diff --git a/.devcontainer.json b/.devcontainer.json index fbf89ac..8d6dd19 100644 --- a/.devcontainer.json +++ b/.devcontainer.json @@ -3,7 +3,7 @@ "customizations": { "codespaces": { "openFiles": [ - "TdH2.ipynb" + "notebooks/TdH2.ipynb" ] }, "vscode": { diff --git a/.github/workflows/tdb2mhdb.yaml b/.github/workflows/tdb2mhdb.yaml index c96209e..3f1d414 100644 --- a/.github/workflows/tdb2mhdb.yaml +++ b/.github/workflows/tdb2mhdb.yaml @@ -235,7 +235,7 @@ jobs: const commit_hash = full_commit_hash.substring(0, 8); let message = `🚀 All Done! The confirmation hash of your contribution is: [${commit_hash}](https://mhdb.mat-x.org/${commit_hash}).\n\n`; - message += `Your submission is now completed and all entries found in your TDB file(s) were added to MHDB-community. Please refer to \`NewData.ipynb\` for further instructions on how to access the database.\n`; + message += `Your submission is now completed and all entries found in your TDB file(s) were added to MHDB-community. Please refer to [\`NewData.ipynb\`](https://github.com/PhasesResearchLab/MHDB/blob/main/notebooks/NewData.ipynb) for further instructions on how to access the database.\n`; message += `Here\'s a summary of all files and entries processed:\n`; message += fs.readFileSync('MHDB.log', 'utf8'); diff --git a/.gitignore b/.gitignore index f581af9..dfe362b 100644 --- a/.gitignore +++ b/.gitignore @@ -1,4 +1,5 @@ /local/ +/mhdb/aux/ *.pyc **/__pycache__ runner* \ No newline at end of file diff --git a/assets/MHDB.png b/assets/MHDB.png index f910dcc..efdd2e1 100644 Binary files a/assets/MHDB.png and b/assets/MHDB.png differ diff --git a/mhdb/core/mongo.py b/mhdb/core/mongo.py index 4066aea..fe1be4d 100644 --- a/mhdb/core/mongo.py +++ b/mhdb/core/mongo.py @@ -1,9 +1,15 @@ -from mhdb.core import parseTDB +from mhdb.core import parsing from pycalphad import Database, calculate from pymatgen.core import Composition import datetime, re from pprint import pprint +def queryTDB(collection, elements): + regex_pattern = '^(' + '|'.join(elements) + ')(-(' + '|'.join(elements) + '))*$' + data_collection = collection.find({'material.system': {'$regex': regex_pattern, '$options': 'i'}}, {'tdb': 1, '_id': 0}) + data_collection = [entry['tdb'] for entry in list(data_collection)] + return data_collection + def updateEntry(entry:dict, client_string:str, db:str, col:str): import dns.resolver dns.resolver.default_resolver=dns.resolver.Resolver(configure=False) @@ -55,7 +61,7 @@ def TDBEntryGenerator(data:dict, client_string:str, db:str, col:str): 'phaseModel': phaseModel } - dbf = Database(parseTDB.one2tdb(data)) + dbf = Database(parsing.one2tdb(data)) try: SER = round(calculate(dbf, elements + ['VA'], parentDatabaseID.split(':')[0], P=101325, T=298.15).GM.values[0][0][0][0], 4) @@ -151,7 +157,7 @@ def DFTEntryGenerator(data:dict, client_string:str, db:str, col:str): } pprint(tdb) - dbf = Database(parseTDB.one2tdb(tdb)) + dbf = Database(parsing.one2tdb(tdb)) try: SER = round(calculate(dbf, elements + ['VA'], phase_name, P=101325, T=298.15).GM.values[0][0][0][0], 4) diff --git a/mhdb/core/optimade.py b/mhdb/core/optimade.py deleted file mode 100644 index 9a739c6..0000000 --- a/mhdb/core/optimade.py +++ /dev/null @@ -1,81 +0,0 @@ -import operator -from functools import reduce -from pymatgen.core import Composition -from pymatgen.ext.optimade import OptimadeRester -from pymatgen.util.provenance import StructureNL -from pymatgen.symmetry.analyzer import SpacegroupAnalyzer -from pymatgen.analysis.phase_diagram import PhaseDiagram - -# Create OPTIMADE function to return a data_collection that can be looped calling DFTEntryGenerator -def callOPTIMADE(elements:list, providerNames:list=None, stabilityCriteria:float=0): - - providers = { - "https://optimade.materialsproject.org":[['_mp_stability', 'gga_gga+u_r2scan', 'energy_above_hull'], ["_mp_stability", "gga_gga+u", "formation_energy_per_atom"]], - "http://oqmd.org/optimade/":[['_oqmd_stability'], ['_oqmd_delta_e']], - "https://alexandria.icams.rub.de/pbesol/structures":[['_alexandria_hull_distance'],['_alexandria_formation_energy_per_atom']] - } - - if providerNames != None: - providers = {key: providers[key] for key in list(providerNames) if key in providers} - - all_results = {} - for provider, criteria in providers.items(): - results = OptimadeRester(provider, timeout=50).get_snls(nelements=len(elements), elements=elements, additional_response_fields=[criteria[0][0],criteria[1][0]]) - - # Exclude materials in dict based on a meta-stability criteria - if results.get(provider): - results[provider] = {key: value for key, value in results[provider].items() - if reduce(operator.getitem, [value.data['_optimade']] + providers[provider][0]) <= stabilityCriteria} #Implement alternative version using MPDD stability criteria and fecthing the data from OPTIMADE - - all_results = {**all_results, **results[provider]} - - from pymatgen.ext.matproj import MPRester - mpr = MPRester("YwQWgrlZJzwQ4TOVxHW1Kjh2GIADKI1R") - pd = PhaseDiagram(mpr.get_entries_in_chemsys(elements)) - - data_collection = [] - for materialID, structure in all_results.items(): - if isinstance(structure, StructureNL): - composition = structure.structure.composition - analyzer = SpacegroupAnalyzer(structure.structure) - space_group_number = analyzer.get_space_group_number() - wyckoffs = analyzer.get_symmetry_dataset()['wyckoffs'] - - label_dict = { - '2a229': 'BCC', - '4a225': 'FCC', - '2c194': 'HCP', - '4a4b225': 'Rocksalt', - '4a8c225': 'Fluorite', - '1a1b3c225': 'Perovskite', - '8a16d32e227': 'Spinel' - } - - structure_label = ''.join(f"{wyckoffs.count(element)}{element}" for element in set(wyckoffs)) + str(space_group_number) - structure_label = label_dict.get(structure_label, structure_label) - - formationReaction = str(pd.get_element_profile('H', Composition(composition.reduced_formula), comp_tol=1e-05)[-2]['reaction']) # Need to account for missing reactants in SSUB. In this case should loop until [-1]['reaction'] - - for provider in providers.keys(): - try: - structure_dict = structure.as_dict() - energy_above_hull = reduce(operator.getitem, ["about", "_optimade"] + providers[provider][0], structure_dict) - formation_energy_per_atom = reduce(operator.getitem, ["about", "_optimade"] + providers[provider][1], structure_dict) - except: - pass - - data_collection.append({ - 'parentDatabase': structure.as_dict()["about"]["history"][0]["name"].upper(), - 'parentDatabaseID': materialID, - 'parentDatabaseURL': materialID, - 'reducedFormula': composition.formula, - 'totalAtoms': Composition(composition.reduced_formula).num_atoms, - 'elements': elements, - 'structureLabel': structure_label, - 'formationReaction': formationReaction, - 'formationEnthalpy': formation_energy_per_atom, - 'energyAboveHull': energy_above_hull, - 'structure': structure.as_dict() - }) - - return data_collection \ No newline at end of file diff --git a/mhdb/core/parseTDB.py b/mhdb/core/parsing.py similarity index 98% rename from mhdb/core/parseTDB.py rename to mhdb/core/parsing.py index 3c6b915..670b000 100644 --- a/mhdb/core/parseTDB.py +++ b/mhdb/core/parsing.py @@ -2,6 +2,11 @@ from pprint import pprint import re, json, os, datetime +def many2tdb(elements, data_collection): + data = many2one(elements, data_collection) + data = one2tdb(data) + return data + def tdb2one(file_path:str): fd = open(file_path if '.tdb' in file_path.lower() else file_path + '.tdb', 'r') diff --git a/notebooks/NewData.ipynb b/notebooks/NewData.ipynb index 6e35525..645f0c6 100644 --- a/notebooks/NewData.ipynb +++ b/notebooks/NewData.ipynb @@ -18,16 +18,16 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import os, sys\n", - "sys.path.insert(0, '../mhdb')\n", + "sys.path.insert(0, '..')\n", "\n", "from pycalphad import Database, equilibrium, variables as v\n", "from pymongo import MongoClient\n", - "from core import database, mongo\n", + "from mhdb.core import mongo, parsing\n", "import matplotlib.pyplot as plt\n", "\n", "client_string = os.getenv('MONGODB_URI')\n", @@ -46,7 +46,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -55,8 +55,8 @@ "text": [ "The MHDB-community currently has 1 contributions. \n", "\n", - "[1] The `Replace with the title of the tdb.` | `Replace with the author(s) of the tdb.` | `Replace with the year or version of the tdb.` | `Replace with the DOI of the tdb or of a publication. If left blank, no reference is added to the database.` supports 10 hydride systems:\n", - "{'LANI5H1-X', 'NiH', 'LAHX', 'FCC', 'Ni2H', 'La0.076923Ni0.384615H0.538462', 'LaH', 'LaNi5H', 'La2H', 'La0.25H0.75'} \n", + "[1] The Zr-H.tdb (Ricardo Amaral, 2024) supports 2 hydride systems:\n", + "{'ZrH', 'ZrH2'} \n", "\n" ] } @@ -80,7 +80,7 @@ " if 'H' in system.split('-') and len(system) != 1:\n", " systems.append(entry['material']['endmembers'])\n", "\n", - " print(f'[{i+1}] The {reference} supports {len(set(systems))} hydride systems:')\n", + " print(f'[{i+1}] The {reference.split(' | ')[0]} ({', '.join(reference.split(' | ')[1:])}) supports {len(set(systems))} hydride systems:')\n", " print(set(systems), '\\n')" ] }, @@ -90,19 +90,18 @@ "source": [ "### Defining your system\n", "\n", - "Now that we have access to all MHDB-community contributions we can define our system and run our calculations. We start by defining from which contribution we are retrieving our system's data and the hydride composition we are interested in. In this example, we are considering the `La-Ni-H_Ya_stringexported.tdb` contribution and the La2H hydride." + "Now that we have access to all MHDB-community contributions we can define our system and run our calculations. We start by defining from which contribution we are retrieving our system's data and the hydride composition we are interested in. In this example, we are considering the `Zr-H.tdb` contribution and the ZrH2 hydride." ] }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ - " # INPUT(1): TDB reference and Chemical composition of metal hydride\n", - "tdb_reference = 'La-Ni-H_Ya.tdb'\n", + "tdb_reference = 'Zr-H.tdb' # INPUT(1): TDB reference and Chemical composition of metal hydride\n", "\n", - "chemical_composition = {'La': 1/3}" + "chemical_composition = {'Zr': 1/3}" ] }, { @@ -114,29 +113,27 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Data for the following phases were successfully retrieved: ['GAS', 'LIQUID', 'BCC', 'DHCP', 'FCC', 'LAHX']\n" + "Data for the following phases were successfully retrieved: ['GAS', 'ZR_L', 'ZR_S', 'ZR_S2', 'H1ZR1_S', 'H2ZR1_S']\n" ] } ], "source": [ "elements = list(chemical_composition.keys()) + ['H', 'Va']\n", - "regex_pattern = '^(' + '|'.join(elements) + ')(-(' + '|'.join(elements) + '))*$'\n", + "# regex_pattern = '^(' + '|'.join(elements) + ')(-(' + '|'.join(elements) + '))*$'\n", "\n", "data_collection = []\n", "for collection in collections:\n", - " data = collection.find({'$and': [{'material.system': {'$regex': regex_pattern, '$options': 'i'}}, {'metadata.parentDatabase': {'$regex': tdb_reference, '$options': 'i'}}]}, {'tdb': 1, '_id': 0})\n", - " data_collection.extend(entry['tdb'] for entry in data)\n", + " data_collection = mongo.queryTDB(collection, elements)\n", "\n", "try:\n", - " data = database.many2one(elements, data_collection)\n", - " data = database.one2tdb(data)\n", + " data = parsing.many2tdb(elements, data_collection)\n", "\n", " dbf = Database(data)\n", " phases = list(dbf.phases.keys())\n", @@ -155,7 +152,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -172,12 +169,12 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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" ] @@ -235,7 +232,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.2" + "version": "3.12.3" } }, "nbformat": 4, diff --git a/notebooks/TdH2.ipynb b/notebooks/TdH2.ipynb index 584fcc1..c249cd9 100644 --- a/notebooks/TdH2.ipynb +++ b/notebooks/TdH2.ipynb @@ -17,16 +17,16 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import os, sys\n", - "sys.path.insert(0, '../mhdb')\n", + "sys.path.insert(0, '..')\n", "\n", "from pycalphad import Database, equilibrium, variables as v\n", "from pymongo import MongoClient\n", - "from core import database, mongo\n", + "from mhdb.core import mongo, parsing\n", "import matplotlib.pyplot as plt\n", "\n", "client_string = os.getenv('MONGODB_URI')\n", @@ -76,12 +76,9 @@ ], "source": [ "elements = list(chemical_composition.keys()) + ['H', 'Va']\n", - "regex_pattern = '^(' + '|'.join(elements) + ')(-(' + '|'.join(elements) + '))*$'\n", - "data_collection = collection.find({'material.system': {'$regex': regex_pattern, '$options': 'i'}}, {'tdb': 1, '_id': 0})\n", - "data_collection = [entry['tdb'] for entry in list(data_collection)]\n", + "data_collection = mongo.queryTDB(collection, elements)\n", "\n", - "data = database.many2one(elements, data_collection)\n", - "data = database.one2tdb(data)\n", + "data = parsing.many2tdb(elements, data_collection)\n", "\n", "dbf = Database(data)\n", "phases = list(dbf.phases.keys())\n", @@ -119,7 +116,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -196,12 +193,9 @@ ], "source": [ "elements = list(chemical_composition.keys()) + ['H', 'Va']\n", - "regex_pattern = '^(' + '|'.join(elements) + ')(-(' + '|'.join(elements) + '))*$'\n", - "data_collection = collection.find({'material.system': {'$regex': regex_pattern, '$options': 'i'}}, {'tdb': 1, '_id': 0})\n", - "data_collection = [entry['tdb'] for entry in list(data_collection)]\n", + "data_collection = mongo.queryTDB(collection, elements)\n", "\n", - "data = database.many2one(elements, data_collection)\n", - "data = database.one2tdb(data)\n", + "data = parsing.many2tdb(elements, data_collection)\n", "\n", "dbf = Database(data)\n", "phases = list(dbf.phases.keys())\n", @@ -239,7 +233,7 @@ "outputs": [ { "data": { - "image/png": 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nzkAURdx3330W7f7+/igsLAQAjBw5Eu+99x6ys7OxYcMGaaHhF198ER07dsTChQulEu0ffvghnnnmGQQFBaFFixbo0KEDnnjiCcTHxzvwERJRlcp82FHVUg1ERERU85y7znMddPsbq0OHDiElJQUtWrSAXq8HAHz55Zdo3LixNPWuTZs2aNy4MdauXSvt17x5c5w4cQIHDhzASy+9hCtXrqBPnz54+eWX796DISIiIiJSCI44WeGmVePkjB6yndtWkZGREAQBv//+u0V748aNS47l5ia1rVy5Er/99hs0ZdaIMZlMWLFiBf7xj39IbSqVCm3btkXbtm0xduxYrF69GoMGDcJbb72FRo0aVfdhEZGtOMJERESkGEycrBAEwebpcnLy8/ND9+7dsWjRIrz++uuVXud0/PhxHD58GDt37oSvr6/UfvPmTXTu3BknTpxAy5YtK9y3efPmAIC8vDzHPwAiqpooMpEiIiKSkfIzArLZ4sWL0bFjR8TExGDatGl44IEHoFKp8PPPP+P3339HdHQ0VqxYgYceesiiEIRZ+/btsWLFCnz00Ud45pln0LFjR3To0AFBQUE4d+4cJk+ejKZNm6JZs2YyPDoiIiIiIvnwGicn0qRJExw7dgzdunXD5MmT0bp1a8TExGDhwoV44403MHXqVKxevRpPP/10hfs//fTTWL16NYqKitCjRw98//336NOnD5o2bYohQ4agWbNm2LZtm8UUPyK6S7gILhERkaz4DtjJBAcHY+HChVi4cGGF91+/fr3SfceNG4dx48YBAIYPH47hw4fXSIxERERERLUNR5yIiBTKokomR5yIiIhkxcSJiIiIiIjICiZORERKxSp6REREisHEiYioNuBUPSIiIlkxcSIiIiIiIrKCiRMRkVKxOAQREZFiMHEiIiIiIiKygokTEZFSlRlx4ngTERGRvJg4ERERERERWcHEiYhIqViOnIiISDGYODmJhIQECIIgffn5+aFnz5749ddfpW1mzZqFDh06wN3dHfXq1avwOKmpqejTpw88PDzg7++PUaNGoaioSLp/586dEAQBN2/eLLdvREQE5s+fL93+5JNPEBsbC29v70r3MdPr9WjTpg0EQUBKSopNj/n8+fN2bU9Uq7E4BBERkayYODmRnj17Ii0tDWlpadi+fTs0Gg169+4t3V9UVIT+/fvj1VdfrXB/o9GIxx9/HHl5edi7dy/Wrl2LDRs2YPz48dWKJz8/Hz179sSUKVOsbjtx4kSEhIRU6zxERERERDVNI3cA5Dg6nQ5BQUEAgKCgIEyaNAmdO3fGtWvXEBAQgOnTpwMAkpKSKtx/27ZtOHnyJC5evCglMR988AESEhIwa9YseHt72xXPmDFjAJSMUlXlhx9+wLZt27Bhwwb88MMPdp2DyLmxHDkREZFSMHGyRhQBQ74859a6V/sah9zcXKxZswaRkZHw8/OzaZ/9+/ejZcuWFiM/PXr0gF6vx5EjR9C1a9dqxVKVK1euYPjw4di4cSPc3d0dfnwiIiIiIkdg4mSNIR+YLdMUsimXARcPmzfftGkTPD09AQB5eXkIDg7Gpk2boFLZNiMzPT0dgYGBFm3169eHi4sL0tPTLdobNmxYbv/8fPsSTFEUkZCQgMTERMTExOD8+fN27U/k7Cw+N+GIExERkayYODmRrl27YsmSJQCAjIwMLF68GPHx8Th06BDCw8NtOoZQwQiXKIrl2vfs2QMvLy+LttjYWLviXbhwIbKzszF58mS79iMiIiIiutuYOFmjdS8Z+ZHr3Hbw8PBAZGSkdDs6Oho+Pj5Yvnw5Zs6caXX/oKAgHDx40KItMzMTBoOh3EhUo0aNylXm02js604//vgjDhw4AJ1OZ9EeExODgQMH4uOPP7breEROh+XIiYiIFIOJkzWCYNd0OSURBAEqlQoFBQU2bd++fXvMmjULaWlpCA4OBlBSMEKn0yE6Otrh8X388ccWCd3ly5fRo0cPrFu3Dm3btnX4+YhqNU7VIyIikhUTJyei1+ula5EyMzOxaNEi5Obmok+fPgBK1mjKyMhAamoqjEajtP5RZGQkPD09ERcXh+bNm2PQoEF4//33kZGRgTfeeAPDhw+3u6IeUHLNVHp6Os6cOQMAOH78OLy8vBAWFgZfX1+EhYVZbG++PqtJkyZo2LAhsrOzbTrPH3/8Ua6tefPmcHFxsTtmIiIiIqKKMHFyIlu2bJFGiry8vNCsWTOsX79euvbonXfewWeffSZtHxUVBQDYsWMHYmNjoVar8d///hcjRoxAx44d4ebmhoEDB2LevHnVimfp0qVSCXQA6Ny5MwBg1apVSEhIqNYxK/Lcc8+Vazt37hwiIiIcdg4iWQgsR05ERKQUTJycRFJSUqXrM9mzTVhYGDZt2lTp/bGxsRAreQN3e1W8adOmYdq0aVWer6yIiAjp2CaTya7tiYiIiIhqkm11qomI6O4rM+LEzwiIiIjkxcSJFGvs2LHw9vaGp6dnua/ExES5wyMiIiKiOoRT9UixpkyZgsmTJ1e4gG91ilUQ1TosR05ERKQYTJxIsQICAuDt7V1h4kRU93CuHhERkZz4jpSIiIiIiMgKJk5ERErFcuRERESKwcSJiIiIiIjuqqJiU61bVobXOBERKZRFaYha9uJCREQEAKIo4u/MAvyRnoM/ruTg9/Qc/JGejbPX8rDjjViE+rrLHaLNmDgREREREdEdEUURV3P0+OtaLk5fyZUSpD+v5CJXX1zhPn9eyal7idPNmzdRr149RxyKiIjMWI6ciIgUpqDIiLPXc3H2Wl7JV+nP567nVZogadUCmgR44r4gL9wX5IVmQV64L8gbIT6udzn6O2N34vTee+8hIiICzz77LABgwIAB2LBhA4KCgrB582a0bt3a4UGSdQkJCfjss8+k276+vmjbti3mzp2LBx54AAAwa9Ys/Pe//0VKSgpcXFxw8+bNcsdJTU3FyJEj8eOPP8LNzQ0DBw7EvHnz4OLiAgDYuXMnunbtiszMzHLJckREBMaMGYMxY8YAAD755BN8+eWXOHr0KHJycircx0yv16Ndu3b45ZdfcOzYMSlmazZs2IC5c+fi999/h8lkQlhYGHr27IkPPvjApv2Jag1O1SMiortAFEVczy3Cxcx8XMwwfxUgNSMfF27k4XJWYaX7qgQg1NcdkRZJkjca+XvARVP7SyvYnTgtW7YMq1evBgAkJycjOTkZP/zwA/79739jwoQJ2LZtm8ODJNv07NkTq1atAgCkp6fj7bffRu/evZGamgoAKCoqQv/+/dG+fXusWLGi3P5GoxGPP/44AgICsHfvXty4cQNDhgyBKIpYuHCh3fHk5+ejZ8+e6NmzJyZPnlzlthMnTkRISAh++eUXm4//v//9D8899xxmz56Nvn37QhAEnDx5Etu3b7c7ViIiIqK6wGgScS1Hj7SsAqRnFeLSzQL8nVlQkiBlliRJBQZjlceo565FY38PNA7wROMADzT290STAA+E+blDp1HfpUdy99mdOKWlpSE0NBQAsGnTJgwYMABxcXGIiIhAu3btHB4g2U6n0yEoKAgAEBQUhEmTJqFz5864du0aAgICMH36dABAUlJShftv27YNJ0+exMWLFxESEgIA+OCDD5CQkIBZs2bB29vbrnjMI087d+6scrsffvgB27Ztw4YNG/DDDz/YfPxNmzbhkUcewYQJE6S2pk2bol+/fnbFSaRYLEdORER2KDQYcS1Hj6s5eqRnFSItqwBpWYXSz+lZhbiSo4fRVPVriiAAwd6uaOjrjtD67gjzdUeorxvC/dzR2N8T9T1c7tIjUha7E6f69evj4sWLCA0NxZYtWzBz5kwAJcN6RmPV2WltJIoiCooLZDm3m8YNQjWvccjNzcWaNWsQGRkJPz8/m/bZv38/WrZsKSVNANCjRw/o9XocOXIEXbt2rVYsVbly5QqGDx+OjRs3wt3dvosDg4KC8OWXX+LEiRNo2bKlw2MjIiIikpu+uCQZup5bhOs5elzL1d/6nqu3uC+nkmuMbqdWCQj00iHIxxXBPm5o6OuG0PruCPUtSZJC6rk69chRddmdOD311FMYOHAg7r33Xty4cQPx8fEAgJSUFERGRjo8QLkVFBeg3ZfyjKQdHHgQ7lrbk4lNmzbB09MTAJCXl4fg4GBs2rQJKpVtc0rT09MRGBho0Va/fn24uLggPT3dor1hw4bl9s/Pz7c5VqAkKU1ISEBiYiJiYmJw/vx5u/Z//fXXsWfPHrRq1Qrh4eF4+OGHERcXhxdeeAE6nc6uYxEpUpkPTmrbWhdERHTnfj6fgcErDlmdOleWi0aFAE8dgn1cEeTjipB6bgjydpVuB/u4IcBLB7WKBYjsZXfi9NFHHyEiIgIXL17E3LlzpTfqaWlpGDFihMMDJNt17doVS5YsAQBkZGRg8eLFiI+Px6FDhxAeHm7TMSoa4RJFsVz7nj174OXlZdEWGxtrV7wLFy5Edna21eufKuPh4YH//ve/+Ouvv7Bjxw4cOHAA48ePx4IFC7B//367R7CIiIiIlOTQuQwUGIzQqAQ08NLB30uHAE8d/D11CPDSwd/T5VabV0m7t6um2jOWqGp2J05arRZvvPFGuXbz9SzOxk3jhoMDD8p2bnt4eHhYjPpFR0fDx8cHy5cvl6ZUViUoKAgHD1o+1szMTBgMhnIjUY0aNSpXIU+jsa87/fjjjzhw4EC50aGYmBgMHDgQH3/8sU3HadKkCZo0aYKXX34Zb731Fpo2bYp169bhpZdesiseIsXhCx8RUZ1mKr0WqX9MQ8x5yraKw1RzqrWO0xdffIFly5bh7Nmz2L9/P8LDwzF//nw0atQITzzxhKNjlJUgCHZNl1MSQRCgUqlQUGDbNVrt27fHrFmzkJaWhuDgYAAlBSN0Oh2io6MdHt/HH39skdBdvnwZPXr0wLp169C2bdtqHTMiIgLu7u7Iy8tzVJhEREREsjDXcOAIkjLYnTgtWbIE77zzDsaMGYNZs2ZJBSHq1auH+fPnO13iVJvo9XrpWqTMzEwsWrQIubm56NOnD4CSNZoyMjKQmpoKo9GIlJQUAEBkZCQ8PT0RFxeH5s2bY9CgQXj//feRkZGBN954A8OHD7e7oh5Qcs1Ueno6zpw5AwA4fvw4vLy8EBYWBl9fX4SFhVlsb5722aRJEzRs2BDZ2dlVHn/atGnIz89Hr169EB4ejps3b+Ljjz+GwWBA9+7d7Y6XiIiISEmMpde3qpk4KYLdK1EtXLgQy5cvx1tvvQW1+la1jZiYGBw/ftyhwZF9tmzZguDgYAQHB6Ndu3b4+eefsX79eunao3feeQdRUVGYOnUqcnNzERUVhaioKBw+fBgAoFar8d///heurq7o2LEjBgwYgH79+mHevHnVimfp0qWIiorC8OHDAQCdO3dGVFQUvvvuO4c83i5duuDs2bMYPHgwmjVrhvj4eKSnp2Pbtm247777HHIOIlmxHDkRUZ1mnqrHQg7KYPeI07lz5xAVFVWuXafTcXqUjJKSkipdn8mebcLCwrBp06ZK74+Nja20utftVfGmTZuGadOmVXm+siIiIqRjm0wmq9t37dq1RkqkExERESmBqfR9EQeclMHuEadGjRpJU7zK+uGHH9C8eXNHxERERLhtTjtHnIiI6hxO1VMWu0ecJkyYgJEjR6KwsBCiKOLQoUP46quvMGfOHHz66ac1ESPVUWPHjsX69esrvO/FF1/E0qVL73JERERERHcPp+opi92J00svvYTi4mJMnDgR+fn5GDhwIO655x4sWLAAzz33XE3ESHXUlClTMHny5AoX8K1OsQoiIiKi2oRV9ZSlWuXIhw8fjuHDh+P69eswmUxo0KCBo+MiQkBAALy9vStMnIjqHE7VIyKqc4zSiJPMgRCAalzjVFBQgPz8fACAv78/CgoKMH/+fGzbts3hwRERERER1VUmXuOkKHYnTk888QQ+//xzAMDNmzfx0EMP4YMPPsATTzyBJUuWODxAIqI6zfxiyREnIqI651ZVPSZOSmB34nT06FF06tQJAPD1118jKCgIFy5cwOeff46PP/7Y4QESEREREdVFxtLVWVgcQhnsTpzy8/Ph5eUFANi2bRueeuopqFQqPPzww7hw4YLDAyQiqtNKP2WsbP00IiJyXqyqpyx2J06RkZHYuHEjLl68iK1btyIuLg4AcPXqVVY6IyIiIiJyEC6Aqyx2J07vvPMO3njjDURERKBdu3Zo3749gJLRp6ioKIcHSERUp/HVkoiozuICuMpid+L0zDPPIDU1FYcPH8aWLVuk9sceewwfffSRQ4Mj2yUkJEAQBOnLz88PPXv2xK+//iptM2vWLHTo0AHu7u6oV69euWOcP38egiAgJSWl3H2xsbEYM2ZMhed+5ZVXIAgC5s+fb9EeERFRrq2qc40ePRrR0dHQ6XR48MEHrTzi8pYtW4bWrVvDw8MD9erVQ1RUFN577z27j0OkSJypR0RU53CqnrJUqyp8UFAQoqKiLNbXeeihh9CsWTOHBUb269mzJ9LS0pCWlobt27dDo9Ggd+/e0v1FRUXo378/Xn31VYedc+PGjTh48CBCQkLu+FiiKGLo0KF49tln7d53xYoVGDduHEaNGoVffvkFP/30EyZOnIjc3Nw7jouIiIhIDlwAV1mqtQDuzz//jPXr1yM1NRVFRUUW933zzTcOCYzsp9PpEBQUBKAkuZ00aRI6d+6Ma9euISAgANOnTwcAJCUlOeR8ly5dwmuvvYatW7fi8ccfv+PjmasyXrt2zWKkzBbff/89BgwYgGHDhkltLVq0uOOYiGQnvVhyyImIqK65NVVP5kAIQDUSp7Vr12Lw4MGIi4tDcnIy4uLicPr0aaSnp+PJJ5+siRhlJYoixIICWc4tuLlV+xOG3NxcrFmzBpGRkfDz83NwZIDJZMKgQYMwYcIERSQoQUFB2LVrFy5cuIDw8HC5wyEiIiK6Y5yqpyx2J06zZ8/GRx99hJEjR8LLywsLFixAo0aN8MorryA4OLgmYpSVWFCAPx6MluXc9x09AsHd3ebtN23aBE9PTwBAXl4egoODsWnTJosplbbo0KFDuX0KCgrQpk0b6fZ7770HjUaDUaNG2XXsmjJ16lQ89dRTiIiIQNOmTdG+fXv06tULzzzzjN2Pn0hRuAAuEVGdxQVwlcXud5R//fWXNC1Lp9MhLy8PgiBg7Nix+OSTTxweINmua9euSElJQUpKCg4ePIi4uDjEx8fbvb7WunXrpOOYv2JiYqT7jxw5ggULFiApKUkxT+Tg4GDs378fx48fx6hRo2AwGDBkyBD07NkTJpNJ7vCIiIiI7MYFcJXF7hEnX19f5OTkAADuuecenDhxAq1atcLNmzeRn5/v8ADlJri54b6jR2Q7tz08PDwQGRkp3Y6OjoaPjw+WL1+OmTNn2nyc0NBQi+MAgFuZWPbs2YOrV68iLCxMajMajRg/fjzmz5+P8+fP2xW3I7Vs2RItW7bEyJEjsXfvXnTq1Am7du1C165dZYuJ6E4IKL26iSNORER1jonlyBXF7sSpU6dOSE5ORqtWrTBgwACMHj0aP/74I5KTk/HYY4/VRIyyEgTBrulySiIIAlQqFQocfI3WoEGD0K1bN4u2Hj16YNCgQXjppZcceq470bx5cwAl0xaJiIiIahsugKssdidOixYtQmFhIQBg8uTJ0Gq12Lt3L5566in885//dHiAZDu9Xo/09HQAQGZmJhYtWoTc3Fz06dMHAJCamoqMjAykpqbCaDRKayhFRkZK10bZws/Pr1zBCa1Wi6CgINx3330W7ZcuXSq3LlTZkaqyzpw5g9zcXKSnp6OgoADHjx+Hh4cHWrZsCRcXlypjevXVVxESEoJHH30UDRs2RFpaGmbOnImAgABpkWYiIiKi2sTI4hCKUq2pemYqlQoTJ07ExIkTHRoUVc+WLVukAh1eXl5o1qwZ1q9fj9jYWADAO++8g88++0zaPioqCgCwY8cOaRtHmzdvHubNm2fRtmrVqgrP9/LLL2PXrl3S7c6dOwMAzp07h4iIiCrP061bN6xcuRJLlizBjRs34O/vj/bt22P79u01UlWQ6K5hcQgiojpLmqrHxEkRqrWOk8lkwpkzZ3D16tVyF96b3+zS3ZWUlGR1fSZr20RERECs5M3Zzp07qzx2Rdc1WbvW6fZzlT2HyWRCdnY2vL29baqK9/TTT+Ppp5+2uh0RERFRbWF+m62UYlx1nd2J04EDBzBw4EBcuHCh3BtfQRBgNBodFhwRUZ3HESciojrLyOIQimJ3OfLExETExMTgxIkTyMjIQGZmpvSVkZFREzESIT4+Hp6enhV+zZ49W+7wiIiIiBzu1gK4MgdCAKox4nT69Gl8/fXX5cpVV9fixYvx/vvvIy0tDS1atMD8+fPRqVOnSrfX6/WYMWMGVq9ejfT0dDRs2BBvvfUWhg4d6pB4SJk+/fTTSqsDlr3ujsjplH7KyAEnIqK6hwvgKovdiVO7du1w5swZhyRO69atw5gxY7B48WJ07NgRy5YtQ3x8PE6ePFlp5bUBAwbgypUrWLFiBSIjI3H16lUUFxffcSykbPfcc4/cIRARERHdVcbSD804VU8ZbEqcfv31V+nn119/HePHj0d6ejpatWoFrVZrse0DDzxg88k//PBDDBs2DC+//DIAYP78+di6dSuWLFmCOXPmlNt+y5Yt2LVrF86ePSuNMlirtkZEREREVBuZWI5cUWxKnNq0aQNBECyKQZSdGme+z57iEEVFRThy5AjefPNNi/a4uDjs27evwn2+++47xMTEYO7cufjiiy/g4eGBvn374l//+hfc3Nwq3Eev10Ov10u3s7OzAQAGgwEGg8FiW4PBAFEUYTKZylULpLvL3NfMfw9nZjKZIIoiDAYD1Gq13OHUWubn8+3P61qv9LWy2FAEwdkem8ycts9QjWGfIXvdaZ8xlr4HMpmM7Hc1xJ7fq02J07lz56odTGWuX78Oo9GIwMBAi/bAwEBpEdfbnT17Fnv37oWrqyu+/fZbXL9+HSNGjEBGRgZWrlxZ4T5z5szB9OnTy7Vv27YN7u7uFm0ajQZBQUHIzc1FUVFRNR8ZOVJOTo7cIdS4oqIiFBQUYPfu3Zx26gDJyclyh+BQkcVGqADs2LkTxbyer0Y4W5+hmsc+Q/aqbp+5maUGIODwzz8j9zQvdq0J+fn5Nm9rU+IUHh4u/azX61FcXAwPDw/7I6vA7Re7mUeuKmIymSAIAtasWQMfHx8AJdP9nnnmGfzf//1fhaNOkydPxrhx46Tb2dnZCA0NRVxcHLy9vS22LSwsxMWLF+Hp6QlXV9c7fWh0B0RRRE5ODry8vJz+gsjCwkK4ubmhc+fO7Hd3wGAwIDk5Gd27dy83hbg2+2vadIgGA7p2iYU2tKHc4TgVZ+0zVHPYZ8hed9pnFv31E5Cfh/YPP4T2jf1qIEIyz0azhc3FIa5fv44hQ4Zg27ZtMJlMaNeuHVavXo3GjRtXK0h/f3+o1epyo0tXr14tNwplFhwcjHvuuUdKmgDg/vvvhyiK+Pvvv3HvvfeW20en00Gn05Vr12q15Tqw0WiEIAhQqVQ2LbpKNcc8Pc/893BmKpUKgiBU2CfJfk73eyz94ECj1TjX41IQp+szVOPYZ8he1e0zYul8ba2Gfa6m2PN7tfkd6eTJk3HkyBFMnz4d77//Pq5fv45XXnmlWgECgIuLC6Kjo8sNXSYnJ6NDhw4V7tOxY0dcvnwZubm5Utuff/4JlUqFhg35SSwROR9pvJX1yImI6hwWh1AWmxOnrVu3YuXKlZgyZQrGjRuH7777Djt27LijC9XGjRuHTz/9FCtXrsSpU6cwduxYpKamIjExEUBJsjZ48GBp+4EDB8LPzw8vvfQSTp48id27d2PChAkYOnRopcUh6oqEhAQIgiB9+fn5oWfPnhYVESMiIiy2EQTBojjH+fPnIQgCUlJSyh0/NjYWY8aMkW5fuXIFCQkJCAkJgbu7O3r27InTp0/bHG9ERATmz59fnYdKREREVCcYRS6AqyQ2/xkuX76MqKgo6XazZs3g4uKCy5cvV/vkzz77LObPn48ZM2agTZs22L17NzZv3ixdU5WWlobU1FRpe09PTyQnJ+PmzZuIiYnBCy+8gD59+uDjjz+udgzOpGfPnkhLS0NaWhq2b98OjUaD3r17W2wzY8YMaZu0tDS8/fbbdp9HFEX069cPZ8+exX/+8x8cO3YM4eHh6NatG/Ly8hz1cIiIiIjqNC6Aqyw2X+MkiiI0GsvNNRrNHZeKHjFiBEaMGFHhfUlJSeXamjVrxmo2ldDpdAgKCgIABAUFYdKkSejcuTOuXbuGgIAAAICXl5e0TXWdPn0aBw4cwIkTJ9CiRQsAwOLFi9GgQQN89dVX0rpcROQA5hdLTtUjIqpzzG+zuQCuMtiVOD322GMWyVN+fj769OkDFxcXqe3o0aOOjVBmoiiiuEiedYQ0Lqpqf8KQm5uLNWvWIDIyEn5+t6qwvPfee/jXv/6F0NBQ9O/fHxMmTLD4+9nCvC5W2QpwarUaLi4u2Lt3LxMnIiIiIgcw8honRbE5cZo6dWq5tieeeMKhwShRcZEJn4zeJcu5/7GgC7Q62xdE3bRpEzw9PQEAeXl5CA4OxqZNm6SqdKNHj8aDDz6I+vXr49ChQ5g8eTLOnTuHTz/91OI4HTp0KFfJrqCgAG3atAFQMuoXHh6OyZMnY9myZfDw8MCHH36I9PR0pKWl3cEjJqJyOOJERFRn3ZqqJ3MgBOAOEydSlq5du2LJkiUAgIyMDCxevBjx8fE4dOgQwsPDMXbsWGnbBx54APXr18czzzyD9957z2JUat26dbj//vstjv3CCy9IP2u1WmzYsAHDhg2Dr68v1Go1unXrhvj4+Bp+hERERER1h0nkiJOS2Jw41VUaFxX+saCLbOe2h4eHByIjI6Xb0dHR8PHxwfLlyzFz5sxy2z/88MMAgDNnzlgkTqGhoRbHAVCuamF0dDRSUlKQlZWFoqIiBAQEoF27doiJibErZiKyovRjRpEjTkREdY40VY9DTorAxMkKQRDsmi6nJObFYwsKCiq8/9ixYwBKFhauLvNixKdPn8bhw4fxr3/9q9rHIiIiIqJbSvMmVtVTCCZOTkSv1yM9PR0AkJmZiUWLFiE3Nxd9+vTB/v37ceDAAXTt2hU+Pj74+eefMXbsWPTt2xdhYWF2n2v9+vUICAhAWFgYjh8/jtGjR6Nfv36Ii4uz+RiXLl0qt2ZUWFgYfH197Y6HyGnxxZKIqM7iArjKwsTJiWzZskUaPfLy8kKzZs2wfv16xMbG4ujRo1i3bh2mT58OvV6P8PBwDB8+HBMnTqzWudLS0jBu3DhcuXIFwcHBGDx4MP75z3/adYx58+Zh3rx5Fm2rVq1CQkJCtWIicmqcqUdEVOdIC+DyQzRFsClx8vX1xZ9//gl/f38MHToUCxYsgJeXV03HRnZISkqqcN0rswcffBAHDhyo8hgRERGVXkexc+dOi9ujRo3CqFGj7A1Tcv78+WrvS0RERFQXsKqesthUfaCoqAjZ2dkAgM8++wyFhYU1GhQREZWSXi055EREVNdIC+Byqp4i2DTi1L59e/Tr1w/R0dEQRRGjRo0qV2XNbOXKlQ4NkGqfNWvW4JVXXqnwvvDwcPz22293OSIiIiKi2sfIcuSKYlPitHr1anz00Uf466+/IAgCsrKyOOpElerbty/atWtX4X1arfYuR0NUu0kvlSxHTkRU53CqnrLYlDgFBgbi3XffBQA0atQIX3zxhcW6P0RleXl58Ro4IiIiojsgiqL0mRmLQyiD3VX1zp07VxNxEBFRRfhiSURUJ5kXvwU4VU8pbCoOcbtdu3ahT58+iIyMxL333ou+fftiz549jo6NiIjMOFWPiKhOKZM3cQFchbA7cVq9ejW6desGd3d3jBo1Cq+99hrc3Nzw2GOP4csvv6yJGImIiIiI6hSTyBEnpbF7qt6sWbMwd+5cjB07VmobPXo0PvzwQ/zrX//CwIEDHRogEVGdZv6UkSNORER1isVUPY44KYLdI05nz55Fnz59yrX37duX1z8RERERETlA2REn5k3KYHfiFBoaiu3bt5dr3759O0JDQx0SFBERlSp9tRQ54kREVKeYF78FOFVPKexOnMaPH49Ro0bh1VdfxRdffIHVq1cjMTERo0ePxhtvvFETMZINEhISIAiC9OXn54eePXvi119/tes4//jHP6BWq7F27dpy902bNg2CIKBnz57l7ps7dy4EQUBsbKxFe0ZGBsaMGYOIiAi4uLggODgYL730ElJTUyuNX6PRICIiAuPGjUNmZqbFdhEREdJ27u7uaNmyJZYtWybdn5SUhHr16lX42ARBwMaNGy3aNm3ahNjYWHh5ecHd3R1t27ZFUlKSxTY7d+6EIAi4efNmuWO2adMG06ZNk24fO3YMvXv3RoMGDeDq6oqIiAg8++yzuH79eoUxEREREVXEKHKqntLYnTi9+uqrWLt2LY4fP44xY8Zg9OjROHHiBNatW4dXXnmlJmIkG/Xs2RNpaWlIS0vD9u3bodFo0Lt3b5v3z8/Px7p16zBhwgSsWLGiwm2Cg4OxY8cO/P333xbtq1atQlhYmEVbRkYGHn74Yfzvf//D4sWLcebMGaxbtw5//fUX2rZti7Nnz1YY//nz5/HJJ59g69atGDlyZLkYZsyYgbS0NPz666/o168fEhMTsW7dOpsfp9nChQvxxBNPoEOHDjh48CB+/fVXPPfcc0hMTKzWhwBXr15Ft27d4O/vj61bt+LUqVNYuXIlgoODkZ+fb/fxiABwfgYRUR3FqXrKY3dxCAB48skn8eSTTzo6FrpDOp0OQUFBAICgoCBMmjQJnTt3xrVr1xAQEGB1//Xr16N58+aYPHkygoODcf78eURERFhs06BBA0RHR+Ozzz7DW2+9BQDYt28frl+/jv79++PkyZPStm+99RYuX76MM2fOSHGFhYVh69atuPfeezFy5Ej88MMPFcYfEhKCJ598El999VW5OL28vKTtZs6ciX//+9/YuHEjnn32WZt/VxcvXsT48eMxZswYzJ49W2ofP348XFxcMGrUKPTv3x/t2rWz+Zj79u1DdnY2Pv30U2g0JU+tRo0a4dFHH7X5GESV4kw9IqI6xVRaHEIlsBy5UlRrHae6RBRFGAoLZfm6k2sacnNzsWbNGkRGRsLPz8+mfVasWIEXX3wRPj4+6NWrF1atWlXhdkOHDrWYzrZy5Uq88MILcHFxkdpMJhPWrl2LF154QUpyzNzc3DBixAhs3boVGRkZFZ7j7Nmz2L59O7RardW4XV1dYTAYbHiEt3z99dcwGAwVjiy98sor8PT0rDBpq0pQUBCKi4vx7bff8noUIiIiuiPmqXq8vkk5qjXiVJcU6/X4eMgzspx71GdfQ+vqavP2mzZtgqenJwAgLy8PwcHB2LRpE1Qq6/nx6dOnceDAAXzzzTcAgBdffBGjRo3C1KlTy+3fu3dvJCYmYvfu3YiOjsa///1v7N27FytXrpS2uXbtGm7evIn777+/wvPdf//9EEURZ86cwUMPPWQRv9FoRGFhIQDggw8+qDTm4uJirF69GsePH8err74qtWdlZUm/h8r8+eef8PHxQXBwcLn7XFxc0LhxY/z5559VHuN2Dz/8MKZMmYKBAwciMTERDz30EB599FEMHjwYgYGBdh2LSCJ9yshknIioLjFXI+dok3JwxMmJdO3aFSkpKUhJScHBgwcRFxeH+Ph4XLhwweq+K1asQI8ePeDv7w8A6NWrF/Ly8vC///2v3LZarRYvvvgiVq1ahfXr16Np06Z44IEH7IrVPCJT9p+BOf6DBw/itddew2OPPYbXXnut3L6TJk2Cp6cn3NzcMHLkSEyYMMHi+jovLy/p91D2y974qvOPatasWUhPT8fSpUvRvHlzLF26FM2aNcPx48ftPhYRERHVXeapeiwMoRwccbJCo9Nh1Gdfy3Zue3h4eCAyMlK6HR0dDR8fHyxfvhwzZ86sdD+j0YjPP/8c6enp0rU55vYVK1YgLi6u3D5Dhw5Fu3btcOLECQwdOrTc/QEBAahXr57FNU9l/f777xAEAU2aNKkw/gULFqBLly6YMWNGudgnTJiAhIQEuLu7Izg4uFyCo1KpLH4PFWnatCmysrJw+fJlhISEWNxXVFSEs2fPStcmeXt7AygZybq9Yt/Nmzfh4+Nj0ebn54f+/fujf//+mDNnDqKiojBv3jx89tlnVcZEVCFpwIkjTkREdYl5AVxO1VMOjjhZIQgCtK6usnzd6dCsIAhQqVQoKCiocrvNmzcjJycHx44dsxihWb9+PTZu3IgbN26U26dFixZo0aIFTpw4gYEDB5a7X6VSYcCAAfjyyy+Rnp5ucV9BQQEWL16MHj16wNfXt9K4Jk2ahA8++ACXL1+2aPf390dkZCRCQkKq/Tt6+umnodFoKpwKuHTpUuTl5eH5558HANx7771QqVT4+eefLbZLS0vDpUuXcN9991V6HhcXFzRp0gR5eXnVipOIiIjqJpM0O0fmQEhi94iT0WhEUlIStm/fjqtXr8JUdnUuAD/++KPDgiP76PV6KUnJzMzEokWLkJubiz59+lS534oVK/D444+jdevWFu0tWrTAmDFjsHr1aowePbrcfj/++CMMBkOl6ybNmjUL27dvR/fu3TF37ly0bNkS586dw9tvvw2DwYD/+7//qzKuRx55BC1atMDs2bOxaNGiKre1V1hYGObOnYs33ngDrq6uGDRoELRaLf7zn/9gypQpGD9+vFRRz8vLC6+88grGjx8PjUaD1q1b4/Lly3jrrbdw//33SyNymzZtwtq1a/Hcc8+hadOmEEUR33//PTZv3lxpoQ0iawTwFZOIqK4xGE04f6PkQ1eOOCmH3YnT6NGjkZSUhMcffxwtW7bkBWsKsmXLFqnYgZeXF5o1a4b169eXW5S2rCtXruC///0vvvzyy3L3CYKAp556CitWrKgwcfLw8KgyHn9/fxw4cAAzZszAK6+8grS0NGlh3tWrV5db96kiY8aMwbBhwzBp0iSEhoZa3d4eY8eORZMmTTBv3jwsWLAARqMRLVq0wJIlS/DSSy9ZbPvRRx8hODgYU6ZMwfnz59GgQQN07doVa9eulaY3Nm/eHO7u7hg/fjwuXrwInU6He++9F59++ikGDRrk0NipDuJUPSIip6MvNuL89XycvpqD01dyceZqLk5fzcG563kwGEv+7+s0nCCmFIJoZ91kf39/fP755+jVq1dNxVSjsrOz4ePjg6ysLOnaFbPCwkKcO3cOjRo1gqsd1ezI8UwmE7Kzs+Ht7W1TVcDajP3OMQwGAzZv3oxevXrZVMa+tjjdqTOKr11Do2+/gWslVSqpepy1z1DNYZ8hexkMBnz7/Wbc37YTLmcX4WJGPlIz8nHhRsn31Ix86Vqm23npNGgW7IUXHw7HE23uucuR1x1V5Qa3s3vEycXFxeqF90RE5CDmUX2OOBERKY6+2Iir2XqkZxciPav0K7vk6/LNAqTeyMeNPA1waH+lx/DSaRAZ6Il7G3ji3gZeiAz0RGSAJxrWd+PMLoWxO3EaP348FixYgEWLFvGPWUvMnj0bs2fPrvC+Tp064YcffrjLEREREREpjyiKyNUXIyOvCDfyipCRW4SMvCJcz9NLP9/IK8K1nJJkKSOvyKbj1nPTIszPHaG+7gj3dUdY6VeTBp5o4KXje+pawu7Eae/evdixYwd++OEHtGjRotxQtXkBVVKOxMREDBgwoML73Nzc7nI0RGSX0hdTO2dVExHVSUXFJhQUGZFvKEae3oicQgOyC4tLvhcUI7vQIP1svi+7wICcwmJkFRiQkVeEIqPJ+onKcNGoEOTtiiBvVwT6uCLIW4cgHzcE+7gixNsFpw7vxTN94zi90wnYnTjVq1cPTz75ZE3EQjXE19e3yrLfRERERI5iMokwiiKKjSKKjCboi40oKjaVfBlLvuvNt80/G03QG4zS/WXv0xcbkV9kLEmIiozINxhRUFQsteWV+bm4kuuF7OWmVcPXwwV+ni4l3z100s++Hi4I8NQh0NsVwT6uqOeurXTEyGAw4AJXTXUadv8pWVaZiOguKn0x3nfmOopMaZVuZstbBWuDVqINR7Fl4Mu2WO78zY1tsVS+kbHYiJRrAopSLkOtVt/RuRz1mG36rdzh4y6JxSGnueO/ga3Hse334pjfb1WHMRqN+C1NwPUDqVBXUbjI1vOIKOkXJlGESSxpM4liaRukdtx227xPyfaW+4gos42pzD4QpeOX3UcUSxZaNZpEFEvfTTCaRBiMZdtNt+433tqu2CTCaLTc10G5yx3RqAS4uajh7aqFt5sWXq6a0p9Lv7tqbmsv+dmcJLm5VP0/geqmaufA165dwx9//AFBENC0aVMEBAQ4Mi4iIgKQpy+GDsCcH37HmXq5cofjhNRYfeaE3EFQraLGhvO/yx1EraPTqOCiUZV8V5t/VsOltP1Wm0pqM2+r06rhplXD3aXky81FU/pdDY8yP7u7qOGu1cDNpeS4RI5md+KUl5eH119/HZ9//rm0+K1arcbgwYOxcOFCuLu7OzxIIqK6ylj68bevhxYPRdgw5daG64utbWLLNcq2LMxr03GsbOOo81REFEVcv3YN/gEBEATB6sXZtpzGtt+dLce5O7HYciTrfyPHxOKIv7WjzlPZJqLJhLS0NAQHB1tdKsOWi/1VAqASBAhCSVzm2yWHLnNbQGkfvXVbVdpnS9pu3VaVPZbq1j4Cbp2r7DHN37VqAWqVChqVALVKgEYlQKO2vK1WCdCoBWhUqjI/39pPozZvq5L20apV0KqtP7+IagO7E6dx48Zh165d+P7779GxY0cAJQUjRo0ahfHjx2PJkiUOD5KIqO4qebMR2zQAI15pL3MszuXWmjzRvGibbFLSZy6hV6/W7DNEdZDdidOGDRvw9ddfIzY2Vmrr1asX3NzcMGDAACZOREQ1gJ/VEhERycvuCaD5+fkIDAws196gQQPk5+c7JCgiIiplzphYjpyIiEhWdidO7du3x9SpU1FYWCi1FRQUYPr06WjfntNIiIgcScqXOOREREQkK7sTpwULFmDfvn1o2LAhHnvsMXTr1g2hoaHYt28fFixYUBMxkg0SEhKki5sFQYCfnx969uyJX3/91ab9BUHAxo0bazZIIrJf6QXVNl3QTkRERDXG7sSpZcuWOH36NObMmYM2bdrggQcewLvvvovTp0+jRYsWNREj2ahnz55IS0tDWloatm/fDo1Gg969e8sdFhE5gGDbSjZERERUQ6q1jpObmxuGDx/u6FgUSRRFiAaTLOcWtCq7ynfqdDoEBQUBAIKCgjBp0iR07twZ165d4zpbRLUcx5uIiIjkZVPi9N133yE+Ph5arRbfffddldv27dvXIYEphWgw4fI7+2Q5d8iMDhCquXJ1bm4u1qxZg8jISPj5+Tk4MiK6W0SYp+oRERGRnGxKnPr164f09HQ0aNAA/fr1q3Q7QRBgNBodFRvZadOmTfD09ARQslBxcHAwNm3aZHWRPiJSPl7jREREJC+bEieTyVThz3WBoFUhZEYH2c5tj65du0rraGVkZGDx4sWIj4/HoUOHEB4eXhMhElFNk/IlXuNEREQkJ7uHIj7//HPo9fpy7UVFRfj8888dEpSSCIIAlYtali97rm8CAA8PD0RGRiIyMhIPPfQQVqxYgby8PCxfvryGfjtEdLdwvImIiEhedidOL730ErKyssq15+Tk4KWXXnJIUOQYgiBApVKhoKBA7lCIqJp4jRMREZEy2F1VTxTFCkdC/v77b/j4+DgkKKoevV6P9PR0AEBmZiYWLVqE3Nxc9OnTx6b9z507h5SUFIu2yMhI6bopIpIRMyciIiJZ2Zw4RUVFSYurPvbYY9Bobu1qNBpx7tw59OzZs0aCJNts2bIFwcHBAAAvLy80a9YM69evR2xsrE37jxs3rlzbjh07bN6fiGoO8yYiIiJ52Zw4mavppaSkoEePHhajEC4uLoiIiMDTTz/t8ADJNklJSUhKSqr2/qLIC8+JlIwL4BIREcnL5sRp6tSpAICIiAg899xz0Ol0NRYUERHdjmNOREREcrK7OETz5s3LXQcDAAcPHsThw4cdERM52OzZs+Hp6VnhV3x8vNzhEVEVxNJrSgWOChMREcnK7uIQI0eOxMSJE9GuXTuL9kuXLuG9997DwYMHHRYcOUZiYiIGDBhQ4X1ubm53ORoiqhYOOBEREcnK7sTp5MmTePDBB8u1R0VF4eTJkw4JihzL19cXvr6+codBRNXCcuRERERKYPdUPZ1OhytXrpRrT0tLs6i0R0REd848QY+JExERkbzsTpy6d++OyZMnWyyCe/PmTUyZMgXdu3d3aHBERFSiguXziIiI6C6ye4jogw8+QOfOnREeHo6oqCgAJSXKAwMD8cUXXzg8QCKiOs2cMLE2BBERkazsTpzuuece/Prrr1izZg1++eUXuLm54aWXXsLzzz8PrVZbEzESEdV5HHEiIiKSV7UuSvLw8MA//vEPR8dCRES3ETnkREREpAjVruZw8uRJpKamoqioyKK9b9++dxwUERFZElgegoiISFZ2J05nz57Fk08+iePHj0MQBIilizIKpfNIjEajYyMkmyQkJOCzzz6Tbvv6+qJt27aYO3cuHnjgAav779ixAzNmzMAvv/yCwsJC3HPPPejQoQNWrFjBaolECsC0iYiISF52V9UbPXo0GjVqhCtXrsDd3R2//fYbdu/ejZiYGOzcubMGQiRb9ezZE2lpaUhLS8P27duh0WjQu3dvq/v99ttviI+PR9u2bbF7924cP34cCxcuhFarhclkuguRE1FlbpUj51Q9IiIiOdk9lLB//378+OOPCAgIgEqlgkqlwiOPPII5c+Zg1KhROHbsWE3EKRtRFGEwGGQ5t1arlUbybKHT6RAUFAQACAoKwqRJk9C5c2dcu3YNAQEBle6XnJyM4OBgzJ07V2pr0qQJevbsWf3gicihOOJEREQkL7sTJ6PRCE9PTwCAv78/Ll++jPvuuw/h4eH4448/HB6g3AwGA2bPni3LuadMmQIXF5dq7Zubm4s1a9YgMjISfn5+VW4bFBSEtLQ07N69G507d67W+YiohpR+eMLEiYiISF52J04tW7bEr7/+isaNG6Ndu3aYO3cuXFxc8Mknn6Bx48Y1ESPZaNOmTVJSm5eXh+DgYGzatAkqVdUzMvv374+tW7eiS5cuCAoKwsMPP4zHHnsMgwcPhre3990InYisYeZEREQkK7sTp7fffht5eXkAgJkzZ6J3797o1KkT/Pz8sG7dOocHKDetVospU6bIdm57dO3aFUuWLAEAZGRkYPHixYiPj8ehQ4cQHh5e6X5qtRqrVq3CzJkz8eOPP+LAgQOYNWsW3nvvPRw6dAjBwcF39DiIqPqka5xEXuNEREQkJ7sTpx49ekg/N27cGCdPnkRGRgbq169v1/U4tYUgCNWeLne3eXh4IDIyUrodHR0NHx8fLF++HDNnzrS6/z333INBgwZh0KBBmDlzJpo2bYqlS5di+vTpNRk2EREREZHi2VVVr7i4GBqNBidOnLBo9/X1dcqkqbYTBAEqlQoFBQV271u/fn0EBwdLo4tEJJfS/638H0tERCQru0acNBoNwsPDuVaTQun1eqSnpwMAMjMzsWjRIuTm5qJPnz5V7rds2TKkpKTgySefRJMmTVBYWIjPP/8cv/32GxYuXHg3QieiSnCqHhERkTJU6xqnyZMnY/Xq1fD19a2JmKiatmzZIl2P5OXlhWbNmmH9+vWIjY2tcr+HHnoIe/fuRWJiIi5fvgxPT0+0aNECGzduRJcuXe5C5ERkDQeciIiI5GV34vTxxx/jzJkzCAkJQXh4ODw8PCzuP3r0qMOCI9slJSUhKSmpWvtGRUXhiy++cGxAROQY5pl6HHAiIiKSld2JU79+/WogDCIiqgpHnIiIiORlc+K0cuVKvPDCC5g6dapDA1i8eDHef/99pKWloUWLFpg/fz46depkdb+ffvoJXbp0QcuWLZGSkuLQmJzN7NmzK13Et1OnTvjhhx/uckREZCvRPOTEESciIiJZ2Zw4DR8+HL1790aDBg0AACEhIdi3bx8iIiKqffJ169ZhzJgxWLx4MTp27Ihly5YhPj4eJ0+eRFhYWKX7ZWVlYfDgwXjsscdw5cqVap+/rkhMTMSAAQMqvM/Nze0uR0NE1cERJyIiInnZnDiJt1V0ysnJgclkuqOTf/jhhxg2bBhefvllAMD8+fOxdetWLFmyBHPmzKl0v1deeQUDBw6EWq3Gxo0b7yiGusDX15eFPIhqKWnEiYiIiGRl9zVOjlJUVIQjR47gzTfftGiPi4vDvn37Kt1v1apV+Ouvv7B69WqbFnXV6/XQ6/XS7ezsbACAwWCAwWCw2NZgMEAURZhMpjtOCunOmBN189/DmZlMJoiiCIPBALVaLXc4tZb5+Xz787r2K3kumEwmJ3xs8nLePkM1hX2G7MU+o3z2/G1sTpwEQbBY5Pb22/a6fv06jEYjAgMDLdoDAwOltYhud/r0abz55pvYs2cPNBrbQp8zZw6mT59ern3btm1wd3e3aNNoNAgKCkJubi6KiopsfCRUk3JycuQOocYVFRWhoKAAu3fvRnFxsdzh1HrJyclyh+BQnoaSPnHh/Dls3rxZ5mick7P1Gap57DNkL/YZ5crPz7d5W7um6jVt2lRKlnJzcxEVFQWVSmWxXUZGhs0nB1Au+RJFscKEzGg0YuDAgZg+fTqaNm1q8/EnT56McePGSbezs7MRGhqKuLg4eHt7W2xbWFiIixcvwtPTE66urnY9DnIsURSRk5MDLy+vO0rQa4PCwkK4ubmhc+fO7Hd3wGAwIDk5Gd27d4dWq5U7HIfZ98FiAECjiAj06tVL5mici7P2Gao57DNkL/YZ5TPPRrOFzYnTqlWrqhVMZfz9/aFWq8uNLl29erXcKBRQMvJw+PBhHDt2DK+99hqAW1OcNBoNtm3bhkcffbTcfjqdDjqdrly7Vqst14GNRiMEQYBKpSqXENLdZZ6eZ/57ODOVSgVBECrsk2Q/Z/09qlVqp3xcSuCsfYZqDvsM2Yt9Rrns+bvYnDgNGTKkWsFUxsXFBdHR0UhOTsaTTz4ptScnJ+OJJ54ot723tzeOHz9u0bZ48WL8+OOP+Prrr9GoUSOHxkdEpAjSiCvrkRMREclJtuIQADBu3DgMGjQIMTExaN++PT755BOkpqYiMTERQMk0u0uXLuHzzz+HSqVCy5YtLfZv0KABXF1dy7UTETkb556wSkREpHyyzoF69tlnMX/+fMyYMQNt2rTB7t27sXnzZoSHhwMA0tLSkJqaKmeItUZCQgL69etXrn3nzp0QBAE3b95EYWEhEhIS0KpVK2g0mgq3T0pKQr169Ww+z+7du9GnTx+EhIRAEAS7y8PHxsZizJgxdu1DVJeYx5mYOBEREclL9otHRowYgfPnz0Ov1+PIkSPo3LmzdF9SUhJ27txZ6b7Tpk1DSkpKzQfpJIxGI9zc3DBq1Ch069bNIcfMy8tD69atsWjRIoccj4gqIXCqHhERkZxknapXG5SsI1Qgy7lVKjeHVpTz8PDAkiVLAAA//fQTbt68ecfHjI+PR3x8/B0fh4iqJnDMiYiISFbVTpyKiopw7tw5NGnSxOY1lWojk6kAO3e1kuXcsV2OQ612t74hETktsYKfiIiI6O6ze6pefn4+hg0bBnd3d7Ro0UK6BmnUqFF49913HR4g2W7Tpk3w9PS0+OJoEJFz4HgTERGRvOweKpo8eTJ++eUX7Ny5Ez179pTau3XrhqlTp+LNN990aIByU6ncENvluPUNa+jc9ujatas0Fc/s4MGDePHFFx0ZFhHdRaJ5ui4HnIiIiGRld+K0ceNGrFu3Dg8//LDF9TfNmzfHX3/95dDglEAQhFozXc7DwwORkZEWbX///bdM0RCRQ5QmTA683JGIiIiqwe6peteuXUODBg3Ktefl5Tm0kAEREUHKmPjflYiISF52jzi1bdsW//3vf/H6668DgJQsLV++HO3bt3dsdORwJ0+eRFFRETIyMpCTkyOVc2/Tpo20jdFoLFfm3cXFBc2bNy93vNzcXJw5c0a6fe7cOaSkpMDX1xdhYWE2xXTt2rVy52vQoAHc3WvHSB9RTeI6TkRERMpgd+I0Z84c9OzZEydPnkRxcTEWLFiA3377Dfv378euXbtqIkZyoF69euHChQvS7aioKAAlZdfNcnNzpXaz8PBwnD9/vtzxDh8+jK5du0q3x40bBwAYMmQIkpKSbIrpyy+/xJdffmnR9s4772Ds2LE27U9EREREVNPsTpw6dOiAn376CfPmzUOTJk2wbds2PPjgg9i/fz9atZKnbDeh0iQlNjbWIimqKPkpKyEhAQkJCTaf5/bj26uyBY5NJhOys7OrfVwiZ8MRJyIiInlVawGmVq1a4bPPPnN0LEREdBtO1SMiIlIGmxInez759/b2rnYw5Fz27NlT5TpSubm5dzEaotrKnDKxHjkREZGcbEqc6tWrZ7ViniiKEAQBRqPRIYFR7RcTE1Ou6AMRERERUW1kU+K0Y8eOmo6DnJCbm1u5daWIyD7SVD3O1SMiIpKVTYlTly5dajoOIiKqCmfqERERyapaxSFu3ryJFStW4NSpUxAEAc2bN8fQoUPh4+Pj6PiIiAgccSIiIpKbyt4dDh8+jCZNmuCjjz5CRkYGrl+/jg8//BBNmjTB0aNHayJGIqI6SyzNmASOOBEREcnK7hGnsWPHom/fvli+fDk0mpLdi4uL8fLLL2PMmDHYvXu3w4MkIqqzShMmjjgRERHJy+7E6fDhwxZJEwBoNBpMnDgRMTExDg2OiKiuE6Vq5BxyIiIikpPdU/W8vb2Rmpparv3ixYvw8vJySFBERGSJA05ERETysnvE6dlnn8WwYcMwb948dOjQAYIgYO/evZgwYQKef/75moiRbJCQkICbN29i48aNFu07d+5E165dkZmZCVdXVyQmJuLIkSM4deoUevfuXW77pKQkjBkzBjdv3rTpPLt378b777+PI0eOIC0tDd9++y369etnc9xnz57FW2+9hV27diEjIwP+/v6Ijo7Ge++9h6CgINt/AUROqlhQ43CzVkjz8EDutZtyh6OIBM5RMRQbjUjRuEF1IxsatboacSjht6GcaZxyhyGKIu4VzsEbmaUtpRGZrxOEUNp2q93ybyhY3ba4uBgq9TlkZR+FVqMtc57b97U85q02+7e1XEezdD9BBUBV8l1QQYAagiBAENS32qGCIKhL91eX+ZmIqsvuxGnevHkQBAGDBw9GcXExAECr1eLVV1/Fu+++6/AAyXGMRiPc3NwwatQobNiwwSHHzMvLQ+vWrfHSSy/h6aeftmvfoqIidO/eHc2aNcM333yD4OBg/P3339i8eTOysrKYOBEB+DGmLdbE9y65ceK8rLE4JfcGwKmLckdBDhIsXsY8jKrRc7i7A7/8srBGz1GTqk6uStoFqEuSuDLblmyngUrQQlBpyvysLf1ZU+Zn8zba0vbSttJ2lVB6n0pX8qXWQa1yLb3tCrXa9dZ9Kl3p7ZK2kriJ5GF34uTi4oIFCxZgzpw5+OuvvyCKIiIjI+Hu7l4T8ZEDeXh4YMmSJQCAn376qdJRJXvEx8cjPj6+WvuePHkSZ8+exY8//ojw8HAAQHh4ODp27AiTyYTs7Ow7jo+otssoXeahfnEx7vVT7pIPSr8ES6xgISxRFJGZmYn69evL/km8wn99io9PbzLht9xC3IA/NBofuLuFl/7NzV8l38SytyFKHdeyvaRvWGwHUWrLy8uDu7u7NC5U0TFFi32lg5bb1vI8t7a/1X77tmam0ttGiKIJomgCYLLpdyWKxtL9bNpccQTBBWq1Oalyg0bjAbXaAxp1yXd1Bbc1Fu2e0Gp9oNH4QKPxhkpVrZV5qI6qdm9xd3dHq1atHBmLIomiiHyTbf+MHM1dpZL9xbwmBQQEQKVS4euvv8aYMWOgrsZUGSJnJ5a+PXskNxvLu7MAjyMZDAZs3rwZvWKjodVqre9AinWxsAht95+ECMDPtxNatlxQI+cx95nYLr0U12fMyVZJYmQqTaiMUpsomiDCBJRrt22bkuMZIIrFMInFEE3FMIlFEE3FpW0l94kmQ+n9ZbYVDTCZbt1v3t5kKoLJpIfJWAijSV/ys6kQJpMeRmNh6W09RNFQ5nEWobi4CECOQ35varUntNp60Gp8oNH6WP6s8YHWxRc6lwC4uPjDxcUfWq0fk606zOa//NChQ23abuXKldUORonyTSY02X1clnP/1bkVPOxIJjZt2gRPT0+LNqPR6OiwHOaee+7Bxx9/jIkTJ2L69OmIiYlB165d8cILLyAiIkLu8IgUwVxVz3k/QiG6c0LZn5z4A8eqlHzQKjjlVDZRNN6WTJUmWsYCFBvzYCzOg9GYi2Jjfpmfze35KDbmwlh6u9iYC4MhC0ZjLgDAaMyF0ZiLQvxtYzQCtNr6cHHxg0tpQqVzCYBOFwSdazBcXUPgqguBi4ufU/4t6jqbE6ekpCSEh4cjKirqtuFiUoquXbtKU/HMDh48iBdffFGmiKwbOXIkBg8ejB07duDgwYNYv349Zs+ejY0bN6Jdu3Zyh0ckO7H0hZcvv0SVMz8/TBAg8NnidARBDbXaHWq14y4LMZmKUVycjeLiLBgMN2EozkKxofzPRYYbKCq6Xvp1A4AJBkMGDIYM5OWdriJmLVx1wXDRBULnKuL8+TPw9GwEN/dwuLtFQKv1depZRc7K5sQpMTERa9euxdmzZzF06FC8+OKL8PX1rcnYFMFdpcJfneWZkuiusu+fv4eHByIjIy3a/v7b1k9Q5OPl5YW+ffuib9++mDlzJnr06IHZs2fjP//5j9yhEcnO/DGVwM+riCp16/1nmUp4RFVQqTRwcfGFi4vt72VF0QiDIRNFRSXJlL7oWmlCdQ2FhWnQ69NQWHgZev1ViKIBBYWpKChMhVYLpF48bHEsjcYLbm7hcHMLh7t7BDzcm8DD8z54uDeCSqVz9MMlB7E5cVq8eDE++ugjfPPNN1i5ciUmT56Mxx9/HMOGDUNcXJzTZs2CINg1XY7ujCAIaNasGfbt2yd3KESKIJrLFjNzIqqUuYS3CIF5E9UYQVBL1zoB91W6nclUjKKiqygsvIy8vIv45dcdCA/3gF5/Efn556HXp6G4OAc5OSeQk3PitnNo4O7eCB4e98LT4z54ejZF/frtodFwrVQlsOvqNp1Oh+effx7PP/88Lly4gKSkJIwYMQIGgwEnT54sd30NKc/JkydRVFSEjIwM5OTkICUlBQDQpk0baRuj0Si1m7m4uKB58+bljpebm4szZ85It8+dO4eUlBT4+voiLCysylhSUlIwdepUDBo0CM2bN4eLiwt27dqFlStXYuLEidV+jETOxJw4cfIRUeXMzw+RU/VIAVQqTcm1Tq4h8PBoDUORCk3vvVVQxGgsREFBKgoKLiC/4Dzy888jL+8M8vL+QHFxDvLyTiMv7zSuYjMAwNu7NdrGfCPnQ6JS1S4LUrLQmgBRFGGSqeoc2a9Xr164cOGCdDsqKgoALK5by83NldrNwsPDcf78+XLHO3z4MLp27SrdHjduHABgyJAhSEpKqjKWhg0bIiIiAtOnT8f58+chCIJ0e/To0cjNzbX34RE5HbHcD0R0O/Okl5JrAjnkRMqmVrvC07MpPD2bWrSLogi9Ph15eX8iN+9PZGUdxbVr21BQwLXmlMKuxEmv10tT9fbu3YvevXtj0aJF6NmzJ1R2Xo9DjlVZkhIbG2uRFFWU/JSVkJCAhIQEm89z+/Ht4e/vjwULKi4Zy2ScqIQ0VY+ZE5FtnPTSAXJ+giDA1TUYrq7B8PPrgty807h2bRv4yZly2Jw4jRgxAmvXrkVYWBheeuklrF27Fn5+fjUZGxERleJbQaLKCWWeIaLIZws5B/O0U1azVg6bE6elS5ciLCwMjRo1wq5du7Br164Kt/vmG87BpBJ79uxBfHx8pfdzKh6RdSZzOXK+cBJVSlUmVxJ5jRM5DXPH5iwcpbA5cRo8eLDTVs6jmhETE1OuyAQR2UdaAJf/f4kqZfHs4HOFnMSt//v84Ewp7FoAl8gebm5u5daVIiJ7lV7jxBEnokqVTZVETmwlp1FaZp///xWD49lERApmkopDEFFlVGVGmUSBay+Ss+CIk9IwcSIiUjLB4hsRVYAjTuSMOFVPeZg4EREpmPlNoIovnESVEqq4RVR7mavqsTiEUjBxIiJSMFFa2VPeOIiUzKIehMi3NuQsOOKkNPzvQkSkYOZrnPjPmqhyZddxMrGqHjkJTtVTHr4WExHVAnwrSFQ5TtUj58SqekrDxMlJJCQkoF+/fhXeFxERgfnz59t0HHu2JaKaJ0pV9fjCSVQZy1SJb23ISXDESXH434WISMFETtUjskpVJnMyCXy2kHMQpP/8TJyUgv9diIgUjC+XRNaVvcZJ4FQ9chrmqXqsqqcUGrkDUDpRFFFgMMpybjetusyFgURUF0kjTpzjTlQpruNETolT9RSHiZMVBQYjmr+zVZZzn5zRA+4u/BMR0W3llonIQtmpekycyFmUHT0VRZEfpisAp+oRESmYubSywA8ciSplOeLEtzbkLCx7NsmPwxlWuGnVODmjh2znJqK67VZVPSKqjOUn8UycyDlY9msmTkrAxMkKQRA4XY6IZMRy5ET2EDmdiZzGrQ8BRNEEQeAH6nJjRuBEsrKykJKSYtHm6+tr93EuXbpU7jhhYWHVOhYR3RmTVBxC5kCIFE4FESYIvMaJnAhHnJSGiZMT2blzJ6KioizahgwZYvdx5s2bh3nz5lm0rVq1CgkJCXcSHhFVR+nrJj9EJ6payaisAFHkk4WcA6fqKQ8TJyeRlJSEpKSkOz7O+fPn7/gYROQ45k/PBZYjJ7INP2Ugp2FZVY/kxysoiYgUTCoOwfeCRFVSlX4iz6p65Dw44qQ0/O9Sh6xZswaenp4VfrVo0ULu8IioAlwAl8g+TJzIWXCqnvJwql4d0rdvX7Rr167C+7Ra7V2OhohsYX6p5IATUdXMzxFW1SPnYVlVj+THxKkO8fLygpeXl9xhEJEdzNe5860gUdVUgljySQOLQ5DT4IiT0nA8m4hIwUSWIyeyC8uRk7MQOHqqOEyciIgUTOQCuEQ2MT9HRIFvbchZlK2qx6l6SsD/LkRESsapekQ2ESr4iah241Q9pWHiRESkYCZzOXKZ4yBSOmnEic8WchKCxegpEyclYOJERKRonKpHZAupqh7f2pDT4FQ9peF/FyIiBWNxCCLb8MMFcjZcx0l5mDg5iYSEBPTr16/C+yIiIjB//nybjnPs2DH07t0bDRo0gKurKyIiIvDss8/i+vXrjguWiOzGyUdEVeNUPXJOJf1Z5CLoisDEiSRXr15Ft27d4O/vj61bt+LUqVNYuXIlgoODkZ+fL3d4RHXSrWuc+KJJVJVbC+DyrQ05k1uTUEl+XACXJPv27UN2djY+/fRTaDQlXaNRo0Z49NFHZY6MqA4zT9WTOQwipZPGmbgALjkRQRBQMtjExEkJmDhZI4qAQabRFq279KbpbggKCkJxcTG+/fZbPPPMM1x4jUgBzC+VHHEisoZT9cgZqQAYWRxCIZg4WWPIB2aHyHPuKZcBF4+7drqHH34YU6ZMwcCBA5GYmIiHHnoIjz76KAYPHozAwMC7FgcR3SKyHDmRTVSCCIiAiVP1yKlwqp6S8L8LWZg1axbS09OxdOlSNG/eHEuXLkWzZs1w/PhxuUMjqpNYVY/INlwAl5wRJ/8oC0ecrNG6l4z8yHVuGfj5+aF///7o378/5syZg6ioKMybNw+fffaZLPEQ1WW3puoRUdX4bCFnVDLGwal6ysDEyRpBuKvT5ZTGxcUFTZo0QV5entyhENVRpVP1WIqWqEoqXuNETolT9ZSEiZMTycrKQkpKikWbr6+vzftv2rQJa9euxXPPPYemTZtCFEV8//332Lx5M1atWuXgaInIFtI1TnwvSGQTJk7kTATpmj0mTkrAxMmJ7Ny5E1FRURZtQ4YMsXn/5s2bw93dHePHj8fFixeh0+lw77334tNPP8WgQYMcHS4R2cBcWVnFF02iKnEBXHJO5gVwOVVPCZg4OYmkpCQkJSXd0TEaN26MTz75xDEBEZFDSG8CmTcRVYmJEzk3vggoAavqEREpGMuRE9nm1pUgfLaQ8xBYXl9RZP9rLF68GI0aNYKrqyuio6OxZ8+eSrf95ptv0L17dwQEBMDb2xvt27fH1q1b72K0tduaNWvg6elZ4VeLFi3kDo+IKsKpekQ2EVhVj5wSp+opiaxT9datW4cxY8Zg8eLF6NixI5YtW4b4+HicPHkSYWFh5bbfvXs3unfvjtmzZ6NevXpYtWoV+vTpg4MHD5a7tofK69u3L9q1a1fhfVqt9i5HQ0S2EKWqejIHQlRLiKykQk6FVfWURNbE6cMPP8SwYcPw8ssvAwDmz5+PrVu3YsmSJZgzZ0657efPn29xe/bs2fjPf/6D77//nomTDby8vODl5SV3GERkh1vFIYioKtKorMjEiZyHeaoeR5yUQbbEqaioCEeOHMGbb75p0R4XF4d9+/bZdAyTyYScnJwqS27r9Xro9XrpdnZ2NgDAYDDAYDBYbFtcXAxRFGE0GmEysYPKSSxds0YURaf/WxiNRoiiiOLi4nJ9kmxn/t052+9Q+vRcNDrdY5Obs/aZuqvkdaPYJNbY35R9huzlqD5TXFz+fSs5hj2/V9kSp+vXr8NoNCIwMNCiPTAwEOnp6TYd44MPPkBeXh4GDBhQ6TZz5szB9OnTy7Vv27YN7u7uFm2CICA4OBgZGRkcmVGInJwcuUOocTk5OcjLy8OPP/4oJYxUfcnJyXKH4FAi3AAAly5ewubNm2WOxjk5W5+pq0xe7oAAnPnrLDafqtnnCvsM2au6fcbdowgqFbBnz26YTGccHBUBQH5+vs3byl6OXLhtLrIoiuXaKvLVV19h2rRp+M9//oMGDRpUut3kyZMxbtw46XZ2djZCQ0MRFxcHb2/vcttfuXIF2dnZcHV1hbu7u02xkOOJooi8vDx4eHg47d9AFEXk5+cjJycHwcHBaNOmjdwh1WoGgwHJycno3r27U12z9843OwAAoQ3vQa9evWSOxrk4a5+pq2bu2w2YgMZNItGrUc8aOQf7DNnrTvvMgQNzUGTIxSOPPAJPz2Y1ECGZZ6PZQrbEyd/fH2q1utzo0tWrV8uNQt1u3bp1GDZsGNavX49u3bpVua1Op4NOpyvXrtVqK+zA99xzD9RqNa5fv27Do6CaIooiCgoK4Obm5rSJk1n9+vURFBTk9I/zbqnsuV1bmafqqQXBqR6Xkjhbn6mrzP9BVSp1jf892WfIXtXuM6WvARpNzffrusqe36tsiZOLiwuio6ORnJyMJ598UmpPTk7GE088Uel+X331FYYOHYqvvvoKjz/+uMPjMk/Xa9CgAeeSyshgMGD37t3o3LmzU/+j0Gq1UKvVcodBCmauqsfiEERVkxbA5bo35EQEVtVTFFmn6o0bNw6DBg1CTEwM2rdvj08++QSpqalITEwEUDLN7tKlS/j8888BlCRNgwcPxoIFC/Dwww9Lo1Vubm7w8fFxaGxqtZpvaGWkVqtRXFwMV1dXp06ciKySBiL5oklUFa7jRE5J4DpOSiJr4vTss8/ixo0bmDFjBtLS0tCyZUts3rwZ4eHhAIC0tDSkpqZK2y9btgzFxcUYOXIkRo4cKbUPGTIESUlJdzt8IqIad2vEiYkTUVWkESeZ4yByLI44KYnsxSFGjBiBESNGVHjf7cnQzp07az4gIiIFMV/jJPBTdKIqmZ8hJj5XyInwf7+ycCIwEZGCcQFcIltxqh45IS6Aqyh8LSYiUrTSESeu8UVUJV7jRM6JU/WUhIkTEZGCSVP1mDgRVUkQSp4jJr61ISdya6kSvgYoAf+7EBEpmHmqnsAXTaIqCdJThCNO5ExYVU9JmDgRESnYrap6fDNIVBUBJW8s+REDORf+71cS2avqERFRFUpfM9P0BTh58qS8sTgZo9GImzdv4vfff+e6fU5ANJUkTtev38BJfc08V9hnyF532meKigwAgHPnz0Ln4u7o8GQXEREBd/fa87iYOBERKZQoijCVvtAeycpE6r//LXNEzuncuXNyh0AOUNzxAUAD/Hbqd1w5f6JGz8U+Q/aqbp+JjsmBuzuwc8cOZGU534dnw4YNY+JERER3ThQBUVUy5OQqqBEaGipzRM5FFEVkZmaifv36ZS7Aptqq9KkCL29vhIZ61Mg52GfIXnfaZzQaLQCgQYMAeHs732uATqeTOwS7MHEiIlIoEbeu1whzdcWwYcPkDMfpGAwGbN68Gb169YJWq5U7HLpDq3d/BxiB1q2j8FyTTjVyDvYZsted9pkDB9cjL+8G4uN7wte3Qw1ESPZgcQgiIoUSRVEqR85/1kRVM5fsF3kxPTkVliNXEo44EREpVNmXSZYjJ7INnynkTHL1rtjwZx/sySpAQ/+zCPDSIcBTB38vHfw9dajnpoVKxQ8L7hYmTkRECiWKAMwjTnw3SFQllVSOnG8iyXns/bsZfjj/CHBeD+BUufs1KgF+ni4IKE2k/D11UnIV7OOKIB9XhNRzg7+nDmomWHeMiRMRkUKJEKVPz/l6R1Q1oYKfiGq7gmIXAEAjPxVaNgzC9Rw9ruXqcT1Xj5v5BhSbRFzJ1uNKtr7K46hVAgK9dAjycUWwj5uUVAX7uCHIxxWh9d0Q4KVj0RMrmDgRESmYdI0TX8uIrCj5mMHExImciCiW9OcHG6rwwfNRFvcVFZtwI0+P6zlFuJZbWPpdj2s5elzNKUR6VsnXlRw9jCYRl7MKcTmrEMDNCs/lqlWhYX13hNZ3Q5ivO0J93dGwvnvpz27wcmVBFCZOREQKJZaZnidwqh5RlQRO1SMnZCotDVRRr3bRqEpHj9wA+FR6DKNJxLUcPdKyCpCeVYi0rEKkZ5d+zyrA5ZuFSMsqQKHBhDNXc3Hmam6Fx6nnrkW4rzsaB3iisb9HyfcADzTy94Crtm4sCM3EiYhIwcxvAnmNE1HVWECFnJGpdMRJdQelVdUqAUGlU/MqYzCacPlmAS5mFCA1Ix8XM/NxMaP0K7MAGXlFuJlvwM38LPzyd5bFvoIAhPi4oXGAB5qUJlORAZ64L8gLfp61a50ma5g4EREplCjemqqn5pATkU04VY+ciSiWZEw1/RqgVasQ7ueBcL+KF4/O1RfjYkY+LtzIw1/X8nD2Wh7OXs/F2Wt5yCow4NLNAly6WYA9p69b7OfvqUOzIC/cV/rVLMgL9zbwgptL7RyhYuJERKRQIkRpfgbfChJV7daIE58t5DxMpYmT3DUbPHUa3B/sjfuDvS3aRVFERl4Rzl7Pw9lrJYnUX9fycPpqDlIz8nE9V4+9Z/TYe+ZWQiUIQISfB+4L9MLrj0WiRUjl0wyVhokTEZFCieKtNWk4VY+oaubEiU8VcibmxEml0FkHgiDAz1MHP08d2kb4WtyXX1SMP6/k4o/0bPyenoM/Sr9u5BXh3PU8nLuehxFdm8gUefUwcSIiUqiSl8nS+e18O0hUJY44kTOSrnNVaOJUFXcXDdqE1kOb0HoW7ddy9PgjPQe/p2fj3gZe8gRXTUyciIgUjOXIiWwjsBw5OSGpOIQTdesAr5JFeh+511/uUOx2BzU6iIioJoll6pGr+GaQqErmcuQccSJnYpKKQ8gcCAFg4kREpFgiANFcHEKsfdM0iO4uXuNEzse8jpOKF7oqAhMnIiKFKikOYS5HLnMwRAp3qzgEnyzkPMTST8/Yq5WBiRMRkVKJuFWOnB82EtmEiRM5E/M1TmqOOCkCEyciIoUSy2ROrKpHVDVV6TVO5k/oiZyBtI4TXwMUgYkTEZFCieKta5z4YSORNaVT9Zg3kRO5NeIkcyAEgIkTEZGi8RonItuYC6hwxImcifk1QOB8bUVg4kREpFAiAJjXcZI1EiLlM7+x5NtLcibmqXqcrq0MfC0mIlIok8kk/cwXTaKqSVX1BI44kfOQFsDlfG1FYOJERKRQpjI/q2WLgqiW4FQ9ckJcAFdZmDgRESmUqcwHjJzeTlQ1wVxVT+Y4iBzJJK3jxJ6tBEyciIgUylTmhVLFTxuJqsQFcMkZmfuzip+eKQITJyIihRLLzNXjW0Eia1gcgpwPr3FSFiZOREQKJZZ5C6gW+aJJVBWOOJEzYlU9ZWHiRESkUGWLQ/CtIFHVbl0DwmcLOQ9pxIndWhGYOBERKVTZ4hD8Z01UNYFT9cgJmatECpyqpwh8LSYiUiiTyKl6RLZjOXJyPtKIEz8SUAQmTkRECmVZjpwvmkRVUZnLkTNvIidiTpzUrKqnCEyciIgUquw1TiqB7waJqiQtgCtzHEQOJK3jxMRJEZg4EREplKlMPXIV3w0SVYlV9cgZcR0nZWHiRESkUKJFcQi+aBJVRTBP1WPiRE7EaGLipCRMnIiIFMqiqh5fM4msYFU9cj4ccVIWJk5ERApV9mWS/6yJqsZ1nMgZGc3XOPEjAUXgazERkUJxHScie5Q8YUxWtiKqTcTSqXpqTjtQBL4WExEplAksDkFkq1vXOBE5DxPMVfX4kYASMHEiIlKosiNOapYjJ6qSNJWJCzmRE+ECuMrCxImISKHKJk5cnIaoaubEycS8iZwI13FSFiZOREQKZSpNlgRR5D9rIiuE0nXPRI44kRORRpyYOCkCX4uJiBRKrOAnIqoMnyfkfMwzD9RMnBSBiRMRkUJJxZVFQMUP0YmqJEjrOPHJQs7j1lQ9FodQAiZOREQKZZSua+JbQaKqiKIIliMnZ8SpesrCxImISKFE8zVOJTdkjYVI2USp6hifKeRMblXV40cCSsDEiYhIoczFISCCI05EVbo14sRnCzkT88uAwAVwFYGJExGRQhlN5hEnEQJHnIgqJYrirXLkfKqQE+E6TsrCxImISKGMpltTMwQugEtUBROLQ5BTMidOrKqnDEyciIgUSiyzjhPfChJV5daIE5EzMUozUHmNkxIwcSIiUihjmel5/LCRqHJimesA+VQhZyKNOLE4hCIwcSIiUihT6VQ9AbzcnahqJgilbyz59pKciVQcgp+eKQITJyIihZKmaIgsDkFUtbLTWfkxAzkPqTgEq+opAhMnIiKFMom3Rpz4z5qocmUXwOXbS3IWoijeSpxEjqUqAV+LiYgUqmw5ci6AS1QVliMn51O2LwsqJk5KwMSJiEihzCNOEFmOnKhqrKpHzsdU5gMzFa9xUgQmTkRESiWW+4GIKlB2AVwW7ydnYSwz5KRi2RNFYOJERKRQxjJV9Zg8EVWF1ziR8yk74sSqesrAxImISKGM5uIQvL6JyAoTVOZrnGSOhMhRLEacuACuIjBxIiJSKFPZK4OZPBFVqmxVPQ45kbMo+xKgYsdWBCZOREQKZX7R5IgTkTW3rmziNU7kLMp+eCYIRhkjITMmTkREClV2HSeRyRNRpcSy5chljoXIUYysqqc4TJyIiBRKetFk0kRUNYuqeny+kHMwSWv5mTiOqhBMnIiIlEo0v2gSUdXKJk5EzsH84ZlKECFyLFURmDgRESnUrYpKIt8NElWpTDlyPlfISUjXuQom8EVAGZg4EREplHkND05tJ6qaKN4qR86nCzkL81Q9FUSIIkeclED2xGnx4sVo1KgRXF1dER0djT179lS5/a5duxAdHQ1XV1c0btwYS5cuvUuREhHdXeZrNQRR5MfoRFXiArjkfMyzDjjipByyJk7r1q3DmDFj8NZbb+HYsWPo1KkT4uPjkZqaWuH2586dQ69evdCpUyccO3YMU6ZMwahRo7Bhw4a7HDkRUc0zmW5V1SOiqknlyPkhAzmJW9c4mfjhmUIIooz/Ydq1a4cHH3wQS5Yskdruv/9+9OvXD3PmzCm3/aRJk/Ddd9/h1KlTUltiYiJ++eUX7N+/36ZzZmdnw8fHB1lZWfD29r7zB3EHPv9pL3b/8YesMSiVCKCwsACurm5800g2ccY+c82kwQn3MHgV5WLE2a1wCW0od0hOxWQSkZGRCV/f+lCpnKXX1E0mQY89bsXYLTyK8GI9OurzauY8JiMyMm/Ct349qFTqGjkHOZc76TM5BmBrKqDTFmFoh5/gUXRvDUUpnx4PxqNhaFNZY7AnN9DcpZjKKSoqwpEjR/Dmm29atMfFxWHfvn0V7rN//37ExcVZtPXo0QMrVqyAwWCAVqstt49er4der5duZ2dnAwAMBgMMBsOdPow78u3x3/Ft+nhZYyCiWkIF4JLcQTipNLkDIEcYCgD4+O6cjH2G7FXdPuNa+v2gowJRlu9dPBAY1EjWGOzJB2RLnK5fvw6j0YjAwECL9sDAQKSnp1e4T3p6eoXbFxcX4/r16wgODi63z5w5czB9+vRy7du2bYO7u/sdPII752EqlPX8RERERERyuXIxHZs3b5Y1hvz8fJu3lS1xMhMEy+kRoiiWa7O2fUXtZpMnT8a4ceOk29nZ2QgNDUVcXJzsU/XiioqQfqmLrDEolbHYiEOHf8ZDMW2h1nA6BFnHPkP2Yp8he7HPkL3YZ6r2wj2NoXFxkTUG82w0W8iWOPn7+0OtVpcbXbp69Wq5USWzoKCgCrfXaDTw8/OrcB+dTgedTleuXavVVji1727SarVwa9pK1hiUymAwQHX6Ahrc20L2vxPVDuwzZC/2GbIX+wzZi31G+ez5u8hWVc/FxQXR0dFITk62aE9OTkaHDh0q3Kd9+/bltt+2bRtiYmLYGYmIiIiIqMbIWo583Lhx+PTTT7Fy5UqcOnUKY8eORWpqKhITEwGUTLMbPHiwtH1iYiIuXLiAcePG4dSpU1i5ciVWrFiBN954Q66HQEREREREdYCs1zg9++yzuHHjBmbMmIG0tDS0bNkSmzdvRnh4OAAgLS3NYk2nRo0aYfPmzRg7diz+7//+DyEhIfj444/x9NNPy/UQiIiIiIioDpC9OMSIESMwYsSICu9LSkoq19alSxccPXq0hqMiIiIiIiK6RdapekRERERERLUBEyciIiIiIiIrmDgRERERERFZwcSJiIiIiIjICiZOREREREREVjBxIiIiIiIisoKJExERERERkRVMnIiIiIiIiKxg4kRERERERGQFEyciIiIiIiIrmDgRERERERFZwcSJiIiIiIjICiZOREREREREVmjkDuBuE0URAJCdnS1zJFQVg8GA/Px8ZGdnQ6vVyh0O1QLsM2Qv9hmyF/sM2Yt9RvnMOYE5R6hKnUuccnJyAAChoaEyR0JEREREREqQk5MDHx+fKrcRRFvSKydiMplw+fJleHl5QRAEucOhSmRnZyM0NBQXL16Et7e33OFQLcA+Q/ZinyF7sc+QvdhnlE8UReTk5CAkJAQqVdVXMdW5ESeVSoWGDRvKHQbZyNvbm/9oyC7sM2Qv9hmyF/sM2Yt9RtmsjTSZsTgEERERERGRFUyciIiIiIiIrGDiRIqk0+kwdepU6HQ6uUOhWoJ9huzFPkP2Yp8he7HPOJc6VxyCiIiIiIjIXhxxIiIiIiIisoKJExERERERkRVMnIiIiIiIiKxg4kRERERERGQFEyeSzZw5cyAIAsaMGSO1iaKIadOmISQkBG5uboiNjcVvv/1msZ9er8frr78Of39/eHh4oG/fvvj777/vcvR0t1y6dAkvvvgi/Pz84O7ujjZt2uDIkSPS/ewzVFZxcTHefvttNGrUCG5ubmjcuDFmzJgBk8kkbcM+U7ft3r0bffr0QUhICARBwMaNGy3ud1T/yMzMxKBBg+Dj4wMfHx8MGjQIN2/erOFHRzWhqj5jMBgwadIktGrVCh4eHggJCcHgwYNx+fJli2OwzzgHJk4ki59//hmffPIJHnjgAYv2uXPn4sMPP8SiRYvw888/IygoCN27d0dOTo60zZgxY/Dtt99i7dq12Lt3L3Jzc9G7d28Yjca7/TCohmVmZqJjx47QarX44YcfcPLkSXzwwQeoV6+etA37DJX13nvvYenSpVi0aBFOnTqFuXPn4v3338fChQulbdhn6ra8vDy0bt0aixYtqvB+R/WPgQMHIiUlBVu2bMGWLVuQkpKCQYMG1fjjI8erqs/k5+fj6NGj+Oc//4mjR4/im2++wZ9//om+fftabMc+4yREorssJydHvPfee8Xk5GSxS5cu4ujRo0VRFEWTySQGBQWJ7777rrRtYWGh6OPjIy5dulQURVG8efOmqNVqxbVr10rbXLp0SVSpVOKWLVvu6uOgmjdp0iTxkUceqfR+9hm63eOPPy4OHTrUou2pp54SX3zxRVEU2WfIEgDx22+/lW47qn+cPHlSBCAeOHBA2mb//v0iAPH333+v4UdFNen2PlORQ4cOiQDECxcuiKLIPuNMOOJEd93IkSPx+OOPo1u3bhbt586dQ3p6OuLi4qQ2nU6HLl26YN++fQCAI0eOwGAwWGwTEhKCli1bStuQ8/juu+8QExOD/v37o0GDBoiKisLy5cul+9ln6HaPPPIItm/fjj///BMA8Msvv2Dv3r3o1asXAPYZqpqj+sf+/fvh4+ODdu3aSds8/PDD8PHxYR+qA7KysiAIgjQ7gn3GeWjkDoDqlrVr1+Lo0aP4+eefy92Xnp4OAAgMDLRoDwwMxIULF6RtXFxcUL9+/XLbmPcn53H27FksWbIE48aNw5QpU3Do0CGMGjUKOp0OgwcPZp+hciZNmoSsrCw0a9YMarUaRqMRs2bNwvPPPw+A/2eoao7qH+np6WjQoEG54zdo0IB9yMkVFhbizTffxMCBA+Ht7Q2AfcaZMHGiu+bixYsYPXo0tm3bBldX10q3EwTB4rYoiuXabmfLNlT7mEwmxMTEYPbs2QCAqKgo/Pbbb1iyZAkGDx4sbcc+Q2br1q3D6tWr8eWXX6JFixZISUnBmDFjEBISgiFDhkjbsc9QVRzRPyrann3IuRkMBjz33HMwmUxYvHix1e3ZZ2ofTtWju+bIkSO4evUqoqOjodFooNFosGvXLnz88cfQaDTSJ3y3f7Jy9epV6b6goCAUFRUhMzOz0m3IeQQHB6N58+YWbffffz9SU1MBlPQHgH2GbpkwYQLefPNNPPfcc2jVqhUGDRqEsWPHYs6cOQDYZ6hqjuofQUFBuHLlSrnjX7t2jX3ISRkMBgwYMADnzp1DcnKyNNoEsM84EyZOdNc89thjOH78OFJSUqSvmJgYvPDCC0hJSUHjxo0RFBSE5ORkaZ+ioiLs2rULHTp0AABER0dDq9VabJOWloYTJ05I25Dz6NixI/744w+Ltj///BPh4eEAgEaNGrHPkIX8/HyoVJYvbWq1WipHzj5DVXFU/2jfvj2ysrJw6NAhaZuDBw8iKyuLfcgJmZOm06dP43//+x/8/Pws7mefcSIyFaUgEkVRtKiqJ4qi+O6774o+Pj7iN998Ix4/flx8/vnnxeDgYDE7O1vaJjExUWzYsKH4v//9Tzx69Kj46KOPiq1btxaLi4tleARUkw4dOiRqNBpx1qxZ4unTp8U1a9aI7u7u4urVq6Vt2GeorCFDhoj33HOPuGnTJvHcuXPiN998I/r7+4sTJ06UtmGfqdtycnLEY8eOiceOHRMBiB9++KF47NgxqQKao/pHz549xQceeEDcv3+/uH//frFVq1Zi79697/rjpTtXVZ8xGAxi3759xYYNG4opKSliWlqa9KXX66VjsM84ByZOJKvbEyeTySROnTpVDAoKEnU6ndi5c2fx+PHjFvsUFBSIr732mujr6yu6ubmJvXv3FlNTU+9y5HS3fP/992LLli1FnU4nNmvWTPzkk08s7mefobKys7PF0aNHi2FhYaKrq6vYuHFj8a233rJ4A8M+U7ft2LFDBFDua8iQIaIoOq5/3LhxQ3zhhRdELy8v0cvLS3zhhRfEzMzMu/QoyZGq6jPnzp2r8D4A4o4dO6RjsM84B0EURfFuj3IRERERERHVJrzGiYiIiIiIyAomTkRERERERFYwcSIiIiIiIrKCiRMREREREZEVTJyIiIiIiIisYOJERERERERkBRMnIiIiIiIiK5g4ERERKdCKFSsQFxdn8/Z6vR5hYWE4cuRIDUZFRFR3MXEiIqJKCYJQ5VdCQoLcITpcbGwsxowZI2sMer0e77zzDv75z38CACIiIqr8O8TGxkKn0+GNN97ApEmTZI2diMhZaeQOgIiIlCstLU36ed26dXjnnXfwxx9/SG1ubm5yhFUtBoMBWq22Vpxvw4YN8PT0RKdOnQAAP//8M4xGIwBg3759ePrpp/HHH3/A29sbAODi4gIAeOGFFzBhwgScOnUK999/vwMeBRERmXHEiYiIKhUUFCR9+fj4QBAEi7bdu3cjOjoarq6uaNy4MaZPn47i4mJpf0EQsGzZMvTu3Rvu7u64//77sX//fpw5cwaxsbHw8PBA+/bt8ddff0n7TJs2DW3atMGyZcsQGhoKd3d39O/fHzdv3rSIbdWqVbj//vvh6uqKZs2aYfHixdJ958+fhyAI+Pe//43Y2Fi4urpi9erVuHHjBp5//nk0bNgQ7u7uaNWqFb766itpv4SEBOzatQsLFiyQRnPOnz+PpKQk1KtXz+L8GzduhCAI5eJeuXIlGjduDJ1OB1EUkZWVhX/84x9o0KABvL298eijj+KXX36p8ve+du1a9O3bV7odEBAg/c59fX0BAA0aNCjX5ufnhw4dOlg8JiIicgwmTkREVC1bt27Fiy++iFGjRuHkyZNYtmwZkpKSMGvWLIvt/vWvf2Hw4MFISUlBs2bNMHDgQLzyyiuYPHkyDh8+DAB47bXXLPY5c+YM/v3vf+P777/Hli1bkJKSgpEjR0r3L1++HG+99RZmzZqFU6dOYfbs2fjnP/+Jzz77zOI4kyZNwqhRo3Dq1Cn06NEDhYWFiI6OxqZNm3DixAn84x//wKBBg3Dw4EEAwIIFC9C+fXsMHz4caWlpSEtLQ2hoqM2/E3PcGzZsQEpKCgDg8ccfR3p6OjZv3owjR47gwQcfxGOPPYaMjIxKj7Nnzx7ExMTYfN6yHnroIezZs6da+xIRURVEIiIiG6xatUr08fGRbnfq1EmcPXu2xTZffPGFGBwcLN0GIL799tvS7f3794sAxBUrVkhtX331lejq6irdnjp1qqhWq8WLFy9KbT/88IOoUqnEtLQ0URRFMTQ0VPzyyy8tzv2vf/1LbN++vSiKonju3DkRgDh//nyrj6tXr17i+PHjpdtdunQRR48eXeVjF0VR/Pbbb8WyL6NTp04VtVqtePXqValt+/btore3t1hYWGixb5MmTcRly5ZVGE9mZqYIQNy9e3eF9+/YsUMEIGZmZlZ4/4IFC8SIiIgK7yMiourjNU5ERFQtR44cwc8//2wxwmQ0GlFYWIj8/Hy4u7sDAB544AHp/sDAQABAq1atLNoKCwuRnZ0tXbMTFhaGhg0bStu0b98eJpMJf/zxB9RqNS5evIhhw4Zh+PDh0jbFxcXw8fGxiPH2URuj0Yh3330X69atw6VLl6DX66HX6+Hh4XGnvw4AQHh4OAICAqTbR44cQW5uLvz8/Cy2KygosJieePt9AODq6lqtGNzc3JCfn1+tfYmIqHJMnIiIqFpMJhOmT5+Op556qtx9Zd/0ly2QYL4mqKI2k8lU6bnM2wiCIG23fPlytGvXzmI7tVptcfv2hOiDDz7ARx99hPnz56NVq1bw8PDAmDFjUFRUVPkDBaBSqSCKokWbwWAot93t5zOZTAgODsbOnTvLbXv7NVNmfn5+EAQBmZmZVcZUmYyMDIvkjYiIHIOJExERVcuDDz6IP/74A5GRkQ4/dmpqKi5fvoyQkBAAwP79+6FSqdC0aVMEBgbinnvuwdmzZ/HCCy/Yddw9e/bgiSeewIsvvgigJLE5ffq0RQU6FxcXqYKdWUBAAHJycpCXlyclR+ZrmKry4IMPIj09HRqNBhERETbF6OLigubNm+PkyZN2reNkduLECURFRdm9HxERVY3FIYiIqFreeecdfP7555g2bRp+++03nDp1CuvWrcPbb799x8d2dXXFkCFD8Msvv2DPnj0YNWoUBgwYgKCgIAAlFezmzJmDBQsW4M8//8Tx48exatUqfPjhh1UeNzIyEsnJydi3bx9OnTqFV155Benp6RbbRERE4ODBgzh//jyuX78Ok8mEdu3awd3dHVOmTMGZM2fw5ZdfIikpyerj6NatG9q3b49+/fph69atOH/+PPbt24e3335bKoxRkR49emDv3r3Wf1EV2LNnT7USLiIiqhoTJyIiqpYePXpg06ZNSE5ORtu2bfHwww/jww8/RHh4+B0fOzIyEk899RR69eqFuLg4tGzZ0qLc+Msvv4xPP/0USUlJaNWqFbp06YKkpCQ0atSoyuP+85//xIMPPogePXogNjYWQUFB6Nevn8U2b7zxBtRqNZo3b46AgACkpqbC19cXq1evxubNm6US5tOmTbP6OARBwObNm9G5c2cMHToUTZs2xXPPPYfz589L13tVZPjw4di8eTOysrKsnqOs/fv3IysrC88884xd+xERkXWCePukbSIiIhlNmzYNGzdutGkqnDMbMGAAoqKiMHnyZJv36d+/P6KiojBlypQajIyIqG7iiBMREZECvf/++/D09LR5e71ej9atW2Ps2LE1GBURUd3FESciIlIUjjgREZESMXEiIiIiIiKyglP1iIiIiIiIrGDiREREREREZAUTJyIiIiIiIiuYOBEREREREVnBxImIiIiIiMgKJk5ERERERERWMHEiIiIiIiKygokTERERERGRFUyciIiIiIiIrPh/kdqel9W56JQAAAAASUVORK5CYII=", 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", 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" ] @@ -279,7 +273,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -287,7 +281,7 @@ "output_type": "stream", "text": [ "The MHDB currently supports 31 hydride systems:\n", - "{'ZrH2', 'YH3', 'KBH4', 'NiH', 'CaH2', 'LiBH4', 'MgH', 'B5H9', 'LiH', 'BeH2', 'CaH', 'RbH', 'ZrH', 'BeH', 'AlH2', 'FeH', 'KH', 'BH2', 'LiAlH4', 'SrH', 'AlH3', 'SrH2', 'BH3', 'B5H7', 'NaH', 'NaBH4', 'MgH2', 'AlH', 'TiH2', 'YH2', 'BH'}\n" + "{'NiH', 'B5H7', 'MgH', 'B5H9', 'RbH', 'MgH2', 'BH2', 'BeH2', 'TiH2', 'AlH3', 'BeH', 'CaH2', 'BH', 'SrH', 'LiH', 'FeH', 'NaBH4', 'KBH4', 'LiBH4', 'SrH2', 'YH3', 'ZrH2', 'AlH2', 'KH', 'CaH', 'NaH', 'LiAlH4', 'YH2', 'AlH', 'BH3', 'ZrH'}\n" ] } ], @@ -308,7 +302,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Also, if you have your own data, you can re-run this Notebook specifying your new system, including both new and built-in data from MHDB! Please refer to the [`NewData.ipynb`](NewData.ipynb) Notebook on the left panel for further examples." + "Also, if you have your own tdb data, you can re-run this Notebook specifying your new system, including both new and built-in data from MHDB! Please refer to the [`NewData.ipynb`](NewData.ipynb) Notebook on the left panel for further examples." ] } ], @@ -328,7 +322,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.2" + "version": "3.12.3" } }, "nbformat": 4,