3XD+edLzZ6XBUlokdvnrmlP7KqMPqy7sREhaCo8NOhQjKD45n24B3kpGVhs1jx8fPjaIGdKkvT9EtKEgT6O5uOFRW2nzJxU79ofNvgQCtBEFqGCJxCq5p390S+W72LvCITdcXOgJhYvlvwO/onhmBTnMGryubgvymnOFxQCYBWqyWhSwfAGehiOiis35FJtZfBU5bODAw6V3yU0W1pNbuiYqq249sGMzAJgtAyxGOz0KpiIoLY8N/HuHZMX7ftOr0PN98whmNf/pkBHZw1TLuisvxQAU+vOOIKmudSVdBpZWZP6sZNl8XT0CxMnUYiwqinrumaQUY9PTqF1douapuCcGkTNU6h1SVEh/D5v2aTnV/K0ZP5GHx9GNgjAa3Wvab3w4F81p/w3P8JztrjyTIL//xdX3w0Mku3ZNRZo5QkmDmiAw9N7MKnmzNYuiWT3LJqDHotiTGBxEUHoDlrkJUEJIf5EegrPjaCcCkT3wBCmxEbGUxsZHCt7Yqqcryoig1eBM0aNkWlyubgb9N6kl1axbqDBWhkCYeiuv47vlcUf7muO3qthj+O78wfx3fmg+1Z7Dhlor4e1yk9wuvZIwjCpUIETqHNO5hXQUqWqVHnaGUJnUZmb245Vw9NoFtiCEezyqi22IkJNnDTZfEMTQ6ttfzYzIExyLLE1owyJJz9nw7V2Tz7+0ExdI3wb8JXJgjCxUjM4xTavHe2nCLPbKHAbMXhxbtVlqBnpD8nS6sptzhc/ZeKCpEBPvxxeAIRDQzuKaywsiu7nGq7QmSAD/1jjfi04WQSQm3iMy80F1HjFNq8wkor+WZrvSNfzyZJzgE/RworsZ2OsmefV1hh5ZVfT/Lk+GSPg3zC/X0Y36X2wCBBEATxCC20eUa91qugCRAf5MuA2EDsilpnP6WiQkmVne2ZZU1aRkEQLh0icApt3mUJQQ0eI0tw72Vx/GVsRw4XVDQYaDeeKOFAnpkqm0jgLghC44imWqHNGxhnZNVRPbnlljoDokaCh0Z1IDnMDwCL/cxSYIqqkltQQUaOifKyCsxZGaiV5fj6yHzVuSt9+nXiur7RXNcrEq1Ye1MQBC+IwCm0eTqNzEOXJ/LBjmwO5le47YsL9OG+4YmE+Z1JvB5t1JNWXIXdobBjXy5FZdVUZJygPO2IM0OCJIGqkpuWyZFN2zg2+SoKzFZmD4uvNcpWEAThXCJwCheFAL2WuSMTyS23cOR0U2ynMAOJwYZax45ODuFEcRWH04spKqumMjuD8hOHzxxw1kBye0U5u5evws/Pl7GdQ8V0E0EQGiQCp3BRiTbqiTZ6XmNzYFwgv54oYfmv5aiKgjn9qMfj7eUmjhw+xYbjCSJwCoLQIDE4SGh3ZEnCqAFFUbGZSlGs1gbPMaUf50AjkywIgnBpEoFTuKhUWOykFVRQZLZ4PM41h9Nh9+q6it2Gr0b0bwqC0DDRVCtcFA5mmbjv/R1kFle5tsWHGnhxej+G15GoYECHEDSyhNbgXdOrNiCQib0uroXABUFoHaLGKbRZqqpSWWVhWeopZi1JQWPQ0TE+COPphaVPFVdx6xtb+Gl3dq1zBycEkRwfhNbPH11QCDSwwFhIp86M6hzaHC9DEIR2RtQ4hSZlsTn418qjHM03o5UlZgyJZ2yPxtXk0rIKueuvH7J1TxoqIMky+sgYAhKT0fn7ExMRQFJcIAePF2F3qDz00S7G/SMK/VnLkGlkiRdu6s0f3t+BrWsvilM3ozoUqCOfUEDHriSEByCLqSiCIHhB1DiFJvPaqmPM+fogpywqeqMfvoF+fHWomNs+SCGnpKLhCwAHjmfT+7pn2XI6aAKoikJ1XjZFO37DWlZKTr6ZQyeK6dXZucSXXVH5IbXuWucH911GeGQYIf2H4RPqviSYpNUS2LUXAR2SGd094oJeuyAIlw5R4xSaxKdbTrK/zILRV8uYzmGMSArBqNfiUFR2ZZt4aUMGP2/OQFFVOoT7ce8ViYztGYmvj45TuSWkFZj574bjrN95Al1wOJbiAvcbqCqq6qD0wC7Ch47GblfIKaggNMiX4rJq1h8u4MbLEmqVq1e0kfk39uKBj3YS2ncw9upK7OZyNL5+6AKMgDMfwp2jklrgX0kQhPZABE6hSXy9O4/E6ED+NLYToQadKwOPRpboHxtI3xgjFdlZfP1rGhWWGB76705K9qbgMJcT2L0PvhHRAEhhsYSEx2OvqqTs0B5sZSVu93FUV2EtKUIfGk5+cSVdk4IpLqtG72HJryn9Y9hwqID/bTuFztcPra8zNZ8sOZO+P39jbzqEi/mbgiB4RwRO4YLll1URF21k3pXJBBl0tfZrZAlJgWduHwORMaQfTmPTj79hr6wmbuhIHAYjZwbvOP+rNfgRNmAYtvIyzOnHsBTlu65nN5vQn252dThUVFXlnrHJ9ZZPkiT+Mb0vwzqHsWRDGvtPmZBliVHdwpk9thPDu4TXe64gCMK5ROAULlhWaTW3DYwj0Lf+t5MsSxj1WvrGBYGcTEhUGCe27WH/wf3IsoQ+NByfqHg0el+387QBgYT0GYTp2EEqT6WfvtiZQUAWmwPJ4aBbjNFjGSVJ4oYh8dwwJB5FUZEkRF5aQRDOiwicwgXrFO6Pj4+uwUBkV1RiA335bvVO1n29ElVVXXljq0tLIP04Ib0Gog87M1Cn5prG5O5YCvNxVFdSMzLWV68hv6iCWzo37m0si1VQBEG4AGJUrXDB/A0+Xh0nS5Cemce6r35BVRS3ZOsAKAol+1JxVFfVeX5g155IGi3mk8dQFYUAPx9Kjx7msdtHX+hLEARB8JoInEKTaGDdaMCZQ3bpt795PlZVKNiyjpK9Kdgt1W67fELCCR96BRqdHqksn+z9B1m58GbCQwIupOiCIAiNIppqhQsmSzSYPEBVVY4VVnLowInaNc06WIrysWwpIGzQCHQBga4mW1mrI6TfEKwnD5L+7RPodJoGriQIgtC0RI1TuGASgKriUOoPiGaLnQ92nEJRFO8vrKoU79rm7AutuZcso9H70qNbkgiagiC0ChE4hQsmSeCjlVDPCZ6q6pwqUlRh5R/rTlBtVwiPi3ae4CXVbsNSXOi+TVGITKyd7EAQBKEliKZaoUnIEvj7yFjtCqYqO74+GorKq9mcXsz27AosDmdNs++I/pw6fKJR17YU5OB71khbJInIsMCmLL4gCILXLihwLly4kCeeeIKHHnqIl19+meLiYp5++ml++eUXMjIyiIiI4Prrr+f5558nKCio3uvceeedfPjhh27bJk6cyPLly12/FxcX88ADD/D9998jyzI33ngjr7zyCgEBYmBIWyFJoNfJOCqs9PvLL6hA2ZH9/G5iH2J7dCXXbCU6IYZuwwZxeEtKY658zn0kBiSFNGnZhUuXw+HAZrO1djGEVqbT6dBovOv+Oe/AuX37dt5++2369u3r2padnU12djaLFy+mZ8+enDx5kvvvv5/s7Gy+/PJLj9ebNGkSS5Yscf2u1+vd9s+cOZOcnBxWrlyJzWZj1qxZzJ49m08//fR8X4LQTKKDfZnQJ4oVe3KpLsjBnB3JPXeM43heBYqqcmuvqbz4vyjWrt6KraSowevpI2PO/KKq+Om1TBsc14yvQLgUqKpKbm4upaWlrV0UoY0IDg4mOjq6wTnp5xU4zWYzM2fO5N1332X+/Pmu7b179+arr75y/Z6cnMwLL7zAbbfdht1uR6ut/3Z6vZ7o6Og69x08eJDly5ezfft2Bg8eDMBrr73G5MmTWbx4MbGxsefzMoRm9PzNfdhyKIdcm41fftvPKxrw0cquPtC//G4E90weyMwHXsJWUf/KKbLOB32Ic6FqVVHQamXenDWIwDpS+wlCY9QEzcjISPz8/EQmqUuYqqpUVlaSn+9M7RkTE+Px+PMKnHPmzGHKlCmMHz/eLXDWpaysjMDAQI9BE2DdunVERkYSEhLClVdeyfz58wkLc35hbt68meDgYFfQBBg/fjyyLLN161amTZtW63oWiwWLxeL63WQyNeYlChcowqjn7VkDGbNyBSZzFW98soa7p19JekGl65hwoy+zZ9/CG6/+F9Vhr30RWSak/1BUhx1FUQilmqWPT6F7XP3N/oLgDYfD4QqaNd8zwqXNYDAAkJ+fT2RkpMdm20aPql26dCmpqaksWLCgwWMLCwt5/vnnmT17tsfjJk2axEcffcTq1av5xz/+wfr167n66qtxOByA88kwMjLS7RytVktoaCi5ubl1XnPBggUEBQW5fhISxCjMlja0Rxz+oSGAxN/f/pGPv9lIpwg//HzOvCGvvSyJQddMxi8hCUmnA0lC0moxxCQQMWws1uJ88n9dxfWxVjYtvkkETaFJ1PRp+vn5tXJJhLak5v3QUJ93o2qcmZmZPPTQQ6xcuRJfX1+Px5pMJqZMmULPnj155plnPB47ffp01//36dOHvn37kpyczLp16xg3blxjiujyxBNP8Oijj7qVRwTPlrf4gSn84blPUFWVv73yDW99tpYbJgwiLiqEwrJKvlyzm4yT+QQkdSJi6Bjk0y0TjuoqzOlHcRRksemzxxnQPbGVX4nQHonmWeFs3r4fGhU4U1JSyM/PZ+DAga5tDoeDDRs28Prrr2OxWNBoNJSXlzNp0iSMRiPffPMNOl3j+qM6depEeHg4x44dY9y4cURHR7vanmvY7XaKi4vr7RfV6/W1BhgJLe/O64eRX2jimTd/QFUUsgvKeP3j1c6dkuTKIlR+/DDlaUfRGvxQFRXVYeO+m0Yyf+7D+HmZC1cQWoOqguOs3B8aqVFTlYWLUKMC57hx49i7d6/btlmzZtG9e3fmzZuHRqPBZDIxceJE9Ho9y5Yta7BmWpdTp05RVFTk6qAdPnw4paWlpKSkMGjQIADWrFmDoigMHTq00dcXGs/hcLDg8x1sPZqPr07miZsHMbBL3Q8t53r8ngk8+PsxPLboK5at20tBaQWqw1Fnknd7hRlJq+W7dx7lqgGilim0XYoKdsX537PZcc5r1srO/wrtT6P6OI1GI71793b78ff3JywsjN69e2MymZgwYQIVFRW89957mEwmcnNzyc3NdfVXAnTv3p1vvvkGcI7Qfeyxx9iyZQvp6emsXr2aqVOn0rlzZyZOnAhAjx49mDRpEvfeey/btm3jt99+Y+7cuUyfPl2MqG1mqqqy6MsUujz4Le9tL2RfqcyOArjpjRSG/vVHMvLLUVWVnSfyefS1n7j3+aW89fn6Wqn1fPU+vPbkDE6u+jtjR/X3eM/kHl1E0BTaNIcCVkftoFlDUZ37HY3IMNnSHnzwQQYNGoRer6d///6tVo709HTuvvtuOnbsiMFgIDk5maeffhqr1dpqZWpIk2YOSk1NZevWrQB07tzZbV9aWhpJSUkAHD58mLKyMgA0Gg179uzhww8/pLS0lNjYWCZMmMDzzz/v1tT6ySefMHfuXMaNG+dKgPDqq682ZfGFOrzz837+vSELSadHcdiRTYVo7FVotVrsPtHMeGcbSVF+qJKEX0Qc+viO/Hw8g/mTn+Xpu6/i3psvr3XNH/51J6Pvq2bHziOo9jOd8JJWR3KXDuz4j+fBZILQmhQVbF4GRJvibLZtqzXPu+66i61bt7Jnz55WK8OhQ4dQFIW3336bzp07s2/fPu69914qKipYvHhxq5XLE0lVvViqoh0wmUwEBQW5pscIDau2ORjy528wS77YSgspO7Abu82GLMuoqMR3TcZcYaHk1Clns6skE9ohkcvGXUZ4WCDL3vuS1/58PbdMGlzn9fcezeLx15eTVVhOeJA/z983npH9OrbwqxTaK0+f+erqatLS0ujYsWOju5M81TTrIkvg04bXI3jmmWf49ttv2bVrV2sXxWXRokW8+eabnDjRuPScF8rb94XIVSvU60BmKeWSLzZTKSV7UlyrlCiKgsbXQOaRNFAUXKtxqgrFJ0+y4qMsxs+YypBxw/nzoi/rDZx9usTx8yt3t9CrEYQLp6qNC5rgPF5VxYChxigrKyM0NLS1i1EvsTqKUK/0/HIkScKanV5rn6qqoDiotYS1qqLa7Gz8cR0JXZMwOzQcPZnXIuUVhObmOM/2ucYG20vZsWPHeO2117jvvvtauyj1EoFTqFfHqEBUux1zXq77mpg6HxRLtYczVaqLCjmVWUDCqDHMeGcXS9aneVyvUxDaM/HO905WVhaTJk3i5ptv5t57723t4tRLBE6hXtGBeromGGttl3XezassyCnCZlMoqrTz/LcHeOi/O1FE8BQuQaKVtmHZ2dmMHTuWESNG8M4777R2cTwSgVOo15yPtpGcHIXecE4iCS/HkzmQqLI4c9CqwI+7cvhpd04Tl1IQWo7mPCNgWx1V21ZkZWUxZswYBg0axJIlS5Dlth2a2nbphGaxbtthRt76D4Ive5igyx5i8M0v8ON698QWWw5kEpEQiSzLdBvU25WKSm/Q46iqaHCkg6TVYfdxXytVluCjX9Ob9LUIQks6n6klchvNJHTs2DF27dpFbm4uVVVV7Nq1i127drX4/MmaoJmYmMjixYspKChwzf9vq8So2ktAaXkln/6wje37TrLn8CkOHHev9e0/lsNND7/NHVOH89YzMwF4f/0JdNHOxPr9Rg4k80g6JflFRMbHcOrYSTR+Adgryuu9Z0hyF0rN7omSFRWO5Jqb+NUJQsvSys4pKY05vi265557WL9+vev3AQMGAO5z7iVJYsmSJdx5553NVo6VK1dy7Ngxjh07Rnx8vNu+tjpbUgTOdm7Fr/u59bH3qLJYkfA8uu/D7zYzblg3bp40GItDpSbDsE7vw5Q7p5Gydiv+Rn9yTmZhryhHG2DEbi4HJGcnzuk3uV9CErroujP/GHRteEKbIHhBlkAne5cEQdeG0+6tW7fO4/60tDS0Wi0jR45s1nLceeedzRqYm4MInO3YweM53PzIO9gdCqrq3ci+5978kZsnDaZjqIGCs7brffXcefvV9An3JfCBKezbe4yPv9vEb3ssaP38AAlJljHEJmKIqDuHrUaWuGaA5wViBeFioJGdza915aqF9pGr9qeffmL27Nl06dKltYvS5ojA2Y69+skaVFWts7kjLjqMpIRILBYbew6lY7U6B/GcyCwE4LHr+/GHrw7i769Hr5WZNTiebpEBOBQVjSzRPXYwv7t6CKt3HOMvb/xIeHwMST27sHlvHlaro1aQliXQa2XuGJXUzK9aEFpGTUagmqQIKs6Gl7bap9lYc+bMae0itFkicLZj363ejf2cLNOx0aE8OnsqA/sku7aZK6pZ+t1GPvt2A4qqcjK7iA6xYfTyU0hTVKb1iqJLhD/grDWe/d+xg5JZ9H+3sWx/HpIkMbRPDNv351JVbUc63YKrqBDkp+PduwcTHyoWDhbaF0k6/9G2wsVJBM52zHK6FlkjIiyI1+ffR0CAew7GAH9f7rn1KoIC/Xjzw5/pMeVpHvz9lfz94et57NNUBicEI9fzCC1LEiM6hPD++jQKTFWEBhkY0isKA+AnS/jpZAZ1DGFyvxj0on9TEIR2QATOdqxP1zi270t3JR2YecNoAgJ80WrqDmA3XzOS71ZsJTu3mFf+u4bXPlnL/beORyPXnWu2ho9WZuH1PVBVFb1OJi7E4PVK6oIgCBebNjpQWmgKf5g+2hU0NRqZiaMH1Bs0AewOBxNGD3D9rigqRcVlXt0rMcyP5KgA4kP9RNAUBKFdE4GzHbt54kCmX+2sLfr7+aLX6zyfoEJEqPvyS7sOZjR4H0VRLurRg4IgCI0hAmc7Jssy782/nVf/73dUVVmw2eyeT5CgpMw9QcHhtFx+TTmC3V73jG+73cGP6/agKG14qXtBEIQmJAJnOyfLMvfeNIr/u+9qVv+6B7uj/pQnWo2GlRt21dr+h6f/S16RCcdZI3RVVcXhUDiZXcTLH/6CVisG/giXJotdId9kIafUQr7JgsUuHiLbOzE46BIx755JDJ3xIqOG9kTSg+acvk5FVVm+JoWTpwpqnXsqr4QrZi7k3ltG8/upwwkPCSC30MSH3/zG+19t5K+zr26plyEIbYa52k5WiYWSCpvbvGWJKkL8dcSF6AnwFV+x7ZGocV5Ctnz6GH954UPSMvLdtlttdr5Y9iv/emdZvecWl1Xwj3d/ovc1TxE98hH6T32alz74hbLyKkYN6tzcRReENqXIbGVflpnic4ImOBMhFFfYnPvNLZsw3Vu7d+9mxowZJCQkYDAY6NGjB6+88kqrlKWoqIhJkyYRGxuLXq8nISGBuXPnYjKZWqU83hCPQ5cQSZL4799vZ+BNL9C1UyxJCVFYLFZ27DlORaWnhak9XRMWv7+STxbd3cSlFYS2yVxt52heZYOr66kqHMmrpLdWbnM1z5SUFCIjI/n4449JSEhg06ZNzJ49G41Gw9y5c1u0LLIsM3XqVObPn09ERATHjh1jzpw5FBcX8+mnn7ZoWbwlqW01/XwTM5lMBAUFUVZWRmBgYMMntGNDf7eAPUeymvSaY4Z05a1nbqNDbGiTXlcQzpenz3x1dTVpaWl07NgRX1/feq5Qt8M5FRRX2Bo+8LRQfx3dYvwbdY/WMGfOHA4ePMiaNWtauyi8+uqrLFq0iMzMzBa9r7fvC9FUewm67bphNPWa9BtTjzH2zn+SV9R2m1cE4UJZ7EqjgiZASYXtohgwVFZWRmho6z/4Zmdn8/XXXzN69OjWLkq9ROC8BI0f3h3v1krxnsOhkF9UzuufrG3S6wpCW1JW2bigCc5PWlllA1PBWtmmTZv4/PPPmT17dquVYcaMGfj5+REXF0dgYCD/+c9/Wq0sDRGB8xL09cqdzXJdh6Lwzhcbm+XagtAWOM6z4ujwtBBuK9u3bx9Tp07l6aefZsKECa1WjpdeeonU1FS+++47jh8/zqOPPtpqZWlI2+qxFlrEtj3pzXZtU0U1a7ceZuzQbs12D0FoLZrzrGpo2mhqrQMHDjBu3Dhmz57Nk08+2apliY6OJjo6mu7duxMaGsqoUaN46qmniIlpe2v4ihrnJUirbd4/+1Ovfdes1xeE1hLkp2v06AAJCPJre3WU/fv3M3bsWO644w5eeOGF1i6Om5pMZBaLpZVLUre299cUmt2EkT35acO+Zrt+yv4MjmcUkJwY0Wz3EITWoNfKhPjrGjVAKMRfh76ZH1Yba9++fVx55ZVMnDiRRx99lNzcXMCZGCUiomU/tz/99BN5eXkMGTKEgIAA9u/fz2OPPcbIkSNJSkpq0bJ4q239NYUWMWPyEEKDzm9BaV1QsFfH5ReXn9f1BaGtiwvR4+0CQJLkPL6t+fLLLykoKODjjz8mJibG9TNkyBDXMenp6UiSxLp165q1LAaDgXfffZfLL7+cHj168Mgjj3Ddddfxww8/NOt9L4SYx3mJSj2Qwdg7/4nVVn/uWte3g6oiabQE9eiHT0gY5ScOU5V10uP1Rw5M5s6pw7lp4iB8G1qVRRCaQXPN4wQoNls50kASBEmCrlF+hAb4NPr6bcHatWu54YYbOHHiBCEhIa1dnBbh7ftCNNVeogb2TGTc0B78/GvtJluNr4Ggnv2xFBWgKg50/gH4RsQgnc5vG9i5B/qQcEr3pdR7/c27TvBb6nEWLfmF5e88RExEULO9FkFoaaEBPvTWyvXkqqVd5Kr96aef+Otf/3rJBM3GuHj/qsIFcTgUtu9Lq3Ofb0QMOmMQPoHBde6XJAnf8EhkHz2Kte7O+5oFtE9kFnLrn//D2g//1CTlFoS2IsBXS7cYLRa7QlmlHYeiopElgvy0ba5P83wsWrSotYvQZl38f13hvCz/dT+FpRV17pN0WhpMxAlI2oabYO0OhS170tix33PTriBcrPRamchAH2KC9UQG+rSLoCl4Jmqcl6i9R7LQyFKdE7MdVVV4Gv2gKg6q8nNxVNUdeAF0QaH4hkciyRocleUs/+0gg3t1aJKyC4IgtCYROC9RPj5alHpqldX5OQR27oEqy0jnBFCrqZSSvSmotrqXS5J1PgT3GYRPYDDq6blYSBIfHLJT/vV+dH4+yJJE7+gARncKIcrY9kYcCoIgeCLaFC5Rk0f1rrc1VnXYMR07gCRJnD3o2lFdRcmubfUGTYDgXgPQBThHMEqy7PyRJBwqfLExnbQ8M0WVNjamlfDC6hPszhbTVgRBuLiIwHmJ6t4pmpGDu9S7vyrnFCX7UnFUml3bKk6loyoepq8A9gozklzX20pCVRR+3bifU8cyUFRwqPDe9ixKqxqfOFsQBKG1iMB5Cbt72giP+y2FeRRu/5WCbRsoStlE5an0Bq9ZlZ9T7z5JlpECgvnlsx84vvcI4Bx9+2t6aWOKLQiC0KpEH+clKjO3hPuf+dirYx2VFXiuZ56hOjwvnyRJEpIk89sPa0nsloS/QY+igF1xzn+TJY/jkgShzSmtsnEwv4Jqu4KvVqZHpD/BBpH0oz0TgfMS9d5Xv+I43zWSPNAY6l/pXlVVFKsFVXFgV0CXn8sz916FXitz9jq/Ovn8V6EQhJZysqSKFYeL2JtbztmD02UJ+kQbmdgtjA4hhtYroNBsxNfTJWr9tiPNskagzVSMYq1/8FDl6VR9Go1MoKO6zjlvNuX81z0UhJawK9vEvzacZHeOe9AEUFTYnVPu3N9GB78VFRUxadIkYmNj0ev1JCQkMHfuXEwmU6uUZ/Xq1YwYMQKj0Uh0dDTz5s3Dbm+7i39fUOBcuHAhkiTx8MMPA1BcXMwDDzxAt27dMBgMJCYm8uCDD1JWVlbvNWw2G/PmzaNPnz74+/sTGxvL7bffTnZ2tttxSUlJp5v5zvwsXLjwQoovNAPFYqU8/Uit7aqqYjOVUlHTT6qqGP3rzwVpV7zKwSAILe5kSRVLtmdjb+DB066ovL89i5MlVS1UMu/JsszUqVNZtmwZR44c4YMPPmDVqlXcf//9LV6W3bt3M3nyZCZNmsTOnTv5/PPPWbZsGX/5y19avCzeOu/AuX37dt5++2369u3r2padnU12djaLFy9m3759fPDBByxfvpy777673utUVlaSmprKU089RWpqKl9//TWHDx/muuuuq3Xsc889R05OjuvngQceON/iX/JGX9bVq8V1NY1uM1Wpys1COauvU1VVrCWFFO/eBqfndjoUlevHD/RwFRBxU2iLVhwuajBo1rArKr8cKWrmEjVeSEgIf/jDHxg8eDAdOnRg3Lhx/PGPf2Tjxo0tXpbPP/+cvn378re//Y3OnTszevRoXnzxRf79739TXt42a+zn1cdpNpuZOXMm7777LvPnz3dt7927N1999ZXr9+TkZF544QVuu+027HY7Wm3t2wUFBbFy5Uq3ba+//jqXXXYZGRkZJCYmurbXVOOFC3f3jZfz0oerUFRHvTW7t5+5jY0pR1m+cT/VNjs2fQCSRkt1YZ7n6qCioFRXI/sHuDbJPnpX0JQkiZsnDaZTgud1/1QVGr1qsCA0o9IqG3tzG/dlviennNIqW5seMJSdnc3XX3/N6NGjW/zeFoul1kokBoOB6upqUlJSGDNmTIuXqSHnVeOcM2cOU6ZMYfz48Q0eW7OkT11B09M5kiQRHBzstn3hwoWEhYUxYMAAFi1a5LEN3GKxYDKZ3H6EMxKiQ/jkxbvRajRutUqtRkaS4F/zbub2qcN497nfk7l2IQW/LubrV/9AcGiwV1XBmpVUwBkoZR+9KwvR764ezKtP3trwNUTQFNqYg/kVtfo0G6KocCi//vSUrWnGjBn4+fkRFxdHYGAg//nPf1q8DBMnTmTTpk189tlnOBwOsrKyeO655wDIyal/eltranTgXLp0KampqSxYsKDBYwsLC3n++eeZPXu219evrq5m3rx5zJgxw20NvQcffJClS5eydu1a7rvvPv7+97/z+OOP13udBQsWEBQU5PpJSEjwugyXimvG9GXnV0/yh+mj6ZoURaeEcGZeO5RNn87jD9NrP3le2SuKZc/fQEORUxsQiMb37NGEKnqtxN0zx7Pvu6d5f/4d6H08P33XTE0RhLak2n5+o9bO97zm9tJLL5Gamsp3333H8ePHefTRR1u8DBMmTGDRokXcf//96PV6unbtyuTJkwFnX2xb1KiFrDMzMxk8eDArV6509W2OGTOG/v378/LLL7sdazKZuOqqqwgNDWXZsmXodA03U9hsNm688UZOnTrFunXrPC44/f7773PfffdhNpvR62vnO7VYLFgsZ5a8MplMJCQkiIWsm8Atj7zDTxv21jsqN7j3QHzDo9y2zZ3UhT9N7Or63aE4R8/Wx0cjAqdwYZpjIevNJ0v5OLXxtaDfD4xhWIfgRp/Xkn799VdGjRpFdnY2MTExLX5/VVXJyckhJCSE9PR0evbsybZt2xgyZEiLlcHb90WjwnlKSgr5+fkMHDgQrVaLVqtl/fr1vPrqq2i1WhwO5zT58vJyJk2ahNFo5JtvvvE6aN5yyy2cPHmSlStXNhjchg4dit1uJz09vc79er2ewMBAtx+haSz5+x1MvLwX4Gza1WlPN8tKEoFde7sFTVmCAR2CmTsu2e0aGtk5X/Pc2CghgqbQdvWI9G/0e1OWoHtk/fOb2wrl9BiEsyscLUmSJGJjYzEYDHz22WckJCQwcGD9AwhbU6MGB40bN469e/e6bZs1axbdu3dn3rx5aDQaTCYTEydORK/Xs2zZMq+e5mqC5tGjR1m7di1hYWENnrNr1y5kWSYyMrIxL0FoAv4GPV+9cj87D2by9cpUyiuqSYoPJ18bwrc786myOR+gfLQyN10Wz1+v64Feq6l1HY3s/FJRcQ4EkiQRMIW2Ldigo0+0kd053g8Q6htjbHMDg3766Sfy8vIYMmQIAQEB7N+/n8cee4yRI0eSlJTU4uVZtGgRkyZNQpZlvv76axYuXMgXX3yBRlP7e6MtaFTgNBqN9O7d222bv78/YWFh9O7dG5PJxIQJE6isrOTjjz92G5QTERHh+kfo3r07CxYsYNq0adhsNm666SZSU1P54YcfcDgc5ObmAhAaGoqPjw+bN29m69atjB07FqPRyObNm3nkkUe47bbbCAkJaYp/B+E8DOiRwIAe7n3Hf51mZ29mKSrQKy6IIL8G+jKl07VOETCFi8TEbmHszzN7NSVFJ0tM6NpwRaClGQwG3n33XR555BEsFgsJCQnccMMNbnMn09PT6dixI2vXrm32ka0///wzL7zwAhaLhX79+vHdd99x9dVXN+s9L0STptxLTU1l69atAHTu3NltX1pamutJ5vDhw66kCFlZWSxbtgyA/v37u51T8wfT6/UsXbqUZ555BovFQseOHXnkkUdapSNb8CzAV8vwLuGtXQxBaDYdQgzcNSSO97dneQyeWlli1pC4Npl2b+zYsWzatMnjMWlpaQQHB9OvX79mL8+aNWua/R5NqVGDgy5mngYKCILQ/jTH4KCznSyp4pcjRezJqZ2rtm+MkQldL+5ctY899hiRkZE89thjrV2UFuPt+0IkeRcEQTgPHUIM3Ds0ntIqG4fOWh2leztZHWXRokWtXYQ2SwROQRCECxBs0LX5qSZC02qbs0sFQRAEoY0SgVMQBEEQGkEETkEQBEFoBBE4BUEQBKERxOAg4aJlttiptisE+mrRyTIHs028tSGNPUezMRWVIMsabryyFw9N7I6fj3irC4LQNMS3iXBRSU0v4a21J9idUYpDhdjIAH4/sgNVlTa+TTnBjuUbKMjKcx1/6NdNfPBld1b863aSwtp+vlDh4pNbWs2vRwoor7Zj9NVyedcIooPPb26ocHEQgVO4KKiqygvfHeS99WlInFnYrKismleKKkiM8mX1J8uwWaxu5znsDjL27Ofqh95j1wdz0WtF74TQNPZklPLGqmOs3p/vlkFIK0uM6xXJH8d3pm9icOsVUGg24ltEuCh8vjWT99anAbVXA/UP9GX/ll3YrFbcEmFJkms17PT9R/hq89EWKq3Q3q3Yk8vNr21mxd68Wmn37IrKir153PzaZn7Zm9tKJWzY6tWrGTFiBEajkejoaObNm4fdbm/2+3799ddcddVVREREEBgYyPDhw1mxYoXbMRs2bODaa68lNjYWSZL49ttvm71cjSECp9DmqarK26uP17s/JsyP43sPo57+AvONiiVs0AiiR08ievQkQgcMwzcims9+3N5SRRbasT0ZpTz4351YG1ic2mpXeOCjnezJKG2ZgjXC7t27mTx5MpMmTWLnzp18/vnnLFu2zC3Je3PZsGEDV111FT/99BMpKSmMHTuWa6+9lp07d7qOqaiooF+/fvz73/9u9vKcD9FUK7R5+SYL6YWV9e5XHXYcdudSZsbOPfCPT3KreeqMQQT3GsDRshLKqu0E+Yq3vXD+3lh1rMGgWcNqV3hz9XHenDWomUvVOJ9//jl9+/blb3/7G+BclOPFF1/klltu4emnn8ZoNDbbvV9++WW33//+97/z3Xff8f333zNgwAAArr766ja9OoqocQptnqOB5ZusDgmNVoNPSDj+8UmAc1HcGpLsfJtbfEN48vtDXn/pCcK5ckurWbU/v1HnrNqXR25pdTOV6PxYLJZaScwNBgPV1dWkpKS0aFkURaG8vJzQ0NAWve+FEIFTaPOignyJDNTXu/9Uvpnkvt3wi0tEVTwHxZ3Hi9ieWdbURRQuEb8eKWjwQe5cdkXltyOFzVSi8zNx4kQ2bdrEZ599hsPhICsri+eeew6AnJycFi3L4sWLMZvN3HLLLS163wshAqfQ5mlkiVlXdKx3reucAjOd+vXGJzDYVbusT1m5ha0ZInAK56e8+vwGz5RX25q4JBdmwoQJLFq0iPvvvx+9Xk/Xrl2ZPHkyAHIDn6Gm9Omnn/Lss8/yxRdfEBkZ2WL3vVAicAoXhXvGdOSq3lGAa6Cs6//1Og1/mdKHkKCG52lqZIlyq6O5iim0c8bz7B83+ra9ZcYeffRRSktLycjIoLCwkKlTpwLQqVOnFrn/0qVLueeee/jiiy8YP358i9yzqYjAKVwUtBqZN2YN4pXf92dQUghGg5YQfx/G9I7iuen96JMQyM1DE5Hrq5aeFh0RQIR/2/sSEy4Ol3eNQNvQm+wcWlliZNfwZirRhZEkidjYWAwGA5999hkJCQkMHDiw2e/72WefMWvWLD777DOmTJnS7PdramJ4oXDR0MgS1w2M47qBcXXuv2NUB/77azqWegb/aLUy8VFGRiaFNGcxhXYsOtiXcb0iWbE3r+GDTxvfO6pNZhJatGgRkyZNQpZlvv76axYuXMgXX3yBRqNp1vt++umn3HHHHbzyyisMHTqU3FznXFeDwUBQUBAAZrOZY8eOuc5JS0tj165dhIaGkpiY2Kzl84aocQrtRnyoH0tmX4bPWdmBauoGPjqZYX1iGJgQSJ+YgNYpoNAu/HF8Z7f3mCd6ncwfxiU3c4nOz88//8yoUaMYPHgwP/74I9999x3XX3+92zGSJPHBBx806X3feecd7HY7c+bMISYmxvXz0EMPuY7ZsWMHAwYMcE1PefTRRxkwYIBr+kxrk1S3VCvtl8lkIigoiLKyMgIDA1u7OEIzKq6w8sKPh9l2ohhFhbBgAx2jAxjbJZxreja+qU24OHn6zFdXV5OWlkbHjh1rTcvwxi97c3ngI89JEHy0Mq/dPoAJfaIbff22IC0tja5du3LgwAG6dOnS2sVpEd6+L0RTrdDuhPr78M9b+lBtV8gqq0YC4oN8va4lCEJDJvSJ5n8PDOfN1cdZtS+vVq7a8b2j+MO45Is6V+1PP/3E7NmzL5mg2RgicArtlq9WJjnMr7WLIbRTfRODeXPWIHJLq/ntSCHl1TaMvjpGdg1vk32ajTVnzpzWLkKbJQKnIAjCBYgO9uXGy+JbuxhCCxJtV4IgCILQCCJwCoIgCEIjiMApCIIgCI0gAqcgCIIgNIIYHCQIgnABsvJLWbPlECZzNYEBvlw5rDtxkcGtXSyhGYnAKVxSSiqsZBRV4q/XkBwZ4LZu56Wg2urgx1057MooQSPLjOoWzpgekWjOSQpRkxflUvv3aYyU/Sd58f1f+GnDXuxnJULQamUmX9GHx++awKBeHVqxhEJzEYFTuCTkllazYNlBftyd41pPsWOEP49M6sq1A2NbuXQtY+vxIu57P4WySpsre9KHG9NJCvfjw/uGkhBmoLjCRnapBXO1AwkINGiJDdET7CcS45/tuzW7ueOJJVistZcZs9sVlq3ZzYpf9/PRwllcN7ZfK5RQaE6ij1No9/LLqpn28m/8uDuHIIOO/h2C6RJtJL2gggf/u5MPN6a3dhGbXXpBBXe+vY3yKue6kHZFdWW7ySyuYsYbmzmeV8mR3ErM1c5l11SgrMrOwewKckqrW6vobU7K/pP1Bs2zWax2bv/LElL2n2yhktXv3XffZdSoUYSEhBASEsL48ePZtm2b2zFff/01EyZMICwsDEmS2LVr13nd68EHH2TQoEHo9Xr69+9fa/+6deuYOnUqMTEx+Pv7079/fz755BO3Yz744AMkSXL7OTcF3jPPPEP37t3x9/d3vaatW7e63efca9T8bN++/bxeWw1R4xTavVdWHEUjSyy+tT9X9YlxNUtmFFXw+i9Hmf/tAa7pH0uY0aeVS9p8lmxIw+ZQUerITO1QVCKMvhSY619sOb2wmg83pCNJcM2AGHrFBzVjadu2F9//pcGgWcNitbPo/V9Y+s97m7lUnq1bt44ZM2YwYsQIfH19+cc//sGECRPYv38/cXHO1YYqKiq4/PLLueWWW7j33gsr71133cXWrVvZs2dPrX2bNm2ib9++zJs3j6ioKH744Qduv/12goKCuOaaa1zHBQYGcvjwYdfv53YbdO3alddff51OnTpRVVXFSy+9xIQJEzh27BgRERGMGDGCnJwct3OeeuopVq9ezeDBgy/o9Ykk70K7Vm11cNXC9XwyZwShAT5oNWcaWRRVRZYkFizbT2yIH3eP7ohGcl8ou70Y/NRKiszWevc/fk0P+iaEINeTAN+hKKw9kMeHG9NwKCrje0Xy6u0DMfg07xJUF6I5krxn5ZfSbfLfcDjqT+5+Lq1W5tCPz7WpAUMOh4OQkBBef/11br/9drd96enpdOzYkZ07d9ZZY/TWM888w7fffutVzXXKlClERUXx/vvvA84a58MPP0xpaanX96v5e69atYpx48bV2m+z2YiLi+OBBx7gqaeeqvMa3r4vRFOt0K4Vmi3ce2XnWkEzs6iSZSlZfLvjFNOHdaC4vBq7Ah4Wu7ioVVkdHvd3ijTWGzQBNLJMp0ijq394zYF8/vTprqYs4kVhzZZDjQqa4OzzXLvlUDOV6PxUVlZis9kIDQ1t7aIAUFZWVqssZrOZDh06kJCQwNSpU9m/f3+951utVt555x2CgoLo16/uPuVly5ZRVFTErFmzLri8oqlWaNcCDTqmDopzBc2SCit//Xw36w/mU9PUIgF9EoIpqbAS4u+DRoX2tvJY12gjezJL62yqBbArnoOBqqrYznqqUFT4eXcux/PNJEdeOuubmszn19drqmhbfcTz5s0jNjaW8ePHt3ZR+OKLL9i+fTtvv/22a1u3bt14//336du3L2VlZSxevJgRI0awf/9+4uPP5AX+4YcfmD59OpWVlcTExLBy5UrCw8PrvM97773HxIkT3c4/X6LGKbRrRl8dep2zObHa5uCOt7aw8XABZ8cPFdh/qow73tpCtc1BIysUF4XfX96h3qAJsONEscfzVSAl3f0YWYKVe/OaoHQXj8CA81v1JNC/7ayWsnDhQpYuXco333xzXmuRNqW1a9cya9Ys3n33XXr16uXaPnz4cG6//Xb69+/P6NGj+frrr4mIiHALrgBjx45l165dbNq0iUmTJnHLLbeQn59f6z6nTp1ixYoV3H333U1SbhE4hXavpht/WWoWR3PLXc2NZ3OoKkdzy/nTJ6mcLKho6SI2u+sGxjK4Y0it7TX9uVGBPtRXyXYoKlVWB+sPugdJWZKosHg3SKa9uHJYd7SNXNdVq5UZO6x7M5WocRYvXszChQv55Zdf6Nu3b6uWZf369Vx77bW89NJLtfpZz6XT6RgwYADHjh1z2+7v70/nzp0ZNmwY7733Hlqtlvfee6/W+UuWLCEsLIzrrruuScoummqFdk2SQCNJ2BWVb7ZnIgGeRsOt2Z/Pmv35/H5kB56+oVetxACtpcJi57uUbFbuy6XK6qB3fBAzhieSHFV/M6mpysZX20+x/XgxO9JKKCi3IElw9nDAYIOOp2/oxdRBcZRU2DiSW+GqmSqKiiRBldXOP74/QHm1e5C0KypHS6r5v5+PEqDXMCwxmOEdgvDVtd0BQxcqLjKYyVf0Ydma3V6fM+WKPm1iYNCLL77ICy+8wIoVKy54VOmFWrduHddccw3/+Mc/mD17doPHOxwO9u7dy+TJkz0epygKFovFbZuqqixZsoTbb78dna5p5iOLwCm0O6qqcqSwkoN5FSiqSvdIf5JC/SkwWTwGzbP997eTGA1aHpvS+jWF43lmbn1jC/kmiyvw70gr4f31afx1ag/uGdOp1jnrDubzxw9SqbY63Julz/kHKKm0kVvm7H8L8dcxMCmQfJOV8io7+7PK+GVPLhsOF1Btqz24SKuRkHx1lFbbKa228+XePNYdL+aRKzoQbGi/CRMev2sCK37d79WUFF+9jsfumtACpfLsH//4B3/729/49NNPSUpKIjc3F4CAgAACApwPX8XFxWRkZJCdnQ3gmgoSHR1NdHS01/c6duwYZrOZ3NxcqqqqXKNqe/bsiY+PD2vXruWaa67hoYce4sYbb3SVxcfHxzVA6LnnnmPYsGF07tyZ0tJSFi1axMmTJ7nnnnsA59SZF154geuuu46YmBgKCwv597//TVZWFjfffLNbedasWUNaWprr3KYgpqMI7UpxhZX/+2wrKalHcNjthEWHk9SrMz1jg9mQksXujBKPfX1n02tltj03nsBWDAJWu8KYF9aSb7LU2cQM8N49g+kQ7s+20/2U0UF67ns/BbtD9epBIdTfh83PjMPnnCbIE/lmJvxjQ733jQrzY1Av9y9UWYJOoQYeuSLJizs3r+aYjlJj2drd3P4Xz0kQ9D7aNpM5KCkpiZMnaydiePrpp3nmmWcA5xSQukacnn3MnXfeSXp6OuvWrav3XmPGjGH9+vW1tqelpZGUlMSdd97Jhx9+WGv/6NGjXdd95JFH+Prrr8nNzSUkJIRBgwYxf/58BgwYADj/frfeeitbt26lsLCQsLAwhgwZwpNPPsmQIUPcrnvrrbdy8uRJfvvtt3rLXMPb98UFBc6FCxfyxBNP8NBDD/Hyyy9TXFzM008/zS+//EJGRgYRERFcf/31PP/88wQF1T9hWlVVnn76ad59911KS0sZOXIkb775Jl26dHEdU1xczAMPPMD333+PLMvceOONvPLKK66npYaIwNn+5RaZuHL2v0k7kYVWIyNJEja7A61WQ0BwIGaTGQUZ34ho/OKT0Br8Grzma7cP4JoBrZeS74ed2Tzw0c5698tAgEGLqerC+hq/fmgEA5Lc+0AX/XiIt1Yf9/igccXgeAL8aieO+OuVHYkLat2BJ80ZOMGZQWjR+7/wYx25aqdc0YfH2mGu2tGjRzN27FhXIG1vvH1fnHdTbc3w4bM7mLOzs8nOzmbx4sX07NmTkydPcv/995Odnc2XX35Z77VefPFFXn31VT788EM6duzIU089xcSJEzlw4ICr8DNnziQnJ4eVK1dis9mYNWsWs2fP5tNPPz3flyC0I4qicM2cN8g46cwUYj9raKzd7qC0sMT1e2XWSSqzTqILDME3MhpDVBxyPX0flQ3Mf2xuGw4VoJGlemt9Clxw0ASwnDOBVVVVPtuc4TFoShJk5pbTvWMopSYLWfnlWGwOHOUmbl+5gZL8Anx9dFw7pi933TiSqLD29cA6qFcHlv7zXrLyS1m75RCmimoC/X0Z205XRykrK+P48eP8+OOPrV2UVndegdNsNjNz5kzeffdd5s+f79reu3dvvvrqK9fvycnJvPDCC9x2223Y7Xa02tq3U1WVl19+mSeffJKpU6cC8NFHHxEVFcW3337L9OnTOXjwIMuXL2f79u2uTu3XXnuNyZMns3jxYmJjL40k3UL91mw9zP7Dpxp1js1Ugs1UgjntKCF9BuETXHsyeGcPg29agjOfbPP2pmhliS7R7q/T6lAoqag/BR84+0srq2ykHsgjr6gSSYLy9GOY045y9iik3YdP8dJHq/n+jTkM7dux2V5Ha4mLDOa264a1djGaXVBQEKdONe4z1l6d13SUOXPmMGXKFK8mz9Y0k9QVNMHZ7p2bm+t2raCgIIYOHcrmzZsB2Lx5M8HBwW4jwcaPH48sy25Jfc9msVgwmUxuP0L79c3qXW6ZgRpDddgp2bsDh+XMJHVZgi5RAQzoENxEJTw//RKDaSA3wQXRyBLXDIghLEDvtt1HI+Or8/zvKUlgrrSRV1QJQFVBvjNogtsoJEVRqaiycP3cNyhvY4kABOF8NPqbZunSpaSmprJgwYIGjy0sLOT555/3ONy4ZkRVVFSU2/aoqCjXvtzcXCIjI932a7VaQkNDXceca8GCBQQFBbl+EhISGiyvcPEyV1pRLmCcm+pwUJWTCTiDiV6nYfGt/Vp9Pcppg+Pw9dHUO8fyQsgSJIYZeOr6XrX2SZLEtMHxHqfjqCpUVJ2plVZkptV7rKKolJZX8dmPF7YqhSC0BY0KnJmZmTz00EN88sknDXaom0wmpkyZQs+ePVulI/mJJ56grKzM9ZOZmdniZRBaTtekqIYPOocuKBRj5x4EduuNX3wSlpJiZAkm9Y3mu0dG0jcxuOkL2kiBBh1v3DkQrUZq0jmlEUY9D0zowrePXE5oQN2rwtx3ZScMOk2d6QclwHjWGp2qqmIr85x9SJYk1u84ciHFbnKXyKQCwUvevh8a1ceZkpJCfn4+AwcOdG1zOBxs2LCB119/HYvFgkajoby8nEmTJmE0Gvnmm288TjqtmR+Ul5dHTEyMa3teXp4rM390dHStNEp2u53i4uJ65xfp9Xr0en2d+4T2546pw1jw9k940x8oaXXOPs2gENSadtDTfXJTLovn1emtP33gbGN6RPLDn0axZEMan2/NrDUX05PYYF+yS6uRgKGdw7jvyk6M6hbhVRDuEO7P0rnDeOCjnaQVVCDXdFtKcN2AWKJCDbyz6nijXktbiVM130mVlZUYDIZWLo3QVlRWOrsdGkqU0KjAOW7cOPbu3eu2bdasWXTv3p158+ah0WgwmUxMnDgRvV7PsmXLGqyZduzYkejoaFavXu0KlCaTia1bt/KHP/wBcOYtLC0tJSUlhUGDBgHOSa2KojB06NDGvAShnYqLDGbhn2/isRe/QJYlFA/DQUN6D0RndE6PkmT3Rpfvt55ifLcIrmuhKSiKqpJVZsHqUIgM8MGor/sj2TXGyILf9cVXp+G/v52sd5RtDVmCwR1D+fiPQ1FPJ60/nz7gXvFBrH5iNFuPF3Mwy4ReJzO6RyRxIQb2Zpa5AqckSegCg7GZSuu9lorKyAHJjS5Dc9BoNAQHB7seyP38/Fq9WV5oPaqqUllZSX5+PsHBwWg0nrNfNSpwGo1Gevfu7bbN39+fsLAwevfujclkYsKECVRWVvLxxx+7DcqJiIhwFaZ79+4sWLCAadOmIUkSDz/8MPPnz6dLly6u6SixsbFcf/31APTo0YNJkyZx77338tZbb2Gz2Zg7dy7Tp08XI2oFwFlh/OP0K4iLCuGf7y8nZX/tyd4AuqCQOkfPui4CvLT8aIsEzl9PlPDz4QJKqx2u2w+INXJjn6h6M+/cPiqJTzadRKH+urWPVuaWoQn89boe6M5zwNTZJEliWOcwhnUOc9tuUC3IGYcoNlWg8TdiiE2sN3DKkoSfwYeZ1152weVpKjWtVXUlBRcuTcHBwV5lSWrSlHupqamuUa6dO3d221eTNQKcqZzKyspc+x5//HEqKiqYPXs2paWlXH755SxfvtyttvrJJ58wd+5cxo0b50qA8OqrrzZl8YWLnCzB9WP7cN2YPuSXmBlw/bOUmavcjvENj0JVlFo1zbOl55sxVdmaJWNQpcXOhxvT+c/6NIrNVjSyREyEP50Sggnw82FXdjkniqp4fGxHgnydH8/MokqWbEhjWWo2lVYHMcEGskursDucobMmDZ+vTuaxKd256bL4WmW32ez8tGEfpopqRg/pQmLMmSBoqrJxsriKYIOO+BDfBmteNpudq+5+ma17089sLHQGH21gMHZTqdt0FFmW8NFp+d9Lswk2Npx0oqVIkkRMTAyRkZHYbJ6n3gjtn06na7CmWUOk3BParccXf8UbS9e7LTwc2KUXhph4j4ETYOsz44hs4sw35mo7M/69mQNZJrfEApLkrJFd1ieGkCBfZAku7xjC7/pFs/NkCbe9sRWLXXE1z9bEpKQIP5LC/dHIEiO6hNcZMFVV5a4nP+R/y1Pcmnc7J0bwxvxZvLU5j21HCl0JIxIiA5h7VTK3DK5/zcKRM18k9UBGvfsNsQkoFgu28jIkWcYvMpr/PnkDE4e07BxO8ZkXmotYVkxotx78/ZUEBfiiOau50l5RfmYtrXpoNTInmmFpsX/9fLhW0ARnEHQoKqkH81BUFUWFLSdLqbI5mP3ejtNrhKpuxwOcLKxkQFII/7lnCHeN7lhnDXn83S+z9KcdtfpEj2UUMOGORWxMTXfLsnQq38xfPt3N62vqHvSz+9Apj0EToDovm5A+g4gccSURw8YQ2LkHX+wq9HiOIFxMROAU2q34qBBWvfcI3c6aqlKVnw2K4nHYeYCfjlnvbCOtCYNnldXB0i2ZHlPYWawO8k8nE7A6VH7YlUNhubXec1QVPtzoHvjOtmbrYTbt9DDqVVUpPei+PJZ6+rqv/HyEkgprrVMWvPtz/deruYbDgbXsTIpDh6Ky9mA+ZZWiOVRoH0TgFNq1Hskx7PjfX+kxZgzGzj0wduyG4rDX24/nb9BRZrZgc6i8t+5Ek5Ujo6iSqgby3koSmMzOtQQl4FCWCa3Gc+242Gwlp7TubDzPv/lDg+WymUrPTMk5i92u8Nb62gkNCorLG7wmgKPavW9ZVaG00ur2e82PIFxsROAU2j1JkrhtQh+MCUn4xSWi8al7fq+/QUtVtc3VdLosNbvJyrDjhOfkAACozoE0sgT9Yo3otbJXaWrrm5N5Krekzu3ncthq1ywlCY7mmmtt13m5SLWkc0+qoJUlwgL0KCpY7WBxnPmxKyKAChcXETiFS8LvR3Yg0KDzOPG/osru1izaUA3RW8VmK89/e6DB41QgMtQPWZKY1C2cUd3CTyd5r5sEdIzwJya49iAmVVXx0dedEehccl15pFXw09cOkgN7JXl3TVlGsVooTztC/ua15KxfwWU3z2fRkpWUnjPS2a6A1SGCp3DxEIFTuCREBPqydO5wYk8HmYbmuktAUrh/k9z7i62ZWOvphzxbWLAvieH+zB2ZQEKwL8M6h9Ej1lhvsFeB+8cl12p2/mVvLuMWrKfAJ6zO886m8TUga+pYtQiYcVnt/M6bTtauhdZFsdsp3PEbFSePo1iqcTgcpJ0q5LnXl3HVrMUUlbpfR8UZQAXhYiACp3DJ6BZjZN3/jeX9e4dwy9DEBo///aimWYR458kSr5pcX/39AJ6f1Jku4f6uzEf/uWcI8aHOlHA18bEmkN5/ZTI3X+Y+bWRZahb3vZ9CekEFfnEdkOpZlaiGMblHndu7xAUysot74D2eZybNYmjwqUNj8MN88hiKtXYTsKKqHM8s4PFF/6u1z+ZQKTbXPkcQ2pomTYAgCG2dLEuM7RnJmB6RRBj1vL7yqCuBgOsYCS5LDmX6sIaDq1f3lCRq3eQcWlliWFIwP+3K4b31aezOKEUChnUO4/+u60F5tZ0fd+VQXm2jS5SRGcMT6Z0Q5HYNi93BU1/ug9O3kiSJ8CGjKErZhGK1uJdJlpg4ZTS7zAZU9UwsVFVIjjby+R/OpLIsrLCyNaOMH1Oz0Oj1+MV1oPJUer2vZfK4QXz/w8Z69zscCt+tSuXvj9xIVPiZ+ZWyLDHxxQ0kR/rz8KSutTIVCUJbIQKncEmSJPjT5K50jPDjjVXHOJ7vnHoS4qfjtss7MGd8Z3y0TdMgc3nXcJbvqXv5O3AG6hFdwpj/3UGWbEh3JVNXga3Hith0tIi/XNud9+4d4vE+q/flY6qyu23T6H2JHHEllqICKrMzUBUHs6cM4IUHrsHHR0tuaRX/XnOC4wUVBOi13DosgdHdwpEkCUVV+WZfPmuOOVeNSSuqAhWMyd1BVanMOp3WsCYjgywT2LkHvTuE8X0D/yYORWXvkVNEhfd0226xOdh+opiZb2zhtdsHMrl/TD1XEITWIwKncEm7YUg80wbHkVtWjc2uEhPi2yT5Xc/WJykEnVbGVk8nnqJCl1gj761Nc/1e43RWPRZ+f4hR3cLpGRdUxxWcskqqkCXqnPepD4tAHxYBwI1Th+Hj4/zoRwcbeP6G2utxAvxypIg1x4pdZTL6+7hqsoFdeuKf0JHqglwUmw2NrwHfyGh8ffVEB3u32sjZSecdisrujBLKq52BXwIeX7qbsT0jMfh4N5JXEFqK6OMULnmSJBETbCAx3K/JgybAjuxyhvaNQXtODbamp7BXchjrDxd6HPGrkSU++c1zxp5Qfx+PCRbOPq4hVrvCL0eK3LaFhxgwnLV6i8bXgH9CR4yduuIXm4DOx4cbBsdx9eU9G8x362fwYXCfMyn4NLLEO6vPJGtQgQqLg5925TT8ggShhYnAKQhNQFVVtp8o5t8rj/HGqmPsTC9xZSc6WVJFYICeMUMS6N4plJAgX4KMehJjAxk1KJ4OcUGcKqz0uFSYQ1HZlVHqsQxX9YlC5yFhgiRB1+gAukQHNPh6jhZWYjmnhixJEgN7RqHRSJx7F1mCzpEBPHFdDxKiQ7h54sB6HwQkCe69+QoMvjociopDUXj2672sP+S+SolOI3Esz7tRvILQkkRTrSBcoIzCSu5fsoOD2eWuYOFQVPrEB/HGrIFoT2/z0WnoFB9Mp/jgWtfwZmFpfQN9rukFFR5rnKoKf7m2h1frTlrOmj5jsTowmS1IkkRwoJ7LB8aTdqqMrPxyHA6V6CBfZo5M5M5RHQk4vaLLv5+6lZyCMjamHEOjkXE4FLQaGbtD4fpxA/jzPVezfHcOx/PNfLUtk3yTpVYZHIqKv69ophXaHhE4LyFZZdUcLXTmQu0c7kd8E6/+cSkyVdn43eubKSh3fvGfXWs8kG1ixr+38MA1PcgzW+ud4C9JMCg5lN8OFtRb65QlmNDH8zqBC78/5DEHr0aWSC+oYOuxIoY2MGI1xqjHanNw4HgROQVmV9k1skSHuEB6JofRu0s4j49JokNI7T7NAD89P7/9IB/8vIt31pygQNGjSjIRATrGXpmM0VfLS8sPk1VcVevcGooKV/cTg4OEtkcEzktAWbWNl9alU3DOiMvoAB0PXN6h3kWThYZ9viWTPFN1nUHRoahkFVdRXFKJTpawOdRaM1IkQCdLPDqxC1sOF6IotY+RJQjw1XLz0PqX+soprWLzsaJ699eU57nTGYz89RqeuK4HM0fUPVc1UK8hdV8uJeUWt/I4FJUTmWVUVtm4bniHOoNmja0ninlxfR4OyQ9Vcl6l0GxjwfeH+GJTGmGh/h4DZ3S4P/6+4r0ptD2ij7OdyzFZePLnY7WCJkCe2cbzvxyn2tY0qeUuRd+mZDWYKm7Fnlz+OCLR1dQqcWZgkF4r88cRifRLCOaduwfj66NBkmrW6HQeYzTo+PC+oYQF1J1jF6izqdOTCouDJ/+3j/frSOQOsHRzRq2gebbcwkp6hdTfYmGxOfjjB6nYHIr7kmg4m4yPFVRTaVXo2zUC+fQLrZnuCs6g2a9bBIcLm355N0G4UKLG2Y4VmK0sWHOC+jKZqUC1ovLlrhxuG1J/bUaoX11Lb51NBUorrHQJ92P+pM5szSjj2Onm8i4RflyWEERZhY1/rzxGZnEl04cloNPIZBRVIksSI7uGMXVQHP56zx/VcGP9QdWTBd8f5M5RHZDPWdj7s82eR/BqZInV+/K4bkBsnft/3JXjeRkxSeJktolxwzoQFe5Hdn4FFVVWtBqZmIgAjP4+zpwRIn+t0AaJwNmO/W9PrmseoCcpWeXc5nluvVCPThH+5JVVuw3KqS7MdyYbcDjQBwWR0GU4AAadhjHJoYxJDnUd+++Vx/jXz4cBZ4YhFWdz6OT+Mfzr1n7oz1qNJKukiu0nilFVlcEdQ0kI83PtiwsxMKRTCClpJV5NSalhd6gs3ZLJrec02eaUVnvMEuhQVE4VV9a7/8DpJdHsHt6ANrtCtdWOn6+ODrGBtfarQKcw7+aECkJLEoGznSqpsrE/z7tmLtWLUZZC3WaM6MBvR519i3ZLFUU7NqGetUyXrayYL/+TzmVB1cydeaXbuZ9vyWDxT4ddvytnVa+W787B30fDizP6UVZpY97ne/hlb66rBiYBV/aK5MXp/QgNcM7LfOLaHtzy+mZQ1EYFzwNZplrbQvx9qLTW3/8oSxDhoZar08he1hbrPkhRFDqG+ZHoZTIFQWhJoo+znSpsoAnxbHovpkIIdRveNYzEyAAURaFo+29uQbOGqqo8tvhrvl6Z6tqmKCqvrDha73UVFb7afoqThRXMfGMLq/bluQUiFVh3sIDpr2+m0uLsvx6QFMJ/7x9K4lk1UW/U1cx782XxeHpbKKoz61J9ruwV6XFeqqqq2CvKMeUXoqoqyunFtFVVRVVUsNm4+zLRfSC0TaLGeQEcisqrK46wZEM65dV2JCAx3I/Hp3Rv9RybDc35O5tsF4ODzodDUXljUya9u0VQdDKNfLuHPj3gL//6hhuuGgjAoRwTOaXVHo9XVXhlxVH211EjrLn/0TwzX247RZhRz0+nk8CP7h7Bg4nBVNsV/vrF3gZfx92jO9ba9vvLk1i6JZOCckutAKiRoF+HYK7sGVnvNQd3DKF/YjB7T5XVGUAlScKcfozlqZtI7tON7oN6YQwOpLqyiqO7D/GPu0YT5uccUVttc2BXVPx8NM6E+YLQykTgPE82h8KEhetJL6wkJtiXq/pEo5El9mWWMefDVO5MS+LpaXXnAG0J8UG+hBp0FFd5/jIPN2jpFy6aw87H7pxycsqtIEkUp9U9OvVsmbklVFZZ8DPoqbQ0/LAiSxIpacX15p+t8fdlB7HYFddxm44W8eGvJ5l7VWemDozhu9T609ZN7heNsY7pSKEBPvzvweE8+NFOdp4sdW2XJJjYN4aF0/u45Zo9lyRJvHPPYG5/cyuHcspdi8PU/DdEayW3IBdJlji66yBHdx10JUh4bu61jB3Ume/357PiSJGrCVuSJHpE+nPXkFj8fMRXl9B6xLvvPM1buof8cguLb+3P1f1ikWUJVVWRJIndJ0t47LNdTOkXw+BOoQ1frBnIksQ1PSP4KCW73mOC9RrUCivTJnZuwZK1H7uyyl0Lg9jqWHuyLn/8z1b2F1iQ1AZXGsOhqlhsSoP9lTWp8WqOq6nhvb7yGItm9KXaprBib16t867sGcnrdwys85pWh0JmuZVrRyYxqEclliobXSL8GdsjgvhQ75qCI4x6vnt0JPd8sofj2SYcDgV/Px0J0YH4G3R0ig9i39Zd5Jw4hV4rM2pQZ26cNJhXtpv4+Z+/0rVDCLIsuWU6OpBn5q/LjzJ/YhcCGhhpLAjNRbzzzoNDUfk+NYv3Zw9jYMfQs+ahOf/bKz6IT/44nCe/2MOH91/WauU0asBcWolfoOH03MAzX0AGoIu/ljuu7uJVCjahtiq7w9XvGBAUiLm0vMFzNpwwodbK9FqbLEFkoC+dIvwoKLc0arBPDQl4c9VxVj0xmtyyal5efoTskmqig315ZGJXYkPrbmnIKqvmtd8yKLc4ziqpREphFb0qbWw4lMFnmzPILqkiNMCHm4fGM31YIoF11FyzTFaMgb70D6w95zMiPpoevqMI71tJUoiB3JIK/rGpBJPZypguzqXNzn1vSpKE1a7y9pZM/lRHE7MgtAQROM/D8bxyRnaNZEhy3WnLtBqZ0AAfBrVSbRPgYLaJm17djNXmQNbIxEYGYNBrsdod5ORX8PyNvbhRzN28INEBeg7lO/PDDr5yGD8s+crj8drAYK+CpkaW0MgSL/++P3ll1Ww6vbRXY6nAiYIKskuriQsx8I/p/Ro8p8rm4NVfM6i0OlzXqGFTVP6zLYuNKaeoqLShAsUVVhZ+f4i3Vh/nzlEdGdwphGHJYa6Hyap6kmuYK61s35tLlcU5NiA7/0xaP6O/D34eMgZJksTxoiqsdqXJ1kwVhMYQ77rzYKq2c92gOOyO+lILgEaWmTqo9QLTC98ewGpTcKjO+XIns00cSivmRGYZVRY7z369n2qrGBR0IUYmBbtqgpEJ0UR1iKv/YEkiuEfdgUsCVyJ4jSQxoXcU3zw8kqHJYVzdL4bBHUM8jnBtSH3rgNZla0YZZquj/qQZKiTFBbkFVFWFkgobLy0/wsw3tjL27+tITS8BIDKg9hJmDofCtj05VJ8eDVyTTahGeYWVUpPngVOSJHG0UKycIrQOETgbqaTCytEcM91ijB4HRwCE+LdOns3skip+O1qEw8NEuvJqO7/sy23BUrU/0YF6pvQIB5zBL7jvEAwx8c4RNGeRfQ2ED7kcraHuvkEV6BlnZNtz49m3cCJvzBpEzzhnQgCdRuaD+y5jeJfwWufZqyopP3GYop1bKN61lYqMEyjn9LUGGXTEesgne649OWeam6uqbRxKK+a3nVn8tjOLw2nFWKx2osL8PV7jVHElt76xhUPZJsL9fega7ucW+LMLKqi2Ojz276Zn1z2S+GzPfnewwWMEoTmIwNkImUVVWOww7bJEkqOMHo9V1MZNQm9KOaX1T1yvoZEljwm2Be9M7h7BHYNj0akKZeUWgrr1wdilJ5L2zEOTUl2F6egB7JX1J6TQyDIRRj2+PrWX0XIoqqsGV6MqL4vCbRuoyDiBrawEa2kx5ScOU7B1HdayM8dO7BvdqOZM2+lMP7mFFazbnsmJzFLKyi2UlVs4nlnKuu2ZFJbUnzEInIOU7A6V135xzlP9Xf9o9FqZ8goLR9KLOZZR4vF8gPyi+v+tVFVFVVWyiqtd8z8FoSWJwOmlgnILEUEGgvy8r0UG6FtnLUFv1nZUFNWVcUa4MJclBHF5vLOGWJGZRvmR/ajnzOm0lhRTlLoJe1XtgCBLMKpbRL3X/zYly61Z3VZeRtnBPXUmclUdDkr2bHfVPKcOrDuXbH06hPhSWWVj58G8OjP/qCrsOVzQ4HUcisqKPXlUWuwE6DRkZ5SwMSWL45mlVFXXXnCg1vkO1S2T0tkkSaK4yISPTuZQbsM1U0FoaiJwekFVQUV2TTdpiKKoyJJzonhr2OLFYBJZlpjUV6x12FT0Og2K1Ur5icP1HKGi2h2Y09yzBUmATiszY3hivdc+kGVyexiqOJVeqznY7U4OB1W5p9BI0L2OHLCeXN4xhPTsMo/zZLxtSHGoKuXVduZ+mMq200ueeZu0XQXMp7Nf1QTQmrVGD2zbw5Z9+USE+LH+sOel1AShOYhRtV7ILK4kMsi7uWuKqqLVSOhkj99tzWpZalaDxwT76RpVexY8u7xrONbCnAYig0p1QS6K3Yas1SFLzj7Md+4aTHRw/Ut0ndvUaikqaDACWYoLuOb6y91aFVRV5XBOOTml1YQG+NA3IajWg2C0UU91hdXr4OiJXiuTWVzJ+kMN11Dr8mtqFtHh/sRE+KPTylSYq9izbjMFaSdJumoSOq3MqTLvU0sKQlMRgdMLOSXVXgXO11ceISLAhztGJTV/oeqhqirpXqxh2JiUfELDgv19SA7RklKTEaE+qkrHEC1BIUGM7h7BjOGJxDSQyHxcz0j+++tJt2s0xEcj8eT1PV2/bztezDNf7+Ng9pnBPx3C/fjrdT2Y0Cfa7dymeG9oZIkbhsSz9kA+GllyS7vXIzaQQzkmr2qfuYUV5BScGT0rRSQQHtuZgT2jUYGCctFPL7Q88e3pBXs9AxC27TnB7Y//h9jLHyFi+IMs+tcn7N97xNWk1Bo2HS2iyup5wIR0Hk14QsMio4LxpiEzKSqY7x65nEev7tZg0ARn/2fX6ABXc60uKNjj8ZIkccfEvq7k7duOFzPzjS0cznFP0JBRWMn976fw4y73lHxDk0M99pPLEsQG+xJeTx+5RpYI9tPxwITOmKvtbi0vRl8to7pHIDc0n1VVUVXF9XpcP4YAZLuNTbvz0Os0lFSLKVVCyxOB0wtdowMoMFW7DVZY+uNWJt3zEj9v2EOVxYbdrmAqLOK1d5cx5/nPWi14/m9rZoNz/lQVbhvZwfNBQqMUmK0Ykzo0GDd9QsJZf6yMA1llXl9bliU+vG8oSeHOVg9jgueMObIkMWfGaMDZAvH01/vqHOWtnv55+qt92M6ak3z75UkoHlc2gXfvGcy258bz3I293JYXk4Aruofz7SMjiQk20CkywK22eXm3CG4emljvwJ8avhoHtuICqnMykCuKqZn5JUkSssEfLGb2HM0jOEjkWRZangicXogI9OXV5c5BH4qqkplbzNznPnEujVRHEoQl32zifytSWrqYAGSXVjU4DUaWYEyP+kdxCo2XVlxFQHAg3Qf3rv8gSSKgYxc0ssT3HhKv1yU62JefH7+CN2cN5Jar+tFncF/AOY2lhlYjI0kSbz8zk47xznmfh3PKOZRd7vE9UWS2svGsfshe8UE8c2Ov09c/8xSmkSUk4LmbetMzztk/+vvLk9j09JV89dAI/nv/UH7925W8f+9lrny20wbH4XPWfGc/Hy3xoX788aoudZZFI4Fis1KtaPEJi0IfnUBFhYW8bb+hq3Y+bKiKgqqoFJdaXRmKBKEliT5OL8WHGnjooxTmXduTj77ZhKeqhSxLvPHZem6ZNBhTlY3vUrI4kmvGz0fDxL7RDOgQ3Gz5YYPqyBd6Lr1WFvlpm1jNP2f/scPJyKug8lS6W1+krPclqHtffAKDkQBTlQ2HorL2QD5fbM3kVHEVkYF6brosnol9o9HVkVxDp5GZ1DfGORp6Zn9W/Lqf1z9dx9Y9J9BoNEwY0YMHbruSwb3OtCY0tHTZucdtPV7Eu2tPsOFQARLOKVUOFXy1MiO7hnPHFUkM6BDidq5WIzMwKaSOq0KgQccLt/ThsU93I0lwPN/ZXznnqi6EG/W8teoYeaezBEmAQ8VtDqwkSfiGR+ETFEJW6mY6jRhOuaQ/fTSu7EOC0JJE4PTS3WM60e+vK1i9Pw/r4d0eF+lVFJWdBzP4YWc2j322G4tNcT25v7P2BEOTQ3n7rsHNMqrV34u5oxa7gsXuQK9tnXmm7VGXcD8kwFevI6RLDwISO2EpKkCx2wkPDyYkOop8kwW74pyfGBdi4O53t7P+UIFr8MzhHFh/qIC+CUH89w9D60yafraJl/di4uWel67zdq7utwcK+HpfPqmH3AfzlFfbUVSYPDSBhb/rc14PXDcOiSfcqOfVFUdITS/heJ6ZpAg/pg/vwM1DEzmcYyKnpJK5H6YAdSR2l2VkHz3+iZ3IO3iIUdMmsGvXCRTAViEGBwktTwROLwX4avnXzP48/PEuzN6spSjLPPjfnaA666b2swLt1uPFTHvpVyb0da7hOapbBEOTQ5ukFphd0nANQ1GhqNzaqFRsbVGOycLa48Xsyi7H5lCIC/JlTKcQ/BUbX/52DF+dhhljuhEf4Xkg1LHMIp55ezmrN+7BLySIQaMHE9UhDq1WQ8dQA2OTQ+kdHeDx7xNs0DEoPpCULBMJ0UZOZqvcNGkI943rTJdoZ5ap0gorn20+yX/WHiejqJKNpxMJ1ASpmrfI/iwTjy/dw1uzBl3wv1HfhCASw/zILKqst41Eq5EwGLRsTMlyK8/ZZfpiayajuoVzzYAzCRVsdoXiCht2RcVXJxPir6t3oenR3SMY3T2CIrMFq11Fc/o4jSzRMy6IXw8XoKr1T+GSJAm/mATyjh0k1Kijd+8E0rPKCYkIatw/iCA0ARE4G2HqoDjiQg3csyCfw0X59R6n1ciEx8WiQL3JstMKK3l7zQk0Eryx6jg94wJ59+7BFxzMKutZjeJcNg8J6i8GB/LMvLk583RyCqe04ipOFFXiY7UT7h9EhUPh92/voLq0mJ+fnkKw0f3fVlFU/vLRZn7ddZQu/XtwTa9e6PQ+qIqKIslYHSpHCis5XFDJ+C6hTOsd5bFM0/tHU1RpozoxhGv6RDNnfBe3QTbB/j7MvrIz0wbHc+3iDfX2OzoUlV/25HKquNLrtS/rI0kS/ze1B/e/X3+fe7eOoWTle57CJEuwZEMa1wyIRVVVThZWkVvmPt9TK0skR/oRGlB/TTkswDmQSFHBrjhT/GlkiZ92N9znK8kyGl8/bFYbcdHBxEQ6H4iyyqqIE4OEhBYkBgc10uCOofz68q1EhATUO2RfUVQqg2O9ylV7OjUoh3PKufWNLRe8YknXBnLo1gj2u3jT7VXZHLy9JRNFde9pDpDhoREdWHhTXx65uhuPXdOTn/9yJc/NGs3YZ5ZjPeuhwmpXePKb/ZQHBDJg9GUEBBmdQVMF+az+xZpuylVHi9mX63k1DoNOwyOjOvDw6CTmjHcOfjl38IpGlogK8mVaA0u6qcCWY02TFcfPR0uv+MBaE0C0GolencPoEBtEWbkFgOBAPd07hdK7czhJsYHoTs/pVFTYf8qZ3i69sIqcstpJEuyKyuHcCsoqbTRElsBHA5Ji4+p/buBwtsmrFhedMQidwRl8NRpnV8MJkXNZaGEicJ6HAD89P771AKFBda8Soagq5ccOoijeB0GHonKysLLWnLrGuvGyhpcy6xZjvKizBm1KL+XclbLC9Rr+NLYzcadr7BpZdj3YDO8cxjtzx/LXj36j0GxhR1oZW4+XYJI1yBoNpeUWUg/ksfzXNJb/msbarRmcOFXq1mQpS7DueMOpDDWyRLeIgAaPmzGi4elANbdfsSeH+9/fwb3/2cEXWzIaNdVp8U+H+f1bWzmYXe4KdDXxKTEmkBKThW17crBY7AztG8OI/nEkxQYRH22kR3IYVw5LJDbS+Xp0GhmrXSG3gWw9GUXeDUgCOJpbRm5xJRov81P6BIdQUeVwC7IdQ+rPuiQIzeGCAufChQuRJImHH37Yte2dd95hzJgxBAYGIkkSpaWlDV4nKSnJfZLz6Z85c+a4jhkzZkyt/ffff/+FFP+C9Okax9vPzKx3v81UStGOTY26pizB9zuzL6hcI7qE0TOudu3ibH+a3O2C7tHaUrKcNZ/EYF9uHRDL38Z35tGxyQT4autc6k2rkemTEExIXAw7T5ZjtSvsyjOjAnmFFWzemUVeYYWrdlllsXPoRDHb9+ZgtTsffhTV2RTsjYbimiRJdGhgaS6AMH8f+v11BfcvSWXF3jxW7c9j3ud76TlvOVuOFtY63qGoWB0KB45n86cXv2Tw9H/w/OLPqMzKwGY9UwusKd+JU2Vk55spLK2iV5dwQoKcAUiWJWTZ+RmTJYl+3SIIDzYwICmYInPDtUmzxYHF5l1XwB8/2Ue11UFYoHfBTx8eheN0N0PNA0R88IU1ZwtCY513H+f27dt5++236du3r9v2yspKJk2axKRJk3jiiSe8vpbDcaZ2tm/fPq666ipuvvlmt+PuvfdennvuOdfvfn6t+4H506IvPe53VJqpLi7AN9S7OZOK6pymcCEkSWLJvUP4/VtbOZJrRpac161pMXzq+p5c1UBfXVuXXWZhfOcwru4R6XXifbtDYUBsID8eLcChOvuebXaFXYfy6x00U1xWzbG0Ynp2cf79vJ4yKNFgIgSbQ0EjnWmqP5tGlhiYFMwfP0zFWsci1NU2hZlvbmX1E2NIivDnUH4FK48Ucqigkr2bdrJ91SZkWXYtuWUtKcR88hih/S5D61+7Nhxs1BNWTwYjSZJQVJXkxGAqTFXYHYo3Lw+7oqD34rm85jqeRqnDmSCp8dHjf7qbQZIkuoaJvk2h5Z1X4DSbzcycOZN3332X+fPnu+2rqX2uW7fO6+tFRLgHloULF5KcnMzo0aPdtvv5+REd7Z5Xs7WUlVeRdqrhPqiK9ONeB06NLNEluuFmvrpY7A5W7Mll67FiVOC+K5Mx+GhYtS+PSquDLtEB/G5Yoqsp82K1O9vE8A4hXN0jEsDrkchajUyArw7bWd/P2fnmBr+wswoq6J4chlYj09vLv41GosH+ba1GontsIAdO157PbkaNCzEQE+zL9hP1r1upqPC3L/cxe1JXPtuViyxBxuE0tq9ytnKcu06lYrVSvGc7EUNHI8nuAS0q3N+5ok89TwayJBEWbGDlgTwUVfUqAby3a4DWjMItPd3HWp+av7OPVsagP/O1lebFKHJBaGrnFTjnzJnDlClTGD9+fK3AeaGsVisff/wxjz76aK0vxU8++YSPP/6Y6Ohorr32Wp566ql6a50WiwWL5cyH0WRq2nX7th/yri9SsXm/eoNDUZkxvPGp8PafKmPWO9spKLegPf3l99nmDMKNPiy59zJ6J7SPIfuqqvJreimzhiR4XdOsYXcoFJjdv5xNZgsN5WS32RUqq+0Y/XwY2znUq3vJUsOVToNO5ssHR/Dl9lN8tjmDnJIqwox6bhmawO+GJTB6/toG77PleBGBu3IBZyDdu2knkiTV0weqoliq8ako4qYJg/HXa0grqGD9wXy0XvYvyrKERsbVilGfUH9tnQkc6vL2bX343Zs7qKi2ozocIHtOznHug45NUSkwVxMRIPo5hZbT6MC5dOlSUlNT2b59e3OUh2+//ZbS0lLuvPNOt+233norHTp0IDY2lj179jBv3jwOHz7M119/Xed1FixYwLPPPtssZcworORPXx706tjEqEC8HfOXEGpgR1ox8aEGV4LuhhSWW7j1jS2YTy8OfPZ80WKzlZlvbmHVE2Pc8olerIoqbXSPCEDC+5pmDa1GZuc5Sc69TdemlWVu7hdFohcJ2cFZa/TRgNVRd/D00TiDj6+PhttGdqgzb3CVF6OrHYqKqcKCooCvj0xepueHOVmWGBWj5cnre51e/k6msNzC08sONLgEns3mQANEGPX4aDUcz6/7Xa2RJRIb0XzaMyEUf51EcW4RGl9/tL6eA2BNjlub3YFOq0FVVd7fns28sZ28vqcgXKhGDQ7KzMzkoYce4pNPPsG3gTf4+Xrvvfe4+uqriY11X7l+9uzZTJw4kT59+jBz5kw++ugjvvnmG44fP17ndZ544gnKyspcP5mZmU1WxoXfH6TCLiH7NvwFkZ1dwHXJPnjzAJ5ZXMWCZQcZ9sxq3llb9+s619ItGZhPZ3c5l6KCudrOZ5szvLpWW1dlU+gVbTyvRBHf786m5JxgFB3m1+BAHp1WIiHMj+hGPnjUBE8fjbPpViOBTga9xru+0mD/hkc9qypsTMnit51ZrNlyssHjJSQcioIsS65BVKH+Piy8sbczUUc9/xjO/Mzl3DAkHr1OQ2Sgnq7Rfvjq3N/UwX5a+sQHYPDxLiOVoih0+fPP5Jms6IPDGgyaAP4GHdl55eQXVTpbHVTILRdrcgotq1GBMyUlhfz8fAYOHIhWq0Wr1bJ+/XpeffVVtFqt2wCf83Hy5ElWrVrFPffc0+CxQ4cOBeDYsWN17tfr9QQGBrr9NIVis5UVe3NxKCpB3fs0eLzVZmfJhz8wKtHQ0EJKgDPYORSVBcsO8cWWDFIPZPC/FSms3HQAi9V94JCqqny57ZTHZjNFhZ8ucIpLWxFi0HIgr5x9ueUe+ybPDgBFZgsfbj7JupOltY6LCTUQ4KfzWNuy2VWGxgeiO49k4pLE6cWqnT+aRixuPtOL6Spn/wuokozG4HmkrqIqDOrlfl1ZljD4aBgW7/x8nLsqiqqqmCuslJdV8eDEM4nZwwJ86J9opF+CkV5xAQxMCqRHrPdBE6DrYz/jUBrX5K6qKrsOF7haC+ID9UhNsuy2IHivUU2148aNY+/evW7bZs2aRffu3Zk3b55rQvL5WrJkCZGRkUyZMqXBY3ft2gVATEzMBd2zsbJLzqw+og8OI7jPIEr3pdbbUaaefpLfvnU3alRXr+9jNZVy37y3qD7dN9u9UzR/mDGWSZf3Jio8EEmCP328k5OFlQ1eq7IdJMK22VU+Ts1hb66Z2EA9PaMC6uznVE8PXvlxXw7l1Q6ign05UW6pM2JZVYnhvaNZvzMLq62e0aKqyqb9OVzVreGHpKb0x3HJfLLpJHllngfNnM0/IQnTkf117pMlCYOvjt9NvqzWPq0sc8ugeJas20BctJGg01NDrDYHp3LL6R5m4J8PjqjV3C9JEn5e5Eauy79+OoCn5FXn/m1rfq+ocq7vWTMKOK/ATJ+OdSeYF4Tm0qjAaTQa6d3bfdkkf39/wsLCXNtzc3PJzc111QT37t2L0WgkMTGR0FDn4Ipx48Yxbdo05s6d67qOoigsWbKEO+64A63WvVjHjx/n008/ZfLkyYSFhbFnzx4eeeQRrrjiilrTYZrbuYkDfMMi0YdFYinMq/ccu0Mh/ehJIrwMnJbSIirSj2OvtoAko9X7EN8picuH9CAiLJBfU47xzepUCkoq8CmopsoYiaaeZmONLNEj7uJftHrN8SL2ns7ck22ysHRXNtP7x8I5X7CS5Fz66preMSiqysmSKn48WFDPVUHnqyM6zI/C4koUFRQFbIpy5jlIkli+7QTP3tSy7zONRmbtX8dwx9vb2X6i4cQLAIaYBKylxVTn57gNEnI2zWr46MV7CQyov3vhrpEdmDooFq1G4nh+Baqi0iHcv1mSZbyxOs3jfrcHIoeNilMn8U9MRpIkEqKN+Og0HM8oxU+C20d5Xp9UEJpak+eqfeutt9wG5VxxxRWAszZZM+Dn+PHjFBa6T+BetWoVGRkZ3HXXXbWu6ePjw6pVq3j55ZepqKggISGBG2+8kSeffLKpiw/glv/UORDlzL6EMD/6JASxN/PMQsSqF03U3jZjOyzVlB3cg2I5M8zeXl3NqlVbGL5pD327xLFj91G0GtlVu1KUAwR07EpAh+Ta11PUi37RaodDZcM5UzNSTpk4WVLNHYPjiDHq66x5Aiw/VIDVasfHx/lWr6lV1vz3ZFYZGacDcoCvlu6JQdgcCvtOluA43VqQlVdMRaUFo3/LDrAy+Gj54oHhlFZaWb4rh1d+OUZuWf3TLyRJIqhHPwwRUUjF2ZTkF4Ek07tPF97+yzS6d/LcOnPbyA6u93qf+OYdia00IlVyUkIYQYkGUg4VEtshluSEEA4cLyI9q4wBncOI9HIFGEFoKpLamPxdFzGTyURQUBBlZWX19ncqKtgdtROza2Xnj6o6jzmaZ+b1X46y9oBzjmT58UNUZKbjaQKC1t9I+JDLPZbRWlaC6fgh7Kayuq8lSWj9jdjNdU+tCereB0O0e8q920Ym8tyNvS/q9TdLq+z83/Kjde6TJZjWO5phHYIB599II0tUWh18vjuHvTkm9u4+wct3jeTL/QVY7Arh/j7EBOrpG23kj6+uoUqj59nfDWB8z0jXNIrSKhufbsng1R8PYjq8ly1v3kXXpNZLHHEi38y4Beu9OjY0wIcJfaL5cmsmdkUl0KBl49+u8ji3siZ3bEtJfvRHr3I5g7PGfOVlCWRn5pFtUikzW10tApOHJ/LUxC5EB9UeWOTNZ14QzodYHeU0VT09fUBV2XKsiJ93ZVNWZSMpwp8bhySQFOHv+qAnhvuzeOYAKi12Xl1xhPeqKqjI9Nz05BfvudZnLS2i9PA+lCoPfZaqit1sQvLxQbXWHkloTj+Ob1ScK0hOHRh70QdN8DxtRFHhq725rDpaSJ8YI0YfDTnlFvbklKOokJFTTgfMDOoQwoDEYPbnmnltfRqZRZWUVdjoEAjz7xtNXLDBLWl/kK+WP45NJj7Ulztm/4LBt3VrNd4kTgdnTXrG8ETyyqpdj16mKjsLlx3gbzf0RlFVt6W/avoOdS2ctbpTpIFjed5N1FIUFVOFlQ6dYjmxNcMVNGMj/Mktqcbu5YpAgtBUROA8zaZAeZWN29/awqHsMzU6VVF49YtNDIzy4YoekUwc1cfV5OWn1/KX63qiqCpvFRVQfqzuuZ368MhaNcGz/X975x0eR3X14Xdm+0q76l2WLMu9d7lgY7BxoYMDwZhmCAnBdJI4JCG0UD4IkELoNaGYDgaMwRT33rtsy5atavVetsz9/li1tVarlS253vd5BN6Z2Zk7V9o9c84953eEEJSn70BnNPk3nA3ojGZcPgynu64Gd201eqtH4eamiSmnvdEECDboiLAaKPZjPMrrXKw4WEqizcjmQ2XU1DnJyq/kyK7d/Py0R7pRVRR0msbitZ7SpEXAny8fTGKYpVUfycZ5u3RIAudPGUNIaPvasl1JfJglIKk7q0nHDeOTWbA5t6nmEeCD1Ycoq3Fw17TedG8QoXdrAr3qyfg90X8m39x/Ln3+sCjg4xtvJTLcSnZ+JVazniF9o1mxKYf3ftrFvKtHddFIJZLWSMNJcwj2xqOMpqO8lLKdm9Ec9fy0U+Hnn+DhFxYw9ZwBvPrYTYQ0JFrcNa0PH689jN5iperwAZzlnvU4ndmCNbE71vgkvwbMWVGGu7YG1XD8Xo1oSFW0mfUMSTo5ikFCCCrr3NQ63KiKQmgHlGR8oaoeQXd/hrMRzaWxfkc+qdHBHNmymXfmXUS/1Oa1vR93FqBTlaZylouGJaLg8eg+35DF5sxSVEVhTM8ILh6egNmg41fXTEI9yY2EYkLMTOwXxYr0ojZLcRQF5s8dS3SImStHJvL013twthDD/XZrHt9uzaNnTDA2s56LhsZxy6STIxxgNOi4ckQMn21sO6muEUWBkIaMXlVRsJr1jB0aT0ZWGRVV9ew8HFjylETSWUjD2cCGA8XsbmE0XdVVlGxd15zF0EKjc/HKXfzynpf49rV7URSFYLOeiX2j+d6pYYqIRrjdCKGh6PQBeXzuBi/TVVtNuxpwDWPziaqis3iM+aMzB5wUb7OqzsW+IzXUteiOoQAxIUaSI1t7doESaTWgVxUvZSRfXD08gdkjEygpr6bkolSmDPb29OtdWpN3pSgQZjWyMr2QO9/ZSJ3TDQ1yeYu25fH8t+m8cssoEiKCCTaf/I/KXy7rxxXPr6LW6fZpPJ+7dkiTvGJ4sJGnZw3hvve2oOItJn+goIph3cMCqhXtSp65dgRVzo18v+0IzSlbrUmIDsZo8CzARoRaSIwJZveBEnILPJ8D+ynwu5GcXch+nA288pO3Uk/V4QNtCnIKIVi79QCLlu9oeh0W1Owtms1GeqVEMWl0ElPHdWfiyERSEkPa1ARVDZ50f+F0YrCHtj9Y4SslUcESk4CqN/D7C/tw+cj2+3J2NrUONztzqryMJni+EvPLHWQUtB+GbosZfSPp3k7fxW4hJrqFW4kJsfDe2lzm/m8bBwq8HzL6xdtxNVgRISA9r4Lb395AncuNoDn6AFBZ5+RXr6+jsB0B8hNFzxgbn987jnN6R3qZmF4xwbx2y8hWv/PLRyTw/u1jGNfi+Gi7iXtn9Obd29Iwn8hsIB+oqsLLN42gb4SBtoxmSLCJfqmRaJqgstrBzv2FrNqS22Q0EYKbpvY/cYOWSJAeJ+DxPI6UNScqCCGoK8ijvRWlR//zJTMmDkJRFHJLPe+PjbQypE90U0KLoigE6Qz0TQmnW6yNNVtzcRxlWIyhEegNBlxOJ86KMk/mbHVlq+v5Q2exMjhtOK/fNoaeMbYOvbezyC6p85spWVTpJCHUfUxF8zkVDmYNjefN9dnkVDQbssZ1v3CLnim9oti86xAPvbKIPSIcncnK60sO8MTVzTWYFwyMISLYSEm1JzPz2YXpuDXh08nXhEc84ttN2Vw0ILAON11Nzxgbb/9mNHlltWSX1BJqNdAzJrjN6MKYnhGM6RlBncONw60RbNIHrNF7IlAUhW//MpVf/P1HShUTBcU1OFxuzCY9SXF2EmKCUVBwuTU27Tri9dkRQlBXXEBs5JnRxEBy+iANZwPhwUZoXG4RWhtenTf7MguorK5DU3XYooO5IMLapAF6dFE+gNVsYGCvKDbt8l7X0Rt0DBo9lM0r13syZztgNBW9AWt8EuE9Uvn43glEBdgQuLPRhAioyXFhpYNkU/savz/syGd7VjlxoRZ+MSqRKoeb6GATDrdGzwgLJTVOHG6B2aBjcGwwe4tqeGtDNreOTmT5Ko+6lSkims8NipfhNOpV/nn9MK5/aS0Aq/cW+pXv0wRs9yHXd7KJC7UQF6DoPHgE5c2cXA/TH2/deS5/XLiPvj0iAG/ZxOoaJxt35VNd6wIaHnIajKZeuIgIPv0bGEhOL6ThbGDW2CTWZpR4lGhUHarB2G5LMLemkZldxD6HDoGnA4e/dUVVVYiJsGIPNlDRwsi4NagIiiG4Rx+qDu5td42zEXNsAiF9BhFqNfDpPeNOmtEET4ZmIKN2+urc3IJP1mXx1093enUH+etnO/nNlF6M7xtFYbWTwmrP3OlVhWqHm58yPMkhqgJLWqjs1BcXkL91M3Ch1zVsNhOpSaEobo1DBdWg+S9n0J1CHtqZinbU33zLz1FwkJFzhieSV1hFdlYRuYfz0VmCMIVGkBRKh/RxJZLOQK5xNjB1UCwhFj06VUFoGtaEpIDeZzTq2VdU45F6CyDxRVEU4iKDj9oGNU43Q8cNxWAMXN4s1Grg4SsHsPbRKaRGn5zwbCM6VQmo64dJ3/ZB7/y0j9+9v6WVtq7T6eaFRem8v/qw1zVcRxlrTeD5XbRo1FxXkEdltbfazpFKB+f2jqJPz0hCbCa/4vs6VWF0amB9OCXHjs2kJ9RPko9Op5IYa8cUHIQ5KhZDUBChrmJikuLbfI9E0lVIj7MBl6bx2ym9KM7J4Z/f7MISn0RdQT6umjYyWIFuseFERYdRuKO0zWN80TIyqG8ojQixmTA7K3HWB94i6fe/GMlNE08NnU5VUYiyGTlS4aCu3sGqDensyCxEMZoY1L8Ho3tFYTXqibL7Lrl57ePlPLTwIMaQsNYPIIpnJfO7jdmcn5aE2k5pi6oqXgLi/3p/KfbkHizYlEtVnYsIm4khvaMQArrH2yksaTtp6Vibi58qNMoyHms284lCVRTO6xnO5zsKfO7XhMDp1DhSVI0RJykRKj0GjEVfF2i3W4mk85CGswGzXs8vRidRURnO4//4iIr09gOP986ZytIDpR1qaiQaehs20lhekRRnpzo38J6hRoOe2RendeDKXU9CmImXP1rGq+9+T32LB4AvDAbC+wxk7lXjGZPaOpHj6yXbuOfZL4kee56fsys4XBr5xTXERwe3eZRBc+F2eYdeX1mSiSGmuWdpQUUdUfF2rGYDkWEWuifYyczxLWN4/4V96Zdw+iWfHCiu4Yd9xezIr8ItIN5u4rzUcMYkh5yyRvS81HAOltSyJbfSS+xBNIhHF5ZWc15aN0xGA5omqKt38Y/LT2zXGokEpOFsQqcqBJn1BJlDuebC0cxfuK5Vb8KW3HvTVHoM6ceCXZ4nZEe9g8xd+6kqr8IcZCGlf08sQd7JG0J4UurrfLT5sgcbUUIDD7f+7//mEGILPDnkRHD3C9/yzn89ajDBQWamnTuMQf26IxBs3XmQ179ci82i47bJqRTXODlYXEuwUcdTb3yPPoCm4KoC9Q7/LdLWL1nfapvbYEbX4lepCbyynvv1iCDMbuZgdjllDaUnEaFmRvSK4lfnpQbUR/VUYt3hcv67MRdFaY5u5FXU897mPJZklGDWq7iEIDnMwoSUMOLtp0ZyjU5VuGV0ApuyK1h6oJS8ynqEENQ4BIoC8ZHBTVUrTqeLP0zqjt0qBd4lJx5pOFvQqNv593m/pLismu9W7ECvU3G5tSZdgt4pcdx04yXUBgc3Gc3d67ezbvEq3C4XiqoiNI21361g0LhhjDgvDdHwRV1R7WBtG02l3W5BbHI8VlsQNZXVbY7RbNKz+PV7GDmwe1dMwTGTUVDJ+x/+BMCwgT147A+zMZuMNPoNE9MGUOdw8cGK3dxRVo9O35zQMeiyGSgbd5PdduMPwBOum9Qzgqx6d8Nrz/ZG7yT/wGE2r9zs9R7VZMYQGtHqXBWV9RjDdKiqZ206LiqYuKhgr1Zcoxs6hByH6FGXoglwac3zoFOgxuHkf5tym2pSG2n8Z8tSnqyyOpYdKGXmoGjO79l6jpreKwQbdh7inS9WcyinmMhwG9fMGMkF4/qhqp07OaqiMLJbCCO7NXv5NQ438zdlszOvEhWY0DOEiwbEouvka0skgSINZwOqCqqmoAmBxWzkg+d+w5qtB/jo23UUl1aRGBvOtZeMIb1UY29eBZVVDoQQ7N+WzupvlzWdRzQoDQlNY9uKjThdguShg8g+UklRadvrMflF1YTawxl34bn88OHC1gcooCgqX7xwByMGdO/s2z9uXvl6I856BzFRoTzxx+sxGHQNXl2zv6bqVKK6xVJW5+01qjqVQaP6U7LuMDX1bWe4CrdG0d693HHt+Sw7UMLO/CpcmkZVSTmbVmxi/9Y9HN3sx97bt8h9Zm4F0RGt9WcbjxUCxnUPQ68SUNLTicaleX5a4hZg1OsZEmdnc67v0HNLGg3up9sLiLV5moMfjdutMfex93nnyzVND5E6ncr8hesZPzyVz//1W2xBXZvNbTXquHnM6bvOLDnzkIazBXoVnFpzCG/s0FTGDvX0uGz8Qu7jFujURDQhWLSngA//scbvOXev20KxPhxV7z9bNutIJb27h9Gtd3emXnsxa79fSXlRc9JRRGwUE2ZMYNSQVBxuTwuoU2mpKq/Q80V92bQ09HrVpydysKyO8nq3T0OmKAoDe0ezbrtvjxyg6lAGr2wvY0mJmUuHJzAo1EJJtYM3V+0ic/s+LxdL0esJ7TsYU4Rv4YKi0loOZpeTclTfyUbvdWxcEFFmBT+duE4ajZ5mW8waFs/hstqAtH3B82Dww75in4bzmTe/579fev7GXQ0ZV+6G/6/ZcoDfPPwu7z/zqw7egURyeiMNZwsaQ3JOH19KjV/2hoZyChWFGK3Wb1gVAE2jvrgQS4z/tHmtQb1GURQSeyaTkJpEyZFiykrKyMsuQigKOQUVbMspY2hiGA43mE6h315MdCgA54zuj07nu65ub4n/uQoPMftM1BFCoLmcVB/OIGzQSAor6nljyYHmA+yxxE6Ipb68FK2mGp01GEtYGCaD6teD3X2gGJfDxZgBsRTXeoxMlNXIvk3b+XFDGdeNuan9G+8g6XmV5JfVEmkz0T/Bfkx6wv6MptKwpjCuexhf7fKdoXo0moC9hTVNSxWN1Duc/PN/P7aZ/ObWBF/8uIVDucUkx7cd6pVIzjROoa/eUwNdQ2hO4BEmqHG4MRl8G4KyisC0V6uzDrZrOIMsBvQt3BshBBtXbyd7x24vT+r8b3/mzl9dwiO/muJJcjlFvM7rpg7mzTe+wqBvuxi9xuFfjUlVFWIjg1oZTkVR0BmMXPWLKSwvMhy1DyLsZiJDzOzPUXCFhGHSq1wxMoHfTknl5lfXk1lU06Y6UEyQkcqKOmKseuJCLRwor2f7xl0sfvXOAO88MNZllPDI5zvZ1eLeekQH8edL+3H+gI41yG6vAbROVUiNsHbonILWMuubdmVRVtlOuYeA71fu4tarJnToehLJ6Yw0nD5QGjpkHCqpJi6s7T6MKYmRAZ3PVVVB1eEDBCe13cLp6LW57z/9idzd6a2Pc7v51ytfYDHq+ctNk47LcBaWVPLBwvUcyC4izGblF9OGM6DnsRWUD44P4bKrL2DP/mwiwm3ofXidRr2Cy+lP3k7g8GNchw7vz/Lv93ltEwL+duUApg2OxenWqKpzEWxubmP2+q9GMes/azhSXoemadQeyaU29zAR/Qdz3rl9MZsMOBSFI05BfkE1Qgg+/edtRId3nqDE2oxirntxbSt1nIMF1fzqjQ28PGcEUwfFdtr1OoqCp23b0WUqTpf/DGbwPNQ4ZCNpyVnGKbiCc+rQXleMnskxpA0JrJ9h9eEDfvdX1Tipq3d5SlYqa3wazZb8/eUvWhnbjvDS/KX0mPZnHnjuc978dCXPvPU9I696gtl/eIO6+vbXxoTweOROt+dHEwr/uW0yOzPzfRpNgNQwa5ulHY2lPzkFvnV6VQU2Hmxe822UwfvN+T2Y3D+K71fu4qUPlvD5d+spKWsWregeFcR38ybyx4t749q3lYr07cSMGM30CwZhMRtbaQqrqsrz645QWt05HVGEEPz1kx1oQrTyFEXDfx78ZIdfvdyjae9hSQjB4YZEtECeqwRwfs/W6kgDesY3aS+3hSYEIwYEprIlkZwpSI/TD/7qOBt55g9XM3H2U+0eJ1zOVmtIR5ORVcaAnpFsWLKh3fO5nS4+X7qTq88f2O6xR/PJ95u47/8+bnqttRAM+OLHLZiMet78241tvl8T4HB7vqDLa5yUVjvQqQpWk46JE4aydlcWaf274W7IwARPQkmfCCvbckoRqg5VpyKEIPtIFZnZ5VTWtK2YpFMVzu8fQ3yYmYOFVTjdGkOSQrlxQndEZSl9L36InCNlqKqCpgnuevxDZs4YxXPzriLCZsZuMZC3J53S/CPYU1K5YEKvdtcWn1qSyf9d1CfQKW2T3bkV7MkqpTY/m/rSYs88RURgjIpH6I0IoKCinpV7i5jYN7AOLHrVM/9toSgKE1JCsZl07GjIPDbpVTZke8LEjX/WakOd58SUUEYk2ludJyI0mKunj+TDRRuaEoJaotOp9O8RR9rgU0O9SiI5UUjD6YfB3ULYm1dBakywz5oxt6Zhtodgspipr22nCBFoyP5pc/eh3AqsFgMVxYFJ+G3ckdlhwymE4G8vfdNmv2xNE8xfuJ6//vYiuie0DkWLBqNZWevktZ8yWLgtl7gQCyFBRob0COeSQQnEhlp4+KVvSOmewIA+SSBg666DfPz1SnYdPMJ5M6cSERfFtr2F5BypOur83g8XOlUh0mbikSsHEBdm5uErBzTt27TrMOfd/p+mbM/GBx23pvHRN2v5ZnMON183g7un9uTlD5eiCcElV09p12gKIahqZz02UL5fs5fCNT8j3M2Wrra4EF3GXgadP5ESYcXh1MgtC1w6TlU8xrOtJCGDCjpVZXRSCKOTmrOGp/WJZElGCVtzK3FpgqRQM5NSwxkY23Zbsmd+P5PNuw+TfvCIV6hZp1MJtVn471NzTkrDdInkZCINpx+sJj0Pf7aDN3+dhhCaV9jK5dZwugUL9hQQGR9NTsZh/ydTVS/x8bbYnVFMvRZYBD0lvuPi4/sPF5CeecTvMYqi8OVPW7n7+smt9rkbelTe879N6FSFv14xCItRT055DZcPS2j6cp1zaRqTb3qGkvKaViHlBa9/TMqEidTq2q6jBI8BuGR4PCNSwth8qBS9PpwoW7PKzd9e/ga3JtqMDFTnZvPRsr0sXLufsspaFEXBGEAnDaWtp4oOkl9UwaN//8DLaOrMFoxhkSiKwq41m5ly1VS2H6omPKhjCjiN9aVuzduD1PmpO421mbhmaBzXDI0L+DrhIUEseed+XvloOa9/soLcwjJCbVauv3QMc6+dREJDNrUvyitref+bdfywejdut0ba4BRuvHws8X7eI5GcDkjD6YeSKgchFj2zXljF3dN6M7FfNKriCQcuTy/kvVUZaKpg2Lmj2jWclpiEgK9rjkumKrsdQ4xCmTE04HM2UuUnJNqIqipUt3GcW4OP13rG9tspvRFCkF5YxazR3TzvbTB8yQmR/PTOH3jkPwv48ofNuBuEIVSTGZPFTEW1E72t7dC1EBphZj2fb8zhsw05gMf7vGx4PI/+YiBOh4NFK3a2Y98UqvNz0KI9hiI41Bawd3T8ZhPe/HQl9Q7PerGi0xPSdxCmyOYMWkVR2Lq3mF6pMZwbYJi2JaoC6gnoqGUPtvD7m6fy+5unBvye9TsyufT2/1Be5fGkhYDFq3fz5GuLeOfJm7hiyrCuGq5E0uVIw+mDpbsL+HpLHhHBZvonhuLSyrj97Q2EWo1EBBvJzsond9cuHGXFACiqQkhkKOVFZT7PZwwKxtarf8DX1wcFY7CF4Kwsb/MYS3wiH67N5r4L+2LsQJV+cnxEkwJMW7hcGn16+C6REELw2fps7p7eF5dbY3thFREmPS631iqRJCk+gjcen8Mzf7iaLfvz+cVvn0err6O2vg6bte3wIHhUkkqPst1uTfDFxhwOF9fw5BW92ncKFdCcTlRLEKrJhKM2sISf40m6asnC5dubvOGwwSMx2ENa3bNL1XMwp4KyGicxIaduX0m3W2PfoQJcbjc9k6Ixm9oW9Cgpr+aS2/9DZXWd1+/IU6vs5vo/vsXq96MZ1Dvwh0mJ5FRCZtUexYKNORj0eh67agh3TO3FbZN78tqvRvPdvPOItpvYuecQmatXNBlNAKEJKorL0Rv0BNmb1VdMZiPnnjeSy667giBz+302TYbmX0fY0NHognx3ATFGRGPvNYCyGid5HVgbA7AFW7ly6oimpJ2jURSFiNAgLpk02Pd+BBajjhCrgWWHy9hZWE20zeg3+zI8JIhJw3ogWuZ4au2vIdqDTZw7qhtBlua50wRsOFjKttxajG3U1zYhBDqzBUVRCEpMob6uPiCjqCgKquv4SywaBelNEdEN7dJaz5GiqNQ73by57OBxX68rEELwwvs/0/vCBxk282+MuvpJkqc8wF/++SW1db6jEv/9cg2VVXU+Q+hCeDJ9X3j/5y4euUTSdUiPswWl1Q56xNrpHulZe2tpDOJCzbx5axp9L1zgc/1LCIHb5SY0KoxHH7+dwdG2pqxFVQGnW2P+6kMs2uZbUi48yEB5bXMZiKrTM/ySC7G6q9i7YTt1NbVY7DYie/WioKbZYBg6oEAuhGeN8pG7Lmflpv3kF5V7ZUvqVBVFgVcfvQGjwfefhk6nEBZkJKu8jtwqjwdX7XD79DhbUl3v8pq3uqJ8LLGJftd9YyKtmI160gbHsXRDFm53gwC7Agu25HPNhaN4/+t1bXvPioK5QXjCmtidWJtC9oFsuqV2a/Oa4Pldzh4W+DpgW4wd0oNdGXlYYuIRmub3XhdszOWBS/od9zU7m3ue/IhXP17uta2iqo7n//sDa7cd5JuX72j1t7Jo+Y5WNastcbk1Fi7b0SXjlUhOBNLjbMHGg6X0jLH5NAB6ncr6rftw1rWdPSuEICcjizidG11D143G/xv1Om6Y0IPz+7cOgZ7XL4pnZw/1ar7cv7udEKrRq3DuFZO54je/ZNo1Mxg5shfnDG8OcTmOwTNSTGb++NdbueF3c5h5+7WkTZtAaGQok9L6sPC1e7lg3IA236tXFWJDLexr0fx5W16lX6Ppcmt8syHTa1t19iHAd1hUAYwGlYRoG6qqYDLqSIhuFiTQhGe9c96tFxFmD2rTe7al9EZn9CQTRYdbOeeS8zAYde16nYqiEGo/fuHyW6+agKYJVKOp3cSwsgDWnk80a7cdbGU0G9E0wcpN+5t0bFtS72xfOMERwDESyamKNJwtiAqx+C1Ez8wuCii5JDe/pM19V6UlNRXvg6c65dx+0UzqF03/eBvC7cZ5OJ0l//uYH+Z/w48fLuTD599hyaff46jzeHj2YBM9GtouHSwMTPavkY3Z5Tyz5ABbC6pRTGZCIsMYkDaYK2+fzbBLp6LZQ3H4Wf8EGJUaTllds3ecU+1gZ065T8/PpWnUuzS+XLiqqQcmgLumitIdG0HTEEJ4GTOjUUfa4HgMLdZuYyObM3CHJYfy3HXDiY8J44e3f8cF4/p7/V70Zgv2PoMIaqHUVF5VT1WNk9hu8e3+DlUFMv10smlJcbWDL3YU8PiPB3h0cQbvb84jp9zzcDWodwLP/H4m7rqapq45bREfemr1VgV449OV/gUQFIXXPmltWEcPSmnzYQY8pSyjTrG2eBJJR5Ch2hYEmfReRu1o7MHmgNbIrJa2GwOHWI30jbezM9uT+COER90GYGhSCCu+/RFHWYlXWFMIwYGd+8g5kMWMGy4jLDqCHomhHMgqx2pqe50vv7KeA8W1KAr0jrRS7xZ8sLl1r8ZGSmpdfLQtn0XpRcw7rzuhFt/rspcOjWVNbiVNuaeKwv825zFzgItRKRG4NQ0hPF56YUU927NKuGPmaL770bvJtKOkiILVP2GNTcQWG0d8jwSiwqzERgV51c0qioJe19i1Bp6+dlhTQlRSfAQfPHcbeYVlHDhciNlsIKdOz7z5W72v5dRYuy2Pc0d18zLIbXG0/NzRaMLTz/Ln/cXsLqimqkGRoKDKwcrMMq4ZGsuElDDuuPY8lOBQ/v5zbpvnUhSYNe7UU9/Zl3nEbxKZEIIDWUWttt/6i3P493ttr2G63Rq3zzq3U8YokZwMpOFsQZBR9btWN3X8QAx6HU4/4dGoiBB69/Cv92o1eqZdVSDabuac3h6hgfysHBylxW2+r762ji9e+ZApv7yQbr27Y9KrDO8e1uq4slon72zIZW+RtzcaZgns111R7+Ifyw/x0AWpPr0zvU5lQkoYi/Y1j9UpBPN3FLBwTxEpoWZ0ikJeZT1ZZdW8cPVgDLoEXnvkeub+7QMcTjc6nUdJ3+VyYdM5mHxef0wW3+FRTRNUVHtCmWN7RZIY3lrAPC4qlLioUACGuDWeXLCLsqPaajmcbnILKkmOD2n1fq/rCegf7VujWBMeiUGBp4vO4fK6JqMJzWUs87fkkxhiJiXcwu2XDCW9TPD15rxWZS46VaFXTDCzxp56hjMsJKhJjakt7D56cfZMjubff/4ldz4+H53anMGtUxXcmuDO2ecxY0LHFa8kklMFGaptQbTd5Dc0FREWzG9nnedX//Pmayb77EXZkoKKOlTF40k9M2swOlVBE7BkxbaAxvnjx4uorqgmItjYKjmo1unm+WWH2FfUOoRbWusKuD6xsNrJwZK2w5VT+kQQ5MPZrXBpbC2qYVNhNTk1DuIMrqYxzr4kjQPfP84zv5vJjZeN5ZrLxnHxnJnMuOHyNo0meOpKDzc0Zu4TZ29X11WvU0mJ9p2RfKS4Bmc7ouQ9wi0khbUOnTaqJgmgsKqeF1cdoqCy7bXJn/Y3lCspCs/NHsodU3tiMzc/vOh1CpePiOfDO8cSdCr1iGvgqukj/BpNnaow66LRPvfdMvMcFr9xLzMmDMRiMmA06BgzpAcf/P1X/N/9V0q1Iclpzan3aT2J6FSFOqcbnU7Xpq7sX+deSp3DyWsfLUNRPJmoTpcbFAVbal8GD+3nSQjxEfJ1a4LskhoOFVUTFmTknul9GZzk8Rg1AVXt9fZsQGgaO9dvJ65Hr1b7VmaWUdRGA2MV6IiQ3KpDZfRooz2VxaDjgSk9+cuCHWAye81XYzi7rqyc+68d4fW+8JAg5l47CYDnlmVyoLi2yZg3vq/leRRFYd+h0iaPs97pDqiBd70P46iqCn26h6PzE6o1qAq3piX63NdS4m7xviKcbs3vg8juI82/T71O5b4Zfbh9ck+2ZZXj0jT6xdsJ66Bi0InkyilDefr179h3uKCVVq1Op2Kzmrjtmoltvn/8sFTGD0vt6mFKJCcc6XEehdWoQ6cIKmp9Gx+dTuWBX1/EF/+5g/tvnsavfzmJa66aTPS48wlK7M5rP+9HE6KVV9QoDffGkv0AlNc4iLQZqW/omi0EhIX69pJ8sX/7fvrEtW59teZQWattccFGRsbZiQkyBtQto5FaXx29GzhSWU9WeR13nd+LBEcZ5QXFuBuk5arLKzGXFvCPXw7H1sZ6b43DTUYLowngdGnU1DVnW1ZUOdi06wj7DjVr9y7ZVeBX1kcIwZHyOvbkVrTa1z3ejj3Y6Hf98qK+kdjNvp8nG6phcLk1tuRUtNsX0+UjIchs1DE6NZxxvSJPaaMJYDIa+PbVuxg1IBnw/O03RmS6xYbx/ev3kBjTeqlAIjnTkR7nUSgKGHQK0TYjy/cWMTq1Weh8b2Y+j734FQuXbkPTBIoC56X149zz01hS6NF/3ZNbwWNf7OC6c1LoFdNs2HbnlPPB6kMcLPSImmsCNh0sZWxDOydFgYikJA4dyAponE6HkytGtvaMKuubPS2LXuX87uGEWQxoQhAdZGDh/rbXUI+me1jr8GluRT3zN+eR0SKMGxQcwS3DI4jXOXC63PRMSsVi9m8UfGXuGg068ouqWbk5B4TA5W5tmXLLavlqcw4XD0vwmcilKAqv/Ljfp1FLim/dAeRoKv21HWmgzqXhY2itsJ2C4deOEhtp5+d37mfDzkP8sGo3Lreb0YNSmDK2b7tLEhLJmcrp/8nuIhQFxqWGUVTrJMSsZ1dGLtNveY7aemfTuo8QsHRdOkvX7yVk0EiMoeEkx9tJSgpjbUEV20trsOh1ZBdVsXbnES9vSgHqXW5CGhJ2ckpqyNWC0QcF46qu8jUkLyIiQhjXK6LV9lCLniqHGwWYnBKO3dSYiKQQbjEyNjGE1dltS/k1IUSrVlNHKut5dmlmK6NX7XDz6Y4CLu4XyYy+gQkH2Ex6LAa1lVebFGcnyGJga7pH3s0XD32yHbvFwHn9Y3BrzaUsqqrw6o/7+WD1IZ/vswag3lRU3faapYLH2bUYdBhUBWc7LmevyLaboJ9Idu7P5f1v1iGE4BdTRzC8f8cTkUYOSGZkg+cpkZztyEdGP+j1OpZnFCOA+5/6kNo6Z6u1Hrem4Xa7KU/fTmq3EAb0jMTU0IGjxqlRXOvEZDEyblgClhYeiAB6xwY3rYXuyC4HVSVsaJrf1mON/Ov+S32uwZ6T4gmdJdrNhJoNrcKSqWFW7MYAfu2KwsZs76bSX+8uxOHW2gxRLtxTRHldYIXtOlXhnO5hPm81ItTCqIFtG+B6l8btb23g6n+t4L2VmSzcmsdrP2cw7amf+ed3e1sd3+iY+uopeTRmfdvlPY15WDpVYVS3kHYbSs/o27ot24kkv7CcAZc8zMirnuC5t3/g+Xd+ZPzsp+k5/S8cyG5dRiKRSAJDepztsGJnHkGuOtZuPeD3OHdtDRZXBZuXZpCxYx9C00jo0Y2BY4dhDw9Bj0rP5FC2723+wqproZ6ib/gW1hmM2Hr2o3LfrjavZbAGsblUJa2slrijCufTkkL4Lr2IbnYTmhCtDKdbE1QH2GuyoKpZFL263sWmnEo/R3s88PVZ5Uzx4Qn7ItlmYP+BYrKLalAUj7pPUrwdp9NNZk4FIVYD5TXOJk/vaLZnlbM9q33vWa9Tcbg0cgurmtSI2mK4j4bOjegUcDeMZXKvSLblVVLjdPt8kJjcM5yo4JO3hlldU8+gyx+lqqa1sH3OkTJGzPwb+xY9RmRY63VyiUTiH+lxtsPMEYnc8fKygI794YOFbF66noriMipLK9izcSefvPAuO9duRVUVry9tBThQ0Jx1OapHeFORvzU+CUuC77CYzmIldMho3lt1mIv/voLMQu9MXKNO5Q+TPDWeLc1Dca2TpYdK+GBnPoGI9AkhMLfIPn3k233tvwdPOPdoDmQVsm57JjkFZU3b3lx6kCv/sYp92eVU1zqpqnFyMLucpeuyWLk5l/yiasobsoMFDTJ8umMrYXC4NPR6hQNZ5a1UihrRhKC8sp43fthPTb1vr1lRwKjzeLChFgN3TejeKhxrNahcPiCaKwZGH9NYO4sH/73Ap9FspM7h4nfPfHoCRySRnDlIj7MdzukdSd+EUPI2Hvs51n63grDocOJTumE2qtTUeUxXy9q98GAjV4/uxgerD4OiENKrP5aYeOryslGctRhMRmzxCTgtYaDqcGuC8lonv/tgK5/cNc7renazgWEJdo6Ue744cyvr+DmzlI6gKAoRDdmlm7PKqQ6wAHR9VjkX9I4kOtjIknXp/OVfX7JxZ3Nv0clj+pI8eBAL9zYnSTXS8hJHZyUrCjgCychpA5dL4HI5Wbc9j+H9YzAZ9U1r1aqqUFpex6ZdR3C7NQoq6vjfbWk+PdNG4ykExAYbmTsuidIaB/lVDow6hZRwS4eE97uK+QvXt3vMgp+3tnuMRCJpjTSc7aCqCnf+Mo3l3y3FVR9YP0dfrPx6Cb+44zpcjYlFwLTBsV7HPHh5f77bnk9xlSdBpW//ZHrOGIpepzbVNNY7XOzYV8SR4hrcmmDjwVL25VfSK9Y75JYYZqagwoFbE6zIKutwY+aaWifmhu//z7flt1mb2hIhBE5N4b8bcxmgVvGLe15pFWP9aW06rNtH+LAxGGztZ7k20l7pR6DU1bv5ae1hYiKCsAcb0TRBQUkNFVXNSUGr9hWzfG+R3+bSiuIJ3QJEBhuJPIlhWV/48zYbqW/Ds5ZIJP45rkfjp556CkVRuOeee5q2vfrqq0yaNAm73Y6iKJSVlbV7nocffhhFUbx++vbt63VMXV0dc+fOJSIiguDgYGbOnMmRI0eOZ/gB4dY03lh+iODurcUGOkJlaQV19S4cDeuLg5NCGJniXQNnNOiYPCAGVYEe3ULo2yMC4XKxedl6Fn/wDT9/+h0Fh3IY1i+apBY1nLt91CyaDCrdIy0cLq/rsKcmhGDDjny6RXjCkBVOrV2j6XI1fwlnFFXzm4ffQwjRqr2UEAKhuSnfu4PKA3spWPkj+UsXUbDqJ6oy96E5u65LiAKM7BVBqNVAflE1ezNL2X+4zMtogif55/P12V02jhNBkKV9Q24yyudmieRYOGbDuX79el555RUGD/ZueFxTU8P06dP505/+1KHzDRgwgLy8vKafFStWeO2/9957+eqrr/j4449ZunQpubm5XHnllcc6/IB5/rt9bNxTiCk2keCU3s0Zr8cgGbYro7mG8uWbRrRQyPHonx4prSUnpwBVVeiVFMauddt49+nX2bxkHdn7D3Fw534Wf/A1H//7f8SENH/pmdrIBI0LNVHjcndI9ACgts7F0G4hJDTIzpn0arvi9jUVVXz91mcNrdUOU1hS6VNIvhFXZTnVhzM8hlIINEc9VZn7Kd64Crcfz/54hNp0qkLvSCtV7WT+ujVBoY+12tOJq6ePbPeYi9toVi6RSPxzTIazqqqK2bNn89prrxEW5u013XPPPfzxj39kzJgxHTqnXq8nNja26ScysjmVv7y8nDfeeIPnnnuO888/nxEjRvDWW2+xatUq1qxp3Q+wsyitdvDKDxmAZ80vODmV6LHnY+vZj6DE7thS+xI2xLdW59EoCgyItTWVMLy7srnW0C3gvws3kfbAAlZm1xMXFcyh3ftZs2i5T4NVXV7Fj+9+QYTdiEmvMtZPFqspgE4gR7NrXyEPXdm/6fXY7qF+j9c0jUN7DlKYnc/SzxdTWVpxLM8VALjr6qjY23aTY1VV2i0DafPcmiAlMoiYEP+9NnWqQrwPrdrTib/dfZlfr9Nk0PPsH35xAkckkZw5HJPhnDt3LhdddBFTpkzptIHs27eP+Ph4evTowezZszl8uDmhZOPGjTidTq/r9e3bl6SkJFavXu3zfPX19VRUVHj9dJRvtuThPspwqUZjk9EM6pZCfW5mQOcaPSiF/9w0kk/uPoewICNfbsoBPN7mik0ZPPTlHlSzRxfWYFBZ890Kf6ejpqqGmoJ8bpjQHXsb7b8ABsYGd2h9U+908f5tafRsoXp0fs8I9KriOxtV09DcGrs3bAfg4M79GI0Gv96mfwT1xQW467wF5lUFgkw6XrtlRKsSnEAxGlQuGR7PrLFJfo2vWxNcNbrbMV3jVMEWZGbLZw+SFNdaEi82ws66jx8gKjywUhQhBJsPlfLuykN8uOYweWWB9SqVSM5UOrzIMX/+fDZt2sT69e1n7QVKWloab7/9Nn369CEvL49HHnmECRMmsGPHDmw2G/n5+RiNRkJDQ73eFxMTQ35+vs9zPvnkkzzyyCPHNa7Cinp0ioLLhxWIiwoiKcrMl0sKAjrXO//3KwB6xdr4940juPX1dYAnd+bRd5ZgsDUnCpUWV1BX3f6X05G9+7jtmav9HjMo3ka8zUReZb1fA6oCk1PDuPyohCUAu1nPvRO789TifegMei8xdrfTxQ8fLqSqzFPjKYQgxmZCUdV2mzf7w1lZgc5swVVTjairxmAy8sr9UxnfJ4plf4lm5b4ivtiQw2cbcto9l6J4HlAenTkQu8XAdeOT+XhtFlkltT6zd2cMjmVUj9NfgzUxNoz0hY+xafdh3v96HZomuHr6CMYM6dH+mxvIOFLFXf/bzK6ciqZ6WlWBS4fH8/hVg7CeAbKCEklH6dBffVZWFnfffTeLFy/GbPYf7uoIM2bMaPr34MGDSUtLIzk5mY8++ohbbrnlmM75wAMPcN999zW9rqiooFu3wL0ITYPwYFNTFmxL+vUIJyUxlIIc30b7aG6+cjwxkZ4ekHqdyoiUcEY09NGsrXOwI7caa6KG0qD9WZAXWOlIfZ2DW9/YwKd3j2/zGL1O4Vej4nllbQ5Hqh1Na4SNd9U91ExaUgijk0O96jaPJiXcQvayFeTUK8R1T0BBIf9wLvu3peOs906u2XS4luDkVCoPtl/72Raao46SzWtwlDfPxfV37uKh2y/mxsvHMqFPFOf0jsRuMfD28symXo++6Btn494ZfbhgYAwAdouBj+8ax18/2cF32/ObMnYtBh03TEjm/gv7nFFtr4b3S2J4v47L7OWV1XLVv1dRUetZE26cXU3Agk25FFc6eOe20WfUXEkkgdAhw7lx40YKCgoYPnx40za3282yZct44YUXqK+vR6drW7IsUEJDQ+nduzf793s6icTGxuJwOCgrK/PyOo8cOUJsbGsPCcBkMmEy+e7M0R6aBgVVDhbvaDaMZrNKtxg7Br2OpDhPGYXZ2n7IUFEU+vVM8NrmcmtNAu119U5QvA2WYmxfUxVAZ7awKbOMtfuLSevZ9jpnTIiZ309KZlNWJVvyKnG4NCKDjUzqEUa38MDDniP7J/HT64tI37jT73FVGLEmpaJpgurDGR53r9HtU3WgtSPBoChUZqSD8PZY8wrLue2R96isqeOOa89DURT+ekV/JvWP5r/LM9meXY5ZrzJtcCxXjExAURRsZr3PxteRNhMvzhnBkfI6dmaX4xbQLdpKmMXYpOJ0tvPGkoNU1Lp8PpBoApbvLWLN/mLG9jq50oISyYmmQ4Zz8uTJbN++3WvbnDlz6Nu3L/PmzesUowme5KOMjAyuv/56AEaMGIHBYODHH39k5syZAKSnp3P48GHGjh3bKddsSa1T41evrmVPnif8OLhPFHGRQeha1FMC2MNCiIiLoji/sM1WV6qqcNnkYV7bhIDQhpZSYXYLJnddk7cJoLcEoRpNaA7/mZ22lN4AvPRjhl/DCWAx6hmfGsb41GMPQV47cyLPvPGd3wzb4JhY9AY9bk1gS+lFUGIydYX5aE4HOpMFU1QMlft3U5ef0+Z5VJMZra6Otib1L//4kusuSSPUZkVRFM7tG+W35tIfFpOerFoXG7Ir0PaVAGAz6Ti3RxjT+0Se1d7UJ+uy/TYN16kKn2/IkYZTctbRoeQgm83GwIEDvX6CgoKIiIhg4MCBAOTn57Nly5Ymb3H79u1s2bKFkpKSpvNMnjyZF154oen17373O5YuXUpmZiarVq3iiiuuQKfTMWvWLABCQkK45ZZbuO+++/j555/ZuHEjc+bMYezYsR3O3g2ERdvz2ZlTgVsTjOgfQ2KMDV2DGszRX6QjJ4/FX5HEnddNbpWEYdCrlNd4wpuqqnLT5L5oDoeXIbH3Geh3jMawyCYBAV91nF2B2WRg7EXntrlf1an0PWeM132oBiPW+CSCk3tiiU1A1emx9+zPuBGNdbHe5T3GiGi0ulr8Nd10uFx88t2m470dKutdPL3koMdoipbb3Xy9u4iXVme1qkM9WxDCo0zlD7cmmsQ6JJKziU7XBnv55ZcZNmwYt956KwATJ05k2LBhLFiwoOmYjIwMioqaxc6zs7OZNWsWffr04eqrryYiIoI1a9YQFdXsRTz//PNcfPHFzJw5k4kTJxIbG8tnn33W2cMH4MsN2agKhAQbiPIR5mtJQo9uTL56OiarZ8230bAaDDruv3kaD95+idfxbk2juKqeKFtzqcAf5kwhvOKwJ0bcgDkimpD+Q1HU1l68OTqOsMHNdXonKrQYbzcxbPQgLph1MfbwkOYdCsQmx3PVHdeRmBjRrspPYmQw3718Bx/987ek9u2BMSwCS0wC4UPTsKe0LzSh1+nIPtIxCcFGhGj+WbSniLI6V5vj3V1QzbNLM3l+2SE+2ZZPfsXpXdvZERRFIdruf6njTCjbkUiOBUW0V9l+hlBRUUFISAjl5eXY7f6l3i7++wp25pQzvH8MMRHWgMJ1mttN1r5DVJZWYLYYeei6CQxN9hj+RtUdl1vDpQke+mQ7z88e4qXGU1FVy63Pf8+6Eu/oudA06ooLcNVUodMbMUfHoRq810CvGBnPc7O9w8FdxVe7Cvgu3dNqTdM03C4XeoMBRfHUVyaHmlm2KYdd2RWtSnkaueOCntx/YZ+m19klNWzKLEVBYcPhIp5+5FW/Y1AVhad/N5O5104KeNxuDVxasx/r0gQPLkr3q6qkAFN6RdI/Npg9BVWsyixjcs9wLugdWPeX051/LtrLv77f5/dBaMF95zCoW0jbB5xEOvKZl0g6wslXoz4FSQy3oFOVBo3YwN6j6nQk9+3BwLFD6Tm0P/N3FPP0N7vJLqkBoKbexecbsvnNG+u4b0avVhJ29mALr95/YasOIIqqYomKxZbcE2tCUiujCXDDOSnHdqPHwIV9oxgcFwx4MoQNRmNT67LIICO3jknk2WuH+JX4eWf5QYpbtCxLDLdy6fAExvWJpEgYiO2e4PdhRVEVZk4d3ub+o3Fp4NS8g781Dle7UoSKAlUOF0mhFqb0iuSB81PZnl/F9jz/7dXOFG6amEJShBVdGxGNq0cnnrJGUyLpSqTh9MEvxyTh1gRuTTsmBRyP2LnGwEg9//h2D5f8fSm3vr4Wt9vN678aSfJRragaCbEamDk6sUPKOHde0JOhyaEdH+QxolMVfpWWyG1jEhkQE4xB0ygqrEStrqef3YhJVVmRXuQ3qaSyzs2/v9/fant6oechY+T5YzyGs43Jv/EX5xIbGZgHoQmP4Twak14XkHyf2eAJlauKgkGncMvobiw/cGxh4tONEKunbGf64Fivv0mbWc+903vzxC+lZJ/k7ERWL/vg3L6RTBkYw+r9hUSFJR+T8awoKadap/DinI5l/f7lsv7sy69iw8FSVKXtriB2s56/XtGfmSdB4UZVFFLCLPzzmz38uLMAXYMM3tcbc3j8y12EBbUvMP7x2iwevnKA17bGVYPoxFimzr6EFQt+oqq82bvT6fUMHj+M3954QcBjdbehwWDSq/SL8YRg25pjTcCw+GYD7TGeEG0z4XBrGE+B9mFdTaTNxAs3Dqewoo49eZUY9SpDk0IxGTong14iOR2RhtMHqqrw4k3DeebrdNbkVtAt1u5VhgJ4qee0pHH70s+/5/xbOi5JaDXpee/2MXyzJZf5q7PILqkhwmYiLTWc8CAjBr3q6REaf/LWbIQQ3P72Rlbu9SR4uTXR1By7stbVVDDvjxqHm+KqeiKCmxNQureoKY1PSeSqu64nLzOHipIyjCYTib2SMZuNJLeTsNUSf+tzF/SOJL2gqkkRpyUKMCA2mISjdG0VoFdkUKe1OTtdiLKbibJ3nuiJRHI6Iw1nGxh0Kn+6rB9//mg7W3LKiY8OxtjiKbum1onZrEenKK2M6KqFSynOK2LkwO7HdG2jXuWKkYlNIgmnGlsOl7E8vcjnvo7Yk8IKb8OZEGKmR7iFzNJaNOGZz/iUROJTPPOgKjAy0Y6tAzJvvoxiI0mhFm5J68Z7m3KpdrhRGzQaBDAk3s41Q+Nan09R2Lk/n7e/ykYRMHN8KuMHnd66thKJpGNIw9kOd0ztySXPriD9YAlx0UEY9TrKq+opLqtDCEHveCvxsR7vLz8zhxULfkJBMGpQd4b0OTUN3/GycEseelXxKUfYESJ8NH+eMyqBZ5dmUl7namXwYm0mrvKhpesPVfWq8mlFn6hg/jw5lXWHy6h1ecKvA2KCiQpuXYqRkVvKrGd/oEKxND0kfbZnK3ZtNZ/Om0KvhPB2xyNEsxesKBxzpxeJRHLykIazHeJCLXx69zjmzd/G2oxmEQezQYWiXFYu2+JVJK9TFSLDbbzzxE0nYbQnhsp2+lkGwvheET5Df+FWAw+cn8KKzDJWHyqjqt5NmEXP+JQwxiWHdrhNmk6B9kZrM+nA4eJ3b2/inN6RvHjzqFbHlFTUcun//Yhbb/YKzyuKQoVqYfoTP7L+yYsIt/sOI4uGJKWjE3kVwKCTBlQiOZ2QhjMAkiODmH/HWDIKqkjPrcRkUBnTMwLN5eKNT7vzxqcryDlSRkRoEDdcNpbf/HIi0QG2bDodSYkKaldRx6BTcPoo91AAnQq/v7hvm+8NNumZ3ieS6X2OX8pNUcCo8zQK9zVig+oxWkkRVpxujZ93F/Dv7/dy59TeuDXRVIrx2PtrcBvMPstkFEXFbbDw1/+t5oW5k32Ow6n5Xm8VgMMNJt0x9UaXSCQnASmAIOkwRZX1jH34xzZDtTpF4eZzuxMaZOSF7/dR62yOlSZHWnn6miGMTm0/rNkRhPB4c41DUhWPt9lojBpDpC3DpC33A1z63Ap2ZpejCRjVI5zZ47szrHsYbrdg+qPfUK/zbTg95xeYnDXs/PfVTddX8ChFLd5xhI/XZXOkvI64UAtXjurGuf2iveojdYrH85R0HvIzL+kqpOGUHBPvrjzEg5/saGp60ohOVUiOtPLZ3eMJsRqoqXexLL2QyloXyZFBjOoR1unC6ZrweG2+MHYgDLr1cBm//PdqnG7NyzsMNumoqqoBQzvddhx17P7nzKaXNfUufvPGOq/Sosb2Z+N6RfKfOSOb6kRBep2djfzMS7qKM78QTdIlXDc+mZfnjKBvXHNI2mxQmTU2iU/vGkeI1aNwZDXpmT44jqvSujE6NbzTjabwYzTBsy/QR8MhSaF8fNc40lK9JfX6xNsxq5rfrjBCaJgV7yykRz7bwaZMj1hCoyFuFIZYs7+I//tqV2AD6wBCCKpq6nE4j38dWiKR+EaucUqOmWmDY5k6KIa8sjpqnW7iQy1YjCc23uhLFeho3AL0AdrrQd1CeH/uGHJKazlSXkdEsJHkyCB+99pyPt3VdhcaRVG5cEhM0+uCijq+3pzjV1zh03VZ3DWtT0CCEe3hcLp48YOlvDR/KYfzSlAUuGBsP35/8zTOGdHzuM8vkUiakR6n5LhQFE+HjNTo4BNuNKF1lqrPYwIwrkeTEGZhePewJnnEh2aPweSq9el1CiEwOmv40zXNLe7WHyhpVyTB6RZsbvBIj15v7QgOp4vL73iJP//jCw7nlTSMCX5cm87UW//JB9+sO7YTSyQSn0jDKTktEcKTKXuisFkN/PTwDBJNLkSLwlChaSQYnSx+6EKCLM2eoxZgjWtj6FavwoGsQm566AP6XfE4A2c+xbx/LqCgpH1B+Rc/WMrS9XtbZTq73Z7w8m8efi+g83Q1mqaxaddhlm3YS05B2ckejkRyzMhQreS0o3FdM9Csts5aVo2PCGL5U5ezN6eUL1ZlAHDZmFS6x4e1OnZIUmi751MVz3FGHTz33jL+8tzHXguy/zqQzYvv/sRH//gNM8b383kOIQQvzV/qtzzI7db434I13H9T4Bq/nc27C9bw6EvfkJXv8bAVRWHaOf157g9XkZJ4/GVHEsmJRHqcktMOt+iYtF8HNRP8oijQJzGMeVePZN7VI+ndrbXRBEiKDGJCn6g2W3LpVIVpg2NJijCzeN0+/vLsRz6zmFwuF1fd8wp5heU+z1NT52gKz/ob8459ue3cWdfxr3d/4taH3m0ymuAx+ItX7WbC9c9wKLf4pI1NIjkWpOGUnHZ0ZM1S18Wydgptn//xqweTEGbx8niVhp8eUUE8ftUgAP784rf4a2Dqdrl4+PUffO4z6vVN/VDbHKOiYDaenOBSUWkVf/nnlz73ud0a5ZW1PPLi1yd4VBLJ8SENp+S0QnTA2zSoXS8qoCie6/giym7mk7vP4fcX9aNHdDB2i55escE8eHl/Pr93fFM27Z49mbR3V9+v9F26YjDouGB8P3R+Wpy53BoXTzo5vTM//HYDbj9POi63xiffbaKyuu4EjkoiOT7kGqfktMCzrqnhcAkM+vatoYpH2u9EoCiQXVJNbIgF/VEXtVkMzDm3BzdM6I5eVTD5qIsJJJHI6ScT6ndzpvL9yt0+9+l0Kr2To5l+zgCf+7uaQ7nF6HQqmqvt8TtdbgpLKrEFybZlktMD6XFKTnmEgOp6F26hBGQ04cQZzUae/WZPK6PZEp2qsi7Ddys2e2QE/kK1oNCjR0Kbe88Z3pM3H78Bg16HqijoVLVpLL2To/nqpTv8eqRdSURoEJq/9jR4HjxC2xDHl0hORaThlJzyaAL0AazlNeJv3bEryCmtYdG2fL7ZnOszu1UTgh925PPswnSf75916Tj8h2oFf26nKfo1M0aR8d3feOzuy7h6xgiuv3QMn/7zN6z/6E8kRIcGfjOdzNXTR/rN+NWpClPG9iM8JOgEjkoiOT5kqFZyylNQWo3dZiWvsp5N2eVU1rsItRgY1S2E6GCTVyNxFc+65onUfC2vdgLwhw82syevghsnpBBp8+jallY7eHfFQV79KYOUKN/G4W83T2TR6nQyt+/Eq/V2gxDwRZedx7SRKe2OIyrcxn03+jewJ5qUxEhuvnI8b362slXSsKIoCBRSBg8ko6CK1OjgkzNIiaSDSJF3ySnPhn1H2FziYktuBWqDqLzSIJo+ISWMSwfEoGmCea98z3/umn7Cx1dT52LAA981vdarCsmRQSgKHCqqbmqvNm1QDC/fPNLnOSpqndz+rx9Y+MN66spKAIWQmBh+88tzeei6MZ2u8XsicbncPPD857z84TJcLRKFVKOJ0H6DsYRH4RaC68Yn8fCVA9ss4eko8jMv6Sqkxyk5pVmxaT8ZmpWtuR6d2MY8msbHveUHS7GZ9AxPCGHnwfyTMkarWc+gbiFsz/LUWro0QUZBVavj/niJbxEDALvFwLvzZlB59xQyjlRj1Cv0jrX5XTc9XdDpVC6/9Fx+LrGSdfAwwuVCbw3GGB6Joii4G36Z7648jFODJ64aGHBYXiI5GZz+n0rJGUtuQRn/+HAlG7LL/a4A/ry/GLNeIcl+/GLpx8pLN43AqGv7y/7qtES6txGqbYnNbGBocij9E0LOCKO5PL2QyU8u5bqX11FcJ7DGdSOoWwqmiCifXvQna7P41/JMnMciMCyRnCBO/0+m5IzljU9XMmTkgHbF0mtdGtnldTx//8yAW4h1NgnhFn544FwGJnqHBINMOu6b0Zv/u2bIyRnYSWR5eiE3vbKOzKLqgN/j1gQr9xbz1a7CLhyZRHJ8yFCt5JTl66XbuPDKwJJdXBpYLcYOtRDrbLpFBPHV/ROoqHWSnldJeJCB1Bhb+288AxFC8PCnOxEE3g+1EZdbsPxgKRf2i8LcmXqJEkknIf8qJacsdfUudu/YH9CxsQ1ZrKdChM9uMTCqR/hZazQBtmWVc6Cw+pgiALYgIw634HBpbecPTCLpBKThlJyyjB7UnUXfrSUqyNCmPICqQL/oIMKshtM68/RMI7/s2CT0Qm0mbA1ShGdFur/ktESGaiWnLL/55UTe/WotaxYup//kcTjdmtd6p6pAsFHPzEFxgCc82FmlDGcDBVUOlh0oZXt+JZomSImwcm6PMFIjjl/FJ8pu6tDxCqDXqwzuEwV4hBG6hUgJPsmpifQ4JacsIwck8+gdl7B06UaS3NWMTAxB32AYTTqV8d3DuHdid8KsBoQQKIpywqX2Tld25Ffy2A8ZLMkooajaSUmti805FTy37BCL0n1LA3aEoUmhJIZb/AoJtiQuJojxwxMIthpRgLRudqzGLlbol0iOEelxSk5pfn/LNIb07cZzby/mpl9O5okZA3C4NUx6tanWr1HDQ6+eWKm905UjlfW8vDq7VSi00Zv/alchyWFm+h2Hko+qKvzlsv789q2NAR0fEWIhyGxAAElhZmYOijnma0skXY1UDpKcNlTV1PHDmnSiI0JITYoh2GpCINCrCka9Ko1mADhcGg8tzqCiztXmMQrQLyaIueOSjvt6C7fkced/N7VbUhQdZuHKCSmc0z2U0UkhGDohdCA/85KuQnqcktOGYKuZy88/++ohO5OVmWV+jSZ4knL2F9V0yvUuHBrHAx/pqaj1f82YYCPzzmtfj1ciORWQK0ISyVnE8oOlAR3nDqBHaKD0iA72Gw3QqYoUeJecVkjDKZGcRZTUONs9RghBbmE132/vHO3f68Yn+w3VujXBrLHHHxaWSE4U0nBKJGcRFkP7H3lFUcjMKeexL3ahdYLnednweM7tG9Vmq7drxyUxqkfYcV9HIjlRSMMpkZxFpCWFtptElZVfQXF5HdkltWw+FFho1x96ncqrt4zkrqm9CLMamrbHhZr56xX9eWzmQCleITmtkMlBEslZxKTUMFYdKqPa4W61TwhBVY2THXub6zgLKuo75bpGvco903tz+5SeZBXXoKoKSRFWKVghOS2RHqdEchYRajFw34Rk7A3iAkKIpjrYwtJa1mzN9arvjO1k9R6jXiU1JpiUqCBpNCWnLcdlOJ966ikUReGee+5p2vbqq68yadIk7HY7iqJQVlbW7nmefPJJRo0ahc1mIzo6mssvv5z09HSvYyZNmoSiKF4/t9122/EMXyI5K4m1m3h0Wip79hWy52AJuzOKWbo+iw078nG6PCr5CpAcaWVocuhJHatEcipyzIZz/fr1vPLKKwwePNhre01NDdOnT+dPf/pTwOdaunQpc+fOZc2aNSxevBin08nUqVOprvbu43frrbeSl5fX9PP0008f6/AlkrMag17H/VN7kZldzqHcCqprm7NtFUBR4OErB8i1R4nEB8e0xllVVcXs2bN57bXX+Nvf/ua1r9H7XLJkScDnW7Rokdfrt99+m+joaDZu3MjEiRObtlutVmJjY49lyBKJ5CguHBrHS+oIHvtiFzktWnglRVp5+MoBTOoXfRJHJ5GcuhyT4Zw7dy4XXXQRU6ZMaWU4O4Py8nIAwsPDvba/9957vPvuu8TGxnLJJZfw4IMPYrX67uRQX19PfX1zYkNFRUWnj1MiOd2ZNjiWCwbGsCmzlMLKemJDzAxNDpWepkTihw4bzvnz57Np0ybWr1/fFeNB0zTuuecexo8fz8CBA5u2X3vttSQnJxMfH8+2bduYN28e6enpfPbZZz7P8+STT/LII490yRglkjMJVVUY2SO8/QMlEgnQQcOZlZXF3XffzeLFizGbu6ZX3ty5c9mxYwcrVqzw2v7rX/+66d+DBg0iLi6OyZMnk5GRQWpqaqvzPPDAA9x3331NrysqKujWrVuXjFkikUgkZw8dMpwbN26koKCA4cOHN21zu90sW7aMF154gfr6enS6Y++hd8cdd/D111+zbNkyEhMT/R6blpYGwP79+30aTpPJhMnUsWa6EolEIpG0R4cM5+TJk9m+fbvXtjlz5tC3b1/mzZt3zEZTCMGdd97J559/zpIlS0hJab9LwpYtWwCIi4s7pmtKJBKJRHIsdMhw2mw2r3VHgKCgICIiIpq25+fnk5+fz/79+wHYvn07NpuNpKSkpmSfyZMnc8UVV3DHHXcAnvDs+++/z5dffonNZiM/3yMuHRISgsViISMjg/fff58LL7yQiIgItm3bxr333svEiRNblcNIJBKJRNKVdLpy0Msvv8ywYcO49dZbAZg4cSLDhg1jwYIFTcdkZGRQVNQs6/XSSy9RXl7OpEmTiIuLa/r58MMPATAajfzwww9MnTqVvn37cv/99zNz5ky++uqrzh6+RCKRSCR+UUSj3tYZjuwGL5GcXcjPvKSrkFq1EolEIpF0AGk4JRKJRCLpANJwSiQSiUTSAc6afpyNS7lSek8iOTto/KyfJWkckhPIWWM4KysrAaR6kERyllFZWUlISMjJHobkDOKsyarVNI3c3FxsNhuKojRJ8GVlZcmMuwCQ89Ux5Hx1jK6YLyEElZWVxMfHo6pyVUrSeZw1Hqeqqj5l/Ox2u/xi6wByvjqGnK+O0dnzJT1NSVcgH8MkEolEIukA0nBKJBKJRNIBzlrDaTKZeOihh2QHlQCR89Ux5Hx1DDlfktOJsyY5SCKRSCSSzuCs9TglEolEIjkWpOGUSCQSiaQDSMMpkUgkEkkHkIZTIpFIJJIOIA2nRCKRSCQd4Iw1nEuWLEFRFJ8/69evB6Curo6bbrqJQYMGodfrufzyywM6d/fu3Vud86mnnurCu+launKuSkpKmD17Nna7ndDQUG655Raqqqq68G66nkDmC2Dbtm1MmDABs9lMt27dePrpp9s9t69zzp8/vytvp8vpyvk6fPgwF110EVarlejoaH7/+9/jcrm68nYkkjNXcm/cuHHk5eV5bXvwwQf58ccfGTlyJAButxuLxcJdd93Fp59+2qHzP/roo9x6661Nr2022/EP+iTRlXM1e/Zs8vLyWLx4MU6nkzlz5vDrX/+a999/v1Pv4UQSyHxVVFQwdepUpkyZwssvv8z27du5+eabCQ0N5de//rXf87/11ltMnz696XVoaGin38OJpKvmy+12c9FFFxEbG8uqVavIy8vjhhtuwGAw8MQTT3T5fUnOYsRZgsPhEFFRUeLRRx/1uf/GG28Ul112WUDnSk5OFs8//3znDe4Uo7PmateuXQIQ69evb9r27bffCkVRRE5OTmcN96Tja75efPFFERYWJurr65u2zZs3T/Tp08fvuQDx+eefd9VQTwk6a74WLlwoVFUV+fn5TdteeuklYbfbvc4jkXQ2Z2yo9mgWLFhAcXExc+bM6ZTzPfXUU0RERDBs2DCeeeaZMyo81FlztXr1akJDQ5u8CoApU6agqipr16493mGeMviar9WrVzNx4kSMRmPTtmnTppGenk5paanf882dO5fIyEhGjx7Nm2++ecb1k+ys+Vq9ejWDBg0iJibG6z0VFRXs3Lmz625ActZzxoZqj+aNN95g2rRpPjukdJS77rqL4cOHEx4ezqpVq3jggQfIy8vjueee64SRnnw6a67y8/OJjo722qbX6wkPDyc/P/+4zn0q4Wu+8vPzSUlJ8Tqu8Qs+Pz+fsLAwn+d69NFHOf/887FarXz//ffcfvvtVFVVcdddd3XdDZxgOmu+8vPzvYzm0e+RSLqK087j/OMf/9hmokHjz549e7zek52dzXfffcctt9zSKWO47777mDRpEoMHD+a2227j2Wef5d///jf19fWdcv7O4lSYq9OJU2G+HnzwQcaPH8+wYcOYN28ef/jDH3jmmWc65dydzakwXxLJyeC08zjvv/9+brrpJr/H9OjRw+v1W2+9RUREBJdeemmXjCktLQ2Xy0VmZiZ9+vTpkmscCyd7rmJjYykoKPDa5nK5KCkpITY29rjP39l05nzFxsZy5MgRr22Nrzty72lpaTz22GPU19efcgLoJ3u+YmNjWbduXYfeI5F0Bqed4YyKiiIqKirg44UQvPXWW03Zdl3Bli1bUFW1VVjyZHOy52rs2LGUlZWxceNGRowYAcBPP/2EpmmkpaUd9/k7m86cr7Fjx/LnP/8Zp9PZtG/x4sX06dOnzTCtL7Zs2UJYWNgpZzTh5M/X2LFjefzxxykoKGj67C1evBi73U7//v2P8a4kkgA4qalJJ4AffvhBAGL37t0+9+/cuVNs3rxZXHLJJWLSpEli8+bNYvPmzU37165dK/r06SOys7OFEEKsWrVKPP/882LLli0iIyNDvPvuuyIqKkrccMMNJ+J2upTOnishhJg+fboYNmyYWLt2rVixYoXo1auXmDVrVlffygnB33yVlZWJmJgYcf3114sdO3aI+fPnC6vVKl555ZWmYz777DOvrNEFCxaI1157TWzfvl3s27dPvPjii8JqtYq//vWvJ+R+uprOni+XyyUGDhwopk6dKrZs2SIWLVokoqKixAMPPHBC7kdy9nLGG85Zs2aJcePGtbk/OTlZAK1+Gvn5558FIA4ePCiEEGLjxo0iLS1NhISECLPZLPr16yeeeOIJUVdX19W30uV09lwJIURxcbGYNWuWCA4OFna7XcyZM0dUVlZ25W2cMNqbr61bt4pzzjlHmEwmkZCQIJ566imv/W+99ZbX/H377bdi6NChIjg4WAQFBYkhQ4aIl19+Wbjd7i67hxNJZ8+XEEJkZmaKGTNmCIvFIiIjI8X9998vnE5nl4xfImlE9uOUSCQSiaQDnHZZtRKJRCKRnEyk4ZRIJBKJpANIwymRSCQSSQeQhlMikUgkkg4gDadEIpFIJB1AGk6JRCKRSDqANJwSiUQikXQAaTglEolEIukA0nBKJBKJRNIBpOGUSCQSiaQDSMMpkUgkEkkH+H84vNVl7RrHUAAAAABJRU5ErkJggg==", "text/plain": [ "
" ] @@ -1321,7 +1400,14 @@ { "cell_type": "code", "execution_count": 23, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:25.419095Z", + "iopub.status.busy": "2024-08-16T20:36:25.418646Z", + "iopub.status.idle": "2024-08-16T20:36:25.421236Z", + "shell.execute_reply": "2024-08-16T20:36:25.420764Z" + } + }, "outputs": [], "source": [ "# See Documentation\n", @@ -1340,6 +1426,12 @@ "cell_type": "code", "execution_count": 24, "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:25.423452Z", + "iopub.status.busy": "2024-08-16T20:36:25.423117Z", + "iopub.status.idle": "2024-08-16T20:36:28.331361Z", + "shell.execute_reply": "2024-08-16T20:36:28.330771Z" + }, "scrolled": true }, "outputs": [ @@ -1347,10 +1439,8 @@ "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\wq_data.py:379: UserWarning: WARNING: 'None' UNDEFINED UNIT for Secchi\n", - " warn(\"WARNING: \" + problem)\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'None' UNDEFINED UNIT for Secchi\n", + " warn(\"WARNING: \" + problem)\n" ] }, { @@ -1369,12 +1459,12 @@ "dtype: float64\n", "Unusable results: 264\n", "Usable results with inferred units: 0\n", - "Results outside threshold (0.0 to 2421.2409350894627): 16\n" + "Results outside threshold (0.0 to 2421.240935089463): 16\n" ] }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -1401,7 +1491,14 @@ { "cell_type": "code", "execution_count": 25, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:28.333677Z", + "iopub.status.busy": "2024-08-16T20:36:28.333328Z", + "iopub.status.idle": "2024-08-16T20:36:28.370480Z", + "shell.execute_reply": "2024-08-16T20:36:28.369889Z" + } + }, "outputs": [ { "data": { @@ -1434,7 +1531,7 @@ " \n", " \n", " \n", - " 14\n", + " 17\n", " 11113300-GRTKINSD\n", " 3.25\n", " m\n", @@ -1443,7 +1540,7 @@ " 3.25 meter\n", " \n", " \n", - " 125\n", + " 137\n", " 11113300-BEADERD\n", " 4.25\n", " m\n", @@ -1452,7 +1549,7 @@ " 4.25 meter\n", " \n", " \n", - " 303\n", + " 311\n", " 11113300-ANGSDND\n", " 3.5\n", " m\n", @@ -1461,7 +1558,7 @@ " 3.5 meter\n", " \n", " \n", - " 554\n", + " 577\n", " 11113300-GRTKINSD\n", " 2.25\n", " m\n", @@ -1470,7 +1567,7 @@ " 2.25 meter\n", " \n", " \n", - " 562\n", + " 597\n", " 11113300-GRTKINSD\n", " 4.75\n", " m\n", @@ -1488,7 +1585,7 @@ " ...\n", " \n", " \n", - " 412761\n", + " 415922\n", " 11NPSWRD_WQX-CACO_DUCK_W\n", " 16.5\n", " m\n", @@ -1497,7 +1594,7 @@ " 16.5 meter\n", " \n", " \n", - " 412762\n", + " 415923\n", " 11NPSWRD_WQX-CACO_DUCK_W\n", " 10.0\n", " m\n", @@ -1506,7 +1603,7 @@ " 10.0 meter\n", " \n", " \n", - " 412763\n", + " 415924\n", " 11NPSWRD_WQX-CACO_DUCK_W\n", " 17.0\n", " m\n", @@ -1515,7 +1612,7 @@ " 17.0 meter\n", " \n", " \n", - " 412764\n", + " 415925\n", " 11NPSWRD_WQX-CACO_DUCK_W\n", " 16.0\n", " m\n", @@ -1524,7 +1621,7 @@ " 16.0 meter\n", " \n", " \n", - " 412765\n", + " 415926\n", " 11NPSWRD_WQX-CACO_GREAT_W\n", " 7.8\n", " m\n", @@ -1539,30 +1636,30 @@ ], "text/plain": [ " MonitoringLocationIdentifier ResultMeasureValue \\\n", - "14 11113300-GRTKINSD 3.25 \n", - "125 11113300-BEADERD 4.25 \n", - "303 11113300-ANGSDND 3.5 \n", - "554 11113300-GRTKINSD 2.25 \n", - "562 11113300-GRTKINSD 4.75 \n", + "17 11113300-GRTKINSD 3.25 \n", + "137 11113300-BEADERD 4.25 \n", + "311 11113300-ANGSDND 3.5 \n", + "577 11113300-GRTKINSD 2.25 \n", + "597 11113300-GRTKINSD 4.75 \n", "... ... ... \n", - "412761 11NPSWRD_WQX-CACO_DUCK_W 16.5 \n", - "412762 11NPSWRD_WQX-CACO_DUCK_W 10.0 \n", - "412763 11NPSWRD_WQX-CACO_DUCK_W 17.0 \n", - "412764 11NPSWRD_WQX-CACO_DUCK_W 16.0 \n", - "412765 11NPSWRD_WQX-CACO_GREAT_W 7.8 \n", + "415922 11NPSWRD_WQX-CACO_DUCK_W 16.5 \n", + "415923 11NPSWRD_WQX-CACO_DUCK_W 10.0 \n", + "415924 11NPSWRD_WQX-CACO_DUCK_W 17.0 \n", + "415925 11NPSWRD_WQX-CACO_DUCK_W 16.0 \n", + "415926 11NPSWRD_WQX-CACO_GREAT_W 7.8 \n", "\n", " ResultMeasure/MeasureUnitCode QA_flag Units Secchi \n", - "14 m NaN m 3.25 meter \n", - "125 m NaN m 4.25 meter \n", - "303 m NaN m 3.5 meter \n", - "554 m NaN m 2.25 meter \n", - "562 m NaN m 4.75 meter \n", + "17 m NaN m 3.25 meter \n", + "137 m NaN m 4.25 meter \n", + "311 m NaN m 3.5 meter \n", + "577 m NaN m 2.25 meter \n", + "597 m NaN m 4.75 meter \n", "... ... ... ... ... \n", - "412761 m NaN m 16.5 meter \n", - "412762 m NaN m 10.0 meter \n", - "412763 m NaN m 17.0 meter \n", - "412764 m NaN m 16.0 meter \n", - "412765 m NaN m 7.8 meter \n", + "415922 m NaN m 16.5 meter \n", + "415923 m NaN m 10.0 meter \n", + "415924 m NaN m 17.0 meter \n", + "415925 m NaN m 16.0 meter \n", + "415926 m NaN m 7.8 meter \n", "\n", "[5123 rows x 6 columns]" ] @@ -1582,7 +1679,14 @@ { "cell_type": "code", "execution_count": 26, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:28.372867Z", + "iopub.status.busy": "2024-08-16T20:36:28.372521Z", + "iopub.status.idle": "2024-08-16T20:36:28.390185Z", + "shell.execute_reply": "2024-08-16T20:36:28.389672Z" + } + }, "outputs": [ { "data": { @@ -1615,7 +1719,7 @@ " \n", " \n", " \n", - " 10249\n", + " 10492\n", " NARS_WQX-NLA12_MA-102\n", " NaN\n", " NaN\n", @@ -1624,7 +1728,7 @@ " NaN\n", " \n", " \n", - " 28878\n", + " 29771\n", " EPA_OCMA_R1-SS-2\n", " dark\n", " m\n", @@ -1633,7 +1737,7 @@ " NaN\n", " \n", " \n", - " 31761\n", + " 32659\n", " EPA_OCMA_R1-SS-3\n", " dark\n", " m\n", @@ -1642,7 +1746,7 @@ " NaN\n", " \n", " \n", - " 33655\n", + " 34650\n", " EPA_OCMA_R1-R1-23\n", " dark\n", " m\n", @@ -1651,7 +1755,7 @@ " NaN\n", " \n", " \n", - " 35891\n", + " 36903\n", " EPA_OCMA_R1-R1-25\n", " dark\n", " m\n", @@ -1669,7 +1773,7 @@ " ...\n", " \n", " \n", - " 325018\n", + " 328138\n", " 11NPSWRD_WQX-CACO_GREAT_W\n", " NaN\n", " m\n", @@ -1678,7 +1782,7 @@ " NaN\n", " \n", " \n", - " 325099\n", + " 328218\n", " 11NPSWRD_WQX-CACO_GREAT_W\n", " NaN\n", " m\n", @@ -1687,7 +1791,7 @@ " NaN\n", " \n", " \n", - " 325464\n", + " 328574\n", " 11NPSWRD_WQX-CACO_GREAT_W\n", " NaN\n", " m\n", @@ -1696,7 +1800,7 @@ " NaN\n", " \n", " \n", - " 326200\n", + " 329325\n", " 11NPSWRD_WQX-CACO_GREAT_W\n", " NaN\n", " m\n", @@ -1705,7 +1809,7 @@ " NaN\n", " \n", " \n", - " 412752\n", + " 415913\n", " 11NPSWRD_WQX-CACO_SLOUGH\n", " NaN\n", " m\n", @@ -1720,43 +1824,43 @@ ], "text/plain": [ " MonitoringLocationIdentifier ResultMeasureValue \\\n", - "10249 NARS_WQX-NLA12_MA-102 NaN \n", - "28878 EPA_OCMA_R1-SS-2 dark \n", - "31761 EPA_OCMA_R1-SS-3 dark \n", - "33655 EPA_OCMA_R1-R1-23 dark \n", - "35891 EPA_OCMA_R1-R1-25 dark \n", + "10492 NARS_WQX-NLA12_MA-102 NaN \n", + "29771 EPA_OCMA_R1-SS-2 dark \n", + "32659 EPA_OCMA_R1-SS-3 dark \n", + "34650 EPA_OCMA_R1-R1-23 dark \n", + "36903 EPA_OCMA_R1-R1-25 dark \n", "... ... ... \n", - "325018 11NPSWRD_WQX-CACO_GREAT_W NaN \n", - "325099 11NPSWRD_WQX-CACO_GREAT_W NaN \n", - "325464 11NPSWRD_WQX-CACO_GREAT_W NaN \n", - "326200 11NPSWRD_WQX-CACO_GREAT_W NaN \n", - "412752 11NPSWRD_WQX-CACO_SLOUGH NaN \n", + "328138 11NPSWRD_WQX-CACO_GREAT_W NaN \n", + "328218 11NPSWRD_WQX-CACO_GREAT_W NaN \n", + "328574 11NPSWRD_WQX-CACO_GREAT_W NaN \n", + "329325 11NPSWRD_WQX-CACO_GREAT_W NaN \n", + "415913 11NPSWRD_WQX-CACO_SLOUGH NaN \n", "\n", " ResultMeasure/MeasureUnitCode \\\n", - "10249 NaN \n", - "28878 m \n", - "31761 m \n", - "33655 m \n", - "35891 m \n", + "10492 NaN \n", + "29771 m \n", + "32659 m \n", + "34650 m \n", + "36903 m \n", "... ... \n", - "325018 m \n", - "325099 m \n", - "325464 m \n", - "326200 m \n", - "412752 m \n", + "328138 m \n", + "328218 m \n", + "328574 m \n", + "329325 m \n", + "415913 m \n", "\n", " QA_flag Units Secchi \n", - "10249 ResultMeasureValue: missing (NaN) result; Resu... m NaN \n", - "28878 ResultMeasureValue: \"dark\" result cannot be used m NaN \n", - "31761 ResultMeasureValue: \"dark\" result cannot be used m NaN \n", - "33655 ResultMeasureValue: \"dark\" result cannot be used m NaN \n", - "35891 ResultMeasureValue: \"dark\" result cannot be used m NaN \n", + "10492 ResultMeasureValue: missing (NaN) result; Resu... m NaN \n", + "29771 ResultMeasureValue: \"dark\" result cannot be used m NaN \n", + "32659 ResultMeasureValue: \"dark\" result cannot be used m NaN \n", + "34650 ResultMeasureValue: \"dark\" result cannot be used m NaN \n", + "36903 ResultMeasureValue: \"dark\" result cannot be used m NaN \n", "... ... ... ... \n", - "325018 ResultMeasureValue: missing (NaN) result m NaN \n", - "325099 ResultMeasureValue: missing (NaN) result m NaN \n", - "325464 ResultMeasureValue: missing (NaN) result m NaN \n", - "326200 ResultMeasureValue: missing (NaN) result m NaN \n", - "412752 ResultMeasureValue: missing (NaN) result m NaN \n", + "328138 ResultMeasureValue: missing (NaN) result m NaN \n", + "328218 ResultMeasureValue: missing (NaN) result m NaN \n", + "328574 ResultMeasureValue: missing (NaN) result m NaN \n", + "329325 ResultMeasureValue: missing (NaN) result m NaN \n", + "415913 ResultMeasureValue: missing (NaN) result m NaN \n", "\n", "[264 rows x 6 columns]" ] @@ -1774,7 +1878,14 @@ { "cell_type": "code", "execution_count": 27, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:28.392454Z", + "iopub.status.busy": "2024-08-16T20:36:28.392100Z", + "iopub.status.idle": "2024-08-16T20:36:28.405230Z", + "shell.execute_reply": "2024-08-16T20:36:28.404633Z" + } + }, "outputs": [ { "data": { @@ -1795,7 +1906,14 @@ { "cell_type": "code", "execution_count": 28, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:28.407440Z", + "iopub.status.busy": "2024-08-16T20:36:28.407119Z", + "iopub.status.idle": "2024-08-16T20:36:28.424686Z", + "shell.execute_reply": "2024-08-16T20:36:28.424148Z" + } + }, "outputs": [ { "data": { @@ -1828,7 +1946,7 @@ " \n", " \n", " \n", - " 10249\n", + " 10492\n", " NARS_WQX-NLA12_MA-102\n", " NaN\n", " NaN\n", @@ -1837,7 +1955,7 @@ " NaN\n", " \n", " \n", - " 28857\n", + " 29737\n", " NARS_WQX-NCCA10-1070\n", " -9\n", " None\n", @@ -1846,7 +1964,7 @@ " -9.0 meter\n", " \n", " \n", - " 28878\n", + " 29771\n", " EPA_OCMA_R1-SS-2\n", " dark\n", " m\n", @@ -1855,7 +1973,7 @@ " NaN\n", " \n", " \n", - " 29028\n", + " 29918\n", " NARS_WQX-NCCA10-1029\n", " -9\n", " None\n", @@ -1864,7 +1982,7 @@ " -9.0 meter\n", " \n", " \n", - " 30225\n", + " 31135\n", " NARS_WQX-NCCA10-1001\n", " -9\n", " None\n", @@ -1882,7 +2000,7 @@ " ...\n", " \n", " \n", - " 325018\n", + " 328138\n", " 11NPSWRD_WQX-CACO_GREAT_W\n", " NaN\n", " m\n", @@ -1891,7 +2009,7 @@ " NaN\n", " \n", " \n", - " 325099\n", + " 328218\n", " 11NPSWRD_WQX-CACO_GREAT_W\n", " NaN\n", " m\n", @@ -1900,7 +2018,7 @@ " NaN\n", " \n", " \n", - " 325464\n", + " 328574\n", " 11NPSWRD_WQX-CACO_GREAT_W\n", " NaN\n", " m\n", @@ -1909,7 +2027,7 @@ " NaN\n", " \n", " \n", - " 326200\n", + " 329325\n", " 11NPSWRD_WQX-CACO_GREAT_W\n", " NaN\n", " m\n", @@ -1918,7 +2036,7 @@ " NaN\n", " \n", " \n", - " 412752\n", + " 415913\n", " 11NPSWRD_WQX-CACO_SLOUGH\n", " NaN\n", " m\n", @@ -1933,43 +2051,43 @@ ], "text/plain": [ " MonitoringLocationIdentifier ResultMeasureValue \\\n", - "10249 NARS_WQX-NLA12_MA-102 NaN \n", - "28857 NARS_WQX-NCCA10-1070 -9 \n", - "28878 EPA_OCMA_R1-SS-2 dark \n", - "29028 NARS_WQX-NCCA10-1029 -9 \n", - "30225 NARS_WQX-NCCA10-1001 -9 \n", + "10492 NARS_WQX-NLA12_MA-102 NaN \n", + "29737 NARS_WQX-NCCA10-1070 -9 \n", + "29771 EPA_OCMA_R1-SS-2 dark \n", + "29918 NARS_WQX-NCCA10-1029 -9 \n", + "31135 NARS_WQX-NCCA10-1001 -9 \n", "... ... ... \n", - "325018 11NPSWRD_WQX-CACO_GREAT_W NaN \n", - "325099 11NPSWRD_WQX-CACO_GREAT_W NaN \n", - "325464 11NPSWRD_WQX-CACO_GREAT_W NaN \n", - "326200 11NPSWRD_WQX-CACO_GREAT_W NaN \n", - "412752 11NPSWRD_WQX-CACO_SLOUGH NaN \n", + "328138 11NPSWRD_WQX-CACO_GREAT_W NaN \n", + "328218 11NPSWRD_WQX-CACO_GREAT_W NaN \n", + "328574 11NPSWRD_WQX-CACO_GREAT_W NaN \n", + "329325 11NPSWRD_WQX-CACO_GREAT_W NaN \n", + "415913 11NPSWRD_WQX-CACO_SLOUGH NaN \n", "\n", " ResultMeasure/MeasureUnitCode \\\n", - "10249 NaN \n", - "28857 None \n", - "28878 m \n", - "29028 None \n", - "30225 None \n", + "10492 NaN \n", + "29737 None \n", + "29771 m \n", + "29918 None \n", + "31135 None \n", "... ... \n", - "325018 m \n", - "325099 m \n", - "325464 m \n", - "326200 m \n", - "412752 m \n", + "328138 m \n", + "328218 m \n", + "328574 m \n", + "329325 m \n", + "415913 m \n", "\n", " QA_flag Units Secchi \n", - "10249 ResultMeasureValue: missing (NaN) result; Resu... m NaN \n", - "28857 ResultMeasure/MeasureUnitCode: 'None' UNDEFINE... m -9.0 meter \n", - "28878 ResultMeasureValue: \"dark\" result cannot be used m NaN \n", - "29028 ResultMeasure/MeasureUnitCode: 'None' UNDEFINE... m -9.0 meter \n", - "30225 ResultMeasure/MeasureUnitCode: 'None' UNDEFINE... m -9.0 meter \n", + "10492 ResultMeasureValue: missing (NaN) result; Resu... m NaN \n", + "29737 ResultMeasure/MeasureUnitCode: 'None' UNDEFINE... m -9.0 meter \n", + "29771 ResultMeasureValue: \"dark\" result cannot be used m NaN \n", + "29918 ResultMeasure/MeasureUnitCode: 'None' UNDEFINE... m -9.0 meter \n", + "31135 ResultMeasure/MeasureUnitCode: 'None' UNDEFINE... m -9.0 meter \n", "... ... ... ... \n", - "325018 ResultMeasureValue: missing (NaN) result m NaN \n", - "325099 ResultMeasureValue: missing (NaN) result m NaN \n", - "325464 ResultMeasureValue: missing (NaN) result m NaN \n", - "326200 ResultMeasureValue: missing (NaN) result m NaN \n", - "412752 ResultMeasureValue: missing (NaN) result m NaN \n", + "328138 ResultMeasureValue: missing (NaN) result m NaN \n", + "328218 ResultMeasureValue: missing (NaN) result m NaN \n", + "328574 ResultMeasureValue: missing (NaN) result m NaN \n", + "329325 ResultMeasureValue: missing (NaN) result m NaN \n", + "415913 ResultMeasureValue: missing (NaN) result m NaN \n", "\n", "[272 rows x 6 columns]" ] @@ -1994,7 +2112,14 @@ { "cell_type": "code", "execution_count": 29, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:28.426978Z", + "iopub.status.busy": "2024-08-16T20:36:28.426618Z", + "iopub.status.idle": "2024-08-16T20:36:28.440215Z", + "shell.execute_reply": "2024-08-16T20:36:28.439762Z" + } + }, "outputs": [ { "data": { @@ -2124,14 +2249,21 @@ { "cell_type": "code", "execution_count": 30, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:28.442519Z", + "iopub.status.busy": "2024-08-16T20:36:28.442099Z", + "iopub.status.idle": "2024-08-16T20:36:28.626551Z", + "shell.execute_reply": "2024-08-16T20:36:28.625955Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\mapclassify\\classifiers.py:257: UserWarning: Not enough unique values in array to form 5 classes. Setting k to 4.\n", - " warnings.warn(\n" + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/mapclassify/classifiers.py:1653: UserWarning: Not enough unique values in array to form 5 classes. Setting k to 4.\n", + " self.bins = quantile(y, k=k)\n" ] }, { @@ -2146,7 +2278,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -2164,7 +2296,14 @@ { "cell_type": "code", "execution_count": 31, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:28.628921Z", + "iopub.status.busy": "2024-08-16T20:36:28.628542Z", + "iopub.status.idle": "2024-08-16T20:36:28.805105Z", + "shell.execute_reply": "2024-08-16T20:36:28.804544Z" + } + }, "outputs": [ { "data": { @@ -2178,7 +2317,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -2210,16 +2349,21 @@ { "cell_type": "code", "execution_count": 32, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:28.807535Z", + "iopub.status.busy": "2024-08-16T20:36:28.807164Z", + "iopub.status.idle": "2024-08-16T20:36:32.387764Z", + "shell.execute_reply": "2024-08-16T20:36:32.387179Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\convert.py:125: UserWarning: WARNING: 'count' converted to NaN\n", - " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'count' converted to NaN\n", + " warn(f\"WARNING: '{unit}' converted to NaN\")\n" ] }, { @@ -2227,23 +2371,23 @@ "output_type": "stream", "text": [ "-Usable results-\n", - "count 118916.000000\n", - "mean 16.047985\n", - "std 7.339153\n", + "count 119742.000000\n", + "mean 16.041278\n", + "std 7.327751\n", "min -6.000000\n", "25% 11.000000\n", - "50% 16.777500\n", - "75% 21.700000\n", + "50% 16.730000\n", + "75% 21.683374\n", "max 910.000000\n", "dtype: float64\n", "Unusable results: 213\n", "Usable results with inferred units: 217\n", - "Results outside threshold (0.0 to 60.08290250951757): 115\n" + "Results outside threshold (0.0 to 60.007781720935796): 116\n" ] }, { "data": { - "image/png": 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1b0v9HYZhGDe8ssOhnTt3atasWQGXX716VZMmTdKwYcO0fft2SdLq1au1bds2lZeX+7Tt37+/CgoKtHjxYmVmZio1NVUvv/yyufzs2bMaOXKkzp49q+HDhzfbVn5+vgoKCprNLyoqUlxc3I3uIgAAaEd1dXWaN2+eampqFB8fH9K6YTtT4/F4dP/998swDL300kvh2oxp+fLlysvLM6dra2uVkpKizMzMkIvSGo/HI5fLpWnTpik6OtrSvhFYsDUflb9Pp/OzWu1vVP4+Sbpu22DatLdg9y/Ytq21sbLuVtfciv3rqDjGRAZ1jwz/unuvtNyIsIQab6D55JNPdPDgQZ9QkZSUpKqqKp/2165d06VLl5SUlGS2qays9Gnjnfa28ed0OuV0OpvNj46ODtubM5x9I7DWau5ucAT1PXE3OMz+2tKmvQW7f8G2DbY/K+pudc2t3L+OimNMZFD3yPDWvS21t/xzaryB5sMPP9Tvfvc79e3b12d5enq6qqurVVpaas47ePCgGhsblZaWZrYpLi72ua7mcrk0dOjQgPfTAAAAhBxqLl++rLKyMpWVlUmSzp8/r7KyMl24cEEej0ff/e53deLECW3fvl0NDQ2qqKhQRUWF6uvrJUnDhw/X3XffrYULF+rYsWP6/e9/r9zcXM2dO1fJycmSpHnz5ikmJkYLFizQmTNntGPHDr344os+l5cAAACaCvny04kTJzRlyhRz2hs05s+fr/z8fP3mN7+RJI0dO9ZnvbfffluTJ0+WJG3fvl25ubmaOnWqoqKiNGfOHG3cuNFsm5CQoP379ysnJ0fjxo1Tv379tHLlSh7nBgAALQo51EyePFnXe2AqmIep+vTpo6Kiouu2GT16tN59991QhwcAALoo/vYTgLAYsmyPhizbE+lhAOhCCDUAAMAWCDVAO+CMBQCEH6EGAADYAqEGAADYAqEGAADYAqEGAADYAqEGAADYAqEGAADYAqEGnRqPSluLegLozAg1AADAFgg1QBtxdgMAOgZCDQAAsAVCDQAAsAVCDQAAsAVCDYCI4p4kAFYh1AAAAFsg1AAAAFsg1AAAAFsg1AAAAFsg1AAAAFsg1AAAAFsg1AAAAFsg1AAdhJ0/r8XO+wag4yDUAAAAWyDUAAAAWyDUAAAAWyDUALDEkGV7uHcGQEQRagAAgC0QagAAgC0QagAAgC2EHGqKi4t17733Kjk5WQ6HQ7t27fJZbhiGVq5cqYEDB6pHjx7KyMjQhx9+6NPm0qVLys7OVnx8vBITE7VgwQJdvnzZp83Jkyd1xx13KDY2VikpKSosLAx97wBYjvtmAHRUIYeaK1euaMyYMdq8eXPA5YWFhdq4caO2bNmio0ePqmfPnsrKytLVq1fNNtnZ2Tpz5oxcLpd2796t4uJiLVq0yFxeW1urzMxMDR48WKWlpXruueeUn5+vV1555QZ2EQAAdAXdQ11h+vTpmj59esBlhmFow4YNevLJJzVz5kxJ0i9+8QsNGDBAu3bt0ty5c3Xu3Dnt3btXx48f1/jx4yVJmzZt0j333KPnn39eycnJ2r59u+rr6/Xqq68qJiZGI0eOVFlZmdavX+8TfgAAALxCDjXXc/78eVVUVCgjI8Ocl5CQoLS0NJWUlGju3LkqKSlRYmKiGWgkKSMjQ1FRUTp69Khmz56tkpIS3XnnnYqJiTHbZGVlad26dfr888/Vu3fvZtt2u91yu93mdG1trSTJ4/HI4/FYuZtmf1b3i5a1VHNnN8Nnnv90S5zdjID9hdom2G22Z5u29Oc/Hajugfr11qpp26b1C7Q8UH/B1rylcdxIm46IY0xkUPfI8K97W+rvMAzDaL1ZCys7HNq5c6dmzZolSTp8+LAmTZqkixcvauDAgWa7+++/Xw6HQzt27NDq1au1bds2lZeX+/TVv39/FRQUaPHixcrMzFRqaqpefvllc/nZs2c1cuRInT17VsOHD282lvz8fBUUFDSbX1RUpLi4uBvdRQAA0I7q6uo0b9481dTUKD4+PqR1LT1TE0nLly9XXl6eOV1bW6uUlBRlZmaGXJTWeDweuVwuTZs2TdHR0Zb2jcBaqvmo/H06nZ/V4nRLRuXvk6Trtg2mTbDbbM82benPfzpQ3QP1662V9Nd6Na1foOWBthlszW90/zoLjjGRQd0jw7/u3istN8LSUJOUlCRJqqys9DlTU1lZqbFjx5ptqqqqfNa7du2aLl26ZK6flJSkyspKnzbeaW8bf06nU06ns9n86OjosL05w9k3AvOvubvBcd3plrgbHGZ/bWkT7Dbbs01b+mtpnaZ1D9TGWytv26bzoqOjAy4PtM1ga369sYbapiPjGBMZ1D0yvHVvS+0t/Zya1NRUJSUl6cCBA+a82tpaHT16VOnp6ZKk9PR0VVdXq7S01Gxz8OBBNTY2Ki0tzWxTXFzsc13N5XJp6NChAe+nAQAACDnUXL58WWVlZSorK5P05c3BZWVlunDhghwOh5YsWaJnnnlGv/nNb3Tq1Cl9//vfV3JysnnfzfDhw3X33Xdr4cKFOnbsmH7/+98rNzdXc+fOVXJysiRp3rx5iomJ0YIFC3TmzBnt2LFDL774os/lJQCdF591AyAcQr78dOLECU2ZMsWc9gaN+fPna+vWrXr88cd15coVLVq0SNXV1br99tu1d+9excbGmuts375dubm5mjp1qqKiojRnzhxt3LjRXJ6QkKD9+/crJydH48aNU79+/bRy5Uoe50ZEeX8Qf7x2RoRHAgAIJORQM3nyZF3vgSmHw6FVq1Zp1apVLbbp06ePioqKrrud0aNH69133w11eAAAoIvibz8BAABbINQAAABbINQAAABbINQAAABbINQAFuNxZQCIDEINECGEHwCwFqEGAADYAqEGAADYAqEGHRaXZwAAoSDUAB3YkGV7CHcAECRCDQAAsAVCDQAAsAVCDSKOSyzti1oDsCtCDQAAsAVCDQAAsAVCTRfCZR4AgJ0RagAAgC0QagAAgC0QagC0CZc0AXQUhBoAAGALhBoAAGALhBrA5jrrU2+dccwAIotQgxvGDx0AQEdCqAEAALZAqAHCqCNd+uko4wCAcCHUAGjVqPx9hCIAHR6hBgAA2AKhBgAA2EL3SA8AaM2QZXvk7GaocEKkRwIA6Mg4U4Ow6kg3ygIA7I1QA3RShMWWURuga7I81DQ0NGjFihVKTU1Vjx499NWvflVPP/20DMMw2xiGoZUrV2rgwIHq0aOHMjIy9OGHH/r0c+nSJWVnZys+Pl6JiYlasGCBLl++bPVwAQCATVgeatatW6eXXnpJP/nJT3Tu3DmtW7dOhYWF2rRpk9mmsLBQGzdu1JYtW3T06FH17NlTWVlZunr1qtkmOztbZ86ckcvl0u7du1VcXKxFixZZPVx0QlzSAgAEYnmoOXz4sGbOnKkZM2ZoyJAh+u53v6vMzEwdO3ZM0pdnaTZs2KAnn3xSM2fO1OjRo/WLX/xCFy9e1K5duyRJ586d0969e/Wzn/1MaWlpuv3227Vp0ya9/vrrunjxotVDBtAJEGQBtMbyp5+++c1v6pVXXtEf/vAHff3rX9d//dd/6b333tP69eslSefPn1dFRYUyMjLMdRISEpSWlqaSkhLNnTtXJSUlSkxM1Pjx4802GRkZioqK0tGjRzV79uxm23W73XK73eZ0bW2tJMnj8cjj8Vi6j97+rO433JzdvrwEaNW4nd2MVvsKZpsttfH27+xmyBn11zZN2/uPIZgx3ei4WhtnoGnvOqGud70xBHrd0vib1svbz/X68E6Pyt8nSfrgx3d9OT/q+jVvKlC9gh1DKN/b6+1/033vbP9Ppc57jOnsqHtk+Ne9LfV3GE1vdrFAY2Oj/vmf/1mFhYXq1q2bGhoa9Oyzz2r58uWSvjyTM2nSJF28eFEDBw4017v//vvlcDi0Y8cOrV69Wtu2bVN5eblP3/3791dBQYEWL17cbLv5+fkqKChoNr+oqEhxcXFW7iIAAAiTuro6zZs3TzU1NYqPjw9pXcvP1Pzyl7/U9u3bVVRUpJEjR6qsrExLlixRcnKy5s+fb/XmTMuXL1deXp45XVtbq5SUFGVmZoZclNZ4PB65XC5NmzZN0dHRlvYdTt7fvk/nZ1nWX2t9BbPNltp4+x+Vv0/OKENPj2/UtGnTdOuzB832/mMIZkw3Oq7Wxhlo2rtOqOtdbwyBXl9v2n8MwfTR9EyNy+XSihNRcjc6Wqx5U4HqFewY/NcJZv9a2w+r3u/tqbMeYzo76h4Z/nX3Xmm5EZaHmqVLl2rZsmWaO3euJOmWW27RJ598ojVr1mj+/PlKSkqSJFVWVvqcqamsrNTYsWMlSUlJSaqqqvLp99q1a7p06ZK5vj+n0ymn09lsfnR0dNjenOHsOxzcDQ5JsmzM7gZHq30Fs82W2nj79y73tmna3n8MwYzpRsfV2jgDTfuPPdj1rjeGQK+vNx2ofq310Wy7jQ6fZf7rNBWoXsGOIZTvbbD70Zn+j/rrbMcYu6DukeGte1tqb/mNwnV1dYqK8u22W7duamxslCSlpqYqKSlJBw4cMJfX1tbq6NGjSk9PlySlp6erurpapaWlZpuDBw+qsbFRaWlpVg8ZAADYgOVnau699149++yzGjRokEaOHKkPPvhA69ev18MPPyxJcjgcWrJkiZ555hl97WtfU2pqqlasWKHk5GTNmjVLkjR8+HDdfffdWrhwobZs2SKPx6Pc3FzNnTtXycnJVg8ZAADYgOWhZtOmTVqxYoV++MMfqqqqSsnJyfrHf/xHrVy50mzz+OOP68qVK1q0aJGqq6t1++23a+/evYqNjTXbbN++Xbm5uZo6daqioqI0Z84cbdy40erhAugErHqce8iyPfp47QxL+gLQ8Vgeanr16qUNGzZow4YNLbZxOBxatWqVVq1a1WKbPn36qKioyOrhAc3wgw4A7IG//QQAAGyBUAPcAD7dFgA6HkINYAFCDgBEnuX31ABoX50tUHW28QLoPDhTA7QTfpgDQHgRagAAgC0QagAAgC0QatAlDFm2h8s/AGBzhBqgAyKAAUDoCDWwJc7MAEDXQ6iB7RFuAKBrINQA6BAInwDailATRhykOye+b20TqfrxfQNAqEFA/IAAAHQ2hBoAAGAL/O0nABHB2UAAVuNMTYRxYIfE+wAArECoARBWBDYA7YVQAwAAbIFQAwAAbIFQAwAAbIFQAwAAbIFQA8By3BwMIBIINQA6Df76OoDrIdQAAABb4BOFAXRanLUB0BShBujihizbo4/Xzgh5nXAirAC4EVx+AmSfH6J22Q8AuBGEGgCdDuENQCCEGgAtGpW/L9JDAICgEWpsgkddAQBdXVhCzZ/+9Cf9/d//vfr27asePXrolltu0YkTJ8zlhmFo5cqVGjhwoHr06KGMjAx9+OGHPn1cunRJ2dnZio+PV2JiohYsWKDLly+HY7hoRwQvdDT8QgDYh+Wh5vPPP9ekSZMUHR2t3/72tzp79qz+5V/+Rb179zbbFBYWauPGjdqyZYuOHj2qnj17KisrS1evXjXbZGdn68yZM3K5XNq9e7eKi4u1aNEiq4cLAABswvJHutetW6eUlBS99tpr5rzU1FTztWEY2rBhg5588knNnDlTkvSLX/xCAwYM0K5duzR37lydO3dOe/fu1fHjxzV+/HhJ0qZNm3TPPffo+eefV3JystXDBgAAnZzloeY3v/mNsrKy9L3vfU+HDh3SV77yFf3whz/UwoULJUnnz59XRUWFMjIyzHUSEhKUlpamkpISzZ07VyUlJUpMTDQDjSRlZGQoKipKR48e1ezZs5tt1+12y+12m9O1tbWSJI/HI4/HY+k+evtrrV9nN8OSNsFwdjNaHVMwbUIZV7Btmm4z0Dotjcvb1tnNkDPqr22atvfvr+k6/u39xxGov5b6CLROoPn++9h02/77GEwfrfXtv3/X66Pp2If+ePf/tbn+Ot66B6q/lYb+eLc5lpb2JRiB9qOlmjed13TdjiDYYwysRd0jw7/ubam/wzAMS49QsbGxkqS8vDx973vf0/Hjx/Xoo49qy5Ytmj9/vg4fPqxJkybp4sWLGjhwoLne/fffL4fDoR07dmj16tXatm2bysvLffru37+/CgoKtHjx4mbbzc/PV0FBQbP5RUVFiouLs3IXAQBAmNTV1WnevHmqqalRfHx8SOtafqamsbFR48eP1+rVqyVJt956q06fPm2GmnBZvny58vLyzOna2lqlpKQoMzMz5KK0xuPxyOVyadq0aYqOjm6x3aj8fTqdn3XdvoJpEwzvo7fX6yuYNqGMK9g2TbcZaJ2mjw03XeZtOyp/n5xRhp4e36hp06bp1mcPmm39+2u6TtM2/v0HWu4/xkDzA233evvo/0h0oLEGatfS2P3X8W9zvf0I1Gdr63jrvuJElNyNjhbXD5fr1ae19td7f/i3abpuRxDsMQbWou6R4V9375WWG2F5qBk4cKBGjBjhM2/48OH61a9+JUlKSkqSJFVWVvqcqamsrNTYsWPNNlVVVT59XLt2TZcuXTLX9+d0OuV0OpvNj46ODtubs7W+3Q2OVrcdTJtguBsc5pja0iaUcQXbpuk2A63jbeM/Nm9b/+VN+/Tvz3+dQOv7j6ulMQaaH2i719vHpttuaf8CtWtp7P7r+Le53n4E6tPrayv2/9+rwH26Gx0tbi+crlef1tpf7/3h36bpuh1JOI9faBl1jwxv3dtSe8uffpo0aVKzy0Z/+MMfNHjwYElf3jSclJSkAwcOmMtra2t19OhRpaenS5LS09NVXV2t0tJSs83BgwfV2NiotLQ0q4eMCOJRWgCAVSw/U/PYY4/pm9/8plavXq37779fx44d0yuvvKJXXnlFkuRwOLRkyRI988wz+trXvqbU1FStWLFCycnJmjVrlqQvz+zcfffdWrhwobZs2SKPx6Pc3FzNnTuXJ5+ALoTQCyAUloea2267TTt37tTy5cu1atUqpaamasOGDcrOzjbbPP7447py5YoWLVqk6upq3X777dq7d695k7Ekbd++Xbm5uZo6daqioqI0Z84cbdy40erhAgAAm7A81EjSt7/9bX37299ucbnD4dCqVau0atWqFtv06dNHRUVF4Rge0Clx1gIAro+//QTAB+EJQGdFqOkE+CHzV/zV6Nbxt4y+RA2ArodQA8t0tR8ihAcA6FgINejSggklnTm4+I+9M+8LALSGUAMAAGyBUAMAAGwhLI90A+3B7pdSWtq/pvPtXgMACAVnatClEAIAwL44UwMgaB09FAYan3fex2tntPdwALQzztQAgDp+YAPQOkINbIcfTgDQNRFqgDAhXAFA+yLUAGFAoAGA9keoAQAAtsDTT7CFcJ8Z4cwLAHR8nKkBAAC2QKgBAAC2QKgBAAC2QKgBgCaGLNvDPVRAJ0WoAQLghxoAdD6EGgAAYAs80g2EqKWzOJzd6dj4/gD2x5kaAABgC4QadDn8xg4A9kSoQVgQHNBR8XQTYF/cU4NOz6ofUO35g44fqgBgPc7UAAAAWyDU2Bin2QEAXQmXn4B2RMgEgPDhTA0AALAFztSgw+FsBgDgRoT9TM3atWvlcDi0ZMkSc97Vq1eVk5Ojvn376qabbtKcOXNUWVnps96FCxc0Y8YMxcXFqX///lq6dKmuXbsW7uEC7Yr7ngDAOmENNcePH9fLL7+s0aNH+8x/7LHH9Oabb+qNN97QoUOHdPHiRd13333m8oaGBs2YMUP19fU6fPiwtm3bpq1bt2rlypXhHC5siMAAAF1H2ELN5cuXlZ2drX/9139V7969zfk1NTX6+c9/rvXr1+uuu+7SuHHj9Nprr+nw4cM6cuSIJGn//v06e/as/u3f/k1jx47V9OnT9fTTT2vz5s2qr68P15DRARFKAADBCts9NTk5OZoxY4YyMjL0zDPPmPNLS0vl8XiUkZFhzhs2bJgGDRqkkpISTZw4USUlJbrllls0YMAAs01WVpYWL16sM2fO6NZbb222PbfbLbfbbU7X1tZKkjwejzwej6X75u2vtX6d3YywtRmVv0+SdDo/y2zjPyb/eYHaWDmuptPe14HGEGiMXkN/vFvObgG2FWX4/Iv2Yfe6N32P+k9bfdwIRbDHGFiLukeGf93bUn+HYRiWH61ef/11Pfvsszp+/LhiY2M1efJkjR07Vhs2bFBRUZEeeughnwAiSRMmTNCUKVO0bt06LVq0SJ988on27dtnLq+rq1PPnj311ltvafr06c22mZ+fr4KCgmbzi4qKFBcXZ/UuAgCAMKirq9O8efNUU1Oj+Pj4kNa1/EzNp59+qkcffVQul0uxsbFWd9+i5cuXKy8vz5yura1VSkqKMjMzQy5Kazwej1wul6ZNm6bo6OgW243K32eeSbG6jf+ZGv/pYNsEu82WxtBSG+9r7za92w20TjCcUYaeHt+oFSei5G50BLUO2s7udW/pPep9HSnBHmNgLeoeGf51915puRGWh5rS0lJVVVXpG9/4hjmvoaFBxcXF+slPfqJ9+/apvr5e1dXVSkxMNNtUVlYqKSlJkpSUlKRjx4759Ot9Osrbxp/T6ZTT6Ww2Pzo6Omxvztb6djc4Wt32jbZxNzjMMQSaDrZNsNtsaQwttfG+9m7Tu91A64TC3egIeR20nV3r3tJ71Ps60sJ5/ELLqHtkeOveltpbfqPw1KlTderUKZWVlZlf48ePV3Z2tvk6OjpaBw4cMNcpLy/XhQsXlJ6eLklKT0/XqVOnVFVVZbZxuVyKj4/XiBEjrB4yAACwAcvP1PTq1UujRo3ymdezZ0/17dvXnL9gwQLl5eWpT58+io+P1yOPPKL09HRNnDhRkpSZmakRI0bowQcfVGFhoSoqKvTkk08qJycn4NkYAACAiHyi8AsvvKCoqCjNmTNHbrdbWVlZ+ulPf2ou79atm3bv3q3FixcrPT1dPXv21Pz587Vq1apIDBcAAHQC7RJq3nnnHZ/p2NhYbd68WZs3b25xncGDB+utt94K88is4f0slY/XzojwSAAA6Lr4g5YAuqxgPtyRD4AEOg9CTTvi4AgAQPgQagAAgC0QagAAgC0QagAAgC0QagAAgC0QagAAgC0QasBTWQAAWyDUAAAAWyDUAAAAWyDUICRDlu0J+nKVfzsucwEAwolQAwAAbIFQAwAAbIFQg4jhchQAwEqEGgD4PwRtoHMj1HRRHLwBAHZDqOlgCBtAxxPKU38AIodQAwAAbIFQg1bxGyoAoDMg1ABAkAj4QMdGqAEAALZAqEGbcAMl7Ir3NdD5EGoAAIAtdI/0ANA5teW3WH4DBgCEA6EGliKwAAAihctPkEQYAQB0foQaAABgC4QaAABgC4QaAABgC4QaWIJ7cgAAkUaoAQAAtmB5qFmzZo1uu+029erVS/3799esWbNUXl7u0+bq1avKyclR3759ddNNN2nOnDmqrKz0aXPhwgXNmDFDcXFx6t+/v5YuXapr165ZPVxb4CwJAABhCDWHDh1STk6Ojhw5IpfLJY/Ho8zMTF25csVs89hjj+nNN9/UG2+8oUOHDunixYu67777zOUNDQ2aMWOG6uvrdfjwYW3btk1bt27VypUrrR5ul0QIAgDYkeUfvrd3716f6a1bt6p///4qLS3VnXfeqZqaGv385z9XUVGR7rrrLknSa6+9puHDh+vIkSOaOHGi9u/fr7Nnz+p3v/udBgwYoLFjx+rpp5/WE088ofz8fMXExFg9bABohl8AgM4l7J8oXFNTI0nq06ePJKm0tFQej0cZGRlmm2HDhmnQoEEqKSnRxIkTVVJSoltuuUUDBgww22RlZWnx4sU6c+aMbr311mbbcbvdcrvd5nRtba0kyePxyOPxWLpP3v68/zq7GT7TXs5uhs88/+kbbeO/Te9r/zH4j6tpu9bG33SbLW2rPTmjDJ9/0T6oe3NN/5+Myt+n0/lZYduG1ccuXB91jwz/urel/g7DMMJ2tGpsbNR3vvMdVVdX67333pMkFRUV6aGHHvIJIJI0YcIETZkyRevWrdOiRYv0ySefaN++febyuro69ezZU2+99ZamT5/ebFv5+fkqKChoNr+oqEhxcXEW7xkAAAiHuro6zZs3TzU1NYqPjw9p3bCeqcnJydHp06fNQBNOy5cvV15enjldW1urlJQUZWZmhlyU1ng8HrlcLk2bNk3R0dEalf9l+PL/jc3/t7hAv9XdSBvvPO82va/9x+A/v+l007aBxt90my1tqz05oww9Pb5RK05Eyd3oiMgYuiLq3lyg/yctHQNulP8xBu2DukeGf929V1puRNhCTW5urnbv3q3i4mLdfPPN5vykpCTV19erurpaiYmJ5vzKykolJSWZbY4dO+bTn/fpKG8bf06nU06ns9n86OjosL05vX27GxzmdFPuBofPPP/pG23jnefdpve1/xj85zedbto20PibbrOlbUWCu9ER8TF0RdT9rwL9P2npGGDFtvjh2v6oe2R4696W2lv+9JNhGMrNzdXOnTt18OBBpaam+iwfN26coqOjdeDAAXNeeXm5Lly4oPT0dElSenq6Tp06paqqKrONy+VSfHy8RowYYfWQuwRueAQA2J3lZ2pycnJUVFSkX//61+rVq5cqKiokSQkJCerRo4cSEhK0YMEC5eXlqU+fPoqPj9cjjzyi9PR0TZw4UZKUmZmpESNG6MEHH1RhYaEqKir05JNPKicnJ+DZGAAAAMtDzUsvvSRJmjx5ss/81157Tf/wD/8gSXrhhRcUFRWlOXPmyO12KysrSz/96U/Ntt26ddPu3bu1ePFipaenq2fPnpo/f75WrVpl9XABAIBNWB5qgnmYKjY2Vps3b9bmzZtbbDN48GC99dZbVg4NAADYGH/7CUHjvhzg+vg/AkQWoQYAQkBwATqusH+iMDovDt4AgM6EMzUAAMAWOFMDACHiLCbQMXGmppMYsmxP0AfSGz3ghrINAAA6GkINAACwBUJNBxeJMyecrQEAdEaEGgAAYAvcKBwB3jMhH6+d0SHGAQCAHXCmpgMIR7ggsADtg/9rQMdBqOnkOKACHQ9PEgKRQaixGQ6kAICuilADAABsgVBjMc6UAAAQGYSaTojgBABAczzS3QERWgAACB1naiKI8ALYT2v/r/l/D4QPoSbMrD6AcUAEACAwLj91EIQVAADahjM1AADAFgg1bRTqGRbOyABdC//ngfbD5ad2wEENAIDw40wNAIQJv9AA7YtQ0waj8vf5THMAAwAgcrj8FAaEGwAA2h9nagAAgC0QagAAgC0QagAgzIYs29PssnSgeQDahlADAO0k1BDj/zACgOsj1AAAAFvo0KFm8+bNGjJkiGJjY5WWlqZjx45FekgAAKCD6rChZseOHcrLy9NTTz2l999/X2PGjFFWVpaqqqoiPTQAaJOW7q/xzueyE3BjOmyoWb9+vRYuXKiHHnpII0aM0JYtWxQXF6dXX3010kMDAMu0dp9NSzcZA2iuQ374Xn19vUpLS7V8+XJzXlRUlDIyMlRSUhJwHbfbLbfbbU7X1NRIki5duiSPx2Pp+Dwej+rq6tTdE6WGRoelfSOw7o2G6uoaqXk7o+7t7+/+3y/ljGpe97/7f78023SX9Oc//1mSlLbmgI4un2q+lmROezVtg5Z5j+1//vOfFR0dHenhdBn+df/iiy8kSYZhhN6Z0QH96U9/MiQZhw8f9pm/dOlSY8KECQHXeeqppwxJfPHFF1988cWXDb4+/fTTkPNDhzxTcyOWL1+uvLw8c7qxsVGXLl1S37595XBY+xtmbW2tUlJS9Omnnyo+Pt7SvhEYNY8M6h4Z1D0yqHtk+NfdMAx98cUXSk5ODrmvDhlq+vXrp27duqmystJnfmVlpZKSkgKu43Q65XQ6feYlJiaGa4iSpPj4eN747YyaRwZ1jwzqHhnUPTKa1j0hIeGG+uiQNwrHxMRo3LhxOnDggDmvsbFRBw4cUHp6egRHBgAAOqoOeaZGkvLy8jR//nyNHz9eEyZM0IYNG3TlyhU99NBDkR4aAADogDpsqHnggQf0P//zP1q5cqUqKio0duxY7d27VwMGDIj00OR0OvXUU081u9yF8KHmkUHdI4O6RwZ1jwwr6+4wjBt5ZgoAAKBj6ZD31AAAAISKUAMAAGyBUAMAAGyBUAMAAGyBUBOizZs3a8iQIYqNjVVaWpqOHTsW6SHZSnFxse69914lJyfL4XBo165dPssNw9DKlSs1cOBA9ejRQxkZGfrwww8jM1gbWbNmjW677Tb16tVL/fv316xZs1ReXu7T5urVq8rJyVHfvn110003ac6cOc0+IBOheemllzR69GjzQ8fS09P129/+1lxOzcNv7dq1cjgcWrJkiTmPuodHfn6+HA6Hz9ewYcPM5VbUnVATgh07digvL09PPfWU3n//fY0ZM0ZZWVmqqqqK9NBs48qVKxozZow2b94ccHlhYaE2btyoLVu26OjRo+rZs6eysrJ09erVdh6pvRw6dEg5OTk6cuSIXC6XPB6PMjMzdeXKFbPNY489pjfffFNvvPGGDh06pIsXL+q+++6L4Kg7v5tvvllr165VaWmpTpw4obvuukszZ87UmTNnJFHzcDt+/LhefvlljR492mc+dQ+fkSNH6rPPPjO/3nvvPXOZJXUP+a9FdWETJkwwcnJyzOmGhgYjOTnZWLNmTQRHZV+SjJ07d5rTjY2NRlJSkvHcc8+Z86qrqw2n02n8+7//ewRGaF9VVVWGJOPQoUOGYXxZ5+joaOONN94w25w7d86QZJSUlERqmLbUu3dv42c/+xk1D7MvvvjC+NrXvma4XC7jW9/6lvHoo48ahsF7PZyeeuopY8yYMQGXWVV3ztQEqb6+XqWlpcrIyDDnRUVFKSMjQyUlJREcWddx/vx5VVRU+HwPEhISlJaWxvfAYjU1NZKkPn36SJJKS0vl8Xh8aj9s2DANGjSI2lukoaFBr7/+uq5cuaL09HRqHmY5OTmaMWOGT30l3uvh9uGHHyo5OVl/+7d/q+zsbF24cEGSdXXvsJ8o3NH87//+rxoaGpp9ovGAAQP03//93xEaVddSUVEhSQG/B95laLvGxkYtWbJEkyZN0qhRoyR9WfuYmJhmfySW2rfdqVOnlJ6erqtXr+qmm27Szp07NWLECJWVlVHzMHn99df1/vvv6/jx482W8V4Pn7S0NG3dulVDhw7VZ599poKCAt1xxx06ffq0ZXUn1ADwkZOTo9OnT/tc60b4DB06VGVlZaqpqdF//Md/aP78+Tp06FCkh2Vbn376qR599FG5XC7FxsZGejhdyvTp083Xo0ePVlpamgYPHqxf/vKX6tGjhyXb4PJTkPr166du3bo1uxO7srJSSUlJERpV1+KtM9+D8MnNzdXu3bv19ttv6+abbzbnJyUlqb6+XtXV1T7tqX3bxcTE6O/+7u80btw4rVmzRmPGjNGLL75IzcOktLRUVVVV+sY3vqHu3bure/fuOnTokDZu3Kju3btrwIAB1L2dJCYm6utf/7o++ugjy97vhJogxcTEaNy4cTpw4IA5r7GxUQcOHFB6enoER9Z1pKamKikpyed7UFtbq6NHj/I9aCPDMJSbm6udO3fq4MGDSk1N9Vk+btw4RUdH+9S+vLxcFy5coPYWa2xslNvtpuZhMnXqVJ06dUplZWXm1/jx45WdnW2+pu7t4/Lly/rjH/+ogQMHWvd+b+PNzF3K66+/bjidTmPr1q3G2bNnjUWLFhmJiYlGRUVFpIdmG1988YXxwQcfGB988IEhyVi/fr3xwQcfGJ988olhGIaxdu1aIzEx0fj1r39tnDx50pg5c6aRmppq/OUvf4nwyDu3xYsXGwkJCcY777xjfPbZZ+ZXXV2d2eYHP/iBMWjQIOPgwYPGiRMnjPT0dCM9PT2Co+78li1bZhw6dMg4f/68cfLkSWPZsmWGw+Ew9u/fbxgGNW8vTZ9+MgzqHi4/+tGPjHfeecc4f/688fvf/97IyMgw+vXrZ1RVVRmGYU3dCTUh2rRpkzFo0CAjJibGmDBhgnHkyJFID8lW3n77bUNSs6/58+cbhvHlY90rVqwwBgwYYDidTmPq1KlGeXl5ZAdtA4FqLsl47bXXzDZ/+ctfjB/+8IdG7969jbi4OGP27NnGZ599FrlB28DDDz9sDB482IiJiTH+5m/+xpg6daoZaAyDmrcX/1BD3cPjgQceMAYOHGjExMQYX/nKV4wHHnjA+Oijj8zlVtTdYRiGYdGZJAAAgIjhnhoAAGALhBoAAGALhBoAAGALhBoAAGALhBoAAGALhBoAAGALhBoAAGALhBoAAGALhBoAAGALhBoAAGALhBoAAGALhBoAAGAL/x9vc0gtNV2uTAAAAABJRU5ErkJggg==", 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", "text/plain": [ "
" ] @@ -2261,7 +2405,14 @@ { "cell_type": "code", "execution_count": 33, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:32.390185Z", + "iopub.status.busy": "2024-08-16T20:36:32.389813Z", + "iopub.status.idle": "2024-08-16T20:36:32.511313Z", + "shell.execute_reply": "2024-08-16T20:36:32.510730Z" + } + }, "outputs": [ { "data": { @@ -2294,48 +2445,48 @@ " \n", " \n", " \n", - " 12\n", - " CRWA-4LONG\n", - " 28.2\n", + " 0\n", + " CRWA-ROB\n", + " 23.01\n", " deg C\n", " NaN\n", - " 28.2 degree_Celsius\n", + " 23.01 degree_Celsius\n", " degC\n", " \n", " \n", - " 18\n", - " 11113300-BCHHSPHAMLF\n", - " 15\n", + " 8\n", + " CRWA-635S\n", + " 5.5\n", " deg C\n", " NaN\n", - " 15.0 degree_Celsius\n", + " 5.5 degree_Celsius\n", " degC\n", " \n", " \n", - " 19\n", - " MASSDEP-W0762\n", - " 23.7\n", + " 15\n", + " CRWA-4LONG\n", + " 28.2\n", " deg C\n", " NaN\n", - " 23.7 degree_Celsius\n", + " 28.2 degree_Celsius\n", " degC\n", " \n", " \n", - " 26\n", - " 11NPSWRD_WQX-NETN_MIMA_29\n", - " 11.56\n", + " 22\n", + " BRC-C-02-03-040\n", + " 15\n", " deg C\n", " NaN\n", - " 11.56 degree_Celsius\n", + " 15.0 degree_Celsius\n", " degC\n", " \n", " \n", - " 27\n", - " CRWA-675S\n", - " 17.3\n", + " 26\n", + " 11113300-BCHHSPHAMLF\n", + " 15\n", " deg C\n", " NaN\n", - " 17.3 degree_Celsius\n", + " 15.0 degree_Celsius\n", " degC\n", " \n", " \n", @@ -2348,7 +2499,7 @@ " ...\n", " \n", " \n", - " 413433\n", + " 416594\n", " USGS-413831070304703\n", " 11.3\n", " deg C\n", @@ -2357,7 +2508,7 @@ " degC\n", " \n", " \n", - " 413435\n", + " 416596\n", " USGS-01100627\n", " 7.0\n", " deg C\n", @@ -2366,7 +2517,7 @@ " degC\n", " \n", " \n", - " 413439\n", + " 416600\n", " USGS-01096548\n", " 2.9\n", " deg C\n", @@ -2375,7 +2526,7 @@ " degC\n", " \n", " \n", - " 413443\n", + " 416604\n", " USGS-01098530\n", " 1.5\n", " deg C\n", @@ -2384,7 +2535,7 @@ " degC\n", " \n", " \n", - " 413447\n", + " 416608\n", " USGS-01097050\n", " 3.9\n", " deg C\n", @@ -2394,37 +2545,37 @@ " \n", " \n", "\n", - "

119129 rows × 6 columns

\n", + "

119955 rows × 6 columns

\n", "" ], "text/plain": [ " MonitoringLocationIdentifier ResultMeasureValue \\\n", - "12 CRWA-4LONG 28.2 \n", - "18 11113300-BCHHSPHAMLF 15 \n", - "19 MASSDEP-W0762 23.7 \n", - "26 11NPSWRD_WQX-NETN_MIMA_29 11.56 \n", - "27 CRWA-675S 17.3 \n", + "0 CRWA-ROB 23.01 \n", + "8 CRWA-635S 5.5 \n", + "15 CRWA-4LONG 28.2 \n", + "22 BRC-C-02-03-040 15 \n", + "26 11113300-BCHHSPHAMLF 15 \n", "... ... ... \n", - "413433 USGS-413831070304703 11.3 \n", - "413435 USGS-01100627 7.0 \n", - "413439 USGS-01096548 2.9 \n", - "413443 USGS-01098530 1.5 \n", - "413447 USGS-01097050 3.9 \n", + "416594 USGS-413831070304703 11.3 \n", + "416596 USGS-01100627 7.0 \n", + "416600 USGS-01096548 2.9 \n", + "416604 USGS-01098530 1.5 \n", + "416608 USGS-01097050 3.9 \n", "\n", " ResultMeasure/MeasureUnitCode QA_flag Temperature Units \n", - "12 deg C NaN 28.2 degree_Celsius degC \n", - "18 deg C NaN 15.0 degree_Celsius degC \n", - "19 deg C NaN 23.7 degree_Celsius degC \n", - "26 deg C NaN 11.56 degree_Celsius degC \n", - "27 deg C NaN 17.3 degree_Celsius degC \n", + "0 deg C NaN 23.01 degree_Celsius degC \n", + "8 deg C NaN 5.5 degree_Celsius degC \n", + "15 deg C NaN 28.2 degree_Celsius degC \n", + "22 deg C NaN 15.0 degree_Celsius degC \n", + "26 deg C NaN 15.0 degree_Celsius degC \n", "... ... ... ... ... \n", - "413433 deg C NaN 11.3 degree_Celsius degC \n", - "413435 deg C NaN 7.0 degree_Celsius degC \n", - "413439 deg C NaN 2.9 degree_Celsius degC \n", - "413443 deg C NaN 1.5 degree_Celsius degC \n", - "413447 deg C NaN 3.9 degree_Celsius degC \n", + "416594 deg C NaN 11.3 degree_Celsius degC \n", + "416596 deg C NaN 7.0 degree_Celsius degC \n", + "416600 deg C NaN 2.9 degree_Celsius degC \n", + "416604 deg C NaN 1.5 degree_Celsius degC \n", + "416608 deg C NaN 3.9 degree_Celsius degC \n", "\n", - "[119129 rows x 6 columns]" + "[119955 rows x 6 columns]" ] }, "execution_count": 33, @@ -2442,7 +2593,14 @@ { "cell_type": "code", "execution_count": 34, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:32.513599Z", + "iopub.status.busy": "2024-08-16T20:36:32.513168Z", + "iopub.status.idle": "2024-08-16T20:36:32.542950Z", + "shell.execute_reply": "2024-08-16T20:36:32.542385Z" + } + }, "outputs": [ { "data": { @@ -2475,7 +2633,7 @@ " \n", " \n", " \n", - " 15771\n", + " 16228\n", " NALMS-F865245\n", " 81\n", " deg F\n", @@ -2484,7 +2642,7 @@ " degF\n", " \n", " \n", - " 22382\n", + " 22987\n", " 11113300-HOODERD\n", " 59.2\n", " deg F\n", @@ -2493,7 +2651,7 @@ " degF\n", " \n", " \n", - " 22710\n", + " 23336\n", " 11113300-HOODERD\n", " 59.1\n", " deg F\n", @@ -2502,7 +2660,7 @@ " degF\n", " \n", " \n", - " 22994\n", + " 23626\n", " 11113300-HOODERD\n", " 59.9\n", " deg F\n", @@ -2511,7 +2669,7 @@ " degF\n", " \n", " \n", - " 23434\n", + " 24108\n", " 11113300-HOODERD\n", " 56\n", " deg F\n", @@ -2529,7 +2687,7 @@ " ...\n", " \n", " \n", - " 409274\n", + " 412393\n", " 11NPSWRD_WQX-SAIR_MEQ76_NC6\n", " 70.0\n", " deg F\n", @@ -2538,7 +2696,7 @@ " degF\n", " \n", " \n", - " 409283\n", + " 412399\n", " 11NPSWRD_WQX-SAMA_MEQ76_NC18\n", " 71.0\n", " deg F\n", @@ -2547,7 +2705,7 @@ " degF\n", " \n", " \n", - " 409289\n", + " 412402\n", " 11NPSWRD_WQX-SAMA_MEQ76_NC13\n", " 72.0\n", " deg F\n", @@ -2556,7 +2714,7 @@ " degF\n", " \n", " \n", - " 409300\n", + " 412417\n", " 11NPSWRD_WQX-SAIR_MEQ76_NC3\n", " 70.0\n", " deg F\n", @@ -2565,7 +2723,7 @@ " degF\n", " \n", " \n", - " 409301\n", + " 412418\n", " 11NPSWRD_WQX-SAMA_MEQ76_SB05\n", " 60.0\n", " deg F\n", @@ -2580,43 +2738,43 @@ ], "text/plain": [ " MonitoringLocationIdentifier ResultMeasureValue \\\n", - "15771 NALMS-F865245 81 \n", - "22382 11113300-HOODERD 59.2 \n", - "22710 11113300-HOODERD 59.1 \n", - "22994 11113300-HOODERD 59.9 \n", - "23434 11113300-HOODERD 56 \n", + "16228 NALMS-F865245 81 \n", + "22987 11113300-HOODERD 59.2 \n", + "23336 11113300-HOODERD 59.1 \n", + "23626 11113300-HOODERD 59.9 \n", + "24108 11113300-HOODERD 56 \n", "... ... ... \n", - "409274 11NPSWRD_WQX-SAIR_MEQ76_NC6 70.0 \n", - "409283 11NPSWRD_WQX-SAMA_MEQ76_NC18 71.0 \n", - "409289 11NPSWRD_WQX-SAMA_MEQ76_NC13 72.0 \n", - "409300 11NPSWRD_WQX-SAIR_MEQ76_NC3 70.0 \n", - "409301 11NPSWRD_WQX-SAMA_MEQ76_SB05 60.0 \n", + "412393 11NPSWRD_WQX-SAIR_MEQ76_NC6 70.0 \n", + "412399 11NPSWRD_WQX-SAMA_MEQ76_NC18 71.0 \n", + "412402 11NPSWRD_WQX-SAMA_MEQ76_NC13 72.0 \n", + "412417 11NPSWRD_WQX-SAIR_MEQ76_NC3 70.0 \n", + "412418 11NPSWRD_WQX-SAMA_MEQ76_SB05 60.0 \n", "\n", " ResultMeasure/MeasureUnitCode QA_flag \\\n", - "15771 deg F NaN \n", - "22382 deg F NaN \n", - "22710 deg F NaN \n", - "22994 deg F NaN \n", - "23434 deg F NaN \n", + "16228 deg F NaN \n", + "22987 deg F NaN \n", + "23336 deg F NaN \n", + "23626 deg F NaN \n", + "24108 deg F NaN \n", "... ... ... \n", - "409274 deg F NaN \n", - "409283 deg F NaN \n", - "409289 deg F NaN \n", - "409300 deg F NaN \n", - "409301 deg F NaN \n", + "412393 deg F NaN \n", + "412399 deg F NaN \n", + "412402 deg F NaN \n", + "412417 deg F NaN \n", + "412418 deg F NaN \n", "\n", " Temperature Units \n", - "15771 27.222222222222285 degree_Celsius degF \n", - "22382 15.111111111111143 degree_Celsius degF \n", - "22710 15.0555555555556 degree_Celsius degF \n", - "22994 15.500000000000057 degree_Celsius degF \n", - "23434 13.333333333333371 degree_Celsius degF \n", + "16228 27.222222222222285 degree_Celsius degF \n", + "22987 15.111111111111143 degree_Celsius degF \n", + "23336 15.0555555555556 degree_Celsius degF \n", + "23626 15.500000000000057 degree_Celsius degF \n", + "24108 13.333333333333371 degree_Celsius degF \n", "... ... ... \n", - "409274 21.111111111111143 degree_Celsius degF \n", - "409283 21.666666666666686 degree_Celsius degF \n", - "409289 22.222222222222285 degree_Celsius degF \n", - "409300 21.111111111111143 degree_Celsius degF \n", - "409301 15.5555555555556 degree_Celsius degF \n", + "412393 21.111111111111143 degree_Celsius degF \n", + "412399 21.666666666666686 degree_Celsius degF \n", + "412402 22.222222222222285 degree_Celsius degF \n", + "412417 21.111111111111143 degree_Celsius degF \n", + "412418 15.5555555555556 degree_Celsius degF \n", "\n", "[695 rows x 6 columns]" ] @@ -2641,7 +2799,14 @@ { "cell_type": "code", "execution_count": 35, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:32.545098Z", + "iopub.status.busy": "2024-08-16T20:36:32.544921Z", + "iopub.status.idle": "2024-08-16T20:36:32.564809Z", + "shell.execute_reply": "2024-08-16T20:36:32.564218Z" + } + }, "outputs": [ { "data": { @@ -2674,7 +2839,7 @@ " \n", " \n", " \n", - " 98296\n", + " 100462\n", " AQUINNAH-MEN TXCO\n", " 0\n", " NaN\n", @@ -2683,7 +2848,7 @@ " degC\n", " \n", " \n", - " 98297\n", + " 100463\n", " AQUINNAH-MEN TXCO\n", " 0\n", " NaN\n", @@ -2692,7 +2857,7 @@ " degC\n", " \n", " \n", - " 98298\n", + " 100464\n", " AQUINNAH-MEN TXCO\n", " 0\n", " NaN\n", @@ -2701,7 +2866,7 @@ " degC\n", " \n", " \n", - " 98299\n", + " 100465\n", " AQUINNAH-MEN TXCO\n", " 0\n", " NaN\n", @@ -2710,7 +2875,7 @@ " degC\n", " \n", " \n", - " 98300\n", + " 100466\n", " AQUINNAH-MEN TXCO\n", " 0\n", " NaN\n", @@ -2728,7 +2893,7 @@ " ...\n", " \n", " \n", - " 99638\n", + " 101804\n", " AQUINNAH-MEN PND Q\n", " 0\n", " NaN\n", @@ -2737,7 +2902,7 @@ " degC\n", " \n", " \n", - " 99639\n", + " 101805\n", " AQUINNAH-MEN PND Q\n", " 0\n", " NaN\n", @@ -2746,7 +2911,7 @@ " degC\n", " \n", " \n", - " 99641\n", + " 101807\n", " AQUINNAH-MEN PND Q\n", " 0\n", " NaN\n", @@ -2755,7 +2920,7 @@ " degC\n", " \n", " \n", - " 142918\n", + " 123718\n", " AQUINNAH-MEN PND HC\n", " 0\n", " NaN\n", @@ -2764,7 +2929,7 @@ " degC\n", " \n", " \n", - " 376432\n", + " 379548\n", " USGS-414654070002901\n", " NaN\n", " NaN\n", @@ -2779,56 +2944,56 @@ ], "text/plain": [ " MonitoringLocationIdentifier ResultMeasureValue \\\n", - "98296 AQUINNAH-MEN TXCO 0 \n", - "98297 AQUINNAH-MEN TXCO 0 \n", - "98298 AQUINNAH-MEN TXCO 0 \n", - "98299 AQUINNAH-MEN TXCO 0 \n", - "98300 AQUINNAH-MEN TXCO 0 \n", + "100462 AQUINNAH-MEN TXCO 0 \n", + "100463 AQUINNAH-MEN TXCO 0 \n", + "100464 AQUINNAH-MEN TXCO 0 \n", + "100465 AQUINNAH-MEN TXCO 0 \n", + "100466 AQUINNAH-MEN TXCO 0 \n", "... ... ... \n", - "99638 AQUINNAH-MEN PND Q 0 \n", - "99639 AQUINNAH-MEN PND Q 0 \n", - "99641 AQUINNAH-MEN PND Q 0 \n", - "142918 AQUINNAH-MEN PND HC 0 \n", - "376432 USGS-414654070002901 NaN \n", + "101804 AQUINNAH-MEN PND Q 0 \n", + "101805 AQUINNAH-MEN PND Q 0 \n", + "101807 AQUINNAH-MEN PND Q 0 \n", + "123718 AQUINNAH-MEN PND HC 0 \n", + "379548 USGS-414654070002901 NaN \n", "\n", " ResultMeasure/MeasureUnitCode \\\n", - "98296 NaN \n", - "98297 NaN \n", - "98298 NaN \n", - "98299 NaN \n", - "98300 NaN \n", + "100462 NaN \n", + "100463 NaN \n", + "100464 NaN \n", + "100465 NaN \n", + "100466 NaN \n", "... ... \n", - "99638 NaN \n", - "99639 NaN \n", - "99641 NaN \n", - "142918 NaN \n", - "376432 NaN \n", + "101804 NaN \n", + "101805 NaN \n", + "101807 NaN \n", + "123718 NaN \n", + "379548 NaN \n", "\n", " QA_flag Temperature \\\n", - "98296 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... 0.0 degree_Celsius \n", - "98297 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... 0.0 degree_Celsius \n", - "98298 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... 0.0 degree_Celsius \n", - "98299 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... 0.0 degree_Celsius \n", - "98300 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... 0.0 degree_Celsius \n", + "100462 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... 0.0 degree_Celsius \n", + "100463 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... 0.0 degree_Celsius \n", + "100464 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... 0.0 degree_Celsius \n", + "100465 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... 0.0 degree_Celsius \n", + "100466 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... 0.0 degree_Celsius \n", "... ... ... \n", - "99638 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... 0.0 degree_Celsius \n", - "99639 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... 0.0 degree_Celsius \n", - "99641 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... 0.0 degree_Celsius \n", - "142918 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... 0.0 degree_Celsius \n", - "376432 ResultMeasureValue: missing (NaN) result; Resu... NaN \n", + "101804 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... 0.0 degree_Celsius \n", + "101805 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... 0.0 degree_Celsius \n", + "101807 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... 0.0 degree_Celsius \n", + "123718 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... 0.0 degree_Celsius \n", + "379548 ResultMeasureValue: missing (NaN) result; Resu... NaN \n", "\n", " Units \n", - "98296 degC \n", - "98297 degC \n", - "98298 degC \n", - "98299 degC \n", - "98300 degC \n", + "100462 degC \n", + "100463 degC \n", + "100464 degC \n", + "100465 degC \n", + "100466 degC \n", "... ... \n", - "99638 degC \n", - "99639 degC \n", - "99641 degC \n", - "142918 degC \n", - "376432 degC \n", + "101804 degC \n", + "101805 degC \n", + "101807 degC \n", + "123718 degC \n", + "379548 degC \n", "\n", "[218 rows x 6 columns]" ] @@ -2853,7 +3018,14 @@ { "cell_type": "code", "execution_count": 36, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:32.567032Z", + "iopub.status.busy": "2024-08-16T20:36:32.566688Z", + "iopub.status.idle": "2024-08-16T20:36:32.581815Z", + "shell.execute_reply": "2024-08-16T20:36:32.581216Z" + } + }, "outputs": [ { "data": { @@ -2874,7 +3046,14 @@ { "cell_type": "code", "execution_count": 37, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:32.583891Z", + "iopub.status.busy": "2024-08-16T20:36:32.583717Z", + "iopub.status.idle": "2024-08-16T20:36:32.607081Z", + "shell.execute_reply": "2024-08-16T20:36:32.606605Z" + } + }, "outputs": [ { "data": { @@ -2907,7 +3086,7 @@ " \n", " \n", " \n", - " 251\n", + " 269\n", " MERRIMACK_RIVER_WATERSHED_WQX-Hayden-Schofield\n", " 8\n", " count\n", @@ -2916,7 +3095,7 @@ " count\n", " \n", " \n", - " 2860\n", + " 2958\n", " MERRIMACK_RIVER_WATERSHED_WQX-Manchester\n", " 8\n", " count\n", @@ -2925,7 +3104,7 @@ " count\n", " \n", " \n", - " 3393\n", + " 3439\n", " MERRIMACK_RIVER_WATERSHED_WQX-Nina-Scarito\n", " 8\n", " count\n", @@ -2934,7 +3113,7 @@ " count\n", " \n", " \n", - " 4137\n", + " 4263\n", " MERRIMACK_RIVER_WATERSHED_WQX-Misserville\n", " 8\n", " count\n", @@ -2943,7 +3122,7 @@ " count\n", " \n", " \n", - " 4445\n", + " 4561\n", " MERRIMACK_RIVER_WATERSHED_WQX-Ferrous\n", " 8\n", " count\n", @@ -2961,7 +3140,7 @@ " ...\n", " \n", " \n", - " 244467\n", + " 247574\n", " 11NPSWRD_WQX-SAIR_SWC_SR3\n", " NaN\n", " deg C\n", @@ -2970,7 +3149,7 @@ " degC\n", " \n", " \n", - " 259810\n", + " 262934\n", " 11NPSWRD_WQX-SAIR_SWC_SR6\n", " NaN\n", " deg C\n", @@ -2979,7 +3158,7 @@ " degC\n", " \n", " \n", - " 261067\n", + " 264182\n", " 11NPSWRD_WQX-SAIR_SWC_SR7\n", " NaN\n", " deg C\n", @@ -2988,7 +3167,7 @@ " degC\n", " \n", " \n", - " 265540\n", + " 268663\n", " 11NPSWRD_WQX-SAIR_SWC_SRT9\n", " NaN\n", " deg C\n", @@ -2997,7 +3176,7 @@ " degC\n", " \n", " \n", - " 376432\n", + " 379548\n", " USGS-414654070002901\n", " NaN\n", " NaN\n", @@ -3012,43 +3191,43 @@ ], "text/plain": [ " MonitoringLocationIdentifier ResultMeasureValue \\\n", - "251 MERRIMACK_RIVER_WATERSHED_WQX-Hayden-Schofield 8 \n", - "2860 MERRIMACK_RIVER_WATERSHED_WQX-Manchester 8 \n", - "3393 MERRIMACK_RIVER_WATERSHED_WQX-Nina-Scarito 8 \n", - "4137 MERRIMACK_RIVER_WATERSHED_WQX-Misserville 8 \n", - "4445 MERRIMACK_RIVER_WATERSHED_WQX-Ferrous 8 \n", + "269 MERRIMACK_RIVER_WATERSHED_WQX-Hayden-Schofield 8 \n", + "2958 MERRIMACK_RIVER_WATERSHED_WQX-Manchester 8 \n", + "3439 MERRIMACK_RIVER_WATERSHED_WQX-Nina-Scarito 8 \n", + "4263 MERRIMACK_RIVER_WATERSHED_WQX-Misserville 8 \n", + "4561 MERRIMACK_RIVER_WATERSHED_WQX-Ferrous 8 \n", "... ... ... \n", - "244467 11NPSWRD_WQX-SAIR_SWC_SR3 NaN \n", - "259810 11NPSWRD_WQX-SAIR_SWC_SR6 NaN \n", - "261067 11NPSWRD_WQX-SAIR_SWC_SR7 NaN \n", - "265540 11NPSWRD_WQX-SAIR_SWC_SRT9 NaN \n", - "376432 USGS-414654070002901 NaN \n", + "247574 11NPSWRD_WQX-SAIR_SWC_SR3 NaN \n", + "262934 11NPSWRD_WQX-SAIR_SWC_SR6 NaN \n", + "264182 11NPSWRD_WQX-SAIR_SWC_SR7 NaN \n", + "268663 11NPSWRD_WQX-SAIR_SWC_SRT9 NaN \n", + "379548 USGS-414654070002901 NaN \n", "\n", " ResultMeasure/MeasureUnitCode \\\n", - "251 count \n", - "2860 count \n", - "3393 count \n", - "4137 count \n", - "4445 count \n", + "269 count \n", + "2958 count \n", + "3439 count \n", + "4263 count \n", + "4561 count \n", "... ... \n", - "244467 deg C \n", - "259810 deg C \n", - "261067 deg C \n", - "265540 deg C \n", - "376432 NaN \n", + "247574 deg C \n", + "262934 deg C \n", + "264182 deg C \n", + "268663 deg C \n", + "379548 NaN \n", "\n", " QA_flag Temperature Units \n", - "251 NaN NaN count \n", - "2860 NaN NaN count \n", - "3393 NaN NaN count \n", - "4137 NaN NaN count \n", - "4445 NaN NaN count \n", + "269 NaN NaN count \n", + "2958 NaN NaN count \n", + "3439 NaN NaN count \n", + "4263 NaN NaN count \n", + "4561 NaN NaN count \n", "... ... ... ... \n", - "244467 ResultMeasureValue: missing (NaN) result NaN degC \n", - "259810 ResultMeasureValue: missing (NaN) result NaN degC \n", - "261067 ResultMeasureValue: missing (NaN) result NaN degC \n", - "265540 ResultMeasureValue: missing (NaN) result NaN degC \n", - "376432 ResultMeasureValue: missing (NaN) result; Resu... NaN degC \n", + "247574 ResultMeasureValue: missing (NaN) result NaN degC \n", + "262934 ResultMeasureValue: missing (NaN) result NaN degC \n", + "264182 ResultMeasureValue: missing (NaN) result NaN degC \n", + "268663 ResultMeasureValue: missing (NaN) result NaN degC \n", + "379548 ResultMeasureValue: missing (NaN) result; Resu... NaN degC \n", "\n", "[213 rows x 6 columns]" ] @@ -3066,7 +3245,14 @@ { "cell_type": "code", "execution_count": 38, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:32.609037Z", + "iopub.status.busy": "2024-08-16T20:36:32.608858Z", + "iopub.status.idle": "2024-08-16T20:36:32.689433Z", + "shell.execute_reply": "2024-08-16T20:36:32.688875Z" + } + }, "outputs": [ { "data": { @@ -3132,38 +3318,38 @@ " ...\n", " \n", " \n", - " 5916\n", + " 5928\n", " WWMD_VA-WWE1149PI\n", " 1\n", " 18.800000\n", " \n", " \n", - " 5917\n", + " 5929\n", " WWMD_VA-WWE1150PI\n", " 1\n", " 21.300000\n", " \n", " \n", - " 5918\n", + " 5930\n", " WWMD_VA-WWE1151PI\n", " 2\n", " 20.700000\n", " \n", " \n", - " 5919\n", + " 5931\n", " WWMD_VA-WWE1152PI\n", " 1\n", " 20.000000\n", " \n", " \n", - " 5920\n", + " 5932\n", " WWMD_VA-WWE1153PI\n", " 1\n", " 20.800000\n", " \n", " \n", "\n", - "

5921 rows × 3 columns

\n", + "

5933 rows × 3 columns

\n", "" ], "text/plain": [ @@ -3174,13 +3360,13 @@ "3 11113300-01-BVR 1 21.000000\n", "4 11113300-01-CTP 39 24.438462\n", "... ... ... ...\n", - "5916 WWMD_VA-WWE1149PI 1 18.800000\n", - "5917 WWMD_VA-WWE1150PI 1 21.300000\n", - "5918 WWMD_VA-WWE1151PI 2 20.700000\n", - "5919 WWMD_VA-WWE1152PI 1 20.000000\n", - "5920 WWMD_VA-WWE1153PI 1 20.800000\n", + "5928 WWMD_VA-WWE1149PI 1 18.800000\n", + "5929 WWMD_VA-WWE1150PI 1 21.300000\n", + "5930 WWMD_VA-WWE1151PI 2 20.700000\n", + "5931 WWMD_VA-WWE1152PI 1 20.000000\n", + "5932 WWMD_VA-WWE1153PI 1 20.800000\n", "\n", - "[5921 rows x 3 columns]" + "[5933 rows x 3 columns]" ] }, "execution_count": 38, @@ -3196,7 +3382,14 @@ { "cell_type": "code", "execution_count": 39, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:32.691575Z", + "iopub.status.busy": "2024-08-16T20:36:32.691396Z", + "iopub.status.idle": "2024-08-16T20:36:32.935160Z", + "shell.execute_reply": "2024-08-16T20:36:32.934596Z" + } + }, "outputs": [ { "data": { @@ -3210,7 +3403,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -3228,7 +3421,14 @@ { "cell_type": "code", "execution_count": 40, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:32.937287Z", + "iopub.status.busy": "2024-08-16T20:36:32.937095Z", + "iopub.status.idle": "2024-08-16T20:36:33.252150Z", + "shell.execute_reply": "2024-08-16T20:36:33.251678Z" + } + }, "outputs": [ { "data": { @@ -3242,7 +3442,7 @@ }, { "data": { - "image/png": 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", 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" ] @@ -3267,17 +3467,15 @@ { "cell_type": "code", "execution_count": 41, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" - ] + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:33.254503Z", + "iopub.status.busy": "2024-08-16T20:36:33.254314Z", + "iopub.status.idle": "2024-08-16T20:36:45.435604Z", + "shell.execute_reply": "2024-08-16T20:36:45.435023Z" } - ], + }, + "outputs": [], "source": [ "# look at Dissolved oxygen (DO), but this time without intermediate fields\n", "df = harmonize.harmonize(df, 'Dissolved oxygen (DO)')" @@ -3293,7 +3491,14 @@ { "cell_type": "code", "execution_count": 42, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:45.438102Z", + "iopub.status.busy": "2024-08-16T20:36:45.437901Z", + "iopub.status.idle": "2024-08-16T20:36:45.881009Z", + "shell.execute_reply": "2024-08-16T20:36:45.880380Z" + } + }, "outputs": [ { "data": { @@ -3325,7 +3530,7 @@ " \n", " \n", " \n", - " 2\n", + " 3\n", " IRWA-HB\n", " 4.6\n", " mg/L\n", @@ -3333,7 +3538,7 @@ " 4.6 milligram / liter\n", " \n", " \n", - " 5\n", + " 6\n", " MYRWA-MEB001\n", " 9.4\n", " mg/L\n", @@ -3341,7 +3546,7 @@ " 9.4 milligram / liter\n", " \n", " \n", - " 6\n", + " 7\n", " NARS_WQX-MARO-1020\n", " 10.3\n", " mg/L\n", @@ -3349,7 +3554,7 @@ " 10.3 milligram / liter\n", " \n", " \n", - " 8\n", + " 9\n", " MASSDEP-W2412\n", " 8.7\n", " mg/L\n", @@ -3357,7 +3562,7 @@ " 8.7 milligram / liter\n", " \n", " \n", - " 9\n", + " 11\n", " MERRIMACK_RIVER_WATERSHED_WQX-Central Catholic\n", " 10.91\n", " mg/L\n", @@ -3373,7 +3578,7 @@ " ...\n", " \n", " \n", - " 409930\n", + " 413047\n", " 11NPSWRD_WQX-CACO_GREAT_W\n", " 6.1\n", " mg/L\n", @@ -3381,7 +3586,7 @@ " 6.1 milligram / liter\n", " \n", " \n", - " 409933\n", + " 413050\n", " 11NPSWRD_WQX-SAMA_EPG_SHC\n", " 14.2\n", " mg/L\n", @@ -3389,7 +3594,7 @@ " 14.2 milligram / liter\n", " \n", " \n", - " 409935\n", + " 413051\n", " 11NPSWRD_WQX-SAMA_EPG_SHD\n", " 8.5\n", " mg/L\n", @@ -3397,7 +3602,7 @@ " 8.5 milligram / liter\n", " \n", " \n", - " 409940\n", + " 413057\n", " 11NPSWRD_WQX-SAMA_EPG_SHC\n", " 9.1\n", " mg/L\n", @@ -3405,7 +3610,7 @@ " 9.1 milligram / liter\n", " \n", " \n", - " 409947\n", + " 413061\n", " 11NPSWRD_WQX-SAMA_EPG_SHD\n", " 9.2\n", " mg/L\n", @@ -3414,37 +3619,37 @@ " \n", " \n", "\n", - "

69614 rows × 5 columns

\n", + "

70434 rows × 5 columns

\n", "" ], "text/plain": [ " MonitoringLocationIdentifier ResultMeasureValue \\\n", - "2 IRWA-HB 4.6 \n", - "5 MYRWA-MEB001 9.4 \n", - "6 NARS_WQX-MARO-1020 10.3 \n", - "8 MASSDEP-W2412 8.7 \n", - "9 MERRIMACK_RIVER_WATERSHED_WQX-Central Catholic 10.91 \n", + "3 IRWA-HB 4.6 \n", + "6 MYRWA-MEB001 9.4 \n", + "7 NARS_WQX-MARO-1020 10.3 \n", + "9 MASSDEP-W2412 8.7 \n", + "11 MERRIMACK_RIVER_WATERSHED_WQX-Central Catholic 10.91 \n", "... ... ... \n", - "409930 11NPSWRD_WQX-CACO_GREAT_W 6.1 \n", - "409933 11NPSWRD_WQX-SAMA_EPG_SHC 14.2 \n", - "409935 11NPSWRD_WQX-SAMA_EPG_SHD 8.5 \n", - "409940 11NPSWRD_WQX-SAMA_EPG_SHC 9.1 \n", - "409947 11NPSWRD_WQX-SAMA_EPG_SHD 9.2 \n", + "413047 11NPSWRD_WQX-CACO_GREAT_W 6.1 \n", + "413050 11NPSWRD_WQX-SAMA_EPG_SHC 14.2 \n", + "413051 11NPSWRD_WQX-SAMA_EPG_SHD 8.5 \n", + "413057 11NPSWRD_WQX-SAMA_EPG_SHC 9.1 \n", + "413061 11NPSWRD_WQX-SAMA_EPG_SHD 9.2 \n", "\n", " ResultMeasure/MeasureUnitCode QA_flag DO \n", - "2 mg/L NaN 4.6 milligram / liter \n", - "5 mg/L NaN 9.4 milligram / liter \n", - "6 mg/L NaN 10.3 milligram / liter \n", - "8 mg/L NaN 8.7 milligram / liter \n", - "9 mg/L NaN 10.91 milligram / liter \n", + "3 mg/L NaN 4.6 milligram / liter \n", + "6 mg/L NaN 9.4 milligram / liter \n", + "7 mg/L NaN 10.3 milligram / liter \n", + "9 mg/L NaN 8.7 milligram / liter \n", + "11 mg/L NaN 10.91 milligram / liter \n", "... ... ... ... \n", - "409930 mg/L NaN 6.1 milligram / liter \n", - "409933 mg/L NaN 14.2 milligram / liter \n", - "409935 mg/L NaN 8.5 milligram / liter \n", - "409940 mg/L NaN 9.1 milligram / liter \n", - "409947 mg/L NaN 9.2 milligram / liter \n", + "413047 mg/L NaN 6.1 milligram / liter \n", + "413050 mg/L NaN 14.2 milligram / liter \n", + "413051 mg/L NaN 8.5 milligram / liter \n", + "413057 mg/L NaN 9.1 milligram / liter \n", + "413061 mg/L NaN 9.2 milligram / liter \n", "\n", - "[69614 rows x 5 columns]" + "[70434 rows x 5 columns]" ] }, "execution_count": 42, @@ -3462,7 +3667,14 @@ { "cell_type": "code", "execution_count": 43, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:45.883154Z", + "iopub.status.busy": "2024-08-16T20:36:45.882974Z", + "iopub.status.idle": "2024-08-16T20:36:45.899227Z", + "shell.execute_reply": "2024-08-16T20:36:45.898646Z" + } + }, "outputs": [ { "data": { @@ -3494,7 +3706,7 @@ " \n", " \n", " \n", - " 2\n", + " 3\n", " IRWA-HB\n", " 4.6\n", " mg/L\n", @@ -3502,7 +3714,7 @@ " 4.6 milligram / liter\n", " \n", " \n", - " 5\n", + " 6\n", " MYRWA-MEB001\n", " 9.4\n", " mg/L\n", @@ -3510,7 +3722,7 @@ " 9.4 milligram / liter\n", " \n", " \n", - " 6\n", + " 7\n", " NARS_WQX-MARO-1020\n", " 10.3\n", " mg/L\n", @@ -3518,7 +3730,7 @@ " 10.3 milligram / liter\n", " \n", " \n", - " 8\n", + " 9\n", " MASSDEP-W2412\n", " 8.7\n", " mg/L\n", @@ -3526,7 +3738,7 @@ " 8.7 milligram / liter\n", " \n", " \n", - " 9\n", + " 11\n", " MERRIMACK_RIVER_WATERSHED_WQX-Central Catholic\n", " 10.91\n", " mg/L\n", @@ -3542,7 +3754,7 @@ " ...\n", " \n", " \n", - " 409930\n", + " 413047\n", " 11NPSWRD_WQX-CACO_GREAT_W\n", " 6.1\n", " mg/L\n", @@ -3550,7 +3762,7 @@ " 6.1 milligram / liter\n", " \n", " \n", - " 409933\n", + " 413050\n", " 11NPSWRD_WQX-SAMA_EPG_SHC\n", " 14.2\n", " mg/L\n", @@ -3558,7 +3770,7 @@ " 14.2 milligram / liter\n", " \n", " \n", - " 409935\n", + " 413051\n", " 11NPSWRD_WQX-SAMA_EPG_SHD\n", " 8.5\n", " mg/L\n", @@ -3566,7 +3778,7 @@ " 8.5 milligram / liter\n", " \n", " \n", - " 409940\n", + " 413057\n", " 11NPSWRD_WQX-SAMA_EPG_SHC\n", " 9.1\n", " mg/L\n", @@ -3574,7 +3786,7 @@ " 9.1 milligram / liter\n", " \n", " \n", - " 409947\n", + " 413061\n", " 11NPSWRD_WQX-SAMA_EPG_SHD\n", " 9.2\n", " mg/L\n", @@ -3583,37 +3795,37 @@ " \n", " \n", "\n", - "

68317 rows × 5 columns

\n", + "

69137 rows × 5 columns

\n", "" ], "text/plain": [ " MonitoringLocationIdentifier ResultMeasureValue \\\n", - "2 IRWA-HB 4.6 \n", - "5 MYRWA-MEB001 9.4 \n", - "6 NARS_WQX-MARO-1020 10.3 \n", - "8 MASSDEP-W2412 8.7 \n", - "9 MERRIMACK_RIVER_WATERSHED_WQX-Central Catholic 10.91 \n", + "3 IRWA-HB 4.6 \n", + "6 MYRWA-MEB001 9.4 \n", + "7 NARS_WQX-MARO-1020 10.3 \n", + "9 MASSDEP-W2412 8.7 \n", + "11 MERRIMACK_RIVER_WATERSHED_WQX-Central Catholic 10.91 \n", "... ... ... \n", - "409930 11NPSWRD_WQX-CACO_GREAT_W 6.1 \n", - "409933 11NPSWRD_WQX-SAMA_EPG_SHC 14.2 \n", - "409935 11NPSWRD_WQX-SAMA_EPG_SHD 8.5 \n", - "409940 11NPSWRD_WQX-SAMA_EPG_SHC 9.1 \n", - "409947 11NPSWRD_WQX-SAMA_EPG_SHD 9.2 \n", + "413047 11NPSWRD_WQX-CACO_GREAT_W 6.1 \n", + "413050 11NPSWRD_WQX-SAMA_EPG_SHC 14.2 \n", + "413051 11NPSWRD_WQX-SAMA_EPG_SHD 8.5 \n", + "413057 11NPSWRD_WQX-SAMA_EPG_SHC 9.1 \n", + "413061 11NPSWRD_WQX-SAMA_EPG_SHD 9.2 \n", "\n", " ResultMeasure/MeasureUnitCode QA_flag DO \n", - "2 mg/L NaN 4.6 milligram / liter \n", - "5 mg/L NaN 9.4 milligram / liter \n", - "6 mg/L NaN 10.3 milligram / liter \n", - "8 mg/L NaN 8.7 milligram / liter \n", - "9 mg/L NaN 10.91 milligram / liter \n", + "3 mg/L NaN 4.6 milligram / liter \n", + "6 mg/L NaN 9.4 milligram / liter \n", + "7 mg/L NaN 10.3 milligram / liter \n", + "9 mg/L NaN 8.7 milligram / liter \n", + "11 mg/L NaN 10.91 milligram / liter \n", "... ... ... ... \n", - "409930 mg/L NaN 6.1 milligram / liter \n", - "409933 mg/L NaN 14.2 milligram / liter \n", - "409935 mg/L NaN 8.5 milligram / liter \n", - "409940 mg/L NaN 9.1 milligram / liter \n", - "409947 mg/L NaN 9.2 milligram / liter \n", + "413047 mg/L NaN 6.1 milligram / liter \n", + "413050 mg/L NaN 14.2 milligram / liter \n", + "413051 mg/L NaN 8.5 milligram / liter \n", + "413057 mg/L NaN 9.1 milligram / liter \n", + "413061 mg/L NaN 9.2 milligram / liter \n", "\n", - "[68317 rows x 5 columns]" + "[69137 rows x 5 columns]" ] }, "execution_count": 43, @@ -3635,7 +3847,14 @@ { "cell_type": "code", "execution_count": 44, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:45.901438Z", + "iopub.status.busy": "2024-08-16T20:36:45.901103Z", + "iopub.status.idle": "2024-08-16T20:36:45.951768Z", + "shell.execute_reply": "2024-08-16T20:36:45.951185Z" + } + }, "outputs": [ { "data": { @@ -3701,38 +3920,38 @@ " ...\n", " \n", " \n", - " 2311\n", + " 2323\n", " WWMD_VA-SR5\n", " 1\n", " 10.810000\n", " \n", " \n", - " 2312\n", + " 2324\n", " WWMD_VA-WF2\n", " 2\n", " 6.800000\n", " \n", " \n", - " 2313\n", + " 2325\n", " WWMD_VA-WI1\n", " 1\n", " 9.510000\n", " \n", " \n", - " 2314\n", + " 2326\n", " WWMD_VA-WR2X\n", " 2\n", " 6.000000\n", " \n", " \n", - " 2315\n", + " 2327\n", " WWMD_VA-WR5\n", " 1\n", " 8.355000\n", " \n", " \n", "\n", - "

2316 rows × 3 columns

\n", + "

2328 rows × 3 columns

\n", "" ], "text/plain": [ @@ -3743,13 +3962,13 @@ "3 11113300-01-CTP 37 6.945135\n", "4 11113300-01-GOL 1 4.400000\n", "... ... ... ...\n", - "2311 WWMD_VA-SR5 1 10.810000\n", - "2312 WWMD_VA-WF2 2 6.800000\n", - "2313 WWMD_VA-WI1 1 9.510000\n", - "2314 WWMD_VA-WR2X 2 6.000000\n", - "2315 WWMD_VA-WR5 1 8.355000\n", + "2323 WWMD_VA-SR5 1 10.810000\n", + "2324 WWMD_VA-WF2 2 6.800000\n", + "2325 WWMD_VA-WI1 1 9.510000\n", + "2326 WWMD_VA-WR2X 2 6.000000\n", + "2327 WWMD_VA-WR5 1 8.355000\n", "\n", - "[2316 rows x 3 columns]" + "[2328 rows x 3 columns]" ] }, "execution_count": 44, @@ -3765,7 +3984,14 @@ { "cell_type": "code", "execution_count": 45, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:45.954091Z", + "iopub.status.busy": "2024-08-16T20:36:45.953754Z", + "iopub.status.idle": "2024-08-16T20:36:46.166055Z", + "shell.execute_reply": "2024-08-16T20:36:46.165459Z" + } + }, "outputs": [ { "data": { @@ -3779,7 +4005,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -3797,7 +4023,14 @@ { "cell_type": "code", "execution_count": 46, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:46.168294Z", + "iopub.status.busy": "2024-08-16T20:36:46.167933Z", + "iopub.status.idle": "2024-08-16T20:36:46.432029Z", + "shell.execute_reply": "2024-08-16T20:36:46.431451Z" + } + }, "outputs": [ { "data": { @@ -3811,7 +4044,7 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -3836,24 +4069,23 @@ { "cell_type": "code", "execution_count": 47, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:46.434701Z", + "iopub.status.busy": "2024-08-16T20:36:46.434113Z", + "iopub.status.idle": "2024-08-16T20:36:49.898310Z", + "shell.execute_reply": "2024-08-16T20:36:49.897676Z" + } + }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ "-Usable results-\n", - "count 94569.000000\n", - "mean 6.509378\n", - "std 2.642258\n", + "count 94614.000000\n", + "mean 6.509265\n", + "std 2.641679\n", "min -3.124705\n", "25% 5.700000\n", "50% 6.620000\n", @@ -3862,12 +4094,12 @@ "dtype: float64\n", "Unusable results: 17\n", "Usable results with inferred units: 215\n", - "Results outside threshold (0.0 to 22.362923608048774): 12\n" + "Results outside threshold (0.0 to 22.35933967770454): 12\n" ] }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -3891,7 +4123,14 @@ { "cell_type": "code", "execution_count": 48, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:49.901139Z", + "iopub.status.busy": "2024-08-16T20:36:49.900525Z", + "iopub.status.idle": "2024-08-16T20:36:50.006585Z", + "shell.execute_reply": "2024-08-16T20:36:50.006036Z" + } + }, "outputs": [ { "data": { @@ -3922,39 +4161,39 @@ " \n", " \n", " \n", - " 30\n", - " 7.69\n", + " 28\n", + " 7.78\n", " None\n", " NaN\n", - " 7.69 dimensionless\n", + " 7.78 dimensionless\n", " \n", " \n", - " 31\n", - " 7.4\n", + " 52\n", + " 7.9\n", " None\n", " NaN\n", - " 7.4 dimensionless\n", + " 7.9 dimensionless\n", " \n", " \n", - " 40\n", - " 7.78\n", + " 58\n", + " 7.69\n", " None\n", " NaN\n", - " 7.78 dimensionless\n", + " 7.69 dimensionless\n", " \n", " \n", - " 54\n", - " 7.9\n", + " 59\n", + " 6.16\n", " None\n", " NaN\n", - " 7.9 dimensionless\n", + " 6.16 dimensionless\n", " \n", " \n", - " 59\n", - " 6.16\n", + " 61\n", + " 7.4\n", " None\n", " NaN\n", - " 6.16 dimensionless\n", + " 7.4 dimensionless\n", " \n", " \n", " ...\n", @@ -3964,35 +4203,35 @@ " ...\n", " \n", " \n", - " 413434\n", + " 416595\n", " 5.8\n", " std units\n", " NaN\n", " 5.8 dimensionless\n", " \n", " \n", - " 413436\n", + " 416597\n", " 7.3\n", " std units\n", " NaN\n", " 7.3 dimensionless\n", " \n", " \n", - " 413440\n", + " 416601\n", " 7.4\n", " std units\n", " NaN\n", " 7.4 dimensionless\n", " \n", " \n", - " 413444\n", + " 416605\n", " 7.5\n", " std units\n", " NaN\n", " 7.5 dimensionless\n", " \n", " \n", - " 413448\n", + " 416609\n", " 7.4\n", " std units\n", " NaN\n", @@ -4000,37 +4239,37 @@ " \n", " \n", "\n", - "

94586 rows × 4 columns

\n", + "

94631 rows × 4 columns

\n", "" ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag \\\n", - "30 7.69 None NaN \n", - "31 7.4 None NaN \n", - "40 7.78 None NaN \n", - "54 7.9 None NaN \n", + "28 7.78 None NaN \n", + "52 7.9 None NaN \n", + "58 7.69 None NaN \n", "59 6.16 None NaN \n", + "61 7.4 None NaN \n", "... ... ... ... \n", - "413434 5.8 std units NaN \n", - "413436 7.3 std units NaN \n", - "413440 7.4 std units NaN \n", - "413444 7.5 std units NaN \n", - "413448 7.4 std units NaN \n", + "416595 5.8 std units NaN \n", + "416597 7.3 std units NaN \n", + "416601 7.4 std units NaN \n", + "416605 7.5 std units NaN \n", + "416609 7.4 std units NaN \n", "\n", " pH \n", - "30 7.69 dimensionless \n", - "31 7.4 dimensionless \n", - "40 7.78 dimensionless \n", - "54 7.9 dimensionless \n", + "28 7.78 dimensionless \n", + "52 7.9 dimensionless \n", + "58 7.69 dimensionless \n", "59 6.16 dimensionless \n", + "61 7.4 dimensionless \n", "... ... \n", - "413434 5.8 dimensionless \n", - "413436 7.3 dimensionless \n", - "413440 7.4 dimensionless \n", - "413444 7.5 dimensionless \n", - "413448 7.4 dimensionless \n", + "416595 5.8 dimensionless \n", + "416597 7.3 dimensionless \n", + "416601 7.4 dimensionless \n", + "416605 7.5 dimensionless \n", + "416609 7.4 dimensionless \n", "\n", - "[94586 rows x 4 columns]" + "[94631 rows x 4 columns]" ] }, "execution_count": 48, @@ -4059,17 +4298,28 @@ { "cell_type": "code", "execution_count": 49, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:50.008893Z", + "iopub.status.busy": "2024-08-16T20:36:50.008565Z", + "iopub.status.idle": "2024-08-16T20:36:54.696798Z", + "shell.execute_reply": "2024-08-16T20:36:54.696320Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\basis.py:162: UserWarning: Mismatched ResultTemperatureBasisText: updated from 25 deg C to @25C (units)\n", - " warn(f'Mismatched {flag}', UserWarning)\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\convert.py:125: UserWarning: WARNING: 'deg C' converted to NaN\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/basis.py:154: UserWarning: Mismatched ResultTemperatureBasisText: updated from 25 deg C to @25C (units)\n", + " warn(f\"Mismatched {flag}\", UserWarning)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'deg C' converted to NaN\n", " warn(f\"WARNING: '{unit}' converted to NaN\")\n" ] }, @@ -4094,7 +4344,7 @@ }, { "data": { - "image/png": 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s5efn28ter1cDBgxQenq6XC5Xpz2O3+9XaWmp7t8dLl9LmPYVhObLWq19TpgwQQ6Ho6unc171lF7pM7TQZ2ihz8+1voJyJkG/hHSq+Ph4ffOb39SHH36oCRMmqKmpSQ0NDQFnYerq6uz3zCQmJmrnzp0B22i9SunUmi9euVRXVyeXy9VhSHI6nXI6nW3WOxyO83Iw+FrC5GsOC+kDTTp/v7/uqKf0Sp+hhT5DC33qrPv/Up8Dc+TIEf39739Xv379NGrUKDkcDpWVldnjBw4cUE1NjTwejyTJ4/Fo7969qq+vt2tKS0vlcrmUmppq15y6jdaa1m0AAAAEFWD+67/+S+Xl5frf//1fvfHGG7r55psVERGhH//4x4qLi9PUqVOVn5+vLVu2qLKyUj/72c/k8XiUlpYmSUpPT1dqaqruuOMOvfXWW9qwYYPmzJmjnJwc++zJtGnT9NFHH2nmzJl677339NRTT2n16tXKy8vr/O4BAICRgnoJ6Z///Kd+/OMf6z//+Y++9rWv6ZprrtH27dv1ta99TZK0aNEihYeHKysrSz6fTxkZGXrqqafs+0dERGjdunWaPn26PB6PevXqpezsbM2fP9+uSUlJUUlJifLy8rRkyRL1799fzzzzDJdQAwAAW1AB5vnnn+9wPDo6WoWFhSosLDxtTXJy8hmv3Bk7dqz27NkTzNQAAEAPwnchAQAA4xBgAACAcQgwAADAOAQYAABgHAIMAAAwDgEGAAAYhwADAACMQ4ABAADGIcAAAADjEGAAAIBxCDAAAMA4BBgAAGAcAgwAADAOAQYAABiHAAMAAIxDgAEAAMYhwAAAAOMQYAAAgHEIMAAAwDgEGAAAYBwCDAAAMA4BBgAAGIcAAwAAjEOAAQAAxiHAAAAA4xBgAACAcQgwAADAOAQYAABgHAIMAAAwDgEGAAAYhwADAACMQ4ABAADGIcAAAADjEGAAAIBxCDAAAMA4BBgAAGAcAgwAADAOAQYAABiHAAMAAIxDgAEAAMYhwAAAAOMQYAAAgHG+VIB55JFHFBYWptzcXHvdiRMnlJOTo759+6p3797KyspSXV1dwP1qamqUmZmp2NhYJSQk6N5779XJkycDarZu3aqRI0fK6XRq8ODBKioq+jJTBQAAIeScA8yuXbv03//93xo2bFjA+ry8PL3yyitas2aNysvL9cknn+iWW26xx5ubm5WZmammpia98cYbeu6551RUVKS5c+faNdXV1crMzNT111+vqqoq5ebm6s4779SGDRvOdboAACCERJ7LnY4cOaJJkybpD3/4g37729/a6xsbG7VixQoVFxfrhhtukCStXLlSQ4cO1fbt25WWlqaNGzfqnXfe0aZNm+R2uzV8+HA9+OCDuu+++1RQUKCoqCgtX75cKSkpeuyxxyRJQ4cO1bZt27Ro0SJlZGS0Oyefzyefz2cve71eSZLf75ff7z+XNtvVui1nuBWwHGpa+wrV/k7VU3qlz9BCn6GFPtvWnEmYZVlWsBPIzs5Wnz59tGjRIo0dO1bDhw/X4sWLtXnzZo0bN06ffvqp4uPj7frk5GTl5uYqLy9Pc+fO1csvv6yqqip7vLq6WhdffLHefPNNjRgxQtddd51GjhypxYsX2zUrV65Ubm6uGhsb251TQUGB5s2b12Z9cXGxYmNjg20RAAB0gWPHjun2229XY2OjXC7XaeuCPgPz/PPP680339SuXbvajNXW1ioqKiogvEiS2+1WbW2tXeN2u9uMt451VOP1enX8+HHFxMS0eezZs2crPz/fXvZ6vRowYIDS09M7/AUEy+/3q7S0VPfvDpevJUz7Cto/I2S61j4nTJggh8PR1dM5r3pKr/QZWugztNDn51pfQTmToALMxx9/rHvuuUelpaWKjo4O5q7nndPplNPpbLPe4XCcl4PB1xImX3NYSB9o0vn7/XVHPaVX+gwt9Bla6FNn3X9Qb+KtrKxUfX29Ro4cqcjISEVGRqq8vFxLly5VZGSk3G63mpqa1NDQEHC/uro6JSYmSpISExPbXJXUunymGpfL1e7ZFwAA0LMEFWDGjRunvXv3qqqqyr6NHj1akyZNsn92OBwqKyuz73PgwAHV1NTI4/FIkjwej/bu3av6+nq7prS0VC6XS6mpqXbNqdtorWndBgAA6NmCegnpggsu0OWXXx6wrlevXurbt6+9furUqcrPz1efPn3kcrn0i1/8Qh6PR2lpaZKk9PR0paam6o477tDChQtVW1urOXPmKCcnx34JaNq0aXryySc1c+ZMTZkyRZs3b9bq1atVUlLSGT0DAADDndNl1B1ZtGiRwsPDlZWVJZ/Pp4yMDD311FP2eEREhNatW6fp06fL4/GoV69eys7O1vz58+2alJQUlZSUKC8vT0uWLFH//v31zDPPnPYSagAA0LN86QCzdevWgOXo6GgVFhaqsLDwtPdJTk7W+vXrO9zu2LFjtWfPni87PQAAEIL4LiQAAGAcAgwAADAOAQYAABiHAAMAAIxDgAEAAMYhwAAAAOMQYAAAgHEIMAAAwDgEGAAAYBwCDAAAMA4BBgAAGIcAAwAAjEOAAQAAxiHAAAAA4xBgAACAcQgwAADAOAQYAABgHAIMAAAwDgEGAAAYhwADAACMQ4ABAADGIcAAAADjEGAAAIBxCDAAAMA4BBgAAGAcAgwAADAOAQYAABiHAAMAAIxDgAEAAMYhwAAAAOMQYAAAgHEIMAAAwDgEGAAAYBwCDAAAMA4BBgAAGIcAAwAAjEOAAQAAxiHAAAAA4xBgAACAcQgwAADAOAQYAABgnKACzLJlyzRs2DC5XC65XC55PB799a9/tcdPnDihnJwc9e3bV71791ZWVpbq6uoCtlFTU6PMzEzFxsYqISFB9957r06ePBlQs3XrVo0cOVJOp1ODBw9WUVHRuXcIAABCTlABpn///nrkkUdUWVmp3bt364YbbtCNN96o/fv3S5Ly8vL0yiuvaM2aNSovL9cnn3yiW265xb5/c3OzMjMz1dTUpDfeeEPPPfecioqKNHfuXLumurpamZmZuv7661VVVaXc3Fzdeeed2rBhQye1DAAATBcZTPEPfvCDgOWHHnpIy5Yt0/bt29W/f3+tWLFCxcXFuuGGGyRJK1eu1NChQ7V9+3alpaVp48aNeuedd7Rp0ya53W4NHz5cDz74oO677z4VFBQoKipKy5cvV0pKih577DFJ0tChQ7Vt2zYtWrRIGRkZndQ2AAAwWVAB5lTNzc1as2aNjh49Ko/Ho8rKSvn9fo0fP96uGTJkiAYOHKiKigqlpaWpoqJCV1xxhdxut12TkZGh6dOna//+/RoxYoQqKioCttFak5ub2+F8fD6ffD6fvez1eiVJfr9ffr//XNtso3VbznArYDnUtPYVqv2dqqf0Sp+hhT5DC322rTmToAPM3r175fF4dOLECfXu3VsvvfSSUlNTVVVVpaioKMXHxwfUu91u1dbWSpJqa2sDwkvreOtYRzVer1fHjx9XTExMu/NasGCB5s2b12b9xo0bFRsbG2ybZ/Tg6BZJ0vr16zt9291JaWlpV0/hK9NTeqXP0EKfoYU+pWPHjp3VNoIOMJdeeqmqqqrU2NioP//5z8rOzlZ5eXmwm+l0s2fPVn5+vr3s9Xo1YMAApaeny+Vyddrj+P1+lZaW6v7d4fK1hGlfQWi+rNXa54QJE+RwOLp6OudVT+mVPkMLfYYW+vxc6ysoZxJ0gImKitLgwYMlSaNGjdKuXbu0ZMkS3XrrrWpqalJDQ0PAWZi6ujolJiZKkhITE7Vz586A7bVepXRqzRevXKqrq5PL5Trt2RdJcjqdcjqdbdY7HI7zcjD4WsLkaw4L6QNNOn+/v+6op/RKn6GFPkMLfeqs+//SnwPT0tIin8+nUaNGyeFwqKyszB47cOCAampq5PF4JEkej0d79+5VfX29XVNaWiqXy6XU1FS75tRttNa0bgMAACCoMzCzZ8/WxIkTNXDgQB0+fFjFxcXaunWrNmzYoLi4OE2dOlX5+fnq06ePXC6XfvGLX8jj8SgtLU2SlJ6ertTUVN1xxx1auHChamtrNWfOHOXk5NhnT6ZNm6Ynn3xSM2fO1JQpU7R582atXr1aJSUlnd89AAAwUlABpr6+XpMnT9bBgwcVFxenYcOGacOGDZowYYIkadGiRQoPD1dWVpZ8Pp8yMjL01FNP2fePiIjQunXrNH36dHk8HvXq1UvZ2dmaP3++XZOSkqKSkhLl5eVpyZIl6t+/v5555hkuoQYAALagAsyKFSs6HI+OjlZhYaEKCwtPW5OcnHzGK3fGjh2rPXv2BDM1AADQg/BdSAAAwDgEGAAAYBwCDAAAMA4BBgAAGIcAAwAAjEOAAQAAxiHAAAAA4xBgAACAcQgwAADAOAQYAABgHAIMAAAwDgEGgAbNKtGgWXzjOwBzEGAAAIBxCDAAAMA4BBgAAGAcAgwAADAOAQYAABiHAAMAAIxDgAEAAMaJ7OoJmO7Uz87430cyu3AmAAD0HJyBAQAAxiHAAAAA4xBgAACAcQgwAADAOAQYAABgHK5CAnoovn0agMk4AwMAAIxDgAEAAMYhwAAAAOMQYAAAgHEIMAAAwDgEGAAAYBwCDAAAMA4BBgAAGIcAAwAAjEOAAQAAxiHAAAAA4xBgAACAcQgwAADAOAQYAABgHAIMAAAwDgEGAAAYJ6gAs2DBAn3rW9/SBRdcoISEBN100006cOBAQM2JEyeUk5Ojvn37qnfv3srKylJdXV1ATU1NjTIzMxUbG6uEhATde++9OnnyZEDN1q1bNXLkSDmdTg0ePFhFRUXn1iGAAJcXbNCgWSVdPQ0A+FKCCjDl5eXKycnR9u3bVVpaKr/fr/T0dB09etSuycvL0yuvvKI1a9aovLxcn3zyiW655RZ7vLm5WZmZmWpqatIbb7yh5557TkVFRZo7d65dU11drczMTF1//fWqqqpSbm6u7rzzTm3YsKETWgYAAKaLDKb41VdfDVguKipSQkKCKisrdd1116mxsVErVqxQcXGxbrjhBknSypUrNXToUG3fvl1paWnauHGj3nnnHW3atElut1vDhw/Xgw8+qPvuu08FBQWKiorS8uXLlZKSoscee0ySNHToUG3btk2LFi1SRkZGu3Pz+Xzy+Xz2stfrlST5/X75/f5g2uxQ67ac4dZpx0JBay+h1NPp9JReOzp2v1hjsp62P+kzNNBn25ozCbMs6/TPZmfw4Ycf6hvf+Ib27t2ryy+/XJs3b9a4ceP06aefKj4+3q5LTk5Wbm6u8vLyNHfuXL388suqqqqyx6urq3XxxRfrzTff1IgRI3Tddddp5MiRWrx4sV2zcuVK5ebmqrGxsd25FBQUaN68eW3WFxcXKzY29lxbBAAAX6Fjx47p9ttvV2Njo1wu12nrgjoDc6qWlhbl5ubq6quv1uWXXy5Jqq2tVVRUVEB4kSS3263a2lq7xu12txlvHeuoxuv16vjx44qJiWkzn9mzZys/P99e9nq9GjBggNLT0zv8BQTL7/ertLRU9+8Ol68lLGBsX0H7Z4dM1NrnhAkT5HA4uno651VP6bWjY7c9ph7PPW1/0mdooM/Ptb6CcibnHGBycnK0b98+bdu27Vw30amcTqecTmeb9Q6H47wcDL6WMPmaA/8IhOJBd75+f91RT+m1vWO3Pab/LnrK/qTP0EKfZ//cc06XUc+YMUPr1q3Tli1b1L9/f3t9YmKimpqa1NDQEFBfV1enxMREu+aLVyW1Lp+pxuVytXv2BQAA9CxBBRjLsjRjxgy99NJL2rx5s1JSUgLGR40aJYfDobKyMnvdgQMHVFNTI4/HI0nyeDzau3ev6uvr7ZrS0lK5XC6lpqbaNaduo7WmdRsAAKBnC+olpJycHBUXF+svf/mLLrjgAvs9K3FxcYqJiVFcXJymTp2q/Px89enTRy6XS7/4xS/k8XiUlpYmSUpPT1dqaqruuOMOLVy4ULW1tZozZ45ycnLsl4CmTZumJ598UjNnztSUKVO0efNmrV69WiUlfHYFAAAI8gzMsmXL1NjYqLFjx6pfv3727YUXXrBrFi1apO9///vKysrSddddp8TERL344ov2eEREhNatW6eIiAh5PB795Cc/0eTJkzV//ny7JiUlRSUlJSotLdWVV16pxx57TM8888xpL6EGAAA9S1BnYM7miuvo6GgVFhaqsLDwtDXJyclav359h9sZO3as9uzZE8z0AABAD8F3IQEAAOMQYAAAgHEIMAAAwDgEGAAAYBwCDAAAMA4BBgAAGIcAAwAAjEOAAQAAxiHAAAAA4xBgAACAcQgwAADAOAQYAABgHAIMAAAwDgEGAAAYhwADAACMQ4ABAADGIcAAAADjEGAAAIBxIrt6AgDOv0GzSuSMsLTwqq6eCQB0Ds7AAAAA4xBgAACAcQgwAADAOAQYAABgHAIMAAAwDgEGAAAYhwADAACMQ4AB0K5Bs0o0aFZJV08DANpFgAEAAMYhwAAAAOMQYAAAgHEIMAAAwDgEGAAAYBwCDAAAMA4BBgAAGIcAAwAAjEOAAQAAxiHAAAAA4xBgAACAcQgwAADAOAQYAABgHAIMAAAwTtAB5rXXXtMPfvADJSUlKSwsTGvXrg0YtyxLc+fOVb9+/RQTE6Px48frgw8+CKg5dOiQJk2aJJfLpfj4eE2dOlVHjhwJqHn77bd17bXXKjo6WgMGDNDChQuD7w4AAISkoAPM0aNHdeWVV6qwsLDd8YULF2rp0qVavny5duzYoV69eikjI0MnTpywayZNmqT9+/ertLRU69at02uvvaa7777bHvd6vUpPT1dycrIqKyv16KOPqqCgQE8//fQ5tAgAAEJNZLB3mDhxoiZOnNjumGVZWrx4sebMmaMbb7xRkvTHP/5Rbrdba9eu1W233aZ3331Xr776qnbt2qXRo0dLkp544gl973vf0+9//3slJSVp1apVampq0rPPPquoqChddtllqqqq0uOPPx4QdAAAQM8UdIDpSHV1tWprazV+/Hh7XVxcnMaMGaOKigrddtttqqioUHx8vB1eJGn8+PEKDw/Xjh07dPPNN6uiokLXXXedoqKi7JqMjAz97ne/06effqoLL7ywzWP7fD75fD572ev1SpL8fr/8fn+n9di6LWe4ddqxUNDaSyj1dDqh2uvlBRvsn50Rnx+z7R27HTHt9xKq+/OL6DO00GfbmjPp1ABTW1srSXK73QHr3W63PVZbW6uEhITASURGqk+fPgE1KSkpbbbROtZegFmwYIHmzZvXZv3GjRsVGxt7jh2d3oOjW9qsW79+fac/TlcrLS3t6il8ZUKt14VXtb++vWO3I6Ye16G2P0+HPkMLfUrHjh07q210aoDpSrNnz1Z+fr697PV6NWDAAKWnp8vlcnXa4/j9fpWWlur+3eHytYQFjO0ryOi0x+lqrX1OmDBBDoejq6dzXoVqr6eegZE+O/Py4OiWdo/djph2XIfq/vwi+gwt9Pm51ldQzqRTA0xiYqIkqa6uTv369bPX19XVafjw4XZNfX19wP1OnjypQ4cO2fdPTExUXV1dQE3rcmvNFzmdTjmdzjbrHQ7HeTkYfC1h8jUH/hEIxYPufP3+uqNQ6/WLx6e9vp1jtyOm/k5CbX+eDn2GFvo8++ecTv0cmJSUFCUmJqqsrMxe5/V6tWPHDnk8HkmSx+NRQ0ODKisr7ZrNmzerpaVFY8aMsWtee+21gNfBSktLdemll7b78hEAAOhZgg4wR44cUVVVlaqqqiR99sbdqqoq1dTUKCwsTLm5ufrtb3+rl19+WXv37tXkyZOVlJSkm266SZI0dOhQffe739Vdd92lnTt36vXXX9eMGTN02223KSkpSZJ0++23KyoqSlOnTtX+/fv1wgsvaMmSJQEvEQEAgJ4r6JeQdu/ereuvv95ebg0V2dnZKioq0syZM3X06FHdfffdamho0DXXXKNXX31V0dHR9n1WrVqlGTNmaNy4cQoPD1dWVpaWLl1qj8fFxWnjxo3KycnRqFGjdNFFF2nu3LlcQg0AACSdQ4AZO3asLOv0l2GGhYVp/vz5mj9//mlr+vTpo+Li4g4fZ9iwYfrb3/4W7PQAAEAPwHchAQAA4xBgAACAcQgwAADAOAQYAABgHAIMAAAwDgEGAAAYhwADAACMQ4ABAADGIcAAAADjdOq3UQPoeoNmlXT1FADgvOMMDAAAMA4BBgAAGIcAAwAAjEOAAQAAxiHAAAAA4xBgAACAcQgwAADAOAQYAABgHAIMAAAwDgEGAAAYh68SANChU7+a4H8fyezCmQDA5zgDAwAAjMMZmE7U+i9V/pWKrxpf4Aigp+EMDAAAMA5nYACDfdVnXng/DIDugjMwAADAOAQYAABgHAIMAAAwDgEGwDkZNKuEq58AdBkCDAAAMA4BBgAAGIcAAwAAjMPnwACG4X0nAECAOS/4sC+cD901uHC8A+gKBBigG+uuoQUAuhrvgQEAAMYhwAAAAOPwEhI6De+FQHs4LgCcDwQYoJvg/S4AcPYIMOdZ6x8l0/7leXnBBi286rP/Hnjo+109HRiGMAbgfCPAfEU4jR4a2guk5xJSQ/UPfKj2BaD7IcAYorudyTnTH6r2xlvn3t3C3LmcbWqvP/54A8BXp1sHmMLCQj366KOqra3VlVdeqSeeeEJXXXVVV0/rS+voj/up4+39cT/b+57u/mc7H2dEx+OhrruFLABAoG4bYF544QXl5+dr+fLlGjNmjBYvXqyMjAwdOHBACQkJXT29TvdV/Yu+K8NIZ/XY0Zmc0wWPjh7nTGGtJwY4AOjuum2Aefzxx3XXXXfpZz/7mSRp+fLlKikp0bPPPqtZs2a1qff5fPL5fPZyY2OjJOnQoUPy+/2dNi+/369jx44p0h+u5pawTtvulzH4v1bbP0eeZn174x2JbLF07FhLt+qzVWtf7fV6uv476rs799qZukOf7R2TO2aP69THaP1/9D//+Y8cDkenbrs7oc/QQp+fO3z4sCTJsqyON2Z1Qz6fz4qIiLBeeumlgPWTJ0+2fvjDH7Z7nwceeMCSxI0bN27cuHELgdvHH3/cYVbolmdg/v3vf6u5uVlutztgvdvt1nvvvdfufWbPnq38/Hx7uaWlRYcOHVLfvn0VFtZ5/9r0er0aMGCAPv74Y7lcrk7bbnfTU/qUek6v9Bla6DO00OfnLMvS4cOHlZSU1OG2umWAORdOp1NOpzNgXXx8/Hl7PJfLFdIHWaue0qfUc3qlz9BCn6GFPj8TFxd3xm10y+9CuuiiixQREaG6urqA9XV1dUpMTOyiWQEAgO6iWwaYqKgojRo1SmVlZfa6lpYWlZWVyePxdOHMAABAd9BtX0LKz89Xdna2Ro8erauuukqLFy/W0aNH7auSuorT6dQDDzzQ5uWqUNNT+pR6Tq/0GVroM7TQZ/DCLOtM1yl1nSeffNL+ILvhw4dr6dKlGjNmTFdPCwAAdLFuHWAAAADa0y3fAwMAANARAgwAADAOAQYAABiHAAMAAIxDgAlSYWGhBg0apOjoaI0ZM0Y7d+7s6il9Ka+99pp+8IMfKCkpSWFhYVq7dm3AuGVZmjt3rvr166eYmBiNHz9eH3zwQddM9ktYsGCBvvWtb+mCCy5QQkKCbrrpJh04cCCg5sSJE8rJyVHfvn3Vu3dvZWVltfkwxe5u2bJlGjZsmP0plx6PR3/961/t8VDosT2PPPKIwsLClJuba68LhV4LCgoUFhYWcBsyZIg9Hgo9tvrXv/6ln/zkJ+rbt69iYmJ0xRVXaPfu3fZ4KDwXDRo0qM3+DAsLU05OjqTQ2Z/Nzc26//77lZKSopiYGF1yySV68MEHA76csVP255f83sUe5fnnn7eioqKsZ5991tq/f7911113WfHx8VZdXV1XT+2crV+/3vrNb35jvfjii5akNl+g+cgjj1hxcXHW2rVrrbfeesv64Q9/aKWkpFjHjx/vmgmfo4yMDGvlypXWvn37rKqqKut73/ueNXDgQOvIkSN2zbRp06wBAwZYZWVl1u7du620tDTr29/+dhfOOngvv/yyVVJSYr3//vvWgQMHrF//+teWw+Gw9u3bZ1lWaPT4RTt37rQGDRpkDRs2zLrnnnvs9aHQ6wMPPGBddtll1sGDB+3b//3f/9njodCjZVnWoUOHrOTkZOunP/2ptWPHDuujjz6yNmzYYH344Yd2TSg8F9XX1wfsy9LSUkuStWXLFsuyQmd/PvTQQ1bfvn2tdevWWdXV1daaNWus3r17W0uWLLFrOmN/EmCCcNVVV1k5OTn2cnNzs5WUlGQtWLCgC2fVeb4YYFpaWqzExETr0Ucftdc1NDRYTqfT+p//+Z8umGHnqa+vtyRZ5eXllmV91pfD4bDWrFlj17z77ruWJKuioqKrptkpLrzwQuuZZ54JyR4PHz5sfeMb37BKS0ut73znO3aACZVeH3jgAevKK69sdyxUerQsy7rvvvusa6655rTjofpcdM8991iXXHKJ1dLSElL7MzMz05oyZUrAultuucWaNGmSZVmdtz95CeksNTU1qbKyUuPHj7fXhYeHa/z48aqoqOjCmZ0/1dXVqq2tDeg5Li5OY8aMMb7nxsZGSVKfPn0kSZWVlfL7/QG9DhkyRAMHDjS21+bmZj3//PM6evSoPB5PSPaYk5OjzMzMgJ6k0NqfH3zwgZKSknTxxRdr0qRJqqmpkRRaPb788ssaPXq0fvSjHykhIUEjRozQH/7wB3s8FJ+Lmpqa9Kc//UlTpkxRWFhYSO3Pb3/72yorK9P7778vSXrrrbe0bds2TZw4UVLn7c9u+1UC3c2///1vNTc3y+12B6x3u9167733umhW51dtba0ktdtz65iJWlpalJubq6uvvlqXX365pM96jYqKavMN5ib2unfvXnk8Hp04cUK9e/fWSy+9pNTUVFVVVYVMj5L0/PPP680339SuXbvajIXK/hwzZoyKiop06aWX6uDBg5o3b56uvfZa7du3L2R6lKSPPvpIy5YtU35+vn79619r165d+uUvf6moqChlZ2eH5HPR2rVr1dDQoJ/+9KeSQueYlaRZs2bJ6/VqyJAhioiIUHNzsx566CFNmjRJUuf9bSHAoMfJycnRvn37tG3btq6eynlx6aWXqqqqSo2Njfrzn/+s7OxslZeXd/W0OtXHH3+se+65R6WlpYqOju7q6Zw3rf9ilaRhw4ZpzJgxSk5O1urVqxUTE9OFM+tcLS0tGj16tB5++GFJ0ogRI7Rv3z4tX75c2dnZXTy782PFihWaOHGikpKSunoqnW716tVatWqViouLddlll6mqqkq5ublKSkrq1P3JS0hn6aKLLlJERESbd4TX1dUpMTGxi2Z1frX2FUo9z5gxQ+vWrdOWLVvUv39/e31iYqKamprU0NAQUG9ir1FRURo8eLBGjRqlBQsW6Morr9SSJUtCqsfKykrV19dr5MiRioyMVGRkpMrLy7V06VJFRkbK7XaHTK+nio+P1ze/+U19+OGHIbU/+/Xrp9TU1IB1Q4cOtV8uC7Xnon/84x/atGmT7rzzTntdKO3Pe++9V7NmzdJtt92mK664QnfccYfy8vK0YMECSZ23PwkwZykqKkqjRo1SWVmZva6lpUVlZWXyeDxdOLPzJyUlRYmJiQE9e71e7dixw7ieLcvSjBkz9NJLL2nz5s1KSUkJGB81apQcDkdArwcOHFBNTY1xvX5RS0uLfD5fSPU4btw47d27V1VVVfZt9OjRmjRpkv1zqPR6qiNHjujvf/+7+vXrF1L78+qrr27zsQbvv/++kpOTJYXWc5EkrVy5UgkJCcrMzLTXhdL+PHbsmMLDA+NFRESEWlpaJHXi/uyUtxz3EM8//7zldDqtoqIi65133rHuvvtuKz4+3qqtre3qqZ2zw4cPW3v27LH27NljSbIef/xxa8+ePdY//vEPy7I+u9QtPj7e+stf/mK9/fbb1o033mjcpYuWZVnTp0+34uLirK1btwZcxnjs2DG7Ztq0adbAgQOtzZs3W7t377Y8Ho/l8Xi6cNbBmzVrllVeXm5VV1dbb7/9tjVr1iwrLCzM2rhxo2VZodHj6Zx6FZJlhUavv/rVr6ytW7da1dXV1uuvv26NHz/euuiii6z6+nrLskKjR8v67FL4yMhI66GHHrI++OADa9WqVVZsbKz1pz/9ya4Jleei5uZma+DAgdZ9993XZixU9md2drb19a9/3b6M+sUXX7Quuugia+bMmXZNZ+xPAkyQnnjiCWvgwIFWVFSUddVVV1nbt2/v6il9KVu2bLEktbllZ2dblvXZ5W7333+/5Xa7LafTaY0bN846cOBA1076HLTXoyRr5cqVds3x48etn//859aFF15oxcbGWjfffLN18ODBrpv0OZgyZYqVnJxsRUVFWV/72tescePG2eHFskKjx9P5YoAJhV5vvfVWq1+/flZUVJT19a9/3br11lsDPhslFHps9corr1iXX3655XQ6rSFDhlhPP/10wHioPBdt2LDBktTu3ENlf3q9Xuuee+6xBg4caEVHR1sXX3yx9Zvf/Mby+Xx2TWfszzDLOuWj8QAAAAzAe2AAAIBxCDAAAMA4BBgAAGAcAgwAADAOAQYAABiHAAMAAIxDgAEAAMYhwAAAAOMQYAAAgHEIMAAAwDgEGAAAYJz/B6JId45ENRPdAAAAAElFTkSuQmCC", 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", "text/plain": [ "
" ] @@ -4111,7 +4361,14 @@ { "cell_type": "code", "execution_count": 50, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:54.699176Z", + "iopub.status.busy": "2024-08-16T20:36:54.698778Z", + "iopub.status.idle": "2024-08-16T20:36:54.760772Z", + "shell.execute_reply": "2024-08-16T20:36:54.760207Z" + } + }, "outputs": [ { "data": { @@ -4142,39 +4399,39 @@ " \n", " \n", " \n", - " 37\n", + " 21\n", " 33.3\n", " ppth\n", " NaN\n", " 33.3 Practical_Salinity_Units\n", " \n", " \n", - " 51\n", + " 49\n", " 32.7\n", " ppth\n", " NaN\n", " 32.7 Practical_Salinity_Units\n", " \n", " \n", - " 79\n", - " 0.21\n", - " ppth\n", + " 88\n", + " 30.48\n", + " ppt\n", " NaN\n", - " 0.21 Practical_Salinity_Units\n", + " 30.48 Practical_Salinity_Units\n", " \n", " \n", - " 86\n", - " 31.24\n", - " ppt\n", + " 96\n", + " 0.21\n", + " ppth\n", " NaN\n", - " 31.24 Practical_Salinity_Units\n", + " 0.21 Practical_Salinity_Units\n", " \n", " \n", - " 104\n", - " 30.48\n", - " ppt\n", + " 98\n", + " 12.3\n", + " ppth\n", " NaN\n", - " 30.48 Practical_Salinity_Units\n", + " 12.3 Practical_Salinity_Units\n", " \n", " \n", " ...\n", @@ -4184,35 +4441,35 @@ " ...\n", " \n", " \n", - " 412242\n", + " 415403\n", " 9.9\n", " PSU\n", " NaN\n", " 9.9 Practical_Salinity_Units\n", " \n", " \n", - " 412847\n", + " 416008\n", " 4.6\n", " PSU\n", " NaN\n", " 4.6 Practical_Salinity_Units\n", " \n", " \n", - " 412947\n", + " 416108\n", " 21.0\n", " PSU\n", " NaN\n", " 21.0 Practical_Salinity_Units\n", " \n", " \n", - " 412960\n", + " 416121\n", " 18.7\n", " PSU\n", " NaN\n", " 18.7 Practical_Salinity_Units\n", " \n", " \n", - " 413071\n", + " 416232\n", " 10.1\n", " PSU\n", " NaN\n", @@ -4225,30 +4482,30 @@ ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag \\\n", - "37 33.3 ppth NaN \n", - "51 32.7 ppth NaN \n", - "79 0.21 ppth NaN \n", - "86 31.24 ppt NaN \n", - "104 30.48 ppt NaN \n", + "21 33.3 ppth NaN \n", + "49 32.7 ppth NaN \n", + "88 30.48 ppt NaN \n", + "96 0.21 ppth NaN \n", + "98 12.3 ppth NaN \n", "... ... ... ... \n", - "412242 9.9 PSU NaN \n", - "412847 4.6 PSU NaN \n", - "412947 21.0 PSU NaN \n", - "412960 18.7 PSU NaN \n", - "413071 10.1 PSU NaN \n", + "415403 9.9 PSU NaN \n", + "416008 4.6 PSU NaN \n", + "416108 21.0 PSU NaN \n", + "416121 18.7 PSU NaN \n", + "416232 10.1 PSU NaN \n", "\n", " Salinity \n", - "37 33.3 Practical_Salinity_Units \n", - "51 32.7 Practical_Salinity_Units \n", - "79 0.21 Practical_Salinity_Units \n", - "86 31.24 Practical_Salinity_Units \n", - "104 30.48 Practical_Salinity_Units \n", + "21 33.3 Practical_Salinity_Units \n", + "49 32.7 Practical_Salinity_Units \n", + "88 30.48 Practical_Salinity_Units \n", + "96 0.21 Practical_Salinity_Units \n", + "98 12.3 Practical_Salinity_Units \n", "... ... \n", - "412242 9.9 Practical_Salinity_Units \n", - "412847 4.6 Practical_Salinity_Units \n", - "412947 21.0 Practical_Salinity_Units \n", - "412960 18.7 Practical_Salinity_Units \n", - "413071 10.1 Practical_Salinity_Units \n", + "415403 9.9 Practical_Salinity_Units \n", + "416008 4.6 Practical_Salinity_Units \n", + "416108 21.0 Practical_Salinity_Units \n", + "416121 18.7 Practical_Salinity_Units \n", + "416232 10.1 Practical_Salinity_Units \n", "\n", "[30972 rows x 4 columns]" ] @@ -4273,18 +4530,29 @@ { "cell_type": "code", "execution_count": 51, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:54.763285Z", + "iopub.status.busy": "2024-08-16T20:36:54.762922Z", + "iopub.status.idle": "2024-08-16T20:36:59.645988Z", + "shell.execute_reply": "2024-08-16T20:36:59.645354Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\wq_data.py:379: UserWarning: WARNING: 'cm3/g' UNDEFINED UNIT for Nitrogen\n", - " warn(\"WARNING: \" + problem)\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\construction.py:616: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " data = np.array(data, copy=copy)\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'cm3/g' UNDEFINED UNIT for Nitrogen\n", + " warn(\"WARNING: \" + problem)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/pandas/core/construction.py:616: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", + " data = np.array(data, copy=copy)\n" ] }, { @@ -4308,7 +4576,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -4325,7 +4593,14 @@ { "cell_type": "code", "execution_count": 52, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:59.648468Z", + "iopub.status.busy": "2024-08-16T20:36:59.648064Z", + "iopub.status.idle": "2024-08-16T20:36:59.681223Z", + "shell.execute_reply": "2024-08-16T20:36:59.680619Z" + } + }, "outputs": [ { "data": { @@ -4363,28 +4638,28 @@ " 0.926976 milligram / liter\n", " \n", " \n", - " 768\n", + " 751\n", " 1.571196\n", " mg/L\n", " NaN\n", " 1.571196 milligram / liter\n", " \n", " \n", - " 771\n", + " 757\n", " 0.816144\n", " mg/L\n", " NaN\n", " 0.816144 milligram / liter\n", " \n", " \n", - " 1020\n", + " 1018\n", " 0.848832\n", " mg/L\n", " NaN\n", " 0.848832 milligram / liter\n", " \n", " \n", - " 1066\n", + " 1063\n", " 0.770448\n", " mg/L\n", " NaN\n", @@ -4398,35 +4673,35 @@ " ...\n", " \n", " \n", - " 413267\n", + " 416428\n", " 0.119\n", " mg/l\n", " NaN\n", " 0.119 milligram / liter\n", " \n", " \n", - " 413325\n", + " 416486\n", " NaN\n", " NaN\n", " ResultMeasureValue: missing (NaN) result; Resu...\n", " NaN\n", " \n", " \n", - " 413368\n", + " 416529\n", " NaN\n", " NaN\n", " ResultMeasureValue: missing (NaN) result; Resu...\n", " NaN\n", " \n", " \n", - " 413374\n", + " 416535\n", " NaN\n", " NaN\n", " ResultMeasureValue: missing (NaN) result; Resu...\n", " NaN\n", " \n", " \n", - " 413411\n", + " 416572\n", " NaN\n", " NaN\n", " ResultMeasureValue: missing (NaN) result; Resu...\n", @@ -4440,42 +4715,42 @@ "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode \\\n", "648 0.926976 mg/L \n", - "768 1.571196 mg/L \n", - "771 0.816144 mg/L \n", - "1020 0.848832 mg/L \n", - "1066 0.770448 mg/L \n", + "751 1.571196 mg/L \n", + "757 0.816144 mg/L \n", + "1018 0.848832 mg/L \n", + "1063 0.770448 mg/L \n", "... ... ... \n", - "413267 0.119 mg/l \n", - "413325 NaN NaN \n", - "413368 NaN NaN \n", - "413374 NaN NaN \n", - "413411 NaN NaN \n", + "416428 0.119 mg/l \n", + "416486 NaN NaN \n", + "416529 NaN NaN \n", + "416535 NaN NaN \n", + "416572 NaN NaN \n", "\n", " QA_flag \\\n", "648 NaN \n", - "768 NaN \n", - "771 NaN \n", - "1020 NaN \n", - "1066 NaN \n", + "751 NaN \n", + "757 NaN \n", + "1018 NaN \n", + "1063 NaN \n", "... ... \n", - "413267 NaN \n", - "413325 ResultMeasureValue: missing (NaN) result; Resu... \n", - "413368 ResultMeasureValue: missing (NaN) result; Resu... \n", - "413374 ResultMeasureValue: missing (NaN) result; Resu... \n", - "413411 ResultMeasureValue: missing (NaN) result; Resu... \n", + "416428 NaN \n", + "416486 ResultMeasureValue: missing (NaN) result; Resu... \n", + "416529 ResultMeasureValue: missing (NaN) result; Resu... \n", + "416535 ResultMeasureValue: missing (NaN) result; Resu... \n", + "416572 ResultMeasureValue: missing (NaN) result; Resu... \n", "\n", " Nitrogen \n", "648 0.926976 milligram / liter \n", - "768 1.571196 milligram / liter \n", - "771 0.816144 milligram / liter \n", - "1020 0.848832 milligram / liter \n", - "1066 0.770448 milligram / liter \n", + "751 1.571196 milligram / liter \n", + "757 0.816144 milligram / liter \n", + "1018 0.848832 milligram / liter \n", + "1063 0.770448 milligram / liter \n", "... ... \n", - "413267 0.119 milligram / liter \n", - "413325 NaN \n", - "413368 NaN \n", - "413374 NaN \n", - "413411 NaN \n", + "416428 0.119 milligram / liter \n", + "416486 NaN \n", + "416529 NaN \n", + "416535 NaN \n", + "416572 NaN \n", "\n", "[2652 rows x 4 columns]" ] @@ -4500,16 +4775,21 @@ { "cell_type": "code", "execution_count": 53, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:36:59.683349Z", + "iopub.status.busy": "2024-08-16T20:36:59.683165Z", + "iopub.status.idle": "2024-08-16T20:37:01.984905Z", + "shell.execute_reply": "2024-08-16T20:37:01.984288Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\convert.py:125: UserWarning: WARNING: 'count' converted to NaN\n", - " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'count' converted to NaN\n", + " warn(f\"WARNING: '{unit}' converted to NaN\")\n" ] }, { @@ -4517,23 +4797,23 @@ "output_type": "stream", "text": [ "-Usable results-\n", - "count 1953.000000\n", - "mean 1335.828913\n", - "std 4876.924920\n", + "count 2599.000000\n", + "mean 1093.016402\n", + "std 4249.270869\n", "min 0.000000\n", - "25% 310.000000\n", - "50% 430.000000\n", - "75% 577.000000\n", + "25% 280.500000\n", + "50% 402.000000\n", + "75% 553.000000\n", "max 48600.000000\n", "dtype: float64\n", "Unusable results: 80\n", "Usable results with inferred units: 0\n", - "Results outside threshold (0.0 to 30597.378435757106): 16\n" + "Results outside threshold (0.0 to 26588.641616518235): 29\n" ] }, { "data": { - "image/png": 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", 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", 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" ] @@ -4550,7 +4830,14 @@ { "cell_type": "code", "execution_count": 54, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:01.987121Z", + "iopub.status.busy": "2024-08-16T20:37:01.986937Z", + "iopub.status.idle": "2024-08-16T20:37:02.019809Z", + "shell.execute_reply": "2024-08-16T20:37:02.019211Z" + } + }, "outputs": [ { "data": { @@ -4581,35 +4868,35 @@ " \n", " \n", " \n", - " 7\n", + " 18\n", " 349\n", " uS/cm\n", " NaN\n", " 349.0 microsiemens / centimeter\n", " \n", " \n", - " 16\n", + " 23\n", " 8\n", " count\n", " NaN\n", " NaN\n", " \n", " \n", - " 23\n", + " 36\n", " 443\n", " uS/cm\n", " NaN\n", " 443.0 microsiemens / centimeter\n", " \n", " \n", - " 47\n", + " 43\n", " 67.11703531\n", " uS/cm\n", " NaN\n", " 67.11703531 microsiemens / centimeter\n", " \n", " \n", - " 93\n", + " 67\n", " 590\n", " uS/cm\n", " NaN\n", @@ -4623,35 +4910,35 @@ " ...\n", " \n", " \n", - " 307112\n", + " 310223\n", " 0.431\n", " mS/cm\n", " NaN\n", " 431.0 microsiemens / centimeter\n", " \n", " \n", - " 307137\n", + " 310246\n", " 0.321\n", " mS/cm\n", " NaN\n", " 321.0 microsiemens / centimeter\n", " \n", " \n", - " 307139\n", + " 310249\n", " 0.364\n", " mS/cm\n", " NaN\n", " 364.0 microsiemens / centimeter\n", " \n", " \n", - " 307157\n", + " 310265\n", " 0.246\n", " mS/cm\n", " NaN\n", " 246.0 microsiemens / centimeter\n", " \n", " \n", - " 307158\n", + " 310266\n", " 0.607\n", " mS/cm\n", " NaN\n", @@ -4659,37 +4946,37 @@ " \n", " \n", "\n", - "

2033 rows × 4 columns

\n", + "

2679 rows × 4 columns

\n", "" ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag \\\n", - "7 349 uS/cm NaN \n", - "16 8 count NaN \n", - "23 443 uS/cm NaN \n", - "47 67.11703531 uS/cm NaN \n", - "93 590 uS/cm NaN \n", + "18 349 uS/cm NaN \n", + "23 8 count NaN \n", + "36 443 uS/cm NaN \n", + "43 67.11703531 uS/cm NaN \n", + "67 590 uS/cm NaN \n", "... ... ... ... \n", - "307112 0.431 mS/cm NaN \n", - "307137 0.321 mS/cm NaN \n", - "307139 0.364 mS/cm NaN \n", - "307157 0.246 mS/cm NaN \n", - "307158 0.607 mS/cm NaN \n", + "310223 0.431 mS/cm NaN \n", + "310246 0.321 mS/cm NaN \n", + "310249 0.364 mS/cm NaN \n", + "310265 0.246 mS/cm NaN \n", + "310266 0.607 mS/cm NaN \n", "\n", " Conductivity \n", - "7 349.0 microsiemens / centimeter \n", - "16 NaN \n", - "23 443.0 microsiemens / centimeter \n", - "47 67.11703531 microsiemens / centimeter \n", - "93 590.0 microsiemens / centimeter \n", + "18 349.0 microsiemens / centimeter \n", + "23 NaN \n", + "36 443.0 microsiemens / centimeter \n", + "43 67.11703531 microsiemens / centimeter \n", + "67 590.0 microsiemens / centimeter \n", "... ... \n", - "307112 431.0 microsiemens / centimeter \n", - "307137 321.0 microsiemens / centimeter \n", - "307139 364.0 microsiemens / centimeter \n", - "307157 246.0 microsiemens / centimeter \n", - "307158 607.0 microsiemens / centimeter \n", + "310223 431.0 microsiemens / centimeter \n", + "310246 321.0 microsiemens / centimeter \n", + "310249 364.0 microsiemens / centimeter \n", + "310265 246.0 microsiemens / centimeter \n", + "310266 607.0 microsiemens / centimeter \n", "\n", - "[2033 rows x 4 columns]" + "[2679 rows x 4 columns]" ] }, "execution_count": 54, @@ -4712,20 +4999,31 @@ { "cell_type": "code", "execution_count": 55, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:02.022025Z", + "iopub.status.busy": "2024-08-16T20:37:02.021731Z", + "iopub.status.idle": "2024-08-16T20:37:05.316222Z", + "shell.execute_reply": "2024-08-16T20:37:05.315621Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\wq_data.py:379: UserWarning: WARNING: 'ppb' UNDEFINED UNIT for Chlorophyll\n", - " warn(\"WARNING: \" + problem)\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\wq_data.py:379: UserWarning: WARNING: 'ug/cm2' UNDEFINED UNIT for Chlorophyll\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'ug/cm2' UNDEFINED UNIT for Chlorophyll\n", " warn(\"WARNING: \" + problem)\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\wq_data.py:379: UserWarning: WARNING: 'ug/m3' UNDEFINED UNIT for Chlorophyll\n", - " warn(\"WARNING: \" + problem)\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'ppb' UNDEFINED UNIT for Chlorophyll\n", + " warn(\"WARNING: \" + problem)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'ug/m3' UNDEFINED UNIT for Chlorophyll\n", + " warn(\"WARNING: \" + problem)\n" ] }, { @@ -4749,7 +5047,7 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -4766,7 +5064,14 @@ { "cell_type": "code", "execution_count": 56, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:05.318875Z", + "iopub.status.busy": "2024-08-16T20:37:05.318350Z", + "iopub.status.idle": "2024-08-16T20:37:05.353953Z", + "shell.execute_reply": "2024-08-16T20:37:05.353420Z" + } + }, "outputs": [ { "data": { @@ -4797,35 +5102,35 @@ " \n", " \n", " \n", - " 1\n", + " 2\n", " 4.0\n", " mg/m3\n", " NaN\n", " 0.004000000000000001 milligram / liter\n", " \n", " \n", - " 148\n", + " 181\n", " 5.50\n", " ug/L\n", " NaN\n", " 0.0055 milligram / liter\n", " \n", " \n", - " 314\n", + " 342\n", " 9.48\n", " ug/L\n", " NaN\n", " 0.00948 milligram / liter\n", " \n", " \n", - " 558\n", + " 584\n", " 3.0\n", " mg/m3\n", " NaN\n", " 0.003000000000000001 milligram / liter\n", " \n", " \n", - " 781\n", + " 778\n", " NaN\n", " mg/m3\n", " ResultMeasureValue: missing (NaN) result\n", @@ -4839,35 +5144,35 @@ " ...\n", " \n", " \n", - " 413151\n", + " 416312\n", " 0.5\n", " ug/l\n", " NaN\n", " 0.0005 milligram / liter\n", " \n", " \n", - " 413158\n", + " 416319\n", " 2.5\n", " ug/l\n", " NaN\n", " 0.0025 milligram / liter\n", " \n", " \n", - " 413171\n", + " 416332\n", " 0.7\n", " ug/l\n", " NaN\n", " 0.0007 milligram / liter\n", " \n", " \n", - " 413204\n", + " 416365\n", " 1.1\n", " ug/l\n", " NaN\n", " 0.0011 milligram / liter\n", " \n", " \n", - " 413259\n", + " 416420\n", " 0.7\n", " ug/l\n", " NaN\n", @@ -4880,43 +5185,43 @@ ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode \\\n", - "1 4.0 mg/m3 \n", - "148 5.50 ug/L \n", - "314 9.48 ug/L \n", - "558 3.0 mg/m3 \n", - "781 NaN mg/m3 \n", + "2 4.0 mg/m3 \n", + "181 5.50 ug/L \n", + "342 9.48 ug/L \n", + "584 3.0 mg/m3 \n", + "778 NaN mg/m3 \n", "... ... ... \n", - "413151 0.5 ug/l \n", - "413158 2.5 ug/l \n", - "413171 0.7 ug/l \n", - "413204 1.1 ug/l \n", - "413259 0.7 ug/l \n", + "416312 0.5 ug/l \n", + "416319 2.5 ug/l \n", + "416332 0.7 ug/l \n", + "416365 1.1 ug/l \n", + "416420 0.7 ug/l \n", "\n", " QA_flag \\\n", - "1 NaN \n", - "148 NaN \n", - "314 NaN \n", - "558 NaN \n", - "781 ResultMeasureValue: missing (NaN) result \n", + "2 NaN \n", + "181 NaN \n", + "342 NaN \n", + "584 NaN \n", + "778 ResultMeasureValue: missing (NaN) result \n", "... ... \n", - "413151 NaN \n", - "413158 NaN \n", - "413171 NaN \n", - "413204 NaN \n", - "413259 NaN \n", + "416312 NaN \n", + "416319 NaN \n", + "416332 NaN \n", + "416365 NaN \n", + "416420 NaN \n", "\n", " Chlorophyll \n", - "1 0.004000000000000001 milligram / liter \n", - "148 0.0055 milligram / liter \n", - "314 0.00948 milligram / liter \n", - "558 0.003000000000000001 milligram / liter \n", - "781 NaN \n", + "2 0.004000000000000001 milligram / liter \n", + "181 0.0055 milligram / liter \n", + "342 0.00948 milligram / liter \n", + "584 0.003000000000000001 milligram / liter \n", + "778 NaN \n", "... ... \n", - "413151 0.0005 milligram / liter \n", - "413158 0.0025 milligram / liter \n", - "413171 0.0007 milligram / liter \n", - "413204 0.0011 milligram / liter \n", - "413259 0.0007 milligram / liter \n", + "416312 0.0005 milligram / liter \n", + "416319 0.0025 milligram / liter \n", + "416332 0.0007 milligram / liter \n", + "416365 0.0011 milligram / liter \n", + "416420 0.0007 milligram / liter \n", "\n", "[4358 rows x 4 columns]" ] @@ -4941,16 +5246,15 @@ { "cell_type": "code", "execution_count": 57, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:05.356060Z", + "iopub.status.busy": "2024-08-16T20:37:05.355881Z", + "iopub.status.idle": "2024-08-16T20:37:08.231270Z", + "shell.execute_reply": "2024-08-16T20:37:08.230648Z" + } + }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" - ] - }, { "name": "stdout", "output_type": "stream", @@ -4972,7 +5276,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -4989,7 +5293,14 @@ { "cell_type": "code", "execution_count": 58, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:08.234316Z", + "iopub.status.busy": "2024-08-16T20:37:08.233893Z", + "iopub.status.idle": "2024-08-16T20:37:08.272406Z", + "shell.execute_reply": "2024-08-16T20:37:08.271908Z" + } + }, "outputs": [ { "data": { @@ -5020,35 +5331,35 @@ " \n", " \n", " \n", - " 839\n", + " 835\n", " 7.05\n", " mg/L\n", " NaN\n", " 7.05 milligram / liter\n", " \n", " \n", - " 916\n", + " 945\n", " 7.57\n", " mg/L\n", " NaN\n", " 7.57 milligram / liter\n", " \n", " \n", - " 963\n", + " 972\n", " 3.5\n", " mg/L\n", " NaN\n", " 3.5 milligram / liter\n", " \n", " \n", - " 2456\n", + " 2545\n", " 3.8\n", " mg/L\n", " NaN\n", " 3.8 milligram / liter\n", " \n", " \n", - " 3210\n", + " 3288\n", " 3.7\n", " mg/L\n", " NaN\n", @@ -5062,35 +5373,35 @@ " ...\n", " \n", " \n", - " 413255\n", + " 416416\n", " 7.01\n", " mg/l\n", " NaN\n", " 7.01 milligram / liter\n", " \n", " \n", - " 413324\n", + " 416485\n", " 5.96\n", " mg/l\n", " NaN\n", " 5.96 milligram / liter\n", " \n", " \n", - " 413367\n", + " 416528\n", " 4.1\n", " mg/l\n", " NaN\n", " 4.1 milligram / liter\n", " \n", " \n", - " 413373\n", + " 416534\n", " 7.79\n", " mg/l\n", " NaN\n", " 7.79 milligram / liter\n", " \n", " \n", - " 413410\n", + " 416571\n", " 5.79\n", " mg/l\n", " NaN\n", @@ -5103,30 +5414,30 @@ ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag \\\n", - "839 7.05 mg/L NaN \n", - "916 7.57 mg/L NaN \n", - "963 3.5 mg/L NaN \n", - "2456 3.8 mg/L NaN \n", - "3210 3.7 mg/L NaN \n", + "835 7.05 mg/L NaN \n", + "945 7.57 mg/L NaN \n", + "972 3.5 mg/L NaN \n", + "2545 3.8 mg/L NaN \n", + "3288 3.7 mg/L NaN \n", "... ... ... ... \n", - "413255 7.01 mg/l NaN \n", - "413324 5.96 mg/l NaN \n", - "413367 4.1 mg/l NaN \n", - "413373 7.79 mg/l NaN \n", - "413410 5.79 mg/l NaN \n", + "416416 7.01 mg/l NaN \n", + "416485 5.96 mg/l NaN \n", + "416528 4.1 mg/l NaN \n", + "416534 7.79 mg/l NaN \n", + "416571 5.79 mg/l NaN \n", "\n", " Carbon \n", - "839 7.05 milligram / liter \n", - "916 7.57 milligram / liter \n", - "963 3.5 milligram / liter \n", - "2456 3.8 milligram / liter \n", - "3210 3.7 milligram / liter \n", + "835 7.05 milligram / liter \n", + "945 7.57 milligram / liter \n", + "972 3.5 milligram / liter \n", + "2545 3.8 milligram / liter \n", + "3288 3.7 milligram / liter \n", "... ... \n", - "413255 7.01 milligram / liter \n", - "413324 5.96 milligram / liter \n", - "413367 4.1 milligram / liter \n", - "413373 7.79 milligram / liter \n", - "413410 5.79 milligram / liter \n", + "416416 7.01 milligram / liter \n", + "416485 5.96 milligram / liter \n", + "416528 4.1 milligram / liter \n", + "416534 7.79 milligram / liter \n", + "416571 5.79 milligram / liter \n", "\n", "[6205 rows x 4 columns]" ] @@ -5151,17 +5462,28 @@ { "cell_type": "code", "execution_count": 59, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:08.274759Z", + "iopub.status.busy": "2024-08-16T20:37:08.274370Z", + "iopub.status.idle": "2024-08-16T20:37:12.308369Z", + "shell.execute_reply": "2024-08-16T20:37:12.307803Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:146: UserWarning: Bad Turbidity unit: count\n", - " warn(f'Bad Turbidity unit: {unit}')\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\convert.py:125: UserWarning: WARNING: 'count' converted to NaN\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/harmonize.py:149: UserWarning: Bad Turbidity unit: count\n", + " warn(f\"Bad Turbidity unit: {unit}\")\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'count' converted to NaN\n", " warn(f\"WARNING: '{unit}' converted to NaN\")\n" ] }, @@ -5170,23 +5492,23 @@ "output_type": "stream", "text": [ "-Usable results-\n", - "count 25009.000000\n", - "mean 20.559190\n", - "std 83.962653\n", + "count 25833.000000\n", + "mean 20.034423\n", + "std 82.668605\n", "min -999.000000\n", - "25% 1.560000\n", - "50% 3.250000\n", - "75% 7.200000\n", + "25% 1.550000\n", + "50% 3.200000\n", + "75% 7.100000\n", "max 4100.000000\n", "dtype: float64\n", "Unusable results: 547\n", "Usable results with inferred units: 275\n", - "Results outside threshold (0.0 to 524.335104937954): 159\n" + "Results outside threshold (0.0 to 516.0460525509235): 168\n" ] }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -5203,7 +5525,14 @@ { "cell_type": "code", "execution_count": 60, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:12.310830Z", + "iopub.status.busy": "2024-08-16T20:37:12.310454Z", + "iopub.status.idle": "2024-08-16T20:37:12.371239Z", + "shell.execute_reply": "2024-08-16T20:37:12.370690Z" + } + }, "outputs": [ { "data": { @@ -5234,39 +5563,39 @@ " \n", " \n", " \n", - " 0\n", + " 1\n", " 4.2\n", " NTU\n", " NaN\n", " 4.2 Nephelometric_Turbidity_Units\n", " \n", " \n", - " 4\n", + " 5\n", " 1.3\n", " NTU\n", " NaN\n", " 1.3 Nephelometric_Turbidity_Units\n", " \n", " \n", - " 17\n", - " 2.1\n", + " 10\n", + " 7.9\n", " NTU\n", " NaN\n", - " 2.1 Nephelometric_Turbidity_Units\n", + " 7.9 Nephelometric_Turbidity_Units\n", " \n", " \n", - " 21\n", - " 1.3\n", + " 20\n", + " 1.5\n", " NTU\n", " NaN\n", - " 1.3 Nephelometric_Turbidity_Units\n", + " 1.5 Nephelometric_Turbidity_Units\n", " \n", " \n", - " 28\n", - " .69\n", + " 25\n", + " 2.1\n", " NTU\n", " NaN\n", - " 0.69 Nephelometric_Turbidity_Units\n", + " 2.1 Nephelometric_Turbidity_Units\n", " \n", " \n", " ...\n", @@ -5276,35 +5605,35 @@ " ...\n", " \n", " \n", - " 413428\n", + " 416589\n", " 1.6\n", " NTRU\n", " NaN\n", " 1.6 Nephelometric_Turbidity_Units\n", " \n", " \n", - " 413438\n", + " 416599\n", " 5.8\n", " NTRU\n", " NaN\n", " 5.8 Nephelometric_Turbidity_Units\n", " \n", " \n", - " 413442\n", + " 416603\n", " 2.1\n", " NTRU\n", " NaN\n", " 2.1 Nephelometric_Turbidity_Units\n", " \n", " \n", - " 413446\n", + " 416607\n", " 2.9\n", " NTRU\n", " NaN\n", " 2.9 Nephelometric_Turbidity_Units\n", " \n", " \n", - " 413450\n", + " 416611\n", " 2.7\n", " NTRU\n", " NaN\n", @@ -5312,37 +5641,37 @@ " \n", " \n", "\n", - "

25556 rows × 4 columns

\n", + "

26380 rows × 4 columns

\n", "" ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag \\\n", - "0 4.2 NTU NaN \n", - "4 1.3 NTU NaN \n", - "17 2.1 NTU NaN \n", - "21 1.3 NTU NaN \n", - "28 .69 NTU NaN \n", + "1 4.2 NTU NaN \n", + "5 1.3 NTU NaN \n", + "10 7.9 NTU NaN \n", + "20 1.5 NTU NaN \n", + "25 2.1 NTU NaN \n", "... ... ... ... \n", - "413428 1.6 NTRU NaN \n", - "413438 5.8 NTRU NaN \n", - "413442 2.1 NTRU NaN \n", - "413446 2.9 NTRU NaN \n", - "413450 2.7 NTRU NaN \n", - "\n", - " Turbidity \n", - "0 4.2 Nephelometric_Turbidity_Units \n", - "4 1.3 Nephelometric_Turbidity_Units \n", - "17 2.1 Nephelometric_Turbidity_Units \n", - "21 1.3 Nephelometric_Turbidity_Units \n", - "28 0.69 Nephelometric_Turbidity_Units \n", - "... ... \n", - "413428 1.6 Nephelometric_Turbidity_Units \n", - "413438 5.8 Nephelometric_Turbidity_Units \n", - "413442 2.1 Nephelometric_Turbidity_Units \n", - "413446 2.9 Nephelometric_Turbidity_Units \n", - "413450 2.7 Nephelometric_Turbidity_Units \n", - "\n", - "[25556 rows x 4 columns]" + "416589 1.6 NTRU NaN \n", + "416599 5.8 NTRU NaN \n", + "416603 2.1 NTRU NaN \n", + "416607 2.9 NTRU NaN \n", + "416611 2.7 NTRU NaN \n", + "\n", + " Turbidity \n", + "1 4.2 Nephelometric_Turbidity_Units \n", + "5 1.3 Nephelometric_Turbidity_Units \n", + "10 7.9 Nephelometric_Turbidity_Units \n", + "20 1.5 Nephelometric_Turbidity_Units \n", + "25 2.1 Nephelometric_Turbidity_Units \n", + "... ... \n", + "416589 1.6 Nephelometric_Turbidity_Units \n", + "416599 5.8 Nephelometric_Turbidity_Units \n", + "416603 2.1 Nephelometric_Turbidity_Units \n", + "416607 2.9 Nephelometric_Turbidity_Units \n", + "416611 2.7 Nephelometric_Turbidity_Units \n", + "\n", + "[26380 rows x 4 columns]" ] }, "execution_count": 60, @@ -5365,13 +5694,20 @@ { "cell_type": "code", "execution_count": 61, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:12.373598Z", + "iopub.status.busy": "2024-08-16T20:37:12.373230Z", + "iopub.status.idle": "2024-08-16T20:37:13.796128Z", + "shell.execute_reply": "2024-08-16T20:37:13.795571Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\convert.py:125: UserWarning: WARNING: 'g / H2O' converted to NaN\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'g / H2O' converted to NaN\n", " warn(f\"WARNING: '{unit}' converted to NaN\")\n" ] } @@ -5384,7 +5720,14 @@ { "cell_type": "code", "execution_count": 62, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:13.798440Z", + "iopub.status.busy": "2024-08-16T20:37:13.798061Z", + "iopub.status.idle": "2024-08-16T20:37:13.828479Z", + "shell.execute_reply": "2024-08-16T20:37:13.827920Z" + } + }, "outputs": [ { "data": { @@ -5415,35 +5758,35 @@ " \n", " \n", " \n", - " 371046\n", + " 374162\n", " 0.012\n", " g\n", " NaN\n", " NaN\n", " \n", " \n", - " 371047\n", + " 374163\n", " 0.0037\n", " g\n", " NaN\n", " NaN\n", " \n", " \n", - " 371048\n", + " 374164\n", " 0.0048\n", " g\n", " NaN\n", " NaN\n", " \n", " \n", - " 371049\n", + " 374165\n", " 0.001\n", " g\n", " NaN\n", " NaN\n", " \n", " \n", - " 371050\n", + " 374166\n", " 0.0088\n", " g\n", " NaN\n", @@ -5457,35 +5800,35 @@ " ...\n", " \n", " \n", - " 412517\n", + " 415678\n", " 0.0051\n", " g\n", " NaN\n", " NaN\n", " \n", " \n", - " 412591\n", + " 415752\n", " 0.0025\n", " g\n", " NaN\n", " NaN\n", " \n", " \n", - " 412663\n", + " 415824\n", " 0.002\n", " g\n", " NaN\n", " NaN\n", " \n", " \n", - " 412702\n", + " 415863\n", " 0.0023\n", " g\n", " NaN\n", " NaN\n", " \n", " \n", - " 412748\n", + " 415909\n", " 0.0014\n", " g\n", " NaN\n", @@ -5498,17 +5841,17 @@ ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag Sediment\n", - "371046 0.012 g NaN NaN\n", - "371047 0.0037 g NaN NaN\n", - "371048 0.0048 g NaN NaN\n", - "371049 0.001 g NaN NaN\n", - "371050 0.0088 g NaN NaN\n", + "374162 0.012 g NaN NaN\n", + "374163 0.0037 g NaN NaN\n", + "374164 0.0048 g NaN NaN\n", + "374165 0.001 g NaN NaN\n", + "374166 0.0088 g NaN NaN\n", "... ... ... ... ...\n", - "412517 0.0051 g NaN NaN\n", - "412591 0.0025 g NaN NaN\n", - "412663 0.002 g NaN NaN\n", - "412702 0.0023 g NaN NaN\n", - "412748 0.0014 g NaN NaN\n", + "415678 0.0051 g NaN NaN\n", + "415752 0.0025 g NaN NaN\n", + "415824 0.002 g NaN NaN\n", + "415863 0.0023 g NaN NaN\n", + "415909 0.0014 g NaN NaN\n", "\n", "[4410 rows x 4 columns]" ] @@ -5540,23 +5883,34 @@ { "cell_type": "code", "execution_count": 63, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:13.830778Z", + "iopub.status.busy": "2024-08-16T20:37:13.830415Z", + "iopub.status.idle": "2024-08-16T20:37:19.009148Z", + "shell.execute_reply": "2024-08-16T20:37:19.008527Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\construction.py:616: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " data = np.array(data, copy=copy)\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/pandas/core/construction.py:616: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", + " data = np.array(data, copy=copy)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2 Phosphorus sample fractions not in frac_dict\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2 Phosphorus sample fractions not in frac_dict\n", "2 Phosphorus sample fractions not in frac_dict found in expected domains, mapped to \"Other_Phosphorus\"\n" ] } @@ -5576,7 +5930,14 @@ { "cell_type": "code", "execution_count": 64, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:19.011990Z", + "iopub.status.busy": "2024-08-16T20:37:19.011629Z", + "iopub.status.idle": "2024-08-16T20:37:19.473753Z", + "shell.execute_reply": "2024-08-16T20:37:19.473221Z" + } + }, "outputs": [ { "data": { @@ -5607,35 +5968,35 @@ " \n", " \n", " \n", - " 20\n", - " 0.05\n", + " 27\n", + " 0.024\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 24\n", - " 0.027\n", + " 30\n", + " 0.05\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 39\n", - " 0.024\n", + " 38\n", + " 0.027\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 49\n", + " 46\n", " 0.059712\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 107\n", + " 93\n", " 0.049\n", " mg/L\n", " NaN\n", @@ -5649,35 +6010,35 @@ " ...\n", " \n", " \n", - " 412724\n", + " 415885\n", " 0.006\n", " mg/l as P\n", " NaN\n", " 0.006 milligram / liter\n", " \n", " \n", - " 412736\n", + " 415897\n", " 0.016\n", " mg/l as P\n", " NaN\n", " NaN\n", " \n", " \n", - " 412737\n", + " 415898\n", " 0.008\n", " mg/l as P\n", " NaN\n", " 0.008 milligram / liter\n", " \n", " \n", - " 412744\n", + " 415905\n", " 0.047\n", " mg/l as P\n", " NaN\n", " NaN\n", " \n", " \n", - " 412745\n", + " 415906\n", " 0.028\n", " mg/l as P\n", " NaN\n", @@ -5690,30 +6051,30 @@ ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag \\\n", - "20 0.05 mg/L NaN \n", - "24 0.027 mg/L NaN \n", - "39 0.024 mg/L NaN \n", - "49 0.059712 mg/L NaN \n", - "107 0.049 mg/L NaN \n", + "27 0.024 mg/L NaN \n", + "30 0.05 mg/L NaN \n", + "38 0.027 mg/L NaN \n", + "46 0.059712 mg/L NaN \n", + "93 0.049 mg/L NaN \n", "... ... ... ... \n", - "412724 0.006 mg/l as P NaN \n", - "412736 0.016 mg/l as P NaN \n", - "412737 0.008 mg/l as P NaN \n", - "412744 0.047 mg/l as P NaN \n", - "412745 0.028 mg/l as P NaN \n", + "415885 0.006 mg/l as P NaN \n", + "415897 0.016 mg/l as P NaN \n", + "415898 0.008 mg/l as P NaN \n", + "415905 0.047 mg/l as P NaN \n", + "415906 0.028 mg/l as P NaN \n", "\n", " TDP_Phosphorus \n", - "20 NaN \n", - "24 NaN \n", - "39 NaN \n", - "49 NaN \n", - "107 NaN \n", + "27 NaN \n", + "30 NaN \n", + "38 NaN \n", + "46 NaN \n", + "93 NaN \n", "... ... \n", - "412724 0.006 milligram / liter \n", - "412736 NaN \n", - "412737 0.008 milligram / liter \n", - "412744 NaN \n", - "412745 0.028 milligram / liter \n", + "415885 0.006 milligram / liter \n", + "415897 NaN \n", + "415898 0.008 milligram / liter \n", + "415905 NaN \n", + "415906 0.028 milligram / liter \n", "\n", "[15994 rows x 4 columns]" ] @@ -5732,7 +6093,14 @@ { "cell_type": "code", "execution_count": 65, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:19.476060Z", + "iopub.status.busy": "2024-08-16T20:37:19.475692Z", + "iopub.status.idle": "2024-08-16T20:37:19.511466Z", + "shell.execute_reply": "2024-08-16T20:37:19.510886Z" + } + }, "outputs": [ { "data": { @@ -5763,35 +6131,35 @@ " \n", " \n", " \n", - " 20\n", - " 0.05\n", + " 27\n", + " 0.024\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 24\n", - " 0.027\n", + " 30\n", + " 0.05\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 39\n", - " 0.024\n", + " 38\n", + " 0.027\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 49\n", + " 46\n", " 0.059712\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 107\n", + " 93\n", " 0.049\n", " mg/L\n", " NaN\n", @@ -5805,35 +6173,35 @@ " ...\n", " \n", " \n", - " 412698\n", + " 415859\n", " 0.036\n", " mg/l as P\n", " NaN\n", " NaN\n", " \n", " \n", - " 412709\n", + " 415870\n", " 0.021\n", " mg/l as P\n", " NaN\n", " NaN\n", " \n", " \n", - " 412723\n", + " 415884\n", " 0.011\n", " mg/l as P\n", " NaN\n", " NaN\n", " \n", " \n", - " 412736\n", + " 415897\n", " 0.016\n", " mg/l as P\n", " NaN\n", " NaN\n", " \n", " \n", - " 412744\n", + " 415905\n", " 0.047\n", " mg/l as P\n", " NaN\n", @@ -5846,17 +6214,17 @@ ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag TDP_Phosphorus\n", - "20 0.05 mg/L NaN NaN\n", - "24 0.027 mg/L NaN NaN\n", - "39 0.024 mg/L NaN NaN\n", - "49 0.059712 mg/L NaN NaN\n", - "107 0.049 mg/L NaN NaN\n", + "27 0.024 mg/L NaN NaN\n", + "30 0.05 mg/L NaN NaN\n", + "38 0.027 mg/L NaN NaN\n", + "46 0.059712 mg/L NaN NaN\n", + "93 0.049 mg/L NaN NaN\n", "... ... ... ... ...\n", - "412698 0.036 mg/l as P NaN NaN\n", - "412709 0.021 mg/l as P NaN NaN\n", - "412723 0.011 mg/l as P NaN NaN\n", - "412736 0.016 mg/l as P NaN NaN\n", - "412744 0.047 mg/l as P NaN NaN\n", + "415859 0.036 mg/l as P NaN NaN\n", + "415870 0.021 mg/l as P NaN NaN\n", + "415884 0.011 mg/l as P NaN NaN\n", + "415897 0.016 mg/l as P NaN NaN\n", + "415905 0.047 mg/l as P NaN NaN\n", "\n", "[10721 rows x 4 columns]" ] @@ -5874,7 +6242,14 @@ { "cell_type": "code", "execution_count": 66, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:19.513837Z", + "iopub.status.busy": "2024-08-16T20:37:19.513460Z", + "iopub.status.idle": "2024-08-16T20:37:19.538313Z", + "shell.execute_reply": "2024-08-16T20:37:19.537724Z" + } + }, "outputs": [ { "data": { @@ -5905,35 +6280,35 @@ " \n", " \n", " \n", - " 39036\n", + " 40115\n", " 0.023\n", " ppm\n", " NaN\n", " 0.023000000000000003 milligram / liter\n", " \n", " \n", - " 41424\n", + " 42563\n", " 0.035\n", " ppm\n", " NaN\n", " 0.03500000000000001 milligram / liter\n", " \n", " \n", - " 42544\n", + " 43712\n", " 0.017\n", " ppm\n", " NaN\n", " 0.017000000000000005 milligram / liter\n", " \n", " \n", - " 42631\n", + " 43817\n", " 0.015\n", " ppm\n", " NaN\n", " 0.015000000000000003 milligram / liter\n", " \n", " \n", - " 43518\n", + " 44687\n", " 0.015\n", " ppm\n", " NaN\n", @@ -5947,35 +6322,35 @@ " ...\n", " \n", " \n", - " 412699\n", + " 415860\n", " 0.015\n", " mg/l as P\n", " NaN\n", " 0.015 milligram / liter\n", " \n", " \n", - " 412710\n", + " 415871\n", " 0.005\n", " mg/l as P\n", " NaN\n", " 0.005 milligram / liter\n", " \n", " \n", - " 412724\n", + " 415885\n", " 0.006\n", " mg/l as P\n", " NaN\n", " 0.006 milligram / liter\n", " \n", " \n", - " 412737\n", + " 415898\n", " 0.008\n", " mg/l as P\n", " NaN\n", " 0.008 milligram / liter\n", " \n", " \n", - " 412745\n", + " 415906\n", " 0.028\n", " mg/l as P\n", " NaN\n", @@ -5988,30 +6363,30 @@ ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag \\\n", - "39036 0.023 ppm NaN \n", - "41424 0.035 ppm NaN \n", - "42544 0.017 ppm NaN \n", - "42631 0.015 ppm NaN \n", - "43518 0.015 ppm NaN \n", + "40115 0.023 ppm NaN \n", + "42563 0.035 ppm NaN \n", + "43712 0.017 ppm NaN \n", + "43817 0.015 ppm NaN \n", + "44687 0.015 ppm NaN \n", "... ... ... ... \n", - "412699 0.015 mg/l as P NaN \n", - "412710 0.005 mg/l as P NaN \n", - "412724 0.006 mg/l as P NaN \n", - "412737 0.008 mg/l as P NaN \n", - "412745 0.028 mg/l as P NaN \n", + "415860 0.015 mg/l as P NaN \n", + "415871 0.005 mg/l as P NaN \n", + "415885 0.006 mg/l as P NaN \n", + "415898 0.008 mg/l as P NaN \n", + "415906 0.028 mg/l as P NaN \n", "\n", " TDP_Phosphorus \n", - "39036 0.023000000000000003 milligram / liter \n", - "41424 0.03500000000000001 milligram / liter \n", - "42544 0.017000000000000005 milligram / liter \n", - "42631 0.015000000000000003 milligram / liter \n", - "43518 0.015000000000000003 milligram / liter \n", + "40115 0.023000000000000003 milligram / liter \n", + "42563 0.03500000000000001 milligram / liter \n", + "43712 0.017000000000000005 milligram / liter \n", + "43817 0.015000000000000003 milligram / liter \n", + "44687 0.015000000000000003 milligram / liter \n", "... ... \n", - "412699 0.015 milligram / liter \n", - "412710 0.005 milligram / liter \n", - "412724 0.006 milligram / liter \n", - "412737 0.008 milligram / liter \n", - "412745 0.028 milligram / liter \n", + "415860 0.015 milligram / liter \n", + "415871 0.005 milligram / liter \n", + "415885 0.006 milligram / liter \n", + "415898 0.008 milligram / liter \n", + "415906 0.028 milligram / liter \n", "\n", "[4857 rows x 4 columns]" ] @@ -6029,7 +6404,14 @@ { "cell_type": "code", "execution_count": 67, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:19.540511Z", + "iopub.status.busy": "2024-08-16T20:37:19.540175Z", + "iopub.status.idle": "2024-08-16T20:37:19.557560Z", + "shell.execute_reply": "2024-08-16T20:37:19.557054Z" + } + }, "outputs": [ { "data": { @@ -6060,35 +6442,35 @@ " \n", " \n", " \n", - " 28362\n", + " 29186\n", " 0.03525375\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 28450\n", + " 29294\n", " 0.107028125\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 28991\n", + " 29827\n", " 0.0697675\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 29215\n", + " 30045\n", " 0.04356\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 29294\n", + " 30194\n", " 0.03654875\n", " mg/L\n", " NaN\n", @@ -6102,35 +6484,35 @@ " ...\n", " \n", " \n", - " 401748\n", + " 405910\n", " 530.0\n", " mg/kg\n", " NaN\n", " NaN\n", " \n", " \n", - " 403085\n", + " 407247\n", " 280.0\n", " mg/kg\n", " NaN\n", " NaN\n", " \n", " \n", - " 403859\n", + " 408021\n", " 270.0\n", " mg/kg\n", " NaN\n", " NaN\n", " \n", " \n", - " 404105\n", + " 408267\n", " 260.0\n", " mg/kg\n", " NaN\n", " NaN\n", " \n", " \n", - " 404374\n", + " 408536\n", " 1300.0\n", " mg/kg\n", " NaN\n", @@ -6143,17 +6525,17 @@ ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag TDP_Phosphorus\n", - "28362 0.03525375 mg/L NaN NaN\n", - "28450 0.107028125 mg/L NaN NaN\n", - "28991 0.0697675 mg/L NaN NaN\n", - "29215 0.04356 mg/L NaN NaN\n", - "29294 0.03654875 mg/L NaN NaN\n", + "29186 0.03525375 mg/L NaN NaN\n", + "29294 0.107028125 mg/L NaN NaN\n", + "29827 0.0697675 mg/L NaN NaN\n", + "30045 0.04356 mg/L NaN NaN\n", + "30194 0.03654875 mg/L NaN NaN\n", "... ... ... ... ...\n", - "401748 530.0 mg/kg NaN NaN\n", - "403085 280.0 mg/kg NaN NaN\n", - "403859 270.0 mg/kg NaN NaN\n", - "404105 260.0 mg/kg NaN NaN\n", - "404374 1300.0 mg/kg NaN NaN\n", + "405910 530.0 mg/kg NaN NaN\n", + "407247 280.0 mg/kg NaN NaN\n", + "408021 270.0 mg/kg NaN NaN\n", + "408267 260.0 mg/kg NaN NaN\n", + "408536 1300.0 mg/kg NaN NaN\n", "\n", "[416 rows x 4 columns]" ] @@ -6192,19 +6574,30 @@ { "cell_type": "code", "execution_count": 68, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:19.559795Z", + "iopub.status.busy": "2024-08-16T20:37:19.559613Z", + "iopub.status.idle": "2024-08-16T20:37:23.002457Z", + "shell.execute_reply": "2024-08-16T20:37:23.001932Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\convert.py:125: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n", - " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\convert.py:125: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n", " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\convert.py:125: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n", + " warn(f\"WARNING: '{unit}' converted to NaN\")\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n", " warn(f\"WARNING: '{unit}' converted to NaN\")\n" ] }, @@ -6229,7 +6622,7 @@ }, { "data": { - "image/png": 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", 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0pbXey46MnrsGeu4a6NkOzR1vq38PzF/+8hd9/PHHSklJkSRlZWXp1KlTKi0tDdfs2LFDtbW1yszMDNcUFxdHXAfz+XwaOHBgg5ePAABA19LiAHPmzBmVlZWprKxMknTs2DGVlZWpoqJCZ86c0bx587Rnzx598MEH2r59u26//XZdddVVysn57HLKNddco4kTJ2rWrFnat2+f3njjDc2ZM0d33323UlNTJUlTp06Vy+XSzJkzdfDgQW3YsEHPPPNMxCUiAADQdbU4wOzfv1/XXXedrrvuOklSfn6+rrvuOi1cuFCxsbE6cOCAbrvtNl199dWaOXOmRo0apd27d0dc3lm7dq0GDRqkcePG6dZbb9XNN98c8R0v8fHxKioq0rFjxzRq1Cg98sgjWrhwIY9QAwAASZdwD8zYsWNlzMUfIX7ttdea3EZiYqLWrVvXaM2wYcO0e/fulg4PAAB0AfwvJAAAYB0CDAAAsA4BBgAAWIcAAwAArEOAAQAA1iHAAAAA6xBgAACAdQgwAADAOgQYAABgHQIMAACwDgEGAABYhwADAACsQ4ABAADWIcAAAADrEGAAAIB1CDAAAMA6BBgAAGAdAgwAALAOAQYAAFiHAAMAAKxDgAEAANYhwAAAAOsQYAAAgHUIMAAAwDoEGAAAYB0CDAAAsA4BBgAAWIcAAwAArEOAAQAA1iHAAAAA6xBgAACAdQgwAADAOi0OMMXFxZo8ebJSU1PlcDi0cePG8LJQKKT58+dr6NCh6tmzp1JTUzV9+nR99NFHEdu48sor5XA4Il7Lli2LqDlw4IBGjx6t7t27Ky0tTcuXL7+0DgEAQKfT4gBz9uxZDR8+XKtWraq3rLq6Wm+//bYef/xxvf3223r55Zd1+PBh3XbbbfVqFy9erOPHj4dfDz30UHhZIBBQdna20tPTVVpaqhUrVqiwsFDPP/98S4cLAAA6oW4tXSE3N1e5ubkNLouPj5fP54uY9+Mf/1g33nijKioq1K9fv/D8Xr16yev1NridtWvX6vz581q9erVcLpeGDBmisrIyrVy5UrNnz27pkAEAQCfT4gDTUlVVVXI4HEpISIiYv2zZMi1ZskT9+vXT1KlTNXfuXHXr9tlwSkpKNGbMGLlcrnB9Tk6OnnzySX3yySfq3bt3vf0Eg0EFg8HwdCAQkPTZZa1QKBS1fuq25Y4xza61XV0fnaWf5qDnroGeuwZ6tktzx+wwxjT9l/hiKzsceuWVV3THHXc0uPzcuXP60pe+pEGDBmnt2rXh+StXrtTIkSOVmJioN998UwUFBfrGN76hlStXSpKys7OVkZGhn/3sZ+F1Dh06pCFDhujQoUO65ppr6u2rsLBQixYtqjd/3bp1iouLu9QWAQBAG6qurtbUqVNVVVUlj8dz0bpWOwMTCoX0ta99TcYYPffccxHL8vPzwz8PGzZMLpdL3/rWt7R06VK53e5L2l9BQUHEdgOBgNLS0pSdnd3oG9BSoVBIPp9Pj++PUbDW0WhteWFO1Pbbnup6njBhgpxOZ3sPp03QMz13VvRMzx1d3RWUprRKgKkLLx9++KF27NjRZIDIzMzUhQsX9MEHH2jgwIHyer2qrKyMqKmbvth9M263u8Hw43Q6W+XgBWsdCtY0HmBs+9A0pbXey46MnrsGeu4a6NkOzR1v1L8Hpi68vP/++9q2bZv69OnT5DplZWWKiYlRUlKSJCkrK0vFxcUR18F8Pp8GDhzY4P0vAACga2nxGZgzZ87oyJEj4eljx46prKxMiYmJSklJ0b/927/p7bff1qZNm1RTUyO/3y9JSkxMlMvlUklJifbu3atbbrlFvXr1UklJiebOnat77703HE6mTp2qRYsWaebMmZo/f77Ky8v1zDPP6KmnnopS2wAAwGYtDjD79+/XLbfcEp6uu+9kxowZKiws1G9+8xtJ0ogRIyLW+/3vf6+xY8fK7XZr/fr1KiwsVDAYVEZGhubOnRtx/0p8fLyKioqUl5enUaNGqW/fvlq4cCGPUAMAAEmXEGDGjh2rxh5cauqhppEjR2rPnj1N7mfYsGHavXt3S4cHAAC6AP4XEgAAsA4BBgAAWIcAAwAArEOAAQAA1iHAAAAA6xBgAACAdQgwAADAOgQYAABgHQIMAACwDgEGAABYhwADAACsQ4ABAADWIcAAAADrEGAAAIB1CDAAAMA6BBgAAGAdAgwAALAOAQYAAFiHAAMAAKxDgAEAANYhwAAAAOsQYAAAgHUIMAAAwDoEGAAAYB0CDAAAsA4BBgAAWIcAAwAArEOAAQAA1iHAAAAA6xBgAACAdQgwAADAOgQYAABgnRYHmOLiYk2ePFmpqalyOBzauHFjxHJjjBYuXKiUlBT16NFD48eP1/vvvx9Rc/LkSU2bNk0ej0cJCQmaOXOmzpw5E1Fz4MABjR49Wt27d1daWpqWL1/e8u4AAECn1OIAc/bsWQ0fPlyrVq1qcPny5cv1ox/9SD/96U+1d+9e9ezZUzk5OTp37ly4Ztq0aTp48KB8Pp82bdqk4uJizZ49O7w8EAgoOztb6enpKi0t1YoVK1RYWKjnn3/+EloEAACdTbeWrpCbm6vc3NwGlxlj9PTTT2vBggW6/fbbJUn//d//reTkZG3cuFF333233nvvPW3dulVvvfWWrr/+eknSs88+q1tvvVU/+MEPlJqaqrVr1+r8+fNavXq1XC6XhgwZorKyMq1cuTIi6AAAgK6pxQGmMceOHZPf79f48ePD8+Lj45WZmamSkhLdfffdKikpUUJCQji8SNL48eMVExOjvXv36qtf/apKSko0ZswYuVyucE1OTo6efPJJffLJJ+rdu3e9fQeDQQWDwfB0IBCQJIVCIYVCoaj1WLctd4xpdq3t6vroLP00Bz13DfTcNdCzXZo75qgGGL/fL0lKTk6OmJ+cnBxe5vf7lZSUFDmIbt2UmJgYUZORkVFvG3XLGgowS5cu1aJFi+rNLyoqUlxc3CV2dHFLrq9tsmbLli1R32978vl87T2ENkfPXQM9dw30bIfq6upm1UU1wLSngoIC5efnh6cDgYDS0tKUnZ0tj8cTtf2EQiH5fD49vj9GwVpHo7XlhTlR2297qut5woQJcjqd7T2cNkHP9NxZ0TM9d3R1V1CaEtUA4/V6JUmVlZVKSUkJz6+srNSIESPCNSdOnIhY78KFCzp58mR4fa/Xq8rKyoiauum6mn/mdrvldrvrzXc6na1y8IK1DgVrGg8wtn1omtJa72VHRs9dAz13DfRsh+aON6rfA5ORkSGv16vt27eH5wUCAe3du1dZWVmSpKysLJ06dUqlpaXhmh07dqi2tlaZmZnhmuLi4ojrYD6fTwMHDmzw8hEAAOhaWhxgzpw5o7KyMpWVlUn67MbdsrIyVVRUyOFw6OGHH9Z3v/td/eY3v9G7776r6dOnKzU1VXfccYck6ZprrtHEiRM1a9Ys7du3T2+88YbmzJmju+++W6mpqZKkqVOnyuVyaebMmTp48KA2bNigZ555JuISEQAA6LpafAlp//79uuWWW8LTdaFixowZWrNmjb7zne/o7Nmzmj17tk6dOqWbb75ZW7duVffu3cPrrF27VnPmzNG4ceMUExOjKVOm6Ec/+lF4eXx8vIqKipSXl6dRo0apb9++WrhwIY9QAwAASZcQYMaOHStjLv4IscPh0OLFi7V48eKL1iQmJmrdunWN7mfYsGHavXt3S4cHAAC6AP4XEgAAsA4BBgAAWIcAAwAArEOAAQAA1iHAAAAA6xBgAACAdQgwAADAOgQYAABgHQIMAACwDgEGAABYhwADAACsQ4ABAADWIcAAAADrEGAAAIB1CDAAAMA6BBgAAGAdAgwAALAOAQYAAFiHAAMAAKxDgAEAANYhwAAAAOsQYAAAgHUIMAAAwDoEGAAAYB0CDAAAsA4BBgAAWIcAAwAArEOAAQAA1iHAAAAA6xBgAACAdQgwAADAOlEPMFdeeaUcDke9V15eniRp7Nix9ZY98MADEduoqKjQpEmTFBcXp6SkJM2bN08XLlyI9lABAIClukV7g2+99ZZqamrC0+Xl5ZowYYL+/d//PTxv1qxZWrx4cXg6Li4u/HNNTY0mTZokr9erN998U8ePH9f06dPldDr1/e9/P9rDBQAAFop6gLn88ssjppctW6YBAwboy1/+cnheXFycvF5vg+sXFRXp0KFD2rZtm5KTkzVixAgtWbJE8+fPV2FhoVwuV7SHDAAALNOq98CcP39ev/rVr3T//ffL4XCE569du1Z9+/bVtddeq4KCAlVXV4eXlZSUaOjQoUpOTg7Py8nJUSAQ0MGDB1tzuAAAwBJRPwPzjzZu3KhTp07p61//enje1KlTlZ6ertTUVB04cEDz58/X4cOH9fLLL0uS/H5/RHiRFJ72+/0X3VcwGFQwGAxPBwIBSVIoFFIoFIpWS+FtuWNMs2ttV9dHZ+mnOei5a6DnroGe7dLcMTuMMU3/Jb5EOTk5crlc+u1vf3vRmh07dmjcuHE6cuSIBgwYoNmzZ+vDDz/Ua6+9Fq6prq5Wz549tWXLFuXm5ja4ncLCQi1atKje/HXr1kXcYwMAADqu6upqTZ06VVVVVfJ4PBeta7UzMB9++KG2bdsWPrNyMZmZmZIUDjBer1f79u2LqKmsrJSki943I0kFBQXKz88PTwcCAaWlpSk7O7vRN6ClQqGQfD6fHt8fo2Cto9Ha8sKcqO23PdX1PGHCBDmdzvYeTpugZ3rurOiZnju6uisoTWm1APPCCy8oKSlJkyZNarSurKxMkpSSkiJJysrK0ve+9z2dOHFCSUlJkiSfzyePx6PBgwdfdDtut1tut7vefKfT2SoHL1jrULCm8QBj24emKa31XnZk9Nw10HPXQM92aO54WyXA1NbW6oUXXtCMGTPUrdvfd3H06FGtW7dOt956q/r06aMDBw5o7ty5GjNmjIYNGyZJys7O1uDBg3Xfffdp+fLl8vv9WrBggfLy8hoMKAAAoOtplQCzbds2VVRU6P7774+Y73K5tG3bNj399NM6e/as0tLSNGXKFC1YsCBcExsbq02bNunBBx9UVlaWevbsqRkzZkR8bwwAAOjaWiXAZGdnq6F7g9PS0rRr164m109PT9eWLVtaY2gAAKAT4H8hAQAA6xBgAACAdQgwAADAOgQYAABgHQIMAACwDgEGAABYhwADAACsQ4ABAADWIcAAAADrEGAAAIB1CDAAAMA6BBgAAGAdAgwAALAOAQYAAFiHAAMAAKxDgAEAANYhwAAAAOsQYAAAgHUIMAAAwDoEGAAAYB0CDAAAsA4BBgAAWIcAAwAArEOAAQAA1iHAAAAA6xBgAACAdQgwAADAOgQYAABgHQIMAACwDgEGAABYhwADAACsQ4ABAADWiXqAKSwslMPhiHgNGjQovPzcuXPKy8tTnz59dNlll2nKlCmqrKyM2EZFRYUmTZqkuLg4JSUlad68ebpw4UK0hwoAACzVrTU2OmTIEG3btu3vO+n2993MnTtXmzdv1ksvvaT4+HjNmTNHd955p9544w1JUk1NjSZNmiSv16s333xTx48f1/Tp0+V0OvX973+/NYYLAAAs0yoBplu3bvJ6vfXmV1VV6Re/+IXWrVunr3zlK5KkF154Qddcc4327Nmjm266SUVFRTp06JC2bdum5ORkjRgxQkuWLNH8+fNVWFgol8vVGkMGAAAWaZV7YN5//32lpqaqf//+mjZtmioqKiRJpaWlCoVCGj9+fLh20KBB6tevn0pKSiRJJSUlGjp0qJKTk8M1OTk5CgQCOnjwYGsMFwAAWCbqZ2AyMzO1Zs0aDRw4UMePH9eiRYs0evRolZeXy+/3y+VyKSEhIWKd5ORk+f1+SZLf748IL3XL65ZdTDAYVDAYDE8HAgFJUigUUigUikZr4e1JkjvGNLvWdnV9dJZ+moOeuwZ67hro2S7NHXPUA0xubm7452HDhikzM1Pp6el68cUX1aNHj2jvLmzp0qVatGhRvflFRUWKi4uL+v6WXF/bZM2WLVuivt/25PP52nsIbY6euwZ67hro2Q7V1dXNqmuVe2D+UUJCgq6++modOXJEEyZM0Pnz53Xq1KmIszCVlZXhe2a8Xq/27dsXsY26p5Qauq+mTkFBgfLz88PTgUBAaWlpys7OlsfjiVo/oVBIPp9Pj++PUbDW0WhteWFO1Pbbnup6njBhgpxOZ3sPp03QMz13VvRMzx1d3RWUprR6gDlz5oyOHj2q++67T6NGjZLT6dT27ds1ZcoUSdLhw4dVUVGhrKwsSVJWVpa+973v6cSJE0pKSpL0WYL0eDwaPHjwRffjdrvldrvrzXc6na1y8IK1DgVrGg8wtn1omtJa72VHRs9dAz13DfRsh+aON+oB5tvf/rYmT56s9PR0ffTRR3riiScUGxure+65R/Hx8Zo5c6by8/OVmJgoj8ejhx56SFlZWbrpppskSdnZ2Ro8eLDuu+8+LV++XH6/XwsWLFBeXl6DAQUAAHQ9UQ8wf/nLX3TPPffo448/1uWXX66bb75Ze/bs0eWXXy5JeuqppxQTE6MpU6YoGAwqJydHP/nJT8Lrx8bGatOmTXrwwQeVlZWlnj17asaMGVq8eHG0hwoAACwV9QCzfv36Rpd3795dq1at0qpVqy5ak56e3ulugAUAANHD/0ICAADWIcAAAADrEGAAAIB1CDAAAMA6BBgAAGAdAgwAALAOAQYAAFiHAAMAAKxDgAEAANYhwAAAAOsQYAAAgHUIMAAAwDoEGAAAYB0CDAAAsA4BBgAAWIcAAwAArEOAAQAA1iHAAAAA6xBgAACAdQgwAADAOgQYAABgHQIMAACwDgEGAABYhwADAACsQ4ABAADWIcAAAADrEGAAAIB1CDAAAMA6BBgAAGAdAgwAALAOAQYAAFiHAAMAAKwT9QCzdOlS3XDDDerVq5eSkpJ0xx136PDhwxE1Y8eOlcPhiHg98MADETUVFRWaNGmS4uLilJSUpHnz5unChQvRHi4AALBQt2hvcNeuXcrLy9MNN9ygCxcu6LHHHlN2drYOHTqknj17hutmzZqlxYsXh6fj4uLCP9fU1GjSpEnyer168803dfz4cU2fPl1Op1Pf//73oz1kAABgmagHmK1bt0ZMr1mzRklJSSotLdWYMWPC8+Pi4uT1ehvcRlFRkQ4dOqRt27YpOTlZI0aM0JIlSzR//nwVFhbK5XJFe9gAAMAiUQ8w/6yqqkqSlJiYGDF/7dq1+tWvfiWv16vJkyfr8ccfD5+FKSkp0dChQ5WcnByuz8nJ0YMPPqiDBw/quuuuq7efYDCoYDAYng4EApKkUCikUCgUtX7qtuWOMc2utV1dH52ln+ag566BnrsGerZLc8fsMMY0/Zf4EtXW1uq2227TqVOn9Prrr4fnP//880pPT1dqaqoOHDig+fPn68Ybb9TLL78sSZo9e7Y+/PBDvfbaa+F1qqur1bNnT23ZskW5ubn19lVYWKhFixbVm79u3bqIy1MAAKDjqq6u1tSpU1VVVSWPx3PRulY9A5OXl6fy8vKI8CJ9FlDqDB06VCkpKRo3bpyOHj2qAQMGXNK+CgoKlJ+fH54OBAJKS0tTdnZ2o29AS4VCIfl8Pj2+P0bBWkejteWFOVHbb3uq63nChAlyOp3tPZw2Qc/03FnRMz13dHVXUJrSagFmzpw52rRpk4qLi3XFFVc0WpuZmSlJOnLkiAYMGCCv16t9+/ZF1FRWVkrSRe+bcbvdcrvd9eY7nc5WOXjBWoeCNY0HGNs+NE1prfeyI6PnroGeuwZ6tkNzxxv1x6iNMZozZ45eeeUV7dixQxkZGU2uU1ZWJklKSUmRJGVlZendd9/ViRMnwjU+n08ej0eDBw+O9pABAIBlon4GJi8vT+vWrdOrr76qXr16ye/3S5Li4+PVo0cPHT16VOvWrdOtt96qPn366MCBA5o7d67GjBmjYcOGSZKys7M1ePBg3XfffVq+fLn8fr8WLFigvLy8Bs+yAACAriXqZ2Cee+45VVVVaezYsUpJSQm/NmzYIElyuVzatm2bsrOzNWjQID3yyCOaMmWKfvvb34a3ERsbq02bNik2NlZZWVm69957NX369IjvjQEAAF1X1M/ANPVQU1pamnbt2tXkdtLT07Vly5ZoDQsAAHQi/C8kAABgHQIMAACwDgEGAABYhwADAACsQ4ABAADWIcAAAADrEGAAAIB1CDAAAMA6rfrfqLu6Kx/d3GTNB8smtcFIAADoXDgDAwAArEOAAQAA1iHAAAAA6xBgAACAdQgwAADAOgQYAABgHQIMAACwDgEGAABYhwADAACsQ4ABAADWIcAAAADrEGAAAIB1CDAAAMA6BBgAAGAdAgwAALAOAQYAAFiHAAMAAKzTrb0H0NVd+ejmJms+WDapDUYCAIA9OAMDAACswxkYC3CWBgCASJyBAQAA1iHAAAAA6xBgAACAdTr0PTCrVq3SihUr5Pf7NXz4cD377LO68cYb23tYHVJz7pNpLu6nAQB0dB32DMyGDRuUn5+vJ554Qm+//baGDx+unJwcnThxor2HBgAA2lmHPQOzcuVKzZo1S9/4xjckST/96U+1efNmrV69Wo8++mg7j65z++ezOe5Yo+U3StcWvqZgjUMSZ2kAAO2rQwaY8+fPq7S0VAUFBeF5MTExGj9+vEpKShpcJxgMKhgMhqerqqokSSdPnlQoFIra2EKhkKqrq9UtFKOaWkfUttuRdas1qq6ujej5qm+/2OR6ewvGNVmTuXT75x5fSzRnTNLfj/PHH38sp9NZb3lzxt3cfXUUTfXcGdEzPXdWNvd8+vRpSZIxptG6Dhlg/va3v6mmpkbJyckR85OTk/XHP/6xwXWWLl2qRYsW1ZufkZHRKmPsaqZewjp9fxj1YXxubTmmjtg/ANji9OnTio+Pv+jyDhlgLkVBQYHy8/PD07W1tTp58qT69OkjhyN6Z0oCgYDS0tL05z//WR6PJ2rb7cjomZ47K3qm587K5p6NMTp9+rRSU1MbreuQAaZv376KjY1VZWVlxPzKykp5vd4G13G73XK73RHzEhISWmuI8ng81n0oPi967hrouWug567B1p4bO/NSp0M+heRyuTRq1Cht3/73+wxqa2u1fft2ZWVltePIAABAR9Ahz8BIUn5+vmbMmKHrr79eN954o55++mmdPXs2/FQSAADoujpsgLnrrrv017/+VQsXLpTf79eIESO0devWejf2tjW3260nnnii3uWqzoyeuwZ67hrouWvoCj07TFPPKQEAAHQwHfIeGAAAgMYQYAAAgHUIMAAAwDoEGAAAYB0CTAutWrVKV155pbp3767MzEzt27evvYfULIWFhXI4HBGvQYMGhZefO3dOeXl56tOnjy677DJNmTKl3hcJVlRUaNKkSYqLi1NSUpLmzZunCxcuRNTs3LlTI0eOlNvt1lVXXaU1a9a0RXuSpOLiYk2ePFmpqalyOBzauHFjxHJjjBYuXKiUlBT16NFD48eP1/vvvx9Rc/LkSU2bNk0ej0cJCQmaOXOmzpw5E1Fz4MABjR49Wt27d1daWpqWL19ebywvvfSSBg0apO7du2vo0KHasmVL1PuVmu7561//er3jPnHixIgam3peunSpbrjhBvXq1UtJSUm64447dPjw4Yiatvwst8Xvg+b0PHbs2HrH+YEHHrC25+eee07Dhg0LfwlbVlaWfve734WXd7Zj3JyeO9sxjgqDZlu/fr1xuVxm9erV5uDBg2bWrFkmISHBVFZWtvfQmvTEE0+YIUOGmOPHj4dff/3rX8PLH3jgAZOWlma2b99u9u/fb2666SbzL//yL+HlFy5cMNdee60ZP368eeedd8yWLVtM3759TUFBQbjmT3/6k4mLizP5+fnm0KFD5tlnnzWxsbFm69atbdLjli1bzP/7f//PvPzyy0aSeeWVVyKWL1u2zMTHx5uNGzeaP/zhD+a2224zGRkZ5tNPPw3XTJw40QwfPtzs2bPH7N6921x11VXmnnvuCS+vqqoyycnJZtq0aaa8vNz8+te/Nj169DA/+9nPwjVvvPGGiY2NNcuXLzeHDh0yCxYsME6n07z77rtt3vOMGTPMxIkTI477yZMnI2ps6jknJ8e88MILpry83JSVlZlbb73V9OvXz5w5cyZc01af5bb6fdCcnr/85S+bWbNmRRznqqoqa3v+zW9+YzZv3mz+93//1xw+fNg89thjxul0mvLycmNM5zvGzem5sx3jaCDAtMCNN95o8vLywtM1NTUmNTXVLF26tB1H1TxPPPGEGT58eIPLTp06ZZxOp3nppZfC89577z0jyZSUlBhjPvtDGRMTY/x+f7jmueeeMx6PxwSDQWOMMd/5znfMkCFDIrZ91113mZycnCh307R//mNeW1trvF6vWbFiRXjeqVOnjNvtNr/+9a+NMcYcOnTISDJvvfVWuOZ3v/udcTgc5v/+7/+MMcb85Cc/Mb179w73bIwx8+fPNwMHDgxPf+1rXzOTJk2KGE9mZqb51re+FdUe/9nFAsztt99+0XVs7/nEiRNGktm1a5cxpm0/y+31++Cfezbmsz9u//Vf/3XRdWzv2RhjevfubX7+8593iWNcp65nY7rGMW4pLiE10/nz51VaWqrx48eH58XExGj8+PEqKSlpx5E13/vvv6/U1FT1799f06ZNU0VFhSSptLRUoVAoordBgwapX79+4d5KSko0dOjQiC8SzMnJUSAQ0MGDB8M1/7iNupqO8P4cO3ZMfr8/Ynzx8fHKzMyM6DEhIUHXX399uGb8+PGKiYnR3r17wzVjxoyRy+UK1+Tk5Ojw4cP65JNPwjUd6X3YuXOnkpKSNHDgQD344IP6+OOPw8ts77mqqkqSlJiYKKntPsvt+fvgn3uus3btWvXt21fXXnutCgoKVF1dHV5mc881NTVav369zp49q6ysrC5xjP+55zqd9Rhfqg77Tbwdzd/+9jfV1NTU+ybg5ORk/fGPf2ynUTVfZmam1qxZo4EDB+r48eNatGiRRo8erfLycvn9frlcrnr//DI5OVl+v1+S5Pf7G+y9blljNYFAQJ9++ql69OjRSt01rW6MDY3vH8eflJQUsbxbt25KTEyMqMnIyKi3jbplvXv3vuj7ULeNtjRx4kTdeeedysjI0NGjR/XYY48pNzdXJSUlio2Ntbrn2tpaPfzww/rSl76ka6+9Njyetvgsf/LJJ+3y+6ChniVp6tSpSk9PV2pqqg4cOKD58+fr8OHDevnllxvtp25ZYzXt1fO7776rrKwsnTt3TpdddpleeeUVDR48WGVlZZ32GF+sZ6lzHuPPiwDTReTm5oZ/HjZsmDIzM5Wenq4XX3yxXYMFWtfdd98d/nno0KEaNmyYBgwYoJ07d2rcuHHtOLLPLy8vT+Xl5Xr99dfbeyht5mI9z549O/zz0KFDlZKSonHjxuno0aMaMGBAWw8zKgYOHKiysjJVVVXpf/7nfzRjxgzt2rWrvYfVqi7W8+DBgzvlMf68uITUTH379lVsbGy9O90rKyvl9XrbaVSXLiEhQVdffbWOHDkir9er8+fP69SpUxE1/9ib1+ttsPe6ZY3VeDyedg9JdWNs7Ph5vV6dOHEiYvmFCxd08uTJqLwPHeFz0r9/f/Xt21dHjhyRZG/Pc+bM0aZNm/T73/9eV1xxRXh+W32W2+P3wcV6bkhmZqYkRRxn23p2uVy66qqrNGrUKC1dulTDhw/XM88806mP8cV6bkhnOMafFwGmmVwul0aNGqXt27eH59XW1mr79u0R1yhtcebMGR09elQpKSkaNWqUnE5nRG+HDx9WRUVFuLesrCy9++67EX/sfD6fPB5P+BRnVlZWxDbqajrC+5ORkSGv1xsxvkAgoL1790b0eOrUKZWWloZrduzYodra2vAvi6ysLBUXFysUCoVrfD6fBg4cqN69e4drOur78Je//EUff/yxUlJSJNnXszFGc+bM0SuvvKIdO3bUu7TVVp/ltvx90FTPDSkrK5OkiONsU88Nqa2tVTAY7JTH+GLqem5IZzzGLdbedxHbZP369cbtdps1a9aYQ4cOmdmzZ5uEhISIu747qkceecTs3LnTHDt2zLzxxhtm/Pjxpm/fvubEiRPGmM8eS+zXr5/ZsWOH2b9/v8nKyjJZWVnh9ese0cvOzjZlZWVm69at5vLLL2/wEb158+aZ9957z6xatapNH6M+ffq0eeedd8w777xjJJmVK1ead955x3z44YfGmM8eo05ISDCvvvqqOXDggLn99tsbfIz6uuuuM3v37jWvv/66+eIXvxjxSPGpU6dMcnKyue+++0x5eblZv369iYuLq/dIcbdu3cwPfvAD895775knnnii1R6jbqzn06dPm29/+9umpKTEHDt2zGzbts2MHDnSfPGLXzTnzp2zsucHH3zQxMfHm507d0Y8TlpdXR2uaavPclv9Pmiq5yNHjpjFixeb/fv3m2PHjplXX33V9O/f34wZM8banh999FGza9cuc+zYMXPgwAHz6KOPGofDYYqKiowxne8YN9VzZzzG0UCAaaFnn33W9OvXz7hcLnPjjTeaPXv2tPeQmuWuu+4yKSkpxuVymS984QvmrrvuMkeOHAkv//TTT81//Md/mN69e5u4uDjz1a9+1Rw/fjxiGx988IHJzc01PXr0MH379jWPPPKICYVCETW///3vzYgRI4zL5TL9+/c3L7zwQlu0F963pHqvGTNmGGM+e5T68ccfN8nJycbtdptx48aZw4cPR2zj448/Nvfcc4+57LLLjMfjMd/4xjfM6dOnI2r+8Ic/mJtvvtm43W7zhS98wSxbtqzeWF588UVz9dVXG5fLZYYMGWI2b97c5j1XV1eb7Oxsc/nllxun02nS09PNrFmz6v0isqnnhnqVFPE5a8vPclv8Pmiq54qKCjNmzBiTmJho3G63ueqqq8y8efMiviPEtp7vv/9+k56eblwul7n88svNuHHjwuHFmM53jJvquTMe42hwGGNM253vAQAA+Py4BwYAAFiHAAMAAKxDgAEAANYhwAAAAOsQYAAAgHUIMAAAwDoEGAAAYB0CDAAAsA4BBgAAWIcAAwAArEOAAQAA1iHAAAAA6/x/sqzyL+mDqTgAAAAASUVORK5CYII=", "text/plain": [ "
" ] @@ -6246,7 +6639,14 @@ { "cell_type": "code", "execution_count": 69, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:23.004661Z", + "iopub.status.busy": "2024-08-16T20:37:23.004472Z", + "iopub.status.idle": "2024-08-16T20:37:23.047272Z", + "shell.execute_reply": "2024-08-16T20:37:23.046643Z" + } + }, "outputs": [ { "data": { @@ -6277,35 +6677,35 @@ " \n", " \n", " \n", - " 8028\n", + " 8218\n", " 40\n", " #/100mL\n", " NaN\n", " NaN\n", " \n", " \n", - " 8083\n", + " 8277\n", " 9\n", " #/100mL\n", " NaN\n", " NaN\n", " \n", " \n", - " 8087\n", + " 8285\n", " 20\n", " #/100mL\n", " NaN\n", " NaN\n", " \n", " \n", - " 8210\n", + " 8433\n", " 200\n", " #/100mL\n", " NaN\n", " NaN\n", " \n", " \n", - " 8387\n", + " 8597\n", " NO DATA\n", " #/100mL\n", " ResultMeasureValue: \"NO DATA\" result cannot be...\n", @@ -6319,35 +6719,35 @@ " ...\n", " \n", " \n", - " 409287\n", - " 230.0\n", + " 412403\n", + " 2400.0\n", " cfu/100mL\n", " NaN\n", " NaN\n", " \n", " \n", - " 409290\n", - " 2400.0\n", + " 412405\n", + " 230.0\n", " cfu/100mL\n", " NaN\n", " NaN\n", " \n", " \n", - " 409293\n", + " 412409\n", " 30.0\n", " cfu/100mL\n", " NaN\n", " NaN\n", " \n", " \n", - " 409297\n", + " 412413\n", " NaN\n", " cfu/100mL\n", " ResultMeasureValue: missing (NaN) result\n", " NaN\n", " \n", " \n", - " 409997\n", + " 413113\n", " 1.0\n", " cfu/100ml\n", " NaN\n", @@ -6360,43 +6760,43 @@ ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode \\\n", - "8028 40 #/100mL \n", - "8083 9 #/100mL \n", - "8087 20 #/100mL \n", - "8210 200 #/100mL \n", - "8387 NO DATA #/100mL \n", + "8218 40 #/100mL \n", + "8277 9 #/100mL \n", + "8285 20 #/100mL \n", + "8433 200 #/100mL \n", + "8597 NO DATA #/100mL \n", "... ... ... \n", - "409287 230.0 cfu/100mL \n", - "409290 2400.0 cfu/100mL \n", - "409293 30.0 cfu/100mL \n", - "409297 NaN cfu/100mL \n", - "409997 1.0 cfu/100ml \n", + "412403 2400.0 cfu/100mL \n", + "412405 230.0 cfu/100mL \n", + "412409 30.0 cfu/100mL \n", + "412413 NaN cfu/100mL \n", + "413113 1.0 cfu/100ml \n", "\n", " QA_flag \\\n", - "8028 NaN \n", - "8083 NaN \n", - "8087 NaN \n", - "8210 NaN \n", - "8387 ResultMeasureValue: \"NO DATA\" result cannot be... \n", + "8218 NaN \n", + "8277 NaN \n", + "8285 NaN \n", + "8433 NaN \n", + "8597 ResultMeasureValue: \"NO DATA\" result cannot be... \n", "... ... \n", - "409287 NaN \n", - "409290 NaN \n", - "409293 NaN \n", - "409297 ResultMeasureValue: missing (NaN) result \n", - "409997 NaN \n", + "412403 NaN \n", + "412405 NaN \n", + "412409 NaN \n", + "412413 ResultMeasureValue: missing (NaN) result \n", + "413113 NaN \n", "\n", " Fecal_Coliform \n", - "8028 NaN \n", - "8083 NaN \n", - "8087 NaN \n", - "8210 NaN \n", - "8387 NaN \n", + "8218 NaN \n", + "8277 NaN \n", + "8285 NaN \n", + "8433 NaN \n", + "8597 NaN \n", "... ... \n", - "409287 NaN \n", - "409290 NaN \n", - "409293 NaN \n", - "409297 NaN \n", - "409997 1.0 Colony_Forming_Units / milliliter \n", + "412403 NaN \n", + "412405 NaN \n", + "412409 NaN \n", + "412413 NaN \n", + "413113 1.0 Colony_Forming_Units / milliliter \n", "\n", "[8224 rows x 4 columns]" ] @@ -6421,23 +6821,34 @@ { "cell_type": "code", "execution_count": 70, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:23.049538Z", + "iopub.status.busy": "2024-08-16T20:37:23.049348Z", + "iopub.status.idle": "2024-08-16T20:37:27.249733Z", + "shell.execute_reply": "2024-08-16T20:37:27.249128Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\convert.py:125: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n", - " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\convert.py:125: UserWarning: WARNING: '%' converted to NaN\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: '%' converted to NaN\n", " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\convert.py:125: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n", + " warn(f\"WARNING: '{unit}' converted to NaN\")\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n", " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\convert.py:125: UserWarning: WARNING: 'count' converted to NaN\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'count' converted to NaN\n", " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\convert.py:125: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n", " warn(f\"WARNING: '{unit}' converted to NaN\")\n" ] }, @@ -6462,7 +6873,7 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -6479,7 +6890,14 @@ { "cell_type": "code", "execution_count": 71, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:27.252782Z", + "iopub.status.busy": "2024-08-16T20:37:27.252156Z", + "iopub.status.idle": "2024-08-16T20:37:27.316160Z", + "shell.execute_reply": "2024-08-16T20:37:27.315592Z" + } + }, "outputs": [ { "data": { @@ -6510,7 +6928,7 @@ " \n", " \n", " \n", - " 3\n", + " 4\n", " 96\n", " MPN/100mL\n", " NaN\n", @@ -6518,27 +6936,27 @@ " \n", " \n", " 13\n", - " 110\n", + " 24200\n", " MPN/100mL\n", " NaN\n", " NaN\n", " \n", " \n", - " 15\n", - " 52\n", + " 16\n", + " 110\n", " MPN/100mL\n", " NaN\n", " NaN\n", " \n", " \n", - " 35\n", - " 24200\n", + " 19\n", + " 52\n", " MPN/100mL\n", " NaN\n", " NaN\n", " \n", " \n", - " 38\n", + " 24\n", " 52\n", " MPN/100mL\n", " NaN\n", @@ -6552,35 +6970,35 @@ " ...\n", " \n", " \n", - " 413424\n", + " 416585\n", " 7.0\n", " MPN/100 ml\n", " NaN\n", " 7.0 Colony_Forming_Units / milliliter\n", " \n", " \n", - " 413437\n", + " 416598\n", " 870.0\n", " MPN/100 ml\n", " NaN\n", " 870.0 Colony_Forming_Units / milliliter\n", " \n", " \n", - " 413441\n", + " 416602\n", " 44.0\n", " MPN/100 ml\n", " NaN\n", " 44.0 Colony_Forming_Units / milliliter\n", " \n", " \n", - " 413445\n", + " 416606\n", " 14.0\n", " MPN/100 ml\n", " NaN\n", " 14.0 Colony_Forming_Units / milliliter\n", " \n", " \n", - " 413449\n", + " 416610\n", " 390.0\n", " MPN/100 ml\n", " NaN\n", @@ -6593,30 +7011,30 @@ ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag \\\n", - "3 96 MPN/100mL NaN \n", - "13 110 MPN/100mL NaN \n", - "15 52 MPN/100mL NaN \n", - "35 24200 MPN/100mL NaN \n", - "38 52 MPN/100mL NaN \n", + "4 96 MPN/100mL NaN \n", + "13 24200 MPN/100mL NaN \n", + "16 110 MPN/100mL NaN \n", + "19 52 MPN/100mL NaN \n", + "24 52 MPN/100mL NaN \n", "... ... ... ... \n", - "413424 7.0 MPN/100 ml NaN \n", - "413437 870.0 MPN/100 ml NaN \n", - "413441 44.0 MPN/100 ml NaN \n", - "413445 14.0 MPN/100 ml NaN \n", - "413449 390.0 MPN/100 ml NaN \n", + "416585 7.0 MPN/100 ml NaN \n", + "416598 870.0 MPN/100 ml NaN \n", + "416602 44.0 MPN/100 ml NaN \n", + "416606 14.0 MPN/100 ml NaN \n", + "416610 390.0 MPN/100 ml NaN \n", "\n", " E_coli \n", - "3 NaN \n", + "4 NaN \n", "13 NaN \n", - "15 NaN \n", - "35 NaN \n", - "38 NaN \n", + "16 NaN \n", + "19 NaN \n", + "24 NaN \n", "... ... \n", - "413424 7.0 Colony_Forming_Units / milliliter \n", - "413437 870.0 Colony_Forming_Units / milliliter \n", - "413441 44.0 Colony_Forming_Units / milliliter \n", - "413445 14.0 Colony_Forming_Units / milliliter \n", - "413449 390.0 Colony_Forming_Units / milliliter \n", + "416585 7.0 Colony_Forming_Units / milliliter \n", + "416598 870.0 Colony_Forming_Units / milliliter \n", + "416602 44.0 Colony_Forming_Units / milliliter \n", + "416606 14.0 Colony_Forming_Units / milliliter \n", + "416610 390.0 Colony_Forming_Units / milliliter \n", "\n", "[23465 rows x 4 columns]" ] @@ -6662,7 +7080,14 @@ { "cell_type": "code", "execution_count": 72, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:27.318530Z", + "iopub.status.busy": "2024-08-16T20:37:27.318195Z", + "iopub.status.idle": "2024-08-16T20:37:27.320960Z", + "shell.execute_reply": "2024-08-16T20:37:27.320403Z" + } + }, "outputs": [], "source": [ "from harmonize_wq import convert" @@ -6671,7 +7096,14 @@ { "cell_type": "code", "execution_count": 73, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:27.323012Z", + "iopub.status.busy": "2024-08-16T20:37:27.322693Z", + "iopub.status.idle": "2024-08-16T20:37:27.346611Z", + "shell.execute_reply": "2024-08-16T20:37:27.346010Z" + } + }, "outputs": [ { "name": "stdout", @@ -6679,7 +7111,7 @@ "text": [ "Range: 0.0 to 4003.4828342857154\n", "Results: 30755 \n", - "Mean: 19.334148801040758 PSU\n" + "Mean: 19.334148801040712 PSU\n" ] } ], @@ -6694,7 +7126,14 @@ { "cell_type": "code", "execution_count": 74, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:27.348810Z", + "iopub.status.busy": "2024-08-16T20:37:27.348472Z", + "iopub.status.idle": "2024-08-16T20:37:27.353617Z", + "shell.execute_reply": "2024-08-16T20:37:27.353141Z" + } + }, "outputs": [ { "data": { @@ -6722,7 +7161,14 @@ { "cell_type": "code", "execution_count": 75, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:27.355824Z", + "iopub.status.busy": "2024-08-16T20:37:27.355482Z", + "iopub.status.idle": "2024-08-16T20:37:27.358027Z", + "shell.execute_reply": "2024-08-16T20:37:27.357521Z" + } + }, "outputs": [], "source": [ "# Columns to focus on\n", @@ -6732,7 +7178,14 @@ { "cell_type": "code", "execution_count": 76, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:27.360209Z", + "iopub.status.busy": "2024-08-16T20:37:27.359872Z", + "iopub.status.idle": "2024-08-16T20:37:34.936179Z", + "shell.execute_reply": "2024-08-16T20:37:34.935558Z" + } + }, "outputs": [ { "data": { @@ -6763,35 +7216,35 @@ " \n", " \n", " \n", - " 22353\n", + " 22981\n", " 804\n", " ppth\n", " NaN\n", " 804.0 Practical_Salinity_Units\n", " \n", " \n", - " 142474\n", + " 123274\n", " 71.49\n", " ppth\n", " NaN\n", " 71.49 Practical_Salinity_Units\n", " \n", " \n", - " 143483\n", + " 124283\n", " 70.62\n", " ppth\n", " NaN\n", " 70.62 Practical_Salinity_Units\n", " \n", " \n", - " 175267\n", + " 178350\n", " 77.6666666666667\n", " ppt\n", " NaN\n", " 77.6666666666667 Practical_Salinity_Units\n", " \n", " \n", - " 379427\n", + " 382543\n", " 4980.0\n", " mg/mL @25C\n", " ResultTemperatureBasisText: updated from 25 de...\n", @@ -6803,25 +7256,25 @@ ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode \\\n", - "22353 804 ppth \n", - "142474 71.49 ppth \n", - "143483 70.62 ppth \n", - "175267 77.6666666666667 ppt \n", - "379427 4980.0 mg/mL @25C \n", + "22981 804 ppth \n", + "123274 71.49 ppth \n", + "124283 70.62 ppth \n", + "178350 77.6666666666667 ppt \n", + "382543 4980.0 mg/mL @25C \n", "\n", " QA_flag \\\n", - "22353 NaN \n", - "142474 NaN \n", - "143483 NaN \n", - "175267 NaN \n", - "379427 ResultTemperatureBasisText: updated from 25 de... \n", + "22981 NaN \n", + "123274 NaN \n", + "124283 NaN \n", + "178350 NaN \n", + "382543 ResultTemperatureBasisText: updated from 25 de... \n", "\n", " Salinity \n", - "22353 804.0 Practical_Salinity_Units \n", - "142474 71.49 Practical_Salinity_Units \n", - "143483 70.62 Practical_Salinity_Units \n", - "175267 77.6666666666667 Practical_Salinity_Units \n", - "379427 4003.4828342857154 Practical_Salinity_Units " + "22981 804.0 Practical_Salinity_Units \n", + "123274 71.49 Practical_Salinity_Units \n", + "124283 70.62 Practical_Salinity_Units \n", + "178350 77.6666666666667 Practical_Salinity_Units \n", + "382543 4003.4828342857154 Practical_Salinity_Units " ] }, "execution_count": 76, @@ -6846,7 +7299,14 @@ { "cell_type": "code", "execution_count": 77, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:34.938609Z", + "iopub.status.busy": "2024-08-16T20:37:34.938246Z", + "iopub.status.idle": "2024-08-16T20:37:41.006003Z", + "shell.execute_reply": "2024-08-16T20:37:41.005385Z" + } + }, "outputs": [], "source": [ "df = wrangle.add_detection(df, 'Salinity')\n", @@ -6859,7 +7319,14 @@ { "cell_type": "code", "execution_count": 78, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:41.008448Z", + "iopub.status.busy": "2024-08-16T20:37:41.008113Z", + "iopub.status.idle": "2024-08-16T20:37:43.428729Z", + "shell.execute_reply": "2024-08-16T20:37:43.428126Z" + } + }, "outputs": [ { "data": { @@ -6894,7 +7361,7 @@ " \n", " \n", " \n", - " 10790\n", + " 11064\n", " 0\n", " ppt\n", " NaN\n", @@ -6905,7 +7372,7 @@ " NaN\n", " \n", " \n", - " 11206\n", + " 11515\n", " 0\n", " PSS\n", " NaN\n", @@ -6916,7 +7383,7 @@ " NaN\n", " \n", " \n", - " 11394\n", + " 11699\n", " 0\n", " PSS\n", " NaN\n", @@ -6927,7 +7394,7 @@ " NaN\n", " \n", " \n", - " 16806\n", + " 17297\n", " 0\n", " ppm\n", " NaN\n", @@ -6938,7 +7405,7 @@ " NaN\n", " \n", " \n", - " 18006\n", + " 18519\n", " 0\n", " ppm\n", " NaN\n", @@ -6960,7 +7427,7 @@ " ...\n", " \n", " \n", - " 320397\n", + " 323504\n", " 0.0\n", " ppth\n", " NaN\n", @@ -6971,7 +7438,7 @@ " NaN\n", " \n", " \n", - " 320476\n", + " 323598\n", " 0.0\n", " ppth\n", " NaN\n", @@ -6982,7 +7449,7 @@ " NaN\n", " \n", " \n", - " 320516\n", + " 323652\n", " 0.0\n", " ppth\n", " NaN\n", @@ -6993,7 +7460,7 @@ " NaN\n", " \n", " \n", - " 320541\n", + " 323657\n", " 0.0\n", " ppth\n", " NaN\n", @@ -7004,7 +7471,7 @@ " NaN\n", " \n", " \n", - " 320551\n", + " 323682\n", " 0.0\n", " ppth\n", " NaN\n", @@ -7021,69 +7488,69 @@ ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag \\\n", - "10790 0 ppt NaN \n", - "11206 0 PSS NaN \n", - "11394 0 PSS NaN \n", - "16806 0 ppm NaN \n", - "18006 0 ppm NaN \n", + "11064 0 ppt NaN \n", + "11515 0 PSS NaN \n", + "11699 0 PSS NaN \n", + "17297 0 ppm NaN \n", + "18519 0 ppm NaN \n", "... ... ... ... \n", - "320397 0.0 ppth NaN \n", - "320476 0.0 ppth NaN \n", - "320516 0.0 ppth NaN \n", - "320541 0.0 ppth NaN \n", - "320551 0.0 ppth NaN \n", + "323504 0.0 ppth NaN \n", + "323598 0.0 ppth NaN \n", + "323652 0.0 ppth NaN \n", + "323657 0.0 ppth NaN \n", + "323682 0.0 ppth NaN \n", "\n", " Salinity ResultDetectionConditionText \\\n", - "10790 0.0 Practical_Salinity_Units NaN \n", - "11206 0.0 Practical_Salinity_Units NaN \n", - "11394 0.0 Practical_Salinity_Units NaN \n", - "16806 0.0 Practical_Salinity_Units NaN \n", - "18006 0.0 Practical_Salinity_Units NaN \n", + "11064 0.0 Practical_Salinity_Units NaN \n", + "11515 0.0 Practical_Salinity_Units NaN \n", + "11699 0.0 Practical_Salinity_Units NaN \n", + "17297 0.0 Practical_Salinity_Units NaN \n", + "18519 0.0 Practical_Salinity_Units NaN \n", "... ... ... \n", - "320397 0.0 Practical_Salinity_Units NaN \n", - "320476 0.0 Practical_Salinity_Units NaN \n", - "320516 0.0 Practical_Salinity_Units NaN \n", - "320541 0.0 Practical_Salinity_Units NaN \n", - "320551 0.0 Practical_Salinity_Units NaN \n", + "323504 0.0 Practical_Salinity_Units NaN \n", + "323598 0.0 Practical_Salinity_Units NaN \n", + "323652 0.0 Practical_Salinity_Units NaN \n", + "323657 0.0 Practical_Salinity_Units NaN \n", + "323682 0.0 Practical_Salinity_Units NaN \n", "\n", " DetectionQuantitationLimitTypeName \\\n", - "10790 NaN \n", - "11206 NaN \n", - "11394 NaN \n", - "16806 NaN \n", - "18006 NaN \n", + "11064 NaN \n", + "11515 NaN \n", + "11699 NaN \n", + "17297 NaN \n", + "18519 NaN \n", "... ... \n", - "320397 NaN \n", - "320476 NaN \n", - "320516 NaN \n", - "320541 NaN \n", - "320551 NaN \n", + "323504 NaN \n", + "323598 NaN \n", + "323652 NaN \n", + "323657 NaN \n", + "323682 NaN \n", "\n", " DetectionQuantitationLimitMeasure/MeasureValue \\\n", - "10790 NaN \n", - "11206 NaN \n", - "11394 NaN \n", - "16806 NaN \n", - "18006 NaN \n", + "11064 NaN \n", + "11515 NaN \n", + "11699 NaN \n", + "17297 NaN \n", + "18519 NaN \n", "... ... \n", - "320397 NaN \n", - "320476 NaN \n", - "320516 NaN \n", - "320541 NaN \n", - "320551 NaN \n", + "323504 NaN \n", + "323598 NaN \n", + "323652 NaN \n", + "323657 NaN \n", + "323682 NaN \n", "\n", " DetectionQuantitationLimitMeasure/MeasureUnitCode \n", - "10790 NaN \n", - "11206 NaN \n", - "11394 NaN \n", - "16806 NaN \n", - "18006 NaN \n", + "11064 NaN \n", + "11515 NaN \n", + "11699 NaN \n", + "17297 NaN \n", + "18519 NaN \n", "... ... \n", - "320397 NaN \n", - "320476 NaN \n", - "320516 NaN \n", - "320541 NaN \n", - "320551 NaN \n", + "323504 NaN \n", + "323598 NaN \n", + "323652 NaN \n", + "323657 NaN \n", + "323682 NaN \n", "\n", "[649 rows x 8 columns]" ] @@ -7108,23 +7575,30 @@ { "cell_type": "code", "execution_count": 79, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:43.431115Z", + "iopub.status.busy": "2024-08-16T20:37:43.430778Z", + "iopub.status.idle": "2024-08-16T20:37:43.445223Z", + "shell.execute_reply": "2024-08-16T20:37:43.444641Z" + } + }, "outputs": [ { "data": { "text/plain": [ - "7 349.0 microsiemens / centimeter\n", - "23 443.0 microsiemens / centimeter\n", - "47 67.11703531 microsiemens / centimeter\n", - "93 590.0 microsiemens / centimeter\n", - "112 418.375 microsiemens / centimeter\n", + "18 349.0 microsiemens / centimeter\n", + "36 443.0 microsiemens / centimeter\n", + "43 67.11703531 microsiemens / centimeter\n", + "67 590.0 microsiemens / centimeter\n", + "109 418.375 microsiemens / centimeter\n", " ... \n", - "307112 431.0 microsiemens / centimeter\n", - "307137 321.0 microsiemens / centimeter\n", - "307139 364.0 microsiemens / centimeter\n", - "307157 246.0 microsiemens / centimeter\n", - "307158 607.0 microsiemens / centimeter\n", - "Name: Conductivity, Length: 1953, dtype: object" + "310223 431.0 microsiemens / centimeter\n", + "310246 321.0 microsiemens / centimeter\n", + "310249 364.0 microsiemens / centimeter\n", + "310265 246.0 microsiemens / centimeter\n", + "310266 607.0 microsiemens / centimeter\n", + "Name: Conductivity, Length: 2599, dtype: object" ] }, "execution_count": 79, @@ -7148,7 +7622,14 @@ { "cell_type": "code", "execution_count": 80, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:43.447425Z", + "iopub.status.busy": "2024-08-16T20:37:43.447089Z", + "iopub.status.idle": "2024-08-16T20:37:43.900321Z", + "shell.execute_reply": "2024-08-16T20:37:43.899706Z" + } + }, "outputs": [ { "data": { @@ -7180,7 +7661,7 @@ " \n", " \n", " \n", - " 103595\n", + " 105835\n", " 48.6\n", " mS/cm\n", " NaN\n", @@ -7188,7 +7669,7 @@ " 48600.0 microsiemens / centimeter\n", " \n", " \n", - " 105049\n", + " 107360\n", " 48.15\n", " mS/cm\n", " NaN\n", @@ -7196,7 +7677,7 @@ " 48150.0 microsiemens / centimeter\n", " \n", " \n", - " 67796\n", + " 62032\n", " 48\n", " mS/cm\n", " NaN\n", @@ -7204,7 +7685,7 @@ " 48000.0 microsiemens / centimeter\n", " \n", " \n", - " 72594\n", + " 66824\n", " 46.9\n", " mS/cm\n", " NaN\n", @@ -7212,7 +7693,7 @@ " 46900.0 microsiemens / centimeter\n", " \n", " \n", - " 104091\n", + " 106347\n", " 46.8\n", " mS/cm\n", " NaN\n", @@ -7228,7 +7709,7 @@ " ...\n", " \n", " \n", - " 4703\n", + " 5042\n", " 0.03\n", " uS/cm\n", " NaN\n", @@ -7236,7 +7717,7 @@ " 0.03 microsiemens / centimeter\n", " \n", " \n", - " 5171\n", + " 5287\n", " 0.02\n", " uS/cm\n", " NaN\n", @@ -7244,7 +7725,7 @@ " 0.02 microsiemens / centimeter\n", " \n", " \n", - " 2651\n", + " 2738\n", " 0.02\n", " uS/cm\n", " NaN\n", @@ -7252,7 +7733,7 @@ " 0.02 microsiemens / centimeter\n", " \n", " \n", - " 3052\n", + " 6715\n", " 0\n", " uS/cm\n", " NaN\n", @@ -7260,7 +7741,7 @@ " 0.0 microsiemens / centimeter\n", " \n", " \n", - " 6576\n", + " 3156\n", " 0\n", " uS/cm\n", " NaN\n", @@ -7269,37 +7750,37 @@ " \n", " \n", "\n", - "

1953 rows × 5 columns

\n", + "

2599 rows × 5 columns

\n", "" ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag Salinity \\\n", - "103595 48.6 mS/cm NaN NaN \n", - "105049 48.15 mS/cm NaN NaN \n", - "67796 48 mS/cm NaN NaN \n", - "72594 46.9 mS/cm NaN NaN \n", - "104091 46.8 mS/cm NaN NaN \n", + "105835 48.6 mS/cm NaN NaN \n", + "107360 48.15 mS/cm NaN NaN \n", + "62032 48 mS/cm NaN NaN \n", + "66824 46.9 mS/cm NaN NaN \n", + "106347 46.8 mS/cm NaN NaN \n", "... ... ... ... ... \n", - "4703 0.03 uS/cm NaN NaN \n", - "5171 0.02 uS/cm NaN NaN \n", - "2651 0.02 uS/cm NaN NaN \n", - "3052 0 uS/cm NaN NaN \n", - "6576 0 uS/cm NaN NaN \n", + "5042 0.03 uS/cm NaN NaN \n", + "5287 0.02 uS/cm NaN NaN \n", + "2738 0.02 uS/cm NaN NaN \n", + "6715 0 uS/cm NaN NaN \n", + "3156 0 uS/cm NaN NaN \n", "\n", " Conductivity \n", - "103595 48600.0 microsiemens / centimeter \n", - "105049 48150.0 microsiemens / centimeter \n", - "67796 48000.0 microsiemens / centimeter \n", - "72594 46900.0 microsiemens / centimeter \n", - "104091 46800.0 microsiemens / centimeter \n", + "105835 48600.0 microsiemens / centimeter \n", + "107360 48150.0 microsiemens / centimeter \n", + "62032 48000.0 microsiemens / centimeter \n", + "66824 46900.0 microsiemens / centimeter \n", + "106347 46800.0 microsiemens / centimeter \n", "... ... \n", - "4703 0.03 microsiemens / centimeter \n", - "5171 0.02 microsiemens / centimeter \n", - "2651 0.02 microsiemens / centimeter \n", - "3052 0.0 microsiemens / centimeter \n", - "6576 0.0 microsiemens / centimeter \n", + "5042 0.03 microsiemens / centimeter \n", + "5287 0.02 microsiemens / centimeter \n", + "2738 0.02 microsiemens / centimeter \n", + "6715 0.0 microsiemens / centimeter \n", + "3156 0.0 microsiemens / centimeter \n", "\n", - "[1953 rows x 5 columns]" + "[2599 rows x 5 columns]" ] }, "execution_count": 80, @@ -7317,23 +7798,30 @@ { "cell_type": "code", "execution_count": 81, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:43.902659Z", + "iopub.status.busy": "2024-08-16T20:37:43.902273Z", + "iopub.status.idle": "2024-08-16T20:37:44.592071Z", + "shell.execute_reply": "2024-08-16T20:37:44.591564Z" + } + }, "outputs": [ { "data": { "text/plain": [ - "103595 31.712 dimensionless\n", - "105049 31.384 dimensionless\n", - "67796 31.274 dimensionless\n", - "72594 30.474 dimensionless\n", - "104091 30.401 dimensionless\n", + "105835 31.712 dimensionless\n", + "107360 31.384 dimensionless\n", + "62032 31.274 dimensionless\n", + "66824 30.474 dimensionless\n", + "106347 30.401 dimensionless\n", " ... \n", - "4703 0.012 dimensionless\n", - "5171 0.012 dimensionless\n", - "2651 0.012 dimensionless\n", - "3052 0.012 dimensionless\n", - "6576 0.012 dimensionless\n", - "Name: Salinity, Length: 1953, dtype: object" + "5042 0.012 dimensionless\n", + "5287 0.012 dimensionless\n", + "2738 0.012 dimensionless\n", + "6715 0.012 dimensionless\n", + "3156 0.012 dimensionless\n", + "Name: Salinity, Length: 2599, dtype: object" ] }, "execution_count": 81, @@ -7365,7 +7853,14 @@ { "cell_type": "code", "execution_count": 82, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:44.594514Z", + "iopub.status.busy": "2024-08-16T20:37:44.594107Z", + "iopub.status.idle": "2024-08-16T20:37:44.612075Z", + "shell.execute_reply": "2024-08-16T20:37:44.611500Z" + } + }, "outputs": [ { "data": { @@ -7395,31 +7890,31 @@ " \n", " \n", " \n", - " 103595\n", + " 105835\n", " 2007-08-23\n", " 09:23:00\n", " EST\n", " \n", " \n", - " 105049\n", + " 107360\n", " 2007-08-09\n", " 08:14:00\n", " EST\n", " \n", " \n", - " 67796\n", + " 62032\n", " 2006-08-21\n", " 11:50:00\n", " EST\n", " \n", " \n", - " 72594\n", + " 66824\n", " 2006-08-07\n", " 10:00:00\n", " EST\n", " \n", " \n", - " 104091\n", + " 106347\n", " 2007-08-09\n", " 10:20:00\n", " EST\n", @@ -7431,55 +7926,55 @@ " ...\n", " \n", " \n", - " 413446\n", + " 416607\n", " 2024-01-08\n", " 12:00:00\n", " EST\n", " \n", " \n", - " 413447\n", + " 416608\n", " 2024-02-12\n", " 08:45:00\n", " EST\n", " \n", " \n", - " 413448\n", + " 416609\n", " 2024-02-12\n", " 08:45:00\n", " EST\n", " \n", " \n", - " 413449\n", + " 416610\n", " 2024-02-12\n", " 08:45:00\n", " EST\n", " \n", " \n", - " 413450\n", + " 416611\n", " 2024-02-12\n", " 08:45:00\n", " EST\n", " \n", " \n", "\n", - "

413451 rows × 3 columns

\n", + "

416612 rows × 3 columns

\n", "" ], "text/plain": [ " ActivityStartDate ActivityStartTime/Time ActivityStartTime/TimeZoneCode\n", - "103595 2007-08-23 09:23:00 EST\n", - "105049 2007-08-09 08:14:00 EST\n", - "67796 2006-08-21 11:50:00 EST\n", - "72594 2006-08-07 10:00:00 EST\n", - "104091 2007-08-09 10:20:00 EST\n", + "105835 2007-08-23 09:23:00 EST\n", + "107360 2007-08-09 08:14:00 EST\n", + "62032 2006-08-21 11:50:00 EST\n", + "66824 2006-08-07 10:00:00 EST\n", + "106347 2007-08-09 10:20:00 EST\n", "... ... ... ...\n", - "413446 2024-01-08 12:00:00 EST\n", - "413447 2024-02-12 08:45:00 EST\n", - "413448 2024-02-12 08:45:00 EST\n", - "413449 2024-02-12 08:45:00 EST\n", - "413450 2024-02-12 08:45:00 EST\n", + "416607 2024-01-08 12:00:00 EST\n", + "416608 2024-02-12 08:45:00 EST\n", + "416609 2024-02-12 08:45:00 EST\n", + "416610 2024-02-12 08:45:00 EST\n", + "416611 2024-02-12 08:45:00 EST\n", "\n", - "[413451 rows x 3 columns]" + "[416612 rows x 3 columns]" ] }, "execution_count": 82, @@ -7496,13 +7991,20 @@ { "cell_type": "code", "execution_count": 83, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:44.614420Z", + "iopub.status.busy": "2024-08-16T20:37:44.614060Z", + "iopub.status.idle": "2024-08-16T20:37:47.437990Z", + "shell.execute_reply": "2024-08-16T20:37:47.437317Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\dataretrieval\\utils.py:87: UserWarning: Warning: 132728 incomplete dates found, consider setting datetime_index to False.\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/dataretrieval/utils.py:87: UserWarning: Warning: 132776 incomplete dates found, consider setting datetime_index to False.\n", " warnings.warn(\n" ] }, @@ -7533,27 +8035,27 @@ " \n", " \n", " \n", - " 103595\n", + " 105835\n", " 2007-08-23\n", " 2007-08-23 14:23:00+00:00\n", " \n", " \n", - " 105049\n", + " 107360\n", " 2007-08-09\n", " 2007-08-09 13:14:00+00:00\n", " \n", " \n", - " 67796\n", + " 62032\n", " 2006-08-21\n", " 2006-08-21 16:50:00+00:00\n", " \n", " \n", - " 72594\n", + " 66824\n", " 2006-08-07\n", " 2006-08-07 15:00:00+00:00\n", " \n", " \n", - " 104091\n", + " 106347\n", " 2007-08-09\n", " 2007-08-09 15:20:00+00:00\n", " \n", @@ -7563,50 +8065,50 @@ " ...\n", " \n", " \n", - " 413446\n", + " 416607\n", " 2024-01-08\n", " 2024-01-08 17:00:00+00:00\n", " \n", " \n", - " 413447\n", + " 416608\n", " 2024-02-12\n", " 2024-02-12 13:45:00+00:00\n", " \n", " \n", - " 413448\n", + " 416609\n", " 2024-02-12\n", " 2024-02-12 13:45:00+00:00\n", " \n", " \n", - " 413449\n", + " 416610\n", " 2024-02-12\n", " 2024-02-12 13:45:00+00:00\n", " \n", " \n", - " 413450\n", + " 416611\n", " 2024-02-12\n", " 2024-02-12 13:45:00+00:00\n", " \n", " \n", "\n", - "

413451 rows × 2 columns

\n", + "

416612 rows × 2 columns

\n", "" ], "text/plain": [ " ActivityStartDate Activity_datetime\n", - "103595 2007-08-23 2007-08-23 14:23:00+00:00\n", - "105049 2007-08-09 2007-08-09 13:14:00+00:00\n", - "67796 2006-08-21 2006-08-21 16:50:00+00:00\n", - "72594 2006-08-07 2006-08-07 15:00:00+00:00\n", - "104091 2007-08-09 2007-08-09 15:20:00+00:00\n", + "105835 2007-08-23 2007-08-23 14:23:00+00:00\n", + "107360 2007-08-09 2007-08-09 13:14:00+00:00\n", + "62032 2006-08-21 2006-08-21 16:50:00+00:00\n", + "66824 2006-08-07 2006-08-07 15:00:00+00:00\n", + "106347 2007-08-09 2007-08-09 15:20:00+00:00\n", "... ... ...\n", - "413446 2024-01-08 2024-01-08 17:00:00+00:00\n", - "413447 2024-02-12 2024-02-12 13:45:00+00:00\n", - "413448 2024-02-12 2024-02-12 13:45:00+00:00\n", - "413449 2024-02-12 2024-02-12 13:45:00+00:00\n", - "413450 2024-02-12 2024-02-12 13:45:00+00:00\n", + "416607 2024-01-08 2024-01-08 17:00:00+00:00\n", + "416608 2024-02-12 2024-02-12 13:45:00+00:00\n", + "416609 2024-02-12 2024-02-12 13:45:00+00:00\n", + "416610 2024-02-12 2024-02-12 13:45:00+00:00\n", + "416611 2024-02-12 2024-02-12 13:45:00+00:00\n", "\n", - "[413451 rows x 2 columns]" + "[416612 rows x 2 columns]" ] }, "execution_count": 83, @@ -7644,30 +8146,29 @@ { "cell_type": "code", "execution_count": 84, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:47.440313Z", + "iopub.status.busy": "2024-08-16T20:37:47.440144Z", + "iopub.status.idle": "2024-08-16T20:37:47.912429Z", + "shell.execute_reply": "2024-08-16T20:37:47.911881Z" + } + }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" - ] - }, { "data": { "text/plain": [ - "103595 0.15\n", - "105049 0.15\n", - "67796 0.15\n", - "72594 0.15\n", - "104091 0.15\n", + "105835 0.15\n", + "107360 0.15\n", + "62032 0.15\n", + "66824 0.15\n", + "106347 0.15\n", " ... \n", - "279222 0.15\n", - "279263 0.15\n", - "279277 0.15\n", - "279291 0.15\n", - "279320 0.15\n", + "282332 0.15\n", + "282381 0.15\n", + "282388 0.15\n", + "282416 0.15\n", + "282452 0.15\n", "Name: ResultDepthHeightMeasure/MeasureValue, Length: 2460, dtype: float64" ] }, @@ -7693,7 +8194,14 @@ { "cell_type": "code", "execution_count": 85, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:47.914767Z", + "iopub.status.busy": "2024-08-16T20:37:47.914417Z", + "iopub.status.idle": "2024-08-16T20:37:54.384265Z", + "shell.execute_reply": "2024-08-16T20:37:54.383659Z" + } + }, "outputs": [ { "data": { @@ -7727,21 +8235,21 @@ " DataLoggerLine\n", " ResultDetectionConditionText\n", " ...\n", - " QA_TP_Phosphorus\n", - " QA_TDP_Phosphorus\n", " QA_Other_Phosphorus\n", - " QA_Conductivity\n", - " QA_Salinity\n", + " QA_Fecal_Coliform\n", + " QA_E_coli\n", " QA_pH\n", - " QA_DO\n", + " QA_Carbon\n", + " QA_Sediment\n", " QA_Nitrogen\n", - " QA_Temperature\n", - " QA_Fecal_Coliform\n", + " QA_Turbidity\n", + " QA_DO\n", + " QA_Chlorophyll\n", " \n", " \n", " \n", " \n", - " 103595\n", + " 105835\n", " WWMD_VA\n", " WQX Test Organization\n", " WWMD_VA-BI1:20070823092300:SO:1.5:WB\n", @@ -7765,7 +8273,7 @@ " NaN\n", " \n", " \n", - " 105049\n", + " 107360\n", " WWMD_VA\n", " WQX Test Organization\n", " WWMD_VA-BI1:20070809081400:SO:1.7:WB\n", @@ -7789,7 +8297,7 @@ " NaN\n", " \n", " \n", - " 67796\n", + " 62032\n", " WWMD_VA\n", " WQX Test Organization\n", " WWMD_VA-SR6A:20060821115000:SO:0.8:WB\n", @@ -7813,7 +8321,7 @@ " NaN\n", " \n", " \n", - " 72594\n", + " 66824\n", " WWMD_VA\n", " WQX Test Organization\n", " WWMD_VA-OB6:20060807100000:SO:1.7:WB\n", @@ -7837,7 +8345,7 @@ " NaN\n", " \n", " \n", - " 104091\n", + " 106347\n", " WWMD_VA\n", " WQX Test Organization\n", " WWMD_VA-LT1N:20070809102000:SO:0.75:WB\n", @@ -7885,7 +8393,7 @@ " ...\n", " \n", " \n", - " 413446\n", + " 416607\n", " USGS-MA\n", " USGS Massachusetts Water Science Center\n", " nwisma.01.02400495\n", @@ -7909,7 +8417,7 @@ " NaN\n", " \n", " \n", - " 413447\n", + " 416608\n", " USGS-MA\n", " USGS Massachusetts Water Science Center\n", " nwisma.01.02400639\n", @@ -7933,7 +8441,7 @@ " NaN\n", " \n", " \n", - " 413448\n", + " 416609\n", " USGS-MA\n", " USGS Massachusetts Water Science Center\n", " nwisma.01.02400639\n", @@ -7957,7 +8465,7 @@ " NaN\n", " \n", " \n", - " 413449\n", + " 416610\n", " USGS-MA\n", " USGS Massachusetts Water Science Center\n", " nwisma.01.02400639\n", @@ -7981,7 +8489,7 @@ " NaN\n", " \n", " \n", - " 413450\n", + " 416611\n", " USGS-MA\n", " USGS Massachusetts Water Science Center\n", " nwisma.01.02400639\n", @@ -8006,102 +8514,102 @@ " \n", " \n", "\n", - "

377578 rows × 118 columns

\n", + "

380739 rows × 118 columns

\n", "" ], "text/plain": [ " OrganizationIdentifier OrganizationFormalName \\\n", - "103595 WWMD_VA WQX Test Organization \n", - "105049 WWMD_VA WQX Test Organization \n", - "67796 WWMD_VA WQX Test Organization \n", - "72594 WWMD_VA WQX Test Organization \n", - "104091 WWMD_VA WQX Test Organization \n", + "105835 WWMD_VA WQX Test Organization \n", + "107360 WWMD_VA WQX Test Organization \n", + "62032 WWMD_VA WQX Test Organization \n", + "66824 WWMD_VA WQX Test Organization \n", + "106347 WWMD_VA WQX Test Organization \n", "... ... ... \n", - "413446 USGS-MA USGS Massachusetts Water Science Center \n", - "413447 USGS-MA USGS Massachusetts Water Science Center \n", - "413448 USGS-MA USGS Massachusetts Water Science Center \n", - "413449 USGS-MA USGS Massachusetts Water Science Center \n", - "413450 USGS-MA USGS Massachusetts Water Science Center \n", + "416607 USGS-MA USGS Massachusetts Water Science Center \n", + "416608 USGS-MA USGS Massachusetts Water Science Center \n", + "416609 USGS-MA USGS Massachusetts Water Science Center \n", + "416610 USGS-MA USGS Massachusetts Water Science Center \n", + "416611 USGS-MA USGS Massachusetts Water Science Center \n", "\n", " ActivityIdentifier ActivityStartDate \\\n", - "103595 WWMD_VA-BI1:20070823092300:SO:1.5:WB 2007-08-23 \n", - "105049 WWMD_VA-BI1:20070809081400:SO:1.7:WB 2007-08-09 \n", - "67796 WWMD_VA-SR6A:20060821115000:SO:0.8:WB 2006-08-21 \n", - "72594 WWMD_VA-OB6:20060807100000:SO:1.7:WB 2006-08-07 \n", - "104091 WWMD_VA-LT1N:20070809102000:SO:0.75:WB 2007-08-09 \n", + "105835 WWMD_VA-BI1:20070823092300:SO:1.5:WB 2007-08-23 \n", + "107360 WWMD_VA-BI1:20070809081400:SO:1.7:WB 2007-08-09 \n", + "62032 WWMD_VA-SR6A:20060821115000:SO:0.8:WB 2006-08-21 \n", + "66824 WWMD_VA-OB6:20060807100000:SO:1.7:WB 2006-08-07 \n", + "106347 WWMD_VA-LT1N:20070809102000:SO:0.75:WB 2007-08-09 \n", "... ... ... \n", - "413446 nwisma.01.02400495 2024-01-08 \n", - "413447 nwisma.01.02400639 2024-02-12 \n", - "413448 nwisma.01.02400639 2024-02-12 \n", - "413449 nwisma.01.02400639 2024-02-12 \n", - "413450 nwisma.01.02400639 2024-02-12 \n", + "416607 nwisma.01.02400495 2024-01-08 \n", + "416608 nwisma.01.02400639 2024-02-12 \n", + "416609 nwisma.01.02400639 2024-02-12 \n", + "416610 nwisma.01.02400639 2024-02-12 \n", + "416611 nwisma.01.02400639 2024-02-12 \n", "\n", " ActivityStartTime/Time ActivityStartTime/TimeZoneCode \\\n", - "103595 09:23:00 -0500 \n", - "105049 08:14:00 -0500 \n", - "67796 11:50:00 -0500 \n", - "72594 10:00:00 -0500 \n", - "104091 10:20:00 -0500 \n", + "105835 09:23:00 -0500 \n", + "107360 08:14:00 -0500 \n", + "62032 11:50:00 -0500 \n", + "66824 10:00:00 -0500 \n", + "106347 10:20:00 -0500 \n", "... ... ... \n", - "413446 12:00:00 -0500 \n", - "413447 08:45:00 -0500 \n", - "413448 08:45:00 -0500 \n", - "413449 08:45:00 -0500 \n", - "413450 08:45:00 -0500 \n", + "416607 12:00:00 -0500 \n", + "416608 08:45:00 -0500 \n", + "416609 08:45:00 -0500 \n", + "416610 08:45:00 -0500 \n", + "416611 08:45:00 -0500 \n", "\n", " MonitoringLocationIdentifier ResultIdentifier DataLoggerLine \\\n", - "103595 WWMD_VA-BI1 STORET-1013198907 NaN \n", - "105049 WWMD_VA-BI1 STORET-1013198861 NaN \n", - "67796 WWMD_VA-SR6A STORET-1013198845 NaN \n", - "72594 WWMD_VA-OB6 STORET-1013198765 NaN \n", - "104091 WWMD_VA-LT1N STORET-1013198891 NaN \n", + "105835 WWMD_VA-BI1 STORET-1013198907 NaN \n", + "107360 WWMD_VA-BI1 STORET-1013198861 NaN \n", + "62032 WWMD_VA-SR6A STORET-1013198845 NaN \n", + "66824 WWMD_VA-OB6 STORET-1013198765 NaN \n", + "106347 WWMD_VA-LT1N STORET-1013198891 NaN \n", "... ... ... ... \n", - "413446 USGS-01098530 NWIS-126836828 NaN \n", - "413447 USGS-01097050 NWIS-126989046 NaN \n", - "413448 USGS-01097050 NWIS-126989056 NaN \n", - "413449 USGS-01097050 NWIS-126989063 NaN \n", - "413450 USGS-01097050 NWIS-126989064 NaN \n", - "\n", - " ResultDetectionConditionText ... QA_TP_Phosphorus QA_TDP_Phosphorus \\\n", - "103595 NaN ... NaN NaN \n", - "105049 NaN ... NaN NaN \n", - "67796 NaN ... NaN NaN \n", - "72594 NaN ... NaN NaN \n", - "104091 NaN ... NaN NaN \n", - "... ... ... ... ... \n", - "413446 NaN ... NaN NaN \n", - "413447 NaN ... NaN NaN \n", - "413448 NaN ... NaN NaN \n", - "413449 NaN ... NaN NaN \n", - "413450 NaN ... NaN NaN \n", - "\n", - " QA_Other_Phosphorus QA_Conductivity QA_Salinity QA_pH QA_DO \\\n", - "103595 NaN NaN NaN NaN NaN \n", - "105049 NaN NaN NaN NaN NaN \n", - "67796 NaN NaN NaN NaN NaN \n", - "72594 NaN NaN NaN NaN NaN \n", - "104091 NaN NaN NaN NaN NaN \n", - "... ... ... ... ... ... \n", - "413446 NaN NaN NaN NaN NaN \n", - "413447 NaN NaN NaN NaN NaN \n", - "413448 NaN NaN NaN NaN NaN \n", - "413449 NaN NaN NaN NaN NaN \n", - "413450 NaN NaN NaN NaN NaN \n", - "\n", - " QA_Nitrogen QA_Temperature QA_Fecal_Coliform \n", - "103595 NaN NaN NaN \n", - "105049 NaN NaN NaN \n", - "67796 NaN NaN NaN \n", - "72594 NaN NaN NaN \n", - "104091 NaN NaN NaN \n", - "... ... ... ... \n", - "413446 NaN NaN NaN \n", - "413447 NaN NaN NaN \n", - "413448 NaN NaN NaN \n", - "413449 NaN NaN NaN \n", - "413450 NaN NaN NaN \n", - "\n", - "[377578 rows x 118 columns]" + "416607 USGS-01098530 NWIS-126836828 NaN \n", + "416608 USGS-01097050 NWIS-126989046 NaN \n", + "416609 USGS-01097050 NWIS-126989056 NaN \n", + "416610 USGS-01097050 NWIS-126989063 NaN \n", + "416611 USGS-01097050 NWIS-126989064 NaN \n", + "\n", + " ResultDetectionConditionText ... QA_Other_Phosphorus \\\n", + "105835 NaN ... NaN \n", + "107360 NaN ... NaN \n", + "62032 NaN ... NaN \n", + "66824 NaN ... NaN \n", + "106347 NaN ... NaN \n", + "... ... ... ... \n", + "416607 NaN ... NaN \n", + "416608 NaN ... NaN \n", + "416609 NaN ... NaN \n", + "416610 NaN ... NaN \n", + "416611 NaN ... NaN \n", + "\n", + " QA_Fecal_Coliform QA_E_coli QA_pH QA_Carbon QA_Sediment QA_Nitrogen \\\n", + "105835 NaN NaN NaN NaN NaN NaN \n", + "107360 NaN NaN NaN NaN NaN NaN \n", + "62032 NaN NaN NaN NaN NaN NaN \n", + "66824 NaN NaN NaN NaN NaN NaN \n", + "106347 NaN NaN NaN NaN NaN NaN \n", + "... ... ... ... ... ... ... \n", + "416607 NaN NaN NaN NaN NaN NaN \n", + "416608 NaN NaN NaN NaN NaN NaN \n", + "416609 NaN NaN NaN NaN NaN NaN \n", + "416610 NaN NaN NaN NaN NaN NaN \n", + "416611 NaN NaN NaN NaN NaN NaN \n", + "\n", + " QA_Turbidity QA_DO QA_Chlorophyll \n", + "105835 NaN NaN NaN \n", + "107360 NaN NaN NaN \n", + "62032 NaN NaN NaN \n", + "66824 NaN NaN NaN \n", + "106347 NaN NaN NaN \n", + "... ... ... ... \n", + "416607 NaN NaN NaN \n", + "416608 NaN NaN NaN \n", + "416609 NaN NaN NaN \n", + "416610 NaN NaN NaN \n", + "416611 NaN NaN NaN \n", + "\n", + "[380739 rows x 118 columns]" ] }, "execution_count": 85, @@ -8118,7 +8626,14 @@ { "cell_type": "code", "execution_count": 86, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:54.386675Z", + "iopub.status.busy": "2024-08-16T20:37:54.386351Z", + "iopub.status.idle": "2024-08-16T20:37:54.389856Z", + "shell.execute_reply": "2024-08-16T20:37:54.389338Z" + } + }, "outputs": [ { "name": "stdout", @@ -8136,7 +8651,14 @@ { "cell_type": "code", "execution_count": 87, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:54.391903Z", + "iopub.status.busy": "2024-08-16T20:37:54.391554Z", + "iopub.status.idle": "2024-08-16T20:37:54.394825Z", + "shell.execute_reply": "2024-08-16T20:37:54.394306Z" + } + }, "outputs": [ { "name": "stdout", @@ -8154,7 +8676,14 @@ { "cell_type": "code", "execution_count": 88, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:54.396855Z", + "iopub.status.busy": "2024-08-16T20:37:54.396494Z", + "iopub.status.idle": "2024-08-16T20:37:55.002373Z", + "shell.execute_reply": "2024-08-16T20:37:55.001683Z" + } + }, "outputs": [ { "data": { @@ -8215,7 +8744,14 @@ { "cell_type": "code", "execution_count": 89, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:55.004766Z", + "iopub.status.busy": "2024-08-16T20:37:55.004396Z", + "iopub.status.idle": "2024-08-16T20:37:55.484614Z", + "shell.execute_reply": "2024-08-16T20:37:55.484030Z" + } + }, "outputs": [], "source": [ "# split table into main and characteristics tables\n", @@ -8225,7 +8761,14 @@ { "cell_type": "code", "execution_count": 90, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:55.487250Z", + "iopub.status.busy": "2024-08-16T20:37:55.486887Z", + "iopub.status.idle": "2024-08-16T20:37:55.490954Z", + "shell.execute_reply": "2024-08-16T20:37:55.490393Z" + } + }, "outputs": [ { "data": { @@ -8239,11 +8782,11 @@ " 'E_coli', 'DetectionQuantitationLimitTypeName',\n", " 'DetectionQuantitationLimitMeasure/MeasureValue',\n", " 'DetectionQuantitationLimitMeasure/MeasureUnitCode',\n", - " 'Activity_datetime', 'Depth', 'QA_Secchi', 'QA_Turbidity',\n", - " 'QA_Sediment', 'QA_E_coli', 'QA_Carbon', 'QA_Chlorophyll',\n", - " 'QA_TP_Phosphorus', 'QA_TDP_Phosphorus', 'QA_Other_Phosphorus',\n", - " 'QA_Conductivity', 'QA_Salinity', 'QA_pH', 'QA_DO', 'QA_Nitrogen',\n", - " 'QA_Temperature', 'QA_Fecal_Coliform'],\n", + " 'Activity_datetime', 'Depth', 'QA_Secchi', 'QA_Salinity',\n", + " 'QA_Conductivity', 'QA_Temperature', 'QA_TP_Phosphorus',\n", + " 'QA_TDP_Phosphorus', 'QA_Other_Phosphorus', 'QA_Fecal_Coliform',\n", + " 'QA_E_coli', 'QA_pH', 'QA_Carbon', 'QA_Sediment', 'QA_Nitrogen',\n", + " 'QA_Turbidity', 'QA_DO', 'QA_Chlorophyll'],\n", " dtype='object')" ] }, @@ -8260,7 +8803,14 @@ { "cell_type": "code", "execution_count": 91, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:55.493043Z", + "iopub.status.busy": "2024-08-16T20:37:55.492731Z", + "iopub.status.idle": "2024-08-16T20:37:55.505505Z", + "shell.execute_reply": "2024-08-16T20:37:55.505046Z" + } + }, "outputs": [ { "data": { @@ -8294,21 +8844,21 @@ " pH\n", " Salinity\n", " ...\n", - " QA_TP_Phosphorus\n", - " QA_TDP_Phosphorus\n", " QA_Other_Phosphorus\n", - " QA_Conductivity\n", - " QA_Salinity\n", + " QA_Fecal_Coliform\n", + " QA_E_coli\n", " QA_pH\n", - " QA_DO\n", + " QA_Carbon\n", + " QA_Sediment\n", " QA_Nitrogen\n", - " QA_Temperature\n", - " QA_Fecal_Coliform\n", + " QA_Turbidity\n", + " QA_DO\n", + " QA_Chlorophyll\n", " \n", " \n", " \n", " \n", - " 103595\n", + " 105835\n", " WWMD_VA\n", " WQX Test Organization\n", " WWMD_VA-BI1:20070823092300:SO:1.5:WB\n", @@ -8332,7 +8882,7 @@ " NaN\n", " \n", " \n", - " 105049\n", + " 107360\n", " WWMD_VA\n", " WQX Test Organization\n", " WWMD_VA-BI1:20070809081400:SO:1.7:WB\n", @@ -8356,7 +8906,7 @@ " NaN\n", " \n", " \n", - " 67796\n", + " 62032\n", " WWMD_VA\n", " WQX Test Organization\n", " WWMD_VA-SR6A:20060821115000:SO:0.8:WB\n", @@ -8380,7 +8930,7 @@ " NaN\n", " \n", " \n", - " 72594\n", + " 66824\n", " WWMD_VA\n", " WQX Test Organization\n", " WWMD_VA-OB6:20060807100000:SO:1.7:WB\n", @@ -8404,7 +8954,7 @@ " NaN\n", " \n", " \n", - " 104091\n", + " 106347\n", " WWMD_VA\n", " WQX Test Organization\n", " WWMD_VA-LT1N:20070809102000:SO:0.75:WB\n", @@ -8434,39 +8984,39 @@ ], "text/plain": [ " OrganizationIdentifier OrganizationFormalName \\\n", - "103595 WWMD_VA WQX Test Organization \n", - "105049 WWMD_VA WQX Test Organization \n", - "67796 WWMD_VA WQX Test Organization \n", - "72594 WWMD_VA WQX Test Organization \n", - "104091 WWMD_VA WQX Test Organization \n", + "105835 WWMD_VA WQX Test Organization \n", + "107360 WWMD_VA WQX Test Organization \n", + "62032 WWMD_VA WQX Test Organization \n", + "66824 WWMD_VA WQX Test Organization \n", + "106347 WWMD_VA WQX Test Organization \n", "\n", " ActivityIdentifier MonitoringLocationIdentifier \\\n", - "103595 WWMD_VA-BI1:20070823092300:SO:1.5:WB WWMD_VA-BI1 \n", - "105049 WWMD_VA-BI1:20070809081400:SO:1.7:WB WWMD_VA-BI1 \n", - "67796 WWMD_VA-SR6A:20060821115000:SO:0.8:WB WWMD_VA-SR6A \n", - "72594 WWMD_VA-OB6:20060807100000:SO:1.7:WB WWMD_VA-OB6 \n", - "104091 WWMD_VA-LT1N:20070809102000:SO:0.75:WB WWMD_VA-LT1N \n", + "105835 WWMD_VA-BI1:20070823092300:SO:1.5:WB WWMD_VA-BI1 \n", + "107360 WWMD_VA-BI1:20070809081400:SO:1.7:WB WWMD_VA-BI1 \n", + "62032 WWMD_VA-SR6A:20060821115000:SO:0.8:WB WWMD_VA-SR6A \n", + "66824 WWMD_VA-OB6:20060807100000:SO:1.7:WB WWMD_VA-OB6 \n", + "106347 WWMD_VA-LT1N:20070809102000:SO:0.75:WB WWMD_VA-LT1N \n", "\n", " ProviderName Secchi Temperature DO pH Salinity ... \\\n", - "103595 STORET NaN NaN NaN NaN 31.712 dimensionless ... \n", - "105049 STORET NaN NaN NaN NaN 31.384 dimensionless ... \n", - "67796 STORET NaN NaN NaN NaN 31.274 dimensionless ... \n", - "72594 STORET NaN NaN NaN NaN 30.474 dimensionless ... \n", - "104091 STORET NaN NaN NaN NaN 30.401 dimensionless ... \n", - "\n", - " QA_TP_Phosphorus QA_TDP_Phosphorus QA_Other_Phosphorus QA_Conductivity \\\n", - "103595 NaN NaN NaN NaN \n", - "105049 NaN NaN NaN NaN \n", - "67796 NaN NaN NaN NaN \n", - "72594 NaN NaN NaN NaN \n", - "104091 NaN NaN NaN NaN \n", - "\n", - " QA_Salinity QA_pH QA_DO QA_Nitrogen QA_Temperature QA_Fecal_Coliform \n", - "103595 NaN NaN NaN NaN NaN NaN \n", - "105049 NaN NaN NaN NaN NaN NaN \n", - "67796 NaN NaN NaN NaN NaN NaN \n", - "72594 NaN NaN NaN NaN NaN NaN \n", - "104091 NaN NaN NaN NaN NaN NaN \n", + "105835 STORET NaN NaN NaN NaN 31.712 dimensionless ... \n", + "107360 STORET NaN NaN NaN NaN 31.384 dimensionless ... \n", + "62032 STORET NaN NaN NaN NaN 31.274 dimensionless ... \n", + "66824 STORET NaN NaN NaN NaN 30.474 dimensionless ... \n", + "106347 STORET NaN NaN NaN NaN 30.401 dimensionless ... \n", + "\n", + " QA_Other_Phosphorus QA_Fecal_Coliform QA_E_coli QA_pH QA_Carbon \\\n", + "105835 NaN NaN NaN NaN NaN \n", + "107360 NaN NaN NaN NaN NaN \n", + "62032 NaN NaN NaN NaN NaN \n", + "66824 NaN NaN NaN NaN NaN \n", + "106347 NaN NaN NaN NaN NaN \n", + "\n", + " QA_Sediment QA_Nitrogen QA_Turbidity QA_DO QA_Chlorophyll \n", + "105835 NaN NaN NaN NaN NaN \n", + "107360 NaN NaN NaN NaN NaN \n", + "62032 NaN NaN NaN NaN NaN \n", + "66824 NaN NaN NaN NaN NaN \n", + "106347 NaN NaN NaN NaN NaN \n", "\n", "[5 rows x 45 columns]" ] @@ -8484,7 +9034,14 @@ { "cell_type": "code", "execution_count": 92, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:55.507583Z", + "iopub.status.busy": "2024-08-16T20:37:55.507265Z", + "iopub.status.idle": "2024-08-16T20:37:57.732865Z", + "shell.execute_reply": "2024-08-16T20:37:57.732309Z" + } + }, "outputs": [ { "data": { @@ -8493,11 +9050,11 @@ " 'DetectionQuantitationLimitTypeName',\n", " 'DetectionQuantitationLimitMeasure/MeasureValue',\n", " 'DetectionQuantitationLimitMeasure/MeasureUnitCode',\n", - " 'QA_Sediment',\n", + " 'QA_Conductivity',\n", + " 'QA_TDP_Phosphorus',\n", " 'QA_E_coli',\n", " 'QA_Carbon',\n", - " 'QA_TDP_Phosphorus',\n", - " 'QA_Conductivity',\n", + " 'QA_Sediment',\n", " 'QA_DO']" ] }, @@ -8516,7 +9073,14 @@ { "cell_type": "code", "execution_count": 93, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:37:57.735233Z", + "iopub.status.busy": "2024-08-16T20:37:57.734791Z", + "iopub.status.idle": "2024-08-16T20:37:58.171698Z", + "shell.execute_reply": "2024-08-16T20:37:58.171092Z" + } + }, "outputs": [ { "data": { @@ -8530,7 +9094,7 @@ }, { "data": { - "image/png": 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" ] @@ -8566,7 +9130,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.12.4" } }, "nbformat": 4, diff --git a/demos/Harmonize_CapeCod_Simple.ipynb b/demos/Harmonize_CapeCod_Simple.ipynb index 37657a8..14f4b48 100644 --- a/demos/Harmonize_CapeCod_Simple.ipynb +++ b/demos/Harmonize_CapeCod_Simple.ipynb @@ -52,7 +52,14 @@ { "cell_type": "code", "execution_count": 1, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:38:01.485646Z", + "iopub.status.busy": "2024-08-16T20:38:01.485447Z", + "iopub.status.idle": "2024-08-16T20:38:01.488894Z", + "shell.execute_reply": "2024-08-16T20:38:01.488349Z" + } + }, "outputs": [], "source": [ "import sys\n", @@ -73,8 +80,24 @@ { "cell_type": "code", "execution_count": 2, - "metadata": {}, - "outputs": [], + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:38:01.491285Z", + "iopub.status.busy": "2024-08-16T20:38:01.490965Z", + "iopub.status.idle": "2024-08-16T20:38:02.212270Z", + "shell.execute_reply": "2024-08-16T20:38:02.211599Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/dataretrieval/nadp.py:44: UserWarning: GDAL not installed. Some functions will not work.\n", + " warnings.warn('GDAL not installed. Some functions will not work.')\n" + ] + } + ], "source": [ "from harmonize_wq import wrangle" ] @@ -82,7 +105,14 @@ { "cell_type": "code", "execution_count": 3, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:38:02.250757Z", + "iopub.status.busy": "2024-08-16T20:38:02.250170Z", + "iopub.status.idle": "2024-08-16T20:38:02.253428Z", + "shell.execute_reply": "2024-08-16T20:38:02.252929Z" + } + }, "outputs": [], "source": [ "# Read geometry for Area of Interest from geojson file url\n", @@ -93,7 +123,14 @@ { "cell_type": "code", "execution_count": 4, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:38:02.255601Z", + "iopub.status.busy": "2024-08-16T20:38:02.255265Z", + "iopub.status.idle": "2024-08-16T20:38:04.272250Z", + "shell.execute_reply": "2024-08-16T20:38:04.271615Z" + } + }, "outputs": [ { "data": { @@ -107,7 +144,7 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -131,7 +168,14 @@ { "cell_type": "code", "execution_count": 5, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:38:04.274974Z", + "iopub.status.busy": "2024-08-16T20:38:04.274467Z", + "iopub.status.idle": "2024-08-16T20:38:04.889216Z", + "shell.execute_reply": "2024-08-16T20:38:04.888620Z" + } + }, "outputs": [], "source": [ "# Bounding box string for total extent\n", @@ -143,7 +187,14 @@ { "cell_type": "code", "execution_count": 6, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:38:04.892068Z", + "iopub.status.busy": "2024-08-16T20:38:04.891660Z", + "iopub.status.idle": "2024-08-16T20:38:04.895226Z", + "shell.execute_reply": "2024-08-16T20:38:04.894756Z" + } + }, "outputs": [], "source": [ "# Build query\n", @@ -182,7 +233,14 @@ { "cell_type": "code", "execution_count": 7, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:38:04.897574Z", + "iopub.status.busy": "2024-08-16T20:38:04.897199Z", + "iopub.status.idle": "2024-08-16T20:38:04.899889Z", + "shell.execute_reply": "2024-08-16T20:38:04.899367Z" + } + }, "outputs": [], "source": [ "import dataretrieval.wqp as wqp" @@ -191,13 +249,20 @@ { "cell_type": "code", "execution_count": 8, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:38:04.902104Z", + "iopub.status.busy": "2024-08-16T20:38:04.901736Z", + "iopub.status.idle": "2024-08-16T20:38:08.256312Z", + "shell.execute_reply": "2024-08-16T20:38:08.255708Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\dataretrieval\\wqp.py:83: DtypeWarning: Columns (8,10,13,15,17,19,20,21,22,23,28,31,32,33,34,36,38,60,62,63,64,65,66,67,68,69,70,71,72) have mixed types. Specify dtype option on import or set low_memory=False.\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/dataretrieval/wqp.py:83: DtypeWarning: Columns (8,10,13,15,17,19,20,21,22,23,28,31,32,33,34,36,38,60,63,64,65,66,67,68,69,70,71,72) have mixed types. Specify dtype option on import or set low_memory=False.\n", " df = pd.read_csv(StringIO(response.text), delimiter=',')\n" ] } @@ -212,7 +277,14 @@ { "cell_type": "code", "execution_count": 9, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:38:08.259089Z", + "iopub.status.busy": "2024-08-16T20:38:08.258673Z", + "iopub.status.idle": "2024-08-16T20:38:08.541121Z", + "shell.execute_reply": "2024-08-16T20:38:08.540427Z" + } + }, "outputs": [ { "data": { @@ -404,15 +476,15 @@ " ...\n", " \n", " \n", - " 405953\n", + " 416607\n", " USGS-MA\n", " USGS Massachusetts Water Science Center\n", - " nwisma.01.02400466\n", - " 2024-01-04\n", - " 10:00:00\n", + " nwisma.01.02400495\n", + " 2024-01-08\n", + " 12:00:00\n", " EST\n", - " USGS-01096548\n", - " NWIS-126738261\n", + " USGS-01098530\n", + " NWIS-126836828\n", " NaN\n", " NaN\n", " ...\n", @@ -428,15 +500,15 @@ " NWIS\n", " \n", " \n", - " 405954\n", + " 416608\n", " USGS-MA\n", " USGS Massachusetts Water Science Center\n", - " nwisma.01.02400495\n", - " 2024-01-08\n", - " 12:00:00\n", + " nwisma.01.02400639\n", + " 2024-02-12\n", + " 08:45:00\n", " EST\n", - " USGS-01098530\n", - " NWIS-126744182\n", + " USGS-01097050\n", + " NWIS-126989046\n", " NaN\n", " NaN\n", " ...\n", @@ -452,15 +524,15 @@ " NWIS\n", " \n", " \n", - " 405955\n", + " 416609\n", " USGS-MA\n", " USGS Massachusetts Water Science Center\n", - " nwisma.01.02400495\n", - " 2024-01-08\n", - " 12:00:00\n", + " nwisma.01.02400639\n", + " 2024-02-12\n", + " 08:45:00\n", " EST\n", - " USGS-01098530\n", - " NWIS-126744192\n", + " USGS-01097050\n", + " NWIS-126989056\n", " NaN\n", " NaN\n", " ...\n", @@ -476,15 +548,15 @@ " NWIS\n", " \n", " \n", - " 405956\n", + " 416610\n", " USGS-MA\n", " USGS Massachusetts Water Science Center\n", - " nwisma.01.02400495\n", - " 2024-01-08\n", - " 12:00:00\n", + " nwisma.01.02400639\n", + " 2024-02-12\n", + " 08:45:00\n", " EST\n", - " USGS-01098530\n", - " NWIS-126744199\n", + " USGS-01097050\n", + " NWIS-126989063\n", " NaN\n", " NaN\n", " ...\n", @@ -500,15 +572,15 @@ " NWIS\n", " \n", " \n", - " 405957\n", + " 416611\n", " USGS-MA\n", " USGS Massachusetts Water Science Center\n", - " nwisma.01.02400495\n", - " 2024-01-08\n", - " 12:00:00\n", + " nwisma.01.02400639\n", + " 2024-02-12\n", + " 08:45:00\n", " EST\n", - " USGS-01098530\n", - " NWIS-126744200\n", + " USGS-01097050\n", + " NWIS-126989064\n", " NaN\n", " NaN\n", " ...\n", @@ -525,7 +597,7 @@ " \n", " \n", "\n", - "

405958 rows × 78 columns

\n", + "

416612 rows × 78 columns

\n", "" ], "text/plain": [ @@ -536,11 +608,11 @@ "3 IRWA \n", "4 CRWA \n", "... ... \n", - "405953 USGS-MA \n", - "405954 USGS-MA \n", - "405955 USGS-MA \n", - "405956 USGS-MA \n", - "405957 USGS-MA \n", + "416607 USGS-MA \n", + "416608 USGS-MA \n", + "416609 USGS-MA \n", + "416610 USGS-MA \n", + "416611 USGS-MA \n", "\n", " OrganizationFormalName \\\n", "0 Charles River Watershed Association (Massachus... \n", @@ -549,11 +621,11 @@ "3 Ipswich River Watershed Association (Volunteer) \n", "4 Charles River Watershed Association (Massachus... \n", "... ... \n", - "405953 USGS Massachusetts Water Science Center \n", - "405954 USGS Massachusetts Water Science Center \n", - "405955 USGS Massachusetts Water Science Center \n", - "405956 USGS Massachusetts Water Science Center \n", - "405957 USGS Massachusetts Water Science Center \n", + "416607 USGS Massachusetts Water Science Center \n", + "416608 USGS Massachusetts Water Science Center \n", + "416609 USGS Massachusetts Water Science Center \n", + "416610 USGS Massachusetts Water Science Center \n", + "416611 USGS Massachusetts Water Science Center \n", "\n", " ActivityIdentifier ActivityStartDate \\\n", "0 CRWA-CYN20130809ROBTemp01 2013-08-09 \n", @@ -562,11 +634,11 @@ "3 IRWA-HB:20130630120000:FM 2013-06-30 \n", "4 CRWA-VMM20131217609SEC02 2013-12-17 \n", "... ... ... \n", - "405953 nwisma.01.02400466 2024-01-04 \n", - "405954 nwisma.01.02400495 2024-01-08 \n", - "405955 nwisma.01.02400495 2024-01-08 \n", - "405956 nwisma.01.02400495 2024-01-08 \n", - "405957 nwisma.01.02400495 2024-01-08 \n", + "416607 nwisma.01.02400495 2024-01-08 \n", + "416608 nwisma.01.02400639 2024-02-12 \n", + "416609 nwisma.01.02400639 2024-02-12 \n", + "416610 nwisma.01.02400639 2024-02-12 \n", + "416611 nwisma.01.02400639 2024-02-12 \n", "\n", " ActivityStartTime/Time ActivityStartTime/TimeZoneCode \\\n", "0 11:14:33 EST \n", @@ -575,11 +647,11 @@ "3 12:00:00 EDT \n", "4 07:40:00 EST \n", "... ... ... \n", - "405953 10:00:00 EST \n", - "405954 12:00:00 EST \n", - "405955 12:00:00 EST \n", - "405956 12:00:00 EST \n", - "405957 12:00:00 EST \n", + "416607 12:00:00 EST \n", + "416608 08:45:00 EST \n", + "416609 08:45:00 EST \n", + "416610 08:45:00 EST \n", + "416611 08:45:00 EST \n", "\n", " MonitoringLocationIdentifier ResultIdentifier DataLoggerLine \\\n", "0 CRWA-ROB STORET-591631481 130809111433.0 \n", @@ -588,11 +660,11 @@ "3 IRWA-HB STORET-853064665 NaN \n", "4 CRWA-609S STORET-872379847 NaN \n", "... ... ... ... \n", - "405953 USGS-01096548 NWIS-126738261 NaN \n", - "405954 USGS-01098530 NWIS-126744182 NaN \n", - "405955 USGS-01098530 NWIS-126744192 NaN \n", - "405956 USGS-01098530 NWIS-126744199 NaN \n", - "405957 USGS-01098530 NWIS-126744200 NaN \n", + "416607 USGS-01098530 NWIS-126836828 NaN \n", + "416608 USGS-01097050 NWIS-126989046 NaN \n", + "416609 USGS-01097050 NWIS-126989056 NaN \n", + "416610 USGS-01097050 NWIS-126989063 NaN \n", + "416611 USGS-01097050 NWIS-126989064 NaN \n", "\n", " ResultDetectionConditionText ... AnalysisEndTime/TimeZoneCode \\\n", "0 NaN ... NaN \n", @@ -601,11 +673,11 @@ "3 NaN ... NaN \n", "4 NaN ... NaN \n", "... ... ... ... \n", - "405953 NaN ... NaN \n", - "405954 NaN ... NaN \n", - "405955 NaN ... NaN \n", - "405956 NaN ... NaN \n", - "405957 NaN ... NaN \n", + "416607 NaN ... NaN \n", + "416608 NaN ... NaN \n", + "416609 NaN ... NaN \n", + "416610 NaN ... NaN \n", + "416611 NaN ... NaN \n", "\n", " ResultLaboratoryCommentCode ResultLaboratoryCommentText \\\n", "0 NaN NaN \n", @@ -614,11 +686,11 @@ "3 NaN NaN \n", "4 NaN NaN \n", "... ... ... \n", - "405953 NaN NaN \n", - "405954 NaN NaN \n", - "405955 NaN NaN \n", - "405956 NaN NaN \n", - "405957 NaN NaN \n", + "416607 NaN NaN \n", + "416608 NaN NaN \n", + "416609 NaN NaN \n", + "416610 NaN NaN \n", + "416611 NaN NaN \n", "\n", " ResultDetectionQuantitationLimitUrl \\\n", "0 NaN \n", @@ -627,11 +699,11 @@ "3 NaN \n", "4 NaN \n", "... ... \n", - "405953 NaN \n", - "405954 NaN \n", - "405955 NaN \n", - "405956 NaN \n", - "405957 NaN \n", + "416607 NaN \n", + "416608 NaN \n", + "416609 NaN \n", + "416610 NaN \n", + "416611 NaN \n", "\n", " LaboratoryAccreditationIndicator LaboratoryAccreditationAuthorityName \\\n", "0 NaN NaN \n", @@ -640,11 +712,11 @@ "3 NaN NaN \n", "4 NaN NaN \n", "... ... ... \n", - "405953 NaN NaN \n", - "405954 NaN NaN \n", - "405955 NaN NaN \n", - "405956 NaN NaN \n", - "405957 NaN NaN \n", + "416607 NaN NaN \n", + "416608 NaN NaN \n", + "416609 NaN NaN \n", + "416610 NaN NaN \n", + "416611 NaN NaN \n", "\n", " TaxonomistAccreditationIndicator TaxonomistAccreditationAuthorityName \\\n", "0 NaN NaN \n", @@ -653,11 +725,11 @@ "3 NaN NaN \n", "4 NaN NaN \n", "... ... ... \n", - "405953 NaN NaN \n", - "405954 NaN NaN \n", - "405955 NaN NaN \n", - "405956 NaN NaN \n", - "405957 NaN NaN \n", + "416607 NaN NaN \n", + "416608 NaN NaN \n", + "416609 NaN NaN \n", + "416610 NaN NaN \n", + "416611 NaN NaN \n", "\n", " LabSamplePreparationUrl ProviderName \n", "0 NaN STORET \n", @@ -666,13 +738,13 @@ "3 NaN STORET \n", "4 NaN STORET \n", "... ... ... \n", - "405953 NaN NWIS \n", - "405954 NaN NWIS \n", - "405955 NaN NWIS \n", - "405956 NaN NWIS \n", - "405957 NaN NWIS \n", + "416607 NaN NWIS \n", + "416608 NaN NWIS \n", + "416609 NaN NWIS \n", + "416610 NaN NWIS \n", + "416611 NaN NWIS \n", "\n", - "[405958 rows x 78 columns]" + "[416612 rows x 78 columns]" ] }, "execution_count": 9, @@ -696,7 +768,14 @@ { "cell_type": "code", "execution_count": 10, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:38:08.544333Z", + "iopub.status.busy": "2024-08-16T20:38:08.543685Z", + "iopub.status.idle": "2024-08-16T20:38:08.547378Z", + "shell.execute_reply": "2024-08-16T20:38:08.546812Z" + } + }, "outputs": [], "source": [ "from harmonize_wq import harmonize\n", @@ -707,69 +786,130 @@ { "cell_type": "code", "execution_count": 11, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:38:08.549683Z", + "iopub.status.busy": "2024-08-16T20:38:08.549487Z", + "iopub.status.idle": "2024-08-16T20:39:09.823815Z", + "shell.execute_reply": "2024-08-16T20:39:09.823185Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\wq_data.py:329: UserWarning: WARNING: 'ppb' UNDEFINED UNIT for Chlorophyll\n", - " warn(\"WARNING: \" + problem)\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\wq_data.py:329: UserWarning: WARNING: 'ug/m3' UNDEFINED UNIT for Chlorophyll\n", - " warn(\"WARNING: \" + problem)\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\wq_data.py:329: UserWarning: WARNING: 'ug/cm2' UNDEFINED UNIT for Chlorophyll\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'ug/cm2' UNDEFINED UNIT for Chlorophyll\n", " warn(\"WARNING: \" + problem)\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'count' converted to NaN\n", - " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\wq_data.py:329: UserWarning: WARNING: 'None' UNDEFINED UNIT for Secchi\n", - " warn(\"WARNING: \" + problem)\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n", - " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n", - " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n", - " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'count' converted to NaN\n", - " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: '%' converted to NaN\n", - " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'ppb' UNDEFINED UNIT for Chlorophyll\n", + " warn(\"WARNING: \" + problem)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'ug/m3' UNDEFINED UNIT for Chlorophyll\n", + " warn(\"WARNING: \" + problem)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'count' converted to NaN\n", + " warn(f\"WARNING: '{unit}' converted to NaN\")\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'None' UNDEFINED UNIT for Secchi\n", + " warn(\"WARNING: \" + problem)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'count' converted to NaN\n", + " warn(f\"WARNING: '{unit}' converted to NaN\")\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n", " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n", + " warn(f\"WARNING: '{unit}' converted to NaN\")\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: '%' converted to NaN\n", " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n", + " warn(f\"WARNING: '{unit}' converted to NaN\")\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n", " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\wq_data.py:329: UserWarning: WARNING: 'cm3/g' UNDEFINED UNIT for Nitrogen\n", - " warn(\"WARNING: \" + problem)\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\construction.py:616: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " data = np.array(data, copy=copy)\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\construction.py:616: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " data = np.array(data, copy=copy)\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n", + " warn(f\"WARNING: '{unit}' converted to NaN\")\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n", + " warn(f\"WARNING: '{unit}' converted to NaN\")\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'cm3/g' UNDEFINED UNIT for Nitrogen\n", + " warn(\"WARNING: \" + problem)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/pandas/core/construction.py:616: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", + " data = np.array(data, copy=copy)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/pandas/core/construction.py:616: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", + " data = np.array(data, copy=copy)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2 Phosphorus sample fractions not in frac_dict\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2 Phosphorus sample fractions not in frac_dict\n", "2 Phosphorus sample fractions not in frac_dict found in expected domains, mapped to \"Other_Phosphorus\"\n" ] }, @@ -777,26 +917,48 @@ "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\basis.py:171: UserWarning: Mismatched ResultTemperatureBasisText: updated from 25 deg C to @25C (units)\n", - " warn(f'Mismatched {flag}', UserWarning)\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'deg C' converted to NaN\n", - " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'g / H2O' converted to NaN\n", - " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'count' converted to NaN\n", - " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:391: UserWarning: Bad Turbidity unit: count\n", - " warn(f'Bad Turbidity unit: {unit}')\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'count' converted to NaN\n", - " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/basis.py:154: UserWarning: Mismatched ResultTemperatureBasisText: updated from 25 deg C to @25C (units)\n", + " warn(f\"Mismatched {flag}\", UserWarning)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'deg C' converted to NaN\n", + " warn(f\"WARNING: '{unit}' converted to NaN\")\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'g / H2O' converted to NaN\n", + " warn(f\"WARNING: '{unit}' converted to NaN\")\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'count' converted to NaN\n", + " warn(f\"WARNING: '{unit}' converted to NaN\")\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/harmonize.py:149: UserWarning: Bad Turbidity unit: count\n", + " warn(f\"Bad Turbidity unit: {unit}\")\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'count' converted to NaN\n", + " warn(f\"WARNING: '{unit}' converted to NaN\")\n" ] }, { @@ -989,15 +1151,15 @@ " ...\n", " \n", " \n", - " 405953\n", + " 416607\n", " USGS-MA\n", " USGS Massachusetts Water Science Center\n", - " nwisma.01.02400466\n", - " 2024-01-04\n", - " 10:00:00\n", + " nwisma.01.02400495\n", + " 2024-01-08\n", + " 12:00:00\n", " EST\n", - " USGS-01096548\n", - " NWIS-126738261\n", + " USGS-01098530\n", + " NWIS-126836828\n", " NaN\n", " NaN\n", " ...\n", @@ -1009,19 +1171,19 @@ " NaN\n", " NaN\n", " NaN\n", - " 2.1 Nephelometric_Turbidity_Units\n", + " 2.9 Nephelometric_Turbidity_Units\n", " NaN\n", " \n", " \n", - " 405954\n", + " 416608\n", " USGS-MA\n", " USGS Massachusetts Water Science Center\n", - " nwisma.01.02400495\n", - " 2024-01-08\n", - " 12:00:00\n", + " nwisma.01.02400639\n", + " 2024-02-12\n", + " 08:45:00\n", " EST\n", - " USGS-01098530\n", - " NWIS-126744182\n", + " USGS-01097050\n", + " NWIS-126989046\n", " NaN\n", " NaN\n", " ...\n", @@ -1032,20 +1194,20 @@ " NaN\n", " NaN\n", " NaN\n", - " 1.5 degree_Celsius\n", + " 3.9 degree_Celsius\n", " NaN\n", " NaN\n", " \n", " \n", - " 405955\n", + " 416609\n", " USGS-MA\n", " USGS Massachusetts Water Science Center\n", - " nwisma.01.02400495\n", - " 2024-01-08\n", - " 12:00:00\n", + " nwisma.01.02400639\n", + " 2024-02-12\n", + " 08:45:00\n", " EST\n", - " USGS-01098530\n", - " NWIS-126744192\n", + " USGS-01097050\n", + " NWIS-126989056\n", " NaN\n", " NaN\n", " ...\n", @@ -1058,18 +1220,18 @@ " NaN\n", " NaN\n", " NaN\n", - " 7.5 dimensionless\n", + " 7.4 dimensionless\n", " \n", " \n", - " 405956\n", + " 416610\n", " USGS-MA\n", " USGS Massachusetts Water Science Center\n", - " nwisma.01.02400495\n", - " 2024-01-08\n", - " 12:00:00\n", + " nwisma.01.02400639\n", + " 2024-02-12\n", + " 08:45:00\n", " EST\n", - " USGS-01098530\n", - " NWIS-126744199\n", + " USGS-01097050\n", + " NWIS-126989063\n", " NaN\n", " NaN\n", " ...\n", @@ -1085,15 +1247,15 @@ " NaN\n", " \n", " \n", - " 405957\n", + " 416611\n", " USGS-MA\n", " USGS Massachusetts Water Science Center\n", - " nwisma.01.02400495\n", - " 2024-01-08\n", - " 12:00:00\n", + " nwisma.01.02400639\n", + " 2024-02-12\n", + " 08:45:00\n", " EST\n", - " USGS-01098530\n", - " NWIS-126744200\n", + " USGS-01097050\n", + " NWIS-126989064\n", " NaN\n", " NaN\n", " ...\n", @@ -1105,12 +1267,12 @@ " NaN\n", " NaN\n", " NaN\n", - " 2.9 Nephelometric_Turbidity_Units\n", + " 2.7 Nephelometric_Turbidity_Units\n", " NaN\n", " \n", " \n", "\n", - "

405958 rows × 98 columns

\n", + "

416612 rows × 98 columns

\n", "" ], "text/plain": [ @@ -1121,11 +1283,11 @@ "3 IRWA \n", "4 CRWA \n", "... ... \n", - "405953 USGS-MA \n", - "405954 USGS-MA \n", - "405955 USGS-MA \n", - "405956 USGS-MA \n", - "405957 USGS-MA \n", + "416607 USGS-MA \n", + "416608 USGS-MA \n", + "416609 USGS-MA \n", + "416610 USGS-MA \n", + "416611 USGS-MA \n", "\n", " OrganizationFormalName \\\n", "0 Charles River Watershed Association (Massachus... \n", @@ -1134,11 +1296,11 @@ "3 Ipswich River Watershed Association (Volunteer) \n", "4 Charles River Watershed Association (Massachus... \n", "... ... \n", - "405953 USGS Massachusetts Water Science Center \n", - "405954 USGS Massachusetts Water Science Center \n", - "405955 USGS Massachusetts Water Science Center \n", - "405956 USGS Massachusetts Water Science Center \n", - "405957 USGS Massachusetts Water Science Center \n", + "416607 USGS Massachusetts Water Science Center \n", + "416608 USGS Massachusetts Water Science Center \n", + "416609 USGS Massachusetts Water Science Center \n", + "416610 USGS Massachusetts Water Science Center \n", + "416611 USGS Massachusetts Water Science Center \n", "\n", " ActivityIdentifier ActivityStartDate \\\n", "0 CRWA-CYN20130809ROBTemp01 2013-08-09 \n", @@ -1147,11 +1309,11 @@ "3 IRWA-HB:20130630120000:FM 2013-06-30 \n", "4 CRWA-VMM20131217609SEC02 2013-12-17 \n", "... ... ... \n", - "405953 nwisma.01.02400466 2024-01-04 \n", - "405954 nwisma.01.02400495 2024-01-08 \n", - "405955 nwisma.01.02400495 2024-01-08 \n", - "405956 nwisma.01.02400495 2024-01-08 \n", - "405957 nwisma.01.02400495 2024-01-08 \n", + "416607 nwisma.01.02400495 2024-01-08 \n", + "416608 nwisma.01.02400639 2024-02-12 \n", + "416609 nwisma.01.02400639 2024-02-12 \n", + "416610 nwisma.01.02400639 2024-02-12 \n", + "416611 nwisma.01.02400639 2024-02-12 \n", "\n", " ActivityStartTime/Time ActivityStartTime/TimeZoneCode \\\n", "0 11:14:33 EST \n", @@ -1160,11 +1322,11 @@ "3 12:00:00 EDT \n", "4 07:40:00 EST \n", "... ... ... \n", - "405953 10:00:00 EST \n", - "405954 12:00:00 EST \n", - "405955 12:00:00 EST \n", - "405956 12:00:00 EST \n", - "405957 12:00:00 EST \n", + "416607 12:00:00 EST \n", + "416608 08:45:00 EST \n", + "416609 08:45:00 EST \n", + "416610 08:45:00 EST \n", + "416611 08:45:00 EST \n", "\n", " MonitoringLocationIdentifier ResultIdentifier DataLoggerLine \\\n", "0 CRWA-ROB STORET-591631481 130809111433.0 \n", @@ -1173,11 +1335,11 @@ "3 IRWA-HB STORET-853064665 NaN \n", "4 CRWA-609S STORET-872379847 NaN \n", "... ... ... ... \n", - "405953 USGS-01096548 NWIS-126738261 NaN \n", - "405954 USGS-01098530 NWIS-126744182 NaN \n", - "405955 USGS-01098530 NWIS-126744192 NaN \n", - "405956 USGS-01098530 NWIS-126744199 NaN \n", - "405957 USGS-01098530 NWIS-126744200 NaN \n", + "416607 USGS-01098530 NWIS-126836828 NaN \n", + "416608 USGS-01097050 NWIS-126989046 NaN \n", + "416609 USGS-01097050 NWIS-126989056 NaN \n", + "416610 USGS-01097050 NWIS-126989063 NaN \n", + "416611 USGS-01097050 NWIS-126989064 NaN \n", "\n", " ResultDetectionConditionText ... Carbon Phosphorus TP_Phosphorus \\\n", "0 NaN ... NaN NaN NaN \n", @@ -1186,11 +1348,11 @@ "3 NaN ... NaN NaN NaN \n", "4 NaN ... NaN NaN NaN \n", "... ... ... ... ... ... \n", - "405953 NaN ... NaN NaN NaN \n", - "405954 NaN ... NaN NaN NaN \n", - "405955 NaN ... NaN NaN NaN \n", - "405956 NaN ... NaN NaN NaN \n", - "405957 NaN ... NaN NaN NaN \n", + "416607 NaN ... NaN NaN NaN \n", + "416608 NaN ... NaN NaN NaN \n", + "416609 NaN ... NaN NaN NaN \n", + "416610 NaN ... NaN NaN NaN \n", + "416611 NaN ... NaN NaN NaN \n", "\n", " TDP_Phosphorus Other_Phosphorus Salinity Sediment \\\n", "0 NaN NaN NaN NaN \n", @@ -1199,11 +1361,11 @@ "3 NaN NaN NaN NaN \n", "4 NaN NaN NaN NaN \n", "... ... ... ... ... \n", - "405953 NaN NaN NaN NaN \n", - "405954 NaN NaN NaN NaN \n", - "405955 NaN NaN NaN NaN \n", - "405956 NaN NaN NaN NaN \n", - "405957 NaN NaN NaN NaN \n", + "416607 NaN NaN NaN NaN \n", + "416608 NaN NaN NaN NaN \n", + "416609 NaN NaN NaN NaN \n", + "416610 NaN NaN NaN NaN \n", + "416611 NaN NaN NaN NaN \n", "\n", " Temperature Turbidity \\\n", "0 23.01 degree_Celsius NaN \n", @@ -1212,11 +1374,11 @@ "3 NaN NaN \n", "4 NaN NaN \n", "... ... ... \n", - "405953 NaN 2.1 Nephelometric_Turbidity_Units \n", - "405954 1.5 degree_Celsius NaN \n", - "405955 NaN NaN \n", - "405956 NaN NaN \n", - "405957 NaN 2.9 Nephelometric_Turbidity_Units \n", + "416607 NaN 2.9 Nephelometric_Turbidity_Units \n", + "416608 3.9 degree_Celsius NaN \n", + "416609 NaN NaN \n", + "416610 NaN NaN \n", + "416611 NaN 2.7 Nephelometric_Turbidity_Units \n", "\n", " pH \n", "0 NaN \n", @@ -1225,13 +1387,13 @@ "3 NaN \n", "4 NaN \n", "... ... \n", - "405953 NaN \n", - "405954 NaN \n", - "405955 7.5 dimensionless \n", - "405956 NaN \n", - "405957 NaN \n", + "416607 NaN \n", + "416608 NaN \n", + "416609 7.4 dimensionless \n", + "416610 NaN \n", + "416611 NaN \n", "\n", - "[405958 rows x 98 columns]" + "[416612 rows x 98 columns]" ] }, "execution_count": 11, @@ -1250,7 +1412,14 @@ { "cell_type": "code", "execution_count": 12, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:39:09.826217Z", + "iopub.status.busy": "2024-08-16T20:39:09.825829Z", + "iopub.status.idle": "2024-08-16T20:39:11.516599Z", + "shell.execute_reply": "2024-08-16T20:39:11.516008Z" + } + }, "outputs": [], "source": [ "# Get harmonized stations clipped to the Area of Interest\n", @@ -1260,7 +1429,14 @@ { "cell_type": "code", "execution_count": 13, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:39:11.519145Z", + "iopub.status.busy": "2024-08-16T20:39:11.518944Z", + "iopub.status.idle": "2024-08-16T20:39:12.252708Z", + "shell.execute_reply": "2024-08-16T20:39:12.252136Z" + } + }, "outputs": [ { "data": { @@ -1274,7 +1450,7 @@ }, { "data": { - "image/png": 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LycvL47nnnmv0PosXL+aJJ55o8eN2F0adzAPj4kgMvpyXjQZSN+zEarE6zwf4exMe4o+Xp5FhAxK4Z+bFxIf7Ej1pIeWmmkbvGejnxXMPX99uddTIEk/fMIB57+5E4tTkpOrsTOoKT3bbuzSBVVAdQfWJTwO5dngURn37rCMVBEForVat4zxx4gTDhw9n9erVzrHNCRMmMHjwYJ5//nmXsiaTiUsvvZTAwEC+++47dDpdix6jb9++XHrppbz00ktNlnv33Xe56667qKqqwmAwNDhvNpsxm80u9YmJibmg1nRZ7Qo5pdVs23UUa52ZoJAgYqLDkCQJfw8tob56dFpHp4PNZmP6XS+z+fd0Z8ySJBg3rDffvvxnjIaW/f5aY/2hIv7ftwc4nF8FQOHWdSh1dTSV1NYrNoH3Hr+JPwyJbPf6CN2LWMcpdJRWBc5vvvmGa665Bo3m1Kd9u92OJEnIsozZbEaj0VBZWcm0adPw9PTkhx9+wGg0tuj+Gzdu5JJLLmHXrl0MGjSoybL79+8nOTmZQ4cO0adPn2bvLV5ELaOqKsdzirHZFeIig9HpOrZlp6oqaXmVlFRZuHTmE81OatL5+vPcE7dz54TWp/sTLiziNS90lFZ11U6ePJm9e/e6HJszZw59+/blkUceQaPRYDKZmDZtGgaDge+++67FQRPgnXfeYdiwYc0GTYBdu3YhyzKhoaGteQrdntWuUGiyUG22I0sSAV5aAr10LV6eIkkS8dEhHVxL18frG9mKNzVJItS3YQ+DIAjCudKqwOnj40NycrLLMS8vL4KCgkhOTsZkMjF16lRqamr48MMPXSblhISEOFuqffv2ZfHixVxzzTXO+5hMJj7//HP+85//NHjcLVu2sG3bNiZOnIiPjw9btmzhgQce4JZbbiEgIKDVT7q7sdsVftq4j3U7j1JZZ2fowAQGJjnWvRZVWjDqZJIivTB2cOvxbEWF+pFdUN5kGY/AIKb0b9mOLIIgCB2hXbcVS01NZdu2bQD06tXL5VxGRgbx8fEApKWlNUiKsHz5clRVZdasWQ3uazAYWL58OY8//jhms5kePXrwwAMP8OCDD7Zn9c9Luw6d4Ib73yS7oAzNyXWO//tyHb3iI3j6kdmEBvtTZ1U4mFvNoFgf5C66N5fZZqff6BFkf7vafSFZZsGNF+NpELvhCYLQeUSS9/NYdkEZw6//f1TV1GE/Iz2dRpYJD/Xn7aX3YDg5sad3uCdB3vrOqGqz5r+fyordeVTlZGE6vB9HLqTTNw6VuWjsEN5++Ap6RAe7XFtntrJu+2EqqmrpFRvC0H6x7Z45STj/dMfXvNA1iI/u57HXlq+nqsbcIGgC2BWFnPxSft28l+kThwJQWm3tkoFzd1Y5P+1yLEPxjIxF5xdAbU4WlopSkGQMAcFIWi2bN6bQb2MKk0b14eVHZxEfFcRLH/3K/3vjZyqqap33698rgr/edRWSty86jcy4viGE+DjGRa12hfJqC14GrWi5CoLQJuKd4zz26c87sSuK2/OSJPHrb3ucgbOJop3q25QctLKE7eQHAJ2XD7rerkkZVLudqgxHYvj1O48w/tb/MPsPI3n+gzUN7rf/aD5zHnmToCGj0fn4oZEl/jAkAh+Dli93ZFNrVZAkmNQvlHunJjIw1r/Dn6MgCN2HSP55HqusqmvyvKqqVNWcKuNl6JqTg0qrLI22mk8naTRIJyeX2e0KpeVVvPC/tY0XVlVQVCpPBlq7ovJtSi4fbs6i1qo4i/x6oJDrXtzMhkNF7fdkBEHo9kSL8zyWGB/G7wez3G6/pZFl4qJOLdcJ9e163bQAxzJyUBQVSXb/OU6xWVHtduf3zQVaULGUFmO3mNHoG1++oqig2FXu//B3Hr0qie9S8yiuMhMb6MlNY2IZ1zsYWRZjpYIguBItzvPYXTeOa3LPSruiMGPKcAASQj3Qa7verzv1QBZrV2xsMmiqqkJtXnab7q9YzM2WKau28peP97AxrYj92SZW7Svgtje28+f3UrDau2j/tiAInabrvZMKLTbzshFMGdO3wRKT+u+umT6aiwb3pF+kV5dNGvCXf32Ovbaa6hMZjZ5XFQXFYqE661ib7i+7aW02pv4zSH1rdvXeAp745gA1FnsTVwmCcKERXbXnMZ1Ow5cv3M2/31nJa8s3UFpRDUBMRCD3/nEyd904rkvvYVlntrJ9byYAlUcPoVgseMX2QNY5upRVVcVcWoTpyAEUq+senhpZQlFpIkWfhD4wyG03bUuowPLNWZQgMSrOn6v7h+Lv0f45ewVBOL+IdZzdhNVqJzO3GK1GQ1xkIHITXZ9dRVFpJbGTF7oelGR0vv5IsoytpgrF3HAClEaW8DDque3qMbz88brGby7LBA0Zg87n7H/XowdGEBzggY9By8MT4kXwPE9099e80HlEi7Ob0Ok0JMadX6no/H088TDoqDWf2vYMVcFaUdrkdf16RfLBkttJjAslMiyAxW/97DLDWOvlg2+f5HYJmuBoeSoqVJpt/HCgiFuGiZ1ZBOFCJgKn0Gl0Og1/unoMb362scldUS75w3hmj4xFsdkZP7IvEWEBKCr8dKiYE/7RXHPvreRl5GA1WwgI8iO7Ek6c3KrsbEkS+Ho5uo4VFXZkm7h+UDjGLjjRShCEc0METqFTPXLHNL5ds4uCkspGg2ev5F68/sAfiA/wwKo4glet1c7/UrJJK3JsvK3VaolJjANAliAISIwNZO+RIorKahvc80yydGpi0Jmiw3xctlazKSqmOhvGLpiBSRCEc0N8bBY6VUSIHxv+9xBXTBjgctzDw8Bdcy5j2zsL6BHogaI6gtaKQ0UsWnnYGTTPVB8Ah8f5c/fU3jS3DFOnkQjxMTRazs/HQFLPoAbHRWtTEC5sosUpdLqY8AA+fW4euYXlHDleiIdRz9CkGLRa15beDwcKWX+s6fFPcATPtKJq/nNFH45mlbF8a1ajLUpJgtkXxXHftEQ+3pLF8q0nyK+ow8OgJTbCl6hwbzSnTbKSgIQgT3yN4mUjCBcy8Q4gdBmRof5Ehvo3OK6oKkdLatnQgqBZz6qo1FrtPHZNP3LLa1l3sAiNLGFXVOe/U/qH8bcr+2LQavi/Kb34vym9eG9HDjuzTbgbcZ2RFOzmjCAIFwoROIUu72BBNSk5plZdo5UldBqZvfmVXDYqhj6xARzJqaDObCPC34PrR0YzKiGwwfZjs4dGIMsS27IqkHCMf9pVR/fsH4dF0DvEqx2fmSAI5yOxjlPo8t7cmk1BlZmiKgv2Fvy1yhL0C/XieHkdlWa7c/xSUSHUW8//jYkhpJnJPcXVFnblVlJnUwj11jM40gd9F04mITQkXvNCRxEtTqHLK66xUFhlcTvz9XSS5Jjwc7i4BuvJKHv6dcXVFl7YdJxHpyQ0Ockn2EvPlMSGE4MEQRDER2ihy/MxaFsUNAGi/YwMifTFpqiNjlMqKpTV2thxoqJd6ygIwoVDBE6hyxsZ49dsGVmCuSOj+NvEHqQVVTcbaDceK+NAQRW1VpHAXRCE1hFdtUKXNzTKh1+OGMivNDcaEDUS3DcujoQgTwDMtlNbgSmqSn5RNVl5JiorqqnKyUKtqcTLQ8vvlwwnMjac8T0DubJ/KFqx96YgCC0gAqfQ5ek0MvddHMt7O3M5WFjtci7KV89dY2IJ8jyVeD3cx0BGaS02u8LOffmUVNRRnXWMyozDoKogSZSrKjnpxwkIC8J85w0UV1uYOyq6wSxbQRCEM4nAKZwXvA1aFoyNJb/SzOGTXbE9gzyI9fdoUHZ8QgDHSmtJyyylpKKOmtwsKo+lnSpw2kTysoISflz2FZo7b+BIcY1YbiIIQrNE4BTOK+E+BsJ9mt5jc2iUL5uOlbFiUyWqolCVeaTJ8sW5hZQXl/Fbho8InIIgNEtMDhK6HVmS8NGAoqhYTeUoFkuz1+zd/Du5lc2XEwRBEIFTOK9Um21kFFVTUmVuspxzDafd1qL7WurMeOjEy0EQhOaJrlrhvHAwx8Rd7+7kROmpbcKiAz3498xBjGkkUcGQuAA0soTWo2Vdr4FhQYyND2i3+gqC0H2Jj9hCl6WqKjW1Zr5LzeYvn+3l8uHR3DejLxOTw5AkyC6t5eZXt/LT7twG1w6P8SMh2g+tpxc6vwAce5u4IUlEJ/djRIxIyyYIQvNEi1NoV2arnedWH+FIYRVaWWLWiGgmJoW16h4ZOcXc/vf32bYnA51Oy78euoHP/m8MGllCVUGWJfIr6njwwxR+zyznvg92MflfYRhO24ZMI0s8c30yf353J9be/SlN3YJqV6CRfEIDxw2nsqIOWSxFEQShBUSLU2g3L/2SzvyvDpJtVjH4eGL09eTLQ6Xc8l4KeWXVzd8AOHA0l+Qrn2DrngxU4JVFt/DHq8ag1chIkoR8MklBiI+eZXeNJiHU27FXZ2rjrc737hpJcGgQAYNHow903RJMb9TTa/QIyvWhjO4ZeNbPXxCEC4NocQrt4uOtx9lfYcbHqGVCryAuig/Ax6DFrqjsyjXx3w1Z/LwlC0VViQv2ZO4lsUzsF4pRryM7v4yCSjMr9+eyaXcmET1iyDmaRXJiFNdPG97o42lkGVVVuPeyPtz3fgrr04q4bmRMg3L9w314+rr+3PPB7wQOHI6trgZbVSUaoyc6bx+qAMmucNu4+I79AQmC0G2IwCm0i692FxAb7stfJvYk0EPnzMCjkSUGR/oyMMKH6twcvtqUQbU5gvv+9ztle1OgtoqLr5xEj369QOtDn2HJ9B0+gLLiCsb4q1htdnSndcGeTquRmdQvFJ1GxtDEll8zBkew4VARn2/PRmf0RGt0pOaTJUfS96euSyYuWKzfFAShZUTgFM5aYUUtUeE+PDIpAT8PXYPzGllCUuDxP02A0Agy0zLY/ONv2GrquPqO6wiIDEOSJBRVJTPHRGZuBXVmO3+4YaBjn7AmaGUZL4OGOycmuC0jSRL/mjmQ0b2CWLYhg/3ZJmRZYlyfYOZN7MmYxGC31wqCIJxJBE7hrOWU13HL0Ch8je7/nGRZwsegZWCUH8gJBIQFkbvrAL+t2ISqQkSPaGo9Q6iyngqUuWU1zcVN6qx2qqrq6BPh02Q5SZK4dkQ0146IRlFUJAmRl1YQhDYRgVM4az2DvdDrdc0GIpuiEulr5Ns1v7Puq9WoqurMG1ucWwCyTED/oRiCQgD4ZmcO86f2dn8/u8LXO09wbc/Gu3LdkcUuKIIgnAUxq1Y4a14e+haVkyXIPFHAui9XoSqKS7J1ABSFsn2p2OscSQ5yy2t5/Zf0Ru9lsyuU1Vh57t1VPPSn8WdVf0EQhNYQgVNoF83sGw04csgu/+a3psuqCkVb11G2NwWbuY6XVh3mqa/3UVxZ5yyiKArr9mRxzd+X89HfLic4wPtsqy8IgtBioqtWOGuyRLPJA1RVJb24hkMHjjVsaTbCXFKIeWsRQcMu4uPNx/l0axb9o/wwaiWO5paRt/d3Mr9ZiE7Xum5aQRCEsyVanMJZkwBUFbviPiBWmW28tzMbRVFafmNVpXTXdtST995zopztGWWUmCGpT7wImoIgdAoROIWzJkmg10rOAFdPVVVUVaWk2sK/1h2jzqYQHBXe7BKT06k2K+bSYtdjikJobMNkB4IgCOeC6KoV2oUsgZdexmJTMNXaMOo1lFTWsSWzlB251ZjtjpbmwIsGk512rFX3NhflYTw50xYASSI0SCRkFwShc5xV4FyyZAkLFy7kvvvu4/nnn6e0tJRFixaxatUqsrKyCAkJ4eqrr+app57Cz8/P7X1uu+023n//fZdj06ZNY8WKFc7vS0tLueeee/j++++RZZnrrruOF154AW9vMTGkq5AkMOhk7NUWBv1tFSpQcXg/N00bQGRSb/KrLITHRNBn9DDStqa05s5nPI7EELEFmNBO7HY7Vqu1s6shdDKdTodG07LhnzYHzh07dvDGG28wcOBA57Hc3Fxyc3NZunQp/fr14/jx49x9993k5ubyxRdfNHm/6dOns2zZMuf3BoPB5fzs2bPJy8tj9erVWK1W5syZw7x58/j444/b+hSEDhLub2TqgDBW7smnriiPqtxQ7rx1MkcLqlFUlZv7X8W/Pw/j1zXbsJaVNHs/Q2jEqW9UFU+DlmuGR3XgMxAuBKqqkp+fT3l5eWdXRegi/P39CQ8Pb3ZNepsCZ1VVFbNnz+att97i6aefdh5PTk7myy+/dH6fkJDAM888wy233ILNZkOrdf9wBoOB8PDwRs8dPHiQFStWsGPHDoYPdyT9fumll7j88stZunQpkZGRbXkaQgd66oYBbD2UR77Vyqrf9vOCBvRa2TkG+rebLuLOy4cy+57/Yq12v3OKrNNjCHBsVK0qClqtzGtzhuHbSGo/QWiN+qAZGhqKp6enyCR1AVNVlZqaGgoLCwGIiIhosnybAuf8+fOZMWMGU6ZMcQmcjamoqMDX17fJoAmwbt06QkNDCQgIYNKkSTz99NMEBTneMLds2YK/v78zaAJMmTIFWZbZtm0b11xzTYP7mc1mzGaz83uTydSapyicpRAfA2/MGcqE1SsxVdXy6kdruWPmJDKLapxlgn2MzJt3I6+++D9Uu63hTWSZgMGjUO02FEUhkDqWPzyDvlHuu/0FoSXsdrszaNa/zwgXNg8PDwAKCwsJDQ1tstu21bNqly9fTmpqKosXL262bHFxMU899RTz5s1rstz06dP54IMPWLNmDf/6179Yv349l112GXa7HXB8MgwNDXW5RqvVEhgYSH5+fqP3XLx4MX5+fs6vmBgxC/NcG5UUhVdgACDx/974kQ+/3kjPEE889af+IK8YGc+wP1yOZ0w8kk4HkoSk1eIREUPI6IlYSgsp3PQLV0da2Lz0ehE0hXZRP6bp6enZyTURupL6v4fmxrxb1eI8ceIE9913H6tXr8ZoNDZZ1mQyMWPGDPr168fjjz/eZNmZM2c6/z9gwAAGDhxIQkIC69atY/Lkya2potPChQt58MEHXeojgue5t/SeGfz5yY9QVZXHXvia1z/5lWunDiMqLIDiihq+WLubrOOFeMf3JGTUBOSTPRP2ulqqMo9gL8ph8ycPM6RvbCc/E6E7Et2zwula+vfQqsCZkpJCYWEhQ4cOdR6z2+1s2LCBl19+GbPZjEajobKykunTp+Pj48PXX3+NTte68aiePXsSHBxMeno6kydPJjw83Nn3XM9ms1FaWup2XNRgMDSYYCSce7ddPZrCYhOPv/YDqqKQW1TByx+ucZyUJGcWocqjaVRmHEHr4YmqqKh2K3ddP5anF9yPZwtz4QpCZ1BVsJ+W+0MjtWqpsnAealXgnDx5Mnv37nU5NmfOHPr27csjjzyCRqPBZDIxbdo0DAYD3333XbMt08ZkZ2dTUlLiHKAdM2YM5eXlpKSkMGzYMADWrl2LoiiMGjWq1fcXWs9ut/P6in3szy5DK0vMnZLEgB6hzV8IPHznVO794wQeevZLvlu3l6LyalS7vdEk77bqKiStlm/ffJBLh4hWptB1KSrYFMe/p7PhWNeslR3/Ct1Pq8Y4fXx8SE5Odvny8vIiKCiI5ORkTCYTU6dOpbq6mnfeeQeTyUR+fj75+fnO8UqAvn378vXXXwOOGboPPfQQW7duJTMzkzVr1nDVVVfRq1cvpk2bBkBSUhLTp09n7ty5bN++nd9++40FCxYwc+ZMMaO2g6mqylsr93PH/1I4YNEjhYZhDw7ltdRi/vTmFk4UVaKqKr8fL+GRZRv5vxd+5u0ffm+QWs9o0PPSo7M4/sv/Y+K4wU0+ZkJSogiaQpdmV8Bibxg06ymq47y9FRkmz7V7772XYcOGYTAYGDx4cKfVIzMzkzvuuIMePXrg4eFBQkICixYtwmKxdFqdmtOumYNSU1PZtm0bAL169XI5l5GRQXx8PABpaWlUVFQAoNFo2LNnD++//z7l5eVERkYydepUnnrqKZeu1o8++ogFCxYwefJkZwKEF198sT2rLzTikw1H2Fmh4OnrjdViJWP/EcoKS9HqtMT26cFfvjmIXlZRVBVPb18M/sF8fyiLp976F0/cfRm3XTa4wT1/eO42xt9Vx87fD6PaTg3CS1odCYlx7Hy76clkgtCZFBWsLQyIVsXRbdtVW563334727ZtY8+ePZ1Wh0OHDqEoCm+88Qa9evVi3759zJ07l+rqapYuXdpp9WqKpKot2KqiGzCZTPj5+TmXxwjNq7PaufvdzXgGB3LiyHHWf70aq8WKLMuoqET3TqCq2kxZdraj21WSCYyLZeTkkQQH+fLdu1/x2j9nce0lSY3ef++RHB5+eQU5xZUE+3nx1F1TGDuoxzl+lkJ31dRrvq6ujoyMDHr06NHq4aSmWpqNkSXQd+H9CB5//HG++eYbdu3a1dlVcXr22Wd57bXXOHasdek5z1ZL/y5ErlrBrcO5JjxDgijKKWDNZz9T/xlLURSMoRFkH85wbEhdv8OmqlB6/DgrP8hhyqyrGDFpNA89943bwDkgMYqfX7jjHD0bQTh7qtq6oAmO8qoqJgy1RkVFBYGBgZ1dDbfE7iiCW7ll1UiSxO6NrnllveISsFaZUBU7DbawVlVUq42NP64jpnccNdXVHM0pPXeVFoQOZG9j/1xrg+2FLD09nZdeeom77rqrs6vilgicgluRgV5YzRZOpGc6W5s6X38MgSHYa9ynyQOVupJisk8Uce3/zeb1lEJ+TS9FuTBGBQShAfGX3zI5OTlMnz6dG264gblz53Z2ddwSgVNwK9Rbj91icXnVe0bGYquubNH1RXmOBO41dpUv9hawbEeOCJ7CBUn00jYvNzeXiRMnctFFF/Hmm292dnWaJAKn4NZj3+1F7+WJwePU7Gadrz+SpmVD43qDa+KL1JxKfs9pWdAVhK5I08YI2FVn1XYVOTk5TJgwgWHDhrFs2TJkuWuHJjE56AK0bnsa/3j+G/an56GikhgXyhMLrmTG+AHOMimHctD6+iJJEn2GJbP3t1RUVUVv0CHrgl2y/jRG0urolRTnegxYf6yUYdFiVrNwfqpfWtLaWbVdcWJQeno6VVVV5OfnU1tb65xV269fP/T6c5etqz5oxsXFsXTpUoqKipzn3GWG62wicF4Ayitr+PiH7ezYd5w9adkcOJrncn5/eh7X3/8Gt141htcfnw3A56nZSB6OADdo7FBOHM6krLAEP6NMmVWLZ1QcNdmZbh8zdmB/PIyuLz4VyDOZG79AEM4TWtmxJKU15buiO++8k/Xr1zu/HzJkCOC65l6SJJYtW8Ztt93WYfVYvXo16enppKenEx0d7XKuq66WFIGzm1u5aT83P/QOtWYLEk1/Un7/2y1MHt2HG6YPx3za9EGdQc+M264h5ddt+GismOw6fHr2QbXbqM3LBiRHc/LkH3lonz5MuHxMo4+h13TRdxFBaCFZAp3csiQIui6cdm/dunVNns/IyECr1TJ27NgOrcdtt93WoYG5I4jA2Y0dPJrHDQ+8ic2uoKotm9n35Gs/csP04UT7Gjh22huDwWjgtj9dxoBgI/7eHhzOqeCrHSFs3nuc2oJcFIsFjdHIkNEDSExsfBNYWUJ00wrdgkZ2dL82lqsWukeu2p9++ol58+aRmJjY2VXpckTg7MZe/Ggtqqo22t0RFR5EfEwoZrOVPYcysVgcG0kfO1EMwN2XJvGXn9KRZRm9VmbO8Gj6hHpjV1Q0skTvUG+uGhbNhsMJPPXtAXx9DUSF+qBz0y8lAVpZYnzPgA57voJwLtVnBKpPiqDi+DvvqmOarTV//vzOrkKXJQJnN/btmt3YzsgyHRkeyIPzrmLogATnsarqOpZ/u5FPvtmAoqoczy0hLjKIAV4q+2vh2uQwEkO8ANCc/Ahd/+/FicH849pkvttfgCRJqKrqsqedhOMNxVOv4e7R0QR5iS3ChO5Fkto+21Y4P4nA2Y2ZT7Yi64UE+fHy03fh7e2ag9Hby8idN1+Kn68nr73/M0kzFnHvHyfx/+6/mse+3MOwaH9kNx+hZUniorgA3l2fQZGplkA/D3w9dcQGehIb5IGnXkNCoCdDonzQifFNQRC6ARE4u7EBvaPYsS8T5eQgzOxrx+PtbUSraTzj9A1/GMu3K7eRm1/KC/9by0sf/crdN09BIw9u8nH0WpklVyehqioGnUxUgEeLd1IXBEE434gmQDf255njnUFTo5GZNn6I26AJYLPbmTp+iPN7RVEpKa1o0WPFBnmSEOZNdKCnCJqCIHRrInB2YzdMG8rMy4YD4OVpxHBGJp8GVAgJdJ31uutgVrOPoyjKeT17UBAEoTVE4OzGZFnmnaf/xIv/uInaWjNWq63pCyQoq6hyOZSWkc+mlMPYbI2v+LbZ7Py4bg+K0oW3uhcEQWhHInB2c7IsM/f6cfzjrstYs2kPNrv7lCdajYbVG3Y1OP7nRf+joMSE/bQZuqqqYrcrHM8t4fn3V6HVduGdegWhA5ltCoUmM3nlZgpNZsw28SGyuxOTgy4Qj9w5nVGz/s24Uf2QDKA5Y6xTUVVWrE3heHZRg2uzC8q4ZPYS5t44nj9eNYbgAG/yi028//VvvPvlRv4+77Jz9TQEocuoqrORU2amrNrqklxEopYALx1RAQa8jeIttjsSLc4LyNaPH+Jvz7xPRlahy3GL1cZn323iuTe/c3ttaUU1/3rrJ5L/8E/Cxz7A4KsW8d/3VlFRWcu4Yb06uuqC0KWUVFnYl1NF6RlBExzrlkurrY7zVZbOqF6zdu/ezaxZs4iJicHDw4OkpCReeOGFzq4WJSUlREdHI0kS5eXlnV0dt8THoQuIJEn87//9iaHXP0PvnpHEx4RhNlvYueco1TV1bbwnLH13NR89e0c711YQuqaqOhtHCmqa2hwIcGQUOlxQQ7JW7nItz5SUFEJDQ/nwww+JiYlh8+bNzJs3D41Gw4IFCzqtXnfccQcDBw4kJyen0+rQEl3rtyl0uKSECAb2jmLP4RwOH8s96/upKnz1y+9cNu9FXn/8FuIiA9uhloLQdeWUmZsNmvVU1VG+T0TXequ9/fbbXb7v2bMnW7Zs4auvvuq0wPnaa69RXl7OY489xs8//9wpdWgp0VV7AbrlytHI7ZzFZ2NqOhNv+w8FJaZ2va8gdCVmm0JptbVV15RVW8+LCUMVFRUEBnbOB98DBw7w5JNP8sEHH3T5TaxBBM4L0pQxfVHs7ftCttsVCksqefmjX9v1voLQlVTUtC5ogmPMs6KmmaVgnWzz5s18+umnzJs375w/ttlsZtasWTz77LPExsae88dvCxE4L0Bfrf69Q+5rVxTe/Gxjh9xbELqCtn7etDe1EW4n27dvH1dddRWLFi1i6tSp5/zxFy5cSFJSErfccss5f+y2EoHzArR9T2aH3dtUXcev29I67P6C0JnaOsKh6aKptQ4cOMDkyZOZN28ejz76aKfUYe3atXz++edotVq0Wi2TJ08GIDg4mEWLFnVKnZrTtUashXNC62bPzPbyz5e+ZdOohzv0MQShM/h56pCobdGm8PUkwM+z673V7t+/n0mTJnHrrbfyzDPPdFo9vvzyS2pra53f79ixg9tvv52NGzeSkJDQxJWdp+v9NoUON3VsP37esK9VL/7WSNmfxdGsIhJiQzroEQShcxi0MgFeulZNEArw0mHo4A+rrbVv3z4mTZrEtGnTePDBB8nPzwcciVFCQs7t6/bM4FhcXAxAUlIS/v7+57QuLdW1fpvCOTHr8hEE+Hm26Vqdn3+LyhWWVrbp/oLQ1UUFGGjpBkCS5Cjf1XzxxRcUFRXx4YcfEhER4fwaMWKEs0xmZiaSJLFu3brOq2gXJQLnBcjX24PvX12AXtdMfllJov4dQtJo8U8eRsDAkXhExTX7GP986Vs+/G4rdebWz0IUhK7M26ild5hns8FTkqB3mGeXS34A8Pjjj6OqaoOvzMxMZ5mMjAz8/f0ZNGjQOa3bhAkTUFW1y7Y2QXTVXrCG9otl8qgkft60r8E5jdEDv36DMZcUoSp2dF7eGEMikE7mt/XtlYQhIJjyfSlu779l1zF+Sz3Ks8tWseLN+4gI8euw5yII51qgt55krewmVy3dIlftTz/9xN///ncCAgI6uypdzvn7WxXOit2usGNfRqPnjCER6Hz80Pv6N3pekiSMwaHIegOKxdxomfoNtI+dKObmv77Nr+//pV3qLQhdhbdRS58ILWabQkWNDbuiopEl/Dy1XW5Msy2effbZzq5Cl3X+/3aFNlmxaT/F5dWNnpN0WlqSU0zSNrMxNmCzK2zdk8HO/cdbXUdBOB8YtDKhvnoi/A2E+uq7RdAUmiZanBeovYdz0MhSowuz7bW1NDWAoyp2agvzsdc2HngBdH6BGINDkWQN9ppKVvx2kOH9mx8bFQRB6OpE4LxA6fVaFDetyrrCPHx7JaHKMtIZAdRiKqdsbwqqtfHtkmSdHv8Bw9D7+qMqJ9OsSBLvHbJR+dV+dJ56ZEkiOdyb8T0DCPPpejMOBUEQmiL6FC5Ql49Ldtsbq9ptmNIPIEkS6mmF7HW1lO3a7jZoAvj3H4LO2xcASZYdX5KEXYXPNmaSUVBFSY2VjRllPLPmGLtzxbIVQRDOLyJwXqD69gxn7PBEt+dr87Ip25eKvabKeaw6OxNVsTd5X1t1FVKjuxtIqIrCpo37yU7PQlHBrsI7O3IorxVLVgRBOH+IwHkBu+Oai5o8by4uoHjHJoq2b6AkZTM12ZnN3rO2MM/tOUmWkbz9WfXJDxzdexhwzL7dlFnemmoLgiB0KjHGeYE6kV/G3Y9/2KKy9ppqmm5nnqLam94+SZIkJEnmtx9+JbZPPF4eBhQFbIpj/ZssNTkvSRC6nPJaKwcLq6mzKRi1MkmhXvh7ND/jXDh/icB5gXrny03Y23lPTgCtl4/bc6qqoljMqIodmwK6wnwen3spBq3M6fv86uS270IhCOfK8bJaVqaVsDe/ktMnp8sSDAj3YVqfIOICPDqvgkKHEW9PF6j12w93yB6BnlFNb0Rbk+NYz6nRyPja6xpd82ZV2r7voSCcC7tyTTy34Ti781yDJoCiwu68Ssf582DyW0lJCdHR0UiSRHl5eYc/3v79+7nuuuuIj49HkiSef/75Rsu98sorxMfHYzQaGTVqFNu3b+/wurXUWQXOJUuWIEkS999/PwClpaXcc8899OnTBw8PD2JjY7n33nupqKhwew+r1cojjzzCgAED8PLyIjIykj/96U/k5ua6lKv/IZ/+tWTJkrOpvtDOvGJ6uM02pKoqVlM51fXjpKqKj5fR7b1sSotyMAjCOXe8rJZlO3KxNfPB06aovLsjh+NltU2W62x33HEHAwcOPGePV1NTQ8+ePVmyZAnh4eGNlvn000958MEHWbRoEampqQwaNIhp06ZRWFh4zurZlDYHzh07dvDGG2+4/MBzc3PJzc1l6dKl7Nu3j/fee48VK1Zwxx13uL1PTU0Nqamp/POf/yQ1NZWvvvqKtLQ0rrzyygZln3zySfLy8pxf99xzT1urf8EbP7J3izbX1ZzRZ2oIjcS7Zx9kw6mgp/H0xrfPALx79mn0HqqqYikrpnT3dji5ttOuqFw9Zajbx1VPfglCV7MyraTZoFnPpqisOlzSwTVqu9dee43y8nL++te/nrPHHDFiBM8++ywzZ87EYGh8Hfdzzz3H3LlzmTNnDv369eP111/H09OTd99995zVsyltGuOsqqpi9uzZvPXWWzz99NPO48nJyXz55ZfO7xMSEnjmmWe45ZZbsNlsaLUNH87Pz4/Vq1e7HHv55ZcZOXIkWVlZxMae6vrz8fFx+wlFaJ07rruY/77/C4pqd9uye+PxW9iYcoQVG/dTZ7VhNXjj2yMRjYcnXjE9HHlqJQlZp2+QKOFMst7gDJqSJHHD9OH0jGl63z9VxTFjSBC6iPJaK3vzW9f9uievkvJaa5ebMHTgwAGefPJJtm3bxrFjxzq7Ok4Wi4WUlBQWLlzoPCbLMlOmTGHLli2dWLNT2tTinD9/PjNmzGDKlCnNlq2oqMDX17fRoNnUNZIkNdhWZsmSJQQFBTFkyBCeffZZbDb3MzjNZjMmk8nlSzglJjyAj/59B1qNxqVVqdXISBI898gN/Omq0bz15B858esSijYt5asX/4yvv2PyjyRJaAxGNHpDs0FTkiTk08rddNlwXnz05mbrKGbXCl3NwcLqBmOazVFUOFToPj1lZzCbzcyaNYtnn33WpXHSFRQXF2O32wkLC3M5HhYW5txwu7O1usW5fPlyUlNT2bFjR7Nli4uLeeqpp5g3b16L719XV8cjjzzCrFmz8PX1dR6/9957GTp0KIGBgWzevJmFCxeSl5fHc8891+h9Fi9ezBNPPNHix70Q/WHCQH7/8lFe/2wDq347gM1uZ9ywRO6+6RIG941pUH5S/zA+v/ciLn92YysfScWglbhj9hTuv+EiesaEYG5mfUv90hRB6ErqbG2btdbW6zrKwoULSUpK4pZbbunsqpyXWhU4T5w4wX333cfq1asxGt1P7AAwmUzMmDGDfv368fjjj7fo/larlRtvvBFVVXnttddczj344IPO/w8cOBC9Xs9dd93F4sWLG+0nX7hwocs1JpOJmJiGweBClxAbwrN/vY5n/3pdi8onRfpyaXIYa/YXtOKTt8Tdl/fnL9N6O4/oZMfsWXea22NbEDqDsY07n7T1uo6ydu1a9u7dyxdffAHgTK0ZHBzMP/7xj05tdAQHB6PRaCgoKHA5XlBQ0GWG6lr120xJSaGwsJChQ4ei1WrRarWsX7+eF198Ea1Wi93uaEZUVlYyffp0fHx8+Prrr9Hpmu/brw+ax48fZ/Xq1S6tzcaMGjUKm83msmP56QwGA76+vi5fQvt4/pbBTOwXCoBWltBq3DcNZQmGxPmzYHKCy3GN7AieZ14pAXqNaG0KXVNSqFer/zZlCfqGenVMhdroyy+/ZPfu3ezatYtdu3bx9ttvA7Bx40bmz5/fqXXT6/UMGzaMNWvWOI8pisKaNWsYM2ZMJ9bslFa1OCdPnszevXtdjs2ZM4e+ffvyyCOPoNFoMJlMTJs2DYPBwHfffddsyxROBc0jR47w66+/EhQU1Ow1u3btQpZlQkNDW/MUhHbgadDy9p0j2Heigp9251FZZyM2yIPjJTV8tT2HWqvjA5ReK3P9yGj+fmUSBm3DJqRGdrypqDgmAkmSCJhC1+bvoWNAuA+781o+QWhghE+XmxiUkOD6Qba4uBiApKSkBnNL2pvFYuHAgQPO/+fk5LBr1y68vb3p1asX4OhhvPXWWxk+fDgjR47k+eefp7q6mjlz5nRo3VqqVYHTx8eH5ORkl2NeXl4EBQWRnJyMyWRi6tSp1NTU8OGHH7pMygkJCUGjcbx59u3bl8WLF3PNNddgtVq5/vrrSU1N5YcffsButzsHgAMDA9Hr9WzZsoVt27YxceJEfHx82LJlCw888AC33HILAQEB7fFzENogOcaP5Bg/l2N/+0MSe0+UowL9o/zw82z6DUOSTrY6RcAUzhPT+gSxv6CqRUtSdLLE1N7NNwS6oszMTHr06MGvv/7KhAkT2u2+ubm5DBkyxPn90qVLWbp0KePHj2fdunUA3HTTTRQVFfHYY4+Rn5/P4MGDWbFiRYMJQ52lXVPupaamsm3bNgDnJ4d6GRkZxMfHA5CWluZMipCTk8N3330HwODBg12uqf+FGQwGli9fzuOPP47ZbKZHjx488MADLmOYQtfgbdQyJjG4s6shCB0mLsCD20dE8e6OnCaDp1aWmDMi6rxIuzdhwgSXLQTB8Z7t7+/PoEGD2vWx4uPjGzxWYxYsWMCCBQva9bHbi6S25Bl0AyaTCT8/P+fyGEEQuremXvN1dXVkZGTQo0ePFg0nNeZ4WS2rDpewJ69hrtqBET5M7X1+56p96KGHCA0N5aGHHursqpwzLf27EEneBUEQ2iAuwIO5o6Ipr7Vy6LTdUfp2k91Rnn322c6uQpclAqcgCMJZ8PfQMTrOv7OrIZxDXWtxkSAIgiB0cSJwCoIgCEIriMApCIIgCK0gAqcgCIIgtIKYHCSct6rMNupsCr5GLTpZJruils/3FLA7qwJTtQWjVmZK/1BmDY3AUy/+1AVBaB/i3UQ4rxwrqeGnQ8UcK6nBbFeRgEmJQRg1Mp+m5rAnrYjySrOz/PYDBSzfksVbtw4hPtCz8youdFv55XVsOlxEZZ0NH6OWi3uHEO7ftrWhwvlBBE7hvKCqKl/tLWTt0VLX48C242UUmsxs2ZWL9YztmxRFJT2rnDlv72TFgxdj6GK7VAjnrz1Z5bz6Szpr9he6ZBDSyhKT+4fyf1N6MTDWv/MqKHQY8S4inBc2Hy9vEDTrVVkUjmaVY7O736csM6+Sb/fkdVT1hAvMyj353PDSFlbuLWiQds+mqKzcW8ANL21h1d6usfHy/v37ue6664iPj0eSJJ5//vlGy73yyivEx8djNBoZNWoU27dv7/C6ZWZmcscdd9CjRw88PDxISEhg0aJFWCwWZ5m0tDQmTpxIWFgYRqORnj178uijj2K1Wju8fo0RgVPo8lRVZfXhErfnFUUlp6CK5pJHfrMzt51rJlyI9mSVc+//fsfSzObUFpvCPR/8zp6s8nNTsSbU1NTQs2dPlixZ4nZPy08//ZQHH3yQRYsWkZqayqBBg5g2bRqFhYUdWrdDhw6hKApvvPEG+/fv57///S+vv/46f//7351ldDodf/rTn1i1ahVpaWk8//zzvPXWWyxatKhD6+aO6KoVuryKOhtF1e4/WdrsCkoLUi4fOFFORZ0NP6P4sxfa7tVf0psNmvUsNoXX1hzltTnDOrhWTRsxYgQjRowA4G9/+1ujZZ577jnmzp3r3Lrr9ddf58cff+Tdd991e017mD59OtOnT3d+37NnT9LS0njttddYunSp81jPnj2dZeLi4li3bh0bN27ssHo1RbQ4hS6vuZio1cjILdjIs6LKwqPfH2rxm54gnCm/vI5f9reuBfbLvgLyy+s6qEbtw2KxkJKSwpQpU5zHZFlmypQpbNmy5ZzXp6KigsDAQLfn09PTWbFiBePHjz+HtTpFBE6hy/Pz0DbZSpRliahQ72bvIwG/Hy1hx4mKdqydcCHZdLgIewv24TydTVH57XBxB9WofRQXF2O32xvsdxkWFubcH/lcSU9P56WXXuKuu+5qcO6iiy7CaDSSmJjIuHHjePLJJ89p3eqJwCl0ebIkMTEhsMm9rhNbkGRbBSoqzWzLEoFTaJvKOlsbr+ucSSznm5ycHKZPn84NN9zA3LlzG5z/9NNPSU1N5eOPP+bHH390duWea2KwRzgvTOoVyLHSGvbkVTU4p9dILJjUi5R9+VQ0MRYKoJElKi32jqqm0M35tHF83MfYtbcZCw4ORqPRUFBQ4HK8oKDA7WSi9pabm8vEiRO56KKLePPNNxstExMTA0C/fv2w2+3MmzePv/zlL2g0mnNSx3qixSmcFzSyxNxR0cwZHknPQA+MWhmjVibW38CliUHE+Ru4YUQMzQ11hod4E+LVtd/EhK7r4t4haFswnn46rSwxtndwB9Wofej1eoYNG8aaNWucxxRFYc2aNYwZM6bDHz8nJ4cJEyYwbNgwli1bhiw3H5oURcFqtaIo537OgmhxCucNWZIYHuPH8Bi/Rs/fOi6O/23KxOxm8o9WKxMd5sPY+ICOrKbQjYX7G5ncP5SVewuaL3zSlOSwTs8kZLFYOHDggPP/OTk57Nq1C29vb3r16gXAgw8+yK233srw4cMZOXIkzz//PNXV1c5Zth2lPmjGxcWxdOlSioqKnOfqW7sfffQROp2OAQMGYDAY2LlzJwsXLuSmm25Cpzv3H4RF4BS6jehAT5bNG8ltb253zpyVcIxt6nUyI5MjGBrjy4CI5icSCYI7/zelF78eLGrR7GyDTubPkxPOQa2alpuby5AhQ5zfL126lKVLlzJ+/HjWrVsHwE033URRURGPPfYY+fn5DB48mBUrVrhMGLrtttvIzMx0XtMeVq9eTXp6Ounp6URHR7ucU09OqddqtfzrX//i8OHDqKpKXFwcCxYs4IEHHmi3erSGpKotWADXDZhMJvz8/KioqMDX17ezqyN0oNJqC8/8mMb2Y6UoKgT5e9Aj3JuJicH8oV/ru9qE81NTr/m6ujoyMjLo0aMHRmPrW4Or9uZzzwdNJ0HQa2Ve+tMQpg44N2OE58L48eOZOHEijz/+eGdXpUO09O9CtDiFbifQS89/bhxAnU0hp6IOCYj2M6IXeWqFdjJ1QDif3zOG19Yc5Zd9BQ1y1U5JDuPPkxO6Va7aiooKjh49yo8//tjZVel0InAK3ZZRK5MQJHZEETrGwFh/XpszjPzyOn47XExlnRUfo46xvYM7fUyzI/j5+ZGdnd3Z1egSROAUBEE4C+H+Rq4bGd18QaHbEH1XgiAIgtAKInAKgiAIQiuIwCkIgiAIrSACpyAIgiC0gpgcJAiCcBZyCstZu/UQpqo6fL2NTBrdl6hQ/86ultCBROAULihl1RaySmrwMmhICPVGki6sZAgWu0JqtonMslpkSSIp1Iv+4d7IZ/wc6vOiXGg/n9ZI2X+cf7+7ip827MV2WiIErVbm8ksG8PDtUxnWP64Tayh0FBE4hQtCfnkdi787yI+785z7KfYI8eKB6b25YmhkJ9fu3DhSXMObW09QY1WcyfDXHysjxEvHgrGxBHnqKK22kltupqrOjgT4emiJDDDg7ykS45/u27W7uXXhMsyWhtuM2WwK363dzcpN+/lgyRyunDioE2oodCQxxil0e4UVdVzz/G/8uDsPPw8dg+P8SQz3IbOomnv/9zvvb8zs7Cp2uMIqC69szqLW6mgZKarjC6CkxsrzG49zrLCGw/k1VNU5tl1TgYpaGwdzq8krr+ukmnc9KfuPuw2apzNbbPzpb8tI2X/8HNXMvbfeeotx48YREBBAQEAAU6ZMYfv27S5lHn/8cfr27YuXl5ezzLZt21r1OHV1ddx2220MGDAArVbL1Vdf3aDMV199xaWXXkpISAi+vr6MGTOGlStXNqiLJEkuX3379nUpc9ddd5GQkICHhwchISFcddVVHDp0yHn+vffea3CP+q/CwsJWPa8zicApdHsvrDyCRpZYevNgNjw2hU8WjOW7v1zCir9N4IqhUTz9zQFKKi2dXc0Ote5oKXZFpbHE1IoKHhoNhZXu9zLNLK5jyXeH+Nf3h9iffWFvBP7vd1c1GzTrmS02nn13VQfXqHnr1q1j1qxZ/Prrr2zZsoWYmBimTp1KTk6Os0zv3r15+eWX2bt3L5s2bSI+Pp6pU6e67FbSHLvdjoeHB/feey9TpkxptMyGDRu49NJL+emnn0hJSWHixIlcccUV/P777y7l+vfvT15envNr06ZNLufrtyA7ePAgK1euRFVVpk6dit3u+OB30003uVyfl5fHtGnTGD9+PKGhoS1+To0RSd6Fbq3OYufSJev5aP5FBHrr0WpOfVZUVBVZklj83X4iAzy5Y3wPNBJ0x2G9R348TFUTG3hPjAsg0sfgdkzTrij8eqCA9zdmYFdUpvQP5cU/DcVDf243EG6NjkjynlNYTp/LH8Nub/kekFqtzKEfn+xSE4bsdjsBAQG8/PLL/OlPf2q0TP3P75dffmHy5MmtfozbbruN8vJyvvnmm2bL9u/fn5tuuonHHnsMcLQ4v/nmG3bt2tXix9uzZw+DBg0iPT2dhISGO9IUFRURFRXFO++8wx//+MdG79HSvwvR4hS6teIqM3Mn9WoQNE+U1PBdSg7f7Mxm5ug4SivrsCnQgp2izkvWZt7ogzx1TU4E0sgyPUN9nOPDaw8U8pePd7VnFc8La7cealXQBMeY569bDzVf8ByqqanBarUSGBjY6HmLxcKbb76Jn58fgwZ17BitoihUVlY2qMuRI0eIjIykZ8+ezJ49m6ysLLf3qK6uZtmyZfTo0YOYmJhGy3zwwQd4enpy/fXXn3WdxeQgoVvz9dBx1bAoZ9Asq7bw9093s/5gobPbUgIGxPhTVm0hwEuPRoXutvNYuK+BrLK6Rrtq4dR4pzuqqmI97VOFosLPu/M5WlhFQuiFs7+pqaptY72m6q41RvzII48QGRnZoDv1hx9+YObMmdTU1BAREcHq1asJDg7u0LosXbqUqqoqbrzxRuexUaNG8d5779GnTx/y8vJ44oknGDduHPv27cPHx8dZ7tVXX+Xhhx+murqaPn36sHr1avR6faOP884773DzzTfj4eFx1nUWLU6hW/Mx6jDoHN2JdVY7t76+lY1pRS4BRAX2Z1dw6+tbqbPaaWWD4rwwvmeg26AJcMLU9Bu7CqRklrockyVYvbfg7Ct3HvH1btuuJ75eXWe3lCVLlrB8+XK+/vrrBt2REydOZNeuXWzevJnp06dz4403nvVEmqZ8/PHHPPHEE3z22Wcu446XXXYZN9xwAwMHDmTatGn89NNPlJeX89lnn7lcP3v2bH7//XfWr19P7969ufHGG6mra/i3vGXLFg4ePMgdd9zRLvUWgVPo9uqH8b9LzeFIfqWzu/F0dlXlSH4lf/koleNF1ee6ih1ueLQP/rLEnsNFpOzP58DRYkzVFuob1mG+etw1su2KSq3FzvqDrkFSliSqzS2bJNNdTBrdF20r93XVamUmju7bfMFzYOnSpSxZsoRVq1YxcODABue9vLzo1asXo0eP5p133kGr1fLOO+90SF2WL1/OnXfeyWeffeZ2IlE9f39/evfuTXp6ustxPz8/EhMTueSSS/jiiy84dOgQX3/9dYPr3377bQYPHsywYcPape6iq1bo1iQJNJKETVH5escJJGiy5bV2fyFr9xfyx7FxLLq2P5ou0mdbbbbxbUouq/flU2uxkxztx6wxsSSEue8mrbHY2XaigrSCKj7fmMGx/CpkydHNKgGZOSb6xQew6Np+jIzxp6zayuH8ame3raKoSBLUWmz86/sDVNa5BkmbonKkrI5//HwEb4OG0bH+jInzw6jruhOGzlZUqD+XXzKA79bubvE1My4Z0CUmBv373//mmWeeYeXKlQwfPrxF1yiKgtlsbve6fPLJJ9x+++0sX76cGTNmNFu+qqqKo0ePup3UA44PyKqqNqhvVVUVn332GYsXLz7retcTgVPodlRV5XBxDQcLqlFUlb6hXsQHelFkMjcZNE/3v9+O4+Oh5aEZnd9SOFpQxc2vbqXQZHYG/p0ZZby7PoO/X5XEnRN6Nrhmf34Vb2/PxmJX+f1gAXknW9H1QbH+53Ags4zfj5QwMsafAC8dQ+N9KTRZqKy1sT+nglV78tmQVkSdteGMXK1GQjLqKK+zUV5n44u9Baw7WsoDl8Th79F9EyY8fPtUVm7a36IlKUaDjodun3oOatW0f/3rXzz22GN8/PHHxMfHk5+fD4C3tzfe3t5UV1fzzDPPcOWVVxIREUFxcTGvvPIKOTk53HDDDa16rAMHDmCxWCgtLaWystI5M3bw4MGAo3v21ltv5YUXXmDUqFHOunh4eODn5wfAX//6V6644gri4uLIzc1l0aJFaDQaZs2aBcCxY8f49NNPmTp1KiEhIWRnZ7NkyRI8PDy4/PLLXerz6aefYrPZuOWWW9r642tABE6hWymttvCPT7aRknoYu81GUHgw8f170S/Sn1BfI3nltc1OhKn3zroM7pqUgG8nBgGLTeGPr2+jpMqxzrS+6vXdzc98e5CeIV7EBXux/ZhjDLJnmDcf7S1EUVRq6qzOoOnOm2uPMeeSHui1MjqNTFSAEQJAr4VHlu9utGsbIMjfA/mMFnlprZVlO3J44JL4tj/pLm5Y/zg+WDKHP/2t6SQIBr2W9xff1iXS7r322mtYLJYGM0oXLVrE448/jkaj4dChQ7z//vsUFxcTFBTEiBEj2LhxI/3793eWnzBhAvHx8bz33ntuH+vyyy/n+PFTSR+GDBkCnBoyefPNN7HZbMyfP5/58+c7y916663O+2ZnZzNr1ixKSkoICQnh4osvZuvWrYSEhABgNBrZuHEjzz//PGVlZYSFhXHJJZewefPmBms033nnHa699lr8/f1b/XNz56wC55IlS1i4cCH33Xcfzz//PKWlpSxatIhVq1aRlZVFSEgIV199NU899ZTzk0RjVFVl0aJFvPXWW5SXlzN27Fhee+01EhMTnWVKS0u55557+P7775Flmeuuu44XXngBb+8LZ0af0LT8EhOT5r1CxrEctBoZSZI4YLOz5ecNePv7UmWqQkHGGBKOZ3Q8Wg/PJu9ntilsOFTEH4Z0Xkq+VXvzm8zaIwMPfLQLU63rG3hIgAcD+4RQVFrb7GOUVlvYn13BkPgAl+Nf7simqWXeBSU1VNVY8PY8NYtRUSG9pJacijqi/LrOhJj2duXEQax59wGefXcVPzaSq3bGJQN4qAvlqs3MzGzyvNFo5Kuvvmr2PhkZGdx2221n9Vjr1q1r9nGWL1/e5PnIyEh++umnZu8DsHnz5haVa402B84dO3bwxhtvuAww5+bmkpuby9KlS+nXrx/Hjx/n7rvvJjc3ly+++MLtvf7973/z4osv8v7779OjRw/++c9/Mm3aNA4cOOCc9TV79mzy8vJYvXo1VquVOXPmMG/ePD7++OO2PgWhG1EUhT/Mf5Ws43kA2E6bGmuz2SkvLnN+X5NznJqc4+h8AzCGhuMRFoWsa7xVWdNE0oBzYcOhIjSy5LbVp0CDoAlQXFbL1t15xIT7NLyoEeYzFrCqqsonW7KabJ1LEpzIrySpZ5DrY+cWcsdjmyjMKcCo13HFhIHcft1YwoK6V+KRYf3jWP6fueQUlvPr1kOYquvw9TIysZvujrJ//378/PzcJky4kLQpcFZVVTF79mzeeustnn76aefx5ORkvvzyS+f3CQkJPPPMM9xyyy3YbDa02oYPp6oqzz//PI8++ihXXXUV4FioGhYWxjfffMPMmTM5ePAgK1asYMeOHc5B7ZdeeonLL7+cpUuXEhl5YSTpFtxbuy2N/WnZrbrGairDaiqjKuMIAQOGofdvuBi8VxOTb84Fm6LS9HSmxqlAda0VcwsCv1aWSAx3fZ4Wu0JZtfsUfACqCrVnTBjatXEnqb9uQ5Il1JNRd3daNv/9YA3fvzqfUQN7tO6JnAeiQv255crRnV2NDte/f3/27NnT2dXoEtq0HGX+/PnMmDGj2SnEgDPdVWNBExxN//z8fJd7+fn5MWrUKLZs2QI41uD4+/u7zASbMmUKsiy7TUJsNpsxmUwuX0L39fWaXS6ZgVpDtdso27sTu/lUl6gsQWKYN0Pi/Nuphm0zKNYf5SzWlZZW1OLVxBitRpb4w5AIgrwNLsf1GhmjrumfpySB/rQyWYczSf3V8XpUT2uqKopKda2Zqxe8SmUXSwQgCG3R6nea5cuXk5qa2qKpvcXFxTz11FPMmzfPbZn6GVVhYWEux8PCwpzn8vPzGwz4arVaAgMDnWXOtHjxYvz8/Jxf7tIwCd1DVY0F5SzSLqt2O7V5JwBHMDHoNCy9eVCn70d5zfAojHqN2zWWzbHYFIYkhTpmwJ5xTpYgNsiDf17dv8F1kiRxzfDoJpfjqCpEhp7qCt635Xe3Py9FUSmvrOWTH3e06XkIQlfSqsB54sQJ7rvvPj766KNmEyObTCZmzJhBv379ePzxx8+mjm2ycOFCKioqnF8nTpw453UQzp3e8WHNFzqDzi8Qn15J+PZJxjM6HnNZKbIE0weG8+0DYxkY69/+FW0lXw8dr942FK1GatOaUk+DFl9vAxcPiyY20heNxnGPEB8D90xN5JsHLibQu/EUZXdN6omHTtNo+kEJxwSkAF9HS1VVVfKzcpucTCRLEut3Hm71c+hIF8geF0ILtfTvoVVjnCkpKRQWFjJ06FDnMbvdzoYNG3j55Zcxm81oNBoqKyuZPn06Pj4+fP311+jcTLwACA8PB6CgoICIiAjn8YKCAue6n/Dw8AZpn2w2G6Wlpc7rz2QwGDAYDI2eE7qfW68azeI3fqIl44GSVucY0/QLQK3vB5UkUFVmjIzmxZlda+PhCUmh/PCXcSzbkMFXKTnY7Cq+Xnp8vQ1k5TU9BDGwp2Pc1tOo4+rRsVyaGETfUK8WBeG4YC+WLxjNPR/8TkZRNbLjRwQSXDkkkqFJoWw70bohkK4Sp+rfk2pqatold6nQPdTU1AA0GbOglYFz8uTJ7N271+XYnDlz6Nu3L4888ggajQaTycS0adMwGAx89913zbZMe/ToQXh4OGvWrHEGSpPJxLZt2/jzn/8MwJgxYygvLyclJcWZMmnt2rUoisKoUaNa8xSEbioq1J8lf72eh/79GbIsoTQxHTQgeSg6H8fyKEl27XT5fls2U/qEcOU5WoKiqCo5FWYsdoVQbz0+hsZfkr0jfFh800CGJoWy4ViZYyNqRaWyxkJZRcNxQ1mC4T0CeWO2o7tZgja1WPtH+7Fm4Xi2HS3lYI4Jg05mfFIoUQEeZJXVOgOnJEmERIVRnFPo9lO7isrYIQ23e+oMGo0Gf39/5wdyT0/PTu+WFzqPqqrU1NRQWFiIv78/Gk3T2a9aFTh9fHxITk52Oebl5UVQUBDJycmYTCamTp1KTU0NH374ocuknJCQEGdl+vbty+LFi7nmmmuQJIn777+fp59+msTEROdylMjISOfu4UlJSUyfPp25c+fy+uuvY7VaWbBgATNnzhQzagXA0WD8v5mXEBUWwH/eXUHK/uONltP5BTQ6e9Z5E+C/K46ck8C56VgZP6cVUV5ndz78kEgfrhsQ5jbzzviegWzMKEdSVWRZYmRyOAePlZCdX+Uc49VrZW4cFcPfr0xC18YJU6eTJInRvYIY3ct12YmlspLUFesoraghIDSIpBED2JD9S6P3kCUJTw89s68Yedb1aS/1vVUdmcRcOL/4+/u77cU8XbtmDkpNTXXOcu3Vq5fLuYyMDOLj4wFIS0ujouLULvL128LMmzeP8vJyLr74YlasWOHSWv3oo49YsGABkydPdiZAePHFF9uz+sJ5Tpbg6okDuHLCAArLqhhy9RNUVLkmADAGh6EqSoOW5ukyC6sw1Vo7JGNQjdnG+xszeXt9BqVVFjSyRESIFz1j/PH21LMrt5JjJbU8PLEHfkbHy7O42sK6o6XszDZhtikEGLWU1Vqxq6DRyCQnhtCnRyC1NVau6BfC9OSwBnW3Wm38tGEfpuo6xo9IJDbiVBA01Vo5XlqLv4eO6ABjsy0vq9XGpXc8z7a9mc5jWWkZAGh9/bGZyp1d3wCyLKHXafn8v/Pw92k66cS5JEkSERERhIaGYrU2vfRG6P50Ol2zLc16knqBjI43tRu80D09vPRLXl2+3mXjYd/E/nhERDcZOAG2PT6Z0HbOfFNVZ2PWK1s4kGNySSwgSY4W2cgBEQT4GZEluLhHADcNCiejtJaXNh3HqqjOa+rz1YZ46Qjx0iHLMn1CvBgd64en3vWFr6oqtz/6Pp+vSHFJotArNoRXn57D61sK2H642JkwIibUmwWXJnDj8Gi3z2Ps7H+TesD9psIekTEoZjPWygokWcYzNJz/PXot00ac2zWc4jUvdBSxrZjQbd37x0n4eRvRnNZdaauudHbJuqPVyBzrgK3Fnvs5rUHQBEfDzK6opB4sQFEdAXLr8XLMNoU3tp7AYlddrqn/b3G1lZ5Bnvx5TAyTegU2CJoAU+54nuU/7WyQeSg9q4iptz7LxtRMlyxL2YVV/O3j3by89mijz2H3oewmgyZAXUEuAQOGEXrRJEJGT8C3VxKf7Spu8hpBOJ+IwCl0W9FhAfzyzgP0OW2pSm1hLihKk9POvT11zHlzOxntGDxrLXaWbz3RZAo7s8VOYYljVp/FrrLjRAWVZrvbecIqsO5omdt0fGu3pbH598YDoOMGKuUHXbfHUh2HeeHnw5RVWxpcsvitn93fr/4edjuWilMpDu2Kyq8HC6moEd2hQvcgAqfQrSUlRLDz87+TNGECPr2S8OnRB8VuczuO5+Who6LKjNWu8s66Y+1Wj6ySGmqbSX8nSWCqcuwlKAH5lWY0zUz0rLLYKattPCA99doPzdbLaio/tSTnNDabwuvrMxocLyqtbPaeAPY617FlVYXyGovL9/VfgnC+EYFT6PYkSeKWqQPwiYnHMyoWjb7x9b1eHlpq66zOrtPvUnPbrQ47T2751STVMZFGlmBQpA86jdyiLLUaNx8CsvPLGj1+Jru1YctSkuBIflWD47oWblIt6VyTKmhliSBvA4oKFhuY7ae+bIoIoML5RQRO4YLwx7Fx+HromlzLWF1rc+lKba6F2FKlVRae+uZAs+VUIDTQE1mSmN4nmKRQr2b3Dg311uPv0fjmCXpD4xmBziQ3lkdaBU9DwyA5tH98y+4pyygWM5UZhync8it561cy8oaneXbZasrPmOlsU8BiF8FTOH+IwClcEEJ8jSxfMIZIf8dM2ebWuktAfLBXuzz2Z9tOYLE3n6k9yN9IbLAXC8bGEONvJDHYkyhfQ6Mp7+pdmhjUoNt51d58Ji9eT5E+yM1Vp2iMHsiaRgIvMGtkw/zOm483bIU2RrHZKN75G9XHj6KY67Db7WRkF/Pky99x6ZyllJS73kfFEUAF4XwgAqdwwegT4cO6f0zk3bkjuHFUbLPl/ziufTYh/v14WYt2Bnvxj0N4anovEoO9nJmP/jwmhiBPx5rM+vBYH0gvTQxiTJzrBvHfpeZw17spZBZV4xkVh+RmV6J6PglJjR5PjPJlbKJr4D1aUEWG2aPZTx0aD0+qjqejWBp2ASuqytETRTz87OcNzlntKqVVDa8RhK6mXRMgCEJXJ8sSE/uFMiEplBAfAy+vPuJcF+ksI8HIhEBmjm4+uLboMSWJBg9yBq0sMTren5925fHO+gx2Z5UjAaN7BTHnkh74+BpJzTFRa7UT4WNgbA9/Yv1dc6yabXb++cU+OPlQkiQRPGIcJSmbUSxm1zrJEtNmjGdXlQeqeioWqiokhPvw6Z9PpbIsrrawLauCH1Nz0BgMeEbFUZOd6fa5XD55GN//sNHtebtd4dtfUvl/D1xHWPCp9ZWyLDHt3xtICPXi/um9G2QqEoSuQgRO4YIkSfCXy3vTI8STV39J52ihY+lJgKeOWy6OY/6UXui17dMhc3HvYFbsaXz7O3AE6osSg3j624Ms25DpTKauAtvSS9h8pIS/XdGXP09qOs/rmn2FmGpdN5bWGIyEXjQJc0kRNblZqIqdeTOG8Mw9f0Cv15JfXssra49xtKgab4OWm0fHML5PMJIkoagqX+8rZG26Y9eYjJJaUMEnoS+oKjU5J9Ma1mcJkmV8eyWRHBfE9838TOyKyt7D2YQF93M5brba2XGslNmvbuWlPw3l8sERbu4gCJ1HBE7hgnbtiGiuGR5FfkUdVptKRICxXfK7nm5AfAA6rYzVzSCeokJipA/v/Jrh/L6e/eT/l3x/iHF9gukX5dfIHRxyymqRJRqdUGQICsEQFALAdVeNRq93vPTD/T146tqG+3ECrDpcwtr0UmedfLz0zpasb2I/vGJ6UFeUj2K1ojF6YAwNx2g0EO7fst1GTt943K6o7M4qo7LOEfgl4OHlu5nYLxSPRhI7CEJnEmOcwgVPkiQi/D2IDfZs96AJsDO3klEDI9Ce0YKtHynsnxDE+rTiJmf8amSJj35rOmNPoJe+2Vm49eWaY7EprDpc4nIsOMADj9N2b9EYPfCK6YFPz954Rsag0+u5dngUl13cr9l8t54eeoYPOJWCTyNLvLnmVLIGFag22/lpV17zT0gQzjEROAWhHaiqyo5jpbyyOp1Xf0nn98wyZ3ai42W1+HobmDAihr49AwnwM+LnYyA20pdxw6KJi/Iju7jGbQYgcLTIdmWVN1mHSweEoWsiY4IkQe9wbxLDvZt9PkeKazCf0UKWJImh/cLQaCTOfBRZgl6h3iy8MomY8ABumDbU7QcBSYK5N1yCh1GHXVGxKwpPfLWX9YdcdynRaSTSC1o2i1cQziXRVSsIZymruIa7l+3kYG6lM1jYFZUB0X68Omco2pPH9DoNPaP96Rnt3+AeLdkr09DMmGtmUXWTLU5Vhb9dkdSifSfNpy2fMVvsmKrMSJKEv6+Bi4dGk5FdQU5hJXa7SrifkdljY7ltXA+8T+7o8so/byavqIKNKeloNDJ2u4JWI2OzK1w9eQh/vfMyVuzO42hhFV9uP0GhydygDnZFxcsoummFrkcEzgtITkUdR4oduVB7BXsS3c67f1yITLVWbnp5C0WVjjf+01uNB3JNzHplK/f8IYmCKovbBf6SBMMSAvntYJHbVqcswdQBTe8TuOT7Q03m4NXKEmV1VvblmEiOanq3kAgfAxarnQNHS8grqnLWXSNLxEX50i8hiOTEYB6eEE9cQMMxTW9PAz+/cS9fbDjAL0dK0AYGIWs0eGlgalIofp46/rsijZzS2gbX1lNUuGyQmBwkdD0icF4AKuqs/HddJkVnzLgM99Zxz8VxbjdNFpr36dYTFJjqGg2KdkUlp7SW0rIadLKE1a42WJEiATpZ4sFpiWxNK0ZRGpaRJfA2arlhlPutvvLKa9mSXuL2PIBNUfnL/3YBEBXsycIr+jJjYOOBydegIXVfPmWVZpf62BWVYycqqKm1cuWYuEaDZr300lo2m7QYQ0OdLeFqO3yzr5D1aYWEBHs2GTjDg73wMoq/TaHrEWOc3VyeycyjP6c3CJoABVVWnlp1lDpr+6SWuxB9k5LTbKq4lXvy+b+LYp1drRKnJgYZtDL/d1Esg2L8efOO4Rj1GiSpfo9ORxkfDx3v3zWKIO/Gc+wCjXZ1NiWnuIZ730vli5ScRs8v35LVIGieLr+4hv4B7nssrHaFt7dlY1fUhtuoASVmlchwPwb2DkE++UTrl7uCI2gO6hNCWnH7b+8mCGdLtDi7saIqC4vXHsNdJjMVqFNUvtiVxy0j3LdmBPca23rrdCpQXm0hMdiTp6f3YltWBeknu8sTQzwZGeNHRbWVV1anc6K0hpmjY9BpZLJKapAlibG9g7hqWBRehqZfqsE+7oOqO4oKT329n2uHRCCfsbH3J1uansGrkSXW7CvgyiGRjZ5Pzamkxuo+h550MlhGh/sQFuxJbmE11bUWtBqZiBBvfLz0jpwRIn+t0AWJwNmNfb4n37kOsCkpOZXcMqLj69Md9QzxoqCizqVVVVdc6Eg2YLdj8PMjJnEMAB46DRMSApmQEOgs+8rqdJ77OQ1wZBhScXSHXj44guduHoThtN1Icspq2XGsFFVVGd4jkJggT+e5qAAPRvQMICWjrEVLUuqZqq38uKeAK85INJBXXtdklkC7opJdWuP2fHZ5HRqJFv396bQa4iIbjrmqQM+glq0JFYRzSQTObqqs1sr+gpZ1c6ktmGUpNG7WRXH8dsQxtmgz11KyczPqadt0WStK+eLtTEb61bFg9iSXaz/dmsXSn9Kc3yunNa9W7M7DS6/h37MGUVFj5ZFP97Bqb76zBSYBk/qH8u+Zgwj0dqzLXHhFEje+vAUa6R5tSlpBJVfgGjgDvPTUWNyPP8oShDTRytXIUou2RFMUpUFrt/54jyDPBmkFBaErEGOc3VRxM12IpzO0YCmE0LgxvYOIDfVGURRKdvzmEjTrqarKQ0u/4qvVqc5jiqLywsojbu+rqPDljmyOF1cz+9Wt/LKvwKXbUgXWHSxi5stbqDE7xq+HxAfwv7tHEXtaS7QlGkuIcMPI6CZ3ZVFUR9Yld5LDvZsM3oqiUFpQTFFOAaqqopzcTFtVVVRFBauVO0aK4QOhaxItzrNgV1ReXHmYZRsyqayzIQGxwZ48PKNvp+fYbG7N3+lkm5gc1BZ2ReXVzSdI7hNCyfEMCm3WJsv/7bmvufbSoQAcyjORV17XZHlVhRdWHmF/jsnt4x8pqOKL7dkE+Rj4aVcelXVWxvcN4d5Yfyx2hUe/2Ietif5SrUbixuENA9QfL45n+dYTFFWaGyyR0UgwKM6fSf1C3d43IciDuAAjJ8rrGg2gsiyze2MKx9OOkTCgD32H9cfH35e6mlqO7D7Ev24f79wVps5qx6aoeOo1joT5gtDJROBsI6tdYeqS9WQW1xDhb+TSAeFoZIl9JyqY/34qt2XEs+iaxnOAngvRfkYCPXSU1jb9Zh7soWVQsOgOa4vdeZXkVVpAkijNyGi2/In8MmpqzXh6GKgxN/9hRZYkUjJK3eafrff/vjuI2aY4y20+UsL7m46z4NJezL44nvfXu6/bDWNinUkLThforefze8dw7we/8/vxcudxSYJpAyNYMnOAS67ZM0mSxN2jY3jptyxyG5nxW3gin4wD6UiyxJFdBzmy66AzQcKTC65g4rBe/HqkhOMltcT5e6CTZaosNrQ6mXE9/V3GfgXhXJPUplZMdyMmkwk/Pz8qKirw9W168XdLPPjRLlbuzefJ6wZw2aBIZFlCVVUkSWL38TIe+mQXz908iOE9A5u/WQfZllXBBym5bs/7GzRoaq08cW3zuUWFht7dnkNqrglVhc9e/ICq8spmr7np9hvZX2RGUqG4ytLsOGCYr4GCVi41Od2zswayM6uCzzcfR1FPbWQiSXD1iGj+M3Ngo797u6JSUmWhvMbG0cIqMgur8PfSMq5PCNGBLe8KttoV/v7zkUZn2BZk5bFv2y7yjmVj0MqMG9aL66YP5539tfSPC+TaARHoZMm5XKX+rcpktjGhTyDGZoJne7/mBaGeaHG2gV1R+T41h3fnjWZoj8DT1qE5/u0f7cdH/zeGRz/bw/t3j+y0ekb6Ggjy1FFSY3UG9XoeQKKXllsvSxRBs41qbXbnuKO3n2+LAueGYybUBpleG5IlCPU10jPEk6JKc6sm+9STgNd+OcovC8fz4NRevL0hk7zyOsL8jNx5SRzhfo33NFSb7RzMrcJ6sovX39PA4HgDsgR6jYaPN2fxyZYscstqCfTWc8OoaGaOjsW3kUQa2RVmt8tSQqLDSTKOI3hgDfEBHhRV1LCqTEffBC+u6BOCTiO5dM3W/536GLRszShnQm+xX6fQOUTgbIOjBZWM7R3KiITGX7hajUygt55hndjazKmo47kNmVhPvuPWv+koioqqqtwwMopRsf6dVr/uINzbwKFCR37Y4ZNG88OyL5ssr/X1b1HQ1MgSGlni+T8OpqCijs0nt/ZqLRU4VlRNbnkdUQEe/P0PfZu9xmZXOZBb1ei4qKLC4YIaXv0lndyyWlSgtNrCku8P8fa6DP52bX/6R/qSGOzpDHi1bpJrVNVY2LE3n1qzY25AbqEjrV96QQ2ThkThrXf/1iRLErIiYVfUFuX4FYT2JmbVtoGpzsaVw6Kw2d0v8NbIMlcN67xZgV/uLcCmqA0WkMuyhEYj89nuAixN1F9o3th4f2dLMDQmnLC4KPeFJQn/pEGNnwJnIniNJDE1OYyv7x/LqIQgLhsUwfAeAU3OcG2Ou31AG1NUaWlyMhGoTB8U6dLFrKpQbDLz9FcHeHFTFk+sOsqxEscaz1DvhjN27XaF7XvyqDs5G1jlVKIDRVFZm5pNRlHTu6LoNDIFpqYnVwlCRxGBs5XKqi2s2pNPkLe+yckRAAFenZNns6zGSlpRTZPde3U2hT25zXctCu6F+xqYkRQMOIKf/8AReEREOwYQTyMbPQgecTFaj8bHBlWgX5QP25+cwr4l03h1zjD6nUzCrtPIvHfXSMYkBje4zlZbQ+WxNEp+30rprm1UZx1Dsbguh/Hz0BHZRD7ZM5VVn5pMVmSqY/mWTP75+W7++flulm85TmmVhRE9G/a0qECZqY7KagslNVZe3JRFTkUdwV56egd7ugT+3KJq6ix2t+O7KrBit/ux+XqLvjnQ4uclCO1JdNW2wsEcEze9vIXKOhs9wnywndwqqTGK2rpF6O2prJmZtOAYQyutab6c0LTL+4YQ7KXnkx3ZVFSa8eszAK2PH1XHDqOeXJ6i1NViOnIA38T+aD29Gr2PRpbdJhSwKyqpmWUux2oLcqg4tNclJ52lvJSq4+kEDByB3i8AgCuHRaJvxdKk+iQMO46V8OLKNMcay5MPkVFUxY+7crhrUi+315eZ6vDx0mNXVX4+VMydo6K5aXA4S9dnUmdVUIGCkqYTc6gq7DzmvntaVVVqrHYO5lW5TaAgCB1J/MW1UHZpDVf/dxOVdY7upa+2Zzfb4vQ2dM6U+Zb06ikqeDeT/1RomZExflwc7WghVp/IoPLwfmfQrGcpK6UkdTO22oZBQ5ZgXJ8Qt/f/JiWHOsupsUJrZQUVB/c0mshVtdsp27MDxWIhwM/IrIvjWvVcvAwa8spreXFlWoME7YrqCOKvr3GfuEE6rezuvErMNgV/o5YoX4OzhWlvwRCBxa64ZFJyeQxJYuOhXHQ6mUP5ja9xFYSOJAJnC81/LwXLaWM/OzNK+fH33EZf3IqiIkuOheKd4UiJ+xyi9WQJBkf6nIPaXBgMOg2KxULlsTQ3JVRUm52qDNegIwE6rcysMbFu730gx+QyCaY6O7NBd7DLI9nt+FhLGT0wgphWpqwL9zOwem9ek/t6NtWTEnja4ymqY3LQOztyOHra9mGGJib+1JNlifKTH1LrX2PKyQf+6qctvL8+k5AAT9anNb2VmiB0BNHkaIHDeZXsOdHwk+0jy3dxorSGP14c79y9QlFVtBoJndzke1uH2nmiotkynjoNnnqxiLy9XNw7GEtxXjPbeajUFeWj2KzIWh2y5BjDfPP24YT7u9+i68yuVnNJUbPbhtQUFTIixs+lV0FVVdLyKskrryPQW8/AGL8GS5E89BoO5FS0ephBAkICPfA6bUmKVpYoqbFy4IycyS15XVhtCj8eLiLW34M4PyNaVNKySvjiyzWkHUgn/tLp6LQy2RUtTy0pCO1FBM4W2OsmENkVlRdWpPHmmnQGxPqj1ThmRN46Lv7cVvA0qqpSVN382KVO9DW0K38vPQkBWlLqMwy4o6r0CNDiF+DH+L4hzBoTS0QzrcLJ/UL536bjLvdojozK9QPDnN9vP1rK41/t4+BpE8Ligj35+5VJTB0Q7nJtWz7w+XjpGdjnVAo+WYJRsX7sy69qkPkoytfoXH7SFJuikFlew6ZDBRw6VorNrqB6hxM8No6h/cJRgaJK94noBaGjiMDZAjpt4+8klooyqk9kkF9aRIaqovPxJeqm8agXx3VaUoG0ohqXLuXGSECU2HWi3YWG+UML9gSJD/PnvfkXt/i+4/qE0Dvcm6OF1dgVFZ2fP5bSYrflZVni2nFJ+JxsbW4/WsrsV7c2GFbIKq7h7ndTeOnWocw4LbfyqIRAsktrG+Sodd5fgnA/I8gSFhWiwnwID/ZydifLEnjpNVzWN5jVh0tcxtyNWpkhsf6kpJfgfl6tw7bdOdTU2Z3LYyRJAg9v5LoaNu8uYMKIGMqq255VSRDaSrQ7WmBMr4bT72vzcyj9fSvm4kJQFFBVrKYKXnrrO+Y/9UmTY0Qdaevxcpc3KsesSNe6qMC4HgHntF7dXVGVBZ/4uGbjpj4gmPXpFRzIab47vZ4sS7x/1yjigx3LWXxiejRZXkLizzeOAxy//0Vf7Wt0lrd68mvRl/uwnjZh508XxzvHExujqvDWncPZ9OhE/nPLYJJi/FzGYJNCvXhofDwBHjpCvfUuj9s31IvrR8a4nfhTzyjbKc7KoSo7E7mq1NnKliQJ2cMLzFXsOVKAv5vsR4LQkUSLswVCfI2E+ugprHSMp9jrah1LAYDG3imXfb2ZCSN7c+P04eewlg6ltVZUoKLKzLET5eQXV6Oq4GHQEhflS1ykH1qNRP+wxpdFCG2TUVqLt78vfYcnc2jnvsYLSRLePRLRyBLfp+bRL8qvxfcP9zfy88OXsGZ/Aav2FrBJZ2bvzj1oZBn7yS25tBoZu6LyxuOz6RHtWPeZllfJoWbW65ZUWdh4qIhJ/R1du/2j/Xj8uv4s+nI/Gllytjw1soSiqDx5fbKz7pf0DGRsfADHy2qx2FXCvPUEeJ4a5xwZ48fX+wqxnbyHXiMTHejJ/12ayCurG87O1chgNVuo0+nRB4WhqirVRflUH9pMWL/+2D39URUFFJXScosz3aUgnEsicLbQzRfF8fzJ/RNr8k7QVNNCliVe/WQ9N04fTq3Vzo4TFeSZLOi1EoMifOgR6NFhXbmeOg2FJTWkHMgHTg2H1ZptHDpWSmFJDRcPihD5adtZ/Y9z8MQxZBVUU5Od6TIWKRuM+PUdiN7XHwkw1VqxKyq/Hijks20nyC6tJdTXwPUjo5k2MBxdI0uddBqZ6QMjmD4wAmYPZuWm/bz88Tq27TmGRqNh6kVJ3HPLJIb3P7UEpbmty84st+1oCW/9eowNh4qQcCypsquOLtaxvYO59ZJ4hsS59lZoZImebvYA9dRruHlIOB+k5CEBhVWOD5/zL00k2MfA67+kOzMAyRLYFZC0pwKvJEkYg8PQ+wWQl7qFgeMvJs+spX7hS332IUE4l0TgbKE7JvTkxVVHUFSwmpruZlMUld8PZpGSbeJ/KblYFRWN5Ai1vxwppVewJ3eNiu6QWa1aVH4/VOB24kVpRR2Hssqx2pVG35wvZI4NlVU0bfi5JAZ7IgFGg46AxCS8Y3tiLilCsdkIDvYnIDyMQpMZm+LoOo8K8OCOt3aw/lCRs1WXlgfrDxUxMMaP//15VKNJ00837eL+TLu46a3rAhtJedeYbw4U8dW+QlIPFbq0MivrbCgqXD4qhiU3DWjTB65Rsf74GLT8dKiYjNJaCirNhHjpmTkmjhtGxZKWZyKvrIYF76cAUoPHkGQZWW/AK7YnOQcO8NcFN/Ly96lYAWu1mBwknHsicLaQt1HLc7MHc/+Hu5BakKlEo9GwbEeOs11qVVTyCquoqDJzNEtDcWUdI2L9kSWJpDAvegV5tksrcN/xcuzNTA7KzKnAVGcjyKtlb6rnm0NZJXy+6QhGnYZZE/oQHdL0llI79mXx2Gs/sWn7QWw2O/FRQdx90yXcfdMlGPQtS5vo76FjWLQvKTkmYsJ9OJ6rcv30Edw1uReJ4Y71suXVFj7Zcpy3fz1KVkkNG9OKAJxBqn4scH+OiYeX7+H1OcPa+BM4ZWCMH7FBnpwoqXHbR6LVSHh4aNmYkuNSn9Pr9Nm2E4zrE8wfhkQ6z1ltCqXVVmyKilEnE+Clc7vRdL8wb/qFeVNptmG1q9S/hDSyRL8oPzalFTm3O2uMJEl4RsRQsPEgSeHe3DE1mY+3nSAgpOXd3YLQXkTgbIWrhkURFejBnYsLSSspdFtOq5FJ7HdqAkdGdgWHMkpcWoFpmWWsCfJkaL8wVh4uIdrPwN2jY1zGh9qi2FRHcysiLFaFWrMdutkw597MEq5dshKrwcf54eaVjXlE6C38vGgG/j6uE0kUReXeV9bwzrJvT/a8O35omTklLPzvN3z/6x5+eG0BRkPLficzB4dTUmOlLjaAPwwIZ/6URJdJNv5eeuZN6sU1w6O5YukGt2sl7YrKqj35ZJfWtGrvy8ZIksQ/rkri7ndT3Jbp0yOQnMKm0+DJEizbkMEfhkSiqirHi2vJr3DdT1QrSySEehLo7f7n5eNc7ww2Bax2xw4nP+/Oa/65yDIaoye1dWYuToqgQJUwK5BTUUuUmCQknEOir66VhvcIZNPzNxMS4O12SyNFUYkbMgAVR+vu4LGSRgNZQUkNW3bloqoquSYzL2w6ftY7lkT5uV9IfzofY/f6zJSWU85lz6zCavR16RGQNBrybEZGPPwdljO2uHriyz28+/4PJz9lnDHzWFXZsusYS5etanEdPHQaHhgXx/3j45k/JRGgweQVjSwR5mfkmhFN75yjAlvT2ycrjqdeS/9o3wapGLUaif69goiL9KOi0rGsw9/XQN+egST3CiY+0hfdyeQLigr7sx1JQDKLa8mraLgJt01RScuvpqIFOZAde3uCpFiZtnQ9h3JNLepx0fn4UaHISEBCoOOT37FS0V0rnFsicLaBt6eBH1+/h0C/xptsiqqybdVvWKxWDjWRrBqgvNJMSXktigpF1VZSs88u9+aVQyKbXVjeL8oXv7Ns2XY11y7+Ga2XT6NvvpIkYTN6M+df31NrtbM2vYQnV6ezLjUN1e5+comiqrz+6QZstsb3lGyMRpboE+LdbLlZFzWfQ7a+RfpbegmPfr2fhV/uZ8W+glYtdVr6Uxp/fH0bB3MrnYGu/kcUG+FLmcnM9j15mM02Rg2M4KLBUcRH+hEd7kNSQhCTRscSGep4PjqNjMWmkN9Mtp6skpZv93WswERBaS2aFuan1PsHsPJwMZVmG2Enhxp6BLTsw6IgtJezCpxLlixBkiTuv/9+57E333yTCRMm4OvriyRJlJeXN3uf+Ph4JElq8DV//nxnmQkTJjQ4f/fdd59N9c/KgN5RvPH4bLfnC0/k8c3rnza7Xg0crVJwzBNMyTm7wHlRYhD9onyb3L/x/um9z+oxuppCk5mKZtbBq4rCr0fKueW5FXy5t5CCKiuVJWXN7qxRUl5NQWnrtl9r7lcuSRJxQc33k4f7G5iwZD23vLKVjzZksnxTJn9+ZyejnlzLrkayWdkVFYtd4cDRXP7y7y8YPvNfPLX0E2pysrBaTrUC6+t3LLuC3MIqistr6Z8YTMDJ3gpZlpBlx2tMliQG9QkhOMCDUYlBlFQ135qsMtsxW1vWc3Lbu79jttoJ8m1Z8DMEh2GzKxwpq8X3ZK9JtP/ZdWcLQmu1ub9ux44dvPHGGwwcONDleE1NDdOnT2f69OksXLiwxfey2099qt+3bx+XXnopN9xwg0u5uXPn8uSTTzq/9/Ts3BfMX579osnzVWUVaEuLMAa63/kCHEtFwNE9V9vCNxx3JEli2dwR/PH1bRw+me7s9EkX/7y6H5cmhzV9k/NAndXOT7vz+WlXHtmlNch6Q5NdffXjY2u/W8fMB+KQNRo0Gg1qCzL9GHStfJlINJsIwWpX0EjQ2DwujSwxLD6ABz7eQ5mp4SeC4vI6bn5lK6sfGUdUgCeHCqtZfbiYQ0U17N38Ozt+2Ywsyygn13dayoqpOp5O4KCRaL0atob9fQwEuckkJUkSiqqSEONPZKgXNrvSkqeHTVEwtOBzuXPHlGaS49a3sjV6A56eerJNdfQO9KR3kBjbFM69NgXOqqoqZs+ezVtvvcXTTz/tcq6+9blu3boW3y8kxDWwLFmyhISEBMaPH+9y3NPTk/Bw17yanaWispaM7ObHoKozjzYbOOuTeMsShPu0baar2WZn5Z58tqWXogJ3TUrAQ6/hl30F1FjsJIZ7c9PoWKJasalxV5VfXsfs17ZyrLDa8cEAUG1WVJ3ebfBUVRXFZqWuppbs9Cxi+/QgJjGOfVt3NflYoZGhaI2N75PpjkZqegcRcIwv9o305cDJHobTu1GjAjzoG+PHdjfd/CqOD1vPrjjC9aNj+WRXPrIEWWkZ7PhlM4AzaNZTLBZK9+wgZNT4BrPCw4K9HDv6uOmmkCWJIH8PSiwKkiy14KNGw8T07kgnb1Ze2XSXQf3vVa+V8TBoUVRHso+MspZ3CwtCe2lT4Jw/fz4zZsxgypQpDQLn2bJYLHz44Yc8+OCDDd4EP/roIz788EPCw8O54oor+Oc//+m21Wk2mzGbT70YTab23bdvb0ZBi8qptuZ3byipMJOZW0F8pB8Xx7c+Fd7+7ArmvLmDokoz2pNvfp9sySLYR8+yuSNJjuk+U/ZVVWXuOzs5XuzYOi0+2o+EaH9+XvE7eLjv/pQkCUu5IxBVmaoACI+PIigihNL8YrfjhskXD+PzPQXMHdX0ZJ7TyVLzjU4PncwX917EFzuy+WRLFnlltQT5GLhxVAw3jY7hyhc2N/s4a/cVYDM6PmgpKuzd/DuSJLl5LiqKuQ59dQnXTx2Ol0FDRlE16w8Wom3F/nceOrlB0vYzBXppW7xG+MN5w7j2pe3UWuyodjvIcpM9B3ZFdezE4qkjrbQGq6JSVFVHiLcY5xTOnVYHzuXLl5OamsqOHTs6oj588803lJeXc9ttt7kcv/nmm4mLiyMyMpI9e/bwyCOPkJaWxldffdXofRYvXswTTzzRIXUsrrbw+ZGWjXvFhPrSkjl/B9JLiAvy5GhJDUFeOue0/WbrUmnm5le3UnVy70Lbae9opVUWZr+2lV8WTiDEp3Wtpq5q+7Ey9mU7xvcS4wJIPJnFJjEplvRjRY4u2zNaVKqiYK+rpSrrGAAeXo5WtyRJXDprBis//J6ywhJn0JFlCVWFe+Zchn//JHbnVlJRZ8OvhTORpZMzRi32xoOnXuMIrka9hlvGxnHL2IYThapqmx9LrDXbMFWbURQw6mUKTjS9pEOWJcZFaHn06v4nt7+TKa40s+i7Ay3aEUUng6+Hlh4hHhwtbPyvWiNLxLai+7R3ZACBnhqOFRaiMXqhNTYdABXV0bkuqyqF1RZUVeXdHbk8MrFnix9TEM5WqwLniRMnuO+++1i9ejXGZv7A2+qdd97hsssuIzIy0uX4vHnznP8fMGAAERERTJ48maNHj5KQkNDgPgsXLuTBBx90fm8ymYiJiWmXOn69rxBFo8UnwJfKsqZbsrm5Rdw6Wc+PGRaaW2my/VARskHHN/sLuap/KFMSGyaXP9PyrVlUnczuciZFhao6G59syeLeqYnN3ut8sP5kZhuNRiYhxt95vHfPEIqKqygrMaHz8XW2uiRJwlpVSXV2Btis6PQ6YhJPBSpPby+umncjJ45kcmz/USora7l0WA/+dutkosIDsSkqL27KJL/S3OLA6XhcR4BUwfl7l6WTrdEWBKkQXyOlJnOTrVa7ojqTFkhq82PjEhJ2RXFM/jm5OCXQS8+S65JZtPIIKmqTrb0xcQHoNDKhvgY0skRWSR11p43J+3tqiQ/2wKOFGbEURWHgwlVUmW0Y/Jv/Wwfw8tBRa6pjY0ElkaHeSCrkV4o9OYVzq1WzalNSUigsLGTo0KFotVq0Wi3r16/nxRdfRKvVukzwaYvjx4/zyy+/cOeddzZbdtSoUQCkp6c3et5gMODr6+vy1R6qzDZ251WiqDBoUvNbQ1msNpa9/wPjYj0arKM7U0lFHXbFsYvF1/sK2ZxZRuqBLD5fmcLqzQcwW1xbIaqq8sX27Ca7zRQVftrV/OLy84XdrqLXyEwZEukyJqeRJS4e2YOYCF/MFWVYTWVYKsqoKcihMv0A5kLHz2DoxFFoda5LcWRZJrZ3D6KGDmPY9IkE9uvL9mILBVWOru/L+oaga0MycelkoNRpHF+aVmxuPuui2GbHEk/vkVUlGU0TXdUAiqowrL9r61aWJTz0GkZHO14f7nZF8Tc6tgmrF+StZ3CsD4NifOgf5c3QeF+SIr1bHDQBej+0gmqLvVUZs1RV5ddduc7ffbSvgZaNugpC+2lVi3Py5Mns3bvX5dicOXPo27cvjzzyCBrN2eVeXbZsGaGhocyYMaPZsrt27QIgIiKi6YLtrLTW6nzDyigD/wHDKN+X6nYNgqo6Xuw7tu1GDWt+GYiiqshIFGbnc9ObyynOd0xA6tsznD/Pmsj0i5MJC/ZFkuAvH/7uHOtrSk03SoQ9JjGYm8f2YGeuiXVHS1w+NMiyxNChPQkwprPl543UVZ/62XgY9cy+YRKGxF7U2k5dVD8WWVBSQ0ZOBRcPDMNkVdmWVc6W4+Vc2S+UcT0D0Z/jFc+zR0bz8eYs0rJbvv2YV0w8psP7Gz0nSxIeRh03XT6ywTmtLHPjsGiWrdtAdIQPvj6nepMkYGiUD9cNDHMu/3CekyQ8DW17zf/354NNzqRVVdfWb/331bU2JAnnLOCCoioGiC3yhHOsVYHTx8eH5ORkl2NeXl4EBQU5j+fn55Ofn+9sCe7duxcfHx9iY2MJDAwEHAH4mmuuYcGCBc77KIrCsmXLuPXWW9FqXat19OhRPv74Yy6//HKCgoLYs2cPDzzwAJdcckmD5TAdzVPneKOw2WzYFRVjUCiGoFDMxe4nC9nsCplHjhPSTOCUJUfL6Xj6CTb+/Bu26iqQZLQGPdE947l4RBIhQb5sSknn6zWpFJVVoy+qo9YnFI2x8XEljSyRFNU+re3Opqowslcwqgq+Rq3b9ZI9+vUirk8PstOzWPfVam68YiyzrxmHh9GAxa5wtKyWjLJazHYFb72GrQfySc8pZ/zwWAw6GUmWnQH5uwOFhPsaGBDefFKD9qTRyHxz7xju+3g3a/fmOzdzbopHRAyW8lLqCvNcJgnJsoRWo+GDf8/F19v9+OPtY+O4algkWo1EnsmMRpYI9TZ0yGYEr63JaPK8SyvUbqU6+zhesQlIkkRMuA96nYajWeV4SvCncU3vTyoI7a3d8669/vrrLpNyLrnkEsDRmqyf8HP06FGKi113sP/ll1/Iysri9ttvb3BPvV7PL7/8wvPPP091dTUxMTFcd911PProo+1dfeBkK/Hk/yVcu9eCvfTE+htJPW2pgNqCLuqWdGMrKpQWl/Prl6tQzKem2dvq6vjll62M2byHgYlR7Nx9BK1GRj05UUJRDuDdozfecQ3Heu2K2ujkk/NReZ0Ng1aDRpYYEunLd/vd7wLDycBhs1r5ZuVWpl4+llgj6GSJ3oGeJAV7UWiq45VVh7FqYcqYHm5npK4/WsLAcxw4AYw6DW/cOhRTrZV1aUX867tD5Ja5n2omSRJ+SYPwCAlDKs2lrLAEJJnkAYm88bdr6Nuz6d6ZW8bGOf/WE4I7NiWjrbn1OqeJjwnCL9aDlEPFRMZFkhATwIGjJWTmVDCkVxChLdwBRhDay1m/Os5cr/n444/z/9s77/A4qut/vzPbtdpd9W7Jcu+9NwwYY3pxgJhqQ0gIJtQE4iTUkMA3/AJJINQQIAHTA5hqbIMN7sa9F9myrGb1Lm2b+/tj1dbaXa1syZbxfZ9nH3tnZu/cudqdM/fccz7nkUceCfmZ7OzsNttmzpwZNCWgR48erFix4jh7GD6aAI8Xjg2z0Ku+lxC+Y24YnUKUSceerBKq6j0YIm24yksJlYCgj2j/xuuqLOfLhWvQnIFz2lz19WzJ8s1sPcdEGtUc2ofOZMKS5J82cf3kdKb0i+PHQFmdhxS7b/YTadJzfv94vtxT3OY4BV8k7cZv1wG+v9n0fjFEWQwUVzbw3uLNfLnxEPkNKlariTETBrZ8NsB6297iOnx/21NTw9RuMTAkxR7SaDahKArJmRnMvHQ8H6w7gkcTNFj09EoPLXoRbtBSZ9FeIYLW5BRWc864HgxDR36Vh+Ubcpo/mxxvJcyUUYmk05BfuUaE8KUPeIVgzf4SHnp/G3f9ZyPPfLmHg0W1uLzg9PrKgznMRm4Y24PvHprBz8/pjSWlB+1pqUSkhZ71uSpKqdizDVdlRfC2hMBTU4ViDPyEXZOd5ffwcdmoFB6bPeRHUbS6qMaFovgbtnP7xHL54EQiDP5f4xS7iaFGJxXFZehUlTmzRpNoM2HSq6TFRmDI6EHK0H4kOPQMHtoi99idCUc4HXymfc7EdDxerflbVFXv4clFuwDaSEA2fV8MJ/lO0CchfNUvTRNU1brI6JVCg9PbbDRT4q0UljfgcZ9YUKJE0lF+XCUyTgC3BtX1bm58cS178ltSTISm8Y/3VjMq0ci0gYmcP3VIs8vLpNdxzwUDcHsFz5UWU31gd8C2TXEJbWaCrRFCULl3BzqjCa2+/WAfndGMx9U2BN/bUIe3vrZ5djt3Wma3Nwjhkl/VQLVTIzHS1FyVRlEUpvaKYWLPaLJKa6l3eWnwaEzIiKa2LpXfPKqg0yn86trpze0cqWhgT1EtkQ4bg8YODfv8Tq8Xs/7U/VxSoi1hSd1FmHTcODmDRZvz/Yzk22sOU1Hn4s7z+9GzUYTeqwn0qi/i92R/TT69dxr97/8q7OObLiUuJoLcwmoizHqGD0hg5aY83vpmFw9cPbaLeiqRtEXOOGlxwd50jNF0VZZTvHY5FTs28c0363j0n4uYeM2fuOaeF6isaXGb3T6jL7GZvYgeOhqDoyXCT2e2YOszkKhBI4MaMAVwV1Xgra8L33cV6loaXbg2s57h6adGMUgIQVW9h6OVToqrXLhPsFQa+CpzrM4uD1jKTd9YkWREqoOcCt/fxWjUYzEZeO/pnzOwd8va3o5G/d6O4jnFgcmJDjPTBsYHLWUHPuP3zvyJJDjMXDkmrVlFqokvtxZwwV9WcMn/W8G1z63indWHMOmV4xqPE8Vo0HHl6PDkMxUFHI0CHqqiEGHWM3FECllHKqiqcbIzJ3QFIomks5GGs5EfDpayu5XR9NTWULZ1PZqrcb1RiGa31pJVu7jm7hea30ea9UzpH48pNoHYkRNInDqThCkziBt/Fta0nm2UbMAX6RjjMJOZ5qBvsi/831NfG9ajv6e2JvAOVUVn8UVNPjZ78CmZbdY0eNiSU83OvBoOFtdzoKiOjYeqOFRcF1almGD0jY0gr7KBpft9QWWt22r6/9rD5cRGGPFqGrkl1Xz99u85f8pgv3Y8mua3Uhluia7IblC/9A+XDcRi0AU1nk9fO7xZXjEm0shf5gxHUXzaua05WFSDqipcF0Zps67kqWtHMXNY09pr8L9DakIkRoMOpVEzd8SABHYfLGNfdjlAmzQZiaSrkYazkZe+yfJ7X5NzMKggpxCCdVsP8tX3O5q3OSwt645ms5G+mfFMH5fOzEk9mTYmjcw0R7MmqAIkxkYwYXgKA3rFYrP7EteF243BHtV+ZwOqxChYElNR9QZ+c2F/Lh8TvrZqZ1Hv8rIzr8ZPTQZ8t8TCShdZRe27oYNh1Kuc0yeGL/cU8+bGPPIrW6KOi2pcvLe1gEU7jzKpZzSqorChsI7/bivm6DHi4akOs19FkvYeLoQQ6LuJt7tPoo2P7pnElH5xfsa/b2Ikr9wyps3f/PLRqSy8fQKTWh2fYDdxzwX9ePO28Zi7IM2kI6iqwotzRzMg1kCwwCtHpImBvePQNEF1rYudB4pZvSWf/KLGh0chmDtz0MnrtESCXOMEfJO8oxUtrlchBA1FBbS3ovTYPz/hgmm+dbIjZT6jkBQXwfD+Cc3KJoqiYNUZGJAZQ48kG2u35uNya2SktORWpvRKw2Q24Wxw4q6qQG+14antWA1InSWCYeNH8a/bJtAn0dahz3YWuWUNIVWMSqrdpEZ5jztp/uJBCZTUutmcX8Xm/CpMOhUUcHo0XFVVVO3YyTWffo3VHol9yBDs0Ta+ySpjzogWV+2wZBuRRh21Li+uxgLVel1wYXFFUaipaafY50mkT6KN138xjoKKenLL6omKMNAnMTJo/yf0iWVCn1gaXF5cXo1Ikz5oFZRTgaIofPmHmfz06W8pwcDRkjpcHi9mk570ZDupiZEoKHi8Gpt2HcXV6qFMCEFDaRFJcT+eIgaS0wNpOBuJiTRCk4aB0ILM6vzZn11EdW0DHkWlX+9Y+vWKoczpbaN60vT/CLOBIX3jqahuIMbRkohuNOg5/8LJLPrfN77I2Q4YTUVvICIlnZhevXn/nqnEh1kQuLPRhAiryHFxtYsM0/GVNtOEwnWjUpnR18nSA6UcrXZiUBU+eeNjNm319xjwzSbS+2divO4iP8OpVxXmjU3h2VVHcLq8bNtbzMQRKQRC0wS19S5yj9ZQUOUk2d59hPKToywkB6mhGQizUYeZUzvDDMUr86fy2y/20z/Tp1nb2oVeW+dm465Caus9gPCFAjQaTb3wEBvZff4ukjMDaTgbmTMxnXVZviADRdWhGoxo7tDi0V5NIzu3hM3VUFrvbjaQwZ7+VVUhMTaCxFj/UPzi8np211mJ7NWfmkP7wg4SMiel4ug/lKgIAx/ePemUGU3wRWg29XpfVh5ff7eFispa4mPtnD99FD17JADgDkMBp6rezQfrc1my8yj1bo0BqXZ+cXYmyQ4riqKQZDdz/ahUAK6554W2RrORnL2HWPzeYv56yQC/7a7GPhgNOiqqnazanMfYIUmYjHqfqITw/a0qqhvYtKuIXmkODpbVdSvD+WPj2PXv1r+hSKuRKaPSKCiuIfdICfk5hegsVkxRsaRH0SF9XImkM5CGs5GZQ5NIi7ZQWNmARxNEpKZTkx1YQL41RqOew+XVYQfiHHtcdY2TH3YUognBiEkjWJd3CLczvGoPUREGHr5yMHMmpWPSn9qbh05V8Ho8/OnZD1i+egc6VfVV20Dh3UUruXzWeO6YdxGmEAuGR0ur+L+31/DJARfeVmteWw+VsWZPEYt/e47f8UWlVXy9MrA2axNZO/ZTXduAzdryUHG02oWq+AxnWpyVvJJalq3NISEmAofNhBCC4rJ6KhtdtMkJPnehpOuwmfREmfVUNAQOX9bpVNKS7BSX12OOTwKhYW8oIjE9/JQiiaSzkIazEY+mseCyQezJr+LZr/cTkdaThqJCPHW1BFrrVE1mUqMjiIuPpnJH+XGd0+vV2HmgBE0TOGwmzO7qsI0mwG9+Moa507qHTqeqKLy6cDEr1vgMmVdrcnX7xu7jr9YRG23j/91zScDPv/L+99z39CdEj5mKotO1ecAItG77wtvfhtW3fyxcgT2jF4s25VPT4CHWbsJkM9Mj3sot03rxx4+2IwQUldVRVOYfwJSZ5sBi0tMvPvyE/e5Ekyyj2s3zeVVF4ew+MXy0oyjgfk0I3G6NoyW1GHGTGavSa/BE9A3hVLuVSDoXaTgbMev1TB+YyJC0KP65ZD/oDcSMnED1oX3UF+ZCoyHQmS1EpPak+uAe7pl7Gd9nl3eoqJEQgq17inC6vZRXNTQ1S3qyndr8I2G3YzToue7i8R04c9dSVFbNB1+sC5ne8eZH3/HUnRf6Mu5b8dnybdz553exZvQJaDQhsIu3uCy8teCXlmdjSGypWVpU1YAmKqlOsTN7YCJXTc3k0/VHqGs121FVhV5pDvplRDM0KZI46+mlh3qwtI6l+0vZUViDV/jUlM7uHcOEDEe3NaJn947hUFk9W/Kr/cQeRKN4dHF5LWeP74HJaEDTBA1OD3+7XM44JScfaTgb8RX3hQSHmctGp/HJxlwwGHD0G4ytV3+89bW+tU9LBLXZ+7nnpvMYMnYI724tBMDldJG96wA1lTWYrRYyB/XBYvUP3hDCF1KfX1zb5vz2SCNKVPjRsP/9v3k4bMcXZNMVLFuzu41+7rE4G1z84fVV/PW2s/22P/HKV6iqgjkuIajLe+OhMuqcHiJMLV/ZYf178Nana9vtm9dgRtfK7jYZ0P35VXy+JY+LR6YRaTWxM7+S2jo3er1KXHQEBr1KjFnPT4eHl6jfXVifU8l/NuajKC3XWlDl5K3NBSzPKsOsV/EIQUa0hamZ0aR0k7Vbnapwy7hUNuVWseJgOQXVToQQ1LkEigIpcZHNWStut4f7p/fEHnF6PdBIfhxIw9mIQkvNv4euHEJ5rYvlu4t8yeZ6PTqbHYFCutnNzXdeQLXZyjuNRnP3hu2sX7Iar8eDoqoITWPd4pUMnTSS0WePbw42qap1sS5IUWmvV5CUkUKEzUpddVvD2oTZpGfJv+5mzJCeXTAKx09+RXg5mh+uy+HRuZ5mQYHCkio27coBCCgU0USdy8t/vj/Ez8/t0zxjmnvlZH7/zIchDbZqMmOIig26/6ttBVw8Mo2zM2PoH2flQFkdNW4vFr1Kr+gI0u1mIk3d82eiCfBoLcZRp0Cdy81/N+XTGHjaTNN/86paUmuOVDTw3cFyZg9N4Jw+wcdICMEPOw/zxsdrOJxXSlyMjZ9eMIbzJg1EDfE3Ox5URWFMDwdjerSkmNS5vLyzKZedBdWowNQ+Di4anISuk88tkYRL97wjnAJUFRTNV1bKbNDx/LwxbMou59NNeZTVuEiOtnDZ6FSW7Szkh7w6tEjf2tGBbXtZ8+V3ze2IRt+r0DS2rdyI2yPIGDGU3KPVlISoblFYUkuUPYZJF57F0ne/aHuAAoqi8vFzdzB6cM9OvvoTxx0R3mzZ6faydOdRLh/ti4qtq/fdyBNibZg0Jy7NGtSA/uOrPcSa4aopfX06q3odD91xKQ/9/eOg57P3Cy1yX1nnpqS6gUSHhTS7mbRWkcmaEDgs+mbhiu6ER/O9WuMVYNTrGZ5sZ3MrFaxgNBncD7cXkWQzMSixbQUfr1dj/h8X8sYna9HrVDxeDZ1O5Z0vNjB5VG8++scv/QKvuoIIo46bJ/w4SuNJfhxIw9kKgwpurSWlZHRmDKMzY/yO6Z9sQ6eq1Do9LNpZyLt/C+0q3L1+C6X6GFS9IeRxR45W069nND369WTmtRez7utVVJa0BB3FJsUz9YKpjB3eG5cXjKdAmDsUtoQ47HExVJWE1g2t2L2FnfuHNhvO1MQoIiNM/Pzq6ewvqmZFafBZhFBUnnhrBTleHWN7ROEw6xk5eRQX5tbwxcfLwduyRqno9UQNGIYpNr7dvgdalhVCoAA9Yk5dik8wmmaawZgzMoWcinpKw6yooiqwdH9pQMP51L+/5j+f+L7jTTN7b+O/a7cc5BePvMnCp37WwSuQSE5vpOFsha7xnu0OcVNqcg9ZTXr6GNwh3aoAaBrO0mIsiYGT7FsO8+UPKopCWp8MUnunU3a0lIqyCgpySxCKQl5RFdvyKhiRFo3LC93Jg2g16Zl08Tl89Z+PQAte5kkRgs+/XsP9V43GoFMxGQ3Mu2IS1148nroGF5/f+yaRmf0RmtY88xRCQ1FUag5nMf68EeRXOflk59HmNhMG9iO5zEBDRTlaXS26iEgs0dGYDCp1ztAlp8wmHVqjko7WlMOp+GZvMTY9jojQDzwdJb+qgfJ6D3aTnjSH6bj0hEMZTaWx0OWkntF8uitwhOqxaAL2Fde1Ee5wutz8/b/Lgga/eTXBx8u2cDi/lIyU4K5eieTHRje69XYPdKrvxikArwY1Tg8WY+BhKq9qx2g2UnvkULuG02oxoG9VkVcIwcY128ndsdtvSnTOl9/yq59dwqM/m4HWeJPvDoxJs7MhPZGojAwqDh0MepwQgi1b9vP7z3Zz3zl9UN0ukuMdvPL+d6Qnx/DnG8Zz/wtLiUjtiSHKN9t3V1VQl5vNr6+fQr697QxSryr07xHFAVXB44jGpFe5Ykwqv5zRm5tf3kB2SR3eIFqAsVEWFm7MIc5mZniKnQiTgWqXl4k9HQxO7jzpwgMldby/rZDcypY1xoRII7OHJjAkqWPnCSVrCL4gm96xHUufEbQt1b1p1xEqqttJ9xDw9apd3HrV1A6dTyI5nZGGMwCK4ruBHC6rJTnaGvS4XmntuwEBPDVV1OQcJDK9V9Bjjk3j+PrDb8jfvbftcV4v/3jpYyxGPX+YO/2EDGdpjZOPf8jjcGkdDouBi0em0P84jcWgxEh6RpuJsZuoaJz1BEMIQVF5DT995D1+WLEBTRPodCoerxeDXs/t155NTZ2TZWs3gRBMG9ufW35zM/VmK+9ubRtcdcv4VEZcMRC3V6OmwRd4ZGh0H/zrZ2OZ88+1HK1sQNM06o/mU5+fQ+ygYZx91gDMJkPzLGtHiW/W9btzMukR3Xl5m/tL6vjHysNthqS4xsWLa3K5dXwaw1NOjb4w+L7r6VHmNmkq7jBqqSmKgksWkpacYciwtBCUVIcW9+6Tkcj44cGNYWtqc4LPwgBq6tw0OD2+lJXquoBGszX/78WPwy6JFYg3vs9mwsPL+POi3by9JocXlmUx6y/fMf+NTTjDuBEK4ZuRu72+lyYU5k9KZ0BGfLsaO6pOZd/Wvaz9Zh0er+ZLbvd4EQJcbg9/e2MJQ/ulsel/D7Ppo0f42+/mMLRfKhuOVLS00XiS8/rGMiTByterdvHC28v5aPEGyipayq71jLey+IFp/Pbifnj2b6Vq73ZSxoznwvOHYTEb22gKq6rKk8sPU17bOcLuQgje3VpIYyqi/77G1ztbCztUcq29hyUhBDmNgWjhPFcJ4Jw+MW22D+6Tgl4X+hahCcHowelhnEUi+fEgDWcIwrmXPXX/1eG15XG3a+iyjlSgKAo/LP+h3fa8bg8frQgtNxeMzzbn88j/duLRhC/QxCuaXZlfbS1gwbvbQ35eE+D0+taCvcL38mi+qN/5V04O+VlFUcgc1IftqzaFPO7xFz7F42kx4C6Plx5RZqItemwmHYMTI7ljcg9iGioYcPHDXHbH8yx45iPm//Ftes/8Azf94b+UVvtKj9ktBgr27KW88Cgxvfswe8bAdsfoyeXZ7R4TDrmVTrKPVrJ97RaWvP0ZXy/8lK3f/0B9TUv6TlWDh71F4bn9AfTt/GoVRWFqZhQ3jU5hVKqd4cmRjOthR1X8jW7T/6dlRjE6zd6mndioSK6eNQZdEOOp06kM7ZvK+GHdQ71KIjlZSFdtCIak2TlSWkdqtCVgKSavJrBGRWGymHHWNwRo4Rh80T9Bdx/OryLCYqCqNDwJv407srn6nCFhHdvSBcHfvtrnp8zSGk3AxxvzuOeCfvQIsE4mBLhCTEjHD0xh7lVn89p737TZp6gKRpOR+NREsrbvC9nP4rJq1m07xORRfdApYDPpuHp4Ele3EiPYtCuHS27/Z3O0p9Zo/L2axnufr+PzzXncfP0F3DWzDy++uwJNCH75s4soqA/tghRCUONqvzpOOHyzYR/v/f0/uF0tEa65WUfY8v0PnP2TWaT36wlAWX14EbDgM3h6NXiQkEH1BbGNS3cwLr0lH/L8/nEszypja341Hk2QHmVmeu8YhiQFL0v21G9ms3l3DnsPHfWbFet0KlE2C/95ct4pKZgukZxKpOEMQYRJz+Mfb+L5eWPwar6giya8moamwWd7i4lLSSAvKyd0Y6oaMsG/id1ZpTi18BwBmSlt3Wvtcai4lqx2ZjeKAou3F/Kz6W3d0KGKmyiKgorg/lsvwGq18N8Pl1PZKoAqs1caBruNDUvXhNXXmto66lxuDpXVoyjQJzYCu7nlK/v4i5/j1USzwTyW2vxc3vtuH1+sO0BFdT2qqtAvwUbB4dAPJko7a7ThUlhSxb0Pv47H3WKodWYLxug4FEXhuy9WcUlsFI7YKCKDBKAFQ98YxOZtJYCgKi3BbYFIspn46YhkftqqzFp7xDisLH/jPl5673v+9cFK8osriLJFcMOlE5h/7XRSE6KCfrayup6Fn69n6ZrdeL0a44dlctPlE0kJ8RmJ5HRAGs4Q1Dg9GHQK815ax/0XD2RIj6jmfduPVPKv5fuo83oYedbYdg2nJTE17POakzOoyW3HEKNQYYxq55i2tJeeAT71lmDHeTXapC349UpRiIk0ceWFE7l05jh27suhvsFFXIydx//xAYc27w57bdZtiuChxQeaZ8aq4ovevWZEMg31DXy1cmc79k2htjAPLcFnKGJiHMSHmV5y4mYT/v3hKhqcPhe9otPjGDAUU1xiS+8UhbXbCjlropVBicGD0IKhKqCehKI49kgLv7l5Jr+5eWbYn9mwI5tLb/8nlTW+tVYhYMma3Tzxyle88cRcrpgxsqu6K5F0OdJwBmDn0Rr2FNViNeq5YEwPPl13hGueXUVGnJU4m4msQ3kc2LwdV0Up4HNBOuKiqCypCNie0RqJre+gsM+vt0ZisDlwV1cGPcaSksa763K598IBGNtb9GpFWkwEelXBEyKnwaMJegdIhm+iPddc0269XsfwQb71r5ffXExuXlFYRlNRFDJ6JmF0OBBHS5q3awI2HKmipNbNFb0j258UKqC53agWK6rJREO9E02AWafQEEZd0BPli++3N8+Go4eNwWB3tBk7j6pn1eZ8yi7sR6Kj+4ktNOH1auw/XITH66VPegJmU/AHkLLKWi65/Z9U1zb4/Y18ucpebvjta6xZmMDQfuE/TEok3QkZHHQMm/OqiLEYuWhgIlN6RjNzYAIv3jKWL+6fDsDKjfvZtXxFs9EEEJqguqwSs8lAQlzLmlKExcSU6WOIGj05LE1Pc6uCvNEjxqGzBjZextgE7H0HU1HnpqCiY2WVrGYDF45I8XM7t0YBoq0GzhuSGHA/iKA5keCbjTYcswjq8Xj5dMmGoC5Vv/MrCqpOx4jzprJ4X0mb/QI4WFZPodNXTzMkQqAzW1AUBWtaJjW19eRVNXB2z+h2+6F6TjzFwunyuWhNsQkYHdEoStvvgKKoON1e/v3doRM+X1cghOC5hd/S78IHGTn7ccZe/QQZMxbwh79/Qn1D4BJ4//lkLdU1DQH/3kL4vmPPLQyvJJxE0h2RM85W1Dg9pEdHYG4sCt06FD812sK/bx3H0Es/C7j+pWkCl9tDRmo877zwG799Ly3bz4o9oVVcYqwGKlsFiKg6PaMuuZAIbw37fthOQ109FruNuL59KaprMRiGdtIFWiMaI2Dvu2gA6w+WUlzl9DOCvqhLhafmjAg6i9WpIEIkOSiKQnG1/w21vLKW2rowgqeA1N7pjDl3AjGJcY199hlqr1dganywUIDNhXX89MKxLPxsfXCRd0XB3Cg8EZHWkySbwuqtB7jh7GEMibOyoyT4Wu91o0ILVoTDxOG92JVVgCUxxU8JKRCLNuaz4JL2o31PNnc/8R4vv/+937aqmgae+c9S1m07xOcv3oHR4H8b+er7HSHTazxejS++29El/ZVITgZyxtmK/CoXFoMu4GxMr1PZvusQnobgBkDTBBu2HqCwuCX4RAjBVePTQ+rKnj0wnr9eN4LW9/9BPe04qEWvwllXnMsVv7iG8396AWPG9GXKqBYXl+s4ZkYJdjPv/WoyPxnXA7PB9xVQgMn94vnv7ROZNiAh6Gf1qsK6HN/1tRSrbnLDCUprXJTXtORACiFCuvWaUWDA6CHMvPbiZqMJPkOsUxUO5JRTUOzLzxRAeYOHP9x2EdEOK0qQ2bMtsx86o69kVkJMBFMuOZvieg8rs8sYmmjjiv5xRJlaHkJMOoVoA5RX1DMxRLWQ1jTls3q0pvXfln23XjUVTROoRlO7gWEVdeEXMD9ZrNt2qI3RbELTBKs2HWjWsW2N092+cIIrjGMkku6KnHG2IspiCFnk98CRIhRFaXedLr+wjKR4nzuwKVimb6KNfYVtCy8rCpw1MIHpAxMYlGJj55EKPHkHWP59NlqjJW3KfZx44TRMFjP2SBO9ejg4eKSSQ8V19IwPvh4ZjHi7mUdmD2XBpYMoq3URadJjs4QXOGM1qPx3Yy4jHSpD+vhmZllHinhh4bcUVzUw+6JJZKQlNI5FKWeNSGfyyN6s2XowuLtWQJ/h/YOeMzHWyvrtBUSYDUTZTESb9fRIimbxv+5myi9epq64RbtWNZmJ7NmXiOS05m2VNU5q6twkpadwsLKew5tyGJEew6hkO0JAcZ2LfWV1HCpt4P9dHt7Mz6P5CmwrioImBKqi4PZqOD1e4qwGhvZL5anfzObxT/chtKiQxjMlqvvUVm3i1Q9XNVdECYii8MoH3/Ozn0zx2zxuaCYbdhxuFoM/Fp1OZWw3K4snkXQEaThb0Z7bMyrSElZwS4SlbWHgiCCK7EL41G0ARqQ7WPnlMlwVZX5TFyEEB3fuJ+/gES648TKiE2LplRbFwSOVRJiCr/PVu7xUN/ie7O0WPWaDDhXwtoqKNRl0JB9z027P+zs6zU5WaR0X/PJZcDlRVZWqmpa11s+W/oA1woQQEB9tZc/nj7Hg57O45PZ/BmxPURQSM1KITw28rqooSnNpry17jjJmSDITe0YBkFXhxT54FFZng6/YuE6PPtLeJgjH5dZYt62As8b2wKDXIVSVJbuO4tUERoMOj0dDCMHFI5JIiW7fiDWV9Wo6T9MDl15VMJgM7Dxay+BEK3dcezZKZBT/79v8oG0pCsyZ1P3Ud/ZnHw1Z61QIwcEjbdehb/3JFJ59K/gaptercfucszqljxLJqUC6aluhQMjAl5mTh2DQhw5IiY910K9X2/Wxo5VtXbyqAkkOM1P6+VyThUfycJWXBs0hdNY38PFL73JkXzYGvYrZoDIqQKCLy6OxM6+GLTnV7MyvYcWBcj7dXsymnEpK65x4BQHXoDQh2JZfxb6imjb7WqMoClcPT2JonyRqG1x+RrOJ2jonTqeLfj19xvDcCQN55dEbMBn1PkOoV5vXkBPTkzn3qllBo3U1TVBV63Nl1tZ7+O6HIxxpnL1XNpbO0pnMGKNiMdjaRq42j4vbS35Ry6zfHmkiNspCbJSFxDgrSfGR7CxqvyC3EL6ZZrCxEUIQG2HkUJlvXG6/ZASXjEwOuDKsUxX6J9mYM7H7Gc5ohzWg8Edr7AFqcfbJSODZ31+DovjHCTQtgfzqurO5YGrHhDskku6EnHG2ItKk4tGC3yhioyP55Zyzefa/S4Pm+d3803P9Imi9muDA0eo20a+q4rvJPjVnGDpVQROwfOW2sPq57P2vuOpXN9AjztpmluzxCnbk1lDj9LAhv4pDFfXNfV1xuJwMhxmDTuW6ManYTHq8mmgWtd+cV8l7WwtRFfi/C/uFTHNRFIV7rp3O1T8EVwDyasLPjXfdJeO5YNoQ3v58A7sPFuAUChWOROLTEkOmuKiqQk6rwsxCwL1vbWFgij2gulEoCoprcbk1DudX4mqsH2ePNNInPZoIs57c8jqmPPYNqqIwtX88N07NoF+SzW+NWhOhU3IURSHKYmB9TjmZMb6o3qevG0HPeCuvf5fd7AXQ6xQuG5XCQ1cMxtqdasQ1ctWs0Xz5ffAgHp2qMOeicQH33TJ7CgN6JfP3/yzzCSBoGmOH9OSO687msnOGS7UhyWmNIk5EKfw0oqqqCofDQWVlJXZ7W11O8N2QGzwaoCBocb+1Tvj3ejV+98yHvPLedyiKT9rM7fGi1+u49brzueriSc3teTWB26vxyIfbyCn1n8lEW43cPWsAl49Oxm7R49Eg9bwHqSoLT25v8KRRTJ42hr9fM8xve355AweL61lysJTSencbA68ABp2C2ysYkmQj0WbE5RXsKKj2k327dkQSkzNDp21omsb19/+bj7/Z2saFrShw6dnDWfjULUFTcZ7+LpuDpS2GvakN5Zhx33+4nP3HqP3oVIU5E3vwyJVDmPzYMooqnWGJFuh1Cp4QOZw6VWn2OjTNkP567UguHZXcbDyb3LTt8fbmfOaN9fc+NLi8bDtSiUfTGJhiJ9pqDKPXpwany82En/4f+3OK2qxX6nQqtggTG97/HWmJ7af3nArC+c1LJMdD93vMPYUoCpj1Kh5NUFbrxhFhbNze8nSs06ks+PlFXHTWMFZu2k9dvZtSF2S7Ixk0om/zcZoQbDlczjtrs8kra+vKrKxzEWcz4nRrYPEZ7eioyLAN54EdB7hjblsll6IqF4cr6ykJon0qAFej4dheWM32wsDtr8wuD2o4hRAcKK2juMbNPXfOZlDfVF58ZzmlFb70jtgoK/PnTOc3N88MajTrXF6ySv3Hxe3RcHs0rI1BSlU1LrKOVFAYIG3EqwlW7C5Gpyo8cNEA7l24NfCFtEKBkEazqd1j/3/fws0M6eGgd0JEczvhUB4gUtZs1DGud8elEk8FJqOBL1++kzn3vcLabYfQ6dTGMdTokRTNe0//vNsaTYmkK5GG8xgUxTcjS7AZ+X5fCeN6t6RG7Msu5I/Pf8oXK7ahNbo4zx4/kLPOGc/y1Uf50yc7ibYacVgMeFWod2vUBjFgmoBNh8qZ2FjOSVEgNj2dwwePhNVPFY0JGW1vWm6v4EBZ++t07VEeRAh9f0ktb24qoKS25bqMyZm89Nwoepq8KIpCn/T4Nrl9x+IKEHRiNOgoLKll1eY8EKJdI6cJqHN6eHbJAVSl/QLPJ+JaWbj6MH+4bCBKY4WRercXk14NGIWtCUFhtROb+fT/eSXF2fn2jfv4Yedhlq7ejcfrZdzQTGZMHBCWqIdE8mPk9P9ldxGKApN6R1NS78Zh1rMrK59ZtzxNvdPdnFIhBKxYv5cVG/bhGDoGY1QMdoeZ3unRzcn6AMXldezcX0JdQ4sxUgCnx4vD4vsT5JXVka9FYrbbaaiqoj3SkmLpH992fc+oV6h1B/YjCiEoKqujuKwOTQO7zUh8lIWSinpcbo0Is57EOCt6nYopwPrmobJ6nl2Z08ZAubyCL/aVccGAOC4eGF5xb5tJj8WgUn9MX9OT7VgtBrbu9cm7BUOnKgzq4eCVFYfILq7tFG3ZYHg1wboDpWgCdIrvu6E2nrEpDaUJTRNowP+2F3L54OD5sCeTnQfyWfj5eoQQ/GTmaEYN6ngg0pjBGYwZnNEFvZNITj+k4QyBXq9jXXYp5w2I574n36W+we2X9A8tIgCVe7cz4SeX0j+zbeJ8rMPCpJGprNqUR73TZzwF0C8psjlqcUduJagqM6+4gC/f+gB3O8IGC26eETDAItFhwmJQqT2mGHV9g4cNOwqoqXM3r9XltqQ+0lQQRLe/hMF94pg0Po1j+WRnEVqAgsxNLN5bwlm9orGFEeiiUxWm9Ixm6YHSNkHEsVEWxg5J5vuNuUE/79UEdTodr6883K7R1KkKIwYmsHl3UViyfwE5ZqgdFj37imvRqTpSW2nMHqmsZ9HOIkan2egT17HApc6msLiSc29+hoO5LSkjz7yxjNTEKL7+1930SosL8WmJRBIM6Wtph+925LNi62HWbT3Yxmi2xltfh8VTxeYV6/ngn2/x/rP/ZfXny6kqq0RVFfQ6lT4ZUX6faWilnqJvNKA6o5Ff3nRByD6lp8ZRqtgC6tTG24wMivevtKFpgnXb8qltTN0Qom3GS9N7rybYtq8YwzGGu6zWxf6SupBGSgjYlNf+bLmJocmRWALMbCurGzh4pAJHYyWT1jaryegP7hOLw2bC6W5fOclo0JEYayU5zhpSwSkYqgKT+sa1KdfVL95KpFHhmwPFvLUpjxdWZ7PmcDlXDUvknDCVh7qK2jonQy9/zM9oNpF3tILRsx+npLytIIdEImkfOeNsh8tGpnLzX78M69ilb3/h937Pxp3s2biT8edPYfD44aQm2Nh5oNS3PgocbFUXc2yvGPQ6hV15lfzyxnEcyS/hoy/XNs8Em0hNiuGJ38/jkUV7eO27Q3x416RmAQXwza4uGZLAruJaSut8UbWFJbV+buJweHFpFleNTWue1f5jaVZYnyuuaRsQc/BIMSUVtaQmRjXXb1y2v5Q31uWiILCYDega02qaImhbR7cKfMbTYtQRHWUmI9VBlM03y4sw66lv59osjWuNmT2iyC8OnaN6LAq+dJg5EwPLJibaTFw4IDz39MnkwWcXUVPnDLq/weXh1099yOt/nnvyOiWR/EiQhrMdpvSLo19KFHkn0Ma6xSuJToghJbMHZqNKXYNvltQ6dy8m0sjV43rw9pocVu0r5va5FzFj6gg+X7aBI/kl2KwWzp40lMnjB7F8dzHVDR50qsKv397KB3dO8jtfhFHH/Wdn8t+NeWwvrOVoaejC1YE4VFzLnoJqBqbYKaps4N3Vhzl7fHrI/DsBrMquYFqvGBIijSxfv5c//OMTNu5sqS167oQB9Bs7ki/2VuNsrKKi0ymkJ9uJspma006OFaJQFHBpgsF94tG3mqX2SLJTWhFaQD492ZeKYLcaGTM4iU27CgkhiNOMTlFQVPj79aPoeYrdrh3lnS82tHvMom/bj0SWSCRtkYazHVRV4VfXjOf7xSvwOIM/wbfHqs+W85M7rm+ugymA84cl+R3z4OWDWLy9kNe/O0iszcSQvmn075OK2koLNaeinqV7fZVWvJpg46Fy9hdW0zfJ5teW1ajjtonplNa6+EVuBQXFHTeeVY0RwZ9vLcDl9lJcXk98tCWk8XR5Bf/ZmM9gtYaf3P1SmwXRb9bt5Zv1+4kZOQGDzWfQvF7BodxKdLrg7WoCNI9GXlENGSktOXlJ8VZiC81BjWesw0xSqxl5QkwE0wYnsnzH0ZD1PJOjzMwalsz1U3qSGRdxXC7eU0mo2WYTTqcUWpdIjocTWuN88sknURSFu+++u3nbyy+/zPTp07HbfXqhFRUV7bbzyCOPoCiK32vAgAF+xzQ0NDB//nxiY2OJjIxk9uzZHD16NEiLnYdX03j1+8NE9uzb/sEhqC6vosHpweXyTXWGpTsYc0yepNGg49zBibi9Gu9uyuWb7DL2Hq3khYVLufePb3DH4//hrW+2Mqx/POnJLYZyd37wdcVYq5HxvaIJYZOCkhbjm2VV1LpRFYWKKp9x0jSN7as38cE/3+KdZ15n0avvk3sgp1nAIKukll888hZCiDbSfkIIhOalct8Oqg/uo2jVMgpXfEXR6m+ozNqH5g5dJaSs8lgFJoUxg5PomWr3k4dTVYWeqXbGDklCVZTm9cmhyZHsPFwR0mjqVIVxvWJ46IpB9Io//YwmgNXSvrCCySifmyWS4+G4fzkbNmzgpZdeYtgwf+Wauro6Zs2axaxZs1iwYEHY7Q0ePJilS5e2dEzv37V77rmHzz//nPfffx+Hw8Edd9zBlVdeyapVq473EsLimcX72binGFNSGpEuFzXZ+xur8SpBNWWDsSurpfj1i3NHt1LI8SnRlFTWk5dXhKoq9EmPZumyDaxbvNJPlWfX1n1YHZGcM+dScgp820zt6OfOmZjOC8vCW6ME36VN7htHaqPYeWqMBY8miDAbqKms4eOX3sHtbDFwddW1fL3wU+LTkrh43pXkZeVQXBY68MRTXYmnurL5veZyUpN9gPrCPGJGTkRnaiuUHwydTmVQ7zj6ZcRQ1VjSzB5pwqBXsZv1OMx64qwGJmVE0T/Byl8/2B6yPa8mKK4+fu9Cd+DqWWOClgRr4uLpw0Lul0gkgTmuGWdNTQ3XXXcdr7zyCtHR/rOmu+++m9/+9rdMmDChQ23q9XqSkpKaX3FxLaHylZWVvPrqqzz99NOcc845jB49mtdee43Vq1ezdm3beoCdRXmti5cag2IURSEyozcJE8/B1mcg1rSe2HoPIHp4YK3OY1EUiG2VEP/mqsPN//cK+M8Xmxi/YBGrcp0kx0dyePcB1n71fcBqLLWVNSx782Ni7UZMepWJfUNHcKbFRPDwFYMB2p15KoDVqOfhKwc1b7tweDIWgw4BfPrq+35GszXFuYWs+GgJ1eVVxz1L8zY0ULUvuD5qnMMSVLlHr1eJibIQE2VpXgftExfBA2dncsu4NAYmRqIqComOtsLkrdGpSlgVUrozj991WchZp8mg56/3/+Qk9kgi+fFwXIZz/vz5XHTRRcyYMaPTOrJ//35SUlLo1asX1113HTk5LQElGzduxO12+51vwIABpKens2bNmoDtOZ1Oqqqq/F4d5fMtBXiPMVyq0dhsNK09MnHmZ4fV1rihmXx491SenzeGCKOOTzb5wo2EgJWbsnj4kz2oZp9r1GBQWbt4Zcj26mrqqCsq5MapPbGHUUfzpqk9+fetYxnVyj0cYdQ1l+sCn9E8e1ACH98zmT6JLa7gSLOeh64cxMFdWTTUtk2Bac2hnQcwmQwdnYy3QuAsLcLb0FYU32rS8dhlA4kOs26oAHrHtjWAcyamt0ktaY1XE1w1rkdHOt3tsFnNbPnfg6Qnt1WXSoq1s/79BcTH2AJ8si1CCDYfLufNVYd5d21OwDQoieRMosOu2nfeeYdNmzaxYUP7UXvhMn78eF5//XX69+9PQUEBjz76KFOnTmXHjh3YbDYKCwsxGo1ERUX5fS4xMZHCwsBiq0888QSPPvroCfWruMqJTlHwBLACyfFW0uPNfLK8KKy23vi/nwEwbUACT/50BA+8swXw3dwfe2M5BltLoFB5aVW7Bgrg6L793PbU1WGdH3xG8exBCdQ5Pbi9ArvFV+Irp6SO8joXKVFm4u2BZ2M/nZDOsy/8r91zCCHITLCxUq/D246IQyjc1VXozBY8dbWIhloMJiMv3TeTEWl2hqXa2Ftcy/qcStYfCfxApABGvcq4Ho42+66fnMH7645wpKw+YPTuBcOSGNvr9NdgTUuKZu8Xf2TT7hwWfrYeTRNcPWs0E4b3CruNrKM13PnfzezKq0KBxuIHcOmoFP501dCgdWYlkh8zHfrWHzlyhLvuuoslS5ZgNod2d3WECy5oSfgfNmwY48ePJyMjg/fee49bbrnluNpcsGAB9957b/P7qqoqevQIfxahaRATaWqOgk2NtjA8IxpNE1R6NaJjrRTlBVFIP4abr5xMYpzvBq5TFc4bmsRrK3xP+/UNLnbk1xKRpqE0an8WFYQn9O5scHHrqz/w4V2Tw74uaFtUOz0ugnTaT7dwWEKvpTb3yxjB8Cmj2bR8fYf61RrN1UDZ5rW4KlvG4oZf7eLh2y/mpssnMjAhkgHxViIMOpYfLPfTqlUV3zjfNiENi6Ftn+0WA+/fOYmHPtjB4u2FzZ+zGHTcODWD+y7s/6MqezVqYDqjBnZcZq+gop6rnl1NVX2L2hX4xnnRpnxKq128cdu4H9VYSSTh0CHDuXHjRoqKihg1alTzNq/Xy3fffcdzzz2H0+lEpwvv5hqKqKgo+vXrx4EDBwBISkrC5XJRUVHhN+s8evQoSUlJAdswmUyYOhBg0hpNg6IaF0t2FBIbaeSPVw3jrIEJzZqkmibYmFfJ65Xtu38VRWFgn1S/bR5N46eNhYsbnG5Q/D3mijE8V6TObGFTdgXrDpQy/iQo1Ywdmsm36/aGPEZRFAx2G8OnjkHTBNtWbkTTNBRVQWgCvUGPx91OGoSiUJ21F4R/smVBcSW3PfoW1XUN3HHt2SiKwk+GJTI4KZIVB8vJKa/HoFMZkWJjWq9o4kKU7IqzmXh+3miOVjawM7cSvU5ldGZ0t6yLeap4dfkhquo9AYu7awK+31fC2gOlTOwrpfskZxYdukuce+65bN/uH5E4b948BgwYwAMPPNApRhN8wUdZWVnccMMNAIwePRqDwcCyZcuYPXs2AHv37iUnJ4eJEyd2yjlbU+/W+NnL68gprePdX00mPc7qJ+StqgqjUx3EXjCUr9+Lp6SwOKiAq6oqXHbuSL9tQoPYSJ9Rj7ZbMHkbmmebAHqLFdVoQnOFjuy0ZfYD4IVlWSfFcF47expPvbo4YMBSE2l9MjAYDAhg1PRxDBo3jOzdWTTU1RPpsJExoBfrFn/P/i17grajmsxoDQ0EG9Q//O0Trr9kPFG2CBRFYVBiJIMSI4/rmhIdZmKsRvYX17G7oBZNgEcIkhzG5iLUZyofrM8NaDSb0KkKH/2QJw2n5IyjQ8FBNpuNIUOG+L2sViuxsbEMGTIEgMLCQrZs2dI8W9y+fTtbtmyhrKysuZ1zzz2X5557rvn9r3/9a1asWEF2djarV6/miiuuQKfTMWfOHAAcDge33HIL9957L99++y0bN25k3rx5TJw4scPRu+Hw1fZCduZVceXYHmTEW5sLGrdGVRV6xUbwk6vOJVSFxl9df26bIAyDXqW2MflcVVXmnjsAzeXyMyT2/kNC9tEYHdcsIBAqj7MzMZsMTLzorKD7VZ3K5Iun+38mwsyA0YMZMXUMfYb1x2A0MGHWNKaO7dd4ROPYNRooY2wCWkM9oYqAuTwePli86QSupIXSWhebc6qprPXg9gi8XoGiQXGFi6X7ytrkoZ4pCCGoDFISrwmvJigNILEokfzY6XS/1IsvvugXlDNt2jQAXnvtNebOnQtAVlYWJSUt4tO5ubnMmTOH0tJS4uPjmTJlCmvXriU+vkUD9JlnnkFVVWbPno3T6eT888/n+eef7+zuA/DJD7moClw1IfS6kKYJrj9vOPuPVrLy029x1jWgKApCCAwGHXfeMIPf/eKiNp+pcXqIiWxxx94/bwaf3fYS5dGZ0DhrN8cm4Bg0gqo92xGaf5CNOSEZx8Dhze/1oUJEO5EUu4mR44ZitUWybvH3VJU15mEqkJSewlmXzyDCZm23WkmC3cLzL8zni5W7WfDC1xw5WoHOZMGSlIqq11NSGjrgSq/TkXs0vHXgY2ltBz1ejazCOgKV/dQE2PQ6Xlx9BKdX0CPKxJSe0STZj8/9f7x9bV2Npqmk2clAURQS7CaKqoJ7PX4MaTsSyfGgiFB+tx8RVVVVOBwOKisrsdvtIY+9+P+tZGdeJev/eH67xYhzKxt45rtDaF4vR/Yfprq8ClukmSfnTqdnogO9rmVS72kUSP3zJzt5/CdD/JRuqmrqufWZr1lf5n8+oWk0lBbhqatBpzdiTkhGNfivgV4xJoWnr/N3B3cVn+4qYvHeUgQ+BSGvx4PeYEBpVOfJiDLjFXCkoiGoAT07M4qfjEhufp9bVsem7HIUFH7IKeEvj74csg+qovCXX89m/rXTw+63V/OJTLTuU0F5PYWVod3hDqsBvUFlT1ENq7MrOLdPDOf163q3uFeDQGVV9erJM6B//2of//h6f8gC4YvuncLQAJHL3YGO/OYlko4gy4oFIC3Ggk5VqKh3h3TVeTVBRaM7S9XpyBjQiyETR5AxdADv7CzhzVXZ1DRW7tCEYPW+Eu7+70Z+cU4vP6MJYI+08PJ9F2I8RqFAUVUs8UnYMvoQkZrexmgC3Dgl80QvOWwuHBDPsGTfeqJep2IwGpvXf+OsRm6dkMa1I5Kob2gqYdZY8Lnx7pudV8nj72+ntKbFYKXFRHDpqFQm9Y+jRBhI6pkacm1RURVmzxwVdP+xeBqN0LF/yeowKsbUNXhIj7Iwo28cC87pzfbCGrYXdG05rmBGE3zXEmiG3BXMnZZJemxEwKUKgKvHpXVboymRdCXScAbgmgnpeDXB8n3FIVYvfa6q9TkVAfe5vRpxBg+PfriNG19Yw62vrCO/vJZnrh9BRpw14GccEQZmj0sLmZx/LL86rw8jjqnz2ZXoVIWfjU/jtglpDE6MxKBplBRXo9Y6GWg3YlJVlm4rZPmGXLbsKaK4rI6yynryjlazanMeu7JKqaxz8/K3B9u0vbe4DoAx50zwGc4gxvOmn5xFUlx4MwitUc4w8L72LVDTIaqiYNAp3DKuB98fPD43cTiIEP1twqN1WO3xuHBE+NJ2Zg1L8vtO2sx67pnVjz9fIyX7JGcmMvY+AGcNiGPGkERe/noP5w1MID7S1OapWxOCrNI6dh0NXN/RXVVNrcfNszd1LOr3D5cNYn9hDT8c8s9NPBa7Wc9DVwxi9ilQuFEVhcxoC3//fA/LdhahU31u2s825vGnT3YRE2lEE4L8ohryiwKPz4c/5LHgkoF+25pmpwlpScy87hJWLvqGmsqW2Z1Or2fY5JH88qbzwu5rqPJhFqOOeldoK2UxtkSK+4wnJNhMuLwaRl3nP3cKQoVFtaCJ9uUTO4M4m4nnbhpFcVUDewqqMepVRqRHYQqQHyuRnClIwxkAVVV4fu4onvpsL7//eCd3zujL0GRbs0vSqwnW51Tw8c7CNjc5BTDqFD5++wsGzz2nw+eOMOl56/YJfL4ln3fWHCG3rI5Ym4nxvWOIsRox6FWm9ItjQMqpW7MRQnD76xtZtc8X4OXVBE3hS9X1nuaE+VDUNHiodnqwtcqb7BnTEmiSkpnGVXfeQEF2HlVlFRhNJtL6ZmA2G8mICb82Zqj1uXibibKa0JGj8ccEAylA3zhryHZPhHBnkic7MCHeHlxVSiI505CGMwgGncrvLhvI79/bzmOLdjEoI5re8VaEEBwqq6eosp6oCBMgmt25ArDoVdZ8uYKC3CLGDOl5XOc26lWuGJPGFWPSOulqOpctORV8v7ck4L5wb+iREQaqGvwNZ6rDTK8YC9nl9WjCF9mZkplGSqZvHFQFxqTZ/T7THk0ycYGIMOlJjjJTEKyWZ6QRu8X/XIqisPNAIa9/mosiYPbk3kwe2nmz/nCDfs7c7FKJ5NQjDWc73DGzD5f8dSV7D5WRnGDFqNdRWeNsLJwsmNDbQXqyL0Ai92Au/3l3MSAYO7Qnw/t3T8N3onyxpQC9qjTLER4PGSkOIgMYwHljU/nrimwqGzxtDF6SzcRVwwIrRQVDVX1KUMFIijJj1CsUVDTg8vjOaDaoJDjMxFgNfkFKWfnlzPnrUqqUFmGE/+3Zil1bw4cPzKBvaky7/WlKMQGfkTx2PVtVQhv71sdJJJJTgzSc7ZAcZeHDuybxwDvbWJfVIuJgNqhQks+ify/2CzLRqQrxMTbe+PPcU9Dbk0M40aihSIqzctaAOBwBUn1iIgwsOCeTldkVrDlcQY3TS7RFz+TMaCZlRGHSd2xdUadAe71NcpjYmVvBnf/ZzJR+cTw7d0ybY8qq6rn0/5bh1Zv9jKmiKFSpFmb9eRkbnriIGHtgN3JT0M+xEbEKYND5G0KDDlwh9PEN6snL55RIJG2RhjMMMuKsvHPHRLKKatibX43JoDKhTyyax8OrH/bk1Q9Xkne0gtgoKzdeNpFfXDONhDBLNp2OZMZb241INelVMtOjOJRbibPRChgNOjJTHfRJj+KyIYlBPxtp0jOrfxyz+p+4lJuigFEHbm/gWZxB9Rmt9NgIGtxelu48yrNf7+NXM/vh1URzUNgfF67FazAHTJNRFBWvwcJD/13Dc/PPDdgPtxZ4vVXgM5ImXYsxVIP0WaExj1PGwkskpxQpgCDpMCXVTiY+siyoq1anKNx8Vk9GD0jgqz3FlNf6AnAsZj2JkUauH5VCn7jwA3zCQQjfbM6vQkqrjJYmF2lrN+mxQgKXPr2SnbmVaALG9orhusk9GdkzGq9XMOuxz3HqAhtOX/sCk7uOnc9e3Xx+BfBqGkt2HOX99bkcrWwgOcrClWN7cNbABL9IbZ3im2kGuq6mUVaQM82OIH/zkq5CGk7JcfHmqsM8+MEOFMU/ElSnKmTERfC/uybjiDDg9GjsPlpDvUcj3mqkd2znC6drIrhr06gLfz1wa04F1zy7BrdX85sdRpp01NTUgaEduT1XA7v/Prv5bZ3Twy9eXe+XWqRTFbyaYFLfOP45bwzmVtay9axTcuLI37ykq5BOH8lxcf3kDF6cN5oByS0uabNBZc7EdD68cxKOCJ/CkUmvMiLVzsSMKPrERXS60RQhjCb49oX7aDg8PYr375zE+N7+knr9U+yYVS1kVRghNMyKfxTSo//bwaZsn1hCkyFuqjay9kAJ//fprvA61gGEENTUOXG1V7pNIpEcN3KNU3LcnD8siZlDEymoaKDe7SUlyuInGHAyaE9lB3wuXH2Y9npoDwcL508gr7yeo5UNxEYayYiz8utXvufDXcGr0CiKyoXDW9Zti6oa+GxzXtB8T03Ah+uPcOf5/YkOUTc0XFxuD8+/vYIX3llBTkEZigLnTRzIb24+nymj+5xw+xKJpAU545ScEIriq5DROyHypBtNCE+3NZR6UDBSoy2M6hndLI/48HUTMHnqA846hRAY3XX87qctJe42HCxrVyTB7RVsbpyRnohwu8vt4fI7XuD3f/uYnIKyxj7BsnV7mXnr33n78/XH17BEIgmINJyS0xIhfFGnJwtbhIFvHrmANJMH0SoxVGgaqUY3Sx6+EKulZeaohZnj2uS61atw8Egxcx9+m4FX/Ikhs5/kgb8voqisfUH5599ewYoN+9pEOnu9PvfyLx55K6x2uhpN09i0K4fvfthHXlHFqe6ORHLcSFet5LSjaV0z3Ki2zlpWTYm18v2Tl7Mvr5yPV2cBcNmE3vRMiW5z7PD0qHbbUxXfcUYdPP3Wd/zh6ff9FmT/cTCX59/8hvf+9gsumDwwYBtCCF54Z0XoKj5ejf8uWst9c8PX+O1s3ly0lsde+Jwjhb4ZtqIonD9lEE/ffxWZaSeediSRnEzkjFNy2uEVHdNq7aBmQkgUBfqnRfPA1WN44Oox9OvR1mgCpMdZmdo/PmhJLp2qcP6wJNJjzSxZv58//PW9gFFMHo+Hq+5+iYLiyoDt1DW4mt2zofq8Y39+O1fWdfzjzW+49eE3m40m+Az+ktW7mXrDUxzOLz1lfZNIjgdpOCWnHR1Zs9QFkLXrTBSCt/+nq4eRGm3xm/Eqja9e8Vb+dNVQAH7//JeEUp/1ejw88q+lAfcZ9frm4gNB+6gomI2nxrlUUl7DH/7+ScB9Xq9GZXU9jz7/2UnulURyYkjDKTmtEB2YbRrUwKICnYmi+M4TiHi7mQ/umsJvLhpIr4RI7BY9fZMiefDyQXx0z+TmaNo9e7Jp76q+XhU4dcVg0HHe5IHoQsgJebwaF08/NbUz3/3yB7whnnQ8Xo0PFm+iujaw0L5E0h2Ra5yS0wLfuqaGyyMw6Nu3hionT5pOUaCwsp64SBP6Y05qsxiYd1YvbpyaiV4FU4C8mHACidwhIqF+PW8mX6/aHXCfTqfSLyOBWVMGt3uOruBwfik6nYrmCd5/t8dLcVk1NqssWyY5PZAzTkm3RwiodXrwCiUsowknX8/1n0sPtDGardGpCltyKgLus8fFErpQmEKvXqlB904Z1Yd//+lGDHodqqKgU9XmvvTLSODTF+4IOSPtSmKjrGihytPge/CICiKOL5F0R6ThlHR7NAH6xrW88no3BVU+wYVghFp37AqKa5x8sDaHzzfnB4xu1YRg2Y5CXvj2QMDPz7l0EqFdtYLf3zIjZB9+esFYshY/zh/vuoyrLxjNDZdO4MO//4IN7/2O1ISo8C+mk7l61piQEb86VWHGxIHEOKwnsVcSyYkhXbWSbk9ReS2FDYLF+4o50lh0WlVgRIqdCwcmENVYnkxRFFR865onU/O1qcza/W9vZk9BFTdNzSTO5tO1La918ebKQ7zyTRbDewWu1/n4zdP4as1esrfvxK8aZ6MQ8EWXnc35YzLb7Ud8jI17bwptYE82mWlx3HzlZP79v1VtgoYVRUGgkDlsCFlFNfROiDw1nZRIOogUeZd0ez7YeITlOTWA/7xMVcBq1HHX1ExsRh0PvPQ1/7xz1knvX4Pby/Dff43L7XNJ6lWFjDgrigKHS2pxN8obXTM5gyd/MiRgG1X1bm7/x1K+WLqBhooyQMGRmMgvrjmLh6+f0OkavycTj8fLgmc+4sV3v8Pj1ZofCFSjieiBwzDHxuPVBNdPTueRK4cETeHpKPI3L+kq5IxT0q1Z/sN+VuV7AzoyNQG1Li+f7y7iogEJ7DxUeNL7B2A26Jg6KJFlWwsA8GiCrKIav2MUBX51bu+gbdgtBt584AKq75pB1tFajHqFfkm2kOumpws6ncrsK8+hwJHKDz/spaysBn1EJMaYOBRFaVZPenNVDm4N/nzVkHZTbCSSU4k0nJJuS35RBa8s201Uv75Bj9EEbM2v4pJBCaTbT1ws/Xj58+xBXHiojNIqZ8D9t87oQ2q0pd12bGYDIzKiOrl3p47v9xbz8Ic7OVRc69tgjcdqjQ96/AfrjpCUFMn8yRkYfgQPDZIfJ/KbKem2vPrhKnr3Tms30EcTUOP08Mx9s8MuIdbZJNjMfH7fFKYPTcTQSqooOcbCo1cPZcGF/U9Nx04h3+8tZu5L68kuqQ37M15NsGpfKZ/uKu7CnkkkJ4accUq6LZ+t2Mas2YlhGUOLQU+ERd+hEmKdTaLdzGs3j6HW6SG7tA67xUCPMGaZP0aEEDzy4U4E4ddDbcLjFXx/qJwLB8Zj7ky9RImkk5DfSkm3pcHpYffGnSETNRQgzWEmprFw9vGUEOtsrCY9g1PsZ6zRBNh2pJKDxbXH5QGwWY24vIKc8vrO75hE0glIwynptowb2pOvv93MiOTIoPIAApjV37dmdjpHnv7YKKw4Pgm9KJsJW6MU4RkR7i85LZGGU9Jt+cU103C6PLz/xqeM7eEAfDNMXaN9NOoUrhuZwsBEX/6fEOKkCh+c7hTVuPhg21Ee/voAD361n39vyCOrtK5T2o63mzp0vAIY9CrDGh+CdKpCD4eU4JN0T+Qap6TbMmZwBo/dcQkPPfcpN1wxhQXn9Gd7QQ0NHi+xViPDk+2YGtfAhBAoinLSpfZOV3YUVvPS2lw/0fyKvCo25lZxyaB4ZvU/sRqZI9KjSIuxkFdWH9bMMTnRSr+MGCLMBhRgfA87EcYuVuiXSI4TaTgl3Zrf3HI+wwf04OnXlxBpNnDBpLYFnZs0PPTqyZXaO105Wu3kxTW5bQxak9b8p7uKyYg2M/AElHxUVeEPlw3il69tDOv4WIcFq9mAANKjzcwemnjc55ZIuhqpHCQ5baipa2Dp2r0kxEXRJz0Bq8WEQKBXFYx6VRrNMHB5NB5ekkVVo0xgIBRgYKKV+ZPST/h8X2wp4Ff/2UR7BWASoi1cOTWTKT2jGJfu6JQcTvmbl3QVcsYpOW2IjDBz+TnDT3U3TmtWZVeENJrgc90eKOmctc4LRySz4D09VfWhz5kYaeSBs9vX45VIugNyRUgiOYP4/lB5WMeFUSI0bHolRIb0BuhURQq8S04rpOGUSM4gyurcYR3n0QRb86s75ZzXT84IaYi9mmDOxBN3C0skJwtpOCWSMwiLIfyf/Ifbj4aspRkul41K4awB8UFLvV07KZ2xvaJP+DwSyclCGk6J5AxifHpU2EFUpXVusstOXL1Hr1N5+ZYx3DmzL9GNCk8AyVFmHrpiEH+cPUSKV0hOK2RwkERyBjG9dzSrD1dQ5wpcqu1YKtsJJAoXo17l7ln9uH1GH46U1qGqCumxEZ1We1MiOZnIGadEcgYRZTFw79QMoizhPTNHWQztH9QBjHqV3omRZMZbpdGUnLackOF88sknURSFu+++u3nbyy+/zPTp07Hb7SiKQkVFRbvtPPHEE4wdOxabzUZCQgKXX345e/fu9Ttm+vTpKIri97rttttOpPsSyRlJkt3EI+f1DqnMowDxVgM9o6XsnURyLMdtODds2MBLL73EsGHD/LbX1dUxa9Ysfve734Xd1ooVK5g/fz5r165lyZIluN1uZs6cSW2tfx2/W2+9lYKCgubXX/7yl+PtvkRyRqPXqcwZkRRwX9M88KphSXLtUSIJwHGtcdbU1HDdddfxyiuv8Pjjj/vta5p9Ll++POz2vvrqK7/3r7/+OgkJCWzcuJFp06Y1b4+IiCApKfCPXSKRdIxRqXbU8fDhtiLK6lvSVOKsBq4alsTgJJlbKZEE4rgM5/z587nooouYMWNGG8PZGVRWVgIQExPjt/2tt97izTffJCkpiUsuuYQHH3yQiIiIgG04nU6cTmfz+6qqqk7vp0RyujMixc6wZBuHyuqpavAQZfG5Z+VMUyIJTocN5zvvvMOmTZvYsGFDV/QHTdO4++67mTx5MkOGDGnefu2115KRkUFKSgrbtm3jgQceYO/evfzvf/8L2M4TTzzBo48+2iV9lEh+TKiKQu/YwA+gEomkLR0ynEeOHOGuu+5iyZIlmM1dEzQwf/58duzYwcqVK/22//znP2/+/9ChQ0lOTubcc88lKyuL3r17t2lnwYIF3Hvvvc3vq6qq6NGjR5f0WSKRSCRnDh0ynBs3bqSoqIhRo0Y1b/N6vXz33Xc899xzOJ1OdLrjr6F3xx138Nlnn/Hdd9+RlpYW8tjx48cDcODAgYCG02QyYTJ1rJiuRCKRSCTt0SHDee6557J9+3a/bfPmzWPAgAE88MADx200hRD86le/4qOPPmL58uVkZrZfJWHLli0AJCcnH9c5JRKJRCI5HjpkOG02m9+6I4DVaiU2NrZ5e2FhIYWFhRw4cACA7du3Y7PZSE9Pbw72Offcc7niiiu44447AJ97duHChXzyySfYbDYKCwsBcDgcWCwWsrKyWLhwIRdeeCGxsbFs27aNe+65h2nTprVJh5FIJBKJpCvpdOWgF198kZEjR3LrrbcCMG3aNEaOHMmiRYuaj8nKyqKkpKT5/QsvvEBlZSXTp08nOTm5+fXuu+8CYDQaWbp0KTNnzmTAgAHcd999zJ49m08//bSzuy+RSCQSSUgUITqh/MFpgKwGL5GcWcjfvKSrkFq1EolEIpF0AGk4JRKJRCLpANJwSiQSiUTSAc6YepxNS7lSek8iOTNo+q2fIWEckpPIGWM4q6urAaR6kERyhlFdXY3D4TjV3ZD8iDhjomo1TSM/Px+bzYaiKM0SfEeOHJERd2Egx6tjyPHqGF0xXkIIqqurSUlJQVXlqpSk8zhjZpyqqgaU8bPb7fLG1gHkeHUMOV4do7PHS840JV2BfAyTSCQSiaQDSMMpkUgkEkkHOGMNp8lk4uGHH5YVVMJEjlfHkOPVMeR4SU4nzpjgIIlEIpFIOoMzdsYpkUgkEsnxIA2nRCKRSCQdQBpOiUQikUg6gDScEolEIpF0AGk4JRKJRCLpAD9aw7l8+XIURQn42rBhAwANDQ3MnTuXoUOHotfrufzyy8Nqu2fPnm3afPLJJ7vwarqWrhyrsrIyrrvuOux2O1FRUdxyyy3U1NR04dV0PeGMF8C2bduYOnUqZrOZHj168Je//KXdtgO1+c4773Tl5XQ5XTleOTk5XHTRRURERJCQkMBvfvMbPB5PV16ORPLjldybNGkSBQUFftsefPBBli1bxpgxYwDwer1YLBbuvPNOPvzwww61/9hjj3Hrrbc2v7fZbCfe6VNEV47VddddR0FBAUuWLMHtdjNv3jx+/vOfs3Dhwk69hpNJOONVVVXFzJkzmTFjBi+++CLbt2/n5ptvJioqip///Och23/ttdeYNWtW8/uoqKhOv4aTSVeNl9fr5aKLLiIpKYnVq1dTUFDAjTfeiMFg4M9//nOXX5fkDEacIbhcLhEfHy8ee+yxgPtvuukmcdlll4XVVkZGhnjmmWc6r3PdjM4aq127dglAbNiwoXnbl19+KRRFEXl5eZ3V3VNOoPF6/vnnRXR0tHA6nc3bHnjgAdG/f/+QbQHio48+6qqudgs6a7y++OILoaqqKCwsbN72wgsvCLvd7teORNLZ/GhdtceyaNEiSktLmTdvXqe09+STTxIbG8vIkSN56qmnflTuoc4aqzVr1hAVFdU8qwCYMWMGqqqybt26E+1mtyHQeK1Zs4Zp06ZhNBqbt51//vns3buX8vLykO3Nnz+fuLg4xo0bx7///e8fXT3JzhqvNWvWMHToUBITE/0+U1VVxc6dO7vuAiRnPD9aV+2xvPrqq5x//vkBK6R0lDvvvJNRo0YRExPD6tWrWbBgAQUFBTz99NOd0NNTT2eNVWFhIQkJCX7b9Ho9MTExFBYWnlDb3YlA41VYWEhmZqbfcU03+MLCQqKjowO29dhjj3HOOecQERHB119/ze23305NTQ133nln113ASaazxquwsNDPaB77GYmkqzjtZpy//e1vgwYaNL327Nnj95nc3FwWL17MLbfc0il9uPfee5k+fTrDhg3jtttu469//SvPPvssTqezU9rvLLrDWJ1OdIfxevDBB5k8eTIjR47kgQce4P777+epp57qlLY7m+4wXhLJqeC0m3Hed999zJ07N+QxvXr18nv/2muvERsby6WXXtolfRo/fjwej4fs7Gz69+/fJec4Hk71WCUlJVFUVOS3zePxUFZWRlJS0gm339l05nglJSVx9OhRv21N7zty7ePHj+ePf/wjTqez2wmgn+rxSkpKYv369R36jETSGZx2hjM+Pp74+PiwjxdC8NprrzVH23UFW7ZsQVXVNm7JU82pHquJEydSUVHBxo0bGT16NADffPMNmqYxfvz4E26/s+nM8Zo4cSK///3vcbvdzfuWLFlC//79g7ppA7Flyxaio6O7ndGEUz9eEydO5E9/+hNFRUXNv70lS5Zgt9sZNGjQcV6VRBIGpzQ06SSwdOlSAYjdu3cH3L9z506xefNmcckll4jp06eLzZs3i82bNzfvX7dunejfv7/Izc0VQgixevVq8cwzz4gtW7aIrKws8eabb4r4+Hhx4403nozL6VI6e6yEEGLWrFli5MiRYt26dWLlypWib9++Ys6cOV19KSeFUONVUVEhEhMTxQ033CB27Ngh3nnnHRERESFeeuml5mP+97//+UWNLlq0SLzyyiti+/btYv/+/eL5558XERER4qGHHjop19PVdPZ4eTweMWTIEDFz5kyxZcsW8dVXX4n4+HixYMGCk3I9kjOXH73hnDNnjpg0aVLQ/RkZGQJo82ri22+/FYA4dOiQEEKIjRs3ivHjxwuHwyHMZrMYOHCg+POf/ywaGhq6+lK6nM4eKyGEKC0tFXPmzBGRkZHCbreLefPmierq6q68jJNGe+O1detWMWXKFGEymURqaqp48skn/fa/9tprfuP35ZdfihEjRojIyEhhtVrF8OHDxYsvvii8Xm+XXcPJpLPHSwghsrOzxQUXXCAsFouIi4sT9913n3C73V3Sf4mkCVmPUyKRSCSSDnDaRdVKJBKJRHIqkYZTIpFIJJIOIA2nRCKRSCQdQBpOiUQikUg6gDScEolEIpF0AGk4JRKJRCLpANJwSiQSiUTSAaThlEgkEomkA0jDKZFIJBJJB5CGUyKRSCSSDiANp0QikUgkHeD/A5Tdb8Vy8i5FAAAAAElFTkSuQmCC", + "image/png": 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d1yP8nDlzmDJlCuPHj2/w2JoRbfUFzXPl5eXx448/cvfdd9fat3DhQsLCwhgwYACLFi3Cbq+/uc9isWAymdx+2jtJgvFdQukaH0rfkQO8OF5C76Nj1NCeDR47fcrQpigiACO7hhMVqKeuxuTSA7soO7gHa3EBitWCYqmmKjuTExvXM/fVFXy6KaPJyiEIgnA+Gl3jXLp0KampqWzfvr3BYwsLC3n++eeZPXu219f/8MMPMRqN3HDDDW7bH3zwQQYOHEhoaCibNm3iiSeeICcnh3/96191XmfBggU8++yzXt+3vfDVyTwyqgNdwifzuq+e1A07sFltrv0hwQFERwTj7+fLoD7JPDD9cpKiA4ke8xfM5qo6rxkU6Mfrf72lycqokSXm39yH2e/vQOLM4KSKU+lU559utnerAqugOoPqs5+HcsPgOHx9mq4GLAiC0BiNmseZmZnJ4MGDWblypatvc8yYMfTv35+XX37Z7ViTycRVV11FaGgoy5YtQ6fTeXWP7t27c9VVV/Haa695PO7999/nvvvuw2w2o9fra+23WCxYLBa38iQkJFxSc7psDoWs4gq27jqOrdpCWEQYCfFRSJJEsEFLZKAPOq2z0cFutzP67ldJ3eO+isnQAZ1Z/uYcfPXe/f0aY/2hAv7+3QGO5JoByN+yDqW6Gk9Jbf0Tk/ngmd9xzYDYJi+P0L6IeZxCc2lU4Pz222+ZNm0aGs2Zp32Hw4EkSciyjMViQaPRUF5ezsSJE/Hz8+OHH37A19fXq+tv3LiRK664gl27dtGvXz+Px+7fv5/evXtz6NAhunXr1uC1xYfIO6qqkp5ViMOh0CE2vEn7Nuu73+GccorMVq6a/myDg5p0gcH869m7uGdM49P9CZcW8ZkXmkujmmrHjRvH3r173bbNmjWL7t27M2/ePDQaDSaTiYkTJ6LX61m2bJnXQRPgvffeY9CgQQ0GTYBdu3YhyzKRkZGNeQntns2hkG+yUmFxIEsSIf5aQv11Xk9PkSSJjvERzVxK9/t1j23El5okERlYu4VBEAShpTQqcBqNRnr37u22zd/fn7CwMHr37o3JZGLChAlUVlby8ccfuw3KiYiIcNVUu3fvzoIFC5g2bZrrOiaTif/973/885//rHXfzZs3s3XrVsaOHYvRaGTz5s088sgj3HbbbYSEhDT6Rbc3DofCTxv3sW7HccqrHQzsm0zfHs55rwXlVnx1Mj1i/fFt5trjhYqLDOJUXqnHYwyhYYzv5d2KLIIgCM2hSZcVS01NZevWrQB07tzZbV9aWhpJSUkAHD58uFZShKVLl6KqKjNmzKh1Xb1ez9KlS3nmmWewWCx07NiRRx55hEcffbQpi39R2nUok5sffodTeSVoTs9z/O9X6+icFMP8eTOJDA+m2qZwMLuCfolG5Da6NpfF7qDnsCGc+m5l/QfJMnNvuRw/vVgNTxCE1iOSvF/ETuWVMPimv2OurMZxTno6jSwTHRnMfxY/gP70wJ6u0X6EBfi0RlEbNOfDVJbvzsGclYHpyH6cuZDOXjhUZsTIAfzn8WvpGB/udm61xca6bUcoM1fROTGCgT0TmzxzknDxaY+feaFtEI/uF7E3l67HXGmpFTQBHIpCVm4xazftZdLYgQAUV9jaZODcnVHKT7uc01D8YhPRBYVQlZWBtawYJBl9SDiSVsumjSn03JjClUO78fqTM0iKC+O1T9by97d/puysqTS9Osfw5/umIgUEotPIjOoeQYTR2S9qcyiUVljx12tFzVUQhPMivjkuYp//vAOHotS7X5Ik1v62xxU4PRzaqr5LyUIrS9hPPwDo/I3ouvZyO0Z1ODCnORPDr99xlNF3/JOZ11zGyx+trnW9/cdzmTXvHcIGDENnDEIjS1wzIAajXstX209RZVOQJLiyZyQPTuhC38TgZn+NgiC0HyL550Ws3Fztcb+qqpgrzxzjr2+bg4OKzdY6a81nkzQapNODyxwOheJSM6/8d03dB6sqKCrlpwOtQ1H5LiWbjzdlUGVTXIesPZDPja9uYsOhgqZ7MYIgtHuixnkR65IUxc6DGfUuv6WRZTrEnZmuExnY9pppAU6kZaEoKpJc/3OcYrehOhyu3xsKtKBiLS7EYbWg8al7+oqiguJQefjjnTw5tQfLUnMoNFtIDPXjd8MTGdU1HFkWfaWCILgTNc6L2H23jPK4ZqVDUZgyfjAAyZEGfLRt78+deiCDNcs3egyaqqpQlXPqvK6vWC0NHlNSYeNPn+5h4+EC9p8y8cu+PO58ext/+CAFm6ONtm8LgtBq2t43qeC16VcPYfzw7rWmmNT8Nm3SMEb070TPWP82mzTgT//4H46qCioy0+rcryoKitVKRcaJOvc3RK6ntlmXmmeQmtrsyr15PPvtASqtDg9nCYJwqRFNtRcxnU7DV6/cz4vvreDNpRsoLqsAICEmlAd/P477bhnVptewrLbY2LY3HYDy44dQrFb8Ezsi65xNyqqqYikuwHT0AIrNfQ1PjSyhqHhI0SfhExpWbzOtN1Rg6aYMipAY2iGY63tFEmxo+py9giBcXMQ8znbCZnOQnl2IVqOhQ2wosoemz7aioLicxHFPuG+UZHSBwUiyjL3SjGKpPQBKI0sYfH248/rhvP7purovLsuEDRiOznjhf+thfWMIDzFg1Gt5fEySCJ4Xifb+mRdaj6hxthM6nYYuHS6uVHTBRj8Meh1VljPLnqEq2MqKPZ7Xs3MsHy28iy4dIomNCmHBuz+7jTDW+hsJ7Na7SYImOGueigrlFjs/HCjgtkFiZRZBuJSJwCm0Gp1Ow+3XD+edLzZ6XBUlokdvnrmlP7KqMPqy7sREhaCo8NOhQjKD45n24B3kpGVhs1jx8fPjaIGdKkvT9EtKEgT6O5uOFRW2nzJxU79ofNvgQCtBEFqGCJxCq5p390S+W72LvCITdcXOgJhYvlvwO/onhmBTnMGryubgvymnOFxQCYBWqyWhSwfAGehiOiis35FJtZfBU5bODAw6V3yU0W1pNbuiYqq249sGMzAJgtAyxGOz0KpiIoLY8N/HuHZMX7ftOr0PN98whmNf/pkBHZw1TLuisvxQAU+vOOIKmudSVdBpZWZP6sZNl8XT0CxMnUYiwqinrumaQUY9PTqF1douapuCcGkTNU6h1SVEh/D5v2aTnV/K0ZP5GHx9GNgjAa3Wvab3w4F81p/w3P8JztrjyTIL//xdX3w0Mku3ZNRZo5QkmDmiAw9N7MKnmzNYuiWT3LJqDHotiTGBxEUHoDlrkJUEJIf5EegrPjaCcCkT3wBCmxEbGUxsZHCt7Yqqcryoig1eBM0aNkWlyubgb9N6kl1axbqDBWhkCYeiuv47vlcUf7muO3qthj+O78wfx3fmg+1Z7Dhlor4e1yk9wuvZIwjCpUIETqHNO5hXQUqWqVHnaGUJnUZmb245Vw9NoFtiCEezyqi22IkJNnDTZfEMTQ6ttfzYzIExyLLE1owyJJz9nw7V2Tz7+0ExdI3wb8JXJgjCxUjM4xTavHe2nCLPbKHAbMXhxbtVlqBnpD8nS6sptzhc/ZeKCpEBPvxxeAIRDQzuKaywsiu7nGq7QmSAD/1jjfi04WQSQm3iMy80F1HjFNq8wkor+WZrvSNfzyZJzgE/RworsZ2OsmefV1hh5ZVfT/Lk+GSPg3zC/X0Y36X2wCBBEATxCC20eUa91qugCRAf5MuA2EDsilpnP6WiQkmVne2ZZU1aRkEQLh0icApt3mUJQQ0eI0tw72Vx/GVsRw4XVDQYaDeeKOFAnpkqm0jgLghC44imWqHNGxhnZNVRPbnlljoDokaCh0Z1IDnMDwCL/cxSYIqqkltQQUaOifKyCsxZGaiV5fj6yHzVuSt9+nXiur7RXNcrEq1Ye1MQBC+IwCm0eTqNzEOXJ/LBjmwO5le47YsL9OG+4YmE+Z1JvB5t1JNWXIXdobBjXy5FZdVUZJygPO2IM0OCJIGqkpuWyZFN2zg2+SoKzFZmD4uvNcpWEAThXCJwCheFAL2WuSMTyS23cOR0U2ynMAOJwYZax45ODuFEcRWH04spKqumMjuD8hOHzxxw1kBye0U5u5evws/Pl7GdQ8V0E0EQGiQCp3BRiTbqiTZ6XmNzYFwgv54oYfmv5aiKgjn9qMfj7eUmjhw+xYbjCSJwCoLQIDE4SGh3ZEnCqAFFUbGZSlGs1gbPMaUf50AjkywIgnBpEoFTuKhUWOykFVRQZLZ4PM41h9Nh9+q6it2Gr0b0bwqC0DDRVCtcFA5mmbjv/R1kFle5tsWHGnhxej+G15GoYECHEDSyhNbgXdOrNiCQib0uroXABUFoHaLGKbRZqqpSWWVhWeopZi1JQWPQ0TE+COPphaVPFVdx6xtb+Gl3dq1zBycEkRwfhNbPH11QCDSwwFhIp86M6hzaHC9DEIR2RtQ4hSZlsTn418qjHM03o5UlZgyJZ2yPxtXk0rIKueuvH7J1TxoqIMky+sgYAhKT0fn7ExMRQFJcIAePF2F3qDz00S7G/SMK/VnLkGlkiRdu6s0f3t+BrWsvilM3ozoUqCOfUEDHriSEByCLqSiCIHhB1DiFJvPaqmPM+fogpywqeqMfvoF+fHWomNs+SCGnpKLhCwAHjmfT+7pn2XI6aAKoikJ1XjZFO37DWlZKTr6ZQyeK6dXZucSXXVH5IbXuWucH911GeGQYIf2H4RPqviSYpNUS2LUXAR2SGd094oJeuyAIlw5R4xSaxKdbTrK/zILRV8uYzmGMSArBqNfiUFR2ZZt4aUMGP2/OQFFVOoT7ce8ViYztGYmvj45TuSWkFZj574bjrN95Al1wOJbiAvcbqCqq6qD0wC7Ch47GblfIKaggNMiX4rJq1h8u4MbLEmqVq1e0kfk39uKBj3YS2ncw9upK7OZyNL5+6AKMgDMfwp2jklrgX0kQhPZABE6hSXy9O4/E6ED+NLYToQadKwOPRpboHxtI3xgjFdlZfP1rGhWWGB76705K9qbgMJcT2L0PvhHRAEhhsYSEx2OvqqTs0B5sZSVu93FUV2EtKUIfGk5+cSVdk4IpLqtG72HJryn9Y9hwqID/bTuFztcPra8zNZ8sOZO+P39jbzqEi/mbgiB4RwRO4YLll1URF21k3pXJBBl0tfZrZAlJgWduHwORMaQfTmPTj79hr6wmbuhIHAYjZwbvOP+rNfgRNmAYtvIyzOnHsBTlu65nN5vQn252dThUVFXlnrHJ9ZZPkiT+Mb0vwzqHsWRDGvtPmZBliVHdwpk9thPDu4TXe64gCMK5ROAULlhWaTW3DYwj0Lf+t5MsSxj1WvrGBYGcTEhUGCe27WH/wf3IsoQ+NByfqHg0el+387QBgYT0GYTp2EEqT6WfvtiZQUAWmwPJ4aBbjNFjGSVJ4oYh8dwwJB5FUZEkRF5aQRDOiwicwgXrFO6Pj4+uwUBkV1RiA335bvVO1n29ElVVXXljq0tLIP04Ib0Gog87M1Cn5prG5O5YCvNxVFdSMzLWV68hv6iCWzo37m0si1VQBEG4AGJUrXDB/A0+Xh0nS5Cemce6r35BVRS3ZOsAKAol+1JxVFfVeX5g155IGi3mk8dQFYUAPx9Kjx7msdtHX+hLEARB8JoInEKTaGDdaMCZQ3bpt795PlZVKNiyjpK9Kdgt1W67fELCCR96BRqdHqksn+z9B1m58GbCQwIupOiCIAiNIppqhQsmSzSYPEBVVY4VVnLowInaNc06WIrysWwpIGzQCHQBga4mW1mrI6TfEKwnD5L+7RPodJoGriQIgtC0RI1TuGASgKriUOoPiGaLnQ92nEJRFO8vrKoU79rm7AutuZcso9H70qNbkgiagiC0ChE4hQsmSeCjlVDPCZ6q6pwqUlRh5R/rTlBtVwiPi3ae4CXVbsNSXOi+TVGITKyd7EAQBKEliKZaoUnIEvj7yFjtCqYqO74+GorKq9mcXsz27AosDmdNs++I/pw6fKJR17YU5OB71khbJInIsMCmLL4gCILXLihwLly4kCeeeIKHHnqIl19+meLiYp5++ml++eUXMjIyiIiI4Prrr+f5558nKCio3uvceeedfPjhh27bJk6cyPLly12/FxcX88ADD/D9998jyzI33ngjr7zyCgEBYmBIWyFJoNfJOCqs9PvLL6hA2ZH9/G5iH2J7dCXXbCU6IYZuwwZxeEtKY658zn0kBiSFNGnZhUuXw+HAZrO1djGEVqbT6dBovOv+Oe/AuX37dt5++2369u3r2padnU12djaLFy+mZ8+enDx5kvvvv5/s7Gy+/PJLj9ebNGkSS5Yscf2u1+vd9s+cOZOcnBxWrlyJzWZj1qxZzJ49m08//fR8X4LQTKKDfZnQJ4oVe3KpLsjBnB3JPXeM43heBYqqcmuvqbz4vyjWrt6KraSowevpI2PO/KKq+Om1TBsc14yvQLgUqKpKbm4upaWlrV0UoY0IDg4mOjq6wTnp5xU4zWYzM2fO5N1332X+/Pmu7b179+arr75y/Z6cnMwLL7zAbbfdht1uR6ut/3Z6vZ7o6Og69x08eJDly5ezfft2Bg8eDMBrr73G5MmTWbx4MbGxsefzMoRm9PzNfdhyKIdcm41fftvPKxrw0cquPtC//G4E90weyMwHXsJWUf/KKbLOB32Ic6FqVVHQamXenDWIwDpS+wlCY9QEzcjISPz8/EQmqUuYqqpUVlaSn+9M7RkTE+Px+PMKnHPmzGHKlCmMHz/eLXDWpaysjMDAQI9BE2DdunVERkYSEhLClVdeyfz58wkLc35hbt68meDgYFfQBBg/fjyyLLN161amTZtW63oWiwWLxeL63WQyNeYlChcowqjn7VkDGbNyBSZzFW98soa7p19JekGl65hwoy+zZ9/CG6/+F9Vhr30RWSak/1BUhx1FUQilmqWPT6F7XP3N/oLgDYfD4QqaNd8zwqXNYDAAkJ+fT2RkpMdm20aPql26dCmpqaksWLCgwWMLCwt5/vnnmT17tsfjJk2axEcffcTq1av5xz/+wfr167n66qtxOByA88kwMjLS7RytVktoaCi5ubl1XnPBggUEBQW5fhISxCjMlja0Rxz+oSGAxN/f/pGPv9lIpwg//HzOvCGvvSyJQddMxi8hCUmnA0lC0moxxCQQMWws1uJ88n9dxfWxVjYtvkkETaFJ1PRp+vn5tXJJhLak5v3QUJ93o2qcmZmZPPTQQ6xcuRJfX1+Px5pMJqZMmULPnj155plnPB47ffp01//36dOHvn37kpyczLp16xg3blxjiujyxBNP8Oijj7qVRwTPlrf4gSn84blPUFWVv73yDW99tpYbJgwiLiqEwrJKvlyzm4yT+QQkdSJi6Bjk0y0TjuoqzOlHcRRksemzxxnQPbGVX4nQHonmWeFs3r4fGhU4U1JSyM/PZ+DAga5tDoeDDRs28Prrr2OxWNBoNJSXlzNp0iSMRiPffPMNOl3j+qM6depEeHg4x44dY9y4cURHR7vanmvY7XaKi4vr7RfV6/W1BhgJLe/O64eRX2jimTd/QFUUsgvKeP3j1c6dkuTKIlR+/DDlaUfRGvxQFRXVYeO+m0Yyf+7D+HmZC1cQWoOqguOs3B8aqVFTlYWLUKMC57hx49i7d6/btlmzZtG9e3fmzZuHRqPBZDIxceJE9Ho9y5Yta7BmWpdTp05RVFTk6qAdPnw4paWlpKSkMGjQIADWrFmDoigMHTq00dcXGs/hcLDg8x1sPZqPr07miZsHMbBL3Q8t53r8ngk8+PsxPLboK5at20tBaQWqw1Fnknd7hRlJq+W7dx7lqgGilim0XYoKdsX537PZcc5r1srO/wrtT6P6OI1GI71793b78ff3JywsjN69e2MymZgwYQIVFRW89957mEwmcnNzyc3NdfVXAnTv3p1vvvkGcI7Qfeyxx9iyZQvp6emsXr2aqVOn0rlzZyZOnAhAjx49mDRpEvfeey/btm3jt99+Y+7cuUyfPl2MqG1mqqqy6MsUujz4Le9tL2RfqcyOArjpjRSG/vVHMvLLUVWVnSfyefS1n7j3+aW89fn6Wqn1fPU+vPbkDE6u+jtjR/X3eM/kHl1E0BTaNIcCVkftoFlDUZ37HY3IMNnSHnzwQQYNGoRer6d///6tVo709HTuvvtuOnbsiMFgIDk5maeffhqr1dpqZWpIk2YOSk1NZevWrQB07tzZbV9aWhpJSUkAHD58mLKyMgA0Gg179uzhww8/pLS0lNjYWCZMmMDzzz/v1tT6ySefMHfuXMaNG+dKgPDqq682ZfGFOrzz837+vSELSadHcdiRTYVo7FVotVrsPtHMeGcbSVF+qJKEX0Qc+viO/Hw8g/mTn+Xpu6/i3psvr3XNH/51J6Pvq2bHziOo9jOd8JJWR3KXDuz4j+fBZILQmhQVbF4GRJvibLZtqzXPu+66i61bt7Jnz55WK8OhQ4dQFIW3336bzp07s2/fPu69914qKipYvHhxq5XLE0lVvViqoh0wmUwEBQW5pscIDau2ORjy528wS77YSgspO7Abu82GLMuoqMR3TcZcYaHk1Clns6skE9ohkcvGXUZ4WCDL3vuS1/58PbdMGlzn9fcezeLx15eTVVhOeJA/z983npH9OrbwqxTaK0+f+erqatLS0ujYsWOju5M81TTrIkvg04bXI3jmmWf49ttv2bVrV2sXxWXRokW8+eabnDjRuPScF8rb94XIVSvU60BmKeWSLzZTKSV7UlyrlCiKgsbXQOaRNFAUXKtxqgrFJ0+y4qMsxs+YypBxw/nzoi/rDZx9usTx8yt3t9CrEYQLp6qNC5rgPF5VxYChxigrKyM0NLS1i1EvsTqKUK/0/HIkScKanV5rn6qqoDiotYS1qqLa7Gz8cR0JXZMwOzQcPZnXIuUVhObmOM/2ucYG20vZsWPHeO2117jvvvtauyj1EoFTqFfHqEBUux1zXq77mpg6HxRLtYczVaqLCjmVWUDCqDHMeGcXS9aneVyvUxDaM/HO905WVhaTJk3i5ptv5t57723t4tRLBE6hXtGBeromGGttl3XezassyCnCZlMoqrTz/LcHeOi/O1FE8BQuQaKVtmHZ2dmMHTuWESNG8M4777R2cTwSgVOo15yPtpGcHIXecE4iCS/HkzmQqLI4c9CqwI+7cvhpd04Tl1IQWo7mPCNgWx1V21ZkZWUxZswYBg0axJIlS5Dlth2a2nbphGaxbtthRt76D4Ive5igyx5i8M0v8ON698QWWw5kEpEQiSzLdBvU25WKSm/Q46iqaHCkg6TVYfdxXytVluCjX9Ob9LUIQks6n6klchvNJHTs2DF27dpFbm4uVVVV7Nq1i127drX4/MmaoJmYmMjixYspKChwzf9vq8So2ktAaXkln/6wje37TrLn8CkOHHev9e0/lsNND7/NHVOH89YzMwF4f/0JdNHOxPr9Rg4k80g6JflFRMbHcOrYSTR+Adgryuu9Z0hyF0rN7omSFRWO5Jqb+NUJQsvSys4pKY05vi265557WL9+vev3AQMGAO5z7iVJYsmSJdx5553NVo6VK1dy7Ngxjh07Rnx8vNu+tjpbUgTOdm7Fr/u59bH3qLJYkfA8uu/D7zYzblg3bp40GItDpSbDsE7vw5Q7p5Gydiv+Rn9yTmZhryhHG2DEbi4HJGcnzuk3uV9CErroujP/GHRteEKbIHhBlkAne5cEQdeG0+6tW7fO4/60tDS0Wi0jR45s1nLceeedzRqYm4MInO3YweM53PzIO9gdCqrq3ci+5978kZsnDaZjqIGCs7brffXcefvV9An3JfCBKezbe4yPv9vEb3ssaP38AAlJljHEJmKIqDuHrUaWuGaA5wViBeFioJGdza915aqF9pGr9qeffmL27Nl06dKltYvS5ojA2Y69+skaVFWts7kjLjqMpIRILBYbew6lY7U6B/GcyCwE4LHr+/GHrw7i769Hr5WZNTiebpEBOBQVjSzRPXYwv7t6CKt3HOMvb/xIeHwMST27sHlvHlaro1aQliXQa2XuGJXUzK9aEFpGTUagmqQIKs6Gl7bap9lYc+bMae0itFkicLZj363ejf2cLNOx0aE8OnsqA/sku7aZK6pZ+t1GPvt2A4qqcjK7iA6xYfTyU0hTVKb1iqJLhD/grDWe/d+xg5JZ9H+3sWx/HpIkMbRPDNv351JVbUc63YKrqBDkp+PduwcTHyoWDhbaF0k6/9G2wsVJBM52zHK6FlkjIiyI1+ffR0CAew7GAH9f7rn1KoIC/Xjzw5/pMeVpHvz9lfz94et57NNUBicEI9fzCC1LEiM6hPD++jQKTFWEBhkY0isKA+AnS/jpZAZ1DGFyvxj0on9TEIR2QATOdqxP1zi270t3JR2YecNoAgJ80WrqDmA3XzOS71ZsJTu3mFf+u4bXPlnL/beORyPXnWu2ho9WZuH1PVBVFb1OJi7E4PVK6oIgCBebNjpQWmgKf5g+2hU0NRqZiaMH1Bs0AewOBxNGD3D9rigqRcVlXt0rMcyP5KgA4kP9RNAUBKFdE4GzHbt54kCmX+2sLfr7+aLX6zyfoEJEqPvyS7sOZjR4H0VRLurRg4IgCI0hAmc7Jssy782/nVf/73dUVVmw2eyeT5CgpMw9QcHhtFx+TTmC3V73jG+73cGP6/agKG14qXtBEIQmJAJnOyfLMvfeNIr/u+9qVv+6B7uj/pQnWo2GlRt21dr+h6f/S16RCcdZI3RVVcXhUDiZXcTLH/6CVisG/giXJotdId9kIafUQr7JgsUuHiLbOzE46BIx755JDJ3xIqOG9kTSg+acvk5FVVm+JoWTpwpqnXsqr4QrZi7k3ltG8/upwwkPCSC30MSH3/zG+19t5K+zr26plyEIbYa52k5WiYWSCpvbvGWJKkL8dcSF6AnwFV+x7ZGocV5Ctnz6GH954UPSMvLdtlttdr5Y9iv/emdZvecWl1Xwj3d/ovc1TxE98hH6T32alz74hbLyKkYN6tzcRReENqXIbGVflpnic4ImOBMhFFfYnPvNLZsw3Vu7d+9mxowZJCQkYDAY6NGjB6+88kqrlKWoqIhJkyYRGxuLXq8nISGBuXPnYjKZWqU83hCPQ5cQSZL4799vZ+BNL9C1UyxJCVFYLFZ27DlORaWnhak9XRMWv7+STxbd3cSlFYS2yVxt52heZYOr66kqHMmrpLdWbnM1z5SUFCIjI/n4449JSEhg06ZNzJ49G41Gw9y5c1u0LLIsM3XqVObPn09ERATHjh1jzpw5FBcX8+mnn7ZoWbwlqW01/XwTM5lMBAUFUVZWRmBgYMMntGNDf7eAPUeymvSaY4Z05a1nbqNDbGiTXlcQzpenz3x1dTVpaWl07NgRX1/feq5Qt8M5FRRX2Bo+8LRQfx3dYvwbdY/WMGfOHA4ePMiaNWtauyi8+uqrLFq0iMzMzBa9r7fvC9FUewm67bphNPWa9BtTjzH2zn+SV9R2m1cE4UJZ7EqjgiZASYXtohgwVFZWRmho6z/4Zmdn8/XXXzN69OjWLkq9ROC8BI0f3h3v1krxnsOhkF9UzuufrG3S6wpCW1JW2bigCc5PWlllA1PBWtmmTZv4/PPPmT17dquVYcaMGfj5+REXF0dgYCD/+c9/Wq0sDRGB8xL09cqdzXJdh6Lwzhcbm+XagtAWOM6z4ujwtBBuK9u3bx9Tp07l6aefZsKECa1WjpdeeonU1FS+++47jh8/zqOPPtpqZWlI2+qxFlrEtj3pzXZtU0U1a7ceZuzQbs12D0FoLZrzrGpo2mhqrQMHDjBu3Dhmz57Nk08+2apliY6OJjo6mu7duxMaGsqoUaN46qmniIlpe2v4ihrnJUirbd4/+1Ovfdes1xeE1hLkp2v06AAJCPJre3WU/fv3M3bsWO644w5eeOGF1i6Om5pMZBaLpZVLUre299cUmt2EkT35acO+Zrt+yv4MjmcUkJwY0Wz3EITWoNfKhPjrGjVAKMRfh76ZH1Yba9++fVx55ZVMnDiRRx99lNzcXMCZGCUiomU/tz/99BN5eXkMGTKEgIAA9u/fz2OPPcbIkSNJSkpq0bJ4q239NYUWMWPyEEKDzm9BaV1QsFfH5ReXn9f1BaGtiwvR4+0CQJLkPL6t+fLLLykoKODjjz8mJibG9TNkyBDXMenp6UiSxLp165q1LAaDgXfffZfLL7+cHj168Mgjj3Ddddfxww8/NOt9L4SYx3mJSj2Qwdg7/4nVVn/uWte3g6oiabQE9eiHT0gY5ScOU5V10uP1Rw5M5s6pw7lp4iB8G1qVRRCaQXPN4wQoNls50kASBEmCrlF+hAb4NPr6bcHatWu54YYbOHHiBCEhIa1dnBbh7ftCNNVeogb2TGTc0B78/GvtJluNr4Ggnv2xFBWgKg50/gH4RsQgnc5vG9i5B/qQcEr3pdR7/c27TvBb6nEWLfmF5e88RExEULO9FkFoaaEBPvTWyvXkqqVd5Kr96aef+Otf/3rJBM3GuHj/qsIFcTgUtu9Lq3Ofb0QMOmMQPoHBde6XJAnf8EhkHz2Kte7O+5oFtE9kFnLrn//D2g//1CTlFoS2IsBXS7cYLRa7QlmlHYeiopElgvy0ba5P83wsWrSotYvQZl38f13hvCz/dT+FpRV17pN0WhpMxAlI2oabYO0OhS170tix33PTriBcrPRamchAH2KC9UQG+rSLoCl4Jmqcl6i9R7LQyFKdE7MdVVV4Gv2gKg6q8nNxVNUdeAF0QaH4hkciyRocleUs/+0gg3t1aJKyC4IgtCYROC9RPj5alHpqldX5OQR27oEqy0jnBFCrqZSSvSmotrqXS5J1PgT3GYRPYDDq6blYSBIfHLJT/vV+dH4+yJJE7+gARncKIcrY9kYcCoIgeCLaFC5Rk0f1rrc1VnXYMR07gCRJnD3o2lFdRcmubfUGTYDgXgPQBThHMEqy7PyRJBwqfLExnbQ8M0WVNjamlfDC6hPszhbTVgRBuLiIwHmJ6t4pmpGDu9S7vyrnFCX7UnFUml3bKk6loyoepq8A9gozklzX20pCVRR+3bifU8cyUFRwqPDe9ixKqxqfOFsQBKG1iMB5Cbt72giP+y2FeRRu/5WCbRsoStlE5an0Bq9ZlZ9T7z5JlpECgvnlsx84vvcI4Bx9+2t6aWOKLQiC0KpEH+clKjO3hPuf+dirYx2VFXiuZ56hOjwvnyRJEpIk89sPa0nsloS/QY+igF1xzn+TJY/jkgShzSmtsnEwv4Jqu4KvVqZHpD/BBpH0oz0TgfMS9d5Xv+I43zWSPNAY6l/pXlVVFKsFVXFgV0CXn8sz916FXitz9jq/Ovn8V6EQhJZysqSKFYeL2JtbztmD02UJ+kQbmdgtjA4hhtYroNBsxNfTJWr9tiPNskagzVSMYq1/8FDl6VR9Go1MoKO6zjlvNuX81z0UhJawK9vEvzacZHeOe9AEUFTYnVPu3N9GB78VFRUxadIkYmNj0ev1JCQkMHfuXEwmU6uUZ/Xq1YwYMQKj0Uh0dDTz5s3Dbm+7i39fUOBcuHAhkiTx8MMPA1BcXMwDDzxAt27dMBgMJCYm8uCDD1JWVlbvNWw2G/PmzaNPnz74+/sTGxvL7bffTnZ2tttxSUlJp5v5zvwsXLjwQoovNAPFYqU8/Uit7aqqYjOVUlHTT6qqGP3rzwVpV7zKwSAILe5kSRVLtmdjb+DB066ovL89i5MlVS1UMu/JsszUqVNZtmwZR44c4YMPPmDVqlXcf//9LV6W3bt3M3nyZCZNmsTOnTv5/PPPWbZsGX/5y19avCzeOu/AuX37dt5++2369u3r2padnU12djaLFy9m3759fPDBByxfvpy777673utUVlaSmprKU089RWpqKl9//TWHDx/muuuuq3Xsc889R05OjuvngQceON/iX/JGX9bVq8V1NY1uM1Wpys1COauvU1VVrCWFFO/eBqfndjoUlevHD/RwFRBxU2iLVhwuajBo1rArKr8cKWrmEjVeSEgIf/jDHxg8eDAdOnRg3Lhx/PGPf2Tjxo0tXpbPP/+cvn378re//Y3OnTszevRoXnzxRf79739TXt42a+zn1cdpNpuZOXMm7777LvPnz3dt7927N1999ZXr9+TkZF544QVuu+027HY7Wm3t2wUFBbFy5Uq3ba+//jqXXXYZGRkZJCYmurbXVOOFC3f3jZfz0oerUFRHvTW7t5+5jY0pR1m+cT/VNjs2fQCSRkt1YZ7n6qCioFRXI/sHuDbJPnpX0JQkiZsnDaZTgud1/1QVGr1qsCA0o9IqG3tzG/dlviennNIqW5seMJSdnc3XX3/N6NGjW/zeFoul1kokBoOB6upqUlJSGDNmTIuXqSHnVeOcM2cOU6ZMYfz48Q0eW7OkT11B09M5kiQRHBzstn3hwoWEhYUxYMAAFi1a5LEN3GKxYDKZ3H6EMxKiQ/jkxbvRajRutUqtRkaS4F/zbub2qcN497nfk7l2IQW/LubrV/9AcGiwV1XBmpVUwBkoZR+9KwvR764ezKtP3trwNUTQFNqYg/kVtfo0G6KocCi//vSUrWnGjBn4+fkRFxdHYGAg//nPf1q8DBMnTmTTpk189tlnOBwOsrKyeO655wDIyal/eltranTgXLp0KampqSxYsKDBYwsLC3n++eeZPXu219evrq5m3rx5zJgxw20NvQcffJClS5eydu1a7rvvPv7+97/z+OOP13udBQsWEBQU5PpJSEjwugyXimvG9GXnV0/yh+mj6ZoURaeEcGZeO5RNn87jD9NrP3le2SuKZc/fQEORUxsQiMb37NGEKnqtxN0zx7Pvu6d5f/4d6H08P33XTE0RhLak2n5+o9bO97zm9tJLL5Gamsp3333H8ePHefTRR1u8DBMmTGDRokXcf//96PV6unbtyuTJkwFnX2xb1KiFrDMzMxk8eDArV6509W2OGTOG/v378/LLL7sdazKZuOqqqwgNDWXZsmXodA03U9hsNm688UZOnTrFunXrPC44/f7773PfffdhNpvR62vnO7VYLFgsZ5a8MplMJCQkiIWsm8Atj7zDTxv21jsqN7j3QHzDo9y2zZ3UhT9N7Or63aE4R8/Wx0cjAqdwYZpjIevNJ0v5OLXxtaDfD4xhWIfgRp/Xkn799VdGjRpFdnY2MTExLX5/VVXJyckhJCSE9PR0evbsybZt2xgyZEiLlcHb90WjwnlKSgr5+fkMHDgQrVaLVqtl/fr1vPrqq2i1WhwO5zT58vJyJk2ahNFo5JtvvvE6aN5yyy2cPHmSlStXNhjchg4dit1uJz09vc79er2ewMBAtx+haSz5+x1MvLwX4Gza1WlPN8tKEoFde7sFTVmCAR2CmTsu2e0aGtk5X/Pc2CghgqbQdvWI9G/0e1OWoHtk/fOb2wrl9BiEsyscLUmSJGJjYzEYDHz22WckJCQwcGD9AwhbU6MGB40bN469e/e6bZs1axbdu3dn3rx5aDQaTCYTEydORK/Xs2zZMq+e5mqC5tGjR1m7di1hYWENnrNr1y5kWSYyMrIxL0FoAv4GPV+9cj87D2by9cpUyiuqSYoPJ18bwrc786myOR+gfLQyN10Wz1+v64Feq6l1HY3s/FJRcQ4EkiQRMIW2Ldigo0+0kd053g8Q6htjbHMDg3766Sfy8vIYMmQIAQEB7N+/n8cee4yRI0eSlJTU4uVZtGgRkyZNQpZlvv76axYuXMgXX3yBRlP7e6MtaFTgNBqN9O7d222bv78/YWFh9O7dG5PJxIQJE6isrOTjjz92G5QTERHh+kfo3r07CxYsYNq0adhsNm666SZSU1P54YcfcDgc5ObmAhAaGoqPjw+bN29m69atjB07FqPRyObNm3nkkUe47bbbCAkJaYp/B+E8DOiRwIAe7n3Hf51mZ29mKSrQKy6IIL8G+jKl07VOETCFi8TEbmHszzN7NSVFJ0tM6NpwRaClGQwG3n33XR555BEsFgsJCQnccMMNbnMn09PT6dixI2vXrm32ka0///wzL7zwAhaLhX79+vHdd99x9dVXN+s9L0STptxLTU1l69atAHTu3NltX1pamutJ5vDhw66kCFlZWSxbtgyA/v37u51T8wfT6/UsXbqUZ555BovFQseOHXnkkUdapSNb8CzAV8vwLuGtXQxBaDYdQgzcNSSO97dneQyeWlli1pC4Npl2b+zYsWzatMnjMWlpaQQHB9OvX79mL8+aNWua/R5NqVGDgy5mngYKCILQ/jTH4KCznSyp4pcjRezJqZ2rtm+MkQldL+5ctY899hiRkZE89thjrV2UFuPt+0IkeRcEQTgPHUIM3Ds0ntIqG4fOWh2leztZHWXRokWtXYQ2SwROQRCECxBs0LX5qSZC02qbs0sFQRAEoY0SgVMQBEEQGkEETkEQBEFoBBE4BUEQBKERxOAg4aJlttiptisE+mrRyTIHs028tSGNPUezMRWVIMsabryyFw9N7I6fj3irC4LQNMS3iXBRSU0v4a21J9idUYpDhdjIAH4/sgNVlTa+TTnBjuUbKMjKcx1/6NdNfPBld1b863aSwtp+vlDh4pNbWs2vRwoor7Zj9NVyedcIooPPb26ocHEQgVO4KKiqygvfHeS99WlInFnYrKismleKKkiM8mX1J8uwWaxu5znsDjL27Ofqh95j1wdz0WtF74TQNPZklPLGqmOs3p/vlkFIK0uM6xXJH8d3pm9icOsVUGg24ltEuCh8vjWT99anAbVXA/UP9GX/ll3YrFbcEmFJkms17PT9R/hq89EWKq3Q3q3Yk8vNr21mxd68Wmn37IrKir153PzaZn7Zm9tKJWzY6tWrGTFiBEajkejoaObNm4fdbm/2+3799ddcddVVREREEBgYyPDhw1mxYoXbMRs2bODaa68lNjYWSZL49ttvm71cjSECp9DmqarK26uP17s/JsyP43sPo57+AvONiiVs0AiiR08ievQkQgcMwzcims9+3N5SRRbasT0ZpTz4351YG1ic2mpXeOCjnezJKG2ZgjXC7t27mTx5MpMmTWLnzp18/vnnLFu2zC3Je3PZsGEDV111FT/99BMpKSmMHTuWa6+9lp07d7qOqaiooF+/fvz73/9u9vKcD9FUK7R5+SYL6YWV9e5XHXYcdudSZsbOPfCPT3KreeqMQQT3GsDRshLKqu0E+Yq3vXD+3lh1rMGgWcNqV3hz9XHenDWomUvVOJ9//jl9+/blb3/7G+BclOPFF1/klltu4emnn8ZoNDbbvV9++WW33//+97/z3Xff8f333zNgwAAArr766ja9OoqocQptnqOB5ZusDgmNVoNPSDj+8UmAc1HcGpLsfJtbfEN48vtDXn/pCcK5ckurWbU/v1HnrNqXR25pdTOV6PxYLJZaScwNBgPV1dWkpKS0aFkURaG8vJzQ0NAWve+FEIFTaPOignyJDNTXu/9Uvpnkvt3wi0tEVTwHxZ3Hi9ieWdbURRQuEb8eKWjwQe5cdkXltyOFzVSi8zNx4kQ2bdrEZ599hsPhICsri+eeew6AnJycFi3L4sWLMZvN3HLLLS163wshAqfQ5mlkiVlXdKx3reucAjOd+vXGJzDYVbusT1m5ha0ZInAK56e8+vwGz5RX25q4JBdmwoQJLFq0iPvvvx+9Xk/Xrl2ZPHkyAHIDn6Gm9Omnn/Lss8/yxRdfEBkZ2WL3vVAicAoXhXvGdOSq3lGAa6Cs6//1Og1/mdKHkKCG52lqZIlyq6O5iim0c8bz7B83+ra9ZcYeffRRSktLycjIoLCwkKlTpwLQqVOnFrn/0qVLueeee/jiiy8YP358i9yzqYjAKVwUtBqZN2YN4pXf92dQUghGg5YQfx/G9I7iuen96JMQyM1DE5Hrq5aeFh0RQIR/2/sSEy4Ol3eNQNvQm+wcWlliZNfwZirRhZEkidjYWAwGA5999hkJCQkMHDiw2e/72WefMWvWLD777DOmTJnS7PdramJ4oXDR0MgS1w2M47qBcXXuv2NUB/77azqWegb/aLUy8VFGRiaFNGcxhXYsOtiXcb0iWbE3r+GDTxvfO6pNZhJatGgRkyZNQpZlvv76axYuXMgXX3yBRqNp1vt++umn3HHHHbzyyisMHTqU3FznXFeDwUBQUBAAZrOZY8eOuc5JS0tj165dhIaGkpiY2Kzl84aocQrtRnyoH0tmX4bPWdmBauoGPjqZYX1iGJgQSJ+YgNYpoNAu/HF8Z7f3mCd6ncwfxiU3c4nOz88//8yoUaMYPHgwP/74I9999x3XX3+92zGSJPHBBx806X3feecd7HY7c+bMISYmxvXz0EMPuY7ZsWMHAwYMcE1PefTRRxkwYIBr+kxrk1S3VCvtl8lkIigoiLKyMgIDA1u7OEIzKq6w8sKPh9l2ohhFhbBgAx2jAxjbJZxreja+qU24OHn6zFdXV5OWlkbHjh1rTcvwxi97c3ngI89JEHy0Mq/dPoAJfaIbff22IC0tja5du3LgwAG6dOnS2sVpEd6+L0RTrdDuhPr78M9b+lBtV8gqq0YC4oN8va4lCEJDJvSJ5n8PDOfN1cdZtS+vVq7a8b2j+MO45Is6V+1PP/3E7NmzL5mg2RgicArtlq9WJjnMr7WLIbRTfRODeXPWIHJLq/ntSCHl1TaMvjpGdg1vk32ajTVnzpzWLkKbJQKnIAjCBYgO9uXGy+JbuxhCCxJtV4IgCILQCCJwCoIgCEIjiMApCIIgCI0gAqcgCIIgNIIYHCQIgnABsvJLWbPlECZzNYEBvlw5rDtxkcGtXSyhGYnAKVxSSiqsZBRV4q/XkBwZ4LZu56Wg2urgx1057MooQSPLjOoWzpgekWjOSQpRkxflUvv3aYyU/Sd58f1f+GnDXuxnJULQamUmX9GHx++awKBeHVqxhEJzEYFTuCTkllazYNlBftyd41pPsWOEP49M6sq1A2NbuXQtY+vxIu57P4WySpsre9KHG9NJCvfjw/uGkhBmoLjCRnapBXO1AwkINGiJDdET7CcS45/tuzW7ueOJJVistZcZs9sVlq3ZzYpf9/PRwllcN7ZfK5RQaE6ij1No9/LLqpn28m/8uDuHIIOO/h2C6RJtJL2gggf/u5MPN6a3dhGbXXpBBXe+vY3yKue6kHZFdWW7ySyuYsYbmzmeV8mR3ErM1c5l11SgrMrOwewKckqrW6vobU7K/pP1Bs2zWax2bv/LElL2n2yhktXv3XffZdSoUYSEhBASEsL48ePZtm2b2zFff/01EyZMICwsDEmS2LVr13nd68EHH2TQoEHo9Xr69+9fa/+6deuYOnUqMTEx+Pv7079/fz755BO3Yz744AMkSXL7OTcF3jPPPEP37t3x9/d3vaatW7e63efca9T8bN++/bxeWw1R4xTavVdWHEUjSyy+tT9X9YlxNUtmFFXw+i9Hmf/tAa7pH0uY0aeVS9p8lmxIw+ZQUerITO1QVCKMvhSY619sOb2wmg83pCNJcM2AGHrFBzVjadu2F9//pcGgWcNitbPo/V9Y+s97m7lUnq1bt44ZM2YwYsQIfH19+cc//sGECRPYv38/cXHO1YYqKiq4/PLLueWWW7j33gsr71133cXWrVvZs2dPrX2bNm2ib9++zJs3j6ioKH744Qduv/12goKCuOaaa1zHBQYGcvjwYdfv53YbdO3alddff51OnTpRVVXFSy+9xIQJEzh27BgRERGMGDGCnJwct3OeeuopVq9ezeDBgy/o9Ykk70K7Vm11cNXC9XwyZwShAT5oNWcaWRRVRZYkFizbT2yIH3eP7ohGcl8ou70Y/NRKiszWevc/fk0P+iaEINeTAN+hKKw9kMeHG9NwKCrje0Xy6u0DMfg07xJUF6I5krxn5ZfSbfLfcDjqT+5+Lq1W5tCPz7WpAUMOh4OQkBBef/11br/9drd96enpdOzYkZ07d9ZZY/TWM888w7fffutVzXXKlClERUXx/vvvA84a58MPP0xpaanX96v5e69atYpx48bV2m+z2YiLi+OBBx7gqaeeqvMa3r4vRFOt0K4Vmi3ce2XnWkEzs6iSZSlZfLvjFNOHdaC4vBq7Ah4Wu7ioVVkdHvd3ijTWGzQBNLJMp0ijq394zYF8/vTprqYs4kVhzZZDjQqa4OzzXLvlUDOV6PxUVlZis9kIDQ1t7aIAUFZWVqssZrOZDh06kJCQwNSpU9m/f3+951utVt555x2CgoLo16/uPuVly5ZRVFTErFmzLri8oqlWaNcCDTqmDopzBc2SCit//Xw36w/mU9PUIgF9EoIpqbAS4u+DRoX2tvJY12gjezJL62yqBbArnoOBqqrYznqqUFT4eXcux/PNJEdeOuubmszn19drqmhbfcTz5s0jNjaW8ePHt3ZR+OKLL9i+fTtvv/22a1u3bt14//336du3L2VlZSxevJgRI0awf/9+4uPP5AX+4YcfmD59OpWVlcTExLBy5UrCw8PrvM97773HxIkT3c4/X6LGKbRrRl8dep2zObHa5uCOt7aw8XABZ8cPFdh/qow73tpCtc1BIysUF4XfX96h3qAJsONEscfzVSAl3f0YWYKVe/OaoHQXj8CA81v1JNC/7ayWsnDhQpYuXco333xzXmuRNqW1a9cya9Ys3n33XXr16uXaPnz4cG6//Xb69+/P6NGj+frrr4mIiHALrgBjx45l165dbNq0iUmTJnHLLbeQn59f6z6nTp1ixYoV3H333U1SbhE4hXavpht/WWoWR3PLXc2NZ3OoKkdzy/nTJ6mcLKho6SI2u+sGxjK4Y0it7TX9uVGBPtRXyXYoKlVWB+sPugdJWZKosHg3SKa9uHJYd7SNXNdVq5UZO6x7M5WocRYvXszChQv55Zdf6Nu3b6uWZf369Vx77bW89NJLtfpZz6XT6RgwYADHjh1z2+7v70/nzp0ZNmwY7733Hlqtlvfee6/W+UuWLCEsLIzrrruuScoummqFdk2SQCNJ2BWVb7ZnIgGeRsOt2Z/Pmv35/H5kB56+oVetxACtpcJi57uUbFbuy6XK6qB3fBAzhieSHFV/M6mpysZX20+x/XgxO9JKKCi3IElw9nDAYIOOp2/oxdRBcZRU2DiSW+GqmSqKiiRBldXOP74/QHm1e5C0KypHS6r5v5+PEqDXMCwxmOEdgvDVtd0BQxcqLjKYyVf0Ydma3V6fM+WKPm1iYNCLL77ICy+8wIoVKy54VOmFWrduHddccw3/+Mc/mD17doPHOxwO9u7dy+TJkz0epygKFovFbZuqqixZsoTbb78dna5p5iOLwCm0O6qqcqSwkoN5FSiqSvdIf5JC/SkwWTwGzbP997eTGA1aHpvS+jWF43lmbn1jC/kmiyvw70gr4f31afx1ag/uGdOp1jnrDubzxw9SqbY63Julz/kHKKm0kVvm7H8L8dcxMCmQfJOV8io7+7PK+GVPLhsOF1Btqz24SKuRkHx1lFbbKa228+XePNYdL+aRKzoQbGi/CRMev2sCK37d79WUFF+9jsfumtACpfLsH//4B3/729/49NNPSUpKIjc3F4CAgAACApwPX8XFxWRkZJCdnQ3gmgoSHR1NdHS01/c6duwYZrOZ3NxcqqqqXKNqe/bsiY+PD2vXruWaa67hoYce4sYbb3SVxcfHxzVA6LnnnmPYsGF07tyZ0tJSFi1axMmTJ7nnnnsA59SZF154geuuu46YmBgKCwv597//TVZWFjfffLNbedasWUNaWprr3KYgpqMI7UpxhZX/+2wrKalHcNjthEWHk9SrMz1jg9mQksXujBKPfX1n02tltj03nsBWDAJWu8KYF9aSb7LU2cQM8N49g+kQ7s+20/2U0UF67ns/BbtD9epBIdTfh83PjMPnnCbIE/lmJvxjQ733jQrzY1Av9y9UWYJOoQYeuSLJizs3r+aYjlJj2drd3P4Xz0kQ9D7aNpM5KCkpiZMnaydiePrpp3nmmWcA5xSQukacnn3MnXfeSXp6OuvWrav3XmPGjGH9+vW1tqelpZGUlMSdd97Jhx9+WGv/6NGjXdd95JFH+Prrr8nNzSUkJIRBgwYxf/58BgwYADj/frfeeitbt26lsLCQsLAwhgwZwpNPPsmQIUPcrnvrrbdy8uRJfvvtt3rLXMPb98UFBc6FCxfyxBNP8NBDD/Hyyy9TXFzM008/zS+//EJGRgYRERFcf/31PP/88wQF1T9hWlVVnn76ad59911KS0sZOXIkb775Jl26dHEdU1xczAMPPMD333+PLMvceOONvPLKK66npYaIwNn+5RaZuHL2v0k7kYVWIyNJEja7A61WQ0BwIGaTGQUZ34ho/OKT0Br8Grzma7cP4JoBrZeS74ed2Tzw0c5698tAgEGLqerC+hq/fmgEA5Lc+0AX/XiIt1Yf9/igccXgeAL8aieO+OuVHYkLat2BJ80ZOMGZQWjR+7/wYx25aqdc0YfH2mGu2tGjRzN27FhXIG1vvH1fnHdTbc3w4bM7mLOzs8nOzmbx4sX07NmTkydPcv/995Odnc2XX35Z77VefPFFXn31VT788EM6duzIU089xcSJEzlw4ICr8DNnziQnJ4eVK1dis9mYNWsWs2fP5tNPPz3flyC0I4qicM2cN8g46cwUYj9raKzd7qC0sMT1e2XWSSqzTqILDME3MhpDVBxyPX0flQ3Mf2xuGw4VoJGlemt9Clxw0ASwnDOBVVVVPtuc4TFoShJk5pbTvWMopSYLWfnlWGwOHOUmbl+5gZL8Anx9dFw7pi933TiSqLD29cA6qFcHlv7zXrLyS1m75RCmimoC/X0Z205XRykrK+P48eP8+OOPrV2UVndegdNsNjNz5kzeffdd5s+f79reu3dvvvrqK9fvycnJvPDCC9x2223Y7Xa02tq3U1WVl19+mSeffJKpU6cC8NFHHxEVFcW3337L9OnTOXjwIMuXL2f79u2uTu3XXnuNyZMns3jxYmJjL40k3UL91mw9zP7Dpxp1js1Ugs1UgjntKCF9BuETXHsyeGcPg29agjOfbPP2pmhliS7R7q/T6lAoqag/BR84+0srq2ykHsgjr6gSSYLy9GOY045y9iik3YdP8dJHq/n+jTkM7dux2V5Ha4mLDOa264a1djGaXVBQEKdONe4z1l6d13SUOXPmMGXKFK8mz9Y0k9QVNMHZ7p2bm+t2raCgIIYOHcrmzZsB2Lx5M8HBwW4jwcaPH48sy25Jfc9msVgwmUxuP0L79c3qXW6ZgRpDddgp2bsDh+XMJHVZgi5RAQzoENxEJTw//RKDaSA3wQXRyBLXDIghLEDvtt1HI+Or8/zvKUlgrrSRV1QJQFVBvjNogtsoJEVRqaiycP3cNyhvY4kABOF8NPqbZunSpaSmprJgwYIGjy0sLOT555/3ONy4ZkRVVFSU2/aoqCjXvtzcXCIjI932a7VaQkNDXceca8GCBQQFBbl+EhISGiyvcPEyV1pRLmCcm+pwUJWTCTiDiV6nYfGt/Vp9Pcppg+Pw9dHUO8fyQsgSJIYZeOr6XrX2SZLEtMHxHqfjqCpUVJ2plVZkptV7rKKolJZX8dmPF7YqhSC0BY0KnJmZmTz00EN88sknDXaom0wmpkyZQs+ePVulI/mJJ56grKzM9ZOZmdniZRBaTtekqIYPOocuKBRj5x4EduuNX3wSlpJiZAkm9Y3mu0dG0jcxuOkL2kiBBh1v3DkQrUZq0jmlEUY9D0zowrePXE5oQN2rwtx3ZScMOk2d6QclwHjWGp2qqmIr85x9SJYk1u84ciHFbnKXyKQCwUvevh8a1ceZkpJCfn4+AwcOdG1zOBxs2LCB119/HYvFgkajoby8nEmTJmE0Gvnmm288TjqtmR+Ul5dHTEyMa3teXp4rM390dHStNEp2u53i4uJ65xfp9Xr0en2d+4T2546pw1jw9k940x8oaXXOPs2gENSadtDTfXJTLovn1emtP33gbGN6RPLDn0axZEMan2/NrDUX05PYYF+yS6uRgKGdw7jvyk6M6hbhVRDuEO7P0rnDeOCjnaQVVCDXdFtKcN2AWKJCDbyz6nijXktbiVM130mVlZUYDIZWLo3QVlRWOrsdGkqU0KjAOW7cOPbu3eu2bdasWXTv3p158+ah0WgwmUxMnDgRvV7PsmXLGqyZduzYkejoaFavXu0KlCaTia1bt/KHP/wBcOYtLC0tJSUlhUGDBgHOSa2KojB06NDGvAShnYqLDGbhn2/isRe/QJYlFA/DQUN6D0RndE6PkmT3Rpfvt55ifLcIrmuhKSiKqpJVZsHqUIgM8MGor/sj2TXGyILf9cVXp+G/v52sd5RtDVmCwR1D+fiPQ1FPJ60/nz7gXvFBrH5iNFuPF3Mwy4ReJzO6RyRxIQb2Zpa5AqckSegCg7GZSuu9lorKyAHJjS5Dc9BoNAQHB7seyP38/Fq9WV5oPaqqUllZSX5+PsHBwWg0nrNfNSpwGo1Gevfu7bbN39+fsLAwevfujclkYsKECVRWVvLxxx+7DcqJiIhwFaZ79+4sWLCAadOmIUkSDz/8MPPnz6dLly6u6SixsbFcf/31APTo0YNJkyZx77338tZbb2Gz2Zg7dy7Tp08XI2oFwFlh/OP0K4iLCuGf7y8nZX/tyd4AuqCQOkfPui4CvLT8aIsEzl9PlPDz4QJKqx2u2w+INXJjn6h6M+/cPiqJTzadRKH+urWPVuaWoQn89boe6M5zwNTZJEliWOcwhnUOc9tuUC3IGYcoNlWg8TdiiE2sN3DKkoSfwYeZ1152weVpKjWtVXUlBRcuTcHBwV5lSWrSlHupqamuUa6dO3d221eTNQKcqZzKyspc+x5//HEqKiqYPXs2paWlXH755SxfvtyttvrJJ58wd+5cxo0b50qA8OqrrzZl8YWLnCzB9WP7cN2YPuSXmBlw/bOUmavcjvENj0JVlFo1zbOl55sxVdmaJWNQpcXOhxvT+c/6NIrNVjSyREyEP50Sggnw82FXdjkniqp4fGxHgnydH8/MokqWbEhjWWo2lVYHMcEGskursDucobMmDZ+vTuaxKd256bL4WmW32ez8tGEfpopqRg/pQmLMmSBoqrJxsriKYIOO+BDfBmteNpudq+5+ma17089sLHQGH21gMHZTqdt0FFmW8NFp+d9Lswk2Npx0oqVIkkRMTAyRkZHYbJ6n3gjtn06na7CmWUOk3BParccXf8UbS9e7LTwc2KUXhph4j4ETYOsz44hs4sw35mo7M/69mQNZJrfEApLkrJFd1ieGkCBfZAku7xjC7/pFs/NkCbe9sRWLXXE1z9bEpKQIP5LC/dHIEiO6hNcZMFVV5a4nP+R/y1Pcmnc7J0bwxvxZvLU5j21HCl0JIxIiA5h7VTK3DK5/zcKRM18k9UBGvfsNsQkoFgu28jIkWcYvMpr/PnkDE4e07BxO8ZkXmotYVkxotx78/ZUEBfiiOau50l5RfmYtrXpoNTInmmFpsX/9fLhW0ARnEHQoKqkH81BUFUWFLSdLqbI5mP3ejtNrhKpuxwOcLKxkQFII/7lnCHeN7lhnDXn83S+z9KcdtfpEj2UUMOGORWxMTXfLsnQq38xfPt3N62vqHvSz+9Apj0EToDovm5A+g4gccSURw8YQ2LkHX+wq9HiOIFxMROAU2q34qBBWvfcI3c6aqlKVnw2K4nHYeYCfjlnvbCOtCYNnldXB0i2ZHlPYWawO8k8nE7A6VH7YlUNhubXec1QVPtzoHvjOtmbrYTbt9DDqVVUpPei+PJZ6+rqv/HyEkgprrVMWvPtz/deruYbDgbXsTIpDh6Ky9mA+ZZWiOVRoH0TgFNq1Hskx7PjfX+kxZgzGzj0wduyG4rDX24/nb9BRZrZgc6i8t+5Ek5Ujo6iSqgby3koSmMzOtQQl4FCWCa3Gc+242Gwlp7TubDzPv/lDg+WymUrPTMk5i92u8Nb62gkNCorLG7wmgKPavW9ZVaG00ur2e82PIFxsROAU2j1JkrhtQh+MCUn4xSWi8al7fq+/QUtVtc3VdLosNbvJyrDjhOfkAACozoE0sgT9Yo3otbJXaWrrm5N5Krekzu3ncthq1ywlCY7mmmtt13m5SLWkc0+qoJUlwgL0KCpY7WBxnPmxKyKAChcXETiFS8LvR3Yg0KDzOPG/osru1izaUA3RW8VmK89/e6DB41QgMtQPWZKY1C2cUd3CTyd5r5sEdIzwJya49iAmVVXx0dedEehccl15pFXw09cOkgN7JXl3TVlGsVooTztC/ua15KxfwWU3z2fRkpWUnjPS2a6A1SGCp3DxEIFTuCREBPqydO5wYk8HmYbmuktAUrh/k9z7i62ZWOvphzxbWLAvieH+zB2ZQEKwL8M6h9Ej1lhvsFeB+8cl12p2/mVvLuMWrKfAJ6zO886m8TUga+pYtQiYcVnt/M6bTtauhdZFsdsp3PEbFSePo1iqcTgcpJ0q5LnXl3HVrMUUlbpfR8UZQAXhYiACp3DJ6BZjZN3/jeX9e4dwy9DEBo///aimWYR458kSr5pcX/39AJ6f1Jku4f6uzEf/uWcI8aHOlHA18bEmkN5/ZTI3X+Y+bWRZahb3vZ9CekEFfnEdkOpZlaiGMblHndu7xAUysot74D2eZybNYmjwqUNj8MN88hiKtXYTsKKqHM8s4PFF/6u1z+ZQKTbXPkcQ2pomTYAgCG2dLEuM7RnJmB6RRBj1vL7yqCuBgOsYCS5LDmX6sIaDq1f3lCRq3eQcWlliWFIwP+3K4b31aezOKEUChnUO4/+u60F5tZ0fd+VQXm2jS5SRGcMT6Z0Q5HYNi93BU1/ug9O3kiSJ8CGjKErZhGK1uJdJlpg4ZTS7zAZU9UwsVFVIjjby+R/OpLIsrLCyNaOMH1Oz0Oj1+MV1oPJUer2vZfK4QXz/w8Z69zscCt+tSuXvj9xIVPiZ+ZWyLDHxxQ0kR/rz8KSutTIVCUJbIQKncEmSJPjT5K50jPDjjVXHOJ7vnHoS4qfjtss7MGd8Z3y0TdMgc3nXcJbvqXv5O3AG6hFdwpj/3UGWbEh3JVNXga3Hith0tIi/XNud9+4d4vE+q/flY6qyu23T6H2JHHEllqICKrMzUBUHs6cM4IUHrsHHR0tuaRX/XnOC4wUVBOi13DosgdHdwpEkCUVV+WZfPmuOOVeNSSuqAhWMyd1BVanMOp3WsCYjgywT2LkHvTuE8X0D/yYORWXvkVNEhfd0226xOdh+opiZb2zhtdsHMrl/TD1XEITWIwKncEm7YUg80wbHkVtWjc2uEhPi2yT5Xc/WJykEnVbGVk8nnqJCl1gj761Nc/1e43RWPRZ+f4hR3cLpGRdUxxWcskqqkCXqnPepD4tAHxYBwI1Th+Hj4/zoRwcbeP6G2utxAvxypIg1x4pdZTL6+7hqsoFdeuKf0JHqglwUmw2NrwHfyGh8ffVEB3u32sjZSecdisrujBLKq52BXwIeX7qbsT0jMfh4N5JXEFqK6OMULnmSJBETbCAx3K/JgybAjuxyhvaNQXtODbamp7BXchjrDxd6HPGrkSU++c1zxp5Qfx+PCRbOPq4hVrvCL0eK3LaFhxgwnLV6i8bXgH9CR4yduuIXm4DOx4cbBsdx9eU9G8x362fwYXCfMyn4NLLEO6vPJGtQgQqLg5925TT8ggShhYnAKQhNQFVVtp8o5t8rj/HGqmPsTC9xZSc6WVJFYICeMUMS6N4plJAgX4KMehJjAxk1KJ4OcUGcKqz0uFSYQ1HZlVHqsQxX9YlC5yFhgiRB1+gAukQHNPh6jhZWYjmnhixJEgN7RqHRSJx7F1mCzpEBPHFdDxKiQ7h54sB6HwQkCe69+QoMvjociopDUXj2672sP+S+SolOI3Esz7tRvILQkkRTrSBcoIzCSu5fsoOD2eWuYOFQVPrEB/HGrIFoT2/z0WnoFB9Mp/jgWtfwZmFpfQN9rukFFR5rnKoKf7m2h1frTlrOmj5jsTowmS1IkkRwoJ7LB8aTdqqMrPxyHA6V6CBfZo5M5M5RHQk4vaLLv5+6lZyCMjamHEOjkXE4FLQaGbtD4fpxA/jzPVezfHcOx/PNfLUtk3yTpVYZHIqKv69ophXaHhE4LyFZZdUcLXTmQu0c7kd8E6/+cSkyVdn43eubKSh3fvGfXWs8kG1ixr+38MA1PcgzW+ud4C9JMCg5lN8OFtRb65QlmNDH8zqBC78/5DEHr0aWSC+oYOuxIoY2MGI1xqjHanNw4HgROQVmV9k1skSHuEB6JofRu0s4j49JokNI7T7NAD89P7/9IB/8vIt31pygQNGjSjIRATrGXpmM0VfLS8sPk1VcVevcGooKV/cTg4OEtkcEzktAWbWNl9alU3DOiMvoAB0PXN6h3kWThYZ9viWTPFN1nUHRoahkFVdRXFKJTpawOdRaM1IkQCdLPDqxC1sOF6IotY+RJQjw1XLz0PqX+soprWLzsaJ699eU57nTGYz89RqeuK4HM0fUPVc1UK8hdV8uJeUWt/I4FJUTmWVUVtm4bniHOoNmja0ninlxfR4OyQ9Vcl6l0GxjwfeH+GJTGmGh/h4DZ3S4P/6+4r0ptD2ij7OdyzFZePLnY7WCJkCe2cbzvxyn2tY0qeUuRd+mZDWYKm7Fnlz+OCLR1dQqcWZgkF4r88cRifRLCOaduwfj66NBkmrW6HQeYzTo+PC+oYQF1J1jF6izqdOTCouDJ/+3j/frSOQOsHRzRq2gebbcwkp6hdTfYmGxOfjjB6nYHIr7kmg4m4yPFVRTaVXo2zUC+fQLrZnuCs6g2a9bBIcLm355N0G4UKLG2Y4VmK0sWHOC+jKZqUC1ovLlrhxuG1J/bUaoX11Lb51NBUorrHQJ92P+pM5szSjj2Onm8i4RflyWEERZhY1/rzxGZnEl04cloNPIZBRVIksSI7uGMXVQHP56zx/VcGP9QdWTBd8f5M5RHZDPWdj7s82eR/BqZInV+/K4bkBsnft/3JXjeRkxSeJktolxwzoQFe5Hdn4FFVVWtBqZmIgAjP4+zpwRIn+t0AaJwNmO/W9PrmseoCcpWeXc5nluvVCPThH+5JVVuw3KqS7MdyYbcDjQBwWR0GU4AAadhjHJoYxJDnUd+++Vx/jXz4cBZ4YhFWdz6OT+Mfzr1n7oz1qNJKukiu0nilFVlcEdQ0kI83PtiwsxMKRTCClpJV5NSalhd6gs3ZLJrec02eaUVnvMEuhQVE4VV9a7/8DpJdHsHt6ANrtCtdWOn6+ODrGBtfarQKcw7+aECkJLEoGznSqpsrE/z7tmLtWLUZZC3WaM6MBvR519i3ZLFUU7NqGetUyXrayYL/+TzmVB1cydeaXbuZ9vyWDxT4ddvytnVa+W787B30fDizP6UVZpY97ne/hlb66rBiYBV/aK5MXp/QgNcM7LfOLaHtzy+mZQ1EYFzwNZplrbQvx9qLTW3/8oSxDhoZar08he1hbrPkhRFDqG+ZHoZTIFQWhJoo+znSpsoAnxbHovpkIIdRveNYzEyAAURaFo+29uQbOGqqo8tvhrvl6Z6tqmKCqvrDha73UVFb7afoqThRXMfGMLq/bluQUiFVh3sIDpr2+m0uLsvx6QFMJ/7x9K4lk1UW/U1cx782XxeHpbKKoz61J9ruwV6XFeqqqq2CvKMeUXoqoqyunFtFVVRVVUsNm4+zLRfSC0TaLGeQEcisqrK46wZEM65dV2JCAx3I/Hp3Rv9RybDc35O5tsF4ODzodDUXljUya9u0VQdDKNfLuHPj3gL//6hhuuGgjAoRwTOaXVHo9XVXhlxVH211EjrLn/0TwzX247RZhRz0+nk8CP7h7Bg4nBVNsV/vrF3gZfx92jO9ba9vvLk1i6JZOCckutAKiRoF+HYK7sGVnvNQd3DKF/YjB7T5XVGUAlScKcfozlqZtI7tON7oN6YQwOpLqyiqO7D/GPu0YT5uccUVttc2BXVPx8NM6E+YLQykTgPE82h8KEhetJL6wkJtiXq/pEo5El9mWWMefDVO5MS+LpaXXnAG0J8UG+hBp0FFd5/jIPN2jpFy6aw87H7pxycsqtIEkUp9U9OvVsmbklVFZZ8DPoqbQ0/LAiSxIpacX15p+t8fdlB7HYFddxm44W8eGvJ5l7VWemDozhu9T609ZN7heNsY7pSKEBPvzvweE8+NFOdp4sdW2XJJjYN4aF0/u45Zo9lyRJvHPPYG5/cyuHcspdi8PU/DdEayW3IBdJlji66yBHdx10JUh4bu61jB3Ume/357PiSJGrCVuSJHpE+nPXkFj8fMRXl9B6xLvvPM1buof8cguLb+3P1f1ikWUJVVWRJIndJ0t47LNdTOkXw+BOoQ1frBnIksQ1PSP4KCW73mOC9RrUCivTJnZuwZK1H7uyyl0Lg9jqWHuyLn/8z1b2F1iQ1AZXGsOhqlhsSoP9lTWp8WqOq6nhvb7yGItm9KXaprBib16t867sGcnrdwys85pWh0JmuZVrRyYxqEclliobXSL8GdsjgvhQ75qCI4x6vnt0JPd8sofj2SYcDgV/Px0J0YH4G3R0ig9i39Zd5Jw4hV4rM2pQZ26cNJhXtpv4+Z+/0rVDCLIsuWU6OpBn5q/LjzJ/YhcCGhhpLAjNRbzzzoNDUfk+NYv3Zw9jYMfQs+ahOf/bKz6IT/44nCe/2MOH91/WauU0asBcWolfoOH03MAzX0AGoIu/ljuu7uJVCjahtiq7w9XvGBAUiLm0vMFzNpwwodbK9FqbLEFkoC+dIvwoKLc0arBPDQl4c9VxVj0xmtyyal5efoTskmqig315ZGJXYkPrbmnIKqvmtd8yKLc4ziqpREphFb0qbWw4lMFnmzPILqkiNMCHm4fGM31YIoF11FyzTFaMgb70D6w95zMiPpoevqMI71tJUoiB3JIK/rGpBJPZypguzqXNzn1vSpKE1a7y9pZM/lRHE7MgtAQROM/D8bxyRnaNZEhy3WnLtBqZ0AAfBrVSbRPgYLaJm17djNXmQNbIxEYGYNBrsdod5ORX8PyNvbhRzN28INEBeg7lO/PDDr5yGD8s+crj8drAYK+CpkaW0MgSL/++P3ll1Ww6vbRXY6nAiYIKskuriQsx8I/p/Ro8p8rm4NVfM6i0OlzXqGFTVP6zLYuNKaeoqLShAsUVVhZ+f4i3Vh/nzlEdGdwphGHJYa6Hyap6kmuYK61s35tLlcU5NiA7/0xaP6O/D34eMgZJksTxoiqsdqXJ1kwVhMYQ77rzYKq2c92gOOyO+lILgEaWmTqo9QLTC98ewGpTcKjO+XIns00cSivmRGYZVRY7z369n2qrGBR0IUYmBbtqgpEJ0UR1iKv/YEkiuEfdgUsCVyJ4jSQxoXcU3zw8kqHJYVzdL4bBHUM8jnBtSH3rgNZla0YZZquj/qQZKiTFBbkFVFWFkgobLy0/wsw3tjL27+tITS8BIDKg9hJmDofCtj05VJ8eDVyTTahGeYWVUpPngVOSJHG0UKycIrQOETgbqaTCytEcM91ijB4HRwCE+LdOns3skip+O1qEw8NEuvJqO7/sy23BUrU/0YF6pvQIB5zBL7jvEAwx8c4RNGeRfQ2ED7kcraHuvkEV6BlnZNtz49m3cCJvzBpEzzhnQgCdRuaD+y5jeJfwWufZqyopP3GYop1bKN61lYqMEyjn9LUGGXTEesgne649OWeam6uqbRxKK+a3nVn8tjOLw2nFWKx2osL8PV7jVHElt76xhUPZJsL9fega7ucW+LMLKqi2Ojz276Zn1z2S+GzPfnewwWMEoTmIwNkImUVVWOww7bJEkqOMHo9V1MZNQm9KOaX1T1yvoZEljwm2Be9M7h7BHYNj0akKZeUWgrr1wdilJ5L2zEOTUl2F6egB7JX1J6TQyDIRRj2+PrWX0XIoqqsGV6MqL4vCbRuoyDiBrawEa2kx5ScOU7B1HdayM8dO7BvdqOZM2+lMP7mFFazbnsmJzFLKyi2UlVs4nlnKuu2ZFJbUnzEInIOU7A6V135xzlP9Xf9o9FqZ8goLR9KLOZZR4vF8gPyi+v+tVFVFVVWyiqtd8z8FoSWJwOmlgnILEUEGgvy8r0UG6FtnLUFv1nZUFNWVcUa4MJclBHF5vLOGWJGZRvmR/ajnzOm0lhRTlLoJe1XtgCBLMKpbRL3X/zYly61Z3VZeRtnBPXUmclUdDkr2bHfVPKcOrDuXbH06hPhSWWVj58G8OjP/qCrsOVzQ4HUcisqKPXlUWuwE6DRkZ5SwMSWL45mlVFXXXnCg1vkO1S2T0tkkSaK4yISPTuZQbsM1U0FoaiJwekFVQUV2TTdpiKKoyJJzonhr2OLFYBJZlpjUV6x12FT0Og2K1Ur5icP1HKGi2h2Y09yzBUmATiszY3hivdc+kGVyexiqOJVeqznY7U4OB1W5p9BI0L2OHLCeXN4xhPTsMo/zZLxtSHGoKuXVduZ+mMq200ueeZu0XQXMp7Nf1QTQmrVGD2zbw5Z9+USE+LH+sOel1AShOYhRtV7ILK4kMsi7uWuKqqLVSOhkj99tzWpZalaDxwT76RpVexY8u7xrONbCnAYig0p1QS6K3Yas1SFLzj7Md+4aTHRw/Ut0ndvUaikqaDACWYoLuOb6y91aFVRV5XBOOTml1YQG+NA3IajWg2C0UU91hdXr4OiJXiuTWVzJ+kMN11Dr8mtqFtHh/sRE+KPTylSYq9izbjMFaSdJumoSOq3MqTLvU0sKQlMRgdMLOSXVXgXO11ceISLAhztGJTV/oeqhqirpXqxh2JiUfELDgv19SA7RklKTEaE+qkrHEC1BIUGM7h7BjOGJxDSQyHxcz0j+++tJt2s0xEcj8eT1PV2/bztezDNf7+Ng9pnBPx3C/fjrdT2Y0Cfa7dymeG9oZIkbhsSz9kA+GllyS7vXIzaQQzkmr2qfuYUV5BScGT0rRSQQHtuZgT2jUYGCctFPL7Q88e3pBXs9AxC27TnB7Y//h9jLHyFi+IMs+tcn7N97xNWk1Bo2HS2iyup5wIR0Hk14QsMio4LxpiEzKSqY7x65nEev7tZg0ARn/2fX6ABXc60uKNjj8ZIkccfEvq7k7duOFzPzjS0cznFP0JBRWMn976fw4y73lHxDk0M99pPLEsQG+xJeTx+5RpYI9tPxwITOmKvtbi0vRl8to7pHIDc0n1VVUVXF9XpcP4YAZLuNTbvz0Os0lFSLKVVCyxOB0wtdowMoMFW7DVZY+uNWJt3zEj9v2EOVxYbdrmAqLOK1d5cx5/nPWi14/m9rZoNz/lQVbhvZwfNBQqMUmK0Ykzo0GDd9QsJZf6yMA1llXl9bliU+vG8oSeHOVg9jgueMObIkMWfGaMDZAvH01/vqHOWtnv55+qt92M6ak3z75UkoHlc2gXfvGcy258bz3I293JYXk4Aruofz7SMjiQk20CkywK22eXm3CG4emljvwJ8avhoHtuICqnMykCuKqZn5JUkSssEfLGb2HM0jOEjkWRZangicXogI9OXV5c5BH4qqkplbzNznPnEujVRHEoQl32zifytSWrqYAGSXVjU4DUaWYEyP+kdxCo2XVlxFQHAg3Qf3rv8gSSKgYxc0ssT3HhKv1yU62JefH7+CN2cN5Jar+tFncF/AOY2lhlYjI0kSbz8zk47xznmfh3PKOZRd7vE9UWS2svGsfshe8UE8c2Ov09c/8xSmkSUk4LmbetMzztk/+vvLk9j09JV89dAI/nv/UH7925W8f+9lrny20wbH4XPWfGc/Hy3xoX788aoudZZFI4Fis1KtaPEJi0IfnUBFhYW8bb+hq3Y+bKiKgqqoFJdaXRmKBKEliT5OL8WHGnjooxTmXduTj77ZhKeqhSxLvPHZem6ZNBhTlY3vUrI4kmvGz0fDxL7RDOgQ3Gz5YYPqyBd6Lr1WFvlpm1jNP2f/scPJyKug8lS6W1+krPclqHtffAKDkQBTlQ2HorL2QD5fbM3kVHEVkYF6brosnol9o9HVkVxDp5GZ1DfGORp6Zn9W/Lqf1z9dx9Y9J9BoNEwY0YMHbruSwb3OtCY0tHTZucdtPV7Eu2tPsOFQARLOKVUOFXy1MiO7hnPHFUkM6BDidq5WIzMwKaSOq0KgQccLt/ThsU93I0lwPN/ZXznnqi6EG/W8teoYeaezBEmAQ8VtDqwkSfiGR+ETFEJW6mY6jRhOuaQ/fTSu7EOC0JJE4PTS3WM60e+vK1i9Pw/r4d0eF+lVFJWdBzP4YWc2j322G4tNcT25v7P2BEOTQ3n7rsHNMqrV34u5oxa7gsXuQK9tnXmm7VGXcD8kwFevI6RLDwISO2EpKkCx2wkPDyYkOop8kwW74pyfGBdi4O53t7P+UIFr8MzhHFh/qIC+CUH89w9D60yafraJl/di4uWel67zdq7utwcK+HpfPqmH3AfzlFfbUVSYPDSBhb/rc14PXDcOiSfcqOfVFUdITS/heJ6ZpAg/pg/vwM1DEzmcYyKnpJK5H6YAdSR2l2VkHz3+iZ3IO3iIUdMmsGvXCRTAViEGBwktTwROLwX4avnXzP48/PEuzN6spSjLPPjfnaA666b2swLt1uPFTHvpVyb0da7hOapbBEOTQ5ukFphd0nANQ1GhqNzaqFRsbVGOycLa48Xsyi7H5lCIC/JlTKcQ/BUbX/52DF+dhhljuhEf4Xkg1LHMIp55ezmrN+7BLySIQaMHE9UhDq1WQ8dQA2OTQ+kdHeDx7xNs0DEoPpCULBMJ0UZOZqvcNGkI943rTJdoZ5ap0gorn20+yX/WHiejqJKNpxMJ1ASpmrfI/iwTjy/dw1uzBl3wv1HfhCASw/zILKqst41Eq5EwGLRsTMlyK8/ZZfpiayajuoVzzYAzCRVsdoXiCht2RcVXJxPir6t3oenR3SMY3T2CIrMFq11Fc/o4jSzRMy6IXw8XoKr1T+GSJAm/mATyjh0k1Kijd+8E0rPKCYkIatw/iCA0ARE4G2HqoDjiQg3csyCfw0X59R6n1ciEx8WiQL3JstMKK3l7zQk0Eryx6jg94wJ59+7BFxzMKutZjeJcNg8J6i8GB/LMvLk583RyCqe04ipOFFXiY7UT7h9EhUPh92/voLq0mJ+fnkKw0f3fVlFU/vLRZn7ddZQu/XtwTa9e6PQ+qIqKIslYHSpHCis5XFDJ+C6hTOsd5bFM0/tHU1RpozoxhGv6RDNnfBe3QTbB/j7MvrIz0wbHc+3iDfX2OzoUlV/25HKquNLrtS/rI0kS/ze1B/e/X3+fe7eOoWTle57CJEuwZEMa1wyIRVVVThZWkVvmPt9TK0skR/oRGlB/TTkswDmQSFHBrjhT/GlkiZ92N9znK8kyGl8/bFYbcdHBxEQ6H4iyyqqIE4OEhBYkBgc10uCOofz68q1EhATUO2RfUVQqg2O9ylV7OjUoh3PKufWNLRe8YknXBnLo1gj2u3jT7VXZHLy9JRNFde9pDpDhoREdWHhTXx65uhuPXdOTn/9yJc/NGs3YZ5ZjPeuhwmpXePKb/ZQHBDJg9GUEBBmdQVMF+az+xZpuylVHi9mX63k1DoNOwyOjOvDw6CTmjHcOfjl38IpGlogK8mVaA0u6qcCWY02TFcfPR0uv+MBaE0C0GolencPoEBtEWbkFgOBAPd07hdK7czhJsYHoTs/pVFTYf8qZ3i69sIqcstpJEuyKyuHcCsoqbTRElsBHA5Ji4+p/buBwtsmrFhedMQidwRl8NRpnV8MJkXNZaGEicJ6HAD89P771AKFBda8Soagq5ccOoijeB0GHonKysLLWnLrGuvGyhpcy6xZjvKizBm1KL+XclbLC9Rr+NLYzcadr7BpZdj3YDO8cxjtzx/LXj36j0GxhR1oZW4+XYJI1yBoNpeUWUg/ksfzXNJb/msbarRmcOFXq1mQpS7DueMOpDDWyRLeIgAaPmzGi4elANbdfsSeH+9/fwb3/2cEXWzIaNdVp8U+H+f1bWzmYXe4KdDXxKTEmkBKThW17crBY7AztG8OI/nEkxQYRH22kR3IYVw5LJDbS+Xp0GhmrXSG3gWw9GUXeDUgCOJpbRm5xJRov81P6BIdQUeVwC7IdQ+rPuiQIzeGCAufChQuRJImHH37Yte2dd95hzJgxBAYGIkkSpaWlDV4nKSnJfZLz6Z85c+a4jhkzZkyt/ffff/+FFP+C9Okax9vPzKx3v81UStGOTY26pizB9zuzL6hcI7qE0TOudu3ibH+a3O2C7tHaUrKcNZ/EYF9uHRDL38Z35tGxyQT4autc6k2rkemTEExIXAw7T5ZjtSvsyjOjAnmFFWzemUVeYYWrdlllsXPoRDHb9+ZgtTsffhTV2RTsjYbimiRJdGhgaS6AMH8f+v11BfcvSWXF3jxW7c9j3ud76TlvOVuOFtY63qGoWB0KB45n86cXv2Tw9H/w/OLPqMzKwGY9UwusKd+JU2Vk55spLK2iV5dwQoKcAUiWJWTZ+RmTJYl+3SIIDzYwICmYInPDtUmzxYHF5l1XwB8/2Ue11UFYoHfBTx8eheN0N0PNA0R88IU1ZwtCY513H+f27dt5++236du3r9v2yspKJk2axKRJk3jiiSe8vpbDcaZ2tm/fPq666ipuvvlmt+PuvfdennvuOdfvfn6t+4H506IvPe53VJqpLi7AN9S7OZOK6pymcCEkSWLJvUP4/VtbOZJrRpac161pMXzq+p5c1UBfXVuXXWZhfOcwru4R6XXifbtDYUBsID8eLcChOvuebXaFXYfy6x00U1xWzbG0Ynp2cf79vJ4yKNFgIgSbQ0EjnWmqP5tGlhiYFMwfP0zFWsci1NU2hZlvbmX1E2NIivDnUH4FK48Ucqigkr2bdrJ91SZkWXYtuWUtKcR88hih/S5D61+7Nhxs1BNWTwYjSZJQVJXkxGAqTFXYHYo3Lw+7oqD34rm85jqeRqnDmSCp8dHjf7qbQZIkuoaJvk2h5Z1X4DSbzcycOZN3332X+fPnu+2rqX2uW7fO6+tFRLgHloULF5KcnMzo0aPdtvv5+REd7Z5Xs7WUlVeRdqrhPqiK9ONeB06NLNEluuFmvrpY7A5W7Mll67FiVOC+K5Mx+GhYtS+PSquDLtEB/G5Yoqsp82K1O9vE8A4hXN0jEsDrkchajUyArw7bWd/P2fnmBr+wswoq6J4chlYj09vLv41GosH+ba1GontsIAdO157PbkaNCzEQE+zL9hP1r1upqPC3L/cxe1JXPtuViyxBxuE0tq9ytnKcu06lYrVSvGc7EUNHI8nuAS0q3N+5ok89TwayJBEWbGDlgTwUVfUqAby3a4DWjMItPd3HWp+av7OPVsagP/O1lebFKHJBaGrnFTjnzJnDlClTGD9+fK3AeaGsVisff/wxjz76aK0vxU8++YSPP/6Y6Ohorr32Wp566ql6a50WiwWL5cyH0WRq2nX7th/yri9SsXm/eoNDUZkxvPGp8PafKmPWO9spKLegPf3l99nmDMKNPiy59zJ6J7SPIfuqqvJreimzhiR4XdOsYXcoFJjdv5xNZgsN5WS32RUqq+0Y/XwY2znUq3vJUsOVToNO5ssHR/Dl9lN8tjmDnJIqwox6bhmawO+GJTB6/toG77PleBGBu3IBZyDdu2knkiTV0weqoliq8ako4qYJg/HXa0grqGD9wXy0XvYvyrKERsbVilGfUH9tnQkc6vL2bX343Zs7qKi2ozocIHtOznHug45NUSkwVxMRIPo5hZbT6MC5dOlSUlNT2b59e3OUh2+//ZbS0lLuvPNOt+233norHTp0IDY2lj179jBv3jwOHz7M119/Xed1FixYwLPPPtssZcworORPXx706tjEqEC8HfOXEGpgR1ox8aEGV4LuhhSWW7j1jS2YTy8OfPZ80WKzlZlvbmHVE2Pc8olerIoqbXSPCEDC+5pmDa1GZuc5Sc69TdemlWVu7hdFohcJ2cFZa/TRgNVRd/D00TiDj6+PhttGdqgzb3CVF6OrHYqKqcKCooCvj0xepueHOVmWGBWj5cnre51e/k6msNzC08sONLgEns3mQANEGPX4aDUcz6/7Xa2RJRIb0XzaMyEUf51EcW4RGl9/tL6eA2BNjlub3YFOq0FVVd7fns28sZ28vqcgXKhGDQ7KzMzkoYce4pNPPsG3gTf4+Xrvvfe4+uqriY11X7l+9uzZTJw4kT59+jBz5kw++ugjvvnmG44fP17ndZ544gnKyspcP5mZmU1WxoXfH6TCLiH7NvwFkZ1dwHXJPnjzAJ5ZXMWCZQcZ9sxq3llb9+s619ItGZhPZ3c5l6KCudrOZ5szvLpWW1dlU+gVbTyvRBHf786m5JxgFB3m1+BAHp1WIiHMj+hGPnjUBE8fjbPpViOBTga9xru+0mD/hkc9qypsTMnit51ZrNlyssHjJSQcioIsS65BVKH+Piy8sbczUUc9/xjO/Mzl3DAkHr1OQ2Sgnq7Rfvjq3N/UwX5a+sQHYPDxLiOVoih0+fPP5Jms6IPDGgyaAP4GHdl55eQXVTpbHVTILRdrcgotq1GBMyUlhfz8fAYOHIhWq0Wr1bJ+/XpeffVVtFqt2wCf83Hy5ElWrVrFPffc0+CxQ4cOBeDYsWN17tfr9QQGBrr9NIVis5UVe3NxKCpB3fs0eLzVZmfJhz8wKtHQ0EJKgDPYORSVBcsO8cWWDFIPZPC/FSms3HQAi9V94JCqqny57ZTHZjNFhZ8ucIpLWxFi0HIgr5x9ueUe+ybPDgBFZgsfbj7JupOltY6LCTUQ4KfzWNuy2VWGxgeiO49k4pLE6cWqnT+aRixuPtOL6Spn/wuokozG4HmkrqIqDOrlfl1ZljD4aBgW7/x8nLsqiqqqmCuslJdV8eDEM4nZwwJ86J9opF+CkV5xAQxMCqRHrPdBE6DrYz/jUBrX5K6qKrsOF7haC+ID9UhNsuy2IHivUU2148aNY+/evW7bZs2aRffu3Zk3b55rQvL5WrJkCZGRkUyZMqXBY3ft2gVATEzMBd2zsbJLzqw+og8OI7jPIEr3pdbbUaaefpLfvnU3alRXr+9jNZVy37y3qD7dN9u9UzR/mDGWSZf3Jio8EEmCP328k5OFlQ1eq7IdJMK22VU+Ts1hb66Z2EA9PaMC6uznVE8PXvlxXw7l1Q6ign05UW6pM2JZVYnhvaNZvzMLq62e0aKqyqb9OVzVreGHpKb0x3HJfLLpJHllngfNnM0/IQnTkf117pMlCYOvjt9NvqzWPq0sc8ugeJas20BctJGg01NDrDYHp3LL6R5m4J8PjqjV3C9JEn5e5Eauy79+OoCn5FXn/m1rfq+ocq7vWTMKOK/ATJ+OdSeYF4Tm0qjAaTQa6d3bfdkkf39/wsLCXNtzc3PJzc111QT37t2L0WgkMTGR0FDn4Ipx48Yxbdo05s6d67qOoigsWbKEO+64A63WvVjHjx/n008/ZfLkyYSFhbFnzx4eeeQRrrjiilrTYZrbuYkDfMMi0YdFYinMq/ccu0Mh/ehJIrwMnJbSIirSj2OvtoAko9X7EN8picuH9CAiLJBfU47xzepUCkoq8CmopsoYiaaeZmONLNEj7uJftHrN8SL2ns7ck22ysHRXNtP7x8I5X7CS5Fz66preMSiqysmSKn48WFDPVUHnqyM6zI/C4koUFRQFbIpy5jlIkli+7QTP3tSy7zONRmbtX8dwx9vb2X6i4cQLAIaYBKylxVTn57gNEnI2zWr46MV7CQyov3vhrpEdmDooFq1G4nh+Baqi0iHcv1mSZbyxOs3jfrcHIoeNilMn8U9MRpIkEqKN+Og0HM8oxU+C20d5Xp9UEJpak+eqfeutt9wG5VxxxRWAszZZM+Dn+PHjFBa6T+BetWoVGRkZ3HXXXbWu6ePjw6pVq3j55ZepqKggISGBG2+8kSeffLKpiw/glv/UORDlzL6EMD/6JASxN/PMQsSqF03U3jZjOyzVlB3cg2I5M8zeXl3NqlVbGL5pD327xLFj91G0GtlVu1KUAwR07EpAh+Ta11PUi37RaodDZcM5UzNSTpk4WVLNHYPjiDHq66x5Aiw/VIDVasfHx/lWr6lV1vz3ZFYZGacDcoCvlu6JQdgcCvtOluA43VqQlVdMRaUFo3/LDrAy+Gj54oHhlFZaWb4rh1d+OUZuWf3TLyRJIqhHPwwRUUjF2ZTkF4Ek07tPF97+yzS6d/LcOnPbyA6u93qf+OYdia00IlVyUkIYQYkGUg4VEtshluSEEA4cLyI9q4wBncOI9HIFGEFoKpLamPxdFzGTyURQUBBlZWX19ncqKtgdtROza2Xnj6o6jzmaZ+b1X46y9oBzjmT58UNUZKbjaQKC1t9I+JDLPZbRWlaC6fgh7Kayuq8lSWj9jdjNdU+tCereB0O0e8q920Ym8tyNvS/q9TdLq+z83/Kjde6TJZjWO5phHYIB599II0tUWh18vjuHvTkm9u4+wct3jeTL/QVY7Arh/j7EBOrpG23kj6+uoUqj59nfDWB8z0jXNIrSKhufbsng1R8PYjq8ly1v3kXXpNZLHHEi38y4Beu9OjY0wIcJfaL5cmsmdkUl0KBl49+u8ji3siZ3bEtJfvRHr3I5g7PGfOVlCWRn5pFtUikzW10tApOHJ/LUxC5EB9UeWOTNZ14QzodYHeU0VT09fUBV2XKsiJ93ZVNWZSMpwp8bhySQFOHv+qAnhvuzeOYAKi12Xl1xhPeqKqjI9Nz05BfvudZnLS2i9PA+lCoPfZaqit1sQvLxQbXWHkloTj+Ob1ScK0hOHRh70QdN8DxtRFHhq725rDpaSJ8YI0YfDTnlFvbklKOokJFTTgfMDOoQwoDEYPbnmnltfRqZRZWUVdjoEAjz7xtNXLDBLWl/kK+WP45NJj7Ulztm/4LBt3VrNd4kTgdnTXrG8ETyyqpdj16mKjsLlx3gbzf0RlFVt6W/avoOdS2ctbpTpIFjed5N1FIUFVOFlQ6dYjmxNcMVNGMj/Mktqcbu5YpAgtBUROA8zaZAeZWN29/awqHsMzU6VVF49YtNDIzy4YoekUwc1cfV5OWn1/KX63qiqCpvFRVQfqzuuZ368MhaNcGz/X975x0eR3X14Xdm+0q76l2WLMu9d7lgY7BxoYMDwZhmCAnBdJI4JCG0UD4IkELoNaGYDgaMwRT33rtsy5atavVetsz9/li1tVarlS253vd5BN6Z2Zk7V9o9c84953eEEJSn70BnNPk3nA3ojGZcPgynu64Gd201eqtH4eamiSmnvdEECDboiLAaKPZjPMrrXKw4WEqizcjmQ2XU1DnJyq/kyK7d/Py0R7pRVRR0msbitZ7SpEXAny8fTGKYpVUfycZ5u3RIAudPGUNIaPvasl1JfJglIKk7q0nHDeOTWbA5t6nmEeCD1Ycoq3Fw17TedG8QoXdrAr3qyfg90X8m39x/Ln3+sCjg4xtvJTLcSnZ+JVazniF9o1mxKYf3ftrFvKtHddFIJZLWSMNJcwj2xqOMpqO8lLKdm9Ec9fy0U+Hnn+DhFxYw9ZwBvPrYTYQ0JFrcNa0PH689jN5iperwAZzlnvU4ndmCNbE71vgkvwbMWVGGu7YG1XD8Xo1oSFW0mfUMSTo5ikFCCCrr3NQ63KiKQmgHlGR8oaoeQXd/hrMRzaWxfkc+qdHBHNmymXfmXUS/1Oa1vR93FqBTlaZylouGJaLg8eg+35DF5sxSVEVhTM8ILh6egNmg41fXTEI9yY2EYkLMTOwXxYr0ojZLcRQF5s8dS3SImStHJvL013twthDD/XZrHt9uzaNnTDA2s56LhsZxy6STIxxgNOi4ckQMn21sO6muEUWBkIaMXlVRsJr1jB0aT0ZWGRVV9ew8HFjylETSWUjD2cCGA8XsbmE0XdVVlGxd15zF0EKjc/HKXfzynpf49rV7URSFYLOeiX2j+d6pYYqIRrjdCKGh6PQBeXzuBi/TVVtNuxpwDWPziaqis3iM+aMzB5wUb7OqzsW+IzXUteiOoQAxIUaSI1t7doESaTWgVxUvZSRfXD08gdkjEygpr6bkolSmDPb29OtdWpN3pSgQZjWyMr2QO9/ZSJ3TDQ1yeYu25fH8t+m8cssoEiKCCTaf/I/KXy7rxxXPr6LW6fZpPJ+7dkiTvGJ4sJGnZw3hvve2oOItJn+goIph3cMCqhXtSp65dgRVzo18v+0IzSlbrUmIDsZo8CzARoRaSIwJZveBEnILPJ8D+ynwu5GcXch+nA288pO3Uk/V4QNtCnIKIVi79QCLlu9oeh0W1Owtms1GeqVEMWl0ElPHdWfiyERSEkPa1ARVDZ50f+F0YrCHtj9Y4SslUcESk4CqN/D7C/tw+cj2+3J2NrUONztzqryMJni+EvPLHWQUtB+GbosZfSPp3k7fxW4hJrqFW4kJsfDe2lzm/m8bBwq8HzL6xdtxNVgRISA9r4Lb395AncuNoDn6AFBZ5+RXr6+jsB0B8hNFzxgbn987jnN6R3qZmF4xwbx2y8hWv/PLRyTw/u1jGNfi+Gi7iXtn9Obd29Iwn8hsIB+oqsLLN42gb4SBtoxmSLCJfqmRaJqgstrBzv2FrNqS22Q0EYKbpvY/cYOWSJAeJ+DxPI6UNScqCCGoK8ijvRWlR//zJTMmDkJRFHJLPe+PjbQypE90U0KLoigE6Qz0TQmnW6yNNVtzcRxlWIyhEegNBlxOJ86KMk/mbHVlq+v5Q2exMjhtOK/fNoaeMbYOvbezyC6p85spWVTpJCHUfUxF8zkVDmYNjefN9dnkVDQbssZ1v3CLnim9oti86xAPvbKIPSIcncnK60sO8MTVzTWYFwyMISLYSEm1JzPz2YXpuDXh08nXhEc84ttN2Vw0ILAON11Nzxgbb/9mNHlltWSX1BJqNdAzJrjN6MKYnhGM6RlBncONw60RbNIHrNF7IlAUhW//MpVf/P1HShUTBcU1OFxuzCY9SXF2EmKCUVBwuTU27Tri9dkRQlBXXEBs5JnRxEBy+iANZwPhwUZoXG4RWhtenTf7MguorK5DU3XYooO5IMLapAF6dFE+gNVsYGCvKDbt8l7X0Rt0DBo9lM0r13syZztgNBW9AWt8EuE9Uvn43glEBdgQuLPRhAioyXFhpYNkU/savz/syGd7VjlxoRZ+MSqRKoeb6GATDrdGzwgLJTVOHG6B2aBjcGwwe4tqeGtDNreOTmT5Ko+6lSkims8NipfhNOpV/nn9MK5/aS0Aq/cW+pXv0wRs9yHXd7KJC7UQF6DoPHgE5c2cXA/TH2/deS5/XLiPvj0iAG/ZxOoaJxt35VNd6wIaHnIajKZeuIgIPv0bGEhOL6ThbGDW2CTWZpR4lGhUHarB2G5LMLemkZldxD6HDoGnA4e/dUVVVYiJsGIPNlDRwsi4NagIiiG4Rx+qDu5td42zEXNsAiF9BhFqNfDpPeNOmtEET4ZmIKN2+urc3IJP1mXx1093enUH+etnO/nNlF6M7xtFYbWTwmrP3OlVhWqHm58yPMkhqgJLWqjs1BcXkL91M3Ch1zVsNhOpSaEobo1DBdWg+S9n0J1CHtqZinbU33zLz1FwkJFzhieSV1hFdlYRuYfz0VmCMIVGkBRKh/RxJZLOQK5xNjB1UCwhFj06VUFoGtaEpIDeZzTq2VdU45F6CyDxRVEU4iKDj9oGNU43Q8cNxWAMXN4s1Grg4SsHsPbRKaRGn5zwbCM6VQmo64dJ3/ZB7/y0j9+9v6WVtq7T6eaFRem8v/qw1zVcRxlrTeD5XbRo1FxXkEdltbfazpFKB+f2jqJPz0hCbCa/4vs6VWF0amB9OCXHjs2kJ9RPko9Op5IYa8cUHIQ5KhZDUBChrmJikuLbfI9E0lVIj7MBl6bx2ym9KM7J4Z/f7MISn0RdQT6umjYyWIFuseFERYdRuKO0zWN80TIyqG8ojQixmTA7K3HWB94i6fe/GMlNE08NnU5VUYiyGTlS4aCu3sGqDensyCxEMZoY1L8Ho3tFYTXqibL7Lrl57ePlPLTwIMaQsNYPIIpnJfO7jdmcn5aE2k5pi6oqXgLi/3p/KfbkHizYlEtVnYsIm4khvaMQArrH2yksaTtp6Vibi58qNMoyHms284lCVRTO6xnO5zsKfO7XhMDp1DhSVI0RJykRKj0GjEVfF2i3W4mk85CGswGzXs8vRidRURnO4//4iIr09gOP986ZytIDpR1qaiQaehs20lhekRRnpzo38J6hRoOe2RendeDKXU9CmImXP1rGq+9+T32LB4AvDAbC+wxk7lXjGZPaOpHj6yXbuOfZL4kee56fsys4XBr5xTXERwe3eZRBc+F2eYdeX1mSiSGmuWdpQUUdUfF2rGYDkWEWuifYyczxLWN4/4V96Zdw+iWfHCiu4Yd9xezIr8ItIN5u4rzUcMYkh5yyRvS81HAOltSyJbfSS+xBNIhHF5ZWc15aN0xGA5omqKt38Y/LT2zXGokEpOFsQqcqBJn1BJlDuebC0cxfuK5Vb8KW3HvTVHoM6ceCXZ4nZEe9g8xd+6kqr8IcZCGlf08sQd7JG0J4UurrfLT5sgcbUUIDD7f+7//mEGILPDnkRHD3C9/yzn89ajDBQWamnTuMQf26IxBs3XmQ179ci82i47bJqRTXODlYXEuwUcdTb3yPPoCm4KoC9Q7/LdLWL1nfapvbYEbX4lepCbyynvv1iCDMbuZgdjllDaUnEaFmRvSK4lfnpQbUR/VUYt3hcv67MRdFaY5u5FXU897mPJZklGDWq7iEIDnMwoSUMOLtp0ZyjU5VuGV0ApuyK1h6oJS8ynqEENQ4BIoC8ZHBTVUrTqeLP0zqjt0qBd4lJx5pOFvQqNv593m/pLismu9W7ECvU3G5tSZdgt4pcdx04yXUBgc3Gc3d67ezbvEq3C4XiqoiNI21361g0LhhjDgvDdHwRV1R7WBtG02l3W5BbHI8VlsQNZXVbY7RbNKz+PV7GDmwe1dMwTGTUVDJ+x/+BMCwgT147A+zMZuMNPoNE9MGUOdw8cGK3dxRVo9O35zQMeiyGSgbd5PdduMPwBOum9Qzgqx6d8Nrz/ZG7yT/wGE2r9zs9R7VZMYQGtHqXBWV9RjDdKiqZ206LiqYuKhgr1Zcoxs6hByH6FGXoglwac3zoFOgxuHkf5tym2pSG2n8Z8tSnqyyOpYdKGXmoGjO79l6jpreKwQbdh7inS9WcyinmMhwG9fMGMkF4/qhqp07OaqiMLJbCCO7NXv5NQ438zdlszOvEhWY0DOEiwbEouvka0skgSINZwOqCqqmoAmBxWzkg+d+w5qtB/jo23UUl1aRGBvOtZeMIb1UY29eBZVVDoQQ7N+WzupvlzWdRzQoDQlNY9uKjThdguShg8g+UklRadvrMflF1YTawxl34bn88OHC1gcooCgqX7xwByMGdO/s2z9uXvl6I856BzFRoTzxx+sxGHQNXl2zv6bqVKK6xVJW5+01qjqVQaP6U7LuMDX1bWe4CrdG0d693HHt+Sw7UMLO/CpcmkZVSTmbVmxi/9Y9HN3sx97bt8h9Zm4F0RGt9WcbjxUCxnUPQ68SUNLTicaleX5a4hZg1OsZEmdnc67v0HNLGg3up9sLiLV5moMfjdutMfex93nnyzVND5E6ncr8hesZPzyVz//1W2xBXZvNbTXquHnM6bvOLDnzkIazBXoVnFpzCG/s0FTGDvX0uGz8Qu7jFujURDQhWLSngA//scbvOXev20KxPhxV7z9bNutIJb27h9Gtd3emXnsxa79fSXlRc9JRRGwUE2ZMYNSQVBxuTwuoU2mpKq/Q80V92bQ09HrVpydysKyO8nq3T0OmKAoDe0ezbrtvjxyg6lAGr2wvY0mJmUuHJzAo1EJJtYM3V+0ic/s+LxdL0esJ7TsYU4Rv4YKi0loOZpeTclTfyUbvdWxcEFFmBT+duE4ajZ5mW8waFs/hstqAtH3B82Dww75in4bzmTe/579fev7GXQ0ZV+6G/6/ZcoDfPPwu7z/zqw7egURyeiMNZwsaQ3JOH19KjV/2hoZyChWFGK3Wb1gVAE2jvrgQS4z/tHmtQb1GURQSeyaTkJpEyZFiykrKyMsuQigKOQUVbMspY2hiGA43mE6h315MdCgA54zuj07nu65ub4n/uQoPMftM1BFCoLmcVB/OIGzQSAor6nljyYHmA+yxxE6Ipb68FK2mGp01GEtYGCaD6teD3X2gGJfDxZgBsRTXeoxMlNXIvk3b+XFDGdeNuan9G+8g6XmV5JfVEmkz0T/Bfkx6wv6MptKwpjCuexhf7fKdoXo0moC9hTVNSxWN1Duc/PN/P7aZ/ObWBF/8uIVDucUkx7cd6pVIzjROoa/eUwNdQ2hO4BEmqHG4MRl8G4KyisC0V6uzDrZrOIMsBvQt3BshBBtXbyd7x24vT+r8b3/mzl9dwiO/muJJcjlFvM7rpg7mzTe+wqBvuxi9xuFfjUlVFWIjg1oZTkVR0BmMXPWLKSwvMhy1DyLsZiJDzOzPUXCFhGHSq1wxMoHfTknl5lfXk1lU06Y6UEyQkcqKOmKseuJCLRwor2f7xl0sfvXOAO88MNZllPDI5zvZ1eLeekQH8edL+3H+gI41yG6vAbROVUiNsHbonILWMuubdmVRVtlOuYeA71fu4tarJnToehLJ6Yw0nD5QGjpkHCqpJi6s7T6MKYmRAZ3PVVVB1eEDBCe13cLp6LW57z/9idzd6a2Pc7v51ytfYDHq+ctNk47LcBaWVPLBwvUcyC4izGblF9OGM6DnsRWUD44P4bKrL2DP/mwiwm3ofXidRr2Cy+lP3k7g8GNchw7vz/Lv93ltEwL+duUApg2OxenWqKpzEWxubmP2+q9GMes/azhSXoemadQeyaU29zAR/Qdz3rl9MZsMOBSFI05BfkE1Qgg+/edtRId3nqDE2oxirntxbSt1nIMF1fzqjQ28PGcEUwfFdtr1OoqCp23b0WUqTpf/DGbwPNQ4ZCNpyVnGKbiCc+rQXleMnskxpA0JrJ9h9eEDfvdX1Tipq3d5SlYqa3wazZb8/eUvWhnbjvDS/KX0mPZnHnjuc978dCXPvPU9I696gtl/eIO6+vbXxoTweOROt+dHEwr/uW0yOzPzfRpNgNQwa5ulHY2lPzkFvnV6VQU2Hmxe822UwfvN+T2Y3D+K71fu4qUPlvD5d+spKWsWregeFcR38ybyx4t749q3lYr07cSMGM30CwZhMRtbaQqrqsrz645QWt05HVGEEPz1kx1oQrTyFEXDfx78ZIdfvdyjae9hSQjB4YZEtECeqwRwfs/W6kgDesY3aS+3hSYEIwYEprIlkZwpSI/TD/7qOBt55g9XM3H2U+0eJ1zOVmtIR5ORVcaAnpFsWLKh3fO5nS4+X7qTq88f2O6xR/PJ95u47/8+bnqttRAM+OLHLZiMet78241tvl8T4HB7vqDLa5yUVjvQqQpWk46JE4aydlcWaf274W7IwARPQkmfCCvbckoRqg5VpyKEIPtIFZnZ5VTWtK2YpFMVzu8fQ3yYmYOFVTjdGkOSQrlxQndEZSl9L36InCNlqKqCpgnuevxDZs4YxXPzriLCZsZuMZC3J53S/CPYU1K5YEKvdtcWn1qSyf9d1CfQKW2T3bkV7MkqpTY/m/rSYs88RURgjIpH6I0IoKCinpV7i5jYN7AOLHrVM/9toSgKE1JCsZl07GjIPDbpVTZke8LEjX/WakOd58SUUEYk2ludJyI0mKunj+TDRRuaEoJaotOp9O8RR9rgU0O9SiI5UUjD6YfB3ULYm1dBakywz5oxt6Zhtodgspipr22nCBFoyP5pc/eh3AqsFgMVxYFJ+G3ckdlhwymE4G8vfdNmv2xNE8xfuJ6//vYiuie0DkWLBqNZWevktZ8yWLgtl7gQCyFBRob0COeSQQnEhlp4+KVvSOmewIA+SSBg666DfPz1SnYdPMJ5M6cSERfFtr2F5BypOur83g8XOlUh0mbikSsHEBdm5uErBzTt27TrMOfd/p+mbM/GBx23pvHRN2v5ZnMON183g7un9uTlD5eiCcElV09p12gKIahqZz02UL5fs5fCNT8j3M2Wrra4EF3GXgadP5ESYcXh1MgtC1w6TlU8xrOtJCGDCjpVZXRSCKOTmrOGp/WJZElGCVtzK3FpgqRQM5NSwxkY23Zbsmd+P5PNuw+TfvCIV6hZp1MJtVn471NzTkrDdInkZCINpx+sJj0Pf7aDN3+dhhCaV9jK5dZwugUL9hQQGR9NTsZh/ydTVS/x8bbYnVFMvRZYBD0lvuPi4/sPF5CeecTvMYqi8OVPW7n7+smt9rkbelTe879N6FSFv14xCItRT055DZcPS2j6cp1zaRqTb3qGkvKaViHlBa9/TMqEidTq2q6jBI8BuGR4PCNSwth8qBS9PpwoW7PKzd9e/ga3JtqMDFTnZvPRsr0sXLufsspaFEXBGEAnDaWtp4oOkl9UwaN//8DLaOrMFoxhkSiKwq41m5ly1VS2H6omPKhjCjiN9aVuzduD1PmpO421mbhmaBzXDI0L+DrhIUEseed+XvloOa9/soLcwjJCbVauv3QMc6+dREJDNrUvyitref+bdfywejdut0ba4BRuvHws8X7eI5GcDkjD6YeSKgchFj2zXljF3dN6M7FfNKriCQcuTy/kvVUZaKpg2Lmj2jWclpiEgK9rjkumKrsdQ4xCmTE04HM2UuUnJNqIqipUt3GcW4OP13rG9tspvRFCkF5YxazR3TzvbTB8yQmR/PTOH3jkPwv48ofNuBuEIVSTGZPFTEW1E72t7dC1EBphZj2fb8zhsw05gMf7vGx4PI/+YiBOh4NFK3a2Y98UqvNz0KI9hiI41Bawd3T8ZhPe/HQl9Q7PerGi0xPSdxCmyOYMWkVR2Lq3mF6pMZwbYJi2JaoC6gnoqGUPtvD7m6fy+5unBvye9TsyufT2/1Be5fGkhYDFq3fz5GuLeOfJm7hiyrCuGq5E0uVIw+mDpbsL+HpLHhHBZvonhuLSyrj97Q2EWo1EBBvJzsond9cuHGXFACiqQkhkKOVFZT7PZwwKxtarf8DX1wcFY7CF4Kwsb/MYS3wiH67N5r4L+2LsQJV+cnxEkwJMW7hcGn16+C6REELw2fps7p7eF5dbY3thFREmPS631iqRJCk+gjcen8Mzf7iaLfvz+cVvn0err6O2vg6bte3wIHhUkkqPst1uTfDFxhwOF9fw5BW92ncKFdCcTlRLEKrJhKM2sISf40m6asnC5dubvOGwwSMx2ENa3bNL1XMwp4KyGicxIaduX0m3W2PfoQJcbjc9k6Ixm9oW9Cgpr+aS2/9DZXWd1+/IU6vs5vo/vsXq96MZ1Dvwh0mJ5FRCZtUexYKNORj0eh67agh3TO3FbZN78tqvRvPdvPOItpvYuecQmatXNBlNAKEJKorL0Rv0BNmb1VdMZiPnnjeSy667giBz+302TYbmX0fY0NHognx3ATFGRGPvNYCyGid5HVgbA7AFW7ly6oimpJ2jURSFiNAgLpk02Pd+BBajjhCrgWWHy9hZWE20zeg3+zI8JIhJw3ogWuZ4au2vIdqDTZw7qhtBlua50wRsOFjKttxajG3U1zYhBDqzBUVRCEpMob6uPiCjqCgKquv4SywaBelNEdEN7dJaz5GiqNQ73by57OBxX68rEELwwvs/0/vCBxk282+MuvpJkqc8wF/++SW1db6jEv/9cg2VVXU+Q+hCeDJ9X3j/5y4euUTSdUiPswWl1Q56xNrpHulZe2tpDOJCzbx5axp9L1zgc/1LCIHb5SY0KoxHH7+dwdG2pqxFVQGnW2P+6kMs2uZbUi48yEB5bXMZiKrTM/ySC7G6q9i7YTt1NbVY7DYie/WioKbZYBg6oEAuhGeN8pG7Lmflpv3kF5V7ZUvqVBVFgVcfvQGjwfefhk6nEBZkJKu8jtwqjwdX7XD79DhbUl3v8pq3uqJ8LLGJftd9YyKtmI160gbHsXRDFm53gwC7Agu25HPNhaN4/+t1bXvPioK5QXjCmtidWJtC9oFsuqV2a/Oa4Pldzh4W+DpgW4wd0oNdGXlYYuIRmub3XhdszOWBS/od9zU7m3ue/IhXP17uta2iqo7n//sDa7cd5JuX72j1t7Jo+Y5WNastcbk1Fi7b0SXjlUhOBNLjbMHGg6X0jLH5NAB6ncr6rftw1rWdPSuEICcjizidG11D143G/xv1Om6Y0IPz+7cOgZ7XL4pnZw/1ar7cv7udEKrRq3DuFZO54je/ZNo1Mxg5shfnDG8OcTmOwTNSTGb++NdbueF3c5h5+7WkTZtAaGQok9L6sPC1e7lg3IA236tXFWJDLexr0fx5W16lX6Ppcmt8syHTa1t19iHAd1hUAYwGlYRoG6qqYDLqSIhuFiTQhGe9c96tFxFmD2rTe7al9EZn9CQTRYdbOeeS8zAYde16nYqiEGo/fuHyW6+agKYJVKOp3cSwsgDWnk80a7cdbGU0G9E0wcpN+5t0bFtS72xfOMERwDESyamKNJwtiAqx+C1Ez8wuCii5JDe/pM19V6UlNRXvg6c65dx+0UzqF03/eBvC7cZ5OJ0l//uYH+Z/w48fLuTD599hyaff46jzeHj2YBM9GtouHSwMTPavkY3Z5Tyz5ABbC6pRTGZCIsMYkDaYK2+fzbBLp6LZQ3H4Wf8EGJUaTllds3ecU+1gZ065T8/PpWnUuzS+XLiqqQcmgLumitIdG0HTEEJ4GTOjUUfa4HgMLdZuYyObM3CHJYfy3HXDiY8J44e3f8cF4/p7/V70Zgv2PoMIaqHUVF5VT1WNk9hu8e3+DlUFMv10smlJcbWDL3YU8PiPB3h0cQbvb84jp9zzcDWodwLP/H4m7rqapq45bREfemr1VgV449OV/gUQFIXXPmltWEcPSmnzYQY8pSyjTrG2eBJJR5Ch2hYEmfReRu1o7MHmgNbIrJa2GwOHWI30jbezM9uT+COER90GYGhSCCu+/RFHWYlXWFMIwYGd+8g5kMWMGy4jLDqCHomhHMgqx2pqe50vv7KeA8W1KAr0jrRS7xZ8sLl1r8ZGSmpdfLQtn0XpRcw7rzuhFt/rspcOjWVNbiVNuaeKwv825zFzgItRKRG4NQ0hPF56YUU927NKuGPmaL770bvJtKOkiILVP2GNTcQWG0d8jwSiwqzERgV51c0qioJe19i1Bp6+dlhTQlRSfAQfPHcbeYVlHDhciNlsIKdOz7z5W72v5dRYuy2Pc0d18zLIbXG0/NzRaMLTz/Ln/cXsLqimqkGRoKDKwcrMMq4ZGsuElDDuuPY8lOBQ/v5zbpvnUhSYNe7UU9/Zl3nEbxKZEIIDWUWttt/6i3P493ttr2G63Rq3zzq3U8YokZwMpOFsQZBR9btWN3X8QAx6HU4/4dGoiBB69/Cv92o1eqZdVSDabuac3h6hgfysHBylxW2+r762ji9e+ZApv7yQbr27Y9KrDO8e1uq4slon72zIZW+RtzcaZgns111R7+Ifyw/x0AWpPr0zvU5lQkoYi/Y1j9UpBPN3FLBwTxEpoWZ0ikJeZT1ZZdW8cPVgDLoEXnvkeub+7QMcTjc6nUdJ3+VyYdM5mHxef0wW3+FRTRNUVHtCmWN7RZIY3lrAPC4qlLioUACGuDWeXLCLsqPaajmcbnILKkmOD2n1fq/rCegf7VujWBMeiUGBp4vO4fK6JqMJzWUs87fkkxhiJiXcwu2XDCW9TPD15rxWZS46VaFXTDCzxp56hjMsJKhJjakt7D56cfZMjubff/4ldz4+H53anMGtUxXcmuDO2ecxY0LHFa8kklMFGaptQbTd5Dc0FREWzG9nnedX//Pmayb77EXZkoKKOlTF40k9M2swOlVBE7BkxbaAxvnjx4uorqgmItjYKjmo1unm+WWH2FfUOoRbWusKuD6xsNrJwZK2w5VT+kQQ5MPZrXBpbC2qYVNhNTk1DuIMrqYxzr4kjQPfP84zv5vJjZeN5ZrLxnHxnJnMuOHyNo0meOpKDzc0Zu4TZ29X11WvU0mJ9p2RfKS4Bmc7ouQ9wi0khbUOnTaqJgmgsKqeF1cdoqCy7bXJn/Y3lCspCs/NHsodU3tiMzc/vOh1CpePiOfDO8cSdCr1iGvgqukj/BpNnaow66LRPvfdMvMcFr9xLzMmDMRiMmA06BgzpAcf/P1X/N/9V0q1Iclpzan3aT2J6FSFOqcbnU7Xpq7sX+deSp3DyWsfLUNRPJmoTpcbFAVbal8GD+3nSQjxEfJ1a4LskhoOFVUTFmTknul9GZzk8Rg1AVXt9fZsQGgaO9dvJ65Hr1b7VmaWUdRGA2MV6IiQ3KpDZfRooz2VxaDjgSk9+cuCHWAye81XYzi7rqyc+68d4fW+8JAg5l47CYDnlmVyoLi2yZg3vq/leRRFYd+h0iaPs97pDqiBd70P46iqCn26h6PzE6o1qAq3piX63NdS4m7xviKcbs3vg8juI82/T71O5b4Zfbh9ck+2ZZXj0jT6xdsJ66Bi0InkyilDefr179h3uKCVVq1Op2Kzmrjtmoltvn/8sFTGD0vt6mFKJCcc6XEehdWoQ6cIKmp9Gx+dTuWBX1/EF/+5g/tvnsavfzmJa66aTPS48wlK7M5rP+9HE6KVV9QoDffGkv0AlNc4iLQZqW/omi0EhIX69pJ8sX/7fvrEtW59teZQWattccFGRsbZiQkyBtQto5FaXx29GzhSWU9WeR13nd+LBEcZ5QXFuBuk5arLKzGXFvCPXw7H1sZ6b43DTUYLowngdGnU1DVnW1ZUOdi06wj7DjVr9y7ZVeBX1kcIwZHyOvbkVrTa1z3ejj3Y6Hf98qK+kdjNvp8nG6phcLk1tuRUtNsX0+UjIchs1DE6NZxxvSJPaaMJYDIa+PbVuxg1IBnw/O03RmS6xYbx/ev3kBjTeqlAIjnTkR7nUSgKGHQK0TYjy/cWMTq1Weh8b2Y+j734FQuXbkPTBIoC56X149zz01hS6NF/3ZNbwWNf7OC6c1LoFdNs2HbnlPPB6kMcLPSImmsCNh0sZWxDOydFgYikJA4dyAponE6HkytGtvaMKuubPS2LXuX87uGEWQxoQhAdZGDh/rbXUI+me1jr8GluRT3zN+eR0SKMGxQcwS3DI4jXOXC63PRMSsVi9m8UfGXuGg068ouqWbk5B4TA5W5tmXLLavlqcw4XD0vwmcilKAqv/Ljfp1FLim/dAeRoKv21HWmgzqXhY2itsJ2C4deOEhtp5+d37mfDzkP8sGo3Lreb0YNSmDK2b7tLEhLJmcrp/8nuIhQFxqWGUVTrJMSsZ1dGLtNveY7aemfTuo8QsHRdOkvX7yVk0EiMoeEkx9tJSgpjbUEV20trsOh1ZBdVsXbnES9vSgHqXW5CGhJ2ckpqyNWC0QcF46qu8jUkLyIiQhjXK6LV9lCLniqHGwWYnBKO3dSYiKQQbjEyNjGE1dltS/k1IUSrVlNHKut5dmlmK6NX7XDz6Y4CLu4XyYy+gQkH2Ex6LAa1lVebFGcnyGJga7pH3s0XD32yHbvFwHn9Y3BrzaUsqqrw6o/7+WD1IZ/vswag3lRU3faapYLH2bUYdBhUBWc7LmevyLaboJ9Idu7P5f1v1iGE4BdTRzC8f8cTkUYOSGZkg+cpkZztyEdGP+j1OpZnFCOA+5/6kNo6Z6u1Hrem4Xa7KU/fTmq3EAb0jMTU0IGjxqlRXOvEZDEyblgClhYeiAB6xwY3rYXuyC4HVSVsaJrf1mON/Ov+S32uwZ6T4gmdJdrNhJoNrcKSqWFW7MYAfu2KwsZs76bSX+8uxOHW2gxRLtxTRHldYIXtOlXhnO5hPm81ItTCqIFtG+B6l8btb23g6n+t4L2VmSzcmsdrP2cw7amf+ed3e1sd3+iY+uopeTRmfdvlPY15WDpVYVS3kHYbSs/o27ot24kkv7CcAZc8zMirnuC5t3/g+Xd+ZPzsp+k5/S8cyG5dRiKRSAJDepztsGJnHkGuOtZuPeD3OHdtDRZXBZuXZpCxYx9C00jo0Y2BY4dhDw9Bj0rP5FC2723+wqproZ6ib/gW1hmM2Hr2o3LfrjavZbAGsblUJa2slrijCufTkkL4Lr2IbnYTmhCtDKdbE1QH2GuyoKpZFL263sWmnEo/R3s88PVZ5Uzx4Qn7ItlmYP+BYrKLalAUj7pPUrwdp9NNZk4FIVYD5TXOJk/vaLZnlbM9q33vWa9Tcbg0cgurmtSI2mK4j4bOjegUcDeMZXKvSLblVVLjdPt8kJjcM5yo4JO3hlldU8+gyx+lqqa1sH3OkTJGzPwb+xY9RmRY63VyiUTiH+lxtsPMEYnc8fKygI794YOFbF66noriMipLK9izcSefvPAuO9duRVUVry9tBThQ0Jx1OapHeFORvzU+CUuC77CYzmIldMho3lt1mIv/voLMQu9MXKNO5Q+TPDWeLc1Dca2TpYdK+GBnPoGI9AkhMLfIPn3k233tvwdPOPdoDmQVsm57JjkFZU3b3lx6kCv/sYp92eVU1zqpqnFyMLucpeuyWLk5l/yiasobsoMFDTJ8umMrYXC4NPR6hQNZ5a1UihrRhKC8sp43fthPTb1vr1lRwKjzeLChFgN3TejeKhxrNahcPiCaKwZGH9NYO4sH/73Ap9FspM7h4nfPfHoCRySRnDlIj7MdzukdSd+EUPI2Hvs51n63grDocOJTumE2qtTUeUxXy9q98GAjV4/uxgerD4OiENKrP5aYeOryslGctRhMRmzxCTgtYaDqcGuC8lonv/tgK5/cNc7renazgWEJdo6Ue744cyvr+DmzlI6gKAoRDdmlm7PKqQ6wAHR9VjkX9I4kOtjIknXp/OVfX7JxZ3Nv0clj+pI8eBAL9zYnSTXS8hJHZyUrCjgCychpA5dL4HI5Wbc9j+H9YzAZ9U1r1aqqUFpex6ZdR3C7NQoq6vjfbWk+PdNG4ykExAYbmTsuidIaB/lVDow6hZRwS4eE97uK+QvXt3vMgp+3tnuMRCJpjTSc7aCqCnf+Mo3l3y3FVR9YP0dfrPx6Cb+44zpcjYlFwLTBsV7HPHh5f77bnk9xlSdBpW//ZHrOGIpepzbVNNY7XOzYV8SR4hrcmmDjwVL25VfSK9Y75JYYZqagwoFbE6zIKutwY+aaWifmhu//z7flt1mb2hIhBE5N4b8bcxmgVvGLe15pFWP9aW06rNtH+LAxGGztZ7k20l7pR6DU1bv5ae1hYiKCsAcb0TRBQUkNFVXNSUGr9hWzfG+R3+bSiuIJ3QJEBhuJPIlhWV/48zYbqW/Ds5ZIJP45rkfjp556CkVRuOeee5q2vfrqq0yaNAm73Y6iKJSVlbV7nocffhhFUbx++vbt63VMXV0dc+fOJSIiguDgYGbOnMmRI0eOZ/gB4dY03lh+iODurcUGOkJlaQV19S4cDeuLg5NCGJniXQNnNOiYPCAGVYEe3ULo2yMC4XKxedl6Fn/wDT9/+h0Fh3IY1i+apBY1nLt91CyaDCrdIy0cLq/rsKcmhGDDjny6RXjCkBVOrV2j6XI1fwlnFFXzm4ffQwjRqr2UEAKhuSnfu4PKA3spWPkj+UsXUbDqJ6oy96E5u65LiAKM7BVBqNVAflE1ezNL2X+4zMtogif55/P12V02jhNBkKV9Q24yyudmieRYOGbDuX79el555RUGD/ZueFxTU8P06dP505/+1KHzDRgwgLy8vKafFStWeO2/9957+eqrr/j4449ZunQpubm5XHnllcc6/IB5/rt9bNxTiCk2keCU3s0Zr8cgGbYro7mG8uWbRrRQyPHonx4prSUnpwBVVeiVFMauddt49+nX2bxkHdn7D3Fw534Wf/A1H//7f8SENH/pmdrIBI0LNVHjcndI9ACgts7F0G4hJDTIzpn0arvi9jUVVXz91mcNrdUOU1hS6VNIvhFXZTnVhzM8hlIINEc9VZn7Kd64Crcfz/54hNp0qkLvSCtV7WT+ujVBoY+12tOJq6ePbPeYi9toVi6RSPxzTIazqqqK2bNn89prrxEW5u013XPPPfzxj39kzJgxHTqnXq8nNja26ScysjmVv7y8nDfeeIPnnnuO888/nxEjRvDWW2+xatUq1qxp3Q+wsyitdvDKDxmAZ80vODmV6LHnY+vZj6DE7thS+xI2xLdW59EoCgyItTWVMLy7srnW0C3gvws3kfbAAlZm1xMXFcyh3ftZs2i5T4NVXV7Fj+9+QYTdiEmvMtZPFqspgE4gR7NrXyEPXdm/6fXY7qF+j9c0jUN7DlKYnc/SzxdTWVpxLM8VALjr6qjY23aTY1VV2i0DafPcmiAlMoiYEP+9NnWqQrwPrdrTib/dfZlfr9Nk0PPsH35xAkckkZw5HJPhnDt3LhdddBFTpkzptIHs27eP+Ph4evTowezZszl8uDmhZOPGjTidTq/r9e3bl6SkJFavXu3zfPX19VRUVHj9dJRvtuThPspwqUZjk9EM6pZCfW5mQOcaPSiF/9w0kk/uPoewICNfbsoBPN7mik0ZPPTlHlSzRxfWYFBZ890Kf6ejpqqGmoJ8bpjQHXsb7b8ABsYGd2h9U+908f5tafRsoXp0fs8I9KriOxtV09DcGrs3bAfg4M79GI0Gv96mfwT1xQW467wF5lUFgkw6XrtlRKsSnEAxGlQuGR7PrLFJfo2vWxNcNbrbMV3jVMEWZGbLZw+SFNdaEi82ws66jx8gKjywUhQhBJsPlfLuykN8uOYweWWB9SqVSM5UOrzIMX/+fDZt2sT69e1n7QVKWloab7/9Nn369CEvL49HHnmECRMmsGPHDmw2G/n5+RiNRkJDQ73eFxMTQ35+vs9zPvnkkzzyyCPHNa7Cinp0ioLLhxWIiwoiKcrMl0sKAjrXO//3KwB6xdr4940juPX1dYAnd+bRd5ZgsDUnCpUWV1BX3f6X05G9+7jtmav9HjMo3ka8zUReZb1fA6oCk1PDuPyohCUAu1nPvRO789TifegMei8xdrfTxQ8fLqSqzFPjKYQgxmZCUdV2mzf7w1lZgc5swVVTjairxmAy8sr9UxnfJ4plf4lm5b4ivtiQw2cbcto9l6J4HlAenTkQu8XAdeOT+XhtFlkltT6zd2cMjmVUj9NfgzUxNoz0hY+xafdh3v96HZomuHr6CMYM6dH+mxvIOFLFXf/bzK6ciqZ6WlWBS4fH8/hVg7CeAbKCEklH6dBffVZWFnfffTeLFy/GbPYf7uoIM2bMaPr34MGDSUtLIzk5mY8++ohbbrnlmM75wAMPcN999zW9rqiooFu3wL0ITYPwYFNTFmxL+vUIJyUxlIIc30b7aG6+cjwxkZ4ekHqdyoiUcEY09NGsrXOwI7caa6KG0qD9WZAXWOlIfZ2DW9/YwKd3j2/zGL1O4Vej4nllbQ5Hqh1Na4SNd9U91ExaUgijk0O96jaPJiXcQvayFeTUK8R1T0BBIf9wLvu3peOs906u2XS4luDkVCoPtl/72Raao46SzWtwlDfPxfV37uKh2y/mxsvHMqFPFOf0jsRuMfD28symXo++6Btn494ZfbhgYAwAdouBj+8ax18/2cF32/ObMnYtBh03TEjm/gv7nFFtr4b3S2J4v47L7OWV1XLVv1dRUetZE26cXU3Agk25FFc6eOe20WfUXEkkgdAhw7lx40YKCgoYPnx40za3282yZct44YUXqK+vR6drW7IsUEJDQ+nduzf793s6icTGxuJwOCgrK/PyOo8cOUJsbGsPCcBkMmEy+e7M0R6aBgVVDhbvaDaMZrNKtxg7Br2OpDhPGYXZ2n7IUFEU+vVM8NrmcmtNAu119U5QvA2WYmxfUxVAZ7awKbOMtfuLSevZ9jpnTIiZ309KZlNWJVvyKnG4NCKDjUzqEUa38MDDniP7J/HT64tI37jT73FVGLEmpaJpgurDGR53r9HtU3WgtSPBoChUZqSD8PZY8wrLue2R96isqeOOa89DURT+ekV/JvWP5r/LM9meXY5ZrzJtcCxXjExAURRsZr3PxteRNhMvzhnBkfI6dmaX4xbQLdpKmMXYpOJ0tvPGkoNU1Lp8PpBoApbvLWLN/mLG9jq50oISyYmmQ4Zz8uTJbN++3WvbnDlz6Nu3L/PmzesUowme5KOMjAyuv/56AEaMGIHBYODHH39k5syZAKSnp3P48GHGjh3bKddsSa1T41evrmVPnif8OLhPFHGRQeha1FMC2MNCiIiLoji/sM1WV6qqcNnkYV7bhIDQhpZSYXYLJnddk7cJoLcEoRpNaA7/mZ22lN4AvPRjhl/DCWAx6hmfGsb41GMPQV47cyLPvPGd3wzb4JhY9AY9bk1gS+lFUGIydYX5aE4HOpMFU1QMlft3U5ef0+Z5VJMZra6Otib1L//4kusuSSPUZkVRFM7tG+W35tIfFpOerFoXG7Ir0PaVAGAz6Ti3RxjT+0Se1d7UJ+uy/TYN16kKn2/IkYZTctbRoeQgm83GwIEDvX6CgoKIiIhg4MCBAOTn57Nly5Ymb3H79u1s2bKFkpKSpvNMnjyZF154oen17373O5YuXUpmZiarVq3iiiuuQKfTMWvWLABCQkK45ZZbuO+++/j555/ZuHEjc+bMYezYsR3O3g2ERdvz2ZlTgVsTjOgfQ2KMDV2DGszRX6QjJ4/FX5HEnddNbpWEYdCrlNd4wpuqqnLT5L5oDoeXIbH3Geh3jMawyCYBAV91nF2B2WRg7EXntrlf1an0PWeM132oBiPW+CSCk3tiiU1A1emx9+zPuBGNdbHe5T3GiGi0ulr8Nd10uFx88t2m470dKutdPL3koMdoipbb3Xy9u4iXVme1qkM9WxDCo0zlD7cmmsQ6JJKziU7XBnv55ZcZNmwYt956KwATJ05k2LBhLFiwoOmYjIwMioqaxc6zs7OZNWsWffr04eqrryYiIoI1a9YQFdXsRTz//PNcfPHFzJw5k4kTJxIbG8tnn33W2cMH4MsN2agKhAQbiPIR5mtJQo9uTL56OiarZ8230bAaDDruv3kaD95+idfxbk2juKqeKFtzqcAf5kwhvOKwJ0bcgDkimpD+Q1HU1l68OTqOsMHNdXonKrQYbzcxbPQgLph1MfbwkOYdCsQmx3PVHdeRmBjRrspPYmQw3718Bx/987ek9u2BMSwCS0wC4UPTsKe0LzSh1+nIPtIxCcFGhGj+WbSniLI6V5vj3V1QzbNLM3l+2SE+2ZZPfsXpXdvZERRFIdruf6njTCjbkUiOBUW0V9l+hlBRUUFISAjl5eXY7f6l3i7++wp25pQzvH8MMRHWgMJ1mttN1r5DVJZWYLYYeei6CQxN9hj+RtUdl1vDpQke+mQ7z88e4qXGU1FVy63Pf8+6Eu/oudA06ooLcNVUodMbMUfHoRq810CvGBnPc7O9w8FdxVe7Cvgu3dNqTdM03C4XeoMBRfHUVyaHmlm2KYdd2RWtSnkaueOCntx/YZ+m19klNWzKLEVBYcPhIp5+5FW/Y1AVhad/N5O5104KeNxuDVxasx/r0gQPLkr3q6qkAFN6RdI/Npg9BVWsyixjcs9wLugdWPeX051/LtrLv77f5/dBaMF95zCoW0jbB5xEOvKZl0g6wslXoz4FSQy3oFOVBo3YwN6j6nQk9+3BwLFD6Tm0P/N3FPP0N7vJLqkBoKbexecbsvnNG+u4b0avVhJ29mALr95/YasOIIqqYomKxZbcE2tCUiujCXDDOSnHdqPHwIV9oxgcFwx4MoQNRmNT67LIICO3jknk2WuH+JX4eWf5QYpbtCxLDLdy6fAExvWJpEgYiO2e4PdhRVEVZk4d3ub+o3Fp4NS8g781Dle7UoSKAlUOF0mhFqb0iuSB81PZnl/F9jz/7dXOFG6amEJShBVdGxGNq0cnnrJGUyLpSqTh9MEvxyTh1gRuTTsmBRyP2LnGwEg9//h2D5f8fSm3vr4Wt9vN678aSfJRragaCbEamDk6sUPKOHde0JOhyaEdH+QxolMVfpWWyG1jEhkQE4xB0ygqrEStrqef3YhJVVmRXuQ3qaSyzs2/v9/fant6oechY+T5YzyGs43Jv/EX5xIbGZgHoQmP4Twak14XkHyf2eAJlauKgkGncMvobiw/cGxh4tONEKunbGf64Fivv0mbWc+903vzxC+lZJ/k7ERWL/vg3L6RTBkYw+r9hUSFJR+T8awoKadap/DinI5l/f7lsv7sy69iw8FSVKXtriB2s56/XtGfmSdB4UZVFFLCLPzzmz38uLMAXYMM3tcbc3j8y12EBbUvMP7x2iwevnKA17bGVYPoxFimzr6EFQt+oqq82bvT6fUMHj+M3954QcBjdbehwWDSq/SL8YRg25pjTcCw+GYD7TGeEG0z4XBrGE+B9mFdTaTNxAs3Dqewoo49eZUY9SpDk0IxGTong14iOR2RhtMHqqrw4k3DeebrdNbkVtAt1u5VhgJ4qee0pHH70s+/5/xbOi5JaDXpee/2MXyzJZf5q7PILqkhwmYiLTWc8CAjBr3q6REaf/LWbIQQ3P72Rlbu9SR4uTXR1By7stbVVDDvjxqHm+KqeiKCmxNQureoKY1PSeSqu64nLzOHipIyjCYTib2SMZuNJLeTsNUSf+tzF/SOJL2gqkkRpyUKMCA2mISjdG0VoFdkUKe1OTtdiLKbibJ3nuiJRHI6Iw1nGxh0Kn+6rB9//mg7W3LKiY8OxtjiKbum1onZrEenKK2M6KqFSynOK2LkwO7HdG2jXuWKkYlNIgmnGlsOl7E8vcjnvo7Yk8IKb8OZEGKmR7iFzNJaNOGZz/iUROJTPPOgKjAy0Y6tAzJvvoxiI0mhFm5J68Z7m3KpdrhRGzQaBDAk3s41Q+Nan09R2Lk/n7e/ykYRMHN8KuMHnd66thKJpGNIw9kOd0ztySXPriD9YAlx0UEY9TrKq+opLqtDCEHveCvxsR7vLz8zhxULfkJBMGpQd4b0OTUN3/GycEseelXxKUfYESJ8NH+eMyqBZ5dmUl7namXwYm0mrvKhpesPVfWq8mlFn6hg/jw5lXWHy6h1ecKvA2KCiQpuXYqRkVvKrGd/oEKxND0kfbZnK3ZtNZ/Om0KvhPB2xyNEsxesKBxzpxeJRHLykIazHeJCLXx69zjmzd/G2oxmEQezQYWiXFYu2+JVJK9TFSLDbbzzxE0nYbQnhsp2+lkGwvheET5Df+FWAw+cn8KKzDJWHyqjqt5NmEXP+JQwxiWHdrhNmk6B9kZrM+nA4eJ3b2/inN6RvHjzqFbHlFTUcun//Yhbb/YKzyuKQoVqYfoTP7L+yYsIt/sOI4uGJKWjE3kVwKCTBlQiOZ2QhjMAkiODmH/HWDIKqkjPrcRkUBnTMwLN5eKNT7vzxqcryDlSRkRoEDdcNpbf/HIi0QG2bDodSYkKaldRx6BTcPoo91AAnQq/v7hvm+8NNumZ3ieS6X2OX8pNUcCo8zQK9zVig+oxWkkRVpxujZ93F/Dv7/dy59TeuDXRVIrx2PtrcBvMPstkFEXFbbDw1/+t5oW5k32Ow6n5Xm8VgMMNJt0x9UaXSCQnASmAIOkwRZX1jH34xzZDtTpF4eZzuxMaZOSF7/dR62yOlSZHWnn6miGMTm0/rNkRhPB4c41DUhWPt9lojBpDpC3DpC33A1z63Ap2ZpejCRjVI5zZ47szrHsYbrdg+qPfUK/zbTg95xeYnDXs/PfVTddX8ChFLd5xhI/XZXOkvI64UAtXjurGuf2iveojdYrH85R0HvIzL+kqpOGUHBPvrjzEg5/saGp60ohOVUiOtPLZ3eMJsRqoqXexLL2QyloXyZFBjOoR1unC6ZrweG2+MHYgDLr1cBm//PdqnG7NyzsMNumoqqoBQzvddhx17P7nzKaXNfUufvPGOq/Sosb2Z+N6RfKfOSOb6kRBep2djfzMS7qKM78QTdIlXDc+mZfnjKBvXHNI2mxQmTU2iU/vGkeI1aNwZDXpmT44jqvSujE6NbzTjabwYzTBsy/QR8MhSaF8fNc40lK9JfX6xNsxq5rfrjBCaJgV7yykRz7bwaZMj1hCoyFuFIZYs7+I//tqV2AD6wBCCKpq6nE4j38dWiKR+EaucUqOmWmDY5k6KIa8sjpqnW7iQy1YjCc23uhLFeho3AL0AdrrQd1CeH/uGHJKazlSXkdEsJHkyCB+99pyPt3VdhcaRVG5cEhM0+uCijq+3pzjV1zh03VZ3DWtT0CCEe3hcLp48YOlvDR/KYfzSlAUuGBsP35/8zTOGdHzuM8vkUiakR6n5LhQFE+HjNTo4BNuNKF1lqrPYwIwrkeTEGZhePewJnnEh2aPweSq9el1CiEwOmv40zXNLe7WHyhpVyTB6RZsbvBIj15v7QgOp4vL73iJP//jCw7nlTSMCX5cm87UW//JB9+sO7YTSyQSn0jDKTktEcKTKXuisFkN/PTwDBJNLkSLwlChaSQYnSx+6EKCLM2eoxZgjWtj6FavwoGsQm566AP6XfE4A2c+xbx/LqCgpH1B+Rc/WMrS9XtbZTq73Z7w8m8efi+g83Q1mqaxaddhlm3YS05B2ckejkRyzMhQreS0o3FdM9Csts5aVo2PCGL5U5ezN6eUL1ZlAHDZmFS6x4e1OnZIUmi751MVz3FGHTz33jL+8tzHXguy/zqQzYvv/sRH//gNM8b383kOIQQvzV/qtzzI7db434I13H9T4Bq/nc27C9bw6EvfkJXv8bAVRWHaOf157g9XkZJ4/GVHEsmJRHqcktMOt+iYtF8HNRP8oijQJzGMeVePZN7VI+ndrbXRBEiKDGJCn6g2W3LpVIVpg2NJijCzeN0+/vLsRz6zmFwuF1fd8wp5heU+z1NT52gKz/ob8459ue3cWdfxr3d/4taH3m0ymuAx+ItX7WbC9c9wKLf4pI1NIjkWpOGUnHZ0ZM1S18Wydgptn//xqweTEGbx8niVhp8eUUE8ftUgAP784rf4a2Dqdrl4+PUffO4z6vVN/VDbHKOiYDaenOBSUWkVf/nnlz73ud0a5ZW1PPLi1yd4VBLJ8SENp+S0QnTA2zSoXS8qoCie6/giym7mk7vP4fcX9aNHdDB2i55escE8eHl/Pr93fFM27Z49mbR3V9+v9F26YjDouGB8P3R+Wpy53BoXTzo5vTM//HYDbj9POi63xiffbaKyuu4EjkoiOT7kGqfktMCzrqnhcAkM+vatoYpH2u9EoCiQXVJNbIgF/VEXtVkMzDm3BzdM6I5eVTD5qIsJJJHI6ScT6ndzpvL9yt0+9+l0Kr2To5l+zgCf+7uaQ7nF6HQqmqvt8TtdbgpLKrEFybZlktMD6XFKTnmEgOp6F26hBGQ04cQZzUae/WZPK6PZEp2qsi7Ddys2e2QE/kK1oNCjR0Kbe88Z3pM3H78Bg16HqijoVLVpLL2To/nqpTv8eqRdSURoEJq/9jR4HjxC2xDHl0hORaThlJzyaAL0AazlNeJv3bEryCmtYdG2fL7ZnOszu1UTgh925PPswnSf75916Tj8h2oFf26nKfo1M0aR8d3feOzuy7h6xgiuv3QMn/7zN6z/6E8kRIcGfjOdzNXTR/rN+NWpClPG9iM8JOgEjkoiOT5kqFZyylNQWo3dZiWvsp5N2eVU1rsItRgY1S2E6GCTVyNxFc+65onUfC2vdgLwhw82syevghsnpBBp8+jallY7eHfFQV79KYOUKN/G4W83T2TR6nQyt+/Eq/V2gxDwRZedx7SRKe2OIyrcxn03+jewJ5qUxEhuvnI8b362slXSsKIoCBRSBg8ko6CK1OjgkzNIiaSDSJF3ySnPhn1H2FziYktuBWqDqLzSIJo+ISWMSwfEoGmCea98z3/umn7Cx1dT52LAA981vdarCsmRQSgKHCqqbmqvNm1QDC/fPNLnOSpqndz+rx9Y+MN66spKAIWQmBh+88tzeei6MZ2u8XsicbncPPD857z84TJcLRKFVKOJ0H6DsYRH4RaC68Yn8fCVA9ss4eko8jMv6Sqkxyk5pVmxaT8ZmpWtuR6d2MY8msbHveUHS7GZ9AxPCGHnwfyTMkarWc+gbiFsz/LUWro0QUZBVavj/niJbxEDALvFwLvzZlB59xQyjlRj1Cv0jrX5XTc9XdDpVC6/9Fx+LrGSdfAwwuVCbw3GGB6Joii4G36Z7648jFODJ64aGHBYXiI5GZz+n0rJGUtuQRn/+HAlG7LL/a4A/ry/GLNeIcl+/GLpx8pLN43AqGv7y/7qtES6txGqbYnNbGBocij9E0LOCKO5PL2QyU8u5bqX11FcJ7DGdSOoWwqmiCifXvQna7P41/JMnMciMCyRnCBO/0+m5IzljU9XMmTkgHbF0mtdGtnldTx//8yAW4h1NgnhFn544FwGJnqHBINMOu6b0Zv/u2bIyRnYSWR5eiE3vbKOzKLqgN/j1gQr9xbz1a7CLhyZRHJ8yFCt5JTl66XbuPDKwJJdXBpYLcYOtRDrbLpFBPHV/ROoqHWSnldJeJCB1Bhb+288AxFC8PCnOxEE3g+1EZdbsPxgKRf2i8LcmXqJEkknIf8qJacsdfUudu/YH9CxsQ1ZrKdChM9uMTCqR/hZazQBtmWVc6Cw+pgiALYgIw634HBpbecPTCLpBKThlJyyjB7UnUXfrSUqyNCmPICqQL/oIMKshtM68/RMI7/s2CT0Qm0mbA1ShGdFur/ktESGaiWnLL/55UTe/WotaxYup//kcTjdmtd6p6pAsFHPzEFxgCc82FmlDGcDBVUOlh0oZXt+JZomSImwcm6PMFIjjl/FJ8pu6tDxCqDXqwzuEwV4hBG6hUgJPsmpifQ4JacsIwck8+gdl7B06UaS3NWMTAxB32AYTTqV8d3DuHdid8KsBoQQKIpywqX2Tld25Ffy2A8ZLMkooajaSUmti805FTy37BCL0n1LA3aEoUmhJIZb/AoJtiQuJojxwxMIthpRgLRudqzGLlbol0iOEelxSk5pfn/LNIb07cZzby/mpl9O5okZA3C4NUx6tanWr1HDQ6+eWKm905UjlfW8vDq7VSi00Zv/alchyWFm+h2Hko+qKvzlsv789q2NAR0fEWIhyGxAAElhZmYOijnma0skXY1UDpKcNlTV1PHDmnSiI0JITYoh2GpCINCrCka9Ko1mADhcGg8tzqCiztXmMQrQLyaIueOSjvt6C7fkced/N7VbUhQdZuHKCSmc0z2U0UkhGDohdCA/85KuQnqcktOGYKuZy88/++ohO5OVmWV+jSZ4knL2F9V0yvUuHBrHAx/pqaj1f82YYCPzzmtfj1ciORWQK0ISyVnE8oOlAR3nDqBHaKD0iA72Gw3QqYoUeJecVkjDKZGcRZTUONs9RghBbmE132/vHO3f68Yn+w3VujXBrLHHHxaWSE4U0nBKJGcRFkP7H3lFUcjMKeexL3ahdYLnednweM7tG9Vmq7drxyUxqkfYcV9HIjlRSMMpkZxFpCWFtptElZVfQXF5HdkltWw+FFho1x96ncqrt4zkrqm9CLMamrbHhZr56xX9eWzmQCleITmtkMlBEslZxKTUMFYdKqPa4W61TwhBVY2THXub6zgLKuo75bpGvco903tz+5SeZBXXoKoKSRFWKVghOS2RHqdEchYRajFw34Rk7A3iAkKIpjrYwtJa1mzN9arvjO1k9R6jXiU1JpiUqCBpNCWnLcdlOJ966ikUReGee+5p2vbqq68yadIk7HY7iqJQVlbW7nmefPJJRo0ahc1mIzo6mssvv5z09HSvYyZNmoSiKF4/t9122/EMXyI5K4m1m3h0Wip79hWy52AJuzOKWbo+iw078nG6PCr5CpAcaWVocuhJHatEcipyzIZz/fr1vPLKKwwePNhre01NDdOnT+dPf/pTwOdaunQpc+fOZc2aNSxevBin08nUqVOprvbu43frrbeSl5fX9PP0008f6/AlkrMag17H/VN7kZldzqHcCqprm7NtFUBR4OErB8i1R4nEB8e0xllVVcXs2bN57bXX+Nvf/ua1r9H7XLJkScDnW7Rokdfrt99+m+joaDZu3MjEiRObtlutVmJjY49lyBKJ5CguHBrHS+oIHvtiFzktWnglRVp5+MoBTOoXfRJHJ5GcuhyT4Zw7dy4XXXQRU6ZMaWU4O4Py8nIAwsPDvba/9957vPvuu8TGxnLJJZfw4IMPYrX67uRQX19PfX1zYkNFRUWnj1MiOd2ZNjiWCwbGsCmzlMLKemJDzAxNDpWepkTihw4bzvnz57Np0ybWr1/fFeNB0zTuuecexo8fz8CBA5u2X3vttSQnJxMfH8+2bduYN28e6enpfPbZZz7P8+STT/LII490yRglkjMJVVUY2SO8/QMlEgnQQcOZlZXF3XffzeLFizGbu6ZX3ty5c9mxYwcrVqzw2v7rX/+66d+DBg0iLi6OyZMnk5GRQWpqaqvzPPDAA9x3331NrysqKujWrVuXjFkikUgkZw8dMpwbN26koKCA4cOHN21zu90sW7aMF154gfr6enS6Y++hd8cdd/D111+zbNkyEhMT/R6blpYGwP79+30aTpPJhMnUsWa6EolEIpG0R4cM5+TJk9m+fbvXtjlz5tC3b1/mzZt3zEZTCMGdd97J559/zpIlS0hJab9LwpYtWwCIi4s7pmtKJBKJRHIsdMhw2mw2r3VHgKCgICIiIpq25+fnk5+fz/79+wHYvn07NpuNpKSkpmSfyZMnc8UVV3DHHXcAnvDs+++/z5dffonNZiM/3yMuHRISgsViISMjg/fff58LL7yQiIgItm3bxr333svEiRNblcNIJBKJRNKVdLpy0Msvv8ywYcO49dZbAZg4cSLDhg1jwYIFTcdkZGRQVNQs6/XSSy9RXl7OpEmTiIuLa/r58MMPATAajfzwww9MnTqVvn37cv/99zNz5ky++uqrzh6+RCKRSCR+UUSj3tYZjuwGL5GcXcjPvKSrkFq1EolEIpF0AGk4JRKJRCLpANJwSiQSiUTSAc6afpyNS7lSek8iOTto/KyfJWkckhPIWWM4KysrAaR6kERyllFZWUlISMjJHobkDOKsyarVNI3c3FxsNhuKojRJ8GVlZcmMuwCQ89Ux5Hx1jK6YLyEElZWVxMfHo6pyVUrSeZw1Hqeqqj5l/Ox2u/xi6wByvjqGnK+O0dnzJT1NSVcgH8MkEolEIukA0nBKJBKJRNIBzlrDaTKZeOihh2QHlQCR89Ux5Hx1DDlfktOJsyY5SCKRSCSSzuCs9TglEolEIjkWpOGUSCQSiaQDSMMpkUgkEkkHkIZTIpFIJJIOIA2nRCKRSCQd4Iw1nEuWLEFRFJ8/69evB6Curo6bbrqJQYMGodfrufzyywM6d/fu3Vud86mnnurCu+launKuSkpKmD17Nna7ndDQUG655Raqqqq68G66nkDmC2Dbtm1MmDABs9lMt27dePrpp9s9t69zzp8/vytvp8vpyvk6fPgwF110EVarlejoaH7/+9/jcrm68nYkkjNXcm/cuHHk5eV5bXvwwQf58ccfGTlyJAButxuLxcJdd93Fp59+2qHzP/roo9x6661Nr2022/EP+iTRlXM1e/Zs8vLyWLx4MU6nkzlz5vDrX/+a999/v1Pv4UQSyHxVVFQwdepUpkyZwssvv8z27du5+eabCQ0N5de//rXf87/11ltMnz696XVoaGin38OJpKvmy+12c9FFFxEbG8uqVavIy8vjhhtuwGAw8MQTT3T5fUnOYsRZgsPhEFFRUeLRRx/1uf/GG28Ul112WUDnSk5OFs8//3znDe4Uo7PmateuXQIQ69evb9r27bffCkVRRE5OTmcN96Tja75efPFFERYWJurr65u2zZs3T/Tp08fvuQDx+eefd9VQTwk6a74WLlwoVFUV+fn5TdteeuklYbfbvc4jkXQ2Z2yo9mgWLFhAcXExc+bM6ZTzPfXUU0RERDBs2DCeeeaZMyo81FlztXr1akJDQ5u8CoApU6agqipr16493mGeMviar9WrVzNx4kSMRmPTtmnTppGenk5paanf882dO5fIyEhGjx7Nm2++ecb1k+ys+Vq9ejWDBg0iJibG6z0VFRXs3Lmz625ActZzxoZqj+aNN95g2rRpPjukdJS77rqL4cOHEx4ezqpVq3jggQfIy8vjueee64SRnnw6a67y8/OJjo722qbX6wkPDyc/P/+4zn0q4Wu+8vPzSUlJ8Tqu8Qs+Pz+fsLAwn+d69NFHOf/887FarXz//ffcfvvtVFVVcdddd3XdDZxgOmu+8vPzvYzm0e+RSLqK087j/OMf/9hmokHjz549e7zek52dzXfffcctt9zSKWO47777mDRpEoMHD+a2227j2Wef5d///jf19fWdcv7O4lSYq9OJU2G+HnzwQcaPH8+wYcOYN28ef/jDH3jmmWc65dydzakwXxLJyeC08zjvv/9+brrpJr/H9OjRw+v1W2+9RUREBJdeemmXjCktLQ2Xy0VmZiZ9+vTpkmscCyd7rmJjYykoKPDa5nK5KCkpITY29rjP39l05nzFxsZy5MgRr22Nrzty72lpaTz22GPU19efcgLoJ3u+YmNjWbduXYfeI5F0Bqed4YyKiiIqKirg44UQvPXWW03Zdl3Bli1bUFW1VVjyZHOy52rs2LGUlZWxceNGRowYAcBPP/2EpmmkpaUd9/k7m86cr7Fjx/LnP/8Zp9PZtG/x4sX06dOnzTCtL7Zs2UJYWNgpZzTh5M/X2LFjefzxxykoKGj67C1evBi73U7//v2P8a4kkgA4qalJJ4AffvhBAGL37t0+9+/cuVNs3rxZXHLJJWLSpEli8+bNYvPmzU37165dK/r06SOys7OFEEKsWrVKPP/882LLli0iIyNDvPvuuyIqKkrccMMNJ+J2upTOnishhJg+fboYNmyYWLt2rVixYoXo1auXmDVrVlffygnB33yVlZWJmJgYcf3114sdO3aI+fPnC6vVKl555ZWmYz777DOvrNEFCxaI1157TWzfvl3s27dPvPjii8JqtYq//vWvJ+R+uprOni+XyyUGDhwopk6dKrZs2SIWLVokoqKixAMPPHBC7kdy9nLGG85Zs2aJcePGtbk/OTlZAK1+Gvn5558FIA4ePCiEEGLjxo0iLS1NhISECLPZLPr16yeeeOIJUVdX19W30uV09lwJIURxcbGYNWuWCA4OFna7XcyZM0dUVlZ25W2cMNqbr61bt4pzzjlHmEwmkZCQIJ566imv/W+99ZbX/H377bdi6NChIjg4WAQFBYkhQ4aIl19+Wbjd7i67hxNJZ8+XEEJkZmaKGTNmCIvFIiIjI8X9998vnE5nl4xfImlE9uOUSCQSiaQDnHZZtRKJRCKRnEyk4ZRIJBKJpANIwymRSCQSSQeQhlMikUgkkg4gDadEIpFIJB1AGk6JRCKRSDqANJwSiUQikXQAaTglEolEIukA0nBKJBKJRNIBpOGUSCQSiaQDSMMpkUgkEkkH+H84vNVl7RrHUAAAAABJRU5ErkJggg==", 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" ] @@ -1293,7 +1469,14 @@ { "cell_type": "code", "execution_count": 14, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:39:12.255389Z", + "iopub.status.busy": "2024-08-16T20:39:12.254909Z", + "iopub.status.idle": "2024-08-16T20:39:13.228815Z", + "shell.execute_reply": "2024-08-16T20:39:13.228284Z" + } + }, "outputs": [ { "data": { @@ -1307,7 +1490,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -1332,7 +1515,14 @@ { "cell_type": "code", "execution_count": 15, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:39:13.231308Z", + "iopub.status.busy": "2024-08-16T20:39:13.230940Z", + "iopub.status.idle": "2024-08-16T20:39:13.233608Z", + "shell.execute_reply": "2024-08-16T20:39:13.233113Z" + } + }, "outputs": [], "source": [ "from harmonize_wq import clean" @@ -1341,16 +1531,21 @@ { "cell_type": "code", "execution_count": 16, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:39:13.235817Z", + "iopub.status.busy": "2024-08-16T20:39:13.235476Z", + "iopub.status.idle": "2024-08-16T20:39:16.900477Z", + "shell.execute_reply": "2024-08-16T20:39:16.899873Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\dataretrieval\\utils.py:87: UserWarning: Warning: 132649 incomplete dates found, consider setting datetime_index to False.\n", - " warnings.warn(\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/dataretrieval/utils.py:87: UserWarning: Warning: 132776 incomplete dates found, consider setting datetime_index to False.\n", + " warnings.warn(\n" ] } ], @@ -1376,7 +1571,14 @@ { "cell_type": "code", "execution_count": 17, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:39:16.903155Z", + "iopub.status.busy": "2024-08-16T20:39:16.902810Z", + "iopub.status.idle": "2024-08-16T20:39:23.113733Z", + "shell.execute_reply": "2024-08-16T20:39:23.113060Z" + } + }, "outputs": [ { "data": { @@ -1410,16 +1612,16 @@ " DataLoggerLine\n", " ResultDetectionConditionText\n", " ...\n", - " QA_E_coli\n", - " QA_Turbidity\n", " QA_Nitrogen\n", - " QA_pH\n", - " QA_Secchi\n", - " QA_Salinity\n", + " QA_E_coli\n", " QA_Carbon\n", + " QA_Salinity\n", " QA_Fecal_Coliform\n", + " QA_pH\n", " QA_Conductivity\n", + " QA_Secchi\n", " QA_DO\n", + " QA_Temperature\n", " \n", " \n", " \n", @@ -1568,15 +1770,15 @@ " ...\n", " \n", " \n", - " 405953\n", + " 416607\n", " USGS-MA\n", " USGS Massachusetts Water Science Center\n", - " nwisma.01.02400466\n", - " 2024-01-04\n", - " 10:00:00\n", + " nwisma.01.02400495\n", + " 2024-01-08\n", + " 12:00:00\n", " -0500\n", - " USGS-01096548\n", - " NWIS-126738261\n", + " USGS-01098530\n", + " NWIS-126836828\n", " NaN\n", " NaN\n", " ...\n", @@ -1592,15 +1794,15 @@ " NaN\n", " \n", " \n", - " 405954\n", + " 416608\n", " USGS-MA\n", " USGS Massachusetts Water Science Center\n", - " nwisma.01.02400495\n", - " 2024-01-08\n", - " 12:00:00\n", + " nwisma.01.02400639\n", + " 2024-02-12\n", + " 08:45:00\n", " -0500\n", - " USGS-01098530\n", - " NWIS-126744182\n", + " USGS-01097050\n", + " NWIS-126989046\n", " NaN\n", " NaN\n", " ...\n", @@ -1616,15 +1818,15 @@ " NaN\n", " \n", " \n", - " 405955\n", + " 416609\n", " USGS-MA\n", " USGS Massachusetts Water Science Center\n", - " nwisma.01.02400495\n", - " 2024-01-08\n", - " 12:00:00\n", + " nwisma.01.02400639\n", + " 2024-02-12\n", + " 08:45:00\n", " -0500\n", - " USGS-01098530\n", - " NWIS-126744192\n", + " USGS-01097050\n", + " NWIS-126989056\n", " NaN\n", " NaN\n", " ...\n", @@ -1640,15 +1842,15 @@ " NaN\n", " \n", " \n", - " 405956\n", + " 416610\n", " USGS-MA\n", " USGS Massachusetts Water Science Center\n", - " nwisma.01.02400495\n", - " 2024-01-08\n", - " 12:00:00\n", + " nwisma.01.02400639\n", + " 2024-02-12\n", + " 08:45:00\n", " -0500\n", - " USGS-01098530\n", - " NWIS-126744199\n", + " USGS-01097050\n", + " NWIS-126989063\n", " NaN\n", " NaN\n", " ...\n", @@ -1664,15 +1866,15 @@ " NaN\n", " \n", " \n", - " 405957\n", + " 416611\n", " USGS-MA\n", " USGS Massachusetts Water Science Center\n", - " nwisma.01.02400495\n", - " 2024-01-08\n", - " 12:00:00\n", + " nwisma.01.02400639\n", + " 2024-02-12\n", + " 08:45:00\n", " -0500\n", - " USGS-01098530\n", - " NWIS-126744200\n", + " USGS-01097050\n", + " NWIS-126989064\n", " NaN\n", " NaN\n", " ...\n", @@ -1689,7 +1891,7 @@ " \n", " \n", "\n", - "

371647 rows × 115 columns

\n", + "

380739 rows × 115 columns

\n", "" ], "text/plain": [ @@ -1700,11 +1902,11 @@ "3 IRWA \n", "5 MASSDEP \n", "... ... \n", - "405953 USGS-MA \n", - "405954 USGS-MA \n", - "405955 USGS-MA \n", - "405956 USGS-MA \n", - "405957 USGS-MA \n", + "416607 USGS-MA \n", + "416608 USGS-MA \n", + "416609 USGS-MA \n", + "416610 USGS-MA \n", + "416611 USGS-MA \n", "\n", " OrganizationFormalName \\\n", "0 Charles River Watershed Association (Massachus... \n", @@ -1713,11 +1915,11 @@ "3 Ipswich River Watershed Association (Volunteer) \n", "5 Massachusetts Department of Environmental Prot... \n", "... ... \n", - "405953 USGS Massachusetts Water Science Center \n", - "405954 USGS Massachusetts Water Science Center \n", - "405955 USGS Massachusetts Water Science Center \n", - "405956 USGS Massachusetts Water Science Center \n", - "405957 USGS Massachusetts Water Science Center \n", + "416607 USGS Massachusetts Water Science Center \n", + "416608 USGS Massachusetts Water Science Center \n", + "416609 USGS Massachusetts Water Science Center \n", + "416610 USGS Massachusetts Water Science Center \n", + "416611 USGS Massachusetts Water Science Center \n", "\n", " ActivityIdentifier ActivityStartDate \\\n", "0 CRWA-CYN20130809ROBTemp01 2013-08-09 \n", @@ -1726,11 +1928,11 @@ "3 IRWA-HB:20130630120000:FM 2013-06-30 \n", "5 MASSDEP-SM-4452 2013-09-25 \n", "... ... ... \n", - "405953 nwisma.01.02400466 2024-01-04 \n", - "405954 nwisma.01.02400495 2024-01-08 \n", - "405955 nwisma.01.02400495 2024-01-08 \n", - "405956 nwisma.01.02400495 2024-01-08 \n", - "405957 nwisma.01.02400495 2024-01-08 \n", + "416607 nwisma.01.02400495 2024-01-08 \n", + "416608 nwisma.01.02400639 2024-02-12 \n", + "416609 nwisma.01.02400639 2024-02-12 \n", + "416610 nwisma.01.02400639 2024-02-12 \n", + "416611 nwisma.01.02400639 2024-02-12 \n", "\n", " ActivityStartTime/Time ActivityStartTime/TimeZoneCode \\\n", "0 11:14:33 -0500 \n", @@ -1739,11 +1941,11 @@ "3 12:00:00 -0400 \n", "5 09:05:00 -0400 \n", "... ... ... \n", - "405953 10:00:00 -0500 \n", - "405954 12:00:00 -0500 \n", - "405955 12:00:00 -0500 \n", - "405956 12:00:00 -0500 \n", - "405957 12:00:00 -0500 \n", + "416607 12:00:00 -0500 \n", + "416608 08:45:00 -0500 \n", + "416609 08:45:00 -0500 \n", + "416610 08:45:00 -0500 \n", + "416611 08:45:00 -0500 \n", "\n", " MonitoringLocationIdentifier ResultIdentifier DataLoggerLine \\\n", "0 CRWA-ROB STORET-591631481 130809111433.0 \n", @@ -1752,52 +1954,52 @@ "3 IRWA-HB STORET-853064665 NaN \n", "5 MASSDEP-W0696 STORET-762964497 NaN \n", "... ... ... ... \n", - "405953 USGS-01096548 NWIS-126738261 NaN \n", - "405954 USGS-01098530 NWIS-126744182 NaN \n", - "405955 USGS-01098530 NWIS-126744192 NaN \n", - "405956 USGS-01098530 NWIS-126744199 NaN \n", - "405957 USGS-01098530 NWIS-126744200 NaN \n", + "416607 USGS-01098530 NWIS-126836828 NaN \n", + "416608 USGS-01097050 NWIS-126989046 NaN \n", + "416609 USGS-01097050 NWIS-126989056 NaN \n", + "416610 USGS-01097050 NWIS-126989063 NaN \n", + "416611 USGS-01097050 NWIS-126989064 NaN \n", "\n", - " ResultDetectionConditionText ... QA_E_coli QA_Turbidity QA_Nitrogen \\\n", - "0 NaN ... NaN NaN NaN \n", - "1 NaN ... NaN NaN NaN \n", - "2 NaN ... NaN NaN NaN \n", - "3 NaN ... NaN NaN NaN \n", - "5 NaN ... NaN NaN NaN \n", - "... ... ... ... ... ... \n", - "405953 NaN ... NaN NaN NaN \n", - "405954 NaN ... NaN NaN NaN \n", - "405955 NaN ... NaN NaN NaN \n", - "405956 NaN ... NaN NaN NaN \n", - "405957 NaN ... NaN NaN NaN \n", + " ResultDetectionConditionText ... QA_Nitrogen QA_E_coli QA_Carbon \\\n", + "0 NaN ... NaN NaN NaN \n", + "1 NaN ... NaN NaN NaN \n", + "2 NaN ... NaN NaN NaN \n", + "3 NaN ... NaN NaN NaN \n", + "5 NaN ... NaN NaN NaN \n", + "... ... ... ... ... ... \n", + "416607 NaN ... NaN NaN NaN \n", + "416608 NaN ... NaN NaN NaN \n", + "416609 NaN ... NaN NaN NaN \n", + "416610 NaN ... NaN NaN NaN \n", + "416611 NaN ... NaN NaN NaN \n", "\n", - " QA_pH QA_Secchi QA_Salinity QA_Carbon QA_Fecal_Coliform \\\n", - "0 NaN NaN NaN NaN NaN \n", - "1 NaN NaN NaN NaN NaN \n", - "2 NaN NaN NaN NaN NaN \n", - "3 NaN NaN NaN NaN NaN \n", - "5 NaN NaN NaN NaN NaN \n", - "... ... ... ... ... ... \n", - "405953 NaN NaN NaN NaN NaN \n", - "405954 NaN NaN NaN NaN NaN \n", - "405955 NaN NaN NaN NaN NaN \n", - "405956 NaN NaN NaN NaN NaN \n", - "405957 NaN NaN NaN NaN NaN \n", + " QA_Salinity QA_Fecal_Coliform QA_pH QA_Conductivity QA_Secchi QA_DO \\\n", + "0 NaN NaN NaN NaN NaN NaN \n", + "1 NaN NaN NaN NaN NaN NaN \n", + "2 NaN NaN NaN NaN NaN NaN \n", + "3 NaN NaN NaN NaN NaN NaN \n", + "5 NaN NaN NaN NaN NaN NaN \n", + "... ... ... ... ... ... ... \n", + "416607 NaN NaN NaN NaN NaN NaN \n", + "416608 NaN NaN NaN NaN NaN NaN \n", + "416609 NaN NaN NaN NaN NaN NaN \n", + "416610 NaN NaN NaN NaN NaN NaN \n", + "416611 NaN NaN NaN NaN NaN NaN \n", "\n", - " QA_Conductivity QA_DO \n", - "0 NaN NaN \n", - "1 NaN NaN \n", - "2 NaN NaN \n", - "3 NaN NaN \n", - "5 NaN NaN \n", - "... ... ... \n", - "405953 NaN NaN \n", - "405954 NaN NaN \n", - "405955 NaN NaN \n", - "405956 NaN NaN \n", - "405957 NaN NaN \n", + " QA_Temperature \n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "5 NaN \n", + "... ... \n", + "416607 NaN \n", + "416608 NaN \n", + "416609 NaN \n", + "416610 NaN \n", + "416611 NaN \n", "\n", - "[371647 rows x 115 columns]" + "[380739 rows x 115 columns]" ] }, "execution_count": 17, @@ -1814,7 +2016,14 @@ { "cell_type": "code", "execution_count": 18, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:39:23.116130Z", + "iopub.status.busy": "2024-08-16T20:39:23.115742Z", + "iopub.status.idle": "2024-08-16T20:39:24.056619Z", + "shell.execute_reply": "2024-08-16T20:39:24.056015Z" + } + }, "outputs": [], "source": [ "# Split table into main with columns of interest and characteristic specific columns/metadata\n", @@ -1824,7 +2033,14 @@ { "cell_type": "code", "execution_count": 19, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:39:24.059320Z", + "iopub.status.busy": "2024-08-16T20:39:24.058924Z", + "iopub.status.idle": "2024-08-16T20:39:25.960537Z", + "shell.execute_reply": "2024-08-16T20:39:25.959953Z" + } + }, "outputs": [], "source": [ "# Drop empty columns (QA columns without flags)\n", @@ -1841,7 +2057,14 @@ { "cell_type": "code", "execution_count": 20, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:39:25.962994Z", + "iopub.status.busy": "2024-08-16T20:39:25.962807Z", + "iopub.status.idle": "2024-08-16T20:39:51.663319Z", + "shell.execute_reply": "2024-08-16T20:39:51.662679Z" + } + }, "outputs": [], "source": [ "transformed_df = wrangle.collapse_results(main_df_small)" @@ -1875,7 +2098,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.12.4" } }, "nbformat": 4, diff --git a/demos/Harmonize_Pensacola_Detailed.ipynb b/demos/Harmonize_Pensacola_Detailed.ipynb index eeec613..abe30c8 100644 --- a/demos/Harmonize_Pensacola_Detailed.ipynb +++ b/demos/Harmonize_Pensacola_Detailed.ipynb @@ -55,7 +55,14 @@ { "cell_type": "code", "execution_count": 1, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:39:55.008622Z", + "iopub.status.busy": "2024-08-16T20:39:55.008428Z", + "iopub.status.idle": "2024-08-16T20:39:55.011780Z", + "shell.execute_reply": "2024-08-16T20:39:55.011323Z" + } + }, "outputs": [], "source": [ "import sys\n", @@ -70,8 +77,24 @@ { "cell_type": "code", "execution_count": 2, - "metadata": {}, - "outputs": [], + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:39:55.013873Z", + "iopub.status.busy": "2024-08-16T20:39:55.013654Z", + "iopub.status.idle": "2024-08-16T20:39:55.769642Z", + "shell.execute_reply": "2024-08-16T20:39:55.769057Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/dataretrieval/nadp.py:44: UserWarning: GDAL not installed. Some functions will not work.\n", + " warnings.warn('GDAL not installed. Some functions will not work.')\n" + ] + } + ], "source": [ "import dataretrieval.wqp as wqp\n", "from harmonize_wq import wrangle\n", @@ -91,7 +114,14 @@ { "cell_type": "code", "execution_count": 3, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:39:55.772425Z", + "iopub.status.busy": "2024-08-16T20:39:55.771961Z", + "iopub.status.idle": "2024-08-16T20:39:56.520886Z", + "shell.execute_reply": "2024-08-16T20:39:56.520212Z" + } + }, "outputs": [ { "data": { @@ -105,7 +135,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -124,7 +154,14 @@ { "cell_type": "code", "execution_count": 4, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:39:56.523321Z", + "iopub.status.busy": "2024-08-16T20:39:56.522989Z", + "iopub.status.idle": "2024-08-16T20:39:56.526827Z", + "shell.execute_reply": "2024-08-16T20:39:56.526256Z" + } + }, "outputs": [], "source": [ "# Note there are actually two polygons (one for each Bay)\n", @@ -138,7 +175,14 @@ { "cell_type": "code", "execution_count": 5, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:39:56.529384Z", + "iopub.status.busy": "2024-08-16T20:39:56.529020Z", + "iopub.status.idle": "2024-08-16T20:39:56.532240Z", + "shell.execute_reply": "2024-08-16T20:39:56.531731Z" + } + }, "outputs": [], "source": [ "# Build query with characteristicNames and the AOI extent\n", @@ -162,7 +206,14 @@ { "cell_type": "code", "execution_count": 6, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:39:56.534499Z", + "iopub.status.busy": "2024-08-16T20:39:56.534130Z", + "iopub.status.idle": "2024-08-16T20:40:05.459932Z", + "shell.execute_reply": "2024-08-16T20:40:05.459353Z" + } + }, "outputs": [], "source": [ "# Query stations (can be slow)\n", @@ -172,12 +223,19 @@ { "cell_type": "code", "execution_count": 7, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:40:05.462439Z", + "iopub.status.busy": "2024-08-16T20:40:05.462101Z", + "iopub.status.idle": "2024-08-16T20:40:05.466219Z", + "shell.execute_reply": "2024-08-16T20:40:05.465734Z" + } + }, "outputs": [ { "data": { "text/plain": [ - "(2631, 37)" + "(2725, 37)" ] }, "execution_count": 7, @@ -193,7 +251,14 @@ { "cell_type": "code", "execution_count": 8, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:40:05.468390Z", + "iopub.status.busy": "2024-08-16T20:40:05.468061Z", + "iopub.status.idle": "2024-08-16T20:40:05.486457Z", + "shell.execute_reply": "2024-08-16T20:40:05.485897Z" + } + }, "outputs": [ { "data": { @@ -459,7 +524,14 @@ { "cell_type": "code", "execution_count": 9, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:40:05.488619Z", + "iopub.status.busy": "2024-08-16T20:40:05.488265Z", + "iopub.status.idle": "2024-08-16T20:40:05.493500Z", + "shell.execute_reply": "2024-08-16T20:40:05.492957Z" + } + }, "outputs": [ { "data": { @@ -483,7 +555,14 @@ { "cell_type": "code", "execution_count": 10, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:40:05.495901Z", + "iopub.status.busy": "2024-08-16T20:40:05.495532Z", + "iopub.status.idle": "2024-08-16T20:40:05.650795Z", + "shell.execute_reply": "2024-08-16T20:40:05.650205Z" + } + }, "outputs": [], "source": [ "# Harmonize location datums to 4326 (Note we keep intermediate columns using intermediate_columns=True)\n", @@ -493,92 +572,15 @@ { "cell_type": "code", "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "\u001b[1;31mSignature:\u001b[0m\n", - "\u001b[0mlocation\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mharmonize_locations\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m\n", - "\u001b[0m \u001b[0mdf_in\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", - "\u001b[0m \u001b[0mout_EPSG\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m4326\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", - "\u001b[0m \u001b[0mintermediate_columns\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", - "\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", - "\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;31mDocstring:\u001b[0m\n", - "Create harmonized geopandas GeoDataframe from pandas DataFrame.\n", - "\n", - "Takes a :class:`~pandas.DataFrame` with lat/lon in multiple Coordinate\n", - "Reference Systems (CRS), transforms them to out_EPSG CRS, and converts to\n", - ":class:`geopandas.GeoDataFrame`. A 'QA_flag' column is added to the result\n", - "and populated for any row that has location based problems like limited\n", - "decimal precision or an unknown input CRS.\n", - "\n", - "Parameters\n", - "----------\n", - "df_in : pandas.DataFrame\n", - " DataFrame with the required columns (see kwargs for expected defaults)\n", - " to be converted to GeoDataFrame.\n", - "out_EPSG : int, optional\n", - " EPSG factory code for desired output Coordinate Reference System datum.\n", - " The default is 4326, for the WGS84 Datum used by WQP queries.\n", - "intermediate_columns : Boolean, optional\n", - " Return intermediate columns. Default 'False' does not return these.\n", - "**kwargs: optional\n", - " Accepts crs_col, lat_col, and lon_col parameters if non-default:\n", - "crs_col : str, optional\n", - " Name of column in DataFrame with the Coordinate Reference System datum.\n", - " The default is 'HorizontalCoordinateReferenceSystemDatumName'.\n", - "lat_col : str, optional\n", - " Name of column in DataFrame with the latitude coordinate.\n", - " The default is 'LatitudeMeasure'.\n", - "lon_col : str, optional\n", - " Name of column in DataFrame with the longitude coordinate.\n", - " The default is 'LongitudeMeasure'.\n", - "\n", - "Returns\n", - "-------\n", - "gdf : geopandas.GeoDataFrame\n", - " GeoDataFrame of df_in with coordinates in out_EPSG datum.\n", - "\n", - "Examples\n", - "--------\n", - "Build pandas DataFrame to use in example:\n", - "\n", - ">>> df_in = pandas.DataFrame({'LatitudeMeasure': [27.5950355,\n", - "... 27.52183,\n", - "... 28.0661111],\n", - "... 'LongitudeMeasure': [-82.0300865,\n", - "... -82.64476,\n", - "... -82.3775],\n", - "... 'HorizontalCoordinateReferenceSystemDatumName': ['NAD83',\n", - "... 'WGS84',\n", - "... 'NAD27'],\n", - "... })\n", - ">>> df_in\n", - " LatitudeMeasure ... HorizontalCoordinateReferenceSystemDatumName\n", - "0 27.595036 ... NAD83\n", - "1 27.521830 ... WGS84\n", - "2 28.066111 ... NAD27\n", - "\n", - "[3 rows x 3 columns]\n", - "\n", - ">>> from harmonize_wq import location\n", - ">>> location.harmonize_locations(df_in)\n", - " LatitudeMeasure LongitudeMeasure ... QA_flag geometry\n", - "0 27.595036 -82.030086 ... NaN POINT (-82.03009 27.59504)\n", - "1 27.521830 -82.644760 ... NaN POINT (-82.64476 27.52183)\n", - "2 28.066111 -82.377500 ... NaN POINT (-82.37750 28.06611)\n", - "\n", - "[3 rows x 5 columns]\n", - "\u001b[1;31mFile:\u001b[0m c:\\users\\jbousqui\\local_gis\\python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\location.py\n", - "\u001b[1;31mType:\u001b[0m function" - ] - }, - "metadata": {}, - "output_type": "display_data" + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:40:05.653402Z", + "iopub.status.busy": "2024-08-16T20:40:05.653018Z", + "iopub.status.idle": "2024-08-16T20:40:05.691172Z", + "shell.execute_reply": "2024-08-16T20:40:05.690604Z" } - ], + }, + "outputs": [], "source": [ "location.harmonize_locations?" ] @@ -586,12 +588,19 @@ { "cell_type": "code", "execution_count": 12, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:40:05.693541Z", + "iopub.status.busy": "2024-08-16T20:40:05.693192Z", + "iopub.status.idle": "2024-08-16T20:40:05.697114Z", + "shell.execute_reply": "2024-08-16T20:40:05.696557Z" + } + }, "outputs": [ { "data": { "text/plain": [ - "(2631, 42)" + "(2725, 42)" ] }, "execution_count": 12, @@ -607,7 +616,14 @@ { "cell_type": "code", "execution_count": 13, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:40:05.699582Z", + "iopub.status.busy": "2024-08-16T20:40:05.699150Z", + "iopub.status.idle": "2024-08-16T20:40:05.705002Z", + "shell.execute_reply": "2024-08-16T20:40:05.704434Z" + } + }, "outputs": [ { "data": { @@ -633,12 +649,19 @@ { "cell_type": "code", "execution_count": 14, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:40:05.707192Z", + "iopub.status.busy": "2024-08-16T20:40:05.706844Z", + "iopub.status.idle": "2024-08-16T20:40:05.710761Z", + "shell.execute_reply": "2024-08-16T20:40:05.710195Z" + } + }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 14, @@ -654,7 +677,14 @@ { "cell_type": "code", "execution_count": 15, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:40:05.712964Z", + "iopub.status.busy": "2024-08-16T20:40:05.712589Z", + "iopub.status.idle": "2024-08-16T20:40:05.719086Z", + "shell.execute_reply": "2024-08-16T20:40:05.718499Z" + } + }, "outputs": [ { "data": { @@ -682,7 +712,14 @@ { "cell_type": "code", "execution_count": 16, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:40:05.721370Z", + "iopub.status.busy": "2024-08-16T20:40:05.721023Z", + "iopub.status.idle": "2024-08-16T20:40:05.959652Z", + "shell.execute_reply": "2024-08-16T20:40:05.958992Z" + } + }, "outputs": [ { "data": { @@ -696,7 +733,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -713,7 +750,14 @@ { "cell_type": "code", "execution_count": 17, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:40:05.961844Z", + "iopub.status.busy": "2024-08-16T20:40:05.961641Z", + "iopub.status.idle": "2024-08-16T20:40:05.986581Z", + "shell.execute_reply": "2024-08-16T20:40:05.986093Z" + } + }, "outputs": [], "source": [ "# Clip to area of interest\n", @@ -723,7 +767,14 @@ { "cell_type": "code", "execution_count": 18, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:40:05.988991Z", + "iopub.status.busy": "2024-08-16T20:40:05.988616Z", + "iopub.status.idle": "2024-08-16T20:40:06.147218Z", + "shell.execute_reply": "2024-08-16T20:40:06.146442Z" + } + }, "outputs": [ { "data": { @@ -737,7 +788,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -754,12 +805,19 @@ { "cell_type": "code", "execution_count": 19, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:40:06.150177Z", + "iopub.status.busy": "2024-08-16T20:40:06.149542Z", + "iopub.status.idle": "2024-08-16T20:40:06.154361Z", + "shell.execute_reply": "2024-08-16T20:40:06.153739Z" + } + }, "outputs": [ { "data": { "text/plain": [ - "1261" + "1305" ] }, "execution_count": 19, @@ -775,7 +833,14 @@ { "cell_type": "code", "execution_count": 20, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:40:06.156745Z", + "iopub.status.busy": "2024-08-16T20:40:06.156550Z", + "iopub.status.idle": "2024-08-16T20:40:06.159471Z", + "shell.execute_reply": "2024-08-16T20:40:06.158843Z" + } + }, "outputs": [], "source": [ "# To save the results to a shapefile\n", @@ -794,13 +859,20 @@ { "cell_type": "code", "execution_count": 21, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:40:06.161953Z", + "iopub.status.busy": "2024-08-16T20:40:06.161540Z", + "iopub.status.idle": "2024-08-16T20:41:52.072446Z", + "shell.execute_reply": "2024-08-16T20:41:52.071874Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\dataretrieval\\wqp.py:83: DtypeWarning: Columns (9,10,13,15,17,19,20,21,22,23,28,31,33,34,36,58,60,61,64,65,69,70,71,72,73) have mixed types. Specify dtype option on import or set low_memory=False.\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/dataretrieval/wqp.py:83: DtypeWarning: Columns (10,13,15,17,19,20,21,22,23,28,31,33,34,36,58,60,61,64,65,69,70,71,72,73) have mixed types. Specify dtype option on import or set low_memory=False.\n", " df = pd.read_csv(StringIO(response.text), delimiter=',')\n" ] } @@ -814,7 +886,14 @@ { "cell_type": "code", "execution_count": 22, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:41:52.074746Z", + "iopub.status.busy": "2024-08-16T20:41:52.074411Z", + "iopub.status.idle": "2024-08-16T20:41:52.361084Z", + "shell.execute_reply": "2024-08-16T20:41:52.360474Z" + } + }, "outputs": [ { "data": { @@ -1006,40 +1085,40 @@ " ...\n", " \n", " \n", - " 384415\n", - " 21FLPNS_WQX\n", - " FL Dept. of Environmental Protection, Northwes...\n", - " 21FLPNS_WQX-G4NW0509-10/17/23\n", - " 2023-10-17\n", - " 11:05:00\n", - " EST\n", - " 21FLPNS_WQX-G4NW0509\n", - " STORET-993424039\n", - " NaN\n", + " 398019\n", + " 21AWIC\n", + " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", + " 21AWIC-335775_1872970_173\n", + " 2024-03-12\n", + " 08:45:00\n", + " CDT\n", + " 21AWIC-1122\n", + " STORET-1039185742\n", + " 1872970.0\n", " NaN\n", " ...\n", " NaN\n", " NaN\n", " NaN\n", - " https://www.waterqualitydata.us/data/providers...\n", " NaN\n", - " NELAC\n", + " NaN\n", + " NaN\n", " NaN\n", " NaN\n", " NaN\n", " STORET\n", " \n", " \n", - " 384416\n", - " 21FLPNS_WQX\n", - " FL Dept. of Environmental Protection, Northwes...\n", - " 21FLPNS_WQX-G4NW0509-10/17/23-FP1\n", - " 2023-10-17\n", - " 11:05:00\n", - " EST\n", - " 21FLPNS_WQX-G4NW0509\n", - " STORET-993436286\n", - " NaN\n", + " 398020\n", + " 21AWIC\n", + " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", + " 21AWIC-335811_1873102_173\n", + " 2024-03-13\n", + " 08:20:00\n", + " CDT\n", + " 21AWIC-9768\n", + " STORET-1039186101\n", + " 1873102.0\n", " NaN\n", " ...\n", " NaN\n", @@ -1054,40 +1133,40 @@ " STORET\n", " \n", " \n", - " 384417\n", - " 21FLPNS_WQX\n", - " FL Dept. of Environmental Protection, Northwes...\n", - " 21FLPNS_WQX-G5NW0068-10/17/23\n", - " 2023-10-17\n", - " 09:10:00\n", - " EST\n", - " 21FLPNS_WQX-G5NW0068\n", - " STORET-993415132\n", - " NaN\n", + " 398021\n", + " 21AWIC\n", + " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", + " 21AWIC-335642_1872425_173\n", + " 2024-03-06\n", + " 07:45:00\n", + " CDT\n", + " 21AWIC-1208\n", + " STORET-1039185482\n", + " 1872425.0\n", " NaN\n", " ...\n", " NaN\n", " NaN\n", " NaN\n", - " https://www.waterqualitydata.us/data/providers...\n", " NaN\n", - " NELAC\n", + " NaN\n", + " NaN\n", " NaN\n", " NaN\n", " NaN\n", " STORET\n", " \n", " \n", - " 384418\n", - " 21FLPNS_WQX\n", - " FL Dept. of Environmental Protection, Northwes...\n", - " 21FLPNS_WQX-G4NW0508-10/17/23-FP2\n", - " 2023-10-17\n", - " 11:55:00\n", - " EST\n", - " 21FLPNS_WQX-G4NW0508\n", - " STORET-993431681\n", - " NaN\n", + " 398022\n", + " 21AWIC\n", + " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", + " 21AWIC-335728_1874877_173\n", + " 2024-03-06\n", + " 11:30:00\n", + " CDT\n", + " 21AWIC-1152\n", + " STORET-1039189350\n", + " 1874877.0\n", " NaN\n", " ...\n", " NaN\n", @@ -1102,16 +1181,16 @@ " STORET\n", " \n", " \n", - " 384419\n", + " 398023\n", " 21AWIC\n", " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", - " 21AWIC-333164_1852026_173\n", - " 2023-10-04\n", - " 10:30:00\n", + " 21AWIC-335775_1872969_173\n", + " 2024-03-12\n", + " 08:45:00\n", " CDT\n", - " 21AWIC-1152\n", - " STORET-998548771\n", - " 1852026.0\n", + " 21AWIC-1122\n", + " STORET-1039185734\n", + " 1872969.0\n", " NaN\n", " ...\n", " NaN\n", @@ -1127,7 +1206,7 @@ " \n", " \n", "\n", - "

384420 rows × 78 columns

\n", + "

398024 rows × 78 columns

\n", "" ], "text/plain": [ @@ -1138,11 +1217,11 @@ "3 21FLSEAS_WQX \n", "4 21FLBFA_WQX \n", "... ... \n", - "384415 21FLPNS_WQX \n", - "384416 21FLPNS_WQX \n", - "384417 21FLPNS_WQX \n", - "384418 21FLPNS_WQX \n", - "384419 21AWIC \n", + "398019 21AWIC \n", + "398020 21AWIC \n", + "398021 21AWIC \n", + "398022 21AWIC \n", + "398023 21AWIC \n", "\n", " OrganizationFormalName \\\n", "0 FL Dept. of Environmental Protection, Northwes... \n", @@ -1151,76 +1230,76 @@ "3 Florida Department of Environmental Protection \n", "4 FL Dept of Environmental Protection , Bream Fi... \n", "... ... \n", - "384415 FL Dept. of Environmental Protection, Northwes... \n", - "384416 FL Dept. of Environmental Protection, Northwes... \n", - "384417 FL Dept. of Environmental Protection, Northwes... \n", - "384418 FL Dept. of Environmental Protection, Northwes... \n", - "384419 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", - "\n", - " ActivityIdentifier ActivityStartDate \\\n", - "0 21FLPNS_WQX-1536988F1 2013-09-17 \n", - "1 21FLPNS_WQX-1520810L 2013-07-23 \n", - "2 21FLCBA_WQX-BAS219848-162813 2013-09-23 \n", - "3 21FLSEAS_WQX-028800618132 2013-06-18 \n", - "4 21FLBFA_WQX-1558337F1 2013-12-01 \n", - "... ... ... \n", - "384415 21FLPNS_WQX-G4NW0509-10/17/23 2023-10-17 \n", - "384416 21FLPNS_WQX-G4NW0509-10/17/23-FP1 2023-10-17 \n", - "384417 21FLPNS_WQX-G5NW0068-10/17/23 2023-10-17 \n", - "384418 21FLPNS_WQX-G4NW0508-10/17/23-FP2 2023-10-17 \n", - "384419 21AWIC-333164_1852026_173 2023-10-04 \n", - "\n", - " ActivityStartTime/Time ActivityStartTime/TimeZoneCode \\\n", - "0 11:01:00 EST \n", - "1 10:01:00 EST \n", - "2 17:15:00 CST \n", - "3 11:01:00 EST \n", - "4 13:01:00 EST \n", - "... ... ... \n", - "384415 11:05:00 EST \n", - "384416 11:05:00 EST \n", - "384417 09:10:00 EST \n", - "384418 11:55:00 EST \n", - "384419 10:30:00 CDT \n", - "\n", - " MonitoringLocationIdentifier ResultIdentifier DataLoggerLine \\\n", - "0 21FLPNS_WQX-33030019 STORET-308146602 NaN \n", - "1 21FLPNS_WQX-33020146 STORET-308157908 NaN \n", - "2 21FLCBA_WQX-BAS02 STORET-760593202 NaN \n", - "3 21FLSEAS_WQX-02SEAS880 STORET-310466105 NaN \n", - "4 21FLBFA_WQX-33020LT2 STORET-291224060 NaN \n", - "... ... ... ... \n", - "384415 21FLPNS_WQX-G4NW0509 STORET-993424039 NaN \n", - "384416 21FLPNS_WQX-G4NW0509 STORET-993436286 NaN \n", - "384417 21FLPNS_WQX-G5NW0068 STORET-993415132 NaN \n", - "384418 21FLPNS_WQX-G4NW0508 STORET-993431681 NaN \n", - "384419 21AWIC-1152 STORET-998548771 1852026.0 \n", - "\n", - " ResultDetectionConditionText ... AnalysisEndTime/TimeZoneCode \\\n", - "0 NaN ... NaN \n", - "1 NaN ... NaN \n", - "2 NaN ... NaN \n", - "3 NaN ... NaN \n", - "4 NaN ... NaN \n", - "... ... ... ... \n", - "384415 NaN ... NaN \n", - "384416 NaN ... NaN \n", - "384417 NaN ... NaN \n", - "384418 NaN ... NaN \n", - "384419 NaN ... NaN \n", - "\n", - " ResultLaboratoryCommentCode ResultLaboratoryCommentText \\\n", - "0 NaN NaN \n", - "1 NaN NaN \n", - "2 NaN NaN \n", - "3 NaN NaN \n", - "4 NaN NaN \n", - "... ... ... \n", - "384415 NaN NaN \n", - "384416 NaN NaN \n", - "384417 NaN NaN \n", - "384418 NaN NaN \n", - "384419 NaN NaN \n", + "398019 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", + "398020 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", + "398021 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", + "398022 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", + "398023 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", + "\n", + " ActivityIdentifier ActivityStartDate ActivityStartTime/Time \\\n", + "0 21FLPNS_WQX-1536988F1 2013-09-17 11:01:00 \n", + "1 21FLPNS_WQX-1520810L 2013-07-23 10:01:00 \n", + "2 21FLCBA_WQX-BAS219848-162813 2013-09-23 17:15:00 \n", + "3 21FLSEAS_WQX-028800618132 2013-06-18 11:01:00 \n", + "4 21FLBFA_WQX-1558337F1 2013-12-01 13:01:00 \n", + "... ... ... ... \n", + "398019 21AWIC-335775_1872970_173 2024-03-12 08:45:00 \n", + "398020 21AWIC-335811_1873102_173 2024-03-13 08:20:00 \n", + "398021 21AWIC-335642_1872425_173 2024-03-06 07:45:00 \n", + "398022 21AWIC-335728_1874877_173 2024-03-06 11:30:00 \n", + "398023 21AWIC-335775_1872969_173 2024-03-12 08:45:00 \n", + "\n", + " ActivityStartTime/TimeZoneCode MonitoringLocationIdentifier \\\n", + "0 EST 21FLPNS_WQX-33030019 \n", + "1 EST 21FLPNS_WQX-33020146 \n", + "2 CST 21FLCBA_WQX-BAS02 \n", + "3 EST 21FLSEAS_WQX-02SEAS880 \n", + "4 EST 21FLBFA_WQX-33020LT2 \n", + "... ... ... \n", + "398019 CDT 21AWIC-1122 \n", + "398020 CDT 21AWIC-9768 \n", + "398021 CDT 21AWIC-1208 \n", + "398022 CDT 21AWIC-1152 \n", + "398023 CDT 21AWIC-1122 \n", + "\n", + " ResultIdentifier DataLoggerLine ResultDetectionConditionText ... \\\n", + "0 STORET-308146602 NaN NaN ... \n", + "1 STORET-308157908 NaN NaN ... \n", + "2 STORET-760593202 NaN NaN ... \n", + "3 STORET-310466105 NaN NaN ... \n", + "4 STORET-291224060 NaN NaN ... \n", + "... ... ... ... ... \n", + "398019 STORET-1039185742 1872970.0 NaN ... \n", + "398020 STORET-1039186101 1873102.0 NaN ... \n", + "398021 STORET-1039185482 1872425.0 NaN ... \n", + "398022 STORET-1039189350 1874877.0 NaN ... \n", + "398023 STORET-1039185734 1872969.0 NaN ... \n", + "\n", + " AnalysisEndTime/TimeZoneCode ResultLaboratoryCommentCode \\\n", + "0 NaN NaN \n", + "1 NaN NaN \n", + "2 NaN NaN \n", + "3 NaN NaN \n", + "4 NaN NaN \n", + "... ... ... \n", + "398019 NaN NaN \n", + "398020 NaN NaN \n", + "398021 NaN NaN \n", + "398022 NaN NaN \n", + "398023 NaN NaN \n", + "\n", + " ResultLaboratoryCommentText \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "398019 NaN \n", + "398020 NaN \n", + "398021 NaN \n", + "398022 NaN \n", + "398023 NaN \n", "\n", " ResultDetectionQuantitationLimitUrl \\\n", "0 NaN \n", @@ -1229,11 +1308,11 @@ "3 NaN \n", "4 NaN \n", "... ... \n", - "384415 https://www.waterqualitydata.us/data/providers... \n", - "384416 NaN \n", - "384417 https://www.waterqualitydata.us/data/providers... \n", - "384418 NaN \n", - "384419 NaN \n", + "398019 NaN \n", + "398020 NaN \n", + "398021 NaN \n", + "398022 NaN \n", + "398023 NaN \n", "\n", " LaboratoryAccreditationIndicator LaboratoryAccreditationAuthorityName \\\n", "0 NaN NaN \n", @@ -1242,11 +1321,11 @@ "3 NaN NaN \n", "4 NaN NaN \n", "... ... ... \n", - "384415 NaN NELAC \n", - "384416 NaN NaN \n", - "384417 NaN NELAC \n", - "384418 NaN NaN \n", - "384419 NaN NaN \n", + "398019 NaN NaN \n", + "398020 NaN NaN \n", + "398021 NaN NaN \n", + "398022 NaN NaN \n", + "398023 NaN NaN \n", "\n", " TaxonomistAccreditationIndicator TaxonomistAccreditationAuthorityName \\\n", "0 NaN NaN \n", @@ -1255,11 +1334,11 @@ "3 NaN NaN \n", "4 NaN NaN \n", "... ... ... \n", - "384415 NaN NaN \n", - "384416 NaN NaN \n", - "384417 NaN NaN \n", - "384418 NaN NaN \n", - "384419 NaN NaN \n", + "398019 NaN NaN \n", + "398020 NaN NaN \n", + "398021 NaN NaN \n", + "398022 NaN NaN \n", + "398023 NaN NaN \n", "\n", " LabSamplePreparationUrl ProviderName \n", "0 NaN STORET \n", @@ -1268,13 +1347,13 @@ "3 NaN STORET \n", "4 NaN STORET \n", "... ... ... \n", - "384415 NaN STORET \n", - "384416 NaN STORET \n", - "384417 NaN STORET \n", - "384418 NaN STORET \n", - "384419 NaN STORET \n", + "398019 NaN STORET \n", + "398020 NaN STORET \n", + "398021 NaN STORET \n", + "398022 NaN STORET \n", + "398023 NaN STORET \n", "\n", - "[384420 rows x 78 columns]" + "[398024 rows x 78 columns]" ] }, "execution_count": 22, @@ -1290,7 +1369,14 @@ { "cell_type": "code", "execution_count": 23, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:41:52.363432Z", + "iopub.status.busy": "2024-08-16T20:41:52.363225Z", + "iopub.status.idle": "2024-08-16T20:41:53.163842Z", + "shell.execute_reply": "2024-08-16T20:41:53.163225Z" + } + }, "outputs": [ { "data": { @@ -1304,7 +1390,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -1337,7 +1423,14 @@ { "cell_type": "code", "execution_count": 24, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:41:53.166380Z", + "iopub.status.busy": "2024-08-16T20:41:53.165912Z", + "iopub.status.idle": "2024-08-16T20:41:53.168517Z", + "shell.execute_reply": "2024-08-16T20:41:53.167995Z" + } + }, "outputs": [], "source": [ "# See Documentation\n", @@ -1356,39 +1449,37 @@ "cell_type": "code", "execution_count": 25, "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:41:53.170775Z", + "iopub.status.busy": "2024-08-16T20:41:53.170442Z", + "iopub.status.idle": "2024-08-16T20:41:55.125738Z", + "shell.execute_reply": "2024-08-16T20:41:55.125120Z" + }, "scrolled": true }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ "-Usable results-\n", - "count 12978.000000\n", - "mean 1.186557\n", - "std 2.433313\n", + "count 13323.000000\n", + "mean 1.195995\n", + "std 2.406123\n", "min 0.000000\n", "25% 0.600000\n", "50% 1.000000\n", "75% 1.500000\n", "max 260.000000\n", "dtype: float64\n", - "Unusable results: 66\n", + "Unusable results: 75\n", "Usable results with inferred units: 0\n", - "Results outside threshold (0.0 to 15.78643488828023): 1\n" + "Results outside threshold (0.0 to 15.632730548117229): 1\n" ] }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -1415,7 +1506,14 @@ { "cell_type": "code", "execution_count": 26, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:41:55.128278Z", + "iopub.status.busy": "2024-08-16T20:41:55.127917Z", + "iopub.status.idle": "2024-08-16T20:41:55.174283Z", + "shell.execute_reply": "2024-08-16T20:41:55.173721Z" + } + }, "outputs": [ { "data": { @@ -1448,7 +1546,7 @@ " \n", " \n", " \n", - " 48\n", + " 53\n", " 21FLPNS_WQX-33020JF1\n", " 0.60\n", " m\n", @@ -1457,7 +1555,7 @@ " 0.6 meter\n", " \n", " \n", - " 55\n", + " 60\n", " 21FLGW_WQX-3565\n", " .3\n", " m\n", @@ -1466,7 +1564,7 @@ " 0.3 meter\n", " \n", " \n", - " 59\n", + " 64\n", " 21FLBFA_WQX-33010016\n", " 1.5\n", " m\n", @@ -1475,7 +1573,7 @@ " 1.5 meter\n", " \n", " \n", - " 100\n", + " 107\n", " 21AWIC-7290\n", " .94\n", " m\n", @@ -1484,13 +1582,13 @@ " 0.94 meter\n", " \n", " \n", - " 119\n", - " 21AWIC-1208\n", - " .49\n", + " 130\n", + " 21FLBFA_WQX-33010030\n", + " 1.25\n", " m\n", " NaN\n", " m\n", - " 0.49 meter\n", + " 1.25 meter\n", " \n", " \n", " ...\n", @@ -1502,83 +1600,83 @@ " ...\n", " \n", " \n", - " 384356\n", - " 21FLPNS_WQX-G4NW0032\n", - " 1\n", + " 397900\n", + " 21AWIC-9630\n", + " 2.65\n", " m\n", " NaN\n", " m\n", - " 1.0 meter\n", + " 2.65 meter\n", " \n", " \n", - " 384367\n", - " 21FLPNS_WQX-G5NW0035\n", - " 0.7\n", + " 397938\n", + " 21AWIC-9631\n", + " 1.33\n", " m\n", " NaN\n", " m\n", - " 0.7 meter\n", + " 1.33 meter\n", " \n", " \n", - " 384380\n", - " 21FLPNS_WQX-G5NW0007\n", - " 0.9\n", + " 397950\n", + " 21AWIC-9768\n", + " .87\n", " m\n", " NaN\n", " m\n", - " 0.9 meter\n", + " 0.87 meter\n", " \n", " \n", - " 384381\n", - " 21FLPNS_WQX-G4NW0035\n", - " 1.2\n", + " 397967\n", + " 21AWIC-1063\n", + " 1.14\n", " m\n", " NaN\n", " m\n", - " 1.2 meter\n", + " 1.14 meter\n", " \n", " \n", - " 384383\n", - " 21FLPNS_WQX-G4NW0508\n", - " 1.4\n", + " 398002\n", + " 21AWIC-8594\n", + " 2.12\n", " m\n", " NaN\n", " m\n", - " 1.4 meter\n", + " 2.12 meter\n", " \n", " \n", "\n", - "

13044 rows × 6 columns

\n", + "

13398 rows × 6 columns

\n", "" ], "text/plain": [ " MonitoringLocationIdentifier ResultMeasureValue \\\n", - "48 21FLPNS_WQX-33020JF1 0.60 \n", - "55 21FLGW_WQX-3565 .3 \n", - "59 21FLBFA_WQX-33010016 1.5 \n", - "100 21AWIC-7290 .94 \n", - "119 21AWIC-1208 .49 \n", + "53 21FLPNS_WQX-33020JF1 0.60 \n", + "60 21FLGW_WQX-3565 .3 \n", + "64 21FLBFA_WQX-33010016 1.5 \n", + "107 21AWIC-7290 .94 \n", + "130 21FLBFA_WQX-33010030 1.25 \n", "... ... ... \n", - "384356 21FLPNS_WQX-G4NW0032 1 \n", - "384367 21FLPNS_WQX-G5NW0035 0.7 \n", - "384380 21FLPNS_WQX-G5NW0007 0.9 \n", - "384381 21FLPNS_WQX-G4NW0035 1.2 \n", - "384383 21FLPNS_WQX-G4NW0508 1.4 \n", + "397900 21AWIC-9630 2.65 \n", + "397938 21AWIC-9631 1.33 \n", + "397950 21AWIC-9768 .87 \n", + "397967 21AWIC-1063 1.14 \n", + "398002 21AWIC-8594 2.12 \n", "\n", " ResultMeasure/MeasureUnitCode QA_flag Units Secchi \n", - "48 m NaN m 0.6 meter \n", - "55 m NaN m 0.3 meter \n", - "59 m NaN m 1.5 meter \n", - "100 m NaN m 0.94 meter \n", - "119 m NaN m 0.49 meter \n", + "53 m NaN m 0.6 meter \n", + "60 m NaN m 0.3 meter \n", + "64 m NaN m 1.5 meter \n", + "107 m NaN m 0.94 meter \n", + "130 m NaN m 1.25 meter \n", "... ... ... ... ... \n", - "384356 m NaN m 1.0 meter \n", - "384367 m NaN m 0.7 meter \n", - "384380 m NaN m 0.9 meter \n", - "384381 m NaN m 1.2 meter \n", - "384383 m NaN m 1.4 meter \n", + "397900 m NaN m 2.65 meter \n", + "397938 m NaN m 1.33 meter \n", + "397950 m NaN m 0.87 meter \n", + "397967 m NaN m 1.14 meter \n", + "398002 m NaN m 2.12 meter \n", "\n", - "[13044 rows x 6 columns]" + "[13398 rows x 6 columns]" ] }, "execution_count": 26, @@ -1596,7 +1694,14 @@ { "cell_type": "code", "execution_count": 27, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:41:55.176731Z", + "iopub.status.busy": "2024-08-16T20:41:55.176189Z", + "iopub.status.idle": "2024-08-16T20:41:55.193604Z", + "shell.execute_reply": "2024-08-16T20:41:55.193027Z" + } + }, "outputs": [ { "data": { @@ -1629,7 +1734,7 @@ " \n", " \n", " \n", - " 156045\n", + " 163289\n", " 21FLCBA_WQX-OKA-CB-BASS-1\n", " Not Reported\n", " NaN\n", @@ -1638,7 +1743,7 @@ " NaN\n", " \n", " \n", - " 156091\n", + " 163336\n", " 21FLKWAT_WQX-OKA-CBA-GAP-3-1\n", " Not Reported\n", " NaN\n", @@ -1647,7 +1752,7 @@ " NaN\n", " \n", " \n", - " 156419\n", + " 163687\n", " 21FLCBA_WQX-OKA-CBA-GAP-3-1\n", " Not Reported\n", " NaN\n", @@ -1656,7 +1761,7 @@ " NaN\n", " \n", " \n", - " 156508\n", + " 163780\n", " 21FLCBA_WQX-OKA-CB-BASS-1\n", " Not Reported\n", " NaN\n", @@ -1665,7 +1770,7 @@ " NaN\n", " \n", " \n", - " 157476\n", + " 164795\n", " 21FLKWAT_WQX-OKA-CB-BASS-1\n", " Not Reported\n", " NaN\n", @@ -1683,8 +1788,8 @@ " ...\n", " \n", " \n", - " 383359\n", - " 21FLCBA_WQX-OKA-CBA-GAP-1-1\n", + " 394973\n", + " 21FLKWAT_WQX-SAN-SKI WATCH-1\n", " Not Reported\n", " NaN\n", " ResultMeasureValue: \"Not Reported\" result cann...\n", @@ -1692,8 +1797,8 @@ " NaN\n", " \n", " \n", - " 383497\n", - " 21FLCBA_WQX-OKA-CB-BASS-2\n", + " 395025\n", + " 21FLCBA_WQX-OKA-CBA-GAP-1-1\n", " Not Reported\n", " NaN\n", " ResultMeasureValue: \"Not Reported\" result cann...\n", @@ -1701,8 +1806,8 @@ " NaN\n", " \n", " \n", - " 383628\n", - " 21FLCBA_WQX-OKA-CBA-GAP-1-1\n", + " 395292\n", + " 21FLCBA_WQX-OKA-CB-BASS-2\n", " Not Reported\n", " NaN\n", " ResultMeasureValue: \"Not Reported\" result cann...\n", @@ -1710,8 +1815,8 @@ " NaN\n", " \n", " \n", - " 383862\n", - " 21FLCBA_WQX-OKA-CB-BASS-2\n", + " 395295\n", + " 21FLCBA_WQX-OKA-CBA-GAP-3-1\n", " Not Reported\n", " NaN\n", " ResultMeasureValue: \"Not Reported\" result cann...\n", @@ -1719,8 +1824,8 @@ " NaN\n", " \n", " \n", - " 383865\n", - " 21FLCBA_WQX-OKA-CBA-GAP-3-1\n", + " 395477\n", + " 21FLKWAT_WQX-SAN-SKI WATCH-5\n", " Not Reported\n", " NaN\n", " ResultMeasureValue: \"Not Reported\" result cann...\n", @@ -1729,50 +1834,50 @@ " \n", " \n", "\n", - "

66 rows × 6 columns

\n", + "

75 rows × 6 columns

\n", "" ], "text/plain": [ " MonitoringLocationIdentifier ResultMeasureValue \\\n", - "156045 21FLCBA_WQX-OKA-CB-BASS-1 Not Reported \n", - "156091 21FLKWAT_WQX-OKA-CBA-GAP-3-1 Not Reported \n", - "156419 21FLCBA_WQX-OKA-CBA-GAP-3-1 Not Reported \n", - "156508 21FLCBA_WQX-OKA-CB-BASS-1 Not Reported \n", - "157476 21FLKWAT_WQX-OKA-CB-BASS-1 Not Reported \n", + "163289 21FLCBA_WQX-OKA-CB-BASS-1 Not Reported \n", + "163336 21FLKWAT_WQX-OKA-CBA-GAP-3-1 Not Reported \n", + "163687 21FLCBA_WQX-OKA-CBA-GAP-3-1 Not Reported \n", + "163780 21FLCBA_WQX-OKA-CB-BASS-1 Not Reported \n", + "164795 21FLKWAT_WQX-OKA-CB-BASS-1 Not Reported \n", "... ... ... \n", - "383359 21FLCBA_WQX-OKA-CBA-GAP-1-1 Not Reported \n", - "383497 21FLCBA_WQX-OKA-CB-BASS-2 Not Reported \n", - "383628 21FLCBA_WQX-OKA-CBA-GAP-1-1 Not Reported \n", - "383862 21FLCBA_WQX-OKA-CB-BASS-2 Not Reported \n", - "383865 21FLCBA_WQX-OKA-CBA-GAP-3-1 Not Reported \n", + "394973 21FLKWAT_WQX-SAN-SKI WATCH-1 Not Reported \n", + "395025 21FLCBA_WQX-OKA-CBA-GAP-1-1 Not Reported \n", + "395292 21FLCBA_WQX-OKA-CB-BASS-2 Not Reported \n", + "395295 21FLCBA_WQX-OKA-CBA-GAP-3-1 Not Reported \n", + "395477 21FLKWAT_WQX-SAN-SKI WATCH-5 Not Reported \n", "\n", " ResultMeasure/MeasureUnitCode \\\n", - "156045 NaN \n", - "156091 NaN \n", - "156419 NaN \n", - "156508 NaN \n", - "157476 NaN \n", + "163289 NaN \n", + "163336 NaN \n", + "163687 NaN \n", + "163780 NaN \n", + "164795 NaN \n", "... ... \n", - "383359 NaN \n", - "383497 NaN \n", - "383628 NaN \n", - "383862 NaN \n", - "383865 NaN \n", + "394973 NaN \n", + "395025 NaN \n", + "395292 NaN \n", + "395295 NaN \n", + "395477 NaN \n", "\n", " QA_flag Units Secchi \n", - "156045 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", - "156091 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", - "156419 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", - "156508 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", - "157476 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "163289 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "163336 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "163687 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "163780 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "164795 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", "... ... ... ... \n", - "383359 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", - "383497 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", - "383628 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", - "383862 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", - "383865 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "394973 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "395025 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "395292 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "395295 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "395477 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", "\n", - "[66 rows x 6 columns]" + "[75 rows x 6 columns]" ] }, "execution_count": 27, @@ -1788,7 +1893,14 @@ { "cell_type": "code", "execution_count": 28, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:41:55.195785Z", + "iopub.status.busy": "2024-08-16T20:41:55.195451Z", + "iopub.status.idle": "2024-08-16T20:41:55.208740Z", + "shell.execute_reply": "2024-08-16T20:41:55.208177Z" + } + }, "outputs": [ { "data": { @@ -1809,7 +1921,14 @@ { "cell_type": "code", "execution_count": 29, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:41:55.211048Z", + "iopub.status.busy": "2024-08-16T20:41:55.210629Z", + "iopub.status.idle": "2024-08-16T20:41:55.227689Z", + "shell.execute_reply": "2024-08-16T20:41:55.227118Z" + } + }, "outputs": [ { "data": { @@ -1842,7 +1961,7 @@ " \n", " \n", " \n", - " 156045\n", + " 163289\n", " 21FLCBA_WQX-OKA-CB-BASS-1\n", " Not Reported\n", " NaN\n", @@ -1851,7 +1970,7 @@ " NaN\n", " \n", " \n", - " 156091\n", + " 163336\n", " 21FLKWAT_WQX-OKA-CBA-GAP-3-1\n", " Not Reported\n", " NaN\n", @@ -1860,7 +1979,7 @@ " NaN\n", " \n", " \n", - " 156419\n", + " 163687\n", " 21FLCBA_WQX-OKA-CBA-GAP-3-1\n", " Not Reported\n", " NaN\n", @@ -1869,7 +1988,7 @@ " NaN\n", " \n", " \n", - " 156508\n", + " 163780\n", " 21FLCBA_WQX-OKA-CB-BASS-1\n", " Not Reported\n", " NaN\n", @@ -1878,7 +1997,7 @@ " NaN\n", " \n", " \n", - " 157476\n", + " 164795\n", " 21FLKWAT_WQX-OKA-CB-BASS-1\n", " Not Reported\n", " NaN\n", @@ -1896,8 +2015,8 @@ " ...\n", " \n", " \n", - " 383359\n", - " 21FLCBA_WQX-OKA-CBA-GAP-1-1\n", + " 394973\n", + " 21FLKWAT_WQX-SAN-SKI WATCH-1\n", " Not Reported\n", " NaN\n", " ResultMeasureValue: \"Not Reported\" result cann...\n", @@ -1905,8 +2024,8 @@ " NaN\n", " \n", " \n", - " 383497\n", - " 21FLCBA_WQX-OKA-CB-BASS-2\n", + " 395025\n", + " 21FLCBA_WQX-OKA-CBA-GAP-1-1\n", " Not Reported\n", " NaN\n", " ResultMeasureValue: \"Not Reported\" result cann...\n", @@ -1914,8 +2033,8 @@ " NaN\n", " \n", " \n", - " 383628\n", - " 21FLCBA_WQX-OKA-CBA-GAP-1-1\n", + " 395292\n", + " 21FLCBA_WQX-OKA-CB-BASS-2\n", " Not Reported\n", " NaN\n", " ResultMeasureValue: \"Not Reported\" result cann...\n", @@ -1923,8 +2042,8 @@ " NaN\n", " \n", " \n", - " 383862\n", - " 21FLCBA_WQX-OKA-CB-BASS-2\n", + " 395295\n", + " 21FLCBA_WQX-OKA-CBA-GAP-3-1\n", " Not Reported\n", " NaN\n", " ResultMeasureValue: \"Not Reported\" result cann...\n", @@ -1932,8 +2051,8 @@ " NaN\n", " \n", " \n", - " 383865\n", - " 21FLCBA_WQX-OKA-CBA-GAP-3-1\n", + " 395477\n", + " 21FLKWAT_WQX-SAN-SKI WATCH-5\n", " Not Reported\n", " NaN\n", " ResultMeasureValue: \"Not Reported\" result cann...\n", @@ -1942,50 +2061,50 @@ " \n", " \n", "\n", - "

66 rows × 6 columns

\n", + "

75 rows × 6 columns

\n", "" ], "text/plain": [ " MonitoringLocationIdentifier ResultMeasureValue \\\n", - "156045 21FLCBA_WQX-OKA-CB-BASS-1 Not Reported \n", - "156091 21FLKWAT_WQX-OKA-CBA-GAP-3-1 Not Reported \n", - "156419 21FLCBA_WQX-OKA-CBA-GAP-3-1 Not Reported \n", - "156508 21FLCBA_WQX-OKA-CB-BASS-1 Not Reported \n", - "157476 21FLKWAT_WQX-OKA-CB-BASS-1 Not Reported \n", + "163289 21FLCBA_WQX-OKA-CB-BASS-1 Not Reported \n", + "163336 21FLKWAT_WQX-OKA-CBA-GAP-3-1 Not Reported \n", + "163687 21FLCBA_WQX-OKA-CBA-GAP-3-1 Not Reported \n", + "163780 21FLCBA_WQX-OKA-CB-BASS-1 Not Reported \n", + "164795 21FLKWAT_WQX-OKA-CB-BASS-1 Not Reported \n", "... ... ... \n", - "383359 21FLCBA_WQX-OKA-CBA-GAP-1-1 Not Reported \n", - "383497 21FLCBA_WQX-OKA-CB-BASS-2 Not Reported \n", - "383628 21FLCBA_WQX-OKA-CBA-GAP-1-1 Not Reported \n", - "383862 21FLCBA_WQX-OKA-CB-BASS-2 Not Reported \n", - "383865 21FLCBA_WQX-OKA-CBA-GAP-3-1 Not Reported \n", + "394973 21FLKWAT_WQX-SAN-SKI WATCH-1 Not Reported \n", + "395025 21FLCBA_WQX-OKA-CBA-GAP-1-1 Not Reported \n", + "395292 21FLCBA_WQX-OKA-CB-BASS-2 Not Reported \n", + "395295 21FLCBA_WQX-OKA-CBA-GAP-3-1 Not Reported \n", + "395477 21FLKWAT_WQX-SAN-SKI WATCH-5 Not Reported \n", "\n", " ResultMeasure/MeasureUnitCode \\\n", - "156045 NaN \n", - "156091 NaN \n", - "156419 NaN \n", - "156508 NaN \n", - "157476 NaN \n", + "163289 NaN \n", + "163336 NaN \n", + "163687 NaN \n", + "163780 NaN \n", + "164795 NaN \n", "... ... \n", - "383359 NaN \n", - "383497 NaN \n", - "383628 NaN \n", - "383862 NaN \n", - "383865 NaN \n", + "394973 NaN \n", + "395025 NaN \n", + "395292 NaN \n", + "395295 NaN \n", + "395477 NaN \n", "\n", " QA_flag Units Secchi \n", - "156045 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", - "156091 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", - "156419 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", - "156508 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", - "157476 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "163289 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "163336 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "163687 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "163780 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "164795 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", "... ... ... ... \n", - "383359 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", - "383497 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", - "383628 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", - "383862 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", - "383865 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "394973 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "395025 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "395292 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "395295 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "395477 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", "\n", - "[66 rows x 6 columns]" + "[75 rows x 6 columns]" ] }, "execution_count": 29, @@ -2008,7 +2127,14 @@ { "cell_type": "code", "execution_count": 30, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:41:55.229997Z", + "iopub.status.busy": "2024-08-16T20:41:55.229521Z", + "iopub.status.idle": "2024-08-16T20:41:55.248084Z", + "shell.execute_reply": "2024-08-16T20:41:55.247517Z" + } + }, "outputs": [ { "data": { @@ -2058,14 +2184,14 @@ " \n", " 3\n", " 21AWIC-1063\n", - " 116\n", - " 0.767931\n", + " 118\n", + " 0.773729\n", " \n", " \n", " 4\n", " 21AWIC-1122\n", - " 56\n", - " 2.790786\n", + " 58\n", + " 2.859034\n", " \n", " \n", " ...\n", @@ -2074,38 +2200,38 @@ " ...\n", " \n", " \n", - " 903\n", + " 910\n", " NARS_WQX-NCCA10-1432\n", " 1\n", " 1.075000\n", " \n", " \n", - " 904\n", + " 911\n", " NARS_WQX-NCCA10-1433\n", " 1\n", " 1.423333\n", " \n", " \n", - " 905\n", + " 912\n", " NARS_WQX-NCCA10-1434\n", " 1\n", " 2.400000\n", " \n", " \n", - " 906\n", + " 913\n", " NARS_WQX-NCCA10-1488\n", " 1\n", " 0.736667\n", " \n", " \n", - " 907\n", + " 914\n", " NARS_WQX-NCCA10-2432\n", " 1\n", " 1.600000\n", " \n", " \n", "\n", - "

908 rows × 3 columns

\n", + "

915 rows × 3 columns

\n", "" ], "text/plain": [ @@ -2113,16 +2239,16 @@ "0 11NPSWRD_WQX-GUIS_CMP_PKT01 12 2.333333\n", "1 11NPSWRD_WQX-GUIS_CMP_PKT02 17 2.411765\n", "2 11NPSWRD_WQX-GUIS_CMP_PKT03 3 2.333333\n", - "3 21AWIC-1063 116 0.767931\n", - "4 21AWIC-1122 56 2.790786\n", + "3 21AWIC-1063 118 0.773729\n", + "4 21AWIC-1122 58 2.859034\n", ".. ... ... ...\n", - "903 NARS_WQX-NCCA10-1432 1 1.075000\n", - "904 NARS_WQX-NCCA10-1433 1 1.423333\n", - "905 NARS_WQX-NCCA10-1434 1 2.400000\n", - "906 NARS_WQX-NCCA10-1488 1 0.736667\n", - "907 NARS_WQX-NCCA10-2432 1 1.600000\n", + "910 NARS_WQX-NCCA10-1432 1 1.075000\n", + "911 NARS_WQX-NCCA10-1433 1 1.423333\n", + "912 NARS_WQX-NCCA10-1434 1 2.400000\n", + "913 NARS_WQX-NCCA10-1488 1 0.736667\n", + "914 NARS_WQX-NCCA10-2432 1 1.600000\n", "\n", - "[908 rows x 3 columns]" + "[915 rows x 3 columns]" ] }, "execution_count": 30, @@ -2138,7 +2264,14 @@ { "cell_type": "code", "execution_count": 31, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:41:55.250237Z", + "iopub.status.busy": "2024-08-16T20:41:55.249906Z", + "iopub.status.idle": "2024-08-16T20:41:55.436602Z", + "shell.execute_reply": "2024-08-16T20:41:55.436030Z" + } + }, "outputs": [ { "data": { @@ -2152,7 +2285,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -2170,7 +2303,14 @@ { "cell_type": "code", "execution_count": 32, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:41:55.439102Z", + "iopub.status.busy": "2024-08-16T20:41:55.438739Z", + "iopub.status.idle": "2024-08-16T20:41:55.698886Z", + "shell.execute_reply": "2024-08-16T20:41:55.698292Z" + } + }, "outputs": [ { "data": { @@ -2184,7 +2324,7 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -2216,38 +2356,37 @@ { "cell_type": "code", "execution_count": 33, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:41:55.701646Z", + "iopub.status.busy": "2024-08-16T20:41:55.701246Z", + "iopub.status.idle": "2024-08-16T20:41:58.061148Z", + "shell.execute_reply": "2024-08-16T20:41:58.060639Z" + } + }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ "-Usable results-\n", - "count 74485.000000\n", - "mean 21.884964\n", - "std 10.684321\n", + "count 80157.000000\n", + "mean 21.920841\n", + "std 10.423527\n", "min -12.944444\n", - "25% 16.920000\n", - "50% 22.190000\n", - "75% 27.100000\n", + "25% 17.000000\n", + "50% 22.200000\n", + "75% 27.110000\n", "max 1876.000000\n", "dtype: float64\n", "Unusable results: 2\n", "Usable results with inferred units: 10\n", - "Results outside threshold (0.0 to 85.99088705900843): 6\n" + "Results outside threshold (0.0 to 84.46200283389483): 6\n" ] }, { "data": { - "image/png": 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", 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", 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" ] @@ -2265,7 +2404,14 @@ { "cell_type": "code", "execution_count": 34, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:41:58.063626Z", + "iopub.status.busy": "2024-08-16T20:41:58.063249Z", + "iopub.status.idle": "2024-08-16T20:41:58.155701Z", + "shell.execute_reply": "2024-08-16T20:41:58.155157Z" + } + }, "outputs": [ { "data": { @@ -2307,7 +2453,7 @@ " degF\n", " \n", " \n", - " 21\n", + " 23\n", " 21FLPNS_WQX-33030019\n", " 23.12\n", " deg C\n", @@ -2316,7 +2462,7 @@ " degC\n", " \n", " \n", - " 33\n", + " 36\n", " 21FLPNS_WQX-330300G9\n", " 16.43\n", " deg C\n", @@ -2325,7 +2471,7 @@ " degC\n", " \n", " \n", - " 34\n", + " 38\n", " 21FLPNS_WQX-33010H24\n", " 29.78\n", " deg C\n", @@ -2334,7 +2480,7 @@ " degC\n", " \n", " \n", - " 36\n", + " 40\n", " 21FLPNS_WQX-33010G10\n", " 26.72\n", " deg C\n", @@ -2352,96 +2498,96 @@ " ...\n", " \n", " \n", - " 384395\n", - " 21FLPNS_WQX-G5NW0007\n", - " 26.8\n", + " 397989\n", + " 21AWIC-9630\n", + " 17.8525\n", " deg C\n", " NaN\n", - " 26.8 degree_Celsius\n", + " 17.8525 degree_Celsius\n", " degC\n", " \n", " \n", - " 384408\n", - " 21FLPNS_WQX-G5NW0007\n", - " 27.5\n", + " 397993\n", + " 21AWIC-1208\n", + " 19.3164\n", " deg C\n", " NaN\n", - " 27.5 degree_Celsius\n", + " 19.3164 degree_Celsius\n", " degC\n", " \n", " \n", - " 384409\n", - " 21FLPNS_WQX-G5NW0035\n", - " 27.8\n", + " 398012\n", + " 21AWIC-9630\n", + " 17.6693\n", " deg C\n", " NaN\n", - " 27.8 degree_Celsius\n", + " 17.6693 degree_Celsius\n", " degC\n", " \n", " \n", - " 384418\n", - " 21FLPNS_WQX-G4NW0508\n", - " 24.5\n", + " 398013\n", + " 21AWIC-1152\n", + " 18.08\n", " deg C\n", " NaN\n", - " 24.5 degree_Celsius\n", + " 18.08 degree_Celsius\n", " degC\n", " \n", " \n", - " 384419\n", - " 21AWIC-1152\n", - " 19.94\n", + " 398014\n", + " 21AWIC-9769\n", + " 16.5857\n", " deg C\n", " NaN\n", - " 19.94 degree_Celsius\n", + " 16.5857 degree_Celsius\n", " degC\n", " \n", " \n", "\n", - "

74487 rows × 6 columns

\n", + "

80159 rows × 6 columns

\n", "" ], "text/plain": [ " MonitoringLocationIdentifier ResultMeasureValue \\\n", "2 21FLCBA_WQX-BAS02 78.9 \n", - "21 21FLPNS_WQX-33030019 23.12 \n", - "33 21FLPNS_WQX-330300G9 16.43 \n", - "34 21FLPNS_WQX-33010H24 29.78 \n", - "36 21FLPNS_WQX-33010G10 26.72 \n", + "23 21FLPNS_WQX-33030019 23.12 \n", + "36 21FLPNS_WQX-330300G9 16.43 \n", + "38 21FLPNS_WQX-33010H24 29.78 \n", + "40 21FLPNS_WQX-33010G10 26.72 \n", "... ... ... \n", - "384395 21FLPNS_WQX-G5NW0007 26.8 \n", - "384408 21FLPNS_WQX-G5NW0007 27.5 \n", - "384409 21FLPNS_WQX-G5NW0035 27.8 \n", - "384418 21FLPNS_WQX-G4NW0508 24.5 \n", - "384419 21AWIC-1152 19.94 \n", + "397989 21AWIC-9630 17.8525 \n", + "397993 21AWIC-1208 19.3164 \n", + "398012 21AWIC-9630 17.6693 \n", + "398013 21AWIC-1152 18.08 \n", + "398014 21AWIC-9769 16.5857 \n", "\n", " ResultMeasure/MeasureUnitCode QA_flag Temperature \\\n", "2 deg F NaN 26.0555555555556 degree_Celsius \n", - "21 deg C NaN 23.12 degree_Celsius \n", - "33 deg C NaN 16.43 degree_Celsius \n", - "34 deg C NaN 29.78 degree_Celsius \n", - "36 deg C NaN 26.72 degree_Celsius \n", + "23 deg C NaN 23.12 degree_Celsius \n", + "36 deg C NaN 16.43 degree_Celsius \n", + "38 deg C NaN 29.78 degree_Celsius \n", + "40 deg C NaN 26.72 degree_Celsius \n", "... ... ... ... \n", - "384395 deg C NaN 26.8 degree_Celsius \n", - "384408 deg C NaN 27.5 degree_Celsius \n", - "384409 deg C NaN 27.8 degree_Celsius \n", - "384418 deg C NaN 24.5 degree_Celsius \n", - "384419 deg C NaN 19.94 degree_Celsius \n", + "397989 deg C NaN 17.8525 degree_Celsius \n", + "397993 deg C NaN 19.3164 degree_Celsius \n", + "398012 deg C NaN 17.6693 degree_Celsius \n", + "398013 deg C NaN 18.08 degree_Celsius \n", + "398014 deg C NaN 16.5857 degree_Celsius \n", "\n", " Units \n", "2 degF \n", - "21 degC \n", - "33 degC \n", - "34 degC \n", + "23 degC \n", "36 degC \n", + "38 degC \n", + "40 degC \n", "... ... \n", - "384395 degC \n", - "384408 degC \n", - "384409 degC \n", - "384418 degC \n", - "384419 degC \n", + "397989 degC \n", + "397993 degC \n", + "398012 degC \n", + "398013 degC \n", + "398014 degC \n", "\n", - "[74487 rows x 6 columns]" + "[80159 rows x 6 columns]" ] }, "execution_count": 34, @@ -2466,7 +2612,14 @@ { "cell_type": "code", "execution_count": 35, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:41:58.158397Z", + "iopub.status.busy": "2024-08-16T20:41:58.157810Z", + "iopub.status.idle": "2024-08-16T20:41:58.177167Z", + "shell.execute_reply": "2024-08-16T20:41:58.176681Z" + } + }, "outputs": [ { "data": { @@ -2499,7 +2652,7 @@ " \n", " \n", " \n", - " 141086\n", + " 147777\n", " NARS_WQX-OWW04440-0401\n", " NaN\n", " NaN\n", @@ -2508,7 +2661,7 @@ " degC\n", " \n", " \n", - " 209453\n", + " 218976\n", " 21FLCBA-FWB05\n", " 79.8\n", " NaN\n", @@ -2517,7 +2670,7 @@ " degC\n", " \n", " \n", - " 209519\n", + " 219042\n", " 21FLCBA-FWB05\n", " 81.7\n", " NaN\n", @@ -2526,7 +2679,7 @@ " degC\n", " \n", " \n", - " 210400\n", + " 219923\n", " 21FLCBA-FWB02\n", " 82.1\n", " NaN\n", @@ -2535,7 +2688,7 @@ " degC\n", " \n", " \n", - " 210401\n", + " 219924\n", " 21FLCBA-FWB02\n", " 82.6\n", " NaN\n", @@ -2544,7 +2697,7 @@ " degC\n", " \n", " \n", - " 210402\n", + " 219925\n", " 21FLCBA-FWB02\n", " 71.8\n", " NaN\n", @@ -2553,7 +2706,7 @@ " degC\n", " \n", " \n", - " 210403\n", + " 219926\n", " 21FLCBA-FWB02\n", " 79.4\n", " NaN\n", @@ -2562,7 +2715,7 @@ " degC\n", " \n", " \n", - " 216083\n", + " 225607\n", " 21FLCBA-RIV02\n", " 74.2\n", " NaN\n", @@ -2571,7 +2724,7 @@ " degC\n", " \n", " \n", - " 216084\n", + " 225608\n", " 21FLCBA-RIV02\n", " 74.2\n", " NaN\n", @@ -2580,7 +2733,7 @@ " degC\n", " \n", " \n", - " 220715\n", + " 230238\n", " 21FLCBA-FWB01\n", " 83.3\n", " NaN\n", @@ -2589,7 +2742,7 @@ " degC\n", " \n", " \n", - " 220799\n", + " 230322\n", " 21FLCBA-FWB01\n", " 71.2\n", " NaN\n", @@ -2603,56 +2756,56 @@ ], "text/plain": [ " MonitoringLocationIdentifier ResultMeasureValue \\\n", - "141086 NARS_WQX-OWW04440-0401 NaN \n", - "209453 21FLCBA-FWB05 79.8 \n", - "209519 21FLCBA-FWB05 81.7 \n", - "210400 21FLCBA-FWB02 82.1 \n", - "210401 21FLCBA-FWB02 82.6 \n", - "210402 21FLCBA-FWB02 71.8 \n", - "210403 21FLCBA-FWB02 79.4 \n", - "216083 21FLCBA-RIV02 74.2 \n", - "216084 21FLCBA-RIV02 74.2 \n", - "220715 21FLCBA-FWB01 83.3 \n", - "220799 21FLCBA-FWB01 71.2 \n", + "147777 NARS_WQX-OWW04440-0401 NaN \n", + "218976 21FLCBA-FWB05 79.8 \n", + "219042 21FLCBA-FWB05 81.7 \n", + "219923 21FLCBA-FWB02 82.1 \n", + "219924 21FLCBA-FWB02 82.6 \n", + "219925 21FLCBA-FWB02 71.8 \n", + "219926 21FLCBA-FWB02 79.4 \n", + "225607 21FLCBA-RIV02 74.2 \n", + "225608 21FLCBA-RIV02 74.2 \n", + "230238 21FLCBA-FWB01 83.3 \n", + "230322 21FLCBA-FWB01 71.2 \n", "\n", " ResultMeasure/MeasureUnitCode \\\n", - "141086 NaN \n", - "209453 NaN \n", - "209519 NaN \n", - "210400 NaN \n", - "210401 NaN \n", - "210402 NaN \n", - "210403 NaN \n", - "216083 NaN \n", - "216084 NaN \n", - "220715 NaN \n", - "220799 NaN \n", + "147777 NaN \n", + "218976 NaN \n", + "219042 NaN \n", + "219923 NaN \n", + "219924 NaN \n", + "219925 NaN \n", + "219926 NaN \n", + "225607 NaN \n", + "225608 NaN \n", + "230238 NaN \n", + "230322 NaN \n", "\n", " QA_flag \\\n", - "141086 ResultMeasureValue: missing (NaN) result; Resu... \n", - "209453 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... \n", - "209519 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... \n", - "210400 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... \n", - "210401 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... \n", - "210402 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... \n", - "210403 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... \n", - "216083 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... \n", - "216084 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... \n", - "220715 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... \n", - "220799 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... \n", + "147777 ResultMeasureValue: missing (NaN) result; Resu... \n", + "218976 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... \n", + "219042 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... \n", + "219923 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... \n", + "219924 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... \n", + "219925 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... \n", + "219926 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... \n", + "225607 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... \n", + "225608 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... \n", + "230238 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... \n", + "230322 ResultMeasure/MeasureUnitCode: MISSING UNITS, ... \n", "\n", " Temperature Units \n", - "141086 NaN degC \n", - "209453 79.8 degree_Celsius degC \n", - "209519 81.7 degree_Celsius degC \n", - "210400 82.1 degree_Celsius degC \n", - "210401 82.6 degree_Celsius degC \n", - "210402 71.8 degree_Celsius degC \n", - "210403 79.4 degree_Celsius degC \n", - "216083 74.2 degree_Celsius degC \n", - "216084 74.2 degree_Celsius degC \n", - "220715 83.3 degree_Celsius degC \n", - "220799 71.2 degree_Celsius degC " + "147777 NaN degC \n", + "218976 79.8 degree_Celsius degC \n", + "219042 81.7 degree_Celsius degC \n", + "219923 82.1 degree_Celsius degC \n", + "219924 82.6 degree_Celsius degC \n", + "219925 71.8 degree_Celsius degC \n", + "219926 79.4 degree_Celsius degC \n", + "225607 74.2 degree_Celsius degC \n", + "225608 74.2 degree_Celsius degC \n", + "230238 83.3 degree_Celsius degC \n", + "230322 71.2 degree_Celsius degC " ] }, "execution_count": 35, @@ -2675,7 +2828,14 @@ { "cell_type": "code", "execution_count": 36, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:41:58.179374Z", + "iopub.status.busy": "2024-08-16T20:41:58.179013Z", + "iopub.status.idle": "2024-08-16T20:41:58.193297Z", + "shell.execute_reply": "2024-08-16T20:41:58.192837Z" + } + }, "outputs": [ { "data": { @@ -2696,7 +2856,14 @@ { "cell_type": "code", "execution_count": 37, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:41:58.195390Z", + "iopub.status.busy": "2024-08-16T20:41:58.195037Z", + "iopub.status.idle": "2024-08-16T20:41:58.214738Z", + "shell.execute_reply": "2024-08-16T20:41:58.214217Z" + } + }, "outputs": [ { "data": { @@ -2729,7 +2896,7 @@ " \n", " \n", " \n", - " 49379\n", + " 47448\n", " 11NPSWRD_WQX-GUIS_NALO\n", " NaN\n", " deg C\n", @@ -2738,7 +2905,7 @@ " degC\n", " \n", " \n", - " 141086\n", + " 147777\n", " NARS_WQX-OWW04440-0401\n", " NaN\n", " NaN\n", @@ -2752,16 +2919,16 @@ ], "text/plain": [ " MonitoringLocationIdentifier ResultMeasureValue \\\n", - "49379 11NPSWRD_WQX-GUIS_NALO NaN \n", - "141086 NARS_WQX-OWW04440-0401 NaN \n", + "47448 11NPSWRD_WQX-GUIS_NALO NaN \n", + "147777 NARS_WQX-OWW04440-0401 NaN \n", "\n", " ResultMeasure/MeasureUnitCode \\\n", - "49379 deg C \n", - "141086 NaN \n", + "47448 deg C \n", + "147777 NaN \n", "\n", " QA_flag Temperature Units \n", - "49379 ResultMeasureValue: missing (NaN) result NaN degC \n", - "141086 ResultMeasureValue: missing (NaN) result; Resu... NaN degC " + "47448 ResultMeasureValue: missing (NaN) result NaN degC \n", + "147777 ResultMeasureValue: missing (NaN) result; Resu... NaN degC " ] }, "execution_count": 37, @@ -2777,7 +2944,14 @@ { "cell_type": "code", "execution_count": 38, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:41:58.216847Z", + "iopub.status.busy": "2024-08-16T20:41:58.216532Z", + "iopub.status.idle": "2024-08-16T20:41:58.273652Z", + "shell.execute_reply": "2024-08-16T20:41:58.273038Z" + } + }, "outputs": [ { "data": { @@ -2843,38 +3017,38 @@ " ...\n", " \n", " \n", - " 2232\n", + " 2325\n", " UWFCEDB_WQX-SRC-AI31-22\n", " 10\n", " 23.020000\n", " \n", " \n", - " 2233\n", + " 2326\n", " UWFCEDB_WQX-SRC-AI36-22\n", " 10\n", " 23.230000\n", " \n", " \n", - " 2234\n", + " 2327\n", " UWFCEDB_WQX-SRC-AI42-22\n", " 10\n", " 22.650000\n", " \n", " \n", - " 2235\n", + " 2328\n", " UWFCEDB_WQX-SRC-AI44-22\n", " 10\n", " 22.890000\n", " \n", " \n", - " 2236\n", + " 2329\n", " UWFCEDB_WQX-SRC-AK41-22\n", " 8\n", " 21.462500\n", " \n", " \n", "\n", - "

2237 rows × 3 columns

\n", + "

2330 rows × 3 columns

\n", "" ], "text/plain": [ @@ -2885,13 +3059,13 @@ "3 11NPSWRD_WQX-GUIS_BOPI 1 32.000000\n", "4 11NPSWRD_WQX-GUIS_CMP_PKT01 20 25.125000\n", "... ... ... ...\n", - "2232 UWFCEDB_WQX-SRC-AI31-22 10 23.020000\n", - "2233 UWFCEDB_WQX-SRC-AI36-22 10 23.230000\n", - "2234 UWFCEDB_WQX-SRC-AI42-22 10 22.650000\n", - "2235 UWFCEDB_WQX-SRC-AI44-22 10 22.890000\n", - "2236 UWFCEDB_WQX-SRC-AK41-22 8 21.462500\n", + "2325 UWFCEDB_WQX-SRC-AI31-22 10 23.020000\n", + "2326 UWFCEDB_WQX-SRC-AI36-22 10 23.230000\n", + "2327 UWFCEDB_WQX-SRC-AI42-22 10 22.650000\n", + "2328 UWFCEDB_WQX-SRC-AI44-22 10 22.890000\n", + "2329 UWFCEDB_WQX-SRC-AK41-22 8 21.462500\n", "\n", - "[2237 rows x 3 columns]" + "[2330 rows x 3 columns]" ] }, "execution_count": 38, @@ -2907,7 +3081,14 @@ { "cell_type": "code", "execution_count": 39, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:41:58.276041Z", + "iopub.status.busy": "2024-08-16T20:41:58.275669Z", + "iopub.status.idle": "2024-08-16T20:41:58.480914Z", + "shell.execute_reply": "2024-08-16T20:41:58.480302Z" + } + }, "outputs": [ { "data": { @@ -2921,7 +3102,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -2939,7 +3120,14 @@ { "cell_type": "code", "execution_count": 40, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:41:58.483257Z", + "iopub.status.busy": "2024-08-16T20:41:58.483055Z", + "iopub.status.idle": "2024-08-16T20:41:58.766016Z", + "shell.execute_reply": "2024-08-16T20:41:58.765389Z" + } + }, "outputs": [ { "data": { @@ -2953,7 +3141,7 @@ }, { "data": { - "image/png": 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", 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7QRQBzCSQjACJCODyOtvI4AGdcOo4JCJA/1vWMEgOsQF07juAE9edDsPtguHKPG+GYeiJnonR4/YcEc1G4wow7rnnHqxZs8bJJtbW1oZHH33UeTwSieD6669HY2MjamtrsXHjRnR0dBTd7xtvvIE/+7M/QzgcRjAYxNlnn40DBw6M/2iIpohy+4H65UBgHkREX2STUf2tPRnTtTWUAbg8gNsPJQL07oMUTCtepWL9uteigPD8MBacsWJMcGFThgEFEzi2S9csITpOlLPYWbUZV4CxcOFCfOc738HOnTvx4osv4oILLsCll16K1157DQBw00034be//S0efvhhbN26FUeOHMEVV1xRcJ9vv/02zjvvPKxYsQJPPfUU/vSnP+G2224r+3pconJTLi9UcAEQH9bLVJNR3YuRq2vT44MMHQIOPQUZ7QZgFUrrexPmgT/A3P87mO89Dundq+cyVJP4EPTqj/z8dcGi20BEV6Pt3AHpexPHwQp6IihlOBM9J3wrqRjgzDPpPBgNDQ34p3/6J1x55ZWYN28eHnroIVx55ZUAgD179mDlypXYtm0b1q1bl/P5V199NTweD372s59NuA3Mg0HTyezcBRXrtXotClxEExGIOwgFBZmzAjj2su7xyOYKQC04D6qEyaQzgQwdBkaOFt8wPoziBc2SqW0aVkEFWyfbPKIxpjIPxjuf+iDqvJPMgxFL4KR/f6bqrnETDouSySR++ctfYnh4GG1tbdi5cyfi8XhGjfkVK1Zg8eLFeWvMm6aJ3//+9zjllFOwYcMGNDU14ZxzzsFvfvObgq8djUYxMDCQcSOaLqp+mU5zXSi4EAEMN1RsQAci/W/nL+6VjEA6X6pMYyvBW/wDb+hYL3oPHIGYBeZYZH/XGXiPvRhU9exiZ5O9VaNxBxi7d+9GbW0tfD4fvvjFL+KRRx7BqlWr0N7eDq/Xi/r6+oztC9WY7+zsxNDQEL7zne/g4osvxv/7f/8Pl19+Oa644gps3bo1bxs2b96McDjs3BYtWjTewyAqH0/NOD4ABDBjer6BK98woACRbkhsMM/jM4yntujS3ZERFx6//V4ow8gdZLhrgMBcoHY+EJxvLW2Nc+kqVT9DledWhcYdYCxfvhy7du3C9u3b8aUvfQnXXnstXn/99eJPzMGu7nbppZfipptuwhlnnIFbbrkFH//4x3Hvvffmfd6tt96K/v5+53bw4MEJvT5ROSilAHeBZFrK0BfhmmYgvAQINEJcXsBXV3jH0b6ytrNSlFJAeKlO7Z2Lfy6azjofreddgv/zldsRGdTDQk7vhC+sa7rY48xK6Uyo/kY9gZSIqtK4B4a8Xi+WLl0KAFi7di127NiBH/zgB7jqqqsQi8XQ19eX0YvR0dHh1J/PNnfuXLjdbqxatSrj/pUrV+LZZ5/N2wafzwefzzfephNVTu0CoG/f2PuVC/DPAZA+hKJ0enGXFxjtAvItzczqFZFEBBg9Zq3YUIAvDOWr16tYhtv10lhfLVSgaconhSmXD9K4WifZyki0NQ/w1EIphQ/ecguO7roYf/yXe7H41Bac9mcf1IGZ4R07vKSsjJ+RYxBvvc6USlSNypDJE7M1k6dpmohGo1i7di08Hg+eeOIJbNy4EQCwd+9eHDhwIG+Nea/Xi7PPPht792YmIdq3bx9OOOGEyTaNaOoEmoFIr74giqSGTLxhZAYXSPt/l74Aj+Rayq0A/1znJxk6ApUccfYtYgKRHpiDB3Rl12Q0ta07AJm7Bkbd1A4dKmUdT2Be3m3mn3EGPn7Pvbr9R54BPDWFdqiDjJEjOu8IURUqxxyKap2DMa4A49Zbb8Ull1yCxYsXY3BwEA899BCeeuopbNmyBeFwGJs2bcLNN9+MhoYGhEIhfPnLX0ZbW1vGCpIVK1Zg8+bNuPzyywEAX/va13DVVVfhQx/6EM4//3w89thj+O1vf4unnnqqrAdKVElKWStDekxgtBMCA8rw6DwYhZ7jC+leiexejNqFOtcGABnphEqOpJ5jJoD4iM6eOZJjflNiFGh/ASYMGHULynaM5aSUAWlcA4yWsPokMZIZtBFRVRhXgNHZ2YnPfvazOHr0KMLhMNasWYMtW7bgox/9KADgjjvugGEY2LhxI6LRKDZs2IC77747Yx979+5Ff39qXPXyyy/Hvffei82bN+MrX/kKli9fjl//+tc477zzynB4RFNHKQU0rgb6fJD+twCvO5UXI+9zDIi7Ji2XhAD+uVBzT0ttFOmGGG4AAhk6ontKJJVqOzcBunZBaltn7oXZV19agCEmdGpxphKn6jOba5FMOg/GTMA8GDTTSDIB6d4F5aktXkdgtBtiJgF3AKpuMRCY5wQFkogCQzqrrfS/Y+WSgLWkM9efrv1a1mNzT4cxZ9mkj6dSpG+fXilSZImvBBfB8PFvm8pjKvNgvHfteoQmmQdjIJbACQ/8oequcaymSlQByuWGBBcB8b7CG4oJScb0/IWm942dnGnG9bBItD8VXOR8QQNAWuZQOwDp3g2zdy/QfBaMYO7J1tPKN0dXYM3V02N/9zHjUL2vw4QCTIHRmjtpH9FMpKsGTLYHo0yNmWJV2myimc8INkPiI/mTRYkA8WGrt8LUK0qyuX2QRAQy0gXdO6HGZgxVLmQEF4D1/9bNjAPtz8McPVauQysf/1xAWd9zRFK3dIlRnTvEjEIZgHn4ualvJxGNGwMMokqqX55a4WFfOO1/E6NOr4SIQIbG5nNRhgciSSA5at2RWuqa8W+uIYb0eigiQOfLkz+eMlNKAaElgMqaDGuaVgA2lJlsy4xBub3M8EnVQ5XpVoUYYBBVkOGpAdy1emJmMmJVXB0FRruBWCrFvVIKKtoLs/2FsZkuDZ+9EdKeAKc3oxRKAYkRmENHJndAFaBcXqB+GRBcqOecJKM6oIr2ZSy/dSQjkCP58+QQzSjZxQ8neqtCDDCIKkz56vVQSaRPBxqxgTEpsEVEpwaPDQC9r2XuINdSVCAz82Wpel6DHHwSEplhGTJj/ZCOHbo+S3xIB2HIV7dEADcT7RHNdAwwiCrN36AzWwJju/aVARgenfOipgUw3JDRLkgymdomEcm93/RvNvn+Hfsk3ZZjL0KiM6NIoMSHIYeftZbqlvqkyrWHqJxmcQcGV5EQVZrOj3EqpPu1zJTXhhvpMb5SCuLS38zl0JMQfz0QjQFuvx5eKf5Cmf+OedyVyokheoUJWs8d/wGVmfS96QRgiEcAT56aJulMRhhUJcpRrKxK82CwB4NoKnjDuvPA/lm54KQQTwsInADAUwMMHwPcBmAmCu87b0CRdb/Ll/lYMgJJxDI2kUQE5kgHzOGjkNhgxSdTiggweBDOmUkMWeemAFcAquWsiraLiCaPPRhEUyHaDaTXJMh3ERWBMuO6oJnHAySHIAo6OEjGMGZsoFjfqbKiGncAysjxmv1vQTxBwB2EdO8GkqOpVF1i6iGc+lOA8MkVyggqqd4L+56RfqiaUO4icIYHIh4YuY6FaAYqxxAHh0iIKD8RQFSqpkauTwwRvWpCMnssFABxefTFPjE6/tdWLkCSEFMyh0kAYPBdAKLDFifXVdoSWBFIz+t68um8M8seZChlQAyvVSHWFoMMHQNqm3VLxASUC6IMwDsfRsPisraBqLLKMYmiOiMMBhhEU8FKGV7wAi3JMcGFTQGA4YJ465DqxVC5J0aOGdZIAMmks7RV3D4oGNCrNCS1/6ym6aqtOijB0EGgdiFQ01T4OCcidCLQ9yYyemcMBYx06nuUAbXgQzB89eV/bSKqGM7BIJoKvjlQLj/ETOqLtphjA4Gspau5KOi8EfrmGTvUknfOhJ0hU4BERA9/5J3bkdpHqtS0ggy+W7R9E6HqlwLuGuT9lhZaAsXggqqVUaZbFarSZhNVF3sliTLs4YrE2G7TkiZUCuDyW3MRTGRclIs+Py0Nt5lAqWs99URPBcTGsYx0HJTLC7Xgg0CwFRnHY3ihGldDNZ5akdclmgp2kD7ZWzXiEAnRFFHeOkjT2VBDB4GRdl3kzPAUf2LmXqzAxKUDDQxDf0/IV101D0kUX62RbdxtLZ1y+6FaztaZPOMDum2++rHF34iqzSye5ckAg2gKKXdAr8qoPwVIJiEd262LvQEYLqjsNOHZXFaOCKUAGHo5a3wYekJmkecC0EHIRD6sTKjahRN4Xq4mmNZkVQEMb+qYACi3D3DPK8/rENG0YoBBNE2UywXV+gFIpA/S9RqQjEEM3RuROwRQGRdjAIA7ULiM+yTp4RETcAWAukkGGCJAtMeqwZLW2+LyAf55Y4+N6DgwizswGGAQTTflr4daqDNqmgefBzACwMzsa1CGngiZNmSglIKMexrV2GyfetKpnYvCsF7DDgBMQLmBlnV6qWgyptsVG9Tb+MIlDfNIfATo3g2J9unVNL56iG8OlBnTAUekG6g7CcpbO87jIZrhZnEmTwYYRDOIsWidvogfexlIRiFKQRluPSchZ+6MtGERK99FaawlqGbcSuCV+RgMj+5Z8M0BXEHg8FZIYgR2gOL0sSgXJLwEau5pup05SP9+XcgsrddCkjHATEA8QSgo3YbuVyD+BqD+FKjxzg8hohmHM6iIZhjl8sJoOUcvSXX7dc2SHMGFiGQWQlPFyrcrwNA9FEopqyx6dnABAFbgARMY6QD69+kqp+kJuJxNk0DfW5BDz1irWrL2NHoM0vECMoZEAvOgQicAnlo9iVMZei6Gpw6I9gO9ewocA1GVUWW6VSEGGEQzlvXNPtfyUzuXRmIk6ylGqvfB5dcXbuXSN8MFZQUXhfNgAE5AEJhrFWWz2pPvky7SBQy8N3YvPXsyn+MJQtXoSZwZS+/s/3fXAJFeyGh3gbYRVY/ZvEyVAQbRTFXTDMQGrfTh1gU/LY+FivaNXTmi7OEUq5fCcOk8E4Yn80MqWTypF+IjOs4IzEVqKWx+0v9O5s8iwPDRzOf5G/IXULPb5/IC3X/SS1aJqGoxwCCaqcIn6WAhPgxE+nSiq9gQMNoDRHsBSWZ9y3HpPgalxg5mKAUoezKmu8ScFgIgqffiKZBp0zZmNUuO3BzumsLfxpTSPSZiAgPv5N+OqFpwiISIZhplWKs3DA8AE5KMQnIUQ0t7QpH1bFZdEV9tkbkaGTsFYAKeoA4y3AHk/bTLWmaqlKHL1Ge3oRARKy4xgcGDFS8XT1RpylBluVUjriKhSRMzAQy3A6Md1uRAA/CFgdqFUJ7gdDevqilvHWTB+cDIEaihI5Bon3XRzc6VoSufFl0w7wrobbzB3IXS0rkDTm+DKMMKLqCfmxgFYpk9Fip04tj2zznFWkFiiQ1BfOHCvRhmPJXKXJJ62IeIqg7/cmlS7PwGmd+qk3rSX7QXUncCVHD+tLXveKAMQ1cyrV2oS7cffhqID05wZwBEoFxeiLtm7CTR9A09NWk/CWC4UgXTPDX6f+0som6/HtLJFjpRB59DB/XPkR7AF06VrU9n91bEhvRrKGP86cyJZppyDHFUZwcGh0ho4kRMoOe1/F32kgSGDkCGj05tw453LefqVSIZSui9ADLzaQQadBn5bIYHCDRk5bVIH6qweks8AR0E+OdALTofKkcmTqUMqPnrgJr5em5FMgIMHdF7TJ+4av9/pBcwo/o1ahdW7ex5IoedynOytyrEHgyauEgPYObKo5DGTAJDh3SQ0XhqzosQjY9yuYBF6yFdu4GRo1ZyLftrUoE5Cy6P/qCyhlKUUkBgDsQfAhLWShXDrcvA51vCaj8fejKpuLxQ89cVHApTygD89TougQDKDZUYtfJ7WD0UktQ9FwmrR8RwAaEcPSJEVYapwokmItpXwkb2t9Qk0PUKZN5a3eVPk1d/sq48ahMTiFtFxLIpV6rXI+vTSilXajgkI214xla5f1aGTvZVIMCQ2CAQ6wMUoAwvnEDIjANIWy7r9ul9eYPA3NOh0oZoiKj6jOuT/p577sGaNWsQCoUQCoXQ1taGRx991Hk8Eong+uuvR2NjI2pra7Fx40Z0dHQU3Odf/uVfjkkocvHFF0/saGiKjWOGv31RGzpQmabMRtmVV5VVXdXls1aJqFRg4QmktsvOqWH/vz2/YkxGTpX5/+kBiiT1/ItCIl0oeb2dvx6q9Twob13h7YiqhV2LZLK3KjSuAGPhwoX4zne+g507d+LFF1/EBRdcgEsvvRSvvfYaAOCmm27Cb3/7Wzz88MPYunUrjhw5giuuuKLofi+++GIcPXrUuf3iF7+Y2NHQ1PKGStgo6w8jwgyNZePO8Q1fKT0U4qnRPQGegP45W87soLmye2Z/sOlARCAQMwl4Q8VXCtk9InlqlWTvXyITnMBKNAPp3DSTvE33QUzQuIZIPvGJT2T8fPvtt+Oee+7B888/j4ULF+K+++7DQw89hAsuuAAAcP/992PlypV4/vnnsW7durz79fl8aGlpmUDzaVoF5gID+wsX2EqfVKh013jOFQQ0bsowIN4wEOuf2A5ESggocr2w0r0n8RGo+R8ovr07AGTWhi0s0g742YNBVO0mPBieTCbxy1/+EsPDw2hra8POnTsRj8exfv16Z5sVK1Zg8eLF2LZtW8F9PfXUU2hqasLy5cvxpS99Cd3dhb/lRqNRDAwMZNxo6inlAuasRP4Lh136O40I0LsHUnLVTypozoqy5omQoomw4NQxUS3roAKNxXcaaELRCajpknxv0HFkFq8iGXeAsXv3btTW1sLn8+GLX/wiHnnkEaxatQrt7e3wer2or6/P2L65uRnt7e1593fxxRfjwQcfxBNPPIHvfve72Lp1Ky655BIkC3zIbN68GeFw2LktWrRovIdBZaJ8YWDe+4BAM1KBhtLd4dlVQO1u+fhgzsJYNH7KcANNawF/I+zzX9JlPE+GTJUzWBTnvwJAzTkVavFHnaJlxdvoAeqX6RVFpfBkL8Elql6zOL4Y/yqS5cuXY9euXejv78evfvUrXHvttdi6deuEG3D11Vc7/3/aaadhzZo1OPnkk/HUU0/hwgsvzPmcW2+9FTfffLPz88DAAIOMaaTcfqB+KaRuMdD1inVn1l+Ec0Gz8x10Q+oW6YsPTYoy3MCcFZDB9yDDR6FK6R1ylqsaOSZ15hrOEB181LZCBUsLLDJerqYFYniBvn3FN/bPHff+iWjmGXeA4fV6sXTpUgDA2rVrsWPHDvzgBz/AVVddhVgshr6+voxejI6OjnHNrzjppJMwd+5cvPXWW3kDDJ/PB5+P33JmGuXyQhpWAb1v6DvsoMIJNtK/NYvOe+CfM5VNPC6JaQIjHcBwe2nBhU2pPN0dBb4uFUsvnoNIEhg6AunbDxgG4Mr82Ml4Nd+cnMm/JDaos4Emo7rdvkYguIBLnmnmK8cqkNmwiiQX0zQRjUaxdu1aeDwePPHEE85je/fuxYEDB9DW1lby/g4dOoTu7m7Mn8/00lUt/VuxmMh9JWMhq8mS0WNAx3Zg8J38GVULKanvNW15aclF0jQZ6YTs/09Izz7A64NyGVAwrZs19JJM6KyegSagftmYCcDS9ybQ+7oeWjNjOsgYOQIcexESy67gSjTDzOIxknF9Wtx66614+umn8e6772L37t249dZb8dRTT+Gaa65BOBzGpk2bcPPNN+PJJ5/Ezp07cd1116GtrS1jBcmKFSvwyCOPAACGhobwta99Dc8//zzeffddPPHEE7j00kuxdOlSbNiwobxHShUnItaqkvThkAJBRK401VQyifRZQw7ZQxwVeTX9T6Cp9GdEByBHn9PN8wVzrDYSHWi4dEl6FT5JZ/1M32LoEBDtydMiAXpfg3BSKNGMNK4hks7OTnz2s5/F0aNHEQ6HsWbNGmzZsgUf/ehHAQB33HEHDMPAxo0bEY1GsWHDBtx9990Z+9i7dy/6+/WyOpfLhT/96U944IEH0NfXh9bWVlx00UX41re+xSGQapQY1rUm0tJJ5+Wbw7ThkzXwzuSeP65S6NY3qJpxBBh9e/VrBBuhCgZBAnhrIGYiq/4JdKG0gi0SSMd2oPlsneKcaIZhqvAS3XfffQUf9/v9uOuuu3DXXXfl3UbSPtQCgQC2bNkynibQTJaIpP1QYFmicgF1J05Bg45fYppAcjTrzqzzXexTyc5nYT8dRTJVKEMvTS6lfSLA0CE4VVGL9LIoKMjgEajw4tQ+EjEAhXsn9BGbkI4dUK0l5OQgmmqzOMLgDCkqn/TubWWP22f/YSjdVT6S/5splSC7yFzOzJyScb+MeQz6d6bckCKBgwCAr2F8bRQTqd+/K+2W62NH9NyKDKXOKVHAaCekpNo4RFNLGeW5VSMWO6Py8YaQ0XPhRN1WZ7aYQGIESMaAaD8kGYUKncClqhNhpA0vFRnqELt6qnMHUt+q7MqoUBAYEDHH9mLY2wWaizZLYgNAfETXP3HX6CqqzgRReyMFHWikeicEAIJZE7uNIjVObGYcgNJLdH31pT2HiCqOAQaVjTLckJrmnL0Tkozr8u7p36N790D63tLj56VkhCSHMgyIy5c1LFVg+/QfjLQ5Mmldr0q5rAU/5tguWaWAvj0Q/wdyLg2V0S5g8N2MiZwq0GBXhh/bGAEygoxkAoYvc9JvsVTozjspamXyZXZYmok4REJUJsEFgNfKbWF10YuZHBtcKJcu8e2tgfS8CrN3b0mrAURMvToh2q97RI4DYiYgQ4chPXv0bbi9tGOrXVx8G1jBRXbl1HwfWMrI+Zi+x8xZDVdGu4CBt3Ne4PN+LjqjZ9ZiVU+e5F3hpRDlGrMeKRVcDOl2QaDyFN+T0S5I507IkWf0reMFyPDRPA0jKjNVpts4HD58GH/xF3+BxsZGBAIBnHbaaXjxxRedx0UE3/zmNzF//nwEAgGsX78eb7755uSOMwf2YFBZKaUgoROAY91w/ioSI8i4PHiCUJ4ap+iZiEDF+oBjL0DmrIDyjU2+ZcaHge7XgKEjVpc4AJdXp6BuWDFmeWO1kEgP0LMHziRIEV3evP8tSN0JUHUFMtQG5gH9b0MkWfrnT5FvQkopawgjz7BLpAsInZh538D+Ul89k+iFqkAdjKaVebYxgWg/YLgAlx9QVkBiJnXPRdLqwTHcOri1n5aI6HbF+lNl6KEAmJBkBKr/TZi9e/VS6cbTYbg5TEfHh97eXpx77rk4//zz8eijj2LevHl48803MWdO6nP1e9/7Hu6880488MADWLJkCW677TZs2LABr7/+Ovz+EocmS8AAg8pOGW6Ibw4Q7dV3JNIm77kDUB5dZtxOqKTS52r0vAGZtxbKrZcpSzIO6X0d6H9Xz91wefXNTALJOKT/bV0CPnQiEJin05ZXCYkPAz1vILNnxzoXIsDAuxAzDhU+KfcOIt2ASOnBRaGei/HsI/3HaC8mmodDFKA8YaiGPMEFADn2kg4wIAAMfaZyjLmoprOgDD1RVWJDQM+rqfbaGUuVnmCqrIRkyjAgw0eAvjdhzj0dRuOqCR0HUSFKqUlXjx7P87/73e9i0aJFuP/++537lixZ4vy/iOD73/8+vvGNb+DSSy8FADz44INobm7Gb37zm4zyHZNVnV/7aOarXZg29Tm996Im/3OU0t9Ue16H9O6DdLwIHHkaGDqqv6HWzIXyh/WtpgEIzgV8dQBMYHA/0PkCpG9f9QydDB1G/qW81gfK4AE9cTKLjB4Del4DJF659uXizvr9xUcmvCsF6F6YPCQ+knWOrIywdpBjr5KZvw4qmFaOwE5VD6TOozMOrqxAw14ZE9K9JMdehskCfFQJdqrwyd6AMVXEo9HslVfAf/zHf+Css87CJz/5STQ1NeHMM8/Ej3/8Y+fx/fv3o729PaPyeTgcxjnnnFO08vm4D72seyOyKHcAmLMKcAd1cAAAhrvoUIaIQCLHIL17gWhf6huopyZnFD9meHKkHeh/q1yHUVmR3BkqMygDOPayvthaREygr/h4ac7QJWvpavZj4gwn5BFakvmza2IJ8UR0Lg/p2g0ZPJiRH8cR6c71TAAmoPxA7UKo0GKooUMw21+AeWwPJNJbeLKnUrA/9vT7Ju39eGzXhI6FaKosWrQoo5L45s2bx2zzzjvv4J577sGyZcuwZcsWfOlLX8JXvvIVPPDAAwDgVDdvbs5cFVas8vlEcIiEKkZ5aoDG1RB/I9D5YvEn2ASAJCGJEShPECrPRUxlPCEtzBhph9QthnLN9OGSIj0tzjJS0b0zoZN0z1C0NzUPBdAX1BITYKWGDLKGS0T0WRTTCS/GhHPBVmd4y+FrAPAOCgYlOV4eMIGRY4AkIB07dLG2prVZQWSe3B51C62y8kmnBLze5QCkp6d4AbSMeSaiJxvHh4H4EMxkEoarxHNJVIoyriI5ePAgQqHUZOZcGa9N08RZZ52Ff/zHfwQAnHnmmXj11Vdx77334tprr51cO8aJPRhUcUawBar+FMBM5v6mmkZPMrQSLIkJSUaLPkdvm5ZQSgSohlUC7iAKXpizhwL63wa6d+demirJ0pdp5u3BsFZjIDu4UEB4GVR46ZinKMMAaorkx3DXAC6/Xk0kCUh0QA97pRdnGzygb+n8OZYuB5qcFOG52m/PwyiJfR48wbT7JlAwjqgQA2UYItG7CoVCGbdcAcb8+fOxalXmfKKVK1fiwAH992VXN+/o6MjYZryVz0s9dKKKU3NOgWpaC5iJvAGDiEDMhJ7Mqe9I/X8xyaie9Gkm9GuMHCtTyyso2Iqi68/MRCp4kCQwegwY7cq/famBhohOE25avQCSdKqb5tgYKJAMTdWdAPjz1CjxhoE5q/UKkOF2YLgDiA3mfpW+zKEt5QlaybdSE1+Vt9b6X4EkIpDRHsjIMf1vIqqXMRc6bms/drVfBaQdm4Lh9uklw0efgxx6EnL4ab102GTgQdXh3HPPxd69ezPu27dvH0444QQAesJnS0tLRuXzgYEBbN++fVyVz0vBIRKaMirYAvgaIF0vOUGG3SXujP1HetOeoPJ/205nByZmBM432/gQzCPPQTWeCuULl/dAyiUwFxjtTM3FSF9B4vTk5BhGiRyDFKgLojN3ltqI9PM7dnWGM4wwfFi3Nw8VXgKpW6QnZZoRQHmA4AJnNZCZ/nvNJ9bvLF129tu0FnL4aSA2oNtjxvUclNGerHTpST3hNz1jac7DlRwBmHUO/I2Qo/+ll77avwMzrkvDjxyBNJ0N5a0rfhxEGcqR67v059900034wAc+gH/8x3/Epz71Kbzwwgv40Y9+hB/96EcA9GfujTfeiG9/+9tYtmyZs0y1tbUVl1122STbOdFWE5WBcnuh5p6pL45i6m+iYurVCCNd+ht79nMKjV+KQJJRa05CVjAS6daJlWZojQqlFNCwCqhtTd1pB1rJWMGeCCVmzuDLuSc+PM7cPGlLhccMkiggEYEkC2cNVYZbp36vX65Lr7t96Q+Oow1p97h8UAvPB+aeYd0jetlqRnChgGAzYHjG7iF9mAkAYGacVxHR7z3lAgKNqbwa6atP7OePZx4Rkc2egzHZW4nOPvtsPPLII/jFL36BU089Fd/61rfw/e9/H9dcc42zzde//nV8+ctfxhe+8AWcffbZGBoawmOPPVbWHBgAoKSkAe6ZbWBgAOFwGP39/RkTYGjmEjEh+/9TBwb5/nhEAGVA+eqglxeqMY/rC0TuLneHbw6MBR8qS7srRYYOA/3WypDsb9nKrS+ATo+OqQMxI+t+aw4FYOj8FL56ff7yvSYAxEcBjw+q2HcN50POAPwNQOiksaXVCx3fwHuQzp2FXgCoaYLRem7eLcz3/gh4a4DhI5kP+OYAnkDu47QDNuecZs3VgegJni3nQnW9ZDWlwId5/XKo2gX5H6eqMBXXDPs1ev7XnyMU8BZ/QqF9jcbQ8DcPVd01jj0YNC2UMoB5p+sf8lUCBQC3L/MikblR6htnIdFeSJ5x/xkj2Ar4c+SEMLypIAJIXeQNL5yiZTZlAFZabbi8er6GmXTSbNtnTwA90XL4GJyApFA+jowLrqmzeXbuhCTGrsFPJ7EhnaY7NqRXv7j8yD92I3oicAFq7urcE1wLJVezc1+kBRfOkSoXUL8CxpKPQ0m8+DdFEVYBJhoHzsGgaWPULYIZGwR69+YOMgw3lLLeomItRVVKT+jMG3TkkRgBZvD4uVIK0rBKfzu3c1woN/QxZyUsc5aZGqm5Auld+Xoj/U+kS8+H8ASt62xcn4vAXMAXSrvc57iwZg8TZEjqRF9N7xvziAwdhQy8o4O/+KieS+KrBxpXA92vZpZlF+hkWx4fMLgf5sA7QDIJNf+cMStCVLAZ0rUvZzsLdiArZU3kFGuliRuoOwGqpjktL0upydmqvsOXplo56q1XaSkEBhg0rYzGVTDrFgFdu3V+BwHgrQV89VBIAslEaiWFcxG1nz2OWQbG5Loop4JSCqhdAFFeoOcV3QuRcYjWt3HTqnaa5/CVUhAznkpwZsbTKpIKUNMEoMhFObWz/I+ZEZ2rxMruKckY0PUKROJQhgKMAMQTsL759+hEVi3nQCVGdbGxyCBUbYNun52+GwBcgHTugIRWwajJ7A5W88+AHHg8qyFZeVDyHoehS86HThg7vONrSAVrhfZhF/IjKlVaJs5J7aMKMcCgaWd464DWD2TcJyKpb7qGFxg6CAy8Bzhd2XZEr3QQUog7oL9BV4tot+72z/WZImbha6l9gaxdDOXRQweSjAKj3Tozpqe21NCitIllo91AXY2uhHvsJQjM7OmhEKWAYKMekunaDSxer7Nwdv8JMHMPsyiYkP7XgJqsZXPRvqxJsSZgmhDDVfioiswbUS4vxFMLxIdyH7cdfGRnMiWivBhg0IxgjnYBgwcBCOCugYoPpc3od0EMD5yy3OnLGA0DIp7MzJZZVMOqSRcbmlKxntxdoiUOBzlzMGwun84n4QsD8dExQUBZDO0H8uzXXuwKf4MOciI9QPfrgLtwUiylBObRl6CCjTpAHDoMxAcyXkMv103NMcl5XMoobVLqvDOBo885OTLGDDvNWVU8SyhRtjJm8qw2DDBoWpmxYV3QLBnN+CMSAPCGdXVUpfRwid3dnoxlLlO0EyWNCTKUvrAGp2bWvyTjAEzA8E4yoHEuySXen7WV4QHsC6EIVGIUdjrx8QQX2TkpcgpY2TYLJf+y2Sm4EyOAx4+SCrWZw5DOdwFPMGc+E5X17xiGG2g4taQVL8rlhbSepyvcRrpSgYWnFpizHKqaesFo5jCM1N/jZPZRhRhg0LQxkzHg0B8z51fYRIBoH8SYB+VKe5sqpVeWJOAEGUopwOWFGF49VmlPgHT59OqAWJ9eylgBYiYhg+8CAweBxJDVFj8ktAQInVi0uNuY/Y0cS32DLjGgyHg+AEQigPRZF1WBRAaAxLA+j57agjMWUnk0RgBvMO+2AkC5/M78i2KTJDOOxOXV56WkQ7NevUi7AQCG1VMT69dbBuZB+cf3e1eGB5i7ZlzPIaLcGGDQ9Ol+DboyZp4VDCI6g2OgYezjLu+Y5FpKQc+3yDbSXvYAQ8w4pPs1veLDCQgMiMtK9tT7BhDpgYwp4FVgn0OHgcF30++ZUNtUwK5xYqXD9tcBqIcMHQGMGJSryIRXe6VJIgLUzNV1wZAKEhSgc5AMHQPm2r0cBgoFGc6RGF4gMA8y8G5pPSl2qvhicywAwIzpbLHB8tZTIJqUWTxEUp39LnR8GD5SfF5BoVokpSZ6SowU32YcxExADj5pLa+1MmqaSR3wxEchCavNox06xXYp+4wOpAUXE/swSX3Dz3VOk1C1rUBsKCMnRk7RAet/TGCkE4jr1NkC6H/jEV0J1RxNDY14S0jHbiahGlbq3gvls5bhFqBcuvfJet2iqvRDmI5z9hDJZG9VqDpbTceHXEMj6VSRIYLs5+YLOMq9hrx3n7WkVtKW0ZrWLQnEhyFxa3XEwLtFdydmEujZnX7PhJqlABQu257U81riQ1C5UmsZPqjwKXoIKl1sQAcUw53639iA85D0Wjk7clRadbax2+efCxXWqzCM5jP0cecNphQkmhYYmoniZ8Uzc/OcEM1GHCKhipFoH9D/DpAcBaD0KoK6JakaFcpVQqrwIpkV0+Wr+OnPX6RrIpyqn2Z66mlr6aw9tJMYgRhKr4YptK/EKNC1C85SiAkEF5mptQoHU8pXB4yO6vTYiRjE7dNLRusW6fLxA/sBwwWUWPkdkU5IYhTKHYA0rAF6XkX2UIkCgNAyqJqsTKXN74e0P6+X06Yn3zK8kNEBIN6Xui/ar4drUKB/p3ZRiY2mmUCSMT18GR+ycrsYeqVToAXKVXiFUVWZxUMkDDCoIqRrt56Jn375G24Hho9ClEsne6ppAYYPFd6Ry5f/MWfViAG4vXnmcrh0cqUyEUnqgEnSBhoMj74o2wGPAgC3dQEP5p9QKUmge7eV20JNZE5niil6Xsq4ulKT+sO9dy8kvBQ4+qzOMwGkAqUSSN+bUHPX6FLqLesgo8f08Fcymjq2wf2QaI8VYOo5IIbhAlrPhXnoOV1Pxu0FYsO5V5eYMT104wvlDjLqTnRKuVOKiAkkRgEI4PKPq35MJcnoMd0TmJ2NN9IN9O3TE7aRzHoPuvV7PLwU8IWrZ8kwAwyi8pHeN4HIMesnI/NipQx90Rlp1xdFIHdPhZ0a3JO7sI8kIjphlLsWmHuqnlRpxpC69Ii+8M9ZWXxS47gY+jVcHqvgmCc1BKOUDmg8Ndb8An0Mcvhpa1WLH6g7EQg06omRo106g6Uy4EQWJV7Yxc7qGenV+/A36AtzEnB6U6B04GM/xy6U5qRZN5294eh/AfGB7JfRH+jeWuu4Ra8uSYxmbjPwHqTxtNRkVpd/bFVSiJ5P0b0LEmiCjHbp1/eGgdF2/f92XGHXD8l+T8SHAQFUaJE1r0bpJaR1i/VyZnKIXTcl0pUWwHognhAQbJ7WQEPs8gC29N+ziPW3kx1cAEBCD0n2/AkQE+IOAU1r9MqfmWwWL1MdV6vvuecerFmzBqFQCKFQCG1tbXj00UedxyORCK6//no0NjaitrYWGzduREdHR8n7/+IXvwilFL7//e+Pp1k0g4iYwPBB66e0t1eOKF4Zyho3z7qoOsFFcGzcYSYhcWts3nAD/nooTxCY9z4gfAoQaNK38CnAvLVQnvJ+q1VK6Toe+id9Abcb6a7Rj7lr9DCQy2clvFJ6smqsH+h+BTj6XzpnRqQnT49F4W8rAujegUivLiIWaEydX2feijUfxMwa6xi2Ar9kTJ9nEd097aQSTxNogPLX6/NsGHolh68OqMkacpJkZg6Svr3IRyCQ4SM6qdrQIV3PJPuY89WZqWmGWvhBPVG0aS1U0/ug5pwyo4ILSUYhQ4chg+9BRjv138NUt8E09e9g5IgOuiWhfz/JESCqE9pJ9vtiKg0dRt73eKnf1JUBJAaBI8/ptPg0I40rjF24cCG+853vYNmyZRARPPDAA7j00kvx8ssvY/Xq1bjpppvw+9//Hg8//DDC4TBuuOEGXHHFFXjuueeK7vuRRx7B888/j9bW1qLb0gw20pn6/3wfFk6xLuuC7a2FmNZkSQBwuVOFrhIjEPvbuOjnZuSWCMyzdmnoi3ugvPMtskkypi+ohjs1LKKUzrnhy6qbYR2/iOhvjPYHYTICdO60ejqAMVGGAvTa0Dw9GZFB6EQgABKD1uTOtHPtFCkDABMihtVj0g2YEb1vM5F2Ac/RW+ALO99yx/wWlaGDmtHu1M/WthLpRUap+eynAhDDpc+d/fseU6gNaUGG9az6k2DkKKw2U4iYQP/bwMhR6x7r96fckPpToCr8vswwchhIDOd+TBJ6OCrWB/gbp65N6aI9KDx52/5PkZ48pXQA3fUq0HRm+dpXbgplGCIpS0um3LgCjE984hMZP99+++2455578Pzzz2PhwoW477778NBDD+GCCy4AANx///1YuXIlnn/+eaxbty7vfg8fPowvf/nL2LJlCz72sY9N4DBoxnBWGCjkHPqw2d+0lQJcNVCJ4Yzu/IxNRayegqwHPLUVS6CVV6xfr8Bw+fRwgdOWYN7Ml8ru8k/PFZEYTjs3OT5MnbtSjwmUzk2RtIYH/HMK59hwLtIxSKRPt9cOzjJ6B3J8kBcYVkoFCW4dJNQuSgV90d787Ul/vjsAxAazHjDShm0yDqRoKfdp1/9WVil3e/gvAfS+Dokv1u9XT01acrLyEzGLZ1WVuO79mq4Ao+gQ4DgmIykDiHZDTHPGzslQSune2knuoxpNeCAumUzi4YcfxvDwMNra2rBz507E43GsX7/e2WbFihVYvHgxtm3bljfAME0Tn/nMZ/C1r30Nq1evLum1o9EootHUrPOBgRxjxzRlRJL6A8tMFKwJMpb1QeIN63Lio50Y8+HiCVkrDExkzK/w1AGNp07bH55SCuLyO8dbdJ6HU17dzLoPyDiuzBexNrMeT0T0agoo6JTk7sLpvO37B9qRWhYiuT+7nTkySk8GLHw0micIxAah5qRf/Ev8fWS3ocDcE9W4uqITOCXSA+l/R09wNdxQtQt0OfcCv1NJjEIG3gVGOnS7XUUSgQ0fBry6h0tcAT1vpKxzgyyJEZRUej5Pkbkp4QnqycV5TWCmczICGJUL3Ghixh1g7N69G21tbYhEIqitrcUjjzyCVatWYdeuXfB6vaivr8/Yvrm5Ge3t7bl3BuC73/0u3G43vvKVr5Tchs2bN+Mf/uEfxtt0KjMR0R+cA/uzusVLvehbHySBRj1vItYHDB/VF1KnQNccfVEe7bQqXRr6m5c3PD3BhbceThDkqdE9NhNd+QEBDL/+sHeCjawt7KWr0QF9XpzhpXEu4/PPATyBVPgmonsQYtYHvZkE7JTsJY+DK6B+uZ4DYwvMAyKd+Z9jv348Rxe+UtC12q33kqcWqnElULcYMtoNjB7Tj3nqgGBrZgr5Qq8npg4ezISuUuup0wGiCKTnNWvCYVpPUaQb6N0DtH4oZ/0TGTkGaX8+1U63HzAChc+bJK3JloZehdT/NqR+WfknW5Y852MavxEHW4G+fbkfc/4OxvlHNd6/h6mkDEw6F0+5c/lMkXG/u5cvX45du3ahv78fv/rVr3Dttddi69atE3rxnTt34gc/+AFeeumlcV0sbr31Vtx8883OzwMDA1i0iGvgp9zQIWDg7bH3l7QSwl7iqVNHK6V0MJFryEO5dLAxAyiXBxJsBYYP68N0B4DEqJ5DolxF3sdZH/4uLwQeIDmoC6Slfag6o0uSAEZ74QwnAal/zXgqp0gOYv8OgnMzhp/0FA8F5Qvp5YCRHn1hMpN6u0QU4q0tXBUegCTiQN3izPu9tRDDl/cbsp6gGht7LgB94V90vg4+lEt/002MAsdetgIS63giXcDQAUjoJJ2dtNDxDx/Ryc4kkXrAXQOpP0UHh85qhqz3azIOOfIscOIlqeEfEUh8CNL1StaZKLXXJi2IlIRekllTviXUAHKnys/Fm3t11pQIzNMB32hn5jCq/X7NE2znJCagPAX/DqadofRtsvuoQuMOMLxeL5Yu1Vn71q5dix07duAHP/gBrrrqKsRiMfT19WX0YnR0dKClJXdtgGeeeQadnZ1YvDj1IZVMJvHVr34V3//+9/Huu+/mfJ7P54PPN4PfULOAmAlgcH/qwpRe4tpww/lGKNCPOxOd7CWd0MvR5p4+7oJgU0lMU+fqGDykLwqGR19UEyNAtFcHHErpC2G+FSvOB2f6RVVB4jHAlbC+xZrWxE7lfIOT0R5dF2TsUhr9b6QXEtQXqHxzPySZSE2YzXh1i8cPxH16GMpM6hUlhgGYJsQw8hY6AwC4/TA8OS5oDauA7j/lnuxpJnU20Fw8NZCDf9DbWMtPEemCypXqXZJA/5sQlzf/BMqhg7p3LVtiBOh6xap+m0a5dFl4b0if88QoMHgAqDtBT4yM9kFJEggv0aturG5+KRpM2/vPOpvRvrIHGMrwQLz1qRTrORllzQ0zXkopSP0yfa77305N9rWXTqsSgzZ72XXopMo1liZl0v1zpmkiGo1i7dq18Hg8eOKJJ7Bx40YAwN69e3HgwAG0tbXlfO5nPvOZjDkbALBhwwZ85jOfwXXXXTfZplElRbr0xS97zoVdTt2q5Dm2loih8yqETgRq5s+YxD+5SDIKHH1e/2C4rDkUSUjf2/oCV3eSvuiYEQCGlXxbMhNB2RefrPMk3no92S79m7VdJUQABQXx1AFm2qRJMTHmm3Z0EPDVORc5u+tfKaWXIiqjeBVSXyjtoi/6Aj/aAwTHZs50Xj06CNV8du79iQl4G4DEkLVMEtaqG68eehgziU/pvCLRvtT98UG9hNVTW3joof8dZ+WQJGN66GHgXf2+8xUaRrMuTjaXHwid4HS1O3NskhHI0GFdlRfWfKORzozfm33OC1Kusd3cGb/7MqpbDPSOONWGsxoChE6Gck1v7gillJVsrwmSiAI9b+jAzzD0EEq0J/fSaZuIPn/BVqjQiVPW7glhoq3S3HrrrbjkkkuwePFiDA4O4qGHHsJTTz2FLVu2IBwOY9OmTbj55pvR0NCAUCiEL3/5y2hra8uY4LlixQps3rwZl19+ORobG9HYmDmT2ePxoKWlBcuXLy/PEVJlxIcLT+hMxpB7HNXU4/6euhkdXAAAOnZkXBRERE+yjA3oi+jQYd0l3bAKMmcZ0PUqZOQo4A5AlD3pT6xvaPYkSkN/Q46PFhlWFT22H0F6tGL9m/ZhkxjR59pfDxgu50In0SHd1rrW4kMd2b8H5QIWfgjKNCF9b+jhFPvVzSQQG4aae6ouSz94wBrSUDrVeKQnLTur9SzDDTSugQrO15VU+/bpyZGAzh0CM3fwVEoCpeQoJBEBYEIOPZVKAlYoA6xzmF6InUDMCi7SAxLn/xNDEMMNpVz6nOYIDIoO8do5R9K3MyowyRNWL8aclWmJtqyaL756ILgAqoRzM5WU2wc0nZF1b6pXW+IxvUon1mMdiwH46oDw0urI3jqLE22N6xO+s7MTn/3sZ3H06FGEw2GsWbMGW7ZswUc/+lEAwB133AHDMLBx40ZEo1Fs2LABd999d8Y+9u7di/7+ApEpVYe0gldjpKfRzsnU31jm5+7Zmgkk0mvVSXED9jfUkc6xWSwTo5DOnfqbuV28zerSF2XlezB8QGiJTgg1ctRadeCGSKLwxV8SEG8YiPenDa/kmgmasJYmCgDXuFby6JWwSl/oDZf+9jtnuU7jDUA8ZwN9b0MS+vetAnOB5hP0BNH0+TcCYOCdrNUBdu9NAjj2EsR4P1TNPKiaeamsokNHIV278p2B0g7CjEGOvawnwTpPLfEDWSlrSKTI/BkzCTFU/vwSBdnZbBOASgua/A0T2FdplOEGahdCggsAqx+qWpc6Ko8XmLtquptBEzCuAOO+++4r+Ljf78ddd92Fu+66K+82xboS8827oBkm/cMc1lwFS0mfY9EeSGKkojkBJmXgPSe4AGAVBxvNv318WOeOSJ/NLkkgmQSSMesDfwEk2u9cpEr6uFdImzCr9P7tORVmEmNX70jav7AujPmXUCoACDRBzT83435JRIDevVDZSZESEd2GZNa8CDNRZOkh9IRKJzGaXjFixvoy25vZisL7syVjY3M/lLqaQkRPJi2+oR4SLFla+vj017K5AlOSw0WVOp+BKodDJFRJkhjVH4IuL1Sps7xnOjtHg5mwPnjTVkAoneWy6N9EImp1kc8sMnRY9xqkBwvZSaFyMRN5k4VJz+upXg7AudAWbAcAJCWV0MobhLJyXwDW2L+Z0AXCnPMvmat4ogNAYE6BeRgKqD0h83UTEaBzR56ekCQw9J7+vaVfmHNNxMwW688RVBboaTDjxYc6PLW5l7wmY0CxERZvvR7WKZB5NEPJH/J5Lih2RlrfHCDYMqMnN1MZMcCgSpDRbqDndeubnQnAgHjrgIbVUP7Kf3splZgJ/e3cGkcvqSvV16ALVo2ZxAnYx1r0m9MUjgVLIqKLakX7rW7xsK5t4cqsYyHRfqvrP703AKUNOxTqnUtGMo83NqRXcOTbFQDAAGJd+sKU9n7J+P0ol5406wRAWb0BiVEg6gF8tdnTKvV/56xwqps6unYVP97EiFVHxuopKLXHIBnP+NRRNfMgA+8U2D6q56LkpIDwMkj/WzkeE6uN+XonFBA+SdeqGXgPkizQO2Vvb3h0r1bRyZk53veGBwgvA9yBnKt66DjGORhUbjLSCXS+iMxuXquoVPvzkLolkFiP/maqDD0Bru7EKf3wETOhl/GNdMC5UBheSO0iPTu7QKAhwQVA96v5dlz8xX31UJ7K9F6IGbd6jPxQhksnTuqzSkPb4kPA8BFI/XKo9LHwfutilzGxUiF/Gus0BQMzlbacVwHmMMQTBJAcczkSe3s7/4WV8THvUlQYeptk1MpjkXUBjA3ob/n+eqf6q0gCSEahet6AtLzfqUgpkZ7SeiPslnrrdT6HUhMdZffg+efqQCU+BOQYElGSgCRjY7NeuvxA/XJd7j5fVsrEqO7t8dRk9ha4a4D6U6C8dfoo6hZB9b+V8/VTDdFzNMQbsmppFJDrfVAtExKJyogBRgWICND1CvJ9YAlMqKH39JCJtZxQBg/oxFXN75+SYRQxk7qN2ZPWzJj+Bp+MAOGT8++g783CL5CeGXIMBcxZOa72lkKGO3QgkXbBEXcQgJnn4i9A317I3DNTFTkTeYZCPLXWMsoCCl5kJa0r3vr/4aNAsEW/HzK2NYBIX6otpfT0uLy6lHWgWScwSmRddO107p5aPXwF6MAkGdGrL+aeAVUzDxg6UPy1bKPdkEh3KneUOwhlxvMvj6xpHhMoKKWAlvdDjj6f9V5UqbxiZiw1XFJ/il4N4akFjr0ESBxKGTphWK7XTUb0MdadAFW3OCOTp/NKhgtSu1D//eX6m/WGARhAcgTKE9RLVXMtoVTWhN70gMddoyf4+upznBOaFThEQmU10pHnQ1ZTACAJKHiQPrtbxIR07oRqPa/ybRwuUHHRelxqWjLTQGc8fqTw/iWpr6cud+bF010DNJ6W2WtQBjJwAOjPkX44MQxA6QtLviBjpF3n5SjEW5danprPuMbUraGM4aOAqwbi8ugLVGxAp5LO2m+h3iSdh0EBgQYgdAJUtBvir9e9OKa1sgVKV3xN62pNu8TqVRiLPwrESuu90Lk2koAYznlVSkEMjw5gMibEKj2PZM6K3O13B4CFHwKG2yHdr+mgYewr6h6a4SNQdYt0gGyvZLIq8iI2kJa0KU3NfKimM/Uy0zyUJwgJLdHF2mKD+vVcfj00ZQ8bmnEgPgLlm6PTj4906N4epXRPTnA+lDtgzbmK6mWo7kDVrt6gMmEmTyqrSO4uVHGqW1oT8eIRPSTi8qQuIpKARHuhKj3D3CkrjdSyUmedvjUkMHIUCC/NcxwlkCQQWAzUteoPZ3cN4CtSAXQCxEzkDi5SW+iLbb50wtFeACfq/1euzJ4GaxKiMlyQYIteqpp9EXPG5Qudl3zHbGUvjFirIAyvHjKwJ2qaujy8U3I99x6gvHWQprOhhg4CtQt05dRkLHPs1oxCxK0Lejm/Z6unQAyg609WGfUCh+Ecjn5+dpt0sGPo47CD7EAT0LAyf7AKQCkXxBtyElrlJkCkCxIfTvUgpAc33pB+nyUiqfeyywc1v62k95xyeXVmzXzZNQ0PYNUmUUDeZabKHSg9ZTfRcYwBRiXkmEchZjIz4RIAQEHEo9MPK5dVmwJQQ4cruoRNxPo2KNbFLb1N6Wmt4/kmvomefZ+M5Hk8ja8eqtz1FrINvFt8G0mmBVBjHkz9b02L7t0Z85jSiZlqF+iJk0mrG9zt18MZyQQABQRb9P+7ffp3OtpVeHkrAEDPw4GnVnf325k4IfobsZi6ZH2ei6QCgNBJUKMdQHxAT2jNE+RCEoAo3ZWfsROlAy1/Q9FcD5IeiOZqj7ImRNoTRcUEhg7qTJuwCn4FWlI1aGyFcquky9NToZTSQ0X2MIwVOLMHgabVLC52Vp2tnulqMwuv6eAicymn9YhOEmTnM3A+kEvsIZggpZQ1X6BQQizJO3lOKQPK40PRVSKGByrQWHibcij1wpRveMMbTv1/3YlZGRbTlt/qHN56cqp/jr7FR/XvzVurlx56aqGCzXrM3VsHVX8SUL+08DwKEav4VOrbePq/OhBNZm5v3wDA16CfH+nSF/9IX+HzYMZTCbbSbgLkD0ycl07PyVHg95/+WKQL6N+vgxs7ZfZoO9CzWw81OM8pNTmWYVW1RfG/FcXvUDTN7CGSyd6qEAOMClCeGqcHQkSKL/kz49Z2iYJdr2Xln5vngqtSt/iQHn7IxW0fY543vuHWcwsOPAHpfqP0YZWJKHUFQ74LYk2qGJ8yXMC8swBveg+SlXVSeaz5mXE9Tj94WPdg1J8MVbcQyhOwuuhHkfHN2eXVBbLypb62gr1837SVUrrSqrdBf3NPRlM3lx+YszxV3MrMrm+SR47cDzrwNMb+Xq1gRuw6M2YceX/v6c/JvCO1RFi/mv7HXrUDAP7G4vtVBuBvhPKFrG+Geba3X5+FsIimDcP7Sml+P3Dk2RK/Xds9CVbiJE/IGqKwuqo9wfIn5Umr/OlcOOxhE2XoC6fLC9WxHTLvfWNXttSvgIq/DCixJrVZPTTKSHVTj/QBSEK6X9WlxeetKe8x2OoWApE8FTodebr0QyeNmRugXG5g7ml6uaudX8JTC5UYhUR79WqS2ICzdBGxfv1N2TpnkKSeA+GpcebWCAxdlGv4aObri5XGuWi2RaUno2ZPkIj2A0f/S2cJHR1KBbPK0PMADA9gZ6G0Ap/CRC8ZnX+unsg7dMh6D4tVoj2mJ3EWmGMgInrYL1tiNFUSXindlGgPxNQVZZXLC6k7ARh8N3/z6pakatg0ng50vaSPNVfZb3cQqm5hkeMlqjCuIqFyU4YbsuBDQOfLhT8wbSKp61/nC7pL3NRdyvqDd7Fe7laGQEMvsxuA7no3dbbHjC74JBCLA4YH4gtBdb0CaX5/xmsrtxcy70yg+xU9OS4ZA8SE2OONI13IuBj27oXUL61I7gvlb4RkLw/MFpirAwA74POG9eoCKxdCzv0aHsDfoKuq9u3Vc05MU68AMlyAXw9riJhQiYi+MIue4Oec12RcX+h8NXplx3D25FpY576UP8Xc6bQlGQUGD+pjND1ANGYNudiTLsWaPFqjAxIzXng4QkS/5wz32OWYhgswdW4KGJ4xvS5OT1W+tNp6aVHa/jz6vNnLOBtW6kB35CiQnfo8uACYc4rzVOWvh8xbC3TtBhDLPD01LVAN5V8KTTRuSk0+URYDDMqmlAHUtkJKCTCsL3TOLPg0kogCybegYoOQuadPatKamHGdqdHuHYkN5ewuh92WuLUML9I9Jr21cnsh9csgPXug7OGWRNTqps++GCpg8ADQkHup4qQ1nwN0bMs9HOVrgJp7esZdIjrTowwd1IGDMnTPkW9ORpVXkSTQuwdixqBEdE4Gl09faO1jVC7A59W/t/iwvvAabgAG4DIgEoUM9gHBJqQummnnx0xAxFvC7zV374OC/r0qCODy6NUUGDuXQwR6FcRoT9ocnBy8Vvn33j05XszK0Bob0vNOXN6M1OWAQNmTOXM2Nu2DVqkxnUpKGTpwjZ0EDB1MDQPVLoLyhZFN+cLAgvN0wJMY1atG8mb+JKKpxACj0mqaUFIWSFGZEz0zHksAcRMy0gE1ekzvc6J69znBheR7vXSJUYgnCJUjwJDRLqBzJ1TahUop6G++Xlcqp4LLmrsQG6xY2SXl9kJaP6S/+Q4e1OfM5dcZFLMuTCICjHaMzciYPAZEuyG1J6SGACI9gBmzcpckdXBhXyTtC7j9fLc/NUfCcKeGAWACngAwaOcOUdAVNk3rqm+/NwRjrri6wTmO2Eh7DYEyExnVX3OdZ+Xy6joxdTV6+zzZMxFcoM9NcmyPkFJK5+yQJBAb1BVjrVUb1iBfjle2m+zVbU4/LtPMGK6zXwO++lSvRglU+uoRopmEQyRUKUq5IA2rdUrjvBt59HWlYLVGU19Ahg5OOMCQZDRzrkKp1SFz9EiImDpvQq70zkrpzWsa9DdK5xt0FHJsl060VYGU6EopINiqb4XE+vOnexYTGDoACS/TPVDRntRl30wCnvwXMRG9rNSZt2F/swcgMAFfKDOJVjKt58iMWxfItFUaeid2F0VqW5dPX6idHhToIC6uAzrl8mculVZua9lsWuDhsu5LxjLnCdXo5aM6fXxuejKoWwcXtYsA5YFyWUMdI0fzPg/+rB4IpfRKG4MfQ3QcY4BBlWTMOQWmJHXhs2zK+jYYjxaeFQ/o/Aq5KkeWqtTlnLlkz1UY7SqcrdRbC8nKQKmUoXMsdO0CmtZOvC2TFenO+FEkqedLxAb1hdzwAImYDlTMtFoh9rBIgdUeehmmK6tnwooR7ORZTg5slQoSkjFIzTyo+Ejakmal2+IOpNKUG2kl4ce0Q1lDbL36Oe4a3WYruMjRYB3UeEO6HbULndwUUkKiKKUUULsAKjDXOo8m0OMDBt9Ltd9OVuafk0o+ZZ8D0wTmFEhHT3Q8mMV5MBhgTBGjYSXM3rf1Bda5sAgAqxfB7u4uyCqUVS4uj/PyBRmesdkN41YK7lxd4i6vs3piDKV0RslIT9nThZdCDwul1SpJxoDBQ6l5KC4/ICbU8BG9isIThLhKmR+Rxv5GnjW3RafOMuCcs4yhMwHiwxBfOPO17PeJy6/nihR6n6QnuEqM6v17i+QhUUoHIKGlmXVCvCGrCFmBMvWugLW01N6VATSugoRP1ite7OythhuIdmeeD09YBydV+sFJRMUxwJhKngCQGMo9pm5fSIpV5IQJiQ8XTLuclzeM9KBAGW49XyJfrgsAcPuhGlY71TYdRoFJgkaRsXARvfyxDAGG2Om07W/1Q4etlQ9KDyUF5mVexOIjQKQfSI6mcpTYF3mrdHvGbyARgXJSjJfQ1SmiL/I5Ul7r4MIKEpUbCDbrVR32cE2kVwd9nqAebgF0Nk9Alx0v0HvisHtRJGlNFi6xezbak5kPRClI46lA+/PI+3uee1rOwEu5fUDohMw7a5qcpFoMKmhWybNCftz7qEIMMKZS/TJgNEe+Bju7YbELgX2hG+kAwuNPIKRcXkigSU9wtHnr9EUu1yRUw60vbNFeoCZzgicCTQByDPkAqTFHJ5DKMXmx2OTSIsRM6CGn4SM52m691tBBwF0DaT5br9To3ZMxTGQPaYg74Hy7HvMbkKTO1ukJQKCs1TJ5LtpWsrS8KyjEBPwNUP45VlpwBQk0QIa8wHCnft5wp26PL6x7TpznJgC3t/hk4YzTMI6x31ypt/0NkJY2oPcNq16LxRsG5qwcd5ZWBhY0K3EOBk0FVbcI0h1Ku8ipVHd60TeQssawVeEeB1gX38EDkGi/LmxVu1Bf1AAd5CRHnTYow6XzMyQieompmLDrosDl1RfUoYO6pyO0JLX00e2H1C7SF/Fs8VFrLoM71bMAM+viqCDJ2Jjy3c4xJCKQ0U4d/MCEUi69qiDQpM/V4WcK1EJJS+8dHwEOPqGHbOx03enn2pr4KHDlv3gnRq0EaDWp85OV2Emsf1We4EKUBxg+BjV3ZWY+EWXo90WwFRIb1Cs3EqPWqhUrmHEyc5b4IWMfh1mo/kqWPKnMlX8OMP8DusBYMqIn7Wat+iAiyoUBxhRSSgEnfBRy6Gndk2Hkm6yX/USXnm2vrPH7fFVBAZiDh4Cj25CeLlq6X4XUzIdqPRfK5YHMPUO//kg7kIxCJSO6p8JToyfe5eoSH9ivL1z1adVVG1bq+4YPI2M+hoIen7ePTSR1UbYnMCZGgY4dkOazUhd+6JUu0rXbylrpnACIp0ZfeEc69WvmDS5S51LE1OnXXR5reAIFz7UqsJxYWTlBpOE0oO8NPZRheHQAFh+BSkashFYuiMunV0YopQc4lAcY7YVqXJH3W7wyXDpxVCKSNXk27XfhLHvNY0zxOqtHpZT5PUWK6ylPUL9HiGh8ZnEPBvssp5gyPDAWXwi0nlfasIjhB3zhzGWdaWPl6cyRY8CRZ5CzFsXIUcjhp61KnQZUTbNOPtV0lr4ImbEx1V5FTN2TEB+GxEcgfW/CjPanjkUZUHNPA1o/CNjd5cql5zKk/1GlH2P6XI5kFOh7O/V6yRjkyHNZwQVgT4DUQzlJZ5hJRCCmqf+FTsct6bVUlKGXTwJQRTLplTSJUxlQNXN1MTNlQCWjwGg3kBjRE0MhOu21fb5EAfEIoNww5q4oujR3TN0aye71QVqP0JgnA5DM3BXKXdqqI289l4oSVUpWUcEJ36oQA4xpokopSAUAZlQPD9jqTsz4xp+hc2fhfY12QtLmgMholx4+SIxaqb7FmTchdn6EZERf9MyYvpAefloPO6QfiyeYupAZntyTWIG0Pxb7bSfASHuqoNrAu/o18klGdC4PiK5AqwyrroWuCWLfUn+QkvmFf7J/pDUtev/hZYBvrl7amtWl4LxCMqaX8sYHrVLlJRQIA3SGTFuu3hR7Emd2MTIzYU3qtOa72LVRxLTSg5u5fy/eeqhieUOIiCaAAcZ0GUcZaUlG9fb1y4C6xTm3MZPxzIl4+Rx5DmImINE+oOOFrO54fWEWM5H/Qm/GIEeeySizLWbSKqQFa8JqgQupWHkRUnc4z5XB94q3PxmFmKYzvKSDCqvtWTLuSS9vnqddkh2QZOzMAOpPtl7TsIYLCo1XICOQkkgv4J8HuMcOMzj1O6J9Y3ufcrVZKSewcraxh56US6/gWPhhoPlsKxum0sFi3BpWUh5dmTW8gsEFUcWpMt2qD/tFp8t4snGaScAbLnwxKDWJVjICOfYnKOSpPwKMqYUyRnxIF+2qXWC1L+2iWOIyShGlu/NNXXhN3MGcqanHMJN6OKKkAE2lUleL1eORb9KjUjqRmRUUZOTTVG6g5f2ZS3VHu7P3kLU7/RpOfJAY1suU3X4gYRVds4dDDA9k+Eie48+TPtxus3LrZFWBJmu+RVYBssZTC7aTiCqsHPFBdcYXDDCmi3J5Id7w2GqVmVtldPfnIyLAsVdKf/G+tyDemrHzDiQJESP3HI6sdsnwUSg7wEiMWD0aRZZx2m01Y5lzAzp36oRMpdRsAXQvi0gJ8yayzps94TEtyLD3I2bCyYMhYgLugF7hEmwBalpzzOEY51+8k9Zb6dobnlrnPqWU7qUaPpLnuQVezhsGAs36XLAWBxHNIAwwptP8dcB7WwpvIzqLo3hqgYH3ICNH9bd4Xxiq7gQob51edRHthZNgqSjT+kaf9eu3v+UXJRmvI0OHgEQUyhPQwYORf5ULAKdmRoaEVbUVKu3bf64sob7SejoyW2tdn625CspIrSoRU8+PUG79uMsLNJ4Ow5e/jDsAnRdk6N38r5nRdpWR8TJ1d1rUEFqiV/EMHk7VKzG8QHC+ntcyfEjP60jPAhpcANQuHF+WUSKaWrN4FQkDjCkgiVFI3ztW+emYXsJZ26LzH/gbdMXODGlvSMMDQIC+vdYER0ukG9L/ti6k1m+txCgpwLDfqLkCCYGSeFrGyQJ78aYVrooP6kRWiRiUW+eUUDnye4hI/gqeVmCTWbtEZV6oDY81iTQJpbIyi+b6mq+U7pGxjkWslRYK1pyFZMzqMTGAxR8uHlSkC8zVQUme3h7dK2L/LgQqdGLB3SmlgJoWSKA5NZ/CSKUol5pmPVfFLorm8jOwIKoGDDCoUmTkGOTwM5kX/mQU6OnT4+6eOqt+RI7JfS4P4K4F4gM5hg6sC2/Pa/r/nSWhWWmq3TV6QqJSunpqbEhfFANzrUmh2Rd7AQzDyoeRj4IEW3Va7mQktYtk1BpqiEPcfitleFpNkkQkbwbPfBdLJ8hQbsAb0j/D5QQemc8bG2QoZQC+en2xj/UDyYSuR2L31vjnAa3nwnCN709BKQVpPVcn/IKZKu1lD7mk5aNQc8+A8paWnCrfUIdSSvdwEFF1mcUBxrhWkdxzzz1Ys2YNQqEQQqEQ2tra8OijjzqPRyIRXH/99WhsbERtbS02btyIjo78ZZ8B4O///u+xYsUKBINBzJkzB+vXr8f27dsndjQzgIhAov2Q/ndg9u4ZG1ykiw4AiWFdjTLQYH1Dd+sLjH8OlK8eQKLwvASRzGENwwBg6N6M2gVQwWYdYLhrAF8YqFug91270MremGvCo0sHPmMf0P+El0L17dEJtiLdzsRN3R6rBkakDxjp1PU1HHmOI7unIsfj+m/Uen1/SGcLReZQRPouBNABji8EGC4oJVAuH5Q3CHhrAV89VOPpMBZ9eNzBhdMsTxBYvB7wN0Ept5VUK63nIrgAqvWDUKHcK3+IiI5n4/pkXbhwIb7zne9g2bJlEBE88MADuPTSS/Hyyy9j9erVuOmmm/D73/8eDz/8MMLhMG644QZcccUVeO655/Lu85RTTsH//t//GyeddBJGR0dxxx134KKLLsJbb72FefPm5X3eTCTJmO5RiA9CLw0cLj5kER/REwoNL+CvH/t4sZod9kXXTOvFMNx6joC16mFM74AvrNOOzz9X15kYPgqnG8JdA1V/ih77738b0mdVgAX0ypfgfKiscudKGRBfnQ4qsiWjEDF1T0Le+R2qYHe/AjKCLD1BNqSXdbq9Oo25tY0kEroyqC8Ae5gBgblAIg707tHDKzXNUPXlKROuDDfQclaqnUREGWbvMhIlBb86FtfQ0IB/+qd/wpVXXol58+bhoYcewpVXXgkA2LNnD1auXIlt27Zh3bp1Je1vYGAA4XAYf/jDH3DhhReO6zn9/f0IhUITPpbJEBGg66WM1REy2mtNzCtM1TZb4/ljv+FLbCijvHheZlog4/IVL0TlqYWyljBK0kqipVxOEa6MNphJZwImunfnTtNt9dwgLdOnwxuG8tboYYNo39jHc8y/yLlNejrrOSshsThwbHvq/PiboBacy7kJRFTQVFwz7Nfo3XI7QkH/5PY1HMGcDX87rde4iZjwHIxkMomHH34Yw8PDaGtrw86dOxGPx7F+/XpnmxUrVmDx4sUlBxixWAw/+tGPEA6Hcfrpp+fdLhqNIhpNXXQHBkrMAVFJ0d7S0jKPl+EuHGDY8aGZ1MmXRACXr/gyzviQTmttuPVyzAJLHO0U15KM5q8BopSupeGptfJbWCszgs1QdScC0V6owQO6UqidlMs5BrNoGm29hNSa6eANQ/nCUD4AdR8r/DwiIpoW4w4wdu/ejba2NkQiEdTW1uKRRx7BqlWrsGvXLni9XtTX12ds39zcjPb27NoSmX73u9/h6quvxsjICObPn4/HH38cc+fOzbv95s2b8Q//8A/jbXplRY5hTN4Fl7d4D4aRvRoii8ubGqIouB930SqrY4y386qEJbDK5QFCi/Ucj3TeICTYotNnDx/V9UbShn/slSu5QyIjFQD5G4Hw0pxbERHNOLN4kue4A4zly5dj165d6O/vx69+9Stce+212Lp166Qacf7552PXrl3o6urCj3/8Y3zqU5/C9u3b0dSUO9vlrbfeiptvvtn5eWBgAIsWLZpUGyYtVxVSTyCztkQuXjt1tPUGyso0qZQB8dRZ8zrS2NspBT2p0/pZpGgGa0cyoleqlMrl069VcAmrWGXlx1KGGyrYAgRbUsMlZlJPulRu4NhOPWk0nbtGZwz1BAH/3Px1WIiIZiIGGKXzer1YulR/g1y7di127NiBH/zgB7jqqqsQi8XQ19eX0YvR0dGBlpbc1T9twWAQS5cuxdKlS7Fu3TosW7YM9913H2699dac2/t8Pvh85b/QiFgJpKziWeOS46KqlAHx1+ee/AgAniCU2wenfodTZTsryDA8EE/IqtqZsHcOHVikTZxULiuRlFgTI/Okxbb1vA6pXwqVKwlUDkq5IIG5wGhngY3cRUt/630ZgL8h886WdZDEqA4yRPRKD+84clMQEdGMMeliZ6ZpIhqNYu3atfB4PHjiiSecx/bu3YsDBw6gra1tQvucKpKIQHr3Ake2AkeeBo5shfTu1Re7UuUpoa7cPqCmUecwsFdSuHzWMtRaAIZe6WAHCna1Ubs4lxX0KCT1vlx+KMNj3bKqiAKAywMFlcp2mXcYxNq+7y1dPKxUtQudlNo59xk+WQcPE6TcAajahVB1ixhcENFxYDwFzQrdJuY73/kOlFK48cYbnfsmklJiIsbVg3HrrbfikksuweLFizE4OIiHHnoITz31FLZs2YJwOIxNmzbh5ptvRkNDA0KhEL785S+jra0tY4LnihUrsHnzZlx++eUYHh7G7bffjj/7sz/D/Pnz0dXVhbvuuguHDx/GJz/5ybIfbC6SGNG1MMwEnC4EMXVdiNEOyLy1Ot9BEcrth4ROBgbeHvuY4dbLPkMn6m//iYgOJLx1gK9BT1pMzwWRHAXaX8iZJVKJmStnpX7MDjLESgWeGLWGQOxfs6TyVaT3bIy2AyVW1VSGG9KwChg5qvNc2PMyfHOAYGtJ54qIaNaYxiGSHTt24Ic//CHWrFmTcf9EUkpMxLgCjM7OTnz2s5/F0aNHEQ6HsWbNGmzZsgUf/ehHAQB33HEHDMPAxo0bEY1GsWHDBtx9990Z+9i7dy/6+/VSRpfLhT179uCBBx5AV1cXGhsbcfbZZ+OZZ57B6tWry3SIRfS8kSfXhFW3ovcNoOmsknalahdAXD5g6ICVEhvWSopWoHaRXimRPSyQ/nz7TeSugTSfBfS8nlkl1Ul1XYwJwKWPIRkDkDbR1F3jlDp39hnpLTnAAKyAqXYRJLjQyYg5mV4LIiIqr6GhIVxzzTX48Y9/jG9/+9vO/f39/bjvvvvw0EMP4YILLgAA3H///Vi5ciWef/75klNKlGJcAcZ9991X8HG/34+77roLd911V95t0tNu+P1+/J//83/G04SykvhwkWqm0KXE40NQnhJTPQfmAoG5uoAWzIx6EuOhPLVA8/t1Hoyu3UCyTEtgxQ4+Ml5tQrtSdrlwIiLKTaEMPRj6n+yUDIXmI15//fX42Mc+hvXr12cEGOVIKVGq2f21M15khcd4t0ujXB6dmnqSbyzlrQUkBsCam1FSMDDO16zJvVqHiIjKoEzTLxYtWoRwOOzcNm/enPPlfvnLX+Kll17K+Xh7e/uEU0qM1+z++qmKJHca73YVk7VSJE8Fz4xt8u4qa3gEkruUOBERTV4Z52AcPHgwI5Nnrt6LgwcP4q//+q/x+OOPw++fXAbRyZrdPRi+euSvj2EzSlp2WVGBtJosyipmlo/hLvBmtnpAJG0ya+NpTK1NRFQF7EKj9i1XgLFz5050dnbife97H9xuN9xuN7Zu3Yo777wTbrcbzc3NTkqJdKWklBivWd2DoQw3pHYxMPhu/o3qFupJjdOpbpFetSGmDh4Md2qliJM8w1r+CiBnIizl1stLxbTqejQAdSfozJtERFQhU1vs7MILL8Tu3bsz7rvuuuuwYsUK/I//8T+waNEiJ6XExo0bAUw8pUQxszrAAACEluiVFiNHkEr1bf1bMx8InTS97QOgPEFI42lA1590u5zy6GnDHYY3LZOnmZaQywCCC3SJdWN2d1gREU25KV6mWldXh1NPPTXjvmAwiMbGRuf+UlJKlMOsDzCUUkDDCkjdQmC4XRcWM3xAsKXklSNTQQXmQlo/CPS/ret5SMLKAOqyloraibb8gC+kl8N66nRlVQ6BEBGRpZSUEuUw6XLtM8FMKNc+nSQR0Tk7XF5dGZWIiPKa0nLtT/1/CNXmrs9U8r6GRjHnI1+tumvcrO/BOB4o9/TOFCYiojymdgrGjHJcBBh2J0x2EhIiIqJs9rXiOOjAn9GOiwBjcFCXMp/2ku1ERFQ1BgcHEQ6HK/siLNde3VpbW3Hw4EHU1dVV3YTGgYEBLFq0aEwCldmI5yKF50LjeUjhudDKcR5EBIODg2htLb0G08TN3jGS4yLAMAwDCxcunO5mTIqdOIV4LtLxXGg8Dyk8F9pkz0PFey5ss7gHg4kRiIiIqOyOix4MIiKiGWkW92AwwJhmPp8Pf/d3f5e35O5swnORwnOh8Tyk8FxoVXceZnGAcVwk2iIiIppJnERbz91ZnkRb536l6hJtcQ4GERERlR2HSIiIiCplFg+RsAeDiIiIyo49GERERJXCHgyqpH379uHSSy/F3LlzEQqFcN555+HJJ590Hv/pT38KpVTOW2dnZ8F9//73v8c555yDQCCAOXPm4LLLLqvw0UxcJc8DAESjUZxxxhlQSmHXrl0VPJLJq8S5ePfdd7Fp0yYsWbIEgUAAJ598Mv7u7/4OsVhsqg5r3Cr1nujp6cE111yDUCiE+vp6bNq0CUNDQ1NxSBNW7FzYfvrTn2LNmjXw+/1oamrC9ddfX3C/7e3t+MxnPoOWlhYEg0G8733vw69//etKHcakVeo8AMC2bdtwwQUXIBgMIhQK4UMf+hBGR0crcRgpdoAx2VsVYoAxBT7+8Y8jkUjgj3/8I3bu3InTTz8dH//4x9He3g4AuOqqq3D06NGM24YNG/DhD38YTU1Neff761//Gp/5zGdw3XXX4ZVXXsFzzz2HP//zP5+qwxq3Sp0H29e//vUpSv07eZU4F3v27IFpmvjhD3+I1157DXfccQfuvfde/M//+T+n8tDGpVLviWuuuQavvfYaHn/8cfzud7/D008/jS984QtTdVgTUuxcAMA///M/42//9m9xyy234LXXXsMf/vAHbNiwoeB+P/vZz2Lv3r34j//4D+zevRtXXHEFPvWpT+Hll1+u9CFNSKXOw7Zt23DxxRfjoosuwgsvvIAdO3bghhtugGHwMlgxQhV17NgxASBPP/20c9/AwIAAkMcffzznczo7O8Xj8ciDDz6Yd7/xeFwWLFgg//qv/1r2NldCpc6D7T//8z9lxYoV8tprrwkAefnll8vV9LKr9LlI973vfU+WLFkyqfZWSqXOw+uvvy4AZMeOHc59jz76qCil5PDhw+U7gDIq5Vz09PRIIBCQP/zhD+PadzAYHHO+Ghoa5Mc//vHkG15mlTwP55xzjnzjG98oa3sL6e/vFwDS+/zdknz1/kndep+/WwBIf3//lLW/HBi6VVhjYyOWL1+OBx98EMPDw0gkEvjhD3+IpqYmrF27NudzHnzwQdTU1ODKK6/Mu9+XXnoJhw8fhmEYOPPMMzF//nxccsklePXVVyt1KJNSqfMAAB0dHfj85z+Pn/3sZ6ipqalE88uqkuciW39/PxoaGsrR7LKr1HnYtm0b6uvrcdZZZzn3rV+/HoZhYPv27WU/jnIo5Vw8/vjjME0Thw8fxsqVK7Fw4UJ86lOfwsGDBwvu+wMf+AD+7d/+DT09PTBNE7/85S8RiUTwkY98ZAqObHwqdR46Ozuxfft2NDU14QMf+ACam5vx4Q9/GM8++2zlD2oWD5GwB2MKHDx4UNauXStKKXG5XDJ//nx56aWX8m6/cuVK+dKXvlRwn7/4xS8EgCxevFh+9atfyYsvviif/vSnpbGxUbq7u8t9CGVRifNgmqZcfPHF8q1vfUtERPbv3z/jezBEKnMusr355psSCoXkRz/60WSbWzGVOA+33367nHLKKWPunzdvntx9992TbnOlFDsXmzdvFo/HI8uXL5fHHntMtm3bJhdeeKEsX75cotFo3v329vbKRRddJADE7XZLKBSSLVu2TMUhTUglzsO2bdsEgDQ0NMhPfvITeemll+TGG28Ur9cr+/btq8hxOD0YL/xQkq8/OKlb7ws/ZA/GbHLLLbfknXxm3/bs2QMRwfXXX4+mpiY888wzeOGFF3DZZZfhE5/4BI4ePTpmv9u2bcMbb7yBTZs2FXx90zQBAH/7t3+LjRs3Yu3atbj//vuhlMLDDz9ckWPOZbrPw7/8y79gcHAQt956a6UOsWTTfS7SHT58GBdffDE++clP4vOf/3w5D7OomXQepls5z4VpmojH47jzzjuxYcMGrFu3Dr/4xS/w5ptv5pwEabvtttvQ19eHP/zhD3jxxRdx880341Of+hR27949Vadh2s+D/Xn5V3/1V7juuutw5pln4o477sDy5cvxk5/8ZMrOw2zDVOETdOzYMXR3dxfc5qSTTsIzzzyDiy66CL29vRkpXpctW4ZNmzbhlltuyXjOpk2b8NJLLxWdgPXkk0/iggsuwDPPPIPzzjvPuf+cc87B+vXrcfvtt0/gqMZvus/DZZddht/+9rdQaV2IyWQSLpcL11xzDR544IEJHNXETPe5sB05cgQf+chHsG7dOvz0pz+d8kls030efvKTn+CrX/0qent7nfsSiQT8fj8efvhhXH755RM4qokp57m4//778bnPfQ4HDx7EwoULnW2am5vx7W9/O2cg+fbbb2Pp0qV49dVXsXr1auf+9evXY+nSpbj33nvLcJTFTfd52L9/P0466ST87Gc/w1/8xV8491911VVwu934+c9/XoajzOSkCn/hR+VJFf7+L1RdqnDmwZigefPmYd68eUW3GxkZAYAxH/KGYThRtW1oaAj//u//js2bNxfd79q1a+Hz+bB3714nwIjH43j33XdxwgknlHoYkzbd5+HOO+/Et7/9befnI0eOYMOGDfi3f/s3nHPOOaUcQtlM97kAdM/F+eef7/RoTccM+ek+D21tbejr68POnTudcfs//vGPME2zqt8T5557LgBg7969zoW1p6cHXV1def/m8+3X5XKNOceVNN3n4cQTT0Rrayv27t2bcf++fftwySWXjO9gxkuhDHkwytKSqTd9ozOzw7Fjx6SxsVGuuOIK2bVrl+zdu1f+5m/+Rjwej+zatStj23/9138Vv98vvb29Y/azfft2Wb58uRw6dMi576//+q9lwYIFsmXLFtmzZ49s2rRJmpqapKenp9KHNW6VPA/pqmEORqXOxaFDh2Tp0qVy4YUXyqFDh+To0aPObSaq5Hvi4osvljPPPFO2b98uzz77rCxbtkw+/elPV/qQJqzUc3HppZfK6tWr5bnnnpPdu3fLxz/+cVm1apXEYjER0e+B5cuXy/bt20VEJBaLydKlS+WDH/ygbN++Xd566y35X//rf4lSSn7/+99Py7EWUqnzICJyxx13SCgUkocffljefPNN+cY3viF+v1/eeuutihyLMwdjx48k+cb/b1K33h0/qso5GAwwpsCOHTvkoosukoaGBqmrq5N169bJf/7nf47Zrq2tTf78z/885z6efPJJASD79+937ovFYvLVr35VmpqapK6uTtavXy+vvvpqpQ5j0ip1HtJVQ4AhUplzcf/99wuAnLeZqlLvie7ubvn0pz8ttbW1EgqF5LrrrpPBwcFKHUZZlHIu+vv75XOf+5zU19dLQ0ODXH755XLgwAHncfv9/+STTzr37du3T6644gppamqSmpoaWbNmzbiXO0+lSp0HET1BdOHChVJTUyNtbW3yzDPPVOw4nADjxX+V5J6HJnXrffFfqzLA4BwMIiKiMnPmYLx4H0K1k1s+PzA0gjlnbaq6ORhcRUJERERlx0meRERElTKLi50xwCAiIqoYA5MfLKjOwYbqbDURERHNaOzBICIiqhQOkRAREVH5laNYGQMMIiIiyqAw+QChOgMMzsEgIiKismMPBhERUaUoQ98mu48qxACDiIioUmbxJM/qDIuIiIhoRmMPBhERUcXM3kmeDDCIiIgqZRbPwajOVhMREdGMxh4MIiKiClFKQU1ykuZknz9dGGAQERFVzOydg8EhEiIiIio79mAQERFVilJlmORZnT0YDDCIiIgqZvYOkTDAICIiqhRm8iQiIiIqH/ZgEBERVcosTrTFAIOIiKhiZu8cjOoMi4iIiGhGYw8GERFRpcziSZ4MMIiIiCplFs/BqM5WExER0YzGHgwiIqKKmb2TPBlgEBERVcosnoPBIRIiIiIqO/ZgEBERVYyByX+Xr86+AAYYRERElTKLh0gYYBAREVXKLA4wqrPfhYiIiGY09mAQERFVzOydg1GdrSYiIqoG9hDJZG8l2rx5M84++2zU1dWhqakJl112Gfbu3ZuxTSQSwfXXX4/GxkbU1tZi48aN6OjoKPeRM8AgIiI6XmzduhXXX389nn/+eTz++OOIx+O46KKLMDw87Gxz00034be//S0efvhhbN26FUeOHMEVV1xR9rYoEZGy75WIiGgWGxgYQDgcRt+bTyBUVzu5fQ0OoX7Zhejv70coFBrXc48dO4ampiZs3boVH/rQh9Df34958+bhoYcewpVXXgkA2LNnD1auXIlt27Zh3bp1k2prOvZgEBERVUoZh0gGBgYybtFotOjL9/f3AwAaGhoAADt37kQ8Hsf69eudbVasWIHFixdj27ZtZT10BhhERERVYNGiRQiHw85t8+bNBbc3TRM33ngjzj33XJx66qkAgPb2dni9XtTX12ds29zcjPb29rK2l6tIiIiIKqZ8xc4OHjyYMUTi8/kKPuv666/Hq6++imeffXaSrz8xDDCIiIgqpYyJtkKhUMlzMG644Qb87ne/w9NPP42FCxc697e0tCAWi6Gvry+jF6OjowMtLS2Ta2cWDpEQEREdJ0QEN9xwAx555BH88Y9/xJIlSzIeX7t2LTweD5544gnnvr179+LAgQNoa2sra1vYg0FERFQxU5to6/rrr8dDDz2E//t//y/q6uqceRXhcBiBQADhcBibNm3CzTffjIaGBoRCIXz5y19GW1tbWVeQAAwwiIiIKmeKa5Hcc889AICPfOQjGffff//9+Mu//EsAwB133AHDMLBx40ZEo1Fs2LABd9999+TamAPzYBAREZWZkwfjnWfLkwfjpPMmlAdjOnEOBhEREZUdh0iIiIgqZRaXa2eAQUREVDHly4NRbThEQkRERGXHHgwiIqKKKcMQSZX2YDDAICIiqhgOkRARERGVDXswiIiIKoWrSIiIiKj8pjZV+ExSna0mIiKiGY09GERERJXCIRIiIiIqv9m7ioQBBhERUcXM3gCDczCIiIio7NiDQUREVCF6CsbkeiCqdAoGAwwiIqLK4RAJERERUdmwB4OIiKhSuEyViIiIyo9DJERERERlwx4MIiKiSlGGvk12H1WIAQYREVHFcIiEiIiIqGzYg0FERFQpXEVCRERE5Td7h0gYYBAREVXKLO7B4BwMIiIiKjv2YBAREVUMh0iIiIio3DhEQkRERFQ+7MEgIiKqGA6REBERUbnN4lTh1dlqIiIimtHYg0FERFQxHCIhIiKicuMqEiIiIqLyYQ8GERFRhQwMDGGyQxx6H9WHAQYREVGZeb1etLS0YNGyNWXZX0tLC7xeb1n2NVWUiMh0N4KIiOh4E4lEEIvFyrIvr9cLv99fln1NFQYYREREVHac5ElERERlxwCDiIiIyo4BBhEREZUdAwwiIiIqOwYYREREVHYMMIiIiKjsGGAQERFR2f3/ATzZ66Ti3v9iAAAAAElFTkSuQmCC", "text/plain": [ "
" ] @@ -2978,17 +3166,15 @@ { "cell_type": "code", "execution_count": 41, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" - ] + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:41:58.768383Z", + "iopub.status.busy": "2024-08-16T20:41:58.768040Z", + "iopub.status.idle": "2024-08-16T20:42:05.968289Z", + "shell.execute_reply": "2024-08-16T20:42:05.967664Z" } - ], + }, + "outputs": [], "source": [ "# look at Dissolved oxygen (DO), but this time without intermediate fields\n", "df = harmonize.harmonize(df, 'Dissolved oxygen (DO)')" @@ -3004,7 +3190,14 @@ { "cell_type": "code", "execution_count": 42, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:05.971101Z", + "iopub.status.busy": "2024-08-16T20:42:05.970890Z", + "iopub.status.idle": "2024-08-16T20:42:06.353025Z", + "shell.execute_reply": "2024-08-16T20:42:06.352420Z" + } + }, "outputs": [ { "data": { @@ -3044,7 +3237,15 @@ " 6.64 milligram / liter\n", " \n", " \n", - " 19\n", + " 13\n", + " 21FLNUTT_WQX-PB02\n", + " 8.11\n", + " mg/L\n", + " NaN\n", + " 8.11 milligram / liter\n", + " \n", + " \n", + " 21\n", " 21FLCBA_WQX-SRS03\n", " 6.28\n", " mg/L\n", @@ -3052,7 +3253,7 @@ " 6.28 milligram / liter\n", " \n", " \n", - " 20\n", + " 22\n", " 21FLPNS_WQX-33020K20\n", " 4.53\n", " mg/L\n", @@ -3060,7 +3261,7 @@ " 4.53 milligram / liter\n", " \n", " \n", - " 24\n", + " 26\n", " 21FLPNS_WQX-33030019\n", " 9.32\n", " mg/L\n", @@ -3068,14 +3269,6 @@ " 9.32 milligram / liter\n", " \n", " \n", - " 27\n", - " 21FLCMP_WQX-3201BM21\n", - " 4.5\n", - " mg/L\n", - " NaN\n", - " 4.5 milligram / liter\n", - " \n", - " \n", " ...\n", " ...\n", " ...\n", @@ -3084,78 +3277,78 @@ " ...\n", " \n", " \n", - " 384397\n", - " 21AWIC-1152\n", - " 8.89\n", + " 398015\n", + " 21AWIC-7290\n", + " 1.0486\n", " mg/L\n", " NaN\n", - " 8.89 milligram / liter\n", + " 1.0486 milligram / liter\n", " \n", " \n", - " 384398\n", - " 21FLPNS_WQX-G4NW0035\n", - " 8.64\n", + " 398017\n", + " 21AWIC-7290\n", + " 8.6995\n", " mg/L\n", " NaN\n", - " 8.64 milligram / liter\n", + " 8.6995 milligram / liter\n", " \n", " \n", - " 384400\n", - " 21FLPNS_WQX-G4NW0508\n", - " 7.97\n", + " 398018\n", + " 21AWIC-1208\n", + " 7.3825\n", " mg/L\n", " NaN\n", - " 7.97 milligram / liter\n", + " 7.3825 milligram / liter\n", " \n", " \n", - " 384410\n", - " 21FLPNS_WQX-G5NW0068\n", - " 9.13\n", + " 398020\n", + " 21AWIC-9768\n", + " 8.1132\n", " mg/L\n", " NaN\n", - " 9.13 milligram / liter\n", + " 8.1132 milligram / liter\n", " \n", " \n", - " 384412\n", - " 21FLPNS_WQX-G4NW0509\n", - " 8.02\n", + " 398023\n", + " 21AWIC-1122\n", + " 8.261\n", " mg/L\n", " NaN\n", - " 8.02 milligram / liter\n", + " 8.261 milligram / liter\n", " \n", " \n", "\n", - "

62058 rows × 5 columns

\n", + "

62642 rows × 5 columns

\n", "" ], "text/plain": [ " MonitoringLocationIdentifier ResultMeasureValue \\\n", "7 21FLPNS_WQX-33030D71 6.64 \n", - "19 21FLCBA_WQX-SRS03 6.28 \n", - "20 21FLPNS_WQX-33020K20 4.53 \n", - "24 21FLPNS_WQX-33030019 9.32 \n", - "27 21FLCMP_WQX-3201BM21 4.5 \n", + "13 21FLNUTT_WQX-PB02 8.11 \n", + "21 21FLCBA_WQX-SRS03 6.28 \n", + "22 21FLPNS_WQX-33020K20 4.53 \n", + "26 21FLPNS_WQX-33030019 9.32 \n", "... ... ... \n", - "384397 21AWIC-1152 8.89 \n", - "384398 21FLPNS_WQX-G4NW0035 8.64 \n", - "384400 21FLPNS_WQX-G4NW0508 7.97 \n", - "384410 21FLPNS_WQX-G5NW0068 9.13 \n", - "384412 21FLPNS_WQX-G4NW0509 8.02 \n", - "\n", - " ResultMeasure/MeasureUnitCode QA_flag DO \n", - "7 mg/L NaN 6.64 milligram / liter \n", - "19 mg/L NaN 6.28 milligram / liter \n", - "20 mg/L NaN 4.53 milligram / liter \n", - "24 mg/L NaN 9.32 milligram / liter \n", - "27 mg/L NaN 4.5 milligram / liter \n", - "... ... ... ... \n", - "384397 mg/L NaN 8.89 milligram / liter \n", - "384398 mg/L NaN 8.64 milligram / liter \n", - "384400 mg/L NaN 7.97 milligram / liter \n", - "384410 mg/L NaN 9.13 milligram / liter \n", - "384412 mg/L NaN 8.02 milligram / liter \n", - "\n", - "[62058 rows x 5 columns]" + "398015 21AWIC-7290 1.0486 \n", + "398017 21AWIC-7290 8.6995 \n", + "398018 21AWIC-1208 7.3825 \n", + "398020 21AWIC-9768 8.1132 \n", + "398023 21AWIC-1122 8.261 \n", + "\n", + " ResultMeasure/MeasureUnitCode QA_flag DO \n", + "7 mg/L NaN 6.64 milligram / liter \n", + "13 mg/L NaN 8.11 milligram / liter \n", + "21 mg/L NaN 6.28 milligram / liter \n", + "22 mg/L NaN 4.53 milligram / liter \n", + "26 mg/L NaN 9.32 milligram / liter \n", + "... ... ... ... \n", + "398015 mg/L NaN 1.0486 milligram / liter \n", + "398017 mg/L NaN 8.6995 milligram / liter \n", + "398018 mg/L NaN 7.3825 milligram / liter \n", + "398020 mg/L NaN 8.1132 milligram / liter \n", + "398023 mg/L NaN 8.261 milligram / liter \n", + "\n", + "[62642 rows x 5 columns]" ] }, "execution_count": 42, @@ -3173,7 +3366,14 @@ { "cell_type": "code", "execution_count": 43, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:06.355421Z", + "iopub.status.busy": "2024-08-16T20:42:06.354969Z", + "iopub.status.idle": "2024-08-16T20:42:06.369446Z", + "shell.execute_reply": "2024-08-16T20:42:06.368873Z" + } + }, "outputs": [ { "data": { @@ -3213,7 +3413,15 @@ " 6.64 milligram / liter\n", " \n", " \n", - " 19\n", + " 13\n", + " 21FLNUTT_WQX-PB02\n", + " 8.11\n", + " mg/L\n", + " NaN\n", + " 8.11 milligram / liter\n", + " \n", + " \n", + " 21\n", " 21FLCBA_WQX-SRS03\n", " 6.28\n", " mg/L\n", @@ -3221,7 +3429,7 @@ " 6.28 milligram / liter\n", " \n", " \n", - " 20\n", + " 22\n", " 21FLPNS_WQX-33020K20\n", " 4.53\n", " mg/L\n", @@ -3229,7 +3437,7 @@ " 4.53 milligram / liter\n", " \n", " \n", - " 24\n", + " 26\n", " 21FLPNS_WQX-33030019\n", " 9.32\n", " mg/L\n", @@ -3237,14 +3445,6 @@ " 9.32 milligram / liter\n", " \n", " \n", - " 27\n", - " 21FLCMP_WQX-3201BM21\n", - " 4.5\n", - " mg/L\n", - " NaN\n", - " 4.5 milligram / liter\n", - " \n", - " \n", " ...\n", " ...\n", " ...\n", @@ -3253,78 +3453,78 @@ " ...\n", " \n", " \n", - " 384397\n", - " 21AWIC-1152\n", - " 8.89\n", + " 398015\n", + " 21AWIC-7290\n", + " 1.0486\n", " mg/L\n", " NaN\n", - " 8.89 milligram / liter\n", + " 1.0486 milligram / liter\n", " \n", " \n", - " 384398\n", - " 21FLPNS_WQX-G4NW0035\n", - " 8.64\n", + " 398017\n", + " 21AWIC-7290\n", + " 8.6995\n", " mg/L\n", " NaN\n", - " 8.64 milligram / liter\n", + " 8.6995 milligram / liter\n", " \n", " \n", - " 384400\n", - " 21FLPNS_WQX-G4NW0508\n", - " 7.97\n", + " 398018\n", + " 21AWIC-1208\n", + " 7.3825\n", " mg/L\n", " NaN\n", - " 7.97 milligram / liter\n", + " 7.3825 milligram / liter\n", " \n", " \n", - " 384410\n", - " 21FLPNS_WQX-G5NW0068\n", - " 9.13\n", + " 398020\n", + " 21AWIC-9768\n", + " 8.1132\n", " mg/L\n", " NaN\n", - " 9.13 milligram / liter\n", + " 8.1132 milligram / liter\n", " \n", " \n", - " 384412\n", - " 21FLPNS_WQX-G4NW0509\n", - " 8.02\n", + " 398023\n", + " 21AWIC-1122\n", + " 8.261\n", " mg/L\n", " NaN\n", - " 8.02 milligram / liter\n", + " 8.261 milligram / liter\n", " \n", " \n", "\n", - "

38980 rows × 5 columns

\n", + "

39564 rows × 5 columns

\n", "" ], "text/plain": [ " MonitoringLocationIdentifier ResultMeasureValue \\\n", "7 21FLPNS_WQX-33030D71 6.64 \n", - "19 21FLCBA_WQX-SRS03 6.28 \n", - "20 21FLPNS_WQX-33020K20 4.53 \n", - "24 21FLPNS_WQX-33030019 9.32 \n", - "27 21FLCMP_WQX-3201BM21 4.5 \n", + "13 21FLNUTT_WQX-PB02 8.11 \n", + "21 21FLCBA_WQX-SRS03 6.28 \n", + "22 21FLPNS_WQX-33020K20 4.53 \n", + "26 21FLPNS_WQX-33030019 9.32 \n", "... ... ... \n", - "384397 21AWIC-1152 8.89 \n", - "384398 21FLPNS_WQX-G4NW0035 8.64 \n", - "384400 21FLPNS_WQX-G4NW0508 7.97 \n", - "384410 21FLPNS_WQX-G5NW0068 9.13 \n", - "384412 21FLPNS_WQX-G4NW0509 8.02 \n", - "\n", - " ResultMeasure/MeasureUnitCode QA_flag DO \n", - "7 mg/L NaN 6.64 milligram / liter \n", - "19 mg/L NaN 6.28 milligram / liter \n", - "20 mg/L NaN 4.53 milligram / liter \n", - "24 mg/L NaN 9.32 milligram / liter \n", - "27 mg/L NaN 4.5 milligram / liter \n", - "... ... ... ... \n", - "384397 mg/L NaN 8.89 milligram / liter \n", - "384398 mg/L NaN 8.64 milligram / liter \n", - "384400 mg/L NaN 7.97 milligram / liter \n", - "384410 mg/L NaN 9.13 milligram / liter \n", - "384412 mg/L NaN 8.02 milligram / liter \n", - "\n", - "[38980 rows x 5 columns]" + "398015 21AWIC-7290 1.0486 \n", + "398017 21AWIC-7290 8.6995 \n", + "398018 21AWIC-1208 7.3825 \n", + "398020 21AWIC-9768 8.1132 \n", + "398023 21AWIC-1122 8.261 \n", + "\n", + " ResultMeasure/MeasureUnitCode QA_flag DO \n", + "7 mg/L NaN 6.64 milligram / liter \n", + "13 mg/L NaN 8.11 milligram / liter \n", + "21 mg/L NaN 6.28 milligram / liter \n", + "22 mg/L NaN 4.53 milligram / liter \n", + "26 mg/L NaN 9.32 milligram / liter \n", + "... ... ... ... \n", + "398015 mg/L NaN 1.0486 milligram / liter \n", + "398017 mg/L NaN 8.6995 milligram / liter \n", + "398018 mg/L NaN 7.3825 milligram / liter \n", + "398020 mg/L NaN 8.1132 milligram / liter \n", + "398023 mg/L NaN 8.261 milligram / liter \n", + "\n", + "[39564 rows x 5 columns]" ] }, "execution_count": 43, @@ -3346,7 +3546,14 @@ { "cell_type": "code", "execution_count": 44, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:06.371701Z", + "iopub.status.busy": "2024-08-16T20:42:06.371367Z", + "iopub.status.idle": "2024-08-16T20:42:06.419390Z", + "shell.execute_reply": "2024-08-16T20:42:06.418838Z" + } + }, "outputs": [ { "data": { @@ -3412,38 +3619,38 @@ " ...\n", " \n", " \n", - " 1845\n", + " 1855\n", " UWFCEDB_WQX-SRC-AI31-22\n", " 20\n", " 3.723390\n", " \n", " \n", - " 1846\n", + " 1856\n", " UWFCEDB_WQX-SRC-AI36-22\n", " 20\n", " 3.513705\n", " \n", " \n", - " 1847\n", + " 1857\n", " UWFCEDB_WQX-SRC-AI42-22\n", " 20\n", " 3.677337\n", " \n", " \n", - " 1848\n", + " 1858\n", " UWFCEDB_WQX-SRC-AI44-22\n", " 20\n", " 3.658370\n", " \n", " \n", - " 1849\n", + " 1859\n", " UWFCEDB_WQX-SRC-AK41-22\n", " 16\n", " 2.706512\n", " \n", " \n", "\n", - "

1850 rows × 3 columns

\n", + "

1860 rows × 3 columns

\n", "" ], "text/plain": [ @@ -3454,13 +3661,13 @@ "3 11NPSWRD_WQX-GUIS_BOPI 1 7.540000\n", "4 11NPSWRD_WQX-GUIS_FPPO 1 9.950000\n", "... ... ... ...\n", - "1845 UWFCEDB_WQX-SRC-AI31-22 20 3.723390\n", - "1846 UWFCEDB_WQX-SRC-AI36-22 20 3.513705\n", - "1847 UWFCEDB_WQX-SRC-AI42-22 20 3.677337\n", - "1848 UWFCEDB_WQX-SRC-AI44-22 20 3.658370\n", - "1849 UWFCEDB_WQX-SRC-AK41-22 16 2.706512\n", + "1855 UWFCEDB_WQX-SRC-AI31-22 20 3.723390\n", + "1856 UWFCEDB_WQX-SRC-AI36-22 20 3.513705\n", + "1857 UWFCEDB_WQX-SRC-AI42-22 20 3.677337\n", + "1858 UWFCEDB_WQX-SRC-AI44-22 20 3.658370\n", + "1859 UWFCEDB_WQX-SRC-AK41-22 16 2.706512\n", "\n", - "[1850 rows x 3 columns]" + "[1860 rows x 3 columns]" ] }, "execution_count": 44, @@ -3476,7 +3683,14 @@ { "cell_type": "code", "execution_count": 45, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:06.421699Z", + "iopub.status.busy": "2024-08-16T20:42:06.421355Z", + "iopub.status.idle": "2024-08-16T20:42:06.653033Z", + "shell.execute_reply": "2024-08-16T20:42:06.652435Z" + } + }, "outputs": [ { "data": { @@ -3490,7 +3704,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -3508,7 +3722,14 @@ { "cell_type": "code", "execution_count": 46, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:06.655516Z", + "iopub.status.busy": "2024-08-16T20:42:06.655160Z", + "iopub.status.idle": "2024-08-16T20:42:06.925409Z", + "shell.execute_reply": "2024-08-16T20:42:06.924854Z" + } + }, "outputs": [ { "data": { @@ -3522,7 +3743,7 @@ }, { "data": { - "image/png": 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s2DGsW7cO+/fvx8aNG11f/973vhderxff+ta3Zr0PsVgM0WgU4+PjiEQu8jn1NOdk7AQQH6rwyRLQvUBkNTB1yr28teYFIishdF99d7RBZOx1s45DmY8S3WcWjKpQ62UQwUU17RuRm7loM6z3+O17fh+tvtryeSaSaaz816ebqo2bdTiTyWTwne98B1NTU+jr68Phw4eRSqWwefNm+zlr167F8uXLsX//ftdtGIaBH/7wh7jiiiuwZcsWdHd347rrrsP3v//9ku+dSCQQi8VybkTzpqWn8ucKoXIhxvqLr4thpEoXVWo2/jaU71XQzM6HEs+TMnsDgOkB9j7QBc8qElXrrdlUHTw899xzCIfD8Pv9+Iu/+As89thjuPLKKzEwMACfz4e2trac5/f09GBgYMB1W0NDQ5icnMT999+Pm266Cf/3//5f3H777di6dSv27dtXdB927tyJaDRq35YtW1btYRDVT9U9BCIbRBSTnoJMx2varTnji6jZJ6W09KiRDXsRLAcpVc5EalLN0EhNqIJSqcniSZhEFwpN1OfWZKoOHtasWYMjR47g4MGD+PCHP4w777wTL7zwwqze3DALx9x66624++678aY3vQmf+MQn8M53vhNf+tKXir7u3nvvxfj4uH07efLkrN6fqB6EEIAeLP4EadYwyCTMW1z1LpTLbcjM1HdHG0QIAXSsUyW6cx9RX1p6gehKILw0t8CW1cuQnjYTLh1BhVW1c8r9woOI5lfVAzE+nw+rVq0CAGzYsAGHDh3CF77wBdxxxx1IJpMYGxvL6X0YHBxEb697id5FixbB4/HgyiuvzLl/3bp1+PnPf150H/x+P/x+f7W7TtQ4LT3AxGuF90tDBQq5d5r3CUD6SiRZ5t4vEzEg9luVoCg0VYApvFz9P34eyCRV4magfc4TrIQnANl1jarpMHNO9Rh4WlTg4IuoACO0BNIXBaYG1aJiIqOChmLLdUsJjL8MGexilU66cNWhwmTNS3o3QM1VWQzDQCKRwIYNG+D1evHkk09i27ZtAID+/n6cOHECfX19rq/1+Xy49tpr0d/fn3P/Sy+9hEsvvbTWXSOaO4FO1agnRrL3yXJVEyWQjgPeIr0W3uxQgBx5EZh4PffxsZeB8eOqkqPzql3okJGVEKEqcjHqQGg6EOpVt2LP8YaAtpVqyuq5X6uAp9iKpNYQx2g/0PXGBu45UeNwYSyo4YKbb74Zy5cvx8TEBHbv3o2nnnoKe/fuRTQaxfbt23HPPfego6MDkUgEd911F/r6+nJmWqxduxY7d+7E7bffDgD4m7/5G9xxxx1461vfire//e348Y9/jMcffxxPPfVUXQ+UqJGEEJCRFcC4ASTHzHsrmJ4oU4AMFDaevjYIzaueMnGyMHAQuupx0HyqdyOn3HNGXbELAdHSnMuBC6FBtq0Ehg6Xr56XGIWUsik/QIkuVlUFD0NDQ/jgBz+Is2fPIhqNYv369di7dy/e8Y53AAAeeOABaJqGbdu2IZFIYMuWLXjooYdyttHf34/x8XH7+9tvvx1f+tKXsHPnTvzlX/4l1qxZg+9973u4/vrr63B4RHNHCAG0rYKcOAHMDBVZQMuFkVbTNy2eEBC+JPv9+KvZ/+t+NZWzEuO/VV3+zdroelsre57MqFuxip5ETWyhrm1Rc52HZsA6D9RsZCYNnH/WJd/Bhe4HPGHA2wL42wFv2G7wZSYJnPoP9TxPMLtmhuufbf59QtWLaOI1NeSZX6i8h1KfjVICPRshfGVmdBBVaC7rPLx+52ZEaqzzEEumcek3ftJUbRxDeaIGELpHDWOMvVTBszXVgLZfUZjoaAUfwuMoe221tNYKlZq6S8q8qY0SmDgBOTMIRC6H8DfHh06O8CWqZ0WicPjCCpCErlYnlQakFoTWxWW76cIhtNp7DpqwwCQXxiJqFBHsKt/VrnnNRtMAEuOFj+t+1XjqXgCauX6Gle/gMf8vYAcRmk89xyJTKgAZ74dMTdTx6Oqk9VK1zxCFRaIs3pB5DnwQMgFj8PC87CoRZTF4IGqkzvUo+mcm9NzgYuZ84VM0D+DvMEs7i+yQRak8BqE73lNmp0LGXi/2inkjhAB6fkcFSU5WAOENZY8dAIQOAYOVJ+nCIep0azIMHogaSHiDQOtKR4+A2Xug+837HJ8K6UnI0ZcgjbxEy5Zu2FUpK6U5ghKrkmVmBnJ6eLaH0jDCEwQW9wEdV0MKjzovniAQaDenoTqfLADNCzl4aH52lqhaVtBf663JMHggajRfSDXmuh/wBLJDEQUfCBJITwGTeRVTk+M1fng4rtKnT0Ge/3XzLXudSagprt4Q4GvNDlW4acIPUqKLDYMHokbzhiqcXikASCAxAplxVF0stoBWRdtzfrX+L9Q0ztT0LLdbXzKTVJUzqzlOxg90gVigHQ+cbUHUaEIIyPAy1UCWfzYAQI78RjWq8EJ4fZVN+SyyLWjWFbyW/RSSEogdBzqvmsV262zmXLYmRioOBMrUf5Cy/CKeRM2iHgtbNWGdBwYPRHPBE4Dds2B/LU4AgO4BMknIVGp2Vx5CmG9jdjA68yCEAGQGMpOCcBSokmlzdUsp1XCLHmhokSkpJZAYzd4RiKiiWUJzv9ySal0Q0bOhYftEROUxeCCaC8mY+iq0IgWe8pnP0b0QEpAyne2pt4OCEtuxZlhYfZ6ar3CyuBDAzCCkHlCzPiaOm5UczXeaNAApIcOXAC1LGhRE5JbwFkJAJmcg/C3Zu50zTGQGUvigFcuHIGoy9Rh24LAF0cXKChiqmmJo9lAIQEA3u/ZlzkPu7+WySqV9NZ+XqBk/79iv/Cmg5qfexEkgNQ0ZXVX3AEIIDVLoOfssghHI+BSga2qqKgQgDVW107cYWsfyuu4DUWPVI2mh+aIHBg9Ec8Gacli0tHQZQqiGXzqv1KUjF8IRTQjNLD5lXp1Lw1wfwqw+qVtDKHnbt3dLOu6Targjfg4IdgH+tur3vZxAh8p7cO5OwCxFbZ2rtjXQvC31f28imhXOtiCaC96wuQJmpYFDXteClI6eB6uapI5sEGA+V/MCnhY1DKHq4qogQvPB/nPPxM39yKsnYVWqzL9PmO83PVjx4VYlsMjcPxdCAMFFEAwc6EKl1enWZJpwl4gWHiEEEL2sMO/AlaN3QUpV5MlIm1/N/2fSQH4xKav4lHpD55urr87popl4qb3N2x0zYMk0Zmqn0DxAdCXgi+Y9oAMtvUDL4oa8L9FcEELU5dZsOGxBNEeEpwWyfY3qoo+PuOQmWDMxzP9bgYNrcoNZdtrZQaF5i5eutpMOrfyC2QydNO7jQmheoHU5pJE2AxsN8ASb8kOTqCoLNGOSwQPRHBK6HwgvBcJLVSGo8ZdV2WhYYYOzNyF3JkIhR26C2njpDxkhAGi5MyoqJTNAcFF1rym2KSNlBk8G4G2F8IWzu6h5AC1c4tVE1AwYPBDNE6HrQMdayNQ0ROx1SGNG3W89oaL8iPI1I2w5Mz7UDAb3YRSXXAvNBwS6K3ufom9vAGOvABMn4AySpC8KdF4N4Q3VtH2iZrRAOx4YPBDNN+FtATrXQQAwBo5A6hkVEkhZZoJWflJlBkCZ3gdpqMeNFJBKqKEOzQ+7Mc8f9rBmarRfCQhNDStAAEZCPa77ISqouSAzSWDkBSAzA3hbVCnqTFK9fyYBnPsVZOd6CH+k7LaILiisMElEjab1vknVM5g4DpEZRm4eRBlGCvAU+ZO2eh2MNAAjWw7aSGVX3bQJQPeqr0ZKNe4jR83FvTzmTI7suhnS3wYEeyCKJIPK+DAw8Zo57dNM2hRCJXxmUgBSatujRyGD3UBkRdFtEVFzYPBA1GSE7gHaVkMODKN04CDzQgtDNfS6P7cHwQ4ckma9BytYKLZtqXoFPEFAD2ZncOg+l7LRZnnpdByy9bKCBEeZmlSBA5B9XXIKSM/kvqWRAhJmICMNoG11ieMmuoC4zICe1TaaDIMHoqalmYWdig2aCoj8Wg0yDaQNQPNCQoeAzA4RFORGlPlEyiTMWhKa6nHQSgxPZGbU0uH5RaSmB/KelywMHJxSU0B8GDLRBdGIglREc6weUy2bcdYR+waJmlVLt7oil0aR8tYCgNm455FGGsJIma93m7VRwYeRNMyXGep9yiVwOhe4grnoVXI89zmpEoGDJR0Hxl8xVxUlombE4IGoWYWXmXUZ0qr3wEiZQw4iO3xgVX8UHsdNc1ypmGWt9WBenYYKr2SEpp5byfROo4LG3khX9hxpFPZaEF2IRJ1uTYbBA1GTEpoOdF2TXUpbGtnZEhVtQCBnnphmJkFW/WcvVGCQnARS02ZegksvRN6sCyGEuY5Gtcz9nTmnei+ILmBCE3W5NRvmPFBdyExSVU5MjJrFf8JASzeElwV/aiG8IciePmBmSN1SlZaIdlv4SqreB7dVN103oWdfJwHIlOoVSE2pZEpPC6A5AhG3HIVgDzD5evZ73adyKUrRrWApA3vIhIiaCoMHqplMTgBj/dnpf4AqMRw/DxleChFaMn87twAITQNCveoGQJ5/TiUoVr0hkfszKseZICmEqgeh+VROgpX06A2ZvRsewNdeuI1AJ5CMAYkR8/nBCoIHv7UDYOcoXfAW6GwL/mVSTaSRAcZeKmyUpLk2w8RJyOmh+dm5har9yoIhglx1KGlnTcsEYK+2aQ0heMyhiPSM+rnrAaD1MjXMkr8nQgCRFYCw6jvoqleqGF9r9n2Di5oyy5yoKs7hw1puTYbBA9Umfj63G9wqZyzT2dv4y5DDz6s1DahmQtchuje4rDVhNvLFPmiKLZpV+A5wL1vtYC2hbSSB0FIIvciS2jADCE9QvX/GTLz0BM0cDHPZcM0LeELZ/A6hAyGupkkXvgUaOzB4oBolY7nfW+WMC543Dpz/teqpoPpoWWzOtLBuZT5lhMg2zqW49Wrkb9tO4pRqFkgJMjUFpGLmsEk6u6aG7lPDGJ6g2dMBlYzpaQE6rlSLiBFRU6oqeHj44Yexfv16RCIRRCIR9PX14Uc/+pH9eDwex44dO9DZ2YlwOIxt27ZhcHCw5Db/5E/+pGDd8ptuuml2R0PzS0ogv2iRUyYBTJ2es91Z8Iwq8hcsml7BkEeRjwVr2MIZRAg9W3K6GKv+Q6bYUuBmUCM8gARE59UQnmDpbRJdKKy1LWq9NZmqgoelS5fi/vvvx+HDh/HMM89g06ZNuPXWW3H06FEAwN13343HH38ce/bswb59+3DmzBls3bq17HZvuukmnD171r59+9vfnt3R0Nzztmb/X0ky3nTpYJKq4AlWvKAmgGyj7/FB2tM2nY+bgYBW5GMhp9y1VEGGr7XkkIV6vqHeS+bXeDCncnpb1DCI7gO8AciRY+YCXEQXPoE6DFvM90G4qCp4uOWWW/Cf/tN/wurVq3HFFVfgvvvuQzgcxoEDBzA+Po5HHnkE//zP/4xNmzZhw4YN2LVrF/7f//t/OHDgQMnt+v1+9Pb22rf2dpesbWpOwUWOK9UKggcjxbn7dSI0Tc12qPR8Op4ndA+k7lPBgvVVsxa8KrI9Z8+DkTKn41aQl6AH3LfpCeQmZVrBSWYGGHtZLeFNRFVpxAiBm1nnPGQyGXznO9/B1NQU+vr6cPjwYaRSKWzevNl+ztq1a7F8+XLs37+/5LaeeuopdHd3Y82aNfjwhz+M4eHhks9PJBKIxWI5N5ofQvMA0dWofD6SBMb6ISutNUClta1WPQbW7BZLsYDCGUAIoXoZ7K85Tyx8rRVYSAPwtAJtqyG8ofL7GOhAwe+G5kHJ5M5MvKDcNdEFaY4zJhs1QpCv6joPzz33HPr6+hCPxxEOh/HYY4/hyiuvxJEjR+Dz+dDW1pbz/J6eHgwMFC8ze9NNN2Hr1q1YsWIFXn31Vfzt3/4tbr75Zuzfvx+67j42u3PnTnz2s5+tdtepQYQ/CrloPTB6DEhNlnmyrp4zcRKIXDYn+7eQCc2jzn3st9nk1XI9EaUedwsgJJAtMqUD0SsAX7jiaZRC80C2XgqMvZxNpi2XJwEA8RFVJ4LoAlaP2RLW6/MvlP1+P/z+3MTiW265Jef7++67Dw8//DAOHDiApUuX4pFHHsHu3buxadMmAMCuXbuwbt06HDhwABs3bqx4n6rueVizZg2OHDmCgwcP4sMf/jDuvPNOvPDCC9Vuxvbe974X73rXu/CGN7wBt912G37wgx/g0KFDeOqpp4q+5t5778X4+Lh9O3ny5Kzfn+pD6H6g46oyyXjIPh4/z6mbdSI0D0TbFYAnnC3AVO7Tyrn2Rdk3gOptMNJAoBPC31p1/QURXAR0XFlkH4pg3gNRjmXLliEajdq3nTt3lnx+PUcI8lXd8+Dz+bBq1SoAwIYNG3Do0CF84QtfwB133IFkMomxsbGc3ofBwUH09vZWvP2VK1di0aJFeOWVV3DDDTe4Psct2qL5JzQPZOd6YPg5l+Q4qKtNZ4ORmgT8zG+plTQMYGZQ1dzQvDC7Csq/0OpNqJTQVGnq2ZqJZ9/TTrossZ+OREyZnAAmXlPDGdBUj0R4ucr7IGpm9ZgtYb7+5MmTiEQi9t3F2sF6jxC4qbk8tWEYSCQS2LBhA7xeL5588kls27YNANDf348TJ06gr6+v4u2dOnUKw8PDWLyYBWIuSAIqc16K7OwLIaCKAeX9ATFvsmZy5hwQO66+cQZn1gyHSnogKgkg7GGL6htraRjA0DMADDUdUxPZWg+lBFQRLDnaDyTy8qCmzwDTZyE73gDh4/op1MTqOG5hJUGWY40QjI+P47vf/S7uvPNO7Nu3r7Z9yFNV8HDvvffi5ptvxvLlyzExMYHdu3fjqaeewt69exGNRrF9+3bcc8896OjoQCQSwV133YW+vr6ccZS1a9di586duP322zE5OYnPfvaz2LZtG3p7e/Hqq6/i4x//OFatWoUtW7bU9UCp8aRZjjobLJRpHCpJtqOiZGJM5TpYOQkFH1AV9kBUSqDiHARpGKqmR2JE7YfHZw59mLUehLl/1r7n87YCvgjkxInCwCH7LsDIc5BdvwtRJD+K6GLU6BECoMrgYWhoCB/84Adx9uxZRKNRrF+/Hnv37sU73vEOAMADDzwATdOwbds2JBIJbNmyBQ899FDONvr7+zE+Pg4A0HUdv/nNb/CNb3wDY2NjWLJkCW688Ub8/d//PYclLkTpadWtLITqeSjVteBvK18fgEqLvVa88bWUKkld9ZRZ4VIS222zEhh/WU25zHl/Aehec0lv8yY0QDp7pTT1HqHFEEJATp0p927AyG8gO9+gZv4QNZl6JkzOVr1HCIAqg4dHHnmk5OOBQAAPPvggHnzwwaLPcc7xDwaD2Lt3bzW7QM0sE8/+X+jueQ+AajDCl87NPi1Q0jBUcmTZT5USvQ9CqCqVAu7VI3M2o4IAUcmwxcxQdtXPnGqU5v81HcgYsKd9yozax5bFQHiJvcCWTCdQUe2QzAwQexVoW1P+uURzbY6jh3qMEFSCoTrVj7NhEQLq18vIrTwpNHXlOX0WaF0+13u4cBip2j6QDGvxMqtnQFQwzNRa+nHLzFD5Hg+hZadtOqaB5q7MWUUtkGQMMjUN4W2p/DVEc0BUMIJbyTYqVY8RgkoweKD68UZgXsaq74UAkL+WggboHiAxBukJAoEOiHLTO6mQ5i2/Sqbdy5eXPGmkchezsp4mPOpnVWwGQ6CCIYvEuJpiWW6BLli9Ho73yp95owXKvp+5QfUlMapKXRNdxOoxQlAJBg9UN0LTIYOLgJlzbo8WFgaKDwPxUcjwUl4xVkloGqTmKd1Quw0ZGOniq2Daw0xFgoeJ45D+DtfpkXLmHDD+qupN8ARRMlHTGdRI2M8VvtzFsISmQfqiakXWkjRzGyxnTU2oGZIeGoDBA9VXy2Igk1Qf+M6EPCs50tmIZZLq6nP0RUh/GxC+rHzWvL0EtFRTQpvwj6pa0kirgCs1qY7PHwWCXeXzC1ouASZfr/BNzJ9FucJcMg1IT+F5tb6fOlUw3CSnh1SCpH1HBdNE7aEsMyfDWyTTu20NcO6w+zLvAADN7CmRgO6+EqeMj6qZH5mk+RIP0NIL0dJdfP+I6sXsaKt5G02GwQPVlRACMrwUODeUHa6wsuCtse30DGAksy+SUI3nzDnI9jUQLoWjZDquiiBlEhD2sIgG+NpUd/cFGkTI+Kgq22xdNUuppjfGjkOGl0GELyn+4lAPMHEcrjU0XJlJimV3ynCvFCqlGhrIz1WJ/Tb3+0zSXPHTZVjFDmKsn78EPJ0QnSUSaPUQkJ5w2XfHEIvQzTU0zK2m42bJ7jHzHpEdljHSwNRpyMlTgC8KtF4KofOjkKga/IuhuhOaR/UkWAsbCce020wiN3DIN9oPuejNEB7VUyGNtFlZMGXP4JCQZkMggakzaplvf1SVTtYvnCm+MjUNjL2EnEbRuez1xAlIIwkRWeG+gZlzUAFBhdlUFU/NLPW83KEBGR916RWQ6ues+93f0yqhDQC+KETHquJvN/E6YMSzAahhvn/+0Elkpd1TI5MTwMhzhfskU6pnRTN/R4QAUjFg9KgajmldVnw/iGZJCFF1OXe3bTQbBg/UGOFl5tCFowtbytyGo5jYK5D+diA1rbYhhAocMiVWT03FgMmTkIEuIHJZZVMK59vUWRRtqK3zNXESMrAIwpc700FODwDnfwNAAL5SFedEdsxVosK0gFIlo/OGBoqVq5YZVfdD82Z7MaShGnCnYFfRt5KZpGNlTTMR1y2ZM7oawt+W/X70xeL7D6mCVzuwMWd+JEYgdR9ES0+J1xLNQh3LUzeTC+ATli5EwhME2q8CPCGzIJA0r1AruPrNJFVvQnIEQEY1OlbdgHLi59TV6oUgMVL+OUIDBg9BOhppKQ1g5Jj1XfF6GhC5ja3QUNmfvHP9CftN1ddw3tV5uUJfRkrV/8jECwMHCCA1DZkcz6n/YktNFD7fGn7IGKo3KpMCRo5CDuyHHHrJ7Akpt6CWkTtF1TJdXW1/oosZgwdqGOFtgei8GmhdVmVOglClq3Vz3LxsY5BnZgiykh6O+VZuGME5tfLMLyDHj6vAIT6cO/STmlIBl9Xg5xd8cp77co295oVdOtou4mR2VwS7IPJLigcWYdbZXN5WFVRMnQWmzroHEPn0gNl7ZfZowSyFDgFkzqtl4Svi6IKRhn2OZKaK2hJElRCiPrcmw+CBGk7421UjU+lQgjWlU/erq8xqSQlMD1X/urnmbSkdQEhprgUBAFLlRww9qxJO86WngWTMnMGSKr5dTQc8AZefhZVQWORn1LrcNfdCaBoQKrOInSekblZDrwUAb1s2jwFQw075UzK9eQteaV4VKDmDo5wPVkeNkUpYwxbOYlWc7kn1piE7dDHr23wfRCHmPNCcEMFFkLpfzSwolTAptGyjIqVq6FJlpheqF5pfzal/iVHV49HMWnrV9MxS8s9VfBjFr/RldnjHHy2+TaGbsyEMs9Kk4ciLcGl8hSgZxInICtUj4tbt72sD2tcBydEi9T8cEqOAI3dB6P7cOg92XQtzdonQ1LHYy3xn1OOVrAcmhaOHxbpPQuheVbNiesCc1qqpWRyhJVw7g8iBfw00Z4SvFbLjauD8s8Weobqyc7rbK60+KdRVtX3lbECOv6I+9D1NWoAq0AnMnHfMSnHMtBDCzBNwuRKOn899vhspyzegMBNRrQa0WG+FlKqceIlFsUT0csjWS9Wqqpm4WgArtBTCo6pEynS86GttmQSklLmZ5ZHLgNF+M2/CyAYOmk/9vK1zZfXQaJ4KcmvMgCMvcIAUkMPP5+XXZICZQTWNuGNd8/4uUROrQ33qJux6aL49ogVNeHzAomvUkITdugk1lu2L5nZlV8zqrchrLVOTwNjLkOnp2na6QYQQQPsaINSLnDoPMg0kp7JFjez7iyQxum+9fHChJr1WJh2HdBsucb6j5oGIroDoWAcRXZUNHKyZF+mZ7FcjXdHUUaF5gY51QNhRW0LzZj+MrcW94MyLKfWxZvZW5NS8MItMefwlEnOdSapEVVigOQ/seaA5Jzx+oOsayNhrQDpRfC0FKVUjU46zCFXhRoDJU0DbFbPd3YYSQgCRFZDCC4wdMxvC/AAh/z4gu2aIc7jBupk9CsVWypRm0CBhDgOU2kNHZcpzz0IKAfg7gOiqirrxpZECxvrzpuhKwEhArXMSyO6fJ+Q6n10IHWjphkxOAunJ7FCFvblM/gsAafWoWD03wnG+8t9AB1ovB8ZLTfEEgAzkzDBEsLPM84gcOFWTqM6C3cXH2a37MnGUbt308pF5erqybvP5FL4kez4sUkKtLOl2hZ5Rt5zjNhMShVC5EtbVeV6vhQSATAbCSJa5oHEGJMj+rBIjwNAhc8nsEq/OJFSOS9GZL0ZuToejQqSrUE922CJ/O/nsnAiP4+Y4HwAATZVE73ojcnsuSogPV/Y8ogWOPQ80b4S3BTLYCcwMuwcQ6RkAZjKffamcv+y3cMzZL8FIAqh0lca5J4SA7HyDuqofeQE5V83WkIyRQe4UwwzsdSjs43dWqzTHWqXhmFkACAmztydvbRDntMyCbdk7mn3uyPNA94aCY5Hx88D462r4pVzZZ5kG4jNqpxKjkBAAvED3Gwt6NoQ3BKm1AZhNIGgFT0Kdz9BSINiZLSZWl+qbRC7mek3uOcLggeaVCHRCesLAzJDZywB1lZhJQH1Q6+rDXg8A/oia8jnanzs2Xcl44AWw7LcQAmhdCqn5gHPPqpkmuj83kdJIqcqbnhY1Rg+hgoj8nhV72MJqMM0PH8OAHYAUnDdruKOCYl5mQqdMTdm1H2QmCZz7VXbxLWdCYymayH07kQaGnoGMXgURzK2siY5L1TBIsTLVpXdaJam2Li8ccsmr4FlUyWqeRC4W6LAFgwead8Ljr2hapUzHgfO/Rnb8Gtnu+FINlOZTje2FIjECeIMqaMpfVlvzAS0hs0fBanE9KshIz2STLFNTQNqsSinM3ALdD7snx409hJQ3E6EYIdTMD29IFVcaPFTZ64ptK9/4USC4Mfe+mXOOwBJApsIPVX+HKlteJE9DaB5ITyh7ztyfBQRZvpoIYPBATUImJ7Ljyf4OCL+6wpOGAcwMAPGYWiFR8+ZG4VaDVyp4CC1uyoVlikqMqKmObpwVIvPzIzxBNbRh9xw4hhisGSeap/T5EmbehNsU0VImXkVB4GAYgF7mvBcbLjB/rnLoGBDpVscWO27WxXAWcqikqIMoGTjY2q4Ahn9TmIBpiaxURbGIqlGP2RJN+PnF4IHmlUwnzG7odPYPJDEKCU0ttT3xGnLG+Y24uorWHOP11nQ9tz8wT4sqVDQHpJEGzBU/awpWjIzqjs/fhmuyoPWYGUR5A2qaZ05Jan92OELqlX8QlWuXJczy1FD1KtyeYGSK77c9rFKEEEBmHJhMmFM7rUY9P0m0BKEDHVdWNDNEaB7IzvVqbZTEaHbfPCEgvBzCFy75eiJXmlbl8FqRbTQZBg80b6SRBkZfcL8Slhm1yJVbJn0mDkCqICLnNVaSodXtLs2yx7HSFRdrIKUBTA1m15sQAtC8kMEuINhddRAhp4YcgYOVaGUFSaig18ADewqkfS50wBMGPB4gOVF6G1ZPgNXzIFG84dcD2bUuivVUZJIqN8OKEXK2Jcv3cNgdDHm9KYU7BAgfEF4CJMbU+wS6IALtpbef/3aaB4heXtVriC5GDB5o/kyeUl/dGidrhoXud5/ql0mYvQ+OYkE5tQ4cZobqHjxII6260SdOIqeWgCeo/qqmzgCpKcjIiooDCDl52uxpAVSiaH7CoaMSZKlteoPm+XAEHalxIO1RDblRpty3zDjOJ3LrRTjfO5N0VIQskSeRTpjVP80cDk9YDUFVwg4uynWDCECm1ZLaXFabmskCHbZovr4QungkxrL/L1ZJTSuxCmS5RtBS5wqT0sgAQ4fNpb/Nq3vNo26ZhDouKdWaDJUsuw1AJsaB2HFzZUktNyiy5deAyN9IXuDkPJ9CU9Mi0ykzvipRW8P5erfH7ecZ2XUnHGtSuDIy6ucVvgyifQ3g7XZMIXUhzV6J/N4loguNNWxR663JNN8e0UWkSAVEi31FW+zl+ZUYiyXf1fnXfPIEkJpQ/9d95swIrzml1KduKTNr3zUXIJc0MipRDxIChrpKny1ZJPdDCLMnI6OWO8+ZrQH1f6vL3mvOTLGGLEqVyJ08rb62rS6/b+GldnVG0bEC2YTOvJ+bHaQ4PzTLzQCRhatwUkWkNCDjw5CTpyCnzpQtQ04EcNiCGkgmYsDUSVWDQAiVuBi6BMLjV9UH3UoFA7ld5qWWSBb5jU+R5wbqXE7YGm7Rfdkpo5pXDVlAU1fYmRkgk0K5gkYyPaOW2VbfqS/VBjvO4y+bz2CoBtkXBlJx1Rvhi6qufm9IDfFImAmWaQCieO8AACTHIDMJtQLmojeZU2ldnt92BURLd+593b8LDB0y8xm07M9dGgB0lfxpER5ApuA+fGHe51z/gioiE2NA7Lfmz8AM0KZOQ/razNkljauPIo2UyhVKTwOG+XvrCQGBRRB689dlqdgCHbZg8EANIUdfUsswA9nGZ2YImBmCFJq6Siw5hG02JJkSQxOaNZ3RUY2xYDs6EOyqcu+Lk9IwczDMWhNCzQoRnhZzyMHSpjL2jeINrzQyZmNbZGpg8Z1QX/PXd6ikIJOTEKpRTk+p3JLRY7m1IZzvVcrkaSC6Us1GWPIWyOkhYOq0Ok9Sqm1NHIdMjACtK9XiaICa9th7HeTkADB1Cuo8eAGvy8eSppvLh7sVsBJA66UQvlDlx36RkEZaDS1JA/C22ouVAYBMTQLjLzufnf1vcgyIvQK0ransfax1aAQqmm0kE6PAxAn1ns7fseQ4MPEapOY1hyWtx8xicZoPaF2qjqUJu/JdMXggqoyMvZ4NHIC8ngTArjuQv8BRPmuNBtfHPOrDRfMD7euA8ZfMDxtH97bmBaKr1cqMdWMOpXiC6r/+dkAPmrubPRYpoQoTxc9DDhxQ+6L7gdAlgL9NPXfmnHvehvNK3HUXhJrFYJhXakiZDasjcdP6YC05RdLxMxl/pbBAkjW909kT4jY7YmYwNzHUE8z+3DRHEJIYA5JHIMOXAjJp5jQEAWMGoqXLfJo0r0RdzovmBRBQJa9T0+rYvGE1jdLjdz9XFykpDVWJdfqs429PQgYWAR3rIHS/SuotJRmDTE1ClBgOklIC04Nq2XLrZ6YHIEOLIYr0+MnUtJkvZMqvV6L7cpOkdb+5kqr5vMmTgJFWAUb7moqm4c6rBTpVs6o9evjhh7F+/XpEIhFEIhH09fXhRz/6kf14PB7Hjh070NnZiXA4jG3btmFwcLDi7f/FX/wFhBD4/Oc/X81uUROR0izqlC8/+q7kitaudpi/LTPokBnA1wrhbQE61wORlUBwkeppiKwEOtdnpxLWiRBCdfMLAQgvhKfF9SrLvs8XMdemkGqK6cRvgeFfqyvCYossOWte5LMrauqAL6QSCtMzjitysxfGSBcmJAqRXYHUWhLbyKhAJDWZ9z5562pYN82DglLf0uoRMI0eK+wFsX7+0gAmX1O9Mslx9buSmlClra3z5mkxq2Hm8baqxqJ9LUT3myG6roFoW91UgYM0UpCJMZVDkJxQfw9zvg8GMHAwL3CACgLjw8DAIchMPJvsWkq8eMKvlFIFnVOncoO9TFwl/1r5MPlmhoq/n53ga/6OeQK5gYP1HM2jfufO/cqsr0JzrargYenSpbj//vtx+PBhPPPMM9i0aRNuvfVWHD16FABw99134/HHH8eePXuwb98+nDlzBlu3bq1o24899hgOHDiAJUuWVH8U1DxKfNgAcOQplOmqt66OvUFz2WZzCWrn6oiAnc8ghAYR6IRovUzdAo5Fj+pIGimoIRIN8ATzhipyCSHUFZ5VJMk6diOtFr8q1qsizQbdsRJmzv+FpgIHQwLxEh/E0sjt4deD5lVdMjv7QVqFrYokWVpf84O/nHMr7A97OTOCikpgG3mNambGbgSEEBCeoArSvCHVuxJaAhFdCVGs8uY8k1Kq4ZrYa6pHKT4CTA+oRjQ5Wfb1dTX+cnbtF7efnZEAJk5VsCHh3tNkiQ+XDkCmz6pehnyVBC1CU79T+YGD/biAveDU2EvltzefBAoTj6u+zfdBFKqqv+eWW27J+f6+++7Dww8/jAMHDmDp0qV45JFHsHv3bmzatAkAsGvXLqxbtw4HDhzAxo0b3TYJADh9+jTuuusu7N27F3/4h384i8OgppGaKv8cOzEuo4KBfHaDmcltMPN5QuWnCNabfXxVjGPmD9sIoZL/kuZqkm5kGshkzK56K+gw6y/4oupDvVjwkbMdc+VNb0htywoYSi1+ZfVYlAwAAHvFzmBXtqfFOVxVjNVrlH/tkklke0Zg9kIIM1iY659ztWaGVDGyfNJQjeiMWVbd1wbRoIJlgNnzV2o4wvpdnDwD+MNlgnjp3gNkmTlXfofi5wDvpeWfV7CPUL+vZdet8aqeK8No2hwIIQREjQtbNWN5/VkPFmUyGezZswdTU1Po6+vD4cOHkUqlsHnzZvs5a9euxfLly7F///6iwYNhGPjABz6Av/mbv8FVV11V0XsnEgkkEtkxsVjM5Y+W5kc1v+RW13nB1aTMfqh5QqpKpNp49nFvGGhfN39/VI7UilKkPXug4IFsEaiiG5K5AYLwqsABApDCXKK77B6ooky6+UEs4Ug8zNsfILe3oSwNgAGElzruq+HnIdOOolMOvqgjObb+ZGpSNYQpMw8n0KYy/kuMpctMSi0KloplA6miT5ZAekINIwCQvgiwaD1EIxZrS06gsl/MpBrem3YZYnQKLir+WKaCKZ0pl+d4gqVrr1h/E6XKsQPmY9ZqsQlAC5bfH6qbqoOH5557Dn19fYjH4wiHw3jsscdw5ZVX4siRI/D5fGhra8t5fk9PDwYGiv+C/sM//AM8Hg/+8i//suJ92LlzJz772c9Wu+s0F/xt9oekq4I5/Rmg5TLVnZ6eVlf2MqMau8AiNc4tDXUFk5pSHyiBDsAbmZ/AwRuGHTlkEoA37N7gwQwcMiWmalYYgABQuRN6IHvlqHsqf7001LmzcimcQyH5Y8nVEAC87WqIwRLsUlfhpbZlBU5FN2r91wP4o5B6UF0pJ8bUw56QWuxML1FALP/90tPqPFiJq0Kon8/U6cIGdHISmBqAbF+Te2zW5pITanqjPbXWk7vWSsEhCTV2byWgJidU3sHivsqPoVLlhgPtfdKBlsXqnBb7HQ0vL5NsbAaPpbj1BgS6gMnXC+8Hsr+bRtrMaygRQDgD7/w8nGZiDa/Uuo0mU3XwsGbNGhw5cgTj4+P47ne/izvvvBP79u2b1ZsfPnwYX/jCF/Dss89W1RDce++9uOeee+zvY7EYli0rv6QzzQFvq0p4K3Zlkd+Fr3mBoJmfUKw7V+hAS2/993UWhOZRGevxc6r7PzXpGkDYPQ7Flni2h25gds0Xm5KqqYDM2Ttj9w54AJRLFhNqMbGC94b6YLeGQtROZx8rlgeRv43W3NoKwtcKaZUULzbTQxTJPtf9EK3LskGO8KiGeuSIqkthnQMjCYy/AhnogCj1e+Gs8uns/dG8QLBbJZoWu/KWaWDsJcjON9i5M9KaMTL+qrn+SIkZLW6Elh0uMhJq1kC919GoJEFYCDXUpHkg29ephMeZ87AbYj2ockwCHaW3E+gonfwIqNlIBfe1qR6bxGhuAOsMHAAgkwa8ZXqcMikAev2DsHrSRO5KwLPdRpOpOnjw+XxYtWoVAGDDhg04dOgQvvCFL+COO+5AMpnE2NhYTu/D4OAgenvd/8CffvppDA0NYfny7AdQJpPBxz72MXz+85/Ha6+95vo6v98Pv795MqzJIT2jrpKlkc3Cd9YgyA8c2tc1JLGxXqRhqKTEmfPm1ZAOBHvU1VpqQgUHdtVG9UFnTzdMT7v34ltXTIZUa02oy2lzGMdMYIQGaAGVGJnf0FrLbrvli+TTPGWSIc28hYIAQqKgZyJn/wHoQfeVJjuuMutXGLnbs5K/3EqOSwMwMpBDh9X/PUHVZT51FjCXZ8/dfw+QiEFqAYhAm/uxJ8fcZ7QYKZUXkMnLGZFSPWYNB4k4MHUWMrREFQaL/dacQmgGuj6XSp3FWDNbnKbO1D14ELofMtBlLipXZD+EAKLqM1xoHqD1MsjwMnU+hAZovsou5lp6zKCjSO+D5lMBRv4+CgEZXq4uNCZPZXtLpDlLyF7DJW0Gki5Tuu2/oSQQ5oXjfKh5gqxhGEgkEtiwYQO8Xi+efPJJbNu2DQDQ39+PEydOoK+vz/W1H/jAB3JyJABgy5Yt+MAHPoAPfehDte4azSHVBXwGSJgf1sLKwLcqMJqzDqwPqECHOa7cvN2NMpNUq35mrBkW5pfYb1Wj3HKJuoIykkBqWn3kGUkzWEqbjXtet6vV0GRSgMdMhrQe170AHAmS+QwDqsqiSdcABFQFTzfCnGZZLunM7SGrUcx/rTOBta1Ewxe6xOwSn84Os3gjKuByC4YyCeRU40xPq0XH3K5cgWxAMjOkchQANVtjxhHo+VqLNoISMve4ZcblPOrqqnz6rPq9zaTUcbcszp0FUEmwlZ5BQSNbqgBaLdqvAIZihQvKWfvX+YacYlEAIIRuVkitnND9kG2rVU+MVY3U7r0IAG2r1XbdXiuE+RnQAZlOqEXm0jPqdYEeIDmi/ras+/KDYOvnFeiCCF9S1X7PufzZLrPdRpOpKni49957cfPNN2P58uWYmJjA7t278dRTT2Hv3r2IRqPYvn077rnnHnR0dCASieCuu+5CX19fTrLk2rVrsXPnTtx+++3o7OxEZ2duIRGv14ve3l6sWVNZZTNqEvHhbODgRtMhzKudC8boi7kfwNYMESOt7k+9Yla8W6YalBlzae7kpGokDaky2q3pmtbrMxnzwzC/x8VlfDcTBwxzypp0GaLQfbBLYtvz3YVZjc98Tdnhh7zHhQ50rFON21h/tmfCqrshNCC6EpAG5MiL5tQ7NZMAmla4GJjQgdblEIFOR3KiuTaI8BYOq+QcWwnmcUkjpfZt9JijOFXp1wpALZ1uTUfMDxw8Qcd5M5N69agKgt2mD+b33FisK+SMyzBeXgNeL0L3Q3Zfq9ZgmTyTbdiDXUDb5XVN1BS+VshF69UQRGpSvY8vCvgqz0kSHj/QsTbv3mxvtUwnVTXK9KQ5/GTmkHSuqnsdl4ZYoEWiqgoehoaG8MEPfhBnz55FNBrF+vXrsXfvXrzjHe8AADzwwAPQNA3btm1DIpHAli1b8NBDD+Vso7+/H+Pj4/U7App3Usri3aSW9DRkaloVdLoAyOR4buEbu1R23tWjkVRXXlMDqoERQnVne1tUY26YH9xaWK3VkDhf5Kq+1AeMOS2z2Iex7lE3K1fBnqFRQfEcKyCwApxAJxDsUdPePIDsfJPqAUhPm4+3Ay1dwPQQEDuKnKvNxDBcM+RlRuUoCI+apmjmiACyTK2ACj8wjYxayjxnZkoVeQj5U15zAoc8VtJq0e3lBQ5Gwsx7kdmESUsDu9uF7gOiqyAjl8OqS9KoBGNh/d7Uew0Za/seH9B+gV14XASqCh4eeeSRko8HAgE8+OCDePDBB4s+p1RRHQBF8xyoiRmJ3Cv0YjkMqYnsio3Nbmow94NeGiiZWZ6eAoQjqU8I82rV/D60SJWrzsxk8yScnHkBbqwrLqv3AlCNkXPYx27HndMwrKTMEg1HoAMib+xdpqeB0ZfNMXCvmZshVa+CkXJkyzv+nstNrZs8aSfFqoZMQKam8vbXqcLqjEbKpUJmhdNYzFyLrBIl08sdn/W+mRlzXY+8Whp2MipUXlC48QXx1Hlu3qHBiwKHLYgKyZlh1ShY2fnSnMKoe12CiErnJc4vOXVGJds5VVIC1zpuN9OD6gZDdakbefPfy304CKF6PvKvkoVmXik7F7JyaYzdAhNpjvvnXQHL1JQaAvCGze1a2zSTHTMJlZHvnOdfyVS59JS9AqfjhYX7askkzbU7ipBSBTb5Y/uA2WtUegxf6gEgoGeXFQdUD07RF5TcnON5hvsQkzQTYcNL1CqjzTy9kOqHwQNRLjk1kK3p4Ewe0zzqak6TuY1KI4riVEhmEmqsPRmDGpdtVdPV8iroycR4dsnt3EcqeZMSj6WRM7VPwjH9qoYPBmmo4kbeUPZDyrmrwhzTR96sAOu50csLp7mN9qvzA5f9s+oj+KLA1LSZ71nF/hvp3KqFJeuCmLNW3Ma1rWMJ9Rb/eWXiJZIABURgkZpWaqSzVRlLHovZS1GqB0II98qfwgMsehPgj9R5oTZqesx5oHqSmYS5ZHNKfbD421wL0jQraRjA9BnArUyzVfktkwY81mwLr5qaNSf7Zs128EJoGmR8NLeoD6CGDqYHIaOXQzhLH0+cgH1MOcFAiStkW5k/cGfj7fE7lvau4KAAFF9nwMzHsIOAvPLSjhwLaR1XOqmSBDMpoOdau5qijA+r7UhAlc4u3DlhBRCBdiAxBgmt8qvo/EDFFzErDuZXIjTf10gCKTNBztmTZRU5Gjlq5oO4JDFmEmo/PYHc6cBWnQdPQP1UIytUvQdrCEMv8XM04sV7Q6wcB7cgMrqqfN0EogsIg4c5ppawHSicmZAYhvRGgPDSpq57YIu9Vjy3Acj2QFhV/Vova3hFSJkYNxuBbCVFqflKJORJYPxVyM6rsz0QmRm4tuaaXn7oouTsgPwASzOHL5Kqoc4vD52zm45578UYKTVk4m01k1cF8nsapMwAicmcIESkJiBPPgnZ9WZoLV3qCtzuGSj+8xJWvYaWnmzgYY33p2fgGmj52wuuuoUQkO1rgZEXHZUOHb1YgGqQkwmVrBi+RDXeuj8bOKgnwbUaoZEEkknIwCK1RLSjwqS9D5oHsuNqYPj57Hksxkipap35vWhCqGAwf+aIp0X97jf72hzUOBy2oLqIny8+pTEVU0Vxmn3eMqCOQ3e52nMSZhZ/xKVrvM5k/LyZU4DcIRQjqa5ai9VCgFQzB1qtcX/nH7qjt0HoKD17QVS//oKmq3r86bi6WhV6kal+qGARLKkaKn+bqnVgV2nUVRyRTkCk47BzU/KdexZy+Y1qX0othuTcL02HM8AQQqhS0nbA5gxePEB4ecFmAKiphYvWq5UoJ14vPvyTiQMz5yDaO1XvUjKWPR5pVcp0JJ5aX31RVQmzRLArAu2QPb+j8h/iw6W7ib0htV5IJq6CJcNQfwuRFRC+MGR6RuVraF7AE2x40ExNjhUmqVZSGqrRLSU5Cmlkr+aakSq9nIYqaFRO40vHqiEUs0yu2xCKRHYpajfJcQBm8JBTcdE51m9tIwX34QvrnPhcehHK/eELNQslk3IfmshYS2eX4GkBIper5ZhTU+YVdsDaM0D3Q+p+iEyiYIjAatzkyDHV62WYgUyRYYvssYmChlEIAQk9d/EjXxvQemlBYaLc12mQ3pbSeSMAkIxBpuPZBaByAq00IEU2CLNKhEdXVdSAC08QaFsFYJVKBJ46lRu0ecJAZKWqS1BuOxfQECTRbDRvC7XASGkAsRPlPxwBNaWxWGW9puBSarfgKeYHt68xhXByxIfMNq5UQ1dqTN4RDAQ6iwR4ZqOkm8GFPV0S2XORmjKz/M0kRSkBb1BddZfsodFVfkh8JJsDo3nUe1jf6yUWXgLUypaxV1XyoOZR72teeee8yupVyAsg1HDaaVW2OH7ezE8p8n5lKlaqHohA9j2kVHUekjF1XrwtaoZHYFFuo54qsdKiU3q6xBCSzAZa1vHP4spfBDuBoNnDYaRUyeYmTFqjCwAXxqLZklICYy+pqyVvBVcklc5RnydCaKq8r5Fyr7annqQaxMAcBEHpmbINmurC19yv7H2OtRPCy1VZZSOV7bXIn6svdDW+7ly3w+qtSOctCJWcUO/rDatGPZ+131b9BEA1fhlH4yjTgCGK51T42tSV7vlfq+91f/HzYQ0lWUMY+fsSWmwGIL5soOEMzBy/m6UaZfU7Yg77WDknmYT6PpEEEuOqce64OpvjU+kHpNCyP7OyP/faPuKElldLg6haC3TYovnCmYUoPqwaJOtqtBx9Dq7Wa+Vf5KigCEc3sXlLJ9Txjh2DnDpdtjhYTSptdIrtQ7DLsSkN6Lw6OzPECjogVENkL56UVMMgabNAlpEy1z9IZI/dfl9Djc8X663JpIoPqViMFOBrz83nEEIFJdHLHfkemmrsyl1t64WJi/AEVeJo51Uq/yYZU+8rraEqQyUvGkmUG4qxK0ha+wrk5VJItQbFxOvZu3yRstsFNMDbCuELle7RsX7W4UvLbI+IZoM9D3PBXvbXqg5Y5MPd+sDVA2qYw8o+1/OmmjWD9tXAwAF1NZ1OZq9OrStw66pdGupK1sgULN9cN4HO4ktfA9nz6par0HppQa1/oXmAjrVqoaWUuV1Pi7qCnjmv7rOWnPb6VINtrXdhrQqYSarueatnxvp5annT/ITILYNdSvy8KmLk/N1JTwEjz6sVOOHoHrVWKLSCGKGb612Yr/e2AlocSM+ornkAovta9dXfDtn9u+r3duY8kJ5UfQjSDDKEp+S0YimlSzGrIkNHk2cgw8shNF3Negh2qzVCimnpyS6m1rEOGH4uNzkSyAYO3laIUE/xbRHNBc62oFlzZvqnE+Z4NNyz6jNJtaBNYhTOMsSypQdo6W2aIELoXsie3wXO/Up1qztnXlirDzrHiKfPQrb0FBRlqsu+eMOQQs/OMCh4ggD0FlUVMWkuyOSLAC3dEF6XJaWtl2kewB9V2fNDh7IJgFa1RUizgrIw8wxCZu2EpCrDrHscyZNmwGikc4cvpKyiAEyRnhMjqW5ea7pp2r0SpbVYlNWbIkKQnpDqFfOEchIBhe6D9AThXMXTPrUyrVYc1bwFQxd2D1NB3QZrAxpyyk7LlAqArGGI1mUqmMpfXAtQQWJ4aXZzvghk5xvVAmYy6ehZEupvJbqycBtEc02I2os8MXi4SAndkS0vgdSMamztq1JpXrmaV/D5CXsyo+bfp6ZVUaMm+UUSHnOK3eQpc20Bs1yw5jOvpvMau/gwEGpQPf/I5cD4K7ALJDl5QxCtl+XcJaUai5cjL6h9FzoQXAS0LM6ZHSKNDDB02FGDwGr8nO9hXmkbGRUYegLZcfKCn5WVbOmoNllmBUhbJWPv1rBK7guzhY2c+2P97vnbIfJWNZRSmmXHC94AEL7s0urCYwcM6vdSqvNZNDE4P88i91shNMjo5UC611xa28yrCXa5rqAofGGg51rITMrs2fGVnQ1BRLVj8DAXgp3Z8rcA7G5tt3FuK0HPLUBIjqlbk8zEkMkJtZohkDuGLiWg62aD62gdKs2mnwWheSDb1qjzEx+GXZwq2FOwkqeUUs1MyPmZAJiYAiZPQXauh/CZOQ/TAy6BQzHmct3lkmLtHiWz8qPuBYQ35yrf5QBzczuEx1zS2dyndNycquiyf7qjxyF/s9Z9M+dz64ukJooPp8gkAA+QiUMaOrK1JJLu60wA2aTS/GhB0wsKLgkrl6NEr1DBcTgXISNqJhy2oFlr6VUJbZVM0wSyeRH2gkTI/vLMnGuK4EFdmbqtKQCze95cBdJ5DPFhyOEZoP3K7Lh1HQkh1Lkpd35mhgoDB4vMACPPQ/Zcp4aIZoac71DJTpSfAZD/fEANcyRG3Bt/CDNQMHkjEJ5AThKq8LSY9Q/GHTkepmIzYpys4RxLuWqa1oyQll5zmWpdvbdb8FCq0FWwuWuaENVsgQYPzTGAvsAJ3Qd0XFl59zSAbNe4uRS0PZZc5MpurqUmULRwkZ0wl1dkSAjV+zD8/FzsYXFuQY/uN692W1VDOPayWhMjpxGtZMZIlbNKrJ+r5gG8EXOmjfVnKdT33lD2Pk/YnrUgzBoGdu+B7je34c/Nq6jogydvvyvNTfG3QbT0QAQXAZGVQLBIgmImXhg8e8NmUSaiBczqNaz11mQY8s8R4Q1Bdl2j5uJn4uVfUMCs3d/gOefSyGTXd/C0FM+vKNY9DZhBRZFGVAjASEAmRiHmoQdFGum8mRka4AsDMHtLrMQ7a4gop6x1BYGBkQE8lV4lyOyHghBmHoymZmk4t2fXnBAlyx0LISA9AfXzE95sYCIz6vhKTWvMnx7saSmyYJWD5lPBiuP9EbkUMrQ4m/Cr+VWi6eQJIGMGD5oXCF0CRC5rmgRgIqoOg4c5JISADHQCU6fdHlWBgTSKdF0DgKEyzhtAGhn1AT8zmH1/zQsZukQlERaUfS618mAF1Scnz9Rl+MUulS001bbHz5nJm9khjNwqhjPITmk0Zx0YhvnVDIicz9c8lU+lBMy6COaQjet0XGv7UvXC6D7VCNvFpxx5Ac7kR8MAfOGyybJCCEjNayY0egAYavaLp8SfujWVNH87rSvUTIZiQVNkhev+CF0tmJXVCbQuUwtzQTBgoIuLNTmr1m00GQYPc62lxxxvt6bweVRCpbcV9lLH6WmzVLHL1X0DVueTMgOMHjUbXQcjrYr4pGaAtstzH/NFiucNlLxCF+oPoZoG2e0djIxaZjsxat2B3GRGoQIhPQDZfqU6ltjx7MwKwGzEzcJH+bklFs2TXf2ykp4HkTcNM7/2AKDOpzXkYyTVVb4eMGdeeM0AMq8AV94iVOX3wwxQJMxjTBZWnrT+n0moaaz5m/C1QravU0Gl83fDEwJal0M4K3NWtEus1EgXIeY8UD0I3Qe0rwGs2gCty+zAATC7fj0taj77XFWanB7KbRw0r6qL4DFvqVhBlUiheQF/R+G23BaVAsw/ILXKoGosvWoIoQiZSUJOnYEcPgo5eAhy6FnI2GuQmYQKHM4fUQEWYDbM+b01jnoDQ8+oQkrpqewfsv3HWMFlgW6Wai57xaw5FkRy9B7Yu2RNY8w77vS0SpZMxtTj6WnVoFulr2GYOQzVJNwCOcdlpNR2ZRrZSqBpc52IVNGFnISvFaLjKqDzjUD7OqBzPUTn1VUHDkQ0N3bu3Ilrr70Wra2t6O7uxm233Yb+/v6c58TjcezYsQOdnZ0Ih8PYtm0bBgdLFGdzweBhHgh/G9D1JrWOgtALun7t71t681/pvj5CrewKmFCVCkV+dr5QU/mmz+a+LrREratgkRmzcQIK5/NLNRXRmSsR+21BACEzKcixl1VwMHlKNfjSUK+bPKVqLoy+mFcQKq/HAeaQhNVIevyoqd9PCBVAeMJA53p1fpxJjZoVFAWgpmtajb45PTGTUvelpoq/B2CWvc6vj2HmRZhDC9JIFS31LaVU9Q7yS2M7/59JqHOaNqtkWo+H8n/X8k6BJwDhi5SsLElELpwXLLXcKrRv3z7s2LEDBw4cwBNPPIFUKoUbb7wRU1PZz5+7774bjz/+OPbs2YN9+/bhzJkz2Lp1a1WHxWGLeSI0T8nkR6sMsPSEgbTZKxDoqHvXr5SGmRQnzdLFWl5Xu9UIApgehPS12XUThBBqLDvTDcReB9IThdMEC97QrIWge1VDOT1o1xeQRhoYfaEwGdOuTGi+PmX2INgLUgGFpY/NfAbdauSrnAVRsN/m0EGwCwgNO4ZL3KZlmnkr0gxi0gkVOIlKhh7yH5e5u56aBnyt2VLR9u6Z591KBs2pq6Ch5PEHe1RPEhHV3xwPW/z4xz/O+f7RRx9Fd3c3Dh8+jLe+9a0YHx/HI488gt27d2PTpk0AgF27dmHdunU4cOAANm7cWNH7sOdhvhilig0pUspsoRyhA6GlpV9gvy4DOT0EOfIC5PlfQ44eg4wPF1yxysSY6tK3GhZnAyINqG5yqwEyu8/HX1KliR2E7lcBjt1gldtBR29DctxMpIMKJIrN4hAiO+5v15GQ2cBCwD1ar9eCXEIA/g7VYLetAQJd6nyW+qO2ykB7W9R+V3JuXIdGzPNqDWEkY0AmYf88pZTqvCXGc5JdVU8QStdsCPZCcLok0QUhFovl3BKJ8lP3x8fHAQAdHWqY+fDhw0ilUti8ebP9nLVr12L58uXYv39/xfvC4GG+VBBJqvbQXJOg4yoIT/kcCJlJAcNHVeXH1KRqVJIxYPxVYPSY6mkAVHXIkRfyEhc1R4NbpKGTGRVAOBplmSlS2bDoTjpnlEjVrQ/kFWRye53ZhW8Y2Qt0YSZgVn1FX7Dx7Hu4vS9gL+wlhGb2ApXZprOugS8CLHqTy1CUcxe13N8LZ+5IzjCNVNMxk2OQiVHVC2L1HglNJeUuegPQ/TtAoEMFntLqwfCoXJrgYqCnDyI/EZaI6kzU6QYsW7YM0WjUvu3cubPkOxuGgY9+9KN4y1vegquvvhoAMDAwAJ/Ph7a2tpzn9vT0YGBgwGUr7jhsMV+EDiml2e6VaISMFKD7y441SylVWebYbx0NoKOOAKAKO02cBCKXmusWFLsqL5OYl0nklsk2MpVf5Vvd66kJ1agJL5CagrTXwyjBakyNdG4vSSXK7l/ez8Be0MrsPWi/MqcSooyPZTs+KnlvTwgi2AkZ6FB5IpOnssNR3laVuOjW6yC07FAPhBrusXo8rK+6XyUzCg05OTSaVy2vTUTzp4Kc7Iq2AeDkyZOIRLLJyn5/6WJuO3bswPPPP4+f//znNe5AIQYP88WaW18s70FKc+0La8y6OCklMPJidujAzllAbiMIADNDkC2Ls2P2Tkaq8oTMxHg2eMjMwK5fUPEogW7uX0qtM6H7AWgoqELobJ2tq2drTYhKWm7rOdbwRn4Pib0daXb1m70uelCdi+AiINAFkb8qXtVjmNJ8mVDJiaFesxdIVYiUsePuU1+t4lAwaz5Yq3IKM49BCwAdbyjcPyJacCKRSE7wUMpHPvIR/OAHP8DPfvYzLF2aHfLu7e1FMpnE2NhYTu/D4OAgentLJ047MXiYT/52yOmBwl4FIdS8/MyMamACi0pvZ+KEupLXfYAvmq1QmI6r5ZYzidxGMj3hvp1qggfnsMb0QHbbpa7wnUsm5ze+6bxFtHJe48xhcFlcqZScHoQiAQQMAB6zh6AFaF0J4S09RCQC7cBM5V18bos85RRLar1MvffkabPCJ9RwVWix+n/sddiVOw1zyfPwMlVvgUWXiJrXHCdMSilx11134bHHHsNTTz2FFStW5Dy+YcMGeL1ePPnkk9i2bRsAoL+/HydOnEBfX1/F78PgYQ7J9LS5cJGhrrR97Wr6XWLcXEbYXCExk4LdOBspIOhST8HappQq0dAbssfTrW5r6fWoQj8z54H4qOMqXDev3l1qI2Ti2VUYS3EGPEYiu+/2YlgFO2q+t8sfQbkZGpDZ4EcIIGO4VEw0gwy3bVs5EfY6EmYlx0xGPRboAqKryucwOPnaSi6ACkANTUGotw92l9ycEAJo6YEMdmena2q+7M8ydImaZSLTquSzJ1Dd/hLR/Jjj4GHHjh3YvXs3/s//+T9obW218xii0SiCwSCi0Si2b9+Oe+65Bx0dHYhEIrjrrrvQ19dX8UwLgMHDnJAyk+0dcJo6q642M3FIt8bTSAGRVaWvLBNjqjHMCxyc/xfBRZDpGbNKolBXwcHu3PoO9s6awYvmKdUqAt5WyIkTqsfA6kqXzoQ/mW2sncGBNbwxW0KoBlR6s99ndx45AYT1/pmUI/jQYM/OgAT8i6oPHGCe20Vvhjx3OGfaZHYPNEgp1Nu1XlZRsqu9XZfgTQhhrsFBRBeUOQ4eHn74YQDA2972tpz7d+3ahT/5kz8BADzwwAPQNA3btm1DIpHAli1b8NBDD1W1S1X1dz788MNYv369Pe7S19eHH/3oR/bjs6la9ZnPfAZr165FKBRCe3s7Nm/ejIMHD1Z1EE3PLXAAoBIHJ1U3dWJMZcxnEuprYtTsoSiTGDg9oIYqgKINoJQyW9Y62KUS/8LLiq/yKTOlV1X0RoBzR9RxzQyp/bV6MYSmcgc0qyqjjuyUz2KqnE6p+7NTOnMqODo3aU5vtNeGSKtznYypZM9EDAhdAtGxZtZX8MITgOjZCOgtkEYmO3USOqTmgQh2Au3r1IqTRERzQErperMCBwAIBAJ48MEHMTIygqmpKfzv//2/q8p3AKrseVi6dCnuv/9+rF69GlJKfOMb38Ctt96KX/3qV7jqqqtw991344c//CH27NmDaDSKj3zkI9i6dSt+8YtfFN3mFVdcgf/5P/8nVq5ciZmZGTzwwAO48cYb8corr6Crq6uqg2lGMj1dJHBw0DwqOdIa67akp1SD52st/trUNNDSXbIBVKsttqis/tZl6j7dB7nojUDsNSB+HnbLqwfUcwJdKjCYOZddY8MbUVUUY68Xvok5K6TwzZ0JoUWGFqql6WYwMAN4fLALREkDyKQBf7cqDmUFQS096rHRfjXNM9QDEbm09v0AIDQdovuaumyLiBaiOk63aCJCFqt1W6GOjg780z/9E9797nejq6sLu3fvxrvf/W4AwLFjx7Bu3Trs37+/4rGUWCyGaDSKn/zkJ7jhhhuqes34+HjFmahzRU4PlK9fAOQt/ezQshjCbPALtm1kVA9AS7dd9bHofki1IqfbEIg0Uur9he665LM1KwAAcO7Z4ss06/7CKZRCmMdmzaLQC7vgKq0R4Xxdx1VAMgWMHoG95LQvCnRvYC4AEZU0F22G9R6je+9DJFTbOkWxqTjat/xdU7Vxs855yGQy2LNnD6amptDX11e2alUlwUMymcRXvvIVRKNRvPGNbyz6vEQikVNZKxaLzfYwGk+WSCLM4fYc4dqwytSUKgKVHFd3pKcgXRp9+/lSqloRRXInhOYFfMWHR6zXyXS8eOAAqKGETEKtumiN83kiQPQKtfDT5Emo4Qs9b6plJefHofVSCG8Y8AIIvb3y1xERUV1UHTw899xz6OvrQzweRzgcxmOPPYYrr7wSR44cmXXVqh/84Ad473vfi+npaSxevBhPPPEEFi0qPk68c+dOfPazn6121+eH7kfZhrHobAOZnXZp3TNzDhh/OfdpyXEg0Fmw3oGT8ARVECENQGizuzrPr8Hg/k6q+mL+sID3EsiWHmBmWOUcpCbztmcGSgX7ZQ51aF7VsxDqVYEDEdGFYI4TJudK1cHDmjVrcOTIEYyPj+O73/0u7rzzTuzbt6+mnXj729+OI0eO4Pz58/jqV7+K97znPTh48CC6u92nt917772455577O9jsRiWLXPv2p93vjaz+E+J2gfFGmWhq/LC1lNT04WBA6BeP3UaCF2Sm/kvs3kMcuwVszCUmdTnbQUiKyGqyeDXA8hOySymMOCxD0fzAKEeINSj9i01qQIGTwCADowey1ZdtHhCQPsatX4GEdGFhsGD4vP5sGqVWkhnw4YNOHToEL7whS/gjjvumHXVqlAohFWrVmHVqlXYuHEjVq9ejUceeQT33nuv6/P9fn/ZspyzUfOVuQuh6ZDhpWaXvdsThEryK3wAiF6eu4pm7LXib5SeBmLHAX+bWolTCBVUaD5g+DkUNPipCWD415DtV6qCR5UeS0tP4dLcOU/yAIHO8tsSojARdNHVkNZaHFICvjCEp3QuBxERzb2a6zwYhoFEIlG3qlXObc4VmUmqBnFmGFahIxlcBLT01uWKV/jbITUPMD2UXTIZanElBLrUbIfpwWwdBn87EFqSkwQpM2kgFUNOwqE0kBMUyLQ5c2IkN1ItVTZ67Bhk93WVlzeOXKqGHVxzH4TqJaih4qHQ/WrZayKiBWFhzraoKni49957cfPNN2P58uWYmJjA7t278dRTT2Hv3r0VV61au3Ytdu7cidtvvx1TU1O477778K53vQuLFy/G+fPn8eCDD+L06dP4oz/6o7ofrBuZjqvucucy0ZBqimJ8BLJ9XcUFfkoR3lYg2gppmCtQap5sIxtaDIQW28MMhbMdpFrwqqAAUrGIwGVKpNDdh0ekoWaDhCqb4ys0j5riOXkKmBrInrdAJxBeVt0wCBHRQsdhC2BoaAgf/OAHcfbsWUSjUaxfvx579+7FO97xDgCVVa3q7++31xfXdR3Hjh3DN77xDZw/fx6dnZ249tpr8fTTT+Oqq+ZoNcCJ1/ICBweZUUMBHevq9naixNoRRYdK4maSYc7jpdZ4yA6/mBvOrhHh9prkWMXBA2AeQ+QyyNZL1TkSGtdXICK6iNRc56EZzHbOrkzPACNHyz+x46qyS2I3khw+6hjugBkIVDLzwVEu2i4V7fK6wCKI9jW17iYR0QVhTus8PPkPiIRqaz9iUzNov+G/NlWdh4v7crFUzYKc5003dj/Kvn/+fs4i3ivV7cUcAyKixhE13prQxb0wVqVd7fPdJV8q4bFSxXIkNK9K0CQiovpboDkPF3fPg7cV5U+BUGs6zKd6NO523oPzPh3ofAPLORMRUVUu6p6HiuoWtPRAaHrxx+dCqFclTdo9BxU29s6gwBNSpaONtFpYKtClVpXUL+pfASKiBuNUzYUptEStCBk/X/hYoBMIXTL3+5RHeFog21YDY68AMEs4y3KVHs0eFc2npoIGe9jDQEQ01xbosMVFHzwIIdS0w5YeFUBkUoDuVStQNlF1Q+Fvg+x6k9rH1BTs9R4Sw7kJnXpQDXP4oqpMtOZj0EBERHV10QcPFuEJAuEmXR/DJDQP0JJXj6F1mSrpbKRUoKD75mfniIioEHseqFkJ3W+u3klERE1lYaY8LIzgwapzFYvF5nlPiIio2VltxQKokThvFkTwMDExAQDNuyw3ERE1nYmJCUSj0ca+CYctmteSJUtw8uRJtLa2XnDJgbFYDMuWLcPJkyebpuzofOG5yOK5UHgesngulHqcByklJiYmsGTJkjrvnZuFOW6xIIIHTdOwdOnS+d6NmkQikYv6A8GJ5yKL50LhecjiuVBqPQ8N73GwLNCeh4u7wiQRERFVbUH0PBARETWlBdrzwOBhnvn9fnz605+G38+pljwXWTwXCs9DFs+FcsGdhwUaPAjJuSpERER1FYvFEI1GMfqLLyISDta2rckZtL/lLzE+Pt40+S7MeSAiIqKqcNiCiIioURbosAV7HoiIiKgq7HkgIiJqFPY80Gy99NJLuPXWW7Fo0SJEIhFcf/31+OlPf2o//uijj0II4XobGhoque0f/vCHuO666xAMBtHe3o7bbrutwUcze408DwCQSCTwpje9CUIIHDlypIFHUrtGnIvXXnsN27dvx4oVKxAMBnH55Zfj05/+NJLJ5FwdVtUa9TsxMjKC97///YhEImhra8P27dsxOTk5F4c0a+XOheXRRx/F+vXrEQgE0N3djR07dpTc7sDAAD7wgQ+gt7cXoVAIb37zm/G9732vUYdRs0adBwDYv38/Nm3ahFAohEgkgre+9a2YmZlpxGFkWcFDrbcmw+BhDrzzne9EOp3Gf/zHf+Dw4cN44xvfiHe+850YGBgAANxxxx04e/Zszm3Lli34gz/4A3R3dxfd7ve+9z184AMfwIc+9CH8+te/xi9+8Qv88R//8VwdVtUadR4sH//4x+eo3GztGnEujh07BsMw8OUvfxlHjx7FAw88gC996Uv427/927k8tKo06nfi/e9/P44ePYonnngCP/jBD/Czn/0Mf/7nfz5XhzUr5c4FAPzzP/8z/u7v/g6f+MQncPToUfzkJz/Bli1bSm73gx/8IPr7+/Fv//ZveO6557B161a85z3vwa9+9atGH9KsNOo87N+/HzfddBNuvPFG/PKXv8ShQ4fwkY98BJrGZnBWJDXUuXPnJAD5s5/9zL4vFotJAPKJJ55wfc3Q0JD0er3ym9/8ZtHtplIpeckll8ivfe1rdd/nRmjUebD8+7//u1y7dq08evSoBCB/9atf1WvX667R58LpH//xH+WKFStq2t9GadR5eOGFFyQAeejQIfu+H/3oR1IIIU+fPl2/A6ijSs7FyMiIDAaD8ic/+UlV2w6FQgXnq6OjQ371q1+tfcfrrJHn4brrrpOf/OQn67q/pYyPj0sAcvTAQzLz/K6abqMHHpIA5Pj4+JztfzkMuRqss7MTa9aswTe/+U1MTU0hnU7jy1/+Mrq7u7FhwwbX13zzm99ES0sL3v3udxfd7rPPPovTp09D0zRcc801WLx4MW6++WY8//zzjTqUmjTqPADA4OAg/uzP/gzf+ta30NLS0ojdr6tGnot84+Pj6OjoqMdu112jzsP+/fvR1taG3/md37Hv27x5MzRNw8GDB+t+HPVQybl44oknYBgGTp8+jXXr1mHp0qV4z3veg5MnT5bc9u/93u/hX/7lXzAyMgLDMPCd73wH8Xgcb3vb2+bgyKrTqPMwNDSEgwcPoru7G7/3e7+Hnp4e/MEf/AF+/vOfN/6gFuiwBXse5sDJkyflhg0bpBBC6rouFy9eLJ999tmiz1+3bp388Ic/XHKb3/72tyUAuXz5cvnd735XPvPMM/J973uf7OzslMPDw/U+hLpoxHkwDEPedNNN8u///u+llFIeP3686XsepGzMucj38ssvy0gkIr/yla/UursN04jzcN9998krrrii4P6uri750EMP1bzPjVLuXOzcuVN6vV65Zs0a+eMf/1ju379f3nDDDXLNmjUykUgU3e7o6Ki88cYbJQDp8XhkJBKRe/funYtDmpVGnIf9+/dLALKjo0N+/etfl88++6z86Ec/Kn0+n3zppZcachx2z8MvvywzL3yzptvoL7/MnoeF4hOf+ETRRC7rduzYMUgpsWPHDnR3d+Ppp5/GL3/5S9x222245ZZbcPbs2YLt7t+/Hy+++CK2b99e8v0NwwAA/N3f/R22bduGDRs2YNeuXRBCYM+ePQ05ZjfzfR7+x//4H5iYmMC9997bqEOs2HyfC6fTp0/jpptuwh/90R/hz/7sz+p5mGU103mYb/U8F4ZhIJVK4Ytf/CK2bNmCjRs34tvf/jZefvll14RCy6c+9SmMjY3hJz/5CZ555hncc889eM973oPnnnturk7DvJ8H6/Pyv/yX/4IPfehDuOaaa/DAAw9gzZo1+PrXvz5n52EhYXnqWTp37hyGh4dLPmflypV4+umnceONN2J0dDSnrOjq1auxfft2fOITn8h5zfbt2/Hss8+WTWb66U9/ik2bNuHpp5/G9ddfb99/3XXXYfPmzbjvvvtmcVTVm+/zcNttt+Hxxx+HcHTrZTIZ6LqO97///fjGN74xi6Oanfk+F5YzZ87gbW97GzZu3IhHH310zhPC5vs8fP3rX8fHPvYxjI6O2vel02kEAgHs2bMHt99++yyOanbqeS527dqFP/3TP8XJkyexdOlS+zk9PT343Oc+5xokvvrqq1i1ahWef/55XHXVVfb9mzdvxqpVq/ClL32pDkdZ3nyfh+PHj2PlypX41re+hf/8n/+zff8dd9wBj8eD//W//lcdjjKXXZ76l1+pT3nq3/3zpipPzToPs9TV1YWurq6yz5uengaAgg9wTdPsaNgyOTmJf/3Xf8XOnTvLbnfDhg3w+/3o7++3g4dUKoXXXnsNl156aaWHUbP5Pg9f/OIX8bnPfc7+/syZM9iyZQv+5V/+Bdddd10lh1A3830uANXj8Pa3v93uiZqPTPL5Pg99fX0YGxvD4cOH7XHy//iP/4BhGBf078Rb3vIWAEB/f7/daI6MjOD8+fNF/+aLbVfX9YJz3EjzfR4uu+wyLFmyBP39/Tn3v/TSS7j55purO5hqCdShzkNd9qS+5m/E5OJw7tw52dnZKbdu3SqPHDki+/v75V//9V9Lr9crjxw5kvPcr33tazIQCMjR0dGC7Rw8eFCuWbNGnjp1yr7vr/7qr+Qll1wi9+7dK48dOya3b98uu7u75cjISKMPq2qNPA9OF0LOQ6POxalTp+SqVavkDTfcIE+dOiXPnj1r35pRI38nbrrpJnnNNdfIgwcPyp///Ody9erV8n3ve1+jD2nWKj0Xt956q7zqqqvkL37xC/ncc8/Jd77znfLKK6+UyWRSSql+B9asWSMPHjwopZQymUzKVatWyd///d+XBw8elK+88or87//9v0shhPzhD384L8daSqPOg5RSPvDAAzISicg9e/bIl19+WX7yk5+UgUBAvvLKKw05Fjvn4dBXZObF/6+m2+ihrzRdzgODhzlw6NAheeONN8qOjg7Z2toqN27cKP/93/+94Hl9fX3yj//4j1238dOf/lQCkMePH7fvSyaT8mMf+5js7u6Wra2tcvPmzfL5559v1GHUrFHnwelCCB6kbMy52LVrlwTgemtWjfqdGB4elu973/tkOByWkUhEfuhDH5ITExONOoy6qORcjI+Pyz/90z+VbW1tsqOjQ95+++3yxIkT9uPW7/9Pf/pT+76XXnpJbt26VXZ3d8uWlha5fv36qqf8zqVGnQcpVbLl0qVLZUtLi+zr65NPP/10w47DDh6e+ZrMHNtd0230ma81XfDAnAciIqI6s3MennkEkXBtU8hjk9No/53tTZXzwNkWREREVBUmTBIRETXKAl0Yi8EDERFRw2iovZO/+QYJmm+PiIiIqKmx54GIiKhROGxBRERE1anHwlYMHoiIiC4iArU3/s0XPDDngYiIiKrCngciIqJGEZq61bqNJsPggYiIqFEWaMJk84UzRERE1NTY80BERNQwCzNhksEDERFRoyzQnIfm2yMiIiJqagweiIiIGkQIUZdbNX72s5/hlltuwZIlSyCEwPe///2cx6WU+G//7b9h8eLFCAaD2Lx5M15++eWq3oPBAxERUcOIOt0qNzU1hTe+8Y148MEHXR//x3/8R3zxi1/El770JRw8eBChUAhbtmxBPB6v+D2Y80BERHQBiMViOd/7/X74/f6C59188824+eabXbchpcTnP/95fPKTn8Stt94KAPjmN7+Jnp4efP/738d73/veivaFPQ9ERESNIkQ2aXLWN9XzsGzZMkSjUfu2c+fOqnfn+PHjGBgYwObNm+37otEorrvuOuzfv7/i7bDngYiIqGHqN1Xz5MmTiEQi9r1uvQ7lDAwMAAB6enpy7u/p6bEfqwSDByIiokapY4XJSCSSEzzMJw5bEBERXSR6e3sBAIODgzn3Dw4O2o9VgsEDERFRo9Sc71CHIlMOK1asQG9vL5588kn7vlgshoMHD6Kvr6/i7XDYgoiIqGHmvjz15OQkXnnlFfv748eP48iRI+jo6MDy5cvx0Y9+FJ/73OewevVqrFixAp/61KewZMkS3HbbbRW/B4MHIiKiBeSZZ57B29/+dvv7e+65BwBw55134tFHH8XHP/5xTE1N4c///M8xNjaG66+/Hj/+8Y8RCAQqfg8hpZR133MiIqKLWCwWQzQaxdgL/4ZIa6i2bU1Moe3Kd2F8fLxpEibZ80BERNQoXBiLiIiIiD0PREREDTT3CZNzgcEDERFRo9SxSFQz4bAFERERVYU9D0RERA2jofbr9Oa7zmfwQERE1CgLdNiCwQMREVGjLNDgofn6QoiIiKipseeBiIioYZjzQERERNXgsAURERERex6IiIgarPl6DmrF4IGIiKhROGxBRERExJ4HIiKiBuLCWERERFQNDlsQERERseeBiIiogVgkioiIiKqxQIctGDwQERE1zMJMmGy+vhAiIiJqaux5ICIiahQOWxAREVF1OGxBRERExJ4HIiKixqnDsEUT9jwweCAiImoYDlsQERERseeBiIioYTjbgoiIiKqzMMtTN98eERERUVNjzwMREVGjcNiCiIiIqrMwZ1sweCAiImqYhRk8MOeBiIiIqsKeByIiogZRKQ+19Rw0YcoDgwciIqLG4bAFEREREXseiIiIGoZTNYmIiKg6HLYgIiIiYs8DERFRwwhN3WrdRpNh8EBERNQwHLYgIiIiYs8DERFRw3C2BREREVVnYQ5bMHggIiJqlAXa88CcByIiIqoKex6IiIgahsMWREREVA0OWxARERGx54GIiKiBOGxBRERE1Vig5ambb4+IiIioqbHngYiIqGE4bEFERETV4GwLIiIiIvY8EBERNUwsNolahx3UNpoLgwciIqI68/l86O3txbLV6+uyvd7eXvh8vrpsqx6ElFLO904QEREtNPF4HMlksi7b8vl8CAQCddlWPTB4ICIioqowYZKIiIiqwuCBiIiIqsLggYiIiKrC4IGIiIiqwuCBiIiIqsLggYiIiKrC4IGIiIiq8v8D4tGNmWVjXm8AAAAASUVORK5CYII=", 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", "text/plain": [ "
" ] @@ -3547,24 +3768,23 @@ { "cell_type": "code", "execution_count": 47, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:06.927865Z", + "iopub.status.busy": "2024-08-16T20:42:06.927506Z", + "iopub.status.idle": "2024-08-16T20:42:09.473406Z", + "shell.execute_reply": "2024-08-16T20:42:09.472839Z" + } + }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ "-Usable results-\n", - "count 53275.000000\n", - "mean 7.351911\n", - "std 0.904735\n", + "count 53848.000000\n", + "mean 7.350540\n", + "std 0.904746\n", "min 0.500000\n", "25% 6.890000\n", "50% 7.700000\n", @@ -3573,12 +3793,12 @@ "dtype: float64\n", "Unusable results: 51\n", "Usable results with inferred units: 36\n", - "Results outside threshold (0.0 to 12.780318316667021): 1\n" + "Results outside threshold (0.0 to 12.779014312576805): 1\n" ] }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -3602,7 +3822,14 @@ { "cell_type": "code", "execution_count": 48, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:09.475861Z", + "iopub.status.busy": "2024-08-16T20:42:09.475486Z", + "iopub.status.idle": "2024-08-16T20:42:09.549260Z", + "shell.execute_reply": "2024-08-16T20:42:09.548698Z" + } + }, "outputs": [ { "data": { @@ -3640,28 +3867,28 @@ " 7.29 dimensionless\n", " \n", " \n", - " 11\n", + " 12\n", " 7.45\n", " None\n", " NaN\n", " 7.45 dimensionless\n", " \n", " \n", - " 13\n", + " 15\n", " 6.57\n", " None\n", " NaN\n", " 6.57 dimensionless\n", " \n", " \n", - " 14\n", + " 16\n", " 6.57\n", " None\n", " NaN\n", " 6.57 dimensionless\n", " \n", " \n", - " 16\n", + " 18\n", " 7.72\n", " None\n", " NaN\n", @@ -3675,73 +3902,73 @@ " ...\n", " \n", " \n", - " 384406\n", - " 7.2\n", + " 398001\n", + " 8.0248\n", " None\n", " NaN\n", - " 7.2 dimensionless\n", + " 8.0248 dimensionless\n", " \n", " \n", - " 384407\n", - " 7.3\n", + " 398004\n", + " 8.0601\n", " None\n", " NaN\n", - " 7.3 dimensionless\n", + " 8.0601 dimensionless\n", " \n", " \n", - " 384411\n", - " 7.64\n", + " 398005\n", + " 7.8848\n", " None\n", " NaN\n", - " 7.64 dimensionless\n", + " 7.8848 dimensionless\n", " \n", " \n", - " 384414\n", - " 4.98\n", + " 398019\n", + " 8.0619\n", " None\n", " NaN\n", - " 4.98 dimensionless\n", + " 8.0619 dimensionless\n", " \n", " \n", - " 384416\n", - " 7.93\n", + " 398022\n", + " 4.12\n", " None\n", " NaN\n", - " 7.93 dimensionless\n", + " 4.12 dimensionless\n", " \n", " \n", "\n", - "

53326 rows × 4 columns

\n", + "

53899 rows × 4 columns

\n", "" ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag \\\n", "0 7.29 None NaN \n", - "11 7.45 None NaN \n", - "13 6.57 None NaN \n", - "14 6.57 None NaN \n", - "16 7.72 None NaN \n", + "12 7.45 None NaN \n", + "15 6.57 None NaN \n", + "16 6.57 None NaN \n", + "18 7.72 None NaN \n", "... ... ... ... \n", - "384406 7.2 None NaN \n", - "384407 7.3 None NaN \n", - "384411 7.64 None NaN \n", - "384414 4.98 None NaN \n", - "384416 7.93 None NaN \n", - "\n", - " pH \n", - "0 7.29 dimensionless \n", - "11 7.45 dimensionless \n", - "13 6.57 dimensionless \n", - "14 6.57 dimensionless \n", - "16 7.72 dimensionless \n", - "... ... \n", - "384406 7.2 dimensionless \n", - "384407 7.3 dimensionless \n", - "384411 7.64 dimensionless \n", - "384414 4.98 dimensionless \n", - "384416 7.93 dimensionless \n", - "\n", - "[53326 rows x 4 columns]" + "398001 8.0248 None NaN \n", + "398004 8.0601 None NaN \n", + "398005 7.8848 None NaN \n", + "398019 8.0619 None NaN \n", + "398022 4.12 None NaN \n", + "\n", + " pH \n", + "0 7.29 dimensionless \n", + "12 7.45 dimensionless \n", + "15 6.57 dimensionless \n", + "16 6.57 dimensionless \n", + "18 7.72 dimensionless \n", + "... ... \n", + "398001 8.0248 dimensionless \n", + "398004 8.0601 dimensionless \n", + "398005 7.8848 dimensionless \n", + "398019 8.0619 dimensionless \n", + "398022 4.12 dimensionless \n", + "\n", + "[53899 rows x 4 columns]" ] }, "execution_count": 48, @@ -3770,38 +3997,37 @@ { "cell_type": "code", "execution_count": 49, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:09.551904Z", + "iopub.status.busy": "2024-08-16T20:42:09.551517Z", + "iopub.status.idle": "2024-08-16T20:42:16.547515Z", + "shell.execute_reply": "2024-08-16T20:42:16.546904Z" + } + }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ "-Usable results-\n", - "count 67623.000000\n", - "mean 16.269404\n", - "std 157.060309\n", + "count 68190.000000\n", + "mean 16.236781\n", + "std 156.409068\n", "min 0.000000\n", - "25% 6.600000\n", + "25% 6.500000\n", "50% 16.400000\n", - "75% 23.580000\n", + "75% 23.520000\n", "max 37782.000000\n", "dtype: float64\n", "Unusable results: 416\n", "Usable results with inferred units: 10\n", - "Results outside threshold (0.0 to 958.6312594284706): 4\n" + "Results outside threshold (0.0 to 954.6911897215225): 4\n" ] }, { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -3818,7 +4044,14 @@ { "cell_type": "code", "execution_count": 50, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:16.549859Z", + "iopub.status.busy": "2024-08-16T20:42:16.549475Z", + "iopub.status.idle": "2024-08-16T20:42:16.635505Z", + "shell.execute_reply": "2024-08-16T20:42:16.634898Z" + } + }, "outputs": [ { "data": { @@ -3870,14 +4103,14 @@ " 0.03 Practical_Salinity_Units\n", " \n", " \n", - " 15\n", + " 17\n", " 0.50\n", " ppth\n", " NaN\n", " 0.5 Practical_Salinity_Units\n", " \n", " \n", - " 17\n", + " 19\n", " 3.3\n", " ppth\n", " NaN\n", @@ -3891,43 +4124,43 @@ " ...\n", " \n", " \n", - " 384384\n", - " 26.3\n", - " ppth\n", + " 397991\n", + " 31.2037\n", + " ppt\n", " NaN\n", - " 26.3 Practical_Salinity_Units\n", + " 31.2037 Practical_Salinity_Units\n", " \n", " \n", - " 384387\n", - " 10.06\n", - " ppth\n", + " 397994\n", + " 34.7405\n", + " ppt\n", " NaN\n", - " 10.06 Practical_Salinity_Units\n", + " 34.7405 Practical_Salinity_Units\n", " \n", " \n", - " 384393\n", - " 17.88\n", - " ppth\n", + " 398003\n", + " 4.9582\n", + " ppt\n", " NaN\n", - " 17.88 Practical_Salinity_Units\n", + " 4.9582 Practical_Salinity_Units\n", " \n", " \n", - " 384403\n", - " 21.01\n", - " ppth\n", + " 398011\n", + " 19.277\n", + " ppt\n", " NaN\n", - " 21.01 Practical_Salinity_Units\n", + " 19.277 Practical_Salinity_Units\n", " \n", " \n", - " 384413\n", - " .02\n", + " 398021\n", + " 20.1538\n", " ppt\n", " NaN\n", - " 0.02 Practical_Salinity_Units\n", + " 20.1538 Practical_Salinity_Units\n", " \n", " \n", "\n", - "

68039 rows × 4 columns

\n", + "

68606 rows × 4 columns

\n", "" ], "text/plain": [ @@ -3935,29 +4168,29 @@ "4 18.9 ppth NaN \n", "6 11.82 ppth NaN \n", "10 .03 ppt NaN \n", - "15 0.50 ppth NaN \n", - "17 3.3 ppth NaN \n", + "17 0.50 ppth NaN \n", + "19 3.3 ppth NaN \n", "... ... ... ... \n", - "384384 26.3 ppth NaN \n", - "384387 10.06 ppth NaN \n", - "384393 17.88 ppth NaN \n", - "384403 21.01 ppth NaN \n", - "384413 .02 ppt NaN \n", - "\n", - " Salinity \n", - "4 18.9 Practical_Salinity_Units \n", - "6 11.82 Practical_Salinity_Units \n", - "10 0.03 Practical_Salinity_Units \n", - "15 0.5 Practical_Salinity_Units \n", - "17 3.3 Practical_Salinity_Units \n", - "... ... \n", - "384384 26.3 Practical_Salinity_Units \n", - "384387 10.06 Practical_Salinity_Units \n", - "384393 17.88 Practical_Salinity_Units \n", - "384403 21.01 Practical_Salinity_Units \n", - "384413 0.02 Practical_Salinity_Units \n", - "\n", - "[68039 rows x 4 columns]" + "397991 31.2037 ppt NaN \n", + "397994 34.7405 ppt NaN \n", + "398003 4.9582 ppt NaN \n", + "398011 19.277 ppt NaN \n", + "398021 20.1538 ppt NaN \n", + "\n", + " Salinity \n", + "4 18.9 Practical_Salinity_Units \n", + "6 11.82 Practical_Salinity_Units \n", + "10 0.03 Practical_Salinity_Units \n", + "17 0.5 Practical_Salinity_Units \n", + "19 3.3 Practical_Salinity_Units \n", + "... ... \n", + "397991 31.2037 Practical_Salinity_Units \n", + "397994 34.7405 Practical_Salinity_Units \n", + "398003 4.9582 Practical_Salinity_Units \n", + "398011 19.277 Practical_Salinity_Units \n", + "398021 20.1538 Practical_Salinity_Units \n", + "\n", + "[68606 rows x 4 columns]" ] }, "execution_count": 50, @@ -3980,16 +4213,21 @@ { "cell_type": "code", "execution_count": 51, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:16.637870Z", + "iopub.status.busy": "2024-08-16T20:42:16.637489Z", + "iopub.status.idle": "2024-08-16T20:42:20.625201Z", + "shell.execute_reply": "2024-08-16T20:42:20.624527Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\wq_data.py:329: UserWarning: WARNING: 'cm3/g' UNDEFINED UNIT for Nitrogen\n", - " warn(\"WARNING: \" + problem)\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'cm3/g' UNDEFINED UNIT for Nitrogen\n", + " warn(\"WARNING: \" + problem)\n" ] }, { @@ -4013,7 +4251,7 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -4030,7 +4268,14 @@ { "cell_type": "code", "execution_count": 52, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:20.628077Z", + "iopub.status.busy": "2024-08-16T20:42:20.627474Z", + "iopub.status.idle": "2024-08-16T20:42:20.655895Z", + "shell.execute_reply": "2024-08-16T20:42:20.655268Z" + } + }, "outputs": [ { "data": { @@ -4061,35 +4306,35 @@ " \n", " \n", " \n", - " 40875\n", + " 43125\n", " 0.3\n", " mg/L\n", " NaN\n", " 0.3 milligram / liter\n", " \n", " \n", - " 41075\n", + " 43334\n", " 0.36\n", " mg/L\n", " NaN\n", " 0.36 milligram / liter\n", " \n", " \n", - " 41210\n", + " 43483\n", " 0.33875\n", " mg/L\n", " NaN\n", " 0.33875 milligram / liter\n", " \n", " \n", - " 41327\n", + " 43605\n", " 0.53125\n", " mg/L\n", " NaN\n", " 0.53125 milligram / liter\n", " \n", " \n", - " 41836\n", + " 44139\n", " 135\n", " mg/kg\n", " NaN\n", @@ -4103,35 +4348,35 @@ " ...\n", " \n", " \n", - " 382877\n", + " 396609\n", " 18.69\n", " mg/l\n", " NaN\n", " 18.69 milligram / liter\n", " \n", " \n", - " 382884\n", + " 396616\n", " 16.18\n", " mg/l\n", " NaN\n", " 16.18 milligram / liter\n", " \n", " \n", - " 382885\n", + " 396617\n", " 18.99\n", " mg/l\n", " NaN\n", " 18.99 milligram / liter\n", " \n", " \n", - " 382888\n", + " 396620\n", " 18.72\n", " mg/l\n", " NaN\n", " 18.72 milligram / liter\n", " \n", " \n", - " 382890\n", + " 396622\n", " 17.61\n", " mg/l\n", " NaN\n", @@ -4144,30 +4389,30 @@ ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag \\\n", - "40875 0.3 mg/L NaN \n", - "41075 0.36 mg/L NaN \n", - "41210 0.33875 mg/L NaN \n", - "41327 0.53125 mg/L NaN \n", - "41836 135 mg/kg NaN \n", + "43125 0.3 mg/L NaN \n", + "43334 0.36 mg/L NaN \n", + "43483 0.33875 mg/L NaN \n", + "43605 0.53125 mg/L NaN \n", + "44139 135 mg/kg NaN \n", "... ... ... ... \n", - "382877 18.69 mg/l NaN \n", - "382884 16.18 mg/l NaN \n", - "382885 18.99 mg/l NaN \n", - "382888 18.72 mg/l NaN \n", - "382890 17.61 mg/l NaN \n", + "396609 18.69 mg/l NaN \n", + "396616 16.18 mg/l NaN \n", + "396617 18.99 mg/l NaN \n", + "396620 18.72 mg/l NaN \n", + "396622 17.61 mg/l NaN \n", "\n", " Nitrogen \n", - "40875 0.3 milligram / liter \n", - "41075 0.36 milligram / liter \n", - "41210 0.33875 milligram / liter \n", - "41327 0.53125 milligram / liter \n", - "41836 135.00000000000003 milligram / liter \n", + "43125 0.3 milligram / liter \n", + "43334 0.36 milligram / liter \n", + "43483 0.33875 milligram / liter \n", + "43605 0.53125 milligram / liter \n", + "44139 135.00000000000003 milligram / liter \n", "... ... \n", - "382877 18.69 milligram / liter \n", - "382884 16.18 milligram / liter \n", - "382885 18.99 milligram / liter \n", - "382888 18.72 milligram / liter \n", - "382890 17.61 milligram / liter \n", + "396609 18.69 milligram / liter \n", + "396616 16.18 milligram / liter \n", + "396617 18.99 milligram / liter \n", + "396620 18.72 milligram / liter \n", + "396622 17.61 milligram / liter \n", "\n", "[113 rows x 4 columns]" ] @@ -4192,16 +4437,15 @@ { "cell_type": "code", "execution_count": 53, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:20.658074Z", + "iopub.status.busy": "2024-08-16T20:42:20.657888Z", + "iopub.status.idle": "2024-08-16T20:42:22.701905Z", + "shell.execute_reply": "2024-08-16T20:42:22.701136Z" + } + }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" - ] - }, { "name": "stdout", "output_type": "stream", @@ -4223,7 +4467,7 @@ }, { "data": { - "image/png": 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", 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eTo9FH91BH91BH93Rl/vY/glIZ8QUUCZPnqz9+/dHrbv//vs1atQoPf7448rKypLH41F1dbWKi4slSXV1daqvr1cgEJAkBQIBff/731djY6PS09MlfZYifT6fcnJyznlcr9crr9fbYb3H4+myFzfcFqdw64UDSl97Y12MrnyN+hL66A766A766I6+2MdY5htTQBk0aJCuu+66qHUDBgzQkCFDnPUzZ85UWVmZ0tLS5PP59PDDDysQCCgvL0+SVFBQoJycHN13331atmyZQqGQ5s2bp9LS0nOGEAAA0PfEfJHsF3n22WcVHx+v4uJihcNhFRYW6oUXXnC29+vXTxs3btSsWbMUCAQ0YMAAlZSUaPHixW4PBQAA9FCXHFDefPPNqOWkpCRVVlaqsrLyvM8ZPnw4F5gCAIDz4rd4AACAdQgoAADAOgQUAABgHQIKAACwDgEFAABYh4ACAACsQ0ABAADWIaAAAADrEFAAAIB1CCgAAMA6BBQAAGAdAgoAALAOAQUAAFiHgAIAAKxDQAEAANYhoAAAAOsQUAAAgHUIKAAAwDoEFAAAYB0CCgAAsA4BBQAAWIeAAgAArENAAQAA1iGgAAAA6xBQAACAdQgoAADAOgQUAABgHQIKAACwDgEFAABYh4ACAACsQ0ABAADWIaAAAADrEFAAAIB1CCgAAMA6BBQAAGAdAgoAALAOAQUAAFiHgAIAAKxDQAEAANYhoAAAAOsQUAAAgHUIKAAAwDoEFAAAYB0CCgAAsA4BBQAAWIeAAgAArENAAQAA1okpoKxYsUJjx46Vz+eTz+dTIBDQq6++6mw/ffq0SktLNWTIEA0cOFDFxcVqaGiI2kd9fb2KioqUnJys9PR0zZ07V2fOnHFnNgAAoFeIKaBcccUVWrp0qWpra7V3715NmjRJd955pw4ePChJevTRR/XKK69o3bp12rZtm44cOaJ77rnHeX5ra6uKiorU0tKiHTt26KWXXtLq1as1f/58d2cFAAB6tIRYiu+4446o5e9///tasWKFdu7cqSuuuEIvvvii1qxZo0mTJkmSVq1apdGjR2vnzp3Ky8tTVVWVDh06pNdff11+v1/jxo3TkiVL9Pjjj2vhwoVKTEx0b2YAAKDHiimgfF5ra6vWrVunkydPKhAIqLa2VpFIRPn5+U7NqFGjlJ2drZqaGuXl5ammpkZjxoyR3+93agoLCzVr1iwdPHhQN9xwwzmPFQ6HFQ6HneXm5mZJUiQSUSQSudgpnFP7/rzxptO16Ki9N/To0tBHd9BHd9BHd/TlPsYy55gDyv79+xUIBHT69GkNHDhQ69evV05Ojvbt26fExESlpqZG1fv9foVCIUlSKBSKCift29u3nU9FRYUWLVrUYX1VVZWSk5NjnUKnLJnQ9oU1mzdv7pJj9ybBYLC7h9Ar0Ed30Ed30Ed39MU+njp1qtO1MQeUkSNHat++fTp27Jh+8YtfqKSkRNu2bYt1NzEpLy9XWVmZs9zc3KysrCwVFBTI5/O5eqxIJKJgMKgn98Yr3BZ3wdoDCwtdPXZv0t7HKVOmyOPxdPdweiz66A766A766I6+3Mf2T0A6I+aAkpiYqKuuukqSNH78eO3Zs0c//OEPNW3aNLW0tKipqSnqLEpDQ4MyMjIkSRkZGdq9e3fU/trv8mmvORev1yuv19thvcfj6bIXN9wWp3DrhQNKX3tjXYyufI36EvroDvroDvrojr7Yx1jme8nfg9LW1qZwOKzx48fL4/Gourra2VZXV6f6+noFAgFJUiAQ0P79+9XY2OjUBINB+Xw+5eTkXOpQAABALxHTGZTy8nJNnTpV2dnZOn78uNasWaM333xTr732mlJSUjRz5kyVlZUpLS1NPp9PDz/8sAKBgPLy8iRJBQUFysnJ0X333adly5YpFApp3rx5Ki0tPecZEgAA0DfFFFAaGxv1rW99Sx9//LFSUlI0duxYvfbaa5oyZYok6dlnn1V8fLyKi4sVDodVWFioF154wXl+v379tHHjRs2aNUuBQEADBgxQSUmJFi9e7O6sAABAjxZTQHnxxRcvuD0pKUmVlZWqrKw8b83w4cO5+wUAAFwQv8UDAACsQ0ABAADWIaAAAADrEFAAAIB1CCgAAMA6BBQAAGAdAgoAALAOAQUAAFiHgAIAAKxDQAEAANYhoAAAAOsQUAAAgHUIKAAAwDoEFAAAYB0CCgAAsA4BBQAAWIeAAgAArENAAQAA1iGgAAAA6xBQAACAdQgoAADAOgQUAABgHQIKAACwDgEFAABYh4ACAACsQ0ABAADWIaAAAADrEFAAAIB1CCgAAMA6BBQAAGAdAgoAALAOAQUAAFiHgAIAAKxDQAEAANYhoAAAAOsQUAAAgHUIKAAAwDoEFAAAYB0CCgAAsA4BBQAAWIeAAgAArENAAQAA1iGgAAAA6xBQAACAdQgoAADAOgQUAABgnZgCSkVFhW666SYNGjRI6enpuuuuu1RXVxdVc/r0aZWWlmrIkCEaOHCgiouL1dDQEFVTX1+voqIiJScnKz09XXPnztWZM2cufTYAAKBXiCmgbNu2TaWlpdq5c6eCwaAikYgKCgp08uRJp+bRRx/VK6+8onXr1mnbtm06cuSI7rnnHmd7a2urioqK1NLSoh07duill17S6tWrNX/+fPdmBQAAerSEWIq3bNkStbx69Wqlp6ertrZWX/va13Ts2DG9+OKLWrNmjSZNmiRJWrVqlUaPHq2dO3cqLy9PVVVVOnTokF5//XX5/X6NGzdOS5Ys0eOPP66FCxcqMTHRvdkBAIAeKaaAcrZjx45JktLS0iRJtbW1ikQiys/Pd2pGjRql7Oxs1dTUKC8vTzU1NRozZoz8fr9TU1hYqFmzZungwYO64YYbOhwnHA4rHA47y83NzZKkSCSiSCRyKVPooH1/3njT6Vp01N4benRp6KM76KM76KM7+nIfY5nzRQeUtrY2zZkzRzfffLOuu+46SVIoFFJiYqJSU1Ojav1+v0KhkFPz+XDSvr1927lUVFRo0aJFHdZXVVUpOTn5YqdwQUsmtH1hzebNm7vk2L1JMBjs7iH0CvTRHfTRHfTRHX2xj6dOnep07UUHlNLSUh04cEBvvfXWxe6i08rLy1VWVuYsNzc3KysrSwUFBfL5fK4eKxKJKBgM6sm98Qq3xV2w9sDCQleP3Zu093HKlCnyeDzdPZweiz66gz66gz66oy/3sf0TkM64qIAye/Zsbdy4Udu3b9cVV1zhrM/IyFBLS4uampqizqI0NDQoIyPDqdm9e3fU/trv8mmvOZvX65XX6+2w3uPxdNmLG26LU7j1wgGlr72xLkZXvkZ9CX10B310B310R1/sYyzzjekuHmOMZs+erfXr12vr1q0aMWJE1Pbx48fL4/GourraWVdXV6f6+noFAgFJUiAQ0P79+9XY2OjUBINB+Xw+5eTkxDIcAADQS8V0BqW0tFRr1qzRL3/5Sw0aNMi5ZiQlJUX9+/dXSkqKZs6cqbKyMqWlpcnn8+nhhx9WIBBQXl6eJKmgoEA5OTm67777tGzZMoVCIc2bN0+lpaXnPEsCAAD6npgCyooVKyRJX//616PWr1q1Sn/9138tSXr22WcVHx+v4uJihcNhFRYW6oUXXnBq+/Xrp40bN2rWrFkKBAIaMGCASkpKtHjx4kubCQAA6DViCijGfPGtt0lJSaqsrFRlZeV5a4YPH84dMAAA4Lz4LR4AAGAdAgoAALAOAQUAAFiHgAIAAKxDQAEAANYhoAAAAOsQUAAAgHUIKAAAwDoEFAAAYB0CCgAAsA4BBQAAWIeAAgAArENAAQAA1iGgAAAA6xBQAACAdQgoAADAOgQUAABgHQIKAACwDgEFAABYh4ACAACsQ0ABAADWIaAAAADrEFAAAIB1CCgAAMA6BBQAAGAdAgoAALAOAQUAAFiHgAIAAKxDQAEAANYhoAAAAOsQUAAAgHUIKAAAwDoEFAAAYB0CCgAAsA4BBQAAWIeAAgAArENAAQAA1iGgAAAA6xBQAACAdQgoAADAOgQUAABgHQIKAACwDgEFAABYh4ACAACsk9DdA+jJrnxiU6dr/7C0qAtHAgBA78IZFAAAYB0CCgAAsE7MAWX79u264447lJmZqbi4OG3YsCFquzFG8+fP17Bhw9S/f3/l5+fr/fffj6o5evSoZsyYIZ/Pp9TUVM2cOVMnTpy4pIkAAIDeI+aAcvLkSV1//fWqrKw85/Zly5bpueee08qVK7Vr1y4NGDBAhYWFOn36tFMzY8YMHTx4UMFgUBs3btT27dv14IMPXvwsAABArxLzRbJTp07V1KlTz7nNGKPly5dr3rx5uvPOOyVJP/3pT+X3+7VhwwZNnz5d7733nrZs2aI9e/ZowoQJkqTnn39et99+u55++mllZmZewnQAAEBv4OpdPIcPH1YoFFJ+fr6zLiUlRbm5uaqpqdH06dNVU1Oj1NRUJ5xIUn5+vuLj47Vr1y7dfffdHfYbDocVDoed5ebmZklSJBJRJBJxcwrO/rzxpkv221e0z7evzdtt9NEd9NEd9NEdfbmPsczZ1YASCoUkSX6/P2q93+93toVCIaWnp0cPIiFBaWlpTs3ZKioqtGjRog7rq6qqlJyc7MbQO1gyoc3V/W3evNnV/fUUwWCwu4fQK9BHd9BHd9BHd/TFPp46darTtT3ie1DKy8tVVlbmLDc3NysrK0sFBQXy+XyuHisSiSgYDOrJvfEKt8W5tt8DCwtd21dP0N7HKVOmyOPxdPdweiz66A766A766I6+3Mf2T0A6w9WAkpGRIUlqaGjQsGHDnPUNDQ0aN26cU9PY2Bj1vDNnzujo0aPO88/m9Xrl9Xo7rPd4PF324obb4hRudS+g9LU3YbuufI36EvroDvroDvrojr7Yx1jm6+r3oIwYMUIZGRmqrq521jU3N2vXrl0KBAKSpEAgoKamJtXW1jo1W7duVVtbm3Jzc90cDgAA6KFiPoNy4sQJffDBB87y4cOHtW/fPqWlpSk7O1tz5szR9773PV199dUaMWKEnnzySWVmZuquu+6SJI0ePVq33XabHnjgAa1cuVKRSESzZ8/W9OnTuYMHAABIuoiAsnfvXv35n/+5s9x+bUhJSYlWr16txx57TCdPntSDDz6opqYm3XLLLdqyZYuSkpKc5/zsZz/T7NmzNXnyZMXHx6u4uFjPPfecC9MBAAC9QcwB5etf/7qMOf8tuHFxcVq8eLEWL1583pq0tDStWbMm1kMDAIA+gt/iAQAA1iGgAAAA6xBQAACAdQgoAADAOj3im2QB4HyufGLTF9Z4+xktm/glDAaAaziDAgAArENAAQAA1iGgAAAA6xBQAACAdQgoAADAOgQUAABgHQIKAACwDt+DAgBn6cx3q7T7w9KiLhwJ0HdxBgUAAFiHMygAcAk42wJ0Dc6gAAAA6xBQAACAdQgoAADAOgQUAABgHQIKAACwDnfxAOgzrlv4msKtcd09DACdQEAB0AG3zgLobgQUAPiSEPyAzuMaFAAAYB0CCgAAsA4BBQAAWIdrUIBL0FXXFLTv19vPaNnE89990pOuU4ilVwBAQAF6MC66BNBbEVAAXBLOjADoCgQU4Cz8hQsbdPZ9yJkx9FYEFOBLQvABgM4joKBH4xoM9HX8P4DeituMAQCAdQgoAADAOnzEA/QRXAMDoCchoKDP4C9oAD0F1xbxEQ8AALAQZ1BgHc50AAAIKAAAnIWPWLofAQUAgEtAmOkaXIMCAACswxkUdMC/BgCgd+pJf74TUAAAX4qu+suRH1bsnQgouCTn+4PB289o2UTpuoWvKdwaJ4k/HAB0L+4Q7FkIKD0c/3IA0Fk96fQ+QEABAHRwrjDDmVF8mbo1oFRWVuoHP/iBQqGQrr/+ej3//POaOHFidw6py/AvF06vAug8/rxAtwWUf//3f1dZWZlWrlyp3NxcLV++XIWFhaqrq1N6enp3DQsAEAOCRGyufGLTOc9EoaNuCyjPPPOMHnjgAd1///2SpJUrV2rTpk36yU9+oieeeKK7htVr8YcIAKAn6ZaA0tLSotraWpWXlzvr4uPjlZ+fr5qamg714XBY4XDYWT527Jgk6ejRo4pEIq6OLRKJ6NSpU0qIxKu1rXuS7VV//3Kna229iCihzejUqbZu7WNvQB/dQR/dQR/d4XYfP/nkk84f+8zJLtlvZx0/flySZIz54mLTDT766CMjyezYsSNq/dy5c83EiRM71C9YsMBI4sGDBw8ePHj0gseHH374hVnB1n+ARykvL1dZWZmz3NbWpqNHj2rIkCGKi3M3xTc3NysrK0sffvihfD6fq/vuS+ijO+ijO+ijO+ijO/pyH40xOn78uDIzM7+wtlsCytChQ9WvXz81NDRErW9oaFBGRkaHeq/XK6/XG7UuNTW1K4con8/X5944XYE+uoM+uoM+uoM+uqOv9jElJaVTdd3yY4GJiYkaP368qqurnXVtbW2qrq5WIBDojiEBAACLdNtHPGVlZSopKdGECRM0ceJELV++XCdPnnTu6gEAAH1XtwWUadOm6Y9//KPmz5+vUCikcePGacuWLfL7/d01JEmffZy0YMGCDh8pITb00R300R300R300R30sXPijOnMvT4AAABfnm65BgUAAOBCCCgAAMA6BBQAAGAdAgoAALAOAeVzKisrdeWVVyopKUm5ubnavXt3dw/pS7N9+3bdcccdyszMVFxcnDZs2BC13Rij+fPna9iwYerfv7/y8/P1/vvvR9UcPXpUM2bMkM/nU2pqqmbOnKkTJ05E1bz77ru69dZblZSUpKysLC1btqzDWNatW6dRo0YpKSlJY8aM0ebNm12fb1epqKjQTTfdpEGDBik9PV133XWX6urqompOnz6t0tJSDRkyRAMHDlRxcXGHLy2sr69XUVGRkpOTlZ6errlz5+rMmTNRNW+++aZuvPFGeb1eXXXVVVq9enWH8fTU9/SKFSs0duxY54usAoGAXn31VWc7Pbw4S5cuVVxcnObMmeOso5eds3DhQsXFxUU9Ro0a5Wynj13AlR/X6QXWrl1rEhMTzU9+8hNz8OBB88ADD5jU1FTT0NDQ3UP7UmzevNn8wz/8g/nP//xPI8msX78+avvSpUtNSkqK2bBhg/nNb35j/uIv/sKMGDHCfPrpp07NbbfdZq6//nqzc+dO81//9V/mqquuMvfee6+z/dixY8bv95sZM2aYAwcOmJ///Oemf//+5kc/+pFT8/bbb5t+/fqZZcuWmUOHDpl58+YZj8dj9u/f3+U9cENhYaFZtWqVOXDggNm3b5+5/fbbTXZ2tjlx4oRT89BDD5msrCxTXV1t9u7da/Ly8sxXv/pVZ/uZM2fMddddZ/Lz880777xjNm/ebIYOHWrKy8udmt///vcmOTnZlJWVmUOHDpnnn3/e9OvXz2zZssWp6cnv6V/96ldm06ZN5re//a2pq6sz3/3ud43H4zEHDhwwxtDDi7F7925z5ZVXmrFjx5pHHnnEWU8vO2fBggXm2muvNR9//LHz+OMf/+hsp4/uI6D8fxMnTjSlpaXOcmtrq8nMzDQVFRXdOKrucXZAaWtrMxkZGeYHP/iBs66pqcl4vV7z85//3BhjzKFDh4wks2fPHqfm1VdfNXFxceajjz4yxhjzwgsvmMGDB5twOOzUPP7442bkyJHO8je/+U1TVFQUNZ7c3Fzzt3/7t67O8cvS2NhoJJlt27YZYz7rm8fjMevWrXNq3nvvPSPJ1NTUGGM+C4vx8fEmFAo5NStWrDA+n8/p3WOPPWauvfbaqGNNmzbNFBYWOsu97T09ePBg86//+q/08CIcP37cXH311SYYDJo/+7M/cwIKvey8BQsWmOuvv/6c2+hj1+AjHkktLS2qra1Vfn6+sy4+Pl75+fmqqanpxpHZ4fDhwwqFQlH9SUlJUW5urtOfmpoapaamasKECU5Nfn6+4uPjtWvXLqfma1/7mhITE52awsJC1dXV6U9/+pNT8/njtNf01Nfh2LFjkqS0tDRJUm1trSKRSNQcR40apezs7KhejhkzJupLCwsLC9Xc3KyDBw86NRfqU296T7e2tmrt2rU6efKkAoEAPbwIpaWlKioq6jBfehmb999/X5mZmfrKV76iGTNmqL6+XhJ97CoEFEn/+7//q9bW1g7fYuv3+xUKhbppVPZo78GF+hMKhZSenh61PSEhQWlpaVE159rH549xvpqe+Dq0tbVpzpw5uvnmm3XddddJ+mx+iYmJHX7s8uxeXmyfmpub9emnn/aK9/T+/fs1cOBAeb1ePfTQQ1q/fr1ycnLoYYzWrl2rX//616qoqOiwjV52Xm5urlavXq0tW7ZoxYoVOnz4sG699VYdP36cPnaRbvuqe6C3Ky0t1YEDB/TWW29191B6pJEjR2rfvn06duyYfvGLX6ikpETbtm3r7mH1KB9++KEeeeQRBYNBJSUldfdwerSpU6c6/z127Fjl5uZq+PDhevnll9W/f/9uHFnvxRkUSUOHDlW/fv06XHHd0NCgjIyMbhqVPdp7cKH+ZGRkqLGxMWr7mTNndPTo0aiac+3j88c4X01Pex1mz56tjRs36o033tAVV1zhrM/IyFBLS4uampqi6s/u5cX2yefzqX///r3iPZ2YmKirrrpK48ePV0VFha6//nr98Ic/pIcxqK2tVWNjo2688UYlJCQoISFB27Zt03PPPaeEhAT5/X56eZFSU1N1zTXX6IMPPuA92UUIKPrsD8Lx48erurraWdfW1qbq6moFAoFuHJkdRowYoYyMjKj+NDc3a9euXU5/AoGAmpqaVFtb69Rs3bpVbW1tys3NdWq2b9+uSCTi1ASDQY0cOVKDBw92aj5/nPaanvI6GGM0e/ZsrV+/Xlu3btWIESOito8fP14ejydqjnV1daqvr4/q5f79+6MCXzAYlM/nU05OjlNzoT71xvd0W1ubwuEwPYzB5MmTtX//fu3bt895TJgwQTNmzHD+m15enBMnTuh3v/udhg0bxnuyq3T3Vbq2WLt2rfF6vWb16tXm0KFD5sEHHzSpqalRV1z3ZsePHzfvvPOOeeedd4wk88wzz5h33nnH/Pd//7cx5rPbjFNTU80vf/lL8+6775o777zznLcZ33DDDWbXrl3mrbfeMldffXXUbcZNTU3G7/eb++67zxw4cMCsXbvWJCcnd7jNOCEhwTz99NPmvffeMwsWLOhRtxnPmjXLpKSkmDfffDPqdsRTp045NQ899JDJzs42W7duNXv37jWBQMAEAgFne/vtiAUFBWbfvn1my5Yt5rLLLjvn7Yhz58417733nqmsrDzn7Yg99T39xBNPmG3btpnDhw+bd9991zzxxBMmLi7OVFVVGWPo4aX4/F08xtDLzvrOd75j3nzzTXP48GHz9ttvm/z8fDN06FDT2NhojKGPXYGA8jnPP/+8yc7ONomJiWbixIlm586d3T2kL80bb7xhJHV4lJSUGGM+u9X4ySefNH6/33i9XjN58mRTV1cXtY9PPvnE3HvvvWbgwIHG5/OZ+++/3xw/fjyq5je/+Y255ZZbjNfrNZdffrlZunRph7G8/PLL5pprrjGJiYnm2muvNZs2beqyebvtXD2UZFatWuXUfPrpp+bb3/62GTx4sElOTjZ33323+fjjj6P284c//MFMnTrV9O/f3wwdOtR85zvfMZFIJKrmjTfeMOPGjTOJiYnmK1/5StQx2vXU9/Tf/M3fmOHDh5vExERz2WWXmcmTJzvhxBh6eCnODij0snOmTZtmhg0bZhITE83ll19upk2bZj744ANnO310X5wxxnTPuRsAAIBz4xoUAABgHQIKAACwDgEFAABYh4ACAACsQ0ABAADWIaAAAADrEFAAAIB1CCgAAMA6BBQAAGAdAgoAALAOAQUAAFiHgAIAAKzz/wCIOiPHIaWZYAAAAABJRU5ErkJggg==", "text/plain": [ "
" ] @@ -4240,7 +4484,14 @@ { "cell_type": "code", "execution_count": 54, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:22.704697Z", + "iopub.status.busy": "2024-08-16T20:42:22.704160Z", + "iopub.status.idle": "2024-08-16T20:42:22.735249Z", + "shell.execute_reply": "2024-08-16T20:42:22.734747Z" + } + }, "outputs": [ { "data": { @@ -4278,28 +4529,28 @@ " 19204.2 microsiemens / centimeter\n", " \n", " \n", - " 45\n", + " 50\n", " 222.3\n", " umho/cm\n", " NaN\n", " 222.3 microsiemens / centimeter\n", " \n", " \n", - " 221\n", + " 232\n", " 102.8\n", " umho/cm\n", " NaN\n", " 102.8 microsiemens / centimeter\n", " \n", " \n", - " 374\n", + " 394\n", " 11017.5\n", " umho/cm\n", " NaN\n", " 11017.5 microsiemens / centimeter\n", " \n", " \n", - " 691\n", + " 746\n", " 32\n", " umho/cm\n", " NaN\n", @@ -4313,35 +4564,35 @@ " ...\n", " \n", " \n", - " 384180\n", + " 397047\n", " 110\n", " umho/cm\n", " NaN\n", " 110.0 microsiemens / centimeter\n", " \n", " \n", - " 384187\n", + " 397054\n", " 65\n", " umho/cm\n", " NaN\n", " 65.0 microsiemens / centimeter\n", " \n", " \n", - " 384188\n", + " 397055\n", " 110\n", " umho/cm\n", " NaN\n", " 110.0 microsiemens / centimeter\n", " \n", " \n", - " 384191\n", + " 397058\n", " 390\n", " umho/cm\n", " NaN\n", " 390.0 microsiemens / centimeter\n", " \n", " \n", - " 384193\n", + " 397061\n", " 65\n", " umho/cm\n", " NaN\n", @@ -4355,29 +4606,29 @@ "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag \\\n", "8 19204.2 umho/cm NaN \n", - "45 222.3 umho/cm NaN \n", - "221 102.8 umho/cm NaN \n", - "374 11017.5 umho/cm NaN \n", - "691 32 umho/cm NaN \n", + "50 222.3 umho/cm NaN \n", + "232 102.8 umho/cm NaN \n", + "394 11017.5 umho/cm NaN \n", + "746 32 umho/cm NaN \n", "... ... ... ... \n", - "384180 110 umho/cm NaN \n", - "384187 65 umho/cm NaN \n", - "384188 110 umho/cm NaN \n", - "384191 390 umho/cm NaN \n", - "384193 65 umho/cm NaN \n", + "397047 110 umho/cm NaN \n", + "397054 65 umho/cm NaN \n", + "397055 110 umho/cm NaN \n", + "397058 390 umho/cm NaN \n", + "397061 65 umho/cm NaN \n", "\n", " Conductivity \n", "8 19204.2 microsiemens / centimeter \n", - "45 222.3 microsiemens / centimeter \n", - "221 102.8 microsiemens / centimeter \n", - "374 11017.5 microsiemens / centimeter \n", - "691 32.0 microsiemens / centimeter \n", + "50 222.3 microsiemens / centimeter \n", + "232 102.8 microsiemens / centimeter \n", + "394 11017.5 microsiemens / centimeter \n", + "746 32.0 microsiemens / centimeter \n", "... ... \n", - "384180 110.0 microsiemens / centimeter \n", - "384187 65.0 microsiemens / centimeter \n", - "384188 110.0 microsiemens / centimeter \n", - "384191 390.0 microsiemens / centimeter \n", - "384193 65.0 microsiemens / centimeter \n", + "397047 110.0 microsiemens / centimeter \n", + "397054 65.0 microsiemens / centimeter \n", + "397055 110.0 microsiemens / centimeter \n", + "397058 390.0 microsiemens / centimeter \n", + "397061 65.0 microsiemens / centimeter \n", "\n", "[1826 rows x 4 columns]" ] @@ -4402,18 +4653,23 @@ { "cell_type": "code", "execution_count": 55, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:22.737389Z", + "iopub.status.busy": "2024-08-16T20:42:22.737165Z", + "iopub.status.idle": "2024-08-16T20:42:25.437020Z", + "shell.execute_reply": "2024-08-16T20:42:25.436420Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\wq_data.py:329: UserWarning: WARNING: 'None' UNDEFINED UNIT for Chlorophyll\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'ug/cm2' UNDEFINED UNIT for Chlorophyll\n", " warn(\"WARNING: \" + problem)\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\wq_data.py:329: UserWarning: WARNING: 'ug/cm2' UNDEFINED UNIT for Chlorophyll\n", - " warn(\"WARNING: \" + problem)\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'None' UNDEFINED UNIT for Chlorophyll\n", + " warn(\"WARNING: \" + problem)\n" ] }, { @@ -4421,23 +4677,23 @@ "output_type": "stream", "text": [ "-Usable results-\n", - "count 9235.000000\n", - "mean 1.173530\n", - "std 1.200244\n", + "count 9251.000000\n", + "mean 1.171505\n", + "std 1.200192\n", "min -0.840000\n", - "25% 0.008460\n", + "25% 0.008395\n", "50% 0.970000\n", "75% 1.850000\n", "max 9.990000\n", "dtype: float64\n", - "Unusable results: 551\n", + "Unusable results: 574\n", "Usable results with inferred units: 0\n", - "Results outside threshold (0.0 to 8.374993385424874): 8\n" + "Results outside threshold (0.0 to 8.372654750450925): 8\n" ] }, { "data": { - "image/png": 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", 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", 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" ] @@ -4454,7 +4710,14 @@ { "cell_type": "code", "execution_count": 56, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:25.440058Z", + "iopub.status.busy": "2024-08-16T20:42:25.439638Z", + "iopub.status.idle": "2024-08-16T20:42:25.479346Z", + "shell.execute_reply": "2024-08-16T20:42:25.478769Z" + } + }, "outputs": [ { "data": { @@ -4485,35 +4748,35 @@ " \n", " \n", " \n", - " 251\n", + " 264\n", " NaN\n", " NaN\n", " ResultMeasureValue: missing (NaN) result; Resu...\n", " NaN\n", " \n", " \n", - " 525\n", + " 551\n", " NaN\n", " NaN\n", " ResultMeasureValue: missing (NaN) result; Resu...\n", " NaN\n", " \n", " \n", - " 621\n", + " 670\n", " 2.3\n", " mg/m3\n", " NaN\n", " 0.0023000000000000004 milligram / liter\n", " \n", " \n", - " 1135\n", + " 1230\n", " NaN\n", " NaN\n", " ResultMeasureValue: missing (NaN) result; Resu...\n", " NaN\n", " \n", " \n", - " 1270\n", + " 1370\n", " 2.9\n", " mg/m3\n", " NaN\n", @@ -4527,35 +4790,35 @@ " ...\n", " \n", " \n", - " 384006\n", - " 6.73\n", - " ug/L\n", + " 397885\n", + " 1.07\n", + " mg/m3\n", " NaN\n", - " 0.006730000000000001 milligram / liter\n", + " 0.0010700000000000004 milligram / liter\n", " \n", " \n", - " 384013\n", - " 1.89\n", - " ug/L\n", + " 397910\n", + " NaN\n", + " NaN\n", + " ResultMeasureValue: missing (NaN) result; Resu...\n", " NaN\n", - " 0.00189 milligram / liter\n", " \n", " \n", - " 384050\n", - " 4.08\n", - " ug/L\n", + " 397941\n", + " NaN\n", + " NaN\n", + " ResultMeasureValue: missing (NaN) result; Resu...\n", " NaN\n", - " 0.00408 milligram / liter\n", " \n", " \n", - " 384121\n", - " 1.62\n", - " ug/L\n", + " 397977\n", + " NaN\n", + " NaN\n", + " ResultMeasureValue: missing (NaN) result; Resu...\n", " NaN\n", - " 0.0016200000000000001 milligram / liter\n", " \n", " \n", - " 384373\n", + " 397979\n", " NaN\n", " NaN\n", " ResultMeasureValue: missing (NaN) result; Resu...\n", @@ -4563,50 +4826,50 @@ " \n", " \n", "\n", - "

9786 rows × 4 columns

\n", + "

9825 rows × 4 columns

\n", "" ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode \\\n", - "251 NaN NaN \n", - "525 NaN NaN \n", - "621 2.3 mg/m3 \n", - "1135 NaN NaN \n", - "1270 2.9 mg/m3 \n", + "264 NaN NaN \n", + "551 NaN NaN \n", + "670 2.3 mg/m3 \n", + "1230 NaN NaN \n", + "1370 2.9 mg/m3 \n", "... ... ... \n", - "384006 6.73 ug/L \n", - "384013 1.89 ug/L \n", - "384050 4.08 ug/L \n", - "384121 1.62 ug/L \n", - "384373 NaN NaN \n", + "397885 1.07 mg/m3 \n", + "397910 NaN NaN \n", + "397941 NaN NaN \n", + "397977 NaN NaN \n", + "397979 NaN NaN \n", "\n", " QA_flag \\\n", - "251 ResultMeasureValue: missing (NaN) result; Resu... \n", - "525 ResultMeasureValue: missing (NaN) result; Resu... \n", - "621 NaN \n", - "1135 ResultMeasureValue: missing (NaN) result; Resu... \n", - "1270 NaN \n", + "264 ResultMeasureValue: missing (NaN) result; Resu... \n", + "551 ResultMeasureValue: missing (NaN) result; Resu... \n", + "670 NaN \n", + "1230 ResultMeasureValue: missing (NaN) result; Resu... \n", + "1370 NaN \n", "... ... \n", - "384006 NaN \n", - "384013 NaN \n", - "384050 NaN \n", - "384121 NaN \n", - "384373 ResultMeasureValue: missing (NaN) result; Resu... \n", + "397885 NaN \n", + "397910 ResultMeasureValue: missing (NaN) result; Resu... \n", + "397941 ResultMeasureValue: missing (NaN) result; Resu... \n", + "397977 ResultMeasureValue: missing (NaN) result; Resu... \n", + "397979 ResultMeasureValue: missing (NaN) result; Resu... \n", "\n", " Chlorophyll \n", - "251 NaN \n", - "525 NaN \n", - "621 0.0023000000000000004 milligram / liter \n", - "1135 NaN \n", - "1270 0.0029000000000000007 milligram / liter \n", + "264 NaN \n", + "551 NaN \n", + "670 0.0023000000000000004 milligram / liter \n", + "1230 NaN \n", + "1370 0.0029000000000000007 milligram / liter \n", "... ... \n", - "384006 0.006730000000000001 milligram / liter \n", - "384013 0.00189 milligram / liter \n", - "384050 0.00408 milligram / liter \n", - "384121 0.0016200000000000001 milligram / liter \n", - "384373 NaN \n", + "397885 0.0010700000000000004 milligram / liter \n", + "397910 NaN \n", + "397941 NaN \n", + "397977 NaN \n", + "397979 NaN \n", "\n", - "[9786 rows x 4 columns]" + "[9825 rows x 4 columns]" ] }, "execution_count": 56, @@ -4629,38 +4892,37 @@ { "cell_type": "code", "execution_count": 57, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:25.481649Z", + "iopub.status.busy": "2024-08-16T20:42:25.481464Z", + "iopub.status.idle": "2024-08-16T20:42:28.562088Z", + "shell.execute_reply": "2024-08-16T20:42:28.561329Z" + } + }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ "-Usable results-\n", - "count 4428.000000\n", - "mean 1240.193144\n", - "std 12094.529994\n", + "count 4639.000000\n", + "mean 1184.028265\n", + "std 11819.016505\n", "min 0.000000\n", - "25% 2.600000\n", + "25% 2.700000\n", "50% 4.300000\n", - "75% 8.600000\n", + "75% 8.400000\n", "max 410000.000000\n", "dtype: float64\n", - "Unusable results: 161\n", + "Unusable results: 163\n", "Usable results with inferred units: 0\n", - "Results outside threshold (0.0 to 73807.37310572137): 22\n" + "Results outside threshold (0.0 to 72098.12729220463): 22\n" ] }, { "data": { - "image/png": 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", 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wCnEDAACsQtwAAACrEDcAAMAqxA0AALAKcQMAAKxC3AAAAKsQNwAAwCrEDQAAsApxAwAArELcAAAAqxA3AADAKsQNAACwCnEDAACsQtwAAACrEDcAAMAqxA0AALCKq7gpKCjQl770JfXq1UuJiYm6++67VVlZGbbm3Llzys3NVd++fdWzZ09NnTpVNTU1YWuqqqqUk5OjuLg4JSYmat68eTp//nzYml27dmns2LHyer0aPHiwioqK2neGAADgM8VV3JSUlCg3N1d79+5VIBBQKBRSVlaWTp8+7ayZO3eu3njjDW3cuFElJSU6fvy47rnnHmd/U1OTcnJy1NjYqHfeeUcvv/yyioqKtGjRImfNsWPHlJOTo9tvv13l5eXKy8vTQw89pO3bt3fCKQMAAJtFuVm8bdu2sNtFRUVKTExUWVmZbrvtNtXV1enFF1/UunXrdMcdd0iS1q5dq2HDhmnv3r2aMGGCiouLdfToUf3qV79SUlKSRo8erSeffFKPP/64lixZIo/HozVr1igtLU1PPfWUJGnYsGHas2ePVq5cqezs7E46dQAAYCNXcXOxuro6SVKfPn0kSWVlZQqFQsrMzHTWDB06VAMHDlRpaakmTJig0tJSjRgxQklJSc6a7OxszZ49W0eOHNGYMWNUWloa9hgta/Ly8i55LMFgUMFg0LldX18vSQqFQgqFQh05zTAtj+WNNJfdj79qmQmzuTLMyz1m5g7zco+ZudOReXXGjNsdN83NzcrLy9PNN9+s4cOHS5Kqq6vl8XiUkJAQtjYpKUnV1dXOmgvDpmV/y77Lramvr9fZs2cVGxvb6ngKCgq0dOnSVtuLi4sVFxfXvpO8jCfHN7e5fevWrZ3+XLYIBAJdfQjXFOblHjNzh3m5x8zcac+8zpw50+HnbXfc5Obm6vDhw9qzZ0+HD6IzLFiwQPn5+c7t+vp6paamKisrSz6fr9OeJxQKKRAI6ImDkQo2R7Taf3gJH5tdrGVmkydPVnR0dFcfTrfHvNxjZu4wL/eYmTsdmVfLJy8d0a64mTNnjjZv3qzdu3drwIABzvbk5GQ1Njbq5MmTYe/e1NTUKDk52Vmzf//+sMdruZrqwjUXX2FVU1Mjn8/X5rs2kuT1euX1elttj46OviovxGBzhIJNreOGF/2lXa2/C1sxL/eYmTvMyz1m5k575tUZ83V1tZQxRnPmzNGmTZu0c+dOpaWlhe0fN26coqOjtWPHDmdbZWWlqqqq5Pf7JUl+v18VFRWqra111gQCAfl8PqWnpztrLnyMljUtjwEAAHAprt65yc3N1bp16/TLX/5SvXr1cr4jEx8fr9jYWMXHx2vmzJnKz89Xnz595PP59Oijj8rv92vChAmSpKysLKWnp+u+++7TihUrVF1drYULFyo3N9d552XWrFl67rnnNH/+fD344IPauXOnNmzYoC1btnTy6QMAANu4eudm9erVqqur08SJE9W/f3/nz6uvvuqsWblypf7hH/5BU6dO1W233abk5GT94he/cPb36NFDmzdvVo8ePeT3+/WNb3xD999/v5YtW+asSUtL05YtWxQIBDRq1Cg99dRTeuGFF7gMHAAAfCpX79wY0/blzxeKiYlRYWGhCgsLL7lm0KBBn3pV0cSJE3Xo0CE3hwcAAMC/LQUAAOxC3AAAAKsQNwAAwCrEDQAAsApxAwAArELcAAAAqxA3AADAKsQNAACwCnEDAACsQtwAAACrEDcAAMAqxA0AALAKcQMAAKxC3AAAAKsQNwAAwCrEDQAAsApxAwAArELcAAAAqxA3AADAKsQNAACwCnEDAACsQtwAAACrEDcAAMAqxA0AALAKcQMAAKxC3AAAAKsQNwAAwCrEDQAAsApxAwAArELcAAAAqxA3AADAKsQNAACwCnEDAACsQtwAAACrEDcAAMAqxA0AALAKcQMAAKxC3AAAAKsQNwAAwCrEDQAAsApxAwAArELcAAAAqxA3AADAKsQNAACwCnEDAACsQtwAAACrEDcAAMAqxA0AALAKcQMAAKxC3AAAAKsQNwAAwCrEDQAAsApxAwAArELcAAAAqxA3AADAKsQNAACwCnEDAACsQtwAAACrEDcAAMAqxA0AALAKcQMAAKxC3AAAAKsQNwAAwCrEDQAAsApxAwAArELcAAAAqxA3AADAKq7jZvfu3brzzjuVkpKiiIgIvfbaa2H7jTFatGiR+vfvr9jYWGVmZuqDDz4IW3PixAlNnz5dPp9PCQkJmjlzpk6dOhW25r333tOtt96qmJgYpaamasWKFe7PDgAAfOa4jpvTp09r1KhRKiwsbHP/ihUr9Mwzz2jNmjXat2+frrvuOmVnZ+vcuXPOmunTp+vIkSMKBALavHmzdu/erUceecTZX19fr6ysLA0aNEhlZWX63ve+pyVLluhHP/pRO04RAAB8lkS5vcOUKVM0ZcqUNvcZY/SDH/xACxcu1F133SVJ+slPfqKkpCS99tpruvfee/X+++9r27ZtOnDggMaPHy9JevbZZ/WVr3xF3//+95WSkqJXXnlFjY2Neumll+TxeHTjjTeqvLxcTz/9dFgEAQAAXMx13FzOsWPHVF1drczMTGdbfHy8MjIyVFpaqnvvvVelpaVKSEhwwkaSMjMzFRkZqX379ulrX/uaSktLddttt8nj8ThrsrOz9d///d/6y1/+ot69e7d67mAwqGAw6Nyur6+XJIVCIYVCoU47x5bH8kaay+7HX7XMhNlcGeblHjNzh3m5x8zc6ci8OmPGnRo31dXVkqSkpKSw7UlJSc6+6upqJSYmhh9EVJT69OkTtiYtLa3VY7TsaytuCgoKtHTp0lbbi4uLFRcX184zurQnxze3uX3r1q2d/ly2CAQCXX0I1xTm5R4zc4d5ucfM3GnPvM6cOdPh5+3UuOlKCxYsUH5+vnO7vr5eqampysrKks/n67TnCYVCCgQCeuJgpILNEa32H16S3WnPZYuWmU2ePFnR0dFdfTjdHvNyj5m5w7zcY2budGReLZ+8dESnxk1ycrIkqaamRv3793e219TUaPTo0c6a2trasPudP39eJ06ccO6fnJysmpqasDUtt1vWXMzr9crr9bbaHh0dfVVeiMHmCAWbWscNL/pLu1p/F7ZiXu4xM3eYl3vMzJ32zKsz5tupv+cmLS1NycnJ2rFjh7Otvr5e+/btk9/vlyT5/X6dPHlSZWVlzpqdO3equblZGRkZzprdu3eHfe4WCAQ0ZMiQNj+SAgAAaOE6bk6dOqXy8nKVl5dL+uRLxOXl5aqqqlJERITy8vL07W9/W6+//roqKip0//33KyUlRXfffbckadiwYfryl7+shx9+WPv379fbb7+tOXPm6N5771VKSook6V/+5V/k8Xg0c+ZMHTlyRK+++qpWrVoV9rETAABAW1x/LHXw4EHdfvvtzu2W4JgxY4aKioo0f/58nT59Wo888ohOnjypW265Rdu2bVNMTIxzn1deeUVz5szRpEmTFBkZqalTp+qZZ55x9sfHx6u4uFi5ubkaN26c+vXrp0WLFnEZOAAA+FSu42bixIkypu3LoCUpIiJCy5Yt07Jlyy65pk+fPlq3bt1ln2fkyJH69a9/7fbwAADAZxz/thQAALAKcQMAAKxC3AAAAKsQNwAAwCrEDQAAsApxAwAArELcAAAAqxA3AADAKsQNAACwCnEDAACsQtwAAACrEDcAAMAqxA0AALAKcQMAAKxC3AAAAKsQNwAAwCrEDQAAsApxAwAArELcAAAAqxA3AADAKsQNAACwCnEDAACsQtwAAACrEDcAAMAqxA0AALAKcQMAAKxC3AAAAKsQNwAAwCrEDQAAsApxAwAArELcAAAAqxA3AADAKsQNAACwCnEDAACsQtwAAACrEDcAAMAqxA0AALAKcQMAAKxC3AAAAKsQNwAAwCrEDQAAsApxAwAArELcAAAAqxA3AADAKsQNAACwCnEDAACsQtwAAACrEDcAAMAqxA0AALAKcQMAAKxC3AAAAKsQNwAAwCrEDQAAsApxAwAArELcAAAAqxA3AADAKsQNAACwCnEDAACsQtwAAACrEDcAAMAqxA0AALAKcQMAAKxC3AAAAKsQNwAAwCrEDQAAsApxAwAArELcAAAAq3TruCksLNT111+vmJgYZWRkaP/+/V19SAAAoJvrtnHz6quvKj8/X4sXL9a7776rUaNGKTs7W7W1tV19aAAAoBvrtnHz9NNP6+GHH9YDDzyg9PR0rVmzRnFxcXrppZe6+tAAAEA3FtXVB9CWxsZGlZWVacGCBc62yMhIZWZmqrS0tM37BINBBYNB53ZdXZ0k6cSJEwqFQp12bKFQSGfOnFFUKFJNzRGt9g/+fxsued99CyZ12nF0REbBjja3X63ja5nZn//8Z0VHR1+V57AJ83KPmbnDvNxjZu50ZF4NDQ2SJGNMu5+/W8bNn/70JzU1NSkpKSlse1JSkv7nf/6nzfsUFBRo6dKlrbanpaVdlWNsj35PdfURXF53Pz4AwGdHQ0OD4uPj23Xfbhk37bFgwQLl5+c7t5ubm3XixAn17dtXERGt32Fpr/r6eqWmpuqjjz6Sz+frtMe1GTNzh3m5x8zcYV7uMTN3OjIvY4waGhqUkpLS7ufvlnHTr18/9ejRQzU1NWHba2pqlJyc3OZ9vF6vvF5v2LaEhISrdYjy+Xy8wF1iZu4wL/eYmTvMyz1m5k5759Xed2xadMsvFHs8Ho0bN047dvz1uyHNzc3asWOH/H5/Fx4ZAADo7rrlOzeSlJ+frxkzZmj8+PG66aab9IMf/ECnT5/WAw880NWHBgAAurFuGzfTpk3TH//4Ry1atEjV1dUaPXq0tm3b1upLxn9rXq9XixcvbvURGC6NmbnDvNxjZu4wL/eYmTtdPa8I05FrrQAAALqZbvmdGwAAgPYibgAAgFWIGwAAYBXiBgAAWIW4camwsFDXX3+9YmJilJGRof3793f1IXW63bt3684771RKSooiIiL02muvhe03xmjRokXq37+/YmNjlZmZqQ8++CBszYkTJzR9+nT5fD4lJCRo5syZOnXqVNia9957T7feeqtiYmKUmpqqFStWtDqWjRs3aujQoYqJidGIESO0devWTj/fjiooKNCXvvQl9erVS4mJibr77rtVWVkZtubcuXPKzc1V37591bNnT02dOrXVL6msqqpSTk6O4uLilJiYqHnz5un8+fNha3bt2qWxY8fK6/Vq8ODBKioqanU818JrdPXq1Ro5cqTzC778fr/efPNNZz/zurzly5crIiJCeXl5zjZmFm7JkiWKiIgI+zN06FBnP/Nq7Q9/+IO+8Y1vqG/fvoqNjdWIESN08OBBZ/819bPf4IqtX7/eeDwe89JLL5kjR46Yhx9+2CQkJJiampquPrROtXXrVvNf//Vf5he/+IWRZDZt2hS2f/ny5SY+Pt689tpr5je/+Y356le/atLS0szZs2edNV/+8pfNqFGjzN69e82vf/1rM3jwYPP1r3/d2V9XV2eSkpLM9OnTzeHDh83PfvYzExsba374wx86a95++23To0cPs2LFCnP06FGzcOFCEx0dbSoqKq76DNzIzs42a9euNYcPHzbl5eXmK1/5ihk4cKA5deqUs2bWrFkmNTXV7Nixwxw8eNBMmDDB/N3f/Z2z//z582b48OEmMzPTHDp0yGzdutX069fPLFiwwFnz4Ycfmri4OJOfn2+OHj1qnn32WdOjRw+zbds2Z8218hp9/fXXzZYtW8xvf/tbU1lZaf7zP//TREdHm8OHDxtjmNfl7N+/31x//fVm5MiR5rHHHnO2M7NwixcvNjfeeKP5+OOPnT9//OMfnf3MK9yJEyfMoEGDzL/+67+affv2mQ8//NBs377d/O53v3PWXEs/+4kbF2666SaTm5vr3G5qajIpKSmmoKCgC4/q6ro4bpqbm01ycrL53ve+52w7efKk8Xq95mc/+5kxxpijR48aSebAgQPOmjfffNNERESYP/zhD8YYY55//nnTu3dvEwwGnTWPP/64GTJkiHP7n//5n01OTk7Y8WRkZJh/+7d/69Rz7Gy1tbVGkikpKTHGfDKf6Ohos3HjRmfN+++/bySZ0tJSY8wnQRkZGWmqq6udNatXrzY+n8+Z0fz5882NN94Y9lzTpk0z2dnZzu1r+TXau3dv88ILLzCvy2hoaDA33HCDCQQC5u///u+duGFmrS1evNiMGjWqzX3Mq7XHH3/c3HLLLZfcf6397OdjqSvU2NiosrIyZWZmOtsiIyOVmZmp0tLSLjyyv61jx46puro6bA7x8fHKyMhw5lBaWqqEhASNHz/eWZOZmanIyEjt27fPWXPbbbfJ4/E4a7Kzs1VZWam//OUvzpoLn6dlTXefd11dnSSpT58+kqSysjKFQqGwcxk6dKgGDhwYNrMRI0aE/ZLK7Oxs1dfX68iRI86ay83jWn2NNjU1af369Tp9+rT8fj/zuozc3Fzl5OS0Oi9m1rYPPvhAKSkp+sIXvqDp06erqqpKEvNqy+uvv67x48frn/7pn5SYmKgxY8boxz/+sbP/WvvZT9xcoT/96U9qampq9RuSk5KSVF1d3UVH9bfXcq6Xm0N1dbUSExPD9kdFRalPnz5ha9p6jAuf41JruvO8m5ublZeXp5tvvlnDhw+X9Ml5eDyeVv+Q68Uza+886uvrdfbs2WvuNVpRUaGePXvK6/Vq1qxZ2rRpk9LT05nXJaxfv17vvvuuCgoKWu1jZq1lZGSoqKhI27Zt0+rVq3Xs2DHdeuutamhoYF5t+PDDD7V69WrdcMMN2r59u2bPnq3/+I//0Msvvyzp2vvZ323/+QXgWpSbm6vDhw9rz549XX0o3d6QIUNUXl6uuro6/fznP9eMGTNUUlLS1YfVLX300Ud67LHHFAgEFBMT09WHc02YMmWK898jR45URkaGBg0apA0bNig2NrYLj6x7am5u1vjx4/Xd735XkjRmzBgdPnxYa9as0YwZM7r46NzjnZsr1K9fP/Xo0aPVt+lramqUnJzcRUf1t9dyrpebQ3Jysmpra8P2nz9/XidOnAhb09ZjXPgcl1rTXec9Z84cbd68WW+99ZYGDBjgbE9OTlZjY6NOnjwZtv7imbV3Hj6fT7Gxsdfca9Tj8Wjw4MEaN26cCgoKNGrUKK1atYp5taGsrEy1tbUaO3asoqKiFBUVpZKSEj3zzDOKiopSUlISM/sUCQkJ+uIXv6jf/e53vMba0L9/f6Wnp4dtGzZsmPNR3rX2s5+4uUIej0fjxo3Tjh07nG3Nzc3asWOH/H5/Fx7Z31ZaWpqSk5PD5lBfX699+/Y5c/D7/Tp58qTKysqcNTt37lRzc7MyMjKcNbt371YoFHLWBAIBDRkyRL1793bWXPg8LWu627yNMZozZ442bdqknTt3Ki0tLWz/uHHjFB0dHXYulZWVqqqqCptZRUVF2A+GQCAgn8/n/MD5tHlc66/R5uZmBYNB5tWGSZMmqaKiQuXl5c6f8ePHa/r06c5/M7PLO3XqlP73f/9X/fv35zXWhptvvrnVr7D47W9/q0GDBkm6Bn/2X/FXj2HWr19vvF6vKSoqMkePHjWPPPKISUhICPs2vQ0aGhrMoUOHzKFDh4wk8/TTT5tDhw6Z//u//zPGfHI5YEJCgvnlL39p3nvvPXPXXXe1eTngmDFjzL59+8yePXvMDTfcEHY54MmTJ01SUpK57777zOHDh8369etNXFxcq8sBo6KizPe//33z/vvvm8WLF3fLS8Fnz55t4uPjza5du8IuOz1z5oyzZtasWWbgwIFm586d5uDBg8bv9xu/3+/sb7nsNCsry5SXl5tt27aZz33uc21edjpv3jzz/vvvm8LCwjYvO70WXqPf+ta3TElJiTl27Jh57733zLe+9S0TERFhiouLjTHM60pceLWUMczsYt/85jfNrl27zLFjx8zbb79tMjMzTb9+/Uxtba0xhnldbP/+/SYqKsp85zvfMR988IF55ZVXTFxcnPnpT3/qrLmWfvYTNy49++yzZuDAgcbj8ZibbrrJ7N27t6sPqdO99dZbRlKrPzNmzDDGfHJJ4BNPPGGSkpKM1+s1kyZNMpWVlWGP8ec//9l8/etfNz179jQ+n8888MADpqGhIWzNb37zG3PLLbcYr9drPv/5z5vly5e3OpYNGzaYL37xi8bj8Zgbb7zRbNmy5aqdd3u1NStJZu3atc6as2fPmn//9383vXv3NnFxceZrX/ua+fjjj8Me5/e//72ZMmWKiY2NNf369TPf/OY3TSgUClvz1ltvmdGjRxuPx2O+8IUvhD1Hi2vhNfrggw+aQYMGGY/HYz73uc+ZSZMmOWFjDPO6EhfHDTMLN23aNNO/f3/j8XjM5z//eTNt2rSw39nCvFp74403zPDhw43X6zVDhw41P/rRj8L2X0s/+yOMMebK3+cBAADo3vjODQAAsApxAwAArELcAAAAqxA3AADAKsQNAACwCnEDAACsQtwAAACrEDcAAMAqxA0AALAKcQMAAKxC3AAAAKsQNwAAwCr/H2YGs+Tc2Ue0AAAAAElFTkSuQmCC", "text/plain": [ "
" ] @@ -4677,7 +4939,14 @@ { "cell_type": "code", "execution_count": 58, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:28.564901Z", + "iopub.status.busy": "2024-08-16T20:42:28.564369Z", + "iopub.status.idle": "2024-08-16T20:42:28.602320Z", + "shell.execute_reply": "2024-08-16T20:42:28.601753Z" + } + }, "outputs": [ { "data": { @@ -4708,39 +4977,39 @@ " \n", " \n", " \n", - " 121\n", + " 127\n", " 2.6\n", " mg/L\n", " NaN\n", " 2.6 milligram / liter\n", " \n", " \n", - " 170\n", + " 178\n", " 5.2\n", " mg/L\n", " NaN\n", " 5.2 milligram / liter\n", " \n", " \n", - " 176\n", - " NaN\n", + " 218\n", + " 3.9\n", " mg/L\n", - " ResultMeasureValue: missing (NaN) result\n", " NaN\n", + " 3.9 milligram / liter\n", " \n", " \n", - " 208\n", - " 3.9\n", + " 296\n", + " 1.0\n", " mg/L\n", " NaN\n", - " 3.9 milligram / liter\n", + " 1.0 milligram / liter\n", " \n", " \n", - " 240\n", - " 2.5\n", + " 315\n", + " 2.6\n", " mg/L\n", " NaN\n", - " 2.5 milligram / liter\n", + " 2.6 milligram / liter\n", " \n", " \n", " ...\n", @@ -4750,73 +5019,73 @@ " ...\n", " \n", " \n", - " 384339\n", - " 5.9\n", + " 397836\n", + " 3.029\n", " mg/L\n", " NaN\n", - " 5.9 milligram / liter\n", + " 3.029 milligram / liter\n", " \n", " \n", - " 384358\n", - " 1.353\n", + " 397853\n", + " 6.159\n", " mg/L\n", " NaN\n", - " 1.353 milligram / liter\n", + " 6.159 milligram / liter\n", " \n", " \n", - " 384360\n", - " 6.7\n", + " 397860\n", + " 1.059\n", " mg/L\n", " NaN\n", - " 6.7 milligram / liter\n", + " 1.059 milligram / liter\n", " \n", " \n", - " 384371\n", - " 2.7\n", + " 397932\n", + " 4.297\n", " mg/L\n", " NaN\n", - " 2.7 milligram / liter\n", + " 4.297 milligram / liter\n", " \n", " \n", - " 384390\n", - " 2.5\n", + " 397942\n", + " 6.301\n", " mg/L\n", " NaN\n", - " 2.5 milligram / liter\n", + " 6.301 milligram / liter\n", " \n", " \n", "\n", - "

4589 rows × 4 columns

\n", + "

4802 rows × 4 columns

\n", "" ], "text/plain": [ - " ResultMeasureValue ResultMeasure/MeasureUnitCode \\\n", - "121 2.6 mg/L \n", - "170 5.2 mg/L \n", - "176 NaN mg/L \n", - "208 3.9 mg/L \n", - "240 2.5 mg/L \n", - "... ... ... \n", - "384339 5.9 mg/L \n", - "384358 1.353 mg/L \n", - "384360 6.7 mg/L \n", - "384371 2.7 mg/L \n", - "384390 2.5 mg/L \n", - "\n", - " QA_flag Carbon \n", - "121 NaN 2.6 milligram / liter \n", - "170 NaN 5.2 milligram / liter \n", - "176 ResultMeasureValue: missing (NaN) result NaN \n", - "208 NaN 3.9 milligram / liter \n", - "240 NaN 2.5 milligram / liter \n", - "... ... ... \n", - "384339 NaN 5.9 milligram / liter \n", - "384358 NaN 1.353 milligram / liter \n", - "384360 NaN 6.7 milligram / liter \n", - "384371 NaN 2.7 milligram / liter \n", - "384390 NaN 2.5 milligram / liter \n", - "\n", - "[4589 rows x 4 columns]" + " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag \\\n", + "127 2.6 mg/L NaN \n", + "178 5.2 mg/L NaN \n", + "218 3.9 mg/L NaN \n", + "296 1.0 mg/L NaN \n", + "315 2.6 mg/L NaN \n", + "... ... ... ... \n", + "397836 3.029 mg/L NaN \n", + "397853 6.159 mg/L NaN \n", + "397860 1.059 mg/L NaN \n", + "397932 4.297 mg/L NaN \n", + "397942 6.301 mg/L NaN \n", + "\n", + " Carbon \n", + "127 2.6 milligram / liter \n", + "178 5.2 milligram / liter \n", + "218 3.9 milligram / liter \n", + "296 1.0 milligram / liter \n", + "315 2.6 milligram / liter \n", + "... ... \n", + "397836 3.029 milligram / liter \n", + "397853 6.159 milligram / liter \n", + "397860 1.059 milligram / liter \n", + "397932 4.297 milligram / liter \n", + "397942 6.301 milligram / liter \n", + "\n", + "[4802 rows x 4 columns]" ] }, "execution_count": 58, @@ -4839,38 +5108,37 @@ { "cell_type": "code", "execution_count": 59, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:28.604498Z", + "iopub.status.busy": "2024-08-16T20:42:28.604310Z", + "iopub.status.idle": "2024-08-16T20:42:31.243970Z", + "shell.execute_reply": "2024-08-16T20:42:31.243444Z" + } + }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ "-Usable results-\n", - "count 37839.000000\n", - "mean 9.069313\n", - "std 211.094933\n", + "count 38011.000000\n", + "mean 9.049528\n", + "std 210.617191\n", "min -0.840000\n", - "25% 1.400000\n", - "50% 2.500000\n", + "25% 1.430000\n", + "50% 2.510000\n", "75% 4.810000\n", "max 32342.452300\n", "dtype: float64\n", "Unusable results: 167\n", "Usable results with inferred units: 10\n", - "Results outside threshold (0.0 to 1275.6389091265294): 45\n" + "Results outside threshold (0.0 to 1272.7526739293237): 45\n" ] }, { "data": { - "image/png": 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", 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", 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" ] @@ -4887,7 +5155,14 @@ { "cell_type": "code", "execution_count": 60, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:31.246362Z", + "iopub.status.busy": "2024-08-16T20:42:31.245975Z", + "iopub.status.idle": "2024-08-16T20:42:31.316708Z", + "shell.execute_reply": "2024-08-16T20:42:31.316092Z" + } + }, "outputs": [ { "data": { @@ -4918,39 +5193,39 @@ " \n", " \n", " \n", - " 12\n", + " 14\n", " 0\n", " NTU\n", " NaN\n", " 0.0 Nephelometric_Turbidity_Units\n", " \n", " \n", - " 49\n", + " 54\n", " 5.6\n", " NTU\n", " NaN\n", " 5.6 Nephelometric_Turbidity_Units\n", " \n", " \n", - " 51\n", + " 56\n", " 28\n", " NTU\n", " NaN\n", " 28.0 Nephelometric_Turbidity_Units\n", " \n", " \n", - " 70\n", - " 2\n", + " 90\n", + " 1.4\n", " NTU\n", " NaN\n", - " 2.0 Nephelometric_Turbidity_Units\n", + " 1.4 Nephelometric_Turbidity_Units\n", " \n", " \n", - " 85\n", - " 1.4\n", + " 92\n", + " 4.7\n", " NTU\n", " NaN\n", - " 1.4 Nephelometric_Turbidity_Units\n", + " 4.7 Nephelometric_Turbidity_Units\n", " \n", " \n", " ...\n", @@ -4960,73 +5235,73 @@ " ...\n", " \n", " \n", - " 384355\n", - " 2.2\n", + " 397903\n", + " 2.6\n", " NTU\n", " NaN\n", - " 2.2 Nephelometric_Turbidity_Units\n", + " 2.6 Nephelometric_Turbidity_Units\n", " \n", " \n", - " 384359\n", - " 3.3\n", + " 397914\n", + " 3.9\n", " NTU\n", " NaN\n", - " 3.3 Nephelometric_Turbidity_Units\n", + " 3.9 Nephelometric_Turbidity_Units\n", " \n", " \n", - " 384391\n", - " 6.2\n", + " 397917\n", + " 6.8\n", " NTU\n", " NaN\n", - " 6.2 Nephelometric_Turbidity_Units\n", + " 6.8 Nephelometric_Turbidity_Units\n", " \n", " \n", - " 384402\n", - " 2.7\n", + " 397946\n", + " 13.6\n", " NTU\n", " NaN\n", - " 2.7 Nephelometric_Turbidity_Units\n", + " 13.6 Nephelometric_Turbidity_Units\n", " \n", " \n", - " 384417\n", - " 1.2\n", + " 397958\n", + " 1.7\n", " NTU\n", " NaN\n", - " 1.2 Nephelometric_Turbidity_Units\n", + " 1.7 Nephelometric_Turbidity_Units\n", " \n", " \n", "\n", - "

38006 rows × 4 columns

\n", + "

38178 rows × 4 columns

\n", "" ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag \\\n", - "12 0 NTU NaN \n", - "49 5.6 NTU NaN \n", - "51 28 NTU NaN \n", - "70 2 NTU NaN \n", - "85 1.4 NTU NaN \n", + "14 0 NTU NaN \n", + "54 5.6 NTU NaN \n", + "56 28 NTU NaN \n", + "90 1.4 NTU NaN \n", + "92 4.7 NTU NaN \n", "... ... ... ... \n", - "384355 2.2 NTU NaN \n", - "384359 3.3 NTU NaN \n", - "384391 6.2 NTU NaN \n", - "384402 2.7 NTU NaN \n", - "384417 1.2 NTU NaN \n", + "397903 2.6 NTU NaN \n", + "397914 3.9 NTU NaN \n", + "397917 6.8 NTU NaN \n", + "397946 13.6 NTU NaN \n", + "397958 1.7 NTU NaN \n", "\n", " Turbidity \n", - "12 0.0 Nephelometric_Turbidity_Units \n", - "49 5.6 Nephelometric_Turbidity_Units \n", - "51 28.0 Nephelometric_Turbidity_Units \n", - "70 2.0 Nephelometric_Turbidity_Units \n", - "85 1.4 Nephelometric_Turbidity_Units \n", + "14 0.0 Nephelometric_Turbidity_Units \n", + "54 5.6 Nephelometric_Turbidity_Units \n", + "56 28.0 Nephelometric_Turbidity_Units \n", + "90 1.4 Nephelometric_Turbidity_Units \n", + "92 4.7 Nephelometric_Turbidity_Units \n", "... ... \n", - "384355 2.2 Nephelometric_Turbidity_Units \n", - "384359 3.3 Nephelometric_Turbidity_Units \n", - "384391 6.2 Nephelometric_Turbidity_Units \n", - "384402 2.7 Nephelometric_Turbidity_Units \n", - "384417 1.2 Nephelometric_Turbidity_Units \n", + "397903 2.6 Nephelometric_Turbidity_Units \n", + "397914 3.9 Nephelometric_Turbidity_Units \n", + "397917 6.8 Nephelometric_Turbidity_Units \n", + "397946 13.6 Nephelometric_Turbidity_Units \n", + "397958 1.7 Nephelometric_Turbidity_Units \n", "\n", - "[38006 rows x 4 columns]" + "[38178 rows x 4 columns]" ] }, "execution_count": 60, @@ -5049,7 +5324,14 @@ { "cell_type": "code", "execution_count": 61, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:31.319137Z", + "iopub.status.busy": "2024-08-16T20:42:31.318770Z", + "iopub.status.idle": "2024-08-16T20:42:32.613166Z", + "shell.execute_reply": "2024-08-16T20:42:32.612579Z" + } + }, "outputs": [], "source": [ "# Sediment\n", @@ -5059,7 +5341,14 @@ { "cell_type": "code", "execution_count": 62, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:32.615652Z", + "iopub.status.busy": "2024-08-16T20:42:32.615441Z", + "iopub.status.idle": "2024-08-16T20:42:33.089854Z", + "shell.execute_reply": "2024-08-16T20:42:33.089212Z" + } + }, "outputs": [ { "data": { @@ -5126,21 +5415,26 @@ { "cell_type": "code", "execution_count": 63, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:33.092431Z", + "iopub.status.busy": "2024-08-16T20:42:33.091989Z", + "iopub.status.idle": "2024-08-16T20:42:36.970597Z", + "shell.execute_reply": "2024-08-16T20:42:36.970022Z" + } + }, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" + "2 Phosphorus sample fractions not in frac_dict\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2 Phosphorus sample fractions not in frac_dict\n", "2 Phosphorus sample fractions not in frac_dict found in expected domains, mapped to \"Other_Phosphorus\"\n" ] } @@ -5160,7 +5454,14 @@ { "cell_type": "code", "execution_count": 64, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:36.973096Z", + "iopub.status.busy": "2024-08-16T20:42:36.972911Z", + "iopub.status.idle": "2024-08-16T20:42:37.422533Z", + "shell.execute_reply": "2024-08-16T20:42:37.421905Z" + } + }, "outputs": [ { "data": { @@ -5191,36 +5492,36 @@ " \n", " \n", " \n", - " 18\n", + " 20\n", " .061\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 140\n", - " .13\n", + " 96\n", + " 0.03\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 154\n", - " 0.003\n", + " 147\n", + " .13\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 340\n", - " 0.002\n", + " 161\n", + " 0.003\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 389\n", - " 0.020\n", + " 360\n", + " 0.002\n", " mg/L\n", " NaN\n", " NaN\n", @@ -5233,60 +5534,60 @@ " ...\n", " \n", " \n", - " 384353\n", - " 0.03\n", + " 397984\n", + " .107\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 384366\n", - " 0.003\n", + " 397999\n", + " .009\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 384379\n", - " .038\n", + " 398000\n", + " .14\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 384396\n", - " 0.012\n", + " 398009\n", + " .072\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 384399\n", - " 0.041\n", + " 398016\n", + " .181\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", "\n", - "

5423 rows × 4 columns

\n", + "

5730 rows × 4 columns

\n", "" ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag TDP_Phosphorus\n", - "18 .061 mg/L NaN NaN\n", - "140 .13 mg/L NaN NaN\n", - "154 0.003 mg/L NaN NaN\n", - "340 0.002 mg/L NaN NaN\n", - "389 0.020 mg/L NaN NaN\n", + "20 .061 mg/L NaN NaN\n", + "96 0.03 mg/L NaN NaN\n", + "147 .13 mg/L NaN NaN\n", + "161 0.003 mg/L NaN NaN\n", + "360 0.002 mg/L NaN NaN\n", "... ... ... ... ...\n", - "384353 0.03 mg/L NaN NaN\n", - "384366 0.003 mg/L NaN NaN\n", - "384379 .038 mg/L NaN NaN\n", - "384396 0.012 mg/L NaN NaN\n", - "384399 0.041 mg/L NaN NaN\n", + "397984 .107 mg/L NaN NaN\n", + "397999 .009 mg/L NaN NaN\n", + "398000 .14 mg/L NaN NaN\n", + "398009 .072 mg/L NaN NaN\n", + "398016 .181 mg/L NaN NaN\n", "\n", - "[5423 rows x 4 columns]" + "[5730 rows x 4 columns]" ] }, "execution_count": 64, @@ -5303,7 +5604,14 @@ { "cell_type": "code", "execution_count": 65, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:37.424822Z", + "iopub.status.busy": "2024-08-16T20:42:37.424446Z", + "iopub.status.idle": "2024-08-16T20:42:37.448710Z", + "shell.execute_reply": "2024-08-16T20:42:37.448168Z" + } + }, "outputs": [ { "data": { @@ -5334,36 +5642,36 @@ " \n", " \n", " \n", - " 18\n", + " 20\n", " .061\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 140\n", - " .13\n", + " 96\n", + " 0.03\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 154\n", - " 0.003\n", + " 147\n", + " .13\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 340\n", - " 0.002\n", + " 161\n", + " 0.003\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 389\n", - " 0.020\n", + " 360\n", + " 0.002\n", " mg/L\n", " NaN\n", " NaN\n", @@ -5376,60 +5684,60 @@ " ...\n", " \n", " \n", - " 384353\n", - " 0.03\n", + " 397984\n", + " .107\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 384366\n", - " 0.003\n", + " 397999\n", + " .009\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 384379\n", - " .038\n", + " 398000\n", + " .14\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 384396\n", - " 0.012\n", + " 398009\n", + " .072\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 384399\n", - " 0.041\n", + " 398016\n", + " .181\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", "\n", - "

4693 rows × 4 columns

\n", + "

5000 rows × 4 columns

\n", "" ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag TDP_Phosphorus\n", - "18 .061 mg/L NaN NaN\n", - "140 .13 mg/L NaN NaN\n", - "154 0.003 mg/L NaN NaN\n", - "340 0.002 mg/L NaN NaN\n", - "389 0.020 mg/L NaN NaN\n", + "20 .061 mg/L NaN NaN\n", + "96 0.03 mg/L NaN NaN\n", + "147 .13 mg/L NaN NaN\n", + "161 0.003 mg/L NaN NaN\n", + "360 0.002 mg/L NaN NaN\n", "... ... ... ... ...\n", - "384353 0.03 mg/L NaN NaN\n", - "384366 0.003 mg/L NaN NaN\n", - "384379 .038 mg/L NaN NaN\n", - "384396 0.012 mg/L NaN NaN\n", - "384399 0.041 mg/L NaN NaN\n", + "397984 .107 mg/L NaN NaN\n", + "397999 .009 mg/L NaN NaN\n", + "398000 .14 mg/L NaN NaN\n", + "398009 .072 mg/L NaN NaN\n", + "398016 .181 mg/L NaN NaN\n", "\n", - "[4693 rows x 4 columns]" + "[5000 rows x 4 columns]" ] }, "execution_count": 65, @@ -5445,7 +5753,14 @@ { "cell_type": "code", "execution_count": 66, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:37.451128Z", + "iopub.status.busy": "2024-08-16T20:42:37.450774Z", + "iopub.status.idle": "2024-08-16T20:42:37.470040Z", + "shell.execute_reply": "2024-08-16T20:42:37.469500Z" + } + }, "outputs": [ { "data": { @@ -5476,301 +5791,301 @@ " \n", " \n", " \n", - " 3412\n", + " 3657\n", " 0.019\n", " mg/L\n", " NaN\n", " 0.019 milligram / liter\n", " \n", " \n", - " 7602\n", + " 8220\n", " 0.002\n", " mg/L\n", " NaN\n", " 0.002 milligram / liter\n", " \n", " \n", - " 21804\n", + " 23204\n", " 0.003\n", " mg/L\n", " NaN\n", " 0.003 milligram / liter\n", " \n", " \n", - " 24836\n", + " 26371\n", " 0.019\n", " mg/L\n", " NaN\n", " 0.019 milligram / liter\n", " \n", " \n", - " 53271\n", + " 56247\n", " 0.002\n", " mg/L\n", " NaN\n", " 0.002 milligram / liter\n", " \n", " \n", - " 54958\n", + " 58089\n", " 0.017\n", " mg/L\n", " NaN\n", " 0.017 milligram / liter\n", " \n", " \n", - " 69627\n", + " 91497\n", " 0.021\n", " mg/L\n", " NaN\n", " 0.021 milligram / liter\n", " \n", " \n", - " 72233\n", + " 94286\n", " 0.003\n", " mg/L\n", " NaN\n", " 0.003 milligram / liter\n", " \n", " \n", - " 96204\n", + " 101142\n", " 0.020\n", " mg/L\n", " NaN\n", " 0.02 milligram / liter\n", " \n", " \n", - " 101292\n", + " 106490\n", " 0.002\n", " mg/L\n", " NaN\n", " 0.002 milligram / liter\n", " \n", " \n", - " 140763\n", + " 147434\n", " 0.00806\n", " mg/L\n", " NaN\n", " 0.00806 milligram / liter\n", " \n", " \n", - " 143896\n", + " 150743\n", " 0.000031\n", " mg/L\n", " NaN\n", " 3.1e-05 milligram / liter\n", " \n", " \n", - " 145177\n", + " 152086\n", " 0.002542\n", " mg/L\n", " NaN\n", " 0.002542 milligram / liter\n", " \n", " \n", - " 145664\n", + " 152602\n", " 0.00341\n", " mg/L\n", " NaN\n", " 0.00341 milligram / liter\n", " \n", " \n", - " 191613\n", + " 200480\n", " 0.00372\n", " mg/L\n", " NaN\n", " 0.00372 milligram / liter\n", " \n", " \n", - " 193495\n", + " 202494\n", " 0.00961\n", " mg/L\n", " NaN\n", " 0.00961 milligram / liter\n", " \n", " \n", - " 194413\n", + " 203463\n", " 0.00124\n", " mg/L\n", " NaN\n", " 0.00124 milligram / liter\n", " \n", " \n", - " 195122\n", + " 204221\n", " 0.01271\n", " mg/L\n", " NaN\n", " 0.01271 milligram / liter\n", " \n", " \n", - " 381970\n", + " 395702\n", " 0.030\n", " mg/l as P\n", " NaN\n", " 0.03 milligram / liter\n", " \n", " \n", - " 381979\n", + " 395711\n", " 0.033\n", " mg/l as P\n", " NaN\n", " 0.033 milligram / liter\n", " \n", " \n", - " 381982\n", + " 395714\n", " 0.024\n", " mg/l as P\n", " NaN\n", " 0.024 milligram / liter\n", " \n", " \n", - " 381988\n", + " 395720\n", " 0.028\n", " mg/l as P\n", " NaN\n", " 0.028 milligram / liter\n", " \n", " \n", - " 381997\n", + " 395729\n", " 0.021\n", " mg/l as P\n", " NaN\n", " 0.021 milligram / liter\n", " \n", " \n", - " 382002\n", + " 395734\n", " 0.023\n", " mg/l as P\n", " NaN\n", " 0.023 milligram / liter\n", " \n", " \n", - " 382014\n", + " 395746\n", " 0.037\n", " mg/l as P\n", " NaN\n", " 0.037 milligram / liter\n", " \n", " \n", - " 382075\n", + " 395811\n", " 0.023\n", " mg/l as P\n", " NaN\n", " 0.023 milligram / liter\n", " \n", " \n", - " 382083\n", + " 395819\n", " 0.02\n", " mg/l as P\n", " NaN\n", " 0.02 milligram / liter\n", " \n", " \n", - " 382099\n", + " 395835\n", " 0.04\n", " mg/l as P\n", " NaN\n", " 0.04 milligram / liter\n", " \n", " \n", - " 382114\n", + " 395850\n", " 0.03\n", " mg/l as P\n", " NaN\n", " 0.03 milligram / liter\n", " \n", " \n", - " 382123\n", + " 395859\n", " 0.025\n", " mg/l as P\n", " NaN\n", " 0.025 milligram / liter\n", " \n", " \n", - " 382150\n", + " 395886\n", " 0.05\n", " mg/l as P\n", " NaN\n", " 0.05 milligram / liter\n", " \n", " \n", - " 382159\n", + " 395895\n", " 0.15\n", " mg/l as P\n", " NaN\n", " 0.15 milligram / liter\n", " \n", " \n", - " 382179\n", + " 395915\n", " 0.03\n", " mg/l as P\n", " NaN\n", " 0.03 milligram / liter\n", " \n", " \n", - " 382205\n", + " 396032\n", " 0.02\n", " mg/l as P\n", " NaN\n", " 0.02 milligram / liter\n", " \n", " \n", - " 382227\n", + " 396054\n", " 0.07\n", " mg/l as P\n", " NaN\n", " 0.07 milligram / liter\n", " \n", " \n", - " 382235\n", + " 396062\n", " 0.08\n", " mg/l as P\n", " NaN\n", " 0.08 milligram / liter\n", " \n", " \n", - " 382250\n", + " 396077\n", " 0.02\n", " mg/l as P\n", " NaN\n", " 0.02 milligram / liter\n", " \n", " \n", - " 382270\n", + " 396097\n", " 0.02\n", " mg/l as P\n", " NaN\n", " 0.02 milligram / liter\n", " \n", " \n", - " 382282\n", + " 396109\n", " 0.04\n", " mg/l as P\n", " NaN\n", " 0.04 milligram / liter\n", " \n", " \n", - " 382302\n", + " 396129\n", " 0.02\n", " mg/l as P\n", " NaN\n", " 0.02 milligram / liter\n", " \n", " \n", - " 382315\n", + " 396142\n", " 0.05\n", " mg/l as P\n", " NaN\n", " 0.05 milligram / liter\n", " \n", " \n", - " 382622\n", + " 396416\n", " 0.03\n", " mg/l as P\n", " NaN\n", " 0.03 milligram / liter\n", " \n", " \n", - " 382629\n", + " 396423\n", " 0.05\n", " mg/l as P\n", " NaN\n", @@ -5782,94 +6097,94 @@ ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag \\\n", - "3412 0.019 mg/L NaN \n", - "7602 0.002 mg/L NaN \n", - "21804 0.003 mg/L NaN \n", - "24836 0.019 mg/L NaN \n", - "53271 0.002 mg/L NaN \n", - "54958 0.017 mg/L NaN \n", - "69627 0.021 mg/L NaN \n", - "72233 0.003 mg/L NaN \n", - "96204 0.020 mg/L NaN \n", - "101292 0.002 mg/L NaN \n", - "140763 0.00806 mg/L NaN \n", - "143896 0.000031 mg/L NaN \n", - "145177 0.002542 mg/L NaN \n", - "145664 0.00341 mg/L NaN \n", - "191613 0.00372 mg/L NaN \n", - "193495 0.00961 mg/L NaN \n", - "194413 0.00124 mg/L NaN \n", - "195122 0.01271 mg/L NaN \n", - "381970 0.030 mg/l as P NaN \n", - "381979 0.033 mg/l as P NaN \n", - "381982 0.024 mg/l as P NaN \n", - "381988 0.028 mg/l as P NaN \n", - "381997 0.021 mg/l as P NaN \n", - "382002 0.023 mg/l as P NaN \n", - "382014 0.037 mg/l as P NaN \n", - "382075 0.023 mg/l as P NaN \n", - "382083 0.02 mg/l as P NaN \n", - "382099 0.04 mg/l as P NaN \n", - "382114 0.03 mg/l as P NaN \n", - "382123 0.025 mg/l as P NaN \n", - "382150 0.05 mg/l as P NaN \n", - "382159 0.15 mg/l as P NaN \n", - "382179 0.03 mg/l as P NaN \n", - "382205 0.02 mg/l as P NaN \n", - "382227 0.07 mg/l as P NaN \n", - "382235 0.08 mg/l as P NaN \n", - "382250 0.02 mg/l as P NaN \n", - "382270 0.02 mg/l as P NaN \n", - "382282 0.04 mg/l as P NaN \n", - "382302 0.02 mg/l as P NaN \n", - "382315 0.05 mg/l as P NaN \n", - "382622 0.03 mg/l as P NaN \n", - "382629 0.05 mg/l as P NaN \n", + "3657 0.019 mg/L NaN \n", + "8220 0.002 mg/L NaN \n", + "23204 0.003 mg/L NaN \n", + "26371 0.019 mg/L NaN \n", + "56247 0.002 mg/L NaN \n", + "58089 0.017 mg/L NaN \n", + "91497 0.021 mg/L NaN \n", + "94286 0.003 mg/L NaN \n", + "101142 0.020 mg/L NaN \n", + "106490 0.002 mg/L NaN \n", + "147434 0.00806 mg/L NaN \n", + "150743 0.000031 mg/L NaN \n", + "152086 0.002542 mg/L NaN \n", + "152602 0.00341 mg/L NaN \n", + "200480 0.00372 mg/L NaN \n", + "202494 0.00961 mg/L NaN \n", + "203463 0.00124 mg/L NaN \n", + "204221 0.01271 mg/L NaN \n", + "395702 0.030 mg/l as P NaN \n", + "395711 0.033 mg/l as P NaN \n", + "395714 0.024 mg/l as P NaN \n", + "395720 0.028 mg/l as P NaN \n", + "395729 0.021 mg/l as P NaN \n", + "395734 0.023 mg/l as P NaN \n", + "395746 0.037 mg/l as P NaN \n", + "395811 0.023 mg/l as P NaN \n", + "395819 0.02 mg/l as P NaN \n", + "395835 0.04 mg/l as P NaN \n", + "395850 0.03 mg/l as P NaN \n", + "395859 0.025 mg/l as P NaN \n", + "395886 0.05 mg/l as P NaN \n", + "395895 0.15 mg/l as P NaN \n", + "395915 0.03 mg/l as P NaN \n", + "396032 0.02 mg/l as P NaN \n", + "396054 0.07 mg/l as P NaN \n", + "396062 0.08 mg/l as P NaN \n", + "396077 0.02 mg/l as P NaN \n", + "396097 0.02 mg/l as P NaN \n", + "396109 0.04 mg/l as P NaN \n", + "396129 0.02 mg/l as P NaN \n", + "396142 0.05 mg/l as P NaN \n", + "396416 0.03 mg/l as P NaN \n", + "396423 0.05 mg/l as P NaN \n", "\n", " TDP_Phosphorus \n", - "3412 0.019 milligram / liter \n", - "7602 0.002 milligram / liter \n", - "21804 0.003 milligram / liter \n", - "24836 0.019 milligram / liter \n", - "53271 0.002 milligram / liter \n", - "54958 0.017 milligram / liter \n", - "69627 0.021 milligram / liter \n", - "72233 0.003 milligram / liter \n", - "96204 0.02 milligram / liter \n", - "101292 0.002 milligram / liter \n", - "140763 0.00806 milligram / liter \n", - "143896 3.1e-05 milligram / liter \n", - "145177 0.002542 milligram / liter \n", - "145664 0.00341 milligram / liter \n", - "191613 0.00372 milligram / liter \n", - "193495 0.00961 milligram / liter \n", - "194413 0.00124 milligram / liter \n", - "195122 0.01271 milligram / liter \n", - "381970 0.03 milligram / liter \n", - "381979 0.033 milligram / liter \n", - "381982 0.024 milligram / liter \n", - "381988 0.028 milligram / liter \n", - "381997 0.021 milligram / liter \n", - "382002 0.023 milligram / liter \n", - "382014 0.037 milligram / liter \n", - "382075 0.023 milligram / liter \n", - "382083 0.02 milligram / liter \n", - "382099 0.04 milligram / liter \n", - "382114 0.03 milligram / liter \n", - "382123 0.025 milligram / liter \n", - "382150 0.05 milligram / liter \n", - "382159 0.15 milligram / liter \n", - "382179 0.03 milligram / liter \n", - "382205 0.02 milligram / liter \n", - "382227 0.07 milligram / liter \n", - "382235 0.08 milligram / liter \n", - "382250 0.02 milligram / liter \n", - "382270 0.02 milligram / liter \n", - "382282 0.04 milligram / liter \n", - "382302 0.02 milligram / liter \n", - "382315 0.05 milligram / liter \n", - "382622 0.03 milligram / liter \n", - "382629 0.05 milligram / liter " + "3657 0.019 milligram / liter \n", + "8220 0.002 milligram / liter \n", + "23204 0.003 milligram / liter \n", + "26371 0.019 milligram / liter \n", + "56247 0.002 milligram / liter \n", + "58089 0.017 milligram / liter \n", + "91497 0.021 milligram / liter \n", + "94286 0.003 milligram / liter \n", + "101142 0.02 milligram / liter \n", + "106490 0.002 milligram / liter \n", + "147434 0.00806 milligram / liter \n", + "150743 3.1e-05 milligram / liter \n", + "152086 0.002542 milligram / liter \n", + "152602 0.00341 milligram / liter \n", + "200480 0.00372 milligram / liter \n", + "202494 0.00961 milligram / liter \n", + "203463 0.00124 milligram / liter \n", + "204221 0.01271 milligram / liter \n", + "395702 0.03 milligram / liter \n", + "395711 0.033 milligram / liter \n", + "395714 0.024 milligram / liter \n", + "395720 0.028 milligram / liter \n", + "395729 0.021 milligram / liter \n", + "395734 0.023 milligram / liter \n", + "395746 0.037 milligram / liter \n", + "395811 0.023 milligram / liter \n", + "395819 0.02 milligram / liter \n", + "395835 0.04 milligram / liter \n", + "395850 0.03 milligram / liter \n", + "395859 0.025 milligram / liter \n", + "395886 0.05 milligram / liter \n", + "395895 0.15 milligram / liter \n", + "395915 0.03 milligram / liter \n", + "396032 0.02 milligram / liter \n", + "396054 0.07 milligram / liter \n", + "396062 0.08 milligram / liter \n", + "396077 0.02 milligram / liter \n", + "396097 0.02 milligram / liter \n", + "396109 0.04 milligram / liter \n", + "396129 0.02 milligram / liter \n", + "396142 0.05 milligram / liter \n", + "396416 0.03 milligram / liter \n", + "396423 0.05 milligram / liter " ] }, "execution_count": 66, @@ -5885,7 +6200,14 @@ { "cell_type": "code", "execution_count": 67, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:37.472274Z", + "iopub.status.busy": "2024-08-16T20:42:37.471916Z", + "iopub.status.idle": "2024-08-16T20:42:37.489964Z", + "shell.execute_reply": "2024-08-16T20:42:37.489376Z" + } + }, "outputs": [ { "data": { @@ -5916,35 +6238,35 @@ " \n", " \n", " \n", - " 9580\n", + " 10308\n", " .5\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 9684\n", + " 10418\n", " .036\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 10920\n", + " 11746\n", " .089\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 11887\n", + " 12772\n", " .017\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 12938\n", + " 13875\n", " .067\n", " mg/L\n", " NaN\n", @@ -5958,35 +6280,35 @@ " ...\n", " \n", " \n", - " 384150\n", + " 397017\n", " .18\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 384161\n", + " 397028\n", " .25\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 384173\n", + " 397040\n", " .16\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 384176\n", + " 397043\n", " .18\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 384185\n", + " 397052\n", " .31\n", " mg/L\n", " NaN\n", @@ -5999,17 +6321,17 @@ ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag TDP_Phosphorus\n", - "9580 .5 mg/L NaN NaN\n", - "9684 .036 mg/L NaN NaN\n", - "10920 .089 mg/L NaN NaN\n", - "11887 .017 mg/L NaN NaN\n", - "12938 .067 mg/L NaN NaN\n", + "10308 .5 mg/L NaN NaN\n", + "10418 .036 mg/L NaN NaN\n", + "11746 .089 mg/L NaN NaN\n", + "12772 .017 mg/L NaN NaN\n", + "13875 .067 mg/L NaN NaN\n", "... ... ... ... ...\n", - "384150 .18 mg/L NaN NaN\n", - "384161 .25 mg/L NaN NaN\n", - "384173 .16 mg/L NaN NaN\n", - "384176 .18 mg/L NaN NaN\n", - "384185 .31 mg/L NaN NaN\n", + "397017 .18 mg/L NaN NaN\n", + "397028 .25 mg/L NaN NaN\n", + "397040 .16 mg/L NaN NaN\n", + "397043 .18 mg/L NaN NaN\n", + "397052 .31 mg/L NaN NaN\n", "\n", "[687 rows x 4 columns]" ] @@ -6048,19 +6370,30 @@ { "cell_type": "code", "execution_count": 68, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:37.492093Z", + "iopub.status.busy": "2024-08-16T20:42:37.491914Z", + "iopub.status.idle": "2024-08-16T20:42:43.738917Z", + "shell.execute_reply": "2024-08-16T20:42:43.738322Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n", " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n", - " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n", + " warn(f\"WARNING: '{unit}' converted to NaN\")\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n", " warn(f\"WARNING: '{unit}' converted to NaN\")\n" ] }, @@ -6085,7 +6418,7 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -6102,7 +6435,14 @@ { "cell_type": "code", "execution_count": 69, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:43.741237Z", + "iopub.status.busy": "2024-08-16T20:42:43.740885Z", + "iopub.status.idle": "2024-08-16T20:42:43.824638Z", + "shell.execute_reply": "2024-08-16T20:42:43.824068Z" + } + }, "outputs": [ { "data": { @@ -6161,7 +6501,7 @@ " NaN\n", " \n", " \n", - " 26\n", + " 28\n", " 40\n", " cfu/100mL\n", " NaN\n", @@ -6175,36 +6515,36 @@ " ...\n", " \n", " \n", - " 383681\n", - " 120\n", + " 396690\n", + " 60\n", " cfu/100mL\n", " NaN\n", " NaN\n", " \n", " \n", - " 383809\n", - " 52\n", + " 396797\n", + " 61\n", " cfu/100mL\n", " NaN\n", " NaN\n", " \n", " \n", - " 384095\n", - " 54\n", + " 396883\n", + " 3\n", " cfu/100mL\n", " NaN\n", " NaN\n", " \n", " \n", - " 384362\n", - " 61\n", + " 396916\n", + " 600\n", " cfu/100mL\n", " NaN\n", " NaN\n", " \n", " \n", - " 384415\n", - " 3\n", + " 396918\n", + " 245\n", " cfu/100mL\n", " NaN\n", " NaN\n", @@ -6220,26 +6560,26 @@ "3 2 MPN/100mL \n", "5 *Non-detect NaN \n", "9 *Non-detect NaN \n", - "26 40 cfu/100mL \n", + "28 40 cfu/100mL \n", "... ... ... \n", - "383681 120 cfu/100mL \n", - "383809 52 cfu/100mL \n", - "384095 54 cfu/100mL \n", - "384362 61 cfu/100mL \n", - "384415 3 cfu/100mL \n", + "396690 60 cfu/100mL \n", + "396797 61 cfu/100mL \n", + "396883 3 cfu/100mL \n", + "396916 600 cfu/100mL \n", + "396918 245 cfu/100mL \n", "\n", " QA_flag Fecal_Coliform \n", "1 NaN NaN \n", "3 NaN NaN \n", "5 ResultMeasureValue: \"*Non-detect\" result canno... NaN \n", "9 ResultMeasureValue: \"*Non-detect\" result canno... NaN \n", - "26 NaN NaN \n", + "28 NaN NaN \n", "... ... ... \n", - "383681 NaN NaN \n", - "383809 NaN NaN \n", - "384095 NaN NaN \n", - "384362 NaN NaN \n", - "384415 NaN NaN \n", + "396690 NaN NaN \n", + "396797 NaN NaN \n", + "396883 NaN NaN \n", + "396916 NaN NaN \n", + "396918 NaN NaN \n", "\n", "[50586 rows x 4 columns]" ] @@ -6264,17 +6604,24 @@ { "cell_type": "code", "execution_count": 70, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:43.826834Z", + "iopub.status.busy": "2024-08-16T20:42:43.826651Z", + "iopub.status.idle": "2024-08-16T20:42:46.446670Z", + "shell.execute_reply": "2024-08-16T20:42:46.446158Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n", + " warn(f\"WARNING: '{unit}' converted to NaN\")\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n", " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n", " warn(f\"WARNING: '{unit}' converted to NaN\")\n" ] }, @@ -6292,14 +6639,14 @@ "75% 1000.000000\n", "max 1700.000000\n", "dtype: float64\n", - "Unusable results: 2863\n", + "Unusable results: 7974\n", "Usable results with inferred units: 0\n", "Results outside threshold (0.0 to 4162.183198738116): 0\n" ] }, { "data": { - "image/png": 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", "text/plain": [ "
" ] @@ -6316,7 +6663,14 @@ { "cell_type": "code", "execution_count": 71, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:46.448974Z", + "iopub.status.busy": "2024-08-16T20:42:46.448616Z", + "iopub.status.idle": "2024-08-16T20:42:46.491581Z", + "shell.execute_reply": "2024-08-16T20:42:46.490983Z" + } + }, "outputs": [ { "data": { @@ -6347,37 +6701,37 @@ " \n", " \n", " \n", - " 278\n", - " 190\n", - " MPN/100mL\n", + " 11\n", + " 0\n", + " cfu/100mL\n", " NaN\n", " NaN\n", " \n", " \n", - " 1079\n", - " 36\n", - " MPN/100mL\n", + " 37\n", + " 1000\n", + " cfu/100mL\n", " NaN\n", " NaN\n", " \n", " \n", - " 1848\n", - " 63\n", - " MPN/100mL\n", + " 45\n", + " 0\n", + " cfu/100mL\n", " NaN\n", " NaN\n", " \n", " \n", - " 2032\n", - " 44\n", - " #/100mL\n", + " 99\n", + " 33.3333333333333\n", + " cfu/100mL\n", " NaN\n", " NaN\n", " \n", " \n", - " 2458\n", - " 270\n", - " #/100mL\n", + " 136\n", + " 0\n", + " cfu/100mL\n", " NaN\n", " NaN\n", " \n", @@ -6389,60 +6743,60 @@ " ...\n", " \n", " \n", - " 384045\n", - " 74.0\n", + " 397798\n", + " 390\n", " MPN/100mL\n", " NaN\n", " NaN\n", " \n", " \n", - " 384091\n", - " 4611\n", + " 397811\n", + " 84\n", " MPN/100mL\n", " NaN\n", " NaN\n", " \n", " \n", - " 384340\n", - " 75\n", + " 397833\n", + " 150\n", " MPN/100mL\n", " NaN\n", " NaN\n", " \n", " \n", - " 384351\n", - " 130\n", + " 397862\n", + " 150\n", " MPN/100mL\n", " NaN\n", " NaN\n", " \n", " \n", - " 384389\n", - " 41\n", + " 398010\n", + " 28\n", " MPN/100mL\n", " NaN\n", " NaN\n", " \n", " \n", "\n", - "

2885 rows × 4 columns

\n", + "

7996 rows × 4 columns

\n", "" ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag E_coli\n", - "278 190 MPN/100mL NaN NaN\n", - "1079 36 MPN/100mL NaN NaN\n", - "1848 63 MPN/100mL NaN NaN\n", - "2032 44 #/100mL NaN NaN\n", - "2458 270 #/100mL NaN NaN\n", + "11 0 cfu/100mL NaN NaN\n", + "37 1000 cfu/100mL NaN NaN\n", + "45 0 cfu/100mL NaN NaN\n", + "99 33.3333333333333 cfu/100mL NaN NaN\n", + "136 0 cfu/100mL NaN NaN\n", "... ... ... ... ...\n", - "384045 74.0 MPN/100mL NaN NaN\n", - "384091 4611 MPN/100mL NaN NaN\n", - "384340 75 MPN/100mL NaN NaN\n", - "384351 130 MPN/100mL NaN NaN\n", - "384389 41 MPN/100mL NaN NaN\n", + "397798 390 MPN/100mL NaN NaN\n", + "397811 84 MPN/100mL NaN NaN\n", + "397833 150 MPN/100mL NaN NaN\n", + "397862 150 MPN/100mL NaN NaN\n", + "398010 28 MPN/100mL NaN NaN\n", "\n", - "[2885 rows x 4 columns]" + "[7996 rows x 4 columns]" ] }, "execution_count": 71, @@ -6486,7 +6840,14 @@ { "cell_type": "code", "execution_count": 72, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:46.494203Z", + "iopub.status.busy": "2024-08-16T20:42:46.493846Z", + "iopub.status.idle": "2024-08-16T20:42:46.496664Z", + "shell.execute_reply": "2024-08-16T20:42:46.496181Z" + } + }, "outputs": [], "source": [ "from harmonize_wq import convert" @@ -6495,15 +6856,22 @@ { "cell_type": "code", "execution_count": 73, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:46.498760Z", + "iopub.status.busy": "2024-08-16T20:42:46.498404Z", + "iopub.status.idle": "2024-08-16T20:42:46.530400Z", + "shell.execute_reply": "2024-08-16T20:42:46.529812Z" + } + }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Range: 0.0 to 37782.0\n", - "Results: 67623 \n", - "Mean: 16.269403694009615 PSU\n" + "Results: 68190 \n", + "Mean: 16.236780567531895 PSU\n" ] } ], @@ -6518,7 +6886,14 @@ { "cell_type": "code", "execution_count": 74, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:46.532851Z", + "iopub.status.busy": "2024-08-16T20:42:46.532409Z", + "iopub.status.idle": "2024-08-16T20:42:46.538690Z", + "shell.execute_reply": "2024-08-16T20:42:46.538221Z" + } + }, "outputs": [ { "data": { @@ -6546,7 +6921,14 @@ { "cell_type": "code", "execution_count": 75, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:46.540875Z", + "iopub.status.busy": "2024-08-16T20:42:46.540549Z", + "iopub.status.idle": "2024-08-16T20:42:46.543278Z", + "shell.execute_reply": "2024-08-16T20:42:46.542812Z" + } + }, "outputs": [], "source": [ "# Columns to focus on\n", @@ -6556,7 +6938,14 @@ { "cell_type": "code", "execution_count": 76, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:46.545284Z", + "iopub.status.busy": "2024-08-16T20:42:46.544953Z", + "iopub.status.idle": "2024-08-16T20:42:54.324843Z", + "shell.execute_reply": "2024-08-16T20:42:54.324295Z" + } + }, "outputs": [ { "data": { @@ -6587,35 +6976,35 @@ " \n", " \n", " \n", - " 20414\n", + " 21759\n", " 15030\n", " ppt\n", " NaN\n", " 15030.0 Practical_Salinity_Units\n", " \n", " \n", - " 29522\n", + " 31215\n", " 322\n", " ppth\n", " NaN\n", " 322.0 Practical_Salinity_Units\n", " \n", " \n", - " 40404\n", + " 42633\n", " 2150\n", " ppth\n", " NaN\n", " 2150.0 Practical_Salinity_Units\n", " \n", " \n", - " 65806\n", + " 69507\n", " 37782\n", " ppth\n", " NaN\n", " 37782.0 Practical_Salinity_Units\n", " \n", " \n", - " 136216\n", + " 142665\n", " 2190\n", " ppt\n", " NaN\n", @@ -6627,18 +7016,18 @@ ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag \\\n", - "20414 15030 ppt NaN \n", - "29522 322 ppth NaN \n", - "40404 2150 ppth NaN \n", - "65806 37782 ppth NaN \n", - "136216 2190 ppt NaN \n", + "21759 15030 ppt NaN \n", + "31215 322 ppth NaN \n", + "42633 2150 ppth NaN \n", + "69507 37782 ppth NaN \n", + "142665 2190 ppt NaN \n", "\n", " Salinity \n", - "20414 15030.0 Practical_Salinity_Units \n", - "29522 322.0 Practical_Salinity_Units \n", - "40404 2150.0 Practical_Salinity_Units \n", - "65806 37782.0 Practical_Salinity_Units \n", - "136216 2190.0 Practical_Salinity_Units " + "21759 15030.0 Practical_Salinity_Units \n", + "31215 322.0 Practical_Salinity_Units \n", + "42633 2150.0 Practical_Salinity_Units \n", + "69507 37782.0 Practical_Salinity_Units \n", + "142665 2190.0 Practical_Salinity_Units " ] }, "execution_count": 76, @@ -6663,7 +7052,14 @@ { "cell_type": "code", "execution_count": 77, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:54.327222Z", + "iopub.status.busy": "2024-08-16T20:42:54.326853Z", + "iopub.status.idle": "2024-08-16T20:42:54.329652Z", + "shell.execute_reply": "2024-08-16T20:42:54.329183Z" + } + }, "outputs": [], "source": [ "from harmonize_wq import wrangle" @@ -6672,7 +7068,14 @@ { "cell_type": "code", "execution_count": 78, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:42:54.331723Z", + "iopub.status.busy": "2024-08-16T20:42:54.331385Z", + "iopub.status.idle": "2024-08-16T20:43:19.305913Z", + "shell.execute_reply": "2024-08-16T20:43:19.305298Z" + } + }, "outputs": [], "source": [ "df = wrangle.add_detection(df, 'Salinity')\n", @@ -6685,7 +7088,14 @@ { "cell_type": "code", "execution_count": 79, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:19.308411Z", + "iopub.status.busy": "2024-08-16T20:43:19.308068Z", + "iopub.status.idle": "2024-08-16T20:43:22.308607Z", + "shell.execute_reply": "2024-08-16T20:43:22.308046Z" + } + }, "outputs": [ { "data": { @@ -6720,7 +7130,7 @@ " \n", " \n", " \n", - " 2068\n", + " 2209\n", " 0.00\n", " ppth\n", " NaN\n", @@ -6731,7 +7141,7 @@ " NaN\n", " \n", " \n", - " 3526\n", + " 3786\n", " 0.00\n", " ppth\n", " NaN\n", @@ -6742,7 +7152,7 @@ " NaN\n", " \n", " \n", - " 17708\n", + " 18920\n", " 0.0\n", " ppth\n", " NaN\n", @@ -6753,7 +7163,7 @@ " NaN\n", " \n", " \n", - " 25649\n", + " 27214\n", " 0.0\n", " ppth\n", " NaN\n", @@ -6764,7 +7174,7 @@ " NaN\n", " \n", " \n", - " 30850\n", + " 32610\n", " 0.0\n", " ppth\n", " NaN\n", @@ -6786,8 +7196,8 @@ " ...\n", " \n", " \n", - " 299749\n", - " 0.0\n", + " 307362\n", + " 0\n", " ppth\n", " NaN\n", " 0.0 Practical_Salinity_Units\n", @@ -6797,8 +7207,8 @@ " NaN\n", " \n", " \n", - " 299788\n", - " 0.0\n", + " 307368\n", + " 0\n", " ppth\n", " NaN\n", " 0.0 Practical_Salinity_Units\n", @@ -6808,7 +7218,7 @@ " NaN\n", " \n", " \n", - " 332789\n", + " 345314\n", " 0.0\n", " ppth\n", " NaN\n", @@ -6819,7 +7229,7 @@ " NaN\n", " \n", " \n", - " 332993\n", + " 345657\n", " 0.0\n", " ppth\n", " NaN\n", @@ -6830,8 +7240,8 @@ " NaN\n", " \n", " \n", - " 348483\n", - " 0.0\n", + " 360922\n", + " 0\n", " ppth\n", " NaN\n", " 0.0 Practical_Salinity_Units\n", @@ -6847,69 +7257,69 @@ ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag \\\n", - "2068 0.00 ppth NaN \n", - "3526 0.00 ppth NaN \n", - "17708 0.0 ppth NaN \n", - "25649 0.0 ppth NaN \n", - "30850 0.0 ppth NaN \n", + "2209 0.00 ppth NaN \n", + "3786 0.00 ppth NaN \n", + "18920 0.0 ppth NaN \n", + "27214 0.0 ppth NaN \n", + "32610 0.0 ppth NaN \n", "... ... ... ... \n", - "299749 0.0 ppth NaN \n", - "299788 0.0 ppth NaN \n", - "332789 0.0 ppth NaN \n", - "332993 0.0 ppth NaN \n", - "348483 0.0 ppth NaN \n", + "307362 0 ppth NaN \n", + "307368 0 ppth NaN \n", + "345314 0.0 ppth NaN \n", + "345657 0.0 ppth NaN \n", + "360922 0 ppth NaN \n", "\n", " Salinity ResultDetectionConditionText \\\n", - "2068 0.0 Practical_Salinity_Units NaN \n", - "3526 0.0 Practical_Salinity_Units NaN \n", - "17708 0.0 Practical_Salinity_Units NaN \n", - "25649 0.0 Practical_Salinity_Units NaN \n", - "30850 0.0 Practical_Salinity_Units NaN \n", + "2209 0.0 Practical_Salinity_Units NaN \n", + "3786 0.0 Practical_Salinity_Units NaN \n", + "18920 0.0 Practical_Salinity_Units NaN \n", + "27214 0.0 Practical_Salinity_Units NaN \n", + "32610 0.0 Practical_Salinity_Units NaN \n", "... ... ... \n", - "299749 0.0 Practical_Salinity_Units NaN \n", - "299788 0.0 Practical_Salinity_Units NaN \n", - "332789 0.0 Practical_Salinity_Units NaN \n", - "332993 0.0 Practical_Salinity_Units NaN \n", - "348483 0.0 Practical_Salinity_Units NaN \n", + "307362 0.0 Practical_Salinity_Units NaN \n", + "307368 0.0 Practical_Salinity_Units NaN \n", + "345314 0.0 Practical_Salinity_Units NaN \n", + "345657 0.0 Practical_Salinity_Units NaN \n", + "360922 0.0 Practical_Salinity_Units NaN \n", "\n", " DetectionQuantitationLimitTypeName \\\n", - "2068 NaN \n", - "3526 NaN \n", - "17708 NaN \n", - "25649 NaN \n", - "30850 NaN \n", + "2209 NaN \n", + "3786 NaN \n", + "18920 NaN \n", + "27214 NaN \n", + "32610 NaN \n", "... ... \n", - "299749 NaN \n", - "299788 NaN \n", - "332789 NaN \n", - "332993 NaN \n", - "348483 NaN \n", + "307362 NaN \n", + "307368 NaN \n", + "345314 NaN \n", + "345657 NaN \n", + "360922 NaN \n", "\n", " DetectionQuantitationLimitMeasure/MeasureValue \\\n", - "2068 NaN \n", - "3526 NaN \n", - "17708 NaN \n", - "25649 NaN \n", - "30850 NaN \n", + "2209 NaN \n", + "3786 NaN \n", + "18920 NaN \n", + "27214 NaN \n", + "32610 NaN \n", "... ... \n", - "299749 NaN \n", - "299788 NaN \n", - "332789 NaN \n", - "332993 NaN \n", - "348483 NaN \n", + "307362 NaN \n", + "307368 NaN \n", + "345314 NaN \n", + "345657 NaN \n", + "360922 NaN \n", "\n", " DetectionQuantitationLimitMeasure/MeasureUnitCode \n", - "2068 NaN \n", - "3526 NaN \n", - "17708 NaN \n", - "25649 NaN \n", - "30850 NaN \n", + "2209 NaN \n", + "3786 NaN \n", + "18920 NaN \n", + "27214 NaN \n", + "32610 NaN \n", "... ... \n", - "299749 NaN \n", - "299788 NaN \n", - "332789 NaN \n", - "332993 NaN \n", - "348483 NaN \n", + "307362 NaN \n", + "307368 NaN \n", + "345314 NaN \n", + "345657 NaN \n", + "360922 NaN \n", "\n", "[2324 rows x 8 columns]" ] @@ -6934,22 +7344,29 @@ { "cell_type": "code", "execution_count": 80, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:22.310910Z", + "iopub.status.busy": "2024-08-16T20:43:22.310727Z", + "iopub.status.idle": "2024-08-16T20:43:22.324689Z", + "shell.execute_reply": "2024-08-16T20:43:22.324114Z" + } + }, "outputs": [ { "data": { "text/plain": [ "8 19204.2 microsiemens / centimeter\n", - "45 222.3 microsiemens / centimeter\n", - "221 102.8 microsiemens / centimeter\n", - "374 11017.5 microsiemens / centimeter\n", - "691 32.0 microsiemens / centimeter\n", + "50 222.3 microsiemens / centimeter\n", + "232 102.8 microsiemens / centimeter\n", + "394 11017.5 microsiemens / centimeter\n", + "746 32.0 microsiemens / centimeter\n", " ... \n", - "384180 110.0 microsiemens / centimeter\n", - "384187 65.0 microsiemens / centimeter\n", - "384188 110.0 microsiemens / centimeter\n", - "384191 390.0 microsiemens / centimeter\n", - "384193 65.0 microsiemens / centimeter\n", + "397047 110.0 microsiemens / centimeter\n", + "397054 65.0 microsiemens / centimeter\n", + "397055 110.0 microsiemens / centimeter\n", + "397058 390.0 microsiemens / centimeter\n", + "397061 65.0 microsiemens / centimeter\n", "Name: Conductivity, Length: 1818, dtype: object" ] }, @@ -6974,7 +7391,14 @@ { "cell_type": "code", "execution_count": 81, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:22.326965Z", + "iopub.status.busy": "2024-08-16T20:43:22.326639Z", + "iopub.status.idle": "2024-08-16T20:43:22.709500Z", + "shell.execute_reply": "2024-08-16T20:43:22.708882Z" + } + }, "outputs": [ { "data": { @@ -7006,7 +7430,7 @@ " \n", " \n", " \n", - " 123204\n", + " 129171\n", " 54886.2\n", " umho/cm\n", " NaN\n", @@ -7014,7 +7438,7 @@ " 54886.2 microsiemens / centimeter\n", " \n", " \n", - " 126411\n", + " 132518\n", " 54871.3\n", " umho/cm\n", " NaN\n", @@ -7022,7 +7446,7 @@ " 54871.3 microsiemens / centimeter\n", " \n", " \n", - " 119986\n", + " 125816\n", " 54860.6\n", " umho/cm\n", " NaN\n", @@ -7030,7 +7454,7 @@ " 54860.6 microsiemens / centimeter\n", " \n", " \n", - " 125189\n", + " 131249\n", " 54859.3\n", " umho/cm\n", " NaN\n", @@ -7038,7 +7462,7 @@ " 54859.3 microsiemens / centimeter\n", " \n", " \n", - " 119414\n", + " 125215\n", " 54850.8\n", " umho/cm\n", " NaN\n", @@ -7054,7 +7478,7 @@ " ...\n", " \n", " \n", - " 81788\n", + " 76827\n", " 6.8\n", " umho/cm\n", " NaN\n", @@ -7062,7 +7486,7 @@ " 6.8 microsiemens / centimeter\n", " \n", " \n", - " 48865\n", + " 142803\n", " 2\n", " umho/cm\n", " NaN\n", @@ -7070,7 +7494,7 @@ " 2.0 microsiemens / centimeter\n", " \n", " \n", - " 136344\n", + " 51516\n", " 2\n", " umho/cm\n", " NaN\n", @@ -7078,7 +7502,7 @@ " 2.0 microsiemens / centimeter\n", " \n", " \n", - " 34887\n", + " 36855\n", " 1\n", " umho/cm\n", " NaN\n", @@ -7086,7 +7510,7 @@ " 1.0 microsiemens / centimeter\n", " \n", " \n", - " 137479\n", + " 143985\n", " .04\n", " umho/cm\n", " NaN\n", @@ -7100,30 +7524,30 @@ ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag Salinity \\\n", - "123204 54886.2 umho/cm NaN NaN \n", - "126411 54871.3 umho/cm NaN NaN \n", - "119986 54860.6 umho/cm NaN NaN \n", - "125189 54859.3 umho/cm NaN NaN \n", - "119414 54850.8 umho/cm NaN NaN \n", + "129171 54886.2 umho/cm NaN NaN \n", + "132518 54871.3 umho/cm NaN NaN \n", + "125816 54860.6 umho/cm NaN NaN \n", + "131249 54859.3 umho/cm NaN NaN \n", + "125215 54850.8 umho/cm NaN NaN \n", "... ... ... ... ... \n", - "81788 6.8 umho/cm NaN NaN \n", - "48865 2 umho/cm NaN NaN \n", - "136344 2 umho/cm NaN NaN \n", - "34887 1 umho/cm NaN NaN \n", - "137479 .04 umho/cm NaN NaN \n", + "76827 6.8 umho/cm NaN NaN \n", + "142803 2 umho/cm NaN NaN \n", + "51516 2 umho/cm NaN NaN \n", + "36855 1 umho/cm NaN NaN \n", + "143985 .04 umho/cm NaN NaN \n", "\n", " Conductivity \n", - "123204 54886.2 microsiemens / centimeter \n", - "126411 54871.3 microsiemens / centimeter \n", - "119986 54860.6 microsiemens / centimeter \n", - "125189 54859.3 microsiemens / centimeter \n", - "119414 54850.8 microsiemens / centimeter \n", + "129171 54886.2 microsiemens / centimeter \n", + "132518 54871.3 microsiemens / centimeter \n", + "125816 54860.6 microsiemens / centimeter \n", + "131249 54859.3 microsiemens / centimeter \n", + "125215 54850.8 microsiemens / centimeter \n", "... ... \n", - "81788 6.8 microsiemens / centimeter \n", - "48865 2.0 microsiemens / centimeter \n", - "136344 2.0 microsiemens / centimeter \n", - "34887 1.0 microsiemens / centimeter \n", - "137479 0.04 microsiemens / centimeter \n", + "76827 6.8 microsiemens / centimeter \n", + "142803 2.0 microsiemens / centimeter \n", + "51516 2.0 microsiemens / centimeter \n", + "36855 1.0 microsiemens / centimeter \n", + "143985 0.04 microsiemens / centimeter \n", "\n", "[1818 rows x 5 columns]" ] @@ -7143,7 +7567,14 @@ { "cell_type": "code", "execution_count": 82, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:22.711819Z", + "iopub.status.busy": "2024-08-16T20:43:22.711647Z", + "iopub.status.idle": "2024-08-16T20:43:22.731469Z", + "shell.execute_reply": "2024-08-16T20:43:22.730882Z" + } + }, "outputs": [ { "data": { @@ -7175,7 +7606,7 @@ " \n", " \n", " \n", - " 123204\n", + " 129171\n", " 54886.2\n", " umho/cm\n", " NaN\n", @@ -7183,7 +7614,7 @@ " 54886.2 microsiemens / centimeter\n", " \n", " \n", - " 126411\n", + " 132518\n", " 54871.3\n", " umho/cm\n", " NaN\n", @@ -7191,7 +7622,7 @@ " 54871.3 microsiemens / centimeter\n", " \n", " \n", - " 119986\n", + " 125816\n", " 54860.6\n", " umho/cm\n", " NaN\n", @@ -7199,7 +7630,7 @@ " 54860.6 microsiemens / centimeter\n", " \n", " \n", - " 125189\n", + " 131249\n", " 54859.3\n", " umho/cm\n", " NaN\n", @@ -7207,7 +7638,7 @@ " 54859.3 microsiemens / centimeter\n", " \n", " \n", - " 119414\n", + " 125215\n", " 54850.8\n", " umho/cm\n", " NaN\n", @@ -7223,7 +7654,7 @@ " ...\n", " \n", " \n", - " 81788\n", + " 76827\n", " 6.8\n", " umho/cm\n", " NaN\n", @@ -7231,7 +7662,7 @@ " 6.8 microsiemens / centimeter\n", " \n", " \n", - " 48865\n", + " 142803\n", " 2\n", " umho/cm\n", " NaN\n", @@ -7239,7 +7670,7 @@ " 2.0 microsiemens / centimeter\n", " \n", " \n", - " 136344\n", + " 51516\n", " 2\n", " umho/cm\n", " NaN\n", @@ -7247,7 +7678,7 @@ " 2.0 microsiemens / centimeter\n", " \n", " \n", - " 34887\n", + " 36855\n", " 1\n", " umho/cm\n", " NaN\n", @@ -7255,7 +7686,7 @@ " 1.0 microsiemens / centimeter\n", " \n", " \n", - " 137479\n", + " 143985\n", " .04\n", " umho/cm\n", " NaN\n", @@ -7269,30 +7700,30 @@ ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag Salinity \\\n", - "123204 54886.2 umho/cm NaN NaN \n", - "126411 54871.3 umho/cm NaN NaN \n", - "119986 54860.6 umho/cm NaN NaN \n", - "125189 54859.3 umho/cm NaN NaN \n", - "119414 54850.8 umho/cm NaN NaN \n", + "129171 54886.2 umho/cm NaN NaN \n", + "132518 54871.3 umho/cm NaN NaN \n", + "125816 54860.6 umho/cm NaN NaN \n", + "131249 54859.3 umho/cm NaN NaN \n", + "125215 54850.8 umho/cm NaN NaN \n", "... ... ... ... ... \n", - "81788 6.8 umho/cm NaN NaN \n", - "48865 2 umho/cm NaN NaN \n", - "136344 2 umho/cm NaN NaN \n", - "34887 1 umho/cm NaN NaN \n", - "137479 .04 umho/cm NaN NaN \n", + "76827 6.8 umho/cm NaN NaN \n", + "142803 2 umho/cm NaN NaN \n", + "51516 2 umho/cm NaN NaN \n", + "36855 1 umho/cm NaN NaN \n", + "143985 .04 umho/cm NaN NaN \n", "\n", " Conductivity \n", - "123204 54886.2 microsiemens / centimeter \n", - "126411 54871.3 microsiemens / centimeter \n", - "119986 54860.6 microsiemens / centimeter \n", - "125189 54859.3 microsiemens / centimeter \n", - "119414 54850.8 microsiemens / centimeter \n", + "129171 54886.2 microsiemens / centimeter \n", + "132518 54871.3 microsiemens / centimeter \n", + "125816 54860.6 microsiemens / centimeter \n", + "131249 54859.3 microsiemens / centimeter \n", + "125215 54850.8 microsiemens / centimeter \n", "... ... \n", - "81788 6.8 microsiemens / centimeter \n", - "48865 2.0 microsiemens / centimeter \n", - "136344 2.0 microsiemens / centimeter \n", - "34887 1.0 microsiemens / centimeter \n", - "137479 0.04 microsiemens / centimeter \n", + "76827 6.8 microsiemens / centimeter \n", + "142803 2.0 microsiemens / centimeter \n", + "51516 2.0 microsiemens / centimeter \n", + "36855 1.0 microsiemens / centimeter \n", + "143985 0.04 microsiemens / centimeter \n", "\n", "[1818 rows x 5 columns]" ] @@ -7311,22 +7742,29 @@ { "cell_type": "code", "execution_count": 83, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:22.733630Z", + "iopub.status.busy": "2024-08-16T20:43:22.733446Z", + "iopub.status.idle": "2024-08-16T20:43:23.218731Z", + "shell.execute_reply": "2024-08-16T20:43:23.218102Z" + } + }, "outputs": [ { "data": { "text/plain": [ - "123204 36.356 dimensionless\n", - "126411 36.345 dimensionless\n", - "119986 36.338 dimensionless\n", - "125189 36.336 dimensionless\n", - "119414 36.33 dimensionless\n", + "129171 36.356 dimensionless\n", + "132518 36.345 dimensionless\n", + "125816 36.338 dimensionless\n", + "131249 36.336 dimensionless\n", + "125215 36.33 dimensionless\n", " ... \n", - "81788 0.013 dimensionless\n", - "48865 0.012 dimensionless\n", - "136344 0.012 dimensionless\n", - "34887 0.012 dimensionless\n", - "137479 0.012 dimensionless\n", + "76827 0.013 dimensionless\n", + "142803 0.012 dimensionless\n", + "51516 0.012 dimensionless\n", + "36855 0.012 dimensionless\n", + "143985 0.012 dimensionless\n", "Name: Salinity, Length: 1818, dtype: object" ] }, @@ -7359,7 +7797,14 @@ { "cell_type": "code", "execution_count": 84, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:23.221152Z", + "iopub.status.busy": "2024-08-16T20:43:23.220805Z", + "iopub.status.idle": "2024-08-16T20:43:23.238340Z", + "shell.execute_reply": "2024-08-16T20:43:23.237745Z" + } + }, "outputs": [ { "data": { @@ -7389,31 +7834,31 @@ " \n", " \n", " \n", - " 123204\n", + " 129171\n", " 2007-08-09\n", " 12:15:00\n", " CST\n", " \n", " \n", - " 126411\n", + " 132518\n", " 2007-08-09\n", " 12:15:00\n", " CST\n", " \n", " \n", - " 119986\n", + " 125816\n", " 2007-08-09\n", " 12:15:00\n", " CST\n", " \n", " \n", - " 125189\n", + " 131249\n", " 2007-08-09\n", " 12:15:00\n", " CST\n", " \n", " \n", - " 119414\n", + " 125215\n", " 2007-08-09\n", " 12:15:00\n", " CST\n", @@ -7425,55 +7870,55 @@ " ...\n", " \n", " \n", - " 384415\n", - " 2023-10-17\n", - " 11:05:00\n", - " EST\n", + " 398019\n", + " 2024-03-12\n", + " 08:45:00\n", + " CDT\n", " \n", " \n", - " 384416\n", - " 2023-10-17\n", - " 11:05:00\n", - " EST\n", + " 398020\n", + " 2024-03-13\n", + " 08:20:00\n", + " CDT\n", " \n", " \n", - " 384417\n", - " 2023-10-17\n", - " 09:10:00\n", - " EST\n", + " 398021\n", + " 2024-03-06\n", + " 07:45:00\n", + " CDT\n", " \n", " \n", - " 384418\n", - " 2023-10-17\n", - " 11:55:00\n", - " EST\n", + " 398022\n", + " 2024-03-06\n", + " 11:30:00\n", + " CDT\n", " \n", " \n", - " 384419\n", - " 2023-10-04\n", - " 10:30:00\n", + " 398023\n", + " 2024-03-12\n", + " 08:45:00\n", " CDT\n", " \n", " \n", "\n", - "

384420 rows × 3 columns

\n", + "

398024 rows × 3 columns

\n", "" ], "text/plain": [ " ActivityStartDate ActivityStartTime/Time ActivityStartTime/TimeZoneCode\n", - "123204 2007-08-09 12:15:00 CST\n", - "126411 2007-08-09 12:15:00 CST\n", - "119986 2007-08-09 12:15:00 CST\n", - "125189 2007-08-09 12:15:00 CST\n", - "119414 2007-08-09 12:15:00 CST\n", + "129171 2007-08-09 12:15:00 CST\n", + "132518 2007-08-09 12:15:00 CST\n", + "125816 2007-08-09 12:15:00 CST\n", + "131249 2007-08-09 12:15:00 CST\n", + "125215 2007-08-09 12:15:00 CST\n", "... ... ... ...\n", - "384415 2023-10-17 11:05:00 EST\n", - "384416 2023-10-17 11:05:00 EST\n", - "384417 2023-10-17 09:10:00 EST\n", - "384418 2023-10-17 11:55:00 EST\n", - "384419 2023-10-04 10:30:00 CDT\n", + "398019 2024-03-12 08:45:00 CDT\n", + "398020 2024-03-13 08:20:00 CDT\n", + "398021 2024-03-06 07:45:00 CDT\n", + "398022 2024-03-06 11:30:00 CDT\n", + "398023 2024-03-12 08:45:00 CDT\n", "\n", - "[384420 rows x 3 columns]" + "[398024 rows x 3 columns]" ] }, "execution_count": 84, @@ -7490,13 +7935,20 @@ { "cell_type": "code", "execution_count": 85, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:23.240576Z", + "iopub.status.busy": "2024-08-16T20:43:23.240227Z", + "iopub.status.idle": "2024-08-16T20:43:24.684311Z", + "shell.execute_reply": "2024-08-16T20:43:24.683671Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\dataretrieval\\utils.py:87: UserWarning: Warning: 35994 incomplete dates found, consider setting datetime_index to False.\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/dataretrieval/utils.py:87: UserWarning: Warning: 35999 incomplete dates found, consider setting datetime_index to False.\n", " warnings.warn(\n" ] }, @@ -7527,27 +7979,27 @@ " \n", " \n", " \n", - " 123204\n", + " 129171\n", " 2007-08-09\n", " 2007-08-09 18:15:00+00:00\n", " \n", " \n", - " 126411\n", + " 132518\n", " 2007-08-09\n", " 2007-08-09 18:15:00+00:00\n", " \n", " \n", - " 119986\n", + " 125816\n", " 2007-08-09\n", " 2007-08-09 18:15:00+00:00\n", " \n", " \n", - " 125189\n", + " 131249\n", " 2007-08-09\n", " 2007-08-09 18:15:00+00:00\n", " \n", " \n", - " 119414\n", + " 125215\n", " 2007-08-09\n", " 2007-08-09 18:15:00+00:00\n", " \n", @@ -7557,50 +8009,50 @@ " ...\n", " \n", " \n", - " 384415\n", - " 2023-10-17\n", - " 2023-10-17 16:05:00+00:00\n", + " 398019\n", + " 2024-03-12\n", + " 2024-03-12 13:45:00+00:00\n", " \n", " \n", - " 384416\n", - " 2023-10-17\n", - " 2023-10-17 16:05:00+00:00\n", + " 398020\n", + " 2024-03-13\n", + " 2024-03-13 13:20:00+00:00\n", " \n", " \n", - " 384417\n", - " 2023-10-17\n", - " 2023-10-17 14:10:00+00:00\n", + " 398021\n", + " 2024-03-06\n", + " 2024-03-06 12:45:00+00:00\n", " \n", " \n", - " 384418\n", - " 2023-10-17\n", - " 2023-10-17 16:55:00+00:00\n", + " 398022\n", + " 2024-03-06\n", + " 2024-03-06 16:30:00+00:00\n", " \n", " \n", - " 384419\n", - " 2023-10-04\n", - " 2023-10-04 15:30:00+00:00\n", + " 398023\n", + " 2024-03-12\n", + " 2024-03-12 13:45:00+00:00\n", " \n", " \n", "\n", - "

384420 rows × 2 columns

\n", + "

398024 rows × 2 columns

\n", "" ], "text/plain": [ " ActivityStartDate Activity_datetime\n", - "123204 2007-08-09 2007-08-09 18:15:00+00:00\n", - "126411 2007-08-09 2007-08-09 18:15:00+00:00\n", - "119986 2007-08-09 2007-08-09 18:15:00+00:00\n", - "125189 2007-08-09 2007-08-09 18:15:00+00:00\n", - "119414 2007-08-09 2007-08-09 18:15:00+00:00\n", + "129171 2007-08-09 2007-08-09 18:15:00+00:00\n", + "132518 2007-08-09 2007-08-09 18:15:00+00:00\n", + "125816 2007-08-09 2007-08-09 18:15:00+00:00\n", + "131249 2007-08-09 2007-08-09 18:15:00+00:00\n", + "125215 2007-08-09 2007-08-09 18:15:00+00:00\n", "... ... ...\n", - "384415 2023-10-17 2023-10-17 16:05:00+00:00\n", - "384416 2023-10-17 2023-10-17 16:05:00+00:00\n", - "384417 2023-10-17 2023-10-17 14:10:00+00:00\n", - "384418 2023-10-17 2023-10-17 16:55:00+00:00\n", - "384419 2023-10-04 2023-10-04 15:30:00+00:00\n", + "398019 2024-03-12 2024-03-12 13:45:00+00:00\n", + "398020 2024-03-13 2024-03-13 13:20:00+00:00\n", + "398021 2024-03-06 2024-03-06 12:45:00+00:00\n", + "398022 2024-03-06 2024-03-06 16:30:00+00:00\n", + "398023 2024-03-12 2024-03-12 13:45:00+00:00\n", "\n", - "[384420 rows x 2 columns]" + "[398024 rows x 2 columns]" ] }, "execution_count": 85, @@ -7638,30 +8090,29 @@ { "cell_type": "code", "execution_count": 86, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:24.686760Z", + "iopub.status.busy": "2024-08-16T20:43:24.686408Z", + "iopub.status.idle": "2024-08-16T20:43:25.242882Z", + "shell.execute_reply": "2024-08-16T20:43:25.242374Z" + } + }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" - ] - }, { "data": { "text/plain": [ - "2975 7.0\n", - "5566 7.0\n", - "69583 0.1\n", - "69623 2.2\n", - "69689 2.0\n", + "1618 7.0\n", + "3651 7.0\n", + "78363 1.0\n", + "78833 16.0\n", + "79237 16.0\n", " ... \n", - "78338 2.2\n", - "80018 16.0\n", - "81262 16.0\n", - "82395 1.0\n", - "131202 35.0\n", + "100717 0.5\n", + "100801 1.3\n", + "100816 2.0\n", + "100843 2.2\n", + "142158 35.0\n", "Name: ResultDepthHeightMeasure/MeasureValue, Length: 179, dtype: float64" ] }, @@ -7687,7 +8138,14 @@ { "cell_type": "code", "execution_count": 87, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:25.245216Z", + "iopub.status.busy": "2024-08-16T20:43:25.244852Z", + "iopub.status.idle": "2024-08-16T20:43:30.708131Z", + "shell.execute_reply": "2024-08-16T20:43:30.707514Z" + } + }, "outputs": [ { "data": { @@ -7721,21 +8179,21 @@ " DataLoggerLine\n", " ResultDetectionConditionText\n", " ...\n", - " QA_Carbon\n", - " QA_Conductivity\n", - " QA_Secchi\n", - " QA_Salinity\n", + " QA_Turbidity\n", + " QA_Fecal_Coliform\n", + " QA_Temperature\n", " QA_Chlorophyll\n", + " QA_pH\n", " QA_E_coli\n", + " QA_TP_Phosphorus\n", + " QA_TDP_Phosphorus\n", + " QA_Other_Phosphorus\n", " QA_Nitrogen\n", - " QA_Fecal_Coliform\n", - " QA_pH\n", - " QA_Temperature\n", " \n", " \n", " \n", " \n", - " 123204\n", + " 129171\n", " 21AWIC\n", " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", " 21AWIC-51908_230231_173\n", @@ -7759,7 +8217,7 @@ " NaN\n", " \n", " \n", - " 126411\n", + " 132518\n", " 21AWIC\n", " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", " 21AWIC-51908_230230_173\n", @@ -7783,7 +8241,7 @@ " NaN\n", " \n", " \n", - " 119986\n", + " 125816\n", " 21AWIC\n", " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", " 21AWIC-51908_230228_173\n", @@ -7807,7 +8265,7 @@ " NaN\n", " \n", " \n", - " 125189\n", + " 131249\n", " 21AWIC\n", " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", " 21AWIC-51908_230229_173\n", @@ -7831,7 +8289,7 @@ " NaN\n", " \n", " \n", - " 119414\n", + " 125215\n", " 21AWIC\n", " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", " 21AWIC-51908_230227_173\n", @@ -7879,16 +8337,16 @@ " ...\n", " \n", " \n", - " 384414\n", - " 21FLPNS_WQX\n", - " FL Dept. of Environmental Protection, Northwes...\n", - " 21FLPNS_WQX-G5NW0068-10/17/23-FP1\n", - " 2023-10-17\n", - " 09:10:00\n", + " 398019\n", + " 21AWIC\n", + " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", + " 21AWIC-335775_1872970_173\n", + " 2024-03-12\n", + " 08:45:00\n", " -0500\n", - " 21FLPNS_WQX-G5NW0068\n", - " STORET-993431688\n", - " NaN\n", + " 21AWIC-1122\n", + " STORET-1039185742\n", + " 1872970.0\n", " NaN\n", " ...\n", " NaN\n", @@ -7903,16 +8361,16 @@ " NaN\n", " \n", " \n", - " 384416\n", - " 21FLPNS_WQX\n", - " FL Dept. of Environmental Protection, Northwes...\n", - " 21FLPNS_WQX-G4NW0509-10/17/23-FP1\n", - " 2023-10-17\n", - " 11:05:00\n", + " 398020\n", + " 21AWIC\n", + " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", + " 21AWIC-335811_1873102_173\n", + " 2024-03-13\n", + " 08:20:00\n", " -0500\n", - " 21FLPNS_WQX-G4NW0509\n", - " STORET-993436286\n", - " NaN\n", + " 21AWIC-9768\n", + " STORET-1039186101\n", + " 1873102.0\n", " NaN\n", " ...\n", " NaN\n", @@ -7927,16 +8385,16 @@ " NaN\n", " \n", " \n", - " 384417\n", - " 21FLPNS_WQX\n", - " FL Dept. of Environmental Protection, Northwes...\n", - " 21FLPNS_WQX-G5NW0068-10/17/23\n", - " 2023-10-17\n", - " 09:10:00\n", + " 398021\n", + " 21AWIC\n", + " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", + " 21AWIC-335642_1872425_173\n", + " 2024-03-06\n", + " 07:45:00\n", " -0500\n", - " 21FLPNS_WQX-G5NW0068\n", - " STORET-993415132\n", - " NaN\n", + " 21AWIC-1208\n", + " STORET-1039185482\n", + " 1872425.0\n", " NaN\n", " ...\n", " NaN\n", @@ -7951,16 +8409,16 @@ " NaN\n", " \n", " \n", - " 384418\n", - " 21FLPNS_WQX\n", - " FL Dept. of Environmental Protection, Northwes...\n", - " 21FLPNS_WQX-G4NW0508-10/17/23-FP2\n", - " 2023-10-17\n", - " 11:55:00\n", + " 398022\n", + " 21AWIC\n", + " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", + " 21AWIC-335728_1874877_173\n", + " 2024-03-06\n", + " 11:30:00\n", " -0500\n", - " 21FLPNS_WQX-G4NW0508\n", - " STORET-993431681\n", - " NaN\n", + " 21AWIC-1152\n", + " STORET-1039189350\n", + " 1874877.0\n", " NaN\n", " ...\n", " NaN\n", @@ -7975,16 +8433,16 @@ " NaN\n", " \n", " \n", - " 384419\n", + " 398023\n", " 21AWIC\n", " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", - " 21AWIC-333164_1852026_173\n", - " 2023-10-04\n", - " 10:30:00\n", + " 21AWIC-335775_1872969_173\n", + " 2024-03-12\n", + " 08:45:00\n", " -0500\n", - " 21AWIC-1152\n", - " STORET-998548771\n", - " 1852026.0\n", + " 21AWIC-1122\n", + " STORET-1039185734\n", + " 1872969.0\n", " NaN\n", " ...\n", " NaN\n", @@ -8000,115 +8458,115 @@ " \n", " \n", "\n", - "

339323 rows × 117 columns

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347770 rows × 117 columns

\n", "" ], "text/plain": [ " OrganizationIdentifier \\\n", - "123204 21AWIC \n", - "126411 21AWIC \n", - "119986 21AWIC \n", - "125189 21AWIC \n", - "119414 21AWIC \n", + "129171 21AWIC \n", + "132518 21AWIC \n", + "125816 21AWIC \n", + "131249 21AWIC \n", + "125215 21AWIC \n", "... ... \n", - "384414 21FLPNS_WQX \n", - "384416 21FLPNS_WQX \n", - "384417 21FLPNS_WQX \n", - "384418 21FLPNS_WQX \n", - "384419 21AWIC \n", + "398019 21AWIC \n", + "398020 21AWIC \n", + "398021 21AWIC \n", + "398022 21AWIC \n", + "398023 21AWIC \n", "\n", " OrganizationFormalName \\\n", - "123204 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", - "126411 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", - "119986 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", - "125189 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", - "119414 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", + "129171 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", + "132518 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", + "125816 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", + "131249 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", + "125215 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", "... ... \n", - "384414 FL Dept. of Environmental Protection, Northwes... \n", - "384416 FL Dept. of Environmental Protection, Northwes... \n", - "384417 FL Dept. of Environmental Protection, Northwes... \n", - "384418 FL Dept. of Environmental Protection, Northwes... \n", - "384419 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", - "\n", - " ActivityIdentifier ActivityStartDate \\\n", - "123204 21AWIC-51908_230231_173 2007-08-09 \n", - "126411 21AWIC-51908_230230_173 2007-08-09 \n", - "119986 21AWIC-51908_230228_173 2007-08-09 \n", - "125189 21AWIC-51908_230229_173 2007-08-09 \n", - "119414 21AWIC-51908_230227_173 2007-08-09 \n", - "... ... ... \n", - "384414 21FLPNS_WQX-G5NW0068-10/17/23-FP1 2023-10-17 \n", - "384416 21FLPNS_WQX-G4NW0509-10/17/23-FP1 2023-10-17 \n", - "384417 21FLPNS_WQX-G5NW0068-10/17/23 2023-10-17 \n", - "384418 21FLPNS_WQX-G4NW0508-10/17/23-FP2 2023-10-17 \n", - "384419 21AWIC-333164_1852026_173 2023-10-04 \n", - "\n", - " ActivityStartTime/Time ActivityStartTime/TimeZoneCode \\\n", - "123204 12:15:00 -0600 \n", - "126411 12:15:00 -0600 \n", - "119986 12:15:00 -0600 \n", - "125189 12:15:00 -0600 \n", - "119414 12:15:00 -0600 \n", - "... ... ... \n", - "384414 09:10:00 -0500 \n", - "384416 11:05:00 -0500 \n", - "384417 09:10:00 -0500 \n", - "384418 11:55:00 -0500 \n", - "384419 10:30:00 -0500 \n", - "\n", - " MonitoringLocationIdentifier ResultIdentifier DataLoggerLine \\\n", - "123204 21AWIC-1122 STORET-170383613 230231.0 \n", - "126411 21AWIC-1122 STORET-170383607 230230.0 \n", - "119986 21AWIC-1122 STORET-170383595 230228.0 \n", - "125189 21AWIC-1122 STORET-170383601 230229.0 \n", - "119414 21AWIC-1122 STORET-170383589 230227.0 \n", - "... ... ... ... \n", - "384414 21FLPNS_WQX-G5NW0068 STORET-993431688 NaN \n", - "384416 21FLPNS_WQX-G4NW0509 STORET-993436286 NaN \n", - "384417 21FLPNS_WQX-G5NW0068 STORET-993415132 NaN \n", - "384418 21FLPNS_WQX-G4NW0508 STORET-993431681 NaN \n", - "384419 21AWIC-1152 STORET-998548771 1852026.0 \n", - "\n", - " ResultDetectionConditionText ... QA_Carbon QA_Conductivity QA_Secchi \\\n", - "123204 NaN ... NaN NaN NaN \n", - "126411 NaN ... NaN NaN NaN \n", - "119986 NaN ... NaN NaN NaN \n", - "125189 NaN ... NaN NaN NaN \n", - "119414 NaN ... NaN NaN NaN \n", - "... ... ... ... ... ... \n", - "384414 NaN ... NaN NaN NaN \n", - "384416 NaN ... NaN NaN NaN \n", - "384417 NaN ... NaN NaN NaN \n", - "384418 NaN ... NaN NaN NaN \n", - "384419 NaN ... NaN NaN NaN \n", - "\n", - " QA_Salinity QA_Chlorophyll QA_E_coli QA_Nitrogen QA_Fecal_Coliform \\\n", - "123204 NaN NaN NaN NaN NaN \n", - "126411 NaN NaN NaN NaN NaN \n", - "119986 NaN NaN NaN NaN NaN \n", - "125189 NaN NaN NaN NaN NaN \n", - "119414 NaN NaN NaN NaN NaN \n", - "... ... ... ... ... ... \n", - "384414 NaN NaN NaN NaN NaN \n", - "384416 NaN NaN NaN NaN NaN \n", - "384417 NaN NaN NaN NaN NaN \n", - "384418 NaN NaN NaN NaN NaN \n", - "384419 NaN NaN NaN NaN NaN \n", - "\n", - " QA_pH QA_Temperature \n", - "123204 NaN NaN \n", - "126411 NaN NaN \n", - "119986 NaN NaN \n", - "125189 NaN NaN \n", - "119414 NaN NaN \n", - "... ... ... \n", - "384414 NaN NaN \n", - "384416 NaN NaN \n", - "384417 NaN NaN \n", - "384418 NaN NaN \n", - "384419 NaN NaN \n", - "\n", - "[339323 rows x 117 columns]" + "398019 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", + "398020 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", + "398021 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", + "398022 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", + "398023 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", + "\n", + " ActivityIdentifier ActivityStartDate ActivityStartTime/Time \\\n", + "129171 21AWIC-51908_230231_173 2007-08-09 12:15:00 \n", + "132518 21AWIC-51908_230230_173 2007-08-09 12:15:00 \n", + "125816 21AWIC-51908_230228_173 2007-08-09 12:15:00 \n", + "131249 21AWIC-51908_230229_173 2007-08-09 12:15:00 \n", + "125215 21AWIC-51908_230227_173 2007-08-09 12:15:00 \n", + "... ... ... ... \n", + "398019 21AWIC-335775_1872970_173 2024-03-12 08:45:00 \n", + "398020 21AWIC-335811_1873102_173 2024-03-13 08:20:00 \n", + "398021 21AWIC-335642_1872425_173 2024-03-06 07:45:00 \n", + "398022 21AWIC-335728_1874877_173 2024-03-06 11:30:00 \n", + "398023 21AWIC-335775_1872969_173 2024-03-12 08:45:00 \n", + "\n", + " ActivityStartTime/TimeZoneCode MonitoringLocationIdentifier \\\n", + "129171 -0600 21AWIC-1122 \n", + "132518 -0600 21AWIC-1122 \n", + "125816 -0600 21AWIC-1122 \n", + "131249 -0600 21AWIC-1122 \n", + "125215 -0600 21AWIC-1122 \n", + "... ... ... \n", + "398019 -0500 21AWIC-1122 \n", + "398020 -0500 21AWIC-9768 \n", + "398021 -0500 21AWIC-1208 \n", + "398022 -0500 21AWIC-1152 \n", + "398023 -0500 21AWIC-1122 \n", + "\n", + " ResultIdentifier DataLoggerLine ResultDetectionConditionText ... \\\n", + "129171 STORET-170383613 230231.0 NaN ... \n", + "132518 STORET-170383607 230230.0 NaN ... \n", + "125816 STORET-170383595 230228.0 NaN ... \n", + "131249 STORET-170383601 230229.0 NaN ... \n", + "125215 STORET-170383589 230227.0 NaN ... \n", + "... ... ... ... ... \n", + "398019 STORET-1039185742 1872970.0 NaN ... \n", + "398020 STORET-1039186101 1873102.0 NaN ... \n", + "398021 STORET-1039185482 1872425.0 NaN ... \n", + "398022 STORET-1039189350 1874877.0 NaN ... \n", + "398023 STORET-1039185734 1872969.0 NaN ... \n", + "\n", + " QA_Turbidity QA_Fecal_Coliform QA_Temperature QA_Chlorophyll QA_pH \\\n", + "129171 NaN NaN NaN NaN NaN \n", + "132518 NaN NaN NaN NaN NaN \n", + "125816 NaN NaN NaN NaN NaN \n", + "131249 NaN NaN NaN NaN NaN \n", + "125215 NaN NaN NaN NaN NaN \n", + "... ... ... ... ... ... \n", + "398019 NaN NaN NaN NaN NaN \n", + "398020 NaN NaN NaN NaN NaN \n", + "398021 NaN NaN NaN NaN NaN \n", + "398022 NaN NaN NaN NaN NaN \n", + "398023 NaN NaN NaN NaN NaN \n", + "\n", + " QA_E_coli QA_TP_Phosphorus QA_TDP_Phosphorus QA_Other_Phosphorus \\\n", + "129171 NaN NaN NaN NaN \n", + "132518 NaN NaN NaN NaN \n", + "125816 NaN NaN NaN NaN \n", + "131249 NaN NaN NaN NaN \n", + "125215 NaN NaN NaN NaN \n", + "... ... ... ... ... \n", + "398019 NaN NaN NaN NaN \n", + "398020 NaN NaN NaN NaN \n", + "398021 NaN NaN NaN NaN \n", + "398022 NaN NaN NaN NaN \n", + "398023 NaN NaN NaN NaN \n", + "\n", + " QA_Nitrogen \n", + "129171 NaN \n", + "132518 NaN \n", + "125816 NaN \n", + "131249 NaN \n", + "125215 NaN \n", + "... ... \n", + "398019 NaN \n", + "398020 NaN \n", + "398021 NaN \n", + "398022 NaN \n", + "398023 NaN \n", + "\n", + "[347770 rows x 117 columns]" ] }, "execution_count": 87, @@ -8125,7 +8583,14 @@ { "cell_type": "code", "execution_count": 88, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:30.710526Z", + "iopub.status.busy": "2024-08-16T20:43:30.710164Z", + "iopub.status.idle": "2024-08-16T20:43:30.713068Z", + "shell.execute_reply": "2024-08-16T20:43:30.712630Z" + } + }, "outputs": [ { "name": "stdout", @@ -8143,13 +8608,20 @@ { "cell_type": "code", "execution_count": 89, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:30.715358Z", + "iopub.status.busy": "2024-08-16T20:43:30.715008Z", + "iopub.status.idle": "2024-08-16T20:43:30.718009Z", + "shell.execute_reply": "2024-08-16T20:43:30.717455Z" + } + }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "45097 fewer rows\n" + "50254 fewer rows\n" ] } ], @@ -8161,7 +8633,14 @@ { "cell_type": "code", "execution_count": 90, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:30.720014Z", + "iopub.status.busy": "2024-08-16T20:43:30.719705Z", + "iopub.status.idle": "2024-08-16T20:43:31.207702Z", + "shell.execute_reply": "2024-08-16T20:43:31.207099Z" + } + }, "outputs": [ { "data": { @@ -8222,7 +8701,14 @@ { "cell_type": "code", "execution_count": 91, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:31.209965Z", + "iopub.status.busy": "2024-08-16T20:43:31.209601Z", + "iopub.status.idle": "2024-08-16T20:43:31.615931Z", + "shell.execute_reply": "2024-08-16T20:43:31.615324Z" + } + }, "outputs": [], "source": [ "# split table into main and characteristics tables\n", @@ -8232,7 +8718,14 @@ { "cell_type": "code", "execution_count": 92, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:31.618686Z", + "iopub.status.busy": "2024-08-16T20:43:31.618213Z", + "iopub.status.idle": "2024-08-16T20:43:31.622434Z", + "shell.execute_reply": "2024-08-16T20:43:31.621869Z" + } + }, "outputs": [ { "data": { @@ -8246,11 +8739,11 @@ " 'E_coli', 'DetectionQuantitationLimitTypeName',\n", " 'DetectionQuantitationLimitMeasure/MeasureValue',\n", " 'DetectionQuantitationLimitMeasure/MeasureUnitCode',\n", - " 'Activity_datetime', 'Depth', 'QA_Turbidity', 'QA_DO',\n", + " 'Activity_datetime', 'Depth', 'QA_Conductivity', 'QA_Salinity',\n", + " 'QA_Carbon', 'QA_DO', 'QA_Secchi', 'QA_Turbidity', 'QA_Fecal_Coliform',\n", + " 'QA_Temperature', 'QA_Chlorophyll', 'QA_pH', 'QA_E_coli',\n", " 'QA_TP_Phosphorus', 'QA_TDP_Phosphorus', 'QA_Other_Phosphorus',\n", - " 'QA_Carbon', 'QA_Conductivity', 'QA_Secchi', 'QA_Salinity',\n", - " 'QA_Chlorophyll', 'QA_E_coli', 'QA_Nitrogen', 'QA_Fecal_Coliform',\n", - " 'QA_pH', 'QA_Temperature'],\n", + " 'QA_Nitrogen'],\n", " dtype='object')" ] }, @@ -8267,7 +8760,14 @@ { "cell_type": "code", "execution_count": 93, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:31.624528Z", + "iopub.status.busy": "2024-08-16T20:43:31.624202Z", + "iopub.status.idle": "2024-08-16T20:43:31.636898Z", + "shell.execute_reply": "2024-08-16T20:43:31.636372Z" + } + }, "outputs": [ { "data": { @@ -8301,21 +8801,21 @@ " pH\n", " Salinity\n", " ...\n", - " QA_Carbon\n", - " QA_Conductivity\n", - " QA_Secchi\n", - " QA_Salinity\n", + " QA_Turbidity\n", + " QA_Fecal_Coliform\n", + " QA_Temperature\n", " QA_Chlorophyll\n", + " QA_pH\n", " QA_E_coli\n", + " QA_TP_Phosphorus\n", + " QA_TDP_Phosphorus\n", + " QA_Other_Phosphorus\n", " QA_Nitrogen\n", - " QA_Fecal_Coliform\n", - " QA_pH\n", - " QA_Temperature\n", " \n", " \n", " \n", " \n", - " 123204\n", + " 129171\n", " 21AWIC\n", " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", " 21AWIC-51908_230231_173\n", @@ -8339,7 +8839,7 @@ " NaN\n", " \n", " \n", - " 126411\n", + " 132518\n", " 21AWIC\n", " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", " 21AWIC-51908_230230_173\n", @@ -8363,7 +8863,7 @@ " NaN\n", " \n", " \n", - " 119986\n", + " 125816\n", " 21AWIC\n", " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", " 21AWIC-51908_230228_173\n", @@ -8387,7 +8887,7 @@ " NaN\n", " \n", " \n", - " 125189\n", + " 131249\n", " 21AWIC\n", " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", " 21AWIC-51908_230229_173\n", @@ -8411,7 +8911,7 @@ " NaN\n", " \n", " \n", - " 119414\n", + " 125215\n", " 21AWIC\n", " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", " 21AWIC-51908_230227_173\n", @@ -8441,46 +8941,46 @@ ], "text/plain": [ " OrganizationIdentifier \\\n", - "123204 21AWIC \n", - "126411 21AWIC \n", - "119986 21AWIC \n", - "125189 21AWIC \n", - "119414 21AWIC \n", + "129171 21AWIC \n", + "132518 21AWIC \n", + "125816 21AWIC \n", + "131249 21AWIC \n", + "125215 21AWIC \n", "\n", " OrganizationFormalName \\\n", - "123204 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", - "126411 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", - "119986 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", - "125189 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", - "119414 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", + "129171 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", + "132518 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", + "125816 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", + "131249 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", + "125215 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", "\n", " ActivityIdentifier MonitoringLocationIdentifier ProviderName \\\n", - "123204 21AWIC-51908_230231_173 21AWIC-1122 STORET \n", - "126411 21AWIC-51908_230230_173 21AWIC-1122 STORET \n", - "119986 21AWIC-51908_230228_173 21AWIC-1122 STORET \n", - "125189 21AWIC-51908_230229_173 21AWIC-1122 STORET \n", - "119414 21AWIC-51908_230227_173 21AWIC-1122 STORET \n", - "\n", - " Secchi Temperature DO pH Salinity ... QA_Carbon \\\n", - "123204 NaN NaN NaN NaN 36.356 dimensionless ... NaN \n", - "126411 NaN NaN NaN NaN 36.345 dimensionless ... NaN \n", - "119986 NaN NaN NaN NaN 36.338 dimensionless ... NaN \n", - "125189 NaN NaN NaN NaN 36.336 dimensionless ... NaN \n", - "119414 NaN NaN NaN NaN 36.33 dimensionless ... NaN \n", - "\n", - " QA_Conductivity QA_Secchi QA_Salinity QA_Chlorophyll QA_E_coli \\\n", - "123204 NaN NaN NaN NaN NaN \n", - "126411 NaN NaN NaN NaN NaN \n", - "119986 NaN NaN NaN NaN NaN \n", - "125189 NaN NaN NaN NaN NaN \n", - "119414 NaN NaN NaN NaN NaN \n", - "\n", - " QA_Nitrogen QA_Fecal_Coliform QA_pH QA_Temperature \n", - "123204 NaN NaN NaN NaN \n", - "126411 NaN NaN NaN NaN \n", - "119986 NaN NaN NaN NaN \n", - "125189 NaN NaN NaN NaN \n", - "119414 NaN NaN NaN NaN \n", + "129171 21AWIC-51908_230231_173 21AWIC-1122 STORET \n", + "132518 21AWIC-51908_230230_173 21AWIC-1122 STORET \n", + "125816 21AWIC-51908_230228_173 21AWIC-1122 STORET \n", + "131249 21AWIC-51908_230229_173 21AWIC-1122 STORET \n", + "125215 21AWIC-51908_230227_173 21AWIC-1122 STORET \n", + "\n", + " Secchi Temperature DO pH Salinity ... QA_Turbidity \\\n", + "129171 NaN NaN NaN NaN 36.356 dimensionless ... NaN \n", + "132518 NaN NaN NaN NaN 36.345 dimensionless ... NaN \n", + "125816 NaN NaN NaN NaN 36.338 dimensionless ... NaN \n", + "131249 NaN NaN NaN NaN 36.336 dimensionless ... NaN \n", + "125215 NaN NaN NaN NaN 36.33 dimensionless ... NaN \n", + "\n", + " QA_Fecal_Coliform QA_Temperature QA_Chlorophyll QA_pH QA_E_coli \\\n", + "129171 NaN NaN NaN NaN NaN \n", + "132518 NaN NaN NaN NaN NaN \n", + "125816 NaN NaN NaN NaN NaN \n", + "131249 NaN NaN NaN NaN NaN \n", + "125215 NaN NaN NaN NaN NaN \n", + "\n", + " QA_TP_Phosphorus QA_TDP_Phosphorus QA_Other_Phosphorus QA_Nitrogen \n", + "129171 NaN NaN NaN NaN \n", + "132518 NaN NaN NaN NaN \n", + "125816 NaN NaN NaN NaN \n", + "131249 NaN NaN NaN NaN \n", + "125215 NaN NaN NaN NaN \n", "\n", "[5 rows x 44 columns]" ] @@ -8498,20 +8998,27 @@ { "cell_type": "code", "execution_count": 94, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:31.639144Z", + "iopub.status.busy": "2024-08-16T20:43:31.638815Z", + "iopub.status.idle": "2024-08-16T20:43:33.404933Z", + "shell.execute_reply": "2024-08-16T20:43:33.404330Z" + } + }, "outputs": [ { "data": { "text/plain": [ "['Sediment',\n", - " 'QA_TP_Phosphorus',\n", - " 'QA_TDP_Phosphorus',\n", - " 'QA_Other_Phosphorus',\n", - " 'QA_Carbon',\n", " 'QA_Conductivity',\n", + " 'QA_Carbon',\n", " 'QA_Secchi',\n", + " 'QA_Fecal_Coliform',\n", " 'QA_E_coli',\n", - " 'QA_Fecal_Coliform']" + " 'QA_TP_Phosphorus',\n", + " 'QA_TDP_Phosphorus',\n", + " 'QA_Other_Phosphorus']" ] }, "execution_count": 94, @@ -8529,7 +9036,14 @@ { "cell_type": "code", "execution_count": 95, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:33.407286Z", + "iopub.status.busy": "2024-08-16T20:43:33.407100Z", + "iopub.status.idle": "2024-08-16T20:43:33.812470Z", + "shell.execute_reply": "2024-08-16T20:43:33.811965Z" + } + }, "outputs": [ { "data": { @@ -8543,7 +9057,7 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -8579,7 +9093,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.12.4" } }, "nbformat": 4, diff --git a/demos/Harmonize_Pensacola_Simple.ipynb b/demos/Harmonize_Pensacola_Simple.ipynb index 41faaa2..c70e3d3 100644 --- a/demos/Harmonize_Pensacola_Simple.ipynb +++ b/demos/Harmonize_Pensacola_Simple.ipynb @@ -53,7 +53,14 @@ { "cell_type": "code", "execution_count": 1, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:37.027399Z", + "iopub.status.busy": "2024-08-16T20:43:37.026938Z", + "iopub.status.idle": "2024-08-16T20:43:37.030414Z", + "shell.execute_reply": "2024-08-16T20:43:37.029994Z" + } + }, "outputs": [], "source": [ "import sys\n", @@ -74,8 +81,24 @@ { "cell_type": "code", "execution_count": 2, - "metadata": {}, - "outputs": [], + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:37.032791Z", + "iopub.status.busy": "2024-08-16T20:43:37.032374Z", + "iopub.status.idle": "2024-08-16T20:43:37.748582Z", + "shell.execute_reply": "2024-08-16T20:43:37.747937Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/dataretrieval/nadp.py:44: UserWarning: GDAL not installed. Some functions will not work.\n", + " warnings.warn('GDAL not installed. Some functions will not work.')\n" + ] + } + ], "source": [ "import dataretrieval.wqp as wqp\n", "from harmonize_wq import wrangle" @@ -84,7 +107,14 @@ { "cell_type": "code", "execution_count": 3, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:37.751248Z", + "iopub.status.busy": "2024-08-16T20:43:37.750960Z", + "iopub.status.idle": "2024-08-16T20:43:37.753968Z", + "shell.execute_reply": "2024-08-16T20:43:37.753420Z" + } + }, "outputs": [], "source": [ "# Read geometry for Area of Interest from geojson file url\n", @@ -95,7 +125,14 @@ { "cell_type": "code", "execution_count": 4, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:37.755994Z", + "iopub.status.busy": "2024-08-16T20:43:37.755808Z", + "iopub.status.idle": "2024-08-16T20:43:38.360722Z", + "shell.execute_reply": "2024-08-16T20:43:38.360147Z" + } + }, "outputs": [ { "data": { @@ -109,7 +146,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -126,7 +163,14 @@ { "cell_type": "code", "execution_count": 5, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:38.363197Z", + "iopub.status.busy": "2024-08-16T20:43:38.362723Z", + "iopub.status.idle": "2024-08-16T20:43:38.424568Z", + "shell.execute_reply": "2024-08-16T20:43:38.424074Z" + } + }, "outputs": [], "source": [ "# Build query\n", @@ -140,13 +184,20 @@ { "cell_type": "code", "execution_count": 6, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:38.426906Z", + "iopub.status.busy": "2024-08-16T20:43:38.426713Z", + "iopub.status.idle": "2024-08-16T20:43:39.065428Z", + "shell.execute_reply": "2024-08-16T20:43:39.064741Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\dataretrieval\\wqp.py:83: DtypeWarning: Columns (9,13,17,23,31,61,62,71) have mixed types. Specify dtype option on import or set low_memory=False.\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/dataretrieval/wqp.py:83: DtypeWarning: Columns (9,13,17,23,31,61,62,71) have mixed types. Specify dtype option on import or set low_memory=False.\n", " df = pd.read_csv(StringIO(response.text), delimiter=',')\n" ] }, @@ -340,16 +391,16 @@ " ...\n", " \n", " \n", - " 87526\n", - " 21FLPNS_WQX\n", - " FL Dept. of Environmental Protection, Northwes...\n", - " 21FLPNS_WQX-G5NW0007-10/05/23-FP1\n", - " 2023-10-05\n", - " 12:40:00\n", - " EST\n", - " 21FLPNS_WQX-G5NW0007\n", - " STORET-993431665\n", - " NaN\n", + " 93552\n", + " 21AWIC\n", + " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", + " 21AWIC-335642_1872425_173\n", + " 2024-03-06\n", + " 07:45:00\n", + " CDT\n", + " 21AWIC-1208\n", + " STORET-1039185481\n", + " 1872425.0\n", " NaN\n", " ...\n", " NaN\n", @@ -364,15 +415,15 @@ " STORET\n", " \n", " \n", - " 87527\n", - " 21FLPNS_WQX\n", - " FL Dept. of Environmental Protection, Northwes...\n", - " 21FLPNS_WQX-G5NW0007-10/05/23-FP2\n", - " 2023-10-05\n", - " 12:40:00\n", - " EST\n", - " 21FLPNS_WQX-G5NW0007\n", - " STORET-993427061\n", + " 93553\n", + " 21AWIC\n", + " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", + " 21AWIC-335677_1872576_173\n", + " 2024-03-07\n", + " 09:00:00\n", + " CDT\n", + " 21AWIC-8594\n", + " STORET-1039185625\n", " NaN\n", " NaN\n", " ...\n", @@ -388,16 +439,16 @@ " STORET\n", " \n", " \n", - " 87528\n", - " 21FLPNS_WQX\n", - " FL Dept. of Environmental Protection, Northwes...\n", - " 21FLPNS_WQX-G5NW0035-10/05/23-FP1\n", - " 2023-10-05\n", - " 13:10:00\n", - " EST\n", - " 21FLPNS_WQX-G5NW0035\n", - " STORET-993418970\n", - " NaN\n", + " 93554\n", + " 21AWIC\n", + " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", + " 21AWIC-335787_1872992_173\n", + " 2024-03-12\n", + " 09:55:00\n", + " CDT\n", + " 21AWIC-9630\n", + " STORET-1039185899\n", + " 1872992.0\n", " NaN\n", " ...\n", " NaN\n", @@ -412,16 +463,16 @@ " STORET\n", " \n", " \n", - " 87529\n", - " 21FLPNS_WQX\n", - " FL Dept. of Environmental Protection, Northwes...\n", - " 21FLPNS_WQX-G4NW0508-10/17/23-FP2\n", - " 2023-10-17\n", - " 11:55:00\n", - " EST\n", - " 21FLPNS_WQX-G4NW0508\n", - " STORET-993431681\n", - " NaN\n", + " 93555\n", + " 21AWIC\n", + " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", + " 21AWIC-335728_1874875_173\n", + " 2024-03-06\n", + " 11:30:00\n", + " CDT\n", + " 21AWIC-1152\n", + " STORET-1039189340\n", + " 1874875.0\n", " NaN\n", " ...\n", " NaN\n", @@ -436,16 +487,16 @@ " STORET\n", " \n", " \n", - " 87530\n", + " 93556\n", " 21AWIC\n", " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", - " 21AWIC-333164_1852026_173\n", - " 2023-10-04\n", - " 10:30:00\n", + " 21AWIC-335780_1872963_173\n", + " 2024-03-12\n", + " 09:15:00\n", " CDT\n", - " 21AWIC-1152\n", - " STORET-998548771\n", - " 1852026.0\n", + " 21AWIC-9769\n", + " STORET-1039185811\n", + " 1872963.0\n", " NaN\n", " ...\n", " NaN\n", @@ -461,7 +512,7 @@ " \n", " \n", "\n", - "

87531 rows × 78 columns

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OF ENVIRONMENTAL MANAGEMENT - WA... \n", + "93554 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", + "93555 ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA... \n", + "93556 ALABAMA DEPT. 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AnalysisEndTime/TimeZoneCode \\\n", - "0 NaN ... NaN \n", - "1 NaN ... NaN \n", - "2 NaN ... NaN \n", - "3 NaN ... NaN \n", - "4 NaN ... NaN \n", - "... ... ... ... \n", - "87526 NaN ... NaN \n", - "87527 NaN ... NaN \n", - "87528 NaN ... NaN \n", - "87529 NaN ... NaN \n", - "87530 NaN ... NaN \n", + " AnalysisEndTime/TimeZoneCode ResultLaboratoryCommentCode \\\n", + "0 NaN NaN \n", + "1 NaN NaN \n", + "2 NaN NaN \n", + "3 NaN NaN \n", + "4 NaN NaN \n", + "... ... ... \n", + "93552 NaN NaN \n", + "93553 NaN NaN \n", + "93554 NaN NaN \n", + "93555 NaN NaN \n", + "93556 NaN NaN \n", "\n", - " ResultLaboratoryCommentCode ResultLaboratoryCommentText \\\n", - "0 NaN NaN \n", - "1 NaN NaN \n", - "2 NaN NaN \n", - "3 NaN NaN \n", - "4 NaN NaN \n", - "... ... ... \n", - "87526 NaN NaN \n", - "87527 NaN NaN \n", - "87528 NaN NaN \n", - "87529 NaN NaN \n", - "87530 NaN NaN \n", + " ResultLaboratoryCommentText ResultDetectionQuantitationLimitUrl \\\n", + "0 NaN NaN \n", + "1 NaN NaN \n", + "2 NaN NaN \n", + "3 NaN NaN \n", + "4 NaN NaN \n", + "... ... ... \n", + "93552 NaN NaN \n", + "93553 NaN NaN \n", + "93554 NaN NaN \n", + "93555 NaN NaN \n", + "93556 NaN NaN \n", "\n", - " ResultDetectionQuantitationLimitUrl LaboratoryAccreditationIndicator \\\n", - "0 NaN NaN \n", - "1 NaN NaN \n", - "2 NaN NaN \n", - "3 NaN NaN \n", - "4 NaN NaN \n", - "... ... ... \n", - "87526 NaN NaN \n", - "87527 NaN NaN \n", - "87528 NaN NaN \n", - "87529 NaN NaN \n", - "87530 NaN NaN \n", - "\n", - " LaboratoryAccreditationAuthorityName TaxonomistAccreditationIndicator \\\n", - "0 NaN NaN \n", - "1 NaN NaN \n", - "2 NaN NaN \n", - "3 NaN NaN \n", - "4 NaN NaN \n", - "... ... ... \n", - "87526 NaN NaN \n", - "87527 NaN NaN \n", - "87528 NaN NaN \n", - "87529 NaN NaN \n", - "87530 NaN NaN \n", + " LaboratoryAccreditationIndicator LaboratoryAccreditationAuthorityName \\\n", + "0 NaN NaN \n", + "1 NaN NaN \n", + "2 NaN NaN \n", + "3 NaN NaN \n", + "4 NaN NaN \n", + "... ... ... \n", + "93552 NaN NaN \n", + "93553 NaN NaN \n", + "93554 NaN NaN \n", + "93555 NaN NaN \n", + "93556 NaN NaN \n", "\n", - " TaxonomistAccreditationAuthorityName LabSamplePreparationUrl \\\n", - "0 NaN NaN \n", - "1 NaN NaN \n", - "2 NaN NaN \n", - "3 NaN NaN \n", - "4 NaN NaN \n", - "... ... ... \n", - "87526 NaN NaN \n", - "87527 NaN NaN \n", - "87528 NaN NaN \n", - "87529 NaN NaN \n", - "87530 NaN NaN \n", + " TaxonomistAccreditationIndicator TaxonomistAccreditationAuthorityName \\\n", + "0 NaN NaN \n", + "1 NaN NaN \n", + "2 NaN NaN \n", + "3 NaN NaN \n", + "4 NaN NaN \n", + "... ... ... \n", + "93552 NaN NaN \n", + "93553 NaN NaN \n", + "93554 NaN NaN \n", + "93555 NaN NaN \n", + "93556 NaN NaN \n", "\n", - " ProviderName \n", - "0 STORET \n", - "1 STORET \n", - "2 STORET \n", - "3 STORET \n", - "4 STORET \n", - "... ... \n", - "87526 STORET \n", - "87527 STORET \n", - "87528 STORET \n", - "87529 STORET \n", - "87530 STORET \n", + " LabSamplePreparationUrl ProviderName \n", + "0 NaN STORET \n", + "1 NaN STORET \n", + "2 NaN STORET \n", + "3 NaN STORET \n", + "4 NaN STORET \n", + "... ... ... \n", + "93552 NaN STORET \n", + "93553 NaN STORET \n", + "93554 NaN STORET \n", + "93555 NaN STORET \n", + "93556 NaN STORET \n", "\n", - "[87531 rows x 78 columns]" + "[93557 rows x 78 columns]" ] }, "execution_count": 6, @@ -636,7 +674,14 @@ { "cell_type": "code", "execution_count": 7, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:39.067969Z", + "iopub.status.busy": "2024-08-16T20:43:39.067605Z", + "iopub.status.idle": "2024-08-16T20:43:39.070394Z", + "shell.execute_reply": "2024-08-16T20:43:39.069890Z" + } + }, "outputs": [], "source": [ "from harmonize_wq import harmonize\n", @@ -647,19 +692,15 @@ "cell_type": "code", "execution_count": 8, "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:39.072558Z", + "iopub.status.busy": "2024-08-16T20:43:39.072220Z", + "iopub.status.idle": "2024-08-16T20:43:41.460508Z", + "shell.execute_reply": "2024-08-16T20:43:41.459857Z" + }, "hidden": true }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" - ] - }, { "data": { "text/html": [ @@ -850,16 +891,16 @@ " ...\n", " \n", " \n", - " 87526\n", - " 21FLPNS_WQX\n", - " FL Dept. of Environmental Protection, Northwes...\n", - " 21FLPNS_WQX-G5NW0007-10/05/23-FP1\n", - " 2023-10-05\n", - " 12:40:00\n", - " EST\n", - " 21FLPNS_WQX-G5NW0007\n", - " STORET-993431665\n", - " NaN\n", + " 93552\n", + " 21AWIC\n", + " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", + " 21AWIC-335642_1872425_173\n", + " 2024-03-06\n", + " 07:45:00\n", + " CDT\n", + " 21AWIC-1208\n", + " STORET-1039185481\n", + " 1872425.0\n", " NaN\n", " ...\n", " NaN\n", @@ -871,18 +912,18 @@ " STORET\n", " NaN\n", " NaN\n", - " 26.8 degree_Celsius\n", + " 19.3164 degree_Celsius\n", " \n", " \n", - " 87527\n", - " 21FLPNS_WQX\n", - " FL Dept. of Environmental Protection, Northwes...\n", - " 21FLPNS_WQX-G5NW0007-10/05/23-FP2\n", - " 2023-10-05\n", - " 12:40:00\n", - " EST\n", - " 21FLPNS_WQX-G5NW0007\n", - " STORET-993427061\n", + " 93553\n", + " 21AWIC\n", + " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", + " 21AWIC-335677_1872576_173\n", + " 2024-03-07\n", + " 09:00:00\n", + " CDT\n", + " 21AWIC-8594\n", + " STORET-1039185625\n", " NaN\n", " NaN\n", " ...\n", @@ -894,20 +935,20 @@ " NaN\n", " STORET\n", " NaN\n", + " 2.12 meter\n", " NaN\n", - " 27.5 degree_Celsius\n", " \n", " \n", - " 87528\n", - " 21FLPNS_WQX\n", - " FL Dept. of Environmental Protection, Northwes...\n", - " 21FLPNS_WQX-G5NW0035-10/05/23-FP1\n", - " 2023-10-05\n", - " 13:10:00\n", - " EST\n", - " 21FLPNS_WQX-G5NW0035\n", - " STORET-993418970\n", - " NaN\n", + " 93554\n", + " 21AWIC\n", + " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", + " 21AWIC-335787_1872992_173\n", + " 2024-03-12\n", + " 09:55:00\n", + " CDT\n", + " 21AWIC-9630\n", + " STORET-1039185899\n", + " 1872992.0\n", " NaN\n", " ...\n", " NaN\n", @@ -919,19 +960,19 @@ " STORET\n", " NaN\n", " NaN\n", - " 27.8 degree_Celsius\n", + " 17.6693 degree_Celsius\n", " \n", " \n", - " 87529\n", - " 21FLPNS_WQX\n", - " FL Dept. of Environmental Protection, Northwes...\n", - " 21FLPNS_WQX-G4NW0508-10/17/23-FP2\n", - " 2023-10-17\n", - " 11:55:00\n", - " EST\n", - " 21FLPNS_WQX-G4NW0508\n", - " STORET-993431681\n", - " NaN\n", + " 93555\n", + " 21AWIC\n", + " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", + " 21AWIC-335728_1874875_173\n", + " 2024-03-06\n", + " 11:30:00\n", + " CDT\n", + " 21AWIC-1152\n", + " STORET-1039189340\n", + " 1874875.0\n", " NaN\n", " ...\n", " NaN\n", @@ -943,19 +984,19 @@ " STORET\n", " NaN\n", " NaN\n", - " 24.5 degree_Celsius\n", + " 18.08 degree_Celsius\n", " \n", " \n", - " 87530\n", + " 93556\n", " 21AWIC\n", " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", - " 21AWIC-333164_1852026_173\n", - " 2023-10-04\n", - " 10:30:00\n", + " 21AWIC-335780_1872963_173\n", + " 2024-03-12\n", + " 09:15:00\n", " CDT\n", - " 21AWIC-1152\n", - " STORET-998548771\n", - " 1852026.0\n", + " 21AWIC-9769\n", + " STORET-1039185811\n", + " 1872963.0\n", " NaN\n", " ...\n", " NaN\n", @@ -967,11 +1008,11 @@ " STORET\n", " NaN\n", " NaN\n", - " 19.94 degree_Celsius\n", + " 16.5857 degree_Celsius\n", " \n", " \n", "\n", - "

87531 rows × 81 columns

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93557 rows × 81 columns

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ResultDetectionQuantitationLimitUrl \\\n", - "0 NaN ... NaN \n", - "1 NaN ... NaN \n", - "2 NaN ... NaN \n", - "3 NaN ... NaN \n", - "4 NaN ... NaN \n", - "... ... ... ... \n", - "87526 NaN ... NaN \n", - "87527 NaN ... NaN \n", - "87528 NaN ... NaN \n", - "87529 NaN ... NaN \n", - "87530 NaN ... NaN \n", + " ResultDetectionQuantitationLimitUrl LaboratoryAccreditationIndicator \\\n", + "0 NaN NaN \n", + "1 NaN NaN \n", + "2 NaN NaN \n", + "3 NaN NaN \n", + "4 NaN NaN \n", + "... ... ... \n", + "93552 NaN NaN \n", + "93553 NaN NaN \n", + "93554 NaN NaN \n", + "93555 NaN NaN \n", + "93556 NaN NaN \n", "\n", - " LaboratoryAccreditationIndicator LaboratoryAccreditationAuthorityName \\\n", - "0 NaN NaN \n", - "1 NaN NaN \n", - "2 NaN NaN \n", - "3 NaN NaN \n", - "4 NaN NaN \n", - "... ... ... \n", - "87526 NaN NaN \n", - "87527 NaN NaN \n", - "87528 NaN NaN \n", - "87529 NaN NaN \n", - "87530 NaN NaN \n", + " LaboratoryAccreditationAuthorityName TaxonomistAccreditationIndicator \\\n", + "0 NaN NaN \n", + "1 NaN NaN \n", + "2 NaN NaN \n", + "3 NaN NaN \n", + "4 NaN NaN \n", + "... ... ... \n", + "93552 NaN NaN \n", + "93553 NaN NaN \n", + "93554 NaN NaN \n", + "93555 NaN NaN \n", + "93556 NaN NaN \n", "\n", - " TaxonomistAccreditationIndicator TaxonomistAccreditationAuthorityName \\\n", - "0 NaN NaN \n", - "1 NaN NaN \n", - "2 NaN NaN \n", - "3 NaN NaN \n", - "4 NaN NaN \n", - "... ... ... \n", - "87526 NaN NaN \n", - "87527 NaN NaN \n", - "87528 NaN NaN \n", - "87529 NaN NaN \n", - "87530 NaN NaN \n", - "\n", - " LabSamplePreparationUrl ProviderName QA_flag Secchi \\\n", - "0 NaN STORET NaN NaN \n", - "1 NaN STORET NaN NaN \n", - "2 NaN STORET NaN NaN \n", - "3 NaN STORET NaN NaN \n", - "4 NaN STORET NaN NaN \n", - "... ... ... ... ... \n", - "87526 NaN STORET NaN NaN \n", - "87527 NaN STORET NaN NaN \n", - "87528 NaN STORET NaN NaN \n", - "87529 NaN STORET NaN NaN \n", - "87530 NaN STORET NaN NaN \n", + " TaxonomistAccreditationAuthorityName LabSamplePreparationUrl \\\n", + "0 NaN NaN \n", + "1 NaN NaN \n", + "2 NaN NaN \n", + "3 NaN NaN \n", + "4 NaN NaN \n", + "... ... ... \n", + "93552 NaN NaN \n", + "93553 NaN NaN \n", + "93554 NaN NaN \n", + "93555 NaN NaN \n", + "93556 NaN NaN \n", "\n", - " Temperature \n", - "0 26.0555555555556 degree_Celsius \n", - "1 23.12 degree_Celsius \n", - "2 16.43 degree_Celsius \n", - "3 29.78 degree_Celsius \n", - "4 26.72 degree_Celsius \n", - "... ... \n", - "87526 26.8 degree_Celsius \n", - "87527 27.5 degree_Celsius \n", - "87528 27.8 degree_Celsius \n", - "87529 24.5 degree_Celsius \n", - "87530 19.94 degree_Celsius \n", + " ProviderName QA_flag Secchi Temperature \n", + "0 STORET NaN NaN 26.0555555555556 degree_Celsius \n", + "1 STORET NaN NaN 23.12 degree_Celsius \n", + "2 STORET NaN NaN 16.43 degree_Celsius \n", + "3 STORET NaN NaN 29.78 degree_Celsius \n", + "4 STORET NaN NaN 26.72 degree_Celsius \n", + "... ... ... ... ... \n", + "93552 STORET NaN NaN 19.3164 degree_Celsius \n", + "93553 STORET NaN 2.12 meter NaN \n", + "93554 STORET NaN NaN 17.6693 degree_Celsius \n", + "93555 STORET NaN NaN 18.08 degree_Celsius \n", + "93556 STORET NaN NaN 16.5857 degree_Celsius \n", "\n", - "[87531 rows x 81 columns]" + "[93557 rows x 81 columns]" ] }, "execution_count": 8, @@ -1122,16 +1150,21 @@ { "cell_type": "code", "execution_count": 9, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:41.462936Z", + "iopub.status.busy": "2024-08-16T20:43:41.462537Z", + "iopub.status.idle": "2024-08-16T20:43:42.626017Z", + "shell.execute_reply": "2024-08-16T20:43:42.625360Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\dataretrieval\\utils.py:87: UserWarning: Warning: 9056 incomplete dates found, consider setting datetime_index to False.\n", - " warnings.warn(\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/dataretrieval/utils.py:87: UserWarning: Warning: 9057 incomplete dates found, consider setting datetime_index to False.\n", + " warnings.warn(\n" ] }, { @@ -1324,16 +1357,16 @@ " ...\n", " \n", " \n", - " 87526\n", - " 21FLPNS_WQX\n", - " FL Dept. of Environmental Protection, Northwes...\n", - " 21FLPNS_WQX-G5NW0007-10/05/23-FP1\n", - " 2023-10-05\n", - " 12:40:00\n", + " 93552\n", + " 21AWIC\n", + " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", + " 21AWIC-335642_1872425_173\n", + " 2024-03-06\n", + " 07:45:00\n", " -0500\n", - " 21FLPNS_WQX-G5NW0007\n", - " STORET-993431665\n", - " NaN\n", + " 21AWIC-1208\n", + " STORET-1039185481\n", + " 1872425.0\n", " NaN\n", " ...\n", " NaN\n", @@ -1343,20 +1376,20 @@ " STORET\n", " NaN\n", " NaN\n", - " 26.8 degree_Celsius\n", - " 2023-10-05 17:40:00+00:00\n", + " 19.3164 degree_Celsius\n", + " 2024-03-06 12:45:00+00:00\n", " NaN\n", " \n", " \n", - " 87527\n", - " 21FLPNS_WQX\n", - " FL Dept. of Environmental Protection, Northwes...\n", - " 21FLPNS_WQX-G5NW0007-10/05/23-FP2\n", - " 2023-10-05\n", - " 12:40:00\n", + " 93553\n", + " 21AWIC\n", + " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", + " 21AWIC-335677_1872576_173\n", + " 2024-03-07\n", + " 09:00:00\n", " -0500\n", - " 21FLPNS_WQX-G5NW0007\n", - " STORET-993427061\n", + " 21AWIC-8594\n", + " STORET-1039185625\n", " NaN\n", " NaN\n", " ...\n", @@ -1366,22 +1399,22 @@ " NaN\n", " STORET\n", " NaN\n", + " 2.12 meter\n", " NaN\n", - " 27.5 degree_Celsius\n", - " 2023-10-05 17:40:00+00:00\n", + " 2024-03-07 14:00:00+00:00\n", " NaN\n", " \n", " \n", - " 87528\n", - " 21FLPNS_WQX\n", - " FL Dept. of Environmental Protection, Northwes...\n", - " 21FLPNS_WQX-G5NW0035-10/05/23-FP1\n", - " 2023-10-05\n", - " 13:10:00\n", + " 93554\n", + " 21AWIC\n", + " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", + " 21AWIC-335787_1872992_173\n", + " 2024-03-12\n", + " 09:55:00\n", " -0500\n", - " 21FLPNS_WQX-G5NW0035\n", - " STORET-993418970\n", - " NaN\n", + " 21AWIC-9630\n", + " STORET-1039185899\n", + " 1872992.0\n", " NaN\n", " ...\n", " NaN\n", @@ -1391,21 +1424,21 @@ " STORET\n", " NaN\n", " NaN\n", - " 27.8 degree_Celsius\n", - " 2023-10-05 18:10:00+00:00\n", + " 17.6693 degree_Celsius\n", + " 2024-03-12 14:55:00+00:00\n", " NaN\n", " \n", " \n", - " 87529\n", - " 21FLPNS_WQX\n", - " FL Dept. of Environmental Protection, Northwes...\n", - " 21FLPNS_WQX-G4NW0508-10/17/23-FP2\n", - " 2023-10-17\n", - " 11:55:00\n", + " 93555\n", + " 21AWIC\n", + " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", + " 21AWIC-335728_1874875_173\n", + " 2024-03-06\n", + " 11:30:00\n", " -0500\n", - " 21FLPNS_WQX-G4NW0508\n", - " STORET-993431681\n", - " NaN\n", + " 21AWIC-1152\n", + " STORET-1039189340\n", + " 1874875.0\n", " NaN\n", " ...\n", " NaN\n", @@ -1415,21 +1448,21 @@ " STORET\n", " NaN\n", " NaN\n", - " 24.5 degree_Celsius\n", - " 2023-10-17 16:55:00+00:00\n", + " 18.08 degree_Celsius\n", + " 2024-03-06 16:30:00+00:00\n", " NaN\n", " \n", " \n", - " 87530\n", + " 93556\n", " 21AWIC\n", " ALABAMA DEPT. OF ENVIRONMENTAL MANAGEMENT - WA...\n", - " 21AWIC-333164_1852026_173\n", - " 2023-10-04\n", - " 10:30:00\n", + " 21AWIC-335780_1872963_173\n", + " 2024-03-12\n", + " 09:15:00\n", " -0500\n", - " 21AWIC-1152\n", - " STORET-998548771\n", - " 1852026.0\n", + " 21AWIC-9769\n", + " STORET-1039185811\n", + " 1872963.0\n", " NaN\n", " ...\n", " NaN\n", @@ -1439,13 +1472,13 @@ " STORET\n", " NaN\n", " NaN\n", - " 19.94 degree_Celsius\n", - " 2023-10-04 15:30:00+00:00\n", + " 16.5857 degree_Celsius\n", + " 2024-03-12 14:15:00+00:00\n", " NaN\n", " \n", " \n", "\n", - "

87531 rows × 83 columns

\n", + "

93557 rows × 83 columns

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LaboratoryAccreditationAuthorityName \\\n", - "0 NaN ... NaN \n", - "1 NaN ... NaN \n", - "2 NaN ... NaN \n", - "3 NaN ... NaN \n", - "4 NaN ... NaN \n", - "... ... ... ... \n", - "87526 NaN ... NaN \n", - "87527 NaN ... NaN \n", - "87528 NaN ... NaN \n", - "87529 NaN ... NaN \n", - "87530 NaN ... NaN \n", + " LaboratoryAccreditationAuthorityName TaxonomistAccreditationIndicator \\\n", + "0 NaN NaN \n", + "1 NaN NaN \n", + "2 NaN NaN \n", + "3 NaN NaN \n", + "4 NaN NaN \n", + "... ... ... \n", + "93552 NaN NaN \n", + "93553 NaN NaN \n", + "93554 NaN NaN \n", + "93555 NaN NaN \n", + "93556 NaN NaN \n", "\n", - " TaxonomistAccreditationIndicator TaxonomistAccreditationAuthorityName \\\n", - "0 NaN NaN \n", - "1 NaN NaN \n", - "2 NaN NaN \n", - "3 NaN NaN \n", - "4 NaN NaN \n", - "... ... ... \n", - "87526 NaN NaN \n", - "87527 NaN NaN \n", - "87528 NaN NaN \n", - "87529 NaN NaN \n", - "87530 NaN NaN \n", + " TaxonomistAccreditationAuthorityName LabSamplePreparationUrl \\\n", + "0 NaN NaN \n", + "1 NaN NaN \n", + "2 NaN NaN \n", + "3 NaN NaN \n", + "4 NaN NaN \n", + "... ... ... \n", + "93552 NaN NaN \n", + "93553 NaN NaN \n", + "93554 NaN NaN \n", + "93555 NaN NaN \n", + "93556 NaN NaN \n", "\n", - " LabSamplePreparationUrl ProviderName QA_flag Secchi \\\n", - "0 NaN STORET NaN NaN \n", - "1 NaN STORET NaN NaN \n", - "2 NaN STORET NaN NaN \n", - "3 NaN STORET NaN NaN \n", - "4 NaN STORET NaN NaN \n", - "... ... ... ... ... \n", - "87526 NaN STORET NaN NaN \n", - "87527 NaN STORET NaN NaN \n", - "87528 NaN STORET NaN NaN \n", - "87529 NaN STORET NaN NaN \n", - "87530 NaN STORET NaN NaN \n", + " ProviderName QA_flag Secchi Temperature \\\n", + "0 STORET NaN NaN 26.0555555555556 degree_Celsius \n", + "1 STORET NaN NaN 23.12 degree_Celsius \n", + "2 STORET NaN NaN 16.43 degree_Celsius \n", + "3 STORET NaN NaN 29.78 degree_Celsius \n", + "4 STORET NaN NaN 26.72 degree_Celsius \n", + "... ... ... ... ... \n", + "93552 STORET NaN NaN 19.3164 degree_Celsius \n", + "93553 STORET NaN 2.12 meter NaN \n", + "93554 STORET NaN NaN 17.6693 degree_Celsius \n", + "93555 STORET NaN NaN 18.08 degree_Celsius \n", + "93556 STORET NaN NaN 16.5857 degree_Celsius \n", "\n", - " Temperature Activity_datetime Depth \n", - "0 26.0555555555556 degree_Celsius 2013-09-23 23:15:00+00:00 NaN \n", - "1 23.12 degree_Celsius 2013-07-23 16:01:00+00:00 NaN \n", - "2 16.43 degree_Celsius 2013-09-30 16:01:00+00:00 NaN \n", - "3 29.78 degree_Celsius 2013-07-30 14:01:00+00:00 NaN \n", - "4 26.72 degree_Celsius 2013-07-16 14:01:00+00:00 NaN \n", - "... ... ... ... \n", - "87526 26.8 degree_Celsius 2023-10-05 17:40:00+00:00 NaN \n", - "87527 27.5 degree_Celsius 2023-10-05 17:40:00+00:00 NaN \n", - "87528 27.8 degree_Celsius 2023-10-05 18:10:00+00:00 NaN \n", - "87529 24.5 degree_Celsius 2023-10-17 16:55:00+00:00 NaN \n", - "87530 19.94 degree_Celsius 2023-10-04 15:30:00+00:00 NaN \n", + " Activity_datetime Depth \n", + "0 2013-09-23 23:15:00+00:00 NaN \n", + "1 2013-07-23 16:01:00+00:00 NaN \n", + "2 2013-09-30 16:01:00+00:00 NaN \n", + "3 2013-07-30 14:01:00+00:00 NaN \n", + "4 2013-07-16 14:01:00+00:00 NaN \n", + "... ... ... \n", + "93552 2024-03-06 12:45:00+00:00 NaN \n", + "93553 2024-03-07 14:00:00+00:00 NaN \n", + "93554 2024-03-12 14:55:00+00:00 NaN \n", + "93555 2024-03-06 16:30:00+00:00 NaN \n", + "93556 2024-03-12 14:15:00+00:00 NaN \n", "\n", - "[87531 rows x 83 columns]" + "[93557 rows x 83 columns]" ] }, "execution_count": 9, @@ -1603,6 +1636,12 @@ "cell_type": "code", "execution_count": 10, "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:42.628670Z", + "iopub.status.busy": "2024-08-16T20:43:42.628285Z", + "iopub.status.idle": "2024-08-16T20:43:51.332931Z", + "shell.execute_reply": "2024-08-16T20:43:51.332389Z" + }, "hidden": true }, "outputs": [ @@ -1657,6 +1696,12 @@ "cell_type": "code", "execution_count": 11, "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:51.335427Z", + "iopub.status.busy": "2024-08-16T20:43:51.335049Z", + "iopub.status.idle": "2024-08-16T20:43:51.584967Z", + "shell.execute_reply": "2024-08-16T20:43:51.584377Z" + }, "hidden": true }, "outputs": [], @@ -1672,6 +1717,12 @@ "cell_type": "code", "execution_count": 12, "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:51.587570Z", + "iopub.status.busy": "2024-08-16T20:43:51.587190Z", + "iopub.status.idle": "2024-08-16T20:43:51.931679Z", + "shell.execute_reply": "2024-08-16T20:43:51.931061Z" + }, "hidden": true }, "outputs": [ @@ -1687,7 +1738,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -1723,7 +1774,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.12.4" } }, "nbformat": 4, diff --git a/demos/Harmonize_Tampa_Detailed.ipynb b/demos/Harmonize_Tampa_Detailed.ipynb index 4890a28..dcb63f9 100644 --- a/demos/Harmonize_Tampa_Detailed.ipynb +++ b/demos/Harmonize_Tampa_Detailed.ipynb @@ -52,7 +52,14 @@ { "cell_type": "code", "execution_count": 1, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:54.518736Z", + "iopub.status.busy": "2024-08-16T20:43:54.518277Z", + "iopub.status.idle": "2024-08-16T20:43:54.521857Z", + "shell.execute_reply": "2024-08-16T20:43:54.521386Z" + } + }, "outputs": [], "source": [ "import sys\n", @@ -66,8 +73,24 @@ { "cell_type": "code", "execution_count": 2, - "metadata": {}, - "outputs": [], + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:54.524122Z", + "iopub.status.busy": "2024-08-16T20:43:54.523775Z", + "iopub.status.idle": "2024-08-16T20:43:55.253602Z", + "shell.execute_reply": "2024-08-16T20:43:55.252981Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/dataretrieval/nadp.py:44: UserWarning: GDAL not installed. Some functions will not work.\n", + " warnings.warn('GDAL not installed. Some functions will not work.')\n" + ] + } + ], "source": [ "import dataretrieval.wqp as wqp\n", "from harmonize_wq import wrangle\n", @@ -87,7 +110,14 @@ { "cell_type": "code", "execution_count": 3, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:55.256306Z", + "iopub.status.busy": "2024-08-16T20:43:55.256019Z", + "iopub.status.idle": "2024-08-16T20:43:56.751592Z", + "shell.execute_reply": "2024-08-16T20:43:56.750833Z" + } + }, "outputs": [ { "data": { @@ -101,7 +131,7 @@ }, { "data": { - "image/png": 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KiIhAJpNRWdn6j7uyspLo6LZHO5VKhUqlavPz/s7xmib+9GlWh9u7veeXcGljTjUXDI3k0lE/fqd3vLmbR68YwaSksIDn7Cio5XhNE6NijcikErRKGQ3NbqKMA1/8cpnU7xEJsDGnKujE36k5jyAILF++nDVr1rBhwwZSUlr7jDc3t+Sfk0pbdyuTyfD5AruxKpVKJk2axHfffec/5vP5+O6775g+fXpnzBsweH0Cv//wIE0BMvn0FBnJoTz5ZTb7iuqxNLt59ttc7piZzPDotheFnB4vqWY94xJCmJQUygVDI5FJJZyobfLvKAwWVPLgm/536o6XLVvGu+++y6pVqzAYDFRUVFBRUYHd3rIQlZ6eTlpaGj//+c/ZtWsXBQUFPPPMM6xbt47Fixf7+7n44ov9K/sADzzwAK+++ipvvfUWR44c4Ze//CVNTU3ccccd3XOX/QyZVNLr1Xx3HKuluM7Oza/uZGNuFZOSw5g2JBydsu1RvLrRRYXFztHKRv+xkno7pfV25IMob2CwJk3t1LT/xRdfBDhr5f6NN95g6dKlKBQKvvrqKx566CGuvPJKGhsbSUtL46233uKyyy7zty8oKKCm5scUVTfccAPV1dX86U9/oqKigvHjx7N27dqzFgEHAzaHm0qrkxO1vfsHV2lt8RFwuH3c/34mFwyNINakYUy8iUtHRZNVasGglmN3e3F5fIyIMWJ3eUiNMzE06sfFQblUgmsQpQgra7BzuMzKgi4uqA5kxOy9vYjN4ea213eRXWbF2UY0X2+SGqnj+RsnkFVqQSmXsi2/hl/PG0aYTsnhMis6lYxRsaZW55zyMhwZYxzwK+WCILBqVxG3TE3qa1O6jc7oQAzp7QVO1DZR0+jkvV3F7C9q6Gtz/BRUN7Ho39u4blI8D16azsLRMWiUMj7aW8KhUgsmjeIs8avkMqpsDrLKWvwqwnXKVklHBhJfZ1VwxZjYvjajzxDF34MU1zVTXN/MptxqhkcZ+HBv28k7+gqfAGuzKrgoPYqLR5j57w8nSIvUc/WEOGoaz3YnVsqlWOxuUiJ0xIcOTNFDy+p+QqgWk1bR16b0GaL4e4hqm5NbXvuBcoudqyfE8dG+/if8U1gdHu59bx/zR0YzMtbIiFgjUqkk4NaXy+PD4xWw2j00aT3oAoQZe30CLo8PzTkWE/uSo5U2bE4Pc9ODO9GJKP4ewOnx8vjnh5mQGMI0eRhRRvU5nXn6A26vwPcFNZi0Ct7eXsjoOBNapRyjRo5KLiM2RI1SJsWgllNc10yYTsmwqMBego0OD8dqGpmQGNrLd9Ex9hXVs2TywHII6wlE8XczTU4Pq3cXc+GwSK6dGI9UKsHu8vLipoK+Nq1dGprdrPqhqM3PpRJIjdTz+KJRhOmVARf8XB4fm/JaCpOOTwhBIulfW4I7Cmq5YGhkv7OrLxBX+3sYn0/g3tX7+T6/Bqfbh32AO8cMidBhd3uxOTxcMjKKS0e1bMfGmDQkhWspqbdjtbvRKGUY1IoOxxD0BtuO1hAXqiElQtfXpvQY4mp/PyK73MqXB8u5ZkIcj181ihtf2cnhsv4bgRhrUqNVyYkP1VDWYMftFfD6BJpdXmoanRw7LRX4mv2lrNlfikQCoVoljy8ahVwqwaBWUFTXzMTEUBqdHhSyllHW56PP1gFsDje5lTZmDY3ok+v3R0Tx9zA+QSBcp+Sns1I4XGbF1w/mWUq5lEi9itnDIjEbVCSGafEJAk1OD/XNbgprm3B5fOhVcuxuHxIgQq9kclIoAgI+ATbnVfszDwsC1De72JBTxcLR0YRoFWiUUrYercGkURCiVRBpUFFc18zFI/rGccvu9hJlHLixID2BKP4e4lh1I59klrHqhyImJIYQqlNyw8s7es2f/9Qj7ekPdUa1nGlDwhFoidg7XGZhS6OLMoudzjz8ReiV3HdRS4j2lqM17Dpex23TkhgVa0KlkDE6zsSewpaqQl5BwKRR4PUJ5x2cdD6YDWpsDg+VVgdRQRbA0xbiM38P4Pb6yPjLesK0SqanhnPdpHj+t6eY93YVd+t1lDIpieFazAYVKRE6dCo5NocHj9eH2+tjY241FnvPxRAYVHLumJmMRCIhOULLpaOiaXR6+MuXR1ifXYlaIePKcbEMjzZgNqhwewVmD4tAq+ybMcfnE8gut5JXaeOaifHtnzAA6YwORPH3AE9+kU18qIYIg4r5I6OpsDi4+NlNXRr55FIJcaEaksN1mA0qPD4BhUyCQiZFIZNSYXFwtMpGUV1zn46sH98zg4mJobyzo5A3txeiVsjQKGRIpRIUMgk/u2AIc/pJAZGsUgs1jc5+Y093Ii749TE3Tklstcr99o7CcwozRKtgeJSBaJMamURCs8uLw+PF7fXR7PJSYXGw9Wh1v1gvCMT4hBDGxYdQ1mDnxU0FlFkcZ7U5VGJh7f2ziQ3R9IGFrRkdZ+LN749TG+ckXB+86wCi+HuA04V/oLiBj/aVkBSuJS5EQ1yIhgqrA4fbS0KYloZmN7WNTuqaXBwssQzIrcAhETrqm108/U1uQOFDixfhr9/P5InFo4kyqjFp+tatdvawSH729h6ev3HCgI1NOF/EaX830xKy66C43k5to4uC6kZK6u3UN7nILrcO2rLZcqkETwemJr+5ZBj3zE07qwhpX1Db6OSFjQXEmNQYNXIWjIoZ8L7+4jN/L4rf7fUhO7m0/sHeYv62NpfaQSrw7kApl7L2VxcwJLL/OP9AS6hyWYOdBaNj+tqU80J85u8F9hTW8ciaQ+RVNhJpUDEmzsSGnOAoMnI+uDw+Hv88mzeWZiDtB6P/Keqb3YwbJJmJO8rAzsbQR6zNKufBDw+SdzK9VbXNKQq/E2zOq+br0+oK9gdK6puJ7sD+/4acSo7XtF8Bye314fH6/MVT+yPiyN9JahqdLF+1v0PPtyJnYzaouHNWCvXN/e/RqL1gH5vDzepdxYyJM7W7buFwe5n7901YHR5mpIbzpytG9rtHHVH8neTzA2Wi8M8Dm8PD7TOSUStkeLw+JBJJv1j86wgGtYK4UA2pZn27Nrs8PqKMaix2Gydqm0kO73/BROK0v5N8e7jrxTNEWnzsL3t+K9P+7zt+/b8DNLk8fW0SAOnRRt7aXkh76996lZyQDuwIhOtVfHnfBbz0k0mUW+zkVze22VYQBH8q9MKaJh766CDXvridO97YRZW1Zet0c141D35woBN31D7iyN9JssosfW3CgOdUZOB3Ryq5c1ZKvygBNikplNgQNR/tK+W6SW27/tocHsJ1ZzsGOT1ethfU8sGeYmoaXay8fTIGtYKL0s0khmn506dZrL67pQ7FKTdjt9eHTiUnu8yKRAKbcqvZmFvFXxaPYcU1Y1i1q4jl7+3nirExrN5VzKqfTe3WexbF30E8Xh8Ndjdv3jGFf2042u8z8/R3lDIp/7llImPjTO037iViTBpSI3V8n1/DzLTAob9WuxtfgNnBr9/P5JvDlf4FPs9Jj06JRIJJo2B/UYNf9E98kU2oVsmQSB1en4DT46PR6WHeiCgeu3IkJo0CiUTCLVOTuHZiPP/87ii3z0giRNt2abWuIIq/g5Q1OCioaUQlk5ISoRPF30XMBhW3TkviinGxrPrhBH/9OocPfjEdvUreL7LrTEgM5etD5Wcdd7i9bMqtZsvRau68oHWlqg05lXx1qPXuxfojlYTrlfh8LRmSAO757z4Ka5tYflEaV4ztWNZgtULG7xakd/Fuzo0o/g4SF6rB4/Ph8QlcOiqaN74v7GuTBhTDowxcOS6GiYmhPLU2hx+O1zE6rqVgyOcHyjFpFExMCsFsUCOTSiipb8ZsUKPsgzJaO47VEnHSd2Pr0Rr2FdXz4d4Sqm3Ok7kLDa3aP7su76w+HvzwYKv3102K59qJ8UxPDe9R2zuDKP4OIggCNoeH3YV1PPnlkb42Z8CQHm0gI7mlEOgrW45hdfy4wLctv6Vq09IZyVw4LJJtR2sYEWNkdJwJp8fXJ8L/ZH8pOpWc61/awfK5aSwcE828EcO5YXICc/6+iWFRerbl1zD3ZERgVqmFrNL2MzP9ck4qqeJWX/+npL7Zn5Pe4/VR2mBHgoRt+TU8/U1uH1vX/1HJpcweFolWKeNYdRPv7Dxxzvbv7jzB2zsKCdMpee32DI5W2nq9DHh2mZVn1+URplPwt+vGsT2/hp9MSyLa1OL4c+op/4mrRjP0tJE/UG2DQBwpt/Y78YtbfQFweXw0OVtGqD0n6qm0Ornt9R8oqm3mj5eP4KNfTufqCXF9bGX/JT3awJa8aj7NLONQafu7Ix5fS2owh9vHfzbm89z6PNTK3vvTLK5r5poXv2f9kUpsJ2cmv7gwlZXbjvnbfLCnmPEJIa2EDzB7aCTp0a2PBcLVD8qznYk48gdAo5SRW2kjXKfE5WnJivPvmyfiEwTGxocAMDExlNRIHX//9uznvWDnQEnXtkP/dOVIZqSGU21zopD2jvgFQWBtVgUOd4s4E0+G9146KpqXtxyjtrEl5r/C4vBP9U9nW34NORW2dq/j6cNEK20hij8APgEidCriQzUkteGZJZFIWH7RUJIjdNz73v52c+CNjDFytMrWp9l2+jtOt5cmp5dGp4e6ZhdGjaLHvP+OlFt57NPD5FRYW61DRJvUHK20EWVSc+W4WFb9UMS9Fw+lutHJ5JNrF6dTdLK8t1wq4e7ZQ/jheB17T9Sf1c7t638jvzjtPw2fT2Db0RrU8pbceB2JOrtibCwrrh7TbrtKq+OsVWKR1jS7vCSFa5mRGoGEliIhPUFxXTO3v76LXYV1rYR/CpfXh1GtIMqoYmNuFc0uD3aXF53q7HWIC4dFkhSuxeMTqG92s/L2yQGv2ZO5FLtK0I/8x6obEYBmpxeJBKYNCet06ekbMhL8+egf/SQr4B9UfbOL6ybF9+uc/X3Niq9z2F1Yz+IJsYyJM/XIvv/eE3X84t19VNsCL9SFapX+hbkrxsZid3lZ9UMRJk1LARKH24ta8eOPQEKYlpW3Z3Dbyh94b1cRxXXN3DotiXd2niBMpyRMp6Sm0cnwfvjDH/Ti745IK4lEwlXjWxYAR8eZ+OmbuzlR29yqjVoh49bpSby3qyjgj4MIxIVomJkWTnq0EX2AAqDng8Pt5bl1eby69VibuRB1ShlXjW/tfLN4Qhw3vbKTumYXWSfLlp9ZnTjNrOfDX87g4mc2sy2/hgMlDdw+PYnkCB1TU8LRKGX9skqQOO3vZlIj9Xxz/2zunJXCBUMjUJ6cRcwZHkl8qJafzkppp4fgRa2QsjG3mvhQTbcm1txfVM/l/9zKy1vaFj5AhEGFRCJpNeNQyKRcNymeY9VNxIZo2ixLHhui8ecltDk8lFkcLJ2RzMhYY78UPogjf4+gVsh49IqRADz9TQ5fH6rg+pNVYTuSMCIYWTQulktGRpEUrqWwton06O5Jxfb1oXLufa9j+Rcamt1sL6ghOVzXKsvwNRPj+deGfOztFFwR+PEa67Ir2VfUwKSk/lmpGMSRv8fRqxS8cUeGf5tI0cn1hJ5kYmIII2P6R1HTAyUNNDk9DInUY1S3jKDtia09/re7mOUdFD5AjEnNjNQInB4fBdWN7C+qp9nlQSmX8os5qXy0r4SP95VQ2EYmn9MvI5G0ODv1Z/q3dYMAj9fHS5t/LM89a2gE4+L7NpJtZlo4zy4Zx8TEUIrrmts/oRdIidC1hLl6fITplJyobcLl7fr2mM3h5uE1hzqVRqvC6qCwponkk1WQQrVK/4/1ksnxHCi28HVWBfGhgWsPhOt+jLq7ekIco/tRxGIgRPH3MHKZlD9dMcr/Psqo5sWfTOKCoRFolTLierGIRahWwR8vH0GEXsVvPjjAa9uOY3P2j8XHsgY7MaaW70KtkJEUrjuv3P55lbZO58+TSyVEGFQcq2nC6fEhgL+Ogkou485ZKYRoFG3uBp1aK1DJpfx2/vAu295biM/8PcjxmiZiQ9RnlaWODdHwzp1TcXt9VFgc7DxWy58+Pez/Q5NI6FThzI5w1fhYZqZF8NTXOf0ytXheZSP/WJ/HBUMjKLc4CNEqOFHb3OUouK5kWmtoduNwt1RKitCriDhj0TEmRM3/fX2En80eEtBnw31ypnLPnLRWawZur4/8qkZCtS0eo5EGVZ+VKj8dUfw9hNvrI6vUcs4/XoVMSkKYloQwLdEmNctX7edfN01gVKyRV7YcY3NeNaPjTHyaWYrbK3TpR0EqafFTP1xm5XdnhJn2N9QnK/yeIlzf9eQVXSkL5hME9p2ob/Vv5vL4+L6ghmFRBt7deQJBgGe/zeOlWye1Otft9VHT6CRcpzwr3v94TRMxJjU6lRyvT2jlJ9CXiNP+HsLu9nLluFjMho6t7l8wNJIV14whPdpAuF7FzVMTuWNmMolhWn52wRAkEhgbZyLS0Ho0unxMDApZYGeYGJOa52+cwPcFtWzO6//JR3xnDNfnE9kXF6JhQmJI564vwLTUcAwnFxx9PoHVu4u4443d/OmTLP8OxNrDFWSf4az11vZCGprdXD42hpL6ZvIqbRTVNnOsupFok5qQk+sH/UX4II78PcapFevOcNmYH6vFJIXr/HEFgiAwPNrA+iNV/OHykSx5eYe/3bgEE4snxPGr1ftpPm11fEpyGA9dls597+2npN5+HnfSe6gUUmoanShkUjQK2XnH849PCGF/UUOnzvnn+qMkhWupaWxx6tlVWMeU5DDC9Ure3/1jifWfvb2H126fTEF1I69uPU5OuZVJSaFIJRI+2V9GRnIoQyL1/S5d9+l06ttdsWIFGRkZGAwGzGYzixcvJjf3x/j2wsJCv5PEma8PPvigzX4rKytZunQpsbGxaLVaFixYwNGjR7t+V4MMiUTClWNj+cWFQxgRY+A3lwxDp5QxfUg4GqWcCL2SW6cl+dtfMjKK/7tmDD97a8+AET60FPOstjkxquXdkshD2gX34Ne2HefRTw/z/HdH+S6nCpvDw/HaJv63p6RVEdXSBju3vPYDq3cVc6C4AafHx+TkUB69YiS/mT+MjJSwfuvcc4pO1epbsGABN954IxkZGXg8Hh555BGysrLIzs5Gp9Ph9Xqprm49vXzllVd4+umnKS8vR68/+1dQEARmzJiBQqHgmWeewWg08uyzz7J27Vp/vx2hvxTq7C2sDjdLXtqBSiFj2ZxUAL44WM6wKD2Xjopm6Ru7KW0YGMLXKmVEGdWoFTKWzU1lYmIoMSb1efv2v77tOH/+IrubrOwYy+amolXKqbY5/eHBUglIpRLkUik6lczvCt4T9FitvrVr17Z6/+abb2I2m9m7dy+zZ89GJpMRHR3dqs2aNWtYsmRJQOEDHD16lJ07d5KVlcWoUS1bYi+++CLR0dG899573HXXXZ0xMSiw2N1klVo4UdtMjElNuF7FY59l8dS1Y0mN1HPxM5sHjPABZqZF8Mqtk5BIJFia3chlkm4J6hkS2fMjb0ZyKL+6eBg+QcDra1mUDdEq8QkCHq+AIAjo1XISw7RolXIa+lGlovN65rdYWpI2hIWdHecMsHfvXjIzM3nhhRfa7MPpbImuUqt/XBiTSqWoVCq2bdvWpvidTqf/XGj5xQsW9Co504aEM21IGBtzq7n+pe0YNQpSI/X85csjA0r40JLR95TYdSpZp6Mq2+LMrbqeQKuU8+b248xNN2N3eZFIJBTVVlFmcWBUK1DIWlJwH6tu4qtD5cwZbmZ6L9jVEbosfp/Px/3338/MmTMZPXp0wDYrV65kxIgRzJgxo81+0tPTSUxM5OGHH+bll19Gp9Px3HPPUVJSQnn52SmUT7FixQoef/zxrpo/oJFJJXh9AovGx7Ixtxqf0JJb7nhN+/ny+iMKmZQj5VakEglapQxBgIQwzXmP/r3hQBWhV+Hx+fjDmqw223yaWcZzN4zjpimJfHGwrN9k8O3yT+yyZcvIyspi9erVAT+32+2sWrWKO++885z9KBQKPv74Y/Ly8ggLC0Or1bJx40YWLlyI9BypnB5++GEsFov/VVxc3Gbbwci/NhzllS3HuTEjgSeuGsVrW491qHpsf+TN7YUsfH4rd729G51KjlYl6xYnp1CdklhTzwZSlVvs/HCs7pxt7G4vf/r0MLEhGn5y2sJsX9Ml8S9fvpwvvviCjRs3Eh8fuLTRhx9+SHNzM7fddlu7/U2aNInMzEwaGhooLy9n7dq11NbWMmTIkDbPUalUGI3GVq9gIs2s5607MvjrtWPJLLaQU2HjSPnAffQxquU8snAEJfXN6FXyDmVR6gj3zxuGoZtzA5zO9oJaKk7W0zsXVTYnr2491u1Vd86HTn0rgiBw7733smbNGjZt2kRKStux6StXrmTRokVERkZ2uH+TqcW76+jRo+zZs4cnnniiM+YFFacqvmSXWfk2uwJBgIn9OHw0EOMSQnj7jikgaXFpPl7dhF4l71ZHmCUZCby5vZDsfvDD+Oy6PC4ZGdVv0rl1auRftmwZ7777LqtWrcJgMFBRUUFFRQV2e+sFpvz8fLZs2dLmYl16ejpr1qzxv//ggw/YtGkTx44d49NPP+WSSy5h8eLFzJ8/vwu3FDz4fAL//O4oMqkEuUyC9jTRpJn7r3PJKe6dm8axmkZe2VLAXW/tYe3hChp6INfdy7dOYsnktotv9hZen8DyVfvarQTcW3RK/C+++CIWi4U5c+YQExPjf73//vut2r3++uvEx8e3Kd7c3Fz/TgFAeXk5t956K+np6dx3333ceuutvPfee124neCizGLn6olxTE4KIz3awJh4E3KpBIVMwpAIHX+6YmSb4af9gRc2tSTI+PmFqVw6KprhUQYqLe1PoTtLQpiWv103jp9fOAR5T2UF7SB5lY18GaAWYF/QKSef/kywOflAS1660gY7n+4vxaBWcOesFGqanFRanDz2WRaPLxpNiFbBS5sL+GBvSb8rHPG7BcO5Z05aq2NZpZYei4N/bl0e/9mU3+fp00O0Cjb+Zg56tZwqm7NbdyV6zMlHpH+hVshIjdTzwGmx42aDGgkSPvjFDH/O+ycXjyYhTMtfv87pK1MDUlTbzFeHyvksswyFXIpRLeemKYk9dr3+UjehodnN2ztOcO2kuDZzAvYGYlTfICTSoGpV7KLK5kQulXSorFRvsnp3Mff8dx9rD1dwvKaRj/eV9liaM0EQzsqo3JdsyK3CbFDjcHv5/EBZn6wDiCN/EBBlVHPV+DjC9Urqmtx8k1XBrsJz7033NpVWJw6P97yy95yLhmY3eZXtl9XqDAaVnHsvTkOjlCMIAoIAW4/WsP5IZbvnHihuYOkbuzBpFNw6PalHahS0hyj+ICHSoOLqCS0r3peNiebGV3Z2eCQM0ykZnxDCnOGRSCUS/vhJ295sXeVUEY3PDpTy05kp3ebie4q6Zle3T/mnpYZz9+zUVsfmDjd3SPzQ8oN07cR4HG4v+4vqGRlr7NXqxKL4g5AYk4Znl4zj+pd2tJnuKsak5vIxMVw1Po6EMA1rsyp44/tCcrt59DyT59Yd5WcXtO3c1RWySi385csj3donQKCxOjFci1Ypa5VbIRBqhZSfXziEReNa/DWcHh8er0AP+iOdhSj+IGVSUhjXTIznw70l/mNhOiWLxsWyYHQ0Y+NNbMip4t8bj7Ixp/q8Mul2hnEJ3Vumq7bRye8/OtgjZdLMxrMDdE5N/9vD5fExMTHUf699keFHFH8QY1DLSQjTMGNIBDdMScCoVrDtaDUvbMznh2N1vSb401k0rntj3Z9dl9dj9RE1AQT7rw35rZJ+tEW4XkVCWN+t9IMo/qDmpzNTuDg9in1F9Tz6SVafFxFNCtdy7aTuE7/H6+OzA2Xd1t+ZnJmf8fv8Gp5dl9ehcx0uL3aXt0+z+IriD1IOljTw/PqjbMitYpjZ0OPP8u0RoVfx4i2TunXB63hNE7YeLIqqV7eWzx8/ySIlQofF7qaunfToNqeHr7PKuWZi37kdi/v8QUyTy0OoVsmSjAQWjo5u/4QeYmSMkT9fNYqRsd3rmWl1dH+cwOkkh7fOFGSxu3n3rqlcOiqqQ+e3VSa8txBH/iDF7fVR2+jioQXpTE8N5+YpiazL/qbDde26k2eWjGNED9QMlJ8jH0R3cLpjjs8nYHO4uf7F7VQ3dkzUfZ3ZVxR/ENLk9LD+SBVVNifHappYOCYajVLGht/MQSqFUK2Sf23Ib1VjsDuIMqrISA7DYndjc3iIC9WwaFxsj3kepscYCNEqaGjumRnAz9/Zi04lJzlCS6xJg9srUNaJwKRXthQwb4S5zd0Nn09g/ZFK5o/qmVmZKP4goabRybs7T/DFwXLmDo/ky4PlDI82sGRyvL9IRZheSbPLw8f7SthxrLZbrx8XouGq8bFoFDISw7XIpVKSwrU9WsxSJZexZHICr2w51iP925webE5Ph5J5BGJ/UQM2p6fNGg8n6ppZ/t5+rp0Yx30XD0WjkHVrMhBR/EFCtc1JUW0zZQ12xsaH8NtLh5+1uKZXydGr5Nw6PZkqm5MDxQ3ddv0oo4r7Lh7q38/2+gTe3lGIQS33FyfpCe6alcK7O0+063TTFySEaXlnxwmWzf0xstFid1Nab+e1rS0/WEqZlK+zKhgbH8LBEgsrrhnTbdcXF/yChBExRq4cH8uOhy/mynGx51xV/+xAGat+KOp2G9QKGVVWBw9/fAgJcKK2mXXZHXOF7Spmo5r/3jUVVTcUAelOls5IZuNv5/CTqT/m9HO4vTz4wQFuf2MXh0otGDUKbp+RhNXu5t8b8tleUNOtNogjf5AgCALDowzkVzXidHsxaRWMjDEGfN7Uq2TdXrr71Mr4i5sL2F1YR06FjXKLnV/OSW3nzPNnQmIof7tuLI99drjHnv87S4i2ZapvOvlfQRB46KODfJtdyX0XpXHBsEi8PoGpKWFEG9VkFluYktK9adpE8QcJT3+Ty382tV7Au2NmMo9dOeqsthelRzEzNZyNud1X3HPeyChqGp18uLeEe+aksXp3ERcMjSTK2LPZdU9x1fg4TtQ2d9gJp6dZufU4kQYVJfV2KiwOYkxqYkM0vPSTiSwYHcOx6kb/bsCt05OZnmoju7x7fTFE8QcJG3Kqzjr2xveFpEcbuCGjdQKNzOIGqrpxDzraqOaidDPL/rsPlVzG/FFRZJVauHhEx/bDu4vbpyezv6i+W3/UuorN6fHn+l//wIX+nIuCINDQ7OL7/JpWW4FpZgNp5u7dFRHFHwTsL6onpyLwqPHwx4eYM9zsH4F9PoEP9hR3S978U1w1IZYP95bw3ckfoMyiBmoaneh62bXVpFXwxh1T2FFQy73v7aemg/vx3YlBJSfSqKKwpskfUZlbYcOkUfDuzhNsL6hhfEJIj2Y0OkX/WgUR6RFGxhoZlxBy1vGUCB3zR0YTpvtx+0gqleATBIZF6VEruufPw+MVWtWoe/TTLA6VWtiWX9MnGWymp4bzwS+mt7rvnmJ0nJGbpyZy38VDGRVr5E9XjkSjkLUKpZZJJTz5ZTbPf3eUguomfrcgvVccgMSRPwhQyWW8uTSDv3x1BLvLy5eHyrlsTDT/uWVSwPZ3zEzh9td3MSRC3y357v/7wwmcpyUPbXZ5ySxuwGJ3k5Ec1ifhrCkROr68bxbzntlMUw9sA8aY1PzturF8c7gCh9vH+uxKssutPPjhwbPaHq9pouxkfcWJiSE9lsrsTETxBwmhOiV/v34cgiCw5f9VU9voIq/SRqRehUYpayXA1Eg9Y+NbnG+6Q/wO99mhwSX1dkK1SnIqbIwPMCvpDWJMGq6f3FLUo7sJ0SpxeXy8u7P9LdPnv8vD6fFxwdAIXvpJ4B/knkAUfxBQUt/M5wfKkUslbMyt4pKRUfgEgSe/PEJehY0Lhkbw1LVj/SWyTpWbrmk8/3LSWqUMt9cXMIXWoVILj3x8iPd+Ns2/5dXb9FT1nCPlVu58a0+H2jrcPvQqOU9cNbrN9GWnHo+6M9GJ+MwfBOhVciINKlxeHyuuGcOzN4znHzdO4MVbJpIYrmXt4YpW7rwKmZQFo2OYOiRw6fWOIpdKuGlKYqtMwmeSXW7lkuc2U9EDxTo6glzWNTHpVXK03bhg6fL6iAkJvO0pCAKfZpaRV9nYbdcDUfxBQYhWyYLR0RjVcmJMPxaI0KnkPHjpcKYkh/HS5gL+/Hk2pSefPReMjsbu8nLHzOQuX9fjE1i57XjAaf/p+AQBxxnZb8ot9jZat+Z8w3alXRhJJySGsO/RSzj8+KXs/sM8Pr5nBkMiz89F2eXxse1oDS6Pj5L6ZhxuLw63l2PVjRwqteBwexnezQFQ4rQ/SPj7N7l8e7iCPSfq+dt1Y1HJW1xt40M1PLQwnZ++tZutR2vQKmXcfeEQ/rAmi++OVDIxMZTF42P5JLPnMuKMjDWRFN6S0qrK6uBoVSMpER0TU3mDA2moBH0XM1/WdmG7LylMi/Kku3CkQUWkQUVimJZj1edXIv33Hx3k2onxxIdpKahqxKhRMDUlDIVMisvrQxAEcdov0nl+OSeVX18yjFunJaE8+VxZXG/H7RHYerSG4jo7BpWcK8bF4PO1jMS/u3Q45RY7M9IietS2/Eobh8us2F1e7np7D7e89gOvbDlGUwdcjI2almCk2kYnli4U+dx7or7T5wR6Lq9vJ3NPe0wbEsbzN07AbFQjoWV7NjVSx8y0CMbEmbhuUny35/YXR/4gIcqoZvaw1u609U0uIvRK3CcTdc5JN1Pf5KbK6iTKqOL6yQksGh/XIRGejlIu5YK0CL9TT3uUWRxc8+J2RsQYOVjSUsD1ze2FfLyvhPsuHsodM1POWjfYX1TPhpwqtEo5d8xMRqeSU9Zg71TRD4fbG9DzsT0CXcN6nunCQrVKZqZFMDMtArfXx4HiBiYnt6y59FSeP3HkDyLO9KOXSSWYDWp/0o7PD5Rx06s70SplJIRq2ZRbTZhOSXyoBqO64+OEy+PrsPBPP+fMEGKrw8OTXx5h4fNbeGFjvn89wupwsyGnisziBpLDtXxzuIL8qkZcXh+FNU0cr2lie36Nv31bWB3uLmUuCuQcVNbOtdqj2uZkS16L27FCJvULvycRR/4gZm66GY/Xh0Yho54fp8zfZldic3gYdnKBaXNe9XmPbOdDXmUjT3+Tyz+/O8qc4ZHcMyeNZXPTUMmlSCQSShvs1De5yK2wsXB0DEq5FJNGcc4wXkEQ+OZw18KJo8/4EXV5fOed5lyjlNHYzZGU7SGO/EGOXCblvouHtjr2zeEKYkxq/vRpFt/n1/Sb6r5Oj49vDldy3UvbufQfW/jXhny+OVyBViFjdJyJOcPNfHO4AoBQrYLi+mb/I82Z+ATY28V6hZGG1sU6Kq2O846F2Hq0hv1FrdcfXB5fj26BiiO/CJeNjSGzuMG/pVRQ3eQPfb3ltR/62LqzcXuFVuG5cSEaZqVFoFHKkEsljIgxkmbWo5RJOVxmDehBKJNKqO3iIt2Z4u+uAKFyiwO7y4vT40UmlWCxu4kL0bR/YhcRxS9CeYODJxaPptLqwOH28tG+UjxeH1a7h/f3FPe1ee1S2mBvZeeb2wu5KN3Mz2YPIUynpNLqCJg3oLiuayW7P95Xwoy0COJCNBjVCr7tpmxExXXNvLOzkLe2n+DysTEsm5vWo9V7JUJfhFX1AFarFZPJhMViwWjs/jTQg52C6kYSQrXsK6pnSISOHcdqKaptJrfSxhcHy/vavC4TplMyKtZIXZOLjOQwfIJAQqiWwtom/tsDqcq6i2FRepZfNJT5I6M6FfjUGR2II78I0BLMAzBtSDi1jU7UChkJYVoSw7XMHhrJ6t1F7Ctq6Fsju0Bdk4utR1ty3/V1ObJAxJrUZ6X7TgzTMikpjJRwXZc8EDuKKH6RswjXq4g1aahrduHzCbgUvnP654t0HZNWicsrUNPoRCaV8PR1Y7l6QlyPTvdPIYpf5CyanB6O1TRidXgwG1QY1PIuec+JnBuTRsGRcitKmRSdUsZPZ6Vw2ZiYXhE+iOIXCYBWKePTzDJiQ9Q0OrR8cbD7I8pEYO7wSEbGGpkz3IxMKkEQ6NUZlih+kbN4f3dxl9xeRc5NuE7J3HQz4+JNpJkNDI829EoqsbYQxR/kWJrdrRJpNLs8/P3b/pHeejARa1Lz2b2ziNCr2m/cS3TKw2/FihVkZGRgMBgwm80sXryY3Nxc/+eFhYVIJJKArw8++KDNfhsbG1m+fDnx8fFoNBpGjhzJSy+91PW7Ejkn9723n21Ha1ibVcH6I633qFf9UNQnWW37O5eOimLdr2djNnRNvBKJhBc25vOHNYf44yeH+PPn2Xy4t4T12ZUcLrN0s7Udo1Mj/+bNm1m2bBkZGRl4PB4eeeQR5s+fT3Z2NjqdjoSEBMrLW+8Jv/LKKzz99NMsXLiwzX4feOABNmzYwLvvvktycjLffvst99xzD7GxsSxatKhrdyYCgNPjRSWXUdfkosnpYV12JR6fj6351ewsqOVAiYURMUZGxho5WmnjuX5S1KK/UWFxsONYbafrGYyKNXK0spFwvZKfTEtCIZXS7PYQplMSqVf12uJeIDol/rVr17Z6/+abb2I2m9m7dy+zZ89GJpMRHd26nPCaNWtYsmQJen3bqYi3b9/O7bffzpw5cwC4++67efnll9m1a5co/vPkaGUjm/Oq2ZhThUYpY+mMZPRqOddPiudAiYVnvs1FpZCSW2Hjttd/6JFMtoOBAyUWDpR0foS+f94w1mVXUG1z+n0p+gvn9cxvsbR8GWFhgcMP9+7dS2ZmJi+88MI5+5kxYwafffYZP/3pT4mNjWXTpk3k5eXx3HPPnY95QY3XJyCTShgdZ2JkjJFRsS3eXlU2J8+ty8PS7OaOmcksn5tGTrmNFzbmU2kVp/vdzf2r9zMixojHJ7AhpxK3V0BCy2OATNoSZj0qtufKlJ+LLkf1+Xw+7r//fmbOnMno0aMDtlm5ciUjRoxgxowZ5+zrX//6FyNHjiQ+Ph6lUsmCBQt44YUXmD17dpvnOJ1OrFZrq5dICzuP1TL+8W9562RKaqlUwqjYlqi3+FAN4xNCMBtVyGVSfALsLqzjeM35paASCUyTy8ueE/VYHW6qbU6anB5sDg/Wk6W4q/rwB7fLI/+yZcvIyspi27ZtAT+32+2sWrWKRx99tN2+/vWvf7Fz504+++wzkpKS2LJlC8uWLSM2NpZ58+YFPGfFihU8/vjjXTV/UFNusXPBsAiumxTvP3YqEm1GagQzUn9My1XWYCc+VHPe8egigRkRY+RIuRUE8PrA5fHgcPu4bGwMoVoF6nOUSu9puhTYs3z5cj799FO2bNlCSkpKwDbvvPMOd955J6WlpURGRrbZl91ux2QysWbNGi6//HL/8bvuuouSkpKz1hlO4XQ6cTp//NW0Wq0kJCSIgT3A4TILG45UMTk5DI/PxwVD2/7+f7V6PykROrJKLaw/Iu7tdzfDowxEm9TIpRJWLs0AwOP1sa+oAd/Jsumh3bjX35nAnk5N+wVBYPny5axZs4YNGza0KXxomfIvWrTonMIHcLvduN1upNLWpshkMny+tkcjlUqF0Whs9RJpYVSsifpmN+uPVJIYpvUfr7I6cJ1WNksQBLbkVZMebSTzjBRaIt1DbqUNtUJKk8vDlrxqtufXcLDUgiAISCUSQvqoWAl0ctq/bNkyVq1axaefforBYKCioiVrislkQqP5MelAfn4+W7Zs4auvvgrYT3p6OitWrODqq6/GaDRy4YUX8uCDD6LRaEhKSmLz5s28/fbbPPvss+dxa8HNQwvT2V5Qwzs7TgAwb2QUk5NCWbntOAtHx6CQS4gxafj+oYv44ydZ3VKdR+RHIvRKHl44ArVCxvGaRv7+bR47j+3yf54QpuH5Gyf06VZfp6b9bRn6xhtvsHTpUv/7Rx55hHfffZfCwsKzRvRT/Zx+TkVFBQ8//DDffvstdXV1JCUlcffdd/PrX/+6w1+OGM8fmEanh79/k4tcKsHh8eIT4MJhkXx3pJJoo5q1hytEv/0e4J83TWDRuFhcHh83vrKjVTh0mE7J+3dPY2gPlArrjA7EZB5BwvaCGm5+9Qci9EpxlO9hrpsUz5+uHIlBJeeva3N4dcsxxiWEUNZgp6HZzUu3TmLucHOPXFtM5iFyFuuzWxbzROH3LHOHR/L4olEcKG5gV2Edr2w5RkqEjnfunIpWIeOVrccYE9c3+/pnImbvDQJcHh/fZlf0tRmDnhsmJ/DyrZP5YE8xKoWUD/aUMC4+xC98qVTCNRPjyCm3Ye8HnpTiyB8EbMmrpqT+/IpKiJybqyfE8eCClvJmc9PNPPbZYf7vmjGU1ttbZeA1G9RE6lUcLrMyuo9nAOLIHwRsy6/paxMGNenRBn518VBO1DZT2+TilS3H+MNlI3B7fDQ5PWw9Wk1uhY1Ty2sSiYRhUQbqmlxU2Rz01bKbOPIHAcZO1K8T6RxhOiWv3T6ZDTlVhOtU/PGTQ6gVMjQKGbdMS8Lt9ZEQqmXPiXr2F9UTaVARolUwKtZEmE7J9oIaqqxO9Co5Do+X9OjeW6wWxT9IcXl83PzqTiYlh/LGtsK+NmfQ8sRVo4kL0XDrtCSu/s92LHY3z90wnuK6Zr44UMbFI6L8VYOGnIzqizZpqGtyIZGA2aDCqFbg9PS+e7Uo/kHKoVILBrWcCQkhvCz67fcY9c0uJBIJz3ybS0FVIxePiCJUqyQ1Us/2ghpe3lJAuE7FqFgjyRFanG4fJo0CvapFel5fS5SfAG2WFuspRPEPUg4UN6CQSZFJpUQZVWK4bg/xx0+y+O5IJdvya7hlahKXj41hc1414XolggAxJg2j44zU2JxsOFKFVxC4KSPRf/7pCTtl0t4N8hEX/AYp9c0uYkM0PP75YVH4PUyl1cnT143DbFRxpNyKVAKZRQ043F4eWpiOXCohKULHdZPiuXRUNNJ+UgNBFP8gpcnppcrmoKTeTkZyKDpl34WODnb+dt1YRsUauTg9irRIPTWNLjJSwliSkQDAxKRQQjQKDpRYBm4CT5GBw/jEENxegRdvmcjqu6ejEcXfY7y3q4jPDpSRXW7h+4IaZqSGs3h8HA6Xl025VYRplYRqlZRb+pevhfjMP0hZNC6WReNi/e/rm8WKOz3B1JQwbpuezPGaRv6wJotfXJjKvBFRlDbY2XmslvhQLYW1zaSZ9SRH6Pra3FaI4h9knMrWeyZSCfS9Q+ngQSqBKSlhPH/jBKKMauqbXbz/82l4fALb8muoa3IxPNrA2PgQGpr7ZzyFKP5BxtLXd/OLOam8tvUYVVYnN01J4LbpycilUtxeUf7dQahWweg4EwdPy+YbZVSTcnJkb2iuZXSckTRzS8huiLbvqvKcCzGkd5Cx+IXvyau0Ea5XUlxnRyaVoFXIsDk9fW3agCdMp+TSUdEUVDfyt2vHUt/sYkJiKAAWuxujWt6nyTlAjOcPavF7fQKHSi2kROj4JquC3310sK9NGvAoZBJ0KjlhOiV1TS42PzgXUz91mRbj+YMUl8dHg91FXIgGk0bB8VoxHff5Ehei4W/XjcXm8PDFwTKuGh/Xb4XfWUTxDxIEQaCuyUW0SQ20FOB8cVNBH1s1cEmPNmBQywnVKjFpFMxMi2BsvGlQBUmJ4h8klNS35N8/hVEjF1N2dZJwnZLaJhdzhkcSolEwa2hkq9oHsafF5Q8GRCefQUJ+VSO+01ZvJBIJl42J6TuDBhCTk0K5a1YK98xNY1Sskd8vSEerkjM+oX+k2+opxJF/kDBneORZK82PXDaC4dEGYkM03PHG7j6yrH+hlEuJC9EwOSmUpTOTcXsF3vj+OF5BoNHhwe31oVXKuH/eUMwGdV+b26OI4h8knC58QRA4XtNEfbObuBBNj6SIHohIJfDez6ZRaXVgsbsZHmXgD2uyCNUqyau0Udvo4oaMRCINKrTKwS+NwX+HQciHe0t48MODaJUyhpr1NIp7/ABclG5GIWt5HNqcV81VL3xPcoQOq8ONQiZFLpNw6aiooBA+iOIfVGw9Ws2nmWV8tK8EqaSlKGdpg52CanHLD2BkjJG/fHmEKSlhLJmcwGVjYtApZVw43My+E/VY7C2VdONDte13NggQF/wGCWUNdh766BAf7i1BEFry9lkdbn47f1hfm9ZveHN7ITdPTaS0wc7arAouSjdztKqR1buLiAlRkxSu9XvsBQPiyD9I+OJgGaUNdsYlhHDRcDNqhZSfTEuiyuZEKZOKJbgBq8PDxpwqTtQ1MzUljFe2HOOaiXFMSQnD5vD0q1j73kAU/yAhOVxHpEHF368b22qBr7m2iTHxJvaeqO9D6/oPB0st3DwlkZJ6O8OjDUglElRyGVYh+NZFxGn/ICElQsdjV47kzLiShDAtk5KCZyrbHseqm6hvdmF3eRkebWBKShgAkYbgGvVBFP+gYWiUgSvGxvLD8bpWx41qBR7voIjd6jbSzHpO1DXz8b5SPt5X0tfm9Bmi+AcRgiDw/PqjrY7ZHG58gyNws1tJDNMyPErPVePj+PZwBcdrgm9HRBT/IEIikfDUdWNbHSttsIt1+s4gVKtkUlIocpmUHQW1RBnVROj7Z8KNnkQU/yBjVKyR2sYfU3UrZVLyq2x9aFH/4oKhERwssdDs8lLf5KLa5mRcQggG9eCJ1uso4mr/IKOh2c2fP8/mgqER3D4jmdomF4W1zX1tVr/h+/wapiSHMTMtnMXjY/s8805fIop/kFFQ1ci2/BoKa5uYOiScbUfFCr2nCNMpuXJsDMsvSgtq0Z9CFP8go8HekqLb5xPILKrnh+O1fWxR36OUSYnQK3nt9gyUcgkl9XbcXh+xIRrUinPXM7A0uzFpFXh9Al6fgFI+eJ6URfEPMi4eYfZPZ//f59l9bU6vk2bW89ptk3lmXR6fHyhj+dw0FDIp/9pwlL98lc2kpDBkEgmfHSjljpkp/GRaUqvzG50eZBIJUimUNzg4UNJAXZOLgupGbp+ejELWIn6720tNo5Mmp4ehUQaUMil6lZxQ3cBZOBQTeA5S3t15gj9+ktXXZvQqqZE6fjknDa/PR6PTyxNfZCOXSpg3Ioox8Sb+teEoCqmUN3+awXdHqiiut3NTRgJmo4rSBgcVFru/jPb+onqkEglRRjWpkXpyK60YVAqaXB6kEglapYxIg4qUCB0GtYImZ8vxvq6MJCbw7Af4fALVjU5K6u18llnKo1eMRC5rPWVsdHrQKmQ9Urjxk/2l3d5nfyZCr0KvkvP7jw6iU8r481WjAfD4BGzOlrTac4ebOVbdxNPf5FJcZ6fa5uSbrArSzHrKLHauGBvD/qIGpqeGc8HQSI6UW4kP1TAixsDIWCNurw+FTIogCGetGehUA09KA8/ifo7D7eXb7Er+szGfqyfEccnIKOQyKX/8JIvfLUgn7OS0cNvRGo7XNJIaqWdGWkS32tDQ7GJPkPjyy6QSZFIJdpeHAyeLaDg8PlbtKvK3OVrZSHyIlZ/OSmF9diWvf3+cC4dFclG6mSGROrw+geRwHdsLapmcZGLltuOE65RcMzGeYVEGv9BPTfkHy2Lh4Fm96GOqbU4e+uggE59Yx33v7ae4rpldx+uoaXQxKy2CRqeHp7/JBWDviTrcXh+3Tk/uduHbHG4251V3a5/9FYNazrUT45BJJK3SaatkUlRyKRcOiwRArZCRVWbhL18e4fuCGtxeAYVMilEjZ9UPRTy1Nodyq4NbpyfxXU4Vb94xhZunJvH5gTLe312Mwz04Kx2Jz/zdgMPtJePJ9dicHi4YGsE9c9IYHWfkUKmFlzYfo8rqIKeixdEmKVxLSb0dvUrOsrmp3DVrSLdN+y12N+Me/7Zb+urvKGVS/njFCP706WFMGgUWuxuVXNrygzApnvkjo3G4vYTplNjdXiL1KiL0KnyCQFaphalDwv19PfC/TL7JqmDW0AhmDY3k0lFRmA1qth6tJjlcx7Pr8vi/q8f0+fN8R+ixZ/4VK1bw8ccfk5OTg0ajYcaMGTz11FMMHz4cgMLCQlJSUgKe+7///Y/rr78+4GdtTaP+9re/8eCDD3bGxD5BJpX4y2FVWBy8sqWAHcdqcbjPjqE/cdLhxmJ382lmGZOTw1DKpKSZ9agVMnIqrKRHd+3HKxhG/BiTmqUzkqmyOXnq6xykkpYZgM3hZmy8iScXj2F4dOuchQ3Nrlb18k4XfrXNyeLxcdx/8TDsbi+ZxfVszKlCIpFwpNzKjRmJzBkeySeZpdw0JbHX7rM36NS0f/PmzSxbtoydO3eybt063G438+fPp6mpJSgiISGB8vLyVq/HH38cvV7PwoUL2+z3zHNef/11JBIJ11577fndXQ9T2mDnUImFf6zP8x87WtXIxtzqgMIHGBal585ZKeiUMg6XWdmaV8PeE/Vc8txm/rY2hx0FXduXL6hupNEx+GPSH1qYzmcHyshIDqXZ7UUqkdDQ7GbeiCje/unUs4QPtFlhx+ZoSds1e1gkieFahkcbuCEjkX0nGvh/nx1mSKQeg1pOpF7FgeKGHr6z3ue8pv3V1dWYzWY2b97M7NmzA7aZMGECEydOZOXKlR3ud/HixdhsNr777rsOn9Nb036fT+DJL4/wbXYFJfV2EsI0GNUKDpdZA7ZvyREXSX5VI8eqm3j19snoVXJuemUnHp/A8rlpaFUy/rY213+OQibBbFBz2/QkfjIt6ZwryXmVNtbsLyW7zDroR/6JiSHEhmi4ZmIcD398CIvdzay0CH576fAuzZZKG+zEBSjEUd/k4rucKswGFSNjjVz/0g7MBhWr757W7xf7em2rz2JpWV0NCwsL+PnevXvJzMzkhRde6HCflZWVfPnll7z11lvnbOd0OnE6fwxgsVoDi6+7efrbXF7//rj//Zg4E8fOkSAzOULH7KGR3DQlkdpGF+E6JUvf2I3nZIWNEK3irD8ot1egtMHOiq9zeHFzAWPjQ7g43cz8UVFEG9Vsyqtmw5Eqdh6r5WhVY8/caD/k7tlDyC638avVmQgC/HreMO66YAiyLq6ZBBI+QKhOybUT46hrcnH3O3sZG2/C0A8q8HY3XRa/z+fj/vvvZ+bMmYwePTpgm5UrVzJixAhmzJjR4X7feustDAYD11xzzTnbrVixgscff7xTNp8vXx0qP6v+XZRRzabctkfcw2VWHvr4EBcMbVnxzyq14D4tuUaVzUliWNvZYhua3WzJq2ZLXjWPfdayuGV3eYMyJ9/+4gbWZlXg8wncMzeNn1+Y2mPXWpddyaFSC/+4YTxur4/nzsiTMBjo8lbfsmXLyMrKYvXq1QE/t9vtrFq1ijvvvLNT/b7++uvccsstqNXnrpby8MMPY7FY/K/i4uJOXaezlDXYefCDA62ORehVyCQSml3tbwVtPVrD/qKGVsIHqG10oeqEv7jF7g5K4QOsO1xJucXB9NSWiMWeotLq4ERtM7+ZP5yEMC2vf3+c9ABrCQOdLo38y5cv54svvmDLli3Ex8cHbPPhhx/S3NzMbbfd1uF+t27dSm5uLu+//367bVUqFSpV7+Vde2ptDg5Pa9ENidDx3mnOJF2h2eWhWEy2cU5CtQp+OSe1ZYYlgXsvSkPfgx51BdWNTEwKASC3wsZXhypweXxkJIf5c/4NBjr1DQqCwL333suaNWvYtGlTm9t60DLlX7RoEZGRkR3uf+XKlUyaNIlx48Z1xqwep6bRybUT47lgaCTheiUrtx5nW34Nuwrr2j+5Hb7OquDrrIpusHLwMntYJNsLapFJJfzhshGMSwjp0esNizLw2tbjTEwMRaOQEaJV4Pb62JJXHbziX7ZsGatWreLTTz/FYDBQUdHyR2symdBoflw8yc/PZ8uWLXz11VcB+0lPT2fFihVcffXV/mNWq5UPPviAZ555piv30aMU1TUze1gkW/KqmT0skrnDzWzMqeKON8+/+KVOKcMrCG1uDQY74xNCmDvcTKhOyfQh4b0SUhuhVzEpKZTbXt/FtCHhPHrFSCotjkEVzgudFP+LL74IwJw5c1odf+ONN1i6dKn//euvv058fDzz588P2E9ubq5/p+AUq1evRhAEbrrpps6Y1CtIT67yujw+6ptcZJY0ICAwNSXsrGy5nSUjJYwwrZKPgywQp6NcNiYam8PN4glxvXrdS0ZGMSLGwD/WHyWzuAGNQoZKLqW4zs7QKD1zh5sHhMffuRDde9vB5xPYfLSaucPNrN5VRE6FjbsuSOEX7+5Fp5Sft/jTow2MijXxURCnkG4LqQRunJJIuE7JzVMTiTEF3prrSbw+gV++uxevT0AukxCmU6FWSKm0Opgz3MyicbHtJgTpTTqjg8E1j+kBDpQ0+D3EwnRKLko3c6jEwiUjoqk+LVFmV3GdrAcv0hqFTEKYTklGcig1jU7WZ1f2iR0yqYR/3Dgek0bBN4creW9XEW9uLyQ92sj4hBA+P1DGp5kDc9Ymij8AgiBgd3k5Um7l2XV5hJ30C99eUMuUlDCO1zahlEvP6dzTUWQSCeFBmDb6XNw0JZGL06O4bEwMJ2qbGRKhb9eZqdLq4FDJj4+SVoe72+zRKuU8sXg0l4yMQiaVIAjw7Lo8NuZUce3EeBLCtOzuhsXf3kaM5w/Aptxq/vhJFqUNLVtwPkGgoLqRjOQwvjlcgUYh69DefkfwDLK8cOfL6Dgj+4vqGRtvotHhYVZaBJU2J7sL6/lkfykLRke3mmbvPFbL/3YX8212Jc0uD/+6aSJj4014fALGbkzHrVPJefW2yRRUN3LTKzupa3IRolUglUqYmBjKP9bnkZE8sHYCRPEHwO31+YUPLRl3jlU3MTMtgqwyC1NTwnluXd45eug4VrsbeQ9k8hmoRBvVXDgskv1FDYyKM/HloXKcbh8GlZyV245TWNvEiBgjRbXNbM2v4Vh1IyX1diL0Kv523VguGxPTo/YlhGr5xw3jcXi8zBlmBuDbkwPCQEMUfwB8ZyyBPr/+KMOiDSyeEHeyCEYjhbXdU96pwe5GLhVHfmjZ1gvVKtlf1MCMtAiumxTPOztP8OGeYgQgt9JGVpkFvVLuD6GGFj+AZ64f1yvFNiUSGBVn8q8DHShu4O0dJ3jt9sk9fu3uRhR/AE6vbadWSJme2np/OTlC221/aF6fQHxo769i9zdGxRoxahTUN7vJLK6nzGLnuknxXD8pnuPVTXy0rwTXSQ9Ll9fHlJQwRsUacbi9PLRgBCZt71TcUcikmDQtfwuFNU2s+PoIS2ekdHjF/1Ruxyjjud3XewNR/AHwCQITEkOob3JR0+jCJwiknszqand52Xq0htyK7iuBdajU0n6jQYxOKePqCXHUN7tIjdQzMy3cH8asVsh4aGE63xyuwGJ3E6FX8sRVo4kP1TIm3tRnNjc5Pby5vZDYEA1TO+H1d7jMyui4/pFdWhR/ALw+AZ8AZRYHLo+PN74vZMNv5gDw/p5i1nXztlOV9fy3DAcyN2Qkkhim5YKhkQGTcShkEi4fG8NrW49h1CgobbCzsIef7dtjc141Q6P0PP5Ztj9T8OlklVrYV1RPQqiWzOIGbpmWiNXuweX1nvwB6LsfrlOI4g+ATxA4UNyAQSUn2qhm1tAIvzeX52REnfJkAsiaRldfmjoomD8qijSzngh94EcpiUTC3OFmyhrsyKQSbp2eFLBdbxKhV6GSSxkRa+R4dRNj4k0U1zVTWNuETCKhtsmFw+1ldJyJkpMZn6KMaiYlhVFpdWCxu9vMMNRbiOIPgO+km73N6SFMr8R+2rbeVePj2JhbjcfnIzVST01j+/u78aEalkxOoMnpoaC6kfVHqlp9bh+k2WE7wozUcKadllOvLaanhjM9NRyfT+iROgedpbC2iXkjoljzyxlIJC2RgP/ZWEBciBqb00OMSc1t05NRK2RkJIeyObeahDAtB4obcHl9JIVrAVH8/Y5QnQKzQUWUUU2D3cWOglqaXR60SjkZKWEMidRxrLqpw66980ZEccnIKJ75NpfrJyew50Q9Dc3d54QyUDGo5Ty7ZHynzukPwge4ZkIcnx8sQ6eUc6jUQk6FjVdunXRyau8jQq/0Z/5JjzaSEqFDJZfh8vjYXlBDfZMbs6FvF/1E8QdgdKyJhaOjWZddSYXVgU+Arw5VsHB0NN8eruCWqUk88UXH6+AdrbKRVWphyeQEIg0qJieFsf7Ij+sGp4prBhu3TU/C5nATber7le/OIpdJuXpCSy6L+aOiaXZ58Am0ueugkrc8NmYWN+DxCoRqFewprMN2ssyX1+djZIypV78LUfwB+C6nihExRt7acQJoeb5/ZM0hJMC3hyvZcawWubSlXpu1Axlzcysa2VNYz+cHy1ArZNQ1tV4n2DLIE28GIsqoIjZEM+Aj406hVXZMSmlmPUfKrRwqtTAuIYQIvQqH24tKLu31HIFiVF8A3tl5gufXH6XmZODOnbNSUMikvLS5gJ/OTCFMp2D17mLcXh+VQb5S31WeuX4ccpmECouD6ycn+MuYBQuB6v11B2JU33kSH6rhVxen+d9vL6jlVxcPZWy8ide/P47F7uamKYl4vN3zu3nrtCT6yaNsr3DB0AiunRTP+IQQ6ppdbMuvwXemW+Ugpz9kAhbFH4BIvYrFE+KYPzIKgNwKK69/f5yiupZqO69uPY5cKiGumzzznB5vr7im9gfkUgl/WTwGgKRwHb+7NJ0wrZJjNd3jLi3ScUTxB2DnsVpW7yrm+skJQIuv/9Pf5LZaoX97xwlmD+14fsJzEapVDriIsK6ybG4aieE/piqXSSXMGhpBmlnfh1YFJ6L4AyAILcU5vs4qb7NNaYOdJlf3lMdyewVCtYP/mVcll/LTmW0nfRXpXUTxB8ArCETqVXy8r5S4EE2bU/Ku1tU7k61Hqxk2CPPCn8ni8XG9FoAj0j6i+APg9Qn+eP7SBjttbYjkVNjojnWbEK2CReNiiR2A+90dRSaV8LPZ4qjfnxDFH4AzV57b8t+fmhLGqrumccHQiPO63u7Cen7zv0yuHBd7Xv30Z26ekkiaefDPbgYSovgDMDfd3G7QhUQCz94wnupGJ1uP1pz3NdcfqUIqlRAyCKfFRrWc+y4e2tdmiJyB6OEXgNFxJv7v6jFIJWBzeNheUMMnmWWt2ggClDfY/XXbJZKWY+fDuztOcPEI81nXGqiE6ZQMi9Jz89SkoNnKHEiII38bXD42hgWjo9Gp5BwsOTvZhkIm4WCJhcziBiL0SoZHnf+U1ub0oJANnn8Sq93tz20v0v8YPH9pPUBRXTPLVu0L6IAikUhwe31kFjegksvafO43qjs3ufpg7+Ao3hFtVJMYpmXh6Oi+NkWkDUTxt4Hd5eW+1Zltfv6ri4di0ij8OwNj40POavPTmSmDOlY/xqTm1/OGoTsjOCclQsfORy5mw2/nkBSu6yPrRNpDFH8baJQy4kMCu+9eNT6WaKO6VWx5ta11gE+EXklRXTPubvL/74+4vT5+MWcI/7xpAmrFj39KLo+Pj/aWsDkIoxUHEqL4z8G1k84uDjlvRBRXT4jD6fFRe3ILUCmTkhyhbTXFf+SyEWzOqzrr/MFETaOL17cVcvGIKJ65frz/eF2Tize3F/LfnSf6zjiRdhFX+89BoHTMP79wCL96bz/v3jXVn3XX5fXx7s4iZqRGsPZwBXEhGlIj9YN61D/FU2tz+OF4LWNPS0h57aQ4njwZvCPSfxFH/nMwLSX8rICTn7+zlzKLg8151cweGknEyTp7G3KqcHt9hOmU/OnKkdzz3319YXKfsCm3mn9uyPe/j+rj9FQiHUMU/zmQSiWEnuF0cyoLz8ptxzGo5dw9e4j/M5NGwUe/nIHV7m5V7ivY6Ou02iIdQ5z2n4Mmp4dZaZEcr2k6y8W3pN5OaYMdnwBv3pHB9NSWDLQuj49nu6mO30DEqJbz/u4i/nD5yL42RaQdRPGfg08yS4kNUQf07Z+SEsarW4/xx8tHolbIqLI5+HBvCW9vP0GF1dEH1vYPVAoZM1IjcHt9g8phaTAiiv8c2F1e0uJanvmjjWpqGp14fAKPXJbO3bNTgZbtrte2HuOZb/MG9Z5+R6m2OcmpsDF7WPckOhHpOUTxn4NIg4r6Zjff/no2Q816dh6rI8qoIiVCh8frY/2RSp7+JpeCajEF1elMTw1HFkxJCQcoovjPwcLRMWSXW9EqZUgkEqanhlPaYOe59UdZ9UORP7uvyI/IpRKijWqOlFv5/EAZv1uQ3tcmibSBKP5z4PH52Ha0miUZCXxzuIJ3dpzg+4Ka847eG8yMiTexIaeKxz8/zHWT4nG4vR0uXy3Su4jiPwdapZwZaRHc/vpujpRb+9qcAcGyOS0JOqenhpNVauHOt3bz37um9bVZIgEQxX8GDreX1buKiDCo0Cpl3PPffTjcvr42a0Bw16wUxieGcKC4gVGxRt7bVcwrt07qa7NE2kAU/0kanR7e3XmC17YeF5/lu0BSuJYml4elb+xCq5RTVNuMXCqhodmN1ydwvKYJi93FpKTgSFE+EAh68Vua3byx/ThvfF+IJUgLZnYHXp/Ae7uKWx1TyqXct3o/oVoltU1O7p6dyqSkMHw+AQHEHYE+plNeGCtWrCAjIwODwYDZbGbx4sXk5ub6Py8sLEQikQR8ffDBB+fs+8iRIyxatAiTyYROpyMjI4OioqKu3VUHqGl08tTaHGY+tYF/rD8qCr8LXDgsks+WzyT3yQVcOzH+rJJjLo+PZpeX0gY7DrePt7YXsuKrI9icHlH4/YBOjfybN29m2bJlZGRk4PF4eOSRR5g/fz7Z2dnodDoSEhIoL29d6OKVV17h6aefZuHChW32W1BQwKxZs7jzzjt5/PHHMRqNHD58GLW6+wNEyi12XtlyjPd2FYnP8ufJA5cMY1t+Dc98m8ev5g3FoJZztLKR6kYnB4obqD2jGnGT08Nv5g9HLpXg8wmt8iGI9D7nVaW3uroas9nM5s2bmT17dsA2EyZMYOLEiaxcubLNfm688UYUCgXvvPNOV03pUHXS7fk1LH1jNy6vKPrzJdqo5uapibi9Po6UW7lmYjyXnRbQsyGnkg/3lvDVoQqWzkgmRKugwuIgIzkMiQQmJ4W1Ktsl0j30WpVei6Ulnj0sLPAizt69e8nMzOTOO+9ssw+fz8eXX37JsGHDuPTSSzGbzUydOpVPPvnknNd2Op1YrdZWr/aYnhpOqlgTrltQyCU8tz4Pu8vLa7dntBI+wEXpUbxw80QiDSoOl1m4OD2K/7doFFeMi+GKsbEkhHVPkVORrtNl8ft8Pu6//35mzpzJ6NGjA7ZZuXIlI0aMYMaMGW32U1VVRWNjI3/9619ZsGAB3377LVdffTXXXHMNmzdvbvO8FStWYDKZ/K+EhIR2bZZIJCSLo0234PPB7KGR59wZkUgkfLZ8JnfMTKGguhG1QoZKLkMpl/aLEtXBTpdX+5ctW0ZWVhbbtm0L+LndbmfVqlU8+uij5+zH52uZgl911VX8+te/BmD8+PFs376dl156iQsvvDDgeQ8//DAPPPCA/73Vau3QD4DN0T3FNYMVjUKGQS3nj5eP4Jf/3cfExBAEQWhTzDEmDaHpSpwe8VGrv9GlkX/58uV88cUXbNy4kfj4+IBtPvzwQ5qbm7ntttvO2VdERARyuZyRI1vHf48YMeKcq/0qlQqj0djq1REqgzjctjNEGlRMTAxpVUEoQq/itulJPHxZOgtGR7P7D/OobnTy6/czz9mXWiFrtwKSSO/TKfELgsDy5ctZs2YNGzZsICWl7cKLK1euZNGiRURGnju0U6lUkpGR0WrLECAvL4+kpKTOmNcuPp9AuSV4xD85KbRL58WHavjbdWNJCNMyLj6ESSf7mT00gm35Nby1/QSNTg+RBhVf3XcBo2JN/gxHIgOHTol/2bJlvPvuu6xatQqDwUBFRQUVFRXY7a1TVuXn57NlyxbuuuuugP2kp6ezZs0a//sHH3yQ999/n1dffZX8/Hz+/e9/8/nnn3PPPfd04Zbapsxip9EZPNN+qUTC7xekd2qdY1iUnjnDI8kus/L1oQo251Wz90Q9EgmcqGvGbFBhtbvZdbwOAINawbQh4ZQFcdqygUqnnvlffPFFAObMmdPq+BtvvMHSpUv9719//XXi4+OZP39+wH5yc3P9OwUAV199NS+99BIrVqzgvvvuY/jw4Xz00UfMmjWrM+a1i9UePMIH2FVYR7nVzs1TktiQU8nuwvp2z5mcHMbOY3WE65S4vD4i9CqSw7XMTTdzycgoEkK1qORS/vhpFqPjTEQZ1YyJN7Xq40BxA3KZhFGxpjauItIfOK99/v5ER/Y3P9hTzIMfHuxly/oH10yM42hlIydqm7B2cNHzynGx3D9vKC6PD5lUwrDT6hH+/J09TBsSzh0zz370EwSB745UMW9kVLfZL9IxOrPPH1S+/YFy8QULH+8rRS6VcMnIKMYnhFDaYKegupHv82v9bbRKGddPiiclQseqXUUsnZFMamRgv4i7Zw9pM0ffruN1JIlbqv2eoBK/ThXcSSU8PoGvsypYe7iCf900gcvHxLBsbhp5FTbqmt2YNApunZaEUi7l9hnJ59yLHxKh573dRTQ0u8/K17evqIE5w8Ucfv2doBJ/Qpg4GgEIAi3pxQVaVSD+4+UjUMpbRvP2nHBCdUpmpUUQG6Ce4YgYA7kVNkbEdGz7VaRvCKrcylOSwzAbVH1tRr/gWHUTx2qaMKjkmA0qpqSEtXqmL22w8+XBcqpsDtpaFhobH0KE/uzvc1JSKBtzq6hrclFhcdAURDssA4mgEr9PELhQTCndilFxRuqaXCyZnMDsYZEIgsD67EpuemUnf/smh2qbk70n2t8lOMUn+0u57J9b2ZhTxc2v7uTX72fi8Q2KNeVBR1BN+w1qBVllYi6+06lvcuPxCfz2gwPsK6qnqLaZXYV1uDw+vrxvFqNiTWw7WsPuwjpCNAqGnjY7OJO9J+p56OOD/lBpbbMbqUSC1e5GKmn5/kX6D0E18gNcPymwO3IwcmNGArdMS/S/X/VDEdvya3Cd9MP/29pcnv02l79/m8v1L+3gH+uPttnX//YUc+2L21vlSKhpdHLjlAQSwrSi8PshQSf+xRPiUMjEiDIAiQT+8uUR/3v5Gck1qm1OdhXWUd/s4uJ0M1eNjw3YT26FjT+sOeR/r5BJeHhhOl/96gJum57cI7aLnD9BNe0HCNMpuTg9irWHK/ralD7lJ9MSuXVaMh/tLeWidDM2h5s0s55vDlf6/fS1Shnv/WwaNqcH48mRWxAE/renmB+O12F3eXF7fUxNCee384ez4uscoMUH4OcXpvbZvYl0jKATP8D1k+ODWvzzRkTxh8tG8vKWAv550wT+8lU2t09P5kRtM6FaBXVNLmRSCb+aNxTAL3yXx8dDHx/k432lrfpbf6SKIRE6rp4Qx7GaJi5KFz37BgJBKf4Lh0USaVBRbQu+FN3p0Qb+fv1Y6ppd5JTbyC6z4vOBQiZlf3G9v+7gry4eygVDW++MvLAx/yzhn+JYTRPF9c28vjTDHwUo0r8Jumd+ALlMyjUT4vrajF4nMUzLWz+dglGt4JXNBaw9XMG32ZWUNtj58xfZNDu9jE8IQaeUcVG6udW5WaUWXt5ScM7+JyWFinH7A4igFD+0TP2DiWsmxrHugdlEGdV4BYFF42MZHWdEr5JjUMuJD9VwwdAI/n79OB65fASjYn/0zrPY3fz165yA2Y4j9CoevWIkaWY9D146nPRo0atvoBCU036ANLOB8QkhZBY39LUpPYpOKeOZJeO4dFS032VXIZMyKSmML+69gNe3HeeCoRHctzqTW6cnk2bWo1ZIKa6z831BDTaHm0OlVrbl1wTs/5KRZpLDtfzpipGMjDH53YNF+j9BK35oGf0Hu/h/cWEqC0bHtPn5T2e1hOQ+c/04DpY0UNfk4v99dpjsThQmDdUpGR5lQKMM7sCpgUZQi/+KsbH8+fPsQZtcMkKv4uapieds4/H6KKxtYs3+Eo6U29hfVE+Ty9uJq0jQq+ToVEH9pzQgCeo5mkmj4NJR0X1tRo/x8q0TCQ8QeAMt+/V5lTbqm90sfmE7r249zrb8GqQSCbGmjldKWr27iEMllvYbivQ7glr8MHgX/q6fFI9GcfZofLjMQkl9M7VNLp788girfijyr9BrFDIeWzSK6ya3nwL9FP7wYJEBR9DP1WakRhBrUlM2yLL6jo4zseVoNUMidagVMnIqrBwssfCnT7NwuH2YNAouGRnFG9uP09DcUqTU7vby+48O4u1AFN6QSB3J4ToyixsYnxDSw3cj0hMEvfhlUgnXTornXxvy+9qUbmVbfg1VNif/WJ/HULOB7HJrK1Fb7G4+3Fty1nkdEf5ds1J4YP4wfAJ8ebCMcJ2YI2EgElQJPNviRG0TFz69qWcMG2RcOzGep68bK1bY7af0WqHOwUJSuI4pKYGLjQYDBpWcxA6kOLtmYhxPXTtGFP4gQRT/SYIhzl8hk5AQpiFUq0CtkKKSS0kO1/LcDePb9cc3qOT8+arRyNvI2Csy8Aj6Z/5TXDE2lpJ6O//94cSgTfEtCDA5KYwQrYJfXphKdaOTkTFG1uwv5fs2PPhOcfnYGPTiXv6gQvzXPIlGKePXlwzjFxem8s7OQv69Ib/DxS36E5ePjaG20cnOY3VnfebxCazZ3xKVV2l18OCl6dz2+i5GxZqob277B89sUPHAJcN6zGaRvkGcw52BRinj7tmprH/gwgGV7FOtkPLHy0cwd7iZF2+ZxJAIHcvmpnLrtCQi9C0Vdy8YGgFASoSOrFIrW49WM21IOA9c0rJyHwiDWs5/75qK2dhxxx+RgYG42n8OBEHgnZ0neHptLrZ+mn46xqQmKVzL3OFmxsaHEBeiIfEc1XJyK2yEahU8+eURfnFhKlqljE8ySwPm59MpZXx0zwwxUm8A0RkdiOLvAJZmNy9symfltuMd2gfvLcYnhPDXa8fw4qYCPF4Bh9tLiFbJ9NRw5o+K8mfgCcShEgtheiW7jtfyhzVZNAfw5//t/GEsv2hoT96CSDcjir+bxX+K7DIrL24u4KtD5f3iR0CjkCGVEDAQR6uUcfGIKO6fNzRgvb2cCisKmZR3dpzgze2F/uMyqYSUCB03ZiRw56yUdiv39AesDvc5f+iCCVH8PST+U5Q22HnvhyL+t6eYqn6eCkwhk3D/vGH8fPaQs7bpahqdvL29kH+e5t041Kzn9wvSmT0ssl/H5guCwMbcKkrr7ZRZHMSHarhlalJfm9XniFV6e5i4EA2/vXQ4988byoacKlbtKmJTbnVfmxUQt1fg6W9yKahu5Nkl41t9FqFXcdPURMosDrbn11BmcaCQSXF7fWel8e5PbM6r5vcfHqTC+mM8xvQh4aL4O4ko/vNALpMyf1Q080dFs+t4HX/5MpsDvRzeqpBJmJUWQUF1E0V1zW22+3hfKQtHxzAuwURWqYX6JjdymQSVXMqoWCMJoVre2H6cJZPj0avl/daLz+7yct97+7HY3X1tyoBHFH83MSUljE+WzWRtVgUvbTnGgW7IEJQQpkGnbPknKqhuxO1teUJTyaU4PT4uGRnFn64YyabcKjbmHm63v4/3lfDghwf8UXzQks333ouGctv0aG6akkCF1cHY+JDztr2n+OJgmSj8bkIUfzcikUhYOCaGhWNi2FFQy4ubC9ieX9OpQpUSCcwZFsnVE+NZNO7HCjlZpRY251Uz1KwnIUyLUi71L+R1tBTW11ln1yrIqbCx/L19/OOG8Vw1Pq5V1V2rw42Elki/EK2yw/fQVdxeH4oz1iVOHbM63NTYnGc9XsWFaBifGNLquxLpGKL4e4jpqeFMTw3H5nDzfX4Nnx8o59vsCv/ofSZzh0dy2/RkRsUaAzrUjI4zMTrOFPDcxRPiUCuklNTbAahpdPHq1mMd3pEQBPjjJ1lcOTYWqVRCflUjh8sslDU4SInQoVXKmN0LDk8Wu5swrRKpVILPJyCVSsirtJFm1uN0+9iQU8XG3KpW59wxM5m7LhjS47YNRkTx9zAGtYIFo2NYMDqGuiYXW49Ws/NYLfuLGiiuaybCoOI/t0xkVGxgYXeUU0k6rQ43VVYnJ2qbAo70bdHo9LAhp4p/b8xvldR0/QMXkmY+e6uwu2l0enB6fHy8v5QpyWHsL64nNVJPVqmFVT8U8cXB8oDT/ZGxogNSVxG3+vqQU199T+ylZ5dZufxfWznff91rJsbx9+vGdWgB0OnxYrV7UMqlHSreUVjTRHyoBrlMSkOzixO1zbz+/XE25lR1KK7CpFGw79FLkPXTxcm+QNzqGyD0pAPNyFgj/7xxAtsLaqiyOonQq5ibHsnz3+VzpBNpuT/eV0p5g4OUSB3J4VqmpIQzLt50lu0Ot5eXNhewZHICeZU2ZqZFtPq8wuJAKgWtUu6PDpRJJdQ2uXB5fLy69Rhr9pV2yo16eLRBFP55IIp/EHPluFiuPG0h7PMDZRjUnf8n33Gslh3Hav3vZ6SGE65X0ehwE6pTMjUljP/3WTYxJjVfHSpn6YwUZqa17qPa5uR3Hx3k0lFRzBsRxeg4E/uK6lmzv5SsUis1jZ1zlhoSoeOXc1KpsjkwG8Sgo64gij9I2JRbRU2jkxszEtApZew8Vofd3Zn8/D+yvaC21fuccht2txeb00O1zYnd7WV9diVj4k3kVtjYnFfNtqM15FbaOFJu5R/rjzIixtipGciZ/GreUFIj9KLwz4NO+W+uWLGCjIwMDAYDZrOZxYsXk5ub6/+8sLAQiUQS8PXBBx+02e/SpUvPar9gwYKu35UIdpcXn0/A6xMoa7Cz90Q9d8xMobjOTlK4jicWj2bx+NhumTafqu5zqupxcV0zr249xoy/buC213excttxcittrc7pqPCVcik3TUnkwUuHc/PURC4fG8MTi0ejkkuJNIiJQ8+HTi34LViwgBtvvJGMjAw8Hg+PPPIIWVlZZGdno9Pp8Hq9VFe33od95ZVXePrppykvL0evD7xqvHTpUiorK3njjTf8x1QqFaGhHS/1PBAX/HqSvEobOwpqqW1sGYl/fckwtEo5x6obSQzTsmpXEYvGxWJ3e/l/nx3m+/xaGrspbFmjkOHx+drc1uwMt0xN5C9Xj8HmcLPreB1Ojw+jWoFGKSNMpyTKqEKrFCewp+i1wJ7q6mrMZjObN29m9uzZAdtMmDCBiRMnsnLlyjb7Wbp0KQ0NDXzyySddNUUUfxucqG1CJZcRfbIKz+kRcMV1zSScTNzpcHsprG1Co5Dx169zWm0TyqWSTjkqdYV7L0pDLpXywsZ8XN4fy6e9fOukVlWVHG4vn2WWsXhCHBUWB81uj5hv4DR6bbXfYmnxYw8LC5z5du/evWRmZvLCCy+029emTZswm82EhoZy0UUX8eSTTxIeHn4+5onQ4jgzNl7nf3966KtOJcfu8qJRylArZKRHGxEEgaUzklk6Ixm728vIWCNen8D857ZgO237TXeyKGegcGKFTIJPaL8GQFyIhnEJJm6akohBrWB8QggmjZz/93m2v81b2wtbiV+taPkha2h24fJ6EYSWLdOBEHrc3+jyyO/z+Vi0aBENDQ1s27YtYJt77rmHTZs2kZ2dHfDzU6xevRqtVktKSgoFBQU88sgj6PV6duzYgUwWuPKr0+nE6fxxhdhqtZKQkCCO/GdwylOuozQ6PcgkkrMq7maXWWlyeXhhYz57C+t57+5pHCq18NHeEoZE6jhSbiMpXMslI6OYM9zMN4cr+N2HB1k8PpZPMsv8/Vw/KZ6x8SYi9CpmDY3AoFbgcHtRK3683if7S3ngf5kIQKhWyT1zUhkaZfCnVTu9fWfvb7DTqRmw0EV+8YtfCElJSUJxcXHAz5ubmwWTyST8/e9/73TfBQUFAiCsX7++zTaPPfaYAJz1slgsnb6eSMfxen3CY59mCR/tLRZ8Pl+b7aptDuF4daNQZXUI7+4sFL48WCZUWuwdukZmUb2Q+vCXwkV/3yg8ty5XOFbdKHy8r1goqLJ1120MWiwWS4d10KVsDcuXL+eLL75g48aNxMcHznf/4Ycf0tzczG233dbp/ocMGUJERAT5+W2X0Hr44YexWCz+V3FxcaevI9J5pFIJS2ckn/T/b3vFPkKvIjlCR6RBxS1Tk7hsTEyHk4COSwjhtdsnt/j665TsKKilrMHBS5sLyCq14PH68PWDTEoDnU498wuCwL333suaNWvYtGkTKSkpbbZduXIlixYtIjKy8wEhJSUl1NbWEhMT02YblUqFSiVu9fQFyRE6Lh8bQ5Oza34CHWFMnInEMC0vbz5GerSBnAobNoebYVEGAEaJPv3nTadG/mXLlvHuu++yatUqDAYDFRUVVFRUYLfbW7XLz89ny5Yt3HXXXQH7SU9PZ82aNQA0Njby4IMPsnPnTgoLC/nuu++46qqrSEtL49JLL+3ibYn0JNU2J5F6VY+WOJNIJPzturGoFC1/orOHtbgLb86rptLqEBf4uoFOjfwvvvgiAHPmzGl1/I033mDp0qX+96+//jrx8fHMnz8/YD+5ubn+nQKZTMbBgwd56623aGhoIDY2lvnz5/PEE0+II3s/pTeca2RSCcnhuhZPwDIrK64dQ7PLi8cn8NWhltDo+SOjxMW+80CM6hPpt3i8Pl7YWMD7u4tY98CF6FRylv13H9vya0gO1zIpKYxlc1MJ14uDxCnEKr0igwK5TIrD42VYtIF/b2xZ/P3jFSMI1ymZm27mtulJ/PmLbLbn12BpFlN7dRbRL1KkX/Pb+cPJqbBy55t7SI3Uc7TKRkm9nZExRuxuLyEaBZklDZyoa+amKYl9be6AQhS/SL9GJpWgkEmZN9JMVqmFhaOjyS6z8s7OE4yIMWLUKHB7WoKXRDqHKH6Rfo8E+P2CdKptTvQqOSkROkbGtDzPXjEulr9+fYSRMeeXBi0YEcUv0q9xuL34hJZciAa1AkEQWDI5gdFxJr+b78MLR5yV2FOkfcQFP5F+jUImRXtanIFEImFIZEug0in/fp1KzhVjxdTdnUUUv0i/RiaVEKZrXTNAjN/vHkTxi/R7dCpR7D2BKH4RkSBFFL+ISJAiil9EJEgRxS8iEqSI4hcRCVJE8YuIBCmi+EVEghRR/CIiQYoofhGRIEUUv4hIkCKKX0QkSBHFLyISpIjiFxEJUkTxi4gEKYMmVvJUBnKrte0SUiIig51Tf/8dycg/aMRvs9kASEhI6GNLRET6HpvNhsl07ryGg6Zoh8/no6ysDIPBIJZyOg9OlTovLi4Wi5/0MD3xXQuCgM1mIzY2Fqn03E/1g2bkl0qlbVYMFuk8RqNRFH8v0d3fdXsj/inEBT8RkSBFFL+ISJAiil+kFSqViscee0yskNwL9PV3PWgW/ERERDqHOPKLiAQpovhFRIIUUfwiIkGKKH4RkSBFFH+QkZeXx1VXXUVERARGo5FZs2axceNG/+cHDhzgpptuIiEhAY1Gw4gRI3j++ec71PeXX37J1KlT0Wg0hIaGsnjx4h66i4FDT37fAE6nk/HjxyORSMjMzOyUbYPGw0+kY1xxxRUMHTqUDRs2oNFo+Mc//sEVV1xBQUEB0dHR7N27F7PZzLvvvktCQgLbt2/n7rvvRiaTsXz58jb7/eijj/jZz37G//3f/3HRRRfh8XjIysrqxTvrn/TU932K3/3ud8TGxnLgwIHOGyeIBA3V1dUCIGzZssV/zGq1CoCwbt26Ns+75557hLlz57b5udvtFuLi4oTXXnutW+0d6PTU932Kr776SkhPTxcOHz4sAML+/fs7ZZ847Q8iwsPDGT58OG+//TZNTU14PB5efvllzGYzkyZNavM8i8VCWFhYm5/v27eP0tJSpFIpEyZMICYmhoULFwb9yN9T3zdAZWUlP/vZz3jnnXfQarVdM7BTPxUiA57i4mJh0qRJgkQiEWQymRATEyPs27evzfbff/+9IJfLhW+++abNNu+9954ACImJicKHH34o7NmzR7jpppuE8PBwoba2tiduY8DQE9+3z+cTFixYIDzxxBOCIAjC8ePHuzTyi+IfBPz+978XgHO+jhw5Ivh8PmHRokXCwoULhW3btgl79+4VfvnLXwpxcXFCWVnZWf0eOnRIiIiI8P+RtcV///tfARBefvll/zGHwyFEREQIL730Urffb1/T19/3888/L8ycOVPweDyCIIjiD2qqqqqEI0eOnPPldDqF9evXC1KpVLBYLK3OT0tLE1asWNHq2OHDhwWz2Sw88sgj7V5/w4YNAiBs3bq11fEpU6Z06PyBRl9/31dddZUglUoFmUzmfwGCTCYTbrvttg7fh7jaPwiIjIwkMjKy3XbNzc0AZyV5kEql+Hw+//vDhw9z0UUXcfvtt/OXv/yl3X4nTZqESqUiNzeXWbNmAeB2uyksLCQpKakztzIg6Ovv+5///CdPPvmk/31ZWRmXXnop77//PlOnTu3obYjP/MFEdXW1EB4eLlxzzTVCZmamkJubK/z2t78VFAqFkJmZKQhCy9QzMjJS+MlPfiKUl5f7X1VVVf5+fvjhB2H48OFCSUmJ/9ivfvUrIS4uTvjmm2+EnJwc4c477xTMZrNQV1fX6/fZX+jJ7/t0xGm/SIfYvXu3MH/+fCEsLEwwGAzCtGnThK+++sr/+WOPPRbwGTYpKcnfZuPGjQIgHD9+3H/M5XIJv/nNbwSz2SwYDAZh3rx5QlZWVi/eWf+kp77v0+mq+MWQXhGRIEXc5xcRCVJE8YuIBCmi+EVEghRR/CIiQYoofhGRIEUUv4hIkCKKX0QkSBHFLyISpIjiFxEJUkTxi4gEKaL4RUSCFFH8IiJByv8H98g2AZ8qQFYAAAAASUVORK5CYII=", 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", 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" ] @@ -121,7 +151,14 @@ { "cell_type": "code", "execution_count": 4, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:56.754143Z", + "iopub.status.busy": "2024-08-16T20:43:56.753843Z", + "iopub.status.idle": "2024-08-16T20:43:56.758134Z", + "shell.execute_reply": "2024-08-16T20:43:56.757488Z" + } + }, "outputs": [], "source": [ "# Build query with characteristicNames and the AOI extent\n", @@ -145,7 +182,14 @@ { "cell_type": "code", "execution_count": 5, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:43:56.760304Z", + "iopub.status.busy": "2024-08-16T20:43:56.760117Z", + "iopub.status.idle": "2024-08-16T20:45:02.957061Z", + "shell.execute_reply": "2024-08-16T20:45:02.956465Z" + } + }, "outputs": [], "source": [ "# Query stations (can be slow)\n", @@ -155,12 +199,19 @@ { "cell_type": "code", "execution_count": 6, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:45:02.959639Z", + "iopub.status.busy": "2024-08-16T20:45:02.959283Z", + "iopub.status.idle": "2024-08-16T20:45:02.963210Z", + "shell.execute_reply": "2024-08-16T20:45:02.962635Z" + } + }, "outputs": [ { "data": { "text/plain": [ - "(15560, 37)" + "(16023, 37)" ] }, "execution_count": 6, @@ -176,7 +227,14 @@ { "cell_type": "code", "execution_count": 7, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:45:02.965393Z", + "iopub.status.busy": "2024-08-16T20:45:02.965039Z", + "iopub.status.idle": "2024-08-16T20:45:02.983668Z", + "shell.execute_reply": "2024-08-16T20:45:02.983158Z" + } + }, "outputs": [ { "data": { @@ -435,7 +493,14 @@ { "cell_type": "code", "execution_count": 8, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:45:02.985839Z", + "iopub.status.busy": "2024-08-16T20:45:02.985457Z", + "iopub.status.idle": "2024-08-16T20:45:02.990595Z", + "shell.execute_reply": "2024-08-16T20:45:02.990065Z" + } + }, "outputs": [ { "data": { @@ -459,7 +524,14 @@ { "cell_type": "code", "execution_count": 9, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:45:02.992783Z", + "iopub.status.busy": "2024-08-16T20:45:02.992437Z", + "iopub.status.idle": "2024-08-16T20:45:03.475062Z", + "shell.execute_reply": "2024-08-16T20:45:03.474478Z" + } + }, "outputs": [], "source": [ "# Harmonize location datums to 4326 (Note we keep intermediate columns using intermediate_columns=True)\n", @@ -469,92 +541,15 @@ { "cell_type": "code", "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "\u001b[1;31mSignature:\u001b[0m\n", - "\u001b[0mlocation\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mharmonize_locations\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m\n", - "\u001b[0m \u001b[0mdf_in\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", - "\u001b[0m \u001b[0mout_EPSG\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m4326\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", - "\u001b[0m \u001b[0mintermediate_columns\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", - "\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", - "\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;31mDocstring:\u001b[0m\n", - "Create harmonized geopandas GeoDataframe from pandas DataFrame.\n", - "\n", - "Takes a :class:`~pandas.DataFrame` with lat/lon in multiple Coordinate\n", - "Reference Systems (CRS), transforms them to out_EPSG CRS, and converts to\n", - ":class:`geopandas.GeoDataFrame`. A 'QA_flag' column is added to the result\n", - "and populated for any row that has location based problems like limited\n", - "decimal precision or an unknown input CRS.\n", - "\n", - "Parameters\n", - "----------\n", - "df_in : pandas.DataFrame\n", - " DataFrame with the required columns (see kwargs for expected defaults)\n", - " to be converted to GeoDataFrame.\n", - "out_EPSG : int, optional\n", - " EPSG factory code for desired output Coordinate Reference System datum.\n", - " The default is 4326, for the WGS84 Datum used by WQP queries.\n", - "intermediate_columns : Boolean, optional\n", - " Return intermediate columns. Default 'False' does not return these.\n", - "**kwargs: optional\n", - " Accepts crs_col, lat_col, and lon_col parameters if non-default:\n", - "crs_col : str, optional\n", - " Name of column in DataFrame with the Coordinate Reference System datum.\n", - " The default is 'HorizontalCoordinateReferenceSystemDatumName'.\n", - "lat_col : str, optional\n", - " Name of column in DataFrame with the latitude coordinate.\n", - " The default is 'LatitudeMeasure'.\n", - "lon_col : str, optional\n", - " Name of column in DataFrame with the longitude coordinate.\n", - " The default is 'LongitudeMeasure'.\n", - "\n", - "Returns\n", - "-------\n", - "gdf : geopandas.GeoDataFrame\n", - " GeoDataFrame of df_in with coordinates in out_EPSG datum.\n", - "\n", - "Examples\n", - "--------\n", - "Build pandas DataFrame to use in example:\n", - "\n", - ">>> df_in = pandas.DataFrame({'LatitudeMeasure': [27.5950355,\n", - "... 27.52183,\n", - "... 28.0661111],\n", - "... 'LongitudeMeasure': [-82.0300865,\n", - "... -82.64476,\n", - "... -82.3775],\n", - "... 'HorizontalCoordinateReferenceSystemDatumName': ['NAD83',\n", - "... 'WGS84',\n", - "... 'NAD27'],\n", - "... })\n", - ">>> df_in\n", - " LatitudeMeasure ... HorizontalCoordinateReferenceSystemDatumName\n", - "0 27.595036 ... NAD83\n", - "1 27.521830 ... WGS84\n", - "2 28.066111 ... NAD27\n", - "\n", - "[3 rows x 3 columns]\n", - "\n", - ">>> from harmonize_wq import location\n", - ">>> location.harmonize_locations(df_in)\n", - " LatitudeMeasure LongitudeMeasure ... QA_flag geometry\n", - "0 27.595036 -82.030086 ... NaN POINT (-82.03009 27.59504)\n", - "1 27.521830 -82.644760 ... NaN POINT (-82.64476 27.52183)\n", - "2 28.066111 -82.377500 ... NaN POINT (-82.37750 28.06611)\n", - "\n", - "[3 rows x 5 columns]\n", - "\u001b[1;31mFile:\u001b[0m c:\\users\\jbousqui\\local_gis\\python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\location.py\n", - "\u001b[1;31mType:\u001b[0m function" - ] - }, - "metadata": {}, - "output_type": "display_data" + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:45:03.477670Z", + "iopub.status.busy": "2024-08-16T20:45:03.477277Z", + "iopub.status.idle": "2024-08-16T20:45:03.515556Z", + "shell.execute_reply": "2024-08-16T20:45:03.514940Z" } - ], + }, + "outputs": [], "source": [ "# Every function has a dostring to help understand input/output and what it does\n", "location.harmonize_locations?" @@ -563,12 +558,19 @@ { "cell_type": "code", "execution_count": 11, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:45:03.518083Z", + "iopub.status.busy": "2024-08-16T20:45:03.517671Z", + "iopub.status.idle": "2024-08-16T20:45:03.521525Z", + "shell.execute_reply": "2024-08-16T20:45:03.520969Z" + } + }, "outputs": [ { "data": { "text/plain": [ - "(15560, 42)" + "(16023, 42)" ] }, "execution_count": 11, @@ -584,7 +586,14 @@ { "cell_type": "code", "execution_count": 12, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:45:03.523731Z", + "iopub.status.busy": "2024-08-16T20:45:03.523381Z", + "iopub.status.idle": "2024-08-16T20:45:03.528951Z", + "shell.execute_reply": "2024-08-16T20:45:03.528434Z" + } + }, "outputs": [ { "data": { @@ -610,12 +619,19 @@ { "cell_type": "code", "execution_count": 13, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:45:03.531092Z", + "iopub.status.busy": "2024-08-16T20:45:03.530746Z", + "iopub.status.idle": "2024-08-16T20:45:03.534633Z", + "shell.execute_reply": "2024-08-16T20:45:03.534173Z" + } + }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 13, @@ -631,7 +647,14 @@ { "cell_type": "code", "execution_count": 14, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:45:03.536777Z", + "iopub.status.busy": "2024-08-16T20:45:03.536420Z", + "iopub.status.idle": "2024-08-16T20:45:03.545159Z", + "shell.execute_reply": "2024-08-16T20:45:03.544694Z" + } + }, "outputs": [ { "data": { @@ -641,7 +664,6 @@ " 'LatitudeMeasure: Imprecise: lessthan3decimaldigits',\n", " 'LatitudeMeasure: Imprecise: lessthan3decimaldigits; HorizontalCoordinateReferenceSystemDatumName: Bad datum UNKWN, EPSG:4326 assumed',\n", " 'LatitudeMeasure: Imprecise: lessthan3decimaldigits; LongitudeMeasure: Imprecise: lessthan3decimaldigits',\n", - " 'LatitudeMeasure: Imprecise: lessthan3decimaldigits; LongitudeMeasure: Imprecise: lessthan3decimaldigits; HorizontalCoordinateReferenceSystemDatumName: Bad datum UNKWN, EPSG:4326 assumed',\n", " 'LongitudeMeasure: Imprecise: lessthan3decimaldigits',\n", " 'LongitudeMeasure: Imprecise: lessthan3decimaldigits; HorizontalCoordinateReferenceSystemDatumName: Bad datum OTHER, EPSG:4326 assumed'}" ] @@ -660,7 +682,14 @@ { "cell_type": "code", "execution_count": 15, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:45:03.547448Z", + "iopub.status.busy": "2024-08-16T20:45:03.547101Z", + "iopub.status.idle": "2024-08-16T20:45:04.282765Z", + "shell.execute_reply": "2024-08-16T20:45:04.282031Z" + } + }, "outputs": [ { "data": { @@ -674,7 +703,7 @@ }, { "data": { - "image/png": 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", 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DXQTAusIvv9uIDw4U4q25pqNFmW7lNCeD2jb6tQzbu1zLfkqYpFAiCfXzwCszh6ln41d2G04/xoYVceGYER3Ci7MG3W0NAZUW+bWESFrtJj04GEN6+xh1KjlZXIN6htYSTf6VdR1PTw4zfeB9Hh8fhk9+s36dv9TcEvzt4UjKJB2aDjlBPhL0lkpQQdPNWHMyOFlML6UbAAyW+dA+VheHFv6lk8LxQfpl2kt/AfSX4bfq2njpiznyrjPZ1pQ1tKPWgBeZLnGDg0yaHvmwUHx74jYGBHriZo3x73hkP1+smjrYJoRfSahSosf09dNypsosLNdzyDEVUAZQTwbjBvjT7g+XKtMOLfxiNyFWTY2gVbHG38sdKYtG6Alnf39PFJU3ce7L/z02ElOHBnNuRxOm25oAbzFvaaL4slDcqmnDQ5EyHL5CrTsY2c8X+5KmctJq882nmVfRqrHc1q3ORNJw/zMvsQitOv0n9SZUk0HezTrafZFxyFbl0MIP9FRMMWTn7+XpjmfiwpE0fQjl8vbTP43hxYHj95Ja3oWf6bYmxM/ToL2fjgJSa1nrLUGIrwfnyscEgIkDA/DFE2Pxzr4LOFRYhc5uJQYEeuJvMyIRHyUDoNJq2wqtOvtsKsEHVPcmAODn6Y4vnxqH30tqARDqak2Gvmcmq6qBQd60j9XF4YUfUA0Ar86KNGkKo8LHww1hAZ64Xct1+c+/kYrJtibUr2f/vukpw0FACTGhlBV9s65UsFrW0uFMaR1WxQ/CQ5EhyL1Wi7rWLhSWNeOZbWfV2yUuWm1rQjruuImE+OvDw2idQ9ePRMAwO7AuTiH8gGoLsGKqdrw43Yip/3tsFOeUUEeLqtDQ1sVrTXeRUIA5I0Kx/4JpP2/NGd1YEBCV2fD99MuUCYDJZa3bfRs8W7zFIqNpyS1RYt3cMJnNu2k6Ms2NCeVUDdhphF8XQxFTb86JQmVju9asNz4iAAHeYk7KFfm9RsjvNWLbqVuYGS3DlmWxvPefCVQRjobMhoYyPpDL2iAfMfr28kTerXpWfVk4pi/e+Pmiw4TnUkFHR9LWqcBjm46jsIyejqm3LzdPU6dJ5lHb3IklX51AZVMnPN2FKGukp/kW3s/tN6qfP2+ecQA4DQAZ8jLGs2EvL3fkvT3T4Bans1uJyOSDrJ2iAjxFCO3lhUs0H1wSb4kIXz31BzyZ+ju7C1uIJ2PD8P2Z26zO9fdyx1kD3z25+vwgvRDyu8wcyQK83XHmLe12zZbA016JfT8TY9/PxNXKFtS3ddEWfEBl2vkyuwTn79RhdXyE6RNokllYiWNXKrXCeenU4FMoCaz54Tzj69W3duGUEfsxV2/I2jYFY8EHgH/8v1GobrHtlFsCAG8/Mpx1AtW61i5kFurnhdQsvcZU8AGgtqWLU90+h1/2x76fiapm9st1ki05JbiyYTZG9euFV3afR4eCe4DJ09+cUSu0ANBK3PDSrnN6ZiO6nLxRjbgh1CXB2HpDsiWUpVOLNSAAfPLbFSyJ7Y/PDl2ltJQYGzcFUP22M6N7QnD5yh51t64VALtwcIcW/trmTl4EH+gpt7xi6kDcrW/HB+mXeWm3zIhCq1zDNZfUwh+godwzjOF5i403JBuGhUix7pHhWsrV1Fz+8iOYi63HSwH0WDg0zXsB3mLUGNEHaVbXnTQokNfsURmXyvHHP9D3lNTEoZf9S746wWt75Oz49ORwXts1hG5N9m0nSzk9MMa89pZOCrdIFuDx4f5aWYbaOhU4dJl+Fh9r09DahfrWLrwyYwg+XzIaO1dNxNtzo2idS2r8+UxBVt7A3gTt0MJf2cTPrE9Czo5iNyEeiuTXYccQmrMGl6W5QADEhhv23CO9Ic3Nm3O0g2JsyXmHDuTgu+vMbcwb2QeTBgUixM+T1rmkxp/P5C1+nmLW5zq08Muk7L8YXXTLLa+cOoi3tulwqLCc09KcIEy7ja6dE43V8RF6KwChALwoO2dGy/R8HEprLKtr4AtyQAZMV1MiE8KQbtN8Jm95dgq9WgdUOLTw73p2Mm9t6ZZbJn9wS5FWcBdPTBgAAYel+UF5mUErAsnaOdG4smE2kudGYdmkAUieG4UrG2ar3aTZ4iYENj/1B73P7am4hi6kazPT6rp8lV4TCoApw9ivQB1a+AN8xAj24Wf2v1Gt7V5K/uCWKpZT29KFgtv1WDmF/Qz83cmb6oo2xrK/kt6Q7y2IwYqpAzl5kZF0K6F33ZT0QhTyEDRlLcgoSYWSgJ+nqlyYv7f280ZVXVdzsODCJ4+N5BQW7tDCDwBn3p4JP0/uRo3MwkrsL7in9VlCTCg2PjGGc9t0OVRYjrfmRmNmtIxTO6QVgWn653F92QeRAD2JRTLkZZxTrNkCAd5iLVv91uOlqG3pRIC3O1bEhWPnqonIfX06ZeQemVORy+qRSz4FwAmEHwDyk2fBk4c7ffOXi3pLZn9vfpN5GiOt4C4USgJblsXi8z+NZt2OrhWBLn2CuOenJwCs/fkivj1BL6mqjZQhpORWbStlbv3ali6kHi/F8etV2Jp7A+/slSM15wY6dXz2E2JCkfv6dHy/cgLY1Djl6pvhFMIvEgrwYHRvzu00tnfreVRZsniEpkfXgjF98R8Oqw5NKwJd+vtzm/lJ6lq7sP2U6Zp8AOApFuHMmzMQwqPylg+EAmDH7zeNml6/OFKMD9Kv4LuTN7HhwGVEJh9EigHrxqzhIYz7wNU3w6GdfDS5zNPe8ocztzBugL96H2zpajiag82ckX2wWSjgFOBDtkcV4QhA6zM+a8TfpBki3dqpwPWqZpx6ayYUSgKfH7qKr3JuoL3Luim8lQRQwdCUTLqKAyrFaoa8DG/8fNFgPgBTcAnnBZxE+Fd9dwYl1fyYlNIK7mHv+XtYNTUCa+dEqzW3lqob5yXQXqxxTcctk3pQRghSebJZC3KAyiwsx7+zrtt9pN+WnBKM6OOHJIbZfTUZE+bHWRHr8Mv+tk4FMgv5rVBLjuAp6YUW1/p/lKntVsw2HbcAQKC3GL9dUkUI6g5e9fc92WwBmdTD6gVV+URJAGt+ZB6cpclfZ9FLxmoMhxd+c3qQbckpQWe3Eg8MlSF+aBAvJjFT3KxpQ2pOjxLpxPVqVqsOAkBNSye+OUFv720tSOeYUzdqeFtd/WX6YPTy5CcLEVu4lHvr5eWuTp/OBYdf9h8xkBiSD5QEMO9fObha2Wy2a+jSTQAbDvATVGQPjA7zQ9KOfGRf48f/f2a0zO63Ds9M5scN26Fn/s5uJe7Um3cvbknB5wNPd/v6yQ/KK3BQXo6WDu7Ze0UCVeENexZ8APj00FWTjlp0sK8ngSHbTpZauws2hQBAm5W15NbEXSSwmGLW3LB11NLEoYXf0gkqbJ1pw6gTeTgL7d32Puf3wNZRSxOHFn5LJaiwF5ZPNH/IrgvLwcZRSxOHFn5LJaiwFzKvVFg0EtFSBHs7vN7aKGy9TB1a+NkkqFgS2w9ThwThqQn9IXawb+dmbSuSaWadsQcEAEJ8Jahq6bZ2V6wKWy9Thx8y186JhpIArQiyGVEyfPTYKPX7KUOCHKJgBEl4oJdFA5HMCbmgmzI4GD/l37FqX6xJKM3ailQ42NxGzbSh9EJgde2nCTGh+OPYvuboklV4c060RQORzElvXwlenjEEFQ5yP2wxVlvRFIyEPyUlBbGxsZBKpZDJZFi4cCGKioq0jikvL8fSpUsREhICb29vjB07Fnv27DHZ9saNGxEeHg4PDw9MmDABp0+fZnYnRjhxo5r1cW5ujqE0IFNoWToQiU98JCKsiAvHKzOGAhDg00PXkHON3m/raIjdhNiskySEKYyE/9ixY0hMTMSpU6eQmZmJrq4uzJo1Cy0tPVluli1bhqKiIuzbtw8XL17EokWLsHjxYpw7d85gu7t378aaNWvw7rvvIj8/H6NGjcLDDz+Mykp+vPPO0NSGZl0u14u5vsqiEIWtoVkdaHxEAOcyT9Zi5ZSBIKBycuFaHZhvyDx9Z96cwWk5LfUwvRMfN6AXLr+XwEnwAY7luqqqqiCTyXDs2DHEx8cDAHx8fLBp0yYsXbpUfVxgYCA+/vhjrFy5krKdCRMmIDY2Fl988QUAQKlUIiwsDC+++CLeeOMNWn0xVKaITWmr1fER6px1D35yBCV2lGTyr9OHoKK1A6U1rQgP9KIsDMrmO3FhGHJtSKbr+uXsHbz8E7vAnU8Xj0KIn6c6jDo61Bd//bEAt+ra0N/fE5/+aQx8jAwQTMp1cVL4NTQ0AAACAnoUDpMnT8bu3bsxd+5c9OrVCz/88APa29sxbdo0yjY6OzuRl5eHtWvXqj8TCoWYMWMGTp48afDaHR0d6OjoSf7Y2Khf7oiMBGOKZsy1uwWCdfjk5M1afL9qotFjEmJCsfmpsXhx5zl0cQgwcaEiRKey0tnbxrMkG2/LU11fIf1CGR78x1F1gdii8iZM+ugwUhaOwLzRfTj3m/WTrVQq8fLLLyMuLg4xMTHqz3/44Qd0dXUhMDAQEokEq1evRlpaGgYPHkzZTnV1NRQKBXr31s6007t3b5SX69c3I0lJSYGfn5/6FRamX7WES3EEMmLv0THcv2RL0thOLww3ISYUVzbMxtanYxEVwk+GHmfDy11Emafv/J16xm3ppvf+4MAlvLAjX68ydFN7N5J2ncPKb7nrxFgLf2JiIuRyOXbt2qX1eXJyMurr63Ho0CGcPXsWa9asweLFi3Hx4kXOndVk7dq1aGhoUL9u39avoMpFs60uzzXFsvn5uRLT1xed3UqtsF9dPQaJSCjA9CgZDr48DaUfzcW2P4+3cG/tm37+HlrVh0h8PZiFC+um9/7gQCG25JQaPefQ5Sqs/PYMo+vowmrZn5SUhP379yM7Oxv9+vVTf15cXIwvvvgCcrkcw4cPBwCMGjUKOTk52LhxIzZv3qzXVlBQEEQiESoqKrQ+r6ioQEiI4bxmEokEEolxxRVXzXZpTQvEbkKsjo+grFtvi9S2dGJY8kFoanI+SL+szjxkjMmDgxDq54Hyhna7j3zTZECgJ27WsC9rZQhDdSGenTIQxxkUH9XcNqRfKKOd1fjQ5Ur8ev4eHhnFbnXKaOYnCAJJSUlIS0tDVlYWIiK07eKtrSrFmFCo3axIJIJSST37iMVijBs3DocPH1Z/plQqcfjwYUyaNIlJ9/TgWhyhuKIJJ4tr8FpCFK/luc3Jb5cqoavC1cw8ZAy+8slbA8H9178Wj8JTE/pjRF9fxA0KROqT43DLDIIf7CNGgIGaEFOGBZtM7OIuFODTxaO0tg0KJYE30y4w6sdbafoZpenCSPgTExOxfft27NixA1KpFOXl5SgvL0dbm+rLjYyMxODBg7F69WqcPn0axcXF+Mc//oHMzEwsXLhQ3c5DDz2k1uwDwJo1a7BlyxZ8++23uHz5Mp5//nm0tLTgmWeeYXVTJFwf5hMldeoiF2P6++Pq+7Px1pwozIrujYWj++Av0wfbdGppXUg9hjHIfPK9pfZlDiSLY4jFIhy+UomLdxtxvLgGK77P430VE+wjxpm3Zxr8u0gowL+WjDbaxr+fGINHx/bT2jacLqlFfRszV2WqjNJ0YbTs37RpEwDoae6//vprLF++HO7u7khPT8cbb7yBRx55BM3NzRg8eDC+/fZbzJkzR318cXExqqt7nDP+9Kc/oaqqCu+88w7Ky8sxevRoZGRk6CkB2ZAQE4qXZwzFp4eusm5Ds1T2qviBWBXfUx8tMsQXa34oQLsJobIFNMuMGyMhJhQzo0Pw/zafQP6terP36605UYgO9UV1SweOXKnELzrFUYwxOyYEyyaFY3xEADILy3mpea/LUJk3Kps6IZOKsevZyQZnfE1Ii8o7v1xEZXOPElbm4473Fo6gtNEfKjSs4DYGW90WI+Gn4xIwZMgQkx59paWlep8lJSUhKSmJSXdoEx7ELbSXgGpJuf7XQkyP7I28m3WobGpHaXUrvj5eYheCT0I3x4FIKMDPL8Rh3r+OQX7PvNmKZL4SxA1R5RqobGxnJPwJMSG817zX5IeVkzB+MDvfeXIQPV1Si/LGdtQ2dyDAWww/TzEUSkJLUZghL0Pq8VJW13EF9hiBD5dWMnY65t0MTskXrQ3THAePjgmD/J55cwZq/j5BPsy2G+S5fNa814St4JOIhAI0tHXi/zKuaPUvVEPJ19mtxJtpclbtS0QC1oE9TiH8pOKPDy22PQs+AMZ7eXNmQxJAtVfXfHhvMbieAMC4Af4AzFM5Kd/Ivp4uGfIyyq0IuZV8Nj4CP+bdQW0LuzTpHz/KvlinfbmvscSetdh88+KuApN53xRKAieLa7C34C66urgnzqSCqnR1hrwMnx66RrsNAsCmo9cB8F85SQKgqKIJewvumixrbghjWxHi/uvL7BLWgj8gwBML/9DP9IEGcIqZH+jRYnMpbeUIEAD+9tN5PDBUpufzD4Cyeo858HQXImXRSLXii60r9tfHS5E0fQivqzsACPDzwONbTqnfh+q48NLBXFsRQCX4x16bzqkNp5j5SciqqDtXTcSnfxqNOB4KH9gjTe0KRL+boWf3J5eolhgcW7uUeGl3AVZ9p/JSYyso9W2q4qWaqzuu5lcBoNcXNtlyzbEVEQuBz/44irPgA04085OIhAJ14ITMR8LIE8uRIHSKRlqrHFZmYSVWfXcG80ayj6EghYyP1V1vqZiyAKemxWdmdAitfTafW5EVceGYER2C8REBvBVMdaqZX5eJgwLVBSmdFdLxx5xLVFNkFlaiF0N/eE00hYxc3bFhXB9Po5V3mWbL5ephCqjqKW5+aiySHxlOGUfABacRfk0lFqnAEQkF+GjRCGt3zaqQjj/WTu+VebmCcf083Ug4ErYCsix+GK3j6H5XxrYidHoY4O2Ok2sf4py0wxBOIfwZ8jJM+TgLj285hZd2FahddjPkZWpPrBA7zW7DB6U1rahu6jB9oBm5WduKZ+KYx09Q5bAzFcNgiJdolsxmspwntyIhOinTQ/w8sDo+Qh2ToAn52YePjjBr8VdOmXxsCWOZfAy5fArQk31FoSTwzfESuy6C6eUuhK+nO8obmQmy1EOEpnbTJj0hAHP5Mi6d2B/J84ZjzHv/Q0un6b4Y0r53disRmXwQLGNdjEL6JeS+Pp3x6kKhJHC6pFadoYfcu1NZV9hYFkgslsnH1jGlxCKgrcBZHheB/+aW2K0pcM6IUHz8x1E4XVKL49er8cWR67TOoyP4gPkEHwDu1rfhgU+O0BL8V2YMQdL0IZQCuO1kqdkEH2CfLVehJFB4rwE3a1sxIMAL4wb4QyQUaLkA6w4M5sahhZ+OEotU4JDKlHcfibbb/HZxQ4LV1oy6lg4IBTCLIJiDrCumS3D38nLHR4uog2JIzOWRqJuqiwkp6YXYklOi9Vu8f+Ay5o0MwYzoEIsKvCYOLfz36ug9CKrjVOa/hJhQ/DkuHFtZBllYkxBf1b4yQ16GxB3nHCYhh49EhE1PjMPkIUEmBcQc9Rm/fToWU4YFm7y2QkngxPVq/Jx/By2dCsSG+6O8sR2puaV6xxIAfr1Qjl8vqCL5uCz12eLQCr8CmrnUdI+bGW04g5Ct4uEmgPxuPdo6FbTs9Usn9bdIv/iguUMBNzchrZnRHPUZDxVVmLx2hrwMI9f9hqVbTyOt4B7+V1iBD9KvUAo+FXyU3GaKQ8/8dFWZuhlsx0cEQObjrhWHbeu0dxP4IP0KPjx4hdZ9hwfYV9JOuuY1sj4jn2nXSk2kbucjFTr5k72ZdhFtXUr4ebhjx++luF3fTitlNxscWvgFNGeAXWduo6KxHV8/o0pgKRIK8N7CEXa596c74AV4izn7wj85PgxFFU0ABBCAwJmb9SxbMo2mec2Q5pyEzFWou89mS3ig4a2EQklg3T52pkUqalu68MruAq3PisqbELPuN63Pkqb2wV/njuF0LYc29e05exuv/kQ/J5qvhxvOvTNL/WCVVrcwijKzJ3aumoiGtk7WA1yojsnrZHGNViAMX+ia15iYxjq7ldh2slStYV86KRxD3z7IuA+X30ugDIICzHffdCn9aK7We5ep7z59/JkpfxrbuzHkzXSzmrRsAdIrLpNl2igAiBsUiP0X7qln3nED/CEAeFUy6prXTMXGb9KpXSd2E+qlLCv9aC7C3zjAqB+GBB8wT/AOE8LfOKA3ANDFoRV+pG81Exxd8AGoXU7ZhNCS/JR/V8tbctPR65wF30eiLWRkUk7NbDeGYuMB1f10div13Lh12fzUWEb9MjZYsM27xyd/P2C4DqYxHHrZD+B+AQT7yLlvCdyEwPUP5/K6XOVrxn9h2iBMHRJM6QX3ZtpFWkkvArzdtY7T3RIY8/g0he4M29mtZLWNMAdk35gs+x165lcoCezJv2vtbtgUZPAMn8tVvmaPSQP18yuQwko3243ucZomNK5hy/tO3dJ6v+1kKcuWbAOH3vOfLqnVq3Xm7OxNnAqA/7RXXPEWi/C3ny5old4O8fVAe7eC0+CiGYcv9XDn5Lr9l18uYv7EHv+I/8uw3zgQwMFnfroefs7EY5uPI0NexkusOZ+0dCq0BB8AyhvbUd/K3deCjMM/yWPilrn/ykGHedIbMiZpqgXKddkb5ziUSnZUyhs78Pz2fGQWluPdR6Jpzaq9vNzx1pxIs/QnxFdiwYQq/GxQ3v+1EJfu6ZeEtxZs7f0OveyvsHKMui2z/tdC5L4+Ha/MGGLSl6G+tQv1bV16yjSmhPp5IHluFPy9JWqlnpIg8OR/f2fdJqDyz2hsN13matLAIOzJv8tp6d/ZrcR/j9uOArn4wzmmDzKAQ8/83mKHHttYQy6DT1yv1nNtNsTGI8WcBH9mlAyvPTwM/t4SjI8IwILRfTFpUCCqm7kN0AHe7vj9zRlGtzBkxp+JgwIxfxT7wJl/zh9uU0q+zU+N5RQJ6NDC/9hY9jnNnYFlW0/TjvnnSublSrzyw3mtLEoAe8WjZrYbT7HIZLqsdx+JRmZhOSef/0WTw81axIQJ80b05hwB6NDCP3lwEMQiW1Fp2R5cd8DThgbBy4j3myE0zW91LK0xmg5AgPF0WZueGouZ0SGcfPBJO7o5QobZsP9iBecIQId38vnrD+fxU/4dK/bMceHi3CMA0NtXAkCgp+U3RtKDgzBpUBBAANUtHXqBPYaCfnKuVmHp1tOM+/nP+cOxaHK4+r0tOfboxlcALt9+LeKGBLmE30xwtb8zzTUIAC0d3fjrj+cNBvZo1mUgSUkvxFcMlvtPT+qP9QuoszqL3YTwkbihucO0gtHcaGahYoNDL/uBnuw2LhyDr0/cZFRNJyW9EF9mlzAaqL49ecvoknriQH8GrZkXLp6aDi/8bIJ7XNBH6uFmdUchzcAehZJQ12jYc/Y2vmIZ10G2RcVnf2IWGGROuHhqOvyyXyQUYN7IUFdwjxkQCoBnJoXjXywsBgIAnmIhWjv5iaMkzZdfZF3HrjO3OGdg1l1S6+oSBgR44mZtGw89ZwdVeXOmOLzwK5QEfspz7fnNgYe7iLXgEwBvgq/Jp4eu8tYWuaS2VOViprBNI07i8MJ/uqQWdTz4h7vooUd42Tm3y6RiVDZ30k45Zi1kUg9OIcDmQigA/vPkWJed3xTWzrTiKPh6iODlrrLpsxWEXp7u+H7lBKycOoiR4If6eeA/T4y1aCCSr0SEcQP8rVK52BR81WJw+Jnf1kJX7ZVGmlV9jFHf1gWhQIDbNKMtpw4JwgvTBqtt9UIh8Pz2fD3/Ar7ThwFAU4cCa34osLmlPglV2jKmOPzMPz4iwKmLcNoalU3ttL3kpg0N1ipLbcyL75UZQ3jtJwFg/wXL5dBngzGLBB0cfuYXCQVYN3+4XabhdkRkUg/MjgnFB+mXjS5fhQJVAQ5dDNW2A1Qp2LmkIrcnSOuGy8nHBGQZbjZ+6C74gYysGx8RoC6sYYxVUyMMlqcmvfjIyECRUKCus0hey1lwOfnQICEmFBfXPYyXHhoMT3dnejysD1WF29cSovDIyBA9QRUKgNXxEerCG0wwtC1wZLjotBgJf0pKCmJjYyGVSiGTybBw4UIUFRWp/15aWgqBQED5+vHHHw22W1FRgeXLl6NPnz7w8vJCQkICrl3jv1iGSCjAKzOHQb5+NnaumojPl4zGtmfGO9VMYQ10I/Ay5GWY8nEWfr1Qrl6ie4lF+OPYvriyYTYrwSdJiAlF7uvTsXPVREwdEsRD762Hqeeyl5c7JycfRsJ/7NgxJCYm4tSpU8jMzERXVxdmzZqFlpYWAEBYWBjKysq0XuvXr4ePjw9mz55N2SZBEFi4cCFu3LiBvXv34ty5cxgwYABmzJihbpdvNJeNU4cF49l440tQF8wJ8HbHP//fKCTPjcJrDw+Dn6cYCiWhtpvratHbOhXYk38XWVcqOF+b/H2nDQ3m3Ja1+OdjI+BnIr0Z10mLU0hvVVUVZDIZjh07hvj4eMpjxowZg7FjxyI1NZXy71evXsWwYcMgl8sxfPhwAIBSqURISAg+/PBDrFy5klZfmIQyakK6bW7JKaZVI96FccgH8tn4COw7X6Yl5CG+ErR3Kw0m5dQtzQWYrstnjM5uJSKTD/JmF7cUb82JQkxfP1p1FXaumqil8LNYSG9DQwMAICCAeumRl5eHgoICbNy40WAbHR2qsE4Pj569i1AohEQiQW5urkHh7+joUJ8LqG6aKVRumz4SIYK8JSi1ot+2PbB0Yn9MGhiIDQcuawu4nwfmjwrFVxSRdKZCeHU12Ezq8lFhjoq9luDx8f2x+VgxrWO5KPxYC79SqcTLL7+MuLg4xMTEUB6TmpqKqKgoTJ482WA7kZGR6N+/P9auXYsvv/wS3t7e+PTTT3Hnzh2UlRm2s6akpGD9+vVsu2/QbbOlQ4mWjjasjo/A3oIyrUQToX4eeO3hYUi/WIZLZY24V2/8ixcI6FfNtTcEAgHmjOyDh2NCtWbmcQP88cAnRziZ2yqb2hnX5TME3xV7LUH8J1m08yVaJaovMTERcrkcubm5lH9va2vDjh07kJycbLQdd3d3/Pzzz1ixYgUCAgIgEokwY8YMzJ49G8Z2JGvXrsWaNWvU7xsbGxEWFkar78Yqt5BFHvadL0P2aw8i72ad3pJz/ui+iPsoy+R1fMRCNHU4ZvW/MH9PANBLnnGyuIazV1yQjwR//fG80d9n/a+FmBkdQmsLMKpfL/h6iFDfZiOJ9k1AR/CtFtWXlJSE/fv3Izs7G/36USfJ/Omnn9Da2oply5aZbG/cuHEoKChAQ0MDOjs7ERwcjAkTJuAPf/iDwXMkEgkkEnaee6dLao0+oOTyM+9mHaUDxemSWlqppxxV8AGgtoV6Cc9HLAXd34eOgwuZzMORoDKdsoGRtp8gCCQlJSEtLQ1ZWVmIiDCsJU9NTcX8+fMRHExf4+rn54fg4GBcu3YNZ8+exYIFC5h0jzZ0H1BDx7mChYBNx0oos93wEUvxLc302KZ+h/QLZQ4n+IC+6ZQtjIQ/MTER27dvx44dOyCVSlFeXo7y8nK0tWkrx65fv47s7GyDyrrIyEikpaWp3//44484evSo2tw3c+ZMLFy4ELNmzWJxS6ah+4AaOs4VLKTiue35er7lo8N6cW6XbokuY7+DQkng7b1yzn0hsRVfkKQHByH39emcBR9gKPybNm1CQ0MDpk2bhtDQUPVr9+7dWsdt3boV/fr1Myi8RUVFaksBAJSVlWHp0qWIjIzEX/7yFyxduhQ7d+5kcTv0SM29YfTvmq6o1OfT08Q6A8tST6Gzu2d7s+P3m7y028vT3WQRDmP7Xb6LtPKpK/T1YG9kixsczGmpr4nDp+7WZdV3Z5BZWGm0LQFgcFlF53xnQwCVXX/tnGi8s1eO705yHwBemTEEn90vI0b1gG42sezdW3AXL+0q4NwPW4IqVbcurtTdBmjrVNAS3M8Xj6J8sOie72wQgHpvzbWoBanFTpo+BMNCpHjj54t62wA6hT2DfBwvjJurgk8XpwnsAYAP0+lVbNmcQ72sX73tLJ/dcTi25JTgT7H9wfb5pNJiN1Ds/xtauwym6lbjEOvZHlbEhfOyz9fEqYT/bCm9kt2FZc348zencbK4Rp0K+vi1ahznsb67I6IkgN1nbpkM1zWEphbblC8GYDyZRbUBU6S9Mj2qN+9tOs2yX6EkUFJDP1Ao60oVsq5UwdNNgE4FAZrFbNX8cWw/p6wUdLO2Fe8tUHl8fpVTYtTD8V+LRyHYz5PSb5+rrd/hLDJmWMk4zcx/uqQW7V3MnW7aupkLvq9EhA8XjYAfB62uvVJa3QKFksBrCVGQ+YgNHicAkPJbkVa5bs39LFdfDLJYi62Y6LjyU95tLasKHziN8FvSMaexQ4GsKxWYaoWQUqnOgOPhbtmfOPtaNeI+ysIXWddR0WTY1KY5c1PB1RfD0TL7pBXcQ2TyQaTQ1FvRwWmmJksuA0nf864uyxZzFAA4/eYMFNyu11pK/yYvxws7LJfDsLyxnXbxDFMzt6GcfHR828nMPrZYcIMNSqLHqsIl4QmJ08z84yMC4Odp2kTEB+SsVt1qWeGPCpXCUyzSy283Z2Qo/vbwUIv2hS5sZm4mvu2amX1WxIVTHmNvK4MtOSW8bAGcRvhFQgH+HOfYGXu8JW5qC4UuQhszfdHx0jOWqpuJbzsZeZj8yHBsfmqsXuHWED8PrI6PoOU/YAsoCWAbzfgHYziVh59CSWDMe/9DY7v1a6ubE38vd3ywcATmjOwRjqjkg2hjofA0B+RMS1eAuWTzMdbevbpWFNypx62aVhy7Vs26PT6QuAnQ0U1fFB8bF4p//D/9asEuDz8DiIQCTBgY4PBeenWtXXhhRz5W31G53Da3d1tN8H0kbmju0B5s/bzc8dGiEYxnbr4QCQU4WlRhUwk+mAg+AOzJK0N2USbOvD2T9TWdZtkPqHK6Hb7s2IKvyZfZJUi/cA9/2ZlntT7oCj5A7bXHFYWSwMniGuwtuGtw60NCxvjbiuCzpaq5E7HvZ7I+36lm/m0nS+3+B2fKS7vPocvGEtgQANb+fJF2Jh5TMMn119mtxJYcx4nxr2ruRG1zJwKM+FQYwqlm/pu19ApEOhK2Jvgkda1d+CKLe20GQ6nAyVx/uv7/jjgBPPAhu9nfqYSfa8SZC375+ngpp0KTbPz/HXECaGKpznEq4V86KZx1xJkL/qlv6zLo4UcHJv7/JK4JoAenEn46BSLNiWvc0YeL2zUb/39LTQAeBoqM2hK230OeWTsnGqvjI6yyAlDVkbdNTztrwcXtmo3/v9hNiBVTzD8BdCqUGN2PfuUoLviyVNs7lbafZO2caLw6KxLbTpbiZm0rLt1tQN6terNdL+nBQYgbHKxRR/6W09SRN4avhxunvPNs/f+nR/Y2u8ZfSQAFd5hXkWLD0TfY2fqdbuanoraVv0SPmpAurK/MHEZZR97ZGdPfn5Opj63/vyOlXvf1cGNl5gOcdOb/4EAh/ptrPNEEV4w9fAkxodj4xFgk7sx32HJedIjnoYS2oci9ECM1/Rwp0YebSACFkmA1iDqV8CuUBBZ/eQJ5N+vNfi1jDx8A+HuLnVrwhQKV8o0PEmJCMTM6hLb/v6ntgj1R29JFq3IRFU4j/BnyMry6Ox806x9yInluFJbHRRgdjR1p6cmGVVMjIOZRI87E/5/cLjy/3XI5DswJ22fJKfb8GfIyPLfdMoIPAEFSicllmCMtPZkyb2QoL8kouKAOF/a1/9+B7bPk8MKvUBL4i4WLN9D5MSyZXMSW6C0V4/MlY6zdDSiUBPw8xVg0to+1u8KJAG8xa4uJwy/7c4uqeE98aAgmZZNVyUXC8ekh7v7t9oIAwPoFMbwWnmADVSCQvbJs4gDW36fDz/ybsq9b9HpMqqokTR9iN9ljuBLKU2VZrhgKBLJXIoK9WZ/r8MJ/qoReoQ6uCAXAxifGMHq4RUIBPlo0gpXbrz3FKLwwjb/KslwwFghkr3DRHTn0sr/Zgum6lATg7828PhypeFq3rxDljcZnowBvdyTPG44QXw+MG+CPvJt1KG9sx9s/X0CLjaTooiLQW4z9F+7xkoKLC6YCgewNrh6SDi38f9yYY9HrMTW5kLnkOrqV+Mf/G4UzpbX47LC+DoAUlQ8f1U59NWlQIE4W19i04APAhgOX1f83lGTDEjiaefWDR0dwGkgdVvgVSgJXqiwbu50hL6M9uxnKPrM6PgL7zpfR9laztweaTLJhjeSddJfIj47ug7SCe6yuYSkGB3vjkVHcLBUOK/wnrls+G+tBeQUOyisQ4uuBdfOpU0h9k1uCXWdv4Ua1/sBU3tCOr7JLsPGJMfD3lug98AolgVPFNTh5oxqAyqnF3kpRaybZMJXGi0l6LmOQA0h5YzsCvN1Ra8ThI9TPAx//cRRO3qg1uQ2zJnwoih1W+H+2YpHM8sZ2PLc9H5ufGqt2O/1vTjEOX6kyeh4B1RJ/w4HLyH19upZgZMjL9GrVf3HkOqQS+9TZGiuyCfRo5XWVc0xXDkzNejF9fSF2E2Ld/Gg85yAegIZwWOFv6bR+8rqXduSjiwCjnHFU1WdJD0Uqmjpse79vjMzCckrhN5WeiyyHRmflQDWAGONQYSVyrlZhZnQINj81Vm/AtRWmD5NxbsM+pw0ajOnvZ+0uoEPJTPA1IffyCiWBdfsu8dgr22FvwT29HH4KJYFvjpcwTs+lC1uzHgFg6dbTmPJxFgAg7+2Z+H7lBDz3wED062U7rsBuIu6i67DCLxLY962RyinVXrXDyr0xDzUtnVoCnCEvw5SPs7SsA8YwpuzkatYjtxeZheWYODAQcQODMCCQvUMN39ypb+PchsMu+/n4cqxJdKgqBZS9afOZQt4fmyW6Me091++N7MerP5xHt7IAHRZyEacLH4lI7Xt6NIK9Z2n9648FABw/+q+0uoXVEj3QREALX99bS6eCteAHeLtj+aQB8HDnV8z4yoXgsMLPV6IIa3GrTrVyGR8RgBBf+zLnMWHn6Vs4VVzDeIm+YHQfo8q+8REBCPBml96KL2pbuvDNyZto59kJ65k4fnIhOKzwi92Edn1z/f09Aaj8/9fNH27l3piP8saO+34LzJgZHWL07yKhAMsmDmDbLZtma24JUtILObdjz/Jhkv7+9jtjfvqnnpj3hJhQbH5qLKVjh6ebwO7rATDVyEs9RLR82rlEvNkyBFRFWLkOAIyEPyUlBbGxsZBKpZDJZFi4cCGKiorUfy8tLYVAIKB8/fjjjwbbbW5uRlJSEvr16wdPT09ER0dj8+bN7O/qPncbzZOV19yM7OcLHw9tXWxCTKjK7LRiAubE9Ia3RAQAaOsm7D5KrZcns+V5ysIRAGCyKq+j60u25JRwylXBSNt/7NgxJCYmIjY2Ft3d3XjzzTcxa9YsFBYWwtvbG2FhYSgr0y6M+NVXX+GTTz7B7NmzDba7Zs0aZGVlYfv27QgPD8f//vc/vPDCC+jTpw/mz5/P7s6gWvp1KexLNAYGe2Ff0lTKv4mEAjR1dOGgvMLuBZ7EWyJCEIPU0zOjZXBzE2LKx1laeoIAbzHeXxCDOSN7vP5G9PWDl1iEVhtw+DIHSkJVeHTF1IGszmck/BkZGVrvv/nmG8hkMuTl5SE+Ph4ikQghIdp7sbS0NCxevBg+Pj4G2z1x4gSefvppTJs2DQDw7LPP4ssvv8Tp06c5Cf+c4cH4uaCC9fmWRubjjsxXphn8uyPGo7d0KFBa00Lr2HkjQjFvVCilSbC2pRMv7MjH6jsRWDsnGqu+O4PMwkr+O2xjcCk8ymnP39DQAAAICKDef+Xl5aGgoAArVqww2s7kyZOxb98+3L17FwRB4MiRI7h69SpmzZpl8JyOjg40NjZqvXQhlLaxGxbcf62Oj1D/n+rv7y00HqLpaPHoJN+dvIkQXw+juoveUjH++afRJge/L7NL8Mi/s80u+LbxZHEzabMWfqVSiZdffhlxcXGIiYmhPCY1NRVRUVGYPHmy0bb+/e9/Izo6Gv369YNYLEZCQgI2btyI+Ph4g+ekpKTAz89P/QoLC9M7Zv/FcmY3xZJ5I0PwUFQwHooMxog+vnp23ZD7KazWzolWZYz186D8u6lAFUd1+Klr7cKSWNXvZ2hgXL8gBnk362gNfhfvNvHeR00WjuqDv/9xpFmvQQeu9n7WHn6JiYmQy+XIzc2l/HtbWxt27NiB5ORkk239+9//xqlTp7Bv3z4MGDAA2dnZSExMRJ8+fTBjxgzKc9auXYs1a9ao3zc2NuoNAF0WWB+L3YT4fMlYrRnbWAw60wITmjiyAuvrE6V41kQug70Fd63Ywx7+NL6/tbsAgHvtA1bCn5SUhP379yM7Oxv9+vWjPOann35Ca2srli1bZrSttrY2vPnmm0hLS8PcuXMBACNHjkRBQQH+/ve/GxR+iUQCicSwKc9SGXs7u5U4XVKL8REBtAWaSYEJTcYN8EeAtxi1LfZpxTBGQ1sXvswuwX/u5zIob2xHbXMHArzF8PMUQ6EkbGLwC9XIzmytqj9CgUrwudY+YCT8BEHgxRdfRFpaGo4ePYqICMOljlNTUzF//nwEBwcbbbOrqwtdXV0QCrVHMJFIBKWSvQBvO1nK+lymZBaWY80PBZyTThiDjEt3RMHX5K1f5PhgYQz+L+OK3veZPDcKPhIRmjusp73XzM787iOWj/lfOLoP/u+Poyzv4ZeYmIjt27djx44dkEqlKC8vR3l5OdratINorl+/juzsbKxcuZKyncjISKSlpQEAfH198cADD+Bvf/sbjh49ipKSEnzzzTf47rvv8Oijj7K8LW5aUKZsPV6qtxclo8Iy5GUGzqKPo6WbNkZdaxde2HGO8vtM3HEODww1PpmwxcOEMAkEwH+e0NbLdFsh2CciyJu3MmeMWtm0aRMaGhowbdo0hIaGql+7d+/WOm7r1q3o16+fQW19UVGR2lIAALt27UJsbCyefPJJREdH46OPPsIHH3yA5557jsUtqeArsMfUTtzQ3zXTVVE5oNDFEc17bCDvP+9mHe9py3tLxfjn4tFGj9n4+BgtH4IMeRmSLFwJClDFQnB5njQREIRj1IptbGyEn58fGhoa4Ovri85uJYa+fZBTmwIAz8ZH4MvsEk7t7Fw1kdUeH1B5sT2+5RSn6zsaYb08cLuev1WQQAA8OzUCY/r7Y92+S1r5E0J8JVg3f7jWjK9QEhix7jerOQ8Ze5505cAYDhvPL3YTItDbHTUcqnPOiJbh1VmR+Cq7hNPMy8VE56jmPS7QFfzUJ8fhaHEVSmtaIQBwprQWbRQRdgSh8g9YHQ8cf+MhteI2yEcCEEB1SwdOFteolbifH7rKm+ALwDy2ga9nwmGFH1DFU3MR/sOXK/H18Rucl9xctNS2oOG2R7zEIkwb3hsPjVB5nHZ2KxGZbHwluCWnBK/OisSkQYHIkJfhrz+e11M6zhsZgv/mlPLWT/LZ+nNcOBrbuvBTvmlzJl/PhMMKv0JJoJhj3n4lAU6eYkwKdxpifEQAekslqGiy3VReI/v5Qn63UStfoUCgmlHZzGx8sDpe299928lSk/kUSV/5vv6elC7EZQ3t2MKj4GtyUF6O1g7TFaZCOT5Pmjis8J8uqWWdPFOTaxXcvMWYFO6k4v8yLqOy2TYFP8Db/X4wTR90diux7WQpbta2YkCAF5ZOCsehwgq8/vMFNFmwbBrJp4eu4evjpXgmLgJJ0wfTtv5kX63C1cpmiw9YdC05S2L781buzGGFn6+CCw0cHtxn4yOM2vlNVaNJSS/krGw0F+5CAT5fPAaThwQBUOlYNKPLMuRl2HCg0CKCPzumNw7K9QO46tu68Omhq9iScwMPD+9Nq63TBvQCtkJ4EH/p6RxW+GttYLbcd74MryVEUY7UpqrRdHYrsSXHNgUfALqUBJZ+fZrSmYlNMk4u/G6iEnNzRzf20NhLA7BpwQf41QE5bCYfa+dvAwznljfktKPpGERnj2oL6DozWdovQVV+y7G9Hkl6ebrztt8HHFj4Q/w8rd0FAPrbD1PVaACVYxDdGHdro+vMZMmwYwGAR0f3tci1bIFn4sJ5LW/usMv+8REBEAKw9iJOd/thSjjIajT2hGYFHbY2aD9PNwgEAtqlsVS+/tEoa7Dv+gx08fdyR9L0Iby26bDCLxIK8Fx8BP5jZYWZ7vaDrnCMDvPH97/fsoulPwmpuKTDW3MiEd3HD9XNHWplJwD1AFJS1YLPDl8zeP7Y/v54M+0i6ttsr46eOfjARKIXNjis8APAkBDj7o2WIMTPU0urX03TXt+nlydWTeXuWmxJSCE2FupK+j78ecpAyod50qBAKJSEulaeIQ5c5B4wZU/4m0GH5dDCb21FkFAAVDd3IO6jw4zq7ZGOHKT/9pacEpteAWg6M4mEArz7SDSe356v5+BDirop3wdHTVfGBb5M15o4rMIPAKQe1h3blATw4s5zjAttvj5zqFo41s6JxpUNs5E8NwpT79vUbQkqgU6ICWWdrkyhJHD8OvMiHo7Ohv2XeAkP18Rho/oAYNW3Z5B52f4yuM6MkmHL07F6n9tihF9vqRjDQnxBAAgP9MKbc6LhKVbVFDDlxKQLle+Dix4EgMnB0xXVd5+2LvvM107W6dNFVbfPwyxLQCYkz41CkFSC706WIu9mPSqaVDN1zjVg26lbmBktw5Zlsep0ZeQgsP/CPYODgKUdg+yV9b8WYmZ0CC/KP4cW/vBAb+Rer7F2NxhD1unTJbOwHO3d1h3QQv08sDwuAs9tP4u8m/WUx2QWVmLVd2ewZVmsSU9GwJWwhC6aJlW2+SE0ceg9/8xIev7cfMN1TNas00dCzox07eDmQADV3r6zW2ky2jGzsBL78u+Y9GQEXAo+pvAVz+/Qwl/fYR1BCfHzQALNQBJdqOr02cLMGKqhrFu97Sytc15Pu2jSk1GhJFwJSxjCl3+/Qwu/NRJhBHiLkTw3GsNCpIzPFQqAF6YN1vv81A3m9ev5ZHZMb+S+Ph0JMaFQKAmcukFvK2UsSEZzCcv1d/K+r2B0dATgN57foYWfdDixJHUtnUjckY9vT5QyPldJAM/pBMl8fugqnt76O8+9ZMaySRFqBdPpklp08lj8tLKpHeMjAuBPUX7cdL8GYOeqiTj79kzek3raIgRU8fx84dDCTzqcWPK5IO6/6tvYx7Gv/7UQ6RfuYdz7mfj00DVYIUO0Gh+JSGum4XuJLpN6QCQUYBmLslOzY0IxPiIAO36/adNOUEzx93JHLwOD4aeHrmLKx1m82PwdWtsP9Dic2JP9uKyhHS/sOGftbgCAnkmJ7hJ9XP9euNfQbtLNd3xEABRKAkXl9DMmkefWtXToleq2VwK83fHo6L6YER2iHmy/yLqGTw/pxzeQClM69R2N4dAzP0lCTChyX5+Ot+ZEWbsrdkdDW7dWTgK6W6kVUwbi3UdU5aSoim8CKstBZmE5Rqz7DRmXmBVVnT8qFIkUxT3slc5uJYqrmlF4r0Gdl3/XmduUx/JVE8IphB9QzWB/nhJhcDnlwjCaS32RUIDkuaYH0Q0HVM4oxtx8AZWOg0ka7FA/D2x8Yiz2nS9zKL+A5g4Fjl6txoYDlxGZfBAv7TI+sGkqTNni8Mt+TURCAT5aNMLi9dXsHd2lvr+34QKpJOSDqVmVWLP4plTijld/PM+oHxI3IZLnRsHfW+wwMz4VSgLYf4Henp6LDsaphB9QbQFemTEUnx66au2u2AUB3vqpo+g+cORxIqEADW2desU3mdLRrcQLO85hdkwI6zYcDS5mUqdZ9muSNH2wTd64t0SE/zwxFqF+Hha1UBjj/QUxrJV+5HF8Fxo9KGemH3BE+LD526IMmB2RUIDHJ4RZuxtazB7eGxfefRhzRoYaVJRZmrkjQjFnZB+9z+kq/epaOm3CO9ERIcC9JoRTCj8AzBtpW4kfD16qQGahakYzFA9vaaYPoy6HzUTpd6rYut6JABAb3ovxOWKRtYde4/w5LpyTmQ9wYuEfHxEAb4ltuYVqmm5I8+T3KyfA3Uq/UsGdeoN/o6v0+zGP2lxlSRpYOFzx6cVoDmZGc9d7OK3wi4QCrJoSYe1uaKFruhEJBYgbHISnJg6wUo8Mz350lX6/FNzjqzOs6VJYO4ezPlxMznz59zut8APAiw8NhYe1plUDUCXqmDWc2/KOLeGBhktD2VP14D5W3j5RQhD4fuUETI8MhoDhDmP+qFBeknnY1pNvYURCAf75/0ZbuxtavJ12Uc9v2xoBSkIBsNSAv71CSUCpJNDL0z4cpo4Xs3eEMRdk7MfW5eNRtGE2lk6kH7Cz73wZJ88+EqcWfgCYMzIUfXxtZ2Zo6VRoRfYB1glQWjU1AmI3/ccjQ16GKR9n4cnU350mZ765OFmsCo0WuwkhFtEXRa6efSROL/yAKjTU1nj1x/Nao3tCTCj+vUQ/w485WB0fgbVzovU+58NeL+FZix7g7Y6wANsozcYc1e+bIS9D6vFSRmfyEV3pEn4AwTY085O0dChwQieFdYUFMt68njCUUvD5std38KBF9/dyQ0JMb3hLRKht6cLtWvss2TVpYBAUSgLr9hUyPpcPnYtL+AHUt9pmldef8+9ovb9Z22r2a1Y3Uy/lbSnPXl1rNzLkFWjpsM/szIBK2z9xUKA65oEufGbzcQk/bKOcNxUtOtFuAwIMa9/5IjW3BCnp+jMRk2WmbbvH2AYfLVLV3mO6fOfDs4/EJfywnXLeurR0dOP4tWr13n/ppHCLCNaWnBJ06qQPorvMfGXGUKt7JtoD527VAWC+fOfDs4/EJfxQmdLcbHC6Ol5cgydTf0f0OwfxWWYRREIB5o40v81fSQDbTpZqfUaaGw19TeRyNGn6YOS+Ph07V020SUWqrUAOsGQhFrrw4dlHwkj4U1JSEBsbC6lUCplMhoULF6KoqEj999LSUggEAsrXjz/+aLBdQ+d88skn7O+MASKhAB8/NtIi12JDRzeBzw5fR3TyQXRaqAqRrn6BNDcCxjPziIQCdaWe2TzNUI6IkgCe+u8pnC6pxTvz9BWsVPCZuRdgKPzHjh1DYmIiTp06hczMTHR1dWHWrFloaWkBAISFhaGsrEzrtX79evj4+GD27NkG29U9Z+vWrRAIBHjssce43R0DQnrZ5tJfkw4Fgf9ZqPYglX6BaQFOU6sFZ+d0aR0e33IKGw4UYnV8hNEU5GTBFD72+uo2uRTqrKqqgkwmw7FjxxAfH095zJgxYzB27FikpqbSbnfhwoVoamrC4cOHaZ/DpEAhFX//rQhfHLnO+DxHRCgArmyYTenkAzArwOmqwUcPAYCNT4zB1YombMkt0bJk6JY3M4bFCnU2NDQAAAICqJcieXl5KCgowMaNG2m3WVFRgQMHDuDbb7/l0jXG3Kiinz3W0THk3UdCLutN0dmtxN26NjwwNAh5t+rQ1G7eLYuPxA1KpRKtRoqF2DIbDlxG7uvT8eJDQxlVN2YLa+FXKpV4+eWXERcXh5iYGMpjUlNTERUVhcmTJ9Nu99tvv4VUKsWiRYuMHtfR0YGOjp66942NjbSvoYurJrwKgQB4diq1dx9TUtILsSWnRCufvkAATBsWjCmDghDgLUaQjwR/2XUOdRzrD3q4CyESCNDcwb5WgrXRLcLJRyFOU7AW/sTERMjlcuTm5lL+va2tDTt27EBycjKjdrdu3Yonn3wSHh7GNaApKSlYv349o7YNcbqkFg1mnpVsmRmRwZgwMAhPTw43OuNT0dmtxLaTpbhZ24oBAV5YOikc//jfFXyZXaJ3LEEAR65UYajMB339PfHangucBR8A2m10pvdwE6KdYcUVS5ZfZ7XnT0pKwt69e5GdnY2ICOqY+G3btmHFihW4e/cugoOpM8LokpOTg/j4eBQUFGDUqFFGj6Wa+cPCwljt+fcW3MVLuwoYneMoRIVIcfBlan2NKahmd0C1fzX2UAkEqoHA0Qj188CS2P4ID/KCTOqBcQP8MfXjw6hoou9BGuDtjg8fHcHalm+2PT9BEHjxxReRlpaGo0ePGhR8QLXknz9/Pm3BJ88ZN26cScEHAIlEAonEdDYZOthTbDrf/PxCHKvzUtILKWd3wLjgA44p+ACQPDdKL+fh+gUxeP5+qng6t13b0sVLNR46MFrjJSYmYvv27dixYwekUinKy8tRXl6OtjbtwIrr168jOzsbK1eupGwnMjISaWlpWp81Njbixx9/NHiOORkfEQCpxPn8naYNC4InzQq3CiWBk8U12FtwFzlFVfjKgOA7M+/t16+gQ5pH/Rhm7uFajYcOjGb+TZs2AQCmTZum9fnXX3+N5cuXq99v3boV/fr1w6xZsyjbKSoqUlsKSHbt2gWCIPD4448z6RIviIQCPDw8FD/l37X4ta2Fr4cbvnlmAq1jM+RldlXr0FqUN3bgm+MlWB4Xoaedr2eg29BV/pkLTnZ+W4KrnT8t/w5e+YFZBRlbQiwAOgnT+20ACPP3QM7rD9Fq11Hs9GH+HrhdZ5nBS9Mur1ASrIuJfr5kNBaMZpZlmokcON9a1wClNeYPlzUniQ8NxWYT6b4FAD7740jagm+unPueVsibaCnBB3qq6GbIyziFQptbF+V05bqoUCgJ/Df3hrW7wYnwIC+9unjVTR2oa+2AUCDEpEGBmDgwkJGzCN8x/EIB8FCUDGdK69Bmo+Y5PiAHyzf2XMSTE+jn5iPRLF9OwsSrki4u4Qdw6kaNXSeGAIDPD1/FgtF9IRIKUNfSgQ37L6G2pWefuSf/jlEXUaqHq7yBnww5I/r6YuHovpD5euAvO8/Z/RaCLvVtXdh4tJjROeS2bUlsGPZfuAeZ1AN1LZ3YcEBb58LE5dcQLuFHTyJFe+ZGVSv25d/BpfJGShNc2f2lKJUJiUqhF+rngTielE0PDA3G8rgITPk4y2kEny2kVeDTQ9eMHldu5Peki0v4ARAO8ki+8uN5GEuRR0BlQpoZHaJeMhpS6JU1tPNm/Zg0MMim0oDZGvNGhmJmdG/cqGrB54eNCz0JAdUqQff3ZIJL4QfVKOoI0MmNqZn22RJFNMlcdXTTVc2OCcHnS0Zj56qJkK97GFIPx5+f8m7WQQQB/p1FT/BJNE2CbHB64c+Ql2GPE9n3gZ58fHzMxl4mnIQGBHjh1R8KUFFP7zoH5eWQuKkUlBfvNqCp3X6DdehS1tCOpF3n9Nyk6cI2jbfjD6tGIGc+Z4M0IXHJ/U4uMv+5eBSUSgJv/SKnDNI5f6cB5+804Bfco+WDAPQsZfnITe8MsDUJOrXwO+M+VOohUpuQmDw0Ad7uWtaDEB1t88MxoThdUosvjxXj6NUqyjboTmzkUtaZYy7oQGUSZIJTC78zzix/HNtPrRwaHxEAP093NNAouzV3RAjmjOhr0M4sEgpw6HKZQcFnSmVTO+aN7INQPw+UN7Rz1kvorjrI915iEVo77c/Mq5s3kQ1Oved3xplFs+KvSCjA6DA/Wuf9lHcX4yMCsGB0X0wapO8slJJeiNTcm7z1Uyb1MJo0lAkPDA2izDu4+amxuLjuYbwyYyj87KToKImhvIlMcOqZf3xEANyEAMN8C3YLVfbX/gHeAExnMWrrUhoMNOnsVmJLDn9RfgHe7ihvbMfJ4hrMjA7BpqfGcgosCgvwwtbl4w16yL00YwiSpg/GF1nXTNrXrcnz8QMR2ceXNw8/p5n5NUNSTxbXQKEkkFlY7jSCbyj7a1snfW26oW3StpOlrDTVhh7d2pYuvLK7AI9vOYUpH2cBUMXKB3izm50HBHip8w4aWrmIhAK8NEMVH6FbDl3m4474IYEQMywyyjQrkik259xA4b0Gyv6zwSlmfioPthBfCS8ppCyN1MNNy/zlI3GDm0igFTIqFEBLGA25giqUBHKu0d+jG9omMa0h2FsqxruPxOi5rFJR3tCO5+4nw2BLam4pwgK8aC2RNeMjdFcJTCMc/zCgF04Ucy+lTUIQUHtv8pFn0eFDeh0lJBVQxeB/uDAGyfsuaQ1cvaUSPDGhP8KDvNXpo/Ju1pkMAjlZXIPHt5yide1QPw/kvj5dr53ObiVe+D4PhxjUE9h8f69KxhOUN7Rhw4HLqG0xT8FUssd8ZMfJkJfhnV8uotJAQVNLYCy1uiuk9z6W8GCzJIvH9UPSrgK9FUtFUwc+PXRN7Rwjvv+voSUuuQU6KC+jfW3NLUNntxKpOTcw5/McDH37IG3B93IXqgUf6EkBHuLnaTbBB1RafQLAW2lyvRqETEmICdVSmloDqnJqbHDoZb+j2fG/OWlcm77254sm/bzZZOV5ZcZQtcAaStppijkxvfHvJ8ap+6ZQEjhVXIOTN6pxtaKZWWMsqWnpxMSUQ+oEmWzDZC1RKt0SfXBo4Xc0O363CYmra+3CqRs1iBscRPl3NlugEF8JkqYPBmA8aacxVsf31ALo7FbizZ8vYN+FMs6zMBvIBJnPxkdg3/kyVmGy4YFeyOHBKJAQHYSjV2vQ3s18bcpHuXaHXvY7ox3fUHgy0y2Q4P5r3fzhEAkFvJjzUtILMeztg/gp/65VBJ+EgEpxprv60czAY4w3eVC2AcDskf1w6b3ZeGXGUEbnCQWqcu1ccWjhd85CkdTizXQLpOtEwtacB6jKUW/YL8eX2SVm0b/8cWxfLJ3Yn3MEIKkbWLP7PLZk3zA4QHmKRZgZLeN0LaDHkemlGUMoTYyGMFVOjS4OLfymykoLAAwItP3qvEyYNJB6yc9kC7RwdB/8/Y+jtGrBc9ljKgnw6v1HIhQA/3liDP6+eDQ2LByBjxeN4KXd1i4FPki/jMjkg0hJpw782rIslvUAIIC+w1VCTChyX5+Onasm4vMlo/HIyBC9Z1Yo0N5CccWh9/xAT950PTu/nweS50Zhw4HLVuwdv5Cx8ySaCq3qpg4jZ2rzS8E9/FJwT2sPzMcek2++eHws5ozs2Z/7eYl5bV9pwq6+ZVks2joV+DC9EKU1rahp7kBhmfGCr8Z88jULoC4Y3Rf/WKxfCo1PxyGHt/OTUGl2T5fU0rZz2wOaZrQMeRnW7SvkVPtN0z4+PbI3hiUftIlqO1SKuf0F9/DXPefNUrfPVMlyTUxZQ/jIvWcMi5XotieoykrbgjVg2lB/HL1ax6mNEF8J1s0friX4XL3iAP1UUQ8OC0bWFX6i9pgS4O2O5HnDEeKrbZJTKAks/vIE8m7Wm+3apF19xdSBJo9dOycar86KVM/YYf5eiOwtRW1bp1nLbbPBaYSfCluwBvh5cKs3mDw3SqtCjEJJ4I2fL/LRNQA9qaKe23YWT08It5rw/79x/fDomL5aK7iSqhZsOlaMDgtYDpjoPMRuQloDhbVxauEnrQF8xIuzpbqFm5tokFSiNZOculHDqDQUXTIvVyLzciXEbkKrmOnI2oC6tnlLYYs6D644tfCT1oDneVgis8VUDjxTBHiKkZpzQ60Uqmqmr9hjAyn4hpJjeLgLzbLvJm3z1oAvu7qt4dTCD/RYA9bsPo/WLstndBkfEYgzN+sYz9YCqOzNT39zWku5ZKndZLCPu1ZwS8j92vSfHrpqoR5YjjkjQnFQXmZze3auOL3wA6oB4HZtGz5It6zZTygAnp4cjrAAT0YKOnKWpUo/Zanty6zhoZg7so+W9WT/hXsWurplEAgAT3cR9l8ow/4LKq8/c2vrLYlDO/kw4enJ4Ra/5kNRMojdhEiICcXq+Aja58mkYgisPPmUVLfoRQ4GePJrZ7cmE8L9QRD6AyxdF2B7wCX898m6UmHxax4qrESGvAwKJYF9540/TN4SERKnDcL3Kydg5dRBvNrb2YwjuhmAUtIL8fQ3p/npkA1w/k4D5efk177+10Io2Po72wiuZT+sm79//a+FkHq4m9Rgt3QosPFoMfbk30VkiA+vffD3FjOOpyeIHqUenWg/cqsiBGAPmdPajVg0NCvlUOU0tBecUvh1vf2UBGEV8xH5EP109jbtc8ob2zl57VGRPDcKIX6eqGxqx8Yj12nF14tEqkeHbrSfTCrGExMG2HSCTKbYgpMYF5xO+KmSWfSyctrmtALrKspC/DzVM1h5QxtSDhaZPIcMaqEb7bdy6iDIfLk5NNkatuAkxgWnEn5DySzqaRStcFR6S8WQ323AQXkZBgR44ckJ4bSEnyCAZ787i2uVxgNZSM6U1mJobynX7mrx1pwoRIf64uSNGnxx5Drt8+bE9Ea6nL2Oh2ulHFvBqQJ7pnyc5VBpvcaE9cL5O/Ws4+wBlTlL8wkQCoCYvr64cKeRewfNBCl8ZEJRhZLAuA2ZtAbxXp7u2PjEWDyZ+jvrawP8JAM1B64EnhRYMp+fm8AyzjZxgwNxZcNsLJ3Yn/G5pGeh7tCvJIALdxoxsp/xB8daUIXEioQCPBNHz1S6fHI4Jg4KRG+p6S2IAKqVkSZ8VMqxFZxm2X+osNxi12KRko0VkwYGQewmxLr5McgsrDSpCAzwckfyvGgEeUtMmuUu3GlE/tszkXbuDnKuVeHoVdNVfSyBboFQkqTpg/H1iRKTnpK7ztxCZKgU6xcMN+lY9Wx8BF5LiGKV5JMubJOI8oFTLPv5CnG1JXp5uSPv7ZnqB4XOPZLx/qk5N2glMREAWDk1AvsvWCeYRgjgX0tGI1DqQUs46HwHmst2AFjzw3k9Rx6BAHh2Kn8ZcwxBpXzm6kHIZNnv8MLviHt9AHj5oSGICPbWqyjzxs8XKWe/Xl7u+GiRKmX1O3vl+M5EGnBbIMRXguNvPMRoJqSbxIQsQgIAJ65XY0/+HbR2diM2PBBPT+Y3Y46hflIpn3V1CkxXBq5kHho4Wu5+ks8O99jLNWcLpZLACzvO6R3f0KpKWb3pqbF2E55a3tiBU8U1iBtCnZeQioSYUHiL3bB0q/FtTVlDO745XoIgqQQyqQf+sXi0xZbbxjIpayZQUSqhV9KMz9gCRsNbSkoKYmNjIZVKIZPJsHDhQhQV9ZiFSktLIRAIKF8//vij0bYvX76M+fPnw8/PD97e3oiNjcWtW7fY3ZUG9u6IQQfS3zz9QpnB5bymW+oTEwZYPTaALok7DPvRUxVfzZCXIWknvS3ehgOX8dKunoKgfPnrU/VLE1MTEun89cKOfNbpxenAaOY/duwYEhMTERsbi+7ubrz55puYNWsWCgsL4e3tjbCwMJSVaXfqq6++wieffILZs2cbbLe4uBhTpkzBihUrsH79evj6+uLSpUvw8ODuRGFPjhjJc6Nw4OI95N+i9is3BDlbJO+Vo8aImy75UBXcrrdqSi4m1Lf1rFg0ZztKZy0vd9aJTEih4qrJp7OPz+SgfNZNrcZltcJpz19VVQWZTIZjx44hPj6e8pgxY8Zg7NixSE1NNdjOkiVL4O7ujm3btrHtisk9vzWz9dDl8yWjIb/bwGute0PXkUk97CZ5qa5d31zFV3WvwxQ6+/iZ0SGI/eAQL7UJd66aqBdbYDE7f0ODaoYKCKD2dMrLy0NBQQFWrFhhsA2lUokDBw5g6NChePjhhyGTyTBhwgT88ssvRq/d0dGBxsZGrRcVxnL32xoBnmKk5po/Ww2pOKJbJMLaaAbSmLP4quZ1mGJqHw+oZutTN2p4K0rKdUvLWviVSiVefvllxMXFISYmhvKY1NRUREVFYfLkyQbbqaysRHNzMz766CMkJCTgf//7Hx599FEsWrQIx44dM3heSkoK/Pz81K+wsDCDx5LZekJ0HnZ/L5VPv7UHBbKIw5WKJk7eeoAq9NcYUg8RRof1Ug+K1r53JlQ2tVtEgctGqOju4w2VU2MD1y0ta21/YmIi5HI5cnNzKf/e1taGHTt2IDk52Wg7SqUqdHLBggV45ZVXAACjR4/GiRMnsHnzZjzwwAOU561duxZr1qxRv29sbDQ5AMyMDtEzm2QWlusX9PCVoKKpwyI56jU91k5weDAEUO15dct369LUrkD0Oxn485QIJM+LpixoYqvI7tv7zU1lYwcUSkIrI/LpklqUN7ShtqUTAT4ShPh6YNwAf+TdrENlUzuuVdCLcaCba8lH4obmjm6Df+/l5c45toCV8CclJWH//v3Izs5Gv379KI/56aef0NraimXLlhltKygoCG5uboiO1naoiIqKMjiwAIBEIoFEwixKjCp3P9WgoCQIPPlfdr7fuvw5Lhwzo0NQ2dSO0uoW7Dx9C+WNPUk2NT3W7ta1sboGOYA0tRt+WDQhAKTmluBMSQ32vThVff/36lpRcKce3UoC1U0dKK5qxo1q65ejBnrKW7FZkjPlg/TL2Hj0Oj66X/7L0OAoFIDxSm3SwCDsyb9rUAclANDbV2I0nwB5HFcYCT9BEHjxxReRlpaGo0ePIiLCsD91amoq5s+fj+DgYKNtisVixMbGapkMAeDq1asYMGAAk+6xRndQ2Ftwl7e2tx4vhbtIoPYWS5o+xKDTxtJJ4fgg/bLJB8rXQ4TG9h6vtBA/Dywa2xcbjxQz6tuFu43489e/Y+szE+7ffyCuVjYZrThjLRraupBZWI6Z0SEWSbde39pl0luQyXdEKhMnDgpUZ4ymyoAMAI+P728y70FdaxfnZCKM9vyJiYnYvn07duzYAalUivLycpSXl6OtTXvGun79OrKzs7Fy5UrKdiIjI5GWlqZ+/7e//Q27d+/Gli1bcP36dXzxxRf49ddf8cILL7C4Je7wbR7cklOiTnktEgowPiJAvYQllViAqtjDqqmmA1Qa2xV4ZcYQfL5kNHaumojc16ej4FY9q75lFVVjw345gJ6MPLYm+IAql97z2/ORWVhuNwpcEt1gJEM6KDJoKDzIm1a7XLdAjGb+TZs2AQCmTZum9fnXX3+N5cuXq99v3boV/fr1w6xZsyjbKSoqUlsKAODRRx/F5s2bkZKSgr/85S8YNmwY9uzZgylTpjDpHm+QmnC+9sGa5Z5M2YHXzomGkoBRc58AwK4zt7VMUo3t7HMSpObexKg+vcxuYuQKAdUSPPf16Xalq6AKRjKkgxIJBbSVglwnKYf37adDZ7d+NdSsKxW8BgMtmzQAkwcF0vLnPllcQ8sGr2nnfTvtIrb/zt4jUiQEFPaQXA9A4oODMGVwMCqb2vH2L3Laug5LkvTgYAzp7cMqUs+Ub4oxfwSXbz8DqKqqfpB+GaumRmDzU2MNBsowpaWjm5Y/N6kcpIPmcW/NjeYk/PYi+ACw8UgxY/2GpYkbHKRWUO6/cI/RIKBZScqQXoCqxDdTnFr4DWWdJeuyr44H8t6eiS+yrmPr8RI0cEj3tSffuBJR08GE7nJOM0/+sauVkLgJLVK00oVxZD7uqGvp0IsmpQrKUSgJnCquwckb1QBUiueJAwPVegE9MzSPgT1Ou+zv7FYiMvmgSeXW1fdVddkVSgJfZF0ze/bZz5eMxryRfWi5JAsFwKqpERjT398s7q4u2BEd6oPLZc0mt3eGQrC9xCKsjh+EpOmDAcBsIb1OK/x0E1pMigjAztWT1O8NKez69PLgpUY8uY8n/cQB024h3mIRWihKd7ngjrdYBLGbAHWt9PUKYpEAnQrqX43cryfPjcYLO4zrlDRzMNDFlcOPBnTrrZ8sqUVKek9Bj4SYUOS+Ph07V03UMrUt46GKq1AA1LV0qK+z6amxkElNl8CytuBLzJz4wpq0dCpQ19qNAG8xhsnomeAMCT7Qs71765eLJtshfQ3MVRrMcX81EzBJaKFppwd6nII069Tx4RugJIDEHefUP3ZCTChWTh3EuV1zY4t6Br59AOpaOlFU2cJfewyUyOYqDea0wr90UjjoKktJO70xSN8APh46zR/7dp1tuNfaG3yLCmmRMZXea9yAXjxfmX2koSmcVvjpetORlNYYF0K+Qod1w0rtJeWWLTE90rhLOVsIqBTFhgR8ZrQMP6yebHQSEAAI8GZeIcocAU1OK/wAsHZONKJC6VWRuVljesk3PbI3HhvbF57uxsNq6UD+2ExWKC6AXp5uWBE30KzXWDYpHJffS8DSif0xdUgQlk7sj8vvJWDLslijkwD5/v0FMQhhWLrMHBmpnFr4AWAlzWIP2deqjSpeUtILEZl8ED/l30Vrl0oBJwAwIcKflfCSPzadFcq8kfZfQIIv6tu6AQEYb8GY/EYyqQc8xSJsWDgC21ZMwIaFI+Ap7hnwTfnuzxnZB+vmD6d1LTLXgzlKgzm98Pfxp7+sNqR4MRQQQwD4vaQOQgbZMql+7LVzorE6PkLvARUKgNXxEfh8yRhGS8kRfa1Xjcffyx1/mT4Yg4Ppac7ZUN3cQXsLJrj/+uLxMfh+5QSjRVuZCKIhqxBptkuICcXmp8ail5fx6wH8ePNRtu+sdn4Spnn9dfOm0XUWAvTr4un9/f6/G58YC39vsZ5jB1UMAqmASr9wjzJlNxWr4yNw/lY9TpXW0TqeL/y93PH7mzPUfaZyrdZFAGDuyFD8c/FobDtZSss3Q9NXQtcnQzcGX9frzpB/hblq9JEeft//Xopj16rR0tFjtmWTptvl28+QJbH98emhq7SO1VW80C1RDQAyHzFWTh2E23WtaO3oRs61KlQ09eRzC/HzwPxRoUZzta+YSr2fPX+nnl4noDJdPj6+v8WFv661C3k369SD59o50Xh1VqR6QGvt6MaxogpUtfQ41MikYswbGQqxmxDL4yLw39wSkwEv5MxMFTmnmX2HymPOEm61moiEAsQNCULckCC0dSrwYXohSmtaER7ohTfnRGttJ/jGqYWfamYwha7iha6zEABUNHUipq8fVsWrBFizGkuApxi/nL9DGWtgKq10Z7eSUTiukgAqTVS0MRe6g6fYTagOdaZyUa5s6tS6d6YBL1TZm0wlwDAWbmsudONMcq4B207dwup485UNc9o9P/mw0RV8Q/s9pqY4zYeffDAL7zXg6W9OY0/+PcpzNLO/UukcmKw+SGS+EtZWBB+xCNMjgxHgbdr7UO+6FFpruplvFUrCpDKNHBxNFc4wBZUjl7kwFGAGqALMND1M+cQpZ36m6Z+NKV7opt4i0X34jf3wmmja/3VnLiarD5KBQT5YNTWC1rV1aelUIOtKFbzE9OcOckmuVBLYW3BXazalm/mWvHdTM7M5CmCai85upcnf4MvsErw6K5L3+oFOKfxM0z8b2++RpjhTP6DufhRgvlwHgC05xZg0KFBry8BUZysUQEtZyDRnH3loayc9t15yid7WpcCTqT2JUUmBpOserLtqIuPlyXRoZDZmqu0DXxV5+Oa/OfTyEqzZnY8nJ0bwuv1wSuGn6y21bNIAzI4JNfmFk3uyr3JKDGrzCeivHNgs17OuVGHVd2cgv9vIOoXVqqkRasEnlW5Pbz2FkzfMowD0kojQ0qHQC10lBfLlGUNotaO5aqKa3UN8PdDeraCVMEXzd9AcSIN8JAABVLd0WGSvv+M0vQQs+y9WYP/FCl5XME4p/HS9pWbHhFIqh6jKJq+dE41upRKpuYZLX5+7Vaf1oxVXNzPvPIDMwkpW5wHAgEBPSgXS7yXm0/y3dlBHHZICufP0LYT4eqCikZ4W35By0FRZbqqtkymlLxNhY1pOG2AeFMXnCsYphZ8MwqFrMtKE6mGRerjhvfkx+Pq48Zr3W3J69m4p6YXY+fttjnfCnJs1bWjrVGiZkNisQJhgrGkCqlLcr8wYis8OXTWpxeejXBe58qNT84+usLHVM4zs64fDDAqm8lmo0ym1/XT8r6mUe4YsBE3t3XjlhwKTAkRGB5JKPmt5V32ooz1mozDkm/AgL1pafD7KdcmkHrQHEVOWFsDwc0GnnPbnS8Yy6HlPn/iI9HPKmR9g7szBV4HI4upm7Dpt+RlfE90IRVuIHJRJPTBpUKBJ+zqX6DbNFR2TQYRqu6BQEjh1owbHr1fju5OljPUMJD4ebhjZzxcX7lAXmjWGRfP2OxrGPMDS8u+gvLEdudeq0djehd6+/OTxr2rssHpRjPBAbWFfOikc76dftkhtQl10t1hUTjmasI1u013RsREcze0C3azOxky0pLv26DB/VDV1oKyhg7oRA1itUKejoPmwZcjL8MAnRyiF/OJd5iOzLgKAt/LMXBjZ1w8ni2vUs6rYTYgHhwUji8Hek0+YBK6Y0tcYopeXO1I08uGxERyZ1AMZ8jJW9Rx0BxuquAYBgP4BnvBwF6GkusVkHkCukX5OueengqnHH1vyWJbVIgn1YxYHTsXf9lzE41tOYcrHWer96CorpQt7Nj4CM6NDaHvjsU2aInETYmZ0iPo9k8xLpHfnuAH+WLePnbed5mBjLAr0Zm0bpg0Lxr8eH6OOONTtC8BPpJ9L+MHfft4UfLTPdGloDE2F1OiwXpB6mC+IxBA/nL2DuI8O4/Etp/DSrgK9QYmKmdEhmDMihNH3Wd7YoaUgozuIaApb3s06k+ZEqvM13cLpOHZtySnB9MjetBSgXHD6ZT/AjwbZkuiaw9hCtpG04xwUSsIq1geqRJbGzGsZ8jKs+eE8WllkLD5+vUpLgWhI6auJpgJ4w6+XGF2PapamY1bVrO1ozgAjl/DDPPnRzAnfQtpt4mk0lYeAbwxpydnut0m+OFKMPfl3taw5ukpfQx5+GfIypB4vZXS9AG8xPng0RmsAK6mmlwGYNL+aUoBywSX8ME9+NEfCGlYAXS25Qklg3T5mMy8VVKsKUwJGbguZ8vbcKK0ow5d35ePXC+W0zrWE+dW15wfu73dd4yDfhPp5oJeXO6dsxuSq7HRJLcobues76Djt6MJ2W3irtg2AasUy4t0M2oIvFABDZVLW4ch0cfonnk4qKRfMSZ4bheVxEeooO7Z6irOltVASwLUK7qZWEmO2dyrYbgt3nr6FITJv2unVSDzcRVj69Wn1e3OFIzv1zG/I5OKCOwE+EoiEAoPJN0L9POBFI0XVtlO38MruAvzn6A3e+0hXqNluC8sb2/G3PRcYn6erzKTjJswGp5352cTSmxtHKri5Yf8leLoLkRATatCTcvR7/7NqH+kKNVvHIgBaCTnZwmcwjyZOO/ObO5KNKTOjZfhq6R+s3Q3eqG3p0pqtdNNinSmtZWWu4wsvsQhKJUFrP81XNSYu8BXMo4nTCr8tRLJpcqiwElV25GtABwLAG3su4vj1aj0hO3692jqduk9rpyqrkK5DkaHcf4a2L5aGT7O00y77bSGSTRMCwGtpzPeHtk59Wxee/O/vekqre/VtVu6ZivKGdjy3PR9/jguHn6cYO0/f0vLi0+y35vblg/RCyHmI92AKn2Zpp535bbEGnrG67vaOrtKqby9PK/dIBfmNbz1eik8PXdVz39XtN7l92f/iVMRYsPKROcp2Oa3w06mBNzNaRhlc4YI5uvb18eH8154zB8b8At4yUz59XcxVtstphR8wXQNvy7JYyn2eNQJgHAFSafXyrnw88+0Zs13H30j9OzYYUrbVmSE8W+wmRIiv+YJ5NHH6Wn0AjNbAA/QTM44O64Xh72bYlLXAkvAVWGQu/DzcMHVoMPZf4Ncu/vmS0Vgwui8A1TMR99FhXrwONZkZLcPmp/6gF8wDgFaAj6tWH0PIklGGoPL9Zlvwwp5ZOLoPIoJ88PXxEtS3mc5iYy0a2rtx4EIZVsdHYN/5Mt4iNjWVbXy5G+ty+HIlFEpC63kzVxESRsv+lJQUxMbGQiqVQiaTYeHChSgqKlL/vbS0FAKBgPL1448/Gmx3+fLlescnJCSwvilLsHZONFZMMa4zsAfo7iAFAuChqN747NBVmxZ8TfadL0PWq9OQPDcK04YGsW6HStlmrkhQMpyXhEtyUFMwEv5jx44hMTERp06dQmZmJrq6ujBr1iy0tKjCFMPCwlBWVqb1Wr9+PXx8fDB79myjbSckJGidt3PnTtY3ZQlS0gvx9XH7n/lXxUdgfLg/RCZGAYIAkvfKWS/3La00JffpcR9nYcOByzh6tZpVPwwp28wZCUr6oDCpYcgGRsv+jIwMrffffPMNZDIZ8vLyEB8fD5FIhJCQEK1j0tLSsHjxYvj4+BhtWyKR6J1rq9Ctr2cPfMXgPugkrDRELy93ysQd5kY3ZyJTMTGUzXl8RAD8zXRPpA8K0xqGTOGk7W9oaAAABARQm23y8vJQUFCAFStWmGzr6NGjkMlkGDZsGJ5//nnU1NQYPb6jowONjY1aL0tgizEBts6MKBmUdqYdXTZpAHaumojc16dT7qtFQgEWjelrlms/MWEAAPpbC7ZbENbCr1Qq8fLLLyMuLg4xMTGUx6SmpiIqKgqTJ0822lZCQgK+++47HD58GB9//DGOHTuG2bNnQ6Ew7PudkpICPz8/9SssLIztrTDC1mIC7IFDlyvR0N5t7W4wgizVRqVRJ12APWlEJbKh4HY9APpbC7ZbENba/sTERMjlcuTm5lL+va2tDTt27EBycrLJtpYsWaL+/4gRIzBy5EgMGjQIR48exUMPPUR5ztq1a7FmzRr1+8bGRosMALYWE+CCX0ylxTZV248PyJmcS1k5OrCa+ZOSkrB//34cOXIE/fr1ozzmp59+QmtrK5YtW8a4/YEDByIoKAjXr183eIxEIoGvr6/WyxLYWkyAM5P44CA8Npa/pbcpTzpLpXcnZ3K2ZeXowkj4CYJAUlIS0tLSkJWVhYgIw6au1NRUzJ8/H8HBwYw7defOHdTU1CA01HbqqJMsnRTucve1Eb4/dQt78u/y1p6uJ51mhN/xa9VYt49+enc28khlUjQUTciH1x+jZX9iYiJ27NiBvXv3QiqVorxclZPMz88Pnp49gRrXr19HdnY20tPTKduJjIxESkoKHn30UTQ3N2P9+vV47LHHEBISguLiYrz22msYPHgwHn74YdY3Zi7EbkKsnBqOLTml1u6K08PV3yDUzwN//+MovUy9ALflvUAAPBMXgRlRvVHe0IYNBy7TrtRENZNTJUPhI4U3I+HftGkTAGDatGlan3/99ddYvny5+v3WrVvRr18/zJo1i7KdoqIitaVAJBLhwoUL+Pbbb1FfX48+ffpg1qxZ2LBhAyQS7tVpzMFbc4ejtKYVmYWV1u6KC5YIoBK0uCH6zj90SncbgyCA1NwSuAmBacN60xb8fy8ZbXAmN0cKb5dvPwd+PX8Pr/10Hm1dStrnhPhKzOIWSodQPw/MjgnBVob55x2NXl7u+Eijbp8mCiWBKR9n8bKvFwqATx4biVd/openIXlulFE3czowkQOnjurjyiOj+uDDRSMZnWMtwfeRuCF5brRWvTp7xEfC3by28XHDe2U+qzcpCeDMTeP+KppY2pLkEn6O6IZf2irNHd14YUc+6lo6jRaoFAAI9BZbsmuMaOaYEDPUzwMTjSyf+fbZz2dQmNXSliSX8HNkfESAXcX3v7f/EpLnRgEwbD7asCCGdgVbeyN5rnHTGN8++10MsjMtnRTO67VN4RJ+joiEAqQsHGGRaz0UGYS35kRhVnRv9GGZSLK8sQP+3hKj5qM5I0Otnq3WXPibWNUwKd1tCqEAmDyQnpIuOlSqlUPCErji+Xlg3ui+2HvhHi/a/6G9vXG1Qr+Y48xoGbYsiwUArIofCIWSQPQ7Gejopq9sJKlsaseC0X2Nmo/oVLDlQqifB5rau9HcYVm3X1PLetKxhkuVIZJVUyPw8oxh+P70bZPH7nk+jsOV2OESfp7YsiwW7/16iZMmXQBg/4vxUCgJfJheiNKaVoQHeuHNOdF6fuQioQCfLxnNqmqtpgeZMfORpn35Xl0rba21IWbH9EZCTKh6oPngQKHFLQ90lvWGBr5QPw/MHxVqMkGIUKAS/LX3c/zNjJYZnRhmRsvMFidgDJepj2c27JcjNfcmq3P/HBeOdx4ZzuicDHkZ1u0r1Ms6a4gQXwmOv/EQKweRpB35nFJj7Vw1UWuwOVlcg8e3nGLdHhNIP/jc16fTvnfd9G3kyogqrduO328aTAMHAKu+O0M5AGiu6PiAiRy4hN8MsCn+OSDQE8f+Np3V9ciH8VBhucka8ps5uIQqlARGrPuNcaUdQ4LHp03d1PUBmCUJJhPaOhUmV3RccQm/lYUfoE4Kmrgjj3L0fygyCKnLJ/By3Qx5Gd74+aJe4g1jji1M22ey1TAleFy96ejsy81V5dYWcQm/DQi/ISwx+iuUBE7dqMHJ4hoABCYNDMJEA7HpbDCUUJJqP0xH8KjaC/QWY0z/Xjh8pRK6T6iXWIR/Lh4FAJT9SJ4bBX9vCa9+8PaCS/htWPgdBbr7YbqCZ+i8zm4lvj1RijOltfASi/DYmH6YPCRI3Sbb6zkqLuF3Cb8LJ8Xl2+/ChQuTuITfhQsnxSX8Llw4KS7hd+HCSXEJvwsXTopL+F24cFJcwu/ChZPiEn4XLpwUl/C7cOGkOEw8P+moaKmCnS5c2CLk80/HcddhhL+pqQkALFaw04ULW6apqQl+fn5Gj3EY336lUol79+5BKpVCIHDewA6ukAVPb9++7YqRsAB8f98EQaCpqQl9+vSBUGh8V+8wM79QKDRYNNQFcyxZ/NQFv9+3qRmfxKXwc+HCSXEJvwsXTopL+F1oIZFI8O6779pskVRHw5rft8Mo/Fy4cMEM18zvwoWT4hJ+Fy6cFJfwu3DhpLiE34ULJ8Ul/E7G1atXsWDBAgQFBcHX1xdTpkzBkSNH1H8/f/48Hn/8cYSFhcHT0xNRUVH4/PPPabV94MABTJgwAZ6envD398fChQvNdBf2gzm/bwDo6OjA6NGjIRAIUFBQwKhvDuPh54Ie8+bNw5AhQ5CVlQVPT0989tlnmDdvHoqLixESEoK8vDzIZDJs374dYWFhOHHiBJ599lmIRCIkJSUZbHfPnj1YtWoVPvzwQ0yfPh3d3d2Qy+UWvDPbxFzfN8lrr72GPn364Pz588w7R7hwGqqqqggARHZ2tvqzxsZGAgCRmZlp8LwXXniBePDBBw3+vauri+jbty/x3//+l9f+2jvm+r5J0tPTicjISOLSpUsEAOLcuXOM+uda9jsRgYGBGDZsGL777ju0tLSgu7sbX375JWQyGcaNG2fwvIaGBgQEBBj8e35+Pu7evQuhUIgxY8YgNDQUs2fPdvqZ31zfNwBUVFRg1apV2LZtG7y8vNh1kNFQ4cLuuX37NjFu3DhCIBAQIpGICA0NJfLz8w0ef/z4ccLNzY347bffDB6zc+dOAgDRv39/4qeffiLOnj1LPP7440RgYCBRU1NjjtuwG8zxfSuVSiIhIYHYsGEDQRAEUVJSwmrmdwm/A/D6668TUBWrNfi6fPkyoVQqifnz5xOzZ88mcnNziby8POL5558n+vbtS9y7d0+v3YsXLxJBQUHqh8wQ33//PQGA+PLLL9Wftbe3E0FBQcTmzZt5v19rY+3v+/PPPyfi4uKI7u5ugiBcwu/UVFZWEpcvXzb66ujoIA4dOkQIhUKioaFB6/zBgwcTKSkpWp9dunSJkMlkxJtvvmny+llZWQQAIicnR+vz8ePH0zrf3rD2971gwQJCKBQSIpFI/QJAiEQiYtmyZbTvw6XtdwCCg4MRHBxs8rjW1lYA0EvyIBQKoVQq1e8vXbqE6dOn4+mnn8YHH3xgst1x48ZBIpGgqKgIU6ZMAQB0dXWhtLQUAwYMYHIrdoG1v+9//etfeP/999Xv7927h4cffhi7d+/GhAkT6N6Ga8/vTFRVVRGBgYHEokWLiIKCAqKoqIj461//Sri7uxMFBQUEQaiWnsHBwcRTTz1FlJWVqV+VlZXqdn7//Xdi2LBhxJ07d9SfvfTSS0Tfvn2J3377jbhy5QqxYsUKQiaTEbW1tRa/T1vBnN+3Jq5lvwtanDlzhpg1axYREBBASKVSYuLEiUR6err67++++y7lHnbAgAHqY44cOUIAIEpKStSfdXZ2Eq+++iohk8kIqVRKzJgxg5DL5Ra8M9vEXN+3JmyF3xXS68KFk+Ky87tw4aS4hN+FCyfFJfwuXDgpLuF34cJJcQm/CxdOikv4XbhwUlzC78KFk+ISfhcunBSX8Ltw4aS4hN+FCyfFJfwuXDgpLuF34cJJ+f/toYinRdZnMgAAAABJRU5ErkJggg==", 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" ] @@ -691,7 +720,14 @@ { "cell_type": "code", "execution_count": 16, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:45:04.285335Z", + "iopub.status.busy": "2024-08-16T20:45:04.285117Z", + "iopub.status.idle": "2024-08-16T20:45:04.311341Z", + "shell.execute_reply": "2024-08-16T20:45:04.310689Z" + } + }, "outputs": [], "source": [ "# Clip it to area of interest\n", @@ -701,7 +737,14 @@ { "cell_type": "code", "execution_count": 17, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:45:04.314153Z", + "iopub.status.busy": "2024-08-16T20:45:04.313783Z", + "iopub.status.idle": "2024-08-16T20:45:04.825021Z", + "shell.execute_reply": "2024-08-16T20:45:04.824458Z" + } + }, "outputs": [ { "data": { @@ -715,7 +758,7 @@ }, { "data": { - "image/png": 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", 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Jt7aggtWUfsbQCLAdpG29Yu3fLJgQ1J5hNY1fvXo1AHSwrG/YsAGzZs2Cq6srsrKy8M4772DSpEm4d+8eoqKisHHjRowfP159fHl5OW7duqX+++9//ztqamrw/vvvQyaToX///sjOzu5gtLMlsk5V4R9bT6DNxqzUSkq1nJg94kFGx9PFK9kYFenc+e1KCkcqalFd3wyprwcGRQY45PTeUSDJKziwfE8po8quQjFzaHd8MCXO9IEafPDLGaw/VGnyuBA/Dxx6ZzRySmVY+kspquT3R/lQfw8snhSL5LhQtl3mlZRNR7GHZSFOANi/YBQipd4W6JFlIMkrLMzyPWdsWugAEN6ZfSBMt076vfJ0GR4ViJxSGV7dUqQldEC1nn9VYIu9ok3JSegA7EroXCBiZ0HWqRtYW1ApdDdM8k1BOWvBMbXKe7hJsPSXUoO7DhRUFnuhnHB6vbeX03kn30/iuSe2BxE7Q9qVFN74sVjobjCiul7BeoQNYziyt7dTHUZ0XYSy2Ee8s4fTeV393eBvwbTgtgIRO0MKL91GU6t9mDeov15vbj/J2CuMYugh8NOJa4yOk8mbGB3HF1yFDgB/LBzLY09sFyJ2hhwuvy10F1hT39yO2MXZjPber99ltp3W0sbsoVDboGB0HB9cr+X+YKn8yP4CYLhCxM4Y+xjVdaEYOtuwda4xRYCP9bwbH/t0P6fznEnoABE7Y4Y+GCR0F8zClLMNF+caY4T48V/H3hDNHAKDdr6SaIGe2DZE7AwZ0iPQorXdLA3tbGMI2rmGD7zdJRgUGWD6QAHpH9FJ6C5YHSJ2hqjyyz0kdDfUcBmEdbfXdCPn3kiKxtyRkWaP8I0t7TYf/z5/a6HQXbA6xIOOJdklVViy6wxkAuYvm/9YT2w7dtXkFpgu746PQVw3f1TXNyOn9CayTldphbeKAIyODkYXPw9kHDEvZDhtQgxjl11zMccSv2/+I4gK8eGxN9aD7T3PKcTVWVG0KVFxqwEdQs6sTGSwNw6+PRqf5ZzHyv0XGZ0jEqmcbW7WG7aSUwB+P1fDSx/Zhs4KxZjP8yACUOEExjoidiM0KdqxIqsUl2oacP5mHWrutQrdJQCqQBSJWITEqCDGYqcoGBU63/Bt3TfGpucSMHML9xp3FFQJKh1d8ETselC0KZH8eR4u3bK90cnL9b7x605DC8Qi0/XfvNzEaFRYL1OsSKSy7luLkXFSs9ugoEpUaa9TeiYQA50OH/xyBr3e22uTQgdUkWXfHqrALydvICXjhEmhvzY6yqpCBwBPV4nVQ1352DNnk5HWHiEjuwaPfJKLy7et6+bJlvJbDVi2x3RGHLEIWPl0PFoNZAiyJI2KdhypqMXQHoFWvW7lRxOQX1Jt1pTekSFi/4vZ3/5p80Jng5ICOnu78dLWc4PDUV2vgLebBI2KdvxaetPkOb+dkVld7IBqSv/DS0Mx/RvDachtheyj1/HKjuIO7/sB0E2MzkesPRE7VIa438/dMn2gnVFd34yJfbsi1N8DMnkzJ4ffUH8PLJ3ykHpafrj8NiOxf/tHJRIiOmN8364crmoeg6Is69CjaFNi8+FKlN+6h5q6FnTx80BkkDdmDI2Am0vHlTF9/OXaRnQP8MJDoZ2MPoz0VUB49N8HIBYBl9K5L1eI2KFapzsitNV+8aRYvLKliFMbiT0CsfvUDXXaqUGRAQjwdjMZ6EIBmJdxAmvEIkEy11R+NMGs/XdD6KucQ6OZ4VfRpsSzX+7FUdPPRcYoKeDBhXs4C5441QCIScuym/BVpoT6e+Dg26MhEYuQXVLFWey6bS6eFIs/K2qxgUEKK91+CAEXwRsy9jEtAOLv4QJ5cxvr6zKFntKTtFQsUbQpHU7oALB4UiwkYhHalRSW/sIuvbQhZH+lnapvYu5vIHTqaS5W+rd+PNnhPSaVc2gsKXQASP6C266B04vdWHCIveLrLlFPnY9U1LJ2qzUE/Ujcd5ZdjjdbTz2tyw/Hr3WIEGRaOccatHAs/+X0YrcXt042fDStnzoQhW+hUQDushjZgfupp+2Jf+ps320vYpahxxq4S7gtiZxe7NZ067QWKd8XYfjHucguqRJcaKH+HoKHu655sj/rc/Zq7M4o2pQ4W2W5qrxsyf7nI5zOc3qxW9Ot05rQ6+s7DQqE+nswCont5OmKd8fH8NYHEe7bDvRBl836ufg6DpfftlhYbHJCN7POf3697YTDisA95bXTb71xrX5q61BQ3RjL9pQibUIM5mWcMHnO3aZW3G1SIMDbFbUN5gX9mCoYkXWqCu/9XKK1hWfJIhNct+IUbUocvmQ7BR/NCdZx+pH9H9+bvyVlq1BQWcM7e7vjxcQIRues2l9ultCn9AvF93OG4ODbow2KNj2rFPMyijrs1VfJmy1SFpqeQXzxVH/W5357yHYKgpjr/+8UIzvtwVRxuwEiAAPCOyO0kycGRQbg+BXbeWpbiht3GhlXfDEXP0+Vi66mI47mND7r1A2Te9Xv/HSat7LQ2SVVHcpUMeGHl1QVhH8rlZndBz7gI9DH4cWuz+Npc+EVAKppYxvHbQx74n+3n+KcG9fDVYz0Jx5C5onryL9g2qV4Z/E1bC68rP5bc2rerqTw5o5TJtu429iKlbkX8c8xPTn2WkV2SRVe3VLE6bvTLrd1LHceuPDikGC8P3UQdhVewT92ntb67G8D/PB/fx/By3UcWuymPJ742n+2dcx5nDW3KrHv7E2UyfR5bHekvlm7KAVtKFz9XDzKZPVoYFjXesMfFUgdHcVpdFe0KbHxj0p8lnOe03fXHEVdePT8Sx3RFf87YYDBzycPeQCThzzA2/V0cVixM/V4EsFeM8Jbj6zTMs6/EW0oXLLrDJpamRtD7za2cgqTNea7boofXhraIYhG0c7s4cSEzn7+vLXFBYcVO1OPJyJ005j7G1EApwSdbB2CmPquazJraHcsMVLe2t/THQA/oc9CO3A5rDWe7Q8b182yNd0J7GHjEMTGd12Tbw9fNmr9T+rThXWbhhDagcthxc72h313fCzOfpCMZwaFI8jbfotBWApfDwmnXPVcCfR2Y+R5R2+rvbX9JGffdWMlpl9I5CcdtgjCO3A5rNiZljMS4b5Lp6ebBCum9cWxtCSUrxiPYB8iekCV4mr55IesuuRZNiXOpHEuu6QKwz/OxdNrC7Gz+Abna+lG5ml69h2/fIeXSjkvDo/Um9jCmjjsmp0uZ8RkDafPpVMiFuHoe0lI+/kkNh+2nSAIIRgdLUX6r+esdr25IyMxvq9xLzpzttX0QdsH9O3Lh/p7YGD3Tjh++S6ntvuG+SFtYiwf3TQLhxU7ACwcr/qBDVlnmbhnLpvSD16urqwNP44E25BWrgR4u+LDKXEmU1nRMfp8zjSkvh4GHyAyeTPnbdrZw7sjbaJhA6A1cYpMNcY86Jju4yralIhbkg0Fw/rkzk7qoz1w/uY9/MYgX93wqECkPNqT8f/H4fLbeHotf8Epof4eyHvzUTzyyX5efS8WjuuNuY9E8daeLqT8kx7cXMRm1x1zcxHj/IfjMeHzAzgja+CpZ45Lzy6+6Ozlxkjsj/aWstpP5ztGXyZvxhs/nODdyaqbv3VclJnisAY6S9CupFDbxJ+ThSMj9fVgZCQVc6gew3eMPgXgl1P8+8Cnbi3mPajHHIjYWcBniidHRXN3g0nN9zkj2FupB0UGMI7RF5p3dpzGoQu3bKKENRE7C+wtl5q1ocWnubuxcHys3prvYpHK6k4bUdlAp8fWvKatcrepFc+u+1OdOUhInMJAxxdMDUMTHuqCPad5TBhuJxja3WhXUvjj4i38VHQNDYp2JER0xvPDzN935hq+KgT0Q2n1c/G8JeewaCrp9PR0JCQkwNfXF1KpFFOnTkVZWZn688rKSohEIr2vH3/80WC7N2/exKxZs9C1a1d4eXkhOTkZFy5cYNM1q2Bq+khPYf/z9ECc/3Ac3ny8JyTW7KCApE2I0ZuwgnZ8mbH+CDKLb+C30ptYf6gSuefMfxgmx4Xi4Nuj8f2cIRjRM8js9iwJPaIa89azNKzEnpeXh5SUFBQWFiInJwetra1ISkpCQ4PKOh0eHo6qqiqt19KlS+Hj44Nx48bpbZOiKEydOhWXLl3Czz//jBMnTqB79+4YM2aMul1bwdj0UXcK6+YiRsqjvVD+0QSs5JAhxZYwZmSjH3DRIX7YfeqGVi45et9ad+Slw175mNZKxCIM7RGIUb2CzW7L0tCZg4TKo2/WNL6mpgZSqRR5eXkYOXKk3mMGDBiA+Ph4rFu3Tu/n58+fR+/evVFSUoI+ffoAAJRKJUJCQrBixQq89NJLjPpijWk8jSEvK2MOOu1KCrklMry76zRq7rXaRbSdCMCmFwehvrkNKRmq9F2UzucUgE5errjbeD/JQ6i/B9ImxGDZnrMGp9giACE8VotRtCkRnbbXZnK7G+OLp/pjSn/zkmACVt5nl8vlAICAAP0BC8ePH0dxcTFWrVplsI2WFlXoo4fH/e0UsVgMd3d3HDx40KDYW1pa1OcCqi9uLZLjQjE2NgRHKmpRXd+sN/2SLhKxCGP7hmLsX26g7UoKBy/U4Ov8cly/24SGljbU3LN8VhQ2UADO36zH7BEPYrU4vsMDrpOXK+40tmoJHVCN3KYSXGqOcnxUe2XjHi00QqX35ix2pVKJ+fPnIzExEXFx+t0B161bh5iYGAwbNsxgO9HR0XjggQewcOFCfPXVV/D29sZnn32Ga9euoarK8DQvPT0dS5cu5dp9s6Gnj+ac/0hvKR7pLVW/16RoR8z72Xx0jzfoUGHdB1yQjzve+KFY7zlsBlc+dzhMuUcLDT2bESqPPmdzaEpKCkpKSrB161a9nzc1NSEjIwOzZ8822o6rqyt++uknnD9/HgEBAfDy8sL+/fsxbtw4iMWGu7dw4ULI5XL16+rVq1y/is2Q8edl0wdZmfDO90OF6QfclP7dIBaJOCWk0IXvUW7AA50R7MNPXXo+0bctaW04jeypqanYvXs38vPzERYWpveY7du3o7GxETNnzjTZ3sCBA1FcXAy5XA6FQoHg4GAMHjwYDz/8sMFz3N3d4e7uzqX7NovQmUz0cadBv6D5GJE7e7nyOsrxHQnHJyEWzInPFFZipygKr732GjIzM3HgwAFERhr2jlq3bh0mT56M4GDmVlJ/f1WOrgsXLuDYsWNYtmwZm+7ZPUJnMtHHf/MuoW94pw43KR8jMp+itEQkHB+kPhqFxKggVkFXloLVND4lJQVbtmxBRkYGfH19IZPJIJPJ0NSknaPr4sWLyM/PN2hci46ORmZmpvrvH3/8EQcOHFBvv40dOxZTp05FUlISh69kvzBNuGFtUr4rQtrOEqwruKSuoNM/vJPZ7dJJJfmAT1dmdx6dI3p28cHQHoGCCx1gObKvXr0aADBq1Cit9zds2IBZs2ap/16/fj3CwsIMirWsrExtyQeAqqoqLFiwADdv3kRoaChmzpyJtLQ0Nl1zCGzVotxOQZ0LfnnWWcwZEcnbWpsvAx2fhj6G2a4ZUXD+Fib27WoTYifusjbIst2lWHfQtgSvS2yoH0qrzN/u/H7OEF623viOceeTED93LJnch/f1ukXdZQnWIW1iLMbH8ZfV1BKcNVPomtFxfDAoMgC+HraZnkFW18Kbx6A5ELHbKF8+MxBebrb732POdNAS21ASsQgrnniIl7YsAQVh/eIBInabRSIW4d/T+wvdDaP06erL6bwQfw9eo79oJvXrirGxUtMHCkSVvBkrc4UL8CJrdhsnu6QKr31/Aq02WIAybUIMquub8XVBBYzdRf+Z3g/B/p6MXYvNJeW749hz2jaqr+pjDU8POrJmdzCS40Jxbtk4rH8+AXFd/RDo7QoX4Q27EIuAZwZ3x1vJMZAa8VgTAUj/tQyDIgMwpX83q2xDJfUJsWj75iLUdN42LRoELSRiEUbHSDE6RjVFbVdSHYJw0veU4ptDlVbrk5ICRn96AE8lhONmvcLgcXwHvDBBqEATplj796AhI7sdoumjTo+U703qg/Mf6s8ZYCmq5M34bB+zNag1U3rZQ446IVKcEbE7EG4uYpx83za9Dq052jJJMiI0Qsw+iNgdjH9lnxW6C1rwvZ/OlOS4UKx+Lh4h/tqiCvH3wJrn4vHfZ+IR4C1cdBwf7sZsIWt2B+OXU9wLHJoLnblG829AuLBOQ0lGckplWLanFLUNhm0NlmZLYSXmjOyB2nsKxH+Yo/cYqRcwZ1QMnh8WwUtRSLL15kBknarCvL/SR1mbiX1DkXW6SitphFikygvPJV0039AlwPIv3ELe+RqhuwMvNwmaFe1QMjx+8kOh+M+z8Vrvsb3nidgdhHYlhYc/zMGdRuumthIB8PdyhbxRf149EfhNn8yF9KxSm81ew5bKjyao/0322Z2UlbkXrC504P603ZCOhHYTTc8qxVf5jiF0AIh4Zw/nc4nYHYDskirGW2CWQDfhpC5CpU9WtCmxtsC2owe5cOQit9+SiN3OaVdSeGWLMOt0NsjqrL+vvPlwpcOM6JpM/+Ywp/OI2O2ccZ/8JnQXGFF7z/zklGyxdE6/2cMj0cnL1aLX4BMidjumSdGO83fahO4GI4TY07Z0Tr8NhyrwPwO74fUxvdDJ0/ZFT8Rux6TtPC10FxgT4u9p9Ws+M7i7RdtXUsDagko0Klpx5N0xVvPOG9iFm3sMcaqxY3adFM6Bhg1CeNABQPHVu1a5ztqCCohE/GbLNcbGVx/jdB4Z2e0YhQ3GuOsignAedNYKNlFSwJo861j9+4b5wYdj+i0idoLFCPR2E9ShxtZDXdnSN8wPu1JHcD6fTOPtmO7+Lrgst00DnQjAwbdHw9NNuAr1dKirTN7MaIqt69tvKwyL8MPXs4ZyHtFpyMhux2S+9qjQXTAIBeutmQ1hLNRVH7YodACYOTzKbKEDROx2TYCPG4IEDNM0hRAJGnQxFOpqT/xzazEv7sZE7HbOsbSxcJPYSkoGbWxlzZwcF4qDb49G2oQYobvCiZY2JQ5eMD9Sj4jdATi/fDweieosdDfUCJWwwhgSsQhBvvZb9XdtwSWz2yBidxA2vjQMZz9IFrobgiesMIatzDS4IG8yP6KRiN2B8HSToPKjCfAScI/FUgUg+MAeElEaom+Yv9ltELE7IKUfTsCgcOsn8Jgx5AG89Xhv+Hu6CVrmyBBsrfOGEAnwtHhvQh+z2yBid1DuNPNYd5ghmwuv4PUfTuLptYUY/nGu4IUM9cGHdf7/nuyLReOi4W6lah1jY6W8+CsQpxoHpb5FWGcbmbwZr24psokpPZ1/7nJtI7oHeGHG0Ah1IspDF2uwcn85q/b+uHQb+8tq0NJm+dnL2Fgp1s5M4KUtInYHJTLQC7I668eQ01BQTZWX/lKKsbEhjIx1+irdsDXy6baRe06GdQe1k1gszzqrToQ5KDIA249fZ5VcY0fRdVZ9YsKkfiGAUoRLt+5BJAL6h3fGuxNiefVAJGJ3UF4ZGYXDFUcF7QOb0k/ZJVVY+kspquT3RRfq74HFk2IZzwz0taEPJQV8la8KXFk4PhZLJscKnu2ne4AP/vfx3ha9BlmzOyjDewcL3QU1pjzpskuq8OqWog4ipZcCTNb+htowxtqCCijalEiOC8Wa5+LhLaAfvzWcdYnYHRSJWISPp/UVuhsAgMpbDQY/a1dSWLLrjN5bnX7PVHbadiWFpb+UspaLkgKW7T6DdiWF5LhQnFryOOY/FgUvV+ub24c+GGTxaxCxOzB/HxQOT1fh/4u/P3Klg1jblRQOl9/GY/8+YNS2oLkUMMSRilpWI7ommwuvqHcOJGIRXnusF1Y/+zB6S304tceFTl6uGGKFiq5kze7gnF02Dg8tzkZ9i/W34mhkdS1a63ama2tNjC0FzA24kcmb8cqWIoyODsYf5bfR3Mq0Tgs/fDTtIat4Gwr/2CdYnNNLk3F00RhB+7CvVAaA29oaMO7qaq4bLD3nyD1XY1Whh/i5Y40VtybJyO4AMNmyCvZzx3ODH8CWP68I0sfM4ut4e1wMp7W1qaCaQZEB8HAVW31E5kKAtyvSJvZBiB+3rUVzIGK3c5hsWSnalFj002lsL7omVDdR29CKzYcrOa2tTQXVSMQidOvkifIaw4ZAW+F/BobhiQHdBLk2Ebud0q6k8OXvF/D57x3LPlVpeK+duHIHX+dX2EQWFi5FGx7pFcRomhvX1c8uxL7rZBXeSo4RJCKQ1Zo9PT0dCQkJ8PX1hVQqxdSpU1FWVqb+vLKyEiKRSO/rxx9/NNjuvXv3kJqairCwMHh6eiI2NhZr1qzh/q0cnKxTVei75Fe9QqehoMpw8pWNCB3gVrRhzXMPqy33Pxdfx+Hy23q34f4WH85HFy2OUHXvAJYje15eHlJSUpCQkIC2tjYsWrQISUlJKC0thbe3N8LDw1FVpe0A8fXXX+OTTz7BuHHjDLa7YMEC5ObmYsuWLYiIiMBvv/2GefPmoWvXrpg8eTK3b+ag0FVJmdDSZjtr2FB/D8wYGoEvcy/iLsPY7LGxUuSdr8aSXaVa7qwhfh5YMlnbs25YzyB4uUnQqBBu14EpQqXrYjWyZ2dnY9asWejTpw/69euHb7/9FleuXMHx48cBABKJBCEhIVqvzMxMTJ8+HT4+hvct//jjDzz//PMYNWoUIiIi8PLLL6Nfv344cuSIed/Owcg6dYOx0G2NuG5+cHMR44XESEbHD+zeCU/Gh+GVLUUd/NZldaqtMk3POkWbEgkRtpOtxxhCJdEwa+tNLpcDAAIC9FtKjx8/juLiYsyePdtoO8OGDcOuXbtw/fp1UBSF/fv34/z580hKSjKnew5Fu5LCuztLhO4GZ3JKq5F16gZSR0eZLIYo9XHF93OG4p2fjJe3euPHk2hXUpiz6Shi3s9G3vlbeo9z58ELlq8VtpDpujiLXalUYv78+UhMTERcXJzeY9atW4eYmBgMGzbMaFtffvklYmNjERYWBjc3NyQnJ2PVqlUYOXKkwXNaWlpQV1en9XJkjlTU4o6JOuhCwCbZ5Xs/qx5WH017SO/nor9eH0x9CEcra03WfW9oaceYf+9HTmm10eM6eXHPPffs4HBsfnEQb3aPReOFMc4BZog9JSUFJSUl2Lp1q97Pm5qakJGRYXJUB1RiLywsxK5du3D8+HF8+umnSElJwb59+wyek56eDn9/f/UrPNw+DDRcsYW0zPpQtFOID2eWMqm2oRWFl26rA09CdRJIaKa0Olx+m1GbFbeaTB5zs557qO+gyEDUNio4n69LtQB16mk4bb2lpqZi9+7dyM/PR1hYmN5jtm/fjsbGRsycOdNoW01NTVi0aBEyMzMxYcIEAEDfvn1RXFyM//u//8OYMfo9vxYuXIgFCxao/66rq3NowdtyssSiq3LGx877rggfP/kQkuNC1Qkk9DsD8buHIAIgFotYp8vi+3evvG3ZmvHGYDWyUxSF1NRUZGZmIjc3F5GRho0t69atw+TJkxEcbDzUsrW1Fa2trRCLtbsikUigVBq2Jru7u8PPz0/r5cgMigyADx+LT4GRN7WqjWsSsQhDewRiYt+uAIDdp26ot9b4jgKjANZCp9fX/CaqFG4jlNXInpKSgoyMDPz888/w9fWFTKbyd/b394en5/362xcvXkR+fj6ysrL0thMdHY309HQ88cQT8PPzwyOPPII333wTnp6e6N69O/Ly8rBp0yb8+9//NuOrORYSsQj/MzAMG/64LHRXeGHhT6cxNjYEOaUyvR6AaRNi4OYihoLn7UN3FzHjLUlNz73Fk/hJcNE/rJPZbXCF1ci+evVqyOVyjBo1CqGhoerXtm3btI5bv349wsLCDFrTy8rK1JZ8ANi6dSsSEhLw7LPPIjY2Fh999BGWL1+OV155hcNXclyS+theemau3GlsxZe/nzeYtCIl4wSigtk74ZhizgjTW39iEfDfZ7QDVNp4euh07cz/d2KKiKIoW3GwMou6ujr4+/tDLpc77JS+XUlhWPrvZhmcbAlvVzEaDASviAD4eEhQz3OWXLFIted/6prh3Zv/PjMA4/9aWgCq+AM+RnVvCXBq2XjerPFs73kS4mpHSMQiLJ1ifv5wW8GQ0AHVypZvoQOq7DSnrtVhTIwUAd7a+/2h/h5Y81y8ltDblZTJ/X6mfDR9gKBVckggjJ1Bb1st+OGkXbiGWosNzz+M3LJqHKu8g0s19TCVqyP3XDXOLE1G8dW7qK5vRpCPO0ABtxpacLj8tnpn4Mvfz5vc72fKiqyzcJWIBEutTabxdkq7ksKIj37HDQHTRdsKnbxccfy9sepRc23+JSzPOmvyvLQJMZg94kGDYcIT+4bimwJ+A4lEAG+59Mk03kmQiEW41cCfswcT+ob5QXcWKhapAlZC/ITzA3hhmLbR7eodZnvZl2sbDWbOqZI3Yy3PQqcxlUDTUpBpvB2jtNINE+Dtig+nxGF83656q6u4uYhRcL4GM9YLE7j02b7z2HCoAi8kRiJ1dBTjUNqGljZOmXPMgU0ufb4hYrdjuvi64nqdZf3lXcXAF38fgGFRKicXNxcxZo94UOuY7JIqvLODHyOWKcbHdUFWyc0O799tasVn+85jbcElrJgSB7EIMPUszD17E3eahCmTJYT7M5nG2zFsglC40qoEZqw/YrBQIz0NZhqjbi6FJhI/3Gtpwz9+KEZEkOnRXSihA8K4PxOx2zGNVrxX9VVn4VqcgQsiAIHebqhtYPZQuVQjnA+6MUQQLsyViN2OabOikUdfdRZzijOwgZ6/TOnf1ehx9oKpBJqWgojdTskuqcJthqMcX+hWZ+G67tS9zU3d9iH+Hpg/phe8BK3FZj5iEbDqGeFKWBMDnR2SdaoK8zKEqzpKi5zpunPzC4Pg4iJWh7IO7N4Zxy/fUf99u74FqVtPGDz/bqMCn+07z0vfhURJAZ293QS7PhG7nZF16gbmZRgWhjWgRU6HfsrkzXrX7SKoRuVhPYM6TFvpbad2JYXhH+cavV6THRR/YIqQSUjINN6OyC6pElTousYliViExZNi1Z/pHguYXp9aa91vKwiZhISI3U5oV1J444eTgl3fkHiT40Kx+rl4hBhJMaUPOhf8Xga11+2Fzl4uBu0PQlrhacg03k6Yv7UIDQIGvnTx80DvEB989+cVHLp4C4vGx8LzL4OZ6RRT2nCp4moPTBsQhvWHKiGCdj4aprMcS0MCYewARZsSvd7ba/Xrpk2IQZCvOzYdrsTxy3c7fD42Voq1MxO03jNVZJJ2wnGIm06H7+cMgbxJYbL2Hl+wvefJyG4HLPrplNWvGervgVmJkXhlyzG9QgdUueDnbDqqFrypIpPWdMKxJrQhkn6wsZnlWBMidhunXUkh67TMqtcUQTXlVLQpTeZkzymtRpOiHXnnq/WO2DKNIpP+nm4ON3XXN0WnE2naGsRAZ+McqahFY6v11uqhGoa1uZuPMTrnwz1nDI7Ymp53umWc7ImVTw0wmeve1iEju41jzX3ZcXFdsPKZgZD8lV+98BKzQg2nrsmNjti0513tPfMSbfi4S3DPVAoaCzB3ZCQm/uWqa6tTdCYQsds41tyXnTk0Un3jHqmohaKd2era39N47TaaAG83hPh5sB7hZw7tjnFxoegf3gl9FmebDF1ly9/iu2HfueoO6ad83CX415N9tXLS2eoUnQlE7DYO7aVm6bVugLer1h4wmxnFnBEP4uBF07OAEH9PPD3oAdaur+PiQjEoMgDfHqrgXegAkNgzGB//rR8Ky2/j8KVbAFSCHvJgoN2M2kwgYrdxJGIRJvcLtXip5ifju2nd2ExnFAO7d8LwnsGM3GYHdu+MTYcrGfeJPu9OQwuGf5xrsQdeiJ8HJGIREnsGIbEnv5VobAlioLNx2pUUdp20vJfZ7lMyrbxo9IzCFLMTIxm5zU7uF4pBK/Zhbwm7nYXJ/UKRknHCYkIX2qvNmhCx2zjW8h3XDF0FVDOKtAmxJs9btucs2pWUUbfZl0dG4qv8ClYpmUP9PbDqmXjsOlllkX15ujy00F5t1oRM420ca1rjda/FJBxTM3miptusrE5lfe/k6Yrle8+x7su746LR2Zu/fXndnHQhFvJqs2WI2G0ca1rjda/F9EGjeZxELIK8SYF/ZZ8zS6ivbS3G431COJ+viQjAyqfj0dnbzS63zPiCiN3GMRUzzhf61q5MHzSax/Hl+04ByD5jvuegpfzS7REidhuHNn69uqWoQzQVn+hbuzLd9rvToHKWsQXfdxGAafHdMLxnMEL8nHMENwQx0NkBhoxffPFiYoTekY+tkc4WElF8+dQAfDq9P54Y0A1DezjWPrm5kJHdTtCNGfd1d8WLG4/y0vbYWMNrYzZGOiFTLtEE+roL3QWbhYjdjtB01XzpW35KLXm5SYzuMzMV8N6SKsZllyxJdX2zVkx9J3dX5Jy7icu1jYgI9NJKusEWeWMrXvz2CG7Im9HV3wPrZw2CvxczV2FbgIjdTtl3roaXdsbHhRid6jI10m06fBlAxy0ua1N5qxGJH+Xq9b8vuABsLryilXTDVLINmkc+ycXl203qv6vkzej3wW/oHuiJvDdHW+4L8QjJVGOHRL6zhxcjmAhA2Yfj4Oai33TTrqRQWH4bKRnWK+9kDl6uYjQyzEQ7NlaKJ+PDGGWV0RW6LkIJnmSqsSJMRwU+qahu4M3a/fLISINCt8c8cUyFDqiSbuhLzKGZbCM5LhTyxlajQgeAy7ebIG9stfkpPRE7R7JOVeG9nSWobbxfIz3EzwNLJlt2Tzf5izxe2uke6ImF4/Vb2m0xT1yovwe6dvJA0eW7Fu0XBdWMZ+kvpRgbG4IXGdpGXvz2CHbMS7Rgz8yHiJ0hmqN4zpmb2H26Y3CKrK4Zr2wpwutjeuHlkQ9iS2EljlbegbebBNPiwzAsqmOxBLa0MIwxN8Vzg7vrfZ/JXrmXq8Rq2XM6ebpi1rDu2Hr0qsFceHyjWebqBsOZDdPjhISInQFsp7Sf7TvfIWY7s/gGvN0k+HR6P84j/9Jf+KuB/vywSL3vM9krt2aarLtNrfj894tWu54m3xSUoyvDXAJdLeQDwSfEqcYE9JSWj7Vrg6Idr+iUPWZKelYpNhy6YnYfaD79TX9wCtOttk6eriYLMto7uedqsOa5hxkdu37WIAv3xnzIyK4Hesp+404jluzm3/3z7R2n4O3mgj8rboNJVhRFmxJf85y8gk6GobtuZ7rV9kJiJD7fd96iLrxCQwH46cRVdA/0NGmNt3XjHEC23joglBW6k5crPpr2UIcpfruSQtrO08g4cpX3a4pFwLll2ltvdKFFU1lnDr49GjmlMruz2HNh7shIZJ+R6RW8kPvsbO95InYNbMEK/cVT/SH19UB1fTPKq+/hq/xytLRZrkdpE2Iwe8SDWu/RvwOgv4yRZupkeha0t6RK7VjjiMwdGYl5o3ralAcd23ue1Zo9PT0dCQkJ8PX1hVQqxdSpU1FWVqb+vLKyEiKRSO/rxx9/NNiuoXM++eQTNt0zi3YlhXd2nBZ8SvrPrcV4em0h/rm1GP/JvWhRoQPA5drGDu+xKdZIu/COs9EQ0r/Fd0OIn/n+8msLKuDpJsGOeYk4vPAx7JiXaBdTd01Yrdnz8vKQkpKChIQEtLW1YdGiRUhKSkJpaSm8vb0RHh6Oqipt49PXX3+NTz75BOPGjTPYru45e/fuxezZs/Hkk0+y6Z5ZTP/qD7vwEuMbQ/7sbIs1DooM4JQm2lLQy42P/9YPANTfo/JWA74/cgWyOnY57JUUsPlwZYdZkD1h1jS+pqYGUqkUeXl5GDlypN5jBgwYgPj4eKxbt45xu1OnTkV9fT1+//13xueYM41fvucM1hZUsjrHEdC3ZjeH7JIqvPLX9N/SiEXA7OGR+KZAZWg0tdzQpF1JYWXuBWw4VMnqAT9jSHcsmxpnRq/5xarusnK5HAAQEKA/aur48eMoLi7GqlWrGLd58+ZN7NmzBxs3bjR6XEtLC1pa7j+d6+rqGF9DE0WbEt84odABYM4Iw+6ybFG0KXH9ThMe6RWMIxW30aTjusq31X7l0wMwvm9XDOzeuYOR0FR+uZxSGT7fd4FDf4Re5JkHZ7ErlUrMnz8fiYmJiIvT/7Rbt24dYmJiMGzYMMbtbty4Eb6+vpg2bZrR49LT07F06VJWfdbH8+sL7fy/kD0iEfDyiEiD7rL6MBYHkJ5VirUFHQs4xIf7Y1hUEAZHBuLY5Tv44vcLZvddN1CF7XLDnGw6/cM6ce+4DcBZ7CkpKSgpKcHBgwf1ft7U1ISMjAykpaWxanf9+vV49tln4eFhfL934cKFWLBggfrvuro6hIeHs7pWelYpDl+6w+oceyXI2xXx3QOQEBGA54dFsBrRs0uqsGSXdmHGAG83fDglDiev3TFYwKLoqhyBvu7YUXTdrO251Ed7oGcXX4NCZlOSyZxsOlI/2/eSMwYnsaempmL37t3Iz89HWFiY3mO2b9+OxsZGzJw5k3G7BQUFKCsrw7Zt20we6+7uDnd37lZWRZsSawssW2XFlih4+zFOSRsMrcNrGxSYl1Fk0ovOWMnnQRGdcaTS9MM2MSqYt/pq5mTT+cfWIqRP62u3yStZLdgoikJqaioyMzORm5uLyEj9/tWAago/efJkBAcHM25/3bp1GDhwIPr168emW5zYfLhS0CQL1mR0dDAnobcrKbzzk3F/fHN+QiZC57tiizmpue80tuFVju7OtgArsaekpGDLli3IyMiAr68vZDIZZDIZmpq0PYsuXryI/Px8vPTSS3rbiY6ORmZmptZ7dXV1+PHHHw2ewzf55/nJ9GLr+LlLWPlttyspHC6/jZ+Lr2P9QXZVXCzB5H6hHabtijYl1hVcwvs/l2BdwSUo2pjHsdMZc83x61/6S6lWqSx7gdU0fvXq1QCAUaNGab2/YcMGzJo1S/33+vXrERYWhqSkJL3tlJWVqS35NFu3bgVFUXj66afZdIkTv5y8gbwLtyx+HVvgxOLHGR9riwkrdp2swlvJMeqa8f/cegJ7TmmXhFqedRZzGBocNVNzc4EOf/0spwyJUcF2lara6dxl07NKLV4R1ZLMHhaBrDMyRoJcY2CfWR+24CpsiO/nDIG8SYEFP5xEo8JweO3ckcx3GLJLqrAoswS1DQrTBxtByCIUxDfeyBfPOnUD8zJOWLln/BEe4ImCt0ZrbYNV3mrAd4WVqL53f7rdxdcNS6fEMb4B6eAXWxrRNZmdGIF1hypNHsfWSUjRpsSQ9H2obeC+VDHlwGNJSA46A7QrKbz3c4nQ3TALqY9q90EiFmFQZAAKy2/jws16/E/CA+jk6YYgHzeE+HuynlpaoriDSAS4SsSs1tOG+OnEdUbHsXVpdXMRY8UTD5nl9aebxsqWp/ROI/YjFbVmPcFtgeNX7mLyygLMGxWFd3463cF4RofJGrvh9DnH8OXP3quLD4Y8GIjGljZsL7rOi9AB4A4LI6G+wB5jJMeF4r/PxCP1+yLOuzOaaazoLUIhkpGawmnEbisBGuZy6lqdwZHobmMrXtlSZHCtrs8AF+rvgUSe9rD/Z2AYXhz+IIZ/nMtLe1zgUqhifN9QrMQAs5d4hy7W/LW0avwr2MZ4impr4zRir73HLsrJntE3pTRkgKuSN2N7EbNpsjFEUOW147Ik6PRXqKi523wiADOGRnA6d3zfrlgjFpm1G7Fyf7nBz3RTVAuB04g9gEHNMkdB35TS0tVV6Rz0TD3Uxsd1weNxoeopbmH5bTy77k+z+jAkMsCswB5NP/t9pTJGRkGm2MLa3mkSTtq7XzNbNEXHhwEu1N8Dc0ZE6nVGGRLZGRW3GjF/6wncvMvsOlklN+HuIlZXWr3VYP7Ma+PswWa3QfvZp03qg8eimXt/MkFzbS8ETjOy2+QGsgUJ8rkfN2BudVURoF5vvvl4NDYfrsTl2kZckNWjsKIWhRX33V534gbjcFbNUc4cN1ZAtcfOV7guoFr2/M5TPT1dlvxyBoMiOptVZJILTjOyVzvRmh2AltrYCMnHXfv5H6qTisrNRYzZIx6Eq0SMwxW1ekXN9LmqOcqZcmMVAfB0FXf4XCxi50zDBHrZYynKZPXYXHgFMe9nY84mfspuM8FpRnZnMtAB0JoWD4oMgL+nK+QMsrKIRRS+e2kwbt1rMbhltGx3CdYd5Ce5JD3r0HRj1Z0Z0Ff/7O/9MTq6i3pm0T3ACzOGsgvXZYIl/A4MkVNajTmbjqqryloSpxG7MxnoAO3RXCIWoX+4P/LOm44HqGtuh1gkwpT+3fR+np5VypvQdftJJ7o0lXnG0nngzF32sCWntBpNinaLT+mdRuwh/p5Cd8Eq0IkWdcNCw1nsPxu62fnMAWCon2wzz1gCc+0HXFiRVYplUx+y6DWcRuwDu3eGWASHjmGn5bB4UmwHcTQbCSDRxdDNzjUHgKFpub5+Auwyz1gC2n5gqFCGPgK83cwKqqm8zc7zjwtOY6A7fvmOXQjdzUWMlU8NQIC3dk5ykY4mOnm5qp1RaPTldQdUBqeCC8wsyyF+7nqTRSjalNjLMmlDF183/PcZZvnnbQnafsAEEVRGzMKFjyFtQgzna0YEsvf8Y4vTjOzWXodxZXLfUEzs3xViMfDuzhK1XzhFAZ29XDFtQDeMiQ1RC9LYdJf2zz50sQY365mNOksm9+kw2hpKKGkKOvLu8Thhp+VcMGQ/0ERzhuLmIsasxEh8c7CCk3FvEY+7CYZwGrFr7jvbMium9UV2SZVeP+07ja1Yd6gSCRpiMTTd5ZKI4sXECK3RVtGmxPPrC1kn5fRyk+DfGqWphZ6Wc0XTfpBTKsPO4htaU3Vdw6HmjgKb5+LYWKlV9tudRuxtPEVgWZp53x3Dsct3jR6z8KfTRl0uuSaiGBsbov4319F8QpwU/3nmYZsfuZlCP6iG9gjEuxNiTc5QDM0IXCUitLZ3/DHHxkqtsu0GOJHYdxabH+xhDfadNb22vtPYisJLt5EYFdThMy5+8LqWcS7ZfERQ+cfz6dxiazCdoRjaUVC0KbEiqxSVtxsREehldQ86pxH7vRbm1mh74HC5frGzdQjRtYxz3V6zA9unVdH3YPB0k1h8e80YTmOND/Z1NKca/fJiG7evaxk3J8X22oIK3hJWEPjHaUZ2XZ9ve2fogx1HdYC5W/DwqED0D++EoQ8GYYjGCMQ204smjlDp1JFxLAUYofQGt8KPfOLtJkEDC+cWQ3TyclULVDf9USdPZjXDD168jYMXb2Pl/nKtLCpcMr1oYs7DgmBZnEbs1jSE6OMfj0bhP/sv8tIWnWdO3/aaO4egEM0sKjOGRuDDrLPgmnPY3IcFwXI4zZqdzxJCbHko1BvtPJiwQvzc1fnl6O01XWNcC4c1M92zpb+UQiIW4dHe3JI2iEXc00IRLI/TjOzPD4vE8qxzglz7jKwBD0qbTB9ogJlDu2NcXKh6X9cSaaboLCqvbD6G54dGIJdD4gY+670T+Mdp/mfcXMR4MTFCkGsrKeCWGe664+JC1embAMvGW+ecrcbzG46yWg5YIoEEgX+cZmQHgG6dhAtz9eKwG6Dp7KJoU6qTNtQxSEJhLvRyQF/EGgXgb/Hd4OXuYrEEEgT+cSqxC2kpHhQZgKOX7zBOl6zp7PKv7LOcXFf5oIufO2R197fzdP3BCfaDU4ldKEuxWKSyGYQHeDEuNUSL6sSVO4IWonwsRoqJfbvZVcQaQT9OJfYZQyOwbM9Zq1+XqeHq9TE9ERHkrRZVu5LCvO+41yHjg8pbjR3cPjWXFGQabz84ldjdXMSICvbGxZoGq153wAOdGWUs3Xi4EmkT+6j/Nsd1VR9MUzxr0qRo0/pbXzQcm/roBOFwKrEDwLiHQvBlruEyPXxDVwHx9XA1aUGvbWjF69uKAQAhfh6IDvHhtS+dOaROoqj7+/aGouGUFNTvE8HbLk4l9nYlhR+OXrPqNen96+3HrrI6T1bXzHsxyrQJMQjx90R1fTNW7b+I8zfvmTxHIlHdIkyi4dYWVOCNpGgypbdRnOp/5UhFLW7WC5M/PrP4hiDX1STE3xNDewRiSv9ueDJef6poXcbGSgEwW1LQgTAE28SpRnZ7yUNnCbr4uqHkuhx7S6rQPcALzw6OQPreMpPnURTw8qZjuFBdz+g6JBDGdnEqsVsiH3h4Z3dcvWPZ2cKA8E44ee2uWca66nsKLM+6vxOxPOss+ob54dQ149GAH2WbfiBoQgJhbBenmsYPigyAN0/Rb2IAwT5uFhc6ACRGBeLcsnGYMeQB1ud6/fV9daPYlBRw6lod+ob58dFFNV0EKLBAYIZTiV1VLZSfLLNKADX3uBcFYMPQB4Pg5iLGkslxCGFQejrAyxWfTe+HzS8MQnOr8fj5kut1KFnyONImxOCRXuaXKE7degJDV+xD0r/zMGfjUdxrbjN9EsEqOI3Y25UUCs7XoMIKlTf4RDNRhUQswpLJpre2Vkx7CE/Eh+F8dT0jo9q2o1cwKzES528yW5eboqquBeer7yHnbDXilvyKySsLeGmXYB5OIfbskioM/zgXM9YfEborrHlhWAR2n7qBw+W30a6kkBwXijXPxXeoBgOoUm/995n7+eSYGsu+PVRh0Ui6U9fqiOBtAIc30HHNoW4L+Li74LN9F9R/a6aPGhsbgi9/P4+1ByvQ8Ffm3HstbVi2pxRiMVilmLp6txnL91iuHjmgEvy95jb4eDj8LWezsBrZ09PTkZCQAF9fX0ilUkydOhVlZfettZWVlRCJRHpfP/74o9G2z549i8mTJ8Pf3x/e3t5ISEjAlStXuH2rv7BEkgdrcq9Fe71Lp4/KLqlCTqkMX/x+US10fcfMGBrRoUacIUqskKNv/lZh/fydHVZiz8vLQ0pKCgoLC5GTk4PW1lYkJSWhoUHlax4eHo6qqiqt19KlS+Hj44Nx48YZbLe8vBzDhw9HdHQ0Dhw4gFOnTiEtLQ0eHuZZdi05NeXKu+OjOWe61UwftWTXGb0PMb5STFmCk9flQnfBqWF112VnZ2v9/e2330IqleL48eMYOXIkJBIJQkJCtI7JzMzE9OnT4eNj2M/73Xffxfjx4/Gvf/1L/V6PHj3YdE0vtuhEI/XzwJAHOzOq/KIP2v2WyTFHKmoxZ0QPTimmLAGXZJgE/jDr15fLVU/qgAD9yRyPHz+O4uJizJ4922AbSqUSe/bsQa9evfD4449DKpVi8ODB2LlzpzldA2AZJxpzCfB0s5r4quubMSgyAL4ewmbWpXl6ULjQXXBqOItdqVRi/vz5SExMRFxcnN5j1q1bh5iYGAwbNsxgO9XV1bh37x4++ugjJCcn47fffsMTTzyBadOmIS8vz+B5LS0tqKur03rpMigyAKH+HrCFVAt0He9zN01vh/FFgJcbJGIR0gUsOaTJnBFRQnfBqeEs9pSUFJSUlGDr1q16P29qakJGRobRUR1QPTQAYMqUKXj99dfRv39/vPPOO5g4cSLWrFlj8Lz09HT4+/urX+HhHUcNuoQuAEEFr5li6uod8/b5RVDVaWfCzPVHkJ5Vion9u6kDWoRi7kiSeVZoOP36qamp2L17N/bv34+wsDC9x2zfvh2NjY2YOXOm0baCgoLg4uKC2FhtZ5GYmBij1viFCxdCLperX1ev6g8hpUvohvhrT+kDvPmr/fZCYgS+nzMEXzzVH6+P6dXBy02znhob33HdBxT9dz1DrzQKqjjz9KxSrJ2ZgDkjIvVa5/09LbsdRjLP2gYiimJe+4OiKLz22mvIzMzEgQMH0LNnT4PHjho1CkFBQdi+fbvJdocNG4YePXpg8+bN6veeeOIJeHp6IiMjg1Hf6urq4O/vD7lcDj+/jv7eumWSZPImvP7DSUZtM0Hzhta9lmbeNkWbEtFpe01O5Tt5ugIiaCWoDPX3gKebGJdq2M8Ozn84Dm4uYnVKqR1F13G2qo7TtqQIQOkHyViw7QT2nrlp8LheUh/s/scIMqJbCFP3vC6s/hdSUlKwZcsWZGRkwNfXFzKZDDKZDE1N2gUQLl68iPz8fLz00kt624mOjkZmZqb67zfffBPbtm3D2rVrcfHiRaxcuRK//PIL5s2bx6Z7RqFL6E7p3w1DewQixJ/ftNKaFUzpa03s2xUAtDzg3FzEmDMi0mR78qZW3G1sxetjeuKLp/rj+zlDkPP6I5yEDgATv8wHoErNVV3fjFKOQgdUddg93SRYPeNhzB0ZCd38k2KRKu/ebwseIUK3IVjN31avXg1ANWprsmHDBsyaNUv99/r16xEWFoakpCS97ZSVlakt+YBqFF+zZg3S09Pxj3/8A71798aOHTswfPhwNt1jBW2842sfXreCqb46bLQHHD0D+Dq/wqDgKKhG0K1Hr+Lg26MhEYuQtvM05/6dv9mAJkU7JGIRp/rr+Ks/L+tMyReOj8UbSdEkAaUdwGoab8uwndIAKkEyTe3MhBlDumPZ1DiDLrr0AEiv3wvO1zDy1/9+zhAM7RGIGev+RMGFW5z7F+DtipRRUZwy7A6J7IRNs4cSEdsQFp3G2zOKNiXWFVzC+z+XYF3BJSjalEaDSriws/gask7dMOiiq+nd1q6kUNvILESWdg6KCDQvMURtQyu2F7HLwUeXdto6N9Gg0NuVFA6X38bPxdfVyxWC7eEUUQmm0h+PjQ3BytyLWH+oAnIzSivVN7djXsYJo8doercxdfoJ8FLtHCQ80BmbC82LFzhbxSyM9eHunTEuLsTklDzrVBXe+7lEK2ttKKkaY5M4/DTeUPpjmtnDI5E28b4VfWXuBa1IM0vxxVP9MbFvVwz/OBcyebNRY5kIwJhYKfaVVlslqEcsAs4tG2dyyr58T6nB9b8I95crBMtApvEaMEl/vO5gBZbtLgGgsqL/c0wvrHkuHqE6+/Kh/h4YGytlHEVmCqmvB2OnHwpAjpWEDgDRIX7YfLhSvbugj+V7zhj9bSkAC386Tab0NoRDj+zrCi4xNkbpOn4Y2ivfcewq3th+yqy+dvZyxbH3xqr33rNLqrBkVynveeJNIRbB6H4/vYWm6xCTdeqGyeUKzetjeuKfY3qZ002CAcjIrgGbtMaa++RAx315WphdO5ufPfVOYytySmXqv5PjQjF7eITZ7bIl4YFORj+nK72kZ91PbKFoU+Ltn5hvAW44VElGdxvBocXOxjWVaYEDPoJr6JJQmiK4eqfJ8AkW4s/Ldxkdt7agAk2Kdnyx7wIGfPAbY3ddALjb1IojFbUce0jgE4cW+4yhER28u4xRySAZJR/BNZoWeRpbzreupIABy37DZ/vOo0FhPFutPmwxr4Az4tBiZ+qaSnP5NrPqroaCa9iiKQK2DyZr09xq2FhnClvMK+CMOLTYAZU75yiG+dDzL9xCdkmV0WNo55w/ym/jxcRIbH5hEL54qj82vzCItVg1RcDkwRTXjXlBh57B3uw6YwHoGP5BkfqTmxCsi1M41cx9pAcOnGeWHWbpL6UYGxuiNshpos85RyQCHu0djDkjemD28EhGfuciqMJedUVAW711r0FbxUf17oKn1xYy+h7vT+yDAxduYt3By4yO5xvNGH59vyXB+jiF2NkEvdBr6aF/FWagMeScQ1FA7rka5J6rUe/F/3622uCWlikRGAssaVdSCPHzMLlF5yIGhvUMwnmGxRgtQQjxorM5nELstFGNadCLrkGJiXMOoHpQyOTN+PKp/rhZ34L8C7dQdOWOlvVaUwSG9vLdXMTq6Dnd77Fksunv0aYE/pV9Fk1mrLMB0/vwmnT2csF/nopHbaOiQww/wTZwCrG3Kyn4e7phXFwI9pbITB6va1BiUptck+V7z+Hg26Mxe8SDBgVtLATW2Gh44sodRn1YW1CBt5N7M++0Bp29XJH6aBSeGdwdoz89wMidN31aX4zgoVYcwXI4vNj1icoQhtbSbJxzNLfVaGcczSWBok2Jt7efxPai6x3OpQs8GPIpZzrDAFQjsggiVqMzzSO9ghHb1R9uLmIsnhSLV7cUQQToFXxnL1ekT3uITNftAIe2xtNx5UyFDuhfS3PZA9e3t5yeVYre7+3VK3SgYwisLmxnGNfuNrHaeqTZWXwDT68txPCPcwGoElboxgSIAEzqG4Jj740lQrcTHFbsbEs/aSaF1IXLHrjuUoA28Jnqj+bMQDdOvIKhHwBN9wAvLBwfqzd1FBNk8ma8sqUIX+VXdHjIUAB2n5Jpuf0SbBuHncYzLf2U+mgPJEYFGzUo0XvgxkJlafQtBdhMv2lWZJXi1j2F1nfwZVEUUSxSPaQAbQv/jqLrKK1iVteNyYPS2FYlwbZwWLEzddHs2cW3wzYb0DHq7a3kGAAd98D1obsUYDv9BoDT1zsK8h4Ln/Q5I7TztGsmmuQLXfsEwbZxWLEzddHUd5wxS/kLiUqjjipjYqVaSwFFm5LRDgAT2DwvLt3SnvJzmV0whfi+2wcOK3bakcbQtpEhy7uhZJFVf61fTSWv+P1sNRRtSri5iPV63FmLnNJqNCna4emmqvPGZXbBFOL7bh84rIHOWHSaIcs7E6OeqVQfdKgsbZATMpR7hUYcOpvtQ6YQ33f7wmHFDhiOTjNkeeernnv5rXsWmzKzQTNkl8v2ocjAvzX/Jr7v9oPDTuNpkuNCMTY2xGA5piZFO1ZklaLydiOUPA3DNXUtgo7oNJqpp2cMjcDyrLOs+kW79gLoYMMgvu/2h8OLHUAHLzaaOZuOIqe0mvfraaZVNoa7iwgtbZZ7KizSyB3HZvsQANImxGBWYqT6oWjsgUmwD5xC7PqwlNBFAI5fucvoWEsKfWysVG2co1k4PhZKCkaXGLThUlPogOEHJsF+cEqxNynaLSJ0gN32mDFEItPGQEOMjZVi7cwEvZ+9+Xg0btc346fijkk6bHUdrrnUigj0wqLxsR0eZATTOKXYNa3UtoqLSIRWhmof+EAneLm7mBSCqa1AW1yH687ACi4AmwuvGH2gEfTjlGJnklhSaFpZWNL6dPPHB1PijB5jqjLOxL6h+OKpATY1ohtbauWUVmPOpqNE8Cxw6K03Q5hbINHWMLWtxsR7Lut0lU3ld2ey1KIdhwjMcEqxL9KpcGLPiAC0KZVGSzUx8Z5jmjffWszdfIzRcfawJLMVnFLsnm4SjI2VGj1Gt6ihxHZmt1pQANL3liE6ba9W5RZNmHrPWcLLjgvtSgqFl24zOtYelmS2glOu2QFg7cwEg2vCsbFSrHnuYa195XUHL2HfWctY8PmALtXUpgS6+ntoJatk6j0nRKEKzejCIG93QAQcLr8FRTuzJYWjLcksiUMXdmQC022de81tiFvyK+f+0RODl0dGYsOhSsY3s7mIRcALid2x4dBlk0UcmZRpNpd2JYXC8ts4fOkWymsa8GdFLWMnJH2c/SDZabfh2N7zTjuy03i6SbBs6kMmj/PxcEHfMD+cusYtHlxzW2tkLyme/eZPTu2wRUmBUe543fh3S5BdUoV3fjqNu42tvLQ3sHsnpxU6F5xyzc6VXakj0DeM+ayBJm1CDA6+PVq9fz3kwUCzi0PyydDIALyRFG3Ra2SXVOGVLUW8Cd3NRYwf5g7jpS1ngYidJbtSR6BkyeMYGyNFKMNab0G+7h1cT80tDsknhytqjRr4zKVdSWHJrjO8tvmfp/rblE+APUDEzgEfDxesfT4B/57en9Hx+pI7GAq/DfX3wOzh3fW2Y8lbW18tdr44UlELWV0LL22F+ntgjYHEoATjOP2a3Ry4ZsOhMRZ+mxARqDesNK6bn8X8+gFVkMwbSdEd1u+Gil2YQtGmxA9Hr/DWPwexJwuC01vjzYVOYwVoB8HQMjCUnpoJhgRm6XRXaRNitMpP6cvJ5+Umwfi4EKyY1tegYc9S/RTBvN/VUWB7zxOx8wDXUk7msLv4OlK3Fluk7ZlDu+ODKXFoV1JYmXsBn+27YPBYEVTbiQt1vBJN+eKbS6i/Bw6+Pdqp1+1k600ATGXD4Zt2JYXle89ZpG1A5VyTXVKFJbtKTVaMpQC1qGnBWzKTLQ1JYc0eVga69PR0JCQkwNfXF1KpFFOnTkVZWZn688rKSohEIr2vH3/80WC7s2bN6nB8cnIy928lAHRyhyn9u6lrvFkKLrnyTGXFpRGLgC6+7nh1S5FJoWuytqBC7Z9vyUy2mpAU1uxgJfa8vDykpKSgsLAQOTk5aG1tRVJSEhoaVDnKw8PDUVVVpfVaunQpfHx8MG7cOKNtJycna533/fffc/9WDg6bm5zOAFu6NBlpE2LQp6uv0eNnD4/E8r3nWCfh0AyksZaPPUlhzQ5W0/js7Gytv7/99ltIpVIcP34cI0eOhEQiQUhIiNYxmZmZmD59Onx8fIy27e7u3uFcgn7Y3uSLJ6lcgGePeBCzRzyo13AmFqm86Eb17sJ5Ck6L3Bo+9oHebiSFNUvMWrPL5XIAQECA/h/9+PHjKC4uxqpVq0y2deDAAUilUnTu3BmjR4/Ghx9+iMBAw+uxlpYWtLTc37utq+OvrJGtY2rLjybEzx1LJvfpYCTUrP2mGTDj5iLGz8X6K8wygRY5l0y2bFk2Jc6pjXNc4GyNVyqVmDx5Mu7evYuDBw/qPWbevHk4cOAASkuNO2ps3boVXl5eiIyMRHl5ORYtWgQfHx8cPnwYEol+3+clS5Zg6dKlHd4XwhovBIa2/GheH9MLqaOjWAvicPltPL22kHV/dANpLGmNn6vH+u+MWG3r7dVXX8XevXtx8OBBhIWFdfi8qakJoaGhSEtLwxtvvMGq7UuXLqFHjx7Yt28fHnvsMb3H6BvZw8PDnUbsgGW2/NqVFIZ/nGty1qCLPgHyvc8e4O2KD6fEYXzfrvw0aOdYReypqan4+eefkZ+fj8jISL3HbN68GbNnz8b169cRHBzM9hIIDg7Ghx9+iLlz5zI6Xsh9diHh6tlmDFOzBk3otb6hkVbRplQvFxpb2lBwoQY369mFtHbydMWXTw+AWCTCrYYWkrf+Lywqdoqi8NprryEzMxMHDhxAz549DR47atQoBAUFYfv27UybV3Pt2jU88MAD2LlzJyZPnszoHGcVu6UwNGtYND4G1XXNHdb6TGlXUnjs0wOsM8wEeLuituF+xJylnZbsAYuKfd68ecjIyMDPP/+M3r17q9/39/eHp6en+u+LFy+iV69eyMrK0rtfHh0djfT0dDzxxBO4d+8eli5diieffBIhISEoLy/HW2+9hfr6epw+fRru7u6M+kbEzj+WmDUAwP4zN/ECwxxzhuDDHdnesagH3erVqwGoRm1NNmzYgFmzZqn/Xr9+PcLCwpCUlKS3nbKyMrUlXyKR4NSpU9i4cSPu3r2Lrl27IikpCcuWLWMsdIJlsFQVmJExUriIRWgzYzFPQSX4pb+UYmxsiNNP6ZlAfOMJgkAns+CD7+cMcUq3Wbb3PIlnJwhCclwo1jwXj2Bv88MziNssM0ggDEEwNAOI9pXKkFl8XcsIF+jthtsMklESt1lmELETBIW2CwztEYhFE2K1DIIDu3fGI5/s55wchKANETvBZtBnEFw8KRavbimCCPqTg9haxVlbhqzZCTaNoVx9If4eTr3txgUyshNsHmsnB3FUiNgJdoGl9vydCTKNJxCcBCJ2AsFJIGInEJwEInYCwUkgYicQnAQidgLBSSBiJxCcBCJ2AsFJIGInEJwEh/Ggo3NwOFP+eIJzQ9/rTPPPOIzY6+vrAahKUBEIzkR9fT38/f1NHucwaamUSiVu3LgBX19fiJhWMXRi6Dz7V69eJWm8rATfvzlFUaivr0fXrl0hFptekTvMyC4Wi/UWqyAYx8/Pj4jdyvD5mzMZ0WmIgY5AcBKI2AkEJ4GI3Ulxd3fH4sWLSW5+KyL0b+4wBjoCgWAcMrITCE4CETuB4CQQsRMITgIRO4HgJBCxOyjnz5/HlClTEBQUBD8/PwwfPhz79+9Xf37y5Ek8/fTTCA8Ph6enJ2JiYvDFF18wanvPnj0YPHgwPD090blzZ0ydOtVC38K+sORvDgAtLS3o378/RCIRiouLWffPYTzoCNpMnDgRPXv2RG5uLjw9PfH5559j4sSJKC8vR0hICI4fPw6pVIotW7YgPDwcf/zxB15++WVIJBKkpqYabHfHjh2YM2cOVqxYgdGjR6OtrQ0lJSVW/Ga2i6V+c5q33noLXbt2xcmTJ7l1kCI4HDU1NRQAKj8/X/1eXV0dBYDKyckxeN68efOoRx991ODnra2tVLdu3ahvvvmG1/46Apb6zWmysrKo6Oho6syZMxQA6sSJE6z7SKbxDkhgYCB69+6NTZs2oaGhAW1tbfjqq68glUoxcOBAg+fJ5XIEBBguklhUVITr169DLBZjwIABCA0Nxbhx48jIDsv95gBw8+ZNzJkzB5s3b4aXlxf3TrJ+PBDsgqtXr1IDBw6kRCIRJZFIqNDQUKqoqMjg8YcOHaJcXFyoX3/91eAx33//PQWAeuCBB6jt27dTx44do55++mkqMDCQun37tiW+hl1hid9cqVRSycnJ1LJlyyiKoqiKigrOIzsRux3x9ttvU1AVMzX4Onv2LKVUKqnJkydT48aNow4ePEgdP36cevXVV6lu3bpRN27c6NDu6dOnqaCgIPUNZYjvvvuOAkB99dVX6veam5upoKAgas2aNbx/X1tA6N/8iy++oBITE6m2tjaKoojYnYbq6mrq7NmzRl8tLS3Uvn37KLFYTMnlcq3zo6KiqPT0dK33zpw5Q0mlUmrRokUmr5+bm0sBoAoKCrTeHzRoEKPz7RGhf/MpU6ZQYrGYkkgk6hcASiKRUDNnzmT1XYg13o4IDg5GcHCwyeMaGxsBoENCA7FYDKVSqf77zJkzGD16NJ5//nksX77cZLsDBw6Eu7s7ysrKMHz4cABAa2srKisr0b17dzZfxW4Q+jf/z3/+gw8//FD9940bN/D4449j27ZtGDx4MNOvoYLVo4FgF9TU1FCBgYHUtGnTqOLiYqqsrIz63//9X8rV1ZUqLi6mKEo1jQwODqaee+45qqqqSv2qrq5Wt/Pnn39SvXv3pq5du6Z+75///CfVrVs36tdff6XOnTtHzZ49m5JKpVRtba3Vv6ctYcnfXBMyjSd04OjRo1RSUhIVEBBA+fr6UkOGDKGysrLUny9evFjv+rN79+7qY/bv308BoCoqKtTvKRQK6o033qCkUinl6+tLjRkzhiopKbHiN7NdLPWba2KO2EmIK4HgJJB9dgLBSSBiJxCcBCJ2AsFJIGInEJwEInYCwUkgYicQnAQidgLBSSBiJxCcBCJ2AsFJIGInEJwEInYCwUkgYicQnIT/BzMH9hdlLnHEAAAAAElFTkSuQmCC", "text/plain": [ "
" ] @@ -732,12 +775,19 @@ { "cell_type": "code", "execution_count": 18, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:45:04.828076Z", + "iopub.status.busy": "2024-08-16T20:45:04.827520Z", + "iopub.status.idle": "2024-08-16T20:45:04.833700Z", + "shell.execute_reply": "2024-08-16T20:45:04.833110Z" + } + }, "outputs": [ { "data": { "text/plain": [ - "10229" + "10564" ] }, "execution_count": 18, @@ -753,7 +803,14 @@ { "cell_type": "code", "execution_count": 19, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:45:04.836413Z", + "iopub.status.busy": "2024-08-16T20:45:04.835989Z", + "iopub.status.idle": "2024-08-16T20:45:04.838928Z", + "shell.execute_reply": "2024-08-16T20:45:04.838377Z" + } + }, "outputs": [], "source": [ "# To save the results to a shapefile\n", @@ -772,13 +829,20 @@ { "cell_type": "code", "execution_count": 20, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T20:45:04.841611Z", + "iopub.status.busy": "2024-08-16T20:45:04.841082Z", + "iopub.status.idle": "2024-08-16T21:01:39.772614Z", + "shell.execute_reply": "2024-08-16T21:01:39.772020Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\dataretrieval\\wqp.py:83: DtypeWarning: Columns (9,10,13,15,17,19,22,23,28,31,32,33,36,38,58,60,61,62,63,64,65,70,71,73) have mixed types. Specify dtype option on import or set low_memory=False.\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/dataretrieval/wqp.py:83: DtypeWarning: Columns (9,10,13,15,17,19,22,23,28,31,32,33,36,38,58,60,61,63,64,65,70,71,73) have mixed types. Specify dtype option on import or set low_memory=False.\n", " df = pd.read_csv(StringIO(response.text), delimiter=',')\n" ] } @@ -792,7 +856,14 @@ { "cell_type": "code", "execution_count": 21, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:01:39.775177Z", + "iopub.status.busy": "2024-08-16T21:01:39.774806Z", + "iopub.status.idle": "2024-08-16T21:01:40.789386Z", + "shell.execute_reply": "2024-08-16T21:01:40.788732Z" + } + }, "outputs": [ { "data": { @@ -984,7 +1055,7 @@ " ...\n", " \n", " \n", - " 1443525\n", + " 1465643\n", " USGS-FL\n", " USGS Florida Water Science Center\n", " nwisfl.01.95500762\n", @@ -992,7 +1063,7 @@ " NaN\n", " NaN\n", " USGS-273926082304501\n", - " NWIS-6842517\n", + " NWIS-6842541\n", " NaN\n", " NaN\n", " ...\n", @@ -1008,7 +1079,7 @@ " NWIS\n", " \n", " \n", - " 1443526\n", + " 1465644\n", " USGS-FL\n", " USGS Florida Water Science Center\n", " nwisfl.01.95500762\n", @@ -1016,7 +1087,7 @@ " NaN\n", " NaN\n", " USGS-273926082304501\n", - " NWIS-6842520\n", + " NWIS-6842544\n", " NaN\n", " NaN\n", " ...\n", @@ -1032,7 +1103,7 @@ " NWIS\n", " \n", " \n", - " 1443527\n", + " 1465645\n", " USGS-FL\n", " USGS Florida Water Science Center\n", " nwisfl.01.95800924\n", @@ -1040,7 +1111,7 @@ " 14:05:00\n", " EST\n", " USGS-02306001\n", - " NWIS-6894386\n", + " NWIS-6894410\n", " NaN\n", " NaN\n", " ...\n", @@ -1056,7 +1127,7 @@ " NWIS\n", " \n", " \n", - " 1443528\n", + " 1465646\n", " USGS-FL\n", " USGS Florida Water Science Center\n", " nwisfl.01.95500782\n", @@ -1064,7 +1135,7 @@ " NaN\n", " NaN\n", " USGS-274455082253601\n", - " NWIS-6842917\n", + " NWIS-6842941\n", " NaN\n", " NaN\n", " ...\n", @@ -1080,7 +1151,7 @@ " NWIS\n", " \n", " \n", - " 1443529\n", + " 1465647\n", " USGS-FL\n", " USGS Florida Water Science Center\n", " nwisfl.01.95500782\n", @@ -1088,7 +1159,7 @@ " NaN\n", " NaN\n", " USGS-274455082253601\n", - " NWIS-6842920\n", + " NWIS-6842944\n", " NaN\n", " NaN\n", " ...\n", @@ -1105,7 +1176,7 @@ " \n", " \n", "\n", - "

1443530 rows × 78 columns

\n", + "

1465648 rows × 78 columns

\n", "" ], "text/plain": [ @@ -1116,11 +1187,11 @@ "3 21FLHILL_WQX \n", "4 21FLHILL_WQX \n", "... ... \n", - "1443525 USGS-FL \n", - "1443526 USGS-FL \n", - "1443527 USGS-FL \n", - "1443528 USGS-FL \n", - "1443529 USGS-FL \n", + "1465643 USGS-FL \n", + "1465644 USGS-FL \n", + "1465645 USGS-FL \n", + "1465646 USGS-FL \n", + "1465647 USGS-FL \n", "\n", " OrganizationFormalName \\\n", "0 Environmental Protection Commission of Hillsbo... \n", @@ -1129,11 +1200,11 @@ "3 Environmental Protection Commission of Hillsbo... \n", "4 Environmental Protection Commission of Hillsbo... \n", "... ... \n", - "1443525 USGS Florida Water Science Center \n", - "1443526 USGS Florida Water Science Center \n", - "1443527 USGS Florida Water Science Center \n", - "1443528 USGS Florida Water Science Center \n", - "1443529 USGS Florida Water Science Center \n", + "1465643 USGS Florida Water Science Center \n", + "1465644 USGS Florida Water Science Center \n", + "1465645 USGS Florida Water Science Center \n", + "1465646 USGS Florida Water Science Center \n", + "1465647 USGS Florida Water Science Center \n", "\n", " ActivityIdentifier ActivityStartDate ActivityStartTime/Time \\\n", "0 21FLHILL_WQX-130612585-W 2013-06-12 11:01:00 \n", @@ -1142,11 +1213,11 @@ "3 21FLHILL_WQX-130716021 2013-07-16 11:01:00 \n", "4 21FLHILL_WQX-131216112-M 2013-12-16 12:01:00 \n", "... ... ... ... \n", - "1443525 nwisfl.01.95500762 1955-04-08 NaN \n", - "1443526 nwisfl.01.95500762 1955-04-08 NaN \n", - "1443527 nwisfl.01.95800924 1957-10-21 14:05:00 \n", - "1443528 nwisfl.01.95500782 1955-04-08 NaN \n", - "1443529 nwisfl.01.95500782 1955-04-08 NaN \n", + "1465643 nwisfl.01.95500762 1955-04-08 NaN \n", + "1465644 nwisfl.01.95500762 1955-04-08 NaN \n", + "1465645 nwisfl.01.95800924 1957-10-21 14:05:00 \n", + "1465646 nwisfl.01.95500782 1955-04-08 NaN \n", + "1465647 nwisfl.01.95500782 1955-04-08 NaN \n", "\n", " ActivityStartTime/TimeZoneCode MonitoringLocationIdentifier \\\n", "0 EST 21FLHILL_WQX-585 \n", @@ -1155,11 +1226,11 @@ "3 EST 21FLHILL_WQX-021 \n", "4 EST 21FLHILL_WQX-112 \n", "... ... ... \n", - "1443525 NaN USGS-273926082304501 \n", - "1443526 NaN USGS-273926082304501 \n", - "1443527 EST USGS-02306001 \n", - "1443528 NaN USGS-274455082253601 \n", - "1443529 NaN USGS-274455082253601 \n", + "1465643 NaN USGS-273926082304501 \n", + "1465644 NaN USGS-273926082304501 \n", + "1465645 EST USGS-02306001 \n", + "1465646 NaN USGS-274455082253601 \n", + "1465647 NaN USGS-274455082253601 \n", "\n", " ResultIdentifier DataLoggerLine ResultDetectionConditionText ... \\\n", "0 STORET-301235413 NaN NaN ... \n", @@ -1168,11 +1239,11 @@ "3 STORET-300666279 NaN NaN ... \n", "4 STORET-301229196 NaN NaN ... \n", "... ... ... ... ... \n", - "1443525 NWIS-6842517 NaN NaN ... \n", - "1443526 NWIS-6842520 NaN NaN ... \n", - "1443527 NWIS-6894386 NaN NaN ... \n", - "1443528 NWIS-6842917 NaN NaN ... \n", - "1443529 NWIS-6842920 NaN NaN ... \n", + "1465643 NWIS-6842541 NaN NaN ... \n", + "1465644 NWIS-6842544 NaN NaN ... \n", + "1465645 NWIS-6894410 NaN NaN ... \n", + "1465646 NWIS-6842941 NaN NaN ... \n", + "1465647 NWIS-6842944 NaN NaN ... \n", "\n", " AnalysisEndTime/TimeZoneCode ResultLaboratoryCommentCode \\\n", "0 NaN NaN \n", @@ -1181,11 +1252,11 @@ "3 NaN NaN \n", "4 NaN NaN \n", "... ... ... \n", - "1443525 NaN NaN \n", - "1443526 NaN NaN \n", - "1443527 NaN NaN \n", - "1443528 NaN NaN \n", - "1443529 NaN NaN \n", + "1465643 NaN NaN \n", + "1465644 NaN NaN \n", + "1465645 NaN NaN \n", + "1465646 NaN NaN \n", + "1465647 NaN NaN \n", "\n", " ResultLaboratoryCommentText \\\n", "0 NaN \n", @@ -1194,11 +1265,11 @@ "3 NaN \n", "4 NaN \n", "... ... \n", - "1443525 NaN \n", - "1443526 NaN \n", - "1443527 NaN \n", - "1443528 NaN \n", - "1443529 NaN \n", + "1465643 NaN \n", + "1465644 NaN \n", + "1465645 NaN \n", + "1465646 NaN \n", + "1465647 NaN \n", "\n", " ResultDetectionQuantitationLimitUrl \\\n", "0 NaN \n", @@ -1207,11 +1278,11 @@ "3 https://www.waterqualitydata.us/data/providers... \n", "4 NaN \n", "... ... \n", - "1443525 NaN \n", - "1443526 NaN \n", - "1443527 NaN \n", - "1443528 NaN \n", - "1443529 NaN \n", + "1465643 NaN \n", + "1465644 NaN \n", + "1465645 NaN \n", + "1465646 NaN \n", + "1465647 NaN \n", "\n", " LaboratoryAccreditationIndicator LaboratoryAccreditationAuthorityName \\\n", "0 NaN NaN \n", @@ -1220,11 +1291,11 @@ "3 NaN NaN \n", "4 NaN NaN \n", "... ... ... \n", - "1443525 NaN NaN \n", - "1443526 NaN NaN \n", - "1443527 NaN NaN \n", - "1443528 NaN NaN \n", - "1443529 NaN NaN \n", + "1465643 NaN NaN \n", + "1465644 NaN NaN \n", + "1465645 NaN NaN \n", + "1465646 NaN NaN \n", + "1465647 NaN NaN \n", "\n", " TaxonomistAccreditationIndicator TaxonomistAccreditationAuthorityName \\\n", "0 NaN NaN \n", @@ -1233,11 +1304,11 @@ "3 NaN NaN \n", "4 NaN NaN \n", "... ... ... \n", - "1443525 NaN NaN \n", - "1443526 NaN NaN \n", - "1443527 NaN NaN \n", - "1443528 NaN NaN \n", - "1443529 NaN NaN \n", + "1465643 NaN NaN \n", + "1465644 NaN NaN \n", + "1465645 NaN NaN \n", + "1465646 NaN NaN \n", + "1465647 NaN NaN \n", "\n", " LabSamplePreparationUrl ProviderName \n", "0 NaN STORET \n", @@ -1246,13 +1317,13 @@ "3 NaN STORET \n", "4 NaN STORET \n", "... ... ... \n", - "1443525 NaN NWIS \n", - "1443526 NaN NWIS \n", - "1443527 NaN NWIS \n", - "1443528 NaN NWIS \n", - "1443529 NaN NWIS \n", + "1465643 NaN NWIS \n", + "1465644 NaN NWIS \n", + "1465645 NaN NWIS \n", + "1465646 NaN NWIS \n", + "1465647 NaN NWIS \n", "\n", - "[1443530 rows x 78 columns]" + "[1465648 rows x 78 columns]" ] }, "execution_count": 21, @@ -1268,7 +1339,14 @@ { "cell_type": "code", "execution_count": 22, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:01:40.791789Z", + "iopub.status.busy": "2024-08-16T21:01:40.791426Z", + "iopub.status.idle": "2024-08-16T21:01:42.193492Z", + "shell.execute_reply": "2024-08-16T21:01:42.192896Z" + } + }, "outputs": [ { "data": { @@ -1282,7 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rHezJrUIUBPJqPAX7lh8up7LefbpEV1FRUWkTdcdwkvTrFsvDL37JLddPwWp3EWDQtvAdHC2z8dGanFaPVwCHW+bZBXvolRBMXGIwep0Wq1NCVuA/q49gc0gE6jX0jTUzJjUUnRq1pKKicgZQZ5qTxGTUc+WkQew9cJSCSjsCHidyU77fmo/Gj5mpkb151azbXoDLLWPUiOgFgRHxIVyYGsaYpFACRA3zdxRTa1d3EioqKqcfVTH8BsYMTmNYejT1TonMYitWh2fibqwyUlLjURjtoc7uJreohjFJIVTaXEiygqR4dhWyAl3CAticXe15XQKHG+wND5cEknSaLlJFReV3h6oYfiNpSZEkhZuoqXczd00Oyw+WkltejywrRAYZ2uzVoNUIJIWbACgrsxGoaz26ySUpWAwaDhbZcCnNe0BICrgUVTmoqKicGlTFcAqIDTFg1Ao4JAWTKGK1uxFFgUsHJfgtw60RBS4ZGEdyhBkAh1PyW1hPkqGyzrc5yXVOlENUUVHpaFTFcIpIjzUTH2RArxG9voaUyECuG5Xc6niNIGDSa7j7wm5eE1R0sP8QVQVa9WU0xaXuGlRUVH4jalTSKcJs1DImNRRbvYTTLWN3SRi0Io9d1psgk44PVmVjbzJr94gP4rmr+mHUadhxxFNeY0z3KMAz+YcE6ggO0KERBOwuibJaJw637H3fF5IC/lsLqaioqPhHVQynkF6xZjYfrkYQBIqq7KREBqIR4M9T0rl9XFfWZ5Zhd0l0jTLTMz4YgL99uROAxPAAxvaMQqcRSIsxY9RpUBQFQRCwKFqigo0UVNZTXO1Q+zioqKicVlTFcArRiiKyAhoBKm0uDNp6YkNNyIpCgEHDhb2jm03queU29hVUM7xrBLec3xWjTkPXaDOGhnyFxrGN/8aFmqhpI2RVVRkqKiq/FVUxnEIEASIsOiptnsm7qNpBpc1FXJiRYFNLA098WABf3jeGQ0VW6p0SFqMWk953zSVFUYiw+K++qlU1g5caq50JTy2kyu25p/FmgSVPXYxWq37tVVT8cULO5zlz5jB06FAsFgtRUVFMnz6dAwcONBtTVFTEjBkziImJITAwkEGDBvHNN9+0ee433niDlJQUjEYjw4cPZ9OmTSd2JZ2E9JjAZs5hp1vGbPBMRMebgERBQBQgIcyEIECQSevXsSwIAhFmg+/3AY1vvdIuSitqyc4rpa7+7K7yOv2Zn+j/t6WUSgacaHCiIcemoduDi7jupV9YtjWno0VUUem0nJBiWLlyJTNnzmTDhg0sWbIEl8vFpEmTsNls3jE33ngjBw4cYMGCBezatYsrrriCq666iu3bt/s87xdffMHs2bN58skn2bZtG/3792fy5MmUlJSc/JV1EIIgMCj5WFvPoAAdWo3o0y8gCAJmo5b+ScGEBOpO2hQkAobfsBDetCuHX9YdwBgQQGxMJBVWBz+s3E1JRe3Jn7SD+Mu7a9hRrnhzPQRB8N5/BVif52R7bjX3/Xc1RSVlHSanikpnRVAUP0vUNigtLSUqKoqVK1cyduxYAMxmM3PnzmXGjBneceHh4bzwwgvcfvvtrZ5n+PDhDB06lNdffx0AWZZJTEzk3nvv5ZFHHmmXLJ2pMbrTDdX1LnJK6wg164kPNbbLYdz4p/A1VlEUnG4ZjahgamIO+a27hBWbDzKwdyoaUWxWPlySZA7nlREZYiQm/OxpNp/+wAIcim9lDBCqdfPw5QNYvfMIz103oMO/MydDZ/rOq5xb/KY8hurqagDCwsK8r40aNYovvviCiooKZFnm888/x263M27cuFbP4XQ62bp1KxMmTDgmlCgyYcIE1q9f7/OzHQ4HNTU1zR6dAadbwS0rmI1a3IKCW5LbHUXkXdX60dVltU5qHBIaDd7Hb8FW76BbahxajaZFTwmNRiQ1IYKFu8r4cHUOsp9kvc6Esw2loCgKlS6R1+dvoX9SKP/3+e4zKJ2KSufnpBWDLMvcf//9jB49mj59+nhf//LLL3G5XISHh2MwGLjrrruYP38+aWlprZ6nrKwMSZKIjo5u9np0dDRFRUU+P3/OnDkEBwd7H4mJiSd7KacMWQaXDIoi892uIqptbqrrXCc0oTaaPZoqB0VRUBSFmno3hVX1WAyeCXzt9ky+WryVrNzSk5Z5464jhIeY0Wha/ypoNSLThyXxwg/7eeyrXX6VVmehLQk9SkPgUFE1qYnRaBWZnzdmnwnRVFTOCk7aKj1z5kx2797NmjVrmr3++OOPU1VVxdKlS4mIiOC7777jqquuYvXq1fTt2/c3C9zIo48+yuzZs73Pa2pqOlw5uGUFjSiwK7cWd3Ex+ypqCQo2E25OJyE84ITO1VQ5FFsdrMmuJM6oQ6MReeOjpbzy0VJ0Wi011npcbomE6BA+fP5WRg3ockKfI8vgdLnR63x/FQL0WuJCTXyxIZdpA+MY3T3ihD7jTOPpiKf4NckJKCDLaLUigqhhaWYVFw0/s3KqqHRWTkoxzJo1ix9//JFVq1aRkJDgfT0rK4vXX3+d3bt307t3bwD69+/P6tWreeONN3jrrbdanCsiIgKNRkNxcXGz14uLi4mJifEpg8FgwGDwHaHTEVgdbub/spWnXvuOskqr9/XoiCDe/+ddDO+d5LfbWyONCsHulvnfplycbhkFqDO56R9tISI8mIOLn8eg12J3uvhy4WZeem8RE259haXvPXBCykEUW/agbg2HW0JA4dO1Rzq9YgjWSlRLvr/agiDQK1Rke5UeSZYRFRmNqFaHUVFp5IR+DYqiMGvWLObPn8/y5ctJTU1t9n5dXZ3npMf9yDQaDbKPRsZ6vZ7BgwezbNky72uyLLNs2TJGjhx5IuJ1CCVWJ9/vKeGDTfl898tWZv39k2ZKAaCkrIYH/v4R+3JKcEsycoNpyBeCILApt4qtedXcMSyR/zu/Cw+e34UrB8bRJzGIqy8ehkHvmfiMeh3XXjKclR8/TFpSFDc98t4JyZ8SF+a3X7UsK2QVW8mrqEdB4GCx1efYzsIV/cNBkX3fY1kiPcpIQmgAR/LLyK1y4pTURtsqKo2ckGKYOXMmn3zyCfPmzcNisVBUVERRURH19fUA9OjRg7S0NO666y42bdpEVlYW//rXv1iyZAnTp0/3nufCCy/0RiABzJ49m3feeYcPP/yQffv28ac//QmbzcYtt9xyaq7yNCDJMh9tLeDRr7bx1ifLiXJbefzf81sdO2lMH1bNe5T0pAi0GhFREMgptfLp2hw+WHmYLYcrvJOYJCscLq8jPEDPqJRQjE3KcJt0GkRBQHfcRK7TarAEGnnt8evIK64i80jz3Zc/uiREsOtALm4fNbtFUWDu0kOeJ4qCxdj5k8OemDGGu0fFoFHcLXw1etnFs5en89mGXO6dPojth8sY1j2a6pq6DpRYRaVzcUK/8rlz5wK0iDB6//33ufnmm9HpdCxcuJBHHnmEadOmYbVaSUtL48MPP+Tiiy/2js/KyqKs7Fj8+NVXX01paSlPPPEERUVFDBgwgEWLFrVwSHcWVuwr4q9vLyazwIYxJh5RY2HWuxuoqLa1GBseYuaD52/zKARRpKbexSOfZ/Dr3hIEobFaKqRFm3llxiA0Og0ZBdVc3iemVRu5L7u5VqtheP+upKfGsH1/HmnJ7b93vbtEs2X3EYb174JLkvFYuwQE4OWf9/NTRoF37KUD4wBQFI/cjRVfRcGT+d1ZSIoJ48s/dyEl0kJtvYvtWcUEGUS+25DNg++t5+GrhrD9YD6m4BCsDonKhgg7FRWV35jH0Jk4UzHdi3fkct0D72DuNRBBo0VoMJsZraXcNiqBXmnxlFdb+XrRFpau38u9N1zI4zMvRSOKSLLCDW+uY1dudYs+DaLgWfmPHhTPwxemkRBibJft/3hufuRdZl07ljGDu7X7GEVRSJn4GOldE7j2uoswm/QcKavj2825FFbZPWNkGdnl5Ne/jiclNgxXK5YXreipE9XRCmJJRh7n9Ulo5oB2SzKyrDBvxQEKy2o5UOlmYJdwbA6Jg0dK+Hz2+I4V+iRQ8xhUThed3y7QibA5XNz0wFyMqb0RtFoEQUQrCjxzZT8uGxzvjSQSBIErpwyloKSKQzlFDWtvWLW/hIwjVa2eW1bA6ZLIya8mPFDfplKwuyT2F9QiSTL7D+Xx6fwV7D2YS7AlgOiIE5skyqtslJTXUlK+j/V7cgnpOxitMQClwS8kiCKSvY7KXVtxOEY3KIXGvcIx3DIgdmy9pq/W5zBtaArQfHel1YjIosL143vw8sJ99AyEIyW11FRWc7jM0UHSqqh0TtRQjHbilGTueGMZNhfog0IQBM+te/6a/l6lAM0no9jIYEYOTKOxOMOP2wvwF5SkAHnFtdS30W2nMQNaUTyO/vS0eJ595EamThhGXmEFw69+njVbM9t9bU03jW6blbINK6nctZW6vBxseTlU7NxM2abVyPZ6EmIjGsa3fiH1DomO2oNmZReTnhCG5CPQQRQENBqBfjFGigpK2JJdxZ5CO6ufnnyGJVVR6dyoiqGdLDlYzsY1GejMx+ogdYs2M3VgvN86SDqtxrv6r7A6aCvXzeWW2ZpX3WYxvUrrsSJ3mob059uvm0iPbgk4nG6umv1fHE5Xu64tItSM/rhe047yEmoPH8B6+ADOCo8/aEDPRPQ6rd+sYp1Ow6bdR9r1uaeS0vIaVhyupUuU2W/oqQAEB1tYk1VFqElg6aMjvRFeKioqHlTF0E7WZFdSV2vzmlcApg2Kb1cmsCwrSLJMYngAmjbyGEwGLetyKrE5pVb7RSuKgt0pUVnXctJ3SxLTp4xAVhQqa+pIuvBRPv1hY5vylVVacbajJ2h4iLnNMbKi8OumA22OO9X85ePNpCeGtsu/EWo28MQ1QxifbCI8PPz0C6eicpahKoZ2IMkKNQ6JwGALjsoyr3II81MCuxFBEKhzSTglhSuGJrY62TclMTYIq1Pi9TU5FFZ7HL9uWfYeZ3NIHCq2tmqu0Wo09O5+LPu7xmrn9ic+5l/vL/H7mVW17QvVzCuqaHOMKAis25ZJYemZi/KZ/c5yAvQifRNDEI8rJ9IaRRVWdmYW8sj1o8+QhCoqZxeqYmgHouB5pPVLR3G5qCs4iqIoFFbVt1mXR1EUqu1ududWE2E2cNmg+FbHCYAlUIdOK7JsQw6fLj7AxOeWc+/HW1m0v5Sf95eyObuSQ0VW3JLvT3W5W678H39tgd/+CjERwWh91Epqyv7DRWzbewTJRzKYLCsUl9ewfON+7I72mbFOBbsOlnD/5UO85c19mbpkRcEtKazfnccz1w87Y/KpqJxtqIqhHQiCwIA4C6m9uhISGUpt1n7spUV8tyWvXcc6HBJaUaS01smVI5K5ekQyAQZNkzEQH2NmRP94kmKDOG9QAv17RDF6YDy6YBO/ZlXwa1Y5+0ttfn0PkiSzbsv+Fq8risI/3v7J53GWQCNXTRnS5rUAPPziV7gluYVy8GS2K/zf859jMuiIjQxu1/lOBX1iA0mMtHjNdI1Z9u4mSlKSZFwuiXdXHOLvM9SiSCoq/lAVQzuZnB6BVqvhohunE5McR/XeDHYsXcbcBdtaHd9YEbXK5qSm/lifZlEQmNw/loen92HUgDhG9I9jwshk+nWPQtfQ61mv1xITaSbYYmi2+j1YYfPpvJZlGbckseCX1jvfZexrqcRkGaSGx5MzLyEsOLDN+7Bldw5T73yFbXubO5gP5hRzzQNv8dOKndx46QiMhpatTE8XafGh3kgkRVGY9fdPGTfjBT77aSMHs4vYdTCPl95bxMDpT/LxJwuprKw8Y7KpqJyNqOEY7SQh2Mg9IxP536Z8Lr5xOpVFZVBewrbNu/hEdHP1RUOalapQFDhQamVlZjkV9W6qbA7qHBKCCHqDDpNWJCE8EJtLatMc1UidS2ZdbiXjUsI8WccNuwdFUXC63Dzxz3kUlbQ+6QWYdCgNmcqKDBI0UzJRkWHs/ekZ7n7qI75bmuFXjq17jjDp1n+RlhxFfHQoZRW17Mk8lh190m3oThKjQYciKyDCknV7+ewnj8P9vn/MazG2sLSamXPXMe+xqWdWSBWVswhVMZwAPaPNzLm4G1uOVrO/JBBFSaXc5qRKllm6v5SU0ABMeg05FXUsPFiGRMPOgYbQVYMWURRwOSVGRlsQdCLr8k7MSWt1SwxKCaKkxsnG3bnkFlWSsSebn3/d6rPeT/fUaF5/YgaONgKP9Hodb/39Fg4eeYG9hwr8DwYyj5SQeaRl+9WdB/LbdS2nipyiam8hwPe+Xo1GI/r0g4DAT0s3c6EdusaY+e895585QTsISZJwuc6cz0elc6LT6byh7W2hKgY/NNYDgmOr7OxSG/MzitAZNAQZtMSZDaSGBqARwO6SKap1sDCzjMZpSRAE7wK60Sqk0YoszipDlhVCgownJFO02YBOIxIfauTAvkyefftnnwldjfz09v2EBLVtJhIEAYNOw8zrJzDzqY9OSC4Ag16Lw+nGeIbzAspcWjL2HaVPt3j2HS7woxQAFKR6G5klNgprXIx6+heuH5HAzMm9zpi8ZwpFUSgqKqKqqqqjRVHpJISEhBAT03odtqaoiqEVFAWckoKkeHwCbknm+x0FLNxVjKjXEGQ2gEOiziUxKiEEbZPchMyKumPKxEezGFEUCDIbyNhXQv/j/AhtMTzpmFO3a9/uSLJvpzLA+cPS25V/0IiiKEy/YMBJKYaEmDAuu2AAI/qnnPCxv4W5917AJQ9+wkv3TsEc0LaiFTRaRFMgAfZSCis0fLmpmO6RgUwclHwGpD1zNCqFqKgoAgICTuh7pnJuoSgKdXV1lJR4dvixsbF+x6uK4ThyK+pBAZ1ei1OSWX+wjH8v2k9hpd07JiE8gCE9IpmaHovuuDDPATEWjlTVUy95lILd4abG5kQAQoOMaBsczLKsYDHrqay2ExZiapdsJq3IgDhP5vXSQ+WsLHLSY0gf9m9pvWexXqfh2QeuOKEJQRAETMYTdxxrNCIXn9+Px2deiv439qE+Gfr0TOH6577HHGBs0Rr1eIzRcSiyTH6FjcC4cCpsDt5alcuEgckdXgDwVCFJklcpqEl8KgAmk2eeKSkpISoqyq9ZSVUMTdhwqILY8AAiLAZEARbvLOTRzzJajCuoqOPH9UcZmRhCYHjz1XhejYN6ScHhlNiTWUZR2bFS3BpRIDkuiO4pYYBnN1Jb52qXYlAUhSWf/cjP/63lqkuGUx6dAsCIKeeh0+vZs3EHcpOeCpFRoXz5z9vondZ63kRTKqwOiqs9heQsRi1hZj264FBc1S0d2YJAi+Q6URDQakRu+8MYJFnGhYDhDFfSe/62MUSHGvl1Xznivlwkl5uW3Z8FRJ2OgFhP10FJUrDoBRyygt2t4HC5MOrPXDTV6aTRpxAQcGItZVXObRq/Dy6XS1UM7aGw0k73uCACDJ5b4pZk/vHdnlYjhjymIoV3Vxzm2av642qScJZZUYfLLbN+Rz71TcJUARLCTIxPCycqxIRo1LIvq4zoiLZt/wD5WUc5uM/TsH7+5hxGXZyMIAiIosjQCSPpN3ogeVlHcTtdBEeEEpMYS58eCW2c1UNVnRt7Qx1tu8tJaa2Ti/84lSU/LKOutLDZ/Go06LA73NDEqW406PjkpTtIjve0/KysqSM61HTGTRcPXDGEB4C7w0x8/OECZIf9mGNHUdAYjYT2HYyo0wPgqq3G7gZZBLdb5ulP1jLn1nFnVObTjWo+UmlKe78PqmLAU7jOZNBiaFJIbt2hMsqtvrOFZQUOFtVSU+/E1GSVWW13caSgmromSsGgFfnHlf24ZFA8kqwgKwo6jcjlfWP4PKOQvce1yzzeDFJaUMov834EwGzSYw4yI8tyM41vMBnp2qd7s+Oq7G4iAv3/iSVZoaa+ecSKoijMmpRObnkdd4xLxlRXSY21nvMGdyMk2MK8nzayestBAEYNTOPqqcPJq5dZcrAUo05DuOhm36Fcxg9P9/vZp4vrR6ey9eh4cnOLvbsefUgohvAor5lJdjlJiwqkTBaw6EX0Og3bDrYdiXWqsDnc3Pvqj2QX1uIKimJi/ziCjVq27znM4nUHqKusQHLYEUQNhuAQZl89nL/efMEZk68pigJNk+07Q88NldOLqhiAsloHoZbm5pyiKruP0c2pc0rNFINLVsgtrG025vlr+jOxr8fZoxEFNA1xSiadhluGJPDm+iNkV9R7xzfV6oqiEBByrL+Cze6kzlrXriY+FoMGrdjQJ8EHRVX2FqYhocFeNKV/LFcMSyLI1PXY9Ulw1zXjuOc6zyS1o6CGf28swO72dH7z5EooOAqLGDu0e5tFA08H5/VLZPSWI/xYWYsUGd0sCECRZRRZpnZvBgnDBqE4FGrtbhRF4pl2ZETX1Tt47r8/s2jNXmoEI0JIJGHRkaREB/PgJT0YnBLa4pj12/Yz+41lVFbb6R5voUwIZFiXMDIrFC6dMJT56w/x89ajhMhW1m3ci6uqHE8yiNLwmTaeffMHNh8s5rvnrj2Vt8ovsuL57hyfVOnGUyJGK+K3jLzK2YuqGACdTousKN7JVlGUNovdNRJpMaDViDjdMjanhFsBh9OzWzAH6BjVM5op/eNaPVYUBGRFYVL3CN7ekNvsPUVRKMjOo7KkHK1OyyW3/ZEjazay60Au2XsyGT5pjM88MgHoHhlAsFHHjgN5fPj9Rv52zzRMBh1uSfaWpS6qtlNS03qTGo0ocGHvGEx6HS7pWL0orQgeS5LCwTIbH2/N91qajt0yAX1MDF/tLOKaAf6jH04Xr946hhBxJd+tO0yppEcbYEaR3NhLCtHWlNB/2AByHFpCA/XEhZrIP3yE7Dwdw3r7jkxauGo3V81+G0kR0JqDcNcUAIc5Cuy2BLNqezYXDu3KR3cPZ+3uI/zfR9s5umcXVYUlXuV0JEvBYNBTVhDPPTdP5cOl+7lgcApBgoPXPttDamoUSekj0Oq0VBSXsX/rHmrKq1BcbpYs30p9/R8wmfSn/f5JMq126WtEVsApgU6EdpTZ6hDuu+8+1q5dy+7du+nZsycZGRkdJsvBgwd56KGHWLt2LU6nk379+vHMM88wfnzn7Bz4u1cMsuzp7tV0BV5c7aBLlIVAgwabj6wwAUgIC6BvYjDF1Q4Kquwsyy4HPD0JuiWHkhQbxKTuEUiy4nPlLIoC3SPNmHQi9Q2/xJK8IlZ88wvW6lqv6ePyiYPIOlIEgL2unh1rtzJw7NBWrkdGIwpc2isKgCf+8z3LNhzgkwXrmXbBAOKiQiitqGXKxOFER4b5vTdGncZrQpAUzzULyBwutpEWY+bn/aU+jxUEgTXZVUzuHkFoQMc4dJ+6+Xw+WXmIXtEG3PU1IMjQNYZcZwo5dpnIIAORQUbKjh6lsqSM5+ZVM35gN6KiIlucKzuvjD/e/3aDmU/BXVPV7H13bTUV29axuKKYP5aWcbjSSeGeXVSVHEsAbDQROhxOcg9l89nCzQzo253DRwooKavikj+OJ8ASiKIoiKJITFIcvYf3Z9OStezZsAPZYWfUrPfY/u7dp/O2ISv+lUJTXLLHrNRZdw633norGzduZOfOnR0qxyWXXEK3bt1Yvnw5JpOJV199lUsuuYSsrCxiYmI6VLbW+N0rBqfsCR1t3DHIskJxtR29VuTGManMXdZ6JzQFeOiSntAQkVNQ66DG6VEiA3pEERbsiacP0GkaOrj5/+U8PqEbOlFgze4j/PH573E39EdQFIXE2DDe/vtNxI+d7R2/fcUmJJeb/ucNQdfElGWtqqWLWEdKWC+Ky2tYsn4figK1NjvzftjgHRcaEc7FFw5G6ycywWxs/vVQAFkRqHdJbDxcQW47zG3b8mu4sFvHhUtGBgeQEBfB7t1ZlNZLJAZHkBCoozo3l8ytB9htqwNBICI2hhJDNENnvMaRxX9vcZ6HXvzGZwhsRKjZk9GuaBg8rCddE0OpdxWyv9S34kSA/Tv28NRtE1m9y01IYgxGk6FZdVixYSk+fNIYasqryM08ytG8st9+U9rAn+nR1/iOCFFui//85z8AlJaWdqhiKCsr49ChQ7z77rv069cPgOeff54333yT3bt3q4qhMyLLMja72xuNZHW4vSaRsT2jCbcYeHXRAaz2Y87ksEA9f53em4l9Y1AUBZckc6TajoDHmRsWbPT+uMvqnG36AxRFwdCQ3/DRF78iS3KzSeiWK8YgCGAOMFBZfazsxc6129i7aRfxXRPRGw3UVFRRfLSQbV//FYCS8lqfbTa/X7yRSyb4r6gaGdR6v4kws57yElur7zVFFPDugjqKrx6dyNAHvuGGiQM4lF/B5jVbqaqq9kQsNaIolBUUQmER5gAjv6zfxaSRfZudZ9GalrkiV04dydTJw+mWFEl6bBA1Ngc/rjvI60sOUX5wn/++EAo4rVZe/XoN6T1SCDD7DlmWZZm+owaRm3mU012Iqmm2f3vx1O1SHdK+CA8PJz09nY8++ohBgwZhMBh4++23iYqKYvDgwR0tXqv87hUDQEmtk0CjhjqXjFYj0j3WTG29m7JaB1P6x3HF0ARWHyilvNZJTIiRMemRzRLbKqxOXJLs7dncJT6Y4UkhjEwOISxA73Ej+siCbvq6w+ni+2XbW5R0GD0oDa1Gw9//PJ17/968MJzb5eLI/sPe5zqdhh21EFRtJyrc0mreAUD20WJeeus7Hrx7Ogq0aIeZFG7C1MoyUBAEBLeTp174iCGXT0Hw00ZTUiA8sGPzAhKiI0lLjGHesl1MHtaNXumJrFld3PpgRcFqq+feV3/hQBPF8OxbC5v5nES9gVEXT2BdjcLqbw8AB4gJMfKnC7tx/cQ+REUEc88TO9tMtAOoqrDi0mhAlhF93EtRFIlJjkMjiiQnnN7dl59WH36RFU+0kkpLBEFg6dKlTJ8+HYvFgiiKREVFsWjRIkJDWwYrdAY6qdvozKHTiJTbnRh0WkID9ISYdAQatEQHG+iVEITN4UanEZnYJ4ZrRyUzvld0M6VQUuPAJSnYXBIOp0RdnZN7RiVzeZ9ooi0GDNpjzWOOnySOVxa2OgfuVur8NB53w7RRRIZZWrzflAmXjmNtThXPLc9mT6WLC0f09NkDedGv27j7kblkllmpc0notQLhZj094iyEW3x3pyuvrGHXnmyy92Uh+6lLZNAIDIoP8vn+mcJRU0aftDgWrNrD2nUZLfPejqOu5lhUmSzLPPfOz97nok5P3IjzyK5pHqBQVGXnyW928d9fs5g8OJm+ae1r+2q2BGDSij6VQlM0pgDWvXFrm+M6gpPUJ78LFEVh5syZREVFsXr1ajZt2sT06dOZNm0ahYWFHS1eq/zuFcPhciuju4QjCjRzEDcWv0sMM5FdWtfCCV3vklh8oJTFB0qxuSSq7G7KKuuYMSKJxAZTkj8TktyQINaUILOJQFPLCfnXjQe8u4iDi+eQlhzVYoxGIzDl8vHE9u7hNQV8s6uE226YiLZBObVGUHISm4ttfLu/BEULyREBre4UGnG5JfY0VF7dsnQ9DrujhXJo/KSrB8R6TWTHU1lj46+vfsclf3qN6//yLj+t3NVG8buTZ9Pc29m24yBmswHF7W5zvKNJ97lPf9yI3EQBBHfphqzR+Yxa+8/ig+RX1PGXOy5Gq/O9IRcEiI6PYczg7gRqlNa3dQ0oikJ1RTUXjO2H0Xj6I5JOBnWz4Jvly5fz448/8vnnnzN69GgGDRrEm2++iclk4sMPP+xo8Vrld29KKqhxkRDSekZg4yo/2KRl5aFy9pZZibIYcLhlssrrcDdMDlkVnhafWkHgskEJiD5CNBo/4/OMArqEmRicENLsF6XVaphx2Uje+WpVs0nyw/lruf+miSB4TD6bv34Cp9PJ39/8kYKSKq6+eAj7ZAu51c2dwaIA+Rj55X/3c/mD71FRcqxns96gZ8D5Q+k9vL/3tQ+W7aWH3sHtV47zeb90Wg0ffr8erU6HtbqWH979iqETRpHco4t31RsXZGBar0j6xra+u/n7mz/y/P8WNZsLv12ynfjoYJa//38kxfqPljoZSuc/QOIfX2tznCAISM5jiY2vfLgM8ESuuWUFQ3S8Xxu8ACzYls+1I5Po1q83+7buaO1DMBh0jB7UnayCSix6ATE2yq+hXrDXM//Z05/DoBE8eQonSmeNSuoM1NV5/ILH7wpFUfR2G+xs/K4Vg9MtkxYR4DcJSxAELCYdq49W4pIVilrJhrY2RBB1j7P4XW2Dxzlt1mvZXWRlWFJL++IDN0/ih193UFRW7VUORWXV3PDQf/nkxTsRdAKiKKDX6/n7ny8H4OudReQerWpxLlmBAyU2/jSyJw/99TYys/LJzCtFb9ATm5qAVnvsz68oCiXVdt7/4FtCg8xcPmmwJzxVaGyXqSCKAj/tyKXPZVPocxlUFJeze0MGv369GGOAkcBgCx88M4MLB6X63KH855PlzHlnUavv5RdXM/Ka58lZOged7tSEudhdEsXVTipsLr578UauuudfFBRV+ByvKAppvbp5n2fllqHXaZAkGUGrA9G/XIIgkFdRh4BCRFwUwwKHk7VrL+WVx8xTUbFRRKakUqVoGRqmpQYdwbKDEtHQqi9K73bx4T3jTu4GnCCNoacn4oAWO2kmdGZmJlarlaKiIurr6715DL169UKvP3M7r5EjRxIaGspNN93EE088gclk4p133iE7O5upUztnw6hz3pS0J7OAi+78DyHD7sc8+D4Sxj/C/738A7nldVTbXe2rHSJ4MprbIjCg7S+bIICkKOwrsVJqdbQwSUSFB/HLe//HJeP6IzRRWLsP5jN/ybYmpX8U9pdYeWnFYTa2ohQaUQCHW+HuUcm8NGMU79w7hYvO69tMKTQSEReJIdDEnU98yGMvf8PRwmMTaEFFLfO2F7A0p8b7WkhkKGMvu5ARU87D7XBy6ch0BnSLwyEJ2N2eLOmml2erc/DXV7/ze38qauq497nP/I5pL1V1LjKO1lJQ5cDuknFKCrdfN8nvMXq9lv/95VLvc40o4nRJSLKCIrkR2mFNDwnQszurhNQoCzYhgIR+fbn0D5MZe8FQHnngGgb0TWPS0GTCQwLJKq7lij4WnvzjQMqzCwgRZATFY1rSShK9Aly8fGW/dmW6nyp8WP9O2fgzxe23387AgQN5++23OXjwIAMHDmTgwIEUFBwrfSIIAh988MFplSMiIoJFixZhtVq54IILGDJkCGvWrOH777+nf//+bZ+gAxCU9njIzgJqamoIDg6murqaoCCPw/OLn7dwy2MftPpTTk6I5J2XZiHrNAxJCPa7a8ipqOPNdUfajNgQBXhyYjfMBv8bsRdXHKa41kGvKDNX9o/FYvRkXgt4JlJBgO/3FJORVUKqTqJrTBAj+6V4u5Q1svxQGQv3l/qcqgQgJdTErDEp3tcaV6SfbstnW35Ns/GKLLN91WYyVm3xvhYfFcziTx/l5dXNM7ObohEFpicaGNE3pdkuoxGdCE6nkzE3vMjerLadbYIAR5bOadPR7g+XJLMtp4aoIAORQQbv39clKTz/v0W88u7CFhFbRoOeEWOH8vM/j5lshlzzT/Zn5nl3b11Hj8FuCPKbGf/N/WN4/JP19EqNpjC/GJfDicESyJyr+hIf29I/dLK09p1vxG63k52dTWpqKkbjiTWDgrYznxvpzJnPbZGdnU337t3Zu3cv3bp1a/uAc4D2fi/O0j9p29Ta7Nz61w99TppH8kp5ae58MvKq27SP5lbXtyvqQlZg5eEKn9EokqxwsNSKyy1zeY8oBkZbOFRYy+ESK9V1LsqsTtZmVzBneRZrsisRjEYig02cN6hrC6UAMCwpxK9CU4CxXZvb672Z1H1iWhwriCLxXZOavZZfUs3ri/f4vUfjUkMZ0ScFsUlyVlNcMvznk1/Zd7h9ERiKAp/+uKldY4/Hbnfy/DuLmPv1RrpGBxIbakIjCt7IMJ1G4PG7LmLJR49w0YVDiY4KIykxmj5DB/Di4zOaKQWApPjIZqv1Ixk7vOVBjkcUYFLfGGoqq7FXlbN2XQaZ2fks+OYXhoRxSpXC6UYjepLWfP3dRcHz/tmqFAAWLlzInXfe+btRCifCOetjePK1H5Db2AwtX7OLO26ZxvzdxVzRN6ZZvaSmJIUEtGlz1YkCLlnh18xyIgL1DE8K8ZbCaLTPHy618taqw1wzKNE7KQuCQHWdm+o6NwadSJzFQP9YC1nldfy6egfDx3TF7ZZaVQxmg5YbB8fzwZa8ZvI17grGdQ2jb0zLVbcgCAToNfSONrPzuIJ/rYVNVjgUzD7K+gvAeV3DfTrcG8krqfYXeNOCw7l+soZ98NCLX/PGZytRFIWf3/8L5oaGQ4IgsP9wIW9/sYKfV+3C5ZIY0ieFaZOG882LN/k9Z/cucfy8fKv3udtWS2BxJvouvSipcSA2hiELMG1QPI9d2our/jyXjRmHmp1nVzt6aHc2Gif/xqS3xvz9zupTOFFmzpzZ0SJ0Ws5ZxbBi84E2x7glCUetlbjoEN5Ym8PI5FD6xVnQHLfyTQw20CXMRE5lvU8F0eiDUIAvdxSyObeKYYkhRJr1WB0S2/KqWbSjkH5RgWjE5qGsWo1AamQgZqMWRVHoEhmI3eHixb++zpyrh7WqFBrpHWPhoXFdWJNdQUZBLbV2Ny6Hm3vHdSE9yn9Lz3FdwpopBlmSKT7aclXvdPguPx5k1GJpw3SmKAppSSe2Wg7ykwncGg//61ten7fC+7xf1xivgly4cic3Pfw/AG+eyLIN+/hl7R4OHz7Ks3++zKevafjgHhg++hmny+1VbPt3HyS1upKrpo0jPikOs0nHmG7hGPQ6csrqsQS11KJR4SdvFutoBEFNXvu9cRZvBE8RgkBisInZY5MJMmj4blcha7MqcLiO5S3Uu2WuHRBHTJOkL4FjkabJwc1zDwRAkRRKq+3sL6hl69EqdhXVIGoERnVrbpoQBegWYybQoGkQx6M0fliega3eQWlFrd/4fkVRiDIbuKJvLE9P6sZzF6dTVlzTplIASA4L4IWp6YzrGuZd9e7f2rL0Q2HWEZ9x6u2tQut0t16M0Bd/mDSoXeNs9Q7WZxzm9U9/RRAEzhvei3/+7WYOl9Wzv6CWPTml3PLoe0iS3Cx5sPGevvLhUn5cscvn+Ssqqrnz+skICM1Mb9m5pbzx1td89L+viNPaOVJipaDSjiQrXHLxaDTH2VgeuHHCiVy+ikqHcs7uGMYPS2ff4SK/Y7RaDbFRoQQZtQiCQJ9YM31iPRNqabWdDZlllNhcrDtSSXpMEOcnBLO/op7sqnpCDFqCDFq6hgawuaAa8EzSwQYtU9Ii0DeZGGLMBvpGmVl+qKxFOGtooN6bHd2UowXlaDUiny/cxNih7Wt4IwgCRq3IPRO7Y3O4CdBr2oy60ggCl/SMQpIVnn3lK2oqqluM6RWq91R/dcvNzEHWOieZR2xkD44nJdx3s3lBEFi6bk+7rgGgR2oMA3sm+h1Tb3fy9Js/8r+v12Crd6LRiDz5wNWcN7w3kiTjkhRcksKn367F7ZZ8+og0osjr835l2vh+rb5/w8RerEqKQRAUVq/fTcb+oygKBFtM3Hz5aNJTY8msdDE4yrPDURSFHLeWSycPY/5CT9FCrUYkIrRtRa2i0lk4ZxXD07Om8dYXq/z6GS4c3RedRiTc3LKeT2SwkcEpGvYVWdlRWIvLLeFSoFdEIAkWA2aDFk3DROiSFcKMWmocbi5Ki0Dbir1dAC7sFoFLVprFqoeZWw9xDQkKQJIVvv1lKzOvv4D0lJgWJqXGCU933Ouju0dypLKe1LC2zTGNzugp3cK5ZWdL81uAUcfz908HjZZqu5squ5sNORV8+GsW+SU2BODNXw7y4nUDWz2/yy1x4HAhqzYfbFMW8Eyi37/xJ79jXC6J6ffOZc22TG9W8rXTxzJ6aC+AZqv13QeO+v0OSLLM+oxjtaYURSGn0s7Go1XUOiRCTFr6RgcybtwQLjxvIOs27kGSnJgMOmoVLdqoWAZHNY8IirEYSLxguFcxzLxuXLuuXUWls3DOKgZzoJEPnruZmx59v9XVYkpiFA/PvIIecYE+HacRFh1d3QFM6xWNKAokhhoprHK0sKmHGnUEGzTYnO5mdZSa0jgB6497Xyu2Hslz6QUDefRfX+NwurnsT6/x1tM3MmFUL88kp3j6OOzJLKB/j+Yra0EQ0AjgsLuA9tnpG/s2X3pBf35csZMJI3sxoGcSBr2We64bj97gUV6RZg0RgXr+t+QQhaWe6qoK8OP2AuJDA7j/onTckqcQYSPZeaVc/cBb7ZLDEmhgwRszSYr1Xyjuy0VbWLXlmHNXoxG54uKRrf4d2xP/L3pDWWU+2FJARkGttxudIMCKrEr+0DMKlyjQa2gfT04DkGAxtPh7KwqEGXVYRRGdVkNCdAjP3T+97YtXUelEnLOKAeDKKYPp3S2Oh178mrXbs3BLMiFBgVw9bRT33nABsaEmn7V8GokLNRASoCWzxIpBK6LXerq1NaVbWABl9U56R1l8VlGF1stuONwyBl1LU1J0RBB3XzueNz9dTnmVlSv//CZpyVGcN7g7oiiwYUcWj8+8jNbSYxRFYUdeDfHhAZgN2nYnR82cMZmXHr6GyDALso9qn7nldfywLb+Fsn17eSa/7CrkqhFJ9EsKYUhKKLc89gE//JqBy49/QRQFJo/uxYUjenLDtOEEW9pWZv/7eg1iQ7QXQHxMOCFBga2OHdwvjQ3bDviMiBJFgQkjegDwza5idhR4nPGNrpPG46rq3cSY9QQZ2qgWK3j8LqKg8IdJA3nn6RvaVSBPRaUzcU4rBoBeXWP56a17f9M5Agwa+iUGU1jlIChAQ41NwSkdMwkFG7XUOl0+V/++0IoCxlaUQiNP3zsdQRCYO+9XZEUmO7eMzCMlWAJNzL7rMnr37NLiGEVRsLtktpZYKd6Uy8zRKdglia15NewptuKWZZJCTIxMDiXyODPWkF6J3tWzr8ls6e4i36W8S2288MM+AFb9bTzfLtnactBxBBj1fPsf/6aj4zmcV9assJ2/HM1J5w/g/S+WUl/vbNWkJMsK9824AKvDzdqcKp++iNxaOzE+zH5NEQWB3Fo756eEcuc/bj4nwjodbpnqOheS7MlbCA7QtbmgUjm7OecVw6kkyqJj7NR/cO+tFzFkYA/gWCnthCATiqL43TEcT0pkAHo/PzBRFHjozksYP24oqzfuxWqrJy46jFFDe6LXaSmvdRAfeqwpUKMsC/YWIwP5NQ7WZFaw5HA59ia7nCOV9aw6XMEVfWMYlRLqkZv2xabbHJK3V7U/au1ugsxGaqz+u7wlx514f4GwkEBKKo6F2eYXVVBRVUtYSMuQUHOgiecfu4mHn/2QuvrW+1vPeOR9Pnj9fr+5KtmV9fSLMmPQ+FbksqJQZXcjINAjxoJT8uQBnK3KwWp3k1/poNLmaqYwBeoJDdQRH2po0eVP5dxAVfsnwPKN+8krruThOfN4aM4nnkmgyaRs1PueNI7HpBOxmHS+JxlZoaTGweESG6HBZi6dNIzrLj+fcaP6om8o5ywrnrj8RoUEsPhAKZtyPZFFkgKLMstwHGf6akxW+mZXEYdKrd7Pa4/sKZGB3qqyvtBqBBLCTNw0fWSb53v8Txe3OeZ4rps6rJl5TJZlvvlpvc+dQ3paPM/97Waf5yspr2XD7qN+P9MlKyw5XOEti9J4z5ve+xqHm53FtVw3IJYgkw5ZUU668U1HU251sjvfSsVxSgE8350Km8vzfitFJTsLmzdv5sILLyQkJITQ0FAmT57Mjh2tVLs9xRQWFnLdddfRvXt3RFHk/vvvbzHm22+/ZciQIYSEhBAYGMiAAQP4+OOPT7ts7UVVDCdATn659//bth9kxl3Ps2jDXoqtdqrtbqx2Nyad/1saoPe8bzbp/JpAiqrsFFTa28wWFpuYrwRBoG9sEOYmIbEuuWXfB++xgqeEx+ID7c8yntg3BrNR6zOvQSMKTBsYR5BJx/MPXE6XhAif55o8uheXXTCg3Z/dyG1/GE1MZFAzJ/cXC1azfK2nr69b8vg0ZFlBlhXKK2t5/t9f+jxfdHgQE4d1b/Nzqx1u7A3+EqFh11TvkimxOdlfZkUBZo5JJi60MXQVDh4p4S8vfUNeceUJX2dHYbW7OVRc1+Z3T1HgYHFds7a3nQWr1cqUKVNISkpi48aNrFmzBovFwuTJk3G5XG2f4DfgcDiIjIzkb3/7m88ieWFhYfz1r39l/fr17Ny5k1tuuYVbbrmFxYsXn1bZ2ss5XUTvVPPNkm3c8Jf3fL6v0Yis+/IpZI2GOqfcbAUuCJAWHUiAQUtWkZUAg5a4Jmag46lzuDlQaPUrT0iAjtSo5k5XWVYorLXzv4251Djal1SmKAr3jkwiOSKwXY7qJbuKuP/jrTQESHnRiAKRFgPfPTCa6GBPgS63283dT8/jq8VbcTYkDVoCjcy89nyenDmtXfK1Rk5+Gdc++D8y9ud5EgobXh82oBvTJg0jKT6SWls9y1bvYPGK7T7NSMboOBL79KVWEhk1II5gi6H13hxArNnABam+e0UEB+joctzfw+lyEzvmAUKDAlj23gOkp566xu+nq4jegUIbFbb2T55hgTrSY1t3/ncUW7ZsYejQoRw9epTERE/k3q5du+jXrx+HDh0iLS3tjMgxbtw4BgwYwKuvvtrm2EGDBjF16lSeeeaZ0yZPe78XqoHwBJgypjeBJj22+ta3z5IkM+P/3mDJhw8jyRIL95VRaXdTXuciNFBP38RgALrFWrA73X5NNwEGLUEmLTX1ra/GBAFiQlr+YUVRID7YxDV9YvluXzElde37gc/fksf9U9pOpJNlmQt7R/PUJd3427zNiJYQAPRakemD4/i/i9KJCj4ml6jRMvepG3nzqRtxOJwIgkKg0fCb7e4p8RGsm/cwm3bl8PKHS1iw3LNb2JRxiE3H1SnyhTm1O+bkrtQ26M8dB0oZOSAOrUZsFvqqKAomnYbhCcF+z6drpW5Erc2OLCtU1dZz06MfsP6zh08oQOFM43DLJ6QUACptLk90XSdySKenpxMeHs67777LY489hiRJvPvuu/Ts2ZOUlJSOFq8ZiqKwfPlyDhw4wAsvvNDR4gAnaEqaM2cOQ4cOxWKxEBUVxfTp0zlw4FhSVE5OjreK5fGPr776yud5i4uLufnmm4mLiyMgIIApU6Zw6FD7ftxnkkCTgUfvvMjvmMfuvIioID0RFiNXDohhYIwZreLpD/zz/hLsDatmrUZsZp8+HkVRCNSLlNgcLWzZOo1AWrTZZ1MgRVEICtAR56dv8/EUuCR251a36DndGP1TVFZNYWkVOw7k8ZcXv+T+v75Fydb11GxeyY8PjGTrMxN45sq+RAYZGmTw9GNwSh5fh6yATq9HqzPgkvx2smw3giAwvF8qg3omtT34OLSWIMzJXZu9Zqt3sXFHAUcLqnHaPTsMR72dwgNZTO0WQWAbzYOOT1Z0SxJfLdoMeBYNOw7ksXWvf19GR1PdzoVEUxSguq5zmZMsFgsrVqzgk08+wWQyYTabWbRoET///HOrvUg6gurqasxmM3q9nqlTp/Laa68xceLEjhYLOMEdw8qVK5k5cyZDhw7F7Xbz2GOPMWnSJPbu3UtgYCCJiYktmlv/97//5cUXX+Sii1qfUBVFYfr06eh0Or7//nuCgoJ4+eWXmTBhgve8nYnZN01AlhWefXshTqcbUSMiSTKWQCMvPvgHrr5oCOCZvHUmHRf2jGRIcggFlQ4Meg1Ot8xbS/chCgJ6rYarRyQREqj31uFpnPxtDom1OVVodCLpcRbqHG4kGUx6kSA/TmtorIKpIDkk7/n8jRcEAQWBD7fnM2BPJpef3wdzgGfVb3c4eeI/3/Hu16tbPfbua8aSUWbnv9tLcMsKATqRMamhjOsahsHHD1DGU4q7jWZ37WbskBMvm2xJSGm1lWZtnYu9hytY9cVq5Po6b+vF60b3JD423Od9DAnQEdgk8dEtydTVO3lz3q/e1wRg+96jDOmdfMLynilOtu12e2tmnSnq6+u57bbbGD16NJ999hmSJPHSSy8xdepUNm/ejMl0YkUaTwcWi4WMjAysVivLli1j9uzZdOnShXHjxnW0aCemGBYtat6S8YMPPiAqKoqtW7cyduxYNBoNMTHNbajz58/nqquuwmxuvVbMoUOH2LBhA7t376Z3794AzJ07l5iYGD777DNuv/32ExHxtCMIAg/dOok7rzyPBb/uoKSiloToUKaN60eAqfU49+AAHcEBHmezJMOfJ3fnlZ8PMm/dYT5Zm8M1I5P447AkIiwGXJJMea2T8loHJqOWi3t6qpIGtlHBtCmiIPDR6mzeX5VNTEQAA3pEoyhKm6WxFUFguyuAOTf8i3CjyPjh6bww+wp6d43BaNDhcLrQajxtLkVR4I7rxlOXlMaGo9XeUM86l8zSQ+Vszavh3jEpPiuvyorfFscnxMgBXYkICaSsytbm2LHDe3PXjMm8sSqXwyWt+3AsRi31CSlUHzhWUPAf//6SV/9+G3q9voUfJsikISUyALcsg+LZDRaUVDHjof+S26QLngIY9J1jteqLk+2v4K8vSEcwb948cnJyWL9+vTcnZ968eYSGhvL9999zzTXXdLCEnlyhRl/HgAED2LdvH3PmzDn7FMPxVFd7wiLDwlp3yG3dupWMjAzeeOMNn+dwODxb9qaOEFEUMRgMrFmzxqdicDgc3mPB44g7kwRbTMy4dMQJHSMIAloNaDUa/ja9J49MS6ewyo4oCEQGGfhmRxFlNk+iXLzFwIQekScsl6IoVNe5+HRtDgBFZXWs3Z5PSnwQMRFmRBFkSWm1p3LjanjKzZez+JMF/LJ2D//8vyv40zXnc93UYXy7ZDt5xZVEhpm5fMJA5m4toazO1cIsJCtQWe/i+93F3DA43qeskgLaUzSfzHvpDibf8W+/kV5/vmMal00a7vEZ6H33RxiTHsnP9S4clRXYSzzjDh4u4O6H3+L6K85n/Ki+aLUaJFnhcKWNrXlVHNqRyfDu0QiOerZs28+yDfuaJeGBx/9z4ciep+aCTxPBAToE2teYqhEBCA7oXAqvrq4OUWwePt74vHEX2NmQZbnZnNaRnPRfU5Zl7r//fkaPHk2fPn1aHdPo7Bk1apTP8/To0YOkpCQeffRR3n77bQIDA3nllVfIy8trYZZqypw5c3j66adPVvxOgVYjkhh+rHb/7hIr1XZPYTw3tKirBJ7m9uU1DkLNeq+PoWkuhSQr/On9LTibBNBrNAJhwSZ0Wo9fQ6Pz/GvWaxgcG0R0oAEFhUKrk/1lNsrrXUy+4VK2fLnAe45gi4lbrjj2dzxYaqPUj5NSVmBHYQ2XOaLb7NdwKjhvcBorP/o/7nj8Iw7klLR4/4LR/bhs0nAEAcIC9VwyMI49eS0ryQJsyirn5RsG8eIPBg4fyqEuLweXrZaCkip+XreHAy4t0bGegoilhaWs/HYJVWWV/Nrq2TyIosA1Fw0lPirk1FzwacKgFQkN1J2QAzo0sPNlQk+cOJGHHnqImTNncu+99yLLMs8//zxarZbx48ef9s/PyMgAPGGzpaWlZGRkoNfr6dXLU+hxzpw5DBkyhK5du+JwOFi4cCEff/wxc+fOPe2ytYeT/sXOnDmT3bt3s2bNmlbfr6+vZ968eTz++ON+z6PT6fj222+57bbbCAsLQ6PRMGHCBC666CK/q79HH32U2bNne5/X1NR4w9LORlySTJX9WHjpH/u1DGusrnORXWJDAUqtTiIsBiIsnrLdsgKVNifz1uaw8+ixmHlLoJ7hfWMRRQFrnZPs/GqKSm3IsoIlUE9t90huGJ6EKIgkBxtJCTayIb+azIo6Lph2vk9586sdzcJEW0NWoKS2ZdHBRk619SE6PMinY/GqS0d5e18EGLT80ZLIh6uyKa11tLCPV9qcfLnxKL88egF/f3cp63eBq87G7r2H2b8/h1qnhEarJdigIUgrUFXmO0ehsabTBcN78NpfO9580R7iQw1UtrITbA1B8IzvbPTo0YMffviBp59+mpEjRyKKIgMHDmTRokXExsZ6xwmCwPvvv8/NN998Sj9/4MBj1Ya3bt3KvHnzSE5OJicnBwCbzcY999xDXl4eJpOJHj168Mknn3D11VefUjlOlpNSDLNmzeLHH39k1apVJCQktDrm66+/pq6ujhtvvLHN8w0ePJiMjAyqq6txOp1ERkYyfPhwhgwZ4vMYg8GAwdD5vpAnS1O7tUErEmxqXqzN5Za9SkGSFQqsDg6V1xGg0xBjPmb3Lqy2e3YQDb/q7imhCKJAWVU9W3cXodCkMFytg0Vb8yirrOP+yT28PogR8cGU1jkpdpi97UmPR6sRULzNHn2j9We0bvvwdmOrdzDp9lc5UlDR4j2tVkP3LgkkRwR4d1lmo44P7h7Bnf/bxNHyOrSi4L23wQF67pvcHa1Ww9N3TiI7t5RPFqwHl4ODOcWUHD7KdZeNZvrFo9FqtZSUVbNr/5EWnxsVZuai8/py3SVDOW9wt04dptoUs1FL9+gADraR5CYI0D06oNOWxZg4caLfKJ/s7Gy0Wi2jR48+5Z/dVnrYP/7xD/7xj3+c8s89VZzQX1RRFO69917mz5/PihUrSE1N9Tn23Xff5dJLLyUysv128uBgT5z4oUOH2LJly2lN9OhsaESBOIueglonwxODvRN9Y+2lcqsTBThYbiOjqBZnk1WuSSsyLD6YxCAjyeGB3hWwVisSFRaAJCls21vssxbQlsMVLNldxOR+npWUgqdi7JKNR3lpRQAPX9C1xTEVBSVtOo9NWoGYVnpdNCJz6lLvv/h5S6tKoRG9VvTYz5sInBwRyMK/jGPV/hLWHyrDJckkBhu4ZkwqAYZj/aK7JEXx+MxLufmKMbjcEgkxoRwqrsPVYK779zN3cDArj9yjBTidTtZuy2TdtkyCLQG89dT1p+gKzyxhZj19tKKPWkmcE7WSFi5cyJ133km3bice1Xauc0J/1ZkzZzJv3jy+//57LBYLRUWeDmnBwcHNwr8yMzNZtWoVCxcubPU8PXr0YM6cOVx++eUAfPXVV0RGRpKUlMSuXbv485//zPTp05k0adLJXtdZySW9ovjvxjwCmsRxepxlCla7m4PlNjYVtHSy17tlVh6pZHxyKINTwwgy6ai1u9A3dIbLL6lFaqNoz6KdBUzqG+NtLRoZoKe8xsGhYhszX/6e9Egzd199PvqGqJqX3/kZY2oKXfp081mJdf+mnbxVkstNl48mJCiAersTk/FY5JYkw6kyTX+5yHclV7dborqqGiGhZUa8RhQY3yua8b2iva+1ttoTBIGkuHCvc9913P3s3jWB3t0T6RodyGN3admbWcCct3/6DVfU8ZiNWtJjtQ3VVd3e3WNwgLbT+RROhpkzZ3a0CJ2WE/rrzp07l+rqasaNG0dsbKz38cUXXzQb995775GQkOBzYj9w4IA3ogk8RadmzJhBjx49uO+++5gxYwafffbZSVzO2U3/OAuTuoc12HePTTzFVgduWWZ7Ua2fo2FrYQ0aUeC+yeloRAGXW0KWFapr7W2GhRZX26lvSL6TJIn9B3PBWonFYUdK6MLDL88ndOQDPPryt5RVWdm0I5O1P64gP8uTsCVLMrIsIzcEwu9Zn0Hp4aM89fr3pF74F2LHPMDA6U+d/M1pg6qaOr/vb9revg5y7amOq/MxKbokhaqGRK/01Bj++8zNntX2WV51xqAViQrSExtiICpIf04oBRX/nLApqT0899xzPPfcc+0+z3333cd99913IqKcs1zWO5rcyjrckoJW41mpllidrMkqx9VGElGNU6Ki3kWPuCCe+WM/ftiWT3GZjfYa8kXgq5/W8cEXy6mv95TLfmvLBhJT4giNDKOytIJXP17urdYqud0s+ewnohJj6NqnO4YAI9aqWg5l7MNWVUOv7seCAewOF6MHNd+yn0qTe48uMew4kOd9rtGI3HDpSO64cizdU2NwutqXmduWUhAEgUCDZ8V8fNVagPJaB7EhRjQaEaMokF9pJ6ukji5RAYQFttHkR0Wlk3D2GgjPYRJDA7C7lIbubhp6RgXy497idh27q8RKaogJRathaO8YsirqUIC8Yt+7DUGArlFm/vn+z6xYurHF+7k5BYhNnMjvfr0ao0GH3eEJaSzJLaIktwhRFAmNDkdvNFCnbZkn8ewDlzd7fioXnrf/YQxf/LzFc16NyMcv3sGkMX084bkNbTY9pcVbn/xPpI8GeHYNrSkG93EmpgiLntIaBwcKbfSMCyQkQFUOKp0fVTF0UgxaAbcskFtmI9RsIC7ISEW9/2qrAHm1DvJqmyfJDOsaxqEjFdTVu1sNL1UUSI008vEXLZVCI7Iko9PrcDldOF0Sk8b2ZumaXd4+Dv1GD6L3iAEYG0ppuF1usncfQJtZgNvlYvYtk0hPPRYmqBVPbbjq6EFdmXHpcD5esJE7rx7HpNG9PQ78ZglOQrOaU419uMFTPM7YRi2kprhaUQrgidZqRBAEdBqB+no7BoOBvbnVjOzuu6yGikpnQVUMnRRB8EQbRYeYOFxipXd4IHtLrH67jJm0IjX1LjQN1UH7xpi5ok8MQSYd03tHc8Ob65s1VmnMQ0hPDWP7ll1tyqRIx/IskqKCiI4IobismtHTxpPWL73ZhKfVaenavyfRCTFcmhrEtPH9vJ+pFU++9IIvBEHgrSevJzE2jGsuGYkv81mjMnC6PWXRXW6ZMquTSquT3olBbbZnVRSFOqfU6m4BIPy4QnoaUeSb71dywzWTAS0L1+xl6nm9T/YyVVTOCKoXqROj0YBZL9IjLoi+icFMTfcd+isAY5JC2LSzkNo6J0MTgpkxOIEah5sFuwp5eVU2g/vF0qdbBJGhJsKDjfRNDeOa8V3pmRxKSX7bpiq3JPPhP+9gSJ8UuiVHsebjB/njH8bRrX+PVidTURQJigwnumsiBg2eh/bUK4Wmn/e3u6aSGBPmty6ULCvU1LvYk1fDwSJPFzIFKKisb1MpABRU1Lf6vk4jeKvLNuKWZEKDA9if6fF/vPzhcq8JTkWls6LuGDo5oghGEQwaDZN6RBBp0fPd7hIq6o9NLlFmPRenRyK7ZEJMOjL2FHFx91Bue/5bMvcdpszmJCYxhqkThnLluK4E6DQIHLO1S7LCikADLQtJtCQyxMyPb/+Z7BIb6AyMnzicrfk1fncya7IrGdsl9LfdiFOIZ4JvTQEI1Fg9NXYaq8s2e7chdNig02BzSM3MchajlqSIgBYJfaIg0C05ms9/WM0TD1xLTl4pC37dwVVTfCdvdjaq6l3sK7Fhd8sYtSI9owIJMam+knMZVTGcJQiCZyobnBDEwHgLORX11DokwgJ0JAQbGmLNJS4dFM+Wg0e5b/Z/qK93Ijesckvzi9i1PoP777qM3oN7Y3W60WtEkoKMmHQaLr1wIPv35/iVQafV0KNLDFqthvjwQDKLbeRW2f0qBYCyk6jxf7I03id/Imm1GrLzixH0BrSaY36FkAAd7335K8+9/ROTxvTm2qnDGdo3FbPJAIJHgeq1IlFmTxOloio7uJ0kxwRjMrQ+UQoCXH3xMP44eQiZ+RWUlldzMKd9gQQdzZHKehYfKGdXUW2zv7EoQN8YC5PTw0kO7fjy1SqnHtWUdBYiCgJdwgPoH2chMcTTHtSo0xAeqGdQioUlX/1Mvf2YUoCG/seKwstvfcf89fvZWWxlc0EN3+4vYWtBNRPHDiTQ5LvEiEYj8scpQwgNDkQjilhMOnQaAY0gtBkMG9BGH+xTjb9oJ1mWOXSkmDsfe4fqGk+/hcb7pNMIbNqVjcst8dOKndzw0DukT3mM+PP/j/ix/0fSuAeJGTOb+PP/j8MlNjbtOMQLb33vUylIssznCzdRWW1DFAXSkyJ4b86tWAJPrNVmR5BRUMPLq46wo7C2heL3FEis9bxf4D+35kyxZ88e/vCHP5CSkoIgCK220pw7dy79+vUjKCiIoKAgRo4cyc8//3xG5Hv22WcZNWoUAQEBhISEtDqmtQZnn3/++RmR73hUxXAOodXCvB82YqtztCj53IggCuzesMO7olaAfeV1ZBTX8vbzd6DXaVrY2UVRoGtiJM/ef0Wz13Ua0RMa60cmARiRFHKyl3RSaETfykEQ4C///JLqGhv/fvtbfvplA+WlFcQGaTHpNWiOK9XcGqIgEhdqoqq8kh+W7+DBF77A6XIjyTJOlxu32+Ok//aXrdz/7GccOlLsPefU8/txxcTBp/R6TzVHKut5f3MB7ja2gm5Z4b3N+RypbN3nciapq6ujS5cuPP/88y16wjSSkJDA888/z9atW9myZQsXXHABl112GXv27Dnt8jmdTq688kr+9Kc/+R33/vvvU1hY6H1Mnz79tMvWGqop6Rzj4P4cv4mIiqx4s5Wbsr+sjvOGJLDpq8d55YNf+OaXrVjrHMREBHPrH8Zw5zXjCDY3Nxu4JJnEICNhJh1VdleLlaUoQIBO0yH+hcZwWEluKBoogEYAAZEvXrkLQdSga8i1aBq+ev6wdH5aucPneTWiyPCBacSEGDHqtciKwrtfr+bbJdu4csoQUuIjqK6tZ/6SrV6TkfG4HUV0ZMhpueZTxeID5W0qhUbcssIvB8u5Y3jrxTTPFEOHDmXo0KEAPPLII62OmTZtWrPnzz77LHPnzmXDhg3eJmGni8YWAR988IHfcSEhIT4V25lEVQznEPOXZrSrmbLSSqMSBVhxuByXApHDh5H96DWI0GodJFlRKKy245I8tXMu6R7Br1ml5FrdzSbZKLOeO4cnENRBhdZEAcQGF0JRWQ2f/rCRKy8eTmSYpcWuoPH51RcP49m3fqTGWt/qrkuSZe6bcSGKojBpdB8eeelrACqrbfz3i5UtxsdEBNM77VizIgGPKUZWPP9/9csVPP36IhzWYzkqEVHh/OORG+iTEkFUkJG4ECMaTVsGu1NDVb2LXW2UXjmenYW1VNW7ziqHtCRJfPXVV9hsNkaOHNnR4niZOXMmt99+O126dOHuu+/mlltu6ZC8F1UxnCO4XBL/+GQ1I3oksmlHls9dgyAIRCa0viI5WFHvddwu2l/GJb2iWoxRFAVZgaWHyukXaUZRFL79fhX/+WgJETERRCfHo9FqKD5aSLRJ5K5Bs4COK49utzuZctdrbNyZzf/dMpnwELNPpQBgCTTyzX9mcsWs16mx2b33UaMRkSWZmbdMZdIoT7OVlIQILpswkB+WZ/jseTz7lklomkYqCQKSJHP/fxbw894a8rZuanFMWUk5d8/+N73GjqV/71SmDohjSGowyZGtt8c9lewrsbUZTHA8sgL7S2yMSA45LTKdSnbt2sXIkSOx2+2YzWbmz5/vbZ7T0fz973/nggsuICAggF9++YV77rkHq9XaIeWCVMVwjrBk/V4mTRxC78QIPvhqpU/FoCgKvYf3R1EUam1OHE6JILPe61toPOrXrHLcsszk9EhMTTKCbU6Jg6VW4oIMKMCy1Rn856MlAJQVlVFWVOYdW6YRuWb2Oyx7/4EOWfXIssyAP/zDW4771j+e12bfa4BBvZPZNv9JPvlhAz+v2oXD6WJInxRu/cN57CuXmo19/YkbqLXZWbZ+H1qNiNxQWkOSZB64eRK3Xzm22XiXJPPY51uojUwif/v7fuXYu2oVmTv3sH1vX/r2TOKeccmMSI/2e8xvxe4jce90HXemSU9P9/Z++frrr7nppptYuXJlp1AOTZuaDRw4EJvNxosvvqgqBpWTw+VWcFoiiEsIIsfh5tpbLiNaI3PeiN7odVoOHyniu8UbWb5mJ31HDSQgMoqaUitT+sQQHWzgp6xKnFLLH/bq7ErWH6miW0Qg/WMtDE4IJkCvoV9cEBpBQFFgNb6L00mSzPodh9m8+wjD+qacxjvQOh8t2OhVCskJkcSdQFvNsBAz982YwH0zJjR7/Ye9+6h3Shh1Hid1oMnAV/++hw07DvPN4i1UVNtIjgvnhktH0jXp2I5LURScLjcPf7EFMTiYqpw8lHYszZ1V5exftZKSqiFYDDoGd430Wd31VGA8yXOf7HFnGr1eT1paGuBpELZ582b+/e9/8/bbb3ewZC0ZPnw4zzzzDA6H44w3JVMVw1mO0y3xyaZCthXXEqgTSQsLYPzkQcCxrnA90hL4a3oSl04fh12jJdFs4KL+cbglmRqHm+8OVfhc0btlhf0lVqIteu9qu/G8ggB/vnEiOXllfDB/rU8ZF63e3SGK4d8fLQVAp9Pyz7/d7LMbXXuQZIWs4loUBarrXZj0x0JOBUFg5ICujBzQ1WcxPkEQ0Gm1TBzcleVZ5axZsLz9H64oVO3byS/hkby7zMDdk0/f6rZnVCCiwAmZk0QBekQFnjaZTieyLONwONoe2AFkZGQQGhraIZ0qVcVwlvPh+jwyyuowaAQckkJ6eGCzrGbAa+PukxjB5qOVHK72/BC0mrZDM6Exacz3uEfumsrHC9YjtbLrADh4pD051aee8iobAGNH9GbPwVyctdVMOa93s6S29qIRBT5Ylc2Y7pEUVtoRgahgIy631CK6yReCAAPig1ieVY6j/sQmI9npwFpazMaccO4+YenbT4hJR98YCzsK2++A7hdr6XDHs9PpZO/evd7/5+fnk5GRgdls9u4QHn30US666CKSkpKora1l3rx5rFixgsWLF592+Y4ePUpFRQVHjx5FkiQyMjIASEtLw2w288MPP1BcXMyIESMwGo0sWbKE5557jgcffPC0y9YaqmI4i8mtsFHl8kzGDkmhe3iA3yJwCpAYbKLG7eazLUe5dkgSIUYtYQE6KvxkJ8sKdIsI8Pl+dHgQw/t3Yd22zFbfr7Xa239Rp5CQoABKK60cyMxj2eoddEmM5Pyh3TEZaVU5NJ3YG++hW5LRakS+3HCE7FIbVw5PRpJk1uw4woKFq5lx2SjSU2OxO5xERwRhCfSdCSwIgtfkEhwWTHkTf0x7UOptVNpOfxb55PRw9hRb2xWyqhMFJnUPP+0ytUVBQQEDBw70Pn/ppZd46aWXOP/881mxYgUAJSUl3HjjjRQWFhIcHEy/fv1YvHhxs77QN998Mzk5Od5jThVPPPEEH374ofd5o6y//vor48aNQ6fT8cYbb/DAAw+gKAppaWm8/PLL3HHHHadUjvaiKoazmP+tzaOsidMvwqTDVxUg8JiAYkNMbN2Wz5h+0UiyjEYUuaBrOF/vKmr1GAGINOvpFunfVBDkJ5s3Ljq4jSs5Pdx55Rgeeulb8os8fobDuaVMu/vffPD8baTER+CWJAQENBqR1VsOsutgHvGpScRFhRIXakKvFdlXUMNn645QWFXPM3/sR2mFlQW/bOKrH9dSV+/g+2UZXHpBf7bsyuaX9x7CHGD0qZglWaGgxqMkL7jqIr76z8cndD2CRofDJbU98DeSHGri1qHxvLc5369y0IoCtwyN7xRlMVJSUtrcsb377rttnic7O5vx48efKrG8fPDBB35zGKZMmcKUKVNO+eeeLKpiOEtxSbKnzIUse3MN2msX3nakgj9f1J1lB0qY1DOGEckhFNbaWZtT1cK+HKjTcPuwRK9foTVq7G7yK+vQaDRIUsuJa1DPpBO6tlPF5RMG8tBL3zabMHbsz2XQ5U8zblg6/XskYgqy8NWCNWQ2MXfpQ8IwxSaiCzQzbmAXrhieyPhe0Rh1Gl5fvZUPv2ruH1iydi+XTxxIeEigX9OcRhRYm+1RUpaQIAIsgdTV2tp3MYKALjySSweemeSn/nEWZo9N5peD5ewsbFkrqV+shUndz61aSdXV1WRlZfHTT2d3r+5TgaoYzlLyqx1kldQSEGTEoPcohkKrg7Qw3yYfSVY4WFSDwyVhd8nEBnvGCoLAFX1jGRgfzLqcSnIq6tCKIinBRlJDTGhFAVlRWiiHvcW1LD5QSl61g6FXXMQAh5OD2/exfeUmnA5P34dAk55rLh56mu6Cf9ZlHG71dUVR+HXjfn7duB+AS6aOpaTGQU2lpw+521pDgs7OT/+cQbCl+U5o1vUXsmTtHlZtPtZD+s2/38Ivq3c063LXFFlWEEWBr5fv4JDtWL+Gax64mc9ffZ+6NvpVAwTGJ5EQFczdE7u3OfZUkRxq4o7hCVTVu9jfpLpqj3O0umpwcDB5eXltD/wdoCqGsxRZUSitdRIkycREBwGQW2PH5pQw6cRWV/gaUeCn7fl0i/E0pDEbmtvZE4ONDE8I5kCJjdAgLUnhAYQF6KmodWA2aJE5phzWH6nk651FzcxWOoOensP6EtclkZ8/mo/b4eTjFzquaJzUSoZ3awzpGc/9N07k3o+28NhlvZjSL7ZF+exG3JLMnAev5khZHVqthugwM32TQ9m84xB7Mwvo2z2heUIbkJ1XyhufLuf9b9fQa3g/hk8cg4Ineumq+27CaXfw80fzqSytPFYWVhC8WeymuCS6DxrIFzNHdkg+SIhJd1Ykr6mcOlTFcJYSG2Tw9AewuwnSa6h1SsgKLMspZ0JqOKYGJ2djDwFRFPhkbTbbcir557UDsdpdaLUiTreMXisiyTI1djcL9pVw18hE4oNNSLKCgoJWFKlzSlTUOUkIMWF1uPm2wSdxvPVKFEWCI0K4/Nop3DchnQE9Es/wnTnGiH6pTefXVhEEgaj4aCpsDiptTnonBPtUCuCJ5OqaFIFdqAEgIcLje7lyylDe+nwFbz19Y7Pxb3yyjL/9e773+d6NOzm6P5vug3oREhGK2+Um99ARunVJ4vIbxrFuVy5r9+RjCjBhMJuJS0ni6rHduWVsSguFo6JyulAVw1mKSachOSqQqvI6RieFsuRwOZKsUOOQWHCwlJRgIwlBRjQC7D5SyS87C8mvrOfmsV1ICAug3OoiLTYQh8tNbb3MjsJaiqod3DkiiQC9Zyfhifn3rFCNWpFoi4HX1+RQanP69WeIokhYciJ9u3dsYbWU+AimjOnDL+v2thpKKwgCyT26sKXShaGyEgC7s23nriIfi1oKMmkRBIEBPZOw1dv5ZvEWrpg0GFlR0Igi91x/AdY6B698+AsOpycZ0Fpdy7ZfN6ILDsGcmEpAeAo5bokXl+fjLC+jvrSMCpeLS8b1470HL8ASqPcnjorKKUdVDGcxD07owsPzdhFm1HJRWgS7S2o5Um3HLStkVdazLbuC7QdLcbll+iQEc+v5XekZfyxCyGpzERsWQJ3TTZheS1KiEbOh9a+EKAooMgxLCuGLHYVtylbvlqlzSVh8nO9M8dZT1zPh1lfIPFoKitJshxMcEcqoqeMAcCoKZpOOpbuL6B4b5DMRTlYUqpqE9jY17fz37zfzwJzPWLXlIHddPY5eaXHIisKoQWmcP7wHOXkllFfZ+HZHGflSAEJD0IAECDoN+pBwdMFhBKR0o2rPdhau2sWMR97ju9dOZ+aCikpLBKWtGK+zhJqaGoKDg6muriYoKKijxTljfL01jxqrRHpsEKIoIMkKbllBpxH8RhI1EhdqJCrIQEmNHY0gEmbR+z3OJck8svBAu2R7eVo6hk5QKqHWZueD79bz+herKC6rJcASSPqgXnQb0BOd/pgT9WhhDUVFtSx86HwC9JoWppvGQnn78mtwSZ7/p0UHYjZqmymIo4UVLF69C4fTTXpqDBeM6Ok9l6Io7DxaxTWvr/Mpr6IooCiUb1mLu87Kmk/+wuDeLSO7/H3n7XY72dnZpKamYjR2/sZAKmeG9n4v1B3DWc4fByewI7eKSquEQdSgEYUTKvtQUGknyKhFqxHRacQ2u7E1jvG3mmgskdAZlAJ4Kqbee/14qqOTKKx1+hyXGGNBcMvc9s5G3r5tGCEBOq8y0IgeX012qc2rFABKa51YjovQSYoN446rzm/1MwRBaLZr8zVGURQCElKoy9rL5z9vaVUxqKicLlTFcA7QPzGEapuLzUcqCTLq8VGZwid5lfWYDBp0bSgURVGorHNiq7URFBSI24d2UICL0iNOTIgzQJ3L/40RBIHBPaOYkBLKiz/uJTbExMCUUOJDA4gJMVJW48TmaO6DqK5zUVLjICrI4LNO0vG0R28LoogxMpq6w/uorevYWj5FVXbWHCyl1u7GYtQypnskMSHqLuRcRlUM5wjBgTou7BnF8v1l9I23cLik3u+qvinlVheOWgddw4wEBfh2dMqKwn/e+5nPP1pKTHQ4E6+7BJ3F0yOgcRdh0IrcNDiOLuG+8yk6imiznhq72+d9EQWIMusZnBrG4NSwFu8nRng6tlUcV5Yiv6Ieq91NpEWPuaEpkc+yJIpCSU37SoQIogZZkkmJ65iSEzuPVvHm0kyW7SlplgGtFQUu7B3FPRPS6HeG27aqnBk6x15f5ZQgCHBhzwg0IlTZfZtMwDPJN5pJ9BqBNTmVrD5cRUFD/97jXU9uSWLHvlxvl7Ki4nI+eeVDdv+6HlAYlhTMDYNimXNRN/rHWU79xZ0CxqSG+lWWsgIjk323IVUUhbgwU4vXAKpsTvIr66mxu/3uGgRB4N0VWW3KqigKLlstokbgpstGtDn+VLN4ZxFXvraexbuKW5TFcMsKi3cVc+Vr6/nFRymVM82ePXv4wx/+QEpKCoIg8Oqrr7YY89RTTyEIQrNHjx49TrtsOTk53HbbbaSmpmIymejatStPPvkkTmfz3+iXX37JgAEDCAgIIDk5mRdffPG0y+YLdcdwDhJuNvBdRgHnpUeTGtK8dk9+rZ09pTZKbJ4vZbBBS4/wAM5LCuXnzDKiTCI6jUC42UDjYTXWej6cv5YX3llIvePYalkBNq3eRkFOPs9//ghGg6dWk1tu6K985nOx/DIw3kKfXDN7iqytKoiB8UGk+6kJJQgCOo1ASICWoso68gvLUQCNIHLBkFRCAvUoitKqSanxtc1Z5cxb17LndmufVZd/hGfuu5zYyDMbTLHzaBX3fbwdZxvNd5xumXs/2s5X947s8J1DXV0dXbp04corr+SBBx7wOa53794sXbrU+1yrPf1T4P79+5Flmbfffpu0tDR2797NHXfcgc1m46WXXgLg559/5vrrr+e1115j0qRJ7Nu3jzvuuAOTycSsWbNOu4zHoyqGc5TAAD3VDhcKRq9DeW+plW1Ftc0czNUONxsLakgNMRIRoEPSaIkMMnpXws+8uYC3PltBnY8diCgKhAbo0el1NPpkZQXcgFb0PDoLoiBw5/AEFh0oY+XhSmwNOQtmvYbzu4Yxrmt4u3wEmzfv4b5nP8Ph8uQlxEQG8+Atk7n1j+e1erzSsDvLLqll/hb/JRca77u+vopX7rmQGVOHn+hl/mbeXJrZplJoxOmWmbssi7m3DD7NUvln6NChDB3qKb3yyCOP+Byn1WqJiTkz9aYaOb5AXpcuXThw4ABz5871KoaPP/6Y6dOnc/fdd3vHPProo7zwwgvMnDnzjGe8q4rhHEUBiqxOBsZ4vlDVdjfbGpq8t7Zazq6yMywhiEk9PV3HGr+IP67a41MpgKcO0JH81stHu2WP7+FEEnYbLVin6ndwtLyOz9Yf5UBBLSaDhsl9YpjcL4bJ6RGUWJ3IMoQG6E8okuv9+Wu9SgGgqLSaB//5JUcKK/j7fdNbjHfLCrtzPZnSVw5PZlBKGM/M341TklEaalA1/k0izTqm9Y3koelTMHVADkhRlZ2le06sf8bS3cUUVdnPCof0oUOHiIuLw2g0MnLkSObMmUNS0pmP+KquriYs7Jgfy+FwEBDQ3C9nMpnIy8vjyJEjpKSknFH5VMVwjpIeHUhOlYMSm5OIAB2HKur8hpkKQPdIc4suZ6JG6w2f9EWgSY9LktG1ogHcssep62+iVxSQFJDkY/KJgFbTvgieRuTGczTUHv94TTbPfr8XoeE9UYCFGYUkhQfw6T0jSAgzoSjgaGcla0VROJxbyoYdrRfne+3jpVx98VB6p8U3e12nEQk0aKipd6MRBVYfKGlQCjK2o4dJD3Sy7L3ZuGWFAL2mQ+ohNbLmYKnX99Re3LLC2oNl/GFYx2a6t8Xw4cP54IMPSE9Pp7CwkKeffprzzjuP3bt3Y7GcOb9YZmYmr732mne3ADB58mQeeOABbr75ZsaPH09mZib/+te/ACgsLDzjiqETbfRVTiXXDYzFLcusPlpJrUOiot7p1/GqADFBhhYr50EDu/tVChqNyB8mDfY5mbQ1xSgKuGSPAmk6VgacEu0KvVUUcEkN4xXPscv3FvOP7/aiKMfKiDf+m19Zz81vb8ItKQgC6ES8vgHfn+ExBz34wpc+x2g1Ih9913rimiAIZJdaeemnffyyqwhFkVEkibr8o+QVVmDQaQg0aDtUKQDU2n338PZ/3OlvIPRbueiii7jyyivp168fkydPZuHChVRVVfHll77/pqea/Px8pkyZwpVXXtmsCc8dd9zBrFmzuOSSS9Dr9YwYMYJrrrkGwFtW/0yiKoZzFEuAnjqXjKQoLMwsxdGOGdYptZwcRw7rTXx0aKsF3DSigFGv45Y/nuc3mc2fcpAU/30kXPIx85K/c0jHjXlneZbP3YYkK2SVWPl1TzHgMXUZNAJut4Ts48OKau1cMet1Vmza71MOtySTnVva4nVFUZj1zhoe/zKDrYc9ZjfZ6aQiYxOy00FYSOfpl2wxnpwRwWI8+8pwh4SE0L17dzIzW+88eKopKChg/PjxjBo1iv/+97/N3hMEgRdeeAGr1cqRI0coKipi2LBhgMffcKZRTUnnMPeOSuC19fkAVLfDXrKjoIbEEGMz5/TUwUmYHr6BOa9+TtbRUrRaEfBMohZLAM8/cj1ujcH/StdHWzlFUSiusBESFIDGz6pIUkDr4/SK0nJXYXO42ZZT6VsePLH4b/y0k/v/+hZ/uvZ87rzyPCwmLYoCB3KKeHf5fgwGHcGRYdg1BopqHWzcleP3nBpRJNjS3E4syTI//rqDHWs2og8NB0HAWV2Jo6zYq/Huumqs3/OeScZ0j0QrCu1q69mIVhQY3b3zJTS2hdVqJSsrixkzZpz2z8rPz2f8+PEMHjyY999/3+cuQKPREB/vMUV+9tlnjBw5ksjIyNMu3/GoiuEcpkdMEInmInJr3dDgJ/CXePXBr1lckBZOgF7jrZcUGqgnKCSIL9+czcEDOSzbsJ/tORXk2rUIoZE8tTiX8LXF3Hp+F24e2wWxxTJdQUZotjVdveUQb3y2goWrdlO09tVWjmmOvzlKoeWOxNWO3ZHnGIHs/DL+8tK3LFq9h2/+czcIIkajEWNsLBUOmco6AE/mcZe+3TmwdY9Pk5Mky1wx6Vh0jluSKCyp5uEXv8JRUYOjouVuIiYiiBumnfnII1/EhBi5sHcUi3cVt/uYCX2iO9zx7HQ62bt3r/f/+fn5ZGRkYDabSUtLA+DBBx9k2rRpJCcnU1BQwJNPPolGo+Haa689rbLl5+czbtw4kpOTeemllygtPfY9aIyQKisr4+uvv2bcuHHY7Xbef/99vvrqK1auXHlaZfOFako6x3lkYncu7x0ODUrBO6k1/KsoCrKskHmkkosGx1Nuc7ZY3E/sG0tVnYtKrYXD+hgKzQmI4TEIoqc8d7nVyYs/7eeJr3e1mDQVhWZlJF58dzGT7vg3C37dgcst4W6lFehvJdikIybY/0QlywpynRVPvTqFiFALblnEJSnERIYwpmtEi/vQZ8QANLrW/QAajUhqQgRjh3g6rFXV1vHmp8sZf+M/KS6vaVWGHqnRrPn0LwSaDCd1naeLeyakoW9nnLFBJ/KnC7ueZonapqCggIEDBzJw4EAKCwt56aWXGDhwILfffrt3TF5eHtdeey3p6elcddVVhIeHs2HDhmYr8ptvvplx48adUtmWLFlCZmYmy5YtIyEhgdjYWO+jKR9++CFDhgxh9OjR7NmzhxUrVnjNSWcatbrq74gP1h+l3iFTK8sU1TqpqnPhdEnoNAJ3nZfKgLggv7uKL9Yf4alvd/v9jE/uGdmsnISsKJTVOrEYRHbty2byHf9pNv7jF+9g8pg+6LSa40/lRSf6Dnn1FVX03oosXlq4v1X/hAAYdRq+v38kj7/8NTn5ZSz/8CFvNiyA3S3xyqocKuqa954ozS9m+VeLsNVY0WpEr1M6PCSQlPhwtu/LxWTQYatvGeIrAPHRIUy/cCDXXDyEwb2TfV5zezid1VV/2VXEvR/5T3LTa0Veu3Egk/qe2byA08n555/P+PHjeeqppzpalNOCWl31d4AkyXy3PIP/fbWGg0eKCTYHcO3FQ7j1D6MJDzE3G1tQ7aC0XmJ4fDBWp8ToRC1FVic7i2vpE2ehf6wnXM+fr+DzDUf9hrxqRIGvNx5tphhEQaCmzkWVTeHNz1ai1Yi4m5h6Xvt4KReP7duqQnK7JbRajd+QVUHwbHuPn75uGJPKhsxy1hzwbNsbZdaIAgLw8oyBxEcG8d5zt7Jm60EkWUHXZJVs1GqYNTqZz7YXcKDU5n09Kj6afzx/D+G2KnYfyEWv11JaXsPbX6ykosqGAq0qhUZZP/nnbQzvl+r7gjoJk/rG8NW9I5m7LIulu4tb1Eqa0CeaP13YtcMznk8l1dXVZGVl8dNPP3W0KB2OumM4S3G5JK576H/8uHIXmoY+DODJRI4INbP03fvplhxNjdXOxz9u5n+LMpAVGNq3C1dNHEx+vcSWwhoE4PEJaQQZ2w6VHPK3RS2qix5P/6QQPr93NOAx0dQ7JQ4UWgG48o45lFfZWhxz9UVDee2JGxAbVuyKoqDRiBSUVJESG9JmLoMkgdXhQn+cmcclyXy9MZdP1+ZwuNSKQSsysU8Mt5zfxVv6WpJlFAW/7TxLah0crapHEAS6hAcQamoZgTP1zldYt91/DaSk2DD2//T0KQtJPVP9GIqq7Kw9WEat3YXFqGN094gO9ymonBzqjuEc5+6nP+HHlbsAmuUQyLJCWaWVK+//L//527Vcef9b1Fjt3sno4M4DLPh+BedfdTFRCTGEmLQEtzLRtYbFpPOrGEQBggN03tW/3SWTVXJMEfiKPPri582s3HyQGdNH0j89EYfLzS+rd7PzQC7bvvlbm3KJIhwpqKB7SnSz13UakWtHJXPNSE9ma6u+gXbEiEdZDESYfTcwcrklbr9ybJuK4WhhBdv35TKo19nVWyEmxNjpk9dUTi0n5HyeM2cOQ4cOxWKxEBUVxfTp0zlw4Fg3r5ycnBbVCxsfX331lc/zWq1WZs2aRUJCAiaTiV69evHWW2+d/FWdw/z4606Cht7HvJ82+xwjywoHcoq59J7XqbV5ImqaJnBZbXYWf/oD9da6NnMEwOMnkBWFSwfF+129ywpc0CuaCpuLrGIrBwtrcTckGIgCTBjZ02dD+6Kyal783yJueOgdbnvsfb74eTP/fvRqFMWT/OaUPElsUit5DYIA6SnRzHn7J1wuCUmScbrcuNxSkzH+V+mt9YRupLFshS90Wg0De7bPX3DoyImVm1BR6QhOSDGsXLmSmTNnsmHDBpYsWYLL5WLSpEnYbJ5VYWJiIoWFhc0eTz/9NGazmYsuusjneWfPns2iRYv45JNP2LdvH/fffz+zZs1iwYIFv+3qzjF+Xr2LK2f/F1c7C5w5nO5WQysVRcHtdHFg2x6q7W7KbU6fiV3g8ROIgsD1o1KwmHSt1hUSBYgPNdEr3mP66RIVSP/kEPokBBFl0aPHzT3XjvebXdyIUa9l0qiejBrUDYfkUQxyQxKbq0FJtFAOyFx8fl/Gz3iBJ1/7jk++X88bny7jvW9Wt8t040thtdfS2rTqrD+CzKoJRqXzc0KKYdGiRdx888307t2b/v3788EHH3D06FG2bt0KeJIzYmJimj3mz5/PVVddhdls9nnedevWcdNNNzFu3DhSUlK488476d+/P5s2bfptV3cOoSgKMx5+/5SeL2ffYRRgRVaFzxWxW5I5XGLlXz/vJzLIwId3eWoMgceR26gjuscE8fw1A+iTGERIgM47GWs1AnFhJkxaGNAzkTeenIFGFJtNxILgMelMHNWLuU/N4OVHrmL+6zPx1XBNwROJ1Bhq+sZnK+k97UnGzfgne7IK+GTBepas28PXi7Zgb6NUg9stsWLjfl56d5H3edNrl2WFn1buRJJ9K2O3JPPjigy/nwMepTB+WHqb41RUOprf5GOorq4GaFYlsClbt24lIyODN954w+95Ro0axYIFC7j11luJi4tjxYoVHDx4kFdeeeW3iHdOsWLTQZ/RLieL5PbUxVl3pJKe0YH0ij5WSKxxpexwy8z6YAs2ScGh1zIyOZRXbx5CVkE1u3JrcLpl+iSG0CXKTN9Ej0O36Qq98f8JMWHUO1xce/EwhvVN5f1vVrNueyYajYYLR/bkpstHEx0ehCAIGDSeXUFbuGV48MWvvc2DGqmureeXtXsY2r8rYT27+75+ScbhdPPXV75lb1YB6zOyuOvq8xnevwuiKCJJMlfMep0+PRK5aGxf3JLcwkktSTJ2h5MPvl3bprwP3ToJo+HsKx2h8vvjpBWDLMvcf//9jB49mj59+rQ65t1336Vnz56MGjXK77lee+017rzzThISEtBqtYiiyDvvvMPYsb5LBTgcDhyOY71wa2paTyI6V9i0K7vdY/uOGkhlSQUFh3ORfax0BVEgIs5TYjsl1ER6pBm5iS29cUI36TXMGJPKTwdLKa9z8cPeYsINGrb+uJTxo/sxeXgfEARCA/UNVVRb33loNSKy4OnP0CUxkmfuv6LVcbqGebc9Bhyb3dVCKTQiywobt2fSf9MeJnSPJDxQ36psb32+gsN5npDW5Rv2sWVXNndcfT4P33ExOq2G5e/dT2aZg6xiG9EWLUGBxobdg4BGFKi12bnmgbcoKKlqU96l6/by4C2T2nFlnYv8kiqWb9hPjdVOkNnIBSN6EB8V0tFiqZxGTloxzJw5k927d7NmzZpW36+vr2fevHk8/vjjbZ7rtddeY8OGDSxYsIDk5GRWrVrFzJkziYuLY8KECa0eM2fOHJ5++umTFf+so62yEY0YjXqmXXY+u/fmkJd5xOc4RVYYMWYAABf18GR+tmZOEgWBa0YmkWlzEh6g48r+sUSaDTDZYxLZl1XAkcIKDtbWEzthIHqd76+UKIoIgF7jcSQ3nfwFPEpDI7ZdNK8RvU7bIi/ieNnXrd7ON/17cueIxBbvazQi/3frZO64aix7MgvQiAJ9uydgMh7re20w6NFrXZRbXbz9yxYK84sYPagbAOu2Z/LVos1Y6xwtzt0a2/f7b9LT2di65wj/fO8XFq7ahbuJX0urFbl4bF/+cuuk35ykp9I5OSnFMGvWLH788UdWrVpFQkLrYWxff/01dXV13HjjjX7PVV9fz2OPPcb8+fOZOnUqAP369SMjI4OXXnrJp2J49NFHmT17tvd5TU0NiYktf/znCqMGtK/sgN3uJElxcMHFgzBVlfHF92sQRQG5SZ6DLCtcf8X53Dq+L9UON2kRx6p7yorCoVIbu4pqcbploiwGhiQEc1GPSAYnBLdYdffoEkv3lBi+XbK1XU5ep+wpiGfQehzKigJOt0RWiRWNKJAWbW5XCGnjtfhDVhRy8ko5WGbjvxuOcseIpFaVX5DZxMhW7q+Ax/8RadFTbnVx4Xn9ueOh1Xwwv22zUWtoOluvUz98v3wHNz36Pg5nyzLcbrfMguU7WLxmDx89fwuXju/fARKqnE5OyPmsKAqzZs1i/vz5LF++nNRU3xmc7777LpdeemmblQFdLhcul6tFtUGNRuPTDAJgMBgICgpq9jiX6dk1tu1BDeTklaDTaph542Re+uv1dO8aB3hWyJPO68drf7+N26+diCAIRFuO1emxOtz8Z3UO/92Yy8ajVWzLr2HR/lKeW5bJwPjW768gCGg0IuOGpfsta9EUd0MIqsMlMWfBXgY/voRL/rWGi15czcinl/HOiiyEdhiTSspr/EZTAVgCPVFAB8vq+H53+wvDwbG2pCEBWoJNWv7x6pdkHz35cNP4qOCTPvZMsnXPEZ9KoSkO5/+3d97hUVR7A35nZnt6b4TQey/SO1IEAXu9WLBdsXes14qIeu+1fNjAxkURFLEgUpQuvbdAgAAhvbfNlpn5/thkk012NwmCUuZ9njywM2fOnJlszu+cX3Uy+alP2bbP9870r+Ljjz9m0KBBhIWFERYWxsiRI+s4r2RlZXHrrbcSHx+PxWJhzJgxHD58uFH3ycvLY8yYMcTHx2M0GklMTOS+++6ro8p+//33ad++PWazmbZt2/LFF194nP/uu+/o1asXoaGhBAQE0K1bN7788ss69ztw4AATJkwgJCSEgIAAevfuzYkT1TXD7777blq2bInZbCYqKoqJEydy8KDv1PANpVE7hqlTpzJv3jwWL15MUFAQmZmZAISEhGA2m93tUlJSWLNmDUuWLPHaT7t27Zg+fTpXXHEFwcHBDBkyhMcffxyz2UxSUhKrV6/miy++4O233/4Tj3ZhER4SQKumUaScqJuhszZtm4QRE2bi+31ZHJJCGXDDJJ5qHsrwVpHuvPlOWSG3xE5modVtaJ6zJY1TxRWAZ0bT/s3C6l3FR4UHs+dQGu1bxKFrgIBwyio3z9rEzuMFHvfKLbEz/YeDlFc4uefSNnjN111JWlaBeyfkDUkSGT+yB1V27HWpBUzsGN2gwidVaq0qUlJO0LNrKyaO6UNRSTm/rdvN+i0H/MY/1KbMdnpFcP5q3pizrF6hUIXN7mTmnGV8/dad9Tc+i6xatYobbriB/v37YzKZmDFjBqNGjWLfvn0kJCSgqiqTJk1Cr9ezePFigoODefvttxk5ciT79+8nIKBhNTFEUWTixIm88sorREVFkZKSwtSpU8nPz2fevHkAzJo1i2nTpvHxxx/Tu3dvNm/ezJ133klYWBiXX3454HLYeeaZZ2jXrh0Gg4GffvqJ2267jejoaEaPHg3AkSNHGDhwIFOmTOHFF18kODiYffv2eUQs9+zZk5tuuommTZuSn5/Pv/71L0aNGsWxY8eQpIYt1LzRqJQYvlQFn376Kbfeeqv789NPP83cuXNJTU31+kcoCILHNZmZmUybNo1ly5aRn59PUlISd911Fw8//HCD0wdcDCkxtuxJZfDkN32e79K2Cc/eO4GR/dojCAKKqrIvswRVhc5eciGpqkpGUQX5VicmvcisP0547feuPom0jfbtblzFE2/M59qxl9Crc3O/yfiqGDX9N07mW32e3zdjrN9JvMLmYPBN0zmalltngpZEkUCLkUefvp1Ul6xDFGDGZW0QRf9/MIYaJUVVVeVojpXsYjtOWUYnSciygiSJHD6azuOvfEZxSbnf/qoYdklblnx4f4PaNoSzkRLjVHYhbS97vlECT6cTOfjzS+eUQVqWZcLCwnjvvfeYPHkyhw4dom3btuzdu5eOHTsCLgea2NhYXnvtNY8srI3lnXfeYebMmZw8eRJweVkOGDCAmTNnuts8+uijbNq0yadNFqBHjx6MGzeOl19+GYDrr78evV7vdSfhi927d9O1a1dSUlJo2bKuerSh34tGq5K8/dQUCgCvvfYaJ06c8PlHXfua2NhYPv30U06dOoXVauXgwYM88sgjf3uZw3ON3p2b0b29dztK787N+XX2owzv08793kRBoENMEF3igz0yh1YhCALxoWaO5JWzK73Yd8WzBq4dMnKLGTXlbZau2eN3JV9F96Qwn+ckUSA5w7+nmcmoZ/GsB+ja1vVOdJJYWUgI4qJDePG5W91CQVEU9m3Zy6W3vQmKd19YATDWqjN9JLOErCJbZf8ugVIVg9EiKYbnHrq23ues4varBjS47d/FbxsPNkoogMvm8PvGP6++OJOUl5fjcDjcrvRVHow1J0NRFDEajX4n6/pIT0/nu+++Y8iQIe5jNputzqRrNpvZvHkzDkfduBpVVVm5ciXJycluT0xFUfj5559p06YNo0ePJjo6mj59+vD999/7HEtZWRmffvopzZs3/9P2Vq0ew3nG2i8fo3PrGsXmKyf791+4Gb1eqhPBK4mC3+hdRVHpEh/EtlPFPrX6yTllDaiHrPDr2r2oqsqv6/Y2yItK8NNGVlRmrai/5GJcVCgrPnuMZbMf4ZHbRjP1ppH898Vbuf3RW9hdJrrtVFknMti8bD3b959k9B3/xihVpvOudKGVFZm0onJOFFrduadyC0o4klnqc4EiSRI9u7SiedMYr+drEhpsJtBsaHAk9d9FcWnF6V1XdnrXnS2efPJJD6/Gdu3a0bRpU6ZNm0ZBQQF2u50ZM2aQlpZGRkZGo/u/4YYbsFgsJCQkEBwczCeffOI+N3r0aD755BO2bduGqqps3bqVTz75BIfDQW5urrtdUVERgYGBGAwGxo0bx7vvvsull14KQHZ2NqWlpbz++uuMGTOGZcuWccUVV3DllVfWKd7zf//3fwQGBhIYGMgvv/zC8uXLMRgM/Bk0wXCeIUkSm7+ZxorZD3PpZQNo16MDN99yGa2TYnzaAfztvERRICrAgM2p+HQT3XqyyCNRn7f+f161y52baOGvWymz2v06DwDsPVnke1wCDS4vaZAEBvVowYtTx/H8P8cw64ctbNt3nOL8IjKPn2LNouVs/GE5YqXo27wnlaNpOUgi2GWZr3akM23JId5ec5w3VqXy9C+HWXE4jxf+7xeCa5XqrI0sK/Tu2qreMRYVW7nigQ94aPo357RwON2UHcEB506qj9dff52vv/6aRYsWuVfuer2e7777jkOHDhEeHo7FYuH3339n7Fj/6kpf/Pvf/2b79u0sXryYI0eOeHhIPvfcc4wdO5a+ffui1+uZOHEit9xyC4DHvYKCgti5cydbtmzh1Vdf5ZFHHmHVqlUA7r+diRMn8vDDD9OtWzeeeuopxo8fXyeP3E033cSOHTtYvXo1bdq04dprr6Wi4s8Jak0wnKf07daSXkMvof+4oQyojEc4XSrqyb1U4VT4cvsprx5Aqqpy5Hg2dz77uftYabmNu5/7zJ2ywhslFQ6O5ZT6vKeiwvjuCT7PV90bVA/Vzw8rd3Fw2z5+/mwR6+f/yIg4E6vev5ujy2dwcvVbvPf8zbRIjOLNOcuwOmTeXpPK5pNFyDWGWWqXWbQ3m0JjUJ17ehlFg4x8Vd1/tGAtc3/c1IB+/x6G923nVsc1FJ1OZFjfdmdpRI3jzTff5PXXX2fZsmV06dLF41zPnj3ZuXMnhYWFZGRksHTpUvLy8mjRokWj7xMbG0u7du2YMGECH374IbNmzXLvPMxmM3PmzKG8vJzU1FROnDhBs2bNCAoK8vDSFEWRVq1a0a1bNx599FGuvvpqpk+fDkBkZCQ6nY4OHTp43Ld9+/YeXkngcv5p3bo1gwcPZuHChRw8eJBFixY1+plqogmG8xQVMOpEbNYKNq48/YlGUVW2pfleuYNL915c4UQS1Do+QnabnRkf/eRRotOg1xEfE4pTVnzuVmRZJcjkPSGfJAq0iQ1iZCdvlcGqs8RWOBT2nixmT1ox+WUu3W1mrutZmsZH8PuXT3LrFQPcpTONBh3Xju3N7188QUCAkVVHCsgqsfusKR3Zujk2u/9cS5IkcTCl4YFroiDwny9WNrj9X01CdCiXDe7cqGvGDe58Thie33jjDV5++WWWLl1Kr169fLYLCQkhKiqKw4cPs3XrViZOnPin7lu1uq+ZiQFcu5QmTZogSRJff/0148eP97s7URTF3YfBYKB3794e2asBDh06RFKS76DCKrtv7bE0Fq0ew/mKqtIxNpD335qLtaCQ1+69DIuf2sHevIRkRcXqkNmQWuDzugCDxPBW4QxvGe6uA1y1CRAEMAYYePvZm7n/9nEcP5GBTifRt2tLQoP9q2BCAwx8cW8/Hvh8K8dzy922EEWFHs3C+Pc/enipO6xSUOrAqagUWx0UW10ulXanQnJGGZlp6XRp4wq4fPup64gICajjOqvXSQgmAw9OHsWsbVl+oyXsDplth9Pp0y7Ra/ZVpyyTkZXPjr1H/T5rTRRVZf+RDErKKtwxFucaT9w+il/X7WuQy6rJqOfx2//+NB8zZszg+eefZ968eTRr1sztSl+lewdYsGABUVFRNG3alD179vDggw8yadIkRo1q+PiXLFlCVlYWvXv3JjAwkH379vH4448zYMAAmjVrBrgm782bN9OnTx8KCgp4++232bt3L59/Xr2rnj59Or169aJly5bYbDaWLFnCl19+yaxZs9xtHn/8ca677joGDx7MsGHDWLp0KT/++KNb3XT06FHmz5/PqFGjiIqKIi0tjddffx2z2cxll132p96nJhjOU1Qg99hJck65grbe/mwZz/7zcp/tC60OwiwGt61AEgXyyx18uuUkpX4y1tmdMmU2mcIKJ9GBLoNWlXxRVJXkjDIKy51EhgbRqUV0ozzJ2sQG8csTQ9mYkseuEwVIosiANpF0SPAeCFZU7iA1t65raFXVt6i4WJ567XPat4hjRL8OXnpwodNJRIYFUVRxyu/4BFFg/aEMwgwibVs2AVT3ik+WFcrKbbzw5ld1rgsJMtOlbSKqqrLzwAmvKTPOZY+7nh2T+OL125j8lP8gN6NBx+fTbz0n0mLMmjULu93O1Vdf7XH8hRdecNdvzsjI4JFHHiErK4u4uDgmT55cJ2XPrbfeSmpqqnvyrY3ZbObjjz/m4YcfxmazkZiYyJVXXslTTz3lbiPLMm+99RbJycno9XqGDRvGhg0b3IIDXB5E9957L2lpaZjNZtq1a8fcuXO57rrr3G2uuOIKPvjgA6ZPn84DDzxA27Zt+fbbbxk4cCDg8rBau3Yt//nPfygoKCAmJobBgwezYcMGoqOj/8Tb1Ep7ntcMvmcWW7fsR62c7J+7dwIPTh6JILh2A1UlP5cfzmNlSh7Nwsy0igxAFCA138rh3LIGJasTBZc66c4+TdzxEAAn86ykFbgmPbNBol18Q3Typ4vKvpPF2GXfI67aFR1PPcWkoR3r7fHpJQex+elPkRVS9iSzeekaxg3vxeWjLiEuOozScivLVu9k0S9/kJtf4m4fYDbw8oNXcuPlfTAaXIGE5RV2Pv12HS+9/wN2hxNREOjcJoGNXz/l67YN5myX9ty27zgz5yzjZy+5ksYN7szjF2CupCFDhjBs2DC3MLnQ0Ep7XgRkZRe6hUJSuxYcNobz8sojdE8IJsgokVdSwZx5K2g/6BIEQSC1wMqpogqSQkwEGHS0iwzgeKGV8nqMz1U6+E82n+LFUS0JNetRVJWMouo04Fa7TGmFkwCjdHZWwyp+hQJUr8Lbt2mYD3dJega6yGhEH0V6REnk6N5D2O1OFi3dyKKlG332ZdDr+PbdqfTq1NxD7WQxGbjn+qG0axHLtQ/NQlFUHrplRIPG93fTs2MSX791J6eyC/l940GKyyoIDjAx7ALNrlpUVMSRI0f4+eef/+6h/O1oguE8JqFZHP27NCO2aQJFoZEAlNicrDma727TYXAf9/9bhZnpFR+CJLgme0GAHrFBJOeVsy3DdxxDFbKisuF4IZe1i6LCrtRxYU3NKaN1bKDbNtAYAaEo1YZqQRCQFcXtfisJoFK9A6oPq0PxWjuhJja7k99/XsewGy9HJ+jrGAUVRSHrRAbpRxtmWL56TC8u6dLCe11pSWREvw6MGdSZts2iuW6Mb8PouUhCdCg3T+j7dw/jrBMSEkJa2vmVAfdsoQmG8xBZUTmSXc6r905CVVV+OJSDUE9lm8RgI32bhLo/SzXmr7YRFhRVZXtmSd0La6ACh3LKuawdXlMYOWSVg+klRAQZCQ/Qo5NcabaNOlcEgSBUusEJNQzYwA+rdrF262HKrDZW/nGATq0TaNYkktiIYO64egAhwYEoiHRpGoKsqGQVVbijkb2OU4XMwgqaRHg3gCuKyuyFaziVlsWSzxcx7KrRhESGuYQTLr3ZieRjrFnccO+hWyb1R1FUJMmHF5ai8H/P30RMeMNy8mho/J1oguE8w+aQ2XeqFJvTNbPmVzgpaUC5s9gAo8/8RYIg0C4yoF7BUBOzXkQvCThqqXcUFXKKbeQUuybujgmBXryLqsnJL+GR6fPJLSx1p2KoKnpz9eiemEwmV3qNynFLokCoRe9XMABkFFjRCwox4YEubyfF5can00nMX7KZF975HoD8rDy+/b95xDZLIDI2ClmWSUs5TklB4wo/NY2L8Fk32jVukdBgTShonB9oguE8Ir/MwaHMMo8I5QpnA2pg4ppX/al2BCBAL1Lmq9ByZZu2UQGV/QnEhRo5kec7wtJiEAky+Q/++mThOnIKSjxyK5mMej58aTIThnd3xSzUGrdRLyHgv8qbTicx9eWvOJp6ihvH9yU+JpTc/BLmL9nC/iPpddpnpp4iM9W/l5I/cgtLiI4IOq0o2rPJBeJbonGGaOj3QRMM5wlWu0xyRhkGSfAwwlr0DUutW187FYi0GCgr8j7RC7hW6/2bhbqPxYcaKbfJ5JbWDQIz6kTaxQX6FUYOWWHJuv2Vbaqf6T/TrmfcEFfxF686e1EgLEDvDmqrjaIolFltrNm0D4fDyasf/ORzDGeK+Uu28NIDk/y28bOhOOPo9ZVeUeXlHinxNS5uystd7t5V3w9faILhPGHjgQyMlgAEQaTmJBpm0hNm0lFQ4dvfXBIgLtB/Ui1R8G3YFQXX+bv6NiHEVP2VEQSBVjEWooKcZBbbqLAr6CSByCADUUEGr1HNAPmlDtIKKiizybzx/BTKrTbWbtzLfz75iZjIYK4Ze0m9Sfjiw8yUVDixOWSPVXqVOmrGe9/icPx19Q8+X7SeF6ZO8FmLQsDTrnO2kSSJ0NBQsrNdhYUsFss5HTuhcXZRVZXy8nKys7MJDQ2tN42LJhjOA7buO46gd/1hG3Qitlrupb3jQ1h+NM+nauWG7vEE6yR3pHBtVFWlwqlwqsRTbx9q1mHWibQKM7Lg62UMm7kfRVVo0SSKOa9MplPrBARBIDRAT2iA/xVIFZmFNo7letZgsJiNjB7WkzFDu7Fn9yFUl6nabz96nUjb+CBmf7+Zrp1aYDK6BN+u/cf4/Jvf2HPwr60qVlJWgd1WgV4XUOf3IAJ6qY5G7KwTG+tKKVIlHDQ0QkND3d8Lf2gBbuc4qqoy4f4Pefqh6wFoEm4iLb+uuie7zM7m9CIKa+wcwi16Lm8fTZf4YCocMocySuvsCqoS4606XkB6LcHwyphWLP51C/98cZ7XsV07piefT7+tcpwuw7NcWcfZpXqqDI6rnBBtToXtqf6NunGhRmJCTA1a3eYVltJ+7DMIokBYSCBWq43iUt+Ff84WoijQr2sLVsx5GHC9h6rX7NptnZ37NvQ7L8uy1zoAGhcXer2+wVXdtB3DOc4H89cQGxuJoiiIoojdqRBglCizeRqdowMMjGsVSblTISTQQIhJR5MQo1vNYtJLtI0LJL2ggsLy6kkip9zOrsxSssurg9VEAdpHB1BcUMw/X/IuFAC+WbqNHh2a8sDNI3AonuVAVUBRXALCULlazim2++qqejwldmJCGhap++/PlrlTfWflFPptazToGD2wE7FRIWTnFfPr2r1YbWdmslRVlWl3jXF/PpvC4HSQJOlPlXnUuPjQBMM5jCwrzJzzK2OG90ZRVEQR8kodtIkNILPIRkEt42tYgIEuEWYksW61NnB58zSPDsApKzhklS+2pnEozzP3kCi4DNXXdo3l6gdm1emjNq9+sIR7bxzhM0OpCjhkMOigvAFutU5ZrfS68u5aW+Vy++6XK3j/f7+5j5uMeiaN7MHlw7oSGGDiQEo6ny1ax8Gjmdx0eV9eefhKQoMs7sC54lIrL763mDnfNqx6143jLyEzp4jfNiW74jMEAacsYzTo+b/nbmBE3/YN6kdD43xAEwznMHsOnyIjp5hDR9PdRk1ZUTmcVUaL6AASws2UVThRgQCjDr3kEgilFU4CTb5/tTpJRCe5BEVNJAF6NQlmXIdoQkw6UjIK/fuEAiXlNurJVIGCazfhyxhdmyp5UDvuQlVViksruPqB99m6N9V9PDEunB9mPUCzhEj3xN+/W0vuvn4oi1fuYOKI7m43vapo6uBAM289dT1BASbe/XKl11oTVUwa0Y3ZL08GYMeBkyxasYOSsgrat4jjurG9CAnSvH40Liw0wXAOU17hUr38sS2Z3PxiwkICkSQRWVY5nFGKUS8SFWwkyCRhczjJKZYpLHdg1Im0ig2st//CiuodR8eYAG6/pAmmymC0bWnFKA2o/av34YVTG0WFiAA92fWok0ItegRBIC3fSqBRIqTyM0DqqRxG3f42uQXVBX5EUWDBf++lSYyrfnTVxF8lSKuEgi+bxaO3j2bp2j0kH8vyer6mHQWge/tEn3W3NTQuFM6taBwND9okxSBJrrrF/3rrK5yy7CrEgWshb7XLHM8p47cdJ0nJKie72IbdqVBkdVBU4fAZzKKoKtmlNoqs1YLh0jaRbqEAcCSvnMi4KL91mQVBILgRq+UQiw6Lwb8giQkxoqgquSU2juWUs+tEETpBxShBs7iwOoXqR/RtT9vmsT7dRKvG6YugADNr5z7B649cQZtm0VhMBiJCA5g4rCvHV7zmIRQ0NC4WNMFwDhMZFshVl3bHYjbw7N2X0a15OBGBBrdh06iXKMjLJzqyun6BoqqkFlr5bk+W+3NNFFUFFRbtyaJzXDBGnYhOFGgV4TnBi4JA+16d3NlbvaGqKt06NCztslgZed0yJgCLsXoSF2qcbxEdgMWoA7U6l1KQUUInCdidCnllMh9Ov4uRg7piMLg2uyP6dfjT8QoWk5EH/zGCXYueJ++Pt0n7fQZfv30n0REXjnebhkZj0FRJ5zgzHr2KSwd2ZtTAjkiiSFJUAElU6987JASRVWQjo7ACRVVxKiq7s0sptct8uiWNCR1jiAyoDm7LKbXz/d4sDuWWYdQJ9E4MYd2xAgqtTsIs1bEIbaMsRCbE0H3IJexYvdml+K9Zuk1Vadm5Dd+8cRuSgF87g1D5o6ou+0ab2EDKbDJF5a5djdkgERpQHRBXs6v4MCNHssvdKqjQiDCm3X81D95xOW99+H2j6xN7Hd855EGkoXEuoAmGc5yYiGCuGtWzjjqkZorqqGCjK+NoqZ1N6UXuimz7skrZl1VK01ATQUYdRRVO0ipTXogCGCSRnk1cgmHTySLGtI10998xNpCoAD3dBvUkLCaCvRt2kJ3mKpcYERNBx77dyDiWxoZdxxjRtz2K7NtOrRddgqMqLk8QBAJNOq8GclVVKbM5EYAW0Wbyy5wedgldpdul2WTg2Qev4/fVW/yqkarUad7VSSqCK5+qhoZGDTTBcI7jSizqf+qSRIHdOaXszPCeHfVYvpWs3DIyckpxyipBFj2JccF0iQ8moNIzqdDq6foqCgKXJhj5eGsBSW2bk9S2OYqioDgV9EY9e//YyZE9ybz6oY2R/dpjkFyTv6zgjlsWBRWdKHgIhfoQBAFBVenZLBhFhSPZ3gPWRFFEVhSaJiVQVGIlKMDkNbupqlYJB9XLeQGdqO0YNDRqowmGc5yGhqXbfdgCKmxONu3OoKzGxJ9fZCU1vZiOoSbG9EgAIMhY96uwat0evv98Jc07tqZ5h1bojQYKsnI5uH0fOWkuG8bGXcfIyismJiIYnQACKplFNrKK7NicCpIAnRJD6s19VJMgiwEEyC3xnbkVXB5IrVsk8MCr8/jwxcnoVMntJSXLCqIosGz9Xv5v3m+8//zNJMZFuK8VAJ341ya209A4X9D+LM5xGjKfKqpKenHdSVRVVbbuzaS81m6gylTwwcoUZq85BsAliSG1L6ekrALF4eTg1r3sWPI7naVy3psyhE2fP8KyOY9y3WWXIEkipWWuVBqyorLvVCkn8irc+ZwCTLpGCYWs3CJXXyrYnWqD1Dz7UjIYfPPrfPn9BvKLyrBW2Nl7+BT3v/w/bn78Y+x2J3ERgRgkl1rLILl+NKGgoeEdbcdwjiMK+K09ICsqR/LKKKxMkFc1BysqKDYnxWW+4wYE4Pc9GdxzWVuivGRfbdMsBodTpmOreH784EGCAk1uHX/3Dkl88GJzrhnTi7gol1A5mVdRJ1WHrpG5IU6k5xNT6WVl0Ev17picskx2XhGlZRU8OmM+j86YD0BEaADtW8Tx8Ys3c9WoHhj0uuqH1tDQ8IsmGM4D9BJ4yyahKCpWh4ytwskLI1txOLeMHenF2GWVYKPE5gPZfuskq0BpuYMrOkZ5PX/N6J48+dZ3zHvrboICqoUC4K6nPKxPe/SS6x5ZxXWrqtXOBOsLVVVJyyzw8DIKtehJE/CZbsMpy6zZuI/SsurdUr9uzfnm7buJDKs/wE9DQ8M7mmA4DxAFMEouA26VW6jdqbD6aD6RBh0RgQYW789iV3qJxwr7cG6Z31QPVSg+5u6gABML/nMPTeMjvDfAFXksq2B3KF4n8DKbTIVDxqgT6zWiz/h4Ce88e6P7syQKJEZYOJ5b7k4iWIVTlikptfLx3GXuY2MHdeS7d/7p9x4aGhr1o2lZzxMEwbVzMOlcQuKddUdZmpyDoij8cDDbQygIQJuoAPq2jKA+uRBk1hHrJ5vpgB6tPcpu+sLq8J0g72Sey7PIX4b3LxdvYMglbeuUxgwPNNAiOoBjJ6pTVjhlmbWb9nPvtA/Iyi10H88rLKt3nBoaGvWj7RjOQwQBMkscxATqybE6OVZQ7dLZLMzMTT3iCbcYqHA4Wbo1jWKrw6c6ZmjHGLdayBcNMR6n5vqug1Ba4eRwZimJEWbMBs+vXLnVxvSPltC8SSTXjOnt9foQi55pr32OXq8nwGIiO7fQa90Fk8EVoLcvrYjtqQUICPRtHUmTCFedahFXosDTyUCdX1jK2/PWs2XPURwOJ82aRHH7FX0Z2LVZ4zvT0DjH0Qr1nIe89ftRJEmkV0Iof5wo4HhhBSoQG2TkoUHNkEQBsVJts/VoPnd+sgmHrNaxNUSEmvj87kvoGBvk816K6t2+UYWqqjhklX1p/gvwAASadLSODaSoxMrew2mcyizAIctcPqwbwYH+cy7d99Jcvl6yuU6upJo8efc4tpcFsietGGpUgRvWPprXrutKaIABVXXFVugl19g37DzK0rV7sdmddGuXyJWXdsdk9KxGt3TDQf75r7lk5hQiCgKKqrqF5dTJY3jjwXH1PvvZ4GL6zmv8tWiC4Txj6cFs9mSUcbywgqeGtmD2ljSyKz2P/tEzgc6xQXXSW6fmlPH52qMs2ZlOaYWMxayjWXwIbRJDeGtCuzr3sDllvv7jJHPXH+d4bhkBRh3juycweVBzEiMsddqfzCsnt8R/1lSzQaJVTIDX3UlVeo/a/9Zk7+FTDP3HDBRZqVs6UxQItBhJHDSCfGvd85Ig0C4hmK/u6+/2kjp2Iot7XpzLlj2p7voKDqdMaJCZeTPvYFiftgAUlZTR/ZrXyc4pQvZhjHlj2o3cf21/v89/NrhYvvMafz2aYDhNKpwKO9KKySq1E2LS0Ssx2GuQ2Jnm6V8OU1ThxKQTub9fEt/uyeRYoRVJFJg+tq1ftY+sqKw+ksfPB3MAuLd/Ih1jPL13Kuwykz/cxNajBUC1m6wkChh1Ip/e3YcuTcPck3dOsY20fE+1ToBRwmLUYXPISKJAWICBYLPOPdnXTFNxsqCcL7anoxcFkkJNNAk1079ZmPt8Faqq8v2K7Ux55lOPlE0AIYFmbvjHBBYfKPapMgN4++bujO0aj9MpM+im6SQfy6xjgxEFAb1OYv28J+jYKp4XP1rO67MW++xTFAW6d2rBus8f9n3js4QmGDTOFpqN4TRYeTiP7/Z6FlhfuCeLnvFBXN4+CpNeItAkNahucWNQVTDpRIoBh6xQ4ZRpGWbmaKEVk05skC3AYpAIMemY3DOOdtF1XTrfWXaYbccK6qy6ZUWlwiFz/+fb+OHRwcgK5JbY6sQtgMsTqXl0ADofleQEQeBEeh4F5XbmHSjAoagIokhWqZ3NacUk55QxsWMMETWS/wmCwKQR3enQMp5/f76cvMJSdJLIsD7tuG5cH659b6NfoSAKsHjbKcZ2jWfZ+n0cPJrptZ2iqsiKwr8/X8EnL09m277jSJXpN7y2V1S27z6CtcKG2WT0PQANjfMITTA0gNIKJxmFrlKadlmlqNxJkyAjaSWefvvb0kvILbMzqGk4TllGQUAUwGQQaRVlcRehOV1OFVixOV2qElmFLSeLaBFiIinExMniCuxOBYOfbKOCAFEWPa+Mbo3opZnNKTN3/XGfE6yiQnaxjfkbT9K7hXcX1qqdhMOpoPNTe+HRGfPJNwTSZWDPOp5INZP/jW0XRZsolwATRJG2LeL44MXJdfor8BPIVzX23Mrf1+KVOyoLHnmf7J2ywoJft/HJy5NxOmXUesLsVMBa4dQEg8YFg+auWg+5JXb2pJWSW+pArixPGRNgYGizcHrGBeFwKtgdMqXldo6eLGTv0XzK7E50koRBEpEEAacTDmaUs+VYEfaGZpOrhUNWSS+xU1bDLXRPdgmrjxdQZpcRBdh8stBnMBuAqqjc/8JnPDT9K6/n0/KslFT4r22gEwXS8r27haqqiqqqBJp0WIw6n0LQKcs8cusoWnRuU0co1ORkYQUrD+f5HU8V8WFmv0HNkijQJNxlHykrt/k1YgPYHTKZuYU0T4z26/IrCJAQG0F4aECDxqmhcT6gCQY/2BwKh7PK3Z91kkBMiJFWMYE0j7IwsHk4rSMtGPQSAWY9bZqGckv/Zlhq1FKuOTk6ZZUdx4sbFHRWm/QiG2uO5mOqYbwtsyucKrWTa3XgVGDF4VxKbM46wqFKpz/jkyX8seUgHy9cz9UPfVjnHjqp/t2MCh4qHs/7uLKehph1fmMWdJJEv+6tiAj3rxdX8R8fUZNr+zb1e15WVK65xFWSs1VSTIMyqj719vfccUWfems+TBjl3c1WQ+N8RVMl1UJRVfZmlrIzvRg9IknBJgRBIMSip1mUxWNVGmLRc3e/JN7bcJxTRRW0Crdg1vu2LQiCgKLCyYIKyp0KuWUOskttoKoMaB5GbJB3VYTVLpNXaqdbbDBrjuf7HHuJTeaddakMjzfTr128O810Rk4RMz/5hc8WrXe3/Xn1HvYcOkXnNgnuY4nhFhLDzaTlW/3mZhrVOYbmUQEcyS7HXqNCT5WNQxSFGs6ivokLMXOy0tXWG6IA0T7eSW2u7J3Id1vSOHCqqI4qTBBgRMcY+reJRFVVbhzXh/9+sdyjTWR8NJ36dSOxdTNESSQvI4ctm3cz78c/ePTOy3njg8UICG5bQ1Xdon492/LS3SMbNEYNjfMFzSupBqeKKnhvw0mKK9UpI5qFExdkxKwXaRvv8vWvPemrqkq5Q+a1lUcYmhRGhNm/HUFVVYJMOlpUegM5FZXM4gqWHcqlW3wQg1qEudvanQrJWWWUlDspsjkJMerYm1PKrqxSv8+x+KNvEO0VtE6KpsxqZ8+hNK/RyyP7tefH/5vqcWzehhM8s2CP134lUaBLYgjfPtjf7VZaZHVSWO6ywVQREWQgMdxcrz1l68kivtqZ7rfNvf2TaOnFRdYbpRUOXv9hPz9sP4WjUmBZDBI3DWjG/aPboBMFjqfnMfTmGRTVCJBr0ak1gyeNBBXESmFalYLj0I79RJTlM3pYT77+eRMbth5EdsokNYnm8kt78cKdwwkw+44cP5toXkkaZwttx1BJUYWTt9ccp6KGDUCp1JlHBbtWrb48bCx6iV5NQjBI9ecDEgSBcrtMfrmdVSn5mESBhCAjvWKDUWSV9Sn5RFj0lNllrHbVnS01pNIVtmmwqV7BUFZSSkWZlZx874V7qjiRXld/f0O/RE7klfHhb0fdCfjEykR2LaMD+HBKL4/qcaEWPWa95CEYCkrtJISZEakbj1CT7gnB7DhVRHJOmdddQ9+mobQI9x/4VpNAk55Xru3KY+Pbsz+tiANHTvH+xz+yRznFfRs3sWTVLkqtnkZqS1AAgyeOcBUIquHVVWX7aNO9A6u+W84TLSK4bdY/cTqdOJwKZpN3dZqGxoVAo2wM06dPp3fv3gQFBREdHc2kSZNITk52n09NTXX9gXn5WbBggc9+fV0zc+bM03+yRvLeek+hAJBe6prsQhrgTdQ+zEBRhdOvbr0KRYW5207RJNBIdICBIwVWlh/NY0lKLmuPF7LlZDG/HS1gcXI23yfnsCW9mKIKJ4IgEKCXqM8UYA5o2Ao7MKCumkYQBJ66vD0/PzaQG/o1pX/rCEZ1juW9W3rw02ODiPKi2jHqRYJMEkqlmkVR4XiuyzZT831UGaerkESB2y5J5NI2kVj01V/FYKOOiR2iuapL7Gl5cYVaDPRvE8U947qx/4fneOX+CTSNDQWhrvtsm+4dvB6vQlEUOvbpwqsf/gKATqfThILGBU+jVEljxozh+uuvp3fv3jidTp5++mn27t3L/v37CQgIQJZlcnJyPK756KOPmDlzJhkZGQQGek+FnJnp6VP+yy+/MGXKFFJSUmjRokWDxvZnttWz/jjJ3szqVXhxqQ29Ctd0iycswEDXpiENmqB+23gQU0go5gaoFn5IzqbYLqMTBJw1fgVVtRdq1mCouvPApqHEBxrZlVXKwTxPz6CaQWP7Nu5i07J19Y7hk5f+wU2X96m3XUMoqXCy52QJiqoiVa62LQaJ6BCj2003K6+YqLBAr55ITkXlj5Q8FBUCDRJmvURSlIWA0wwaFHAV46n5a8vKK+atT5fz2aINlJS7hP7I6y8jsXUzv79fRVHYMPc7di167rTGcrbQVEkaZ4tG/dUtXbrU4/Nnn31GdHQ027ZtY/DgwUiSRGxsrEebRYsWce211/oUCkCdaxYvXsywYcMaLBT+DFklNvZmliIKrtoEOw9mIyoqr1/fDbNBR0JYw1UZg3u3ZtOuo6imuqqnKv/+HZnFSIJAeaW3jUNRPNvV+rfm/9eeKMSsE7HW2NlU9Zucms+xtCKiwiwktmxOcMReSgqKUH24r0aGBZwxoaAoCkt+30lWQRlt2rUkJNj1uy63y+w5lscXC34j5Wga/3vzLq9CQVVVnLJCYI0EezanwuHMUtrEBWHxEg+hr6zV7C2PkzehABATEcwbj11Fny7NmDztM1BBqVmk2tfzyUq97q0aGhcSf8rGUFTkKsMYHh7u9fy2bdvYuXMn77//foP7zMrK4ueff+bzzz/3285ms2GzVeu1i4vrT+LmjY/XHePIjn0U5xZyNLscQ3gMN4/siNmgw6ATiQgyNFidoZMkBvRozYyv1jHskg7oa+h8KpwK2zKKSS1yFZWRBOgQGUCQUUdhhYOU/HJkFVSnE5NOoG2khXYhBnYfPMG+EgUp3BVQZq2l7qoaW7vmEZSVO8jOKyc7v5zuYy8l5Y9NnDpyos44YyOD2TT/qdN6X7V593+/8dx/f8DmqI5/6NS2KYMvaYfFpCcvt5DrL+3CsH43uL2kaiMIAtlFdYv8qCpkFljdhnpwzd96qbpSnVGqrFZXKf8k0dXG16+spKyCu//1v0q1FqSlHCepne8FiCIrnDycSnhIw9RzGhoXAqctGBRF4aGHHmLAgAF06tTJa5vZs2fTvn17+vdveIKxzz//nKCgIK688kq/7aZPn86LL77YqDHX5tFZy/hwzs/IThlBFFEVBY4cYouYz+hOVxMYYHZnKa3CW4K3mjicMlFmiW/2Z7lUIjqRErtcZ0KXVdifW0ZMgIEwk85VgEdVEXQ6bMCePBv78+1M7t+JyeEWnp+/EWeo74I5iqrSMjGUrDyXbv/QqVKGXT0We2kpWaknyd6XTExkMI/eOpJRAzo26j2pqmu8VZOvKLgE23vzfuOJN7+r035v8gn2Jp/ggZuH8+ZT17LxRCFf70rnys5xmCpjAmomy8stsZFX6j1yucjqRFUUdJKIKFSWOq3x+oXKsTQ0k/aCX7dRVsMAfXTvYXoM64PJYq6zm1FVFUEU2LtxJ50TQht4Bw2N85/TFgxTp05l7969rFvnXZdttVqZN28ezz3XOL3snDlzuOmmmzCZ/Ovpp02bxiOPPOL+XFxcTGJiYoPv8+53m/i/j35wf1Zr5MJZv3k/b334Pa8/6aomVmFzcPh4FqgqndvWcw8VLCY9qgN2bDtA8ta9OJ1OImKj6DWiHyaL53NlldnJqkrn4KF6Aqeq8uW2dJ4a1oIenZuz6USRT6EkCgKhwSZ0koBTdq2GT2QU06ZZOFf1bcmkTtc2+N3UpDrttuqOAJYBJ7Dyj0N+r/38l+2I7TtRYpNRgeSccvo2DaVrfDAhJh2SAKfyK+qNtgYV/WnUUPDGgaOZ6HUSDqdLB+V0OPl17g+MvnkC5gALqqoiiqLbkL7uh9/IScviuKCQk19CVLjvFOUaGhcKpyUY7rvvPn766SfWrFlDkyZNvLZZuHAh5eXlTJ5cN6+NL9auXUtycjLz58+vt63RaMRoPL3cNKqq8vbspZ4W3lrnl6/ZxeSrhjJ3wX5mL1hLcVkFoiiQsux1wkJc6Q8URQUBj12FKAmczC5m7sdfYa+oVo/kZeRwaMd+ug3pTY8hlzR4rE5FZWtaMSA0qI69S3C4Hqq41IYADGnuXdVXH2qlUKha2deWSfP+fTdDbn6dvYdOeR3HyOvHuWJCKi8ss8usTMljZYrLTXZih2g6xwahkwTMBolAow4VKLY6yCu146yMRdDXU0ioMQSYDXU8xwqy81n47lxadGpDYuskJEkiJyObQ9v3U1bscko4cjKHLpNeYsmHD9C9fcMXIBoa5yON+otTVZX77ruPRYsW8dtvv9G8eXOfbWfPns2ECROIivJeaN7XNT179qRr166NGVajOZqWS2Z6jlehUIUoCjw1/Uv++/kKiiuLzSuKymeL1pNTXMHBU8XsOlHEruNFJKeXuJO4KYrKnPm/eQiFmuxcvYXDOw80eKwqkJJXRlKY2bfinMpAuwoHjhoqK1EUmdQxmrCA09sYyqp/1ZkALPq/B72eS2jZlJCIUL9jXnOsgGCzjmZRAUQHGwkw6Qg06YgLNdExIZhAk46IQH2DUnU0lInDu+H0Ykh2Opwc2rGfld/8wrKvfmLHqs1uoVBFSVkFE6e+T4XNccbGo6FxLtIowTB16lTmzp3LvHnzCAoKIjMzk8zMTKxWz3z8KSkprFmzhjvuuMNrP+3atWPRokUex4qLi1mwYIHPa84UqqqSnF7UgHZwKjO/Tl6jUgek5VdgdVRPLuV2mdScctILrLz80S9kZhf67XvrbxsbPe7uCSHoBf9pJlLTPJ9rZIdoRrT2bZeojUNWOFVQwc7jxWw9VkSJ1b+KRxAEIoLN3HXdkDrn4poloMj+8xwVWB0UV6btril8qnYnLaMDSAz3VL05nTLTP/6FgTe/Qf8bZ/D0f77HWuE/s2pNurdPZFT/DjQgQ3kdZEUlp6CUhb9ua/zFGhrnEY0SDLNmzaKoqIihQ4cSFxfn/qmt+pkzZw5NmjRh1KhRXvtJTk52ezRV8fXXX6OqKjfccEMjH6HhqKrKtuPFHCzGb1bPqra16dW1FeMv9a0GyiqysWnfyXrHYS0tx25v2GQmAC0jApAEiHMWV5btrDvOrLwyjqcXu6+JDDLyzLi2DUoWB658TLtOlJBZZEcnieh1InZZqdcjSxAE7rzpUq8Db1CAjI9GVcJBr3MZF/IKS7n3pf8R1PtBXvq/n9m27wQ7Dpzk35+vIHLAo3yzdGtD7gbAlzNuY0jvNg1uX5sn3vqOwf+YyRuzfyW7nuhyDY3zkUarkrz93HrrrR7tXnvtNU6cOOFz8vV2zV133UV5eTkhISGNeoDGsO1EMXaHQoniyo8j+Fk26nUSD/xjJLdeMYDwSpvCpNF9cPpZBSuqyqQRPQi01G/7sFttHN17iD0bdvhtJ4kCvZsEoyoqfZqFM214c/o3CyXAICEKUFxqZ3dyNtv3VxcOigk1Mf++vpj81EOoiaqqHMux0jTSQscmwbSKDaRtXBA5Rdb6LwZyC608ffdlHseyTmQgSf7vH2LSEWL2reYSBAFZgX0p6XS4/F98uugPr+0UReWWaZ+x82D9QhkgONDMkg8foFPr+AbZbWpTUFzOlr3HefH/fqLT5f9i466jp9GLhsa5y0WTRM8pK/yenE+AXmLFsXyOZRbww+wFWEvLPYLAqlaqn06/nbGDuyCJIk5Z5r9fLKdrtw5ERfgXXCa9SJvYQH5evZs3Pl7CvhTvSeIknYRc6RnTuX93eo/s787YCdUqo34REq3DzXz180am3TmG6FpeMTklNr7ZeJK9aUUYdCLDOkQztmssRl3D3XiKrU5EUUSqVXHt27XJXDWobb3Xr9x2lJ6tY2k+4gnAZZ/57PUp7JQDXO6mPq67vEM0Q1vWp+pS6XDZs2Tk1K/+69+9BSvnPFJvuyp+WrWbax7+qMHtvSGKAkEBJg4teYngwIYHQ54JtMhnjbPFRSMYdqUXU17usgtsOlXE4fxyykvK2L56M0d2JSNX7gQG9GjFk3dexqBedVUN6/ZlEBDg/4/fbJBoFx+E0ynjcMpMvPddtuw55veaz955mG5t41ifWkBqgRVVUck4doKfvvuNojzXhJgQE8ql/drzf8/fiCAIZBTZWH4ol73ZZThkhehAA0NahNOnaQhSIxXoheUyRn3dBIDpOUUU2aF9gndhqCgqe9MKMck2WjeL4ZHX5hEVHsSTd16GpNORXlzBrA3HsTqU6vQelcKvW3wwN/WIrxMnUrv/oyey6H3NKw16Dp0kUrL1nQa1reI/X6xk2r8X1d/QD4IAbz1xDf+8vq6t5WyiCQaNs8VFIxh+3JdNpNGV/Gx1aj4nS2zVZSjtDqylZTw2og1tEsJ96tXT8q3kFFfgzwQcF2oiNtRlMHXKMsdP5dHrqpd8th8/biBf/ut69+fcghKG3zKT9OxCr2kYHr5lBBMmDuPr3Zk4lbpFJ9tFW/hnv6boagkHVXWp852K6/9VgWECYJN9ex49+N5yHr6uH0mRLnVaVWCaqkJaQTnLNx1iymXdAVcUsopnmooSm5M/jhew41QxNqdCTJCR/klhdIwN9CsUVFVFUVT6X/8qh1KzfLariSAIlG9/t0Fta5J8LJNRd/yXnPyShtlFvNx3/NDOzHjkSuwOJ+FhIRRUKBRbnQhAiMXlaRVgPEPBGJVogkHjbHHRpN0+VmDFECYSZJAosld726iqit6gp1mzGNo28a/WiA42kldi81kTWRIFIoKqM2/qJImWTaMZ0KM167cfJj4hmvRT2R7X3H7lAJyyK7IX4N+fLSM9q9Bn8fn/fLGSvIhE9IEBXiex5Oxyfk3OZVz7ajdhVQWHgse4VVVFUavTZ/vipVsG8MC7y+jYuQ2XdYsnLsxMXomdVQeyKMnJ5roh7T3a15ZlQUYdo9pEMaqNf7flmm6xDqeMJApMfWlug4UCQHDA6dVFaNs8lrVzH2fUHf/hREa+31Ke3lBVlZUbD9Lh8n8BYDEbufzS3ky+Zjhmk4GcEgc5JQ5axViICtIys2qc+1w0pT0zim0cyC1DEAT3StXhrPa66R5Xf0SrQSfSMibQq6pGJwq0igmoE4ylqCrtWsRyw6TB/N/LdV1xW8WHuYWC0ynzxfcbfAoFcE3ie7bt97myVYHVRws8yns6awmFyp5c7Wulwq5NSJCF/3t4LKHWbN753+88+9FKPl6wBjUnjSlju9Ek1lVYSKRSTeSzJx/PA4iCypotyeQXlpKTX8LCX7cy/JaZzF+yuVF9/WNi30bevZqmceFsnj+NNx+/GrNR3+jry2uk2Si32pj/wzpuuu8ttuw67H6/KVnlWL1l/dPQOMe4aHYMsqJyOL+cMJOO6AADhRVOzJJAv8RQmoaYMDUw50KgSUfHJsEUlNkprXCpCgJNOsICDO7SljURBYHSsgrm/7KFQ0fS6pwvtTpQVBVRECgutVJa7j0wrhqB0kL/CQPL7DL55Q6iAg3uPEc+e3OrhnyrkywmA3dfO4S7vKnQVJXS8gpWbEqmf7cWxEXUr9KQFZWichvxlSq3XcmnmDT1vXqv80dQgInXHpz4p/oIDjRz7w1D6dAyjnH3vHdatblrUlhUxpOvfE7blgk8NfUqkhKjySqy0yzqrzVSa2g0lotmxxBicsnA3dml9EsKI9gocXWnOJJCTIiCQIXdybpth/26o1YhiQKRQUaSIi3EhxmJCDJ6FQoANruTZRv2A7Btz1FiIj0Nud/9vse9zA6wGN21DPxhNNfvDls1Hl9qr5oIgqtGs7edg6qqSAIYdQK6Wo9otdp5f/E2Br+8kmm/nGLI9LVc8uRi1iXn1OmnZn95pXaO51ZQVhncllfgvyJdfegkkSNLX0GvPzPrnH7dWpAYF1Z/wwaSfOQUtz3yDg//azab9qaesX41NM4WF41gQHDlGppySSId44IY0jTMw0C7ZOU2npy5gAqbE6ez4dv9Cpvv6GBFUfnom9UUFFUX1XHWChqbPXepO52G0aDn8uHdfKandvWp0KJTPcFZskK4n/gAb+w6cAK7l+fWiYI7fbhOApMO9ILC+Hv+S/fHvuPddRlY5ernKXBK3PnJZr7bUjemQFVVZEUluzL1eFaxa3fU0EnYm/BNiA4m5ddXCAo8c3WX//fTZk6k55+x/qrYte8Ytz7yPubu99Fh/L/YtNu/t5qGxt/FRSMYFFWlRYSFFhEWcktthJhceuSqSXrj9mT2H0ln1O1vsmrzQVeCvHoQBAFVEJnz3XrkymIudke1YPn8+/W8+N5ij2vyC0v4z0t3uH3eCwqKue7hD9yr9cemjHalmPamlhIFhvfvSOsW/gOzDh0vcD9XQz1Xu7Zryi+rd6MXQSe6CuEYJVftg5oapnKrnT7XT2dXPmAORBA8v0JVqqnnF+6moNRTLVZulzmUUYqjUrdVWuF6T62TYujTpblfN9uI0ADy/3ib/3v+Rq66tAc3jr+EVZ89SsqvrxHTAPVVY/h4wTq/OZ7OBMdO5TL0lrf4bNGGs3ofDY3T4aJxV31//QnaxwTRp2koh7NKsdo8V8fPz/wf6zZXJ7eLjQxh+/cvYDL4rvesqir7ThaxYMlGUo6m06pJOE1iw8gtKGXB0i0cS8v1et1vC1x++Tv3HWXrrhSMRj0P3jSMJtHBSKLIHzuPcMczn5KeXYgkipW6bpWrRvfi7snjqVAFVhzLo6SGIbMqp2pObhkpx/PZ/kp1OhK7DE5ZRRQFv7YEgNy8QprEhHo9V2610+ay58grKie6/3BEvW8PG1VVuWVQC27on4QgCFjtch3Da5BJolMTl9F/277jjLj93zidsofhvGqoX864nasu7eHzfmeSuMGPU1jSsKjvM0Hp1v/WGyXuDc1dVeNscdEYn/smhWJ1VqVxFqj9Z3/p4O4egiEzt4gpT3/K/968q85kWvVZlhU6NQ2l5a3D+WbpFt75YgVHT/rWr1eRlVNITFQo3Tq2oFtHV/Wwd+f+xkv3jcdo0NGvW0t2//ASKzce4MCRdMwmA6MGdMQuGimzyQQA41tHcbzISmpRBXanQoXNydaD2RzPLuXq3p6p0PUi7EnNo11ihN9VucMpcyqryKdgmPLcF+QVliHqDX6FQuVL4mR+OQVlvjORhgVUe//07JjEijkP88TMb/mjRoqJNkkxvPrQJMYN6ez/fmeQ8NCAv1QwPPrGQv4z7bq/7H4aGvVx0aiSOscGufT7QGRg3UltUJ8OBNVKafDLmj3c9NhHlFntdQyzqqqiq0w7YTYZuHF8X1bPfZJu7ZvWO5ab7nuLfckn3OqqVbtSmT3/N8bd9R+Sj2YCIEkiowZ05P5/jOS68f0olvVuYy24DODNQ83Yiqx881sK36w6wrHMEgTg1sHNPO6XWWLj6305DYqINpt9T/g/r97tenalYTYYsx9PL0mE6GDPe/XqmMRvnz3Cnu+f5+dZ97Hp66fY8d2zf6lQALh5fB+fzgRng2XrG56GXUPjr+CiEQyKCoGiqyBwkFnv1RXxnZfvQq/z3ET9smYPr33wE4IguG0HrnxKnhOHXidhMur5dPrt9WYkVRSVx1/+lMM5pSxNyeH33a4V8s4DJ7j8n+9y/bvrmPb1Tu77bCsD/rWc77ac8lCvVLHqQDb/25CKzSEjCqDXibx/aw/axXuqFebvyqRCUbHXU9BeAJLivRf1Kbfa3bUeVFnGlp+DqvqJtxBFrr4kwauNQycKtI8P9FmAp1VSNMP7tqNL2yYNrrd9JrnzmkFEhQX5dQKoSfOECH58/153JtjG0gBHNA2Nv5SL4iupqmB1uLyBnLKCKAhEBXu6fNqcCk0TIvl29lNcfmlvggMtGA06+nRtwWuPXAXg3iH4QidJNEuIZEjv+hPPVdgcfLF0C1mlNpQaE/aYge1475YexISa0Fn09O8aT5Eio9NDZKCeMIuOmBADrWPMNI8yM6pTLCM7xfD4uHZseGE4ozrHetwnt8zO4dxyFFVg68kirwKmCkkSCfKRGVanF/nX/RP57zM38I8J/Sg9fgQQvLu4Kgod4ywMbR9Fj2bBJEWYCAvQEx6gp3mUmR7NggkynbtazMiwQFbOeZhOreKB+u3Qrz40iZH9O/B/z59eyviJI7qd1nUaGmeLi8L4rKhQWO5EL4nuamAVDoVfD2QTZdazLbOEYKOOztHV+XuWr97JNz+u474bh3LThH4NXg06ZZmX3vuBd+eu9NtOHxKOJSoaU4AZR0E++SeOA5C1ZiZrTpbyS3IuqK5cSAKAINAywsw/+yX6VdHUJPVULkt3nmSP3eXKGWrS8dDg5lj0kle1kiI7sRirJ+xyq50la/fQp2trIsODPFbvNruDm17+lr1lFteSt/JrJIgircINLHx0KCGWxkcQn0uoqsrmPan8sfMoG3cdZdmG/VgrHG7Pq/AQC289eQ3Xj+0NgMMhc8l10zl0PKtBXm3g2n2WbPmPZnzWOKc4d5dtZ5Cq6UwnCRRbnaQXWKlwKERb9Hx3IBsVaBlmJq/cTkFpBc++8CG5ea7o4p6dmjVKRVAVLOcLyWQmtFMP9IHBqJWpLwxhsUTGNKWZnM2e3AqXUAB37EUVKTllfLjhOA8NaeF3DJm5xfzzxf/x6/p9RMbHcPmUqwEorHDy7rpUru4SS5uoQHd7q0OmoNxG83ALAHa7kysf/IDfNh1kxaeP1REKAAa9jgUvXcc/npzNb8l56CyBoCh89/LVDGgf+7eogM40giDQp0tz+nRpDoygzGrjl7X7yMkvoUlMGKMHdsBQI6hOr5f4+YP7uPqhD9lx4CSSKPjdoQEs+M9dpyUUNDTOJheHYBBcxtqicgfHcsqxyzLFNpmiMjudY4JIKSjnSGEFRworWPTh1xTkVaecsNmdHl5JVRssnxOfILB8/T7vpyQd4d36IBpc6hqhhnJZMls47khgwY5TqNRNgV3V/nC+jfQiK/Eh3tMqFJVYGXn7v0lNz0NVITc9m7KiUizBAQiCQF65gw83niTCoicmyIhDVjhZWMHLo1shCK4Aui5XvMzx9Dx6dkyie4ck72OpXDW/+fjVtL/sWXSSwPLZD9O3Q5z393IBEGA2cvUo/y6z8dGhrP/fE6zblsIv6/Zhdzjp2iaBVVsP8e2yHdjtTkRRoHuHpnz5+m00S4j8i0avodFwLgrBkJZVQGhoCCdyy7E5ZYw6iTCTSLjZperoHB3I1oxithzOoCArz+PapWv20L19UyRJICW3jIPZpYzvEOP1PrKs8MNvO0k9lUtggInSsgqP8+bYBESjCVV2IldYEfV6t9unIIoEhwbgECS/wWuKorB4Syr/HNne6/nZ363nWFqu27iuqirbft/I4EkjPdrllTvIK3e5ko5pG4GlstrbO3N/43i66x08eadnVbbaCIJATGQITWLCyCkoITH2zKWROJ8RBIFBvVozqFdr97F/TOzH7Jdv+RtHpaHRcC4K43NRiZXc4gpKbU63J4yrdrLrRxAEeseHUH7osMd1lw3pwrC+7RFEAaeikFFsY3dGCb8ddql6ZEVFqUzzALBm6yEeeGUuE0d0Z/cPLxIRFujRnz40nML9u8het4LczWvIXr+S/N1bcJS4ivEIDTH3qLC/0qXVG58t2lDH4ypldzIbl65Fdrp2P6rictsVBBjRKtwjRff781a5/x8QaOGbjSd4/Yf9vPNrMsnpdZP3CYJAi8QobHYnNz0xp/7xa2honPNcFDuGhJhQNqUUEBwU4LONqqoIsss2IAiCy/tmYn+csuwWIP2bhdEnKZRPNp1kS1oRlySGEm7RU+6Q2Z5WhDUtj+RfX8dicu0C9v74MvfN/Jaflm/FbrVRdGA31IoBsOfnkpefR1K/AfRpl4TT4UTnJxmcKIk4SnwnncvM9Z55df/m3aTsOkjzTq1p1TKBe64eQK8mwYSaPQ3EuYWuvE6m6Dju+eoATllFkgRUFWatSGFYh2hm3tidgEojtaqqHDnhqjGxefcxKirsmExazQENjfOZi2LHEBpk4XheuV9DoCAI9Orq2vrfPKEv/5jYH3C5oFYhiQI6UeC23k0otDr46UA2X2w7xcLdmaQWWIlv3cwtFACMBh3vPH41kx+/g9imcXWEQvW9VZ4d14p3buvDqUNHUXzUY1AUhbLiUjrGBXo9DxAb6ds7xW6zk7LjAGJONgObR2DW63HInhlYzUY9hrAIQtp3xeF0leR0ytW7otUHsnl83g7AJRTSsgo4lV3o+gwcPeWpitPQ0Dj/uCgEA4AiStQshFlurWDhT+v5bP5Ktu85wpHUDN7+0JXw7t4bh/ssliMKAiadSI9adZAVFSqcntdUFQUqLSwm43i63/E99NpXWG0O+sSaKcorrCMcFFlBkWXWf7+Cm8f3AVweorICdifYKn9umdTfr0eQrCjceHnl9bhqNdhlVzEfgInDuxKY1KrqAepcr6jw+/5sDqa71F8Pv/aVx/nwEN+7Mg0NjfODi0KVBJBX5kASBBRF4YU3v2L9Fu9pCCwmA+1a+PesUVRoFm5m44lC9zFRgOggz+AwRVEptTlpZ/LtvgquCb6s3Mai5du5/4ZhXPPwB6RagmnboyOWoACcDifH9h1m7x87eOexKwgLtqBWTui190D/mDSATxdtIPVUbp2a0aIoMKhnay7t37HOGJyKy633sTvGsvTNP/yOVxIFftqWxiur17Pyj+r3GBEa4HfHoqGhcX5w0QiG4AAdVrvMky/PYV/yCZ/tGlq1KyrAwG29EmgWbsFikFDVuteKosCO4/lEGPynogBXSo3kY5mYjHoW/PsePpy/io/nfU9GbjEoKmMHdWThG7fSv1tLABxehAK4qpD98vHDPPjqPJau3eOuX6zXSdwwvg+vP3q1j1QPKhUOBYOp/roGsqzwzv9+p+TIQY/jz94zrt5rNTQ0zn0uGsFw24CmXPnqUr9CAVypKrbuOUa3DknuWsy1kUSBpDCzp8pGgCpHU1lRkUSBk3nl3H7/29xz3aB6x6eoKoGV6ShMRj0PTr6UB/4xkvIKO0FGHQZDta1DVcGfqIkKD2LeW3dz5GQOew+loZNE+nZrSXhIgB81k4BdhgHPL0XSG/zmgVABp7XM49jDt4zgnusG1/ucGhoa5z4XjY0h0Kjn5IH9DWr7zpcrfQqFegPccKmVjmeXMuCqFygttXIiPZ+mcd6T01UhywqXD+vmcUwQBALMRvS1UmA0MNsCzeIj+PW4g+UHcjnWgHTgogCSweizzGcVekmgc5SBru2acOO43hxb/hqvPXRFwwaloaFxznPR7BgAjLLv2gA1+fH3nbz24U88ffd4HE4ZvU5CUVyFbhqa6uH4iXRKylw5/U+k5/Hmk9dx7UOzvLYVRYExAzvRoTJpW00EVF75cAkffbOGgqJyJElk2t3jeOiWUV568kSSRLJL7OxOKSBS3Uv3DklIkvfxO2WFbcdc5SyroppRVY+dgyi4Ds28sRuTempqIw2NC5WLZscAEBXm282zNjM/WcqQm1/nfz9uZOeBExSVlDcqMVrbZtXR0bde0Z/LBnXkveduwqB3KZwksbp856UDOvLhy7d66Ull3N3/5bUPfyG3oAxZUbE7ZP7348YGP4eiuCb3LxZvwOGUfbrC6iSRL9amejyDChh11V+R7s3C+OzuS5jUM6HB99fQ0Dj/uKh2DE/dMZrx96Y0uP3u5DS3O+bu5TMJa0TxlsiwIJ64YyxffL+ef1zeB1GEyRP70rVza75ZupWT6bkEmI0M6deJAd2aEVCrQI4ATHtrIeu31x1vyvFsyqw2AszeU2RXYbU7OZpTSoRB4WB+Cbc+NZsv3rgDUakuMlS1I5q14jCrD2Z7jkEQuLa9mTsmXILFKBFZw+vqeHoeWXkltGse465fraGhcWFwUQmGEf3a0yQhkrRT3msx+2L0jePJLbMTH2xqUBU0cKlxnrhjLI/ePgpBcK26T+ZZcQg6rhjb16NtVpGN7CIb7eMDCTTpXNobVeHjBWvr9NskJozPZ9xBgNno196hqipfrE3F5lB48x99uX7tGn5dt5cBN7zGndcMYezgzhj0EttTspm/M49NR7wHpkUEmWgaaXF//mD+Gl76v58oKC53H+vcJoF5b9xOqyTvOaQ0NDTOLy6Kegw1Wbovkyeen8Pho/4DzkRRYNLIHvQd0os01UB8sJm7+9VfttMbUmXW0u3HvaerANdEXuGQKSyrYETHGE6kZXPJddM92gRajKybN40mseF1XE5r16VeezCbe+Zs4f7RbbhnRGvuevZTFvy6zbO/Zq0ISGrlU7AodhvJb0/AbHKlzXj+3R+YOWeZ1/HrJJEt30yrNwZE48yh1WPQOFtcVDsGAKsiMPOluyjKL2Lm3BUoNjuJ8bH07duZP7Yls279dtbOeZDmcWEeqbbtssLB7BLaRgU2utaArEJ+qd1vG0EQMBt0PPn1QZ7+Zg839a2rx79hfF+axkd4vb9DVnHIMqnZpXz8ewp2WeWTO/vQr7UrrfPsV2/lockjSD6WiU6SmDztUyRLkN/xlJ044hYKuQWlPoUCuIzXNzz2CTu+e87vc2poaJz7XFQ7BllReXnFUVqFmmkeZibf6mDlsXw27skgO68cVZHZ9tpYLEZ9nRU4uATEH8cL6J4Q4q6i1hD3VYC1h3MJ0En1tps2fyfHc10xAt0jBH75don73NZvn6dl02j/L8IHogA1QiEwd78PQZII7dQDY1ikq2iQ4HI7EkSR0hNHKT2ajHXHewBMfXkec77bUO99ji1/TYt+/ovQdgwaZ4uLyiupwOogp8zOofxyREEg0mJgQpsoxnSMoOzoAaYNjcZidK2QfRWn6RoXzL+WHebddal89McJMgsr6rTzRnJueb1tZEUlr8Tm/ryvSKB1i2oX1oSY0693UPtpEqJDUWWZgl1byN+5CWvmKWy5WZSfSiVn8xpKjybTsWUciqJQUWFn72H/qrcqtu/3H0CooaFx7nNRCQan7Frd51kdbM9w6fsLC0r45N2vKE07zg2VtXv9YTFIGCSBzGIbLUKMGPXeq61VoagqqfnlHMkv82u4lhWFLUfzKLVV51WyOxWGXzoAcAklo+H0NX8PvDqP+CFPkDD0Sa58YBZP3VEdB2EvzKf40F4K9+2g5Egycrlrx1JqtTHstn/z0bd/MOWawTx112Uk1hOoF9kIl2ANDY1zk4vKxhBh0SMKLn34/MVreX3vIYoLirBX1mj2Fe1cE0EQGNY8HLMg0qFJEMFm/wXvRUFg+eFcYoNNJEZYOO5l5yArCqUVTuZtSPU4LgkCbVo14bWHJvH+vFVe1Vv1oaoq85ds5rNF1WqgX9bu45e1++jXrQV/7Dxa5xpdYDARiU3572PjGNIlEYdTdu04BHh8yhimf7SEN2cvrXOd2ajnks7NGjU+DQ2Nc4+LSjDodSIleYV8++F8nA6XMIiPDuWWKwbQp0sLVOqqXLwRG2DEbJQINut9TtSqqqKo8N2eTA5ml9E83Ex4oAFJFMgotGK1uwLNZEVl85E8vvrjOLk11EgAsqqSEG5h4siRPHzLSCqcdb2Pat+z5jlZVnh37gpemfWT+5goCu5AvT92HuU/065l9sL1JKdmgiAS260ndksY/765OwM7xVW+N8+UHM/cM56M7MI6gXaJcWGUlFUQFFB/Ij4NDY1zl4tGMMiKSkZBOd9/vtgtFCaN7M5HL92KKApIkojNIWOsNCorqkq5TUZRVUx6CUONCOAWMQEUlvn3MkorrOCTzScptbuK82SW2FBVlRCLnhCLHptD5plvdrH2YA7FFd7TcgebdVzasdrYrBfBofgWCrKicjizhBbRFgKNOkbcMpPt+08iSSJTrh7EndcOoW3zWOwOJ0tW7+HdL1ewaMUONn8zDYDH5u3kuy2nSIq0MKZr3fQcNfn30zdQUFzGmi2HMOh1FBSXc/h4Djc+Ppuhfdqj14mcyMhn/OCODL2krd++NDQ0zi0ueMHglBU+WXWMT9ccI7vYRljPQTit5SRJJXz8yq1INfIfiZX1GnJK7GQV2TwqvgWbdSRGWDDoRIw6kdhQM4VldkIs3ncNkiS4hQKA1aGQU2YnKsDgshfoJaYMbcnKfVmIgmdiPAFXBtPnJnXCbKhZQa4ys6niuTsotTmxORWyCysItegINkkIAuw86MqsOvfNu7h0QEeqcnAb9DrGDe3C+GFduX3aHJ757/dMnTya77aeQgWGdohxZ4j1hV4nMXfmXe4x5OSXAK7Mrg6HE7XyPnmFpfzr/Z944d5xjVaDaWho/D1c0IJBVlTu/2IHv+7O9KhdIJnM3Htd3zpJ8fQ6keM5ZeSXOZBEAUkU3MKh2OpkX5rLYG3UiUQGGYgMMlJmcxJoqmtniA82kRRq4kRhhfve3+zMYOqAJHeb9gkhzJvan1cX72PbsQL38aTIAB4d146eLUJZl+o63ibSQkyQEZ3ocj21OlT2ZpTwW0ouaUUuFZRZLzK4eRjxYSaMOled5inXDubS/h0RBcEjIZ4rMaDCRy/fQvvLnuG4Ve8u8GDSSZVuuI1JAVJtdNbXqFkdGmTh/smX8ul367n9qoEN7k9DQ+Pv44IWDL/symDp7sw6xwVB4NJOsa7JsgY2h4wkCnRICHKrlOxOmZxiG9nF1aojm1PhVEEFBWUOooJ9F76/sUcC/1lzjIrK2snHCqx8tyeTKzrHIlSOo31CCHPv7c/JvHJOFZQTajHQNi4IQRD417JDlNiqdx3towO4pVc8QUYd208V8fXOTI+p2+pQWHYoj4M5ZTw0MIno8CDuuX4o+LCeiKKIQQ9vPHYNBYZQ/vj1EKoKyRnFDTbEe/t/TSRJxKjXUWaTcTpld44mDQ2Nc5dGuatOnz6d3r17ExQURHR0NJMmTSI5Odl9PjU1FUEQvP4sWLDAb98HDhxgwoQJhISEEBAQQO/evTlx4s/5xH+57ji+tCEmfd0JymXsNXvYEww6iYRwCx2bBGPUe76ucrtMYbnvVN6RAQZu7BLHoBZhmCr73JVewrpjBThrZWpNjLDQt1Uk7eKD3ZOspdYYk3PKeGfdCXLK7HyzyyXwakcnqsCJggp+O5LPY7eNpFlCJKLo+9esqnD1mF60jQ9xq7PWJueQVVThoUrzvKZxMZE6ncSkkT3Yvv94o67T0ND4e2iUYFi9ejVTp05l48aNLF++HIfDwahRoygrc/m9JyYmkpGR4fHz4osvEhgYyNixY332e+TIEQYOHEi7du1YtWoVu3fv5rnnnsPUgDKT/kjJKvVZ1MbmkOscsxh0bkFWG4NOpE1soIfQACgud/qdQFtGBzCxYyyvjm3LzPHtmDGuDb3jA9HVk4xPVlSKahmlFRXSi218vzcbf3OzCqw+ks+9NwyrdxKvqr0wsG0UcaEmBMF170f/tx2nrOCsVTdaVVXk0wiWt5gN7Dh4qtHXaWho/PX8qZQYOTk5REdHs3r1agYP9l7WsXv37vTo0YPZs2f77Of6669Hr9fz5Zdfnu5QvKYHGPLK75zI8x5xvOCBAXRsEkKJ1UlOiY3YEBMWo/+UFaqqkldq52Se1eN427hALEZdnbYq1FFXich0vPJ1diyY5lNd45QV9mSWMHd73WhjAQgwSpTZZK81n2vy1vg2CIKEU1Z81Hn2ZPuxfG77aBNOWUFRoXVMIHcOb8WYrnHoJRGHUyG/zE5kkLHBWWbB5Ta7K/kkhUXFXDaoc4Ov0/CPlhJD42zxpyKfi4qKAAgP9x4Nu23bNnbu3MmUKVN89qEoCj///DNt2rRh9OjRREdH06dPH77//vs/MzQAxneP86lK+mzNMdLyrRzJLqPY6qw3ghlcq+vwgLo2hZrX1cydVFsoALz77WbSTmbw1Jsu1Vrt4j9Op0xJWQU/H8iucy24dgOyrPoryey6P6CXRHSiS8/vTf47nZ67ph7Nw/nm/v4MbBuFKMDhrFKeX7ibp77aydqDOew7VYzFqGuUUADX/T9ZsIaRfdo36joNDY2/h9M2PiuKwkMPPcSAAQPo1KmT1zazZ8+mffv29O/f32c/2dnZlJaW8vrrr/PKK68wY8YMli5dypVXXsnvv//OkCFDvF5ns9mw2aoDwoqL66a0njywGXPXH6fMJtdR91jtMrkl1QblhtZRFmt5KwFkFlqJDTVh0vvfcUgC/LB6LwgCsxeupajEyjP/HE+zBFcGVEVR+W3jAZ56ayHdrxhLaFjdVaAgQJhJJL3UeyU2AFVRCJdk9wSuAnanK85BFFz30ekkTmTkExpsJjyk2qOobXwIH9zem5xiGyfzrIiigE6EQJNEfJjFbZT3FWhX87iqqqiqyrL1+8jNL8bwJ1J6aGho/HWc9l/q1KlT2bt3L+vWrfN63mq1Mm/ePJ57zn8a5qpSkxMnTuThhx8GoFu3bmzYsIEPPvjAp2CYPn06L774ot++Y0JMzLu3L3d8spXMogq3Xt+pqIzr7pnWurDMTlSwsd5dg6KodYRMVJABi0FXr2pHJ7rUKlUs/HUr3y7bRsfW8QQHmEg9lUd6diEAXWXvE7+iqHz38UJaDu5HRGwUope6DKoKn3+ymA/f/JyVcx6hc5sEJL3Ir+v3U2K1U2FzsGT1bn5etZtHbx/NY7eP8VA1CYJAdIiJyCAjdoeTdmOfprTcxrA+7UiICcPucHLvDcPo1KYJDocTcAUIOpxOsnKLaRofAUBGThEffr2KxSu2sfv7F+p5OxoaGucKpyUY7rvvPn766SfWrFlDkyZNvLZZuHAh5eXlTJ482W9fkZGR6HQ6OnTo4HG8ffv2PoUOwLRp03jkkUfcn4uLi0lMTKzTrmOTENY+N4wV+7LYdqwAURDo3yYSg84z9iCnxKU79ycXqmwMNTHpBALNBvSiazUvq64AtJqIgF5yne/TpTnbNu/x6NNk0HPThP50bBVHSZmNH1btQYwOwVGrHwGwHjzA/sOnOJL2EyOvv4yYxDgU2WVvEEURVZZJlEt55e7RHD2Zy1UPfsiG/z1BZHggYwZ2wG538sH81RQUlREWbGH2wrVc2r8jXdsleggHp1NGFAXuf/l/FJW4bCorNuwHYGCPlvzns6XkFVUwZlAnjEY9ew+l8c0vWygpqyAyLBCdJFFYUs7UG4aw94cX0Om03YKGxvlCo4zPqqpy//33s2jRIlatWkXr1q19th06dCiRkZEsXLiw3n779+9Py5YtPYzPV1xxBWazmXnz5jVobI0xxCmKyqajRXWOBxglWsUEInrRoVelnDiYXoJDrrIjQOvYQAKMOiTBNfm72larpkTPuDKKSm0kjJiGbHcJmJcevIL7bx7hrr2sKAqCIFDhVHh3XSpZlYJILwkMaBrC4q+WsnjlDre3UExiHIltm2E2G7l6cCeuG9gGkSobhIAowIyPl/Dc3WPQ6XQ4nU56XvMah1KrbRgWk4H7bh7BlGsGER0ejKKorNp0kLc++5UNXmpO7/j2Gdq1iGPDzqNMuPc9yqyewlKvE5n1ws3cNP4Sv78HjT+HZnzWOFs0SjDce++9zJs3j8WLF9O2bXX+m5CQEMzm6oLwKSkptGnThiVLljBmzJg6/bRr147p06dzxRVXALBo0SKuu+463n//fYYNG8bSpUt56KGHWLVqFQMHNixatrF/JLtPllBmq+uyKgjQLNJCsEXvYTwurXBwIteKrXI7EGTSER9m8vBGMtVYFCdnlPDVHyc4mF5MgFHHmC6xjO8ej9kgMfvnHdz//GfcMK437z9/s88xqqrKicJyBKBpqImfV+1m/i9b+WnVrjruqvPeuptLB3RAJ3kPIPv21y3cNK434+55l982JXttIwgCocEWbDYH5RXec0H98/rBvP3ktR7H/vfjJn5YtQtRELn+sl5MHN7N5zNpnDk0waBxtmiUYPClf//000+59dZb3Z+ffvpp5s6dS2pqqtfgKkEQ6lwzZ84cpk+fTlpaGm3btuXFF19k4sSJDX6Qxv6R5JbYOZzlu3iOKECgSYcoCAhAkwgzqgoOWUEvieh1dZ+rSjC8t/wwby055DZSVxZGIyHMzLx7+9I00sLqXSeIiwiiSXSI3wA0vejKkQQwZ9EG9hxK55MFazziC9o2j2XjN8/67ENRVI6l5ZAYHUTsoMfrtYV4Izo8iGfvGced12hpLc4VNMGgcba4aEp7KorCodQsFBXaNY9BEARO5ldwqsDmpTdP2sS51EX1YZRgya4M7vt8u9fzkiiQGG5mxbShiIKAlw1L3WtqqKi+/HET7VomMPim1z3aPHTLpTzzz/E+dwtV3PzYh/y8eo/fNt54/p+XMe2uyxp9ncbZRRMMGmeLC94iqCgKd//rf8z/ZSuOSr99nSQycXhXPnvtFsIseo7mlFNu9+4FFBdqapBQAHDI8MHKlDrZUquQFZXU3HJWH8hmWIeYRj/L2IEdEXR6br9qIHO+rTbMm4x6VEWFetIQpZ7Ka9T9IkIDeOn+Cdx+5QCfbTbsPMLM2ctYt+0wKtC/e0vuv2kYl/bv4PMaDQ2Nc5sLWjAoikKf61+vU6/YKSt8u3wHOw6eZM/3z9O1aTAFZQ7SC2wUVzhd0cUmHTHBRoIt/iu01aTQ6mBvWt14iproRIFVB3MaLBjenbuS68b0ID46jKCgQFRg5hPXEh8TxrtfrqCoxMq+w+keGU29Ya2wczy9YYLhgZuHc8/1g2leGV/hi/te+YrZ3673OLZiwwGWbzjAM3eP5dl7xjXofhoaGucWF7RgeP+rVR5CwWIy8MSdY+nYKoGSsgr++8VyXvlgCc/fO56wAD1hAXpkhTpuog3FV86kOu0qI5d1Yl3X1iqcskx+YRn/eu8H/vX+D6SumIHF4sodJYoij942mvtuGs62vanYHE5kWUEQ8GqvcDplvvppE6Xl9avNjAYd0x+eVE/iPZV73viRxftKCO/RD8XhoCI7nYqcTNTKuJRXP/yFwb1aM7hXmwa8EQ0NjXOJC1owvPPlb+7/P3HHGJ688zKXr3+lWWXSyO4cPp6FokDVPFhl6HUqnplLhcoffzJj0S+bkCusiEaTT0O9U1HplhTqupcASqXaSa6Rz8gpy5Rb7dzwyIc4nDKjBnR0C4UqymxO0gsqSGqWQEywkTVbk+nfvRWSqHqktnbKMiknsnnp/36o73UBrnEE9nwAg17HmEEdeeeZ64gOr9ZfK4rK/Z9tYVmmhCk6DkEUUVUFU0QUzqYtyN+1GaXSFffZ//7Ami8fa9B9NTQ0zh0uaMGQVVlVbMpVA3nqrmq1Rs1Ju3VSDHYFTDUWyFJlMRwVlzeRIFQKBRUUH5JhwdItPDpjPpYmzQhq2c7nmAQgMdxcOQ6X11FJuY3Ne0/QvmUcZeU2vlu+jU8WrOFUViEAk0b2cNcyKCiz89+lySzamoa9crvRJjaIO4Y2Z8QtM3no1lFMHNEdvU4iv7CUOd+u490vV1BcVuExDqNBh81et6RolbeTzeFk8W+7WLp2H9u+fYaWiVEAfPT7UZbsyXGNv1KaCoLrX8kcQGiH7uTv3ATAlr2plJbbCLQYfb4PDQ2Nc48L2ispot8jlFfYObpyBqFBFp+reFVVMUgC9SUgVVSw+/AkajnySfKLykAQCO3UA1NEtNd8QgJgMUr8+uQQEsJcAmLez5uZ8uwXPu87d+adXDakC4XlDq5/dz2nCqweaqsqd9jiw/soP3UCnSRiMuops9obXTvBGwnRoez47ll2Hc3hri/3Yq1H15a7dT3OUpet5b1nr2eKVrntrKB5JWmcLf5UdtVznSG9W9OmeQxhwQH15kBy+MhNVBNR8P7CDh7NcAkFAFXFXpDnO8kcUOFQmLuuumiNWo9t4ujJHGRZ4cOVKXWEQuUtAQhq2R5Bb8ApK5SW286IUAA4lV1Iy1s+5ubZu+oVCqqqYAx3Ga0FYF9KxhkZg4aGxl/HBS0YZj5+NU1iwuocd8oKucU20gusZBdV4HAqFBZbvfRQFy+F30g5nuXx2RQV67cPWVH5eWe1UXzsoI5+23+xeAOqILBw8wn/Bm5BwBwT77ev0yGgaUssTZrXK1yByiqirnaiKGAx+S59qqGhcW5yQdsYWiZG8cDNwz1W79nFNtLzrR6G5VMFFTis5cSE+1Y3VZFfVMrRtDyMBgOtm8ciCAKtm3m6ngqS//Tb4Er7XUV4aCB9ujRn0+5jXtumHM9mxuxlXlN4eKCq6CwB/ts0EkGUCGjaomFCAZfdwVFUALgE4OXDupzR8WhoaJx9LugdA8DoAR04nu5S7eSV2DhVSyhUoTOZOZlf4eWMi/TsQub/up3SCpnO7ZJo1SyGNVsPsXD5DprEhRMVVl3TwFla7Hbb9IYkQLt4T53wT7OmEhnmfVKXJJERl7SkIVOz4nTFYbRM9B+D0FAMoeGIDcyMqioKzvJS7IX5SJLIwB4tuaRzszMyDg0Njb+OC14wAEz/4CcURSG90PfELwgC6YU2nHJdsZGVV0xadgnjh3YjJjIEcMULDOjeiknDu/Lw+ytp1auHu315+km3x443ZBX+MTDJ41igxcSRpa/ywM3DCQu2IEkiZpOeicO7kvzziwzr1Zoh7aOQ/EgHQRSpyM7g0oEd2Pndswzo3tJ34wYi+EmzUdOGoaoqqtNJ8f4dAFzSqRnz376rwTsNDQ2Nc4cLWpVURf/uLbjnxf9x7+0T/LZTVSgodxAV5KkX37r/JEMvaV+nbrKuMk32v+8dweB/LSOiYzdKD+/DVlxI6YkjBDZt6aHGEnCp4K/slcClnWIq71l93mDQMePRK5nx6JVex/fAqNasTc51+czWmnBVVcWWl4OztJj1246QW1hOi8Qo1u840tDX5BVneZnPc9WV2hQ6hglEyeWEj+/JlSO7M6BHS00oaGicp1wUgmHyhL5s2pfWoLa1jbsVdgfd2zerIxSqEEURs9HA6FaBLFZF2nRoxb29gti65zj5gkSq3cThLNfk2jTSwpQhzbmxX1O2pRXz25F8ThZWIAgCHaIDGNE6gtaRFp9jax5upOLQbqSkdoh6vUtdJbjiCGy5WRQd2A1AmdXGuHvepcVpqJMkUcBg0BESaKa4rILyshLsxYXog4Ld8Qoezy9Ax8QwfnhEc0nV0LhQuOAFg6KCTm/g7Sev5UB6ab3tTXrPya+gqJzwsBC/1zhlmTYJISiHyjmWU0ZSqy5cPaqn+3yx1YGiqIRU5l36amcm61ML3TsIVJV9WaXsySzlxm6xDGhe15MK4LJ73iUvLQ3S0zFFxqALCESVZSpys5Brrez3H8lgeJ+2Xvvxx6QR3fjHhL706dqcb37ZxoPT51OcvIfw7n1BxENFJqBiNuiYcb1mYNbQuJC4oG0MVQFpsgomg44Ao//0owadQIjZU1YGBZh8tK5GEAR3AR+A1BzPSTrYrEcnKEx+6lO63PIu61MLAc+UG1Ubla92ZpJTWrdITmZuMTsOnKxsrFCRnUHpscOUnThaRyhU0SQmzKPYUEP4dvkOJt0/i2Yjn+bg0Qyeu+cy1Ipy8rf/ga1GLiQBlcu7x/PDIwNpH68FV2loXEhcsIJB9RKlnBhhwUvVTsCl/28VXdddNdBiJPlYBrKfADi9TuL3w9WlQgNNnsKlsLicVqOfZeGy7bTp2RHFj8eSIOAWHDX5fuVOn9f4wmzW88LU8Y2+DsBmd/LhgrX8uGo3kaEBOMvLKDywi+x1K6jYvYGnBoTx38k9aBEdWH9nGhoa5xUXrCrJWxyY2SDRNi6I9EIrReXVeYKCzTqaRpgIMnl/HSa9hCSJXqOZnU6ZHYcz2JVZ4b7H4HZRHm2uevBDikpd5yNio/xmLlVU2JSSxaRO0a7kepUypGu7piTGhnEys8CjfVCAidjIEApLysmpzA1VxZUjexAZFkhosJkX3v2RwpKGBfG5x6Ko7DzoaZtRFZnC/CIefPUrdCJ+azVoaGicn1ywOwZfAcImg0SL6EA6JwbTLj6I7knBdEwI9CkUANo2iyYlNQOnrCDLCk6n7C76syv5JJOfm4uj1DUp3zuypUdhn9LyCv7YWe0Z5G+3AC7vogOH09my/6RbDSar0K1DEjsXv8jTlTUOmsSEMevFyaQsf53NC5/j0K/T+fGDB+hf6aLap0tzIitjK+66ZjAZa2byw/v3YqinbkNjePrf31Nhc5yx/jQ0NM4NLtgdQ33oJBGd5CrHWRtVVSmpkCmtcCIIAqEWHZ1axeFwyixdt4+8onLKrDZ+/H0Xqzcnuy46nsaAgd2ZOtKzBOamXcc8bAknk4/RolMbRD8Z+3okhdGhVYLHMUEQEASBx6eMxelUmHL1IMJCAtDXSLHdt1tLFs96kDuencOclybX6ffOF+Zid1TvlPp2bUGnNk2wVthZsWE/WXn+iwzVpqjUyq/r9zNxeNdGXaehoXFuc8EKBkkEuZ4MEt7MDeV2mUMZZVgdijuASxAEgk0iFsHBdY98iK/cdOvX7WDRip1ceWl3V19WO7O/86xwtnfTLlp0buNVLaUoCg6bnXsv74bkR9308K2jXIJN5ynVdJIrruKtJ69HUT13Jqs2J5OV65r4O7VJ4JNXbqNt81gUxVU0SFZU5v24kSdmfuM1HbcvqvrU0NC4cLhgVUlVhXX8IYmecWI2p8K+tFLKK63WVat0gIIyJ+v2Z9UbtPX8u66COCcz8mk64ikWrdjpcT4/M5dV3y5DkRUUxSV81Mp/bdYKhONHCTD5LydqMurrCIUqRFEkIjSQ75Z73vfzxX8A0LxJJD9/+JC7voIoup5RJ4ncdHlfPn75Vr/3rk18tH9XXg0NjfOPC3bHIAhgkFyeSd4W+JJAnfQSGYU2HLLidfKXJJFWzePp070Nf2xL9nnfoyddRWyG3fo2Zda6bqcAqQeOkHUigzbd2xOZEIOqKKSlnODo3kPcNqm/z5TdDcXhlHHWMrLIlak+HrzlUswmg1fBIkkilw/vRvcOTdmx/0S994kICWDUgA6nPU4NDY1zkwtWMEC1cFAqDbiq6orUrarQVoW9UnWSW+KayPecLOT3/VnkFFcQbNEzqG00vZqHIwAjBnX1KxhUYOOuo5zKLvQ7NmtZObvWbatzfP+RDL9eSw1BEgWUWvqucUM68+3y7Vw39hIPu0RtHE6Za8f2ZtfBkwzq2Yp121JQVLzWdpj5+FVn1JitoaFxbnDB/1ULlTuD2lOhoig8MmMBn37/h1swjBjUFUdsCw7lVCBW1mIWBdiRWkCL6ECmTehIaLD/tNYhgWa+/GFjPWMSMBr12O2uiOiarN9+mKMnc2gaH4HOi4Ha6ZSpsDuwmAw+BYiqQu9Onkn6rhvbi8ff/BaT0b+aShJFxg3pwtWXdqNJTBirNifz0PRvSE6trjnRJCaU6Y9cydWjevjpSUND43zlgi7t6QtFUehz3evsTUn3OB7Uoi2WRO8FaUQBujYNo72pjLc/XOyz785tEjiZkU9RmR19cCgIAs7SYhSHndDgAK6fNIhxI3oRYDFhsztYsXYXX32/hvTMfHcfPTsk8cOHD2LQSR4qH6dTJqeglDc+WcK/p93g04D9/Yrt3HhZrzpjW78jhVbNEwgJNPt9P5LgWZBIVVW27T9BWmYBkWGB9OvawmfuKI2/Dq20p8bZ4qIUDG/M/pUX3vvR45ggSkT1H15v7YGgjGQOJx/13UAQCGzWGkuTJETJ1ZeqqqiFObx62yCaxYZ7TKpOWcZmc/Dg859w9HgmAOOGdiTleB6P3j6aSSN6oNdLlFltzPtxI2/N+ZWsvGJuuWIArz96NQa9DqcsI4oioijww8odTBjSCYvZe+W07PxSAgIsfid2g4TPCHGNcwdNMGicLS5KwZAw9MnqGs2VGELDCe/Wp977FCXvwZrhGQ0sCNV1l0M6dMMUFVtnJS8AcWFmXrq6CxaDp/CRZYW0jFxue/gd97Ho8ACy88sw6HUEBZgoKinHWSstR3CgmcmT+tGpdROcTplOrWLp06W513ErisIt0z5j7bYUVnz2GDGRIV5tDbV3C383ew6lcfszX5B8LBNFhZiIYGY8Momrx9TdEV1saIJB42xxUeoDCoq9JZ2rf4msqip4ST1dJRT0IWGYo+O8qqJUIKPAysq9mXXOSZJIUpNoOrZt6j6Wne8ao93hJK+wtI5QACgutfL98u3cMuESplzZz69Q6Hn1ayxctp2svGIuve0tfl27p1b+JxWdCLpz6Bvx0v/9xBUPfEBwsIU2zWORFYX0nEL+Me0zLp3yn797eBoaFywXvPHZGwICai0nVkdlOU5/ldcEQcBRXODzvCWuid8+VGDlviwu79GkzjlFVWmZFMu+5PrdRGsSYDHW2+a9//3OwWPVAikzt4h/PPEJsZEhtG0Ri83mYGDPlrx8/8RG3ftscvBoJj07t+CxO8YhVuq1Uk5k8/L7P/DDbztZtz2FF9//kRemXv43j1RD48LjHFof/nW0Soqqc0x1OrBmnUJVvecyUhUFe1EBztISr+cBRKPZr2ABKCizeb9WENzeUY3h9iv619vmnbm/ez2emVvE6s3JbNx1lNkL13tt83egqBAZGcqQ3m3dQgGgRZMoPp9xBzdd3heA/3752981RA2NC5qLUjC898z1Xo+XpBzEWVpS6bNfvaMQAMVhp+jALr/9qg67u16BL4J8RDXLssKmnYf8XlsbQYCPFqzluXcWU1HhPZgOIKfAtzCroqi0cZlXzyZOGUyGutHdoiigqiozHrsGi8mAVUvgp6FxVrgoBcOgXm145NaRdY6rspO8HRuRslJpFR1IoElH0wgLN14SS+6WdcgV3ifPy4d1Y+knDzPnifF+dwyiAIPbR9c5rigKv/y+jYLC+ivMeYxXhSMnc3nz0+VED3qM9TtSvLbT1+NpBfjNzXQ2UdXqH3CVs1bAZ8oPQRAwmw1MGNH9rxukhsZFxkVpYwB49cFJXH1pD2579nNSjmejqCpBASYemjyCB24eToDZU3f/1hufeu3nhfsm8NAto3BWptLo1SKc7cfy66T9lkSBUIue0Z3jcMqyy86hquh0Eus27+fd2T/9qedxOBVG3/FfJk/sy5I1+7DZHTSJCeOZe8YyvG9bfvx9t9/r+3Vr8afu3xjUyjoTiuoSAo1Fdso0jQtHqp3TREND44xwUbqrng6X3/seK/446HFsUK82/DDrAY9jZTYnLyzcw5Jd6R5ZWLslhfLfm7sTFWzk5U9WYLGYKCwuY8WaXSQfOXXGx1uT4SN6Yw2M4VSpglNRiQ7UoyvKYdvaja4gOWDT/Gl0bpNQb19/BlUFh3x6wqAmiqLw1JsLyckv4qs37zwjYzsf0dxVNc4WF+2OobEsfu9eWo15joyc6hKed14zGIdT9ogHCDDqePOm7jw6rh0bD+ciKyo9moXQIaE6C2mAJPPauwvrpMM4G3Tr14uDSiQUy+5dTFaJA1UMpe+EcWz5aQmfvnbLWRcKigL2PysR3H2prNmazLYFT5+ZDjU0NDy4KG0Mp4MoiqQsfZmn7hyN2eSKKu7eIclnQrq4UDNX9E7kmj5NPYQCwF3XDCIyLPCspJWQJBFDZQBdSHgIuWZXidCaMqjqv8eKZMZcMZrsvJJ6K8v9GVT1DAoFVWX5+r1sW/A0knQOReJpaFxAaKqkP0FFA7xLBcDoZV925EQONzz+CXsOnXK5ZKquSa9/9xbk5Jdy+Hh2o8bStUNzrp80iN7dWiMKAumZ+Ww/lss3O3PrpOCuObaoID27f/wBo0HHD+/fy+BebRp134bgVFw/f4rKr6kkCuhq1dG4WNFUSRpnC00w/AkclTWZ/eEvmlhVVTbtPsam3cfQSRLD+rSlQ8s4VFXl5Vk/M3POMhRFRZJEt8G6djptgNFDu/PEvVeiKIp7Fa0oLmP4ruMFvPXLQWQ/aqvsNctQFBlRFDj404skxoU3+B00BJvTe02MxiAAOgG0TUI1mmDQOFtoguFPoKiuQkD+MEqnv7rNzi9h4a/byM4vISE6lPGDO9HnhhnkFLjcWkcN6Mgd1wwhMiHONfN6S8Whqny+9hjL9mR4vYcgQOaqpe56C5cP68I3b99Vdyyldg7nlqGq0CLCQnxw/RHXxaVWnnv3B56+53JCgiyNeHLfiLhyOWk7Bk0waJw9NOPzn0AUQC+Cw4eaxPAnJ7Do8CDuvWGox7GDP7/E7c99xtjB3bjusktIzy8nq9juM9WTCozuEudVMIgCJIboyaixNljxxwGPNqU2J19uz2BvZq0Yi7IShsabuGZ4F6/3/XrJFqY8+wWKqnLD+H50aZvoEcV8uii4dmoG7ZuroXHW0IzPfxJJdO0KdJVV4UTB9X/jWUpdbTEbmPvGXVx3WW8AbE7/Gz5REIgLNSN5GYyiQnHqEY9jDodrC6SqrhrY76w7wf6suoF3iimAH1LLiR/2FGu2ekZs7005xe3PfO5We322aP0ZXeEruLycNDQ0zg6aYDgDCJXCwCC5fs6mcVRVqwy5gvve9SErKoqiujcVouC6Lkks4cDOfR5tQ4LMbhXZlpMlnCq21QnWAxAlkaDQYOLbtmTMXe+y6+BJ97knZn7nYVP49tetOJ2y1/Kgp0t9th0NDY3Tp1GCYfr06fTu3ZugoCCio6OZNGkSycnV9Y9TU1MRBMHrz4IFC3z2e+utt9ZpP2bMmNN/qouIEIv/Up0AYQE6nruiA50TAmkWqqdFgIKSvI1Nv62r0/aJKWOwyy4V1Na0wnqTkbfu1g5VVZn6ytfuYxt2eu5CRg/shF6v85qO/HS5MCxjGhrnJo3S1K5evZqpU6fSu3dvnE4nTz/9NKNGjWL//v0EBASQmJhIRoanLvujjz5i5syZjB071m/fY8aM4dNPq9NOGI31Gzc1INSix6gTsfnxB20abqZjQnP+0T+RNmNfICO3yGu7uKgQ7r5+iHu1X2KT/XoTCYKAOcBlVN6+/7j7uFyrdkTPTs2wO5wY9J5ft30pp/h80Xr2p6QTaDFx+fCuXHlpD8ym+n/3mvFZQ+Ps0SjBsHTpUo/Pn332GdHR0Wzbto3BgwcjSRKxsbEebRYtWsS1115LYGCg376NRmOdazXqRxAEWsUGkpJZWkc4CECrGAtBZtevWafTsf/HF7jigQ9YvfWQe9UtCDCkVxsWvXMPao1NZLhFT1apzefqXFEUSotcmVtV1fVZFEWiwoM8IsSdsoJQa+/xxse/MP2jn5EkEVlWEAWBX9ft5eX3f+TX2Y+QlBDp97m1NEkaGmePP+XbUVTk+uMPD/fu975t2zZ27tzJ+++/X29fq1atIjo6mrCwMIYPH84rr7xCRESEz/Y2mw2brbq2QXFxcSNHf35SZc+oKQMMOpH2CUEUlTsosjpRVZUgo0R0iAF9rehqk8nALx89QGl5Bb9vdhmNR/Rph8VscBmca7jf9mka6tXwXD0WgYPb9rn/L1ZmaL3/pmE8/Z/v3e1+33iA+28e4f787bKtTP/oZ6B6d1FlqM4tLOXah2bxx/xn3P3VRhTgb0oGq6FxUXDaf16KovDQQw8xYMAAOnXq5LXN7Nmzad++Pf37+y8mM2bMGL744gtWrlzJjBkzWL16NWPHjkWWfQcJTJ8+nZCQEPdPYmLi6T7KeYck1PV4EgSB0AADSZEW2sQGkBBuqiMUahJoMXH50C5cPrQLFrPBa5sOMYG0jQrwamdQFIWcU1kc3eMSLn26NHOfe/Afw+nYKs79edXmZA4cycBRaYD+92fLfdobZFnhUGoWv2086PV8lYuwhobG2eO0A9z++c9/8ssvv7Bu3TqaNKlbqtJqtRIXF8dzzz3Ho48+2qi+jx49SsuWLVmxYgUjRozw2sbbjiExMfGiCfZRK/MfyZX1CwRcrrOS8Of073bZM6+SQ1ZYcjCHP1ILcFSeUGSZwzsPsmn5epx2B5IosHXB07RrUS0MFEXhny/N4+slW7A7ZBLjwvlx1gMEWIy0HjXN7xh0OpEpVw3m9ceuhspnE4VKgagJBTdagJvG2eK0VEn33XcfP/30E2vWrPEqFAAWLlxIeXk5kydPbnT/LVq0IDIykpSUFJ+CwWg0XtQGaqFyojzTefj0oqc6SS+JTOwYw+g2kZwsquDrJZt57+OfsFe4hHJkWADfvfNPD6EArqSDH/7rZmY9fyMnM111spvEhLHnsPcI7No4a+wWhcrnrKrjIP5J4aehoeGfRgkGVVW5//77WbRoEatWraJ58+Y+286ePZsJEyYQFVW3vnJ9pKWlkZeXR1xcXP2NNc4oguCKxXDWqptg0ku0jw7gvsu7Y7FbKbfZuWxwJwZ0b+W3P1EUSYqvthW1SYogNjKETB+eUQBOp0KvTs3cn72lHqlSEyyeSAAAB4xJREFUKWkCQkPjzNOo9ebUqVOZO3cu8+bNIygoiMzMTDIzM7FaPUtepqSksGbNGu644w6v/bRr145FixYBUFpayuOPP87GjRtJTU1l5cqVTJw4kVatWjF69OjTfCyNP4MouFJOGCXX5GuQqqO746JCeeaey3j1wUn1CgVvWMwmendu5nNCF0WB0GALk0b28NtPlbDQ4hk0NM48jRIMs2bNoqioiKFDhxIXF+f+mT9/vke7OXPm0KRJE0aNGuW1n+TkZLdHkyRJ7N69mwkTJtCmTRumTJlCz549Wbt27UWtKjoXqFLhnGnVzR1X9mNQZXrvmvmTJEnEoNcx9407MRnrD9xTwWtUtoaGxp9Dy66q8bfw4vs/kZ5bzM4DJzicmoXZZOCKS3twz/VDaZUU0+B+RC7ehHrad17jbHGR/klp/N28MHU8i3/bxYlTuQzu3YbHpoz1sCs0lAtiVaOhcY6h7Rg0/nYqbA5kRcFsMrptBqKAO2eTP7Qdg/ad1zjzXKR/UhrnEh72hBq2DEmsvyToWSibraFx0aP9WWmcs0iCz/pDQHXgm4aGxplFEwwa5yxVMRXeJn9R+PMV8jQ0NLyjqZI0zmmqhENVChDQIp81NM42mmDQOC+oSgGioaFx9tFUSRoaGhoaHmiCQUNDQ0PDA00waGhoaGh4oAkGDQ0NDQ0PNMGgoaGhoeGBJhg0NDQ0NDzQBIOGhoaGhgeaYNDQ0NDQ8EATDBoaGhoaHlwwkc9V2cOLi4v/5pFoaPw1VH3XL5DM+RrnEBeMYCgpKQEgMTHxbx6JhsZfS0lJCSEhIX/3MDQuIC6YQj2KopCenk5QUBCClmGtXoqLi0lMTOTkyZNakZe/iDP9zlVVpaSkhPj4eERR0wprnDkumB2DKIo0adLk7x7GeUdwcLAmGP5izuQ713YKGmcDbZmhoaGhoeGBJhg0NDQ0NDzQBMNFitFo5IUXXsBoNP7dQ7lo0N65xvnCBWN81tDQ0NA4M2g7Bg0NDQ0NDzTBoKGhoaHhgSYYNDQ0NDQ80ASDhoaGhoYHmmC4QDl06BATJ04kMjKS4OBgBg4cyO+//+4+v2vXLm644QYSExMxm820b9+e//73vw3q++eff6ZPnz6YzWbCwsKYNGnSWXqK84uz+c4BbDYb3bp1QxAEdu7ceRaeQEPDxQUT+azhyfjx42ndujW//fYbZrOZ//znP4wfP54jR44QGxvLtm3biI6OZu7cuSQmJrJhwwbuuusuJEnivvvu89nvt99+y5133slrr73G8OHDcTqd7N279y98snOXs/XOq3jiiSeIj49n165df8HTaFzUqBoXHDk5OSqgrlmzxn2suLhYBdTly5f7vO7ee+9Vhw0b5vO8w+FQExIS1E8++eSMjvdC4Gy98yqWLFmitmvXTt23b58KqDt27DgTw9bQ8IqmSroAiYiIoG3btnzxxReUlZXhdDr58MMPiY6OpmfPnj6vKyoqIjw83Of57du3c+rUKURRpHv37sTFxTF27Fhtx8DZe+cAWVlZ3HnnnXz55ZdYLJYzPXQNjbr83ZJJ4+xw8uRJtWfPnqogCKokSWpcXJy6fft2n+3Xr1+v6nQ69ddff/XZ5quvvlIBtWnTpurChQvVrVu3qjfccIMaERGh5uXlnY3HOK84G+9cURR1zJgx6ssvv6yqqqoeO3ZM2zFonHW0HcN5xFNPPYUgCH5/Dh48iKqqTJ06lejoaNauXcvmzZuZNGkSl19+ORkZGXX63bt3LxMnTuSFF15g1KhRPu+vKAoAzzzzDFdddRU9e/bk008/RRAEFixYcNae++/k737n7777LiUlJUybNu1sPqaGhgdaSozziJycHPLy8vy2adGiBWvXrmXUqFEUFBR4pHdu3bo1U6ZM4amnnnIf279/P8OGDeOOO+7g1Vdf9dv377//zvDhw1m7di0DBw50H+/Tpw8jR46s9/rzkb/7nU+aNIkff/zRo8aILMtIksRNN93E559/fppPpqHhG80r6TwiKiqKqKioetuVl5cD1CneIoqie9UPsG/fPoYPH84tt9zSoEm9Z8+eGI1GkpOT3YLB4XCQmppKUlJSYx7lvOHvfufvvPMOr7zyivtzeno6o0ePZv78+fTp06ehj6Gh0Tj+Xk2WxtkgJydHjYiIUK+88kp1586danJysvrYY4+per1e3blzp6qqqrpnzx41KipKvfnmm9WMjAz3T3Z2trufTZs2qW3btlXT0tLcxx588EE1ISFB/fXXX9WDBw+qU6ZMUaOjo9X8/Py//DnPJc7mO6+JZmPQ+CvQBMMFypYtW9RRo0ap4eHhalBQkNq3b191yZIl7vMvvPCCCtT5SUpKcrf5/fffVUA9duyY+5jdblcfffRRNTo6Wg0KClJHjhyp7t279y98snOXs/XOa6IJBo2/As3GoKGhoaHhgeaVpKGhoaHhgSYYNDQ0NDQ80ASDhoaGhoYHmmDQ0NDQ0PBAEwwaGhoaGh5ogkFDQ0NDwwNNMGhoaGhoeKAJBg0NDQ0NDzTBoKGhoaHhgSYYNDQ0NDQ80ASDhoaGhoYHmmDQ0NDQ0PDg/wE3KuCepKVlvwAAAABJRU5ErkJggg==", + "image/png": 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"text/plain": [ "
" ] @@ -1315,7 +1393,14 @@ { "cell_type": "code", "execution_count": 23, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:01:42.195978Z", + "iopub.status.busy": "2024-08-16T21:01:42.195688Z", + "iopub.status.idle": "2024-08-16T21:01:42.198286Z", + "shell.execute_reply": "2024-08-16T21:01:42.197807Z" + } + }, "outputs": [], "source": [ "# See Documentation\n", @@ -1334,6 +1419,12 @@ "cell_type": "code", "execution_count": 24, "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:01:42.200287Z", + "iopub.status.busy": "2024-08-16T21:01:42.200114Z", + "iopub.status.idle": "2024-08-16T21:01:49.532503Z", + "shell.execute_reply": "2024-08-16T21:01:49.531867Z" + }, "scrolled": true }, "outputs": [ @@ -1341,10 +1432,8 @@ "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\wq_data.py:329: UserWarning: WARNING: 'None' UNDEFINED UNIT for Secchi\n", - " warn(\"WARNING: \" + problem)\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'None' UNDEFINED UNIT for Secchi\n", + " warn(\"WARNING: \" + problem)\n" ] }, { @@ -1352,23 +1441,23 @@ "output_type": "stream", "text": [ "-Usable results-\n", - "count 84993.000000\n", - "mean 1.470571\n", - "std 0.902863\n", + "count 86883.000000\n", + "mean 1.470456\n", + "std 0.901391\n", "min -9.000000\n", "25% 0.900000\n", "50% 1.300000\n", "75% 1.900000\n", "max 32.004000\n", "dtype: float64\n", - "Unusable results: 196\n", + "Unusable results: 219\n", "Usable results with inferred units: 0\n", - "Results outside threshold (0.0 to 6.887748058561893): 47\n" + "Results outside threshold (0.0 to 6.878799412896899): 47\n" ] }, { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -1395,7 +1484,14 @@ { "cell_type": "code", "execution_count": 25, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:01:49.534726Z", + "iopub.status.busy": "2024-08-16T21:01:49.534534Z", + "iopub.status.idle": "2024-08-16T21:01:49.711058Z", + "shell.execute_reply": "2024-08-16T21:01:49.710447Z" + } + }, "outputs": [ { "data": { @@ -1482,16 +1578,16 @@ " ...\n", " \n", " \n", - " 1443210\n", + " 1465327\n", " 21FLBSG-4\n", - " 1.0\n", + " 1\n", " m\n", " NaN\n", " m\n", " 1.0 meter\n", " \n", " \n", - " 1443211\n", + " 1465328\n", " 21FLBSG-4\n", " 1.1\n", " m\n", @@ -1500,7 +1596,7 @@ " 1.1 meter\n", " \n", " \n", - " 1443212\n", + " 1465329\n", " 21FLBSG-4\n", " 1.5\n", " m\n", @@ -1509,7 +1605,7 @@ " 1.5 meter\n", " \n", " \n", - " 1443213\n", + " 1465330\n", " 21FLBSG-4\n", " 1.4\n", " m\n", @@ -1518,7 +1614,7 @@ " 1.4 meter\n", " \n", " \n", - " 1443214\n", + " 1465331\n", " 21FLBSG-4\n", " 1.4\n", " m\n", @@ -1528,7 +1624,7 @@ " \n", " \n", "\n", - "

85189 rows × 6 columns

\n", + "

87102 rows × 6 columns

\n", "" ], "text/plain": [ @@ -1539,11 +1635,11 @@ "130 21FLHILL_WQX-14434 1.30 \n", "132 21FLCOSP_WQX-COSPE6-4 2.6 \n", "... ... ... \n", - "1443210 21FLBSG-4 1.0 \n", - "1443211 21FLBSG-4 1.1 \n", - "1443212 21FLBSG-4 1.5 \n", - "1443213 21FLBSG-4 1.4 \n", - "1443214 21FLBSG-4 1.4 \n", + "1465327 21FLBSG-4 1 \n", + "1465328 21FLBSG-4 1.1 \n", + "1465329 21FLBSG-4 1.5 \n", + "1465330 21FLBSG-4 1.4 \n", + "1465331 21FLBSG-4 1.4 \n", "\n", " ResultMeasure/MeasureUnitCode QA_flag Units Secchi \n", "78 m NaN m 0.6 meter \n", @@ -1552,13 +1648,13 @@ "130 m NaN m 1.3 meter \n", "132 m NaN m 2.6 meter \n", "... ... ... ... ... \n", - "1443210 m NaN m 1.0 meter \n", - "1443211 m NaN m 1.1 meter \n", - "1443212 m NaN m 1.5 meter \n", - "1443213 m NaN m 1.4 meter \n", - "1443214 m NaN m 1.4 meter \n", + "1465327 m NaN m 1.0 meter \n", + "1465328 m NaN m 1.1 meter \n", + "1465329 m NaN m 1.5 meter \n", + "1465330 m NaN m 1.4 meter \n", + "1465331 m NaN m 1.4 meter \n", "\n", - "[85189 rows x 6 columns]" + "[87102 rows x 6 columns]" ] }, "execution_count": 25, @@ -1576,7 +1672,14 @@ { "cell_type": "code", "execution_count": 26, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:01:49.713464Z", + "iopub.status.busy": "2024-08-16T21:01:49.713099Z", + "iopub.status.idle": "2024-08-16T21:01:49.756493Z", + "shell.execute_reply": "2024-08-16T21:01:49.755895Z" + } + }, "outputs": [ { "data": { @@ -1609,7 +1712,7 @@ " \n", " \n", " \n", - " 734762\n", + " 734813\n", " 21FLPDEM_WQX-14-02\n", " Not Reported\n", " m\n", @@ -1618,8 +1721,8 @@ " NaN\n", " \n", " \n", - " 738008\n", - " 21FLKWAT_WQX-PIN-COFFEEPOBAYOU-5\n", + " 739867\n", + " 21FLKWAT_WQX-HIL-RAINBOW-1\n", " Not Reported\n", " NaN\n", " ResultMeasureValue: \"Not Reported\" result cann...\n", @@ -1627,8 +1730,8 @@ " NaN\n", " \n", " \n", - " 741123\n", - " 21FLKWAT_WQX-PIN-COFFEEPOBAYOU-1\n", + " 742849\n", + " 21FLKWAT_WQX-PIN-COFFEEPOBAYOU-8\n", " Not Reported\n", " NaN\n", " ResultMeasureValue: \"Not Reported\" result cann...\n", @@ -1636,8 +1739,8 @@ " NaN\n", " \n", " \n", - " 741924\n", - " 21FLKWAT_WQX-PIN-COFFEEPOBAYOU-7\n", + " 744820\n", + " 21FLKWAT_WQX-PIN-COFFEEPOBAYOU-6\n", " Not Reported\n", " NaN\n", " ResultMeasureValue: \"Not Reported\" result cann...\n", @@ -1645,7 +1748,7 @@ " NaN\n", " \n", " \n", - " 746331\n", + " 746568\n", " 21FLPDEM_WQX-E2-D-19-02\n", " Not Reported\n", " m\n", @@ -1663,96 +1766,96 @@ " ...\n", " \n", " \n", - " 1413747\n", - " USGS-275530082383300\n", - " NaN\n", + " 1461147\n", + " 21FLKWAT_WQX-HIL-CHURCH-1\n", + " Not Reported\n", " NaN\n", - " ResultMeasureValue: missing (NaN) result; Resu...\n", + " ResultMeasureValue: \"Not Reported\" result cann...\n", " m\n", " NaN\n", " \n", " \n", - " 1413767\n", - " USGS-275100082280500\n", - " NaN\n", + " 1461471\n", + " 21FLKWAT_WQX-HIL-ARMISTEAD-3\n", + " Not Reported\n", " NaN\n", - " ResultMeasureValue: missing (NaN) result; Resu...\n", + " ResultMeasureValue: \"Not Reported\" result cann...\n", " m\n", " NaN\n", " \n", " \n", - " 1413775\n", - " USGS-275530082383300\n", - " NaN\n", + " 1462287\n", + " 21FLKWAT_WQX-HIL-CHURCH-3\n", + " Not Reported\n", " NaN\n", - " ResultMeasureValue: missing (NaN) result; Resu...\n", + " ResultMeasureValue: \"Not Reported\" result cann...\n", " m\n", " NaN\n", " \n", " \n", - " 1413887\n", - " USGS-275530082383300\n", - " NaN\n", + " 1462862\n", + " 21FLKWAT_WQX-HIL-ARMISTEAD-1\n", + " Not Reported\n", " NaN\n", - " ResultMeasureValue: missing (NaN) result; Resu...\n", + " ResultMeasureValue: \"Not Reported\" result cann...\n", " m\n", " NaN\n", " \n", " \n", - " 1418065\n", - " USGS-02306000\n", - " NaN\n", + " 1462933\n", + " 21FLKWAT_WQX-HIL-ARMISTEAD-2\n", + " Not Reported\n", " NaN\n", - " ResultMeasureValue: missing (NaN) result; Resu...\n", + " ResultMeasureValue: \"Not Reported\" result cann...\n", " m\n", " NaN\n", " \n", " \n", "\n", - "

196 rows × 6 columns

\n", + "

219 rows × 6 columns

\n", "" ], "text/plain": [ " MonitoringLocationIdentifier ResultMeasureValue \\\n", - "734762 21FLPDEM_WQX-14-02 Not Reported \n", - "738008 21FLKWAT_WQX-PIN-COFFEEPOBAYOU-5 Not Reported \n", - "741123 21FLKWAT_WQX-PIN-COFFEEPOBAYOU-1 Not Reported \n", - "741924 21FLKWAT_WQX-PIN-COFFEEPOBAYOU-7 Not Reported \n", - "746331 21FLPDEM_WQX-E2-D-19-02 Not Reported \n", + "734813 21FLPDEM_WQX-14-02 Not Reported \n", + "739867 21FLKWAT_WQX-HIL-RAINBOW-1 Not Reported \n", + "742849 21FLKWAT_WQX-PIN-COFFEEPOBAYOU-8 Not Reported \n", + "744820 21FLKWAT_WQX-PIN-COFFEEPOBAYOU-6 Not Reported \n", + "746568 21FLPDEM_WQX-E2-D-19-02 Not Reported \n", "... ... ... \n", - "1413747 USGS-275530082383300 NaN \n", - "1413767 USGS-275100082280500 NaN \n", - "1413775 USGS-275530082383300 NaN \n", - "1413887 USGS-275530082383300 NaN \n", - "1418065 USGS-02306000 NaN \n", + "1461147 21FLKWAT_WQX-HIL-CHURCH-1 Not Reported \n", + "1461471 21FLKWAT_WQX-HIL-ARMISTEAD-3 Not Reported \n", + "1462287 21FLKWAT_WQX-HIL-CHURCH-3 Not Reported \n", + "1462862 21FLKWAT_WQX-HIL-ARMISTEAD-1 Not Reported \n", + "1462933 21FLKWAT_WQX-HIL-ARMISTEAD-2 Not Reported \n", "\n", " ResultMeasure/MeasureUnitCode \\\n", - "734762 m \n", - "738008 NaN \n", - "741123 NaN \n", - "741924 NaN \n", - "746331 m \n", + "734813 m \n", + "739867 NaN \n", + "742849 NaN \n", + "744820 NaN \n", + "746568 m \n", "... ... \n", - "1413747 NaN \n", - "1413767 NaN \n", - "1413775 NaN \n", - "1413887 NaN \n", - "1418065 NaN \n", + "1461147 NaN \n", + "1461471 NaN \n", + "1462287 NaN \n", + "1462862 NaN \n", + "1462933 NaN \n", "\n", " QA_flag Units Secchi \n", - "734762 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", - "738008 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", - "741123 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", - "741924 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", - "746331 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "734813 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "739867 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "742849 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "744820 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "746568 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", "... ... ... ... \n", - "1413747 ResultMeasureValue: missing (NaN) result; Resu... m NaN \n", - "1413767 ResultMeasureValue: missing (NaN) result; Resu... m NaN \n", - "1413775 ResultMeasureValue: missing (NaN) result; Resu... m NaN \n", - "1413887 ResultMeasureValue: missing (NaN) result; Resu... m NaN \n", - "1418065 ResultMeasureValue: missing (NaN) result; Resu... m NaN \n", + "1461147 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "1461471 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "1462287 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "1462862 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "1462933 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", "\n", - "[196 rows x 6 columns]" + "[219 rows x 6 columns]" ] }, "execution_count": 26, @@ -1768,7 +1871,14 @@ { "cell_type": "code", "execution_count": 27, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:01:49.758700Z", + "iopub.status.busy": "2024-08-16T21:01:49.758361Z", + "iopub.status.idle": "2024-08-16T21:01:49.797497Z", + "shell.execute_reply": "2024-08-16T21:01:49.796890Z" + } + }, "outputs": [ { "data": { @@ -1789,7 +1899,14 @@ { "cell_type": "code", "execution_count": 28, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:01:49.799726Z", + "iopub.status.busy": "2024-08-16T21:01:49.799390Z", + "iopub.status.idle": "2024-08-16T21:01:49.839462Z", + "shell.execute_reply": "2024-08-16T21:01:49.838827Z" + } + }, "outputs": [ { "data": { @@ -1822,7 +1939,7 @@ " \n", " \n", " \n", - " 244364\n", + " 244360\n", " NARS_WQX-NCCA10-1674\n", " -9\n", " None\n", @@ -1831,7 +1948,7 @@ " -9.0 meter\n", " \n", " \n", - " 734762\n", + " 734813\n", " 21FLPDEM_WQX-14-02\n", " Not Reported\n", " m\n", @@ -1840,8 +1957,8 @@ " NaN\n", " \n", " \n", - " 738008\n", - " 21FLKWAT_WQX-PIN-COFFEEPOBAYOU-5\n", + " 739867\n", + " 21FLKWAT_WQX-HIL-RAINBOW-1\n", " Not Reported\n", " NaN\n", " ResultMeasureValue: \"Not Reported\" result cann...\n", @@ -1849,8 +1966,8 @@ " NaN\n", " \n", " \n", - " 741123\n", - " 21FLKWAT_WQX-PIN-COFFEEPOBAYOU-1\n", + " 742849\n", + " 21FLKWAT_WQX-PIN-COFFEEPOBAYOU-8\n", " Not Reported\n", " NaN\n", " ResultMeasureValue: \"Not Reported\" result cann...\n", @@ -1858,8 +1975,8 @@ " NaN\n", " \n", " \n", - " 741924\n", - " 21FLKWAT_WQX-PIN-COFFEEPOBAYOU-7\n", + " 744820\n", + " 21FLKWAT_WQX-PIN-COFFEEPOBAYOU-6\n", " Not Reported\n", " NaN\n", " ResultMeasureValue: \"Not Reported\" result cann...\n", @@ -1876,96 +1993,96 @@ " ...\n", " \n", " \n", - " 1413747\n", - " USGS-275530082383300\n", - " NaN\n", + " 1461147\n", + " 21FLKWAT_WQX-HIL-CHURCH-1\n", + " Not Reported\n", " NaN\n", - " ResultMeasureValue: missing (NaN) result; Resu...\n", + " ResultMeasureValue: \"Not Reported\" result cann...\n", " m\n", " NaN\n", " \n", " \n", - " 1413767\n", - " USGS-275100082280500\n", - " NaN\n", + " 1461471\n", + " 21FLKWAT_WQX-HIL-ARMISTEAD-3\n", + " Not Reported\n", " NaN\n", - " ResultMeasureValue: missing (NaN) result; Resu...\n", + " ResultMeasureValue: \"Not Reported\" result cann...\n", " m\n", " NaN\n", " \n", " \n", - " 1413775\n", - " USGS-275530082383300\n", - " NaN\n", + " 1462287\n", + " 21FLKWAT_WQX-HIL-CHURCH-3\n", + " Not Reported\n", " NaN\n", - " ResultMeasureValue: missing (NaN) result; Resu...\n", + " ResultMeasureValue: \"Not Reported\" result cann...\n", " m\n", " NaN\n", " \n", " \n", - " 1413887\n", - " USGS-275530082383300\n", - " NaN\n", + " 1462862\n", + " 21FLKWAT_WQX-HIL-ARMISTEAD-1\n", + " Not Reported\n", " NaN\n", - " ResultMeasureValue: missing (NaN) result; Resu...\n", + " ResultMeasureValue: \"Not Reported\" result cann...\n", " m\n", " NaN\n", " \n", " \n", - " 1418065\n", - " USGS-02306000\n", - " NaN\n", + " 1462933\n", + " 21FLKWAT_WQX-HIL-ARMISTEAD-2\n", + " Not Reported\n", " NaN\n", - " ResultMeasureValue: missing (NaN) result; Resu...\n", + " ResultMeasureValue: \"Not Reported\" result cann...\n", " m\n", " NaN\n", " \n", " \n", "\n", - "

197 rows × 6 columns

\n", + "

220 rows × 6 columns

\n", "" ], "text/plain": [ " MonitoringLocationIdentifier ResultMeasureValue \\\n", - "244364 NARS_WQX-NCCA10-1674 -9 \n", - "734762 21FLPDEM_WQX-14-02 Not Reported \n", - "738008 21FLKWAT_WQX-PIN-COFFEEPOBAYOU-5 Not Reported \n", - "741123 21FLKWAT_WQX-PIN-COFFEEPOBAYOU-1 Not Reported \n", - "741924 21FLKWAT_WQX-PIN-COFFEEPOBAYOU-7 Not Reported \n", + "244360 NARS_WQX-NCCA10-1674 -9 \n", + "734813 21FLPDEM_WQX-14-02 Not Reported \n", + "739867 21FLKWAT_WQX-HIL-RAINBOW-1 Not Reported \n", + "742849 21FLKWAT_WQX-PIN-COFFEEPOBAYOU-8 Not Reported \n", + "744820 21FLKWAT_WQX-PIN-COFFEEPOBAYOU-6 Not Reported \n", "... ... ... \n", - "1413747 USGS-275530082383300 NaN \n", - "1413767 USGS-275100082280500 NaN \n", - "1413775 USGS-275530082383300 NaN \n", - "1413887 USGS-275530082383300 NaN \n", - "1418065 USGS-02306000 NaN \n", + "1461147 21FLKWAT_WQX-HIL-CHURCH-1 Not Reported \n", + "1461471 21FLKWAT_WQX-HIL-ARMISTEAD-3 Not Reported \n", + "1462287 21FLKWAT_WQX-HIL-CHURCH-3 Not Reported \n", + "1462862 21FLKWAT_WQX-HIL-ARMISTEAD-1 Not Reported \n", + "1462933 21FLKWAT_WQX-HIL-ARMISTEAD-2 Not Reported \n", "\n", " ResultMeasure/MeasureUnitCode \\\n", - "244364 None \n", - "734762 m \n", - "738008 NaN \n", - "741123 NaN \n", - "741924 NaN \n", + "244360 None \n", + "734813 m \n", + "739867 NaN \n", + "742849 NaN \n", + "744820 NaN \n", "... ... \n", - "1413747 NaN \n", - "1413767 NaN \n", - "1413775 NaN \n", - "1413887 NaN \n", - "1418065 NaN \n", + "1461147 NaN \n", + "1461471 NaN \n", + "1462287 NaN \n", + "1462862 NaN \n", + "1462933 NaN \n", "\n", " QA_flag Units Secchi \n", - "244364 ResultMeasure/MeasureUnitCode: 'None' UNDEFINE... m -9.0 meter \n", - "734762 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", - "738008 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", - "741123 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", - "741924 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "244360 ResultMeasure/MeasureUnitCode: 'None' UNDEFINE... m -9.0 meter \n", + "734813 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "739867 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "742849 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "744820 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", "... ... ... ... \n", - "1413747 ResultMeasureValue: missing (NaN) result; Resu... m NaN \n", - "1413767 ResultMeasureValue: missing (NaN) result; Resu... m NaN \n", - "1413775 ResultMeasureValue: missing (NaN) result; Resu... m NaN \n", - "1413887 ResultMeasureValue: missing (NaN) result; Resu... m NaN \n", - "1418065 ResultMeasureValue: missing (NaN) result; Resu... m NaN \n", + "1461147 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "1461471 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "1462287 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "1462862 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", + "1462933 ResultMeasureValue: \"Not Reported\" result cann... m NaN \n", "\n", - "[197 rows x 6 columns]" + "[220 rows x 6 columns]" ] }, "execution_count": 28, @@ -1988,7 +2105,14 @@ { "cell_type": "code", "execution_count": 29, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:01:49.841593Z", + "iopub.status.busy": "2024-08-16T21:01:49.841408Z", + "iopub.status.idle": "2024-08-16T21:01:49.914506Z", + "shell.execute_reply": "2024-08-16T21:01:49.913955Z" + } + }, "outputs": [ { "data": { @@ -2054,38 +2178,38 @@ " ...\n", " \n", " \n", - " 11261\n", + " 11680\n", " USGS-280630082350900\n", " 3\n", " 1.966667\n", " \n", " \n", - " 11262\n", + " 11681\n", " USGS-280635082322100\n", " 2\n", " 2.100000\n", " \n", " \n", - " 11263\n", + " 11682\n", " USGS-280640082434700\n", " 3\n", " 2.302933\n", " \n", " \n", - " 11264\n", + " 11683\n", " USGS-280719082291400\n", " 2\n", " 1.000000\n", " \n", " \n", - " 11265\n", + " 11684\n", " USGS-280730082431800\n", " 3\n", " 1.947333\n", " \n", " \n", "\n", - "

11266 rows × 3 columns

\n", + "

11685 rows × 3 columns

\n", "" ], "text/plain": [ @@ -2096,13 +2220,13 @@ "3 21FLBRA-1574A-A 2 0.250000\n", "4 21FLBRA-1574A-B 1 1.250000\n", "... ... ... ...\n", - "11261 USGS-280630082350900 3 1.966667\n", - "11262 USGS-280635082322100 2 2.100000\n", - "11263 USGS-280640082434700 3 2.302933\n", - "11264 USGS-280719082291400 2 1.000000\n", - "11265 USGS-280730082431800 3 1.947333\n", + "11680 USGS-280630082350900 3 1.966667\n", + "11681 USGS-280635082322100 2 2.100000\n", + "11682 USGS-280640082434700 3 2.302933\n", + "11683 USGS-280719082291400 2 1.000000\n", + "11684 USGS-280730082431800 3 1.947333\n", "\n", - "[11266 rows x 3 columns]" + "[11685 rows x 3 columns]" ] }, "execution_count": 29, @@ -2118,14 +2242,21 @@ { "cell_type": "code", "execution_count": 30, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:01:49.916543Z", + "iopub.status.busy": "2024-08-16T21:01:49.916364Z", + "iopub.status.idle": "2024-08-16T21:01:50.550721Z", + "shell.execute_reply": "2024-08-16T21:01:50.550191Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\mapclassify\\classifiers.py:257: UserWarning: Not enough unique values in array to form 5 classes. Setting k to 2.\n", - " warnings.warn(\n" + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/mapclassify/classifiers.py:1653: UserWarning: Not enough unique values in array to form 5 classes. Setting k to 2.\n", + " self.bins = quantile(y, k=k)\n" ] }, { @@ -2140,7 +2271,7 @@ }, { "data": { - "image/png": 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", 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4hOR8HacgSNZBUlpOU5ZeVQmPSjB7TiAoKjgk7rt27WLkyJEcOHCALVu2kJaWRpcuXUhIyCgnN2TIEM6fP8+aNWs4deoU/fv3Z8CAARw7dsxiv8uXL+ftt99m8uTJHD16lAYNGtC1a1ciIiJy/84eEC5au+t55Irrt6Pypd+4hGQm/bCG8o+Np9Lj7xPUZiw9RvzA7sMX8mW8/CZVlxE3kB1JkvD39UJVVc5diRR59AVFkjzllomMjCQoKIhdu3bRrl07ALy9vZk9ezaDBw82tStZsiQzZszg5ZdfNttP8+bNadq0KTNnzgRAURTKly/PG2+8wfjx4+2aS2HKr5FfYqGqKmu2H2dAl0ZO9ZiJjU+i80vfcubSbfSZsqHJkoSiqiyc+gLPdG/qvAELgGSdgj1rF1VVuXIzkirlA3HXPpybJoXpuy8oPOTJ5h4TEwNAQECA6VirVq1Yvnw5UVFRKIrCsmXLSE5OpkOHDmb7SE1N5ciRIzz++OMZk5JlHn/8cfbv329x7JSUFGJjY7O8CgP5uQqUJInywQFOD2T6fP7mHMIOmCpODX1/Ea9NWUJYZIyTR84/VNV+oa5QthSKoor4AUGRItfirigKo0ePpnXr1tStW9d0/PfffyctLY2SJUvi5ubG8OHDWbVqFdWqVTPbz927d9Hr9ZQuXTrL8dKlSxMeHm5x/GnTpuHn52d6lS9fPrdvxWkURGKvBo+UN5l9YuOT+O9yGIlJqbnuLy1Nz/yVe3IIe3YW/rWfls/O4HpY/piFHhSSJKHVyFy/HcW9uId/n0EgMJJrcR85ciSnT59m2bJlWY5PnDiR6Ohotm7dyuHDh3n77bcZMGAAp06dyvNkMzNhwgRiYmJMrxs3bji1/9yQ3/tzBhsybNl3hlq9JlO67TgaPfkZJVu9TeMnP+XQ6asO9xlxP47ouCT72kbF8ubUZbYbPoQoqoKXh9uDnoZA4DTsSFqbk1GjRrFu3Tp2795NSEiI6XhoaCgzZ87k9OnT1KlTB4AGDRrwzz//MGvWLObMmZOjr1KlSqHRaLhz506W43fu3KFMmTIW5+Dm5oabW+H5Y8zPR3pFUZBlGUmSSNPpeWLU7Bxtzl0Op/2Qr9g8703aNLFe6Skznu6udrdVVdi85yzXw6KoEBxg+4IHiLm8+NbI7wA0gaCgcWjlrqoqo0aNYtWqVWzfvp3KlStnOZ+YmGjoNFv+co1Gg2KhMKirqytNmjRh27ZtpmOKorBt2zZatmzpyPQeCIoKaXpIyUeTTObPMyo6wWI7VVV55p2fHOq7hK8nrRtVtXuDVgX+u2zZXFZYcNPIdkf0KopCpXKl8nlGAkHB4pC4jxw5ksWLF7N06VJ8fHwIDw8nPDycpCTDY33NmjWpVq0aw4cP5+DBg4SGhvLVV1+xZcsW+vbta+qnU6dOJs8YgLfffpt58+axaNEizp07x2uvvUZCQgLDhg1zzrvMBxQFUnQQeiuK5RsP8cffh7kZfj9fxgq9bnAJVVWVXYfPW20bFZPA3mOXHOp/wqvdHHry8HCzf0X8oHB30xB2N8amwKuqyo2wKLFyFxQ5HDLLzJ5tMAdk93z5+eefGTp0KC4uLmzYsIHx48fTu3dv4uPjqVatGosWLaJHjx6m9qGhody9e9f08zPPPENkZCSTJk0iPDychg0bsmnTphybrIUBVYVbEbF8OncdS9YcQKfP+kTS+7EGfP/BIPx9PZ00nkr5TCYQH0/bpqid/16gdSPzG9jm6NSiFlNG9mLyrHU22/p5u9OsfiW7+36Q+Hm5pd+0DAKfXcBVVeVWeBQV01fthhuBEHlB0cAhcbfnMbd69eo2I1KvXr2a49ioUaMYNWqUI9N5IGw/eJEnXv/eonfJ2u0nuHbrHn/Pfwd3J6xwJUnC1cXwa4qNT6Jr23o2r/H1cXd4nFpVy9rVrmm9Sg7Zsh8Ut+7GERObSJUKHqZjiqKgqqBXFKJiEggs4UNIcEkgvX5taiqero5/dgJBYUTklnGAW3di6PPadzbdBk+ev8mfm484dez7sQm4ubqgkWWrZhFJgmH9Wjnc//pdJ+1q5+aSdT1w4vxNfvpjDwtX7ePa7XsOj5sfhN9LIMDPm1Rd1qcqWZbRaGRcXbSUKeWHJlsZLX9vIeyCokOuvGWKI4oCr0z+FRu6bmLRX3t5rncLp41/9Mw1OrWsjV6vkJSSZrFdtzZ18PZ0XKRS0uyLvpLTBfHqrbu8MGEhB09dNZ2TJOjbqSFzJg/C19vDQg/5j4+3O5IkUdLfy2IKgsyoqkpSUhIeLs4xpQkEhQGxcrcDVYWYxFT+cSDPinETNO9jqxw7e82UyEtGpUqIec+OJnUq8se3w3M1Til/b7vaubloGPXpb9Tr+3EWYTfMFdZsP8ETo/6HTvdgir2GRyWYvIsCA3y5HnbPojlRVVVUVSXybjQBTtojEQgKC2LlbgcqcCM8KsfmqTWcaZe+HRFN03oGt1N3Vw1n1n7E2p0n+WL+ZqJiEwgu5cfk13ty9nIYNXtOJuxuDBpJpkmdinw+7kma1K5gc4xYO7NA/rH5GJJk2a9fr6gcOHGFjf+coXfH+na/R2dw8NQ16tWskGWlHuDnTUqqzuL+x8Wr4dSvHlxQUxQICgwh7nagqODuoFi3e7SGU8aWJImubeqi1WZNJty7Q316d8gQz07DvmHf8VDTzzoU9h0Ppc2gz/lm/ABGPNPO6jiRUfF2z8nWvrpGlliy7t8CF/fswg7g42UwUd2PScDX2wNNuv97ZFQc92MTaCCEXVBEEWYZOykfHEC1CkF2t58+9imnjZ1Z2PVmhPWD7/7KIuzZGTP9d8Iio62OERhgn1nGHvSKSsS9OKf1Zw9Hz920er6EnxeKqnIj7B4xcUkEBvjwSCXLEdACwcOOEHc7kNPro457ubtd7V/o1wo/n/yx4ZqzDM1b8Y/N6977apXV88/2cF5KX61GplK5kk7rzx4eqRJsc+PURauhfHBJ/Hw8uBcVhbuoiygowghxtwNZMoS2DOj+KJNG9rHa9vk+Lfn2/efybS7ZF+46nY64BNul9/ZbWdkDtG9agw5NnWNK0ukVXuhbsKkjsqe8sEWpgBL5NBOBoHAgbO524qqBVL3EmKFd6N+5MYvXHODAiVAu34jE29ONdk1r8P6IXpTw9TJ7fWRULFdv3cXX25OqFQLR5nfBVQeRJIk/vhvOyI+XsnxT3nz0JQnaNK7qpJk5H0mSUOz1aS1C6PV60tIsu9EKCjcuLi5oHNANIe52IkkGgVdUqFSuFB+81guAW3ei2L7vHN071Mffx9Pkdmc0Eej0erQaDYEBvgQG+BIdm8jlG5HUqFTGLh9sW2i1Wrw93YhPtL56b9GgitXzqgqe7m78PHUYbw3pRKvnPs/1nFQVzl0Jp261crnuw/ExHfssJUniVkQMgQF+uBbxvwJVVQkPDyc6OvpBT0WQR/z9/SlTpoxd3/Ui/rV2HooCaYrB5HDuchjBgf6U9PeiXOkAnu/byuKHrclmLvD19sDf15OFf+5hiJXrLGGu9StPt+GbRdvMnMlg+tv9zB5XVcMNS6dkmHwi7tuX390aKakF6+euS03Bxc3d7s9TkiQCSviSptdzOzKOMoF+D22ZPVsYhT0oKAhPT0+RJO0hRFVVEhMTTXWlg4Nte3kJcTeDqhq8UvRKVhv3udAwygX5Ubd61hWppT8Wc6tJWTaYBB5vVZsfl+9ixLMdHZqbxoxpeerofuw/fpkDJ66Yvebr956mXGnzNmadktMDp3SpvNXhlGWJBjXsy1XjLHy9PUhysFqKJEnIskzpUn7o9QrJKri7FC5zWV7R6/UmYS9ZsmA3uQXOxcPDEPUdERFBUFCQTRON2FDNRnKKnqj4FNL0qqmGKBiKP9SqGoyPA2H1lkRfliVCygSw79gl9A4ERgFoLCy6dix8h6/fe5qQ0v5oNTKuLhpaNqzC7l/H8trA9mavUVTzrpU1qwSb/MNzQ+eWtdBqC37dIEmq3TncM66RkCQJjUaDzrFfxUOB0cbu6SkicIsCxt+jPXsnYuWeiZ2HLtG0fmWz5dZc0n3NnflIq9VquHjtDjWr2BdIc+zsVc5dusXzvZrjasZQ/NrA9haF3BzW7ivvvdKdD7+17j5pDj9vD36Z/mDy8LtrZZJ15Nj3sBeNLBOfkIx3Hm5shRVhiikaOPJ7FCv3dM5djaB5w6oWH3Xy448jPDLGrpQGqqqSptPTaehXjPzkN0q0GMOwDxZy5MxV5q34h/CI3BWttuYwMnJQJ0Y9/5jZcxWCA1j+1cv4++Z8iomJT6LniJlExyXmak55xV0LHi6Sxcpf1pAkCbSFP53xg0JN35sxvvKztKQg74iVO4aKSpXKBTpVwK15b6iqys079+nati51qtm2TauqSo9XvzGtSP18PVi24TDLNhwG4M2phieLr959ileebmv3HCVy+s1n5pO3+jP6hS5Mnb2Gs6FheHu6M3rwY3RqWYtPZq9Hp9MzrH8b+nRqiI+XB2cu3mLhqj0cO3eDlyf+muskZs7AmGbA8Q3rB7PCvXzjLt4+ntyLNqSB0EgQGR3Huh2niYpOwNPTleFPtaVmlYIvYGPccM++GNBhiAHRyoZ/BYWLYi/uxuINjgbB2MKaqEiShL+PJ288/7hd4nPgWCiH0zMwlvD15H5MzlVxmk7Pm1OXk5icyluDO9k1R1k2eAFZI6iEN7MmZg3KSkpOZe3Okxz4fSJlg/xRVRVZlqn/SAhD+rbi20WbmTJzDaHXI6laIdCuuTgbd63Enag4fH28HRR4+5ejqmporSqY3JgkDJ+r5WtU0+elqnDqwm0qhJTC398HD3dXUtP0uGplvvp5M79vPEz43RjTTfjnlXvo81hDfpoyGFfXgtn41ad7iVlCUSFVDy6y+c3+gubMmTNMmjSJI0eOcO3aNb755htGjx5dIGP/+eefzJkzhyNHjhAVFcWxY8do2LBhgYxtjkLw63iw6PQFb49UVRVPD1dkO5Y7qqrSsnE1nuvVHID7sdbNHRO++cvueWgk20XlzP3BHvvvBgumvUTpkr4mjxPI2JcY/UIXBvZsxrYD/9k9l/ygdIAPtyKirKYfNoqt8f9hEbbr4BoFLSwqnk/nbGDoBz/z/HsL+H7JDu7FJ5Oqz3rTvHM3mjm/76bj0K/xefQtvJq8SZOnPuOj2euoXCEQrUaLRiOj0+sJ8PPi21+3MWvpDu7cizXMK72flFQdKzYdZtjERbn+TBxBUa0Le2bSzKzsHwSJiYlUqVKF6dOnU6ZMweYOSkhIoE2bNsyYMaNAx7VEsV+56yl4cZckCY0D/tiqqjJr8mD+OXKRG2HW7euqqvLb+n95tmdzO/oGFw2k6c2vV1015h+3vT3drSZR0ysKbw3uzL6j1ot5FwTVypUkJjGNO+ExlC1dwuzvOvMxPxt53Y3CvnzDQcbOWJ4leOyvrUf58Ns/GT2kMx++3ouE6DjC7iWweM2/fL94m8kNFuDc5XDOhoZxPjScn6e/BJKMVqPh+NmrbN17NstNJzurtx3nv6uR1KyUv09FjnoP6RTDd+ZB0rRpU5o2NeRJGj9+fIGOPXjwYMB8GdEHQbFeuT8sG0JG8bl33760vL+s+dfuvuX0yFsX2bCS10iG/7tZEHaAKuWDSEuzvBrWyDI1qwbToqH1qNiCws/ThcVr9xN6LYLExBT0er1pw/X0xVt8/+tWvv75b+b/sQsvD3dWbTthsS+dHjbvPc1rk38xGxWsKCpfL9zMhdDb7D91g0OnrjJz6XbTOSNG4V69/Tjzlu9Cq9Fw7OxVdh++yKkLN62mR1AUlZlLtufqs7AXY3CbIyjqw/M3VRwQ4v4QodXa9+sK8DOf3yYzqprxkiSD+cVFY3hpZMMxS7i5uiDZMZWGj5S3a74FQa/2DZizbCd37sWi0yvci46nz4jvaDdoOlNmrmbqnHWM+/wPmj71CV6e7ly8HpmjD1WFb3/ZwjOj51i0zGtkiZXfv87Wf/+jVpVgttowTcmyxO+bDgGGJ6LEJNtJ4DQamdj4vEcRW8Nc/IM9FAbTjMBAsRb3/ODgycsOB9LYy/N97Mu0OGfSMxbP6RWDd1CKPuPlqFubLIFWoyEqJt6syCiKik6nL1S+1Y9UCaZlo6p8s2gzf24+Su8R37Pv2CXAMF9j0fNrt+7xwvj57DuWM4vmh9+vZvIPq62Os/p/o2jTpDoBfj7sP3GZW+H3ba7CT124xb3oeFTAx8fD6o0VDFGnQSV9rDd6QAhtLzwIcXci12/f41xoWJbIVmfy2Zgnbf7hBwb44OVlvvCGLt3zIUfaYMVgR7Zn2jqdjpc+WEhQy7eo+vh4KnYcR8UOY5k2d72pjSQZygEWIm1Ho5Hp36UJA3s159i5a5y/Em4S9MzoFYXY+CTW7zqV5fila3f4euGWLMe8Pd3o17kxw/q3oWPzmnh5uHI3OhEXFy1pOh0pKTo8PVxt3uRcXTQkJKVSsWxJ2jSqRtN6ldFYcT1xc9Hy9gtdHHj3BUch+pUXe4r1hqosA04MOf919X78fNxRFDXf3MK2LRzLYy98afacl4crF/6eZnZjyxiAYgkVw6O4tdxZOp2OOn2mcD0sq0dJbEIyn/+0kVMXbrD0qxFoJMlimoTsKIpCXEIKHu4uuLrk39fRw0UiKU2lZYOqzPo16+Zmzjmp7D16CSWTi+wL7y/M0uaNwY8z7qVu+Hi5m/zpI6NiuXbrLgDeHm74+XpQ/5EQdh60vLGs0ch0bF6T0iV9kCQ4ePIqj7eszZmLt0hOSTN7AxrUpyVlA/N35a6RDH7sjiL83QsPxXrlrndy4sLzV8L4a8sxk0tgftCodiXuH5rJ4y1r4eqiQSNLeLq78sGIXtzc/TVgfmPLHhuqTlGJjU8iNc38n/U7X6zMIeyZ2bj7NNv2ncZFY91mDxAVHc+gd+dTosUYyrQbh1+z0fQY/j1HzlyzPdFc4uEikZamIyomwWY+98TkVBKTU00/Hz17w/R/Px8Pfvh1KxU7jKXdoOns/NdgVy/p703juoZC5odOX6Fp3cp0almbkv5eVgPaRgzsgItWwz+HLjKkXyuSU9MY/UIX6mRLUFemlB8jnu3AzA8sm92chSQ5LtSGimX5Mx97SU1N5fjx4xw/fpzU1FRu3brF8ePHuXTpUr6PHRUVxfHjxzl79iwA58+f5/jx44SHh+f72OaQ1PwyEBcwsbGx+Pn5ERMTg6+vfVkNU3VOXbgzYvIv/PH3Yc6s/4SgAN8HanN2yyawqXr7NrvKtB5Nmk5Pr/b1ePelrjSpU9F0LrD1O+j1Cj07NKB8cAB378exdscJojP53jeoGcKB36y7oIXeiOTRpz4jOdX8TWTV9yPo1rau7ck6gCngSIVnx85j4+5TFlM/SBiSpx1d+QEA127fo2bPyVb7f653C2ZNeh5VVdHp9Vy9dY/jZ69TqoQX8QnJjP1iBRH34pAlCRUVCQmtVmbSyD5UKx9I4zoV0Gq1pOkUSvh5sWz9vyQkJYEiEXk/Dk8PN/p3bkzlkMAc5QGtffeTk5O5cuUKlStXxt3dsZw5RrdPe7HkOluQXL16lcqVK+c43r59e3bu3AnAwoULGTZsmNP3xoz9Zmfy5Ml89NFHThnDkd9nsTHLGP+4wfDHK0nOFXaA3h0bsGHXSUr5+zzwzUS9CpKasZqyZzaqqlLC15Pwu7Gs2XGSdTtPsvK71+jWtg4AvTo2ZMbYp/D19iBNp0cjy3zx7jN8u2gz03/cAMDVm/dsjvH4i99YFHaAJ0fP5daOGfjb8Dm3F72SNV/9qOc7sXaHZXdHJBjUp4Xpx0Pp0cHWWLr2APVrhDB8YAdctFqqVQji+Nnr3L0fR0iZAJZ9/QqHTl1n894zJCWn8liLWgx+ohUuWg2pqam4u7mRnJqMqkicC73FoN4tTCYhVVWJTUgi0NfTavSrs5HT3WLtCWRyKSQpCCpVqmRTtK9cuUL79vYn2LOXoUOHMnToUKf3m1uKvFnGaGtO0RtWIanpHiJW3LRzTdc2dRn/Sg+rm2EFhXHz1Phe7RN3ePflHqafFRWeGjOXpORU9ArM/miwKRWwi1aDLEu4uWp575UejHu5G2DbXXPq3A2E34212kZRVAaMmWvHjG2jN7OJ3LReZYb0bWW2vSxLNKlTie5tamf0YSXCNTOfzF5rioY9evoqT3ZtQs8ODdiy9yynL96mZYMqvP9qN755fyDtHq3K1VuRRNyNRqvVEOjvQfmgElQM9qdZnQpE3Y/m0KlQjp25hIeLRGn/ghV2IxrZ+orcGCdRCL7ydrNx40Y+/zz3lcYeFor0yl1VLYdF59aP1xparYbXnuvolPJ5mTkXGsbKzYe5H5NIxXIleaZ7sywFNYzRjOt3nqRNk+qUyObnrlftu4vLssTAns344JuVJKUY8kXr9Qp9Rs5i3dwxKIpqMWXCmBe6MPe3nXRuVcti/2t3nOTTuRvtmAnsORrKzTv3CbFQZMQejL//7EiSxDcTBlK1QhAzF28jMioOAE8PVwb3acnQvi2oXTUjDfPJS7fsGi8hMYUDJ0Jp06QGUTFxrN95nBJ+Xrz1QmdctBouXAmjZYOqdtmlQ0oHEFI6wK5x8xujgBsDm1TSc+gUAht7bjh48OCDnkKBULTFnYIPqnCmqKekpjHq48X88fcRNBo5vbCzwscz1zB5VB/eGPx4ljE7t65D62c/Y9zLPRjYo1mWvhQMAm/rCdvD3ZXAkr5cv51hXolNSEUFq7lwPNxd6dG+PtPG9DV7XlVV3ncgP7wKrN91iuED2tl9jZG/th3j0zkbaVirAjMnPW+2jSzLvDn4cV5/tiN7j14gNU1P+TL+NHwkJEdbW6amzNy9H8/2/ecYMOZHs+fv/PMFvg4UfClMSJLlYjGCwkeRFveHvbLO2Bm/8+fmowDZKjapTPr+L0qV8ObZXgbbsCQZNuie79OK1yf/QnApP9o3eyTjClUlRa/Y5ckTl5Cc5Wdzeduzo1cU3h7amTIWSvQd/+8ml8xEfVrDVtHv7CiKwuMvfcv+45cB6NSyNjqdHq2V96zVaujcspZVe7EjYlwhuCSf/7TB4vmEpJSHVtwFDxcPkaXMcezdDDf+6VtL1lTQ3LpznyVrD1gNiJr+44YsRSm0Gg1d2tRBliW+XLApS1/Tf9zAk2/Mot/IH/july2mvOGZ0en17Pz3P+7HJGQ5fv227WIgGlnOYsrIjrnxbFGrimNZ/UZ9+ptJ2I1jOmP/463B5ouWZKdGpdI0ql2BX794hY/f6oc229iyLFG6ZN7q0woE9lKkxd3eJ0gXraGCj6tsKNVw7Mw1wiKjc1XNx1ls2HXSZpvrYVGcDQ3LcsxFo0GvqOw5cpH4xGTWbD9Go74f8eWCTRw+dYVUnZ4dB/6j/aDp7D1y0XSd4b1KzJiXc9V59dZdUlJScxzPjqXVb3xiMrOW7rR5fWa8PFzp2rqO3e0VRWHx2qy21PW7TpJqx865re9JzSrBNHikHPVq5DTZGNFqZL6e8CySJOGi1TLyucdymIQea17T6XUDBAJLFOlvmj2Ltsw2RI0G3F0kmterSHCgf3pBhQezmk9MTkW2w36fkMl0kabTs/9EKFXKB7Jmzptcvx3Fi+//DKh8MKIX5/+exvq5o/nrf29wdNVHXAu7x527MQDExCczeNyPHDhxOccYlcqVxMfT1eo8XCwkG4uOTaR6t4ls2nPG5nvJzDfjBzi06j5y9jpp2bxaomMT+frnvx0a1xLbf34HXy83Fk5/ieBAvyznGteuwNq5b9G6cTXTMVmWeKZHM+qn2/BdXTT8+oBqywqKJ0Xa5i5LtkvJmfPck2VwlyFZZ7Blp6Sk4eZWsLU1H6lcBr2NJweNLFGlfEZObxethnU7jrP3t/dxc9UyZtoyAH76dBi9OjbIsmp0ddUyoHtT7kbFc/5KGO0GzTAbmarVyKz49lWTx0T23O8Shs/Qkg4/NXou0XGOZTDs26khgzP5mduDpajaz3/aiKKqvDOsK+5uLllSChhRVNsbhZ4ermxdMIarYfc5ve5TLl2/Q8S9WIID/alqIbd9mk7PwJ7NOXXhJhc3fOI0v32BwB6KtLhL6YKUaqYYhQQ2w+TdNIZNWTc3F1JS03B10RZYcNLjLWtTJtCPiLuxZu3uGo1Mrw4NCAzwIU2nx0Wr4fTFW/z21QiTZ82uQ+f5aFQf+nRqZHYMrUZDUClfygT6MWfKYD78dhW3I6JN5xvWDGHRtGHUqGSo2ylL4KbNGhBmbSMyPjHZbHZFS3h5uDJ6SCcmvNLd7muMNKpZAUkyv8/y5fxN/LhsJ93b1aNnhwb0fqxhlvOKmrHvYouKZUpwLTyGGpXKUKOS9T0BWZIoU8qPnYvGEmRho/lh4lZENNsP/EdsfDK+3u481qIm5YL8H/S0BBYoNukHlEzFBxz10VUUSM20iHa2H7sl/jl8gafenIVer2ZZxWs0MoEBPmz9eSzlSpcwzSf7vKJiEiiRvlq0NN/svuvx8YlERcdRoUwJ3N2tm2JssePf8/QY8YPNdtXKB/Llu0/Rpkk1vDzccj3eo09/xplLYRbPS5LE9Z1f4O2ZNWxbk16Ryl6+X7KTVwa0t/kd0CsKGlTc87k8UX6lHzBy5Mw1Pl+wmQ27T6HL5IKm1cr0aFePd1/skiVNhSD/cOT3WaRt7pkxVmk3mhAc0WZZNmy4ZqYg7oltH63B3/PfoUubOiYh8XBzYUjfVuz45V3KZQvwyS42JXw9kSTJqghl910P8PWkRqXSeRZ2wO4izkElfenapk6ehB2gXBnrAU9fvfcM3p7ubPrnNK0HTqV0q7co3eot2j4/nW37z5m95uCpqyzfeNi0cR2XkMzKvw9nc001j0aWcXXkrlEIWb39BJ1e/IY1209kEXYAnU5hjfG8tXQOBciZM2d48sknqVSpEpIk8e233+aqnx9//JEOHTrg62vIERUdHZ2jTZ8+fahQoQLu7u4EBwczePBgbt++bTr/0Ucfmf7+Mr+8vDKCDBcuXJjjfG5vwtkp0mYZZ2MU+GSdQRAzr5ghf2qxNqxVgaVfDScuIZnY+CRK+nvjns3+b2lce+aTfbXvTGeOlg2qoNXIFhN0GXmmRxOnjHcz3JCxsnXj6gx7sg11qpUlPjGFrfvO0LBmBbq1q8dbny7hl9X7s1x34r+b9Hp9Fm8+/xgz3ukPwP9+28lHs9YSl5CxYR0U4MNnY/qxft4YJBs+NoqqsmTNfmpUKEX7pjWc8v4KmiNnrvHChJ9JsZIHCAyFu4eM/5ltC8Y88BW8sUD2008/zZgxY/LUT7du3ejWrRsTJkww26Zjx468//77BAcHc+vWLcaOHctTTz3Fvn37ABg7diwjRozIck2nTp1MNV6N+Pr6cv58RlpoZ+mIEPdc4K6FNB3o038JBWGi8fFyN+V1cSbGuZ8NvUWDauVstHYMWZYZ2KMpi9darunq6e7Ky0+2ccp4pfy9mf7OUwwf2MG0D6EoKo1rVyAqJoFf/tqXQ9gz8/3i7bRpVJXN+87y08q9Oc77+3rSt3MTNLJs9XeenJLKzMXbmT5vA1VDSvHL9GFUKlcKP5+HK3jp8wWbbQq7kZRUHV8s2Myyr17J51lZx1kFskePHg1gyiRpjsw3j4oVKzJ+/Hj69u1LWloaLi4ueHt74+2dUTjnxIkTnD17ljlz5mTpR5IkypRxLKbDHoqNWcbZuGjTi0g/6Ik4ieoVyrD3uP2bn/Yy96NBNK1byew5VxcNWxeMdprv96DeLRg+sAOAKRJXliVkWcbfx5P2zR6x6V454J15ZoUd4OWn24Fq+Wau1+v5+5/TVOs8ns/mrEOvV7hwLYIWz84gpON7vDLpF5tJ0woLtyKic1SjssX63ae4lWlDvjgRFRXFkiVLaNWqFS4u5j3rfvrpJ2rUqEHbtm2zHI+Pj6dixYqUL1+eJ554gjNnHHMbtkRR0aYHgiSBa3oAlCEIKuPcw7ZPrdFINK5bmaiYRNuNHUCWZXb/OpZfpg+jdtVg/Hw8KFPKlxHPtOPG9uk0qlXBKeOoKrRoVM1iEQ6tVkPFsiXp2ib3eeI7NKtpNZWBRqOhWsUgEpJyBnzp9Aq/bThM+yFfEpGeqKwws/3Af3btK2RGp1PYYaMgeFHjvffew8vLi5IlS3L9+nVWrzZfYzc5OZklS5bw0ksvZTn+yCOPsGDBAlavXs3ixYtRFIVWrVpx8+bNPM9NiLsTkWWDwGdf1xkDoZwVEJUfNw5jwNa+E1doPnAaYZHRTu3/6a5NOPLHB4Tv/oIrW6byzfgBTs2xkpCUQoXgklaTm6Wm6Wj7aPVcj2GX9c1KG71e4VZENFPnWs49U1iIjU+23cjcdQm5u+5hZdy4cRw7dozNmzej0WgYMmSI2b/PVatWERcXxwsvvJDleMuWLRkyZAgNGzakffv2/PnnnwQGBjJ3bt5TXjsk7tOmTaNp06b4+PgQFBRE3759s2wEXL161ezusCRJrFixwmK/d+7cYejQoZQtWxZPT0+6devGxYsXLbYvzMiywRfcXSsZ/ORTU7l07Q56vYIkSdwIz5qnJTdCnV82fhethtZNqnPy/C3q9JnC3fuO54N5UNjzOUpgcyPUGrsOnTflazdHmk7Prn8t10sFg8D/uuZfktNTKhdWfL1zt7/jmw/7QoWZUqVKUaNGDTp37syyZcvYsGEDBw4cyNHup59+olevXpQuXdpqfy4uLjRq1MgpZQEdEvddu3YxcuRIDhw4wJYtW0hLS6NLly4kJBgSTZUvX56wsLAsrylTpuDt7U337uYDU1RVpW/fvly+fJnVq1dz7NgxKlasyOOPP27q92FESvej9/Z0pU7VMqbH+bKB/rz56RI6vfAFjw35nOPnrgOGpF22VvaO3AhUVWX7gXMMm7CATi98zsAxc1i15WiOEP3suLka7IVJyWm8MulXu8d70Hh5uHE7wno+IBcXLQdOhGa6xpXWjavT9tEadm12/rRidxbvqMyoqoosSfz0x26b/SQmpxJZyG+cj7WoabPwSna0WpmOLWrm04wKP8bvXkpK1mymV65cYceOHTlMMubQ6/WcOnWK4GDLSfjsxSFvmU2bNmX5eeHChQQFBXHkyBHatWuHRqPJseu7atUqBgwYkGXXODMXL17kwIEDnD59mjp1DImiZs+eTZkyZfjtt994+eWXHZlioUSWMvnJazXMmfQsf207ybw//mHIez/xeKvavPRkWx6pXAYXF8u/EntX7Gk6PS++v4B1O06g0cjo9QoaWeLvPadpVLsCq2aOws/HfCi8BGxbOJZOQ79kiwXf78KILEuE3YnKkffFiE6vJzIqnnU7TtCiQRW+nziIahWCTJ+pTqdn8doDTPz2T4uphv+7HM7Ijxcza9LzKGpG+uQ0nR5Zkhj1yRLOhVoOojIiSeDjlTef/vymXJA/PdrVY812+/3Xe7ar98AjVlNTU00FqjMXyPb29qZatWo2rs4gPDyc8PBw0wr61KlT+Pj4UKFCBQICAvj33385dOgQbdq0oUSJEoSGhjJx4kSqVq1Ky5Yts/S1YMECgoODzS5wP/74Y1q0aEG1atWIjo7miy++4Nq1a07RvTzZ3GNiDEmnAgLMV4w5cuQIx48ft3rHMt7lMjvuy7KMm5sbe/bssXpdbGxsltfDgizL9O/ckI1z3+Dixk+YPfFZmtQKsSrsjjB1zjrW7zRklTRuiukVlab1KtOhWU027rbsBSFJEo3rVOLkmo/R65UHmhnTUVo2qMyR01cBsphP9HqF+MQUBo6ZzZNdm7Bh3pgswg6GDdchT7Tir1lv4OZq+fewfMNB2g6axuLV+7l8I5LLNyJZsmY/7QZNZ9l6yy6fRjSyRKcWtfC3cHMtTLz7Yhern0Vm3N1cGPdil3yekW1u375No0aNaNSoEWFhYXz55Zc0atQoi1gaA4esMWfOHBo1asQrrxhcO9u1a0ejRo1Ys2YNAJ6envz555906tSJRx55hJdeeon69euza9cu3NwybtyKorBw4UKGDh2KRpNzM/7+/fu88sor1KpVix49ehAbG8u+ffuoXbt2jraOkuv0A4qi0KdPH6Kjoy2K8Ouvv87OnTtNd1JzpKWlUa1aNZo3b87cuXPx8vLim2++Yfz48XTp0oW//zaf1e+jjz5iypQpOY5bSj9Q2FFVQ73TvJKQlMIjXd8nISlj9Vm+TAl++fwVGtaqgE5vGERr5ouWnSk//GWxspIlEpNSGf/NKn7feIiEpFTc3Vzo1b4eU995igA/byQMEcL5VaJNUVSOnL2OXpUIDvQnPjGZlZuP8PPKPciyxIk1U6y+d1VVeeuzpfya7g9fs0oZbobft1o4xFJOG3NoNDJbfhpNy4ZVHHpf1sjP9ANrdpxgyHjrgUxurlp+mT6MPh0bONz/g2Dy5Mns2rXLqg97YaVA0g+MHDmS06dPs2zZMrPnk5KSWLp0qU07k4uLC3/++ScXLlwgICAAT09PduzYQffu3a36P0+YMIGYmBjT68aNG7l9K0WKY2evZRF2Hy931v84hrrVDQFKWo3GLmEH+OC13na1U1RDtsjYxFQ+m/c3f245Rkx8Mrr0FfOyjYep2f1D/rsShoKhrmmq3n5BdARZlmhUsxwTv/2Tmt3f59EnP2ba3PWE341hSN9WaOzwqR/a3xBU5eaqZdWsN9i/7IMcdWmNeLi78vu3r1k0B0HGTayErye/f/2KU4U9v+nTsQHbFozhicca5LDBa7UyTzxmOP+wCDuIAtlWGTVqFOvWrWP37t2EhJgvYPDHH3+QmJjIkCFDbPbXpEkTjh8/TkxMDKmpqQQGBtK8eXMeffRRi9e4ubllefwpTiSnpLF572nCI2MIDPCla9u6eKbngtFnq/z9bK/mlCtdwqqLoDlUVeXmnftUKlcqR16djDZZC5BLsob3h/dk/Ks9mPjdKuYu22lqm5qmo+er33JpywzDtRgE3tVGZs7c0Ob5LzhxPmdR68Z2hMZLkkSlcqUA6NupEWVKGUT79LpPmL9iN3OW7yQ8MgYfT3ee692CEc92JDjQj8/fHcDgcfNM/QQF+PBi/9ak6vS4u2p5pHJpnnisgWnD+mGiSZ2KLPvqFW5FRLPjwH/EJiTj6+VOx4c0K6QokG0GVVV54403WLVqFTt37qRy5coW286fP58+ffoQGBhosU12/PwMf0gXL17k8OHDfPLJJ45M76HGksBlz/2ydO0B3v96JTHxSSbPDR8vdyaPeoKXnmpL/UdCcNFqTF4xz2QrlG3/fCT2HrtEWpqeOlVKm805k1nYISMqVANMf+cp7t2P54+/D5vO34tOYNfB86barmr6y5navufIRbPCDpBqRyi9qqqU9PPi6a6NefOFzqbP39PdlTcGP24qSp6dHu3qERzoR1ikYR8qIiqOx1vVonWjqrl/M4WMckH+PO9gnn3Bg8Mhs8zIkSNZvHgxS5cuxcfHx7SjnJSUtRjDpUuX2L17t8Ud35o1a7Jq1SrTzytWrGDnzp0md8jOnTvTt29funR58Bs0BYmLmd9GZte7FZsOMfLjxcTEGz5v4/G4hGTGzljOolV7KeHnxYDuTU3mhwBfL4dX7UZWbT7CwlV7iIiO5+0Zv3MofbMSsqZQNoeiqLz3ao8cx1dsOpTlZweDIG0y9cdNFs9t2Wd57yczMXEJ/PTZi9SqEmy3h5IsyzxSOcN9TQKzVa0EgoLCIXGfPXs2MTExdOjQgeDgYNNr+fLlWdotWLCAkJAQi+J8/vx5k6cNQFhYGIMHD6ZmzZq8+eabDB48mN9++y0Xb+fhRiObLxqhKCp6vcKk7/6yev2UmatJTdPx2dtPUqd6OSQJLl2/YzXwxhpd2tTl1IVb+Pl4cfDUNdoN/pKqXT/gyq27VoUdDLbvahWCeKSy8xMiWcNaaP8fmw5x9368xXgBVVXR6RW0GhnFSg4ZS6SkZgQmqRj2O/SKoeCLrc8rv3nY0mEIzOPI79Ehcc8eRm98DR06NEu7qVOncv36dYsbotmvefPNN7lx4wapqalcu3aNTz75BFfXvOcTfxhx0YJLNk3RaGQOHA8l/G6M+YvSuR+byM6D5/Hz9mDjT2OYMfZptu0/ZzUfijWG9mtNt7Z1kSSJRTMMT2G3I2Jo/ORnJCXbLpgN5MjR/nS3rOlOc/lQYZEyVioeJSSl0m/kD9yLNi/wkiShkWU8PR1PixAVncDh9Ccbb0835n06lMF925CWLu6pekjRFbzIG5NYJSY6N2eQ4MFg/D1aSk6WGZHytxCi0RhSCmfmXox9EY337htWrp7urrwyoL3DY+sVxWTScXXR8vpzjwFQNsjfZCJKTknjl9X7eelp6/3rdHqu3Lpr+rmkv5fJ3m7E2eL+4YgebLOSvOrMpds0fGIyT3VrypvPd6Jy+cBs+exzN6FvF202BDPJEu++1J0la/Yzd9lOHqlchsmj+hAY4GvaRHbLh01kS2g0Gvz9/YmIiAAM/tkFVSpS4DxUVSUxMZGIiAj8/f3N+sxnR4h7IcVdayjQbSR71SVLhJQxH1Bmi6SUFNxdXS26CkqSxNIvX+HZd34E4LM5662Ku06nZ9XWo9yPMaSQcHXRsv7H0Vna5IenTIsGVWhat1KW/YHsJCSlsmTNfj4Y0cspQjd32U5+WLwNMLzPST/8ZTp3+PRVlqw9wPBn2jN97NMA6FXQFqC+GqPGjQIveHjx9/e3O/e7EPdCjKucUbu1ce2KVK9UmtBrEWYLZkuSRLnS/rRubF+ItU6nR5Zl00rVw82NmLhEvDzcTAW2s9OtXX06t6rNln1niUtIxkU2eMxkR68oRETFMWXmarw83OjdsT6fjnmSkv6GFBQaKSOQKT/Yueht+r4xJ8cGqrenGws+ewF3Ny1jP19JYICP2ett1cjNfF5RFPSKwoev9+aXP/dyPVtiOCNzl+8iONCft17ojE4xlHssKCRJIjg4mKCgINLSCnfCMoFlXFxc7FqxGyk2BbIfVtT0ACEF2HPkAv1GzkRR1Sx5yw2ZN2HZ1yPo3LqO2X7CI2Pw8nTDx8vdYkFtw3iWhU1VVU5fuEm752fg6+3OnX++RFFBlz4/I5r0erUP+uk/KjqeH1fs4X5sIm2aVKN3h/oAfL1oK7+sPsCB3z80e92833eRmqbn9ec6Ovz5HP/vBj1f/dbsnoS3pxs3dn2Fqqp4ZN9YyQNF9bsvyBti5V7IMRYEUVV4rFkN1s95k3e/+oMT/2Uk869VpQyfjulPx+a1TMcURWH3oQus2HSI6LhEqlcszfN9WuLj5W4SJ3MiZW3FKkkSdaqXQ5Yl+j3emFS9QcSN88s858JAgL8341/pluN4WGQM127fI+JeLEEls4qhTqfni/mbuHs/nnvR8Yx/tQeumXL+GD8fcyIvSRINa5bnwPIPaPDE5BzjxiemcPL8TSoEB+ARUPhzywgeboS4PyRIksF3ut2j1Tjw23jOhYZxOzKa0iV9qVOtLIoikZYusDHxSQwcM4cDx0PRamT0isrf8hm++2Ur777cnfGv9si1rVmWZTbMHU2tamVR1Iwo0/wyseQHpUv6kpamY/ZvO5j4ep8sm6hHzlwjMt2dcufB/5g0so/ZPqwVJa9QtiSDejdniZnasRH3YrgZfo/+nR6ecH3Bw4moxPSQUqtqMJ1a1KJu9XIGFz5NRpm/lz/4mUMnrwCG8m6qqpqyQ37+00YWr7FcJNoemjWokqWKUpoTEp4VJAN7PIoKfP/rVlZtOQJkZJHMnCBsQPemNvPfm0NVVV5/rpPZc54eroReu+P4pAUCBxHiXoSQZfjv0m227juL3kKqXkmCrxb8nadUvjns0Dz4IB1HCCldgtFDOqEoKi9/uJBnRs9m6/6zhF6PQKuRTWalUv4+uX7CCTCTaKxMKV+eH/cT/R9vlJfpCwR2IcwyRYyNe06jkSX0FtRWVeHa7XuEXo+keiXrJb8cQVEfLtPMJ2/0wdfLnS8WbGHz3jNs3nsGXy93Lm6ZzuOtarP9wH/cunM/16kro+NyBg2F343lxf6tqFrB/nxLAkFuEeJexEhN06WvNq2LUnKqc13iJODqrbus3HKM6NhEqoQE8mSXRk4tgu0Mrt6+y42wKKpXLMN7L3dj1KCObD9wnvjEZHy8vWg3aDph6eX6Zi3dxlsvdHZ4DEmSmP3bjizHZAk+GNGTd17sSorO8HnJssGzSJIgKU1h695zrNt5DBWJ5vWr0PuxhqTp9LhoJAL9vQrNRrXg4UC4QhYhVBVWbT/JoLE/Wm3n4ebChc3T8fa0nDLZlq93ZtJ0et6dsZxFq/chSxKyLKPT63F3c+Hb8QMY8kRL253kM8s3HmLclyuJjMqI9K1YNoAFn75AswZVaTFwKmcu3s5xnVYrc2rNx5QJ9LdrHFVVCYuIoU6vDDfLOtXKsnXB27h75CyuoNfrOfHfdWbM28iWvWdNBeX1ioK3pxsjBz1Gq0bV0WokqlcMJCTIP4fIi+++wBzC5l6E0OmhS+s6lAn0sxhGr5FlnuvdAm9PN1RVJTY+yaxPtiO25vFf/M6i1ftRVUM5vzSdHlU1FNke/tES1uywvw5nfjB72S6Gvr/IJOwl/b15+el2DO3fhpIl/enz+g9mhR1Ap1No0v9juxI2qarKmUu3aT4ga6rqkiW8zQr74ZOXOH3pFlPnbmDLvrPpexeqab8kITGFz3/aRFJKKi0aViXA35c9xy+TmPLwlD4UPDiEWaaIkKwziItGI7Ng6os8OWomqTq9yUsGDHlTalYpw4ThPZm1ZBunL9wiJDiAtDQdUTEJPNGpEZ1aOla7MSziPj+v2mdR/CTg4/+to3eH+g8kp4lOp+PdL1eafn735e6Mfamb4eangqoq7Pj3vNU+EpNTWb31KH07N8lxTlVVboRFsXr7cRat2kPo9cgcbd4c/HiWJ6H7sfHcuHmfxBQdh49cYvuBc2ZN+yqG1deMeRvo2qYuAI3rVOLYueu0blDJ7s9AUDwRK/eHHFXNyEFjfKRv2bAqOxe/xzM9mpkKHJcu5cu7L3dn/Y+j+XbRFnp1bMjsKUN49+XufPh6H77/cBBarYYlax1zk4yNS7K66agCZy6Fcen6g8lr8v3iHejSb3BvDn6cCcN74qLVoJFlNBqZRX/Z936/mG8+T7yqqqzfdZJJ360yK+wAT7/1P8q0Hs3XP29CURTOXLiNKhnqDB49e93qTU9RVY6dvc6N9LQGGlmmSZ1K3Iq0L5GcoPgiVu4POZaKateoVIZZk55n5sRB6PSKqUqSqqpMfK23yWzjkikdcOtG1Thz6RY3wqMob2cCsqqVStvYujUQE5dku1E+cPTsdcCwzzDq+U4sW/8vZ0PD8HR3oWf7Bty1kv89M4nJ5jegZVlm6doDVq9VVUhN0/PJ/9Zx4WoEg59oaajJKsu4aLXIspQlnYQ5YuKSKJ+eL0qn13PlViTlAr3tmrugeCLE/SFGVW1vfEqSlEXAJUnCxUVD+J37BGcTcK1WQ4OaFVj592G7xV0jy7i7uZCcYt37xlg9qqAxeuvUqV6OR5+cQmx8Mi5aDYqqMmPeRh6ta7lUZGZqVQvO8rOiKMiyzMzF2wgp7ceZi7eQrbigGvl940FK+Hoy8rmOxCUkIcsSOp11G7pGIxOSKSuo4UYgXGcE1hFmmYcY46rdUYcnSZIoU7pEFnu8EZ1eT0gZ+9ILG/sa2NN2ndYH5ZM1ZoghUvTImavEJSQDBu8e43s/dvYqsh17AbM/ylro/XpYFG99tpSJ361i056z1KlWlhYNqtjsR1Xh19X7uR+XSHxCMtUrBOLuZrnwgkYj0+exhvj7ZuSi0WpkNA9TUIHggSDE/SHHaGfPzXXmVttajQYfL8d808e+mDM5V3YqlyvlUJ/Oonql0vh6u6c/5eQ8r1dUsymUM/Ncr+b4ZfLXHzR2Lo37TeGXv/aZjp2+dJtnujflkcq2A8MSklI4cvoqLi4u9O7YgKF9WyKR00NJo5EJ8PXiozf6Zjmu0yvUrlrW5jiC4o0Q94cUVYWYuMQ81cb09MhZyjBNp7e6kjRHudIl2PjTGLPnZAlaNar6wKIyk5JTiUtIsdpGq5Hp07EhJXyzZmp00WoY+1JXZk0ebDqWptPTuVUds5/7hesRLP/mNcL3fkv43m/Ytfg9OraoaXbMwBI+lCvtx7kr4fTr8ijvvNiF6hUzPiONLNO7QwO2LhpHhWCDicxolz9z8RZ+Xo79jgTFD2Fzf4i5cPUOj9at5NQ+XbQayjtgljHSokFVerarz/rdJ03HDPZ4Ld+897Qzp+gQicmpdt0AfX08uLztcyKj4jh29joVywXwSOXgHO1ctBrqVC8HQP/OjWneoCqxCUk88VgjqlcqnWUPpF6NEFZ+P5L/Ld3Oh9+uMvWhkWXOXw2nQ/NaKDqV5FQd9WuG0LBWRe7cu0+lcoEE+PqQnJpG2SB/03U3w6OIiomnZf2KefxUBMUBIe4PMWER0U7ryyhKcQnJ+HjlDLix5/opbz1hEndJgo7NH2HamL7UTRfDB4G/jyf+Ph5EW/HWURSVqhWCAAgM8KFLG/MFTwxtFTzcXLj1z9d4uud88slsWjH+//XnHmPL3rPsOnQejUamb6dGPNurBYtW7aFWlbLUfaQcsgSyrKF0SR/qVQsm9MZdUtMg4m400bFJeHi4UKN8EDUqlMztRyEoZoj0Aw8xJy6GExYRTYfm5h/9baGqKqqqIssyySlpuLpokC3UULWXqzfvcjc6npDS/lQK9s9TX85i4ver+WbRVoueLFqNzJn1n+Yo3GGOzH8u9u51qKrKif9u0HHI55QvU4Ltv7xLqRKGEn9R0fFcvXUPTw9X7t27x5gZf3LxWkZMQPkyJfju/QF0b1vPYv/F8bsvsI2wuT/E1K5choWr9uTa7i6l54EBcHdzybOwA1QKKcWjdStRoYx/nvtyFmOHdaFGpdI5in8bvWSmvfOUSdhdrHwEOp3edINwZBNbkiRqVS2Lt6cbP3wwkDIlfIi8F8vlGxFogFYNKhIeEUXv1+dkEXaAG+H36f/mXLOFPwQCa4iV+0NO6K37nPjvOl3b1EOjefD3aglwKYSVmaLjEvlk9gYW/bWPhCRDLp16NUJ475Xu9OzQADm97qssYaowlZ3Y+ER8vXNfHk+WDDeP7PcFRVEIbDOWxKScOX6MuLpouPPPl2Y3u4vrd19gHSHuRYA79xNxc3XBzVWbK7dIRzJA2sJNU3hqqJojKTmVW3ei8fBwpWygP8ZwoOxzVlWDyBstObJkOKbL41+LLBnKEmbmzy3HGPTufJvX/m/Scwzr1yrH8eL83RdY5sEv9QR5pnQJT9zdXHIt0JJkO/zd/r6c0k2+4eHuSrWKQZRLT50rS+bnLEmgkQ1PIS4aw/+d8TSiqJCiMzwZ6BXDDeOfwxfsuvbw6at5n4Cg2CC8ZYoI7lpQFEjNZTZYwwNc3tSrqK8UZBlwQrZdlYwnAwAvO72TfHPhxSQovhT1v8dihSwbzCK5uzb3wm607BU2O3t+YG3DNbc82bWpXe2GP9PO+YMLiixC3IsYkmRYxecGVVVJyUX5PYMd+z5OcLYp9Ghkw8ZrdlRV5V50fK48l2pVLUvDWuWttmlWvxKVHlAKB8HDSTH4cxTYg9FeH5ueXMteVFXlbOhtWg+cWixW7mAQdzeN4d99Ry8y/ccNVH38XXy83K3uexjjCszx16w3qBxiXrxrVSnD5nlvOWXuguKDsLkLsqAqKnfvx5mCbOyhYtlSxMQn8euaAwzu0yIfZ1d4kCTQSjB80i/cvHMfyJob3/w1EjqdHq2ZdiV8PTn11yTWbD/BN79u4+79OIICfBn/cle6ta2bL+9BULQR4i4wIUkSJUt4c+3WXbvF3VjMGWDBn3uLjbgbSUrJ8E1PTk3D3dWy15KqqsQmJBHgl7PIhiwZcs7069yIfp0b5dt8BcUHYZYporjm8jerkWX+Cw1z6Jq9Ry4CkGSjYEdRpH6NEFNu9Q07T9ksnHL2kvnPVlNMTFqCgkOIexElt5ubcQnJOOry/s3CzQDUe4AJwh4UIwa2M6UkeGfGchKTUsza1VVVJeJeLM3rV8pxzlzUqkCQV4S4F2EkHKvSpKoqy9b/S3M7KgoB6BWFj2et4cyl2wB8NvqJ3EwzXzjx3w36jvofTZ+eSrdXvmfnwfNZzickpfDb+oN8+fMWflm9n+i4xFyN07tDfV54wmCKiolL5NEnP+bStYgsn7uqqhw9e43XP/olS/4eY7RqIcgaISiCCJt7EcZNC8k6+zMXJiWncv5yGIEB9tnbY2ITTav2d4Z2JiggI/TdqG3WVqT/XQ5n/4lQfvpjLyf+u2FaAdetVpZvxj9NmybV7ZpHZhRFoddrs9iRTcx3Hb5ArSplOPDbeH5de4D3vl5FQmIKWo2MTq/w5tTlfDiiJ+8MfdzhpGD/m/QczetX4ZM56wmLjKHZ059QqVwpenaoj06n58/NR4i8H8+bz3fEy02DqoqVuiD/Ebllijiqaqi1aswfY/x1ZxYwVVVJTdPxzvTlTB/7NN6ebnb1vXjNfqbMXM0HI3oxtH8bICMHi/FLJWFwGcy8Or147Q6vTVnK3mOhVvv/+bMXGNjDvgAfI8+/O5+VW45ZPF+pbABXb0dZPD/97X60aVKd975cydGz11FUlSohpZj0ek/6drK90fn5/L/5ePY6VCVDwBVV5eUn2/D1e0+b9ZTJK+K7LzCHEPdiQqouI3JeUVQkySDwaTo9+45eIjk1jY7Na+LqYt/DnHGl7+HuatdKVyMZcrRcD4ui1XMziI5LMlugOzNajcz9A1+j1do3p8SkVEq1fidPpQddXTSkpplJCQk81aUxv8540WYfkVFxLN90mEOnrhJ+N5YqIaVo3agqT3ZpjIeZAh95RXz3BeYQ1r4iQGRUHP8cvsih01fR6cwLk6sWjGtGWc4oqu2i1dC+2SN0bVPXbmEHw43BXmEH0KfnUvl8/t/E2CHsYCgE/dXCrXbP6Zc1B/Ik7IBFYQf4Y/NRflyx22YfGo3M2h0n+X3TEfYdC2XJuoO8MnkxlTq/z6Z/zuRpfgKBvQhxf4i5cy+WIeN/pnKXD+jyyne0G/wlVbt+yMylO3KIXFqaSooF4c8NuUkTnJSqZ8m6g+jsEHYjuw9ftLvtvejcbYo6wvR5f2f5OSwyhnOhYcSkl/FTVZUn35pjMjnp9App6Z97XEIKT4+Zy5Ez1/J9ngKB2FB9SLkXHU+HF77iRvj9LKvgiKg4xn2xktsRMUwd3ZcjZ2/w1cItrNtxgjSdnoplS/Ly0+14ZUA73FxzFn6wB1VVUVQVjYPiHhefTLKDvvCOPE20bFTVob5zQ1hkDAC7D19gyqx17Dt+GTCYkPp3bkSPdnU5cOKK2WtVVUVF4quFW1j6xcv5PldB8UaI+0PI1Vt3aTv4C+7eT7DY5ptFW6lYriRjZ6xABdMN4Nrte0z6/i82/XOKP74fabayjy0kScrVI5+3lzturlpSUnV2X/Pik63tbtu6cXX8fT2JjrW8gjd6x+SFtTtPMvCdeVmO6fQKK7ccY82OE2g0skWzk16vsGb7SdLS9Li4OH9zVSAw4tDf6LRp02jatCk+Pj4EBQXRt29fzp/PcDm7evUqkiSZfa1YscJiv/Hx8YwaNYqQkBA8PDyoXbs2c+bMyf27KsK8OvlXavX6yKqwG3l7+u/oFSWH0Kiqyv5jofzwq/327OzkpjCIu6uGZ3s2tbscYEk/L3p3qG93/xoZFk57yaqb4eSRvXFz1ZqiSo3Ym/K4VAkvRny0xPD0ki3aS69XSEnV2dxP0CsKybnIvikQOIJD4r5r1y5GjhzJgQMH2LJlC2lpaXTp0oWEBIPQlC9fnrCwsCyvKVOm4O3tTffu3S32+/bbb7Np0yYWL17MuXPnGD16NKNGjWLNmjV5e3dFjOk/beLXNfYXSlYUFUv7i4qqMm/Fbrs2Np2FDLz3Uld8PN1sCryXhyv/LBnnUP8aCdo3e4T1c0fnyLBYupQvP09/ibeHdmbbgjG0ymbCaVyrAj988IzNMTo2r0VUTILFz9We/dygAB+73U0FgtySJ1fIyMhIgoKC2LVrF+3amS8k0KhRIxo3bsz8+ZZrRNatW5dnnnmGiRMnmo41adKE7t278+mnn9o1l6LuDqYoCiVajLHqzZEdiQx/c0uc3zSVoJK5+bwcr9xkdIf873I4r0z6lcOZNhYlScLdVUtggDfP92nBey92xdXVcath5uLWkVGxhN64S/kyJShXugQu2fztr92+x62IaEoH+FK1QiAAE79fzZc/bzHbd/tmj9D20RpMn7s+T6adiSN68v5wy4sdRynq331B7siTzT0mxrC5FBAQYPb8kSNHOH78OLNmzbLaT6tWrVizZg0vvvgiZcuWZefOnVy4cIFvvvnG4jUpKSmkpKSYfo6Njc3FO3h42H/8skPC7uXpSnKKbROBWy4EVFVVLl2LYOK3K/l56jC8vTzQ27FEMFoxalYpwz+Lx3Hqwi3OhN7Gw82Vjs1q4Ovt4fBcsiNLhlzrehVKl/SldElfQ8ZFM7VSK5YtScWyJbMc++TNJ2jdqCoffr+G/66Eo6oqwaX8eHtoZ158uj3zft9liqTNLW8OfixP1wsE9pBrcVcUhdGjR9O6dWvq1jWfb3r+/PnUqlWLVq1yVmzPzA8//MCrr75KSEgIWq0WWZaZN2+exacBMNj/p0yZktvpP3TcTvfSsIevJwykYtmSPPmG5ZuqLEs0qVMJPx9Ph+ciSRKjpy5l37FQaveaxPkNH+Pq7rgw16tRjno1nJ9szJhrPbd0a1s3Rw514xNBr44NGP/VH3aZXyxSNOIGBYWcXPu5jxw5ktOnT7Ns2TKz55OSkli6dCkvvfSSzb5++OEHDhw4wJo1azhy5AhfffUVI0eOZOtWyxt+EyZMICYmxvS6ceNGbt/KQ0GZkvbmV4d+jzeiY/Oa1H8kxKJtW1FU3h7WxeF5KIrCmm3H2Jfuxx0dl8SQ8T/bVYXpYc6nYpx6cKA/w/q3ydN7ibhXtJ8yBYWDXIn7qFGjWLduHTt27CAkJMRsmz/++IPExESGDBlita+kpCTef/99vv76a3r37k39+vUZNWoUzzzzDF9++aXF69zc3PD19c3yKsrUrBJsVztVhbU7TiBJEsu/fY0alUoDBhdASZLQyBKyLDFj7FN0a1vPoTnodHp+/nMvr0xclOX41v3nkFTbNmhztUcfFiQpI+f6E50a5WlD9E5UvJNmJRBYxiGzjKqqvPHGG6xatYqdO3dSuXJli23nz59Pnz59CAwMtNpnWloaaWlpWVKhAmg0GhSl4Dw5CjulSnhTws+T+zHWozBlSSIyKg6AMqX8+GfJBP7ec5q1O46TmJRKzSrBDH6iFSFlSjg8h3bPT+ecmUIeesVQHLpkCV+LtnetzENfY1Urw5FT1+g/amaeNlS37j9Hy4b2pVUWCHKLQ+I+cuRIli5dyurVq/Hx8SE8PBwAPz8/PDwybK6XLl1i9+7dbNiwwWw/NWvWZNq0afTr1w9fX1/at2/PuHHj8PDwoGLFiuzatYtffvmFr7/+Og9vrWghSRKjnuvIJ7PXW22nqCplS2cIt0Yj06N9fXq0t99f3BzJKWmEXo+0eN7b0xUXDcgK6BTrWSEfViQJJnz9R56DoFLT7A/iEghyi0N/crNnzyYmJoYOHToQHBxsei1fvjxLuwULFhASEkKXLuZtuufPnzd52gAsW7aMpk2bMmjQIGrXrs306dP57LPPGDFiRC7eUtHlvZe64uPlbrWNp4crvTs2cOq4Or2eZRsOWhSlUv5eeHsa5qWRDXnk3TTpL+2DFfZDp6/S+aVvqdhpAtW6fcjIT5ZajWC1RlhkjMXUAo7QqFaFPPchENhCpPx9yDhy5jrtBn9usRTe1xMGMiw9t7ozUFWVqOgEOgyewc079822+erdp3j92Q5OG9NZDP9oMb+sPpDjuCxL/PXDa3RuVduh/k6cv0mLgdPzNKegkj5c2vipU1MPFJfvvsAxisDDcvGiSZ0K7Pp1HNUrBGU5Hhzox+wpQ5wq7GAwB0VExRJ5P87s+VeebusUYZ+9bBdVOn+AR6NReDQaRaXH32fWkh257u9/v+00K+xg8BTq98ZsYuOT7O4vNU2H1gmPIGVK+rJ539k89yMQ2EKs3B9ijv53m2u371HCz5OmdSvbnbMlN6Sm6vhm0Wb+3HyE1DQdNSuXYdqYvnZ78VjjmXd+ZM32k2bP9WhXl5XfOW6eq/DYeCLvW/dKeXVAW76bYD3lwLXbUcz4aRNL1x90KOGZJWTJ4DM/ZVRv3n2pa577g+L53RfYRoj7Q4qxfF7+9Z8zX7tGMmyOOtNffdmGQwz7YJHVNnM+GsQLT7S0u0+dTodP09E221UsG8B/6z+2eP7StQg6DP3KrqpRuWH/b+/RsGb5PPdT3L77AvsQZpmHlPy+IxuFXSOBi2zYHHXROD8Q6dO55j2qMjN93iaH+tTp7BPiNBvtXv9kKfdjE/NF2LUamR9//8fp/QoERkQ+94eUgnIZV1SDqOcX160UqzZyM9z8Ri4YnmCU9JcxlZmrmytuLlpSbLgc1q5q2aR06VoE/xy5ZHNuuUWnVzh69nq+9S8QiJX7Q0pBhfKr5G8qFHveh6Xc8Wp6vpc0JaNGqz79WL/OjWz2O+Od/hbPnb2cM1jL2Xi4564SlkBgD2LlLrCJomaE3jubejVCbNYUrVu9rNnjqXrL5qnvPhjEP4cvcisi2uz5159tT+2qwcQnprBi02F2Hb5I+N0YqlUIomvrOrho8rdKkiRJTo9HEAgyIzZUH2KSCyjQUSuBNp+0bs+Ri3R++TurbTbOfYMOzR7Jcixz3nZLpKXqGDtjGb//fcRUuzWktD8fvtaTF55oyfKNh3nt4yUkJeesiiTLUo5KS85CI0v4entwavUkSvp757m/4vjdF9hGiPtDTEGJe/YiF85m6twNfDLH/MbqhFe6Men1XjmO69LTHNjCVZPufqgoWfIXbdl3lj4j/5frOduDJv0GoWIwP8mShF5RKVXCmzWzRtKoVt49ZaB4fvcFthFmGYFN8jvh1/vDe1ClQiAjJi/JsQn678krhqRk2Va4ji5Jsiemmzxzba7mavd4ksSUN/rw8pNtWLr+IPuPX0ajkenYrAZPd22Ch7trvo4vEIiV+0NMQazcjaXx8pPLNyJpPnA6ScmpOaocaTQyDWuGsGvR2CxBWnrFsJGanXvR8fy27l9OX7yFu5sLfTrUo0urWoTeiGTZhsOs2nqca+H3SDZjinEWGo1MgJ8Xx1Z+4BSziy2K43dfYBuxcn9I0edjAJMRmYLJwf794u0kp6SZLV+n1yscOXOdTXvO0LN9Rv55c08Tf/x9mJFTfiVNpxi8cFRYtGpvPs7cPBWCA/jzuxEFIuwCgSWEuD9EpKbpWLvzJEfP3ECj1dC5dR0erVvJoqtgXtE4ORrVEr9tOGQ1ja5Glvlj89Es4i6lB1cZV+/7j4fy6sRFGB9EH8TzqCRB304N+XX6i/maCkIgsAch7g8Je4+F8tzYn4iIisNFq0FVVb6Yv4lm9Suz+ItXCQywrwyfIygq5LNFBoD4hBSr5/WKYjZNb1xCIqu2nuDGnfv88td+CoOFUadXhLALCgVC3B8CLly9Q68RP5g2G9N0GTaZI2eu0W/UTHb+8i5aJ/srZpbK0BuRfPDtX1y6HomPlxuvP9uBp7s2cco4FcoGcPXWPYvntRqZKuUzKnqpqspXC7fy6ez1NqNQCxKNLOPjaT3fvkBQUAhxfwh4bcoSki1kJNTrFc5cvMXfe07Ts4Nzg2KMdu1XJv3K4rX/Zjl34MQVxn7xB4d+n0BQQN428V4d0Ja/tp7gteceo1vbumi1Mqcv3GLOsp38vtFgshnWLyNx2PeLtzPx+9V5GjM/0OkVnuxiOzJWICgIhLdMIWfV1mM8N26+1TYaWaJv58b89Okwp47tpoGP/7eW6T/9bbFNcKAvlzdPzdM4ick6kGX0iopL+tOHPt28sXzDQc5fvs3U0X0NbZNSqdT5feISkvM0prPRaGTqVivL3iXvFrhZpqh+9wV5QxgHCzGqqvKpheCezOgVlbh454qdMbXvd4u3W20XFhnLht2ncz2OqoKs1SJJkknYAZNAPtOjGR+/8YTp+NYD55wu7C52ugSVKeXLdxOeIcDPK/06jamAR7O6lVj7v5HC3i4oNAizTCHm8o27nA21ncBKkiSqVQyy2c4eMhe0PnT6qtnQ/OzMXLKDHu3q5mo8ffpzozWPH70qmb6o92NyV//UGlqtxmb6X1ethgPL3qN0ST9e6NuCv7ad4Ph/N3Bz1dK9bV2a1cs/ryWBIDcIcS/ExCdZ9yIxoqoqL/RrnefxXGXIHMh5z0YlIyPxifbN0xz2pG8xZqaUJKgcUjLXY1kiKTmNV55uw7wVe8yeD/D3Yteidyhd0g8AN1cXnun+KM90f9TpcxEInIV4hizEVCwbkMVUYYneHRtQo1KZPI0lkVXYARrXqWDXtXWr573Unr20aVyNimUDkJ28Sq4QXJLVM1+nS6vaeHu64enuSt3qZfll2jBu7ZhBtQrOeTISCAoKsXIvxPj7ePJ01yYs33TYYjUgT3dX5n06NM9jmUvpGxTgS83Kpfnvyh0A6lYvR71HQkhN1bHz4HnuRRtW9plt4o5irClqtQ0ZwVSyLPPDBwOdmvRLI0vcuRdLl9ad6dK6ttP6FQgeJELcCzmfvvUEu9NzjWeO4pRlCQn46bNhuLnmveiDpYXwb1++zDPv/MSsyYN5tG4l0/E0nZ5f/trHncj7lCqR+zB7jQS2PNWzP7z8tv5Qrsczh4ohFbBAUJQQrpAPAXfuxfLZnA0sXvsvSel5yTs0e4T3Xu1BiwZVnTKGBLiZudWrKiSmKqioaLMVsFBVFY0k5bm2qrXc7NnTDUfHJhDc/r3cD2YGjUbm0qZPKVPq4fzeFOXvviD3iJX7Q0Dpkr58/8FAZrzTn4ioeHy83PH08nTqGJbu8DoFi+59kiShkFG7NLfIksGn3lgqj/TNU62Z3DbfLd6Rh5HM88Gr3R9aYRcILCHE/SHCw92VimUDUFVIKYCskJDhqmi1jQJyHjMfSJKh4pMtrty8m+v+XbVZi2aX9Pfi/Ve789rA9rnqUyAozAhxFwDmN1TtNdgVpF0vwNfxJxZZlvD2dOPveW/h6e7Khat38PFyp2XDKri6iD8BQdFEfLMfQvIjVsZckKa94xRU6M7anSeZvXy33e0lCQL8vHi2ZzNGPdeRimUDAKhRqXR+TVEgKDQIcX9I0QDOssy4WMnbrpFsm2ZyE3GfvaapLeITkxn4zjy72np7urHyu+G0e7SG4xMTCIoIQtwfUpy1WtZgXZy1svWqT7Jkf43VsMhoXpm0mJ0Hz5uqLtWuGsxX7z5Fh2aPWL120g9rUOwIZx3Uqxk/TnneoRuHQFAUEX8BDyk6cEpxCtWGMEvpnizmviia9GpI9nDt9j1q9fqIbQf+y1JO72xoGN2H/8DS9QetXr9l3zm7xvn8nf5C2AUCxMr9ocVRs4Yl7Lk/GDxNDG2NuixLho1UnZIp+ReGpwCNlNPM0++N2aRYyEkP8OrkxTzdpTEuFjY47Vm1A6SaSQCm16fnp8Fwk9LkwbNHURR+Xfsv/564gr+vB28M6khwoH/uOxQI8gkh7g8hyTrrWRQdwZFuJCnDq0avZNQvNWIUewWyBDbdunOfc5fDrfat1yt8/vNW3n+lm9k5Na1Xics23CBdXTQmf/Xwu7EsXvsv7ZrWoN4jFUyflx5I0xncLjNHvl4Pi+J2RDSlS/pSOaSU2f6XrPuXkZ/8luUm9c2ibbRtUo0Nc0ah1Yo/J0HhQXwbHzJ06briLHG3x7c8O6qaU9gzo2BYzRv73nnwgl397jl6iTQFXM2srKeN6cvyjYdzHPfxcueZHs3o1bEBFYMDSNPD7xsPMnzyYtbOfZP6NSvmMF+pqkqaCmlpaZwNDWPCN6v458gl0/lm9Srx2ei+tGlczXRs3c6TvDzxV7Pz/ufIJdoO/pL9v423630KBAWBEPc8kFkzCiqVt7MrhubGsmOPhUSnZJhnPNxd7erX3VWLomak981McKA/08b0ZcI3f5mO1ahUmtWz3zSV+ZNliTS9ypPdmhEZHU+LBlVRVTXHjVCSJFRVZe+Jq/QbNTOHyefwmWt0f/V7Vs98ncda1ATgrWnLrc79+H832XsslNaNnJMOQiDIK2LnKRfoFINpJEWf8UrV2x/0U1hwzeVv307zt4le7esh2+FSM+zJNlb7f3Pw4xxfNZnp7zxJ20er88f3Iynl740sS6b+jf+OGPgYYPkJR5Ik3v/6T3Q6JYe4K4qKoqiM/PQ3FEXhdkQ0tyNibM5/6tyNNtsIBAWFWLnbgaoazAzGf82hZEoJIGG4a8bEJXLnXgwl/b2ckrtEr8fsSjQ3uOUx2ZcjuLpqeeKxhqzaesxim1IlvOnS2lDNKfu81PTEYipQMSSQ4QM7MnxgR6tj2vIkOnXhJqcu3LR4XlFVrt66x56jl3IkTLNERFSsXe0EgoJAiLsNdIrhZfG8Xs/5y+FcvXWX+MRkurWrT1R0PB/PWsva7cdMbn9tm1RnyqjetGxYJVfzUFWITkjG08MtV9cbibgbS+iNCDo2rWa7sQVkOwKbJLKK9OIZw2g7+C5Hz97I0dbb041ti8ZludaIokCq9Qp45se3cee6fvueXf3sPHiBVwe0tattcKCfXe0EgoJAmGWsoLch7KqqIksyj1QpQ88ODWjfrCanL9zksRe+YO2O41n8ufceu0Tnl75l6377/LWzk6IHL0/3PK/ao+MT6fHqt7z31Z+57kOWbAdRZU9nIMsye5e8x9IvX6X+IyEElfShckgpPnytF1e2zaBCsKF8XmY3Sn0uhd0e/H3sy1Gz4M+9lCnlR4UyJWy2nfR6r7xOSyBwGmLlbgZVNawY02ytTiUJSQIZw2N7UIAvo6YsJi4hOUflJEVRkSR4YcJCrm2diixrUNI3DmUzfuGZsRYh6ihrth0H4PvF22nftEauCltLksGjxWgqyY5Wthz12vex+vRoX9/sdbKUcVNQbHjk2IPRNJP9hqiqKs3qV8bNVWvV9x7gzr04lm08xKxJz9L7dcvVn1o2rMKjdSrmbcICgRMRK/dMKCqkpm+U2hJ2c9yOiGb7gXMWS+KpqkpUTALr/zlLqgK6dAFL0UOKzvyGrKrmbi6WWLL2gOn/E79fnet+jALvIqeXwcOw6nbVmE9CZvY6Ket1mXPcWHtisn+OEoqioqoZLyPrd520KexGhr2/iHkr9rD861fw9sxqFpOA7m3rsnX+6LxPWCBwImLlno61akD2cuVmpM30t7IsEXojMsdxFYPIu6YLnD1PDrkhPjHZ9P8LV+/kqS9jUJOjicNM11lp46hHjiVuRdzn7WnLmPh6H7w93bh47Q4jp/xKVEyiQ/2s2XGSJnUqErn3K9bvOsXeY6GU8PXg1afb4meniUcgKEgc+rOcNm0aTZs2xcfHh6CgIPr27cv58+dN569evZpuqsj5WrFihcV+LV3zxRdf5P6dOYDqBGEH8PX2sNlGUVSL7VRVJUWvkqQzBNk4uwLihSvh3L0fn2W8oo1KmZK+LJ4+jEtXbjN84kIGvfOjw8Ju5OtFW1FVlZ7t6zF1dF/GvdhVCLug0OKQuO/atYuRI0dy4MABtmzZQlpaGl26dCEhIQGA8uXLExYWluU1ZcoUvL296d69u8V+s1+zYMECJEniySefzNu7sxNnVTWqV6McFYIDrLZx0Wro3q6e2XPGm5qcbptwVhSqkS8XbMryc4gdm4QPCiclV8DbwwV/X08G9W7OniXvcnzVhzSsGWI46+AgMXFJ3IqIdsrMBIL8xiGzzKZNWcVh4cKFBAUFceTIEdq1a4dGo6FMmTJZ2qxatYoBAwbg7e1tsd/s16xevZqOHTtSpUru3AYdwU6zq13IsswHr/Vm+KRFZs9LwPCBHQjw80KvV5BlyekCbonL1yNYsSlr+P74VyzfcB80Wtn2hqqMwW6vs/AAopVzpiOuXrE0+38bz+Ez1/jy582s2X7CoeAzexOYCQQPmjzZ3GNiDFF7AQHmV6tHjhzh+PHjzJo1y+4+79y5w/r161m0yLxAOhNVNeRBcV5/KgO6NyUmLpEPv11Fmk6HVqNBryioKrwyoB0fjXoCSZLQmKtrl4+89OHCLD/3bF+XoX1bOqXvW3fuM+7LP9nx73+k6fRUKleKia/14InHGua6T2OeeEtamjnxl6yCTp/xu5RJz05p5bn04rUIVm874fC8clPmTyB4EEhqLg2viqLQp08foqOj2bNnj9k2r7/+Ojt37uTs2bN29/v5558zffp0bt++jbu7u8V2KSkppKSkmH6OjY2lfPnyxMTE4OtrOxrUmPwqvxZiMXGJrNx8hOu3oyjp70W/zk0emBlErygEtngTMATajHuxKyOeaeeUvldvP86zY+ebtd93blWbNbNez3XfxohgvZLhcilh3dXSvn5V6j3xMZdvRjqcMuL06slUrRCY+8HzgdjYWPz8/Oz+7guKB7leuY8cOZLTp09bFPakpCSWLl3KxIkTHep3wYIFDBo0yKqwg2Fzd8qUKQ71nRldPgo7gJ+PJy8+aV9kY36iqipJSakkHJnp9HQDsfFJPDfOvLADbNl3limz1jJ5ZO9c9S9J6St0OcNN1Bnv4cLVO2Y9luzB08O+JGgCwYMmV+ufUaNGsW7dOnbs2EFISIjZNn/88QeJiYkMGTLE7n7/+ecfzp8/z8svv2yz7YQJE4iJiTG9btzIGdZuCcVKjpiiiEYj50semQ+/t1367n+/7XLKWJKNQC9HSEhKzfW1r01ZwjU7UxcIBA8Sh8RdVVVGjRrFqlWr2L59O5UrV7bYdv78+fTp04fAQPsfYefPn0+TJk1o0KCBzbZubm74+vpmedmLhRijhwQVvV6xy43R2MY3n1abW/fbNrfFJiRn8a0vDFQOKYWLNnflmLbsP0e7IV9y8859J89KIHAuDon7yJEjWbx4MUuXLsXHx4fw8HDCw8NJSkrK0u7SpUvs3r3b4gq8Zs2arFq1Ksux2NhYVqxYYdeqPa/k96o9f/3HJcIi7F85ypKUp7Jy1rDXc0TnjHBTJ1LC15OnuzZBkwvDvaKo3ItO4NM5G/JhZgKB83Do2z179mxiYmLo0KEDwcHBptfy5VkLGSxYsICQkBC6dOlitp/z58+bPG2MLFu2DFVVefbZZx18C/ajpqcXcFR8s4eu28Kce2NeBd94vZsGqpUPJCkpxeK8VFVFr9cbilvnYwyyPblU3Fy0+DvRw0RVVb5fvJ2qXT7As9EoPBqNIrjdOCbPXIui2H8TmTqmLyGl/XM1B71e4bd1Bzl27jr3Y3MXECUQ5De59pYpbNjyGDBGoSoO5kO3lHzqQaCRDLVJjeh0oEMlc8iPqqqkpKTh4+Gabyt2IzfCoqjRY5LVNs/3bs68jwc7Zbw1O04wfPJiouOSzJ6vX6Mc+397z+7C4ZFRcfR+fRYnzlvO624LjSzRt1Mjpozq/cC8aIS3jMAcxSZxmC7dnc5RkTZGjT5o5i3fBUrWUFqtFty1Eq6ywaNEK4ObRsLfO/+FHaB8cACfvNnH4vkq5Usxe5JznsQW/bWfZ96eZ1HYAU5euMWH36+xu8/AAJ8833j0ispf24/T5vnPuXgtb7l6BAJnUmzEXZ8PuVryk4SkFBav2c8H36zkmTGzeffLFRa9ReRM4p6bmqh5YeywLqye+Rp1qpU1pU3w83bnzecf49Rfk9Bq824XiolL4s2py+xqO/8P8665lqhXoxyvPp03l1W9XiEuMYUx0y3nTxIICppikRUyw0f6wa/A7WH9zhOMmPwL8YkpaDSyKYVw/zfn8OuMF/HzsZ2grCDp0roOXVrXcUpfqqqy49/z/LrmADfC7xMc6EdggDepafYlAIpNcNwz55vxT1M2yI/P5m4kTZe7REN6vcL2f//jelhUlvxCqpoRgGVHGVmBwGkUC5t7bku1PQj+PXGZnq9+Y8hDnu2cRpZo92h11s9546G5UTlCSmoag8bNZ/3u02g1Mjq9kuXmZi9Jx2bmavxzoWG0ef4LklPSUHL5Z/HZW08gyRLuri50blOPkDIZQu+M6FpzCJu7wBzFYuX+MAUsGTI3SuSUdoN9d8fBCxw4cYUWDQxJ1VQMq0Nb1ZwyY1xNqpkqQeU3ipoxXvb6qkY++HY1G/85A4AuXdAdFfa81DGtVTWY7QvfZsj4BVy4GpGrPj74bjUaWTJEP3++gie7Psp3HzyHp7srKhnJ0Jwt8AJBdsRXrBCRkJTCtv1n0Vtx6dNqZP7YcsxQvUlv8AAyVnNKtVDNKTN6xXCN8brU9CpQ+ZWKQVEN/WcZT5+z0lJ0XCI/rdyT6xWzkQmvdMvT9Q0eCeH4nxP5KQ8brXpT9Sf4Y9NhanV7n19X7zOZfNIU278ngSCvFGtx1+sVNu4+xe2IaId8pPOLpORUu/7o4xNSzB5XMAinpT50SrqwANGxiew+dJ6zl26hYnQTdXzOOp2OL3/ezHPj5vP6x0u4lMljxFjdyly3umzFx/cfv2x32TtLtG1SjVfyuDkKhr2ZQb2b8+34p/PcFxj2Ad78dCktnv6ETf+cQlGUh+ppUvBwUizMMrKU0zRz7Ow1nh83j5i4RG7u/jrfxnbET97fxxM/Hw9irLj7KYpKtYpBVvvRKVn94Q3zMBy/dusug9+dx6kLt0znvDxcGTmoE+8P7+lQ0NMPS7Yz4etV6DPdFX5etZ8mtSuw/ee3QWO9M51i8N2XpLxHsTasGcLmn0bnqY/sRGaqWuUMLt+8y7Nvz6V8cAALp71IqwaVnNq/QJCZYrFyz74ivXrzLn1e+547d2PQ5LPvoL0bn6qqMv+Pfxjar43VOckaiWd7Nbfal17NuXpXVLgedo9mT3+SRdjBkEjr85828tpHv9ptLvhl9X7e/fLPLMJu5MjZ67QaNMOuJwHjTbdhrfJ2fVbtHq2OnGmTwNPdhbdfeJx9S9+zb+J2EhOXxJc/b3Fqn0Zu3blP7xHfc/5KeL70LxBAMRH37Joxe9kOklLS0CsqsQnJhF6PyFezjD2idTP8PuO/+oPu7etRvVJQDoE3CtoX4wZQqoSPw3NQgaHvzbfqUvjb+n/tCsSZ9MMahn+0xGqbM5fCOHDisu15pYt7+TIl6NWhnsV8LxqNTIemNfh73lvEHfqOS5s+5dq2qdzb/w2fje7rdO+hDf+czrOZyBKKopKapuOrhVvzpX+BAIqLuGf7+feNh7J4Yfxv6fYH6lqo0yss33AQgLXbjrPpp7d5ZUA7vDzcTG0a1CzP0q+GM7R/m1yNkZiUyrFz1222++C71VbPj/viD75YsNmuMb/4aaPNNpk/9pkfPkvlciWzrMzBcGMrG+jHvE8Gp/8sU660P0EB+ef2FxOXmC9pko3o9Aq/bzpcKPZ6BEWTYmFzz/43Gp8t0OXnP/fSvEFVBnRviupg7pm8oqoqcfFJ/LRiNwAnzt/Az8eTae88xeRRTxAeGYOHuyulS9kvZObcIq/etK84xSUrK/f4xGRm/bbT7nlERdu2WWfW8aAAH/YsfpcfV/zDz6v2ER4ZQ2CAD0P7tuTVAW0p6W+5Dq+zqRISmO8eLSmpOpJS0rLcxAUCZ1E8xD2b0FUsV4rLNyJMf7yqqvLtor95utujBb6ClySJz+as4869WADS0jJMAe5uLlQKKeVwn1ozz2OBAV52XWtNaGb89LdDglch2HpZQdmMj72fjwfjXuzCuBfNZxQtKDq1qEnZID/CImPtSlshyxKlS/oQFhlr9xgl/bzwdBeVnQT5Q7Ewy2T3lHnJTPm7Uc93LqDZZEWvKFmyGFYoG5DjScNeJMBVYz4oKTjQnwA/26l3Xxlg2ZXw4jXHAns+efMJXC0kMNNI4FKIv30ajcycyYOQZSmHmcgciqIy88NnOfj7BLuCwiQJXnqqdZGMNBYUDgrxn5fzyB7kOLR/a5rUqWT6oy1VwvuBrNoBNLJMbFxGTvDXBrbDVWMQ6YxMj4aXS/rPLpmOGdsYr7EmLB+O6Gl1LgF+ngzubdkTxxHTUPe2dahRqTSyZH7uLhrnlc3LLzq3qs2muW/SvL7limNgeB9PdWlMtzZ1qFe9HKOHPG5KomaJsoH+jB7yuDOnKxBkoVjklkk24/SQkJTCtLnr8fP2YMzQLmhzWXYtN8TEJ/H7hoMcP3cdSZL4c8tRkpJT8ffxIGz3FwCcPH+Tn/7Yw6mLt/D2dKNvp4YM7NE0z/bZ979dxTeLtuU4XtLfi3+Xjadc6QxTiqIoLFl3kP+uhFOxbADdWtfmkZ4f2Rzj+d7NmPex/bVzHwauh0Vx514ca3ecYOFf+4mMigMM+wSjBnXk7RceN3n6REbF0fK5GYRFxpitVlUhuAR7Fr9LYIDjXk/mELllBOYoFuIen6wzm3o2KSUVD7eCtXlu3nuGYePnk5SSiizLqIpqCrmfNfE5Xuzfis/mbuDTORtMybMkSQJVpWxpfzbNfdNmEJMtIqJi+eDb1Zy+eAsvDzeGP9OOp7s2ydLmq5+3MOV/67JkSdTIMiFlSlgtED1uWBc+tpLjvSiQlqbncvoGddXygWYXBjfC7/PalCVsO/Cf6ZiLVsPQvi356t2ncckeZZYHhLgLzFEsxP1GRFyOVdKDqLB0+uJNHhvyBTq9PsfGpCxLlC9Tgsmv9+LFD38xe71GI1MxOICTf03KVf1Pe/lm0Vbe//Yvi+c1Ggm9mfj5kc+158txzgnZLyqEXo/k+PkbuGq1tH20Gv4+zis5aESIu8AcxcJbJjE5NYeL44Owr89ash0lPaFUdhRF5drtKD6atQ5Zkswm0NLrFS7fvMuG3afp3bF+vsxRURQ+mrXWahtzwg5w6NS1/JjSQ03VCoEPrPyeoHhTLDZUI6Psd0/LT9btOGE1ha2EwbZrLTOiVqth24Fz+TA7A79vOmJ3YYzsHDx1lc17zzh5RgKBIDcUC3H/5+D5QuFylpyaZvW8ffYx1ZTrPD/Ia76Tj2dvcNJMBAJBXigW4t6tXd0HMm7m7QyNBLWqBFt1kZNlCV9vd6t96nQKzepVctYUc5CboKnMhEVEO2ciAoEgTxQLca9brdwDGdf4tCBh8Ot+fWB7qyYXVVV5fWB7i0FMsizh7+PBU12aWGhhHVU1+PzrrRSLGNy7Odo8bNZ6e1m/OQkEgoKhWIj7gzTJqKpqitIc3KcFvTrUN5SayzQlTXrk0edjn+TDET3p93gjgCyRkRqNjJuLlhXfDMfTwzH3TVXNqICUpmSq3GSmsIcsy4wdlvto3Zf6t8r1tQKBwHkUC3F/EFXnDWXWVGYt2WYSco1G5rcvXuKLsU9RqWxJU9uWDauy6vvXGPVcRzQamV+mD+PnqS/QrG4lfLzcKV3Sh1efbsuh39+nTZNqDs7DcpUlU6WkbOcmj+zN2GGd7Qq7z4y/jwejBnV06BqBQJA/FAs/dzBEqRZkxkdVVbkdcZ+6vSZx5I8PqF01OMf52PhkXLQah1fijqBXMooyW5gpB45dYuznK/jvcjjublr6PNaA0YM7UbNyGb5fsp2L1yIIKVOCMUM6sXLzMUZ++lsOr5/gQF/2LnmX4ED/fHsvAvMIP3eBOYqNuOv0oCvAd3rnbgy1enyIqqp8M34AI55pV3CDZyJFZ90LR1EUjpy5RteXvjKt4LUaGUmS+P3rV+nWtk6Oawx1U7ey91goHu4uDH+6LZ1a1sqfNyCwiRB3gTmKRRATgFYDehtC5yxUVaXZ05+avGX8fTzy1N+i1fv5Yv5mbkXcx0WroUOzR/hi7JNUzGTayS2yLFM2yD+LacaQ8gCef28+lzd/hq931vlrtVrGv9Itz2MLBIL8o1jY3I1oCsj2LkkSdauXBQybov3TN0iNGItV6xSD3dvSs5OiKHR44StGfLSE0BuRJKfoiEtIYe2Ok9Tq9RFrd57M81z1ikJYZEyO46pqqN7024ZDeR5DIBAUPMVK3FWwGiHq1LHSBXtAtya4umpNx4xeK0ZxT9Vb3vB85/M/+PfkFQv9qzz7zjwSk1KtzsNc4Y7MSJLE4jX7LZ4/etZ2aT6BQFD4KFbijgo7/v3Prso6eSEhMYWT52/QoWkN5n9iSH2rqpBmQcRVzAv8wr8siy6AXlH56H/W88DIUs4yg0Z0Oj3nQm/ze3r9VnPzci3AVMgCgcB5FCtxl4A0Xdbk7nq9gk6nd5rgK4rCln1n2DD3TTb++KapypIK2HpmyPxQcevOfZJTrKcrANi89yxp6U8C5t6CJJkv4qEoCht3n6L3iO9JsjJO03oVbc5BIBAUPorNhioYBLZDs5pZjq3edgydXkGWJLq1q4u7q0ueCndoZZlnujbOUWXIHmuQXgWtahBke/PHKEp6GUEVdBgqHWUPMDUKvKpmPB00eupTu8rmpekKxowlEAicS7ESdz2GotOZfd1LlfDmidd/AGBYvzZ8NeGZXPnDSxjs27Jkvnyco88F5cuUwEUr2xTX5g2qZPk5TTGMby7+SJIyNpWLhP+rQCCwSLExy1iyurR9tAajBj0GwJfjBwCOpytwkcFNa1gxW7rUUUcdWZZNaQgsIQFT3nwix3GdHRl7X7fT775n+/zJGy8QCPKXYhPEpKoGLxVzqKrKsbPXaFynksPjGgw4Cml6FY1GRkVCI6ULPRlibwz1t9qXZEgwZkSn09Gg36dcvnnXbPuvxw9k2JNtzJ5zy1aAesXfR5i34h8Sk1JpUDOEKaN6U7XrB6RaCV+tEByAl4croTcikSSJejXKMf3tfrRu5FgKBEH+IoKYBOYoNuIO5gtl54XomHg8PNxwc3XJctxo1pElw6reKLKWXB6NZBdkMGx8Tp65lvkr9xIdl4gsyzR4pDyfvf0kLbKZZMz1dSMsipbPzuBeTEKONs/2aGrRj91Yv9Ucw59uS+sm1fB0d6F0SV8SklIJKV1CVBx6QAhxF5ijWIm7rVB8R9Dp9Wg1tjdeM6/GVdWw+ZndjC5jaGOPNcjoH28LNw2oqkK5Du8RHZdksd3k13qy6/BF9hy9hF6v4O7mQt3qZTl02vGSeS0aVOaLcU/xaB3hYVOQCHEXmKNYbahqZVtJtBzoyw5hh6weMJIE2vRNTRWD2FvagLWERjJ4xVidW/rTwrw/9lgVdoDZy3dzbdu0LMdqdJ9o/4QyceDEFToM+ZI2j1anUtlSuGg1dGxenf6PN85VfwKBIPcUK3F/EKl/wSDkmYeWjIFFuZiPJBnE29LqXSLDI2b+yr02+4uIiuODb1fx2eh+pmM379x3fGJA1QpB/PDhc7TMZJNPTErhi5+38uTjDahSXphtBIKCoth4y4BjK2RnklvDl9EvPXv+Ga2cbsvP1l6T7s9ufJ+2UhMY+XrRNga/tyB3k0wnpHQJ/p7/Nk3rVc5y3NPDjZHPd2LbwYtERsXlaQyBQGA/xUrcAVwfwDt29InBmFjMWC0pcz4ao8hr0t0v3TQZr+x2+8oh9q+U/9h8lEOnrwIQHOjn2ISB0UM74+ftYTYATJYkBj/Rit//PuJwvwKBIHcUO3GXZYPAF8QiXlFUqzZ1fabEYTrFEG1qzEFjzuyiSy+8kXkVb7Tlmxtj6picPvDW+PC71QCMe7GrQ9dpNDLP9mphNbI3Tae3K0pXIBA4B4fEfdq0aTRt2hQfHx+CgoLo27cv58+fN52/evUqkiSZfa1YscJq3+fOnaNPnz74+fnh5eVF06ZNuX49fzISyplWvS4WTBx5QVVVg7Cn950dRTG4ZaYpGWYXnQKpiiEAyZoGGtvbQ91q5Xiqi/2bmZdvRKKq8OJT7ejRvp7d13l5uOHpbr2alASU8PWyu0+BQJA3HBL3Xbt2MXLkSA4cOMCWLVtIS0ujS5cuJCQYfKjLly9PWFhYlteUKVPw9vame/fuFvsNDQ2lTZs21KxZk507d3Ly5EkmTpyIu7t73t6dDYwrXr3iPBdJVVVJ0+m5E3kfN41kxm/dIOKWsCO41JBLxk5+nfEiowd3squtm6vWdPNY8uVwZk4ahDZ7ohozJCSlkJRs3b6vAok22ggEAueRJz/3yMhIgoKC2LVrF+3amQ9nb9SoEY0bN2b+/PkW+xk4cCAuLi78+uuvuZ2Kw76+xtzqznTyV1WVPUcuUL96MKVLmp9Dmt4xcTaHhOHJwxGqdv2A2xE5i3JkZsIr3Xjv1V5ZPpMrNyJo3P9jm/1/PX4gg59oadU0s3LTQQb1ambvlAV2IvzcBebIk809JsYgFgEBAWbPHzlyhOPHj/PSSy9Z7ENRFNavX0+NGjXo2rUrQUFBNG/enL/++svq2CkpKcTGxmZ52Ut+CLsEuGkkOrd4xKKwQ96F3RqKonDivxscPHWV1NSs3vAfj+pj9Vo3Vy3vvdQtx2dSuXwQK757zebY3yz8m9j4JHRmEtsoisrqbUfp16mhzX4EAoFzyLW4K4rC6NGjad26NXXr1jXbZv78+dSqVYtWrVpZ7CciIoL4+HimT59Ot27d2Lx5M/369aN///7s2rXL4nXTpk3Dz8/P9Cpfvrz9c1edK+yu6TZ8uYC2p7NbShRF4fWPl1CixRhaPDuD9kO+xL/FGHq9NtPkDjmod3PefamL2f483FzYtegdU8Wo7Dzeqg73/v2eSSP7EFK6BLIZ958b4ffp9vI3HDuXdZ8kKTmV1duO0q1VLTw9rNvlBQKB88i1Wea1115j48aN7Nmzh5CQkBznk5KSCA4OZuLEibzzzjsW+7l9+zblypXj2WefZenSpabjffr0wcvLi99++83sdSkpKaSkpJh+jo2NpXz58nY9mjrDNAKGaFNHU787IwVC9hw0HYd+xYET5svx+Xq7c23LVNzTNzzDIqMZ//UqTp6/iaurloHdm/LW4MdMRUXsmV9cfCIffvsnyzYcIjUt50q9dtWy1KoaTFJKGi3qV2Lci+ZvKgLnIMwyAnPkKkJ11KhRrFu3jt27d5sVdoA//viDxMREhgwZYrWvUqVKodVqqV27dpbjtWrVYs+ePRavc3Nzw83NzfHJk3dxlTGsnu3Ya8yBxkp0qREJ83OUyOnLvuLvIxaFHSA2Ppm6T3zMpb8/BSA40J9F04ZZbG9PioZSfp7M/eh5pr/dn/NXwpEk2HbgP378fQ937sVyNvQ27m5axg7rbDNtsUAgyB8cEndVVXnjjTdYtWoVO3fupHLlyhbbzp8/nz59+hAYaD2QxtXVlaZNm2ZxqQS4cOECFSvmTwKq3Lo9OpLgyxL25IYxZpLM7PYoS+bz0Ez7caPNMW9FRPP+t6uYminFgMX5yYYbi6UbUOYI2BK+nqbMlM3rV+G9l7oRERWHq4uGkv7eNscSCAT5h0Nrz5EjR7J48WKWLl2Kj48P4eHhhIeHk5SUNTnVpUuX2L17Ny+//LLZfmrWrMmqVatMP48bN47ly5czb948Ll26xMyZM1m7di2vv/56Lt6SbbQOrrglDHZ1V23eUxhIkqEvS1GrrrLBdi+l54R3SY88tVQI5OadaLvGnbv8H7vnqJUz6q5KZFSZcjNTizUzGo1McKCfEHaBoBDgkMzNnj2bmJgYOnToQHBwsOm1fPnyLO0WLFhASEgIXbqYt7WeP3/e5GkD0K9fP+bMmcPnn39OvXr1+Omnn1i5ciVt2pgvRJFXjMm37GqL+c1SS3lf7EFOF09X2TAPbXrUrHsuNmXdLGyCZicxOZXQG5H2zzE9T42b1vDSWri5CASCwkmRz+euKApzf/+HBSv3Ep+UQuVypfjkrSdoUrsCesW2fTl7wWmLOdmzFeYoKF6bsoSFf+23q+3B5ROoV6NcPs9IUNCIDVWBOYq0uN8Ii6LpgGnExOfMad67Y31+//pVg1groMv2KRhNEdk3Ta152khktUnnBp1Ox7w/9nLucjjlgvx4Y9BjVl0Io6LjCXlsvM2nB1mSuH/gG4vujoKHFyHuAnMUaXEv3/E97kbnLC9nZNRzHfhi3FNAhpkFMvKt50gdYEcdVKOZJTfM+GkTn87ZkKW8nSTB871b8OOU5y1et3H3afq/Ncdq351a1GTd7FG5m5gdnL8Szoq/jxAVk0ilciV5tkdTAgN88m08QQZC3AXmKLLi/ueWYwx613LKAzDYq6P2f23y8baFLf/4G+FRTPjyD7YfOEeqTo+PpxvP927OZ2/1tbli/vaXrUz45i+L5wf2eJSfPxua5ZiiKKz4+yi3I6L573IYv6z51+y1JXw9ubDxY7w9nZ+rJzVNx4gpS/ht/SE0GhlZktDrFWSNxNTR/XhjUEenjynIihB3gTmKrLh3e+V7dh2+YPO6bT+/TauGlgtNZyZVZzlj48GTl+nx6rfozeS1Lenvxdm1H+Hr7WH2WkVRCGj5Nimp1p0kb+2YTkC6J8p7X/3J/37bmWWV7+nuio+nO3eiDKkYXF009OnYgNmTn8sXYQd4/eOlLPprP4qFr9GCT4fwbE+RTyY/EeIuMEeRzeeelGJfBsKY2ET7O7ViS+83cqZZYQe4F51Ar9dmWbx2zY4TNoUdYMb8zYBhE/X7xduzCDsYPGLuRMWy7KuXSTo2k5iD3/HrjBedLux6vYJOp+fmnfssWm1Z2AE+mb2eIrJ+EAgeKors7lrj2hU4eOqqzXYN6lRCVe3bBNVI5nOpL117wGY620Onr3L3fjylSuT0Ab903T4XxethUURExdr0jhn5yW888VhDu/q0B0VR2P7veX5c8Q9HzlwzZZcMKe2PaiO5/JVb9zhz6TZ1qwsvHYGgICmyK/cpo3rbFOza1coS4Odtd54ZY1BPdlZvP2bX9et3nzJ7vHrFILuur1Q2gE9n245IvRedwJGzzil0cu32PR59eiq9X5/F2h0ns6QNvnkn2q5UDnEJKbYbCQQCp1Jkxd3X24OPRva2eN7VRctvXw8H0ot12KFSUnpgT/YPTbbT99FSu94d6uNuR4L2917uxiU7A5FOXbhlVztrJCal0vWV7zh/9U6u+9DIElUr2F/LVSAQOIciK+4A777UlXmfvJCl4LMkQfMGVTi6ajIVgksCjiUSkyRDGgJXTYbbY387k2P1bGc+NbIsy3z8hvV868/3bo6/ryeBAfaF9lcoYz7HviOs+PsI125Hodhb1y8bGo1Mn8caECRcIgWCAqfI2tyNPNO9KU91a0p8YjL3YxMJLuWLVpu3t21c5Rv/fa5Xc8ZM/52EJMvmhxYNKps8XczxxqDH0OkUJs9cS1qmgheyJDG0X0tmTXwOgHdf7s7vGw9bnZ+Huysdmz9i57uxzMotR5ElyeqGqSW0GpmS/t7MeOfJPM9DIBA4TpEXd1ky+KZ7e7pb9BpxJKDUXBUnvQqrZ79Bt5e+zuHBAhAY4M3a/4202feYFx7nrcGPsfCv/Zy5dJvyZUowYkA7Uy52gJqVStOyYVX2Hw+12M/4l7s7JQ1CXHyy3cLu5qolNU2Hqhr+P6hXM94f3oNyQf55n4hAIHCYYiHutrCUcTE71srzNalTidPrPuX9r1fw954zpKTq8PX2YGi/lkx+rZfdYf+yLPNi/9YWzx86eZnrYffMnpMkiTFDO/POsM52jWWLOtXLcvjMNbM3rMxoNTIvPdmGia/1ICYuicASPqLqkkDwgCmyQUyZsZY2QCPZn/HQnkRjGsmQojc/OHjqKh1e+Mqi3/izPZsxd8oQp41/7NwNWj03w2obSTJsTh/+/X2q2en1I3AuIohJYI4ivaFqRJYMuci1ckZ+cmNKW0eKb9jjMmmtjaIo/LXtGJ/P/5s/txxDUWzcKbLxwoSfrQYE/bb+IHejoh3q04iqqvx78grjvlzJK5N+ZdqPGwkM8OadodafAjzdXfnzuxFC2AWCQkaxWLk7C2vpBzKTvcYpwPe/bmPyzLUkZ4pEdXPVMnFET7vMKDfCoqjRY5LNdoN6NeOnT6yXNsxOQlIKz42bz+a9Z9Gmp8FUVRVFhY/f6E2ArxefzllP2F1DWgOtRqZ6xSCG9WvNkCda4OdjPq2CoGAQK3eBOYq8zd2ZSJaKm2ZuQ05h/+rnLXz4/eocbVNSdXz4/WouXL1D5ZBSBAZ4M7h3C7P2+ZPnb9o1x4vXIuxqpygKd6Pj8fZw55VJv7Jt/zmAHPb1id+vwcfbnbj4ZNP71+sVrty6R7WKgULYBYJCihB3B9DIoLeR8jd7/ndFUZjyv7VWr/llzQHT/9+cupznejZj3seDs7QpW9rfrjn6+XhaPR8dm8iQCQvZfuAcejv91+Pik4GsgV4pqWk88/Y8/l02nlpVg+3qRyAQFBzFwubuLGQJkpKSefH9BZRuNZoSTUcR0HQUrQdOZc/hC0gYNlQz8/OqfaRZqjZtBkVRWbz2X54anTU/e6NaFfD2dLN5/dhhj1s8Fx2bSI0eE9my76zdwm4JVTWYbmb9tjNP/QgEgvxBiLsDRMcmUqvHh6zacpTUNIPtXAXOht6m92vfs2T13hwmmbOhYbkaa/2u01y6doc9Ry7Sd9T/6Dj0K2pWLmP1mmoVAmn3aA2L558bN9+peV50eoU12084rT+BQOA8hFnGDIqiMPu3Xfyx5Sg6vUK7R6szcXgPnnxrLjHpJgpzvPHZMgb2aJrFx7t8mRK5nkeLZ2eQkGRf6uIalYLYu+Rdi+d1Oh27DtnOb+8o9qQqFggEBY8Q92wcOn2VLi9/R3JKmunY4dPX+PaXbTZzrCiqyiez1zHt7f6mYyMGtOODb1fnKoTfmrA3rVsRT3c3fH3cGTusC83qVbLa1+Wb93I1B2toZImGtco7tU+BQOAchLhnIio6nseGfY3OjI3c3uRZe49dzvKzu7srw/q3Yv7KvU6Zo5EzoWHc2/e13e0tVYGyhixLVt+3XlF5bWB7h/sVCAT5T7G3ue85cpHlGw9z6dodPvx+tVlhdwQXbc7w0JkfPsuQJ1rkqd/sJCal2lWMxEiZUr74eduuyGTcM/Dz9uCtwZ2YMsqQNlmTqc6sMXXxi/1b8cRjDeyftEAgKDCK7cp96twNfPnzFpIymV+ckWzrmR5NzB6f+9HzzHi7P58v+Jv4xFRUVWX19hNERsX9v707j4riyvcA/q1qoAVEZGtZbBH35fli0jGYDMkRJA0aRYyJ0WjUDOJEkfjG+AiQBXlucTSjIRpjYuI6RsWEOCqRyUQIuMQFRQUCCiOGTURkE5Cl+74/0Ia2N1aB6t/nnD4eqm7dulWn/fXt27d+t83nKrhTCmBgi8svX/AyIrbonpZpLjZFfsIneFCnQB/LXhA9nNf5zKgB2LT730g4fx1KxvDfw12w9E1PvDnlOXAdcdMIIR3OKJ9QXb7+ELYdSOzwNpiZiNDf0QZ3S+/D0kKMWZOfxcfvvKLK6qhQAjV1DaqUw0qlEnGn0hAR9SNu3GpaEMPBtjeK7903eL6M45FwdbZrVRsDP96LfUfPaWzvJTZB4p7/xZhhupfDUyqVYAyqoE+6B3pClWhjdMH9bul9SL1C23wejuNateCzhbkZLkaHY4CTPeoUDEolUwuODQ0KVD+ow8tvb8T1hyseTfd6CjEGphi6Otsi4/j/tekarl3PR/imGNz44w7EZqZ4w1eGkAB5u/Pck65BwZ1oY3TB/d01B/D14VNtPo+LpC+KSipUj+n3EpvAxspClXdFG2cHa6TFroFSycBryUHc0KBA4sXrmBG8FUBjCoPxY91wNuWm1vp4jkP87vcMzpARijOXs/D+32NwNTMPSiWD1MkGYYGTMHeqOw0LgYI70c7ovl9n3LzdruPz75Sp5V95UNugN7ADwNhRrgCgNbADgImJCF7jR6J/v8Y58QzArYJ7+OidyRp50V2dbZGwx3gC+/odJzDxz5txMfUW6uoVaFAocTOvBIsi9mF68LZWfYsixJgY3ffwvn305155pPk0QI5rXERDYWDRCl3c+ttDoVSqzTjRZoCzLfKKSgEABXfKMWeqO8L/Mhnnr+WgsLgMY0dIWz3G3pNdu5GPlVuP6dwfdzodn+07if95a+ITbBUhPYPRBfcVb8txNP6q3jLmvUxx9/Sn+O1qDurq6nH33n28Fbazzecsq6hWTR/Up7yyRut2Y+mlPy700x8Mlvn7rn9TcCdEC6MblnluzECMGqw/R8uKBS+D53m8MHYQJjw3HD+dSm3XOWMTr+l9OlSpZLhxqwhpWQWqbS6SvqphmsddzymC/9IvMNA7DIPkH2Be6E4UFpe1q43d0aX0PwyWKb5XSUMzhGhhdMEdAJL2hugM8O+88RLC/zJZbRtvYDjFkJqaWpjy2mfZMNb4I+uqrU3zzzkAwXM9tU45XPXlcTw1fRXiTqejqKQShcXliI5LxmD5h9jbLHVwT8VY47KISgaIzUy7ujmE9FhGNywDNE5PTD78IS6k5mDDt/9qTIU7sB9WBk2FvU1vjfJv+blrnRveEhzH4dCmRTAVceCUQP3DcXuFksFExKOquhYhG6NxND4FHNcY3GZNHofgOZ4adZ1ISsXa7T9pPQ8DsChiHy6m5uBowjVUVNXAxsoCATM8sOJt72Zz64F2flZ1GoUSaFA2rYeScmQldsWcxrovj6OiSnvCNomtFc2YIUQLo5sK2Vau3mG4U6L7adLRQ5wweIADfkpMQ32DAjzP4bkxAxEVPkvtwSDGgIqqWvxyLgOX0m7h6MkUVD2og4jnMHqICwJf94Cvx2itAUv22po2pRB+8dkh+HFLMHhRU2oEDoAp330CfcPDwK6xXaHA79mFmBy4CferNdMVf/LX6Vg2z7jH3GkqJNGGgnsLZecWY9zMtah5UK+xz76vJdKOrmxTcq7WsHwmuNWZHV+UDUPMF0vBc5zWDwyzbhDglQyo07PClUKhxPodsdiw44Tadl+P0Yj5fHEnt677o+BOtOkm/bbub7DUAX/8sg6LZr4IW2tLiM1M0M/OCqELfZAdt6bTAzsAMEMLuGqx/9NFOgM7YwxFpVVYvv4QyiqqO6KJbWJohqlIxOOdNybARMRDJOIx0NkWX0bMocBOiB7Uc+9B+nu+j5KyqhaXn+Y1FrvWL9RbhjGGl/+8Ecmpt/DuXC+sf+9VveU7Q52isfduiFjUMcndhMYY3vuk9ajn3oMsfqN1udMnvjDKYBmO4+Dzp/8CAETtO4m/fRPXpra1B8VrQjoeBfceJGyRL54a3r/F5Vu6BF7ztMfrd3RscL9beh+LI/8Bjzl/g3zhZhz+V7JGGR1ZGTTKUK+dkJaj4N6D8DyPM/tDEDzXE70txKrtdn0tYS7WnBP+zeEkgw/4MMaw98gZ1d/VD+pw+nKW3mMSL17HJ1+fwJcHE/Hgge6lAD+KOgKpVyh2/XgWyel/ICk5C2+9vxNSr1C1h654znDv3YTeqYS0Co2592BKZeMvkTzPIzn9D0yYt1EtqRkA/HboQwwb2E/nD6rnr/4Hvgs3qW3f88nbeN1Hc9GRn8+kY17YTpRVNKVJ4DgOr8mfwa6189Ue9voqOhHL1h7S2XY7a0vkJaxv1hagXgFo+23VlAcohbxuxvjeJ4bRf5kejOd5VUCVjRqAq0c+hvf4ETB5GAlNTUTYsOO4qvf++L+38u/Cb8nnGvVqG/o5lXwD04K+UAvsj+qKjkuGX9AXatsjtx7X2/aS8iq1J2o5DjAzAcxEjb10EdcY1MUiCuyEtEWr/tusW7cO48aNg5WVFSQSCfz9/ZGZmanan5OTA+7htLvHX9HR0TrrXbBggUZ5X1/ftl+VkXJzscfRbUtReTEKNZe3oOLCZ9i3PgC9THiY8I09/TslFcj4z20ERe7F09MjUffYuLyzxBrDBvbTqDswYp/eiZi//JaBa9fzAQCFxWW4V254Vs/2Q0ka23iuMbibPgzqNM5OSNu0Kv3Ar7/+iqCgIIwbNw4NDQ0IDw+HXC5Heno6LC0tIZVKUVio/gTlV199hQ0bNmDSpEl66/b19cXOnU2ZF8VisZ7SpDV4vvFT3EQsQtiOWJ2LlXAcsHPNfI3tt+9WICe/xOB5Irb8Ez9ELcbd0pZN16yqfoD6+gZs2Z+Aazfy4WBrheXzvdHPjoYWCGmvVgX3EyfUnxDctWsXJBIJkpOT8dJLL0EkEsHRUT0hV0xMDGbOnInevTVztjQnFos1jiUdL+qDWbDra4lNe35Rm03jaN8Hu9ctwEvPDtM4JqvZ+q765BWVAWh84KslGANsxi+HQtk00h619yR8/jQKP0S90+6EbYQYs3YlDisvLwcA2Nraat2fnJyMlJQUbN261WBdCQkJkEgksLGxgZeXF1avXg07O90LU9TW1qK2tinXSEWF/tWQSJOIoKn4aPEriD+XiYLicshGu2LUYCed5Vu6QIh938YPcAtzMzwzSopL6bl6y2fmaP/QiDudjlcWb8FP299t0XkJIZraPFtGqVTCz88PZWVlOHVK+9f8JUuWICEhAenp6XrrOnDgACwsLODm5obs7GyEh4ejd+/eOHv2LETNkl01t3LlSkRGRmpspxkDnWOgdxiK9CROA4C4r99V9fxv5t/FU/6rUN+gPWmMiYjXmNnzuNR/RrT4W4Axo9kyRJs2f+8NCgpCamoqDhw4oHV/TU0N9u/fj4CAAIN1zZo1C35+fhgzZgz8/f1x7NgxXLhwAQkJCTqPCQsLQ3l5ueqVm6u/l0jaZ2PIa3r3jxrspDak4+Zijys/foQxQ13Uyln0MsObr4wzGNgBYM322LY1lhDStmGZpUuX4tixY0hMTET//tqfmDx8+DCqq6sxb968Vtc/aNAg2NvbIysrCxMnak/nKhaL6UfXJ+g1uQyl5TVYvv6QRmB+drQrfvn2rxrHuLnY4/yhMNwru4/Lv+fCtq8lnh45ALt/PIv9xy8YPOftYhpqI6StWhXcGWMIDg5GTEwMEhIS4ObmprPsN998Az8/Pzg4tP5rdV5eHkpKSuDkpHscmDx5ga97IGDGC9j6XQIupt6CdW9zLJs30eDQiW3f3pj4/EjV3/rG95tzddH+Ww4hxLBWBfegoCDs378fR44cgZWVFW7fvg0AsLa2hrl5U8rbrKwsJCYmIjZW+9fqESNGYN26dZg+fTru37+PyMhIzJgxA46OjsjOzkZISAiGDBkCHx+fdlwa6Qw8zyN4jle76hg3ZiD6WpmjTMeC4I98vHhKu85DiDFr1Zj7tm3bUF5ejgkTJsDJyUn1OnjwoFq5b7/9Fv3794dcLtdaT2ZmpmqmjUgkwtWrV+Hn54dhw4YhICAAMpkMSUlJNOwiYJvDZurd/7qPDE4O1k+oNYQID+WWIV3mH8fO4901B1DdLPkYz3NY4P88tn70Zhe2rGeh9z7RhoI76VKMMRxLuIpLv+fC0b4P3vZ/HmZmmhkuiW703ifaUHAnpIej9z7Rhp7vJoQQAaLgTgghAkTBnRBCBIiCOyGECBAFd0IIESAK7oQQIkAU3AkhRIAouBNCiABRcCeEEAFq1zJ73cmjB21puT1ibB695wXysDnpIIIJ7pWVjUvASaXSLm4JIV2jsrIS1taUSZM0EkxuGaVSiYKCAlhZWYHjuK5uTrdXUVEBqVSK3NxcykfyhHX0vWeMobKyEs7OzuB5GmkljQTTc+d5XueSf0S3Pn36UHDvIh1576nHTh5HH/OEECJAFNwJIUSAKLgbKbFYjIiICFrKsAvQvSdPgmB+UCWEENKEeu6EECJAFNwJIUSAKLgTQogAUXAnhBABouAuYNevX8e0adNgb2+PPn36wMPDA/Hx8ar9V65cwezZsyGVSmFubo6RI0fis88+a1Hdx48fh7u7O8zNzWFjYwN/f/9OuoqepzPvOwDU1tZi7Nix4DgOKSkpnXAFRAgE84Qq0TRlyhQMHToUJ0+ehLm5OTZv3owpU6YgOzsbjo6OSE5OhkQiwb59+yCVSnHmzBksWrQIIpEIS5cu1Vnv999/j8DAQKxduxZeXl5oaGhAamrqE7yy7q2z7vsjISEhcHZ2xpUrV57A1ZAeixFBKi4uZgBYYmKialtFRQUDwH7++Wedxy1ZsoR5enrq3F9fX89cXFzYjh07OrS9QtFZ9/2R2NhYNmLECJaWlsYAsMuXL3dEs4kA0bCMQNnZ2WH48OHYs2cPqqqq0NDQgO3bt0MikUAmk+k8rry8HLa2tjr3X7p0Cfn5+eB5Hk8//TScnJwwadIk6rk/1Fn3HQCKiooQGBiIvXv3wsLCoqObToSmqz9dSOfJzc1lMpmMcRzHRCIRc3JyYpcuXdJZ/vTp08zExITFxcXpLPPdd98xAGzAgAHs8OHD7OLFi2z27NnMzs6OlZSUdMZl9Didcd+VSiXz9fVlq1atYowxdvPmTeq5E72o597DhIaGguM4va+MjAwwxhAUFASJRIKkpCScP38e/v7+mDp1KgoLCzXqTU1NxbRp0xAREQG5XK7z/EqlEgDwwQcfYMaMGZDJZNi5cyc4jkN0dHSnXXdX6+r7/vnnn6OyshJhYWGdeZlEQCj9QA9TXFyMkpISvWUGDRqEpKQkyOVylJaWqqWVHTp0KAICAhAaGqralp6eDk9PTyxcuBBr1qzRW3d8fDy8vLyQlJQEDw8P1XZ3d3d4e3sbPL6n6ur77u/vj6NHj6qtVaBQKCASiTBnzhzs3r27jVdGhIpmy/QwDg4OcHBwMFiuuroaADQWb+B5XtX7BoC0tDR4eXlh/vz5LQrMMpkMYrEYmZmZquBeX1+PnJwcuLq6tuZSepSuvu9RUVFYvXq16u+CggL4+Pjg4MGDcHd3b+llEGPStaNCpLMUFxczOzs79uqrr7KUlBSWmZnJVqxYwUxNTVlKSgpjjLFr164xBwcHNnfuXFZYWKh63blzR1XPuXPn2PDhw1leXp5q27Jly5iLiwuLi4tjGRkZLCAggEkkEnbv3r0nfp3dTWfe9+ZozJ0YQsFdwC5cuMDkcjmztbVlVlZWbPz48Sw2Nla1PyIiggHQeLm6uqrKxMfHMwDs5s2bqm11dXXsvffeYxKJhFlZWTFvb2+Wmpr6BK+se+us+94cBXdiCI25E0KIANFsGUIIESAK7oQQIkAU3AkhRIAouBNCiABRcCeEEAGi4E4IIQJEwZ0QQgSIgjshhAgQBXdCCBEgCu6EECJAFNwJIUSAKLgTQogA/T/pnOZ2gbvwFgAAAABJRU5ErkJggg==", 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" ] @@ -2158,7 +2289,14 @@ { "cell_type": "code", "execution_count": 31, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:01:50.552979Z", + "iopub.status.busy": "2024-08-16T21:01:50.552787Z", + "iopub.status.idle": "2024-08-16T21:01:51.301386Z", + "shell.execute_reply": "2024-08-16T21:01:51.300762Z" + } + }, "outputs": [ { "data": { @@ -2172,7 +2310,7 @@ }, { "data": { - "image/png": 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", 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" ] @@ -2204,38 +2342,37 @@ { "cell_type": "code", "execution_count": 32, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:01:51.303761Z", + "iopub.status.busy": "2024-08-16T21:01:51.303417Z", + "iopub.status.idle": "2024-08-16T21:01:58.092252Z", + "shell.execute_reply": "2024-08-16T21:01:58.091714Z" + } + }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ "-Usable results-\n", - "count 296229.000000\n", - "mean 25.304630\n", - "std 80.410479\n", - "min 0.000000\n", + "count 300062.000000\n", + "mean 25.306539\n", + "std 79.896745\n", + "min -2.900000\n", "25% 21.200000\n", "50% 25.900000\n", "75% 29.200000\n", "max 43696.000000\n", "dtype: float64\n", - "Unusable results: 112\n", + "Unusable results: 153\n", "Usable results with inferred units: 0\n", - "Results outside threshold (0.0 to 507.7675019927092): 1\n" + "Results outside threshold (0.0 to 504.6870062954504): 2\n" ] }, { "data": { - "image/png": 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", "text/plain": [ "
" ] @@ -2253,7 +2390,14 @@ { "cell_type": "code", "execution_count": 33, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:01:58.094423Z", + "iopub.status.busy": "2024-08-16T21:01:58.094232Z", + "iopub.status.idle": "2024-08-16T21:01:58.404693Z", + "shell.execute_reply": "2024-08-16T21:01:58.404125Z" + } + }, "outputs": [ { "data": { @@ -2340,7 +2484,7 @@ " ...\n", " \n", " \n", - " 1443514\n", + " 1465632\n", " USGS-273217082335701\n", " 28.9\n", " deg C\n", @@ -2349,7 +2493,7 @@ " degC\n", " \n", " \n", - " 1443517\n", + " 1465635\n", " USGS-274322082245501\n", " 24.4\n", " deg C\n", @@ -2358,7 +2502,7 @@ " degC\n", " \n", " \n", - " 1443522\n", + " 1465640\n", " USGS-274302082280801\n", " 25.0\n", " deg C\n", @@ -2367,7 +2511,7 @@ " degC\n", " \n", " \n", - " 1443525\n", + " 1465643\n", " USGS-273926082304501\n", " 25.7\n", " deg C\n", @@ -2376,7 +2520,7 @@ " degC\n", " \n", " \n", - " 1443528\n", + " 1465646\n", " USGS-274455082253601\n", " 26.1\n", " deg C\n", @@ -2386,7 +2530,7 @@ " \n", " \n", "\n", - "

296341 rows × 6 columns

\n", + "

300215 rows × 6 columns

\n", "" ], "text/plain": [ @@ -2397,11 +2541,11 @@ "27 21FLTBW_WQX-NAB 30.67 \n", "28 21FLTBW_WQX-DISM 26.5 \n", "... ... ... \n", - "1443514 USGS-273217082335701 28.9 \n", - "1443517 USGS-274322082245501 24.4 \n", - "1443522 USGS-274302082280801 25.0 \n", - "1443525 USGS-273926082304501 25.7 \n", - "1443528 USGS-274455082253601 26.1 \n", + "1465632 USGS-273217082335701 28.9 \n", + "1465635 USGS-274322082245501 24.4 \n", + "1465640 USGS-274302082280801 25.0 \n", + "1465643 USGS-273926082304501 25.7 \n", + "1465646 USGS-274455082253601 26.1 \n", "\n", " ResultMeasure/MeasureUnitCode QA_flag Temperature Units \n", "2 deg C NaN 28.19 degree_Celsius degC \n", @@ -2410,13 +2554,13 @@ "27 deg C NaN 30.67 degree_Celsius degC \n", "28 deg C NaN 26.5 degree_Celsius degC \n", "... ... ... ... ... \n", - "1443514 deg C NaN 28.9 degree_Celsius degC \n", - "1443517 deg C NaN 24.4 degree_Celsius degC \n", - "1443522 deg C NaN 25.0 degree_Celsius degC \n", - "1443525 deg C NaN 25.7 degree_Celsius degC \n", - "1443528 deg C NaN 26.1 degree_Celsius degC \n", + "1465632 deg C NaN 28.9 degree_Celsius degC \n", + "1465635 deg C NaN 24.4 degree_Celsius degC \n", + "1465640 deg C NaN 25.0 degree_Celsius degC \n", + "1465643 deg C NaN 25.7 degree_Celsius degC \n", + "1465646 deg C NaN 26.1 degree_Celsius degC \n", "\n", - "[296341 rows x 6 columns]" + "[300215 rows x 6 columns]" ] }, "execution_count": 33, @@ -2441,7 +2585,14 @@ { "cell_type": "code", "execution_count": 34, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:01:58.407019Z", + "iopub.status.busy": "2024-08-16T21:01:58.406829Z", + "iopub.status.idle": "2024-08-16T21:01:58.454919Z", + "shell.execute_reply": "2024-08-16T21:01:58.454384Z" + } + }, "outputs": [ { "data": { @@ -2474,7 +2625,7 @@ " \n", " \n", " \n", - " 739068\n", + " 739159\n", " 21FLPDEM_WQX-19-13\n", " Not Reported\n", " NaN\n", @@ -2483,7 +2634,7 @@ " degC\n", " \n", " \n", - " 739932\n", + " 740044\n", " 21FLPDEM_WQX-24-07\n", " Not Reported\n", " NaN\n", @@ -2492,7 +2643,7 @@ " degC\n", " \n", " \n", - " 741288\n", + " 741438\n", " 21FLPDEM_WQX-12-04\n", " Not Reported\n", " NaN\n", @@ -2501,7 +2652,7 @@ " degC\n", " \n", " \n", - " 746371\n", + " 746608\n", " 21FLPDEM_WQX-23-08\n", " Not Reported\n", " NaN\n", @@ -2510,7 +2661,7 @@ " degC\n", " \n", " \n", - " 752362\n", + " 752640\n", " 21FLPDEM_WQX-04-04\n", " Not Reported\n", " NaN\n", @@ -2528,7 +2679,7 @@ " ...\n", " \n", " \n", - " 890050\n", + " 892842\n", " 21FLPDEM_WQX-35-01\n", " Not Reported\n", " NaN\n", @@ -2537,7 +2688,7 @@ " degC\n", " \n", " \n", - " 894075\n", + " 896988\n", " 21FLPDEM_WQX-23-08\n", " Not Reported\n", " NaN\n", @@ -2546,7 +2697,7 @@ " degC\n", " \n", " \n", - " 1338441\n", + " 1349634\n", " USGS-280228082343000\n", " NaN\n", " NaN\n", @@ -2555,7 +2706,7 @@ " degC\n", " \n", " \n", - " 1404938\n", + " 1434517\n", " USGS-02306028\n", " NaN\n", " NaN\n", @@ -2564,7 +2715,7 @@ " degC\n", " \n", " \n", - " 1405221\n", + " 1434800\n", " USGS-02306028\n", " NaN\n", " NaN\n", @@ -2574,50 +2725,50 @@ " \n", " \n", "\n", - "

86 rows × 6 columns

\n", + "

87 rows × 6 columns

\n", "" ], "text/plain": [ " MonitoringLocationIdentifier ResultMeasureValue \\\n", - "739068 21FLPDEM_WQX-19-13 Not Reported \n", - "739932 21FLPDEM_WQX-24-07 Not Reported \n", - "741288 21FLPDEM_WQX-12-04 Not Reported \n", - "746371 21FLPDEM_WQX-23-08 Not Reported \n", - "752362 21FLPDEM_WQX-04-04 Not Reported \n", + "739159 21FLPDEM_WQX-19-13 Not Reported \n", + "740044 21FLPDEM_WQX-24-07 Not Reported \n", + "741438 21FLPDEM_WQX-12-04 Not Reported \n", + "746608 21FLPDEM_WQX-23-08 Not Reported \n", + "752640 21FLPDEM_WQX-04-04 Not Reported \n", "... ... ... \n", - "890050 21FLPDEM_WQX-35-01 Not Reported \n", - "894075 21FLPDEM_WQX-23-08 Not Reported \n", - "1338441 USGS-280228082343000 NaN \n", - "1404938 USGS-02306028 NaN \n", - "1405221 USGS-02306028 NaN \n", + "892842 21FLPDEM_WQX-35-01 Not Reported \n", + "896988 21FLPDEM_WQX-23-08 Not Reported \n", + "1349634 USGS-280228082343000 NaN \n", + "1434517 USGS-02306028 NaN \n", + "1434800 USGS-02306028 NaN \n", "\n", " ResultMeasure/MeasureUnitCode \\\n", - "739068 NaN \n", - "739932 NaN \n", - "741288 NaN \n", - "746371 NaN \n", - "752362 NaN \n", + "739159 NaN \n", + "740044 NaN \n", + "741438 NaN \n", + "746608 NaN \n", + "752640 NaN \n", "... ... \n", - "890050 NaN \n", - "894075 NaN \n", - "1338441 NaN \n", - "1404938 NaN \n", - "1405221 NaN \n", + "892842 NaN \n", + "896988 NaN \n", + "1349634 NaN \n", + "1434517 NaN \n", + "1434800 NaN \n", "\n", " QA_flag Temperature Units \n", - "739068 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", - "739932 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", - "741288 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", - "746371 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", - "752362 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", + "739159 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", + "740044 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", + "741438 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", + "746608 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", + "752640 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", "... ... ... ... \n", - "890050 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", - "894075 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", - "1338441 ResultMeasureValue: missing (NaN) result; Resu... NaN degC \n", - "1404938 ResultMeasureValue: missing (NaN) result; Resu... NaN degC \n", - "1405221 ResultMeasureValue: missing (NaN) result; Resu... NaN degC \n", + "892842 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", + "896988 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", + "1349634 ResultMeasureValue: missing (NaN) result; Resu... NaN degC \n", + "1434517 ResultMeasureValue: missing (NaN) result; Resu... NaN degC \n", + "1434800 ResultMeasureValue: missing (NaN) result; Resu... NaN degC \n", "\n", - "[86 rows x 6 columns]" + "[87 rows x 6 columns]" ] }, "execution_count": 34, @@ -2640,7 +2791,14 @@ { "cell_type": "code", "execution_count": 35, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:01:58.456960Z", + "iopub.status.busy": "2024-08-16T21:01:58.456779Z", + "iopub.status.idle": "2024-08-16T21:01:58.499929Z", + "shell.execute_reply": "2024-08-16T21:01:58.499416Z" + } + }, "outputs": [ { "data": { @@ -2661,7 +2819,14 @@ { "cell_type": "code", "execution_count": 36, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:01:58.502115Z", + "iopub.status.busy": "2024-08-16T21:01:58.501823Z", + "iopub.status.idle": "2024-08-16T21:01:58.556318Z", + "shell.execute_reply": "2024-08-16T21:01:58.555684Z" + } + }, "outputs": [ { "data": { @@ -2694,7 +2859,7 @@ " \n", " \n", " \n", - " 739068\n", + " 739159\n", " 21FLPDEM_WQX-19-13\n", " Not Reported\n", " NaN\n", @@ -2703,7 +2868,7 @@ " degC\n", " \n", " \n", - " 739932\n", + " 740044\n", " 21FLPDEM_WQX-24-07\n", " Not Reported\n", " NaN\n", @@ -2712,7 +2877,7 @@ " degC\n", " \n", " \n", - " 741288\n", + " 741438\n", " 21FLPDEM_WQX-12-04\n", " Not Reported\n", " NaN\n", @@ -2721,7 +2886,7 @@ " degC\n", " \n", " \n", - " 746371\n", + " 746608\n", " 21FLPDEM_WQX-23-08\n", " Not Reported\n", " NaN\n", @@ -2730,7 +2895,7 @@ " degC\n", " \n", " \n", - " 752362\n", + " 752640\n", " 21FLPDEM_WQX-04-04\n", " Not Reported\n", " NaN\n", @@ -2748,8 +2913,8 @@ " ...\n", " \n", " \n", - " 1191742\n", - " 21FLPDEM_WQX-24-01\n", + " 1462409\n", + " 21FLPDEM_WQX-06-06\n", " Not Reported\n", " deg C\n", " ResultMeasureValue: \"Not Reported\" result cann...\n", @@ -2757,7 +2922,7 @@ " degC\n", " \n", " \n", - " 1193470\n", + " 1462433\n", " 21FLPDEM_WQX-12-02\n", " Not Reported\n", " deg C\n", @@ -2766,78 +2931,78 @@ " degC\n", " \n", " \n", - " 1338441\n", - " USGS-280228082343000\n", - " NaN\n", - " NaN\n", - " ResultMeasureValue: missing (NaN) result; Resu...\n", + " 1462440\n", + " 21FLPDEM_WQX-W7-D-23-08\n", + " Not Reported\n", + " deg C\n", + " ResultMeasureValue: \"Not Reported\" result cann...\n", " NaN\n", " degC\n", " \n", " \n", - " 1404938\n", - " USGS-02306028\n", - " NaN\n", - " NaN\n", - " ResultMeasureValue: missing (NaN) result; Resu...\n", + " 1462521\n", + " 21FLPDEM_WQX-12-06\n", + " Not Reported\n", + " deg C\n", + " ResultMeasureValue: \"Not Reported\" result cann...\n", " NaN\n", " degC\n", " \n", " \n", - " 1405221\n", - " USGS-02306028\n", - " NaN\n", - " NaN\n", - " ResultMeasureValue: missing (NaN) result; Resu...\n", + " 1462731\n", + " 21FLPDEM_WQX-22-12\n", + " Not Reported\n", + " deg C\n", + " ResultMeasureValue: \"Not Reported\" result cann...\n", " NaN\n", " degC\n", " \n", " \n", "\n", - "

112 rows × 6 columns

\n", + "

153 rows × 6 columns

\n", "" ], "text/plain": [ " MonitoringLocationIdentifier ResultMeasureValue \\\n", - "739068 21FLPDEM_WQX-19-13 Not Reported \n", - "739932 21FLPDEM_WQX-24-07 Not Reported \n", - "741288 21FLPDEM_WQX-12-04 Not Reported \n", - "746371 21FLPDEM_WQX-23-08 Not Reported \n", - "752362 21FLPDEM_WQX-04-04 Not Reported \n", + "739159 21FLPDEM_WQX-19-13 Not Reported \n", + "740044 21FLPDEM_WQX-24-07 Not Reported \n", + "741438 21FLPDEM_WQX-12-04 Not Reported \n", + "746608 21FLPDEM_WQX-23-08 Not Reported \n", + "752640 21FLPDEM_WQX-04-04 Not Reported \n", "... ... ... \n", - "1191742 21FLPDEM_WQX-24-01 Not Reported \n", - "1193470 21FLPDEM_WQX-12-02 Not Reported \n", - "1338441 USGS-280228082343000 NaN \n", - "1404938 USGS-02306028 NaN \n", - "1405221 USGS-02306028 NaN \n", + "1462409 21FLPDEM_WQX-06-06 Not Reported \n", + "1462433 21FLPDEM_WQX-12-02 Not Reported \n", + "1462440 21FLPDEM_WQX-W7-D-23-08 Not Reported \n", + "1462521 21FLPDEM_WQX-12-06 Not Reported \n", + "1462731 21FLPDEM_WQX-22-12 Not Reported \n", "\n", " ResultMeasure/MeasureUnitCode \\\n", - "739068 NaN \n", - "739932 NaN \n", - "741288 NaN \n", - "746371 NaN \n", - "752362 NaN \n", + "739159 NaN \n", + "740044 NaN \n", + "741438 NaN \n", + "746608 NaN \n", + "752640 NaN \n", "... ... \n", - "1191742 deg C \n", - "1193470 deg C \n", - "1338441 NaN \n", - "1404938 NaN \n", - "1405221 NaN \n", + "1462409 deg C \n", + "1462433 deg C \n", + "1462440 deg C \n", + "1462521 deg C \n", + "1462731 deg C \n", "\n", " QA_flag Temperature Units \n", - "739068 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", - "739932 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", - "741288 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", - "746371 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", - "752362 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", + "739159 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", + "740044 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", + "741438 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", + "746608 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", + "752640 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", "... ... ... ... \n", - "1191742 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", - "1193470 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", - "1338441 ResultMeasureValue: missing (NaN) result; Resu... NaN degC \n", - "1404938 ResultMeasureValue: missing (NaN) result; Resu... NaN degC \n", - "1405221 ResultMeasureValue: missing (NaN) result; Resu... NaN degC \n", + "1462409 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", + "1462433 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", + "1462440 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", + "1462521 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", + "1462731 ResultMeasureValue: \"Not Reported\" result cann... NaN degC \n", "\n", - "[112 rows x 6 columns]" + "[153 rows x 6 columns]" ] }, "execution_count": 36, @@ -2853,7 +3018,14 @@ { "cell_type": "code", "execution_count": 37, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:01:58.558710Z", + "iopub.status.busy": "2024-08-16T21:01:58.558362Z", + "iopub.status.idle": "2024-08-16T21:01:58.767311Z", + "shell.execute_reply": "2024-08-16T21:01:58.766769Z" + } + }, "outputs": [ { "data": { @@ -2919,38 +3091,38 @@ " ...\n", " \n", " \n", - " 14390\n", + " 14839\n", " USGS-280726082313300\n", " 4\n", " 28.025000\n", " \n", " \n", - " 14391\n", + " 14840\n", " USGS-280728082301101\n", " 54\n", " 25.083333\n", " \n", " \n", - " 14392\n", + " 14841\n", " USGS-280729082313501\n", " 1\n", " 27.400000\n", " \n", " \n", - " 14393\n", + " 14842\n", " USGS-280730082313201\n", " 1\n", " 24.700000\n", " \n", " \n", - " 14394\n", + " 14843\n", " USGS-280730082431800\n", " 11\n", " 22.018182\n", " \n", " \n", "\n", - "

14395 rows × 3 columns

\n", + "

14844 rows × 3 columns

\n", "" ], "text/plain": [ @@ -2961,13 +3133,13 @@ "3 21FLBRA-1541B-A 6 26.743333\n", "4 21FLBRA-1574-A 5 27.890000\n", "... ... ... ...\n", - "14390 USGS-280726082313300 4 28.025000\n", - "14391 USGS-280728082301101 54 25.083333\n", - "14392 USGS-280729082313501 1 27.400000\n", - "14393 USGS-280730082313201 1 24.700000\n", - "14394 USGS-280730082431800 11 22.018182\n", + "14839 USGS-280726082313300 4 28.025000\n", + "14840 USGS-280728082301101 54 25.083333\n", + "14841 USGS-280729082313501 1 27.400000\n", + "14842 USGS-280730082313201 1 24.700000\n", + "14843 USGS-280730082431800 11 22.018182\n", "\n", - "[14395 rows x 3 columns]" + "[14844 rows x 3 columns]" ] }, "execution_count": 37, @@ -2983,14 +3155,21 @@ { "cell_type": "code", "execution_count": 38, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:01:58.769684Z", + "iopub.status.busy": "2024-08-16T21:01:58.769233Z", + "iopub.status.idle": "2024-08-16T21:01:59.567248Z", + "shell.execute_reply": "2024-08-16T21:01:59.566625Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\mapclassify\\classifiers.py:257: UserWarning: Not enough unique values in array to form 5 classes. Setting k to 4.\n", - " warnings.warn(\n" + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/mapclassify/classifiers.py:1653: UserWarning: Not enough unique values in array to form 5 classes. Setting k to 4.\n", + " self.bins = quantile(y, k=k)\n" ] }, { @@ -3005,7 +3184,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -3023,7 +3202,14 @@ { "cell_type": "code", "execution_count": 39, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:01:59.569370Z", + "iopub.status.busy": "2024-08-16T21:01:59.569183Z", + "iopub.status.idle": "2024-08-16T21:02:00.489965Z", + "shell.execute_reply": "2024-08-16T21:02:00.489348Z" + } + }, "outputs": [ { "data": { @@ -3037,7 +3223,7 @@ }, { "data": { - "image/png": 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", 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pwwVmMQhVs79U+YfKHmyXOjQBqGinBMZ1C9ELUsorvHPGlNH2kv/d3/2d5RhtbW0AgEQigba2NkycOBE1NTVYtmwZent7DWMcPHgQixcvRlVVFRobG3Hbbbchk8lYXc4RvrYrFuGJQPI9GLVKfdM0F/RCEwTMmaQ+Z9I+00NAgMdpcsYGIrD0yLzP99ll9aWXXoIkZXtr7d+/H5/4xCfwj//4jwCAW265BU899RQ2b96Muro6tLe3Y+nSpfjDH/4AAJAkCYsXL0ZzczOef/55HDlyBCtWrEAwGMS9997rb+6Ulsf6bmBgAHV1dejv70csNkal04aOAkgjdynu8Barb7+g3LtkyWElrwhOIgBVTYXMlFNmjMb3X73G9lMmoKYA5+OgLOPSd9/Pe66rV6/Gli1b8Prrr2NgYACTJ0/Gpk2b8A//8A8AgL/85S+YNWsWdu/ejfPPPx+//vWvccUVV+Dw4cNoamK/m/Xr1+P222/HsWPHEAqFPF+bL8mLSdVkZD3m6vJa1Q6d7siKc4dSF7MnBSCXtpuRU/IUa0k+MDBg2JJJd1NTKpXCI488gn/5l38BIQRdXV1Ip9OYP3++dszMmTNx6qmnYvfu3QCA3bt346yzztKEJQAsXLgQAwMDOHDggK/XzgVmMVGFo+bZplmvObEQmlS/5Aar3G5+zkrYCt7viBxOsVG95IVsANDS0oK6ujpt6+jocL32L37xC/T19eH6668HAPT09CAUCqG+vt5wXFNTE3p6erRj9MJS3a/u8wO3YRYbsRqQ1AIaij3SYJ9U/6sIUgpWglr1sBOTvVJDl39OeEUjTulz6NAhw5I8HA67nrNhwwYsWrQIU6dOHcmp2cIFZrEJ1wLD+sIc1PhfTRbqhGGOGVl/oB5F+EoJALVFmGyFMNgLEJ1HlAIINwJB3kY5HwoPXGfnxmIxXzbMv/3tb3jmmWfw85//XHuuubkZqVQKfX19Bi2zt7cXzc3N2jEvvviiYSzVi64e4xVfS/KOjg7MnTsXtbW1aGxsxJIlS9Dd3W04pqenB9dddx2am5tRXV2Nj370o/jZz37mOvYDDzyAv/u7v0MkEsG8efNyXmDJQAgQmph9bK6zkXM8TMLT7kDd+LL/cAjPUApk4kBqEJBSI3ed0UCSWJ1RYnq/CIDUUWDwHbaf4wsiFL7lw0MPPYTGxkYsXrxYe27OnDkIBoPYvn279lx3dzcOHjyI1tZWAEBrayv27duHo0ePasds27YNsVgMs2fP9jUHX1PfuXMn2trasGfPHmzbtg3pdBoLFizA0NCQdsyKFSvQ3d2NJ598Evv27cPSpUtxzTXX4JVXXrEd9/HHH8eaNWvwxS9+EX/84x/xkY98BAsXLjS8wJIiGAFIxHuAuf44TzfuEQpsSA2wCvDJE6yJW+IY64aZjo/M9UaaeI+Lr02JeR18F0gkRmtWnDyQZRkPPfQQVq5ciUAguzCuq6vDqlWrsGbNGjz33HPo6urCP//zP6O1tRXnn38+AGDBggWYPXs2rrvuOvzpT3/Cb37zG9x5551oa2vzZAbQU1BY0bFjx9DY2IidO3fi4osvBgDU1NRg3bp1uO6667TjJk6ciG984xv4zGc+YznOvHnzMHfuXHz/+98HwN6clpYW3Hzzzbjjjjs8zWVchBWpSBkg0Wt04Lj2TDMfa3OCelzNKQVP00CyD8gM2e8PTWCpoKVCMglk3nM/Tm9LLvZ7OoqMZljRrg9MLjis6OK/HvM119/+9rdYuHAhuru78aEPfciwL5FI4NZbb8Wjjz6KZDKJhQsX4gc/+IFhuf23v/0NN910E3bs2IHq6mqsXLkSX//61w3C1wsF2TD7+/sBAA0NDdpzF1xwAR5//HEsXrwY9fX1+OlPf4pEIoFLLrnEcoxUKoWuri6sXbtWe04QBMyfP18LC7AimUwawhAGBgYKeSnFQ5YVYal/kipmSRchqB2rC0syQ4i3HHU/yJKzsARYkRE5CYTq8l9TjSbp9zxq67rmdIPvlrTQHC0KLiBM/Z+7YMEC2Ol2kUgEDzzwAB544AHb80877TQ8/fTTvq9rJu9vvizLWL16NS688EKceeaZ2vM//elPkU6nMXHiRITDYXz2s59FZ2cnZsyYYTnOe++9B0mSLN3+Ti7/jo4OQ0hCS0tLvi+luCSOZVMkveaS56RB6sKSVLT/C9lxZRlIDzJ7o1xA/cy0RfV4KzLDQOK9Esll9zhHq8QsjiMCIQVvpUreArOtrQ379+/HY489Znj+rrvuQl9fH5555hm8/PLLWLNmDa655hrs27ev4MnqWbt2Lfr7+7Xt0KFDRR0/LyhVBJdOWOp7+zgJGkJMFnGLWE5AyUsLAPH3mI0uNcCqJcWPAUM9+QlOP04kOc0E57jH44/S/JEMvlP0mXDKh7yW5O3t7diyZQt27dqFadOmac+/+eab+P73v4/9+/fjjDPOAAB85CMfwe9+9zs88MADWL9+fc5YkyZNgiiKOcny+rAAK8LhsG+D7YiTGtbFVur79jjZMNV0RzXoXS+89EHsqgCVWdymLFkIYpkJzmhjNtXSC36X2JlBIFjt75zRpuYUYIh7wEeCgsu75bEkHy/4+qVQStHe3o7Ozk48++yzmD59umH/8DDTPASTQVgURciytd0tFAphzpw5hrAAWZaxfft2LSxgXEOVZfHwUSDTZ1qJu6VECiwIXRVYVDJpPCTrydWQcjVV8xIn2efvNYR8xnTKkvsx4wE304EPqwknC+/p45G2tjY88sgj2LRpE2pra9HT04Oenh7E4yzsZObMmZgxYwY++9nP4sUXX8Sbb76Jb33rW9i2bRuWLFmijXPppZdqHnEAWLNmDX70ox/h4YcfxquvvoqbbroJQ0ND+Od//ufivMqRIjPMwm6SfYCsxCzaerh1OeVqgWDITKOkGSYsoeSSawFrdhe2EAT6L6HsM35SCALERxB3KTh9AKBmmr0p08oJVwqmWc6Y4mtJvm7dOgDI8Xg/9NBDuP766xEMBvH000/jjjvuwJVXXonBwUHMmDEDDz/8MC6//HLt+DfffBPvvZcN+fjUpz6FY8eO4e6770ZPTw/OOeccbN26NccRNG7IpFghXzPmNHAzhiW0W58fNyw87/oK7X6JTGI2US/XDijhRVSpzUmVCk1iFBDGUdrm4Du699y0j1g9CSZkOY5U8pKcl3fzi5QG4r0OBxDTf3XOH8BfYWFXSK6WpF6jOo9c26Ej0Jq6ORGZxP4m31c0Yx1iFRCutw+hGi3UDB79NNQmc+apaVENKFmBOZpxmC/MPgU1YgFxmJKMeX9+d3zETPuE55L7JXHM5QCa+1+D8PBYTNiTwKE2wxEmyPwU6aBK6TgvSCnmmbfcNwwkZSAy0Xr/qGHxHuY4yYjx2PLQHTgjCBeYfkj2wVHguQk5Lz/IovxmKfOWRyb585Z7RXJJI5QSTKiKY1SGbvAduObjG59gn02JapejTSUvyUvEej8OkCVWlMIOJ2FJdeXbPEGy8Zf5QmUg8b6PS/r4EntxKqX6vI9XTFRh6SUVVb9xYekZ7iXnuOOUOuj2BXDKDbc6Nsfu5jiwPTQNDPUCGQ9N04q9HJXTxU/hdGPwCDwJSyCbUEAIQGpGemacMoEvyb1idm7kQyF2Ms92TTMSkDwOoMGlcdoI2O+kJBCIFn9c+wsaveKezMAUqKkfwTmVH0QQQAoovkFK2FTMBaZXiC6HOy8oy/32JPT0WULICllNCPiZh3JS8gQQcPKcj8QyabR/GT6EpeoZ50tx33AbJscdMQIIakC5OeDZwd5I1XhJ5Vz1sVNAdSHL8JzBdH/dbLDBYi5NCQuIHy0Gj2bfGtuqUOpf5QPgwjI/DOaMPLcShQtMrwghFqZDibXQBHIFnTnujxAW2K1+acxyUR/tYvUF87UMshC6kostM1gDb18JD194EhhdgQnVEUVMf3VoirtbyiqHYw0XmF4hBAhPYKEyRASgywHXo+8YCehC/eTsBt0+VdvUAtqptcaq2j+J4JLG6KKdUqVwh5UWS0SgqhEQnGydeoHklAI62riko+qLnKg3JF6ZKC/Ueph5byWsYXIbph+IAITqAZpibRs0z7mVzVHVDB2TmeEYLJ7j6FEEaiACBCawXPb0oMU1rK5JWRm34cPZp8QoEIplYzWlNPOsB6uAFAWoXiO1+5LbLX9HuUBH9VTltXkxYCqfiyY0w0DN5BGfYtkgkIKcPhBK1+vDBaYbWq9wAqROKkJS/4GrqY+C7nldBonz4B6ubxKaFGxZLwSYsJPT7oHkKrLpOCkOxBNMc06fNNXSLLFla86NxWsYF2E3wMF3ALEBiJZQGw7OqMMFph1SEkj2Q6tPqY8ptAxdMQtRr3dRP8cqiEodUEpReI9yyjzoVs8DyFtoik7L+hEi39ArAmablt4HaMTa1MLRKFab3VKEC0wzslKElzpULtfsk3YfvI+Abb/yUnU+AUwrdOvFk49ALgZ+a2wWg5ppugpFrqWjjMcQsMdDh7n33A2BsK2Q80sUfivVIyk2Pidhqcc2/Mf8hXBa3vr88shplvKYSXjoxSMAwTEQXGK0CJpvntRMsyiuYcYqrktNKigguYBT9nANU4VKSj1Iv+fZVMXJCTYHXLU9tU2F6im3RGa2R8ljX52Ci2/4sAeq74UUB5KU2UbHYvmlaohDqhNIj4f5UImFRXEsKTjThzt9yoDhXhRt+Upl3WrPSts0P6XEZhpCjlQ7qYWDyfMcZbaE9/y6zI4TBbEaEEVmrhCDzIaaHmROMPPxqpYmJZgXfyx7/1CrzCqr98F8wxvlhZddQWoAhjhedepj3AqY2zArHUldghdDWKoCz2eQuZqq5zimX4GuBMoHazws360Eu3KtULWFpmqeixotoBP0qQFWnX2sfiAGm6YdutehJhN4/eykFLspyMqNjhB28wvWWicZUMqyrahy40mngEy/w9TMglz5O/gOt7OOEVxgAkDiBIoeQuPbY2vjKDIs730KTrXwhRj13nvceHG2ySm2CaGs4DSkWZqEpTZvmb23kYZxKjT14VoyPGvicoa1OYZkHEM1X2QGgUANEK5jwlSLfSXZeaThbCt1er8IYRXlx0jTLDiXvISdPlxgAix0aEyXCS7ZOXqtjbgdrztPzQ1Pn4S9MHB73TJrRaEihIHIhNxe5lbvHyGAnGTCVhzDlsiq0LRt6WESlk4anCwD8aOwtu3qHmcGTTcpL9569alxLlAq2EvOBaacQdaLXcQQnKJ/6X3aMiMTWS43lXSB7X7nZDG+nFS0K1Uj9jBmemhsBSYAzRZoWaOTmP5Se6Gpteawet2mlYB5fFvnoI15wxLqfsgIQ4gAUoCdl5RwfTceVpRJIvslzKOEm2XfGJsfiPdBdZvpaQDGGEOba6gCqqAe4jZj04xxn2trjvHQx9wcO0ugVZBSnyfIfn52rykzDOsblcvy2m68nH2lq31VAlzDhNIP3E/4DGD8YZk7Qao2xhxHjpdlmYPmYjuOhR1NSipB7oX8AJ2EgPNu47HjofVuFQDF7qq9J/qcfyDnfTVrmZk4si/axUGXL66fVxFXQXnCbZiVjKAuFaluAxy/mObybjmV1O1+VG5C2esXyU646q6bOA6QgBILKbpoeVbjefhRel2WBcZBfnZNg8n54+JUsXr9eluu07lOEQ/FYgyD6ytZYPIluRDMXRIZCmnYYG6ipT6XNw7LNseMFav/q06iDGtP4VgY2DRGeGJ+3R7tXrsQdLZfUpllLWXipuIfI0DNNLgXaLYhnYDzKsCM3gPvlIiQx3wogOgUf+dwigIXmOlB42PHvjsOwtTzl16//Nfb0Zyu6zKeZXC7uluJEQzVma5vMiOoZE7Cud6mDVbCXoww55PVPlkJORruYUI9eYJ5n4d7R1Zweg7FMc051a974PI5EfN/qMv3Sve8o3BV9kWaWCLBmCFkv7f5bHmInXfffRf/9E//hIkTJyIajeKss87Cyy+/rO2nlOLuu+/GlClTEI1GMX/+fLz++uuGMU6cOIHly5cjFouhvr4eq1atwuDgoPlSbq+8wrEqXuHJjuTlOachTBql+v98q+04zSETV5bFZsGq21ShLSVZSEwhiBEg2qTEX9oEcCfeU7z3upsHwLTi+LHcsKVCoZRpsqkBF+GlR/9+ShbPuZxqsHDovPP6FQk1RxvYrFbU1iagQGBsLWkFFQ/OYzn//vvv48ILL0QwGMSvf/1r/PnPf8a3vvUtTJgwQTvmvvvuw/3334/169fjhRdeQHV1NRYuXIhEIlvScPny5Thw4AC2bduGLVu2YNeuXbjxxhv9vXZKy6PSwMDAAOrq6tDf349YLGbcmUkyTVL17gphIBhlS09DvrFOaOV4l70KNI9vp6UjxG1p7xKv6bSPkFw7plmYWdph3ca0sNNqAe6UvdeBqPFayZNMk7VEFaBK9fdihGdJKcX+aCG0LKeg7AtMBCJKmbqhd5WdPp0uvn9eQbCodt33TUtYCAPVkyzPcvz+Fwn1Gn9ecC5qg/lruCfTEmb/9hXPc73jjjvwhz/8Ab/73e8s91NKMXXqVNx666343Oc+BwDo7+9HU1MTNm7ciGuvvRavvvoqZs+ejZdeegnnnXceAGDr1q24/PLL8c4772DqVKcGgVnKW8OUZdaXO3lcCaDOsOVeZlBZ/h2DraAxCxO35k36H0Y+9yC9PdT2WgITtERk/4caBuU2L9na6WPVBsPgFFH/LwChCdnr6Z1ehr5DyniykjKYiQOpPrbslpSeO3JaEZYOZg8AgOTctM0rckap9+lS2d78f4KssLSdYwHUTLPZmpS/pwDVzUB0Mvtbc4qtsBxtiqVhDgwMGLZk0rrn1JNPPonzzjsP//iP/4jGxkace+65+NGPfqTtf+utt9DT04P58+drz9XV1WHevHnYvXs3AGD37t2or6/XhCUAzJ8/H4Ig4IUXXvD82stbYMaPIbuUglEgEIEJUQM01wHkFVUT8L3UQzYsSV2e2Y6jHKMeR1yEpXaMHV5ssYoglJLIxilaDeVUA1RZgstp5r3XxnWC5tqX/SLLNi08YDKHKNcDVV6jAFQXmHZoYyJGIOY9D5yIilNyPIRlZVGLbxSyAUBLSwvq6uq0raOjw/J6f/3rX7Fu3Tqcfvrp+M1vfoObbroJ/+f//B88/PDDAICeHlZlrKmpyXBeU1OTtq+npweNjY2G/YFAAA0NDdoxXijfsCIpCYOw1KPPsKCS0ZGjz9fWhKCc1fwcsbA7GdIaLQSlFrOpCkslTY8AzkKFWv8g9WO7DWE1Lzv7nrm9RQ5uS1WqVLD3WlyZMBNKPlXU00NKJSX9jUWdhsUchQhAIsxEE/Tq8HJ5vdrnZwrVoinr4yuQQ4cOGZbk4bB1NIUsyzjvvPNw7733AgDOPfdc7N+/H+vXr8fKlStHZa4q5athpl0qkRuWn/oMH9PyjJiWoHZYttg1Pa8Z7nVCSZZyhYh2KTs1Rb/fcILNOD5w6q/ufKL72PIoCItkv+LRthDMdq9BTgGhiAdhaX5DXezGlk8XYTk/1giEVWPKe2PvQSwWM2x2AnPKlCmYPXu24blZs2bh4MGDAIDm5mYAQG9vr+GY3t5ebV9zczOOHjWW0MtkMjhx4oR2jKeX7vnIUsOzJgMmECNNYAZ3IGd57O2CDrtMzhQqZbeCCy+oGpiqyZpa+Xo5v6Dr+8GnbZcE/M1HzuiiHnShU+oKwWleifdcjrHTKPXRBvrnbMYgY51TXzij7SW/8MIL0d3dbXjutddew2mnnQYAmD59Opqbm7F9+3Zt/8DAAF544QW0trYCAFpbW9HX14euri7tmGeffRayLGPevHme51K+S3Ih4K7RqD8QIcDi2qobs89r3nPVawuHH696TIEBB24lyOzQfugOJgEvOJYbE2Gr8Y5UoIVjwL3u2lKSOZkkXV2A3APh7BxTnExBm6ykUD2Qet9mHP1zLmaUsIfXNM4Z7QLCt9xyCy644ALce++9uOaaa/Diiy/iP//zP/Gf//mf2nirV6/GV7/6VZx++umYPn067rrrLkydOhVLliwBwDTSyy67DDfccAPWr1+PdDqN9vZ2XHvttZ495EA5C8xgrVIowQb9j9xcFZwQpc/1UUULVO2KaoC5lde5QM3MVRi7obPXGcwAbqcLWbupk4ANxphNMa+6mnlAAvbCS4VSFi6kOe8KFNxmgUmpYkeVmX1TrFJag9g45JwnC972Ij/mzp2Lzs5OrF27Fl/+8pcxffp0fOc738Hy5cu1Yz7/+c9jaGgIN954I/r6+nDRRRdh69atiOgiHX7yk5+gvb0dl156KQRBwLJly3D//ff7mkt5x2Em+60D0/UaWaCKBVjbkejPxgyq9kyqOCSKRV6B8ip24UymUB9LdBYZqiuGaz5PiAA07eEm4fZV8nhTISILp3HLVU8NGD9fVzOMy/WFILsuoIREDRg/ZyGkxOfa5eW73PQik/JLO/XAaMZhvr7kfNQG8xf+J9MZnP6LPSM615GivG954Tr2o9NrRXoveDDmvuyL1AHpIIvlowCLaRzte4yDmqh6+1WvrBoWQ0Tlx+0Q72jwHuuvYzrH1kPuRfv1aaoI1rDNTVhS2XkFYX0SHOcrKDbszLB1oQ05hVx7pRcIEG4YMWE52lRy8Y3yFpgA648dqmX2LbVYsBCwKLrhQLCKbYNHAMj2oTf54trnHMj5sedk5eiFpggtYB3QnWd2PsnZfVpFI68mADd7K2WFPMxamh3hCSyl0utnImdQ8BLcTKBKWeb3ORzk9f3RUTWlPLzjnAoQmCpiuPCq3zVTgOF+QB4BO55tQDisYzL1saSGXWrsqH7Z6OQIUcd2c2z5hbA5aOXOXPBzA3O6phdboq22rrQwLqYgFqPlJyzdst68nF+iVI7ALBYkDS3QPR8tUx/Irv3Aif3v2DHUT6/pqmOpjgovWiuy5xQj3c9qfsEaD3Ukif/+6QX1W7d5vckTTMv1er6dk0z/vJTwH60wzqnkJXn5xmGOBJTqQpVIYXdaLQdbsB9HDXJ3EmbaLn1okS7EZcTMrR4GFiNK50qX1D6t9JwPiJBbmNhLqqgbksf8dc9xvpSVsUsPFr8CE2fU4RpmQRDDHwAusYx2XmWrGD6qKI1O2onDUpsIeWjARbzz6x030clA4piFlx1AKOYePmR7jZhSUEUXb+tqX/b7XpoPM9uBHZxq6jFyAkglAPSz0KRwfUlrnIQIIFZ9132cX6pwgekHQpitLafALbH8r/elmF4rNIUJ2X65vMT9ebi001Q8HYzcEwJVLA5WRRCAqiZWsSg9BEBm72Oghu3LF6J4n6U482zLepupWQP0GJrlRDG0dWkYSIK1Ki5RRjtwfTzh69va0dGBuXPnora2Fo2NjViyZIkhZentt9+2rU6yefNm23F7e3tx/fXXY+rUqaiqqsJll12WUy153GAOcs9BAKLNbJmpBiqbHdraUhtWO0xP+0jxzIHYDmt3eF7XAJhDLVgLRBvtNSgxxARFZCLTLAsRltrliRJLO4kJ5Wgj02jFKLLmDMLmZ1lJ3ocULNbvXBrmy/MSxdc3dufOnWhra8OePXuwbds2pNNpLFiwAENDLHi4paUFR44cMWz33HMPampqsGjRIssxKaVYsmQJ/vrXv+KXv/wlXnnlFZx22mmYP3++Nu64Qow6N/UKTwAEkS1Jq5tZmbCwok1QGJ0+qjCzWtYZnDmC7jk/ElC5qKcfuv46XsdWB1bqZQoi0/TSgwW29y0QIcCSEaqamQCtamZB57QYrS+KJDWLUetzrBBI4VuJ4mtJvnXrVsPjjRs3orGxEV1dXbj44oshimJO5Y/Ozk5cc801qKmxDhB//fXXsWfPHuzfvx9nnHEGAGDdunVobm7Go48+is985jN+pjjyEMK0RzHClpdymv2GxCjTPq28t8Eq5vzIDCtlxyy0C3MpOO16IgApP0+ruWKSrWMJAFGPEYxarRBiN4j0sI3AIez1xXtglLT9QKBa0bTH6Aei9pCR0jYpnX5uPDp7tRbk73BdV9tGISuHMUYozIZZlJXFGFGQDbO/vx8A0NBgnVrY1dWFvXv34oEHHrAdQ62yrM/5FAQB4XAYv//9720FZjKZNFRoHhgY8D3/vCEECETY5uecYLVxSZ9JAel+tjzTV9TRx1hCMmqmvjD9qFWhq/2FRYynSTBTyuYcqFK0xyForT4CUWaLTPVZX15NWwzX5zH3IpKTHpuPMVInADU7qdU4pvfSjhLOK+c2zDyQZRmrV6/GhRdeiDPPPNPymA0bNmDWrFm44IILbMeZOXMmTj31VKxduxbvv/8+UqkUvvGNb+Cdd97BkSNHbM/r6OgwVGtuaWnJ96WMHYGQ0oJgitKCQFflmxBr57lXLL23ij1P7dynFhPRl0IzOJ2QfawK/KpGVpikegoThFa5+noyQ0zDU+fkWmptBChmHU6qf4+swpi8mEyUmw2n5MhbYLa1tWH//v147LHHLPfH43Fs2rQJq1atchwnGAzi5z//OV577TU0NDSgqqoKzz33HBYtWgTBQXVfu3Yt+vv7te3QoUP5vpTxg5zK1e7ywVJWioCotDswtDyweo+VHz0BQB2ktdojyY3EUVYub+hd5e8Rn9XXfUIp04aHlesaHCyFCGtdqJfVDQbwthII1TlEP4x/Rrse5ngir3VBe3u71qZy2jTr/iRPPPEEhoeHsWLFCtfx5syZg71796K/vx+pVAqTJ0/GvHnzDA2LzITDYdsKzSVL0UrGmX/EQjYuk8rwbj+jzo4SPwLPkNkkM5uilPBWlcgPask3ya2lhlcIsrn5yueT0/dJUF6ai6OLBFh0QKlrlxWcGunrm0opRXt7Ozo7O/Hss89i+vTptsdu2LABV111FSZPnux5/Lq6OkyePBmvv/46Xn75ZVx99dV+plf66DW/Yi5biajY3dTanj5J2wgfwUdzLqsfiZxmxTmKSWaoiMISgFr/VK2JqnXr1HftVKvc2wkCkfVpjzaWvrCscHwJzLa2NjzyyCPYtGkTamtr0dPTg56eHsTjxhCJN954A7t27bJ12MycOROdnZ3a482bN2PHjh1aaNEnPvEJLFmyBAsWLMjjJZUwgrn8l1loWv0gTYZOq66PmhMpDyFMCJC0ad9ARI+516b56EkPFe/mQKl7LyevBCbAaN/VLoKsA8jqPSUWG1j0RAlrVnrYgqWQJflYv4L88bUkX7duHQDgkksuMTz/0EMP4frrr9ceP/jgg5g2bZqtwOvu7tY87ABw5MgRrFmzBr29vZgyZQpWrFiBu+66y8/UygNCWDxj6v3cfVpYkfpDNS8LodtnQaH2wqF3mUdcjLIYU9W+HKoD4k6tIXTzs0xbpEzzLYrX2Kb/el64BZb7eD8LKhQyDrHydfk9v0Qp74rrpUpqyCg0tVAgt1uzznur1yiFICwbrrmhhjOpY+mLW0Qbs4JAzrBOjZZLYdOvw0rTrZrib3lvO18ZGLbqMZ3PV7yQXzXVXZKym4EQZPGqfmp++mA0K64f/Jf5iIW8tiO2GCeVxqkPPlOSv9USVo7LmFA1ENHZfg0OEyd0Gqgg6Jw9frVLNfxIpxmaKx/Fj2X/LwRYuqNozoCyEpYmhGBxhCWgvF6zNjcW+oD6utXEgQzLd08c99CdsgTQKm0VsJUoXGCOVwJhaG1/1ZhMvymL2hcU8PRRW+a4q0Oav+gUyJg0ypwybTpt0q6zZajIGkZIV/RjTISlAoHuPdO9b1LSQ33Q8U0Fy0suMMc1+ra/Km79tW0ZgZhHQwMyap/xAxthGa4vvtc4EGVVkAoSloX+os1hXTBKiUyJF9+o4FxyLjDHM4Qw+57ZJulUg9Ep51wr+GFzvudbv8U8kn3OxXfV5maBKqZVVk3x1nc8H8IxIGjWdr1i9R5Yeck9OLlyhtA9nziex9w4Y02Zue/KEEFkqYhq4Q4qWfweFRunKlT1OeOAKTMF2WMAGAfz4ljSX1MJ6KaS0q/bASnBHEWjtR7zVeDBaU5WEQnUZp+Drdlk1oScYfVBS7CTZAXHrXOBWRKYC3fIGRZvKMWZwBJCAAlm+6frg6i137TqtNH/mK1ClDxCKSANAfGUt1hMmili+JAHSJEcSbaxr2ahaWN20KNpmcoxmXhJCkyDQzDf80sULjBLESHAeq7DtOyUaoC4qWCJQTlSvd0WGqd6sGsZOZodi1KWrSNnvP0GRip33AohlGeEgB6vNxMBWtqkVwhBSZd4q1C4DbOcEEWgaqr7cb57BNnsJ+Z1pgujGcCt1i11P7AI+zwKPmLS6IumBY8y5uzQfLYShWuY5YYguC+XnOI6zaFD2R0uY7ocIkZ92EeLhFoZP9kPo1ATmOMpE3co/WZl47XDS5wsyb7v6nvsVLl/HFPJ9TC5wCw3vARFO3VWVO2flo4lxwvDPoZTyK+VbjEIVDFhLSUVG6qo9PchSlHkISWfXVlSixFATupuKnZYvR92GrcuLlbdH6h21jAH+wBkWJ+kcqvKVcJwgVluxE8UOADR/XURkgYFVGA/7vQgDNqcEM72ORor1Ar5sgxkBpU5QonZrGbhTbJkERplp2VavS/6Yz2YPDJDTMMNVrMMqbhVSidYpai0Mp4YBaLW3Q1GlQp2k3OBWU7IGUCOw1pD1GGrhSpLZr/xmABzslj1zZFTTLsTxnj5mYnnZtikUiwHXm2/4YiXJbpV1IHTcl1Wytu5lbhTzpWGgcE4uwHl28u9CFSwvCxl8ysnh0wcmvebUmvBaJeimLNs1D1nhVm7NNgCCQyaVqpvbDNbpJRFOqIyPyL4EJbm/zsdZ37eKpjdZ0iX6jRKngCkEs4UKmG4wCwXhvoVbUUVBDo1QM3uyRGWArSWFcTOWWSzxCS6fYIHG1ux6lTmQ6rf+Jj41aT9Yg7b0ps5dKFd+r5NniDZudst4UeDUU6N/NKXvqQ5mtRt5syZ2v5EIoG2tjZMnDgRNTU1WLZsGXp7ew1jHDx4EIsXL0ZVVRUaGxtx2223IZPxf9PhS/JyYKgfoIPQNBlzuI8m3GDy1Pr54lo4NNSVppxwH0tKOu8fSfR9h4oqLJUWyL7Rxbr6qVykvwGOJX6/Olbn++SMM87AM888oz0OBLKi65ZbbsFTTz2FzZs3o66uDu3t7Vi6dCn+8Ic/AAAkScLixYvR3NyM559/HkeOHMGKFSsQDAZx7733+poHF5iljiwDUISlqiUaig3r0FImlc6Navqgr3JjJnucldnOiqIV9i2QYgbPq103qZOmYqe15yn1zGmvY8BYhBUFAgE0NzfnPN/f348NGzZg06ZN+PjHPw6AFTSfNWsW9uzZg/PPPx+//e1v8ec//xnPPPMMmpqacM455+ArX/kKbr/9dnzpS19CKOQ924ovyUsdNbNHH+No94XU6lsqx8pWTb28QBwfljZeX4y55YTVT2kE3hjfK4Pxy8DAgGFLJu1XIa+//jqmTp2KD3zgA1i+fDkOHjwIAOjq6kI6ncb8+fO1Y9XW3bt37wYA7N69G2eddRaampq0YxYuXIiBgQEcOHDA15y5wCx1VPukV9eldozyV/arcZkq9eTYR20v7PM6RUTw23fIDUVDlJX8ePWxWGVRRNkKvYbuUwCOh+LDpAgbgJaWFtTV1WlbR0eH5eXmzZuHjRs3YuvWrVi3bh3eeust/K//9b9w8uRJ9PT0IBQKob6+3nBOU1MTenqYnbenp8cgLNX96j4/8CV5KaPa5tQWun40RXNjtJxlnh8PriIw7EwBAIuDHCvEsGJn9YqFvdYARdZ2qXutUhwQoqbjvCzJPWQK6W2v8tiaNwrtLa6ee+jQIUOLCru22YsWLdL+f/bZZ2PevHk47bTT8NOf/hTR6Oh24eQaZimTTqCoHgCzwLVqWKb/r76Ih0HDNWmhQLbS0ljg1FvdEb9CgSpxsKbncv5vlZPvIizVG5r6mUQbfc5t/BGLxQybncA0U19fjw996EN444030NzcjFQqhb6+PsMxvb29ms2zubk5x2uuPrayizrBBWYpo/2efWqXgMcUSmVsSrOOIu1cL4JaOSZUz3r3jBl5CD7XIsFW5+j/Wo1ntx/ZG47+cyQCy5Ay1DaVgVDD2JaFK9KSPF8GBwfx5ptvYsqUKZgzZw6CwSC2b9+u7e/u7sbBgwfR2toKAGhtbcW+fftw9OhR7Zht27YhFoth9uzZvq7Nl+SljBgB0M/+r/6gPBXegHEFmHOuSZPUn2AIS3IQKOoqMzJp7Gs+imFjO40c9PGSeWjsBXutde87BasWLyVYMoD+5iRWs7J+voojjwCjnOrzuc99DldeeSVOO+00HD58GF/84hchiiI+/elPo66uDqtWrcKaNWvQ0NCAWCyGm2++Ga2trTj//PMBAAsWLMDs2bNx3XXX4b777kNPTw/uvPNOtLW1edZqVbjALGVERWujFFqspVuLCvYf3ZO6c2QZBrtbjjZAkFuE2Ibx5MgVwwARHUKbVEGZp7B0HNMD+hsWQbYQtDa2oHTlLMViw4Xzzjvv4NOf/jSOHz+OyZMn46KLLsKePXsweTLrrPrtb38bgiBg2bJlSCaTWLhwIX7wgx9o54uiiC1btuCmm25Ca2srqqursXLlSnz5y1/2PRfel7zUGe4HZF0Ot2MJNbuPWmD71BhFJw2A6v7jRVMINxS/0Vk+yBmlxa0+KsCDs8URnablNb4zEAOCEdZuxLKPuwPRJtsiJqPZl7z381ciFi6gL3kyjab7flWSv1Vuwyx1quqMj6ls3NzscZSCVRdS1Ek3IejXBjXaNTDtEALMURKqg8keMYpzCAPhWva5+BWWQLbK0ljDu0ZySpqaaSjcuqLrA1QsiMCqGI0XiKAU7fWgDRI3Dcp8c/Hw3qk92PMVfK5FQjgjDbdhlgs1zUAmCSSOGZ93i880eGU9XkvvLHIaOxgrzDkwInjVKC2EKgkAlADI5L4u4mLfJQFWYSjVp8TP5vO+jA/rGUGBPp+izWT04RpmOREIA9Wn5D5vW11dDVXRPfYabqTlUdscEKof29hLWwg8fe21DB7dRqVsmI/l0Hb2CgJABtL9xkIgfhkvPYD0IVD5biUK1zDLDULYEj2dAJLvZZ83a4N6wUh05zr1+wGMyStaMLXulMgEFu40XmyXZtSWxVbFjr0gJ1nlc3PmkFOWk3ECyNqUfQqOYI2/40cIXkCYU34ELVIRDYHndt964uzxJdo/ymPVSwxm95MlVpczNVCYNjWSBGs8BNK7mDFC9UqoEoWngH5qJSR9LLGJWLJN08oJrmGWO+a6i5Qq2p/+x6uPvXS6/TssRSkFkAbSOiGZPsl+5KH68aVWEIEF1KdPKoWNlfdGCHqzL0pJVtBDiACy7nxP1zYfrlfPba4rhFh41nh5Dwv1dJewl5wLzHJHFZA531E7D2+ejgW7zJ/MMBs/XJ/fuCOF2skyGGO2SUKYFjd0BM7vAQVoBkgdVwfyd11LG7HN9cQIm584zn6mFbwmH2efBKcsyQwBoVp3p4Ussa6OmTgzCwgB1tUxUDVyPzJCmAdbRW29a38CjKmURZ0MUD3FPfqAM2ZwG2Y5E5oErcJ6wZUPnM7zkFbo1qJCSgHxXhajSCU2npxmYTiJ4/nnavs9L1gD+9eaZ/qkZ2hJCMsKdpJzDbOsCUWAFIxCM+9vq51W5TNf2m5f8oT9WHKS2RtDHtPo5AwTvJlhZUyBCcJgtbv3XhCB6GTWZdLgtDLPrdD30UwJSRG+JOeULWItyzU3VCIq9Aubh5YlOHzVMsMOhTEU0kNAsNb9xyalWM64YY4ykB5gQjfSyGyCUoqNqWq+YogJVTGkpFFOthmrEFyEpRApaWFSCXCBWe5EY8DgoH8ZabU0VENj/P6oiZibIkkpE5TpIXgr8CszZ4tTyqKbpgoKJI4CgdpsRSAVKcG2UIwVC8nEgYxTgeZ8bjwux4dLoxAFEQoLsx2vIbpe4AKzEqiZCgy/x4KttW+rww+emv6fswqn2VAic9iSVXA8zTDtTtUQZYmlcPruJOkh3Md1TApk1P7tFvtS/bl9zJ3G8iQ03Y4jLGzISQsfT/AlOafsqZrE/g4eRrbQhlnI6Sr4aB0mLcbS9lkFsOuEqZ7UAPsbrAWSx3WCzSGryHBN0YOXPd9A+WI6cpSCI46tKpT3SoywrKEAX4qXClxgVhKyhGxRCTXbB8ipg2n149ULQDdPrp2DJ3VSESZ5CLZgTfGEikHhK1BYkgALeJdUASlbCEuLCYQmAMESzdwpJNhCPb9E4QKzEpBlIDWo2O30WSVUqb4Dd2Gk1xrdqh/ZesSpTYyji5YphFg8phujZRwjAWbnFKNMUPou10aU9iKlCSEEpICbVyHnjjVcYJY76WFmkyPQaZCCLgfaoxPHYNcsIFbQshOlqrLYCM3QBG/XU1+XqjlbXt/2gXeEIBOa5lJ6nsekAE0BKFGhyVMjOSWFLDEPsxRnAkIIsuWdEDYKlkycBX4DsIzB1HLKPUDUf1y0QbdAcTHE4iqNJ+nGNiN4Tw0kLscVLTpIqWtZyI1DSpe0llmp+FrDdHR0YO7cuaitrUVjYyOWLFmC7u5ubf/bb7+tqevmbfPmzbbjDg4Oor29HdOmTUM0GsXs2bOxfv36/F9VOSOlmGaTUTNiZCaAku8zTVIvsFRvr9WPOm9PZx62S/25AacSZdT0F0CkweO8wJrCCUF2vpqUo98A9prDPsa0QkoXnpFTwsvSSk718SUwd+7ciba2NuzZswfbtm1DOp3GggULMDTE7FItLS04cuSIYbvnnntQU1ODRYsW2Y67Zs0abN26FY888gheffVVrF69Gu3t7XjyyScLe3XlBqVMMNqpSlI828ZAzjBnjqtzxm9MJYHha6Mu7c3C0taBJNtogmZhSYGwj06JlALJPmQL/1qNT5mwDEZZQ7Fgrc2xLtcBCv/Rl7J2KaDAnj5j/QLyx9eSfOvWrYbHGzduRGNjI7q6unDxxRdDFEU0Nzcbjuns7MQ111yDmhp7zeL555/HypUrcckllwAAbrzxRvzwhz/Eiy++iKuuusrPFMsbKQHXfjRqSTUvXQwdHTSWJ+jOI0qoD2XC2W58/V9KgcQJlqLoFusYqmcV5L0gyywPXRWK+jApqvwlIquYFFAElSCyIHVKmbbuCRGW7SkMKO+p4yHh0om55BgoSNb397MvfUOD9RKnq6sLe/fuxapVqxzHueCCC/Dkk0/i3XffBaUUzz33HF577TUsWLDA9pxkMomBgQHDVva4FbAAAFBguAdIKd5otxxuR3uk/oHexqhoplRiY2jdGNVDbaQFISyrRwg6x1SqXmivJE8geyPRX5vonF0y084zpkrpcsrDBQjTSFUvvFMrDzdhCeQRsD/eUFJ98t1KWMXMe+ayLGP16tW48MILceaZZ1oes2HDBsyaNQsXXHCB41jf+973MHv2bEybNg2hUAiXXXYZHnjgAVx88cW253R0dKCurk7bWlpa8n0ppYPX3tdUBmS18IQDWosJnQDQHiv7DUJS3SeDCSjK/iaOZY/zslSVM0BksnVHSSHEivt6DRGSZQsnkh7Ta0geZ3ZgDS8aNmEaoSFLygIqe1zhl7jA5DZM/7S1tWH//v147LHHLPfH43Fs2rTJVbsEmMDcs2cPnnzySXR1deFb3/oW2tra8Mwzz9ies3btWvT392vboUOH8n0ppYPgsQmWZQ44cp8zC2DzcTkaqCIgrUj3+/shqFWBVO00VMf+H53s/XUCzGPtGkltel36uEkvbYBFJX/dj9bLKUvyMqS0t7djy5Yt2LVrF6ZNm2Z5zBNPPIHh4WGsWLHCcax4PI4vfOEL6OzsxOLFiwEAZ599Nvbu3YtvfvObmD9/vuV54XAY4bBHG1e54NorWz1Ob5tUl8+mvG+35Xg+RTa8onfkCEGmuaWHlLqXPgsHe9W69Ui6TJxgtUvBYGQ9+4EqluJptaRW55GHH63k4HGY3qCU4uabb0ZnZyd27NiB6dOn2x67YcMGXHXVVZg8ebLjmOl0Gul0GoJgVHZFUYQs5/FjKGcCUabJ+ca03HZjJJdMQsjYgExOA/H3YNBc1cLBmWFlee4wH6KEEbEHdgch5+ag3kCEINNu7ZxQwZqso4gQ5dj3s84k/XU9JwAUM3d9DKjgckW+Zt7W1oZHHnkEmzZtQm1tLXp6etDT04N43Jg7+8Ybb2DXrl34zGc+YznOzJkz0dnZCQCIxWL43//7f+O2227Djh078NZbb2Hjxo348Y9/jE9+8pN5vqwyhRB3LdNNKLrZkUZSWBLRGAOpes3tlvlyitWxdEIUlTAlu3lbaNIkYHydwRommEXdikVtPKZ3ZmXiTFjCfDndDcmVSlBByxdfGua6desAQAv/UXnooYdw/fXXa48ffPBBTJs2zdbL3d3drXnYAeCxxx7D2rVrsXz5cpw4cQKnnXYavva1r+Ff//Vf/UyvMghNABK97P+2ws1r9s4o/nCDsdyK53JSsUE6kB5i5zrNNTJJCSsCsgLJyfsvAZkUENCZBsSwUWCaycQVb7wNnrRLZU6lWnRDpYKX5ITSfJuljC8GBgZQV1eH/v5+xGKlUYg1bzJxJYBdQV+b0tU2ORpY/CCqpuQKlZRSBd2NSGPW8WKHLDOB5ugxN80xPMkoNJ3GjvegKO+rGoblNSDfI6Px/VevceI7KxCL5j//gXgKDat/XJK/VR49W4oEomxZmXyfaWhaSFABNl/9fbMgzdPiXNGu3qPH63h5XYIARCdlbxjpYQd7r3Ld5AkgoCRaUMoSA9KDitYrsPc5UK0Ida/C0kG7Vd/jxHtKi18PFZjGI4LAtkLOL1FKd+aVjhhUUvvMydIjSL6LkaBNlpfg0evvRQtVIYQt++U03O2aspJCSpnwTJ5gdlOqtMNIn2RLfTcveu4kTJfT2ZWJIlBTfWylwPHN17/+dRBCsHr1au25RCKBtrY2TJw4ETU1NVi2bBl6e3sN5x08eBCLFy9GVVUVGhsbcdtttyGTcTEJmeACs5SxXH66xSRaQJXziOjswSREEdLmY9TsDfN1CXOc2C0/7VIqc45LKsWPfeBmG2UHMcGaGVTSTm2OyQvde2HnaEsN5H8TGkvGMHD9pZdewg9/+EOcffbZhudvueUW/OpXv8LmzZuxc+dOHD58GEuXLtX2S5KExYsXI5VK4fnnn8fDDz+MjRs34u677/Z1fS4wywlzjLkXwUl1Gqqa6mj1GyYBlp0TigFVzczREm5g9sWq5mwxC0GpGBSsAaqasiE5ltf2UXndrUgvVYSfqjF6bX0hpfIoAFwkaKY00yTVJXkhWx4MDg5i+fLl+NGPfoQJEyZoz/f392PDhg34j//4D3z84x/HnDlz8NBDD+H555/Hnj17AAC//e1v8ec//xmPPPIIzjnnHCxatAhf+cpX8MADDyCV8pIeq7z0vGbOGR9o4TTKRkxaDfuP/fmWQlUVnupDCiAAhCdkNUVCmEc5EGWmAZph6ZHpAbaklVNsOZs4XjyBYDcOlVmVoqHDwHAvy6Mf7vG+3M/EC7P9GrDQsN0o2rVLD3MtiGTS2WHX1taGxYsX5ySzdHV1IZ1OG56fOXMmTj31VOzevRsAsHv3bpx11lloamrSjlm4cCEGBgZw4MABz3PmArOUUYWCW4EN825VqdRkqtVyWo8iEOPHcpfGssQCz62WwHJK2WczP6cwHgMEliXhqMzmlB6ElplECBOunu2exdLwbG48bvhJAx0vFGlJ3tLSYqgH0dHRYXvJxx57DH/84x8tj+np6UEoFEJ9fb3h+aamJvT09GjH6IWlul/d5xXuJS913ArZ5uxTj1edEIaDoVMtkaO1ykrx4mhj1taZGYRjyTmaYamIAYvYQzEKkH5vWpaV4yg9aN1QTV9UZNQLPfiwSYoRuHbCHI8UWkBDOffQoUOGsCK7VOdDhw7h3//937Ft2zZEImNbR5RrmKWM3bLT6gtteGyhcmq7XdL8qJQtUgwY/2+HnTeYEGYLdevZHai2tnvpbY+Or3c08BupIBiziCqQWCxm2OwEZldXF44ePYqPfvSjCAQCCAQC2LlzJ+6//34EAgE0NTUhlUqhr6/PcF5vb69Wn7e5uTnHa64+NtfwdYILzFJGEJwFhV9NwCw07dALSS9eXicNUggyp5FoVQmIKLnetew6mWFmr0z2sThLc3vgnNOLKTSLOZagVGUq0QXeKDt9Lr30Uuzbtw979+7VtvPOOw/Lly/X/h8MBrF9+3btnO7ubhw8eBCtra0AgNbWVuzbtw9Hjx7Vjtm2bRtisRhmz57teS4l+olxIEvGgsKeluVeCm94uLZeABLRPYTHbdlJBCYU40nkzFFOM2cOe6Db4Tc20nECudfNwYfn3RVausISgKEDab7n+6C2tjan5m51dTUmTpyoPb9q1SqsWbMGDQ0NiMViuPnmm9Ha2orzzz8fALBgwQLMnj0b1113He677z709PTgzjvvRFtbm6+qZyX8qVUocgZI9ufGYI6mvU4vAL20m3DLaKEUSLwPa+8ULJ5X50E8abiHXuhCwweno2pig8Vb5BZNkBOrxRmHfPvb34YgCFi2bBmSySQWLlyIH/zgB9p+URSxZcsW3HTTTWhtbUV1dTVWrlyJL3/5y76uw3PJSwlZYl5hOyfLSNSOtCI8IevEoZQ5gqycLwAgVrFeOk5zk5IsBMlA4V9LWZJw+I9/wn99jPWFavjA32Hh17+ID1/+Cd1RnlTqgudiQIwAkYlFHXI0c8nf/9G/IlaVfy3ageEkJtywviR/q9yGWUqkBuDaBM2OYt0XhbDR3qg6bgLVMAofgVUZchKWsgSkTioaanHTO6ksgxCC5776Le25E2/9DY9+6l/w518+rU7ey0hFm5OGXapoqVBIP59Ca2mOMaU780pDShsrhVvh1JirYAirPB6sZWmEki5+kQhMMFY1s2ygyGT2/1CttbCklAn/eI8S7K7XTgsTnCyaiCKdSKDzhtV4c/tO404AT996J2RJ8nCtPOcRqnfYV+cj/nScUlCLXVLS5d24DbNUSDjUYjSjL/Xmx+EDIEfrCtUxB0V6iBWhMBSiULRLtfQaEVg2EJWVboyKl9ssNDPD/gpq+GDo2DE8++X/h/1P/BJiMIjWmz+L2Z9cjHBNDXr2HcDLG/4bB59/EX997neYMf8S09n69yjfHzVh5goxzN4zKcHGFcLMllvksm6c0YULzFIgPQxA9UR7sVMS0+M8ISL78SeOKwLQXC1csV9GJispkjJzSEn62EyBLUGDNVkh7lZFPb/JAgDeeWkv/rhxExpnfxgrn/opog0NIAIBIQQTT/8Azv7UUuz+3n+i/53DxteRQ76VmaqVcK4AEK4DUIaxlkUKXC9FuMAc71Cq80J7/aJRf8twCut4zmCNUtAiqVzb5vqJ40BVI3NI5YQYyUxA0gxzFsnpEc2frp48EYFoFNc9+SgiE+ohiNl5i0GmCbfefCOO/Glf8S8uqCX3ypwKrofJBeZ4R13SjZSDQis+DKPmEKhh2uVwr+2p2RNlIDngHI+ZGVYcQyMRlJE1O0ybey6+cOQvEAL62E9qOE6WZDSfdUYe1xGYbVZOM5OCWhKOCIp919SCg1N2cIE53vFaM7IYEJIVlIKoaIJuxSkUYSV5SZEcLrIGlpvuSQgBCTgHyguiKtR0wlsIu7e3iDay90gMAeJEoxZfwstM3/AlOWfc4vnLVYB2qZ4fiAEhXZC5bVHdPK8tZ5ggFiM+xlYgQaWkXBhIDSo2Vb84aOpiRHHUWNhXhQgzJ5iXkiX8wy8ILjA54xYxAsDJSZLnEtfQNE0haMrn1myNTl9w9XwBrjGi6nI1UO1BYJrSEIPVuoyhQj3sFu9ZIKzYIJW5UcqEuxAu6R84p7hwgTneEQIuGlme+c1mYWlVE5OYl65mwaE8L0SZcMm4VC7XSry5zddCQAWiLCMoPWSfVZQvQjhb+YkI1qXoOFm404czrglPYB0ic4RmgQ4UvdBUYyf1QdViBLkC2XxNAkQb2HI7M2Q/JyGkG1vvcfcQ+xiqZ4JyJGI3SQCITCj+uOUMX5JzxjWEAJGGbLYPlVldSr92QLuxVdOelDAKTKLUbEz1KU9YCEM1J1oIsJJliRO53nJRsQH6arVLmTALxdg8cnLN84UCEJlGHKhiWwn/gDmjCxeYpYQYzGbVJPWxmYVqmg77VLuhOY+dBFg6pF7ACkHmSVb7+lAKQFDaMChzlNKsna0bQpj1GQeKKCzB7Kfh+uKNV4kUmt7IUyM5o46fXjBeS7/ZVXAPVjNNTE4y7ZYErFMeAfacEFTSAk2572IVvAl3yq4lpdkNQvLiEfdy4yClX/hiPFBoAY0SjlXlArNUCVQzLZNQY21bQ2iiTlA6CU31PMuq5wqEKDZNFygFEu9ZO2akYTirs+pkFNInATkI7xq0g9AkAWbWKOXCveMFrmFySg5CdLJHEZo5Xm71MXE0FYKAOVaKYcvLDBfPiy3FTVqql/npnEliVHE2BdlfbqvkFAgXmCWNgJx+3VY55I7tK5S/AQft0g8Zt9YRqkbsV3j5OT4ARCeWZgvbUoB7yTkliaGIhcNydDTbV5j7lhcNu1hQCyJ1XFiOJIQUFkvJBSZn1JFlk4x0sPO5fUFJIH9DPKUsHEmtf6mGKTleDxZC3GuBEQ/IEsDlJWcE4AKzVMkknEu46QsIu2mYXpw5VkhJpbBxHuXaCGBZX7MY2jARWCB9eoj9JYSZHMRI4WOn40q5PV3aaKCKFRUp4QwWX/AlOaekkCQg/T6YRmdhx1S/kOa/gLVAcqogROWs0CGB7LlyWomPLCAGlNq0iCBBgNo5jtyW5oTdTMzVk6QEWDFjpQSbGMqGUalZSmrbYjHMohDMHvXkAJBRs43U68vKuQlWSLkShCYXmJySIt6j09AscNLSzM8LYesfOZWYgNALHiKyxmbBKiA9aH99r9i1yTXfAHJPhO0SXow4lJqTjemVQohpnlomk3pYmr2+cEPWGSanLYSl7v9UAtL9LKOJU7ZwgZkvVFaWfKpWElHS7EZYw8hkdLZLm8BxJwzCVGBCIecYGYi/l5viSCUg9T77m3FpyOYFs7DUBKjbEt9GWAZi7gVA9MhJIOVQAzN5AhAamSaaVCtGOcRnZeKVITB54DrHE1RmWybJtAkt/hFsOZcaUOoqBrMVcIq9/EgPmEqz6aPW/UCAaJO1dpk+6Vw93a0nD9Utmx1fvtnpA+f3SwizTJ1ABEjpMokCUSUTKQNkitwvKD3EUiltTQQqqqlCLv9lub52Sr7nlyhcYHpBSjFh6FTsgir/ZIaBjEmAEcLscqEY+7HnC6XGbBm9jdJrDx/Vix2sslmKUyYkXLGpf2kuSuwUc0lsH+QSnWKcb6gaQLXpoBFofyHFAdR7PHgk2m9wxhNlfissAlISiB91FpY5RnALbUlOAcnjSjWfPKujDx9VljO6JmcGLRPex5ZSTBvKvRA8/fCt4hz9Bs37uJyjxqvNaQTu/1RWtMYwnIW6WmikAn5S6ve9kK1EqYBPtwAo9dcP3Aqzp1qKKw4Tn6itdtVgdW1cZP96/TISwgRQ4j2rnd7mI4TY5nYdVzxLTPdDiOA+p3xI9bPVgeM8SOUU9qhggcmX5GYoVYTaEKuWY7XsNBe0MHulnb4Qal9uKZltOUsIy3sO1VprSZQC6T7jb5VaaLGe0IcYZZimKeqEjFpkw63WZiAKCHXstaQdCge7TsergLappGQmPAGIu3W69Ik0DCQlIFjPPgdDaJPyf/XzqwR4WBEHAHMaJN7ThbW4LDFtq/94COuRTN7ZzDDbIhONds70EJA6CbYY8Jt26OGLmT7JOiDqCcacBaYQzhazCNWx46mktOTVvWfFSsn0E30giKwmZ/w95BVQb4ecZK8n2qjYs5XPTwiw11+IbZpTMnCBqaKWJbOLASz2XZGo/yjjqrav5AkgFVA0SJPdTks79CCIvGYaUguhIgaByCTrLB6r6ulqULsQyK1UVKjQFIJMKPs6JwBUN7MVQkapUA8p9yblF6oURY5YhGJVFJXrJvdlw+zo6MDcuXNRW1uLxsZGLFmyBN3d3dr+t99+G4QQy23z5s2249qd8//+3//L/5X5JXHCOWDaLQ3R6XHOWLq/lCorOyVkCVQJYbFxcqi2Sk94tPtZIYaBqmYWpxmsZVpUtJFpwHbnONnwDE4qxwmxjQSYoIxMyj9uTwwC4RgQqWfzrmpmZey0r30eP9x87M/lBinCVqL4+ibu3LkTbW1t2LNnD7Zt24Z0Oo0FCxZgaIiFobS0tODIkSOG7Z577kFNTQ0WLVpkO675nAcffBCEECxbtqywV+eV1ElA1i1BKc39YXsSUjrbpp1gUAUkCJj2ph7r1fnhEVNkky2aM8NqDMJslaGYYl91sSMGqhRvsgm9sHR7H0O1QPVUoKqJCeBiBjkTgYVTVTUqvYIC8P3r9eKt5xSVdevW4eyzz0YsFkMsFkNrayt+/etfa/sTiQTa2towceJE1NTUYNmyZejtNdqxDx48iMWLF6OqqgqNjY247bbbkMn4/yx9Lcm3bt1qeLxx40Y0Njaiq6sLF198MURRRHNzs+GYzs5OXHPNNaipsdc+zOf88pe/xMc+9jF84AMf8DO9/JDlrNZgJ+R8LSl1kspc8VxP3k4bD+gDx52ElBDy7kzxQibOhBCRPQR625BvIRA/EIEJYznDMqf8nTwiUyopRtnpM23aNHz961/H6aefDkopHn74YVx99dV45ZVXcMYZZ+CWW27BU089hc2bN6Ourg7t7e1YunQp/vCHPwAAJEnC4sWL0dzcjOeffx5HjhzBihUrEAwGce+99/qaS0E2zP7+fgBAQ4O1Taerqwt79+7FAw884HnM3t5ePPXUU3j44Ycdj0smk0gmszapgYE8MzyS/To7nk7Y5fOF0ALITULT8ljT9UYEZS5WQlMIWadF5kMmztoAGyAARCAYYQJKDDOPvFOWkBgprgB3QkoxJxsAX59DCaf1FY1RFphXXnml4fHXvvY1rFu3Dnv27MG0adOwYcMGbNq0CR//+McBAA899BBmzZqFPXv24Pzzz8dvf/tb/PnPf8YzzzyDpqYmnHPOOfjKV76C22+/HV/60pcQCnkPRcv705dlGatXr8aFF16IM8880/KYDRs2YNasWbjgggs8j/vwww+jtrYWS5cudTyuo6MDdXV12tbS0uJr/gCAZF9uoQYiQBMy+eBbGx0BDDFvyNpIxSgQqAGizawjYzGCrDNJC2GpzkFmlYOCte7550JodPOwM3YFOlzgArNoDAwMGDa9AmSHJEl47LHHMDQ0hNbWVnR1dSGdTmP+/PnaMTNnzsSpp56K3bt3AwB2796Ns846C01NTdoxCxcuxMDAAA4cOOBrznl/+m1tbdi/fz8ee+wxy/3xeBybNm3CqlWrfI374IMPYvny5YhEnJdma9euRX9/v7YdOnTI13WQiWdTAC0DaguIb7TcN5ZLOcJsi5EJzAmSr6CklAnA9JDifaZKbUgnJJYplXzfepkuRphDphDnTj7I5qW4x89HSjk7ByuBIgWut7S0GJSejo4O20vu27cPNTU1CIfD+Nd//Vd0dnZi9uzZ6OnpQSgUQn19veH4pqYm9PT0AAB6enoMwlLdr+7zQ15L8vb2dmzZsgW7du3CtGnTLI954oknMDw8jBUrVnge93e/+x26u7vx+OOPux4bDocRDls4GLySUpaGVhqh9pxeyzQ/Z/cDU73eFscQweQQMuWbjxhFCIVJx5UyaPmkdTrYCWkm6yhKK7GoVGbxlIFqtpQfiffGUjg7Lc2VfTTDUlSjk0bPfDDuKE5Y0aFDhxCLZZ2OTr/nD3/4w9i7dy/6+/vxxBNPYOXKldi5c2cBc8gPXwKTUoqbb74ZnZ2d2LFjB6ZPn2577IYNG3DVVVdh8uTJnsffsGED5syZg4985CN+ppUfVHL+IRqcMmbB6SI0KM0KR8trmMYYSWFJwfqBF9LjJhNnZd3yurgLcoYFyadMFZKkDIubFMPM1lrs9ygQtQnOd1spKK8pcZxVeyrhrJWxRvV6eyEUCmHGjBkAgDlz5uCll17Cd7/7XXzqU59CKpVCX1+fQcvs7e3VnMnNzc148cUXDeOpXnSzw9kNX2ugtrY2PPLII9i0aRNqa2vR09ODnp4exONG29Qbb7yBXbt24TOf+YzlODNnzkRnZ6fhuYGBAWzevNn2nKKSScL1x6za/9gD806LE/RhQQ7e6UIM5vmYVUkIiPqwDVIlamC4Fxg6wv4m+/K4sA9S/fZaqJQ0Fv1VkdMsdnb4KMvqybikcpqxdDC5hXbpVgZUdk8fLVfGQRymLMtIJpOYM2cOgsEgtm/fru3r7u7GwYMH0draCgBobW3Fvn37cPToUe2Ybdu2IRaLYfbs2b6u60vDXLduHQDgkksuMTz/0EMP4frrr9ceP/jgg5g2bRoWLFhgOU53d7fmYVd57LHHQCnFpz/9aT9T8k+yX1dk1iEdRtMwvQ7sw8Nu5Un3WjSDBFnGiSeCQLV3DR+yBCSOGW10VMaI21+p5HyN9BBzHBHCbIjmDCQKliGVFFhwvRcbLSHMdmpVKNn+JBiEZrKf3VzECIvvJBXSeW2UveRr167FokWLcOqpp+LkyZPYtGkTduzYgd/85jeoq6vDqlWrsGbNGjQ0NCAWi+Hmm29Ga2srzj//fADAggULMHv2bFx33XW477770NPTgzvvvBNtbW2+zXqE0nzdweOLgYEB1NXVob+/317NTw1lC/9quCzLfX8xPOQkWtkwAZdrEXZ4zVSlhYLSR0bNDjIjhJnd0o8jJX5M6f5oce288PPVcrlGZJK9tmlABKqbXI7RQamSA29+H83zcbJtKn8jE42FTEYRT9//Il3j/W0diFXnHy87MJTAhE+s9TzXVatWYfv27Thy5Ajq6upw9tln4/bbb8cnPvEJACxw/dZbb8Wjjz6KZDKJhQsX4gc/+IFhuf23v/0NN910E3bs2IHq6mqsXLkSX//61xEI+HPjVJbAHDoC+2WX3qlD4Enw5Yu+hqVqI9Uua6qApP0FE37VUyzGk5izRM6wY8So/x+unGbebEvyfB/UwHinthFEhGU+u5lgrQdhqRCeCAR8aA7pIcXbb/5eWDn/rNAJzaqmMQk9KmeBOZ6onOIbcgaeNZ6iVNmxEbjaUl8wHqpvd2GVSkgA1qEwbmzMlda1ahBCLD0xHy1Hclrmu0UGgOVoE4FpgYQoXRdFJSogY23vIyLLF7eK4zTjp4dQZtCfwAxUsZtOjkD2q0tQNs+guRJ8uVEcL3kpUkECUxcDaPn7N3mtNc3HrJF6/bAdhGXuDo9jgtnqyGT2A0+aihtLCbYFa51zxIsOYUKckNwyZ4QwL7eUZO1oVS04UKWcIzA7oLnKkRk/Odx+F02EsPdLjDIbbiHZV1KSvS6qOIYyQ1mHlBhiKZljtGwvGrweZgUg6X+QBCB2y3JVo1Mzfsw/VA/aVs7xxPjYoF3mkb+edKmslD6paJs+lk1iATGtkUnO81UFqd18whOU0npFql+Zb3ykGASikwubi5QEhpVgaLOtOpNhppNQPRCqkOrsZUblCEy9BkPUf0yaIxGzHls5DXdNw4vw1HvPAVAXQevl7usl0yQ9aC+gpBTbr9aH1DSfsHPNSCHEBIn6HgWi7Dy3GE85w66n1qYUgkr3R0UrFQLMu53sz5oXCiFYQOVzIcjiK9ND7t0xLTGtVMwREQBLABCDhd2kxhKCAjXMos1k1Kkcgal3qJihVLG3qVqFlyXZCOWaF6tKuaW3G4qDo8/4nH4pL0vWy18hrNTCtJmbrApSARB1AlRKMe+7/v2SU0xLzkSyYxKbLpR+CdQUniNPhGy7ELPZI/dgl92q407QOfsApAaBaIkKTKCkhV4hVI7AhNptETrPtE5DJII3zS0vPHpbR9q2I6dzhaWe9EkgPEnxug8p2mBAcSRFrOdn6WFWbIKBaqXRms3rlhLsmqq9tdAlOVEKBhcLMQJAhH1rEI+fl+a405l8Cq3+zhkTKkhgmn60ZtuhbBPPWFQsfmD6thPF0i4ptQ6i9lItPDnAgt2DVd6OzViF+lAmRLX2EA6kB7NB6UQEkGcdzUAVEK7P71w7MsOw13rz/Jw0jRPZ1M9Sgzt9KgCDgDQLxrEIRTVlBqlCsyhD24R9OIYOqXjMIkqetBGWOuzMAnpUmyhRNFm3dMNQjGl+6UF2LhG92VHzQa1mVez1pyowUn1ApLEEBQgPK6oAdB+SpWc63+WgkNUYfJ0mGrVasw8qH/SvS7Sw43ld8mbSQMDB05w4UeQ8auXNE8PMVirbLFdVoUqE4muTVhS7HYVZMFKZvdbRqDLPKQqVUw016PKlzDfhyS410QuCwAQnEZimlM+NVy0XZ55/IT/CjIN3OBMvrrAkgWyYFSEsnTNgYQ4QI6yk2qhm0YyCJpRTl7MEKFI9zFKkcjRMteai7fJX7xBSsVH7cjLo8vgCyFI2EwYwOpys0iPtrqPfr5+3OdtEluBZi3ZyfqU8pidqU7Gan45QrfF1EcK0x1Asa0IQgiOz5HYjEM2/MrsZu+9IKVZwr2AbZgl+WnmitqLwrUkq9ho1IkQfh17QF4dmhRhV0zaVaxG9IHWZr5WwtNLEvKQfqjgFfvtdpgaqrR1QgBKLaeNcIkI22H0shCWgtA328/kSIDTB4mmHMUrS6VOErUSpHA0zNQRNY9Ri4jygP86gCRU4H31MnploE7NtpQaZgCJE+WGJin2PsiByNdBc1cQCEaZZmgWUnLG3C1rh1F/cL2qaZmbYFLhePf6FhRBgcaLmcnJ2hOqAYJR9N9QblKOwjNrfTDjjksoQmJQqy0xVa1NrPOqFoYOyPSItEuyWqgLbJyWh1b2kUJaGhKURqsU3AOP/raDUn81RcOncSILI9uZx8VRFJmW1w2BNcQXxaCGGWAUiKcE+EzltnfceimVDsdTixHLa+jNW65qG6kZ27iNFBS/JK0NgamE2VqFF+g/fpshGseIjLedlIjxBiWEcyt0HqhTfmOSunamV09ND8Gy7JCFj75/0kGKzNJ+vTwm1EJpChDVcK0X7nBWEsBuTViVKYimcaliTWkREf3y4gbWxsDJhBKpKV1gC4GFFFYGFrU8VWJZhQdR4zGiRGoBrRfXk+0CVQy8SStmP1a0CkJmorndO0kpoW8Wvmn48gWogXMrCwAOCCAgu2rIgskIeUkKpVkSzWVNCBf3syowK+uSsNEr1KWIhNMfoLuil/QSVWPUl0WbpnFMuzUOQZ0DXYkFO22i4Vpq4+ljZV/a1IH1g1kzLhQpekpfJmskFO8eNHjXciALFEZYj/NY6ZdFYCjsHxAgrOaaS7DcdQE0bYNQsde9X/Li/a3NKDx6HWSkQZ3ukp9JqphhJ/dj6v4IAQFBCh7yGMhUhNVItXJuDhXYYqFKWiCHja9GCqZ3mo4+v0iOx8/myk1OGVMa3mhCwqjNFKB9mqDwDAIJ9OTG1rJec9uAA8Sks8y2Sa16eS0k2TzFsfG2FtHrKJHiB3HKmgpfklSEwAabxeCoG4ZBVYzwQ3pxCeseIkxDyYGfUEO0FJiEACSihP3ZzU66lz2IhIvPsikp8Z8ZLgLqdlsnhlCeVYcMEFA3PY3iQpzug6mGXrbUxQ3sCm3JrxhM8XFMhMsF6jpSyIHZRvQ9ajWkTME8lVrtSzgDBAmtK+mmNweGUEJWjYYphJXbORoNUbZK+lwuKzVDNQ9fno6u2RCEC+yK0KnYeaB2CEuxsFYMpp1mMpmUxB72jxgnKYi8LaaBGAtx+We7wJXkFEKhiMY52AqmgD9GU902JTv7JANJM2OVb0Z0EWEC53TJcloD4e7C20TrVAbUgM1hAwQnCsns45Q0XmBWAIKBofWNcoTqlTrEXihEXG6qTZhlwdvJkPGTzCGGWdeJJaHs1D+giAwLVSiHfyrHyVCxcYFYIQgiQi1n41gFz2JEYVVpEOLU8sBFUYpQttVMD2XQ8tUkX4C3ukhAmNItVrkyMMCdRCX/5ORy/VJbALHjZXcD5oghEJypLZztnjAVEtO70GI8zW2ZkorcQICqzykGeBaaTAFf653BhWaHwXPLKIFidR99rsw3Q44dNdAInoMQkCkGWX5zsY8tzgwPKQkCRABOYdkt5KQHET8BTx0sispChQLWPTCDltYrhbAV3cQzrU3LGB3xJXiGIIfbXV/UhvSDzeI45L10tkkspE5bmcmuq4BQj2WW2GGECM3HU6gLZ/8oebwBqjneojl0jPWgjZK1eo2jMEZdlVpA5rbTiJYJS37KK2zA5ZU1lCUwAQBAgTlV8VC1S/9cnZpmT6mPe48ywc21KKQEEJwMBJWwoJ6dbnZ9PxCiz3wLsRhGsAYQokOhxmLQOfT8kWQbiR2GwxVJJiUA4yYofc6FZ3hDVgVrA+SVK5QlMLQvGCsW7TfRB536xOEdOsS3tYSmcOAatxqKUZxiShiIcg7W5GjXxYYfSN1RLHIO944qy/VVNecyVUzpUrg2zdEV9PlAKyKrTQ1c5RS1YobaNMFQssqjIY38B+12ZuI/6lDKzM9KkaUwfqZPhSUDVFBaEbmV+yEcLlD2EJVGpNDshcsYtHR0dmDt3Lmpra9HY2IglS5agu7vbcEwikUBbWxsmTpyImpoaLFu2DL29vYZjDh48iMWLF6OqqgqNjY247bbbkPGUApylsgSmrDQbo7JRwzJXHSJuwlL3WOvN4yLMMkPuxxjGz9McAACQlCGKfCf3oiH7OY5Tmqjfrbw3f5fbuXMn2trasGfPHmzbtg3pdBoLFizA0FD2e3bLLbfgV7/6FTZv3oydO3fi8OHDWLp0qbZfkiQsXrwYqVQKzz//PB5++GFs3LgRd999t7+XTmkhZWnGDwMDA6irq0N/fz9iMZvUPikJxI+x/xMBmnDUNEu/ziAowtfjKZ7ear3ANrfM8PFRBapYuws9chrIJNlQYhWQHNBp3DYIUYDILJuIyvAU+B9Qwo44o4an73+RrvH+y/+FWI1Nt08v4wwOY8J5n8l7rseOHUNjYyN27tyJiy++GP39/Zg8eTI2bdqEf/iHfwAA/OUvf8GsWbOwe/dunH/++fj1r3+NK664AocPH0ZTEzMZrV+/HrfffjuOHTuGUCjk6dqVpWHqc5ypDE3bVAWRH41Mbazm1Ea2YBRNU4xm/+8V/bJYzgBDPexmkR5gDpp4j4MtV0UxYUgJliXkNUtK5MU3OO4MDAwYtmTSW2fT/n7mDG1oYP2nurq6kE6nMX/+fO2YmTNn4tRTT8Xu3bsBALt378ZZZ52lCUsAWLhwIQYGBnDgwAHPc64sgUlEGJbZXnt/WyEEldYDGbC3sRhVkGzi28QwUD2FedoDtd7mp7WbyOR6tVVoGmzuZt+flYnBg9lBhVcrKnNIETagpaUFdXV12tbR0eF6ZVmWsXr1alx44YU488wzAQA9PT0IhUKor683HNvU1ISenh7tGL2wVPer+7xSoV5yRfvKKQbsA5oGoKjxggBQpbiGawA5sRDQdvNQ4zOVMCMxxDaadm+dq8Z+GkKTrASezIr9ilVsTDkDZE46DOwheD/xvnIpylrPcgFaXhQpcP3QoUOGJXk47N6nvq2tDfv378fvf//7/K9fAJUhMNXe3JkEmEaI4kQ2SJls7Um1cC8CWYEop2EppHJaW9gJIWVMc7m0cD0w3Gs9NsBiLlUhK6vLHDvtkLIlerSKacxxq0B5n+izqZIJIAkgWAeEeIO08kBpv1LQ+UAsFvNlw2xvb8eWLVuwa9cuTJs2TXu+ubkZqVQKfX19Bi2zt7cXzc3N2jEvvviiYTzVi64e433m5YycBuK9rFakpDg4NNnkcylOqXGD4gwxo3kDPby9gSrdhKhpIyxXPGd8EYg2WlcwEkIWRTHcXidlNk3NVulGHiaMdD+QdNJcORxrKKVob29HZ2cnnn32WUyfPt2wf86cOQgGg9i+fbv2XHd3Nw4ePIjW1lYAQGtrK/bt24ejR7MKwbZt2xCLxTB79mzPcylvDZPKrIq4ZVMw7SD4Vzd1tk9K7XOriei8RCcii5MM1jAtT0pk5yNG2fI71ceWyVrLVqUdrhBgXnDz65NTLJ0yPDGbCur1NSX7fByfB5mTTMss4UwPDoq2JPdKW1sbNm3ahF/+8peora3VbI51dXWIRqOoq6vDqlWrsGbNGjQ0NCAWi+Hmm29Ga2srzj//fADAggULMHv2bFx33XW477770NPTgzvvvBNtbW2eTAEq5S0wM8MuwtInlvZHytIFrQLBCQFI0NobrWmCSppZpEE3JAWS7zOPtu4ySA8C6WGmdRLBvmiweqOoaoJzZpOZUagVmhoCwh4dV5xxSoEC06eCsm7dOgDAJZdcYnj+oYcewvXXXw8A+Pa3vw1BELBs2TIkk0ksXLgQP/jBD7RjRVHEli1bcNNNN6G1tRXV1dVYuXIlvvzlL/uai69bvVvE/dtvvw1CiOW2efNmx7FfffVVXHXVVairq0N1dTXmzp2LgwcP+noxOWT8VibygF0vHSvMRTgApiFGJrOqRXaaaWZQZ3s0IzPzQtqtaLDabmKcCadi1ePkVAyUUstNFZYAEIlE8MADD+DEiRMYGhrCz3/+8xzb5GmnnYann34aw8PDOHbsGL75zW8iEPCnM/oSmG4R9y0tLThy5Ihhu+eee1BTU4NFixbZjvvmm2/ioosuwsyZM7Fjxw78z//8D+666y5EIoV6Vz3a2jSbZL5YaXlKjKc5HVIts+Y0F7dMGSp5EzyZuM+YSJIt0uF2HKeCKU5YUSniS7xu3brV8Hjjxo1obGxEV1cXLr74YoiimCPVOzs7cc0116Cmxr5P9f/9v/8Xl19+Oe677z7tuQ9+8IN+pmYNCQJwWI4ahCTxlulDHaoYqedbCUqv0Iz12DnHeVk+KymgfmpgUoq8zLpeybufOmfcUMHVigqauTni3kxXVxf27t2LVatW2Y4hyzKeeuopfOhDH8LChQvR2NiIefPm4Re/+IXjtZPJZE6mQA5BhzCWfDVKK4Gqf05KOQtLq46PxsE8zsPDR0cU4RSq9ZCNpKZ6OnnJi6AdhOsKO5/DGUPyFphWEfdmNmzYgFmzZuGCCy6wHefo0aMYHBzE17/+dVx22WX47W9/i09+8pNYunQpdu7caXteR0eHIUugpaUl9yAxxEqbeaEgr5/IMnDECBy1QxJwX/ISEZ4+Fi+aGpWYACcis5naLs9Nr52M0DJKCPNq7eVAQYU3CnUYjS15C0w14v6xxx6z3B+Px7Fp0yZH7RJgghcArr76atxyyy0455xzcMcdd+CKK67A+vXrbc9bu3Yt+vv7te3QoUPWB4ZiLPxGL2CIqASZa094L7xhlaUTqGJFf4M1St63BURUvNsO16AS0/ACLoUNKPHWaoNmmLc8PZS9fmQyE1z6+cPnMjkf7VyMsJ5GnDKA2zB9YRdxr+eJJ57A8PAwVqxY4TjWpEmTEAgEcoJHZ82a5Zj+FA6HvcdPBarYptn9CDBsyh/1etdTbZQqgpAVcIQw4SxVMZuhnGFLZy1+0ub+JCVZHKa+dw8RdWXodFAC5mSysaMaJ8v+pPrB2kxEmNYdnaTEa/YpS3Cf9laixImGYywN0ql9sBo+xauwc8oAXwKTUoqbb74ZnZ2d2LFjR07EvZ4NGzbgqquuwuTJkx3HDIVCmDt3bk5B0Ndeew2nnXaan+m5oxdYWlC517ud4gnRa1eCyApi6IUaISx3Ws2f1qoh2VwnE2dhQjmXU+ZGgux8VUhRqovP1GcI6bG4VuoEIDSx7pVSimmehRCKKUv9SSw2NDUAQ7SAEAJCE9j1OOVFBTt9fAlMt4h7lTfeeAO7du3C008/bTnOzJkz0dHRgU9+8pMAgNtuuw2f+tSncPHFF+NjH/sYtm7dil/96lfYsWNHni/LA8EqIOmgGRnQtawgAEiIOZQCURet8aQunlJpFBasyZ6jNkVzui4hTCirqPU8DXgU+snjQFUjkLAQ0H4ITzTaIoNVbAPsg/g5ZYMaW13I+aWKr2/2unXr0N/fj0suuQRTpkzRtscff9xw3IMPPohp06ZhwYIFluN0d3drHnYA+OQnP4n169fjvvvuw1lnnYX/+q//ws9+9jNcdNFFebwkjwSqlKIWbrZLi2WvqAhMO2GZGWYanCH4XAbSJ42pjFICrtk1UsKYXllIvCjNAKm4+zXtCFQD0eZskzYruLCsACrXhlk5FdelFFs6grLQnmAVK5yROJ4NA7Irr2YmUMXGSA1m7XdiRHH6hIDhI86TDdayJW3qpDH90Y7I5Gywe+KEe2m3kSAyyT3gXq3ORALcGz7KjGbF9b7/2YxYbQEV108Oo/7sfxzRuY4U5Z1LDjChGH8PgE5Lk+KsqEW4gS1RpSRbGmuanMs9RMrkZuNICbYFbLzketJD1p0c7dAfF4oB8VESmERgdtNgrbPmmBpSBL/ufRPD2R7onPLCayUup/NLlPJeP2k9tG0qBiVPMM1TDLNyaZFJHuIbiUOeNzzmryu9cexCkMzET2RbTggB97CjYhCZBFQ1s0BzO2FJKbsZpfuRc5ORkmwf7yBZhlTukry8BWZGWYI7kVJsqYSwJWdkknP+ddH69xC2bPUk/CQm+FXTQbgeCMYwcl88gWnbTuFClCrmDCfHmax4zzmc8qC810te8qdzimMQtlTPDGdjKQEm2ILVwLBbRXIPQkwIZZc0oXom0yW7Yhq68RLvMxMCwOYiJQE5YX2sZ6xuKJIu1ImwpbU+zZRSZkt1FJbqUAlmFuE2zfJhlOthjifKW2B6rYVpDoUhRAkBsspFdwoY9/hFkDNMgyOiEjY0AYjLJuFnMR7NsLnKCVYvMwc/VTO8+voos/eCMqcWwG4mTmYJM9IwIIyzMnOc/KngOMzSnbkXvC6fvWhKKk4NvTzfeWWmLerRguhd7DzpkzbCUhvIw/XzINXPQpJS/VkzhicokB6BuqQczhhQ3gLTqVoRAK13TvJ47tLcdkw7TYn4i5GUk8ZrehK01GMBXg89fPIh/b57rc5iXo8zTuFOn/IkWA3ASsu06LGdGvQ2phi0bkwGwPcXQdJptkH7eqFG8m0joW+uVgCe7U+6a5XwEoxjAa9WVMZE1Vx2avprQhr2FgIjZ5htVHWEiBG2EbGwG2cgCtcBfFVP11MMDa+AF+eq6XM4pUF5O30A5swRAvY9wvUkjrN4TMu+PTILbjeXVSOBrCabcrItWmAuJhydrOSKW6VjKvnaXrJ8VN+PGGae9GLgSyvQFygJeo835ZQGFez0KX+BCbAwHi82SpphtkWzJucUc0gzulhOpSSbl9JrYiQ3C0YIANVTmJMkM6i08A2w7B4hoNTsDDhXRdcuG2Cmg8QJb7Uz/WDXPdP8usUoixkt4SUYx4pC7ZCl+32oDIEZ9NHTJmMhMKWEN086lcBspi62QhJgggRgApbKxrt2MMq2nPMIOy/xnn0EkSazlBCkYrUZNhdYzhGaRCloEmL7hBCPvSxXeBxmmSMEfTQCsxB0vlrDSkr5s1A2WyYTZ1ohEXXFjDPKEl+3xBYjijbpkJ4pK2mett85kt1nVWfTE4TNgQiATAGq3CyshKb2f5HZdUv4x8DhuFH+AlNOs/Q8rxV+rHru+NXSMkNAJAJAYF51s9PDrmiwlADiSaU6kYXQlGUliFwVSi6Fg+UUu1H4CTIHWAuLQCRbnSj+nvFaWndMVYAKLDuKC8sKQUBh/mJuwxyfSEmflcWJdbUhv/nj1KbYR3pQya12sm9S5jyKNubuytGQPQgoMcrsoX6QE0BKEbJqi4nUAEDT2WU4BdNAA9XMGVW0HHvOuKeCl+SlK+rdoNQlI8YCuyZlQZ/VgayER7Lfg7BUkNPWTqp8PN5CgLWK8IXuPZBTTIBT83wo00SDNVxYciqG8tUw5aS9pmdA0SqDNfa2QyHM7Itel/XmCkRyxrvTSSWTAIIiW75LCQBUeT1+8sWJElalaICpfgvBZ3GOGTuThBQHkmC58JzKoYI1zDIWmB7rMEYm5sZDmlErGKUHlNRABy1RCOV62fMpcZYeYHnjltfyKDT1aZyBMBBo1DVAsxo3jy+yFAfkWl4ouKKoXBtm6c7cFR9amKfDlDJn+oZkhvOV2LTQhNw7aN5FdF1snU6QIBCySLdMHFcP8D+mHZ6KJnM4pU/5qgWBCOAWOkkE5xCejNJ2AoTZMYWg0nHRLGx0j5PHgaom3RhxU6C5h6D2YmC19M7Edde2m4P6vA9ts1ixnpzSgC/JyxA15tEphjIYs/7wMkkl7EcnVDJDYAq5i3CgEtMohQAr4VbsLBs/ZOJGr7+mCXoR2D5spXw5XoGUrtArhDJekoNVM7fLYw7WWreHkNNMS7QUKh41qfQw22yFpVNqWRG/iJLHknWF4qXxG4eTJ7t27cKVV16JqVOnghCCX/ziF4b9lFLcfffdmDJlCqLRKObPn4/XX3/dcMyJEyewfPlyxGIx1NfXY9WqVRgc9Bluh3IXmIQAkQYW06gKyGCM9dYO6bRLWWYbwLJvDKXQ8imLRlkLXfcJWmxFxJyaGIjC3+sgrOiH07xCdSVdTIGTB6Nc3m1oaAgf+chH8MADD1juv++++3D//fdj/fr1eOGFF1BdXY2FCxcikchGtSxfvhwHDhzAtm3bsGXLFuzatQs33nij75deGWspIQiELGyVqZOKJ1qPm6PFw4cdiHoII8rDVugXs3YdiAJJjzZUIaTEpQrMC57qN4ZVkQAQquXaZUUyusU3Fi1ahEWLFlnuo5TiO9/5Du68805cffXVAIAf//jHaGpqwi9+8Qtce+21ePXVV7F161a89NJLOO+88wAA3/ve93D55Zfjm9/8JqZOnep5LpWrGsRP+BSWPo7RWjhYaahmbdVKgy2CEA1UW7fHDdsVPzYh6hq1CSLT1KuaWJRAdDLbuLCsTIqkYQ4MDBi2ZNJ/YsZbb72Fnp4ezJ8/X3uurq4O8+bNw+7duwEAu3fvRn19vSYsAWD+/PkQBAEvvPCCr+tVpsCUUhYNx4qInIJ9/KQTOsHpWizYQaiKUdZP3IpAWFlmuxCwKPpLRCZIhWBJezo544OWlhbU1dVpW0dHh+8xenp6AABNTU2G55uamrR9PT09aGw0phoHAgE0NDRox3ilMpbkZpL9Fk8WK9SnGOPQbDiTYVwbIUUCTJgJAWartdIsgWzxDjfPfXAcBqKnTrJcfNXxJkZYzKvda+WMIMUJXD906BBisZj2bDjskkAyDhhnv4pRwqkA75hjZ2N00OiEoHt6oiwDiWMur11gzjCr6IGxQpKAxFHkRChICSB+BAhPYlozZ/QoUhxmLBYzCMx8aG5uBgD09vZiypQp2vO9vb0455xztGOOHj1qOC+TyeDEiRPa+V6p0Nuz1YddjCXmGHVH9OKlzgy63ygCVawU3XhabiePwzGcK/leNsKBU3FMnz4dzc3N2L59u/bcwMAAXnjhBbS2tgIAWltb0dfXh66uLu2YZ599FrIsY968eb6uV5kaphge24ByV3wKLC9Nxry0x80M29s+xwJJ8lAsBCwiIWTX/phTfEbXSz44OIg33nhDe/zWW29h7969aGhowKmnnorVq1fjq1/9Kk4//XRMnz4dd911F6ZOnYolS5YAAGbNmoXLLrsMN9xwA9avX490Oo329nZce+21vjzkQKUKzFAdEM9XYI4j7QsAQFjsaLCGpYPa4kULG2eamtebGheYo8sop0a+/PLL+NjHPqY9XrNmDQBg5cqV2LhxIz7/+c9jaGgIN954I/r6+nDRRRdh69atiESyv4ef/OQnaG9vx6WXXgpBELBs2TLcf//9/qdOaU43q5JkYGAAdXV16O/v92YXScdtujwqb4cQYimOBEoR3iHYC8tivoWFCGSRhftYOUKG3vU2RPUpBVy/iFDKqjx5KX5MRKDKny2q3PD9/S/gGn1v/QGxWovCLl7HOTmI+ukXjuhcR4rK1DAB1mRMCDGhqW9wFqhWvMSmLJlMAtYamF9h6RQ4Xqj2KgHxo8wWqdbQFIJKn6Cwe6sKYYydJ5Qy00FmyGMtUwWrtiKcEWR0l+TjicoVmAAgikDUXK7NhnADczDkDVHSM6uVHkN5tJvwhGzUyiQJiCcAwUOQeXgM7/aUsjqdOZXmPWQmBceR3bUiKHBJXsICs0K95HkQCFkEfHvULkP1bMkYUmIkw3Vg7XhHKIfcCjkOiA7OodCEsdXU0ie99Y43E6hhNz4OZxTgAtMPkXogPAG+BZwQMIb+EDI2TgopAUSnMC1XDXYnQdbCYiwD1Sll1Z1ssbqpECBYP768+hWDVdEYv1tpUtlL8nwIRLM51OlBXd64T4LVYFWNLNpXkFC2F7gv3GyjMtNwgzU6m6zM4jMTcQACM1GMtvCkyjzcCFQrNxphfMWKVhq8gDAnL9x6AQEAiP1SN1ijFDmOMycHEZgwJiIgS6yIsedlqscqS5kMkDxqc5zMnEbR5tFNOfT8AyLgHSrHA5Xb04cLzEIQgu7e52CNs0AggnXguSCyykByStEGFY83RCB1wnSwjwrqGQ91OlMDzPyQMwRl2iiluWYGJ+QM08apzF6DuZKS2irE7ebgGGfK4Yw8XGAWSmQCEH/POu1QjBg7N/qFEKbFmjVZMknpue4j9Eadj5dgcCkOoD77mFKWBZQeMPbvEUIsCUC00aBlmaU26gWhlGAOnmCt0Y4brHHuIy8EefjQeIEvyTl5Q0RW0V2KK44LmT0XqGaCbiS+HIEQEGhimpucYRWIvMQthuqBuJdyViaNNW1VaBlM+00cA6DUyzQLTrOwNI+p164DUfYarGy6QoCNX8I/tPKCx2FyCoEQZosc7So/QoBtKS9fQMGHXVI3npyxFpYGJBZDGZmUFZpSyn2JnRowmiOCNdmsKjmjaNjRkbvxcDg+8WV97ejowNy5c1FbW4vGxkYsWbIE3d3d2v63334bhBDLbfPmzbbjXn/99TnHX3bZZfm/qkrDi21PPcauKZwe/TGurTZUqNKCWMFVyCrnSKZoAEFkmUmRBhbCFYhwYTnuqNywIl8Cc+fOnWhra8OePXuwbds2pNNpLFiwAEND7EfV0tKCI0eOGLZ77rkHNTU1tj05VC677DLDeY8++mj+r6rSsKqObiao5P6GPMQthnQZP7IfO6nMNEPAe69yKgGZFJA4zmzBqUFmM+WMW5gJ01ox8raN9SvIH19L8q1btxoeb9y4EY2Njejq6sLFF18MURRzCnJ2dnbimmuuQU2Nc7J+OBz2XcyToyAElNRNs/dcITxB8bCDLcujjUw45cQ+qnGYJg+2H+S04kEXAbiFRFFTl04wu2h6gAl2L2XrOJxRpKCAqP5+FrTd0NBgub+rqwt79+7FqlWrXMfasWMHGhsb8eEPfxg33XQTjh8/7nh8MpnMaaJU0QSiQLSJaZJCgGXyBKqZcDTbVoUAUN3MbI6BarZFJrHnzEHrnhudqWqD8pUKec1LV4W2fqlGmSMrPZ5rllYylbskz9vpI8syVq9ejQsvvBBnnnmm5TEbNmzArFmzcMEFFziOddlll2Hp0qWYPn063nzzTXzhC1/AokWLsHv3bog2ecIdHR2455578p1+eSIElCW3x3RBMWQfEqSNGfJW6UhFbRchBJQwJrtmc04ti5WCG6n3WVUpzviigsOK8q6HedNNN+HXv/41fv/732PatGk5++PxOKZMmYK77roLt956q6+x//rXv+KDH/wgnnnmGVx66aWWxySTSUNbzoGBAbS0tJRkjb1xD5VZjKSt8FN+AIGa3IpHiT5AMueJqxWI3Pq8UyDSzItreGA062H2H9qLWCz/+OKBgZOoazmnJH+reS3J29vbsWXLFjz33HOWwhIAnnjiCQwPD2PFihW+x//ABz6ASZMmGcrSmwmHw1oTpWI0U+I4QAQgMhEIT0buV0YVllXW5eEi9SzVMlTHgtXDE4HqKbnHWV/YQUhzxg6+JPcEpRQ333wzOjs7sWPHDkyfPt322A0bNuCqq67C5MmTfU/qnXfewfHjxw1d4DjjgEAICExhqZrpQQCU2UpDLm15BQEQ/DpwlIVP6f62yhci+HcGms8vUXzNvK2tDY888gg2bdqE2tpa9PT0oKenB3FTf5w33ngDu3btwmc+8xnLcWbOnInOzk4ArMHRbbfdhj179uDtt9/G9u3bcfXVV2PGjBlYuHBhni+LM6IEIsybHp3MUkPzqW4kRuBJGo63/ugcVLKG6Utgrlu3Dv39/bjkkkswZcoUbXv88ccNxz344IOYNm0aFixYYDlOd3e35mEXRRH/8z//g6uuugof+tCHsGrVKsyZMwe/+93vSqKxOydPQvXIpmCazejqY4dKTxzOGFC5TdA4Y09yCMj0KQ90IUUq4QYfYU2Vzag6fd49ULjT55QzSvK3ytc7nLEjXM084MkTMGqZQjYtkjMO4cU3OJyxIRABxCksQ4hKLENICJZ0rB6nfOECkzP2EOIeQM8ZP1Rw4DoXmBwOxyeVuyQv3YAoDofDGWW4hsnhcPzBl+QcDofjFb4k53A4HI4LXMPkcDj+qOBcci4wORyOTyp3Sc4FJofD8UcFO31KVzfmcDicUaZsNEy1hkjF9/bhVCTq9340aukMDAyikGU1O780KRuBefIk64Pd0tIyxjPhcMaOkydPoq7OY08nn4RCITQ3N6Pl9LMLHqu5uRmhUOmlw5ZNeTdZlnH48GHU1taClLCNZDRR+yAdOnSo5MpslTIj8b5TSnHy5ElMnToVgjBylrZEIoFUKlXwOKFQCJFI6VWjKhsNUxAE2/5CHGd4T6Sxodjv+0hplnoikUhJCrpiwZ0+HA6H4xEuMDkcDscjXGBWMOFwGF/84hd576RRhr/vpUvZOH04HA5npOEaJofD4XiEC0wOh8PxCBeYHA6H4xEuMDkcDscjXGCWMa+99hquvvpqTJo0CbFYDBdddBGee+45bf+f/vQnfPrTn0ZLSwui0ShmzZqF7373u57GfuqppzBv3jxEo1FMmDABS5YsGaFXUZqM5HsPAMlkEueccw4IIdi7d+8IvAKOFWWT6cPJ5YorrsDpp5+OZ599FtFoFN/5zndwxRVX4M0330RzczO6urrQ2NiIRx55BC0tLXj++edx4403QhRFtLe32477s5/9DDfccAPuvfdefPzjH0cmk8H+/ftH8ZWNf0bqvVf5/Oc/j6lTp+JPf/rTKLwajgbllCXHjh2jAOiuXbu05wYGBigAum3bNtvz/u3f/o1+7GMfs92fTqfpKaecQv/rv/6rqPMtJ0bqvVd5+umn6cyZM+mBAwcoAPrKK68UY9ocD/AleZkyceJEfPjDH8aPf/xjDA0NIZPJ4Ic//CEaGxsxZ84c2/P6+/vR0NBgu/+Pf/wj3n33XQiCgHPPPRdTpkzBokWLuIapY6TeewDo7e3FDTfcgP/+7/9GVVVVsafOcWOsJTZn5Dh06BCdM2cOJYRQURTplClT6B//+Efb4//whz/QQCBAf/Ob39ge8+ijj1IA9NRTT6VPPPEEffnll+mnP/1pOnHiRHr8+PGReBklyUi897Is08suu4x+5StfoZRS+tZbb3ENc5ThArPEuP322ykAx+3VV1+lsizTq666ii5atIj+/ve/p11dXfSmm26ip5xyCj18+HDOuPv27aOTJk3Sfox2/OQnP6EA6A9/+EPtuUQiQSdNmkTXr19f9Nc7nhjr9/673/0uvfDCC2kmk6GUcoE5FnCBWWIcPXqUvvrqq45bMpmkzzzzDBUEgfb39xvOnzFjBu3o6DA8d+DAAdrY2Ei/8IUvuF7/2WefpQDo7373O8Pzf//3f+/p/FJmrN/7q6++mgqCQEVR1DYAVBRFumLFiqK+Vo413EteYkyePBmTJ092PW54eBgAcorJCoIAWZa1xwcOHMDHP/5xrFy5El/72tdcx50zZw7C4TC6u7tx0UUXAQDS6TTefvttnHbaaX5eSskx1u/9/fffj69+9ava48OHD2PhwoV4/PHHMW/ePK8vg1MIYy2xOSPDsWPH6MSJE+nSpUvp3r17aXd3N/3c5z5Hg8Eg3bt3L6WULQUnT55M/+mf/okeOXJE244ePaqN88ILL9APf/jD9J133tGe+/d//3d6yimn0N/85jf0L3/5C121ahVtbGykJ06cGPXXOR4ZyfdeD1+Sjz5cYJYxL730El2wYAFtaGigtbW19Pzzz6dPP/20tv+LX/yipR3utNNO04557rnnKAD61ltvac+lUil666230sbGRlpbW0vnz59P9+/fP4qvbPwzUu+9Hi4wRx9e3o3D4XA8wuMwORwOxyNcYHI4HI5HuMDkcDgcj3CByeFwOB7hApPD4XA8wgUmh8PheIQLTA6Hw/EIF5gcDofjES4wORwOxyNcYHI4HI5HuMDkcDgcj3CByeFwOB75/+axy+VLnyYVAAAAAElFTkSuQmCC", "text/plain": [ "
" ] @@ -3062,17 +3248,15 @@ { "cell_type": "code", "execution_count": 40, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" - ] + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:02:00.492294Z", + "iopub.status.busy": "2024-08-16T21:02:00.492088Z", + "iopub.status.idle": "2024-08-16T21:02:31.180765Z", + "shell.execute_reply": "2024-08-16T21:02:31.180184Z" } - ], + }, + "outputs": [], "source": [ "# look at Dissolved oxygen (DO), but this time without intermediate fields\n", "df = harmonize.harmonize(df, 'Dissolved oxygen (DO)')" @@ -3088,7 +3272,14 @@ { "cell_type": "code", "execution_count": 41, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:02:31.183449Z", + "iopub.status.busy": "2024-08-16T21:02:31.183059Z", + "iopub.status.idle": "2024-08-16T21:02:32.422649Z", + "shell.execute_reply": "2024-08-16T21:02:32.422008Z" + } + }, "outputs": [ { "data": { @@ -3168,15 +3359,15 @@ " ...\n", " \n", " \n", - " 1443230\n", + " 1465348\n", " 21FLBSG-4\n", - " 4.0\n", + " 4\n", " mg/l\n", " NaN\n", " 4.0 milligram / liter\n", " \n", " \n", - " 1443231\n", + " 1465349\n", " 21FLBSG-4\n", " 7.2\n", " mg/l\n", @@ -3184,7 +3375,7 @@ " 7.2 milligram / liter\n", " \n", " \n", - " 1443232\n", + " 1465350\n", " 21FLBSG-4\n", " 7.4\n", " mg/l\n", @@ -3192,7 +3383,7 @@ " 7.4 milligram / liter\n", " \n", " \n", - " 1443233\n", + " 1465351\n", " 21FLBSG-4\n", " 7.9\n", " mg/l\n", @@ -3200,7 +3391,7 @@ " 7.9 milligram / liter\n", " \n", " \n", - " 1443234\n", + " 1465352\n", " 21FLBSG-4\n", " 8.9\n", " mg/l\n", @@ -3209,7 +3400,7 @@ " \n", " \n", "\n", - "

265772 rows × 5 columns

\n", + "

269613 rows × 5 columns

\n", "" ], "text/plain": [ @@ -3220,11 +3411,11 @@ "14 21FLPDEM_WQX-24-01 68.7 \n", "19 21FLTBW_WQX-DISN 6.36 \n", "... ... ... \n", - "1443230 21FLBSG-4 4.0 \n", - "1443231 21FLBSG-4 7.2 \n", - "1443232 21FLBSG-4 7.4 \n", - "1443233 21FLBSG-4 7.9 \n", - "1443234 21FLBSG-4 8.9 \n", + "1465348 21FLBSG-4 4 \n", + "1465349 21FLBSG-4 7.2 \n", + "1465350 21FLBSG-4 7.4 \n", + "1465351 21FLBSG-4 7.9 \n", + "1465352 21FLBSG-4 8.9 \n", "\n", " ResultMeasure/MeasureUnitCode QA_flag \\\n", "0 mg/L NaN \n", @@ -3233,11 +3424,11 @@ "14 % NaN \n", "19 mg/L NaN \n", "... ... ... \n", - "1443230 mg/l NaN \n", - "1443231 mg/l NaN \n", - "1443232 mg/l NaN \n", - "1443233 mg/l NaN \n", - "1443234 mg/l NaN \n", + "1465348 mg/l NaN \n", + "1465349 mg/l NaN \n", + "1465350 mg/l NaN \n", + "1465351 mg/l NaN \n", + "1465352 mg/l NaN \n", "\n", " DO \n", "0 9.32 milligram / liter \n", @@ -3246,13 +3437,13 @@ "14 0.05676222371166 milligram / liter \n", "19 6.36 milligram / liter \n", "... ... \n", - "1443230 4.0 milligram / liter \n", - "1443231 7.2 milligram / liter \n", - "1443232 7.4 milligram / liter \n", - "1443233 7.9 milligram / liter \n", - "1443234 8.9 milligram / liter \n", + "1465348 4.0 milligram / liter \n", + "1465349 7.2 milligram / liter \n", + "1465350 7.4 milligram / liter \n", + "1465351 7.9 milligram / liter \n", + "1465352 8.9 milligram / liter \n", "\n", - "[265772 rows x 5 columns]" + "[269613 rows x 5 columns]" ] }, "execution_count": 41, @@ -3270,7 +3461,14 @@ { "cell_type": "code", "execution_count": 42, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:02:32.425025Z", + "iopub.status.busy": "2024-08-16T21:02:32.424639Z", + "iopub.status.idle": "2024-08-16T21:02:32.457082Z", + "shell.execute_reply": "2024-08-16T21:02:32.456522Z" + } + }, "outputs": [ { "data": { @@ -3350,48 +3548,48 @@ " ...\n", " \n", " \n", - " 1442021\n", - " 21FLHILL_WQX-1512\n", - " 0.71\n", + " 1462927\n", + " 21FLPDEM_WQX-W7-A-23-07\n", + " 8.92\n", " mg/L\n", " NaN\n", - " 0.71 milligram / liter\n", + " 8.92 milligram / liter\n", " \n", " \n", - " 1442026\n", - " 21FLHILL_WQX-9\n", - " 6.16\n", + " 1462928\n", + " 21FLPDEM_WQX-10-02\n", + " 7.79\n", " mg/L\n", " NaN\n", - " 6.16 milligram / liter\n", + " 7.79 milligram / liter\n", " \n", " \n", - " 1442027\n", - " 21FLHILL_WQX-520\n", - " 4.62\n", + " 1462944\n", + " 21FLPDEM_WQX-11-05\n", + " 8.31\n", " mg/L\n", " NaN\n", - " 4.62 milligram / liter\n", + " 8.31 milligram / liter\n", " \n", " \n", - " 1442032\n", - " 21FLHILL_WQX-9\n", - " 6.24\n", + " 1462953\n", + " 21FLPDEM_WQX-E5-B-23-07\n", + " 6.57\n", " mg/L\n", " NaN\n", - " 6.24 milligram / liter\n", + " 6.57 milligram / liter\n", " \n", " \n", - " 1442037\n", - " 21FLHILL_WQX-14438\n", - " 5.61\n", + " 1462955\n", + " 21FLSWFD_WQX-800045\n", + " 6.77\n", " mg/L\n", " NaN\n", - " 5.61 milligram / liter\n", + " 6.77 milligram / liter\n", " \n", " \n", "\n", - "

168783 rows × 5 columns

\n", + "

172624 rows × 5 columns

\n", "" ], "text/plain": [ @@ -3402,11 +3600,11 @@ "14 21FLPDEM_WQX-24-01 68.7 \n", "19 21FLTBW_WQX-DISN 6.36 \n", "... ... ... \n", - "1442021 21FLHILL_WQX-1512 0.71 \n", - "1442026 21FLHILL_WQX-9 6.16 \n", - "1442027 21FLHILL_WQX-520 4.62 \n", - "1442032 21FLHILL_WQX-9 6.24 \n", - "1442037 21FLHILL_WQX-14438 5.61 \n", + "1462927 21FLPDEM_WQX-W7-A-23-07 8.92 \n", + "1462928 21FLPDEM_WQX-10-02 7.79 \n", + "1462944 21FLPDEM_WQX-11-05 8.31 \n", + "1462953 21FLPDEM_WQX-E5-B-23-07 6.57 \n", + "1462955 21FLSWFD_WQX-800045 6.77 \n", "\n", " ResultMeasure/MeasureUnitCode QA_flag \\\n", "0 mg/L NaN \n", @@ -3415,11 +3613,11 @@ "14 % NaN \n", "19 mg/L NaN \n", "... ... ... \n", - "1442021 mg/L NaN \n", - "1442026 mg/L NaN \n", - "1442027 mg/L NaN \n", - "1442032 mg/L NaN \n", - "1442037 mg/L NaN \n", + "1462927 mg/L NaN \n", + "1462928 mg/L NaN \n", + "1462944 mg/L NaN \n", + "1462953 mg/L NaN \n", + "1462955 mg/L NaN \n", "\n", " DO \n", "0 9.32 milligram / liter \n", @@ -3428,13 +3626,13 @@ "14 0.05676222371166 milligram / liter \n", "19 6.36 milligram / liter \n", "... ... \n", - "1442021 0.71 milligram / liter \n", - "1442026 6.16 milligram / liter \n", - "1442027 4.62 milligram / liter \n", - "1442032 6.24 milligram / liter \n", - "1442037 5.61 milligram / liter \n", + "1462927 8.92 milligram / liter \n", + "1462928 7.79 milligram / liter \n", + "1462944 8.31 milligram / liter \n", + "1462953 6.57 milligram / liter \n", + "1462955 6.77 milligram / liter \n", "\n", - "[168783 rows x 5 columns]" + "[172624 rows x 5 columns]" ] }, "execution_count": 42, @@ -3456,7 +3654,14 @@ { "cell_type": "code", "execution_count": 43, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:02:32.459476Z", + "iopub.status.busy": "2024-08-16T21:02:32.459103Z", + "iopub.status.idle": "2024-08-16T21:02:32.647870Z", + "shell.execute_reply": "2024-08-16T21:02:32.647155Z" + } + }, "outputs": [ { "data": { @@ -3522,38 +3727,38 @@ " ...\n", " \n", " \n", - " 12965\n", + " 13413\n", " NARS_WQX-NCCA10-1672\n", " 8\n", " 5.437500\n", " \n", " \n", - " 12966\n", + " 13414\n", " NARS_WQX-NCCA10-1673\n", " 20\n", " 4.115000\n", " \n", " \n", - " 12967\n", + " 13415\n", " NARS_WQX-NCCA10-1674\n", " 6\n", " 2.466667\n", " \n", " \n", - " 12968\n", + " 13416\n", " NARS_WQX-NLA06608-0161\n", " 5\n", " 6.500000\n", " \n", " \n", - " 12969\n", + " 13417\n", " NARS_WQX-NLA_FL-10127\n", " 3\n", " 9.033333\n", " \n", " \n", "\n", - "

12970 rows × 3 columns

\n", + "

13418 rows × 3 columns

\n", "" ], "text/plain": [ @@ -3564,13 +3769,13 @@ "3 21FLBRA-1541B-A 6 6.600000\n", "4 21FLBRA-1574-A 5 4.378000\n", "... ... ... ...\n", - "12965 NARS_WQX-NCCA10-1672 8 5.437500\n", - "12966 NARS_WQX-NCCA10-1673 20 4.115000\n", - "12967 NARS_WQX-NCCA10-1674 6 2.466667\n", - "12968 NARS_WQX-NLA06608-0161 5 6.500000\n", - "12969 NARS_WQX-NLA_FL-10127 3 9.033333\n", + "13413 NARS_WQX-NCCA10-1672 8 5.437500\n", + "13414 NARS_WQX-NCCA10-1673 20 4.115000\n", + "13415 NARS_WQX-NCCA10-1674 6 2.466667\n", + "13416 NARS_WQX-NLA06608-0161 5 6.500000\n", + "13417 NARS_WQX-NLA_FL-10127 3 9.033333\n", "\n", - "[12970 rows x 3 columns]" + "[13418 rows x 3 columns]" ] }, "execution_count": 43, @@ -3586,14 +3791,21 @@ { "cell_type": "code", "execution_count": 44, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:02:32.650307Z", + "iopub.status.busy": "2024-08-16T21:02:32.649926Z", + "iopub.status.idle": "2024-08-16T21:02:33.402012Z", + "shell.execute_reply": "2024-08-16T21:02:33.401359Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\mapclassify\\classifiers.py:257: UserWarning: Not enough unique values in array to form 5 classes. Setting k to 4.\n", - " warnings.warn(\n" + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/mapclassify/classifiers.py:1653: UserWarning: Not enough unique values in array to form 5 classes. Setting k to 4.\n", + " self.bins = quantile(y, k=k)\n" ] }, { @@ -3608,7 +3820,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -3626,7 +3838,14 @@ { "cell_type": "code", "execution_count": 45, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:02:33.404400Z", + "iopub.status.busy": "2024-08-16T21:02:33.403876Z", + "iopub.status.idle": "2024-08-16T21:02:34.269578Z", + "shell.execute_reply": "2024-08-16T21:02:34.268976Z" + } + }, "outputs": [ { "data": { @@ -3640,7 +3859,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -3665,38 +3884,37 @@ { "cell_type": "code", "execution_count": 46, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:02:34.271917Z", + "iopub.status.busy": "2024-08-16T21:02:34.271572Z", + "iopub.status.idle": "2024-08-16T21:02:43.478594Z", + "shell.execute_reply": "2024-08-16T21:02:43.477997Z" + } + }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ "-Usable results-\n", - "count 272552.000000\n", - "mean 7.763663\n", - "std 0.470669\n", + "count 276387.000000\n", + "mean 7.762071\n", + "std 0.472551\n", "min 0.370000\n", - "25% 7.530000\n", + "25% 7.520000\n", "50% 7.890000\n", "75% 8.070000\n", "max 12.970000\n", "dtype: float64\n", - "Unusable results: 132\n", + "Unusable results: 173\n", "Usable results with inferred units: 0\n", - "Results outside threshold (0.0 to 10.587675460371953): 7\n" + "Results outside threshold (0.0 to 10.5973790448676): 7\n" ] }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -3720,7 +3938,14 @@ { "cell_type": "code", "execution_count": 47, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:02:43.480923Z", + "iopub.status.busy": "2024-08-16T21:02:43.480537Z", + "iopub.status.idle": "2024-08-16T21:02:43.779425Z", + "shell.execute_reply": "2024-08-16T21:02:43.778864Z" + } + }, "outputs": [ { "data": { @@ -3793,35 +4018,35 @@ " ...\n", " \n", " \n", - " 1443523\n", + " 1465641\n", " 7.9\n", " std units\n", " NaN\n", " 7.9 dimensionless\n", " \n", " \n", - " 1443524\n", + " 1465642\n", " 7.3\n", " std units\n", " NaN\n", " 7.3 dimensionless\n", " \n", " \n", - " 1443526\n", + " 1465644\n", " 7.8\n", " std units\n", " NaN\n", " 7.8 dimensionless\n", " \n", " \n", - " 1443527\n", + " 1465645\n", " 7.7\n", " std units\n", " NaN\n", " 7.7 dimensionless\n", " \n", " \n", - " 1443529\n", + " 1465647\n", " 7.6\n", " std units\n", " NaN\n", @@ -3829,7 +4054,7 @@ " \n", " \n", "\n", - "

272684 rows × 4 columns

\n", + "

276560 rows × 4 columns

\n", "" ], "text/plain": [ @@ -3840,11 +4065,11 @@ "12 7.92 None NaN \n", "13 7.8 None NaN \n", "... ... ... ... \n", - "1443523 7.9 std units NaN \n", - "1443524 7.3 std units NaN \n", - "1443526 7.8 std units NaN \n", - "1443527 7.7 std units NaN \n", - "1443529 7.6 std units NaN \n", + "1465641 7.9 std units NaN \n", + "1465642 7.3 std units NaN \n", + "1465644 7.8 std units NaN \n", + "1465645 7.7 std units NaN \n", + "1465647 7.6 std units NaN \n", "\n", " pH \n", "4 7.48 dimensionless \n", @@ -3853,13 +4078,13 @@ "12 7.92 dimensionless \n", "13 7.8 dimensionless \n", "... ... \n", - "1443523 7.9 dimensionless \n", - "1443524 7.3 dimensionless \n", - "1443526 7.8 dimensionless \n", - "1443527 7.7 dimensionless \n", - "1443529 7.6 dimensionless \n", + "1465641 7.9 dimensionless \n", + "1465642 7.3 dimensionless \n", + "1465644 7.8 dimensionless \n", + "1465645 7.7 dimensionless \n", + "1465647 7.6 dimensionless \n", "\n", - "[272684 rows x 4 columns]" + "[276560 rows x 4 columns]" ] }, "execution_count": 47, @@ -3888,38 +4113,37 @@ { "cell_type": "code", "execution_count": 48, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:02:43.781887Z", + "iopub.status.busy": "2024-08-16T21:02:43.781467Z", + "iopub.status.idle": "2024-08-16T21:03:10.129464Z", + "shell.execute_reply": "2024-08-16T21:03:10.128849Z" + } + }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ "-Usable results-\n", - "count 263723.000000\n", - "mean 21.808432\n", - "std 95.959075\n", + "count 267183.000000\n", + "mean 21.709492\n", + "std 95.351598\n", "min -0.020000\n", - "25% 18.270000\n", + "25% 18.050000\n", "50% 24.900000\n", - "75% 28.700000\n", + "75% 28.650000\n", "max 48930.000000\n", "dtype: float64\n", - "Unusable results: 1211\n", + "Unusable results: 1252\n", "Usable results with inferred units: 0\n", - "Results outside threshold (0.0 to 597.5628816877291): 4\n" + "Results outside threshold (0.0 to 593.8190792053073): 4\n" ] }, { "data": { - "image/png": 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", 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yu91as2aNCgsLNWHCBLvf6/UqNTVV3bp1U0lJiZ599llNmzZNS5cuDXZJAADAYVoHe8LNmzfr5ptvVnp6uiSpe/fu+vOf/6wtW7ZI+unoz7x58/T444/r5ptvliS98soriomJ0apVqzRmzBh99tlnWr9+vbZu3aohQ4ZIkhYuXKjrr79ezz33nOLj47VixQpVV1dr2bJlCg8PV58+fVRaWqq5c+cGBCUAAIATBT0AXXHFFVq6dKm++OILXXzxxfrkk0/0wQcfaO7cuZKkffv2yePxKCUlxd4mKipKSUlJKioq0pgxY1RUVKTo6Gg7/EhSSkqKQkNDVVxcrFtuuUVFRUW65pprFB4ebo9JS0vTrFmz9MMPP6hDhw511lZVVaWqqir7sdfrlST5fD75fL6gvQb+uVyhVlDnbY789Tm9TolanYpanceUOiVzaw1GvUEPQJMnT5bX61XPnj3VqlUr1dTU6KmnnlJGRoYkyePxSJJiYmICtouJibH7PB6PunTpErjQ1q3VsWPHgDGJiYl15vD31ReAcnNzNX369Drt+fn5atu2bUPKPaWZQ2q1bt26oM/bHLnd7qZewjlDrc5Erc5jSp2SebVWVlae9TxBD0BvvPGGVqxYoby8PPu01KRJkxQfH6+xY8cG++nOyJQpU5SdnW0/9nq9SkhIUGpqqiIjI4P2PD6fT263W1O3haokZ3jQ5m2O/LUOGzZMYWFhTb2cRkWtzkStzmNKnZK5tR45cuSs5wt6AHr44Yc1efJkjRkzRpLUr18/ff3118rNzdXYsWMVGxsrSSorK1NcXJy9XVlZmQYOHChJio2NVXl5ecC8x44d04EDB+ztY2NjVVZWFjDG/9g/5kQul0sul6tOe1hYWKO8capqQxz/hvRrrNewOaJWZ6JW5zGlTsm8Wo8dO3bW8wT9LrDKykqFhgZO26pVK9XW1kqSEhMTFRsbq4KCArvf6/WquLhYycnJkqTk5GRVVFSopKTEHrNx40bV1tYqKSnJHlNYWBhwHtDtdqtHjx71nv4CAADwC3oAuvHGG/XUU09p7dq1+tvf/qaVK1dq7ty5uuWWWyRJISEhmjRpkp588kmtXr1aO3fu1N133634+HiNHDlSktSrVy8NHz5c48eP15YtW/Thhx8qKytLY8aMUXx8vCTpjjvuUHh4uMaNG6fdu3fr9ddf1/z58wNOcQEAANQn6KfAFi5cqKlTp+rBBx9UeXm54uPj9e///u/KycmxxzzyyCM6fPiwJkyYoIqKCl111VVav369IiIi7DErVqxQVlaWhg4dqtDQUI0aNUoLFiyw+6OiopSfn6/MzEwNHjxYnTt3Vk5ODrfAAwCAnxX0ANS+fXvNmzdP8+bNO+mYkJAQzZgxQzNmzDjpmI4dOyovL++Uz9W/f3+9//77DV0qAAAwFH8LDAAAGIcABAAAjEMAAgAAxiEAAQAA4xCAAACAcQhAAADAOAQgAABgHAIQAAAwDgEIAAAYhwAEAACMQwACAADGIQABAADjEIAAAIBxCEAAAMA4BCAAAGAcAhAAADAOAQgAABiHAAQAAIxDAAIAAMYhAAEAAOMQgAAAgHEIQAAAwDgEIAAAYBwCEAAAMA4BCAAAGIcABAAAjEMAAgAAxiEAAQAA4xCAAACAcQhAAADAOAQgAABgHAIQAAAwDgEIAAAYhwAEAACMQwACAADGIQABAADjEIAAAIBxCEAAAMA4BCAAAGAcAhAAADAOAQgAABiHAAQAAIxDAAIAAMYhAAEAAOMQgAAAgHEIQAAAwDiNEoC+/fZb3XnnnerUqZPatGmjfv36adu2bXa/ZVnKyclRXFyc2rRpo5SUFO3duzdgjgMHDigjI0ORkZGKjo7WuHHjdOjQoYAxO3bs0NVXX62IiAglJCRo9uzZjVEOAABwmKAHoB9++EFXXnmlwsLC9Ne//lWffvqp5syZow4dOthjZs+erQULFmjJkiUqLi5Wu3btlJaWpqNHj9pjMjIytHv3brndbq1Zs0aFhYWaMGGC3e/1epWamqpu3bqppKREzz77rKZNm6alS5cGuyQAAOAwrYM94axZs5SQkKCXX37ZbktMTLT/27IszZs3T48//rhuvvlmSdIrr7yimJgYrVq1SmPGjNFnn32m9evXa+vWrRoyZIgkaeHChbr++uv13HPPKT4+XitWrFB1dbWWLVum8PBw9enTR6WlpZo7d25AUAIAADhR0APQ6tWrlZaWptGjR2vTpk06//zz9eCDD2r8+PGSpH379snj8SglJcXeJioqSklJSSoqKtKYMWNUVFSk6OhoO/xIUkpKikJDQ1VcXKxbbrlFRUVFuuaaaxQeHm6PSUtL06xZs/TDDz8EHHHyq6qqUlVVlf3Y6/VKknw+n3w+X9BeA/9crlArqPM2R/76nF6nRK1ORa3OY0qdkrm1BqPeoAegr776SosXL1Z2drYee+wxbd26Vb/97W8VHh6usWPHyuPxSJJiYmICtouJibH7PB6PunTpErjQ1q3VsWPHgDHHH1k6fk6Px1NvAMrNzdX06dPrtOfn56tt27YNrPjkZg6p1bp164I+b3PkdrubegnnDLU6E7U6jyl1SubVWllZedbzBD0A1dbWasiQIXr66aclSYMGDdKuXbu0ZMkSjR07NthPd0amTJmi7Oxs+7HX61VCQoJSU1MVGRkZtOfx+Xxyu92aui1UJTnDgzZvc+SvddiwYQoLC2vq5TQqanUmanUeU+qUzK31yJEjZz1f0ANQXFycevfuHdDWq1cv/dd//ZckKTY2VpJUVlamuLg4e0xZWZkGDhxojykvLw+Y49ixYzpw4IC9fWxsrMrKygLG+B/7x5zI5XLJ5XLVaQ8LC2uUN05VbYjj35B+jfUaNkfU6kzU6jym1CmZV+uxY8fOep6g3wV25ZVXas+ePQFtX3zxhbp16ybppwuiY2NjVVBQYPd7vV4VFxcrOTlZkpScnKyKigqVlJTYYzZu3Kja2lolJSXZYwoLCwPOA7rdbvXo0aPe018AAAB+QQ9ADz30kD766CM9/fTT+vLLL5WXl6elS5cqMzNTkhQSEqJJkybpySef1OrVq7Vz507dfffdio+P18iRIyX9dMRo+PDhGj9+vLZs2aIPP/xQWVlZGjNmjOLj4yVJd9xxh8LDwzVu3Djt3r1br7/+uubPnx9wigsAAKA+QT8Fdumll2rlypWaMmWKZsyYocTERM2bN08ZGRn2mEceeUSHDx/WhAkTVFFRoauuukrr169XRESEPWbFihXKysrS0KFDFRoaqlGjRmnBggV2f1RUlPLz85WZmanBgwerc+fOysnJ4RZ4AADws4IegCTphhtu0A033HDS/pCQEM2YMUMzZsw46ZiOHTsqLy/vlM/Tv39/vf/++w1eJwAAMBN/CwwAABiHAAQAAIxDAAIAAMYhAAEAAOMQgAAAgHEIQAAAwDgEIAAAYBwCEAAAMA4BCAAAGIcABAAAjEMAAgAAxiEAAQAA4xCAAACAcQhAAADAOAQgAABgHAIQAAAwDgEIAAAYhwAEAACMQwACAADGIQABAADjEIAAAIBxCEAAAMA4BCAAAGAcAhAAADAOAQgAABiHAAQAAIxDAAIAAMYhAAEAAOMQgAAAgHEIQAAAwDgEoEbWffLapl4CAAA4AQEIAAAYhwAEAACMQwACAADGIQABAADjEIAAAIBxCEAAAMA4BCAAAGAcAhAAADAOAQgAABiHAAQAAIxDAAIAAMYhAAEAAOMQgAAAgHEIQAAAwDgEIAAAYJxGD0DPPPOMQkJCNGnSJLvt6NGjyszMVKdOnXTeeedp1KhRKisrC9hu//79Sk9PV9u2bdWlSxc9/PDDOnbsWMCY9957T5dccolcLpcuuugiLV++vLHLAQAADtCoAWjr1q36z//8T/Xv3z+g/aGHHtLbb7+tN998U5s2bdJ3332nW2+91e6vqalRenq6qqurtXnzZv3pT3/S8uXLlZOTY4/Zt2+f0tPTdd1116m0tFSTJk3Sfffdpw0bNjRmSQAAwAEaLQAdOnRIGRkZ+uMf/6gOHTrY7QcPHtRLL72kuXPn6le/+pUGDx6sl19+WZs3b9ZHH30kScrPz9enn36qV199VQMHDtSIESM0c+ZMLVq0SNXV1ZKkJUuWKDExUXPmzFGvXr2UlZWlX//613r++ecbqyQAAOAQrRtr4szMTKWnpyslJUVPPvmk3V5SUiKfz6eUlBS7rWfPnuratauKiop0+eWXq6ioSP369VNMTIw9Ji0tTQ888IB2796tQYMGqaioKGAO/5jjT7WdqKqqSlVVVfZjr9crSfL5fPL5fGdbss0/lyvUCnjsRP7anFyjH7U6E7U6jyl1SubWGox6GyUAvfbaa/r444+1devWOn0ej0fh4eGKjo4OaI+JiZHH47HHHB9+/P3+vlON8Xq9OnLkiNq0aVPnuXNzczV9+vQ67fn5+Wrbtu3pF3iaZg6plSStW7cu6HM3N263u6mXcM5QqzNRq/OYUqdkXq2VlZVnPU/QA9A333yjiRMnyu12KyIiItjTn5UpU6YoOzvbfuz1epWQkKDU1FRFRkYG7Xl8Pp/cbrembgtVVW2Idk1LC9rczY2/1mHDhiksLKypl9OoqNWZqNV5TKlTMrfWI0eOnPV8QQ9AJSUlKi8v1yWXXGK31dTUqLCwUC+88II2bNig6upqVVRUBBwFKisrU2xsrCQpNjZWW7ZsCZjXf5fY8WNOvHOsrKxMkZGR9R79kSSXyyWXy1WnPSwsrFHeOFW1IaqqCXH8m1JqvNewOaJWZ6JW5zGlTsm8Wk+8K7whgn4R9NChQ7Vz506VlpbaP0OGDFFGRob932FhYSooKLC32bNnj/bv36/k5GRJUnJysnbu3Kny8nJ7jNvtVmRkpHr37m2POX4O/xj/HAAAACcT9CNA7du3V9++fQPa2rVrp06dOtnt48aNU3Z2tjp27KjIyEj9x3/8h5KTk3X55ZdLklJTU9W7d2/dddddmj17tjwejx5//HFlZmbaR3Duv/9+vfDCC3rkkUd07733auPGjXrjjTe0du3aYJcEAAAcptHuAjuV559/XqGhoRo1apSqqqqUlpamP/zhD3Z/q1attGbNGj3wwANKTk5Wu3btNHbsWM2YMcMek5iYqLVr1+qhhx7S/PnzdcEFF+jFF19UWppzr7cBAADBcU4C0HvvvRfwOCIiQosWLdKiRYtOuk23bt1+9u6pa6+9Vtu3bw/GEgEAgEH4W2AAAMA4BCAAAGAcAhAAADAOAQgAABiHAAQAAIxDAAIAAMYhAAEtVPfJfOknADQUAQgAABiHAAQAAIxDAAIAAMYhAAEAAOMQgAAAgHEIQAAAwDgEIAAAYBwCEAAAMA4BCHAQvhwRAE4PAQhoYQg5AHD2CEAAAMA4BCAAAGAcAhAAADAOAQgAABiHAAQAAIxDAAIMwJ1jABCIAAS0AA0NMAQfAKgfAQho4Qg5AHDmCEAAAMA4BCAAAGAcAhAAADAOAQgAABiHAAQ0Q8df2MxFzgAQfAQgAABgHAIQ0IL5jw5xlAgAzgwBCGhBThV0OG0GAKePAAQAAIxDAAKaMY7kAEDjIAABBiJYATAdAQgwGEEIgKkIQEALRHABgLNDAAJw2gheAJyCAAQYhAADAD8hAAEAAOMQgIAm0lyOxpy4juayLgBoTAQgoImd7p+zIJgAQPAQgACHISgBwM8jAAHnGAEFAJoeAQhops51UCKYATBJ0ANQbm6uLr30UrVv315dunTRyJEjtWfPnoAxR48eVWZmpjp16qTzzjtPo0aNUllZWcCY/fv3Kz09XW3btlWXLl308MMP69ixYwFj3nvvPV1yySVyuVy66KKLtHz58mCXAwAAHCjoAWjTpk3KzMzURx99JLfbLZ/Pp9TUVB0+fNge89BDD+ntt9/Wm2++qU2bNum7777TrbfeavfX1NQoPT1d1dXV2rx5s/70pz9p+fLlysnJscfs27dP6enpuu6661RaWqpJkybpvvvu04YNG4JdEoATcLQIQEvXOtgTrl+/PuDx8uXL1aVLF5WUlOiaa67RwYMH9dJLLykvL0+/+tWvJEkvv/yyevXqpY8++kiXX3658vPz9emnn+qdd95RTEyMBg4cqJkzZ+rRRx/VtGnTFB4eriVLligxMVFz5syRJPXq1UsffPCBnn/+eaWlpQW7LKDBuk9eq789k37SvtNpa+jzAgDqF/QAdKKDBw9Kkjp27ChJKikpkc/nU0pKij2mZ8+e6tq1q4qKinT55ZerqKhI/fr1U0xMjD0mLS1NDzzwgHbv3q1BgwapqKgoYA7/mEmTJp10LVVVVaqqqrIfe71eSZLP55PP5zvrWv38c7lCrYDHTuSvzck1+jW0VlcrK2Ab/2NXKytg7vrag6HH79fI1arucxz/XPX1+dvrq+XEmloy3sPOY0qdkrm1BqPeEMuygvvb9ji1tbW66aabVFFRoQ8++ECSlJeXp3vuuScgiEjSZZddpuuuu06zZs3ShAkT9PXXXweczqqsrFS7du20bt06jRgxQhdffLHuueceTZkyxR6zbt06paenq7KyUm3atKmznmnTpmn69Ol12vPy8tS2bdtglQ0AABpRZWWl7rjjDh08eFCRkZENmqNRjwBlZmZq165ddvhpalOmTFF2drb92Ov1KiEhQampqQ1+Aevj8/nkdrs1dVuoqmpDtGuac0/J+WsdNmyYwsLCmno5jaqhtfadtiHgPeB/3Hda3evVTtYeDP65T/y3vr7tv/9VQK2ns11LxXvYeUypUzK31iNHjpz1fI0WgLKysrRmzRoVFhbqggsusNtjY2NVXV2tiooKRUdH2+1lZWWKjY21x2zZsiVgPv9dYsePOfHOsbKyMkVGRtZ79EeSXC6XXC5XnfawsLBGeeNU1YaoqibE8W9KqfFew+boTGs98T3gf1xVE1Lv3PW1B8Mvp+ZL+v/PffxzndjmX6+/1hP76tuupeM97Dym1CmZV+uJd4U3RNDvArMsS1lZWVq5cqU2btyoxMTEgP7BgwcrLCxMBQUFdtuePXu0f/9+JScnS5KSk5O1c+dOlZeX22PcbrciIyPVu3dve8zxc/jH+OcAWiIuXAaAcyPoASgzM1Ovvvqq8vLy1L59e3k8Hnk8HvtwVVRUlMaNG6fs7Gy9++67Kikp0T333KPk5GRdfvnlkqTU1FT17t1bd911lz755BNt2LBBjz/+uDIzM+0jOPfff7+++uorPfLII/r888/1hz/8QW+88YYeeuihYJcENIgT/shoY52OA4CmFvQAtHjxYh08eFDXXnut4uLi7J/XX3/dHvP888/rhhtu0KhRo3TNNdcoNjZWb731lt3fqlUrrVmzRq1atVJycrLuvPNO3X333ZoxY4Y9JjExUWvXrpXb7daAAQM0Z84cvfjii9wCj2atuYegs1lfc68NAI4X9GuATuemsoiICC1atEiLFi066Zhu3bpp3bp1p5zn2muv1fbt2894jQAILADMxt8CA5pAU4YPgg8AEICARuGE638AwMkIQOcAH34AADQvBCAAAGAcAhAAADAOAQhAo5ym5dQvgOaMAATgjBBsADgBAQhAHcd/A/TpBB5CEYCWhgAENCInBYOG1uKk1wCAcxCAgLPAhzsAtEwEIAAAYBwCEBBEHBECgJaBAASgweoLfIRAAC0BAQgAABiHAAQEmclHQEyuHUDLQgACAADGIQABQcLRDwBoOQhAQBAQfgCgZSEAAQ1E6AGAlosABJyh4/9OFk7f8YGR8AigqRGAgNN0suDDhzkAtDwEIABB5w+FhEMAzRUB6BzhgwAAgOaDAAT8DMIrADgPAQgAABiHAATUg6M+AOBsBCDgNJwYiAhIZ+ZkrxevI4CmQgCC0X7uA5gPaABwptZNvQAA5iBQAmguOAIEI53slBbfVgwAZiAAAf8PgQcAzEEAAtDkCJ8AzjUCEAAAMA4BCEap70gDt7g3DV5nAE2JAATHOtkf5OSDt3lhfwBoCgQgOBJHeloe9geAc4kAdA6d7IgEgqf75LW8vgCAn0UAOsf4cD63CJ0AgPoQgJrIiUcq+AK+M8MXFwIAzgYBqImd+AHOh3hdJ4ad07m+By0X+xLAuUAAagZO9oHOB8GpcXoLANBQBCCcU6cKK6c6rUXYMQP7F8C5QgBq5o4/EuSk612Or6m+GjkCZjb2PYDGRgBqIeoLBg39kAjGh8upTtv93PwczcHp4P0BoDG1buoF4Oz4PyT+9ky6uk9ea/97srb6tjvZXPU5vq/75LVytbI0+zKp77QNkkLOaC4AAJoKAcghTuf6mVNt93Ntp9MXjPHA8eoL6gAQDC3+FNiiRYvUvXt3RUREKCkpSVu2bGnqJQEIMoI0gGBr0QHo9ddfV3Z2tp544gl9/PHHGjBggNLS0lReXt7USwPQCLh+DECwtOgANHfuXI0fP1733HOPevfurSVLlqht27ZatmxZUy8NQJA58W5IAE2nxV4DVF1drZKSEk2ZMsVuCw0NVUpKioqKiurdpqqqSlVVVfbjgwcPSpIOHDggn88XtLX5fD5VVlaqtS9UNbUhP79BC9a61lJlZS21OkxLqPWi//OGWkv65z//qaTcAhVPGWr/eyb8/3v95z//qbCwsMZZbDNhSq2m1CmZW+vRo0clSZZlNXi+FhuA/vGPf6impkYxMTEB7TExMfr888/r3SY3N1fTp0+v056YmNgoazTFHU29gHOIWpufznPq/xeA8/3444+Kiopq0LYtNgA1xJQpU5SdnW0/rq2t1YEDB9SpUyeFhATv/+V6vV4lJCTom2++UWRkZNDmbY6o1Zmo1ZlMqdWUOiVza23fvr1+/PFHxcfHN3i+FhuAOnfurFatWqmsrCygvaysTLGxsfVu43K55HK5Atqio6Mba4mKjIx0/BvSj1qdiVqdyZRaTalTMrPWhh758WuxF0GHh4dr8ODBKigosNtqa2tVUFCg5OTkJlwZAABo7lrsESBJys7O1tixYzVkyBBddtllmjdvng4fPqx77rmnqZcGAACasRYdgG677Tb9/e9/V05OjjwejwYOHKj169fXuTD6XHO5XHriiSfqnG5zImp1Jmp1JlNqNaVOiVrPRoh1NveQAQAAtEAt9hogAACAhiIAAQAA4xCAAACAcQhAAADAOASgRrBo0SJ1795dERERSkpK0pYtW5p6SWetsLBQN954o+Lj4xUSEqJVq1YF9FuWpZycHMXFxalNmzZKSUnR3r17m2axZyE3N1eXXnqp2rdvry5dumjkyJHas2dPwJijR48qMzNTnTp10nnnnadRo0bV+ULOlmDx4sXq37+//aViycnJ+utf/2r3O6XO+jzzzDMKCQnRpEmT7Dan1Dtt2jSFhIQE/PTs2dPud0qdft9++63uvPNOderUSW3atFG/fv20bds2u98pv5u6d+9eZ7+GhIQoMzNTknP2a01NjaZOnarExES1adNGF154oWbOnBnwN7+Ctk8tBNVrr71mhYeHW8uWLbN2795tjR8/3oqOjrbKysqaemlnZd26ddbvf/9766233rIkWStXrgzof+aZZ6yoqChr1apV1ieffGLddNNNVmJionXkyJGmWXADpaWlWS+//LK1a9cuq7S01Lr++uutrl27WocOHbLH3H///VZCQoJVUFBgbdu2zbr88sutK664oglX3TCrV6+21q5da33xxRfWnj17rMcee8wKCwuzdu3aZVmWc+o80ZYtW6zu3btb/fv3tyZOnGi3O6XeJ554wurTp4/1/fff2z9///vf7X6n1GlZlnXgwAGrW7du1m9+8xuruLjY+uqrr6wNGzZYX375pT3GKb+bysvLA/ap2+22JFnvvvuuZVnO2a9PPfWU1alTJ2vNmjXWvn37rDfffNM677zzrPnz59tjgrVPCUBBdtlll1mZmZn245qaGis+Pt7Kzc1twlUF14kBqLa21oqNjbWeffZZu62iosJyuVzWn//85yZYYfCUl5dbkqxNmzZZlvVTXWFhYdabb75pj/nss88sSVZRUVFTLTNoOnToYL344ouOrfPHH3+0fvnLX1put9v613/9VzsAOaneJ554whowYEC9fU6q07Is69FHH7Wuuuqqk/Y7+XfTxIkTrQsvvNCqra111H5NT0+37r333oC2W2+91crIyLAsK7j7lFNgQVRdXa2SkhKlpKTYbaGhoUpJSVFRUVETrqxx7du3Tx6PJ6DuqKgoJSUltfi6Dx48KEnq2LGjJKmkpEQ+ny+g1p49e6pr164tutaamhq99tprOnz4sJKTkx1bZ2ZmptLT0wPqkpy3X/fu3av4+Hj94he/UEZGhvbv3y/JeXWuXr1aQ4YM0ejRo9WlSxcNGjRIf/zjH+1+p/5uqq6u1quvvqp7771XISEhjtqvV1xxhQoKCvTFF19Ikj755BN98MEHGjFihKTg7tMW/U3Qzc0//vEP1dTU1Pkm6piYGH3++edNtKrG5/F4JKneuv19LVFtba0mTZqkK6+8Un379pX0U63h4eF1/ohuS611586dSk5O1tGjR3Xeeedp5cqV6t27t0pLSx1VpyS99tpr+vjjj7V169Y6fU7ar0lJSVq+fLl69Oih77//XtOnT9fVV1+tXbt2OapOSfrqq6+0ePFiZWdn67HHHtPWrVv129/+VuHh4Ro7dqxjfzetWrVKFRUV+s1vfiPJWe/fyZMny+v1qmfPnmrVqpVqamr01FNPKSMjQ1JwP28IQMBJZGZmateuXfrggw+aeimNpkePHiotLdXBgwf1l7/8RWPHjtWmTZuaellB980332jixIlyu92KiIho6uU0Kv//U5ak/v37KykpSd26ddMbb7yhNm3aNOHKgq+2tlZDhgzR008/LUkaNGiQdu3apSVLlmjs2LFNvLrG89JLL2nEiBGKj49v6qUE3RtvvKEVK1YoLy9Pffr0UWlpqSZNmqT4+Pig71NOgQVR586d1apVqzpX3peVlSk2NraJVtX4/LU5qe6srCytWbNG7777ri644AK7PTY2VtXV1aqoqAgY31JrDQ8P10UXXaTBgwcrNzdXAwYM0Pz58x1XZ0lJicrLy3XJJZeodevWat26tTZt2qQFCxaodevWiomJcVS9x4uOjtbFF1+sL7/80nH7NS4uTr179w5o69Wrl33Kz4m/m77++mu98847uu++++w2J+3Xhx9+WJMnT9aYMWPUr18/3XXXXXrooYeUm5srKbj7lAAUROHh4Ro8eLAKCgrsttraWhUUFCg5ObkJV9a4EhMTFRsbG1C31+tVcXFxi6vbsixlZWVp5cqV2rhxoxITEwP6Bw8erLCwsIBa9+zZo/3797e4WutTW1urqqoqx9U5dOhQ7dy5U6WlpfbPkCFDlJGRYf+3k+o93qFDh/Q///M/iouLc9x+vfLKK+t8TcUXX3yhbt26SXLW7ya/l19+WV26dFF6errd5qT9WllZqdDQwGjSqlUr1dbWSgryPj3rS7YR4LXXXrNcLpe1fPly69NPP7UmTJhgRUdHWx6Pp6mXdlZ+/PFHa/v27db27dstSdbcuXOt7du3W19//bVlWT/dlhgdHW3993//t7Vjxw7r5ptvbpG3mj7wwANWVFSU9d577wXcclpZWWmPuf/++62uXbtaGzdutLZt22YlJydbycnJTbjqhpk8ebK1adMma9++fdaOHTusyZMnWyEhIVZ+fr5lWc6p82SOvwvMspxT7+9+9zvrvffes/bt22d9+OGHVkpKitW5c2ervLzcsizn1GlZP32lQevWra2nnnrK2rt3r7VixQqrbdu21quvvmqPccrvJsv66a7irl27Wo8++midPqfs17Fjx1rnn3++fRv8W2+9ZXXu3Nl65JFH7DHB2qcEoEawcOFCq2vXrlZ4eLh12WWXWR999FFTL+msvfvuu5akOj9jx461LOunWxOnTp1qxcTEWC6Xyxo6dKi1Z8+epl10A9RXoyTr5ZdftsccOXLEevDBB60OHTpYbdu2tW655Rbr+++/b7pFN9C9995rdevWzQoPD7f+5V/+xRo6dKgdfizLOXWezIkByCn13nbbbVZcXJwVHh5unX/++dZtt90W8L04TqnT7+2337b69u1ruVwuq2fPntbSpUsD+p3yu8myLGvDhg2WpHrX75T96vV6rYkTJ1pdu3a1IiIirF/84hfW73//e6uqqsoeE6x9GmJZx329IgAAgAG4BggAABiHAAQAAIxDAAIAAMYhAAEAAOMQgAAAgHEIQAAAwDgEIAAAYBwCEAAAMA4BCAAAGIcABAAAjEMAAgAAxiEAAQAA4/xfIMRG1pl0ZD4AAAAASUVORK5CYII=", "text/plain": [ "
" ] @@ -3936,7 +4160,14 @@ { "cell_type": "code", "execution_count": 49, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:03:10.131798Z", + "iopub.status.busy": "2024-08-16T21:03:10.131443Z", + "iopub.status.idle": "2024-08-16T21:03:10.438689Z", + "shell.execute_reply": "2024-08-16T21:03:10.438077Z" + } + }, "outputs": [ { "data": { @@ -4009,35 +4240,35 @@ " ...\n", " \n", " \n", - " 1443216\n", + " 1465333\n", " 21.3\n", " PSS\n", " NaN\n", " 21.3 Practical_Salinity_Units\n", " \n", " \n", - " 1443218\n", + " 1465335\n", " 20.97\n", " PSS\n", " NaN\n", " 20.97 Practical_Salinity_Units\n", " \n", " \n", - " 1443221\n", + " 1465338\n", " 19.9\n", " PSS\n", " NaN\n", " 19.9 Practical_Salinity_Units\n", " \n", " \n", - " 1443227\n", + " 1465344\n", " 20.4\n", " PSS\n", " NaN\n", " 20.4 Practical_Salinity_Units\n", " \n", " \n", - " 1443228\n", + " 1465345\n", " 21.8\n", " PSS\n", " NaN\n", @@ -4045,7 +4276,7 @@ " \n", " \n", "\n", - "

264934 rows × 4 columns

\n", + "

268435 rows × 4 columns

\n", "" ], "text/plain": [ @@ -4056,11 +4287,11 @@ "15 0.18 ppth NaN \n", "17 5.9 ppth NaN \n", "... ... ... ... \n", - "1443216 21.3 PSS NaN \n", - "1443218 20.97 PSS NaN \n", - "1443221 19.9 PSS NaN \n", - "1443227 20.4 PSS NaN \n", - "1443228 21.8 PSS NaN \n", + "1465333 21.3 PSS NaN \n", + "1465335 20.97 PSS NaN \n", + "1465338 19.9 PSS NaN \n", + "1465344 20.4 PSS NaN \n", + "1465345 21.8 PSS NaN \n", "\n", " Salinity \n", "1 40.0 Practical_Salinity_Units \n", @@ -4069,13 +4300,13 @@ "15 0.18 Practical_Salinity_Units \n", "17 5.9 Practical_Salinity_Units \n", "... ... \n", - "1443216 21.3 Practical_Salinity_Units \n", - "1443218 20.97 Practical_Salinity_Units \n", - "1443221 19.9 Practical_Salinity_Units \n", - "1443227 20.4 Practical_Salinity_Units \n", - "1443228 21.8 Practical_Salinity_Units \n", + "1465333 21.3 Practical_Salinity_Units \n", + "1465335 20.97 Practical_Salinity_Units \n", + "1465338 19.9 Practical_Salinity_Units \n", + "1465344 20.4 Practical_Salinity_Units \n", + "1465345 21.8 Practical_Salinity_Units \n", "\n", - "[264934 rows x 4 columns]" + "[268435 rows x 4 columns]" ] }, "execution_count": 49, @@ -4098,16 +4329,15 @@ { "cell_type": "code", "execution_count": 50, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:03:10.440990Z", + "iopub.status.busy": "2024-08-16T21:03:10.440643Z", + "iopub.status.idle": "2024-08-16T21:03:20.815173Z", + "shell.execute_reply": "2024-08-16T21:03:20.814527Z" + } + }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" - ] - }, { "name": "stdout", "output_type": "stream", @@ -4124,12 +4354,12 @@ "dtype: float64\n", "Unusable results: 2\n", "Usable results with inferred units: 0\n", - "Results outside threshold (0.0 to 28.769965070579048): 0\n" + "Results outside threshold (0.0 to 28.769965070579055): 0\n" ] }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -4146,7 +4376,14 @@ { "cell_type": "code", "execution_count": 51, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:03:20.818110Z", + "iopub.status.busy": "2024-08-16T21:03:20.817723Z", + "iopub.status.idle": "2024-08-16T21:03:20.895140Z", + "shell.execute_reply": "2024-08-16T21:03:20.894555Z" + } + }, "outputs": [ { "data": { @@ -4177,35 +4414,35 @@ " \n", " \n", " \n", - " 221819\n", + " 221815\n", " 0.39\n", " mg/L\n", " NaN\n", " 0.39 milligram / liter\n", " \n", " \n", - " 237914\n", + " 237910\n", " 0.4475\n", " mg/L\n", " NaN\n", " 0.4475 milligram / liter\n", " \n", " \n", - " 240682\n", + " 240678\n", " 0.425\n", " mg/L\n", " NaN\n", " 0.425 milligram / liter\n", " \n", " \n", - " 254260\n", + " 254255\n", " 0.4625\n", " mg/L\n", " NaN\n", " 0.4625 milligram / liter\n", " \n", " \n", - " 255865\n", + " 255860\n", " 0.33625\n", " mg/L\n", " NaN\n", @@ -4219,35 +4456,35 @@ " ...\n", " \n", " \n", - " 1433683\n", + " 1463816\n", " 0.084\n", " mg/l\n", " NaN\n", " 0.084 milligram / liter\n", " \n", " \n", - " 1433691\n", + " 1463824\n", " 0.166\n", " mg/l\n", " NaN\n", " 0.166 milligram / liter\n", " \n", " \n", - " 1433701\n", + " 1463834\n", " 0.091\n", " mg/l\n", " NaN\n", " 0.091 milligram / liter\n", " \n", " \n", - " 1433735\n", + " 1463868\n", " 0.057\n", " mg/l\n", " NaN\n", " 0.057 milligram / liter\n", " \n", " \n", - " 1433890\n", + " 1464023\n", " 0.030\n", " mg/l\n", " NaN\n", @@ -4260,30 +4497,30 @@ ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag \\\n", - "221819 0.39 mg/L NaN \n", - "237914 0.4475 mg/L NaN \n", - "240682 0.425 mg/L NaN \n", - "254260 0.4625 mg/L NaN \n", - "255865 0.33625 mg/L NaN \n", + "221815 0.39 mg/L NaN \n", + "237910 0.4475 mg/L NaN \n", + "240678 0.425 mg/L NaN \n", + "254255 0.4625 mg/L NaN \n", + "255860 0.33625 mg/L NaN \n", "... ... ... ... \n", - "1433683 0.084 mg/l NaN \n", - "1433691 0.166 mg/l NaN \n", - "1433701 0.091 mg/l NaN \n", - "1433735 0.057 mg/l NaN \n", - "1433890 0.030 mg/l NaN \n", + "1463816 0.084 mg/l NaN \n", + "1463824 0.166 mg/l NaN \n", + "1463834 0.091 mg/l NaN \n", + "1463868 0.057 mg/l NaN \n", + "1464023 0.030 mg/l NaN \n", "\n", " Nitrogen \n", - "221819 0.39 milligram / liter \n", - "237914 0.4475 milligram / liter \n", - "240682 0.425 milligram / liter \n", - "254260 0.4625 milligram / liter \n", - "255865 0.33625 milligram / liter \n", + "221815 0.39 milligram / liter \n", + "237910 0.4475 milligram / liter \n", + "240678 0.425 milligram / liter \n", + "254255 0.4625 milligram / liter \n", + "255860 0.33625 milligram / liter \n", "... ... \n", - "1433683 0.084 milligram / liter \n", - "1433691 0.166 milligram / liter \n", - "1433701 0.091 milligram / liter \n", - "1433735 0.057 milligram / liter \n", - "1433890 0.03 milligram / liter \n", + "1463816 0.084 milligram / liter \n", + "1463824 0.166 milligram / liter \n", + "1463834 0.091 milligram / liter \n", + "1463868 0.057 milligram / liter \n", + "1464023 0.03 milligram / liter \n", "\n", "[165 rows x 4 columns]" ] @@ -4308,16 +4545,15 @@ { "cell_type": "code", "execution_count": 52, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:03:20.897271Z", + "iopub.status.busy": "2024-08-16T21:03:20.897090Z", + "iopub.status.idle": "2024-08-16T21:03:26.370264Z", + "shell.execute_reply": "2024-08-16T21:03:26.369556Z" + } + }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" - ] - }, { "name": "stdout", "output_type": "stream", @@ -4339,7 +4575,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -4356,7 +4592,14 @@ { "cell_type": "code", "execution_count": 53, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:03:26.372854Z", + "iopub.status.busy": "2024-08-16T21:03:26.372631Z", + "iopub.status.idle": "2024-08-16T21:03:26.446860Z", + "shell.execute_reply": "2024-08-16T21:03:26.446325Z" + } + }, "outputs": [ { "data": { @@ -4387,126 +4630,126 @@ " \n", " \n", " \n", - " 385072\n", + " 435912\n", " NaN\n", " uS/cm\n", " ResultMeasureValue: missing (NaN) result\n", " NaN\n", " \n", " \n", - " 390188\n", + " 441028\n", " NaN\n", " uS/cm\n", " ResultMeasureValue: missing (NaN) result\n", " NaN\n", " \n", " \n", - " 391236\n", + " 442076\n", " NaN\n", " uS/cm\n", " ResultMeasureValue: missing (NaN) result\n", " NaN\n", " \n", " \n", - " 393815\n", + " 444655\n", " NaN\n", " uS/cm\n", " ResultMeasureValue: missing (NaN) result\n", " NaN\n", " \n", " \n", - " 394231\n", + " 445071\n", " NaN\n", " uS/cm\n", " ResultMeasureValue: missing (NaN) result\n", " NaN\n", " \n", " \n", - " 396562\n", + " 447404\n", " NaN\n", " uS/cm\n", " ResultMeasureValue: missing (NaN) result\n", " NaN\n", " \n", " \n", - " 401373\n", + " 452215\n", " NaN\n", " uS/cm\n", " ResultMeasureValue: missing (NaN) result\n", " NaN\n", " \n", " \n", - " 417407\n", + " 468248\n", " NaN\n", " uS/cm\n", " ResultMeasureValue: missing (NaN) result\n", " NaN\n", " \n", " \n", - " 479303\n", + " 479322\n", " 626\n", " uS/cm\n", " NaN\n", " 626.0 microsiemens / centimeter\n", " \n", " \n", - " 483927\n", + " 483940\n", " 688\n", " uS/cm\n", " NaN\n", " 688.0 microsiemens / centimeter\n", " \n", " \n", - " 501480\n", + " 501511\n", " 606\n", " uS/cm\n", " NaN\n", " 606.0 microsiemens / centimeter\n", " \n", " \n", - " 502341\n", + " 502372\n", " 606\n", " uS/cm\n", " NaN\n", " 606.0 microsiemens / centimeter\n", " \n", " \n", - " 505456\n", + " 505494\n", " 633\n", " uS/cm\n", " NaN\n", " 633.0 microsiemens / centimeter\n", " \n", " \n", - " 574674\n", + " 574710\n", " 775\n", " uS/cm\n", " NaN\n", " 775.0 microsiemens / centimeter\n", " \n", " \n", - " 577422\n", + " 577458\n", " 776\n", " uS/cm\n", " NaN\n", " 776.0 microsiemens / centimeter\n", " \n", " \n", - " 578392\n", + " 578428\n", " 776\n", " uS/cm\n", " NaN\n", " 776.0 microsiemens / centimeter\n", " \n", " \n", - " 580503\n", + " 580540\n", " 776\n", " uS/cm\n", " NaN\n", " 776.0 microsiemens / centimeter\n", " \n", " \n", - " 585778\n", + " 585811\n", " 775\n", " uS/cm\n", " NaN\n", @@ -4518,64 +4761,64 @@ ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode \\\n", - "385072 NaN uS/cm \n", - "390188 NaN uS/cm \n", - "391236 NaN uS/cm \n", - "393815 NaN uS/cm \n", - "394231 NaN uS/cm \n", - "396562 NaN uS/cm \n", - "401373 NaN uS/cm \n", - "417407 NaN uS/cm \n", - "479303 626 uS/cm \n", - "483927 688 uS/cm \n", - "501480 606 uS/cm \n", - "502341 606 uS/cm \n", - "505456 633 uS/cm \n", - "574674 775 uS/cm \n", - "577422 776 uS/cm \n", - "578392 776 uS/cm \n", - "580503 776 uS/cm \n", - "585778 775 uS/cm \n", + "435912 NaN uS/cm \n", + "441028 NaN uS/cm \n", + "442076 NaN uS/cm \n", + "444655 NaN uS/cm \n", + "445071 NaN uS/cm \n", + "447404 NaN uS/cm \n", + "452215 NaN uS/cm \n", + "468248 NaN uS/cm \n", + "479322 626 uS/cm \n", + "483940 688 uS/cm \n", + "501511 606 uS/cm \n", + "502372 606 uS/cm \n", + "505494 633 uS/cm \n", + "574710 775 uS/cm \n", + "577458 776 uS/cm \n", + "578428 776 uS/cm \n", + "580540 776 uS/cm \n", + "585811 775 uS/cm \n", "\n", " QA_flag \\\n", - "385072 ResultMeasureValue: missing (NaN) result \n", - "390188 ResultMeasureValue: missing (NaN) result \n", - "391236 ResultMeasureValue: missing (NaN) result \n", - "393815 ResultMeasureValue: missing (NaN) result \n", - "394231 ResultMeasureValue: missing (NaN) result \n", - "396562 ResultMeasureValue: missing (NaN) result \n", - "401373 ResultMeasureValue: missing (NaN) result \n", - "417407 ResultMeasureValue: missing (NaN) result \n", - "479303 NaN \n", - "483927 NaN \n", - "501480 NaN \n", - "502341 NaN \n", - "505456 NaN \n", - "574674 NaN \n", - "577422 NaN \n", - "578392 NaN \n", - "580503 NaN \n", - "585778 NaN \n", + "435912 ResultMeasureValue: missing (NaN) result \n", + "441028 ResultMeasureValue: missing (NaN) result \n", + "442076 ResultMeasureValue: missing (NaN) result \n", + "444655 ResultMeasureValue: missing (NaN) result \n", + "445071 ResultMeasureValue: missing (NaN) result \n", + "447404 ResultMeasureValue: missing (NaN) result \n", + "452215 ResultMeasureValue: missing (NaN) result \n", + "468248 ResultMeasureValue: missing (NaN) result \n", + "479322 NaN \n", + "483940 NaN \n", + "501511 NaN \n", + "502372 NaN \n", + "505494 NaN \n", + "574710 NaN \n", + "577458 NaN \n", + "578428 NaN \n", + "580540 NaN \n", + "585811 NaN \n", "\n", " Conductivity \n", - "385072 NaN \n", - "390188 NaN \n", - "391236 NaN \n", - "393815 NaN \n", - "394231 NaN \n", - "396562 NaN \n", - "401373 NaN \n", - "417407 NaN \n", - "479303 626.0 microsiemens / centimeter \n", - "483927 688.0 microsiemens / centimeter \n", - "501480 606.0 microsiemens / centimeter \n", - "502341 606.0 microsiemens / centimeter \n", - "505456 633.0 microsiemens / centimeter \n", - "574674 775.0 microsiemens / centimeter \n", - "577422 776.0 microsiemens / centimeter \n", - "578392 776.0 microsiemens / centimeter \n", - "580503 776.0 microsiemens / centimeter \n", - "585778 775.0 microsiemens / centimeter " + "435912 NaN \n", + "441028 NaN \n", + "442076 NaN \n", + "444655 NaN \n", + "445071 NaN \n", + "447404 NaN \n", + "452215 NaN \n", + "468248 NaN \n", + "479322 626.0 microsiemens / centimeter \n", + "483940 688.0 microsiemens / centimeter \n", + "501511 606.0 microsiemens / centimeter \n", + "502372 606.0 microsiemens / centimeter \n", + "505494 633.0 microsiemens / centimeter \n", + "574710 775.0 microsiemens / centimeter \n", + "577458 776.0 microsiemens / centimeter \n", + "578428 776.0 microsiemens / centimeter \n", + "580540 776.0 microsiemens / centimeter \n", + "585811 775.0 microsiemens / centimeter " ] }, "execution_count": 53, @@ -4598,16 +4841,15 @@ { "cell_type": "code", "execution_count": 54, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:03:26.449158Z", + "iopub.status.busy": "2024-08-16T21:03:26.448818Z", + "iopub.status.idle": "2024-08-16T21:03:39.290620Z", + "shell.execute_reply": "2024-08-16T21:03:39.290011Z" + } + }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" - ] - }, { "name": "stdout", "output_type": "stream", @@ -4629,7 +4871,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -4646,7 +4888,14 @@ { "cell_type": "code", "execution_count": 55, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:03:39.293037Z", + "iopub.status.busy": "2024-08-16T21:03:39.292654Z", + "iopub.status.idle": "2024-08-16T21:03:39.422486Z", + "shell.execute_reply": "2024-08-16T21:03:39.421916Z" + } + }, "outputs": [ { "data": { @@ -4677,35 +4926,35 @@ " \n", " \n", " \n", - " 220691\n", + " 220687\n", " 5.94\n", " ug/L\n", " NaN\n", " 0.005940000000000001 milligram / liter\n", " \n", " \n", - " 225845\n", + " 225841\n", " 1.45\n", " ug/L\n", " NaN\n", " 0.00145 milligram / liter\n", " \n", " \n", - " 226740\n", + " 226736\n", " 2.77\n", " ug/L\n", " NaN\n", " 0.00277 milligram / liter\n", " \n", " \n", - " 228078\n", + " 228074\n", " 3.87\n", " ug/L\n", " NaN\n", " 0.00387 milligram / liter\n", " \n", " \n", - " 235708\n", + " 235704\n", " 8.15\n", " ug/L\n", " NaN\n", @@ -4719,35 +4968,35 @@ " ...\n", " \n", " \n", - " 1443199\n", - " 26.48\n", + " 1465325\n", + " 18.16\n", " ug/l\n", " NaN\n", - " 0.02648 milligram / liter\n", + " 0.01816 milligram / liter\n", " \n", " \n", - " 1443209\n", - " 1.83\n", + " 1465326\n", + " 41.09\n", " ug/l\n", " NaN\n", - " 0.00183 milligram / liter\n", + " 0.04109 milligram / liter\n", " \n", " \n", - " 1443220\n", + " 1465337\n", " 23.55\n", " ug/l\n", " NaN\n", " 0.02355 milligram / liter\n", " \n", " \n", - " 1443222\n", + " 1465339\n", " 37.07\n", " ug/l\n", " NaN\n", " 0.03707 milligram / liter\n", " \n", " \n", - " 1443223\n", + " 1465340\n", " 61.95\n", " ug/l\n", " NaN\n", @@ -4760,30 +5009,30 @@ ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag \\\n", - "220691 5.94 ug/L NaN \n", - "225845 1.45 ug/L NaN \n", - "226740 2.77 ug/L NaN \n", - "228078 3.87 ug/L NaN \n", - "235708 8.15 ug/L NaN \n", + "220687 5.94 ug/L NaN \n", + "225841 1.45 ug/L NaN \n", + "226736 2.77 ug/L NaN \n", + "228074 3.87 ug/L NaN \n", + "235704 8.15 ug/L NaN \n", "... ... ... ... \n", - "1443199 26.48 ug/l NaN \n", - "1443209 1.83 ug/l NaN \n", - "1443220 23.55 ug/l NaN \n", - "1443222 37.07 ug/l NaN \n", - "1443223 61.95 ug/l NaN \n", + "1465325 18.16 ug/l NaN \n", + "1465326 41.09 ug/l NaN \n", + "1465337 23.55 ug/l NaN \n", + "1465339 37.07 ug/l NaN \n", + "1465340 61.95 ug/l NaN \n", "\n", " Chlorophyll \n", - "220691 0.005940000000000001 milligram / liter \n", - "225845 0.00145 milligram / liter \n", - "226740 0.00277 milligram / liter \n", - "228078 0.00387 milligram / liter \n", - "235708 0.008150000000000001 milligram / liter \n", + "220687 0.005940000000000001 milligram / liter \n", + "225841 0.00145 milligram / liter \n", + "226736 0.00277 milligram / liter \n", + "228074 0.00387 milligram / liter \n", + "235704 0.008150000000000001 milligram / liter \n", "... ... \n", - "1443199 0.02648 milligram / liter \n", - "1443209 0.00183 milligram / liter \n", - "1443220 0.02355 milligram / liter \n", - "1443222 0.03707 milligram / liter \n", - "1443223 0.061950000000000005 milligram / liter \n", + "1465325 0.01816 milligram / liter \n", + "1465326 0.04109 milligram / liter \n", + "1465337 0.02355 milligram / liter \n", + "1465339 0.03707 milligram / liter \n", + "1465340 0.061950000000000005 milligram / liter \n", "\n", "[44448 rows x 4 columns]" ] @@ -4808,24 +5057,23 @@ { "cell_type": "code", "execution_count": 56, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:03:39.424795Z", + "iopub.status.busy": "2024-08-16T21:03:39.424434Z", + "iopub.status.idle": "2024-08-16T21:03:51.819802Z", + "shell.execute_reply": "2024-08-16T21:03:51.819181Z" + } + }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ "-Usable results-\n", - "count 2.156600e+04\n", - "mean 2.463136e+04\n", - "std 1.905400e+06\n", + "count 2.159900e+04\n", + "mean 2.459375e+04\n", + "std 1.903944e+06\n", "min 0.000000e+00\n", "25% 4.600000e+00\n", "50% 7.100000e+00\n", @@ -4834,12 +5082,12 @@ "dtype: float64\n", "Unusable results: 1928\n", "Usable results with inferred units: 0\n", - "Results outside threshold (0.0 to 11457033.813951893): 8\n" + "Results outside threshold (0.0 to 11448260.421998743): 8\n" ] }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -4856,7 +5104,14 @@ { "cell_type": "code", "execution_count": 57, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:03:51.822254Z", + "iopub.status.busy": "2024-08-16T21:03:51.821912Z", + "iopub.status.idle": "2024-08-16T21:03:51.963822Z", + "shell.execute_reply": "2024-08-16T21:03:51.963273Z" + } + }, "outputs": [ { "data": { @@ -4929,43 +5184,43 @@ " ...\n", " \n", " \n", - " 1441942\n", - " 1.8\n", - " mg/L\n", + " 1461042\n", + " 1.43\n", + " mg/l\n", " NaN\n", - " 1.8 milligram / liter\n", + " 1.43 milligram / liter\n", " \n", " \n", - " 1441945\n", - " 5.1\n", - " mg/L\n", + " 1461050\n", + " 0.90\n", + " mg/l\n", " NaN\n", - " 5.1 milligram / liter\n", + " 0.9 milligram / liter\n", " \n", " \n", - " 1441959\n", - " 7.3\n", - " mg/L\n", + " 1461059\n", + " 0.68\n", + " mg/l\n", " NaN\n", - " 7.3 milligram / liter\n", + " 0.68 milligram / liter\n", " \n", " \n", - " 1441995\n", - " 11.7\n", + " 1461221\n", + " 2.56\n", " mg/L\n", " NaN\n", - " 11.7 milligram / liter\n", + " 2.56 milligram / liter\n", " \n", " \n", - " 1442025\n", - " 5.3\n", + " 1462261\n", + " 3.92\n", " mg/L\n", " NaN\n", - " 5.3 milligram / liter\n", + " 3.92 milligram / liter\n", " \n", " \n", "\n", - "

23494 rows × 4 columns

\n", + "

23527 rows × 4 columns

\n", "" ], "text/plain": [ @@ -4976,11 +5231,11 @@ "287 6.7 mg/L NaN \n", "346 5.8 mg/L NaN \n", "... ... ... ... \n", - "1441942 1.8 mg/L NaN \n", - "1441945 5.1 mg/L NaN \n", - "1441959 7.3 mg/L NaN \n", - "1441995 11.7 mg/L NaN \n", - "1442025 5.3 mg/L NaN \n", + "1461042 1.43 mg/l NaN \n", + "1461050 0.90 mg/l NaN \n", + "1461059 0.68 mg/l NaN \n", + "1461221 2.56 mg/L NaN \n", + "1462261 3.92 mg/L NaN \n", "\n", " Carbon \n", "3 3.8 milligram / liter \n", @@ -4989,13 +5244,13 @@ "287 6.7 milligram / liter \n", "346 5.8 milligram / liter \n", "... ... \n", - "1441942 1.8 milligram / liter \n", - "1441945 5.1 milligram / liter \n", - "1441959 7.3 milligram / liter \n", - "1441995 11.7 milligram / liter \n", - "1442025 5.3 milligram / liter \n", + "1461042 1.43 milligram / liter \n", + "1461050 0.9 milligram / liter \n", + "1461059 0.68 milligram / liter \n", + "1461221 2.56 milligram / liter \n", + "1462261 3.92 milligram / liter \n", "\n", - "[23494 rows x 4 columns]" + "[23527 rows x 4 columns]" ] }, "execution_count": 57, @@ -5018,38 +5273,37 @@ { "cell_type": "code", "execution_count": 58, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:03:51.966070Z", + "iopub.status.busy": "2024-08-16T21:03:51.965886Z", + "iopub.status.idle": "2024-08-16T21:04:02.111429Z", + "shell.execute_reply": "2024-08-16T21:04:02.110820Z" + } + }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ "-Usable results-\n", - "count 91094.000000\n", - "mean 16.265923\n", - "std 877.842138\n", - "min -0.047700\n", - "25% 1.500000\n", - "50% 2.400000\n", - "75% 4.000000\n", - "max 200000.000000\n", + "count 92686.00000\n", + "mean 16.13425\n", + "std 870.34539\n", + "min -0.04770\n", + "25% 1.50000\n", + "50% 2.40000\n", + "75% 4.08000\n", + "max 200000.00000\n", "dtype: float64\n", - "Unusable results: 1066\n", + "Unusable results: 1100\n", "Usable results with inferred units: 0\n", - "Results outside threshold (0.0 to 5283.318748835202): 155\n" + "Results outside threshold (0.0 to 5238.206591642857): 155\n" ] }, { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -5066,7 +5320,14 @@ { "cell_type": "code", "execution_count": 59, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:04:02.113854Z", + "iopub.status.busy": "2024-08-16T21:04:02.113347Z", + "iopub.status.idle": "2024-08-16T21:04:02.318988Z", + "shell.execute_reply": "2024-08-16T21:04:02.318383Z" + } + }, "outputs": [ { "data": { @@ -5139,43 +5400,43 @@ " ...\n", " \n", " \n", - " 1441923\n", - " 2.3\n", + " 1462857\n", + " 11.3\n", " NTU\n", " NaN\n", - " 2.3 Nephelometric_Turbidity_Units\n", + " 11.3 Nephelometric_Turbidity_Units\n", " \n", " \n", - " 1441947\n", - " 0.8\n", + " 1462884\n", + " 0.76\n", " NTU\n", " NaN\n", - " 0.8 Nephelometric_Turbidity_Units\n", + " 0.76 Nephelometric_Turbidity_Units\n", " \n", " \n", - " 1441991\n", - " 0.42\n", + " 1462919\n", + " 3.65\n", " NTU\n", " NaN\n", - " 0.42 Nephelometric_Turbidity_Units\n", + " 3.65 Nephelometric_Turbidity_Units\n", " \n", " \n", - " 1442011\n", - " 1.8\n", + " 1462930\n", + " 3.1\n", " NTU\n", " NaN\n", - " 1.8 Nephelometric_Turbidity_Units\n", + " 3.1 Nephelometric_Turbidity_Units\n", " \n", " \n", - " 1442035\n", - " 1.6\n", + " 1462950\n", + " 2.6\n", " NTU\n", " NaN\n", - " 1.6 Nephelometric_Turbidity_Units\n", + " 2.6 Nephelometric_Turbidity_Units\n", " \n", " \n", "\n", - "

92160 rows × 4 columns

\n", + "

93786 rows × 4 columns

\n", "" ], "text/plain": [ @@ -5186,11 +5447,11 @@ "296 3.0 NTU NaN \n", "313 2.0 NTU NaN \n", "... ... ... ... \n", - "1441923 2.3 NTU NaN \n", - "1441947 0.8 NTU NaN \n", - "1441991 0.42 NTU NaN \n", - "1442011 1.8 NTU NaN \n", - "1442035 1.6 NTU NaN \n", + "1462857 11.3 NTU NaN \n", + "1462884 0.76 NTU NaN \n", + "1462919 3.65 NTU NaN \n", + "1462930 3.1 NTU NaN \n", + "1462950 2.6 NTU NaN \n", "\n", " Turbidity \n", "120 2.3 Nephelometric_Turbidity_Units \n", @@ -5199,13 +5460,13 @@ "296 3.0 Nephelometric_Turbidity_Units \n", "313 2.0 Nephelometric_Turbidity_Units \n", "... ... \n", - "1441923 2.3 Nephelometric_Turbidity_Units \n", - "1441947 0.8 Nephelometric_Turbidity_Units \n", - "1441991 0.42 Nephelometric_Turbidity_Units \n", - "1442011 1.8 Nephelometric_Turbidity_Units \n", - "1442035 1.6 Nephelometric_Turbidity_Units \n", + "1462857 11.3 Nephelometric_Turbidity_Units \n", + "1462884 0.76 Nephelometric_Turbidity_Units \n", + "1462919 3.65 Nephelometric_Turbidity_Units \n", + "1462930 3.1 Nephelometric_Turbidity_Units \n", + "1462950 2.6 Nephelometric_Turbidity_Units \n", "\n", - "[92160 rows x 4 columns]" + "[93786 rows x 4 columns]" ] }, "execution_count": 59, @@ -5228,7 +5489,14 @@ { "cell_type": "code", "execution_count": 60, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:04:02.321620Z", + "iopub.status.busy": "2024-08-16T21:04:02.321281Z", + "iopub.status.idle": "2024-08-16T21:04:06.634743Z", + "shell.execute_reply": "2024-08-16T21:04:06.634160Z" + } + }, "outputs": [], "source": [ "# Sediment\n", @@ -5238,7 +5506,14 @@ { "cell_type": "code", "execution_count": 61, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:04:06.637268Z", + "iopub.status.busy": "2024-08-16T21:04:06.636876Z", + "iopub.status.idle": "2024-08-16T21:04:08.138882Z", + "shell.execute_reply": "2024-08-16T21:04:08.138353Z" + } + }, "outputs": [ { "data": { @@ -5305,21 +5580,26 @@ { "cell_type": "code", "execution_count": 62, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:04:08.141284Z", + "iopub.status.busy": "2024-08-16T21:04:08.140891Z", + "iopub.status.idle": "2024-08-16T21:04:22.629288Z", + "shell.execute_reply": "2024-08-16T21:04:22.628713Z" + } + }, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" + "2 Phosphorus sample fractions not in frac_dict\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2 Phosphorus sample fractions not in frac_dict\n", "2 Phosphorus sample fractions not in frac_dict found in expected domains, mapped to \"Other_Phosphorus\"\n" ] } @@ -5339,7 +5619,14 @@ { "cell_type": "code", "execution_count": 63, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:04:22.631886Z", + "iopub.status.busy": "2024-08-16T21:04:22.631499Z", + "iopub.status.idle": "2024-08-16T21:04:24.244575Z", + "shell.execute_reply": "2024-08-16T21:04:24.243991Z" + } + }, "outputs": [ { "data": { @@ -5370,14 +5657,14 @@ " \n", " \n", " \n", - " 3377\n", + " 3379\n", " 0.049\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 7734\n", + " 7735\n", " 0.004\n", " mg/L\n", " NaN\n", @@ -5398,7 +5685,7 @@ " NaN\n", " \n", " \n", - " 19520\n", + " 19519\n", " 0.050\n", " mg/L\n", " NaN\n", @@ -5412,73 +5699,73 @@ " ...\n", " \n", " \n", - " 1441961\n", - " 0.14\n", - " mg/L\n", + " 1464113\n", + " 0.065\n", + " mg/l as P\n", " NaN\n", " NaN\n", " \n", " \n", - " 1441962\n", - " 0.052\n", - " mg/L\n", + " 1464118\n", + " 0.027\n", + " mg/l as P\n", " NaN\n", " NaN\n", " \n", " \n", - " 1442000\n", - " 0.14\n", - " mg/L\n", + " 1464124\n", + " 0.04\n", + " mg/l as P\n", " NaN\n", " NaN\n", " \n", " \n", - " 1442019\n", - " 0.147\n", - " mg/L\n", + " 1464139\n", + " 0.05\n", + " mg/l as P\n", " NaN\n", " NaN\n", " \n", " \n", - " 1442029\n", - " 0.14\n", - " mg/L\n", + " 1464156\n", + " 0.04\n", + " mg/l as P\n", " NaN\n", " NaN\n", " \n", " \n", "\n", - "

28141 rows × 4 columns

\n", + "

30713 rows × 4 columns

\n", "" ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag \\\n", - "3377 0.049 mg/L NaN \n", - "7734 0.004 mg/L NaN \n", + "3379 0.049 mg/L NaN \n", + "7735 0.004 mg/L NaN \n", "9147 0.049 mg/L NaN \n", "10947 0.036 mg/L NaN \n", - "19520 0.050 mg/L NaN \n", + "19519 0.050 mg/L NaN \n", "... ... ... ... \n", - "1441961 0.14 mg/L NaN \n", - "1441962 0.052 mg/L NaN \n", - "1442000 0.14 mg/L NaN \n", - "1442019 0.147 mg/L NaN \n", - "1442029 0.14 mg/L NaN \n", + "1464113 0.065 mg/l as P NaN \n", + "1464118 0.027 mg/l as P NaN \n", + "1464124 0.04 mg/l as P NaN \n", + "1464139 0.05 mg/l as P NaN \n", + "1464156 0.04 mg/l as P NaN \n", "\n", " TDP_Phosphorus \n", - "3377 NaN \n", - "7734 NaN \n", + "3379 NaN \n", + "7735 NaN \n", "9147 NaN \n", "10947 NaN \n", - "19520 0.05 milligram / liter \n", + "19519 0.05 milligram / liter \n", "... ... \n", - "1441961 NaN \n", - "1441962 NaN \n", - "1442000 NaN \n", - "1442019 NaN \n", - "1442029 NaN \n", + "1464113 NaN \n", + "1464118 NaN \n", + "1464124 NaN \n", + "1464139 NaN \n", + "1464156 NaN \n", "\n", - "[28141 rows x 4 columns]" + "[30713 rows x 4 columns]" ] }, "execution_count": 63, @@ -5495,7 +5782,14 @@ { "cell_type": "code", "execution_count": 64, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:04:24.246843Z", + "iopub.status.busy": "2024-08-16T21:04:24.246649Z", + "iopub.status.idle": "2024-08-16T21:04:24.326476Z", + "shell.execute_reply": "2024-08-16T21:04:24.325959Z" + } + }, "outputs": [ { "data": { @@ -5526,14 +5820,14 @@ " \n", " \n", " \n", - " 3377\n", + " 3379\n", " 0.049\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 7734\n", + " 7735\n", " 0.004\n", " mg/L\n", " NaN\n", @@ -5554,7 +5848,7 @@ " NaN\n", " \n", " \n", - " 23388\n", + " 23387\n", " 0.004\n", " mg/L\n", " NaN\n", @@ -5568,73 +5862,73 @@ " ...\n", " \n", " \n", - " 1441961\n", - " 0.14\n", - " mg/L\n", + " 1464113\n", + " 0.065\n", + " mg/l as P\n", " NaN\n", " NaN\n", " \n", " \n", - " 1441962\n", - " 0.052\n", - " mg/L\n", + " 1464118\n", + " 0.027\n", + " mg/l as P\n", " NaN\n", " NaN\n", " \n", " \n", - " 1442000\n", - " 0.14\n", - " mg/L\n", + " 1464124\n", + " 0.04\n", + " mg/l as P\n", " NaN\n", " NaN\n", " \n", " \n", - " 1442019\n", - " 0.147\n", - " mg/L\n", + " 1464139\n", + " 0.05\n", + " mg/l as P\n", " NaN\n", " NaN\n", " \n", " \n", - " 1442029\n", - " 0.14\n", - " mg/L\n", + " 1464156\n", + " 0.04\n", + " mg/l as P\n", " NaN\n", " NaN\n", " \n", " \n", "\n", - "

26178 rows × 4 columns

\n", + "

28750 rows × 4 columns

\n", "" ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag \\\n", - "3377 0.049 mg/L NaN \n", - "7734 0.004 mg/L NaN \n", + "3379 0.049 mg/L NaN \n", + "7735 0.004 mg/L NaN \n", "9147 0.049 mg/L NaN \n", "10947 0.036 mg/L NaN \n", - "23388 0.004 mg/L NaN \n", + "23387 0.004 mg/L NaN \n", "... ... ... ... \n", - "1441961 0.14 mg/L NaN \n", - "1441962 0.052 mg/L NaN \n", - "1442000 0.14 mg/L NaN \n", - "1442019 0.147 mg/L NaN \n", - "1442029 0.14 mg/L NaN \n", + "1464113 0.065 mg/l as P NaN \n", + "1464118 0.027 mg/l as P NaN \n", + "1464124 0.04 mg/l as P NaN \n", + "1464139 0.05 mg/l as P NaN \n", + "1464156 0.04 mg/l as P NaN \n", "\n", " TDP_Phosphorus \n", - "3377 NaN \n", - "7734 NaN \n", + "3379 NaN \n", + "7735 NaN \n", "9147 NaN \n", "10947 NaN \n", - "23388 NaN \n", + "23387 NaN \n", "... ... \n", - "1441961 NaN \n", - "1441962 NaN \n", - "1442000 NaN \n", - "1442019 NaN \n", - "1442029 NaN \n", + "1464113 NaN \n", + "1464118 NaN \n", + "1464124 NaN \n", + "1464139 NaN \n", + "1464156 NaN \n", "\n", - "[26178 rows x 4 columns]" + "[28750 rows x 4 columns]" ] }, "execution_count": 64, @@ -5650,7 +5944,14 @@ { "cell_type": "code", "execution_count": 65, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:04:24.328715Z", + "iopub.status.busy": "2024-08-16T21:04:24.328539Z", + "iopub.status.idle": "2024-08-16T21:04:24.369029Z", + "shell.execute_reply": "2024-08-16T21:04:24.368543Z" + } + }, "outputs": [ { "data": { @@ -5681,14 +5982,14 @@ " \n", " \n", " \n", - " 19520\n", + " 19519\n", " 0.050\n", " mg/L\n", " NaN\n", " 0.05 milligram / liter\n", " \n", " \n", - " 29586\n", + " 29585\n", " 0.009\n", " mg/L\n", " NaN\n", @@ -5702,14 +6003,14 @@ " 0.003 milligram / liter\n", " \n", " \n", - " 119142\n", + " 119141\n", " 0.050\n", " mg/L\n", " NaN\n", " 0.05 milligram / liter\n", " \n", " \n", - " 124294\n", + " 124292\n", " 0.002\n", " mg/L\n", " NaN\n", @@ -5723,35 +6024,35 @@ " ...\n", " \n", " \n", - " 1423120\n", - " 0.2\n", + " 1451036\n", + " 1.0\n", " mg/l as P\n", " NaN\n", - " 0.2 milligram / liter\n", + " 1.0 milligram / liter\n", " \n", " \n", - " 1423125\n", - " 0.22\n", + " 1451054\n", + " 0.93\n", " mg/l as P\n", " NaN\n", - " 0.22 milligram / liter\n", + " 0.93 milligram / liter\n", " \n", " \n", - " 1423148\n", - " 0.18\n", + " 1451072\n", + " 0.58\n", " mg/l as P\n", " NaN\n", - " 0.18 milligram / liter\n", + " 0.58 milligram / liter\n", " \n", " \n", - " 1423153\n", - " 0.33\n", + " 1451096\n", + " 0.48\n", " mg/l as P\n", " NaN\n", - " 0.33 milligram / liter\n", + " 0.48 milligram / liter\n", " \n", " \n", - " 1427176\n", + " 1455565\n", " 0.166\n", " mg/l as P\n", " NaN\n", @@ -5764,30 +6065,30 @@ ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag \\\n", - "19520 0.050 mg/L NaN \n", - "29586 0.009 mg/L NaN \n", + "19519 0.050 mg/L NaN \n", + "29585 0.009 mg/L NaN \n", "56022 0.003 mg/L NaN \n", - "119142 0.050 mg/L NaN \n", - "124294 0.002 mg/L NaN \n", + "119141 0.050 mg/L NaN \n", + "124292 0.002 mg/L NaN \n", "... ... ... ... \n", - "1423120 0.2 mg/l as P NaN \n", - "1423125 0.22 mg/l as P NaN \n", - "1423148 0.18 mg/l as P NaN \n", - "1423153 0.33 mg/l as P NaN \n", - "1427176 0.166 mg/l as P NaN \n", + "1451036 1.0 mg/l as P NaN \n", + "1451054 0.93 mg/l as P NaN \n", + "1451072 0.58 mg/l as P NaN \n", + "1451096 0.48 mg/l as P NaN \n", + "1455565 0.166 mg/l as P NaN \n", "\n", " TDP_Phosphorus \n", - "19520 0.05 milligram / liter \n", - "29586 0.009 milligram / liter \n", + "19519 0.05 milligram / liter \n", + "29585 0.009 milligram / liter \n", "56022 0.003 milligram / liter \n", - "119142 0.05 milligram / liter \n", - "124294 0.002 milligram / liter \n", + "119141 0.05 milligram / liter \n", + "124292 0.002 milligram / liter \n", "... ... \n", - "1423120 0.2 milligram / liter \n", - "1423125 0.22 milligram / liter \n", - "1423148 0.18 milligram / liter \n", - "1423153 0.33 milligram / liter \n", - "1427176 0.166 milligram / liter \n", + "1451036 1.0 milligram / liter \n", + "1451054 0.93 milligram / liter \n", + "1451072 0.58 milligram / liter \n", + "1451096 0.48 milligram / liter \n", + "1455565 0.166 milligram / liter \n", "\n", "[1099 rows x 4 columns]" ] @@ -5805,7 +6106,14 @@ { "cell_type": "code", "execution_count": 66, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:04:24.371242Z", + "iopub.status.busy": "2024-08-16T21:04:24.370889Z", + "iopub.status.idle": "2024-08-16T21:04:24.409696Z", + "shell.execute_reply": "2024-08-16T21:04:24.409130Z" + } + }, "outputs": [ { "data": { @@ -5836,35 +6144,35 @@ " \n", " \n", " \n", - " 221972\n", + " 221968\n", " 0.13118375\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 238404\n", + " 238400\n", " 0.1696225\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 239080\n", + " 239076\n", " 0.0835825\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 245332\n", + " 245328\n", " 0.16950375\n", " mg/L\n", " NaN\n", " NaN\n", " \n", " \n", - " 255046\n", + " 255041\n", " 0.03524375\n", " mg/L\n", " NaN\n", @@ -5878,35 +6186,35 @@ " ...\n", " \n", " \n", - " 1417733\n", + " 1438772\n", " 0.058\n", " %\n", " NaN\n", " NaN\n", " \n", " \n", - " 1418590\n", + " 1439629\n", " 0.041\n", " %\n", " NaN\n", " NaN\n", " \n", " \n", - " 1419369\n", + " 1440409\n", " 0.078\n", " %\n", " NaN\n", " NaN\n", " \n", " \n", - " 1434075\n", + " 1460806\n", " 460\n", " mg/kg\n", " NaN\n", " NaN\n", " \n", " \n", - " 1434077\n", + " 1460808\n", " 5400\n", " mg/kg\n", " NaN\n", @@ -5919,30 +6227,30 @@ ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag \\\n", - "221972 0.13118375 mg/L NaN \n", - "238404 0.1696225 mg/L NaN \n", - "239080 0.0835825 mg/L NaN \n", - "245332 0.16950375 mg/L NaN \n", - "255046 0.03524375 mg/L NaN \n", + "221968 0.13118375 mg/L NaN \n", + "238400 0.1696225 mg/L NaN \n", + "239076 0.0835825 mg/L NaN \n", + "245328 0.16950375 mg/L NaN \n", + "255041 0.03524375 mg/L NaN \n", "... ... ... ... \n", - "1417733 0.058 % NaN \n", - "1418590 0.041 % NaN \n", - "1419369 0.078 % NaN \n", - "1434075 460 mg/kg NaN \n", - "1434077 5400 mg/kg NaN \n", + "1438772 0.058 % NaN \n", + "1439629 0.041 % NaN \n", + "1440409 0.078 % NaN \n", + "1460806 460 mg/kg NaN \n", + "1460808 5400 mg/kg NaN \n", "\n", " TDP_Phosphorus \n", - "221972 NaN \n", - "238404 NaN \n", - "239080 NaN \n", - "245332 NaN \n", - "255046 NaN \n", + "221968 NaN \n", + "238400 NaN \n", + "239076 NaN \n", + "245328 NaN \n", + "255041 NaN \n", "... ... \n", - "1417733 NaN \n", - "1418590 NaN \n", - "1419369 NaN \n", - "1434075 NaN \n", - "1434077 NaN \n", + "1438772 NaN \n", + "1439629 NaN \n", + "1440409 NaN \n", + "1460806 NaN \n", + "1460808 NaN \n", "\n", "[864 rows x 4 columns]" ] @@ -5981,19 +6289,36 @@ { "cell_type": "code", "execution_count": 67, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:04:24.412172Z", + "iopub.status.busy": "2024-08-16T21:04:24.411811Z", + "iopub.status.idle": "2024-08-16T21:04:39.336795Z", + "shell.execute_reply": "2024-08-16T21:04:39.336176Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n", - " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n", - " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n", + " warn(f\"WARNING: '{unit}' converted to NaN\")\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n", + " warn(f\"WARNING: '{unit}' converted to NaN\")\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n", " warn(f\"WARNING: '{unit}' converted to NaN\")\n" ] }, @@ -6018,7 +6343,7 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -6035,7 +6360,14 @@ { "cell_type": "code", "execution_count": 68, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:04:39.339088Z", + "iopub.status.busy": "2024-08-16T21:04:39.338731Z", + "iopub.status.idle": "2024-08-16T21:04:39.520021Z", + "shell.execute_reply": "2024-08-16T21:04:39.519460Z" + } + }, "outputs": [ { "data": { @@ -6108,36 +6440,36 @@ " ...\n", " \n", " \n", - " 1441811\n", - " 7.0\n", - " cfu/100mL\n", - " NaN\n", + " 1457975\n", + " 100.0\n", + " cfu/100ml\n", " NaN\n", + " 100.0 Colony_Forming_Units / milliliter\n", " \n", " \n", - " 1441859\n", - " 1.0\n", - " cfu/100mL\n", - " NaN\n", + " 1458014\n", + " 1100.0\n", + " cfu/100ml\n", " NaN\n", + " 1100.0 Colony_Forming_Units / milliliter\n", " \n", " \n", - " 1441992\n", - " 110.0\n", - " cfu/100mL\n", - " NaN\n", + " 1458102\n", + " 300.0\n", + " cfu/100ml\n", " NaN\n", + " 300.0 Colony_Forming_Units / milliliter\n", " \n", " \n", - " 1441997\n", - " 1.0\n", - " cfu/100mL\n", - " NaN\n", + " 1458156\n", + " 160.0\n", + " cfu/100ml\n", " NaN\n", + " 160.0 Colony_Forming_Units / milliliter\n", " \n", " \n", - " 1443237\n", - " 2.0\n", + " 1465355\n", + " 2\n", " cfu/100ml\n", " NaN\n", " 2.0 Colony_Forming_Units / milliliter\n", @@ -6155,24 +6487,24 @@ "62 5 cfu/100mL NaN \n", "65 260 #/100mL NaN \n", "... ... ... ... \n", - "1441811 7.0 cfu/100mL NaN \n", - "1441859 1.0 cfu/100mL NaN \n", - "1441992 110.0 cfu/100mL NaN \n", - "1441997 1.0 cfu/100mL NaN \n", - "1443237 2.0 cfu/100ml NaN \n", - "\n", - " Fecal_Coliform \n", - "10 NaN \n", - "31 NaN \n", - "41 NaN \n", - "62 NaN \n", - "65 NaN \n", - "... ... \n", - "1441811 NaN \n", - "1441859 NaN \n", - "1441992 NaN \n", - "1441997 NaN \n", - "1443237 2.0 Colony_Forming_Units / milliliter \n", + "1457975 100.0 cfu/100ml NaN \n", + "1458014 1100.0 cfu/100ml NaN \n", + "1458102 300.0 cfu/100ml NaN \n", + "1458156 160.0 cfu/100ml NaN \n", + "1465355 2 cfu/100ml NaN \n", + "\n", + " Fecal_Coliform \n", + "10 NaN \n", + "31 NaN \n", + "41 NaN \n", + "62 NaN \n", + "65 NaN \n", + "... ... \n", + "1457975 100.0 Colony_Forming_Units / milliliter \n", + "1458014 1100.0 Colony_Forming_Units / milliliter \n", + "1458102 300.0 Colony_Forming_Units / milliliter \n", + "1458156 160.0 Colony_Forming_Units / milliliter \n", + "1465355 2.0 Colony_Forming_Units / milliliter \n", "\n", "[64198 rows x 4 columns]" ] @@ -6197,19 +6529,24 @@ { "cell_type": "code", "execution_count": 69, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:04:39.522249Z", + "iopub.status.busy": "2024-08-16T21:04:39.522051Z", + "iopub.status.idle": "2024-08-16T21:04:49.162320Z", + "shell.execute_reply": "2024-08-16T21:04:49.161621Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n", " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n", " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n", " warn(f\"WARNING: '{unit}' converted to NaN\")\n" ] }, @@ -6227,14 +6564,14 @@ "75% 120.000000\n", "max 41000.000000\n", "dtype: float64\n", - "Unusable results: 5261\n", + "Unusable results: 6109\n", "Usable results with inferred units: 0\n", "Results outside threshold (0.0 to 27817.348725062726): 1\n" ] }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -6251,7 +6588,14 @@ { "cell_type": "code", "execution_count": 70, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:04:49.165221Z", + "iopub.status.busy": "2024-08-16T21:04:49.165000Z", + "iopub.status.idle": "2024-08-16T21:04:49.254582Z", + "shell.execute_reply": "2024-08-16T21:04:49.253908Z" + } + }, "outputs": [ { "data": { @@ -6282,35 +6626,35 @@ " \n", " \n", " \n", - " 276038\n", + " 276034\n", " 210\n", " MPN/100mL\n", " NaN\n", " NaN\n", " \n", " \n", - " 277435\n", + " 277432\n", " 4800\n", " MPN/100mL\n", " NaN\n", " NaN\n", " \n", " \n", - " 277860\n", + " 277854\n", " 74.5\n", " MPN/100mL\n", " NaN\n", " NaN\n", " \n", " \n", - " 277997\n", + " 277993\n", " 553.9\n", " MPN/100mL\n", " NaN\n", " NaN\n", " \n", " \n", - " 278270\n", + " 278267\n", " 87\n", " MPN/100mL\n", " NaN\n", @@ -6324,60 +6668,73 @@ " ...\n", " \n", " \n", - " 1441819\n", - " 110.0\n", - " cfu/100mL\n", + " 1462780\n", + " 219\n", + " MPN/100mL\n", " NaN\n", " NaN\n", " \n", " \n", - " 1441852\n", - " 600.0\n", - " cfu/100mL\n", - " NaN\n", + " 1462825\n", + " Not Reported\n", + " MPN/100mL\n", + " ResultMeasureValue: \"Not Reported\" result cann...\n", " NaN\n", " \n", " \n", - " 1441985\n", - " 580.0\n", - " cfu/100mL\n", - " NaN\n", + " 1462838\n", + " Not Reported\n", + " MPN/100mL\n", + " ResultMeasureValue: \"Not Reported\" result cann...\n", " NaN\n", " \n", " \n", - " 1442020\n", - " 10.0\n", - " cfu/100mL\n", + " 1462851\n", + " 59.1\n", + " MPN/100mL\n", " NaN\n", " NaN\n", " \n", " \n", - " 1442022\n", - " 455.0\n", - " cfu/100mL\n", + " 1462917\n", + " 742\n", + " MPN/100mL\n", " NaN\n", " NaN\n", " \n", " \n", "\n", - "

5403 rows × 4 columns

\n", + "

6251 rows × 4 columns

\n", "" ], "text/plain": [ - " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag E_coli\n", - "276038 210 MPN/100mL NaN NaN\n", - "277435 4800 MPN/100mL NaN NaN\n", - "277860 74.5 MPN/100mL NaN NaN\n", - "277997 553.9 MPN/100mL NaN NaN\n", - "278270 87 MPN/100mL NaN NaN\n", - "... ... ... ... ...\n", - "1441819 110.0 cfu/100mL NaN NaN\n", - "1441852 600.0 cfu/100mL NaN NaN\n", - "1441985 580.0 cfu/100mL NaN NaN\n", - "1442020 10.0 cfu/100mL NaN NaN\n", - "1442022 455.0 cfu/100mL NaN NaN\n", - "\n", - "[5403 rows x 4 columns]" + " ResultMeasureValue ResultMeasure/MeasureUnitCode \\\n", + "276034 210 MPN/100mL \n", + "277432 4800 MPN/100mL \n", + "277854 74.5 MPN/100mL \n", + "277993 553.9 MPN/100mL \n", + "278267 87 MPN/100mL \n", + "... ... ... \n", + "1462780 219 MPN/100mL \n", + "1462825 Not Reported MPN/100mL \n", + "1462838 Not Reported MPN/100mL \n", + "1462851 59.1 MPN/100mL \n", + "1462917 742 MPN/100mL \n", + "\n", + " QA_flag E_coli \n", + "276034 NaN NaN \n", + "277432 NaN NaN \n", + "277854 NaN NaN \n", + "277993 NaN NaN \n", + "278267 NaN NaN \n", + "... ... ... \n", + "1462780 NaN NaN \n", + "1462825 ResultMeasureValue: \"Not Reported\" result cann... NaN \n", + "1462838 ResultMeasureValue: \"Not Reported\" result cann... NaN \n", + "1462851 NaN NaN \n", + "1462917 NaN NaN \n", + "\n", + "[6251 rows x 4 columns]" ] }, "execution_count": 70, @@ -6421,7 +6778,14 @@ { "cell_type": "code", "execution_count": 71, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:04:49.257127Z", + "iopub.status.busy": "2024-08-16T21:04:49.256761Z", + "iopub.status.idle": "2024-08-16T21:04:49.259646Z", + "shell.execute_reply": "2024-08-16T21:04:49.259082Z" + } + }, "outputs": [], "source": [ "from harmonize_wq import convert" @@ -6430,15 +6794,22 @@ { "cell_type": "code", "execution_count": 72, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:04:49.262049Z", + "iopub.status.busy": "2024-08-16T21:04:49.261684Z", + "iopub.status.idle": "2024-08-16T21:04:49.379035Z", + "shell.execute_reply": "2024-08-16T21:04:49.378474Z" + } + }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Range: -0.02 to 48930.0\n", - "Results: 263723 \n", - "Mean: 21.80843199645088 PSU\n" + "Results: 267183 \n", + "Mean: 21.709491748588047 PSU\n" ] } ], @@ -6453,7 +6824,14 @@ { "cell_type": "code", "execution_count": 73, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:04:49.381295Z", + "iopub.status.busy": "2024-08-16T21:04:49.380973Z", + "iopub.status.idle": "2024-08-16T21:04:49.393678Z", + "shell.execute_reply": "2024-08-16T21:04:49.393125Z" + } + }, "outputs": [ { "data": { @@ -6481,7 +6859,14 @@ { "cell_type": "code", "execution_count": 74, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:04:49.395871Z", + "iopub.status.busy": "2024-08-16T21:04:49.395548Z", + "iopub.status.idle": "2024-08-16T21:04:49.398260Z", + "shell.execute_reply": "2024-08-16T21:04:49.397681Z" + } + }, "outputs": [], "source": [ "# Columns to focus on\n", @@ -6491,7 +6876,14 @@ { "cell_type": "code", "execution_count": 75, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:04:49.400346Z", + "iopub.status.busy": "2024-08-16T21:04:49.400023Z", + "iopub.status.idle": "2024-08-16T21:05:15.292799Z", + "shell.execute_reply": "2024-08-16T21:05:15.292271Z" + } + }, "outputs": [ { "data": { @@ -6522,35 +6914,35 @@ " \n", " \n", " \n", - " 288169\n", + " 288161\n", " 48930\n", " ppth\n", " NaN\n", " 48930.0 Practical_Salinity_Units\n", " \n", " \n", - " 434312\n", + " 389823\n", " 76.57\n", " ppth\n", " NaN\n", " 76.57 Practical_Salinity_Units\n", " \n", " \n", - " 497016\n", + " 497045\n", " 54.8\n", " ppth\n", " NaN\n", " 54.8 Practical_Salinity_Units\n", " \n", " \n", - " 620793\n", + " 620827\n", " 2976\n", " ppth\n", " NaN\n", " 2976.0 Practical_Salinity_Units\n", " \n", " \n", - " 645780\n", + " 645813\n", " 68\n", " ppth\n", " NaN\n", @@ -6562,18 +6954,18 @@ ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag \\\n", - "288169 48930 ppth NaN \n", - "434312 76.57 ppth NaN \n", - "497016 54.8 ppth NaN \n", - "620793 2976 ppth NaN \n", - "645780 68 ppth NaN \n", + "288161 48930 ppth NaN \n", + "389823 76.57 ppth NaN \n", + "497045 54.8 ppth NaN \n", + "620827 2976 ppth NaN \n", + "645813 68 ppth NaN \n", "\n", " Salinity \n", - "288169 48930.0 Practical_Salinity_Units \n", - "434312 76.57 Practical_Salinity_Units \n", - "497016 54.8 Practical_Salinity_Units \n", - "620793 2976.0 Practical_Salinity_Units \n", - "645780 68.0 Practical_Salinity_Units " + "288161 48930.0 Practical_Salinity_Units \n", + "389823 76.57 Practical_Salinity_Units \n", + "497045 54.8 Practical_Salinity_Units \n", + "620827 2976.0 Practical_Salinity_Units \n", + "645813 68.0 Practical_Salinity_Units " ] }, "execution_count": 75, @@ -6598,7 +6990,14 @@ { "cell_type": "code", "execution_count": 76, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:05:15.295386Z", + "iopub.status.busy": "2024-08-16T21:05:15.295074Z", + "iopub.status.idle": "2024-08-16T21:06:23.267587Z", + "shell.execute_reply": "2024-08-16T21:06:23.267007Z" + } + }, "outputs": [], "source": [ "df = wrangle.add_detection(df, 'Salinity')\n", @@ -6611,7 +7010,14 @@ { "cell_type": "code", "execution_count": 77, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:06:23.270206Z", + "iopub.status.busy": "2024-08-16T21:06:23.269844Z", + "iopub.status.idle": "2024-08-16T21:06:38.428126Z", + "shell.execute_reply": "2024-08-16T21:06:38.427512Z" + } + }, "outputs": [ { "data": { @@ -6646,47 +7052,47 @@ " \n", " \n", " \n", - " 25322\n", + " 25321\n", " 0.0\n", " ppth\n", " NaN\n", " 0.0 Practical_Salinity_Units\n", " NaN\n", - " Lower Quantitation Limit\n", - " 5.0\n", + " Method Detection Level\n", + " 1.0\n", " ppth\n", " \n", " \n", - " 25323\n", + " 25322\n", " 0.0\n", " ppth\n", " NaN\n", " 0.0 Practical_Salinity_Units\n", " NaN\n", - " Method Detection Level\n", - " 1.0\n", + " Lower Quantitation Limit\n", + " 5.0\n", " ppth\n", " \n", " \n", - " 46499\n", + " 46498\n", " 0.0\n", " ppth\n", " NaN\n", " 0.0 Practical_Salinity_Units\n", " NaN\n", - " Lower Quantitation Limit\n", - " 5.0\n", + " Method Detection Level\n", + " 1.0\n", " ppth\n", " \n", " \n", - " 46500\n", + " 46499\n", " 0.0\n", " ppth\n", " NaN\n", " 0.0 Practical_Salinity_Units\n", " NaN\n", - " Method Detection Level\n", - " 1.0\n", + " Lower Quantitation Limit\n", + " 5.0\n", " ppth\n", " \n", " \n", @@ -6701,7 +7107,7 @@ " NaN\n", " \n", " \n", - " 551938\n", + " 551972\n", " 0.0\n", " ppth\n", " NaN\n", @@ -6712,7 +7118,7 @@ " NaN\n", " \n", " \n", - " 561266\n", + " 561300\n", " 0.0\n", " ppth\n", " NaN\n", @@ -6723,7 +7129,7 @@ " NaN\n", " \n", " \n", - " 695233\n", + " 695266\n", " -0.02\n", " ppth\n", " NaN\n", @@ -6734,7 +7140,7 @@ " NaN\n", " \n", " \n", - " 965203\n", + " 968155\n", " 0\n", " ppth\n", " NaN\n", @@ -6745,7 +7151,7 @@ " NaN\n", " \n", " \n", - " 968016\n", + " 970962\n", " 0\n", " ppth\n", " NaN\n", @@ -6756,7 +7162,7 @@ " NaN\n", " \n", " \n", - " 969685\n", + " 972633\n", " 0.00\n", " ppth\n", " NaN\n", @@ -6767,7 +7173,7 @@ " NaN\n", " \n", " \n", - " 970946\n", + " 973891\n", " 0.00\n", " ppth\n", " NaN\n", @@ -6778,7 +7184,7 @@ " NaN\n", " \n", " \n", - " 971984\n", + " 974926\n", " 0\n", " ppth\n", " NaN\n", @@ -6789,7 +7195,7 @@ " NaN\n", " \n", " \n", - " 972832\n", + " 975776\n", " 0.00\n", " ppth\n", " NaN\n", @@ -6800,7 +7206,7 @@ " NaN\n", " \n", " \n", - " 973447\n", + " 976391\n", " 0.00\n", " ppth\n", " NaN\n", @@ -6811,7 +7217,7 @@ " NaN\n", " \n", " \n", - " 975164\n", + " 978112\n", " 0\n", " ppth\n", " NaN\n", @@ -6822,7 +7228,7 @@ " NaN\n", " \n", " \n", - " 976415\n", + " 979364\n", " 0\n", " ppth\n", " NaN\n", @@ -6833,7 +7239,7 @@ " NaN\n", " \n", " \n", - " 978394\n", + " 981344\n", " 0.00\n", " ppth\n", " NaN\n", @@ -6844,7 +7250,7 @@ " NaN\n", " \n", " \n", - " 990692\n", + " 993644\n", " -0.01\n", " ppth\n", " NaN\n", @@ -6855,7 +7261,7 @@ " NaN\n", " \n", " \n", - " 1135069\n", + " 1180376\n", " 0\n", " ppth\n", " NaN\n", @@ -6866,7 +7272,7 @@ " NaN\n", " \n", " \n", - " 1135074\n", + " 1180381\n", " 0\n", " ppth\n", " NaN\n", @@ -6877,7 +7283,7 @@ " NaN\n", " \n", " \n", - " 1135160\n", + " 1180467\n", " 0\n", " ppth\n", " NaN\n", @@ -6888,7 +7294,7 @@ " NaN\n", " \n", " \n", - " 1135161\n", + " 1180468\n", " 0\n", " ppth\n", " NaN\n", @@ -6899,7 +7305,7 @@ " NaN\n", " \n", " \n", - " 1135162\n", + " 1180469\n", " 0\n", " ppth\n", " NaN\n", @@ -6910,7 +7316,7 @@ " NaN\n", " \n", " \n", - " 1135163\n", + " 1180470\n", " 0\n", " ppth\n", " NaN\n", @@ -6921,7 +7327,7 @@ " NaN\n", " \n", " \n", - " 1137729\n", + " 1183036\n", " 0\n", " ppth\n", " NaN\n", @@ -6932,7 +7338,7 @@ " NaN\n", " \n", " \n", - " 1137868\n", + " 1183175\n", " 0\n", " ppth\n", " NaN\n", @@ -6943,7 +7349,7 @@ " NaN\n", " \n", " \n", - " 1137869\n", + " 1183176\n", " 0\n", " ppth\n", " NaN\n", @@ -6954,7 +7360,7 @@ " NaN\n", " \n", " \n", - " 1137870\n", + " 1183177\n", " 0\n", " ppth\n", " NaN\n", @@ -6965,7 +7371,7 @@ " NaN\n", " \n", " \n", - " 1137871\n", + " 1183178\n", " 0\n", " ppth\n", " NaN\n", @@ -6976,7 +7382,7 @@ " NaN\n", " \n", " \n", - " 1137872\n", + " 1183179\n", " 0\n", " ppth\n", " NaN\n", @@ -6987,7 +7393,7 @@ " NaN\n", " \n", " \n", - " 1137873\n", + " 1183180\n", " 0\n", " ppth\n", " NaN\n", @@ -6998,7 +7404,7 @@ " NaN\n", " \n", " \n", - " 1137968\n", + " 1183275\n", " 0\n", " ppth\n", " NaN\n", @@ -7009,7 +7415,7 @@ " NaN\n", " \n", " \n", - " 1143331\n", + " 1188638\n", " 0.0\n", " ppth\n", " NaN\n", @@ -7020,7 +7426,7 @@ " NaN\n", " \n", " \n", - " 1143332\n", + " 1188639\n", " 0.0\n", " ppth\n", " NaN\n", @@ -7031,7 +7437,7 @@ " NaN\n", " \n", " \n", - " 1143376\n", + " 1188683\n", " 0.0\n", " ppth\n", " NaN\n", @@ -7042,7 +7448,7 @@ " NaN\n", " \n", " \n", - " 1143447\n", + " 1188754\n", " 0.0\n", " ppth\n", " NaN\n", @@ -7053,7 +7459,7 @@ " NaN\n", " \n", " \n", - " 1143504\n", + " 1188811\n", " 0.0\n", " ppth\n", " NaN\n", @@ -7064,7 +7470,7 @@ " NaN\n", " \n", " \n", - " 1143505\n", + " 1188812\n", " 0.0\n", " ppth\n", " NaN\n", @@ -7075,7 +7481,7 @@ " NaN\n", " \n", " \n", - " 1143506\n", + " 1188813\n", " 0.0\n", " ppth\n", " NaN\n", @@ -7086,7 +7492,7 @@ " NaN\n", " \n", " \n", - " 1143507\n", + " 1188814\n", " 0.0\n", " ppth\n", " NaN\n", @@ -7097,7 +7503,7 @@ " NaN\n", " \n", " \n", - " 1143508\n", + " 1188815\n", " 0.0\n", " ppth\n", " NaN\n", @@ -7108,7 +7514,7 @@ " NaN\n", " \n", " \n", - " 1222911\n", + " 1234106\n", " 0.0\n", " ppth\n", " NaN\n", @@ -7119,7 +7525,7 @@ " NaN\n", " \n", " \n", - " 1232720\n", + " 1243913\n", " 0.0\n", " ppth\n", " NaN\n", @@ -7135,234 +7541,234 @@ ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag \\\n", + "25321 0.0 ppth NaN \n", "25322 0.0 ppth NaN \n", - "25323 0.0 ppth NaN \n", + "46498 0.0 ppth NaN \n", "46499 0.0 ppth NaN \n", - "46500 0.0 ppth NaN \n", "373948 0 ppth NaN \n", - "551938 0.0 ppth NaN \n", - "561266 0.0 ppth NaN \n", - "695233 -0.02 ppth NaN \n", - "965203 0 ppth NaN \n", - "968016 0 ppth NaN \n", - "969685 0.00 ppth NaN \n", - "970946 0.00 ppth NaN \n", - "971984 0 ppth NaN \n", - "972832 0.00 ppth NaN \n", - "973447 0.00 ppth NaN \n", - "975164 0 ppth NaN \n", - "976415 0 ppth NaN \n", - "978394 0.00 ppth NaN \n", - "990692 -0.01 ppth NaN \n", - "1135069 0 ppth NaN \n", - "1135074 0 ppth NaN \n", - "1135160 0 ppth NaN \n", - "1135161 0 ppth NaN \n", - "1135162 0 ppth NaN \n", - "1135163 0 ppth NaN \n", - "1137729 0 ppth NaN \n", - "1137868 0 ppth NaN \n", - "1137869 0 ppth NaN \n", - "1137870 0 ppth NaN \n", - "1137871 0 ppth NaN \n", - "1137872 0 ppth NaN \n", - "1137873 0 ppth NaN \n", - "1137968 0 ppth NaN \n", - "1143331 0.0 ppth NaN \n", - "1143332 0.0 ppth NaN \n", - "1143376 0.0 ppth NaN \n", - "1143447 0.0 ppth NaN \n", - "1143504 0.0 ppth NaN \n", - "1143505 0.0 ppth NaN \n", - "1143506 0.0 ppth NaN \n", - "1143507 0.0 ppth NaN \n", - "1143508 0.0 ppth NaN \n", - "1222911 0.0 ppth NaN \n", - "1232720 0.0 ppth NaN \n", + "551972 0.0 ppth NaN \n", + "561300 0.0 ppth NaN \n", + "695266 -0.02 ppth NaN \n", + "968155 0 ppth NaN \n", + "970962 0 ppth NaN \n", + "972633 0.00 ppth NaN \n", + "973891 0.00 ppth NaN \n", + "974926 0 ppth NaN \n", + "975776 0.00 ppth NaN \n", + "976391 0.00 ppth NaN \n", + "978112 0 ppth NaN \n", + "979364 0 ppth NaN \n", + "981344 0.00 ppth NaN \n", + "993644 -0.01 ppth NaN \n", + "1180376 0 ppth NaN \n", + "1180381 0 ppth NaN \n", + "1180467 0 ppth NaN \n", + "1180468 0 ppth NaN \n", + "1180469 0 ppth NaN \n", + "1180470 0 ppth NaN \n", + "1183036 0 ppth NaN \n", + "1183175 0 ppth NaN \n", + "1183176 0 ppth NaN \n", + "1183177 0 ppth NaN \n", + "1183178 0 ppth NaN \n", + "1183179 0 ppth NaN \n", + "1183180 0 ppth NaN \n", + "1183275 0 ppth NaN \n", + "1188638 0.0 ppth NaN \n", + "1188639 0.0 ppth NaN \n", + "1188683 0.0 ppth NaN \n", + "1188754 0.0 ppth NaN \n", + "1188811 0.0 ppth NaN \n", + "1188812 0.0 ppth NaN \n", + "1188813 0.0 ppth NaN \n", + "1188814 0.0 ppth NaN \n", + "1188815 0.0 ppth NaN \n", + "1234106 0.0 ppth NaN \n", + "1243913 0.0 ppth NaN \n", "\n", " Salinity ResultDetectionConditionText \\\n", + "25321 0.0 Practical_Salinity_Units NaN \n", "25322 0.0 Practical_Salinity_Units NaN \n", - "25323 0.0 Practical_Salinity_Units NaN \n", + "46498 0.0 Practical_Salinity_Units NaN \n", "46499 0.0 Practical_Salinity_Units NaN \n", - "46500 0.0 Practical_Salinity_Units NaN \n", "373948 0.0 Practical_Salinity_Units NaN \n", - "551938 0.0 Practical_Salinity_Units NaN \n", - "561266 0.0 Practical_Salinity_Units NaN \n", - "695233 -0.02 Practical_Salinity_Units NaN \n", - "965203 0.0 Practical_Salinity_Units NaN \n", - "968016 0.0 Practical_Salinity_Units NaN \n", - "969685 0.0 Practical_Salinity_Units NaN \n", - "970946 0.0 Practical_Salinity_Units NaN \n", - "971984 0.0 Practical_Salinity_Units NaN \n", - "972832 0.0 Practical_Salinity_Units NaN \n", - "973447 0.0 Practical_Salinity_Units NaN \n", - "975164 0.0 Practical_Salinity_Units NaN \n", - "976415 0.0 Practical_Salinity_Units NaN \n", - "978394 0.0 Practical_Salinity_Units NaN \n", - "990692 -0.01 Practical_Salinity_Units NaN \n", - "1135069 0.0 Practical_Salinity_Units NaN \n", - "1135074 0.0 Practical_Salinity_Units NaN \n", - "1135160 0.0 Practical_Salinity_Units NaN \n", - "1135161 0.0 Practical_Salinity_Units NaN \n", - "1135162 0.0 Practical_Salinity_Units NaN \n", - "1135163 0.0 Practical_Salinity_Units NaN \n", - "1137729 0.0 Practical_Salinity_Units NaN \n", - "1137868 0.0 Practical_Salinity_Units NaN \n", - "1137869 0.0 Practical_Salinity_Units NaN \n", - "1137870 0.0 Practical_Salinity_Units NaN \n", - "1137871 0.0 Practical_Salinity_Units NaN \n", - "1137872 0.0 Practical_Salinity_Units NaN \n", - "1137873 0.0 Practical_Salinity_Units NaN \n", - "1137968 0.0 Practical_Salinity_Units NaN \n", - "1143331 0.0 Practical_Salinity_Units NaN \n", - "1143332 0.0 Practical_Salinity_Units NaN \n", - "1143376 0.0 Practical_Salinity_Units NaN \n", - "1143447 0.0 Practical_Salinity_Units NaN \n", - "1143504 0.0 Practical_Salinity_Units NaN \n", - "1143505 0.0 Practical_Salinity_Units NaN \n", - "1143506 0.0 Practical_Salinity_Units NaN \n", - "1143507 0.0 Practical_Salinity_Units NaN \n", - "1143508 0.0 Practical_Salinity_Units NaN \n", - "1222911 0.0 Practical_Salinity_Units NaN \n", - "1232720 0.0 Practical_Salinity_Units NaN \n", + "551972 0.0 Practical_Salinity_Units NaN \n", + "561300 0.0 Practical_Salinity_Units NaN \n", + "695266 -0.02 Practical_Salinity_Units NaN \n", + "968155 0.0 Practical_Salinity_Units NaN \n", + "970962 0.0 Practical_Salinity_Units NaN \n", + "972633 0.0 Practical_Salinity_Units NaN \n", + "973891 0.0 Practical_Salinity_Units NaN \n", + "974926 0.0 Practical_Salinity_Units NaN \n", + "975776 0.0 Practical_Salinity_Units NaN \n", + "976391 0.0 Practical_Salinity_Units NaN \n", + "978112 0.0 Practical_Salinity_Units NaN \n", + "979364 0.0 Practical_Salinity_Units NaN \n", + "981344 0.0 Practical_Salinity_Units NaN \n", + "993644 -0.01 Practical_Salinity_Units NaN \n", + "1180376 0.0 Practical_Salinity_Units NaN \n", + "1180381 0.0 Practical_Salinity_Units NaN \n", + "1180467 0.0 Practical_Salinity_Units NaN \n", + "1180468 0.0 Practical_Salinity_Units NaN \n", + "1180469 0.0 Practical_Salinity_Units NaN \n", + "1180470 0.0 Practical_Salinity_Units NaN \n", + "1183036 0.0 Practical_Salinity_Units NaN \n", + "1183175 0.0 Practical_Salinity_Units NaN \n", + "1183176 0.0 Practical_Salinity_Units NaN \n", + "1183177 0.0 Practical_Salinity_Units NaN \n", + "1183178 0.0 Practical_Salinity_Units NaN \n", + "1183179 0.0 Practical_Salinity_Units NaN \n", + "1183180 0.0 Practical_Salinity_Units NaN \n", + "1183275 0.0 Practical_Salinity_Units NaN \n", + "1188638 0.0 Practical_Salinity_Units NaN \n", + "1188639 0.0 Practical_Salinity_Units NaN \n", + "1188683 0.0 Practical_Salinity_Units NaN \n", + "1188754 0.0 Practical_Salinity_Units NaN \n", + "1188811 0.0 Practical_Salinity_Units NaN \n", + "1188812 0.0 Practical_Salinity_Units NaN \n", + "1188813 0.0 Practical_Salinity_Units NaN \n", + "1188814 0.0 Practical_Salinity_Units NaN \n", + "1188815 0.0 Practical_Salinity_Units NaN \n", + "1234106 0.0 Practical_Salinity_Units NaN \n", + "1243913 0.0 Practical_Salinity_Units NaN \n", "\n", " DetectionQuantitationLimitTypeName \\\n", + "25321 Method Detection Level \n", "25322 Lower Quantitation Limit \n", - "25323 Method Detection Level \n", + "46498 Method Detection Level \n", "46499 Lower Quantitation Limit \n", - "46500 Method Detection Level \n", "373948 NaN \n", - "551938 NaN \n", - "561266 NaN \n", - "695233 NaN \n", - "965203 NaN \n", - "968016 NaN \n", - "969685 NaN \n", - "970946 NaN \n", - "971984 NaN \n", - "972832 NaN \n", - "973447 NaN \n", - "975164 NaN \n", - "976415 NaN \n", - "978394 NaN \n", - "990692 NaN \n", - "1135069 NaN \n", - "1135074 NaN \n", - "1135160 NaN \n", - "1135161 NaN \n", - "1135162 NaN \n", - "1135163 NaN \n", - "1137729 NaN \n", - "1137868 NaN \n", - "1137869 NaN \n", - "1137870 NaN \n", - "1137871 NaN \n", - "1137872 NaN \n", - "1137873 NaN \n", - "1137968 NaN \n", - "1143331 NaN \n", - "1143332 NaN \n", - "1143376 NaN \n", - "1143447 NaN \n", - "1143504 NaN \n", - "1143505 NaN \n", - "1143506 NaN \n", - "1143507 NaN \n", - "1143508 NaN \n", - "1222911 NaN \n", - "1232720 NaN \n", + "551972 NaN \n", + "561300 NaN \n", + "695266 NaN \n", + "968155 NaN \n", + "970962 NaN \n", + "972633 NaN \n", + "973891 NaN \n", + "974926 NaN \n", + "975776 NaN \n", + "976391 NaN \n", + "978112 NaN \n", + "979364 NaN \n", + "981344 NaN \n", + "993644 NaN \n", + "1180376 NaN \n", + "1180381 NaN \n", + "1180467 NaN \n", + "1180468 NaN \n", + "1180469 NaN \n", + "1180470 NaN \n", + "1183036 NaN \n", + "1183175 NaN \n", + "1183176 NaN \n", + "1183177 NaN \n", + "1183178 NaN \n", + "1183179 NaN \n", + "1183180 NaN \n", + "1183275 NaN \n", + "1188638 NaN \n", + "1188639 NaN \n", + "1188683 NaN \n", + "1188754 NaN \n", + "1188811 NaN \n", + "1188812 NaN \n", + "1188813 NaN \n", + "1188814 NaN \n", + "1188815 NaN \n", + "1234106 NaN \n", + "1243913 NaN \n", "\n", " DetectionQuantitationLimitMeasure/MeasureValue \\\n", + "25321 1.0 \n", "25322 5.0 \n", - "25323 1.0 \n", + "46498 1.0 \n", "46499 5.0 \n", - "46500 1.0 \n", "373948 NaN \n", - "551938 NaN \n", - "561266 NaN \n", - "695233 NaN \n", - "965203 NaN \n", - "968016 NaN \n", - "969685 NaN \n", - "970946 NaN \n", - "971984 NaN \n", - "972832 NaN \n", - "973447 NaN \n", - "975164 NaN \n", - "976415 NaN \n", - "978394 NaN \n", - "990692 NaN \n", - "1135069 NaN \n", - "1135074 NaN \n", - "1135160 NaN \n", - "1135161 NaN \n", - "1135162 NaN \n", - "1135163 NaN \n", - "1137729 NaN \n", - "1137868 NaN \n", - "1137869 NaN \n", - "1137870 NaN \n", - "1137871 NaN \n", - "1137872 NaN \n", - "1137873 NaN \n", - "1137968 NaN \n", - "1143331 NaN \n", - "1143332 NaN \n", - "1143376 NaN \n", - "1143447 NaN \n", - "1143504 NaN \n", - "1143505 NaN \n", - "1143506 NaN \n", - "1143507 NaN \n", - "1143508 NaN \n", - "1222911 NaN \n", - "1232720 NaN \n", + "551972 NaN \n", + "561300 NaN \n", + "695266 NaN \n", + "968155 NaN \n", + "970962 NaN \n", + "972633 NaN \n", + "973891 NaN \n", + "974926 NaN \n", + "975776 NaN \n", + "976391 NaN \n", + "978112 NaN \n", + "979364 NaN \n", + "981344 NaN \n", + "993644 NaN \n", + "1180376 NaN \n", + "1180381 NaN \n", + "1180467 NaN \n", + "1180468 NaN \n", + "1180469 NaN \n", + "1180470 NaN \n", + "1183036 NaN \n", + "1183175 NaN \n", + "1183176 NaN \n", + "1183177 NaN \n", + "1183178 NaN \n", + "1183179 NaN \n", + "1183180 NaN \n", + "1183275 NaN \n", + "1188638 NaN \n", + "1188639 NaN \n", + "1188683 NaN \n", + "1188754 NaN \n", + "1188811 NaN \n", + "1188812 NaN \n", + "1188813 NaN \n", + "1188814 NaN \n", + "1188815 NaN \n", + "1234106 NaN \n", + "1243913 NaN \n", "\n", " DetectionQuantitationLimitMeasure/MeasureUnitCode \n", + "25321 ppth \n", "25322 ppth \n", - "25323 ppth \n", + "46498 ppth \n", "46499 ppth \n", - "46500 ppth \n", "373948 NaN \n", - "551938 NaN \n", - "561266 NaN \n", - "695233 NaN \n", - "965203 NaN \n", - "968016 NaN \n", - "969685 NaN \n", - "970946 NaN \n", - "971984 NaN \n", - "972832 NaN \n", - "973447 NaN \n", - "975164 NaN \n", - "976415 NaN \n", - "978394 NaN \n", - "990692 NaN \n", - "1135069 NaN \n", - "1135074 NaN \n", - "1135160 NaN \n", - "1135161 NaN \n", - "1135162 NaN \n", - "1135163 NaN \n", - "1137729 NaN \n", - "1137868 NaN \n", - "1137869 NaN \n", - "1137870 NaN \n", - "1137871 NaN \n", - "1137872 NaN \n", - "1137873 NaN \n", - "1137968 NaN \n", - "1143331 NaN \n", - "1143332 NaN \n", - "1143376 NaN \n", - "1143447 NaN \n", - "1143504 NaN \n", - "1143505 NaN \n", - "1143506 NaN \n", - "1143507 NaN \n", - "1143508 NaN \n", - "1222911 NaN \n", - "1232720 NaN " + "551972 NaN \n", + "561300 NaN \n", + "695266 NaN \n", + "968155 NaN \n", + "970962 NaN \n", + "972633 NaN \n", + "973891 NaN \n", + "974926 NaN \n", + "975776 NaN \n", + "976391 NaN \n", + "978112 NaN \n", + "979364 NaN \n", + "981344 NaN \n", + "993644 NaN \n", + "1180376 NaN \n", + "1180381 NaN \n", + "1180467 NaN \n", + "1180468 NaN \n", + "1180469 NaN \n", + "1180470 NaN \n", + "1183036 NaN \n", + "1183175 NaN \n", + "1183176 NaN \n", + "1183177 NaN \n", + "1183178 NaN \n", + "1183179 NaN \n", + "1183180 NaN \n", + "1183275 NaN \n", + "1188638 NaN \n", + "1188639 NaN \n", + "1188683 NaN \n", + "1188754 NaN \n", + "1188811 NaN \n", + "1188812 NaN \n", + "1188813 NaN \n", + "1188814 NaN \n", + "1188815 NaN \n", + "1234106 NaN \n", + "1243913 NaN " ] }, "execution_count": 77, @@ -7385,21 +7791,28 @@ { "cell_type": "code", "execution_count": 78, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:06:38.430399Z", + "iopub.status.busy": "2024-08-16T21:06:38.430038Z", + "iopub.status.idle": "2024-08-16T21:06:38.465581Z", + "shell.execute_reply": "2024-08-16T21:06:38.465079Z" + } + }, "outputs": [ { "data": { "text/plain": [ - "481410 626.0 microsiemens / centimeter\n", - "486059 688.0 microsiemens / centimeter\n", - "503732 606.0 microsiemens / centimeter\n", - "504604 606.0 microsiemens / centimeter\n", - "507743 633.0 microsiemens / centimeter\n", - "577326 775.0 microsiemens / centimeter\n", - "580108 776.0 microsiemens / centimeter\n", - "581088 776.0 microsiemens / centimeter\n", - "583217 776.0 microsiemens / centimeter\n", - "588559 775.0 microsiemens / centimeter\n", + "481429 626.0 microsiemens / centimeter\n", + "486072 688.0 microsiemens / centimeter\n", + "503763 606.0 microsiemens / centimeter\n", + "504635 606.0 microsiemens / centimeter\n", + "507781 633.0 microsiemens / centimeter\n", + "577362 775.0 microsiemens / centimeter\n", + "580144 776.0 microsiemens / centimeter\n", + "581124 776.0 microsiemens / centimeter\n", + "583254 776.0 microsiemens / centimeter\n", + "588592 775.0 microsiemens / centimeter\n", "Name: Conductivity, dtype: object" ] }, @@ -7424,7 +7837,14 @@ { "cell_type": "code", "execution_count": 79, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:06:38.467918Z", + "iopub.status.busy": "2024-08-16T21:06:38.467562Z", + "iopub.status.idle": "2024-08-16T21:06:39.621434Z", + "shell.execute_reply": "2024-08-16T21:06:39.620875Z" + } + }, "outputs": [ { "data": { @@ -7456,7 +7876,7 @@ " \n", " \n", " \n", - " 580108\n", + " 580144\n", " 776\n", " uS/cm\n", " NaN\n", @@ -7464,7 +7884,7 @@ " 776.0 microsiemens / centimeter\n", " \n", " \n", - " 581088\n", + " 581124\n", " 776\n", " uS/cm\n", " NaN\n", @@ -7472,7 +7892,7 @@ " 776.0 microsiemens / centimeter\n", " \n", " \n", - " 583217\n", + " 583254\n", " 776\n", " uS/cm\n", " NaN\n", @@ -7480,7 +7900,7 @@ " 776.0 microsiemens / centimeter\n", " \n", " \n", - " 577326\n", + " 577362\n", " 775\n", " uS/cm\n", " NaN\n", @@ -7488,7 +7908,7 @@ " 775.0 microsiemens / centimeter\n", " \n", " \n", - " 588559\n", + " 588592\n", " 775\n", " uS/cm\n", " NaN\n", @@ -7496,7 +7916,7 @@ " 775.0 microsiemens / centimeter\n", " \n", " \n", - " 486059\n", + " 486072\n", " 688\n", " uS/cm\n", " NaN\n", @@ -7504,7 +7924,7 @@ " 688.0 microsiemens / centimeter\n", " \n", " \n", - " 507743\n", + " 507781\n", " 633\n", " uS/cm\n", " NaN\n", @@ -7512,7 +7932,7 @@ " 633.0 microsiemens / centimeter\n", " \n", " \n", - " 481410\n", + " 481429\n", " 626\n", " uS/cm\n", " NaN\n", @@ -7520,7 +7940,7 @@ " 626.0 microsiemens / centimeter\n", " \n", " \n", - " 503732\n", + " 503763\n", " 606\n", " uS/cm\n", " NaN\n", @@ -7528,7 +7948,7 @@ " 606.0 microsiemens / centimeter\n", " \n", " \n", - " 504604\n", + " 504635\n", " 606\n", " uS/cm\n", " NaN\n", @@ -7541,28 +7961,28 @@ ], "text/plain": [ " ResultMeasureValue ResultMeasure/MeasureUnitCode QA_flag Salinity \\\n", - "580108 776 uS/cm NaN NaN \n", - "581088 776 uS/cm NaN NaN \n", - "583217 776 uS/cm NaN NaN \n", - "577326 775 uS/cm NaN NaN \n", - "588559 775 uS/cm NaN NaN \n", - "486059 688 uS/cm NaN NaN \n", - "507743 633 uS/cm NaN NaN \n", - "481410 626 uS/cm NaN NaN \n", - "503732 606 uS/cm NaN NaN \n", - "504604 606 uS/cm NaN NaN \n", + "580144 776 uS/cm NaN NaN \n", + "581124 776 uS/cm NaN NaN \n", + "583254 776 uS/cm NaN NaN \n", + "577362 775 uS/cm NaN NaN \n", + "588592 775 uS/cm NaN NaN \n", + "486072 688 uS/cm NaN NaN \n", + "507781 633 uS/cm NaN NaN \n", + "481429 626 uS/cm NaN NaN \n", + "503763 606 uS/cm NaN NaN \n", + "504635 606 uS/cm NaN NaN \n", "\n", " Conductivity \n", - "580108 776.0 microsiemens / centimeter \n", - "581088 776.0 microsiemens / centimeter \n", - "583217 776.0 microsiemens / centimeter \n", - "577326 775.0 microsiemens / centimeter \n", - "588559 775.0 microsiemens / centimeter \n", - "486059 688.0 microsiemens / centimeter \n", - "507743 633.0 microsiemens / centimeter \n", - "481410 626.0 microsiemens / centimeter \n", - "503732 606.0 microsiemens / centimeter \n", - "504604 606.0 microsiemens / centimeter " + "580144 776.0 microsiemens / centimeter \n", + "581124 776.0 microsiemens / centimeter \n", + "583254 776.0 microsiemens / centimeter \n", + "577362 775.0 microsiemens / centimeter \n", + "588592 775.0 microsiemens / centimeter \n", + "486072 688.0 microsiemens / centimeter \n", + "507781 633.0 microsiemens / centimeter \n", + "481429 626.0 microsiemens / centimeter \n", + "503763 606.0 microsiemens / centimeter \n", + "504635 606.0 microsiemens / centimeter " ] }, "execution_count": 79, @@ -7580,21 +8000,28 @@ { "cell_type": "code", "execution_count": 80, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:06:39.623896Z", + "iopub.status.busy": "2024-08-16T21:06:39.623543Z", + "iopub.status.idle": "2024-08-16T21:06:39.704455Z", + "shell.execute_reply": "2024-08-16T21:06:39.703877Z" + } + }, "outputs": [ { "data": { "text/plain": [ - "580108 0.379 dimensionless\n", - "581088 0.379 dimensionless\n", - "583217 0.379 dimensionless\n", - "577326 0.379 dimensionless\n", - "588559 0.379 dimensionless\n", - "486059 0.335 dimensionless\n", - "507743 0.308 dimensionless\n", - "481410 0.304 dimensionless\n", - "503732 0.294 dimensionless\n", - "504604 0.294 dimensionless\n", + "580144 0.379 dimensionless\n", + "581124 0.379 dimensionless\n", + "583254 0.379 dimensionless\n", + "577362 0.379 dimensionless\n", + "588592 0.379 dimensionless\n", + "486072 0.335 dimensionless\n", + "507781 0.308 dimensionless\n", + "481429 0.304 dimensionless\n", + "503763 0.294 dimensionless\n", + "504635 0.294 dimensionless\n", "Name: Salinity, dtype: object" ] }, @@ -7627,7 +8054,14 @@ { "cell_type": "code", "execution_count": 81, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:06:39.706809Z", + "iopub.status.busy": "2024-08-16T21:06:39.706438Z", + "iopub.status.idle": "2024-08-16T21:06:39.750692Z", + "shell.execute_reply": "2024-08-16T21:06:39.750110Z" + } + }, "outputs": [ { "data": { @@ -7657,31 +8091,31 @@ " \n", " \n", " \n", - " 580108\n", + " 580144\n", " 2007-08-15\n", " NaN\n", " NaN\n", " \n", " \n", - " 581088\n", + " 581124\n", " 2007-08-15\n", " NaN\n", " NaN\n", " \n", " \n", - " 583217\n", + " 583254\n", " 2007-08-15\n", " NaN\n", " NaN\n", " \n", " \n", - " 577326\n", + " 577362\n", " 2007-08-15\n", " NaN\n", " NaN\n", " \n", " \n", - " 588559\n", + " 588592\n", " 2007-08-15\n", " NaN\n", " NaN\n", @@ -7693,68 +8127,68 @@ " ...\n", " \n", " \n", - " 1447169\n", + " 1469287\n", " 1955-04-08\n", " NaN\n", " NaN\n", " \n", " \n", - " 1447170\n", + " 1469288\n", " 1955-04-08\n", " NaN\n", " NaN\n", " \n", " \n", - " 1447171\n", + " 1469289\n", " 1957-10-21\n", " 14:05:00\n", " EST\n", " \n", " \n", - " 1447172\n", + " 1469290\n", " 1955-04-08\n", " NaN\n", " NaN\n", " \n", " \n", - " 1447173\n", + " 1469291\n", " 1955-04-08\n", " NaN\n", " NaN\n", " \n", " \n", "\n", - "

1447174 rows × 3 columns

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1469292 rows × 3 columns

\n", "" ], "text/plain": [ " ActivityStartDate ActivityStartTime/Time \\\n", - "580108 2007-08-15 NaN \n", - "581088 2007-08-15 NaN \n", - "583217 2007-08-15 NaN \n", - "577326 2007-08-15 NaN \n", - "588559 2007-08-15 NaN \n", + "580144 2007-08-15 NaN \n", + "581124 2007-08-15 NaN \n", + "583254 2007-08-15 NaN \n", + "577362 2007-08-15 NaN \n", + "588592 2007-08-15 NaN \n", "... ... ... \n", - "1447169 1955-04-08 NaN \n", - "1447170 1955-04-08 NaN \n", - "1447171 1957-10-21 14:05:00 \n", - "1447172 1955-04-08 NaN \n", - "1447173 1955-04-08 NaN \n", + "1469287 1955-04-08 NaN \n", + "1469288 1955-04-08 NaN \n", + "1469289 1957-10-21 14:05:00 \n", + "1469290 1955-04-08 NaN \n", + "1469291 1955-04-08 NaN \n", "\n", " ActivityStartTime/TimeZoneCode \n", - "580108 NaN \n", - "581088 NaN \n", - "583217 NaN \n", - "577326 NaN \n", - "588559 NaN \n", + "580144 NaN \n", + "581124 NaN \n", + "583254 NaN \n", + "577362 NaN \n", + "588592 NaN \n", "... ... \n", - "1447169 NaN \n", - "1447170 NaN \n", - "1447171 EST \n", - "1447172 NaN \n", - "1447173 NaN \n", + "1469287 NaN \n", + "1469288 NaN \n", + "1469289 EST \n", + "1469290 NaN \n", + "1469291 NaN \n", "\n", - "[1447174 rows x 3 columns]" + "[1469292 rows x 3 columns]" ] }, "execution_count": 81, @@ -7771,13 +8205,20 @@ { "cell_type": "code", "execution_count": 82, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:06:39.752986Z", + "iopub.status.busy": "2024-08-16T21:06:39.752613Z", + "iopub.status.idle": "2024-08-16T21:06:51.282992Z", + "shell.execute_reply": "2024-08-16T21:06:51.282387Z" + } + }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\dataretrieval\\utils.py:87: UserWarning: Warning: 100662 incomplete dates found, consider setting datetime_index to False.\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/dataretrieval/utils.py:87: UserWarning: Warning: 100662 incomplete dates found, consider setting datetime_index to False.\n", " warnings.warn(\n" ] }, @@ -7808,27 +8249,27 @@ " \n", " \n", " \n", - " 580108\n", + " 580144\n", " 2007-08-15\n", " NaT\n", " \n", " \n", - " 581088\n", + " 581124\n", " 2007-08-15\n", " NaT\n", " \n", " \n", - " 583217\n", + " 583254\n", " 2007-08-15\n", " NaT\n", " \n", " \n", - " 577326\n", + " 577362\n", " 2007-08-15\n", " NaT\n", " \n", " \n", - " 588559\n", + " 588592\n", " 2007-08-15\n", " NaT\n", " \n", @@ -7838,50 +8279,50 @@ " ...\n", " \n", " \n", - " 1447169\n", + " 1469287\n", " 1955-04-08\n", " NaT\n", " \n", " \n", - " 1447170\n", + " 1469288\n", " 1955-04-08\n", " NaT\n", " \n", " \n", - " 1447171\n", + " 1469289\n", " 1957-10-21\n", " 1957-10-21 19:05:00+00:00\n", " \n", " \n", - " 1447172\n", + " 1469290\n", " 1955-04-08\n", " NaT\n", " \n", " \n", - " 1447173\n", + " 1469291\n", " 1955-04-08\n", " NaT\n", " \n", " \n", "\n", - "

1447174 rows × 2 columns

\n", + "

1469292 rows × 2 columns

\n", "" ], "text/plain": [ " ActivityStartDate Activity_datetime\n", - "580108 2007-08-15 NaT\n", - "581088 2007-08-15 NaT\n", - "583217 2007-08-15 NaT\n", - "577326 2007-08-15 NaT\n", - "588559 2007-08-15 NaT\n", + "580144 2007-08-15 NaT\n", + "581124 2007-08-15 NaT\n", + "583254 2007-08-15 NaT\n", + "577362 2007-08-15 NaT\n", + "588592 2007-08-15 NaT\n", "... ... ...\n", - "1447169 1955-04-08 NaT\n", - "1447170 1955-04-08 NaT\n", - "1447171 1957-10-21 1957-10-21 19:05:00+00:00\n", - "1447172 1955-04-08 NaT\n", - "1447173 1955-04-08 NaT\n", + "1469287 1955-04-08 NaT\n", + "1469288 1955-04-08 NaT\n", + "1469289 1957-10-21 1957-10-21 19:05:00+00:00\n", + "1469290 1955-04-08 NaT\n", + "1469291 1955-04-08 NaT\n", "\n", - "[1447174 rows x 2 columns]" + "[1469292 rows x 2 columns]" ] }, "execution_count": 82, @@ -7919,31 +8360,30 @@ { "cell_type": "code", "execution_count": 83, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:06:51.285380Z", + "iopub.status.busy": "2024-08-16T21:06:51.285007Z", + "iopub.status.idle": "2024-08-16T21:06:52.076211Z", + "shell.execute_reply": "2024-08-16T21:06:52.075713Z" + } + }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" - ] - }, { "data": { "text/plain": [ - "486059 0.95\n", - "507743 0.50\n", - "481410 0.00\n", - "377563 0.10\n", - "378566 0.10\n", - " ... \n", - "887490 0.43\n", - "891588 0.38\n", - "893814 0.43\n", - "894681 0.38\n", - "895166 0.33\n", - "Name: ResultDepthHeightMeasure/MeasureValue, Length: 261, dtype: float64" + "486072 0.95\n", + "507781 0.50\n", + "481429 0.00\n", + "381400 3.00\n", + "384310 3.00\n", + " ... \n", + "1363579 0.33\n", + "1412499 0.33\n", + "1413031 0.30\n", + "1414919 0.30\n", + "1417055 0.33\n", + "Name: ResultDepthHeightMeasure/MeasureValue, Length: 495, dtype: float64" ] }, "execution_count": 83, @@ -7968,7 +8408,14 @@ { "cell_type": "code", "execution_count": 84, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:06:52.078446Z", + "iopub.status.busy": "2024-08-16T21:06:52.078162Z", + "iopub.status.idle": "2024-08-16T21:07:12.799126Z", + "shell.execute_reply": "2024-08-16T21:07:12.798532Z" + } + }, "outputs": [ { "data": { @@ -8002,21 +8449,21 @@ " DataLoggerLine\n", " ResultDetectionConditionText\n", " ...\n", - " QA_Fecal_Coliform\n", - " QA_E_coli\n", " QA_Salinity\n", - " QA_TP_Phosphorus\n", - " QA_TDP_Phosphorus\n", - " QA_Other_Phosphorus\n", + " QA_E_coli\n", + " QA_Chlorophyll\n", + " QA_Carbon\n", + " QA_DO\n", " QA_Conductivity\n", - " QA_Nitrogen\n", + " QA_Fecal_Coliform\n", + " QA_Turbidity\n", " QA_pH\n", - " QA_Temperature\n", + " QA_Secchi\n", " \n", " \n", " \n", " \n", - " 580108\n", + " 580144\n", " NARS_WQX\n", " EPA National Aquatic Resources Survey (NARS)\n", " NARS_WQX-PRF:0161:1:070815:2\n", @@ -8040,7 +8487,7 @@ " NaN\n", " \n", " \n", - " 581088\n", + " 581124\n", " NARS_WQX\n", " EPA National Aquatic Resources Survey (NARS)\n", " NARS_WQX-PRF:0161:1:070815:3.3\n", @@ -8064,7 +8511,7 @@ " NaN\n", " \n", " \n", - " 583217\n", + " 583254\n", " NARS_WQX\n", " EPA National Aquatic Resources Survey (NARS)\n", " NARS_WQX-PRF:0161:1:070815:3\n", @@ -8088,7 +8535,7 @@ " NaN\n", " \n", " \n", - " 577326\n", + " 577362\n", " NARS_WQX\n", " EPA National Aquatic Resources Survey (NARS)\n", " NARS_WQX-PRF:0161:1:070815:1\n", @@ -8112,7 +8559,7 @@ " NaN\n", " \n", " \n", - " 588559\n", + " 588592\n", " NARS_WQX\n", " EPA National Aquatic Resources Survey (NARS)\n", " NARS_WQX-PRF:0161:1:070815:0\n", @@ -8160,7 +8607,7 @@ " ...\n", " \n", " \n", - " 1447169\n", + " 1469287\n", " USGS-FL\n", " USGS Florida Water Science Center\n", " nwisfl.01.95500762\n", @@ -8168,7 +8615,7 @@ " NaN\n", " NaN\n", " USGS-273926082304501\n", - " NWIS-6842517\n", + " NWIS-6842541\n", " NaN\n", " NaN\n", " ...\n", @@ -8184,7 +8631,7 @@ " NaN\n", " \n", " \n", - " 1447170\n", + " 1469288\n", " USGS-FL\n", " USGS Florida Water Science Center\n", " nwisfl.01.95500762\n", @@ -8192,7 +8639,7 @@ " NaN\n", " NaN\n", " USGS-273926082304501\n", - " NWIS-6842520\n", + " NWIS-6842544\n", " NaN\n", " NaN\n", " ...\n", @@ -8208,7 +8655,7 @@ " NaN\n", " \n", " \n", - " 1447171\n", + " 1469289\n", " USGS-FL\n", " USGS Florida Water Science Center\n", " nwisfl.01.95800924\n", @@ -8216,7 +8663,7 @@ " 14:05:00\n", " -0500\n", " USGS-02306001\n", - " NWIS-6894386\n", + " NWIS-6894410\n", " NaN\n", " NaN\n", " ...\n", @@ -8232,7 +8679,7 @@ " NaN\n", " \n", " \n", - " 1447172\n", + " 1469290\n", " USGS-FL\n", " USGS Florida Water Science Center\n", " nwisfl.01.95500782\n", @@ -8240,7 +8687,7 @@ " NaN\n", " NaN\n", " USGS-274455082253601\n", - " NWIS-6842917\n", + " NWIS-6842941\n", " NaN\n", " NaN\n", " ...\n", @@ -8256,7 +8703,7 @@ " NaN\n", " \n", " \n", - " 1447173\n", + " 1469291\n", " USGS-FL\n", " USGS Florida Water Science Center\n", " nwisfl.01.95500782\n", @@ -8264,7 +8711,7 @@ " NaN\n", " NaN\n", " USGS-274455082253601\n", - " NWIS-6842920\n", + " NWIS-6842944\n", " NaN\n", " NaN\n", " ...\n", @@ -8281,102 +8728,102 @@ " \n", " \n", "\n", - "

1379609 rows × 117 columns

\n", + "

1400615 rows × 117 columns

\n", "" ], "text/plain": [ " OrganizationIdentifier OrganizationFormalName \\\n", - "580108 NARS_WQX EPA National Aquatic Resources Survey (NARS) \n", - "581088 NARS_WQX EPA National Aquatic Resources Survey (NARS) \n", - "583217 NARS_WQX EPA National Aquatic Resources Survey (NARS) \n", - "577326 NARS_WQX EPA National Aquatic Resources Survey (NARS) \n", - "588559 NARS_WQX EPA National Aquatic Resources Survey (NARS) \n", + "580144 NARS_WQX EPA National Aquatic Resources Survey (NARS) \n", + "581124 NARS_WQX EPA National Aquatic Resources Survey (NARS) \n", + "583254 NARS_WQX EPA National Aquatic Resources Survey (NARS) \n", + "577362 NARS_WQX EPA National Aquatic Resources Survey (NARS) \n", + "588592 NARS_WQX EPA National Aquatic Resources Survey (NARS) \n", "... ... ... \n", - "1447169 USGS-FL USGS Florida Water Science Center \n", - "1447170 USGS-FL USGS Florida Water Science Center \n", - "1447171 USGS-FL USGS Florida Water Science Center \n", - "1447172 USGS-FL USGS Florida Water Science Center \n", - "1447173 USGS-FL USGS Florida Water Science Center \n", + "1469287 USGS-FL USGS Florida Water Science Center \n", + "1469288 USGS-FL USGS Florida Water Science Center \n", + "1469289 USGS-FL USGS Florida Water Science Center \n", + "1469290 USGS-FL USGS Florida Water Science Center \n", + "1469291 USGS-FL USGS Florida Water Science Center \n", "\n", " ActivityIdentifier ActivityStartDate \\\n", - "580108 NARS_WQX-PRF:0161:1:070815:2 2007-08-15 \n", - "581088 NARS_WQX-PRF:0161:1:070815:3.3 2007-08-15 \n", - "583217 NARS_WQX-PRF:0161:1:070815:3 2007-08-15 \n", - "577326 NARS_WQX-PRF:0161:1:070815:1 2007-08-15 \n", - "588559 NARS_WQX-PRF:0161:1:070815:0 2007-08-15 \n", + "580144 NARS_WQX-PRF:0161:1:070815:2 2007-08-15 \n", + "581124 NARS_WQX-PRF:0161:1:070815:3.3 2007-08-15 \n", + "583254 NARS_WQX-PRF:0161:1:070815:3 2007-08-15 \n", + "577362 NARS_WQX-PRF:0161:1:070815:1 2007-08-15 \n", + "588592 NARS_WQX-PRF:0161:1:070815:0 2007-08-15 \n", "... ... ... \n", - "1447169 nwisfl.01.95500762 1955-04-08 \n", - "1447170 nwisfl.01.95500762 1955-04-08 \n", - "1447171 nwisfl.01.95800924 1957-10-21 \n", - "1447172 nwisfl.01.95500782 1955-04-08 \n", - "1447173 nwisfl.01.95500782 1955-04-08 \n", + "1469287 nwisfl.01.95500762 1955-04-08 \n", + "1469288 nwisfl.01.95500762 1955-04-08 \n", + "1469289 nwisfl.01.95800924 1957-10-21 \n", + "1469290 nwisfl.01.95500782 1955-04-08 \n", + "1469291 nwisfl.01.95500782 1955-04-08 \n", "\n", " ActivityStartTime/Time ActivityStartTime/TimeZoneCode \\\n", - "580108 NaN NaN \n", - "581088 NaN NaN \n", - "583217 NaN NaN \n", - "577326 NaN NaN \n", - "588559 NaN NaN \n", + "580144 NaN NaN \n", + "581124 NaN NaN \n", + "583254 NaN NaN \n", + "577362 NaN NaN \n", + "588592 NaN NaN \n", "... ... ... \n", - "1447169 NaN NaN \n", - "1447170 NaN NaN \n", - "1447171 14:05:00 -0500 \n", - "1447172 NaN NaN \n", - "1447173 NaN NaN \n", + "1469287 NaN NaN \n", + "1469288 NaN NaN \n", + "1469289 14:05:00 -0500 \n", + "1469290 NaN NaN \n", + "1469291 NaN NaN \n", "\n", " MonitoringLocationIdentifier ResultIdentifier DataLoggerLine \\\n", - "580108 NARS_WQX-NLA06608-0161 STORET-183201126 NaN \n", - "581088 NARS_WQX-NLA06608-0161 STORET-183201150 NaN \n", - "583217 NARS_WQX-NLA06608-0161 STORET-183201135 NaN \n", - "577326 NARS_WQX-NLA06608-0161 STORET-183201115 NaN \n", - "588559 NARS_WQX-NLA06608-0161 STORET-183201107 NaN \n", + "580144 NARS_WQX-NLA06608-0161 STORET-183201126 NaN \n", + "581124 NARS_WQX-NLA06608-0161 STORET-183201150 NaN \n", + "583254 NARS_WQX-NLA06608-0161 STORET-183201135 NaN \n", + "577362 NARS_WQX-NLA06608-0161 STORET-183201115 NaN \n", + "588592 NARS_WQX-NLA06608-0161 STORET-183201107 NaN \n", "... ... ... ... \n", - "1447169 USGS-273926082304501 NWIS-6842517 NaN \n", - "1447170 USGS-273926082304501 NWIS-6842520 NaN \n", - "1447171 USGS-02306001 NWIS-6894386 NaN \n", - "1447172 USGS-274455082253601 NWIS-6842917 NaN \n", - "1447173 USGS-274455082253601 NWIS-6842920 NaN \n", - "\n", - " ResultDetectionConditionText ... QA_Fecal_Coliform QA_E_coli \\\n", - "580108 NaN ... NaN NaN \n", - "581088 NaN ... NaN NaN \n", - "583217 NaN ... NaN NaN \n", - "577326 NaN ... NaN NaN \n", - "588559 NaN ... NaN NaN \n", - "... ... ... ... ... \n", - "1447169 NaN ... NaN NaN \n", - "1447170 NaN ... NaN NaN \n", - "1447171 NaN ... NaN NaN \n", - "1447172 NaN ... NaN NaN \n", - "1447173 NaN ... NaN NaN \n", - "\n", - " QA_Salinity QA_TP_Phosphorus QA_TDP_Phosphorus QA_Other_Phosphorus \\\n", - "580108 NaN NaN NaN NaN \n", - "581088 NaN NaN NaN NaN \n", - "583217 NaN NaN NaN NaN \n", - "577326 NaN NaN NaN NaN \n", - "588559 NaN NaN NaN NaN \n", - "... ... ... ... ... \n", - "1447169 NaN NaN NaN NaN \n", - "1447170 NaN NaN NaN NaN \n", - "1447171 NaN NaN NaN NaN \n", - "1447172 NaN NaN NaN NaN \n", - "1447173 NaN NaN NaN NaN \n", - "\n", - " QA_Conductivity QA_Nitrogen QA_pH QA_Temperature \n", - "580108 NaN NaN NaN NaN \n", - "581088 NaN NaN NaN NaN \n", - "583217 NaN NaN NaN NaN \n", - "577326 NaN NaN NaN NaN \n", - "588559 NaN NaN NaN NaN \n", - "... ... ... ... ... \n", - "1447169 NaN NaN NaN NaN \n", - "1447170 NaN NaN NaN NaN \n", - "1447171 NaN NaN NaN NaN \n", - "1447172 NaN NaN NaN NaN \n", - "1447173 NaN NaN NaN NaN \n", - "\n", - "[1379609 rows x 117 columns]" + "1469287 USGS-273926082304501 NWIS-6842541 NaN \n", + "1469288 USGS-273926082304501 NWIS-6842544 NaN \n", + "1469289 USGS-02306001 NWIS-6894410 NaN \n", + "1469290 USGS-274455082253601 NWIS-6842941 NaN \n", + "1469291 USGS-274455082253601 NWIS-6842944 NaN \n", + "\n", + " ResultDetectionConditionText ... QA_Salinity QA_E_coli \\\n", + "580144 NaN ... NaN NaN \n", + "581124 NaN ... NaN NaN \n", + "583254 NaN ... NaN NaN \n", + "577362 NaN ... NaN NaN \n", + "588592 NaN ... NaN NaN \n", + "... ... ... ... ... \n", + "1469287 NaN ... NaN NaN \n", + "1469288 NaN ... NaN NaN \n", + "1469289 NaN ... NaN NaN \n", + "1469290 NaN ... NaN NaN \n", + "1469291 NaN ... NaN NaN \n", + "\n", + " QA_Chlorophyll QA_Carbon QA_DO QA_Conductivity QA_Fecal_Coliform \\\n", + "580144 NaN NaN NaN NaN NaN \n", + "581124 NaN NaN NaN NaN NaN \n", + "583254 NaN NaN NaN NaN NaN \n", + "577362 NaN NaN NaN NaN NaN \n", + "588592 NaN NaN NaN NaN NaN \n", + "... ... ... ... ... ... \n", + "1469287 NaN NaN NaN NaN NaN \n", + "1469288 NaN NaN NaN NaN NaN \n", + "1469289 NaN NaN NaN NaN NaN \n", + "1469290 NaN NaN NaN NaN NaN \n", + "1469291 NaN NaN NaN NaN NaN \n", + "\n", + " QA_Turbidity QA_pH QA_Secchi \n", + "580144 NaN NaN NaN \n", + "581124 NaN NaN NaN \n", + "583254 NaN NaN NaN \n", + "577362 NaN NaN NaN \n", + "588592 NaN NaN NaN \n", + "... ... ... ... \n", + "1469287 NaN NaN NaN \n", + "1469288 NaN NaN NaN \n", + "1469289 NaN NaN NaN \n", + "1469290 NaN NaN NaN \n", + "1469291 NaN NaN NaN \n", + "\n", + "[1400615 rows x 117 columns]" ] }, "execution_count": 84, @@ -8393,7 +8840,14 @@ { "cell_type": "code", "execution_count": 85, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:07:12.801270Z", + "iopub.status.busy": "2024-08-16T21:07:12.801092Z", + "iopub.status.idle": "2024-08-16T21:07:12.804573Z", + "shell.execute_reply": "2024-08-16T21:07:12.804101Z" + } + }, "outputs": [ { "name": "stdout", @@ -8411,13 +8865,20 @@ { "cell_type": "code", "execution_count": 86, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:07:12.806677Z", + "iopub.status.busy": "2024-08-16T21:07:12.806371Z", + "iopub.status.idle": "2024-08-16T21:07:12.809633Z", + "shell.execute_reply": "2024-08-16T21:07:12.809152Z" + } + }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "67565 fewer rows\n" + "68677 fewer rows\n" ] } ], @@ -8429,7 +8890,14 @@ { "cell_type": "code", "execution_count": 87, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:07:12.811807Z", + "iopub.status.busy": "2024-08-16T21:07:12.811428Z", + "iopub.status.idle": "2024-08-16T21:07:14.759772Z", + "shell.execute_reply": "2024-08-16T21:07:14.759180Z" + } + }, "outputs": [ { "data": { @@ -8490,7 +8958,14 @@ { "cell_type": "code", "execution_count": 88, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:07:14.762040Z", + "iopub.status.busy": "2024-08-16T21:07:14.761685Z", + "iopub.status.idle": "2024-08-16T21:07:16.360382Z", + "shell.execute_reply": "2024-08-16T21:07:16.359747Z" + } + }, "outputs": [], "source": [ "# split table into main and characteristics tables\n", @@ -8500,7 +8975,14 @@ { "cell_type": "code", "execution_count": 89, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:07:16.362913Z", + "iopub.status.busy": "2024-08-16T21:07:16.362710Z", + "iopub.status.idle": "2024-08-16T21:07:16.366872Z", + "shell.execute_reply": "2024-08-16T21:07:16.366328Z" + } + }, "outputs": [ { "data": { @@ -8514,11 +8996,11 @@ " 'E_coli', 'DetectionQuantitationLimitTypeName',\n", " 'DetectionQuantitationLimitMeasure/MeasureValue',\n", " 'DetectionQuantitationLimitMeasure/MeasureUnitCode',\n", - " 'Activity_datetime', 'Depth', 'QA_Secchi', 'QA_Carbon', 'QA_DO',\n", - " 'QA_Turbidity', 'QA_Chlorophyll', 'QA_Fecal_Coliform', 'QA_E_coli',\n", - " 'QA_Salinity', 'QA_TP_Phosphorus', 'QA_TDP_Phosphorus',\n", - " 'QA_Other_Phosphorus', 'QA_Conductivity', 'QA_Nitrogen', 'QA_pH',\n", - " 'QA_Temperature'],\n", + " 'Activity_datetime', 'Depth', 'QA_Nitrogen', 'QA_Temperature',\n", + " 'QA_TP_Phosphorus', 'QA_TDP_Phosphorus', 'QA_Other_Phosphorus',\n", + " 'QA_Salinity', 'QA_E_coli', 'QA_Chlorophyll', 'QA_Carbon', 'QA_DO',\n", + " 'QA_Conductivity', 'QA_Fecal_Coliform', 'QA_Turbidity', 'QA_pH',\n", + " 'QA_Secchi'],\n", " dtype='object')" ] }, @@ -8535,7 +9017,14 @@ { "cell_type": "code", "execution_count": 90, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:07:16.368947Z", + "iopub.status.busy": "2024-08-16T21:07:16.368621Z", + "iopub.status.idle": "2024-08-16T21:07:16.381728Z", + "shell.execute_reply": "2024-08-16T21:07:16.381164Z" + } + }, "outputs": [ { "data": { @@ -8569,21 +9058,21 @@ " pH\n", " Salinity\n", " ...\n", - " QA_Fecal_Coliform\n", - " QA_E_coli\n", " QA_Salinity\n", - " QA_TP_Phosphorus\n", - " QA_TDP_Phosphorus\n", - " QA_Other_Phosphorus\n", + " QA_E_coli\n", + " QA_Chlorophyll\n", + " QA_Carbon\n", + " QA_DO\n", " QA_Conductivity\n", - " QA_Nitrogen\n", + " QA_Fecal_Coliform\n", + " QA_Turbidity\n", " QA_pH\n", - " QA_Temperature\n", + " QA_Secchi\n", " \n", " \n", " \n", " \n", - " 580108\n", + " 580144\n", " NARS_WQX\n", " EPA National Aquatic Resources Survey (NARS)\n", " NARS_WQX-PRF:0161:1:070815:2\n", @@ -8607,7 +9096,7 @@ " NaN\n", " \n", " \n", - " 581088\n", + " 581124\n", " NARS_WQX\n", " EPA National Aquatic Resources Survey (NARS)\n", " NARS_WQX-PRF:0161:1:070815:3.3\n", @@ -8631,7 +9120,7 @@ " NaN\n", " \n", " \n", - " 583217\n", + " 583254\n", " NARS_WQX\n", " EPA National Aquatic Resources Survey (NARS)\n", " NARS_WQX-PRF:0161:1:070815:3\n", @@ -8655,7 +9144,7 @@ " NaN\n", " \n", " \n", - " 577326\n", + " 577362\n", " NARS_WQX\n", " EPA National Aquatic Resources Survey (NARS)\n", " NARS_WQX-PRF:0161:1:070815:1\n", @@ -8679,7 +9168,7 @@ " NaN\n", " \n", " \n", - " 588559\n", + " 588592\n", " NARS_WQX\n", " EPA National Aquatic Resources Survey (NARS)\n", " NARS_WQX-PRF:0161:1:070815:0\n", @@ -8709,46 +9198,39 @@ ], "text/plain": [ " OrganizationIdentifier OrganizationFormalName \\\n", - "580108 NARS_WQX EPA National Aquatic Resources Survey (NARS) \n", - "581088 NARS_WQX EPA National Aquatic Resources Survey (NARS) \n", - "583217 NARS_WQX EPA National Aquatic Resources Survey (NARS) \n", - "577326 NARS_WQX EPA National Aquatic Resources Survey (NARS) \n", - "588559 NARS_WQX EPA National Aquatic Resources Survey (NARS) \n", + "580144 NARS_WQX EPA National Aquatic Resources Survey (NARS) \n", + "581124 NARS_WQX EPA National Aquatic Resources Survey (NARS) \n", + "583254 NARS_WQX EPA National Aquatic Resources Survey (NARS) \n", + "577362 NARS_WQX EPA National Aquatic Resources Survey (NARS) \n", + "588592 NARS_WQX EPA National Aquatic Resources Survey (NARS) \n", "\n", " ActivityIdentifier MonitoringLocationIdentifier \\\n", - "580108 NARS_WQX-PRF:0161:1:070815:2 NARS_WQX-NLA06608-0161 \n", - "581088 NARS_WQX-PRF:0161:1:070815:3.3 NARS_WQX-NLA06608-0161 \n", - "583217 NARS_WQX-PRF:0161:1:070815:3 NARS_WQX-NLA06608-0161 \n", - "577326 NARS_WQX-PRF:0161:1:070815:1 NARS_WQX-NLA06608-0161 \n", - "588559 NARS_WQX-PRF:0161:1:070815:0 NARS_WQX-NLA06608-0161 \n", + "580144 NARS_WQX-PRF:0161:1:070815:2 NARS_WQX-NLA06608-0161 \n", + "581124 NARS_WQX-PRF:0161:1:070815:3.3 NARS_WQX-NLA06608-0161 \n", + "583254 NARS_WQX-PRF:0161:1:070815:3 NARS_WQX-NLA06608-0161 \n", + "577362 NARS_WQX-PRF:0161:1:070815:1 NARS_WQX-NLA06608-0161 \n", + "588592 NARS_WQX-PRF:0161:1:070815:0 NARS_WQX-NLA06608-0161 \n", "\n", " ProviderName Secchi Temperature DO pH Salinity ... \\\n", - "580108 STORET NaN NaN NaN NaN 0.379 dimensionless ... \n", - "581088 STORET NaN NaN NaN NaN 0.379 dimensionless ... \n", - "583217 STORET NaN NaN NaN NaN 0.379 dimensionless ... \n", - "577326 STORET NaN NaN NaN NaN 0.379 dimensionless ... \n", - "588559 STORET NaN NaN NaN NaN 0.379 dimensionless ... \n", - "\n", - " QA_Fecal_Coliform QA_E_coli QA_Salinity QA_TP_Phosphorus \\\n", - "580108 NaN NaN NaN NaN \n", - "581088 NaN NaN NaN NaN \n", - "583217 NaN NaN NaN NaN \n", - "577326 NaN NaN NaN NaN \n", - "588559 NaN NaN NaN NaN \n", - "\n", - " QA_TDP_Phosphorus QA_Other_Phosphorus QA_Conductivity QA_Nitrogen \\\n", - "580108 NaN NaN NaN NaN \n", - "581088 NaN NaN NaN NaN \n", - "583217 NaN NaN NaN NaN \n", - "577326 NaN NaN NaN NaN \n", - "588559 NaN NaN NaN NaN \n", - "\n", - " QA_pH QA_Temperature \n", - "580108 NaN NaN \n", - "581088 NaN NaN \n", - "583217 NaN NaN \n", - "577326 NaN NaN \n", - "588559 NaN NaN \n", + "580144 STORET NaN NaN NaN NaN 0.379 dimensionless ... \n", + "581124 STORET NaN NaN NaN NaN 0.379 dimensionless ... \n", + "583254 STORET NaN NaN NaN NaN 0.379 dimensionless ... \n", + "577362 STORET NaN NaN NaN NaN 0.379 dimensionless ... \n", + "588592 STORET NaN NaN NaN NaN 0.379 dimensionless ... \n", + "\n", + " QA_Salinity QA_E_coli QA_Chlorophyll QA_Carbon QA_DO QA_Conductivity \\\n", + "580144 NaN NaN NaN NaN NaN NaN \n", + "581124 NaN NaN NaN NaN NaN NaN \n", + "583254 NaN NaN NaN NaN NaN NaN \n", + "577362 NaN NaN NaN NaN NaN NaN \n", + "588592 NaN NaN NaN NaN NaN NaN \n", + "\n", + " QA_Fecal_Coliform QA_Turbidity QA_pH QA_Secchi \n", + "580144 NaN NaN NaN NaN \n", + "581124 NaN NaN NaN NaN \n", + "583254 NaN NaN NaN NaN \n", + "577362 NaN NaN NaN NaN \n", + "588592 NaN NaN NaN NaN \n", "\n", "[5 rows x 44 columns]" ] @@ -8766,23 +9248,30 @@ { "cell_type": "code", "execution_count": 91, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:07:16.383860Z", + "iopub.status.busy": "2024-08-16T21:07:16.383548Z", + "iopub.status.idle": "2024-08-16T21:07:23.503176Z", + "shell.execute_reply": "2024-08-16T21:07:23.502651Z" + } + }, "outputs": [ { "data": { "text/plain": [ "['Sediment',\n", - " 'QA_Carbon',\n", - " 'QA_DO',\n", - " 'QA_Turbidity',\n", - " 'QA_E_coli',\n", - " 'QA_Salinity',\n", + " 'QA_Nitrogen',\n", + " 'QA_Temperature',\n", " 'QA_TDP_Phosphorus',\n", " 'QA_Other_Phosphorus',\n", + " 'QA_Salinity',\n", + " 'QA_E_coli',\n", + " 'QA_Carbon',\n", + " 'QA_DO',\n", " 'QA_Conductivity',\n", - " 'QA_Nitrogen',\n", - " 'QA_pH',\n", - " 'QA_Temperature']" + " 'QA_Turbidity',\n", + " 'QA_pH']" ] }, "execution_count": 91, @@ -8800,7 +9289,14 @@ { "cell_type": "code", "execution_count": 92, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:07:23.505365Z", + "iopub.status.busy": "2024-08-16T21:07:23.505079Z", + "iopub.status.idle": "2024-08-16T21:07:24.909904Z", + "shell.execute_reply": "2024-08-16T21:07:24.909306Z" + } + }, "outputs": [ { "data": { @@ -8814,7 +9310,7 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -8850,7 +9346,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.12.4" } }, "nbformat": 4, diff --git a/demos/Harmonize_Tampa_Simple.ipynb b/demos/Harmonize_Tampa_Simple.ipynb index ae03653..1d0f7ac 100644 --- a/demos/Harmonize_Tampa_Simple.ipynb +++ b/demos/Harmonize_Tampa_Simple.ipynb @@ -57,6 +57,12 @@ "cell_type": "code", "execution_count": 1, "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:07:29.512952Z", + "iopub.status.busy": "2024-08-16T21:07:29.512542Z", + "iopub.status.idle": "2024-08-16T21:07:29.516504Z", + "shell.execute_reply": "2024-08-16T21:07:29.515926Z" + }, "hidden": true }, "outputs": [], @@ -81,8 +87,24 @@ { "cell_type": "code", "execution_count": 2, - "metadata": {}, - "outputs": [], + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:07:29.519141Z", + "iopub.status.busy": "2024-08-16T21:07:29.518775Z", + "iopub.status.idle": "2024-08-16T21:07:30.234403Z", + "shell.execute_reply": "2024-08-16T21:07:30.233703Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/dataretrieval/nadp.py:44: UserWarning: GDAL not installed. Some functions will not work.\n", + " warnings.warn('GDAL not installed. Some functions will not work.')\n" + ] + } + ], "source": [ "from harmonize_wq import wrangle" ] @@ -91,6 +113,12 @@ "cell_type": "code", "execution_count": 3, "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:07:30.271505Z", + "iopub.status.busy": "2024-08-16T21:07:30.271209Z", + "iopub.status.idle": "2024-08-16T21:07:30.274377Z", + "shell.execute_reply": "2024-08-16T21:07:30.273870Z" + }, "hidden": true }, "outputs": [], @@ -103,7 +131,14 @@ { "cell_type": "code", "execution_count": 4, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:07:30.276527Z", + "iopub.status.busy": "2024-08-16T21:07:30.276175Z", + "iopub.status.idle": "2024-08-16T21:07:31.758921Z", + "shell.execute_reply": "2024-08-16T21:07:31.758309Z" + } + }, "outputs": [ { "data": { @@ -117,7 +152,7 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -138,6 +173,12 @@ "cell_type": "code", "execution_count": 5, "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:07:31.761550Z", + "iopub.status.busy": "2024-08-16T21:07:31.761244Z", + "iopub.status.idle": "2024-08-16T21:07:31.765526Z", + "shell.execute_reply": "2024-08-16T21:07:31.765032Z" + }, "hidden": true }, "outputs": [], @@ -182,7 +223,14 @@ { "cell_type": "code", "execution_count": 6, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:07:31.767862Z", + "iopub.status.busy": "2024-08-16T21:07:31.767519Z", + "iopub.status.idle": "2024-08-16T21:07:31.770161Z", + "shell.execute_reply": "2024-08-16T21:07:31.769639Z" + } + }, "outputs": [], "source": [ "import dataretrieval.wqp as wqp" @@ -192,6 +240,12 @@ "cell_type": "code", "execution_count": 7, "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:07:31.772160Z", + "iopub.status.busy": "2024-08-16T21:07:31.771972Z", + "iopub.status.idle": "2024-08-16T21:07:41.676988Z", + "shell.execute_reply": "2024-08-16T21:07:41.676326Z" + }, "hidden": true }, "outputs": [ @@ -199,7 +253,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\dataretrieval\\wqp.py:83: DtypeWarning: Columns (9,10,13,15,17,19,22,23,28,31,32,33,36,38,58,60,61,62,63,64,65,70,71,73) have mixed types. Specify dtype option on import or set low_memory=False.\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/dataretrieval/wqp.py:83: DtypeWarning: Columns (9,10,13,15,17,19,22,23,28,31,32,33,36,38,58,60,61,63,64,65,70,71,73) have mixed types. Specify dtype option on import or set low_memory=False.\n", " df = pd.read_csv(StringIO(response.text), delimiter=',')\n" ] } @@ -215,6 +269,12 @@ "cell_type": "code", "execution_count": 8, "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:07:41.679814Z", + "iopub.status.busy": "2024-08-16T21:07:41.679410Z", + "iopub.status.idle": "2024-08-16T21:07:42.733546Z", + "shell.execute_reply": "2024-08-16T21:07:42.732929Z" + }, "hidden": true }, "outputs": [ @@ -408,7 +468,7 @@ " ...\n", " \n", " \n", - " 1443525\n", + " 1465643\n", " USGS-FL\n", " USGS Florida Water Science Center\n", " nwisfl.01.95500762\n", @@ -416,7 +476,7 @@ " NaN\n", " NaN\n", " USGS-273926082304501\n", - " NWIS-6842517\n", + " NWIS-6842541\n", " NaN\n", " NaN\n", " ...\n", @@ -432,7 +492,7 @@ " NWIS\n", " \n", " \n", - " 1443526\n", + " 1465644\n", " USGS-FL\n", " USGS Florida Water Science Center\n", " nwisfl.01.95500762\n", @@ -440,7 +500,7 @@ " NaN\n", " NaN\n", " USGS-273926082304501\n", - " NWIS-6842520\n", + " NWIS-6842544\n", " NaN\n", " NaN\n", " ...\n", @@ -456,7 +516,7 @@ " NWIS\n", " \n", " \n", - " 1443527\n", + " 1465645\n", " USGS-FL\n", " USGS Florida Water Science Center\n", " nwisfl.01.95800924\n", @@ -464,7 +524,7 @@ " 14:05:00\n", " EST\n", " USGS-02306001\n", - " NWIS-6894386\n", + " NWIS-6894410\n", " NaN\n", " NaN\n", " ...\n", @@ -480,7 +540,7 @@ " NWIS\n", " \n", " \n", - " 1443528\n", + " 1465646\n", " USGS-FL\n", " USGS Florida Water Science Center\n", " nwisfl.01.95500782\n", @@ -488,7 +548,7 @@ " NaN\n", " NaN\n", " USGS-274455082253601\n", - " NWIS-6842917\n", + " NWIS-6842941\n", " NaN\n", " NaN\n", " ...\n", @@ -504,7 +564,7 @@ " NWIS\n", " \n", " \n", - " 1443529\n", + " 1465647\n", " USGS-FL\n", " USGS Florida Water Science Center\n", " nwisfl.01.95500782\n", @@ -512,7 +572,7 @@ " NaN\n", " NaN\n", " USGS-274455082253601\n", - " NWIS-6842920\n", + " NWIS-6842944\n", " NaN\n", " NaN\n", " ...\n", @@ -529,7 +589,7 @@ " \n", " \n", "\n", - "

1443530 rows × 78 columns

\n", + "

1465648 rows × 78 columns

\n", "" ], "text/plain": [ @@ -540,11 +600,11 @@ "3 21FLHILL_WQX \n", "4 21FLHILL_WQX \n", "... ... \n", - "1443525 USGS-FL \n", - "1443526 USGS-FL \n", - "1443527 USGS-FL \n", - "1443528 USGS-FL \n", - "1443529 USGS-FL \n", + "1465643 USGS-FL \n", + "1465644 USGS-FL \n", + "1465645 USGS-FL \n", + "1465646 USGS-FL \n", + "1465647 USGS-FL \n", "\n", " OrganizationFormalName \\\n", "0 Environmental Protection Commission of Hillsbo... \n", @@ -553,11 +613,11 @@ "3 Environmental Protection Commission of Hillsbo... \n", "4 Environmental Protection Commission of Hillsbo... \n", "... ... \n", - "1443525 USGS Florida Water Science Center \n", - "1443526 USGS Florida Water Science Center \n", - "1443527 USGS Florida Water Science Center \n", - "1443528 USGS Florida Water Science Center \n", - "1443529 USGS Florida Water Science Center \n", + "1465643 USGS Florida Water Science Center \n", + "1465644 USGS Florida Water Science Center \n", + "1465645 USGS Florida Water Science Center \n", + "1465646 USGS Florida Water Science Center \n", + "1465647 USGS Florida Water Science Center \n", "\n", " ActivityIdentifier ActivityStartDate ActivityStartTime/Time \\\n", "0 21FLHILL_WQX-130612585-W 2013-06-12 11:01:00 \n", @@ -566,11 +626,11 @@ "3 21FLHILL_WQX-130716021 2013-07-16 11:01:00 \n", "4 21FLHILL_WQX-131216112-M 2013-12-16 12:01:00 \n", "... ... ... ... \n", - "1443525 nwisfl.01.95500762 1955-04-08 NaN \n", - "1443526 nwisfl.01.95500762 1955-04-08 NaN \n", - "1443527 nwisfl.01.95800924 1957-10-21 14:05:00 \n", - "1443528 nwisfl.01.95500782 1955-04-08 NaN \n", - "1443529 nwisfl.01.95500782 1955-04-08 NaN \n", + "1465643 nwisfl.01.95500762 1955-04-08 NaN \n", + "1465644 nwisfl.01.95500762 1955-04-08 NaN \n", + "1465645 nwisfl.01.95800924 1957-10-21 14:05:00 \n", + "1465646 nwisfl.01.95500782 1955-04-08 NaN \n", + "1465647 nwisfl.01.95500782 1955-04-08 NaN \n", "\n", " ActivityStartTime/TimeZoneCode MonitoringLocationIdentifier \\\n", "0 EST 21FLHILL_WQX-585 \n", @@ -579,11 +639,11 @@ "3 EST 21FLHILL_WQX-021 \n", "4 EST 21FLHILL_WQX-112 \n", "... ... ... \n", - "1443525 NaN USGS-273926082304501 \n", - "1443526 NaN USGS-273926082304501 \n", - "1443527 EST USGS-02306001 \n", - "1443528 NaN USGS-274455082253601 \n", - "1443529 NaN USGS-274455082253601 \n", + "1465643 NaN USGS-273926082304501 \n", + "1465644 NaN USGS-273926082304501 \n", + "1465645 EST USGS-02306001 \n", + "1465646 NaN USGS-274455082253601 \n", + "1465647 NaN USGS-274455082253601 \n", "\n", " ResultIdentifier DataLoggerLine ResultDetectionConditionText ... \\\n", "0 STORET-301235413 NaN NaN ... \n", @@ -592,11 +652,11 @@ "3 STORET-300666279 NaN NaN ... \n", "4 STORET-301229196 NaN NaN ... \n", "... ... ... ... ... \n", - "1443525 NWIS-6842517 NaN NaN ... \n", - "1443526 NWIS-6842520 NaN NaN ... \n", - "1443527 NWIS-6894386 NaN NaN ... \n", - "1443528 NWIS-6842917 NaN NaN ... \n", - "1443529 NWIS-6842920 NaN NaN ... \n", + "1465643 NWIS-6842541 NaN NaN ... \n", + "1465644 NWIS-6842544 NaN NaN ... \n", + "1465645 NWIS-6894410 NaN NaN ... \n", + "1465646 NWIS-6842941 NaN NaN ... \n", + "1465647 NWIS-6842944 NaN NaN ... \n", "\n", " AnalysisEndTime/TimeZoneCode ResultLaboratoryCommentCode \\\n", "0 NaN NaN \n", @@ -605,11 +665,11 @@ "3 NaN NaN \n", "4 NaN NaN \n", "... ... ... \n", - "1443525 NaN NaN \n", - "1443526 NaN NaN \n", - "1443527 NaN NaN \n", - "1443528 NaN NaN \n", - "1443529 NaN NaN \n", + "1465643 NaN NaN \n", + "1465644 NaN NaN \n", + "1465645 NaN NaN \n", + "1465646 NaN NaN \n", + "1465647 NaN NaN \n", "\n", " ResultLaboratoryCommentText \\\n", "0 NaN \n", @@ -618,11 +678,11 @@ "3 NaN \n", "4 NaN \n", "... ... \n", - "1443525 NaN \n", - "1443526 NaN \n", - "1443527 NaN \n", - "1443528 NaN \n", - "1443529 NaN \n", + "1465643 NaN \n", + "1465644 NaN \n", + "1465645 NaN \n", + "1465646 NaN \n", + "1465647 NaN \n", "\n", " ResultDetectionQuantitationLimitUrl \\\n", "0 NaN \n", @@ -631,11 +691,11 @@ "3 https://www.waterqualitydata.us/data/providers... \n", "4 NaN \n", "... ... \n", - "1443525 NaN \n", - "1443526 NaN \n", - "1443527 NaN \n", - "1443528 NaN \n", - "1443529 NaN \n", + "1465643 NaN \n", + "1465644 NaN \n", + "1465645 NaN \n", + "1465646 NaN \n", + "1465647 NaN \n", "\n", " LaboratoryAccreditationIndicator LaboratoryAccreditationAuthorityName \\\n", "0 NaN NaN \n", @@ -644,11 +704,11 @@ "3 NaN NaN \n", "4 NaN NaN \n", "... ... ... \n", - "1443525 NaN NaN \n", - "1443526 NaN NaN \n", - "1443527 NaN NaN \n", - "1443528 NaN NaN \n", - "1443529 NaN NaN \n", + "1465643 NaN NaN \n", + "1465644 NaN NaN \n", + "1465645 NaN NaN \n", + "1465646 NaN NaN \n", + "1465647 NaN NaN \n", "\n", " TaxonomistAccreditationIndicator TaxonomistAccreditationAuthorityName \\\n", "0 NaN NaN \n", @@ -657,11 +717,11 @@ "3 NaN NaN \n", "4 NaN NaN \n", "... ... ... \n", - "1443525 NaN NaN \n", - "1443526 NaN NaN \n", - "1443527 NaN NaN \n", - "1443528 NaN NaN \n", - "1443529 NaN NaN \n", + "1465643 NaN NaN \n", + "1465644 NaN NaN \n", + "1465645 NaN NaN \n", + "1465646 NaN NaN \n", + "1465647 NaN NaN \n", "\n", " LabSamplePreparationUrl ProviderName \n", "0 NaN STORET \n", @@ -670,13 +730,13 @@ "3 NaN STORET \n", "4 NaN STORET \n", "... ... ... \n", - "1443525 NaN NWIS \n", - "1443526 NaN NWIS \n", - "1443527 NaN NWIS \n", - "1443528 NaN NWIS \n", - "1443529 NaN NWIS \n", + "1465643 NaN NWIS \n", + "1465644 NaN NWIS \n", + "1465645 NaN NWIS \n", + "1465646 NaN NWIS \n", + "1465647 NaN NWIS \n", "\n", - "[1443530 rows x 78 columns]" + "[1465648 rows x 78 columns]" ] }, "execution_count": 8, @@ -702,7 +762,14 @@ { "cell_type": "code", "execution_count": 9, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:07:42.735937Z", + "iopub.status.busy": "2024-08-16T21:07:42.735723Z", + "iopub.status.idle": "2024-08-16T21:07:42.739281Z", + "shell.execute_reply": "2024-08-16T21:07:42.738746Z" + } + }, "outputs": [], "source": [ "from harmonize_wq import harmonize\n", @@ -714,6 +781,12 @@ "cell_type": "code", "execution_count": 10, "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:07:42.741476Z", + "iopub.status.busy": "2024-08-16T21:07:42.741150Z", + "iopub.status.idle": "2024-08-16T21:10:48.725156Z", + "shell.execute_reply": "2024-08-16T21:10:48.724520Z" + }, "hidden": true }, "outputs": [ @@ -721,60 +794,58 @@ "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\wq_data.py:329: UserWarning: WARNING: 'None' UNDEFINED UNIT for Secchi\n", - " warn(\"WARNING: \" + problem)\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n", - " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n", - " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n", - " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n", - " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/wq_data.py:395: UserWarning: WARNING: 'None' UNDEFINED UNIT for Secchi\n", + " warn(\"WARNING: \" + problem)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n", " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\harmonize_wq\\harmonize.py:142: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n", + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n", " warn(f\"WARNING: '{unit}' converted to NaN\")\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n", + " warn(f\"WARNING: '{unit}' converted to NaN\")\n" ] }, { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "2 Phosphorus sample fractions not in frac_dict\n", - "2 Phosphorus sample fractions not in frac_dict found in expected domains, mapped to \"Other_Phosphorus\"\n" + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'CFU/100mL' converted to NaN\n", + " warn(f\"WARNING: '{unit}' converted to NaN\")\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'MPN/100mL' converted to NaN\n", + " warn(f\"WARNING: '{unit}' converted to NaN\")\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/harmonize_wq/convert.py:128: UserWarning: WARNING: 'cfu/100mL' converted to NaN\n", + " warn(f\"WARNING: '{unit}' converted to NaN\")\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2 Phosphorus sample fractions not in frac_dict\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2 Phosphorus sample fractions not in frac_dict found in expected domains, mapped to \"Other_Phosphorus\"\n" ] }, { @@ -967,7 +1038,7 @@ " ...\n", " \n", " \n", - " 1443525\n", + " 1465643\n", " USGS-FL\n", " USGS Florida Water Science Center\n", " nwisfl.01.95500762\n", @@ -975,7 +1046,7 @@ " NaN\n", " NaN\n", " USGS-273926082304501\n", - " NWIS-6842517\n", + " NWIS-6842541\n", " NaN\n", " NaN\n", " ...\n", @@ -991,7 +1062,7 @@ " NaN\n", " \n", " \n", - " 1443526\n", + " 1465644\n", " USGS-FL\n", " USGS Florida Water Science Center\n", " nwisfl.01.95500762\n", @@ -999,7 +1070,7 @@ " NaN\n", " NaN\n", " USGS-273926082304501\n", - " NWIS-6842520\n", + " NWIS-6842544\n", " NaN\n", " NaN\n", " ...\n", @@ -1015,7 +1086,7 @@ " 7.8 dimensionless\n", " \n", " \n", - " 1443527\n", + " 1465645\n", " USGS-FL\n", " USGS Florida Water Science Center\n", " nwisfl.01.95800924\n", @@ -1023,7 +1094,7 @@ " 14:05:00\n", " EST\n", " USGS-02306001\n", - " NWIS-6894386\n", + " NWIS-6894410\n", " NaN\n", " NaN\n", " ...\n", @@ -1039,7 +1110,7 @@ " 7.7 dimensionless\n", " \n", " \n", - " 1443528\n", + " 1465646\n", " USGS-FL\n", " USGS Florida Water Science Center\n", " nwisfl.01.95500782\n", @@ -1047,7 +1118,7 @@ " NaN\n", " NaN\n", " USGS-274455082253601\n", - " NWIS-6842917\n", + " NWIS-6842941\n", " NaN\n", " NaN\n", " ...\n", @@ -1063,7 +1134,7 @@ " NaN\n", " \n", " \n", - " 1443529\n", + " 1465647\n", " USGS-FL\n", " USGS Florida Water Science Center\n", " nwisfl.01.95500782\n", @@ -1071,7 +1142,7 @@ " NaN\n", " NaN\n", " USGS-274455082253601\n", - " NWIS-6842920\n", + " NWIS-6842944\n", " NaN\n", " NaN\n", " ...\n", @@ -1088,7 +1159,7 @@ " \n", " \n", "\n", - "

1443530 rows × 97 columns

\n", + "

1465648 rows × 97 columns

\n", "" ], "text/plain": [ @@ -1099,11 +1170,11 @@ "3 21FLHILL_WQX \n", "4 21FLHILL_WQX \n", "... ... \n", - "1443525 USGS-FL \n", - "1443526 USGS-FL \n", - "1443527 USGS-FL \n", - "1443528 USGS-FL \n", - "1443529 USGS-FL \n", + "1465643 USGS-FL \n", + "1465644 USGS-FL \n", + "1465645 USGS-FL \n", + "1465646 USGS-FL \n", + "1465647 USGS-FL \n", "\n", " OrganizationFormalName \\\n", "0 Environmental Protection Commission of Hillsbo... \n", @@ -1112,11 +1183,11 @@ "3 Environmental Protection Commission of Hillsbo... \n", "4 Environmental Protection Commission of Hillsbo... \n", "... ... \n", - "1443525 USGS Florida Water Science Center \n", - "1443526 USGS Florida Water Science Center \n", - "1443527 USGS Florida Water Science Center \n", - "1443528 USGS Florida Water Science Center \n", - "1443529 USGS Florida Water Science Center \n", + "1465643 USGS Florida Water Science Center \n", + "1465644 USGS Florida Water Science Center \n", + "1465645 USGS Florida Water Science Center \n", + "1465646 USGS Florida Water Science Center \n", + "1465647 USGS Florida Water Science Center \n", "\n", " ActivityIdentifier ActivityStartDate ActivityStartTime/Time \\\n", "0 21FLHILL_WQX-130612585-W 2013-06-12 11:01:00 \n", @@ -1125,11 +1196,11 @@ "3 21FLHILL_WQX-130716021 2013-07-16 11:01:00 \n", "4 21FLHILL_WQX-131216112-M 2013-12-16 12:01:00 \n", "... ... ... ... \n", - "1443525 nwisfl.01.95500762 1955-04-08 NaN \n", - "1443526 nwisfl.01.95500762 1955-04-08 NaN \n", - "1443527 nwisfl.01.95800924 1957-10-21 14:05:00 \n", - "1443528 nwisfl.01.95500782 1955-04-08 NaN \n", - "1443529 nwisfl.01.95500782 1955-04-08 NaN \n", + "1465643 nwisfl.01.95500762 1955-04-08 NaN \n", + "1465644 nwisfl.01.95500762 1955-04-08 NaN \n", + "1465645 nwisfl.01.95800924 1957-10-21 14:05:00 \n", + "1465646 nwisfl.01.95500782 1955-04-08 NaN \n", + "1465647 nwisfl.01.95500782 1955-04-08 NaN \n", "\n", " ActivityStartTime/TimeZoneCode MonitoringLocationIdentifier \\\n", "0 EST 21FLHILL_WQX-585 \n", @@ -1138,11 +1209,11 @@ "3 EST 21FLHILL_WQX-021 \n", "4 EST 21FLHILL_WQX-112 \n", "... ... ... \n", - "1443525 NaN USGS-273926082304501 \n", - "1443526 NaN USGS-273926082304501 \n", - "1443527 EST USGS-02306001 \n", - "1443528 NaN USGS-274455082253601 \n", - "1443529 NaN USGS-274455082253601 \n", + "1465643 NaN USGS-273926082304501 \n", + "1465644 NaN USGS-273926082304501 \n", + "1465645 EST USGS-02306001 \n", + "1465646 NaN USGS-274455082253601 \n", + "1465647 NaN USGS-274455082253601 \n", "\n", " ResultIdentifier DataLoggerLine ResultDetectionConditionText ... \\\n", "0 STORET-301235413 NaN NaN ... \n", @@ -1151,11 +1222,11 @@ "3 STORET-300666279 NaN NaN ... \n", "4 STORET-301229196 NaN NaN ... \n", "... ... ... ... ... \n", - "1443525 NWIS-6842517 NaN NaN ... \n", - "1443526 NWIS-6842520 NaN NaN ... \n", - "1443527 NWIS-6894386 NaN NaN ... \n", - "1443528 NWIS-6842917 NaN NaN ... \n", - "1443529 NWIS-6842920 NaN NaN ... \n", + "1465643 NWIS-6842541 NaN NaN ... \n", + "1465644 NWIS-6842544 NaN NaN ... \n", + "1465645 NWIS-6894410 NaN NaN ... \n", + "1465646 NWIS-6842941 NaN NaN ... \n", + "1465647 NWIS-6842944 NaN NaN ... \n", "\n", " TOTAL NITROGEN_ MIXED FORMS Carbon Phosphorus \\\n", "0 NaN NaN NaN \n", @@ -1164,11 +1235,11 @@ "3 NaN 3.8 milligram / liter NaN \n", "4 NaN NaN NaN \n", "... ... ... ... \n", - "1443525 NaN NaN NaN \n", - "1443526 NaN NaN NaN \n", - "1443527 NaN NaN NaN \n", - "1443528 NaN NaN NaN \n", - "1443529 NaN NaN NaN \n", + "1465643 NaN NaN NaN \n", + "1465644 NaN NaN NaN \n", + "1465645 NaN NaN NaN \n", + "1465646 NaN NaN NaN \n", + "1465647 NaN NaN NaN \n", "\n", " TP_Phosphorus TDP_Phosphorus Other_Phosphorus \\\n", "0 NaN NaN NaN \n", @@ -1177,11 +1248,11 @@ "3 NaN NaN NaN \n", "4 NaN NaN NaN \n", "... ... ... ... \n", - "1443525 NaN NaN NaN \n", - "1443526 NaN NaN NaN \n", - "1443527 NaN NaN NaN \n", - "1443528 NaN NaN NaN \n", - "1443529 NaN NaN NaN \n", + "1465643 NaN NaN NaN \n", + "1465644 NaN NaN NaN \n", + "1465645 NaN NaN NaN \n", + "1465646 NaN NaN NaN \n", + "1465647 NaN NaN NaN \n", "\n", " Salinity Temperature Turbidity \\\n", "0 NaN NaN NaN \n", @@ -1190,11 +1261,11 @@ "3 NaN NaN NaN \n", "4 NaN NaN NaN \n", "... ... ... ... \n", - "1443525 NaN 25.7 degree_Celsius NaN \n", - "1443526 NaN NaN NaN \n", - "1443527 NaN NaN NaN \n", - "1443528 NaN 26.1 degree_Celsius NaN \n", - "1443529 NaN NaN NaN \n", + "1465643 NaN 25.7 degree_Celsius NaN \n", + "1465644 NaN NaN NaN \n", + "1465645 NaN NaN NaN \n", + "1465646 NaN 26.1 degree_Celsius NaN \n", + "1465647 NaN NaN NaN \n", "\n", " pH \n", "0 NaN \n", @@ -1203,13 +1274,13 @@ "3 NaN \n", "4 7.48 dimensionless \n", "... ... \n", - "1443525 NaN \n", - "1443526 7.8 dimensionless \n", - "1443527 7.7 dimensionless \n", - "1443528 NaN \n", - "1443529 7.6 dimensionless \n", + "1465643 NaN \n", + "1465644 7.8 dimensionless \n", + "1465645 7.7 dimensionless \n", + "1465646 NaN \n", + "1465647 7.6 dimensionless \n", "\n", - "[1443530 rows x 97 columns]" + "[1465648 rows x 97 columns]" ] }, "execution_count": 10, @@ -1229,6 +1300,12 @@ "cell_type": "code", "execution_count": 11, "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:10:48.727769Z", + "iopub.status.busy": "2024-08-16T21:10:48.727332Z", + "iopub.status.idle": "2024-08-16T21:10:49.367355Z", + "shell.execute_reply": "2024-08-16T21:10:49.366722Z" + }, "hidden": true }, "outputs": [], @@ -1241,6 +1318,12 @@ "cell_type": "code", "execution_count": 12, "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:10:49.369799Z", + "iopub.status.busy": "2024-08-16T21:10:49.369574Z", + "iopub.status.idle": "2024-08-16T21:10:50.734720Z", + "shell.execute_reply": "2024-08-16T21:10:50.734100Z" + }, "hidden": true }, "outputs": [ @@ -1256,7 +1339,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -1276,6 +1359,12 @@ "cell_type": "code", "execution_count": 13, "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:10:50.737361Z", + "iopub.status.busy": "2024-08-16T21:10:50.736822Z", + "iopub.status.idle": "2024-08-16T21:10:54.194287Z", + "shell.execute_reply": "2024-08-16T21:10:54.193665Z" + }, "hidden": true }, "outputs": [ @@ -1291,7 +1380,7 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -1318,7 +1407,14 @@ { "cell_type": "code", "execution_count": 14, - "metadata": {}, + "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:10:54.196648Z", + "iopub.status.busy": "2024-08-16T21:10:54.196455Z", + "iopub.status.idle": "2024-08-16T21:10:54.199071Z", + "shell.execute_reply": "2024-08-16T21:10:54.198551Z" + } + }, "outputs": [], "source": [ "from harmonize_wq import clean" @@ -1328,6 +1424,12 @@ "cell_type": "code", "execution_count": 15, "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:10:54.201112Z", + "iopub.status.busy": "2024-08-16T21:10:54.200931Z", + "iopub.status.idle": "2024-08-16T21:11:07.751714Z", + "shell.execute_reply": "2024-08-16T21:11:07.751055Z" + }, "hidden": true }, "outputs": [ @@ -1335,10 +1437,8 @@ "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\dataretrieval\\utils.py:87: UserWarning: Warning: 100662 incomplete dates found, consider setting datetime_index to False.\n", - " warnings.warn(\n", - "C:\\Users\\jbousqui\\Local_GIS\\Python\\v_envs\\jupyter-harmonize-39\\lib\\site-packages\\pandas\\core\\dtypes\\cast.py:1784: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.\n", - " result[:] = values\n" + "/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/site-packages/dataretrieval/utils.py:87: UserWarning: Warning: 100662 incomplete dates found, consider setting datetime_index to False.\n", + " warnings.warn(\n" ] } ], @@ -1369,6 +1469,12 @@ "cell_type": "code", "execution_count": 16, "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:11:07.754770Z", + "iopub.status.busy": "2024-08-16T21:11:07.754310Z", + "iopub.status.idle": "2024-08-16T21:11:27.668117Z", + "shell.execute_reply": "2024-08-16T21:11:27.667526Z" + }, "hidden": true }, "outputs": [ @@ -1404,16 +1510,16 @@ " DataLoggerLine\n", " ResultDetectionConditionText\n", " ...\n", - " QA_Carbon\n", " QA_Fecal_Coliform\n", - " QA_Nitrogen\n", - " QA_Salinity\n", - " QA_pH\n", " QA_DO\n", - " QA_Temperature\n", - " QA_Secchi\n", " QA_E_coli\n", + " QA_Conductivity\n", + " QA_Nitrogen\n", + " QA_TP_Phosphorus\n", + " QA_TDP_Phosphorus\n", + " QA_Other_Phosphorus\n", " QA_Turbidity\n", + " QA_Secchi\n", " \n", " \n", " \n", @@ -1562,7 +1668,7 @@ " ...\n", " \n", " \n", - " 1443525\n", + " 1465643\n", " USGS-FL\n", " USGS Florida Water Science Center\n", " nwisfl.01.95500762\n", @@ -1570,7 +1676,7 @@ " NaN\n", " NaN\n", " USGS-273926082304501\n", - " NWIS-6842517\n", + " NWIS-6842541\n", " NaN\n", " NaN\n", " ...\n", @@ -1586,7 +1692,7 @@ " NaN\n", " \n", " \n", - " 1443526\n", + " 1465644\n", " USGS-FL\n", " USGS Florida Water Science Center\n", " nwisfl.01.95500762\n", @@ -1594,7 +1700,7 @@ " NaN\n", " NaN\n", " USGS-273926082304501\n", - " NWIS-6842520\n", + " NWIS-6842544\n", " NaN\n", " NaN\n", " ...\n", @@ -1610,7 +1716,7 @@ " NaN\n", " \n", " \n", - " 1443527\n", + " 1465645\n", " USGS-FL\n", " USGS Florida Water Science Center\n", " nwisfl.01.95800924\n", @@ -1618,7 +1724,7 @@ " 14:05:00\n", " -0500\n", " USGS-02306001\n", - " NWIS-6894386\n", + " NWIS-6894410\n", " NaN\n", " NaN\n", " ...\n", @@ -1634,7 +1740,7 @@ " NaN\n", " \n", " \n", - " 1443528\n", + " 1465646\n", " USGS-FL\n", " USGS Florida Water Science Center\n", " nwisfl.01.95500782\n", @@ -1642,7 +1748,7 @@ " NaN\n", " NaN\n", " USGS-274455082253601\n", - " NWIS-6842917\n", + " NWIS-6842941\n", " NaN\n", " NaN\n", " ...\n", @@ -1658,7 +1764,7 @@ " NaN\n", " \n", " \n", - " 1443529\n", + " 1465647\n", " USGS-FL\n", " USGS Florida Water Science Center\n", " nwisfl.01.95500782\n", @@ -1666,7 +1772,7 @@ " NaN\n", " NaN\n", " USGS-274455082253601\n", - " NWIS-6842920\n", + " NWIS-6842944\n", " NaN\n", " NaN\n", " ...\n", @@ -1683,7 +1789,7 @@ " \n", " \n", "\n", - "

1375986 rows × 113 columns

\n", + "

1396992 rows × 113 columns

\n", "" ], "text/plain": [ @@ -1694,11 +1800,11 @@ "3 21FLHILL_WQX \n", "4 21FLHILL_WQX \n", "... ... \n", - "1443525 USGS-FL \n", - "1443526 USGS-FL \n", - "1443527 USGS-FL \n", - "1443528 USGS-FL \n", - "1443529 USGS-FL \n", + "1465643 USGS-FL \n", + "1465644 USGS-FL \n", + "1465645 USGS-FL \n", + "1465646 USGS-FL \n", + "1465647 USGS-FL \n", "\n", " OrganizationFormalName \\\n", "0 Environmental Protection Commission of Hillsbo... \n", @@ -1707,11 +1813,11 @@ "3 Environmental Protection Commission of Hillsbo... \n", "4 Environmental Protection Commission of Hillsbo... \n", "... ... \n", - "1443525 USGS Florida Water Science Center \n", - "1443526 USGS Florida Water Science Center \n", - "1443527 USGS Florida Water Science Center \n", - "1443528 USGS Florida Water Science Center \n", - "1443529 USGS Florida Water Science Center \n", + "1465643 USGS Florida Water Science Center \n", + "1465644 USGS Florida Water Science Center \n", + "1465645 USGS Florida Water Science Center \n", + "1465646 USGS Florida Water Science Center \n", + "1465647 USGS Florida Water Science Center \n", "\n", " ActivityIdentifier ActivityStartDate ActivityStartTime/Time \\\n", "0 21FLHILL_WQX-130612585-W 2013-06-12 11:01:00 \n", @@ -1720,11 +1826,11 @@ "3 21FLHILL_WQX-130716021 2013-07-16 11:01:00 \n", "4 21FLHILL_WQX-131216112-M 2013-12-16 12:01:00 \n", "... ... ... ... \n", - "1443525 nwisfl.01.95500762 1955-04-08 NaN \n", - "1443526 nwisfl.01.95500762 1955-04-08 NaN \n", - "1443527 nwisfl.01.95800924 1957-10-21 14:05:00 \n", - "1443528 nwisfl.01.95500782 1955-04-08 NaN \n", - "1443529 nwisfl.01.95500782 1955-04-08 NaN \n", + "1465643 nwisfl.01.95500762 1955-04-08 NaN \n", + "1465644 nwisfl.01.95500762 1955-04-08 NaN \n", + "1465645 nwisfl.01.95800924 1957-10-21 14:05:00 \n", + "1465646 nwisfl.01.95500782 1955-04-08 NaN \n", + "1465647 nwisfl.01.95500782 1955-04-08 NaN \n", "\n", " ActivityStartTime/TimeZoneCode MonitoringLocationIdentifier \\\n", "0 -0500 21FLHILL_WQX-585 \n", @@ -1733,11 +1839,11 @@ "3 -0500 21FLHILL_WQX-021 \n", "4 -0500 21FLHILL_WQX-112 \n", "... ... ... \n", - "1443525 NaN USGS-273926082304501 \n", - "1443526 NaN USGS-273926082304501 \n", - "1443527 -0500 USGS-02306001 \n", - "1443528 NaN USGS-274455082253601 \n", - "1443529 NaN USGS-274455082253601 \n", + "1465643 NaN USGS-273926082304501 \n", + "1465644 NaN USGS-273926082304501 \n", + "1465645 -0500 USGS-02306001 \n", + "1465646 NaN USGS-274455082253601 \n", + "1465647 NaN USGS-274455082253601 \n", "\n", " ResultIdentifier DataLoggerLine ResultDetectionConditionText ... \\\n", "0 STORET-301235413 NaN NaN ... \n", @@ -1746,39 +1852,52 @@ "3 STORET-300666279 NaN NaN ... \n", "4 STORET-301229196 NaN NaN ... \n", "... ... ... ... ... \n", - "1443525 NWIS-6842517 NaN NaN ... \n", - "1443526 NWIS-6842520 NaN NaN ... \n", - "1443527 NWIS-6894386 NaN NaN ... \n", - "1443528 NWIS-6842917 NaN NaN ... \n", - "1443529 NWIS-6842920 NaN NaN ... \n", + "1465643 NWIS-6842541 NaN NaN ... \n", + "1465644 NWIS-6842544 NaN NaN ... \n", + "1465645 NWIS-6894410 NaN NaN ... \n", + "1465646 NWIS-6842941 NaN NaN ... \n", + "1465647 NWIS-6842944 NaN NaN ... \n", + "\n", + " QA_Fecal_Coliform QA_DO QA_E_coli QA_Conductivity QA_Nitrogen \\\n", + "0 NaN NaN NaN NaN NaN \n", + "1 NaN NaN NaN NaN NaN \n", + "2 NaN NaN NaN NaN NaN \n", + "3 NaN NaN NaN NaN NaN \n", + "4 NaN NaN NaN NaN NaN \n", + "... ... ... ... ... ... \n", + "1465643 NaN NaN NaN NaN NaN \n", + "1465644 NaN NaN NaN NaN NaN \n", + "1465645 NaN NaN NaN NaN NaN \n", + "1465646 NaN NaN NaN NaN NaN \n", + "1465647 NaN NaN NaN NaN NaN \n", "\n", - " QA_Carbon QA_Fecal_Coliform QA_Nitrogen QA_Salinity QA_pH QA_DO \\\n", - "0 NaN NaN NaN NaN NaN NaN \n", - "1 NaN NaN NaN NaN NaN NaN \n", - "2 NaN NaN NaN NaN NaN NaN \n", - "3 NaN NaN NaN NaN NaN NaN \n", - "4 NaN NaN NaN NaN NaN NaN \n", - "... ... ... ... ... ... ... \n", - "1443525 NaN NaN NaN NaN NaN NaN \n", - "1443526 NaN NaN NaN NaN NaN NaN \n", - "1443527 NaN NaN NaN NaN NaN NaN \n", - "1443528 NaN NaN NaN NaN NaN NaN \n", - "1443529 NaN NaN NaN NaN NaN NaN \n", + " QA_TP_Phosphorus QA_TDP_Phosphorus QA_Other_Phosphorus QA_Turbidity \\\n", + "0 NaN NaN NaN NaN \n", + "1 NaN NaN NaN NaN \n", + "2 NaN NaN NaN NaN \n", + "3 NaN NaN NaN NaN \n", + "4 NaN NaN NaN NaN \n", + "... ... ... ... ... \n", + "1465643 NaN NaN NaN NaN \n", + "1465644 NaN NaN NaN NaN \n", + "1465645 NaN NaN NaN NaN \n", + "1465646 NaN NaN NaN NaN \n", + "1465647 NaN NaN NaN NaN \n", "\n", - " QA_Temperature QA_Secchi QA_E_coli QA_Turbidity \n", - "0 NaN NaN NaN NaN \n", - "1 NaN NaN NaN NaN \n", - "2 NaN NaN NaN NaN \n", - "3 NaN NaN NaN NaN \n", - "4 NaN NaN NaN NaN \n", - "... ... ... ... ... \n", - "1443525 NaN NaN NaN NaN \n", - "1443526 NaN NaN NaN NaN \n", - "1443527 NaN NaN NaN NaN \n", - "1443528 NaN NaN NaN NaN \n", - "1443529 NaN NaN NaN NaN \n", + " QA_Secchi \n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "1465643 NaN \n", + "1465644 NaN \n", + "1465645 NaN \n", + "1465646 NaN \n", + "1465647 NaN \n", "\n", - "[1375986 rows x 113 columns]" + "[1396992 rows x 113 columns]" ] }, "execution_count": 16, @@ -1796,6 +1915,12 @@ "cell_type": "code", "execution_count": 17, "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:11:27.670841Z", + "iopub.status.busy": "2024-08-16T21:11:27.670367Z", + "iopub.status.idle": "2024-08-16T21:11:31.068338Z", + "shell.execute_reply": "2024-08-16T21:11:31.067755Z" + }, "hidden": true }, "outputs": [], @@ -1808,6 +1933,12 @@ "cell_type": "code", "execution_count": 18, "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:11:31.070987Z", + "iopub.status.busy": "2024-08-16T21:11:31.070607Z", + "iopub.status.idle": "2024-08-16T21:11:37.719886Z", + "shell.execute_reply": "2024-08-16T21:11:37.719222Z" + }, "hidden": true }, "outputs": [], @@ -1829,6 +1960,12 @@ "cell_type": "code", "execution_count": 19, "metadata": { + "execution": { + "iopub.execute_input": "2024-08-16T21:11:37.722629Z", + "iopub.status.busy": "2024-08-16T21:11:37.722443Z", + "iopub.status.idle": "2024-08-16T21:13:02.457737Z", + "shell.execute_reply": "2024-08-16T21:13:02.457053Z" + }, "hidden": true }, "outputs": [], @@ -1866,7 +2003,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.18" + "version": "3.12.4" } }, "nbformat": 4,