diff --git a/.gitignore b/.gitignore
index 3c1b062..4478882 100644
--- a/.gitignore
+++ b/.gitignore
@@ -17,3 +17,6 @@ __pycache__
 htmlcov/
 coverage.xml
 .coverage
+
+/notebooks/*.html
+temp
diff --git a/TCT/TCT.py b/TCT/TCT.py
index c327d62..e182e95 100644
--- a/TCT/TCT.py
+++ b/TCT/TCT.py
@@ -631,7 +631,8 @@ def visulization_one_hop_ranking_input_as_list(result_ranked_by_primary_infores,
                                  output_png1="NE_heatmap1.png",
                                  output_png2="NE_heatmap2.png"
                                  ):
-    # edited Dec 5, 2023
+    
+    # if result_parsed is empty, print a message and return an empty dataframe
     predicates_list = []
     primary_infore_list = []
     aggregator_infore_list = []
@@ -745,106 +746,109 @@ def visulization_one_hop_ranking(result_ranked_by_primary_infores,result_parsed
                                  output_png2="NE_heatmap2.png"
                                  ):
     # edited Dec 5, 2023
-    predicates_list = []
-    primary_infore_list = []
-    aggregator_infore_list = []
-
-    for i in range(0, result_ranked_by_primary_infores.shape[0]):
-        oupput_node = result_ranked_by_primary_infores['output_node'][i]
-        type_of_node = result_ranked_by_primary_infores['type_of_nodes'][i]
-        if type_of_node == 'object':
-            subject = input_query
-            object = oupput_node
-        else:
-            subject = oupput_node
-            object = input_query
 
-        predicates_list = predicates_list + result_parsed[subject + "_" + object]['predicate']
-        primary_infore_list = primary_infore_list + result_parsed[subject + "_" + object]['primary_knowledge_source']
-
-        if 'aggregator_knowledge_source' in result_parsed[subject + "_" + object]:
-            aggregator_infore_list = aggregator_infore_list + result_parsed[subject + "_" + object]['aggregator_knowledge_source']
-            aggregator_infore_list = list(set(aggregator_infore_list))
-
-        predicates_list = list(set(predicates_list))
-        primary_infore_list = list(set(primary_infore_list))
+    if result_parsed == {}:
+        print("No results found in result_parsed. Please check your input data.")
+        return pd.DataFrame()  # Return an empty DataFrame if there are no results
+    
+    else:
+        predicates_list = []
+        primary_infore_list = []
+        aggregator_infore_list = []
+
+        for i in range(0, result_ranked_by_primary_infores.shape[0]):
+            oupput_node = result_ranked_by_primary_infores['output_node'][i]
+            type_of_node = result_ranked_by_primary_infores['type_of_nodes'][i]
+            if type_of_node == 'object':
+                subject = input_query
+                object = oupput_node
+            else:
+                subject = oupput_node
+                object = input_query
 
+            predicates_list = predicates_list + result_parsed[subject + "_" + object]['predicate']
+            primary_infore_list = primary_infore_list + result_parsed[subject + "_" + object]['primary_knowledge_source']
 
-    predicates_by_nodes = {}
-    for predict in predicates_list:
-        predicates_by_nodes[predict] = []
+            if 'aggregator_knowledge_source' in result_parsed[subject + "_" + object]:
+                aggregator_infore_list = aggregator_infore_list + result_parsed[subject + "_" + object]['aggregator_knowledge_source']
+                aggregator_infore_list = list(set(aggregator_infore_list))
 
-    primary_infore_by_nodes = {}
-    for predict in primary_infore_list:
-        primary_infore_by_nodes[predict] = []
+            predicates_list = list(set(predicates_list))
+            primary_infore_list = list(set(primary_infore_list))
 
-    aggregator_infore_by_nodes = {}
-    for predict in aggregator_infore_list:
-        aggregator_infore_by_nodes[predict] = []
 
-    names = []
-    for i in range(0, result_ranked_by_primary_infores.shape[0]):
-    #for i in range(0, 10):
-        oupput_node = result_ranked_by_primary_infores['output_node'].values[i]
-        names.append(oupput_node)
-        type_of_node = result_ranked_by_primary_infores['type_of_nodes'].values[i]
-        if type_of_node == 'object':
-            subject = input_query
-            object = oupput_node
-        else:
-            subject = oupput_node
-            object = input_query
-        new_id = subject + "_" + object
+        predicates_by_nodes = {}
+        for predict in predicates_list:
+            predicates_by_nodes[predict] = []
 
-        cur_primary_infore = result_parsed[new_id]['primary_knowledge_source']
+        primary_infore_by_nodes = {}
         for predict in primary_infore_list:
-            if predict in cur_primary_infore:
-                primary_infore_by_nodes[predict].append(1)
+            primary_infore_by_nodes[predict] = []
+
+        aggregator_infore_by_nodes = {}
+        for predict in aggregator_infore_list:
+            aggregator_infore_by_nodes[predict] = []
+
+        names = []
+        for i in range(0, result_ranked_by_primary_infores.shape[0]):
+        #for i in range(0, 10):
+            oupput_node = result_ranked_by_primary_infores['output_node'].values[i]
+            names.append(oupput_node)
+            type_of_node = result_ranked_by_primary_infores['type_of_nodes'].values[i]
+            if type_of_node == 'object':
+                subject = input_query
+                object = oupput_node
             else:
-                primary_infore_by_nodes[predict].append(0)
+                subject = oupput_node
+                object = input_query
+            new_id = subject + "_" + object
+
+            cur_primary_infore = result_parsed[new_id]['primary_knowledge_source']
+            for predict in primary_infore_list:
+                if predict in cur_primary_infore:
+                    primary_infore_by_nodes[predict].append(1)
+                else:
+                    primary_infore_by_nodes[predict].append(0)
 
 
 
-        cur_predicates = result_parsed[new_id]['predicate']
-        for predict in predicates_list:
-            if predict in cur_predicates:
-                predicates_by_nodes[predict].append(1)
-            else:
-                predicates_by_nodes[predict].append(0)
-
-    #convert = False
-
-    #for item in colnames:
-    #    if 'NCBIGene' in item:
-    #        convert = True
-    #if convert:
-        #Gene_id_map = Gene_id_converter(colnames, "http://127.0.0.1:8000/query_name_by_id") # option 1
-        #Gene_id_map = Generate_Gene_id_map() # option 2
+            cur_predicates = result_parsed[new_id]['predicate']
+            for predict in predicates_list:
+                if predict in cur_predicates:
+                    predicates_by_nodes[predict].append(1)
+                else:
+                    predicates_by_nodes[predict].append(0)
 
-    dic_id_map = ID_convert_to_preferred_name_nodeNormalizer(names)
-    new_colnames = []
-    for item in names:
-        if item in dic_id_map:
-            new_colnames.append(dic_id_map[item])
-        else:
-            new_colnames.append(item)
+        dic_id_map = ID_convert_to_preferred_name_nodeNormalizer(names)
+        new_colnames = []
+        for item in names:
+            if item in dic_id_map:
+                new_colnames.append(dic_id_map[item])
+            else:
+                new_colnames.append(item)
 
-    #else:
-    #    new_colnames = colnames
 
-    primary_infore_by_nodes_df = pd.DataFrame(primary_infore_by_nodes)
-    primary_infore_by_nodes_df.index = new_colnames
-    primary_infore_by_nodes_df = primary_infore_by_nodes_df.T
+        primary_infore_by_nodes_df = pd.DataFrame(primary_infore_by_nodes)
+        primary_infore_by_nodes_df.index = new_colnames
+        primary_infore_by_nodes_df = primary_infore_by_nodes_df.T
 
 
-    predicates_by_nodes_df = pd.DataFrame(predicates_by_nodes)
-    predicates_by_nodes_df.index = new_colnames
-    predicates_by_nodes_df = predicates_by_nodes_df.T
+        predicates_by_nodes_df = pd.DataFrame(predicates_by_nodes)
+        predicates_by_nodes_df.index = new_colnames
+        predicates_by_nodes_df = predicates_by_nodes_df.T
 
-    plot_heatmap(primary_infore_by_nodes_df, num_of_nodes, fontsize, title_fontsize,output_png1)
-    plot_heatmap(predicates_by_nodes_df, num_of_nodes, fontsize, title_fontsize,output_png2)
+        if not primary_infore_by_nodes_df.empty:
+            plot_heatmap(primary_infore_by_nodes_df, num_of_nodes, fontsize, title_fontsize, output_png1)
+        else:
+            print("No primary infores found in primary_infore_by_nodes_df.")
 
-    return(predicates_by_nodes_df)
+        if not predicates_by_nodes_df.empty:
+            plot_heatmap(predicates_by_nodes_df, num_of_nodes, fontsize, title_fontsize, output_png2)
+        else:
+            print("No predicates found in predicates_by_nodes_df.")
+            return pd.DataFrame()  # Return empty if there's no predicate data to plot
+        
+        return(predicates_by_nodes_df)
 
 def plot_heatmap(predicates_by_nodes_df,num_of_nodes = 20,
                                  fontsize = 6,
@@ -862,22 +866,26 @@ def plot_heatmap(predicates_by_nodes_df,num_of_nodes = 20,
 
     # create the heatmap
     # heatmap with border
-    p1 = sns.heatmap(df, cmap="Blues", cbar=False, ax=ax, linecolor='grey', linewidth=0.2)
-    # Adjust font size for x and y tick labels
-    p1.set_xticklabels(p1.get_xticklabels(), rotation=90, fontsize=fontsize)
-    p1.set_yticklabels(p1.get_yticklabels(), fontsize=fontsize)
-
-    #p1.set_title(title)
-    #p1.set_ylabel(ylab)
-    print(p1.get_xticklabels())
-    # set xticklabels with colnames
-
-    #p1.set_xticklabels(colnames, rotation=90, fontsize = fontsize)
-    plt.xticks(ticks=range(len(df.columns)), labels=df.columns)
-
-        # set title font size
-    p1.title.set_size(title_fontsize)
-    plt.show()
+    if df.empty:
+        print("No data to plot in the heatmap. Please check your input data.")
+        return()
+    else:
+        p1 = sns.heatmap(df, cmap="Blues", cbar=False, ax=ax, linecolor='grey', linewidth=0.2)
+        # Adjust font size for x and y tick labels
+        p1.set_xticklabels(p1.get_xticklabels(), rotation=90, fontsize=fontsize)
+        p1.set_yticklabels(p1.get_yticklabels(), fontsize=fontsize)
+
+        #p1.set_title(title)
+        #p1.set_ylabel(ylab)
+        print(p1.get_xticklabels())
+        # set xticklabels with colnames
+
+        #p1.set_xticklabels(colnames, rotation=90, fontsize = fontsize)
+        plt.xticks(ticks=range(len(df.columns)), labels=df.columns)
+
+            # set title font size
+        p1.title.set_size(title_fontsize)
+        plt.show()
     # save the figure
     #plt.savefig(output_png, bbox_inches='tight', dpi=300)
 
diff --git a/notebooks/Name_resolver.ipynb b/notebooks/Name_resolver.ipynb
new file mode 100644
index 0000000..2985baa
--- /dev/null
+++ b/notebooks/Name_resolver.ipynb
@@ -0,0 +1,91 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "9f40dfae",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "import sys\n",
+    "import os\n",
+    "sys.path.append('../TCT/')\n",
+    "import name_resolver\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "41a839ad",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[TranslatorNode(curie='CHEBI:83766', label='Olaparib', types=['biolink:SmallMolecule', 'biolink:MolecularEntity', 'biolink:ChemicalEntity', 'biolink:PhysicalEssence', 'biolink:ChemicalOrDrugOrTreatment', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:ChemicalEntityOrProteinOrPolypeptide', 'biolink:NamedThing', 'biolink:Entity', 'biolink:PhysicalEssenceOrOccurrent', 'biolink:Drug', 'biolink:OntologyClass', 'biolink:MolecularMixture', 'biolink:ChemicalMixture'], synonyms=None, curie_synonyms=None, attributes=None, taxa=[]),\n",
+       " TranslatorNode(curie='UNII:ZMX54372EH', label='Olaparib-bodipy FL', types=['biolink:SmallMolecule', 'biolink:MolecularEntity', 'biolink:ChemicalEntity', 'biolink:PhysicalEssence', 'biolink:ChemicalOrDrugOrTreatment', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:ChemicalEntityOrProteinOrPolypeptide', 'biolink:NamedThing', 'biolink:Entity', 'biolink:PhysicalEssenceOrOccurrent'], synonyms=None, curie_synonyms=None, attributes=None, taxa=[]),\n",
+       " TranslatorNode(curie='PUBCHEM.COMPOUND:76974060', label='Olaparib-d8', types=['biolink:SmallMolecule', 'biolink:MolecularEntity', 'biolink:ChemicalEntity', 'biolink:PhysicalEssence', 'biolink:ChemicalOrDrugOrTreatment', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:ChemicalEntityOrProteinOrPolypeptide', 'biolink:NamedThing', 'biolink:Entity', 'biolink:PhysicalEssenceOrOccurrent'], synonyms=None, curie_synonyms=None, attributes=None, taxa=[]),\n",
+       " TranslatorNode(curie='PUBCHEM.COMPOUND:131708411', label='Olaparib-d4', types=['biolink:SmallMolecule', 'biolink:MolecularEntity', 'biolink:ChemicalEntity', 'biolink:PhysicalEssence', 'biolink:ChemicalOrDrugOrTreatment', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:ChemicalEntityOrProteinOrPolypeptide', 'biolink:NamedThing', 'biolink:Entity', 'biolink:PhysicalEssenceOrOccurrent'], synonyms=None, curie_synonyms=None, attributes=None, taxa=[]),\n",
+       " TranslatorNode(curie='PUBCHEM.COMPOUND:145925627', label='Olaparib-d5', types=['biolink:SmallMolecule', 'biolink:MolecularEntity', 'biolink:ChemicalEntity', 'biolink:PhysicalEssence', 'biolink:ChemicalOrDrugOrTreatment', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:ChemicalEntityOrProteinOrPolypeptide', 'biolink:NamedThing', 'biolink:Entity', 'biolink:PhysicalEssenceOrOccurrent'], synonyms=None, curie_synonyms=None, attributes=None, taxa=[]),\n",
+       " TranslatorNode(curie='PUBCHEM.COMPOUND:3636021', label='Olaparib Impurity 77', types=['biolink:SmallMolecule', 'biolink:MolecularEntity', 'biolink:ChemicalEntity', 'biolink:PhysicalEssence', 'biolink:ChemicalOrDrugOrTreatment', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:ChemicalEntityOrProteinOrPolypeptide', 'biolink:NamedThing', 'biolink:Entity', 'biolink:PhysicalEssenceOrOccurrent'], synonyms=None, curie_synonyms=None, attributes=None, taxa=[]),\n",
+       " TranslatorNode(curie='PUBCHEM.COMPOUND:129142036', label='Olaparib impurity 15', types=['biolink:SmallMolecule', 'biolink:MolecularEntity', 'biolink:ChemicalEntity', 'biolink:PhysicalEssence', 'biolink:ChemicalOrDrugOrTreatment', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:ChemicalEntityOrProteinOrPolypeptide', 'biolink:NamedThing', 'biolink:Entity', 'biolink:PhysicalEssenceOrOccurrent'], synonyms=None, curie_synonyms=None, attributes=None, taxa=[]),\n",
+       " TranslatorNode(curie='PUBCHEM.COMPOUND:132103527', label='Olaparib impurity 14', types=['biolink:SmallMolecule', 'biolink:MolecularEntity', 'biolink:ChemicalEntity', 'biolink:PhysicalEssence', 'biolink:ChemicalOrDrugOrTreatment', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:ChemicalEntityOrProteinOrPolypeptide', 'biolink:NamedThing', 'biolink:Entity', 'biolink:PhysicalEssenceOrOccurrent'], synonyms=None, curie_synonyms=None, attributes=None, taxa=[]),\n",
+       " TranslatorNode(curie='PUBCHEM.COMPOUND:168476208', label='2-Fluorobenzyl olaparib-d4', types=['biolink:SmallMolecule', 'biolink:MolecularEntity', 'biolink:ChemicalEntity', 'biolink:PhysicalEssence', 'biolink:ChemicalOrDrugOrTreatment', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:ChemicalEntityOrProteinOrPolypeptide', 'biolink:NamedThing', 'biolink:Entity', 'biolink:PhysicalEssenceOrOccurrent'], synonyms=None, curie_synonyms=None, attributes=None, taxa=[]),\n",
+       " TranslatorNode(curie='PUBCHEM.COMPOUND:124081213', label='c-Olaparib', types=['biolink:SmallMolecule', 'biolink:MolecularEntity', 'biolink:ChemicalEntity', 'biolink:PhysicalEssence', 'biolink:ChemicalOrDrugOrTreatment', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:ChemicalEntityOrProteinOrPolypeptide', 'biolink:NamedThing', 'biolink:Entity', 'biolink:PhysicalEssenceOrOccurrent'], synonyms=None, curie_synonyms=None, attributes=None, taxa=[]),\n",
+       " TranslatorNode(curie='PUBCHEM.COMPOUND:164664833', label='Olaparib D4', types=['biolink:SmallMolecule', 'biolink:MolecularEntity', 'biolink:ChemicalEntity', 'biolink:PhysicalEssence', 'biolink:ChemicalOrDrugOrTreatment', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:ChemicalEntityOrProteinOrPolypeptide', 'biolink:NamedThing', 'biolink:Entity', 'biolink:PhysicalEssenceOrOccurrent'], synonyms=None, curie_synonyms=None, attributes=None, taxa=[]),\n",
+       " TranslatorNode(curie='PUBCHEM.COMPOUND:144391792', label='Olaparib Impurity 90', types=['biolink:SmallMolecule', 'biolink:MolecularEntity', 'biolink:ChemicalEntity', 'biolink:PhysicalEssence', 'biolink:ChemicalOrDrugOrTreatment', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:ChemicalEntityOrProteinOrPolypeptide', 'biolink:NamedThing', 'biolink:Entity', 'biolink:PhysicalEssenceOrOccurrent'], synonyms=None, curie_synonyms=None, attributes=None, taxa=[]),\n",
+       " TranslatorNode(curie='PUBCHEM.COMPOUND:163197495', label='Olaparib Impurity 49', types=['biolink:SmallMolecule', 'biolink:MolecularEntity', 'biolink:ChemicalEntity', 'biolink:PhysicalEssence', 'biolink:ChemicalOrDrugOrTreatment', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:ChemicalEntityOrProteinOrPolypeptide', 'biolink:NamedThing', 'biolink:Entity', 'biolink:PhysicalEssenceOrOccurrent'], synonyms=None, curie_synonyms=None, attributes=None, taxa=[]),\n",
+       " TranslatorNode(curie='PUBCHEM.COMPOUND:164569606', label='Olaparib Impurity 149', types=['biolink:SmallMolecule', 'biolink:MolecularEntity', 'biolink:ChemicalEntity', 'biolink:PhysicalEssence', 'biolink:ChemicalOrDrugOrTreatment', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:ChemicalEntityOrProteinOrPolypeptide', 'biolink:NamedThing', 'biolink:Entity', 'biolink:PhysicalEssenceOrOccurrent'], synonyms=None, curie_synonyms=None, attributes=None, taxa=[]),\n",
+       " TranslatorNode(curie='PUBCHEM.COMPOUND:168440226', label='Olaparib Impurity 82', types=['biolink:SmallMolecule', 'biolink:MolecularEntity', 'biolink:ChemicalEntity', 'biolink:PhysicalEssence', 'biolink:ChemicalOrDrugOrTreatment', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:ChemicalEntityOrProteinOrPolypeptide', 'biolink:NamedThing', 'biolink:Entity', 'biolink:PhysicalEssenceOrOccurrent'], synonyms=None, curie_synonyms=None, attributes=None, taxa=[]),\n",
+       " TranslatorNode(curie='PUBCHEM.COMPOUND:168448102', label='Olaparib Impurity 46', types=['biolink:SmallMolecule', 'biolink:MolecularEntity', 'biolink:ChemicalEntity', 'biolink:PhysicalEssence', 'biolink:ChemicalOrDrugOrTreatment', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:ChemicalEntityOrProteinOrPolypeptide', 'biolink:NamedThing', 'biolink:Entity', 'biolink:PhysicalEssenceOrOccurrent'], synonyms=None, curie_synonyms=None, attributes=None, taxa=[]),\n",
+       " TranslatorNode(curie='PUBCHEM.COMPOUND:171338397', label='Olaparib Impurity 116', types=['biolink:SmallMolecule', 'biolink:MolecularEntity', 'biolink:ChemicalEntity', 'biolink:PhysicalEssence', 'biolink:ChemicalOrDrugOrTreatment', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:ChemicalEntityOrProteinOrPolypeptide', 'biolink:NamedThing', 'biolink:Entity', 'biolink:PhysicalEssenceOrOccurrent'], synonyms=None, curie_synonyms=None, attributes=None, taxa=[]),\n",
+       " TranslatorNode(curie='PUBCHEM.COMPOUND:175673601', label='Olaparib Impurity 117', types=['biolink:SmallMolecule', 'biolink:MolecularEntity', 'biolink:ChemicalEntity', 'biolink:PhysicalEssence', 'biolink:ChemicalOrDrugOrTreatment', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:ChemicalEntityOrProteinOrPolypeptide', 'biolink:NamedThing', 'biolink:Entity', 'biolink:PhysicalEssenceOrOccurrent'], synonyms=None, curie_synonyms=None, attributes=None, taxa=[]),\n",
+       " TranslatorNode(curie='PUBCHEM.COMPOUND:175673602', label='Olaparib Impurity 118', types=['biolink:SmallMolecule', 'biolink:MolecularEntity', 'biolink:ChemicalEntity', 'biolink:PhysicalEssence', 'biolink:ChemicalOrDrugOrTreatment', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:ChemicalEntityOrProteinOrPolypeptide', 'biolink:NamedThing', 'biolink:Entity', 'biolink:PhysicalEssenceOrOccurrent'], synonyms=None, curie_synonyms=None, attributes=None, taxa=[]),\n",
+       " TranslatorNode(curie='PUBCHEM.COMPOUND:175673603', label='Olaparib Impurity 119', types=['biolink:SmallMolecule', 'biolink:MolecularEntity', 'biolink:ChemicalEntity', 'biolink:PhysicalEssence', 'biolink:ChemicalOrDrugOrTreatment', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:ChemicalEntityOrProteinOrPolypeptide', 'biolink:NamedThing', 'biolink:Entity', 'biolink:PhysicalEssenceOrOccurrent'], synonyms=None, curie_synonyms=None, attributes=None, taxa=[]),\n",
+       " TranslatorNode(curie='PUBCHEM.COMPOUND:175673605', label='Olaparib Impurity 122', types=['biolink:SmallMolecule', 'biolink:MolecularEntity', 'biolink:ChemicalEntity', 'biolink:PhysicalEssence', 'biolink:ChemicalOrDrugOrTreatment', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:ChemicalEntityOrProteinOrPolypeptide', 'biolink:NamedThing', 'biolink:Entity', 'biolink:PhysicalEssenceOrOccurrent'], synonyms=None, curie_synonyms=None, attributes=None, taxa=[]),\n",
+       " TranslatorNode(curie='PUBCHEM.COMPOUND:175673606', label='Olaparib Impurity 44', types=['biolink:SmallMolecule', 'biolink:MolecularEntity', 'biolink:ChemicalEntity', 'biolink:PhysicalEssence', 'biolink:ChemicalOrDrugOrTreatment', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:ChemicalEntityOrProteinOrPolypeptide', 'biolink:NamedThing', 'biolink:Entity', 'biolink:PhysicalEssenceOrOccurrent'], synonyms=None, curie_synonyms=None, attributes=None, taxa=[]),\n",
+       " TranslatorNode(curie='PUBCHEM.COMPOUND:175673607', label='Olaparib Impurity 89 (Mixture E&Z)', types=['biolink:SmallMolecule', 'biolink:MolecularEntity', 'biolink:ChemicalEntity', 'biolink:PhysicalEssence', 'biolink:ChemicalOrDrugOrTreatment', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:ChemicalEntityOrProteinOrPolypeptide', 'biolink:NamedThing', 'biolink:Entity', 'biolink:PhysicalEssenceOrOccurrent'], synonyms=None, curie_synonyms=None, attributes=None, taxa=[])]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "name_resolver.lookup('Olaparib', return_top_response=False, biolink_type='biolink:SmallMolecule',  limit=100) # sometimes the identifiers are not in the top 1, users need to check the other returned results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e03bf5e1",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "my-rdkit-env",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.19"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/Neighborhood_finder.ipynb b/notebooks/Neighborhood_finder.ipynb
index 33d13a6..3317b42 100644
--- a/notebooks/Neighborhood_finder.ipynb
+++ b/notebooks/Neighborhood_finder.ipynb
@@ -9,16 +9,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
+    "\n",
+    "import sys\n",
+    "import os\n",
+    "sys.path.append('../TCT/')\n",
     "from TCT import node_normalizer\n",
     "from TCT import name_resolver\n",
     "from TCT import translator_metakg\n",
     "from TCT import translator_kpinfo\n",
     "from TCT import translator_query\n",
-    "from TCT import TCT\n"
+    "from TCT import TCT\n",
+    "\n"
    ]
   },
   {
@@ -30,16 +35,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Skipping server without x-maturity: {'url': '/sipr'}\n"
+     ]
+    }
+   ],
    "source": [
     "APInames, metaKG, Translator_KP_info = translator_metakg.load_translator_resources()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -47,7 +60,7 @@
     "All_categories = list((set(list(set(metaKG['Subject']))+list(set(metaKG['Object'])))))\n",
     "API_withMetaKG = list(set(metaKG['API']))\n",
     "\n",
-    "    # generate a dictionary of API and its predicates\n",
+    "# generate a dictionary of API and its predicates\n",
     "API_predicates = {}\n",
     "for api in API_withMetaKG:\n",
     "    API_predicates[api] = list(set(metaKG[metaKG['API'] == api]['Predicate']))"
@@ -62,22 +75,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{'ARAX Translator Reasoner - TRAPI 1.6.0': 'https://arax.transltr.io/api/arax/v1.4/query/', 'CATRAX Pharmacogenomics KP - TRAPI 1.5.0': 'https://multiomics.rtx.ai:9990/PharmacogenomicsKG/query', 'Text Mined Cooccurrence API': 'https://cooccurrence.transltr.io/query/', 'RTX KG2 - TRAPI 1.5.0': 'https://kg2cploverdb.ci.transltr.io/kg2c/query', 'CATRAX BigGIM DrugResponse Performance Phase KP - TRAPI 1.5.0': 'https://multiomics.rtx.ai:9990/BigGIM_DrugResponse_PerformancePhase/query', 'BioThings Explorer (BTE) TRAPI': 'https://bte.transltr.io/v1/query/', 'Service Provider TRAPI': 'https://bte.transltr.io/v1/team/Service%20Provider/query/', 'Clinical Trials KP - TRAPI 1.5.0': 'https://multiomics.rtx.ai:9990/ctkp/query', 'Gene-List Network Enrichment Analysis': 'https://translator.broadinstitute.org/gelinea-trapi/v1.5/query/', 'Drug Approvals KP - TRAPI 1.5.0': 'https://multiomics.rtx.ai:9990/dakp/query', 'MolePro': 'https://molepro-trapi.transltr.io/molepro/trapi/v1.5/query/', 'Genetics Data Provider for NCATS Biomedical Translator Reasoners': 'https://genetics-kp.transltr.io/genetics_provider/trapi/v1.5/query/', 'COHD TRAPI': 'https://cohd-api.transltr.io/api/query/', 'Multiomics KP - TRAPI 1.5.0': 'https://multiomics.rtx.ai:9990/multiomics/query', 'Microbiome KP - TRAPI 1.5.0': 'https://multiomics.rtx.ai:9990/mbkp/query', 'Knowledge Collaboratory API': 'https://collaboratory-api.transltr.io/query/', 'SPOKE KP for TRAPI 1.5': 'https://spokekp.transltr.io/api/v1.5/query/', 'Connections Hypothesis Provider API': 'https://chp-api.transltr.io/query/', 'imProving Agent for TRAPI 1.5': 'https://ia.transltr.io/api/v1.5/query/', 'Cqs(Trapi v1.5.0)': 'https://cqs.ci.transltr.io/query/', 'Aragorn(Trapi v1.5.0)': 'https://aragorn.transltr.io/aragorn/query/', 'Automat-gtex(Trapi v1.5.0)': 'https://automat.transltr.io/gtex/query/', 'Automat-hgnc(Trapi v1.5.0)': 'https://automat.transltr.io/hgnc/query/', 'Automat-genome-alliance(Trapi v1.5.0)': 'https://automat.transltr.io/genome-alliance/query/', 'Workflow-runner(Trapi v1.5.0)': 'https://translator-workflow-runner.transltr.io/query/', 'Automat-drug-central(Trapi v1.5.0)': 'https://automat.transltr.io/drugcentral/query/', 'OpenPredict API': 'https://openpredict.transltr.io/query/', 'Automat-string-db(Trapi v1.5.0)': 'https://automat.transltr.io/string-db/query/', 'Automat-hmdb(Trapi v1.5.0)': 'https://automat.transltr.io/hmdb/query/', 'Sri-node-normalizer(Trapi v1.5.0)': 'https://nodenorm.transltr.io/1.5/query/', 'Autonomous Relay System (ARS) TRAPI': 'https://ars-prod.transltr.io/ars/api/submit/', 'Automat-ehr-clinical-connections-kp(Trapi v1.5.0)': 'https://automat.renci.org/ehr-clinical-connections-kp/query/', 'Automat-monarchinitiative(Trapi v1.5.0)': 'https://automat.transltr.io/monarch-kg/query/', 'Automat-ubergraph(Trapi v1.5.0)': 'https://automat.transltr.io/ubergraph/query/', 'Automat-ctd(Trapi v1.5.0)': 'https://automat.transltr.io/ctd/query/', 'Automat-pharos(Trapi v1.5.0)': 'https://automat.transltr.io/pharos/query/', 'Automat-reactome(Trapi v1.5.0)': 'https://automat.transltr.io/reactome/query/', 'Automat-binding-db(Trapi v1.5.0)': 'https://automat.transltr.io/binding-db/query/', 'Automat-icees-kg(Trapi v1.5.0)': 'https://automat.transltr.io/icees-kg/query/', 'Automat-viral-proteome(Trapi v1.5.0)': 'https://automat.transltr.io/viral-proteome/query/', 'Automat-panther(Trapi v1.5.0)': 'https://automat.transltr.io/panther/query/', 'Automat-hetionet(Trapi v1.5.0)': 'https://automat.transltr.io/hetio/query/', 'Automat-gtopdb(Trapi v1.5.0)': 'https://automat.transltr.io/gtopdb/query/', 'Automat-robokop(Trapi v1.5.0)': 'https://automat.transltr.io/robokopkg/query/', 'Automat-intact(Trapi v1.5.0)': 'https://automat.transltr.io/intact/query/', 'Answer-coalesce(Trapi v1.5.0)': 'https://answer-coalesce.transltr.io/query/', 'Sri-answer-appraiser(Trapi v1.5.0)': 'https://answerappraiser.transltr.io/query/', 'Aragorn(Trapi v1.6.0)': 'https://aragorn.renci.org/aragorn/query/', 'Automat-cam-kp(Trapi v1.5.0)': 'https://automat.transltr.io/cam-kp/query/', 'mediKanren': 'https://medikanren-trapi.transltr.io/query/', 'Automat-ehr-may-treat-kp(Trapi v1.5.0)': 'https://automat.renci.org/ehr-may-treat-kp/query/', 'Automat-human-goa(Trapi v1.5.0)': 'https://automat.transltr.io/human-goa/query/', 'Automat-gwas-catalog(Trapi v1.5.0)': 'https://automat.transltr.io/gwas-catalog/query/', 'Shepherd Aragorn': 'https://shepherd.renci.org/aragorn/query/'}\n",
-      "(22135, 5)\n"
+      "{'RTX KG2 - TRAPI 1.5.0': 'https://kg2cploverdb.ci.transltr.io/kg2c/query', 'BioThings Explorer (BTE) TRAPI': 'https://bte.transltr.io/v1/query/', 'Genetics Data Provider for NCATS Biomedical Translator Reasoners': 'https://genetics-kp.transltr.io/genetics_provider/trapi/v1.5/query/', 'Drug Approvals KP - TRAPI 1.5.0': 'https://multiomics.rtx.ai:9990/dakp/query', 'CATRAX BigGIM DrugResponse Performance Phase KP - TRAPI 1.5.0': 'https://multiomics.rtx.ai:9990/BigGIM_DrugResponse_PerformancePhase/query', 'Gene-List Network Enrichment Analysis': 'https://translator.broadinstitute.org/gelinea-trapi/v1.5/query/', 'Aragorn(Trapi v1.5.0)': 'https://aragorn.transltr.io/aragorn/query/', 'Answer-coalesce(Trapi v1.5.0)': 'https://answer-coalesce.transltr.io/query/', 'Clinical Trials KP - TRAPI 1.5.0': 'https://multiomics.rtx.ai:9990/ctkp/query', 'Multiomics KP - TRAPI 1.5.0': 'https://multiomics.rtx.ai:9990/multiomics/query', 'Text Mined Cooccurrence API': 'https://cooccurrence.transltr.io/query/', 'CATRAX Pharmacogenomics KP - TRAPI 1.5.0': 'https://multiomics.rtx.ai:9990/PharmacogenomicsKG/query', 'Service Provider TRAPI': 'https://bte.transltr.io/v1/team/Service%20Provider/query/', 'Automat-genome-alliance(Trapi v1.5.0)': 'https://automat.renci.org/genome-alliance/query/', 'Knowledge Collaboratory API': 'https://collaboratory-api.transltr.io/query/', 'SPOKE KP for TRAPI 1.5': 'https://spokekp.transltr.io/api/v1.5/query/', 'COHD TRAPI': 'https://cohd-api.transltr.io/api/query/', 'Microbiome KP - TRAPI 1.5.0': 'https://multiomics.rtx.ai:9990/mbkp/query', 'ARAX Translator Reasoner - TRAPI 1.6.0': 'https://arax.transltr.io/api/arax/v1.4/query/', 'Autonomous Relay System (ARS) TRAPI': 'https://ars-prod.transltr.io/ars/api/submit/', 'OpenPredict API': 'https://openpredict.transltr.io/query/', 'Shepherd SIPR': 'https://shepherd.renci.org/sipr/query/', 'Automat-ubergraph(Trapi v1.5.0)': 'https://automat.renci.org/ubergraph/query/', 'Automat-human-goa(Trapi v1.5.0)': 'https://automat.renci.org/human-goa/query/', 'mediKanren': 'https://medikanren-trapi.transltr.io/query/', 'Sri-answer-appraiser(Trapi v1.5.0)': 'https://answerappraiser.transltr.io/query/', 'Connections Hypothesis Provider API': 'https://chp-api.transltr.io/query/', 'Shepherd-aragorn(Trapi v1.5.0)': 'https://shepherd.ci.transltr.io/aragorn/query/', 'imProving Agent for TRAPI 1.5': 'https://ia.transltr.io/api/v1.5/query/', 'Cqs(Trapi v1.5.0)': 'https://cqs-dev.apps.renci.org/query/', 'MolePro': 'https://molepro-trapi.transltr.io/molepro/trapi/v1.5/query/', 'Automat-string-db(Trapi v1.5.0)': 'https://automat.renci.org/string-db/query/', 'Automat-panther(Trapi v1.5.0)': 'https://automat.renci.org/panther/query/', 'Retriever': 'https://retriever.ci.transltr.io/query/', 'Sri-node-normalizer(Trapi v1.5.0)': 'https://nodenorm.transltr.io/1.5/query/', 'Automat-monarchinitiative(Trapi v1.5.0)': 'https://automat.transltr.io/monarch-kg/query/', 'Automat-hgnc(Trapi v1.5.0)': 'https://automat.transltr.io/hgnc/query/', 'Automat-viral-proteome(Trapi v1.5.0)': 'https://automat.renci.org/viral-proteome/query/', 'Shepherd-bte(Trapi v1.5.0)': 'https://shepherd.ci.transltr.io/bte/query/', 'Automat-gtopdb(Trapi v1.5.0)': 'https://automat.renci.org/gtopdb/query/', 'Automat-ehr-may-treat-kp(Trapi v1.5.0)': 'https://automat.renci.org/ehr-may-treat-kp/query/', 'Aragorn(Trapi v1.6.0)': 'https://aragorn.renci.org/aragorn/query/', 'Automat-gtex(Trapi v1.5.0)': 'https://automat.renci.org/gtex/query/', 'Automat-intact(Trapi v1.5.0)': 'https://automat.renci.org/intact/query/', 'Automat-hetionet(Trapi v1.5.0)': 'https://automat.renci.org/hetio/query/', 'Automat-robokop(Trapi v1.5.0)': 'https://automat.transltr.io/robokopkg/query/', 'Automat-reactome(Trapi v1.5.0)': 'https://automat.renci.org/reactome/query/', 'Automat-pharos(Trapi v1.5.0)': 'https://automat.renci.org/pharos/query/', 'Workflow-runner(Trapi v1.5.0)': 'https://translator-workflow-runner.transltr.io/query/', 'Automat-binding-db(Trapi v1.5.0)': 'https://automat.renci.org/binding-db/query/', 'Automat-gwas-catalog(Trapi v1.5.0)': 'https://automat.renci.org/gwas-catalog/query/', 'Automat-ctd(Trapi v1.5.0)': 'https://automat.renci.org/ctd/query/', 'Automat-ehr-clinical-connections-kp(Trapi v1.5.0)': 'https://automat.renci.org/ehr-clinical-connections-kp/query/', 'Automat-icees-kg(Trapi v1.5.0)': 'https://automat.transltr.io/icees-kg/query/', 'Shepherd-arax(Trapi v1.5.0)': 'https://shepherd.ci.transltr.io/arax/query/', 'Automat-hmdb(Trapi v1.5.0)': 'https://automat.renci.org/hmdb/query/', 'Automat-cam-kp(Trapi v1.5.0)': 'https://automat.transltr.io/cam-kp/query/', 'Automat-drug-central(Trapi v1.5.0)': 'https://automat.renci.org/drugcentral/query/'}\n",
+      "(22568, 5)\n"
      ]
     }
    ],
    "source": [
-    "# select a list of APIs to use and a list of predicates to use\n",
+    "# select a list of APIs to use and a list of predicates to use, if the list is empty, use all APIs and predicates\n",
+    "#selected_APIlist = ['Microbiome KP - TRAPI 1.5.0']\n",
     "selected_APIlist = []\n",
-    "\n",
     "if len(selected_APIlist) == 0:\n",
     "    select_APIs = APInames\n",
     "else:\n",
@@ -88,63 +101,69 @@
     "print(selected_metaKG.shape)\n"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "In order to use the neighborhood finder, we have to look up a CURIE ID for a given term."
-   ]
-  },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[TranslatorNode(curie='NCBIGene:5243', label='ABCB1', types=['biolink:Gene', 'biolink:GeneOrGeneProduct', 'biolink:GenomicEntity', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:PhysicalEssence', 'biolink:OntologyClass', 'biolink:BiologicalEntity', 'biolink:ThingWithTaxon', 'biolink:NamedThing', 'biolink:Entity', 'biolink:PhysicalEssenceOrOccurrent', 'biolink:MacromolecularMachineMixin', 'biolink:Protein', 'biolink:GeneProductMixin', 'biolink:Polypeptide', 'biolink:ChemicalEntityOrProteinOrPolypeptide'], synonyms=None, curie_synonyms=None)]"
+       "TranslatorNode(curie='MONDO:0008170', label='ovarian cancer', types=['biolink:Disease', 'biolink:DiseaseOrPhenotypicFeature', 'biolink:BiologicalEntity', 'biolink:ThingWithTaxon', 'biolink:NamedThing', 'biolink:Entity'], synonyms=None, curie_synonyms=None, attributes=None, taxa=[])"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "name_resolver.lookup('BCL2')\n",
-    "name_resolver.lookup('ABCB1', return_top_response=False, biolink_type='biolink:Gene',  limit=100, only_taxa='NCBITaxon:9606') # sometimes the identifiers are not in the top 1, users need to check the other returned results"
+    "name_resolver.lookup('Ovarian cancer')\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In order to use the neighborhood finder, we have to look up a CURIE ID for a given term."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#name_resolver.lookup('BCL2')\n",
+    "#name_resolver.lookup('BCL2', return_top_response=False, biolink_type='biolink:Gene',  limit=100, only_taxa='NCBITaxon:9606') # sometimes the identifiers are not in the top 1, users need to check the other returned results"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The CURIE ID for acute myeloid leukemia is `MONDO:0018874`. We will use this CURIE ID for subsequent tasks.\n",
     "\n",
     "Neighborhood finder identifies all nodes *b* that are connected to the given node *a*, where *b* is part of a defined list of categories - returning the neighborhood of node *a*."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "NCBIGene:596\n",
-      "Automat-genome-alliance(Trapi v1.5.0): Success!\n",
+      "MONDO:0008170\n",
       "CATRAX Pharmacogenomics KP - TRAPI 1.5.0: Success!\n",
-      "Automat-cam-kp(Trapi v1.5.0): Success!CATRAX BigGIM DrugResponse Performance Phase KP - TRAPI 1.5.0: Success!\n",
-      "\n",
+      "Automat-robokop(Trapi v1.5.0): Success!\n",
       "RTX KG2 - TRAPI 1.5.0: Success!\n",
+      "Automat-pharos(Trapi v1.5.0): Success!\n",
       "Automat-hetionet(Trapi v1.5.0): Success!\n",
-      "Automat-robokop(Trapi v1.5.0): Success!\n",
       "Service Provider TRAPI: Success!\n",
       "BioThings Explorer (BTE) TRAPI: Success!\n",
-      "NodeNorm does not know about these identifiers: orphanet:119007\n"
+      "NodeNorm does not know about these identifiers: NCBIGene:129931243,NCBIGene:109504725,NCBIGene:129996245,NCBIGene:129937389,NCBIGene:107303338,NCBIGene:126861205,NCBIGene:129999452,NCBIGene:130058543,NCBIGene:129390903,NCBIGene:126806658,NCBIGene:126859871,NCBIGene:130059290,NCBIGene:126806659,NCBIGene:130001603,NCBIGene:126860438,NCBIGene:130062899\n"
      ]
     }
    ],
@@ -158,40 +177,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{}"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "NodeNorm does not know about these identifiers: orphanet:119007\n",
-      "[Text(0.5, 0, 'BAX'), Text(2.5, 0, 'MAPK8'), Text(4.5, 0, 'BCL2L11'), Text(6.5, 0, 'FKBP8'), Text(8.5, 0, 'BECN1'), Text(10.5, 0, 'BIK'), Text(12.5, 0, 'CDK1'), Text(14.5, 0, 'ITPR1'), Text(16.5, 0, 'CISD2'), Text(18.5, 0, 'BNIP3'), Text(20.5, 0, 'RAF1'), Text(22.5, 0, 'BMF'), Text(24.5, 0, 'PPP2CA'), Text(26.5, 0, 'SOD1'), Text(28.5, 0, 'CASP3'), Text(30.5, 0, 'BNIP2'), Text(32.5, 0, 'BAG3'), Text(34.5, 0, 'BCL2L10'), Text(36.5, 0, 'PSEN1'), Text(38.5, 0, 'BNIP1'), Text(40.5, 0, 'MAPK14'), Text(42.5, 0, 'RAD9A'), Text(44.5, 0, 'BRCA1'), Text(46.5, 0, 'ITPR1'), Text(48.5, 0, 'SIVA1')]\n"
+      "NodeNorm does not know about these identifiers: NCBIGene:129931243,NCBIGene:129390903,NCBIGene:126806658,NCBIGene:126859871,NCBIGene:130059290,NCBIGene:126806659,NCBIGene:130001603,NCBIGene:109504725,NCBIGene:126860438,NCBIGene:130058543,NCBIGene:129996245,NCBIGene:129937389,NCBIGene:107303338,NCBIGene:126861205,NCBIGene:129999452,NCBIGene:130062899\n",
+      "[Text(0.5, 0, 'ERBB2'), Text(2.5, 0, 'BRCA1'), Text(4.5, 0, 'CTNNB1'), Text(6.5, 0, 'BRCA2'), Text(8.5, 0, 'OPCML'), Text(10.5, 0, 'MSH2'), Text(12.5, 0, 'KRAS'), Text(14.5, 0, 'EGFR'), Text(16.5, 0, 'MYC'), Text(18.5, 0, 'RAD51D'), Text(20.5, 0, 'MLH1'), Text(22.5, 0, 'MET'), Text(24.5, 0, 'BARD1'), Text(26.5, 0, 'ATM'), Text(28.5, 0, 'PARP1'), Text(30.5, 0, 'TUBB3'), Text(32.5, 0, 'RRAS2'), Text(34.5, 0, 'MSLN'), Text(36.5, 0, 'CDKN1B'), Text(38.5, 0, 'NR5A1'), Text(40.5, 0, 'MRE11'), Text(42.5, 0, 'FOLR1'), Text(44.5, 0, 'NBN'), Text(46.5, 0, 'DYRK1B'), Text(48.5, 0, 'CHMP4C')]\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1890x1050 with 1 Axes>"
       ]
@@ -203,12 +202,12 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[Text(0.5, 0, 'BAX'), Text(2.5, 0, 'MAPK8'), Text(4.5, 0, 'BCL2L11'), Text(6.5, 0, 'FKBP8'), Text(8.5, 0, 'BECN1'), Text(10.5, 0, 'BIK'), Text(12.5, 0, 'CDK1'), Text(14.5, 0, 'ITPR1'), Text(16.5, 0, 'CISD2'), Text(18.5, 0, 'BNIP3'), Text(20.5, 0, 'RAF1'), Text(22.5, 0, 'BMF'), Text(24.5, 0, 'PPP2CA'), Text(26.5, 0, 'SOD1'), Text(28.5, 0, 'CASP3'), Text(30.5, 0, 'BNIP2'), Text(32.5, 0, 'BAG3'), Text(34.5, 0, 'BCL2L10'), Text(36.5, 0, 'PSEN1'), Text(38.5, 0, 'BNIP1'), Text(40.5, 0, 'MAPK14'), Text(42.5, 0, 'RAD9A'), Text(44.5, 0, 'BRCA1'), Text(46.5, 0, 'ITPR1'), Text(48.5, 0, 'SIVA1')]\n"
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btmzBL7/8orDm2rVrwRjDiRMnZPc0duxYNG/eHL/++it++eUXrFy5Una+h4cHKleuDAcHB2zcuBHt2rVTWPNHaFOlpKamYsKECZBIJNi+fTtcXFzynVOvXj20adMG48aNg7+/Pzw9PTF+/Hj06dMnT5tcEomNjUWLFi3Qo0ePPMcNDQ0RGBgIS0tLzJkzB7169cKOHTvytOWq4uXLlwgMDISfnx/i4uJARACApk2bwt3dHS4uLhgyZAjOnj0r8zH4IpS/IoTvIITu1q1boaGhgaioKNSsWRMA4OLigjp16sDLywuzZs3Cr7/+Kju/Y8eOCAwMRMuWLbF9+3b07t2bl+6GDRvAGJM9O4XBGMOGDRvy/H/t2rUKay5atAhpaWnw9PTEunXroK2tjdzcXAQGBmLSpEnYt28fHBwccODAAZQtW1bh6xeEEM/S8uXLAQB79+5Fr169AAAnTpyAvb09Ro0ahaFDhyIwMFB2fseOHVG/fn24uLhg3bp12LRpE29tdePl5YX79+/jf//7H5YsWQItLa1Cz8/MzMS0adOwevVqeHt752lvi4oQbapQ7bg663spQtzr4sWLedm9ePGCtybwuT7r06dPoX2xo0ePIikpCcOGDVNKS8ixBylxcXHw8/NDYGAgXr58CSKChoYGHB0d4ebmhmXLluHSpUvo2rWr0lo/QjtuZmaGe/fu5TkmfUdNTU0LtKtYsWK+73qLyOdH6kOVZMRAt4iIiIiIiJqoUKEC/P394e7ujrFjx2Lnzp0IDg5GTk4OJBIJpk+fDi8vL+jq6iqttX37dhARVq5cKTfI/TX169fHypUr4e7uDh8fH/z2228Ka967dw/t27eXBbmBz85xu3btcPToUQwaNCifjbm5Oezs7HD27FmF9QDA1tZWkMBSw4YNednFx8crbJOdnY1y5crlO25iYgLgc8dSHlWrVsXFixcV1vuSR48ewd7ePs+AhIGBAVq3bo1Dhw7lG0AHPg+i29ra4tSpU7x1+QSFAODx48e8NZ2cnNT+LAkVGJ08eTJyc3Mxffp0WbBbGqADgJs3b6Jbt25ISEhAly5dsH//fujp6fHWA9R/r0IGnS0sLBQ6PyEhQakAOwA4Ojrysrtz5w5vTXWX8bp168AYw/79+/PUPb/99ht+/vln7Nq1C126dMG+ffvQpUsXha9fGHv27IGRkRH27dsnG/gLCgqChYUFdu/eja1bt+Z5h8qUKYONGzeidu3a2L17N686LTY2Fq1atcoTuG/atClat26NM2fOYOzYsfls7O3tUb9+fZw7d47HXQrTpgrx7AKAv78/0tLS4O3tLTfI/TVubm54+PAh5s2bh4CAAIwZM0Yp/eImLS0NtWrVKjB95syZqFSpEkaOHImhQ4di69atcHd3V5l+jx49cOLECeTk5ICIUKVKFbi4uMDd3R2NGjVSmY4UofwVIXwHIXSvXr2K1q1by4LcwGc/s23btjh16pTcwIqNjQ2srKyU9kUZYxg5ciRat25d4DkLFy7EvXv38O+//yqlBQDh4eGoUqUKNmzYAE1NTQAAx3FwdXVF+/bt0b9/f0RFRaFTp04ICwvL0+9RBiGepbNnz6Jp06ayIDfweYKIjY0NLl26JHcSspOTE2bPno2oqChemkIREhKCxo0b459//inS+VpaWvjnn39w6tQphISE8Ap0C9GmCqGp7vpeihD3OnPmTLVrent7Y8GCBTh//jyWLVsGZ2dnued16tQJSUlJSteDQo49LFq0CH5+frh9+7YsENuyZUu4ubnByclJVt+uWbNGKZ0v+RHa8a5du+Lff//FuXPnYGdnBwCwtrYGEeHUqVPo06dPPpsPHz7gwoULedp9Pgjl56sbocYl+Y7RfPr0ibdmSUYMdIuIiIiIiKiZzp07Y+DAgVi2bBmys7PBGMOIESOwYMECla3qO3v2LMqWLQsnJ6ci2zg5OWHcuHGIjo7mpZmVlSV3hrb0WEGzt3V1dZGZmclLU1pe7du3V8ju8uXLSs2evHPnTpFXmHyNon9jY2NjJCYm5jtOnz9BU6BdVlYWypQpo3D+vkZDI7+7KO/Y1+Tm5vLWVGQFz9fwfYckEglyc3Ph5uYGjuOKbHf48GGlZ3QLERidOnUqcnNzMXPmTDg4OCA8PBzNmjXDxYsX4ejoiNevX6NPnz4ICgr65qoXRVD3vapTr0aNGoiPj0d0dHSBg0DysLOz4z0LXMrRo0fV/s5IUVcZC7lCVYjVLW/fvkX16tXzHbewsMCZM2dQu3ZtuXZ169bFsWPHeGkK0aYK9eyePHkSWlpamDRpUpFtJk2ahAULFuD48eMlPtBduXJlub7DlwwfPhxGRkYYOnQoPD09kZqaqjL9sLAwMMZQqVIlbNy4ET179lTZtQtCCH9FKN9B3brp6ely2zVzc3MAkFtXAZ/bxdu3byusJyUiIgKjR4/G1q1bwRjDwoULYWRklO+87du34969exg+fDhvLSnPnz9Hr169ZEHuL6latSqioqIwYMAAHDt2DO3bt0d4eLhCbX5BCPEsvXr1Su7uH7Vq1cKlS5cKnCzdsGFDRERE8NIUisTERFmARxEaNWqEkJAQXppCtKlCaApR3wPC3KuWlhaysrIwe/bsIrUvUrZs2cJ7Vfcff/yBoUOHYvTo0XBzc8P27duxfv16pQOQBSHk2MOsWbPAGIOZmRlGjx4NV1fXAv1dVfEjtOMzZ85EQEAA+vXrh+3bt6NHjx5wcnLCwoULMXr0aOjr6+eZJPzff/9h7NixSExMzLMjIx+E7KOqE6HGJTMyMnjblqbyLSpioFtERERERESNREdHY/To0bh79y7KlCmDwYMHY8eOHdi8eTOuXLmCTZs2wdLSUmmd27dvo3nz5go5zRKJBDY2Nrh16xYvzcqVK+PKlSt5ZiUSkWy7o9OnT+fr+GZmZiI2NrbQLZMKo169erh79y62bt2qUGdP2cCSsbExXr9+jStXrsgdcJMHEWHAgAG4evWqQlo1a9aUO6N15cqV+Ouvvwq0u3PnDipVqqSQ1tdUq1YNMTExyMrKkg34ZWZm4sKFCwA+D2x8vRIuNTUVFy5cUGrQT09PDx8/fsT69euho6NTZLs///yT96ruxo0b49q1a5g5cyYaNGhQZDs7OzvenVwhA6MAMH36dOTm5mL27Nno1q0b/vzzT8ycOROpqalwcnKCn58fJBKJ0jqA+u9ViLJt2bIl4uPjERsbq5JBb0UoW7Ys0tLScPDgQYW2VP7ll194z5hXdxkLuUJViNUthoaGSEtLy3dcWhcXNAFFX19fobb/S4RoU4V4doHPK1StrKwUGpQtW7YsmjVrhri4ON666enpePr0qcJpgGKTSurXr4/IyEh8/Pix0J2C+vbti6NHj6Jv376YMGGC7JlWFkNDQ6SkpODFixdwdnZG//794ebmhq5duxbLwJpQ/ooQvoMQuuXKlcPbt2/zHZfWNQUFfLS0tOQGjItK+/btce3aNfz5559YsmQJQkJCsHz58iLtwsAXQ0PDQic/6Onp4dChQ3B1dUVwcDDatWuH8PBwpXWFeJYMDAzkDpJLfe+CVooZGRnxniAyb948XnbPnz/nZSfFzMwMsbGxyM3NLXIbmZOTU+r6qUJoqru+lyLEvVpaWiI2NhaDBg1SaMzm6NGjSm1fXq9ePURGRmLz5s2YMWMGGjdujDlz5mD69OlK1bHyEHLsAfg8ZvLy5UtERkbCwsICFStWVOlnIr7mR2jHa9WqhYCAADg7O6NXr16oW7cu7O3t0bt3b6xcuRLdunVD5cqVUa1aNbx58wYPHz5EZmYm2rZti6lTpyp6a3kQys9Xl78tRahxSXNzcyQkJCAxMVEhH15V40kljuL6+LeIiIiIiIjI/yclJYXGjBlDEomEGGPUp08fev78ORER3b17lzp27EiMMdLU1KTp06fThw8flNIrU6YMOTs7K2zn5OREZcqU4aX5888/E8dxNHHiREpKSqKkpCSaOHEicRxH3bp1oxo1atDVq1dl56enp9Pw4cOJ4zhyc3PjpSm137Vrl0J2tra2xHEcL00iop49exLHcXT8+PFi1508eTIxxujWrVtFtrl27RoxxmjkyJEKaX3N9OnTiTFGgwYNopiYGIqJiaGBAwfK/mYmJiZ08OBB2fnx8fHk4OBAHMfRmDFjeOu2a9eOOI6jCxcuKGSnzN919OjRxHEc+fr6qk3TycmJOI6jkJAQtWnK4++//ybGGHEcR4wxGj16tMquLUXd9ypE2a5YsYIYYzRr1iyF7Fq1aqX037Nr167EcRxFRUUpZFeant+aNWtS586dv3leSEgIaWtrk0QioTVr1pCHh4fS5VulShW52sOHDyfGWIF2AwcOpAoVKvDSbNKkCTVt2jTf8YMHD9L8+fMLtGvfvj3VqFGDl6YQbaoQzy4RUbly5WjQoEEK2w0aNIjKlSvHS1Naz/L5SSQShbRWrVpFjDHavHlzkc6PjY0lExMTWR6V5dOnT7R7927q27cvaWlpya5bqVIlmjx5Ml25coWIiNq2basSPaH8FSF8ByF0mzdvTvXr1893/Ny5c+Tv71+oXu3atRXWk8fNmzepdevWxHEcde3ale7fvy9L69ixo8r8olatWlHVqlW/eV5ubi6NGTOGGGNkbm4uyxtfhHiWGjRoQNbW1vmO//vvv4X2Ibp06UIWFha8NL/0N4v6k56vTPlOnDiRGGM0ePBgSkpK+ub5ycnJNHjwYFnflg9CtKlCaKq7vpcixL3+73//I47jaMuWLWrT/JrExEQaPHgwMcaoQYMGFBERQUSqqweFHHu4cOECjRs3Lo8/oqurS0OGDKH9+/dTVlYWEan2WfpR2nEiori4OGrXrl2+uvXrn4GBAc2aNYsyMjJ46XyJEH6+Ov1tKUKNSw4YMIA4jqMjR46oVbekwm+qt4iIiIiIiEiR2bt3Lxo0aIBNmzahYsWKCA4Oxv79+2UrSOrWrYtTp05h8+bNKFOmDJYuXYrGjRvz3noU+DxLUZGVsFJ0dHTw/v17Xpq///47ypcvj9WrV8PMzAxmZmZYtWoVGjVqhMDAQGRlZcHa2hr16tVDixYtUKlSJfj5+UFDQ4P3TNFWrVqBiBSejUg8tk76kpYtW4KIlP4OVVGYOHEiDh48iPLlyxfZJjo6Gh06dMCAAQOU0p41axZq1qyJPXv2wNbWFra2tti7dy/at2+PzZs3w9TUFH379oWenh5MTExQs2ZNHDt2DAYGBpgxYwZv3VatWgH4vFWxupD+Tfk8S3yfJ+nzK11xpogmX6KiovL92rRpg549e4KI0LZtW7i6uso9T5nvMar7XoUoW0dHR0ycOBF16tRRyG79+vU4efIkb13g8/MLQC11khR1l3H9+vVx4cIFfPz4sdDzpCtU9fX1MWHCBISGhvLS+5LCVrc8e/asQDtlVrc0a9YMN2/ezLeKslevXpgzZ45cm5SUFMTGxvL+JqYQbaoQzy7weTUvny02DQwM5K60LwoWFha8f1WrVlVIq2/fvmjdunWRtxe2trbG6dOnYWlpyWsly9doaWlh4MCBCAkJQUJCAlavXo0WLVogMTERK1asgLW1NRo1aoT79+8rrQUI568I4TsIodu8eXPcu3cv33a2tra2cHV1lWvz8uVLXL58GVZWVgrryaNhw4Y4c+YMVq9ejYsXL6JJkyaYN28e788fFUT79u3x33//4cyZM4WexxjDhg0bMHPmTCQkJOD8+fNK6QrxLFlaWuL69ev5+n4eHh7YvHmzXJuMjAzExsaibt26vDS9vLzwxx9/wMvLq8g/6fl//PEHL00AmDt3LmrXro3du3ejatWq6NatG2bOnIk1a9Zg27Zt+Pfff7FmzRrMnDkT3bp1Q9WqVbF7927UqlULc+fO5aUpRJsqhKa663spQvksfHxfMzMzlbStAGBqaoqgoCAcOHAA6enp6Ny5Mzw8PJCSkqKS6ws59tCyZUusWbMGL168QEhIiOx6wcHB6N+/P8zNzTFu3DgkJSUppfO15o/QjgOf6/yoqCjcunULq1evxpgxYzB06FAMGjQInp6emDt3Lg4cOICkpCT8/fff0NbW5qXzJUL4+er0t6UIPS6pbt0SSzEF0EVERERERET+D+mMwtGjR9O7d+8KPffly5c0dOhQmY2LiwtvTU9PT4XtlF35du/ePerfvz8ZGxtT5cqVycPDgxISEoiI6OrVq1S3bt08s0VNTU0VXg34Jc+ePaOVK1fSgQMHFLJLSEig+Ph43rqRkZFkZWVFM2bMUMhuy5Yt5O3tzVtXCJKTk2nSpElkY2NDbdq0IW9vb0pPTycioqdPn8p2I5D+LC0tFV6J/TVBQUHEGKPhw4crZDd27Fjq2LEjL81Xr15RSEgInTt3jpc9H+7evUu//vorbdu2TSG7y5cvy2bvK0phM5y/NfuZ7wxnIvXfqxBlKySHDh0iIyMjhVdS/Pnnn+Th4cFLU91lLOQKVSFWtxw4cIAGDRpEcXFxRbZZtmwZMcZo6dKlvDSFaFOFeHaJhPOTfnTu379Pv//+O9WqVSvPiiJbW1v6559/6MWLF7yvLYS/IoTvIIRuVFQUTZ06lW7fvl1kG29vb2KM0dq1a1WenxcvXlC/fv2IMUb16tWjGjVqqOy9PH36NDHGqEePHkW2WbZsmcxX4osQz9L27dvJxsaGYmJiimyzefNmYowVurNISeX169fk7u4u22GtMH9YIpGQm5sbvXr1ireeEG2qUH1jeRRnfU8kzL2+f/+e4uLi6OHDh7zsVU16ejr973//y/NMf2+kpKTQpk2bZDu+ffnuzpw5UyE/WR4/SjsuFEL5+epGqLr30qVL1K9fP1q8eLFCdocPH6bt27fz1i2pMKLvNYQvIiIiIiJSMmjYsCE2b96MNm3aFNnmyJEj+OWXX/Ds2TPk5OQorMlxHKysrNCvXz+F7Pbt24dr167x0iwK2dnZOH/+PJ4/fw4zMzPY2dmpZKaoiLA8f/5c9jetXr260tfLzc1FWloaNDU1C/w+oAg/OnbsqNT38k6dOqXC3IiIFJ2nT5/CxcUF1atXh7+/f5Fs7t69CycnJ7x79w6PHz9WSvv69euwsbEp8rc6169fj6CgIEyfPh09evTgra0IycnJ+PDhAypWrFjod5lFPvtJ3bt3x8yZMxWyW7BgAY4dO1ZsftKPxJkzZ+Dr64vdu3fj7du3YIyB4zi0b98eJ06cKBZNVfsrIsKyd+9eTJgwAS9evABjTCXvJRHh0aNHYIwp9J3Nq1ev4t27d+jQoYPSeSjJ3L59G0lJSWjUqBGMjY2Fzg4vXr58idDQUFy9ehVPnz5Feno6iAhlypSBhYUFLC0t0b17d5iZmQmd1e8GIer7H4mLFy/iyJEjAD7vmvC98uTJE/j5+SEgIAB3796V9Wnr1asHZ2dn/P777wLnUEREREjEQLeIiIiIiEgxk5mZCS0tLYXt3r9/j99//x3Lly9X2JbjFP86CWMMRKSygSJFuHz5Mpo3b/7da4qIiJR8njx5gmrVqqlF6927dwgKCoK/v79SW8OXNnBbpaIAAJfFSURBVNRZxiIi8uA4jtekH6H8JD5kZ2dj06ZNCAkJwbNnz6CtrY2mTZtizJgxCk2+LG4yMzNx8OBB+Pn5ITQ0FNnZ2aWifEsr6enpMDAwEDobKiMtLQ2XL18GgO8+yCzy4/C99lPF+l5EVVy8eBG+vr4ICgpCcnJyqfHNVMH31o6LiKgKMdAtIiIiIiJSgnnw4AFq166tsB3fb4lJ4TMT+H//+x9Wr16tsN3p06fRu3dvvHv3rlRoliSICLt27UJYWBgSEhJgYGAAGxsbDB8+nPd3YeVx48YNHDhwIM9A+eDBg3l937Q4WbVqFeLj43lNDhGS7OxsxMTE5ClfRVYRieRn6dKlmDp1qsJ2d+7cgb29faHfXVaWrKwsHDp0CP7+/jhy5Ijs+6JCDc5kZ2dDQ0NDYbuSXMbfE69evcKxY8fy1A+dOnVSameGkqipboTY3eLp06e89QAo9H3PrKwsdOvWDVFRUfm+w8dxHNatW4fRo0crlZ/i4O3bt9i5cyfGjh3Ly76k+CvZ2dmyVYvlypWDRCJRq/7X5Obm4ujRo/D398fBgwd5f2e+pJSvOvgR6kEhuXPnDiIiIqClpYUuXbrIJr9lZ2dj9erV2L9/P5KTk1GrVi2MGDFC4V3KSgI/ej/1Wyhb30sR4l09cuRIvklknp6eqFGjRrFplgTUNfagCDk5OThy5Aj8/f2xa9cuQfKgDpRpx5UZV2CM4eHDh7ztlYFvH1Wd/rYy3Lp1C/7+/tixYwfi4+PVovm9Iwa6RUREREREShhv3rzBzp074e/vj5iYGGRnZwudpSLBcRwmTpyIFStWFNnm2LFj6N+/PzIyMnhv0a5uTXXj4uKCDh06YMyYMXmOJyUloVevXrh06VKeQWzGGHR1dREQEIC+ffsqrT979mwsXrwYRCRbyQYAxsbG2L9/P2xtbZXWUBV2dnaIiYnh9XcNCgpSSnvIkCG87A4dOoSff/4ZCQkJeY7b29vD19cXFStWVCpfJYm0tDR8/PgRBgYGebakDw0NxfXr1+XatGvXDnZ2dgprcRyH5cuX49dffy2yTVxcHLp164bXr18XS91w5swZ+Pn5ITg4GO/evQMRQVNTE/b29nB2doarq6vKNQsjIyMDmzZtwvLly3l1rktCGf/333+4ffu2LKBUvnx5NGzYsFi2G/Xz88Pjx4/Rq1evb66yunTpEg4fPoyaNWvCzc2Nt+bGjRsxZcoUfPz4Mc/x+vXrIyQkBHXq1OF97ZKiOW/ePFhZWaFPnz4qvW5JhO8qcuBz266IP7hs2TJMmzYNhoaGmDx5Mpo1a4a0tDQcOHAAu3btgra2Nh4/flysW/O+efMG6enpMDQ0hKGhYaHnpqSkICUlBQYGBihfvjwvPaH9levXr2P16tU4deoUHj16lCetTp066Ny5M8aPH4+GDRsWaz6+JDY2Fn5+fti1axeSk5OV2pFA6PJVJ0LUvVLevXuH8+fPQ0tLCy1btsyzam/fvn15AsDDhw+HtbW1Unrq9M2keHt7Y/78+bL+i6amJjZv3gw3Nzf069cPBw8ezHM+YwyTJ0/GkiVLeGsKgRD91JiYGIVtvqRly5a87NRd30sR4l11dXXFzp07AUD2DDPGoK2tjZ07d5YYf2b+/Pl4/Pgxtm7dqpCd0GMP6kaoMYCioop2XOp/8gkBCrFSXhV9VHX524ry8uVL7NixA/7+/oiLiytVO0WVCtTxIXARERERERGRwvn06RMFBwdTnz59SFtbmziOI8YYlS1bVu15uX//Pi87MzMz4jiOpkyZUqTz9+zZQzo6OsQYo6lTp5YaTWWwtbUliUSikA1jjDw9PfMd79ixIzHGqF69erR27Vo6duwY7dq1iwYPHkyMMdLT06N79+4pld89e/YQY4wYY9S5c2eaMmUKjR49mmrUqEGMMTI3N6ePHz8qpaFKbG1tieM4XraMMeI4jtdP0b+plMuXL5OWlhYxxqhMmTJkbW1NdevWJQ0NDeI4jlq1asXruoURGRmp1I8vmZmZZGFhQQYGBvmeSw8PjwLLtkaNGpSZmamwnoGBAXEcR6tWrSrS+WfPnqVy5coRY4yGDh2qsF5B3L17l37//XeqUaOGrF6XPmubN2+mN2/eqExLyqdPnygxMZGysrLkpqemptKCBQvI1NRUVs58EKqMs7OzafXq1VSnTp0Cn5sGDRrQhg0bKCcnh7fOl9y+fZskEglZW1sX6XnMzMwkGxsb0tTU5N2mnjp1SvbM1K5dmwYOHEjdunUjQ0NDWd2fnZ3N69olSbOgNo6IqFmzZuTt7a1SPSGRvvs1a9ak+vXrK/xThBYtWpC2tjZdvXo1X9qMGTOI4zhat26dqm4tH+np6WRmZkaGhoZ0586db55/584dMjQ0pKpVq9KHDx8U1hPaX5kzZ46s/pHmQ95PIpHQ3Llziy0fRESPHz+m+fPnU/369fPkydrampYsWULPnj1T+JpClW+nTp14/zp37sxLU4h6UMrWrVtJX19f9nczMTGh8PBwIiIaM2ZMvudLIpHQP//8w1tP3b4ZEdHhw4dlfu+oUaPo559/pnLlypGuri5t2rSJOI6jiRMn0sWLF+nx48f077//UsWKFYnjOIqKiuJ9r3zh03eTIkQ/VYj+jLrreylCvKtbtmwhxhhpamrSiBEjaPXq1fT3339T69atiTFGhoaG9O7dO5Vq8oVvv1jIsYevef78OR0+fJjWrl1LCxcupMWLF9PmzZvp7NmzlJGRoRINId6Zb6Hqdlx6jzY2NrRy5Up6/PgxJSYmFvmnKtTVR1Wnv10U3r9/T/7+/uTg4CAb52GMkampKY0bN46io6N5X1tXV5f3T09PT4V3WTIQA90iIiIiIiICEhERQSNHjiQjIyOZM6erq0sDBw6k4OBgtQURX79+TWvXriU7OzveDvutW7dkTun06dMLPdfHx4c0NTWJMabUgJ8QmsrAp8Mpr7MZGRlJjDFq2LAhpaen57Px9vYmxhj98ssvSuW3W7duxHEc+fj45DmekZFBPXv2JI7jaMeOHUppqBJlAt3Dhw8nDw+PIv+cnZ1JT09P1pHig7OzMzHGaPTo0fT+/XvZ8Zs3b1K9evWI4zg6duwYr2sXhFCd+Z07dxJjTG7QSjqY6u3tnefXt29f4jiOdu3apbBeVFSUbLB47dq1hZ57/PhxMjAwIMYY/fTTT0oHR5OTk2nVqlXUsmXLPIMTjRs3poULF1LTpk15PzOFcf36dbK3tyctLS3Z38vBwYFu375NRES5ubm0dOlSqlChQp4Bk4MHD/LSE6KMU1NTqVOnTrL8SyQSqlOnDtnZ2ZGtrS3Vrl1blsZxHNnb28utIxVlypQpxHEcnTp1qsg20nr6W21TQfTt25cYYzRv3jzKzc2VHX/58iW1atWKOI6jkJAQXtcuSZqFBboLSyuNSCQSYoxRhQoV6Oeff1ZqYOtblC1bljp27Cg37cmTJ8QYowkTJhSb/rp164gxRkuWLCmyzYoVK4gxRps2bVJYT0h/ZdGiRcQYIw0NDXJ3d6fDhw/Tf//9R58+faKMjAx6/vw5HTp0iFxdXWUDnMuWLVNpHt6+fUsbN26kdu3a5Qu4cxxHDx48UOr6QpWvNP+FTR4o6Me3nRWiHiT6PBmM4zjS1NQke3t76t69O2lra1O5cuVo7969xBijvn37UnBwMJ06dYq8vLxIT0+PNDQ06MqVK7w01e2bERE5OjoSx3EUExMjO3b16lWSSCSkp6dH48ePz2dz7NgxYoyRq6srL01lUKZvIUQ/tUOHDtSxY0eFfsr2Z9Rd30sR4l1t164dSSQSOn78eL406Tuzbds2lWryRZWBbnWNPUgJCgoia2vrQvulhoaG9L///Y9ev36tlJYQYwDyKM52fNeuXdSnTx9ZH7Fs2bLk6elJx48fz/PuFBfq7qOq098uiNzcXAoLCyN3d3fZ5PAv/57h4eEqmZDNxz9S1k8qyYiBbhERERERETVz69YtmjVrFlWrVi3PYL2Ojg5xHKeSQfmiUByryG/evCmbdT979my556xZs0bmfK5YsYK3lpCafFFVoNvLy4s4jqNDhw7JtcnKyqLKlStT3bp1eeeViMjY2Jisra3lpl27dk2pFQfFgTKDUUUlMzOT1q5dS1WrVpV1EJycnHhdq0qVKlSjRg25qw2OHz9OjDH6/ffflc1yHvgMgH3544uzszNpaGhQcnJyvjTpwNDXvHz5krS1tXmXb2RkpCwQu2HDBrnn7N+/n3R1dYkxRhMnTuSlI2Xnzp3Us2dPWSeeMUaVK1emKVOm5BmEbtu2rcqf08ePH5OhoaHcgICpqSk9f/6cOnfuLEtv1qwZ7d+/X2lddZexm5ubrFy3bt1KaWlp+c5JTU2lzZs3k7m5OXEcRx4eHkppEhE1b96cqlWrprBd9erVC6xDv4WZmRk1aNBAbtr58+eJMUYzZ87kde2SpClUoFuI3S0SEhJo2bJl1Lx58zyrTX777bcirYJTBMZYoc8+Y4xGjBihUs0v6datG+nr6ys0YfPjx4+kr69P3bt3V1hPKH9F2k4ZGBhQRETEN88/deoU6evrk66urtz2UBEyMzNp3759NGDAAFkfgjFGJiYmNH78eDp//rzK2huhyvfrVWjnz59X6McHIepBIqJBgwYRx3F5BvalvmCFChXk+kKBgYHEGKNRo0bx0hTCN6tYsSLZ2dnlOy4N7ty8eVOuXYMGDahmzZq8NJVB2b5FSe6nHj58mFq0aCHzF+X9XYqCuut7KUK8q0ZGRtSmTRu5affu3SPGGE2aNEmlmhcuXOD1a9y4scoC3eoaeyAiGjlyZJ7+jHSXA8YYaWlp0cCBA6lVq1ayXdFMTU3p8uXLSut+C1WOAXx5TXW140R5F7dI78Hc3JymTp3Ke8LUtxCij6pOf/trrly5QpMnT6ZKlSrJ7klTU5N69epFO3fupBYtWggWYE5KSqKpU6eSvr6+0uO+JRUx0C0iIiIiIqIGEhMTacWKFdS8efM8Tp6lpSUtXbqUXrx4USzBD3kU9yryGzdukImJCXEcly9I9/fff8tmcW7ZskUpHSE1x44dy+snndWvCPI6m9LtC5OSkgq069mzp9LbEUkkEnJzc5OblpWVRYwxGjlypFIaqqQ4A91ZWVm0YcMGsrCwkL03gwcPphs3bvC+ppaWFg0ePFhu2vv372Wrvb8H6tSpQzY2NnLTChpMJSKys7OjOnXq8NaNiIggPT09kkgktHnz5jxpAQEBskGS3377jbeGFGlHumzZsuTh4UHh4eFyZ8kXR10/ZswYYoxRx44d6cKFC5Senk4JCQm0bds2qlChgmx7WRMTEwoMDFSptrrK+ObNm8QYo5o1axZa90l5+fKlbMv4W7duKaVtaGhIffv2Vdiub9++ZGhoyEtTQ0ODnJ2d5aZlZGQoFdwoSZpCBbql76u6d7eQcvv2bZo1axZVr15dlhdra2tauXKlSraJ/FbZFfdqeVNTU+rSpYvCdl26dCEzMzOF7YTyVxYvXkyMMVqzZk2RbVavXk2MMaVWdf/8889Uvnx5WZ9CT0+Phg4dSgcPHsyzJaiq2huhynfRokXUtGlT2TtSp04dmjt3Lu9PQhQFIepBIiJzc3OysrLKd1w6KF5QIKdGjRpUr149XppC+Gaamppyy9fV1ZU4jqNPnz7Jtevbty/p6ury0iRSb9/ta4ToGxfG0aNHZSueGWPUsmVLOnLkCO/rqbu+lyLEu8pxHA0bNkxuWk5ODjH2eeciVcLXX+G7YlPIsQfp1vANGzakw4cPy3Y8S0xMpL///pt0dXWpa9euRET05s0b8vb2Ji0tLapYsaLSk8cKojjGAIjU345/zePHj2nevHlUv3592bPSqFEjWrhwIT19+lRlOkL2UYmK39+WsnDhQmrUqFGesd5WrVrR6tWr8zyb6hrz/ZJXr17RjBkzZCvL9fX1afr06fTq1Su15kMdiIFuERERERGRYqZ79+6kqakpc3qqVq1KM2bMyOccF6fTo+5V5NevX5d16KXb4c2cOZM47vOWfMXhxKpTU+okq2OLIHmdzWnTphHHcXJXM0oZOHAg6evr87q/wrQVSVc3xRHozs7Opk2bNsneHY7jaODAgXT9+nWlr13aylcZ9PX1CwzqT5kyhapXry43beDAgWRgYKCU9smTJ2WBWOl2guvXr5etnlm8eLFS15cifcel28GdOHFC7nnFUdfXqVOHKlasSKmpqfnS/P39ZbPJC1oppSzqKGPpd4UPHz5cZBvpt0BnzZqllLa2tja5uLgobOfi4kLa2tq8NIWoH0qaZnHWgULtbiGPqKgoGj16NJUvX172rjo4OCjltzDGaPDgwfTkyRO5v2+lK4uWlhavbYZdXV1JS0tLYTuh2tPevXuTvr6+Qt8KzcjIIH19ferduzdvXak/WblyZfr333/l1v1EqmtvhPZXrl+/TtOmTcuzks7W1pbWrFmj8uCGUPeqpaVFQ4cOzXfcycmJOI7L84mbL+nZsydvf18I38zY2Jh69eqV73hhgXWiz+2pMv0adfbd5CFE3/hrjh07RnZ2drJysLGxKXCFriKou76XUtJ8luLSlPY/FfVTypYtq7JAt7rGHlq0aEHlypWjFy9eyE1ft24dcRyXZ8Wvn58fMcZo2rRpSml/TXGOARCpvx0vjJiYGJo4cSKZmZkRx3FkamqqsmsL3Uf9kuLwt6V8uULe29u7wAl56gx0v379mmbNmkVlypQhxhjp6+vT1KlTizRhvLSiAREREREREZFiJSwsDIwxVKpUCRs3bkTPnj3Vovvy5UsEBgbCz88PcXFxICIAQNOmTeHu7g4XFxcMGTIEZ8+ehb6+vkq1GzdujBMnTqBz586YN28eQkNDERMTA21tbQQFBaF3794q1VO3pp6eHj5+/Ij169dDR0enyHZ//vknHj9+rLBeXFwc5s2bJ/v/nTt3AACPHj1C06ZN5do8efIExsbGCmuVBJ4+fcrL7tOnTyrLQ05ODrZv346//voLT548AQD07dsX3t7eBZa5SMHk5ORAIpHITVu6dCmWLl0qN01TUxPZ2dlKaXfq1AkHDx5Er169MGrUKISFhSEoKAiMMaxduxZjx45V6vpSdu7cCT8/P4SFhWH79u3w8fGBubk5XFxc4OrqWqzPzfPnz9G1a1eUKVMmX1r37t0BAO3bt0fDhg2LRV8dZXzhwgUYGxvD0dGxyDaOjo4wNjbGuXPnlNKuUKECnj9/rrDd8+fPUb58eaW0RYqHiIgIobMgo127dmjXrh3WrFmDw4cPY82aNTh27BiuXLkCJycn3tfds2cP9uzZIzeNMVZgOmNM6XrXwMAAqampCtulpqaq3CctTq5fv47mzZtDW1u7yDba2tqwtrbGjRs3eOtyHIfc3FwkJCTIfEs3NzfUqVOH9zVLMo0bN8bixYuxaNEiREREwN/fH3v37sX//vc/TJ48Gfb29nBzc0O/fv0U8stLEgYGBsjIyMh3XHo/enp6cu2MjIyQm5vLS1MI36xSpUpy/fyBAweidu3aBdo9f/4cFStW5KUJqL/v9jVC9I2lnDhxAl5eXjh37hyICM2aNYO3t7fKNH+U+l4o6tWrh7t372Lr1q2oWbNmke3s7OwQExPDS1OosYfbt2+jY8eOqFSpktz0wYMHY9y4cYiIiECfPn0AAG5ubvjrr79w4MABLF68WCl9QH1jACWpHa9WrRpq1qwJc3NzvHz5knebIg+h+6hfUlz+thQiwsuXLxEZGQkLCwtUrFgRZcuWVUHOFePt27dYtmwZVq9ejfT0dOjo6GDSpEmYMWOGUu1oaYCRdNRbREREREREpFgoV64cUlJSAHzuCPbv3x9ubm7o2rUrGGOy89q1a4ezZ88iJydHac0ePXrgxIkTyMnJARGhSpUqcHFxgbu7Oxo1alQsmvK4fv06OnfujNevX8PAwAAhISHo3LlzsWipU7N9+/Y4c+YMzp07h5YtWxbZTtrhVKS8OY4rMG3u3Ln4/fff8x1///49KlasiHbt2uHo0aNF1pKnbWBgUGCn9cmTJ9DX15ebzhjDw4cPeet++W4UFSICY0yp5zk3Nxc+Pj6YP38+4uPjQUTo06cPvL29YWVlxfu68uA4DrVr10bbtm3lpm/fvr3AdMYYtm7dqpR+amoqsrOz8wXinjx5gjVr1uDu3bvQ19dHz5494ebmppRW1apVYWFhgTNnzihk17p1azx9+pRXkPFrTp48id69eyMjIwMSiQTbtm1T+r7k8erVK+zYsQN+fn64dOkSgM9/ryZNmsDV1RX+/v64ceOGSutdjuPg4eGBbdu2FZg+bNgwbN++XWWa8ijOMq5cuTKaNGmicJ3WvXt33LhxQ6lnyNHREadOncKLFy9Qrly5Itm8efMG5ubm6Ny5M44cOaKwJsdxMDMzQ/369eWmR0REFJjOGMOJEydKvWZhespolkQyMzNx8OBBBAQEIDQ0FJ8+fULVqlVlg6yKUr16dV7tqBRlAzvW1tZ48eIFEhISFLKrVKkSKlWqhMuXLytkJ5S/YmRkBAcHB+zatUshu6FDhyIsLAzv3r3jpZuYmAh/f3/4+/vj2rVrAD7fh42NDdzc3ODk5AQTExOV+flClW9hfPr0CQcOHIC/vz/CwsKQlZWFqlWrIj4+XqnrClEPAkDDhg2hp6eH2NjYPMe3b9+OM2fOYPPmzXLtunbtivv37/OqK4TwzYYPH46AgAAkJycXuT1NSUmRtacHDx5UWBNQb9+tMNTZNz516hS8vLxw5swZEBEsLS3h7e2Nvn37qlRH3fW9FKF8Fr5tK99JZB4eHvDz80NgYCCGDBlSZDu+z66QYw9ly5ZFixYtCvzbPH/+HBYWFhg7dizWrl0rO+7s7Iz9+/fjw4cPvLXVOQYAqL8d/5oPHz5g7969CAgIkI0bGhoaYtCgQRg2bFiB4xOKUlL6qFJU7W9LiYmJga+vL4KCgvDq1SswxqCtrY3evXvD1dUVjo6O0NDQKNbx15SUFCxbtgyrVq1CWloatLW1MWbMGMycOROmpqYq1yuJiCu6RUREREREipmXL1/i4MGD8PPzQ2hoKPz8/ODv7w9TU1M4OzvD3d1d5c6zEKvIR4wYIfd47dq18ebNG9SpU0fmzH8N36CdEJoA0KpVK5w5cwaxsbEKDZbw4d9//y0wraDZztu2bcPHjx9hZ2entH56ejrS09MVTldmgN3CwkIpez7k5ubCz88P8+fPx6NHj0BE6NWrF7y9vdG8efNi033w4AEePHigcLoyz29kZCQmTpyI69evAwCMjY0xZ84cTJgwAVFRUejevTs+ffok2wUiKCgIe/bswb59+3jpAUCzZs0QFhaGV69eFXm2f3JyMmJjY+Hg4KCw3perEL7Ezs4OJ0+ehI2NDR49eiT3PMaY3EGcomJsbIwJEyZgwoQJuHv3Lnx9fbFjxw5cu3ZNVuYAsHHjRgwcOFBtOy8UNnDFB3WXcUpKCq+yqlChAu9gkpQBAwbg6NGjmDZtGrZs2VIkm2nTpiErKwsDBgzgrZuYmIjExESF05WpP0uaZmFp6m4nigPp6tQ9e/YgNTUVEokEXbt2hZubG/r378/7usoG+5Sla9euWLp0KQICAuDq6lokG39/f7x8+RLDhw/npSmEv5KWlsZrRaKenl6hef0WZmZmmDp1KqZOnYobN27Ax8cHgYGBuHjxImJjYzFlyhTY29vj2bNnvDW+RojyLQxtbW30798fWlpaeP/+PU6ePKlUkONLhKgHLS0tsXfvXrx//z7PM+Xh4QEPDw+5NhkZGYiNjUWLFi14aarbNwOAQYMG4cOHD3j69GmRA91bt27Fx48f0bFjR16agHr7blKE6qdGRkbCy8sLp0+fBhGhadOm8PLyUqpNKQwh6nspQryrfNcL8rVr1aoVfH19ERMTo1Cgm6+ekGMPTZo0wblz53D16lVYWlrmS1+zZg0YY6hXr16e4x8+fICuri4vTaHGAIRox3NzcxEWFgZ/f38cOHAAHz58gKamJnr16gU3Nzf06tULWlpaKtMrKqruo8qjuPxtKS1btkTLli2xcuVKHDlyBH5+fjh8+DCCg4Oxe/duVKhQAYMHD0ZSUpIK7iYvqampWL58Of755x+kpKRAW1sb48ePx6xZs2BmZqZyvZKMuKJbREREREREjbx580a2nbh0KynGGOrXr4/Xr18jOTlZJbP7hFhFroyDyncVrhCaABAcHIyhQ4cqPPv0l19+we3bt3Hq1CleuupG2Zmt1apVU1FOip969erJAsqOjo7w9vaGtbV1sWr6+PgoZc9ncOjGjRuwsbFBZmZmnuOMMezYsQPTpk1DSkoKxowZgxo1auDRo0fYtGkT0tPTsW3bNt4DUtu3b8eIESMwcuRIbNq0qUg2I0eOxL///ostW7bA09NTIT3piosvuzpF/b+yuwIURFRUFHx9fbFnzx6kpKSAMQaJRAJ7e3s4OTnB3d2d97U5jkPbtm0xcuRIuekeHh6Fpg8bNoyXpjrL+FsrAgrC09MTvr6+Sv1Ns7Oz0bhxY9y/fx+enp5YtmwZDA0N5Z6bkpKCKVOmYNu2bahbty5u3LgBDQ3F55dHRkbyzi8AdOjQQdQsIurc3QIArl27hoCAAAQGBuK///4DEclW8Dg7O8PExERpDaF5/vw56tatC01NTRw8eBDt27cv9PzIyEj07t0b2dnZuHfvHqpUqaKQnlD+ipD10tcQEU6cOAFfX1+EhITIgs6MMQwZMgROTk5wdHSEpqamwtcuaf5gdHQ0AgICEBwcjLdv34Ixhs6dO8PT0xPOzs5KXVuoOsnHxwdr1qzBunXrihy43rJlC0aPHo0///wTc+bMUVhT3b4ZX5KTk/HhwwdUrFiRdzBLiL6bEP3Uzp07y57hxo0bw8vLS6kJd0VB3fX9l9dRBlX4D+rg+fPn2LNnD2rWrKnQdvOJiYn49OlTqeqPBwQEwN3dHeXLl8e0adPQoUMHlCtXDk+ePMH27duxa9cu6Orq4uHDh3lWqNatWxdly5bNtyNGURBiDKAgiqsdv3DhAgICArBr1y4kJyeDMYY2bdrAzc0NQ4YMgZGRUTHczWeE6KNKEdrfTk1Nxa5du+Dn5yfbWUM6Fjt9+nQ4OTnJndChCPPmzcPKlSuRkpICLS0tjBo1CjNnzoS5ubkqbqHUIQa6RUREREREBOLBgweylX6PHj0C8NmJbdmyJZydnTF48OACZ81+C+mWPNJV5FlZWWCM5VtFrspAtxBBOyE0gc+zYdPS0qCpqVngN/NEShfSoJ2uri4sLCwUsmWM4ebNm8WUM9Xi5uaGHTt2wN3dHd7e3jA1NUVsbCxGjx6NlJQUvHr1CrGxsXk6XVeuXEGLFi3QoUMH3lty5uTkoHHjxrh37x5+/vlnLFq0CAYGBnLPTU9Px7Rp07Bx40bUrVsXN2/eLPAbkgUxd+5cXvmU4uXlpZR9YUi3W/X19cWxY8dk9bMy9fC3tlKUdvkKOoePtrrLWOiA0r1799CuXTu8evUKurq66N69O5o3by4bJElOTsbly5dx9OhRfPjwAcbGxoiOjkbdunWV0hUpPhTd3YIxhj59+vDe3WLRokUICAjAzZs3QUSoWbMmXFxc4Obm9l0+Jxs3bsTYsWPBcRyGDh0KZ2dnue/Mjh07EBQUhNzcXKxbtw4///yzwDkvOt8awC2IzZs3F+ung6Rbkvr7+8u2JGWMoWzZshgwYIDSnz4Rgtu3b8Pf3x87duzA06dPQUSwsrKCm5sbXFxcfrhVS8DnMklKSkKjRo147Xiibt9MSITouwnRT/2yP9OuXTuFVi4zxnD48GGFNYEfo74XUQ+//PILNmzYkO/ZJSJoamrC19cXQ4cOlR2/dOkSWrRogcmTJ2Pp0qUK65XUMQBVtuPSe2zYsCFcXV3h6uqKqlWrFku+C9IuiOLoo5ZEf/vJkyfw8/NDQEAA7t69K7vfevXqwdnZmfducl8+vyNGjFB44tD06dN56ZZUxEC3iIiIiIhICeDMmTPw9fXF7t27ZSsTOI5D+/btlf7+pLpWkYsULzdu3MCBAwfw7NkzaGtro2nTphg8eDDKlCkjdNa+C4TaHUDdWFhYgOM4PHz4MM8AZXh4OBwcHNC6dWtER0fns2vbti3u3r2L5ORk3tp3795F27Zt8ebNG+jr66N79+5o1qwZjI2NwRjDq1evZIHC9+/fo3z58oiOjs63Pd33xOvXr7Fjxw74+PjwWoUgRdlVVYVtU1hS+NY37Qvi9OnTePTokUre0YSEBIwePVo2ECxvEA74vCJk48aNqFy5stKapYXs7GxeK9f5kpqaiuDgYPz000+87IXY3UI6GNWsWTO4ubmhdevWCtmrervdtLQ0+Pr6ylasOzo6ol27dirV2LJlCyZMmICMjIwCBzGJCNra2li5ciXGjBmjUv3ihu/3Wotz95CvSUxMREBAAPz9/XH16tVS5bMkJCQgMDBQlncigoWFBVxcXODu7o4GDRoIncVSj1C+2atXr3Ds2LE8/ZpOnTp9F5+kEBIh+zPfe33PFyJCeHg4/Pz84Ofnp1bty5cv895+W8ixhz179mD9+vW4fPky3r9/DxMTE3To0AHTpk1T+Sf/SsMYgLLtuNRX0dbWVlibMYb3798rbCdFiD6qEP52enp6gRPFvubixYuy73lLV9jzfY6+fH6/rHe/XD0uD3X6oepEDHSLiIiIiIiUIL5eiZ2dna1S56M4V5GLfJtVq1YhPj4ey5cvV8hu9uzZWLx4MYgoj9NqbGyM/fv3w9bWtjiyW2Ru3rwpGyhv06ZNkZ38kkRJ25azuNDW1kavXr2wZ8+ePMdTU1NhZGQEZ2dnBAQE5LNzdXVFUFAQsrKylNL/77//MGrUKBw9ehRAwYFCBwcHbNq0SW2zzYUiIyMDmzZtwrJly5R+BksTDx48QO3atRWyKUkDUXfu3MGRI0dw5coVvH79GkQEY2NjWFlZwdHR8YcKvkif4eXLlxf7d6Gzs7MRGhoKPz8/HDp0CJ8+feL9dxVidwu+QVHg8zOcnZ2tkM3t27cxa9YsREVFITs7Gw0bNsTMmTPRr18/3Lx5E126dEFycnIev2LcuHFYtWoVrzwWxH///YfVq1fjyJEjstU10ntq2LAhevbsifHjx/PevraoBAYG4vDhw3j16hXMzc0xYMAA9OrVS6lrlrZJRjdu3ICfnx8WLVqk8msXR/lqaGiAiFCuXDkMGjQIbm5uCk92Km1kZ2cjJiYmT3CpZs2axaqpbt9s48aNmDJlCj5+/JjneP369RESEoI6deoodX1VwrfvJhRCb+ddUur7ksCVK1fg7++PwMBAvHz5EgC/1an/+9//sHr1aoXtTp8+jd69e+Pdu3cK25b0sQdVUtrGAPi048p+Azs3N1cpe3Wjbn8bAPT19dGvXz+4urqie/fuRSrznJwcHDlyBP7+/ti1axef7JboXeyEQAx0i4iIiIiIlFDevn2LnTt3YuzYscVy/eJYRZ6dnY1NmzYhJCQkzwDNmDFj0KZNGxXfgXCafLGzs0NMTIxCndy9e/di0KBBAIBOnTqhWbNmSEtLQ3h4OOLj41GpUiU8fPgQOjo6xZLnjIwMbNiwIc9A+dixY1GtWjWkpKRg6NChCA8Pl51vaGiIDRs2YMiQIUrrzp8/H4GBgXjx4gXMzMzQr18/zJgxo8DtKT09PeHn58ercyIEI0aM4G3LGOO19Whh2z8Xlqbq74neunULoaGhuHr1Kl69eiULFFpaWqJ79+5o3LixSnS+JDs7G/Hx8bL6rnz58qhevbrSnX95ZGZm4u3bt6hQoYLcVa5paWlYu3YtVq5cKVsl/73NqP6aN2/eYOfOnfD390dMTIzC76lQn6oQis6dO/O2ZYwpvRtMSXqGz58/LxsEevPmDYgIEokEHTt2zNP+KIIQu1t07NhRqdWKinwj9smTJ2jWrBlSUlLw5ZAPx3E4evQoJk6ciPv376Nfv36yFeshISHIzc3F3r170bdvX975LIysrCy8ffsWRITy5cvz+l60PA4fPoxp06bBzc0Ns2fPzpOWm5uLwYMHIyQkBEDebTJHjRqFDRs2qCQP3zNCla90sLp69eoKr0Tju6WskHXvoUOH8PPPPyMhISHPcXt7e/j6+qJixYq8r10U1OGbRUREoEuXLiAi1KpVC5aWlkhLS8OFCxeQmppa4rZF59N3+5LS1E9VNcVV30sR2k+Sx7Nnz2Qrb2/fvi2rDxs1agQnJyfMmTNH4WtyHIeJEydixYoVRbY5duwY+vfvj4yMDIWfXaHHHkRElEWd/rYU6XgCYwwmJiZwcnKCm5sbbGxseOdDhAckIiIiIiIi8kPz6dMn2r17N/Xt25e0tLSI4zhe18nMzKSOHTsSx3HEGMvzk0gktHHjRhXnXBhNZbC1tVW4fLt160Ycx5GPj0+e4xkZGdSzZ0/iOI527NihymzKeP/+PTVv3jxf+VaoUIHu3r1Lffr0IcYYVaxYkVq2bEkVK1YkxhhpamrSlStXeOtmZWVR+/bt8+lyHEcVKlSg/fv3y7Xz8PDg/fwKwdfPrCI/vvfJGCNPT0+F04Qs2/v37ytlf/DgQbK3tyc9PT3iOC7Pz8DAgHr06EFHjx5VSV6vX79O9vb2srpUIpGQg4MD3b59m4iIcnNzaenSpVShQgXZ821tbU0HDx5Umf5ff/1FP//8M02cOJG2bt1KqampKrk2Hz59+kTBwcHUp08f0tbWlt1z2bJlBctTaUGI+oFI+GdYyoMHD8jb25vq1Kkje18ZY9SmTRtavXo1vXz5Uqnra2lp0YABA/IdT0lJIcYYubi4yLVzcXEhDQ0NpbTVwejRo4kxRl27dqWTJ0/SzZs3ycfHh8zMzGRleuzYsTw2R48eJcYY9ezZU6Bc82fcuHHEcRzFxcXlS1u3bp3s3Rg0aBCtWbOGfv31V9LV1SWO4+jw4cMC5Fg99OrVi8qXL6/0dYQqX6H8JCHq3suXL5OWlhYxxqhMmTJkbW1NdevWJQ0NDeI4jlq1asX72sUBX9+sb9++xBijefPmUW5uruz4y5cvqVWrVsRxHIWEhKgqm0rDp+8mpbT1U0sbQr2rX5OSkkJbt26ljh07kkQikf29OY6jOXPm0I0bN5S6vpmZGXEcR1OmTCnS+Xv27CEdHR1ijNHUqVMV1hNy7OFrPn36RNHR0bR582ZavHgxLVmyhLZu3Urnzp2jzMxMteShuMjMzKTatWuTtrY2nTlz5pvnnz17lrS1tal+/fqUnZ2thhyqlpLWR1U1T548ob///psaNWqUp56pV68e/fXXX/T48WOhs/hDIAa6RURERERE1EhKSgq9fv063/H4+HiaOnUq9e7dm5ycnMjPz0+A3BG9efOG1q1bx8t26dKlxBgjIyMjmjdvHh08eJB27NhBTk5OxBgjHR0dSkhIUGl+hdBUBj6DJcbGxmRtbS037dq1a7w7sUVh7ty5xBgjMzMz+uOPP2jt2rXk6ekpC3xwHEdz586VnZ+bm0teXl7EGKPhw4fz1v3nn3+IMUbVqlWjwMBAunXrFh06dIi6du0qGxxau3ZtPjtlg7EjR46kTp060dmzZ7957tmzZ6lTp070888/89bbvn27Uj8+lJZA9+vXr2nt2rVkZ2dHEomE1zUyMzPJzc0tzwCjjo4OVapUiczMzEhbWztPR9TT01OpgYPHjx+ToaGh3AFNU1NTev78OXXu3FmW3qxZswInbfBh1qxZ+QbYOI6jihUr0rlz51SmUxQiIiJo5MiRZGRkJMuHrq4uDRw4kIKDg+njx49qzY+qePnyJe3fv5/27NlDt27dypMWGBhINjY2VKZMGTIzM6OffvqJEhMTeWtFREQo9eOD0M/w69evad26dWRnZ5cnuN2gQQMyNTVVaR1UWupCvtSsWZPMzMzow4cPeY7v2bOHGGNkY2Mj187a2ppMTU3VkUWVYm1tTTVq1JCb1rBhQ+I4jsaMGZPn+JEjR2TBWVXz6NEjiomJoYsXL9KjR49Ufv2iIg2yKYtQ5RsfH6/Ujw9C1L1ERM7OzsQYo9GjR9P79+9lx2/evEn16tWTOzlF3ajCNzMzM6MGDRrITTt//jwxxmjmzJnKZFOlKBPoFqKfGhkZSXfv3lXYLjw8nP755x+V5qW4EepdJSLKzs6mAwcO0JAhQ2STehj7PBn8559/prp166rMV7h165bMB5o+fXqh5/r4+JCmpiYxxvL00RVByLEHKWlpaTRlyhQqU6ZMvknK0p+hoSHNnDmT0tPTldZT9xgAEZGvry8xxmjOnDlFtvnjjz+I4zgKDAxUSlvdlKQ+qjqIi4ujKVOmUJUqVfLcb/v27WnTpk309u1bobP43SIGukVERERERNRAREQEWVpa5nHqpJ3JyMjIPB0kqTPUr18/gXOtGC1atCBtbW26evVqvrQZM2YQx3G8g+glSVMZ+AyWSCQScnNzk5uWlZVFjDEaOXKkKrKXD0tLS9LT06OnT5/mOS4duKlVq1Y+m9zcXKpZs2aBA6JFoVWrVqSrq0sPHjzIl7Z+/XrZytA///wzT5oyAYjjx48TY4yGDBlSZJuhQ4cSx3EUGRnJS1MIvuxs8fkVJ6pe/Tt58mTZyqjff/+dbt68mWf1UG5uLt24cYPmzJkjG0j51gBSYYwZM4YYY9SxY0e6cOECpaenU0JCAm3bto0qVKhANWrUIMYYmZiYqHyAQhq8YoxR586dacqUKTR69GiZprm5ebEHl2/dukWzZs2iatWqyf52EomEdHR0iOM4lQxEfYunT5/S5s2bacGCBeTj46P0qt8v+fvvv2XPpfTXv39/yszMpFWrVsndgaJu3bqUlpamsjwUN0I8w9L3vm/fvnneezMzM5o4cSLFxsYSEVHbtm3FQLcCaGtrU+/evfMdf/36NTHGyMnJSa7d0KFDSVNTU2X5uH37Ns2bN49+/vln8vb2psuXLxd6/pYtWwos+8KoVKkS9e/fP9/x58+fy95HeStQGzZsSBYWFgrryePChQs0dOhQKleuXL6208jIiIYOHaqyAd0ePXoU6Ve+fHniOC7PMUdHR4X1SkL5fu9UqVKFatSoIXfCndRH/f3339WeL1X7ZhoaGuTs7Cw3LSMjgxhjNGrUKGWyrFKUCXQL0U9ljNGIESPkppUrV47Gjx8vN02Itq1///5Us2ZNtWoqy/nz52ncuHFkYmIiexd0dHRo4MCBtG/fPtkqY1X7LDdv3qSKFSsSx3E0e/ZsueesWbOGJBIJMcZoxYoVvLWEHHsgIkpMTJRNoGLs885x9vb25OzsTE5OTtS1a1cyMTGRtT1NmzalpKQk3npCjQFI69R3794V2SYlJYW0tbVL1ThhSeijCkVubi6dOHGCPD09ydDQUPbMyqsz+DJ37lzev3nz5qnoTksOYqBbRERERESkmLl+/XqelYNfDoLv3LmTqlatSmXLlqVp06bRunXraOrUqVS2bFniOI73qs0vUdcq8rJly1LHjh3lpj158oQYYzRhwgSlNEqCpjLwGSwpbMC9KOnKoK+vT/b29vmO//fff8QYK7CT1a9fP9LR0eGtW6ZMGeratWuB6REREbKVopMnT5YdV2aQZvjw4QUO1BbEw4cPCx1QKk6OHz/Oy66kbPP3JcWx+jc+Pp4kEgmZmJjQnTt3vnn+7du3ydjYmDQ0NPJN7CgqderUoYoVK8rdhs3f358Y+7yt/82bN3ldvzCE2mYwMTGRVqxYke8TB5aWlrR06VJ68eKFygb74uLiaOzYsfnuUcqKFStk221Lf/r6+irZIeXAgQOye6tWrRq1aNFCtvLZ29tbts3s4cOHZTtQSMukNA0iCPEMS997xhjp6+uTq6srhYaGUk5OTp7zvrdAd3H7ZkLfH9Hn3Vk0NTXzreBxcXEpcDULX30tLS25wbOgoCBijBUYTBkwYIBS/oqUKVOmyAIMjDHS1tYucPeQSZMmKa0nvVZR225l23Khy/dHQEtLiwYPHiw37f3797LV3uqiuHZmEbJfwwdlAt1C9FNLQt1fVJQpW6H4si3r0KEDbd68WW6gUtU+CxHRjRs3ZAH2rye9/P3338Rxnz83s2XLFqV0hH5HHRwciDFGTZs2pRMnThR4Xnh4ODVp0oQYU+6TK0KNAVSuXJnatWunsF379u2pSpUqCtkoM8md7+4dUoTeCr+k7KiZkZFBQUFBsgkO0rqkfPnySu0OoIg/+LVfWNrq36KgIfQ3wkVERERERL53Fi5ciMzMTLi7u8Pb2xumpqaIjY3F6NGj8euvv+LVq1eIjY2FpaWlzMbFxQUtWrSAr68vhg8fzks3MjISEydOxPXr1wEAxsbGmDNnDiZMmICoqCh0794dnz59AhEBAIKCgrBnzx7s27ePl15aWhqqV68uN83CwgIAkJ6ezuvaJUnzR+LDhw8wNzfPd1x6rFy5cnLtjIyMkJmZyVs3NzcXJiYmBaZ36NABkZGRcHBwwMqVK5GamopNmzbx1gOAc+fOoUmTJqhdu3aRbWrWrAlLS0ucOXNGKe2icv36dfj5+SEwMBAJCQnIzs5W+Bq5ubnFkDPFuX37Nvz8/LBjxw48e/YMRASO46ClpYXMzEwkJydDX1+f9/W3b98OIsLKlStRr169b55fv359rFy5Eu7u7vDx8cFvv/2msObz58/RtWtXlClTJl9a9+7dAQDt27dHw4YNFb72t7h8+TKaNWuGYcOG5Tmura2NBQsW4MiRI7h8+TKcnZ1VptmjRw+cOHECOTk5ICJUqVIFLi4ucHd3R6NGjVSmIyU4OBgbN25E375986WFh4dj8uTJAICqVauiZcuWePjwIeLi4jBixAhYWVmhcePGvLXXrl0Lxhg2bNiAUaNGAfjctgwZMgQLFiyAlpYWwsLCUKFCBQBAgwYN0LJlS9SsWRP79+/H77//zltbnQjxDKekpIAxBnNzc2zatAmOjo4qu/a38PHxgY+PT77jjLEC05RF3b6ZUERHR2PSpEkgInTr1g2WlpZ49OgRDh06hJ07d+LixYsICwtDjRo1VKKnr6+PZ8+e5Tt+9uxZAEDLli3l2mlqakJLS0sp7YkTJ2L16tXQ1dXF//73P7i4uKBx48bgOA4AkJOTgxs3biAgIABr167FP//8g6ysLKxevZq3pra2NrKysjB69Gg4OTkVeN6vv/6Ka9eu4dSpU7y1AGHL90ueP3+OyMhI3L59G2/fvgVjDOXLl0fDhg3Rvn17uT5raSErKwsGBgZy0/T09GTnFCfF7Zv9aIj91O8XMzMzdO7cGZ07d4ahoaFaNBs1aoSTJ0+ic+fO+OuvvyCRSODl5YVZs2Zh8eLFkEgk8PX1LbRNKOlcuHABx44dQ7NmzRAdHQ1dXd0Cz+3atSsuXLiA1q1bIzQ0FDExMQW2RYUh1BjAq1ev0KFDB4XtqlSpggsXLihkI/Up+aCMLSBMHxUoef62trY2Bg8ejMGDB+Pt27fYuXMn/vjjD7x+/RqbNm3C+vXreV3Xy8tLxTkt3YiBbhERERERkWImKioKFhYW2LZtGyQSCYDPA8WrV6+Gg4MDWrdunSfIDQDNmjWDra0trl27xkvzxo0bcHBwyBNsTE5OxqRJk2Bqaopp06ZBU1MT48ePR40aNfDo0SNs2rQJBw4cgI+PD+/gOmOs0HRlHeWSovn06VNedp8+feJlt3v3bkRERMhNY4wVmM4Yw8OHD3lpSpEO1KqTatWq4cGDB4We07RpU0RHR8Pe3h7btm1Denq67P3iw/Pnz9GzZ0+F7erUqYMjR47w1v0WL168wI4dO+Dn54cbN24A+PxMK9IZLym8fPkSgYGB8PPzQ1xcnOzdbNq0Kdzd3eHi4oIhQ4bg7NmzSg+knj17FmXLllVosMfJyQnjxo1DdHQ0L82MjAwYGxvLTZMGQKtUqcLr2t/i7du3skDk1zRo0AAA8O7dO5VqhoWFgTGGSpUqYePGjbzeH0U4ffo0ypcvD3t7+3xpCxYsAPC5bQ0NDZUNjM2fPx9//PEH1qxZgw0bNvDWvnTpEpo2bSoLcgOAgYEBFixYgGbNmqF9+/ayv7EUExMT2NnZKTwYJUWZgC9jDIcPH1bYTohn2MHBAcePH8eLFy/Qu3dvWFhYwMXFBa6ursUyKeRL+PoH3/I7CkIo30wIVqxYAQDYuHFjnvfm4cOH8PDwwJkzZ9C2bVscPXoUTZo0UVqvcePGOH/+POLj42WBpZycHOzbtw+MMXTq1EmuXXx8PCpVqsRb98yZM1i9ejWqV6+OsLAw1KlTJ985EokElpaWsLS0xMiRI9GtWzesW7cOzs7OaN26NS/da9euYcyYMdi0aRMeP36M9evXy500YGRkBAC8BtO/RKjylfLff/9h4sSJCAkJkb230n+l7yPHcRg0aBCWL1+ulKYQda+QqNM3k3L06FF07txZ4XTGGE6cOMFLU919NylC9FPVzeLFi3nZvXjxQildId7VBQsWICAgADdu3MDcuXMxd+5c2Nraws3NDUOHDkX58uV556koNG7cGCdOnEDnzp0xb948WYBXW1sbQUFB6N27t0p0hBp7CAwMBGMMq1atKjTILUVXVxerV69G+/btsXPnTl6BbqHGAHR0dPDx40eF7T5+/AgdHR2FbISc6C5EH7Uk+9vXrl1DQEAAAgMD8ebNGwBQagxLDHTnRQx0i4iIiIiIFDMvX75Er1698jkwrVq1AvA5qCePatWq8R4gF2oVeXp6eqEDCYWlS2e2lwbN6tWr8xroJiJedunp6YXO+C8one9gvNBYWloiODgYCQkJhQ5W1qpVC9HR0XBwcEBQUJBSnQS+MMZUPkiVnp6OPXv2wN/fHxEREcjNzZWtmB0yZAicnJxgY2OjUs3iRt2rf2/fvo3mzZsrNFFDIpHAxsYGt27dUnl+pBTXxJHc3FxoamrKTdPQ+Nzly8nJUammoaEhUlJS8OLFCzg7O6N///5wc3ND165di6XuiY+Ph42NTb4yTE1NxenTp8EYw4IFC/IMjM2cORPr169HVFSUUtpv376VG2CvX78+ABS4irBSpUq8V2sdPXpUYRtpfVScdb+qn+HQ0FAkJSUhICBAFmhZsGABFi5cCEtLSwwbNqxYVicJMeinbt+ssIHogtJevXql6G3J5ezZs2jcuHGeIDfwud2OiIjA+PHjsXHjRnTs2BGHDx+Gra2tUnru7u6Ijo5G165d8dtvv8HY2Bhbt27F06dPoaenh0GDBuWzSUlJwZUrV+Dg4MBbd8OGDWCMYdeuXXKD3F9Tt25d7Nq1C3Z2dli/fj3vQHedOnVw8uRJbN26FdOnT0fjxo0xZ84cTJ8+XVbnqxKhyhcA7t+/jw4dOuDly5cAAGtra1hZWcHY2BhEhFevXiEuLg6XL1/Grl27EB0djcjISNSsWZOXnpB1b3R0NEaMGKFwOmMMW7duVVhP3b6ZlMTERCQmJiqcrkz5qrvvJkWIfqq6mTlzpiBlK8S7OmPGDMyYMQNxcXHw9fXFzp07ce7cOZw/fx6//vorevToAVdXV6UnSBRGkyZNZCu7Y2JiYGBggJCQkEInjyiKUGMPMTExMDc3R5s2bYps07ZtW1SuXJn3uBlflB0DqFq1Kq5cuaKw3ZUrV4pt4nRxIEQfVaix0IJ49uwZduzYgYCAANy8eTPfhDJXV1eV6v3IiIFuERERERGRYiYrK0vullZly5YF8HkbG3loaWnxHogVYhU5AOzZswd79uyRm8YYKzCdMcZrG2ahNC0sLNQWRH78+LFadAqisEG3gtL4roiV0qtXL+zcuRPr1q3Dn3/+Wei55ubmOH36NHr06IELFy7w/ruYmpri/v37Ctvdv38fpqamvDS/JDc3F2FhYfDz88OBAwfw8eNHEJGs7khNTeW9GqUkoO7Vv+/eveP1dzExMUFMTAxv3QcPHsDX15dX+tdbupV0Xr58iYMHD8LPzw+hoaHw8/ODv78/TE1N4ezsDHd3d1hZWalMLzk5We5q43PnziEnJwfGxsaws7PLk6ahoQErKytERkYqpZ2bmyt39YS0/S4o+KtMUFjRrYYPHTqEdevW8Vod8iVCPMMVK1bEpEmTMGnSJNy+fRs+Pj4IDAxEXFwcrl69Klt5AXyuC6X+U2lD3b5ZYQPVhaWpwr95+/YtOnbsKDdNIpFg/fr1qFSpEry9vWFvb4+QkBB06dKFt95PP/2E3bt3Izw8HD/99BOA/79Scu7cuXJX2fn5+SErK0vuJJaicvr0aTRr1gwtWrQosk2rVq3QvHlznD59mreulJ9++gl9+vTB//73P/z2228ICAjA+vXr0b59e6Wv/bWOEOULfB58TkxMRLdu3bB27VrUqlVL7nn379/H+PHjER4eDldXV5w7d46XnlB1L/C5fi1sR6OC0vkGutXtmwGKl6+qUGff7UuE6KeqGy0tLWRlZWH27NkKTbTZsmWLUqu6hXxXraysYGVlhaVLlyI8PBy+vr7Yv38/Dhw4gIMHD8rOCwsLQ9euXZWajF1QP7x27dp48+YN6tSpA39/f/j7++c7h0/dIOTYw+PHj2Ftba2wnaWlJS5dusRLU6gxgE6dOmHt2rUICwsr8oSw0NBQPHnyBOPHj+et+yMg1Fjol6SkpCA4OBj+/v6Ijo4GEYGIYG5uLptQpoodjaQcOXIEISEhePbsGbS1tdG0aVN4enqq7BNBpQUx0C0iIiIiIvIdIsQqciEGEIQatIiPj1ebVkF/K3VR2KBbYWnK/F169uyJOXPmFPitwq8xMjLCyZMnMXv2bN5bX7Vu3RqBgYG4c+eObJXmt7h9+zauXr2q1DelYmNj4e/vj507dyI5ORlEBE1NTfTu3Rvu7u7o3bs3unTpIvsOZmlF3at/09PTFd7WDfi8jdz79+956545c6bQ77VFR0cXmK5soFvd2wxqaWlh4MCBGDhwIN68eSPb+jQmJgYrVqzAypUrUb9+fbx+/Vrha8uD4zgkJSXlOy4NZhQUaDIyMlL5SgF1UNStho8ePQpvb29cvHgRRISWLVvC29ubt66QzzDweRvDhQsXYsGCBYiIiICvry/27t2LtLQ0AJ8HJHv06AFnZ2f06tWrSFtblhTU6ZsJPUnO1NQUb9++LfScP/74AxUqVMCECRPQu3dv7Ny5k7cex3E4dOgQVq1ahX379iE5ORlVqlTByJEjC2yjjx07BktLS6WCey9fvuS1Krtu3bq4efMmb90vMTExwc6dOzFs2DD88ssv6NSpE4YPH44lS5ao5PqAcOV7/PhxXLp0CV26dEFoaGih/kKdOnUQGhoKe3t7RERE4MSJE7wmTwhV9/7777+8bfmibt8MUH4bfb6os+8mRah+qrqxtLREbGwsBg0alC94VBhHjx5VKtAt1Lv6JRzHwcHBAQ4ODnj//j12794NPz8/2Y5cjo6OqFChAgYPHoyhQ4fymoS0ffv2QtOvXLlS4MpgPoFuIcceUlJSeG3/Xq5cOaSkpPDSFGoM4JdffsH69esxYsQInDp1CnXr1i30/Lt37+Knn36CRCLB2LFjeesWRG5uLkJDQ3H37l3o6+ujW7duKguSqruPKsRYKABkZmbi0KFDCAgIwJEjR5CZmQkigoGBAfr37w93d3d06dJF5e2Cq6urzIeWTkI8ePAgli5dip07d6JPnz4q1SvJiIFuERERERGR7xAhVpELMYAghKa6qVmzJgYPHoxFixapXVuIQTfg88Dbt1Zyf42urq7sm6B8cHd3x44dO/DTTz/hxIkT3wySZmRkyFY1ubu789Js0KAB7t27B+Bzp6R169ayb7yVK1eO1zVLKupe/SsEQn8/V8hPHJQvXx7jxo3DuHHjZCt+d+zYgdu3b8s07Ozs4OzsjMGDB/P6fmqdOnVw4cIFpKWloUyZMrLjR44cAWMMbdu2lWuXmJiokm/EJiYmFrgFekFphW3NqizHjh2Dl5cXYmJiQESwsbGBt7e3Ut+sFPoZ/hLpd387deqE9evXIyQkBH5+fggPD0dISAj2798PfX19pKamCp3VIqNO30zoSXLS9zU7O7vQFX7jxo2DkZERPD09MXjwYFStWpW3pqamJqZMmYIpU6YU6fwDBw7w1pKir68vm4ShCGlpadDT01Na/0scHR1x69YtzJkzB2vWrMHBgwehpaWlsusLUb67d+8GYwzLly8vUlvFcRxWrFgBKysr7NmzR6ldAgqiOOpeQJj690fwzYREqH6qunfjatWqFWJjY/NtBSw0xfWuFoS+vj6GDx+O4cOH48WLF7JV1jdu3MD69euxceNGXqv01d0fF3LsISMjg9fnNzQ0NHhvFy/EGADw+fNHs2fPxp9//onmzZtj4sSJcHZ2RqNGjWTtHRHh5s2b2LFjB1atWoUPHz7gt99+k33bWhGSkpLw999/IyoqCtnZ2WjYsCEmT56Mli1b4r///oODg4Os3wZ83n1nwYIFRW7zC0PdfVQhxkJHjRqFPXv2ICUlBUQEiUQCe3t7uLu7o3///ir3+aRs3boVgYGB0NDQgLu7O5o1a4a0tDQcOnQI586dw7Bhw/DkyRO55fFdQiIiIiIiIiLFCmOMOI7j/eOr6enpqXCah4cHb02R4qGwv5dIXoYNG0bNmzfnbd+nTx9ijFHTpk3p2LFjBZ4XFhZGTZo0IY7jqFevXrz1pHVD5cqV6cSJEwWe17Zt2+/qvXz9+jWtWbOGWrVqRYwxWTk0bNiQTE1NVXKvjDFq1qwZzZ07V6GflZVVqSzr+Ph4pX7FRXR0NI0ePZrKly8v+ztraGhQ586dFb7Wb7/9Rowx6tu3Lz1+/JjS0tJoyZIlxBgjiURC9+7dy2eTlZVFhoaG1LFjR6Xuo7B2vChpqiQ8PJxat24tu761tTUdPHhQpRolmaSkJFqxYgU1b9681L2rP5JvtnDhQuI4jnbt2lWk8w8fPkx6enpK+b58SElJoS1btvC2t7Ozo3LlylFGRkaRbT5+/EhGRkZka2vLW/dbXLx4kaysrIqlDlIEZcvX2tqaatasqbBdrVq1yMbGhreuPEpy3Xv8+HGlr6EO30yk+JH+7fj8+P6N/fz8iDFGo0aNUsiuX79+VL16dV6ahVHS3tW4uDiaPHkymZubC5YHRRBy7IGvtrJ+krrHAL5kzpw5efoOurq6ZG5uTubm5qSrq5snbebMmbw0Xr16RdWrV5e9E9Kfnp4eXbx4kdq0aUOMMWrRogUNGTKEbGxsZHVCZGSkUvcnRB9VCH9bWqZWVla0bNkySkhI4HUdRWnXrh1JJBK5foD0frZt26aWvJQExBXdIiIiIiIiaoD+bwsZRfnetzt79+4dgoKC4Ofnp5JvFZZUzdJKQkIC75WQc+bMwV9//aXiHBXOvXv3EBcXx9t+x44d6NmzJ6KiotC9e3dUqFABVlZWMDExAfD5G8FxcXF4/fo1iAht27ZFYGAgb7369evjzp07ePHiBezt7dG2bVu4ublh8ODBMDIy4n3dko46Vv8CQFxcnELPA2MMRFQq612hV28WRJs2bdCmTRusXr06z6qxgravK4ypU6fC19cXBw8ezPP9QwBwc3NDnTp18tkcOnQIqampBX4ruKi0b99e8Ofi5MmT8PLywtmzZ0FEsLKygre3d4nZji49Pb3In5tQBhMTE/z6669wdnbGhAkTil3veyc+Ph7JycmoUaMGjI2NVXbdfv36YfXq1di2bRuGDBnyzfMdHR1x7Ngx9OrVq9hX6WdnZ8tWrx46dAifPn2Src5SlH79+mHmzJmYNWsWli9fXiSbWbNmITU1Ff379+elWRRsbGwQGxuL58+fF5tGQaiyfJ89ewZbW1uF7Ro1aoTz58/z0vyaklr3Xr9+HX5+fggMDERCQoLS33NWl2/WuXNn3nlkjOHEiRO87UsDyvZThdiNa8CAAWjSpEme3XaKwr59+1Saj5L6rlpaWmLZsmUq/ZzE98zRo0cVrifu3LmjlKa6xwC+ZP78+ejXrx+WLl2KsLAwpKSkICEhQZZuaGgIBwcH2eprPixYsABPnjxBo0aNMHnyZJiamiI2NhZLlizBL7/8gkuXLmHbtm3w8PCQ2Wzbtg0jR47EmjVreG25L6Wk9lFVzbRp0+Du7o7GjRurVff69euwtbWVu4PN7Nmz4ePjg+vXr6s1T4IiYJBdREREREREpJgQYhV5UcnMzKS9e/fSgAEDSEdHp9Rqfvz4kebMmUM1a9YkHR0dql69Ov3666+Fzt708PAgiUSikI6Qs6rr1atHiYmJCtuNHz9ekJUftra2Suvm5OTQ0qVLqXLlygWueDA3N6clS5ZQdna20nmOjY2lCRMmkKmpqey91dHRoQEDBtC+ffsoMzPzu1vRXRCqXP3r7e2t1K+0UaNGDZo+fbrQ2SgSb968oXXr1vGyffLkCfXq1Ys0NTWJMUa6uro0evRo+vDhg9zzpSvTzp8/r0yWBeXUqVPUvn172SoMKysr2rdvn9DZIqLP9eXhw4fJ2dmZDAwM1KL59OlTGj9+vGz1b2lC3b5ZSkoKzZo1i1q1akXt2rWjBQsWyFYeX7lyRbaDBcdxJJFIqG/fvrza/NLCuXPnaNy4cWRsbCx7nzQ0NKhr1668r/n+/XuqXLkycRxHo0ePprdv3xZ47tu3b2nUqFHEcRxVqVKF3r9/z1tXGV69elUs1y2O8tXW1qZhw4YpbOfu7k7a2tq8dYlKZt3733//0ZIlS6hp06Z5dg6pU6dOsWmq0jcjEmbFsRR19d0URYi+8feEOt/VyMhIunv3rsJ24eHh9M8///DWzcrKorVr15K9vT3Vr1+fLC0tyd3dnaKjo3lfsyCEXtEtVP2g7jEAeeTm5tKDBw/owoULdP78eXrw4AHl5uYqfd369euTkZERvXnzJs/xbdu2EWOMGjVqJNeuUaNGVKVKFaW0heijluSxUFXDcVyBflJOTg4xxuinn35Sc66EgxHxXGImIiIiIiIiUmLhOI63LWMMOTk5KszNZ86cOQM/Pz8EBwfj3bt3ICJoamrC3t4ezs7OcHV1LTWa2dnZ6NKlC6Kjo/Os1meMoVy5cti2bZvc2eOenp7w9fVVqHw5joOHhwe2bdvGK6/KwHEcGjRogFOnTqFixYrfPJ+IMGLECPj4+MDAwEDt3061s7NDTEyMSp7f3NxcxMXF4cqVK7LZ28bGxrCyskKzZs2UesfkkZOTg7CwMNmK1Y8fP4IxBiMjI+Tm5iI1NbVY3suSSGZmZp7Vv9nZ2aXq3nNycnDz5k1kZ2ejVq1aeb6Jde7cOSxfvhx3796Fvr4+evbsicmTJyv93S4h6wkhyMjIwNu3b2FsbAxNTc0Cz0tJSQGAUvldsqioKHh5eSEqKgpEhCZNmsDLywsDBgwQOmuIjY2Fn58fdu3aheTkZNlOCHzf09zcXOzcuRNhYWFISkpCxYoV0aNHDwwZMkRW1z579gxz586Fn5+fbOVi//79sXv3bpXdV3GjTt/s48ePsLOzw/Xr12V+CmMM/fr1w8aNG9GkSRO8evUK9erVg7GxMa5cuYK0tDQ0adIEFy9eVOm3nYXk4cOH8Pf3R0BAAB4+fAjgs6/SunVrODk5YciQIUXybwojLi4OnTp1QmpqKnR0dNC9e3dYW1ujYsWKICIkJSXh0qVLCAsLQ0ZGBsqWLYuTJ0+iWbNmqrjFIpOQkIAlS5Zgy5YtKvPPirt8+bZtfPxtKSWt7k1PT8eePXvg7++PiIgI5ObmgohQpUoVDBkyBE5OTrCxsSn2fKjKN4uMjFQqHx06dOBlp86+W1ERom/8PSHEu8pxHDw9PbF169Z8aeXLl4erqytWr16dL02Z5ygrKwvdunWT3efX+Vm3bh1Gjx6t8HULQsg+hVD1w5eoewxAUQ4ePIi//vpLoV1L9PT00LFjRxw5ciTP8aSkJJiZmWHgwIEIDg7OZzd48GAcOHCA9/fPAWGeJyHGQp8+fcpbEwAsLCx42X2rfH+0MQJx63IREREREZHvkNzcXKGzAODzVtL+/v7w9/fHkydP8gy2btq0CQMHDkS5cuVKnea6detw+vRpWFhYYOHChbC0tMSjR4+wcuVKnDhxAgMGDMCqVavwyy+/qOKWEBcXh3nz5vGy/eOPP3jrDhgwAHv37kXnzp1x6tQp2fZd8sjOzoazszP27NkDIyOjfB2p0gbHcWjevDmaN2+uFj2JRAJHR0c4OjoiLS0NwcHB8PPzkw1qMMZgbm4OJycnODk58d66rDSgpaWFgQMHYuDAgXj79i127tzJ6zonT57E8+fPYWNjg4YNGxZ67q1btxAbG4uqVauiU6dOvPSAz1vfTZw4EW/evAEAaGpq4pdffsHy5csRHBwMZ2fnPPVzTEwMjhw5gsjIyEIDtiWd1NRUZGdno3z58nmOP3nyBGvWrMkT2Hdzc1NaT0dHp0jbppbGALeUjh07gjEGXV1djB07FoMGDQJjDDExMUWyV3UdER8fj4CAAPj7++PevXsAPge0mjdvLquX+JCdnQ1HR0ecOHEizwCuv78/goKCsHfvXmzbtg0TJkzAx48fAQB9+/aFt7c3mjZtqvyNqRF1+mYrVqzAtWvX0KVLF8ydOxcSiQTz589HSEgINDQ0wBjD+fPnYW1tDQBIS0uDs7MzQkNDsWXLFpX5L0eOHEFISAiePXsGbW1tNG3aFJ6enqhRo4ZKri+PN2/eYNeuXfDz88OFCxcAfH5W69evjzdv3iA5ORnR0dEq07OyssLVq1cxevRoHDt2DPv27UNISEiec6TPtr29PTZu3Ijq1aurTP/x48eyCSLyyvXx48dYtGgRfHx88OnTJ6UH6dVdvuqmJNS9ubm5CAsLg5+fHw4cOICPHz+CiGRtWmpqqtKD6oqiKt9MFYEoPqi771YQQvSNv+bZs2cICwvDq1evYG5uju7duys94QdQf30v1Lta0HrBd+/e4f3797yuWRirVq1CZGQkDA0NMXnyZDRr1gxpaWk4cOAAdu3ahYkTJ6JPnz4wMzNTmaZQYw9C1Q9fou4xgKJARNi1axcWLFiAGzduKGyfkZEh9/mQvvcFfXbAwMBA6c9iCIEQY6HVq1fn/ZkrxlipLOcSSfEvGhcRERERERH5kUhOTqZVq1ZRy5Yt82yr17hxY1q4cKFsu73SrNmqVSvS1dWlBw8e5Etbv349aWtrE8dx9Oeff+ZJ8/DwUDgffLdeUsUWXtnZ2TRgwABijFGTJk0oOTlZ7nkfP36kHj16EGOMKlasSHFxcUrp8kUVW5crysePHyklJaXYrv/s2TP6+++/qVGjRnmehVq1ahWb5vfA06dPSUdHh+rUqUOpqanfPD81NZXq1q1Lenp69N9///HSPH36tOzd09TUJBMTE9nfbM2aNWRsbEwWFha0du1aOnLkCK1Zs4aqVq1KHMcptZ0hkXDbDEZERJClpaXsuaxYsaLsXiIjI0lXV1dWJtKy6Nevn9rzqUpSUlLo9evX+Y7Hx8fT1KlTqXfv3uTk5ER+fn5K6UjLi08boKptVt++fUsbN26kdu3a5WlbpHmS1wYqyooVK2Tb0I8dO5bWrFlDCxYskG1DKt3qmTFGDg4OgrUvpY3mzZtTuXLlKC0tTXbsw4cPsm2l//3333w2z58/Jx0dHerUqZNK8uDi4iL3udHV1aX9+/erREPKp0+fKDg4mPr27SvzwRhjZGZmRhMnTqTY2FgiomL/FMjNmzdp6dKl5ObmRj169KDu3buTm5sbLVmyhG7cuKFSrfDwcKpTp06ed79BgwZ0+vRpIiJKT0+n8ePHk5aWlix9wIABdO3aNYW1hCpfxhiVKVOGatSoodCvTJkyvPMhZN178eJFmjhxIpmamsryoKWlRX379qXdu3fTp0+ffpjP2agadfbdvkad/dS4uDgaO3Ys+fj4yE1fsWJFnjqB4zjS19dX2mdRZ30vRYh3tTB/u7A0ZZ6jFi1akLa2Nl29ejVf2owZM4jjON6fBJKHkGMPfElJSaEtW7aoVVMVYwAvXrygUaNGkYWFBeno6JCFhQWNGTMmz2dkdu/eTfXq1ZOVceXKlWn16tUK6Qjx3Bbl+t8T1apVo+rVq/P+8UWZbdqL+7McQiCu6BYRERERERFRCdLVHeHh4cjOzgYRyVagurm5wcrKCgBw6NChUq0JfF792aZNG9SqVStf2s8//4wGDRqgX79+8PLywtu3b7Fs2TKl9GrVqoU2bdoodQ0+SCQS7Nq1C0OGDEFISAi6du2KkydP5lm1mZ6ejl69eiEqKgqVK1fG8ePHUa9ePbXnVVlq1qyJwYMHY9GiRfnSJk+ejJYtW8pdsTh27Ng8W+mqmipVqmDWrFmYNWsWLl++DF9fX+zcuROPHz8uFj11oI7Vv1u2bEFmZiYWL15c4Cz1LylTpgyWLFmCfv36YevWrfj9998V1ly2bBmICLNnz4aXlxc0NTXx5MkTDB06FLNnz0ZmZiYuXbqUZ2uynj17on79+ti1axcmTJigsKaQ3LhxAw4ODsjMzJQdS05OxqRJk2Bqaopp06ZBU1MT48ePR40aNfDo0SNs2rQJBw4cgI+PD4YPH66QHt+VJcDnmfJ8/qZfEhkZiYkTJ+L69esAAGNjY8yZMwcTJkxAVFQUunfvjk+fPslW+gQFBWHPnj3Yt28fL7327dvzXhmgDFlZWTh8+DD8/Pxw5MgRZGZmyrZtHDp0KNzc3DB16lScPXtWbhuoKLt27YJEIkFkZCRatGghOz5z5kyMHTsWGzduBGMMixcvxtSpU5XW+1G4d+8e2rVrBwMDA9kxXV1dtGrVCqGhobC3t89nU7lyZVhbW/NaLfQ1W7duRWBgIDQ0NODu7i5bgXbo0CGcO3cOw4YNw5MnT1S264KpqSlSU1NBRNDT08OgQYPg5uaGbt26qXWb0YYNG35zBxFVcO3aNfTs2RNZWVkAgAoVKuD9+/e4c+cOevTogbNnz8LFxQW3bt0CEcl2QbC0tOSlJ2T5pqenIz09XWE7vvWnUHVvgwYN8uyW0bp1a7i5uWHo0KHFvsIXUP/OLOpG3X03QJh+anBwMDZu3Ii+ffvmSwsPD8fkyZMBAFWrVkXLli3x8OFDxMXFYcSIEbCyskLjxo0V1lR3fS9FqHdV3dy9exd2dnZyd7H55ZdfsHjxYty5c0elmkKNPShCdnY2QkND4efnh0OHDuHTp0/46aefFL6OUGMAr169QqtWrfDff//J+g7Pnj3Dpk2bEBERgYsXL2L8+PHw9/cHEcHMzAwzZ87EmDFjoK2tzUtTpPiIj48XTJsK2GWiuOxKMmKgW0REREREREQlODs7gzEGAwMDDBgwAK6urujSpUuxdkCF0AQ+b4dU2DbeHTp0QGRkJBwcHLBy5UqkpqZi06ZNvPXatm0r2Hd1NDQ0EBQUhEGDBuHAgQPo2rUrTpw4gXLlyuHt27dwcHBAbGwsatasiRMnTqBatWpKa/r6+vKyS05O5q0ZHx9foP3KlSvh4eFR4Na86uokSLdRW7ZsGY4dO6YWTVWizkBheHg4TExM0K9fvyLb9OnTB6ampggNDeUVFD1//jzq1auH+fPny45Vq1YNK1asQJs2bdCxY8d839+qXr067OzsEBcXp7De16h7m8GFCxciMzMT7u7u8Pb2hqmpKWJjYzF69Gj8+uuvePXqFWJjY/MEVlxcXNCiRQv4+voqHOj29vYGY0yh9016vrKBbnUH9QEgIiKCd375MnbsWAQFBcm+Faqrq4vBgwfDzc0N3bt3h4aG6ocPbt++jdatW+cJckuZNm0aNm7ciHr16olBbgXJzs6WGxyT+i6VK1eWa1e1alVcvHhRaX0fHx9wHIfQ0FB06dJFdnzWrFmyb5Xu3bsXnp6eSmsBQEpKiuwTH5s2bYKjo6NKrvstsrOz8ebNG2hra8sN4rx+/RqzZ8/G4cOHZdsEDxw4EH/88UeRJmEVxJIlS5CVlQVnZ2esWLFCtv3oqVOn4OnpiU6dOuHNmzeoXbs2fHx8YGdnx1sLEK58hZjUJ0TdC3wOZjHGUKlSJfj6+qJz585q0VX3JC5lnh3GGA4fPszLVt19N0CYfurp06dRvnx5uZOZFixYAOBzgDg0NBS6uroAgPnz5+OPP/7AmjVrsGHDBoU11V3fSxHqXVU3aWlpBX7uQtqv4DMZqDCEHHv4FufPn4e/vz927dqFN2/egIggkUh415lCjQEsXLgQz58/R4MGDeDl5YVGjRohLS0NoaGhWLJkCTp16oTLly9DR0cHf/zxB3799Vfo6Ojw1jt69GiBZVRQmqomUAi1Ff6PQEn5ZGVJQQx0i4iIiIiIiKgM+uI7YxzHqWWWtRCa1apVw4MHDwo9p2nTpoiOjoa9vT22bduG9PR0SCSSYs9bcaChoYHdu3dj4MCBOHjwIOzt7eHr6wsnJyfcuHEDDRs2RHh4eJG+mVsUPDw8eP0dpQGt7x2JRIIePXoInQ2FUHeg8M6dO7xWItjY2ODs2bMK2wGfZ+a3b98+33FpoLdKlSpy7apUqYLTp0/z0vySq1ev4urVqwrZSN8ZPoMIUVFRsLCwwLZt22R1W/v27bF69Wo4ODigdevW+VYPNmvWDLa2trh27ZrCel5eXgrbqAp1B/WFQrp6ulKlSpg/fz4GDhyoVDCuKBQ2gCv9rqd01ZtI0TE2NkZiYmK+40RU6MBsVlaWSv7m169fh62tbZ6gh5TZs2fDx8dHFlhTBQ4ODjh+/DhevHiB3r17w8LCAi4uLnB1dS3WFdbbt2/HmDFj4OXlla8eTUlJgZ2dHR4+fCgr8/j4eCxfvhxRUVE4c+YM78kjp0+fRtWqVbF9+3ZoamrKjnfq1Alr1qxBnz59oKuri4iICJibm/O/wf9DqPJVxeTJ0kL9+vVx584dvHjxAvb29mjbti3c3NwwePBgGBkZFYumEJO4jh49qrDNl5PW+CJU303d/dT4+HjY2Njk22khNTUVp0+fBmMMCxYskAW5gc87qKxfvx5RUVG8NNVd3/+IfOu5+R5XZn7Jw4cP4e/vj4CAADx8+BDA/9/5wsnJCUOGDFHJd+bVSWhoKAwNDXHy5EmYmprKjtva2sLExAQTJkwAYwxHjx6V279UlMTERLl+4bfSVFFnqbuPKgRCTXwUyYsY6BYRERERERFRCTt37oSfnx/CwsKwfft2+Pj4wNzcXDYQJm+7rdKoCXwOXAUHByMhIaHQ4G6tWrUQHR0NBwcHBAUFldpAN/D/g90DBgzA4cOH0bRpU+Tm5qJ58+YICwtDhQoVVKY1bNiwHyJgzXflupRhw4apKCfFj7oDhe/fv+e1RaKhoSHvVRE5OTnQ19fPd1xPTw8ACgxoaGhoqGSASt3bDL58+RK9evXKV6+1atUKQMEBimrVquHChQsK6wkZ6FZ3UF8oOI5Dbm4uEhIS8Oeff+Lx48dwc3NDnTp1ik1TuhJHHtJ2QJkVLD8qNWvWlLsSZ+XKlfjrr78KtLtz545KJq2lpqYWuLW99HhqaqrSOlJCQ0ORlJSEgIAA+Pn5IS4uDgsWLMDChQthaWmJYcOGFbgiSxkiIiLAGMOoUaPypf3999948OAB9PX1sXDhQnTs2BEPHjzAlClTEBsbi61bt2LMmDG8dBMTE9GzZ888QW4p0gHxjh07qiTIDQhXvj8St27dwqVLl+Dr64tdu3bh9OnTiI6OxoQJE+Do6Ah3d3f07NlTpZpCTOI6deqUQucfOnQI69atw8ePHxXW+hIh+m5C9FOTk5NhbGyc7/i5c+eQk5MDY2PjfDs8aGhowMrKCpGRkbw01V3f/4ikp6fj6dOnvNK/3k2qtPDmzRvZ9v/SfgMRoX79+njz5g2Sk5MRHR0tcC758+TJE7Rr1y5PkFvKoEGDMGHCBNjZ2akkyK1ovatqSsNW+MryrYmPrVu3xoMHD1Q+8VHkK4rzA+AiIiIiIiIiPx7Jycn0zz//kI2NDTHGiDFGHMeRpaUlLV68mJo2bUocx5VqzYCAAGKM0W+//Vak89++fUu2trayfCkCY4w8PT35ZLNYyMzMpF69ehFjjNq1a0epqalCZ0klFFbOhaV5eHjwfrakz4OiPz7PkdBUrVqVqlWrRtnZ2XmOHzt2jBhj1KZNG7l2bdq0IWNjY4X1TE1NqWvXrgrbde3alUxNTRW2IxLmGSrK9YsLIe73xIkT5OPjQzdv3vzmuTdv3iQfHx86efIkL60v0dLSogEDBuQ7npKSQowxcnFxkWvn4uJCGhoaSuunpKTQ69ev8x2Pj4+nqVOnUu/evcnJyYn8/PyU0klISKAlS5aQpaVlnra0ZcuWtGrVKkpKSiIiorZt26qsDvrWs1vS2sDSwuTJk4kxRrdu3SqyzbVr14gxRiNHjlRaX+i/661bt2jGjBlkYWEhe441NDRIV1eXOI6jlJQUleg0bNiQrKys5KaZmpoSx3G0dOnSPMfv3btHEomEunTpwlu3KOXr4eHB+/rfQl3lKzTqqnu/Jjs7mw4fPkxDhw4lPT09WRmXL1+ejIyMVFb/qts3U4TQ0FBq1aqVzO9t1aoVhYaG8r6eOvtuX6POfqq+vj5169Yt33EvLy9ijJGjo6NcOxcXF9LR0eGlKXR9T6S+d5UxRnXq1CFPT898v8LSateurfb+IsdxJJFIeOkJ5Xd9+vSJgoODqW/fvqStrS17/83MzGjixIkUGxtLROrzQ4uz/1aU98bd3Z339UsKP4of7+rqShKJhF68eJEvbfr06cQYIwMDA1qzZg3duHGDQkJCqFatWsRxHG3YsEGAHH+fiNMFRERERERERFSKsbExJkyYgAkTJuDu3bvw9fXFjh07cO3atTzblm3cuBEDBw6UO+u8pGv27NkTc+bMgYGBQZHONzIywsmTJzF79my8e/dOKW11UtgqBsYYzpw5U+B2iowxZGdnF1POvi+aN28OGxsbobNRrKh79W/Dhg1x/vx5fPz4Mc/2jIXx4cMHnDt3Di1btlRYT0phKyoKSlP1d/W+V549e4aePXuiatWquHTp0jfPr1q1Kvr374/nz5/j/v37Sq1szMrKkrtDQNmyZQEA2tracu20tLSU+naaur+damZmhqlTp2Lq1Km4ceMGfHx8EBgYiIsXLyI2NhZTpkyBvb09nj17xvue5OHj4wMfHx+5aYyxAtPFdqZgJk6ciM6dO6N8+fJFtomOjkaHDh0wYMCAYsyZemjQoAEWLlyIBQsWICIiQvaN2LS0NACAqakpevToAWdnZ/Tq1avI7cTXvHz5El27ds13/NatW0hKSoJEIoGHh0eetDp16qBly5bFvpVvce6Mo67yrVmzJu88MsZkW9wqirrr3q+RSCRwdHSEo6Mj0tLSEBwcDD8/P0RFRcm2czU3N4eTkxOcnJx4+y3q9s2KwrFjx+Dl5YWYmBgQEWxsbODt7a30d+GF7Lups59ap04dXLhwAWlpaXm2wz1y5AgYY2jbtq1cu8TERJV9gkqdCPGuPnjwoMBt8AtL41snW1hY/BA7nQGf247U1FQQEfT09DBo0CC4ubmhW7du+bbj/xEQV/mWHq5cuYImTZrIrUd9fHzAGIO3tzfGjRsHAGjUqBEaNmyIBg0aIDg4mPcOPyJfIWSUXUREREREROTHITIykn766ScyMjKSzUzW1NQkR0dH8vX1/W40vyekqw74/pTh1q1bFBkZSU+ePPnmufHx8RQZGUm3b9/mrSfEbO4GDRrInsv69evT/Pnz6fHjx7yuVdJRd/kuX76cGGM0e/bsItvMmjWLOI6j5cuXK6xHpNyKC3FF97f5448/iOM42rdvX5Ft9u/fT4wxmjdvnsJ6XyJE/XD9+nXS1tbOV69yHEc7d+6kqlWrUtmyZWnatGm0bt06mjp1KpUtW5Y4jqPt27fz0pRHbm4uhYeHk7u7O5UpUyZPPpycnCgkJIQyMzN5X1/Idkak+FD3CrSi8PHjRwoMDCRHR0fS1NSU5bFMmTK8r6mlpUWDBg3Kd3zLli3EGCtwtffQoUNJS0uLty5jjJo1a0Zz586V+yssXdn6sCCKo3yl1+BTN5T2ulcez549o7///psaNWqU5x2rVasWr+sJuRPN14SHh1Pr1q1lf29ra2s6ePCgSjVKGsXRT/3tt9+IMUZ9+/alx48fU1paGi1ZsoQYYySRSOjevXv5bLKyssjQ0JA6duzIS1Oo+l6Id3X79u1K/UQKR/r3q1y5Mh0+fLjA876XFd09evSgyMhIub9vpZcWfpQV3RUqVKChQ4fmO37z5k1ijJGGhga9evUqX7qdnR1VrFhRHVn8IRAD3SIiIiIiIiJqJSMjg4KCgqhXr16kpaWlki3hSqKmPIYNG0bNmzdXu25pIzk5mQwNDalSpUpyt3/6mhcvXlClSpWoQoUK9PbtW16ahXUmC0vr3r27Us/S5cuXadKkSWRubi57Ltu2bUsbNmygN2/e8L5uSUPdgwjv37+nSpUqEcdx9Oeff1JOTk6B5+bk5NC8efOIMUaVKlWi9+/fK6xHRFStWjWqXr06758yCBXoVmdg387Ojte28mZmZmRnZ6ew3ZcIMQjm6upKjDEaNmwYPXr0iN6/f0+RkZFUr149MjMzIw0NDYqLi8tjc/nyZZJIJNS5c2demt/i/fv35OfnRw4ODqShoSF7BoyMjGjEiBHFoilSOinpExiSkpJo5cqV1Lx5c6X0zMzMqGnTpvmODx8+nDiOozFjxsi1GzBggFJbP/MN/KrL/1VV+Urza2NjQytXrqTHjx9TYmJikX98KIl1rzwuXbpEEydOlG2Rz4eSEOg+ceKELGglnaCxf/9+lVxbFaij76bKfuq7d+/IwsIin8/FGKPhw4fLtdm3bx8xxsjb25uXplD1fWl5V0WKTvfu3fP4l9WrV6fZs2fn+2SRqgPdQowBfKsfVVi6ohNEOnXqxPun7LvyowS6hZr4KJIXRvR/+3eIiIiIiIiIiKiZ169fY8eOHfD39y+2LfBKgqYUOzs7xMTEICcnR626pY0lS5ZgxowZ2LZtW74tPwvC19cXHh4eWLZsGSZNmqSwJsdxBW4LR/+3TWRhacr+TXNzc3H8+HEEBAQgJCQEaWlp0NLSQo8ePeDm5obevXtDS0tLKQ0h4TgOHh4e2LZtm0Jpnp6e8PX15VW+58+fR5cuXZCRkYEqVapg8ODBaN68OUxMTAAAycnJuHz5MoKDg/H8+XNoa2vjxIkTsLOzU/wGBaawMixOTb7weWfKly+PNm3a4ODBgwrZ9e7dG2fPnsXr168VsvuSwuqHosDn+bWwsADHcXj48GGebWXDw8Ph4OCA1q1bIzo6Op9d27ZtcffuXSQnJ/POb1FITExEQEAA/P39cfXqVZXUgyIiynDy5Ek8f/4cNjY2aNiwYaHn3rp1C7GxsahatSoqVaqE+vXr89Ls168fDh48iCNHjsDBwQEA8OrVK9SuXRtpaWkICgrCwIED89k1bNgQmpqauHr1Ki/duXPn8rKT4uXlpbCNEOUbFBSEgIAAHD16FNnZ2TAwMMDAgQPh6uqKzp07F8t2viW97v2anJwcHDt2DD169FDYVgjfTEpERAS8vLwQHR0NIoKlpSW8vLzQr18/3tcsDtTdd1NFP/Xp06cYN24cwsLCkJ2dDR0dHbi7u2PlypVyPyNga2uLmJgYnDt3TrZtfWlAiHc1ISGB9xbvc+bMwV9//cXLVlHevXuHoKAg+Pn54fTp02rRVBVJSUkICAiAn58f4uLiAHzuN1haWmLYsGFwcnLC4MGDcfbsWZW8l0KNAXTs2FGpNuzUqVNFPld6j3xCgMr690L0UYWgUqVKqFixYj6/zsPDA35+fhg1ahQ2bNiQz27gwIGIiopSu+/wvSIGukVERERERERE1IQY6C4aHTt2xNWrV5GcnFzkb1Pl5OTAxMQElpaWCnX8vtRUV2fzW2RkZGDfvn3w9/dHeHg4cnJyULZsWbi7u2PVqlUq01EnQgQKAeDatWtwc3PDjRs35OpLu0KNGjWCv78/LC0teedRpHjR1tbG4MGD4e/vr5Cdm5sbgoOD8enTJ97a6g7qA5/vt1evXtizZ0+e46mpqTAyMoKzszMCAgLy2bm6uiIoKAhZWVm883zkyBGEhITg2bNn0NbWRtOmTeHp6YkaNWrIPf/GjRvw8/PDokWLeGuKqA8iwq5duxAWFoaEhAQYGBjAxsYGw4cPL5XfaAWAZ8+eoW7duqhatSouXbqU59u08khLS4ONjQ3+++8/3Lt3D+bm5rx0pQEVbW1tDBkyBCYm/6+9O4+Lutr/B/76DKuagKxqqYRWLqW45t5V84KJuGLADIgttlimqZTerwu23DC3rlg3SxQYFknQSEX0UkCWeENRo4xKg3bEbVBwAeb8/vDHXElQZv0w8Ho+HjwePj6fOXPejMyZOZ/zOe+3B9LS0lBaWoq7774bp0+fhp2dXb02JSUl6N69O5RKJeLj4w3q19Lken3rnD9/HikpKVCr1cjPz4ckSejYsSNCQ0OhVCrh6+tr1PPfTM6x9+TJkygvL4e3tze6du1628eWlpaitLQUnp6eBt9IIMd3s7y8PKxYsUJXb/yhhx7CihUrMG3aNIPjMCdrnrtdvXoVFy5cgLu7+y3j0M00Gg0AwNnZ2VKhmYQc79WePXsiNzcXXl5eerV78cUX8e6775r176i6uhq7d++GWq3G3r17cf36dQCGz6Gag5MnTyIuLg7Jycn45ZdfIEkSFAoF7OzscO3aNVy4cAFOTk5G9dGcrgGYS91YP2DAAKhUKgwdOlSv9tZ0A4xc5Lrxkf5Cln3kRERERK3Q0KFDZUmZbqgxY8aI6OjoBs9pNBpx5coVs/Tr7u4u/P399W7n7+8vPDw8zBCRfH7//XcxYcIEIUmSVf9uxqQ0NMV7Zt++feLFF18UI0eOFL169RI9e/YUI0eOFC+88ILIzMw0wW9I5ubl5SUeffRRvds9+uijBqU8l5tcKWVDQ0PrpU2sew+2adOmWaWTpdsLCQkR//73v285XlZWJgYPHnxL3WOFQiHatWsndu3aZfJYfvvtN5Gfny8KCwvN9r1h+fLlQqFQiJ07dza5zccffywkSTK6ZvXy5ctvSQ/epk0bceDAgQYfHxkZKSRJEmq12qh+LUnO1/evfvrpJ7Fq1SrRs2dP3Wvep08f8dZbb4mff/7Z6OeXa+yVq2yPpb+b3TzeLFq0SOTn54vDhw83+cfSrG3uJjdLjPd15HivSpIkevfuLcrKypr0eK1WKyIiIoQkSaJ9+/YG9XknBw8eFM8884xwdXXVfQbZ29uLiRMnWtXnzO1otVrx6aefioiICOHk5KQbhxwdHcXUqVNFamqqqKqqkjvMZis6Olr07dtXN/7ed999IioqSvzwww9yh9Zi7N+/X/c3GR4eLhYuXCi8vb2FJEninnvuEdevX7+lzU8//SQUCoUICwuTIeKWqWlbZIiIiIjuwMfHx+C2kiTh1KlTVtFna5KTkwNvb+8Gz3Xo0AERERHYsmWLyfvVaDRwc3PTu52bm5tuV4K1O3z4MNRqNVJTU1FeXg5JkqwypXYdrVYra/9+fn66u6vN5eeffzaq/Z12b93OzSkb9SVJEmpqagxubym9e/dGfn4+rly50mDqzYZUVVXh0KFDGDJkiJmjaxm2bNmC5ORk2NraIiwsDP3798elS5ewe/duHDp0COHh4SgtLbW6XV+tUUpKChwdHfHMM8/UO/7444+joKAA999/P+bNm4f77rsPFy5cwI4dO7Bjxw6Ehobi2LFjuO+++4yO4ciRI3juuedw5MgR3TE7OztERERg/fr1TX4fN8WBAwfg4eGhV9rjwMBAeHl5ITMzE8uWLTO476ioKAQGBmLnzp0oLy/HPffcA6VS2eh3VHt7e7z00ksGpZqWi5yv7195e3tj2bJlWLZsGb766iskJiZi+/btWLp0KdavX48///zTZH1Z0tatW1FRUYENGzY0KbNCp06d8NZbbyEiIgJbt241qGyPnN/NqqqqsG7dOqxbt67Jbazl+0odOeep+mZmMZYlx3s5TZs2Denp6Rg7diw+++wzXTmkhtTU1CAkJARpaWlwcXHB3r17TRbH999/D7VaDbVajdLSUl2GKkmSsHnzZkyfPh0dOnQwWX9ykyQJY8aMwZgxY/Dee+9h165dSEhIwIEDB7Br1y58/PHHaNeuHSoqKuQOtVmKjIxEZGQkioqKEB8fj5SUFKxcuRJRUVEYMmQIVCoVHn/8cbi7u5u879YwRwWA8ePHY9myZXjttdeQkJCgSxXv6OiIrVu3NphV47333oMQwuzXKFoTLnQTERGRSZSUlBhV+8da+qQbhBAGve5N4eLigvPnz+vd7vz580anL5PTDz/8gMTERCQmJuL06dO6lI4LFy6EUqnE3XffLXeIdBve3t4GjyvGTuSNeS+a631sapMmTUJOTg5ef/31Jtc4fP3113HlyhVMmjTJzNG1DHFxcVAoFMjMzMS4ceN0x5csWaKryZqeno7Zs2fLGCUZKi8vD7m5uejVqxf++9//ol27drpzM2fORFRUFKKiorBhwwZs2rTJqL5OnTqFMWPG4PLlywAAV1dXVFZW4tq1a/jggw/w66+/Yvfu3Ub1cbPvvvsOI0aM0LvdoEGD8OWXXxrd/8CBAzFw4MAmPfa1114zur/Vq1cb1T4yMlKvx8v9+jamW7du8PHxQefOnVFWVib7TXXG2LNnD5ydnaFSqZrcRqlUYv78+cjIyDBooVsOo0ePbjVzMLnmqUqlEikpKQD+9x3vk08+wZo1a5CSkoLAwECDn7shlh7v5bR9+3bMnDkTO3fuxLhx4/Dpp582uDh49epVTJs2Dfv27YOHhwf2799vdHmks2fPIjk5GWq1GgUFBQBu/P/26dMHKpUKSUlJKCoqwlNPPWVUP82do6MjgoODERwcjPLy8lvqeVujiooK1NTUwNXVtd7x0tJSxMTEoLi4GO3atcPEiRP1+oz4qwcffBCrV69GdHQ0cnJyoFarkZ6ejhdffBEvv/wyxo8fD5VKhSlTpsDR0dHYXwtA65ij1mkNNz42ezLsIiciIqIWqC4V0qBBg8SGDRvETz/9JP78888m/1hLn8awtvR3hqaEM9awYcOEq6urqKmpaXKb6upq0aFDBzFs2DCj+9doNOLcuXO3HC8pKRGLFi0SkyZNEsHBwSIhIcHovsrKysQ777wjhgwZoks3d88994jFixeL48ePG/38ZDl145GPj4/o2bOn3j90e5WVlaJTp05CoVCI1157TdTW1jb62NraWrFq1SohSZLo1KmTqKystGCkplH392TojyFcXFzEiBEjGjz3/fffC0mSxIIFC4z5tchCGvqMXrFihVAoFGL37t0NtqmurhZ33323uP/++43u/+mnnxaSJImAgABdOmmtViv27dsnOnfuLBQKhfjiiy+M7qeOvb29UCqVerdTKpXC3t7eZHFYij7jw82ppg0dH5rT61tZWSkSEhKEv7+/sLOzEwqFQnTo0EE8/fTT4vPPPzf6+eUYe4Vg2Z7mypi5mxzz1A8//FBIkiTs7OzEE088ITZu3CjefPNNMXz4cCFJknB2dhYXL1406LkbY+nxvo5c79Xq6moxdepUIUmS6Nev3y1zxkuXLolHHnlEN6f77rvvjPo9U1JSxMSJE4W9vb1uTL/77rvFwoULRWFhoe5xI0eOtKrrDKb0559/ipkzZxr9PJa8BiCEEDk5OaJfv366v0lPT0/xzjvvCCGEyM3NFW3atLnlc3zKlCkm6bvO1atXRWpqqggMDBQODg5CoVCIbt26mbQPIkvhjm4iIiIyiZSUFCQmJmLfvn14+eWXsXz5ckyfPh1KpRJjx441y937cvQJAPHx8Qa1Ky8vN3EkLdOECRNw+PBhxMTE4KWXXmpSm5iYGGg0GqPuiM3NzcVLL72Er7/+GgDg7u6Of/zjH5g3bx7y8vLg7++Pa9eu6e4uTk1NRVpaGnbu3GlQfxMmTEB2djZqa2vRvn17REREQKlUYsyYMa1mt0tLolAooNVqodFoEBQUBJVKZdAOOGpY27ZtkZ6ejnHjxmHFihX44IMPEBQUhAEDBuhSR5aXl+Po0aP46KOP8Ouvv8LR0RFpaWlo27atzNEbRhi4k8HQ8aOiogLdu3dv8FzdcaaFtF51KZ0bS+Vva2sLX19ffPbZZ0b3lZ2djU6dOmH79u26958kSfDz80NMTAymT5+O7OxsDB8+3Oi+gBvlVMrKyvRuV1ZWZpXpXZcvX67X+7ysrAxxcXG4cuWKQeOD3K+vVqtFVlYW1Go1MjIyUFVVBTs7OwQEBEClUiEgIAD29vZG91PH0mMvwLI95ibH3E2OeaocmVksPd7fTI73qq2tLVJTUzFjxgxkZGTg0UcfRXZ2Njp06IALFy7Az88PBQUF8PHxQXZ2Nrp162ZwXwAQEhICSZJw1113Ydq0aVAqlRg3bhznigB++eUXrF69GrGxsbh69arBz2PpawAAUFRUBD8/P1y/fl13rLy8HAsWLICXlxcWL14MOzs7vPDCC7j33ntx+vRpbN68GRkZGYiLi8OsWbMM7vtmDg4OmDp1Kuzt7VFZWYlPP/0UVVVVJnluIouTdZmdiIiIWpxz586JTZs2iWHDhunuPO3cubNYtGhRvbuOrblPQ+8gr2tnLeTa0X3u3Dnh7Ows7O3tm3THdHx8vLCzsxPOzs4N3oXdFF9//bVwcHDQ3TF9853TKSkpokuXLsLJyUksXrxYvPvuu2LRokXCyclJKBQKsW3bNoP6rHv+gQMHiqioKBEdHa3XDzUvf/zxh1i7dq0YMGBAvd3d//d//2f0bg76n+PHj4uHHnqo0XG47r374IMPimPHjskdrlW507huznGfTKuh/6vFixcLhUIhLl261Gi76dOni3bt2hndv4ODg5g6dWqD5y5evCgkSRLPPvus0f3UGTNmjLjrrrtEVVVVk9tUVlaKdu3aiTFjxpgsjubm7NmzYvHixeKuu+4SkiSJu+66S7zyyit6P49cr29+fr548cUXhaenp27MHzVqlHj//ffFhQsXDH7e5sjDw0NMmDBB73YTJkwQ7u7uZoioZZFz7mbJeaocmVksPd43F9XV1SIwMFBIkiQGDhwovvnmG9330z59+ojff//dJP3Ufa91cnISs2fPFtnZ2Q0+rqXs6K6trRWJiYkiPDxc+Pv7i/DwcJGcnFwvk9PPP/8snnzySd0ud4VCIaZPn25Qf3JcAxDiRsYTSZJEeHi4OH36tKisrBS5ubnigQceEB07dhS2tra3zGOOHj0qbGxsxNixYw3u92aff/65ePbZZ4Wbm5tQKBTCxsZGjB8/XiQlJZnk+YksTRLCyhLeExERkdUoKSlBQkICkpKSUFxcDEmS0KtXL4SFhSE0NBRdunSxyj4jIiKMuot669atRsdgCQqFAhEREYiNjdXrnClkZGRg2rRpEEJg6NChCAkJaXDnZnJyMvLz8yFJEtLS0jB58mSD+qurbRYWFoaVK1fCy8sLBQUFmDNnDjQaDc6ePYuCgoJ69dUKCwsxePBgPPLII8jOzta7T4VCofv3zX9PQojb/n3Vna+trdW7T7KM7777DvHx8UhOTkZpaSkkSUL//v0RFhaG4OBgeHl5yR2i1cvKysKePXtQWFiIc+fOQQgBd3d3+Pr6YuLEifD395c7RKtzp3Hd3OM+mY5CoYCvry+mTJmiO1ZQUKB7z/Tt27fBdoMHD0Z5eTlKSkqM7t+Sf0vr16/HwoULsWTJErzxxhtNarN06VJER0djzZo1VlPfuKnOnz+Pt99+G5s2bUJlZSXatGmD559/HpGRkQ3Wk70TuV5fhUIBSZLQu3dvKJVKKJVKs8wdmoPhw4ejuLgYZ86cgY2NTZPa1NTUwNPTEz179jRrLXRzsVRdWqD5zN3MPU+1sbGBSqVCXFzcLee0Wi1sbW3xxBNP4MMPPzSqn5u15u8O1dXVmDZtGvbs2aPL7DRgwABkZWUZlKGhIampqUhISEBWVhZqamogSRI6d+6M0NBQKJVK3ef5qFGj8OWXX1r1/LCmpgaPPfYYsrOz6+3WlyQJkydPRnp6OmJjYzFv3jxcuXIFADB58mSsXLmy0e81dyLHNQAA6Nq1KxQKBU6dOlVvzD9w4AD8/PwwfPhwHDx48JZ2I0eORHFxscHZJk6ePAm1Wo2kpCT8/PPPEELA19cXKpUKoaGh6Nixo0HPS9QccKGbiIiILOKrr75CYmIitm/fjjNnzsDDw0OXRrMl9dmS1F1gNIQkSaipqTGq/6ysLISHh6O8vLzROIQQ8PDwwLZt24xKWy7HZDMqKsrgeAFgxYoVRrUny/j888+hVquxY8cOXLhwAba2thg7diwiIiIQHBwsd3hEOnKP+WQ6N99I9VdRUVFYtmzZLccrKyvh6emJUaNGYd++fUb3b8mFj6qqKvTo0QNlZWWIiorC0qVLG30NtFot3njjDaxYsQIdO3bEjz/+aLXlDf7qwoULWLNmDWJiYnDp0iW0adMGzz33HF555RXdjYKGkOv1rRuTHBwc9G4rSRIqKysN6lcOr732GlauXIl169Y1uWzPhg0bsHDhQqxcubLB93RzpW+aYEmSEBgYaFSa4ObIHPNUORadW/NCN1B/sXvkyJHYs2cP2rdvb/J+zp49i6SkJCQkJODIkSMAbrw3HnroISiVSqjVahQVFVn1QveGDRvw8ssvw9HREREREejTpw8uXbqEzMxMHDx4EE8++SS2bNkCIQT+/ve/Izo6ut4CtCHkWnB2cHBAQEAA0tLS6h2vqKiAi4sLQkJCkJiYeEs7pVKJ1NRUVFdXN7mvP/74A8nJyVCr1Th+/DiEEOjatStCQ0MRFhaGXr16GfQ7EDU3rNFNREREFtGtWzf4+Pigc+fOKCsrg1arbZF9tjSG3hNpinsp/fz8UFJSgri4OOzdu1e3cxO4UZOwbudmeHi40Repy8rKEBAQcMsumocffhgAGq2v1q1bNxw+fNigPrlQ3TqMGjUKo0aNQkxMDPbs2YOYmBjs378fhYWFXOimZkfOMZ9M53a7Dzt16tTg8djYWFy5cgXDhg0zSQzHjh3DqlWr9D4vSZLei3Zt27ZFeno6xo0bhxUrVuCDDz5AUFBQg5lgPvroI/z6669wdHREWlpai1jkvnjxItauXYuNGzfi0qVLcHBwwPz58/HKK6+YJIOInK+vEMKo2qvWYu7cuVi7di0iIyPh5uZ2xx3MCQkJiIyMRPv27TF37lwLRWm85lKXtjloSfNUS473crpdtgVJkvDFF1/AxcWl0fPG3BDo7u6OefPmYd68eSguLkZ8fDySkpJw4sQJ3U0jAPD+++9j+vTpBmXvkNv27dthY2OD3NxcDB48WHf81VdfxXPPPYf3338fkiRh9erVWLRokUn6lOMaAHDjBglnZ+dbjjs5OQFAozd42dvb6z1WdOnSBUIIdOjQAU8//TRUKhVGjhypf9BEzRx3dBMREZHZVFVVIT09HYmJicjOzkZtbS2cnZ0xY8YMhIeHm+ULtqX6PHnyJMrLy+Ht7Y2uXbve9rGlpaUoLS3VpRek5sfQNO2zZ89GfHy8Vd89T+Z3/fp1fPLJJ0hMTERmZiauXbuGLl26oLS0VO7QiIhM7nY7yhsjSZLRpTlOnDgBlUqFoqKiBrMT1F3+6tOnD9RqtdE7weSm0Wiwbt06vPPOO7oF7jlz5uDVV181S/rR1vb6Wpqly/bIQa40wUDzmLuZe54qR2YWucZ7ORjyu97MHDcz5OXlIT4+HmlpadBoNJAkCTY2Nhg/fjyCg4MRFhZm8j7NxcXFBf369UNubu4t506fPo0ePXqgZ8+e+Pbbb03Wp1zXACzZb9244O3trXeGFEmS8M033+jVhkgu3NFNREREJqXVapGVlQW1Wo2MjAxUVVXBzs4OAQEBUKlUCAgIgL29vVX3efbsWQwbNgxt27bVpQ67HXt7ewQHB+P69ev48ccfG73Tm1qnvXv3YteuXfjll1/g4OCAvn37Yvbs2bj33nvlDo2MlJOTA7VajbS0NFRUVMDGxgaPPvooVCoVpk6dKnd4RERmIVfGkr59++LEiRPIysrS1SM/d+4chBBwd3fXZYLx9/eXJT5TqaiowPr167FhwwZoNBo4ODhg7ty5WLJkSaM79k2htby+cgkMDMSePXsQHh6OQ4cOIT8/v8HHmapsjxzy8vLQtWtXxMbG6nZQjh49Ghs3btSlCf7rDRL9+/fH0KFDceLECYP7lXPuZul5qqUzs7SmDFXNcdf96NGjMXr0aGzatAkZGRmIj4/H/v37kZmZiX379lnVQvelS5fg7e3d4Lm6ebGvr6/lAmpBhBD46aef9G5n6I0zRHLgQjcRERGZxOHDh3V1xupqKo8YMQIqlQozZ840y+KuHH0CN1KCVlRUYMOGDU26oNipUye89dZbiIiIwNatW7FgwQKzxNUSVVRUoKamBq6urvWOl5aWIiYmBsXFxWjXrh0mTpx4xzSPzZFSqURKSgqA/11g+uSTT7BmzRqkpKQgMDBQzvDIACdOnEBiYiKSk5Px22+/QQiBQYMGQaVSISQkxKg6qURE+igqKkJGRka9G6mCgoLMUj/0ZnIvfPj5+cHPz0/WGMzJ29sbGo0G9vb2mDt3LpYuXWrWBe6/aumvr5wsWbZHDnKlCZZj7ibHPFWOhVi5x3u6wcHBAUFBQQgKCsK5c+eQlJQEtVotd1h6EUI0mh6+bsHV0dHRkiGZVVxcHOLi4m45LklSo+cMYcgCN5E1YupyIiIiMom6lEi9e/eGUqmEUqlEly5dWlyfAPC3v/0Nx48fR3l5OWxtm3bfYG1tLTw8PNCvXz989tlnZo7Q+uXm5uKll17S1Rxzd3fHP/7xD8ybNw95eXnw9/fHtWvXdIvDkiQhMDAQO3fuNKg/Y1L9ATAobdmWLVvw9NNPw9bWFmFhYejfvz8uXbqE3bt349ChQ3ByckJpaWmD9buo+YmOjkZiYiK++eYbCCHg4+OD0NBQqFQq3H///XKHR0StzNKlS7F69WoIIXQpYoEbn6cff/wxhg4dKnOEZKi67ywKhQJ2dnZ6tZUkCZWVlWaKjOj25EoTLMfcTa55KpG1ut0Y0JTzhvZp6WsAdf0aytpS/hNZChe6iYiIyCTqJgn61v0BDL/oJkefAODh4YFBgwYhMzNTr3YTJkzAkSNHcObMGYP6bS2KioowaNAgXL9+vd5xSZKQlJSExYsXQ6PR4JlnnsG9996L06dPY/Pmzbh8+TJiY2Mxa9YsvfuUY7I5evRofPnll8jKysK4cePqnau7oPfhhx9i9uzZBsdGllM3HvXv3x8qlQrDhw/Xq/2QIUPMFBkRtTbp6emYMWMGAGDMmDG6G6kOHDiAkpISdOrUCadOnTL7ziiW5jCP5lgnlqgp5FrolmPuJtc8VS4c78lY1lJj/uY+rWHB2cfHB0FBQYi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",
       "text/plain": [
        "<Figure size 1890x1050 with 1 Axes>"
       ]
@@ -237,33 +236,33 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>BAX</th>\n",
-       "      <th>BAD</th>\n",
-       "      <th>MAPK8</th>\n",
-       "      <th>MAPK1</th>\n",
-       "      <th>BCL2L11</th>\n",
-       "      <th>TP53</th>\n",
-       "      <th>FKBP8</th>\n",
-       "      <th>BCL2L1</th>\n",
-       "      <th>BECN1</th>\n",
-       "      <th>PMAIP1</th>\n",
+       "      <th>ERBB2</th>\n",
+       "      <th>CDH1</th>\n",
+       "      <th>BRCA1</th>\n",
+       "      <th>PIK3CA</th>\n",
+       "      <th>CTNNB1</th>\n",
+       "      <th>AKT1</th>\n",
+       "      <th>BRCA2</th>\n",
+       "      <th>PTEN</th>\n",
+       "      <th>OPCML</th>\n",
+       "      <th>BRIP1</th>\n",
        "      <th>...</th>\n",
-       "      <th>SLC12A9</th>\n",
-       "      <th>TCF7L1</th>\n",
        "      <th>ATG3</th>\n",
-       "      <th>BIRC8_HUMAN Baculoviral IAP repeat-containing protein 8 (sprot)</th>\n",
-       "      <th>GATA4</th>\n",
-       "      <th>ANXA1</th>\n",
-       "      <th>LBX1</th>\n",
-       "      <th>PPP1R3C</th>\n",
-       "      <th>NEUROD1</th>\n",
-       "      <th>MMP1</th>\n",
+       "      <th>HOXA10</th>\n",
+       "      <th>MSI2</th>\n",
+       "      <th>GDPD1</th>\n",
+       "      <th>THY1</th>\n",
+       "      <th>UCHL1</th>\n",
+       "      <th>WNT3A</th>\n",
+       "      <th>TMPRSS15</th>\n",
+       "      <th>APP</th>\n",
+       "      <th>NCBIGene:130062899</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>biolink:has_part</th>\n",
-       "      <td>1</td>\n",
+       "      <th>biolink:contributes_to</th>\n",
+       "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
@@ -286,13 +285,13 @@
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>biolink:coexists_with</th>\n",
-       "      <td>1</td>\n",
+       "      <th>biolink:regulates</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
-       "      <td>1</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
@@ -310,16 +309,16 @@
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>biolink:homologous_to</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <th>biolink:causes</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
+       "      <td>1</td>\n",
        "      <td>0</td>\n",
        "      <td>...</td>\n",
        "      <td>0</td>\n",
@@ -334,15 +333,15 @@
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>biolink:close_match</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <th>biolink:has_phenotype</th>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
+       "      <td>1</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
+       "      <td>1</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>...</td>\n",
@@ -358,7 +357,7 @@
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>biolink:affects</th>\n",
+       "      <th>biolink:genetically_associated_with</th>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
@@ -370,19 +369,19 @@
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>...</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>biolink:sensitivity_associated_with</th>\n",
+       "      <th>biolink:predisposes_to_condition</th>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
@@ -406,19 +405,10 @@
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>biolink:regulated_by</th>\n",
-       "      <td>1</td>\n",
+       "      <th>biolink:has_part</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
        "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>...</td>\n",
-       "      <td>1</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
@@ -426,21 +416,6 @@
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>biolink:interacts_with</th>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
        "      <td>...</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
@@ -454,7 +429,7 @@
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>biolink:genetically_interacts_with</th>\n",
+       "      <th>biolink:gene_associated_with_condition</th>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
@@ -466,53 +441,29 @@
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>biolink:correlated_with</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>biolink:affected_by</th>\n",
+       "      <th>biolink:related_to</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>0</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
        "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
        "      <td>...</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
@@ -523,10 +474,10 @@
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>biolink:resistance_associated_with</th>\n",
+       "      <th>biolink:target_for</th>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
@@ -550,33 +501,9 @@
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>biolink:part_of</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
+       "      <th>biolink:subclass_of</th>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>biolink:colocalizes_with</th>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
@@ -598,7 +525,7 @@
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>biolink:subclass_of</th>\n",
+       "      <th>biolink:in_clinical_trials_for</th>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
@@ -622,18 +549,7 @@
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>biolink:physically_interacts_with</th>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>...</td>\n",
+       "      <th>biolink:treats</th>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
@@ -644,45 +560,20 @@
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>biolink:regulates</th>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
        "      <td>...</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
        "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
        "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>biolink:related_to</th>\n",
-       "      <td>1</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
-       "      <td>...</td>\n",
        "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>biolink:biomarker_for</th>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
@@ -692,19 +583,7 @@
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>biolink:directly_physically_interacts_with</th>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
        "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
        "      <td>...</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
@@ -718,7 +597,7 @@
        "      <td>0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>biolink:produced_by</th>\n",
+       "      <th>biolink:treats_or_applied_or_studied_to_treat</th>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
@@ -743,168 +622,116 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>20 rows × 2650 columns</p>\n",
+       "<p>15 rows × 3224 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "                                            BAX  BAD  MAPK8  MAPK1  BCL2L11  \\\n",
-       "biolink:has_part                              1    0      0      0        0   \n",
-       "biolink:coexists_with                         1    0      0      0        0   \n",
-       "biolink:homologous_to                         0    0      0      0        0   \n",
-       "biolink:close_match                           0    0      0      0        0   \n",
-       "biolink:affects                               1    1      1      1        1   \n",
-       "biolink:sensitivity_associated_with           0    0      0      0        0   \n",
-       "biolink:regulated_by                          1    0      1      1        1   \n",
-       "biolink:interacts_with                        1    1      1      1        1   \n",
-       "biolink:genetically_interacts_with            1    1      1      1        1   \n",
-       "biolink:correlated_with                       0    0      0      0        0   \n",
-       "biolink:affected_by                           1    0      1      1        1   \n",
-       "biolink:resistance_associated_with            0    0      0      0        0   \n",
-       "biolink:part_of                               1    0      0      0        1   \n",
-       "biolink:colocalizes_with                      1    0      0      0        0   \n",
-       "biolink:subclass_of                           0    0      0      0        0   \n",
-       "biolink:physically_interacts_with             1    1      1      1        1   \n",
-       "biolink:regulates                             1    1      1      1        1   \n",
-       "biolink:related_to                            1    0      0      0        0   \n",
-       "biolink:directly_physically_interacts_with    1    1      1      0        1   \n",
-       "biolink:produced_by                           0    0      0      0        0   \n",
-       "\n",
-       "                                            TP53  FKBP8  BCL2L1  BECN1  \\\n",
-       "biolink:has_part                               0      0       0      0   \n",
-       "biolink:coexists_with                          1      0       0      0   \n",
-       "biolink:homologous_to                          0      0       0      0   \n",
-       "biolink:close_match                            0      0       0      0   \n",
-       "biolink:affects                                1      1       1      1   \n",
-       "biolink:sensitivity_associated_with            0      0       0      0   \n",
-       "biolink:regulated_by                           1      1       1      1   \n",
-       "biolink:interacts_with                         1      1       1      1   \n",
-       "biolink:genetically_interacts_with             1      1       1      1   \n",
-       "biolink:correlated_with                        0      0       0      0   \n",
-       "biolink:affected_by                            1      0       0      0   \n",
-       "biolink:resistance_associated_with             0      0       0      0   \n",
-       "biolink:part_of                                0      0       0      0   \n",
-       "biolink:colocalizes_with                       0      0       0      0   \n",
-       "biolink:subclass_of                            0      0       0      0   \n",
-       "biolink:physically_interacts_with              1      1       1      1   \n",
-       "biolink:regulates                              1      1       1      1   \n",
-       "biolink:related_to                             1      0       0      0   \n",
-       "biolink:directly_physically_interacts_with     1      1       1      1   \n",
-       "biolink:produced_by                            0      0       0      0   \n",
+       "                                               ERBB2  CDH1  BRCA1  PIK3CA  \\\n",
+       "biolink:contributes_to                             0     0      0       0   \n",
+       "biolink:regulates                                  0     0      0       0   \n",
+       "biolink:causes                                     1     1      1       1   \n",
+       "biolink:has_phenotype                              0     0      1       0   \n",
+       "biolink:genetically_associated_with                1     1      1       1   \n",
+       "biolink:predisposes_to_condition                   0     0      0       0   \n",
+       "biolink:has_part                                   0     0      0       0   \n",
+       "biolink:gene_associated_with_condition             1     1      1       1   \n",
+       "biolink:related_to                                 1     1      1       1   \n",
+       "biolink:target_for                                 0     0      0       0   \n",
+       "biolink:subclass_of                                0     0      0       0   \n",
+       "biolink:in_clinical_trials_for                     0     0      0       0   \n",
+       "biolink:treats                                     0     0      0       0   \n",
+       "biolink:biomarker_for                              0     0      0       0   \n",
+       "biolink:treats_or_applied_or_studied_to_treat      0     0      0       0   \n",
        "\n",
-       "                                            PMAIP1  ...  SLC12A9  TCF7L1  \\\n",
-       "biolink:has_part                                 0  ...        0       0   \n",
-       "biolink:coexists_with                            0  ...        0       0   \n",
-       "biolink:homologous_to                            0  ...        0       0   \n",
-       "biolink:close_match                              0  ...        0       0   \n",
-       "biolink:affects                                  1  ...        1       1   \n",
-       "biolink:sensitivity_associated_with              0  ...        0       0   \n",
-       "biolink:regulated_by                             1  ...        1       0   \n",
-       "biolink:interacts_with                           1  ...        0       0   \n",
-       "biolink:genetically_interacts_with               1  ...        0       0   \n",
-       "biolink:correlated_with                          0  ...        0       0   \n",
-       "biolink:affected_by                              0  ...        0       0   \n",
-       "biolink:resistance_associated_with               0  ...        0       0   \n",
-       "biolink:part_of                                  0  ...        0       0   \n",
-       "biolink:colocalizes_with                         0  ...        0       0   \n",
-       "biolink:subclass_of                              0  ...        0       0   \n",
-       "biolink:physically_interacts_with                1  ...        0       0   \n",
-       "biolink:regulates                                1  ...        1       1   \n",
-       "biolink:related_to                               0  ...        0       0   \n",
-       "biolink:directly_physically_interacts_with       1  ...        0       0   \n",
-       "biolink:produced_by                              0  ...        0       0   \n",
+       "                                               CTNNB1  AKT1  BRCA2  PTEN  \\\n",
+       "biolink:contributes_to                              0     0      0     0   \n",
+       "biolink:regulates                                   0     0      0     0   \n",
+       "biolink:causes                                      1     1      0     0   \n",
+       "biolink:has_phenotype                               0     0      0     1   \n",
+       "biolink:genetically_associated_with                 1     1      1     1   \n",
+       "biolink:predisposes_to_condition                    0     0      0     0   \n",
+       "biolink:has_part                                    0     0      0     0   \n",
+       "biolink:gene_associated_with_condition              1     1      1     1   \n",
+       "biolink:related_to                                  1     1      1     1   \n",
+       "biolink:target_for                                  0     0      0     0   \n",
+       "biolink:subclass_of                                 0     0      0     0   \n",
+       "biolink:in_clinical_trials_for                      0     0      0     0   \n",
+       "biolink:treats                                      0     0      0     0   \n",
+       "biolink:biomarker_for                               0     0      0     0   \n",
+       "biolink:treats_or_applied_or_studied_to_treat       0     0      0     0   \n",
        "\n",
-       "                                            ATG3  \\\n",
-       "biolink:has_part                               0   \n",
-       "biolink:coexists_with                          0   \n",
-       "biolink:homologous_to                          0   \n",
-       "biolink:close_match                            0   \n",
-       "biolink:affects                                1   \n",
-       "biolink:sensitivity_associated_with            0   \n",
-       "biolink:regulated_by                           0   \n",
-       "biolink:interacts_with                         0   \n",
-       "biolink:genetically_interacts_with             0   \n",
-       "biolink:correlated_with                        0   \n",
-       "biolink:affected_by                            0   \n",
-       "biolink:resistance_associated_with             0   \n",
-       "biolink:part_of                                0   \n",
-       "biolink:colocalizes_with                       0   \n",
-       "biolink:subclass_of                            0   \n",
-       "biolink:physically_interacts_with              0   \n",
-       "biolink:regulates                              0   \n",
-       "biolink:related_to                             0   \n",
-       "biolink:directly_physically_interacts_with     0   \n",
-       "biolink:produced_by                            0   \n",
+       "                                               OPCML  BRIP1  ...  ATG3  \\\n",
+       "biolink:contributes_to                             0      0  ...     0   \n",
+       "biolink:regulates                                  0      0  ...     0   \n",
+       "biolink:causes                                     1      0  ...     0   \n",
+       "biolink:has_phenotype                              0      0  ...     0   \n",
+       "biolink:genetically_associated_with                1      1  ...     0   \n",
+       "biolink:predisposes_to_condition                   0      0  ...     0   \n",
+       "biolink:has_part                                   0      0  ...     0   \n",
+       "biolink:gene_associated_with_condition             1      1  ...     1   \n",
+       "biolink:related_to                                 1      1  ...     0   \n",
+       "biolink:target_for                                 0      0  ...     0   \n",
+       "biolink:subclass_of                                0      0  ...     0   \n",
+       "biolink:in_clinical_trials_for                     0      0  ...     0   \n",
+       "biolink:treats                                     0      0  ...     0   \n",
+       "biolink:biomarker_for                              0      0  ...     0   \n",
+       "biolink:treats_or_applied_or_studied_to_treat      0      0  ...     0   \n",
        "\n",
-       "                                            BIRC8_HUMAN Baculoviral IAP repeat-containing protein 8 (sprot)  \\\n",
-       "biolink:has_part                                                                            0                 \n",
-       "biolink:coexists_with                                                                       0                 \n",
-       "biolink:homologous_to                                                                       0                 \n",
-       "biolink:close_match                                                                         0                 \n",
-       "biolink:affects                                                                             1                 \n",
-       "biolink:sensitivity_associated_with                                                         0                 \n",
-       "biolink:regulated_by                                                                        0                 \n",
-       "biolink:interacts_with                                                                      0                 \n",
-       "biolink:genetically_interacts_with                                                          0                 \n",
-       "biolink:correlated_with                                                                     0                 \n",
-       "biolink:affected_by                                                                         0                 \n",
-       "biolink:resistance_associated_with                                                          0                 \n",
-       "biolink:part_of                                                                             0                 \n",
-       "biolink:colocalizes_with                                                                    0                 \n",
-       "biolink:subclass_of                                                                         0                 \n",
-       "biolink:physically_interacts_with                                                           0                 \n",
-       "biolink:regulates                                                                           1                 \n",
-       "biolink:related_to                                                                          0                 \n",
-       "biolink:directly_physically_interacts_with                                                  0                 \n",
-       "biolink:produced_by                                                                         0                 \n",
+       "                                               HOXA10  MSI2  GDPD1  THY1  \\\n",
+       "biolink:contributes_to                              0     0      0     0   \n",
+       "biolink:regulates                                   0     0      0     0   \n",
+       "biolink:causes                                      0     0      0     0   \n",
+       "biolink:has_phenotype                               0     0      0     0   \n",
+       "biolink:genetically_associated_with                 0     0      0     0   \n",
+       "biolink:predisposes_to_condition                    0     0      0     0   \n",
+       "biolink:has_part                                    0     0      0     0   \n",
+       "biolink:gene_associated_with_condition              1     1      1     1   \n",
+       "biolink:related_to                                  0     0      0     0   \n",
+       "biolink:target_for                                  0     0      0     0   \n",
+       "biolink:subclass_of                                 0     0      0     0   \n",
+       "biolink:in_clinical_trials_for                      0     0      0     0   \n",
+       "biolink:treats                                      0     0      0     0   \n",
+       "biolink:biomarker_for                               0     0      0     0   \n",
+       "biolink:treats_or_applied_or_studied_to_treat       0     0      0     0   \n",
        "\n",
-       "                                            GATA4  ANXA1  LBX1  PPP1R3C  \\\n",
-       "biolink:has_part                                0      0     0        0   \n",
-       "biolink:coexists_with                           0      0     0        0   \n",
-       "biolink:homologous_to                           0      0     0        0   \n",
-       "biolink:close_match                             0      0     0        0   \n",
-       "biolink:affects                                 1      1     1        1   \n",
-       "biolink:sensitivity_associated_with             0      0     0        0   \n",
-       "biolink:regulated_by                            0      0     0        0   \n",
-       "biolink:interacts_with                          0      0     0        0   \n",
-       "biolink:genetically_interacts_with              0      0     0        0   \n",
-       "biolink:correlated_with                         0      0     0        0   \n",
-       "biolink:affected_by                             0      0     0        0   \n",
-       "biolink:resistance_associated_with              0      0     0        0   \n",
-       "biolink:part_of                                 0      0     0        0   \n",
-       "biolink:colocalizes_with                        0      0     0        0   \n",
-       "biolink:subclass_of                             0      0     0        0   \n",
-       "biolink:physically_interacts_with               0      0     0        0   \n",
-       "biolink:regulates                               1      1     1        1   \n",
-       "biolink:related_to                              0      0     0        0   \n",
-       "biolink:directly_physically_interacts_with      0      0     0        0   \n",
-       "biolink:produced_by                             0      0     0        0   \n",
+       "                                               UCHL1  WNT3A  TMPRSS15  APP  \\\n",
+       "biolink:contributes_to                             0      0         0    0   \n",
+       "biolink:regulates                                  0      0         0    0   \n",
+       "biolink:causes                                     0      0         0    0   \n",
+       "biolink:has_phenotype                              0      0         0    0   \n",
+       "biolink:genetically_associated_with                0      0         0    0   \n",
+       "biolink:predisposes_to_condition                   0      0         0    0   \n",
+       "biolink:has_part                                   0      0         0    0   \n",
+       "biolink:gene_associated_with_condition             1      1         1    1   \n",
+       "biolink:related_to                                 0      0         0    0   \n",
+       "biolink:target_for                                 0      0         0    0   \n",
+       "biolink:subclass_of                                0      0         0    0   \n",
+       "biolink:in_clinical_trials_for                     0      0         0    0   \n",
+       "biolink:treats                                     0      0         0    0   \n",
+       "biolink:biomarker_for                              0      0         0    0   \n",
+       "biolink:treats_or_applied_or_studied_to_treat      0      0         0    0   \n",
        "\n",
-       "                                            NEUROD1  MMP1  \n",
-       "biolink:has_part                                  0     0  \n",
-       "biolink:coexists_with                             0     0  \n",
-       "biolink:homologous_to                             0     0  \n",
-       "biolink:close_match                               0     0  \n",
-       "biolink:affects                                   1     0  \n",
-       "biolink:sensitivity_associated_with               0     0  \n",
-       "biolink:regulated_by                              1     1  \n",
-       "biolink:interacts_with                            0     0  \n",
-       "biolink:genetically_interacts_with                0     0  \n",
-       "biolink:correlated_with                           0     0  \n",
-       "biolink:affected_by                               0     0  \n",
-       "biolink:resistance_associated_with                0     0  \n",
-       "biolink:part_of                                   0     0  \n",
-       "biolink:colocalizes_with                          0     0  \n",
-       "biolink:subclass_of                               0     0  \n",
-       "biolink:physically_interacts_with                 0     0  \n",
-       "biolink:regulates                                 1     0  \n",
-       "biolink:related_to                                0     0  \n",
-       "biolink:directly_physically_interacts_with        0     0  \n",
-       "biolink:produced_by                               0     0  \n",
+       "                                               NCBIGene:130062899  \n",
+       "biolink:contributes_to                                          0  \n",
+       "biolink:regulates                                               0  \n",
+       "biolink:causes                                                  0  \n",
+       "biolink:has_phenotype                                           0  \n",
+       "biolink:genetically_associated_with                             0  \n",
+       "biolink:predisposes_to_condition                                0  \n",
+       "biolink:has_part                                                0  \n",
+       "biolink:gene_associated_with_condition                          0  \n",
+       "biolink:related_to                                              1  \n",
+       "biolink:target_for                                              0  \n",
+       "biolink:subclass_of                                             0  \n",
+       "biolink:in_clinical_trials_for                                  0  \n",
+       "biolink:treats                                                  0  \n",
+       "biolink:biomarker_for                                           0  \n",
+       "biolink:treats_or_applied_or_studied_to_treat                   0  \n",
        "\n",
-       "[20 rows x 2650 columns]"
+       "[15 rows x 3224 columns]"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -918,7 +745,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -951,44 +778,44 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>32</th>\n",
-       "      <td>NCBIGene:581</td>\n",
-       "      <td>BAX</td>\n",
+       "      <th>46</th>\n",
+       "      <td>NCBIGene:2064</td>\n",
+       "      <td>ERBB2</td>\n",
        "      <td>9</td>\n",
        "      <td>subject</td>\n",
-       "      <td>[biolink:regulates, biolink:physically_interac...</td>\n",
+       "      <td>[biolink:causes, biolink:genetically_associate...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>NCBIGene:572</td>\n",
-       "      <td>BAD</td>\n",
-       "      <td>8</td>\n",
+       "      <th>274</th>\n",
+       "      <td>NCBIGene:999</td>\n",
+       "      <td>CDH1</td>\n",
+       "      <td>9</td>\n",
        "      <td>subject</td>\n",
-       "      <td>[biolink:regulates, biolink:physically_interac...</td>\n",
+       "      <td>[biolink:causes, biolink:genetically_associate...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>NCBIGene:5599</td>\n",
-       "      <td>MAPK8</td>\n",
-       "      <td>8</td>\n",
+       "      <th>203</th>\n",
+       "      <td>NCBIGene:672</td>\n",
+       "      <td>BRCA1</td>\n",
+       "      <td>9</td>\n",
        "      <td>subject</td>\n",
-       "      <td>[biolink:regulates, biolink:physically_interac...</td>\n",
+       "      <td>[biolink:genetically_associated_with, biolink:...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>NCBIGene:5594</td>\n",
-       "      <td>MAPK1</td>\n",
-       "      <td>8</td>\n",
+       "      <th>147</th>\n",
+       "      <td>NCBIGene:5290</td>\n",
+       "      <td>PIK3CA</td>\n",
+       "      <td>9</td>\n",
        "      <td>subject</td>\n",
-       "      <td>[biolink:regulates, biolink:physically_interac...</td>\n",
+       "      <td>[biolink:causes, biolink:genetically_associate...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>28</th>\n",
-       "      <td>NCBIGene:10018</td>\n",
-       "      <td>BCL2L11</td>\n",
+       "      <th>33</th>\n",
+       "      <td>NCBIGene:1499</td>\n",
+       "      <td>CTNNB1</td>\n",
        "      <td>8</td>\n",
        "      <td>subject</td>\n",
-       "      <td>[biolink:regulates, biolink:physically_interac...</td>\n",
+       "      <td>[biolink:causes, biolink:genetically_associate...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -999,81 +826,81 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1080</th>\n",
-       "      <td>NCBIGene:301</td>\n",
-       "      <td>ANXA1</td>\n",
+       "      <th>1199</th>\n",
+       "      <td>NCBIGene:7345</td>\n",
+       "      <td>UCHL1</td>\n",
        "      <td>1</td>\n",
        "      <td>subject</td>\n",
-       "      <td>[biolink:affects, biolink:regulates, biolink:r...</td>\n",
+       "      <td>[biolink:gene_associated_with_condition]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1081</th>\n",
-       "      <td>NCBIGene:10660</td>\n",
-       "      <td>LBX1</td>\n",
+       "      <th>1200</th>\n",
+       "      <td>NCBIGene:89780</td>\n",
+       "      <td>WNT3A</td>\n",
        "      <td>1</td>\n",
        "      <td>subject</td>\n",
-       "      <td>[biolink:affects, biolink:regulates, biolink:r...</td>\n",
+       "      <td>[biolink:gene_associated_with_condition]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1082</th>\n",
-       "      <td>NCBIGene:5507</td>\n",
-       "      <td>PPP1R3C</td>\n",
+       "      <th>1201</th>\n",
+       "      <td>NCBIGene:5651</td>\n",
+       "      <td>TMPRSS15</td>\n",
        "      <td>1</td>\n",
        "      <td>subject</td>\n",
-       "      <td>[biolink:affects, biolink:regulates, biolink:r...</td>\n",
+       "      <td>[biolink:gene_associated_with_condition]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1083</th>\n",
-       "      <td>NCBIGene:4760</td>\n",
-       "      <td>NEUROD1</td>\n",
+       "      <th>1202</th>\n",
+       "      <td>NCBIGene:351</td>\n",
+       "      <td>APP</td>\n",
        "      <td>1</td>\n",
        "      <td>subject</td>\n",
-       "      <td>[biolink:affects, biolink:regulated_by, biolin...</td>\n",
+       "      <td>[biolink:gene_associated_with_condition]</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2649</th>\n",
-       "      <td>NCBIGene:4312</td>\n",
-       "      <td>MMP1</td>\n",
+       "      <th>3223</th>\n",
+       "      <td>NCBIGene:130062899</td>\n",
+       "      <td>NCBIGene:130062899</td>\n",
        "      <td>1</td>\n",
        "      <td>subject</td>\n",
-       "      <td>[biolink:regulated_by]</td>\n",
+       "      <td>[biolink:related_to]</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>2650 rows × 5 columns</p>\n",
+       "<p>3224 rows × 5 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "         output_node     Name  Num_of_primary_infores type_of_nodes  \\\n",
-       "32      NCBIGene:581      BAX                       9       subject   \n",
-       "20      NCBIGene:572      BAD                       8       subject   \n",
-       "18     NCBIGene:5599    MAPK8                       8       subject   \n",
-       "16     NCBIGene:5594    MAPK1                       8       subject   \n",
-       "28    NCBIGene:10018  BCL2L11                       8       subject   \n",
-       "...              ...      ...                     ...           ...   \n",
-       "1080    NCBIGene:301    ANXA1                       1       subject   \n",
-       "1081  NCBIGene:10660     LBX1                       1       subject   \n",
-       "1082   NCBIGene:5507  PPP1R3C                       1       subject   \n",
-       "1083   NCBIGene:4760  NEUROD1                       1       subject   \n",
-       "2649   NCBIGene:4312     MMP1                       1       subject   \n",
+       "             output_node                Name  Num_of_primary_infores  \\\n",
+       "46         NCBIGene:2064               ERBB2                       9   \n",
+       "274         NCBIGene:999                CDH1                       9   \n",
+       "203         NCBIGene:672               BRCA1                       9   \n",
+       "147        NCBIGene:5290              PIK3CA                       9   \n",
+       "33         NCBIGene:1499              CTNNB1                       8   \n",
+       "...                  ...                 ...                     ...   \n",
+       "1199       NCBIGene:7345               UCHL1                       1   \n",
+       "1200      NCBIGene:89780               WNT3A                       1   \n",
+       "1201       NCBIGene:5651            TMPRSS15                       1   \n",
+       "1202        NCBIGene:351                 APP                       1   \n",
+       "3223  NCBIGene:130062899  NCBIGene:130062899                       1   \n",
        "\n",
-       "                                      unique_predicates  \n",
-       "32    [biolink:regulates, biolink:physically_interac...  \n",
-       "20    [biolink:regulates, biolink:physically_interac...  \n",
-       "18    [biolink:regulates, biolink:physically_interac...  \n",
-       "16    [biolink:regulates, biolink:physically_interac...  \n",
-       "28    [biolink:regulates, biolink:physically_interac...  \n",
-       "...                                                 ...  \n",
-       "1080  [biolink:affects, biolink:regulates, biolink:r...  \n",
-       "1081  [biolink:affects, biolink:regulates, biolink:r...  \n",
-       "1082  [biolink:affects, biolink:regulates, biolink:r...  \n",
-       "1083  [biolink:affects, biolink:regulated_by, biolin...  \n",
-       "2649                             [biolink:regulated_by]  \n",
+       "     type_of_nodes                                  unique_predicates  \n",
+       "46         subject  [biolink:causes, biolink:genetically_associate...  \n",
+       "274        subject  [biolink:causes, biolink:genetically_associate...  \n",
+       "203        subject  [biolink:genetically_associated_with, biolink:...  \n",
+       "147        subject  [biolink:causes, biolink:genetically_associate...  \n",
+       "33         subject  [biolink:causes, biolink:genetically_associate...  \n",
+       "...            ...                                                ...  \n",
+       "1199       subject           [biolink:gene_associated_with_condition]  \n",
+       "1200       subject           [biolink:gene_associated_with_condition]  \n",
+       "1201       subject           [biolink:gene_associated_with_condition]  \n",
+       "1202       subject           [biolink:gene_associated_with_condition]  \n",
+       "3223       subject                               [biolink:related_to]  \n",
        "\n",
-       "[2650 rows x 5 columns]"
+       "[3224 rows x 5 columns]"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1084,15 +911,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "NodeNorm does not know about these identifiers: orphanet:119007\n",
-      "subclass_of.html\n"
+      "NodeNorm does not know about these identifiers: NCBIGene:107303338,orphanet:209285,orphanet:225351,NCBIGene:130001603,NCBIGene:130062899,orphanet:395930,NCBIGene:126859871,NCBIGene:109504725,NCBIGene:130058543,NCBIGene:129931243,NCBIGene:126861205,NCBIGene:129996245,orphanet:121904,NCBIGene:129390903,NCBIGene:129999452,NCBIGene:126860438,NCBIGene:126806659,NCBIGene:126806658,NCBIGene:129937389,NCBIGene:130059290\n",
+      "associated_with.html\n"
      ]
     }
    ],
@@ -1104,99 +931,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "merged_graph.html\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "        <iframe\n",
-       "            width=\"100%\"\n",
-       "            height=\"1000px\"\n",
-       "            src=\"merged_graph.html\"\n",
-       "            frameborder=\"0\"\n",
-       "            allowfullscreen\n",
-       "            \n",
-       "        ></iframe>\n",
-       "        "
-      ],
-      "text/plain": [
-       "<IPython.lib.display.IFrame at 0x3502d1bd0>"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import networkx as nx\n",
-    "from pyvis.network import Network\n",
-    "#G1 = dic_graph['treats']\n",
-    "G2 = dic_graph['directly_physically_interacts_with']\n",
-    "#G3 = dic_graph['_clinical_trials_for']\n",
-    "G_merged = nx.compose_all([G2])\n",
-    "# remove self-loops\n",
-    "G_merged.remove_edges_from(nx.selfloop_edges(G_merged))\n",
-    "# remove duplicate edges\n",
-    "G_merged = nx.Graph(G_merged)\n",
-    "# Select nodes with degree > 10\n",
-    "selected_nodes = ['BCL2']\n",
-    "# select the first neighbors of the selected nodes\n",
-    "for node in list(selected_nodes):\n",
-    "    neighbors = list(G_merged.neighbors(node))\n",
-    "    selected_nodes.extend(neighbors) # expand the selected nodes by adding their neighbors and only keep top 50 nodes\n",
-    "selected_nodes = list(set(selected_nodes))[:100] # keep only top 50 nodes\n",
-    "subgraph = G_merged.subgraph(selected_nodes).copy()\n",
-    "\n",
-    "net = Network(height=\"1000px\", width=\"100%\", notebook=True, cdn_resources=\"in_line\")\n",
-    "net.from_nx(subgraph)\n",
-    "\n",
-    "# Remove edge labels before passing to PyVis\n",
-    "for u, v, d in subgraph.edges(data=True):\n",
-    "    d.pop(\"label\", None)  # remove 'label' if it exists\n",
-    "\n",
-    "\n",
-    "for e in net.edges:\n",
-    "    e[\"title\"] = \"\\n\".join([f\"{k}: {v}\" for k,v in subgraph[e[\"from\"]][e[\"to\"]].items()])\n",
-    "# add title in the figure\n",
-    "title_html = f\"<h3>merged_graph</h3>\"\n",
-    "net.title = title_html + f\"<p>Nodes: {net.num_nodes()} Edges: {net.num_edges()}</p>\"\n",
-    "net.show(\"merged_graph.html\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# put G2 into table format\n",
-    "import pandas as pd\n",
-    "edges_data = []\n",
-    "for u, v, d in G2.edges(data=True):\n",
-    "    edge_info = {\n",
-    "        'source': u,\n",
-    "        'target': v,\n",
-    "    }\n",
-    "    edge_info.update(d)  # add all edge attributes\n",
-    "    edges_data.append(edge_info)\n",
-    "\n",
-    "edges_df = pd.DataFrame(edges_data)\n",
-    "edges_df.to_csv('BCL2_directly_physically_interacts_with_edges.csv', index=False)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1220,7 +955,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.13.5"
+   "version": "3.10.19"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/Network_finder.ipynb b/notebooks/Network_finder.ipynb
index f79cff3..76bbf37 100644
--- a/notebooks/Network_finder.ipynb
+++ b/notebooks/Network_finder.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -11,7 +11,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -28,7 +28,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 90,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -109,7 +109,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 91,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -127,57 +127,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 92,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "all relevant predicates in Translator:\n",
-      "['biolink:coexists_with', 'biolink:has_participant', 'biolink:disrupts', 'biolink:same_as', 'biolink:acts_upstream_of_or_within', 'biolink:treats_or_applied_or_studied_to_treat', 'biolink:similar_to', 'biolink:chemically_similar_to', 'biolink:correlated_with', 'biolink:response_affected_by', 'biolink:affects_response_to', 'biolink:genetically_associated_with', 'biolink:negatively_correlated_with', 'biolink:decreases_response_to', 'biolink:related_to', 'biolink:physical_interacts_with', 'biolink:overlaps', 'biolink:transcribed_from', 'biolink:has_gene_product', 'biolink:GeneAffectsChemicalAssociation', 'biolink:associated_with_increased_likelihood_of', 'biolink:interacts_with', 'biolink:part_of', 'biolink:orthologous_to', 'biolink:affects', 'biolink:gene_product_of', 'biolink:physically_interacts_with', 'biolink:subclass_of', 'biolink:derives_into', 'biolink:preventative_for_condition', 'biolink:regulated_by', 'biolink:contraindicated_in', 'biolink:causes', 'biolink:derives_from', 'biolink:genetically_interacts_with', 'biolink:expressed_in', 'biolink:associated_with_sensitivity_to', 'biolink:associated_with_resistance_to', 'biolink:occurs_in', 'biolink:affected_by', 'biolink:regulates', 'biolink:colocalizes_with', 'biolink:has_part', 'biolink:translates_to', 'biolink:in_complex_with', 'biolink:associated_with', 'biolink:occurs_together_in_literature_with', 'biolink:directly_physically_interacts_with', 'biolink:has_member', 'biolink:composed_primarily_of', 'biolink:produces', 'biolink:homologous_to', 'biolink:located_in', 'biolink:produced_by', 'biolink:gene_associated_with_condition', 'biolink:capable_of', 'biolink:biomarker_for', 'biolink:increases_response_to', 'biolink:has_phenotype', 'biolink:is_sequence_variant_of', 'biolink:close_match', 'biolink:positively_correlated_with', 'biolink:target_for', 'biolink:has_input', 'biolink:coexpressed_with']\n",
-      "all relevant APIs in Translator:\n",
-      "['Service Provider TRAPI', 'Automat-pharos(Trapi v1.5.0)', 'RTX KG2 - TRAPI 1.5.0', 'Automat-ehr-clinical-connections-kp(Trapi v1.5.0)', 'MolePro', 'SPOKE KP for TRAPI 1.5', 'Automat-icees-kg(Trapi v1.5.0)', 'Microbiome KP - TRAPI 1.5.0', 'Automat-robokop(Trapi v1.5.0)', 'CATRAX Pharmacogenomics KP - TRAPI 1.5.0', 'Connections Hypothesis Provider API', 'Multiomics KP - TRAPI 1.5.0', 'Automat-ehr-may-treat-kp(Trapi v1.5.0)', 'Text Mined Cooccurrence API', 'Automat-genome-alliance(Trapi v1.5.0)', 'Automat-hetionet(Trapi v1.5.0)', 'Automat-cam-kp(Trapi v1.5.0)', 'BioThings Explorer (BTE) TRAPI', 'CATRAX BigGIM DrugResponse Performance Phase KP - TRAPI 1.5.0', 'Automat-monarchinitiative(Trapi v1.5.0)', 'imProving Agent for TRAPI 1.5']\n",
-      "21\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "['https://bte.transltr.io/v1/team/Service%20Provider/query/',\n",
-       " 'https://automat.transltr.io/pharos/query/',\n",
-       " 'https://kg2cploverdb.ci.transltr.io/kg2c/query',\n",
-       " 'https://automat.renci.org/ehr-clinical-connections-kp/query/',\n",
-       " 'https://molepro-trapi.transltr.io/molepro/trapi/v1.5/query/',\n",
-       " 'https://spokekp.transltr.io/api/v1.5/query/',\n",
-       " 'https://automat.transltr.io/icees-kg/query/',\n",
-       " 'https://multiomics.rtx.ai:9990/mbkp/query',\n",
-       " 'https://automat.transltr.io/robokopkg/query/',\n",
-       " 'https://multiomics.rtx.ai:9990/PharmacogenomicsKG/query',\n",
-       " 'https://chp-api.transltr.io/query/',\n",
-       " 'https://multiomics.rtx.ai:9990/multiomics/query',\n",
-       " 'https://automat.renci.org/ehr-may-treat-kp/query/',\n",
-       " 'https://cooccurrence.transltr.io/query/',\n",
-       " 'https://automat.transltr.io/genome-alliance/query/',\n",
-       " 'https://automat.transltr.io/hetio/query/',\n",
-       " 'https://automat.transltr.io/cam-kp/query/',\n",
-       " 'https://bte.transltr.io/v1/query/',\n",
-       " 'https://multiomics.rtx.ai:9990/BigGIM_DrugResponse_PerformancePhase/query',\n",
-       " 'https://automat.transltr.io/monarch-kg/query/',\n",
-       " 'https://ia.transltr.io/api/v1.5/query/']"
-      ]
-     },
-     "execution_count": 92,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
+   "source": [
+    "input_info"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "# input_nodes\n",
-    "input_list = ['NPM1', 'FLT3', 'NRAS', 'BCL2', 'WNT7B']\n",
+    "input_list = ['STAT3', 'TP53', 'MCL1',  'NFKBIA','MKI67','BCL2L11','BCL2L1','BCL2','BAX','BAK1','BAD','CASP3','STAT5','MAPK14','NFKB1','ATR','NRAS','KRAS','MAPK1','MAPK2']\n",
     "input_info = name_resolver.batch_lookup(input_list)\n",
     "input_node1_list = [] # get the curie of the nodes in the input_info dictionary\n",
-    "input_node1_list = [input_info[node].curie for node in input_list]\n",
+    "input_node1_list = [input_info[node].curie for node in input_list] #\n",
     "input_node1_category = []\n",
     "for node in input_list:\n",
     "    if hasattr(input_info[node], 'types'):\n",
@@ -210,7 +177,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 95,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -223,37 +190,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 96,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "'Automat-ehr-clinical-connections-kp(Trapi v1.5.0)' generated an exception: argument of type 'NoneType' is not iterable\n",
-      "Microbiome KP - TRAPI 1.5.0: Success!\n",
-      "'Automat-ehr-may-treat-kp(Trapi v1.5.0)' generated an exception: argument of type 'NoneType' is not iterable\n",
-      "'imProving Agent for TRAPI 1.5' generated an exception: argument of type 'NoneType' is not iterable\n",
-      "'SPOKE KP for TRAPI 1.5' generated an exception: argument of type 'NoneType' is not iterable\n",
-      "'Automat-icees-kg(Trapi v1.5.0)' generated an exception: argument of type 'NoneType' is not iterable\n",
-      "'Automat-monarchinitiative(Trapi v1.5.0)' generated an exception: argument of type 'NoneType' is not iterable\n",
-      "'MolePro' generated an exception: argument of type 'NoneType' is not iterable\n",
-      "'Multiomics KP - TRAPI 1.5.0' generated an exception: argument of type 'NoneType' is not iterable\n",
-      "'Text Mined Cooccurrence API' generated an exception: argument of type 'NoneType' is not iterable\n",
-      "Automat-genome-alliance(Trapi v1.5.0): Success!\n",
-      "'Connections Hypothesis Provider API' generated an exception: 'NoneType' object has no attribute 'get'\n",
-      "Automat-cam-kp(Trapi v1.5.0): Success!\n",
-      "CATRAX Pharmacogenomics KP - TRAPI 1.5.0: Success!\n",
-      "CATRAX BigGIM DrugResponse Performance Phase KP - TRAPI 1.5.0: Success!\n",
-      "Automat-hetionet(Trapi v1.5.0): Success!\n",
-      "Automat-pharos(Trapi v1.5.0): Success!\n",
-      "RTX KG2 - TRAPI 1.5.0: Success!\n",
-      "Automat-robokop(Trapi v1.5.0): Success!\n",
-      "Service Provider TRAPI: Success!\n",
-      "BioThings Explorer (BTE) TRAPI: Success!\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Step 5: Query Translator APIs and parse results\n",
     "\n",
@@ -266,37 +205,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 98,
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "result_filtered"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "input_info"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'NCBIGene:596': TranslatorNode(curie='UniProtKB:A0A4X1SN03', label='A0A4X1SN03_PIG Zinc finger protein 596 (trembl)', types=['biolink:Protein', 'biolink:GeneProductMixin', 'biolink:Polypeptide', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:ChemicalEntityOrProteinOrPolypeptide', 'biolink:BiologicalEntity', 'biolink:ThingWithTaxon', 'biolink:NamedThing', 'biolink:Entity', 'biolink:GeneOrGeneProduct', 'biolink:MacromolecularMachineMixin'], synonyms=None, curie_synonyms=None), 'NCBIGene:4869': TranslatorNode(curie='PUBCHEM.COMPOUND:676542', label='Cl-4869 peak 2', types=['biolink:SmallMolecule', 'biolink:MolecularEntity', 'biolink:ChemicalEntity', 'biolink:PhysicalEssence', 'biolink:ChemicalOrDrugOrTreatment', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:ChemicalEntityOrProteinOrPolypeptide', 'biolink:NamedThing', 'biolink:Entity', 'biolink:PhysicalEssenceOrOccurrent'], synonyms=None, curie_synonyms=None), 'NCBIGene:4893': TranslatorNode(curie='MESH:C568585', label='S-4893 compound', types=['biolink:ChemicalEntity', 'biolink:PhysicalEssence', 'biolink:ChemicalOrDrugOrTreatment', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:ChemicalEntityOrProteinOrPolypeptide', 'biolink:NamedThing', 'biolink:Entity', 'biolink:PhysicalEssenceOrOccurrent'], synonyms=None, curie_synonyms=None), 'NCBIGene:2322': TranslatorNode(curie='NCBIGene:100313282', label='MIR2322', types=['biolink:Gene', 'biolink:GeneOrGeneProduct', 'biolink:GenomicEntity', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:PhysicalEssence', 'biolink:OntologyClass', 'biolink:BiologicalEntity', 'biolink:ThingWithTaxon', 'biolink:NamedThing', 'biolink:Entity', 'biolink:PhysicalEssenceOrOccurrent', 'biolink:MacromolecularMachineMixin'], synonyms=None, curie_synonyms=None)}\n",
-      "         Subject         Object                          Predicate\n",
-      "0  NCBIGene:2322  NCBIGene:4893            biolink:associated_with\n",
-      "1  NCBIGene:4893  NCBIGene:2322            biolink:associated_with\n",
-      "2  NCBIGene:2322  NCBIGene:2322                  biolink:regulates\n",
-      "3  NCBIGene:2322  NCBIGene:2322  biolink:physically_interacts_with\n",
-      "4   NCBIGene:596   NCBIGene:596  biolink:physically_interacts_with\n"
-     ]
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "47073cd47e494b05b9875a0906f3dffb",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "CytoscapeWidget(cytoscape_layout={'name': 'cose', 'nodeSpacing': 80, 'edgeLengthVal': 50}, cytoscape_style=[{'…"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# select the recored in the result which is a dictionary if the subject and objects are both in input_node1_list\n",
     "result_filtered = {k: v for k, v in result.items() if isinstance(v, dict) and\n",
@@ -310,7 +239,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "3.12.1",
+   "display_name": "my-rdkit-env",
    "language": "python",
    "name": "python3"
   },
@@ -324,7 +253,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.1"
+   "version": "3.10.19"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/Path_finder.ipynb b/notebooks/Path_finder.ipynb
index 401e7a5..7b61f01 100644
--- a/notebooks/Path_finder.ipynb
+++ b/notebooks/Path_finder.ipynb
@@ -11,42 +11,44 @@
    "source": [
     "### Path Finder: What are the potential paths between two nodes?\n",
     "### This pipeline can be used to get a ranked path between A and B given a set of paths.\n",
+    "### This pipeline requires users to set the categories of intermediate nodes for their pipeline\n",
     "\n",
     "![image.png](attachment:3da53daa-b927-420f-8b64-97ee4046cc60.png)\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "from TCT import TCT\n",
-    "\n",
+    "import sys\n",
+    "import os\n",
+    "sys.path.append('../TCT/')\n",
+    "import TCT\n",
+    "from TCT import translator_kpinfo\n",
+    "from TCT import node_normalizer\n",
     "from TCT import name_resolver\n",
     "from TCT import translator_metakg\n",
-    "from TCT import translator_kpinfo\n",
     "from TCT import translator_query\n",
+    "from TCT import TCT_pathfinder\n",
     "\n",
-    "\n",
-    "import seaborn as sns\n",
-    "import matplotlib.pyplot as plt\n",
-    "import pandas as pd\n",
-    "import requests\n",
-    "import json\n",
-    "import pandas as pd\n",
-    "import  seaborn as sns\n",
-    "import networkx as nx\n",
-    "import numpy as np\n",
-    "import ipycytoscape\n",
-    "import yaml\n"
+    "import requests"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Skipping server without x-maturity: {'url': '/sipr'}\n"
+     ]
+    }
+   ],
    "source": [
     "APInames, metaKG, Translator_KP_info= translator_metakg.load_translator_resources()\n",
     "\n",
@@ -62,14 +64,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "(22135, 5)\n"
+      "(22568, 5)\n"
      ]
     }
    ],
@@ -89,79 +91,49 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 6,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "TranslatorNode(curie='NCBIGene:406947', label='MIR155', types=['biolink:Gene', 'biolink:GeneOrGeneProduct', 'biolink:GenomicEntity', 'biolink:ChemicalEntityOrGeneOrGeneProduct', 'biolink:PhysicalEssence', 'biolink:OntologyClass', 'biolink:BiologicalEntity', 'biolink:ThingWithTaxon', 'biolink:NamedThing', 'biolink:Entity', 'biolink:PhysicalEssenceOrOccurrent', 'biolink:MacromolecularMachineMixin'], synonyms=None, curie_synonyms=None)"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "name_resolver.lookup('miR-155', only_taxa='NCBITaxon:9606')"
+    "#name_resolver.lookup('miR-155', only_taxa='NCBITaxon:9606')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "NCBIGene:3458\n",
-      "MONDO:0100096\n",
-      "CATRAX Pharmacogenomics KP - TRAPI 1.5.0: Success!\n",
-      "Automat-genome-alliance(Trapi v1.5.0): Success!\n",
-      "CATRAX BigGIM DrugResponse Performance Phase KP - TRAPI 1.5.0: Success!\n",
-      "Automat-cam-kp(Trapi v1.5.0): Success!\n",
-      "Automat-hetionet(Trapi v1.5.0): Success!\n",
+      "PUBCHEM.COMPOUND:132212657\n",
+      "MONDO:0018874\n",
       "RTX KG2 - TRAPI 1.5.0: Success!\n",
-      "Automat-robokop(Trapi v1.5.0): Success!\n",
-      "Service Provider TRAPI: Success!\n",
-      "BioThings Explorer (BTE) TRAPI: Success!\n",
       "CATRAX Pharmacogenomics KP - TRAPI 1.5.0: Success!\n",
-      "Automat-pharos(Trapi v1.5.0): Success!\n",
+      "Automat-monarchinitiative(Trapi v1.5.0): Success!\n",
       "Automat-robokop(Trapi v1.5.0): Success!\n",
+      "Automat-pharos(Trapi v1.5.0): Success!\n",
+      "CATRAX BigGIM DrugResponse Performance Phase KP - TRAPI 1.5.0: Success!\n",
       "Clinical Trials KP - TRAPI 1.5.0: Success!\n",
-      "Microbiome KP - TRAPI 1.5.0: Success!\n",
       "RTX KG2 - TRAPI 1.5.0: Success!\n",
       "Service Provider TRAPI: Success!\n",
       "BioThings Explorer (BTE) TRAPI: Success!\n",
-      "UniProtKB:P12544-1: no preferred name\n",
-      "ENSEMBL:ENSP00000497585: no preferred name\n",
-      "ENSEMBL:ENSP00000497585: no preferred name\n",
-      "UniProtKB:P12544-1: no preferred name\n",
-      "UniProtKB:Q92614-1: no preferred name\n",
-      "UniProtKB:Q92614-1: no preferred name\n",
-      "NCBIGene:3497: no preferred name\n",
-      "NodeNorm does not know about these identifiers: UniProtKB:Q8NF90,UniProtKB:Q8WWJ7\n",
-      "NCBIGene:1055: no preferred name\n",
-      "NCBIGene:28755: no preferred name\n",
-      "NCBIGene:3497: no preferred name\n",
-      "NodeNorm does not know about these identifiers: UMLS:C5943250,UMLS:C5959582,UMLS:C5908975,UMLS:C5926549,UMLS:C5943245,CHEMBL.TARGET:CHEMBL1697664,CHEMBL.TARGET:CHEMBL6188,CHEMBL.TARGET:CHEMBL4295579,CHEMBL.TARGET:CHEMBL1075031,CHEMBL.TARGET:CHEMBL4295609,CHEMBL.TARGET:CHEMBL1287621,CHEMBL.TARGET:CHEMBL3499,CHEMBL.TARGET:CHEMBL4295625,CHEMBL.TARGET:CHEMBL4295542,CHEMBL.TARGET:CHEMBL1741198,CHEMBL.TARGET:CHEMBL3309030,CHEMBL.TARGET:CHEMBL4882,CHEMBL.TARGET:CHEMBL3309037,NCBIGene:619501,NCBIGene:100187907,NCBIGene:260431,NCBIGene:100188881,NCBIGene:2656,NCBIGene:100616100,NCBIGene:7808,NCBIGene:100187761,NCBIGene:7909,NCBIGene:28891,NCBIGene:338340,NCBIGene:100616102,NCBIGene:7864,NCBIGene:100862683,NCBIGene:100616101,NCBIGene:105376906,NCBIGene:100862684,NCBIGene:619465,NCBIGene:100616103,NCBIGene:100775105,NCBIGene:100862688,NCBIGene:8168,NCBIGene:7502,NCBIGene:NaN,NCBIGene:470,NCBIGene:1483,NCBIGene:28874,NCBIGene:3438,NCBIGene:4827,NCBIGene:100862695,NCBIGene:8129,NCBIGene:4397,NCBIGene:100862689,NCBIGene:100862690,ENSEMBL:ENSP00000344192,ZFIN:ZDB-GENE-081104-23,RGD:6492449,WB:WBGene00002976,WB:WBGene00000039,WB:WBGene00005643,WB:WBGene00005647,WB:WBGene00005648,WB:WBGene00005649,WB:WBGene00012084,WB:WBGene00013969,WB:WBGene00009278,WB:WBGene00001501,WB:WBGene00002881,WB:WBGene00001500,WB:WBGene00004249,WB:WBGene00006588,WB:WBGene00008996,WB:WBGene00016283,WB:WBGene00077763,WB:WBGene00006587,WB:WBGene00006589,WB:WBGene00009108,WB:WBGene00010423,RGD:2320097,RGD:1597199,RGD:9404643,NCBIGene:70044589,NCBIGene:87307421,NCBIGene:69839598,NCBIGene:77093917,NCBIGene:43014149,NCBIGene:9734648,NCBIGene:64304292,NCBIGene:66845091,NCBIGene:66674871,NCBIGene:69877904,NCBIGene:69447949,NCBIGene:77268409,NCBIGene:72435423,NCBIGene:66412180,NCBIGene:56333716,NCBIGene:86836226,NCBIGene:69526498,NCBIGene:56943405,NCBIGene:63019226,NCBIGene:91433784,NCBIGene:69735768,NCBIGene:69731355,NCBIGene:66967904,NCBIGene:50043243,NCBIGene:90938815,NCBIGene:57312032,NCBIGene:87309862,NCBIGene:66423232,NCBIGene:66545538,NCBIGene:69880493,NCBIGene:56280614,NCBIGene:66670882,NCBIGene:67491618,NCBIGene:56596593,NCBIGene:60545508,NCBIGene:66716715,NCBIGene:89615363,NCBIGene:70085494,NCBIGene:66216181,NCBIGene:75175404,NCBIGene:89614415,NCBIGene:69660549,NCBIGene:57633102,NCBIGene:69988122,NCBIGene:69796008,NCBIGene:89528680,NCBIGene:69619515,NCBIGene:69886013,NCBIGene:87008972,NCBIGene:56675691,NCBIGene:72406518,NCBIGene:72495708,NCBIGene:79235574,NCBIGene:84658007,NCBIGene:88770584,NCBIGene:68688299,NCBIGene:69423538,NCBIGene:60780364,NCBIGene:56651995,NCBIGene:61466620,NCBIGene:90616937,NCBIGene:57314851,NCBIGene:77311177,NCBIGene:72405345,NCBIGene:90616400\n",
-      "Number of possible paths:  897\n",
-      "NCBIGene:3497: no preferred name\n"
+      "NodeNorm does not know about these identifiers: NCBIGene:130064183,NCBIGene:126861451,NCBIGene:126807619,NCBIGene:130056381,NCBIGene:110806263,NCBIGene:129934333,NCBIGene:107303340\n",
+      "Number of possible paths:  2\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/yzhang/Translator_component_toolkit/TCT/TCT.py:1631: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
+      "/Users/gqin/Github_repo/Translator_component_toolkit/TCT/TCT.py:1641: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
       "  ax.set_xticklabels(ax.get_xticklabels(), rotation=90, ha=\"center\", fontsize=fontsize)\n"
      ]
     },
     {
      "data": {
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AAAAAEhNeAQAAAAASE14BAAAAABITXgEAAAAAEhNeAQAAAAASE14BAAAAABITXgEAAAAAEhNeAQAAAAASE14BAAAAABITXgEAAAAAEhNeAQAAAAASE14BAAAAABITXgEAAAAAEhNeAQAAAAASE14BAAAAABITXgEAAAAAEhNeAQAAAAASE14BAAAAABITXgEAAAAAEhNeAQAAAAASE14BAAAAABITXgEAAAAAEhNeAQAAAAASE14BAAAAABITXgEAAAAAEhNeAQAAAAASE14BAAAAABITXgEAAAAAEhNeAQAAAAASE14BAAAAABITXgEAAAAAEhNeAQAAAAASE14BAAAAABITXgEAAAAAEhNeAQAAAAASE14BAAAAABITXgEAAAAAEhNeAQAAAAASE14BAAAAABITXgEAAAAAEhNeAQAAAAASE14BAAAAABITXgEAAAAAEhNeAQAAAAASE14BAAAAABKrU+wBtkV5eXnMmDEjysrKYtGiRZFlWXzzm98s9lgAAAAAABFRjcLrkiVL4r777ounn3463n777Vi+fHn+d7lcLsrLyze657333ov3338/IiKaNm0avXr1qrJ5AQAAAICaq1qE1/vuuy+uuuqqWLBgQUREZFm2VfetXLkyzj333MjlclGrVq2YNm1atGnTpjJHBQAAAAAo/Xe8nn/++XHxxRfH/PnzN/pdLpf70nsPPvjgOOiggyLLslizZk38+c9/rqQpAQAAAAD+paTD61VXXRWDBw+OLMsil8tFlmXRtm3bOPvss+Piiy/eqidf+/btmz9+9tlnK3NcAAAAAICIKOHwOnLkyPjv//7vyOVykcvlokWLFjFs2LCYMmVKDB48OK666qqt2ufEE0+MiLWvJxgxYsQm3wULAAAAAJBSyYbX6667LrIsiyzLonnz5jFixIjo06dPhffZc889o3HjxhERsXz58pgwYULqUQEAAAAACpRkeF28eHG88MIL+addb7nllujUqdM279e1a9f8sfAKAAAAAFS2kgyvr7/+eqxatSqyLIumTZvG97///e3ar1WrVvnjzz//fHvHAwAAAAD4UiUZXqdPnx4REblcLg4++OCoVWv7xvza176WP160aNF27QUAAAAAsCUlGV7nzp2bP95pp522e79Vq1blj7c34gIAAAAAbElJVshGjRrlj5csWbLd+82ZMyd/3KJFi+3eDwAAAADgy5RkeF3/KdepU6du115ZlsXo0aPz6/Xf9woAAAAAUBlKMrzuueeeEbE2mn7wwQcxb968bd7rH//4RyxYsCC/Pvjgg7d7PgAAAACAL1OS4bVbt26x4447Ri6XizVr1sTdd9+9zXvdfPPN+eM999wzWrdunWJEAAAAAIDNKsnwGhFxyimnRJZlkWVZ3HjjjfH+++9XeI+77rornnvuuYiIyOVycc4556QeEwAAAABgIyUbXq+99tqoX79+5HK5WL58efz7v/97PP/881t178qVK2PAgAFx+eWXRy6Xi4iIr33ta3HppZdW5sgAAAAAABERUafYA2zObrvtFgMGDIhrrrkmcrlclJWVxfHHHx9HHHFEnHrqqRt9Sdbs2bNjwoQJ8fzzz8dDDz0Un376aWRZFhFrn3a94447okmTJsX4UwAAAACAGqZkw2tExFVXXRXjx4+PP/7xj5HL5SLLsnj11Vfj1VdfLbguy7Jo06ZNwToi8vf86Ec/irPOOqtKZwcAAAAAaq6SfdXAOg888ED0798//8qAiMi/+zWXy+V/1p2LiIJrBw4cGLfffnuVzw0AAAAA1FwlH15zuVz0798/3njjjfj2t7+dj6sRURBbNzx3xBFHxGuvvRa//OUvq3pkAAAAAKCGK+lXDazvkEMOib/97W8xefLkeOGFF+L111+PTz/9NObNmxcrV66MHXfcMVq3bh3du3ePY489NvbZZ59ijwwAAAAA1FDVJryu0759+7jwwgvjwgsvLPYoAAAAAACbVJLh9bXXXovf/OY3+fVtt90Wbdu2LeJEAAAAAABbryTD6z//+c946qmnIpfLRbt27URXAAAAAKBaKckv11q9enX+uGvXrkWcBAAAAACg4koyvLZu3Tp/3KxZs+INAgAAAACwDUoyvO66667547lz5xZxEgAAAACAiivJ8NqjR49o3LhxZFkW77zzTmRZVuyRAAAAAAC2WkmG1wYNGkSvXr0iImL+/Pnx+OOPF3kiAAAAAICtV5LhNSLixhtvzL/f9ac//WnMnDmzuAMBAAAAAGylkg2vu+22W/zhD3+IevXqxaeffhrf/OY3Y8SIEcUeCwAAAABgi+oUe4DNmTZtWuy///7x4IMPxg9+8IP4+OOPo2fPnnH44YdH7969o1u3btGqVato0qRJhfZt27ZtJU0MAAAAALBWyYbX3XffPXK5XH6dy+Uiy7J444034o033timPXO5XJSXl6caEQAAAABgk0o2vK6TZVk+wK773yzLijkSAAAAAMCXKvnwGiG0AgAAAADVS8mG13POOafYIwAAAAAAbJOSDa8PPPBAsUcAAAAAANgmtYo9AAAAAADAV43wCgAAAACQmPAKAAAAAJCY8AoAAAAAkFjJfrnWl1mzZk2MHTs2Zs+eHWVlZZHL5aJ58+bRqlWr6Nq1a9SuXbvYIwIAAAAANVi1Ca/l5eUxZMiQGDx4cLz99tuxdOnSTV63ww47xCGHHBLnnntunHbaaVGnTrX5EwEAAACAr4hq8aqBv//979G+ffs455xz4uWXX44lS5ZElmWb/FmyZEm8/PLLcc4550T79u3j+eefL/b4AAAAAEANU/Lh9cYbb4zjjz8+pk+fHlmWRURELpeLXC630bXrn8+yLKZPnx7f/va3Y9CgQVU6MwAAAABQs5X0v8O/77774tprr42IKAiqtWvXji5dusRee+0VTZs2jYiIBQsWxIQJE2LcuHGxevXq/PVr1qyJ/v37R6tWreLCCy8szh+yBVOmTIn33nsvZsyYEYsXL442bdpEu3btonv37lG3bt1ijxfl5eUxatSoGDt2bMyZMydWrlwZjRs3jl133TU6d+4ce++9t1c6AAAAAMB6SraWTZ8+Pa644oqC4LrrrrvGNddcE2eeeWY+uG5owYIF8cgjj8SNN94Y06dPj1wuF1mWxY9//OM4/vjj4+tf/3pV/hlf6rHHHotbb7013nzzzU3+vkWLFnHqqafG9ddfHzvuuGMVTxcxceLE+K//+q8YOnRoLFy4cLPXNWzYMHr06BGXXHJJnHTSSVU4IQAAAACUppJ91cDAgQNj+fLl+XWvXr1i3Lhxcemll242ukZENG3aNC655JIYP358nHzyyZFlWeRyuVixYkX86le/qorRt2jx4sVx+umnR9++fTcbXSMiysrK4p577ol99tknhg8fXmXzlZeXx3XXXRddu3aN++6770uja0TEsmXL4u9//3sMHTq0iiYEAAAAgNJWkk+8rl69Oh577LH8067f/OY34/HHH49atba+Ezdq1CiGDRsWRx99dLz66qsREfHoo4/G//zP/1Ron9RWr14dp556ajzzzDMF53faaafo1q1bNG3aND7++OMYPXp0/p22s2bNil69esULL7wQPXr0qNT5li1bFn369NlovlwuF3vvvXe0bds2mjVrFosXL47JkyfHhx9+GOXl5ZU6EwAAAABUNyUZXv/5z3/GggULImJt8Lvrrru2KZbWqlUr7rrrrthnn30iImLhwoXx1ltvRffu3ZPOWxFXX311QdSsW7du3HrrrXHhhRdGvXr18ufHjRsXF1xwQf6J2BUrVkTv3r3jgw8+iDZt2lTKbFmWxWmnnVYwX4MGDeLKK6+MCy+8MHbdddeN7lm6dGn8/e9/jyFDhhTMDwAAAAA1WUm+amDSpEkR8a+nLLt27brNe3Xt2jUfXtffuxgmT54ct99+e8G5Rx99NH70ox9tFC27du0aL774Yhx22GH5c/PmzYuBAwdW2nx33313PP300/l1mzZtYtSoUTFw4MBNRteIiB122CF69eoVf/7zn+P++++vtNkAAAAAoDopyfA6Z86c/HGnTp22e7/OnTvnj+fOnbvd+22rgQMHxqpVq/Lrc889N3r16rXZ6xs2bBiDBw8uiLL3339/TJ48Ofls06ZNi6uvvjq/btCgQbzwwgvRpUuXrd6jTp2SfIAaAAAAAKpcSYbX1atX549TxLzatWtvcu+qtGzZsnjssccKzl111VVbvK9z587Ru3fv/Lq8vDweeeSR1OPFDTfcEIsXL86vr7322u160hgAAAAAarKSDK877bRT/jjF051TpkzZ5N5Vafjw4bF06dL8+rDDDou99tprq+4977zzCtZPPPFE0tkWLVpUEHMbNWoUV1xxRdLPAAAAAICapCTDa7t27SJi7Zc9jR49Oj799NNt3mv69OkxcuTIjfauas8991zB+sgjj9zqe3v27Fnw5O/o0aNj1qxZqUaLoUOHFjztesopp0STJk2S7Q8AAAAANU1Jhtfu3btHw4YNI5fLRZZl8Z//+Z/bvNeVV14ZWZZFxNp3ph5++OGpxqyQMWPGFKzX/9KsLWnUqFHsu+++BefGjh2bZK6IiJdffrlg/a1vfSvZ3gAAAABQE5VkeK1fv358+9vfjizLIsuyePTRR+PKK6+s8D7XXHNNDBkyJHK5XORyuTj++OMLvqiqKo0fP75g3bFjxwrd36FDh4L1uHHjtnumdf75z38WrNdF4WXLlsUjjzwS3/3ud6NDhw7RsGHDaNasWXTs2DH69u0b9957byxatCjZHAAAAADwVVGS4TUiYuDAgVGrVq38U6+33HJLdO/ePV588cUt3vvSSy/F4YcfHv/v//2//P21atWKAQMGVP7gm1BWVhZlZWUF59q2bVuhPTa8fuLEids9V0TE/PnzY9KkSfl1vXr1on379vHqq6/G3nvvHWeeeWb89a9/jcmTJ8fy5ctjwYIF8fHHH8djjz0WF110Ueyxxx7x29/+NsksAAAAAPBVUWfLlxRH165d4+qrr45f//rX+Xj61ltvxTHHHBM777xzHHLIIdG5c+do2rRp5HK5WLBgQXz00Ufx1ltvxeeffx4Ra98Ru+5p1//8z/+Mvffeuyh/y/z58wvWO+ywQzRq1KhCe7Rq1apgvWDBgu0dKyIi///VOrvssks88cQT8b3vfS/WrFmzxfvnzZsXV1xxRbzzzjvxwAMPFLyLdnvNnj075syZU6F71o/IAAAAAFAsJRteIyIGDRoUn332WTz44IORy+UiYm1MnTlzZvzlL3/Z5D3r3ue6LrhmWRZnn312/PrXv66yuTe0/hdXRax912xFbXhPqn/iv2EUXrx4cZx11ln56NquXbv44Q9/GD169IiWLVtGWVlZvP7663HXXXfF1KlT8/c9/PDD0bp16/jv//7vJHNFRNx9990xcODAZPsBAAAAQFUp2VcNrPPAAw/EnXfeGQ0aNCh4gnWdde+BXWf94Fq/fv244447YvDgwUWY/F82DK8NGjSo8B4bhtcN99xWG4bXuXPnxvLlyyMiom/fvjF+/Pj4z//8zzjssMOic+fOceihh8bPfvazGD9+fPTt27fg3ltuuSVee+21JHMBAAAAQHVW8uE1IuLSSy+NKVOmxC9/+cto27ZtPrauH1zXP9e2bdv45S9/GVOmTIkf/vCHRZx809YPx5V5z9bY3OsEDjrooHjkkUc2+3RugwYN4pFHHomDDjqo4PygQYOSzwgAAAAA1U1Jv2pgfa1atYqBAwfGwIED47PPPot33303Zs+eHV988UVkWRYtWrSIVq1axYEHHhi77rprscct0Lhx44L1smXLKrzHhvdsuOe22tw+//3f/73F97XWqVMnbr311ujZs2f+3PPPPx+zZ8/e6J202+LSSy/d6KnaLZk0aVL07t17uz8bAAAAALZHtQmv69t1111LLq5+meoWXtu1axff/OY3t+r+Hj16RPv27WPy5Mn5c6+++mqFg+mmtGrVKknABQAAAICqVi1eNVDdNW3atGC9dOnSWLJkSYX2mD17dsG6WbNm2zvWZvc59NBDK7THIYccUrAeP3789owEAAAAANWe8FoFWrZsGc2bNy84N23atArt8cknnxSsO3XqtN1zRax9urV+/foF59q0aVOhPXbZZZeC9bx587Z7LgAAAACozoTXKtKlS5eC9aRJkyp0//r/lH9T+22r2rVrx5577llwbsMQuyUbXr98+fLtngsAAAAAqrOSDa9TpkyJ888/P/+z4T+13xqzZs0q2GP69OmVMOnW2WeffQrWb7755lbfu2TJknj//fe/dL/tsd9++xWs58+fX6H7N7y+ZcuW2zkRAAAAAFRvJRte77333hg8eHA8+OCDMWHChG36kqXWrVvHhx9+GA8++GA8+OCDcf/991fCpFvnuOOOK1i/8sorW33va6+9FuXl5fl1t27donXr1qlGi29/+9sF67Fjx1bo/jFjxhSsd9ttt+2eCQAAAACqs5INr0888UT++Pzzz9/mfc4///zIsiyyLItHH300xWjb5Nhjj42GDRvm12+++WZ8+OGHW3Xv4MGDC9YnnXRSytHihBNOKHhdwDvvvBNlZWVbde8XX3wR//znPwvO9ezZM+l8AAAAAFDdlGR4nT59ekycODEiInK53HaFxpNOOilyuVxERIwfPz5mzZqVZMaK2mGHHaJPnz4F526++eYt3vfRRx/Fk08+mV/XqVMnzjjjjKSzNWnSpGC2FStWxJ133rlV9955550F73Rt165d0tcgAAAAAEB1VJLh9YMPPoiItdG1ffv20aJFi23eq2XLltGhQ4f8+v/+7/+2e75tNWDAgKhbt25+PXjw4Hj66ac3e/3y5cvjvPPOi5UrV+bP9evXr+Dv2ZRcLlfwszWvNfjVr34V9erVy69//etfb/E9tG+++WYMGjSo4Nw111yTD90AAAAAUFOVZHidMmVK/njPPffc7v06d+68yb2rWvv27eOKK64oONenT5+48847C+JqxNqnc48++ugYMWJE/lzLli2jf//+lTLbHnvsEVdeeWV+vWLFijjmmGPinnvuiVWrVhVcW15eHr/73e/imGOOKZj74IMPjvPOO69S5gMAAACA6qROsQfYlIULF+aPmzVrtt37rb/HggULtnu/7XHTTTfF2LFj49lnn42IiFWrVsVll10Wv/rVr2L//fePJk2axOTJk2PUqFGRZVn+vnr16sWTTz4Zbdq0qbTZrr/++pgwYUL+XbiLFy+OSy+9NH7+85/HoYceGi1atIiysrJ46623Yv78+QX37rrrrvH4448XPDULAAAAADVVSYbX9f85/tKlS7d7v2XLluWP14+ZxVC7du0YNmxYXHDBBTF06ND8+dmzZ8dzzz23yXtatWoVDz74YKV/aVUul4uHHnooWrRoEb/73e/y5+fPn7/Z2SLWPun65JNPxi677FKp8wEAAABAdVGSrxrYcccd88efffbZdu+3/h4tW7bc7v22V+PGjWPIkCHx6KOPxqGHHrrZ61q0aBGXXHJJjBkzJo477rgqma1+/frxP//zP/HCCy/Et771rahdu/Zmr91nn31i8ODBMWLECNEVAAAAANZTkk+8rot4WZbF6NGjY/HixdG4ceNt2mvx4sUxatSo/Loy/6l+RfXp0yf69OkTU6ZMiVGjRsWMGTNiyZIlsfPOO0e7du3i8MMP36Z/up/iqd6jjz46jj766JgzZ0689dZbMXPmzJg7d240adIkWrduHd27d4/ddtttuz8HAAAAAL6KSjK8HnbYYVGnTp1YvXp1lJeXxx/+8Ie4/PLLt2mvBx54IMrLyyNi7T+lP+yww1KOmsQee+wRe+yxR7HH2KSddtopTjzxxGKPAQAAAADVSkm+aqBx48Zx8MEHR5ZlkWVZDBo0KKZPn17hfaZPnx6DBg2KXC4XuVwuDjjggGjRokUlTAwAAAAA8C8lGV4jIq644oqIWPuU6ty5c+O4446LKVOmbPX9U6dOjW9/+9sxZ86c/D+939anZgEAAAAAKqJkw2ufPn1iv/32i4i18XXcuHHxjW98I371q1/FrFmzNnvf7NmzY9CgQdGtW7cYO3Zs/mnXvffeO84444yqGh8AAAAAqMFK8h2vEWtj67Bhw+KQQw6JhQsXRi6Xi0WLFsWAAQNiwIABseeee8bee+8dzZs3j1wuF2VlZTFu3LiYMGFC/hUFuVwusiyL5s2bx+OPPx65XK7YfxYAAAAAUAOUbHiNiOjcuXM8+eSTccopp8T8+fPzITUi4sMPP4wJEyYUXL/udxGRv7Zly5bxxBNPRKdOnap0dgAAAACg5irZVw2sc+SRR8Y777wThx56aD6srnt9wIbWP59lWXzzm9+MkSNHRs+ePat0ZgAAAACgZiv58BoR0b59+3jjjTdi+PDhcdJJJ0WzZs3yrxPY8Kd58+bRp0+fePnll+OVV16Jtm3bFnt8AAAAAKCGKelXDWzoW9/6VnzrW9+KLMti/PjxMXPmzJg3b15EROy4447Rpk2b6NKlS5GnBAAAAABqumoVXtfJ5XLRtWvX6Nq1a7FHAQAAAADYSLV41QAAAAAAQHUivAIAAAAAJFYtXzXwZUaOHBlTpkyJ+vXrR5cuXaJjx47FHgkAAAAAqGFKNrwuX748ZsyYkV+3a9cuateuvdnrn3766bj88svj008/LTh/2GGHxb333ut9sAAAAABAlSnZVw3ccsst0alTp+jUqVMcddRRUavW5kcdNmxYnHzyyfHpp59GlmUFPyNGjIhDDjkkRo4cWYXTAwAAAAA1WcmG16eeeiqyLIuIiH79+kUul9vkdV988UVcdNFFsWbNmoiIgutyuVzkcrlYsmRJnHzyybF8+fLKHxwAAAAAqPFKMrwuW7Ys3nvvvXxEPeGEEzZ77R133BELFiyIXC4XWZbFLrvsEpdddln85Cc/ibZt2+bj7fTp0+O3v/1tlcwPAAAAANRsJRleP/jgg1i9enVkWRaNGjWK/ffff7PXPvzww/nouueee8aYMWPi9ttvj1tuuSU++OCDOOiggyIiIsuyGDx4cBX9BQAAAABATVaS4XXKlCkRsfZVAV/2pVgffvhhTJo0KX/t9ddfH02bNs3/vnHjxnHHHXfk1xMmTNjoy7cAAAAAAFIryfA6a9as/HGbNm02e91rr70WEWufZm3cuHGcdNJJG11z8MEHx2677ZZfv//++wknBQAAAADYWEmG16VLl+aPmzRpstnr3njjjYhY+7Tr0UcfHXXq1Nnkdfvss0/+eNq0aYmmBAAAAADYtJIMr+u+ECsiYtWqVZu9bsSIEfnjnj17bva6li1b5o8XLly4ndMBAAAAAHy5kgyv6z/luv5rB9b3+eef59/vGhHRvXv3ze5XXl6eP14/6gIAAAAAVIaSDK+77rprRKyNpB988MEmr3nmmWfyx/Xr14/9999/s/vNnz8/f9yoUaM0QwIAAAAAbEZJhtf99tsvf1xWVhbDhw/f6JoHHnggIta+3/Xggw+OunXrbna/yZMn54933nnnhJMCAAAAAGysJMNrhw4dolOnTpHL5SLLsrj00ktjypQp+d/fcsst+S/Wiojo1avXZvdavHhxwSsJOnToUDlDAwAAAAD8/5VkeI2IuOCCCyLLssjlcjFlypTYa6+94uCDD47dd989rrzyysjlchER0aBBgzjrrLM2u88rr7ySf69rnTp1Yu+9966S+QEAAACAmqtkw+sVV1wRe+21V0SsfZ3AqlWrYuTIkTFt2rR8SM3lcvEf//EfsdNOO212nyeffDJ/7b/9279F/fr1K394AAAAAKBGK9nwWq9evRg+fHjstdde+dC67gnYdccnn3xyDBw4cLN7LF68OB5//PH8PUcffXTlDw4AAAAA1Hh1ij3Al/n6178e7733XvzhD3+Ip59+Oj755JOIiNhrr73ijDPOiJNPPvlL7x88eHAsXLgwv/7Od75TqfMCAAAAAESUeHiNiKhbt25cdNFFcdFFF1X43n79+sX3v//9/Lpp06YpRwMAAAAA2KSSD6/bo2HDhtGwYcNijwEAAAAA1DAl+45XAAAAAIDqSngFAAAAAEhMeAUAAAAASEx4BQAAAABITHgFAAAAAEhMeAUAAAAASEx4BQAAAABITHgFAAAAAEhMeAUAAAAASEx4BQAAAABITHgFAAAAAEhMeAUAAAAASEx4BQAAAABITHgFAAAAAEhMeAUAAAAASEx4BQAAAABITHgFAAAAAEisTrEH2Jzzzz8/2V65XC6aNGkSTZs2jZ133jkOOOCA+MY3vhH16tVL9hkAAAAAAOuUbHgdPHhw5HK5Stu/QYMGceqpp8Zll10W3bp1q7TPAQAAAABqnmrxqoEsywp+KnLthtevO7ds2bJ48MEH4+CDD45rr702Vq9eXZl/AgAAAABQg5R0eF0/nOZyufzPpuLq5q5df5/1I+y6361evTpuuummOO+886r4rwMAAAAAvqpK9lUDU6ZMiYiI999/P/r16xfz5s2LLMuiY8eO0bdv3zjooIOibdu28bWvfS1WrlwZZWVl8cEHH8TLL78cTz/9dKxcuTJyuVycfvrpMWjQoFixYkXMnz8/xo0bF//4xz/i0UcfjWXLluVD7p/+9Kc45JBD4oc//GGR/3IAAAAAoLrLZVv6t/tF9Mwzz8T3vve9WLZsWbRs2TJuv/32OP3007d436xZs+Kyyy6Lxx57LHK5XBx99NHxzDPPRJ06/+rMZWVlcckll8Sjjz6aj6+tW7eOqVOnRv369Svzz6ISjR07NvbZZ5/8esyYMbH33nsXcaLKNXDgwGKPAADVUv/+/Ys9AgAAVaCYrahkXzUwderUOPPMM2Pp0qWx4447xquvvrpV0TUionXr1jFs2LC47LLLIsuyePHFF+NnP/tZwTUtWrSIoUOHxllnnZV/BcHs2bPj8ccfT/63AAAAAAA1S8mG16uuuioWLFgQuVwubr311ujSpUuF97jllluiS5cukWVZ3HHHHTF+/PiNrrn77rujRYsW+Xe+vvzyy9s9OwAAAABQs5VkeJ0/f348/fTTEbH2ydStfdJ1Q3Xq1IkLL7wwv37wwQc3uqZx48Zx9tln5596feedd7bpswAAAAAA1inJ8DpixIhYsWJF5HK5OPDAA6NWrW0f87DDDssfv/TSS5u85sgjj4yIiCzLYvbs2dv8WQAAAAAAESUaXj/77LP8ccuWLbdrrxYtWmxy3/W1bds2f/zFF19s1+cBAAAAAJRkeJ03b94mj7dFWVlZRKx9mnXd8YaaNGmSP173ygEAAAAAgG1VkuF1p512ioi1EfTdd9+NNWvWbPNeb775Zv54c0/PLl68OH/cqFGjbf4sAAAAAICIEg2v7du3zx+XlZXF0KFDt2mf1atXx3333RcREblcLjp06LDJ6z755JP8NTvvvPM2fRYAAAAAwDolGV579uwZzZo1i1wuF1mWxU9+8pOYNGlShfe58sorY9y4cfn1iSeeuMnr3nnnnfzx5uIsAAAAAMDWKsnwWqdOnTj//PMjy7LI5XIxe/bs6NGjRzz++ONbdf/cuXPjrLPOittuuy1yuVxERDRu3Di+//3vb/L6p556Kn984IEHbvf8AAAAAEDNVqfYA2zOgAEDYsiQITFz5sx8fP3e974XnTt3jr59+8aBBx4Y7dq1iyZNmsTKlSvjiy++iA8++CBefvnl+Mtf/hIrVqzIf1FWLpeLgQMHRuvWrTf6nLfffjvGjh2bD7RHHHFElf6dAAAAAMBXT8mG18aNG8fw4cPjqKOOinnz5uVfOzBhwoS44YYbvvTedU/KrrvnkksuiR//+MebvHbgwIH5e3bcccfo2bNn6j8FAAAAAKhhSvJVA+vsvffe8dprr8UBBxxQEFMj1obSTf1ERD641q1bN2688ca48847N/sZzzzzTKxZsybWrFkTs2fPjlq1Svr/EgAAAACgGij5yrjnnnvGW2+9FXfffXd07dq1ILBuSpZlUb9+/TjnnHNi9OjRcdVVV1XhtAAAAAAAJfyqgfXVqlUrLr744rj44ovjgw8+iBEjRsT//d//xdy5c2P+/PlRv379aN68ebRr1y4OPfTQ6NGjRzRt2rTYYwMAAAAANVS1CK/r23fffWPfffct9hgAAAAAAJtV8q8aAAAAAACoboRXAAAAAIDEhFcAAAAAgMSEVwAAAACAxKrVl2t9/PHHMXr06Jg9e3YsWLAgVq1aVeE9rrvuukqYDAAAAADgX0o+vC5btixuvfXW+P3vfx/Tpk3b7v2EVwAAAACgspV0eB0zZkycdNJJMXny5MiyrOB3uVyuQntlWVbhewAAAAAAtkXJhtcZM2bEscceGzNnzoyIf4XWdQF2wxALAAAAAFAqSja8/vznP4+ZM2cWBNcDDzwwTjjhhOjSpUs0b9486tatW+QpAQAAAAA2VpLhddGiRfHII49ELpeLLMuiUaNG8fDDD0evXr2KPRoAAAAAwBaVZHj9xz/+EeXl5RGx9hUD9957r+gKAAAAAFQbtYo9wKZ88skn+eNddtklTj/99CJOAwAAAABQMSUZXhcuXBgRa592PfDAA4s8DQAAAABAxZRkeG3VqlX+uFGjRkWcBAAAAACg4koyvLZr1y5/PHfu3CJOAgAAAABQcSUZXnv06BHNmjWLLMvi3XffjSzLij0SAAAAAMBWK8nwWr9+/TjzzDMjIuKLL76Ip556qrgDAQAAAABUQEmG14iIQYMGRdu2bSMi4qc//WmUlZUVeSIAAAAAgK1TsuG1adOmMWzYsGjevHlMnTo1jjrqqPjoo4+KPRYAAAAAwBbVKfYAmzNt2rTYeeed489//nOceeaZ8cEHH8S+++4bp5xySnznO9+Jrl27RvPmzaNWrYq143VP0QIAAAAAVJaSDa+777575HK5gnOrVq2KoUOHxtChQ7dpz1wuF+Xl5SnGAwAAAADYrJINr+tkWRa5XK4gwmZZVsSJAAAAAAC+XMmH1wihFQAAAACoXko2vJ5zzjnFHgEAAAAAYJuUbHh94IEHij0CAAAAAMA2qVXsAQAAAAAAvmqEVwAAAACAxIRXAAAAAIDEhFcAAAAAgMSEVwAAAACAxIRXAAAAAIDE6hTjQ//93/+9YJ3L5eLFF1/80mtS2NTnAAAAAACkVpTw+sorr0Qul4uIiCzL8sebuyaFzX0OAAAAAEBqXjUAAAAAAJBYUZ54jVj7BGqKawAAAAAASk1RwuuaNWuSXAMAAAAAUIq8agAAAAAAIDHhFQAAAAAgMeEVAAAAACCxkg2vc+fOTb7nPffck3xPAAAAAIANlWx47dWrV6xcuTLZfo888khcdtllyfYDAAAAANickg2vb775Zpx33nlJ9nrmmWfi3HPPjSzLkuwHAAAAAPBlSja8RkQMGTIk+vfvv117vPbaa9G3b98oLy9PNBUAAAAAwJcr6fAaETFo0KB45JFHtune9957L0488cRYvnx54qkAAAAAADavZMPrN77xjYiIyLIs+vXrF2+88UaF7p84cWIce+yxsXDhwsiyLHK5XNx4442VMCkAAAAAQKGSDa9//etfo02bNpHL5WLFihVx0kknxZQpU7bq3unTp8e3vvWtmDNnTuRyucjlcnHllVfGlVdeWclTAwAAAACUcHjddddd4+mnn46GDRtGLpeLuXPnxne+851YsGDBl943b968OOaYY2LatGmRy+UiIuKCCy7wtCsAAAAAUGVKNrxGROy///7x8MMP559anTBhQpxyyimxevXqTV6/ePHiOO644+LDDz/MR9c+ffrE7373u6ocGwAAAACo4Uo6vEZE9O7dO2666abIsiwiIl5++eW46KKLNrpuxYoV8d3vfjdGjhyZj67HHHNM/OlPf6rSeQEAAAAASj68RkT87Gc/i379+kWWZZFlWTzwwANx880353+/evXqOPXUU+OVV17JR9dDDz00nnjiiahTp06xxgYAAAAAaqhqEV4jIu6555446qijIiIiy7K49tpr48knn4yIiPPPPz+efvrpyOVykWVZ7LPPPvHMM89Ew4YNizkyAAAAAFBDVZvwWqdOnXjiiSeic+fOkcvlYs2aNfH9738/Tj311HjooYfy0bVDhw7x/PPPR9OmTYs9MgAAAABQQ1Wb8BoR0bRp0/jf//3faNGiReRyuVi6dGk89thjEbH2Kdhddtkl/v73v0fr1q2LPCkAAAAAUJNVq/AaEdGhQ4d44oknom7duvmnXCMimjdvHs8991zsvvvuxR0QAAAAAKjxql14jYjo2bNn/P73v89H18aNG8czzzwT++yzT5EnAwAAAACIqFOMD73++uuT7NO+ffuYMmVKHHLIITF8+PAYPnz4Fu+57rrrknw2AAAAAMDmFCW8DhgwIHK5XJK9siyLl156KV566aWtul54BQAAAAAqW7V81cD6tjbgrnstAQAAAABAZSvKE68RQigAAAAA8NVVlPD68ssvF+NjAQAAAACqRFHC6xFHHFGMjwUAAAAAqBLV/h2vAAAAAAClRngFAAAAAEhMeAUAAAAASEx4BQAAAABITHgFAAAAAEisTrEHqIiPP/44Ro8eHbNnz44FCxbEqlWrKrzHddddVwmTAQAAAAD8S8mH12XLlsWtt94av//972PatGnbvZ/wCgAAAABUtpIOr2PGjImTTjopJk+eHFmWFfwul8tVaK8syyp8DwAAAADAtijZ8Dpjxow49thjY+bMmRHxr9C6LsBuGGIBAAAAAEpFyYbXn//85zFz5syC4HrggQfGCSecEF26dInmzZtH3bp1izwlAAAAAMDGSjK8Llq0KB555JHI5XKRZVk0atQoHn744ejVq1exRwMAAAAA2KKSDK//+Mc/ory8PCLWvmLg3nvvFV0BAAAAgGqjVrEH2JRPPvkkf7zLLrvE6aefXsRpAAAAAAAqpiTD68KFCyNi7dOuBx54YJGnAQAAAAComJIMr61atcofN2rUqIiTAAAAAABUXEmG13bt2uWP586dW8RJAAAAAAAqriTDa48ePaJZs2aRZVm8++67kWVZsUcCAAAAANhqJRle69evH2eeeWZERHzxxRfx1FNPFXcgAAAAAIAKKMnwGhExaNCgaNu2bURE/PSnP42ysrIiTwQAAAAAsHVKNrw2bdo0hg0bFs2bN4+pU6fGUUcdFR999FGxxwIAAAAA2KI6xR5gc6ZNmxY777xz/PnPf44zzzwzPvjgg9h3333jlFNOie985zvRtWvXaN68edSqVbF2vO4pWgAAAACAylKy4XX33XePXC5XcG7VqlUxdOjQGDp06Dbtmcvlory8PMV4AAAAAACbVbLhdZ0syyKXyxVE2CzLijgRAAAAAMCXK/nwGiG0AgAAAADVS8mG13POOafYIwAAAAAAbJOSDa8PPPBAsUcAAAAAANgmtYo9AAAAAADAV43wCgAAAACQmPAKAAAAAJCY8AoAAAAAkJjwCgAAAACQmPAKAAAAAJBYnWIPsLUWL14cf/3rX2PEiBExfvz4+OKLL2LBggWxZs2ard4jl8vFxx9/XIlTAgAAAABUg/C6atWq6N+/f9xzzz2xcOHC/Pksyyq8Vy6XSzkaAAAAAMAmlXR4nTt3bhx//PExatSofGhdP55uTUjNsixyudw2hVoAAAAAgG1RsuF1zZo1cdppp8XIkSMjIvLxtG7dutGiRYv4/PPP81G1bdu2sXDhwpg/f/5GgbZJkybRokWLov0dAAAAAEDNU7JfrjVkyJB46aWXIpfLRS6Xi9122y0ee+yxWLRoUYwYMaLg2ilTpsS8efNiyZIl8eKLL8ZZZ50VderUiSzLory8PH75y1/GlClTYsqUKUX6awAAAACAmqRkw+utt94aEWtfFdCqVat444034uSTT466detu9hUDDRo0iKOOOir++Mc/xhtvvBG77757LFu2LH7wgx/EXXfdVZXjAwAAAAA1WEmG17lz58aoUaPyT7vecMMNsdtuu1VojwMPPDBeeOGF2GmnnSLLsvjJT34S7733XuUMDAAAAACwnpIMr2+//XZErH3atWHDhnHGGWds0z7t27ePG264ISIiVq9eHTfeeGOyGQEAAAAANqckw+uMGTMiYu0XZO23337RoEGDL71+1apVm/3d2WefHY0bN44sy+Jvf/tbLFmyJOmsAAAAAAAbKsnw+sUXX+SPN/WKgXr16hWsly9fvtm96tWrFwcffHD+ujfeeCPRlAAAAAAAm1aS4TXLsvzxpp52bdKkScF61qxZX7pf69at88frnqYFAAAAAKgsJRlev/a1r+WPFy1atNHvGzVqFHXq1Mmvp06d+qX7rVy5Mn88e/bs7R8QAAAAAOBLlGR4bdeuXf54U6E0l8tFp06d8ut//vOfX7rfmDFj8sd169ZNMCEAAAAAwOaVZHjda6+9ImLtKwfGjRu3yWu+8Y1v5I+HDBmy2b3efvvtmDBhQn69yy67pBkSAAAAAGAzSjK8tm/fPlq1ahUREQsXLowPP/xwo2t69eqVPx47dmzceOONG10ze/bsOO+88yKXy+XPHX744ZUwMQAAAADAv9TZ8iXFceSRR8awYcMiIuLZZ5/NPwW7zgknnBA77bRTzJ07N7Isi1/84hfx/PPPxwknnBBNmzaNDz/8MB588MEoKyuLLMsil8vFkUceGbvttlsx/hwAAAAAoAYpySdeIyJOPvnkiFj7uoGHHnpoo9/vsMMOccMNN+SjapZl8Y9//COuvPLKuOiii+I3v/lNzJs3L3993bp146abbqqy+QEAAACAmqtkn3g94YQT4sQTT4w1a9ZERMS0adOibdu2BddccMEFMXbs2Lj99tsLXiewLsauC7J16tSJ3/3ud3HQQQdV6d8AAAAAANRMJRted9hhh/jLX/6yxet+85vfRPfu3WPAgAExfvz4/PksyyIiokePHnHzzTfHYYcdVmmzAgAAAACsr2TDa0X07ds3+vbtG5MmTYqJEyfG/Pnzo3nz5vFv//Zv0aZNm2KPBwAAAADUMF+J8LpOx44do2PHjsUeAwAAAACo4Ur2y7UAAAAAAKqrGhNey8rK4uqrry72GAAAAABADfCVD68LFiyIX/7yl7HHHnvEf/3XfxV7HAAAAACgBvhKveN1fYsWLYrf/OY38Zvf/CYWLlwYWZZFLpcr9libNGXKlHjvvfdixowZsXjx4mjTpk20a9cuunfvHnXr1i32eAAAAABABX3lwuuSJUvit7/9bdxyyy3xxRdfRJZlxR5psx577LG49dZb480339zk71u0aBGnnnpqXH/99bHjjjtW8XQbW7p0aey7774xefLkgvPnnHNODB48uDhDAQAAAEAJKpnwumrVqnjppZfipZdeik8//TTKysqiQYMG0b59+zjyyCPj29/+dtSps/lxV6xYEXfeeWfcfPPNMW/evHxwXfeUa5Zl0bFjxyr5W7Zk8eLF8YMf/CCGDBnypdeVlZXFPffcE0888UQ8+OCDceyxx1bRhJt27bXXbhRdAQAAAICNlUR4HTp0aFx11VXx6aefbvL3t99+e7Rr1y7uueeeTcbHJ598Mn7yk5/Ep59+usng2qlTp7j22mvjrLPOqrw/YiutXr06Tj311HjmmWcKzu+0007RrVu3aNq0aXz88ccxevTo/N8ya9as6NWrV7zwwgvRo0ePYowdb731Vvz2t78tymcDAAAAQHVT9C/Xuv766+OMM86IadOmRZZl+Z911q2nTp0aJ5xwQgwdOjT/uxUrVsR5550Xffr0yd+fy+Uil8vlg+sf//jHGD9+fJx99tlRq1bR/9y4+uqrC6Jr3bp144477ojp06fH8OHDY9iwYTFy5MgYM2ZMHHbYYfnrVqxYEb17946ZM2dW+cwrV66Mfv36xZo1ayIiokmTJlU+AwAAAABUJ0Utkc8++2wMGDCgIJiu/6TqhudXr14d/fr1i08//TRWrFgRxx57bPzxj3/cKLh27tw5HnrooRg3blycddZZJRFcIyImT54ct99+e8G5Rx99NH70ox9FvXr1Cs537do1XnzxxYL4Om/evBg4cGCVzLq+66+/PsaNGxcREe3atYuLLrqoymcAAAAAgOqkqK8auPzyyyOi8LUAO+64Yxx00EHRvHnzWLhwYYwaNSpmzJiRv2bZsmVx8803R61ateIf//hHQXDt2LFjDBw4ME477bT89aVk4MCBsWrVqvz63HPPjV69em32+oYNG8bgwYNj3333jZUrV0ZExP333x9XXnlltG/fvtLnjYj4v//7v7j55pvz63vuuSfefvvtKvlsAAAAAKiuivYo6CuvvBIff/xxPpo2atQoBg8eHLNmzYr//d//jYcffjiefvrpmD59ejz11FPRqlWrfEx95JFH4t57742ItbF2hx12iFtuuSXGjRsXp59+eklG12XLlsVjjz1WcO6qq67a4n2dO3eO3r1759fl5eXxyCOPpB5vk8rLy+P888+P8vLyiIg4/fTT4/jjj6+SzwYAAACA6qxo4fV///d/I2JtOK1du3b89a9/jbPPPnuT0fS73/1uvPTSS9GwYcOIiFiwYEGsXLkycrlc7LHHHvHPf/4zfvKTn0SdOiXxXWGbNHz48Fi6dGl+fdhhh8Vee+21Vfeed955Besnnngi6Wyb81//9V8xatSoiIho0aJF3HbbbVXyuQAAAABQ3RUtvL733nsRsfY1A9/97nfjiCOO+NLru3TpEhdeeGHBF281bNgwnn/++ejSpUtljprEc889V7A+8sgjt/renj17FkTl0aNHx6xZs1KNtkkTJkwoeJ/sLbfcEq1atarUzwQAAACAr4qihdeJEyfmj08++eStuueUU07JH+dyuTjvvPOiQ4cOyWerDGPGjClYr/+lWVvSqFGj2HfffQvOjR07Nslcm7JmzZro169frFixIiIi/v3f/z3OPffcSvs8AAAAAPiqKVp4XbBgQf5477333qp7unbtWrA+7rjjks5UmcaPH1+w7tixY4Xu3zAwjxs3brtn2pw777wz3njjjYhY+1Tx7373u0r7LAAAAAD4KipaeF20aFH+uGnTplt1T7NmzSIi8q8baN++ffK5KkNZWVmUlZUVnGvbtm2F9tjw+vWfGE5p6tSp8fOf/zy/7t+/f4UjMQAAAADUdEX7Nqo1a9bkj2vXrr1V92z4xVuNGjVKOlNlmT9/fsF6hx12qPDsG75fdf0nhlP6wQ9+EEuWLImIiH/7t3+Ln/70p5XyOVtj9uzZMWfOnArdM2nSpEqaBgAAAAC2XtHCa02yePHignXDhg0rvMeG96z/xHAq999/f7zwwgsREVGrVq247777Cr7Uq6rdfffdBV/wBQAAAADVRdFeNVCTbBheGzRoUOE9NgyvG+65vWbMmBE/+9nP8uvLL788DjrooKSfAQAAAAA1hfBaBBu+MqGy7qmISy+9NP9KhHbt2sWgQYMq9fMAAAAA4KusqK8aWBcT33rrrZg6dWqF79+W+775zW9W+HO2V+PGjQvWy5Ytq/AeG96z4Z7bY8iQIfGXv/wlv77nnntK4v25l156afTt27dC90yaNCl69+5dOQMBAAAAwFYq+jtesyyL008/vUruy+VyUV5eXuHP2l6lHF7nzp0bl19+eX59+umnx/HHH59k7+3VqlWrjb5UDAAAAACqg6KH11wuF1mWVej6dSpyXzE1bdq0YL106dJYsmRJhZ4qnT17dsG6WbNmKUaLyy+/PObMmRMRES1atIjbbrstyb4AAAAAUJMVPbxGbPv7SytyXzEjbcuWLaN58+bxxRdf5M9NmzYtunTpstV7fPLJJwXrTp06bfdcEyZMiD//+c/59Y9//ONYunTpFl/fsO5dsOssXry44J5atWpF27Ztt3s+AAAAAKiuihZe27ZtW+lfGFVKunTpEiNGjMivJ02aVKHwOnny5I32214bvr7guuuui+uuu67C+zz++OPx+OOP59dNmzbdKM4CAAAAQE1StPC6LV+mVZ3ts88+BeH1zTffjBNPPHGr7l2yZEm8//77G+0HAAAAAJSmWsUeoKY47rjjCtavvPLKVt/72muvFXwpWLdu3aJ169apRgMAAAAAEhNeq8ixxx4bDRs2zK/ffPPN+PDDD7fq3sGDBxesTzrppCQzfeMb34gsyyr8079//4J9zjnnnILfe80AAAAAADWd8FpFdthhh+jTp0/BuZtvvnmL93300Ufx5JNP5td16tSJM844I/l8AAAAAEA6wmsVGjBgQNStWze/Hjx4cDz99NObvX758uVx3nnnxcqVK/Pn+vXrFx06dPjSz8nlcgU/FXmtAQAAAACw/YTXKtS+ffu44oorCs716dMn7rzzzoK4GhExfvz4OProowu+kKtly5Yb/TN/AAAAAKD01Cn2ADXNTTfdFGPHjo1nn302IiJWrVoVl112WfzqV7+K/fffP5o0aRKTJ0+OUaNGRZZl+fvq1asXTz75ZLRp06ZYowMAAAAAW0l4rWK1a9eOYcOGxQUXXBBDhw7Nn589e3Y899xzm7ynVatW8eCDD0bPnj2rakwAAAAAYDt41UARNG7cOIYMGRKPPvpoHHrooZu9rkWLFnHJJZfEmDFj4rjjjqvCCQEAAACA7eGJ1yLq06dP9OnTJ6ZMmRKjRo2KGTNmxJIlS2LnnXeOdu3axeGHHx716tWr8L7rv6KgMgwYMCAGDBhQqZ8BAAAAANWZ8FoC9thjj9hjjz2KPQYAAAAAkIhXDQAAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACQmvAIAAAAAJCa8AgAAAAAkJrwCAAAAACRWp9gDAAAAbI+BAwcWewQAqJb69+9f7BG+0jzxCgAAAACQmPAKAAAAAJCY8AoAAAAAkJjwCgAAAACQmPAKAAAAAJCY8AoAAAAAkJjwCgAAAACQmPAKAAAAAJCY8AoAAAAAkJjwCgAAAACQmPAKAAAAAJCY8AoAAAAAkJjwCgAAAACQmPAKAAAA8P9r786jrKrOfWG/u6roFAWURkSRRkBQk4M9XcS+jygY1Bg6TUxMvB69I4kmuVfRXK8Oo/cYMzQnSgG2gMTuiIgNegRBsCFRsYGiEQQREEV6qor9/cHHDhsoqIJVe1fh84zBSM1Za875VoYD1v7VXHMBJEzwCgAAAACQMMErAAAAAEDCBK8AAAAAAAkTvAIAAAAAJEzwCgAAAACQMMErAAAAAEDCBK8AAAAAAAkTvAIAAAAAJEzwCgAAAACQMMErAAAAAEDCBK8AAAAAAAkTvAIAAAAAJEzwCgAAAACQMMErAAAAAEDCBK8AAAAAAAkTvAIAAAAAJEzwCgAAAACQMMErAAAAAEDCBK8AAAAAAAkTvAIAAAAAJEzwCgAAAACQMMErAAAAAEDCBK8AAAAAAAkTvAIAAAAAJEzwCgAAAACQMMErAAAAAEDCBK8AAAAAAAkTvAIAAAAAJEzwCgAAAACQMMErAAAAAEDCBK8AAAAAAAkTvAIAAAAAJEzwCgAAAACQMMErAAAAAEDCBK8AAAAAAAkTvAIAAAAAJEzwCgAAAACQMMErAAAAAEDCBK8AAAAAAAkTvAIAAAAAJEzwCgAAAACQMMErAAAAAEDCBK8AAAAAAAkTvAIAAAAAJEzwCgAAAACQMMErAAAAAEDCBK8AAAAAAAkTvAIAAAAAJEzwCgAAAACQMMErAAAAAEDCBK8AAAAAAAkTvAIAAAAAJEzwCgAAAACQMMErAAAAAEDCBK8AAAAAAAkTvAIAAAAAJEzwCgAAAACQMMErAAAAAEDCBK8AAAAAAAkTvAIAAAAAJEzwCgAAAACQMMErAAAAAEDCBK8AAAAAAAkTvAIAAAAAJKwo3wUQMW/evPjHP/4RixcvjtWrV0fLli3jsMMOi+7du0edOnVyXs+6devi448/jk8++SSWLVsWq1evjoYNG8YBBxwQRx11VBx99NFRVOQ/HQAAAACoiPQsj8aOHRv33HNPTJ06dYffP+CAA6J///5x6623RtOmTau1lvfeey+eeeaZmDhxYkyfPj1KS0srvHbfffeN/v37x3XXXRff+973qrUuAAAAAKiNHDWQB6tXr47LLrssLrnkkgpD14iIFStWxAMPPBBHHXVUTJgwoVpqWb9+fbRv3z6OPfbYuO222+LNN9/caegaEbFmzZooLi6OY445Jm688cZdXg8AAAAA3zV2vOZYeXl59O/fP1544YWs/mbNmkXXrl2jUaNGMWfOnJgxY0ak0+mIiPjyyy/jwgsvjFdeeSV69uyZaD1lZWUxd+7c7fpTqVR06tQpWrduHU2bNo3Vq1fHhx9+mHVteXl53HnnnTF79uwYPXq04wcAAAAA4P9nx2uO3XjjjVmha506deK+++6Lzz//PCZMmBBjxoyJd999Nz788MPo1q1b5roNGzZEnz594osvvqi22goLC+Occ86JUaNGxdKlS+Pjjz+OCRMmxGOPPRbPPvtszJkzJ9555534wQ9+kDXuqaeeiltuuaXa6gIAAACA2kbwmkNz586Ne++9N6vvySefjF/96ldRt27drP4uXbrEq6++mhW+fvXVVzF06NDE66pXr1788pe/jPnz58cLL7wQ/fv3r/BM2WOPPTYmTpwYl112WVb/XXfdFZ999lnitQEAAABAbSR4zaGhQ4dmnYc6aNCguPDCCyu8vkGDBjFixIisUHbYsGE7PBpgd9WvXz9KSkriL3/5SxxyyCGVGlNYWBjDhg2LQw89NNO3cePGGDNmTGJ1AQAAAEBtJnjNkXXr1sXYsWOz+n7729/uclzHjh2jT58+mXZZWVk8/vjjidVVVFRU6cB1aw0aNIjBgwdn9b322mtJlQUAAAAAtZrgNUcmTJgQa9euzbS7desWRxxxRKXGbhtwPvXUU4nWtru6du2a1V68eHGeKgEAAACAmkXwmiMvvvhiVrt3796VHturV68oKirKtGfMmBFffvllUqXttq1rith83AAAAAAAIHjNmQ8//DCrvfVLs3Zl3333jaOPPjqrb+bMmYnUtSdKSkqy2i1btsxTJQAAAABQswhec+Tjjz/Oah9++OFVGt++ffus9kcffbTHNe2pbc+sPeGEE/JUCQAAAADULILXHFixYkWsWLEiq69169ZVmmPb62fPnr3Hde2Jt99+O958882svosuuihP1QAAAABAzVK060vYU998801We5999ol99923SnM0b948q71y5co9LWu3lZaWxtVXX53V16tXr8R3vC5dujSWLVtWpTHbHn8AAAAAAPkgeM2B1atXZ7UbNGhQ5Tm2HbNq1ao9qmlP/PrXv44ZM2Zk2nXq1Ik///nPia9z//33x9ChQxOfFwAAAACqm6MGcmDb4LV+/fpVnmPb4HXbOXOluLg47r333qy+W265Jf7t3/4tL/UAAAAAQE0keM2DVCqVkzFJe/HFF+PnP/95Vt/5558fN910U54qAgAAAICayVEDOdCwYcOs9rp166o8x7Zjtp2zur355pvRt2/fKC0tzfT17NkzRo8eXW2h8DXXXBOXXHJJlcaUlJREnz59qqUeAAAAAKgswWsO1Pbg9d13343zzjsv1q5dm+k74YQTYty4cbHPPvtU27rNmzff7qViAAAAAFAbOGogBxo1apTVXrt2baxZs6ZKcyxdujSr3bhx4z0tq1Lef//9OPPMM2PlypWZvq5du8aECRNi//33z0kNAAAAAFDbCF5z4MADD4wmTZpk9S1YsKBKc3z22WdZ7Q4dOuxxXbvy0Ucfxemnnx4rVqzI9B111FHx0ksv5Sz4BQAAAIDaSPCaI507d85ql5SUVGn83Llzdzpf0j799NM47bTTYtmyZZm+I444Il555ZVo2rRpta4NAAAAALWd4DVHjjrqqKz21KlTKz12zZo18f777+90viSVlJTEqaeeGkuWLMn0dejQISZOnBgtWrSotnUBAAAAYG8heM2Rs88+O6v9+uuvV3rspEmToqysLNPu2rVrtQWg8+bNi1NPPTUWL16c6WvXrl1MnDgxWrZsWS1rAgAAAMDeRvCaI2eddVY0aNAg0546dWp88sknlRo7YsSIrPZFF12UZGkZCxYsiFNPPTUWLlyY6TvssMNi4sSJccghh1TLmgAAAACwNxK85sg+++wT/fr1y+q78847dzlu1qxZ8fTTT2faRUVFcfnllyde3+LFi+O0006L+fPnZ/patWoVEydOjMMOOyzx9QAAAABgbyZ4zaFbbrkl6tSpk2mPGDEinnvuuQqvX79+fQwePDg2btyY6bvyyiujffv2O10nlUpl/dnVsQZLly6N0047LeuFXy1btozXXnst2rVrt4ufCgAAAADYVlG+C/guadeuXVx33XXxpz/9KdPXr1+/uOeee+JnP/tZ1K1bN9P/8ccfx1VXXRVTpkzJ9B144IFx8803J1rTN998E2eccUbWsQf77rtvDBs2LOrUqZO1A7Yy2rRpk2h9AAAAAFAbCV5z7I477oiZM2fG+PHjIyKitLQ0rr322rjtttvimGOOif322y/mzp0b7733XqTT6cy4unXrxtNPP534C67+8Y9/xPvvv5/Vt2bNmjj33HN3a76tawYAAACA7yrBa44VFhbGmDFj4qqrrorRo0dn+pcuXRovvvjiDsc0b948Ro4cGb169cpVmQAAAADAHnDGax40bNgwRo0aFU8++WScdNJJFV53wAEHxC9+8Yv48MMP4+yzz85hhQAAAADAnrDjNY/69esX/fr1i3nz5sV7770XixcvjjVr1sRBBx0Uhx12WPTo0SPr3NfKqsrj/r1793Y8AAAAAAAkTPBaA7Rt2zbatm2b7zIAAAAAgIQ4agAAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASVpTvAoiYN29e/OMf/4jFixfH6tWro2XLlnHYYYdF9+7do06dOnmt7b333ovZs2fHokWLIiKiVatW0bFjx+jatWte6wIAAACAmkzwmkdjx46Ne+65J6ZOnbrD7x9wwAHRv3//uPXWW6Np06Y5q6u0tDTuvvvueOihh2LOnDk7vObwww+Pq666Km644Ya8h8MAAAAAUNM4aiAPVq9eHZdddllccsklFYauERErVqyIBx54II466qiYMGFCTmqbPXt2nHTSSXHTTTdVGLpGRJSUlMSNN94Y3bp1i5KSkpzUBgAAAAC1hR2vOVZeXh79+/ePF154Iau/WbNm0bVr12jUqFHMmTMnZsyYEel0OiIivvzyy7jwwgvjlVdeiZ49e1ZbbUuWLIkzzjgjPvvss6z+ww8/PI488shIp9Mxc+bMrED23XffjTPPPDPeeuutaN68ebXVBgAAAAC1iR2vOXbjjTdmha516tSJ++67Lz7//POYMGFCjBkzJt5999348MMPo1u3bpnrNmzYEH369IkvvviiWuratGlT9OnTJyt0bdmyZUyYMCFmz54dzzzzTDz77LNRUlIS48ePj4MOOihz3bx58+Kiiy7KBMUAAAAA8F0neM2huXPnxr333pvV9+STT8avfvWrqFu3blZ/ly5d4tVXX80KX7/66qsYOnRotdT22GOPxbRp0zLtAw44IKZMmRJnnnnmdteeffbZMWXKlGjSpEmmb8qUKTF69OhqqQ0AAAAAahvBaw4NHTo0SktLM+1BgwbFhRdeWOH1DRo0iBEjRmSFssOGDYu5c+cmWld5eXncfPPNWX333HNPtGnTpsIxbdu2jXvuuSer7w9/+ENs2rQp0doAAAAAoDYSvObIunXrYuzYsVl9v/3tb3c5rmPHjtGnT59Mu6ysLB5//PFEa5s8eXLMmzcv027VqlVcccUVuxz3k5/8JFq1apVpz5kzJ6ZMmZJobQAAAABQGwlec2TChAmxdu3aTLtbt25xxBFHVGrs4MGDs9pPPfVUorU9/fTTWe0BAwZEYWHhLscVFhZuF9AmXRsAAAAA1EaC1xx58cUXs9q9e/eu9NhevXpFUVFRpj1jxoz48ssvkyptj2rb9trx48cnUBEAAAAA1G6C1xz58MMPs9pbvzRrV/bdd984+uijs/pmzpyZSF0bNmyIkpKSrL6TTjqp0uO7d++e1Z49e3Zs3LgxkdoAAAAAoLYSvObIxx9/nNU+/PDDqzS+ffv2We2PPvpoj2uKiPj000+jvLw8027evHnsv//+lR6///77R9OmTTPt8vLymDVrViK1AQAAAEBtJXjNgRUrVsSKFSuy+lq3bl2lOba9fvbs2XtcV0Rst9u1qnXtaExStQEAAABAbVW060vYU998801We5999ol99923SnM0b948q71y5co9LSsitq9t23Uqo7pqW7p0aSxbtqxKY7bdCbxtsLy3Wbp0ab5LAIBaKaljm6gZ3BMBwO75LtwTbZsNbdiwIWdrC15zYPXq1VntBg0aVHmObcesWrVqj2raoibXdv/998fQoUP3aI4+ffokUgsAsHe5//77810CAEDefRfviRYuXBjHHHNMTtZy1EAObBtu1q9fv8pzbBtubjvn7qrJtQEAAABAbSV4zYNUKpWTMbujJtcGAAAAALWFowZyoGHDhlntdevWVXmObcdsO+fuqsm1XXPNNXHJJZdUacy3334b77zzTuy///7RuHHjOPTQQ6NevXqJ1ANQWSUlJVlHnTzzzDNx+OGH568gAIA8cE8E1AQbNmyIhQsXZtonn3xyztYWvOZATQ43a3JtzZs3362XfXXr1i2R9QGScvjhh8eRRx6Z7zIAAPLKPRGQL7k603VbjhrIgUaNGmW1165dG2vWrKnSHNu+qbVx48Z7WlZEbF/bsmXLqjxHddUGAAAAALWV4DUHDjzwwGjSpElW34IFC6o0x2effZbV7tChwx7XtaN5tl2nMqqrNgAAAACorQSvOdK5c+esdklJSZXGz507d6fz7a5OnTpFYWFhpr106dJYtWpVpcd/++23sXz58ky7sLBQ8AoAAADAd57gNUeOOuqorPbUqVMrPXbNmjXx/vvv73S+3VWvXr1o3779btc2ZcqUrHaHDh28zAoAAACA7zzBa46cffbZWe3XX3+90mMnTZoUZWVlmXbXrl2jRYsWSZW2R7Vte+0555yTQEUAAAAAULsJXnPkrLPOigYNGmTaU6dOjU8++aRSY0eMGJHVvuiii5Isbbv5HnnkkSgvL9/luPLy8nj00UertTYAAAAAqI0Erzmyzz77RL9+/bL67rzzzl2OmzVrVjz99NOZdlFRUVx++eWJ1tarV69o27Ztpv35559vF6juyKOPPhqLFi3KtNu3bx89evRItDYAAAAAqI0Erzl0yy23RJ06dTLtESNGxHPPPVfh9evXr4/BgwfHxo0bM31XXnnldmeybiuVSmX92dXRAYWFhTF06NCsvhtuuCHmz59f4Zj58+fH9ddfn9X3xz/+MQoK/CcFAAAAAFKyHGrXrl1cd911WX39+vWLv/zlL1nhakTExx9/HKeddlrWy6sOPPDAuPnmm6ulth//+Mdx4oknZtorVqyI7t27x0svvbTdtRMmTIhu3brF119/nenr3r179O/fv1pqAwAAAIDapijfBXzX3HHHHTFz5swYP358RESUlpbGtddeG7fddlscc8wxsd9++8XcuXPjvffei3Q6nRlXt27dePrpp6Nly5bVUldBQUE8/fTTcdJJJ8WCBQsiIuKLL76Is846Kzp06BBHHnlkpNPpmDlzZpSUlGSNbdOmTTz11FORSqWqpTYAAAAAqG0ErzlWWFgYY8aMiauuuipGjx6d6V+6dGm8+OKLOxzTvHnzGDlyZPTq1ataa2vZsmW8/PLLcemll8aMGTMy/bNnz47Zs2fvcMwxxxwTo0ePjhYtWlRrbQAAAABQmwhe86Bhw4YxatSo6NevX9x9993x1ltv7fC6Aw44IPr37x9Dhw6NZs2a5aS2jh07xrRp0+Luu++OBx98MObOnbvD69q3bx9XXXVV/M//+T+zzq0FIKJZs2ZZR8Pk6u9wAICaxD0R8F2XSm/9PDt5MW/evHjvvfdi8eLFsWbNmjjooIPisMMOix49ekTdunXzWtu7774bs2bNisWLF0dExMEHHxwdO3aMY489Nq91AQAAAEBNJngFAAAAAEhYQb4LAAAAAADY2wheAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFAAAAAEiY4BUAAAAAIGGCVwAAAACAhAleAQAAAAASJngFgBqirKwsxo4dm+8yAAAASEBRvgsAgO+6mTNnxrBhw+LRRx+NFStWRFlZWb5LAgAAYA8JXgEgD1atWhVPPPFEFBcXx9tvvx0REel0OlKpVJ4rAwAAIAmCVwDIoUmTJsWwYcNi7NixsW7duogQuAIARESUl5fHokWLMu3WrVvnsRqAPSd4BYBqtmTJkhgxYkQMHz48SkpKImJz2BoRkUqlIpVKZdotW7bMW50AAPn0+eefR7t27SJi8z2S45eA2k7wCgDVoLy8PJ5//vkYNmxYvPjii1FeXr7DsDWdTkfjxo3j4osvjssvvzxOOeWUPFcOAJA/W+6XAPYGglcASNCnn34aw4YNi0ceeSSWLl0aEdm7W7e069evH+eff35cfvnlce6550bdunXzVjMAAADJE7wCwB5au3ZtjB49OoYNGxZTp06NiO2PEtjSl0ql4r777ouBAwdGw4YN81YzAAAA1UvwCgC7aerUqTFs2LAYM2ZMrFmzJiL+Fa5ue5TAN998kxl3wQUXCF0BAAD2coJXAKiCZcuWxcMPPxzDhg2LTz/9NCJ2/KKsgoKCOOOMM2LQoEHRp0+f2GefffJZNgAAADkmeAWAXUin0/HCCy/EsGHDYty4cVFWVlbhi7I6deoUAwcOjAEDBsTBBx+c58oBAPbcww8/nJN1li9fnpN1AHIllfbKQADYoTlz5kRxcXGMHDkyvvjii4jI3t265etGjRrFj370oxg0aFB069Zth3MVFBRkxs2bNy9at26dg58AAGDPFRQUZM6sz4UtRzeVl5fnbE2A6mDHKwBUoEOHDlkB69a7W1OpVJx++ukxaNCguOiii6J+/fp5rhYAoHrlYt9WLgNegOomeAWAXdjyASCdTkeHDh0yRwkccsghea4MACB3tv6FNAC7JngFgF3YssP1ggsuiPvvvz9atWqV75IAAHJm612ojRs3ju9///vVss769etj2rRp1TI3QD444xUAKrCj88wKCgoyRwz06dMn6tWrV+m5IpzxCgDUPp06dYqSkpJIp9NxyCGHxIIFC6plnfnz50e7du0iIpzxCuwVCvJdAADUVK1atYp0Op31SF15eXm89NJLcfnll8dBBx0Uv/jFL2Lq1Kl5rBIAoHodf/zxmfuhRYsWxbJly6plHee7AnsbwSsAVGDBggUxfvz46Nu3b9SpUydz5EDE5uMHVq5cGX/729+iZ8+eccQRR8Qdd9wRixYtynPVAADJOu6447Lab7/9dp4qAahdBK8AUIFUKhVnnXVWPPnkk7Fo0aK4++67o0uXLpkdH1uHsLNmzYrf//730aZNmzjrrLNi1KhRsWHDhnyWDwCQiOOPPz4i/nXvI3gFqBzBKwBUwoEHHhjXX399fPDBB/HWW2/FVVddFQ0bNswKYdPpdJSXl8crr7wSP/7xj+Oggw6Kn//8544iAABqta5du0ZhYWGm/c4771Treo4cAPYWXq4FALtp7dq1MWbMmCguLo7JkydHRPYu2K3bW/q8XAsAqI2+973vxcyZMyMiokWLFrF48eLE1/jss8+ibdu2EeHlWsDeQfAKAAmYPXt2PPTQQ/HII4/EkiVLIiI7hN2yIzaVSkWfPn1i4MCBce6550ZRUVE+ywYAqJRrrrkmnnjiiUz7k08+iRYtWiS6xpo1a2Ls2LGZ9sCBAxOdHyDXBK8AkKDy8vJ4/vnno7i4OMaPHx9lZWUVPi7XuHHj6Nu3b1x++eXRu3fv3BYKAABAtRK8AkA1+fLLL2PEiBExfPjwmDVrVkRUfBTBwQcfHJdeemlcdtllccwxx+SnYAAAABIjeAWAHJg8eXI89NBDMXbs2Fi7dm1E7DiETaVSUVZWlrc6AQAASIbgFQByaPXq1fH4449HcXFxTJ8+PSK2PwvWiyQAAABqP8ErAOTJzJkz46GHHorHHnssli9fHhHe4AsAALC3ELwCQJ6VlpbGs88+Gw899FC88sorjhoAAADYCwheAaAG+fzzz+OQQw7JdxkAAADsIcErAAAAAEDCivJdAAAAAFBz3XPPPXlZ94YbbsjLugBJseMVAAAAqFBBQUGkUqmcr+uFo0BtZ8crAORZeXl5LFq0KNNu3bp1HqsBANixXO7bykfQC5A0wSsAVNK0adPi0Ucfjddeey0WL14cGzdujJYtW8YJJ5wQF110UVx88cVRUFBQ5Xk///zzaNeuXURs/pBRVlaWdOkAAHukukPXrYNWD+YCewtHDQDALqxduzZ+/vOfx2OPPRYR238Y2PJBoX379vHnP/85zj777CrN/9lnn0Xbtm0zc3msDgCoSYYOHVqt8//zn/+MZ555JnNPlU6n3RMBewXBKwDsxOrVq+Occ86JKVOmZALXHT36tvX3fvazn8W9994bdevWrdQaglcA4LtowYIF8fvf/z6eeOKJrF9sC16BvUXVn4cEgO+Q6667Lt58882IiKxdGNv+SaVSkUqlIp1Ox9/+9rfo1atXfPXVV/ksHQCgRlqxYkXccMMN0alTp3j88cdj06ZNme+l0+k44ogj4u9//3seKwRIhh2vAFCBN998M3r16pUVuB533HFxzTXXRNeuXaOoqChKSkriySefjKeeeirWr1+fCV8jIrp06RKvvvpqtGjRYqfr2PEKAHwXrFu3Lu6555646667YtWqVZlfXkdsvs9q1apV3HzzzTFkyJDdOjcfoKYRvAJABfr37x9PPvlkRGwORH/961/HHXfcscNrFy5cGNdcc02MGzcuK3zt0KFDTJw4MVq1alXhOoJXAGBvtmnTpvjb3/4Wt956a3z55ZdZRzSl0+lo3Lhx/Pa3v43rrrsu6tevn+dqAZIjeAWAHdi4cWPsv//+UVpaGhERF110UYwdO3aX4/7jP/4jfvOb32TC03Q6HW3bto1XX3012rRps8MxglcAYG81duzY+P3vfx8lJSXbBa7169ePX/7yl/G73/0umjRpkudKAZJn7z4A7MCMGTNi48aNmQ8IFe103da///u/x/PPPx/77bdfRGz+YDFv3rw4+eSTY86cOdVWLwBATfLaa6/FiSeeGP3794/Zs2dnHSuQSqVi0KBBMWvWrLjrrruErsBeS/AKADvwySefRMTmDwZdunSJww8/vNJjzzzzzHjttdeiWbNmmTkWLlwYJ598cnz66afVUi8AQE3w/vvvxznnnBOnn356vPPOO9ud43rBBRfE+++/H8XFxXHIIYfkuVqA6iV4BYAd+PrrrzNfd+zYscrju3btGm+88UYcfPDBEbE5fF28eHGcfPLJ8dFHHyVWJwBATTB//vz4yU9+Esccc0y89NJL2x0r0L1795g0aVI8++yz0aVLlzxXC5AbglcA2IG1a9dmvt7dlzx07Ngx3njjjWjdunVEbP7gsXTp0ujdu3e8//77idQJAJBPX331Vfz7v/97dO7cOR5//PHYtGlTRPwrcD3iiCPi6aefjsmTJ0ePHj3yXC1AbgleAWAH9t9//8zXy5Yt2+152rZtG2+88Ua0a9cuIjZ/CFm+fHmceuqp8d577+1xnQAA+bB27dq47bbbon379nHffffFhg0bIuJfgWurVq3ioYceig8++CAuvPDCPFcLkB+CVwDYgYMOOijz9bx58/ZorkMPPTTeeOON6NixY+acsxUrVsRpp50W06dP39NSAQBypry8PB544IE4/PDD45Zbbolvv/02c3+TTqejUaNGcccdd8Ts2bNjyJAhUVAgdgC+u/wNCAA70Llz54jY/BKIuXPnxhdffLFH87Vs2TJef/316NKlS+bDycqVK+OMM86IyZMnJ1EyAEC1GjNmTHTu3Dl+9atfxZIlS7JenFWvXr349a9/HXPnzo3f/OY3Ua9evTxXC5B/qfSWE68BgIzS0tJo3LhxrF+/PiIiiouLY+DAgXs871dffRWnnXZavP/++5mdIUVFRVFeXp758FJeXr7H6wAAJGXixIlx4403xrvvvrvdS7MKCwtj4MCBMXTo0GjVqlWeKwWoWQSvAFCBM844I1599dVIpVLRq1eveP311xOZ9+uvv47TTz89ZsyYkfnQsvX/Cl4BgJqkoKBgu3uWiIgLL7wwbr/99syTQgBkE7wCQAXuuOOO+N3vfhcRm3d1fPLJJ9GhQ4dE5l65cmWcddZZMX369MwjeoJXAKAm2hK8RvzrfqVPnz7Ro0ePal33hhtuqNb5Aaqb4BUAKvDpp59G586dMx80rrjiihg5cmRi869evTrOPffcmDx5sh2vAECNtfWO1y223B9VJ/dEQG0neAWAnejRo0fMmjUrIiKKiopi2rRp0bp168TmX7duXfzwhz+MV199NSJC8AoA1Dhb73jdorqiBL+MBvYmglcAyLPS0tJYvHhxpn3YYYflsRoAgGwFBQU5X1PwCuwNivJdAAB819WpU0fYCgDUWDfffHO+SwColex4BQAAAABIWO6fFwCAWqKwsDAKCwujqKgoFixYkO9yAAAAqEUcNQAAFfBQCAAAALvLjlcA2Ilt3+ALAAAAlSF4BYCdsOsVAACA3SF4BQAAAABImDNeAQAAgAo999xzma/PPPPMqF+/frWss2zZsrj66qsjYvNxT3//+9+rZR2AXEmlPUMJADtUULD5wZBUKhXz5s2L1q1b57kiAIDcKygoyJx7X5l7ot0NUD/77LNo27ZtZq3y8vI9qBog/+x4BQAAAHYqnU5X+qWja9eujWeeeWa3X1JalbUAajJnvAIAAAA7tTtBqAdsge86wSsAAACwU0JUgKpz1AAAVMKiRYtytpazZAEAAGo/wSsA7EQqlYp0Oh09e/bM2XplZWU5WQsAAIDqI3gFgErweB0AAABVIXgFgErIxZt1hbsAAAB7D8ErAFSCUBQAAICqELwCwE6k0+lIpVIxb948L70CAACg0gryXQAAAAAAwN5G8AoAAAAAkDDBKwAAAABAwgSvAAAAAAAJ83ItAAAAYKdSqVRERLz11lsxf/78nV67ZMmSrPakSZMinU7vco1txwHUdql0Zf72A4DvoIKCzQ+GpFKpmDdvXrRu3TrPFQEA5F5BQUGkUqlIp9OZAHZXto4aKjtm67GpVCrKy8urNA6gprHjFQAAANilLeFrZa/doir7vaoa0gLUZIJXANgJN/8AAP+yO/dG7qeA7yrBKwDsRFUeqQMA2Bu1bt3a/RDAbhC8AkAFfvCDH2Q+ZNSvXz/P1QAA5MeuXqYFwI55uRYAAAAAQMIK8l0AAAAAAMDeRvAKAAAAAJAwZ7wCQAXeeOONvKz7gx/8IC/rAgAAkBxnvAJABQoKCnL+Bt9UKhVlZWU5XRMAAIDk2fEKALvgd5QAAABUleAVAHZhy65XASwA8F3Url27nK+ZSqVizpw5OV8XIEmCVwDYhXQ6HXXr1o1evXpF/fr1810OAEBOzZ8/P1KpVE5/CZ3r454AqoMzXgGgAtue8dqoUaO47LLLYvDgwXHcccflsTIAgNzJ9bn36XQ6UqlUlJeX52xNgOogeAWACjRs2DDWrl0bEdvvujjqqKNi8ODBccUVV0TTpk3zUR4AQE5sHbzmKkIQvAJ7A8ErAFRgzZo18cQTT8Tw4cNj6tSp230/lUpFnTp14rzzzovBgwfHueeeGwUFBXmoFACg+mwJXrccv3TBBRfEkCFD4oQTTqjWdQ888MBqnR+gugleAaASZs2aFQ899FA8+uijsWTJkoiIzAeQLTtAWrRoEQMGDIjBgwdHp06d8lkuAEBiKjpqoEuXLjFkyJC44oorolmzZnmoDKBmE7wCQBWUl5fHCy+8EMXFxTFu3LgoKyvL+v6WDyUnnnhiXHnlldG/f/9o2LBhPkoFAEhEcXFxDB8+PN58883tvpdKpaKoqCjOPffcGDJkSJx77rlRWFiYhyoBah7BKwDspqVLl8bIkSNjxIgR8fHHH0fE9rtgGzRoEP369YvBgwfHySefnM9yAQD2yOzZs2PYsGHxyCOPxBdffBER29/7NG/ePAYMGBCDBg2Kzp0757NcgLwTvAJAAt56660YNmxYjBkzJlatWhUR238Qadu2bQwePDgGDBgQhx56aD7LBQDYbZs2bYrx48dHcXFxPP/881FaWpr1/S33PieccEIMGTIkLr300thvv/3yUSpAXgleASBB69atizFjxsTw4cPjjTfeiIh/BbBbvk6lUnH66afHsGHDolWrVvksFwBgjyxfvjzzBNDMmTMjYsdPAPXt2zcGDRoUp5xySj7LBcgpwSsAVJM5c+ZkHsdbtGhR1vdSqVRMmjQpunfvnqfqAACSNX369MwTQCtXroyI7UPYww47LAYPHhwDBw6M1q1b57NcgGoneAWAarZp06b4+9//Hj//+c/jm2++yXz4ELwCAHuj9evXx5NPPhnDhw+P//7v/45tY4ctTwCdcsopceWVV0bfvn2jTp06eaoWoPoIXgGgGk2aNCmGDx8eY8eOjTVr1kRECF4BgO+MefPmZZ4AWrhw4Xbfd08E7M0K8l0AAOxtFi1aFLfffnt07NgxevfuHSNHjozVq1dHRGR2fDRq1CiaNGmSzzIBAKpd27Zt449//GPMnz8/xo8fH5dccknUq1cvc/QAwN6sKN8FAMDeYOPGjfHMM8/E8OHD45VXXolNmzZt91hdRMRpp50WQ4YMiYsvvjjq1auXh0oBAHIvlUpFgwYNokGDBlFYWJjvcgByQvAKAHvgvffei+HDh8cTTzwRX3/9dURE1gskIiLatGkTgwYNikGDBnmJBADwnfL555/HyJEjY8SIETF37tx8lwOQU4JXAKiir776Kh599NEYPnx4fPDBBxHxr7B1yy7X+vXrx0UXXRRDhgyJU089NZ/lAgDk1MaNG+Ppp5+O4uLimDhx4g6fBCooKIjTTz89hgwZEieccEKeKgWoXoJXAKiETZs2xfjx46O4uDjGjRsXpaWlEZG9uzWdTsfxxx8fQ4YMicsuuyz233//fJYMAJBT7777bhQXF8eoUaPim2++iYjtnwRq27Zt5kmgQw89NE+VAuSG4BUAduLTTz+N4uLieOSRR+LLL7+MiO13tzZr1iyuuOKKGDJkSHTp0iWf5QIA5NTy5cvjkUceieHDh8fMmTMjYsdPAvXt2zeGDBkSvXv3zmO1ALkleAWACnTv3j2mTZsWEbHd43GFhYVx9tlnx5AhQ+L888+PoiL/pAIA3w2bNm2KcePGxfDhw2PcuHFRVlYWEds/CXTiiSfGkCFD4tJLL4399tsvnyUD5EUqvaNXLgMAUVBQsF3fEUccEUOGDImf/OQn0aJFizxUBQCQHx9//HEMHz48Hn300QqfBGrRokXmSaDOnTvns1yAvBO8AkAFCgoKMh8k6tatG+eff35079692te94YYbqn0NAIDK+tvf/hbDhw+P6dOnR8T2TwIVFRXFueeeG0OGDInzzjsvCgsL81EmQI0jeAWACmwdvG79UojqVl5enrO1AAB2Zet7oq117tw5Bg8eHAMGDIjmzZvnqTqAmkvwCgAV2PIhY4vq/Cdz64BX8AoA1CQ7egpoyJAhcdJJJ1XrugcccEC1zg9Q3QSvAFCBHZ3xWt0ErwBATZOPp4BSqVTmpV0AtZVXMANABW6++eZ8lwAAUGNsCV3t3wKoHDteAQAAgApte/xSdXP8ErC3sOMVAGqQ0tLSqFOnTr7LAADIaN26dU6DV4C9hR2vAFCBXJ5jFhGxcePGuPjii+P555/P2ZoAAABUj9y/NQQAaomf/vSnOVurrKws+vbtG+PHj8/ZmgAAAFQfwSsAVKC4uDh++9vfVvs6paWl0bdv3xg3bly1rwUAAEBuCF4BYCf+9Kc/xR133FFt85eVlcWPfvQjxwsAAADsZZzxCgAVKCjY/PvJVCoVf/3rXxM/eqCsrCz69+8fTz/9dKRSKW/wBQAA2IvY8QoAO7ElEL3mmmti7Nixic1bXl4el112WSZ03eKyyy5LbA0AAADyR/AKABW4/PLLs3ahXnHFFfHyyy/v8bxbQte///3vmdA1nU7HpZdeGo888sgezw8AAED+OWoAACpQXl4effr0iXHjxmV2vu67777xyiuvxIknnrjbc/74xz+OMWPGZIWuP/rRj+KJJ57I2v0KAABA7SV4BYCdWL9+fZx11lkxadKkTPjapEmTeOONN+LII4+s0lybNm2KK664IkaNGpUVuvbr1y9GjRqVOVMWAACA2k/wCgC7sGrVqujdu3fMmDEjE74efPDBMXny5GjTpk2l5ti0aVMMGDAgHn/88azQtW/fvjFq1KgoLCysxp8AAACAXBO8AkAlLF++PHr27BmzZ8+OiM2hafv27WPSpElx0EEH7XRsOp2OgQMHxqOPPpoVuvbp0yeefPJJoSsAAMBeyDONAFAJTZs2jZdffjlatWoVERGpVCrmzJkTZ599dqxcubLCcel0OgYPHrxd6HrhhRfGmDFjhK4AAAB7KcErAFTSoYceGi+//HI0bdo0IjaHrx988EGcd955sW7duu2uT6fTceWVV8bDDz+cFbqef/758eSTT0ZRUVFO6wcAACB3BK8AUAWdOnWK8ePHx3777RcRm4PUqVOnRt++faOsrCxzXTqdjp/+9KcxYsSIrND1vPPOi7FjxwpdAQAA9nKCVwCoomOOOSaeffbZqFevXuZlWxMmTIgrrrgic83PfvazKC4uzgpdzz777Hjqqaeibt26+SodAACAHPFyLQDYTc8//3xcfPHFUV5eHul0OlKpVPz0pz+NdDodDz74YFboetZZZ8UzzzwT9erVy3PVAAAA5ILgFQD2wGOPPRYDBgyIiMiEr1t/nU6n44wzzojnnntO6AoAAPAd4qgBANgDP/7xj+PPf/5zVtC69dennnpq5lgCAAAAvjsErwCwh375y1/G0KFDt9vxesopp8Tzzz8f9evXz3OFAAAA5JqjBgCgAm+88UaVrv9f/+t/xaRJkyIiolWrVvHggw/GPvvsU+V1f/CDH1R5DAAAADWL4BUAKlBQUJDZwVpZW/5Zreq4LVKpVJSVle3WWAAAAGqOonwXAAA1XVV+R7n1UQMAAAB8dwleAWAXdmf36u6MEdYCAADsPQSvAFCB1q1b7/aRAQAAAHy3OeMVAAAAACBhBfkuAAAAAABgbyN4BQAAAABImOAVAAAAACBhglcAAAAAgIQJXgEAAAAAEiZ4BQAAAABImOAVAAAAACBhglcAAAAAgIQJXgEAAAAAEiZ4BQAAAABImOAVAAAAACBhglcAAAAAgIQJXgEAAAAAEiZ4BQAAAABImOAVAAAAACBhglcAAAAAgIQJXgEAYBtt2rSJVCqV9addu3axcePGPZ5r+fLl1VAxAAA1jeAVAAAqYd68efHXv/4132UAAFBLCF4BAKCS/vjHP8aqVavyXQYAALWA4BUAACpp2bJl8ac//SnfZQAAUAsIXgEAoAruueee+PLLL/NdBgAANZzgFQAAdqFPnz6Zr1evXh233npr/ooBAKBWELwCAMAuDB06NBo0aJBpP/jgg1FSUpLHigAAqOmK8l0AAADUdAcffHBcd911cccdd0RERGlpafzhD3+IUaNGVfvaq1atijfffDMWLVoUy5Yti3r16kXz5s2jc+fO0bVr10ilUomvN2nSpFi4cGGsWLEimjRpEu3bt4+ePXtmhc+7K51Ox4wZM+LTTz+NZcuWxZo1a6Jp06ZxyCGHRM+ePWO//fZL4KcAAMi/VDqdTue7CAAAqEnatGkTn332Waa9bNmyqFOnTrRr1y5WrFgRERGpVCrefvvtOPbYY6s8V9OmTXdZw5QpU+LWW2+NiRMnRmlp6Q6vad68efzkJz+Jm266KQ488MDK/GjRu3fv+O///u9Me8vHgUWLFsXvfve7GDt2bKxdu3a7cfXr14+rr746br755mjSpEml1trawoUL4/bbb4+xY8fG8uXLd3hNnTp14vTTT49bb701jjvuuCqvAQBQkzhqAAAAKqFRo0Zx0003ZdrpdDp++9vfJr5OaWlpXHnlldGjR4+YMGFChaFrRMTSpUvj7rvvjvbt28d//dd/7faaL7zwQnz/+9+Phx9+eIeha0TE+vXr4957743u3bvHwoULqzT/nXfeGR06dIi//vWvFYauEZt/9vHjx8cJJ5wQv/nNb8IeEQCgNrPjFQAAtlHRLtUNGzZEx44dY8GCBZnvvfTSS3HGGWdUea4dKS0tjfPOOy9efvnlrP6ioqI4/vjj49BDD41169bFRx99FHPmzMm6prCwMIqLi2PAgAE7/dm23fE6efLkOO2002LDhg0REdGiRYs45phjokmTJvHNN9/EtGnT4quvvsqao1u3bjF58uQoKNj5Po5NmzbFkCFDYuTIkVn9BQUFcfTRR0ebNm1i3333jWXLlsX06dNj5cqVWdcNHDgwRowYsdM1AABqKjteAQCgkurVqxdDhw7N6rvxxhsT25n5+9//Pit0TaVScc0118TixYtjypQpMXr06HjuueeipKQkJk+eHEcffXTm2vLy8rj66qvj/fffr9Kaffr0iQ0bNsT3vve9ePnll2PJkiXxwgsvxGOPPRbjxo2LJUuWxP/7f/8vCgsLM2OmTp0ajz322C7nvu2227JC13r16sXNN98cS5YsiX/84x/xzDPPxGOPPRYvvfRSLF++PIqLi7OOMRg5cmT853/+Z5V+HgCAmsKOVwAA2MbOdqlu2rQpvv/978eHH36Y+f7jjz8el112WZXn2to///nP6Nq1a1aI++c//zmuvfbaCutcvXp1nHHGGfHWW29l+o4//viYPn16hWO23fEaEXHKKafEf/3Xf8W+++5b4bj/+I//iOuvvz7T7tmzZ0yaNKnC66dNmxbdu3ePTZs2RUREkyZN4tVXX42uXbtWOCYiYtasWdG9e/fMLttGjRrFwoULvXQLAKh17HgFAIAqKCgoiNtvvz2r7w9/+MNOz2KtjHvuuScrdO3bt+9OQ9eIiIYNG8bo0aOzAtO333473njjjUqv27hx4xg1atROQ9eIiF/96ldx0EEHZdpvvfVWrFu3rsLrb7vttkzoGhHx2GOP7TJ0jYjo2LFjPPDAA5n2ypUr48EHH9zlOACAmkbwCgAAVXTBBRdEr169Mu25c+fu0SPxGzZsiNGjR2f1bRvuVqR169bxi1/8IquvKueiXn311dG8efNdXldUVBRnn312pl1WVhYffPDBDq+dM2dOjBs3LtM++eST45xzzql0Tf369YvDDjss037uuecqPRYAoKYQvAIAwG648847s9q33XZbrF69erfmevvttzMvt4rYfFxAx44dKz1+2xdqTZ48udJjzzvvvEpf27lz56z20qVLd3jdK6+8ktXu379/pdeI2Hy27cknn5xpT5s2LTZu3FilOQAA8q0o3wUAAEBt1K1bt7jwwgvj2WefjYjNIeSf/vSnuOWWW6o81zvvvJPV7t69e5XGH3XUUbH//vvHt99+GxERs2fPjpUrV0ajRo12ObZLly6VXmfrF19FbD4GYEe2DX6bN28e8+fPr/Q6ERH77LNP5uv169fH4sWLo02bNlWaAwAgnwSvAACwm/7v//2/8fzzz0d5eXlERNx9991xzTXXVOrR/a1tu3O0KrtdIzbvEO3YsWNWgLt06dJKBa/bhqk7U6dOnax2RefaLly4MKvdr1+/Sq9RkRUrVgheAYBaxVEDAACwmzp37hyDBg3KtFevXh233XZblef5+uuvs9qVCUy3te2YFStWVGpcQUHyHwm++uqrxOdctWpV4nMCAFQnwSsAAOyBoUOHRoMGDTLt//zP/4w5c+ZUaY50Op3VTqVSe1xXEnPsruo4j3Xb/48AAGo6wSsAAOyBVq1axbXXXptpl5aWxh/+8IcqzXHAAQdktSs6O3Vnth1TlSMEkta0adOs9uLFiyOdTu/Rn969e+fnhwEA2E2CVwAA2EM33XRTVtA5evToeO+99yo9ftszYWfNmlWl9dPpdMyePTurr1mzZlWaI0ktWrTIalf15wEA2BsIXgEAYA81btw4brrppkw7nU7HjTfeWOnxxx13XFZ7ypQpVVp/5syZWTteO3ToEI0bN67SHEnq3r17Vvull17KUyUAAPkjeAUAgARce+21ccghh2TaL7/8crzyyiuVGnvcccdFvXr1Mu3p06dvt4N1Zx555JGsds+ePSs9tjqcddZZWe1HHnkk1q9fn6dqAADyQ/AKAAAJqF+/fgwdOjSr78Ybb6zUS6Hq168fP/rRj7L6KntO7Oeffx73339/Vt/AgQMrNba6HH300XHyySdn2gsXLozbb789jxUBAOSe4BUAABIycODAOPLIIzPtd999NxYsWFCpsddff32kUqlMe8yYMfHAAw/sdMyaNWuif//+sXr16kzfsccemxV65sv/+T//J+vnue222+Ivf/lLleeZNm1azJgxI8nSAAByQvAKAAAJKSws3O2dnV27do0bbrghq++Xv/xl/I//8T/iq6++2u76qVOnRs+ePbPOg61Xr1489NBDu7V+0nr06BG33HJLVt+1114b55xzTrz++uuxadOmHY5Lp9PxySefxF133RUnnHBCnHTSSfHPf/4zBxUDACSrKN8FAADA3uSHP/xh9OjRI958880qj7399ttjxowZMXHixIjYHELed9998cADD8SJJ54YhxxySKxfvz5mzpwZJSUlWWMLCgri/vvvj3/7t39L4sdIxP/+3/87li1blrXT9cUXX4wXX3wxGjVqFF27do1mzZpFnTp14ttvv42lS5fGRx99lLWDFwCgthK8AgBAwu68887desFV3bp1Y/z48fHTn/40Hn744Ux/WVnZToPc/fffP0aOHBl9+vTZnXKr1X333RfHH398XHvttfHtt99m+leuXBmvv/76LscXFBREo0aNqrFCAIDq4agBAABIWI8ePeKHP/zhbo2tW7dujBw5MiZNmhRnnHFG1KlTp8JrmzVrFtdff33MmTOnRoauWwwYMCAWLFgQt99+e3Tq1GmX19evXz9OPfXUuOuuu2LBggVx0UUX5aBKAIBkpdKVec0qAACQF6tWrYpJkybFokWLYvny5VGvXr1o1qxZdO7cOY499tisF1jVFl988UVMnz49li5dGitWrIhNmzbFfvvtFwcddFB06tQpOnXqFHXr1s13mQAAe0TwCgAAAACQMEcNAAAAAAAkTPAKAAAAAJAwwSsAAAAAQMIErwAAAAAACRO8AgAAAAAkTPAKAAAAAJAwwSsAAAAAQMIErwAAAAAACRO8AgAAAAAkTPAKAAAAAJAwwSsAAAAAQMIErwAAAAAACRO8AgAAAAAkTPAKAAAAAJAwwSsAAAAAQMIErwAAAAAACRO8AgAAAAAkTPAKAAAAAJAwwSsAAAAAQMIErwAAAAAACRO8AgAAAAAkTPAKAAAAAJAwwSsAAAAAQMIErwAAAAAACRO8AgAAAAAkTPAKAAAAAJAwwSsAAAAAQMIErwAAAAAACRO8AgAAAAAkTPAKAAAAAJAwwSsAAAAAQMIErwAAAAAACRO8AgAAAAAkTPAKAAAAAJAwwSsAAAAAQMIErwAAAAAACfv/AHKibyhXtzMsAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 1500x1500 with 1 Axes>"
       ]
@@ -171,8 +143,8 @@
     }
    ],
    "source": [
-    "paths, input_node1_id, input_node2_id, result1, result2, result_parsed1, result_parsed2, result_ranked_by_primary_infores1, result_ranked_by_primary_infores2 = TCT.Path_finder(input_node1='NCBIGene:3458', #IFNG\n",
-    "                                                                                                                                                                                input_node2= 'MONDO:0100096', #COVID-19\n",
+    "paths, input_node1_id, input_node2_id, result1, result2, result_parsed1, result_parsed2, result_ranked_by_primary_infores1, result_ranked_by_primary_infores2 = TCT.Path_finder(input_node1='PUBCHEM.COMPOUND:132212657', #IFNG\n",
+    "                                                                                                                                                                                input_node2= 'MONDO:0018874', #COVID-19\n",
     "                                                                                                                                                                                intermediate_categories=['biolink:Protein', 'biolink:Gene' ], \n",
     "                                                                                                                                                                                APInames=select_APIs, \n",
     "                                                                                                                                                                                metaKG=selected_metaKG, \n",
@@ -181,28 +153,61 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
-    "intermediate_node = name_resolver.lookup('IDO2', only_taxa='NCBITaxon:9606').curie\n",
-    "\n"
+    "path_finder_result = TCT_pathfinder.parse_results_for_pathfinder('PUBCHEM.COMPOUND:132212657', 'MONDO:0018874', result1=result1, result2=result2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "dict_keys(['query_graph', 'knowledge_graph', 'results', 'auxiliary_graphs'])"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "path_finder_result.keys()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[{'resource_id': 'infores:diseases', 'resource_role': 'primary_knowledge_source'}, {'resource_id': 'infores:rtx-kg2', 'resource_role': 'aggregator_knowledge_source', 'upstream_resource_ids': ['infores:diseases']}]\n"
+      "[{'resource_id': 'infores:automat-robokop', 'resource_role': 'aggregator_knowledge_source', 'upstream_resource_ids': ['infores:pharos']}, {'resource_id': 'infores:disgenet', 'resource_role': 'primary_knowledge_source', 'upstream_resource_ids': []}, {'resource_id': 'infores:pharos', 'resource_role': 'aggregator_knowledge_source', 'upstream_resource_ids': ['infores:disgenet']}]\n",
+      "[{'resource_id': 'infores:automat-robokop', 'resource_role': 'aggregator_knowledge_source', 'upstream_resource_ids': ['infores:pharos']}, {'resource_id': 'infores:monarchinitiative', 'resource_role': 'primary_knowledge_source', 'upstream_resource_ids': []}, {'resource_id': 'infores:pharos', 'resource_role': 'aggregator_knowledge_source', 'upstream_resource_ids': ['infores:monarchinitiative']}]\n",
+      "[{'resource_id': 'infores:automat-robokop', 'resource_role': 'aggregator_knowledge_source', 'upstream_resource_ids': ['infores:pharos']}, {'resource_id': 'infores:eram', 'resource_role': 'primary_knowledge_source', 'upstream_resource_ids': []}, {'resource_id': 'infores:pharos', 'resource_role': 'aggregator_knowledge_source', 'upstream_resource_ids': ['infores:eram']}]\n",
+      "[{'resource_id': 'infores:automat-robokop', 'resource_role': 'aggregator_knowledge_source', 'upstream_resource_ids': ['infores:pharos']}, {'resource_id': 'infores:ctd', 'resource_role': 'primary_knowledge_source', 'upstream_resource_ids': []}, {'resource_id': 'infores:pharos', 'resource_role': 'aggregator_knowledge_source', 'upstream_resource_ids': ['infores:ctd']}]\n",
+      "[{'resource_id': 'infores:ctd', 'resource_role': 'primary_knowledge_source'}, {'resource_id': 'infores:pharos', 'resource_role': 'aggregator_knowledge_source', 'upstream_resource_ids': ['infores:ctd']}, {'resource_id': 'infores:automat-pharos', 'resource_role': 'aggregator_knowledge_source', 'upstream_resource_ids': ['infores:pharos']}]\n",
+      "[{'resource_id': 'infores:disgenet', 'resource_role': 'primary_knowledge_source'}, {'resource_id': 'infores:pharos', 'resource_role': 'aggregator_knowledge_source', 'upstream_resource_ids': ['infores:disgenet']}, {'resource_id': 'infores:automat-pharos', 'resource_role': 'aggregator_knowledge_source', 'upstream_resource_ids': ['infores:pharos']}]\n",
+      "[{'resource_id': 'infores:eram', 'resource_role': 'primary_knowledge_source'}, {'resource_id': 'infores:pharos', 'resource_role': 'aggregator_knowledge_source', 'upstream_resource_ids': ['infores:eram']}, {'resource_id': 'infores:automat-pharos', 'resource_role': 'aggregator_knowledge_source', 'upstream_resource_ids': ['infores:pharos']}]\n",
+      "[{'resource_id': 'infores:monarchinitiative', 'resource_role': 'primary_knowledge_source'}, {'resource_id': 'infores:pharos', 'resource_role': 'aggregator_knowledge_source', 'upstream_resource_ids': ['infores:monarchinitiative']}, {'resource_id': 'infores:automat-pharos', 'resource_role': 'aggregator_knowledge_source', 'upstream_resource_ids': ['infores:pharos']}]\n",
+      "[{'resource_id': 'infores:diseases', 'resource_role': 'primary_knowledge_source'}, {'resource_id': 'infores:rtx-kg2', 'resource_role': 'aggregator_knowledge_source', 'upstream_resource_ids': ['infores:diseases']}]\n",
+      "[{'resource_id': 'infores:disgenet', 'resource_role': 'primary_knowledge_source'}, {'resource_id': 'infores:rtx-kg2', 'resource_role': 'aggregator_knowledge_source', 'upstream_resource_ids': ['infores:disgenet']}]\n",
+      "[{'resource_id': 'infores:semmeddb', 'resource_role': 'primary_knowledge_source'}, {'resource_id': 'infores:rtx-kg2', 'resource_role': 'aggregator_knowledge_source', 'upstream_resource_ids': ['infores:semmeddb']}]\n",
+      "[{'resource_id': 'infores:semmeddb', 'resource_role': 'primary_knowledge_source'}, {'resource_id': 'infores:rtx-kg2', 'resource_role': 'aggregator_knowledge_source', 'upstream_resource_ids': ['infores:semmeddb']}]\n",
+      "[{'resource_id': 'infores:biothings-explorer', 'resource_role': 'primary_knowledge_source'}]\n"
      ]
     }
    ],
    "source": [
+    "intermediate_node = name_resolver.lookup('KMT2A', only_taxa='NCBITaxon:9606').curie\n",
+    "\n",
     "matches2 = []\n",
     "for k in result2.keys():\n",
     "    if input_node2_id == result2[k]['subject'] and intermediate_node == result2[k]['object']:\n",
@@ -216,15 +221,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[{'resource_id': 'infores:string', 'resource_role': 'primary_knowledge_source'}, {'resource_id': 'infores:monarchinitiative', 'resource_role': 'aggregator_knowledge_source', 'upstream_resource_ids': ['infores:string']}, {'resource_id': 'infores:service-provider-trapi', 'resource_role': 'aggregator_knowledge_source', 'upstream_resource_ids': ['infores:monarchinitiative']}]\n",
-      "[{'resource_id': 'infores:string', 'resource_role': 'primary_knowledge_source'}, {'resource_id': 'infores:monarchinitiative', 'resource_role': 'aggregator_knowledge_source', 'upstream_resource_ids': ['infores:string']}, {'resource_id': 'infores:biothings-explorer', 'resource_role': 'aggregator_knowledge_source', 'upstream_resource_ids': ['infores:monarchinitiative']}]\n"
+      "[{'resource_id': 'infores:ncit', 'resource_role': 'primary_knowledge_source'}, {'resource_id': 'infores:rtx-kg2', 'resource_role': 'aggregator_knowledge_source', 'upstream_resource_ids': ['infores:ncit']}]\n"
      ]
     }
    ],
@@ -242,7 +246,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -266,55 +270,47 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>predicate</th>\n",
-       "      <th>subject</th>\n",
-       "      <th>object</th>\n",
        "      <th>attributes</th>\n",
+       "      <th>object</th>\n",
+       "      <th>predicate</th>\n",
        "      <th>sources</th>\n",
+       "      <th>subject</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>biolink:interacts_with</td>\n",
-       "      <td>NCBIGene:169355</td>\n",
-       "      <td>NCBIGene:3458</td>\n",
-       "      <td>[{'attribute_type_id': 'biolink:knowledge_leve...</td>\n",
-       "      <td>[{'resource_id': 'infores:string', 'resource_r...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>biolink:interacts_with</td>\n",
-       "      <td>NCBIGene:169355</td>\n",
-       "      <td>NCBIGene:3458</td>\n",
-       "      <td>[{'attribute_type_id': 'biolink:knowledge_leve...</td>\n",
-       "      <td>[{'resource_id': 'infores:string', 'resource_r...</td>\n",
+       "      <td>[{'attribute_source': 'infores:rtx-kg2', 'attr...</td>\n",
+       "      <td>NCBIGene:4297</td>\n",
+       "      <td>biolink:physically_interacts_with</td>\n",
+       "      <td>[{'resource_id': 'infores:ncit', 'resource_rol...</td>\n",
+       "      <td>PUBCHEM.COMPOUND:132212657</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                predicate          subject         object  \\\n",
-       "0  biolink:interacts_with  NCBIGene:169355  NCBIGene:3458   \n",
-       "1  biolink:interacts_with  NCBIGene:169355  NCBIGene:3458   \n",
+       "                                          attributes         object  \\\n",
+       "0  [{'attribute_source': 'infores:rtx-kg2', 'attr...  NCBIGene:4297   \n",
+       "\n",
+       "                           predicate  \\\n",
+       "0  biolink:physically_interacts_with   \n",
        "\n",
-       "                                          attributes  \\\n",
-       "0  [{'attribute_type_id': 'biolink:knowledge_leve...   \n",
-       "1  [{'attribute_type_id': 'biolink:knowledge_leve...   \n",
+       "                                             sources  \\\n",
+       "0  [{'resource_id': 'infores:ncit', 'resource_rol...   \n",
        "\n",
-       "                                             sources  \n",
-       "0  [{'resource_id': 'infores:string', 'resource_r...  \n",
-       "1  [{'resource_id': 'infores:string', 'resource_r...  "
+       "                      subject  \n",
+       "0  PUBCHEM.COMPOUND:132212657  "
       ]
      },
-     "execution_count": 9,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "\n",
+    "import pandas as pd\n",
     "\n",
     "# Create a DataFrame from the matches\n",
     "df = pd.DataFrame(matches)\n",
@@ -325,481 +321,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import lmstudio as lms\n",
-    "model = lms.llm(\"openai/gpt-oss-120b\")\n",
-    "input_text = str(result1) + 'and '+str(result2)\n",
-    "question = \"summarize the path that go over NCBIGene:23411 between NCBIGene:2739 and CHEBI:45713\" "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "result = model.respond(\"find the path between NPC1 and WNT7B\" )"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "00ee9af51b5347c4b1749e85de17137d",
+       "version_major": 2,
+       "version_minor": 0
+      },
       "text/plain": [
-       "PredictionResult(content='<|channel|>analysis<|message|>We need to answer likely about a network of interactions? Provide path maybe gene interaction. Use known pathways: NPC1 interacts with cholesterol transport; WNT7B is ligand in Wnt signaling. Path could be via LDLR, β-catenin etc. Provide plausible molecular path.<|end|><|start|>assistant<|channel|>final<|message|>**Short answer:**  \\nA biologically plausible route that connects the lysosomal‑cholesterol transporter **NPC1** to the secreted morphogen **WNT7B** runs through the intracellular cholesterol/oxysterol sensing machinery (SREBP‑2, LXRα/β) → transcriptional regulators of Wnt ligand expression (e.g.,\\u202fTCF/LEF, β‑catenin) → a feedback loop that modulates WNT7B secretion.  \\n\\nBelow is a step‑by‑step “path” that stitches together the best‑supported molecular links from the literature and public interaction databases (STRING, BioGRID, Reactome, Gene Ontology).  Each edge is annotated with the type of evidence (physical binding, genetic/functional association, co‑expression, or curated pathway) and a key reference.\\n\\n---\\n\\n## 1️⃣ Overview Diagram  \\n\\n```\\nNPC1 ──► Cholesterol trafficking ──► SREBP‑2 activation\\n      │                                   │\\n      ▼                                   ▼\\n   Lysosomal cholesterol ↑            Oxysterol → LXRα/β\\n      │                                   │\\n      ▼                                   ▼\\n   ER membrane sterols  ◄───────►  LXR target genes (e.g., ABCA1)\\n      │                                   │\\n      ▼                                   ▼\\n   SREBP‑2 & LXR crosstalk ──► Transcription of Wnt pathway regulators\\n      │                                   │\\n      ▼                                   ▼\\n   ↑ expression of **TCF7L2**, **β‑catenin** stabilizers (e.g., **AXIN2**) \\n      │                                   │\\n      ▼                                   ▼\\n   β‑catenin nuclear accumulation ──► Direct transcriptional activation of **WNT7B**\\n```\\n\\n---\\n\\n## 2️⃣ Detailed Stepwise Path\\n\\n| # | Interaction / Event | Molecular Players | Evidence Type & Source |\\n|---|----------------------|--------------------|------------------------|\\n| 1 | **NPC1‑mediated cholesterol egress** | NPC1 (lysosomal membrane) → Cholesterol to ER | Direct biochemical assays; loss‑of‑function causes lysosomal cholesterol accumulation (Vanier, *Nat Rev Dis Primers* 2022). |\\n| 2 | **ER cholesterol sensing → SREBP‑2 activation** | Low ER sterol → SCAP escorts inactive SREBP‑2 to Golgi → proteolysis → active nuclear SREBP‑2 | Classic pathway; reviewed in Brown & Goldstein, *Cell* 1997. |\\n| 3 | **SREBP‑2 transcriptional program** | Up‑regulates HMGCR, LDLR, PCSK9; also induces **INSIG1/2**, which modulate SREBP processing (feedback). | ChIP‑seq & RNA‑seq data (ENCODE, HepG2 cells). |\\n| 4 | **Cholesterol‑derived oxysterols activate LXRα/β** | 24S‑hydroxycholesterol, 27‑hydroxycholesterol bind LXRs → heterodimerize with RXR → transcription of target genes (ABCA1, ABCG1). | Ligand binding assays; LXR knockout mice show altered Wnt signaling (Pei et\\u202fal., *J Lipid Res* 2020). |\\n| 5 | **Crosstalk between SREBP‑2 and LXR pathways** | LXR activation can suppress SREBP‑2 processing via up‑regulation of INSIGs; conversely, low cholesterol (high SREBP‑2) reduces LXR target expression. This balance controls cellular sterol homeostasis and indirectly modulates Wnt ligand transcription. | Systems‑biology models (Miller et\\u202fal., *PLoS Comput Biol* 2019). |\\n| 6 | **Sterol/LXR signaling influences TCF/LEF transcription factors** | LXR activation has been shown to increase expression of **TCF7L2** and co‑activators (e.g., **BCL9**) in intestinal epithelial cells; SREBP‑2 can bind promoters of **β‑catenin** stabilizers such as **AXIN2**. | RNA‑seq of LXR‑agonist treated mouse colon (Gao et\\u202fal., *Gut* 2021). |\\n| 7 | **Stabilization / nuclear accumulation of β‑catenin** | Reduced degradation complex activity (via AXIN2 down‑regulation) → β‑catenin escapes proteasome, translocates to nucleus. | Standard Wnt pathway textbooks; verified in cholesterol‑depleted fibroblasts (Zhang et\\u202fal., *J Cell Sci* 2018). |\\n| 8 | **β‑catenin/TCF complex directly drives WNT7B transcription** | Chromatin immunoprecipitation shows β‑catenin/TCF binding to a conserved TCF‑responsive element ~1.2\\u202fkb upstream of the human **WNT7B** transcription start site. | ChIP‑seq in HEK293 cells (Sanchez et\\u202fal., *Nat Commun* 2020). |\\n| 9 | **Secretion of WNT7B** | PORCN-mediated palmitoylation → Wntless (WLS) transport to plasma membrane → release into extracellular space. | Well‑established canonical Wnt secretion steps; WNT7B follows same route (Willert & Nusse, *Cell* 2012). |\\n\\n---\\n\\n## 3️⃣ Putting It All Together  \\n\\n1. **Loss of NPC1** (e.g., in Niemann‑Pick type C) leads to **cholesterol buildup in lysosomes**, reducing the sterol pool that reaches the ER.\\n2. The **ER senses low cholesterol**, activating **SREBP‑2** which up‑regulates genes for cholesterol synthesis and uptake, while simultaneously **reducing LXR activity** (because oxysterol ligands are scarce).\\n3. This shift **tilts the transcriptional balance toward SREBP‑driven programs** that include modest activation of β‑catenin stabilizers (AXIN2 suppression) and TCF7L2 expression.\\n4. Consequently, **β‑catenin accumulates in the nucleus**, forming a complex with TCF/LEF factors that can bind directly to the **WNT7B promoter** and drive its transcription.\\n5. The newly synthesized **WNT7B** is then palmitoylated by PORCN, trafficked via WLS, and secreted—completing the functional link from NPC1 status to extracellular Wnt signaling.\\n\\n---\\n\\n## 4️⃣ Alternative / Supporting Routes  \\n\\n| Alternate node | Rationale |\\n|----------------|-----------|\\n| **NPC1 → Caveolin‑1 (CAV1)** | NPC1 deficiency alters plasma‑membrane lipid rafts, influencing CAV1 which can modulate β‑catenin stability (Zhao et\\u202fal., *Mol Cell Biol* 2019). |\\n| **NPC1 → mTORC1** | Cholesterol transport to lysosomes is required for amino‑acid‑dependent activation of mTORC1; mTORC1 can phosphorylate GSK3β, inhibiting β‑catenin degradation (Liu et\\u202fal., *Cell Metab* 2020). |\\n| **NPC1 → SREBP‑1c** | In certain contexts, NPC1 loss also perturbs fatty‑acid synthesis via SREBP‑1c, which can indirectly affect Wnt ligand expression through metabolic reprogramming (Kim et\\u202fal., *FASEB J* 2022). |\\n\\nThese branches are **not required** for the minimal path but may reinforce or modulate the signal in specific cell types (e.g., neuronal progenitors, intestinal epithelium).\\n\\n---\\n\\n## 5️⃣ Quick “One‑Line” Path Summary  \\n\\n```\\nNPC1 ↓ → ER cholesterol ↓ → SREBP‑2 activation ↑ → LXR signaling ↓ → TCF7L2/β‑catenin nuclear accumulation ↑ → direct transcriptional activation of WNT7B → WNT7B secretion.\\n```\\n\\n---\\n\\n### References (selected)\\n\\n1. Vanier, M.T. *Nat Rev Dis Primers* 2022 – NPC disease mechanisms.  \\n2. Brown, M.S., Goldstein, J.L. *Cell* 1997 – SREBP pathway.  \\n3. Pei, R. et\\u202fal. *J Lipid Res* 2020 – LXR and Wnt crosstalk.  \\n4. Miller, A. et\\u202fal. *PLoS Comput Biol* 2019 – Integrated sterol‑Wnt network model.  \\n5. Gao, Y. et\\u202fal. *Gut* 2021 – LXR agonist up‑regulates TCF7L2.  \\n6. Sanchez, P. et\\u202fal. *Nat Commun* 2020 – β‑catenin ChIP‑seq on WNT7B promoter.  \\n7. Willert, K., Nusse, R. *Cell* 2012 – PORCN/WLS in Wnt secretion.  \\n\\n*(All references are publicly accessible via PubMed or preprint servers.)*\\n\\n---\\n\\n**Bottom line:** The most parsimonious mechanistic route from NPC1 to WNT7B runs through sterol‑sensing transcription factors (SREBP‑2 and LXR), which modulate the β‑catenin/TCF transcriptional hub that directly drives **WNT7B** expression. This pathway is supported by a combination of biochemical, genetic, and systems‑level data.')"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>score</th>\n",
-       "      <th>output_node</th>\n",
-       "      <th>predictes1</th>\n",
-       "      <th>predictes2</th>\n",
-       "      <th>output_node_name</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>TNF</th>\n",
-       "      <td>0.400000</td>\n",
-       "      <td>NCBIGene:7124</td>\n",
-       "      <td>biolink:coexpressed_with; biolink:regulates; b...</td>\n",
-       "      <td>biolink:genetically_associated_with; biolink:g...</td>\n",
-       "      <td>TNF</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>RSAD2</th>\n",
-       "      <td>0.300000</td>\n",
-       "      <td>NCBIGene:91543</td>\n",
-       "      <td>biolink:coexpressed_with; biolink:affects; bio...</td>\n",
-       "      <td>biolink:associated_with; biolink:gene_associat...</td>\n",
-       "      <td>RSAD2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>ICAM1</th>\n",
-       "      <td>0.266667</td>\n",
-       "      <td>NCBIGene:3383</td>\n",
-       "      <td>biolink:coexpressed_with; biolink:physically_i...</td>\n",
-       "      <td>biolink:gene_associated_with_condition; biolin...</td>\n",
-       "      <td>ICAM1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>CD4</th>\n",
-       "      <td>0.266667</td>\n",
-       "      <td>NCBIGene:920</td>\n",
-       "      <td>biolink:coexpressed_with; biolink:affected_by;...</td>\n",
-       "      <td>biolink:genetically_associated_with; biolink:r...</td>\n",
-       "      <td>CD4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>IRF1</th>\n",
-       "      <td>0.266667</td>\n",
-       "      <td>NCBIGene:3659</td>\n",
-       "      <td>biolink:coexpressed_with; biolink:physically_i...</td>\n",
-       "      <td>biolink:gene_associated_with_condition; biolin...</td>\n",
-       "      <td>IRF1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>IL26</th>\n",
-       "      <td>0.033333</td>\n",
-       "      <td>NCBIGene:55801</td>\n",
-       "      <td>biolink:coexpressed_with</td>\n",
-       "      <td>biolink:gene_associated_with_condition</td>\n",
-       "      <td>IL26</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>CLDN5</th>\n",
-       "      <td>0.033333</td>\n",
-       "      <td>NCBIGene:7122</td>\n",
-       "      <td>biolink:coexpressed_with</td>\n",
-       "      <td>biolink:gene_associated_with_condition</td>\n",
-       "      <td>CLDN5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>OXT</th>\n",
-       "      <td>0.033333</td>\n",
-       "      <td>NCBIGene:5020</td>\n",
-       "      <td>biolink:affects; biolink:regulates</td>\n",
-       "      <td>biolink:gene_associated_with_condition</td>\n",
-       "      <td>OXT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>MS4A2</th>\n",
-       "      <td>0.033333</td>\n",
-       "      <td>NCBIGene:2206</td>\n",
-       "      <td>biolink:coexpressed_with</td>\n",
-       "      <td>biolink:gene_associated_with_condition</td>\n",
-       "      <td>MS4A2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>CEBPA</th>\n",
-       "      <td>0.033333</td>\n",
-       "      <td>NCBIGene:1050</td>\n",
-       "      <td>biolink:affects; biolink:regulates</td>\n",
-       "      <td>biolink:gene_associated_with_condition</td>\n",
-       "      <td>CEBPA</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>897 rows × 5 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "          score     output_node  \\\n",
-       "TNF    0.400000   NCBIGene:7124   \n",
-       "RSAD2  0.300000  NCBIGene:91543   \n",
-       "ICAM1  0.266667   NCBIGene:3383   \n",
-       "CD4    0.266667    NCBIGene:920   \n",
-       "IRF1   0.266667   NCBIGene:3659   \n",
-       "...         ...             ...   \n",
-       "IL26   0.033333  NCBIGene:55801   \n",
-       "CLDN5  0.033333   NCBIGene:7122   \n",
-       "OXT    0.033333   NCBIGene:5020   \n",
-       "MS4A2  0.033333   NCBIGene:2206   \n",
-       "CEBPA  0.033333   NCBIGene:1050   \n",
-       "\n",
-       "                                              predictes1  \\\n",
-       "TNF    biolink:coexpressed_with; biolink:regulates; b...   \n",
-       "RSAD2  biolink:coexpressed_with; biolink:affects; bio...   \n",
-       "ICAM1  biolink:coexpressed_with; biolink:physically_i...   \n",
-       "CD4    biolink:coexpressed_with; biolink:affected_by;...   \n",
-       "IRF1   biolink:coexpressed_with; biolink:physically_i...   \n",
-       "...                                                  ...   \n",
-       "IL26                            biolink:coexpressed_with   \n",
-       "CLDN5                           biolink:coexpressed_with   \n",
-       "OXT                   biolink:affects; biolink:regulates   \n",
-       "MS4A2                           biolink:coexpressed_with   \n",
-       "CEBPA                 biolink:affects; biolink:regulates   \n",
-       "\n",
-       "                                              predictes2 output_node_name  \n",
-       "TNF    biolink:genetically_associated_with; biolink:g...              TNF  \n",
-       "RSAD2  biolink:associated_with; biolink:gene_associat...            RSAD2  \n",
-       "ICAM1  biolink:gene_associated_with_condition; biolin...            ICAM1  \n",
-       "CD4    biolink:genetically_associated_with; biolink:r...              CD4  \n",
-       "IRF1   biolink:gene_associated_with_condition; biolin...             IRF1  \n",
-       "...                                                  ...              ...  \n",
-       "IL26              biolink:gene_associated_with_condition             IL26  \n",
-       "CLDN5             biolink:gene_associated_with_condition            CLDN5  \n",
-       "OXT               biolink:gene_associated_with_condition              OXT  \n",
-       "MS4A2             biolink:gene_associated_with_condition            MS4A2  \n",
-       "CEBPA             biolink:gene_associated_with_condition            CEBPA  \n",
-       "\n",
-       "[897 rows x 5 columns]"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "paths"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>score</th>\n",
-       "      <th>output_node</th>\n",
-       "      <th>predictes1</th>\n",
-       "      <th>predictes2</th>\n",
-       "      <th>output_node_name</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>TNF</th>\n",
-       "      <td>0.400000</td>\n",
-       "      <td>NCBIGene:7124</td>\n",
-       "      <td>biolink:coexpressed_with; biolink:regulates; b...</td>\n",
-       "      <td>biolink:genetically_associated_with; biolink:g...</td>\n",
-       "      <td>TNF</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>RSAD2</th>\n",
-       "      <td>0.300000</td>\n",
-       "      <td>NCBIGene:91543</td>\n",
-       "      <td>biolink:coexpressed_with; biolink:affects; bio...</td>\n",
-       "      <td>biolink:associated_with; biolink:gene_associat...</td>\n",
-       "      <td>RSAD2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>ICAM1</th>\n",
-       "      <td>0.266667</td>\n",
-       "      <td>NCBIGene:3383</td>\n",
-       "      <td>biolink:coexpressed_with; biolink:physically_i...</td>\n",
-       "      <td>biolink:gene_associated_with_condition; biolin...</td>\n",
-       "      <td>ICAM1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>CD4</th>\n",
-       "      <td>0.266667</td>\n",
-       "      <td>NCBIGene:920</td>\n",
-       "      <td>biolink:coexpressed_with; biolink:affected_by;...</td>\n",
-       "      <td>biolink:genetically_associated_with; biolink:r...</td>\n",
-       "      <td>CD4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>IRF1</th>\n",
-       "      <td>0.266667</td>\n",
-       "      <td>NCBIGene:3659</td>\n",
-       "      <td>biolink:coexpressed_with; biolink:physically_i...</td>\n",
-       "      <td>biolink:gene_associated_with_condition; biolin...</td>\n",
-       "      <td>IRF1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>IL26</th>\n",
-       "      <td>0.033333</td>\n",
-       "      <td>NCBIGene:55801</td>\n",
-       "      <td>biolink:coexpressed_with</td>\n",
-       "      <td>biolink:gene_associated_with_condition</td>\n",
-       "      <td>IL26</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>CLDN5</th>\n",
-       "      <td>0.033333</td>\n",
-       "      <td>NCBIGene:7122</td>\n",
-       "      <td>biolink:coexpressed_with</td>\n",
-       "      <td>biolink:gene_associated_with_condition</td>\n",
-       "      <td>CLDN5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>OXT</th>\n",
-       "      <td>0.033333</td>\n",
-       "      <td>NCBIGene:5020</td>\n",
-       "      <td>biolink:affects; biolink:regulates</td>\n",
-       "      <td>biolink:gene_associated_with_condition</td>\n",
-       "      <td>OXT</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>MS4A2</th>\n",
-       "      <td>0.033333</td>\n",
-       "      <td>NCBIGene:2206</td>\n",
-       "      <td>biolink:coexpressed_with</td>\n",
-       "      <td>biolink:gene_associated_with_condition</td>\n",
-       "      <td>MS4A2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>CEBPA</th>\n",
-       "      <td>0.033333</td>\n",
-       "      <td>NCBIGene:1050</td>\n",
-       "      <td>biolink:affects; biolink:regulates</td>\n",
-       "      <td>biolink:gene_associated_with_condition</td>\n",
-       "      <td>CEBPA</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>897 rows × 5 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "          score     output_node  \\\n",
-       "TNF    0.400000   NCBIGene:7124   \n",
-       "RSAD2  0.300000  NCBIGene:91543   \n",
-       "ICAM1  0.266667   NCBIGene:3383   \n",
-       "CD4    0.266667    NCBIGene:920   \n",
-       "IRF1   0.266667   NCBIGene:3659   \n",
-       "...         ...             ...   \n",
-       "IL26   0.033333  NCBIGene:55801   \n",
-       "CLDN5  0.033333   NCBIGene:7122   \n",
-       "OXT    0.033333   NCBIGene:5020   \n",
-       "MS4A2  0.033333   NCBIGene:2206   \n",
-       "CEBPA  0.033333   NCBIGene:1050   \n",
-       "\n",
-       "                                              predictes1  \\\n",
-       "TNF    biolink:coexpressed_with; biolink:regulates; b...   \n",
-       "RSAD2  biolink:coexpressed_with; biolink:affects; bio...   \n",
-       "ICAM1  biolink:coexpressed_with; biolink:physically_i...   \n",
-       "CD4    biolink:coexpressed_with; biolink:affected_by;...   \n",
-       "IRF1   biolink:coexpressed_with; biolink:physically_i...   \n",
-       "...                                                  ...   \n",
-       "IL26                            biolink:coexpressed_with   \n",
-       "CLDN5                           biolink:coexpressed_with   \n",
-       "OXT                   biolink:affects; biolink:regulates   \n",
-       "MS4A2                           biolink:coexpressed_with   \n",
-       "CEBPA                 biolink:affects; biolink:regulates   \n",
-       "\n",
-       "                                              predictes2 output_node_name  \n",
-       "TNF    biolink:genetically_associated_with; biolink:g...              TNF  \n",
-       "RSAD2  biolink:associated_with; biolink:gene_associat...            RSAD2  \n",
-       "ICAM1  biolink:gene_associated_with_condition; biolin...            ICAM1  \n",
-       "CD4    biolink:genetically_associated_with; biolink:r...              CD4  \n",
-       "IRF1   biolink:gene_associated_with_condition; biolin...             IRF1  \n",
-       "...                                                  ...              ...  \n",
-       "IL26              biolink:gene_associated_with_condition             IL26  \n",
-       "CLDN5             biolink:gene_associated_with_condition            CLDN5  \n",
-       "OXT               biolink:gene_associated_with_condition              OXT  \n",
-       "MS4A2             biolink:gene_associated_with_condition            MS4A2  \n",
-       "CEBPA             biolink:gene_associated_with_condition            CEBPA  \n",
-       "\n",
-       "[897 rows x 5 columns]"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "paths"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "'NFE2L2' in paths['output_node_name']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "forplot = TCT.visulize_path(input_node1_id, name_resolver.lookup('HOXB7', only_taxa='NCBITaxon:9606').curie, input_node2_id, result1, result2) "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "CHEBI:83766\n",
-      "NCBIGene:672\n",
-      "CATRAX Pharmacogenomics KP - TRAPI 1.5.0: Success!\n",
-      "Automat-ctd(Trapi v1.5.0): Success!\n",
-      "Automat-pharos(Trapi v1.5.0): Success!\n",
-      "Automat-drug-central(Trapi v1.5.0): Success!\n",
-      "Automat-cam-kp(Trapi v1.5.0): Success!\n",
-      "RTX KG2 - TRAPI 1.5.0: Success!\n",
-      "CATRAX BigGIM DrugResponse Performance Phase KP - TRAPI 1.5.0: Success!\n",
-      "Automat-binding-db(Trapi v1.5.0): Success!\n",
-      "Automat-robokop(Trapi v1.5.0): Success!\n",
-      "Service Provider TRAPI: Success!\n",
-      "BioThings Explorer (BTE) TRAPI: Success!\n",
-      "CATRAX Pharmacogenomics KP - TRAPI 1.5.0: Success!\n",
-      "Automat-genome-alliance(Trapi v1.5.0): Success!\n",
-      "Automat-hetionet(Trapi v1.5.0): Success!\n",
-      "Automat-cam-kp(Trapi v1.5.0): Success!\n",
-      "RTX KG2 - TRAPI 1.5.0: Success!\n",
-      "CATRAX BigGIM DrugResponse Performance Phase KP - TRAPI 1.5.0: Success!\n",
-      "Automat-robokop(Trapi v1.5.0): Success!\n",
-      "Service Provider TRAPI: Success!\n",
-      "BioThings Explorer (BTE) TRAPI: Success!\n",
-      "NodeNorm does not know about these identifiers: NCBIGene:NaN,NCBIGene:8205,TTD.TARGET:T17228,TTD.TARGET:T83059,TTD.TARGET:T34867\n",
-      "NodeNorm does not know about these identifiers: orphanet:119068\n",
-      "Number of possible paths:  336\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/yzhang/Translator_component_toolkit/TCT/TCT.py:1631: UserWarning: set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
-      "  ax.set_xticklabels(ax.get_xticklabels(), rotation=90, ha=\"center\", fontsize=fontsize)\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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AAPgJAl8AAAAAAAAA8BMEvgAAAAAAAADgJwh8AQAAAAAAAMBPEPgCAAAAAAAAgJ8g8AUAAAAAAAAAP0HgCwAAAAAAAAB+gsAXAAAAAAAAAPwEgS8AAAAAAAAA+AkCXwAAAAAAAADwE/8PxrbE137HZ00AAAAASUVORK5CYII=\n",
-      "text/plain": [
-       "<Figure size 1500x1500 with 1 Axes>"
+       "CytoscapeWidget(cytoscape_layout={'name': 'cola', 'title': 'Path', 'nodeSpacing': 80, 'edgeLengthVal': 50}, cy…"
       ]
      },
      "metadata": {},
@@ -807,21 +340,7 @@
     }
    ],
    "source": [
-    "paths, input_node1_id, input_node2_id, result1, result2, result_parsed1, result_parsed2, result_ranked_by_primary_infores1, result_ranked_by_primary_infores2 = TCT.Path_finder('CHEBI:83766', #'Olaparib' \n",
-    "                                                                                                                                                                                'NCBIGene:672', #'BRCA1' \n",
-    "                                                                                                                                                                                ['biolink:Gene', 'biolink:Protein'], \n",
-    "                                                                                                                                                                                APInames=select_APIs, \n",
-    "                                                                                                                                                                                metaKG=selected_metaKG, \n",
-    "                                                                                                                                                                                API_predicates=API_predicates)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "forplot = TCT.visulize_path(input_node1_id, name_resolver.lookup('IDO2', only_taxa='NCBITaxon:9606').curie, input_node2_id, result1, result2) "
+    "forplot = TCT.visulize_path(input_node1_id, name_resolver.lookup('KMT2A', only_taxa='NCBITaxon:9606').curie, input_node2_id, result1, result2) "
    ]
   },
   {
@@ -835,7 +354,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "my-rdkit-env",
    "language": "python",
    "name": "python3"
   },
@@ -849,7 +368,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.19"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/individual_endpoint_overview.ipynb b/notebooks/individual_endpoint_overview.ipynb
new file mode 100644
index 0000000..f320865
--- /dev/null
+++ b/notebooks/individual_endpoint_overview.ipynb
@@ -0,0 +1,514 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "23613c49",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "from TCT import name_resolver\n",
+    "from TCT import translator_metakg\n",
+    "from TCT import translator_kpinfo\n",
+    "from TCT import TCT\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import requests"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "df9f0bfb",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Skipping server without x-maturity: {'url': '/arax'}\n",
+      "Skipping server without x-maturity: {'url': '/sipr'}\n",
+      "Skipping server without x-maturity: {'url': '/aragorn'}\n",
+      "Skipping server without x-maturity: {'url': '/bte'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "Translator_KP_info, APInames = translator_kpinfo.get_translator_kp_info()\n",
+    "metaKG = translator_metakg.get_KP_metadata(APInames)\n",
+    "  \n",
+    "APInames, metaKG = translator_metakg.add_plover_API(APInames, metaKG)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "03e493ee",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'ARAX Translator Reasoner - TRAPI 1.6.0',\n",
+       " 'Answer-coalesce(Trapi v1.5.0)',\n",
+       " 'Aragorn(Trapi v1.5.0)',\n",
+       " 'Aragorn(Trapi v1.6.0)',\n",
+       " 'Automat-binding-db(Trapi v1.5.0)',\n",
+       " 'Automat-cam-kp(Trapi v1.5.0)',\n",
+       " 'Automat-ctd(Trapi v1.5.0)',\n",
+       " 'Automat-drug-central(Trapi v1.5.0)',\n",
+       " 'Automat-ehr-clinical-connections-kp(Trapi v1.5.0)',\n",
+       " 'Automat-ehr-may-treat-kp(Trapi v1.5.0)',\n",
+       " 'Automat-genome-alliance(Trapi v1.5.0)',\n",
+       " 'Automat-gtex(Trapi v1.5.0)',\n",
+       " 'Automat-gtopdb(Trapi v1.5.0)',\n",
+       " 'Automat-gwas-catalog(Trapi v1.5.0)',\n",
+       " 'Automat-hetionet(Trapi v1.5.0)',\n",
+       " 'Automat-hgnc(Trapi v1.5.0)',\n",
+       " 'Automat-hmdb(Trapi v1.5.0)',\n",
+       " 'Automat-human-goa(Trapi v1.5.0)',\n",
+       " 'Automat-icees-kg(Trapi v1.5.0)',\n",
+       " 'Automat-intact(Trapi v1.5.0)',\n",
+       " 'Automat-monarchinitiative(Trapi v1.5.0)',\n",
+       " 'Automat-panther(Trapi v1.5.0)',\n",
+       " 'Automat-pharos(Trapi v1.5.0)',\n",
+       " 'Automat-reactome(Trapi v1.5.0)',\n",
+       " 'Automat-robokop(Trapi v1.5.0)',\n",
+       " 'Automat-string-db(Trapi v1.5.0)',\n",
+       " 'Automat-ubergraph(Trapi v1.5.0)',\n",
+       " 'Automat-viral-proteome(Trapi v1.5.0)',\n",
+       " 'Autonomous Relay System (ARS) TRAPI',\n",
+       " 'BioThings Explorer (BTE) TRAPI',\n",
+       " 'CATRAX BigGIM DrugResponse Performance Phase KP - TRAPI 1.5.0',\n",
+       " 'CATRAX Pharmacogenomics KP - TRAPI 1.5.0',\n",
+       " 'COHD TRAPI',\n",
+       " 'Clinical Trials KP - TRAPI 1.5.0',\n",
+       " 'Connections Hypothesis Provider API',\n",
+       " 'Cqs(Trapi v1.5.0)',\n",
+       " 'Drug Approvals KP - TRAPI 1.5.0',\n",
+       " 'Gene-List Network Enrichment Analysis',\n",
+       " 'Genetics Data Provider for NCATS Biomedical Translator Reasoners',\n",
+       " 'Knowledge Collaboratory API',\n",
+       " 'Microbiome KP - TRAPI 1.5.0',\n",
+       " 'MolePro',\n",
+       " 'Multiomics KP - TRAPI 1.5.0',\n",
+       " 'OpenPredict API',\n",
+       " 'RTX KG2 - TRAPI 1.5.0',\n",
+       " 'Retriever',\n",
+       " 'SPOKE KP for TRAPI 1.5',\n",
+       " 'Service Provider TRAPI',\n",
+       " 'Shepherd ARAX',\n",
+       " 'Shepherd Aragorn',\n",
+       " 'Shepherd BTE',\n",
+       " 'Shepherd SIPR',\n",
+       " 'Sri-answer-appraiser(Trapi v1.5.0)',\n",
+       " 'Sri-node-normalizer(Trapi v1.5.0)',\n",
+       " 'Text Mined Cooccurrence API',\n",
+       " 'Workflow-runner(Trapi v1.5.0)',\n",
+       " 'imProving Agent for TRAPI 1.5',\n",
+       " 'mediKanren'}"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "set(Translator_KP_info['title'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "76312120",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>title</th>\n",
+       "      <th>prod_url</th>\n",
+       "      <th>ci_url</th>\n",
+       "      <th>test_url</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>https://smart-api.info/ui/7a12feb2fbd8fe4af532...</td>\n",
+       "      <td>Retriever</td>\n",
+       "      <td>None</td>\n",
+       "      <td>https://retriever.ci.transltr.io/query/</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                   id      title prod_url  \\\n",
+       "17  https://smart-api.info/ui/7a12feb2fbd8fe4af532...  Retriever     None   \n",
+       "\n",
+       "                                     ci_url test_url  \n",
+       "17  https://retriever.ci.transltr.io/query/     None  "
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Translator_KP_info.loc[Translator_KP_info['title'] == 'Retriever']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "e39b4d99",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'ARAX Translator Reasoner - TRAPI 1.6.0',\n",
+       " 'Answer-coalesce(Trapi v1.5.0)',\n",
+       " 'Aragorn(Trapi v1.5.0)',\n",
+       " 'Aragorn(Trapi v1.6.0)',\n",
+       " 'Automat-binding-db(Trapi v1.5.0)',\n",
+       " 'Automat-cam-kp(Trapi v1.5.0)',\n",
+       " 'Automat-ctd(Trapi v1.5.0)',\n",
+       " 'Automat-drug-central(Trapi v1.5.0)',\n",
+       " 'Automat-ehr-clinical-connections-kp(Trapi v1.5.0)',\n",
+       " 'Automat-ehr-may-treat-kp(Trapi v1.5.0)',\n",
+       " 'Automat-genome-alliance(Trapi v1.5.0)',\n",
+       " 'Automat-gtex(Trapi v1.5.0)',\n",
+       " 'Automat-gtopdb(Trapi v1.5.0)',\n",
+       " 'Automat-gwas-catalog(Trapi v1.5.0)',\n",
+       " 'Automat-hetionet(Trapi v1.5.0)',\n",
+       " 'Automat-hgnc(Trapi v1.5.0)',\n",
+       " 'Automat-hmdb(Trapi v1.5.0)',\n",
+       " 'Automat-human-goa(Trapi v1.5.0)',\n",
+       " 'Automat-icees-kg(Trapi v1.5.0)',\n",
+       " 'Automat-intact(Trapi v1.5.0)',\n",
+       " 'Automat-monarchinitiative(Trapi v1.5.0)',\n",
+       " 'Automat-panther(Trapi v1.5.0)',\n",
+       " 'Automat-pharos(Trapi v1.5.0)',\n",
+       " 'Automat-reactome(Trapi v1.5.0)',\n",
+       " 'Automat-robokop(Trapi v1.5.0)',\n",
+       " 'Automat-string-db(Trapi v1.5.0)',\n",
+       " 'Automat-ubergraph(Trapi v1.5.0)',\n",
+       " 'Automat-viral-proteome(Trapi v1.5.0)',\n",
+       " 'Autonomous Relay System (ARS) TRAPI',\n",
+       " 'BioThings Explorer (BTE) TRAPI',\n",
+       " 'CATRAX BigGIM DrugResponse Performance Phase KP - TRAPI 1.5.0',\n",
+       " 'CATRAX Pharmacogenomics KP - TRAPI 1.5.0',\n",
+       " 'COHD TRAPI',\n",
+       " 'Clinical Trials KP - TRAPI 1.5.0',\n",
+       " 'Connections Hypothesis Provider API',\n",
+       " 'Cqs(Trapi v1.5.0)',\n",
+       " 'Drug Approvals KP - TRAPI 1.5.0',\n",
+       " 'Gene-List Network Enrichment Analysis',\n",
+       " 'Genetics Data Provider for NCATS Biomedical Translator Reasoners',\n",
+       " 'Knowledge Collaboratory API',\n",
+       " 'Microbiome KP - TRAPI 1.5.0',\n",
+       " 'MolePro',\n",
+       " 'Multiomics KP - TRAPI 1.5.0',\n",
+       " 'OpenPredict API',\n",
+       " 'RTX KG2 - TRAPI 1.5.0',\n",
+       " 'Retriever',\n",
+       " 'SPOKE KP for TRAPI 1.5',\n",
+       " 'Service Provider TRAPI',\n",
+       " 'Shepherd ARAX',\n",
+       " 'Shepherd Aragorn',\n",
+       " 'Shepherd BTE',\n",
+       " 'Shepherd SIPR',\n",
+       " 'Sri-answer-appraiser(Trapi v1.5.0)',\n",
+       " 'Sri-node-normalizer(Trapi v1.5.0)',\n",
+       " 'Text Mined Cooccurrence API',\n",
+       " 'Workflow-runner(Trapi v1.5.0)',\n",
+       " 'imProving Agent for TRAPI 1.5',\n",
+       " 'mediKanren'}"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "set(Translator_KP_info['title'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "5b742882",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x1200 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import networkx as nx\n",
+    "selected_KGs = ['Retriever']\n",
+    "\n",
+    "metaKG_sele = metaKG[metaKG['API'].isin(selected_KGs)]\n",
+    "#metaKG_sele = metaKG_sele[metaKG_sele['Subject'] == 'biolink:OrganismTaxon' ] # remove the generic predicate to make the graph more interpretable\n",
+    "# build a multigraph to capture all edges (including duplicates) and their predicates\n",
+    "G = nx.MultiGraph()\n",
+    "for _, row in metaKG_sele.iterrows():\n",
+    "        G.add_edge(row['Subject'], row['Object'], predicate=row['Predicate'])\n",
+    "\n",
+    "# layout and draw nodes + edges\n",
+    "plt.figure(figsize=(12, 12))\n",
+    "pos = nx.spring_layout(G, k=0.5, iterations=20)\n",
+    "nx.draw(G, pos,\n",
+    "                with_labels=True,\n",
+    "                node_size=50,\n",
+    "                font_size=12,\n",
+    "                font_color='black',\n",
+    "                node_color='blue',\n",
+    "                edge_color='gray')\n",
+    "\n",
+    "# draw edge labels\n",
+    "edge_labels = nx.get_edge_attributes(G, 'predicate')\n",
+    "nx.draw_networkx_edge_labels(G, pos, edge_labels=edge_labels, font_size=8)\n",
+    "plt.title('Interaction Graph of Subjects and Objects in metaKG')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "ebe29ca9",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "38\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(len(set(metaKG_sele['Subject'].tolist() + metaKG_sele['Object'].tolist())))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "20137e1b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "45"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(set(metaKG_sele['Predicate']))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "23c53b9e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Predicate</th>\n",
+       "      <th>Subject</th>\n",
+       "      <th>Object</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>biolink:treated_by</td>\n",
+       "      <td>biolink:PhenotypicFeature</td>\n",
+       "      <td>biolink:MolecularMixture</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>biolink:treated_by</td>\n",
+       "      <td>biolink:PhenotypicFeature</td>\n",
+       "      <td>biolink:ChemicalEntity</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>biolink:associated_with</td>\n",
+       "      <td>biolink:ChemicalEntity</td>\n",
+       "      <td>biolink:Gene</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>biolink:treated_by</td>\n",
+       "      <td>biolink:Disease</td>\n",
+       "      <td>biolink:MolecularMixture</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>biolink:treated_by</td>\n",
+       "      <td>biolink:Disease</td>\n",
+       "      <td>biolink:ChemicalEntity</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24035</th>\n",
+       "      <td>biolink:applied_to_treat</td>\n",
+       "      <td>biolink:NamedThing</td>\n",
+       "      <td>biolink:Disease</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24036</th>\n",
+       "      <td>biolink:applied_to_treat</td>\n",
+       "      <td>biolink:NamedThing</td>\n",
+       "      <td>biolink:PhenotypicFeature</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24037</th>\n",
+       "      <td>biolink:applied_to_treat</td>\n",
+       "      <td>biolink:NamedThing</td>\n",
+       "      <td>biolink:BehavioralFeature</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24038</th>\n",
+       "      <td>biolink:applied_to_treat</td>\n",
+       "      <td>biolink:ChemicalEntity</td>\n",
+       "      <td>biolink:BehavioralFeature</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24039</th>\n",
+       "      <td>biolink:applied_to_treat</td>\n",
+       "      <td>biolink:MolecularMixture</td>\n",
+       "      <td>biolink:BehavioralFeature</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>15964 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                      Predicate                    Subject  \\\n",
+       "0            biolink:treated_by  biolink:PhenotypicFeature   \n",
+       "1            biolink:treated_by  biolink:PhenotypicFeature   \n",
+       "2       biolink:associated_with     biolink:ChemicalEntity   \n",
+       "3            biolink:treated_by            biolink:Disease   \n",
+       "4            biolink:treated_by            biolink:Disease   \n",
+       "...                         ...                        ...   \n",
+       "24035  biolink:applied_to_treat         biolink:NamedThing   \n",
+       "24036  biolink:applied_to_treat         biolink:NamedThing   \n",
+       "24037  biolink:applied_to_treat         biolink:NamedThing   \n",
+       "24038  biolink:applied_to_treat     biolink:ChemicalEntity   \n",
+       "24039  biolink:applied_to_treat   biolink:MolecularMixture   \n",
+       "\n",
+       "                          Object  \n",
+       "0       biolink:MolecularMixture  \n",
+       "1         biolink:ChemicalEntity  \n",
+       "2                   biolink:Gene  \n",
+       "3       biolink:MolecularMixture  \n",
+       "4         biolink:ChemicalEntity  \n",
+       "...                          ...  \n",
+       "24035            biolink:Disease  \n",
+       "24036  biolink:PhenotypicFeature  \n",
+       "24037  biolink:BehavioralFeature  \n",
+       "24038  biolink:BehavioralFeature  \n",
+       "24039  biolink:BehavioralFeature  \n",
+       "\n",
+       "[15964 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "metaKG[['Predicate','Subject','Object']].drop_duplicates()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "my-rdkit-env",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.19"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}