diff --git a/analyses/atlas-open-data-hzz/HZZ_analysis_pipeline.ipynb b/analyses/atlas-open-data-hzz/HZZ_analysis_pipeline.ipynb
index e04e4bfd..a590166c 100644
--- a/analyses/atlas-open-data-hzz/HZZ_analysis_pipeline.ipynb
+++ b/analyses/atlas-open-data-hzz/HZZ_analysis_pipeline.ipynb
@@ -20,20 +20,19 @@
"\n",
"import awkward as ak\n",
"import cabinetry\n",
- "from func_adl import ObjectStream\n",
- "from func_adl_servicex import ServiceXSourceUpROOT\n",
"import hist\n",
"import mplhep\n",
"import numpy as np\n",
"import pyhf\n",
"import uproot\n",
- "from servicex import ServiceXDataset\n",
"\n",
"from coffea import processor\n",
"from coffea.nanoevents.schemas.base import BaseSchema\n",
"import utils\n",
"from utils import infofile # contains cross-section information\n",
"\n",
+ "import servicex\n",
+ "\n",
"import vector\n",
"vector.register_awkward()\n",
"\n",
@@ -57,7 +56,10 @@
"NUM_CORES = 4\n",
"\n",
"# ServiceX behavior: ignore cache with repeated queries\n",
- "IGNORE_CACHE = False"
+ "IGNORE_CACHE = False\n",
+ "\n",
+ "# ServiceX behavior: choose query language\n",
+ "USE_SERVICEX_UPROOT_RAW = True"
]
},
{
@@ -195,12 +197,14 @@
"metadata": {},
"outputs": [],
"source": [
- "def get_lepton_query(source: ObjectStream) -> ObjectStream:\n",
- " \"\"\"Performs event selection: require events with exactly four leptons.\n",
+ "def get_lepton_query():\n",
+ " \"\"\"Performs event selection with func_adl transformer: require events with exactly four leptons.\n",
" Also select all columns needed further downstream for processing &\n",
" histogram filling.\n",
" \"\"\"\n",
- " return source.Where(lambda event: event.lep_n == 4).Select(\n",
+ " from servicex import query as q\n",
+ " return q.FuncADL_Uproot().FromTree('mini')\\\n",
+ " .Where(lambda event: event.lep_n == 4).Select(\n",
" lambda e: {\n",
" \"lep_pt\": e.lep_pt,\n",
" \"lep_eta\": e.lep_eta,\n",
@@ -225,7 +229,22 @@
" * e.scaleFactor_PILEUP\n",
" * 0.9,\n",
" }\n",
- " )"
+ " )\n",
+ "\n",
+ "def get_lepton_query_uproot_raw():\n",
+ " \"\"\"Performs event selection with uproot-raw transformer: require events with exactly four leptons.\n",
+ " Also select all columns needed further downstream for processing &\n",
+ " histogram filling.\n",
+ " \"\"\"\n",
+ " from servicex import query as q\n",
+ " return q.UprootRaw([{'treename': 'mini',\n",
+ " 'expressions': ['lep_pt', 'lep_eta', 'lep_phi', 'lep_energy', 'lep_charge', \n",
+ " 'lep_typeid', 'mcWeight', 'scaleFactor', 'scaleFactorUP', 'scaleFactorDOWN'],\n",
+ " 'aliases': { 'lep_typeid': 'lep_type', 'lep_energy': 'lep_E',\n",
+ " 'scaleFactor': 'scaleFactor_ELE*scaleFactor_MUON*scaleFactor_LepTRIGGER*scaleFactor_PILEUP',\n",
+ " 'scaleFactorUP': 'scaleFactor*1.1',\n",
+ " 'scaleFactorDOWN': 'scaleFactor*0.9' }\n",
+ " }])"
]
},
{
@@ -249,40 +268,12 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "",
- "version_major": 2,
- "version_minor": 0
- },
- "text/plain": [
- "[http://xrootd-local...: 0%| | 0/9000000000.0 [00:00]"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "application/vnd.jupyter.widget-view+json": {
- "model_id": "",
- "version_major": 2,
- "version_minor": 0
- },
- "text/plain": [
- "[http://xrootd-local...: 0%| | 0/9000000000.0 [00:00]"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "application/vnd.jupyter.widget-view+json": {
- "model_id": "",
+ "model_id": "a4a34992a21d48e29d906ce21d54e376",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
- "[http://xrootd-local...: 0%| | 0/9000000000.0 [00:00]"
+ "Output()"
]
},
"metadata": {},
@@ -290,14 +281,10 @@
},
{
"data": {
- "application/vnd.jupyter.widget-view+json": {
- "model_id": "",
- "version_major": 2,
- "version_minor": 0
- },
- "text/plain": [
- "[http://xrootd-local...: 0%| | 0/9000000000.0 [00:00]"
- ]
+ "text/html": [
+ "
\n"
+ ],
+ "text/plain": []
},
"metadata": {},
"output_type": "display_data"
@@ -306,21 +293,16 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "execution took 141.86 seconds\n"
+ "execution took 31.85 seconds\n"
]
}
],
"source": [
- "# dummy dataset on which to generate the query\n",
- "dummy_ds = ServiceXSourceUpROOT(\"cernopendata://dummy\", \"mini\", backend_name=\"uproot\")\n",
- "\n",
- "# tell low-level infrastructure not to contact ServiceX yet, only to\n",
- "# return the qastle string it would have sent\n",
- "dummy_ds.return_qastle = True\n",
- "\n",
"# create the query\n",
- "lepton_query = get_lepton_query(dummy_ds)\n",
- "query = lepton_query.value()\n",
+ "if USE_SERVICEX_UPROOT_RAW:\n",
+ " query = get_lepton_query_uproot_raw()\n",
+ "else:\n",
+ " query = get_lepton_query()\n",
"\n",
"# now we query the files and create a fileset dictionary containing the\n",
"# URLs pointing to the queried files\n",
@@ -329,13 +311,15 @@
"\n",
"fileset = {}\n",
"\n",
- "for ds_name in input_files.keys():\n",
- " ds = ServiceXDataset(input_files[ds_name], backend_name=\"uproot\", ignore_cache=IGNORE_CACHE)\n",
- " files = ds.get_data_rootfiles_uri(query, as_signed_url=True, title=ds_name)\n",
+ "bundle = { 'General': { 'Delivery': 'URLs' },\n",
+ " 'Sample': [ { 'Name': ds_name,\n",
+ " 'Query': query,\n",
+ " 'Dataset': servicex.dataset.FileList(input_files[ds_name]),\n",
+ " 'IgnoreLocalCache': IGNORE_CACHE } for ds_name in input_files.keys() ]\n",
+ " }\n",
"\n",
- " fileset[ds_name] = {\"files\": [f.url for f in files],\n",
- " \"metadata\": {\"dataset_name\": ds_name}\n",
- " }\n",
+ "results = servicex.deliver(bundle)\n",
+ "fileset = { _: {\"files\": results[_], \"metadata\": {\"dataset_name\": _}} for _ in results }\n",
"\n",
"print(f\"execution took {time.time() - t0:.2f} seconds\")"
]
@@ -357,21 +341,13 @@
{
"data": {
"text/plain": [
- "{'Data': {'files': ['https://int-uproot-minio.servicex.ssl-hep.org/b32a6833-98cf-469c-aac5-b8e47493afd2/http%3A%3A%3Axrootd-local.unl.edu%3A1094%3A%3Astore%3Auser%3AAGC%3AATLAS_HZZ%3Adata_A.4lep.root?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=miniouser%2F20230203%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20230203T185713Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=c4078f3367ea26ae29bcc8e7f50ff4abf0ac9c6923a8453ee5417db6374077a8',\n",
- " 'https://int-uproot-minio.servicex.ssl-hep.org/b32a6833-98cf-469c-aac5-b8e47493afd2/http%3A%3A%3Axrootd-local.unl.edu%3A1094%3A%3Astore%3Auser%3AAGC%3AATLAS_HZZ%3Adata_B.4lep.root?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=miniouser%2F20230203%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20230203T185718Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=ed19ce234b60d7cad906a35c0361cb6cf047a1aef05c8a35cd11becabccfd975',\n",
- " 'https://int-uproot-minio.servicex.ssl-hep.org/b32a6833-98cf-469c-aac5-b8e47493afd2/http%3A%3A%3Axrootd-local.unl.edu%3A1094%3A%3Astore%3Auser%3AAGC%3AATLAS_HZZ%3Adata_C.4lep.root?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=miniouser%2F20230203%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20230203T185718Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=6f33c94eae45d0f2ff7a65b1062c9482471acf26df6ff56330082c6486303861',\n",
- " 'https://int-uproot-minio.servicex.ssl-hep.org/b32a6833-98cf-469c-aac5-b8e47493afd2/http%3A%3A%3Axrootd-local.unl.edu%3A1094%3A%3Astore%3Auser%3AAGC%3AATLAS_HZZ%3Adata_D.4lep.root?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=miniouser%2F20230203%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20230203T185729Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=4aea64638989f396b19249f95091934aa04f531a336afd443b96a9dc6e9e4019'],\n",
+ "{'Data': {'files': ['http://s3v2.af.uchicago.edu:32095/2aaf4d87-f4a4-43e1-87d5-18ceb084a73e/root%3A%3A%3Axcache.af.uchicago.edu%3A%3Ahttp%3A%3A%3Axrootd-local.unl.edu%3A1094%3A%3Astore%3Auser%3AAGC%3AATLAS_HZZ%3Adata_A.4lep.root?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ABAOJZ4XMLKWO5H0PZJ3%2F20241003%2Faf-object-store%2Fs3%2Faws4_request&X-Amz-Date=20241003T063422Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=5563bf77a381e1d7d76ad67c65807d1eb0e9793e37edd8389fdea23b3c490da5', 'http://s3v2.af.uchicago.edu:32095/2aaf4d87-f4a4-43e1-87d5-18ceb084a73e/root%3A%3A%3Axcache.af.uchicago.edu%3A%3Ahttp%3A%3A%3Axrootd-local.unl.edu%3A1094%3A%3Astore%3Auser%3AAGC%3AATLAS_HZZ%3Adata_B.4lep.root?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ABAOJZ4XMLKWO5H0PZJ3%2F20241003%2Faf-object-store%2Fs3%2Faws4_request&X-Amz-Date=20241003T063427Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=55df5b734512deb29b4dcaa8715baf9fdbee4d6dbe9140abb9803c66a26afbe4', 'http://s3v2.af.uchicago.edu:32095/2aaf4d87-f4a4-43e1-87d5-18ceb084a73e/root%3A%3A%3Axcache.af.uchicago.edu%3A%3Ahttp%3A%3A%3Axrootd-local.unl.edu%3A1094%3A%3Astore%3Auser%3AAGC%3AATLAS_HZZ%3Adata_C.4lep.root?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ABAOJZ4XMLKWO5H0PZJ3%2F20241003%2Faf-object-store%2Fs3%2Faws4_request&X-Amz-Date=20241003T063427Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=3efbd4716e4311d3bdc6bb75d8d5f12e5fff835018caf5221c89cc9e5975157b', 'http://s3v2.af.uchicago.edu:32095/2aaf4d87-f4a4-43e1-87d5-18ceb084a73e/root%3A%3A%3Axcache.af.uchicago.edu%3A%3Ahttp%3A%3A%3Axrootd-local.unl.edu%3A1094%3A%3Astore%3Auser%3AAGC%3AATLAS_HZZ%3Adata_D.4lep.root?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ABAOJZ4XMLKWO5H0PZJ3%2F20241003%2Faf-object-store%2Fs3%2Faws4_request&X-Amz-Date=20241003T063427Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=169efaa840d75a6b04b1140c77e61a8b044373ce4abcdb4a1d6233b8942cf84a'],\n",
" 'metadata': {'dataset_name': 'Data'}},\n",
- " 'Background $Z,t\\\\bar{t}$': {'files': ['https://int-uproot-minio.servicex.ssl-hep.org/0a8c5969-1e34-4767-810e-5ac9b49bcc02/http%3A%3A%3Axrootd-local.unl.edu%3A1094%3A%3Astore%3Auser%3AAGC%3AATLAS_HZZ%3Amc_410000.ttbar_lep.4lep.root?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=miniouser%2F20230203%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20230203T185746Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=2c97108bf2657adce6f887edaa1fe9382e77a559b64780b2e01ffdf780886eca',\n",
- " 'https://int-uproot-minio.servicex.ssl-hep.org/0a8c5969-1e34-4767-810e-5ac9b49bcc02/http%3A%3A%3Axrootd-local.unl.edu%3A1094%3A%3Astore%3Auser%3AAGC%3AATLAS_HZZ%3Amc_361107.Zmumu.4lep.root?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=miniouser%2F20230203%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20230203T185812Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=b10e474ec2bac09d40caf653940ea9c10fd2e5aac9508e23ae8158b465a5c6a3',\n",
- " 'https://int-uproot-minio.servicex.ssl-hep.org/0a8c5969-1e34-4767-810e-5ac9b49bcc02/http%3A%3A%3Axrootd-local.unl.edu%3A1094%3A%3Astore%3Auser%3AAGC%3AATLAS_HZZ%3Amc_361106.Zee.4lep.root?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=miniouser%2F20230203%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20230203T185822Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=085fed0d057d509b0b7831ce67888fe96b3fd3fba5ebda12b37b8695678e3253'],\n",
+ " 'Background $Z,t\\\\bar{t}$': {'files': ['http://s3v2.af.uchicago.edu:32095/69ec4b48-f001-4d63-9bac-2c4e1c560728/root%3A%3A%3Axcache.af.uchicago.edu%3A%3Ahttp%3A%3A%3Axrootd-local.unl.edu%3A1094%3A%3Astore%3Auser%3AAGC%3AATLAS_HZZ%3Amc_361106.Zee.4lep.root?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ABAOJZ4XMLKWO5H0PZJ3%2F20241003%2Faf-object-store%2Fs3%2Faws4_request&X-Amz-Date=20241003T063427Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=ef20fcb47afcb1f5dc89867d0d55c97aafa5bfd7fd5a116fe05c3b5b06e44273', 'http://s3v2.af.uchicago.edu:32095/69ec4b48-f001-4d63-9bac-2c4e1c560728/root%3A%3A%3Axcache.af.uchicago.edu%3A%3Ahttp%3A%3A%3Axrootd-local.unl.edu%3A1094%3A%3Astore%3Auser%3AAGC%3AATLAS_HZZ%3Amc_361107.Zmumu.4lep.root?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ABAOJZ4XMLKWO5H0PZJ3%2F20241003%2Faf-object-store%2Fs3%2Faws4_request&X-Amz-Date=20241003T063432Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=46b1aeb2f4498d9134aeeb4c2fac4bc19872613ba523490bad1a316bbd50dff2', 'http://s3v2.af.uchicago.edu:32095/69ec4b48-f001-4d63-9bac-2c4e1c560728/root%3A%3A%3Axcache.af.uchicago.edu%3A%3Ahttp%3A%3A%3Axrootd-local.unl.edu%3A1094%3A%3Astore%3Auser%3AAGC%3AATLAS_HZZ%3Amc_410000.ttbar_lep.4lep.root?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ABAOJZ4XMLKWO5H0PZJ3%2F20241003%2Faf-object-store%2Fs3%2Faws4_request&X-Amz-Date=20241003T063437Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=8ed564063e68075229e6f19844e793d0db3b79b7edc29ebea62c29f10228fe11'],\n",
" 'metadata': {'dataset_name': 'Background $Z,t\\\\bar{t}$'}},\n",
- " 'Background $ZZ^{\\\\star}$': {'files': ['https://int-uproot-minio.servicex.ssl-hep.org/c1c34ee0-14b2-47a5-bfae-78dac40cf71b/http%3A%3A%3Axrootd-local.unl.edu%3A1094%3A%3Astore%3Auser%3AAGC%3AATLAS_HZZ%3Amc_363490.llll.4lep.root?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=miniouser%2F20230203%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20230203T185855Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=5af863e7f1f7c837851554a63eebd712d454fcd9f9cd8d761e1eb5e57ad569bb'],\n",
+ " 'Background $ZZ^{\\\\star}$': {'files': ['http://s3v2.af.uchicago.edu:32095/1d45f18f-c647-4e34-ad5e-1a994ebe7500/root%3A%3A%3Axcache.af.uchicago.edu%3A%3Ahttp%3A%3A%3Axrootd-local.unl.edu%3A1094%3A%3Astore%3Auser%3AAGC%3AATLAS_HZZ%3Amc_363490.llll.4lep.root?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ABAOJZ4XMLKWO5H0PZJ3%2F20241003%2Faf-object-store%2Fs3%2Faws4_request&X-Amz-Date=20241003T063427Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=0ef85def5136da437133412e67dc018173bfcee2ca8e16b63d5ba949d789d923'],\n",
" 'metadata': {'dataset_name': 'Background $ZZ^{\\\\star}$'}},\n",
- " 'Signal ($m_H$ = 125 GeV)': {'files': ['https://int-uproot-minio.servicex.ssl-hep.org/3b93feee-a7f8-41d4-ae4f-699f694e13ba/http%3A%3A%3Axrootd-local.unl.edu%3A1094%3A%3Astore%3Auser%3AAGC%3AATLAS_HZZ%3Amc_345060.ggH125_ZZ4lep.4lep.root?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=miniouser%2F20230203%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20230203T185912Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=2ea20686b57c3a0bb37aa6579b3e932c28c57606353f130ddb2da76e5c82eefe',\n",
- " 'https://int-uproot-minio.servicex.ssl-hep.org/3b93feee-a7f8-41d4-ae4f-699f694e13ba/http%3A%3A%3Axrootd-local.unl.edu%3A1094%3A%3Astore%3Auser%3AAGC%3AATLAS_HZZ%3Amc_341947.ZH125_ZZ4lep.4lep.root?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=miniouser%2F20230203%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20230203T185918Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=b971042ee5a1c8fcd44b2ca8c3fbba394458d375d922ecf250fae47973856a8f',\n",
- " 'https://int-uproot-minio.servicex.ssl-hep.org/3b93feee-a7f8-41d4-ae4f-699f694e13ba/http%3A%3A%3Axrootd-local.unl.edu%3A1094%3A%3Astore%3Auser%3AAGC%3AATLAS_HZZ%3Amc_341964.WH125_ZZ4lep.4lep.root?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=miniouser%2F20230203%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20230203T185918Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=a96748bddb1b3cc8fae5bfd21136637e0de006f306b68a8cb5972324b094156d',\n",
- " 'https://int-uproot-minio.servicex.ssl-hep.org/3b93feee-a7f8-41d4-ae4f-699f694e13ba/http%3A%3A%3Axrootd-local.unl.edu%3A1094%3A%3Astore%3Auser%3AAGC%3AATLAS_HZZ%3Amc_344235.VBFH125_ZZ4lep.4lep.root?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=miniouser%2F20230203%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20230203T185918Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=51cbe2da83b7085a337006b5e0153f73ce42115f0faea66dbf609b5379ed6026'],\n",
+ " 'Signal ($m_H$ = 125 GeV)': {'files': ['http://s3v2.af.uchicago.edu:32095/43016873-3dbb-47f9-847f-3ab3a81133fa/root%3A%3A%3Axcache.af.uchicago.edu%3A%3Ahttp%3A%3A%3Axrootd-local.unl.edu%3A1094%3A%3Astore%3Auser%3AAGC%3AATLAS_HZZ%3Amc_341947.ZH125_ZZ4lep.4lep.root?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ABAOJZ4XMLKWO5H0PZJ3%2F20241003%2Faf-object-store%2Fs3%2Faws4_request&X-Amz-Date=20241003T063427Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=7c838ff2eadb32f0b013d9bc48d5cd7764c0eb08407175ff1ea8d6c29b259d2d', 'http://s3v2.af.uchicago.edu:32095/43016873-3dbb-47f9-847f-3ab3a81133fa/root%3A%3A%3Axcache.af.uchicago.edu%3A%3Ahttp%3A%3A%3Axrootd-local.unl.edu%3A1094%3A%3Astore%3Auser%3AAGC%3AATLAS_HZZ%3Amc_341964.WH125_ZZ4lep.4lep.root?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ABAOJZ4XMLKWO5H0PZJ3%2F20241003%2Faf-object-store%2Fs3%2Faws4_request&X-Amz-Date=20241003T063427Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=7e7e74cb2175d8c533ea9ed73a17bb07160d7152c1600290e7272ba4444a8859', 'http://s3v2.af.uchicago.edu:32095/43016873-3dbb-47f9-847f-3ab3a81133fa/root%3A%3A%3Axcache.af.uchicago.edu%3A%3Ahttp%3A%3A%3Axrootd-local.unl.edu%3A1094%3A%3Astore%3Auser%3AAGC%3AATLAS_HZZ%3Amc_344235.VBFH125_ZZ4lep.4lep.root?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ABAOJZ4XMLKWO5H0PZJ3%2F20241003%2Faf-object-store%2Fs3%2Faws4_request&X-Amz-Date=20241003T063427Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=6fb165b3da4d4346f2ac7f5e92b8d9df08c8208ec241b9102eec0626921d32e3', 'http://s3v2.af.uchicago.edu:32095/43016873-3dbb-47f9-847f-3ab3a81133fa/root%3A%3A%3Axcache.af.uchicago.edu%3A%3Ahttp%3A%3A%3Axrootd-local.unl.edu%3A1094%3A%3Astore%3Auser%3AAGC%3AATLAS_HZZ%3Amc_345060.ggH125_ZZ4lep.4lep.root?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ABAOJZ4XMLKWO5H0PZJ3%2F20241003%2Faf-object-store%2Fs3%2Faws4_request&X-Amz-Date=20241003T063427Z&X-Amz-Expires=604800&X-Amz-SignedHeaders=host&X-Amz-Signature=583b5bc164f2a0ead7fc825ff53c9266d2ef7379f03ab006cf17aff2ed0f3c97'],\n",
" 'metadata': {'dataset_name': 'Signal ($m_H$ = 125 GeV)'}}}"
]
},
@@ -586,7 +562,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "9b90e63cbb1f443db1edbd9a2b081984",
+ "model_id": "02a643d4234f48d7b0b0040bfd2e1e8a",
"version_major": 2,
"version_minor": 0
},
@@ -607,23 +583,10 @@
"metadata": {},
"output_type": "display_data"
},
- {
- "data": {
- "text/html": [
- "\n",
- "
\n"
- ],
- "text/plain": [
- "\n"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "8b675555ae1e4fdd985d7bb95e93320c",
+ "model_id": "de38992face040b7b3f98a954b95a250",
"version_major": 2,
"version_minor": 0
},
@@ -644,24 +607,11 @@
"metadata": {},
"output_type": "display_data"
},
- {
- "data": {
- "text/html": [
- "\n",
- "
\n"
- ],
- "text/plain": [
- "\n"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
{
"name": "stdout",
"output_type": "stream",
"text": [
- "execution took 38.58 seconds\n"
+ "execution took 25.43 seconds\n"
]
}
],
@@ -671,7 +621,8 @@
"executor = processor.FuturesExecutor(workers=NUM_CORES)\n",
"run = processor.Runner(executor=executor, savemetrics=True, metadata_cache={},\n",
" chunksize=CHUNKSIZE, schema=BaseSchema)\n",
- "all_histograms, metrics = run(fileset, \"servicex\", processor_instance=HZZAnalysis())\n",
+ "# The trees returned by ServiceX will have different names depending on the query language used\n",
+ "all_histograms, metrics = run(fileset, \"mini\" if USE_SERVICEX_UPROOT_RAW else \"servicex\", processor_instance=HZZAnalysis())\n",
"\n",
"print(f\"execution took {time.time() - t0:.2f} seconds\")"
]
@@ -694,7 +645,7 @@
"outputs": [
{
"data": {
- "image/png": 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NmzfDysoKR48exYYNGwAAs2bNwldffYXNmzfj9OnT8PT0RGBgIO7fv69VuTdv3gw7OzskJiZi2bJlWLhwIQ4cOCCunzlzJg4fPoyvv/4aP/zwAw4dOqQ2xooUFRVh9OjR+PHHH8slKJpuY25ujhYtWqBx48ZwcHDQqnx1hlDLZWVlCQCErKwsY4dCRHUFYLiHDsaOHSuYm5sLdnZ2gp2dnQBAUCgUQlJSUoX7/PnnnwIA4fz584IgCEJ2drZgbW0tbNy4Ue32ffv2FaZOnSqsWbNGkMvlwqFDh8R12dnZgqWlpbBjxw5x2cOHD4V69eoJU6dOVTmGr6+vynFzc3MFS0tLYdu2beKygoICwc3NTVi2bJkgCILQokULYeXKlSr7+fj4CPPmzVM5du/evVW26dq1q/Dmm28KgiAIOTk5gpWVlfDFF1+I6+/duyfY2tqqxFiRf/75R3jllVeEhg0bCmfOnNF5m7pM0+s3a2SIiOqgZ555BsnJyUhOTsaJEycQGBiIgQMH4rfffgMApKamYuTIkfDw8ICjoyPc3d0BALdu3QIAXL58Gfn5+ejXr1+F5/jyyy8RGRmJAwcOoG/fvuLyGzduoLCwEN26dROXyeVytGnTptwx/Pz8VJ5fv34dhYWF8Pf3F5dZWlqiW7duuHz5slavQceOHVWeKxQK3L17VzxPQUEBunfvLq5v2LCh2hjLKioqQkhICH744QckJCSgU6dOOm1DmmEiQ0RUB9nZ2cHT0xOenp7o2rUrPvnkE+Tl5WHjxo0AgMGDB+P+/fvYuHEjEhMTkZiYCODfBre2trZVnsPX1xfOzs7YtGmTzuOg2NnZab2PmZlZufMVFhaW287S0lLluUwmU7l1pouSBOX777/Hjz/+WGkSU9k2pDkmMkREBJlMBjMzM/z999+4d+8eUlJSMGfOHPTr1w9t27bFgwcPVLb38vKCra0tEhISKjxmq1atcPDgQXz99deIiIgQl3t4eMDS0lKlgW5WVhauXr1aZZytWrUS28yUKCwsxMmTJ9GuXTsAgLOzMzIyMsT12dnZuHnzZtUvQpnzWFpaigkcADx48KDSGIuKijBmzBgxQfH19dVpG9KOhbEDICIiw8vPz0dmZiaA4gv0mjVrkJubi8GDB6NBgwZwcnLCxx9/DIVCgVu3bmH27Nkq+9vY2ODNN9/ErFmzYGVlBX9/f/z555+4ePEiwsLCxO1at26NgwcPIiAgABYWFli1ahUcHBwwduxYzJw5Ew0bNkTjxo0xb948mJmZQVZFl3I7OztMnjxZ3Ld58+ZYtmwZHj16JJ732WefRXx8PAYPHoz69etj7ty5MDc31+r1sbe3R1hYGGbOnAknJyc0btwYb7/9NszM1P/+VyqVGDNmDHbv3o0vv/wSCoVCfH1LODs7a7SNtrHWdUxkiIjqoP3790OhUAAAHBwc4O3tjR07diAgIAAA8Pnnn+P1119H+/bt0aZNG3z44YfiuhLR0dGwsLDA3LlzkZ6eDoVCgUmTJpU7V5s2bfDTTz8hICAA5ubmWL58OVasWIFJkyZh0KBBcHR0xKxZs3D79m3Y2NhUGfvSpUuhVCoREhKCnJwcdOnSBd9//z0aNGgAoLg31c2bNzFo0CDI5XIsWrRI6xoZAHjvvffE5M7BwQFvvPEGsrKy1G578uRJbN++HQDw/PPPl1svk8lw8ODBKrd5+PAhHB0dtY61LpMJut64lIjs7GzI5XJkZWXxzUFEhlGNgeq0Vku+wvPy8tCkSRMsX75cpUaH6i5Nr9+skSEi0rdaklzUpDNnzuDKlSvo1q0bsrKysHDhQgDAkCFDjBwZSQ0TGSIiMor3338fKSkpsLKygp+fH44cOYJGjRoZOyySGCYyRERkcL6+vkhKSjJ2GFQLsPs1ERERSRYTGSIiIpIsJjJEREQkWUxkiIiISLKYyBAREZFkMZEhIiIiyWIiQ0RERJLFRIaIiIgki4kMERERSRYTGSIiIpIsJjJEREQkWUxkiIhIRUBAAKZNm2ay57137x4aN26MtLS0Go+JdPPKK69g+fLlBjkXJ40kItKznSkZBjvXsDYKrff5888/MXfuXOzbtw937txBgwYN4OPjg7lz58Lf3x87d+6EpaVlDUSrH++88w6GDBkCd3d3Y4eilZ9//hnvvfcekpKSkJGRgV27duGll14S1y9ZsgQ7d+7ElStXYGtri169euHdd99FmzZtxG3mz5+PBQsWqBy3TZs2uHLlSpXnz8zMxJIlS7Bv3z78/vvvkMvl8PT0xOjRozF27FjUq1evymMMHjwYhYWF2L9/f7l1R44cQZ8+fXD27FnMmTMHffr0wYQJEyCXy6s8bnUwkSEiqmOCg4NRUFCAzZs3w8PDA3fu3EFCQgLu3bsHAGjYsKGRI6zYo0ePEBsbi++//97YoWgtLy8PPj4+GD9+PIYNG1Zu/eHDhxEeHo6uXbvin3/+wVtvvYXnnnsOly5dgp2dnbjdU089hR9//FF8bmFR9aX8xo0b8Pf3R/369bF48WJ06NAB1tbWOH/+PD7++GM0adIEL774YpXHCQsLQ3BwMH7//Xc0bdpUZV1cXBy6dOmCjh07AgBatWqFTz/9FOHh4VUetzqMemtp/vz5kMlkKg9vb29x/ePHjxEeHg4nJyfY29sjODgYd+7cMWLERETS9vDhQxw5cgTvvvsunnnmGbRo0QLdunVDVFSUeCEre4snJycHo0aNgp2dHRQKBVauXFlum4CAALz++uuYNWsWGjZsCFdXV8yfP1/l3Pv370fv3r1Rv359ODk5YdCgQbh+/bpW8X/77bewtrZGjx49xGVpaWmQyWT46quv0KdPH9ja2qJr1664desWjhw5gh49eqBevXro168fHj58qO1LpjcDBw5ETEwMhg4dqnb9/v37ERoaiqeeego+Pj6Ij4/HrVu3kJSUpLKdhYUFXF1dxUejRo2qPPdrr70GCwsLnDp1CsOHD0fbtm3h4eGBIUOGYN++fRg8eDAAQKlUYsmSJWjZsiVsbW3h4+ODL7/8UjzOoEGD4OzsjPj4eJXj5+bmYseOHQgLCxOXDR48GJ9//rmmL4/OjN5G5qmnnkJGRob4+OWXX8R1kZGR+Oabb7Bjxw4cPnwY6enparNYIiLSjL29Pezt7bF7927k5+drtM/06dNx9OhR7NmzBwcOHMCRI0dw+vTpcttt3rwZdnZ2SExMxLJly7Bw4UIcOHBAXJ+Xl4fp06fj1KlTSEhIgJmZGYYOHQqlUqlx/EeOHIGfn5/KsrNnzwIA1q9fj8WLF+PYsWO4c+cORo8ejaVLl2LNmjU4ePAgzp49i7i4OI3PVdbixYvF16+ix61bt3Q+fllZWVkAyteQpaamws3NDR4eHhg1alSV57x37x5++OEHhIeHq9TslCaTyQAU397asmULNmzYgIsXLyIyMhKjR4/G4cOHARQnUWPGjEF8fDwEQRD337FjB4qKijBy5EhxWbdu3XDixAmN32e6MvqtpZLMsqysrCzExsZi+/btePbZZwEUV1u1bdsWv/76q0o2TkREmrGwsEB8fDwmTpyIDRs2oHPnzujbty9eeeUV8ZZAaTk5Odi8eTO2b9+Ofv36ASj+LnZzcyu3bceOHTFv3jwAgJeXF9asWYOEhAQMGDAAQPEtrdI2bdoEZ2dnXLp0Ce3bt9co/t9++63cuZOTk9GwYUP873//g5OTEwCgb9+++OWXX3Dx4kWx7UfXrl2RmZkJAFixYgXu37+PmJgYAMA///wDJycn3Lt3r8JbNZMmTcLw4cMrjU/d66ILpVKJadOmwd/fX+W16d69O+Lj49GmTRtkZGRgwYIFePrpp3HhwgU4ODioPda1a9cgCIJKWxsAaNSoER4/fgwACA8Px8KFC7F48WL8+OOP6NmzJwDAw8MDv/zyCz766CP07dsXADB+/Hi89957OHz4MAICAgAUvyeCg4NV2sO4ubmhoKAAmZmZaNGihV5eF3WMXiNTUWaZlJSEwsJC9O/fX9zW29sbzZs3x/Hjxys8Xn5+PrKzs1UeRET0r+DgYKSnp2PPnj0ICgrCoUOH0Llz53K3C4DithWFhYXo1q2buEwul5e7KAIolwgpFArcvXtXfJ6amoqRI0fCw8MDjo6OYmNdbWox/v77b9jY2KgsO3v2LIYOHSomMSXHHDFihEoD1lu3bqFly5YAgAsXLqBTp07iusuXL8Pd3b3S9iYNGzaEp6dnpQ9N2qtoIjw8HBcuXCh3a2bgwIF4+eWX0bFjRwQGBuLbb7/Fw4cP8cUXX2h9jhMnTiA5ORlPPfUU8vPzce3aNTx69AgDBgxQqWXasmWLyi1Ab29v9OrVC5s2bQJQnCgdOXJE5bYSANja2gIobtdUk4yayJRklvv378f69etx8+ZNPP3008jJyUFmZiasrKxQv359lX1cXFzEjFqdJUuWQC6Xi49mzZrVcCmIiKTHxsYGAwYMQHR0NI4dO4bQ0FCxNkVXZXs6yWQyldtGgwcPxv3797Fx40YkJiYiMTERAFBQUKDxORo1aoQHDx6oLEtOTkb37t1Vlp09e1al5v7x48dISUmBj48PgOJEpuTfJcfo0KFDpec21K2lKVOmYO/evTh48GC5BrVl1a9fH61bt8a1a9cq3MbT0xMymQwpKSkqyz08PODp6SkmHLm5uQCAffv2ITk5WXxcunRJpZ0MUNzo96uvvkJOTg7i4uLQqlUrscamxP379wEAzs7OmhVcR0a9tTRw4EDx3x07dkT37t3RokULfPHFF+ILq62oqChMnz5dfJ6dnc1khoioCu3atcPu3bvLLffw8IClpSVOnjyJ5s2bAyi+9X/16lX06dNH4+Pfu3cPKSkp2LhxI55++mkAUGkTqSlfX198+umn4vPs7GykpaXB19dXXHbz5k1kZWWpLDt//jwEQUCHDh0gCAKuXLki3vICgAcPHiAqKqrSc9f0rSVBEBAREYFdu3bh0KFDYu1RZXJzc3H9+nWEhIRUuI2TkxMGDBiANWvWICIiosJ2Mu3atYO1tTVu3bpVLikpa/jw4Zg6dSq2b9+OLVu2YPLkyWI7mxIXLlxA06ZNNWqMXB1GbyNTWunMcsCAASgoKMDDhw9VamXu3Lmjtk1NCWtra1hbWxsgWiIi6bl37x5efvlljB8/Hh07doSDgwNOnTqFZcuWYciQIeW2d3BwwNixYzFz5kw0bNgQjRs3xrx582BmZlbuwlWZBg0awMnJCR9//DEUCgVu3bqF2bNnax1/YGAgoqKi8ODBAzRo0ABnz56Fubm5SjuSkjYzpdtlJCcno1WrVrC3t8eNGzfQunVrnDp1Slw/cODAKmtkGjZsWK2u6bm5uSo1Jzdv3hRjbd68OcLDw7F9+3Z8/fXXcHBwEO8+yOVy8cf9jBkzMHjwYLRo0QLp6emYN28ezM3NVRrZqrNu3Tr4+/ujS5cumD9/Pjp27AgzMzOcPHkSV65cgZ+fHxwcHDBjxgxERkZCqVSid+/eyMrKwtGjR+Ho6IixY8eKx7O3t8eIESMQFRWF7OxshIaGljvnkSNH8Nxzz+n8emnK6G1kSivJLBUKBfz8/GBpaYmEhARxfUpKCm7duiU2QiIiIu3Y29uje/fuWLlyJfr06YP27dsjOjoaEydOxJo1a9Tus2LFCvTs2RODBg1C//794e/vj7Zt25Zrq1IZMzMzfP7550hKSkL79u0RGRmJ9957T+v4O3TogM6dO4ttQs6ePYs2bdqoxHL27FmV2piSZaVvK7Vt21ZlvTYNjnV16tQp+Pr6irFNnz4dvr6+mDt3LoDiXldZWVkICAiAQqEQH//73//EY/z+++8YOXIk2rRpg+HDh8PJyQm//vprlbdvWrVqhTNnzqB///6IioqCj48PunTpgtWrV2PGjBlYtGgRAGDRokWIjo7GkiVL0LZtWwQFBWHfvn1qa4fCwsLw4MEDBAYGlquJevz4MXbv3o2JEydW6zXThEwo3X/KwNRlliX345ydnTF58mR8++23iI+Ph6OjIyIiIgAAx44d0/gc2dnZkMvlyMrKgqOjY00VhYiozsjLy0OTJk2wfPnycg08DWHfvn2YOXMmLly4ADMz7X+PL168GDKZTLyVVFIeY44xU9usX78eu3btwg8//KDzMTS9fhv11lJJZnnv3j04Ozujd+/eKpnlypUrYWZmhuDgYOTn5yMwMBDr1q0zZshERHXOmTNncOXKFXTr1g1ZWVlYuHAhAKi9FWUIL7zwAlJTU/HHH3/o1AbywoULKm1drly5gnbt2ukzxDrP0tISq1evNsi5jFojYwiskSEiqp4zZ85gwoQJSElJgZWVFfz8/LBixYoq25QQVYckamSIiMj0+fr6lhsmn8hUmFRjXyIiIiJtMJEhIiIiyWIiQ0RERJLFRIaIiIgki4kMERERSRYTGSIiIpIsJjJEREQkWUxkiIiMLCMjA/Pnz0dGRoaxQyGSHCYyRERGlpGRgQULFjCRIdIBExkiojomNDQUMpkMMpkMlpaWcHFxwYABA7Bp0yYolUqNjxMfH4/69evXXKBEGmAiQ0RkRKmpqeLkeqtXr0ZqaqpBzhsUFISMjAykpaXhu+++wzPPPIOpU6di0KBB+OeffwwSA5E+MJEhIjKSuLg4eHt7Y+vWrQCArVu3wtvbG/Hx8TV+bmtra7i6uqJJkybo3Lkz3nrrLXz99df47rvvxPOXTAxpZ2eHZs2a4bXXXkNubi4A4NChQxg3bhyysrLE2p358+eL5ejSpQscHBzg6uqK//73v7h7926Nl4nqJiYyRERGkJqaigkTJkCpVKKoqAgAUFRUBKVSibCwMFy7ds3gMT377LPw8fHBzp07AQBmZmb48MMPcfHiRWzevBk//fQTZs2aBQDo1asXVq1aBUdHR2RkZCAjIwMzZswAABQWFmLRokU4e/Ysdu/ejbS0NISGhhq8PFQ3cPZrIiIj2LRpE2Qymdp1MpkMsbGxWLJkiYGjAry9vXHu3DkAwLRp08Tl7u7uiImJwaRJk7Bu3TpYWVlBLpdDJpPB1dVV5Rjjx48X/+3h4YEPP/wQXbt2RW5uLuzt7Q1SDqo7WCNjYOxmSUQAkJaWBkEQ1K4TBAFpaWmGDajUuUsSrB9//BH9+vVDkyZN4ODggJCQENy7dw+PHj2q9BhJSUkYPHgwmjdvDgcHB/Tt2xcAcOvWrRqPn+oeJjIGxm6WRAQU13BUViPj7u5u2ICeuHz5Mlq2bIm0tDQMGjQIHTt2xFdffYWkpCSsXbsWAFBQUFDh/nl5eQgMDISjoyO2bduGkydPYteuXVXuR6QrJjJEREYwfvz4SmtkwsLCDBwR8NNPP+H8+fMIDg5GUlISlEolli9fjh49eqB169ZIT09X2d7Kykps31PiypUruHfvHpYuXYqnn34a3t7ebOhLNYqJDBGREXh5eSE2NhZmZmYwNzcHAJibm8PMzAyxsbHw9PSs0fPn5+cjMzMTf/zxB06fPo3FixdjyJAhGDRoEMaMGQNPT08UFhZi9erVuHHjBrZu3YoNGzaoHMPd3R25ublISEjAX3/9hUePHqF58+awsrIS99uzZw8WLVpUo2Whuo2JDBGRkYSGhiIlJQUhISEAgJCQEKSkpBikh8/+/fuhUCjg7u6OoKAgHDx4EB9++CG+/vprmJubw8fHBytWrMC7776L9u3bY9u2beUaH/fq1QuTJk3CiBEj4OzsjGXLlsHZ2Rnx8fHYsWMH2rVrh6VLl+L999+v8fJQ3SUTKqrbrCWys7Mhl8uRlZUFR0dHY4eD06dPw8/PD0lJSejcubOxwyEiE8DvBaLyNL1+s0aGiIiIJIuJDBGRkSkUCsybNw8KhcLYoRBJDgfEIyIyMoVCIQ7vT0TaYY0MERERSRYTGSIiIpIsJjJEREQkWUxkiIiISLKYyBAREZFkMZEhIiIiyWIiQ0RERJLFRIaIqAbk5OTA398fcrkcJ06cULtNTEwMZDIZYmJi1K4/ceIE5HI5/P39kZOTo/Yc2vrzzz8xefJkNG/eHNbW1nB1dUVgYCCOHj0qbiOTybB7926tj+3u7o5Vq1ZpvV9oaCheeumlcssPHToEmUyGhw8fan1Mqjs4IB4RkZ7l5OQgKCgIFy5cwIEDB9CtW7dy28TExCA6OhqLFi3CnDlzyq0/ceIEBgwYgPbt22P//v1wcHBQe47SCYgmgoODUVBQgM2bN8PDwwN37txBQkIC7t27p10hiUyFUMtlZWUJAISsrCxjhyIIgiAkJSUJAISkpCRjh0JENaRXr16Co6OjkJiYqHb9okWLBADCokWL1K5PTEwUHB0dhV69egnZ2dnl1mdnZ4vn0MaDBw8EAMKhQ4cq3KZFixYCAPHRokULQRAE4dq1a8KLL74oNG7cWLCzsxO6dOkiHDhwQNyvb9++Kvtpc3kZO3asMGTIkHLLDx48KAAQHjx4IAiCIMybN0/w8fERtmzZIrRo0UJwdHQURowYofIaFRUVCe+++67QqlUrwcrKSmjWrJkQExOjcSxkOjS9fvPWEhGRnhmiJqbkHNqwt7eHvb09du/ejfz8fLXbnDx5EgAQFxeHjIwM8Xlubi6ef/55JCQk4MyZMwgKCsLgwYNx69YtAMDOnTvRtGlTLFy4EBkZGcjIyNAqNk1dv34du3fvxt69e7F3714cPnwYS5cuFddHRUVh6dKliI6OxqVLl7B9+3a4uLjUSCxkIgyUWBkNa2SIyNAMURNT0Tmq8uWXXwoNGjQQbGxshF69eglRUVHC2bNnVbYBIOzatavKYz311FPC6tWrxectWrQQVq5cqXVM2tTI1KtXT+W1mTlzptC9e3dBEIpfH2tra2Hjxo1ax0CmhzUyRERGYoiaGHXn0ERwcDDS09OxZ88eBAUF4dChQ+jcuTPi4+Mr3S83NxczZsxA27ZtUb9+fdjb2+Py5ctijYyhuLu7q7w2CoUCd+/eBQBcvnwZ+fn56Nevn0FjIuNiIkNEVMNMJYkpYWNjgwEDBiA6OhrHjh1DaGgo5s2bV+k+M2bMwK5du7B48WIcOXIEycnJ6NChAwoKCqoVCwA4OjoiKyur3PKHDx/C3NwcdnZ24jJLS0uVbWQyGZRKJQDA1ta22rGQ9DCRISKqQaaWxKjTrl075OXlic8tLS1RVFSkss3Ro0cRGhqKoUOHokOHDnB1dUVaWprKNlZWVuX200SbNm1w8eLFcu12Tp8+jZYtW5ZLXiri5eUFW1tbJCQkaB0DSRcTGSKiGmJqScy9e/fw7LPP4tNPP8W5c+dw8+ZN7NixA8uWLcOQIUPE7dzd3ZGQkIDMzEw8ePAAQHGSsHPnTiQnJ+Ps2bP473//K9aElN7v559/xh9//IG//voLAPDHH3/A29u7wrF0AGDUqFGQyWQYM2YMkpKScO3aNWzatAmrVq3CG2+8oXH5bGxs8Oabb2LWrFnYsmULrl+/jl9//RWxsbHiNv369cOaNWs0PiZJgIHa7BgNG/sSkTEYomFvRceuyOPHj4XZs2cLnTt3FuRyuVCvXj2hTZs2wpw5c4RHjx6J2+3Zs0fw9PQULCwsxO7XN2/eFJ555hnB1tZWaNasmbBmzRqhb9++wtSpU8X9jh8/LnTs2FGwtrYWu1/fvHlTACAcPHiw0thSUlKEoUOHCm5uboKdnZ3g4+MjbNy4UVAqleI2Jd2vS1u5cqUYoyAUd7+OiYkRWrRoIVhaWgrNmzcXFi9eLK5v0aKFMG/ePK1eNzIOTa/fMkEQBGMmUjUtOzsbcrkcWVlZcHR0NHY4OH36NPz8/JCUlITOnTsbOxwiIiKTpOn1m7eWiIiISLKYyBAREZFkMZEhIiIiyWIiQ0RERJLFRIaIiIgkS6tERpeBjoiIiIhqilaJTJMmTTB79mxcvXpV74EsXboUMpkM06ZNE5c9fvwY4eHhcHJygr29PYKDg3Hnzh29n5uIiIikSatEJjw8HF9++SXatm2Lp59+GvHx8Xj06FG1gzh58iQ++ugjdOzYUWV5ZGQkvvnmG+zYsQOHDx9Geno6hg0bVu3zERERUe2gVSITHR2Na9euISEhAR4eHpgyZQoUCgUmTpyIxMREnQLIzc3FqFGjsHHjRjRo0EBcnpWVhdjYWKxYsQLPPvss/Pz8EBcXh2PHjuHXX3/V6VxERERUu+jU2DcgIACbN29GZmYmli9fjsuXL6Nnz5546qmnsGLFCq2OFR4ejhdeeAH9+/dXWZ6UlITCwkKV5d7e3mjevDmOHz9e4fHy8/ORnZ2t8iAiIqLaqVq9luzt7TFhwgT88ssv+Oabb5CZmYmZM2dqvP/nn3+O06dPY8mSJeXWZWZmwsrKCvXr11dZ7uLigszMzAqPuWTJEsjlcvHRrFkzjeMhIiIiaalWIvPo0SPEx8ejb9++ePHFF+Hk5IR33nlHo31v376NqVOnYtu2bbCxsalOGCqioqKQlZUlPm7fvq23YxMREZFp0SmROXbsGCZMmACFQoHw8HC4u7vj4MGDuHr1KmbPnq3RMZKSknD37l107twZFhYWsLCwwOHDh/Hhhx/CwsICLi4uKCgowMOHD1X2u3PnDlxdXSs8rrW1NRwdHVUepiI1NRWrV68GAKxevRqpqalGjoiIiEjatEpkli1bJvZYOn/+PN577z1kZmZi8+bN6NOnj1Yn7tevH86fP4/k5GTx0aVLF4waNUr8t6WlJRISEsR9UlJScOvWLfTs2VOrc5mCuLg4eHt7Y+vWrQCArVu3wtvbG/Hx8cYNjIiISMJkgiAImm7s7OyM0aNHIywsDO3bt9d7MAEBAejUqRNWrVoFAJg8eTK+/fZbxMfHw9HREREREQCKa4Q0pek04DUpNTUV3t7eUCqV5daZmZkhJSUFnp6eRoiMiIjINGl6/bbQ5qDp6emwtLRUWfb48WO9tnEpbeXKlTAzM0NwcDDy8/MRGBiIdevW1ci5atKmTZsgk8nUrpPJZIiNjVXb4JmIiIgqp9WtpZIkRqlUYtGiRWjSpAns7e1x48YNAMXjzMTGxuoczKFDh8TaGACwsbHB2rVrcf/+feTl5WHnzp2Vto8xVWlpaaio4ksQBKSlpRk2ICIiolpCp8a+MTExiI+Px7Jly2BlZSUub9++PT755BO9BVdbuLu7V1oj4+7ubtiAiIiIagmdEpktW7bg448/xqhRo2Bubi4u9/HxwZUrV/QWXG0xfvz4SmtkwsLCDBwRERFR7aBTIvPHH3+obZyqVCpRWFhY7aBqGy8vL8TGxsLMzExM/MzNzWFmZobY2Fg29CUiItKRTolMu3btcOTIkXLLv/zyS/j6+lY7qNooNDQUKSkpCAkJAQCEhIQgJSUFoaGhxg2MiIhIwrTqtVRi7ty5GDt2LP744w8olUrs3LkTKSkp2LJlC/bu3avvGGsNT09PREREID4+HhEREayJISIiqiadamSGDBmCb775Bj/++CPs7Owwd+5cXL58Gd988w0GDBig7xiJiIiI1NKpRgYAnn76aRw4cECfsRARERFpRedEBgBycnJUeuOYmZnB3t6+2kERERERaUKrW0vJycl4/vnnxedubm5o0KCB+Khfvz5Onjyp9yCJiIiI1NGqRmb16tXo3bu3yrKtW7eiSZMmEAQBmzZtwocffihOjEhERERUk7RKZI4dO4YpU6aoLOvRowc8PDwAALa2thg+fLj+oiMiIiKqhFa3ln777Tc4OzuLzxcuXIhGjRqJzxUKBe7cuaO/6IiIiIgqoVUiY2Njg99++018HhkZqTK19u3bt1GvXj39RUdERERUCa0SGV9fX+zevbvC9Tt37uTIvkRERGQwWrWRee211/DKK6/A3d0dkydPhplZcR5UVFSEdevWYfXq1di+fXuNBEpERERUllaJTHBwMKZPn46IiAi89dZbYiPfGzduIDc3F9OnT8d//vOfGgmUiIiIqCytB8R79913MXToUHz22WdITU0FAPTp0wcjR45Ejx499B4gERERUUV0Gtm3R48eTFqIiIjI6HSaNJKIiIjIFDCRISIiIsliIkNERESSxUSGiIiIJEunxr4AkJWVhczMTACAq6sr5HK53oIiIiIi0oTWNTKffPIJ2rVrh4YNG6Jdu3Yq/46Nja2JGImIiIjU0qpG5r333sP8+fPx+uuvIzAwEC4uLgCAO3fu4IcffsDUqVPx4MEDzJgxo0aCJSIiIipNq0RmzZo1iIuLw/Dhw1WWt23bFgEBAfDx8cHMmTOZyBAREZFBaHVr6e7du+jQoUOF6zt06IC//vqr2kFJQUZGBubPn4+MjAxjh0JERFRnaZXIdO3aFUuXLsU///xTbl1RURHeffdddO3aVW/BmbKMjAwsWLCAiQwREZERaX1rKTAwEK6urujTp49KG5mff/4ZVlZW+OGHH2okUCIiIqKytKqR6dixI65evYpFixbBwcEBN27cwI0bN+Dg4ICYmBhcuXIF7du3r6lYiYiIiFRoPY6Mg4MDJk+ejMmTJ9dEPEREREQa48i+REREJFl6TWT69+8PDw8PfR6SiIiIqEI6T1GgztChQ+tM92siIiIyPr0mMuHh4fo8HBEREVGl2EaGiIiIJEvrkX1LS05OxtixY+Hv74///Oc/OHTokD5jq5UUCgXmzZsHhUJh7FCIiIgkT6tERqFQiMnMsWPH0K1bN/z222/w9/dHdnY2BgwYgJ9//rlGAq0tFAoF5s+fz0SGiIhID7RqIyMIgvjv+fPnIyQkBLGxseKyadOmYcGCBUhISNBfhEREREQV0LmNzIULFzBx4kSVZRMnTsS5c+eqHRQRERGRJrTutZSTkwMbGxvY2NjA2tpaZZ2NjQ0ePXqkt+CIiIiIKqN1jUzr1q3RoEEDpKWl4dSpUyrrLl68CDc3N70FR0RERFQZrWpkDh48qPK8bIPVmzdv4tVXX61+VEREREQa0CqR6du3b6Xrp06dWq1giIiIiLTBAfGIiIhIspjIEBERkWQxkSEiIiLJYiJDREREkqVVIvP000/j/fffx9WrV/Vy8vXr16Njx45wdHSEo6Mjevbsie+++05c//jxY4SHh8PJyQn29vYIDg7GnTt39HJuIiIikj6tEpmJEyfi+PHj8PPzQ9u2bfHmm2/i6NGjKlMXaKNp06ZYunQpkpKScOrUKTz77LMYMmQILl68CACIjIzEN998gx07duDw4cNIT0/HsGHDdDoXERER1T4yQYcsJD8/HwkJCfj666/xzTffoKioCC+88AJefPFFBAYGwtbWVueAGjZsiPfeew//+c9/4OzsjO3bt+M///kPAODKlSto27Ytjh8/jh49emh0vOzsbMjlcmRlZcHR0VHnuMo6ffo0/Pz8kJSUhM6dO+vtuERERKT59VunNjLW1tZ4/vnn8dFHHyE9PR179uyBQqFAdHQ0nJycMGjQIBw9elSrYxYVFeHzzz9HXl4eevbsiaSkJBQWFqJ///7iNt7e3mjevDmOHz9e4XHy8/ORnZ2t8iAiIqLaSS+Nfbt374533nkH58+fx/nz59GvXz9kZGRotO/58+dhb28Pa2trTJo0Cbt27UK7du2QmZkJKysr1K9fX2V7FxcXZGZmVni8JUuWQC6Xi49mzZpVp2gkMRkZGZg/f77G7z8iIpI2vfdaatWqFSIjI8XbQVVp06YNkpOTkZiYiMmTJ2Ps2LG4dOmSzuePiopCVlaW+Lh9+7bOxyLpycjIwIIFC5jIEBHVEVrPfq1vVlZW8PT0BAD4+fnh5MmT+OCDDzBixAgUFBTg4cOHKrUyd+7cgaura4XHs7a2LjcrNxEREdVOJjeOjFKpRH5+Pvz8/GBpaYmEhARxXUpKCm7duoWePXsaMUIiIiIyFUatkYmKisLAgQPRvHlz5OTkYPv27Th06BC+//57yOVyhIWFYfr06WjYsCEcHR0RERGBnj17atxjiYiIiGo3vSQyRUVFOH/+PFq0aIEGDRpovN/du3cxZswYZGRkQC6Xo2PHjvj+++8xYMAAAMDKlSthZmaG4OBg5OfnIzAwEOvWrdNHyERERFQL6JTITJs2DR06dEBYWBiKiorQt29fHDt2DPXq1cPevXsREBCg0XFiY2MrXW9jY4O1a9di7dq1uoRJREREtZxObWS+/PJL+Pj4AAC++eYb3Lx5E1euXEFkZCTefvttvQZIREREVBGdEpm//vpL7Dn07bff4uWXX0br1q0xfvx4nD9/Xq8BmqLU1FSsXr0aALB69WqkpqYaOSIiIqK6SadExsXFBZcuXUJRURH2798vtml59OgRzM3N9RqgqYmLi4O3tze2bt0KANi6dSu8vb0RHx9v3MCIiIjqIJ0SmXHjxmH48OFo3749ZDKZOI1AYmIivL299RqgKUlNTcWECROgVCpRVFQEoLihs1KpRFhYGK5du2bkCImIiOoWnRKZ+fPn45NPPsGrr76Ko0ePigPQmZubY/bs2XoN0JRs2rQJMplM7TqZTFZl42UiIiLSL516LW3ZsgUjRowoN4LuyJEj8fnnn+slMFOUlpaGiiYLFwQBaWlphg2IiIiojtP51lJWVla55Tk5ORg3bly1gzJV7u7uldbIuLu7GzYgIiKiOk6nREYQBLUX9N9//x1yubzaQZmq8ePHV1ojExYWZuCIiIiI6jatbi35+vpCJpNBJpOhX79+sLD4d/eioiLcvHkTQUFBeg/SVHh5eSE2NhZhYWGQyWQoKiqCubk5BEFAbGysOPklERERGYZWicxLL70EAEhOTkZgYCDs7e3FdVZWVnB3d0dwcLBeAzQ1oaGh6N27N9555x3Ex8cjJCQEb7/9NpMYIiIiI9AqkZk3bx6A4rYiI0aMgI2NTY0EZeo8PT0RERGB+Ph4REREMIkhIiIyEp16LY0dOxYAUFBQgLt370KpVKqsb968efUjIyIiIqqCTolMamoqxo8fj2PHjqksL2kEXDJYHBEREVFN0imRCQ0NhYWFBfbu3QuFQlFhl2QiIiKimqRTIpOcnIykpKRaPR0BERERmT6dxpFp164d/vrrL33HQkRERKQVnRKZd999F7NmzcKhQ4dw7949ZGdnqzyIiIiIDEGnW0sls13369dPZTkb+xIREZEh6ZTIHDx4UN9xEBEREWlNp0Smb9+++o6DiIiISGs6tZEBgCNHjmD06NHo1asX/vjjDwDA1q1b8csvv+gtOCIiIqLK6JTIfPXVVwgMDIStrS1Onz6N/Px8AEBWVhYWL16s1wCJiIiIKqJTIhMTE4MNGzZg48aNsLS0FJf7+/vj9OnTeguOiIiIqDI6JTIpKSno06dPueVyuRwPHz6sbkxEREREGtEpkXF1dcW1a9fKLf/ll1/g4eFR7aCIiIiINKFTIjNx4kRMnToViYmJkMlkSE9Px7Zt2zBjxgxMnjxZ3zESaSQ1NRWrV68GAKxevRqpqalGjoiIiGqaTt2vZ8+eDaVSiX79+uHRo0fo06cPrK2tMWPGDEREROg7RqIqxcXFYcKECeIEplu3bsWWLVsQGxuL0NBQ4wZHREQ1RiYIgqDrzgUFBbh27Rpyc3PRrl072Nvb6zM2vcjOzoZcLkdWVhYcHR31dtzTp0/Dz88PSUlJ6Ny5s96OS9pLTU2Ft7c3lEpluXVmZmZISUmBp6enESIjIiJdaXr91unW0qeffopHjx7BysoK7dq1Q7du3UwyiaG6YdOmTWJNTFkymQyxsbEGjoiIiAxFp0QmMjISjRs3xn//+198++23nFuJjCotLQ0VVSwKgoC0tDTDBkRERAajUyKTkZGBzz//HDKZDMOHD4dCoUB4eDiOHTum7/iIquTu7l5pjYy7u7thAyIiIoPRKZGxsLDAoEGDsG3bNty9excrV65EWloannnmGbRq1UrfMRJVavz48ZXWyISFhRk4IiIiMhSd51oqUa9ePQQGBmLgwIHw8vJiNT4ZnJeXF2JjY2FmZgZzc3MAgLm5OczMzBAbG8uGvkREtZjOicyjR4+wbds2PP/882jSpAlWrVqFoUOH4uLFi/qMj0gjoaGhSElJQUhICAAgJCQEKSkp7HpNRFTL6ZTIvPLKK2jcuDEiIyPh4eGBQ4cO4dq1a1i0aBG8vb31HSORRjw9PcVxjCIiIlgTQ0RUB+g0IJ65uTm++OILBAYGilX5RERERIamUyKzbds2fcchOQqFAvPmzYNCoTB2KERERHWWVreWnn/+eWRlZYnPly5dqjLb9b1799CuXTu9BWfKFAoF5s+fz0SGiIjIiLRKZL7//nvk5+eLzxcvXoz79++Lz//55x+kpKToLzoiIiKiSmiVyJQdq6Ma0zQRERERVVu1x5Eh9XJyctQu8/f3h1wux4kTJ9TuFxMTU9OhERER1RpaJTIymazcUPAVDQ1f1zk4OKg8z8nJQVBQEC5cuIADBw6gW7du5faJiYlBdHS0oUIkIiKSPK16LQmCgNDQUFhbWwMAHj9+jEmTJsHOzg4AVNrP0L+0SWIWLVpkhAiJiIikSatEZuzYsSrPR48eXW6bMWPGVC+i2uJJTVUOgCAAFwAcANCte/dym8YAiAawCMCc6GhgzhyDhUlERCRlWiUycXFxNRVHrVQuiVGzjUoSY7jQiIiIagU29q0hTGKIiIhqHhOZGuIA4CiALKhPYoDi5EUAkxgiqp6MjAzMnz8fGRkZxg6FyOCYyBARSVxGRgYWLFjARIbqJCYyREREJFlGTWSWLFmCrl27wsHBAY0bN8ZLL71UboqDx48fIzw8HE5OTrC3t0dwcDDu3LljpIiJiIjIlBg1kTl8+DDCw8Px66+/4sCBAygsLMRzzz2HvLw8cZvIyEh888032LFjBw4fPoz09HQMGzbMiFETERGRqdCq+7W+7d+/X+V5fHw8GjdujKSkJPTp0wdZWVmIjY3F9u3b8eyzzwIo7gLetm1b/Prrr+jRo0e5Y+bn56sMzJednV2zhSAiIiKjMak2MllZWQCAhg0bAgCSkpJQWFiI/v37i9t4e3ujefPmOH78uNpjLFmyBHK5XHw0a9as5gMnIiIiozCZREapVGLatGnw9/dH+/btAQCZmZmwsrJC/fr1VbZ1cXFBZmam2uNERUUhKytLfNy+fbumQyciqjapdaGWWrxUe5lMIhMeHo4LFy7g888/r9ZxrK2t4ejoqPIgIjJ1UutCLbV4qfYyiURmypQp2Lt3Lw4ePIimTZuKy11dXVFQUICHDx+qbH/nzh24uroaOEoiIiIyNUZNZARBwJQpU7Br1y789NNPaNmypcp6Pz8/WFpaIiEhQVyWkpKCW7duoWfPnoYOl4iIiEyMUXsthYeHY/v27fj666/h4OAgtnuRy+WwtbWFXC5HWFgYpk+fjoYNG8LR0RERERHo2bOn2h5LREREVLcYNZFZv349ACAgIEBleVxcHEJDQwEAK1euhJmZGYKDg5Gfn4/AwECsW7fOwJGSVCgUCsybNw8KhcLYoRARkQEY/daSukdJEgMANjY2WLt2Le7fv4+8vDzs3LmT7WMIcrkcJ06cKLdcoVDAwsICbm5uiImJMUJkRERkSCbR2JdIWwcOHEC3buXnFY+JiUF0dDQWLVqEOXM4rzgRUW3HRIYkSZckRl0NDhERSRsTmUpUdPsCKL5oymQy3r4wEZokMQMGDDBCZEREVJOYyFRC19sX/OVvWJomMSUjRhMRUe3BRKYSuiYx/OVvONokMWUnKSUiIukzavdrkyeTqTyNARANYBGAOdHRQHS0yvoTAAYA4O9+w9A2iXFwcDBClEREVJNYI6MhlSRGzfrSSQx/99c8JjFEVFtxQk7tMJHRgLZJDC+ZNY9JDBHVVpyQUzu8taSBOVCfwJToBiDLQLFQMSYxREQEMJEhiWr3chh2pqj+Wkk9dwYLx7+CZl5t8NqH8TiQngsgV1z/d24uRvl5GThSIiKqSby1RLVC6SQmeuN22Nrbq6z/OzcXiyb+10jRERFRTWEiQ5KnaRJzOzXFSBESEVFNYSJDkqZNEjN30+dGipKo5qSmpmL16tUAgNWrVyM1NdXIEREZFhMZkixtkxivjr4VHovdHUmK4uLi4O3tja1btwIAtm7dCm9vb8THxxs3sBrCzympw0SGJEmfSQzA7o4kPampqZgwYQKUSiWKiooAAEVFRVAqlQgLC8O1a9eMHKH+8XNK6jCRIUnSZxJDJEWbNm2CrMzo4yVkMhliY2MNHBGRcTCRIUliEkN1XVpaGgRBULtOEASkpaUZNiAiI2EiQ5LEJIbqOnd390prZNzd3Q0bEJGRMJEhSdIlifly/SoDRUekHV16Ho0fP77SGpmwsDC9xlgae0qRKWEiQ5KnaRLz2QfLjBAdUeV07Xnk5eWF2NhYmJmZwdzcHABgbm4OMzMzxMbGwtPT06TiJaopTGRI8mzt7bH4sz3YeiqlwttJ/5k8DV9dSTdwZKZJal1YpRavNqrb8yg0NBQpKSkICQkBAISEhCAlJQWhoaEmGS9Qu/+eZBxMZMhoYmJiIJPJEBMTo3b9iRMnIJfL4e/vj5ycHANHV3tJrQur1OLVhj56Hnl6eiIiIgIAEBERUWM1MYB+4q3Nf08yDiYyZDTR0dGcxZrqNKn1PJJavFQ3MJEho9E1iWHtDNUWUut5JLV4qW5gIkNGo2sSExQUZKgQiWqUMXse6UJq8VLdwESGTIamScyFCxeMFCGRfhmr55GupBYv1Q1MZMgkaJPEHDhwwEhRqsdeGFQdhu55VF1SixfgZ7SmGfv1ZSJDRqdtEtOtWzcjRaoee2FQdRmy55E+SC1efkZrlrFfXyYyZFRST2KIiMi4mMiQ0TCJISKi6rIwdgBUdz3Trz+aebXBax/G40B6LoBccV3ZaQd+lzfD7ymsFiai2q3sPFZvvfUWvLy8jByVaWONDBlNM682RpvFOicnB/7+/pDL5Thx4oTabaoaeZiISJ84j5VumMiQ0eiaxFR3FmtNblnFxMRUOvIwEZE+6WMeq7qKiQwZja5JTHVmsa4tSYyxuzsS1RWG+qzpYx4rKdLH68tEhkyCNknMyKmzdD5PVUnMJ598YvJJDGD87o5EdYWhPmt1dR4rfby+TGTI6LRNYv4zeZrO56qqB9T69etNPokhotqH81jpjokMGZUhkxgAapOYknvTAODr64sRI0aU26+iBsFEZBhle/OkpqYaOSL94jxWumMiQ0YzwNsN67q0RsaZUziYm4M3h7+AYd5uKo9L3m747INlWARg+wfLxOW6KpvExMXFoU2bNjhz5gwA4Ny5c+V6CZSMd0NExlEXevNwHivdMZEhowkCcAHAAQDqbvTEAIgGsAhATdzoSU1NRVhYmMqvoLK9BEoP2kdEhleXevNIcR4rU8BEhozGGEnMzpQM8THkvyEVVuVCJsPEmW/hmX79oWjVGq99GK/HKIhIU3WtN4/U5rEyBRzZV0IyMjLw0Ucf4f/+7/+gUCiMHU61ZVWwPAPAPwDSAVRUSl1vL+28kg6guN3N5VOJgEwGqElmBKWAI3t3wbNDJ7Xj3ehLbfubknEoFArMmzdP6/eQFN5/dbU3j650/ZtK4b1QEdbISEhd6XKbAWDBk//XhJLGw227dIeZmfqPgCAoIXdqVKNJDFB3/qZUsxQKBebPn69TImPq7z/25tGOrn9TKbwXKsJEhuqU0j2gXotZXvGtJQBvbdhao0mMMUit54fU4qV/qevpV7qH4IQJE9T+Pcvux948VBUmMlSnlO7G7ebugddilkNmZlauZubVeUvRsu1TRoqyZkit54fU4iVV+uohyN48VBUmMlSnlB2L5tlhI7D6uyPw7fMsAMCxoRPe33UAgSPHqOz3d24upExqPT+kFi9Vrro9BNmbhyrDRIbqFHUD6uVmPcTFxGMAgJkfflKuJqZk0D4pk1rPD6nFqw+6Ntg1Fm3iLZvElCaTybBo0SIxidm/f7/a7dibhyrCXktUp6WeO4OF41+BS/MW+C3lMmxsbVXWlx55WMqk1vNDavHqQ0mDXanQNN6YmBgcOXIEMplM7d9UEARs374d3bp1w/79++Hg4FAD0VJtxhoZqjFSmKHZq6Mvtp5KwZTFK9Wut7W3x+LP9mDrKWknMvro+WHIv6exe6pI4b1r8mQyxMhkiI6OxtMAzCpITJVKJVz++Qf7jx2Dg6Nj8ZAIRFowaiLz888/Y/DgwXBzc4NMJsPu3btV1guCgLlz50KhUMDW1hb9+/dnrwUJkXJ3Pk1JpVeNPnp+GPLvaeyeKqb83j1x4gTkcjn8/f2Rk5NTbn1OTg78/f0hl8uNOkdY6UEtYwFU3D8Q2AugpuphpPIZlSpTeH2NemspLy8PPj4+GD9+PIYNG1Zu/bJly/Dhhx9i8+bNaNmyJaKjoxEYGIhLly7BxsbGCBGTPi3AfLXL05EO4GN8hFfhBvUD382rYF9DiouLw4QJE8Sag61bt2LLli2IjY01uUaIJT0/wsLCIJPJUFRUBHNzcwiCYJI9P6QWr6GUbhCr7jZMTk4OgoKCqpzl3RDKjswdCyAMgAxAUant1gPoVEMxSOkzKkWm8voatUZm4MCBiImJwdChQ8utEwQBq1atwpw5czBkyBB07NgRW7ZsQXp6ermaGyJDk2KvGqn1/JBavDVNSkkMUH56kVAAKSieYw0AnAGcATCpzH7l65h0I8XPqJSY0utrsm1kbt68iczMTPTv319cJpfL0b17dxw/frzC/fLz85Gdna3yINI3qfaqkVrPD6nFW5OklMQA6udIuw/g0JN/f4XyNTE5+DfRqS6pfkalwpReX5NNZDIzMwEALi4uKstdXFzEdeosWbIEcrlcfDRr1qxG46S6qS72qiHjqk4SExMTA5lMhpiYGLXHvnDhQrXb3VR1DqB4gtifn/zbTs16BwBHoX5UYAD45JNPVP5fVun2Q6mpqRV+RouKipCUlFRhnFQ1U/oONNlERldRUVHIysoSH7dv3zZ2SFQLadurRl8XAqq7VHr1PHnkyGQIcnTEhWPHcCA7G926d1dZX7rn0KJFizBnjvq55F977bVqJ0pVnUMbFZ1j/fr1ACBOc1Ba2VtvXl5eFX5Gzc3N4efnV+046zJj9ywszWQTGVdXVwDAnTt3VJbfuXNHXKeOtbU1HB0dVR4VYRfLqpnqa7QA83V66Is2vWo0uRB88sknGl8ITKGXgLaM8T4y1feursr26im5DXMBwAEU13aUJfYcquB9deHCBQBAq1atTCaJUafkHJMnT1a7Xl37IX30fNPms6bux0rZ92Bt+rFi6Ne3MiabyLRs2RKurq5ISEgQl2VnZyMxMRE9e/bUyzlMuYulqahtr9Ewbze1j2eDi+/MPxscVOE2pWkz/4smbRfWr1+v0YVAqvMPGeN9ZMrv3aouaFV2sYYWSQyg9n114sQJvPbaawCANWvWmFYSo65GCcCEJzUy8PMT15+QyTCge3e0z85WqbXyat0asUqlykXO7MkjVqmEp5eXyjnK0uazVtFrVfo9qM1rJYVRnqs7B5Y+v8uMmsjk5uYiOTkZycnJAIob+CYnJ+PWrVuQyWSYNm0aYmJisGfPHpw/fx5jxoyBm5sbXnrpJWOGXavpY4yKki/pqu5jS52mvWqqqokBgMmTJ2tUE2MqvQRId1Vd0KrsnQQtkxig3O2mkot/q7w8AIBdnz7qb1kZuyambDnKOAFgAID2APajfK1VMAAfAJZPno9Bcc+pUDXnKJ1UavNZ03eNK/DvqMmmnMgAuvcs1Pd3mVETmVOnTsHX1xe+vr4AgOnTp8PX1xdz584FAMyaNQsRERF49dVX0bVrV+Tm5mL//v0cQ6aG6KN7Z+kvt6ruY9cGmvSqqey1quqef2mm1EuAdFedJAb4t0FsFtQnMUDxRV9A1Rf/NWrWqyRKVbW7ATAnOlptolRd1U1iSspxHUDJT6oIAKU/oRXVWmn6WdO0t5imNa5SpEvPQn1/lxk1kQkICIAgCOUeJVVLMpkMCxcuRGZmJh4/fowff/wRrVu3NmbItVZVX6B5eXnVrmYue466orLXqqp7/qWZUi8B0l11kpjqKnvxL9tzSKfangrOUV2VJWN4ElsWipO6qtoPqfvZVFk5NPmsaVoTA2hW41qX6Pu7zGTbyJBhVfUFOmXKFL0mMXV5Yjhda61MqZcA6U6n20lqbvPqorKLP1B1bY82tSTGVN1aKysrKyiVSrX7yWQyuLm5/ZvEVFJrJda4rl9fI7VWUqXv7zImMhJR0z1VKquJAYDr16/rnMRcuHBB4yTmHu7hBIpvqZzACdzDveoUS2MKAPOe/F/vKqiSHxEdjdVPuoCu9vNDqpqGi6UZe/4h0pMK2quUbaxatr2KvqUCWP3k36ufPK+Mtrd6aoIhPqcnZDJ8tWVLhZsJRUU4uGLFv13e1WxT8lqpr2/VX61VWbpeJwzdE1Lf32VMZCTAED1VKvoVOGXKFADAunXrdG7wV9kYFaWdwRmswRqcxVkAwFmcxRqswRmc0bVYGlMAmI8a+oJ8ovSFoAkAbwBbn6zb+uR5X1R8z7+6vQSo5mnb5VvTdh4X9BkkgDiof//FV7JPdW716EtNf05L/h4+KJ4DygyA+ZN15k+ee6C43Y0mt97K17fWXK2VrtcJY/SE1Pd3GRMZE2eonioVNey9fv06AKhtnKtJTQxQ8RgVpd3DPezBHghP/gMg/nsP9hisZqamlP5yG4HiLzgl/p08r+jJ88cA1qLiCwHnHzJt2nT51iaJOaDHGFNR8fsvDEBd7ftW9u8xCcU9nEKerH8FxQnOXVS//VBFtVba9AotTdfrhDF7Qurzu4yJjIkzRk+V0o3Y1q1bp3YbTdrEVDVGRWlV1boYolamKhV1Rx83bhyAfxO3ssp+uW1C8QzA6pgD+F8VcXD+IenTNonR58xJlb3/ZCiepbouUlej5Inink4AMB3Aaeje7qaic5TQtldoabpeJ4zdE1Jf32UW+gyK9M9gPVWevJnLfoFajB1bvL7UcN6lL8ztXg7DzhTVX5+p585g4fhX4Ny0OfJSLiPxz0f4s9Q2f+fmYtHE/2IkBonLHuJhpeFVtd4QdK61guovtDQA6v+ixcvT9BItmSpjJjEA33+mqLqDD2pznZDL5eI5aktPSNbImDhD9lTRpetl2dFvm3q7YfHwF9AmNwe9Uy4DAC4GB6HDk/UDvN2wrktrZJw5pXLc+qhfaWxVrTc0rWqtoPoLzR2V/yJ2LzmHHuJUN8Bh6VFDNanKBjRvDKhrrVVlDD3KaU03fKxuz6Hqcodm77+aUqMNdqVG2/myUGrcnlK0uU6UTpS02a+y7wdjYyJj4gzVU0Wf40c4AzgL4PMny0saEm5Axff8feFbaXxVrTeksr+eqmw/VGbdeFT+izgM//49qkow/Pz8Kh3mXl1vsZJRQ+3t7TUazEubxoC61lpVxpCjnEp1CghtaPL+q0mGaFgvFXr53j1xAqtXrxbbuJQlCAK+//578buk9Odc0+uLunGtTAkTGRNnqJ4qVX2YPoFmSUwrADehviHhZADnKjiHE5zwIl6E7Ml/AMR/v4gX4QSnapROf/Qx/4wXitshqOsREYvi+/Ilv8p1HWhLX6M0y2QyhIWFVdgY0MHBodLpLDSttaqOqmqUPvnkE40m6qsrU0Bo8v4jw9BHEjNgwAD4+Phg/fr1aq8THh4eFQ6f4eXlhSFDhgCAWDNT9voihdHYmchIgCF6qlR1P349NGuJ/wwqrrYGgGGVnMMXvpiCKfCBDwDABz6YgikmUxujz0n0QqHaIyIE5eeAASoeFbiqqQ30NdXE008/DTMz9V8TSqUScrlco3NUVWtVHfoaHt7YDR8NKRSavf+oZukjiSn5nE+aNEnlOvHKK6/Ax8cHd+/eVf18lLlltWvXLkwDMPZJzUxIURFSlEqEjhtX6bhWpoSJjETUdE+VympigOLaFE26E6aj4mprMwAFVcThBCd0exJJN3QzmZoYABXfx37SEPoTPz/1889UoHSPiLJzwFRE06kN9DVfVpMmTSqsegaAHj16GH3WZH0ND19bGj5qSpf3H+lXdXpAqRtE0dPLCxFPboOe37YN18+cKf999UTpRGklyr8XqmqUbkrYa4kAVPyLYP2Tf1c1sFPJG90dxm1IWJUFmK/zvhcwX23Cp0BxTVRltVb6UPri//zzz4u1MiX0ncTMmTMHUVFRFdZSmJubw8vLq9rnqC5da63K7qdtw3pOyyEdtbGBcUUJRt6T/18H8BP0M95NVe9cXRrkl3w+KuqwkpOTo3G7nDpbI2PoIZmlaAT+rWpWN4S5ut4Xxm5IWJMqqrWKBXAQNZPE7EzJwM6UDPx32puIjo7GyKmz0O7lMPyU9icA4Ke0P7EzJQPv7vgWz/TrD0Wr1njtw3gcSM9VO8y9Rj0jSl2YtWlsXlESU/qzNmHCBL0mMeqUJBi+vsW3JMt+vitquKhNWfU5LQfVPGM0MNZ2CghtVdR1f8qTf6+DbknMBWhfE6Ntg/zSSf6aNeXnYC/5Lrl8+bJGx6uTiUxd6JlQXboMYQ7U7oaEuv6yqY5h3m645O2Gzz5YhkUAtn+wDMO83fBscBAA4NngILHLe6fcHJw8cwqjurTGMG838Rha94wodWEu3di8hJmZWbnG5mISUyZRipPJ4N26NbY++WydOXMGMgBNS9960+PkeSUJhkwmw7lz5wCofr5Lf4GWbaDs5eWFtWvXqixT17Ben9NyUO2k6/enNirquh/35N8VNc2t6pZVe1Q+aJ+mIw9r2pvSzk51DvbSP4h2795dQZSq6tytpdI9E0qU9FAICwtD79696+RIqaVvudzDPazBGnGqAODfHkjjIcNpTBHbrsxTc6smFEBvAO+g+IMbAuBtSDuJUUfT6tmsGjzHBRTf067O4GrlzlEmsWgHoB4AWwB/AhijVBb/PceNA8aNq/AcpYfCL62kZq439PSeeBJvSTlkKK5BKd3zCADCxo1DPQAdgeJ2BWpuvW3duhX29vbo27cv9u3bh5CQELz99tsaJzFVTcuRk5Nj0m0NqPrUve9Lvj/1+r43gureNtb29re3t7dGcdW5REaTnglLliwxcFRVq6qbqrp7/rrSZLqA/uhf6TYlDQnjUTsbEmpzj7mydjnpSAfwMT7Cq3CDW7n18zG/0ltWr6F4/he9JTEVlKMjgKUA+kD171nZOTQZCn/Jk3NU951bUo6nARzDvxeO0pQA5KjgtSr1BZqQkAALCwvs27dPpWG9PqblCAoKwtFqlZRMnabveynSOYmRyVTb3ZQ0UC4lz89P9buke3dkaxhXnbu1JMWeCZr2VNEXKUwXYGzazKlSHRUlGJkArAC0Rc0nMSW1PXZl1ld1jjSUr40pUTIUfsk5qqPsrOIV97ECeqD6c9zMmTOnXPuikm6qrfKKm1ra9elTYRslkhZtGwqnofZOAaHVyMOlPx+ouN2NAsBsFM9lpeu0HHWuRsaQQ/7rgzY9VSqTkZGBjz76CP/3f/9XZYMsbaYLqE5tA1WtogRjJIAuqDyJqSqJmlPB8UvOUd35gP5AxV/oMhQnYiXnqI7SyVgUKp+Q06vMMn30sir9WpXUWqmcAzUzizUZRklDYU25w7R7blZHTfSAsgfwM4Cr0H1usTpXI2OoIf+rpaIst2TiRj8/lV+BmgxWlJGRgQULFiAjI6PS7QBpTRdQF2k6V4+uqvriyYNmtT1HUPEXugBgZ6lzVEfpL1Btes1V2pNLw7GBSr9Wa1B8WwH4t5dKTU8ASaanNvfcVKc6M34D+plbrM4lMoYa8r+69N3PXxtSmS6AakZVXzx2qPqLp+TLbRMq7sGWU8k5tFH681G611wJM5TvNadpgqHpiNajUVxDVraXSmcNzkG1S23uuWmq6lwiAxhmyP/qqIl+/toy9ekCSBpCYfih8EvOWXKOMWrO6YCq5xYDNBvReg2Kx+5QN7/YNRQnc0xi6pZQcAoIQ6qTiQxQ80P+V0dFSYwCxd36wmGYYaONNV2AAxzQF33hUAc6qtaFsmo6FL4+xqjQ5pyV3RarakTr0rVWX6DydjmnKo3UuGrjiLemwlhTQOj6N5Xye6HONfaVgoruryoAbHzyqM0c4IBn8IyxwzCIulTWyhhlagM1y0pqQyfj32SmNHVjA6VBur1UtG3ISqZP17+plN8LdbZGhohMh6GTGHVK39Ktam6x0txRe3upEEkBExkiMjpjJzGA7mMD1bVeKkSmhreWapGKRvfVZFRgqlp1Zs42Bl3jVTftRHXPWdWYQgey5xd3fy5DpeF7dDRQ5n2sj1GBq6ukl0oYimtgilDcNkYAe6kQGQJrZGqRypIYQ40KXFpdaMhal9RkY8DqDLRVE7QtayjYS4XIWOpcjUzpRoWrV69Wu03Jxb+yoc6lQKtRgWtg5HQ2ZK0+Y9QCVXZOGYCPDRCDPuayqqoWqLKaJ10aPtb2+cWITFXdqZGRy8uN5Nl+7NjidU9Gyi07mq6UaTsLKZGp0HYwSCKq2+pMjUwOgOFQHQTrdJltqvoCNXlPhk6vtF2Bn18Fs5DON3CwROpVNgcU8G+jWyIioA4lMurmnyl7H7yqL1ApUJeMpaJ47hcAmAvgEAAfaDagHtu5kD4Y433E9y4Zm5QHmZOSOpPIqCPlAYDUUZfExKF4TIyScS72Pfl/CDQbFZjtXEgfjPE+MtX3rjF6k5Fx1LZrjKmqO21k6gB1NTEToDoHTIlwFM8DQ0REJGV1ukamtinby2oTKh9xNBbAkhqNiMh0VadHGGtHiEwHa2RqsTRIdw4YIiIiTTCRqcXcwTlgiAyJjTuJDI+3lmqx8QCWVbCOc8AQ6c4UBg00dbx1R4bCRKYW4xwwJBVSm8fKGJgYEKnHRKYWqeiLLhz3cARHkIxkdEAnPI2n8RucsMCw4REREekd28jUAU5wQrcn0/J1Qzc4wcnIEREREekHa2SIiIh0xFt+xsdExgSxvQARkfaYVNRNTGSIiIjqiNqY7DGRISKq5Ti/U9WMURNeG5MKY2AiU4na9CbjTMBEJBW8vV676Pr3fIzHAJZWuR0TmRpiah9EU50JmIiIqDqYyBARkVqm9oOM/sW/zb+YyBAREVGVTDV5ksSAeGvXroW7uztsbGzQvXt3nDhxwtghERERkQkw+RqZ//3vf5g+fTo2bNiA7t27Y9WqVQgMDERKSgoaN26s8XGWYDZsYFODkRIREZGhmXyNzIoVKzBx4kSMGzcO7dq1w4YNG1CvXj1s2rTJ2KERERGRkZl0jUxBQQGSkpIQFRUlLjMzM0P//v1x/Phxtfvk5+cjPz9ffJ6VlVW8HPlqtyciIiLTU3LdFgSh0u1MOpH566+/UFRUBBcXF5XlLi4uuHLlitp9lixZggULys/rvBIrayRGIiIiqjk5OTmQy+UVrjfpREYXUVFRmD59uvj84cOHaNGiBW7dulXpCyF12dnZaNasGW7fvg1HR0djh1Oj6kpZWc7ap66UleWsfYxRVkEQkJOTAzc3t0q3M+lEplGjRjA3N8edO3dUlt+5cweurq5q97G2toa1tXW55XK5vNa/0QDA0dGxTpQTqDtlZTlrn7pSVpaz9jF0WTWpgDDpxr5WVlbw8/NDQkKCuEypVCIhIQE9e/Y0YmRERERkCky6RgYApk+fjrFjx6JLly7o1q0bVq1ahby8PIwbN87YoREREZGRmXwiM2LECPz555+YO3cuMjMz0alTJ+zfv79cA+CKWFtbY968eWpvN9UmdaWcQN0pK8tZ+9SVsrKctY8pl1UmVNWviYiIiMhEmXQbGSIiIqLKMJEhIiIiyWIiQ0RERJLFRIaIiIgkq1YkMkVFRYiOjkbLli1ha2uLVq1aYdGiRSrzMwiCgLlz50KhUMDW1hb9+/dHamqqEaPWzM8//4zBgwfDzc0NMpkMu3fvVlmvSbnu37+PUaNGwdHREfXr10dYWBhyc3MNWIqqVVbOwsJCvPnmm+jQoQPs7Ozg5uaGMWPGID09XeUYUi9nWZMmTYJMJsOqVatUlkuhnIBmZb18+TJefPFFyOVy2NnZoWvXrrh165a4/vHjxwgPD4eTkxPs7e0RHBxcboBMY6uqnLm5uZgyZQqaNm0KW1tbcfLb0qRQziVLlqBr165wcHBA48aN8dJLLyElJUVlG03KcevWLbzwwguoV68eGjdujJkzZ+Kff/4xZFEqVVU579+/j4iICLRp0wa2trZo3rw5Xn/9dXFevxKmXk5As79pCUEQMHDgQLXvcWOXtVYkMu+++y7Wr1+PNWvW4PLly3j33XexbNkyrF69Wtxm2bJl+PDDD7FhwwYkJibCzs4OgYGBePz4sREjr1peXh58fHywdu1ates1KdeoUaNw8eJFHDhwAHv37sXPP/+MV1991VBF0Ehl5Xz06BFOnz6N6OhonD59Gjt37kRKSgpefPFFle2kXs7Sdu3ahV9//VXt0NxSKCdQdVmvX7+O3r17w9vbG4cOHcK5c+cQHR0NGxsbcZvIyEh888032LFjBw4fPoz09HQMGzbMUEXQSFXlnD59Ovbv349PP/0Uly9fxrRp0zBlyhTs2bNH3EYK5Tx8+DDCw8Px66+/4sCBAygsLMRzzz2HvLw8cZuqylFUVIQXXngBBQUFOHbsGDZv3oz4+HjMnTvXGEVSq6pypqenIz09He+//z4uXLiA+Ph47N+/H2FhYeIxpFBOQLO/aYlVq1ZBJpOVW24SZRVqgRdeeEEYP368yrJhw4YJo0aNEgRBEJRKpeDq6iq899574vqHDx8K1tbWwmeffWbQWKsDgLBr1y7xuSblunTpkgBAOHnypLjNd999J8hkMuGPP/4wWOzaKFtOdU6cOCEAEH777TdBEGpXOX///XehSZMmwoULF4QWLVoIK1euFNdJsZyCoL6sI0aMEEaPHl3hPg8fPhQsLS2FHTt2iMsuX74sABCOHz9eU6FWi7pyPvXUU8LChQtVlnXu3Fl4++23BUGQZjkFQRDu3r0rABAOHz4sCIJm5fj2228FMzMzITMzU9xm/fr1gqOjo5Cfn2/YAmiobDnV+eKLLwQrKyuhsLBQEARpllMQKi7rmTNnhCZNmggZGRnl3uOmUNZaUSPTq1cvJCQk4OrVqwCAs2fP4pdffsHAgQMBADdv3kRmZib69+8v7iOXy9G9e3ccP37cKDHrgyblOn78OOrXr48uXbqI2/Tv3x9mZmZITEw0eMz6kpWVBZlMhvr16wOoPeVUKpUICQnBzJkz8dRTT5VbX5vKuW/fPrRu3RqBgYFo3LgxunfvrlJlnZSUhMLCQpX3t7e3N5o3by6pz22vXr2wZ88e/PHHHxAEAQcPHsTVq1fx3HPPAZBuOUtupTRs2BCAZuU4fvw4OnTooDKgaWBgILKzs3Hx4kUDRq+5suWsaBtHR0dYWBSPMSvFcgLqy/ro0SP897//xdq1a9XOcWgKZa0Viczs2bPxyiuvwNvbG5aWlvD19cW0adMwatQoAEBmZiYAlBsN2MXFRVwnRZqUKzMzE40bN1ZZb2FhgYYNG0q27I8fP8abb76JkSNHipOX1ZZyvvvuu7CwsMDrr7+udn1tKefdu3eRm5uLpUuXIigoCD/88AOGDh2KYcOG4fDhwwCKy2plZSUmqyWk9rldvXo12rVrh6ZNm8LKygpBQUFYu3Yt+vTpA0Ca5VQqlZg2bRr8/f3Rvn17AJqVIzMzU+33Vck6U6OunGX99ddfWLRokcrtXamVE6i4rJGRkejVqxeGDBmidj9TKKvJT1GgiS+++ALbtm3D9u3b8dRTTyE5ORnTpk2Dm5sbxo4da+zwSI8KCwsxfPhwCIKA9evXGzscvUpKSsIHH3yA06dPq70XXZsolUoAwJAhQxAZGQkA6NSpE44dO4YNGzagb9++xgxPr1avXo1ff/0Ve/bsQYsWLfDzzz8jPDwcbm5uKrUXUhIeHo4LFy7gl19+MXYoNaqqcmZnZ+OFF15Au3btMH/+fMMGp2fqyrpnzx789NNPOHPmjBEjq1qtqJGZOXOmWCvToUMHhISEIDIyEkuWLAEAsTqsbOv5O3fuqK0qkwpNyuXq6oq7d++qrP/nn39w//59yZW9JIn57bffcODAAZWp5GtDOY8cOYK7d++iefPmsLCwgIWFBX777Te88cYbcHd3B1A7ygkAjRo1goWFBdq1a6eyvG3btmKvJVdXVxQUFODhw4cq20jpc/v333/jrbfewooVKzB48GB07NgRU6ZMwYgRI/D+++8DkF45p0yZgr179+LgwYNo2rSpuFyTcri6uqr9vipZZ0oqKmeJnJwcBAUFwcHBAbt27YKlpaW4TkrlBCou608//YTr16+jfv364ncSAAQHByMgIACAaZS1ViQyjx49gpmZalHMzc3FX30tW7aEq6srEhISxPXZ2dlITExEz549DRqrPmlSrp49e+Lhw4dISkoSt/npp5+gVCrRvXt3g8esq5IkJjU1FT/++COcnJxU1teGcoaEhODcuXNITk4WH25ubpg5cya+//57ALWjnABgZWWFrl27luvqefXqVbRo0QIA4OfnB0tLS5X3d0pKCm7duiWZz21hYSEKCwsr/X6SSjkFQcCUKVOwa9cu/PTTT2jZsqXKek3K0bNnT5w/f14lGS/5UVI2qTWWqsoJFH/PPvfcc7CyssKePXtUetoB0ignUHVZZ8+eXe47CQBWrlyJuLg4ACZSVoM0Ka5hY8eOFZo0aSLs3btXuHnzprBz506hUaNGwqxZs8Rtli5dKtSvX1/4+uuvhXPnzglDhgwRWrZsKfz9999GjLxqOTk5wpkzZ4QzZ84IAIQVK1YIZ86cEXvraFKuoKAgwdfXV0hMTBR++eUXwcvLSxg5cqSxiqRWZeUsKCgQXnzxRaFp06ZCcnKykJGRIT5Kt4qXejnVKdtrSRCkUU5BqLqsO3fuFCwtLYWPP/5YSE1NFVavXi2Ym5sLR44cEY8xadIkoXnz5sJPP/0knDp1SujZs6fQs2dPYxVJrarK2bdvX+Gpp54SDh48KNy4cUOIi4sTbGxshHXr1onHkEI5J0+eLMjlcuHQoUMqn8FHjx6J21RVjn/++Udo37698NxzzwnJycnC/v37BWdnZyEqKsoYRVKrqnJmZWUJ3bt3Fzp06CBcu3ZNZZt//vlHEARplFMQNPubloUyvZZMoay1IpHJzs4Wpk6dKjRv3lywsbERPDw8hLffflvlIqdUKoXo6GjBxcVFsLa2Fvr16yekpKQYMWrNHDx4UABQ7jF27FhBEDQr171794SRI0cK9vb2gqOjozBu3DghJyfHCKWpWGXlvHnzptp1AISDBw+Kx5B6OdVRl8hIoZyCoFlZY2NjBU9PT8HGxkbw8fERdu/erXKMv//+W3jttdeEBg0aCPXq1ROGDh0qZGRkGLgklauqnBkZGUJoaKjg5uYm2NjYCG3atBGWL18uKJVK8RhSKGdFn8G4uDhxG03KkZaWJgwcOFCwtbUVGjVqJLzxxhtit2VTUFU5K/p7AxBu3rwpHsfUyykImv1N1e1TdogBY5dV9iQwIiIiIsmpFW1kiIiIqG5iIkNERESSxUSGiIiIJIuJDBEREUkWExkiIiKSLCYyREREJFlMZIiIiEiymMgQERGRZDGRISIiIsliIkNERESSxUSGiCQjICAAMpkMMplMnInXGEJDQ8U4du/ebbQ4iIiJDBFJzMSJE5GRkYH27duLyzIzMzF16lR4enrCxsYGLi4u8Pf3x/r16/Ho0SONjz148GAEBQWpXXfkyBHIZDKcO3cOH3zwATIyMqpdFiKqPgtjB0BEpI169erB1dVVfH7jxg34+/ujfv36WLx4MTp06ABra2ucP38eH3/8MZo0aYIXX3xRo2OHhYUhODgYv//+O5o2baqyLi4uDl26dEHHjh0BAHK5XH+FIiKdsUaGiKolICAAERERmDZtGho0aAAXFxds3LgReXl5GDduHBwcHODp6YnvvvuuRs7/2muvwcLCAqdOncLw4cPRtm1beHh4YMiQIdi3bx8GDx4sbqtUKrFkyRK0bNkStra28PHxwZdffimuHzRoEJydnREfH69yjtzcXOzYsQNhYWE1UgYi0h0TGSKqts2bN6NRo0Y4ceIEIiIiMHnyZLz88svo1asXTp8+jeeeew4hISFa3ebRxL179/DDDz8gPDwcdnZ2areRyWTiv5csWYItW7Zgw4YNuHjxIiIjIzF69GgcPnwYAGBhYYExY8YgPj4egiCI++3YsQNFRUUYOXKkXuMnoupjIkNE1ebj44M5c+bAy8sLUVFRsLGxQaNGjTBx4kR4eXlh7ty5uHfvHs6dOyfu8+jRI7Ro0QIzZswAAKSlpaFLly5anffatWsQBAFt2rRRWd6oUSPY29vD3t4eb775JgAgPz8fixcvxqZNmxAYGAgPDw+EhoZi9OjR+Oijj8R9x48fj+vXr4vJDVB8Wyk4OJi3k4hMENvIEFG1lbQbAQBzc3M4OTmhQ4cO4jIXFxcAwN27d8Vl77zzDnr06FEj8Zw4cQJKpRKjRo1Cfn4+gOKk59GjRxgwYIDKtgUFBfD19RWfe3t7o1evXti0aRMCAgJw7do1HDlyBAsXLqyRWImoepjIEFG1WVpaqjyXyWQqy0pu7yiVSgBAamoqrly5gsGDB+PChQs6n9fT0xMymQwpKSkqyz08PAAAtra24rLc3FwAwL59+9CkSROV7a2trVWeh4WFISIiAmvXrkVcXBxatWqFvn376hwnEdUc3loiIoObMWMGlixZUu3jODk5YcCAAVizZg3y8vIq3bZdu3awtrbGrVu34OnpqfJo1qyZyrbDhw+HmZkZtm/fji1btmD8+PEqbW2IyHSwRoaIDOrrr79G69at0bp1axw7dqzax1u3bh38/f3RpUsXzJ8/Hx07doSZmRlOnjyJK1euwM/PDwDg4OCAGTNmIDIyEkqlEr1790ZWVhaOHj0KR0dHjB07Vjymvb09RowYgaioKGRnZyM0NLTacRJRzWAiQ0QG9euvv+Lzzz/Hjh07kJubi8LCQjg6OmLMmDE6Ha9Vq1Y4c+YMFi9ejKioKPz++++wtrZGu3btMGPGDLz22mvitosWLYKzszOWLFmCGzduoH79+ujcuTPeeuutcscNCwtDbGwsnn/+ebi5uelcXiKqWTKhdB9DIiIDio+Px4ULF/D+++8jLS0N//nPf3Dq1KkKtw8ICECnTp2watUqwwVZCZlMhl27duGll14ydihEdRbbyBCRpKxbtw729vY4f/680WKYNGkS7O3tjXZ+IvoXa2SISDL++OMP/P333wCA5s2bw8rKyihx3L17F9nZ2QAAhUJR4WB8RFTzmMgQERGRZPHWEhEREUkWExkiIiKSLCYyREREJFlMZIiIiEiymMgQERGRZDGRISIiIsliIkNERESSxUSGiIiIJIuJDBEREUnW/wOBN9wYZBXRbAAAAABJRU5ErkJggg==\n",
+ "image/png": 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",
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