diff --git a/dsLightRag/Doc/8、图数据库DozerDb.md b/dsLightRag/Doc/8、图数据库DozerDb.md index e01e23c5..6fc2bea0 100644 --- a/dsLightRag/Doc/8、图数据库DozerDb.md +++ b/dsLightRag/Doc/8、图数据库DozerDb.md @@ -1,3 +1 @@ https://dozerdb.org/ - -https://milvus.io/ \ No newline at end of file diff --git a/dsLightRag/T1_Train.py b/dsLightRag/T1_Train.py index ee1e1469..57394343 100644 --- a/dsLightRag/T1_Train.py +++ b/dsLightRag/T1_Train.py @@ -5,7 +5,7 @@ from Util.LightRagUtil import configure_logging, initialize_rag import os # 数学 -KEMU = 'Chemistry' # Chinese,Math,Chemistry +KEMU = 'JiHe' # Chinese,Math,Chemistry,JiHe # 组装文件路径 WORKING_DIR = "./Topic/" + KEMU diff --git a/dsLightRag/T2_Query.py b/dsLightRag/T2_Query.py index be89e0c8..bf91ebf0 100644 --- a/dsLightRag/T2_Query.py +++ b/dsLightRag/T2_Query.py @@ -8,10 +8,12 @@ data = [ # {"NAME": "Chemistry", "Q": "硝酸光照分解的化学反应方程式是什么", "ChineseName": "化学"}, {"NAME": "Chemistry", "Q": "氢气与氧气燃烧的现象", "ChineseName": "化学"}, {"NAME": "Math", "Q": "氧化铁与硝酸的化学反应方程式是什么", "ChineseName": "数学"}, - {"NAME": "Chinese", "Q": "氧化铁与硝酸的化学反应方程式是什么", "ChineseName": "语文"}] + {"NAME": "Chinese", "Q": "氧化铁与硝酸的化学反应方程式是什么", "ChineseName": "语文"}, + {"NAME": "JiHe", "Q": "三角形两边之和大于第三边的证明", "ChineseName": "几何"} +] # 准备查询的科目 -KEMU = "Chemistry" +KEMU = "JiHe" # Chemistry JiHe # 查找索引号 idx = [i for i, d in enumerate(data) if d["NAME"] == KEMU][0] diff --git a/dsLightRag/Topic/Chemistry/graph_chunk_entity_relation.graphml b/dsLightRag/Topic/Chemistry/graph_chunk_entity_relation.graphml new file mode 100644 index 00000000..6620de70 --- /dev/null +++ b/dsLightRag/Topic/Chemistry/graph_chunk_entity_relation.graphml @@ -0,0 +1,265 @@ + + + + + + + + + + + + + + + + + Nitric Acid + category + Nitric acid (HNO₃) is a chemical compound involved in photodecomposition and reactions with iron oxide. + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + Iron Oxide + category + Iron oxide (FeO) is a chemical compound that reacts with nitric acid under heat to produce iron nitrate, water, and nitrogen dioxide. + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + Hydrogen + category + Hydrogen (H₂) is a chemical element that combusts with oxygen to form water. + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + Oxygen + category + Oxygen (O₂) is a chemical element involved in combustion reactions with hydrogen. + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + Water + category + Water (H₂O) is the product of the combustion reaction between hydrogen and oxygen. + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + Nitrogen Dioxide + category + Nitrogen dioxide (NO₂) is a byproduct of the decomposition of nitric acid and the reaction between iron oxide and nitric acid. + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + Iron Nitrate + category + Iron nitrate (Fe(NO₃)₃) is a product of the reaction between iron oxide and nitric acid. + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + Nitric Acid (HNO₃) + category + A strong mineral acid that undergoes photodecomposition when exposed to light, producing nitrogen dioxide, oxygen, and water. + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + Nitrogen Dioxide (NO₂) + category + A reddish-brown toxic gas produced as a byproduct in nitric acid decomposition and iron oxide reactions. + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + Oxygen (O₂) + category + A diatomic gas produced in nitric acid decomposition and consumed in hydrogen combustion. + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + Water (H₂O) + category + A compound formed in both nitric acid decomposition and hydrogen-oxygen combustion. + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + Iron Oxide (FeO) + category + A chemical compound that reacts with nitric acid to form iron nitrate, water, and nitrogen dioxide. + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + Iron Nitrate (Fe(NO₃)₃) + category + A product formed when iron oxide reacts with nitric acid under heat. + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + Hydrogen (H₂) + category + A flammable gas that combusts with oxygen to form water. + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + Combustion Reaction + event + The chemical process where hydrogen reacts with oxygen to produce water. + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + Photodecomposition + event + The chemical decomposition of nitric acid under light exposure. + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + Chemical Equation + category + The symbolic representation of chemical reactions described in the text. + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + 8.0 + Nitric acid decomposes under light to produce nitrogen dioxide, oxygen, and water. + byproducts,chemical decomposition + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + 9.0 + Iron oxide reacts with nitric acid under heat to produce iron nitrate, water, and nitrogen dioxide. + chemical reaction,heat application + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + 7.0 + Iron oxide is converted into iron nitrate through its reaction with nitric acid. + chemical transformation,product formation + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + 10.0 + Hydrogen combusts with oxygen to form water. + combustion reaction,synthesis + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + 9.0 + Nitric acid decomposes to produce nitrogen dioxide as a primary byproduct. + byproduct formation,chemical decomposition + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + 8.0 + Nitric acid decomposition releases oxygen gas as a byproduct. + chemical reaction,gas production + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + 7.0 + Water is produced as a byproduct of nitric acid decomposition. + chemical byproduct,reaction output + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + 9.0 + Iron oxide reacts with nitric acid under heat to produce various compounds. + acid-base reaction,heat application + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + 8.0 + Photodecomposition is the process that breaks down nitric acid. + chemical process,decomposition + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + 7.0 + Reaction between iron oxide and nitric acid produces nitrogen dioxide. + chemical reaction,gas production + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + 10.0 + Hydrogen combusts with oxygen in a chemical reaction to produce water. + combustion,synthesis reaction + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + 9.0 + Hydrogen is converted to water through combustion with oxygen. + chemical synthesis,product formation + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + 8.0 + Iron oxide is converted to iron nitrate through reaction with nitric acid. + chemical transformation,product formation + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + 7.0 + The combustion reaction is represented by a chemical equation. + chemical notation,symbolic representation + chunk-d0c3bf985a3b3b903e2fb35515fdff1e + unknown_source + 1752205395 + + + diff --git a/dsLightRag/Topic/Chemistry/kv_store_doc_status.json b/dsLightRag/Topic/Chemistry/kv_store_doc_status.json index d0ab090e..128778de 100644 --- a/dsLightRag/Topic/Chemistry/kv_store_doc_status.json +++ b/dsLightRag/Topic/Chemistry/kv_store_doc_status.json @@ -1,12 +1,12 @@ { - "doc-e4dee9f72e6c899fd70a04b77c38d8d0": { + "doc-d0c3bf985a3b3b903e2fb35515fdff1e": { "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/500a35d1483c4b9d934ff584073c6590/media/image1.png)", + "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/c8c0221648af480699a364fd50cbbeb6/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$$2H_{2} + O_{2}overset{ov...", "content_length": 344, - "created_at": "2025-07-11T00:33:18.094744+00:00", - "updated_at": "2025-07-11T00:37:04.761470+00:00", + "created_at": "2025-07-11T03:42:25.898814+00:00", + "updated_at": "2025-07-11T03:43:17.438419+00:00", "file_path": "unknown_source" } } \ No newline at end of file diff --git a/dsLightRag/Topic/Chemistry/kv_store_full_docs.json b/dsLightRag/Topic/Chemistry/kv_store_full_docs.json index 1d55ece5..5173e6d3 100644 --- a/dsLightRag/Topic/Chemistry/kv_store_full_docs.json +++ b/dsLightRag/Topic/Chemistry/kv_store_full_docs.json @@ -1,5 +1,5 @@ { - "doc-e4dee9f72e6c899fd70a04b77c38d8d0": { - "content": "硝酸光照分解的方程式\n$$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$$\n![](./Images/500a35d1483c4b9d934ff584073c6590/media/image1.png)" + "doc-d0c3bf985a3b3b903e2fb35515fdff1e": { + "content": "硝酸光照分解的方程式\n$$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/c8c0221648af480699a364fd50cbbeb6/media/image1.png)" } } \ No newline at end of file diff --git a/dsLightRag/Topic/Chemistry/kv_store_llm_response_cache.json b/dsLightRag/Topic/Chemistry/kv_store_llm_response_cache.json index 95ed6d65..99b72aaa 100644 --- a/dsLightRag/Topic/Chemistry/kv_store_llm_response_cache.json +++ b/dsLightRag/Topic/Chemistry/kv_store_llm_response_cache.json @@ -19,6 +19,26 @@ "embedding_min": null, "embedding_max": null, "original_prompt": "[{\"role\": \"user\", \"content\": \"---Goal---\\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\\nUse English as output language.\\n\\n---Steps---\\n1. Identify all entities. For each identified entity, extract the following information:\\n- entity_name: Name of the entity, use same language as input text. If English, capitalized the name.\\n- entity_type: One of the following types: [organization,person,geo,event,category]\\n- entity_description: Comprehensive description of the entity's attributes and activities\\nFormat each entity as (\\\"entity\\\"<|><|><|>)\\n\\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\\nFor each pair of related entities, extract the following information:\\n- source_entity: name of the source entity, as identified in step 1\\n- target_entity: name of the target entity, as identified in step 1\\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\\n- relationship_keywords: one or more high-level key words that summarize the overarching nature of the relationship, focusing on concepts or themes rather than specific details\\nFormat each relationship as (\\\"relationship\\\"<|><|><|><|><|>)\\n\\n3. Identify high-level key words that summarize the main concepts, themes, or topics of the entire text. These should capture the overarching ideas present in the document.\\nFormat the content-level key words as (\\\"content_keywords\\\"<|>)\\n\\n4. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\\n\\n5. When finished, output <|COMPLETE|>\\n\\n######################\\n---Examples---\\n######################\\nExample 1:\\n\\nEntity_types: [person, technology, mission, organization, location]\\nText:\\n```\\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\\n\\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \\\"If this tech can be understood...\\\" Taylor said, their voice quieter, \\\"It could change the game for us. For all of us.\\\"\\n\\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\\n\\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\\n```\\n\\nOutput:\\n(\\\"entity\\\"<|>\\\"Alex\\\"<|>\\\"person\\\"<|>\\\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\\\")##\\n(\\\"entity\\\"<|>\\\"Taylor\\\"<|>\\\"person\\\"<|>\\\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\\\")##\\n(\\\"entity\\\"<|>\\\"Jordan\\\"<|>\\\"person\\\"<|>\\\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\\\")##\\n(\\\"entity\\\"<|>\\\"Cruz\\\"<|>\\\"person\\\"<|>\\\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\\\")##\\n(\\\"entity\\\"<|>\\\"The Device\\\"<|>\\\"technology\\\"<|>\\\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\\\")##\\n(\\\"relationship\\\"<|>\\\"Alex\\\"<|>\\\"Taylor\\\"<|>\\\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\\\"<|>\\\"power dynamics, perspective shift\\\"<|>7)##\\n(\\\"relationship\\\"<|>\\\"Alex\\\"<|>\\\"Jordan\\\"<|>\\\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\\\"<|>\\\"shared goals, rebellion\\\"<|>6)##\\n(\\\"relationship\\\"<|>\\\"Taylor\\\"<|>\\\"Jordan\\\"<|>\\\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\\\"<|>\\\"conflict resolution, mutual respect\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Jordan\\\"<|>\\\"Cruz\\\"<|>\\\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\\\"<|>\\\"ideological conflict, rebellion\\\"<|>5)##\\n(\\\"relationship\\\"<|>\\\"Taylor\\\"<|>\\\"The Device\\\"<|>\\\"Taylor shows reverence towards the device, indicating its importance and potential impact.\\\"<|>\\\"reverence, technological significance\\\"<|>9)##\\n(\\\"content_keywords\\\"<|>\\\"power dynamics, ideological conflict, discovery, rebellion\\\")<|COMPLETE|>\\n#############################\\nExample 2:\\n\\nEntity_types: [company, index, commodity, market_trend, economic_policy, biological]\\nText:\\n```\\nStock markets faced a sharp downturn today as tech giants saw significant declines, with the Global Tech Index dropping by 3.4% in midday trading. Analysts attribute the selloff to investor concerns over rising interest rates and regulatory uncertainty.\\n\\nAmong the hardest hit, Nexon Technologies saw its stock plummet by 7.8% after reporting lower-than-expected quarterly earnings. In contrast, Omega Energy posted a modest 2.1% gain, driven by rising oil prices.\\n\\nMeanwhile, commodity markets reflected a mixed sentiment. Gold futures rose by 1.5%, reaching $2,080 per ounce, as investors sought safe-haven assets. Crude oil prices continued their rally, climbing to $87.60 per barrel, supported by supply constraints and strong demand.\\n\\nFinancial experts are closely watching the Federal Reserve's next move, as speculation grows over potential rate hikes. The upcoming policy announcement is expected to influence investor confidence and overall market stability.\\n```\\n\\nOutput:\\n(\\\"entity\\\"<|>\\\"Global Tech Index\\\"<|>\\\"index\\\"<|>\\\"The Global Tech Index tracks the performance of major technology stocks and experienced a 3.4% decline today.\\\")##\\n(\\\"entity\\\"<|>\\\"Nexon Technologies\\\"<|>\\\"company\\\"<|>\\\"Nexon Technologies is a tech company that saw its stock decline by 7.8% after disappointing earnings.\\\")##\\n(\\\"entity\\\"<|>\\\"Omega Energy\\\"<|>\\\"company\\\"<|>\\\"Omega Energy is an energy company that gained 2.1% in stock value due to rising oil prices.\\\")##\\n(\\\"entity\\\"<|>\\\"Gold Futures\\\"<|>\\\"commodity\\\"<|>\\\"Gold futures rose by 1.5%, indicating increased investor interest in safe-haven assets.\\\")##\\n(\\\"entity\\\"<|>\\\"Crude Oil\\\"<|>\\\"commodity\\\"<|>\\\"Crude oil prices rose to $87.60 per barrel due to supply constraints and strong demand.\\\")##\\n(\\\"entity\\\"<|>\\\"Market Selloff\\\"<|>\\\"market_trend\\\"<|>\\\"Market selloff refers to the significant decline in stock values due to investor concerns over interest rates and regulations.\\\")##\\n(\\\"entity\\\"<|>\\\"Federal Reserve Policy Announcement\\\"<|>\\\"economic_policy\\\"<|>\\\"The Federal Reserve's upcoming policy announcement is expected to impact investor confidence and market stability.\\\")##\\n(\\\"relationship\\\"<|>\\\"Global Tech Index\\\"<|>\\\"Market Selloff\\\"<|>\\\"The decline in the Global Tech Index is part of the broader market selloff driven by investor concerns.\\\"<|>\\\"market performance, investor sentiment\\\"<|>9)##\\n(\\\"relationship\\\"<|>\\\"Nexon Technologies\\\"<|>\\\"Global Tech Index\\\"<|>\\\"Nexon Technologies' stock decline contributed to the overall drop in the Global Tech Index.\\\"<|>\\\"company impact, index movement\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Gold Futures\\\"<|>\\\"Market Selloff\\\"<|>\\\"Gold prices rose as investors sought safe-haven assets during the market selloff.\\\"<|>\\\"market reaction, safe-haven investment\\\"<|>10)##\\n(\\\"relationship\\\"<|>\\\"Federal Reserve Policy Announcement\\\"<|>\\\"Market Selloff\\\"<|>\\\"Speculation over Federal Reserve policy changes contributed to market volatility and investor selloff.\\\"<|>\\\"interest rate impact, financial regulation\\\"<|>7)##\\n(\\\"content_keywords\\\"<|>\\\"market downturn, investor sentiment, commodities, Federal Reserve, stock performance\\\")<|COMPLETE|>\\n#############################\\nExample 3:\\n\\nEntity_types: [economic_policy, athlete, event, location, record, organization, equipment]\\nText:\\n```\\nAt the World Athletics Championship in Tokyo, Noah Carter broke the 100m sprint record using cutting-edge carbon-fiber spikes.\\n```\\n\\nOutput:\\n(\\\"entity\\\"<|>\\\"World Athletics Championship\\\"<|>\\\"event\\\"<|>\\\"The World Athletics Championship is a global sports competition featuring top athletes in track and field.\\\")##\\n(\\\"entity\\\"<|>\\\"Tokyo\\\"<|>\\\"location\\\"<|>\\\"Tokyo is the host city of the World Athletics Championship.\\\")##\\n(\\\"entity\\\"<|>\\\"Noah Carter\\\"<|>\\\"athlete\\\"<|>\\\"Noah Carter is a sprinter who set a new record in the 100m sprint at the World Athletics Championship.\\\")##\\n(\\\"entity\\\"<|>\\\"100m Sprint Record\\\"<|>\\\"record\\\"<|>\\\"The 100m sprint record is a benchmark in athletics, recently broken by Noah Carter.\\\")##\\n(\\\"entity\\\"<|>\\\"Carbon-Fiber Spikes\\\"<|>\\\"equipment\\\"<|>\\\"Carbon-fiber spikes are advanced sprinting shoes that provide enhanced speed and traction.\\\")##\\n(\\\"entity\\\"<|>\\\"World Athletics Federation\\\"<|>\\\"organization\\\"<|>\\\"The World Athletics Federation is the governing body overseeing the World Athletics Championship and record validations.\\\")##\\n(\\\"relationship\\\"<|>\\\"World Athletics Championship\\\"<|>\\\"Tokyo\\\"<|>\\\"The World Athletics Championship is being hosted in Tokyo.\\\"<|>\\\"event location, international competition\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Noah Carter\\\"<|>\\\"100m Sprint Record\\\"<|>\\\"Noah Carter set a new 100m sprint record at the championship.\\\"<|>\\\"athlete achievement, record-breaking\\\"<|>10)##\\n(\\\"relationship\\\"<|>\\\"Noah Carter\\\"<|>\\\"Carbon-Fiber Spikes\\\"<|>\\\"Noah Carter used carbon-fiber spikes to enhance performance during the race.\\\"<|>\\\"athletic equipment, performance boost\\\"<|>7)##\\n(\\\"relationship\\\"<|>\\\"World Athletics Federation\\\"<|>\\\"100m Sprint Record\\\"<|>\\\"The World Athletics Federation is responsible for validating and recognizing new sprint records.\\\"<|>\\\"sports regulation, record certification\\\"<|>9)##\\n(\\\"content_keywords\\\"<|>\\\"athletics, sprinting, record-breaking, sports technology, competition\\\")<|COMPLETE|>\\n#############################\\n\\n#############################\\n---Real Data---\\n######################\\nEntity_types: [organization,person,geo,event,category]\\nText:\\n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/500a35d1483c4b9d934ff584073c6590/media/image1.png)\\n######################\\nOutput:\"}, {\"role\": \"assistant\", \"content\": \"(\\\"entity\\\"<|>\\\"Nitric Acid\\\"<|>\\\"category\\\"<|>\\\"Nitric Acid is a chemical compound involved in photodecomposition and reactions with iron oxide.\\\")##\\n(\\\"entity\\\"<|>\\\"Iron Oxide\\\"<|>\\\"category\\\"<|>\\\"Iron Oxide is a chemical compound that reacts with nitric acid under heating conditions.\\\")##\\n(\\\"entity\\\"<|>\\\"Hydrogen\\\"<|>\\\"category\\\"<|>\\\"Hydrogen is a chemical element that reacts with oxygen to form water through combustion.\\\")##\\n(\\\"entity\\\"<|>\\\"Oxygen\\\"<|>\\\"category\\\"<|>\\\"Oxygen is a chemical element that reacts with hydrogen to form water through combustion.\\\")##\\n(\\\"entity\\\"<|>\\\"Water\\\"<|>\\\"category\\\"<|>\\\"Water is the product of the combustion reaction between hydrogen and oxygen.\\\")##\\n(\\\"relationship\\\"<|>\\\"Nitric Acid\\\"<|>\\\"Iron Oxide\\\"<|>\\\"Nitric Acid reacts with Iron Oxide under heating to produce iron nitrate, water, and nitrogen dioxide.\\\"<|>\\\"chemical reaction, heating\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Hydrogen\\\"<|>\\\"Oxygen\\\"<|>\\\"Hydrogen and Oxygen react through combustion to produce water.\\\"<|>\\\"combustion, chemical reaction\\\"<|>9)##\\n(\\\"relationship\\\"<|>\\\"Nitric Acid\\\"<|>\\\"Water\\\"<|>\\\"Nitric Acid decomposes under light to produce nitrogen dioxide, oxygen, and water.\\\"<|>\\\"photodecomposition, chemical reaction\\\"<|>7)##\\n(\\\"content_keywords\\\"<|>\\\"chemical reactions, photodecomposition, combustion, chemistry\\\")<|COMPLETE|>\"}]\nMANY entities and relationships were missed in the last extraction.\n\n---Remember Steps---\n\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, use same language as input text. If English, capitalized the name.\n- entity_type: One of the following types: [organization,person,geo,event,category]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><|><|>)\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n- relationship_keywords: one or more high-level key words that summarize the overarching nature of the relationship, focusing on concepts or themes rather than specific details\nFormat each relationship as (\"relationship\"<|><|><|><|><|>)\n\n3. Identify high-level key words that summarize the main concepts, themes, or topics of the entire text. These should capture the overarching ideas present in the document.\nFormat the content-level key words as (\"content_keywords\"<|>)\n\n4. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n5. When finished, output <|COMPLETE|>\n\n---Output---\n\nAdd them below using the same format:" + }, + "405460a53d057f938c2f74dda5548a63": { + "return": "(\"entity\"<|>\"Nitric Acid\"<|>\"category\"<|>\"Nitric acid (HNO₃) is a chemical compound involved in photodecomposition and reactions with iron oxide.\")##\n(\"entity\"<|>\"Iron Oxide\"<|>\"category\"<|>\"Iron oxide (FeO) is a chemical compound that reacts with nitric acid under heat to produce iron nitrate, water, and nitrogen dioxide.\")##\n(\"entity\"<|>\"Hydrogen\"<|>\"category\"<|>\"Hydrogen (H₂) is a chemical element that combusts with oxygen to form water.\")##\n(\"entity\"<|>\"Oxygen\"<|>\"category\"<|>\"Oxygen (O₂) is a chemical element involved in combustion reactions with hydrogen.\")##\n(\"entity\"<|>\"Water\"<|>\"category\"<|>\"Water (H₂O) is the product of the combustion reaction between hydrogen and oxygen.\")##\n(\"entity\"<|>\"Nitrogen Dioxide\"<|>\"category\"<|>\"Nitrogen dioxide (NO₂) is a byproduct of the decomposition of nitric acid and the reaction between iron oxide and nitric acid.\")##\n(\"entity\"<|>\"Iron Nitrate\"<|>\"category\"<|>\"Iron nitrate (Fe(NO₃)₃) is a product of the reaction between iron oxide and nitric acid.\")##\n(\"relationship\"<|>\"Nitric Acid\"<|>\"Nitrogen Dioxide\"<|>\"Nitric acid decomposes under light to produce nitrogen dioxide, oxygen, and water.\"<|>\"chemical decomposition, byproducts\"<|>8)##\n(\"relationship\"<|>\"Iron Oxide\"<|>\"Nitric Acid\"<|>\"Iron oxide reacts with nitric acid under heat to produce iron nitrate, water, and nitrogen dioxide.\"<|>\"chemical reaction, heat application\"<|>9)##\n(\"relationship\"<|>\"Hydrogen\"<|>\"Oxygen\"<|>\"Hydrogen combusts with oxygen to form water.\"<|>\"combustion reaction, synthesis\"<|>10)##\n(\"relationship\"<|>\"Iron Oxide\"<|>\"Iron Nitrate\"<|>\"Iron oxide is converted into iron nitrate through its reaction with nitric acid.\"<|>\"chemical transformation, product formation\"<|>7)##\n(\"content_keywords\"<|>\"chemical reactions, decomposition, combustion, synthesis, chemical compounds\")<|COMPLETE|>", + "cache_type": "extract", + "chunk_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", + "embedding": null, + "embedding_shape": null, + "embedding_min": null, + "embedding_max": null, + "original_prompt": "---Goal---\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\nUse English as output language.\n\n---Steps---\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, use same language as input text. If English, capitalized the name.\n- entity_type: One of the following types: [organization,person,geo,event,category]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><|><|>)\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n- relationship_keywords: one or more high-level key words that summarize the overarching nature of the relationship, focusing on concepts or themes rather than specific details\nFormat each relationship as (\"relationship\"<|><|><|><|><|>)\n\n3. Identify high-level key words that summarize the main concepts, themes, or topics of the entire text. These should capture the overarching ideas present in the document.\nFormat the content-level key words as (\"content_keywords\"<|>)\n\n4. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n5. When finished, output <|COMPLETE|>\n\n######################\n---Examples---\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\n```\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \"If this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\"\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n```\n\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>\"power dynamics, perspective shift\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>\"shared goals, rebellion\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>\"conflict resolution, mutual respect\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>\"ideological conflict, rebellion\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>\"reverence, technological significance\"<|>9)##\n(\"content_keywords\"<|>\"power dynamics, ideological conflict, discovery, rebellion\")<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [company, index, commodity, market_trend, economic_policy, biological]\nText:\n```\nStock markets faced a sharp downturn today as tech giants saw significant declines, with the Global Tech Index dropping by 3.4% in midday trading. Analysts attribute the selloff to investor concerns over rising interest rates and regulatory uncertainty.\n\nAmong the hardest hit, Nexon Technologies saw its stock plummet by 7.8% after reporting lower-than-expected quarterly earnings. In contrast, Omega Energy posted a modest 2.1% gain, driven by rising oil prices.\n\nMeanwhile, commodity markets reflected a mixed sentiment. Gold futures rose by 1.5%, reaching $2,080 per ounce, as investors sought safe-haven assets. Crude oil prices continued their rally, climbing to $87.60 per barrel, supported by supply constraints and strong demand.\n\nFinancial experts are closely watching the Federal Reserve's next move, as speculation grows over potential rate hikes. The upcoming policy announcement is expected to influence investor confidence and overall market stability.\n```\n\nOutput:\n(\"entity\"<|>\"Global Tech Index\"<|>\"index\"<|>\"The Global Tech Index tracks the performance of major technology stocks and experienced a 3.4% decline today.\")##\n(\"entity\"<|>\"Nexon Technologies\"<|>\"company\"<|>\"Nexon Technologies is a tech company that saw its stock decline by 7.8% after disappointing earnings.\")##\n(\"entity\"<|>\"Omega Energy\"<|>\"company\"<|>\"Omega Energy is an energy company that gained 2.1% in stock value due to rising oil prices.\")##\n(\"entity\"<|>\"Gold Futures\"<|>\"commodity\"<|>\"Gold futures rose by 1.5%, indicating increased investor interest in safe-haven assets.\")##\n(\"entity\"<|>\"Crude Oil\"<|>\"commodity\"<|>\"Crude oil prices rose to $87.60 per barrel due to supply constraints and strong demand.\")##\n(\"entity\"<|>\"Market Selloff\"<|>\"market_trend\"<|>\"Market selloff refers to the significant decline in stock values due to investor concerns over interest rates and regulations.\")##\n(\"entity\"<|>\"Federal Reserve Policy Announcement\"<|>\"economic_policy\"<|>\"The Federal Reserve's upcoming policy announcement is expected to impact investor confidence and market stability.\")##\n(\"relationship\"<|>\"Global Tech Index\"<|>\"Market Selloff\"<|>\"The decline in the Global Tech Index is part of the broader market selloff driven by investor concerns.\"<|>\"market performance, investor sentiment\"<|>9)##\n(\"relationship\"<|>\"Nexon Technologies\"<|>\"Global Tech Index\"<|>\"Nexon Technologies' stock decline contributed to the overall drop in the Global Tech Index.\"<|>\"company impact, index movement\"<|>8)##\n(\"relationship\"<|>\"Gold Futures\"<|>\"Market Selloff\"<|>\"Gold prices rose as investors sought safe-haven assets during the market selloff.\"<|>\"market reaction, safe-haven investment\"<|>10)##\n(\"relationship\"<|>\"Federal Reserve Policy Announcement\"<|>\"Market Selloff\"<|>\"Speculation over Federal Reserve policy changes contributed to market volatility and investor selloff.\"<|>\"interest rate impact, financial regulation\"<|>7)##\n(\"content_keywords\"<|>\"market downturn, investor sentiment, commodities, Federal Reserve, stock performance\")<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [economic_policy, athlete, event, location, record, organization, equipment]\nText:\n```\nAt the World Athletics Championship in Tokyo, Noah Carter broke the 100m sprint record using cutting-edge carbon-fiber spikes.\n```\n\nOutput:\n(\"entity\"<|>\"World Athletics Championship\"<|>\"event\"<|>\"The World Athletics Championship is a global sports competition featuring top athletes in track and field.\")##\n(\"entity\"<|>\"Tokyo\"<|>\"location\"<|>\"Tokyo is the host city of the World Athletics Championship.\")##\n(\"entity\"<|>\"Noah Carter\"<|>\"athlete\"<|>\"Noah Carter is a sprinter who set a new record in the 100m sprint at the World Athletics Championship.\")##\n(\"entity\"<|>\"100m Sprint Record\"<|>\"record\"<|>\"The 100m sprint record is a benchmark in athletics, recently broken by Noah Carter.\")##\n(\"entity\"<|>\"Carbon-Fiber Spikes\"<|>\"equipment\"<|>\"Carbon-fiber spikes are advanced sprinting shoes that provide enhanced speed and traction.\")##\n(\"entity\"<|>\"World Athletics Federation\"<|>\"organization\"<|>\"The World Athletics Federation is the governing body overseeing the World Athletics Championship and record validations.\")##\n(\"relationship\"<|>\"World Athletics Championship\"<|>\"Tokyo\"<|>\"The World Athletics Championship is being hosted in Tokyo.\"<|>\"event location, international competition\"<|>8)##\n(\"relationship\"<|>\"Noah Carter\"<|>\"100m Sprint Record\"<|>\"Noah Carter set a new 100m sprint record at the championship.\"<|>\"athlete achievement, record-breaking\"<|>10)##\n(\"relationship\"<|>\"Noah Carter\"<|>\"Carbon-Fiber Spikes\"<|>\"Noah Carter used carbon-fiber spikes to enhance performance during the race.\"<|>\"athletic equipment, performance boost\"<|>7)##\n(\"relationship\"<|>\"World Athletics Federation\"<|>\"100m Sprint Record\"<|>\"The World Athletics Federation is responsible for validating and recognizing new sprint records.\"<|>\"sports regulation, record certification\"<|>9)##\n(\"content_keywords\"<|>\"athletics, sprinting, record-breaking, sports technology, competition\")<|COMPLETE|>\n#############################\n\n#############################\n---Real Data---\n######################\nEntity_types: [organization,person,geo,event,category]\nText:\n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/c8c0221648af480699a364fd50cbbeb6/media/image1.png)\n######################\nOutput:" + }, + "9e3c646a642e6479570a8501ad112849": { + "return": "(\"entity\"<|>\"Nitric Acid (HNO₃)\"<|>\"category\"<|>\"A strong mineral acid that undergoes photodecomposition when exposed to light, producing nitrogen dioxide, oxygen, and water.\")##\n(\"entity\"<|>\"Nitrogen Dioxide (NO₂)\"<|>\"category\"<|>\"A reddish-brown toxic gas produced as a byproduct in nitric acid decomposition and iron oxide reactions.\")##\n(\"entity\"<|>\"Oxygen (O₂)\"<|>\"category\"<|>\"A diatomic gas produced in nitric acid decomposition and consumed in hydrogen combustion.\")##\n(\"entity\"<|>\"Water (H₂O)\"<|>\"category\"<|>\"A compound formed in both nitric acid decomposition and hydrogen-oxygen combustion.\")##\n(\"entity\"<|>\"Iron Oxide (FeO)\"<|>\"category\"<|>\"A chemical compound that reacts with nitric acid to form iron nitrate, water, and nitrogen dioxide.\")##\n(\"entity\"<|>\"Iron Nitrate (Fe(NO₃)₃)\"<|>\"category\"<|>\"A product formed when iron oxide reacts with nitric acid under heat.\")##\n(\"entity\"<|>\"Hydrogen (H₂)\"<|>\"category\"<|>\"A flammable gas that combusts with oxygen to form water.\")##\n(\"entity\"<|>\"Combustion Reaction\"<|>\"event\"<|>\"The chemical process where hydrogen reacts with oxygen to produce water.\")##\n(\"entity\"<|>\"Photodecomposition\"<|>\"event\"<|>\"The chemical decomposition of nitric acid under light exposure.\")##\n(\"entity\"<|>\"Chemical Equation\"<|>\"category\"<|>\"The symbolic representation of chemical reactions described in the text.\")##\n(\"relationship\"<|>\"Nitric Acid (HNO₃)\"<|>\"Nitrogen Dioxide (NO₂)\"<|>\"Nitric acid decomposes to produce nitrogen dioxide as a primary byproduct.\"<|>\"chemical decomposition, byproduct formation\"<|>9)##\n(\"relationship\"<|>\"Nitric Acid (HNO₃)\"<|>\"Oxygen (O₂)\"<|>\"Nitric acid decomposition releases oxygen gas as a byproduct.\"<|>\"gas production, chemical reaction\"<|>8)##\n(\"relationship\"<|>\"Nitric Acid (HNO₃)\"<|>\"Water (H₂O)\"<|>\"Water is produced as a byproduct of nitric acid decomposition.\"<|>\"chemical byproduct, reaction output\"<|>7)##\n(\"relationship\"<|>\"Iron Oxide (FeO)\"<|>\"Nitric Acid (HNO₃)\"<|>\"Iron oxide reacts with nitric acid under heat to produce various compounds.\"<|>\"acid-base reaction, heat application\"<|>9)##\n(\"relationship\"<|>\"Iron Oxide (FeO)\"<|>\"Iron Nitrate (Fe(NO₃)₃)\"<|>\"Iron oxide is converted to iron nitrate through reaction with nitric acid.\"<|>\"chemical transformation, product formation\"<|>8)##\n(\"relationship\"<|>\"Iron Oxide (FeO)\"<|>\"Nitrogen Dioxide (NO₂)\"<|>\"Reaction between iron oxide and nitric acid produces nitrogen dioxide.\"<|>\"gas production, chemical reaction\"<|>7)##\n(\"relationship\"<|>\"Hydrogen (H₂)\"<|>\"Oxygen (O₂)\"<|>\"Hydrogen combusts with oxygen in a chemical reaction to produce water.\"<|>\"combustion, synthesis reaction\"<|>10)##\n(\"relationship\"<|>\"Hydrogen (H₂)\"<|>\"Water (H₂O)\"<|>\"Hydrogen is converted to water through combustion with oxygen.\"<|>\"product formation, chemical synthesis\"<|>9)##\n(\"relationship\"<|>\"Photodecomposition\"<|>\"Nitric Acid (HNO₃)\"<|>\"Photodecomposition is the process that breaks down nitric acid.\"<|>\"chemical process, decomposition\"<|>8)##\n(\"relationship\"<|>\"Combustion Reaction\"<|>\"Chemical Equation\"<|>\"The combustion reaction is represented by a chemical equation.\"<|>\"symbolic representation, chemical notation\"<|>7)##\n(\"content_keywords\"<|>\"chemical reactions, decomposition, combustion, acid-base reactions, chemical equations, gas production\")<|COMPLETE|>", + "cache_type": "extract", + "chunk_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", + "embedding": null, + "embedding_shape": null, + "embedding_min": null, + "embedding_max": null, + "original_prompt": "[{\"role\": \"user\", \"content\": \"---Goal---\\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\\nUse English as output language.\\n\\n---Steps---\\n1. Identify all entities. For each identified entity, extract the following information:\\n- entity_name: Name of the entity, use same language as input text. If English, capitalized the name.\\n- entity_type: One of the following types: [organization,person,geo,event,category]\\n- entity_description: Comprehensive description of the entity's attributes and activities\\nFormat each entity as (\\\"entity\\\"<|><|><|>)\\n\\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\\nFor each pair of related entities, extract the following information:\\n- source_entity: name of the source entity, as identified in step 1\\n- target_entity: name of the target entity, as identified in step 1\\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\\n- relationship_keywords: one or more high-level key words that summarize the overarching nature of the relationship, focusing on concepts or themes rather than specific details\\nFormat each relationship as (\\\"relationship\\\"<|><|><|><|><|>)\\n\\n3. Identify high-level key words that summarize the main concepts, themes, or topics of the entire text. These should capture the overarching ideas present in the document.\\nFormat the content-level key words as (\\\"content_keywords\\\"<|>)\\n\\n4. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\\n\\n5. When finished, output <|COMPLETE|>\\n\\n######################\\n---Examples---\\n######################\\nExample 1:\\n\\nEntity_types: [person, technology, mission, organization, location]\\nText:\\n```\\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\\n\\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \\\"If this tech can be understood...\\\" Taylor said, their voice quieter, \\\"It could change the game for us. For all of us.\\\"\\n\\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\\n\\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\\n```\\n\\nOutput:\\n(\\\"entity\\\"<|>\\\"Alex\\\"<|>\\\"person\\\"<|>\\\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\\\")##\\n(\\\"entity\\\"<|>\\\"Taylor\\\"<|>\\\"person\\\"<|>\\\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\\\")##\\n(\\\"entity\\\"<|>\\\"Jordan\\\"<|>\\\"person\\\"<|>\\\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\\\")##\\n(\\\"entity\\\"<|>\\\"Cruz\\\"<|>\\\"person\\\"<|>\\\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\\\")##\\n(\\\"entity\\\"<|>\\\"The Device\\\"<|>\\\"technology\\\"<|>\\\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\\\")##\\n(\\\"relationship\\\"<|>\\\"Alex\\\"<|>\\\"Taylor\\\"<|>\\\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\\\"<|>\\\"power dynamics, perspective shift\\\"<|>7)##\\n(\\\"relationship\\\"<|>\\\"Alex\\\"<|>\\\"Jordan\\\"<|>\\\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\\\"<|>\\\"shared goals, rebellion\\\"<|>6)##\\n(\\\"relationship\\\"<|>\\\"Taylor\\\"<|>\\\"Jordan\\\"<|>\\\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\\\"<|>\\\"conflict resolution, mutual respect\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Jordan\\\"<|>\\\"Cruz\\\"<|>\\\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\\\"<|>\\\"ideological conflict, rebellion\\\"<|>5)##\\n(\\\"relationship\\\"<|>\\\"Taylor\\\"<|>\\\"The Device\\\"<|>\\\"Taylor shows reverence towards the device, indicating its importance and potential impact.\\\"<|>\\\"reverence, technological significance\\\"<|>9)##\\n(\\\"content_keywords\\\"<|>\\\"power dynamics, ideological conflict, discovery, rebellion\\\")<|COMPLETE|>\\n#############################\\nExample 2:\\n\\nEntity_types: [company, index, commodity, market_trend, economic_policy, biological]\\nText:\\n```\\nStock markets faced a sharp downturn today as tech giants saw significant declines, with the Global Tech Index dropping by 3.4% in midday trading. Analysts attribute the selloff to investor concerns over rising interest rates and regulatory uncertainty.\\n\\nAmong the hardest hit, Nexon Technologies saw its stock plummet by 7.8% after reporting lower-than-expected quarterly earnings. In contrast, Omega Energy posted a modest 2.1% gain, driven by rising oil prices.\\n\\nMeanwhile, commodity markets reflected a mixed sentiment. Gold futures rose by 1.5%, reaching $2,080 per ounce, as investors sought safe-haven assets. Crude oil prices continued their rally, climbing to $87.60 per barrel, supported by supply constraints and strong demand.\\n\\nFinancial experts are closely watching the Federal Reserve's next move, as speculation grows over potential rate hikes. The upcoming policy announcement is expected to influence investor confidence and overall market stability.\\n```\\n\\nOutput:\\n(\\\"entity\\\"<|>\\\"Global Tech Index\\\"<|>\\\"index\\\"<|>\\\"The Global Tech Index tracks the performance of major technology stocks and experienced a 3.4% decline today.\\\")##\\n(\\\"entity\\\"<|>\\\"Nexon Technologies\\\"<|>\\\"company\\\"<|>\\\"Nexon Technologies is a tech company that saw its stock decline by 7.8% after disappointing earnings.\\\")##\\n(\\\"entity\\\"<|>\\\"Omega Energy\\\"<|>\\\"company\\\"<|>\\\"Omega Energy is an energy company that gained 2.1% in stock value due to rising oil prices.\\\")##\\n(\\\"entity\\\"<|>\\\"Gold Futures\\\"<|>\\\"commodity\\\"<|>\\\"Gold futures rose by 1.5%, indicating increased investor interest in safe-haven assets.\\\")##\\n(\\\"entity\\\"<|>\\\"Crude Oil\\\"<|>\\\"commodity\\\"<|>\\\"Crude oil prices rose to $87.60 per barrel due to supply constraints and strong demand.\\\")##\\n(\\\"entity\\\"<|>\\\"Market Selloff\\\"<|>\\\"market_trend\\\"<|>\\\"Market selloff refers to the significant decline in stock values due to investor concerns over interest rates and regulations.\\\")##\\n(\\\"entity\\\"<|>\\\"Federal Reserve Policy Announcement\\\"<|>\\\"economic_policy\\\"<|>\\\"The Federal Reserve's upcoming policy announcement is expected to impact investor confidence and market stability.\\\")##\\n(\\\"relationship\\\"<|>\\\"Global Tech Index\\\"<|>\\\"Market Selloff\\\"<|>\\\"The decline in the Global Tech Index is part of the broader market selloff driven by investor concerns.\\\"<|>\\\"market performance, investor sentiment\\\"<|>9)##\\n(\\\"relationship\\\"<|>\\\"Nexon Technologies\\\"<|>\\\"Global Tech Index\\\"<|>\\\"Nexon Technologies' stock decline contributed to the overall drop in the Global Tech Index.\\\"<|>\\\"company impact, index movement\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Gold Futures\\\"<|>\\\"Market Selloff\\\"<|>\\\"Gold prices rose as investors sought safe-haven assets during the market selloff.\\\"<|>\\\"market reaction, safe-haven investment\\\"<|>10)##\\n(\\\"relationship\\\"<|>\\\"Federal Reserve Policy Announcement\\\"<|>\\\"Market Selloff\\\"<|>\\\"Speculation over Federal Reserve policy changes contributed to market volatility and investor selloff.\\\"<|>\\\"interest rate impact, financial regulation\\\"<|>7)##\\n(\\\"content_keywords\\\"<|>\\\"market downturn, investor sentiment, commodities, Federal Reserve, stock performance\\\")<|COMPLETE|>\\n#############################\\nExample 3:\\n\\nEntity_types: [economic_policy, athlete, event, location, record, organization, equipment]\\nText:\\n```\\nAt the World Athletics Championship in Tokyo, Noah Carter broke the 100m sprint record using cutting-edge carbon-fiber spikes.\\n```\\n\\nOutput:\\n(\\\"entity\\\"<|>\\\"World Athletics Championship\\\"<|>\\\"event\\\"<|>\\\"The World Athletics Championship is a global sports competition featuring top athletes in track and field.\\\")##\\n(\\\"entity\\\"<|>\\\"Tokyo\\\"<|>\\\"location\\\"<|>\\\"Tokyo is the host city of the World Athletics Championship.\\\")##\\n(\\\"entity\\\"<|>\\\"Noah Carter\\\"<|>\\\"athlete\\\"<|>\\\"Noah Carter is a sprinter who set a new record in the 100m sprint at the World Athletics Championship.\\\")##\\n(\\\"entity\\\"<|>\\\"100m Sprint Record\\\"<|>\\\"record\\\"<|>\\\"The 100m sprint record is a benchmark in athletics, recently broken by Noah Carter.\\\")##\\n(\\\"entity\\\"<|>\\\"Carbon-Fiber Spikes\\\"<|>\\\"equipment\\\"<|>\\\"Carbon-fiber spikes are advanced sprinting shoes that provide enhanced speed and traction.\\\")##\\n(\\\"entity\\\"<|>\\\"World Athletics Federation\\\"<|>\\\"organization\\\"<|>\\\"The World Athletics Federation is the governing body overseeing the World Athletics Championship and record validations.\\\")##\\n(\\\"relationship\\\"<|>\\\"World Athletics Championship\\\"<|>\\\"Tokyo\\\"<|>\\\"The World Athletics Championship is being hosted in Tokyo.\\\"<|>\\\"event location, international competition\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Noah Carter\\\"<|>\\\"100m Sprint Record\\\"<|>\\\"Noah Carter set a new 100m sprint record at the championship.\\\"<|>\\\"athlete achievement, record-breaking\\\"<|>10)##\\n(\\\"relationship\\\"<|>\\\"Noah Carter\\\"<|>\\\"Carbon-Fiber Spikes\\\"<|>\\\"Noah Carter used carbon-fiber spikes to enhance performance during the race.\\\"<|>\\\"athletic equipment, performance boost\\\"<|>7)##\\n(\\\"relationship\\\"<|>\\\"World Athletics Federation\\\"<|>\\\"100m Sprint Record\\\"<|>\\\"The World Athletics Federation is responsible for validating and recognizing new sprint records.\\\"<|>\\\"sports regulation, record certification\\\"<|>9)##\\n(\\\"content_keywords\\\"<|>\\\"athletics, sprinting, record-breaking, sports technology, competition\\\")<|COMPLETE|>\\n#############################\\n\\n#############################\\n---Real Data---\\n######################\\nEntity_types: [organization,person,geo,event,category]\\nText:\\n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/c8c0221648af480699a364fd50cbbeb6/media/image1.png)\\n######################\\nOutput:\"}, {\"role\": \"assistant\", \"content\": \"(\\\"entity\\\"<|>\\\"Nitric Acid\\\"<|>\\\"category\\\"<|>\\\"Nitric acid (HNO₃) is a chemical compound involved in photodecomposition and reactions with iron oxide.\\\")##\\n(\\\"entity\\\"<|>\\\"Iron Oxide\\\"<|>\\\"category\\\"<|>\\\"Iron oxide (FeO) is a chemical compound that reacts with nitric acid under heat to produce iron nitrate, water, and nitrogen dioxide.\\\")##\\n(\\\"entity\\\"<|>\\\"Hydrogen\\\"<|>\\\"category\\\"<|>\\\"Hydrogen (H₂) is a chemical element that combusts with oxygen to form water.\\\")##\\n(\\\"entity\\\"<|>\\\"Oxygen\\\"<|>\\\"category\\\"<|>\\\"Oxygen (O₂) is a chemical element involved in combustion reactions with hydrogen.\\\")##\\n(\\\"entity\\\"<|>\\\"Water\\\"<|>\\\"category\\\"<|>\\\"Water (H₂O) is the product of the combustion reaction between hydrogen and oxygen.\\\")##\\n(\\\"entity\\\"<|>\\\"Nitrogen Dioxide\\\"<|>\\\"category\\\"<|>\\\"Nitrogen dioxide (NO₂) is a byproduct of the decomposition of nitric acid and the reaction between iron oxide and nitric acid.\\\")##\\n(\\\"entity\\\"<|>\\\"Iron Nitrate\\\"<|>\\\"category\\\"<|>\\\"Iron nitrate (Fe(NO₃)₃) is a product of the reaction between iron oxide and nitric acid.\\\")##\\n(\\\"relationship\\\"<|>\\\"Nitric Acid\\\"<|>\\\"Nitrogen Dioxide\\\"<|>\\\"Nitric acid decomposes under light to produce nitrogen dioxide, oxygen, and water.\\\"<|>\\\"chemical decomposition, byproducts\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Iron Oxide\\\"<|>\\\"Nitric Acid\\\"<|>\\\"Iron oxide reacts with nitric acid under heat to produce iron nitrate, water, and nitrogen dioxide.\\\"<|>\\\"chemical reaction, heat application\\\"<|>9)##\\n(\\\"relationship\\\"<|>\\\"Hydrogen\\\"<|>\\\"Oxygen\\\"<|>\\\"Hydrogen combusts with oxygen to form water.\\\"<|>\\\"combustion reaction, synthesis\\\"<|>10)##\\n(\\\"relationship\\\"<|>\\\"Iron Oxide\\\"<|>\\\"Iron Nitrate\\\"<|>\\\"Iron oxide is converted into iron nitrate through its reaction with nitric acid.\\\"<|>\\\"chemical transformation, product formation\\\"<|>7)##\\n(\\\"content_keywords\\\"<|>\\\"chemical reactions, decomposition, combustion, synthesis, chemical compounds\\\")<|COMPLETE|>\"}]\nMANY entities and relationships were missed in the last extraction.\n\n---Remember Steps---\n\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, use same language as input text. If English, capitalized the name.\n- entity_type: One of the following types: [organization,person,geo,event,category]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><|><|>)\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n- relationship_keywords: one or more high-level key words that summarize the overarching nature of the relationship, focusing on concepts or themes rather than specific details\nFormat each relationship as (\"relationship\"<|><|><|><|><|>)\n\n3. Identify high-level key words that summarize the main concepts, themes, or topics of the entire text. These should capture the overarching ideas present in the document.\nFormat the content-level key words as (\"content_keywords\"<|>)\n\n4. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n5. When finished, output <|COMPLETE|>\n\n---Output---\n\nAdd them below using the same format:" } }, "hybrid": { @@ -31,6 +51,16 @@ "embedding_min": null, "embedding_max": null, "original_prompt": "氢气与氧气燃烧的现象" + }, + "d76baeceecdfd9ed35f72d4f94537986": { + "return": "{\"high_level_keywords\": [\"\\u6c22\\u6c14\\u71c3\\u70e7\", \"\\u6c27\\u6c14\\u53cd\\u5e94\", \"\\u5316\\u5b66\\u53cd\\u5e94\\u73b0\\u8c61\"], \"low_level_keywords\": [\"\\u706b\\u7130\", \"\\u6c34\\u751f\\u6210\", \"\\u7206\\u70b8\\u6781\\u9650\", \"\\u653e\\u70ed\\u53cd\\u5e94\", \"\\u5316\\u5b66\\u65b9\\u7a0b\\u5f0f\"]}", + "cache_type": "keywords", + "chunk_id": null, + "embedding": null, + "embedding_shape": null, + "embedding_min": null, + "embedding_max": null, + "original_prompt": "氢气与氧气燃烧的现象?" } } } \ 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 index 629d7475..23100f01 100644 --- a/dsLightRag/Topic/Chemistry/kv_store_text_chunks.json +++ b/dsLightRag/Topic/Chemistry/kv_store_text_chunks.json @@ -1,9 +1,9 @@ { - "chunk-e4dee9f72e6c899fd70a04b77c38d8d0": { - "tokens": 197, - "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$$\n![](./Images/500a35d1483c4b9d934ff584073c6590/media/image1.png)", + "chunk-d0c3bf985a3b3b903e2fb35515fdff1e": { + "tokens": 195, + "content": "硝酸光照分解的方程式\n$$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$$\n![](./Images/c8c0221648af480699a364fd50cbbeb6/media/image1.png)", "chunk_order_index": 0, - "full_doc_id": "doc-e4dee9f72e6c899fd70a04b77c38d8d0", + "full_doc_id": "doc-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source" } } \ No newline at end of file diff --git a/dsLightRag/Topic/Chemistry/vdb_chunks.json b/dsLightRag/Topic/Chemistry/vdb_chunks.json index 5d2dc225..1820f2e0 100644 --- a/dsLightRag/Topic/Chemistry/vdb_chunks.json +++ b/dsLightRag/Topic/Chemistry/vdb_chunks.json @@ -1 +1 @@ -{"embedding_dim": 1024, "data": [{"__id__": "chunk-e4dee9f72e6c899fd70a04b77c38d8d0", "__created_at__": 1752193998, "content": "硝酸光照分解的方程式\n$$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$$\n![](./Images/500a35d1483c4b9d934ff584073c6590/media/image1.png)", "full_doc_id": "doc-e4dee9f72e6c899fd70a04b77c38d8d0", "file_path": 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NU72o0gu9hb2uPDgQTbxhux+9YI0UvLFCZTxgC+I7joeZPBsASrxljIQ82QCGO/7Buzvtbj88xLSDPGzI6DrBqC+9aD5HPbPf1LtclA49aD7HvA14SD2BMw08PlYAPQZkhT22O+s8cDDTOjEL87uhn6Y9nWXHPL7dtLw6HCE9pNkFPUcHMzxDDq27PXi3vOjFe7wtU0Y9ZiOKPMoJoDx50hy8dw2MOjdRpjzHjme9InQIPYPKkrwYNU+8nqyKuzlXkL0ey8Q8u2L8vDVeirzPMDE9TXUHvXGft7wVq608mWxBPKlQWbs5hRu9m3iVOwwJ5LyWUYQ9elBqvbqj1TyWocY8EIScOzZzXTySqEA82QAGvbolCL0C/Jo813J/O3HvebvXcv+8+/ZAvdiRITuVczs7dzUtPTTHhDwNuSG9QTDkOzLpuzxGmE482i4RPO5MCD3wqB483MuAPA=="} \ No newline at end of file +{"embedding_dim": 1024, "data": [{"__id__": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "__created_at__": 1752205345, "content": "硝酸光照分解的方程式\n$$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/c8c0221648af480699a364fd50cbbeb6/media/image1.png)", "full_doc_id": "doc-d0c3bf985a3b3b903e2fb35515fdff1e", "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 index 546055b6..7bc4cdfa 100644 --- a/dsLightRag/Topic/Chemistry/vdb_entities.json +++ b/dsLightRag/Topic/Chemistry/vdb_entities.json @@ -1 +1 @@ -{"embedding_dim": 1024, "data": [{"__id__": "ent-28910c9747db991734c7c471be861a0e", "__created_at__": 1752194223, "entity_name": "Nitric Acid", "content": "Nitric Acid\nNitric Acid is a chemical compound involved in photodecomposition and reactions with iron oxide.", "source_id": "chunk-e4dee9f72e6c899fd70a04b77c38d8d0", "file_path": "unknown_source"}, {"__id__": "ent-25da832997a0aff5c601866819f976b6", "__created_at__": 1752194223, "entity_name": "Iron Oxide", "content": "Iron Oxide\nIron Oxide is a chemical compound that reacts with nitric acid under heating conditions.", "source_id": "chunk-e4dee9f72e6c899fd70a04b77c38d8d0", "file_path": "unknown_source"}, {"__id__": "ent-e4ce2ac56db8b92aa60065aee6884c25", "__created_at__": 1752194223, "entity_name": "Hydrogen", "content": "Hydrogen\nHydrogen is a chemical element that reacts with oxygen to form water through combustion.", "source_id": "chunk-e4dee9f72e6c899fd70a04b77c38d8d0", "file_path": "unknown_source"}, {"__id__": "ent-990bf420df89c0c6edf606be2022cbea", "__created_at__": 1752194223, "entity_name": "Oxygen", "content": "Oxygen\nOxygen is a chemical element that reacts with hydrogen to form water through combustion.", "source_id": "chunk-e4dee9f72e6c899fd70a04b77c38d8d0", "file_path": "unknown_source"}, {"__id__": "ent-27634ff8002b12e75d98e07ccd005d18", "__created_at__": 1752194223, "entity_name": "Water", "content": "Water\nWater is the product of the combustion reaction between hydrogen and oxygen.", "source_id": "chunk-e4dee9f72e6c899fd70a04b77c38d8d0", "file_path": "unknown_source"}, {"__id__": "ent-8956959f0a4b8b0cc0ec1276ff1ea096", "__created_at__": 1752194223, "entity_name": "Nitrogen Dioxide", "content": "Nitrogen Dioxide\nNitrogen Dioxide (NO₂) is a reddish-brown gas produced in both the photodecomposition of nitric acid and its reaction with iron oxide.", "source_id": "chunk-e4dee9f72e6c899fd70a04b77c38d8d0", "file_path": "unknown_source"}, {"__id__": "ent-f168f7b110939759992482a8fc06f229", "__created_at__": 1752194223, "entity_name": "Iron Nitrate", "content": "Iron Nitrate\nIron Nitrate (Fe(NO₃)₃) is a chemical compound formed when iron oxide reacts with nitric acid under heating conditions.", "source_id": "chunk-e4dee9f72e6c899fd70a04b77c38d8d0", "file_path": "unknown_source"}, {"__id__": "ent-acfe2ed2a788e873bfbf07a45e79d4d8", "__created_at__": 1752194223, "entity_name": "Photodecomposition", "content": "Photodecomposition\nPhotodecomposition is the chemical breakdown of nitric acid when exposed to light, producing nitrogen dioxide, oxygen, and water.", "source_id": "chunk-e4dee9f72e6c899fd70a04b77c38d8d0", "file_path": "unknown_source"}, {"__id__": "ent-a51930cdea9f155af953d062552f859b", "__created_at__": 1752194223, "entity_name": "Combustion", "content": "Combustion\nCombustion is the chemical reaction between hydrogen and oxygen that produces water, typically accompanied by heat and light.", "source_id": "chunk-e4dee9f72e6c899fd70a04b77c38d8d0", "file_path": "unknown_source"}], "matrix": 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"} 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"chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-990bf420df89c0c6edf606be2022cbea", "__created_at__": 1752205395, "entity_name": "Oxygen", "content": "Oxygen\nOxygen (O₂) is a chemical element involved in combustion reactions with hydrogen.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-27634ff8002b12e75d98e07ccd005d18", "__created_at__": 1752205395, "entity_name": "Water", "content": "Water\nWater (H₂O) is the product of the combustion reaction between hydrogen and oxygen.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-8956959f0a4b8b0cc0ec1276ff1ea096", "__created_at__": 1752205395, "entity_name": "Nitrogen Dioxide", "content": "Nitrogen Dioxide\nNitrogen dioxide (NO₂) is a byproduct of the decomposition of nitric acid and the reaction between iron oxide and nitric acid.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-f168f7b110939759992482a8fc06f229", "__created_at__": 1752205395, "entity_name": "Iron Nitrate", "content": "Iron Nitrate\nIron nitrate (Fe(NO₃)₃) is a product of the reaction between iron oxide and nitric acid.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-5415e49c5d264aaf162d5c97c9e09a5f", "__created_at__": 1752205395, "entity_name": "Nitric Acid (HNO₃)", "content": "Nitric Acid (HNO₃)\nA strong mineral acid that undergoes photodecomposition when exposed to light, producing nitrogen dioxide, oxygen, and water.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-9bfc829880d6e09b27bbce6c27553e3d", "__created_at__": 1752205395, "entity_name": "Nitrogen Dioxide (NO₂)", "content": "Nitrogen Dioxide (NO₂)\nA reddish-brown toxic gas produced as a byproduct in nitric acid decomposition and iron oxide reactions.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-6cfdf8f6e49825c6a29801160101d05d", "__created_at__": 1752205395, "entity_name": "Oxygen (O₂)", "content": "Oxygen (O₂)\nA diatomic gas produced in nitric acid decomposition and consumed in hydrogen combustion.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-dc04d2ac5f1a04f73e997d762be4224c", "__created_at__": 1752205395, "entity_name": "Water (H₂O)", "content": "Water (H₂O)\nA compound formed in both nitric acid decomposition and hydrogen-oxygen combustion.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-96a5c5c81fe10bcec1f8579e9050bf08", "__created_at__": 1752205395, "entity_name": "Iron Oxide (FeO)", "content": "Iron Oxide (FeO)\nA chemical compound that reacts with nitric acid to form iron nitrate, water, and nitrogen dioxide.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-85ae1d900c7100d7017a352dff3febba", "__created_at__": 1752205395, "entity_name": "Iron Nitrate (Fe(NO₃)₃)", "content": "Iron Nitrate (Fe(NO₃)₃)\nA product formed when iron oxide reacts with nitric acid under heat.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-b5618f1ba278a2bae96fc553393d859f", "__created_at__": 1752205395, "entity_name": "Hydrogen (H₂)", "content": "Hydrogen (H₂)\nA flammable gas that combusts with oxygen to form water.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-a211a0a02c95d55eecea6e96ec63938b", "__created_at__": 1752205395, "entity_name": "Combustion Reaction", "content": "Combustion Reaction\nThe chemical process where hydrogen reacts with oxygen to produce water.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-acfe2ed2a788e873bfbf07a45e79d4d8", "__created_at__": 1752205395, "entity_name": "Photodecomposition", "content": "Photodecomposition\nThe chemical decomposition of nitric acid under light exposure.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "ent-b535db2f4374c14375eb83519c3b1568", "__created_at__": 1752205395, "entity_name": "Chemical Equation", "content": "Chemical Equation\nThe symbolic representation of chemical reactions described in the text.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}], "matrix": 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"} \ No newline at end of file diff --git a/dsLightRag/Topic/Chemistry/vdb_relationships.json b/dsLightRag/Topic/Chemistry/vdb_relationships.json index b322875c..4abbba00 100644 --- a/dsLightRag/Topic/Chemistry/vdb_relationships.json +++ b/dsLightRag/Topic/Chemistry/vdb_relationships.json @@ -1 +1 @@ -{"embedding_dim": 1024, "data": [{"__id__": "rel-19fc003f86fe0ab223780b80bb3cbdcb", "__created_at__": 1752194223, "src_id": "Iron Oxide", "tgt_id": "Nitric Acid", "content": "Iron Oxide\tNitric Acid\nacid-base,chemical reaction,heating\nIron Oxide reacts with Nitric Acid under heating to produce iron nitrate, water, and nitrogen dioxide.Nitric Acid reacts with Iron Oxide under heating to produce iron nitrate, water, and nitrogen dioxide.", "source_id": "chunk-e4dee9f72e6c899fd70a04b77c38d8d0", "file_path": "unknown_source"}, {"__id__": "rel-40ca1814ff3034c4057137e8874eb6f1", "__created_at__": 1752194223, "src_id": "Hydrogen", "tgt_id": "Oxygen", "content": "Hydrogen\tOxygen\nchemical reaction,combustion\nHydrogen and Oxygen react through combustion to produce water.", "source_id": "chunk-e4dee9f72e6c899fd70a04b77c38d8d0", "file_path": "unknown_source"}, {"__id__": "rel-8e745f57c7aa42cf13ea68c4434073c3", "__created_at__": 1752194223, "src_id": "Nitric Acid", "tgt_id": "Water", "content": "Nitric Acid\tWater\nchemical reaction,photodecomposition\nNitric Acid decomposes under light to produce nitrogen dioxide, oxygen, and water.", "source_id": "chunk-e4dee9f72e6c899fd70a04b77c38d8d0", "file_path": "unknown_source"}, {"__id__": "rel-92f28c2a274b73df2ec4767c30b4bb8d", "__created_at__": 1752194223, "src_id": "Nitric Acid", "tgt_id": "Photodecomposition", "content": "Nitric Acid\tPhotodecomposition\nchemical reaction,light-induced\nNitric Acid undergoes photodecomposition when exposed to light, breaking down into nitrogen dioxide, oxygen, and water.", "source_id": "chunk-e4dee9f72e6c899fd70a04b77c38d8d0", "file_path": "unknown_source"}, {"__id__": "rel-2ff952e23e9ad334f9244237bc7d6049", "__created_at__": 1752194223, "src_id": "Nitric Acid", "tgt_id": "Nitrogen Dioxide", "content": "Nitric Acid\tNitrogen Dioxide\ndecomposition product,gas formation\nNitric Acid produces Nitrogen Dioxide as one of the main products during its photodecomposition.", "source_id": "chunk-e4dee9f72e6c899fd70a04b77c38d8d0", "file_path": "unknown_source"}, {"__id__": "rel-f792fce23f42b2dafa0eaf5f34f201bd", "__created_at__": 1752194223, "src_id": "Iron Nitrate", "tgt_id": "Iron Oxide", "content": "Iron Nitrate\tIron Oxide\nchemical transformation,salt formation\nIron Oxide is transformed into Iron Nitrate when reacting with nitric acid under heating conditions.", "source_id": "chunk-e4dee9f72e6c899fd70a04b77c38d8d0", "file_path": "unknown_source"}, {"__id__": "rel-fd07581085b698bab24fb96f830ee452", "__created_at__": 1752194223, "src_id": "Combustion", "tgt_id": "Water", "content": "Combustion\tWater\ncompound formation,reaction product\nThe Combustion reaction between hydrogen and oxygen produces Water as its primary product.", "source_id": "chunk-e4dee9f72e6c899fd70a04b77c38d8d0", "file_path": "unknown_source"}, {"__id__": "rel-89c0c6f0194f50829cb8f8bb4beaf3e0", "__created_at__": 1752194223, "src_id": "Nitrogen Dioxide", "tgt_id": "Photodecomposition", "content": "Nitrogen Dioxide\tPhotodecomposition\ndecomposition,gas production\nPhotodecomposition of Nitric Acid yields Nitrogen Dioxide as one of its gaseous products.", "source_id": "chunk-e4dee9f72e6c899fd70a04b77c38d8d0", "file_path": "unknown_source"}], "matrix": 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"} \ No newline at end of file +{"embedding_dim": 1024, "data": [{"__id__": "rel-2ff952e23e9ad334f9244237bc7d6049", "__created_at__": 1752205396, "src_id": "Nitric Acid", "tgt_id": "Nitrogen Dioxide", "content": "Nitric Acid\tNitrogen Dioxide\nbyproducts,chemical decomposition\nNitric acid decomposes under light to produce nitrogen dioxide, oxygen, and water.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-19fc003f86fe0ab223780b80bb3cbdcb", "__created_at__": 1752205396, "src_id": "Iron Oxide", "tgt_id": "Nitric Acid", "content": "Iron Oxide\tNitric Acid\nchemical reaction,heat application\nIron oxide reacts with nitric acid under heat to produce iron nitrate, water, and nitrogen dioxide.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-40ca1814ff3034c4057137e8874eb6f1", "__created_at__": 1752205396, "src_id": "Hydrogen", "tgt_id": "Oxygen", "content": "Hydrogen\tOxygen\ncombustion reaction,synthesis\nHydrogen combusts with oxygen to form water.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-f792fce23f42b2dafa0eaf5f34f201bd", "__created_at__": 1752205396, "src_id": "Iron Nitrate", "tgt_id": "Iron Oxide", "content": "Iron Nitrate\tIron Oxide\nchemical transformation,product formation\nIron oxide is converted into iron nitrate through its reaction with nitric acid.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-47fe1858b6fbdf417be9b92a9736eeb4", "__created_at__": 1752205396, "src_id": "Nitric Acid (HNO₃)", "tgt_id": "Nitrogen Dioxide (NO₂)", "content": "Nitric Acid (HNO₃)\tNitrogen Dioxide (NO₂)\nbyproduct formation,chemical decomposition\nNitric acid decomposes to produce nitrogen dioxide as a primary byproduct.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-55c7bd6bf1abd82987a66ed0911a0373", "__created_at__": 1752205396, "src_id": "Nitric Acid (HNO₃)", "tgt_id": "Oxygen (O₂)", "content": "Nitric Acid (HNO₃)\tOxygen (O₂)\nchemical reaction,gas production\nNitric acid decomposition releases oxygen gas as a byproduct.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-c767a7c647eb0d8a47393529e9c64fea", "__created_at__": 1752205396, "src_id": "Nitric Acid (HNO₃)", "tgt_id": "Water (H₂O)", "content": "Nitric Acid (HNO₃)\tWater (H₂O)\nchemical byproduct,reaction output\nWater is produced as a byproduct of nitric acid decomposition.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-b362c25bf7d524a2a9d808743274fa5a", "__created_at__": 1752205396, "src_id": "Iron Oxide (FeO)", "tgt_id": "Nitric Acid (HNO₃)", "content": "Iron Oxide (FeO)\tNitric Acid (HNO₃)\nacid-base reaction,heat application\nIron oxide reacts with nitric acid under heat to produce various compounds.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-af6a6e6f9b3551aebe13982495213dbc", "__created_at__": 1752205396, "src_id": "Iron Nitrate (Fe(NO₃)₃)", "tgt_id": "Iron Oxide (FeO)", "content": "Iron Nitrate (Fe(NO₃)₃)\tIron Oxide (FeO)\nchemical transformation,product formation\nIron oxide is converted to iron nitrate through reaction with nitric acid.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-02a390dd6b5a7e8baa3e081ff7e3f69b", "__created_at__": 1752205396, "src_id": "Iron Oxide (FeO)", "tgt_id": "Nitrogen Dioxide (NO₂)", "content": "Iron Oxide (FeO)\tNitrogen Dioxide (NO₂)\nchemical reaction,gas production\nReaction between iron oxide and nitric acid produces nitrogen dioxide.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-87eb6eba5a3ed8b67324e25b8a9a15ad", "__created_at__": 1752205396, "src_id": "Hydrogen (H₂)", "tgt_id": "Oxygen (O₂)", "content": "Hydrogen (H₂)\tOxygen (O₂)\ncombustion,synthesis reaction\nHydrogen combusts with oxygen in a chemical reaction to produce water.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-d7aa7ec8dabe1da929e2ec9834fe468b", "__created_at__": 1752205396, "src_id": "Hydrogen (H₂)", "tgt_id": "Water (H₂O)", "content": "Hydrogen (H₂)\tWater (H₂O)\nchemical synthesis,product formation\nHydrogen is converted to water through combustion with oxygen.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-98cdcf9fc8cc76dcffea59e3b6fa9fcd", "__created_at__": 1752205396, "src_id": "Nitric Acid (HNO₃)", "tgt_id": "Photodecomposition", "content": "Nitric Acid (HNO₃)\tPhotodecomposition\nchemical process,decomposition\nPhotodecomposition is the process that breaks down nitric acid.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}, {"__id__": "rel-0999e3c0bf0328f082718582d8ac56d2", "__created_at__": 1752205396, "src_id": "Chemical Equation", "tgt_id": "Combustion Reaction", "content": "Chemical Equation\tCombustion Reaction\nchemical notation,symbolic representation\nThe combustion reaction is represented by a chemical equation.", "source_id": "chunk-d0c3bf985a3b3b903e2fb35515fdff1e", "file_path": "unknown_source"}], "matrix": 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"} \ No newline at end of file diff --git a/dsLightRag/Topic/JiHe/graph_chunk_entity_relation.graphml b/dsLightRag/Topic/JiHe/graph_chunk_entity_relation.graphml new file mode 100644 index 00000000..d231bd14 --- /dev/null +++ b/dsLightRag/Topic/JiHe/graph_chunk_entity_relation.graphml @@ -0,0 +1,169 @@ + + + + + + + + + + + + + + + + + Triangle ABC + geo + Triangle ABC is the geometric figure used to demonstrate the triangle inequality theorem. + chunk-a5e3dacee89618f913c4948b6ffe64ec + unknown_source + 1752209912 + + + Triangle Inequality + category + The triangle inequality theorem states that the sum of the lengths of any two sides of a triangle must be greater than the length of the remaining side. + chunk-a5e3dacee89618f913c4948b6ffe64ec + unknown_source + 1752209912 + + + Euclid's Fifth Postulate + category + Euclid's Fifth Postulate is a fundamental principle in geometry, used here to compare angles and sides in the proof. + chunk-a5e3dacee89618f913c4948b6ffe64ec + unknown_source + 1752209912 + + + Proposition 19 + category + Proposition 19 from Euclid's Elements states that in any triangle, the greater angle is subtended by the greater side. + chunk-a5e3dacee89618f913c4948b6ffe64ec + unknown_source + 1752209912 + + + 三角形ABC + geo + 三角形ABC is the specific triangle used to demonstrate the geometric proof of the triangle inequality theorem. + chunk-a5e3dacee89618f913c4948b6ffe64ec + unknown_source + 1752209912 + + + 三角不等式 + category + 三角不等式(Triangle Inequality) is a fundamental theorem in geometry stating that the sum of any two sides of a triangle must be greater than the third side. + chunk-a5e3dacee89618f913c4948b6ffe64ec + unknown_source + 1752209912 + + + 欧几里得第五公理 + category + 欧几里得第五公理(Euclid's Fifth Postulate) is a classical geometric principle used in this proof to compare angles. + chunk-a5e3dacee89618f913c4948b6ffe64ec + unknown_source + 1752209912 + + + 几何原本 + category + 几何原本(Elements of Geometry) is Euclid's foundational mathematical work containing Proposition 19, referenced in this proof. + chunk-a5e3dacee89618f913c4948b6ffe64ec + unknown_source + 1752209912 + + + 命题19 + category + 命题19 (Proposition 19) states that in any triangle, the greater angle is subtended by the greater side, used in this proof. + chunk-a5e3dacee89618f913c4948b6ffe64ec + unknown_source + 1752209912 + + + 点D + geo + 点D (Point D) is an auxiliary point constructed in the proof by extending side AB to create an isosceles triangle. + chunk-a5e3dacee89618f913c4948b6ffe64ec + unknown_source + 1752209912 + + + 等腰三角形BCD + geo + 等腰三角形BCD (Isosceles Triangle BCD) is formed in the proof construction, showing equal angles at its base. + chunk-a5e3dacee89618f913c4948b6ffe64ec + unknown_source + 1752209912 + + + 9.0 + Triangle ABC is used to demonstrate the triangle inequality theorem, showing the relationship between its sides. + geometric proof,inequality + chunk-a5e3dacee89618f913c4948b6ffe64ec + unknown_source + 1752209912 + + + 7.0 + Proposition 19 is applied to prove the triangle inequality by comparing angles and corresponding sides. + geometric logic,proof technique + chunk-a5e3dacee89618f913c4948b6ffe64ec + unknown_source + 1752209912 + + + 8.0 + Euclid's Fifth Postulate is used alongside Proposition 19 to establish the relationship between angles and sides in the proof. + angle-side relationship,geometric principles + chunk-a5e3dacee89618f913c4948b6ffe64ec + unknown_source + 1752209912 + + + 9.0 + The proof uses triangle ABC to demonstrate the triangle inequality theorem through geometric construction. + geometric proof,inequality demonstration + chunk-a5e3dacee89618f913c4948b6ffe64ec + unknown_source + 1752209912 + + + 7.0 + Point D is constructed from triangle ABC by extending side AB to create additional geometric relationships. + auxiliary point,geometric construction + chunk-a5e3dacee89618f913c4948b6ffe64ec + unknown_source + 1752209912 + + + 7.0 + The triangle inequality proof references Euclid's Elements (几何原本) as the source of foundational geometric propositions. + historical reference,mathematical foundation + chunk-a5e3dacee89618f913c4948b6ffe64ec + unknown_source + 1752209912 + + + 8.0 + Euclid's Fifth Postulate is used to establish angle comparisons that lead to the application of Proposition 19 in the proof. + geometric principles,logical progression + chunk-a5e3dacee89618f913c4948b6ffe64ec + unknown_source + 1752209912 + + + 8.0 + The isosceles triangle BCD's angle properties enable the application of Proposition 19 regarding angle-side relationships. + angle properties,proof technique + chunk-a5e3dacee89618f913c4948b6ffe64ec + unknown_source + 1752209912 + + + diff --git a/dsLightRag/Topic/JiHe/kv_store_doc_status.json b/dsLightRag/Topic/JiHe/kv_store_doc_status.json new file mode 100644 index 00000000..10b53545 --- /dev/null +++ b/dsLightRag/Topic/JiHe/kv_store_doc_status.json @@ -0,0 +1,12 @@ +{ + "doc-a5e3dacee89618f913c4948b6ffe64ec": { + "status": "processed", + "chunks_count": 1, + "content": "三角形三边关系的证明\n证明方法如下：\n作下图所示的三角形ABC。在三角形ABC中，[三角不等式](https://zhida.zhihu.com/search?content_id=248217850&content_type=Article&match_order=1&q=%E4%B8%89%E8%A7%92%E4%B8%8D%E7%AD%89%E5%BC%8F&zd_token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJ6aGlkYV9zZXJ2ZXIiLCJleHAiOjE3NTIzNzg0NDAsInEiOiLkuInop5LkuI3nrYnlvI8iLCJ6aGlkYV9zb3VyY2UiOiJlbnRpdHkiLCJjb250ZW50X2lkIjoyNDgyMTc4NTAsImNvbnRlbnRfdHlwZSI6IkFydGljbGUiLCJtYXRjaF9vcmRlciI6MSwiemRfdG9rZW4iOm51bGx9.rH6r8SvGmu-I9piEsmZfg2HjbXzUduYclZ2jfA3jZRs&zhida_source=entity)可以表示为|AB|+|BC|＞|AC|。\n![](./Images/7a1f3e68c9234e8d87deca2b32a13f20/media/image1.png)\nheight=\"2.8183694225721783in\"}\n①延长直线AB至点D，并使|BD|=|BC|，连接|DC|，那么三角形BCD为等腰三角形。所以∠BDC=∠BCD。\n②记它们均为α，根据[欧几里得第五公理](https://zhida.zhihu.com/search?content_id=248217850&content_type=Article&match_order=1&q=%E6%AC%A7%E5%87%A0%E9%87%8C%E5%BE%97%E7%AC%AC%E4%BA%94%E5%85%AC%E7%90%86&zd_token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJ6aGlkYV9zZXJ2ZXIiLCJleHAiOjE3NTIzNzg0NDAsInEiOiLmrKflh6Dph4zlvpfnrKzkupTlhaznkIYiLCJ6aGlkYV9zb3VyY2UiOiJlbnRpdHkiLCJjb250ZW50X2lkIjoyNDgyMTc4NTAsImNvbnRlbnRfdHlwZSI6IkFydGljbGUiLCJtYXRjaF9vcmRlciI6MSwiemRfdG9rZW4iOm51bGx9.ltcWsMYJv-ZzcuBaSjYN69JC8hnIyPMFsfhIlum4yqc&zhida_source=entity)，∠ACD大于角∠ADC(α)。\n③由于∠ACD的对边为AD，∠ADC(α)的对边为AC，所以根据大角对大边([几何原本](https://zhida.zhihu.com/search?content_id=248217850&content_type=Article&match_order=1&q=%E5%87%A0%E4%BD%95%E5%8E%9F%E6%9C%AC&zd_token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJ6aGlkYV9zZXJ2ZXIiLCJleHAiOjE3NTIzNzg0NDAsInEiOiLlh6DkvZXljp_mnKwiLCJ6aGlkYV9zb3VyY2UiOiJlbnRpdHkiLCJjb250ZW50X2lkIjoyNDgyMTc4NTAsImNvbnRlbnRfdHlwZSI6IkFydGljbGUiLCJtYXRjaF9vcmRlciI6MSwiemRfdG9rZW4iOm51bGx9.Q1rCY0S2bj5Dwp3Fg7xb_VSFESz2_pCUETDybnHANvo&zhida_source=entity)中的命题19)就可以得到|AB|+|BC|=|AB|+|BD|=|AD|＞|AC|。", + "content_summary": "三角形三边关系的证明\n证明方法如下：\n作下图所示的三角形ABC。在三角形ABC中，[三角不等式](https://zhida.zhihu.com/search?content_id=248217850&content_type=Article&match_order=1&q=%E4%B8%89%E8%A7%92%E4%B8%8D%E7%AD%89%E5%BC%8F&zd_token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJ6aGlkYV9z...", + "content_length": 1772, + "created_at": "2025-07-11T04:57:49.311633+00:00", + "updated_at": "2025-07-11T04:58:34.370868+00:00", + "file_path": "unknown_source" + } +} \ No newline at end of file diff --git a/dsLightRag/Topic/JiHe/kv_store_full_docs.json b/dsLightRag/Topic/JiHe/kv_store_full_docs.json new file mode 100644 index 00000000..ab93253f --- /dev/null +++ b/dsLightRag/Topic/JiHe/kv_store_full_docs.json @@ -0,0 +1,5 @@ +{ + "doc-a5e3dacee89618f913c4948b6ffe64ec": { + "content": "三角形三边关系的证明\n证明方法如下：\n作下图所示的三角形ABC。在三角形ABC中，[三角不等式](https://zhida.zhihu.com/search?content_id=248217850&content_type=Article&match_order=1&q=%E4%B8%89%E8%A7%92%E4%B8%8D%E7%AD%89%E5%BC%8F&zd_token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJ6aGlkYV9zZXJ2ZXIiLCJleHAiOjE3NTIzNzg0NDAsInEiOiLkuInop5LkuI3nrYnlvI8iLCJ6aGlkYV9zb3VyY2UiOiJlbnRpdHkiLCJjb250ZW50X2lkIjoyNDgyMTc4NTAsImNvbnRlbnRfdHlwZSI6IkFydGljbGUiLCJtYXRjaF9vcmRlciI6MSwiemRfdG9rZW4iOm51bGx9.rH6r8SvGmu-I9piEsmZfg2HjbXzUduYclZ2jfA3jZRs&zhida_source=entity)可以表示为|AB|+|BC|＞|AC|。\n![](./Images/7a1f3e68c9234e8d87deca2b32a13f20/media/image1.png)\nheight=\"2.8183694225721783in\"}\n①延长直线AB至点D，并使|BD|=|BC|，连接|DC|，那么三角形BCD为等腰三角形。所以∠BDC=∠BCD。\n②记它们均为α，根据[欧几里得第五公理](https://zhida.zhihu.com/search?content_id=248217850&content_type=Article&match_order=1&q=%E6%AC%A7%E5%87%A0%E9%87%8C%E5%BE%97%E7%AC%AC%E4%BA%94%E5%85%AC%E7%90%86&zd_token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJ6aGlkYV9zZXJ2ZXIiLCJleHAiOjE3NTIzNzg0NDAsInEiOiLmrKflh6Dph4zlvpfnrKzkupTlhaznkIYiLCJ6aGlkYV9zb3VyY2UiOiJlbnRpdHkiLCJjb250ZW50X2lkIjoyNDgyMTc4NTAsImNvbnRlbnRfdHlwZSI6IkFydGljbGUiLCJtYXRjaF9vcmRlciI6MSwiemRfdG9rZW4iOm51bGx9.ltcWsMYJv-ZzcuBaSjYN69JC8hnIyPMFsfhIlum4yqc&zhida_source=entity)，∠ACD大于角∠ADC(α)。\n③由于∠ACD的对边为AD，∠ADC(α)的对边为AC，所以根据大角对大边([几何原本](https://zhida.zhihu.com/search?content_id=248217850&content_type=Article&match_order=1&q=%E5%87%A0%E4%BD%95%E5%8E%9F%E6%9C%AC&zd_token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJ6aGlkYV9zZXJ2ZXIiLCJleHAiOjE3NTIzNzg0NDAsInEiOiLlh6DkvZXljp_mnKwiLCJ6aGlkYV9zb3VyY2UiOiJlbnRpdHkiLCJjb250ZW50X2lkIjoyNDgyMTc4NTAsImNvbnRlbnRfdHlwZSI6IkFydGljbGUiLCJtYXRjaF9vcmRlciI6MSwiemRfdG9rZW4iOm51bGx9.Q1rCY0S2bj5Dwp3Fg7xb_VSFESz2_pCUETDybnHANvo&zhida_source=entity)中的命题19)就可以得到|AB|+|BC|=|AB|+|BD|=|AD|＞|AC|。" + } +} \ No newline at end of file diff --git a/dsLightRag/Topic/JiHe/kv_store_llm_response_cache.json b/dsLightRag/Topic/JiHe/kv_store_llm_response_cache.json new file mode 100644 index 00000000..0cfaa85c --- /dev/null +++ b/dsLightRag/Topic/JiHe/kv_store_llm_response_cache.json @@ -0,0 +1,36 @@ +{ + "default": { + "072b54ce570935e68aaaf44943207fde": { + "return": "(\"entity\"<|>\"Triangle ABC\"<|>\"geo\"<|>\"Triangle ABC is the geometric figure used to demonstrate the triangle inequality theorem.\")##\n(\"entity\"<|>\"Triangle Inequality\"<|>\"category\"<|>\"The triangle inequality theorem states that the sum of the lengths of any two sides of a triangle must be greater than the length of the remaining side.\")##\n(\"entity\"<|>\"Euclid's Fifth Postulate\"<|>\"category\"<|>\"Euclid's Fifth Postulate is a fundamental principle in geometry, used here to compare angles and sides in the proof.\")##\n(\"entity\"<|>\"Proposition 19\"<|>\"category\"<|>\"Proposition 19 from Euclid's Elements states that in any triangle, the greater angle is subtended by the greater side.\")##\n(\"relationship\"<|>\"Triangle ABC\"<|>\"Triangle Inequality\"<|>\"Triangle ABC is used to demonstrate the triangle inequality theorem, showing the relationship between its sides.\"<|>\"geometric proof, inequality\"<|>9)##\n(\"relationship\"<|>\"Euclid's Fifth Postulate\"<|>\"Proposition 19\"<|>\"Euclid's Fifth Postulate is used alongside Proposition 19 to establish the relationship between angles and sides in the proof.\"<|>\"geometric principles, angle-side relationship\"<|>8)##\n(\"relationship\"<|>\"Triangle Inequality\"<|>\"Proposition 19\"<|>\"Proposition 19 is applied to prove the triangle inequality by comparing angles and corresponding sides.\"<|>\"proof technique, geometric logic\"<|>7)##\n(\"content_keywords\"<|>\"geometry, triangle inequality, Euclid's Elements, proof, angles and sides\")<|COMPLETE|>", + "cache_type": "extract", + "chunk_id": "chunk-a5e3dacee89618f913c4948b6ffe64ec", + "embedding": null, + "embedding_shape": null, + "embedding_min": null, + "embedding_max": null, + "original_prompt": "---Goal---\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\nUse English as output language.\n\n---Steps---\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, use same language as input text. If English, capitalized the name.\n- entity_type: One of the following types: [organization,person,geo,event,category]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><|><|>)\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n- relationship_keywords: one or more high-level key words that summarize the overarching nature of the relationship, focusing on concepts or themes rather than specific details\nFormat each relationship as (\"relationship\"<|><|><|><|><|>)\n\n3. Identify high-level key words that summarize the main concepts, themes, or topics of the entire text. These should capture the overarching ideas present in the document.\nFormat the content-level key words as (\"content_keywords\"<|>)\n\n4. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n5. When finished, output <|COMPLETE|>\n\n######################\n---Examples---\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\n```\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \"If this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\"\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n```\n\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>\"power dynamics, perspective shift\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>\"shared goals, rebellion\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>\"conflict resolution, mutual respect\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>\"ideological conflict, rebellion\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>\"reverence, technological significance\"<|>9)##\n(\"content_keywords\"<|>\"power dynamics, ideological conflict, discovery, rebellion\")<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [company, index, commodity, market_trend, economic_policy, biological]\nText:\n```\nStock markets faced a sharp downturn today as tech giants saw significant declines, with the Global Tech Index dropping by 3.4% in midday trading. Analysts attribute the selloff to investor concerns over rising interest rates and regulatory uncertainty.\n\nAmong the hardest hit, Nexon Technologies saw its stock plummet by 7.8% after reporting lower-than-expected quarterly earnings. In contrast, Omega Energy posted a modest 2.1% gain, driven by rising oil prices.\n\nMeanwhile, commodity markets reflected a mixed sentiment. Gold futures rose by 1.5%, reaching $2,080 per ounce, as investors sought safe-haven assets. Crude oil prices continued their rally, climbing to $87.60 per barrel, supported by supply constraints and strong demand.\n\nFinancial experts are closely watching the Federal Reserve's next move, as speculation grows over potential rate hikes. The upcoming policy announcement is expected to influence investor confidence and overall market stability.\n```\n\nOutput:\n(\"entity\"<|>\"Global Tech Index\"<|>\"index\"<|>\"The Global Tech Index tracks the performance of major technology stocks and experienced a 3.4% decline today.\")##\n(\"entity\"<|>\"Nexon Technologies\"<|>\"company\"<|>\"Nexon Technologies is a tech company that saw its stock decline by 7.8% after disappointing earnings.\")##\n(\"entity\"<|>\"Omega Energy\"<|>\"company\"<|>\"Omega Energy is an energy company that gained 2.1% in stock value due to rising oil prices.\")##\n(\"entity\"<|>\"Gold Futures\"<|>\"commodity\"<|>\"Gold futures rose by 1.5%, indicating increased investor interest in safe-haven assets.\")##\n(\"entity\"<|>\"Crude Oil\"<|>\"commodity\"<|>\"Crude oil prices rose to $87.60 per barrel due to supply constraints and strong demand.\")##\n(\"entity\"<|>\"Market Selloff\"<|>\"market_trend\"<|>\"Market selloff refers to the significant decline in stock values due to investor concerns over interest rates and regulations.\")##\n(\"entity\"<|>\"Federal Reserve Policy Announcement\"<|>\"economic_policy\"<|>\"The Federal Reserve's upcoming policy announcement is expected to impact investor confidence and market stability.\")##\n(\"relationship\"<|>\"Global Tech Index\"<|>\"Market Selloff\"<|>\"The decline in the Global Tech Index is part of the broader market selloff driven by investor concerns.\"<|>\"market performance, investor sentiment\"<|>9)##\n(\"relationship\"<|>\"Nexon Technologies\"<|>\"Global Tech Index\"<|>\"Nexon Technologies' stock decline contributed to the overall drop in the Global Tech Index.\"<|>\"company impact, index movement\"<|>8)##\n(\"relationship\"<|>\"Gold Futures\"<|>\"Market Selloff\"<|>\"Gold prices rose as investors sought safe-haven assets during the market selloff.\"<|>\"market reaction, safe-haven investment\"<|>10)##\n(\"relationship\"<|>\"Federal Reserve Policy Announcement\"<|>\"Market Selloff\"<|>\"Speculation over Federal Reserve policy changes contributed to market volatility and investor selloff.\"<|>\"interest rate impact, financial regulation\"<|>7)##\n(\"content_keywords\"<|>\"market downturn, investor sentiment, commodities, Federal Reserve, stock performance\")<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [economic_policy, athlete, event, location, record, organization, equipment]\nText:\n```\nAt the World Athletics Championship in Tokyo, Noah Carter broke the 100m sprint record using cutting-edge carbon-fiber spikes.\n```\n\nOutput:\n(\"entity\"<|>\"World Athletics Championship\"<|>\"event\"<|>\"The World Athletics Championship is a global sports competition featuring top athletes in track and field.\")##\n(\"entity\"<|>\"Tokyo\"<|>\"location\"<|>\"Tokyo is the host city of the World Athletics Championship.\")##\n(\"entity\"<|>\"Noah Carter\"<|>\"athlete\"<|>\"Noah Carter is a sprinter who set a new record in the 100m sprint at the World Athletics Championship.\")##\n(\"entity\"<|>\"100m Sprint Record\"<|>\"record\"<|>\"The 100m sprint record is a benchmark in athletics, recently broken by Noah Carter.\")##\n(\"entity\"<|>\"Carbon-Fiber Spikes\"<|>\"equipment\"<|>\"Carbon-fiber spikes are advanced sprinting shoes that provide enhanced speed and traction.\")##\n(\"entity\"<|>\"World Athletics Federation\"<|>\"organization\"<|>\"The World Athletics Federation is the governing body overseeing the World Athletics Championship and record validations.\")##\n(\"relationship\"<|>\"World Athletics Championship\"<|>\"Tokyo\"<|>\"The World Athletics Championship is being hosted in Tokyo.\"<|>\"event location, international competition\"<|>8)##\n(\"relationship\"<|>\"Noah Carter\"<|>\"100m Sprint Record\"<|>\"Noah Carter set a new 100m sprint record at the championship.\"<|>\"athlete achievement, record-breaking\"<|>10)##\n(\"relationship\"<|>\"Noah Carter\"<|>\"Carbon-Fiber Spikes\"<|>\"Noah Carter used carbon-fiber spikes to enhance performance during the race.\"<|>\"athletic equipment, performance boost\"<|>7)##\n(\"relationship\"<|>\"World Athletics Federation\"<|>\"100m Sprint Record\"<|>\"The World Athletics Federation is responsible for validating and recognizing new sprint records.\"<|>\"sports regulation, record certification\"<|>9)##\n(\"content_keywords\"<|>\"athletics, sprinting, record-breaking, sports technology, competition\")<|COMPLETE|>\n#############################\n\n#############################\n---Real Data---\n######################\nEntity_types: [organization,person,geo,event,category]\nText:\n三角形三边关系的证明\n证明方法如下：\n作下图所示的三角形ABC。在三角形ABC中，[三角不等式](https://zhida.zhihu.com/search?content_id=248217850&content_type=Article&match_order=1&q=%E4%B8%89%E8%A7%92%E4%B8%8D%E7%AD%89%E5%BC%8F&zd_token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJ6aGlkYV9zZXJ2ZXIiLCJleHAiOjE3NTIzNzg0NDAsInEiOiLkuInop5LkuI3nrYnlvI8iLCJ6aGlkYV9zb3VyY2UiOiJlbnRpdHkiLCJjb250ZW50X2lkIjoyNDgyMTc4NTAsImNvbnRlbnRfdHlwZSI6IkFydGljbGUiLCJtYXRjaF9vcmRlciI6MSwiemRfdG9rZW4iOm51bGx9.rH6r8SvGmu-I9piEsmZfg2HjbXzUduYclZ2jfA3jZRs&zhida_source=entity)可以表示为|AB|+|BC|＞|AC|。\n![](./Images/7a1f3e68c9234e8d87deca2b32a13f20/media/image1.png)\nheight=\"2.8183694225721783in\"}\n①延长直线AB至点D，并使|BD|=|BC|，连接|DC|，那么三角形BCD为等腰三角形。所以∠BDC=∠BCD。\n②记它们均为α，根据[欧几里得第五公理](https://zhida.zhihu.com/search?content_id=248217850&content_type=Article&match_order=1&q=%E6%AC%A7%E5%87%A0%E9%87%8C%E5%BE%97%E7%AC%AC%E4%BA%94%E5%85%AC%E7%90%86&zd_token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJ6aGlkYV9zZXJ2ZXIiLCJleHAiOjE3NTIzNzg0NDAsInEiOiLmrKflh6Dph4zlvpfnrKzkupTlhaznkIYiLCJ6aGlkYV9zb3VyY2UiOiJlbnRpdHkiLCJjb250ZW50X2lkIjoyNDgyMTc4NTAsImNvbnRlbnRfdHlwZSI6IkFydGljbGUiLCJtYXRjaF9vcmRlciI6MSwiemRfdG9rZW4iOm51bGx9.ltcWsMYJv-ZzcuBaSjYN69JC8hnIyPMFsfhIlum4yqc&zhida_source=entity)，∠ACD大于角∠ADC(α)。\n③由于∠ACD的对边为AD，∠ADC(α)的对边为AC，所以根据大角对大边([几何原本](https://zhida.zhihu.com/search?content_id=248217850&content_type=Article&match_order=1&q=%E5%87%A0%E4%BD%95%E5%8E%9F%E6%9C%AC&zd_token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJ6aGlkYV9zZXJ2ZXIiLCJleHAiOjE3NTIzNzg0NDAsInEiOiLlh6DkvZXljp_mnKwiLCJ6aGlkYV9zb3VyY2UiOiJlbnRpdHkiLCJjb250ZW50X2lkIjoyNDgyMTc4NTAsImNvbnRlbnRfdHlwZSI6IkFydGljbGUiLCJtYXRjaF9vcmRlciI6MSwiemRfdG9rZW4iOm51bGx9.Q1rCY0S2bj5Dwp3Fg7xb_VSFESz2_pCUETDybnHANvo&zhida_source=entity)中的命题19)就可以得到|AB|+|BC|=|AB|+|BD|=|AD|＞|AC|。\n######################\nOutput:" + }, + "2e675f48b286783837db3691b44f16d1": { + "return": "(\"entity\"<|>\"三角形ABC\"<|>\"geo\"<|>\"三角形ABC is the specific triangle used to demonstrate the geometric proof of the triangle inequality theorem.\")##\n(\"entity\"<|>\"三角不等式\"<|>\"category\"<|>\"三角不等式 (Triangle Inequality) is a fundamental theorem in geometry stating that the sum of any two sides of a triangle must be greater than the third side.\")##\n(\"entity\"<|>\"欧几里得第五公理\"<|>\"category\"<|>\"欧几里得第五公理 (Euclid's Fifth Postulate) is a classical geometric principle used in this proof to compare angles.\")##\n(\"entity\"<|>\"几何原本\"<|>\"category\"<|>\"几何原本 (Elements of Geometry) is Euclid's foundational mathematical work containing Proposition 19, referenced in this proof.\")##\n(\"entity\"<|>\"命题19\"<|>\"category\"<|>\"命题19 (Proposition 19) states that in any triangle, the greater angle is subtended by the greater side, used in this proof.\")##\n(\"entity\"<|>\"点D\"<|>\"geo\"<|>\"点D (Point D) is an auxiliary point constructed in the proof by extending side AB to create an isosceles triangle.\")##\n(\"entity\"<|>\"等腰三角形BCD\"<|>\"geo\"<|>\"等腰三角形BCD (Isosceles Triangle BCD) is formed in the proof construction, showing equal angles at its base.\")##\n(\"relationship\"<|>\"三角形ABC\"<|>\"三角不等式\"<|>\"The proof uses triangle ABC to demonstrate the triangle inequality theorem through geometric construction.\"<|>\"geometric proof, inequality demonstration\"<|>9)##\n(\"relationship\"<|>\"欧几里得第五公理\"<|>\"命题19\"<|>\"Euclid's Fifth Postulate is used to establish angle comparisons that lead to the application of Proposition 19 in the proof.\"<|>\"geometric principles, logical progression\"<|>8)##\n(\"relationship\"<|>\"三角形ABC\"<|>\"点D\"<|>\"Point D is constructed from triangle ABC by extending side AB to create additional geometric relationships.\"<|>\"geometric construction, auxiliary point\"<|>7)##\n(\"relationship\"<|>\"等腰三角形BCD\"<|>\"命题19\"<|>\"The isosceles triangle BCD's angle properties enable the application of Proposition 19 regarding angle-side relationships.\"<|>\"angle properties, proof technique\"<|>8)##\n(\"relationship\"<|>\"三角不等式\"<|>\"几何原本\"<|>\"The triangle inequality proof references Euclid's Elements (几何原本) as the source of foundational geometric propositions.\"<|>\"historical reference, mathematical foundation\"<|>7)##\n(\"content_keywords\"<|>\"geometry, triangle inequality, Euclidean geometry, proof techniques, angle-side relationships\")<|COMPLETE|>", + "cache_type": "extract", + "chunk_id": "chunk-a5e3dacee89618f913c4948b6ffe64ec", + "embedding": null, + "embedding_shape": null, + "embedding_min": null, + "embedding_max": null, + "original_prompt": "[{\"role\": \"user\", \"content\": \"---Goal---\\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\\nUse English as output language.\\n\\n---Steps---\\n1. Identify all entities. For each identified entity, extract the following information:\\n- entity_name: Name of the entity, use same language as input text. If English, capitalized the name.\\n- entity_type: One of the following types: [organization,person,geo,event,category]\\n- entity_description: Comprehensive description of the entity's attributes and activities\\nFormat each entity as (\\\"entity\\\"<|><|><|>)\\n\\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\\nFor each pair of related entities, extract the following information:\\n- source_entity: name of the source entity, as identified in step 1\\n- target_entity: name of the target entity, as identified in step 1\\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\\n- relationship_keywords: one or more high-level key words that summarize the overarching nature of the relationship, focusing on concepts or themes rather than specific details\\nFormat each relationship as (\\\"relationship\\\"<|><|><|><|><|>)\\n\\n3. Identify high-level key words that summarize the main concepts, themes, or topics of the entire text. These should capture the overarching ideas present in the document.\\nFormat the content-level key words as (\\\"content_keywords\\\"<|>)\\n\\n4. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\\n\\n5. When finished, output <|COMPLETE|>\\n\\n######################\\n---Examples---\\n######################\\nExample 1:\\n\\nEntity_types: [person, technology, mission, organization, location]\\nText:\\n```\\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\\n\\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \\\"If this tech can be understood...\\\" Taylor said, their voice quieter, \\\"It could change the game for us. For all of us.\\\"\\n\\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\\n\\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\\n```\\n\\nOutput:\\n(\\\"entity\\\"<|>\\\"Alex\\\"<|>\\\"person\\\"<|>\\\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\\\")##\\n(\\\"entity\\\"<|>\\\"Taylor\\\"<|>\\\"person\\\"<|>\\\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\\\")##\\n(\\\"entity\\\"<|>\\\"Jordan\\\"<|>\\\"person\\\"<|>\\\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\\\")##\\n(\\\"entity\\\"<|>\\\"Cruz\\\"<|>\\\"person\\\"<|>\\\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\\\")##\\n(\\\"entity\\\"<|>\\\"The Device\\\"<|>\\\"technology\\\"<|>\\\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\\\")##\\n(\\\"relationship\\\"<|>\\\"Alex\\\"<|>\\\"Taylor\\\"<|>\\\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\\\"<|>\\\"power dynamics, perspective shift\\\"<|>7)##\\n(\\\"relationship\\\"<|>\\\"Alex\\\"<|>\\\"Jordan\\\"<|>\\\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\\\"<|>\\\"shared goals, rebellion\\\"<|>6)##\\n(\\\"relationship\\\"<|>\\\"Taylor\\\"<|>\\\"Jordan\\\"<|>\\\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\\\"<|>\\\"conflict resolution, mutual respect\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Jordan\\\"<|>\\\"Cruz\\\"<|>\\\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\\\"<|>\\\"ideological conflict, rebellion\\\"<|>5)##\\n(\\\"relationship\\\"<|>\\\"Taylor\\\"<|>\\\"The Device\\\"<|>\\\"Taylor shows reverence towards the device, indicating its importance and potential impact.\\\"<|>\\\"reverence, technological significance\\\"<|>9)##\\n(\\\"content_keywords\\\"<|>\\\"power dynamics, ideological conflict, discovery, rebellion\\\")<|COMPLETE|>\\n#############################\\nExample 2:\\n\\nEntity_types: [company, index, commodity, market_trend, economic_policy, biological]\\nText:\\n```\\nStock markets faced a sharp downturn today as tech giants saw significant declines, with the Global Tech Index dropping by 3.4% in midday trading. Analysts attribute the selloff to investor concerns over rising interest rates and regulatory uncertainty.\\n\\nAmong the hardest hit, Nexon Technologies saw its stock plummet by 7.8% after reporting lower-than-expected quarterly earnings. In contrast, Omega Energy posted a modest 2.1% gain, driven by rising oil prices.\\n\\nMeanwhile, commodity markets reflected a mixed sentiment. Gold futures rose by 1.5%, reaching $2,080 per ounce, as investors sought safe-haven assets. Crude oil prices continued their rally, climbing to $87.60 per barrel, supported by supply constraints and strong demand.\\n\\nFinancial experts are closely watching the Federal Reserve's next move, as speculation grows over potential rate hikes. The upcoming policy announcement is expected to influence investor confidence and overall market stability.\\n```\\n\\nOutput:\\n(\\\"entity\\\"<|>\\\"Global Tech Index\\\"<|>\\\"index\\\"<|>\\\"The Global Tech Index tracks the performance of major technology stocks and experienced a 3.4% decline today.\\\")##\\n(\\\"entity\\\"<|>\\\"Nexon Technologies\\\"<|>\\\"company\\\"<|>\\\"Nexon Technologies is a tech company that saw its stock decline by 7.8% after disappointing earnings.\\\")##\\n(\\\"entity\\\"<|>\\\"Omega Energy\\\"<|>\\\"company\\\"<|>\\\"Omega Energy is an energy company that gained 2.1% in stock value due to rising oil prices.\\\")##\\n(\\\"entity\\\"<|>\\\"Gold Futures\\\"<|>\\\"commodity\\\"<|>\\\"Gold futures rose by 1.5%, indicating increased investor interest in safe-haven assets.\\\")##\\n(\\\"entity\\\"<|>\\\"Crude Oil\\\"<|>\\\"commodity\\\"<|>\\\"Crude oil prices rose to $87.60 per barrel due to supply constraints and strong demand.\\\")##\\n(\\\"entity\\\"<|>\\\"Market Selloff\\\"<|>\\\"market_trend\\\"<|>\\\"Market selloff refers to the significant decline in stock values due to investor concerns over interest rates and regulations.\\\")##\\n(\\\"entity\\\"<|>\\\"Federal Reserve Policy Announcement\\\"<|>\\\"economic_policy\\\"<|>\\\"The Federal Reserve's upcoming policy announcement is expected to impact investor confidence and market stability.\\\")##\\n(\\\"relationship\\\"<|>\\\"Global Tech Index\\\"<|>\\\"Market Selloff\\\"<|>\\\"The decline in the Global Tech Index is part of the broader market selloff driven by investor concerns.\\\"<|>\\\"market performance, investor sentiment\\\"<|>9)##\\n(\\\"relationship\\\"<|>\\\"Nexon Technologies\\\"<|>\\\"Global Tech Index\\\"<|>\\\"Nexon Technologies' stock decline contributed to the overall drop in the Global Tech Index.\\\"<|>\\\"company impact, index movement\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Gold Futures\\\"<|>\\\"Market Selloff\\\"<|>\\\"Gold prices rose as investors sought safe-haven assets during the market selloff.\\\"<|>\\\"market reaction, safe-haven investment\\\"<|>10)##\\n(\\\"relationship\\\"<|>\\\"Federal Reserve Policy Announcement\\\"<|>\\\"Market Selloff\\\"<|>\\\"Speculation over Federal Reserve policy changes contributed to market volatility and investor selloff.\\\"<|>\\\"interest rate impact, financial regulation\\\"<|>7)##\\n(\\\"content_keywords\\\"<|>\\\"market downturn, investor sentiment, commodities, Federal Reserve, stock performance\\\")<|COMPLETE|>\\n#############################\\nExample 3:\\n\\nEntity_types: [economic_policy, athlete, event, location, record, organization, equipment]\\nText:\\n```\\nAt the World Athletics Championship in Tokyo, Noah Carter broke the 100m sprint record using cutting-edge carbon-fiber spikes.\\n```\\n\\nOutput:\\n(\\\"entity\\\"<|>\\\"World Athletics Championship\\\"<|>\\\"event\\\"<|>\\\"The World Athletics Championship is a global sports competition featuring top athletes in track and field.\\\")##\\n(\\\"entity\\\"<|>\\\"Tokyo\\\"<|>\\\"location\\\"<|>\\\"Tokyo is the host city of the World Athletics Championship.\\\")##\\n(\\\"entity\\\"<|>\\\"Noah Carter\\\"<|>\\\"athlete\\\"<|>\\\"Noah Carter is a sprinter who set a new record in the 100m sprint at the World Athletics Championship.\\\")##\\n(\\\"entity\\\"<|>\\\"100m Sprint Record\\\"<|>\\\"record\\\"<|>\\\"The 100m sprint record is a benchmark in athletics, recently broken by Noah Carter.\\\")##\\n(\\\"entity\\\"<|>\\\"Carbon-Fiber Spikes\\\"<|>\\\"equipment\\\"<|>\\\"Carbon-fiber spikes are advanced sprinting shoes that provide enhanced speed and traction.\\\")##\\n(\\\"entity\\\"<|>\\\"World Athletics Federation\\\"<|>\\\"organization\\\"<|>\\\"The World Athletics Federation is the governing body overseeing the World Athletics Championship and record validations.\\\")##\\n(\\\"relationship\\\"<|>\\\"World Athletics Championship\\\"<|>\\\"Tokyo\\\"<|>\\\"The World Athletics Championship is being hosted in Tokyo.\\\"<|>\\\"event location, international competition\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Noah Carter\\\"<|>\\\"100m Sprint Record\\\"<|>\\\"Noah Carter set a new 100m sprint record at the championship.\\\"<|>\\\"athlete achievement, record-breaking\\\"<|>10)##\\n(\\\"relationship\\\"<|>\\\"Noah Carter\\\"<|>\\\"Carbon-Fiber Spikes\\\"<|>\\\"Noah Carter used carbon-fiber spikes to enhance performance during the race.\\\"<|>\\\"athletic equipment, performance boost\\\"<|>7)##\\n(\\\"relationship\\\"<|>\\\"World Athletics Federation\\\"<|>\\\"100m Sprint Record\\\"<|>\\\"The World Athletics Federation is responsible for validating and recognizing new sprint records.\\\"<|>\\\"sports regulation, record certification\\\"<|>9)##\\n(\\\"content_keywords\\\"<|>\\\"athletics, sprinting, record-breaking, sports technology, competition\\\")<|COMPLETE|>\\n#############################\\n\\n#############################\\n---Real Data---\\n######################\\nEntity_types: [organization,person,geo,event,category]\\nText:\\n三角形三边关系的证明\\n证明方法如下：\\n作下图所示的三角形ABC。在三角形ABC中，[三角不等式](https://zhida.zhihu.com/search?content_id=248217850&content_type=Article&match_order=1&q=%E4%B8%89%E8%A7%92%E4%B8%8D%E7%AD%89%E5%BC%8F&zd_token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJ6aGlkYV9zZXJ2ZXIiLCJleHAiOjE3NTIzNzg0NDAsInEiOiLkuInop5LkuI3nrYnlvI8iLCJ6aGlkYV9zb3VyY2UiOiJlbnRpdHkiLCJjb250ZW50X2lkIjoyNDgyMTc4NTAsImNvbnRlbnRfdHlwZSI6IkFydGljbGUiLCJtYXRjaF9vcmRlciI6MSwiemRfdG9rZW4iOm51bGx9.rH6r8SvGmu-I9piEsmZfg2HjbXzUduYclZ2jfA3jZRs&zhida_source=entity)可以表示为|AB|+|BC|＞|AC|。\\n![](./Images/7a1f3e68c9234e8d87deca2b32a13f20/media/image1.png)\\nheight=\\\"2.8183694225721783in\\\"}\\n①延长直线AB至点D，并使|BD|=|BC|，连接|DC|，那么三角形BCD为等腰三角形。所以∠BDC=∠BCD。\\n②记它们均为α，根据[欧几里得第五公理](https://zhida.zhihu.com/search?content_id=248217850&content_type=Article&match_order=1&q=%E6%AC%A7%E5%87%A0%E9%87%8C%E5%BE%97%E7%AC%AC%E4%BA%94%E5%85%AC%E7%90%86&zd_token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJ6aGlkYV9zZXJ2ZXIiLCJleHAiOjE3NTIzNzg0NDAsInEiOiLmrKflh6Dph4zlvpfnrKzkupTlhaznkIYiLCJ6aGlkYV9zb3VyY2UiOiJlbnRpdHkiLCJjb250ZW50X2lkIjoyNDgyMTc4NTAsImNvbnRlbnRfdHlwZSI6IkFydGljbGUiLCJtYXRjaF9vcmRlciI6MSwiemRfdG9rZW4iOm51bGx9.ltcWsMYJv-ZzcuBaSjYN69JC8hnIyPMFsfhIlum4yqc&zhida_source=entity)，∠ACD大于角∠ADC(α)。\\n③由于∠ACD的对边为AD，∠ADC(α)的对边为AC，所以根据大角对大边([几何原本](https://zhida.zhihu.com/search?content_id=248217850&content_type=Article&match_order=1&q=%E5%87%A0%E4%BD%95%E5%8E%9F%E6%9C%AC&zd_token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJ6aGlkYV9zZXJ2ZXIiLCJleHAiOjE3NTIzNzg0NDAsInEiOiLlh6DkvZXljp_mnKwiLCJ6aGlkYV9zb3VyY2UiOiJlbnRpdHkiLCJjb250ZW50X2lkIjoyNDgyMTc4NTAsImNvbnRlbnRfdHlwZSI6IkFydGljbGUiLCJtYXRjaF9vcmRlciI6MSwiemRfdG9rZW4iOm51bGx9.Q1rCY0S2bj5Dwp3Fg7xb_VSFESz2_pCUETDybnHANvo&zhida_source=entity)中的命题19)就可以得到|AB|+|BC|=|AB|+|BD|=|AD|＞|AC|。\\n######################\\nOutput:\"}, {\"role\": \"assistant\", \"content\": \"(\\\"entity\\\"<|>\\\"Triangle ABC\\\"<|>\\\"geo\\\"<|>\\\"Triangle ABC is the geometric figure used to demonstrate the triangle inequality theorem.\\\")##\\n(\\\"entity\\\"<|>\\\"Triangle Inequality\\\"<|>\\\"category\\\"<|>\\\"The triangle inequality theorem states that the sum of the lengths of any two sides of a triangle must be greater than the length of the remaining side.\\\")##\\n(\\\"entity\\\"<|>\\\"Euclid's Fifth Postulate\\\"<|>\\\"category\\\"<|>\\\"Euclid's Fifth Postulate is a fundamental principle in geometry, used here to compare angles and sides in the proof.\\\")##\\n(\\\"entity\\\"<|>\\\"Proposition 19\\\"<|>\\\"category\\\"<|>\\\"Proposition 19 from Euclid's Elements states that in any triangle, the greater angle is subtended by the greater side.\\\")##\\n(\\\"relationship\\\"<|>\\\"Triangle ABC\\\"<|>\\\"Triangle Inequality\\\"<|>\\\"Triangle ABC is used to demonstrate the triangle inequality theorem, showing the relationship between its sides.\\\"<|>\\\"geometric proof, inequality\\\"<|>9)##\\n(\\\"relationship\\\"<|>\\\"Euclid's Fifth Postulate\\\"<|>\\\"Proposition 19\\\"<|>\\\"Euclid's Fifth Postulate is used alongside Proposition 19 to establish the relationship between angles and sides in the proof.\\\"<|>\\\"geometric principles, angle-side relationship\\\"<|>8)##\\n(\\\"relationship\\\"<|>\\\"Triangle Inequality\\\"<|>\\\"Proposition 19\\\"<|>\\\"Proposition 19 is applied to prove the triangle inequality by comparing angles and corresponding sides.\\\"<|>\\\"proof technique, geometric logic\\\"<|>7)##\\n(\\\"content_keywords\\\"<|>\\\"geometry, triangle inequality, Euclid's Elements, proof, angles and sides\\\")<|COMPLETE|>\"}]\nMANY entities and relationships were missed in the last extraction.\n\n---Remember Steps---\n\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, use same language as input text. If English, capitalized the name.\n- entity_type: One of the following types: [organization,person,geo,event,category]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><|><|>)\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n- relationship_keywords: one or more high-level key words that summarize the overarching nature of the relationship, focusing on concepts or themes rather than specific details\nFormat each relationship as (\"relationship\"<|><|><|><|><|>)\n\n3. Identify high-level key words that summarize the main concepts, themes, or topics of the entire text. These should capture the overarching ideas present in the document.\nFormat the content-level key words as (\"content_keywords\"<|>)\n\n4. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n5. When finished, output <|COMPLETE|>\n\n---Output---\n\nAdd them below using the same format:" + } + }, + "hybrid": { + "e512955f204ab45619d21f9368b2d721": { + "return": "{\"high_level_keywords\": [\"\\u51e0\\u4f55\\u8bc1\\u660e\", \"\\u4e09\\u89d2\\u5f62\\u6027\\u8d28\", \"\\u6570\\u5b66\\u5b9a\\u7406\"], \"low_level_keywords\": [\"\\u4e24\\u8fb9\\u4e4b\\u548c\", \"\\u7b2c\\u4e09\\u8fb9\", \"\\u4e0d\\u7b49\\u5f0f\", \"\\u6b27\\u51e0\\u91cc\\u5f97\\u51e0\\u4f55\"]}", + "cache_type": "keywords", + "chunk_id": null, + "embedding": null, + "embedding_shape": null, + "embedding_min": null, + "embedding_max": null, + "original_prompt": "三角形两边之和大于第三边的证明" + } + } +} \ No newline at end of file diff --git a/dsLightRag/Topic/JiHe/kv_store_text_chunks.json b/dsLightRag/Topic/JiHe/kv_store_text_chunks.json new file mode 100644 index 00000000..0f97e531 --- /dev/null +++ b/dsLightRag/Topic/JiHe/kv_store_text_chunks.json @@ -0,0 +1,9 @@ +{ + "chunk-a5e3dacee89618f913c4948b6ffe64ec": { + "tokens": 1055, + "content": "三角形三边关系的证明\n证明方法如下：\n作下图所示的三角形ABC。在三角形ABC中，[三角不等式](https://zhida.zhihu.com/search?content_id=248217850&content_type=Article&match_order=1&q=%E4%B8%89%E8%A7%92%E4%B8%8D%E7%AD%89%E5%BC%8F&zd_token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJ6aGlkYV9zZXJ2ZXIiLCJleHAiOjE3NTIzNzg0NDAsInEiOiLkuInop5LkuI3nrYnlvI8iLCJ6aGlkYV9zb3VyY2UiOiJlbnRpdHkiLCJjb250ZW50X2lkIjoyNDgyMTc4NTAsImNvbnRlbnRfdHlwZSI6IkFydGljbGUiLCJtYXRjaF9vcmRlciI6MSwiemRfdG9rZW4iOm51bGx9.rH6r8SvGmu-I9piEsmZfg2HjbXzUduYclZ2jfA3jZRs&zhida_source=entity)可以表示为|AB|+|BC|＞|AC|。\n![](./Images/7a1f3e68c9234e8d87deca2b32a13f20/media/image1.png)\nheight=\"2.8183694225721783in\"}\n①延长直线AB至点D，并使|BD|=|BC|，连接|DC|，那么三角形BCD为等腰三角形。所以∠BDC=∠BCD。\n②记它们均为α，根据[欧几里得第五公理](https://zhida.zhihu.com/search?content_id=248217850&content_type=Article&match_order=1&q=%E6%AC%A7%E5%87%A0%E9%87%8C%E5%BE%97%E7%AC%AC%E4%BA%94%E5%85%AC%E7%90%86&zd_token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJ6aGlkYV9zZXJ2ZXIiLCJleHAiOjE3NTIzNzg0NDAsInEiOiLmrKflh6Dph4zlvpfnrKzkupTlhaznkIYiLCJ6aGlkYV9zb3VyY2UiOiJlbnRpdHkiLCJjb250ZW50X2lkIjoyNDgyMTc4NTAsImNvbnRlbnRfdHlwZSI6IkFydGljbGUiLCJtYXRjaF9vcmRlciI6MSwiemRfdG9rZW4iOm51bGx9.ltcWsMYJv-ZzcuBaSjYN69JC8hnIyPMFsfhIlum4yqc&zhida_source=entity)，∠ACD大于角∠ADC(α)。\n③由于∠ACD的对边为AD，∠ADC(α)的对边为AC，所以根据大角对大边([几何原本](https://zhida.zhihu.com/search?content_id=248217850&content_type=Article&match_order=1&q=%E5%87%A0%E4%BD%95%E5%8E%9F%E6%9C%AC&zd_token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJ6aGlkYV9zZXJ2ZXIiLCJleHAiOjE3NTIzNzg0NDAsInEiOiLlh6DkvZXljp_mnKwiLCJ6aGlkYV9zb3VyY2UiOiJlbnRpdHkiLCJjb250ZW50X2lkIjoyNDgyMTc4NTAsImNvbnRlbnRfdHlwZSI6IkFydGljbGUiLCJtYXRjaF9vcmRlciI6MSwiemRfdG9rZW4iOm51bGx9.Q1rCY0S2bj5Dwp3Fg7xb_VSFESz2_pCUETDybnHANvo&zhida_source=entity)中的命题19)就可以得到|AB|+|BC|=|AB|+|BD|=|AD|＞|AC|。", + "chunk_order_index": 0, + "full_doc_id": "doc-a5e3dacee89618f913c4948b6ffe64ec", + "file_path": "unknown_source" + } +} \ No newline at end of file diff --git a/dsLightRag/Topic/JiHe/vdb_chunks.json b/dsLightRag/Topic/JiHe/vdb_chunks.json new file mode 100644 index 00000000..42a2d8ad --- /dev/null +++ b/dsLightRag/Topic/JiHe/vdb_chunks.json @@ -0,0 +1 @@ +{"embedding_dim": 1024, "data": [{"__id__": "chunk-a5e3dacee89618f913c4948b6ffe64ec", "__created_at__": 1752209869, "content": "三角形三边关系的证明\n证明方法如下：\n作下图所示的三角形ABC。在三角形ABC中，[三角不等式](https://zhida.zhihu.com/search?content_id=248217850&content_type=Article&match_order=1&q=%E4%B8%89%E8%A7%92%E4%B8%8D%E7%AD%89%E5%BC%8F&zd_token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJ6aGlkYV9zZXJ2ZXIiLCJleHAiOjE3NTIzNzg0NDAsInEiOiLkuInop5LkuI3nrYnlvI8iLCJ6aGlkYV9zb3VyY2UiOiJlbnRpdHkiLCJjb250ZW50X2lkIjoyNDgyMTc4NTAsImNvbnRlbnRfdHlwZSI6IkFydGljbGUiLCJtYXRjaF9vcmRlciI6MSwiemRfdG9rZW4iOm51bGx9.rH6r8SvGmu-I9piEsmZfg2HjbXzUduYclZ2jfA3jZRs&zhida_source=entity)可以表示为|AB|+|BC|＞|AC|。\n![](./Images/7a1f3e68c9234e8d87deca2b32a13f20/media/image1.png)\nheight=\"2.8183694225721783in\"}\n①延长直线AB至点D，并使|BD|=|BC|，连接|DC|，那么三角形BCD为等腰三角形。所以∠BDC=∠BCD。\n②记它们均为α，根据[欧几里得第五公理](https://zhida.zhihu.com/search?content_id=248217850&content_type=Article&match_order=1&q=%E6%AC%A7%E5%87%A0%E9%87%8C%E5%BE%97%E7%AC%AC%E4%BA%94%E5%85%AC%E7%90%86&zd_token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJ6aGlkYV9zZXJ2ZXIiLCJleHAiOjE3NTIzNzg0NDAsInEiOiLmrKflh6Dph4zlvpfnrKzkupTlhaznkIYiLCJ6aGlkYV9zb3VyY2UiOiJlbnRpdHkiLCJjb250ZW50X2lkIjoyNDgyMTc4NTAsImNvbnRlbnRfdHlwZSI6IkFydGljbGUiLCJtYXRjaF9vcmRlciI6MSwiemRfdG9rZW4iOm51bGx9.ltcWsMYJv-ZzcuBaSjYN69JC8hnIyPMFsfhIlum4yqc&zhida_source=entity)，∠ACD大于角∠ADC(α)。\n③由于∠ACD的对边为AD，∠ADC(α)的对边为AC，所以根据大角对大边([几何原本](https://zhida.zhihu.com/search?content_id=248217850&content_type=Article&match_order=1&q=%E5%87%A0%E4%BD%95%E5%8E%9F%E6%9C%AC&zd_token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJ6aGlkYV9zZXJ2ZXIiLCJleHAiOjE3NTIzNzg0NDAsInEiOiLlh6DkvZXljp_mnKwiLCJ6aGlkYV9zb3VyY2UiOiJlbnRpdHkiLCJjb250ZW50X2lkIjoyNDgyMTc4NTAsImNvbnRlbnRfdHlwZSI6IkFydGljbGUiLCJtYXRjaF9vcmRlciI6MSwiemRfdG9rZW4iOm51bGx9.Q1rCY0S2bj5Dwp3Fg7xb_VSFESz2_pCUETDybnHANvo&zhida_source=entity)中的命题19)就可以得到|AB|+|BC|=|AB|+|BD|=|AD|＞|AC|。", "full_doc_id": "doc-a5e3dacee89618f913c4948b6ffe64ec", "file_path": "unknown_source"}], "matrix": 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\ No newline at end of file diff --git a/dsLightRag/Topic/JiHe/vdb_entities.json b/dsLightRag/Topic/JiHe/vdb_entities.json new file mode 100644 index 00000000..7e6af989 --- /dev/null +++ b/dsLightRag/Topic/JiHe/vdb_entities.json @@ -0,0 +1 @@ +{"embedding_dim": 1024, "data": [{"__id__": "ent-043d3380caf00eb2310dd3faa6a84004", "__created_at__": 1752209912, "entity_name": "Triangle ABC", "content": "Triangle ABC\nTriangle ABC is the geometric figure used to demonstrate the triangle inequality theorem.", "source_id": "chunk-a5e3dacee89618f913c4948b6ffe64ec", "file_path": "unknown_source"}, {"__id__": "ent-8f4c99eefe09648d35e0adb3a70e4e46", "__created_at__": 1752209912, "entity_name": "Triangle Inequality", "content": "Triangle Inequality\nThe triangle inequality theorem states that the sum of the lengths of any two sides of a triangle must be greater than the length of the remaining side.", "source_id": "chunk-a5e3dacee89618f913c4948b6ffe64ec", "file_path": "unknown_source"}, {"__id__": "ent-db5203dcd8d28444cb765e0a69fabc39", "__created_at__": 1752209912, "entity_name": "Euclid's Fifth Postulate", "content": "Euclid's Fifth Postulate\nEuclid's Fifth Postulate is a fundamental principle in geometry, used here to compare angles and sides in the proof.", "source_id": "chunk-a5e3dacee89618f913c4948b6ffe64ec", "file_path": "unknown_source"}, {"__id__": "ent-847c21da8ab5c456b960f60c394aa01c", "__created_at__": 1752209912, "entity_name": "Proposition 19", "content": "Proposition 19\nProposition 19 from Euclid's Elements states that in any triangle, the greater angle is subtended by the greater side.", "source_id": "chunk-a5e3dacee89618f913c4948b6ffe64ec", "file_path": "unknown_source"}, {"__id__": "ent-8ba3a27004f706af0260e986bc6a092f", "__created_at__": 1752209912, "entity_name": "三角形ABC", "content": "三角形ABC\n三角形ABC is the specific triangle used to demonstrate the geometric proof of the triangle inequality theorem.", "source_id": "chunk-a5e3dacee89618f913c4948b6ffe64ec", "file_path": "unknown_source"}, {"__id__": "ent-8a5ebf15695060ebf00d53ab04833554", "__created_at__": 1752209912, "entity_name": "三角不等式", "content": "三角不等式\n三角不等式(Triangle Inequality) is a fundamental theorem in geometry stating that the sum of any two sides of a triangle must be greater than the third side.", "source_id": "chunk-a5e3dacee89618f913c4948b6ffe64ec", "file_path": "unknown_source"}, {"__id__": "ent-c28aba2ebce9095cd8d78f1df53c3cbe", "__created_at__": 1752209912, "entity_name": "欧几里得第五公理", "content": "欧几里得第五公理\n欧几里得第五公理(Euclid's Fifth Postulate) is a classical geometric principle used in this proof to compare angles.", "source_id": "chunk-a5e3dacee89618f913c4948b6ffe64ec", "file_path": "unknown_source"}, {"__id__": "ent-33baeb08781cf03b07b33ac6f4b4165b", "__created_at__": 1752209912, "entity_name": "几何原本", "content": "几何原本\n几何原本(Elements of Geometry) is Euclid's foundational mathematical work containing Proposition 19, referenced in this proof.", "source_id": "chunk-a5e3dacee89618f913c4948b6ffe64ec", "file_path": "unknown_source"}, {"__id__": "ent-9ac5593950faa90a93f1b5feec7e9295", "__created_at__": 1752209912, "entity_name": "命题19", "content": "命题19\n命题19 (Proposition 19) states that in any triangle, the greater angle is subtended by the greater side, used in this proof.", "source_id": "chunk-a5e3dacee89618f913c4948b6ffe64ec", "file_path": "unknown_source"}, {"__id__": "ent-1c05bc513bda1ef4c9e16fbdd1e1776a", "__created_at__": 1752209912, "entity_name": "点D", "content": "点D\n点D (Point D) is an auxiliary point constructed in the proof by extending side AB to create an isosceles triangle.", "source_id": "chunk-a5e3dacee89618f913c4948b6ffe64ec", "file_path": "unknown_source"}, {"__id__": "ent-6864816e2804264ec4a684abb1343e5b", "__created_at__": 1752209912, "entity_name": "等腰三角形BCD", "content": "等腰三角形BCD\n等腰三角形BCD (Isosceles Triangle BCD) is formed in the proof construction, showing equal angles at its base.", "source_id": 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tHLzZPYy4vMRrvOczsbwE2Ay9eb+UPMhHRj1q5qI8tMGCvBL57LwzELQ8IkQnPSJEJ7zB4uI8rWqnO0jAsLx1TUy8KVSWPYH7YT2ckBI9V7d4PbwLWD0ugBW9Q/hQPSs4Bj09BBM9Q/hQPXrOvzyIYMW8NKyUvepeDbxSJ1o6+XHlvCYMB72+78e7CFkAOyAZyzslYn08y4HNPMM4+rufA927lCoMvGz1zTuooke953qdPGhJHz0NePk7GDOVPF7Vb7x2dwU8j0b7ukSGKb1BzfQ81MqgPGzKEjxw6Gi87Qo8PfrHfDxhD/e7RIapvDkuqztg45g8QEyiO1Q1Az0Ybfs7ZtfWO5KNiLsBg3e8LfI8PR58R710sEg98dKbPOrQNLm7tUC8KGKeOGwtjzz1xTY8ZcirO4ClSjwfi3K57Qo8vUjAMD2SRhy7u7XAPNMtnbyTfwA9FJZwvIucdrxS4xI8b4ZxvTty8Lpl3S+7RCTyPD3ILL1xRhQ9SHAZveATebu9mG69BBqzvI2RjLwuEky8DxmxOjhaZzzl4Y89tTypvBJmrTyQ3oi8e1m8POWtcTz0Y1K9GAAmulfxBj1GGYg8N/nAutuaST0rzg88N8RNvEkxkTx+EJ+7HzC4vNLoRzo7Pf28uhb/O3I9VDvjyQa8uR+/O14XBDyH95O8FR0QPBvjuzyvojC9UMJJPN5RLLyQqRW79k8ovUMtMjg4WZK8p+duPEELFLxT2tI9WtQcPKnTRLxR7nw8f9GWPPdG6LrffIq9ycsKvYEoqLyKeYM75CAYvd59X73BpY08Y4dzOjsRSrxd9jq79PgWvNkY2rx0kxA96+bDPG/vgr1feCq97DyAvRyuSDyECz69Mf6hPLU8Kb3+3ws8OGOnu5vxMLyEdSQ8N8RNvOvmQ72/ubc8GGqMuoEoKLyHWLo6Sfwdu+cv4bwaYcy8YNlQPStkKTt4FYA7ndRGvXZUCL2GN/G8qacRO+6UZjsMLVs9QRUpvEJ2zzynUAC9sxtgvP1/OrxBC5Q9Zj2BPIvQFD06EUo722VWPVZcwjy9zIw8L3IdPfZPKLzpuhA9+dEXvJfZJzuFAn49SvPduwb9yDxYveg8OSX0PHvDorv3EXW85Ouku+eZRzyX0Oc6QRUpvDZCXr3dhh+9H/vEPFneMTwB+JQ8FX42vQqqFr2SAfw8lSLFu+wHjTm2M2m8sJnwPGdzSbyn5hm9hTacvQZnLz04Wue8E13tOx1E4rznA648DSyGPORMyzw0Sx49XVdhPC0bjLysv5o8dlSIPFBYY730xHg911aNvak9Kz2QdKK8vKEuPbTm7DxVO/m8e1m8POHKW73duxI8mSakPZuzfTq2Bza98824vGWoPLuNJya94J6ovIY38bzxtS89xR49PaaGSLwAmMM7PvTfvGL6Gbu8zeG8NUEJPd6Gn7sFnCK7rwyXO927kjyworA8Byn8PNXKiLzP+xy9V71ou2+7ZD0btwg6jojMPMUePb2RCry8H1zru1YwDzx1Kaq8Q2IlvcCw97zMGAc95m2UPKDsz7xEjti8TH6NvSdMoDzJYnk8bo8xvIXWSrqR1ci8hKoXvX8GCj2kmnI80+jHPDp7sLwA+Wk9BpPiPODTmzvY4pG8RO/+O+0zQD2eaQs9f9srvK9tvbzgnqg8kgF8vCoDg7zhaTW9EA+cvfYaNTwW6Bw964UdvQwtW7w724E7hNbKu7tAiLp+pjg95OskPY60fzy6VLK84f9OPdWVFb1cwcc8XJWUu99HF71zB4y8zOTovKlynr3c++88tzIUPOc4Ib2b5xs7L3yyPBJmLT072wE8pxzivFkTpbwAzba80kiZu2E69zpPYSO9kgF8PMUePT2qad68alZfPH+d+DwYyzI9ei0JvV/iEL30Y9K8PcisvAPlv7uOiEy8ubSDPew8AD2Gode7G02iPHUpqryH95O8sJgbvQxizjzYtzO8bA1CPU/LCTu/Gl68NaxEvUVYEDyj2CW8u0CIPJvocLvYTU09sAKCugJPprt7+JU7y4NCPDL+Ib5Kkje92m4WPVo+A7ynWhU8FklDPfM3H7129Da82jkjPYJThj3zzbi83rJSvRsYL7o+KdM7Ntj3PG6Psbusiie9HUTiOngVgLtZqT685bYxvbvWIb3/oIM8+pNkvGkgFz3e50U7rCDBOcnLirrp7wO9It0FvN2Gn73D/fM8qqeRunC6j7wEEfM8f534uicXrbz2uY48VTCPPMDkFT06sCM95OLkPAwtW7s/v2y88824vLED1zvvVAk8J0wgPYnu07ySCjw8GDWZvDiPWjxN3zO97HzdvFBYY72RoFU8fLpiPa9tPbtBQIc8L7Glu03fszsq2Xm9A+W/vBLHU7rYGNo7Ny60vDLA7jwtGww8d+t2PLoWf72/Gt48OSV0PKEhQz3aOSM8AfiUPEim4Tz50Zc7vcwMvHzvVTxKKFG9T8uJPcFwmjwOuIq65CAYPXerGbs2zQ29eKLZO6z0Db3Jlhc9S/NdPh+QCT0i3QW8kXSiveS2sbxWxqi88qzvPBx4gDxi+pm8DsN0vHM9VLxBQAe8OhHKO0VYEDwkyjC9+pPkO1SkCr1IpQw9Uq6fPJmQCj3D/fM8xelJvTFfyD0sW+m7tmhcvfmcpLwawR08Rnquu0uJ9zx5bWa8DAEovTmP2jplEiM97Z2mvDYCgT16oQS8tOZsvEryCL3w6iI90VKuO4Iekz1EJPI76DghPGmLUjsQr0q8ArkMu+V4/jzdUay7OuWWu/Uu3zwYlj878RbWvAzMtDtBQAc8ZRIjvY3yMr0qzg+9eW1mPZfQ5zveUaw8H1sWPe0zQLwKSkU9JMowvRZJw7pAq0K93xP5vP6qmDwj3lo9u9YhPfa5jj2BiU49r209vQH4lDwyKQA9zOOTvGS85jxm1O+85wOuvOCeqLwawvK875Tmu80Z3LwrkFy97f5MPO6TkTw6ezC94TRCPfmcpDypCDi9kmtiveUX2DsZ9+W8/LStvL5Ykby8bDs8w/3zvEEVqbwtG4y9jZGMPCv6wrxjJs28PKfjvKC33Dw4Wuc8Uw9GvQxiTjw4j1q8WROlvL2Y7rwuEky90bwUvL8jnjxxewc8y+0oPJodZDz8HhS9QEocPaxVtDysiqe8y1ePvAp2eDpYvBO8hjdxPD2TOTtJ/B09Byl8PClCC7sqmRw7hECxumdzyTxVMA+9KQ5tvfM3H7zvyVk8K2SpO/OYRT3CnE084crbO3h2prwJ6R68ltmnvJzdhrzxFtY7sDhKPL5YET3nZFQ8ie7TvAwBKL1Dl5g7/B4UvbMb4Dyj2CW8N/nAPNhNTTtv7wK9qdNEusyvdb0cedW8Td+zPL+NhLw+9N88IVGBvbU8KT325UE8/avtPIzQFDxwu+Q87f7MvCgObbwlyjC8m1LXvFSkCrwGZy89rb8aPTvbAb2zsfm8IqiSPJektDv27oG8bKKGPB4EBb2XpDS86xL3PEgQSD33sE690byUvGCjCL3SfuE7MvQMvZVOeLzlF9g9JvUOveRMy7zozjo6RnquPI5ShDzkTMu8VTCPPEnHKr2yJCA9Lke/PO2dJrxvWj496e8Du7CZcDywDBc8Ft4HvBhqjLxn1G+985jFPCKoEr1Py4m9oIupvM0ZXLwGnKK8TwoSPH1FEr1mCWO8O3EbvRphzLyRNu+6QLSCPHnXTLyb5xu8jr0/PBuClbxBdk+8Zd2vu8Xpybze58W7Zj7WPH8HXzwREPE8IkhBveguDD1d7fo6tBtgu7m+mDzleP68junyPJWCljxaCmU9o6MyPWt3qLze50W8hyyHvBXonLwN+Gc9sxvgPHLTbTxQLDA9Xu16PYf3kzxwu+S8J4ETPIHHgbwF0ZU7Zd2vO93wBTwOw3S8hHUkPSGypzxO1vO8y7i1vAQRc7y5tAM9Ka3GvIdYurzDMRK96cX6u9oEsDzXIRo8tLH5uw0sBr2LpbY6OhHKvMI7p7x7w6I8RxBIvK22WrfSFPs7viMePPa5Dj0Q2/28Zd0vPAEu3bwW39w8fLmNPBza+7yK2qk84jRCO7yhLr3rEvc8/UpHOxiWPz2IueC8EQUHPJcFW7xBQAe8EvxGvTEq1bz0mEW8xDJnvXmhBL3+4OC8Ntj3PD1exrz6kg88DSyGuwrg3rwEEfO8NBarO3/Saz1dIu683n3fOzRLHj3FvZa9H/vEPMNn2jsiqee7b7tkPLVxnLwr+kK8vM3hPN9IbLyQ3oi8iLlgvaaGSL1hOve8H/tEvUZ6Lrsk/6O81TVEvWJbwDsGx4C73ufFu2tCNb2LO1A9lngBvW05dbv/Np29Ak+mPYCdeLy/ubc8ub4YPdujiTvIoKy81cqIvEcQSLxd7Xq6AM02PbTmbDwfkd47SKbhvBwYr7z5Z7E9TkDavBWzKT39FdS8Joz9vLDOYz1IpuE8OFkSPWXdL7wZjf88Uq4fPKaGSDtpVt+8qmlevGvhDryc3YY9AC7dOzvbgbxOChI71D6EPAAu3boLdvi6qjMWOSb247wxKlW8glTbusXpSb2Ut4m7m/EwPGkhbL32uY68HE0iPIR1pDxXkTU6lFe4vD8p0zwCTya9DAGoPLOx+b2LBl091J+quLYHNrsoDu27+ZykvLm+mLzefd+85OukPKTPZb2+Y3s9OxFKPOH/zjziaTW8e8MiPV4XBD2nHGK9d6sZO5S43ryFoII9y05PPGY9AT2Xb8G8tTypPLkfPzv6ZzE8hyNHvP5KR71Dl5i8pM6QvGY9gTwW31y8D6/Ku2DZ0DzLuLU8KgODPZjQZ7wylLu8EtATPZWClrwuR788Lz7/PC/cA70AxPY6F3X2u9gXBT2BvsG7rkx0Oz3IrLyyujm9N/nAO7nqS7zGUzC9wXAaPetGlbtJZgS8lO3RvFLjEr1a1Bw8D+Q9ulbGqLx6bWa7zeRoPPEWVr14QTM8YG/qPNgXBb3eHLm7DSwGvXIIYT22aNy8IqiSPZDeCLzDZoW9m/EwvMWIozz9Ssc7cCXLu08KEr3/ASq8EsfTvCtkqbxjJs08DSwGPAddGj1Ms4A8gccBveSBvrydPi29U6XfvGDZ0Dt87gC8AfgUvaQEWTxzBwy9LMXPPK22WrlW8ls9NazEubTmbL0ERRG7Mr8Zu/9rED3Qx/68zORovRbeBz1byoc75RfYu/OYxTzGf+O7tjPpO7Xbgjxh2VC8WqB+PLw3SL1olBK9Z598PG5tkz3cxnw8A3qEvEbkFD1DYqW8uR8/PWlVCjr9fzo7obYHvU5AWjzUPgQ9K/pCPb2hrrsv3IO80YchvXhBMzy6fxA90R27PD70Xz0oeNM741ULPVyM1LwoeFO8BjI8PFD3PDvukxE9PKaOvDR30bzSfYy9tgc2OvNskjxwhRw7SvIIOtdWjbt7JMk8+QYLvSvFTz2QP6+7N2MnvYNTBrwSmyC9NEuePBEQcTu8zeE8EBkxvas0a7v0+Ws8a3eouSe2hjxj8AS9VDv5O8MxEj2HwiC9P/RfvGkhbLxb1XG9e44vOxRSAz2LO1A993oGPbPvLD1TRDk99uXBu/SYRTxxESE9wtHAPL5jez1URDk8+dGXvH/RFr2mhkg9fjxSOhd19rx2HxW9aovSvK3rTbzZGNo8BpyiPDBoCD0ywG48YNnQvIR1pLyjo7I6iE/6uyrZeTx5OHM897DOO4If6LsTkYu8fnHFOy7dWDxjuxG99PnrPKEhwzyb8TC8fISavLCZcD1GryE95CCYvFbGKD2LBYi7yZfsPJVO+Dugi6k9/FMHPbSFxryo5+482888uytkqTzleP68hECxPBB5Ajy/T9E7zOOTPBB5gjxikLO7o24/OzXY9zv3sE67F3X2PEfkFDy6Sp08K1vpPAjpHj3NGdy8Ak8mPaAqA71BrCa8v087ulSID7zXqcc70ta1O7fSzLw6C4k8hx60O2nUVj0X7hk7ErcfvT1mMr2AWpw7j82WPDBO4bz11mU82++7PA4ieLgV/RM8gL4EvaYEqb2MVa68sPH1vEtvCT2IVmO9RhvQvHuHCryIVuM6MLJJO4qrUT2ZUEA91bIGvV9mYjvRbJI8nWr7vEwLobycljS9OYQmPBcgjrw2PrI6VhWtujWF27ypSh09TjRWvbb+BbybLBG982YHvPCf67xD1du8OeiOvJN9rjqsD2q83wl3Pb+zo7zsPge9VhUtPRc7/rw22kk8QKymvSU+Grt9FCi9rh0vu1NrUL1ggyG95KRZPOjVmDti8387HoA9vNJyTTrzZoc8RX+4ukqZczv8GyW9hi0uPfSeNr0J0A28qJHGuk/Q7bvTDmW8DgeIPJbDorwDdhk9vG2vPJS13btttuK7qJFGPRmtK7zp29M8K3vPPJdfurx8qoS83XzZPIi6Sz3RuXa8T1GVO5GMqLuFw4o5I02UvLiLozzQyPA8YIOhPNo2ZT2moEA8BgnyvC7BwzxYBrO86dtTPSAHoDyzuBE9UHSPvKKhdTy5w1I9HHL4PKKh9TseFpq8q9c6vESOMjwn/as8m/ocPHRfirwotoI8rcjAPD67ID3nBw28WVshvZoJlzwyP2e7/+DxumqNLb1UiA88CQICPQR8VLtdPa08bVL6PP4Mq7x4eUU6SWHEvF6Smztub7m8JHCOvVSIjz3raPG8CU9mvF09Lb2BLmM9seL7vIBaHD1ttuI8aynFub3CHTyKq9E89J62PE78JjztdjY92jZlPAIn5jzGWvy87wNUPaXnaTwRE349Gd+fO8sSHrwqdZS8BBhsuWdHuTykrzo7Ff0TPEBIPj0BUx+99SWZvYpHaTzAh2q8U8+4OnD8VrvoP7y7zZ+7PO4SzrqVbjS85MEYPDCdlL0y8oK7wvkXva4dLz2ioXW8iXOiu5VuNLt0+6E8W34bvWx+MzsUdrE8BryNvCxs1TriT+s8hmVdPUGsJrzfip68NE2sOrsDDL3C+Ze782YHvUq2sryPzRa9UjOhuy7egr0VSvi8QQEVvYfmhL37sYG8SpnzPIr6BL2krzo8ebF0u+owwjvdfNk8oc0uvZ1PizxBARU9LsFDvJ94wDtJxSy8ogVePF7ED7gGJjE9PrsgPJt59TtSl4m8FHaxvLvRF713iD88P49nPNWyhrva6YA8B15gPeDCzbwFNSs9ynaGvJN9Ljtvp2g86SqHO8r1XjvyEZm8QYBtvaWaBT3fih48ZGWtPOF7pLwyXCa90jqeuijR8jupfBG9gkuiuwgXNzyYl2m9RMZhunR6ejpxGZY8k32uvHJRxbyhzS48uuARvNDI8Dz6qfc7bGH0vE/Q7Tz+qEI9vkkAvBO9WrwV/RM7xIY1PSvKAr3WVFk86pSqPGh/aD3NO9M8l/vRPD46eT3nOQE8pEUXvNPBAD39U1S93ESqOVHBcztSFuI8T+0sO2KmG7wEGGw8TIp5vT9XOLxJYcQ7R9QmvREwvTxpnKc8MLJJPZA3Orxy7Vy91vDwvGcq+jwFNSu+b1oEvYDZdLwcVwg9MOp4PGAC+rcC2gE6QKwmvWrxFby4iyM9gD1dvSL+4LwJAgK85uSSO56/aT3RngY8TAuhvPnVsLwY9NQ70ta1vKVokbw0sZS9Lt4CPeAmtrsmRNW8h+aEvHEZljtMCyG9I5r4vFna+btDVoO92f41PENxc7sRzFQ8DBaCu1uwj7zRnoY7hNg/OeQlAbwagXI8iFZjPXpqSz1gtRW9Ph8JPWdHOb0wTuG87mEBPKKGBT0O1RO9VcC+PDJcpjtUB2i7dPshvdsna7zqzFm9qp8LPQitkzxDVgM9J/2rutsn67s3kyC8r7lGvYtkKD19sD+7iXOiuwj6d73DzV661f9qvPF1gTz18yS91qMMvLquHT17hwo99+SqPIDZ9Lz6XBM9hcOKvHbsJz3EhrW8f6FFvU/QbTwrygI7RhvQO0EzCTwyXCa86SoHvfvGNrzNAyS9AP4wPaagQD6ZiO88Mj9nu2UehL1pnCc864WwPNX/aru4bmQ7YLWVvLFGZLx5ZJC5RrfnvEnFLDx5loS8uRIGvcGkKTxvWgS9A0SlPOWVXz16aku7VhUtvYMf6TtXnI89vxeMPPQ6zrzpd2u7iNeKPNTHOzvEHBI9J/2rvLHieztmD4o88pBxPTDqeDuMOG880yskvB+47LzraPG864WwPGIQvzyX+1E9rrMLPITYvzwU2pm8iqvROrL/Or03xRS9qC3evMIrjDtP0O28Nj4yOpUKzLppOL+8CBe3u1XAvruDg9G6bygQvWC1FT3BQEE9UKYDPYi6Sz1KmXO8n9woPRhDCL2ORrS7+g1gvUfUJjz9t7w81GNTPaIF3jwFNas9g6CQu6u6e70dx2Y8EJSlPPH0Wb26GEE8bGH0PEgMVr1o41C9zlgSvG03Cr3uLw06tCjwPFaxRD3Q5S88AdJ3vNzgQT0+7ZQ8K3tPvGnU1rwXn+a74rNTPF3ZRDx/BS69WpPQvDJcJrt+mwq990gTvQN2mbyb3d28ogVevA1OsbyvVd47yvVePO4STr0tCO27yVOMPHRfCr3O1+o8JQwmvVtMJz1COUQ8zTvTPJGMKD2O3JC7ifJ6vIH2s7nPkEG9CQKCu8PNXjz/xQE96+mYPIeCHD3/xQG9GFi9PFlbITqYGBE9Q1YDvYhWYz0ShSs9+g3gvDCySb3B1p06jDhvPfZ6h7yXXzo9jQ4FO1PPOL1sfrM8BgnyPApsJbzt2p67g6AQvVWrCbxIWwk9vG0vPcjMKbxa4gO9roGXPB4WGr0o0XI74k/rvDeTIL3DMce8EmjsvP2ih7zEToa8EoUrvLvRF7xwYD+9RmoDPfcWH71+6O48xxNTuxefZj3WVNm8Ud6yu8FAQbwcJZQ7vUF2vDq81bsJnpm8LNC9PSeZQz3gJjY9nU8LvPx/Dbz6DeC7qcl1vFHBc7uniws77q5lu5RRdT0wzwg9ECoCvcFAQby1Ra+7Pu2UPcuutbyy/zq9HxzVPSeZw7sStx+9xIY1PT+P5ztKtjI9qJFGvenb07yQmyK9gNn0O5bDojpXahu9xIY1O64dL7xfyso8clHFO6gt3jwUEkm9T9DtvCw0pjwL84c8CK2TvavXOjy9Joa74d+MPC0lrDsywA49Cut9O0/tLL3XcZi5L6yOPGLz/zt7ovq88LwqvMQckjsUdjE9P/PPPMgEWb0m4Gy9YIMhvHGYbr0JT+a7xE4GvdrSfD3VsgY6LxYyPZf70TraNuU6ztdqO7FG5DxSlwk9S+7hPA7qyDtsFBC8oc2uPF8uM7wjGyC8IQ1bO4qrUT0e5CU90R3fO7TwQDz1cn08BiaxvIny+juWwyK9bgtRtxe8Jb0Lj588o/bjOzCdlLwXn+a7PPwOvbs1AL0L8we9lW60uOLQEr1wYD+8pBOjvYqrUbxUuoO74rNTvSjRcr2WwyI8d3OKvBwllDorygK9Y0juvL5etbzrTQE8eEGWOsYNGL1UugM9AP6wvMbbo7zEhjU90OUvPZ9Akbwy8gK9hslFPeg/vDy6fKm9Jag9PK/WBbw/V7g8BoqZvQ1OMTz+Ph+9KO6xPG/EJzy/5Ze8vkkAO6dZl7wUdjG7UKaDvHsGYzwqQyC9XpIbPRhDCDzgJrY6QN4avSUMprtCnSw916nHPJbDorzmTjY9PPwOvXdzijw2opo8MM+IPbQNgDyev+k8eN2tvKKGBTwbOkk8ynaGvPiAwrzDla+8Ianyu7GVFz0WA8+6TS6bOyFcDjxmD4q8tIzYPIXDCr38mn293wl3Pc+tAL3fbV+5hwH1u807Uz0Vyx+8mEoFPeJP67y5w1K8Fme3u43xRTz/k427b8SnOsVxgDx/oUU3QYBtvYQ8KL0e5KW7nr9pPZmI7ztVwD49T1GVvNDI8Lw6vFU9+DkZPevpGD0sbFW9OiA+OxB3Zj3M5mS9FHaxvCTvZr1kndy8ooaFPbu0WD1KmXO88fTZvPF1Abzi0JK8Ga0rvBX9Ez3nhmW9qcn1uzm2mrvfCfe81YCSvONsKrzUx7s85flHvCuYjj27NYC8aZynPNGeBrwxa6A8vxeMuwPD/bzAh+q9seL7OsLc2DyAWhw9SX6DvcuutTtWeRW98kONvBj0VDz8G6W9r7nGPHMKnD3YlBI9gq+KvICMkLt3iD89xXGAvUEBlTuf3Ci9J5nDPCRTz7tYBrO8/XCTvK+kkbtub7m8HmN+vIC+hLwyjpq8HCWUvKNazLzLEp48xlr8vIy5Fr1WscQ8UjOhPNiUEjwX7hm8T9DtO0XjIDwk72Y8h+aEu918WTxSesq8rgBwPEQqyjyiIp08nDLMvBUvCD3BpKm8NdSOPMbbI7tWeRW8F59muz46eT0xBzg7aDKEPKc8WDwtuwg9+o4HvNn+tbyNDgU9Q9VbvCrC+LzFPwy8zIJ8vFdqmzyw8XW81bIGO+y93zu5Ega9HxxVO+uFsD2j9mO8yvXeu0CsJj3LRJK8Mj/nPN41MLoShSs9yllHvE6Yvrwc1uC7ShqbvMf+nbv+qMI9JT4avCmnCL1O/Ca8eEEWvG+naL14QRa9pefpvG03ijveNbA8uRIGvb1BdjtQJdw8+2LOOTogvrsCqA29hcMKvObkkrsTWfK84Re8vJ3OY70LQOw8ZR4EPXT7oT2skBE89VcNPWJ0JzukE6M8vkmAvMCHaj3186S8HHJ4PM7X6rzmTjY94a0YPWk4PzlbsA88GzpJPe12Nj1EKsq8T+2sPFFCmzy/syM8F1KCvMxnDD2Q01G9zJkAvQkCAr0/80+9jka0vK6zizxlOXQ8AdL3vNjh9jzEhrW83HaevRYDTz1FFZW9Sz0VOyO3N7n4HNo8E1lyvOg/vDxbTKc9WAYzvYTYv7zmFoc88pBxu4Zl3bzfbV89YVdovLL/urzd/QC8NxJ5PPAgEz2befU7/XCTPBM+Ar0Stx878XWBvc5YErwdx+Y88CATvUiobbuIuss7E73aOgffBz21RS89g9KEvPyafb25Jzu8b1qEusAIkjz4HNo7d4g/PcYNmDpnqyE9WAYzPXsjIj2jWkw7MQe4PO/LJL0m4Gy8Ud6yPFFCmzyJ8nq6HXqCO0q2sjz4a405+IBCPOnGnjzBpCm8gkuiPBoCmrpHcL68q7r7vFFCm7zDMcc8tA2AvNvahjzvy6S7nJa0vIkPOrtnqyG8/VPUvDt1rDwlDKa8tChwu6O+NL1EKko9neuiO9LWtbsegL28GUnDPLjvCz0MFgK934oePcOVLz3YRd+8hDwovI8a+zwhXA49EJQlPFvovjshDVu8QCv/PH5pFr2N8UU8M/g9Pd2ZGD1by3+8PWYyvJgYET2gMRe92JSSu0V/uDtSZRU8rWRYvZam4zw9Ako8ZlmPunB1ZzyMWU69clkkvQZRBL3xBZi8xsgtPV1OtjyCJ2C7HoZhPAjUYbwaOLe7hLKuvPBTuzsCBrS8wz1fOyecBT3wUzs9HuqaPAUtybv/N429QZwvvN7si7zCC3+7R5y2O869cDws3+S8DNToPOusIryA9f87+4Wpu+usoryeb4C8Qw6OPMLIpjzu3gK9vIt0OubI3rug5Li8PU4FPbm9zbsSLd68q704PUwcwbzzngs9T04hvRE4qbwkAxK9ENGVu11D6zz7LDu8ejIdPfYsND0cuLq8peQ/vXenTrxCQ0G9nmQ1vLLvH70a38g7994QvQe4lzmRZKC9LbhWvWIZirsLVGW7abIEOvGsKTzISDG8eM5jvNzTmzyhPSc8SHUovUecNrzlhQa9QkNBO6sWJ71yp8c7/yzCvNaWaT2LJ+47rBYnOcdvP7wqBnO9t+8muzLDqDxhnOA73SE/PHTO3DzIoZ+802/Uu8Q6hTuLpBc98V4GuzlDMz3rU7S8xEgqvcTk8LvS71A9dIA5PYiytTvf+jA88aHeO9GW4jxgWYg8B3iZPBxfTD0akSU9XtkEPWGnqzmRAOc8AlRXPKE9J7wH0Qe8KrjPO+4spjwPERS8Jl/aPC5qM7vaSM289yHpPIoyOTzd7As9rpaqu5Vkp7xeJ6g7J0MXPDzOgbwCBrS8MDjauw/7fTtAas+8nmS1O5q9nD3bSE297SFbvbyWPzypi1i8OxHaPCM4xbzyxZk8vhZDPIm9ADyLi6e9Gi3sPNNvVL07dRM9sYiMvPPI8zyRCzK9badAPNA6mrvuLCY8wQv/vBLU77zuhZS66dMwvYeAVT1U9Tm89fpTPEuR8jx5J9I8PI4DvffTRb2EWcA80pZiO0nnhrxew2490JOIvAQtyb1bHNY8odltPC/DITyXizy99AWfvJPkIz10de48IV9TPHgLCD1t8ok8hFlAPCycjDtIdSg98cUZvS/ckbxCnC89nrJYPCRcAD0xXBU9zr3wvLhk37vHbz+8Cd8sPTbDLz2xb5y8N2pBvIinaryxvb+820hNvUeRa7yvliq9l32XvGIc5DyGzni9wboBvcoW2Lt12ae9XxxdvKNZcTz9Xhs74G9pO+hTrTuU2Vi8/qFzO6tZf7z/LMI8WQAMu+Z6u7wvwyE9J0MXvf96ZbxlnGe8ChENPJjkqjzV+qK6994QvQDU07xyp8e8M19vPONI2zu6yBi9TGcKPICypzzQb828IzhFPMZ6Cr2mlpw87oUUPGh12Tw/zgi8rpYqPI+A4zqzCBC9J0OXvMiWVDzNllu8T06hO1ecUjwlEbc8H0OJvUqcPT03HB48goBOvSAGZbwD0QC8pdaaPAzfMzzSluK7gs5xPNwsCr0M37M7N1/2PEucPTx2AD0870WWPTBDJTwTEZs7DXv6O8cWUT2GMjK9ahmYvDVDrLqyljG83CwKvCtDnrpJ5wY9Og6AvPBehrmdi8M9CIa+vJKn+Duclg69tMgRvGfOxzw/HCw9oTLcvOVvcL2m7wo9JOohu8hIsbzqRY+8yyGjPOpvdz1c9Uc8R5w2vehIYrwhuEE8oJYVvraWOL2u7xg9wb1bPbQWNTyy7588JRG3uz7qS70PEZQ8JrjIPLgL8bx+5IC9LzUAvWlOy7xgpys87FO0O4bkDr3xXga8yKEfvFBnEb0PVGy8i4snvdJIPz1/C5a78FO7PNhv2zuxFq68Ia12vIekELy2Mv+8H0OJvaUviT2IWce7ymR7vIeAVTyB2Tw9dwA9vfRTQj3R+pu7tG8jO26nQD31SHc8+ay3u+P6t7uPJBu9V5xSvAjfLLv33hA9nT2gvO9FljwlHII8aU7LPM3kfr2UVgK78KwpvZEAZzxP6mc9BS3JPG9yDT3AYZM8iADZvJELsr1RHMi7eAuIvVF1Nrp7WTK9DlTsOkjOlrks32Q85wWKvcYhnDwBX6K7kbJDPYBZuTxpsoQ7UPWyPM1IuLxSHMi8WychuxqRpb0TuCw9ijI5PUfqWTvc0xs9NPUIuufvc7wHVN48+ay3vIuLJz0duDo+oYB/Pc8W3zxHZwO9r5YqPWSZjbwcwwU9vEicvOj6Pr2hgP+8GYOAPNghuLwzEcw7htnDO/wsu7wUreE8uAvxvEqnCDxsHHI9ewsPPBi4szxIDpW8gPV/PahkQ7xNJwy9oDJcPBXfwbxWavI77shsPYD1f7wJ1GG91u9XvN6WdzzFYRq8HBGpvJjZ37wa1H08Ft9Bvbhk3zyrvTg9Z9kSPbkhhzugPae8CrievLOLZrwPuCW9WichPFUcz7s9nCi8Tc6dPI99iT2WFgS91NONvCARML1H9aS8dUuGOzbDL70CuBA9tovtPNTIQjx0J0s6Aa3FumCnKz0RkZe8Aa3FPE6R+bxdTjY80e9QPOXTqTyv75g8NhwePQTRgLyVZCe984WbPIekED3Jug+7nmQ1POF6tDv9Xpu8+Uj+vPWsMLzYbAG9p70xvVWAiLyVp/+5fYDHvK49PLvfbA89dCfLPD6RXb1HQ0i9XFkBPYLZvDwTagm9+Uh+vSKDDr0e6pq7QurSOZq9HLsH+28850hivWansrwoXIe8O8M2vMTkcDzTep+8NZyau/D6TLypPTU82G9bvDscpbwdrW885kUIPbWye7tuTtI7AIawPM3vSb00Qyw9MIb9vEx1L7xpp7m8E18+PLbvpjsKXzA9gs5xve9FFj19gMc7IGoePTK43bxzywI9XtmEPPkFJrxLkXK9Bga7PE0cQT0oA5k7aac5vcnk97vDIRW81yG4O5fZX7y+yB89hSQNPV0ZA72ist88yeT3ueKhSTxizkC9qFl4vEXDRDwgA4u8A9TaPHcAvTnjrJS70VOKO1RD3Tx1Swa9LzWAvWGcYDzphQ09FeoMva+WKj30BR+9z29NO1wAE71RJ5M90aGtvNpTGDwa1H08iQskvbbkWzzmyN67PrUYPPSsMDq7oYo99VPCPBzDBbyY5Kq8puS/O0ecNjx0J8u8pxagPHtZsrzcIb88WychPVUcz7pC9Z28GYOAvMZ6CjzaU5i8QkPBvIWyrj17siC9VEPdvD6cqDxB6lI8cqfHPKsWpzzGFlE8o28HvRStYbuWsso8ETipvOOhST2fb4C7MEOlvP/TU7sCuBA8MJHIu0h1qL1bHNY8mJaHvB24Or2YMs46NrUKPOF6NDyJsjU9zZZbPWr1XL0E36W9+beCO6HZbTxZp528uuGIvVtAkbxRgIE8k+QjO3B15zw1nJo818hJvUucvbvu07c8o2+HOgH7aLxUQ108NsMvPZSA6jxAHKy8usgYvB6RrLwPVGw9Ll/oOogAWT1o8oI98FM7vM2hprqPMkC9kmQgvRgGVzx7sqC8sMgKvPbI+jq9vdQ8yO/CvJiWh7v5BSa6RMNEvQx7+rxGkeu8p28OPMW6iLzm06k9BNRaOxbfQb2wsnS9kQBnPM6hJj3WUxG9fksUvQSGt71TQAM8F63oPE3Onb2vPTy8oT0nPWjygryECx29suRUvLVvI7zGIZy82G9bvbrIGD1Sams8jABgPM2hJry8SJy8nrJYPL9IIzxNzh0850hiuxgRIj3Nlts8QI6KvRMRGz2CgM65iQskPcCWRjxEHDM9/bcJvagL1bygPae8XAATvb/vNLxNamS8sMgKOhNqCb3uIVs8DlESvc698Lt/Tu68SHUoPCfqKL2Q/Qw9nmQ1PPOFmzyfLwI8dc5cPb+hEb0yHJc7T04hPbWy+zq0IYA83MjQPNLvUDsyajq7mVaJPNmWcLxpACi9JRG3vCVfWjxdnFm8v++0vHAyjzs0Q6w718jJvHDOVT0pEb68/PeHvWSZDT1bJ6G8EjgpPHPLgr3p0zA9PU4FPfwsOz1iHGQ9Y9kLvb291LyoC9W8eCfSOxWRnjwAInc9togTOj5DOr3n+j46yO/CvGcygT1ZwA299KFlPMbIrbxCkeS8PfUWPTd1jDyiZLw7Q7j5vKk9tTwyX+88zeR+vP8sQrzBZO284NMivW3yCT3p0zA9XxzdPIkA2TtdQ+u7B1TevLLkVD22i+08GtT9O9FTCrxVwAY8eouLvUGcL7zaSM08WnVEvCaDFT1gTr08iQBZvMW6CD3cyFC9OfUPPRwGXryvPby8yeT3vQQi/jv83pc8M3UFvb29VLww6ra8ec5jvfCsKb1XnNI88t4JvVrOMj3/hbC5JrhIPRBftzwNOCI9VhxPPV+ZBr3jSNu7wboBvccW0T32LLQ8b3INvFf1wLy9FsO8BS3JvNSTj7uCMqu84Xo0OzCck7zLFti6X5kGPQ77/bw2HJ67Ll/oPPwhcD3CugG8IV9TvP8sQrufLwI9gtm8ODJqOjyxC+M7ynoRvTU44Txfzjk82ewEPXnZrrz8et44bk7SvI8kGz02EVO7KWqsO7xhDD0F+JU9F7gzPPX6U7zuLKY8fYBHvdqsBr0PuCW5KtwKO73In7pQZxG8nm8AvVNAgzoKEY07V5zSvM8hqrxznPy8WxzWvPhTyTvn7Jk9dXXuugSGN72RWdU8QTh2O27147yNZBk7FTgwvdZTEbxTTii9aQCovB2t77zl0yk9mOQqPcHIJjyssm29C63TO88WX72jvSq9rMgDvMchHLzqb/e8PpHdvPx63rtagA87xPqGPGuAKzx28he8iE58vV2c2bwjhmg7X4AWPKwWpzuebwC9PDWVPN+W97sSOCk9S5FyPaCWlbzhyNe8sb0/vNahtLxHZwM9L2ozvU7njbtRdba7o1nxPD91Gj2UVoI8Vc4rPOysIj1CnC89xPoGvV7ZBD1q9dy7mOSqPP23CT3wSHA9PLhrPLRk2Lza+im95no7PL9Io7y9C3g8oe+DPIKATrxngKQ8sb2/vM4TBb2hgP+7+aw3vZJkID1U6u68ZUP5vDXqPTwMhkU9AIYwuxxfzDy8SJy8lf0TOZ8A/DyYgPG7cvVqPZ/WE72Nsry6tpa4OtJIvzv5BaY8ck7ZPLs90Twr3Aq8B9EHuXXO3LmEWcC7854LvKxkSrzFYZo8/NNMPKOy37vVSMa8L8MhvDvOAbxRdTa9J5wFPXVLBjwjQxA92NOUPWvZmT2m74q9HGqXPIbZwzxzADY9I4ZoPYin6jxCTgw8RM4PvbuhCj38hSk9OUOzvBKGTDyd2WY8qBYgPGCcYLsQKoS5ybqPu9hsATyzMvg7NUOsvL1vMbz5twK9YE69u11D6zyC5Ic86XpCvPSssDqLiye7VYCIvHVLhr3LvWm6IGqeOAfRh7yoZMO8TWpkPQCGsDwoA5m9oe8DPQdUXrs/dRo9PZwovEHqUj1wdec8D1ESPHQyljwXrWg840hbPGAAmrsa6pM7ndnmu1Zq8jyovbE86dMwvaDkuDtmWQ88QMO9PBKGzLs5Q7O87t4Cve4hW7zWlum64wUDPaMLzjsUKgs92xMaO0fNBz002/I8dadYvaefsry9HIK7lEwJvIb1VTzd9BI7w7UePPGIfjyz6AO9IoFYvH0Uhjz805S8jKUKPD4fGD3o6jU9K67lvPc4M7wb4cq8b4gtvd88Rju29KC8tea+u+twxLzgQzc8fk7Xu24JkD0lpI08UertvAbx+jzer8a8gmqbO903mj1OXW68xrrKvFNEDTsgAru7Mt23vKyEDD3YlUe71E0UPYR2OD0sRJu8KnSUPA+2Ar3VAde8NKiSvOEOErvUCg28aObaPOjqNbxl00w9A+Xduuvv4byiBNG7SVMWvUe277zjQXK9G1n3vLNZv7vY4YS8g/CpPG2BvDvmXTa9+T8kvN+BkryxS9073r2ovAHe7LwA5yI95iiRPLpFir1SgKM78IpDvfcqUbuFQRO974PSvOpwRLxDIv88wqe8vJZRNTv4uRU7IHP2u2FPA72BLgW9E0OCvRlbvDvG/xa8LTtlPJ3q0bynlvw8erpmPaH9X7s26VS9PApFvZRMCb2ssHu8L0nHO3OiLD0rPSo9VIXPPIuXqDxJUxa8kz4nO+XOcb0qe4U9o4pfPNL8Kj2JzhK8jZxUPWK+eTw5BRm8A20xPYR2OLyDuwQ9A/M/vQBY3rswlYQ8I5arPP5ZIz0xIoS7+MAGPaSK37yEdrg7s1m/vE9tFTxyE2i7KSjXO/g/JLu7DiC8g7sEvE7lwbwb4cq7FLlpvKQJ/bxFv6U8LbxHPbmBILzFNDy8ZmkCPf3ahbuCahs85tVivdIDnD3Rbea8uw4gvJ1ypbysP0A9qzoUPUlD77zdr0a6RLHDuZretDy/ohA94IiDPXanWLwnm1c8vAXqvFDzIz0Y44+8EruuOv1LQT3aqhq7VhQUPSRhBr3sSQE9rYSMPYmQN7yDu4S8DRlcPGu/Fz2BLoW9r8y/vKs6FDx4Lec88AnhPGn2AbzNppU80/P0vDHWxryzWb+85E9UvFBr0DuZI4E8V5oivdfakzwUuem8VI4FPA8uLz1SAQa959zTvHSpnTvpYuI8AOciPPaypLyOJCg7UXJBve+DUr0VSK6879aAu+DEGbz5P6Q77nxhve39QzuzYDA9hX0pvcIf6Tv2KlE9DiDNvF6r67w5yQK9JY11u4b11TzGQp66oMMOOT+etbwYzHe6/2cFPYPwqTwZ0+i8WyeivEEd0zsMmr485FiKu6aYQb3Es1m9FcBaPfAZCD0geme9BPO/O/iw3zw26dS6O4unvGJGTbtgOOs8Ph8YvHSZdjyUyyY9pBkkPdpnEz1ylEo8GNyePVcL3rzYFGU8hoSavBnaWby+m58803vIvBRBPb1PZN+6oAaWvDHYi70wyOQ8eLU6PIBcOT0hig684IgDvNoixzz+WSO9+0TQvPm3ULyxnou8ZMxbPElTljuTRRi9JZ0cPc8zlTxTgCM9BvH6PFyk+ryzYLC8BgGiPI+xp7qotAW9HXU7u2jfaTytRrG7gmFlPYb11bxK0jO8Cwv6vOblCbya7Ja8YUbNPHvB17vgxBm7n35CvK7OhDz6PV88hwO4PEgQDz25gSA9FUbpO31H5rxUhc88bn/3PJRMCb7iwlS8PILxOxlirbxN3tA8vgzbPKefsrz805S8dCFKvGKSij2gd9E748lFvc8zFb1WkzE8W59OPTf3NrwMmr68oMOOPEWDj7ylmEG80sCUvPOWYL3+0c88F01avF0sTj1WBO283j4LPQbFC7zHQh691YkqveHLCr038MU8hO7ku2jvkLspsCo8JZTmO9QBV7y/E8y8G1n3vCxEmzxgMfo8SlqHPVKAI7xVhc+5EPkJOjnJAr2/E0w9DN8KPQbx+rxSgCO88pbgvMJyF7w1rwO9xC1LvdokjL1eq2s8YtWRPCWUZjxcNYS7gvApPex+JrskF469pN2NO6clwbz9UjI5cI1ZvPASlzuCcQy6e0mrvLn5zLyLFsY8YsXqu+4LpjvyHrQ7YD/cOp1yJbwheue80ntIvPYzB7yeaW+9jqo2PT2J4jt2Jva7tG4Svez2Urz5RhW9Bw+EPNobVrwoMQ09bgBaPqywez1kzFu9XbShvUlMJbuJkDe8JRVJO31O17yNJKi8kLGnvB58rLxAnHC8G+FKu46jxTysP0C9mCMBPGFIkryUy6Y8DJo+Pb4aPTxjxeo8pAn9u7BbhD2No0U8/kl8vW+Wj7zcMKm8u8uYPXWgZzwxTnM8EjNbvRfVrbsCZsC7xsE7PDHYizxTcPw76/ZSvSMO2Ly9jT09i5eoPHQhSjy15j48Qys1vPaifTxHRbS89zizu5dYJrxuf3e82htWu6qrzzwsCIW7oowkvZgjATwd9h08fA0VvZ//pLx/21a9RCnwPPIXwzz8w+27bgBavMvUyTu1Zdw8aGDMu8JyF70xz1W9hXRzugL1hD3BoEs9Qiu1PDZxqD0kFw49/Lz8vAPlXbocdwA9uogRvVx4Cz1kzNu87IUXvauyQLxU/8C7ft2bOmC5zbyI1QO8A2T7PBfMd7zMY468RClwPZPENT0fgx28MSIEvaGFMz2x2qG6NngZPBx3AL0ookg9GNwePd0u5Ly4AoO8Rb+lPGC5zbyZ1f68UeptvTg8g7wLk8081VSFvSMXDjzeLmQ8AvWEu1YLXru9lK48XjowPFXRjLx2Jna8YLnNPF46MLyZ10O9ekI6PcEYeDwDa+w8dq5JPC/RmjqlkdA8m6mPPZtkQ71V0Qw98ZG0PMvUST1gP1w7G+FKPGNUrzwH+Ou8jiQoveppU7wQJfk7+5CNu3CNWT1ix688ft2bPPKP77wQLi+8e8HXvAJtMTzk0DY82A10Ovo93zwvyqk8qiP8vPlGlTtTcPw8qyptu/ai/TuzWT+779aAvG5Mlzt3PY47At5svH9cubxV/Xu9ZFugvLoAPr1SebI8IxAdvQbFizxJFwC9xLNZPSaU5rySApE8+j1fuzdvY7w9mQk7qvcMvUhMJb3bsQs9FD/4PJ/4Mzzvg9I6ukWKvamkXjwnm9e8Of4nvIZIBL3gPEa8gNTlvGn2ATsV0IE8PApFvFX9+7ya3rQ8PILxvOTXp7v9yl49qJ1tvdqjKbzAqYG86mnTPBvhyjw397a87gumPCYcOr1AnPA8RPYPPEY+Q7rl1eI8stFrvC/RGjzdqNW8H4OdPBIz2zyrKm299rIkPVufzjyWSkS9VQ2ju5K2U7wWVpC8ae8QvVaMwLx6Qro7ZlJqvYHix7zaG9Y8KbAqvJgjAbw38EW6a78XPPy8fDtqdR+8Td7QvESxw7vWCEi66GsYPJtkw7vynxa8NWNGvOFDNz1BcAE92m4EumhnPbxgP9y8OXZUPY+xJz0/H5g6m+wWPcziK7zU+uU8oMOOu2zy9zuGSIQ9KCFmvKmrTzwGxQs8CyKSPWrtS7wbaZ48U4cUvHxXjT2MHTc8FUiuPMjILD3iURm9ebP1PJS9RLvWCMi5MBsTvbHaobt1L6w8Y1SvvDuENr2swCK9zmFJuywIhTyxyno7U4AjvbRX+jsHh7C8RooAvUavfrv1pEI9EzpMPKUXXzq6y5g8fMjIvH1HZjxT+E+9n37CvMpMdrwrtxs9Ztq9PHiAFb3zYwA8mCMBPDj+J71r9Ly6DKGvOUIrtTyssHu9ytaOPXb6Br0XVEu8uHO+vH6hhTxZqAS9RTDhvB32Hb0Lk028EDUgPTyC8byEdrg7FUZpvdaQmzwD5V29zukcvNwpuDxbn8681oD0Osm/9jzzHrS9G+FKPUBpkDq/E0y9rhEMvFykejyNG3I7m9zvPEOzCL0VRuk8K65lvXauSbyJAfO8vxPMvG4A2jqJkDc8zFpYvAqcAzrQ51c9h3tkvQ0ZXL3Qb6s8Qyu1u1N37TpQa9C8oxKzPdQKDbxWC1682OGEvNwwKbtxlEq9TddfPQcPBL0A13u8u9IJPbKeC7wKGyG9E8KfuhEzW7wm5xQ9uo8CPQiHsLqb4+A8JpTmOWJGTT0RPBE9AvUEPGXTzLzqd7U8PpDTPF6yXDvAqYG82B2bvWLOIL0SM1s9LcM4PBppnrtYmiI81QHXPDj+J71J0rM6ErsuPQyavryG/EY8hwopvfEQ0rwjj7o8NKgSPGJGTb3FNDy6s9hcPNUBV72eaW88fUfmvPGRND3QOoY8xgaIO59w4L0/D3E8kq/iu7ZsTTuTCQK9jiuZPJdRNb2jC8K8XDUEPcEYeL0OmHm84UooPWx6S7ksCAU6U/jPPFwlXTxWGwW9yc8dPWTcAjw0qBI9gmqbu17CAzzwisM8ZNNMuzl2VLyLl6g8zGOOPPYzB7zXD7m8owtCvXQhSj32siS8h3vku3/dmz29jT08m7AAPdwwKby6eGq8sUtdPMGgy7tO7DK7IgksPU7sMjzvg9I7g/caPcDll7t6uma8esMcu1YLXrxBpSY8Z6WYvJK/ibxM0O68QGkQPUW/pTvGOy09u4ZMvZ9wYL1rbOk7ANf7uzl9xbwX3J67OvXxvL6ULr0Z0+g7YEiSO515Fr27/ng8zemcu2ZpAjzHOWg8mV+XPZVD07tCJES94kHyur0VEbxYEk89GeqAuxbHS7w4/qe8pZFQvCECu7wC5d086nc1PVqoBDxo32k8kTBFvUEkxLuPImO9UXJBvc7Z9bwe7ee8Y8VqvTj+Jz3+HY29ebP1O5nV/jxGigA9BQGiO6IEUb0QLi88yMisOtA6hjmvVJM8O4Q2vcDllz1pMhi8MVepO969KLvQbys9VQ2juw6oIL3c9BK97/t+PeRI47y/kum7VQ0jPFmohD21Xmu7ChQwvH1H5jwzZQu8ftaqPIaEmrtvj546Dy6vvLsOoDuxS109XKT6PGAxer3JR0o5HkCWvWfhrjyRqHE7+j3fvDBQOD2OJCi9bn/3PA4gzbwY3B69ChQwPLrLmLyffsI8NzyDuncmdjvoYmI8lZaBPM/g5jwV0AG9G2fZvEIypjutP0C87gsmvXo7yT0csxa99rKkvFKAIzxCMia92hvWvId75Ly/kum75NA2vD4fmDwffCw97UKQO/5Ssrz8w+28/dFPPMOurTs+kFM7JZ0cPQZ5Tjyb5SW9+DizvPEQ0j0PtoI9Rq/+O2xzWj3Jk4c9KSjXvPWkQj2XUTU9zekcPQkNPz3d9BI7AOAxvbqBoL0b4Uq7iNWDPPACcLsCZsC8BHQiOw5sCjwllOY7OwNUPLRuEj16O8m8A+VdOpXLJrw16xm85aKCvRdNWjyxS908A/M/PDXi4ztTRI28QR1TvOZdtrxGioC8EzrMPDXi4zvRfQ0834ESvaCFszzz6Q48aGBMvdWJqrz8w+26y9TJPH5VSDwTwh89xDQ8O1UGsjsXXYG7NK+DvMU0PD2StlO9iQFzPTh2VLqgBhY8oxKzu+bVYjrDJto8RYOPPOp3tTzyXI+8RjdSPC1LDL1tAh898AlhvLf0ID1IPP67FD94PecvAry6Jjc81VOePIKkML3BGLG8QcuwuttFGD2l68m7gqQwPUa957xsM/85b5hBvW4Ehzs9bTQ8MLj7vKe1SDzOF4c8fRBwPbKgAr1y9r08AyGvu4f7ZrokCsw709oCvbBq+7zz3oE8du86PDh09DvJA2U9JjnKPBkmGzwChms8fHw1vOnzirsjpUy8OA+4vBpVmbx9RrS6z5DfvBCFhLqZopm7y5divFaa2DxJogs9n2UVvfNDvrf1ofe8S69hvBfBG72AdTI87htDvLxVtbtpQQu9vYSzPapJRjopMse8p1BJOz2cbztgVpS7vp+VvUbzK70uxge9iGCpN9qq1LzHJQ29M4I9PKgaSDw7o7W8LZBDPOOcETtRw4O9FpIdPRO0Aj3NK2C9A+utvKnkRr0mnsm5zysjvfTXO7wl1Eq9eeg3PGh3jLxhT867kRyiOy4k/rz1oXe94gFOPWcSjbuPHF+8IXbOO+8U/bzH1Oa8znyGOXGYBD38k7S7xUCsvHroN73p8wq9FotXvA6MB7xmd0k8LSuHPUC3FLqwoL88cva9vEjs5Twy53m7f6RtPYUxaLybNtQ8D2rfu12MUj2xO8A88UoEPXD2ejywBfy8AfIwPRXjgLxm3Mg7bmJ9PcfADTxscAk9O9k2PVLXXD1s1Qi97IcIvQunpruKWWM8TK/hu4mP5LyglBO9vToWvRHqgzziAU68PDdwPL2EM7yjvEu8csD5O02biDzp84q7ZOPLvKXyjzzRq4Q7rHjEvJXfnb29ujQ9DgXgvFb/Vzw5qri8k0ugPPia9DxvmEE95JXLPFbQHDzYsZo8l6mcPHeDdTxXmpu8AY2xPcEYMb1W/1c82UVVvMCzMT28hHA8khVcvfbQdTxwMwW9aEFIPUSOaT10LAK8DnElvZgOHLwTmaA8ydQpvSaeSb2EU5C8h0wNPWCFTz0AKDK8//HtPJDSBL3gN0+7r3HBvOgpDDy+Tu88radCPIrFqLyTS6A87FHEPEq2p7vfbVC70SRdvXkDmruFMWg9yzLjPA6g4DxxkT691R1aOs/1Xrxm4448SrYnvKgaSDy2LTq87xR9uzv0mLwtYYi8zGHhvPVyPL0MQqe8/PjwPL2Es7yBWpM8Y37MvN9tULupUIw8gaQwvJbY1zxqcMa8uVy4O/JDvjxsn8Q8bs5Cu54vUbzC/RE94G2TOi5aQrx5npq7W8LTuznFGr1cJ9O7dMC8vGBWlL0XXBw9isUoPYVnLL15svM8d4P1PK1Cw7zDdmo7insLPY/tozzzcnk8vR+0vJjYGj0Lpya8MCRBPS/1BTs4Rbm8HE7TuxJj3LzP4YW9sGr7POGczjy3LTq9uVw4PDHuPz1K7Cg9v58VvHeD9bzVglm8wRgxvVvC07y2Yzs75fpKvX8rFTwOcSU9xEDpvC5aQjxfu9A8v+kyPQp4KLyxO0C9LpCGvEwUYbxc8dG7ifspvXAsfDyCCTA9gD+xO80rYD2WDtm8lkSdvA7xBr0nzcc8zvykOiBHEz3LuQo9ucG3vGqmCr3Ib6q6koEhvQ8FIz2MWSY9maIZPVhkVzy8hPC7mtHUPBfw1jwhRxO+9aH3vB590Tv0DT260UaFPBMtWz1sM3+958SMO/z48DqRnIM9t1z1vNH1Ib2S5qC8hR0PPBnwGT1v/UA5xtssvBAghTzdPtI7sjR6vE5KJb1u/X28sTvAO9BaXrwAV209h8yrO3CYBDrNxuA8zhcHvcQRrrxMgKa97+XBPAK8rzuNdAi9p4aNPEL6rrsMQqe8ulXyvG0ERDyVFZ88eIM4PcDOEz20Y/i7je3gvFzxUbzOxqO8P1KVPP7CMj0w9YW9X7vQPIxZprySels8ALxsvRO0gr0rK0S9ciy/OankRj1RQ6I8/F3wuzSCvTzf2RW7AVcwvQd/qzqSsNy8hFMQO7PPPbxeVtE8gm4vOsBOsjyPbYW9wE6yPAgT5jyQgd48VPKBO8B97Tw7ozU8PCMXvRfBm7y6QRm8gNoxvYB1sj146PQ8ebLzPOkixjwnOY08RvOrvEhR5bstkMO7x28qPVf/Vz4EBhA9pfKPvJk9mr184TS9SYcpPEtsCj2sp386je1gOpBSo7zEdi29rwV8vL3VljxDFZE7AoZrvU5KJbvuG8O8TBsnPczNJjxopsc85sTJPMFHbL2V3509UjzcPDC4e73+J++8eZ4avC4k/jwW9xw85fpKvCjNR72nUMm8Y7QQPayuCDxSPNw889f4uz6cMr2COOu8SL2qPFUGHju3XHU9IHbOPAmuKT0ISao7O48ZuzhFOTzV7h48FeMAvabryTzXHZ08usE3PP7CMr2gXk+8i6oJPXIsP73nKUm9jT4Hvflk8zzg0s+7oPlPPMzNpjzf2ZW8nABTPWo6Rb1ewpa86odFvTcP9bxJtuQ87q99PQxCJz0R6oM97OxEPXi5Ob0AV+08jPQmPdH1Ib3jZpA7tGN4vE2biLw4Rbm8kdIEO0+vJLtd8VG9tP47vUKVrzwuif08uCZ0vTh0dD0cH5g8TkolvdH1obzdPtI7c/Y9vMZvZ7tWNdm88UqEPOnzCry3wXS84dKSvbE7QD1XyVY6jYjhOweajbu59zg9UXLdPHIsP73VCYE8qRoLvD8cFL2yOwO9U6FbvfY8O7mJj2Q87q/9PK9xQTz2Bro6VPKBvXVU9zxwkfs8eE10vCB2zrwOjIe86r1GO92qFz3I1Km7gAntPBb3HDzvSkE8UQ2hO6sTRTzLHgo9uos2vRHqg73RWqG7oijOuodgZjxLUSg9LMbEPAxCp7t2iru874AFvdkWGr0ZulU8eB65O726tDxQDV48uVw4PB5OFrsbhNS8f6RtPO8U/bzVCYE8lZWAvKtJiTvVglk7VZpYuT8cFLwuJH69VAZbvae1SDu6wTe98ah6vOoiRr30PPg86r1GuykyxzyHYGY7SNiMPN4IUb3v5cG8yNSpu8J9MLxvM8K7rHhEPVMogz29HzQ8LMZEvZLmoLssWv87e7I2vQ47JDwyuL68oZSTO6lQDDzOl6U8ehdzvQzCiLw7bfG82g9UPDNTAr05qrg6Za3KPXmy87yqtYu87ID/u7TPAD0IeGU7BX9ovY2+JTz9wm+9BbUsPRxO0zz8k7Q7zvykPHHHvzxkfo88X1YUPXsymDxumMG8RPPovK0TiLvVgtm6gjhrvaIozruhXhI8ZtxIvNPu27wQhYS8tTQAPTLugr1/EDO98UoEPAC87DvFpWi8EmNcvL26tLvdqpe8iGCpvLuLNrvJVIu8O9JwupBtBTzdo9E8UQ2hPPPX+LyXqZw87htDvNEQBDxhhRI9+TW4vGMZzTyIFow8S2wKPViaGz3Rv128zDKmu/oaGb1C5hI8i1ljPdS4Wj28H/E8d7m5PFqTVT1YZNe60EYFvR2El7zPkN87RSktvD1ttDu2Yzs7Y37MvK6nQj3nKck8uiY3vOGczrwgEU+8f6TtPBCFBLwcTlO8F1wcvc/GI7v+XTM8t1x1O1YGnryH++a8TkqlvKpJxry7Cxi9R3MNOwf/jLlwM4W8l6kcvLkmN7shrBI9Es8hvZgOHLwmOUo8rXF+Pa+g/DwT/h+9zGHhPG4Eh7z+rha9dh52OiHbTbx8q3A9hZ0tvYcxKz2bbBi8T0Pfuxm6Vb2I+6m8puvJvJapHL3qh8W8LZBDvLyE8DzVHdq8rULDvLE7wLwYwZu6zvwkvQOGLjw2RfY8NoIAPDh09LvkMEw9Mh0+vbGgPz0MXYm8JaUPuhMZAjyHMau8jA8JvdS4Wj0KeKi8FMiePPY8u7ypSUa91+ebvNsPVL1cXZc8r6eFupNLoLxmrQ08gJAUPQoTqbzG2yy9ufc4PRhVVrzUiR+8BOutvbctuj1AATK6Ql9ruk9D3zxqcMa8hTFovDWCAD0NjAe9i48nvOX6Sj296W88uXeau/MNvbxOyoa8K2FFPQ47JLyWc1g9CGSMO9SJn7vEQGk97oBCPXz8Fj2wBfy8N3u6PKPyzDroXw28bWlDvcBOMr36tZm8eZ6aPXbvujw14PY7WDUcOwZrjzzJioy8z/VevM58hjuURFq9h5aqvD3tFb3w3vu8/l2zOwgT5rnPKyO9O/SYO4UCLbwOoOA5U/IBO4y+pbzttsM8F/DWvNp7mbu6VfK94pyRO8/hBT1od4w8SD0MvRX3WbxFRI+6i77ivAS16Tz7/za9ThSkPPOoPT2xoD88+f9zvE5KJT1AMO080lohvXTv97tU15+6n8oUPXIsvzv8yTU9zsYjPPXXu7qKvmI8eZ6aPMrNY7w3qnW8Ds/evHNbPb2MWSY9vk5vvMiKjLrJ1Ck977YGPDBT/DxXmpu8YbTNvPEUwDv6UJq8gJAUPV5W0TwVXNm8Z3dJOVjJ1jvmX0o8cJF7vOdfjTq5dxo8mKLWvJ2bFrsOjIe80EYFvey9CT0OVoY8JwNJPRSSWr05PvO8DgVgvLpVcrtVBh699Wt2PEyAJrxWNdm8jdkHPT3tlTsMpya9KyvEvAeaDb2K4Ao9BFCtvLummD2LDwk7LGGIvQ1xJbyyOwM9bs5CO0R6kLss/Ii88Xk/O5NEWjzZRVW8inuLOM8rozyY2Jo8kFIjvGpwRr2YPdc7PQg1vb/pMr0StAK6Ql/rvO6v/byYPVe6DdYkvbT+uzy2kvY8cMc/PM8ro7y4kjm9tDQ9O85hJDzRkKI8o40QvNl7Vr2W3x091+cbvFB5ozo05zw8xKwuO8jvCz0w7r88dMC8vG79/Tw7CHK9Uo0CvUqA4zxLtic99tB1PLLPPb3wr8A8x55lvAjkKj2PbQW9RiJnPMQRrjqa0VQ801NbPbI0ej1RDaG8Z62NvCrNCr0aH9U8adwLvFENoTw6o3I8g53quhbB2DxUoR69swUCvT1tNDxK7Ki8C90nPfMNvbuYota5nWVSvS+JQDwnOY08Y7QQvVS8gDz6UBo7lN/aPK8MwrzOfIY8OOA5PLTPALwLkwq98t4+vSmXxrsy53m7cVv6PIwjYr3qvcY8OEU5PH6rszwMDKa8VTXZu/5dMzzjnBE9rKf/vDLugjx4TfS2DQwmvQPrLbxaZJo8OdnzPCQKTDyhw866TkqlPQuTirwl1Eo8krBcPYDT6zwZulU9UqihPPPegbwbhFS9BBppPRCgozuDOK68IHbOvPhrubqof8e8h/vmu5DSBD0/NzM9hZ0tvPIN+jyemxa9SgcLu2hBSL1lSMs8bmL9PFQG27o52fM7Muf5vFb/17z7/zY82BZXvPqaNz0V44C8tZk8Ox590bwX8FY9NIK9PPfQ9bwBjTE9RI7puw3WJD253Bm9ofmSPfcGOj2K4Aq9FUgAPdEk3TzcdNM8QZVsvf2MbjyVMAG9exe2PK5Chjw8I5e8x9TmOz3SMzstkMM7IH0Uu4ixDD1YyVY8JQoPPYHT6zsX8FY9tmO7uhTInjzzeQK8hNaaO0rCmTwv8qq8S9BdO53YxrtqBSq8lSG7u4fjXDxdlpA9Fc4JO8w2Pr2viki9liA5ujsd2jsjPaO7FPEAPRWrEj0dttA7xcSeO6KQ1LwcLXq9a4+CvCmwxLwlgQ08rhShvRNFs7zLN8C6KvQuvPBV1TuBPwA9fOjmPGuPAr3H9Nc8oRsvPNl1Hr1L5I62OlSCvcCzczyufIS8wcYiPAkFUbz5UU29ibEfPfOZP73Hw5y84XEWvbu197vGsO28MyFivWVNnLzTZPO7La5AvIO0pT0PjCO97eExvYVutzwdtlC7TAYEvJVmp73Vd6K8awUqvSmwRL3fXme9ug6VvQ94cjsoJ2489sl4vFBXMLzbdBy6TMGXPJ1in7yrjEw8Yn/ZvCIq9DxbyE29ihiBvOdaX7y3QVQ8a8A9vYiecDtnOGm73C4uPRLyAj30RY08TZ4gvS2uQD1Rzde8DUg5O7uEvDwlgQ29yGr/vCyuwDytFSM98EcRvSf2MrwrOZu8fh4NPIKh9rzWmRc9vcimPLFE2juqFiU9AsNqO9TfhbwbywM7bTVjvcvyUz2oBPg7cmmFPTgQmDvYYu889VNRPXu4rTwa/L47DvSGvBlCLTyVZqe7n2GdPCmwRDziXOO7w8UgvC19hTwAQIE97kgTvNDhibzBgbY8o0vou1PgBjyrjMy8T7+TO2jz/Dx07XC8hrIhvEMZ0jsVRLG8T+KKPCyuwLwf+rq7LX0FvSeAi73/HYw9PNjtvDgQmDy/DBG9p12VPZkfN71ePfM8a8C9PJeW4DxaP/c8EvKCPLvJKD2xzjI8P9ZpPXbsbrx1AKA8Y8RFvfRFDT2P8wW8oZFWPdul1zq8MAo8kmcpvG++ubyJsZ88I4KPvHW7MzqZhhg96koXvX/nZL3Tqd88lyA5vfxBBb0n9rK8MSLku5DQjjy+tHU7nU5uuwGTsTwHGoS9URLEOp3YRr1REkQ9yvJTvKGR1rv3yPa8E8+LPEwGhLwmXhY7AvqSPKeOULxq8nq81qfbPDM1Ez1R4Yg8EYuhvEMtg7z9T0m93Bv/vEehJr1fxkk7Jfe0vD+lrjrlFnW9M2bOvMfDnLxwJZu9QJH9u63QNj23EJm8F/7CvKNfGbyGn/I7YraBPXV2R7042nE86W0OPZ+S2LuI4to7a8A9vB/6ujwlPCG87kgTPcX12Tx27O48ucqqu+8R67tadZ28gqF2vLSHQrtXD768sohEPBGLoT0Tdm68PWFEPRf+Qr3x3627QaSsPAKSLzzrbIw8mZXevJMivbwralY9IKYIPBNFszxjxEW97ZxFvVS9j7xFoqg6/k5Hvd/oP7y1/ek7B0u/vLoOFT0zq7q6OzGLPAwDTby0h0K9H4STugp7+LyUU/g7I/g2vJbNCL0Dkq88uQ8XPc2s5bzpbQ69K/QuPZJUej1/tim92mHtupuU3DtrNmU9aZAEPfFV1TmA+hM9U5sau3BHEDxXmRY9K2rWvAbB5jwqXJK81XeiPMkHh7yI4lo8E8+LvIknx7z+QIO8J4ALu4WzI73Lrec8ls0IPRhzaD3FxJ67+x8QvZlkI71wR5A8ibEfvnsuVb1362y7l5bgPLCJxjqFsyM7N+6iuUYJiryHbbW75VvhPAywHL0dQCm9i2sxO8+rY7xF5xQ9FqsSPHl0w7u/gri8fh6NOwd8+ryaYyG9geZivcrkjzwQrpi7XVEkvGQ567z/Cdu8QpD7vPfcJ70NjaU7Cnt4vdaZF7yOmui6K2rWObGJRrwnOx88U0J9PCs5mzyhghC9yTjCO4ErTz19cj89ycIavakXJz3OZ/m8AgjXvPchFL1XDz49L60+vWhuDzzN8dG8wrJxO6SPUrwBk7G8QRpUvQOSLz1xAqS85ymkO8P227s03PU8tjOQO4G1p7y0NJI871bXu/sfkLwiYBq9P+oavFqD4by/Pcw8S1q2vDHxqLwPAks9KTqdO+meST19cj+9KyVqPa1G3rz4/hw9uVSDuyCmiL0Dkq88pknkPHrpaLxyd0k9hBsHvdlh7bz8/Bg84JQNvZeqET1HXDo+LTiZPDYRGjwYuFS9A5KvPAfBZrur0Tg75Bf3O9+3BL3NNj67BX18PH1BBL3tawo7x8OcvO4Ra7xSQ/87zGh7vA8CyzxnwkE9E0Wzu6mNzrxOwJU8ZvT+PKoWJTw5Y8i8wcaivC+tPrzyD+c8v/jfPLURmzsPjKM6uvpjPNulVz3sJp48mWSjPD4bVrwcLfq82boKvWvAvTvXdiA8VEL9PAKSL7vFKwC7Naq4vF2C3zyE1hq9P2BCvOdaX7wGfXw2XVEkOwDF7rsvfIO7TgUCvOudx7xYuws89pc7vIfj3Lx6c0E9oktoPJuUXDyxicY8s0PYvC7fez2wWAu8ZvR+vE9YMr3UqF08I27ePP8JWz0OefQ89sl4PeOhz7tTVi698sv8O2cHLj3WmZe8GrdSu1498zxxAqS9Mt13vSeAiztHoaa8qX6IPBGLoTxD6BY9i/WJvPEQabxXuws9U5saPStqVrxfgd28bwMmvErCmTsLSTs7/k5HvXECJLwsW5C8OWPIvG8DJr1pSxi836NTvD1hxLwdtlC7GamOuv5ORzwwWYy9nhwxPIKhdjxy7nI6q4zMPIO0pbyqFiU9526QO0+dnjz1U1E9nxyxPHghE7zV7cm8JYENvQvTkzw1qjg7LK7APLgyDj31DuU8uQ8XvYTWmjzvEeu8W8hNPT2mML2VITs99Zi9PIoYAb1K0F29Hyv2PCcnbj2TIj28L62+PJ/XRDwBTsW8bwOmPFKbmjyqfgi6072QO41qL72pjc68ZcNDPYVuNz3526W8BPkQvUBfQDzpnkm9BUzBO0XT47zuVle9d7qxu0BfwLzrJyA6xOeVuyyuwLzvaoi77ZxFvT4NEj0l9zS9Z5EGPXcw2byZ2so8B8Hmuy3zrLoHS7883Rp9vMl9LrsFTEE8M6u6vAJNwz2RaKs9nxwxPZNTeLyrR+A8GLjUvDkyjTyuFKE6ibGfO0GQ+7ltek898VXVugu/4roOR7e847WAvCkmbD3Zplm8Dkc3veAsqj3F9Vm9/dkhvR+1zjyO0RC7FrnWO+viM71cuYe8Naq4vGc4aTxitgE9TAYEvYUpSzzW3gM8mR+3PKcYKbt2ZwE9nIUWvTM1E72SmOQ802RzPDmotL0oXZQ7zcCWvB+EEzzxEGk9pknkPDxTAD33DeO8dHbHu4JvuTsFG4a7MXsBvc7ii7yzV4k81N8FPXjr7Dw37iK9Gf1Avc2s5bvokAW9zDY+vEQKjLq3/Oc8qdK6POOSCT0OefQ8z78UO3S7szw2VgY9d3VFPXwt0zzwVdU7UkN/O+tY2zrXMTS850sZvKgEeDwnsUY9K2rWPG5IEjzglA08rVqPPIuwHTvDO0g8wPfdvAeQKzsNjSW7V1SqPEbEHbrGwxy8SdHfOz0cWL28MAq9/U9JvRCumDkrr0K9P2DCu1q6ib2nooG5d/8dupeWYL27hDy9j2ktPJNT+LwORzc8EPOEvKOkhbwiKvQ8/5OzPDljSLz9lDW9I/g2PIdtNbwQrhi9+x8QPU6KbzyuWQ08mWQjvcw2vjwXL/48vflhvTfuIj2d2Ma5J2zaO54csb3D9lu74ysovTPwJj12Z4E8urb5vEEaVLvBgTa98Mz+u/cN47zBgTY9rItKvd24Bj062e87noSUvKgEeL0lPCG7pIEOPME8Sj0LGAC9pI9SPfNUU72Ul2I8ntfEut6jUz0HkKs8/x2MPAkFUbxduAU8b3lNPCBhnLtN44y8I/g2vVeZlry/gjg9RRhQO3Az37sVRDG8hW43uzMSHLrfLSy9h+PcvE8TRj1fxsm7X8ZJPCGDET2/PUw9fLervHJ3yTwmXha9W1ImvI5WfjzblpE8O6eyvJcgubzjXOM8TIvxOt9eZ71VVSy9FHVsPJ7JAD1tvzu7ZDptPcf0V7pH5hK9sABwPQOSrzwRAUk9BQdVvUehJj1Ej3k9wYG2vGcHrrrCsvG8CUq9vJ6EFD3ftwQ9PescvdV3IryW20w8o0vovGdMGr29Ps484JQNvY5W/ju6+mM8SsIZvc0FA7xZhOO8WYRjvMA8yjsVdWw9cwGivGVNnDyWiBw7MKw8uT8b1rs3qTa9OR7cvckHhzwPjCM8E7vaPGGUjL2y/us8q0dgvNVjcbwFG4Y7IGGcvZ3JADxSh2k9oIMSPbJ6gLxtv7s8J2xaPX1BhL2bqA08PZL/vF+B3TxBGlS8x8OcvBEBSbwcqIw8HYUVvZCZZjl/tim8rQFyObND2LyXILm87lZXPRu30rz5IJK8Sozzu34eDT21ERs9JKQEvA+MIzwvrb45b765PAoYALv7UEs8wzvIvF1RJD3joc88CY8pPAu/Yjn5lrk8hCnLvF0MuDznKSQ9/ZQ1O7uEvLsiYJo9Z8JBu65FXDxpfFO8WFMoPW4mHbyrW5G84SyqPFVVrLx8pPy8d/+dvCSkBLydk9o8L2hSvE1ZtDwM9Qg9WED5u4+umTx/52Q9dDHbPBtBK7uti8o8s0NYvGhuDz2Zhhg8HYWVPNtg67zyRg+9V1QqPFGcnDs7MQs8wOmZPePmu7tjCTK9La7AuzunsrxpN2e9DvSGvQlKvbyiGq28sYnGPDRXiLweP6c86JCFPO5IE7wC+pK7O6cyvUYJijqfkti8qUjivHnq6ruR3lK9WFMoPZjMBj3dcxo9+v0aPP/E7jxzAaK8ZX7XPP5Ox7wL05M9uVSDvBq30rpYQHm80uAHPQZ9/Dz1DuU8wi0EPeNc4zwNrxo9kyK9vPVngruuN5g7YLeDPNF5JjpYQPk83aTVvKsC9LyD5eC8h+Ncva8AcLyt0La8L/KqPBhzaL0o9bA8+SASvAXCaL34Qwk9cTNfvS3zLLyqFiU8Tc/bO3UxW7x/+xU9ISp0PdRkc71Nz9u7MzWTPD4bVjwQ84S7cTNfPUXnFLwbcua8+dulPLQ0EjtKjPM83aRVPIX4DztTVi69X8ZJuxZDL72TrBW8YYDbPI/fVL0VdWy7+1BLO6bTPDyF+A+8LCToPO3hsbwDw2q9c0aOPNmmWbwrJeo8cGqHPF64hT0g+bg81WPxPO5IEzy5+2U9RY53PI2b6jwp9TC92JgVvW8DJryHsqE8RV28O/FpBr36Qgc9+x+QO4rhWDxDXr48HcqBOeOhzzx27G4622DruzsxC7zEsW+9Nx9ePWhuD70Lv+I8GXPotnpzQb1gtwO8JYENveqPg7z1IpY8nU5uO7a4/bszZk69KlySPd4afTqPrpm8mR+3PLeGQDt3MNk8/dkhPEUY0DwDHIg9F0OvvJ6EFDzBgTY98cv8PIfj3DtOztk8Ouyeu04TRjwdLHg8jyTBO6eOUD2vzzQ93aTVvA+9XjqSZ6k89Q7lvKCDErwzNZO89d0pPGUIsLwBk7E8jWovvOPmWj0hvYU9xtsCvPKtJ71thnW8RayGvGj3Cz3Y9YQ7oUgGPDVNgbzodsm7q1ygOzteJ7zoawu9AkZtOzeJtTxT2hU9uNrwPNQ3FLr1DKC8Pr0fvXmmUr0A0HM9ci1lvGs+frxrVgS78sQou7mVbToUPjC8SiRvvBL2OLxNg+e8az7+PMFW0jv2ghm90sGaOylPY7ycuBc7U7fRvPQ6Ij2c5hm9RAiLvDIFCj3lxJu7+oUNPL4lXL0NOEg78Dcuve+TMjye9Eu8/Z79vFFYWbouJFU9kXX2vIBQNr1XukW9wW1TvV+SK7yZTdy8f364vDFhDr0eoxA9tZL5vFSJz7yMK5A8n7sLvMkuODxJl/Q8bkHyvKbjMjvGCYU8F28mPKeHLjwqOGK8Mu4Ivahwrbpiw6G8gq+uu8b9Qb1SCBg9Vv9IvGAfJj0Xhqe6VInPvCjC6Dz0OqK8dKNevP5xgD34JpW8m9pWvCMEeL0mTO+8g4EsPSdMb7yq5qa8XGG1vOfSTb34a5g8vK9iPcxfLj1X0ca8GFilPWsnfTzIRbm7FuIrPZ1FkrzSk5g85S7SvIKvLrv3mZq6FSevPH7Duzx5M8273j/rOuMJn7uOigg9gfSxvOb1kTx4hBO9prWwO5ZK6DoDGGu7cVtnPf3NhLyzkIo7GBOivLoi6LxS/NS8o5u7vOVFUzvSk5i8birxPN2EbrwSyDY98tspvdjeA70TmjQ8wuPMPPnhkTxXCwy9RB+MPDL5RjyGmyE9MhyLvVIfmT0Lws68OHK0OhENurx1ddy7ouwBu1kwvzwfMIu6+A8UPMOqDD14shW9oIFGvPqcDr2AOTU9tx90vFklgTxYXsG8Rk/9O0XDB7zZx4K72w51PJv9mjzvk7I8zF8uPTEnybxthnW9jCuQvPN/Jbxp4Ao8mXvevJMC8bkmTO887GI8PXltEjsO88Q8ehGOvGR+HjyRdfa8BWDiPKq4JL1dHDI8WRk+OzRYvzts4nk8VVAPO9HYGzx4eNC8DgrGvBedqLyNz4s88E6vPKwXHboK/BO7UWQcPfEgLb2Dgay8X2SpvBhYpbzeKGq8NRM8vRkTIrxHUAI8YqygvXvXyLyGySM9icwXPWHxo7wlevG7YqygPBQ+MLxXo0S8QpIRPXfUVLyZWR+9pIQ6PSvFXLwFd+M8Esg2ve+qM7x2Ate7006VPJjAYb3YDIa9P3icvAYbXzwS37e7RmeDvE/5YLyVYWk98sQovYwUjzyAlTm8VKwTPW209zz2mZo8Al3uOwJd7rwPl0A7Et83PPA3LruHhKA8v+BYuyY1bjwBi/C8qrikO19kKb3ZgXo8w7XKvMC+GTmAZze85KHXPB6MDzyHsiK8ImGBu83sqDxewK28RyH7POGH4jlz/+K8hQ6nO10csj1+/QC9/BKIvEsN7rvCKFA992sYu3r6DL0wppE76Y3KvJiS37sVEC68WSWBvG1vdLxjUJw8YQglPaCkCr0yYY46zQOqvE8QYjxHCvo85lEWPOVF07qf3Uq9oRoEufBOLzyriiK8MvnGvHDObLv1IyE9dKPePHCgar0hjv68aPcLvTt1KL53yZa9TJpovGQLGT2B9LE8ZDmbPJl73rrmDBO9MuLFO3YOGj2sLh68Jx5tvVheQb2XBeW8lL3tPDuMqTyLQpG8O14nvYaboTzwZTC8ove/uwlMVbziQl89+ykJvbisbj3dhO68wijQvDu6KzzBeRY8V90JvT0CI73EWca84XDhuyjZabtfkis9rdKZPDotMTx6HEy8MLFPOjTLRD2mtbA802UWPROaNLwEGGs8Wg6AvGgODbxv5W082lN4PemNyrzDzEs9838lPU4n47sdupG7Ind9vKUoNr0xSo28wvpNPDigNjwuMBi81cQOPTCaTruoWSy9/Mz/u0/54LwfXg08YdoivdWtDb3K0rO8RawGPZiSX700ZII85hfRu5lZnzzZsAE9Lg1UvWzi+Tss8146UjYaPU4n47ySXnW9lY/rPBeGpzsIqFk8AOd0vLTvgr2TGXI8C8JOPVejRL0so508dIxdPj3rITwL2c8676ozvcUrxDzjz9m8gGe3uk/i37zFToi91zqIvDblOTy2NnW96IKMvJvxV7yC3TC8zqelPCcH7Lw8MKU8zRqrPXruSb1Mmui8b+XtOIQlKD3KuzK7nUUSveJwYbw7Xqc8sb4MOfn4Ejx6+oy8BNNnvUjF9rybw9U81dsPPE4n47y+PN26UJKeOivc3bwPxcI8VS3Lu1L8VD2gmMe7CvwTvZS97TyoQiu96vgFvSMb+TzTfBe9JkxvPfgmlbxtnXY9jxb+vL4anrw+vZ87VLfRu5F19jyeF5C8C+WSPSGOfrwYKiM9e8BHOxEkO7x7wMc8q1wgPEciADvC40w75X8YO4XgJL2oKyo9oFNEvHNEZj19NsG8xSAGvSS/dDt+8T09QnuQOoeEIDwu9lI99DoiveRz1bziK9481a2NvS1eGr3HuL483W3tO3IW5DzO1Sc8/nEAPXyeCDx9QgS97Ke/vPQjITyi7AE6tMB7PF7ALb24w288zQOqvNXEjrso2em8ZCKaOVPOUr0gAom9l+7jvEzI6ruMK5C7ogMDveMJHzogAok8vhoevIayorw+pp48uMNvPJ4ukTxGfX+86JkNPV9kqTw5FrA8oTzDPOfSTTsKKhY9MSdJvPaZGryGyaM8YDYnPZjAYb1MyOo76T2JPIOYLT05FrC8yuk0PQMBarzD7w+9CTXUvFrUujx6KI88CgfSuuV/GDxwzuw7gq8uvcb9QTw66K26EFK9uyWR8rz2mRq8F28mvAlM1TwMfcs9FFWxvan9p7ylEbW7OHK0vJvD1Tx4hBM99VEjvZof2jz1DCA9Mu4IvdWtDb0h1Ia8fR9AO/nKEL06uqs8WGoEPJfXYjyujRa9fR9APW/8brymtbC7RyKAPIqHlLxSCBi8bbR3PFSgUDuX7mM9L9STPTRYPz0eoxA7DSFHvI5zhzsCRu27heCku0aVhbwhvYU8MGzMPI3mDD04RLK8BXfjO4LGL7z1OqI9FfksvD1HJr19NsE9sb4MvbsL57zCEc88NRO8vFTxlrzmF1G9U87SOZcF5bzy2yk8OFszPC1S17vEh8i7BY7kvDhyNL3u2DU98QksPEpp8rzR2Bu9nLiXvKE8QzrGCQW8nIqVPHYOGr0v1BM8puMyO0jcdz3lXFQ9x4o8vcxfLj3QS6E8CioWvaObO72b2lY9KNnpvDBsTD1X0UY9WkdAPPEgLb26Iui6BY5kvDt1qL3b9/O8v+ybPF7Xrju8r2I902UWvAoqljxUoFC8RpWFPR9HjDxDNo085IpWPa0AnDqP//w8JZFyvMehvbxVLcs7FsuqvINqKz0TmjS88tspvMRliTnN7Cg8VVAPvPtXC73PpyW8nKxUvdQJErwO3EO7PeshPXVTnTyhSIa8eWFPvV9kqbwMlEw9WUfAvYtwk7y6Oem8EIC/vI8uBLx7wMe9HdGSvYKvrjt/CD+8ygA2vGqEhryYkl88mMDhvMCQFz2Q6Hs8m8NVPD3roTwAuXK8MJrOvHV1XDzcsvA8bbT3PMIRz7yB9DE9/ll6PM95I73jCR+8MhDIOxOxtTl2Alc65S5SPfN/Jb1YXkG6Ai9sPODMZTyHhKC7g5itvOb1ETxECIu8FScvPX79AL39nn28wx0SPClmZDpa67u8PDClPIX3JT0H7Vw8M53CvAlM1Tx9TcK85JaZPEvfazwJWBi85K2avAJd7jx+8b083/pnvDFKjTzDnsk6vJhhvCvF3LxYmIa8eW0Su5MZcjstO1a6gt0wvB9ejbwr89481mgKvQPqaLzvwTQ9L72SPPKtp7o/YRu775MyPekxxrx6HEw9otUAPTuMqbwMiY47NuW5PHVe27yt6Rq9LXWbPHfJljw0WD+9NTYAPOrsQrxX0UY8Jx5tPGQ5mzzEh0g66g+HvM6nJT3N7Kg8n8bJPLKni7zDwY07pFY4PWngiryRjHe9dXVcvWtWhL3MSK07d9RUPbmsbjzEk4s8wW3TPJAXA73Y3f67V6NEPJ/dSr0966E8Po+du3xkw7x0o167Rzh8PEHAE7y07wI8oKSKPAC5crw7Xic95JYZvQiRWD3XUQm9ulBqvW5Y872m47I8Rn6EPKeHLjxYagS9IdQGPS4NVL2gasU7BNPnPEZng737QAo9kkd0PVRyzjyQ6Ps8MgWKPOuzAj2eC8288E6vvIKvLrwxSo08KiHhO0cKerxQhts8eI/ROyW/9DsyBYo86F/IvKCYxzxnahG9ThDiPGptBT2/91m9ayiCvJiS3zyl+rM8g2qrOx51Dr2tABw86THGPCKPAzwPl8A76T0JOwft3LztHbk8Oi0xPTwZJDxPy968E7E1O4///Lyb2tY8GokbPJoUHL1pyYk8BklhPXV13Lu0BgS8EQ06vOfHj7xhCKW9f6y6vClPY7zbJfY87IUAvAh6V72eLpG8Io8DPMhFuTzV2w+6LlLXuuxiPL0mY3A8xULFPb2vYjt8ngi9y40wu9mY+zy5Z2s8WtS6PPwSCD16KI+8EF6AvP2fgrySMHO8ro0WPaRtuT3mDBO6VKBQvQr8EzwUVTG8Ch7TvDuMqbw7dai8birxvMVCRbzrnAG8YsOhO3xkQz16HMw8tmT3OoRTqr1a1Lq8g5itOyGmBD01TQG7fhQCvebpTj1NbGY856TLPHruyTytABw8m/HXvFVQD7t2Ale7jc8LO1Pl07zmDJM8XHi2vDSSBD17tYk9hsmjvIwrkDywA5A7eI/RO43mDLxa6zs9Jb/0u/5w+zzPYiI9XDOzPTigNrxv5W27gFA2vQiR2DwaoBy9L+uUPPpuDD2/A528e9fIPEXDB72hDsG8kYx3vFO30bydUNA7wLLWOijZabxXusU82yX2O+xLuzwy+ca8S/ZsvD9hGzw4crS7Vv/IvG3ieT3Y3gO9NIZBvKX6szg5/y68eI/RvC5p2DyCry497ti1u5vaVjq1wYC7d+CXvJTrbzup/Se9IzJ6uwftXLwbWxk9NRM8O2Haojz7QAo8pfqzvI6KCD3HxAE9jbgKvDt1KD1SCJg9tcEAvcVCxTwg64c7szSGPWtWBD3xIC09j0UFPKFIhr1OPmQ7ImD8PDGDTb1Gff+7SmnyOwZJYb3iQt88Qe4VPfXeHT0tR5k6djDZPIdtH72gjYm85MQbvX0rgzsW4iu9tNf8O4H0MbzgzGW6V7pFvSDrB7z/K3i9DtxDvfKtp7wzqYW8GBOivJ4XED2XBWU81cQOvQk1VD1HOQG8gSK0PNA0IDsowug8osm9PMwxLLzy26m81n8LPSyuWz3JALY6YpWfvGnJCb2Oioi5FuKrPIQ8qbzwTi89oKSKPMRlibqGsqK8gsYvO/nhETyfxsm7Io8DvbvdZD2B9DE7zQMqPVe6RTujdoG7KNq+PO+GAr0m7kS9R/wtvYQx4bt24Dw9Xz0NPYidgbsSLYw5ZDwmvVR6BrtU3NY71oDOPHq4sLydshM8lkwCPUWVNT2Wx4A8epV/O1obQ70KM047p6bCvLOpnLxjRik8f4YhPOwpjbtkPCY9FyylO0jLhbx6hwi8QoIWPI4XGb3lb6I7fXf2PGHVLb0z8R68BG9guwjC0rwT2bI8j5IXPDDs9rwcUuM8MIqmvGQ8pjwKM064fgujvP0vdL1nmRu9VFdVPZH5j7tPMRc9qPCYPWxnjLxOOxq9kaW2OoBZ7bx6My+8mdofvfFPSzzIOa28Guvquv1Spb2npkK995i6u5tBmDorQbc8bGeMu5ADk7srQTc83B2XPKGKhzxryVy95HmlvItmSr1Ku/O7fRUmvYLA5bkIaoU6m6PoPOLhBDz+zSM81DyHvHbgvL2eqJC8y3NxOyfkQbvubdQ8jc3CPMtz8TtEGre7KxAPvLQkGzxTYVg8pbrIPOhRGb0jDE69kiC1OWy/WT1Iy4U83b86PduiGDy5QFY8UKISPRLjNbwIR9Q7ovsCPdKoWj2mNUc9ufILO7jZ3Tz+qvI8NOcbPLVy5TvIOS08G+Hnux802rxSa1s8JXNGvHTDGrxc1hQ9xDARO9snGj1cB728vp1LvYM7ZLwTqIo8srOfvC0tMb266Ii88spJOsO1krzn1po8a8lcPeykC73qlWC9haLcO45Iwbuh4tQ8EPe7vC7yBT3bJxq55PSjOxUder3MjB89+k19vStBNz1Id6y8/bT1O6x0M736TX26OohYu2Mj+DtL1KG8mDzwvAUDjTtnmRu8xVc2PQC6HbySm7M8jpwaPLeBED3E3De81Q9TvWYoIDyv26u7fPz3O61qMD0UrP460Mbjvcg5LT27WYQ8fgujPEQaN72Vfaq7j7k8PXA/AD35Uww8COUDPQIhljzfqzS8QoIWPF39uTyrfja9MOx2vI3Nwjx4IBA9ldEDPWLLKj1gMwq9Y552OUq787zMESE9pbpIPUdQB72qDTu7wfpAO61qML2AfB694ZcuvJV9Kr2YXyG8rmAtPGQyo72w0Si9bL/Zu3nCs72rTQ48UwkLPPvI+7sWu6k8mkubO/Unv7zTI1k9/kiiO63C/bspVT28ooCEvNwdlzxAx0S8qog5vA4Lwrs2ThQ7VznMPMoCdjwIR1S9dPRCvBWie7wP0BY9+VOMugfM1bxBOMA8TcAbPZNqC70IR1Q7wfpAvVobQzywTKc7W2UZPUKzPjzUwQg7VmYAvRQZhrkLpMk6AJdsPPjYDTtGizI8EMaTPMe+LjtlBW+9BtZYPRl6bzunpkK9055XPLyx0bteRxA9bL/ZPCQCyztYL0k8jFxHvYoYALkFZd089axAO+131zyW1Xc9t17fPJkybTtEn7g8sb0iPQZbWr0tLbG71/vMvChfwLz5/zK7FaJ7O189DT0eaxG8kxYyvUQatz1ZJca8LiMuPB5rEb30hZu8GmbpPFklRj0a62q93EQ8vUk8ATzXdsu7EHI6vX2apzuonD89HPqVPUBMRjtDqTu9FUCrOi0tMTxQJxS+iITTvJSHLT1S8Fw9oA8JuwP04TzZ58a8GKcjvQozTjxOk+c8r9srvXyBeb39KwC9JIfMu4Yd2zwue3s826IYveTR8rviCKq8FooBvbEVcLo05xu9xGG5PJVa+buvM/k8VfWEPNliRbyarWu8IhbRvHq4ML2jdoG9RJ+4Peo9k7wn5MG8XIw+vPLKST1lrSG95kJuPX/e7ruOFxk8yS8qPVwHPTzHm/273oQPPHhHNb0SXjS8Mvshu9rdQzww7Pa82GzIPLjZ3Tv2Hbw7Z/FovStBN7rzwEa9mx7nu0KzPj0c+pU8+sQHuwspSzx4RzW9FCd9vRTPLzzCdT+9i2ZKvZdpJL1NwBu8u1kEPPiOtzx7+IO9Fpj4O/iEtLyHE1g99qI9PDbTFb2J9U48egwKvfy++Lzjg6i76UeWvWb7az3RN988PWpPvHVlPj1rcY87deq/vOwG3DwPS5W84XT9PHhHNT74CbY9lGAIPYQxYbwgr1g9MA8ovVVN0jvLG6S8RBo3va+qA72OFxk8VFfVuwukSTx6My86e64tvcuWIj1Rdd68B3SIPG3Yhz3k9KM8gHwePcmqqLwUJ309Y0YpO2S3JL2uuHq8YlAsvWziijxDJDo9yqAlPMNrPL3lb6I6Tw7mPO1317vEYbm8YyP4vGWtIbtH2fy8qog5uylVPT1W64E849t1u7tZBL1oj5i8+tJ+u+c4a7ybQRg9Xf25uhsEmbw7HIU8gFltPYpwzbwd8JK8+XoxvMuWIr2GmFk7FhN3vQ6GwDz7uoQ813ZLuPFPS7zfJrM7h47WO2JQLLykSc087fxYvGCuiLuXRnM8qPAYPWpY4TiFolw9a3GPO0nF9ryzhms8yQx5PeTRcjw4F108QyQ6vK60Br11uRe9MIqmvAm4z7wAEmu9EHK6uxa7qTlhpAU78spJPLbtYz2bQRg9tu1jvRMjib095U09gztkPDDs9rwc+hW9TzGXvHyBebxyCMm4yQx5vLDHpTuIpwS9XkcQu2liZDr5U4w73ES8OUaBL7yYwXE8UATjvPQxwjyhBQa9ge2ZvK9WKj1/hiE85cdvvIFPajyXRvM8St4kvf3XJj2TFrK8N8mSvJwUZLwvcXg8w2s8PK05iDwG1li9llB2O2ziijxqWGE9Hj7dugukyTzDazw9LS0xvORW9Ly5Stk8BOpePePbdTz8Ofe8AY3pOr4YyjvUwQg8WuqavJm37jwp0Ds9haLcvCKbUjy7NlM7gFntuviENL0H74a8fPx3PN+rtLmA1Os81JTUvDTnm7yCRWc8bTrYPK2+Cb38OXe98U/LO92/ujzJh/e8RZU1PR+5W71BEZs8CdsAvCZzRj0S47W8yAgFPHnCMzzx1Ey95r1sPMeNBjzKoCW8t4GQPNUPUz0l+Ec8SW2puy38CL23Xt84iAlVPC0tsbzlb6I8xpcJvZhfITxMLG88HmuRPN2OEr2+GMq8mVUevEBMxrwkAsu8ZiigPUbfi7wQQZK8JXPGO00i7Dydj+I84RItPHN5xDzHQ7C89Se/OxItDD2UDK+8jc1CPenClLyuYK28x0OwO3ggELwl+Ec8/kiivbDHJTyJnQG94VyDvTx0UryFJ947HmuRPDic3jyKGAA9SUp4vW5Thr0JuE+7r6qDPPaivbxJwYK9E9myvH6QJLyRKri7c/5FPFc5TDxblkG9qlcRvGE3/jyg7Nc8HFLjvKoNuzyPPj49WapHPM5VaLw3RJG6TcCbvLlKWT1yg0c8SUr4PCbuRD0Yp6O8TUWdvH9jcL3wWc68x0OwPCfkQb3zO8W8MthwvMoCdjyxvaK8PY2APM9uljzDOhS94uEEvYJomLwXCXQ8HPqVu8uWoj1+C6M60i1cvM1fa72cvBa8a8lcPL+TSLwZnaC8QULDvUTzkTyys588vhhKvReOdTySmzM9CylLvDuhBr2QiJS74ZcuOT7byrui2FG9Q/2UPDDsdjzNBx68SW2pPPM7xTpkMqM81/tMvBeOdTywTCc8BQMNPS2BCryHjla9MYAjPfYdPLzh7/s8umMHPRVAKz3j1wG995i6vAyaxryoIcG8rMgMveFmBr0vGSs8fO4AvI+SlzxlraG8iJ0BvMp99LyTaos8egKHveNSAD0thf66Za2huon/0TtwHM88RRA0vU1FnTsUSq48ZqOePA4LwjxmgG081MEIvJMWsjsUz6+69h08O/M7Rbz/Pp85OQ1aPEux8DrGyDG9CjPOOFVN0jtPrBW8rTmIPSnQO70YhHK9b8SBPbMLbbwe5o+8N8mSvTchYD3iCKo8HfASPWKagj2Tbv+8X+kzvf1SpbzKAva6W5bBO4RUkj3DtRI5zYIcvVvgFzz8sAG8pElNPfcTubyIp4S8deq/vLBMJ73aWEI9lAwvOpXfejz7XCi9j5KXPCw3tDyNUkS6hphZO/LKybyV0YO8WC9JPX5t8zwAl+y7UXVevEVkjbz0McK89xM5PZb4qDy4dw090lCNu0aLsjwew169sb0ivKEFBjwthf68Ksa4PJZzpzxLWaM6HNfkPOChMb1e87Y8QgcYvBUd+rvUPAe+4ggqPH139jqcNxW9B1FXvJ/22rwdSOC8x5v9vN6EjzzqlWC9sNGoPHuL/Ltq0189sR9zPPWsQD1CLj09g16VvFOECbzNX2u9kDS7PVwHPT2S7ww8e4t8vEde/jsFiA68xk2zvJdG87suAH08iuvLvGjn5bstLbE8WqBEvdE3X7vLliI9+k19PUnF9rr/Pp87GP9wvKBx2Txjwae8+f+yPMWhjDy2aGK90rJdPGMVATvICAU8zBEhvDPO7bshQwW8P9HHPEG9wbzJ/oE7jz4+PKtNjj187oC74mp6vE62GDy192a9mksbvMn+gbuPDRa87XdXPGBkMrsZnSC9UKKSvIVAjDx31jm97ZqIvK1H/7w+YMy8qJy/u6lhlD1aoEQ7jpwavcQwEbzYbMg7FoqBvLMLbTtXvs27Gg6cvBpmab2QNLu872NRvH5t8zywpPQ80i1cup6oEL17i/w844MovekkZb0fV4u8uc/aOprQHL0cUuO8aWLkunozLzwl+Mc64HAJPLOGazw6A9e8mOQivDfJEjzKAnY8LxkrPIc2Cb1CLj08lnMnvHuuLT0im1I9GpOdvGQP8rxt2Ae9+XoxvPFPyzyBT2q96KnmO3CXTTwQcjo95kLuPIXFjTwbXOY888BGPd06OT3Pbha9CylLPAOclLzw3s+7JzibPEMkOj3+zSM8FEquvGMZdb0cfxc8mVUePC9thDtobOc8rrh6vFAEYzya0Bw8sy4evdKy3Tvx1My800YKPfs/Br1BjBm9zYKcPGy/2TzHjYa8bbVWPVsRwLtttdY8lQKsPHggEL2DO2Q9s6kcvSfkQTtGgS88DZBDvNWKUbsUzy89mx5nPKawRTs6qwm7OojYuwN547wCIRY8lIetulZDTzzIOa08EWi3O6KABDui2NG86STlu8ZNM7334hA9b6FQPAb5CT1UV1U9HmGOPfy+eL2JnQE9w+a6O3uuLT258os9Y0YpOh3wkjyxH3O8f97uPOTRcjx4R7U7XIw+PGMVAT2342A7PHRSPBTPL7wG+Ym7Yxn1u/M7xTxhWi+8RBo3upjBcbxNwBu8jc3CPGQ8Jry0nxm8kxYyO/lTDDzN5Gy8z9BmvfnOCj2bo2i8XvO2u0aLsrxIRoQ9QyS6PNDplL16uDA88AGBvGMjeD0LKUu8zV9rPf7NozxtXYm7nxmMvM2CnDysdLM8zV/ru92/ujzUwQg7FEquPMbIMTzO2um8YssqvBcspTxUeoY8QTjAvLUamLvoqea8SmOmvIaY2bxRmA89+XoxvI8+Pj2dLZK7Jb6FPTzsHzwqP4S9OsoGvWvxdbz+ilC8b+wMPRSX0Ty0XEk8iUTHOkYoS72Wewm948upOyRCiTww8ik7gMtPvINcXD10+/m7WqM/PQRzuzxwaAm96UwoPFLDWzxZeZ+7q4cKvVLOAL3iL/i7E2UqPSMiVD1NOlY8gP12PFzNX70U/r283w1fPH3bXbxwr8A7xwnlvHqHnbws0BC9Fo9KPXKnubyZz0k8MPIpPe08Gr10Bp88rttKveSO3bxUu9S848upvMo2I7yBZOO7upYQOzrKBj333zG82iiSuhrmqDx921290RPpvHNqbb3EB4G8uwfovG6FoDzyLAy9XpMxvPvPIzwyUY88J6tZPHMGnzocd7W8rHxlvOQncTqAoS89nPFivN6xlzvIPiq9X2EKvW1Q27vpfs+88V6zvF7ljTyLPMC8GRhQPOPLKTwVMwM8brdHva5Ctzt8GCq9JoE5PbkP77uW19A8A7AHvei7m7wWj8o8Fva2vLd+4rzBIXq9fGoGPBAOTLvWnww899+xuxSX0TynjPM8+K0Ku1LDWzyZiJI8MBxKveYfaj1eLMW8IlT7PNafDLxcm7g8gP32PCfLjjzflAA9lnDkuw7kq7zgQqS8pZ+fPGIcN70tk0Q8IAA7PSh5Mr1SzoA9KzTfvNSnEzy+NKY8CCZhPFqjv7v2eMW6cOSFPMfXvTp44QA75DKWu0GnTDzLYEO96hqBvNKvmrt7StE8cK9AvJ70gLxFUAc96g9cvagTlbwPQPO8cOSFPZoEj72icuE8voaCvAad2zx6IDE9ow6TvJhzAj3Bk4s8cmCCvKFIQT0iVHu8EdH/PLJk0DyDXNy6zMevPDxQbr333zG9YU7evFgSszx0Bp88IAA7O5gMFrrFeFg9W3EYvF4sRb2mggg9i9XTvKB6aL3zqAi7ePYQvDsmzjyRVlI9ZXD3u0TJ5Tx3ehS8MMCCvKEWmjyV/wy9d8FLvQpGlrz+I2Q8qrkxPBx3tTyyhAU9DjaIPAM+dr2Qk566TwgvPW96+7vOWDy7S9EFvenluztkrUO9+XA+vKoLDr3wKe67fUJKPAGtaT2TB5S9+8T+vOaG1judJii9Gn88vPgJUj0WXSO7p/4EPRSXUbzwKe68IyLUPOaGVrztJ4o7poKIvMUckTz3Rh48ihIgvOftQr1Z4As9tPXcvD3XDz3Di4S8gWRjvHwYKjxoBKI848spOxb2NjyulJO89LJzPEvRBb30svO84jodPVhEWjxsJju9jGbgPKmE7DwxRuq78CluvI3NTDtHjzc9NkGBPAYEyDzWOKC8rA3yOwbSIDzjyym9/vE8vbyOCbx2/pe8xXjYvKzjUT2/91k7AINJPBK/jbvAF487rxCQPNukjrwVwfG8ZXscPZZ7ibxwr8A8Ks1yPfoBSzyXPj286TcYPbLLPD3Tck67vNVAO+l+z7xek7G8xwllPVORtDzDGXM8JxLGPBnRGLw2cyg9y2DDvF6TMbv1TqW8TXeiulS7VLtc7ZS7nvQAPQhjrbzhbMQ82Vq5PEWXPr1naPC86LsbvWRmjD2deIS8aASivfs2ED0xtV29P88Ivnnr67zETjg8Yhw3PQ9A8zxZeR8977gWvWPfar2KeQy9ZgwpPXFydLxq54q9QlgOvXAWLT0y3/08ltdQvBPUHbxQ1oc7/CvrvLizp7xcmzi8mAwWvD2FsztCWA69IcaMuyRCiTwPSxg9Fl0jPc+NATt+BX6851QvvSBnp7yWcGS7fHTxOm/h57wjItQ8truuvOvdNLzxsI+82RMCvYD99rsNuos9swCCPFDWBz3Lkuq8lIOQObUqIj3zqAg99zt5vVl5nzzVA9u6+/lDPGyNp7zJDIO9EZ9YvY8ssjv6Acs8R/ajvFazTb08UG48Da/mvIp5jLuVRsQ7ihIgvWQUMLwHLui8fGoGPDLf/bqjDhO98iFnvRFDET05LlU8poIIvC2TxLthTl68o0C6PL0KBr1zOEa8eVLYvKGvrb1W04I8NjbcPA26Cz15cg06jl7ZvIflYb2c8eI8/JLXvJpg1jwVKF4+QadMud18Ur0013a9ltfQOwAnAr0mT5I8aJ01vWC9Ub2yyzy9xBFsPK1/Az0y6iK8inmMu/q6E70o4B49cwafu5Z7CT0pw4c9rA3yu9odbTwHYy29v5BtPfkph7xfVuW8+8T+vDDAgjzRmoo8xLWkuQtbpjyDw8i7jyyyO6CFjTvvzSa8mmBWPNUOgLwy6iK8rwXrPIPtaLz+tPA8YedxPcwunDzoF2M9if0PvB89B72OApK8BCyEPa+MDLsm6KU8Z3MVvKnBuD37xH46VYmtO2idNTq2VEI8By7ovHx/Fr03BLU73y2UO7YNCzz6pYM8ZXucPHZa3zvbUjK9FJfRvHx/Fr3PG/A8+roTPfH3Rj1q5wo88zmVPVXwGT0TOwo6wF5GumODIzy63Ue8VYktPUvRhTwKRha9SF2QvKnBuDvn7UK8GRhQvLielztX3W09ut3HvI00Ob29zbk9N51IPei7G7wbqVy9Olh1PKSKj7zdsZe886iIu0xNAj1tW4C7TqHCvPIh57yGfvW8998xvOgXY70+Uwy9gvVvulgSszw4/K294i/4vDTiGzswTvE89CSFO9odbb2g4VQ8qxX5PHm5RL1r8fU7aAQivNCs/DtucBC8lUZEuzHVkjySi5e8rEq+vHJgAjyx/WM9dJ8yu8/pSLs6ygY8Z8/cPDRJiDug4VS6fnePPDTX9rzcFea8feYCvTDyKT0RQxE9SkpkPZ14hDy63ce8wMWyOy8k0TxCONm86qjvvN5KqztHSIA7U18NvRp/vLx56+u8BUGUvMKLBDw+Uww9EdH/PNdiwDwM7DI8yp2Pu/A0k7sZGNC8YrXKvCjgHjuTtTe8r6mjvJTfVz06Yxq9QQ65vNAejrxsv049bHiXvbeJhzoHOY08jpulvOKWZLwtTI296LubO/HFnz1exdg89qrsuyBnJ72UeOu8gvXvPFfoEr0IlVS8/LIMvB7Wmjwsu4C9BTbvPKJy4byM/3O9NOKbvJqVGz3+8Ty8R/ajvTDyqT2i2U075rh9vFsKrDxxcnS8AjSLPVLOgLzvzSa9XJu4PCC5g7waf7w8jGZgPPvEfj2mgoi8QNlzu9f707s1xYQ9jYaVu0GnTDzMxy+8pTgzvCkKv737K+u7L71kvOQylrzMxy885I7dvDtGA7wa5ii9Y+qPvL7Nubxexdi7/vG8vB2h1bwQdbi8DIVGvB89BzsbQvA7ABxdvSHDbruUeOs74AVYvaWfH70ZvIi7GbwIPYSRIbyJ3dq8MUZqPLqWEL1x2WC83LkePWdzFT2XPj097pjhPJnPST2RJCu9j8XFPOQncT36pQM9gYQYPRAuATxkRtc8iBqnPFpcCLw2cyg9aPl8PH6pNjysfOW8AjQLPdbRMzzZrJU90qT1u4NcXL3pTCi821IyPSjgHj2G8Aa9Pq/TvIoSIL13Wt+8HTppO9vrxTzVA9u7z40BPEmHMD1aoz+98+8/uxm8CD3JDAO6O426vMTny7vSpPW7ACeCvDhgfLxxp7m6QXUlvFYaujyp61g8Hm8uvR066bu+Zk28GFUcveSZAj1XgaY8lRQdu9bRM71hTt48CvS5vMkMgzymYtM73ZyHPKJy4bp+EKO7RlryvMAsn7ylBoy8ZK3DPK0YF72kio88Fo/KPIW7wbzBiOa835SAPJ70gLqvnn48my4vPGPqj70ZvIg8jTQ5u9diQL0KjU27870YvMAsnzzOJhU8vI4JvSh5Mjxz0Vm8d2UEuhmxY7xvevu6hJEhvHIOJrzz77+8OGD8u+oP3DwJyhm9Dn0/vW63x7wY7i89HHe1ueoagb0pCr89eoedu8o2ozy09Vy88CluvLxu1Lvj/VA9MuoivGODozvOJhW8fqk2PFORtLxtUNu8780mvbLLPD126Qe7gctPPYmrMzp/OsO8LSxYPDWlT7ye6ds8Bp3bvE1sfbtZbvo8EZ/YvFirRjxXgSY7vDwtu4AyvDyyZNA86BfjuzY23Lwtk8S8Mq1WvOHTsDtzau08DD6PvHFydLwWXSO9pNFGvZX/DLv1tZE7M3svvZoEDz3DgF89eIR/O45eWT0BRn290B4OPU0QNrwBRv07W2bzvasgHryZnSK8oUjBO0nuHL1aPFO8mvnpvOCpkL2fHqE8zC6cvHuxvbzYJXQ9GFUcPdgwGb39Lom8j8XFPNwgC72vBes8+88jvb3/4DyNzUw7G6ncukt/KTr1tZG8a/wavD7h+rw7RgO8Rf6qvEYoS7p5ucS8k7U3PK1/g70jItS7TNvwPK+pIzz2EVk6782mu55QSDwxgzY9DjYIPOftQjymyT88gYSYuwIU1jxseJc8qFrMPFAyT7w+SGc8homavExsfT3OJhU8smTQPEBLhbzYMJk812LAO7w8rbkLwhK8yNe9u/kph7yp61g86rMUPXIOprwrAri8LMVrvMatnTzqqG89u6sgPQhjrTwpCr+8EA5MvQ4W07zRmgo99BngvOYqj71qla48b3r7u7a7rj0Pp987QOQYvbkalLxj32q9fGoGuleBprykalo8kweUPFYaujwpPOa642Q9PVORtL2M/3O9jpslvLuroDvcFWa7NV6YPAW9kL1H9iM9SuP3PAJ7QjshNQA86LB2vZTf1zyHBZc81QPbPGj5fDxN3g672KyVO0ypSTtCWI48LUyNPGZehbyPLLI8ut3HPMSgFL0VwfG7BagAvb2jGT08Hsc8t37iPJO1Nz1c7RS9wlY/PCs0Xz3WOKA8HtaavJxYz7yTTks8nCYoO5yKdj2BZGM9eOEAvZuAizwM7DK9NV4YPVP4oDxFl748e+PkPKJ9Br1DBjI9CSZhvdF6Vb0D4i47poKIOho4hTzDJJi8ihKguxa56jwtLNi6hn71PPXnuLzWOCA8xd/Eu7sH6LtlPlC8HMmRPeElDb2RvT68acfVPIMqtbuCmag7/7RwOqOnpjwCe0K9UlzvuUbMg7xK4/e8gvXvOoGEmLx921275rj9uzpjmjxNdyI8bHgXu9yu+bvTK5c87KBoPRT+PTz5cL48xLUkPflwPj1Hjze9VfAZPEGnTDvpN5g9e+NkvMZGMT3YJfQ7I4nAu7qg+zw97B89IGcnveCeazzmw6I8vf9gvEbB3rrbUrK8eI8kvfO9GLzb60U7JbPgvBZIkzz2Edm8qSilO3BoiTxxcnS8e7G9PLcX9rsviz074qGJu+NkPbxf7/g6yjajPOoaAb2BhBi9ZddjPWRmDD245c46noJvu6aCCD3oIoi7igf7PCC5Az0I/EA9kxwkvNod7Tmjp6a8XFQBPb3/4DqfHiE9cmCCvMTny7sny448sGzXu9bRMz1ypzk8HN6hPDpY9TsSvw099IBMujHffTzfdEu8id3aPNmsFb0DSZs8yKWWu8bKKz07Loo8eiFzvbDjsbxdE3k8yeHTuyLY8DzpC4g8Hxv+O6TsjDx81vm8NQcKvNNyYTuRxV+8QVD4u9xewLoptRM951HvvD6UITw/Sai7IX47vdupuTzfbXw8vea4vNyxJbwCYGm87MNovQ1MSD2xPgM9cOPKu5flDz2ZR7G81CfoOxERJz2/QO48cT6cO/VU9rz6IcG8uiHavLYKsjxJh9A6Gv0FPUTDjT1teT27Dq5pvFiaL72hKyS8lYLSvCsXtbtCWOS8rMyJPFY4jrz0+kA9LScNvByxcLs6Iqg88UW6vKZKuLzhJ5W9gQKMvLi/uLyPrrc815IRvX2MHL1VMCK992TOPHkeGbz6fBI88pgfvQh/fbzcZiw89lziPG6BqTu3ZYO8btgEvX9JD73lTpW91S/UvNAIVL1FFde6v+4kvRPOmTyqYWC6UiBKPKzMib0Zmkg8ZUJlvNUvVD1Gyt07LoFCOqVKuDtHgAA968AOPcMNubwEFgy9D1ygvGLY1zx6JgW9dQJfPG8uRLrUKAQ9lzfZO+ZOlbtVitc8INEgvfNNJr31VPY7D1ygvGpqATyexYy7zEN1PZR65jy9OR68NQL4PD6YF7r9i8487Xhvvf+bprxVMCK8p6WJvMRsgD26zxA9DfliPTJGobydXtk7M0qXvNJq9TuTewK9+3v2O6oTjTvw5w68NQsAPevAjrxEvxc8mk+dOwV4Lb3Z9LK7xW9aPbkZbryB/hW74twbPSWdz7rbVlQ9t2WDvdjsRj1qvMq94oVAPeb3ubyYP8U8WD9eu0bSyTsRvkE8STRrvIqW8zxRa0M8oX6Ju2j/17yUeuY8QPZCPODIzTzl7828YSs9PeKNrLztJia8uBqKPPWvxzyxkEw9c/+EPd4TR7z7Ka28W1eiu23Mojzk52G9veY4PODITTpaphE9y5ZaPf+jEryYP8U7yCxNvSIr1rt1At+8VzwEvQZ4LTwRESc8cT4cPOtpszzDYJ48V+WoPFWK1zyrHtO8LB8hvEVwKD181nk8IzsuPLuEl7zaTwQ7sZBMvV0Mqbz5ywG8XFsYPGpqgbxmpaK8NbCuvbCI4Dx72ws88vLUvMjWDb1u0/I856TUO1xfjrx9Obe8bR5svBWHljzv2yy8YYIYPTzjkLwbVzu9WJqvu7E95zyHJPq87i6SvO/brDwyRiE9ggXmvNPVnrz1WQi921ZUO2haKTy4bFO9oHoTvYmHtzzu00A80hisPLSshjyj4Co9kcKFvJ0QBj2+QQo9IzPCPFR6/7rTH/y7OG2hPQ2nmbteFBU8HF+nu1qqhzzN+Rc7p1IkvfGQs7yklTE9S5eoOwk1oLzXN0A9xRkbPcjR+zz+7gu9M06NvGxxUbwY7S29w7rTu/a3s7xPCSK9lHrmPA4BTz0u23c6iCzmO9IYLD3+6pU8DJ8tu2Q/Cz2Npku80x98PMVv2jzvLXa8JUJ+PA1MSD14bGw7YdBrPa+AdLzjjay7Z62OvadSJLxPXAe7ZviHPLKYOLyVLBO80b1avEvqjTxQY9e8+9bHPJEQWT295jg9OyqUu+LYpbyeE2A8A7POPHgeGb6XN1m9dE3Yu5pWbbu5dL88r9vFPF5mXr2BqzC9HLaCvUMFfz2seSQ9WD9evaphYLwdZnc8OL9qPcCrFz2nUiS95kofvFFrQzyrcTi8q2nMvBy2AjrxkDM9kyAxPeEri7pJ4iE9d2kSPWxxUbuvhQa9jPFEvWb0ETyOU+Y7OG0hvJmiArzCBU2786CLPD05ULzJNDm9Twkiuyf8FrwfybQ8Rh3DPZmigruW3aO84COfvBlHY7zhfVQ8yo5uPQNhBb0lQv68wgXNO4RoozyDDVK9LHIGvcUZm73x64Q7JfA0PHLzIrwNVDQ7v/qGO9QoBDzynJW9i+lYPJ0Qhr2pByu9TlgRvSxyhjyKPL68+Gy6uw8JO71mnbY7jUwWPFqmET34EWk8MJGaunKY0TtduUO99lxivLE+A7xFcKi9zfmXvKis2bv1Ai28btPyu705HryaUxO9wVDGPOPgETxB/q48u9ZgPp8bTD36e3a9o41FvWoPsDwnpTu9XhP5PLhs07xYmq+8ZOgvvI+ut7pTxfi8zaYyvMh/sjzscZ+9Os/CPAJdD7zBUEY8WqF/PRUwOzz6e/Y8+L+fvJr8tz2OVIK6bcwivTNOjbyW4Rm70m+HPUbSSTzDYJ470hgsvP6bpjtcBL07HWZ3PMXCPzvYlgc8uR4AvUzxXTtnUr28fNb5PLa3TD29OZ48eSFzPK6BELzMnka96P8lvAnaTj0GeC28dxK3PLavYDz2XGI8Z60OvS0jlzyeZkU71oolOzKZhrya/De95kqfvB7BSLwWOCe715KRumdSPbx7Kd882OxGu6x5JL0tIxe8LMTPPEqPPD2rxB09+4AIPa3L7T0qvGM8N2W1vE9cBz36e/Y8pqETvA5UtDzorMA8AVEtvcd3RrwdZxO8w2QUvd7A4bzSxUY8iuHsPGoPMDymnZ29ZqUiPb09FD38g2K84HXovJG98zx5Io+8rMwJPam0xbzsw2g9tPrZO3keGb0TIGO98eL8PIrh7Doj6Ei9TPlJvFG+KLyVMIk86P8lvY1QDLyGysQ8OHEXPEBRFL0duVy9Bs+IPHgaIz3Gyiu8rdNZvAeAGbnfbfy8+BFpPIVv8zz5zts7EmvcPAbK9jx93uW8W6nrO7gWFL34wxU8OnzdO7yMgzyYmpY8YoVyOkh/ZDzgI5+84twbvfWvx7saqiC81uTaPFc8hDxEww09lHrmPK7TWbs1AxS7Dq8FPN7AYbwmSuo7CC00vdWCOTzGIQc9v5u/O2pqAb1FFde7qmnMOsUhhzt0qCm8tFUrvbLzibsDDiC75UIzvVtXorxB/i698DVivPLy1LwNpxk9BXgtvZsEpDtcsde8So+8PCwfob2hfgk9TlN/u8JYsry0p3Q8n8mCvPt7drznUW89XmbePFUwojyfwHq9o41FvRyxcDvCWLK8eGzsO2HYVzy95rg8jVCMO64mPz0vLt28ieKIvaF97bzqDmI9VjSYvDKgVr2zrIY9iH/LvNUv1DugyGa8HxyavBQoT7z3ZM68/DGZvB25XL2Cs5y8/pO6vAk1ILtx6zY8OcfWO4RoIzyNpsu7NPsnPUYdQzueZkW93238vKF+CTzduPW8aKxyO9upObvIf7I63ANvPB5riTzKkwC5OXRxvNBjpby4bNM73xuzPN0LW7pXksO8C5dBvUd8CjwDDqA72k+EvC8uXbzY7Ma779ssvOPf9bxTzoC80GOlOz+cDT1+QSM7FM39OwJZmTvvLfa86P8lPL2L5zxOATY9Jp1PPeZOFT0/SSg9QljkvC7UJz14GqM8HyCQPIH9+TymnR08POMQPH5Bo7wraX48/YvOPPLqaLxfG+U7NbgaPMVv2juwOg29i0QqPcH94DyUKJ08w2SUPBtXOzqTILE8nV5ZvFmiG73Lllq9lzfZvJIYxbzJ4dM7NriaOwgtND0EEpY8hyT6vActNLwTIGO8UGPXvC0mcbw2t/66MT41vX9Ic7tV1dC8mk+dPOx1FTw0TXE9bXk9PEk1B739OGk84o2sPOdSC71jOnm8wqp7vGetDjwlR5C9NPsnPHCI+bxeFJW7v+4kPMjWDT0ebuO8URByvActNDwv3BO9HblcO7opxrzaTwS9Wk+2vH05NzwtK4O9EWPwvKakbTzRvdq7jJ5fPHgaI71QFYS9Bcp2O37mUbsiK9a84o0svIGrsDzOshS8/TkFPc+yFL33EWk67oDbvEclL7yRENm83b2Hu99yDjsteVa7wVBGPGQ7lboptRM9sZDMvAmH6byszIk8Y+DDPHcSt7shfrs6oti+PV0MKbym7+Y7bibYuzcS0LsdZve8lSwTPUCjXb0Zmsg8h3ffPFqqhzzYlge9j643vYqW87z4v589cJEBO05chz3tfQE9y0N1vMBIWj34v588bMQ2vLA6Db1QY9c7sDqNPBflQb3xRbo8KAQDvVG+qLx83wE9ojOQOxr0fTxdXvK7uzEyvMVv2rx+QaM8utbgPJLF37wb/Gk82UcYvAzx9rwx6088arzKO66BEL0BUS29zfj7PMRsAL2GdIU9+Gw6vZJzFj1pYhW7tgqyvJmiAr4wNsk8n26xurLzibyX7N+7UGNXPES/l7yLlw+9hspEvJ/FDL1GHUM8N7f+PIYdKj1sGxK8Dqb9PFMoNjyQYz69Aw6gO2wfCDzh0Dk9XmbeusRn7jw71668s6f0vOweOr0UezQ8Y+BDPYnekjxgyH+8e9uLvQfSYjyJhze9PN+au05Umz06Iig9+L8fvEeAgLz/7e88QVkAPeoOYjyfyGY6r4B0PIqW87yN+TA93hNHPGIzqbsvLt28G/xpu+KFQDzVgjk90b3auq59mrwMny29zUthPdpPhDyBAow8WD/evG4mWLz1VHa8L4kuvVMgyrxa/NA8ax8IvSoPSb0Wiww97SYmPXi/0bxLl6g8gw3SvI4BnTzh0Lm87HGfPdeSET1PW2u9EhmTO/HrhLzcCIE9mwSkO7VcezzbXkA8P0kovYbKxLxllUo8pfACPTsp+DwdZ5O7xW9avOZOlbx2tIu9gQIMvYcpDL31Aq27jZ5fvcCrFz2Rvo+9xR0RPR1nEzw1sK67fkGjvJn0S7395h89XLHXPKZKuLwTIOM886SBvBr5Dz1ewS+8Vt28O0VwqDzugNs8R3wKvC8u3byhKyS9MDZJOyLg3Lwteda8+iFBvLcSHj3sw2g8WD/evC+JLj3cA288MqBWPQ4Bz7w/Sag7VdVQvId33zr4EWk94+CRPLPy7bwewcg8So+8vRlH4zt0+nI8RHAoPDrPQj1g0Qe9yNqDPL3muLx2r3m86g7iO+weurzw4ny8PDHku7JFUzspB907KQfdPNjsRjx+k2y8w7LnO0QN6zzvMog7By20uqWhEz1ducO8MpmGvDzfGjoymGo8PeeGvJmigjxwjYu8nyM4vJJzlrtOATY8xsqrOym1kzwxPrW8QwoRPAvqprzy8tS8MpjqPCToSDzTzTK8pp0dvV/NkT0+m/E8f5tYvIIGAj1qD7A9x9IXPJC2ozu8jAM99VT2PP6Turp1VUQ7Ehh3u7NNP73WN0A8etcVvUFVCr3BUMa8s6Cku5lHMTy3ZQM7ZvgHPaONRTzkOsc7AaN2vKPgKry7hBc7xBWlvVftFDxTc6+7sDqNvO8tdrtm7/+7nQt0vERoPLqXN9m8+XSmPFY4jjyjN4Y74oVAvVWDhz3/8oE8bBsSvevEhL0aorQ8qx7TPFbdPLyX7N88vT2UPN8bM7vRvVo8dKgpvb09FDzpB5K85kofPWsXHD0DDiA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\ No newline at end of file diff --git a/dsLightRag/Topic/JiHe/vdb_relationships.json b/dsLightRag/Topic/JiHe/vdb_relationships.json new file mode 100644 index 00000000..1faa8874 --- /dev/null +++ b/dsLightRag/Topic/JiHe/vdb_relationships.json @@ -0,0 +1 @@ +{"embedding_dim": 1024, "data": [{"__id__": "rel-8c1c7a535667da54717cfc684a29b3c3", "__created_at__": 1752209913, "src_id": "Triangle ABC", "tgt_id": "Triangle Inequality", "content": "Triangle ABC\tTriangle Inequality\ngeometric proof,inequality\nTriangle ABC is used to demonstrate the triangle inequality theorem, showing the relationship between its sides.", "source_id": "chunk-a5e3dacee89618f913c4948b6ffe64ec", "file_path": "unknown_source"}, {"__id__": "rel-b46d74f0796c8b6fef0de58539f07c35", "__created_at__": 1752209913, "src_id": "Euclid's Fifth Postulate", "tgt_id": "Proposition 19", "content": "Euclid's Fifth Postulate\tProposition 19\nangle-side relationship,geometric principles\nEuclid's Fifth Postulate is used alongside Proposition 19 to establish the relationship between angles and sides in the proof.", "source_id": "chunk-a5e3dacee89618f913c4948b6ffe64ec", "file_path": "unknown_source"}, {"__id__": "rel-2ef66df36fc7aa71e1374473e20fdd1f", "__created_at__": 1752209913, "src_id": "Proposition 19", "tgt_id": "Triangle Inequality", "content": "Proposition 19\tTriangle Inequality\ngeometric logic,proof technique\nProposition 19 is applied to prove the triangle inequality by comparing angles and corresponding sides.", "source_id": "chunk-a5e3dacee89618f913c4948b6ffe64ec", "file_path": "unknown_source"}, {"__id__": "rel-e3c9f606eb2d48c5e37f2c2d8bff69ed", "__created_at__": 1752209913, "src_id": "三角不等式", "tgt_id": "三角形ABC", "content": "三角不等式\t三角形ABC\ngeometric proof,inequality demonstration\nThe proof uses triangle ABC to demonstrate the triangle inequality theorem through geometric construction.", "source_id": "chunk-a5e3dacee89618f913c4948b6ffe64ec", "file_path": "unknown_source"}, {"__id__": "rel-de9c692983018a15521f9ccd2f7c6a7a", "__created_at__": 1752209913, "src_id": "命题19", "tgt_id": "欧几里得第五公理", "content": "命题19\t欧几里得第五公理\ngeometric principles,logical progression\nEuclid's Fifth Postulate is used to establish angle comparisons that lead to the application of Proposition 19 in the proof.", "source_id": "chunk-a5e3dacee89618f913c4948b6ffe64ec", "file_path": "unknown_source"}, {"__id__": "rel-37e6f8ce2b52adfdbedbf5458829145f", "__created_at__": 1752209913, "src_id": "三角形ABC", "tgt_id": "点D", "content": "三角形ABC\t点D\nauxiliary point,geometric construction\nPoint D is constructed from triangle ABC by extending side AB to create additional geometric relationships.", "source_id": "chunk-a5e3dacee89618f913c4948b6ffe64ec", "file_path": "unknown_source"}, {"__id__": "rel-2a9cc6a702126e537b2447867dae52f6", "__created_at__": 1752209913, "src_id": "命题19", "tgt_id": "等腰三角形BCD", "content": "命题19\t等腰三角形BCD\nangle properties,proof technique\nThe isosceles triangle BCD's angle properties enable the application of Proposition 19 regarding angle-side relationships.", "source_id": "chunk-a5e3dacee89618f913c4948b6ffe64ec", "file_path": "unknown_source"}, {"__id__": "rel-039ba025f89bcd6d36103f7ef75d76ca", "__created_at__": 1752209913, "src_id": "三角不等式", "tgt_id": "几何原本", "content": "三角不等式\t几何原本\nhistorical reference,mathematical foundation\nThe triangle inequality proof references Euclid's Elements (几何原本) as the source of foundational geometric propositions.", "source_id": "chunk-a5e3dacee89618f913c4948b6ffe64ec", "file_path": "unknown_source"}], "matrix": 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"} \ No newline at end of file diff --git a/dsLightRag/myKG/1.txt b/dsLightRag/myKG/1.txt deleted file mode 100644 index 639e0113..00000000 --- a/dsLightRag/myKG/1.txt +++ /dev/null @@ -1 +0,0 @@ -(('0D821754BAB14DBA9164F0F060418B17', '数与代数', None, 0), ('410A88DB8D8849BD96CA6B6F76041D07', '综合与实践', None, 0), ('513EDB17A175416EA85D73634F09E9C5', '统计与概率', None, 0), ('E6F62DDCB4F6487A8E8CAC8AC981D355', '图形与几何', None, 0), ('4EA906F9EE964A0984887C8281731888', '正比例、反比例', '0D821754BAB14DBA9164F0F060418B17', 0), ('9BCB10F0243D43C6BFB40DE9F69995DD', '探索规律', '0D821754BAB14DBA9164F0F060418B17', 0), ('A4A72A3B774D4BC1B27B9702D40A60DA', '式与方程', '0D821754BAB14DBA9164F0F060418B17', 0), ('B978FCBCEE0347B5AA8DB8E96A7B12F3', '数的认识', '0D821754BAB14DBA9164F0F060418B17', 0), ('E5650CC102764B0988A67B1DB95AB8F5', '常见的量', '0D821754BAB14DBA9164F0F060418B17', 0), ('F0333B305F7246B5A06D03D4E3FF55A9', '数的运算', '0D821754BAB14DBA9164F0F060418B17', 0), ('4902DFF4597F4BD8BD6A1ACDDDBAB120', '错车问题', 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/dev/null and b/dsLightRag/static/Images/7a1f3e68c9234e8d87deca2b32a13f20/media/image1.png differ diff --git a/dsLightRag/static/Images/c8c0221648af480699a364fd50cbbeb6/media/image1.png b/dsLightRag/static/Images/c8c0221648af480699a364fd50cbbeb6/media/image1.png new file mode 100644 index 00000000..3c219b5e Binary files /dev/null and b/dsLightRag/static/Images/c8c0221648af480699a364fd50cbbeb6/media/image1.png differ diff --git a/dsLightRag/static/Txt/Chemistry.docx b/dsLightRag/static/Txt/Chemistry.docx index 084717c7..3a5c5252 100644 Binary files a/dsLightRag/static/Txt/Chemistry.docx and b/dsLightRag/static/Txt/Chemistry.docx differ diff --git a/dsLightRag/static/Txt/JiHe.docx b/dsLightRag/static/Txt/JiHe.docx new file mode 100644 index 00000000..179c9b5a Binary files /dev/null and b/dsLightRag/static/Txt/JiHe.docx differ diff --git a/dsLightRag/static/markdown/Chemistry.md b/dsLightRag/static/markdown/Chemistry.md index 3562a404..9a3b8b07 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/500a35d1483c4b9d934ff584073c6590/media/image1.png) +![](./Images/c8c0221648af480699a364fd50cbbeb6/media/image1.png) diff --git a/dsLightRag/static/markdown/JiHe.md b/dsLightRag/static/markdown/JiHe.md new file mode 100644 index 00000000..6c96ca30 --- /dev/null +++ b/dsLightRag/static/markdown/JiHe.md @@ -0,0 +1,8 @@ +三角形三边关系的证明 +证明方法如下： +作下图所示的三角形ABC。在三角形ABC中，[三角不等式](https://zhida.zhihu.com/search?content_id=248217850&content_type=Article&match_order=1&q=%E4%B8%89%E8%A7%92%E4%B8%8D%E7%AD%89%E5%BC%8F&zd_token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJ6aGlkYV9zZXJ2ZXIiLCJleHAiOjE3NTIzNzg0NDAsInEiOiLkuInop5LkuI3nrYnlvI8iLCJ6aGlkYV9zb3VyY2UiOiJlbnRpdHkiLCJjb250ZW50X2lkIjoyNDgyMTc4NTAsImNvbnRlbnRfdHlwZSI6IkFydGljbGUiLCJtYXRjaF9vcmRlciI6MSwiemRfdG9rZW4iOm51bGx9.rH6r8SvGmu-I9piEsmZfg2HjbXzUduYclZ2jfA3jZRs&zhida_source=entity)可以表示为\|AB\|+\|BC\|＞\|AC\|。 +![](./Images/7a1f3e68c9234e8d87deca2b32a13f20/media/image1.png) +height="2.8183694225721783in"}\ +①延长直线AB至点D，并使\|BD\|=\|BC\|，连接\|DC\|，那么三角形BCD为等腰三角形。所以∠BDC=∠BCD。 +②记它们均为α，根据[欧几里得第五公理](https://zhida.zhihu.com/search?content_id=248217850&content_type=Article&match_order=1&q=%E6%AC%A7%E5%87%A0%E9%87%8C%E5%BE%97%E7%AC%AC%E4%BA%94%E5%85%AC%E7%90%86&zd_token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJ6aGlkYV9zZXJ2ZXIiLCJleHAiOjE3NTIzNzg0NDAsInEiOiLmrKflh6Dph4zlvpfnrKzkupTlhaznkIYiLCJ6aGlkYV9zb3VyY2UiOiJlbnRpdHkiLCJjb250ZW50X2lkIjoyNDgyMTc4NTAsImNvbnRlbnRfdHlwZSI6IkFydGljbGUiLCJtYXRjaF9vcmRlciI6MSwiemRfdG9rZW4iOm51bGx9.ltcWsMYJv-ZzcuBaSjYN69JC8hnIyPMFsfhIlum4yqc&zhida_source=entity)，∠ACD大于角∠ADC(α)。 +③由于∠ACD的对边为AD，∠ADC(α)的对边为AC，所以根据大角对大边([几何原本](https://zhida.zhihu.com/search?content_id=248217850&content_type=Article&match_order=1&q=%E5%87%A0%E4%BD%95%E5%8E%9F%E6%9C%AC&zd_token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJ6aGlkYV9zZXJ2ZXIiLCJleHAiOjE3NTIzNzg0NDAsInEiOiLlh6DkvZXljp_mnKwiLCJ6aGlkYV9zb3VyY2UiOiJlbnRpdHkiLCJjb250ZW50X2lkIjoyNDgyMTc4NTAsImNvbnRlbnRfdHlwZSI6IkFydGljbGUiLCJtYXRjaF9vcmRlciI6MSwiemRfdG9rZW4iOm51bGx9.Q1rCY0S2bj5Dwp3Fg7xb_VSFESz2_pCUETDybnHANvo&zhida_source=entity)中的命题19)就可以得到\|AB\|+\|BC\|=\|AB\|+\|BD\|=\|AD\|＞\|AC\|。