diff --git a/dsLightRag/Config/Config.py b/dsLightRag/Config/Config.py
index 6bcc5fb5..5b1a6daa 100644
--- a/dsLightRag/Config/Config.py
+++ b/dsLightRag/Config/Config.py
@@ -1,12 +1,12 @@
 # 大模型 【DeepSeek深度求索官方】
-#LLM_API_KEY = "sk-44ae895eeb614aa1a9c6460579e322f1"
-#LLM_BASE_URL = "https://api.deepseek.com"
-#LLM_MODEL_NAME = "deepseek-chat"
+# LLM_API_KEY = "sk-44ae895eeb614aa1a9c6460579e322f1"
+# LLM_BASE_URL = "https://api.deepseek.com"
+# LLM_MODEL_NAME = "deepseek-chat"
 
 # 阿里云提供的大模型服务
-LLM_API_KEY="sk-f6da0c787eff4b0389e4ad03a35a911f"
+LLM_API_KEY = "sk-f6da0c787eff4b0389e4ad03a35a911f"
 LLM_BASE_URL = "https://dashscope.aliyuncs.com/compatible-mode/v1"
-#LLM_MODEL_NAME = "qwen-plus" # 不要使用通义千问，会导致化学方程式不正确！
+# LLM_MODEL_NAME = "qwen-plus" # 不要使用通义千问，会导致化学方程式不正确！
 LLM_MODEL_NAME = "deepseek-v3"
 
 EMBED_MODEL_NAME = "BAAI/bge-m3"
@@ -15,7 +15,7 @@ EMBED_BASE_URL = "https://api.siliconflow.cn/v1"
 EMBED_DIM = 1024
 EMBED_MAX_TOKEN_SIZE = 8192
 
-
 NEO4J_URI = "bolt://localhost:7687"
 NEO4J_USERNAME = "neo4j"
-NEO4J_PASSWORD = "DsideaL147258369"
\ No newline at end of file
+NEO4J_PASSWORD = "DsideaL147258369"
+NEO4J_AUTH = (NEO4J_USERNAME, NEO4J_PASSWORD)
diff --git a/dsLightRag/Config/__pycache__/Config.cpython-310.pyc b/dsLightRag/Config/__pycache__/Config.cpython-310.pyc
index 02dba342..b06af870 100644
Binary files a/dsLightRag/Config/__pycache__/Config.cpython-310.pyc and b/dsLightRag/Config/__pycache__/Config.cpython-310.pyc differ
diff --git a/dsLightRag/T1_TrainNeo4j.py b/dsLightRag/T1_TrainNeo4j.py
index 4471c7b7..a7de6558 100644
--- a/dsLightRag/T1_TrainNeo4j.py
+++ b/dsLightRag/T1_TrainNeo4j.py
@@ -5,6 +5,8 @@ from Util.DocxUtil import get_docx_content_by_pandoc
 from Util.LightRagUtil import configure_logging, initialize_rag
 import os
 
+from Util.Neo4jExecutor import Neo4jExecutor
+
 # 数学
 KEMU = 'Chemistry'  # Chinese,Math,Chemistry
 
@@ -18,6 +20,11 @@ async def main():
     os.environ["NEO4J_USERNAME"] = NEO4J_USERNAME
     os.environ["NEO4J_PASSWORD"] = NEO4J_PASSWORD
 
+    # 清库
+    executor = Neo4jExecutor.create_default()
+    executor.graph.run("MATCH (n) DETACH DELETE n")
+    print("清库成功")
+
     # 注释掉或删除以下清理代码
     files_to_delete = [
         "graph_chunk_entity_relation.graphml",
diff --git a/dsLightRag/Topic/Chemistry/kv_store_doc_status.json b/dsLightRag/Topic/Chemistry/kv_store_doc_status.json
deleted file mode 100644
index e08658f4..00000000
--- a/dsLightRag/Topic/Chemistry/kv_store_doc_status.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
-  "doc-38dc4759f21281aec253bbbfd5249836": {
-    "status": "processed",
-    "chunks_count": 1,
-    "content": "硝酸光照分解的方程式\n$$4HNO_{3}overset{overset{}{{Delta}}}{=}4NO_{2} uparrow + O_{2} uparrow + 2HO_{2}$$\n氧化铁与硝酸的加热反应方程式\n$$FeO + 4HNO_{3}overset{overset{}{{Delta}}}{=}Fe(NO_{3})_{3} + 2H_{2} uparrow + NO_{2} uparrow$$\n氢气与氧气燃烧的现象如下图所示：\n$$2H_{2} + O_{2}overset{overset{}{text{燃烧}}}{=}2H_{2}O$$\n![](./Images/4826f1dfc6ce4ba5a294167a016b736f/media/image1.png)",
-    "content_summary": "硝酸光照分解的方程式\n$$4HNO_{3}overset{overset{}{{Delta}}}{=}4NO_{2} uparrow + O_{2} uparrow + 2HO_{2}$$\n氧化铁与硝酸的加热反应方程式\n$$FeO + 4HNO_{3}overset{overset{}{{Delta}}}{=}Fe(NO_{3})_{3} + 2H_{2} uparrow + NO_{2} uparrow$$\n氢气与氧气燃烧的现象如下图所示：\n$$2H_{2} + O_{2}overset{ov...",
-    "content_length": 344,
-    "created_at": "2025-07-11T00:25:57.391796+00:00",
-    "updated_at": "2025-07-11T00:26:52.778188+00:00",
-    "file_path": "unknown_source"
-  }
-}
\ No newline at end of file
diff --git a/dsLightRag/Topic/Chemistry/kv_store_full_docs.json b/dsLightRag/Topic/Chemistry/kv_store_full_docs.json
deleted file mode 100644
index 9884b7eb..00000000
--- a/dsLightRag/Topic/Chemistry/kv_store_full_docs.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-  "doc-38dc4759f21281aec253bbbfd5249836": {
-    "content": "硝酸光照分解的方程式\n$$4HNO_{3}overset{overset{}{{Delta}}}{=}4NO_{2} uparrow + O_{2} uparrow + 2HO_{2}$$\n氧化铁与硝酸的加热反应方程式\n$$FeO + 4HNO_{3}overset{overset{}{{Delta}}}{=}Fe(NO_{3})_{3} + 2H_{2} uparrow + NO_{2} uparrow$$\n氢气与氧气燃烧的现象如下图所示：\n$$2H_{2} + O_{2}overset{overset{}{text{燃烧}}}{=}2H_{2}O$$\n![](./Images/4826f1dfc6ce4ba5a294167a016b736f/media/image1.png)"
-  }
-}
\ No newline at end of file
diff --git a/dsLightRag/Topic/Chemistry/kv_store_text_chunks.json b/dsLightRag/Topic/Chemistry/kv_store_text_chunks.json
deleted file mode 100644
index 2673e1a4..00000000
--- a/dsLightRag/Topic/Chemistry/kv_store_text_chunks.json
+++ /dev/null
@@ -1,9 +0,0 @@
-{
-  "chunk-38dc4759f21281aec253bbbfd5249836": {
-    "tokens": 198,
-    "content": "硝酸光照分解的方程式\n$$4HNO_{3}overset{overset{}{{Delta}}}{=}4NO_{2} uparrow + O_{2} uparrow + 2HO_{2}$$\n氧化铁与硝酸的加热反应方程式\n$$FeO + 4HNO_{3}overset{overset{}{{Delta}}}{=}Fe(NO_{3})_{3} + 2H_{2} uparrow + NO_{2} uparrow$$\n氢气与氧气燃烧的现象如下图所示：\n$$2H_{2} + O_{2}overset{overset{}{text{燃烧}}}{=}2H_{2}O$$\n![](./Images/4826f1dfc6ce4ba5a294167a016b736f/media/image1.png)",
-    "chunk_order_index": 0,
-    "full_doc_id": "doc-38dc4759f21281aec253bbbfd5249836",
-    "file_path": "unknown_source"
-  }
-}
\ No newline at end of file
diff --git a/dsLightRag/Topic/Chemistry/vdb_chunks.json b/dsLightRag/Topic/Chemistry/vdb_chunks.json
deleted file mode 100644
index 3e86c56f..00000000
--- a/dsLightRag/Topic/Chemistry/vdb_chunks.json
+++ /dev/null
@@ -1 +0,0 @@
-{"embedding_dim": 1024, "data": [{"__id__": "chunk-38dc4759f21281aec253bbbfd5249836", "__created_at__": 1752193557, "content": "硝酸光照分解的方程式\n$$4HNO_{3}overset{overset{}{{Delta}}}{=}4NO_{2} uparrow + O_{2} uparrow + 2HO_{2}$$\n氧化铁与硝酸的加热反应方程式\n$$FeO + 4HNO_{3}overset{overset{}{{Delta}}}{=}Fe(NO_{3})_{3} + 2H_{2} uparrow + NO_{2} uparrow$$\n氢气与氧气燃烧的现象如下图所示：\n$$2H_{2} + O_{2}overset{overset{}{text{燃烧}}}{=}2H_{2}O$$\n![](./Images/4826f1dfc6ce4ba5a294167a016b736f/media/image1.png)", "full_doc_id": "doc-38dc4759f21281aec253bbbfd5249836", "file_path": "unknown_source"}], "matrix": "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"}
\ No newline at end of file
diff --git a/dsLightRag/Topic/Chemistry/vdb_entities.json b/dsLightRag/Topic/Chemistry/vdb_entities.json
deleted file mode 100644
index 2e6ad037..00000000
--- a/dsLightRag/Topic/Chemistry/vdb_entities.json
+++ /dev/null
@@ -1 +0,0 @@
-{"embedding_dim": 1024, "data": [{"__id__": "ent-28910c9747db991734c7c471be861a0e", "__created_at__": 1752193611, "entity_name": "Nitric Acid", "content": "Nitric Acid\nNitric Acid (HNO₃) is a chemical compound involved in photodecomposition and reaction with iron oxide under heat.", "source_id": "chunk-38dc4759f21281aec253bbbfd5249836", "file_path": "unknown_source"}, {"__id__": "ent-25da832997a0aff5c601866819f976b6", "__created_at__": 1752193611, "entity_name": "Iron Oxide", "content": "Iron Oxide\nIron Oxide (FeO) reacts with nitric acid under heat to produce iron nitrate, water, and nitrogen dioxide.", "source_id": "chunk-38dc4759f21281aec253bbbfd5249836", "file_path": "unknown_source"}, {"__id__": "ent-e4ce2ac56db8b92aa60065aee6884c25", "__created_at__": 1752193611, "entity_name": "Hydrogen", "content": "Hydrogen\nHydrogen (H₂) combusts with oxygen to form water, releasing energy in the process.", "source_id": "chunk-38dc4759f21281aec253bbbfd5249836", "file_path": "unknown_source"}, {"__id__": "ent-990bf420df89c0c6edf606be2022cbea", "__created_at__": 1752193611, "entity_name": "Oxygen", "content": "Oxygen\nOxygen (O₂) is a reactant in the combustion process with hydrogen, resulting in water formation.", "source_id": "chunk-38dc4759f21281aec253bbbfd5249836", "file_path": "unknown_source"}, {"__id__": "ent-27634ff8002b12e75d98e07ccd005d18", "__created_at__": 1752193611, "entity_name": "Water", "content": "Water\nWater (H₂O) is the product of hydrogen and oxygen combustion.", "source_id": "chunk-38dc4759f21281aec253bbbfd5249836", "file_path": "unknown_source"}, {"__id__": "ent-8956959f0a4b8b0cc0ec1276ff1ea096", "__created_at__": 1752193611, "entity_name": "Nitrogen Dioxide", "content": "Nitrogen Dioxide\nNitrogen Dioxide (NO₂) is a byproduct of nitric acid decomposition and its reaction with iron oxide.", "source_id": "chunk-38dc4759f21281aec253bbbfd5249836", "file_path": "unknown_source"}, {"__id__": "ent-acfe2ed2a788e873bfbf07a45e79d4d8", "__created_at__": 1752193611, "entity_name": "Photodecomposition", "content": "Photodecomposition\nPhotodecomposition is the chemical breakdown of nitric acid under light or heat, producing nitrogen dioxide, oxygen, and water.", "source_id": "chunk-38dc4759f21281aec253bbbfd5249836", "file_path": "unknown_source"}, {"__id__": "ent-a51930cdea9f155af953d062552f859b", "__created_at__": 1752193611, "entity_name": "Combustion", "content": "Combustion\nCombustion is the chemical reaction between hydrogen and oxygen, resulting in water formation and energy release.", "source_id": "chunk-38dc4759f21281aec253bbbfd5249836", "file_path": "unknown_source"}, {"__id__": "ent-5415e49c5d264aaf162d5c97c9e09a5f", "__created_at__": 1752193611, "entity_name": "Nitric Acid (HNO₃)", "content": "Nitric Acid (HNO₃)\nA strong mineral acid that decomposes under light or heat to produce nitrogen dioxide, oxygen, and water.", "source_id": "chunk-38dc4759f21281aec253bbbfd5249836", "file_path": "unknown_source"}, {"__id__": "ent-96a5c5c81fe10bcec1f8579e9050bf08", "__created_at__": 1752193611, "entity_name": "Iron Oxide (FeO)", "content": "Iron Oxide (FeO)\nA chemical compound that reacts with nitric acid under heat to form iron nitrate, water, and nitrogen dioxide.", "source_id": "chunk-38dc4759f21281aec253bbbfd5249836", "file_path": "unknown_source"}, {"__id__": "ent-b5618f1ba278a2bae96fc553393d859f", "__created_at__": 1752193611, "entity_name": "Hydrogen (H₂)", "content": "Hydrogen (H₂)\nA flammable gas that combusts with oxygen to form water.", "source_id": "chunk-38dc4759f21281aec253bbbfd5249836", "file_path": "unknown_source"}, {"__id__": "ent-6cfdf8f6e49825c6a29801160101d05d", "__created_at__": 1752193611, "entity_name": "Oxygen (O₂)", "content": "Oxygen (O₂)\nA reactive gas involved in combustion reactions with hydrogen.", "source_id": "chunk-38dc4759f21281aec253bbbfd5249836", "file_path": "unknown_source"}, {"__id__": "ent-dc04d2ac5f1a04f73e997d762be4224c", "__created_at__": 1752193611, "entity_name": "Water (H₂O)", "content": "Water (H₂O)\nThe product of hydrogen and oxygen combustion.", "source_id": "chunk-38dc4759f21281aec253bbbfd5249836", "file_path": "unknown_source"}, {"__id__": "ent-9bfc829880d6e09b27bbce6c27553e3d", "__created_at__": 1752193611, "entity_name": "Nitrogen Dioxide (NO₂)", "content": "Nitrogen Dioxide (NO₂)\nA reddish-brown gas produced in nitric acid decomposition and iron oxide reactions.", "source_id": "chunk-38dc4759f21281aec253bbbfd5249836", "file_path": "unknown_source"}], "matrix": 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Usbxd1Ca7otN7PFbhcbyFC/W8XNQmvEL2ArzH+M+8bkzAvGPmtbw8gxg9IDADvGYFpTxgaIc7QfYCPch4GrxvIHG91tFEPSa37jxxoLs62SVAPFas5TyuBA88UBohPbW1Qj2Nnc48mE4XPazPgj2k8mo9KNZdvPz/1bw6GQA95SoEPDXxPjpTo6g7a0MDPYAY1TuaIki8XAmzvM4/67uj03s93S4Suan7vDxdFAy9Ypv3PNCTZjySW+K8+XbOuDBzkLtKJwG8dHSBvNwufbvaD6O8cr8qvQRdo7sIGze7n5UyPBK2zbpPBO+8rm6nPC1fZb2ICwo9NSbLvNPIBz2eSvQ8KOyPumikST3MIHw8R73TvFb3Izt5hvs8GlOAPC1f5TywQti8dhOmO5vXHr1cvnS75t/FPKCVMr0ImwG8vkccPFJuHD0hWja8P9cTvMvMFT2cF4Q6iCrku7JpyzzF8ri6xwhZvT59obgN6T+83y8FvaXnxLsMUmg9zJuHvMsEMLyAYTG9JVZ1vXAcE70wwtu8V/XmPPg+orzmtbS8VlP/vPXvQjt4OZq8an7UvJNTxzz1Tdu836M9PPHyjj0TZF+8Av6QO00raLyFgQQ9E/Cmu7R/67s0Ebu8sbxTvaB3tbzNdwu8T1mXPIBWoboRt2e8oHc1vQ+LpzyBylk8pvJUOnD58zzJEow8UCoLOjZVirz2+tI7uQeKPN5ekb0T8Ka8Q6gEvLQh0zxX9WY88sOCvEeluLzeAdY7z16fvXX1Sjxr24+9fh1ivPtqYjyio/U7Uyc/uxCs17y/jTm9cJBLPWhdpLxuTPw8bLcTvRV6/ztCtHE8lmgKPd1fbjzjceW8dfVKvGp+1LsT8Ca84vIcuxG3Z7mbEjY9Y76IOzBOozsqR7y7vneZvFeBrjutBEw9gWxBvEPioDyKqng8/rnBvGHiBL0vt0u9nIZuO8Vmcb2Mwgc8lhbfu416D73EfgA8lmiKO6cI9bxQKou84+cMvfpUwjyA1Wm9AFypPDBDE7zDUNE6yr8DvYHVaTxXga68YAYBPdSg/zyUAL871U33OwFyybyx6gI8QrRxvL8BcjypNiQ9f7Q5PIIOKTxQKos8kQOLPY751zv+dJU8NTLru1gYhjwKJqg9O7qJPNDodzy2WpI6pVBtPJNeV72Z8QU8yEGYuzJv07womsS7RfjAPGwrzDy9mxW9kt8OOzbJQj3/RQk9tbgqvGgjiD0bdta9mWU+Pf9Qmb2n/WS8n9VNvTQGqzzknxS9iPLwPDrplbym8tS8/1CZPQOriLyAYTG9PnIRvcX9yLv4KAI98HQjvf+5QToAIo075Hx1PCz0s7xmGVW81U13PcafML3fjZ288SEbPbG8U7zK+Z+8X6nFvL3gwbxwhTs9iQqAPeBFpTxCtPG75XAIvXu3BTsXvs68SmjQOyM1xbsDFDE9Q0vJPMr5n7zMeOi7DZkDPBezPj2+69G7SRiUvI+FnzzITKg8cJBLPT1EYr3HCFm8+D4iPL1siTwS5Ra8RO2wvF+eNTxfnrU8htFAPHlEqjypQbS7ggMZvT5DBb0qR7w8BUBxOxJZTz3bVF69GL5Ovd5ekb2SPae9U5BnPQ2Zgzwx8Aq9S3PgPJdEjrxmR4S8BCpRurJpyzyNeg89e/yxPJp7Xr3zQks9lmiKO/iyWrsrUsy8eF0WvRwjTjx+HeI7314RPEE1KT2Sx3887mmTPF1l9jy2WpI7ycvwvO5GdD2TsAK9PnKRumguGD3Q6Hc7SmjQPPlJsrvnVxy9bpOXu7bDurz3BWM9rGJkvGsgPL1muzw9P06VPbV+jjxswiO88je7vHit0rynRAA951ecPAVYAD2Jici8TXKDOu07ZDxcWma9gfgIvRZuEj11dgI9cviWOh8tgbyy9ZK75RPNvAd5sLxswiO84LndPN32Rb1+b407rZCTPcEAFT1ONvg8iiswPRwjTj1iYc26ivETvPD+e7y/gim9L6w7Oz5ykTsomkQ89mN7unvxob39ATo9pJeIPCRLZb1YGAY9nHqBOxZuEr6ehRE84AsJPdmnZrumc4w7xf1IugLPBD1Reke9KQ79vNxU3rxtk5e9FGRfvY5Lg7yZw1Y8ZAM1PBuBZrzqg9y72HsmPNIWpzxeWQm9/0WJvLV+Dr15Cg49SLvYvGVrAL3mKW28pkSAO+86Bz0H4li4M/uau52Rfr32kaq8CBCIu6Kj9TsO9E87tX4OPVaaGr0ZYDa7vuvRuyxd3DzOsSc9oQ4NPZ7VTbxKUrC8VDJPvRR6/zyAJxU9SmhQPU42eL1BNSm92ZxWPZx6gbz4BIY8xK2MPIBhMb1036o8auf8OwoxuD0A0GG7ntVNOEcZ8bxj+CS9iH44vFpExrwvt0s8McJbvVMnPz25e0I9QkC5PPaGGr1h4gS7RzGAPNDd57z/UBk910GKO9DodzwkzBy9nHoBvZZoirz79qm9NMwOvUpoUDwuZw89zsfHPCePtDvGZRQ8VupWvILgebyiJK08SdF4PpQAPz0fLYE8S/+nPEc8kDwDH0G9YmFNPELXED0IeTA8WfSJvPVN27wP/987QZPBPL9IDb3nTAy8zlOPPe/za7rqD6Q8upHiPIs2QL1W30Y9hI1xvN4B1jxHsEi8UePvvMafsLz4PiI9mE8evNmnZjtwEQO98Swru2y3k7rrGjS8+AQGvZGx3zzc6zU9zBpQOpjO5joBZ7k9goLhvMafsLze9kW8e8IVPV5ZiTtZLqY8zyQDPI1X8DoDCaG8GBuKvPNCy7vBABW8fGVaPFEGjzzYHQ48V4EuvEJAOb2HOYw8YECdvOuO7LptNlw8SlIwO+saNDw1Mms8rgRMu86xJ71boQG9r2EHPTqMWr0FWAA9q7QPPZ2/rTw43+I86uH0vKXctDyxx+M8R6U4uzdgGj2k0aQ9q7QPvYXGsDzJEgw8zA9AvVIRn7xaRMY7eC4KPQgQCDyae948NRzLPP6usTrVQuc8gByFPF8S7jzi8hy8VDLPPBWdnrx5Cg692TOuuCpSTDscDa68HK8VPVxaZr0927m8Kke8u+2Njzwhk109YLTVO0nReLxYGAY8Q0vJvGASbj22w7q7OepyPEGpYTwHbqC8gcpZPKxiZLt/v0k65R7dPIqq+Dvx8o48Yb/lvAgQCLteB968HYAJPYvNlzxJ6Qe9T9hfPSy6F7wk1yw7sFOrPEelODzi54y8NTLrvBwjzjypQbQ8PvHZPM5Tjz0VnR48EtoGPFuhgT18kwm94ltFPCKT3bwT8Ca8FhxnO5gs/7skQNW7XpOlvDazIrzd9sW8wZhJPAmEQLxQKgs9DvRPuuLEbTxG+EC9r7FDvbFeu7yLNkC9hcawvDN647tVjwo8/AxKO0yhj7vnVxw9JUtlPO3Hqzy6keI8rO4rPXvxIb1o0dy79VjrOz7mybxefQW8vdUxvVgjFjzmexi9JNcsvUcxgDxBNSk9WIGuuryQhTzTle87SUcgvGC01Ts0zI49BtdIvSgxHL305DI97scrvLBTqzxlpZw9An1ZPGyUdLyAViE9nso9vAXBKD34PqI8OAKCPG6Tl7vQ3We820nOuqXnxDygd7U8v4KpvFMnv7wPCvC8JEDVPKWiGLy3ZSI9LF3cPGhotDxmGdW8awocvUCIsbxHsEi9BYeMPI3uxztk+KQ71mWGvCz/wzzGnzC81s6uO8lXOLu7M0q85Hx1PfgoAj3GZRS9Fid3vL3gQbyPVpO69/pSvH0SUj0MR9i8qCsUPWWwLD0nSog6UhyvPBgbCjyYTx489KqWPPNCS72PD3g8d6LCPG3NM7xr2w+8seoCvXZSBj3c67W8sEgbPJG8bzw56vI8DUdYu7N/a729bIm8dfVKOtzgpTwDfVm77Jn8txT7Nr1W6la8AXLJPN3rNTzb1ZU8jeO3vGsKnLwi5Yi6fZ6ZOmyU9Lu1ins8cBEDvG96K7wg8fW8V4GuvBWdnrvYkUa6i8IHPcJFQT2OSwM9qtgLvCpHPL2fMgm8Iio1PGHiBDtTJz+92z6+PCAJBT0s6aM9jnoPvI7517yubBc8jNgnvfEhm7wLPMi8w9yYPB9yrbw1s6I88qBjOxomGr1GYIw6xFBRPMjAYLsfcq28aMZMvToYIr1whbu7wSSRPMi1UDykRd08rO4rvRc/Bru2zkq8TRVIPDMROzu94EE9nj72vLJ0Wz2chm69VnaeuygxnDul3LS7SmjQvNymiby7M0o9TrcvvHH5c7vxIZu7hLugvBwNrrypNiS9R7BIvMhBGDwcI066ahUsPPGV0z1RBg+9nNgZPBukhbyzf2s95JSEvISwkLvego284/2sPZypDbyXRI48IRQVvR/QRb080Ck8YkstPPwMSjvRAAc9kj0nvHcLa7wdxbW8TKGPPDZVirwKpfA6Hy2BvMgeeTwwFAe8IH29vNKK37xx7Qa9ywQwvQMfQby8tIE8cjKzvNn5Eb2DpQA9LqGrOwjiWLwtaOw8p/3kPMTyuDxGmii9XzUNPSGITbuIfji9n9XNvBA4nzt7cGq84AuJvK6bo723KwY8/HXyPGa7PL3tjQ88nJH+PF81jbytBMw8VI8KPT59ITyPD/i8Bcw4ucNb4b0wFIe72z4+PDHN6zyN4ze80C+TOxnffryeyr28sgAjvLQWwzsJhEA8VD3fPGP4JD2fbCU78pXTvI8EaDyYLP+71mUGvTl2Oj3KYsg7xloEvaVb/Tux6gK8Mc3ru1DY37v7X9I5LHN8PDJvUzxGmqg7lqKmvGp+1Dx2jCK9ZJqMOVgAdz3/Lfo8yr+DPdiRxrueyr28ecPyO8jA4DxlsKw79VhrPM9eH715ORq7Uyc/PUkNBL2m8lS9od8APFWPirvT5xq78iwrvGWlHD1rCpw81U13PHIno7mchu48Rg5hvbBIG72CDim7e2XaO1IGj70s6aM6mvEFvQIJIb3U55o6HsU1vLUsY71Zol48mCASPfcQ87y8Plq9v3cZPNs+vjyNngs9rO4rPX4d4rwdixm89OSyPPx1crx1XnM8EArwOqD2fTwuZ4+90C+TOzY9+7tmu7w8rqYzvTQROzzfDOY7qCCEu1mi3jpQbze9DoCXOyDm5bwadla9auf8PIfnYL0T8Ca8X6nFO9F/T7y5htK7n2wlPTuX6rzRdD+9WJdOvMaUoDzE8jg9nHqBPDyWDT3tO+Q8Wzk2PUNWWbxj+CS9ywQwvAsxODx3Fnu7Xgdeu5llvrwoA228aGi0vGBAnb3ItVC84EUlvRkmmru8tIG8K6+HvUCTQbwKMbi7pNGkPHTfqj0H4tg77LybvX4dYrzeXhE9EbfnPAmPUDsi5Yi94vKcPP4iar1TJ7+8UW+3Ot2CDTxd/E28BVgAvaVQ7Twk16y8KCaMPJCQrzx7cGq6KANtOwulcL15RCo9uHCyvDOdAj3q4fS8SUcgPRwjTr0S5Ra8HKQFvNWUErw7LsK7sUibvNOVb7yTu5I8B+LYu5NTR7yuD9y8OAICPeqDXLyYFYK8Y+0UPSaEpLvAgik8hYwUvWusAztfEu48FqguPMkSjLwOUYs9LZYbPaTRpDw9Z4E8ScboPOl4zDv2kSo9joUfPXyTiTwOgJe8UteCPB0u3jvW5M68lhbfvPOr87u6Haq52pzWPAMJobwoVRg8aMbMvKXnRLy3ZSI9nzKJvWO+iD0QOB86W61uutDod721fg69lQA/vHKmazzS3Aq9zIN4O3eXsrxUySa7SA2EOlqt7rs66RW9Uye/vGwrzDwxWbO9rxpsPLnk6rznHQA8jeO3PCkCELvmtTQ8YwM1PdgF/7wDH8G8aNFcPXlEqjy4cDI8ek+6vCTBjLx5RCq9Uu5/POQTzTuFgQS8aGg0vXz8MTzZKB49WJfOvAFnOTz05DI8pefEPIWBhLy7ta88Jdv7PFJ1o7y3oRK9KefHvHNNhr0ZyBu9whYSPSExzzw2RQK9IBQkvYbcCL1gDbQ7uf75vF0cKDoQYVO73+IoO+nttzz7kRS9dAYnu0K6AbzpApI7SGoUPL4ncbtqmXi6BzmZu4EXHD0Gus67/oIgvN5GM70tLWq82Milutyqvb3S5g29gbORvN2Nkryv1j+9FO7Uu3VA/bymZyY9ErZpvDZiLby2BZ084tM0veXEwDwSGvS8n4f5vMSlfjs0cSG9+nbUO+pCzjxdHKg8Nn/YPJfsQLw94Dq9rEm+vMpNwL2rrci8lV8/vXDdr7ySHwM93/9TPYBJIb2ghY489eGBu2N9ij0Wp3U9sqqgO+BMGb3/n0u89HeRPPg+aT1Cpae5RN2SO5oHgbx+EbY8oxT7vG26nrzFBx48KzxePXy8n7swuuu8JhNnu+Ac/ztOTKy8Sr8qPacgx7t/kIC72OVQvKcgRzvZnAa87ZdkvEkjtbx6Beq8BEiNvE2wNjyhUwm9pmcmPJ2UgrwGc287JT2bPHlMybss9X476DQXvaJb2rwpZpK8pBKQPEgIdbykEhA9S1sgu9X0RD0fjYi75vwrPbW4Vz1cnV29emcJvPJUAL0OcMe7dlu9PAdWxLyZQVc8GtBsPWN9Cj2GqoM7cs67O767lbymZ6Y7ueHOO0NBnbwi6u88jKnGvGSaNbtEeYi9Sr+qPBZDa7zPk2I8Jva7PLDzajpo4Fc8v6Y7uz6ZW7xB7IY5m91MvAF0LL1Vg1o9+CG+vYVyGD2b3Uy8ZwoMPMK08rrnmKG7ucQjvC6sND1p4Fe9iTcFvKkufj38Xw+8xKX+vH3Zyrzt+QM8ExgJPUt4S7132gc7e6HfO1Ov+Tzl/Ks60iBkPKvK8zzC5Ay9IBSkvK5X9TxcMQI9xaV+vVVJhDwdwfi8CPI5PcXAPj25RVk8V9hwPPvL6rtw3S+9YakpvUrc1byR0j29sHK1PKJbWj3CFpI7y5qFvJgBmzxCuoE8O6jPu17y87zwhoW7J3WGPCS+0DyNkoG9gbORPI32izzOWQw6jWLnu4ypxrzoUcI8sHK1PHGW0DwT5oM7fiYQPYk58LwtkfS7oKK5O0DRxruhU4m62YFGvYEXnLxOTKy9F9cPveVDCz3QZ0M8YPCIvKsskzxX2PC8WAgLvfDqjzwpoOi7ZBmAPfc2GD2sST69+nbUPEQPGDtEF2m8U8o5PWlfIju3b428vW7QPPAclby6mu+6tnH4vHbc8juZOYY8Y+EUvHcU3rzN92w8q16YvBtPN7xpfM073imIvArjRT0xVuE8xKX+u3GW0Ly80lq9UxGZPXQjUrzoUcK8ExiJPZokLD04U7m8jIybvClmEjx+ETa8ueFOvGh8zTxsbVk821WnPPwtijyBsxG8PeC6vBdeK71y62Y8JVrGPI63/bs242I8TMUQveYZ1zy0HOK60cvNOyUT5zvdK3O81yywPOHoDj3FJMk8F14rPJX7NLyzFJE81deZOdLmjbxv8om9qJ+RvfXhgTyASSE7xQcePW0kD73HXDS9aNgGPbuYBD0XwjW8rrt/PWPhlDw/GCa+g/PNPJaXKj17ICq8S3hLu1KSTry3KK487V0OvIoNUbuwVYq8GdDsvGF/9bx66D69Zye3vItx2zsWp3W8nCqSPDrSAz10cJc9KTSNulvkvDuASSG83ao9PX/CBb1ZpAC9/QNWPMbd6bzE7F2829bcvPLA27zrX3m9U9+TPK5X9Tq6mm+6RjIpvM0hIT1J3FU8Mjk2u7NGFruWGGC8Y5o1PTGdQD34Ib68+CG+PJlB17wCECI80iDkO3uhXzurZum7xOzdvBRSXz3qia28wF9cvD810bqq9Ce9EUSoPFwxgj0xnUA9FFLfO59NIzwlC5a8a5eNvJdQSz1e1Ui83A7IvPGGBb2O/tw71RHwPDQ/HLoJKqU70oRuPenttzt3qIK73VuNPC6stDpWH1A9w1BovZxcl7yIzZQ9VUmEvTm3wzreRjM81g+FvMPPsjwAkVe8x93pO8NQ6Ly04gu9iyp8PG7Cbz5Kvyo9yBXVu92qvTyQNki7uMQjvbqSHrwXwrU8IkyPvLEOK70oaP283aq9vNjlUD3WkLo8his5vdOCAz2mZ6a896LzPLZx+DzStIi8Mjm2PCoCiDrJlJ88ZqAbu34u4byM9ou9YcZUO3uEtDxPoUI840X2vAC7i7xXu8W7uhm6PM5ZjLygojk86FFCPQY5GbzbaoG8U8o5PY1i5zxbSMe8km6zO00vAbzgHH863imIvPdoHTz9+wQ9mAGbvKZnJrxRWuM88Qc7vRandbuHY6S88aOwO9y/Fzx0h1y9CI6vuxUmwDv4Ib48PzVRvA6N8jtyTYY7R6TqO0ecmbyPfae8JvY7vWtt2TpNYQa9B1ZEPf6CID2Uw0k9jcZxPO/PT72vuRQ9KqBoPUncVbxysRC8pBKQPZuOHLyCu2K8sCOFvJk5Br33hUi84RqUOwcHlDzWrWU8EnyTPZ34DD0EgmM704IDOi0t6js5Uzk9ZFPWPI1FPDpBHoy76NJ3On1YFT2kL7u8X3G+u50VuDxPIvi8uUVZvbSbLLwrPN68jFoWPZ9NozynPfI6dls9PGL+vzyFrG49bCb6O59No7yNRTw8TUwsvB2/DT0p50c8F14rPYaqAz0jIls864+TPTCyGrtuVpS8cRUbummZ+LoXwrU81aUUvcOyhzxTLsQ7d/eyO9rOCzz7kRQ83//TvNtqAb3m/Ks8pa6FPQ4p6DydlII9/rz2PPAcFby4KK46Bp2jvI32CzyQ5xe96myCve+yJLxR9ti6nfiMO8lNwDvTgoO9KjQNvfc2GD0MzIA96Z6HPe4WL71upUS96LVMvduPfbwH1Q68zT5MvQQWCLxbZXI83kYzPVtIx7prZQg9ObfDPPLA2zzvz8888OqPPeQLID3pbm27JhNnPTG6a7uOt328U0vvvDUqQr2UXz+8DMwAvW2IGbxsbdm8M9UrPetf+TzFwD49lzMgvItx2zztejm66/MdPEYyKTyNxvG8SSM1PfI/prw6DNo8R+vJPZTDSbvdqr27t2+NPVc6kDxzajE9zdpBPH1YFT1cOdO7Dww9O5vAIbxcgDI9xdUYvLl9xLxsbVm9X1STul0cqDxjt+C8GEEAPaxm6TgpmJe8zosRvX51wLxw3a86fVgVvV9Uk7vNPsw7c+vmu4id+ryzRhY93vcCvRtPt7xb5Lw6H/njuzrSg7vGQfQ89TAyO5wy47xif3U8SUDguw23prwsV568R6RqvNCuIj0GnaM8azMDvZaXqjzWQQq9w7KHu3B5pbnzefw8oKI5PM0hIT1zf4s8hUhku+nQjLzfHH88DbemO3uEtDxGs966Tc3hORhBgDygBkS9DnBHOl0cqDv79Z48sI9gvKWhfDyfak68hscuu7vKiTwhMU88+aCIPH4RNjufh3m9jUU8PIBmzLwWc4U8iRxFvJrdzLyHYyS8YA20PFR7ib3B3qa7/Uq1vAwbsTzB3iY9bG1ZOxO26bzdW429GEGAPGVTVj1CpSc8j5rSvBnQ7LwaNHc93veCPEIJsjwjhuW8EuCdvLSbrLxveaW8XJWMPMSl/jwy6gW9qvQnvdYPBT3vz8+8k0T/uga6Tju7LpS8PzVRO9yP/bya+ve80eh4vNCuIr2yRha8miQsPcOAAr3+O0G8nCoSvQ3UUb280to8LZF0PYGD9zvPJwe9viWGvc3aQTz9SjW8XICyPM/1Ab37Esq7PnwwPUt4y7yhv+S8TPeVuhRSX71rtDi94Dc/vKah/DxQIA28HOusuqcDnLwgzUQ8jKlGvZJE/7vUdfq78IjwPP0D1rzswRi9QO5xvL1RJT0mpwu92TIWPblgGT2vhw+9CkdQvJDnFz2Bg/c7gQLCPLJGFjx8ipo8Rmz/uk2wtjsCyUK9nbEtPFNDnryqkJ0942+qPDxExbzShO46B44vvDJWYTukrgW8XrgdPTSOTDymZ6a8aETiPFYfULt7PVU8eQXqO/SUPLzG1Zi8J3UGvV8qXz0sVx6994VIvAOslzxCCbI8aODXPCbZEL2XAZu9Czjcuo/nFzzywNu8R86eO27ABLsID2U9iZsPPWQ2K71QPbi8b3mlvKzIiDxRks69SIc/PW0Jz7yCV9g8y8wKvFd05jtsUC69C5zmu0YyKb28blA7JtkQPUNBHbvZubG5db9HvTxERbtiRZ88dHAXvUFtPLsurLQ7FgmVPCLqb7zK/o+8WNYFvfXhgbxhE5q8IJVZvKSwcLyU4HS9mM8VO8yFqzzguHS7AImGvVvHETxNsDY90gO5u3iwUz0YQYA7kwopuyVaxrwglVk9WqxRPc92tzxuVpS8wkiXO9dJWz1b5Dw9xcA+veQLIL1kmrU7hKSdvO7PT7u7GTo9+ZN/PVTnZD3mGVe8AJFXPfpZKb3i07S8wzO9vNZBijtsUC69LmVVOyu7KL2+JYa9askSu/HA2zmjdpq82TrnuwmrWjyEEHm9AHSsO7nEo7tJIzU9maVhPEzN4Tzdqj29s4DsOzz1FLsMOFy8XypfvVL22LzyVAA8ZFPWu/jSDT3NPsw7qS7+PJ3Gh7yzFBG7A0r4O5a0VTygBkS9kkT/u88vWLwHjq+8vW5QvU8i+Dt+ETa9YkWfPNFKmDyYCey8Zgz3u4ppCj3tK4m85vyrvKaE0bz+gqA8cLN7PM8nBzyuu389hqqDPHlpdLzDM7289HcRve75AzmSRP+7kkR/vE5MLL0c66y8ZdKgO8xb9zx+kmu9Epk+vNIYkzsZ0Gw8mWsLO32Sa7z3Nhg9H3guvCevXDzP9QE9imkKPa4dn73xB7s75zQXPGQZAD1SS+86r/PqvOYRhjysSb68zfdsvJx5Qj1RWmO8SAh1vKssE71S9tg7QqWnvADtELzdK3M7bboePK+5FL1o4Ne8hseuvBTRKb2pdd09+CE+PH51wDxw3S+9EKgyOkKlJ7xCuoG8ilQwvb+JkLxm78u8d9oHvSDNxLxNsDY95zQXvGJFHzxnPJG8v6Y7OgeOLz2QNsg8/rz2vANK+Lzu7Ho8H9w4Pag7hzzi8F+7N2ItPfUThzYlWkY9lHzqPEz3FT0jhuW7ObdDvA7xfD0m2RC8yZQfu6aEUT1Vg9q8Y0uFvKFTiTu2N6K7P1CRvHjN/jwwHva8TPcVPdjlUL3FJEm8HkBDPSnKnLxKKZs8bFAuvXyKmryQNsi8emeJvQt/O72+7Ro929bcvIsN0TzKMJW9VzoQvbl9RLuYCew6glfYvGSatTz9SrU8V7tFvQLJQj3A+1G8lPu0OuYZV7uRUQi9iZsPPVe7RTwN1FG8ztpBvb67FT0dwXg89swnPI7hMb1jSwU9rZ7UvDWpjLtHhz+8IE56O8ajE7x8ICo9t2+NPH4Rtru9btA8cHklPWxt2TwIcYS82rESvFRd9zw0Bju9to84vZXcqrwkOYC9wE8VvYqoXT3pIvw8yKClvGKkP70CtjC9NCgUPMJ6r7zZyTE8ijRtO8PWADxKhfs84uoDPGBhBj16Nvu81BesvDmgoTwoXn06RAQtutxoPLxsCEs9/7rUvJ3k5LyWk1S9bwOnPHJZ27wgyrO9JDkAvfU+Kr3Z4VC8panlvAkHQTxC2RK9CQfBPKNmLLwNsIU74KbRPAw8Fb1a3z48kPltvWmBX7z3aUS8dLUsvOCm0bx/dQk82eHQPKKvgj2nSPC8/bGTvZVQGzyuspi9/xYmvf+6VL1AleC6kG1ePBeIAT2k2hy96N9CvAD/BjsWiIE9OdqZPKKWajxt2Ay9aOwOvV3yuTwXkUI9UzyXu68N8TpBfcG7AiohPKPanLvwAJW8LvhjvCXYCj2F9te6vPjnPNqxkjucwwQ8CR/gvNLT+TzZybG8pBQVvIxHaLua0ek8xEl4vLWPuLxGo7e87zDTvP2Purw/rf87RAStvNJ4oTwZSGy8aIHfvDhEULsUlmY7cKKxvDhEUL38p9m8m7AJva4+KDox26C8efPBOtolA7wjaT49bZ6UOx63OD3bUB09JhIDva0+KLzd/oW7PGEFvOECIzv7ZCA8sP+LOqOWaj136gA82ph6PLW/9jukFBW9ZENKPMDzw7szkso8VLAHPe2pZ7wet7g8av+JvUTsDT3n9+G8L3YOPd/vpzytyjc80rIZPZeT1LwZJ4w8YqS/PLz45zusE468+FElPS7Xg72k2hw9HMaWvBepYTvFpck8RbtWOsnLv7pwutA8SELCuwWxDL3IiIY9f68Bu293F71AleC8pQU3uxdOCT2I8TO9kyWBO4y72DyYnY65LWOTPFwK2bzHuEQ9pPK7vBQBlryfD/88G+d2PASxjL1wJQA89iaLu/q/+DzmYpE9nrQmPLjEDDzgjjK9TtwovXewCL1WFZq8wTb9vCiPND0Jk1A96vK9vLPwLbujluo70BOPuz1hhToi3S69NZyEPJpdeTxDNOs8QsD6vEc5AT0kCEk8vIT3u/szaTy0p1e8S8mtPLW/9jx1hHU6xDFZPH5c8Tyr2RW9l0r+vFEpHD2k2py8s56WPF1+Sb2No7m8yj+wvfSHgL39jzo9AvnpPHfqALzkcPa7efPBO6RmrLx1bNY8/esLPFbkYj187p09zGpKvfrwLz17Hty6jReqvD6CZTwwC987Hk0CPDW95DwMPJW8ddcFPcDbJL19vWY7Zz6mPL2wiryvDfG8QhMLPWkN77wUOw6869oePKRmrLyQ+W09GxiuPIM/rrviucy8hwlTvUYXKD3vjKS8cS5BvAmT0DxH5nA95FjXvPTiWDvKV886b9JvO3ZUN7x3yKc6c1nbujOSyryKHM48zGpKO1GdDL2adhG9wartuqI7EjvwGLQ7yss/O4sEL72JTQU9ZLc6vPzrizwu+OM8ipA+vcsO+Tz7G8o8dJ0NPTQeWjsji5e8/Y86OiYbxDv2Jgu93+8nvUGfmr0o0m087nkpu752Ej3FjSq8iE2FvdnhUD0T99s8zFIrvawrLT216wk8858fvoY6irtsCEs94y09vNyKlTt6Nns6kGSdPA+JiLzG0OM7UwIfPCV8uby26wm92FVBva8N8bmKkD48Ttwova5ggTsCQkA9/euLPczeujvKs6C8GUhsu9zcLDuCV0281s7VvHXXhTz/FiY8NqXFPEFlIr3Q2Ra9jaM5vSPFj7yppMG646EtuJT0ybyY7yU9WQ99PFhAtLpVLbk7EYNrPAkHQT3Ks6A9oa+Cu2fKtTwMjiy9k+uIO2lpQLx87p088/r3O0FlIr2iARo9PzoIvdf5b7sszcm7W8cfvS7gRDwwC988SSojPdBNhzxWwwI9m0VavT86CL1VLTk9EoPrvOdrUjpgvF69W1MvPMn7/TxEkLw8UHuzvPj/jTylBTc8lIDZvHVUtzxWoak7Ac7PPKmMIr1ijCC9+r/4OsU7k738G0o7uFAcPaFrUDtLVb08BFW7vB9NgrwUU625g7OevPWymjyHlWI+oschPWfKNbt3yCe9B1AXPcMomL1Pq3G7ArawO5+0pryEYQe96GtSvf4Wpryt4lY9n4NvPHX4Zbxaa049dLUsvBPHHbxYzMM8ldyqvLSn1zuOi5q8AiohPYd9Q7xclui8eGcyvWPn+Lsu+OO7o5ZqO6wTjrwrxIg7JhKDvAMSgjwi3a68ayDquizNST2ha1A7HEPIO0QELT2/T5W7s56WvOECI7wPFZg8WYPtuo/O0zuw3bK8p7zgPOFd+7xGFyi9urWuOia/8rzgMuE7ttJxvIsELzmDDnc7EvdbvXGiMbzwGDQ759aBPO7tGb3cihU9eTZ7O9j57zxeHdS8g7OevAKekbzD7p88VF13vWFIbjxIWuE8Wt++PHd/0TzZ4dC8FZbmPOAyYT3WWuU8PQ71Ote2tj0KMtu86HWMuvggbrsK14K7YbxePDraGT3c3Cw9snw9vCmirzxtv3Q9cNJvPGUrqzy1jzi8lGg6PDALXz265ey6ogpbvFK+bDxBfcE8MJfuu7rlbLw2GbY8C0p6vQfcJr10tay75MOGvGvwKz0Sg+s8F06JvHZ2kDwbGK48ty5DPVTR57ypABM8keFOPAU9nDw97RQ7QxzMPGbi1DwgyjM9nyiXu/UNcz1jW+k7GhiuO9/vJz15FZs6KF59POOJDr0PFRg9yIiGvJZ7NTxycfq7ex5cPOeDcbxomf6854NxPUOoWz34xRU8ddeFPdlVwTzU5nS4tTNnu89lJr1rlNo8iRMNvRyMHr0osQ29cVCaPCZkmryXB0U6S8ktvcPuH7xWiYo8E988PchOjj2w3TK8Ge0TPcNiEL0staq83++nvOCm0by/T5W8YAW1PMsOeTyR+e085E8WPcUZOjzLmwE9TfTHPJmmzzyR+e08IOwMvDUolD1rOQK8f68BvfuemLyTgFm95E+WOxqkPb38p9m8AVrfvIOzHj3gptE8XdqaOx9NgjxJ2As8OETQO387kTywUaM8PFfLvFIaPj2WB8W85HB2u9xovD34/w289IcAvejHoz26Y5e8SEJCPZ2hq7u+6gI9EmKLvOoi/LuGdIK79T4qPcGqbbzfnRC9RLIVvQrvobzSR+o77QW5O4M/Lj1J+Ws9cnH6vO5hCr2doau8pZHGO2s5Ar2liAU9l52OPD46CLs/3ja9Uxq+PFaJCr0sQTq8IfVNOxQBFr1Svmw8aqz5PNGoXzyBoCO9cKKxvI45g7pup1W8800IveOhrbzxQ049ZZ+bPR4rKb2KNO08m7nKu+55qbsPwwC8yKClPKZhCLyZAiE9AvnpPCouPzuSVT+95E8WPCMg6Dy6Wd08w2KQPF3aGrtSps08qaRBvadhiLw1SfQ7ZSurPIEsM7xM64Y86McjvVi0pLx5quu7FCL2Ozc7j7tHWuE7nU8UvTVJ9Dysn528GAWzO1MCH70HaDa9B6tvPJmmzzuYY5a9gdqbvOl+zby0v3Y79G7oPKwrLbvUL8s7pYgFvSc9HTwh9c07F6lhO9VCRr3c3Ky86SJ8PdAc0DsnM2M9azmCvU8fYjuQbV67KS4/vMsOeTxln5s8l0p+ugqmS7z9sRM9+P+NvOvaHjyQKqU6dmxWPCPFj7wtKRu9fHotvLdGYrt/rwG8zGpKvZ/MRT0cjJ68bRKFvA8VmLzZVcE8XjVzPCBWQz0zw4E8ZRMMveLRa72doas8Hm7iPCiPNDrsTg+8CmOSO8/xNT329VO9iZ+cvCzNSTrPfUW9kColvSPFD73q8r08aOwOvbDdMrwRtKK8hsaZPOXMR70x87+8JXw5vfG3vjwdt7g7YbxevHbIp7zS7JE9zTqMvJ5wdD3tHVg8DI4svYt4nzzITo48WZwFPb8LYz2Xk9Q8WWKNPI0XKr3lQDg7QX1BvHgLYbrZmPq87annPOGOsjwyTxG9yIiGPKmMIr1nyrW8wGe0upC2ND1JZBs8eNuivBbamD052pm8f9BhPIH7+zv5fL+8scUTukITC714ZzI9PMs7vU5ouLzD7h884QIjPXwoFjxjOom9Ee6avYnA/DsfTQI9DqGnvUITCz3D7p88K1AYPStxeDzb9Eu9LSkbvZHJL7yfzMU84KbRvXEWojxeiAO8od/APAThyryBoCM8pU4NvXy95rtMPR69VHaPuxl5Iz0PcPC6CB9gPA3RZb2h99+6vsgpPRKD67x9SXa7DrnGPJi+7jwO0eW8h33DOzLzP71eFBO9q9mVvJstO7zjLb27UUr8vEAhcLyaXfk70iYKPZHJL70ZSGw8n8xFPd4HRzmEYQc90ZBAPHPNyzt9vea8OdDfPJYHRT1xulA8aJn+Oq7skLsC+Wk90rIZPfaBY70WNXG8xL1ovBbyt7y+yKm7m0VaPcEeXj0Ndo08DI6svILjXD06Tgq9EmKLvH0xV7ytyrc8alEhvUm2Mrz+RmS959aBvdZa5Ts+ABC8DBo8u9J4oTtDNGs8KHeVvaq3vLypdIO8tb/2PL3qgjzRNG89I6z3vMe4xLtN3Ci7mhrAPAwaPL3q8r28aQ3vOuryvbwuVLU8YwARvVsBGD1dZqq7A9gJPYZSKTwYHdK8wTZ9vaz69bv96wu8WSgVvKl0A703XO+6ejb7vL1UuTx/dQk8b482vGB5pTuKkL65OETQvBxb57wrxIi83++nPChe/TxsCMs87IiHPTDIpTtKhXs8my07vIbGGb21sZG8cNJvvFIy3byZps+8fo0ovVrfvrtbdQg9HtkRvWQrK71g7RW8o9qcu5N3mDwqFqC8i7IXPbhQnLzr2p66umOXPOw19zyylNy9ewY9O/sSCT2KHE49VqEpO6dI8LsixQ88pPI7vVsBGL2k8js9XTXzvBlhBLzn1oG8bjNlPMhOjrwORda7g7OePFHXhLyGUim9K83JvECVYLxQB0O86xSXPf+itbyQKiU9u7UuvGRDSryiU7G8nw//ux8+JLzZVcG67puCvOECI70lfLm8Hrc4PRlI7LvQ2Ra7kcmvO5+DbzwUUy09Di03PVdwcrzVOQW9TLEOvIHaGz1xipI8nU+UPLhQHD38M2m7xq8DPcKSTroZeSO7N1zvvC74Y7tpgV89yePeO8J6L7qBTgw96xSXvH+vgby4xAw6LUE6OikuP7wSa8w8gSwzvMdE1DwW2pi8sN2yvCgDJT06Tgq9LWMTPS74Yzu/f9O7NTHVvCxZWb1I5vC8RJA8PAThyrxN9Ec8bqdVvQwavLwllNi3qIwiPHIWIr1MPZ68RrvWPFIaPr2Cb+w8esODO7YlgjxL4cw8SObwvCOLlzxd8rk8I8WPvKmkQb0Q5OA8r4FhPMQxWTyZjjC9qyutPH+vAb3x5/y7bWQcvHseXDxH5nC7K3F4PeMtPT3tHVi8Z8q1PFlijTua0Wk8Z8q1vMZQ+zsMLu88rFYFvZF1m7yBW1+8sKtbvT0ByrwhNyQ91+2VPK7aR7o9Acq8hLqBvU/smTwEeZK8sUbiOsDG+zz+la07K2NLPJZklLw+6aG7RCbQu2CiwLu4BYs8owcGu8DFFzzacdi7aeUrPT1CB7x24ua80rFLvaMHBjuD3j26sfisvXZHYL3LjEW9l5qhvHXtFr0m2Uu8lrJJvRPtFzzZ1tG7L2mIPP/jYjzzHDW9gGYPPXAKsrxmeRG9AlB9vM3CUr29p7I7rT/BOldHrbpBCGs9mR0AvbHgBL0SuG48GgaKvcoJ57wbrSS9/LiFua8bhbsiIGA9rFYFvYwhqTwt5im7SbBPPQc/djx4TZ08GsXMvKBChjwpkrc7/BJPPXbi5ryPPw48yQiDvPHmJzxWEaC868GhvMc4U7wIzYQ9Dcn1OxenZ7sugbA8eaYCu1V2mb2Sq6g8tLL8O8c407ybVHG7f4rLumEZC7zx5qe8MAVzvK+2C723dhi9EIJhuqRJJ71hJZ88ex6xu+/IQrzlN6I76yf/O1uzxzy7PHy98ZlWuxkqRrz9lS09DlcEvUadGj2ZxBq8k/ndPATT2zwGows93sVKPcm7Mb20pYQ7/fomvE/ghbxo/dM83I89PAG0ErteuYQ9LEujPIUUyzvwsJo8hzIwveBIKTyZ0C68tppUPZ9OGjzfraK8l/MGuwt7wL1qzQM9T+yZvFnKizzDMTI9xuqdPJu56rs+T3+81rcIu0RzobsKqiy8USKnvGnZlz3vCYC9eBj0PAloi7wGPhK89Lc7uTT/m7yrbi27ZSxAPSrg7LzrJ/+7gpCIPbhraDoDOFW9mDUovQ+Nkbw/N1c8c8OdvW+94Dw9tPg7gpCIPKrHkjz73MG8K8hEPda3CLziGb28qoZVPRayF7wMyJG9zvjfPK3y77sf9QI9DmR8PUszLjwQNCw8rFYFvTE6nL0QNCy9NtxDvWXfbr3WHeY8j6VrPdkjo7wCnc47od2MPGCiQD1vIto8uaCRvE5RE7zrwaG7lrLJPA/yir0Rark86KO8PPbVoLwgkIk8ttsRvd54eTzu4Go9TbYMvL6PiryOCmU8YPD1vOomG72h3nA8xlD7O2T2sjzB+6S85E/KO8ukbb1Boo29yNNZPCsJAj2d18+88eanPO97cTxG92O81OfYOnroIz1MzrQ86fFxPZdNUL3SV4I8jIaiPIFb37vkT0o8Lxw3uk/ghTxT87o8ps3pvEKjcbxRFhO97PcuvGF+hDxdKpK852GbvIs5UTxSWLS8G62kOi2Z2DuWssm6FDtNPbH4LD3DfgM8zqoqvZXK8bzXU3M92r6pvGu2P7s2jg49JYz6PNjhAb0nD9k7OzA2PCj3sLs4uAe7WC8FPBIFwDoJwtQ7Yw7bPIFb3zzmIF69s8lAvXwGiTvqGgc9mI4NvKnrTjwIdJ+7TBuGPHqbUjpLjBO8DC2LPG3szLyRw9A8vaeyOyE3JD29WuE8YSWfvPmmNDtvb6s8t3YYvTQLML0IdJ+9PaeAPNXDHLwwBXM8jqSHvM85Hb0kVu08Bla6PEszLr0y1aI8ZE8YPCCcHb7Wajc8/LgFPd0qxLx2lLE7yz4QvBp4+zwJDya9+VljvGRDBL1QOs+8iWi9vBEdaL1p2Rc7YhmLPIx6jrzl6lA8R5EGPaturT1+70S6kcPQvFV2mbtjDls9vo8KvfVSwrxKY/679u3IvNFjFr1kQwS9/VMMvIEBlryTRq+8NkE9uyRWbTvC7xA8uu7GPG7UpDv/MDQ7xbSQPLlTQLx4TR09rFdpPQKdTrzJFBc95m2vvLGTs7iBDSo7YT3HPCz+0TtsUca8jgplPY1vXrwrY0u8ZZG5OUzONL2RKMo8mDWoPcMxsj0eGT882RePPOijvLzb9Da8B4xHPfmmNLyl2Bk8a2iKvRSInjxRIic9mOhWPPYuhryQzoA9FrIXPAAZDL2jFH47S5invDb0azw3xX+90JPmvHMp+zyKRIG9kXb/OKtuLbs4EtE6RQ4oPJZYgLwrCQI72r4pvT0BSr2IgOU8oENqPu7gars7fYe8t9BhvMMxsjy3agS9si66vC/PZTxqgDK9TBsGvWEln7zEGYq8WTBpPT0Byjok8I87kShKPQx7QLz0auo8gvblPOvBoTtGqS47jNTXvEDSXT3LpG26wPsku6ykOr0P8oo8KeucPO3rGjvqGge9+L7cOg0Wx7yFFEs8nr+nvLMWkrxqgDK8BW7ivL30g7yspDo97UVkPPbVILwaxcy8WDsZPGdiTTslf4I8wPskPDgSUT0axcy8Nx2Bu2MO27vzaQa9Qj0UPOaF17z27Ug9lmV4PO8VlL2sV+m7yqMJvRThAzy4uDm8CM2Eu7MWEjws/lE8F6fnvDb067zrJ/+8as2DvHcXkL2cPEk9kl5XPIpQFT2RKEo6WX06veNncj20pYQ9VWoFO3HyiTvEGYo9bi2KPBw8lzxdhNu8Fr6rvFv0BDxWrCY8phq7PETZfrwLRbM8H2d0PD1Omzt2lLE8IJwdvHLbRT3kKw48PGZDvKErwjwdMec6zCfMPCYmHb3RY5a8iBqIPGu2P71cmx+9AMy6vNZqtzxhJR89tjXbPAwubzzuLby7pPxVPAbxQD3WUo+8eQBMvAOFpruELPM6Mi6IPE0cajupLAw8wfskPZayyTx5poI9RkQ1PAW7s7yY6Fa8lOG1vLovhDwLkgS8MtUiPb30A7s4X6I8pdiZPOLM67zkkAe9NtxDvPAW+Dw1WWU91RwCPVDtfT0tPw899GrqvBDn2jqk/FW8d8o+PSp6D71A0l29ezZZvNZSDzsRtwo5/F+gvChEAr2fDd28YnNUPLbbET13fIk94X42vWijCr17d5a9yz90vJjoVjzY7vk6dF4kPMKWqzw4X6I8p7VBu98GCD3ZfAg9fzCCPHGNED1menU9JfFzPKBCBjwX9Dg9lOE1vRThg7x+onM8E6DGvNa3CLx9oY+8wa7Tu0G6Nb3BrlM84TCBPI0VFT1yKJc8X7roPOe7ZDzve/E8HEgrPJZYAL0tmVg9x4UkvHX5qrrbWbA9rKS6u6Nhz7wU4YM9j6VrvAuTaDzashU8iM02PJsGvLs+T/85hCzzOl2EWz0k8A+9TgRCvXGNEL0EeRK8LKSIPPt3SLxk9jI9hzIwPCWLlrw64gC9JT5FvPY7/rwkVm29+L7cvKhQyDthfgQ9eUGJvcuMRT2Fx/m8zWiJvFuzx7zMzQK9tUALPZF2/zz27Ug6HmaQvHbiZrttOR68tKUEvSywHDzHhaS8jW9ePQ+NET1RC2O80leCO/LaE7yjrqC8YRmLO9g7yzw+6aE7pD2TPfAWeDyjrqA86ox4vQkPJjxh2E07mR2APOsPVzhbAX267UVkPEb3Y7yes5O7dLcJPXseMT3uLby8mOhWPAKdTry/kG48M8kOPSNViTyLUXk8TbaMPBuhEL0ljPo80leCvV4fYrxaGEE81gU+vX48FrwEFJk5Qbq1vI+l6zoIdJ+89AQNO5dN0DzvFRS9tjVbPCtjy7zavqk8fVQ+O2NbLDoWviu8QBMbvRxIKz2AwNg8nX0GPMMxMr0braS8lrJJvaXkLTteH+I87FyoPNHJ87wRajm8gkM3PUI9lLzzHLU8LT+PPChQFjxkT5i8+9xBvdXDnLzL8b68H2f0vGcV/Lxcmx89xzjTvGyelzsuzoG9admXvAkDEj1qzYM9byJaPPCwmrvlnX+9di+4POomm7z27cg8RqkuvLhraDu8v1o9O30HvcDGe7wiugK7HEirvHWsWb1nrx68y4zFPH6i87sO/h69G2BTvdq+KTmgqGO9JYuWu8B4xrznugA9S4yTu1NBcL0pkre7uaCRPXlBibxqzYM99yNWPGqAsryB9YE8OzA2PTKIUTwGPpI8GSrGOjMjWLvWaje9lliAO4FbX7xx8gk8On5rvLJ7Cz28cSU8KuDsvJiODbw/Hy+9Im0xvF4fYrx/1xw9GWsDPOcINrx/iks95iBePFOmaTzfYNE8/+NiPD+EqDqAZo+8a2luPXkAzLzWHeY6NtxDPELwwrs0C7A8tBd2vDn6qL27PHw8D0zUPP2tVb0p65w80mR6PO1F5Dzpi5Q8DMgRvUKjcbwBtBK9r7YLPYoDxL3RyA89jrCbvNJkejzfYNG8m1ONPGDw9bzKVri8Xwc6vRp4+7yRdn+7mdCuPNjhAT2Wskm9Qbo1vNsMX7tOt3C9g5FsvK91TryG/CI9JKM+O4yGIjy9AJg7gaiwuvuPcDpP7Jm8duECvSXx87yc7pO8ui8EPf2t1TxPn0i9oEKGvOHLBz3s9y66NVllPTpIXjzRFkU8ER3ovPVSQj34ZBM9S5inPPI03bwg6lK8b71gPQ5kfDwV1lO9s8nAvCp6D7xx8+285wg2PIGosDy4BYs9WhjBPFdHLb1UjkE9yz/0vFbEzryVyY07igPEu+l/AL3ZFw88hkrYvB9ndL0QguE7q2IZPAECSLzU51i71reIPL8qkb0VFxG8nO4TPQAZDD0WcVo8bAT1POz3Lr0m2Us888/ju23szDvoozy9cfPtvC3mqTwntY882XwIPWHApbsAzLo8S+ZcvOdVBzzCSdo6WwCZPGT2Mr26L4S8dazZu3sesbzavim9hzIwPHX5Kr2vdU48RcFWPKXkrTqLnsq7t3YYO7xxJb327ci8tprUvMFgnjwRHAS8kl5XO7bbkT2ntUE7JPCPvGu2v7wZa4O9fLk3PDaOjrybuWo7CCfOvF3RLLyOCmU8ybuxPI28L71Zfbq8u8oKu/hkkzs23MM8RHMhvcDG+zwrFZY7od5wPJnQrrtL5tw8vyqRvViV4jxBCOs8e9FfPMH7pDzt34a8xgJGOzcq+byAcqM7peQtPUDSXbzEGQq7JnTSvKmefTzEzDi8XmyzvHX5qrsZ3fQ7r8IfvB7M7bxMGwa9ryj9vMggqz2mzIU8r8IfPRiPv7zhy4e8ITekOxlrA728DKy8y/G+u45XNr0aePu87UVkvd54eT1SsRm963RQPK91zju0pYQ7NtzDPNunZTzjtMO82nHYvE+fSDsyLgg9qTggO7PJwDtkTxg9y/G+PJdNUD0O/h49kqsoPWLApbzrD9c8IJCJPXZH4Lsre/O71YJfPeEwgbwKnpi8cAqyPBOgxrxAHy+8kRAiPCrgbDtwWOc8tuelu5DalLxK/SA9CQOSvE4EwjxvIlq9VI7BvLrWHr2ELHO9QVU8vAkPJjzGAsa85iDeO691Tr3UKJa8yqMJunuDKrz8Ek+6J7WPPKmRBTueGA29n04aPZKrKDbZI6O8zvjfPFtOTr2g9TQ9CNp8PGcVfLswauy8jQkBPXQR07yUOhs8USInvZmD3TyG8I68ERyEvKT81bx1rNk7AuofPLY1Wz37KRM9TWm7u+ScGzsezG08ex4xPUZEtbxOkrq86Vy5u/9gn7z0eJ67XiKgvHpZqbz67J688XVqPeDvlTzJcNI79IUXvRefhb1M+gK9jmqIugHf5LvgGWk7KBjhvNPAm7yMdM281S6APCzNPry5wxI8x/+FPGVVQz3v9yQ8XjwSvFA3az0eCXW5a14TPUhSnrzOMqk7BAmEvEnQY70VWAy97NcWPPtaAz3WCv26h+bavBxxvby54Ow8kfVGvOTbPz2GAM08VOxIvVmhJj0yQb88r955vOToODvO/sS8PtgBvRqloTvKIvw6tqMEPU3GHjzdgbG91HLFvPYDXb1U7Mi8MxpUvQautLsYn4U8HFfLPOQCqzx0/5q8XiIgvcJ+jD0i2ES8WNWKO+sB6rwPo6472pWHPH8BDj0Gobu8ItjEu1l6O7zKVmC8+sWzvI0jDzt5moY7ZIknPZ3DVTwSSN875AKrvC6ZWrxeCC69p7hPPVJhirzfWsY8FjEhPbK6Qr0sDpy8+t8lvYCzN7r2z3i8P8F3u1oCkjuBVYC9WTlevJWDuTtJ6tW8R18XPA/ki7yRAkA92pUHvdUkbzzetZW8t2InPTmB27yWnas8J0xFO4r2Bz2x7ia8gM0pPYuoMT0mjaK8GHgavGuv0bz60qy8WWBJPG9xKL1f4cI8AQZQPfSfCT38UPK7oms6PdrmxbxKwII9AflWPUz6Aryy7qa7+57IvABHLT3pdqu96yhVPepCR7x8/tk8I5dnPaC5ED2WnSs9YYbzvPfpajxRbgM9pgYmPEdskLzdqBw9HIsvvbg7PD22iZK9kQLAvF4ioLzVS9o8nOpAPFi7GLxrXhO8avAuvUUofz3dz4c8oYUsvBDXErzmfQg7mlIJvIfZYbydw1U7GtkFPRt+tjwLL668NiqBvJaDuT0ucu+8SfdOvezafj1dFSe8X9RJvBiVdLuokWQ8revyPDJoqj1BBQk8se4mvH/aIjscfrY7ow0DvNUHFb0FyKa8t1UuPdLnhj0NoPq705kwvFTfzzxU+UG7mP4WvevxiLw5Sg+9Ldq3PKGFLD1x1Xu88I/cO3/aojxq47U8YKDlusjYmrxTE7Q7NhAPPU8nijw+zvC7h7/vvE8niryMPQG9X/u0OxMUe7ktwMU8ow0DvRMh9Lypd3K9gX/TvQwIwzz2Hc88SrMJvbndBDodEwY7VZ5yPKDGCTyjHeQ8XRUnPfF1aj0ALbu8EKOuPNYK/bxoPgW8YK1evHT/GrzKVuA8N+kjPYw9Ab04m00905mwvPe/Fzx05Sg97PRwu8ixL70SFHu88JxVvTiBW7zlcI87QtGku329/DwSVVg8VPlBvQ2dEr1eL5m8BpRCPQLF8rpbH+y8sSKLPVJUkT0uYg48nN1HO4VOI7xKwAK9PV2kOrOg0Lxx0hM9X8fQPNq/2jsM1F49AFSmOs7+xLpSEzQ9vqLDPPrfpTvDuAw812gAvCgIALyiEGu8MzRGPBiSDD3c3AC97+orPOsBaj3wqc48WK6fvGF5+rw05u88phMfO51yF72YGAm95n0IvYubuDzc3AC9KygOPLR55byj9ni9WLsYPXaXUjxTLaa97Nr+u3slxTuNIw++7+orvCZZPj0+KcC8kFAWPPBLlzuzht48d1Z1vaMq3byWkDK932c/vQH5Vr0p7g29j3eBPB0W7jxBBYm8hU6jvDJoKjxPN+s8MZyOvD/o4rzCfgy8pOl/uy2zzLzuHpA7N9wqvLOgUD0Xou087TgCvDw2Ob1/55u9P9tpu+sOYzssDpy6cfzmOc1MmzzOC768BbutvBDKGT3xS5e8SqaQPBI75jtra4y8TbmlOSEmm73YNJw8FjGhPIFVADwQvSA7T0TkvFi7mDydjAm9ZveLvONQgTy4O7y8+6vBPBCwJz3Hy6E9Hvx7PABHLbtx3wy9WMgRvQ2qCz3bexW9ivaHO+l2q7zUf749/FDyOwaHSTzKSee8QQUJPdRlzDtvcSi92Q2xPNSMN7wjim48RFzjvM0/Ir1TIC06G7KavRxkRLtbBfo8Jo0iPdKmqTweCXU8AezdO5adK7wivtK8yL6ovCKxWT44zzE9jTPwvELrlryLmzg8X9RJveMcnTu946A89TfBvHaX0rx3Sfy82Q0xvLhINT23Yqe86MSBuwgsej2EW5w7LlWVPMT8UT3jUAG9QRICPYw9gbsh/y89/FoDPICZxbxU3088gi4VPRfjSrp81AY8ZuqSu8mXPbxrlV+86w5ju8+tBr12pMs8ZVVDPRE7ZryzoFC8sQiZPQW7LTyiN9a7JrQNvBiVdDzotwi8AtJrPE9rT7sCqJi5SB66vOXBTbvmgPA7dPIhu73WpzyBSIe8z6N1PPOsgjwuf2i94fL9vIw9Ab367J68St3curjtZby+YeY7gXJavMT8Ub1vZK+8yKS2O/taAz1KphC9jUDpPBi83zw5gVs4uBTRPLg7PL1NuSU9t4kSPRi8Xzw4qMY88Vv4PVM6nzt8/tm4YLpXvOpPQL2+lco7fP7ZPGGG8zxui5q8usZ6PI0WFj0dStI8UBoRPW9XNjxIKzM8dP8avXHshTy4SDU9vntYuu/3JD1DtzK9N/YcvVSraz0ydaO94O8VvRJi0bxSbgO8uDu8PFI6Hz257eW8owPyPM4lsLxVmwo9VPlBvLK6wjw+AlU7krGBvGxh+zuFTqO7dmCGOnpzmzyLwqO8Tp+zPIYNxrx/2qK8SerVu6ffOjyFTiM8YIZzvFQGuzx/Dge7x/KMPAdDBD0i2MS8h8zovNCWfLuyusI84EDUPBGJPD1eIiA9is8cPT4cR73gGek8/3qRPJwEMzx2l9K8B1PlvBGWNbzJY9k7Ckkgu1mhprs5Z2m9TdMXvTi1PzzuEZc8YWkZPYubuLzZ8747XVaEvSOX57t3RhS6BcgmvRIREzxoPgU8kehNO+z08DxOXlY8k5p3PCtCgDvH8ow7gVWAPOXOxjwbfja9af0nPQp9BL3JY1m9XjySuibBhrwbshq8MVsxvduL9jpjoxm4p9LBPApJIDyCO466uBRRPeToOLw+9ds8Ei5tPdhODr1x4vS8tqOEPXT/mrw6Tfc8xauTPZONfrux+x+8KeT8PEUo/7yc6kA94f/2vFA3az1wSr26Jo2iPNNYUzxIHjo9WYc0PLNfc7vTwBu9kEOdvIFIhzymE5+80ucGPeQPpDwF4pi8dP8avUODTrySweK8d0n8vKMdZD0SERO8dbHEvOzXFr0ts0y8ARPJvN9NzbxqycO8ktvUvCaNIj2RD7m8AfnWvK4fV7zlzsa8Mk64u92BMTwp/u67owCKvGUEBT3Bi4U9gUiHvF4vGT3k27+8F+PKvHzHDTy4SLU6vnvYutOZMD11sUQ6RzisPAs8p7wh/688cEo9OynujbvCSig9w7gMPPbmAj37kU+7srrCvOo1Tj3fTU08t2KnO6C5ELwgTYa9GJV0vb6Vyjw9UKs8ZgftvAK4+bz25gK9BpRCPTf2HD1eLxm8JpobvdOzIr10yzY8MzTGvAaHyTyiUci6qWeRvI0zcD3v0Lk7cdITPM4LPjzjUIG9I4cGPA2qizszAOK8R3kJvez0cDsMt4Q94DNbPWb6c7ysYDS906YpO99aRr32A128EhT7PK/e+Ty78Bm8i46/PPu4ujxwSr28AqiYO4Ix/TkydaO7PIQPuwdDhL13Y+685n2IPDYQDzr22Ym83psjPcmXvbt1vr283aicvesoVbyiN9a7TnhIPQHPgzwzDds81Bf2u61TuzqbKx47WlNQvfrFszz6xTO6d2PuO/YdzzxSVBE8b1c2vYbMaLwECYS75AKrvHzk57sRljW8enObvOpCx7y0Uno9MwDivIbzU7vVS1q9+4RWPQpWGTm946C81GXMvFaReT2CWOi8L2X2POAZ6bw8noG8oLmQu1mHtDuKqDG8lwuQPWrJw7yn+Sw8XiIgvS3NPrv0Xiy8WXo7PO/dMr04wjg9eyVFPCOKbrzgJuK7ks5bvW9XNrzIsS+8va+8O6yHnzxlSEq9ssc7O8T8UTyGAE08hie4PM7+xDzE/NG8B0MEvTmOVDqHvIe8PtvpvMTFhbs8Njm9pi2Ru1i7mLy8F4W9qWeRPJBDHTy9vDW9ceL0O6lq+TzzrAI8rTnJPEz6Ar2G5lq6IRkivd9nPzxlVcO99s94PKlqebzFnho8vqLDvOAJiLyXT9W7lp0rvFsfbDsRiby8XVaEvEmp+Ds33Co86yhVvHzUBr0Ribw7f9oivT7O8LyNQOk8WMiRPNSMN73a5kU7MVuxvHBKvbxC+I+7cd8MPfbPeLxC3h07ISabO2tek7329mO6p4GDvRrMDLx3RpQ9AcIKvHXYLz0yaCq8mx6lPATvkbzKHxQ9mA54PAs8pzw9KUC9UhM0PWRivD3H8ow7Ejtmvax6pjvlwU29LA4cOvb2Yzzh/3Y9/4eKOz4cx7wYr+a8N/YcPc/kUr2u6Ao8D/EEvM/X2TsVZYW95cHNPHpmorzTsyK97Of3vDJ1I7wrQgC9yHBSPTlkAbxriGa8ks5bvQAgQjzTWNM8utPzOxIrBT0HU2U8pi2RPFos5buAwLA7L1h9PFmHtDtwMEu8I5dnvc4lsLxJ0OO8BjlzPIw9gbwQsKc8zjKpPF/hQjxNuaW8bxbZu4JL77wt2re8St1cvVAaET0vWP28zjIpvDCCHDwcPVm8VN9PPLR55bmSzlu9SEWlvF4ILrxN05c7MZwOPY0wiDxcSYs9x/+FPEeGAj31ENa8naljvXImBr3EyO08JpqbOz1Qq7xwSj29DaD6vNCw7jsyJ0299gPdvEgeuryHr447TPqCOuaAcL0HYN48b3Eovc4LPrtPa888e9fuuue3iL0Yr+a8R18XPalaGD0SHgw9DaD6u2kXmjxWkXm9ZvpzuwBHLT0mmhs83aicvJgOeLzKHxQ811sHvKJrujxjyoQ8kaQIPWtrDD11feC8zUwbPTcDFr2yk1c9v0d0vAahuzz1N8G85cFNvGSWoLwngCm7ADq0PK3r8rw8ah279US6uij+7rzuK4k8qMVIvHTlKD0YiHs8EWJRPPYDXT1grV47ox3kur28tbxkliA9AFSmPB0Thjw+9du8mxEsPT7127rKSec8QQWJPDJoqjxaYEk7dbFEPXAWWT3dz4e8Qt4dPE9R3TxEKP86Tl5WPI0wiDr0a6U8q64KvEKQxznmfQi9BbstOp2C+DyhkqU8i8IjPGFpGb30eB49l0JcPJwEs7yohOu8ZvrzvOso1bzlZn672Q0xvWXterwyTji9YIZzvEg4rDuHvAc9xZ4avDlkAb3lwU08lwuQvYxa2zz67B695YoBPfbmAj3dqBy9lesBPS1vBzxZbUK9YWmZuwXVnzyRAsA8T1HdPDmOVL1Vm4q8utPzvGUEBbwyaCo69GsluxfjSjzWCv08kDakPAdG7Dv8WgO8cewFvKx6Jroa2QW979UgPEm07rxkdRC9gHglu2fwFLx++OS8rLM3PFWXHT1rskg96o7wO7xFP7wkzqu9K7aVvCZv5Twr45o8kPCCPJlawDoQOpC8cEAoPbqRqrsuZe66JEccvAMqXDzh3YM78EKGPO1ouzyXjAE9z94WvGxrGTzq6Hq8CcZaPEHRwLxLGgW9UPbiO5AdCL3i8nE5RpP0vGzFo7ymhB69nNqAO+/VID3QUsu5mVpAPXyL/7xz9Ly8KCP6uryfybsTvOO7rMaSvaQqFDzEIR495YUNPb2yJD1uBYQ88EKGvddIVLw9sEa9UK8zvWUWSr0QlJq8V6W8OyjvpT1Efga92sgUvN537bt7o5Y9dqECvIsImTtlXfm8/3qDvMbvXLzh3YM94JhnPGOp5LwCKty8dm9BvHl9YLxv00K879BkPJ6JWT0LZYE7xxWTvGr+MzwOswC93NazvBikTTzXAaW6rK57PGXPmjzKamG9sc91PEAdLLw6G5g8dxD7vITzqbz6jV28AC+YvTI/uTcZEbO81pS/POktFzx6MfW78fYaPbQ1jLwnaJa7/meovDo1wjzV84U8ZoMvPcWV0rytwVY9ap9tvI6dRzup/yI9mRMRvOYmRzzlcrI49nEfvSKodTw7j8y8Ton9u7cRarxz2hI98Ik1PPhsYz2xmyG9h0h4PbvrtD1QlYk69GOAPCFTJ72oSw49SG2/vS1lbj1NdA+81oFkO9wdYzwHpeA7wS0pPbVKer1qtwS91wElveGrQryKrg69dRU3PY0wYr0deVw7qz+DvUsh1Lzm35c7/OdnvJ9VBbz4Cwo6eMlLvfuguLwi7ZE9Q5gwPKfeqDu6MuS8K/3EvCNhxrxSdiO801kbvXZvwbwZWOI8HuZBvcy9nLqGjZQ90b+wvBwMd70Om+m62vUZPfCJtTy3cLA8BPHLvCKo9TyjF7k9LFfPO1zB+rsiTmu8s6lAvWtYvrp9ntq8PwpRvT2wxjxg9U89pVcZvYSU4zwy8808IEBMvKlGUry3EWq9hQYFvUGKETzdvAk93Y+EvOD3LT1q/rM8jkM9O9SGoLw8oqe78Im1PDcUSDw42ze87U6RPE9Vqbwy80299nGfveDkUrtXpby7kr7BPDLzTb3NVwc8BaocveO+nb0FfRc97y+ru7kKGzwI/2o89PHePO8VAb0ejLe8CRLGO/ogeLyOQz09dVxmvOv71TsokF88h7oZPKE9brvlE2y8g5kfOytEdDwP9fO80/+QPRJiWbqUPoK5/3qDPMaj8TxAXYy9TXSPPJm0SryZExG96qHLPO9jfzuOiuw8/8EyPM8/cL2PCi29MSxevUdaZD0K2bU8NnMOvVLQrT3mOSI9ytyCPFMXXTvbD0Q74PetvIsImbvT/5A81u5JPVx6Sz2z8G88Nro9PSJOa7xVhEI7UMKOvCR0oTxXBIM9Zt05PVdejTt1Fbc8JM6rvKz6ZrxWJfw8M3+ZurdwsLphCKs9S9okOyv9RL0ZWGK9Zc+au4Q62buUhTE8tbwbvQTecL2O91E9xgK4O3BAKLycYRC8H/kcvdkUAD343gQ9av4zvQvskDxGpk87dGEivtc1ebrL18Y87sJFvSgj+rr0BDq8MCzePNbb7rzP+EC9Iqj1u0yOOb0n3Eq9LbFZvf8I4jy70Yo7Ya6gOxNweLx66sU8MwapPD3iB7z4JTQ8iwiZvF+gAblJbb+4J5WbPLL1qzwEhOY7HR9SOx/5HL0El0E8rnonvRzFx7zHtky5C+wQvDVGiTyAGV88ZSmlvPOX1Lz2yyk8Nrq9vK+6hzlbs9s8loD1vJhHZTyCLDq9YFQWPVY4V7sQwR891pQ/PK6NgrzZol679kQavWg3RL1mgy+8EU/+vMP0GD2JD2g98CpvPRgDlLwo7yU9EQjPOqmlGL0Wli66qNnsvGaDr7sdeVy9jfwNOx/5HDs3W3c84d0DvVt/hzw8/DE7OZQIvTHlrrzbw1i8MvPNPP6uV72rWS280/8QOTI/ub0rthU8KurpORPPvjyaQJY70KzVO0s0r7zBzuK8e6MWvTQZBDzv0GQ+9nEfPXcQ+7wE8Uu9a/n3Oz8K0bz9sxM9/CwEPZQ+Ajqddv68yRBXvJ00Cz0TcHg8LnhJvGIbBry1Sno8qEuOu7yfyTs94oc981AlPNr8aDx2KJI8hJTjPBokDj2XTKG8pKOEu/DjvzwEl8E8DvovvHUC3LxabCy9GJFyO3BAKD2oSw67jimTOrOpQDzw4z+9eSPWPEaTdD3uCXU9hPOpvAkloTjayBQ8nGjfPG+MkzwayoO7BFASPeRfV71+C0A8O4/MvCNhxjxz9Lw8hU20PKE9bjuY7dq6RfI6vV7U1bwL2bW4+TiPPAwZlrti7oC87a9qPNNZGzkbURO9mAC2vL9mObz/Yuw7AtBRvc7l5TxlKaU8TOhDPbp3AD0HRIe8RpP0PENRgTxfLmA7Jii2vKJjpD2VxZG8xxWTvJxoX7wmDgy9bh8uvM+xETyRq+Y8Oe6SvHM7bDwO+q+8sC48PVBohL0saio8OZQIPcEazrye6B89h1vTPJ9Cqrlbs9s8GAMUvTDSU73V84U9H8wXvZ8ogLvokyy8BUvWvHoxdT1wh1c8/3oDvR153DygnDQ7icg4PYgUpLykccM8Gf5XuwKJorti7oA8wdMePJkTkbxWJXw9IvTgvM8/8DwEhGa8/frCO6tZLTvuwkU9FCnJOp9VBTw5ZwM98Ik1PIWnPrx/v1Q9gHilvLz+j7z7Rq68Q5iwPEwvcz3vY/881fMFPeY5ojy70Yq7xY6DPQ76r7xIbb88VHFnPFgxiL1hCKu7Wf/GuzKGaLz8ho68y5CXvBIbKr1fzYa7ee8BPYgUJD1hT9q86w6xvDMGKb1QaAS9uDcgvTDS07yKNZ48fVcrvG4fLjssnn48UAm+PHpJDD1ZWdE8fvjku6hLDj05ZwM8lZgMPATxSz3o2lu8q1ktvce2TDwFqpy8+AsKvVTjCL2zCAe9+0YuvDN/GT21A0s8NyejPAkloTydNAu8KaM6PaHcFDz5fz697sLFvBZ8hD1V3ky8xDtIPGzFoz2DzfO3nGGQvAvskD1EmDC7ibVdPcsedrxygAg9G7JsvBiR8jysszc7W38HPObfF7uq0h28QrcWvXjJS7wXMBk8y5AXvSjvpTyfKAA7X+ewvLYWJrwIy5a1arcEvZMYzLxuH648TC9zvEaT9Luwdeu8sc91Owt6b7v0BLq7RkzFvIhb07o2c44873bavNCs1bwJWfW8+jNTvBhKQzvAppm80Jn6u6jZbLtofnM907r0PAFcHTz0vQo95wwdvFuzW7wEl8E7poQevaiSPTy4JEU9nonZvDjbt7x0qNG50FJLPSKodTwxy4Q8nGGQvJ3VxDwyOv08LWXuvGFP2ry0qUA7n5w0Payu+7xLNK+8YPVPvaSjhLwEl8E86e02PcrcgjzsxwE75BgoO1WEQj0sV088mKYrvTHlrryRq2a910jUu2zFI7xf5zC97PQGvAP2B732RBo9HubBPPKE+TyUJus7zoQMvT7DIT2ax6U8N8jcvHSo0TmZExG9nCGwPEjMhT0ltAE9gIuAvZxo37xXpTy9rcHWvAdEB7wALxg9DDPAPD7DobtMRwo913qVu5x7urrwKm+7qUbSvPllFLtwLc28VvGnvCL04LwLvws99KqvvD3iBz0TFu67coAIOlIXXb3amw+9HR/SPIlp8jwaaz07iW4uu3UC3LykccM8H58SvMhCGL3e6Q49OcGNvNx8qbw8nWu8gBlfvLdwMLxabCy9xu/cOxfWDryN6bI7sC68vBFP/jsJbFA80qUGPfTqj7z0S+k7OIEtvRCUmj3eFhS8fvEVvZrHJb2d1UQ8jvfRu6O9Lj3+Z6i830OZvBgDlLytZ0w7HubBvHP0vDz4bGO8vJ9JOTHLhLvwiTU8xY4DvSlJMD0o7yW8v2a5PNBSyzw8tYK7c9oSu6yzN7ysDcI89PHeOuktlzzikRi8Ww3mvCJO6zw9aZc8vvKEvHujljsi9GA7wihtvFoSor3lcjK8suJQvRZ8hDtLGoU8AypcvcrXRjlqpKm8l0yhvYTzqby4sBC9RwDavJQmazu9siQ9t1YGuZNf+zzKCQi8eMnLvEI+pjtvwGe907r0vd7pjjx2+4w8fvGVPCIHPL1vjJM7hwHJuxtRE7wo76W64pGYvJ00Cz1GTEW7QivLOy1l7rwZWOI8s2KRvJVrh7xE31+8+TgPPXl94DzL18a7poQePOjaW7wYSkO9IEBMvB0fUrsEI407KDbVu5WYjDv0BDq9mbRKPCBAzLwCiaK60Rk7PLDnjLy+Hwo8HMXHvE9VKTzqocu5d7ZwPMNtCT0yOv08e/0gvZMYzDuiqlM9k8zgPAdEh71jqeS7iFtTvce2zDvr+1U8SCYQPSfcyjuYuYY7zOohvdsinz1xU4O99V5EvKjsx7zG71w7n5y0vGGBmzwFBCe9rhvhvMP0mLyeuxo80KxVvKyZDT1z2hI9UJWJvOz0hr1BihE9D/VzPWIbBr2yPFs7tDWMPKJjpDzw4z+9VCq4PFfs6zziTHy78Ik1vJihb70zOv26JmgWvbp3gDwNjUq95CuDOi19Bb1xh1e7UGiEvXjJS7yu1LE7he7tvNrIlL057hI9VpLhvOsOsTurWa27t7dfvLAUkryPCi087qgbvbz50zw8Q+G8WmwsPU2hlLw6G5g83umOPTYBbTofcg09uzLkuyeVm7z08d47YFQWPecMnTtDUQG9uDcgvRsM97p/v9S7gHglvSxXTzxejSY88j3KvB+fkjwSAYC8E4gPPdALnLzBdNg6kxjMO1DCDjy8+VO9K0T0vFdLsjrcHeM8n5w0PVwzHL08oic9kB2IvOpHwbxjSIs80Jl6O0qAmrwOm+m7sC68up00C7sYpM08DkHfvCrqaT3Uzc88qUZSvPhsYztQ9mK9K/1EPQnG2rysbIg8mm0bvJNyVryh9r47l4wBPTcno7vyhHm8suLQvMjJJ7tUcee7ehyHu1cEA70OoKU8vx8KuocBST21vJs87qgbPUvVaLxzrY29vOZ4PCJmgjxhrqC6TaGUO7jF/jvAwMM8sjxbPdrIFD2nHok9SsfJPKlGUj3gnSM9iQ9oPBhKw7wTcHg9m8elOvOX1DzUhiA9qz+DPDVgszzVxgC9S3tevUm07jtnw4889OoPvKfxAz2c2gC9edwmPCYOjLwdH1K8cZoyvFtn8Lz1XkS8HR/SPDuPzLxJU5U8+uyjvNx8Kbys+mY7/wjiPI3pMj1JbT87W7PbPFJ2o7zMi9s8Pff1uxPPvjzv0OS8N8jcu/BChj0iTus8DkHfvGVd+bxAHaw8UxfdOrz5Uzw6NcK81BT/OxwMd7w5lAi9areEPKzGErxF8jo7C+wQPDCLJD0ZEbM8u+u0vL5TXjsPZ5W8yMknvOSKvTzRju07KmkIvfhh87wKw++89c5xvYJKjbyhnTY9rmsxPYUBQbzASrm8Q/CHvbue2Dy0+km89DAdOuD3uzwr7v085Yo9POyMjrx1+p08sWNfPIuQ2TsU/ug8+peauROA3TvN/9S8+puDPdtoI7w77ra8jiNbvR1akzujF9k672CKvfxWoLyYXtS8khSfvDSr67zefZm7ktMkvechqDwT3h+8nmt4vHANQzx/OQC9N92pPOLTCb0ePcu8kNeNvEYlR72B8LO8pJXkuxKhjjz1UGY91T43vNg25bzEXy88VPNBvaSR+7yb0Yy9d9ICvboktrvlhlQ9MjHJvIPMgbvIjQQ8hh6JPaDiGT2owzk8u57YvH2+9bylMLi7eyQKPYUBwTpGpzu8mnezvKI4Cj0l/qE8rk5pvW16wTkCPCk9caiWvAXTk7rqMjW83WS6vM0cHb0SAlI78FyhvMrqXrwf1LW867BAvNSjYzzuQ0K8JAKLvB2/v7xS+xO9kTjRu7qF+btPR+E86TYevWrnv7zrLkw7mF5UO7by9zyx4Wq9XJdQvAjH2Lw/ZHA98jQGOyX+IT2G/Ve8uyBNPdU+tzy6AAQ9cGsFPXQF8bo8SBC8QpauOzGzPby9NcM84nHeu46lTzxBHIw9eo2fu+uwQDxhKlI8sWdIvcKkEj2sc4M71tmKPA5zuTxU96q8fETTvGbWsr1DMQI9oQLjvCV8rTz4Zdw85eSWPJE40TxOzT69CEnNvJr1vrxIfyC6W7gBve8mejy+EZG9z5Y/PQtew7xrfio8k+yDPN2BgrzQcg08KgvGPFFDeL3y1sO81hqFPfHarLyu7SW90BTLvOXklrzSqzU9N92pvHIqC7wE0xM9tBcSPb23N7rYtHC8CMdYPfoZj7xIPqa8mvmnPD5o2baA9By99es5PH1dsrwqaQg9VoqsPfI7cDwYLL67hpwUvdupnb3rLky87UerO8Atcb3GV1084Fh/PfMwHb1rfqo8VXFNPM55dzwYLL48Vc8Pvd6+k7sCQJI63sX9PBooVb19QGo9Jf4hPGU737sPb1A8aUUCvR671jwUGzE9X6xGPf8JazwL3E48HrftvJ8GzLzJypU8p0mXO5DXjTqUz7u8YsUlvHa5o71JOj29ACNKPaSR+zwJw2+8zYHJPOefszwHy0G90hDiPBFrZ7wHTbY8NkJWPYf917ybc0o9fKKVPC6Bf7z8kzE9nyMUuoqUQrsePUs91tmKvPHeFTzHU/S8rbd+PMVbRjxQ5p06A7o0vYFV4LpwawW9BLo0vLGEEDyfIxQ8Ap1sPeuTeD3Ar+W8D29QvSJKb71WDCE9Ab6dvDpTY7y9NcM8iZRCPU+pDL0UgF28F5VTPKQX2TyrOXO8ipRCPG16wTytLiC8MdAFPft2aTtwjze94wwyvdKrNTshTtg7gHIouzC3Jjtvdti8xlddPJdF9bzFW0a88N6VPIOHHrtbAOY8C7yFO7eNSz0l/qE8tpE0vZFVmbs2QlY8Q5JFvNYahb3zspG9X0sDuwI8qTrEPn674wyyO5xPmL1BGCM9RaukPAzY5bz62BQ9cY+3PK5rMb7SKcE7FrIbPddXljzI8jC6V2l7vM4YtDwneMS8xOGjvJvxVTweu9a83OauvI1EjL3qdxi8lM+7PEjAGry0eNU8AzjAPL4Yez2bEoe73/+Nult3hzz97Qo8mth2vKhBxbzwvWQ8GK6yvA7U/Lx4kQi98T9ZvAhmFb0zzBy82k9EvDOr6zr/qKc8Yj/IOwSWgjxwDcO8gswBPbmmqrsnlQw96BlWPWJDMbtnzuA70wUPvUeDCTxzIrm87kPCOT9kcLsTAtK8cY83O6EbQr3TBQ+9uKqTOwO6NL2rOfM8agSIPb2abz3/a5a8Kg+vPDC3prxlO9+7uIniPLFj37wtojC7ekg8vTp0lDw0zJw8EQqkPPE/Wbx6K3Q9iq2hPCV8LTx6yrA8ngZMu0YlRz2fBky9FxNfvcsDvjzvYIq9PebkPN2BgjvcR3I6O+42uif6OLx8qX+4+VoJPL5SC72FXwM9JOFZPh1aEz1QxWw8ZjAMvU3qhjy7IE298tbDOnY3r7ricV693EdyvcV4Dr0yj4u8ONlAPc/76zpxjze8Mo+LPCTBkDvXmJA7hQFBPWYwjDzThwO7lCkVvWRYJz1o66g8ohvCug31Lb3M34u72DpOPEpXhbzlJRG8nmv4u4ceCbxoaTQ9ymzTvN3F/buI+W48OTMavbAGBb08bEI9X7CvO3/X1DuKlMI7lWqPu1+sRjwOT4e6VPeqvOWjnDxMsPa7ywM+vG922DwsZR+9oQLjPMPhI7xt2AM98dosu4ByKL10/oY8d7W6vMTdOryhH6s7KPZPPDfAYTwyMck8ftu9vJuQErwM2OW8ZL3TvGlFgr0cvz89RQzoPDTIMz3uQ0I98FwhvY6BHT0BQBI9vtCWPJvxVbxEkkU9WARPOzYiDbyXPgs7BbLivNSjY7yX4Mg58dqsPPr4XTyId3o8JYCWPEkd9Twshei71EIgPMyBSTw5tY48FrKbvDC3Jjy1E6k7jqHmPCpw8rzsrFe8KnByPMwghrwxGOq8AzjAPFBkqTwK4Dc9iq0hPfI7cLxlN3Y8/4d2vERuEz13Fv468T/ZPGrnv7yUKRW7Ffr/PMa5CD2OQKO7aExsPUH7WjxFDGg9vhGRvEq4yDxzZxw8UGSpPIHws7cSoQ69qEFFPV8KibqDzIG76BnWPDc+bTzqMrW8/RG9uRY0ED2C8LM9KfJmPC67Dz1Vzw89opnNu9IpwbtlN3a8wsTbPOibSr2bEoe9+ACwu0EYo7xBWR28HlYqvbN8Pr3d4sW8GqbgPCTBED1aHa49lcvSvHBrBb31CAK93eJFvCHM4zugoZ+8krJzuGLBvDnnHb88mvknPGLFJT1Cli491IOaunEJ2jyVZiY9ibEKPaWuwzwDG3g9BFUIvTJOEb0f1DW8ZFinvCd4RLyimc28g8gYvbsgTb2WRXU9WwDmPE7J1TzoAHc8qV4NPZE4UTzwvWQ7/yYzO5BZgrwTHxo9TuoGvLAGBTxCFLo95aOcvHEJ2rwizOM9nW/hvCDQzDw1pAE8cekQPSJKbzwXNJA85YZUvCTBED3G9hm99udQvEkhXr1EkkU9OdXXO/eCpLzrMjU9fzWXPCVfZbxDMQK9iq0hvPt26bq8fg+9dAXxPCppiDw5tY67P2RwvVVxzTyC7Mq8TeqGvIqUwjxixSW9OlNjPCsoDrg77ja8x/IwvafHorxXaXu7sWPfvDhbNTzom0q8+X47Pa0uoDwl4Vm8tPrJPG6ToDuLKy28Wn7xuSj2z7wnVBI8wEo5PZLTJDyhHyu8mnczvaP3Dzw/gTg9Dw6NPPK5e7rCxNs8tNYXPRkPdr3exf28D+3bu37bPT3/Ceu8N92pO2rjVrw42cC8CeQgO/XrObsAAwE7NUY/PMhwPL3+i987yepevd1kOrxuk6C8Jf4hvUcBlTt7xkc81EaJvU7NPr0NWlq8g+jhO7gon7vAr2U7gHKovArgN712N688guzKPM5597uQ1426x1P0u0UMaD2qWqQ8ea3oPAxeQ71NT7O8dfodvHor9LxxCdq8R6PSPDJOkTzgXOi8m/FVPLZtAjw+5mQ8qEWuO5K23LsuIDy8e8bHvGLeBLsysz29VY4VvN1ACL09yoQ99seHvCZf5Tr5/Ea93UAIvBkIDD1/OQA9Bq75u8HIRL3mISi9UroZPZ6IwLvlZgs8AjypvAzY5btfCgk9S7RfvUanu7sLvIU7awCfvcvm9bwiSm+8LQP0PPr4XbyVZia6uqJBvMV4Dr2WRXW9ojgKvVDF7Lz97Yo9l0V1PCiRI70Ix9i8oZ02PecdP7skPxw9tHjVOz3KBL1tlwk8FBsxPcPhIzukE/A8ymzTPC+a3rqWp6C8LGUfuSLpK72kNKE8+VqJu9nROD2GnJQ8Ut5Lu8FKObycjCm8ONlAPOKOprw33ak8dAXxO1G+gjx6SDw9fkDqvKEfK7wuHNM8Bs+qOxzcB71o75G7W5u5PF6wL73JypW8T2QpO1XPj7zrzQg8oAJjvTfdqb0QCiQ7FxPfuwGBDL2MJ0S8jzw6PCJnNz3d4sU7D4wYvU5Lyrxrfiq93UAIPbqF+b23D8A8qtyYuzzuNjt9vvW8jqXPO3GPt7ylrsO7SD6mvO1Hq7zvYAo9NSINPaqbHj0/ngC9ACNKPJI06Dy9HGS9T+YdvE1PMzxjvVM8Hj3LvEEYIzwf1DW93EdyvS6ex7xYBM+6XZNnvI++Lr3tqO68Mk4RvJwOHj0iSm+9QZoXvF8KCT0Hz6o8EuKIPUWKczxmsoA5sv6yu3nOmTwqaYg9tfbgORBLnrv+i985CGYVPdeYkDwVmTy9l+SxvEP38btDrw2998OevGt+Kj0sZR89wat8PP2skLz4ZVw9AKU+vd95ML0XMKe8zvvrPAfPqryqv9A8ZTtfvTTIM72nx6I7QRgjvB3ch7wRBjs7D29QPfZFE70xEQC9rdDdPF9LgzzlhtQ74HmwPFmfIr05V8y7Ku59vPp+OzxHAZW8Y50KvYl3+rswOZs6MJrePL4RkbxuFRU7680IvYqtIbwqD6889eu5uyBvib1HQo+8wUq5O1eKLLxFDGi967SpPH81F7xrZUs8+GVcukSO3LzTp8y7dZxbPHczxrxXCDg7inCQvAO6tLrb6pc8CkXkPJbksT0EG3g8NcRKPBBrZ7n63368AMIGvMto6rp74w+93eJFvfHarLphKtK7O096PBiKAL2z+km93t5cOydUkjppTOw7QnlmO5fgSD3srFc8iystPJ+EV7sRa2c87EuUvQ5zObr5fjs9/JOxOuBc6DykE/C8awAfPO4m+rzHU3Q7Ve9YPeUlEbwzq+s7EelyvJRNxzyMxgC8682Iu63Q3byt0F06STo9vTC3JrwJYiy8VRAKvXix0T2Yf4W7cYtOPf6LX732aUU7NEoovDp0lLyhAmO7t41LuqeqWrwEtku9ii8WvbFnSD2xApy8DlZxPHSgxLxFKbA7kDw6PdrNTz2lkXu8BbLivLZtArz0UOY8QIE4O0D72jyksqw8twvXPI++Lj16SDw9mlprPbcPQLycDh49mlMBPZAYiLsc3Ic6AYGMPKq7Zzn5YfO7Y73Tu46lTzzy1kM78D/ZO78x2rzB5Yw8bdgDOtc6zruGHgk9ojgKvQcphDwuuw+8wkbQvM4YNL0wGGq9gm4/vBEKpDybkBK9V+vvPL6zzryX4Mi8luQxPe8fkDxnzmC8QZoXvJKWkzy5piq9bvTjPMCv5bxuesE7VRAKPPOyEb1+vnU9zCAGPROdpbxJOj29WZ8iPTagmLxV71i6jkCjvPFcobr8Eb27I0MFvW3f7bqY4Eg8FIDdPAS2Sz0iSu88XTIkPMDMLTy+s048LYH/PKWuw7ze7rw8jXYRPHOPBL1jXs28QSq8vEcRer2Qv5+8I/qgPH+OaLyu24q8ot+xvLpnBb3mwUq9Dmg1vBwW7jwAYEm8Ry6yvJJx/7zjGYM8u30wPGSnW71vl6E8erO9vKHJhjz2jLs8HbmvPPOg6zwElac7JyZ3PDHZQbys77q8hxjovL1MSL1mSp27fNwIPFe8JzygeWu8/sOUO+ujgrw2GjM9QO3APM1gxzuJfi49MZxGPHy/0LsAQAY7luNYvJmycLwt7XG9AGBJvPP6HjweuS+7Aw8ePXT41Tyu+029pCjAvCCIR71hUrq8Sf1JvXhNd7wNiPg7Sd2GPaDz4bxdg6I85Xg8vRTmIT0Uqaa8vLCTPL0Pzby8iUO6y3T3O2pCgD1MY5A7knF/vIvHPL08mB+8roHXvLJQb7yOdhG9xtZHPeEjGzzKSCG9WXUUvMvOKr2Kx7y87PaoPKEGgruK5387mGniPLQ8P72Gkt66/9m/O/x6BjyB1/a8hq+WO9N4bbpq3Dm9V9zqvM8jzLxu1Jw8+wqoPNtSiLzcFQ09H+ySvOz2KLyT/pW80/52PAR47znKCyY95NX6vK9EXD0W8jS8Cz/qO0QiHz2J7gy9G5DkPK1VgbxZLoE7g8PGPJ3nTrzrM6Q8/Tb+PD8BcT13p6o7q+86PEl3QLzoR1Q9j/yaPR4/ubyaVTI8LrB2vCv+Fj3f+s+9wfscPWpiQzx6sz08v1hbu9YnwjzohM88ap8+vWgZtbzTyAg9Du4+vEi0u7yRCK49sjCsvf98gTvHH9a8mEmfuw+xw7y696Y8cik+Oys7Ej3ktbe8bhGYvK6+Uj033bc7Z0AFPDfAf7xPFXC8ZeTWOw90SL39c3k73Ev7vF88Dz1EvNi8EvpRu4D0rj32jDu92FANvRKA2zyZsvA8GUdWPAcRGbxhUrq7wb4hPYD0rj3T3jM8dZsXPYxNRrw6b1S9kxRBvBCRAL2B9K681ifCPD4eKT1ewJ28vIlDO/tHozw3oDy7TMxhPDy44rxRxMS8Tt8BPVY2Hj2aOPq8CMqFPS+QszwvkLM8fkXavDW07Ly9TEg8Zn2APLfrk7xqn745+sEZvDBze7102JK8UCgQvI5Z2brBoek7AAMLvcaZzLyPome9uKSAvVMqCzwwFr28jnYRve8OzzyzY487GwpbOpKu+rk+Hqk7b8oEPdCJEj0+pLK8K+HeOe9Lyjx0FQ49ZWpgPNYnwrxVVmG82dYWPcNEK73jbCk9b5ehO++IxbyDrZs7sm0nPF/s87whaIQ8Sf1JvRVsK7z+hpm7N/36PNVkPT2Kxzy7MV9LvZBl7LyzYw+9J/wbPQfBfTsU5iG9V7ynPY2zjD0LP+o87SL/upsYNzvm/sW8hzWgvBj+RzqPomc9iX4uPakWizwIcFI9UgFAvXRyzLtWNp67I5RaPPu3gT2Kxzw89QYyvR5f/Dzr9ii6kN/ivK6B1zzOI0w8k/6VPHLWlz1RpIE7NGvevOOppLxgCSw9BIsPvC49jTzRbNq808gIvZbj2DxnQAU8F3g+O2+XoTzUTpK8AAMLPYI9vTwUjG69hpJePA6lsDqoXR6+pXHOvF1aVzw/1xW9YK94PA+bmLv2T0A8EfpRvappMb0ZhNG8qJoZvScGNL2vB2G9uDQiPYc1IDxzr8e8Le1xO9PeMz2Tjrc8Q/lTvDigvLt5ivK8p7rcO2G4ALw6jIw8dX7fO5xhRTxcHdw88/oevfAOz7tXvKe9GieTvDtPETtnDSI7kEUpPDtvVDzpJ5G7cma5vBsKWzynXR484y8uvOyvFbwxnEa9JaDtPJFlbL1fzDA92lygPBYvMD1cd4+7HfYqveEGYz2KsZG84eYfvaCWIzxIYRW96zOkPIiecT1PMqg9FhL4PJJxfzu6uqu8AMYPvZEIrjwHEZm8LEclvH7oG70YeD493BUNPSbwiDseP7m8M8WROqosNrtKOkW9f1HtuJOOt7usD/46iSuIvdVkvbwdZgk9596CvYF6uLo/UQw9YthDPA4rujofnPc8UcTEvAGpV7wqW9W7+TuQPFgleT5qnz49lZpKvBMGZbwH6si8MT+IvM5gRz17Ixw9vQ/NPGpCAL3Bgaa8iNvsO/UGMj0UVoC8g2YIvc4jTD2MEMu88XSVPNLIiD1mDaK7zdo9PWQhUjtpiRM9wDiYurZI0ju+LIU7QrDFPIJ6ODwfAj480fJjvF7zgLx7Oce7udruPOD6T7z87W88igQ4PRwW7ry696Y8aBk1Pbnabj1qYsO8sjAsPCZDL7zLAY48LYQgPQ5L/TwLH6c8ap8+vRTJaTyMisE3JaBtO8qRL7zkL667Z5OrPIFkjTuGkl69a4sOvRe1OTsSnZM8f45ovBnehLug82E8XB3cvO0i/7ynXR685sFKvC16iDxSpAG9GmQOPdHyYz2KsRE9sVDvPBVsK73R8mM9X2ZqPDUEiLygeWs8+4SePZqSrbxO34G8EHRIOxUZBb1lxJO8zkCEu0AqvDul60S84eafPDQOoDyH+CQ9DRUPvBlH1juz6Rg9R071vGdABbyexwu6k463u0xG2Dw+xPW81aE4vd83Sz33EsW89qx+vCUthLpV+aK8GUdWPaWOhjzw7gu9CAeBPJ2qU73lO0E9XylvvGCPtbtnLeW7EwblPC+QMzy4zls8urorvAqZHT1fzLC7DFwiPQTy5bw33be7uioKvQDm0jzwDk88Z7NuvPaMOz3LdHc85WIRPM6dQj2xoAo7AMYPvftHI72pFgs9qZABPQ0C7zxkp1s9DMwAPBMjnbzBgaY933RGO7jO2zw9Hqk8IEtMvW/KhLyNltS828XxvBtwIb35Hli82j9ovURC4rtgeQo9aYkTPXDgL71PMii9YthDvcj/Er0xnEa9eS00vXT41TtmSp28BmS/uulwnzyFz1k9ZAGPPKBZqDwqW9U7iLspPIVJULy06Zg721KIPH7om7w+Puy6MSJQO5nPKL3JaOQ7S8BOvSeMvbvsnPU7nceLPIVJ0DxhuIA7g2YIPZ7HC727fTA8aDn4PFaf77w6jIy8/XN5PXCjtLy69yY9YDyPPfAOTzuxoAo8vAM6PWDMsLw+joc9gPSuu5V6Bzx3ISE7S4PTOlGkgbxlxJM8PqSyPF3gYDzcFQ29sVDvvE/1LD0d9iq8FdwJPTVBAz1vlyG71MH7vKzvurqRCK68+2fmvGGPtbzhBuM826WuPERfGr2PgiQ8HK2cvH9Rbbvg2gy9V2L0O0RC4jpvjYm8Ok8RvQs/arzJhZy71WS9u0BK/7t/qyC8w2RuO/09izzb4ik8QpCCPDqMjDyZVTK9KfIDvXqzPTwGZD+87mgCPF1aVzyVmkq8rLI/PJJx/7zIH1Y9/9m/OwMPnjzTGy+8Diu6O7q6q7qUtwK9GUdWvJcMpDxCkAI9WOj9vPnh3DsdZgm9utpuvIaSXj0KExQ9SbQ7PE/1LL0vU7i8FOYhPY8cXjzafOO8r+edvJaGmr1VVmG8FIzuO0n9ybxPMqg8WU5EvQTSojwVqSY9CTNXO8loZLsFyAq9sra1POszpDz3EsW8Q/lTvGoPHb2mFBA9+4QePJ6q0zwduS+9OE2WunqzPb3k1fq8eWCXPCxHpTtLg9M8u32wuigSRz1vt2S8bMgJvZsYt7tJ/ck8fzEqvBJDYL26Z4W8EvpRO2N7hToO7j68xbaEPCS9Jbw9WyQ8lyxnvWslyLyhBoI7RtuLPevZcDuxMKw8w618vN5UA73KkS+7/ZAxvK6eDzw0Sxu9nzBdPJh8grzbaDO8KngNvdQbL70bCls6UmeGvL2JQ7xq3Lm8NC5jvEBK/7x5YJc9xnkJvUQiHzz/2T+9xjyOPQt8Zb0t7fG8SJ6QvLDKZT3i5h+8gWQNvKrZDzpgzLC8FyUYvSZDrzyDw0a86ApZPeDaDLyg0x68B6G6vKkWCzwAAwu9FmITPO9oAr0MHyc9uHGdPGxOk7vpR1Q8OQaDvPWs/jtQXv473Ij2PIChCL1qnz69h2iDPMqRL7vEUL45+FtTPDY69rs7b9S7aMaOvcwXOTuLNxu9qZABPF7AnTuuvtK8amLDutWhOL3biHa9hGaIvPIa4rw4TRa9edqNvKsP/jzwlNi5Ua4ZOzQOoLuFKQ09HTOmOoyKQb3cxfG9gN6DPOvZcDwBbFw8uM7bvJ/z4TtUsBS99hJFuys7kryInvG7+sEZPWXk1jxPMqi886DrvBTmIbxVVmE8CMoFve18Mr3eN0s8Tt+BPSACvrw/FBG7EdqOvLOZ/bzkJZa8Er3WPGDMsLqbiJW86zOkO7iuGL0pmNA8bG5WvSxnaLvTO3I80/52O5U9DD1yr0e6oPNhvNriKb0OS/08cuzCPJthxTxASn+9igS4OsaZTD0Hobo7H3KcvVfvCryljga9G+oXPII9PbsRF4o9kEUpvEi0uzxsbla9dHJMPTBze706rE+81IsNvdsCbTxmauC8kL+fPABgybyRRSm9qCAjvKbXlDrggFm9kev1PHiKcjyCmns8iud/vbsjfTzxlFg9q2kxvMSNuTyQ8oK6r4FXPFlOxLymFBC7rHXEPLPzsDwDL2G8BJUnvQ90yDxHLjK8NGtePABgSb1Ziz+7AWzcu3hqLzz0JnW9BHjvvA5Lfbxim0i8DFyivSBynDxGqCi9S6ALvASLD7xGGAe90C9fvI/ygjwp1Uu9JiZ3OtoC7bpiFb88lBTBO71MyDxuemk9wN5kPUvATj2pxu+8kUUpvdHyYzurabE8uvemu7KN6ryWpl29WvGFujeKETzs9ii942ypvLAkmTtPe7a7YY81O5O3grw/Z7c80njtuorn/zwxAo082z/oOkl3QL0RvVa88/oevI2zDLtPMig9P2c3vUKwxTyhliO9OskHu//ZvzuCPT09Tt+BvDhjwbybGDe8zYcXPNj2WTsG3jU8wS4APRj+xzzCJ/O8Mj8IPammLL17dsI8iX4uvGKbSDxqQoC9kTsRvDQuYzzXM9U7d6cqvAMPHr2ljga9aAOKO+2c9bwfnPc8SCQavdpcID0VjO66sRoBPC7Nrjw43bc87SL/u+iET72Cmvs8gKEIPeXoGjzQqdU7mc+oPI+CpLvDRCs99CZ1PXp2Qj2oQOY8wHWTPdzYET0PdEi9YVI6OzGcRj1CkAI8nGHFu0/1LDyb2zs97Jz1OyyEoLvR8mO9PBKWOyaAKj2fEJo7+6RhPG8HAL18glU81aG4PK/nnbuwqqI67XyyvHzciLxsi447NA4gvOx8srrN2j296a0avATSojwZwcw8ZD6KO+nNXb34eIs8LOFevT+kMj04oDy8rp6PPA5otTzjbCk6T/UsPT8BcTzhQ967kQiuvPyQMT3YuV68GaGJPN2bFr3lO8E8ZcQTvbQ8PzytOMk8M8URuy8WPbzKewQ76EdUPWxOkztd4GA80gUEPREXirsMzAC9gZxAPDe+QjsXqEO95ECvuv7MNbyv2029getHu9c0lj3We0W8Z0okvGtyK73ZB3G9PIIlva/bTbzh81o8lk/Hu8ECqbw26Py857+VPBq7LTqCYta87ZC9PG3xkbwo5Lu7vBl5Pfd8J7wtqB67i5CCuzo10Tx9nnO7FbAbvMhaD70gfxC9HVx2vL611LtsTd48vdohO6HXjLzhV/+8A9DvPMoDsDw20187vD7GO4+4CTzbRwA6h4rdvBg077oX0n08rGyXvWJcB71TctC8AKjoO9S9hzwH41m8cRkZvQswrjv4GIO9wvL4O4dgo726jc280lO+O85A1DwdMjw6XTQAvdw/KL3aji89iSa5vJwD+jxjDQC97yyZvE9vljteSR09qVFVPGdKpLwhRaa8QXgaPLIYcjuaKEe8ooiFvObxJz2mdqI6X+plPBkf0rsYbtm8ufFxO4xOQD1oEDq8XXNXPBeTJjzcfv+8yKE+vXFLK70wJ4U80AZqvUj6urtmdF68BKa1vI0khjpnSiS8VunevKUUsbzzPwO9Dx7LPNwveL2XAMA73uDwu5YlDTzKLeq8kYvkPNhW+LyPmxQ9gN4CPZ87sTrhA4s8W61BvHsFAzxsTV66U4KAPKUUMT08l8I76VMZvAfzCT0ZH1I9LPclPEZujzx+X5y7KL9uPGj7nD0vChA8ackKPK/bTbypPLg8wO2LvYNNOTxYhbq7rU+ivBkfUrs24w89HusMPdZmKL3cPyg7Bx1EPTv75jztkD28wDyTPXfqwL3otz09goejvZmxuLytTyK9YbD7PBOq9rw2+Cw8d9WjvMykeLxNvp09kjzdu4rsTr2tTyK9+7nLuz4O0TzZyBm9BwgnvDu8jzv+1I08hnXAvJnbcrwNr5Q9zkBUvS3n9byGdcA84RiovNmjzLyYuZC8FOoFvVo2Mz18y5g9XheLPC3SWLxO07q83svTuv/h0rz9MFq7tbRNvMlStzxsYns8c8I5vbmNTby8Gfk7EdcbPVvSDrbiyaC8CyD+O/KT9zvcaWI9h4pdvZ9DiTyfQ4k7lUICPae1+bsZH9K80AbqO2eJ+zzgZ688wQKpPEwqGjoJlFK90JUAvTUi5zxrh0i7UvvBPBOAPL0fDW+91maovZ2KuL3Eo3E9D1i1PDNHNLxvdeU8qScbvFv8yLxI0IC8AUTEPBu7rTzMpPg8UQMavad2Ij1jIp0781SguzkoDL31thG9HR2fPFYOLDx9dLm67kE2PeUrkjzvLJk7cucGPYuIKjsXkya9O9EsPZsbAr0EV647A64NPYN38zv5+w097Mqnu64VOL12/927OjVRvFe/JD3h5pU6JwkJvYHBDT27FIw9op0iOiI1drodMry8i3ONvLqNzTySUXo8chHBPPQatrwObVI8eYYcPev0Yb1y/CO9ebBWPHEZGT1Ymtc8RpjJOhHXm7zpQ2m8eZu5vMlSt7wIlNI8N6klvaEWZLusT6I9J139PC2oHj3Z3bY8p6BcPYxWmLvitIO7SbOLvIxOQL1Lccm7BYFoPAcIpztz7PM8kWGqvezKJz3CnoQ86/Rhvce22zxAqqw8OQsXvg19gjuSAvM8O7yPvPkdcDw5Su47Qkv1POVVTL0gWkO9xKPxu5LtVb1o+xy9rgCbvNsNFj1qnOU89bt+vAj4drv8QIo8kWEqPSI19ryqF2u8g005vY7qGz19nnO7R0nCvF/q5bubPeQ7sSgiPYUobLzzab27YiKdvWTwCrzd2wO6PgGMPNJ9eDsHR/48A8sCvey69zuwjMY7ROfQPF8k0Dyg9AE9R3P8uxqJm7zG8EW9asGyPECqLD1q62w9v1mIvQi5H70f4zQ92rjpvFYOrDuLiCo8FDE1vd0aWzyVdJQ8bem5PaeLv7tOqYC7U5cdvfxVJ70x0KW7mLmQvEflHTw301+93rY2PXYPDj2bGwI9QL9JvUaYybuNKfM8ZsPlvFA1rDxu1Bw8dtUjPBGlCb0MvNm8OiC0vNqWh70+M568E1aCPNS9Bz2fQ4k8CJRSvNXKTDv4LaC8UrQSvGqc5TxN/XQ+6X1TPX2e8zz5+w284fPaO9W1L72nYYU8+FfaPN6+jjsn7JO84QOLvG+asjs201880JUAvY+bFLt2D449a03eOv0GIDyv8Oo8Lef1vK15XD3xoye8+2pEPRM5Dby3K9y86i7Mu8BmTT22WAG9pT7ruxNG0rwXkya8sLETuxTqBby3K9y8kXZHPD5IOz0C4B+8WjazO1A1rD2IO9a8+2rEvDRxbrxyyhE9o3hVuzhvuzwPgm88MCcFPOUrEr1nSiS8khKju4Gx3btrOEE8liUNPNjyUztCKRO7dxT7vH10uTpz11a8IiBZuw9DGDzi3r08mXdOPCITlDwzbIG8tjsMvcQVk7wTax89SCR1vax53Dzaji89nbRyPJ3EIj1KXKy8y4IWPY7qmzyjaxC8KYAXPfDyrj1qnOW8e+iNO4EAZTzHtlu9q6aBvGMinTsI49k87HsgPNF4izz/hQY92AIEPFLRhzwYNG886/ThPNwNlrx6J+U85fGnvMAs47wBREQ67xzpuncU+7yFtwI9vD5GvW+vz7tD0rO7kjzdO4d9mD24xze8W+eruWCrDjxTrDq9rGQ/Pa/bTbyRdsc8cFMDPEflHbujY7g78PKuuvu5SzyK1zE9IvYePBTirTwudgy94Qj4ObMD1bxRAxo9emHPPJ51G70jxIw9Xjntux7rjLvozNo8klH6O4hQ87zL3uK8gaQYPTLQJT07vA89TduSPVA1LDxDNli7rT9yPSz3Jb2tZD88R3N8vFOXHb0hRaY4ripVvCAwibz3SpW8FBwYvJYImLymxSk7KL9uvOzfxDyni7+78eJ+PL6gN70V90q9i5CCvNZmKL11TmW8w4EPvK7OCDzajq87GR/SO0s33zzQ8cw8D21SPUz4Bz2ChyM98KMnvWDVSLss96W7YiIdvf0GILyEE8+8gevHO7MD1byyZ/m8TA0lPCmdjDxWI8k65tyKPDLQpTyriYy8wsg+O15zVz2NOSO9Yj8Svd0FPj0udgy8M6vYPAPgnz3aeRI86i7MvDOWOz2Zd068Lm40PfxACrsTOQ08xcaLOo3/uLyViTG8Dx5LPLsUjDwjxAy8HEfZvPhX2rxim9480KJFvCtwZz2ChyM9RzQlPG3+1ry8KSm9h5/6vCtwZ70NvFk8Jx6mPBTiLbzokvC89fVoPIxjXbt1c7I70MeSu8jLeLxT1nQ9xFTqPGIiHb0s4gi97yyZvPQv0zhmhA67wRdGPXIRwbwTW+88vqgPPTyfGjzDjtQ8Y9OVPDbjDzzqLsw8wbMhvbIThTzgUhI9H+M0vP7MNbw0ce68Jx6mPIHWqryFmg08xSqwPFBKSTxCKRM8+2pEvSjPnryCh6O5DPZDPWKb3ruK1zG76/Rhvf+3mLzVta88WjazPGFxpDxSrDq8vqA3vEP3gDv/hYa6dV6VvJBhqjtz19a7FrCbu/qsBr2yGPK8aPucvAiUUrysedw82cgZPZs9ZDz7lH48TehXvcKehLw8UBM8s/YPuyS8NL0HR/47USX8PNs/qD1hcaS7MCcFvXmGnDxcmCS9Lx+tvMzJxbwJahg9eYYcvMzJxTy2ZUY7SNAAvRNWArpy54Y86OF3O0F4mrzmBkW9O8H8vJLt1buYuRA9qfWIu1bpXjydxCK96hmvu5VCgrwlbS08aXoDvBhEHz2RYSq9zY9bPW+vT7314Ms7dIhPPGnJiryyE4W8iuxOvFYjST3CnoS8hdlkuuSk0zsXqEO97Lp3vMepFr01+Ky6cGBIvGdfQbww+l88mmKxPRu7rby+qA+77MqnvBM5jT38f2E8E1YCPP+n6LxRA5o94t69ux/OlzwflC298AdMvaueqTv2fKe6GuXnO3sFAz0dCAK9ZNMVvE6Z0LyeZes83RpbvASRGLsx7Rq7LcWTPJ47MbzokvC8jSnzvHjF87zw8i695TB/vNS9hzzB7Yu85Llwvf0GID0R1xu8WIU6vOlotjwiExQ9gmLWPI05I70PWDU98bhEvMYF47xjEu28rirVOSj52Lvkehm9/QagvTLAdTy+oLc8Pkg7vYkRHDxKlhY9ciZeu67GMDyCxvo8lHQUPABpkbyXFV28ClrovZlqibvkSAc8vqgPPZfWhbzitIM7M5Y7uwpaaLx38hi8tlgBPGj7nDzaeRI9aPscPVrvAzs+cvW7MAqQPMoLiLybEyq9RzQlPUde3zsUHBi9qTy4POy697tmZ5m8b5oyOy8KELy+tVQ8GG7ZOy2oHjuO6hu9ZnTePHImXr0DywK7SpYWPZFhKj3Htls9tKeIOyY7G70R5GC7CyD+PHUsgzxk6DI8aPscvcl88buZagk9CanvvI7qG70zRzQ7KlvKvHmGnLss9yW8qWbyPOAtxTxPX+Y71AS3O/neGD3Q3C+9I/YevdQZVLzevg48GC+CvYJ3czm/WQi9shOFvLF3qbtb/Ei8/QYgvSTRUTwrRq08KlvKvIwkhr0Nr5Q85I+2POlTmTxAv0k9YpvevFo2szuCh6M8UeYkvKoCzjy8GXk8uce3O0gCk71n+5w7/4UGvdzwIDxxSyu9QkYIPLCMxrsTOQ28EogUvIKcQL1Xqoc8BVeuvB1HWb0YRB89U9b0vHVelbyMOSM6qshjvPwbPbyFtwI9CX+1vGaEDr0EVy68+fM1PXBgSD1MDSU89NMGPeAgAD2h3Hk9psUpvH2uI70Afq67u1NjOy9J57tnX0G8Hw1vvOBnr7uinaK81maovf/hUrwougG96hkvvKD0gbzYAoS91zSWuygO9rv04Ms8OCiMPSFFpjsR15u9e/2qu7W0zTxmw+U8Y9OVPL61VL3Eebc81pBivT5Iu7xrh8g6J+yTO8AXRrzhAwu920cAPeYb4rxD0rM82rjpPI1j3bzgA4s6EORgvc1V8Tyi3Pm8ARoKPRyW4Lz1yy49wQIpvcOBj7xI+jq8F25ZO7TutzvtkL28W/zIu9Dcrzz004a82d22OfTTBr0V4i09R15fOpi5ELxiXAc9DX0CvEPSMzx9fBG9T28WPOoZLz26eLA75LnwunLscz3gZy893D+oPMepFjxb/Eg9OFoePDeUCD22ZUY9pqBcuqbFKbzAZs08c62cPCVtrbylPuu8WFsAPA5t0jsmM8M84bQDvC3SWDvReAu8pc2BudJTvjzGqZa91qV/PfHi/juaKEe8Rx+Ive5BtrwRuia8+C0gOn8tCr0jvDS7gpzAvLsxgboclmA8W+eruj1QE72QYaq8KJW0PN3woL319Wg8LcUTve8HTLvVoBI9dtUjvKeLvzzm8Sc9ejeVvI1j3byg9IE9juqbPMXbKDlg1ci8gaSYvCjku7ztZgM8N4TYuiiq0Tp4xfO8V/57PNtHAD0ywHW8TpnQPPu5yzvF44A83dsDvHSu1jp6fjo9hhGfO+VVG72OLwO9p1OUvVHstbwqgTE91bNEPGPnt7yJXx+9pPZ4vAQ9rTu8KaW8UJHSu8FdX7wOGks8xHd8O1h9i7wMv+c7F1+vvErB7jmwLvq8b3ocPGzGjby/q4i7A+LJPLOyFTy+6F68Cdktve09ZDq8XQg8XUu3vZzld72H0hC9uEzevB5Wk70cx0w8rRaVvHJiDj1XvBm7PHwzPGY1uLuSCFq9vI37PIbdO72+HMK8CLItu7RmJL0YUkw7qdO/O6nTP7tP0hg920JiO7z1Qb2DW9i8lb6gvYx5PL0E1Wa9/5UBvbSj+jxdF9Q8sSUHvfipSDxmNTi8tKN6Pb8PXz2jqPg8K0DrvDauB7s8fLM83vioPeW7qbyka6I8HPuvvFBd7zzTjMS8z699vPJ1jrx7pTo96NVGPNpPxbvNYX28yuOJOoEN2LztcUc9He5MPJomvrmDW9g7w4YXPGudVTtqqrg7fQCeu9am4bwu9jG90s2KvNuqqLzKe0M7Sim1vFxYmroPDeg7C5hnvAMWrbtdfxq9RGY0vcqvprwrdM48dK5WOrPkwDzXaQu6hzgfPV9l1Dig9qE80jFhPSNWar0xRLI7Hu7MvLxdiLxYbnA8IXCwvJTLA7yhUYU9TXe1OzNeT7x9zDq8GnlMvNfNYTwhPE27NVFsvCwDFTzfH6m8KSgGO/k4j73Ke8M8CQ2RO8i8iTusiYY8tycWPP9ugTy+HEK8win8OwPiSTzZwP67OfpPvVdWiz15sp293x8pPUgPGL1ziY48njN4u0SNNLyj3hO7xy3DPCbYzbxv3nK8GIYvPYytnzpvEla9kCKgvMIp/Luemz49rztdvTliljxXIPC8/B7JPOnv4zyDW1g8y3AYPQkNEb2Y2L28uE4WPT7KszyK6nW9K9wUPX/oj7srdgY948gMPZbloDxfppo8V7yZuuPIDL17pbq8CQ0RvbFV+rvLCgo9ktR2Pa873buDwx697BbkPNXnJzxZolM73TX/vEUl7rseIrA8E4LoPHChnL2BdR49ZmmbPGQOOLy3jaS7jvsfvY77nztziQ49xBOmPJqOhDzxTg49+TgPvY0Ig7vNleA8ndyEvKeFP7x6fjq9fr9XvHulur1ZolO9USAZPaOoeDzqV6q77dmNPEkCtbys7Vy8vCmlPLucljx0SoA9M5KyPROCaL2SPL08YJm3O8pH4LspWjE9zcnDPH9OnjomDDE9RDLRvI04drrZKEW8HJPpvI4vAz2YDCG8vw/fvKSfhTtB5gi95nwbvFQG0zu8KaW75nybPceVCT0Ifsq5yq8mvd6Q4ryM4YI9K9wUvO7MKr3H+xc9bxJWPSvclLztpao7QgvROzpVMzzKe0O8EsMuPAD8Dz0F/OY7ug+IPNHW/Tw67ey8b3ocvWqqOLwW0Gg8U0eZuiOMBTynUVy9D3WuO9qDqLvx5sc77ErHu5VW2ruknwU8X6YaPRJb6DwB76w8rLl5vPQ0yDtnkJs7GuESvH6/V70vHbK9PW9QvMuiQzy3WUE9qdO/OvVdgL2knwU9AGBmPHO7ubyRFT09+8NlPMStF77bRBq8vPVBPYwR9rxqqjg8wAL8Ovv5gDs1hwe9X3K3OzKSsjuaWqE8gamBvFOr77wB76y8XUu3u8fs/LvdncW7RkzuPDx8sz39EWY6ZNwMvLdZQTvRPsQ8ez10vNuqKL2l9vg8vCklvFMTNrsM88q8jvufvAeLLb3sFuQ85JQpOrWaB7yg9qG8UJFSPKk7Bj10Fp08hba7u3KUObywYt08PpiIPYF1nrw6VbM8KoGxvHpMjzylxoU8KfLqPFUtU7wiY828FN1LPWYDDb2xVfq85npjucStF73SzQo8uOiHPT7KMz1cJLc81Et+vLyN+7ya9BK9aywcPRrhErzi0X+8wl3fvJDuvDwECwI8bMTVPJwZWzqH0pA9xN9CO2/e8rv0AGU8oJCTu2Y1OD2z5MC812kLvK0UXT1js1S9luWgO38auzy1/t286PxGPKhE+bwMv+c7K3ROvWZpm7xC1207UF1vPlMTNj38Uiw8GuGSvNHWfTy/ERe9ziSnvNVL/jvuzKq8sxgkvdNambz0NEi8rztdPWPnNzyS1Pa8ee9zPcpJmLwIfso8Sc7RPFkKGrx6FvQ8LiqVu8NHiT2Z/707dBYdvEWNtLzh3mI8A0oQvRMekjvLOv283TV/vKQDXDsp8mo8294Lvdodmjq/d6U8mcvavFzw07yv1wY9v9t7PCGkk7x0Fh07+/kAPEopNTucGds6dOI5PMjs/DxMhBi9fr/Xu+VT4zuC0AG9kBU9vHdknbwaecw7JkCUPHIsc70LAK68QnMXvI6VkTzEd/y715l+PDPGlTx8ZHQ8NXhsvK+jo7zo/Ea826qoPGCZN72BDVg9OS4zPR666TwiyxM9QL1QvcvWJj1dSzc9DoKRvK18I7zL1qY9QeYIvF9yt7xrndW6awUcvZAiIDuK6vW74qGMPIec9Tsa4ZI9bh85PbcnFrvat4s8AMgsvJWKPT3Z9pk8jWzZvPweybxU0m87Lx2yPM0xCr3NYX28q/o/PGZpG71vRjm98RqrvIlfn7yYQIQ9SKdRPLHxozzOJCc8hYJYvEC9UDx7pbo8ktR2vA6CETxQXe+6W/02PT7+lru1yvo8a9G4PMdhpjxPbIo99ADlvFPhCrwqTc68Ab0BPPAnDjwls4W9pSwUPQz1gjw8fDO8NIVPu2O1DDylxgW9+QQsvfRoKz24GHs94UYpPbMYpD37Xw88pSrcvNWzxLut4Pm8ykfgPG/e8rxwbbm9PLAWPAX85ruwyqO8zZeYPATVZr3uzCq9RY20PCuoMT0RkYM9vhxCvSny6rykNz+9/RHmvGXNcTxj57e8RY20vMZuiTyhtxM9tHOHvGreGz02eOw815n+PKOo+DwrdM48HPuvPAsALrt7pTo9ImWFvIkrvLz50Ei8rCFAvVdUU7xUOra8tKP6vGKM1LyajgQ9H0kwPVCR0jyxJYc8SSk1PBRFkrpFgNE8D0MDPcae/LzoCSo91qZhvJwZWzsfSbA9OWIWvYc4n7zL1qY9OJ9sPJblID2KugK8uqfBPIWEELycGVs83viovJkzIT3Nl5i8YozUvAkNEb2xid07sYsVPPVdAL38IIE9ASOQPMIp/Lna5/68pcaFvPkErLxEMlG9uIBBvGi3Gz12PR28jTj2vHPvHD28KSW9MmuyvN74qDvqI0e88Ivku1v9tjzNYf27xy1DvZn/vbqrxty7Hrppuy4qlTvpMKo7jvsfPUGw7Ty46Ae92fThOowR9rwOTq685uIpPDJrMj0boEy7njN4PWp4jTymUxS81nJ+vAiAAryKhp88TFC1uioZ67t7cw+9keMRPYXqHr1gZdS6dzA6u3/oDz0euum6mcvaPJGt9ryx8SM87syquytA6zuCnB482reLPKdR3Lzp7+M8JgyxvClaMTorqDG94UYpvRKPy7tgZ4w8rwd6vd3RqLsT6q68uwIlvN7ERT1wOda7yIimO0wPb710evM7kIb2PDn8B7yFTnW9hbY7vXYJOj13/g48A0oQPV1/Gr2VWJK8zf2mvPk4j7y1MsE8gUG7PIzhAr2G3bu8dnEAPXsNAb37K6y71kKLPDbgsry4GPu6RCVuvS72sbyCAPW8M15PvaQ3P7wJp4I97H4qvcY6JrwpWjG9JgyxvM1hfTwmDDE8tP7dO8R3fLwEPS29/9QPPZF9AzyVIvc7/a2PvHfI87vXAUU96chjvGLAN7xCC9E7+yusvWzGDb2N1J+8QnMXPYiTAr1+Gju8z699vIzhgjx+i3S8FjivvIPDnrzoo5s8/IYPvU8277vjYEa8Eo9LPQVkrbyRFT097syqPMA4F70T6q47Zs3xPGBl1DuNbNk804zEu79Dwjw8FO274tH/uxKPS72r+j87OcZsvJHhWT1gmbc8GLqSu5Z9WjsHWYK8blOcO7wpJbxcWJo8tNkVPHqynbyx8SM9qdM/u4n32DtwbTk89Y8rvHiLnTvEd3y8/CCBPbhMXr3PSye8f+iPO1h9izwc+y89VDo2vdMkfr1dF9S7K6ixPKcd+bzxTo482PRhvGTcjD2Dwx48B1dKvQeLLbxdGQw8uLSkPDxI0L15vwA9fZqPvCt0zjzsFmS8+dDIO0WNtLwpJs67u5wWvQ3mZzyKhh898IvkPDVRbDxu61W9ZjU4PAnZLT2MEfa8q/o/vA91rjtAie081tpEvEQy0byc5Xe8ODsWvbDKI7z4qci8GIYvPHChnL1yLHM7Lx2yPLiAQTsU3cu9I1bqO8Jd3zx7pbo8bPg4PX6LdDxfPlS7MyrsvFdU0zxgZVQ9z+NgPBoIk7yeA4W6jK0fPd/rxTzXAUW95YfGvJx0PrwTgui8oek+PBO4gz1/Gjs9907lPFd707zt2Y09mr73vLfx+ryZ/728OfrPPHJiDr0eIrA70c0Kvd74KL0LzEo8Y+e3ui7Czrug9qG8T541u3A7jr1wOda6YsA3vHSu1jzG0l+81qZhPe09ZL1jtYw85bspPMpHYLsYuhK9aqq4vMgiGLytfCM5fGR0PJVWWrqtFhU9aXZVvDpVszxmNbg8oI5bPN1rGr2BQbu8hU51vGPnt7zqVyq9VNLvPPGyZLyvYl08nBnbu7MYpLzq8Ru8zZeYPGpCcrzkYMY7FgYEvVUtUz0hPgU9HvCEPNIxYT1RIJk8AbtJPPnQyLySChK9D3WuOzpVM72OL4O7zxfEvLIYpLsECUo8qHjcPLrbJL0N5me83QUMu6yJBjzk+P+7mKRavJAioDyNoLy8rUhAPGco1TtvBXM837kavV9yNzvkLps8VZWZPLp1ljuVVtq8CErnO9NaGb3wi+S6E7ZLPaisP7wfFU28pV6/vHMjADxJzlG8NXhsvGLANzyxid27p+0FvWl2Vbwm2gW9bMYNvWl2VT3H+d88o3gFPY2gPL0HWYK7w7jCOw3m57tmkBu8C/PKuqh6FL3IvIm8fMw6vXp+ujwcyYS8TBzSOws0kTmajoS6keFZPXA7jjxrLBy9sJZAvSIv6jtRuNI8a9E4PGssnLw1uTI9b0Y5O74cQj1zu7k8CXHnPHcwurwJ2a08xHd8PcgimLxqaXK8VWE2PdcBxbw4Oxa8D5yuvLRzhztjf/G8XFgaPX4nHr28KaU8RDLRvD1vULzFBkM9QgvRvI3UHz2n7YW8g10QvZgMIb35OA+9I4rNvDW5sjwhPM27oYF4PMZuib0tZ+u8dj0dPIWEkDyO+5+8sVX6u+nKmzyWfVq9BWStPAOuZrxIqYk7IXAwPPC/R713yHM9B1kCPSczsTuVIne9oxA/PQQ9rTx9zLo70yR+vGco1TyWSfe8mKRaO2z4uLzeLAw8CdktvP9ugT0U3Us8ZgFVPCcBBj1yLHM8mc0SPe2lKrvaKxm5iRMaPUFqAb0jhSa9BGgNvdgmGr3cIyq753pDPRdhzDz4y/y86LpwvSM1G70+rZ48g0FavPCRr7vZxjC7FFTevMALEDy/3mU8FiEfPUTqW71Z1ZY7k0X4PP81ZDzDaAk852plvG+TJz3ZBt68Zlz/vF2KCr3NdwY7oTYTuwi9l73DaAm9PeDdvEm0rDv+pSu9dVWJvH433LxbBeY8qsDrvD7Qf7v13so8+IvPvAVQQDr1fmG9qYC+vKvdtzsSJI+8B5DtvLlRHTwbrue7jbgvPV8SVL0hGE+9do3HvCt/Rr3hAH69azauvcT4Qbz7mL08rW3wPFIrAr1XGLS83CMqO9VpNz1IxAo926Z0PN5T+byI7t68XFXxPBhRbj1jr/q75UIFPFLuebtjX+88yAUwO4VuBL3wQSS9DhchPT2AdLzuhEE9nomOvEHd7TzZxrC8TBEmPXDDdrxhL6A7AvPGvD4FGTwPtze70lxJvZ3hCL0vHO07z5/mvOxMAztv47K8ejrMPJcfp7ww+Qu9uQGSNSBo2jtnmQe8C2ocvYUx/Lz/NWS8tQQCOyqPJLxsJtA8sIq8O+HdHD0ZHq+7GR4vPY+Ycz3u1Ey92ysZvZG1v7wWIR+7eJo1vEUPF7t8r5K7nLxNPa76g7yo4Kc7igsrPHOAWbwO6vY8Qd1tvIeusbvb9v87804Svc6/ojylc1C9M3lmPAWwqbx8pyM8BVBAvDkjez3WCc48BbCpvHynozsCM/Q8UyMTPJby/LwJrTk9geRgvQuN/Tx8V5g7SGyQPG7zEDuiJrW7d93SPJcvBT1adS08pYMuvNlmRz2F4fC8wutTvYybY7xr7pG7QzrnPKVzUL1CYpI8fwyMPOI1lzxW2AY95tqsvBBXTj16X4e8SMSKvLrxMz2yR5+7fUc6vdP8X7zSDD45FiEfPJhvsj3ycfM89c7sO4MBLb3RJIu8FSkOvSkS77soIk29bIY5PZxsQj0TBFM8NKYQvRV5GTyvmpo7FfR0u7OXKr2NaKQ8rS1DOzMp2zwFUEC9+0gyPWqeBrzkHUq8WahsPOY6ljrDYBo8VftnO/EhaLxm6ZI6SMQKPQmd2zuQxZ08NZYyPYkTGr36qJs8PZDSvHY9vLzRzJC9jOtuvUfnaz39BZU8y2IpvP0o9rxKVMO8BGCevCUV3zxbFcQ8N6uPPfOenT3Pr0S90rwyPWTcpDwTFDE8aXnLPF0yED1kzEY8Y19vPeI9Br27MeE8V2i/vC0PfzsIDSM9sHpeuzCpAL2tzdk82zMIvS08KTyKC6s7O1AlvZYCWz1O8ek8ZumSO9JsJ71UC0a96TemPLakGDw3dva88iHoOU2xPD2TggC9iRuJPPUuVjsTFDG8jRiZvNd2JbzRHBw9+gAWvX+8gDwx6a27hg6bvC1Mh7wu3D+6M3lmPG9z6zwn0kG8FYEIvXynozyRVVa7mxy3PCsvuzvDwAO9WC0RPNOc9jy9Pk87cpA3PMbFAj0NzwQ8wxAPvDaGVLy8BhG9856dvV9iX7sTtMe8Vpv+PGjZNLx8pyO90mwnPQC7iDxA7Uu8xfhBPS8cbTwVKQ6+O1ClvN+AIz1PQfW8XYKbPDKJxDzWucI81VlZvIoLK7wngrY8VjABvSnC47zUgQS9ysISvPZTETxw+I+8/xIDvKjolj03A4o9gKSzOztYlLy5WYw7vU6tvBIkjzyQxZ28Ym9NPF8SVLyoQJE8AbMZvebaLL02Jmu9eFIZu2UssDtewkg7di1evKVzUDxXyKi558rOu5DofrzdU3k800zrPK9Kjz3BO9+8uQkBPaeYC73ECKA8Rb+Lugy6pzy2lDo6hKFDvWEvoDxiH0K9oeYHvb+rJjwoIk29k/XsurWshz0SxKU8Ks9RPctiKTxVS3O92cYwvfZTET2xyum87xR6u25DnLzpNyY8jJtjOy48KT3G6OO8zQ+uPC1EGLxYLRG8hg4bPQZA4rs15j09DLqnvKGp/7z6sAo9TbE8vcxSyzzgIDo9IghxvMQIID19l8W8f2SGvGc5HrzLYqm8EUfwPPyIXz5LlHA9Ky+7PNep5LyHrjE9a+6Rvco1/7uGXqa7pnNQu+k/Fb16ile9GR6vvLsxYT3As5U88z40vCgiTT2pgL47bkOcPCTVMT0HbQy9lHKiPPJWAbwNqkk9XiIyvNh+lLy8tgW95V33u9IMvrwpEu87yAWwOzmTQrz/NWS8ccN2Oqkws7y8DgC6OmCDPehq5bthz7a84o0RPQ2qSTo/Pde8oFn0OodOSLydiY46efqePBzjgLzp55o7uITcvHhSGb2ypwi8LyxLvfEhaDz6CAW8S0RlPL+rJjsJrbm82lbpvM4PLjsvzGE7MGx4u9srmbuCUbg62CaaPNkWvLwtnBK8TBGmvD/9qTwMuie9/zXkPG8zvjwJrTk9tpQ6PWiJKb0uPCk9AjN0PWUM9DwDk108H6t3PbVEL7x5+p68P001POXqirxBuow8i0tYvDnT7zxkzMa4OwAaPRGXez1nOZ48acnWPMD7sbwVeZk8wKsmPe6EQbwHHQG95oohPRUpjjwiCHG8wYtqvNSBBLsBYw69c+BCvfSOv7wbXly8hz5qPSHIQz015j28BLiYPMQIoLvmiqE8c3D7PFmo7Dwrf0Y83bNivM//TzyVErk8MslxPNv2/zyeebC80J9mPfHhurywKlM8GN6BPNjWjjwlZeo7kMWdvbkJgTwsv3O750cEOmM8DryLq0E7fwSdvFS7Or16t4E906zUPPiLTzyYD0k968feO4KEdztWaD+8jJtjvZcfJz39tYm8+IvPvAEDJbwJPfI8j0jovJcPSTwBAyW9QqquPDd29jyzRx89Ce1mPUW3nLzHvRM9/Sh2vOfKzryeiY48hZHlu52sb7zWucI8JuoOParQSTwjhSY92/Z/vMQIoDyyTw49vy7xPHaNRz3tlB+9nGxCPaYT5zp/vAC91cmgvGIfQr3z/oY6+0iyvEhskLxlLLC8TMkJPZNyIj33O8S7++jIPM0fjLuGFoq7HCudPE8mgzz467i8y2KpPHOAWbycbEK6daWUPYNRuLxlfLu81RmsPYlzA7v3S6I9DncKveBwRT3ekIG85V33u6MWV7vVySA9JjoavbPntbwDQ9K8dJ0lvMFLvbt/DIw7Z5kHPQsakT3h3Zy8QbqMvLjU57t3fWm6w2gJveI1Fz3lQgU9WTUAvdUZLL2afCA8RIryvKMG+byQtT86YDcPvYzr7jybHLc7aRniuz0wab0QV868OoNkvHhSmTr1fuG8C419vOzsGT2u+oM9uw4AvbyB7DzUeZW8Effku3Stg7yA9L48SlTDvD61DT2PSOg8+vimuTKJRL0+0H88IHg4Pb1OrbsoIs07EdQDvYdOSD1PHhS9XFXxuposlTtPJgM8RWeRvIUx/DyVEjm9Q/o5vXStg7z6+CY8nTkDvby2Bb3ZZse82CYaPRIkjzxGpz68GH6YvTN5ZryDUbg7lyeWuQfFhr0t7B28JpoDvQ36VDwa/nI8HDOMvO7UzDwMmmu9Qd3tOy2kAT2bzKs73CMqvQtqHL0TZDw9Rb+LOwfFBj20x3m93NMevCjSwToYhoe7CF2uPP81ZDyAVCi8pmPyumq5eDzHFY68mF/UvN1j1zqokBy8CxqRu02h3rziAH66LUwHvLVEL7wMuie9/0VCPeDAUL0602+8AQMlvT2A9DpZhQs9BIP/PM5fOTxfsuq8fwQdvXbtMD0SxCU8Cf3EO6iQnDtjr3q888H+PN5T+bwR92Q84t0cOwfgeL2rnYq76O8JvbOXqjxu8xC9wFsbO7lBP7z/lc08+gCWvBH35LynY3K7z5/mPHlKKjxjr3q8HgthvMLrUz0Nqkm8VtAXPRJ0Gj0c2xG9WS2RPIkbCT1S04c8wAuQPZZS5rxTyxg9bcbmvE2xPDvKwhK9hl4mPNF0Fr0QV848oYaePB671TtaZU88zULtvEwZFb0RR3C7xUhNPYYWCjzqh7G8nxlHPafD27x00GQ72CYavIv7zLhPHpS60RwcvJEVKT1v4zK9w2CavP5VoLw7oDA9YX+rPGpGjL0zeWa9eorXO676Az1cVXG9sk+OPAPj6Dz0jj89bMZmvJNFeL0R9+S8Low0PCR1yDzF+MG9fZfFOx/gEL2Z/+o7gORgu4CkMzzfgCO9Nea9uzWWsrzJ5XO8cMP2POt307wQp1k8XnI9vfUe+DsfW2w9NDbJvJhvMrwxOTk9TvHpPA7HFb0NSuC8jljGvO/5B71jD2S8hl6mvD3gXTud/Pq8VFvRvFaAjDs6YAM9miyVvW0W8jufeTA9R/dJPRiGhzyTggA6wFsbPToj+7wqj6Q8Q0pFPSlHiDvbMwi8Ljwpu4NhFj3zThI9CA2jvBdhTLzzpgw7tQQCvWQcUrvIVTs9cNPUPMnlczwk1bG70XyFPQ2aa7vTrNS8akYMvVg1gD2sjSy9Zzmeu9+AI73hYGe9HCudO8/vcby9/qG8VnidOzGZIjxZLRG9kbU/u1Wr3LwfOAu7B+D4uysvOz2d/Pq8CBWSu1PLmLp+J/67TlFTvXSdJbxecj07hKHDvPuYvTy9Ps+8sNrHO7wGEb1/BB08gKQzPBXZgrz/1fq8VfvnvElkobwUpGm8r/IUvSgiTTu0N8E7flwXPPUuVrypgD68gFSoO5Qil7yTRfi8Yr9YvJNyIr1WMIE9YOeDPQeQ7Tv8iF89D7c3uuUN7Duo4Ke7p8PbvBzbkTv9DQS9FYEIvEgUljrp55q80lzJvPAxRj1Rrsy8gKSzvBX0dLz82Oo63pCBPNjWDjvZFjw9VAtGvcALELy1VA08Uu75PGl5y70f4JC81IEEPbxeCz3QT1s8RRcGvHz3LjwEEJO9Ca25vGTcJD3wQSS9ap4GvOHdHLwbrme74WDnujGZorp5+p48mtwJvLOXKr1mvOi8IzWbvEwRJrwfkIU9LewdPG/jMj0da8q8CwozvKiz/bzhsHK8QboMvEAteTwHxQa8BGiNvDGZIr3lkhA9FSmOvGjJVjx959A6XsLIvNepZD3u1Ew9ywLAvBoOUb3lDWw8cNPUPOWSkDzrx144s5cqPfCRL7zRP308F7FXPKMGeTxGV7O8/NhquztQJT1hf6u8YX+rvPDxGD1hLyC8wAuQvLNHn7zSDL68sIo8uvZbgD3DEA+8nfz6PJDFHb3k6oq5bcZmPQmtOb1o2TQ9oeaHPOS94Lzt5Kq8EfdkvSW1dbws9Ay9amltPBZxqrxUW9G85oohvTrTbzur3be60vxfvf5VoLwTtMc8iRuJvaTrhjw9gPS7eorXPKtFED1ww/a84CA6PZxsQj3Ov6K8Mxl9vfP+hjxB3e08cagEPRNkPL3z9he89I6/vO2UH7yfybu8PYD0PJDFnbwAC5Q9dU0aPTugsLyF4XA8a+6RPO3kKj0m6g68vnJFPHWw+jyoJhW9MyiivDrXh7xILSe9j8z3vD7qKT1hgQM9YsRYuccfwLyiwEW9k+VaPD7qqbyS4++76Oi3PKltQDyp7jW7qW1AvIeg8jvvkVw7FHDhOh2kkjxuB9Y6hJEmu3UzW7zvkVw9FfUsupBXBL1sBWu9exyLO7EauzsOSp29zktFvSC7Cr1YBLy8GAT5vMMGXbxyoS69wwjIPMow9zjKtcI8j0/YO1eDRr2pZ/88Bp+NvIB6Lr2mWh68w4VnvaE7+joT72s8UFfBvMVZij0NRNy8Zl4xvUy96Du3w1+9MF4WvXW0UL3wFii80mQou9yjTz1yIiS9gPk4PPZAwjq0sig9DURcPG4LLDzZCfe8XzKsPE/YNjzsfjo9yrPXvLoWDTyq8gu9VHCkPJsZjLw+6im9ijpLvPe7dj1a1Ig8+9wFvIcnKTw+aTS8QYCsvTOplzxe64A8K/jGvM7Kz7t96IE7uMsLvAKCVLsuivO7dTkcvdjIDL1MvWg8SSs8vaE9ZTyaFba8v+15O2rw3TyDSBA8hyFoPKG+Wr24Spa8ciC5u54m7TyaE8u8MqNWPfdCLbzS5wg9GQylPGitiDwoaIU9GQwlvVBT6ztwWBi85E5fvCC7ijwuinM7gf2OO3Tumj0cnOY7+1klPBugPDwZjRq9LopzPJcClLyeLC49KOePugkt5LzZjkK6vF24vVRwJD1BgKy80BsSPLGbMD2TaqY8aXFTuu+RXLxEGBo7+tLuu2pt/bqbF6G8+1c6PeA3Z73vDnw8Wxs0vJ4m7bqMQAy89vuBvCv08Dt1smU9VHCkvD5pNLxHZYY9gHRtvKE7er0dpBK9PuopvAqwRLoxYIG97AMGPTKh6zvS4cc80mSoO1sdn7tXAGY9ploevBkMJb2IpjM9k2bQvNqUg73ZC+I8PuopvEy7/Ty2/5Q9k2qmO7jHNTzcXg+9dTFwvaJDJr0uCf68EN40vUQYmjz9J4c9lvj8uiPKVjyMQIw80uHHPLhE1TxB+fW8DcXRO6ltQDzsemQ8uMuLva9UBT1MPPM7CGuEu9kJ9ztFlyS9F8MOPIs6Sz1JLxK8SCV7u5NqpjyZTRW9v/HPvOyCEDvjUEo8ht6Suv9uMr3+6WY8sBhQvTnNcL2XAKk8tTUJPccdVbxU7cM8Qf+2OoD3zbyvl1q6tLIoPVDaIT060zE998E3vdoRIz3RnIc8jL2rueE50jx1smW8e52AO3zc/zy0sqi8Jh2EvKwFLr11tFA7djuHPP7pZryPU6680d9cPAabt7zV9Ok7Y8iuu42LDbytA0M9cFgYPVd/cLr60u688ys1vaXTZz1MPHO8vN6tvIB4Qz3ZDU09cR7OvOTNaTzVc3Q7QDeWvPZ6DLyLuVU8Nry5OwoxOjzOys88wPWlPBFdP73pbQO9J99jO991Bz3l1RU7/mzHPBucZrzgPSg8dTPbu/tXursnXm480mSou6wFrjyKOks8R2MbPS+Uijw+bQq9kWJ6OgqyLzwUbna82hEjvbQxs70reTw79vmWvEfkkDy7V/e7MqPWvKJDpjxH5BA9VwJRvYw8tjw+6L48864Vvuo3j7sKsi89Xav1vLAW5Tns/y+8nijYPH3kK71B/za82pCtvLxhjrzpa5i8I0d2vUimcLsUbnY8jgoYvNb4P7vHH0A9rYS4PROuATzpa5i8uEgrO2xDCz2EjdC8WxlJvbUznrtsBWu8EdzJvPdCLb0q+jG8hyHovBwfR7wjSeG6/26yutFc/DtJrpw8YsRYui4NVLxPkYs8GYuvvMqx7DwyoWs9uhaNvAOIFT0DigC9fWUhufCVMjkvDdQ8dTmcu4SN0Lw2uGM9AoS/vBX5Ar195hY82I5CvQKA6Tz0rKo9iKazPaLARTy83i086/1EvLEeEbyPTW09Wx2fvOx+urpXgVu9rxhQPNb+gDxMwb48xVkKvWPMhD2P0jg8W5q+vK0FLjuhvlq8KjKRPD3kaL1n4RG9CjMlPeXXgL1jRc47Y8yEuyYdhLyII9M7W5o+vIH7I7vhvh29rYJNvUF66zxUamM+eEb9OwaX4TqV+ue86W0DPWLC7bzf9JG75M9UPEWTTr11ORy9Wxu0vPtbkLxblmg974/xO3Ea+LsdJQg93J95vFeBWzzZCfc82Qn3O/QvC7q4ySC9yjB3PbQxM7zpbQM3Wxs0vXGfwzywGrs6AoLUO1KmGL1yJI878JPHvCA0VDwjyOu8mxchvDIiYbxjRc68uMe1vFeDRj2Lu0A8DUZHvAjqjrzvEtI7K3VmPBwfxzzKMHc7LEkJPeTL/rx1NUY8/mpcO5uYFr1B/Us8+9yFvA1IMj3AdLA8CjOlvaE95bvs+9m8i7V/PHAcY7xFlTk6yrVCPExCtDyV+ue8298EvSC1ybzZjkK8hApwvcowdz1MPPM8lwApPbtZ4jyMPiG9SCdmPT3ifT2A+Tg8cR5OPHGbbT24yaA8iKJdPFeHHL0614e8hJGmPCv4Rjwn3Xg8pJASvBFfqjz2+wE8cRp4OxHY8zz3Qq28K3k8PXzg1Tw4jIa8GYsvOxwfRzyp8KA8ptkovbGbsLxe64A8mZYrvZGgGr3+7by8GIXuO3zgVT0jTTc9gPdNPNZ5tbuaEWA8GAo6PS8RqryixJs7UNohO89Rhrzs/688GAq6O9X0aTzR5R09iCPTPD5rnz3EDgm6cRp4vCKHgbxMvei8zQSaPBiJxLxB/zY9Nrw5uz1j8zuLOGA8UFXWvF82Ar27WWK8G9oGPQmsbj1pLBM97IClPeVWCz1bnKm8Lg3UuwYY17tFmQ89ecvIvAkreb15StO7EVvUu2JJJLyxHCa8RY94vHudAL2hPeU7j1OuPH+yjT3V9Om8tLC9vM7Geb0vExW8CjWQPIy9Kzo2Pxo83SibPEH74DwKsES8iCPTPIglvjwGGFc7yzoOPb/xTz0RYZU8dbB6PCdiRD20sii9IDiqvP/vpzy0sL28iKYzvDa8ubwYhW68GY0avV8u1jwJrO48QYCsPBiJxDxQ1ss85dOqPIH7ozwyJMw6rYDivPOoVD06VhK8POL9Os5NsD2LOOC7YkH4vIw+oT0GGkK8niyuPP7p5jvvkdw7I8rWu5Prmzz3u/Y7RRYvPRFX/rx1NUa9Z2AcvRwjHTwrfZI8UFmsvOXXAD2WeXI8/mhxvL9yxbyP0ji83aHkvDrXh71NxRS7OdFGPBwhsjscG3G9v/FPPRDeNL33wbe8uERVvBygPL3/cgg9Wx2fPOTLfruwFuW8MiY3vKnqX7w+ax+9dbLlPJcClLzHHVU9j87iPFTzhLwboLw7RY/4u9mK7Lxblmg7gPP3PIB22Lr2+ZY92ZAtPAq0mjz71Fm9AoYqPJb4fDyxHKY4/KaROoQORjovlAo9DUTcvBgKOrypbys9qWtVPd0msLzAeAY84T2ouxwdXDvS4Uc9HCOdPEH7YDsjyGs863j5vD7qKT1xHk69qe61vDrVHDw6VCe9hBAxvMMGXTxjSSS99C8LPMODfLzlUjU8boyhu5PrG71Mv1M8GY0ave8OfDzLOo67Qf+2vL/xz7wZi6+8J17uPKlr1Ty2/5Q8qXEWvS8N1LyxnRu9uERVu2kskzxXf/A80ZwHvQaZzLsMySc9wPWlu94qhjw5TPs7ZttQPIcffbzZDU29SCX7vIp0lbyT7Qa9qW8rvalrVT2pb6u8rQNDO1Ryj72TZtC8QXrrPFeBWz2LtX88G1mRvOuCkL0R2t48/WpcvNX0aTzWeTW8WIecvORUID0qswa9v3JFuzMoojt95ha9AgNKvUSRY7w1viQ96raZvIch6LwV9xe9izb1u9Z7IL0+6L68pdXSvCYbGT23wXS8WAQ8vZoPdbzwl509CraFvNVzdD2A83c8k+fFvEB+wTvhPSg9yrPXuoy9Kz1iwm07Lgn+OjOnLL1UbE48Zl6xvO8UPTyge4W8SSs8Pc5LxTwDiBW93SBvuzpUJ73ruAS8CjG6vMB2Gz0R3jQ8X7UMvDa8OT2Lt+q7iKRIPL9yxTxXiQc82pIYO2LE2Lxe64A9fGcMvcaadDwV9xc7yzijvD7sFD1jxsO8AT2UvVKmmDwGmUw8EV8qvbhCajyeraM87xDnPE3DqTzdn/m8i7lVOw1E3LyaD/U8vNzCvfvaGj3ZjNe8wHiGPNzdmbzsfE88zspPvDpO5ryIol29/uvRvMB4hjwgOKo8TxAWPffBN72eqU28wHiGu0+Ri71cnpS8EdpevIy/Fj3sgKU7sJVvu3scizupbcC7AwmLu9hJgrxxHs68LxUAvWEAjrwr9PA8TMG+PEUSWb0CBbW86Og3PTOplzyZTZU92hGjOxDcSTz7Vc+8kuPvPOVSNT0n4U48dTkcvXeGCLwjTTc9X7OhPNqQLb11N7G8I003vCPI67yaE8s7EeAfPSYdhD1q9p48eMtIvVsdHz1a1Ai9I0nhvJLnRbzuEOe7jMEBvZLnRTzKtcK8AgFfvQSVdjwkziw8djuHvOMLirtMQMk8Lgl+vVRwJLxjyC49uELqPPb7AbwR2t48V4FbvZDWDjsChD+7Y8iuO+TRP70E0xa9mpBqPO+R3DxbFfM8vN4tO87MujythLi80l5nPGptfbu+LQU81nfKvCRPoryLNvW75yAXvKLCML0CgOk8wPWlvEH/tjwqMhG80uFHvGpzPjzseuS5qvILvQRUjLyxn4a8zkfvPHnLyLtfNBc8R2WGPRtZkbpQVda85dOqvAxCcb1Fj/g7tDGzvIu7QLxfs6G8MqHru9qSGLsKtgU8GY2avE3FlLzy5Ak5xRl/OZd9yDzLOKO8+tLuPAmu2bkGHhg7zk0wOxFX/jo19oO9IoWWPB2kEj3sAZs7wwjIPK9SGr396Wa61voqvc7OpTxd6RU9GQ6QvG6MIbzo6Le89z5XuRyip7xiQ+O8IDyAu6XXvTy0Ld27OlK8vB+x87z6Ufm8XzKsPfhGgzwQ3jQ92pQDvYSTEbw2PS88TDzzvEy9aLxFElk7pVZIvbU1Cb17HIu9u9hsPTxnSb2kkJI8gHRtu9LlnbvpbQM9s+qHPE1En7xhAA69Av9zuy+OyTx96AE88BaoO85NMD3aEw49zshkPWVcRj33v0w9PmufvNjIDD3ky349WIecvLNpkruEEhw95VaLvORO37wiSWE8ZlpbvFDWy7vo6iI8PWNzOzpQ0TzkUMq7dTPbu2pv6DxfLta85FSgPHGdWL23gIq8lwApvVNoeL01viS82pIYPCt30bwxIHY7v27vvO8S0rzKtUI8GY+Fu4y/lrtB/Us8Ab6JPJ6pTb0b2gY9tv+UPJX6Z7zFWQo9V4NGvYegcj0zp6w8cZttvKE95bzsgCU9wwyeu5LjbzukVF29lwKUPPAUvbxB/Uu8vF8jvTrPWzywFuW6U+ltPdZ5tTyixBs81XP0OFgEvDym2Sg9LorzvBFK9zkxWps8XklGvBduBbrfwgO9RxWevJtAw7xXx3o94Id2PMQrMzw2rw69PxotvTojdzvShI87ocIOu7Z9EbxE3828O+AhvGer7LzVdlo9XrB7vD6hBz3yzpC7o02kPBvQfTzkbLw7XdAgPdlkGLpV1S899GKeO0CTUjzelau8cmdDvdp/AL2oANU8XrD7O8SyjbxeSUa8yNqovK/F9TzFPSO8ufY2PTLTwDyBxFq91po6PdT9tDwWU528E+d8OprHHb1bPJO8f9KPOliEpTwdKq48lyqYvJrihb0VqGK8ozs0vdDVGb2ydGu9mDyIuX/AHzxuPyg9WaiFOwjWYLyVeyK9TgeXPVNTErwErkW738IDvab8mbyAOUU7InYpPU7+nrzgq1Y5O+ChvCOREbwZAhO8cQCOu6yvSrwHXTs9lY2SPBvibTvNjVm9Q2You8ZYC712j149QCydu0myIz0pTbo8EONBvZGoTDty8ti87vLCvFoPu7xd0KC8KClavGOVQb3OjVm8an5CO0orybzoPxI9vl0avXMWOTw/Gi2960PNPBWWcry9HlI9fCwSOq9ewDyges66zSYkPZHMrLzSexc8nUR+PeGZ5rydiAO88uAAvUykbrw0CRG8RGYovS8S2zy6Ghc9EYBHPSYF+rtbmtA7aWzSvMj1kD0oO0o9lyqYvEmyo7zhmea82bBlPem4t70RSnc99dtDO1CbJDyBxNo8MZ1wPAiTCz1rCdi8p4cvPIWFwDxQibS7vLecvFifDT20vCu9Z+E8PW5akL16j4w8UjgqvXAxczxCySK7DDTMPOYbMrwNNEy9gcRaPYlYljxl3YG8PuRcvE18ATwu7vq8GN6yvKt5ejxG8T270oQPPEkHabzRx+S7b8q9PdBgL70wbIu9Mzp2Pf3opLzShA870+vEvPdUaTqtOuA8Jp7EPXuYhDt2oc47YiUUu/RiHrslLhc7KnEavYg0trxw9xU9o6JpPbzAlDtgiA48L8YNPT2Pl7ymBRK9C4XWvBuNKL1tG8g8zSYkPZMzYrw7a7c7dGv+OxjwIrtHJw67VSr1vKTGSTs0grY8wny9u1Imurs6zjE887djvCBSSbyMSmE7BUvLvDNMZrv+T1q9xAdTvTiYYb2TRdK9VGUCPXZVAT2VjRK9EiKKu0xqETs5I3c8mtmNPJAvpzxXcrU8I5GRPcOOrbwlNw88wEbtu3SvAzuYPAi7xRlDu19btjweTg49wQMYvXDcLT1eN9Y6hux1PMcv7jzWrKo7d8WuvHOLo7yVeyK92sLVvFdytTxv3C28eo+MPTleBD2omR+9zBQ0vU7+Hr0LQoE91P00u8ubDr11a349/gyFPTlehDut5Ro8XrD7u+Ffibzb+CW8cnkzvDb72zweTo48kJbcO5NFUj3oNho8muIFPFEC2jwUC908SI7Du3m3eTxuURi94KtWOy8A67yYtS08GPAiPdRSerstmbW7b7hNPQddu7uL/pO7Az6YvMOOrTu59jY4PuRcvAwi3Lx0r4O9+fHuu/ZU6bxEZqg8b2MIvRH1sb38XQ897FW9PEIMeL0KMJE77xYjO512E75qbFK709nUPJrHHb0vxo08uQgnPHDuHbuG7HW9gvqqvCQBP71uURi9tLwrvRDRUb2/eII8vUKyPAXSpbtnvdy8jvnWPDxZRz2Kv8u7aQWdvGfPTDzk03E80oQPvKt5eryrefo8O+AhPUrEEz0ljNS8UQJavexnLb2XKpi84s+2Oyii/zs5TBQ8vmYSPK5eQLzjNuy84VaRPAGqCr0jkZG85Gw8PG5aEL0anxi8ZMuRvVRlAj2QL6c72VsgPXLyWDxwMXO8I5GRuU5TZL3Dji297XmdvFDe+byfek48eoYUPR08Hj2WnwI9y5IWu0cnDr3tvHK9JTePPOP8jryJaoY7mDyIvO4Esz2h8/O7xx3+PDA2u7wnwiQ9gsTaOpG6vLwXM/g8gbJqPKXGyTz8K/q8TuwuvU7+nrvLm469wmrNvGogBT1upt08M0zmO8uSFj19Ixq8nFKzvPXbw7wSKwK92cJVPt6nmz0B7d+8tn2RvC6rJT2rnVq9hpewPCVABz1KGdm8Rc3dvLXXE71PEA+7sftFPSQTr7ylUd+7CJyDPROkp7w90mw8ENFRPfm3Eb2gek49xmGDPOQFhz3vWXg8sOlVvPtUFz1NfAE9J8Kku3OLozunFwI8CfrAuw9qHLy59rY56h9tvQIRQDzd6vA8bZTtvDP3oLxaIas97vLCPHahzrzKd66737kLPcLjcjyVlgo8vVQiPEuSfjxo8yy97bzyO1Rcijzxs6i7v6lnPHp0pDvx9n082Z51O6cXgr381jS94s82vT72TLyTM+I84V8Jvcvw0zvvMQu9hGHgvFN7f7zr5Y88sMV1PeFWkb1giA49EQciPfuyVDz433490U4/vUIw2DykcQQ9GPCiO5WNEj1w7p09gV2lvIcQ1jnViMo6hqkgvZFTBzwSIoq5b2MIPeBNmbo/Gi09CJwDPWogBT29QrI8kvAMPCFkuTzMFDS9CIGbPESBkLon1JS88z6+PNKED70J+sC84zZsPAbEcL3J/gi9/F2PvEZqYzssUXU9cQAOPW4/KL3a1MU85vdRvfMszjxXcjU8TNq+PHMWubwvvRW9DVisPEWTgDuG/uU5w/ViPG6m3bzxGl46HPTdvNiwZbvcE4469u2zPHlitDuET/C8sIKgPOYbMjytKPA7HAbOOw5YrLtKkv68cDFzvI9y/DwPahw9JbA0PRFcZz3+Peo7qiQ1vW0tOD3fwgM6TuwuPLwM4joHXTu9Ua2UO7OGWzvt4NK79dvDvILWSr3Htsi8izhxPGy9ijtkuSE9muIFvb9vijz7jvS8Hxx5vFtFCz3JB4G89X2GO93qcDwbqJA8rK/KPFozGz2RzKw7ivWbvAbEcDzkWkw8SHzTPGd6B72Xf108AMn/vMWAeL3ewoM7ozs0vdT9NL0REBq9oinEu2uQMrwF0qU8/T3qPH8DdTsXulI9FlMdvFtFCz3ivUY9OVUMvaeHr7zZnnU9jx23vHrbWTyrnVo9+HhJvJ5oXrtHjkM9BjlbvexnLT1G8b260sdkPdDeETr9xMQ8iViWvMBGbT1pWuI6Irn+uoeJ+7wKhVa8Jp5EPRe6UrtuWhA9tTXRPJ96TjzUDyW8/dY0u5xSM732IwS8A5zVPIQMmzzLpAa94WgBvTavDrwaaUi9dK+DvJPnlLtznRO8W04DPRPnfLxsgv273qebvJEh8rzb+KW7yncuPCvqPzwSK4K82sLVPGvGAj0j7868sA22PLulLL0zXta8WJaVOy7u+ruQltw7reUaPfbtMzvr5Q89nyWJvFjr2jzT2dQ8JwV6vGdxDz27+vE6rK9KPfB92LyyMZY6ERAaPcuJnrxjDue7RKl9vJ8lib3rQ02981CuPP3ExDxjg1G85z+SvLH7Rbu3ayE9YXHhPKm0h7wdPJ683IM7vS/GDTxK1gO82UkwPdaaujyPcny8fGZvPAy7Jj3Psbk8pcbJu5BKj73+6KS5a6uavLzAFL1Y69q8nXaTvF43Vj2ri+o8T2XUPGZEt7y/NP28zWn5vExhmbxWYEU71P20PG4/qLyC+qo8Yw7nPKcXgryMSmG8m0BDPJV7orxKxBM7an5CvSWwtLxGamM79HQOvKzBurze/GA9RgMuu3V97jxpDpW9lwa4uqGeLjvdg7s7ufa2uWkFnTt2VYG8IFJJPIA5xbsc9F294yR8PKtIFbvrQ807+ie/u8Pjcrsr2M+8SDCGvSDrkzyUV8K8izjxuqiHL7um6qm8AJgavC2HRT0lQIe8yneuvGoXjbxAR4U9Os6xvJxSMzxrkLK87XkdPQyptrwMItw89v+jvI6bGbzFgHg7XvQAPcLjcrzxoTg9osuGO31mb7lO/h69RvE9PFdgRbxiceG7nLlovaM7tDzuHxs9nlbuu/icqTqBXSW9AO3fuvA6A72S3hw7+HhJPDQAGb0oO8o8DN8GPBZBrbmA24c8fT6CPL1CsryBxFq99HSOOxufGL0IgRu8fpy/u+rcF72nDoo7AaqKuylfKr0zEgk8ERCaPMUrs7z9Peo6CIqTPKLCDj2A24c8DlgsvVfZajxpbNK8YAosvMQH073YJVA6VMM/uXQWuTvhX4m8u6WsvHQESbxv3C28eu1JvE5B9LyuAIM8lXsiPDtrN7x9is+8BTnbOkceFj0yOva7TMjOvGDmyzw6zrE87xYjvVY8ZbyBXSW8rveKvPR0jrsFFfs7yEFePCD0i7xnege8H7VDvSJ2qbw5qlG9i/UbOQCYmj3Wmjo8cs54PSBAWbxpSHI8h7uQvFCJtDxs9+c8w6CdOxDjQb1PEA89+JypPXJ5MzxEgRC93sIDPHU6mbywlJA8m0BDPEWKiD0E0iU8zXvpvEzavryvXkA9hYVAvS8Aa7xUZYI82/glPYfEiL0anxg8KoOKvKS02byYPIg8mcedO26mXb3szmI9sh8mvCDZo7va1EW9Az6YPGCRhjy1WTG8CJwDPVYCCLzzPr48L72VO1CJNDsiy248YNTbur5dGr3iNmy9+N9+vOm4t7xsxoI82NkCvXca9DxGA6663BMOvAKcVbteN9a7Tdo+vdBOv7xR8Gm9Tv4ePfh4SbxYhKW8t2uhvDwEgrytOuA8Y4PRO4RPcL1RrRS9OV4EO+ofbTynhy89YpXBPPonPz30dA48m7noOqXGybyQSo+9UjiqvN7CAzz0ydM7yQcBvbCCIL3yCG68VMM/PGIlFL0z96C818eSvB08njtpSHI8gNsHvcfIuDyFJ4O95vdRO/B9WDxWTlW8eo+Mvbpd7LyuAAM9tDVRPHxU/zx9is+8M/egPKS0Wb2p7mS83XFLPVZO1Typ7uS72sJVvJJFUrs7a7c7oSnEPKb8Gby0EXE9W5pQPAn6wLunFwI9fxXlvGDmSz0kAT+81e9/PLbA5rzqH228MWMTPKs2pbyGqaA8XknGvKuL6rz0dI48KyAQvZ3LWDyfJYm88s4QPYlqBrwM34Y81wFwPfzERDy8DOK7INkjva9eQD2FJ4M7XdCgPCjmBL1vyj09KDtKvCU3Dz33Zlk8AIYqPOdwd7vy4IA9aiCFPQw0TDvQ54k8/3M6PNPZ1Dzmoow8gm+Vu20tuDy8DOK8X9RbPN/CA71D5Aq6uAgnurXOGz0Sbtc7AXj1vPLOED0SKwI9fFT/vEAsHb12sz68BdKlvJcYqLxuPyi80+tEu+P8Dr3MFLS8v2+KPAjW4DvvWXi8Em7XvNONhzuyQ4a96+WPPPxdD70SIgo9w6mVPEgwhr1pDhU9Gns4PcwUNL12oU69TNq+PLIxFj2CxNo7hB6LvRUvvbsidqm86abHu/LFmDxpDhU9j4TsvJP5BD2XkU08ul1sPBz0XbwvEtu7kC+nPELSmrw="}
\ No newline at end of file
diff --git a/dsLightRag/Topic/Chemistry/vdb_relationships.json b/dsLightRag/Topic/Chemistry/vdb_relationships.json
deleted file mode 100644
index 3e83112e..00000000
--- a/dsLightRag/Topic/Chemistry/vdb_relationships.json
+++ /dev/null
@@ -1 +0,0 @@
-{"embedding_dim": 1024, "data": [{"__id__": "rel-92f28c2a274b73df2ec4767c30b4bb8d", "__created_at__": 1752193612, "src_id": "Nitric Acid", "tgt_id": "Photodecomposition", "content": "Nitric Acid\tPhotodecomposition\nchemical reaction,decomposition\nNitric acid undergoes photodecomposition when exposed to light or heat, producing nitrogen dioxide, oxygen, and water.", "source_id": "chunk-38dc4759f21281aec253bbbfd5249836", "file_path": "unknown_source"}, {"__id__": "rel-19fc003f86fe0ab223780b80bb3cbdcb", "__created_at__": 1752193612, "src_id": "Iron Oxide", "tgt_id": "Nitric Acid", "content": "Iron Oxide\tNitric Acid\nchemical reaction,oxidation\nIron oxide reacts with nitric acid under heat to form iron nitrate, water, and nitrogen dioxide.", "source_id": "chunk-38dc4759f21281aec253bbbfd5249836", "file_path": "unknown_source"}, {"__id__": "rel-40ca1814ff3034c4057137e8874eb6f1", "__created_at__": 1752193612, "src_id": "Hydrogen", "tgt_id": "Oxygen", "content": "Hydrogen\tOxygen\ncombustion,energy release\nHydrogen combusts with oxygen to produce water, a fundamental chemical reaction.", "source_id": "chunk-38dc4759f21281aec253bbbfd5249836", "file_path": "unknown_source"}, {"__id__": "rel-f1c8d1e7e39518122e8f4474612c1074", "__created_at__": 1752193612, "src_id": "Hydrogen", "tgt_id": "Water", "content": "Hydrogen\tWater\nchemical synthesis,product formation\nHydrogen is a reactant in the formation of water through combustion with oxygen.", "source_id": "chunk-38dc4759f21281aec253bbbfd5249836", "file_path": "unknown_source"}, {"__id__": "rel-d8fe03c159d7793f6ca7b6e017d3adb6", "__created_at__": 1752193612, "src_id": "Oxygen", "tgt_id": "Water", "content": "Oxygen\tWater\nchemical synthesis,product formation\nOxygen is a reactant in the formation of water through combustion with hydrogen.", "source_id": "chunk-38dc4759f21281aec253bbbfd5249836", "file_path": "unknown_source"}], "matrix": 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"}
\ No newline at end of file
diff --git a/dsLightRag/Util/Neo4jExecutor.py b/dsLightRag/Util/Neo4jExecutor.py
new file mode 100644
index 00000000..28f55cdb
--- /dev/null
+++ b/dsLightRag/Util/Neo4jExecutor.py
@@ -0,0 +1,109 @@
+import re
+from typing import List, Tuple
+
+from py2neo import Graph, Node, Relationship, Subgraph
+from Config import Config
+
+def clear(db):
+    # 清空数据
+    db.run("MATCH (n) DETACH DELETE n")
+
+    # 分步删除约束和索引
+    try:
+        # 删除约束
+        constraints = db.run("SHOW CONSTRAINTS YIELD name").data()
+        for constr in constraints:
+            db.run(f"DROP CONSTRAINT `{constr['name']}`")
+
+        # 删除索引
+        indexes = db.run("SHOW INDEXES YIELD name, type WHERE type <> 'LOOKUP'").data()
+        for idx in indexes:
+            db.run(f"DROP INDEX `{idx['name']}`")
+    except Exception as e:
+        print(f"删除操作失败: {e}")
+
+def create_subgraph(db: Graph, nodes: List[Node], relations: List[Tuple[Node, str, Node]]) -> None:
+    """统一创建子图"""
+    subgraph = Subgraph(
+        nodes=nodes,
+        relationships=[Relationship(start, rel_type, end) for start, rel_type, end in relations]
+    )
+    db.create(subgraph)
+
+def tx_create(db: Graph, nodes: List[Node], relations: List[Tuple[Node, str, Node]]) -> None:
+    """事务方式创建数据"""
+    try:
+        tx = db.begin()
+        subgraph = Subgraph(
+            nodes=nodes,
+            relationships=[Relationship(start, rel_type, end) for start, rel_type, end in relations]
+        )
+        tx.create(subgraph)
+        db.commit(tx)
+    except Exception as e:
+        db.rollback(tx)
+        print(f"事务操作失败: {str(e)}")
+        raise
+
+class Neo4jExecutor:
+    # 添加类变量存储连接配置
+    NEO4J_URI = Config.NEO4J_URI
+    NEO4J_AUTH = Config.NEO4J_AUTH
+    
+    def __init__(self, uri=None, auth=None):
+        # 使用默认配置或传入参数
+        self.graph = Graph(uri or self.NEO4J_URI, 
+                         auth=auth or self.NEO4J_AUTH)
+
+    @classmethod
+    def create_default(cls):
+        """使用默认配置创建执行器"""
+        return cls(cls.NEO4J_URI, cls.NEO4J_AUTH)
+
+    # 新增文本执行方法
+    def execute_cypher_text(self, cypher_text: str) -> dict:
+        """直接执行Cypher文本"""
+        stats = {'total': 0, 'success': 0, 'failed': 0}
+        try:
+            statements = re.split(r';\s*\n', cypher_text)
+            statements = [s.strip() for s in statements if s.strip()]
+
+            stats['total'] = len(statements)
+
+            for stmt in statements:
+                try:
+                    self.graph.run(stmt)
+                    stats['success'] += 1
+                except Exception as e:
+                    stats['failed'] += 1
+                    print(f"执行失败: {stmt[:50]}... \n错误: {str(e)[:100]}")
+
+            return stats
+        except Exception as e:
+            print(f"执行失败: {stmt[:100]}... \n完整错误: {str(e)}")  # 原为str(e)[:100]
+            return stats
+
+    def execute_cypher_file(self, file_path: str) -> dict:  # 确保方法名称正确
+        """执行Cypher文件"""
+        stats = {'total': 0, 'success': 0, 'failed': 0}
+        try:
+            with open(file_path, 'r', encoding='utf-8') as f:
+                cypher_script = f.read()
+                statements = re.split(r';\s*\n', cypher_script)
+                statements = [s.strip() for s in statements if s.strip()]
+
+                stats['total'] = len(statements)
+
+                for stmt in statements:
+                    try:
+                        self.graph.run(stmt)
+                        stats['success'] += 1
+                    except Exception as e:
+                        stats['failed'] += 1
+                        print(f"执行失败: {stmt[:50]}... \n错误: {str(e)[:100]}")
+
+                return stats
+
+        except Exception as e:
+            print(f"文件错误: {str(e)}")
+            return stats
\ No newline at end of file
diff --git a/dsLightRag/Util/__pycache__/Neo4jExecutor.cpython-310.pyc b/dsLightRag/Util/__pycache__/Neo4jExecutor.cpython-310.pyc
new file mode 100644
index 00000000..d74b8144
Binary files /dev/null and b/dsLightRag/Util/__pycache__/Neo4jExecutor.cpython-310.pyc differ
diff --git a/dsLightRag/static/Images/5009542d74a24d00b5ae62f5cdc0f048/media/image1.png b/dsLightRag/static/Images/5009542d74a24d00b5ae62f5cdc0f048/media/image1.png
new file mode 100644
index 00000000..3c219b5e
Binary files /dev/null and b/dsLightRag/static/Images/5009542d74a24d00b5ae62f5cdc0f048/media/image1.png differ
diff --git a/dsLightRag/static/markdown/Chemistry.md b/dsLightRag/static/markdown/Chemistry.md
index 81318042..52131686 100644
--- a/dsLightRag/static/markdown/Chemistry.md
+++ b/dsLightRag/static/markdown/Chemistry.md
@@ -4,4 +4,4 @@ $$4HNO_{3}\overset{\overset{}{{\Delta}}}{=}4NO_{2} \uparrow + O_{2} \uparrow + 2
 $$FeO + 4HNO_{3}\overset{\overset{}{{\Delta}}}{=}Fe(NO_{3})_{3} + 2H_{2} \uparrow + NO_{2} \uparrow$$
 氢气与氧气燃烧的现象如下图所示：
 $$2H_{2} + O_{2}\overset{\overset{}{\text{燃烧}}}{=}2H_{2}O$$
-![](./Images/4826f1dfc6ce4ba5a294167a016b736f/media/image1.png)
+![](./Images/5009542d74a24d00b5ae62f5cdc0f048/media/image1.png)