{"ts": "2026-07-15T10:43:26.342630+00:00", "type": "system_prompt", "text": "You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\n\nYour result will be compared head-to-head with another model. Anyone on the internet can vote, based only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\n\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\n\nThe final published capture is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. The saved scene is also exported to GLB with geometry, materials, the contestant camera, and supported lights for interactive inspection. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\n\n## Harness Instructions\n\nYou are operating Blender through the provided tools. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. The saved scene is also exported to GLB with geometry, materials, your camera, and supported lights for interactive inspection. When you are finished, reply with the single word DONE and no tool calls."}
{"ts": "2026-07-15T10:43:26.343135+00:00", "type": "user", "text": "## Task\n\nComplete the following Blender task:\n\n<task>\n\nAn abandoned village slowly reclaimed by nature. Weathered houses with rusted, corroded metal roofs; overgrown foliage creeping up the walls and through broken windows; moss, grass, and vines spreading across the ground and over the rooftops. Convey age, decay, and the quiet return of the wild.\n\n</task>"}
{"ts": "2026-07-15T10:43:50.399949+00:00", "type": "llm_call", "call_index": 1, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T10:43:26.344664+00:00", "finished_at": "2026-07-15T10:43:50.399949+00:00", "duration_s": 24.046999999991385, "request": {"messages": [{"role": "system", "content": "You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\n\nYour result will be compared head-to-head with another model. Anyone on the internet can vote, based only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\n\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\n\nThe final published capture is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. The saved scene is also exported to GLB with geometry, materials, the contestant camera, and supported lights for interactive inspection. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\n\n## Harness Instructions\n\nYou are operating Blender through the provided tools. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. The saved scene is also exported to GLB with geometry, materials, your camera, and supported lights for interactive inspection. When you are finished, reply with the single word DONE and no tool calls."}, {"role": "user", "content": "## Task\n\nComplete the following Blender task:\n\n<task>\n\nAn abandoned village slowly reclaimed by nature. Weathered houses with rusted, corroded metal roofs; overgrown foliage creeping up the walls and through broken windows; moss, grass, and vines spreading across the ground and over the rooftops. Convey age, decay, and the quiet return of the wild.\n\n</task>"}], "tools": [{"type": "function", "function": {"name": "get_scene_info", "description": "Get detailed information about the current Blender scene\n\n    Parameters:\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\n    ", "parameters": {"properties": {"user_prompt": {"title": "User Prompt", "type": "string"}}, "required": ["user_prompt"], "title": "get_scene_infoArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_object_info", "description": "\n    Get detailed information about a specific object in the Blender scene.\n\n    Parameters:\n    - object_name: The name of the object to get information about\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"object_name": {"title": "Object Name", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["object_name"], "title": "get_object_infoArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_viewport_screenshot", "description": "\n    Capture a screenshot of the current Blender 3D viewport.\n\n    Parameters:\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns the screenshot as an Image.\n    ", "parameters": {"properties": {"max_size": {"default": 1000, "title": "Max Size", "type": "integer"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_viewport_screenshotArguments", "type": "object"}}}, {"type": "function", "function": {"name": "execute_blender_code", "description": "\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"code": {"title": "Code", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["code"], "title": "execute_blender_codeArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_polyhaven_categories", "description": "\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"asset_type": {"default": "hdris", "title": "Asset Type", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_polyhaven_categoriesArguments", "type": "object"}}}, {"type": "function", "function": {"name": "search_polyhaven_assets", "description": "\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ", "parameters": {"properties": {"asset_type": {"default": "all", "title": "Asset Type", "type": "string"}, "categories": {"default": null, "title": "Categories", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "search_polyhaven_assetsArguments", "type": "object"}}}, {"type": "function", "function": {"name": "download_polyhaven_asset", "description": "\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"asset_id": {"title": "Asset Id", "type": "string"}, "asset_type": {"title": "Asset Type", "type": "string"}, "resolution": {"default": "1k", "title": "Resolution", "type": "string"}, "file_format": {"default": null, "title": "File Format", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["asset_id", "asset_type"], "title": "download_polyhaven_assetArguments", "type": "object"}}}, {"type": "function", "function": {"name": "set_texture", "description": "\n    Apply a previously downloaded Polyhaven texture to an object.\n    \n    Parameters:\n    - object_name: Name of the object to apply the texture to\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\n    \n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"object_name": {"title": "Object Name", "type": "string"}, "texture_id": {"title": "Texture Id", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["object_name", "texture_id"], "title": "set_textureArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_polyhaven_status", "description": "\n    Check if PolyHaven integration is enabled in Blender.\n    Returns a message indicating whether PolyHaven features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_polyhaven_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_hyper3d_status", "description": "\n    Check if Hyper3D Rodin integration is enabled in Blender.\n    Returns a message indicating whether Hyper3D Rodin features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_hyper3d_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_sketchfab_status", "description": "\n    Check if Sketchfab integration is enabled in Blender.\n    Returns a message indicating whether Sketchfab features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_sketchfab_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "search_sketchfab_models", "description": "\n    Search for models on Sketchfab with optional filtering.\n\n    Parameters:\n    - query: Text to search for\n    - categories: Optional comma-separated list of categories\n    - count: Maximum number of results to return (default 20)\n    - downloadable: Whether to include only downloadable models (default True)\n\n    Returns a formatted list of matching models.\n    ", "parameters": {"properties": {"query": {"title": "Query", "type": "string"}, "categories": {"default": null, "title": "Categories", "type": "string"}, "count": {"default": 20, "title": "Count", "type": "integer"}, "downloadable": {"default": true, "title": "Downloadable", "type": "boolean"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["query"], "title": "search_sketchfab_modelsArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_sketchfab_model_preview", "description": "\n    Get a preview thumbnail of a Sketchfab model by its UID.\n    Use this to visually confirm a model before downloading.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\n    \n    Returns the model's thumbnail as an Image for visual confirmation.\n    ", "parameters": {"properties": {"uid": {"title": "Uid", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["uid"], "title": "get_sketchfab_model_previewArguments", "type": "object"}}}, {"type": "function", "function": {"name": "download_sketchfab_model", "description": "\n    Download and import a Sketchfab model by its UID.\n    The model will be scaled so its largest dimension equals target_size.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\n                  You must specify the desired size for the model.\n                  Examples:\n                  - Chair: target_size=1.0 (1 meter tall)\n                  - Table: target_size=0.75 (75cm tall)\n                  - Car: target_size=4.5 (4.5 meters long)\n                  - Person: target_size=1.7 (1.7 meters tall)\n                  - Small object (cup, phone): target_size=0.1 to 0.3\n    \n    Returns a message with import details including object names, dimensions, and bounding box.\n    The model must be downloadable and you must have proper access rights.\n    ", "parameters": {"properties": {"uid": {"title": "Uid", "type": "string"}, "target_size": {"title": "Target Size", "type": "number"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["uid", "target_size"], "title": "download_sketchfab_modelArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hyper3d_model_via_text", "description": "\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n\n    Parameters:\n    - text_prompt: A short description of the desired model in **English**.\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"text_prompt": {"title": "Text Prompt", "type": "string"}, "bbox_condition": {"default": null, "items": {"type": "number"}, "title": "Bbox Condition", "type": "array"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["text_prompt"], "title": "generate_hyper3d_model_via_textArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hyper3d_model_via_images", "description": "\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n    \n    Parameters:\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"input_image_paths": {"default": null, "items": {"type": "string"}, "title": "Input Image Paths", "type": "array"}, "input_image_urls": {"default": null, "items": {"type": "string"}, "title": "Input Image Urls", "type": "array"}, "bbox_condition": {"default": null, "items": {"type": "number"}, "title": "Bbox Condition", "type": "array"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "generate_hyper3d_model_via_imagesArguments", "type": "object"}}}, {"type": "function", "function": {"name": "poll_rodin_job_status", "description": "\n    Check if the Hyper3D Rodin generation task is completed.\n\n    For Hyper3D Rodin mode MAIN_SITE:\n        Parameters:\n        - subscription_key: The subscription_key given in the generate model step.\n\n        Returns a list of status. The task is done if all status are \"Done\".\n        If \"Failed\" showed up, the generating process failed.\n        This is a polling API, so only proceed if the status are finally determined (\"Done\" or \"Canceled\").\n\n    For Hyper3D Rodin mode FAL_AI:\n        Parameters:\n        - request_id: The request_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"COMPLETED\".\n        The task is in progress if status is \"IN_PROGRESS\".\n        If status other than \"COMPLETED\", \"IN_PROGRESS\", \"IN_QUEUE\" showed up, the generating process might be failed.\n        This is a polling API, so only proceed if the status are finally determined (\"COMPLETED\" or some failed state).\n    ", "parameters": {"properties": {"subscription_key": {"default": null, "title": "Subscription Key", "type": "string"}, "request_id": {"default": null, "title": "Request Id", "type": "string"}}, "title": "poll_rodin_job_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "import_generated_asset", "description": "\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\n\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\n    Return if the asset has been imported successfully.\n    ", "parameters": {"properties": {"name": {"title": "Name", "type": "string"}, "task_uuid": {"default": null, "title": "Task Uuid", "type": "string"}, "request_id": {"default": null, "title": "Request Id", "type": "string"}}, "required": ["name"], "title": "import_generated_assetArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_hunyuan3d_status", "description": "\n    Check if Hunyuan3D integration is enabled in Blender.\n    Returns a message indicating whether Hunyuan3D features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_hunyuan3d_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hunyuan3d_model", "description": "\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \n    or both for the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    \n    Parameters:\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\n\n    Returns: \n    - When successful, returns a JSON with job_id (format: \"job_xxx\") indicating the task is in progress\n    - When the job completes, the status will change to \"DONE\" indicating the model has been imported\n    - Returns error message if the operation fails\n    ", "parameters": {"properties": {"text_prompt": {"default": null, "title": "Text Prompt", "type": "string"}, "input_image_url": {"default": null, "title": "Input Image Url", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "generate_hunyuan3d_modelArguments", "type": "object"}}}, {"type": "function", "function": {"name": "poll_hunyuan_job_status", "description": "\n    Check if the Hunyuan3D generation task is completed.\n\n    For Hunyuan3D:\n        Parameters:\n        - job_id: The job_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"DONE\".\n        The task is in progress if status is \"RUN\".\n        If status is \"DONE\", returns ResultFile3Ds, which is the generated ZIP model path\n        When the status is \"DONE\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\n        This is a polling API, so only proceed if the status are finally determined (\"DONE\" or some failed state).\n    ", "parameters": {"properties": {"job_id": {"default": null, "title": "Job Id", "type": "string"}}, "title": "poll_hunyuan_job_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "import_generated_asset_hunyuan", "description": "\n    Import the asset generated by Hunyuan3D after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - zip_file_url: The zip_file_url given in the generate model step.\n\n    Return if the asset has been imported successfully.\n    ", "parameters": {"properties": {"name": {"title": "Name", "type": "string"}, "zip_file_url": {"title": "Zip File Url", "type": "string"}}, "required": ["name", "zip_file_url"], "title": "import_generated_asset_hunyuanArguments", "type": "object"}}}]}, "provider_attempts": [{"provider": "openrouter", "attempt": 1, "started_at": "2026-07-15T10:43:26.344664+00:00", "finished_at": "2026-07-15T10:43:50.397377+00:00", "duration_s": 24.046999999991385, "request": {"method": "POST", "url": "https://openrouter.ai/api/v1/chat/completions", "headers": {"host": "openrouter.ai", "accept": "*/*", "accept-encoding": "gzip, deflate", "connection": "keep-alive", "user-agent": "python-httpx/0.28.1", "authorization": "[REDACTED]", "content-length": "19307", "content-type": "application/json"}, "body": "{\"model\":\"openai/gpt-5.6-luna\",\"messages\":[{\"role\":\"system\",\"content\":\"You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\\n\\nYour result will be compared head-to-head with another model. Anyone on the internet can vote, based only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\\n\\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\\n\\nThe final published capture is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. The saved scene is also exported to GLB with geometry, materials, the contestant camera, and supported lights for interactive inspection. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\\n\\n## Harness Instructions\\n\\nYou are operating Blender through the provided tools. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. The saved scene is also exported to GLB with geometry, materials, your camera, and supported lights for interactive inspection. When you are finished, reply with the single word DONE and no tool calls.\"},{\"role\":\"user\",\"content\":\"## Task\\n\\nComplete the following Blender task:\\n\\n<task>\\n\\nAn abandoned village slowly reclaimed by nature. Weathered houses with rusted, corroded metal roofs; overgrown foliage creeping up the walls and through broken windows; moss, grass, and vines spreading across the ground and over the rooftops. Convey age, decay, and the quiet return of the wild.\\n\\n</task>\"}],\"usage\":{\"include\":true},\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"description\":\"Get detailed information about the current Blender scene\\n\\n    Parameters:\\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"user_prompt\"],\"title\":\"get_scene_infoArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_object_info\",\"description\":\"\\n    Get detailed information about a specific object in the Blender scene.\\n\\n    Parameters:\\n    - object_name: The name of the object to get information about\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\"],\"title\":\"get_object_infoArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_viewport_screenshot\",\"description\":\"\\n    Capture a screenshot of the current Blender 3D viewport.\\n\\n    Parameters:\\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns the screenshot as an Image.\\n    \",\"parameters\":{\"properties\":{\"max_size\":{\"default\":1000,\"title\":\"Max Size\",\"type\":\"integer\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_viewport_screenshotArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"description\":\"\\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\\n\\n    Parameters:\\n    - code: The Python code to execute\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"code\":{\"title\":\"Code\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"code\"],\"title\":\"execute_blender_codeArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_categories\",\"description\":\"\\n    Get a list of categories for a specific asset type on Polyhaven.\\n\\n    Parameters:\\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"hdris\",\"title\":\"Asset Type\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_categoriesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_polyhaven_assets\",\"description\":\"\\n    Search for assets on Polyhaven with optional filtering.\\n\\n    Parameters:\\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\\n    - categories: Optional comma-separated list of categories to filter by\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a list of matching assets with basic information.\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"all\",\"title\":\"Asset Type\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"search_polyhaven_assetsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_polyhaven_asset\",\"description\":\"\\n    Download and import a Polyhaven asset into Blender.\\n\\n    Parameters:\\n    - asset_id: The ID of the asset to download\\n    - asset_type: The type of asset (hdris, textures, models)\\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"asset_id\":{\"title\":\"Asset Id\",\"type\":\"string\"},\"asset_type\":{\"title\":\"Asset Type\",\"type\":\"string\"},\"resolution\":{\"default\":\"1k\",\"title\":\"Resolution\",\"type\":\"string\"},\"file_format\":{\"default\":null,\"title\":\"File Format\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"asset_id\",\"asset_type\"],\"title\":\"download_polyhaven_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"set_texture\",\"description\":\"\\n    Apply a previously downloaded Polyhaven texture to an object.\\n    \\n    Parameters:\\n    - object_name: Name of the object to apply the texture to\\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\\n    \\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"texture_id\":{\"title\":\"Texture Id\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\",\"texture_id\"],\"title\":\"set_textureArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_status\",\"description\":\"\\n    Check if PolyHaven integration is enabled in Blender.\\n    Returns a message indicating whether PolyHaven features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hyper3d_status\",\"description\":\"\\n    Check if Hyper3D Rodin integration is enabled in Blender.\\n    Returns a message indicating whether Hyper3D Rodin features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hyper3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_status\",\"description\":\"\\n    Check if Sketchfab integration is enabled in Blender.\\n    Returns a message indicating whether Sketchfab features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_sketchfab_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_sketchfab_models\",\"description\":\"\\n    Search for models on Sketchfab with optional filtering.\\n\\n    Parameters:\\n    - query: Text to search for\\n    - categories: Optional comma-separated list of categories\\n    - count: Maximum number of results to return (default 20)\\n    - downloadable: Whether to include only downloadable models (default True)\\n\\n    Returns a formatted list of matching models.\\n    \",\"parameters\":{\"properties\":{\"query\":{\"title\":\"Query\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"count\":{\"default\":20,\"title\":\"Count\",\"type\":\"integer\"},\"downloadable\":{\"default\":true,\"title\":\"Downloadable\",\"type\":\"boolean\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"query\"],\"title\":\"search_sketchfab_modelsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_model_preview\",\"description\":\"\\n    Get a preview thumbnail of a Sketchfab model by its UID.\\n    Use this to visually confirm a model before downloading.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\\n    \\n    Returns the model's thumbnail as an Image for visual confirmation.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\"],\"title\":\"get_sketchfab_model_previewArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_sketchfab_model\",\"description\":\"\\n    Download and import a Sketchfab model by its UID.\\n    The model will be scaled so its largest dimension equals target_size.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model\\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\\n                  You must specify the desired size for the model.\\n                  Examples:\\n                  - Chair: target_size=1.0 (1 meter tall)\\n                  - Table: target_size=0.75 (75cm tall)\\n                  - Car: target_size=4.5 (4.5 meters long)\\n                  - Person: target_size=1.7 (1.7 meters tall)\\n                  - Small object (cup, phone): target_size=0.1 to 0.3\\n    \\n    Returns a message with import details including object names, dimensions, and bounding box.\\n    The model must be downloadable and you must have proper access rights.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"target_size\":{\"title\":\"Target Size\",\"type\":\"number\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\",\"target_size\"],\"title\":\"download_sketchfab_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_text\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n\\n    Parameters:\\n    - text_prompt: A short description of the desired model in **English**.\\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"title\":\"Text Prompt\",\"type\":\"string\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"text_prompt\"],\"title\":\"generate_hyper3d_model_via_textArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_images\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n    \\n    Parameters:\\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"input_image_paths\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Paths\",\"type\":\"array\"},\"input_image_urls\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Urls\",\"type\":\"array\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hyper3d_model_via_imagesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_rodin_job_status\",\"description\":\"\\n    Check if the Hyper3D Rodin generation task is completed.\\n\\n    For Hyper3D Rodin mode MAIN_SITE:\\n        Parameters:\\n        - subscription_key: The subscription_key given in the generate model step.\\n\\n        Returns a list of status. The task is done if all status are \\\"Done\\\".\\n        If \\\"Failed\\\" showed up, the generating process failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"Done\\\" or \\\"Canceled\\\").\\n\\n    For Hyper3D Rodin mode FAL_AI:\\n        Parameters:\\n        - request_id: The request_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"COMPLETED\\\".\\n        The task is in progress if status is \\\"IN_PROGRESS\\\".\\n        If status other than \\\"COMPLETED\\\", \\\"IN_PROGRESS\\\", \\\"IN_QUEUE\\\" showed up, the generating process might be failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"COMPLETED\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"subscription_key\":{\"default\":null,\"title\":\"Subscription Key\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"title\":\"poll_rodin_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset\",\"description\":\"\\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\\n\\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"task_uuid\":{\"default\":null,\"title\":\"Task Uuid\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"required\":[\"name\"],\"title\":\"import_generated_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hunyuan3d_status\",\"description\":\"\\n    Check if Hunyuan3D integration is enabled in Blender.\\n    Returns a message indicating whether Hunyuan3D features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hunyuan3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hunyuan3d_model\",\"description\":\"\\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \\n    or both for the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    \\n    Parameters:\\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\\n\\n    Returns: \\n    - When successful, returns a JSON with job_id (format: \\\"job_xxx\\\") indicating the task is in progress\\n    - When the job completes, the status will change to \\\"DONE\\\" indicating the model has been imported\\n    - Returns error message if the operation fails\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"default\":null,\"title\":\"Text Prompt\",\"type\":\"string\"},\"input_image_url\":{\"default\":null,\"title\":\"Input Image Url\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hunyuan3d_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_hunyuan_job_status\",\"description\":\"\\n    Check if the Hunyuan3D generation task is completed.\\n\\n    For Hunyuan3D:\\n        Parameters:\\n        - job_id: The job_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"DONE\\\".\\n        The task is in progress if status is \\\"RUN\\\".\\n        If status is \\\"DONE\\\", returns ResultFile3Ds, which is the generated ZIP model path\\n        When the status is \\\"DONE\\\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"DONE\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"job_id\":{\"default\":null,\"title\":\"Job Id\",\"type\":\"string\"}},\"title\":\"poll_hunyuan_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset_hunyuan\",\"description\":\"\\n    Import the asset generated by Hunyuan3D after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - zip_file_url: The zip_file_url given in the generate model step.\\n\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"zip_file_url\":{\"title\":\"Zip File Url\",\"type\":\"string\"}},\"required\":[\"name\",\"zip_file_url\"],\"title\":\"import_generated_asset_hunyuanArguments\",\"type\":\"object\"}}}]}", "body_base64": "{"model":"openai/gpt-5.6-luna","messages":[{"role":"system","content":"You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\n\nYour result will be compared head-to-head with another model. Anyone on the internet can vote, based only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\n\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\n\nThe final published capture is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. The saved scene is also exported to GLB with geometry, materials, the contestant camera, and supported lights for interactive inspection. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\n\n## Harness Instructions\n\nYou are operating Blender through the provided tools. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. The saved scene is also exported to GLB with geometry, materials, your camera, and supported lights for interactive inspection. When you are finished, reply with the single word DONE and no tool calls."},{"role":"user","content":"## Task\n\nComplete the following Blender task:\n\n<task>\n\nAn abandoned village slowly reclaimed by nature. Weathered houses with rusted, corroded metal roofs; overgrown foliage creeping up the walls and through broken windows; moss, grass, and vines spreading across the ground and over the rooftops. Convey age, decay, and the quiet return of the wild.\n\n</task>"}],"usage":{"include":true},"tools":[{"type":"function","function":{"name":"get_scene_info","description":"Get detailed information about the current Blender scene\n\n    Parameters:\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\n    ","parameters":{"properties":{"user_prompt":{"title":"User Prompt","type":"string"}},"required":["user_prompt"],"title":"get_scene_infoArguments","type":"object"}}},{"type":"function","function":{"name":"get_object_info","description":"\n    Get detailed information about a specific object in the Blender scene.\n\n    Parameters:\n    - object_name: The name of the object to get information about\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"object_name":{"title":"Object Name","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["object_name"],"title":"get_object_infoArguments","type":"object"}}},{"type":"function","function":{"name":"get_viewport_screenshot","description":"\n    Capture a screenshot of the current Blender 3D viewport.\n\n    Parameters:\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns the screenshot as an Image.\n    ","parameters":{"properties":{"max_size":{"default":1000,"title":"Max Size","type":"integer"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_viewport_screenshotArguments","type":"object"}}},{"type":"function","function":{"name":"execute_blender_code","description":"\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"code":{"title":"Code","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["code"],"title":"execute_blender_codeArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_categories","description":"\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"asset_type":{"default":"hdris","title":"Asset Type","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_categoriesArguments","type":"object"}}},{"type":"function","function":{"name":"search_polyhaven_assets","description":"\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ","parameters":{"properties":{"asset_type":{"default":"all","title":"Asset Type","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"search_polyhaven_assetsArguments","type":"object"}}},{"type":"function","function":{"name":"download_polyhaven_asset","description":"\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"asset_id":{"title":"Asset Id","type":"string"},"asset_type":{"title":"Asset Type","type":"string"},"resolution":{"default":"1k","title":"Resolution","type":"string"},"file_format":{"default":null,"title":"File Format","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["asset_id","asset_type"],"title":"download_polyhaven_assetArguments","type":"object"}}},{"type":"function","function":{"name":"set_texture","description":"\n    Apply a previously downloaded Polyhaven texture to an object.\n    \n    Parameters:\n    - object_name: Name of the object to apply the texture to\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\n    \n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"object_name":{"title":"Object Name","type":"string"},"texture_id":{"title":"Texture Id","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["object_name","texture_id"],"title":"set_textureArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_status","description":"\n    Check if PolyHaven integration is enabled in Blender.\n    Returns a message indicating whether PolyHaven features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_hyper3d_status","description":"\n    Check if Hyper3D Rodin integration is enabled in Blender.\n    Returns a message indicating whether Hyper3D Rodin features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hyper3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_status","description":"\n    Check if Sketchfab integration is enabled in Blender.\n    Returns a message indicating whether Sketchfab features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_sketchfab_statusArguments","type":"object"}}},{"type":"function","function":{"name":"search_sketchfab_models","description":"\n    Search for models on Sketchfab with optional filtering.\n\n    Parameters:\n    - query: Text to search for\n    - categories: Optional comma-separated list of categories\n    - count: Maximum number of results to return (default 20)\n    - downloadable: Whether to include only downloadable models (default True)\n\n    Returns a formatted list of matching models.\n    ","parameters":{"properties":{"query":{"title":"Query","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"count":{"default":20,"title":"Count","type":"integer"},"downloadable":{"default":true,"title":"Downloadable","type":"boolean"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["query"],"title":"search_sketchfab_modelsArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_model_preview","description":"\n    Get a preview thumbnail of a Sketchfab model by its UID.\n    Use this to visually confirm a model before downloading.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\n    \n    Returns the model's thumbnail as an Image for visual confirmation.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid"],"title":"get_sketchfab_model_previewArguments","type":"object"}}},{"type":"function","function":{"name":"download_sketchfab_model","description":"\n    Download and import a Sketchfab model by its UID.\n    The model will be scaled so its largest dimension equals target_size.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\n                  You must specify the desired size for the model.\n                  Examples:\n                  - Chair: target_size=1.0 (1 meter tall)\n                  - Table: target_size=0.75 (75cm tall)\n                  - Car: target_size=4.5 (4.5 meters long)\n                  - Person: target_size=1.7 (1.7 meters tall)\n                  - Small object (cup, phone): target_size=0.1 to 0.3\n    \n    Returns a message with import details including object names, dimensions, and bounding box.\n    The model must be downloadable and you must have proper access rights.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"target_size":{"title":"Target Size","type":"number"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid","target_size"],"title":"download_sketchfab_modelArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_text","description":"\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n\n    Parameters:\n    - text_prompt: A short description of the desired model in **English**.\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"text_prompt":{"title":"Text Prompt","type":"string"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["text_prompt"],"title":"generate_hyper3d_model_via_textArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_images","description":"\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n    \n    Parameters:\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"input_image_paths":{"default":null,"items":{"type":"string"},"title":"Input Image Paths","type":"array"},"input_image_urls":{"default":null,"items":{"type":"string"},"title":"Input Image Urls","type":"array"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"generate_hyper3d_model_via_imagesArguments","type":"object"}}},{"type":"function","function":{"name":"poll_rodin_job_status","description":"\n    Check if the Hyper3D Rodin generation task is completed.\n\n    For Hyper3D Rodin mode MAIN_SITE:\n        Parameters:\n        - subscription_key: The subscription_key given in the generate model step.\n\n        Returns a list of status. The task is done if all status are \"Done\".\n        If \"Failed\" showed up, the generating process failed.\n        This is a polling API, so only proceed if the status are finally determined (\"Done\" or \"Canceled\").\n\n    For Hyper3D Rodin mode FAL_AI:\n        Parameters:\n        - request_id: The request_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"COMPLETED\".\n        The task is in progress if status is \"IN_PROGRESS\".\n        If status other than \"COMPLETED\", \"IN_PROGRESS\", \"IN_QUEUE\" showed up, the generating process might be failed.\n        This is a polling API, so only proceed if the status are finally determined (\"COMPLETED\" or some failed state).\n    ","parameters":{"properties":{"subscription_key":{"default":null,"title":"Subscription Key","type":"string"},"request_id":{"default":null,"title":"Request Id","type":"string"}},"title":"poll_rodin_job_statusArguments","type":"object"}}},{"type":"function","function":{"name":"import_generated_asset","description":"\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\n\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\n    Return if the asset has been imported successfully.\n    ","parameters":{"properties":{"name":{"title":"Name","type":"string"},"task_uuid":{"default":null,"title":"Task Uuid","type":"string"},"request_id":{"default":null,"title":"Request Id","type":"string"}},"required":["name"],"title":"import_generated_assetArguments","type":"object"}}},{"type":"function","function":{"name":"get_hunyuan3d_status","description":"\n    Check if Hunyuan3D integration is enabled in Blender.\n    Returns a message indicating whether Hunyuan3D features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hunyuan3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hunyuan3d_model","description":"\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \n    or both for the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    \n    Parameters:\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\n\n    Returns: \n    - When successful, returns a JSON with job_id (format: \"job_xxx\") indicating the task is in progress\n    - When the job completes, the status will change to \"DONE\" indicating the model has been imported\n    - Returns error message if the operation fails\n    ","parameters":{"properties":{"text_prompt":{"default":null,"title":"Text Prompt","type":"string"},"input_image_url":{"default":null,"title":"Input Image Url","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"generate_hunyuan3d_modelArguments","type":"object"}}},{"type":"function","function":{"name":"poll_hunyuan_job_status","description":"\n    Check if the Hunyuan3D generation task is completed.\n\n    For Hunyuan3D:\n        Parameters:\n        - job_id: The job_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"DONE\".\n        The task is in progress if status is \"RUN\".\n        If status is \"DONE\", returns ResultFile3Ds, which is the generated ZIP model path\n        When the status is \"DONE\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\n        This is a polling API, so only proceed if the status are finally determined (\"DONE\" or some failed state).\n    ","parameters":{"properties":{"job_id":{"default":null,"title":"Job Id","type":"string"}},"title":"poll_hunyuan_job_statusArguments","type":"object"}}},{"type":"function","function":{"name":"import_generated_asset_hunyuan","description":"\n    Import the asset generated by Hunyuan3D after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - zip_file_url: The zip_file_url given in the generate model step.\n\n    Return if the asset has been imported successfully.\n    ","parameters":{"properties":{"name":{"title":"Name","type":"string"},"zip_file_url":{"title":"Zip File Url","type":"string"}},"required":["name","zip_file_url"],"title":"import_generated_asset_hunyuanArguments","type":"object"}}}]}"}, "response": {"status_code": 200, "headers": {"date": "Wed, 15 Jul 2026 10:43:25 GMT", "content-type": "application/json", "transfer-encoding": "chunked", "connection": "keep-alive", "access-control-allow-origin": "*", "x-generation-id": "gen-1784112204-oWGCps5ZTyGJw9WvoA48", "access-control-expose-headers": "X-Generation-Id,X-Provider-Name,cf-ray", "set-cookie": "[REDACTED]", "permissions-policy": "payment=(self \"https://checkout.stripe.com\" \"https://connect-js.stripe.com\" \"https://js.stripe.com\" \"https://*.js.stripe.com\" \"https://hooks.stripe.com\")", "referrer-policy": "no-referrer, strict-origin-when-cross-origin", "x-content-type-options": "nosniff", "content-encoding": "gzip", "server": "cloudflare", "cf-ray": "a1b82a7f8df1014c-MAD"}, "body": "\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n\n         \n{\"id\":\"gen-1784112204-oWGCps5ZTyGJw9WvoA48\",\"object\":\"chat.completion\",\"created\":1784112204,\"model\":\"openai/gpt-5.6-luna\",\"provider\":\"OpenAI\",\"system_fingerprint\":null,\"service_tier\":\"default\",\"choices\":[{\"index\":0,\"logprobs\":null,\"finish_reason\":\"tool_calls\",\"native_finish_reason\":\"completed\",\"message\":{\"role\":\"assistant\",\"content\":null,\"refusal\":null,\"reasoning\":null,\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"id\":\"call_s9v2v9ySjVU6WCYi6Ln00BCX\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, math, random\\\\nfrom mathutils import Vector\\\\nrandom.seed(12)\\\\n# clear\\\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\\\nfor d in (bpy.data.materials, bpy.data.curves, bpy.data.meshes, bpy.data.cameras, bpy.data.lights):\\\\n    pass\\\\n# mats\\\\ndef mat(name,color,rough=0.8,metal=0):\\\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True\\\\n bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal\\\\n return m\\\\nwall=mat('Weathered plaster',(0.27,0.25,0.20)); wall2=mat('Faded ochre plaster',(0.34,0.29,0.20)); wood=mat('Dark rotting timber',(0.12,0.07,0.035)); roof=mat('Rust corroded metal',(0.20,0.075,0.035),.62,.55); roof2=mat('Old blue rust',(0.10,0.13,0.13),.7,.4); dark=mat('Window darkness',(0.012,0.018,0.015)); glass=mat('Broken glass',(0.12,0.22,0.20),.25); moss=mat('Moss',(0.12,0.22,0.07)); vine=mat('Ivy leaves',(0.08,0.18,0.035)); grass=mat('Wild grass',(0.16,0.28,0.06)); earth=mat('Earth',(0.12,0.085,0.045)); stone=mat('Mossy stones',(0.24,0.25,0.18)); leaf=mat('Tree foliage',(0.06,0.15,0.035));\\\\ndef cube(n,loc,scale,ma,bev=0):\\\\n bpy.ops.mesh.primitive_cube_add(location=loc); o=bpy.context.object; o.name=n; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\\\n if bev: mod=o.modifiers.new('soft eroded edges','BEVEL'); mod.width=bev; mod.segments=2\\\\n o.data.materials.append(ma); return o\\\\ndef cyl(n,loc,r,depth,ma,verts=8):\\\\n bpy.ops.mesh.primitive_cylinder_add(vertices=verts,radius=r,depth=depth,location=loc); o=bpy.context.object;o.name=n;o.data.materials.append(ma); return o\\\\ndef uv(n,loc,scale,ma):\\\\n bpy.ops.mesh.primitive_ico_sphere_add(subdivisions=1,radius=1,location=loc);o=bpy.context.object;o.name=n;o.scale=scale;o.data.materials.append(ma);return o\\\\ndef curve(n,pts,bevel,ma):\\\\n cu=bpy.data.curves.new(n,'CURVE');cu.dimensions='3D';cu.bevel_depth=bevel;cu.bevel_resolution=2; sp=cu.splines.new('BEZIER');sp.bezier_points.add(len(pts)-1)\\\\n for p,co in zip(sp.bezier_points,pts): p.co=co;p.handle_left_type='AUTO';p.handle_right_type='AUTO'\\\\n o=bpy.data.objects.new(n,cu);bpy.context.collection.objects.link(o);o.data.materials.append(ma);return o\\\\n# ground\\\\ncube('Earth clearing',(0,0,-0.35),(10,8,.35),earth,.15)\\\\n# cobbled path\\\\nfor i in range(22):\\\\n x=-7+i*.55+random.uniform(-.12,.12); y=-5.8+random.uniform(-.35,.35)\\\\n cube('buried cobble',(x,y,0.05),(0.25+random.random()*.18,.32,.08),stone,.08).rotation_euler[2]=random.uniform(-.3,.3)\\\\n# house function orientation z, dimensions\\\\n\\\\ndef house(name,x,y,w,d,h,ang,ma,roofmat,broken=True):\\\\n # parent empty\\\\n base=cube(name+' walls',(x,y,h/2),(w/2,d/2,h/2),ma,.08); base.rotation_euler[2]=ang\\\\n # roof two slabs pitched along x local, ridge along y\\\\n for side in (-1,1):\\\\n  r=cube(name+' rusted roof',(x+side*0.30*math.cos(ang),y+side*0.30*math.sin(ang),h+0.72),(w*.40,d/2+.22,.10),roofmat,.035)\\\\n  r.rotation_euler[2]=ang; r.rotation_euler[1]=side*math.radians(32)\\\\n # ridge\\\\n ridge=cube(name+' roof ridge',(x,y,h+1.02),(.13,d/2+.3,.13),roofmat,.03); ridge.rotation_euler[2]=ang\\\\n # doors and windows as dark planes placed on front/back using local coords\\\\n # front y local -d/2\\\\n for lx in (-w*.27,w*.27):\\\\n  px=x+lx*math.cos(ang)-(-d/2-.012)*math.sin(ang); py=y+lx*math.sin(ang)+(-d/2-.012)*math.cos(ang)\\\\n  q=cube(name+' broken window',(px,py,h*.56),(w*.13,.025,h*.16),dark,.02);q.rotation_euler[2]=ang\\\\n  # crooked frame\\\\n  for xx in (-w*.13,w*.13):\\\\n   fx=x+(lx+xx)*math.cos(ang)-(-d/2-.045)*math.sin(ang);fy=y+(lx+xx)*math.sin(ang)+(-d/2-.045)*math.cos(ang)\\\\n   f=cube('splintered window frame',(fx,fy,h*.56),(.025,.04,h*.18),wood);f.rotation_euler[2]=ang\\\\n  # cross diagonal broken glass\\\\n  p1=(x+(lx-w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx-w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.48)\\\\n  p2=(x+(lx+w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx+w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.64)\\\\n  curve('cracked window',[p1,p2],.012,glass)\\\\n # door\\\\n px=x- w*.12*math.cos(ang)-(-d/2-.02)*math.sin(ang);py=y-w*.12*math.sin(ang)+(-d/2-.02)*math.cos(ang)\\\\n door=cube(name+' sagging door',(px,py,h*.34),(w*.18,.035,h*.34),wood,.03);door.rotation_euler[2]=ang\\\\n # timber braces on front\\\\n for z in (h*.25,h*.72):\\\\n  b=cube(name+' exposed beam',(x,y-d/2-.06,z), (w/2,.07,.06),wood);b.rotation_euler[2]=ang\\\\n # moss patches along base\\\\n for i in range(7):\\\\n  lx=random.uniform(-w/2,w/2); side=random.choice([-1,1]); px=x+lx*math.cos(ang)-side*d/2*math.sin(ang);py=y+lx*math.sin(ang)+side*d/2*math.cos(ang)\\\\n  uv('moss on wall',(px,py+random.uniform(-.04,.04),random.uniform(.25,.65)),(.18,.06,.13),moss)\\\\n return base\\\\nhouse('North cottage',0,1.9,4.2,3.0,2.8,.08,wall,roof)\\\\nhouse('West cottage',-5,1.0,3.5,2.8,2.5,-.18,wall2,roof2)\\\\nhouse('East cottage',5,2.8,3.3,2.6,2.35,.25,wall,roof)\\\\n# collapsed shed / ruin\\\\ncube('collapsed stone wall',(1.7,-2.0,1.0),(2.0,.28,1.0),stone,.08); cube('fallen roof',(2,-2.0,2.15),(1.8,1.2,.12),roof,.05).rotation_euler[1]=.18\\\\n# roof corrugation bars and rust patches across visible roofs\\\\nfor hx,hy,w,d,h,ang in [(0,1.9,4.2,3,2.8,.08),(-5,1,3.5,2.8,2.5,-.18),(5,2.8,3.3,2.6,2.35,.25)]:\\\\n for side in (-1,1):\\\\n  for j in range(7):\\\\n   ly=-d/2+j*d/6; # local y\\\\n   xx=hx+side*.30*math.cos(ang)-ly*math.sin(ang); yy=hy+side*.30*math.sin(ang)+ly*math.cos(ang)\\\\n   bar=cube('roof corrugation',(xx,yy,h+.72+abs(.30)*.0),(w*.39,.018,.035),roof2 if side<0 else roof,.02);bar.rotation_euler[2]=ang;bar.rotation_euler[1]=side*math.radians(32)\\\\n# vegetation grass clumps\\\\nfor i in range(150):\\\\n x=random.uniform(-9,9); y=random.uniform(-6.5,6.5)\\\\n if random.random()<.55 and y>4: continue\\\\n z=.05\\\\n for k in range(random.randint(2,5)):\\\\n  xx=x+random.uniform(-.18,.18); yy=y+random.uniform(-.18,.18); ht=random.uniform(.18,.55)\\\\n  curve('grass blade',[(xx,yy,z),(xx+random.uniform(-.12,.12),yy, z+ht*.65),(xx+random.uniform(-.18,.18),yy,z+ht)],.018,grass)\\\\n# vines climbing fronts and roof edges\\\\nfor x,y in [(-1.7,.35),(1.5,.35),(-6.3,-.4),(4.1,1.4),(6.1,3.0)]:\\\\n pts=[(x,y-.04,.15),(x+.12,y-.05,.9),(x-.08,y-.03,1.7),(x+.18,y-.05,2.45),(x+.35,y-.1,3.25)]\\\\n curve('climbing vine',pts,.035,vine)\\\\n for p in pts[1:]: uv('ivy leaf',(p[0]+random.uniform(-.12,.12),p[1]-.05,p[2]),(.13,.04,.09),vine)\\\\n# back trees\\\\nfor x,y in [(-8,5.5),(-6,6.2),(7,5.8),(8,3.8)]:\\\\n cyl('dead tree trunk',(x,y,2.0),.22,4,wood,7)\\\\n curve('gnarled branch',[(x,y,3),(x+random.uniform(-1,1),y,4),(x+random.uniform(-1.5,1.5),y,5)],.10,wood)\\\\n for k in range(8): uv('wild tree crown',(x+random.uniform(-1.4,1.4),y+random.uniform(-.4,.5),4.4+random.uniform(-.4,1.2)),(.7,.55,.65),leaf)\\\\n# stones foreground\\\\nfor i in range(24):\\\\n x=random.uniform(-8,8); y=random.uniform(-6,-2); uv('mossy stone',(x,y,.18),(random.uniform(.12,.35),random.uniform(.12,.3),random.uniform(.1,.25)),stone)\\\\n# camera\\\\nbpy.ops.object.camera_add(location=(11,-15,10)); cam=bpy.context.object;cam.name='Presentation Camera';bpy.context.scene.camera=cam\\\\ndef track(obj,pt): obj.rotation_euler=(Vector(pt)-obj.location).to_track_quat('-Z','Y').to_euler()\\\\ntrack(cam,(0,1,1.8));cam.data.lens=48\\\\n# lighting\\\\nbpy.ops.object.light_add(type='AREA', location=(2,-4,11)); key=bpy.context.object;key.name='Soft moonlight';key.data.energy=1500;key.data.shape='DISK';key.data.size=8;track(key,(0,1,0))\\\\nbpy.ops.object.light_add(type='AREA', location=(-8,-3,5)); fill=bpy.context.object;fill.data.energy=700;fill.data.color=(0.32,0.45,0.55);fill.data.size=7;track(fill,(0,1,1))\\\\nbpy.ops.object.light_add(type='POINT', location=(0,-2,3));bpy.context.object.data.energy=180;bpy.context.object.data.color=(1.0,.32,.10)\\\\n# world\\\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World');bpy.context.scene.world=world;world.use_nodes=True;world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\\\nscene=bpy.context.scene;scene.render.engine='BLENDER_EEVEE_NEXT';scene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\\\nscene.view_settings.look='AgX - Medium High Contrast'\\\\n# ground fog-like large plane? no\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('DONE scene',len(bpy.context.scene.objects))\\\",\\\"user_prompt\\\":\\\"Create an abandoned village slowly reclaimed by nature with weathered houses, rusted roofs, broken windows, moss, grass, vines, and a clear presentation render.\\\"}\"}}],\"reasoning_details\":[{\"type\":\"reasoning.encrypted\",\"data\":\"gAAAAABqV2RQNXVu5X45ixtOBeNB2Gf2KWLOp14P_ablrweCP-zHDxVu10nkpQhHDGCrXe-euO3JbkDhoo8FXfpcWO-XcBdW5tRm--6K0_JTX3YAhl5VRliIEKZf4fBXMuUCGjoQyr7G5EsFA-anBlFZgMkKRU3YdggFOSBv67Io5S0IzajQJtYMre1CHfcrm9TU2WK_EvexGMaWWuahfOnIi3T6hMWYf5T0SAvf14V2aPeaFRd0GkpjTZNeRKx8MO9XwW6lRtihpHD4E5KZ-KgGNRlUuLtsB4gg0Zqy0qzFzuGsYO50NcIajY0S1ap80ja1rFFq2IufHlc7_I4wl-aq3b9dGqeopLjV93Lh9ViL9x6mSTi5ATVQXge5NxAlzK1CYJ81J_uwy9iDBXrgRbRWIbRGyPjQqOyLuuBxihcb1C6tzkEymcAMsuzu3xYCl4m4gKrZXkFDaHhzjmYgfPJpL5A2ra0EobZ__H0rELhrWEweyDNmcWZvWQF8xZpPYj5rbK0xsVGt3_CwU12SfCkHYcvBfb-Gm6_HAY9FhtDtfzdBobjrd1WLsIv5IijiJ95R2b2ePU4jgUGDnoeqXujhgna1EuUgJUIAAhzkoKxFni7GktZhUvoyk6_cVi9DfjmzzH5YlRRqD8S03lENS-QZzdZRzOSkUkG_CGKTnPc--DDHkY5FzJn8LPc4P6ppKycyQl9ZkGqmoqkan3lJADW3UKnxmgV24J-RhxjhyFkLE7On4FKGKCCQuqR8M5X1d9wnrLO5WzQC10pgLU7qI1j6A_OcXz15LNl_Mk0bWg6C7y9qdLWvqPO8Hnd4PRCpph84BOjXJ45M8LgiB-xHCgmTNSYvlUt-8ozNTdc_dNTHLpJu8hAKlrOMovvQjyRhbVR1fyZWfPx8oFllJL0RWSpxDCBr_WPX7IahKXlELBVfePjVkOox97akeR_MEQ8FCFSaDQwQJBGQuVqA2euMQxNSqZ36EAkRjttJR7Id6fAKjtPqUOw6LcZYVPkNRKtLUI9m14lqkxsjpPpeL3j4_Q_185HEAkJkUZZpiS8ZWUriRg__a0LcpAu2Sggp7KrbBYvDp4zBhFqbIZ0xlvRS8CXBze1G3s_GYcjcaQavelc6N1ZtPvCP7rdxtvwCtZZEm_bbAb_ogKyEz1_e_5B6E-AC2K7ZYeThlPPjsG3b2vTnfoPD5xVu5N28c_oM3EGmEJzn3DNb-YPNXMBWIpMfwDVSkOL-8B61juKH_QgWq7GGtlmGe50AifBO7jCbgWEKMSnXbtOm6tOwsU1NnwL4uyg60vF5QPR3IXaG5Cbo-Tc8Q1wjrteRd-BQbCyLOG6F3v-bBZz5QXCRO9GmRy1ngYHD2jk6IgNocS8ey7-mpTAl28nQjEvU0sfQcCIxJtQ40tcgfp-hAJOes1VVIZ8AAtdJkcDixXV_DFn0pffKpzqFM5RBuUwwit3zvTwZthOxUXMizNgmkqKU2msd2au9RnHoeKsPhf7udQxnfCegbAZIPVRA_kNpdACraSoqy55fGFvmq0FDqCIhN9wfWt5mrXVEoacFgtEwfGq7iqU9fOJfQUsPooUm2ZFdHLSXnXYQVmcu78LmoC3ZNMiCbKAEgUWeWq8zX1OqkSQvl-TE05qnerBoDv4FJKV3kd0OgA-_a-qMLRrjV4nFdy7Pu7mbVuzFEGsnPSdqF30o3XeLXMrX8seUo9RMY82XppYXsAHSDq7doV3ZW6A_yiFJJOMnGm7_cwKlVXVfN7MNUPH7__NzkyuwTfpOm3Pru7KhwV_i3ep91kola4XFh71iYIt3b4jqU3WCFNSHJHeeG8qkCQCZZ-wi46Qipa01jUU7Eqt18xmipC-4jYzHFr-cKPfTb0H4P_41tPSI0qJJ9LUc02PKVYrxcp9rdwmRRnMsnBE6hsRCb1OsULACkO8UCOXOStJZFUPSvvv79ricDvAE8c_4_5YcOINrM00BFFRHqPf3vxkQx43XhwgH0R6ScljBKYfUgb5xKLcCSFCJJgFhZuLsudYvNrCvxsy8-HrdFASrgaWMPA3E50YCiYjvUSBEeoIsyIfcZkyLx7fpLDUHLIQl3ToySZsUy8N3XqT7dbZTWc8eXFPD4QMwLyLHqVJLPMgyyLj0NUiDaxDdRixVfDWSEXBo9AhGgrI6NS0-ilgBTMSwHotgMoHxnNfBL-9W5w6bvoAxS3iqWu-fArToy60QOA_4JzmcFEyLkYuw147_Y9hp5YTaJh2Dn8GVkiQrq4kXgycabQOd-g==\",\"format\":\"openai-responses-v1\",\"id\":\"rs_017b746f7fa35a8e016a57644d83a08197937e8d740128cee6\",\"index\":0}]}}],\"usage\":{\"prompt_tokens\":3399,\"completion_tokens\":3425,\"total_tokens\":6824,\"cost\":0.024798,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":0,\"cache_write_tokens\":3396,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.024798,\"upstream_inference_prompt_cost\":0.004248,\"upstream_inference_completions_cost\":0.02055},\"completion_tokens_details\":{\"reasoning_tokens\":201,\"image_tokens\":0,\"audio_tokens\":0}}}", 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{"id":"gen-1784112204-oWGCps5ZTyGJw9WvoA48","object":"chat.completion","created":1784112204,"model":"openai/gpt-5.6-luna","provider":"OpenAI","system_fingerprint":null,"service_tier":"default","choices":[{"index":0,"logprobs":null,"finish_reason":"tool_calls","native_finish_reason":"completed","message":{"role":"assistant","content":null,"refusal":null,"reasoning":null,"tool_calls":[{"type":"function","index":0,"id":"call_s9v2v9ySjVU6WCYi6Ln00BCX","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, math, random\\nfrom mathutils import Vector\\nrandom.seed(12)\\n# clear\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\nfor d in (bpy.data.materials, bpy.data.curves, bpy.data.meshes, bpy.data.cameras, bpy.data.lights):\\n    pass\\n# mats\\ndef mat(name,color,rough=0.8,metal=0):\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True\\n bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal\\n return m\\nwall=mat('Weathered plaster',(0.27,0.25,0.20)); wall2=mat('Faded ochre plaster',(0.34,0.29,0.20)); wood=mat('Dark rotting timber',(0.12,0.07,0.035)); roof=mat('Rust corroded metal',(0.20,0.075,0.035),.62,.55); roof2=mat('Old blue rust',(0.10,0.13,0.13),.7,.4); dark=mat('Window darkness',(0.012,0.018,0.015)); glass=mat('Broken glass',(0.12,0.22,0.20),.25); moss=mat('Moss',(0.12,0.22,0.07)); vine=mat('Ivy leaves',(0.08,0.18,0.035)); grass=mat('Wild grass',(0.16,0.28,0.06)); earth=mat('Earth',(0.12,0.085,0.045)); stone=mat('Mossy stones',(0.24,0.25,0.18)); leaf=mat('Tree foliage',(0.06,0.15,0.035));\\ndef cube(n,loc,scale,ma,bev=0):\\n bpy.ops.mesh.primitive_cube_add(location=loc); o=bpy.context.object; o.name=n; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\n if bev: mod=o.modifiers.new('soft eroded edges','BEVEL'); mod.width=bev; mod.segments=2\\n o.data.materials.append(ma); return o\\ndef cyl(n,loc,r,depth,ma,verts=8):\\n bpy.ops.mesh.primitive_cylinder_add(vertices=verts,radius=r,depth=depth,location=loc); o=bpy.context.object;o.name=n;o.data.materials.append(ma); return o\\ndef uv(n,loc,scale,ma):\\n bpy.ops.mesh.primitive_ico_sphere_add(subdivisions=1,radius=1,location=loc);o=bpy.context.object;o.name=n;o.scale=scale;o.data.materials.append(ma);return o\\ndef curve(n,pts,bevel,ma):\\n cu=bpy.data.curves.new(n,'CURVE');cu.dimensions='3D';cu.bevel_depth=bevel;cu.bevel_resolution=2; sp=cu.splines.new('BEZIER');sp.bezier_points.add(len(pts)-1)\\n for p,co in zip(sp.bezier_points,pts): p.co=co;p.handle_left_type='AUTO';p.handle_right_type='AUTO'\\n o=bpy.data.objects.new(n,cu);bpy.context.collection.objects.link(o);o.data.materials.append(ma);return o\\n# ground\\ncube('Earth clearing',(0,0,-0.35),(10,8,.35),earth,.15)\\n# cobbled path\\nfor i in range(22):\\n x=-7+i*.55+random.uniform(-.12,.12); y=-5.8+random.uniform(-.35,.35)\\n cube('buried cobble',(x,y,0.05),(0.25+random.random()*.18,.32,.08),stone,.08).rotation_euler[2]=random.uniform(-.3,.3)\\n# house function orientation z, dimensions\\n\\ndef house(name,x,y,w,d,h,ang,ma,roofmat,broken=True):\\n # parent empty\\n base=cube(name+' walls',(x,y,h/2),(w/2,d/2,h/2),ma,.08); base.rotation_euler[2]=ang\\n # roof two slabs pitched along x local, ridge along y\\n for side in (-1,1):\\n  r=cube(name+' rusted roof',(x+side*0.30*math.cos(ang),y+side*0.30*math.sin(ang),h+0.72),(w*.40,d/2+.22,.10),roofmat,.035)\\n  r.rotation_euler[2]=ang; r.rotation_euler[1]=side*math.radians(32)\\n # ridge\\n ridge=cube(name+' roof ridge',(x,y,h+1.02),(.13,d/2+.3,.13),roofmat,.03); ridge.rotation_euler[2]=ang\\n # doors and windows as dark planes placed on front/back using local coords\\n # front y local -d/2\\n for lx in (-w*.27,w*.27):\\n  px=x+lx*math.cos(ang)-(-d/2-.012)*math.sin(ang); py=y+lx*math.sin(ang)+(-d/2-.012)*math.cos(ang)\\n  q=cube(name+' broken window',(px,py,h*.56),(w*.13,.025,h*.16),dark,.02);q.rotation_euler[2]=ang\\n  # crooked frame\\n  for xx in (-w*.13,w*.13):\\n   fx=x+(lx+xx)*math.cos(ang)-(-d/2-.045)*math.sin(ang);fy=y+(lx+xx)*math.sin(ang)+(-d/2-.045)*math.cos(ang)\\n   f=cube('splintered window frame',(fx,fy,h*.56),(.025,.04,h*.18),wood);f.rotation_euler[2]=ang\\n  # cross diagonal broken glass\\n  p1=(x+(lx-w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx-w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.48)\\n  p2=(x+(lx+w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx+w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.64)\\n  curve('cracked window',[p1,p2],.012,glass)\\n # door\\n px=x- w*.12*math.cos(ang)-(-d/2-.02)*math.sin(ang);py=y-w*.12*math.sin(ang)+(-d/2-.02)*math.cos(ang)\\n door=cube(name+' sagging door',(px,py,h*.34),(w*.18,.035,h*.34),wood,.03);door.rotation_euler[2]=ang\\n # timber braces on front\\n for z in (h*.25,h*.72):\\n  b=cube(name+' exposed beam',(x,y-d/2-.06,z), (w/2,.07,.06),wood);b.rotation_euler[2]=ang\\n # moss patches along base\\n for i in range(7):\\n  lx=random.uniform(-w/2,w/2); side=random.choice([-1,1]); px=x+lx*math.cos(ang)-side*d/2*math.sin(ang);py=y+lx*math.sin(ang)+side*d/2*math.cos(ang)\\n  uv('moss on wall',(px,py+random.uniform(-.04,.04),random.uniform(.25,.65)),(.18,.06,.13),moss)\\n return base\\nhouse('North cottage',0,1.9,4.2,3.0,2.8,.08,wall,roof)\\nhouse('West cottage',-5,1.0,3.5,2.8,2.5,-.18,wall2,roof2)\\nhouse('East cottage',5,2.8,3.3,2.6,2.35,.25,wall,roof)\\n# collapsed shed / ruin\\ncube('collapsed stone wall',(1.7,-2.0,1.0),(2.0,.28,1.0),stone,.08); cube('fallen roof',(2,-2.0,2.15),(1.8,1.2,.12),roof,.05).rotation_euler[1]=.18\\n# roof corrugation bars and rust patches across visible roofs\\nfor hx,hy,w,d,h,ang in [(0,1.9,4.2,3,2.8,.08),(-5,1,3.5,2.8,2.5,-.18),(5,2.8,3.3,2.6,2.35,.25)]:\\n for side in (-1,1):\\n  for j in range(7):\\n   ly=-d/2+j*d/6; # local y\\n   xx=hx+side*.30*math.cos(ang)-ly*math.sin(ang); yy=hy+side*.30*math.sin(ang)+ly*math.cos(ang)\\n   bar=cube('roof corrugation',(xx,yy,h+.72+abs(.30)*.0),(w*.39,.018,.035),roof2 if side<0 else roof,.02);bar.rotation_euler[2]=ang;bar.rotation_euler[1]=side*math.radians(32)\\n# vegetation grass clumps\\nfor i in range(150):\\n x=random.uniform(-9,9); y=random.uniform(-6.5,6.5)\\n if random.random()<.55 and y>4: continue\\n z=.05\\n for k in range(random.randint(2,5)):\\n  xx=x+random.uniform(-.18,.18); yy=y+random.uniform(-.18,.18); ht=random.uniform(.18,.55)\\n  curve('grass blade',[(xx,yy,z),(xx+random.uniform(-.12,.12),yy, z+ht*.65),(xx+random.uniform(-.18,.18),yy,z+ht)],.018,grass)\\n# vines climbing fronts and roof edges\\nfor x,y in [(-1.7,.35),(1.5,.35),(-6.3,-.4),(4.1,1.4),(6.1,3.0)]:\\n pts=[(x,y-.04,.15),(x+.12,y-.05,.9),(x-.08,y-.03,1.7),(x+.18,y-.05,2.45),(x+.35,y-.1,3.25)]\\n curve('climbing vine',pts,.035,vine)\\n for p in pts[1:]: uv('ivy leaf',(p[0]+random.uniform(-.12,.12),p[1]-.05,p[2]),(.13,.04,.09),vine)\\n# back trees\\nfor x,y in [(-8,5.5),(-6,6.2),(7,5.8),(8,3.8)]:\\n cyl('dead tree trunk',(x,y,2.0),.22,4,wood,7)\\n curve('gnarled branch',[(x,y,3),(x+random.uniform(-1,1),y,4),(x+random.uniform(-1.5,1.5),y,5)],.10,wood)\\n for k in range(8): uv('wild tree crown',(x+random.uniform(-1.4,1.4),y+random.uniform(-.4,.5),4.4+random.uniform(-.4,1.2)),(.7,.55,.65),leaf)\\n# stones foreground\\nfor i in range(24):\\n x=random.uniform(-8,8); y=random.uniform(-6,-2); uv('mossy stone',(x,y,.18),(random.uniform(.12,.35),random.uniform(.12,.3),random.uniform(.1,.25)),stone)\\n# camera\\nbpy.ops.object.camera_add(location=(11,-15,10)); cam=bpy.context.object;cam.name='Presentation Camera';bpy.context.scene.camera=cam\\ndef track(obj,pt): obj.rotation_euler=(Vector(pt)-obj.location).to_track_quat('-Z','Y').to_euler()\\ntrack(cam,(0,1,1.8));cam.data.lens=48\\n# lighting\\nbpy.ops.object.light_add(type='AREA', location=(2,-4,11)); key=bpy.context.object;key.name='Soft moonlight';key.data.energy=1500;key.data.shape='DISK';key.data.size=8;track(key,(0,1,0))\\nbpy.ops.object.light_add(type='AREA', location=(-8,-3,5)); fill=bpy.context.object;fill.data.energy=700;fill.data.color=(0.32,0.45,0.55);fill.data.size=7;track(fill,(0,1,1))\\nbpy.ops.object.light_add(type='POINT', location=(0,-2,3));bpy.context.object.data.energy=180;bpy.context.object.data.color=(1.0,.32,.10)\\n# world\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World');bpy.context.scene.world=world;world.use_nodes=True;world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nscene=bpy.context.scene;scene.render.engine='BLENDER_EEVEE_NEXT';scene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\n# ground fog-like large plane? no\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('DONE scene',len(bpy.context.scene.objects))\",\"user_prompt\":\"Create an abandoned village slowly reclaimed by nature with weathered houses, rusted roofs, broken windows, moss, grass, vines, and a clear presentation render.\"}"}}],"reasoning_details":[{"type":"reasoning.encrypted","data":"gAAAAABqV2RQNXVu5X45ixtOBeNB2Gf2KWLOp14P_ablrweCP-zHDxVu10nkpQhHDGCrXe-euO3JbkDhoo8FXfpcWO-XcBdW5tRm--6K0_JTX3YAhl5VRliIEKZf4fBXMuUCGjoQyr7G5EsFA-anBlFZgMkKRU3YdggFOSBv67Io5S0IzajQJtYMre1CHfcrm9TU2WK_EvexGMaWWuahfOnIi3T6hMWYf5T0SAvf14V2aPeaFRd0GkpjTZNeRKx8MO9XwW6lRtihpHD4E5KZ-KgGNRlUuLtsB4gg0Zqy0qzFzuGsYO50NcIajY0S1ap80ja1rFFq2IufHlc7_I4wl-aq3b9dGqeopLjV93Lh9ViL9x6mSTi5ATVQXge5NxAlzK1CYJ81J_uwy9iDBXrgRbRWIbRGyPjQqOyLuuBxihcb1C6tzkEymcAMsuzu3xYCl4m4gKrZXkFDaHhzjmYgfPJpL5A2ra0EobZ__H0rELhrWEweyDNmcWZvWQF8xZpPYj5rbK0xsVGt3_CwU12SfCkHYcvBfb-Gm6_HAY9FhtDtfzdBobjrd1WLsIv5IijiJ95R2b2ePU4jgUGDnoeqXujhgna1EuUgJUIAAhzkoKxFni7GktZhUvoyk6_cVi9DfjmzzH5YlRRqD8S03lENS-QZzdZRzOSkUkG_CGKTnPc--DDHkY5FzJn8LPc4P6ppKycyQl9ZkGqmoqkan3lJADW3UKnxmgV24J-RhxjhyFkLE7On4FKGKCCQuqR8M5X1d9wnrLO5WzQC10pgLU7qI1j6A_OcXz15LNl_Mk0bWg6C7y9qdLWvqPO8Hnd4PRCpph84BOjXJ45M8LgiB-xHCgmTNSYvlUt-8ozNTdc_dNTHLpJu8hAKlrOMovvQjyRhbVR1fyZWfPx8oFllJL0RWSpxDCBr_WPX7IahKXlELBVfePjVkOox97akeR_MEQ8FCFSaDQwQJBGQuVqA2euMQxNSqZ36EAkRjttJR7Id6fAKjtPqUOw6LcZYVPkNRKtLUI9m14lqkxsjpPpeL3j4_Q_185HEAkJkUZZpiS8ZWUriRg__a0LcpAu2Sggp7KrbBYvDp4zBhFqbIZ0xlvRS8CXBze1G3s_GYcjcaQavelc6N1ZtPvCP7rdxtvwCtZZEm_bbAb_ogKyEz1_e_5B6E-AC2K7ZYeThlPPjsG3b2vTnfoPD5xVu5N28c_oM3EGmEJzn3DNb-YPNXMBWIpMfwDVSkOL-8B61juKH_QgWq7GGtlmGe50AifBO7jCbgWEKMSnXbtOm6tOwsU1NnwL4uyg60vF5QPR3IXaG5Cbo-Tc8Q1wjrteRd-BQbCyLOG6F3v-bBZz5QXCRO9GmRy1ngYHD2jk6IgNocS8ey7-mpTAl28nQjEvU0sfQcCIxJtQ40tcgfp-hAJOes1VVIZ8AAtdJkcDixXV_DFn0pffKpzqFM5RBuUwwit3zvTwZthOxUXMizNgmkqKU2msd2au9RnHoeKsPhf7udQxnfCegbAZIPVRA_kNpdACraSoqy55fGFvmq0FDqCIhN9wfWt5mrXVEoacFgtEwfGq7iqU9fOJfQUsPooUm2ZFdHLSXnXYQVmcu78LmoC3ZNMiCbKAEgUWeWq8zX1OqkSQvl-TE05qnerBoDv4FJKV3kd0OgA-_a-qMLRrjV4nFdy7Pu7mbVuzFEGsnPSdqF30o3XeLXMrX8seUo9RMY82XppYXsAHSDq7doV3ZW6A_yiFJJOMnGm7_cwKlVXVfN7MNUPH7__NzkyuwTfpOm3Pru7KhwV_i3ep91kola4XFh71iYIt3b4jqU3WCFNSHJHeeG8qkCQCZZ-wi46Qipa01jUU7Eqt18xmipC-4jYzHFr-cKPfTb0H4P_41tPSI0qJJ9LUc02PKVYrxcp9rdwmRRnMsnBE6hsRCb1OsULACkO8UCOXOStJZFUPSvvv79ricDvAE8c_4_5YcOINrM00BFFRHqPf3vxkQx43XhwgH0R6ScljBKYfUgb5xKLcCSFCJJgFhZuLsudYvNrCvxsy8-HrdFASrgaWMPA3E50YCiYjvUSBEeoIsyIfcZkyLx7fpLDUHLIQl3ToySZsUy8N3XqT7dbZTWc8eXFPD4QMwLyLHqVJLPMgyyLj0NUiDaxDdRixVfDWSEXBo9AhGgrI6NS0-ilgBTMSwHotgMoHxnNfBL-9W5w6bvoAxS3iqWu-fArToy60QOA_4JzmcFEyLkYuw147_Y9hp5YTaJh2Dn8GVkiQrq4kXgycabQOd-g==","format":"openai-responses-v1","id":"rs_017b746f7fa35a8e016a57644d83a08197937e8d740128cee6","index":0}]}}],"usage":{"prompt_tokens":3399,"completion_tokens":3425,"total_tokens":6824,"cost":0.024798,"is_byok":false,"prompt_tokens_details":{"cached_tokens":0,"cache_write_tokens":3396,"audio_tokens":0,"video_tokens":0},"cost_details":{"upstream_inference_cost":0.024798,"upstream_inference_prompt_cost":0.004248,"upstream_inference_completions_cost":0.02055},"completion_tokens_details":{"reasoning_tokens":201,"image_tokens":0,"audio_tokens":0}}}"}, "error": null}], "response": {"text": null, "tool_calls": [{"id": "call_s9v2v9ySjVU6WCYi6Ln00BCX", "name": "execute_blender_code", "arguments": {"code": "import bpy, math, random\nfrom mathutils import Vector\nrandom.seed(12)\n# clear\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\nfor d in (bpy.data.materials, bpy.data.curves, bpy.data.meshes, bpy.data.cameras, bpy.data.lights):\n    pass\n# mats\ndef mat(name,color,rough=0.8,metal=0):\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True\n bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal\n return m\nwall=mat('Weathered plaster',(0.27,0.25,0.20)); wall2=mat('Faded ochre plaster',(0.34,0.29,0.20)); wood=mat('Dark rotting timber',(0.12,0.07,0.035)); roof=mat('Rust corroded metal',(0.20,0.075,0.035),.62,.55); roof2=mat('Old blue rust',(0.10,0.13,0.13),.7,.4); dark=mat('Window darkness',(0.012,0.018,0.015)); glass=mat('Broken glass',(0.12,0.22,0.20),.25); moss=mat('Moss',(0.12,0.22,0.07)); vine=mat('Ivy leaves',(0.08,0.18,0.035)); grass=mat('Wild grass',(0.16,0.28,0.06)); earth=mat('Earth',(0.12,0.085,0.045)); stone=mat('Mossy stones',(0.24,0.25,0.18)); leaf=mat('Tree foliage',(0.06,0.15,0.035));\ndef cube(n,loc,scale,ma,bev=0):\n bpy.ops.mesh.primitive_cube_add(location=loc); o=bpy.context.object; o.name=n; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\n if bev: mod=o.modifiers.new('soft eroded edges','BEVEL'); mod.width=bev; mod.segments=2\n o.data.materials.append(ma); return o\ndef cyl(n,loc,r,depth,ma,verts=8):\n bpy.ops.mesh.primitive_cylinder_add(vertices=verts,radius=r,depth=depth,location=loc); o=bpy.context.object;o.name=n;o.data.materials.append(ma); return o\ndef uv(n,loc,scale,ma):\n bpy.ops.mesh.primitive_ico_sphere_add(subdivisions=1,radius=1,location=loc);o=bpy.context.object;o.name=n;o.scale=scale;o.data.materials.append(ma);return o\ndef curve(n,pts,bevel,ma):\n cu=bpy.data.curves.new(n,'CURVE');cu.dimensions='3D';cu.bevel_depth=bevel;cu.bevel_resolution=2; sp=cu.splines.new('BEZIER');sp.bezier_points.add(len(pts)-1)\n for p,co in zip(sp.bezier_points,pts): p.co=co;p.handle_left_type='AUTO';p.handle_right_type='AUTO'\n o=bpy.data.objects.new(n,cu);bpy.context.collection.objects.link(o);o.data.materials.append(ma);return o\n# ground\ncube('Earth clearing',(0,0,-0.35),(10,8,.35),earth,.15)\n# cobbled path\nfor i in range(22):\n x=-7+i*.55+random.uniform(-.12,.12); y=-5.8+random.uniform(-.35,.35)\n cube('buried cobble',(x,y,0.05),(0.25+random.random()*.18,.32,.08),stone,.08).rotation_euler[2]=random.uniform(-.3,.3)\n# house function orientation z, dimensions\n\ndef house(name,x,y,w,d,h,ang,ma,roofmat,broken=True):\n # parent empty\n base=cube(name+' walls',(x,y,h/2),(w/2,d/2,h/2),ma,.08); base.rotation_euler[2]=ang\n # roof two slabs pitched along x local, ridge along y\n for side in (-1,1):\n  r=cube(name+' rusted roof',(x+side*0.30*math.cos(ang),y+side*0.30*math.sin(ang),h+0.72),(w*.40,d/2+.22,.10),roofmat,.035)\n  r.rotation_euler[2]=ang; r.rotation_euler[1]=side*math.radians(32)\n # ridge\n ridge=cube(name+' roof ridge',(x,y,h+1.02),(.13,d/2+.3,.13),roofmat,.03); ridge.rotation_euler[2]=ang\n # doors and windows as dark planes placed on front/back using local coords\n # front y local -d/2\n for lx in (-w*.27,w*.27):\n  px=x+lx*math.cos(ang)-(-d/2-.012)*math.sin(ang); py=y+lx*math.sin(ang)+(-d/2-.012)*math.cos(ang)\n  q=cube(name+' broken window',(px,py,h*.56),(w*.13,.025,h*.16),dark,.02);q.rotation_euler[2]=ang\n  # crooked frame\n  for xx in (-w*.13,w*.13):\n   fx=x+(lx+xx)*math.cos(ang)-(-d/2-.045)*math.sin(ang);fy=y+(lx+xx)*math.sin(ang)+(-d/2-.045)*math.cos(ang)\n   f=cube('splintered window frame',(fx,fy,h*.56),(.025,.04,h*.18),wood);f.rotation_euler[2]=ang\n  # cross diagonal broken glass\n  p1=(x+(lx-w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx-w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.48)\n  p2=(x+(lx+w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx+w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.64)\n  curve('cracked window',[p1,p2],.012,glass)\n # door\n px=x- w*.12*math.cos(ang)-(-d/2-.02)*math.sin(ang);py=y-w*.12*math.sin(ang)+(-d/2-.02)*math.cos(ang)\n door=cube(name+' sagging door',(px,py,h*.34),(w*.18,.035,h*.34),wood,.03);door.rotation_euler[2]=ang\n # timber braces on front\n for z in (h*.25,h*.72):\n  b=cube(name+' exposed beam',(x,y-d/2-.06,z), (w/2,.07,.06),wood);b.rotation_euler[2]=ang\n # moss patches along base\n for i in range(7):\n  lx=random.uniform(-w/2,w/2); side=random.choice([-1,1]); px=x+lx*math.cos(ang)-side*d/2*math.sin(ang);py=y+lx*math.sin(ang)+side*d/2*math.cos(ang)\n  uv('moss on wall',(px,py+random.uniform(-.04,.04),random.uniform(.25,.65)),(.18,.06,.13),moss)\n return base\nhouse('North cottage',0,1.9,4.2,3.0,2.8,.08,wall,roof)\nhouse('West cottage',-5,1.0,3.5,2.8,2.5,-.18,wall2,roof2)\nhouse('East cottage',5,2.8,3.3,2.6,2.35,.25,wall,roof)\n# collapsed shed / ruin\ncube('collapsed stone wall',(1.7,-2.0,1.0),(2.0,.28,1.0),stone,.08); cube('fallen roof',(2,-2.0,2.15),(1.8,1.2,.12),roof,.05).rotation_euler[1]=.18\n# roof corrugation bars and rust patches across visible roofs\nfor hx,hy,w,d,h,ang in [(0,1.9,4.2,3,2.8,.08),(-5,1,3.5,2.8,2.5,-.18),(5,2.8,3.3,2.6,2.35,.25)]:\n for side in (-1,1):\n  for j in range(7):\n   ly=-d/2+j*d/6; # local y\n   xx=hx+side*.30*math.cos(ang)-ly*math.sin(ang); yy=hy+side*.30*math.sin(ang)+ly*math.cos(ang)\n   bar=cube('roof corrugation',(xx,yy,h+.72+abs(.30)*.0),(w*.39,.018,.035),roof2 if side<0 else roof,.02);bar.rotation_euler[2]=ang;bar.rotation_euler[1]=side*math.radians(32)\n# vegetation grass clumps\nfor i in range(150):\n x=random.uniform(-9,9); y=random.uniform(-6.5,6.5)\n if random.random()<.55 and y>4: continue\n z=.05\n for k in range(random.randint(2,5)):\n  xx=x+random.uniform(-.18,.18); yy=y+random.uniform(-.18,.18); ht=random.uniform(.18,.55)\n  curve('grass blade',[(xx,yy,z),(xx+random.uniform(-.12,.12),yy, z+ht*.65),(xx+random.uniform(-.18,.18),yy,z+ht)],.018,grass)\n# vines climbing fronts and roof edges\nfor x,y in [(-1.7,.35),(1.5,.35),(-6.3,-.4),(4.1,1.4),(6.1,3.0)]:\n pts=[(x,y-.04,.15),(x+.12,y-.05,.9),(x-.08,y-.03,1.7),(x+.18,y-.05,2.45),(x+.35,y-.1,3.25)]\n curve('climbing vine',pts,.035,vine)\n for p in pts[1:]: uv('ivy leaf',(p[0]+random.uniform(-.12,.12),p[1]-.05,p[2]),(.13,.04,.09),vine)\n# back trees\nfor x,y in [(-8,5.5),(-6,6.2),(7,5.8),(8,3.8)]:\n cyl('dead tree trunk',(x,y,2.0),.22,4,wood,7)\n curve('gnarled branch',[(x,y,3),(x+random.uniform(-1,1),y,4),(x+random.uniform(-1.5,1.5),y,5)],.10,wood)\n for k in range(8): uv('wild tree crown',(x+random.uniform(-1.4,1.4),y+random.uniform(-.4,.5),4.4+random.uniform(-.4,1.2)),(.7,.55,.65),leaf)\n# stones foreground\nfor i in range(24):\n x=random.uniform(-8,8); y=random.uniform(-6,-2); uv('mossy stone',(x,y,.18),(random.uniform(.12,.35),random.uniform(.12,.3),random.uniform(.1,.25)),stone)\n# camera\nbpy.ops.object.camera_add(location=(11,-15,10)); cam=bpy.context.object;cam.name='Presentation Camera';bpy.context.scene.camera=cam\ndef track(obj,pt): obj.rotation_euler=(Vector(pt)-obj.location).to_track_quat('-Z','Y').to_euler()\ntrack(cam,(0,1,1.8));cam.data.lens=48\n# lighting\nbpy.ops.object.light_add(type='AREA', location=(2,-4,11)); key=bpy.context.object;key.name='Soft moonlight';key.data.energy=1500;key.data.shape='DISK';key.data.size=8;track(key,(0,1,0))\nbpy.ops.object.light_add(type='AREA', location=(-8,-3,5)); fill=bpy.context.object;fill.data.energy=700;fill.data.color=(0.32,0.45,0.55);fill.data.size=7;track(fill,(0,1,1))\nbpy.ops.object.light_add(type='POINT', location=(0,-2,3));bpy.context.object.data.energy=180;bpy.context.object.data.color=(1.0,.32,.10)\n# world\nworld=bpy.context.scene.world or bpy.data.worlds.new('World');bpy.context.scene.world=world;world.use_nodes=True;world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\nscene=bpy.context.scene;scene.render.engine='BLENDER_EEVEE_NEXT';scene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\nscene.view_settings.look='AgX - Medium High Contrast'\n# ground fog-like large plane? no\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\nbpy.ops.render.render(write_still=True)\nprint('DONE scene',len(bpy.context.scene.objects))", "user_prompt": "Create an abandoned village slowly reclaimed by nature with weathered houses, rusted roofs, broken windows, moss, grass, vines, and a clear presentation render."}, "raw_arguments": "{\"code\":\"import bpy, math, random\\nfrom mathutils import Vector\\nrandom.seed(12)\\n# clear\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\nfor d in (bpy.data.materials, bpy.data.curves, bpy.data.meshes, bpy.data.cameras, bpy.data.lights):\\n    pass\\n# mats\\ndef mat(name,color,rough=0.8,metal=0):\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True\\n bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal\\n return m\\nwall=mat('Weathered plaster',(0.27,0.25,0.20)); wall2=mat('Faded ochre plaster',(0.34,0.29,0.20)); wood=mat('Dark rotting timber',(0.12,0.07,0.035)); roof=mat('Rust corroded metal',(0.20,0.075,0.035),.62,.55); roof2=mat('Old blue rust',(0.10,0.13,0.13),.7,.4); dark=mat('Window darkness',(0.012,0.018,0.015)); glass=mat('Broken glass',(0.12,0.22,0.20),.25); moss=mat('Moss',(0.12,0.22,0.07)); vine=mat('Ivy leaves',(0.08,0.18,0.035)); grass=mat('Wild grass',(0.16,0.28,0.06)); earth=mat('Earth',(0.12,0.085,0.045)); stone=mat('Mossy stones',(0.24,0.25,0.18)); leaf=mat('Tree foliage',(0.06,0.15,0.035));\\ndef cube(n,loc,scale,ma,bev=0):\\n bpy.ops.mesh.primitive_cube_add(location=loc); o=bpy.context.object; o.name=n; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\n if bev: mod=o.modifiers.new('soft eroded edges','BEVEL'); mod.width=bev; mod.segments=2\\n o.data.materials.append(ma); return o\\ndef cyl(n,loc,r,depth,ma,verts=8):\\n bpy.ops.mesh.primitive_cylinder_add(vertices=verts,radius=r,depth=depth,location=loc); o=bpy.context.object;o.name=n;o.data.materials.append(ma); return o\\ndef uv(n,loc,scale,ma):\\n bpy.ops.mesh.primitive_ico_sphere_add(subdivisions=1,radius=1,location=loc);o=bpy.context.object;o.name=n;o.scale=scale;o.data.materials.append(ma);return o\\ndef curve(n,pts,bevel,ma):\\n cu=bpy.data.curves.new(n,'CURVE');cu.dimensions='3D';cu.bevel_depth=bevel;cu.bevel_resolution=2; sp=cu.splines.new('BEZIER');sp.bezier_points.add(len(pts)-1)\\n for p,co in zip(sp.bezier_points,pts): p.co=co;p.handle_left_type='AUTO';p.handle_right_type='AUTO'\\n o=bpy.data.objects.new(n,cu);bpy.context.collection.objects.link(o);o.data.materials.append(ma);return o\\n# ground\\ncube('Earth clearing',(0,0,-0.35),(10,8,.35),earth,.15)\\n# cobbled path\\nfor i in range(22):\\n x=-7+i*.55+random.uniform(-.12,.12); y=-5.8+random.uniform(-.35,.35)\\n cube('buried cobble',(x,y,0.05),(0.25+random.random()*.18,.32,.08),stone,.08).rotation_euler[2]=random.uniform(-.3,.3)\\n# house function orientation z, dimensions\\n\\ndef house(name,x,y,w,d,h,ang,ma,roofmat,broken=True):\\n # parent empty\\n base=cube(name+' walls',(x,y,h/2),(w/2,d/2,h/2),ma,.08); base.rotation_euler[2]=ang\\n # roof two slabs pitched along x local, ridge along y\\n for side in (-1,1):\\n  r=cube(name+' rusted roof',(x+side*0.30*math.cos(ang),y+side*0.30*math.sin(ang),h+0.72),(w*.40,d/2+.22,.10),roofmat,.035)\\n  r.rotation_euler[2]=ang; r.rotation_euler[1]=side*math.radians(32)\\n # ridge\\n ridge=cube(name+' roof ridge',(x,y,h+1.02),(.13,d/2+.3,.13),roofmat,.03); ridge.rotation_euler[2]=ang\\n # doors and windows as dark planes placed on front/back using local coords\\n # front y local -d/2\\n for lx in (-w*.27,w*.27):\\n  px=x+lx*math.cos(ang)-(-d/2-.012)*math.sin(ang); py=y+lx*math.sin(ang)+(-d/2-.012)*math.cos(ang)\\n  q=cube(name+' broken window',(px,py,h*.56),(w*.13,.025,h*.16),dark,.02);q.rotation_euler[2]=ang\\n  # crooked frame\\n  for xx in (-w*.13,w*.13):\\n   fx=x+(lx+xx)*math.cos(ang)-(-d/2-.045)*math.sin(ang);fy=y+(lx+xx)*math.sin(ang)+(-d/2-.045)*math.cos(ang)\\n   f=cube('splintered window frame',(fx,fy,h*.56),(.025,.04,h*.18),wood);f.rotation_euler[2]=ang\\n  # cross diagonal broken glass\\n  p1=(x+(lx-w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx-w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.48)\\n  p2=(x+(lx+w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx+w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.64)\\n  curve('cracked window',[p1,p2],.012,glass)\\n # door\\n px=x- w*.12*math.cos(ang)-(-d/2-.02)*math.sin(ang);py=y-w*.12*math.sin(ang)+(-d/2-.02)*math.cos(ang)\\n door=cube(name+' sagging door',(px,py,h*.34),(w*.18,.035,h*.34),wood,.03);door.rotation_euler[2]=ang\\n # timber braces on front\\n for z in (h*.25,h*.72):\\n  b=cube(name+' exposed beam',(x,y-d/2-.06,z), (w/2,.07,.06),wood);b.rotation_euler[2]=ang\\n # moss patches along base\\n for i in range(7):\\n  lx=random.uniform(-w/2,w/2); side=random.choice([-1,1]); px=x+lx*math.cos(ang)-side*d/2*math.sin(ang);py=y+lx*math.sin(ang)+side*d/2*math.cos(ang)\\n  uv('moss on wall',(px,py+random.uniform(-.04,.04),random.uniform(.25,.65)),(.18,.06,.13),moss)\\n return base\\nhouse('North cottage',0,1.9,4.2,3.0,2.8,.08,wall,roof)\\nhouse('West cottage',-5,1.0,3.5,2.8,2.5,-.18,wall2,roof2)\\nhouse('East cottage',5,2.8,3.3,2.6,2.35,.25,wall,roof)\\n# collapsed shed / ruin\\ncube('collapsed stone wall',(1.7,-2.0,1.0),(2.0,.28,1.0),stone,.08); cube('fallen roof',(2,-2.0,2.15),(1.8,1.2,.12),roof,.05).rotation_euler[1]=.18\\n# roof corrugation bars and rust patches across visible roofs\\nfor hx,hy,w,d,h,ang in [(0,1.9,4.2,3,2.8,.08),(-5,1,3.5,2.8,2.5,-.18),(5,2.8,3.3,2.6,2.35,.25)]:\\n for side in (-1,1):\\n  for j in range(7):\\n   ly=-d/2+j*d/6; # local y\\n   xx=hx+side*.30*math.cos(ang)-ly*math.sin(ang); yy=hy+side*.30*math.sin(ang)+ly*math.cos(ang)\\n   bar=cube('roof corrugation',(xx,yy,h+.72+abs(.30)*.0),(w*.39,.018,.035),roof2 if side<0 else roof,.02);bar.rotation_euler[2]=ang;bar.rotation_euler[1]=side*math.radians(32)\\n# vegetation grass clumps\\nfor i in range(150):\\n x=random.uniform(-9,9); y=random.uniform(-6.5,6.5)\\n if random.random()<.55 and y>4: continue\\n z=.05\\n for k in range(random.randint(2,5)):\\n  xx=x+random.uniform(-.18,.18); yy=y+random.uniform(-.18,.18); ht=random.uniform(.18,.55)\\n  curve('grass blade',[(xx,yy,z),(xx+random.uniform(-.12,.12),yy, z+ht*.65),(xx+random.uniform(-.18,.18),yy,z+ht)],.018,grass)\\n# vines climbing fronts and roof edges\\nfor x,y in [(-1.7,.35),(1.5,.35),(-6.3,-.4),(4.1,1.4),(6.1,3.0)]:\\n pts=[(x,y-.04,.15),(x+.12,y-.05,.9),(x-.08,y-.03,1.7),(x+.18,y-.05,2.45),(x+.35,y-.1,3.25)]\\n curve('climbing vine',pts,.035,vine)\\n for p in pts[1:]: uv('ivy leaf',(p[0]+random.uniform(-.12,.12),p[1]-.05,p[2]),(.13,.04,.09),vine)\\n# back trees\\nfor x,y in [(-8,5.5),(-6,6.2),(7,5.8),(8,3.8)]:\\n cyl('dead tree trunk',(x,y,2.0),.22,4,wood,7)\\n curve('gnarled branch',[(x,y,3),(x+random.uniform(-1,1),y,4),(x+random.uniform(-1.5,1.5),y,5)],.10,wood)\\n for k in range(8): uv('wild tree crown',(x+random.uniform(-1.4,1.4),y+random.uniform(-.4,.5),4.4+random.uniform(-.4,1.2)),(.7,.55,.65),leaf)\\n# stones foreground\\nfor i in range(24):\\n x=random.uniform(-8,8); y=random.uniform(-6,-2); uv('mossy stone',(x,y,.18),(random.uniform(.12,.35),random.uniform(.12,.3),random.uniform(.1,.25)),stone)\\n# camera\\nbpy.ops.object.camera_add(location=(11,-15,10)); cam=bpy.context.object;cam.name='Presentation Camera';bpy.context.scene.camera=cam\\ndef track(obj,pt): obj.rotation_euler=(Vector(pt)-obj.location).to_track_quat('-Z','Y').to_euler()\\ntrack(cam,(0,1,1.8));cam.data.lens=48\\n# lighting\\nbpy.ops.object.light_add(type='AREA', location=(2,-4,11)); key=bpy.context.object;key.name='Soft moonlight';key.data.energy=1500;key.data.shape='DISK';key.data.size=8;track(key,(0,1,0))\\nbpy.ops.object.light_add(type='AREA', location=(-8,-3,5)); fill=bpy.context.object;fill.data.energy=700;fill.data.color=(0.32,0.45,0.55);fill.data.size=7;track(fill,(0,1,1))\\nbpy.ops.object.light_add(type='POINT', location=(0,-2,3));bpy.context.object.data.energy=180;bpy.context.object.data.color=(1.0,.32,.10)\\n# world\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World');bpy.context.scene.world=world;world.use_nodes=True;world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nscene=bpy.context.scene;scene.render.engine='BLENDER_EEVEE_NEXT';scene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\n# ground fog-like large plane? no\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('DONE scene',len(bpy.context.scene.objects))\",\"user_prompt\":\"Create an abandoned village slowly reclaimed by nature with weathered houses, rusted roofs, broken windows, moss, grass, vines, and a clear presentation render.\"}", "parse_error": null}], "tokens_in": 3399, "tokens_out": 3425, "cost_usd": 0.024798, "cached_tokens": 0}, "error": null}
{"ts": "2026-07-15T10:43:50.400954+00:00", "type": "assistant", "text": null, "tool_calls": [{"id": "call_s9v2v9ySjVU6WCYi6Ln00BCX", "name": "execute_blender_code", "arguments": {"code": "import bpy, math, random\nfrom mathutils import Vector\nrandom.seed(12)\n# clear\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\nfor d in (bpy.data.materials, bpy.data.curves, bpy.data.meshes, bpy.data.cameras, bpy.data.lights):\n    pass\n# mats\ndef mat(name,color,rough=0.8,metal=0):\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True\n bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal\n return m\nwall=mat('Weathered plaster',(0.27,0.25,0.20)); wall2=mat('Faded ochre plaster',(0.34,0.29,0.20)); wood=mat('Dark rotting timber',(0.12,0.07,0.035)); roof=mat('Rust corroded metal',(0.20,0.075,0.035),.62,.55); roof2=mat('Old blue rust',(0.10,0.13,0.13),.7,.4); dark=mat('Window darkness',(0.012,0.018,0.015)); glass=mat('Broken glass',(0.12,0.22,0.20),.25); moss=mat('Moss',(0.12,0.22,0.07)); vine=mat('Ivy leaves',(0.08,0.18,0.035)); grass=mat('Wild grass',(0.16,0.28,0.06)); earth=mat('Earth',(0.12,0.085,0.045)); stone=mat('Mossy stones',(0.24,0.25,0.18)); leaf=mat('Tree foliage',(0.06,0.15,0.035));\ndef cube(n,loc,scale,ma,bev=0):\n bpy.ops.mesh.primitive_cube_add(location=loc); o=bpy.context.object; o.name=n; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\n if bev: mod=o.modifiers.new('soft eroded edges','BEVEL'); mod.width=bev; mod.segments=2\n o.data.materials.append(ma); return o\ndef cyl(n,loc,r,depth,ma,verts=8):\n bpy.ops.mesh.primitive_cylinder_add(vertices=verts,radius=r,depth=depth,location=loc); o=bpy.context.object;o.name=n;o.data.materials.append(ma); return o\ndef uv(n,loc,scale,ma):\n bpy.ops.mesh.primitive_ico_sphere_add(subdivisions=1,radius=1,location=loc);o=bpy.context.object;o.name=n;o.scale=scale;o.data.materials.append(ma);return o\ndef curve(n,pts,bevel,ma):\n cu=bpy.data.curves.new(n,'CURVE');cu.dimensions='3D';cu.bevel_depth=bevel;cu.bevel_resolution=2; sp=cu.splines.new('BEZIER');sp.bezier_points.add(len(pts)-1)\n for p,co in zip(sp.bezier_points,pts): p.co=co;p.handle_left_type='AUTO';p.handle_right_type='AUTO'\n o=bpy.data.objects.new(n,cu);bpy.context.collection.objects.link(o);o.data.materials.append(ma);return o\n# ground\ncube('Earth clearing',(0,0,-0.35),(10,8,.35),earth,.15)\n# cobbled path\nfor i in range(22):\n x=-7+i*.55+random.uniform(-.12,.12); y=-5.8+random.uniform(-.35,.35)\n cube('buried cobble',(x,y,0.05),(0.25+random.random()*.18,.32,.08),stone,.08).rotation_euler[2]=random.uniform(-.3,.3)\n# house function orientation z, dimensions\n\ndef house(name,x,y,w,d,h,ang,ma,roofmat,broken=True):\n # parent empty\n base=cube(name+' walls',(x,y,h/2),(w/2,d/2,h/2),ma,.08); base.rotation_euler[2]=ang\n # roof two slabs pitched along x local, ridge along y\n for side in (-1,1):\n  r=cube(name+' rusted roof',(x+side*0.30*math.cos(ang),y+side*0.30*math.sin(ang),h+0.72),(w*.40,d/2+.22,.10),roofmat,.035)\n  r.rotation_euler[2]=ang; r.rotation_euler[1]=side*math.radians(32)\n # ridge\n ridge=cube(name+' roof ridge',(x,y,h+1.02),(.13,d/2+.3,.13),roofmat,.03); ridge.rotation_euler[2]=ang\n # doors and windows as dark planes placed on front/back using local coords\n # front y local -d/2\n for lx in (-w*.27,w*.27):\n  px=x+lx*math.cos(ang)-(-d/2-.012)*math.sin(ang); py=y+lx*math.sin(ang)+(-d/2-.012)*math.cos(ang)\n  q=cube(name+' broken window',(px,py,h*.56),(w*.13,.025,h*.16),dark,.02);q.rotation_euler[2]=ang\n  # crooked frame\n  for xx in (-w*.13,w*.13):\n   fx=x+(lx+xx)*math.cos(ang)-(-d/2-.045)*math.sin(ang);fy=y+(lx+xx)*math.sin(ang)+(-d/2-.045)*math.cos(ang)\n   f=cube('splintered window frame',(fx,fy,h*.56),(.025,.04,h*.18),wood);f.rotation_euler[2]=ang\n  # cross diagonal broken glass\n  p1=(x+(lx-w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx-w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.48)\n  p2=(x+(lx+w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx+w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.64)\n  curve('cracked window',[p1,p2],.012,glass)\n # door\n px=x- w*.12*math.cos(ang)-(-d/2-.02)*math.sin(ang);py=y-w*.12*math.sin(ang)+(-d/2-.02)*math.cos(ang)\n door=cube(name+' sagging door',(px,py,h*.34),(w*.18,.035,h*.34),wood,.03);door.rotation_euler[2]=ang\n # timber braces on front\n for z in (h*.25,h*.72):\n  b=cube(name+' exposed beam',(x,y-d/2-.06,z), (w/2,.07,.06),wood);b.rotation_euler[2]=ang\n # moss patches along base\n for i in range(7):\n  lx=random.uniform(-w/2,w/2); side=random.choice([-1,1]); px=x+lx*math.cos(ang)-side*d/2*math.sin(ang);py=y+lx*math.sin(ang)+side*d/2*math.cos(ang)\n  uv('moss on wall',(px,py+random.uniform(-.04,.04),random.uniform(.25,.65)),(.18,.06,.13),moss)\n return base\nhouse('North cottage',0,1.9,4.2,3.0,2.8,.08,wall,roof)\nhouse('West cottage',-5,1.0,3.5,2.8,2.5,-.18,wall2,roof2)\nhouse('East cottage',5,2.8,3.3,2.6,2.35,.25,wall,roof)\n# collapsed shed / ruin\ncube('collapsed stone wall',(1.7,-2.0,1.0),(2.0,.28,1.0),stone,.08); cube('fallen roof',(2,-2.0,2.15),(1.8,1.2,.12),roof,.05).rotation_euler[1]=.18\n# roof corrugation bars and rust patches across visible roofs\nfor hx,hy,w,d,h,ang in [(0,1.9,4.2,3,2.8,.08),(-5,1,3.5,2.8,2.5,-.18),(5,2.8,3.3,2.6,2.35,.25)]:\n for side in (-1,1):\n  for j in range(7):\n   ly=-d/2+j*d/6; # local y\n   xx=hx+side*.30*math.cos(ang)-ly*math.sin(ang); yy=hy+side*.30*math.sin(ang)+ly*math.cos(ang)\n   bar=cube('roof corrugation',(xx,yy,h+.72+abs(.30)*.0),(w*.39,.018,.035),roof2 if side<0 else roof,.02);bar.rotation_euler[2]=ang;bar.rotation_euler[1]=side*math.radians(32)\n# vegetation grass clumps\nfor i in range(150):\n x=random.uniform(-9,9); y=random.uniform(-6.5,6.5)\n if random.random()<.55 and y>4: continue\n z=.05\n for k in range(random.randint(2,5)):\n  xx=x+random.uniform(-.18,.18); yy=y+random.uniform(-.18,.18); ht=random.uniform(.18,.55)\n  curve('grass blade',[(xx,yy,z),(xx+random.uniform(-.12,.12),yy, z+ht*.65),(xx+random.uniform(-.18,.18),yy,z+ht)],.018,grass)\n# vines climbing fronts and roof edges\nfor x,y in [(-1.7,.35),(1.5,.35),(-6.3,-.4),(4.1,1.4),(6.1,3.0)]:\n pts=[(x,y-.04,.15),(x+.12,y-.05,.9),(x-.08,y-.03,1.7),(x+.18,y-.05,2.45),(x+.35,y-.1,3.25)]\n curve('climbing vine',pts,.035,vine)\n for p in pts[1:]: uv('ivy leaf',(p[0]+random.uniform(-.12,.12),p[1]-.05,p[2]),(.13,.04,.09),vine)\n# back trees\nfor x,y in [(-8,5.5),(-6,6.2),(7,5.8),(8,3.8)]:\n cyl('dead tree trunk',(x,y,2.0),.22,4,wood,7)\n curve('gnarled branch',[(x,y,3),(x+random.uniform(-1,1),y,4),(x+random.uniform(-1.5,1.5),y,5)],.10,wood)\n for k in range(8): uv('wild tree crown',(x+random.uniform(-1.4,1.4),y+random.uniform(-.4,.5),4.4+random.uniform(-.4,1.2)),(.7,.55,.65),leaf)\n# stones foreground\nfor i in range(24):\n x=random.uniform(-8,8); y=random.uniform(-6,-2); uv('mossy stone',(x,y,.18),(random.uniform(.12,.35),random.uniform(.12,.3),random.uniform(.1,.25)),stone)\n# camera\nbpy.ops.object.camera_add(location=(11,-15,10)); cam=bpy.context.object;cam.name='Presentation Camera';bpy.context.scene.camera=cam\ndef track(obj,pt): obj.rotation_euler=(Vector(pt)-obj.location).to_track_quat('-Z','Y').to_euler()\ntrack(cam,(0,1,1.8));cam.data.lens=48\n# lighting\nbpy.ops.object.light_add(type='AREA', location=(2,-4,11)); key=bpy.context.object;key.name='Soft moonlight';key.data.energy=1500;key.data.shape='DISK';key.data.size=8;track(key,(0,1,0))\nbpy.ops.object.light_add(type='AREA', location=(-8,-3,5)); fill=bpy.context.object;fill.data.energy=700;fill.data.color=(0.32,0.45,0.55);fill.data.size=7;track(fill,(0,1,1))\nbpy.ops.object.light_add(type='POINT', location=(0,-2,3));bpy.context.object.data.energy=180;bpy.context.object.data.color=(1.0,.32,.10)\n# world\nworld=bpy.context.scene.world or bpy.data.worlds.new('World');bpy.context.scene.world=world;world.use_nodes=True;world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\nscene=bpy.context.scene;scene.render.engine='BLENDER_EEVEE_NEXT';scene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\nscene.view_settings.look='AgX - Medium High Contrast'\n# ground fog-like large plane? no\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\nbpy.ops.render.render(write_still=True)\nprint('DONE scene',len(bpy.context.scene.objects))", "user_prompt": "Create an abandoned village slowly reclaimed by nature with weathered houses, rusted roofs, broken windows, moss, grass, vines, and a clear presentation render."}, "raw_arguments": "{\"code\":\"import bpy, math, random\\nfrom mathutils import Vector\\nrandom.seed(12)\\n# clear\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\nfor d in (bpy.data.materials, bpy.data.curves, bpy.data.meshes, bpy.data.cameras, bpy.data.lights):\\n    pass\\n# mats\\ndef mat(name,color,rough=0.8,metal=0):\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True\\n bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal\\n return m\\nwall=mat('Weathered plaster',(0.27,0.25,0.20)); wall2=mat('Faded ochre plaster',(0.34,0.29,0.20)); wood=mat('Dark rotting timber',(0.12,0.07,0.035)); roof=mat('Rust corroded metal',(0.20,0.075,0.035),.62,.55); roof2=mat('Old blue rust',(0.10,0.13,0.13),.7,.4); dark=mat('Window darkness',(0.012,0.018,0.015)); glass=mat('Broken glass',(0.12,0.22,0.20),.25); moss=mat('Moss',(0.12,0.22,0.07)); vine=mat('Ivy leaves',(0.08,0.18,0.035)); grass=mat('Wild grass',(0.16,0.28,0.06)); earth=mat('Earth',(0.12,0.085,0.045)); stone=mat('Mossy stones',(0.24,0.25,0.18)); leaf=mat('Tree foliage',(0.06,0.15,0.035));\\ndef cube(n,loc,scale,ma,bev=0):\\n bpy.ops.mesh.primitive_cube_add(location=loc); o=bpy.context.object; o.name=n; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\n if bev: mod=o.modifiers.new('soft eroded edges','BEVEL'); mod.width=bev; mod.segments=2\\n o.data.materials.append(ma); return o\\ndef cyl(n,loc,r,depth,ma,verts=8):\\n bpy.ops.mesh.primitive_cylinder_add(vertices=verts,radius=r,depth=depth,location=loc); o=bpy.context.object;o.name=n;o.data.materials.append(ma); return o\\ndef uv(n,loc,scale,ma):\\n bpy.ops.mesh.primitive_ico_sphere_add(subdivisions=1,radius=1,location=loc);o=bpy.context.object;o.name=n;o.scale=scale;o.data.materials.append(ma);return o\\ndef curve(n,pts,bevel,ma):\\n cu=bpy.data.curves.new(n,'CURVE');cu.dimensions='3D';cu.bevel_depth=bevel;cu.bevel_resolution=2; sp=cu.splines.new('BEZIER');sp.bezier_points.add(len(pts)-1)\\n for p,co in zip(sp.bezier_points,pts): p.co=co;p.handle_left_type='AUTO';p.handle_right_type='AUTO'\\n o=bpy.data.objects.new(n,cu);bpy.context.collection.objects.link(o);o.data.materials.append(ma);return o\\n# ground\\ncube('Earth clearing',(0,0,-0.35),(10,8,.35),earth,.15)\\n# cobbled path\\nfor i in range(22):\\n x=-7+i*.55+random.uniform(-.12,.12); y=-5.8+random.uniform(-.35,.35)\\n cube('buried cobble',(x,y,0.05),(0.25+random.random()*.18,.32,.08),stone,.08).rotation_euler[2]=random.uniform(-.3,.3)\\n# house function orientation z, dimensions\\n\\ndef house(name,x,y,w,d,h,ang,ma,roofmat,broken=True):\\n # parent empty\\n base=cube(name+' walls',(x,y,h/2),(w/2,d/2,h/2),ma,.08); base.rotation_euler[2]=ang\\n # roof two slabs pitched along x local, ridge along y\\n for side in (-1,1):\\n  r=cube(name+' rusted roof',(x+side*0.30*math.cos(ang),y+side*0.30*math.sin(ang),h+0.72),(w*.40,d/2+.22,.10),roofmat,.035)\\n  r.rotation_euler[2]=ang; r.rotation_euler[1]=side*math.radians(32)\\n # ridge\\n ridge=cube(name+' roof ridge',(x,y,h+1.02),(.13,d/2+.3,.13),roofmat,.03); ridge.rotation_euler[2]=ang\\n # doors and windows as dark planes placed on front/back using local coords\\n # front y local -d/2\\n for lx in (-w*.27,w*.27):\\n  px=x+lx*math.cos(ang)-(-d/2-.012)*math.sin(ang); py=y+lx*math.sin(ang)+(-d/2-.012)*math.cos(ang)\\n  q=cube(name+' broken window',(px,py,h*.56),(w*.13,.025,h*.16),dark,.02);q.rotation_euler[2]=ang\\n  # crooked frame\\n  for xx in (-w*.13,w*.13):\\n   fx=x+(lx+xx)*math.cos(ang)-(-d/2-.045)*math.sin(ang);fy=y+(lx+xx)*math.sin(ang)+(-d/2-.045)*math.cos(ang)\\n   f=cube('splintered window frame',(fx,fy,h*.56),(.025,.04,h*.18),wood);f.rotation_euler[2]=ang\\n  # cross diagonal broken glass\\n  p1=(x+(lx-w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx-w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.48)\\n  p2=(x+(lx+w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx+w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.64)\\n  curve('cracked window',[p1,p2],.012,glass)\\n # door\\n px=x- w*.12*math.cos(ang)-(-d/2-.02)*math.sin(ang);py=y-w*.12*math.sin(ang)+(-d/2-.02)*math.cos(ang)\\n door=cube(name+' sagging door',(px,py,h*.34),(w*.18,.035,h*.34),wood,.03);door.rotation_euler[2]=ang\\n # timber braces on front\\n for z in (h*.25,h*.72):\\n  b=cube(name+' exposed beam',(x,y-d/2-.06,z), (w/2,.07,.06),wood);b.rotation_euler[2]=ang\\n # moss patches along base\\n for i in range(7):\\n  lx=random.uniform(-w/2,w/2); side=random.choice([-1,1]); px=x+lx*math.cos(ang)-side*d/2*math.sin(ang);py=y+lx*math.sin(ang)+side*d/2*math.cos(ang)\\n  uv('moss on wall',(px,py+random.uniform(-.04,.04),random.uniform(.25,.65)),(.18,.06,.13),moss)\\n return base\\nhouse('North cottage',0,1.9,4.2,3.0,2.8,.08,wall,roof)\\nhouse('West cottage',-5,1.0,3.5,2.8,2.5,-.18,wall2,roof2)\\nhouse('East cottage',5,2.8,3.3,2.6,2.35,.25,wall,roof)\\n# collapsed shed / ruin\\ncube('collapsed stone wall',(1.7,-2.0,1.0),(2.0,.28,1.0),stone,.08); cube('fallen roof',(2,-2.0,2.15),(1.8,1.2,.12),roof,.05).rotation_euler[1]=.18\\n# roof corrugation bars and rust patches across visible roofs\\nfor hx,hy,w,d,h,ang in [(0,1.9,4.2,3,2.8,.08),(-5,1,3.5,2.8,2.5,-.18),(5,2.8,3.3,2.6,2.35,.25)]:\\n for side in (-1,1):\\n  for j in range(7):\\n   ly=-d/2+j*d/6; # local y\\n   xx=hx+side*.30*math.cos(ang)-ly*math.sin(ang); yy=hy+side*.30*math.sin(ang)+ly*math.cos(ang)\\n   bar=cube('roof corrugation',(xx,yy,h+.72+abs(.30)*.0),(w*.39,.018,.035),roof2 if side<0 else roof,.02);bar.rotation_euler[2]=ang;bar.rotation_euler[1]=side*math.radians(32)\\n# vegetation grass clumps\\nfor i in range(150):\\n x=random.uniform(-9,9); y=random.uniform(-6.5,6.5)\\n if random.random()<.55 and y>4: continue\\n z=.05\\n for k in range(random.randint(2,5)):\\n  xx=x+random.uniform(-.18,.18); yy=y+random.uniform(-.18,.18); ht=random.uniform(.18,.55)\\n  curve('grass blade',[(xx,yy,z),(xx+random.uniform(-.12,.12),yy, z+ht*.65),(xx+random.uniform(-.18,.18),yy,z+ht)],.018,grass)\\n# vines climbing fronts and roof edges\\nfor x,y in [(-1.7,.35),(1.5,.35),(-6.3,-.4),(4.1,1.4),(6.1,3.0)]:\\n pts=[(x,y-.04,.15),(x+.12,y-.05,.9),(x-.08,y-.03,1.7),(x+.18,y-.05,2.45),(x+.35,y-.1,3.25)]\\n curve('climbing vine',pts,.035,vine)\\n for p in pts[1:]: uv('ivy leaf',(p[0]+random.uniform(-.12,.12),p[1]-.05,p[2]),(.13,.04,.09),vine)\\n# back trees\\nfor x,y in [(-8,5.5),(-6,6.2),(7,5.8),(8,3.8)]:\\n cyl('dead tree trunk',(x,y,2.0),.22,4,wood,7)\\n curve('gnarled branch',[(x,y,3),(x+random.uniform(-1,1),y,4),(x+random.uniform(-1.5,1.5),y,5)],.10,wood)\\n for k in range(8): uv('wild tree crown',(x+random.uniform(-1.4,1.4),y+random.uniform(-.4,.5),4.4+random.uniform(-.4,1.2)),(.7,.55,.65),leaf)\\n# stones foreground\\nfor i in range(24):\\n x=random.uniform(-8,8); y=random.uniform(-6,-2); uv('mossy stone',(x,y,.18),(random.uniform(.12,.35),random.uniform(.12,.3),random.uniform(.1,.25)),stone)\\n# camera\\nbpy.ops.object.camera_add(location=(11,-15,10)); cam=bpy.context.object;cam.name='Presentation Camera';bpy.context.scene.camera=cam\\ndef track(obj,pt): obj.rotation_euler=(Vector(pt)-obj.location).to_track_quat('-Z','Y').to_euler()\\ntrack(cam,(0,1,1.8));cam.data.lens=48\\n# lighting\\nbpy.ops.object.light_add(type='AREA', location=(2,-4,11)); key=bpy.context.object;key.name='Soft moonlight';key.data.energy=1500;key.data.shape='DISK';key.data.size=8;track(key,(0,1,0))\\nbpy.ops.object.light_add(type='AREA', location=(-8,-3,5)); fill=bpy.context.object;fill.data.energy=700;fill.data.color=(0.32,0.45,0.55);fill.data.size=7;track(fill,(0,1,1))\\nbpy.ops.object.light_add(type='POINT', location=(0,-2,3));bpy.context.object.data.energy=180;bpy.context.object.data.color=(1.0,.32,.10)\\n# world\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World');bpy.context.scene.world=world;world.use_nodes=True;world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nscene=bpy.context.scene;scene.render.engine='BLENDER_EEVEE_NEXT';scene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\n# ground fog-like large plane? no\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('DONE scene',len(bpy.context.scene.objects))\",\"user_prompt\":\"Create an abandoned village slowly reclaimed by nature with weathered houses, rusted roofs, broken windows, moss, grass, vines, and a clear presentation render.\"}", "parse_error": null}]}
{"ts": "2026-07-15T10:43:50.400954+00:00", "type": "tool_call", "id": "call_s9v2v9ySjVU6WCYi6Ln00BCX", "name": "execute_blender_code", "arguments": {"code": "import bpy, math, random\nfrom mathutils import Vector\nrandom.seed(12)\n# clear\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\nfor d in (bpy.data.materials, bpy.data.curves, bpy.data.meshes, bpy.data.cameras, bpy.data.lights):\n    pass\n# mats\ndef mat(name,color,rough=0.8,metal=0):\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True\n bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal\n return m\nwall=mat('Weathered plaster',(0.27,0.25,0.20)); wall2=mat('Faded ochre plaster',(0.34,0.29,0.20)); wood=mat('Dark rotting timber',(0.12,0.07,0.035)); roof=mat('Rust corroded metal',(0.20,0.075,0.035),.62,.55); roof2=mat('Old blue rust',(0.10,0.13,0.13),.7,.4); dark=mat('Window darkness',(0.012,0.018,0.015)); glass=mat('Broken glass',(0.12,0.22,0.20),.25); moss=mat('Moss',(0.12,0.22,0.07)); vine=mat('Ivy leaves',(0.08,0.18,0.035)); grass=mat('Wild grass',(0.16,0.28,0.06)); earth=mat('Earth',(0.12,0.085,0.045)); stone=mat('Mossy stones',(0.24,0.25,0.18)); leaf=mat('Tree foliage',(0.06,0.15,0.035));\ndef cube(n,loc,scale,ma,bev=0):\n bpy.ops.mesh.primitive_cube_add(location=loc); o=bpy.context.object; o.name=n; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\n if bev: mod=o.modifiers.new('soft eroded edges','BEVEL'); mod.width=bev; mod.segments=2\n o.data.materials.append(ma); return o\ndef cyl(n,loc,r,depth,ma,verts=8):\n bpy.ops.mesh.primitive_cylinder_add(vertices=verts,radius=r,depth=depth,location=loc); o=bpy.context.object;o.name=n;o.data.materials.append(ma); return o\ndef uv(n,loc,scale,ma):\n bpy.ops.mesh.primitive_ico_sphere_add(subdivisions=1,radius=1,location=loc);o=bpy.context.object;o.name=n;o.scale=scale;o.data.materials.append(ma);return o\ndef curve(n,pts,bevel,ma):\n cu=bpy.data.curves.new(n,'CURVE');cu.dimensions='3D';cu.bevel_depth=bevel;cu.bevel_resolution=2; sp=cu.splines.new('BEZIER');sp.bezier_points.add(len(pts)-1)\n for p,co in zip(sp.bezier_points,pts): p.co=co;p.handle_left_type='AUTO';p.handle_right_type='AUTO'\n o=bpy.data.objects.new(n,cu);bpy.context.collection.objects.link(o);o.data.materials.append(ma);return o\n# ground\ncube('Earth clearing',(0,0,-0.35),(10,8,.35),earth,.15)\n# cobbled path\nfor i in range(22):\n x=-7+i*.55+random.uniform(-.12,.12); y=-5.8+random.uniform(-.35,.35)\n cube('buried cobble',(x,y,0.05),(0.25+random.random()*.18,.32,.08),stone,.08).rotation_euler[2]=random.uniform(-.3,.3)\n# house function orientation z, dimensions\n\ndef house(name,x,y,w,d,h,ang,ma,roofmat,broken=True):\n # parent empty\n base=cube(name+' walls',(x,y,h/2),(w/2,d/2,h/2),ma,.08); base.rotation_euler[2]=ang\n # roof two slabs pitched along x local, ridge along y\n for side in (-1,1):\n  r=cube(name+' rusted roof',(x+side*0.30*math.cos(ang),y+side*0.30*math.sin(ang),h+0.72),(w*.40,d/2+.22,.10),roofmat,.035)\n  r.rotation_euler[2]=ang; r.rotation_euler[1]=side*math.radians(32)\n # ridge\n ridge=cube(name+' roof ridge',(x,y,h+1.02),(.13,d/2+.3,.13),roofmat,.03); ridge.rotation_euler[2]=ang\n # doors and windows as dark planes placed on front/back using local coords\n # front y local -d/2\n for lx in (-w*.27,w*.27):\n  px=x+lx*math.cos(ang)-(-d/2-.012)*math.sin(ang); py=y+lx*math.sin(ang)+(-d/2-.012)*math.cos(ang)\n  q=cube(name+' broken window',(px,py,h*.56),(w*.13,.025,h*.16),dark,.02);q.rotation_euler[2]=ang\n  # crooked frame\n  for xx in (-w*.13,w*.13):\n   fx=x+(lx+xx)*math.cos(ang)-(-d/2-.045)*math.sin(ang);fy=y+(lx+xx)*math.sin(ang)+(-d/2-.045)*math.cos(ang)\n   f=cube('splintered window frame',(fx,fy,h*.56),(.025,.04,h*.18),wood);f.rotation_euler[2]=ang\n  # cross diagonal broken glass\n  p1=(x+(lx-w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx-w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.48)\n  p2=(x+(lx+w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx+w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.64)\n  curve('cracked window',[p1,p2],.012,glass)\n # door\n px=x- w*.12*math.cos(ang)-(-d/2-.02)*math.sin(ang);py=y-w*.12*math.sin(ang)+(-d/2-.02)*math.cos(ang)\n door=cube(name+' sagging door',(px,py,h*.34),(w*.18,.035,h*.34),wood,.03);door.rotation_euler[2]=ang\n # timber braces on front\n for z in (h*.25,h*.72):\n  b=cube(name+' exposed beam',(x,y-d/2-.06,z), (w/2,.07,.06),wood);b.rotation_euler[2]=ang\n # moss patches along base\n for i in range(7):\n  lx=random.uniform(-w/2,w/2); side=random.choice([-1,1]); px=x+lx*math.cos(ang)-side*d/2*math.sin(ang);py=y+lx*math.sin(ang)+side*d/2*math.cos(ang)\n  uv('moss on wall',(px,py+random.uniform(-.04,.04),random.uniform(.25,.65)),(.18,.06,.13),moss)\n return base\nhouse('North cottage',0,1.9,4.2,3.0,2.8,.08,wall,roof)\nhouse('West cottage',-5,1.0,3.5,2.8,2.5,-.18,wall2,roof2)\nhouse('East cottage',5,2.8,3.3,2.6,2.35,.25,wall,roof)\n# collapsed shed / ruin\ncube('collapsed stone wall',(1.7,-2.0,1.0),(2.0,.28,1.0),stone,.08); cube('fallen roof',(2,-2.0,2.15),(1.8,1.2,.12),roof,.05).rotation_euler[1]=.18\n# roof corrugation bars and rust patches across visible roofs\nfor hx,hy,w,d,h,ang in [(0,1.9,4.2,3,2.8,.08),(-5,1,3.5,2.8,2.5,-.18),(5,2.8,3.3,2.6,2.35,.25)]:\n for side in (-1,1):\n  for j in range(7):\n   ly=-d/2+j*d/6; # local y\n   xx=hx+side*.30*math.cos(ang)-ly*math.sin(ang); yy=hy+side*.30*math.sin(ang)+ly*math.cos(ang)\n   bar=cube('roof corrugation',(xx,yy,h+.72+abs(.30)*.0),(w*.39,.018,.035),roof2 if side<0 else roof,.02);bar.rotation_euler[2]=ang;bar.rotation_euler[1]=side*math.radians(32)\n# vegetation grass clumps\nfor i in range(150):\n x=random.uniform(-9,9); y=random.uniform(-6.5,6.5)\n if random.random()<.55 and y>4: continue\n z=.05\n for k in range(random.randint(2,5)):\n  xx=x+random.uniform(-.18,.18); yy=y+random.uniform(-.18,.18); ht=random.uniform(.18,.55)\n  curve('grass blade',[(xx,yy,z),(xx+random.uniform(-.12,.12),yy, z+ht*.65),(xx+random.uniform(-.18,.18),yy,z+ht)],.018,grass)\n# vines climbing fronts and roof edges\nfor x,y in [(-1.7,.35),(1.5,.35),(-6.3,-.4),(4.1,1.4),(6.1,3.0)]:\n pts=[(x,y-.04,.15),(x+.12,y-.05,.9),(x-.08,y-.03,1.7),(x+.18,y-.05,2.45),(x+.35,y-.1,3.25)]\n curve('climbing vine',pts,.035,vine)\n for p in pts[1:]: uv('ivy leaf',(p[0]+random.uniform(-.12,.12),p[1]-.05,p[2]),(.13,.04,.09),vine)\n# back trees\nfor x,y in [(-8,5.5),(-6,6.2),(7,5.8),(8,3.8)]:\n cyl('dead tree trunk',(x,y,2.0),.22,4,wood,7)\n curve('gnarled branch',[(x,y,3),(x+random.uniform(-1,1),y,4),(x+random.uniform(-1.5,1.5),y,5)],.10,wood)\n for k in range(8): uv('wild tree crown',(x+random.uniform(-1.4,1.4),y+random.uniform(-.4,.5),4.4+random.uniform(-.4,1.2)),(.7,.55,.65),leaf)\n# stones foreground\nfor i in range(24):\n x=random.uniform(-8,8); y=random.uniform(-6,-2); uv('mossy stone',(x,y,.18),(random.uniform(.12,.35),random.uniform(.12,.3),random.uniform(.1,.25)),stone)\n# camera\nbpy.ops.object.camera_add(location=(11,-15,10)); cam=bpy.context.object;cam.name='Presentation Camera';bpy.context.scene.camera=cam\ndef track(obj,pt): obj.rotation_euler=(Vector(pt)-obj.location).to_track_quat('-Z','Y').to_euler()\ntrack(cam,(0,1,1.8));cam.data.lens=48\n# lighting\nbpy.ops.object.light_add(type='AREA', location=(2,-4,11)); key=bpy.context.object;key.name='Soft moonlight';key.data.energy=1500;key.data.shape='DISK';key.data.size=8;track(key,(0,1,0))\nbpy.ops.object.light_add(type='AREA', location=(-8,-3,5)); fill=bpy.context.object;fill.data.energy=700;fill.data.color=(0.32,0.45,0.55);fill.data.size=7;track(fill,(0,1,1))\nbpy.ops.object.light_add(type='POINT', location=(0,-2,3));bpy.context.object.data.energy=180;bpy.context.object.data.color=(1.0,.32,.10)\n# world\nworld=bpy.context.scene.world or bpy.data.worlds.new('World');bpy.context.scene.world=world;world.use_nodes=True;world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\nscene=bpy.context.scene;scene.render.engine='BLENDER_EEVEE_NEXT';scene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\nscene.view_settings.look='AgX - Medium High Contrast'\n# ground fog-like large plane? no\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\nbpy.ops.render.render(write_still=True)\nprint('DONE scene',len(bpy.context.scene.objects))", "user_prompt": "Create an abandoned village slowly reclaimed by nature with weathered houses, rusted roofs, broken windows, moss, grass, vines, and a clear presentation render."}, "raw_arguments": "{\"code\":\"import bpy, math, random\\nfrom mathutils import Vector\\nrandom.seed(12)\\n# clear\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\nfor d in (bpy.data.materials, bpy.data.curves, bpy.data.meshes, bpy.data.cameras, bpy.data.lights):\\n    pass\\n# mats\\ndef mat(name,color,rough=0.8,metal=0):\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True\\n bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal\\n return m\\nwall=mat('Weathered plaster',(0.27,0.25,0.20)); wall2=mat('Faded ochre plaster',(0.34,0.29,0.20)); wood=mat('Dark rotting timber',(0.12,0.07,0.035)); roof=mat('Rust corroded metal',(0.20,0.075,0.035),.62,.55); roof2=mat('Old blue rust',(0.10,0.13,0.13),.7,.4); dark=mat('Window darkness',(0.012,0.018,0.015)); glass=mat('Broken glass',(0.12,0.22,0.20),.25); moss=mat('Moss',(0.12,0.22,0.07)); vine=mat('Ivy leaves',(0.08,0.18,0.035)); grass=mat('Wild grass',(0.16,0.28,0.06)); earth=mat('Earth',(0.12,0.085,0.045)); stone=mat('Mossy stones',(0.24,0.25,0.18)); leaf=mat('Tree foliage',(0.06,0.15,0.035));\\ndef cube(n,loc,scale,ma,bev=0):\\n bpy.ops.mesh.primitive_cube_add(location=loc); o=bpy.context.object; o.name=n; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\n if bev: mod=o.modifiers.new('soft eroded edges','BEVEL'); mod.width=bev; mod.segments=2\\n o.data.materials.append(ma); return o\\ndef cyl(n,loc,r,depth,ma,verts=8):\\n bpy.ops.mesh.primitive_cylinder_add(vertices=verts,radius=r,depth=depth,location=loc); o=bpy.context.object;o.name=n;o.data.materials.append(ma); return o\\ndef uv(n,loc,scale,ma):\\n bpy.ops.mesh.primitive_ico_sphere_add(subdivisions=1,radius=1,location=loc);o=bpy.context.object;o.name=n;o.scale=scale;o.data.materials.append(ma);return o\\ndef curve(n,pts,bevel,ma):\\n cu=bpy.data.curves.new(n,'CURVE');cu.dimensions='3D';cu.bevel_depth=bevel;cu.bevel_resolution=2; sp=cu.splines.new('BEZIER');sp.bezier_points.add(len(pts)-1)\\n for p,co in zip(sp.bezier_points,pts): p.co=co;p.handle_left_type='AUTO';p.handle_right_type='AUTO'\\n o=bpy.data.objects.new(n,cu);bpy.context.collection.objects.link(o);o.data.materials.append(ma);return o\\n# ground\\ncube('Earth clearing',(0,0,-0.35),(10,8,.35),earth,.15)\\n# cobbled path\\nfor i in range(22):\\n x=-7+i*.55+random.uniform(-.12,.12); y=-5.8+random.uniform(-.35,.35)\\n cube('buried cobble',(x,y,0.05),(0.25+random.random()*.18,.32,.08),stone,.08).rotation_euler[2]=random.uniform(-.3,.3)\\n# house function orientation z, dimensions\\n\\ndef house(name,x,y,w,d,h,ang,ma,roofmat,broken=True):\\n # parent empty\\n base=cube(name+' walls',(x,y,h/2),(w/2,d/2,h/2),ma,.08); base.rotation_euler[2]=ang\\n # roof two slabs pitched along x local, ridge along y\\n for side in (-1,1):\\n  r=cube(name+' rusted roof',(x+side*0.30*math.cos(ang),y+side*0.30*math.sin(ang),h+0.72),(w*.40,d/2+.22,.10),roofmat,.035)\\n  r.rotation_euler[2]=ang; r.rotation_euler[1]=side*math.radians(32)\\n # ridge\\n ridge=cube(name+' roof ridge',(x,y,h+1.02),(.13,d/2+.3,.13),roofmat,.03); ridge.rotation_euler[2]=ang\\n # doors and windows as dark planes placed on front/back using local coords\\n # front y local -d/2\\n for lx in (-w*.27,w*.27):\\n  px=x+lx*math.cos(ang)-(-d/2-.012)*math.sin(ang); py=y+lx*math.sin(ang)+(-d/2-.012)*math.cos(ang)\\n  q=cube(name+' broken window',(px,py,h*.56),(w*.13,.025,h*.16),dark,.02);q.rotation_euler[2]=ang\\n  # crooked frame\\n  for xx in (-w*.13,w*.13):\\n   fx=x+(lx+xx)*math.cos(ang)-(-d/2-.045)*math.sin(ang);fy=y+(lx+xx)*math.sin(ang)+(-d/2-.045)*math.cos(ang)\\n   f=cube('splintered window frame',(fx,fy,h*.56),(.025,.04,h*.18),wood);f.rotation_euler[2]=ang\\n  # cross diagonal broken glass\\n  p1=(x+(lx-w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx-w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.48)\\n  p2=(x+(lx+w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx+w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.64)\\n  curve('cracked window',[p1,p2],.012,glass)\\n # door\\n px=x- w*.12*math.cos(ang)-(-d/2-.02)*math.sin(ang);py=y-w*.12*math.sin(ang)+(-d/2-.02)*math.cos(ang)\\n door=cube(name+' sagging door',(px,py,h*.34),(w*.18,.035,h*.34),wood,.03);door.rotation_euler[2]=ang\\n # timber braces on front\\n for z in (h*.25,h*.72):\\n  b=cube(name+' exposed beam',(x,y-d/2-.06,z), (w/2,.07,.06),wood);b.rotation_euler[2]=ang\\n # moss patches along base\\n for i in range(7):\\n  lx=random.uniform(-w/2,w/2); side=random.choice([-1,1]); px=x+lx*math.cos(ang)-side*d/2*math.sin(ang);py=y+lx*math.sin(ang)+side*d/2*math.cos(ang)\\n  uv('moss on wall',(px,py+random.uniform(-.04,.04),random.uniform(.25,.65)),(.18,.06,.13),moss)\\n return base\\nhouse('North cottage',0,1.9,4.2,3.0,2.8,.08,wall,roof)\\nhouse('West cottage',-5,1.0,3.5,2.8,2.5,-.18,wall2,roof2)\\nhouse('East cottage',5,2.8,3.3,2.6,2.35,.25,wall,roof)\\n# collapsed shed / ruin\\ncube('collapsed stone wall',(1.7,-2.0,1.0),(2.0,.28,1.0),stone,.08); cube('fallen roof',(2,-2.0,2.15),(1.8,1.2,.12),roof,.05).rotation_euler[1]=.18\\n# roof corrugation bars and rust patches across visible roofs\\nfor hx,hy,w,d,h,ang in [(0,1.9,4.2,3,2.8,.08),(-5,1,3.5,2.8,2.5,-.18),(5,2.8,3.3,2.6,2.35,.25)]:\\n for side in (-1,1):\\n  for j in range(7):\\n   ly=-d/2+j*d/6; # local y\\n   xx=hx+side*.30*math.cos(ang)-ly*math.sin(ang); yy=hy+side*.30*math.sin(ang)+ly*math.cos(ang)\\n   bar=cube('roof corrugation',(xx,yy,h+.72+abs(.30)*.0),(w*.39,.018,.035),roof2 if side<0 else roof,.02);bar.rotation_euler[2]=ang;bar.rotation_euler[1]=side*math.radians(32)\\n# vegetation grass clumps\\nfor i in range(150):\\n x=random.uniform(-9,9); y=random.uniform(-6.5,6.5)\\n if random.random()<.55 and y>4: continue\\n z=.05\\n for k in range(random.randint(2,5)):\\n  xx=x+random.uniform(-.18,.18); yy=y+random.uniform(-.18,.18); ht=random.uniform(.18,.55)\\n  curve('grass blade',[(xx,yy,z),(xx+random.uniform(-.12,.12),yy, z+ht*.65),(xx+random.uniform(-.18,.18),yy,z+ht)],.018,grass)\\n# vines climbing fronts and roof edges\\nfor x,y in [(-1.7,.35),(1.5,.35),(-6.3,-.4),(4.1,1.4),(6.1,3.0)]:\\n pts=[(x,y-.04,.15),(x+.12,y-.05,.9),(x-.08,y-.03,1.7),(x+.18,y-.05,2.45),(x+.35,y-.1,3.25)]\\n curve('climbing vine',pts,.035,vine)\\n for p in pts[1:]: uv('ivy leaf',(p[0]+random.uniform(-.12,.12),p[1]-.05,p[2]),(.13,.04,.09),vine)\\n# back trees\\nfor x,y in [(-8,5.5),(-6,6.2),(7,5.8),(8,3.8)]:\\n cyl('dead tree trunk',(x,y,2.0),.22,4,wood,7)\\n curve('gnarled branch',[(x,y,3),(x+random.uniform(-1,1),y,4),(x+random.uniform(-1.5,1.5),y,5)],.10,wood)\\n for k in range(8): uv('wild tree crown',(x+random.uniform(-1.4,1.4),y+random.uniform(-.4,.5),4.4+random.uniform(-.4,1.2)),(.7,.55,.65),leaf)\\n# stones foreground\\nfor i in range(24):\\n x=random.uniform(-8,8); y=random.uniform(-6,-2); uv('mossy stone',(x,y,.18),(random.uniform(.12,.35),random.uniform(.12,.3),random.uniform(.1,.25)),stone)\\n# camera\\nbpy.ops.object.camera_add(location=(11,-15,10)); cam=bpy.context.object;cam.name='Presentation Camera';bpy.context.scene.camera=cam\\ndef track(obj,pt): obj.rotation_euler=(Vector(pt)-obj.location).to_track_quat('-Z','Y').to_euler()\\ntrack(cam,(0,1,1.8));cam.data.lens=48\\n# lighting\\nbpy.ops.object.light_add(type='AREA', location=(2,-4,11)); key=bpy.context.object;key.name='Soft moonlight';key.data.energy=1500;key.data.shape='DISK';key.data.size=8;track(key,(0,1,0))\\nbpy.ops.object.light_add(type='AREA', location=(-8,-3,5)); fill=bpy.context.object;fill.data.energy=700;fill.data.color=(0.32,0.45,0.55);fill.data.size=7;track(fill,(0,1,1))\\nbpy.ops.object.light_add(type='POINT', location=(0,-2,3));bpy.context.object.data.energy=180;bpy.context.object.data.color=(1.0,.32,.10)\\n# world\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World');bpy.context.scene.world=world;world.use_nodes=True;world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nscene=bpy.context.scene;scene.render.engine='BLENDER_EEVEE_NEXT';scene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\n# ground fog-like large plane? no\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('DONE scene',len(bpy.context.scene.objects))\",\"user_prompt\":\"Create an abandoned village slowly reclaimed by nature with weathered houses, rusted roofs, broken windows, moss, grass, vines, and a clear presentation render.\"}"}
{"ts": "2026-07-15T10:43:57.899658+00:00", "type": "tool_result", "tool_call_id": "call_s9v2v9ySjVU6WCYi6Ln00BCX", "name": "execute_blender_code", "text": "Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \"BLENDER_EEVEE_NEXT\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')", "is_error": false, "has_image": false, "image_b64": null}
{"ts": "2026-07-15T10:44:01.566488+00:00", "type": "llm_call", "call_index": 2, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T10:43:57.900832+00:00", "finished_at": "2026-07-15T10:44:01.566488+00:00", "duration_s": 3.6710000000020955, "request": {"messages": [{"role": "system", "content": "You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\n\nYour result will be compared head-to-head with another model. Anyone on the internet can vote, based only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\n\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\n\nThe final published capture is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. The saved scene is also exported to GLB with geometry, materials, the contestant camera, and supported lights for interactive inspection. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\n\n## Harness Instructions\n\nYou are operating Blender through the provided tools. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. The saved scene is also exported to GLB with geometry, materials, your camera, and supported lights for interactive inspection. When you are finished, reply with the single word DONE and no tool calls."}, {"role": "user", "content": "## Task\n\nComplete the following Blender task:\n\n<task>\n\nAn abandoned village slowly reclaimed by nature. Weathered houses with rusted, corroded metal roofs; overgrown foliage creeping up the walls and through broken windows; moss, grass, and vines spreading across the ground and over the rooftops. Convey age, decay, and the quiet return of the wild.\n\n</task>"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_s9v2v9ySjVU6WCYi6Ln00BCX", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, math, random\\nfrom mathutils import Vector\\nrandom.seed(12)\\n# clear\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\nfor d in (bpy.data.materials, bpy.data.curves, bpy.data.meshes, bpy.data.cameras, bpy.data.lights):\\n    pass\\n# mats\\ndef mat(name,color,rough=0.8,metal=0):\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True\\n bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal\\n return m\\nwall=mat('Weathered plaster',(0.27,0.25,0.20)); wall2=mat('Faded ochre plaster',(0.34,0.29,0.20)); wood=mat('Dark rotting timber',(0.12,0.07,0.035)); roof=mat('Rust corroded metal',(0.20,0.075,0.035),.62,.55); roof2=mat('Old blue rust',(0.10,0.13,0.13),.7,.4); dark=mat('Window darkness',(0.012,0.018,0.015)); glass=mat('Broken glass',(0.12,0.22,0.20),.25); moss=mat('Moss',(0.12,0.22,0.07)); vine=mat('Ivy leaves',(0.08,0.18,0.035)); grass=mat('Wild grass',(0.16,0.28,0.06)); earth=mat('Earth',(0.12,0.085,0.045)); stone=mat('Mossy stones',(0.24,0.25,0.18)); leaf=mat('Tree foliage',(0.06,0.15,0.035));\\ndef cube(n,loc,scale,ma,bev=0):\\n bpy.ops.mesh.primitive_cube_add(location=loc); o=bpy.context.object; o.name=n; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\n if bev: mod=o.modifiers.new('soft eroded edges','BEVEL'); mod.width=bev; mod.segments=2\\n o.data.materials.append(ma); return o\\ndef cyl(n,loc,r,depth,ma,verts=8):\\n bpy.ops.mesh.primitive_cylinder_add(vertices=verts,radius=r,depth=depth,location=loc); o=bpy.context.object;o.name=n;o.data.materials.append(ma); return o\\ndef uv(n,loc,scale,ma):\\n bpy.ops.mesh.primitive_ico_sphere_add(subdivisions=1,radius=1,location=loc);o=bpy.context.object;o.name=n;o.scale=scale;o.data.materials.append(ma);return o\\ndef curve(n,pts,bevel,ma):\\n cu=bpy.data.curves.new(n,'CURVE');cu.dimensions='3D';cu.bevel_depth=bevel;cu.bevel_resolution=2; sp=cu.splines.new('BEZIER');sp.bezier_points.add(len(pts)-1)\\n for p,co in zip(sp.bezier_points,pts): p.co=co;p.handle_left_type='AUTO';p.handle_right_type='AUTO'\\n o=bpy.data.objects.new(n,cu);bpy.context.collection.objects.link(o);o.data.materials.append(ma);return o\\n# ground\\ncube('Earth clearing',(0,0,-0.35),(10,8,.35),earth,.15)\\n# cobbled path\\nfor i in range(22):\\n x=-7+i*.55+random.uniform(-.12,.12); y=-5.8+random.uniform(-.35,.35)\\n cube('buried cobble',(x,y,0.05),(0.25+random.random()*.18,.32,.08),stone,.08).rotation_euler[2]=random.uniform(-.3,.3)\\n# house function orientation z, dimensions\\n\\ndef house(name,x,y,w,d,h,ang,ma,roofmat,broken=True):\\n # parent empty\\n base=cube(name+' walls',(x,y,h/2),(w/2,d/2,h/2),ma,.08); base.rotation_euler[2]=ang\\n # roof two slabs pitched along x local, ridge along y\\n for side in (-1,1):\\n  r=cube(name+' rusted roof',(x+side*0.30*math.cos(ang),y+side*0.30*math.sin(ang),h+0.72),(w*.40,d/2+.22,.10),roofmat,.035)\\n  r.rotation_euler[2]=ang; r.rotation_euler[1]=side*math.radians(32)\\n # ridge\\n ridge=cube(name+' roof ridge',(x,y,h+1.02),(.13,d/2+.3,.13),roofmat,.03); ridge.rotation_euler[2]=ang\\n # doors and windows as dark planes placed on front/back using local coords\\n # front y local -d/2\\n for lx in (-w*.27,w*.27):\\n  px=x+lx*math.cos(ang)-(-d/2-.012)*math.sin(ang); py=y+lx*math.sin(ang)+(-d/2-.012)*math.cos(ang)\\n  q=cube(name+' broken window',(px,py,h*.56),(w*.13,.025,h*.16),dark,.02);q.rotation_euler[2]=ang\\n  # crooked frame\\n  for xx in (-w*.13,w*.13):\\n   fx=x+(lx+xx)*math.cos(ang)-(-d/2-.045)*math.sin(ang);fy=y+(lx+xx)*math.sin(ang)+(-d/2-.045)*math.cos(ang)\\n   f=cube('splintered window frame',(fx,fy,h*.56),(.025,.04,h*.18),wood);f.rotation_euler[2]=ang\\n  # cross diagonal broken glass\\n  p1=(x+(lx-w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx-w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.48)\\n  p2=(x+(lx+w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx+w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.64)\\n  curve('cracked window',[p1,p2],.012,glass)\\n # door\\n px=x- w*.12*math.cos(ang)-(-d/2-.02)*math.sin(ang);py=y-w*.12*math.sin(ang)+(-d/2-.02)*math.cos(ang)\\n door=cube(name+' sagging door',(px,py,h*.34),(w*.18,.035,h*.34),wood,.03);door.rotation_euler[2]=ang\\n # timber braces on front\\n for z in (h*.25,h*.72):\\n  b=cube(name+' exposed beam',(x,y-d/2-.06,z), (w/2,.07,.06),wood);b.rotation_euler[2]=ang\\n # moss patches along base\\n for i in range(7):\\n  lx=random.uniform(-w/2,w/2); side=random.choice([-1,1]); px=x+lx*math.cos(ang)-side*d/2*math.sin(ang);py=y+lx*math.sin(ang)+side*d/2*math.cos(ang)\\n  uv('moss on wall',(px,py+random.uniform(-.04,.04),random.uniform(.25,.65)),(.18,.06,.13),moss)\\n return base\\nhouse('North cottage',0,1.9,4.2,3.0,2.8,.08,wall,roof)\\nhouse('West cottage',-5,1.0,3.5,2.8,2.5,-.18,wall2,roof2)\\nhouse('East cottage',5,2.8,3.3,2.6,2.35,.25,wall,roof)\\n# collapsed shed / ruin\\ncube('collapsed stone wall',(1.7,-2.0,1.0),(2.0,.28,1.0),stone,.08); cube('fallen roof',(2,-2.0,2.15),(1.8,1.2,.12),roof,.05).rotation_euler[1]=.18\\n# roof corrugation bars and rust patches across visible roofs\\nfor hx,hy,w,d,h,ang in [(0,1.9,4.2,3,2.8,.08),(-5,1,3.5,2.8,2.5,-.18),(5,2.8,3.3,2.6,2.35,.25)]:\\n for side in (-1,1):\\n  for j in range(7):\\n   ly=-d/2+j*d/6; # local y\\n   xx=hx+side*.30*math.cos(ang)-ly*math.sin(ang); yy=hy+side*.30*math.sin(ang)+ly*math.cos(ang)\\n   bar=cube('roof corrugation',(xx,yy,h+.72+abs(.30)*.0),(w*.39,.018,.035),roof2 if side<0 else roof,.02);bar.rotation_euler[2]=ang;bar.rotation_euler[1]=side*math.radians(32)\\n# vegetation grass clumps\\nfor i in range(150):\\n x=random.uniform(-9,9); y=random.uniform(-6.5,6.5)\\n if random.random()<.55 and y>4: continue\\n z=.05\\n for k in range(random.randint(2,5)):\\n  xx=x+random.uniform(-.18,.18); yy=y+random.uniform(-.18,.18); ht=random.uniform(.18,.55)\\n  curve('grass blade',[(xx,yy,z),(xx+random.uniform(-.12,.12),yy, z+ht*.65),(xx+random.uniform(-.18,.18),yy,z+ht)],.018,grass)\\n# vines climbing fronts and roof edges\\nfor x,y in [(-1.7,.35),(1.5,.35),(-6.3,-.4),(4.1,1.4),(6.1,3.0)]:\\n pts=[(x,y-.04,.15),(x+.12,y-.05,.9),(x-.08,y-.03,1.7),(x+.18,y-.05,2.45),(x+.35,y-.1,3.25)]\\n curve('climbing vine',pts,.035,vine)\\n for p in pts[1:]: uv('ivy leaf',(p[0]+random.uniform(-.12,.12),p[1]-.05,p[2]),(.13,.04,.09),vine)\\n# back trees\\nfor x,y in [(-8,5.5),(-6,6.2),(7,5.8),(8,3.8)]:\\n cyl('dead tree trunk',(x,y,2.0),.22,4,wood,7)\\n curve('gnarled branch',[(x,y,3),(x+random.uniform(-1,1),y,4),(x+random.uniform(-1.5,1.5),y,5)],.10,wood)\\n for k in range(8): uv('wild tree crown',(x+random.uniform(-1.4,1.4),y+random.uniform(-.4,.5),4.4+random.uniform(-.4,1.2)),(.7,.55,.65),leaf)\\n# stones foreground\\nfor i in range(24):\\n x=random.uniform(-8,8); y=random.uniform(-6,-2); uv('mossy stone',(x,y,.18),(random.uniform(.12,.35),random.uniform(.12,.3),random.uniform(.1,.25)),stone)\\n# camera\\nbpy.ops.object.camera_add(location=(11,-15,10)); cam=bpy.context.object;cam.name='Presentation Camera';bpy.context.scene.camera=cam\\ndef track(obj,pt): obj.rotation_euler=(Vector(pt)-obj.location).to_track_quat('-Z','Y').to_euler()\\ntrack(cam,(0,1,1.8));cam.data.lens=48\\n# lighting\\nbpy.ops.object.light_add(type='AREA', location=(2,-4,11)); key=bpy.context.object;key.name='Soft moonlight';key.data.energy=1500;key.data.shape='DISK';key.data.size=8;track(key,(0,1,0))\\nbpy.ops.object.light_add(type='AREA', location=(-8,-3,5)); fill=bpy.context.object;fill.data.energy=700;fill.data.color=(0.32,0.45,0.55);fill.data.size=7;track(fill,(0,1,1))\\nbpy.ops.object.light_add(type='POINT', location=(0,-2,3));bpy.context.object.data.energy=180;bpy.context.object.data.color=(1.0,.32,.10)\\n# world\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World');bpy.context.scene.world=world;world.use_nodes=True;world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nscene=bpy.context.scene;scene.render.engine='BLENDER_EEVEE_NEXT';scene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\n# ground fog-like large plane? no\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('DONE scene',len(bpy.context.scene.objects))\",\"user_prompt\":\"Create an abandoned village slowly reclaimed by nature with weathered houses, rusted roofs, broken windows, moss, grass, vines, and a clear presentation render.\"}"}}]}, {"role": "tool", "tool_call_id": "call_s9v2v9ySjVU6WCYi6Ln00BCX", "content": "Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \"BLENDER_EEVEE_NEXT\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')"}], "tools": [{"type": "function", "function": {"name": "get_scene_info", "description": "Get detailed information about the current Blender scene\n\n    Parameters:\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\n    ", "parameters": {"properties": {"user_prompt": {"title": "User Prompt", "type": "string"}}, "required": ["user_prompt"], "title": "get_scene_infoArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_object_info", "description": "\n    Get detailed information about a specific object in the Blender scene.\n\n    Parameters:\n    - object_name: The name of the object to get information about\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"object_name": {"title": "Object Name", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["object_name"], "title": "get_object_infoArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_viewport_screenshot", "description": "\n    Capture a screenshot of the current Blender 3D viewport.\n\n    Parameters:\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns the screenshot as an Image.\n    ", "parameters": {"properties": {"max_size": {"default": 1000, "title": "Max Size", "type": "integer"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_viewport_screenshotArguments", "type": "object"}}}, {"type": "function", "function": {"name": "execute_blender_code", "description": "\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"code": {"title": "Code", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["code"], "title": "execute_blender_codeArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_polyhaven_categories", "description": "\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"asset_type": {"default": "hdris", "title": "Asset Type", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_polyhaven_categoriesArguments", "type": "object"}}}, {"type": "function", "function": {"name": "search_polyhaven_assets", "description": "\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ", "parameters": {"properties": {"asset_type": {"default": "all", "title": "Asset Type", "type": "string"}, "categories": {"default": null, "title": "Categories", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "search_polyhaven_assetsArguments", "type": "object"}}}, {"type": "function", "function": {"name": "download_polyhaven_asset", "description": "\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"asset_id": {"title": "Asset Id", "type": "string"}, "asset_type": {"title": "Asset Type", "type": "string"}, "resolution": {"default": "1k", "title": "Resolution", "type": "string"}, "file_format": {"default": null, "title": "File Format", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["asset_id", "asset_type"], "title": "download_polyhaven_assetArguments", "type": "object"}}}, {"type": "function", "function": {"name": "set_texture", "description": "\n    Apply a previously downloaded Polyhaven texture to an object.\n    \n    Parameters:\n    - object_name: Name of the object to apply the texture to\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\n    \n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"object_name": {"title": "Object Name", "type": "string"}, "texture_id": {"title": "Texture Id", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["object_name", "texture_id"], "title": "set_textureArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_polyhaven_status", "description": "\n    Check if PolyHaven integration is enabled in Blender.\n    Returns a message indicating whether PolyHaven features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_polyhaven_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_hyper3d_status", "description": "\n    Check if Hyper3D Rodin integration is enabled in Blender.\n    Returns a message indicating whether Hyper3D Rodin features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_hyper3d_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_sketchfab_status", "description": "\n    Check if Sketchfab integration is enabled in Blender.\n    Returns a message indicating whether Sketchfab features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_sketchfab_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "search_sketchfab_models", "description": "\n    Search for models on Sketchfab with optional filtering.\n\n    Parameters:\n    - query: Text to search for\n    - categories: Optional comma-separated list of categories\n    - count: Maximum number of results to return (default 20)\n    - downloadable: Whether to include only downloadable models (default True)\n\n    Returns a formatted list of matching models.\n    ", "parameters": {"properties": {"query": {"title": "Query", "type": "string"}, "categories": {"default": null, "title": "Categories", "type": "string"}, "count": {"default": 20, "title": "Count", "type": "integer"}, "downloadable": {"default": true, "title": "Downloadable", "type": "boolean"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["query"], "title": "search_sketchfab_modelsArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_sketchfab_model_preview", "description": "\n    Get a preview thumbnail of a Sketchfab model by its UID.\n    Use this to visually confirm a model before downloading.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\n    \n    Returns the model's thumbnail as an Image for visual confirmation.\n    ", "parameters": {"properties": {"uid": {"title": "Uid", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["uid"], "title": "get_sketchfab_model_previewArguments", "type": "object"}}}, {"type": "function", "function": {"name": "download_sketchfab_model", "description": "\n    Download and import a Sketchfab model by its UID.\n    The model will be scaled so its largest dimension equals target_size.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\n                  You must specify the desired size for the model.\n                  Examples:\n                  - Chair: target_size=1.0 (1 meter tall)\n                  - Table: target_size=0.75 (75cm tall)\n                  - Car: target_size=4.5 (4.5 meters long)\n                  - Person: target_size=1.7 (1.7 meters tall)\n                  - Small object (cup, phone): target_size=0.1 to 0.3\n    \n    Returns a message with import details including object names, dimensions, and bounding box.\n    The model must be downloadable and you must have proper access rights.\n    ", "parameters": {"properties": {"uid": {"title": "Uid", "type": "string"}, "target_size": {"title": "Target Size", "type": "number"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["uid", "target_size"], "title": "download_sketchfab_modelArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hyper3d_model_via_text", "description": "\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n\n    Parameters:\n    - text_prompt: A short description of the desired model in **English**.\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"text_prompt": {"title": "Text Prompt", "type": "string"}, "bbox_condition": {"default": null, "items": {"type": "number"}, "title": "Bbox Condition", "type": "array"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["text_prompt"], "title": "generate_hyper3d_model_via_textArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hyper3d_model_via_images", "description": "\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n    \n    Parameters:\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"input_image_paths": {"default": null, "items": {"type": "string"}, "title": "Input Image Paths", "type": "array"}, "input_image_urls": {"default": null, "items": {"type": "string"}, "title": "Input Image Urls", "type": "array"}, "bbox_condition": {"default": null, "items": {"type": "number"}, "title": "Bbox Condition", "type": "array"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "generate_hyper3d_model_via_imagesArguments", "type": "object"}}}, {"type": "function", "function": {"name": "poll_rodin_job_status", "description": "\n    Check if the Hyper3D Rodin generation task is completed.\n\n    For Hyper3D Rodin mode MAIN_SITE:\n        Parameters:\n        - subscription_key: The subscription_key given in the generate model step.\n\n        Returns a list of status. The task is done if all status are \"Done\".\n        If \"Failed\" showed up, the generating process failed.\n        This is a polling API, so only proceed if the status are finally determined (\"Done\" or \"Canceled\").\n\n    For Hyper3D Rodin mode FAL_AI:\n        Parameters:\n        - request_id: The request_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"COMPLETED\".\n        The task is in progress if status is \"IN_PROGRESS\".\n        If status other than \"COMPLETED\", \"IN_PROGRESS\", \"IN_QUEUE\" showed up, the generating process might be failed.\n        This is a polling API, so only proceed if the status are finally determined (\"COMPLETED\" or some failed state).\n    ", "parameters": {"properties": {"subscription_key": {"default": null, "title": "Subscription Key", "type": "string"}, "request_id": {"default": null, "title": "Request Id", "type": "string"}}, "title": "poll_rodin_job_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "import_generated_asset", "description": "\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\n\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\n    Return if the asset has been imported successfully.\n    ", "parameters": {"properties": {"name": {"title": "Name", "type": "string"}, "task_uuid": {"default": null, "title": "Task Uuid", "type": "string"}, "request_id": {"default": null, "title": "Request Id", "type": "string"}}, "required": ["name"], "title": "import_generated_assetArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_hunyuan3d_status", "description": "\n    Check if Hunyuan3D integration is enabled in Blender.\n    Returns a message indicating whether Hunyuan3D features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_hunyuan3d_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hunyuan3d_model", "description": "\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \n    or both for the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    \n    Parameters:\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\n\n    Returns: \n    - When successful, returns a JSON with job_id (format: \"job_xxx\") indicating the task is in progress\n    - When the job completes, the status will change to \"DONE\" indicating the model has been imported\n    - Returns error message if the operation fails\n    ", "parameters": {"properties": {"text_prompt": {"default": null, "title": "Text Prompt", "type": "string"}, "input_image_url": {"default": null, "title": "Input Image Url", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "generate_hunyuan3d_modelArguments", "type": "object"}}}, {"type": "function", "function": {"name": "poll_hunyuan_job_status", "description": "\n    Check if the Hunyuan3D generation task is completed.\n\n    For Hunyuan3D:\n        Parameters:\n        - job_id: The job_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"DONE\".\n        The task is in progress if status is \"RUN\".\n        If status is \"DONE\", returns ResultFile3Ds, which is the generated ZIP model path\n        When the status is \"DONE\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\n        This is a polling API, so only proceed if the status are finally determined (\"DONE\" or some failed state).\n    ", "parameters": {"properties": {"job_id": {"default": null, "title": "Job Id", "type": "string"}}, "title": "poll_hunyuan_job_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "import_generated_asset_hunyuan", "description": "\n    Import the asset generated by Hunyuan3D after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - zip_file_url: The zip_file_url given in the generate model step.\n\n    Return if the asset has been imported successfully.\n    ", "parameters": {"properties": {"name": {"title": "Name", "type": "string"}, "zip_file_url": {"title": "Zip File Url", "type": "string"}}, "required": ["name", "zip_file_url"], "title": "import_generated_asset_hunyuanArguments", "type": "object"}}}]}, "provider_attempts": [{"provider": "openrouter", "attempt": 1, "started_at": "2026-07-15T10:43:57.900832+00:00", "finished_at": "2026-07-15T10:44:01.565290+00:00", "duration_s": 3.6710000000020955, "request": {"method": "POST", "url": "https://openrouter.ai/api/v1/chat/completions", "headers": {"host": "openrouter.ai", "accept": "*/*", "accept-encoding": "gzip, deflate", "connection": "keep-alive", "user-agent": "python-httpx/0.28.1", "authorization": "[REDACTED]", "content-length": "28578", "content-type": "application/json"}, "body": "{\"model\":\"openai/gpt-5.6-luna\",\"messages\":[{\"role\":\"system\",\"content\":\"You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\\n\\nYour result will be compared head-to-head with another model. Anyone on the internet can vote, based only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\\n\\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\\n\\nThe final published capture is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. The saved scene is also exported to GLB with geometry, materials, the contestant camera, and supported lights for interactive inspection. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\\n\\n## Harness Instructions\\n\\nYou are operating Blender through the provided tools. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. The saved scene is also exported to GLB with geometry, materials, your camera, and supported lights for interactive inspection. When you are finished, reply with the single word DONE and no tool calls.\"},{\"role\":\"user\",\"content\":\"## Task\\n\\nComplete the following Blender task:\\n\\n<task>\\n\\nAn abandoned village slowly reclaimed by nature. Weathered houses with rusted, corroded metal roofs; overgrown foliage creeping up the walls and through broken windows; moss, grass, and vines spreading across the ground and over the rooftops. Convey age, decay, and the quiet return of the wild.\\n\\n</task>\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_s9v2v9ySjVU6WCYi6Ln00BCX\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, math, random\\\\nfrom mathutils import Vector\\\\nrandom.seed(12)\\\\n# clear\\\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\\\nfor d in (bpy.data.materials, bpy.data.curves, bpy.data.meshes, bpy.data.cameras, bpy.data.lights):\\\\n    pass\\\\n# mats\\\\ndef mat(name,color,rough=0.8,metal=0):\\\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True\\\\n bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal\\\\n return m\\\\nwall=mat('Weathered plaster',(0.27,0.25,0.20)); wall2=mat('Faded ochre plaster',(0.34,0.29,0.20)); wood=mat('Dark rotting timber',(0.12,0.07,0.035)); roof=mat('Rust corroded metal',(0.20,0.075,0.035),.62,.55); roof2=mat('Old blue rust',(0.10,0.13,0.13),.7,.4); dark=mat('Window darkness',(0.012,0.018,0.015)); glass=mat('Broken glass',(0.12,0.22,0.20),.25); moss=mat('Moss',(0.12,0.22,0.07)); vine=mat('Ivy leaves',(0.08,0.18,0.035)); grass=mat('Wild grass',(0.16,0.28,0.06)); earth=mat('Earth',(0.12,0.085,0.045)); stone=mat('Mossy stones',(0.24,0.25,0.18)); leaf=mat('Tree foliage',(0.06,0.15,0.035));\\\\ndef cube(n,loc,scale,ma,bev=0):\\\\n bpy.ops.mesh.primitive_cube_add(location=loc); o=bpy.context.object; o.name=n; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\\\n if bev: mod=o.modifiers.new('soft eroded edges','BEVEL'); mod.width=bev; mod.segments=2\\\\n o.data.materials.append(ma); return o\\\\ndef cyl(n,loc,r,depth,ma,verts=8):\\\\n bpy.ops.mesh.primitive_cylinder_add(vertices=verts,radius=r,depth=depth,location=loc); o=bpy.context.object;o.name=n;o.data.materials.append(ma); return o\\\\ndef uv(n,loc,scale,ma):\\\\n bpy.ops.mesh.primitive_ico_sphere_add(subdivisions=1,radius=1,location=loc);o=bpy.context.object;o.name=n;o.scale=scale;o.data.materials.append(ma);return o\\\\ndef curve(n,pts,bevel,ma):\\\\n cu=bpy.data.curves.new(n,'CURVE');cu.dimensions='3D';cu.bevel_depth=bevel;cu.bevel_resolution=2; sp=cu.splines.new('BEZIER');sp.bezier_points.add(len(pts)-1)\\\\n for p,co in zip(sp.bezier_points,pts): p.co=co;p.handle_left_type='AUTO';p.handle_right_type='AUTO'\\\\n o=bpy.data.objects.new(n,cu);bpy.context.collection.objects.link(o);o.data.materials.append(ma);return o\\\\n# ground\\\\ncube('Earth clearing',(0,0,-0.35),(10,8,.35),earth,.15)\\\\n# cobbled path\\\\nfor i in range(22):\\\\n x=-7+i*.55+random.uniform(-.12,.12); y=-5.8+random.uniform(-.35,.35)\\\\n cube('buried cobble',(x,y,0.05),(0.25+random.random()*.18,.32,.08),stone,.08).rotation_euler[2]=random.uniform(-.3,.3)\\\\n# house function orientation z, dimensions\\\\n\\\\ndef house(name,x,y,w,d,h,ang,ma,roofmat,broken=True):\\\\n # parent empty\\\\n base=cube(name+' walls',(x,y,h/2),(w/2,d/2,h/2),ma,.08); base.rotation_euler[2]=ang\\\\n # roof two slabs pitched along x local, ridge along y\\\\n for side in (-1,1):\\\\n  r=cube(name+' rusted roof',(x+side*0.30*math.cos(ang),y+side*0.30*math.sin(ang),h+0.72),(w*.40,d/2+.22,.10),roofmat,.035)\\\\n  r.rotation_euler[2]=ang; r.rotation_euler[1]=side*math.radians(32)\\\\n # ridge\\\\n ridge=cube(name+' roof ridge',(x,y,h+1.02),(.13,d/2+.3,.13),roofmat,.03); ridge.rotation_euler[2]=ang\\\\n # doors and windows as dark planes placed on front/back using local coords\\\\n # front y local -d/2\\\\n for lx in (-w*.27,w*.27):\\\\n  px=x+lx*math.cos(ang)-(-d/2-.012)*math.sin(ang); py=y+lx*math.sin(ang)+(-d/2-.012)*math.cos(ang)\\\\n  q=cube(name+' broken window',(px,py,h*.56),(w*.13,.025,h*.16),dark,.02);q.rotation_euler[2]=ang\\\\n  # crooked frame\\\\n  for xx in (-w*.13,w*.13):\\\\n   fx=x+(lx+xx)*math.cos(ang)-(-d/2-.045)*math.sin(ang);fy=y+(lx+xx)*math.sin(ang)+(-d/2-.045)*math.cos(ang)\\\\n   f=cube('splintered window frame',(fx,fy,h*.56),(.025,.04,h*.18),wood);f.rotation_euler[2]=ang\\\\n  # cross diagonal broken glass\\\\n  p1=(x+(lx-w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx-w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.48)\\\\n  p2=(x+(lx+w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx+w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.64)\\\\n  curve('cracked window',[p1,p2],.012,glass)\\\\n # door\\\\n px=x- w*.12*math.cos(ang)-(-d/2-.02)*math.sin(ang);py=y-w*.12*math.sin(ang)+(-d/2-.02)*math.cos(ang)\\\\n door=cube(name+' sagging door',(px,py,h*.34),(w*.18,.035,h*.34),wood,.03);door.rotation_euler[2]=ang\\\\n # timber braces on front\\\\n for z in (h*.25,h*.72):\\\\n  b=cube(name+' exposed beam',(x,y-d/2-.06,z), (w/2,.07,.06),wood);b.rotation_euler[2]=ang\\\\n # moss patches along base\\\\n for i in range(7):\\\\n  lx=random.uniform(-w/2,w/2); side=random.choice([-1,1]); px=x+lx*math.cos(ang)-side*d/2*math.sin(ang);py=y+lx*math.sin(ang)+side*d/2*math.cos(ang)\\\\n  uv('moss on wall',(px,py+random.uniform(-.04,.04),random.uniform(.25,.65)),(.18,.06,.13),moss)\\\\n return base\\\\nhouse('North cottage',0,1.9,4.2,3.0,2.8,.08,wall,roof)\\\\nhouse('West cottage',-5,1.0,3.5,2.8,2.5,-.18,wall2,roof2)\\\\nhouse('East cottage',5,2.8,3.3,2.6,2.35,.25,wall,roof)\\\\n# collapsed shed / ruin\\\\ncube('collapsed stone wall',(1.7,-2.0,1.0),(2.0,.28,1.0),stone,.08); cube('fallen roof',(2,-2.0,2.15),(1.8,1.2,.12),roof,.05).rotation_euler[1]=.18\\\\n# roof corrugation bars and rust patches across visible roofs\\\\nfor hx,hy,w,d,h,ang in [(0,1.9,4.2,3,2.8,.08),(-5,1,3.5,2.8,2.5,-.18),(5,2.8,3.3,2.6,2.35,.25)]:\\\\n for side in (-1,1):\\\\n  for j in range(7):\\\\n   ly=-d/2+j*d/6; # local y\\\\n   xx=hx+side*.30*math.cos(ang)-ly*math.sin(ang); yy=hy+side*.30*math.sin(ang)+ly*math.cos(ang)\\\\n   bar=cube('roof corrugation',(xx,yy,h+.72+abs(.30)*.0),(w*.39,.018,.035),roof2 if side<0 else roof,.02);bar.rotation_euler[2]=ang;bar.rotation_euler[1]=side*math.radians(32)\\\\n# vegetation grass clumps\\\\nfor i in range(150):\\\\n x=random.uniform(-9,9); y=random.uniform(-6.5,6.5)\\\\n if random.random()<.55 and y>4: continue\\\\n z=.05\\\\n for k in range(random.randint(2,5)):\\\\n  xx=x+random.uniform(-.18,.18); yy=y+random.uniform(-.18,.18); ht=random.uniform(.18,.55)\\\\n  curve('grass blade',[(xx,yy,z),(xx+random.uniform(-.12,.12),yy, z+ht*.65),(xx+random.uniform(-.18,.18),yy,z+ht)],.018,grass)\\\\n# vines climbing fronts and roof edges\\\\nfor x,y in [(-1.7,.35),(1.5,.35),(-6.3,-.4),(4.1,1.4),(6.1,3.0)]:\\\\n pts=[(x,y-.04,.15),(x+.12,y-.05,.9),(x-.08,y-.03,1.7),(x+.18,y-.05,2.45),(x+.35,y-.1,3.25)]\\\\n curve('climbing vine',pts,.035,vine)\\\\n for p in pts[1:]: uv('ivy leaf',(p[0]+random.uniform(-.12,.12),p[1]-.05,p[2]),(.13,.04,.09),vine)\\\\n# back trees\\\\nfor x,y in [(-8,5.5),(-6,6.2),(7,5.8),(8,3.8)]:\\\\n cyl('dead tree trunk',(x,y,2.0),.22,4,wood,7)\\\\n curve('gnarled branch',[(x,y,3),(x+random.uniform(-1,1),y,4),(x+random.uniform(-1.5,1.5),y,5)],.10,wood)\\\\n for k in range(8): uv('wild tree crown',(x+random.uniform(-1.4,1.4),y+random.uniform(-.4,.5),4.4+random.uniform(-.4,1.2)),(.7,.55,.65),leaf)\\\\n# stones foreground\\\\nfor i in range(24):\\\\n x=random.uniform(-8,8); y=random.uniform(-6,-2); uv('mossy stone',(x,y,.18),(random.uniform(.12,.35),random.uniform(.12,.3),random.uniform(.1,.25)),stone)\\\\n# camera\\\\nbpy.ops.object.camera_add(location=(11,-15,10)); cam=bpy.context.object;cam.name='Presentation Camera';bpy.context.scene.camera=cam\\\\ndef track(obj,pt): obj.rotation_euler=(Vector(pt)-obj.location).to_track_quat('-Z','Y').to_euler()\\\\ntrack(cam,(0,1,1.8));cam.data.lens=48\\\\n# lighting\\\\nbpy.ops.object.light_add(type='AREA', location=(2,-4,11)); key=bpy.context.object;key.name='Soft moonlight';key.data.energy=1500;key.data.shape='DISK';key.data.size=8;track(key,(0,1,0))\\\\nbpy.ops.object.light_add(type='AREA', location=(-8,-3,5)); fill=bpy.context.object;fill.data.energy=700;fill.data.color=(0.32,0.45,0.55);fill.data.size=7;track(fill,(0,1,1))\\\\nbpy.ops.object.light_add(type='POINT', location=(0,-2,3));bpy.context.object.data.energy=180;bpy.context.object.data.color=(1.0,.32,.10)\\\\n# world\\\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World');bpy.context.scene.world=world;world.use_nodes=True;world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\\\nscene=bpy.context.scene;scene.render.engine='BLENDER_EEVEE_NEXT';scene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\\\nscene.view_settings.look='AgX - Medium High Contrast'\\\\n# ground fog-like large plane? no\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('DONE scene',len(bpy.context.scene.objects))\\\",\\\"user_prompt\\\":\\\"Create an abandoned village slowly reclaimed by nature with weathered houses, rusted roofs, broken windows, moss, grass, vines, and a clear presentation render.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_s9v2v9ySjVU6WCYi6Ln00BCX\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \\\"BLENDER_EEVEE_NEXT\\\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')\"}],\"usage\":{\"include\":true},\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"description\":\"Get detailed information about the current Blender scene\\n\\n    Parameters:\\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"user_prompt\"],\"title\":\"get_scene_infoArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_object_info\",\"description\":\"\\n    Get detailed information about a specific object in the Blender scene.\\n\\n    Parameters:\\n    - object_name: The name of the object to get information about\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\"],\"title\":\"get_object_infoArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_viewport_screenshot\",\"description\":\"\\n    Capture a screenshot of the current Blender 3D viewport.\\n\\n    Parameters:\\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns the screenshot as an Image.\\n    \",\"parameters\":{\"properties\":{\"max_size\":{\"default\":1000,\"title\":\"Max Size\",\"type\":\"integer\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_viewport_screenshotArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"description\":\"\\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\\n\\n    Parameters:\\n    - code: The Python code to execute\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"code\":{\"title\":\"Code\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"code\"],\"title\":\"execute_blender_codeArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_categories\",\"description\":\"\\n    Get a list of categories for a specific asset type on Polyhaven.\\n\\n    Parameters:\\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"hdris\",\"title\":\"Asset Type\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_categoriesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_polyhaven_assets\",\"description\":\"\\n    Search for assets on Polyhaven with optional filtering.\\n\\n    Parameters:\\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\\n    - categories: Optional comma-separated list of categories to filter by\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a list of matching assets with basic information.\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"all\",\"title\":\"Asset Type\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"search_polyhaven_assetsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_polyhaven_asset\",\"description\":\"\\n    Download and import a Polyhaven asset into Blender.\\n\\n    Parameters:\\n    - asset_id: The ID of the asset to download\\n    - asset_type: The type of asset (hdris, textures, models)\\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"asset_id\":{\"title\":\"Asset Id\",\"type\":\"string\"},\"asset_type\":{\"title\":\"Asset Type\",\"type\":\"string\"},\"resolution\":{\"default\":\"1k\",\"title\":\"Resolution\",\"type\":\"string\"},\"file_format\":{\"default\":null,\"title\":\"File Format\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"asset_id\",\"asset_type\"],\"title\":\"download_polyhaven_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"set_texture\",\"description\":\"\\n    Apply a previously downloaded Polyhaven texture to an object.\\n    \\n    Parameters:\\n    - object_name: Name of the object to apply the texture to\\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\\n    \\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"texture_id\":{\"title\":\"Texture Id\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\",\"texture_id\"],\"title\":\"set_textureArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_status\",\"description\":\"\\n    Check if PolyHaven integration is enabled in Blender.\\n    Returns a message indicating whether PolyHaven features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hyper3d_status\",\"description\":\"\\n    Check if Hyper3D Rodin integration is enabled in Blender.\\n    Returns a message indicating whether Hyper3D Rodin features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hyper3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_status\",\"description\":\"\\n    Check if Sketchfab integration is enabled in Blender.\\n    Returns a message indicating whether Sketchfab features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_sketchfab_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_sketchfab_models\",\"description\":\"\\n    Search for models on Sketchfab with optional filtering.\\n\\n    Parameters:\\n    - query: Text to search for\\n    - categories: Optional comma-separated list of categories\\n    - count: Maximum number of results to return (default 20)\\n    - downloadable: Whether to include only downloadable models (default True)\\n\\n    Returns a formatted list of matching models.\\n    \",\"parameters\":{\"properties\":{\"query\":{\"title\":\"Query\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"count\":{\"default\":20,\"title\":\"Count\",\"type\":\"integer\"},\"downloadable\":{\"default\":true,\"title\":\"Downloadable\",\"type\":\"boolean\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"query\"],\"title\":\"search_sketchfab_modelsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_model_preview\",\"description\":\"\\n    Get a preview thumbnail of a Sketchfab model by its UID.\\n    Use this to visually confirm a model before downloading.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\\n    \\n    Returns the model's thumbnail as an Image for visual confirmation.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\"],\"title\":\"get_sketchfab_model_previewArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_sketchfab_model\",\"description\":\"\\n    Download and import a Sketchfab model by its UID.\\n    The model will be scaled so its largest dimension equals target_size.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model\\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\\n                  You must specify the desired size for the model.\\n                  Examples:\\n                  - Chair: target_size=1.0 (1 meter tall)\\n                  - Table: target_size=0.75 (75cm tall)\\n                  - Car: target_size=4.5 (4.5 meters long)\\n                  - Person: target_size=1.7 (1.7 meters tall)\\n                  - Small object (cup, phone): target_size=0.1 to 0.3\\n    \\n    Returns a message with import details including object names, dimensions, and bounding box.\\n    The model must be downloadable and you must have proper access rights.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"target_size\":{\"title\":\"Target Size\",\"type\":\"number\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\",\"target_size\"],\"title\":\"download_sketchfab_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_text\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n\\n    Parameters:\\n    - text_prompt: A short description of the desired model in **English**.\\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"title\":\"Text Prompt\",\"type\":\"string\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"text_prompt\"],\"title\":\"generate_hyper3d_model_via_textArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_images\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n    \\n    Parameters:\\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"input_image_paths\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Paths\",\"type\":\"array\"},\"input_image_urls\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Urls\",\"type\":\"array\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hyper3d_model_via_imagesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_rodin_job_status\",\"description\":\"\\n    Check if the Hyper3D Rodin generation task is completed.\\n\\n    For Hyper3D Rodin mode MAIN_SITE:\\n        Parameters:\\n        - subscription_key: The subscription_key given in the generate model step.\\n\\n        Returns a list of status. The task is done if all status are \\\"Done\\\".\\n        If \\\"Failed\\\" showed up, the generating process failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"Done\\\" or \\\"Canceled\\\").\\n\\n    For Hyper3D Rodin mode FAL_AI:\\n        Parameters:\\n        - request_id: The request_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"COMPLETED\\\".\\n        The task is in progress if status is \\\"IN_PROGRESS\\\".\\n        If status other than \\\"COMPLETED\\\", \\\"IN_PROGRESS\\\", \\\"IN_QUEUE\\\" showed up, the generating process might be failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"COMPLETED\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"subscription_key\":{\"default\":null,\"title\":\"Subscription Key\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"title\":\"poll_rodin_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset\",\"description\":\"\\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\\n\\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"task_uuid\":{\"default\":null,\"title\":\"Task Uuid\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"required\":[\"name\"],\"title\":\"import_generated_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hunyuan3d_status\",\"description\":\"\\n    Check if Hunyuan3D integration is enabled in Blender.\\n    Returns a message indicating whether Hunyuan3D features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hunyuan3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hunyuan3d_model\",\"description\":\"\\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \\n    or both for the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    \\n    Parameters:\\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\\n\\n    Returns: \\n    - When successful, returns a JSON with job_id (format: \\\"job_xxx\\\") indicating the task is in progress\\n    - When the job completes, the status will change to \\\"DONE\\\" indicating the model has been imported\\n    - Returns error message if the operation fails\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"default\":null,\"title\":\"Text Prompt\",\"type\":\"string\"},\"input_image_url\":{\"default\":null,\"title\":\"Input Image Url\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hunyuan3d_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_hunyuan_job_status\",\"description\":\"\\n    Check if the Hunyuan3D generation task is completed.\\n\\n    For Hunyuan3D:\\n        Parameters:\\n        - job_id: The job_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"DONE\\\".\\n        The task is in progress if status is \\\"RUN\\\".\\n        If status is \\\"DONE\\\", returns ResultFile3Ds, which is the generated ZIP model path\\n        When the status is \\\"DONE\\\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"DONE\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"job_id\":{\"default\":null,\"title\":\"Job Id\",\"type\":\"string\"}},\"title\":\"poll_hunyuan_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset_hunyuan\",\"description\":\"\\n    Import the asset generated by Hunyuan3D after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - zip_file_url: The zip_file_url given in the generate model step.\\n\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"zip_file_url\":{\"title\":\"Zip File Url\",\"type\":\"string\"}},\"required\":[\"name\",\"zip_file_url\"],\"title\":\"import_generated_asset_hunyuanArguments\",\"type\":\"object\"}}}]}", "body_base64": "{"model":"openai/gpt-5.6-luna","messages":[{"role":"system","content":"You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\n\nYour result will be compared head-to-head with another model. Anyone on the internet can vote, based only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\n\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\n\nThe final published capture is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. The saved scene is also exported to GLB with geometry, materials, the contestant camera, and supported lights for interactive inspection. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\n\n## Harness Instructions\n\nYou are operating Blender through the provided tools. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. The saved scene is also exported to GLB with geometry, materials, your camera, and supported lights for interactive inspection. When you are finished, reply with the single word DONE and no tool calls."},{"role":"user","content":"## Task\n\nComplete the following Blender task:\n\n<task>\n\nAn abandoned village slowly reclaimed by nature. Weathered houses with rusted, corroded metal roofs; overgrown foliage creeping up the walls and through broken windows; moss, grass, and vines spreading across the ground and over the rooftops. Convey age, decay, and the quiet return of the wild.\n\n</task>"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_s9v2v9ySjVU6WCYi6Ln00BCX","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, math, random\\nfrom mathutils import Vector\\nrandom.seed(12)\\n# clear\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\nfor d in (bpy.data.materials, bpy.data.curves, bpy.data.meshes, bpy.data.cameras, bpy.data.lights):\\n    pass\\n# mats\\ndef mat(name,color,rough=0.8,metal=0):\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True\\n bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal\\n return m\\nwall=mat('Weathered plaster',(0.27,0.25,0.20)); wall2=mat('Faded ochre plaster',(0.34,0.29,0.20)); wood=mat('Dark rotting timber',(0.12,0.07,0.035)); roof=mat('Rust corroded metal',(0.20,0.075,0.035),.62,.55); roof2=mat('Old blue rust',(0.10,0.13,0.13),.7,.4); dark=mat('Window darkness',(0.012,0.018,0.015)); glass=mat('Broken glass',(0.12,0.22,0.20),.25); moss=mat('Moss',(0.12,0.22,0.07)); vine=mat('Ivy leaves',(0.08,0.18,0.035)); grass=mat('Wild grass',(0.16,0.28,0.06)); earth=mat('Earth',(0.12,0.085,0.045)); stone=mat('Mossy stones',(0.24,0.25,0.18)); leaf=mat('Tree foliage',(0.06,0.15,0.035));\\ndef cube(n,loc,scale,ma,bev=0):\\n bpy.ops.mesh.primitive_cube_add(location=loc); o=bpy.context.object; o.name=n; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\n if bev: mod=o.modifiers.new('soft eroded edges','BEVEL'); mod.width=bev; mod.segments=2\\n o.data.materials.append(ma); return o\\ndef cyl(n,loc,r,depth,ma,verts=8):\\n bpy.ops.mesh.primitive_cylinder_add(vertices=verts,radius=r,depth=depth,location=loc); o=bpy.context.object;o.name=n;o.data.materials.append(ma); return o\\ndef uv(n,loc,scale,ma):\\n bpy.ops.mesh.primitive_ico_sphere_add(subdivisions=1,radius=1,location=loc);o=bpy.context.object;o.name=n;o.scale=scale;o.data.materials.append(ma);return o\\ndef curve(n,pts,bevel,ma):\\n cu=bpy.data.curves.new(n,'CURVE');cu.dimensions='3D';cu.bevel_depth=bevel;cu.bevel_resolution=2; sp=cu.splines.new('BEZIER');sp.bezier_points.add(len(pts)-1)\\n for p,co in zip(sp.bezier_points,pts): p.co=co;p.handle_left_type='AUTO';p.handle_right_type='AUTO'\\n o=bpy.data.objects.new(n,cu);bpy.context.collection.objects.link(o);o.data.materials.append(ma);return o\\n# ground\\ncube('Earth clearing',(0,0,-0.35),(10,8,.35),earth,.15)\\n# cobbled path\\nfor i in range(22):\\n x=-7+i*.55+random.uniform(-.12,.12); y=-5.8+random.uniform(-.35,.35)\\n cube('buried cobble',(x,y,0.05),(0.25+random.random()*.18,.32,.08),stone,.08).rotation_euler[2]=random.uniform(-.3,.3)\\n# house function orientation z, dimensions\\n\\ndef house(name,x,y,w,d,h,ang,ma,roofmat,broken=True):\\n # parent empty\\n base=cube(name+' walls',(x,y,h/2),(w/2,d/2,h/2),ma,.08); base.rotation_euler[2]=ang\\n # roof two slabs pitched along x local, ridge along y\\n for side in (-1,1):\\n  r=cube(name+' rusted roof',(x+side*0.30*math.cos(ang),y+side*0.30*math.sin(ang),h+0.72),(w*.40,d/2+.22,.10),roofmat,.035)\\n  r.rotation_euler[2]=ang; r.rotation_euler[1]=side*math.radians(32)\\n # ridge\\n ridge=cube(name+' roof ridge',(x,y,h+1.02),(.13,d/2+.3,.13),roofmat,.03); ridge.rotation_euler[2]=ang\\n # doors and windows as dark planes placed on front/back using local coords\\n # front y local -d/2\\n for lx in (-w*.27,w*.27):\\n  px=x+lx*math.cos(ang)-(-d/2-.012)*math.sin(ang); py=y+lx*math.sin(ang)+(-d/2-.012)*math.cos(ang)\\n  q=cube(name+' broken window',(px,py,h*.56),(w*.13,.025,h*.16),dark,.02);q.rotation_euler[2]=ang\\n  # crooked frame\\n  for xx in (-w*.13,w*.13):\\n   fx=x+(lx+xx)*math.cos(ang)-(-d/2-.045)*math.sin(ang);fy=y+(lx+xx)*math.sin(ang)+(-d/2-.045)*math.cos(ang)\\n   f=cube('splintered window frame',(fx,fy,h*.56),(.025,.04,h*.18),wood);f.rotation_euler[2]=ang\\n  # cross diagonal broken glass\\n  p1=(x+(lx-w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx-w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.48)\\n  p2=(x+(lx+w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx+w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.64)\\n  curve('cracked window',[p1,p2],.012,glass)\\n # door\\n px=x- w*.12*math.cos(ang)-(-d/2-.02)*math.sin(ang);py=y-w*.12*math.sin(ang)+(-d/2-.02)*math.cos(ang)\\n door=cube(name+' sagging door',(px,py,h*.34),(w*.18,.035,h*.34),wood,.03);door.rotation_euler[2]=ang\\n # timber braces on front\\n for z in (h*.25,h*.72):\\n  b=cube(name+' exposed beam',(x,y-d/2-.06,z), (w/2,.07,.06),wood);b.rotation_euler[2]=ang\\n # moss patches along base\\n for i in range(7):\\n  lx=random.uniform(-w/2,w/2); side=random.choice([-1,1]); px=x+lx*math.cos(ang)-side*d/2*math.sin(ang);py=y+lx*math.sin(ang)+side*d/2*math.cos(ang)\\n  uv('moss on wall',(px,py+random.uniform(-.04,.04),random.uniform(.25,.65)),(.18,.06,.13),moss)\\n return base\\nhouse('North cottage',0,1.9,4.2,3.0,2.8,.08,wall,roof)\\nhouse('West cottage',-5,1.0,3.5,2.8,2.5,-.18,wall2,roof2)\\nhouse('East cottage',5,2.8,3.3,2.6,2.35,.25,wall,roof)\\n# collapsed shed / ruin\\ncube('collapsed stone wall',(1.7,-2.0,1.0),(2.0,.28,1.0),stone,.08); cube('fallen roof',(2,-2.0,2.15),(1.8,1.2,.12),roof,.05).rotation_euler[1]=.18\\n# roof corrugation bars and rust patches across visible roofs\\nfor hx,hy,w,d,h,ang in [(0,1.9,4.2,3,2.8,.08),(-5,1,3.5,2.8,2.5,-.18),(5,2.8,3.3,2.6,2.35,.25)]:\\n for side in (-1,1):\\n  for j in range(7):\\n   ly=-d/2+j*d/6; # local y\\n   xx=hx+side*.30*math.cos(ang)-ly*math.sin(ang); yy=hy+side*.30*math.sin(ang)+ly*math.cos(ang)\\n   bar=cube('roof corrugation',(xx,yy,h+.72+abs(.30)*.0),(w*.39,.018,.035),roof2 if side<0 else roof,.02);bar.rotation_euler[2]=ang;bar.rotation_euler[1]=side*math.radians(32)\\n# vegetation grass clumps\\nfor i in range(150):\\n x=random.uniform(-9,9); y=random.uniform(-6.5,6.5)\\n if random.random()<.55 and y>4: continue\\n z=.05\\n for k in range(random.randint(2,5)):\\n  xx=x+random.uniform(-.18,.18); yy=y+random.uniform(-.18,.18); ht=random.uniform(.18,.55)\\n  curve('grass blade',[(xx,yy,z),(xx+random.uniform(-.12,.12),yy, z+ht*.65),(xx+random.uniform(-.18,.18),yy,z+ht)],.018,grass)\\n# vines climbing fronts and roof edges\\nfor x,y in [(-1.7,.35),(1.5,.35),(-6.3,-.4),(4.1,1.4),(6.1,3.0)]:\\n pts=[(x,y-.04,.15),(x+.12,y-.05,.9),(x-.08,y-.03,1.7),(x+.18,y-.05,2.45),(x+.35,y-.1,3.25)]\\n curve('climbing vine',pts,.035,vine)\\n for p in pts[1:]: uv('ivy leaf',(p[0]+random.uniform(-.12,.12),p[1]-.05,p[2]),(.13,.04,.09),vine)\\n# back trees\\nfor x,y in [(-8,5.5),(-6,6.2),(7,5.8),(8,3.8)]:\\n cyl('dead tree trunk',(x,y,2.0),.22,4,wood,7)\\n curve('gnarled branch',[(x,y,3),(x+random.uniform(-1,1),y,4),(x+random.uniform(-1.5,1.5),y,5)],.10,wood)\\n for k in range(8): uv('wild tree crown',(x+random.uniform(-1.4,1.4),y+random.uniform(-.4,.5),4.4+random.uniform(-.4,1.2)),(.7,.55,.65),leaf)\\n# stones foreground\\nfor i in range(24):\\n x=random.uniform(-8,8); y=random.uniform(-6,-2); uv('mossy stone',(x,y,.18),(random.uniform(.12,.35),random.uniform(.12,.3),random.uniform(.1,.25)),stone)\\n# camera\\nbpy.ops.object.camera_add(location=(11,-15,10)); cam=bpy.context.object;cam.name='Presentation Camera';bpy.context.scene.camera=cam\\ndef track(obj,pt): obj.rotation_euler=(Vector(pt)-obj.location).to_track_quat('-Z','Y').to_euler()\\ntrack(cam,(0,1,1.8));cam.data.lens=48\\n# lighting\\nbpy.ops.object.light_add(type='AREA', location=(2,-4,11)); key=bpy.context.object;key.name='Soft moonlight';key.data.energy=1500;key.data.shape='DISK';key.data.size=8;track(key,(0,1,0))\\nbpy.ops.object.light_add(type='AREA', location=(-8,-3,5)); fill=bpy.context.object;fill.data.energy=700;fill.data.color=(0.32,0.45,0.55);fill.data.size=7;track(fill,(0,1,1))\\nbpy.ops.object.light_add(type='POINT', location=(0,-2,3));bpy.context.object.data.energy=180;bpy.context.object.data.color=(1.0,.32,.10)\\n# world\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World');bpy.context.scene.world=world;world.use_nodes=True;world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nscene=bpy.context.scene;scene.render.engine='BLENDER_EEVEE_NEXT';scene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\n# ground fog-like large plane? no\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('DONE scene',len(bpy.context.scene.objects))\",\"user_prompt\":\"Create an abandoned village slowly reclaimed by nature with weathered houses, rusted roofs, broken windows, moss, grass, vines, and a clear presentation render.\"}"}}]},{"role":"tool","tool_call_id":"call_s9v2v9ySjVU6WCYi6Ln00BCX","content":"Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \"BLENDER_EEVEE_NEXT\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')"}],"usage":{"include":true},"tools":[{"type":"function","function":{"name":"get_scene_info","description":"Get detailed information about the current Blender scene\n\n    Parameters:\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\n    ","parameters":{"properties":{"user_prompt":{"title":"User Prompt","type":"string"}},"required":["user_prompt"],"title":"get_scene_infoArguments","type":"object"}}},{"type":"function","function":{"name":"get_object_info","description":"\n    Get detailed information about a specific object in the Blender scene.\n\n    Parameters:\n    - object_name: The name of the object to get information about\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"object_name":{"title":"Object Name","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["object_name"],"title":"get_object_infoArguments","type":"object"}}},{"type":"function","function":{"name":"get_viewport_screenshot","description":"\n    Capture a screenshot of the current Blender 3D viewport.\n\n    Parameters:\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns the screenshot as an Image.\n    ","parameters":{"properties":{"max_size":{"default":1000,"title":"Max Size","type":"integer"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_viewport_screenshotArguments","type":"object"}}},{"type":"function","function":{"name":"execute_blender_code","description":"\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"code":{"title":"Code","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["code"],"title":"execute_blender_codeArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_categories","description":"\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"asset_type":{"default":"hdris","title":"Asset Type","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_categoriesArguments","type":"object"}}},{"type":"function","function":{"name":"search_polyhaven_assets","description":"\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ","parameters":{"properties":{"asset_type":{"default":"all","title":"Asset Type","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"search_polyhaven_assetsArguments","type":"object"}}},{"type":"function","function":{"name":"download_polyhaven_asset","description":"\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"asset_id":{"title":"Asset Id","type":"string"},"asset_type":{"title":"Asset Type","type":"string"},"resolution":{"default":"1k","title":"Resolution","type":"string"},"file_format":{"default":null,"title":"File Format","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["asset_id","asset_type"],"title":"download_polyhaven_assetArguments","type":"object"}}},{"type":"function","function":{"name":"set_texture","description":"\n    Apply a previously downloaded Polyhaven texture to an object.\n    \n    Parameters:\n    - object_name: Name of the object to apply the texture to\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\n    \n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"object_name":{"title":"Object Name","type":"string"},"texture_id":{"title":"Texture Id","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["object_name","texture_id"],"title":"set_textureArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_status","description":"\n    Check if PolyHaven integration is enabled in Blender.\n    Returns a message indicating whether PolyHaven features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_hyper3d_status","description":"\n    Check if Hyper3D Rodin integration is enabled in Blender.\n    Returns a message indicating whether Hyper3D Rodin features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hyper3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_status","description":"\n    Check if Sketchfab integration is enabled in Blender.\n    Returns a message indicating whether Sketchfab features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_sketchfab_statusArguments","type":"object"}}},{"type":"function","function":{"name":"search_sketchfab_models","description":"\n    Search for models on Sketchfab with optional filtering.\n\n    Parameters:\n    - query: Text to search for\n    - categories: Optional comma-separated list of categories\n    - count: Maximum number of results to return (default 20)\n    - downloadable: Whether to include only downloadable models (default True)\n\n    Returns a formatted list of matching models.\n    ","parameters":{"properties":{"query":{"title":"Query","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"count":{"default":20,"title":"Count","type":"integer"},"downloadable":{"default":true,"title":"Downloadable","type":"boolean"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["query"],"title":"search_sketchfab_modelsArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_model_preview","description":"\n    Get a preview thumbnail of a Sketchfab model by its UID.\n    Use this to visually confirm a model before downloading.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\n    \n    Returns the model's thumbnail as an Image for visual confirmation.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid"],"title":"get_sketchfab_model_previewArguments","type":"object"}}},{"type":"function","function":{"name":"download_sketchfab_model","description":"\n    Download and import a Sketchfab model by its UID.\n    The model will be scaled so its largest dimension equals target_size.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\n                  You must specify the desired size for the model.\n                  Examples:\n                  - Chair: target_size=1.0 (1 meter tall)\n                  - Table: target_size=0.75 (75cm tall)\n                  - Car: target_size=4.5 (4.5 meters long)\n                  - Person: target_size=1.7 (1.7 meters tall)\n                  - Small object (cup, phone): target_size=0.1 to 0.3\n    \n    Returns a message with import details including object names, dimensions, and bounding box.\n    The model must be downloadable and you must have proper access rights.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"target_size":{"title":"Target Size","type":"number"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid","target_size"],"title":"download_sketchfab_modelArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_text","description":"\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n\n    Parameters:\n    - text_prompt: A short description of the desired model in **English**.\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"text_prompt":{"title":"Text Prompt","type":"string"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["text_prompt"],"title":"generate_hyper3d_model_via_textArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_images","description":"\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n    \n    Parameters:\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"input_image_paths":{"default":null,"items":{"type":"string"},"title":"Input Image Paths","type":"array"},"input_image_urls":{"default":null,"items":{"type":"string"},"title":"Input Image Urls","type":"array"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"generate_hyper3d_model_via_imagesArguments","type":"object"}}},{"type":"function","function":{"name":"poll_rodin_job_status","description":"\n    Check if the Hyper3D Rodin generation task is completed.\n\n    For Hyper3D Rodin mode MAIN_SITE:\n        Parameters:\n        - subscription_key: The subscription_key given in the generate model step.\n\n        Returns a list of status. The task is done if all status are \"Done\".\n        If \"Failed\" showed up, the generating process failed.\n        This is a polling API, so only proceed if the status are finally determined (\"Done\" or \"Canceled\").\n\n    For Hyper3D Rodin mode FAL_AI:\n        Parameters:\n        - request_id: The request_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"COMPLETED\".\n        The task is in progress if status is \"IN_PROGRESS\".\n        If status other than \"COMPLETED\", \"IN_PROGRESS\", \"IN_QUEUE\" showed up, the generating process might be failed.\n        This is a polling API, so only proceed if the status are finally determined (\"COMPLETED\" or some failed state).\n    ","parameters":{"properties":{"subscription_key":{"default":null,"title":"Subscription Key","type":"string"},"request_id":{"default":null,"title":"Request Id","type":"string"}},"title":"poll_rodin_job_statusArguments","type":"object"}}},{"type":"function","function":{"name":"import_generated_asset","description":"\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\n\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\n    Return if the asset has been imported successfully.\n    ","parameters":{"properties":{"name":{"title":"Name","type":"string"},"task_uuid":{"default":null,"title":"Task Uuid","type":"string"},"request_id":{"default":null,"title":"Request Id","type":"string"}},"required":["name"],"title":"import_generated_assetArguments","type":"object"}}},{"type":"function","function":{"name":"get_hunyuan3d_status","description":"\n    Check if Hunyuan3D integration is enabled in Blender.\n    Returns a message indicating whether Hunyuan3D features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hunyuan3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hunyuan3d_model","description":"\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \n    or both for the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    \n    Parameters:\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\n\n    Returns: \n    - When successful, returns a JSON with job_id (format: \"job_xxx\") indicating the task is in progress\n    - When the job completes, the status will change to \"DONE\" indicating the model has been imported\n    - Returns error message if the operation fails\n    ","parameters":{"properties":{"text_prompt":{"default":null,"title":"Text Prompt","type":"string"},"input_image_url":{"default":null,"title":"Input Image Url","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"generate_hunyuan3d_modelArguments","type":"object"}}},{"type":"function","function":{"name":"poll_hunyuan_job_status","description":"\n    Check if the Hunyuan3D generation task is completed.\n\n    For Hunyuan3D:\n        Parameters:\n        - job_id: The job_id given in the generate model step.\n\n        Returns the generation task status. 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"error": null}], "response": {"text": null, "tool_calls": [{"id": "call_otbflqLlIn9N1MS321DTkK78", "name": "execute_blender_code", "arguments": {"code": "import bpy\nscene=bpy.context.scene\nscene.render.engine='BLENDER_EEVEE'\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\nscene.view_settings.look='AgX - Medium High Contrast'\nworld=scene.world\nif world:\n world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\nbpy.ops.render.render(write_still=True)\nprint('saved',len(scene.objects))", "user_prompt": "Finish and save the abandoned village scene and render a presentation image."}, "raw_arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\nworld=scene.world\\nif world:\\n world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('saved',len(scene.objects))\",\"user_prompt\":\"Finish and save the abandoned village scene and render a presentation image.\"}", "parse_error": null}], "tokens_in": 6686, "tokens_out": 247, "cost_usd": 0.00593335, "cached_tokens": 3396}, "error": null}
{"ts": "2026-07-15T10:44:01.568485+00:00", "type": "assistant", "text": null, "tool_calls": [{"id": "call_otbflqLlIn9N1MS321DTkK78", "name": "execute_blender_code", "arguments": {"code": "import bpy\nscene=bpy.context.scene\nscene.render.engine='BLENDER_EEVEE'\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\nscene.view_settings.look='AgX - Medium High Contrast'\nworld=scene.world\nif world:\n world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\nbpy.ops.render.render(write_still=True)\nprint('saved',len(scene.objects))", "user_prompt": "Finish and save the abandoned village scene and render a presentation image."}, "raw_arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\nworld=scene.world\\nif world:\\n world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('saved',len(scene.objects))\",\"user_prompt\":\"Finish and save the abandoned village scene and render a presentation image.\"}", "parse_error": null}]}
{"ts": "2026-07-15T10:44:01.568485+00:00", "type": "tool_call", "id": "call_otbflqLlIn9N1MS321DTkK78", "name": "execute_blender_code", "arguments": {"code": "import bpy\nscene=bpy.context.scene\nscene.render.engine='BLENDER_EEVEE'\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\nscene.view_settings.look='AgX - Medium High Contrast'\nworld=scene.world\nif world:\n world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\nbpy.ops.render.render(write_still=True)\nprint('saved',len(scene.objects))", "user_prompt": "Finish and save the abandoned village scene and render a presentation image."}, "raw_arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\nworld=scene.world\\nif world:\\n world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('saved',len(scene.objects))\",\"user_prompt\":\"Finish and save the abandoned village scene and render a presentation image.\"}"}
{"ts": "2026-07-15T10:44:01.693261+00:00", "type": "tool_result", "tool_call_id": "call_otbflqLlIn9N1MS321DTkK78", "name": "execute_blender_code", "text": "Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\apps\\console\\tmp\\abandoned_village.blend@ for writing: No such file or directory\n", "is_error": false, "has_image": false, "image_b64": null}
{"ts": "2026-07-15T10:44:04.887265+00:00", "type": "llm_call", "call_index": 3, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T10:44:01.694260+00:00", "finished_at": "2026-07-15T10:44:04.887265+00:00", "duration_s": 3.187999999994645, "request": {"messages": [{"role": "system", "content": "You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\n\nYour result will be compared head-to-head with another model. Anyone on the internet can vote, based only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\n\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\n\nThe final published capture is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. The saved scene is also exported to GLB with geometry, materials, the contestant camera, and supported lights for interactive inspection. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\n\n## Harness Instructions\n\nYou are operating Blender through the provided tools. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. The saved scene is also exported to GLB with geometry, materials, your camera, and supported lights for interactive inspection. When you are finished, reply with the single word DONE and no tool calls."}, {"role": "user", "content": "## Task\n\nComplete the following Blender task:\n\n<task>\n\nAn abandoned village slowly reclaimed by nature. Weathered houses with rusted, corroded metal roofs; overgrown foliage creeping up the walls and through broken windows; moss, grass, and vines spreading across the ground and over the rooftops. Convey age, decay, and the quiet return of the wild.\n\n</task>"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_s9v2v9ySjVU6WCYi6Ln00BCX", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, math, random\\nfrom mathutils import Vector\\nrandom.seed(12)\\n# clear\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\nfor d in (bpy.data.materials, bpy.data.curves, bpy.data.meshes, bpy.data.cameras, bpy.data.lights):\\n    pass\\n# mats\\ndef mat(name,color,rough=0.8,metal=0):\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True\\n bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal\\n return m\\nwall=mat('Weathered plaster',(0.27,0.25,0.20)); wall2=mat('Faded ochre plaster',(0.34,0.29,0.20)); wood=mat('Dark rotting timber',(0.12,0.07,0.035)); roof=mat('Rust corroded metal',(0.20,0.075,0.035),.62,.55); roof2=mat('Old blue rust',(0.10,0.13,0.13),.7,.4); dark=mat('Window darkness',(0.012,0.018,0.015)); glass=mat('Broken glass',(0.12,0.22,0.20),.25); moss=mat('Moss',(0.12,0.22,0.07)); vine=mat('Ivy leaves',(0.08,0.18,0.035)); grass=mat('Wild grass',(0.16,0.28,0.06)); earth=mat('Earth',(0.12,0.085,0.045)); stone=mat('Mossy stones',(0.24,0.25,0.18)); leaf=mat('Tree foliage',(0.06,0.15,0.035));\\ndef cube(n,loc,scale,ma,bev=0):\\n bpy.ops.mesh.primitive_cube_add(location=loc); o=bpy.context.object; o.name=n; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\n if bev: mod=o.modifiers.new('soft eroded edges','BEVEL'); mod.width=bev; mod.segments=2\\n o.data.materials.append(ma); return o\\ndef cyl(n,loc,r,depth,ma,verts=8):\\n bpy.ops.mesh.primitive_cylinder_add(vertices=verts,radius=r,depth=depth,location=loc); o=bpy.context.object;o.name=n;o.data.materials.append(ma); return o\\ndef uv(n,loc,scale,ma):\\n bpy.ops.mesh.primitive_ico_sphere_add(subdivisions=1,radius=1,location=loc);o=bpy.context.object;o.name=n;o.scale=scale;o.data.materials.append(ma);return o\\ndef curve(n,pts,bevel,ma):\\n cu=bpy.data.curves.new(n,'CURVE');cu.dimensions='3D';cu.bevel_depth=bevel;cu.bevel_resolution=2; sp=cu.splines.new('BEZIER');sp.bezier_points.add(len(pts)-1)\\n for p,co in zip(sp.bezier_points,pts): p.co=co;p.handle_left_type='AUTO';p.handle_right_type='AUTO'\\n o=bpy.data.objects.new(n,cu);bpy.context.collection.objects.link(o);o.data.materials.append(ma);return o\\n# ground\\ncube('Earth clearing',(0,0,-0.35),(10,8,.35),earth,.15)\\n# cobbled path\\nfor i in range(22):\\n x=-7+i*.55+random.uniform(-.12,.12); y=-5.8+random.uniform(-.35,.35)\\n cube('buried cobble',(x,y,0.05),(0.25+random.random()*.18,.32,.08),stone,.08).rotation_euler[2]=random.uniform(-.3,.3)\\n# house function orientation z, dimensions\\n\\ndef house(name,x,y,w,d,h,ang,ma,roofmat,broken=True):\\n # parent empty\\n base=cube(name+' walls',(x,y,h/2),(w/2,d/2,h/2),ma,.08); base.rotation_euler[2]=ang\\n # roof two slabs pitched along x local, ridge along y\\n for side in (-1,1):\\n  r=cube(name+' rusted roof',(x+side*0.30*math.cos(ang),y+side*0.30*math.sin(ang),h+0.72),(w*.40,d/2+.22,.10),roofmat,.035)\\n  r.rotation_euler[2]=ang; r.rotation_euler[1]=side*math.radians(32)\\n # ridge\\n ridge=cube(name+' roof ridge',(x,y,h+1.02),(.13,d/2+.3,.13),roofmat,.03); ridge.rotation_euler[2]=ang\\n # doors and windows as dark planes placed on front/back using local coords\\n # front y local -d/2\\n for lx in (-w*.27,w*.27):\\n  px=x+lx*math.cos(ang)-(-d/2-.012)*math.sin(ang); py=y+lx*math.sin(ang)+(-d/2-.012)*math.cos(ang)\\n  q=cube(name+' broken window',(px,py,h*.56),(w*.13,.025,h*.16),dark,.02);q.rotation_euler[2]=ang\\n  # crooked frame\\n  for xx in (-w*.13,w*.13):\\n   fx=x+(lx+xx)*math.cos(ang)-(-d/2-.045)*math.sin(ang);fy=y+(lx+xx)*math.sin(ang)+(-d/2-.045)*math.cos(ang)\\n   f=cube('splintered window frame',(fx,fy,h*.56),(.025,.04,h*.18),wood);f.rotation_euler[2]=ang\\n  # cross diagonal broken glass\\n  p1=(x+(lx-w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx-w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.48)\\n  p2=(x+(lx+w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx+w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.64)\\n  curve('cracked window',[p1,p2],.012,glass)\\n # door\\n px=x- w*.12*math.cos(ang)-(-d/2-.02)*math.sin(ang);py=y-w*.12*math.sin(ang)+(-d/2-.02)*math.cos(ang)\\n door=cube(name+' sagging door',(px,py,h*.34),(w*.18,.035,h*.34),wood,.03);door.rotation_euler[2]=ang\\n # timber braces on front\\n for z in (h*.25,h*.72):\\n  b=cube(name+' exposed beam',(x,y-d/2-.06,z), (w/2,.07,.06),wood);b.rotation_euler[2]=ang\\n # moss patches along base\\n for i in range(7):\\n  lx=random.uniform(-w/2,w/2); side=random.choice([-1,1]); px=x+lx*math.cos(ang)-side*d/2*math.sin(ang);py=y+lx*math.sin(ang)+side*d/2*math.cos(ang)\\n  uv('moss on wall',(px,py+random.uniform(-.04,.04),random.uniform(.25,.65)),(.18,.06,.13),moss)\\n return base\\nhouse('North cottage',0,1.9,4.2,3.0,2.8,.08,wall,roof)\\nhouse('West cottage',-5,1.0,3.5,2.8,2.5,-.18,wall2,roof2)\\nhouse('East cottage',5,2.8,3.3,2.6,2.35,.25,wall,roof)\\n# collapsed shed / ruin\\ncube('collapsed stone wall',(1.7,-2.0,1.0),(2.0,.28,1.0),stone,.08); cube('fallen roof',(2,-2.0,2.15),(1.8,1.2,.12),roof,.05).rotation_euler[1]=.18\\n# roof corrugation bars and rust patches across visible roofs\\nfor hx,hy,w,d,h,ang in [(0,1.9,4.2,3,2.8,.08),(-5,1,3.5,2.8,2.5,-.18),(5,2.8,3.3,2.6,2.35,.25)]:\\n for side in (-1,1):\\n  for j in range(7):\\n   ly=-d/2+j*d/6; # local y\\n   xx=hx+side*.30*math.cos(ang)-ly*math.sin(ang); yy=hy+side*.30*math.sin(ang)+ly*math.cos(ang)\\n   bar=cube('roof corrugation',(xx,yy,h+.72+abs(.30)*.0),(w*.39,.018,.035),roof2 if side<0 else roof,.02);bar.rotation_euler[2]=ang;bar.rotation_euler[1]=side*math.radians(32)\\n# vegetation grass clumps\\nfor i in range(150):\\n x=random.uniform(-9,9); y=random.uniform(-6.5,6.5)\\n if random.random()<.55 and y>4: continue\\n z=.05\\n for k in range(random.randint(2,5)):\\n  xx=x+random.uniform(-.18,.18); yy=y+random.uniform(-.18,.18); ht=random.uniform(.18,.55)\\n  curve('grass blade',[(xx,yy,z),(xx+random.uniform(-.12,.12),yy, z+ht*.65),(xx+random.uniform(-.18,.18),yy,z+ht)],.018,grass)\\n# vines climbing fronts and roof edges\\nfor x,y in [(-1.7,.35),(1.5,.35),(-6.3,-.4),(4.1,1.4),(6.1,3.0)]:\\n pts=[(x,y-.04,.15),(x+.12,y-.05,.9),(x-.08,y-.03,1.7),(x+.18,y-.05,2.45),(x+.35,y-.1,3.25)]\\n curve('climbing vine',pts,.035,vine)\\n for p in pts[1:]: uv('ivy leaf',(p[0]+random.uniform(-.12,.12),p[1]-.05,p[2]),(.13,.04,.09),vine)\\n# back trees\\nfor x,y in [(-8,5.5),(-6,6.2),(7,5.8),(8,3.8)]:\\n cyl('dead tree trunk',(x,y,2.0),.22,4,wood,7)\\n curve('gnarled branch',[(x,y,3),(x+random.uniform(-1,1),y,4),(x+random.uniform(-1.5,1.5),y,5)],.10,wood)\\n for k in range(8): uv('wild tree crown',(x+random.uniform(-1.4,1.4),y+random.uniform(-.4,.5),4.4+random.uniform(-.4,1.2)),(.7,.55,.65),leaf)\\n# stones foreground\\nfor i in range(24):\\n x=random.uniform(-8,8); y=random.uniform(-6,-2); uv('mossy stone',(x,y,.18),(random.uniform(.12,.35),random.uniform(.12,.3),random.uniform(.1,.25)),stone)\\n# camera\\nbpy.ops.object.camera_add(location=(11,-15,10)); cam=bpy.context.object;cam.name='Presentation Camera';bpy.context.scene.camera=cam\\ndef track(obj,pt): obj.rotation_euler=(Vector(pt)-obj.location).to_track_quat('-Z','Y').to_euler()\\ntrack(cam,(0,1,1.8));cam.data.lens=48\\n# lighting\\nbpy.ops.object.light_add(type='AREA', location=(2,-4,11)); key=bpy.context.object;key.name='Soft moonlight';key.data.energy=1500;key.data.shape='DISK';key.data.size=8;track(key,(0,1,0))\\nbpy.ops.object.light_add(type='AREA', location=(-8,-3,5)); fill=bpy.context.object;fill.data.energy=700;fill.data.color=(0.32,0.45,0.55);fill.data.size=7;track(fill,(0,1,1))\\nbpy.ops.object.light_add(type='POINT', location=(0,-2,3));bpy.context.object.data.energy=180;bpy.context.object.data.color=(1.0,.32,.10)\\n# world\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World');bpy.context.scene.world=world;world.use_nodes=True;world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nscene=bpy.context.scene;scene.render.engine='BLENDER_EEVEE_NEXT';scene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\n# ground fog-like large plane? no\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('DONE scene',len(bpy.context.scene.objects))\",\"user_prompt\":\"Create an abandoned village slowly reclaimed by nature with weathered houses, rusted roofs, broken windows, moss, grass, vines, and a clear presentation render.\"}"}}]}, {"role": "tool", "tool_call_id": "call_s9v2v9ySjVU6WCYi6Ln00BCX", "content": "Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \"BLENDER_EEVEE_NEXT\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_otbflqLlIn9N1MS321DTkK78", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\nworld=scene.world\\nif world:\\n world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('saved',len(scene.objects))\",\"user_prompt\":\"Finish and save the abandoned village scene and render a presentation image.\"}"}}]}, {"role": "tool", "tool_call_id": "call_otbflqLlIn9N1MS321DTkK78", "content": "Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\apps\\console\\tmp\\abandoned_village.blend@ for writing: No such file or directory\n"}], "tools": [{"type": "function", "function": {"name": "get_scene_info", "description": "Get detailed information about the current Blender scene\n\n    Parameters:\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\n    ", "parameters": {"properties": {"user_prompt": {"title": "User Prompt", "type": "string"}}, "required": ["user_prompt"], "title": "get_scene_infoArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_object_info", "description": "\n    Get detailed information about a specific object in the Blender scene.\n\n    Parameters:\n    - object_name: The name of the object to get information about\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"object_name": {"title": "Object Name", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["object_name"], "title": "get_object_infoArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_viewport_screenshot", "description": "\n    Capture a screenshot of the current Blender 3D viewport.\n\n    Parameters:\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns the screenshot as an Image.\n    ", "parameters": {"properties": {"max_size": {"default": 1000, "title": "Max Size", "type": "integer"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_viewport_screenshotArguments", "type": "object"}}}, {"type": "function", "function": {"name": "execute_blender_code", "description": "\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"code": {"title": "Code", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["code"], "title": "execute_blender_codeArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_polyhaven_categories", "description": "\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"asset_type": {"default": "hdris", "title": "Asset Type", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_polyhaven_categoriesArguments", "type": "object"}}}, {"type": "function", "function": {"name": "search_polyhaven_assets", "description": "\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ", "parameters": {"properties": {"asset_type": {"default": "all", "title": "Asset Type", "type": "string"}, "categories": {"default": null, "title": "Categories", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "search_polyhaven_assetsArguments", "type": "object"}}}, {"type": "function", "function": {"name": "download_polyhaven_asset", "description": "\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"asset_id": {"title": "Asset Id", "type": "string"}, "asset_type": {"title": "Asset Type", "type": "string"}, "resolution": {"default": "1k", "title": "Resolution", "type": "string"}, "file_format": {"default": null, "title": "File Format", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["asset_id", "asset_type"], "title": "download_polyhaven_assetArguments", "type": "object"}}}, {"type": "function", "function": {"name": "set_texture", "description": "\n    Apply a previously downloaded Polyhaven texture to an object.\n    \n    Parameters:\n    - object_name: Name of the object to apply the texture to\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\n    \n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"object_name": {"title": "Object Name", "type": "string"}, "texture_id": {"title": "Texture Id", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["object_name", "texture_id"], "title": "set_textureArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_polyhaven_status", "description": "\n    Check if PolyHaven integration is enabled in Blender.\n    Returns a message indicating whether PolyHaven features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_polyhaven_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_hyper3d_status", "description": "\n    Check if Hyper3D Rodin integration is enabled in Blender.\n    Returns a message indicating whether Hyper3D Rodin features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_hyper3d_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_sketchfab_status", "description": "\n    Check if Sketchfab integration is enabled in Blender.\n    Returns a message indicating whether Sketchfab features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_sketchfab_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "search_sketchfab_models", "description": "\n    Search for models on Sketchfab with optional filtering.\n\n    Parameters:\n    - query: Text to search for\n    - categories: Optional comma-separated list of categories\n    - count: Maximum number of results to return (default 20)\n    - downloadable: Whether to include only downloadable models (default True)\n\n    Returns a formatted list of matching models.\n    ", "parameters": {"properties": {"query": {"title": "Query", "type": "string"}, "categories": {"default": null, "title": "Categories", "type": "string"}, "count": {"default": 20, "title": "Count", "type": "integer"}, "downloadable": {"default": true, "title": "Downloadable", "type": "boolean"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["query"], "title": "search_sketchfab_modelsArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_sketchfab_model_preview", "description": "\n    Get a preview thumbnail of a Sketchfab model by its UID.\n    Use this to visually confirm a model before downloading.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\n    \n    Returns the model's thumbnail as an Image for visual confirmation.\n    ", "parameters": {"properties": {"uid": {"title": "Uid", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["uid"], "title": "get_sketchfab_model_previewArguments", "type": "object"}}}, {"type": "function", "function": {"name": "download_sketchfab_model", "description": "\n    Download and import a Sketchfab model by its UID.\n    The model will be scaled so its largest dimension equals target_size.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\n                  You must specify the desired size for the model.\n                  Examples:\n                  - Chair: target_size=1.0 (1 meter tall)\n                  - Table: target_size=0.75 (75cm tall)\n                  - Car: target_size=4.5 (4.5 meters long)\n                  - Person: target_size=1.7 (1.7 meters tall)\n                  - Small object (cup, phone): target_size=0.1 to 0.3\n    \n    Returns a message with import details including object names, dimensions, and bounding box.\n    The model must be downloadable and you must have proper access rights.\n    ", "parameters": {"properties": {"uid": {"title": "Uid", "type": "string"}, "target_size": {"title": "Target Size", "type": "number"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["uid", "target_size"], "title": "download_sketchfab_modelArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hyper3d_model_via_text", "description": "\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n\n    Parameters:\n    - text_prompt: A short description of the desired model in **English**.\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"text_prompt": {"title": "Text Prompt", "type": "string"}, "bbox_condition": {"default": null, "items": {"type": "number"}, "title": "Bbox Condition", "type": "array"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["text_prompt"], "title": "generate_hyper3d_model_via_textArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hyper3d_model_via_images", "description": "\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n    \n    Parameters:\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"input_image_paths": {"default": null, "items": {"type": "string"}, "title": "Input Image Paths", "type": "array"}, "input_image_urls": {"default": null, "items": {"type": "string"}, "title": "Input Image Urls", "type": "array"}, "bbox_condition": {"default": null, "items": {"type": "number"}, "title": "Bbox Condition", "type": "array"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "generate_hyper3d_model_via_imagesArguments", "type": "object"}}}, {"type": "function", "function": {"name": "poll_rodin_job_status", "description": "\n    Check if the Hyper3D Rodin generation task is completed.\n\n    For Hyper3D Rodin mode MAIN_SITE:\n        Parameters:\n        - subscription_key: The subscription_key given in the generate model step.\n\n        Returns a list of status. The task is done if all status are \"Done\".\n        If \"Failed\" showed up, the generating process failed.\n        This is a polling API, so only proceed if the status are finally determined (\"Done\" or \"Canceled\").\n\n    For Hyper3D Rodin mode FAL_AI:\n        Parameters:\n        - request_id: The request_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"COMPLETED\".\n        The task is in progress if status is \"IN_PROGRESS\".\n        If status other than \"COMPLETED\", \"IN_PROGRESS\", \"IN_QUEUE\" showed up, the generating process might be failed.\n        This is a polling API, so only proceed if the status are finally determined (\"COMPLETED\" or some failed state).\n    ", "parameters": {"properties": {"subscription_key": {"default": null, "title": "Subscription Key", "type": "string"}, "request_id": {"default": null, "title": "Request Id", "type": "string"}}, "title": "poll_rodin_job_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "import_generated_asset", "description": "\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\n\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\n    Return if the asset has been imported successfully.\n    ", "parameters": {"properties": {"name": {"title": "Name", "type": "string"}, "task_uuid": {"default": null, "title": "Task Uuid", "type": "string"}, "request_id": {"default": null, "title": "Request Id", "type": "string"}}, "required": ["name"], "title": "import_generated_assetArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_hunyuan3d_status", "description": "\n    Check if Hunyuan3D integration is enabled in Blender.\n    Returns a message indicating whether Hunyuan3D features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_hunyuan3d_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hunyuan3d_model", "description": "\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \n    or both for the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    \n    Parameters:\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\n\n    Returns: \n    - When successful, returns a JSON with job_id (format: \"job_xxx\") indicating the task is in progress\n    - When the job completes, the status will change to \"DONE\" indicating the model has been imported\n    - Returns error message if the operation fails\n    ", "parameters": {"properties": {"text_prompt": {"default": null, "title": "Text Prompt", "type": "string"}, "input_image_url": {"default": null, "title": "Input Image Url", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "generate_hunyuan3d_modelArguments", "type": "object"}}}, {"type": "function", "function": {"name": "poll_hunyuan_job_status", "description": "\n    Check if the Hunyuan3D generation task is completed.\n\n    For Hunyuan3D:\n        Parameters:\n        - job_id: The job_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"DONE\".\n        The task is in progress if status is \"RUN\".\n        If status is \"DONE\", returns ResultFile3Ds, which is the generated ZIP model path\n        When the status is \"DONE\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\n        This is a polling API, so only proceed if the status are finally determined (\"DONE\" or some failed state).\n    ", "parameters": {"properties": {"job_id": {"default": null, "title": "Job Id", "type": "string"}}, "title": "poll_hunyuan_job_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "import_generated_asset_hunyuan", "description": "\n    Import the asset generated by Hunyuan3D after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - zip_file_url: The zip_file_url given in the generate model step.\n\n    Return if the asset has been imported successfully.\n    ", "parameters": {"properties": {"name": {"title": "Name", "type": "string"}, "zip_file_url": {"title": "Zip File Url", "type": "string"}}, "required": ["name", "zip_file_url"], "title": "import_generated_asset_hunyuanArguments", "type": "object"}}}]}, "provider_attempts": [{"provider": "openrouter", "attempt": 1, "started_at": "2026-07-15T10:44:01.694260+00:00", "finished_at": "2026-07-15T10:44:04.886265+00:00", "duration_s": 3.187999999994645, "request": {"method": "POST", "url": "https://openrouter.ai/api/v1/chat/completions", "headers": {"host": "openrouter.ai", "accept": "*/*", "accept-encoding": "gzip, deflate", "connection": "keep-alive", "user-agent": "python-httpx/0.28.1", "authorization": "[REDACTED]", "content-length": "29866", "content-type": "application/json"}, "body": "{\"model\":\"openai/gpt-5.6-luna\",\"messages\":[{\"role\":\"system\",\"content\":\"You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\\n\\nYour result will be compared head-to-head with another model. Anyone on the internet can vote, based only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\\n\\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\\n\\nThe final published capture is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. The saved scene is also exported to GLB with geometry, materials, the contestant camera, and supported lights for interactive inspection. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\\n\\n## Harness Instructions\\n\\nYou are operating Blender through the provided tools. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. The saved scene is also exported to GLB with geometry, materials, your camera, and supported lights for interactive inspection. When you are finished, reply with the single word DONE and no tool calls.\"},{\"role\":\"user\",\"content\":\"## Task\\n\\nComplete the following Blender task:\\n\\n<task>\\n\\nAn abandoned village slowly reclaimed by nature. Weathered houses with rusted, corroded metal roofs; overgrown foliage creeping up the walls and through broken windows; moss, grass, and vines spreading across the ground and over the rooftops. Convey age, decay, and the quiet return of the wild.\\n\\n</task>\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_s9v2v9ySjVU6WCYi6Ln00BCX\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, math, random\\\\nfrom mathutils import Vector\\\\nrandom.seed(12)\\\\n# clear\\\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\\\nfor d in (bpy.data.materials, bpy.data.curves, bpy.data.meshes, bpy.data.cameras, bpy.data.lights):\\\\n    pass\\\\n# mats\\\\ndef mat(name,color,rough=0.8,metal=0):\\\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True\\\\n bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal\\\\n return m\\\\nwall=mat('Weathered plaster',(0.27,0.25,0.20)); wall2=mat('Faded ochre plaster',(0.34,0.29,0.20)); wood=mat('Dark rotting timber',(0.12,0.07,0.035)); roof=mat('Rust corroded metal',(0.20,0.075,0.035),.62,.55); roof2=mat('Old blue rust',(0.10,0.13,0.13),.7,.4); dark=mat('Window darkness',(0.012,0.018,0.015)); glass=mat('Broken glass',(0.12,0.22,0.20),.25); moss=mat('Moss',(0.12,0.22,0.07)); vine=mat('Ivy leaves',(0.08,0.18,0.035)); grass=mat('Wild grass',(0.16,0.28,0.06)); earth=mat('Earth',(0.12,0.085,0.045)); stone=mat('Mossy stones',(0.24,0.25,0.18)); leaf=mat('Tree foliage',(0.06,0.15,0.035));\\\\ndef cube(n,loc,scale,ma,bev=0):\\\\n bpy.ops.mesh.primitive_cube_add(location=loc); o=bpy.context.object; o.name=n; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\\\n if bev: mod=o.modifiers.new('soft eroded edges','BEVEL'); mod.width=bev; mod.segments=2\\\\n o.data.materials.append(ma); return o\\\\ndef cyl(n,loc,r,depth,ma,verts=8):\\\\n bpy.ops.mesh.primitive_cylinder_add(vertices=verts,radius=r,depth=depth,location=loc); o=bpy.context.object;o.name=n;o.data.materials.append(ma); return o\\\\ndef uv(n,loc,scale,ma):\\\\n bpy.ops.mesh.primitive_ico_sphere_add(subdivisions=1,radius=1,location=loc);o=bpy.context.object;o.name=n;o.scale=scale;o.data.materials.append(ma);return o\\\\ndef curve(n,pts,bevel,ma):\\\\n cu=bpy.data.curves.new(n,'CURVE');cu.dimensions='3D';cu.bevel_depth=bevel;cu.bevel_resolution=2; sp=cu.splines.new('BEZIER');sp.bezier_points.add(len(pts)-1)\\\\n for p,co in zip(sp.bezier_points,pts): p.co=co;p.handle_left_type='AUTO';p.handle_right_type='AUTO'\\\\n o=bpy.data.objects.new(n,cu);bpy.context.collection.objects.link(o);o.data.materials.append(ma);return o\\\\n# ground\\\\ncube('Earth clearing',(0,0,-0.35),(10,8,.35),earth,.15)\\\\n# cobbled path\\\\nfor i in range(22):\\\\n x=-7+i*.55+random.uniform(-.12,.12); y=-5.8+random.uniform(-.35,.35)\\\\n cube('buried cobble',(x,y,0.05),(0.25+random.random()*.18,.32,.08),stone,.08).rotation_euler[2]=random.uniform(-.3,.3)\\\\n# house function orientation z, dimensions\\\\n\\\\ndef house(name,x,y,w,d,h,ang,ma,roofmat,broken=True):\\\\n # parent empty\\\\n base=cube(name+' walls',(x,y,h/2),(w/2,d/2,h/2),ma,.08); base.rotation_euler[2]=ang\\\\n # roof two slabs pitched along x local, ridge along y\\\\n for side in (-1,1):\\\\n  r=cube(name+' rusted roof',(x+side*0.30*math.cos(ang),y+side*0.30*math.sin(ang),h+0.72),(w*.40,d/2+.22,.10),roofmat,.035)\\\\n  r.rotation_euler[2]=ang; r.rotation_euler[1]=side*math.radians(32)\\\\n # ridge\\\\n ridge=cube(name+' roof ridge',(x,y,h+1.02),(.13,d/2+.3,.13),roofmat,.03); ridge.rotation_euler[2]=ang\\\\n # doors and windows as dark planes placed on front/back using local coords\\\\n # front y local -d/2\\\\n for lx in (-w*.27,w*.27):\\\\n  px=x+lx*math.cos(ang)-(-d/2-.012)*math.sin(ang); py=y+lx*math.sin(ang)+(-d/2-.012)*math.cos(ang)\\\\n  q=cube(name+' broken window',(px,py,h*.56),(w*.13,.025,h*.16),dark,.02);q.rotation_euler[2]=ang\\\\n  # crooked frame\\\\n  for xx in (-w*.13,w*.13):\\\\n   fx=x+(lx+xx)*math.cos(ang)-(-d/2-.045)*math.sin(ang);fy=y+(lx+xx)*math.sin(ang)+(-d/2-.045)*math.cos(ang)\\\\n   f=cube('splintered window frame',(fx,fy,h*.56),(.025,.04,h*.18),wood);f.rotation_euler[2]=ang\\\\n  # cross diagonal broken glass\\\\n  p1=(x+(lx-w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx-w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.48)\\\\n  p2=(x+(lx+w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx+w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.64)\\\\n  curve('cracked window',[p1,p2],.012,glass)\\\\n # door\\\\n px=x- w*.12*math.cos(ang)-(-d/2-.02)*math.sin(ang);py=y-w*.12*math.sin(ang)+(-d/2-.02)*math.cos(ang)\\\\n door=cube(name+' sagging door',(px,py,h*.34),(w*.18,.035,h*.34),wood,.03);door.rotation_euler[2]=ang\\\\n # timber braces on front\\\\n for z in (h*.25,h*.72):\\\\n  b=cube(name+' exposed beam',(x,y-d/2-.06,z), (w/2,.07,.06),wood);b.rotation_euler[2]=ang\\\\n # moss patches along base\\\\n for i in range(7):\\\\n  lx=random.uniform(-w/2,w/2); side=random.choice([-1,1]); px=x+lx*math.cos(ang)-side*d/2*math.sin(ang);py=y+lx*math.sin(ang)+side*d/2*math.cos(ang)\\\\n  uv('moss on wall',(px,py+random.uniform(-.04,.04),random.uniform(.25,.65)),(.18,.06,.13),moss)\\\\n return base\\\\nhouse('North cottage',0,1.9,4.2,3.0,2.8,.08,wall,roof)\\\\nhouse('West cottage',-5,1.0,3.5,2.8,2.5,-.18,wall2,roof2)\\\\nhouse('East cottage',5,2.8,3.3,2.6,2.35,.25,wall,roof)\\\\n# collapsed shed / ruin\\\\ncube('collapsed stone wall',(1.7,-2.0,1.0),(2.0,.28,1.0),stone,.08); cube('fallen roof',(2,-2.0,2.15),(1.8,1.2,.12),roof,.05).rotation_euler[1]=.18\\\\n# roof corrugation bars and rust patches across visible roofs\\\\nfor hx,hy,w,d,h,ang in [(0,1.9,4.2,3,2.8,.08),(-5,1,3.5,2.8,2.5,-.18),(5,2.8,3.3,2.6,2.35,.25)]:\\\\n for side in (-1,1):\\\\n  for j in range(7):\\\\n   ly=-d/2+j*d/6; # local y\\\\n   xx=hx+side*.30*math.cos(ang)-ly*math.sin(ang); yy=hy+side*.30*math.sin(ang)+ly*math.cos(ang)\\\\n   bar=cube('roof corrugation',(xx,yy,h+.72+abs(.30)*.0),(w*.39,.018,.035),roof2 if side<0 else roof,.02);bar.rotation_euler[2]=ang;bar.rotation_euler[1]=side*math.radians(32)\\\\n# vegetation grass clumps\\\\nfor i in range(150):\\\\n x=random.uniform(-9,9); y=random.uniform(-6.5,6.5)\\\\n if random.random()<.55 and y>4: continue\\\\n z=.05\\\\n for k in range(random.randint(2,5)):\\\\n  xx=x+random.uniform(-.18,.18); yy=y+random.uniform(-.18,.18); ht=random.uniform(.18,.55)\\\\n  curve('grass blade',[(xx,yy,z),(xx+random.uniform(-.12,.12),yy, z+ht*.65),(xx+random.uniform(-.18,.18),yy,z+ht)],.018,grass)\\\\n# vines climbing fronts and roof edges\\\\nfor x,y in [(-1.7,.35),(1.5,.35),(-6.3,-.4),(4.1,1.4),(6.1,3.0)]:\\\\n pts=[(x,y-.04,.15),(x+.12,y-.05,.9),(x-.08,y-.03,1.7),(x+.18,y-.05,2.45),(x+.35,y-.1,3.25)]\\\\n curve('climbing vine',pts,.035,vine)\\\\n for p in pts[1:]: uv('ivy leaf',(p[0]+random.uniform(-.12,.12),p[1]-.05,p[2]),(.13,.04,.09),vine)\\\\n# back trees\\\\nfor x,y in [(-8,5.5),(-6,6.2),(7,5.8),(8,3.8)]:\\\\n cyl('dead tree trunk',(x,y,2.0),.22,4,wood,7)\\\\n curve('gnarled branch',[(x,y,3),(x+random.uniform(-1,1),y,4),(x+random.uniform(-1.5,1.5),y,5)],.10,wood)\\\\n for k in range(8): uv('wild tree crown',(x+random.uniform(-1.4,1.4),y+random.uniform(-.4,.5),4.4+random.uniform(-.4,1.2)),(.7,.55,.65),leaf)\\\\n# stones foreground\\\\nfor i in range(24):\\\\n x=random.uniform(-8,8); y=random.uniform(-6,-2); uv('mossy stone',(x,y,.18),(random.uniform(.12,.35),random.uniform(.12,.3),random.uniform(.1,.25)),stone)\\\\n# camera\\\\nbpy.ops.object.camera_add(location=(11,-15,10)); cam=bpy.context.object;cam.name='Presentation Camera';bpy.context.scene.camera=cam\\\\ndef track(obj,pt): obj.rotation_euler=(Vector(pt)-obj.location).to_track_quat('-Z','Y').to_euler()\\\\ntrack(cam,(0,1,1.8));cam.data.lens=48\\\\n# lighting\\\\nbpy.ops.object.light_add(type='AREA', location=(2,-4,11)); key=bpy.context.object;key.name='Soft moonlight';key.data.energy=1500;key.data.shape='DISK';key.data.size=8;track(key,(0,1,0))\\\\nbpy.ops.object.light_add(type='AREA', location=(-8,-3,5)); fill=bpy.context.object;fill.data.energy=700;fill.data.color=(0.32,0.45,0.55);fill.data.size=7;track(fill,(0,1,1))\\\\nbpy.ops.object.light_add(type='POINT', location=(0,-2,3));bpy.context.object.data.energy=180;bpy.context.object.data.color=(1.0,.32,.10)\\\\n# world\\\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World');bpy.context.scene.world=world;world.use_nodes=True;world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\\\nscene=bpy.context.scene;scene.render.engine='BLENDER_EEVEE_NEXT';scene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\\\nscene.view_settings.look='AgX - Medium High Contrast'\\\\n# ground fog-like large plane? no\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('DONE scene',len(bpy.context.scene.objects))\\\",\\\"user_prompt\\\":\\\"Create an abandoned village slowly reclaimed by nature with weathered houses, rusted roofs, broken windows, moss, grass, vines, and a clear presentation render.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_s9v2v9ySjVU6WCYi6Ln00BCX\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \\\"BLENDER_EEVEE_NEXT\\\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_otbflqLlIn9N1MS321DTkK78\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nscene=bpy.context.scene\\\\nscene.render.engine='BLENDER_EEVEE'\\\\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\\\nscene.view_settings.look='AgX - Medium High Contrast'\\\\nworld=scene.world\\\\nif world:\\\\n world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('saved',len(scene.objects))\\\",\\\"user_prompt\\\":\\\"Finish and save the abandoned village scene and render a presentation image.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_otbflqLlIn9N1MS321DTkK78\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\\\apps\\\\console\\\\tmp\\\\abandoned_village.blend@ for writing: No such file or directory\\n\"}],\"usage\":{\"include\":true},\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"description\":\"Get detailed information about the current Blender scene\\n\\n    Parameters:\\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"user_prompt\"],\"title\":\"get_scene_infoArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_object_info\",\"description\":\"\\n    Get detailed information about a specific object in the Blender scene.\\n\\n    Parameters:\\n    - object_name: The name of the object to get information about\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\"],\"title\":\"get_object_infoArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_viewport_screenshot\",\"description\":\"\\n    Capture a screenshot of the current Blender 3D viewport.\\n\\n    Parameters:\\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns the screenshot as an Image.\\n    \",\"parameters\":{\"properties\":{\"max_size\":{\"default\":1000,\"title\":\"Max Size\",\"type\":\"integer\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_viewport_screenshotArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"description\":\"\\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\\n\\n    Parameters:\\n    - code: The Python code to execute\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"code\":{\"title\":\"Code\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"code\"],\"title\":\"execute_blender_codeArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_categories\",\"description\":\"\\n    Get a list of categories for a specific asset type on Polyhaven.\\n\\n    Parameters:\\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"hdris\",\"title\":\"Asset Type\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_categoriesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_polyhaven_assets\",\"description\":\"\\n    Search for assets on Polyhaven with optional filtering.\\n\\n    Parameters:\\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\\n    - categories: Optional comma-separated list of categories to filter by\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a list of matching assets with basic information.\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"all\",\"title\":\"Asset Type\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"search_polyhaven_assetsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_polyhaven_asset\",\"description\":\"\\n    Download and import a Polyhaven asset into Blender.\\n\\n    Parameters:\\n    - asset_id: The ID of the asset to download\\n    - asset_type: The type of asset (hdris, textures, models)\\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"asset_id\":{\"title\":\"Asset Id\",\"type\":\"string\"},\"asset_type\":{\"title\":\"Asset Type\",\"type\":\"string\"},\"resolution\":{\"default\":\"1k\",\"title\":\"Resolution\",\"type\":\"string\"},\"file_format\":{\"default\":null,\"title\":\"File Format\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"asset_id\",\"asset_type\"],\"title\":\"download_polyhaven_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"set_texture\",\"description\":\"\\n    Apply a previously downloaded Polyhaven texture to an object.\\n    \\n    Parameters:\\n    - object_name: Name of the object to apply the texture to\\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\\n    \\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"texture_id\":{\"title\":\"Texture Id\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\",\"texture_id\"],\"title\":\"set_textureArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_status\",\"description\":\"\\n    Check if PolyHaven integration is enabled in Blender.\\n    Returns a message indicating whether PolyHaven features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hyper3d_status\",\"description\":\"\\n    Check if Hyper3D Rodin integration is enabled in Blender.\\n    Returns a message indicating whether Hyper3D Rodin features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hyper3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_status\",\"description\":\"\\n    Check if Sketchfab integration is enabled in Blender.\\n    Returns a message indicating whether Sketchfab features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_sketchfab_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_sketchfab_models\",\"description\":\"\\n    Search for models on Sketchfab with optional filtering.\\n\\n    Parameters:\\n    - query: Text to search for\\n    - categories: Optional comma-separated list of categories\\n    - count: Maximum number of results to return (default 20)\\n    - downloadable: Whether to include only downloadable models (default True)\\n\\n    Returns a formatted list of matching models.\\n    \",\"parameters\":{\"properties\":{\"query\":{\"title\":\"Query\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"count\":{\"default\":20,\"title\":\"Count\",\"type\":\"integer\"},\"downloadable\":{\"default\":true,\"title\":\"Downloadable\",\"type\":\"boolean\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"query\"],\"title\":\"search_sketchfab_modelsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_model_preview\",\"description\":\"\\n    Get a preview thumbnail of a Sketchfab model by its UID.\\n    Use this to visually confirm a model before downloading.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\\n    \\n    Returns the model's thumbnail as an Image for visual confirmation.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\"],\"title\":\"get_sketchfab_model_previewArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_sketchfab_model\",\"description\":\"\\n    Download and import a Sketchfab model by its UID.\\n    The model will be scaled so its largest dimension equals target_size.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model\\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\\n                  You must specify the desired size for the model.\\n                  Examples:\\n                  - Chair: target_size=1.0 (1 meter tall)\\n                  - Table: target_size=0.75 (75cm tall)\\n                  - Car: target_size=4.5 (4.5 meters long)\\n                  - Person: target_size=1.7 (1.7 meters tall)\\n                  - Small object (cup, phone): target_size=0.1 to 0.3\\n    \\n    Returns a message with import details including object names, dimensions, and bounding box.\\n    The model must be downloadable and you must have proper access rights.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"target_size\":{\"title\":\"Target Size\",\"type\":\"number\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\",\"target_size\"],\"title\":\"download_sketchfab_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_text\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n\\n    Parameters:\\n    - text_prompt: A short description of the desired model in **English**.\\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"title\":\"Text Prompt\",\"type\":\"string\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"text_prompt\"],\"title\":\"generate_hyper3d_model_via_textArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_images\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n    \\n    Parameters:\\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"input_image_paths\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Paths\",\"type\":\"array\"},\"input_image_urls\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Urls\",\"type\":\"array\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hyper3d_model_via_imagesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_rodin_job_status\",\"description\":\"\\n    Check if the Hyper3D Rodin generation task is completed.\\n\\n    For Hyper3D Rodin mode MAIN_SITE:\\n        Parameters:\\n        - subscription_key: The subscription_key given in the generate model step.\\n\\n        Returns a list of status. The task is done if all status are \\\"Done\\\".\\n        If \\\"Failed\\\" showed up, the generating process failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"Done\\\" or \\\"Canceled\\\").\\n\\n    For Hyper3D Rodin mode FAL_AI:\\n        Parameters:\\n        - request_id: The request_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"COMPLETED\\\".\\n        The task is in progress if status is \\\"IN_PROGRESS\\\".\\n        If status other than \\\"COMPLETED\\\", \\\"IN_PROGRESS\\\", \\\"IN_QUEUE\\\" showed up, the generating process might be failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"COMPLETED\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"subscription_key\":{\"default\":null,\"title\":\"Subscription Key\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"title\":\"poll_rodin_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset\",\"description\":\"\\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\\n\\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"task_uuid\":{\"default\":null,\"title\":\"Task Uuid\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"required\":[\"name\"],\"title\":\"import_generated_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hunyuan3d_status\",\"description\":\"\\n    Check if Hunyuan3D integration is enabled in Blender.\\n    Returns a message indicating whether Hunyuan3D features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hunyuan3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hunyuan3d_model\",\"description\":\"\\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \\n    or both for the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    \\n    Parameters:\\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\\n\\n    Returns: \\n    - When successful, returns a JSON with job_id (format: \\\"job_xxx\\\") indicating the task is in progress\\n    - When the job completes, the status will change to \\\"DONE\\\" indicating the model has been imported\\n    - Returns error message if the operation fails\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"default\":null,\"title\":\"Text Prompt\",\"type\":\"string\"},\"input_image_url\":{\"default\":null,\"title\":\"Input Image Url\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hunyuan3d_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_hunyuan_job_status\",\"description\":\"\\n    Check if the Hunyuan3D generation task is completed.\\n\\n    For Hunyuan3D:\\n        Parameters:\\n        - job_id: The job_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"DONE\\\".\\n        The task is in progress if status is \\\"RUN\\\".\\n        If status is \\\"DONE\\\", returns ResultFile3Ds, which is the generated ZIP model path\\n        When the status is \\\"DONE\\\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"DONE\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"job_id\":{\"default\":null,\"title\":\"Job Id\",\"type\":\"string\"}},\"title\":\"poll_hunyuan_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset_hunyuan\",\"description\":\"\\n    Import the asset generated by Hunyuan3D after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - zip_file_url: The zip_file_url given in the generate model step.\\n\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"zip_file_url\":{\"title\":\"Zip File Url\",\"type\":\"string\"}},\"required\":[\"name\",\"zip_file_url\"],\"title\":\"import_generated_asset_hunyuanArguments\",\"type\":\"object\"}}}]}", "body_base64": "{"model":"openai/gpt-5.6-luna","messages":[{"role":"system","content":"You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\n\nYour result will be compared head-to-head with another model. Anyone on the internet can vote, based only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\n\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\n\nThe final published capture is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. The saved scene is also exported to GLB with geometry, materials, the contestant camera, and supported lights for interactive inspection. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\n\n## Harness Instructions\n\nYou are operating Blender through the provided tools. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. The saved scene is also exported to GLB with geometry, materials, your camera, and supported lights for interactive inspection. When you are finished, reply with the single word DONE and no tool calls."},{"role":"user","content":"## Task\n\nComplete the following Blender task:\n\n<task>\n\nAn abandoned village slowly reclaimed by nature. Weathered houses with rusted, corroded metal roofs; overgrown foliage creeping up the walls and through broken windows; moss, grass, and vines spreading across the ground and over the rooftops. Convey age, decay, and the quiet return of the wild.\n\n</task>"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_s9v2v9ySjVU6WCYi6Ln00BCX","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, math, random\\nfrom mathutils import Vector\\nrandom.seed(12)\\n# clear\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\nfor d in (bpy.data.materials, bpy.data.curves, bpy.data.meshes, bpy.data.cameras, bpy.data.lights):\\n    pass\\n# mats\\ndef mat(name,color,rough=0.8,metal=0):\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True\\n bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal\\n return m\\nwall=mat('Weathered plaster',(0.27,0.25,0.20)); wall2=mat('Faded ochre plaster',(0.34,0.29,0.20)); wood=mat('Dark rotting timber',(0.12,0.07,0.035)); roof=mat('Rust corroded metal',(0.20,0.075,0.035),.62,.55); roof2=mat('Old blue rust',(0.10,0.13,0.13),.7,.4); dark=mat('Window darkness',(0.012,0.018,0.015)); glass=mat('Broken glass',(0.12,0.22,0.20),.25); moss=mat('Moss',(0.12,0.22,0.07)); vine=mat('Ivy leaves',(0.08,0.18,0.035)); grass=mat('Wild grass',(0.16,0.28,0.06)); earth=mat('Earth',(0.12,0.085,0.045)); stone=mat('Mossy stones',(0.24,0.25,0.18)); leaf=mat('Tree foliage',(0.06,0.15,0.035));\\ndef cube(n,loc,scale,ma,bev=0):\\n bpy.ops.mesh.primitive_cube_add(location=loc); o=bpy.context.object; o.name=n; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\n if bev: mod=o.modifiers.new('soft eroded edges','BEVEL'); mod.width=bev; mod.segments=2\\n o.data.materials.append(ma); return o\\ndef cyl(n,loc,r,depth,ma,verts=8):\\n bpy.ops.mesh.primitive_cylinder_add(vertices=verts,radius=r,depth=depth,location=loc); o=bpy.context.object;o.name=n;o.data.materials.append(ma); return o\\ndef uv(n,loc,scale,ma):\\n bpy.ops.mesh.primitive_ico_sphere_add(subdivisions=1,radius=1,location=loc);o=bpy.context.object;o.name=n;o.scale=scale;o.data.materials.append(ma);return o\\ndef curve(n,pts,bevel,ma):\\n cu=bpy.data.curves.new(n,'CURVE');cu.dimensions='3D';cu.bevel_depth=bevel;cu.bevel_resolution=2; sp=cu.splines.new('BEZIER');sp.bezier_points.add(len(pts)-1)\\n for p,co in zip(sp.bezier_points,pts): p.co=co;p.handle_left_type='AUTO';p.handle_right_type='AUTO'\\n o=bpy.data.objects.new(n,cu);bpy.context.collection.objects.link(o);o.data.materials.append(ma);return o\\n# ground\\ncube('Earth clearing',(0,0,-0.35),(10,8,.35),earth,.15)\\n# cobbled path\\nfor i in range(22):\\n x=-7+i*.55+random.uniform(-.12,.12); y=-5.8+random.uniform(-.35,.35)\\n cube('buried cobble',(x,y,0.05),(0.25+random.random()*.18,.32,.08),stone,.08).rotation_euler[2]=random.uniform(-.3,.3)\\n# house function orientation z, dimensions\\n\\ndef house(name,x,y,w,d,h,ang,ma,roofmat,broken=True):\\n # parent empty\\n base=cube(name+' walls',(x,y,h/2),(w/2,d/2,h/2),ma,.08); base.rotation_euler[2]=ang\\n # roof two slabs pitched along x local, ridge along y\\n for side in (-1,1):\\n  r=cube(name+' rusted roof',(x+side*0.30*math.cos(ang),y+side*0.30*math.sin(ang),h+0.72),(w*.40,d/2+.22,.10),roofmat,.035)\\n  r.rotation_euler[2]=ang; r.rotation_euler[1]=side*math.radians(32)\\n # ridge\\n ridge=cube(name+' roof ridge',(x,y,h+1.02),(.13,d/2+.3,.13),roofmat,.03); ridge.rotation_euler[2]=ang\\n # doors and windows as dark planes placed on front/back using local coords\\n # front y local -d/2\\n for lx in (-w*.27,w*.27):\\n  px=x+lx*math.cos(ang)-(-d/2-.012)*math.sin(ang); py=y+lx*math.sin(ang)+(-d/2-.012)*math.cos(ang)\\n  q=cube(name+' broken window',(px,py,h*.56),(w*.13,.025,h*.16),dark,.02);q.rotation_euler[2]=ang\\n  # crooked frame\\n  for xx in (-w*.13,w*.13):\\n   fx=x+(lx+xx)*math.cos(ang)-(-d/2-.045)*math.sin(ang);fy=y+(lx+xx)*math.sin(ang)+(-d/2-.045)*math.cos(ang)\\n   f=cube('splintered window frame',(fx,fy,h*.56),(.025,.04,h*.18),wood);f.rotation_euler[2]=ang\\n  # cross diagonal broken glass\\n  p1=(x+(lx-w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx-w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.48)\\n  p2=(x+(lx+w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx+w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.64)\\n  curve('cracked window',[p1,p2],.012,glass)\\n # door\\n px=x- w*.12*math.cos(ang)-(-d/2-.02)*math.sin(ang);py=y-w*.12*math.sin(ang)+(-d/2-.02)*math.cos(ang)\\n door=cube(name+' sagging door',(px,py,h*.34),(w*.18,.035,h*.34),wood,.03);door.rotation_euler[2]=ang\\n # timber braces on front\\n for z in (h*.25,h*.72):\\n  b=cube(name+' exposed beam',(x,y-d/2-.06,z), (w/2,.07,.06),wood);b.rotation_euler[2]=ang\\n # moss patches along base\\n for i in range(7):\\n  lx=random.uniform(-w/2,w/2); side=random.choice([-1,1]); px=x+lx*math.cos(ang)-side*d/2*math.sin(ang);py=y+lx*math.sin(ang)+side*d/2*math.cos(ang)\\n  uv('moss on wall',(px,py+random.uniform(-.04,.04),random.uniform(.25,.65)),(.18,.06,.13),moss)\\n return base\\nhouse('North cottage',0,1.9,4.2,3.0,2.8,.08,wall,roof)\\nhouse('West cottage',-5,1.0,3.5,2.8,2.5,-.18,wall2,roof2)\\nhouse('East cottage',5,2.8,3.3,2.6,2.35,.25,wall,roof)\\n# collapsed shed / ruin\\ncube('collapsed stone wall',(1.7,-2.0,1.0),(2.0,.28,1.0),stone,.08); cube('fallen roof',(2,-2.0,2.15),(1.8,1.2,.12),roof,.05).rotation_euler[1]=.18\\n# roof corrugation bars and rust patches across visible roofs\\nfor hx,hy,w,d,h,ang in [(0,1.9,4.2,3,2.8,.08),(-5,1,3.5,2.8,2.5,-.18),(5,2.8,3.3,2.6,2.35,.25)]:\\n for side in (-1,1):\\n  for j in range(7):\\n   ly=-d/2+j*d/6; # local y\\n   xx=hx+side*.30*math.cos(ang)-ly*math.sin(ang); yy=hy+side*.30*math.sin(ang)+ly*math.cos(ang)\\n   bar=cube('roof corrugation',(xx,yy,h+.72+abs(.30)*.0),(w*.39,.018,.035),roof2 if side<0 else roof,.02);bar.rotation_euler[2]=ang;bar.rotation_euler[1]=side*math.radians(32)\\n# vegetation grass clumps\\nfor i in range(150):\\n x=random.uniform(-9,9); y=random.uniform(-6.5,6.5)\\n if random.random()<.55 and y>4: continue\\n z=.05\\n for k in range(random.randint(2,5)):\\n  xx=x+random.uniform(-.18,.18); yy=y+random.uniform(-.18,.18); ht=random.uniform(.18,.55)\\n  curve('grass blade',[(xx,yy,z),(xx+random.uniform(-.12,.12),yy, z+ht*.65),(xx+random.uniform(-.18,.18),yy,z+ht)],.018,grass)\\n# vines climbing fronts and roof edges\\nfor x,y in [(-1.7,.35),(1.5,.35),(-6.3,-.4),(4.1,1.4),(6.1,3.0)]:\\n pts=[(x,y-.04,.15),(x+.12,y-.05,.9),(x-.08,y-.03,1.7),(x+.18,y-.05,2.45),(x+.35,y-.1,3.25)]\\n curve('climbing vine',pts,.035,vine)\\n for p in pts[1:]: uv('ivy leaf',(p[0]+random.uniform(-.12,.12),p[1]-.05,p[2]),(.13,.04,.09),vine)\\n# back trees\\nfor x,y in [(-8,5.5),(-6,6.2),(7,5.8),(8,3.8)]:\\n cyl('dead tree trunk',(x,y,2.0),.22,4,wood,7)\\n curve('gnarled branch',[(x,y,3),(x+random.uniform(-1,1),y,4),(x+random.uniform(-1.5,1.5),y,5)],.10,wood)\\n for k in range(8): uv('wild tree crown',(x+random.uniform(-1.4,1.4),y+random.uniform(-.4,.5),4.4+random.uniform(-.4,1.2)),(.7,.55,.65),leaf)\\n# stones foreground\\nfor i in range(24):\\n x=random.uniform(-8,8); y=random.uniform(-6,-2); uv('mossy stone',(x,y,.18),(random.uniform(.12,.35),random.uniform(.12,.3),random.uniform(.1,.25)),stone)\\n# camera\\nbpy.ops.object.camera_add(location=(11,-15,10)); cam=bpy.context.object;cam.name='Presentation Camera';bpy.context.scene.camera=cam\\ndef track(obj,pt): obj.rotation_euler=(Vector(pt)-obj.location).to_track_quat('-Z','Y').to_euler()\\ntrack(cam,(0,1,1.8));cam.data.lens=48\\n# lighting\\nbpy.ops.object.light_add(type='AREA', location=(2,-4,11)); key=bpy.context.object;key.name='Soft moonlight';key.data.energy=1500;key.data.shape='DISK';key.data.size=8;track(key,(0,1,0))\\nbpy.ops.object.light_add(type='AREA', location=(-8,-3,5)); fill=bpy.context.object;fill.data.energy=700;fill.data.color=(0.32,0.45,0.55);fill.data.size=7;track(fill,(0,1,1))\\nbpy.ops.object.light_add(type='POINT', location=(0,-2,3));bpy.context.object.data.energy=180;bpy.context.object.data.color=(1.0,.32,.10)\\n# world\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World');bpy.context.scene.world=world;world.use_nodes=True;world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nscene=bpy.context.scene;scene.render.engine='BLENDER_EEVEE_NEXT';scene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\n# ground fog-like large plane? no\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('DONE scene',len(bpy.context.scene.objects))\",\"user_prompt\":\"Create an abandoned village slowly reclaimed by nature with weathered houses, rusted roofs, broken windows, moss, grass, vines, and a clear presentation render.\"}"}}]},{"role":"tool","tool_call_id":"call_s9v2v9ySjVU6WCYi6Ln00BCX","content":"Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \"BLENDER_EEVEE_NEXT\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_otbflqLlIn9N1MS321DTkK78","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\nworld=scene.world\\nif world:\\n world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('saved',len(scene.objects))\",\"user_prompt\":\"Finish and save the abandoned village scene and render a presentation image.\"}"}}]},{"role":"tool","tool_call_id":"call_otbflqLlIn9N1MS321DTkK78","content":"Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file C:\\Users\\gruku\\Files\\Projects\\Blender-Bench\\apps\\console\\tmp\\abandoned_village.blend@ for writing: No such file or directory\n"}],"usage":{"include":true},"tools":[{"type":"function","function":{"name":"get_scene_info","description":"Get detailed information about the current Blender scene\n\n    Parameters:\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\n    ","parameters":{"properties":{"user_prompt":{"title":"User Prompt","type":"string"}},"required":["user_prompt"],"title":"get_scene_infoArguments","type":"object"}}},{"type":"function","function":{"name":"get_object_info","description":"\n    Get detailed information about a specific object in the Blender scene.\n\n    Parameters:\n    - object_name: The name of the object to get information about\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"object_name":{"title":"Object Name","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["object_name"],"title":"get_object_infoArguments","type":"object"}}},{"type":"function","function":{"name":"get_viewport_screenshot","description":"\n    Capture a screenshot of the current Blender 3D viewport.\n\n    Parameters:\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns the screenshot as an Image.\n    ","parameters":{"properties":{"max_size":{"default":1000,"title":"Max Size","type":"integer"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_viewport_screenshotArguments","type":"object"}}},{"type":"function","function":{"name":"execute_blender_code","description":"\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"code":{"title":"Code","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["code"],"title":"execute_blender_codeArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_categories","description":"\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"asset_type":{"default":"hdris","title":"Asset Type","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_categoriesArguments","type":"object"}}},{"type":"function","function":{"name":"search_polyhaven_assets","description":"\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ","parameters":{"properties":{"asset_type":{"default":"all","title":"Asset Type","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"search_polyhaven_assetsArguments","type":"object"}}},{"type":"function","function":{"name":"download_polyhaven_asset","description":"\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; 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"error": null}], "response": {"text": null, "tool_calls": [{"id": "call_7E6RB6C3zV0Ohab0XexavM4e", "name": "execute_blender_code", "arguments": {"code": "import bpy\nscene=bpy.context.scene\nscene.render.engine='BLENDER_EEVEE'\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\nscene.render.image_settings.file_format='PNG';scene.render.filepath='//abandoned_village.png'\nscene.view_settings.look='AgX - Medium High Contrast'\nif scene.world:\n scene.world.use_nodes=True; scene.world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); scene.world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\nbpy.ops.wm.save_as_mainfile(filepath='//abandoned_village.blend')\nbpy.ops.render.render(write_still=True)\nprint('saved',len(scene.objects))", "user_prompt": "Finish and save the abandoned village scene and render a presentation image."}, "raw_arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='//abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\nif scene.world:\\n scene.world.use_nodes=True; scene.world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); scene.world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nbpy.ops.wm.save_as_mainfile(filepath='//abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('saved',len(scene.objects))\",\"user_prompt\":\"Finish and save the abandoned village scene and render a presentation image.\"}", "parse_error": null}], "tokens_in": 6969, "tokens_out": 240, "cost_usd": 0.00246505, "cached_tokens": 6683}, "error": null}
{"ts": "2026-07-15T10:44:04.888772+00:00", "type": "assistant", "text": null, "tool_calls": [{"id": "call_7E6RB6C3zV0Ohab0XexavM4e", "name": "execute_blender_code", "arguments": {"code": "import bpy\nscene=bpy.context.scene\nscene.render.engine='BLENDER_EEVEE'\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\nscene.render.image_settings.file_format='PNG';scene.render.filepath='//abandoned_village.png'\nscene.view_settings.look='AgX - Medium High Contrast'\nif scene.world:\n scene.world.use_nodes=True; scene.world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); scene.world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\nbpy.ops.wm.save_as_mainfile(filepath='//abandoned_village.blend')\nbpy.ops.render.render(write_still=True)\nprint('saved',len(scene.objects))", "user_prompt": "Finish and save the abandoned village scene and render a presentation image."}, "raw_arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='//abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\nif scene.world:\\n scene.world.use_nodes=True; scene.world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); scene.world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nbpy.ops.wm.save_as_mainfile(filepath='//abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('saved',len(scene.objects))\",\"user_prompt\":\"Finish and save the abandoned village scene and render a presentation image.\"}", "parse_error": null}]}
{"ts": "2026-07-15T10:44:04.888772+00:00", "type": "tool_call", "id": "call_7E6RB6C3zV0Ohab0XexavM4e", "name": "execute_blender_code", "arguments": {"code": "import bpy\nscene=bpy.context.scene\nscene.render.engine='BLENDER_EEVEE'\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\nscene.render.image_settings.file_format='PNG';scene.render.filepath='//abandoned_village.png'\nscene.view_settings.look='AgX - Medium High Contrast'\nif scene.world:\n scene.world.use_nodes=True; scene.world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); scene.world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\nbpy.ops.wm.save_as_mainfile(filepath='//abandoned_village.blend')\nbpy.ops.render.render(write_still=True)\nprint('saved',len(scene.objects))", "user_prompt": "Finish and save the abandoned village scene and render a presentation image."}, "raw_arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='//abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\nif scene.world:\\n scene.world.use_nodes=True; scene.world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); scene.world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nbpy.ops.wm.save_as_mainfile(filepath='//abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('saved',len(scene.objects))\",\"user_prompt\":\"Finish and save the abandoned village scene and render a presentation image.\"}"}
{"ts": "2026-07-15T10:44:06.114216+00:00", "type": "tool_result", "tool_call_id": "call_7E6RB6C3zV0Ohab0XexavM4e", "name": "execute_blender_code", "text": "Code executed successfully: Info: Saved as \"abandoned_village.blend\"\nsaved 715\n", "is_error": false, "has_image": false, "image_b64": null}
{"ts": "2026-07-15T10:44:07.816575+00:00", "type": "llm_call", "call_index": 4, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T10:44:06.115342+00:00", "finished_at": "2026-07-15T10:44:07.816575+00:00", "duration_s": 1.7030000000086147, "request": {"messages": [{"role": "system", "content": "You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\n\nYour result will be compared head-to-head with another model. Anyone on the internet can vote, based only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\n\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\n\nThe final published capture is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. The saved scene is also exported to GLB with geometry, materials, the contestant camera, and supported lights for interactive inspection. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\n\n## Harness Instructions\n\nYou are operating Blender through the provided tools. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. The saved scene is also exported to GLB with geometry, materials, your camera, and supported lights for interactive inspection. When you are finished, reply with the single word DONE and no tool calls."}, {"role": "user", "content": "## Task\n\nComplete the following Blender task:\n\n<task>\n\nAn abandoned village slowly reclaimed by nature. Weathered houses with rusted, corroded metal roofs; overgrown foliage creeping up the walls and through broken windows; moss, grass, and vines spreading across the ground and over the rooftops. Convey age, decay, and the quiet return of the wild.\n\n</task>"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_s9v2v9ySjVU6WCYi6Ln00BCX", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, math, random\\nfrom mathutils import Vector\\nrandom.seed(12)\\n# clear\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\nfor d in (bpy.data.materials, bpy.data.curves, bpy.data.meshes, bpy.data.cameras, bpy.data.lights):\\n    pass\\n# mats\\ndef mat(name,color,rough=0.8,metal=0):\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True\\n bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal\\n return m\\nwall=mat('Weathered plaster',(0.27,0.25,0.20)); wall2=mat('Faded ochre plaster',(0.34,0.29,0.20)); wood=mat('Dark rotting timber',(0.12,0.07,0.035)); roof=mat('Rust corroded metal',(0.20,0.075,0.035),.62,.55); roof2=mat('Old blue rust',(0.10,0.13,0.13),.7,.4); dark=mat('Window darkness',(0.012,0.018,0.015)); glass=mat('Broken glass',(0.12,0.22,0.20),.25); moss=mat('Moss',(0.12,0.22,0.07)); vine=mat('Ivy leaves',(0.08,0.18,0.035)); grass=mat('Wild grass',(0.16,0.28,0.06)); earth=mat('Earth',(0.12,0.085,0.045)); stone=mat('Mossy stones',(0.24,0.25,0.18)); leaf=mat('Tree foliage',(0.06,0.15,0.035));\\ndef cube(n,loc,scale,ma,bev=0):\\n bpy.ops.mesh.primitive_cube_add(location=loc); o=bpy.context.object; o.name=n; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\n if bev: mod=o.modifiers.new('soft eroded edges','BEVEL'); mod.width=bev; mod.segments=2\\n o.data.materials.append(ma); return o\\ndef cyl(n,loc,r,depth,ma,verts=8):\\n bpy.ops.mesh.primitive_cylinder_add(vertices=verts,radius=r,depth=depth,location=loc); o=bpy.context.object;o.name=n;o.data.materials.append(ma); return o\\ndef uv(n,loc,scale,ma):\\n bpy.ops.mesh.primitive_ico_sphere_add(subdivisions=1,radius=1,location=loc);o=bpy.context.object;o.name=n;o.scale=scale;o.data.materials.append(ma);return o\\ndef curve(n,pts,bevel,ma):\\n cu=bpy.data.curves.new(n,'CURVE');cu.dimensions='3D';cu.bevel_depth=bevel;cu.bevel_resolution=2; sp=cu.splines.new('BEZIER');sp.bezier_points.add(len(pts)-1)\\n for p,co in zip(sp.bezier_points,pts): p.co=co;p.handle_left_type='AUTO';p.handle_right_type='AUTO'\\n o=bpy.data.objects.new(n,cu);bpy.context.collection.objects.link(o);o.data.materials.append(ma);return o\\n# ground\\ncube('Earth clearing',(0,0,-0.35),(10,8,.35),earth,.15)\\n# cobbled path\\nfor i in range(22):\\n x=-7+i*.55+random.uniform(-.12,.12); y=-5.8+random.uniform(-.35,.35)\\n cube('buried cobble',(x,y,0.05),(0.25+random.random()*.18,.32,.08),stone,.08).rotation_euler[2]=random.uniform(-.3,.3)\\n# house function orientation z, dimensions\\n\\ndef house(name,x,y,w,d,h,ang,ma,roofmat,broken=True):\\n # parent empty\\n base=cube(name+' walls',(x,y,h/2),(w/2,d/2,h/2),ma,.08); base.rotation_euler[2]=ang\\n # roof two slabs pitched along x local, ridge along y\\n for side in (-1,1):\\n  r=cube(name+' rusted roof',(x+side*0.30*math.cos(ang),y+side*0.30*math.sin(ang),h+0.72),(w*.40,d/2+.22,.10),roofmat,.035)\\n  r.rotation_euler[2]=ang; r.rotation_euler[1]=side*math.radians(32)\\n # ridge\\n ridge=cube(name+' roof ridge',(x,y,h+1.02),(.13,d/2+.3,.13),roofmat,.03); ridge.rotation_euler[2]=ang\\n # doors and windows as dark planes placed on front/back using local coords\\n # front y local -d/2\\n for lx in (-w*.27,w*.27):\\n  px=x+lx*math.cos(ang)-(-d/2-.012)*math.sin(ang); py=y+lx*math.sin(ang)+(-d/2-.012)*math.cos(ang)\\n  q=cube(name+' broken window',(px,py,h*.56),(w*.13,.025,h*.16),dark,.02);q.rotation_euler[2]=ang\\n  # crooked frame\\n  for xx in (-w*.13,w*.13):\\n   fx=x+(lx+xx)*math.cos(ang)-(-d/2-.045)*math.sin(ang);fy=y+(lx+xx)*math.sin(ang)+(-d/2-.045)*math.cos(ang)\\n   f=cube('splintered window frame',(fx,fy,h*.56),(.025,.04,h*.18),wood);f.rotation_euler[2]=ang\\n  # cross diagonal broken glass\\n  p1=(x+(lx-w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx-w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.48)\\n  p2=(x+(lx+w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx+w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.64)\\n  curve('cracked window',[p1,p2],.012,glass)\\n # door\\n px=x- w*.12*math.cos(ang)-(-d/2-.02)*math.sin(ang);py=y-w*.12*math.sin(ang)+(-d/2-.02)*math.cos(ang)\\n door=cube(name+' sagging door',(px,py,h*.34),(w*.18,.035,h*.34),wood,.03);door.rotation_euler[2]=ang\\n # timber braces on front\\n for z in (h*.25,h*.72):\\n  b=cube(name+' exposed beam',(x,y-d/2-.06,z), (w/2,.07,.06),wood);b.rotation_euler[2]=ang\\n # moss patches along base\\n for i in range(7):\\n  lx=random.uniform(-w/2,w/2); side=random.choice([-1,1]); px=x+lx*math.cos(ang)-side*d/2*math.sin(ang);py=y+lx*math.sin(ang)+side*d/2*math.cos(ang)\\n  uv('moss on wall',(px,py+random.uniform(-.04,.04),random.uniform(.25,.65)),(.18,.06,.13),moss)\\n return base\\nhouse('North cottage',0,1.9,4.2,3.0,2.8,.08,wall,roof)\\nhouse('West cottage',-5,1.0,3.5,2.8,2.5,-.18,wall2,roof2)\\nhouse('East cottage',5,2.8,3.3,2.6,2.35,.25,wall,roof)\\n# collapsed shed / ruin\\ncube('collapsed stone wall',(1.7,-2.0,1.0),(2.0,.28,1.0),stone,.08); cube('fallen roof',(2,-2.0,2.15),(1.8,1.2,.12),roof,.05).rotation_euler[1]=.18\\n# roof corrugation bars and rust patches across visible roofs\\nfor hx,hy,w,d,h,ang in [(0,1.9,4.2,3,2.8,.08),(-5,1,3.5,2.8,2.5,-.18),(5,2.8,3.3,2.6,2.35,.25)]:\\n for side in (-1,1):\\n  for j in range(7):\\n   ly=-d/2+j*d/6; # local y\\n   xx=hx+side*.30*math.cos(ang)-ly*math.sin(ang); yy=hy+side*.30*math.sin(ang)+ly*math.cos(ang)\\n   bar=cube('roof corrugation',(xx,yy,h+.72+abs(.30)*.0),(w*.39,.018,.035),roof2 if side<0 else roof,.02);bar.rotation_euler[2]=ang;bar.rotation_euler[1]=side*math.radians(32)\\n# vegetation grass clumps\\nfor i in range(150):\\n x=random.uniform(-9,9); y=random.uniform(-6.5,6.5)\\n if random.random()<.55 and y>4: continue\\n z=.05\\n for k in range(random.randint(2,5)):\\n  xx=x+random.uniform(-.18,.18); yy=y+random.uniform(-.18,.18); ht=random.uniform(.18,.55)\\n  curve('grass blade',[(xx,yy,z),(xx+random.uniform(-.12,.12),yy, z+ht*.65),(xx+random.uniform(-.18,.18),yy,z+ht)],.018,grass)\\n# vines climbing fronts and roof edges\\nfor x,y in [(-1.7,.35),(1.5,.35),(-6.3,-.4),(4.1,1.4),(6.1,3.0)]:\\n pts=[(x,y-.04,.15),(x+.12,y-.05,.9),(x-.08,y-.03,1.7),(x+.18,y-.05,2.45),(x+.35,y-.1,3.25)]\\n curve('climbing vine',pts,.035,vine)\\n for p in pts[1:]: uv('ivy leaf',(p[0]+random.uniform(-.12,.12),p[1]-.05,p[2]),(.13,.04,.09),vine)\\n# back trees\\nfor x,y in [(-8,5.5),(-6,6.2),(7,5.8),(8,3.8)]:\\n cyl('dead tree trunk',(x,y,2.0),.22,4,wood,7)\\n curve('gnarled branch',[(x,y,3),(x+random.uniform(-1,1),y,4),(x+random.uniform(-1.5,1.5),y,5)],.10,wood)\\n for k in range(8): uv('wild tree crown',(x+random.uniform(-1.4,1.4),y+random.uniform(-.4,.5),4.4+random.uniform(-.4,1.2)),(.7,.55,.65),leaf)\\n# stones foreground\\nfor i in range(24):\\n x=random.uniform(-8,8); y=random.uniform(-6,-2); uv('mossy stone',(x,y,.18),(random.uniform(.12,.35),random.uniform(.12,.3),random.uniform(.1,.25)),stone)\\n# camera\\nbpy.ops.object.camera_add(location=(11,-15,10)); cam=bpy.context.object;cam.name='Presentation Camera';bpy.context.scene.camera=cam\\ndef track(obj,pt): obj.rotation_euler=(Vector(pt)-obj.location).to_track_quat('-Z','Y').to_euler()\\ntrack(cam,(0,1,1.8));cam.data.lens=48\\n# lighting\\nbpy.ops.object.light_add(type='AREA', location=(2,-4,11)); key=bpy.context.object;key.name='Soft moonlight';key.data.energy=1500;key.data.shape='DISK';key.data.size=8;track(key,(0,1,0))\\nbpy.ops.object.light_add(type='AREA', location=(-8,-3,5)); fill=bpy.context.object;fill.data.energy=700;fill.data.color=(0.32,0.45,0.55);fill.data.size=7;track(fill,(0,1,1))\\nbpy.ops.object.light_add(type='POINT', location=(0,-2,3));bpy.context.object.data.energy=180;bpy.context.object.data.color=(1.0,.32,.10)\\n# world\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World');bpy.context.scene.world=world;world.use_nodes=True;world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nscene=bpy.context.scene;scene.render.engine='BLENDER_EEVEE_NEXT';scene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\n# ground fog-like large plane? no\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('DONE scene',len(bpy.context.scene.objects))\",\"user_prompt\":\"Create an abandoned village slowly reclaimed by nature with weathered houses, rusted roofs, broken windows, moss, grass, vines, and a clear presentation render.\"}"}}]}, {"role": "tool", "tool_call_id": "call_s9v2v9ySjVU6WCYi6Ln00BCX", "content": "Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \"BLENDER_EEVEE_NEXT\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_otbflqLlIn9N1MS321DTkK78", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\nworld=scene.world\\nif world:\\n world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('saved',len(scene.objects))\",\"user_prompt\":\"Finish and save the abandoned village scene and render a presentation image.\"}"}}]}, {"role": "tool", "tool_call_id": "call_otbflqLlIn9N1MS321DTkK78", "content": "Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\apps\\console\\tmp\\abandoned_village.blend@ for writing: No such file or directory\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_7E6RB6C3zV0Ohab0XexavM4e", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='//abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\nif scene.world:\\n scene.world.use_nodes=True; scene.world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); scene.world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nbpy.ops.wm.save_as_mainfile(filepath='//abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('saved',len(scene.objects))\",\"user_prompt\":\"Finish and save the abandoned village scene and render a presentation image.\"}"}}]}, {"role": "tool", "tool_call_id": "call_7E6RB6C3zV0Ohab0XexavM4e", "content": "Code executed successfully: Info: Saved as \"abandoned_village.blend\"\nsaved 715\n"}], "tools": [{"type": "function", "function": {"name": "get_scene_info", "description": "Get detailed information about the current Blender scene\n\n    Parameters:\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\n    ", "parameters": {"properties": {"user_prompt": {"title": "User Prompt", "type": "string"}}, "required": ["user_prompt"], "title": "get_scene_infoArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_object_info", "description": "\n    Get detailed information about a specific object in the Blender scene.\n\n    Parameters:\n    - object_name: The name of the object to get information about\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"object_name": {"title": "Object Name", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["object_name"], "title": "get_object_infoArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_viewport_screenshot", "description": "\n    Capture a screenshot of the current Blender 3D viewport.\n\n    Parameters:\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns the screenshot as an Image.\n    ", "parameters": {"properties": {"max_size": {"default": 1000, "title": "Max Size", "type": "integer"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_viewport_screenshotArguments", "type": "object"}}}, {"type": "function", "function": {"name": "execute_blender_code", "description": "\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"code": {"title": "Code", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["code"], "title": "execute_blender_codeArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_polyhaven_categories", "description": "\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"asset_type": {"default": "hdris", "title": "Asset Type", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_polyhaven_categoriesArguments", "type": "object"}}}, {"type": "function", "function": {"name": "search_polyhaven_assets", "description": "\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ", "parameters": {"properties": {"asset_type": {"default": "all", "title": "Asset Type", "type": "string"}, "categories": {"default": null, "title": "Categories", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "search_polyhaven_assetsArguments", "type": "object"}}}, {"type": "function", "function": {"name": "download_polyhaven_asset", "description": "\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"asset_id": {"title": "Asset Id", "type": "string"}, "asset_type": {"title": "Asset Type", "type": "string"}, "resolution": {"default": "1k", "title": "Resolution", "type": "string"}, "file_format": {"default": null, "title": "File Format", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["asset_id", "asset_type"], "title": "download_polyhaven_assetArguments", "type": "object"}}}, {"type": "function", "function": {"name": "set_texture", "description": "\n    Apply a previously downloaded Polyhaven texture to an object.\n    \n    Parameters:\n    - object_name: Name of the object to apply the texture to\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\n    \n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"object_name": {"title": "Object Name", "type": "string"}, "texture_id": {"title": "Texture Id", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["object_name", "texture_id"], "title": "set_textureArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_polyhaven_status", "description": "\n    Check if PolyHaven integration is enabled in Blender.\n    Returns a message indicating whether PolyHaven features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_polyhaven_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_hyper3d_status", "description": "\n    Check if Hyper3D Rodin integration is enabled in Blender.\n    Returns a message indicating whether Hyper3D Rodin features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_hyper3d_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_sketchfab_status", "description": "\n    Check if Sketchfab integration is enabled in Blender.\n    Returns a message indicating whether Sketchfab features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_sketchfab_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "search_sketchfab_models", "description": "\n    Search for models on Sketchfab with optional filtering.\n\n    Parameters:\n    - query: Text to search for\n    - categories: Optional comma-separated list of categories\n    - count: Maximum number of results to return (default 20)\n    - downloadable: Whether to include only downloadable models (default True)\n\n    Returns a formatted list of matching models.\n    ", "parameters": {"properties": {"query": {"title": "Query", "type": "string"}, "categories": {"default": null, "title": "Categories", "type": "string"}, "count": {"default": 20, "title": "Count", "type": "integer"}, "downloadable": {"default": true, "title": "Downloadable", "type": "boolean"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["query"], "title": "search_sketchfab_modelsArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_sketchfab_model_preview", "description": "\n    Get a preview thumbnail of a Sketchfab model by its UID.\n    Use this to visually confirm a model before downloading.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\n    \n    Returns the model's thumbnail as an Image for visual confirmation.\n    ", "parameters": {"properties": {"uid": {"title": "Uid", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["uid"], "title": "get_sketchfab_model_previewArguments", "type": "object"}}}, {"type": "function", "function": {"name": "download_sketchfab_model", "description": "\n    Download and import a Sketchfab model by its UID.\n    The model will be scaled so its largest dimension equals target_size.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\n                  You must specify the desired size for the model.\n                  Examples:\n                  - Chair: target_size=1.0 (1 meter tall)\n                  - Table: target_size=0.75 (75cm tall)\n                  - Car: target_size=4.5 (4.5 meters long)\n                  - Person: target_size=1.7 (1.7 meters tall)\n                  - Small object (cup, phone): target_size=0.1 to 0.3\n    \n    Returns a message with import details including object names, dimensions, and bounding box.\n    The model must be downloadable and you must have proper access rights.\n    ", "parameters": {"properties": {"uid": {"title": "Uid", "type": "string"}, "target_size": {"title": "Target Size", "type": "number"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["uid", "target_size"], "title": "download_sketchfab_modelArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hyper3d_model_via_text", "description": "\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n\n    Parameters:\n    - text_prompt: A short description of the desired model in **English**.\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"text_prompt": {"title": "Text Prompt", "type": "string"}, "bbox_condition": {"default": null, "items": {"type": "number"}, "title": "Bbox Condition", "type": "array"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["text_prompt"], "title": "generate_hyper3d_model_via_textArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hyper3d_model_via_images", "description": "\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n    \n    Parameters:\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"input_image_paths": {"default": null, "items": {"type": "string"}, "title": "Input Image Paths", "type": "array"}, "input_image_urls": {"default": null, "items": {"type": "string"}, "title": "Input Image Urls", "type": "array"}, "bbox_condition": {"default": null, "items": {"type": "number"}, "title": "Bbox Condition", "type": "array"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "generate_hyper3d_model_via_imagesArguments", "type": "object"}}}, {"type": "function", "function": {"name": "poll_rodin_job_status", "description": "\n    Check if the Hyper3D Rodin generation task is completed.\n\n    For Hyper3D Rodin mode MAIN_SITE:\n        Parameters:\n        - subscription_key: The subscription_key given in the generate model step.\n\n        Returns a list of status. The task is done if all status are \"Done\".\n        If \"Failed\" showed up, the generating process failed.\n        This is a polling API, so only proceed if the status are finally determined (\"Done\" or \"Canceled\").\n\n    For Hyper3D Rodin mode FAL_AI:\n        Parameters:\n        - request_id: The request_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"COMPLETED\".\n        The task is in progress if status is \"IN_PROGRESS\".\n        If status other than \"COMPLETED\", \"IN_PROGRESS\", \"IN_QUEUE\" showed up, the generating process might be failed.\n        This is a polling API, so only proceed if the status are finally determined (\"COMPLETED\" or some failed state).\n    ", "parameters": {"properties": {"subscription_key": {"default": null, "title": "Subscription Key", "type": "string"}, "request_id": {"default": null, "title": "Request Id", "type": "string"}}, "title": "poll_rodin_job_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "import_generated_asset", "description": "\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\n\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\n    Return if the asset has been imported successfully.\n    ", "parameters": {"properties": {"name": {"title": "Name", "type": "string"}, "task_uuid": {"default": null, "title": "Task Uuid", "type": "string"}, "request_id": {"default": null, "title": "Request Id", "type": "string"}}, "required": ["name"], "title": "import_generated_assetArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_hunyuan3d_status", "description": "\n    Check if Hunyuan3D integration is enabled in Blender.\n    Returns a message indicating whether Hunyuan3D features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_hunyuan3d_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hunyuan3d_model", "description": "\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \n    or both for the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    \n    Parameters:\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\n\n    Returns: \n    - When successful, returns a JSON with job_id (format: \"job_xxx\") indicating the task is in progress\n    - When the job completes, the status will change to \"DONE\" indicating the model has been imported\n    - Returns error message if the operation fails\n    ", "parameters": {"properties": {"text_prompt": {"default": null, "title": "Text Prompt", "type": "string"}, "input_image_url": {"default": null, "title": "Input Image Url", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "generate_hunyuan3d_modelArguments", "type": "object"}}}, {"type": "function", "function": {"name": "poll_hunyuan_job_status", "description": "\n    Check if the Hunyuan3D generation task is completed.\n\n    For Hunyuan3D:\n        Parameters:\n        - job_id: The job_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"DONE\".\n        The task is in progress if status is \"RUN\".\n        If status is \"DONE\", returns ResultFile3Ds, which is the generated ZIP model path\n        When the status is \"DONE\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\n        This is a polling API, so only proceed if the status are finally determined (\"DONE\" or some failed state).\n    ", "parameters": {"properties": {"job_id": {"default": null, "title": "Job Id", "type": "string"}}, "title": "poll_hunyuan_job_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "import_generated_asset_hunyuan", "description": "\n    Import the asset generated by Hunyuan3D after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - zip_file_url: The zip_file_url given in the generate model step.\n\n    Return if the asset has been imported successfully.\n    ", "parameters": {"properties": {"name": {"title": "Name", "type": "string"}, "zip_file_url": {"title": "Zip File Url", "type": "string"}}, "required": ["name", "zip_file_url"], "title": "import_generated_asset_hunyuanArguments", "type": "object"}}}]}, "provider_attempts": [{"provider": "openrouter", "attempt": 1, "started_at": "2026-07-15T10:44:06.115342+00:00", "finished_at": "2026-07-15T10:44:07.815574+00:00", "duration_s": 1.7030000000086147, "request": {"method": "POST", "url": "https://openrouter.ai/api/v1/chat/completions", "headers": {"host": "openrouter.ai", "accept": "*/*", "accept-encoding": "gzip, deflate", "connection": "keep-alive", "user-agent": "python-httpx/0.28.1", "authorization": "[REDACTED]", "content-length": "30998", "content-type": "application/json"}, "body": "{\"model\":\"openai/gpt-5.6-luna\",\"messages\":[{\"role\":\"system\",\"content\":\"You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\\n\\nYour result will be compared head-to-head with another model. Anyone on the internet can vote, based only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\\n\\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\\n\\nThe final published capture is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. The saved scene is also exported to GLB with geometry, materials, the contestant camera, and supported lights for interactive inspection. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\\n\\n## Harness Instructions\\n\\nYou are operating Blender through the provided tools. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. The saved scene is also exported to GLB with geometry, materials, your camera, and supported lights for interactive inspection. When you are finished, reply with the single word DONE and no tool calls.\"},{\"role\":\"user\",\"content\":\"## Task\\n\\nComplete the following Blender task:\\n\\n<task>\\n\\nAn abandoned village slowly reclaimed by nature. Weathered houses with rusted, corroded metal roofs; overgrown foliage creeping up the walls and through broken windows; moss, grass, and vines spreading across the ground and over the rooftops. Convey age, decay, and the quiet return of the wild.\\n\\n</task>\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_s9v2v9ySjVU6WCYi6Ln00BCX\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, math, random\\\\nfrom mathutils import Vector\\\\nrandom.seed(12)\\\\n# clear\\\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\\\nfor d in (bpy.data.materials, bpy.data.curves, bpy.data.meshes, bpy.data.cameras, bpy.data.lights):\\\\n    pass\\\\n# mats\\\\ndef mat(name,color,rough=0.8,metal=0):\\\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True\\\\n bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal\\\\n return m\\\\nwall=mat('Weathered plaster',(0.27,0.25,0.20)); wall2=mat('Faded ochre plaster',(0.34,0.29,0.20)); wood=mat('Dark rotting timber',(0.12,0.07,0.035)); roof=mat('Rust corroded metal',(0.20,0.075,0.035),.62,.55); roof2=mat('Old blue rust',(0.10,0.13,0.13),.7,.4); dark=mat('Window darkness',(0.012,0.018,0.015)); glass=mat('Broken glass',(0.12,0.22,0.20),.25); moss=mat('Moss',(0.12,0.22,0.07)); vine=mat('Ivy leaves',(0.08,0.18,0.035)); grass=mat('Wild grass',(0.16,0.28,0.06)); earth=mat('Earth',(0.12,0.085,0.045)); stone=mat('Mossy stones',(0.24,0.25,0.18)); leaf=mat('Tree foliage',(0.06,0.15,0.035));\\\\ndef cube(n,loc,scale,ma,bev=0):\\\\n bpy.ops.mesh.primitive_cube_add(location=loc); o=bpy.context.object; o.name=n; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\\\n if bev: mod=o.modifiers.new('soft eroded edges','BEVEL'); mod.width=bev; mod.segments=2\\\\n o.data.materials.append(ma); return o\\\\ndef cyl(n,loc,r,depth,ma,verts=8):\\\\n bpy.ops.mesh.primitive_cylinder_add(vertices=verts,radius=r,depth=depth,location=loc); o=bpy.context.object;o.name=n;o.data.materials.append(ma); return o\\\\ndef uv(n,loc,scale,ma):\\\\n bpy.ops.mesh.primitive_ico_sphere_add(subdivisions=1,radius=1,location=loc);o=bpy.context.object;o.name=n;o.scale=scale;o.data.materials.append(ma);return o\\\\ndef curve(n,pts,bevel,ma):\\\\n cu=bpy.data.curves.new(n,'CURVE');cu.dimensions='3D';cu.bevel_depth=bevel;cu.bevel_resolution=2; sp=cu.splines.new('BEZIER');sp.bezier_points.add(len(pts)-1)\\\\n for p,co in zip(sp.bezier_points,pts): p.co=co;p.handle_left_type='AUTO';p.handle_right_type='AUTO'\\\\n o=bpy.data.objects.new(n,cu);bpy.context.collection.objects.link(o);o.data.materials.append(ma);return o\\\\n# ground\\\\ncube('Earth clearing',(0,0,-0.35),(10,8,.35),earth,.15)\\\\n# cobbled path\\\\nfor i in range(22):\\\\n x=-7+i*.55+random.uniform(-.12,.12); y=-5.8+random.uniform(-.35,.35)\\\\n cube('buried cobble',(x,y,0.05),(0.25+random.random()*.18,.32,.08),stone,.08).rotation_euler[2]=random.uniform(-.3,.3)\\\\n# house function orientation z, dimensions\\\\n\\\\ndef house(name,x,y,w,d,h,ang,ma,roofmat,broken=True):\\\\n # parent empty\\\\n base=cube(name+' walls',(x,y,h/2),(w/2,d/2,h/2),ma,.08); base.rotation_euler[2]=ang\\\\n # roof two slabs pitched along x local, ridge along y\\\\n for side in (-1,1):\\\\n  r=cube(name+' rusted roof',(x+side*0.30*math.cos(ang),y+side*0.30*math.sin(ang),h+0.72),(w*.40,d/2+.22,.10),roofmat,.035)\\\\n  r.rotation_euler[2]=ang; r.rotation_euler[1]=side*math.radians(32)\\\\n # ridge\\\\n ridge=cube(name+' roof ridge',(x,y,h+1.02),(.13,d/2+.3,.13),roofmat,.03); ridge.rotation_euler[2]=ang\\\\n # doors and windows as dark planes placed on front/back using local coords\\\\n # front y local -d/2\\\\n for lx in (-w*.27,w*.27):\\\\n  px=x+lx*math.cos(ang)-(-d/2-.012)*math.sin(ang); py=y+lx*math.sin(ang)+(-d/2-.012)*math.cos(ang)\\\\n  q=cube(name+' broken window',(px,py,h*.56),(w*.13,.025,h*.16),dark,.02);q.rotation_euler[2]=ang\\\\n  # crooked frame\\\\n  for xx in (-w*.13,w*.13):\\\\n   fx=x+(lx+xx)*math.cos(ang)-(-d/2-.045)*math.sin(ang);fy=y+(lx+xx)*math.sin(ang)+(-d/2-.045)*math.cos(ang)\\\\n   f=cube('splintered window frame',(fx,fy,h*.56),(.025,.04,h*.18),wood);f.rotation_euler[2]=ang\\\\n  # cross diagonal broken glass\\\\n  p1=(x+(lx-w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx-w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.48)\\\\n  p2=(x+(lx+w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx+w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.64)\\\\n  curve('cracked window',[p1,p2],.012,glass)\\\\n # door\\\\n px=x- w*.12*math.cos(ang)-(-d/2-.02)*math.sin(ang);py=y-w*.12*math.sin(ang)+(-d/2-.02)*math.cos(ang)\\\\n door=cube(name+' sagging door',(px,py,h*.34),(w*.18,.035,h*.34),wood,.03);door.rotation_euler[2]=ang\\\\n # timber braces on front\\\\n for z in (h*.25,h*.72):\\\\n  b=cube(name+' exposed beam',(x,y-d/2-.06,z), (w/2,.07,.06),wood);b.rotation_euler[2]=ang\\\\n # moss patches along base\\\\n for i in range(7):\\\\n  lx=random.uniform(-w/2,w/2); side=random.choice([-1,1]); px=x+lx*math.cos(ang)-side*d/2*math.sin(ang);py=y+lx*math.sin(ang)+side*d/2*math.cos(ang)\\\\n  uv('moss on wall',(px,py+random.uniform(-.04,.04),random.uniform(.25,.65)),(.18,.06,.13),moss)\\\\n return base\\\\nhouse('North cottage',0,1.9,4.2,3.0,2.8,.08,wall,roof)\\\\nhouse('West cottage',-5,1.0,3.5,2.8,2.5,-.18,wall2,roof2)\\\\nhouse('East cottage',5,2.8,3.3,2.6,2.35,.25,wall,roof)\\\\n# collapsed shed / ruin\\\\ncube('collapsed stone wall',(1.7,-2.0,1.0),(2.0,.28,1.0),stone,.08); cube('fallen roof',(2,-2.0,2.15),(1.8,1.2,.12),roof,.05).rotation_euler[1]=.18\\\\n# roof corrugation bars and rust patches across visible roofs\\\\nfor hx,hy,w,d,h,ang in [(0,1.9,4.2,3,2.8,.08),(-5,1,3.5,2.8,2.5,-.18),(5,2.8,3.3,2.6,2.35,.25)]:\\\\n for side in (-1,1):\\\\n  for j in range(7):\\\\n   ly=-d/2+j*d/6; # local y\\\\n   xx=hx+side*.30*math.cos(ang)-ly*math.sin(ang); yy=hy+side*.30*math.sin(ang)+ly*math.cos(ang)\\\\n   bar=cube('roof corrugation',(xx,yy,h+.72+abs(.30)*.0),(w*.39,.018,.035),roof2 if side<0 else roof,.02);bar.rotation_euler[2]=ang;bar.rotation_euler[1]=side*math.radians(32)\\\\n# vegetation grass clumps\\\\nfor i in range(150):\\\\n x=random.uniform(-9,9); y=random.uniform(-6.5,6.5)\\\\n if random.random()<.55 and y>4: continue\\\\n z=.05\\\\n for k in range(random.randint(2,5)):\\\\n  xx=x+random.uniform(-.18,.18); yy=y+random.uniform(-.18,.18); ht=random.uniform(.18,.55)\\\\n  curve('grass blade',[(xx,yy,z),(xx+random.uniform(-.12,.12),yy, z+ht*.65),(xx+random.uniform(-.18,.18),yy,z+ht)],.018,grass)\\\\n# vines climbing fronts and roof edges\\\\nfor x,y in [(-1.7,.35),(1.5,.35),(-6.3,-.4),(4.1,1.4),(6.1,3.0)]:\\\\n pts=[(x,y-.04,.15),(x+.12,y-.05,.9),(x-.08,y-.03,1.7),(x+.18,y-.05,2.45),(x+.35,y-.1,3.25)]\\\\n curve('climbing vine',pts,.035,vine)\\\\n for p in pts[1:]: uv('ivy leaf',(p[0]+random.uniform(-.12,.12),p[1]-.05,p[2]),(.13,.04,.09),vine)\\\\n# back trees\\\\nfor x,y in [(-8,5.5),(-6,6.2),(7,5.8),(8,3.8)]:\\\\n cyl('dead tree trunk',(x,y,2.0),.22,4,wood,7)\\\\n curve('gnarled branch',[(x,y,3),(x+random.uniform(-1,1),y,4),(x+random.uniform(-1.5,1.5),y,5)],.10,wood)\\\\n for k in range(8): uv('wild tree crown',(x+random.uniform(-1.4,1.4),y+random.uniform(-.4,.5),4.4+random.uniform(-.4,1.2)),(.7,.55,.65),leaf)\\\\n# stones foreground\\\\nfor i in range(24):\\\\n x=random.uniform(-8,8); y=random.uniform(-6,-2); uv('mossy stone',(x,y,.18),(random.uniform(.12,.35),random.uniform(.12,.3),random.uniform(.1,.25)),stone)\\\\n# camera\\\\nbpy.ops.object.camera_add(location=(11,-15,10)); cam=bpy.context.object;cam.name='Presentation Camera';bpy.context.scene.camera=cam\\\\ndef track(obj,pt): obj.rotation_euler=(Vector(pt)-obj.location).to_track_quat('-Z','Y').to_euler()\\\\ntrack(cam,(0,1,1.8));cam.data.lens=48\\\\n# lighting\\\\nbpy.ops.object.light_add(type='AREA', location=(2,-4,11)); key=bpy.context.object;key.name='Soft moonlight';key.data.energy=1500;key.data.shape='DISK';key.data.size=8;track(key,(0,1,0))\\\\nbpy.ops.object.light_add(type='AREA', location=(-8,-3,5)); fill=bpy.context.object;fill.data.energy=700;fill.data.color=(0.32,0.45,0.55);fill.data.size=7;track(fill,(0,1,1))\\\\nbpy.ops.object.light_add(type='POINT', location=(0,-2,3));bpy.context.object.data.energy=180;bpy.context.object.data.color=(1.0,.32,.10)\\\\n# world\\\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World');bpy.context.scene.world=world;world.use_nodes=True;world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\\\nscene=bpy.context.scene;scene.render.engine='BLENDER_EEVEE_NEXT';scene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\\\nscene.view_settings.look='AgX - Medium High Contrast'\\\\n# ground fog-like large plane? no\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('DONE scene',len(bpy.context.scene.objects))\\\",\\\"user_prompt\\\":\\\"Create an abandoned village slowly reclaimed by nature with weathered houses, rusted roofs, broken windows, moss, grass, vines, and a clear presentation render.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_s9v2v9ySjVU6WCYi6Ln00BCX\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \\\"BLENDER_EEVEE_NEXT\\\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_otbflqLlIn9N1MS321DTkK78\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nscene=bpy.context.scene\\\\nscene.render.engine='BLENDER_EEVEE'\\\\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\\\nscene.view_settings.look='AgX - Medium High Contrast'\\\\nworld=scene.world\\\\nif world:\\\\n world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('saved',len(scene.objects))\\\",\\\"user_prompt\\\":\\\"Finish and save the abandoned village scene and render a presentation image.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_otbflqLlIn9N1MS321DTkK78\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\\\apps\\\\console\\\\tmp\\\\abandoned_village.blend@ for writing: No such file or directory\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_7E6RB6C3zV0Ohab0XexavM4e\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nscene=bpy.context.scene\\\\nscene.render.engine='BLENDER_EEVEE'\\\\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='//abandoned_village.png'\\\\nscene.view_settings.look='AgX - Medium High Contrast'\\\\nif scene.world:\\\\n scene.world.use_nodes=True; scene.world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); scene.world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\\\nbpy.ops.wm.save_as_mainfile(filepath='//abandoned_village.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('saved',len(scene.objects))\\\",\\\"user_prompt\\\":\\\"Finish and save the abandoned village scene and render a presentation image.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_7E6RB6C3zV0Ohab0XexavM4e\",\"content\":\"Code executed successfully: Info: Saved as \\\"abandoned_village.blend\\\"\\nsaved 715\\n\"}],\"usage\":{\"include\":true},\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"description\":\"Get detailed information about the current Blender scene\\n\\n    Parameters:\\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"user_prompt\"],\"title\":\"get_scene_infoArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_object_info\",\"description\":\"\\n    Get detailed information about a specific object in the Blender scene.\\n\\n    Parameters:\\n    - object_name: The name of the object to get information about\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\"],\"title\":\"get_object_infoArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_viewport_screenshot\",\"description\":\"\\n    Capture a screenshot of the current Blender 3D viewport.\\n\\n    Parameters:\\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns the screenshot as an Image.\\n    \",\"parameters\":{\"properties\":{\"max_size\":{\"default\":1000,\"title\":\"Max Size\",\"type\":\"integer\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_viewport_screenshotArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"description\":\"\\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\\n\\n    Parameters:\\n    - code: The Python code to execute\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"code\":{\"title\":\"Code\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"code\"],\"title\":\"execute_blender_codeArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_categories\",\"description\":\"\\n    Get a list of categories for a specific asset type on Polyhaven.\\n\\n    Parameters:\\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"hdris\",\"title\":\"Asset Type\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_categoriesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_polyhaven_assets\",\"description\":\"\\n    Search for assets on Polyhaven with optional filtering.\\n\\n    Parameters:\\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\\n    - categories: Optional comma-separated list of categories to filter by\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a list of matching assets with basic information.\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"all\",\"title\":\"Asset Type\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"search_polyhaven_assetsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_polyhaven_asset\",\"description\":\"\\n    Download and import a Polyhaven asset into Blender.\\n\\n    Parameters:\\n    - asset_id: The ID of the asset to download\\n    - asset_type: The type of asset (hdris, textures, models)\\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"asset_id\":{\"title\":\"Asset Id\",\"type\":\"string\"},\"asset_type\":{\"title\":\"Asset Type\",\"type\":\"string\"},\"resolution\":{\"default\":\"1k\",\"title\":\"Resolution\",\"type\":\"string\"},\"file_format\":{\"default\":null,\"title\":\"File Format\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"asset_id\",\"asset_type\"],\"title\":\"download_polyhaven_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"set_texture\",\"description\":\"\\n    Apply a previously downloaded Polyhaven texture to an object.\\n    \\n    Parameters:\\n    - object_name: Name of the object to apply the texture to\\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\\n    \\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"texture_id\":{\"title\":\"Texture Id\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\",\"texture_id\"],\"title\":\"set_textureArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_status\",\"description\":\"\\n    Check if PolyHaven integration is enabled in Blender.\\n    Returns a message indicating whether PolyHaven features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hyper3d_status\",\"description\":\"\\n    Check if Hyper3D Rodin integration is enabled in Blender.\\n    Returns a message indicating whether Hyper3D Rodin features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hyper3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_status\",\"description\":\"\\n    Check if Sketchfab integration is enabled in Blender.\\n    Returns a message indicating whether Sketchfab features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_sketchfab_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_sketchfab_models\",\"description\":\"\\n    Search for models on Sketchfab with optional filtering.\\n\\n    Parameters:\\n    - query: Text to search for\\n    - categories: Optional comma-separated list of categories\\n    - count: Maximum number of results to return (default 20)\\n    - downloadable: Whether to include only downloadable models (default True)\\n\\n    Returns a formatted list of matching models.\\n    \",\"parameters\":{\"properties\":{\"query\":{\"title\":\"Query\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"count\":{\"default\":20,\"title\":\"Count\",\"type\":\"integer\"},\"downloadable\":{\"default\":true,\"title\":\"Downloadable\",\"type\":\"boolean\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"query\"],\"title\":\"search_sketchfab_modelsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_model_preview\",\"description\":\"\\n    Get a preview thumbnail of a Sketchfab model by its UID.\\n    Use this to visually confirm a model before downloading.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\\n    \\n    Returns the model's thumbnail as an Image for visual confirmation.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\"],\"title\":\"get_sketchfab_model_previewArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_sketchfab_model\",\"description\":\"\\n    Download and import a Sketchfab model by its UID.\\n    The model will be scaled so its largest dimension equals target_size.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model\\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\\n                  You must specify the desired size for the model.\\n                  Examples:\\n                  - Chair: target_size=1.0 (1 meter tall)\\n                  - Table: target_size=0.75 (75cm tall)\\n                  - Car: target_size=4.5 (4.5 meters long)\\n                  - Person: target_size=1.7 (1.7 meters tall)\\n                  - Small object (cup, phone): target_size=0.1 to 0.3\\n    \\n    Returns a message with import details including object names, dimensions, and bounding box.\\n    The model must be downloadable and you must have proper access rights.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"target_size\":{\"title\":\"Target Size\",\"type\":\"number\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\",\"target_size\"],\"title\":\"download_sketchfab_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_text\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n\\n    Parameters:\\n    - text_prompt: A short description of the desired model in **English**.\\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"title\":\"Text Prompt\",\"type\":\"string\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"text_prompt\"],\"title\":\"generate_hyper3d_model_via_textArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_images\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n    \\n    Parameters:\\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"input_image_paths\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Paths\",\"type\":\"array\"},\"input_image_urls\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Urls\",\"type\":\"array\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hyper3d_model_via_imagesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_rodin_job_status\",\"description\":\"\\n    Check if the Hyper3D Rodin generation task is completed.\\n\\n    For Hyper3D Rodin mode MAIN_SITE:\\n        Parameters:\\n        - subscription_key: The subscription_key given in the generate model step.\\n\\n        Returns a list of status. The task is done if all status are \\\"Done\\\".\\n        If \\\"Failed\\\" showed up, the generating process failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"Done\\\" or \\\"Canceled\\\").\\n\\n    For Hyper3D Rodin mode FAL_AI:\\n        Parameters:\\n        - request_id: The request_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"COMPLETED\\\".\\n        The task is in progress if status is \\\"IN_PROGRESS\\\".\\n        If status other than \\\"COMPLETED\\\", \\\"IN_PROGRESS\\\", \\\"IN_QUEUE\\\" showed up, the generating process might be failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"COMPLETED\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"subscription_key\":{\"default\":null,\"title\":\"Subscription Key\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"title\":\"poll_rodin_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset\",\"description\":\"\\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\\n\\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"task_uuid\":{\"default\":null,\"title\":\"Task Uuid\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"required\":[\"name\"],\"title\":\"import_generated_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hunyuan3d_status\",\"description\":\"\\n    Check if Hunyuan3D integration is enabled in Blender.\\n    Returns a message indicating whether Hunyuan3D features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hunyuan3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hunyuan3d_model\",\"description\":\"\\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \\n    or both for the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    \\n    Parameters:\\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\\n\\n    Returns: \\n    - When successful, returns a JSON with job_id (format: \\\"job_xxx\\\") indicating the task is in progress\\n    - When the job completes, the status will change to \\\"DONE\\\" indicating the model has been imported\\n    - Returns error message if the operation fails\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"default\":null,\"title\":\"Text Prompt\",\"type\":\"string\"},\"input_image_url\":{\"default\":null,\"title\":\"Input Image Url\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hunyuan3d_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_hunyuan_job_status\",\"description\":\"\\n    Check if the Hunyuan3D generation task is completed.\\n\\n    For Hunyuan3D:\\n        Parameters:\\n        - job_id: The job_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"DONE\\\".\\n        The task is in progress if status is \\\"RUN\\\".\\n        If status is \\\"DONE\\\", returns ResultFile3Ds, which is the generated ZIP model path\\n        When the status is \\\"DONE\\\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"DONE\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"job_id\":{\"default\":null,\"title\":\"Job Id\",\"type\":\"string\"}},\"title\":\"poll_hunyuan_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset_hunyuan\",\"description\":\"\\n    Import the asset generated by Hunyuan3D after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - zip_file_url: The zip_file_url given in the generate model step.\\n\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"zip_file_url\":{\"title\":\"Zip File Url\",\"type\":\"string\"}},\"required\":[\"name\",\"zip_file_url\"],\"title\":\"import_generated_asset_hunyuanArguments\",\"type\":\"object\"}}}]}", "body_base64": "{"model":"openai/gpt-5.6-luna","messages":[{"role":"system","content":"You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\n\nYour result will be compared head-to-head with another model. Anyone on the internet can vote, based only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\n\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\n\nThe final published capture is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. The saved scene is also exported to GLB with geometry, materials, the contestant camera, and supported lights for interactive inspection. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\n\n## Harness Instructions\n\nYou are operating Blender through the provided tools. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. The saved scene is also exported to GLB with geometry, materials, your camera, and supported lights for interactive inspection. When you are finished, reply with the single word DONE and no tool calls."},{"role":"user","content":"## Task\n\nComplete the following Blender task:\n\n<task>\n\nAn abandoned village slowly reclaimed by nature. Weathered houses with rusted, corroded metal roofs; overgrown foliage creeping up the walls and through broken windows; moss, grass, and vines spreading across the ground and over the rooftops. Convey age, decay, and the quiet return of the wild.\n\n</task>"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_s9v2v9ySjVU6WCYi6Ln00BCX","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, math, random\\nfrom mathutils import Vector\\nrandom.seed(12)\\n# clear\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\nfor d in (bpy.data.materials, bpy.data.curves, bpy.data.meshes, bpy.data.cameras, bpy.data.lights):\\n    pass\\n# mats\\ndef mat(name,color,rough=0.8,metal=0):\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True\\n bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal\\n return m\\nwall=mat('Weathered plaster',(0.27,0.25,0.20)); wall2=mat('Faded ochre plaster',(0.34,0.29,0.20)); wood=mat('Dark rotting timber',(0.12,0.07,0.035)); roof=mat('Rust corroded metal',(0.20,0.075,0.035),.62,.55); roof2=mat('Old blue rust',(0.10,0.13,0.13),.7,.4); dark=mat('Window darkness',(0.012,0.018,0.015)); glass=mat('Broken glass',(0.12,0.22,0.20),.25); moss=mat('Moss',(0.12,0.22,0.07)); vine=mat('Ivy leaves',(0.08,0.18,0.035)); grass=mat('Wild grass',(0.16,0.28,0.06)); earth=mat('Earth',(0.12,0.085,0.045)); stone=mat('Mossy stones',(0.24,0.25,0.18)); leaf=mat('Tree foliage',(0.06,0.15,0.035));\\ndef cube(n,loc,scale,ma,bev=0):\\n bpy.ops.mesh.primitive_cube_add(location=loc); o=bpy.context.object; o.name=n; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\n if bev: mod=o.modifiers.new('soft eroded edges','BEVEL'); mod.width=bev; mod.segments=2\\n o.data.materials.append(ma); return o\\ndef cyl(n,loc,r,depth,ma,verts=8):\\n bpy.ops.mesh.primitive_cylinder_add(vertices=verts,radius=r,depth=depth,location=loc); o=bpy.context.object;o.name=n;o.data.materials.append(ma); return o\\ndef uv(n,loc,scale,ma):\\n bpy.ops.mesh.primitive_ico_sphere_add(subdivisions=1,radius=1,location=loc);o=bpy.context.object;o.name=n;o.scale=scale;o.data.materials.append(ma);return o\\ndef curve(n,pts,bevel,ma):\\n cu=bpy.data.curves.new(n,'CURVE');cu.dimensions='3D';cu.bevel_depth=bevel;cu.bevel_resolution=2; sp=cu.splines.new('BEZIER');sp.bezier_points.add(len(pts)-1)\\n for p,co in zip(sp.bezier_points,pts): p.co=co;p.handle_left_type='AUTO';p.handle_right_type='AUTO'\\n o=bpy.data.objects.new(n,cu);bpy.context.collection.objects.link(o);o.data.materials.append(ma);return o\\n# ground\\ncube('Earth clearing',(0,0,-0.35),(10,8,.35),earth,.15)\\n# cobbled path\\nfor i in range(22):\\n x=-7+i*.55+random.uniform(-.12,.12); y=-5.8+random.uniform(-.35,.35)\\n cube('buried cobble',(x,y,0.05),(0.25+random.random()*.18,.32,.08),stone,.08).rotation_euler[2]=random.uniform(-.3,.3)\\n# house function orientation z, dimensions\\n\\ndef house(name,x,y,w,d,h,ang,ma,roofmat,broken=True):\\n # parent empty\\n base=cube(name+' walls',(x,y,h/2),(w/2,d/2,h/2),ma,.08); base.rotation_euler[2]=ang\\n # roof two slabs pitched along x local, ridge along y\\n for side in (-1,1):\\n  r=cube(name+' rusted roof',(x+side*0.30*math.cos(ang),y+side*0.30*math.sin(ang),h+0.72),(w*.40,d/2+.22,.10),roofmat,.035)\\n  r.rotation_euler[2]=ang; r.rotation_euler[1]=side*math.radians(32)\\n # ridge\\n ridge=cube(name+' roof ridge',(x,y,h+1.02),(.13,d/2+.3,.13),roofmat,.03); ridge.rotation_euler[2]=ang\\n # doors and windows as dark planes placed on front/back using local coords\\n # front y local -d/2\\n for lx in (-w*.27,w*.27):\\n  px=x+lx*math.cos(ang)-(-d/2-.012)*math.sin(ang); py=y+lx*math.sin(ang)+(-d/2-.012)*math.cos(ang)\\n  q=cube(name+' broken window',(px,py,h*.56),(w*.13,.025,h*.16),dark,.02);q.rotation_euler[2]=ang\\n  # crooked frame\\n  for xx in (-w*.13,w*.13):\\n   fx=x+(lx+xx)*math.cos(ang)-(-d/2-.045)*math.sin(ang);fy=y+(lx+xx)*math.sin(ang)+(-d/2-.045)*math.cos(ang)\\n   f=cube('splintered window frame',(fx,fy,h*.56),(.025,.04,h*.18),wood);f.rotation_euler[2]=ang\\n  # cross diagonal broken glass\\n  p1=(x+(lx-w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx-w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.48)\\n  p2=(x+(lx+w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx+w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.64)\\n  curve('cracked window',[p1,p2],.012,glass)\\n # door\\n px=x- w*.12*math.cos(ang)-(-d/2-.02)*math.sin(ang);py=y-w*.12*math.sin(ang)+(-d/2-.02)*math.cos(ang)\\n door=cube(name+' sagging door',(px,py,h*.34),(w*.18,.035,h*.34),wood,.03);door.rotation_euler[2]=ang\\n # timber braces on front\\n for z in (h*.25,h*.72):\\n  b=cube(name+' exposed beam',(x,y-d/2-.06,z), (w/2,.07,.06),wood);b.rotation_euler[2]=ang\\n # moss patches along base\\n for i in range(7):\\n  lx=random.uniform(-w/2,w/2); side=random.choice([-1,1]); px=x+lx*math.cos(ang)-side*d/2*math.sin(ang);py=y+lx*math.sin(ang)+side*d/2*math.cos(ang)\\n  uv('moss on wall',(px,py+random.uniform(-.04,.04),random.uniform(.25,.65)),(.18,.06,.13),moss)\\n return base\\nhouse('North cottage',0,1.9,4.2,3.0,2.8,.08,wall,roof)\\nhouse('West cottage',-5,1.0,3.5,2.8,2.5,-.18,wall2,roof2)\\nhouse('East cottage',5,2.8,3.3,2.6,2.35,.25,wall,roof)\\n# collapsed shed / ruin\\ncube('collapsed stone wall',(1.7,-2.0,1.0),(2.0,.28,1.0),stone,.08); cube('fallen roof',(2,-2.0,2.15),(1.8,1.2,.12),roof,.05).rotation_euler[1]=.18\\n# roof corrugation bars and rust patches across visible roofs\\nfor hx,hy,w,d,h,ang in [(0,1.9,4.2,3,2.8,.08),(-5,1,3.5,2.8,2.5,-.18),(5,2.8,3.3,2.6,2.35,.25)]:\\n for side in (-1,1):\\n  for j in range(7):\\n   ly=-d/2+j*d/6; # local y\\n   xx=hx+side*.30*math.cos(ang)-ly*math.sin(ang); yy=hy+side*.30*math.sin(ang)+ly*math.cos(ang)\\n   bar=cube('roof corrugation',(xx,yy,h+.72+abs(.30)*.0),(w*.39,.018,.035),roof2 if side<0 else roof,.02);bar.rotation_euler[2]=ang;bar.rotation_euler[1]=side*math.radians(32)\\n# vegetation grass clumps\\nfor i in range(150):\\n x=random.uniform(-9,9); y=random.uniform(-6.5,6.5)\\n if random.random()<.55 and y>4: continue\\n z=.05\\n for k in range(random.randint(2,5)):\\n  xx=x+random.uniform(-.18,.18); yy=y+random.uniform(-.18,.18); ht=random.uniform(.18,.55)\\n  curve('grass blade',[(xx,yy,z),(xx+random.uniform(-.12,.12),yy, z+ht*.65),(xx+random.uniform(-.18,.18),yy,z+ht)],.018,grass)\\n# vines climbing fronts and roof edges\\nfor x,y in [(-1.7,.35),(1.5,.35),(-6.3,-.4),(4.1,1.4),(6.1,3.0)]:\\n pts=[(x,y-.04,.15),(x+.12,y-.05,.9),(x-.08,y-.03,1.7),(x+.18,y-.05,2.45),(x+.35,y-.1,3.25)]\\n curve('climbing vine',pts,.035,vine)\\n for p in pts[1:]: uv('ivy leaf',(p[0]+random.uniform(-.12,.12),p[1]-.05,p[2]),(.13,.04,.09),vine)\\n# back trees\\nfor x,y in [(-8,5.5),(-6,6.2),(7,5.8),(8,3.8)]:\\n cyl('dead tree trunk',(x,y,2.0),.22,4,wood,7)\\n curve('gnarled branch',[(x,y,3),(x+random.uniform(-1,1),y,4),(x+random.uniform(-1.5,1.5),y,5)],.10,wood)\\n for k in range(8): uv('wild tree crown',(x+random.uniform(-1.4,1.4),y+random.uniform(-.4,.5),4.4+random.uniform(-.4,1.2)),(.7,.55,.65),leaf)\\n# stones foreground\\nfor i in range(24):\\n x=random.uniform(-8,8); y=random.uniform(-6,-2); uv('mossy stone',(x,y,.18),(random.uniform(.12,.35),random.uniform(.12,.3),random.uniform(.1,.25)),stone)\\n# camera\\nbpy.ops.object.camera_add(location=(11,-15,10)); cam=bpy.context.object;cam.name='Presentation Camera';bpy.context.scene.camera=cam\\ndef track(obj,pt): obj.rotation_euler=(Vector(pt)-obj.location).to_track_quat('-Z','Y').to_euler()\\ntrack(cam,(0,1,1.8));cam.data.lens=48\\n# lighting\\nbpy.ops.object.light_add(type='AREA', location=(2,-4,11)); key=bpy.context.object;key.name='Soft moonlight';key.data.energy=1500;key.data.shape='DISK';key.data.size=8;track(key,(0,1,0))\\nbpy.ops.object.light_add(type='AREA', location=(-8,-3,5)); fill=bpy.context.object;fill.data.energy=700;fill.data.color=(0.32,0.45,0.55);fill.data.size=7;track(fill,(0,1,1))\\nbpy.ops.object.light_add(type='POINT', location=(0,-2,3));bpy.context.object.data.energy=180;bpy.context.object.data.color=(1.0,.32,.10)\\n# world\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World');bpy.context.scene.world=world;world.use_nodes=True;world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nscene=bpy.context.scene;scene.render.engine='BLENDER_EEVEE_NEXT';scene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\n# ground fog-like large plane? no\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('DONE scene',len(bpy.context.scene.objects))\",\"user_prompt\":\"Create an abandoned village slowly reclaimed by nature with weathered houses, rusted roofs, broken windows, moss, grass, vines, and a clear presentation render.\"}"}}]},{"role":"tool","tool_call_id":"call_s9v2v9ySjVU6WCYi6Ln00BCX","content":"Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \"BLENDER_EEVEE_NEXT\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_otbflqLlIn9N1MS321DTkK78","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\nworld=scene.world\\nif world:\\n world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('saved',len(scene.objects))\",\"user_prompt\":\"Finish and save the abandoned village scene and render a presentation image.\"}"}}]},{"role":"tool","tool_call_id":"call_otbflqLlIn9N1MS321DTkK78","content":"Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file C:\\Users\\gruku\\Files\\Projects\\Blender-Bench\\apps\\console\\tmp\\abandoned_village.blend@ for writing: No such file or directory\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_7E6RB6C3zV0Ohab0XexavM4e","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='//abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\nif scene.world:\\n scene.world.use_nodes=True; scene.world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); scene.world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nbpy.ops.wm.save_as_mainfile(filepath='//abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('saved',len(scene.objects))\",\"user_prompt\":\"Finish and save the abandoned village scene and render a presentation image.\"}"}}]},{"role":"tool","tool_call_id":"call_7E6RB6C3zV0Ohab0XexavM4e","content":"Code executed successfully: Info: Saved as \"abandoned_village.blend\"\nsaved 715\n"}],"usage":{"include":true},"tools":[{"type":"function","function":{"name":"get_scene_info","description":"Get detailed information about the current Blender scene\n\n    Parameters:\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\n    ","parameters":{"properties":{"user_prompt":{"title":"User Prompt","type":"string"}},"required":["user_prompt"],"title":"get_scene_infoArguments","type":"object"}}},{"type":"function","function":{"name":"get_object_info","description":"\n    Get detailed information about a specific object in the Blender scene.\n\n    Parameters:\n    - object_name: The name of the object to get information about\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"object_name":{"title":"Object Name","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["object_name"],"title":"get_object_infoArguments","type":"object"}}},{"type":"function","function":{"name":"get_viewport_screenshot","description":"\n    Capture a screenshot of the current Blender 3D viewport.\n\n    Parameters:\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns the screenshot as an Image.\n    ","parameters":{"properties":{"max_size":{"default":1000,"title":"Max Size","type":"integer"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_viewport_screenshotArguments","type":"object"}}},{"type":"function","function":{"name":"execute_blender_code","description":"\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"code":{"title":"Code","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["code"],"title":"execute_blender_codeArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_categories","description":"\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"asset_type":{"default":"hdris","title":"Asset Type","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_categoriesArguments","type":"object"}}},{"type":"function","function":{"name":"search_polyhaven_assets","description":"\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ","parameters":{"properties":{"asset_type":{"default":"all","title":"Asset Type","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"search_polyhaven_assetsArguments","type":"object"}}},{"type":"function","function":{"name":"download_polyhaven_asset","description":"\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"asset_id":{"title":"Asset Id","type":"string"},"asset_type":{"title":"Asset Type","type":"string"},"resolution":{"default":"1k","title":"Resolution","type":"string"},"file_format":{"default":null,"title":"File Format","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["asset_id","asset_type"],"title":"download_polyhaven_assetArguments","type":"object"}}},{"type":"function","function":{"name":"set_texture","description":"\n    Apply a previously downloaded Polyhaven texture to an object.\n    \n    Parameters:\n    - object_name: Name of the object to apply the texture to\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\n    \n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"object_name":{"title":"Object Name","type":"string"},"texture_id":{"title":"Texture Id","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["object_name","texture_id"],"title":"set_textureArguments","type":"object"}}},{"type":"function","function":{"name":"get_polyhaven_status","description":"\n    Check if PolyHaven integration is enabled in Blender.\n    Returns a message indicating whether PolyHaven features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_polyhaven_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_hyper3d_status","description":"\n    Check if Hyper3D Rodin integration is enabled in Blender.\n    Returns a message indicating whether Hyper3D Rodin features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_hyper3d_statusArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_status","description":"\n    Check if Sketchfab integration is enabled in Blender.\n    Returns a message indicating whether Sketchfab features are available.\n    ","parameters":{"properties":{"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_sketchfab_statusArguments","type":"object"}}},{"type":"function","function":{"name":"search_sketchfab_models","description":"\n    Search for models on Sketchfab with optional filtering.\n\n    Parameters:\n    - query: Text to search for\n    - categories: Optional comma-separated list of categories\n    - count: Maximum number of results to return (default 20)\n    - downloadable: Whether to include only downloadable models (default True)\n\n    Returns a formatted list of matching models.\n    ","parameters":{"properties":{"query":{"title":"Query","type":"string"},"categories":{"default":null,"title":"Categories","type":"string"},"count":{"default":20,"title":"Count","type":"integer"},"downloadable":{"default":true,"title":"Downloadable","type":"boolean"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["query"],"title":"search_sketchfab_modelsArguments","type":"object"}}},{"type":"function","function":{"name":"get_sketchfab_model_preview","description":"\n    Get a preview thumbnail of a Sketchfab model by its UID.\n    Use this to visually confirm a model before downloading.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\n    \n    Returns the model's thumbnail as an Image for visual confirmation.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid"],"title":"get_sketchfab_model_previewArguments","type":"object"}}},{"type":"function","function":{"name":"download_sketchfab_model","description":"\n    Download and import a Sketchfab model by its UID.\n    The model will be scaled so its largest dimension equals target_size.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\n                  You must specify the desired size for the model.\n                  Examples:\n                  - Chair: target_size=1.0 (1 meter tall)\n                  - Table: target_size=0.75 (75cm tall)\n                  - Car: target_size=4.5 (4.5 meters long)\n                  - Person: target_size=1.7 (1.7 meters tall)\n                  - Small object (cup, phone): target_size=0.1 to 0.3\n    \n    Returns a message with import details including object names, dimensions, and bounding box.\n    The model must be downloadable and you must have proper access rights.\n    ","parameters":{"properties":{"uid":{"title":"Uid","type":"string"},"target_size":{"title":"Target Size","type":"number"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["uid","target_size"],"title":"download_sketchfab_modelArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_text","description":"\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n\n    Parameters:\n    - text_prompt: A short description of the desired model in **English**.\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"text_prompt":{"title":"Text Prompt","type":"string"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["text_prompt"],"title":"generate_hyper3d_model_via_textArguments","type":"object"}}},{"type":"function","function":{"name":"generate_hyper3d_model_via_images","description":"\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n    \n    Parameters:\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\n    Returns a message indicating success or failure.\n    ","parameters":{"properties":{"input_image_paths":{"default":null,"items":{"type":"string"},"title":"Input Image Paths","type":"array"},"input_image_urls":{"default":null,"items":{"type":"string"},"title":"Input Image Urls","type":"array"},"bbox_condition":{"default":null,"items":{"type":"number"},"title":"Bbox Condition","type":"array"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"generate_hyper3d_model_via_imagesArguments","type":"object"}}},{"type":"function","function":{"name":"poll_rodin_job_status","description":"\n    Check if the Hyper3D Rodin generation task is completed.\n\n    For Hyper3D Rodin mode MAIN_SITE:\n        Parameters:\n        - subscription_key: The subscription_key given in the generate model step.\n\n        Returns a list of status. The task is done if all status are \"Done\".\n        If \"Failed\" showed up, the generating process failed.\n        This is a polling API, so only proceed if the status are finally determined (\"Done\" or \"Canceled\").\n\n    For Hyper3D Rodin mode FAL_AI:\n        Parameters:\n        - request_id: The request_id given in the generate model step.\n\n        Returns the generation task status. 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"}
{"ts": "2026-07-15T10:44:08.984414+00:00", "type": "image", "tool": "get_viewport_screenshot"}
{"ts": "2026-07-15T10:44:14.980744+00:00", "type": "llm_call", "call_index": 5, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T10:44:08.985929+00:00", "finished_at": "2026-07-15T10:44:14.980239+00:00", "duration_s": 5.985000000015134, "request": {"messages": [{"role": "system", "content": "You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\n\nYour result will be compared head-to-head with another model. Anyone on the internet can vote, based only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\n\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\n\nThe final published capture is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. The saved scene is also exported to GLB with geometry, materials, the contestant camera, and supported lights for interactive inspection. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\n\n## Harness Instructions\n\nYou are operating Blender through the provided tools. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. The saved scene is also exported to GLB with geometry, materials, your camera, and supported lights for interactive inspection. When you are finished, reply with the single word DONE and no tool calls."}, {"role": "user", "content": "## Task\n\nComplete the following Blender task:\n\n<task>\n\nAn abandoned village slowly reclaimed by nature. Weathered houses with rusted, corroded metal roofs; overgrown foliage creeping up the walls and through broken windows; moss, grass, and vines spreading across the ground and over the rooftops. Convey age, decay, and the quiet return of the wild.\n\n</task>"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_s9v2v9ySjVU6WCYi6Ln00BCX", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, math, random\\nfrom mathutils import Vector\\nrandom.seed(12)\\n# clear\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\nfor d in (bpy.data.materials, bpy.data.curves, bpy.data.meshes, bpy.data.cameras, bpy.data.lights):\\n    pass\\n# mats\\ndef mat(name,color,rough=0.8,metal=0):\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True\\n bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal\\n return m\\nwall=mat('Weathered plaster',(0.27,0.25,0.20)); wall2=mat('Faded ochre plaster',(0.34,0.29,0.20)); wood=mat('Dark rotting timber',(0.12,0.07,0.035)); roof=mat('Rust corroded metal',(0.20,0.075,0.035),.62,.55); roof2=mat('Old blue rust',(0.10,0.13,0.13),.7,.4); dark=mat('Window darkness',(0.012,0.018,0.015)); glass=mat('Broken glass',(0.12,0.22,0.20),.25); moss=mat('Moss',(0.12,0.22,0.07)); vine=mat('Ivy leaves',(0.08,0.18,0.035)); grass=mat('Wild grass',(0.16,0.28,0.06)); earth=mat('Earth',(0.12,0.085,0.045)); stone=mat('Mossy stones',(0.24,0.25,0.18)); leaf=mat('Tree foliage',(0.06,0.15,0.035));\\ndef cube(n,loc,scale,ma,bev=0):\\n bpy.ops.mesh.primitive_cube_add(location=loc); o=bpy.context.object; o.name=n; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\n if bev: mod=o.modifiers.new('soft eroded edges','BEVEL'); mod.width=bev; mod.segments=2\\n o.data.materials.append(ma); return o\\ndef cyl(n,loc,r,depth,ma,verts=8):\\n bpy.ops.mesh.primitive_cylinder_add(vertices=verts,radius=r,depth=depth,location=loc); o=bpy.context.object;o.name=n;o.data.materials.append(ma); return o\\ndef uv(n,loc,scale,ma):\\n bpy.ops.mesh.primitive_ico_sphere_add(subdivisions=1,radius=1,location=loc);o=bpy.context.object;o.name=n;o.scale=scale;o.data.materials.append(ma);return o\\ndef curve(n,pts,bevel,ma):\\n cu=bpy.data.curves.new(n,'CURVE');cu.dimensions='3D';cu.bevel_depth=bevel;cu.bevel_resolution=2; sp=cu.splines.new('BEZIER');sp.bezier_points.add(len(pts)-1)\\n for p,co in zip(sp.bezier_points,pts): p.co=co;p.handle_left_type='AUTO';p.handle_right_type='AUTO'\\n o=bpy.data.objects.new(n,cu);bpy.context.collection.objects.link(o);o.data.materials.append(ma);return o\\n# ground\\ncube('Earth clearing',(0,0,-0.35),(10,8,.35),earth,.15)\\n# cobbled path\\nfor i in range(22):\\n x=-7+i*.55+random.uniform(-.12,.12); y=-5.8+random.uniform(-.35,.35)\\n cube('buried cobble',(x,y,0.05),(0.25+random.random()*.18,.32,.08),stone,.08).rotation_euler[2]=random.uniform(-.3,.3)\\n# house function orientation z, dimensions\\n\\ndef house(name,x,y,w,d,h,ang,ma,roofmat,broken=True):\\n # parent empty\\n base=cube(name+' walls',(x,y,h/2),(w/2,d/2,h/2),ma,.08); base.rotation_euler[2]=ang\\n # roof two slabs pitched along x local, ridge along y\\n for side in (-1,1):\\n  r=cube(name+' rusted roof',(x+side*0.30*math.cos(ang),y+side*0.30*math.sin(ang),h+0.72),(w*.40,d/2+.22,.10),roofmat,.035)\\n  r.rotation_euler[2]=ang; r.rotation_euler[1]=side*math.radians(32)\\n # ridge\\n ridge=cube(name+' roof ridge',(x,y,h+1.02),(.13,d/2+.3,.13),roofmat,.03); ridge.rotation_euler[2]=ang\\n # doors and windows as dark planes placed on front/back using local coords\\n # front y local -d/2\\n for lx in (-w*.27,w*.27):\\n  px=x+lx*math.cos(ang)-(-d/2-.012)*math.sin(ang); py=y+lx*math.sin(ang)+(-d/2-.012)*math.cos(ang)\\n  q=cube(name+' broken window',(px,py,h*.56),(w*.13,.025,h*.16),dark,.02);q.rotation_euler[2]=ang\\n  # crooked frame\\n  for xx in (-w*.13,w*.13):\\n   fx=x+(lx+xx)*math.cos(ang)-(-d/2-.045)*math.sin(ang);fy=y+(lx+xx)*math.sin(ang)+(-d/2-.045)*math.cos(ang)\\n   f=cube('splintered window frame',(fx,fy,h*.56),(.025,.04,h*.18),wood);f.rotation_euler[2]=ang\\n  # cross diagonal broken glass\\n  p1=(x+(lx-w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx-w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.48)\\n  p2=(x+(lx+w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx+w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.64)\\n  curve('cracked window',[p1,p2],.012,glass)\\n # door\\n px=x- w*.12*math.cos(ang)-(-d/2-.02)*math.sin(ang);py=y-w*.12*math.sin(ang)+(-d/2-.02)*math.cos(ang)\\n door=cube(name+' sagging door',(px,py,h*.34),(w*.18,.035,h*.34),wood,.03);door.rotation_euler[2]=ang\\n # timber braces on front\\n for z in (h*.25,h*.72):\\n  b=cube(name+' exposed beam',(x,y-d/2-.06,z), (w/2,.07,.06),wood);b.rotation_euler[2]=ang\\n # moss patches along base\\n for i in range(7):\\n  lx=random.uniform(-w/2,w/2); side=random.choice([-1,1]); px=x+lx*math.cos(ang)-side*d/2*math.sin(ang);py=y+lx*math.sin(ang)+side*d/2*math.cos(ang)\\n  uv('moss on wall',(px,py+random.uniform(-.04,.04),random.uniform(.25,.65)),(.18,.06,.13),moss)\\n return base\\nhouse('North cottage',0,1.9,4.2,3.0,2.8,.08,wall,roof)\\nhouse('West cottage',-5,1.0,3.5,2.8,2.5,-.18,wall2,roof2)\\nhouse('East cottage',5,2.8,3.3,2.6,2.35,.25,wall,roof)\\n# collapsed shed / ruin\\ncube('collapsed stone wall',(1.7,-2.0,1.0),(2.0,.28,1.0),stone,.08); cube('fallen roof',(2,-2.0,2.15),(1.8,1.2,.12),roof,.05).rotation_euler[1]=.18\\n# roof corrugation bars and rust patches across visible roofs\\nfor hx,hy,w,d,h,ang in [(0,1.9,4.2,3,2.8,.08),(-5,1,3.5,2.8,2.5,-.18),(5,2.8,3.3,2.6,2.35,.25)]:\\n for side in (-1,1):\\n  for j in range(7):\\n   ly=-d/2+j*d/6; # local y\\n   xx=hx+side*.30*math.cos(ang)-ly*math.sin(ang); yy=hy+side*.30*math.sin(ang)+ly*math.cos(ang)\\n   bar=cube('roof corrugation',(xx,yy,h+.72+abs(.30)*.0),(w*.39,.018,.035),roof2 if side<0 else roof,.02);bar.rotation_euler[2]=ang;bar.rotation_euler[1]=side*math.radians(32)\\n# vegetation grass clumps\\nfor i in range(150):\\n x=random.uniform(-9,9); y=random.uniform(-6.5,6.5)\\n if random.random()<.55 and y>4: continue\\n z=.05\\n for k in range(random.randint(2,5)):\\n  xx=x+random.uniform(-.18,.18); yy=y+random.uniform(-.18,.18); ht=random.uniform(.18,.55)\\n  curve('grass blade',[(xx,yy,z),(xx+random.uniform(-.12,.12),yy, z+ht*.65),(xx+random.uniform(-.18,.18),yy,z+ht)],.018,grass)\\n# vines climbing fronts and roof edges\\nfor x,y in [(-1.7,.35),(1.5,.35),(-6.3,-.4),(4.1,1.4),(6.1,3.0)]:\\n pts=[(x,y-.04,.15),(x+.12,y-.05,.9),(x-.08,y-.03,1.7),(x+.18,y-.05,2.45),(x+.35,y-.1,3.25)]\\n curve('climbing vine',pts,.035,vine)\\n for p in pts[1:]: uv('ivy leaf',(p[0]+random.uniform(-.12,.12),p[1]-.05,p[2]),(.13,.04,.09),vine)\\n# back trees\\nfor x,y in [(-8,5.5),(-6,6.2),(7,5.8),(8,3.8)]:\\n cyl('dead tree trunk',(x,y,2.0),.22,4,wood,7)\\n curve('gnarled branch',[(x,y,3),(x+random.uniform(-1,1),y,4),(x+random.uniform(-1.5,1.5),y,5)],.10,wood)\\n for k in range(8): uv('wild tree crown',(x+random.uniform(-1.4,1.4),y+random.uniform(-.4,.5),4.4+random.uniform(-.4,1.2)),(.7,.55,.65),leaf)\\n# stones foreground\\nfor i in range(24):\\n x=random.uniform(-8,8); y=random.uniform(-6,-2); uv('mossy stone',(x,y,.18),(random.uniform(.12,.35),random.uniform(.12,.3),random.uniform(.1,.25)),stone)\\n# camera\\nbpy.ops.object.camera_add(location=(11,-15,10)); cam=bpy.context.object;cam.name='Presentation Camera';bpy.context.scene.camera=cam\\ndef track(obj,pt): obj.rotation_euler=(Vector(pt)-obj.location).to_track_quat('-Z','Y').to_euler()\\ntrack(cam,(0,1,1.8));cam.data.lens=48\\n# lighting\\nbpy.ops.object.light_add(type='AREA', location=(2,-4,11)); key=bpy.context.object;key.name='Soft moonlight';key.data.energy=1500;key.data.shape='DISK';key.data.size=8;track(key,(0,1,0))\\nbpy.ops.object.light_add(type='AREA', location=(-8,-3,5)); fill=bpy.context.object;fill.data.energy=700;fill.data.color=(0.32,0.45,0.55);fill.data.size=7;track(fill,(0,1,1))\\nbpy.ops.object.light_add(type='POINT', location=(0,-2,3));bpy.context.object.data.energy=180;bpy.context.object.data.color=(1.0,.32,.10)\\n# world\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World');bpy.context.scene.world=world;world.use_nodes=True;world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nscene=bpy.context.scene;scene.render.engine='BLENDER_EEVEE_NEXT';scene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\n# ground fog-like large plane? no\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('DONE scene',len(bpy.context.scene.objects))\",\"user_prompt\":\"Create an abandoned village slowly reclaimed by nature with weathered houses, rusted roofs, broken windows, moss, grass, vines, and a clear presentation render.\"}"}}]}, {"role": "tool", "tool_call_id": "call_s9v2v9ySjVU6WCYi6Ln00BCX", "content": "Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \"BLENDER_EEVEE_NEXT\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_otbflqLlIn9N1MS321DTkK78", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\nworld=scene.world\\nif world:\\n world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('saved',len(scene.objects))\",\"user_prompt\":\"Finish and save the abandoned village scene and render a presentation image.\"}"}}]}, {"role": "tool", "tool_call_id": "call_otbflqLlIn9N1MS321DTkK78", "content": "Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\apps\\console\\tmp\\abandoned_village.blend@ for writing: No such file or directory\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_7E6RB6C3zV0Ohab0XexavM4e", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='//abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\nif scene.world:\\n scene.world.use_nodes=True; scene.world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); scene.world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nbpy.ops.wm.save_as_mainfile(filepath='//abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('saved',len(scene.objects))\",\"user_prompt\":\"Finish and save the abandoned village scene and render a presentation image.\"}"}}]}, {"role": "tool", "tool_call_id": "call_7E6RB6C3zV0Ohab0XexavM4e", "content": "Code executed successfully: Info: Saved as \"abandoned_village.blend\"\nsaved 715\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_ufoxdMEkZL4zaWObKwZ3EXM6", "type": "function", "function": {"name": "get_viewport_screenshot", "arguments": "{\"max_size\":800,\"user_prompt\":\"Inspect the finished abandoned village presentation.\"}"}}]}, {"role": "tool", "tool_call_id": "call_ufoxdMEkZL4zaWObKwZ3EXM6", "content": ""}, {"role": "user", "content": [{"type": "image_url", "image_url": {"url": 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59eOHfm5ImH/y9Oz8RKt2fjtzz4wX/z619/8gzv2G45NvXdZ14GNvfE382+cMm7KZSeTD70oQ9xeyY2VjLf+ta3mBN4uIOGuzKesfEKi74iZtYSrOdm9z/44V9+xy+++eZGq12rVr7x5Jl//08/HHruE6+5/QamMqYC7tyYDVhXMT/ceuutXOLREx7TEY+ymEBYCMmdcwVDMVsJcNh05JigEZg9IeX5E9Usrby6oigAwTHjQMoKkc+J8Mq0xexGxHKAe+YsZMIi8bRQ/KrVAdBcZhOqfGAkuCgr5YSLkIwkkeDUyChbKUF+kel0oooBUIWGgBMTscmp5/1CF5iLn+ECksQMjhIwOUWY8/yJO5CJ5goVk26UFzqRlVGtU2pcpSh2oXFqCP2mrits1y64uZRCvi7VbafUjXq9rxX5NuJngHFuXpYhp5KsBgxaq7d/+qd/wlD3bTwq9uoKEj1n0iDX2eHbO415KaM7cRI28wnzFFMw3z3wHEskRuKRXgKGnhyZdRVzjr2znMKF5k0A+rLK5izvUFLk3ASDF+56weteU/0vW2Rg6KUUg7ybTVQu7rpQyB/jiR4LwRFwdeReYag/C2OIJn1ghbZ9lJG2D4yqPkjF0yuqPob9Pe68tr/rXgHbb39zw3oJffg5kbnS/fEf/3HhVRtCzU48R/nRUz/YPzl8+kK2PPjxiTnukgrd+aRrLZ76wjdfuPeu43j/9lPrD3oKTTyZ8OaKVZQwnPJMO5o30CAwV7DM4oaKR0J6ioT+Hx55/scvzd9+/b6Xzi4+9uPzejigezaejvN4iEWReo+FGk/iYWCFw+Isrh9iVATj7tp8ggUCFhFFtGQMbIMmv+TMm+xQI4/RkTQ7pN25OWHQS7E3CjkFK6waRNnrQAxi2x+z5ZWVZWz1FbXGiu3l5MwG8aWP0LY8WJGhjwytqBL+PiaDVznIyyXf8oAWxnC5VkTVJzCCV/zC9EEqGONV7IVPYMmTV6xohaeIQhLGg5sfJz4p8zc8CUkSgKn2gqAOj5EkwceqKyfnw+jjqxAcw45yH55rVVUYv4LZs5HHmKMc+3DL4PsDqO0FwKOdlitD5aHx6LfUaTdXN7dZUVU0qQxPlsrr312V+Oq9VG43ltrN7PlI9LjpolzWYstemCKEBJNUgWmVR8qV3Puc5lL2df2liXkmTiaqZI3l+UeaGDzuLqGOdZeSp6W8pxSx4zLB0C+X60hW5Dv2349A/PEAF6K3BBRaXWnlllFlj2vLpaGrvsbalaOm1mnYxJZGeds9vCskvbybPPaDlb2stq2niwqnjF6ERBUDMyxRJifsgPEnJNEqyvn1EGHY1oJjSwSm2kSTN0niBx8DSMyvbTEfWL45inBw5DZalCfvQ9IHrOALm9DHqo+vK1HVKxLCLoxcMfSyutwI+7gYkCpZDdhqh8xZ4we45nbajc5aupzKn3GOCqFdz3ZYSJJ82aMFwQpPcw4BqeiZU7PwMVr6zrJLXdh7feLHY7rASlpyJYp4dY9wS8rHSXixBpl1H5jCxsR4wKgoISkWIqPyiso0h37PH+kr6nRAct7d8CJ5S/BwqXykU7rQvf+PRwdDilET5S1pAcTjFeXE1gc00Q9eZCBxFBhIu3UgoOpzOg0e2IBIOpYmkNMVuCYVGvJkPn9A40HJy9LwXk/fdBfS5pU+WBYSTHLI8EKiCYKpCQkmYdhTRYInHo54POiMJZpwFVoh7wRgwbI0Ud+n3xIwkXMgui1Yb8VVaEuf8PpXOXgOQWyv45fQn+Sa1DpaCd1BlDVBRUJS5BQLm4BSYbvWGuuvTrsUcBb3Rop+FZ5ic6gRcM1lolYMG+Fn/0pDwLxG9KqLoqv6hL0lRr0BA8jNBdbYzGumbn9Xh0dwbTaizN6zIFRe+sxweZXBoUUPNswvvMvks4nMuPutdBfZJtA+SplzYmPF608uCWoMJggktUec+cdufVqbr4IkUeY1CWDXi7SXxsZ5edddRMJ8A6WJufF0L4ta97n1JnHVWqfEn7xf6HanlYngonm2Idh1tC1URsCWMrExXDkWDFQOx64ss67oMU2a7CJOOVPIaZGujm47iyS+uKSN1iDkD4o1EpRDyLmc2Eae/rLDMyyvocrdrlYIQwA0hGTbPSsQqptA8HQXOUkBqyHkJDfBtdKomNlsWFkwCUJURjaqXJRALkHml5vjiGNBTrKtD8dOmM2260J+qNAEtUK+1JZux2RDC+WuNCR2UdZf3R5TjgsJdpQU3QkCxKikAe8ktkiFHFsN0oR2HTVXWiYeUt6LjoIakq+VlQwLzfMmV0KT9J5cEDm3pvwFHkUA9LZWJjsJAB4urzBDQns3P3I/eOt99937My+dW2KziusOT7APGLdqL5xmB4omezy87W1vwz2JfWX4Q2uuWPzVDxtKwQKOnSfYvgIlGxl8+MMfRgmSj8geeughlHxYyl8J8beHXAz4k59vf/vb+gpezXCnExOTV+FbACFfQTm97HbFsPOHGY2VFjCxbB40yNJbGcmRox5ZKdFzvAbsZP5sgc8Q+XmRly85tROfe71Ie0mMLq3mfb+yjbjpz8TKh0l6itI4x0SyDUUSlXlaaxBInE00AQESzhGfvSh1NwLA/IMLTASckvw93eAmO0ESZIyThjA5qB9UpQbuxMXObeNxQVZROeQSiHOttTpUzn46jMQfDaGRDAbZB8stQiDRTPKdB7lDBmIgwoSE+BlX5OjJwZDruKDZC2EnAcexFKtohRqitsQqTBKlWmqMapPGuojgZJOdCGIrZCASkhoCABmwBYchZSHDVVP2OhAKoNuOzYbko3JbqNqyObCZQcwUpSSP5knR5HZnsARy7jZ9dWDRQjGeJlw+BrxuctT0Xg6n2Z/YkJDYDeKpn8zqC/+X51bHRmpT49ljKnYsZVXkdxC4AczqChbN9VQxxaBkiwf+Qoddo6hiSwz54Dt8/q6HSZyXEXx4H/8sERMnplrCGLABtrqigg6bXEiOedQjEzy16kkEesbFwiCFlKFkcgmF+F1UXpaXVb4q7JQOd0rnNwf2LsZy9ah0qWBkagDrRPIBtZAEpL5SLVWYkxKMiwIrx91l9bNJthQ453XaE5VOQFqEpv8014sWEuJ0A3vBroRerRCz2uIwaEusHcS7bQEjK5ncDDoo1FqDYGU8ZJKVx6PZaDWWq/O1fZ25lytTpWkmrmTWgpxBsh5B15HMI3n0vkdkwsv3eWyLOgqNkFetOXhUF6lLkaWx3pEkGust9Dp59+ABImaHnR8htDSbiTbmIoqAlQPeU83ptqPgpsIHi1ZoHrNGJhSloRhPQIrqEOmRrcl31PY07KDOioW9ET7/+c+z7Qs7g/Isia2J2TaBvatYxtx6660sv7TdeuGfEypy8s1XhK12Z62xeVvDBaLeyDbXYUdydrlIAmXNxBOpP//zP2cPrne+852qRWZRxfakWLEmk5JbZHqQB2Dk/DE2bxITqiyI7l5WO+wmN0kCXixYTlwASDRJbCoKQ66EEqEQaSUAr4Wt3CMCg/WyIllhftsDaywOlhLBIzhP2kLPqzbqfbyokqzVvx7/oIkncDRMZJCYeF5Laq9yUcEQORd4zjgtHCnmL5N9AqMfOCV9+9QHeaWrCFvHl5wJQfdsOlh9jg4AH26BnWNFzCruVvDLzcW10aXhSR68VYYOluZenhuvj48NX/LjsnhMDoEuIY6TYC73MO1W/JfLk28LDDSEFqk5bhQtIvXqbcF04iCr6GCwihoVEyoVyZVse1lCclxki2sCc2wocYGSXC1CuCwvVwFMSIVtwTWRk2gOuYqKnyICqc9h2nbkmctucgCmwmMMw3oEVZHTFuZVFSNAstoCvYoW0GMSU952exqWVv/4j/94//33s3cxqyi2j+HVIU+I+KVU3r+x4GETLDRsrcc2pOzdoM1OwbOhA5s4sBEXUeGafHOBxSb0Rw6MXVxYXwCNDldn9o++FALkwPBqTyskdpLQNsoUeYXpPW+YGfFNF6AkAqxBsqsWEag7eFdIxOojcqZR9HQuVwjAaBRZcJuJvfSG2QpBiSoEA66msGW0VzOYvC86PK/sr9nGGotOIEFrQS6klMwBisUYg6t8ECUo3/kcwZDDHcOV1OfcjiEhE63jSaquSZGlldZVzFAkYuDgSoM8SLs473zybqMJOnzkTtsgiUcWmYOroyMqmAmSXEVq1dJtONqJSavdXOzMdSYaw6PZc32oKtXS0FR5eWm5udqcHJl0hHkvxEyK+niY0KvVCSbir7lM65wIBjkJyUt86TXJ0CIOlo+vBJQSEoZrVSSYXiOKVsSxpwjBk/ZaK9x7Cs/FRKBFJB8+BPDGqF0U8xghE3w0RJbrSGjAToT+5wUhkfIB26MadVlRsWZiw1IuDc899xzfR7EzKAsVnmnx8zvsO8pbOKp4gsUSiLd2rMa0wGKfZFZgPPQiGHvf3AfryBv/+wPXv/bc7PpOrKPDtcmx2tKTn/if/6f/Tk+weGqlHweEmo3+tMDiA1ueUdEFKPm5Rz24Yrz+1V/9FfqI1DMDFmSs0tinlAYzdnnT2b/7HOgrSKD3Pa3stbDpba7KOhYxNg1TNBYkR8xop8S38XP5HUICKI5jyeRKAbW3RMYhpwQ902uejeECi+dPrLr6MqdS/umyw2AccjQp0q7kLNNRVi2nJD2gJ0a2HVDwkd04yJuT9YAMlwuj84nWVvmmuWoXhZXG8urwQmWkVB2q8vOtkZm/Ou80S+V6ed9w9vOpsWpAebW5Uh9brtVHpmqXMOxi0+LhljxgbMA4sgL7EFuzJQm+OFgaZgZjTtMGJ7Hh3hE40CTaRSti6zjLSHuhaUTlRL8hq/cUWyxaFsBFIdVActIeadrlDgNapINlQzQ0h6IE1k8qMhOyYhGMezys7rzzTh4PaVNiMGgYugxpm6voTpMtc6musOA3P3KvX/zxkde9YXpiaHaxft2hiYXl+vxy9pEXX7Vr8tUTKVHol8W4V2ZZx0JKSral57cPcc+RIFYpebBGrDzWImeJRmS6YyambDBeemMnk5+CXAfgyjWE3iPBb0G+pMQ7QswdiZ4N+CGH9IrWOQdFsq0ksMk9e4bsL5XOpbevCfAVVmSQkzgZGOe0XV20N9ugw+2DjpAcysKwwYCkgRxWtQ6BBJicWp43Ayi03WvKbMoIkwazjXuAtnAc1a7dChtfi+259sQa19MKf1vNjvDL9XKnPDyx/vs5QxOl+nypM9K5WL84VZlqV1rNcn2sNFnlAddWqdVuLfFUbKo5NFpj78Tz589N1aZr3b0JORw0jSQOirTLTbvcg2VbBFpknq0C3Gk9jvJnk5qWNAHkrh+7nUbf2z4bgmEQGsgpxiGLTaNdFMl7mdi2UMDWSQCKCKKVJsrWoERWkJJVte08Nk0eTYtAKuyQbbvbRUNiY2j1J1Sv6rmUkMgIfFBOTtttLr3wKFV0rYSo3HyCldWVN4nWbTrpn12gJ2I7WIddjlImkDAW849STPjKFZjx89+9qsdirgaioSuQJQhAsbCTZSI8uQXhVds/V2C+JvUHF9aOdUr8HO5P2RrLLaX/dXokR9AAzlVf9qzcUoDWSWCKW1rlATroPu7c2/R5gpU3x6lPfhriOZF7Jz7D2l5IeS/XShNbRwy0bsuJtX+oa8215dpchSe32dTIb17xmq8zMj7SXO3UVxpj+9ffFTaWS61VtqTmV2PXxg8M85Rr9XxnsjQ1XMv+9Cez7aZE4KnYQvlCZaw0NLK+VmutlBoLnf1DB0aGsq0BY9IRFw8yAjkNJKkqgl+JMi1Klia0wm18JbYoxqzVCbmOIFUcOHIfxwi2rCNL7uSqPSXQitg0xUbMFvb4KOWJjw7Hlr1KSwsxbmxSm3XLO9/5zvxNRoLbrSLxcRbZ3TYuVLsVSX8e9SO5BMAWbJjXqJfRcw3zcwLjVUsuAb0FY66CoPdBvspuz+N4p8Rf9v+0rrHoEx1Ech1HHWvlXLMvt/d0oLMDv/HQSN2u4vYOAVZMCjzQ3vb36bRCLYKH1SQDg/f12w5mDxoyvTDBKTC6mgM3eIeDXGzNN0dXeMSfMZRLzUarWqsMj/IL1q1mvdVe4WlWe+zAUKXKWqe08nKjU22NTg6xugLebpbqsyUeaI0PZ38eJL/kSkSyWJprja1hWxtePwqZF34ubb7UWuuMtEb4qEuaPjmtI+kgAjN5H5NXVhVN21OrLuIh0YdR2LJLOS5g1o/9hiwreHQEQj72AAAgAElEQVQERWsqgff4usTR9hHUUXGUGuwOGXBxY8MrIVzWnZgOlpqWyBR1uKVHrjGCpboScUdOXZa4Yu36ukpNlS81DNlCoo8h0fAERq16I5/LcMu+ghCMF5HR3V6Qt4x/kCCXmWQ6pZl26Vzuiecg5lcawyEg4SXmcirNgAHQVzzqw4SjySygieCyrtMDOtoejBuvy3p8lXjxEGX640EyCyzO0L3TuiTabRRpCwlDjiBt5FBq5uGwSt+H8/za6c5Ek8WLMC1WV3x8NVxbW14rVyujE8Or7NawWl6db4ztG1pdXquMlWtDNa2uMOHHzWrjpfmV+eWF5amRKd4u2tdKc3l1aKE82oEafDIghyZLnVa5XlmbXW1OD08Ttg3zgsekqqAixYfTtDTB5En2sob4PUodJ23kOOpQSglMSWeokb2Ebj+tzw/IwMhhkNzLCv2Gn+xf+0LuY9K/CtvCoagIaWMSUua465q8P/Meqe3Gu9lXMSq1kdx3eqp10+hhmUerKyQrBvV27HPJCinKCiyGWhgYJpt/RViI2BVl5qY7d2tQKtCY40VFu6NI9FbGFhojQVXOPe4NU5WLV1rgrCg8Z6603wH56VL36oAmhbBsjVUqHWmXzva7BBSa9lQ6NkeYF3oahwoPBglxSGxvMDB6NYD31JHdXltCP62L9A+JccuKjedhXNRhRrNHGqsxkIwNDwy1QUV3CEVk5QCkpzlcrSXTRl2hXUV73TMoG516pcGPzPLdVfapKFS8ImR1xSpqaDR7ozcyXeXrCb7HarWXR8aGqKXKDAi1sVKrUW6VWrP12enul1X64qo1sQYYQLW2+YDNhqzEMGwulzsjbQynalM8E3Ntf4GwSbEhWdThr0oxFyBi+nPuwVqaoFUXrSO87NB0m0lLSchZL3QTRVqabyyV6goE10q5R9rbDX8zNkfVbWvxU71eJrbda4ICLoyKZqLvHs/NB7RC6jCRc+Ak92JQX1ErNsGinBBSvBKDIUwKtbHq/lcRjhz3ydtLpytr5/Ox5jWQqJs4JZjRSO4gqpCVoi80sfiKk+mEPd6EwsO0jX5mjcVY4TnW+exGa32yE09SHITcneYhYQ3mUR6EbXcxmtAZvXwFz9u0axuMm7Zbx1GENI0vulhHqqjG6liwNNlJk7PB0U1iRkRQLo2L9qJaFyWQO8mQohkuS6BFJJngi8aq4eKvN7K/JOKdIH/TwRivDne322l0stXVxvdSrISGJ1gojTYaq51SZ2h4KDsZYuLn0sdL9YVSabg025gdaQ41x1bLIxkhKL6XZ4EV4Zaro6V2I/uvPFyab86Pt9J9tozcUqA5saXgtQTRUy4aDoCLCmnbPbllDIMAiEQJMILzLW11vNRMnaSYqC0iVHsjjxpLHpWvFFntzQfvxjKSY1vcP3mTCNtrso6gz1DCUwOdc1j1bkENBIBGrUBDY5VcK8Jr0szs1py4M9/XPVA9/PpBgug0V+vf+79L7WyGiqFDxeVHFyHxoKGb9BeFvM7g/pi/eIwmfdxhSK+JoQ/sv1VdVg/Q+Trc+RyeqByENrsQtTvHOtm7QphJsmJ8S7BmELY9jtG1ihYxwgmVCf0atg7X66ft7vUapxsHTlOVGgs3ReYyVaFEkx8k0qg3YlTuHwQlzKOwe7Fvn4l4fG2GhZay+Gk1mkPj/D1fNms36s3ueih7RRhXUdWRUqvOT2GM8IGWHkolQVSGSmAaKzwerDfHG8bQRcnjrsSwNlFqsPtDh1eN5eX21vtsJeZ9ijoxdRwFy9rbfRVFVHQFSl+c+vAUVsFAosq5BIGRxZ8vSk+uBMCCwNvIxeCJyE4JgxRfpFIFDHwC3obTa2VS2FiCUWPz7XWTd97P22gy8Tg2CSKRPk9IkCiTNkqZgN1ehF5rzavc5OxzbM0vQzyb7qY3HvjRDWPnv3Hh1W8++EPy+w4+9e2Ld6J8dPaOl5ZngJRro1mTu812C9mO4d5772UveTZt5+ec2V2e6xA/TchG8m94wxu+/vWvf+ADH+CPHtmVi41G2VuClRNNBXDixAlyPrBl/9M3velNzz//POc8G6SyTerJkyfpqaeffprdSukv9tz63ve+1+swOJKfbkHNdycUFvv0AH8vpvWBBmjMsfIUI30fHlexdwPfYx1s7ua7QpPvTYFPyxmiDGDC49wZvK92sTm8zhvwL3DjCMnLCkl6WsTGWpzIUrpdjAoSRc5BGo7AFfpaNXwX+7CQaq2xtlSeHZla/wvBVrPFwij7Gp0dsHI7wPEJ+2qz3FwrjaQ/dbHOzUxZX10bHq96ZUZXD/Fhe6HvDWX2onC81OjufoPTxnB9bm1uy0+yNqwv718dXNsQHodYjwc0KjjcSsKgpBjxyNI4j0IE2+paCQSjeOISkxaRaHVySdaYJ79W0e7cb2F7oVWT1Wry6AgTNVwdFat6yWIQp8idF5qI2bGphwd3V8gppTnzGIVHzoGmVjHbCsFhxEg6tfG1m36xtf/Ocn125Cefq84/k2furwmvCDeAt06c/sdTb15rDf/nk/ejU/7SyuF3H31UC6wNYPovQRMcOWssdjVlg3kuA2yUxRMslCyhbr/9drbC4rd3KLKpPHue/vIv//LXvvY1Nkt9/PHHf/M3f5NZm9/bAf+FL3yB3wBiBzCWWe9617vA85OI6F988UVtcJr63vNlmkCMyi0kykEaocPvQSDBg2NLBmaWXhsQbGnbC7DUPUN393usXr6uuZ5DpgmIbkRmUULOuNUh2PXwkhFC0RotsFTEr0aCi9ZY8MhBsJwETEO81V5SRdGXJS5FegYAz0/TSovmLJRmK2PZj/bQXo4pC8vaMG8QeapV8LFhmc3cx0pri9X6SnN4rGAuZV0FU2u1zedcZUZKJfv0Kh6jfCdLo8djvCgkERWfxrdWW4f2H+qFz+vlJcnt2kJiqIGhwYxMAukkMMpuz7yCVx6x1d1Wpo+v1GStupCThmMSGV5xspqcD9utpuFqNXlsbKGhAK7y4MnzX0ONwyuMQQ0nd8OBdcpDc/f8bmP/nTJpHL1v8tt/WJ19qpChl7JgUnj04qvqrezLyv2TQ3OLDQ+lnywf6cWCng84WAyxwTw/1sO2okeOHOF5Fb/9zMMqXYq0ouIpFD/Ww0Ms1l5M5WzpjhVPsO6+++6vfOUr/MjiM888w1KMJRrPwPhdHbalv+OOOz772c/yepFpnTvsPjHsepUGmWgl5/PolAg5kMnzZwE8CmPx6o9Frd9jzLsi/1e1xnKPcUy1WmWZRWL94SWIMQwYjRlpVLTGArWwxaI0soqDR2OGfNcXyvhi6HJW6hmnXBfmbinDiYYTNhGiVGyFJq8IJZuqt8qN5lKbP/5hRUVzhkZqCDy+6hV/bZSNFcr1pU5thI2e16/Em+CNK3GHz9haHXaB37/vIN9sdQ9oNrN2JUCZgn0f+L90lKpTpdnTyyvzK6tLq+1We+bAEc3+9DYJnPJNX0Hq8mfljL8bA7mOjooBe9kiYZCY6xRA5uCna8nlfkvGc9bv3XdPEmg1gtuOcNldeVUMCBI/zi30cq4WqTnkShxxDJWiIbX0kjBR/8qSC+NvzNzD6qoxf3r5pcfazbUDd3+wfvuHpr/779w0rJD7N7/M8yHuQcEN3f6h6v7bEd5/3df+6dR9zAa/cv/xpdXWPz96VgPnwZnHHjr3s2JfffSP+Htiyc7xx2Egh5AjgV4aBPQomYuRXYtSFyTeIT766KO6RKEEQ9Cq5TRGVg6bGAD0T/JujIeF9EmtYYUCTtErt5AobciVqc8DAMOuodD/x1V2GNhkp8QWWbv4d4U7jGfn5h4qceQwIDUOXStHvuTohEKZjBMXESRvL0JsuT+5QttWcafEU+dtBEaf6OT18msbJFfZhD2ttHM6fzS52Jlvja6uLTXYV52nVqwWmcNoEWus5EAnQbLr1dp8p1LtHDg0rVeB7Y6e7rD+bs5fnLd5vbV2/Mj1Y6PpC8XcugwPZQ7xD7/7dItv6Lvp6KGjM4eyW9zu2NnR+BHhLub0kpI4CY5zhISwi172JhUHl7aTK9FkhCvaA/CrK9Zddv+xxn2uMKRHKb0EybvSn3hx8yOhHL2ix8Daze9fufPXON/mfvCZyVveUh0/UF0+N/WV/z02M7adrlAVawDd/VJb8ATrq+df2+5kqxyGzb994HpOEdZYFM/V90XqRObelz7VpaVwGWSlBRgk82WVnvr42Q/XKtUq6JgnfnsVPYYkKOd4g3dVL9ufYr0HwZVo42J3gO2pd4WxvchONB+5fyfEcYKsIjmjiHGuYp4hO6m63xdeiSdMcgczZ4ri7xVGPrABNcRPA8mNx9EgXrysxFbhYdWno8y/pTBgAHmePobEtsyv4EyudeZqk0PTq+2V1mj2JUP2V37tcqvOQ6zsjV72vdRW4yTb9Wq03FjpLM2uHjx8IOIbpcZ8ib8kzBIe6djZuQv5BVbBMqTTPn3qVKfETez6gQCj21Gx7amcdpFiSJwCzOEeRbSd4MlJEfZTINOi/HFhDNB23XF5PIBURyWdYACCU9Iz6NFEQ2QlOBES/FUr4jrffLwTsHsgCUadgPIahp2EVFisLjyPfu3CC/XZk2sXnh9ngTX/XIJMhr1quTVCTw8wDRYssN4+871/PPmWZidb4py6sHbjzNixg6OnL6xO1tZ/BzrxISLNpBoH5ImQmPQvqt/JdZYq3D1+MNSivR/klY5w19dYGkh0bxxRluNAomkGo48ttYygU6LwxIhsfWRISL0AMHMHQyR60cZiqBAMoFDfizbqOdf4m9xtm0eqvMy7eP4SIm5hakeKecvI6QESzCA5hcmRmYULJ+J8AHmNA8hX9df0Mmy2GkuVuep+bvAqzXKLP22udso8kW812jquHF72whoq16ZH92fv7zI3Ha5j5EjrD6gYSxS7ldWJzurC0pnz83wYNzm9+fwPG6/iW91H/ksrS41GfWho/Vd0esW/uLg0NzdbriqcDBV3K+1ltXf0Xm0rJMZAcrnl0DAeyEnGWN47DdlGJBrwnAIITvAgc8XVopOWqgqhe7pkmZqvbtmG3z1lQlt6ne/JSFDPgLcJwl5oS+3ik8On/rV0/P6Z+3+TeCr1+dFn/m7AwGjj61//+ieffDJbYHGko9mXz/2MVlfPn1n+/LfPLqxkLxBJ9fbmlnfsG1Pp3lppkc7pBOOrXvUqvqC65ZZb+Mnnu+66C3Z66rrrruNdBt9jyQt/DwgVM1p0ijnfbPG1lh5cdb1lGUp+Vfqpp57iK3g+eOcPDLGCEyUfywNgUJJryGYG/y1t1QPqsa1QO6r3GivbuyGMLo6dEuwIzuWMwyqlixKcAyBR1Ewk2bV7TSA8LbO0wmCEJz1/leOnbwf0mCBjUQzKdbD6c1Lrx3j0g/98ld7ob5gczRhDvsoaYE4okfGiXEVyNCut5cXqhdo4n65nD4dqI+XWRKe+3OisNdkWIXuCtTEdshg6MH1wKPfLgFglqVGvv3D+pcZy9teV3UXYOgVLMZZgYmSjUVnNzs/OHMx9z7rhFAxGp06ezLqowm8gcgXO6jZeOyaeN4tu6aZqQ+pTtQHZtX/xBVdyfClyuY1XXGDxERcmnCAAEsNdC2tnRGoUeUy9KNUE51s2Sv0Asy5kFLGlN0h7szd6NXxAvZqWB9N82k4/JFXqDXJSUnUlioc6laMlthkuvVBqlp7486Fzj67d9L6hc98ZPvkl/pZwQI/8rR7bIwBm3ksfYj1w5Lv/cOKtrLEe/dEldKOVbNsjJeYRbshYjzOB6rSh1yBlg4YHHnjghz/84Z133vnEE0/MzMzcd999/Okfn6u/7nWvw+Wtt95KN333u9+l+PDDD/NVO0ul973vffwtIS8KKX75y1/mzwzn5+cfeeQR+Zqenr7lllu4pebTkJtvvplv4W+66ab777+fD+RZJH7uc5976aWXNuK6lv/Sk3EGuZah9PadH769ses1NkFwog7ZthzTWFzja7xOiWvIhU1INueSNGsg2PYaCsR8RSOBXCsMzhQSC4tdGSE6CvTb4MEPjoRWv5yjv1KUoQ5uJInyIEeQtgvGNMqZIsJk3SmlWue8F7kDcyQIpDjAIEEDg5h5cLXYmeuMNav8hGB3dUUNtcPjZb7F6rSq9dWV6sZ0yIKGK/784tyhA9neNP3T2TNn22UaWF5b1SS5Pry73jMX7ewr9/WXaAtLcwf3H+LvEi/hDCfE7MXZ5eXuJg0gQLU7o/uHh44TzOxkuefv56ilWKixFN18V13i8coUCn05EvsE5iEhpa6vWmRIw8mio2mrXRQIKSaYKZKr3+QoaQtFElGR72IkEJISQpYaPk0cDL1x5TokCeDqF9W6vF+GBElHh1ofJo5CL5M8yYCaWzvZQ+MXyi2mgde2h35YaZbOfK01fnzk+U8zNAYkAcbuVPfccw87T4V9sDas/8up+9519NHnlo7fPH7mxMrhmZG5+eb49NDyPfue+deXX8ff0zAO2QiId+zx9Qet5c0Cf/R36tQpmHivx5ZXJDzxWIuVE8+f2GpBI+n973//hQsX3vve97IgA8BTLlZR7373u//6r//6gx/8IGspUlz58QTrscce41v4T37ykw8++KAiZdMH/tLw2Wef3fKPnjZadmX/ZRAkU8aV9XeZ7BqjjE6u9Jh6vCJrvkg0LqrWuc5wFfuEwB0A15MDu/pbOgp7S9d9okqqdkJF/wxurmUWQ5qxSgcWjpM+hLEKW93jui2x1sr+gkx6GRInW6JogSWewVtqv5CTPOqst0AtryNhpjnqE3khJ/UfZtgOEhg8hq02l1eGFyrD2aelfMPOGbAZCbstZB9RlWrDIzx5pAIzVlcA5pfm908fJEKD8wJz3cWLF9iygQdO/LlfnIb5mxJF2tx4fIU5TWPdxrOxPBUaZsjTp7MpVIn9Gqaum5w8OJH10lBn9vzFqco0W8pv1F/yL93S7bzNVqtaeuWXGGxVUD+7G7eCr9fnrQZhoFtI0QWDJ1lkZCuR3FpEJnKq8UYeeaJMJO4H9RWEg4QXSa6C3G3ooKsuwG7UVYjtKrvIDwwFQJM50LqcodEAQOBoYtJrnPQJnjN4vFR+nh+44k/xSqVnK81b2tVsjdVjaaUAyEmRltmeAFhdcc5u3K+F+tXW8GdP34vi6YUbgrr0xbN3c9f35ltLj79UWuSNYX3zgRYwfPAq8Pjx4zy1YmMFnjax2GL99OEPf5gnWw899NA73vEO3gzimGsMvtnK4Vvf+hYPotDrKyteKX7kIx/hORb7OMQ+xdE//MM/8FSMrRx+8Rd/UbaceGyIxSqNZRZPyGKcP5Vy9yBuZmqjjqtmB8n5tnvuQCBxyLlCI+SRu65hkDDwjvB3hZcMv4H80JzCIAuVAzHuNmgbkWhdxSFg7cII16rLcUE4SKtZ+iR/5dfH0OSJoOD7GGaX8+5f78pQ1y3CIyVUvYqQkyCR0AsmPe5IkAMuvOCpyiTAJDseaRKYMMSw2J5rja+xtGJZlW3IHlZXwrDAaq51WmuN7lKKRvKaLptnmagXWGNN8WFDt+FFrT998hQuALPG4hmlCMk53OfPnZvYN878LICr5hdm4XTwXf06NSb1+pqQo5OjUwcm2PadzkHDM6+hfWWe7o/VxyZGJmhy0l53ix1JkL5XrcGOx0gLxuSFJAYAA1pFql4m9JtWS4qNq6kfrKIhMVrAyJychEYnWuSXDB5AXv9K0dA0UhItYyO5Z6aN9EkemRi+0os61oXNdJ/QxnjQ6RZSrzEwViprTZMNLNbofEfbrvCD7I1q9lQimxQuHTxZsdKeufvC9I2L7Ubl3JP7Zp/N/kAYFx6Bm9s0VK9/R3Xy+gE7vf70f2QKSsA8hVpcXFQD+NZq5zuC8q0V+0q/UtZPLByTRWfsn+4hy+6rsoN36VWKIofKSh1FFzGRhjymSD64vOU2DQpmcMItkVOd0ljvvRv6uOtT1d/ptg3707qWEY4LkjQIHBfXJkKvWi4b3CQAjo+BbSvyQtptH8G4SHLw9pgIuOZcZtc6xaCTGplkW8tREI9bbSHyR6XZDPAtKVOn/LqqUMgzCEZUCGvN1eWh+crI+gGqsa9Vj8cbKwtrXJk7jWwFxvvBteb63/Twc8s3Hr/5Ui+bi62lxcVnn3lGvtgX9OD+wze9av2+lIXXyxcu7D80zWYQvJ1Mgj96+PjkxBTKuGZjAnn6qadoeHWoNn1wkg0jmOi7k/smam2BhWBnqDk0NTylqGJsiiTx1au4pSGAXoS2TQC99MSgEai8V0jWQ6sUx0ASD0UupfGAYqJhY57+QkIYwX2qIqyXvEPzXrQD6tUtxGA8PUNPxs501X8lAr1BtzDresAwVFBSVOfQQa9tVp+rZk80SSPt0nSn/Gy5uXrLB0Z7vCK86YHzE9dd5PZsbak9NlV9/qHjWmOpSyHffIJ1/vv/Obml7tPvPKaKB09Ibq3Mu/PVFVQ88SL1CeOqVdFYJ5wiyzUCR0IaXS+RrRFGmuyIddO1HeKE4KgKhS0BhVZ9lAvdrur1HAt37kNIoqwqlJcb0rYNkwCSRumgQ84JyUFU0eHFyKOhgretq2Dgaope6wnueNC41k3O06JhmiAngVduw14ChEr54Ye+kIeQNCEAwItyCfYiWxcdjMDSR6U0iZXNJXgWopl6+0/MBJNY5Wmtsd9Gs7E0dLE6sv7CqJr93E3Pl0f0ZqfJI66sN1rsbbWRMpKVpYnxyfVzPtN3T6LsLwg7p0+ddmDMpg6+vrb28svn+WoXtN42bvCt/zu3MKsFVjwh2YGZxk7snxifHuPw0qJkdYXx8ER5rVlqVpr8FPTBsYP8dSEm+HXTsCIk9YYER5jEkOhjB6rK5ua0CQIe0SvBjJDwJ0VMdCjRi0cmyAjSyERF566NGCH9qMCGuoiqSI5HrqPR0GzURj1FqmSIPqmSvk8eaYFF86SqD8luVdFkUmQjBo4XF6nYRgD0DylGG61eEbKaRqg+BZDVTLXLMkVmXXJSbBqGJGAnq+1bW/yBcWmI5wKV8g8qzUqb596bM3O0qo21D9y2sLzQeeH77PBSuvPNYzOvnYsLLMCbCywK0StT0WvuuuvIxMRz3/v+ST7dDLN/9PGKkNW/5ErEjODIkWl41OSLgFGS4likaBLO6vyYdu3eEWLMVy0q1lh8mTLTzn4TOp8ISYeAqiQ8Vbk2b1tYpUMpW5skzIWGDqCwVgwmN7OEy62FR4kRhcDrdRiyqa7oRAOg2Lic6IoLOJlAFYCjkoljo+gILYjTGNsigOcDKd7d+0usyJA3sXf5FdgmIlQVssGJLFrnNJY2Ambuc6u10kJJEtJerEEvX7yaA9VusIV6uZJ92J4td3ol8wHQlgpGzi5cHB+bgFQazx3zc/NLS7wJX0/UZy8Wu3GdPXOG4JkWso/lcw/7MVhdW1ldWx0dGd2wzn4MY3ll6eDxA3yDL2W8HBrW/aXCcmOp06q1zi6fHee7kdFWa6IxsjI5MZy9N9SaA4FOUD8oN4OqYndR1cVekhnfS2CsQqIcTJ7QjhSAimJDQ5GkooVYlNJVkSSpkhU5ejXfGgZP0o0ErHFljAX7skZOKVKlmJEtGCZALEY5T+vaQirX5oXLxZuBGGg1yRoE2Nw/sYF0EalP2JHkyskKj5ykaPO+FKSi9cjPw/prus3NVlFs+Pkynw43KqvlTvbzJK0Sp3C1wp476189Zu7KpepYY+TAysTRVbYXnjxQbTc7N9+dncgV1mWXpksWWK46PDT85ptvXjl69Aff/36l0/7V973v5U7nM5/5jAFXWVAXx16WrDCijEYDxRHqAJBLiONGGiN3InAU+r8f3EVf246TGIhzS3P6M4k2aqKcp+pV2/+3dBJ3kVZVprUgTFIblZZlQo7GjiwIls+Ftx581Oh2R7XonayxYS8BQqU4NXAlgJlJ0BcJmGEASY7M+0HWPa7tRS4T2crQuQS5RlYCKRexyFBhgYU7KSMADUXzxyrLqo3MMullKC8OIDqli/S0D6Uvlih1tbDHaCtlmz1DeSTVLrFx6NTENK8H0PPgCWQXkH2QnhW7Bf50p8vA11dcWi65Z11bW12rsxgakwtNogRw5sxpaZx3ypktf+5z8WL3T7D5SCh83m6YhLn5C6Mz10mmq+eXZvfNTPmVYbYVTo+ztTbCqpFGlcpD5aXWIkNmbHRktbSwPLu8b2SfFqPqf40uHwsHEI+LlFnPdJNMrIwmlgsFeaEKmsI87xSYrWyCkE/RVvxgbGtN3pDmkKzHxEsKKbE1Js8TNZYRYjwmRxgkpIg3pw2ptTIiJeerHImFvFUfjdoeaeHJdxEAUrI+60Pbpwr+mEBSNB4vKnYdZhkRkgNQbuTOhepw+/DrFoenmo3l6stPTpLDyQr0fLk7YLrnOZMtrS6Pr4wfXhs9WMeE8OoLteXzwxeePDx5ZHXi2PKRW4ZGxrImLPxkmmnTAaMpWGDx+u/BV7/mU195pPXjH7G11Y/Onv3EZz7zvgcffPW+/U/NXbJxw4AtVG8CVsfFXAzSSKYTk6L1VDlZKWGP54S9FyIkDM6cLSMB5kOgyK1BkExeyNNLD5g1FuN38H3eHYMcuSghOopyjMp6TAplwJEWWcWYC2Nz8XPWcaWXTFV+gkYpEmH65ybXCyZOUX8F7yoY5CjGFmvtAoD0sTYJJinKNm9IJLSUnCqSXSDEouXoMco2jErJ/W2pBaZceC8uGcm8QERJYgYklxcLWRFdFnaHVc7yyvLBfYcdiYWsVd2WrZbrbLyesYX3g4bNzc+OzqwvsKScvXCRVZEBEni8xNXgzOkzDAo0RF74flDgbNPRZoM/CVxkl7+1OVZLZuMS5wFmZRSGxsvcN+OERVh7tdQabdVGq/WJ1uzK7MHqQX7/x7O8eGgXGjqK3DzufGnUdVEpWXrltkWItSoaExeblxMAACAASURBVEmstBBJohIrilvaRlhiDnNkiLWOkE4gOQbYGEusSq3BSn1ljW2tSZgNkN5NkJAHm8dCHqNmipk8D5Ct9RaiiUkETvJo4iqUSReJUL0kQuUgSR5pKGOSlWiBUYWMoBwrkmslXM28Mty5+Z3nFl4aW14aYre5G9728omvHqovFjyAuOfco8dva3xrtnLue9OtNZ44OczW8w8fuekdZw9ev9Jplc89MX368exDAt8EgitYYH3gAx/49Kc/zYxF9bFjx9g1lE757L/8y4OHDvuHpJlzSfKjjrPPRHCHokd2Eoxigt+zRZr5Coq2sBsZ0D5qAPq0KN/SqIlyoaNE6VNrPjvFyoc6nQvhZ3ETNkdVqHetBfuSF+eJYFgvAXdOYJCdi0oayUxAKka2RBPxSZWtHGQEaHZjOmOZhZ5Vl2uFT8xdlCAwSFuhj3JCIitHYjZMeHylnya0eaGtTVxrvKusAWOZWuRC1zIUUrkMbateQknSjEYVSs/aMPAEq8tT5pXf4tLC/qmD9KqYnXcPc1bK3uW1W1xsk/eDQi6vXrIDO47Onj1jEgsHDx3ijwMWF9d/Hqe7/VXq0WAC5s8JJ0an5pfnKtnqan0ypEXxem98FLKf8Rkv1xczE9ZYq/ON8YPVIT7ParXPrZybLE+ODmdbYFBLqDKElua7r2itV6tmBiMZW8kiSfRSKretvaB3lQxtDsZVhYZ5QLRVrRjyPNZYyNsWOtVYchW9RNL3f1JCSHeRjLEeF3Jnp1RZtpAYumhzayzY1gJVxlsw3kKsirbR3OBBBAjpEJBmQ5CSnCRmAegl9We+uwbxddUwM6+dZ3XV5rNL2tUuL7w4euiuhVPf5O+F0/TU8ulbH993W7n1eLZlQ4mVuP9ipb5Q/fF/OV4bacHQqutMz1ovCnqmxpmsvlM3UXH6i1/iT4X5M0A6kU0T+DqEeZZ3Ewfe8uYj3/wmmy+AoYqT090tuj2e08CdBNzHdofMO+m3/q6TWka8jvX2PMKGofshIU84VascEwQSGL7HmuqU4/dY0ptZYIpdi/VTVxjnjiFxKhJqST69VRRhgqcKTuWuomhZgjRCujYqgSm2xJCi8TJPANTK0LUqoid+dmTgeOlay+lG8uGLtOaMSslmMyYJSUXBIgZZyqQqujAeZQKLRZsI78Csl7lyYaK5vVhQrczJSXo7j577B10XNcWvvw1k/my3kBeX5qezDRd6pIyJH8xpd6rpdRQD6vgs/fDB9U1HmSH9PbvpRkfHpvdPP//ss4ClXFuqr87V2WehMswXYOXqcKXcfRpok4XF+Wqplu0JUe9QlW0+ykYStfUfmjSsUKgOl/iPF4UkjPiZ6tHJoWzV1S4tthYbq43JkcloSFR0C6Mow3cvmeorZAYbiVpHDkayejspWml+wMIrl4tYKxnDvK2qbGirXvrIICs00VwANFHpABJ+F02LlTuKWvQknYkI4lSPZQ42jnXkT5SFLqQUElpjoj5RUjSzhcQWvatk7pijOTJ6JxdlkuQ0Fg25yBP+BExHQcuZqEen1MrK5gm+sAhDfy+FVpel5Heo2s3Nmx9WSLXRghMfTk7mz1bXPtAavbFVe2dr+IZ2da7c+U+1lX+urmXneafUXC147qVgakwTOuXcnvrCAqOJLRLQs5MnGyWw2EIuj4x4UU9n0QWX1Z5rDnYDdz0ShpSG4K4zQ7iToRabDA+zhka/49RBBGbBVXkhYRNAhhEsmMF4pFYwctIq+4uwz3undHFzeEeCdVldCo8FccIAwvwULcsyAZg6b57YAkBDivx58+gucsrQeAkGi9xFw6yxXwnkVJF0IWe2QvAn573M0ctQuWAizJtAbiWCixHPzRXrPH+JJXwW1oYtYOGtEUZKZNdaI4CrEGTbiyHijYlsNmeaIoFnfmdhOlweWmVhxYWh+3BofmluanJ6w/CS6Sv77KrTGR4Z4lsru0uExeWFA/uyTUfr9cbL588ntZnTWnV+bo4PsFxVqWbfZK3MrmW/l0Mq87SpXOHbKtZb/DfEkqs9157NtuYixCbX9dLwyPD4SPZrhllA3bA5AzYEa9YP3PBEabXRWV1aW55bmjo6xgIrW3WNlFpr5XqlPrs6Oz2c7vzuw8FswJmFEzQkzlOmdwQ06JUURhZ5N6l2o7SpRKIq0auYNaKbbGtNxFNLSkwMUJUNLRiAYPNIklfmbU2eVEVbqpIlF92VrCHUY5EkMsSoJMfaaKVa8jxAGsBRyNtSG1NCZX4EbJMUawtlmKWXgHkCox/Q0F1Rr+sOPWZz+wWfJ8lrItuuyKyo+ESdZ9Zio1nNteIxDIAmfbPS+PPVfWwhyknCZ1b/W3uyMdx5uKoPN3tGVPCK8Lb3//JX/sN/eO655zDiV2seeeQR9vNEvvjVr53MfdTZk/inq4Jh0eeQd+fcfh3d37x/V/XxiyG1A5KD1CgvJJQyTyUNOUlxSlbeP3KFp1z8PpfOdzrsj8XDhLgHKZyOTe5cjI4SpYrCR1iisRUCVSQEkkwsmAGA5SiA7FpfUpuYJ7byJaXyBB9jsK0cKQfA6ornNGw1x0Fk8iIlJCpGc6xsHptgjJXRFllF1eJOSxaDEfIMUSnzSBJrzRNJJJNH28gQwWawkNRiyEiji9gEiwf6rc76ngt88LS8ujzB3wNmyReG9UPJNI9ubYVfqSjzwIlc32bZC5zZpqPTB86dOQu59RYWZueXLyzziUaZU03G2c8J8jdHtfpao9Vkls4+nGqzL9bqhnm5dOD6Snfv0y5Np8SP5BycPox70V4yztYhWZzd6GloZ3bpxOzpbH+c4bFsVy1S9nkWb5V5PzrSnq3PTteynd/dmRLU1cgWaJ3MybV0UK+CobE+c2NXi0q5bSVEmDQRHGujPpJETC9O9IXmtnVs0lhvRwCMsVJCod4MGmAqgkTgkOn1q82FSWjNEPUoRWIlRZKLFuSIXMl6C7LqWmdngYsAMCnkTKr6wECawYLMyZ1ilZRo8r1BjyWdBhgYCTzJhFdCOP/k9M0PnJt/cZTPp/gGa+qG1RPfONTH0XtaI7VS+VRj7aH5c8eHR9+z7+gHW2PbWWA99OUv/8Lb3vb/fv7zOONrArm867bb+IUsWt4nglduVf8hlW8XeJQaAZLzmKjpP1Yu13tkzssJW1LUmMYKvVOeJNEofnIJGgYqQiIlQmKVLwopPe8Ks98rDL+lE2uFKeQ0TLUqWmmniW1SBBbNbWWePD4JyQBMkG0IzLJdGJyQRL8ika0NIxuyH8/wsIGjkF/6KJhe5vYuX/YuvGsluBVcNnDERTcB2DwRIhtV4jGbawfRiDky2JwqyeROVspkpVNlUMaP1nnNNz46Dl7M3Tybx1nWsO0XL+lqI5XFs/ysTpsfK+S7qPVHTay3si8pyvOL88PVkdnZSzfnW78QcInlh8xYXpXadTbP2XxrgLvpqX3jo1Onz53iHV1wTe/wc86bD3L5GJ+uXlpemJrcJ1jRRSZb+XUbUGaTiMWFuawnKvxq9frdMo3jY6z6Qtd0uDTXnJuoj48NZ3tMxxQ7wbL6jRUVSWCqOPQ8DkSglkQVObW2irSqUh71BidV1hucZ5Br5YYhoCFFTV4WIHEaYVsyGAxJwhOLnI8kNBCSa6b1S1hIqFXXRSv04PPJTgUgxyomHwUBqIomlmGmilwM1idCNI8ysC1t5SIhVNFVCadqUcZWSKl+w5Bkzm7X7uaqC/J2vfyTLx+eed1CpcZjqeqJrx/igyp7zAsHug+hjw2P/qS+dP9UthSb5BlY9+FWHmxNdk7iTOePtE8//XTnxIkHrrvuqXb7B08+OVqpPPDzb7/lrtd87GMfs9nlCrgo7OIBeXZoXugFTvSOKikmJoZJH4tRTqx2UuzTZIUKuQRGpGTrE7+mYu6OEyWRa0YobILYqJK5SRJyFwtJFBi5ayPPXLnEZSSusfJsxiPkeVCSTG5zI6nl2Q9XCF7cJL8wIwwAW0UeyaqNeuNRSo65qFRlBgTJdmQSBFXlSQCjJHWt1xkE5jiSOO75ZRb4vBesxOPwxCNwlG0r7yryfpAbLT4VEFK5AS4KnARAbdQIQx71YhCMXInWIRhmQbaRhypSMlNjC6bRarR4gKXHPV0b3gCu1fmZxdHNbuoGw681D4+OtDsN3t9NHx9fvri2egHrUmN581FT9mpvqLw8utphfwSeTLE26i4zMuKNqxthcNxq1c01E6uuA9Mz+6b306LJicmfnHhhZXW5G0tBprXg3MLc5IRfZRbApOLkPXPqVKfCko5Pz/jmhR5bB9eGS21+/If3o1k05aX2cmOlySdZ6hbl5o3FKBvAYLNMKzibgJHodqq63b95lNEbHAVgKgpAUQwRg4ySlCillzLWmjPiBYiwaB6RyAo+UQqfkBfSisG5eQBjzmAgIZPUb3oJq1mXbtS6wZOwgsEEAZMkAJGjT7wk3gWwrQQXo21iqKrEPI/JB2byGJvYXKVikudrRc6gSrzQeySUJJOo9yBJeIRBiZBU2Vb65krl1LfW72Rc1Ut4stJ8L78fuLr4P87c8uPVxdtHJ5+pZg+l+6fsV64InYtQDOVHS0vnq9V3v+99w/XG0w8//MTjj332S1/ME7m10bYQ1gfQpxdMNbj5IGyiNWehSVRG2SFZoNZyodDHXLbkSUp4qHW0qlLROYJSNMSKInqb845JD7FRRmShHDGiUp6AI39SpaJ5YjyuYo01XSrPdDrnK2kbjVH85kGfxJMPzGCdhJyxTG2sscgZ7WLGSobkwquo2phjIgC5BGot5K1Ma0eRLdqKRHjkPJUABMCHUMmxo2n6Cp5GwcnB7RVSEo+CyYOtidHKVj2QDw+klTI3CXpkchLm5AlYGvuyOQLJM5JhKCODDS0ICQxBYI6SflLQGAQeYh0ZOeYTgLAWFhZ5EjQyNrK+Z1W5NH5whF0Pls6s8V3Uum22YSk7pvMUsc6UGQklczjqdYYZT7o2J4Tx0emZQ0d1gIDxCd1NN978k7PPrcxtfulF54ihe7+Tzdj1BpuQLmdbm/ZN7BPB3x4B4XPdobHNHbplNDReajGpa31YLs2vzdVKtfGx7DlW7CJ3r/SyVe4qHX0psY3rLS221AR6gMUBeSGJ2SJ5ooScFM0jeEB9ngEvhUoIkwDkIgsihGFM5EEmaWBLtm2M01T0jBajsVYXX5mTUwUsz6Mq9GaLJMgAHLAFKW1rEwEMk94MiV7ktkXIA1zbqyrGAEbFQrCVFkTOoErGFXo6X8kBIAgp84QkwrYh/0u1/vZq/efGprG9cXj8TLn172ubX1v2IsxOS6Zpqok1gi7Oz//d3/1d1FhWB7nX1IxevYZ+d9vpMPKCQ8pX9dEMEl6fVtBvnBVyrRwNguQ+flUl7+QkBoeEaHVZPNEQKruARPxi68UpE4FNhTLRRHPJUZM4VTEyODBZZe8K2/q7ws0rU/SuANDY0ILJIz9KMXNc2KmIqxpXODQa4aqCwSQSxKBae5dggPXAIBdhrDWnY7BJFOwFvPwKH82NF4DZeXw8uzraVgBMWFoh82ySeFiXEFgvHnPmeRKNGSTQh/SkAyAGp8hpWVbONeup1swGQxVlA6IepYsG2ArBtRKUsyjyB1gGr6wt8zkbX8DrNRuxnTtzBny2pYKfRPFJ03itdmNl4cxqa/mSFYN5otBoN+ur2accbkqtOnzowJHwTX02elfaSytj8zO375s/X5t7aVEb6mAkqmbYknR+cVaLIVoWHVluNpreJ4IF1sgY2zxkSDeBSEYmKqvz7bXlteXZpcZa48DxgzLXuDWVBfehNO5nC9JHGIMtmrNi8HdIVJH62LrKhBbMiQAsIpENsz4G5tpIUqgUeR5G/yhRhWH0EovoGTz5NsrKtDZXDDESmRuJEDuQIrbiF4m8RwZh7CJSoRQ+KiXnGRJMNCwkTxgS81jEPGFIihGMLNeRvxcefVzri0cHDvPIoPkHPClxt0WxUmvuv6szNFnmTmvumf+jdPH+1tCr2rWzlfYXq/X59V1g+nFkX1eonlcABNcPu1Hn10y0wRFb2ECt/9tLb1gfgPijF1sVCqaKnZsgjZFeSCntjipkH6qEISnSG3oJJRJy0iBnXXRnTmwtS0AjZKKniJ5cABXz5tEqz5MwmFN62cJJirYUI63kaFLII4ZCnlneFfI9Vqt0JvsJ80uuKLFoOQkgi+/SCB05KwNm/NnZWdZYJFYJjHOHJxi5GSRbL0F+ExcOxgJgxoyo+vBEctmaAYEEgzFmY45QAJEZsJEMQmQay4DkpGYECmlC08rKbMSMRjkmrjWzeOCHXCSasMgjxjIMJLuzXgJVCAIIE5HIAhRamcEY21oQuZC8H8z/TA3I+aX5Q/sPazU1PzvPo006IL/9Fe8E9103zgfplfrw3Pn57I/5SJsHJytlu2fV2tXx7JOrTnajSvPKU5P7Dx88ysUyg3ePZvab07X58nhLq6npmYnRiZHzz801V3kbkvGwMOJinUndxLao9UZ9mFVg4m8DcO7sWR3xTFEtTYxNTY/sJ7SuO1zyv05nqHTxpZMLL69/R6s+B66Q3IfWZFQbAyARZIISwXLCgD4OCZrPGWenjMlYG/mRSaZVUTnmpETjYlKFPk8SMcia1U1uKgmYO9G9yAnSGvRmthBJJCfmICNDUktRZ1a01YLVLgBwaic9mecxgw2tUQNdlOCohHeRWsWc8ERAQlVYTMzBJAwJIKkV5yCYfAdiq4NOHmMTEkeFvrrIcmPmTZWVs/w9LsXmgdeULv7gS2sXv7TVXw5GL5t/Rcj5MDW1/ncotKS3103zPhj1RQQMyLnJ3pXEoxwFhGa2kJgIRg4gSQmSWoNdpZjJSfHuwQALmIMh90xH0bV5IalVUQwCS1MYVZ4NTSGhzCPetMkIiwymQkgYXLQQDaOjvD6aUKtiopTHOf5Kne+xOvwaVHEf2jYfYYyBNnr24fBhBZ41B78+fvDgwWS7ARvGkGDAxFUILkoQJzIpGhqZZzAbJsiykuyq/kpqSfKIIKuEAaWWVlzY2L4uf0mzVWSgu+CJlxPBjHGRF1L0pIrkBiRhUJRGAMkRjyylBqQBZhagF79hAISBQYKrxNDkld4lk+p6/dIKm47uZ8bjUqWN/Qgoe5l4yaV8Hcy7wv1Hpq+75djJZ0/PnueL8vXEEqZZalXGmL4zs6Fx/lSwPTI8xjvB+HaPwFhdLY1erGz2XNZ1Uwcnx6fHzzxzXk+wuG4m/cDe8TOHjmx4u+RfVoQXLvCbaeuJJ1j8LjcF4uj2Q7cZvBbMfiqRPzBc74JqJfsaJPEiiqT3EoyKwiTIjRA2B4M0mHD2kczPQoGkIkOOwWlbY0zeJwBbGYMV7VJSLVWiMgY9MgnXjoqi2Sw4BjRRFiDRFDIUGhbyS1lIYke+uIgWPeM2noZqESR9eJIqkzsqBGGMjBhk620iZYS5ymyxNs+Qx6PBhASYPAH0Z4hgyyLRFKfjbhIGDD0pj8a7M9G0Rw5kX8JnnwVkqbr4Ymv6ttq5b6uY5Io5UVLcXGDhOB7LPNQazhOCc7FQcDNciyYGoZbnYcYjuBYwHsmVhEE2IFpFGQBdRkIgxSrMY7FQxqQPzISGJSGpmCjzjswTqxK/LhaCFYCqIkBWtkWwbF/GU5VnMAwh2kY5jzGnBWPkJZpLJl/mr5+6+2P5N6GjuWMTQySMMjCGisA8vuL1N1cj1lXdq2mLIjsdgI/M0VxVCskYFQ1DQCOlMbEWpQD5WlkJ7DgpgiwEi4cTkyawbIpeqEpMVCQHr8+zmIgZ/HqHKNsYABoVZZhURSUy3tnV3ddI22IlQ+FjhPYIgNo8QBqZJ4ZRiayiGSS46GAQUApMnn01Vc1+6Tkhp08WlrM11uzFi/V69tyJCWLx/Ao7gvJXhNoONJqwC/y+Y/tnbjo0t3Cx084m5exx11AbpGH8QdHRo0dnDhyNh1W1zU4DOM+/sjVWN5Zsi65sl+fqsTtmVuayLzl81Tdhd9utQ7oGSKlmsLA7e+oMTTASIfvrxUsTgNOnT/P23QssdoeQlfons9qYEq0RB0VrjFGVi70AwLrWKUNcUVHHyDSD7gpiPCah+YIZrDBiTki0iw7MX78SK5BRE2URAiBFcuQIi7XoYxVyrLUcMbBZby8JwHoJSS3mSTMZbzorhQRAcm8jS+9aC4kjFyNAMlUWDJMAf9QksP61ZsDKSAdMrZXRBXLixbV5vDUWDGbMSBmr1Jnib43t48zNTuduJMDYC9jmCsO2FgyAhLS5wOLnsLgUubqPgMvDhw9j3AtDVd6fwNiSZDs4A2wk9QhCL7+JPoaR9zUIz5Zx4lE8hWyJMh9DEnAfKttaSGwpJlWwiVBIahONTKJVlCO/eMhFEqssq0oMvXgMjoFZicCj2P2l8pF252z3qUAvHoaQGSyYR3GqyLKAuYaBzYROYibiMQzfEsEAILF10QzWAM4HE8OwdwsMV0wig0hQ6hRAIBlfKMic+GmIvpVMYCZJHAEjAEwA6Lmdv4KPSMmFYUSlukuaqMdcDLiT3kVrEKQUiYsIMYExcyQRRrUGRMNElhfwpMMjx0+cemlhdYF9rWqjlSqLp6Fs/cQqh13deUvn/UI5DvxO8/LsSqmR1bIdKA+uMiu2Ax3hDwabbLl+/uz54Ykabwxb5XZ5iPbyu4OY6W8JMaqOT07Iu1tKbIShRRVfXLXWSpVaaXg0+5O/rEYPa7WRuj7ICo3BcHF5ft/UAes08c3P8VH++k/xuIoFn+ZFj6fz586v8VOJDHMuEJ3yvqPTy7Vlfs96oruLqQzpT3VpFuTGYVKVNMgCSJkvokkbu8GTZ0ADm3OzcSPEQkp6lCwgZMsAVkIZk2qjRkGSk/K1RlIruRfGAJskQgKIPJaFIZeGXLL1CacNrReSYr4KpWuFB+Mll3wBYK4TUgysPknGF5JgJXPB7EUMUuZzw1QlMEpSZIu1kURINMJHmKkiPgKsx1ZyJMnXWoMgcuXRNo63TutEc+a+6uostCxZOkMT1dbicPfny8RAl0YGlDEAVW0usHwA5E/5vffe+53vfMfLYSkJgpOKBB1JvNGql4xLJflCLkTC2atKvqjtjzHM/CZUwNZHwZgtlQJARSfQGy4qMIqDUKkJMZ4oxxgkF3IalrfNawgVZeSJMlSulWAGC8LYKYIZJJCbxLBonmcwTGyz5c5kp3S41fFzrAiQefSSkBvsMFhUkTRoVcuTGNZYAIyRnqLNJXB8kwYagF6cXZr1jNo8CZpIghXFeHLKxJg8A2AigdwYh4EAof0WArTMYolGLeey8JFBssPIk0jDa0eoyA3Ih6o4IRTGSGswIaEnITgMy1l1Vw/AtTK3RgBzChatMgp+MGB4+Jabbj3/8rnT5043V9Yf9bMuyna3GuHLipcaS831PdZ5vNSpjNaqjWwnKo5Qqb64+Q6L+XVxZJUjUO5UhzrVbF2UPfbKkhowPXngwL7DXNUUoePMAKGNFNlotNKuTQ1Pq22NUn2ltBp36spINxL7NUxP7o8M7Vb7zOnTkV9YPZdFFi2LaX7MR1W0N/ssbGa0vlReaa3QD1Mjm3tAQGV+H7uM59LOl8bICDCSWhhICCR5L8wx0fhHIEUMhnSjzWHT+WINYGSSDbsc6yRWAjBtXhlrDZNgsBy5NuqlzILopnyVATYHiFyIVJVNIiZWmSoCbBUFAH5oLQbWr5wLYBwG/U8yJwJWdpd3YdtoIquoMb+FWCvZXlwld9bHYmEkGAKmKppItsbkCIUkRqo2wWS1rXp14TleC5Ybi83qCM/DeT+4cd5n9xX0qk55wDJnrCqhESDbpkHhxoAk33777R/96Ec//vGP5/+cUMHBFYOzmzxVdJG0pBDcR4m5vEd3UZZtLy/WRxMR2mmssjIvQEXvxbsHY/KErnIAEsjz7hJz2RYqzQYmyoUmHC/0hTyJuWMTT8wVrUksJJhImA9M8yaYQrYlflmtXTrUKV3YfAOz2TrHJlv5zYcBDCXJ3pEBM9Gw3mJjJ7bF6tZvAhQPSsJTlTRykeSsVOCBXL3KbIVMSmBmgDCpRRPBOKXY5UhJfNJGvGXzIECSMMgpOR/4Y6LmE7ynV5sLCcaR2IUEkFqf5U0SJEVj8lVypFCptV8hXYRBJNJITtgUqkhsmHAePjTDR1EvnXpRP4PDo6Lmajv7b3GJvaMSwqGhbIdRXqaxv5Or+D6rudYa3tjJ03oE/bUg+4jSsURIDNmF69JLV/zQnp0g2Cdi2r/Ykz3F4vcPL7nUmZ8/7V9aXpycWP80Fv3LL7+8tra5xYOQ/K3i9L7sxbcTi7DNGKqdGtP8cIXfp6ovlZojLbZ33z+cfYIGnoBJMrRAMeltwGikdC48RQnkDFT8Rh6HlChFQq2GgUnQeEYVRisD9DD49iCyCWbCWCXvVJGst6BaYxIh1iKLREoxxNxgYJbtyEqRWG8kgtkMVm0eHAHIeQCGEUORfhObcmo5oBqxaGAgaZIxIOKNSZQUE0fwCCMhqY1VkSrCEoa8CxtiZTDKKBuTCNGRTcxjwVWVpROV5dOdkYOlxmK5dcn7PVHRabJSkV7Vs0NGtfoze4JFZJtnY4johRde+Mu//MuHH3446NZF8GJUngfkNXiJ4Cgn4C17Kg+wxrTSUHRV4iUWEwxF84jBua168ZvKDDaRUKgXv5EmsabQitqo9xVLVpAkPBz+RCO/IlGekDgAGyLIylWJIB6UFhIARY9L0ZpcSAznKqX97dLRdvZ3hVauS+EfR5swCKJQabWKGvqSeSvBO3GeY7FIUpyOhNiQfUZID0YC5sLr/BGbcumjxjK2pOjIVQhRj0wCbACROEgrIyBRigGlMBQNQNDVC0J6gyZQzFMVGoqESRkTX/PofzsSwGwJifWOxxqRJDxiI0KEvIlqZaJacgmmNQaBA337LXecOPni3GL8Sj1CzbJiMQAAIABJREFUunKndP3RY0emp0+dOHF2qb6c/S7h5oFI0NljoYn9hw7MaJ3tF7gU1T8Ez7EjHn5C2rasmVhvLa0sTo5ny6bs78GSvd0N7Qrzi2w6yt+9ZgeR3SX8XMooFtVHjx1bf5LW1S7yOnN2bnR8dGRsbP7lhU6lNTSaDfLaKPfkHXZP7Qx3LjQuTDYnx0bGPLTUe6aNQtaE7gVYAnmsRbYtQr5W4OQoGyZBuXkwQUNCEx/GxGjpOdYNYAyWo0iiKueqIpcgvBgkW1MISJDGSEhqoUJPsl6Ci/IFIBFUdB4BeQZpjLFVos8DGJkanPZO33qqROnRa06EPI9qY6MiJur78DhaCwajkdIaCziSr0KAqgxG6DKlQ1d6wEktw5WUOeAAtef4Q11+5AFMVux2DrI7UHry6A4ZcPbqhJRU8IkVt0oMX270Nb75Cyz9ImGCFLW8ijEBUJRjMDGCKNtEGLNZnwiFtsLYl4sJWwJIorIjYK4SQ8LjogXbImBOkgaAZWsiWIBCnghLSGKVZTDmseBaNKTIIzlqDE4EDKPGxbytNNGRwWaQhhGcNwcj5cVyaaJTmmmVzm6ssajCkKSh76JpE0E8Gt7kWlvYI2sshjdzCoKoXBV5cKei/IoNJAnZtWDQxGIhCUqCFzgCsFUxkkhJ2HFpKFghiQnNRjwK2FUSOLVJajsAZJskSLWIWgGIhBesjkdKMCTLMLgotm59ljkYgVVrQwBoYpU0gpH7uKvnjUSQHPHSyBY9jb3xhpsnLl44ffbk+iOlS+fDWnWIx1A3zRwem5g6f/b04f0HecV44vRL/ISOA7AwMjR25PDxja2qrM4EYiMh4JSLFjHznb0QLKbken5hbmIs21edgxu3vxIs5jx1W11bHR0ZRXnmzJn0l3ZKpX379vNThjDr5KDV58+fO3T9obHJUfhHRsYWLy75M//hycrqXBZCmS3pO8vlZmmsPJ713cbwi66jEipVIViOANX20cQqGDSAe1mhT0Y45iQvtgTweosqrnbqdnE6tyMwKGMujJujogHWS3BRgARM0YB8lTQASJgrl7J/nvcFHvP+VtTS6kJbG4pEuZCaHk0Og05zY+heLyn68ES/wExoE4QEY5h9RbDlQirZQpjY5l0kPDQQEyVXWcA8O427N9uFVBhGfZSpEg9C9o4j1lHxnve859d+7dc+9alPPffcczy+4pOL3/iN3zh27BivGP7sz/4Mlw5CQmKe1MYG2LExia2KiRIwhihtbsE8FgSLDFE2DMGEfdhU1YuBWqpUK9lUFuQxKcokCSYWkROTQg3KQajEbEIL0hfmedoEJhJgfdh8kvdiQw8GZuVQiU05+uy5drtzlI/fu9+8i0eDXuMwMkfZDA7bGgtU8WCDUU3iM/D/n713i5Esu870IjIi8p6Vdemq6iK72WySQ6s1EiU2RqZIj2GBFGFdLEOQHoSBgcGAA2gIAaOBJT+YgF4MCJDf/DCAAL/ZsuWRIcgQMdCIAqUBgRFIk21zyOZ1KFFsNZtdXffKe0ZmRoa/vf+IP1bufU5kVovU2EPvrt659lr/+tfa++xzYsc5J86BUKbIU7gbg96Zg8cx1lhpUuweBfTgKYJJUG2YMQgc1FgCFmxqJpbpqgXB7haAkScmBIr1CDTzKiu9ckdHUj69IkaE0iCrMAKsVFCq+yY0DEHFJsWiFkPUFzKOgkmvTRwxAkSMrDDXSmcoHvlevXJ1ZXlFlws9HpyL2ty4yrmok4Ptw4O9q0/d5NcQ+4dH1566ztHv1W+/wiuiDeZN0JcvPXX18jWCilnRlYkzVFMAfr6nn2v7Xite15OWTcsrPP/z8DHPiR2nd93wlgHenVhtRi4pLi89vbe3v/U4PY/HheXFxtWNtc2VvZPtfCdZXkCcdq7c2vTDS5fWe+PRGtc7h3vHS2sD7sdaXO0OdzmGdzmvtsNt9HsHm0ubHiuTx42lTsVasLaOR33B7PFBkBzB0EoZBWQwkUcYaq0JDPCJVYbd6y0TCgYVpeCn6WIAGnztbgG9GCxEk3mcsK0IklXbXS5WmiFmglwA3HQykcdWKQuMQ0RrgWEAKUZipUccKASDX6XAGG8BmOUomAdBVLbK5KaEAiOlkSKJLmRLQU8pwDSZIRBq9xQzMITIUMjmsV4ucicWemuMmd3kbtWXv/xlXkf40ksv8Xsr3Dj1/clPfvKDH/wg660iA9GptnshFC6FFd9C42Z0tGzBMOcgjQgbae0rF/DWmC2SWNnIhpVPGm0hZFHVhI2+tZJxLhgaqaJSJJEKmRIx7gJKFysLAV9romylBHiipmimDKZFcw4wiuhiWb7Umu7okSkGINztdK6M0ysL7+kRjdEWZMWMvlEGSAi2F4L1yoqlFYdpzsroTYU1j4PIkVqOCBRZEVCqqZqmt6kZDEYwzFOohjkZRSwAZtM4QyjOAialqWw1JwCWVjT5fIIK2SmZ0AIARoxfNbLyEJV5aArmcbaXg5rZ+dQY06pfIBsxUio6sooDWVAgmkIisKHf+fy7bt9+/fHOQ5pLg+Ub126tr6cLdqfHS4cH+1w9ZSjGe7t8eAz6g+efe+ftO7cfbT0AsL7C2uqGHrJAk2JaNb0taJKSlExwNeO9Vju7W1zDO+2c8kCsh68/2rvP7z156U363WL69WJ+WkR6vWCvy2tz2CjFve0A3/788/wg0SEIln+WmEciX9lM0sL4dPn47isPL91aXuqkX5Zxt27/uHsyTLmR/FF3qCdW0PTWQXbygqmb1FGPyQUThaYAhlnAJIBdaiFzpKomaeMxkuT5wqAobAWdO5QVE5vSDAiUOhmUSsmC8yn0ReYFldxNIrCoCsfYLAAFidkcSwL6wiQ9tfQWiGUksmBOIJqkNMAMDCNFVvCa6l5yoRcgLrkKKjVjrSiOZVOdD6YCpgSoTYKXMUqGGiXFzOJBI6RNFupA8o0AaVga+WgJGwcNvgmnF0KMx5wOF6b7oQ99SCPCFUDQ0pK0hvKjH/3o7/zO72ilJY0AN27ccE8mRGHvQoPVCUVZ4LqOmIK5BqMxeaPVyotQCVwQxnzMJsGczK0511bsVTBbb8GE1jQKTmkOoTBthNx1xLNkzaMojWzGIBQFLzSqC181qTVVEEBqihc9EoOUUUZTcAqzcZouF95OTyRpLQVPgROt9kanZwwa1lg85F0k1MKb04Jd0LD1vZiwPuYvr1pjMEKNiVYSYzWj+/GVdrTaHUGHmxgryvJyrNpkALMaKrpWHyiN4dIqEwkS8aiW1bVi0cRqmWajbAYLchQeF/TRhF6mKLTBhDHew/jw0UPOD165fE1DB2B0ctzdv/uD7/mxb//1N7/z+p3168/opAihd3d3uLTGzewx/5xU85zUTFNKj47vH/d4ugOvMZpdbcR068YznJTiMaQno+P9x4cHD7g9yskmgRNRnNPiB4+rqyvHh/kHTJx3Go+X1pfe8txbucvqDDo0/IUGvte//fqD72y95YWnFlcmB33We4dbLPbGPIJrb2vv+uUb165cS+Hyfm2aesBlEkzWRgwAYUxVCPISZj5P4Vg3i0A1GwC2BfupkGx9JrbnQHSPMoFi1yzPwSg3AQyzY5151DTCTBKRtSyYGSxEZEEFptAAjhqR1FQ1JkbROGvmy1ejjaymwJEETTSZDQzFOxFygcRLGzFR5/WTajNEQe5RI3CbPiIL2ZmwKGK9RJODMyutdK1/fDzqHQ+u8jPYxeW9jcVeuvNkcpN7waLUn3vuOYQf/uEf/uxnPytNAYvNonuxA8ixJ2pa6abZ0Fi24I5JiITGWDCDBZsQ8LXePBaELJoocZFj9G0clugb5ZiDZdgoYrayFiJPlAukTBAWepootRoAEwsmmjUepXqX8suFpgSD2QHiCNQ84Gul3RFECAYh6i3LfWeh0x93rnW6DxsyNTYJ4GNKtokfEwClLWYBGBlWDKyxODGjUaJWbnJsS6/WR1rlgybCogyApl1ssob9lm9FaioxY+Sr/Km1HqJrACLGAKcBxr4RKYAuuxCLuHCqaRI5sghj2QdA4VA64YiUrHDaKDm1hg2NO0VWBDlKcBMeYwRw8hYAFBjnIz1N8SA8de0pOwq20Osfj8bDQ1a0G4P+PQRy4UDORlriEQyd8fHwkJu58ud1eiq6qRwlCpDTazB6CmhxrxVWTmLlnxCm8y6rl5cHS/3dO/y4cTY+6eny/Ds67R4dDvrcZ5vOUS2sdvsbC4OlyWopRrRsin0uLG49Yn2xtrSRfjKZOsyBoHO6PHzjL+9xgRIXRoYaSzJOi5RtgykUVnonOfpmphkVgMYQdok80/jlX8AiwRD5TSIHYYyUkq1AkUzCunMLDL7McIpIIlXBIF9qMDYhSKZGTxEsymiEiQyWJSSWXKw3lTQ0sdtqZSHQLHgKFwHEBlJRHMuCvGqqOQBTFYcLRpsjSZwk2hbU4seEYIAThpAisGQlbwAC+tiUDFuttMYuEWalYedSsbSi8JHxkY985IUXXnj06NH/+D//9pf+6osE750u95YXhr2d0dZopb/acInQYXB73/ve95nPfMYaCxodNxHaspS+sFppntjhSCtmWe1VANwEBsac1teCCYvEIjKazClHw4pmY4aRR47RS3LUmFyCOcEUVPaVoMmKVyMbxxFOS/DRKJJi7hZBacJWhBOmIC9gtQsaXKQvfGOq2sdqdzBScjmHa4VPnXKtUImcqc0MmF2a3p0x5zHRXo1eAkhKhPFdhO8lDBHnLYSB1swRKZkhFUDhCjZhpIy9k0vNpkApp5AVm0zJCC9fY+Qik0Igo4zhZI2cpC0YyKiXLE4wFD6KWHEikIZ4VLO04iQWtTouF8kRZhmAMNREiTUYNaUXDJki91oQRo4OUfOY1hhRmRCAMABQIjNu44XB/u72+sZmv7dwuPeIE4h8AohBf3hEFoum7toVruQxMu417sDcdNCkZJmU3oRTzkme1d7rTvZHYIOV/uazqzt3Dk6K10vz4NNMnlZXG93F9QHn0tLD5Tcuxyi1TKfu3H4jpcRbcrq9QXo6akLBc+fhXa2uaCbjtI8msUbDIj2ElFpGYzyyMUJikkZUyNYYLIBMZqNJEYmRsnq22xoFeykrNVWnaR1uLeJYwf4OjIKesUrDVRUBpIZHVKqNBSNZQmG1yTCzISTG0NMCI4DwqgGoRGVksAuwiHHvCnABiy6WC0zKOOQMrEgp7U0ZQC1fao5mUjLyCOTDsYVlmRNTuCIWTcCUmIwxEmy1EMGmlbXAmMouFow0Bg237QL4xV/8xRdffPHLX3v5h37wPf/0n/yz//q/+6cHwwO+IPFTloXBwsnmwcHOOP18154mlbC9vf1rv/ZrvMSt0NN01Ghq5InKRq9GpWlTcrkA46/1FuyOVbI1xkQhkkS5wLC9TYip5pSv9OaxYLZag4u8jJGAUmDXTFDLBcZNhMyXKg4Q1NIIEGvmMWz6hoEgJACFiEjJADAV876AgSmOdG1scdHj0JFN4WyKPJZ5JzTvs+V9hfUay45wMg64RA3KqBEhtQ8BzoSrhJyb4ZQvqwcxyLFgEx6linhEa6ooAFM4xlMu0RplbXQwUiIUI4zemUeYZbMpq6hXhjFPhwOGPoKRmS0UMHwIQcuXNgMAM85sVvTyRRaDMEYqHzcVnaY1hQCA0pg8SEzCZ1SSVZRGEYumqGSFkyJH8wijmh4N+0t7u9vXbt7iPvfRycGI54BOHvORbj/f2TtgP2IjXuLdg36WFc7TogGhRVbSSfDt7VNg+gvP8fFhj2Pw9P5C3ha4eWtt79Hh4cPZxUSQZEvdW+sN1ifPHOHs1+xhWoms4djIi4D29/eSkRPNo9m6YZdnwe9ss7DqjJKXyBkZZGVL3bjjC6k60YYSlaKSESoKsgU7mS2akNHLBcFU0oinqB1ajkYahiAqIQsAGzSG00VhXBgBmyKV2KjnF2cODH6FUB0dlZJqIaMVGZOtMpmqYCtgESwZQMwKZWSIckEVTZEKGEWcCDKpxoUBREmNTLE+wgCwy+icovTgCxfpa37zmBwNMCOttxCtdkcwICrFU7MNj4f7J7sng+E7/847v/XqX33uC589HA7f+54XNzc2j0+OGAW+TC30eC9Wd3z5ePYrwsbYrLEcIMZGjnrlF7PEGpvyjS5mK5R4RV81GXHja8EMFgqMOSNzgSmaomojBMy00Ae5HOvOSm8eBErjXHRokVBLyDMtzU4B8G0cB2jNgFA0bcJXR38TWjBGghkQLBcYNyEBQ02xshaidQ4nfTTSQmR7pPNYo9kaS2wa2IisqRzXw4iG4qbcWVpxYNVt71hRirzOxxox1FQxH8ApWJ4DdowAyYIpeWjBF+nZJZPNPoqkR2lyCdroJrEVvGVTFRr0omWZhczIUCPDxpktVqL8DFMA89dUAqjGSghqspLsiBGGUnow6NWURrWUWCmMldhiCGRMESwX8qRYLxfXia2/dMCJpV5/cWn58PAgIadnnrhgx4sL8QYPgKBQyRdYQoaSMpsmzzty4u3tRmXA6cHd0TEPrV3KL/Ph/rfBwtrV5cFyj8uFvMGQkohYFi4vLG2mc1dy55eJ+wd7a6s8IkvlTHRUJ8cnd+/wE5FUOOnGwSr9zV8/eNwDcpddLS+wULojCR2uoqrZWKesph2k7wWDXQQDYLAE1YJp/5KcxnE6kgVndIww4bEiUBdskdZeMToAMVATkX1fLmxfFlvaE2XKYyhjquU1a2fJSgsCOKLyLLyMMQwNDCoFGEwBKwA0jUEwiQXjI4+QMoGUie6r2GpBbIwYBwQTWsBq2QK+FDclMKpxYAEQMe7RhABQTAZ8C6o6YgFQuBrWRhWRUNE8Gh8Oe/tHS3zLOuIbzctf/8J/8eH/km/jP/DuF+4/uM97F0g9fdOZ9h2vyVMWkdQrJfGkdWNPlJPqxr5FkwBoKMiqnUZsxm6bFkCtL9zBUKycL7SxiYGaRTdbXd/s22ghwaSZgUxhLlLXoRl8T6CCzU0cgdXuhQZ8oSEcSrL1zQfSOGKdDxpIcGlki3ilpzrqCxk2koew0BdNwZQ/+MKqJs8g3czPbrg73Zjg5VLgNVw2WSiyZWe2SQKbFV++5uvucmjlYpgC0aTEEYAKE8oiE2uSQ3aRUMBMCyeFYz1rmrZxUCBgEiCUIBLXGnORKDQmeRkjAQx6ZoWoUBYzRPOBwWEiaZklJF4qJqRpNinNGWntVQRCD0wk8IgKhkhiWpQkBoO8Mqocf4GpRUVdUwmzMFg8OmQdNVxdW9/eetR2wGCh44g4wuacHUsCayMWUIXSzf5i7/q7bzx8bevh3cedfKmAiPoVIZcCD7f4Qgwxh5vO6rWVk/HkR0hy3+Z1irMFliknwt27d/0Er9SL6c7y4N70WfBM1fzJqNmuASFUMYBoxFhsoxgPDEMqTT2wHhwAgilEjRSDIyoZlNJYbx7hxYZsQXrqwtERJdjq5EUid/rLKVtrmPM62qPBFE9uCa9aVDA7VrQ6Q4U2RoKbcgEjWGSQHJFF8m1UOEY2YJl+sp+aBKVM1BR6ys5VdzZSwQyySDICJAtTICNMDESkRDZy47jqwYeBQlbUEVZTYS0waGpYopvuvyIsMOk3KJ3d4/5BZ5GDTKc37nb2oe787//yf1tfXX/xPX/vG9/8Bu33/t0XX3r5s+TEL3+dWDqDJTqNow3nCjg2YmCTCYECRnUBRunQMtGkNMJqZaGh2RhFhKoBFFsuerEVKSKZQ6W4EAKOnzF1PtLUVLWmQNaDEMltdao1IbnZJeKRPQJ42WQwQkFbw/CKSpqFJrJZxoXQJAZYUSQYYEFsgNsAIDmPdZXn/XTSu3RgVol4NDQpioggfgsxHHIBQ8MuzeVCbsnybe9SegBpwkYgCWZWMhEGwEVWmkREboSJipoJplNEjTBxKgfYaDoHhysEdRO2OUhnKGYY0EQefcXn82Zzc5Nvbxz4xNaYpBMTRlSMLXqZCn7BXMPp7yROrDEQPHiBgVZR5sCEVKcKGATH44X93a21jUv0PHY8h5Ci2+vP3peHygvrgi27jI8ORuMBVw3SRca67B/uPffCs1eevvzKV19Nj3kf807oU/6B5FlVLB25Z3b1+iqvMOyc/XrCO3P8DNKC9mD/ID40a3lldXkl/aYJhwcP7gvc5WuFpPxHg8bIUCKbmxrbicdcmN09GiaxyZtJJkW31YInCTCz2SrBvoBzXpP80dsUZXmJLeLNBhi9agTpmfaa+egJxMktw/jopAgmvMgBSOnabBYwAVMxLAoR2agvAFAJZoFsKW4WJLiTPHtZ1BcMNOXuWAgmRLAsR6wUE0oWJiIzagaLQQWTI7VGHgAyJgrHH5oI8gLAmAsvjWoDorKQC4xJIByOD4a9vdHyMZf8ZtuSN7kt9nh3FqeQ//n/9D+I7fKlK//NP/lv7z289+obr3B22yEmZ7BMagNRn8+FW92/9KUvFRsAK8VgCyg1BGhqzgjTFJRGVDVhZIuEBbNgkRzZs8q0BawghJOUlFXBb2YJIuSQKrD5C5iapOF9rxFQK9sI0VPIzelFOfIIZg1NyRoT62mKyoQyFbQFGxjhResaNg2I+QvBUQr+AkYTTuemJjVeMZNHvbTG4n6su/nCh8nF5iaDrwylcbaCxZqIimJfmqxvuFbIwVTfn+igEhOGmgKnSmTzJ25UAqYZR0mOUVPgAaDhaJJDlQcjg8UgcBubwGAaczOVBfe0kVBf7jkscJIPAALMuECOQIFHg2NCadQRXDgmakAMsGMRUWyqAevYWg+I2Ly7aYOCL9gUTmA4lfAZtt7iztbjKzfeot3Gg56WPP7Y4Krb2e/ZonVQCJ3w06vP8GjT7cOd3hI/zkzPuOLfwvQ1iDyrnTNmPP6qtzY+2T7tTh/7nghTegtX37bJAZ07PxQi1jt720v5Ie9RSeg33sj3tmcty7qbt26ybdDfDXqWb/lyRtrdMIFFIH83UUpvco8tGIr0xThEF40GSClVqxlhpkIZ9Y4rQTDVBEWQHGFo4iZoI7SjhCIoTekjG1HMxjh4KNAzIeP5FU/sSAtVzSZO9GIWniZ61QJQ1wWAijYZco0xrT++Y0oRX7i3wTy2+IpcQqRCVmJWis2cjhXZzFOAxWYqfBVXxx/rtQlEKAYtuQRw6IKNZjSZ7Xh0dLiwfzzY5yco7COz0xVTxOJKb3TMWWwfGzq8/Oq//+3f5Hzf0vrk0XTCTn5F6D5Ly7f2X/iFX/jKV77y53/+59evX+du+T/+4z+Od7s3pgWJ5r1ICs5pbpO/Gik12tjQywSYsaMgUM6lkiPJUMRQuMRmQeimhNodDSaFiDy1LJgJa4A1dO3cVIkoGF7ipGmGKGCFLWrci6g3m5GiLRIG1tZZ0yo3N01oAU4XlG1I6W1tbJrzQZcXQndvjLu65x1+8NTiV1Ng5NgL85vKMHshqPBbXG42Yn/mAZuCQYWp2F5xYM0GMh6IrUeAwc229RN5ipZayaChyLGxBtbGZrw4QV6EDRi9wFcLEQQ5UiNzFKNg4mwfTX5cQ7MeCkwqojJAJKqnkPRXsQxTl920ILbGXsQkNSDQ1kOHxhvIbDyLc29v53I9zsGfhaTwMe0ok4ByIFsSeNszz925e+f+w3vHe5PLhby+Ji+20pLrYe/h4e4BjMsbPPdzlB/LPiPjC3G+hathu/MdmgGHf4budLYeb+3v5Xvbs3bj0ubaWrpVbntre2dnNyLTSSx++jK9xd4DKwwdpAvI9QhLk7s4Wa/LRSPkcZIgWrOJUPjoJVmcGrqIKZDMEEcp0o5eYrMGl0IjU9yUYCA0uX0R8FWt9IxhE2gWCcBiy0j0WPESbc0mk2sLIoeHjetdz1YEFWCEqEfAuU2Bk79KTA3kObDCKmSBj2zOp4hIk+HF0WBkCnrVEQ/GMAMiDGvcWPIF4HGWBhiD5g0hKh2aIpvBCLiwlx2O9g57e+OVk248ZSVcqNllVi4NhnvcCckzXCa/wz3hOcVri73B7PQVHs3fjH/qp37qj/7ojx4/fszWfe21137v935PHfOGpEkJESciyroDBUyO2t9UFwA1TSVCQjOIyGraxTBrEBTCPAgEcvIRKdmcOBpmZcQDoLDxgCFEUy3DAKaRpwALcy4hAGGEb2Oms9EkLxIuRht9gSSr6KgkGXaQtV60YBCEjEc9afCyLzIF/fxtYcI6N3HGmidFch7r+mjM+wpFrhqMBcmkobjUTjhSWWbOM1Zy12TgRii+AuqWLMPEE6NAWzBjhY2aYkc1owaTfBVOSA4H/losK3oFjTDTIsCJiVKzRZhkwGwv0lMTF6WEICprpGcaUAoeGPgdDOf5uFYInoFCwzJLJKoLF5oKSp5iRqgxaHCngBHMGOndJKLkyCMvOUpvrwgzCQJ6YZZW1obb23u7O2QQAXEbMtYyKVCEFTKbDM1CZ+Gtt966sb7x2uuvHueXG6afc3Nzx14a0v07w+XlAa8svL601L+6sHMwvLc/OV+l1U/jjxBxJDonsa5sXnVQthGnqdzkSfA3n75JR5I+3fM+m4cJk48TekxDPSyQMyAJFXaZCAMQm0JS41UPi5FY2WRiNgwBRxUpqTV0Uto9ImWCymwSJkTVHxGav7InBQyOK6RgBbMxspKewewLUlLTU+/FNL0UQ1ZHoAUDGwUZHgWSFRgaDj7uPlaKrRZAxgKGpmrpa2TUiDNqooyVEvnbZHoRw4kk1rIWbI6FYFMKeTYoVpUiumAGC6N1rZFYtd5CAICeGozAR6Ph4cLeyeCgm99PcZGusmMubwzYizmP1e8v9QYLxdJKoWePaXB+165d49YTjpIIH/nIR/7kT/7k5Zdf/rmf+znG7g//8A/lphSdvSYHDBpfUxlQCLgzYyjs9gWVkB4FN80QyQWLGsFqTmLVSsDyNYMFhysEkdBNbZvCWjQL8sIamyDJMGoaZaLa9dF0AAAgAElEQVQrgXOZ2WmFdJ08c4nMdARd1DQyoyxguEiTKScM8i2QbkZmpxdDW5YLc4P0zh0WzmM91eleHXceh1sLTRUFaDU/53NiFUxpkDaFpQPLgvi0d5jphZJEFrhmRiOG2oQeR9XKM67GmGCcM/MGiu7zewEhAIp/cO6OFAKcRFGGmGRVJo01nOiBxZzRSI+g8/ZaZvExw+A08qgvkFBiUGkKF8jRo/QI4GI56p1e5BSbGCRreQemgKkJM1cFTsbdnccP6Wq48wJv7ykpU/eijVDhVEOOy6WNS+96/t1//dornHmK1kw3vra8uLKU1rvXNlZWBv3Xt/d45ih3bqVD+NmdNPrmB2LNXiZ47w73ts/uqb9+4wbPLyXzB/fucyEyOiJzBis/YysNr+YemRBL4ajjOMs3pTr92BMscoKXVVsNAM2aBI18E9d0L0AjpQmjozauwIIZLKW9LCS6lnHDRYSABYsk9kKpIpjysdWBEIAVhLLiwubAJCuXhkCyX2i0tXKiiRBpHVRxYyBlK42CUtvXggAGF4QFzFEEw4oQgzbKkcSyBbmIh1r6wmpaDY6aYARTbQyC0ouaGimM4hopWHFVkaAsko47w73x1snSkNd0nt9nM2aBycXZw+7pwihfLEwzoPoMmn29dn8+9KEP/dIv/dLnP/95nuHOK3E+8IEPfO1rX7t16xbuFE0yFoN8ujgcvugpzBXz2GrBAx37H2Uha80cztqEe8FAE1ihdFYFQ9E0LObGOMwhjC7AKFHTKINRem1JOrpC08zErczeUiDhpIBHWURHH5VKtZE5EpokE6dpiSClAhkQBdEqhByZMBFQyKLiSDQfhteD8ZiTWE+dpPNY8wtU+jgE5pwbXTQsCq0aPKdqOGHDXUceNEzFyIi2JtchVd1XxDgg0sCGIwVBqxOFlpVAFAEkmM2jKk65c2SnCRL3yCO2WAODdv6q13gIwZuQ5RTfx3z9FJi+wevGNXKgKGczREEdQQNhpI0YyeoIGIqtMCOrNkzNiJQsR2feSCi28cLi3t62o9QCY2V3HfTcxxg3Oio60+Bdz/+dO6yD7r3BEyAEYAtdXVpcDPfGri4Pbo1Xbm/tdbr9k9OTOcd+Zsre/u7G+iWouLf90cP0gkUV3nV45Vp6GClvln74IL1LsSwssBbSkYEx8bC4IwjKufBCqRHWriSMkRI0e+VoQpqOIhNg4WkCY1TFHPVCqpa7MKrRmAFMlAFoG0WGWjZMvjHDyIYjSIoYMMlKCKVtU0alXRgTGIaCwhIKx3hyCysDCFjDCIY9pSAXZ9ELxVUds3UCIqEWRoJlmspQQtSjsRL9HEIhXRuJgGPhS1NId8QaCW4KZjbzR5itCFEGo4IXgn0RBDMY6/Dk4LC3f9I7XMhn8CcbNfqcJ3MPFi9Q52o+25DfovBUlOP948XVAf+ia19fN50Ewsc//vFXXnnl3r17n/rUpziP9YUvfIHJweufeQm0NycazwbyJmNnbyGGQWZwcbe1GIICHK242CvCUMa4NkXf+UqsmXu2ODC+TRA5tYQ2WMGs5nywOM+lZRjBOO3GkSFQMZVx0fjXOdR6c1pQ/uY0ibKlliB9TWi8eNSEfP4numiZZsA4+kSSWmZpxUPer4y7j/PvCmuANMpThJ7MbWAypAiGAIz60qVLnMdir9GZfxFyiFS2YKSpyTX5TeigaCgMmgRqTDT5vkUUBRUnNSQMhZtyoSmNOaMgkw7idVZGAosZziGUiyYDMJj52FDTbAg6PjDUfGuHme7M59QI4GiYhkK1mQ1zX8BbNgzBGZowWqFFTw2MgqwizMLiyvHumduV0MeDdoo4/ayVi93hpNcZf+YoL5jqm9dvLi8uvfbGa3yqolnsdZfO3rqBkgmxuTg4Go0Obu93eIETt8Yv8ornhs+Cnd2djbVLJHD3jbvU00Dd6zdvpK6dTp/nPjXEvywU3dRQq5ZSExuNeydBUTzsACjmCTkknVyE0cgIWcMglFJgw2qkTNR0kBp8gTGgFkDOARehFYIoUY9sWqhIW+unRlo5Ks8UeLqB8GKnEBW19hSsyNTsPhoN5OLoJ0I5koYJLSg3AEpbzcKqJiGwitBURloQA7V64SaAIg25uLNCmseC9I4bCZEjrUx1XDAUO0qYQygAl9oPxunu9fE697003L1eELY1eZTo4W56c+jqyurK8sqPved9n/3CZ7jhYnuXR2F1B8uT+y5wTwdHHQqdLprPfe5z7373u//iL/7i05/+NKC3ve1tV69eZcnleOqJBhdHBLsbEwUAmi5Syt0A8bgpQjcR2shrfcGMb0EeaSWbBKQmXI2xRmx1FAAoTWU8GilVW18ITCAAIi9MRTOGTtTVJBNeelvlJf4iSjF3cbev3cUJsm18zKlAHCwKX/fC5Bw15hAaj0BQDvRtoY180B3f4H6s087dbuuJMaLDQ1GvaTaOiTmxKrTTxsR5LL54cEjltA1UYFRLiL5EQemCSTJsFGRqlCmhXNRMtulRW7I5o4C7mooCQbRahgGZfVyhkduQmASGkCLZPI0CMPRsbkYjfnYaTCyZWCwi6yy9Mnf+BouKWr1WAm3ZKrSQkaGgBSZNwRPJ9QEmQqhAdnuLJ6Nxb3r395R/ckDnDcz8bAxakUyts78wYDJhnSTQS5c237m0/Nrr3+YxDUXOIoKDLbzU5yaejW5v9fbrr6fref1u/hEiD8Hkp4iT9RbPjz44PODHiHt7s0Xh2tr6+kb65cEO95OFe95nWUrqjfUgEjaTxiEOlGUyVJLUda+twaoBl8Z6QiFTakKbYmICSwOnpxb6CLMsWmWIMrobY0FJqglSTc8Tk4hHNfwMjpM3lQRc5EWtDJ2n9IoCmKaOjUKid4GcTSBCkgGmS/wAMLH/IsgqF7FRe3CQbTLSORORYr3AbppcMCMFqGvhgdmxIIwuNRteUqo2ibcCGhXxICPQFwAIeMnRUQRQLYBMwiPznvW9zuN0KZCX2sIg85utj/ZPWF2Rww+884X3/tCL73j2XWwFziL/H5/4/aP9Y3ZMp9dwD5aC8gX953/+53njGJ8i1L77Slb3RELq7nTj1TnLBDJizADeMgDL5kFJUTMKBaEAci9IiqaZa07zG4NGgUzCNmNnc9PIWlPwG2lB5DQRKNK38dhqgF3EIIBrrEYiCIxAMQZBzUKJvib3ZI3uZpAgHpDesQuwm0pPhxsrGwU4GXDw53Le4X6s085T486D6bXw2AvIoXIvFFqc85mF9BDBwFVCDnksF9g7dCoLcmJRBKNWgZmCrOjqoJDo1SxqrCzgdPqqCB2R5hQPWSlixERZVsgvOOb4AnbykaqQGQR+aOmzHXKMGEIzVmQIEk5kaCkRI1lKMCoFBqVgFuBEjh1HjlQOARI5Im0yXkHpCODD3iIvd44YM3e66Qig0HM4nTy0MU8nz8rmnc+/6/ad2ycHesZojMYBfNIRPm0vb17uHj6+s7N/cjw+4kfku/mE7mS91WPJde/43vHB0cKol477dBMmnpvVGZ+MTu/euTfL/EyE1OA2LJ2ApNdMOZCk7U/6CMekzEFKj4ZiGcFdRtZg2mpkrWFwKNJTF0g0BW3NYI0EakeXEGtjEFIHciGESrRGGQYnKRdZ0RcwaVTDOQkwHSg0xgsj2sipTNgKArDDsmmQhWHuUUwSZeFVAzYGIfLTBKO4oo1IyYW7AVEfZXgohkWh1hPavghRbnRkyh90dk5XTvqHK6udydsLIq03jdzNaeaDk92D/m73pLvAN2LWP5OvXTHaRWVepsD1QdCsgu8+uPP09Vvscs8/+w5emPO2tzz36u2/Pj059Q3v5aUNB+EZDRT2pcZpR980Ru6ke2KGKNRWOxoWNZbtKEE1VgTJdi8EMZinsBZNqEBqZ6hNaGIsprvOB6Bv4xeeIWrkdAjTIlhu45Se2pPJLtn7zO5ECEV3LGdifgsF0i7iNzkMbUi7mPPcT3GRw4kLtRnmCESXFxgHKvA8ejQ9H+t0cj9WwYy7NQgQ4i5OCCloJFDHKGqCVMFXuwa3ZOkJBU5DSQKzxoJITAuD2AyQgBJ+wNQSkBuR0REkoRl2hKivZXMiNOYZXQjtHil/1RGDrOiYxEldAITRjsNXc5A+ZSKkaS2g12e5+y4h1djy/1S0cOHp8kmXiwiLWk4gGaI2pNxJMvn2FzvTMwqi8hbVx4hjRU4hG2vGBKQHU/mAvHXz1v7WoHO0U3w6eQbJZW2p/2xvjbuyDj20PIsrrbdOjnY7R4/5ScTiQid1jeP/4rU+PxDn1bO7W7vVve1MJkaK+d1lDFcW18kKL3qtj2rGh5Wf0kOpTammZG9cHOWLu7uDrIJGSsF8QJByikp/M/AMWFYHKsBqMixi1vioiUkpQYdgZgTYVEe2KIvN7oBllSYiHQvlfNo2TrE5BE1xWhMFtgJFLhCyU/j3K0THFMHA3ATsVK0Uj2qUMKiDquXeCJYLMCELjJSRHI0xCJYjBhkYSUarZSbk4XifR32Ol084d7u4uNJZPtnf2l3vXlI4khebXdTEKsAsVt67uFw+4kcseSxZY6W3nDOJnnCxpVjw/+f/6U9/5/ZrT994y/LS0tUr13ju78c/+Qfo8y3vk8itZ7Bk93adJTqV3LepovkzL8WbfvUxEqEYETQgzdlotTvbw9PCykLwKJizABTNmCdyYXUTWs8GZIpNtRABkTPK8oJTgggbaaVU34tYkdCyOQVmHKQxeRyZKBfkNM2JUNAW4Jg/spoFpmiK00jHKmA0ZRJyTsI8qfr6mGc3dHTPO14U0qZmj+WEE4LIofKYIFOgpUimjjkkljBFMemjiPO7XDTUxzYA9OaM7pLFSQia1JlyNu2Nj6Elz+GMXnRQOeAlR1ujIBOcFCUjq3wjUjIwTG0jA4Zv2FyH4gSVkGiK6JF5mN9AwobgKRFaZqWBZtRxyvHSn8k2GqWtHo+/PKBmcptdWiHwH+WEH2EdHfM4WG2F1POz2875oNcxjTxzqDNnR6RRzcMjz57AmiaHebpKMz4HTJ/oFOQ4pMYgOKs4Siin8zFiGY/JhwevRexwnzvzjRO0q4v3dofD2fhMXHhLtJ0P9rlamF5uONp5g7f09Eb9fForLae0qMrILr9ZvHLlOjeR0FRiSptaZ7DoC9tIa1wGTePmKPKSI0hGXn03W4FkZgrskacpTYG0UqMErQAeNAVyOBJD1uRUHQmjDKwxOnpgqoU3EkGcOVlNz0iZZIORC5iaYjZMTSMRcGR8ElcuxtMyWCbA2jpqMuz6ugKMPCmRB4yiUEdORVQtjGvRAhbeGPTSCFA3C07DJGS+yXaUxswWzAn46JRnXewPF/c7fQ6SzFu+a6VvZUm6PNp+9HhtvKEp56zgMZWFGWd1w9VksZWzeaLFluYjd1zxjeQf/4Nf5uyydqLPfv4zW9yDlY9J6iP17Ds06fpih81zBHfMmNgrKZnNbHIDCiEySPbsj8iaFs5aGV0ki9NRLNTIyIYcm41gASJhlO2CUj2KhIm9OvrjUg9U5LRsTkdBiITmQYjjH2X7ihZ3tn4kMUCCTXDi4hAFLDZxiVvT+UeMZeWGi4r1tSBOYJg0FNSxyGWn09kcjZ/pdu+lb+uzb5lkzgWRglbujZ3CJLAEaj5vCiRPItVt79E0h7OITl9wLDqOexw9rAqK0nLB4yYAZJCQ4EVNU7UxFgCz6WnquFx0zTAJIgGjECkMJ1H4P5cjfo7Ahyivdsm/sOOGIXDExjxBAJuMZzoK8SRkrN3eoMM/5Uja0wEX5wVrvtFznoZX9mgRQJ5OtY1BPQWm7qtHEUwis7SzYYZp2QUM8Lbz+EOglM6GSHmmMhmiNAqzMg0P7fHBLjOA630MMI98v3r15v1H97mtxGB+0yg5bR02yfHpEVcxhodLi4PJz88Dd7+3ePnStfW1DeeJr5M3JxrfM8dHg05roWSQCzBNz4pphxKNBtmEEqwEqVmaB2C2OwODUEoECi40qSnSFJxuAlMRCWAENK6NVN9lEi21rVEQxmNVJ6AoCmEYXiK0teAHQJGXMYqrppVwmhaA9ZK1jeTIZPaHOOG8qLWXfQndyKmUxEZdNMVjEsMkABZeNbBGpDGGmZbffBzmt9OMF8886pNUWdBMo3T6V8Z7j7ZXRxs8ws0hYFOPEKyUwFDwFIY5pVhspfUWR6LZnVRnXLH2B9yfufCp//PPVpdX/8Ev/FeYWfV+4lP/Kh0yFsa96Usa0E/OYJETu01cGp+hrBruQGHRkEmp3sataHCjezH/DC4ECHFXoBiugIEBKU6FawwqL3iwChA5o2x+lOqU8NI3Ju8E7IsQOS2LMMKQ2/gbaaOvaZ2qrHUUh0Bo7EKklQwnxfooW2nBqc4nx8qhQZhM31CZExvZxoKjm4YddrhQ2NnsTM5jSS8YWTltCdRxeWQS8NFRMu7ioUlofDmDxU1I7EG6ccou9cpJplhDxXFQaWgEWALCIzkikYVUAjbJ100L7hQhPETMv7xwSB2b9S4vyNIoJlv+mphY0lb2npZpoeRFXGlBNpnI7AtZpOJJeyzWuPsbWaOmY1qeK7MJg/W7XsiK5w3MuoOUN5w2tPWNcTXOILGC9LBLCDM92cUAmJJiTA9E6NPInC1omADoNPhmPotKLT4JS+fkNQmXHYc0WWAdn4z6g+WbN5++du2pV779rd39yV3tzGjRcqEvb7fUir8QlJW74jc3rm6sT56b5S6QalxoohdeNU0+GigIdJyP8DTgWVl3Cj0FRzAU8NRqIkugBoNeSJEgswchSwmmsYhTJpACKwRKC8gxnGgFrmnxUpGp6FT0AqaBEjKFz51VXThOWVP3BYihk+d0nEF6oBrBYgYf8xTSJDQZQIqiQMj0Ex4MepGgEcC1aGMzclovQalKFqwNrPG3OzAXKy2cnB4ddPeOedRnfjtNkSKnr4xMAgehK529x7sb40tsDmhlrcffXjpQuTlHYLHFP62109VDX0kMOa1srBzupF+A/qtP/cu/+vZf/tB/9J6Xv/bFb3zr69AOlga4mD99dQZXZGZzm+BRdt9qJJxzrBHPlgAMZ1QWsq3mRLBcgNWMCdgdU5SFdAKRMNOfOdAAZnPyIdc4XKa1UMwwxYohIk+UhSxq0yI0MhvvEAimxcuykVGA046OFQGWNQhqPhGnaAnkLkhDXATOdYuNpgpNCrJDS4ABfaFUU4TICPcX0hrrOg/K0kd9PszBFnuqQMKjZ+M20kalGNAgKBw1t72zMKLwRV9grFoPYT2XFjBeDCz9Aqx7WtGIX4Sx1mFFg4Cv3AVA5pMQ18SYp0pusWxK5zLyf+xomVjsU1HrphjlieSl5eW93V0tsM46ztuvzyLffItv7txfwVtFCgqGiP5RGJa2OYOLNhAw5gDNNJ55izBQJvQsBIaSTSCTfOeQp/C5QJuYzxYsnenVwGiZ4U6G4+4xB530aJzTzsp6evkjeb7juXfevXfnzv07acOmD4Le0dHx0REPzUrpUfm0Fp1gacVZq0sbl9XBGAiZrOgFtfKUtbFHKJnkmT9dQIQNF/KSr5qRHD1FVIRAkBwxUU4dmZ6Nk6+s6BFUGy8kSodoIwejgm+kFZU0ABRCy2KZTAgGTco+HHnMiSCAvFTHQAA8YbC2gdGb07AIjpwAAMfhUlyUErzYokn0eHLL6y0hY4jIibWIKA218nQsI2s8JorwklWDZDDzXVb74+XjtrfTkDknsKJjkrudwZXx7uOtleP1QT99qXMm7osFJl6X55vM9qiSrK09WWzxk8HkO06vt+L0VI+nuAxgy8/B6nztL7/69W9+TQz8fnBx7exzsMg+hc/FYS5fvry5yZf/WWF7fOc733FbQ+NmLcAHxn2uAdZEpEfEVgsyMZkKjELUgdpocS8YFCLuNg6KYGYJ7HsMl+e0kJEw08+2ZBttEQLygjMCkIsQF6HFC1oKvqrnhxBGcefzKxmnlGJMCyEkKmfJIAWWQM0Y6qCscKoByysqoyyAag4WkESrZcVSF3hpCA9u4KeFfgZpW9fwwsTuQK0QJqwFY+SlgSUlOlXc9q5kACBIjr0omAGQAABhsLZlqwSAZdbZfMOFD7HF9XXWpQX530Jzclz/W4hUheDT42hvyOSrLLN9R5OTodOGAKlx9mjbFyQH9XJ6eUT5KVIuYsCdEmnN4xDSsHElADYmJ2Nqq0k7Y7oLi70xv1riKQpDrvotLK5fSs8OVblx/SYve7738A6LJ16YA9W3X391ayf9JlGdReDQsr62efnSVZ3PmHi2TK04nWDI7pO9UjNTSpMg0Be6r9uumf/6iWgEFLIZYiwwkLiWS0xAwxvHLdKmDTB1L2gFk1IYaBHQqEYwBoEQjgKA4kBGRo2VIL19AVhvsGjRZ9YZrcMJCYBiL8BxxKLesgTTiiGSACAK5yCFhJDJIFpgHEgpxluAELyGS46YYpEy1kW2gG2Vo5u8uW+4sD9ML1TmkXLhe4wRU6E8fTXV87d/ubP/eHfpaGVpkH4AiyYmYOBkZGa52HK+kA6kHJa5MM86Lv1bOjo4Hh2cMuH50nJ8eMxvBgm9wONUeNkHvzM51ZadBEvLBWWmWgF/5Ed+5NVXX9X2gIjHuPMcrLjAmmR8Nj2U7iQCTeyR9ix80rKXrXJ004L0nhbWIxRzFA2wWhldxEYtQbQRgByTFxtgDiIFrK2ZuSf8bRhFIZDKHJhNSlhNyVFjmAT2eTKHXDVCAXCTESisKfVpwSoRPDCD5UKtwuAUw46XXByoFoShhrZwj2BCiAoB2HywHXkV9M1TXgvdeZh7gC+OthYCVkbMO0VhjU2QRcI0WWNx5OK2d27MUqfsooOvtgJK3Cm2WhAA30aAOS2Y1gx81PPtSgxW/u0Iy1wq3d9fWU33TU+LDjfT1vfsb5qQZzerhsgDpciMKiOmwdFMQyOhSE2PAI1Kby/maa3XhkBfbziHcCCydQ4Jf5ouEcaRQsdGpNpYXx3zmOjRyZCrg6ed9Y2N1bW12Kkrl69wm63yQf/2Z5+/9+DeG/du59NX3dWVjSub17T6ibmB9F5ALDWVVSS3C0qSZ7+Id/woqGrpYWAXEAMfH+AjBr1MUjpcGoDpqtdDFB2RIzgNztmCRkqFaNsWwsSsoI1MAliTSKexYC7Ahlko8NJHZa0paA3WQKk2f0zAI2ZrIeBrd9MKgy/bS1ZqhsunzAGw4UTeuC0SaS4gC9pCAypuNVnhPDzdP+ofjJaG3K4U5zyAunDerdjdCszgcme4ddAZdlaWJpcODCA9ckhJTnYuopUzx+BCSF7cJNrjqaHppJWsWupx+ur48ITLBP1Bf2FtMb2OMB1VuJSYT5JNIqRYXERItwiQRMHOFGQ5pX3mZ3/2Z3lbzp/92Z9FDIyxKVlKxrRxw4BRIPVZNWC86gQA1yGAtTErAfMgUOJ0FEC1mREocxKOXpZhRlZtZS3ALOX8nGtHNPNDxH4pyvwQWIHBKbDJEaASm5ROxskjUGAoVk7CY7JLoyAYIc5FpjD5RgH29ngEbKSVErzAilJ0ITqyxuJHhfnZDSnKucOlMQFpkjkhyMEdxAUkD25gjcUxi8WWGQiKCeSc6ADY6fg4FBJfgWnGZGIXBFACwiTNaMQP9KKL0/ieCql3rAJmpTywzCzfA6nLgTDdnTo7WUgQBqEYBw8pSAEac8GryN6zAUf5yhEknKJFg0nby5qaXyZv5UmgEI+pR7jBYHFxgddwcJKhww8Dl1bWN68+BVsbs3r61NWnlpd4eOH2tatPLS6mb/YEomiiItT5oAHGPj5/18PXHW/MARJ9LQfJ5NfCTkpqlzoBDZr0wGqAw4E0WIQFGKW/A5MGxbQ1s2nBmBYZpB0L/qLZmIMYhIQHZskRLP4iipAoQZJbTK+IG2kVDpeIUSzxq2toxCykakXRVsMdABvOq2TmA4MppMiR3XQOiqI06hzkMhqfHHb3jvr73eX8rLaIa5FzMmeuuDUCB5udo+3DzmFaYymWYdNUz4yMrQ0Cv9rhQM1hZLDQH6Qd2RjWWW7yrHbWWHuPD8bp9NSEnBctLK1ypottPQs38zERAqsrPiSIxFhzxP/N3/zN97///RFgWSEdWAKb01GNRJDSNbD5+7N9oRUntZWF4IgI4C/IbBJlrtrKWjBgztS3F5lQ3ERoiyK9wRLmhGgziYdR4mCKrAIYQgaEX9HHEMiY4v6DYxtz7AUyvoQwW2GNTTCEBnzBLUICMQ11IRJGGXKmqJjnZ84zSDmPxTLr9tktAhshYq1OqXexg8iNIZQwVopz45Ys3tCHyScP1BEwHLzQC4wyeiGzObiLSz3CqqFojOtYCMpB4FSPTpruhYoe3yt5sDjgxzL/XqKzpjw83F/MZ1A0sHHc0MQ+M9QMMkrtKTRVjDmDlna2eVuXOAAVVNuOJrTUik6tpvhkZWMxsQjH93l22l56Og/7b/fK9ZU+v5LiYJ9T+db9x53VS4v57UlsYvlGcpT0RSb29KeupaWYIlLTWUrc2Z2DBXzlXgyFAQiYYKOw39FEoL/ulBzVJJwcyYo5L18+yA2WVbW3FITgpWxEYnJEZVswqGkGkwCG3GDJ1kQvZI8DsnMrMGrC4DSI5XC2xhBCSgMS5jnk85lzqMmMFJIapWqloZpMvC2UVUwDjWGSvdiiCVLf92SCpzFhlApNdJAqaCiYuMvqqLd/utR6l9XUo/zLSi8SlubQ7l8aH3VZ8pysLU3O78pROQQS0gu7cWCgB5j4jsYJKmZKsEhkwoel3rjDAuv46JgfUff6vY21jZXl1XsP7x5sH65cWo6vfC5/Hy6yX/3VX33Pe96DzDtzPvaxj1XB0n7F0JM9JvUBAaXl2qXQqM/a0oWpaDpK46YtwDTDaE7kqGnEuy/zQ7DnNx6hxF9EoVloCK2+1FGElLXOUBqSdJEGfO2IEn7yVBQBdFzj+eBt5LhIf+0AACAASURBVCYkhGnPBQOo+9LoBQzmCCYx5Vbj0TPUGg11p8ZYo2wjs00IOUiqgHEeK93zPho/rpbpdRQljJ4SCWsZAGAljKxYwLhKyE8L+X7Cp528ElcGMxRoGnMG4BDIHNEAwwk4dSMcvwRDYxcEfTgdpicDmeZvVWAFsD+51f27kMGka/qTah1w0o7kXknJXRzYTxf6RxiykW+h3NqdRM4LHhyuL6U7suU1oc0NRphmHtpU+aMIsqIDCpT4IMobRWD55jjJI5LTFJLNx7qTnwt2T0e8HXBhTD1G6HVOFzrjy+traRvP3WbPXt183FuLl3LAEwt+yCnI3uuJWxSloRBFhkZCggyGWSRykAWYpmD2EnMGlmBhGCUPlD6tISdVKc1jwVQwSymNARZiJo1gAlGMt+AOatysrwXcG5mNJDdkRdFQ2CTytuRTZrmAb8REJUDlLPLYcbnHwTQtAtYCXGjAuIOikheySlxvkYNPbkFbLJdjwvhO77Laa/xh4JS+9S9ZEa3VXBn6G+OTzohLB+vL6VHvJFOMQ+WRFCnn6lJgjeTrRByW4f7R6Hh09crVH/mB925tbT337NsfPn7wo3/3vZ/8N5843BuuXpoc8OFJd7pRasb5mpRVuE9TYDJQrxp9oxUYQWFAaAQXSoGtVFdjh21CEFidEn+dqvHA4tS0XgIhYhSdLBFzgSRQEUWOF+kghExcijnxqt0VQnMalyKcfQsBL4HhT51pOtxEF8AMyAXJY84maYtSgNUdexUCaQCgFHo3YxTANBvBKGNfuOd9tTN+6uTU97ybsBZwhJa0zdwYRVY+MEgDkjid+DhBX9z2DsbMBqs7qh3R4RA4rl1ku0w62z5udTe/+5q0LfjIgdgjJ4E6bdBUnckwNYDnWn+VFP2eZJck/Y+CrT1RV38Gs2uytrEwWhj0eZHF0uLZH3sbkRNVbnPn0sSBDaTMdNjFkU2T+kZJN8CdspBKSyi+VLCWYgnFwrcz5mdM6kRKnv8nfZhJIZ0GkSfvrJzsHxwscrQozMoZJfELk5veCwBrT8zpNuDRM2nlqClNZ3FvIzczMI8eYA2RE5DgT2ty0MldkHwJaSRvZLZShEQpAnk0AJy7y+CrPgImhzoNKXOQSe8Ul9qZgLFsq1yUG3UNELPwADzUaOo0FM565yyw9WKLzGhqsHITuKgBm63gARl7AYlPbmFizmja8IgD7rLiBvY5PwwsgjY20w1P2kcaJmmjR6e/kW5m3N3b21hK7ycg24OT/aOFfY7ii2Pv+5Cm70pY+Qq20Ocd6pwnayaUFiquD0bE8ZDf6nY++IEPb+9sr66v8sCU9734/m/f/mv26tEJp6RPORN2cnzCj1Oa34QTud7xjndwvePKlStRSUhtNm0MmhSPvrdQdJFSNb6AaxgkuKi2r5pxlmDC1+GMtDDHJAycjbRmkEAUFes1h9ycI8BPzqoNU1Ca0EpGIFvKuccCk9QCVGKrTWg02j5LT8RGmJVtAIUoAvEZQ/L2lQBDTQJMmRTguqkQWs7aihJO1UUUmLUoqYPa3cLeQnfjdHzttMuzG2Cj2NQoiLPuo8GYRCKBTNiUttILdh+eRMo1d8GonScbBS81qTW7ort5UMI8fwBhVuFoBxuyA5nnTQgTkvxnKudDFFzTpRFTinFUTad2t7dWVtewa4fGph077Q+I+XkRusXpnNFP6U6m63nTNkHbCuMGiyZJvSknoxZmAviUqcokvjqbVHwBOeZRBRzM04moUxbgizyHa3TCWoq1D5cXknPuaO62WKZsar2peq3fPdzb7mycORTD5B6RNgWNNtOsC0GDiblEDVIAz8A6KTOD1OjFcCgptRcawEKaoYCh12KLNDgtJysrrRrvKOoUOxRglDQFrl0cy31E0wiDhCI8YKVNM+plRRMZnJWsdR0ZAENeY2qNQoC3KQZtVMY+FkEjj3wNhjaCzRyFIu0iE9z9wA6QDF1/sX/Y2dsaPeCUlaZ/ZHsimU3Bxpi4aDC8G84l6q1x03n30c6jwXJ32NvvLJ9yIyOX2ve3d7ktnevtbMX0jYsX7zRfCmxgj3dfYeY2U056MQXTAHbGt+9+h2PtS//2c8++9Zk0cU7HhweHPMGd4UpX+H/yJ39SB/QHDx4wv0X/4osv6jENKL/5zW/qQ3Rnh+djT8qNGzfixmOzFaM/Baa/QkY8csqtKlIWpvnkkQNawIV7BEh2FPCUOZkXvlzr4SobIVTwNSDKVjKwFMIpovWNApx1Jim/EMWOBXh+CMCcOCV5BDMUQgxUkEdkHYj9ij5GzBy5ToC4Ghx1U7LrJyKP4Ngd5eNA6sLN9DnYuaN9ZE7G2SS2eutgxISe0Ag0IUeIA6i+gGETcHMVyCKaxkTk3LYFRlQFDCUFMHVjJuqXwg2Pj3lSA5ey1FRieU2UUIk5fYWTQJ0zTz8vzo/OSm00yUos1QKlDKYagRJVdtefzJhUezs7axsbSZqVqbH8O0O0SBOHpgNGi8dZNf7p5qP9/Y21VXfBY5hGJJfohGLv4esLoyO2a14wcaRk2MesDDlap1f8sNZlKDQc0fN7LPOT8IfdlcFqutGkMbj6okmF7G7OyQse8HKkNjJHmEwAlJgU0eQ6uBnfKAgs90gewQ7EGRFnEi8/Kbfogqy0xXxuNxVCdSObeJwhaQBW84LkSk/kCiRNXZu5LZPo4gFEWWdSBCrANT4yF77ngj0myt9jxTTglNUhbwxcTHdZfVfK4tJK7MsZztkMPaN2gzPIu9s7g+X0YcfUXpr+unDv8R4vPxgssV5q/Rw0iQU6awYpWWDtPTqAerE/eN+PfuDHfvQ/Js7n/u1nP/Vv/jU/L+LfgMM8N7v3Fga9xXQPVj2yn//85x2gEJ5//vl79+6hJLBMGojW4ch7JkhHiR+EBXndhJYMFcsRa5g0mq8O1AazHsIIJpZKDCRZOfDV3CE4Yks2WyFAFckLq2hjIPAFhiYh2kja9AWJQjDm6lphdbMIdEFy3EGqpwRSLHNGARMh0AC++FlAkxdURSCRw88G8mqPJiU6Wob2zkLn6fwM0jnXCqGlyAtBZ5tMgmD+YrjIQVsz6jmDxfoJEkokUR/1HQa912oRo0DUGjowyJE8gpH5cBidjHgui0aDoecJnLzKhs6Q2OQzM/Rt4p4XVkk+O2xnWxPsDBTMMKvFnVi8u4afsBn9Nxemo53+ZrlRkJKxyV/Q01+udzNYI454PMDVaXgMOXU8vaiXr+il81Lp1qi1pUGvy6NutIyaTAO7//sS+gvd9dHhUSedHfRUr5OxiW5iZVAYiBqmKeBak5Ym+FgKx8mkysuyOeTyUlw4IadAix6loqgWCSbfJEra2k1Qtl1AxORuwqxw4odWTeoYCKtCC6CmkVGIwwW584x6lJTohSwwgsiVT4FxE/eYeSM4JsxRAhfBqFViSlGO5ESMJiUgdyejzCO/TQiAPdo0gVEQto8eDxd3F1bSDwPLsYj+TyKnFdB0gzb4KUw47BQYNrIv6OnBCgIsrS51j8fxDvTCsbGZ7213z1LUNFDpTNh4bXXjQ3//w7/9O//8ZHT84z/6gX/4S//oy1/90ktf+sziMj9BnLicubLYGCAqmfSc2Xr99dc1uDIx9PXGi15RJjlvJ5NYiEjJxhezoUaigQdYYUIJCQWBIqsEauPFT25aOQGzSS4w0E2f5CuiFLQ0IcelEYZS5MW4Fc02X+ndhfkw9Us9vSA/LnFk2gIJQ61uKpD6NSclctBINmJgo0QTYDSRdk4gyDk0e4JFnkKG826/e+u0c4PnvPMS3aooomLJCG0bObAibTJBIzwCBRJue+cjhPPqvFonBsQdcg3jRbYRYAjrZHKcFIiHcR2NuM89rScgX19d4cHBd+7fL1ZOyiHsMFMRjqkI5mxLTufUPF6Ap7qfXWBpIyZejk388dhWQlIwDgmWhHRHYGpPlkpJyvakFDJxZW2GpZvTk2faKNMFX7//1ltvPT0+CveYp+UUh8F0m1S+qJc/IdLly1zgeLJj4zkj8t0zr/Y6B9sPFi5dYwLAqn630WPVrODQzYAAUy18GqM8coW7djocsRYmNzFpRwMmPCbh0RgmQVEiXnppCjBN9DJB5Rt9ODJTsKKkFF5oiKKdCBOySgGTyUplDhINY2W9BQUSAFnDiACY0hZC7h6WNvLoDqeufqIUv3MQjJqIVoJxiTwGRCVIj4wBtSB+HMUsQOSxi5TUvJKZ5y+cHuffvrIjlZvFHhcVCN0f+H6pdi8HqmbokKtM+RwVXdY+Iha+8nnd0857xsKwsdoLqhyVh8gvDY4OjrZ3Hv+LP/xf3//if3JweMA7FHhTaG+RM93pwqBdZje5s3UZLxvahK985SuYjKQPcatjYoBcFyQyaUubAcFygQepParQqwkbAIojIouKWkqQyGRIQaBIIwbw6CXPr2Fj1yIZXOYgxS/Oi5MXhO5OoY9NYQh3wfw5WpF/ZJDcFot5qRETLA1cLjUDGpDwYG+0SqlAyAiMjPC11yRMoIJcycwhjybjFVF1BEhW6Ne7nRsj7seaPee9RkYNw1iMDDyi0sRAjnhkhh0vjx5Nrn1w2zs3ZhVIza450yaHmvArkI/IUGn8XTMO4kcgIjciFOHeXFP8OVx6nGk6l8SOldvqY6pzMhzmspzVJJGXR5wuynOWM0p5TLRmyjtowmknpc4/mU48014QoRjbopm6w73kHJ05/PF4wIXeEm+06C9wQSDV/V5/vLeQ7kzNfozibEOdaSSe/9eXzd74wd7OYDX9WooJqaHQFi+GJY9+qrxe0UTNg9166BMV5LDBDxgZJU2K9NSxpBhhfQOYZgRYRh+TgTB55mIMQg6VYjF7FZTZrsUW7o13a0V3ZB1npHSPCow6JTD7Jlkgx2SQo68yB6P02pJXlOjoZBRCgFijh1zWSA6m0QWl9eDFL6X0KPFVHQNJRi+YXApAVIrcgGhCmYJwFOAl7/xjzJmMHN0nU9JOTyDwNtO2nJtZUi9zydMt3Vqe73ZAFU9fpUcqpPswjZ44zf9z9vTVDLu4usjDf7lK8O++9TXeRUjC/CaWkaH7l29e4oeEC0vp2x1ldpM7x3em8oxjrqRBZ6Myh6gjljA0i80ggPAR3CgDo8Tt6hGHVrL4iU6RjL4xaGMIlITAF8HkFmoXxVWs2npxjUI0BiIf86gj1NbUAvg5gCIQyLiAxipf1zWVBqeOW2vw5Shc6B3CesdipmmZYtN8geMOeB3ain6pWbsb39iLqORa4Vs4j9W0xoqxYiCNJN1xjxAiZ8xHyQspPcdxth23vXMey7QIPNNBN2ABqNlSsFwg4a9DQIWvBsfKRDv9hOOJHcesOcLP6/K6KGETHzXI3EgrpaRJahcySXI6W+QzSejUzoukdAkuNdM/IXMTDBs6j1VaiqWig1u6PXRymLOQzWUFiM+NUsueyz/e9rrAKorXyHS1kFpOt0Zx0wPXwmFNB/na8T8YDX3fOBkejlf5NEpDno9jOoC42dhZrN6PGCowBV5bJNZg1GRTIuBeuMRAnocko3zSVAnTNYIVXfxKRhrwcrEgr0jOPkIyAJhj1gvmWsNCEyT8wtPEC1mCwGgAmwcryaOMGCFdYxUADWATopSs2ngE4ak1MggqESM56pVMrZcmxsKLpgrWCXv+I3BjDV752KWAORkxu7PAGDSf8pXX6Wjc4d8xey4nfzqczXmiHZFczjxuqkhlfjPv8UfDyWmqfJ1x8qlEFzh9xYNC5xMUVnp69vTVzE6nVjeXh3tHJ0NWdHnVlE689ZbW+Ga3sLq5sr99sLCYLpumfYYycw0SVzSuX79+9+5dPTIxWCZzhckdlfNl7ULaSx1Uoem/c9Dm1G7Jgs9bdz45VhgAG2ZCCzZJiLNKGu+QBdLNyG+lBEexYP6IFENbp85NIMaK/AStc3MUBI3nBfmJAhJ+anfHQuyOZY5NwtdpGBMF80elQjiQBTDIHFJ1BIz9iu5RJhlc5vcXAAWvN9Iaq/tUd/wo354kHnXEsSKVOgvMSgR/QsQ0JIOX1YNDkx2B2945j4XsWOQDlfAozV9zWiOMSCSrU/QffxHyDuDX33hj6/EWzJk2LJWmn5f4clqJin17umBC4P6kFCrpsqAjBSLMPmoE0Xml1dTkX3oX8Ux/Rg7qWuQBUWkVxbJpoZvWT6rTeal8j0bKgFL7fV9oVvvdg93HJ+tXPARsXHpO05Otbf6kYZseMdhTjGduxNI4jjjigglkGz9Wm8wvl8jpWICVPFbtuUoPQMRbBu/fr3FY4LQWJj6MKDgiqzYewdlioojZSUakwB5MdVbKmA8kKFXbXWDxO6KtFtxZkOovYBVjLEgP0mBMyOiV/8SzaayyU6pwmc+vcCCVT4xuWSRx0OAUecRITscOTl8cj9J3HS22wtG1xktzoYuDbc5EG85OU8WF2vHwKF62ayc4Y4knwM4YcoOOL68vjVcXOWoy9lyU9JdBxnv10goPHT0djCfXF0FTzMKU/Ymf+Ak+AD760Y/+7u/+Lq5f/OIXufXKAMAMrprI4ta2EU9kEww828Y1AsWEhYA7JW5LA9A3yrP+Tc3iz3GaAzXyT70nfx0OoQ5hsPsSOaNs5BwhxjIMJeSqrVSnLs6vTWN3CY3hjHFn1TVFtLVRELLRpFgxYp2SQjhcwQP+IjnICyR4r10cN1rNhvBap3Nr1Lk2uui1QkYefgoC5AjUFPhVx+QVKNvPnGpidVXc9g5SjhyCM/3kJGtki1FiLPD0V8du6vS9fv+AzNIZrNHoi//3/8Ub7TK9QpAqz0nQPRM57Zx6DBTldIyc7XaTlVMENMppfEan+d0RjfZ5yvV+5wdv8jyCFDd2c57P95ntcm98/2BPFwrddaYQW54RY/BZfGhGeV4BQ3ah6WOIXKhlNWEhYNUcAxlXZjRBqrYLYGTwCJhIiSaygxppwabIbyUwB5IAOQU9yfBDaZQ0+WYeXUyOoJTEQz7g0ahEmGVMCqTOSj/1mOeI17n8MS54QigfomByDmqiiZ0CqVKD7Vjwx3yEgcFgC44SrVYahpCSnPzyOKrPyOmrGd/YuDpP6U2uIZ5BTBscwPgtzpluT00X+UsyPk2VrjNO1ztE5yTTk5++4mdh5WWZIg1e83w0edlzWmAtciPCIi6pB4wrjxs92jmd3HcVtwTmD37wg5/+9Ke5ZvGNb3yDmvIzP/MzPLJB3xsAsOsyG9L45lGWO9tAgvSYXNi0jVvIAAneopCDx6sA0Izk5gTJ15ca3KYBD4/COWgjWOHAs986XCNyvtJRLBR4QsCvcNQSCkxszgc4ShQI0cjQ2C/xz49iNqKA5KwMVI5oK0Jkk8x4spV1cIzINhlm4cXvKBbsKH7w2spq2oqApu7y7ZZrhY3hYEBPiV1ASYmBCrnAY+UqIbe9Mwh+FBAY9K75qkOqkTYHmVQFP03tOPxgkF/yA0qDtrCwv7d3csR3OC2SfEhFsFwztWou7sP4s1fyML9WrnbDjdUBv8XpLAyOjp9gv27n+w/Qwva8dHK4f7pSfO/XbGHTU5CZS9rx1WwbCJDaGc/g89qIlbs+rjwtTWJ+BMqc3dlWSJilMKAhJVNFQYEAIFD4uJFVXUBPKXwdms6C177PSsv6yI8sEgT4AVMLgN5IyULGcMLjYhK7WIgmhYj8DielqBQCR5oqIqE2rYWaH5cajxIX16Ii/8gTu2Y9guPiXrgEEyeao1OrnHI76fCUKo46nE/S3VoRrftEtRkuRhm90+mr6YrozGtthodD5u8Z6AUa809fQXB8eHy4lx9rRa7ckTE85XIh7yjktFamT91c3hj0ObIzvvRd2wAbvxPk3BXH/d/6rd96+umn0fzGb/zGyy+//MILL3zhC1/Izh3uMTRemjm1DvrexnOQ2mwg2SskzwG3mZyYhRrJdFGvMRHo3Fh0Yc4CrrFrcUYqAUVpm81g5phiFxyuCIE+diSGw8SQUl8whIZFG06hHTRmIpg0hFO5eAiQ2hCRMwaSHK0cOnXEJFaMHjGWQdIF4a1EgBb3OtCdXvcm74TujP27QkexEHlEpS7UqRZImpDQZXdBLpzHYm9ij4sPKgNJwUVdQL7gqIInH74I8qb3IWuTk2M+ag4PD0J6T3yscUfenCfJh+gmmydwPFzudTkEra2nF65yeJqH/j62rfQXDva24oXCejAYf+0CTAxKPZfQaGry3FR+ZcmlZQ6OvfGox9NT05Oxx49PB4uXrwFTqUNIw1aGnxrYnOmKlXyAUXTHSEFLE0IpxaP8UYofxzn8mHwBEX6+oiiiSXB3FxRLbMiYCOHoshpswdGFFyHKiEcpvWqZsi5VNCnmMbMEWSUDVko0oz66oJdVYPBokJWSvISJXpLlQm2SGikG4+UybZJWzTpXw13ovH5TKy3mS1q9d3uDcI0trVgm5YLc6TTV8ZFOU/EiVDKUP2fQOZv/pKev8v1bszXoNJfZX96Tk1ZX487T129du5zfvz4+/YtX/h0vKORcP698dg/6rPH16AEP69WrV3/5l3/5W9/6Fjdg3bp1C1Y+En7lV37lE5/4xCzCVHJPLEwtk7+Fvm1KRS/mRxvMbBZw1HzyLEQzZ644UFsIAxAcRZ/TMUSEIWsKegxlvUiIgkcRHbewuulwRUQDCkH4Ov8Yrg6KRmPrcAVt0aS/uMxJySEQJMMvASo7zgmnEBcfWJA6rwZ/DITeoxHDcRX8raedi/+uEF+omB4aCoWgllCMj/rIgZ7QePmIjzsaPhX0eVN4Cd+2UgSsWDEiRyVuoj/g1ZN0f3X1aHjIbu99vuA/t+mD3bnIGkCP+GZCXZvmaFZ63B3bOToZLR4NB4NlVopzwN8NEwP2N+nldyOFN8txuT9+NDzorW0wo7wHNZIBSPr0WAo+e0fj4yMeUdE9PeE1PlzK5UQEayn+hZJ/zMlp0ZNhp3NNk7aRWUo5IkOvPUKaOD/R0KSWC3NbGpTSy6UtyqQL+Ziv/Re8lQqtGjYETPp0A8xKS11AE11iLNi8VwKmiAR9hEVZJsLRZXWBGn70KhEcZWDwU6MUPlotR5Kc0eyDH5NhCDTVL3cBchXBCryV1gusXqMs9G4qFs0U7gJ3VilQQ81KK98UzyMlV7oDVlqTlPiTxNQ7qWaSEFV9dDjUXVZ0gVs0bUf/pk5fNfzi3pwI3N6uZeVP/PiHeAEXW/LBo/sMyNe/+VXWWDwHKx9vAXYb3nNy//793//93+crNcOnTYXnH/zBH6B3DLrhzSClNq0BFoC1mYyRACeCaFUXADW1mQvOotnoaCWBIFE4lBYMiILCUXvWRmubrBCFVYHawrnLxFIp3IsmGFyoC72bDqRk9CluK4J954TD60nHVh1xdEeM4czJqBLi4mMLCcwUCSKXxoEkOByxSKk4AekECi+a31noPHPe7wqJGB3Jny8hcCoo9Rx+HJUSWRkGIZcL2ek4oaUBBFZEIQTMFIeWnHUzJVbCZ+e0l5IbP3SZHqnseiHhTCcv5NEAigk3mJtUOmjz2ctDw9YHPO1zgcvzTcD/X5duUls72d857A+WJq9q8KRiHvBRP3v0F8/p4WOBZxaxE6VJM10EoKTRPpa8CGh/f2+wnB6urclJCG9WzVJqCZEGDXt3ijT9KIlWyymX6axuDGGkBGiFRwBPCOmVFabZCEw92Qs4lUALF1Za1MgcE4rDwhSe/ppEKTmoMcqBmmKwrLiAl0thiu44qglSLjSNzwSzXVDgaAX8pCEULmU8De0ExCZChXYCBKUULsmR7GYJiumJa2g5RPF6maXFyTuSEyUDc+aQFmhjxPSgu/EJX8V4UVX+kWC6tDc9OHMjKrfasymC8/kip6/YGnNw7De8bZCOb6xu8NV4dXVtd2+HCf7cW9/+9b/6KglxM1F/erVy9hwsRlOk3HiLwItxPvaxj+mr5507d3g3zsOHDx2VQWHE3WwT/PEscodoxHv7XfzjFh447Rhp0VOixjJTWcnL8SIdsW+boFiOKKFITE1qCQUVLhfPRPx0BBIHNWHkRxYto5oC52LkxQVFiXX0hVVNBLKac9iKXnaB1gwRgJ6CRjUYCZpXcqE+d9zA4BLnlXxjLEchxO1el3ver3c6DyeH7gS0Sx2RBDh8EwITpaBtbOLCQKkjRKSwr12+fJk1Fh8AFEcUJ3jy1xaf39+ZlaPPaXpfGK5ybMykVjbvNjXuYhqNPHWCa2PyN3ceRXooMnK6wTX9olm3+wA9Hm0PuqdHPPFoeLi4vDYaTt7idbGY30coPvfSvWr722lsua43Pl3mMdM8UjW/J5H9Ks9cTaK0pGr/4GodNN4LxN283ZXZ03F9SpLJpglPPZt4gUk7HVtWE6ANZg+TgMdLeoWIcs0DWHjV0cXkCOh9JzG9iPfFC5ZpZnuAeBzOVnc8klt2L8BPZn7TaSqzIdjXeILGQ5YBEpQYMr7sPhKcZwGmiYmiQOAlULsjWJ127W4XUyHoNzI1+OIalkesjQidf4oz+bU1uZphJjWpuM38cHjACVitrnQYmQF5NNcxz4jhAqS6a0urAO7cu6/INvmPO+9827tYja0ur3Jz/ZXLV9dWJm+bZTdzgNlzsCZu+baPl1566ad/+qd5puiv//qvczbrmWee4fOD5zXYzYK3kzUW6C2csWdztp+8cJkzpYQpIuICbYwiGKHnhJtjcv4WCIGsGoFYHitjEGJEZRWtTyQTgoKL6uirIXUCF+yIkgfM3ts4wg5XRKTJYYhwimghplTLeAlfm6IGmApZxY5E38aIdKFwibS1LBK5KCIYmhHpoAgkw+8Knxl1rp527s37MjMhgBMvZ2UqzJMehgNoEZTh5YjPBtJ24VFY3HvECtW3vUc8iUFI5m0bcch7VFYfdbZWF3qrHP749BseHMwO3pGrSb44Ut5pdZRvcNAiKa2P8uciSo7hucWxLV39XOWBUKQKNAAAIABJREFUFP30dS59HORnVWls4KFHdS4HDxcGw4ccyoZHR9z9ym9quF25hn3/aJhUHLbTgzT4UMr/5dVqqtjQm/1x5/BxxqQqTUcmJLC/cYGHkN2TdBtfkvP3ak0/z+0UTJ86LeGw2kX7HRpRmaRwTYy5CICVllwKpJoCS2aaUZDBoy/wjojJp7W00kLDBcTGnctRJEDijsTQRSxMsCmidg00NNUROVIXXg5BLwDTBNPWd5HULpEzhkCOHVRugB0oOlqO0ZVV6kWaGuefZzFJIaTVVX7jHHqyGg4PV8MivnlQphTgj7h14PSoxw1X2hPOPlkUIC+fHu92TlhjpedycWd9mhTTi3dTorN/8+mrhsNRRGmg0HAD1r/4+P/y4b//Uy996bNvf+vzy0vLl9Y2t3e3YojZ1cpI8cYbb/zpn/7pu9/9bu674vTVo0ePitUVMTSDteXi6EeeNn3EWIbTtFbWQowInhBPGkUMYoYBwTUm5AjAyumEOZft6wzP1RBCJSIZzxgdmRIBtQxJrWzUgNT2Um1MDIHcOJIcF+IOad82ARJcRFV3s4iooIBJ7E1EiS4ajTqi8iQQJvWFcJS2/K1/rZeuFV6fu8ZSOHVKY1usR2FTH01bCGTC7GJdJRKsHOtZkfDTXZQFWOEIxPJLeGqUwNQ8PjroLp4Ol7ZPd1mDLvP5whPVBSioYhMAI5P2g3Q6KR2HdCYpCUlMb7bPC6N0P2pq5nUSf1GmnWeyD7XOxsODA65vssCKQefLvc1rh3e3lzsnvIGCI+/K6sZJ04flfJL/L1rZ59mU9DUvDfIRIFd5mPMvsBjmtLEB8SdVTd1sVDYBgy7xMR0Ta/qLwL/09lpOMCyu83PWgE1iBqZA0/mjzEuYACn/cLzSvEJDHPZi6sTYVIgiNeA8S1uj2Bu2FCx/OYxKZLGpgzYh+KQ7R3vmKhqy0vIrwizD4INP2knyek7kxI0wyZgcAg34nGD5WWNHBFwo0gCWC828ZWZ68dix8JI+Ko2sTYqCHiFGiS7CsCEQUo9at1t0apDj6krmtJsvp1fdT/rW4DRRcc/DkFOqA65LzIY6HbjOfmdm3bW4vMivCBNneg/zKV/R2Dj6AaPu2YpBgPHjoKhplDlI8kxRHn7Dq8D+sx//4OXNy3/vh39sfW2D2XL50uXtva34Munuhz/8YW14rgD63Gkjb1RyxZBsoqaQ2QCef5gEPteFTDylCsLGZhGlwBDOERHEzDQtduY5k0+EfOBxUqEgb2vmmOlAUEQRXjk0Rpzfl8Zw6osiAnBnDVY49Fzw5eYemnX3DW4TcKkTVtA6IiSKQt22izYGaoxSIIughQsRFV1C4aumXcgNuRETlUR89rS71+08DntyBBCLop6aUELjBIi+lrkhnYf60sSFiLgzGaDlYj16DTJNhBQsH9nZuaQvogxH+/vL94b7R/t3OqtLl7kHgbM/AifW/mSdxOGdBpq0osrHSthEqNq5BWHe/h5gDSI5H+zvcxKrwdauOt5+uLF3h6jpweWra53e9/qRDW++g+2dmGfJG5Pli5Y06XRTPqamKv3jgybP6GTmfz7Kzv3kuQBCCWVOraXS5OW/dLtKfgo3NTeYjPgFIRMyPeaou3LpytqlTU/vti4xc8AYFmdm7mmqal95oU+9bF9mRUe7oMTFESOmiBhd4gdTdClk9kFWWjhCxSdjTJ6I6CPeVuvTsDb1N3ohg1dBnuMyRaWgyK5xmeMFTCW6XwSPF33kuyIFGZcJUd5MDKDWDNA+7t4dnh7YekGhXl3JcWNjU3dHtPGQCd8YT7uj+q2CS0srzL/CkZm983C77U78dPxjS6a1YvLjcSezx5M2TNUZN/dg7W8dnNnbptNheW2RB8wIujDuzS4R0rELLrBATjLKNNp4s+B52zC3inmPJm6niEeG5IlWVwpKrY8iBM1mC3A2RgQwJ40iq6KJr0qhVyxMRFRQ5AvuxqbC0XIUJiHP7s8CyJRjpip6FbIwKBHYLueOQBGUQbaLA1lTxKKJSdulNrVpoGVnnsOpLkQAI0yUJxpnJUatXhTdLHIT5tsL41uj8ZXTzv1y553B4RFYKvgZ5LZxRk/aFLzA48hXH10QxER3cGdfoGZA7t27F297n4XMjjCA0cFOpv7/w96b/c6WZPV+OQ+/+Zw6daqrmyqahm4abGHD9dgPtoUfLg/A5YE/AYn/BfFsyTJG4BeEH2zpvthCQrSxuPS9V23Zki+2oaG6q7p6qDrDb8h59Cfim7lyZewhd+Y51WNFndq/FSvWFCtWxI6MHTt2vTu/56s7M96a4rwVYuL8+ibUtjQ8vNgCeDt+FBSXo0NNMYB/eWFcxNu6uBmPbs/W08WK3e4c2dBhMKQuRfQ/sngsxv9xHrPXEHIGe3C3gRAnUvFyZF0KfRL0baVqIsWVFSnWpbhnhhlVmEvVVmE6pSbmGh658AdPt3r9i0ePu/vb52nN0KCZFBTF5ShKICCYAYTM0O4QEKgLw0KnUEHSqYO+mHZsWwgWJJBDtYBtyd5f0wLWtJSzUGoPELXATI3A6D5F6Z6CTAZiEmhUlxBTShI39BoWEnoRcE3wcEUlm4GJUhOVmAPeirIsKGUYAQ8NbjZKWoF1dCHN/3ta8sIgUZ3NFs2uoGThvnCCxW6B6VTPBPc/DRE0xJ+LGz/4zhBWmzp8N5BnhFlD4mkRcZbEHIvxuNlt5cyZvLitDH6c9i97k0GcdkOwFd7t89Lz3hrYbtGeGEq2fcin3uOSD4bG2OoKAaRkGAiSHmJFRQACjUV6PaXZYAAagf2txdMXwcaeJaCIJDyA5HMFg23WjcFkozwrrSIm6twoRYsZYOyoK9Eo9ir2IEQyAVBEUjarEXxQmammtY7ZVg4gAeFcTZF05WqUUlRQepQiiGmaEhYEKnlr9QgAvPQedOB3eK9wWXtSOsfyNcUkkvysSkkRGiEjgbTfxGgny0AGDQQwWlSTZQWL9S06JiOgr4JgREFMkTwg9sfrt6fL8XK+ppfy8JGWpL9CmWWvjNmOH5UZsoTdfo+fnt3MQ88spWGwf371dHX7AVOQaTiyYdLu8PD0kz6ywfSfAuBn7nLhRhcdzm7X4Ls4X6F12H0e8rGURSNuiAzoB27UB6zYNStSpRe5cU0qTKTA7Nal1mEuxYxKRu1uC3sqNm3daHcuHj3pu89lQkVwUosgv/heLmEY42MSZDCvdFISvRKqgwrusmSBxaKicnZsk+qDtskwiNVDUSddYrcrSBNlXZKhQ3dJhNC5jDgLmLXIN9tMNUgSXLoaO1wkkBqiVfFc88QCsfGqOmRlueENwAySJAsZjIgNSgXjWLELJ+MCkBnCeC3w7s1IPE8hvNt3lSVh/spwyP02Kdo8E2yt2XGVFCnL2VeGDz3MMrUap1LNbw8c27laLNmL0GnzafjMMOsUbicIQXqr3Ti/7s0ZmHijkE/ltBvtLu8O7uZFMiHMW0nK4H0BdsWDxETw437y7bpfEjqhhVFSJDkmDUChgwEAMCrLtUR+IrNKFkUkKFGEZKuv5y1SCiMsRTXyEhI46gxKpTopJWuVFSCMwVn6LAbibF1ML/RSjf34liQVsNCdjlIkp3HN2iCMKfWVRaOxoE6pSILw2IYEKMvJrFTqGPVMkRUBSGO2iNbENjpz1nue3cNhPxbf0lnVnrNZMk64ZSo0sgFpmrehjkRWtYCsPHgY1+xHGyw2YTInsIKlj4EysqNL6rxtUFId8PCiutlodXudwXCKZePh8OLqintCcdN5Sblw2vdziQ4iGbnYgH+QLCFo989Hg4uL5YCJwubIhib+LIzDhP2TyxKguD20dAhVaytcHmZQ4coffmMoBpnvMAZXDerDVof50/b2H20ID/iwRHMpvMMhjmFRis3ucdzDosNCtxSw9C+vL65vCF2Eb9F7fykigSqPbQiwUzTEpw1B4HPDGGKSiYVGWiSHa0kyS6JpwbbQONuRBFFKiQQIILMiZRMan6Vfk8CgxfbFgzHtnhjYJAuvIQIYRfTWhNiylJpAJJjfippDjFYKPbZhIRhdjUBDhCnygPmt3AmmBbIwrTkmqmO9ym49EPDLs++3utPxeSZYWzQ6oWN5gw3muR47HSwLYHRYF76/w50odzM+dGFhnft7aAtUn51lJljbEIJgA7oqt9vOB6wKRy2xzwXR/JLZPSJkoOe3sreyCOZ+wKCflBIHYGgkuyYEyuY2HrwWT7lcWaTFjfTqKjJgtAAbQFYJjMVHVmYuhi6R+0sFUSTTmPBi3lana42E6PisNHq9crhJMqUAhsS3tshhyGMBU2TavQTTexDpCbIwrUNnsGBAl9TpmqVHLyyq7FEtiwqrUSIWXdhAadCtvhIjilPgni45EK/xUbitbHYhmJ8Nk0hLapSUkoVAlkgdV2RqvcpqxDoWo4y2vRsyEQUjZmvU5v6uSRs9+oYJXG9zwEzCUiG7ifAKlIdJQssuOFU5M4SVsOKN6zfnz4ft+prDbjiyods/Hy/LVg5KhJ1WFGIshBk9KrQ2/8VJVJhCsbQWDtkJKFEFsqNuOeUmIRRxMcBp9vCXEZw/cWkqLkeFFSnmVXEuFWQl7bUdocrVbEu5H3QvLi+uH+Uul26pwl+MUJY2BQiV32KEt2BW1l8pUjZWaDdMeRrBiKVbCS5SlHBJOIwAqgUAiqSLa0JvigRAbIoQQsqlB4kobcyFhXuELWsl0yYkeKVWHVMkUSWKKDIuDUqwSCxCqKMhzVQ0MufjChk0Gl6AlYwsAcxOsXA1RQklRSSkcU2KSrLQ60SGEhqKwlb3sM69kTybzDgKnR1XTF1YAc7yYsNu41SmWAzds+7oYZTLTvtodgUrN3rmdq5Sea2/j9vPhaGAFKMmRBqddzfYMRbnziQCx36C7OJic+SDleA+wRYNVlQO0PzWtAmlquoqvJszhcE6Lq1Jb5EELxA5ZqTHZ2EoScITwShSrzNK5FgyZAJUMSlh8XopMhuMTEoTyQcdDoH6mOTALu+ZWK83qxQyqyyAcR0EsooSlly9IBmwVEfTmzAmWchopsQtCY3PUn0cAhezELhUZbIA0giSgRIYLl3F/n6t9s6ydlXP2Y8lIV6LYNjxv6IIjMg8MbCiS6p1VZNRZI2LT8jysgJdL6sFDIzYjCiAxpLFanJh3Z8Hc+eXV7kspcicsayU/nAhTwlHg+FZgf1F/CzHTXo37elLGiMc2cBLXq0WG2GK6E/Gy/NMkPQzVI2PNNzOYBD+BdFbKgbmcMrYydpSxq1cQi/cF91ESs/4NtMpbZaKz/gONlAwu3pir8rlo8f9s3DOrXqHxV6REBRgKqXQE+EAwfI4idlUp2BCI4FRT7rUVKRLxqARLlUMFdkaSi9X5Jj9xgVe5hVpgcC4cs0DCW+il35my1rqp2jRFOcoRUXmoY5+TTK9ABBzxdrTFMFOyjXPF1FfWlbqIBaLCKhjPNozV0aKhKXK7Ao21UjfJSQrx+rTOqEPsi0dN7iZFsdWmVtSrdt8p9ueDBrZnz5hcrWdwUNLcDCZ493AyJdxzmGE9O3RBd8pbY3Z+0uj/tZv/dZf//Vf+1NGocC5cO2Rxif03tykNMmKnStNmCtN9GpLtatJgAtFcBmmCoAiuEyvWJT17NJlV4DqlfJyEjjRS2mimiy6VClpTyScnMV+ZhJ+aBBsAlEnjboaPgHgKidI6FVBQgiupLKiBE8C1tXYYTnW54xxDARcEYKdSiiVXl1NKU4maWCi6ChdHzTDHKtoP1bQF5PVxZQy8qIIvWB0BVDFcw2ABklWKYiBOe2dH0L8wqOCkqyrV4r3Wo32pDbjtyABNecFqKMXVdKu7XW9AhzEUmWsPUpI/erJ9KP7bn0ZjmyYTM7Orzi5OYmZowR6YqYzSKM7EoiYhWlx9CYu0RA8xxWawLI3cnoZR8BRYpjD6T/94UXC8ICPpSluMLwiFR/2EShxAkdDbyZ3R6jZLgBUYqk3+lc39p4ggafYI5BgD16ITZZtNRVBo34HAI0i04pKDECLStVbgcHAaCyK6iK9XpHnMnYDKFUXQ5RVyrQbmQHSa1n6HTBIWCSniJdSEWAb/Z0rqnGO+cdkesCkQc9KmOolAtVL9jNeAZA8L7CvVC6B0ZsiMGghSRp4qzKA0UsaNRIZRbBII1eQICruITQhJrwEYGlQEyxUwFjfblwK3TF+xBAbNdNic7Rap0Sairr9DofFh+69TTQmzbnNbf7ylFBr/3v41OVFI0GGjkFbguTBPaFxwvSbv/mbv/u7v8sWkL/4i79ISpMsrrf2UyP5pjJikKYrtlC4vRnGyMoBdMGVS4N8EkW6ehoFB7os+dIiGOKiIo9PlEqXJ/BKc2UGu51zPG8JjCjTBXsupan2eoscmCtByES+sv6a8KKOkDhhtoRtJVxopMokASiVDQAMTwon9ApQ3RPDlJV5EmWhm0tpSCn6sB3ObljV13fuhxQ02Cx1uUpVKcgoNYEMmgzElk0AKBmaGUHgpUj11bZ39lj4kcU0birOnau+nozC4ZBhmrW/FSPRksnmR1GG7BQEm9yZIfWO2eqOGgbR6fkb3VE46Hg6X7TnfKCQB/evYbc7Uyv8c3N5UW93H+7vNhOppGa75koKDmTj3CzMzsJ/sS8AMIVgvLON5xEIByKEm0dtb9IcpRd06QOaYwtWaEZq1jm7uLx5rO/jEi2kRLY6GvarQyWlSVZkINWtAEKFXcAn9MqKANV+KgPSpyyjOgV4mzOJPktpGAisK4mLIpBcfcVNjoYFUwQN9RKLikxyAlDKrVpiqZR2ayFHkyTJkYtML4DMMxoVgSzXJS7pkmTgEi5oSDJYAK4QgCKrrAj81RSBhN64PE0uzAIfvLlFuUgekTH34SnDnD6++eGzRxg6yyJ8r4YpIm/+heTCdlM5w0SAA7HGI04E3MihntR1k3F/WIrEAxYb2ZlUcTXyS3aHdDstAUTH7//+7//O7/zOH/zBH/zlX/5lUop/FWrg1TZccaL8aFcBCa9lPYshSwBThGokK+vpTS/I3KAsiR4vx2BTYapVpKzZYHoBBBcZYJKrA6bajEl4wateuVWG2Kw1RijxYRG9yEyvSQDDYGEVjHXd1LdEVBVdZpgAbCP8SGhUAo8mYGlHJolaywZjV0xSZJgSwETBRRIXKmAxpVl2aXy/vv7cAnvCnncl8EyGxJ7lEkZdF0rp4soozIRJpaY0EQK93K5WJssKFr95QOb82IqyWIXhXj4Pv9jCQlbY+dQO3945lLbDzyG6k8tpU6w5gb11+Wg0votHNrCINT6/ZEWWFYX8Qa2ifA6CXiym1JkbwNnFzXp9u8d4jGwaRSlMoULzhmkF/xOgYWlqXeNNI67xAV84XGrvhrCn1We2t4PjmiVSV2BpdfuXj5/YZHdbg/DXG2EwfYTmo1RxaPhcAAcIH/tW6CTCWJB7LqmGwCSjCAKIVeSJs7C4IEYXpWLhapSmFMCQouQqZJbLUwqGxnTJwoNcZhIS6K3MtGABScdnIsWIQTarCIzhMa+iLhkjaXAxPphkkyYaT2k0AHBhG1cj86UehoD2gtIjc+FjZ1dRCKe0s9W9zwTLPw308jGAZ45MkQia8NbhxovhT9ahwvB6UvgVE1jCy0BemofjTqx4wvO+oP2c5ygusRUsTw5Mi2p29ad/+qfMrqhMQkBWbSA89OWroFl2MLSl9Sg1lb8mLLKBK1wlcZlwWRYLTZchBViUABisIn4oowuNZFVfmZFISLKJkKTUZ0VpVwW3J7BaAxTFBFUrtyprD/TSZaq9UsGmmqypLnFjVoIw8MLlS1Eq7VxJFIFBnYwBIMFFljHIVHsJRbB0SVoRjbToaoYBwCvVMArgWiQEPO8VvrOsc8+0OVYJsYpUI+KQoAJGKbMrs8G0Z6sMi3xlMcyzQgaC3NPe0cUBd3weYjpdcLYxv8n4x5eAjbfAzsNjZQHjcWhOb6RZS9btcsURMfPLN1d332bRMBzZEM7L6U9O/UAhrh6zwLBa6D6Gf3jdjxtSGMTK2pzC+F+YNtFKcV0qAGGFigd88d298AZfnEuFB3x7ByIc5+DjqLdO23HtoG3Z7m+jyTPBi6tr3YPxRjbkdsRbKFQ49koiluhVdlu4+0uREigAdSIA6YLrUBwGUaKBS+ODuoZE7TTtQ6qFVKtPAaPO85LdZ9rlxCh14tqVZSBkWi3UMcXIVXIgAJBJSEvGMYqIf/06IuQozWjYIbK6KJNkESENQHp3bHHQhswXkVXyZB72paoXpVumnI5xcH7FGQawexUVYdaVmYyGcXLv1rHhRqbt6GKqGt86zNdi2Pjh5xWPFgNjcRiggLldWHH0a2I4Id/uArQjDu8gEI7eCzTV7/3e77F29Sd/8id/9md/5ouM0SORUBK4YrEgICtYgHqCpHEVUC7NyMyYcsBUK/oTYmkEKbGJavpAGHOPTGiUWF9Tg70wkekq1dZvPdlpsFUc+RoTvRy8AZ4EMqm1JzsNlqu5GiAt8oz0opTKMrjIhqwiiGHP4ssxiNWdEnZSlljquPpaYwkuAlNkTFYOmA+a63fDb6jdOpY0Rs071aomV4RTxNjKS7gAYBCia658j8Q2WDaTgFig4GRLll7ppRS0rtQjeK7B7SR0bYYMHgR5afvwztR9/CeS63a6o9Hw2AkWprTPLkaDs4vViEbiyIbLDofWFP5qKjGdZwNs8uDma23N79kljx07vcV8YIyaS4W5k/6LZ53Dg29pyPhoL5lLiXXnzAhts9u/Jr8qcATjlnT7N6uCCV/n7Pzy0Rua7ij26GUah6vEP04TFyxqRDAk06WsroY0gPiULgh8BzQCD0AjXXBpJIGFRFbJEwObas8FHuIie0yCJ0AXiSJ0gTcaAPBIowoCKDXh0bRwAcnVcyUwBPw6EpKGsAeI3GsOMsKFRrTLjWSDylKlVgUYxQvXQSORKQvFZepMWvRLcaiFke3AVEbyc6+04Gg4DktO+xOdSLybXZHlNZ741mGOGN9ycTGsxk9bGieH1KGoOMdu2QDlhTiqArSjEBjevVI4WtFv/MZvvPHGG3/8x3/853/+53jzrS++8zO/8gu0yItvf/Tev/47IxMg70MmACRAQqMm4aqkUhrshLkLgWUNbwaY0iLVEKA6YRT7q1xNndVd0sxIlEr1J6cd1ajL1sKrpjRbdwiUsrwlGEKFhkOa9KKaJD8gzQBgaLjaTze4kjAr0aIi2AGQKcDopYWrAMMbgGpNRLK1NhoA2JFsQjDPT188pYdFz1XAh83aZ5kmhW/phKkS3kAmiYozhsoA6k53tR6LNPBQHusTxKICOVYvJGAz61iasUXNuhAW0cA4DjDBCtOF/JT21nyq14iN4wNWyoHVBUO/vnlr8fybvLIdd7uPu/2LccFezCKxMxYMZjwWJEB3DiFU59NJvcHLiWG6j3uZU/G/TaS2n5EJ289h23KWuS6WbQm2f4usyuC3DNu/GYIsYku6/ZulaHS6lzdvZM96VTjhXvXlUH13c0UORaREII5iAOdqI0CVDg69yBT/yEQXyES4stJrqqWLmAcDF3KKGMVuusiijgRQok5cokEF9PyGoX9JC1clqbYZknEZAC9GkoUeYsPnAviQRBHq6Npc4dKwiRyS5zIDPBIWEpiD6sQuXljMSI+n1PR67b4iHu8t8XBYuzpUd0+fwEQEwxpv/2Xwe7MrSgkD3OVHV5DZeIJmybuIBZGWaGHShsCskC1ZccmWwv5uHtN6n/7qP/u1r/7VX/2rv/lXEL37a7/4+J2n/8f//L/hrJ/7T375C//pL/9TnGPRPPIyjWT9yreBKcgFYK9ILC1mnmc0Zyk+LJvV6LmypUUYqYYXAsEJpTRKe1Id80nCUj1rGq3uCa9pR3W5utxS2KlabpE0coWApCz0ANgABi6USi+BK0sS85IsxDByTfC5WSnSlUDPGimNSCtSLWuLSqUU+UiQFmEY6RhPpQ68irgmcsiSrC4fcHYDT5bqte8v5wwKFCGNfpG8EJTUVKqzUzpTKiDhQjjmyZNmAL+A7+/v+RmnERN8s9lhjAnNFYcCPhzNGzOZiuyN3YmiTzTb659NxiNOBKiuRbbyoHPcvbqc3eGHcGRDe179yAY8wboXO2PDY939EZJ9rc9fvuTJ42Sx0tKUroT8xsL9YwyrmW281ch3VBvG/XvrrjgP2uralrl8OLWLKUnr8uby5lFuUMEEXkU4ligiLEESSGSVLNi2GnZ/VQS7wg/6EmJjMxqC2RitVACiAKAU4EtRByOY09SJi2uodrQcGwCEkVL0MiAwkQKJLkorqoPexhBVTQLBAyQpqI8JvGZa5PC/GBldQeYymhzzJIzmSViqcEm1mhuB4rKrqcgFFGM5VXq1tatoRo33aTv735yRefZk0JvEU0KbYOXaE5tS++U9XyEcZ2PhhpWhyBWfoXKIcEwDgkhqD67/zX//337pv/wPf/G/+tWzm8vh8/v/81/+7xqm3/s3f9e/2oyJWCzGg83vdO1AeCVBKDXzrjhCsgdQ7S16roZP6EuyUpcQgBQmV7snRiN6Pea1wDLAa6cVTLKqaXU3fBaABiGiz5aCkSJfJKX0RhJKReDlAMvVhFpSdxmZIL3wXBiB6DIuaZQZRfSyARY0ZudYuVyGhAt1yEeIIQ0w7WAgMzwA9PRVRbVZ6wkSGMMYgv+/9fpqteax3/QsfA0+oUmypl0Av5KlyEwFIJVoV+2w3MZxDsfa2/YeZlfcWDdBywDEHJzbZjyPAHMOWJgY/NqzNCjVqy7Wm9u4fjr9aLA5smE6rnhkA8PGmDWqsCaVxgPnl46n8+ej2bqxuattDduq3f7d4g//TTZwHGbYURyvbNeaYcdXi4W4Rr3barabDa4dzvUPfbz+Muz620u4grwcoitxBWB9zXqQSnc25kHGSOOqT0mapzX1HgmsUKe91tf/AAAgAElEQVRUeDMgIfNZUweX1IGRHE9msFTLNq7gpY4rnR2N9JGSaprkiuqk14wkK2caXgBXaEgmX3hMEsDUh99pKIUgOxSbEAHIMddRR1XThCNEybgoAuaKZCG3JOEvGkVg9AlgujL4Aw86E/oki1FxdsXpVnslGMOqGObuYWOGpwVYyzwmWyRM8EWdDRNhS0aVFHwym3X3zmfO0VsuCgb+bSZY1qLw3H732b/9H/+yd3E2G4X3j7yU8f3w6dOn/EwHSRtwLW8DNZgRSxRIuAg48XJNwktk2SteKmrULDEY065Qy9KgWinXAO589pQny3sQI/+YDVn6rfK96h9VQclEjlxqKqQ6RFVM1ILlDZFBA2BX2p1SY6wC4CuNaOXEudXHpVZBVT/X816yrE0q6AlyYeiRzPBUJL9EOyy4rYgRdVSB4Vh6odQWCvrJ48XqYl1/EccFawLIZLyvQqIdO5GpmuZWJ4uEHoE0hPmTbe9Yxe6icFbFfLk9gCWw8lhsuZjHz3XtD1pZuT8oDB+uZwhjo2+5wqy54ciGs8fd8ccwcmRDZz7ttNu8D5iVE+4PYWzhCPhweE6Ts6D3R2dKp4vFw3j+crLAHubjWyEG0Hhb3BF/HY8DKwjYUe9sKWYL61KNemc3l2q2w8fQwg+mLNNNc3W/mLGPjYCxmMmSeYzIkKf+To/AY54gF4aMyCQR1VxDG8QEsYCSngUNLFIHcTmltEOW2Ck82rFcMFephpLhDtjwAFIHcZUKmroSOylS8lqAJd+KEHWwgozPJHjhYvBUjZgPCZnItyzEBsNCAiPLyzVCQxKvGIHBFHHx7MQUCWCFqYg4oczNojx3dsUj+/jK4F7DmQQsZD2bcdgwGWDNbGk0HjrHZEj2ETwl3E6w8pXuk6c54wl9INtaDEXMpVKm+KLpl7/85a9//esUaXBX42UprZ0ADBaZGLMs5RiFiKcBQwKjqy8CllKulFLBxIaEODeLneWTj6A+poQdn5g6gFcJuESyZVELjIUk9QSNMuClmisJ1VSBIs2JjV1ArvEJTVFWBiQSTDtcaNfVVx9rZWeR2Fw8LAyX2SiVdlmSZcQAGCk9VmNwXPwB4BnRrmBQEbMZNJoBAOBf1Go/Q5vUay/iwA6GunPN2pZgEH7CHAvJJL8AplcLsTP4qsWXJZgMBlXYwaDcO9/mE/U/jGyn2x0NBuUTrN1dYt/C1tXj8fi2X5szlvMBofOLDi3BMoQ2Tm3CLrROYAPPwhW32mR2Fba6zxYvR7PRstbudJ2ufHDfhJLcyezFjByQ1agxndK6FDOqDs+AW6xUhaWpElN8UZNlrTCm16kswUbk+PD2lAls/ZfOS5yTNYzFv1jUC4BjYG7WRUAyQAlpjIkKnzXDYMxq9JSSDA3J8FJNEbWjI5C1oiLA/GBysPMgo+yUDfRBssBiBCYVVZYiWQK9aTQbioyEy37UscSubd2oyI6Kkp+rXXcKVJSYZwaYBNWRK0UgzX6MZ6Zn9ADUwrg8viKMZGZX3V43+VUTZ1d7irIC+WBFwQRr423OwWKNP56qleXOwVAXfpfSU3LKSlH7Abfe/cRXryvlDQ3zt3/7t9BcX1/jSoVUOUtSSqscDCaxIJwErCvBgUaLSDVzaJJtvCaKLCtGyx4FwCvtWS7p5ZobUrnIrJASTKh87IFUGQBKdBmgLFq0blzdq14jAqmgxyRwsCCmBE9WEwKAiq0pCWrB6ixb/aH6DCuJV7GflCClyK5UkFREA7tRegB6uLCTQQ0bgPGwDqwia1xBvTMArm83au8uatfbOZaXWQ4zUKICCQj0lOYBr9cIICYA1PpiBIayNuQBXJ2lrCdP3+akhkdXnWE4iOCIp3Km4hME4peQg7WZlINyNDTH7PJp9/5DZhfDKYt1DyteN4p7zrYTjk1/YWWrxYlgoes4ft484icHjwWH81WD9w92t2ectqNz4A55AAo8G74j2D1p2PbF2gsP+Hi6x1SIiRTTqVaYSuWuTB0wyBeftRuT0QOPigkz3K5QIchT73ieCENMElp9gSxCSPByzXDsEBCov8Oi21UVjfAbIxrp+5vA3gqWzaim4+iXz7Zk9xdGEnnZuSsogGQnhXChTlWTolD/mBJWGWmMcEEAobgS4iQrXtGLEbjEVKxCsmhUZbK4FDyiwJQ3hBi5kmCsolHECCcByy2qHTDqQsW3wQucXdCShCrXsLy8qnX7+kxNaH3k19f8sGDb5IHZFfLRznEXcZHetO31eZwX9n4c8xlTXKqINYnlwJ6+QBoQm2MagDCRwTrgK6Tg2eOT2kZ8wCRgXRNhatHQsG5oPE1pItmyUf/GBkN6gDK0H4xaz3IUjHyinCRL0AWMOgBTHeLmpOU3b0lJFWSDJ/YwlpCK2IvwXkICIw2NHqm6J0gjiPo3BuCcEwIAI+VhRJlYA6TXRi7wdAH6lYjpkFdXVyhVtqL295s1nd2gdSzTVQJgBjZAgEZV2VtLFUgl7EQI7CRZiLTeo+bds0W30Tk/O0cU70LNwtL9Jq5KRP0gi9jkPh4Nz873Pq24FxzF1rTPL0fD/vlyROO2OVSfjeu1RhzsNwJwBU3ZCreevXYny5TsYTK7nSzD3EpD0EaRU+7AYit8ydEMYuYJAs/1mD5ov1S3zd4pFptC8tJfF3zdXj8bDfAeflC0WO8gi1KiCF0Aid+yQQgjxCbnoIVQEqiQwQVvLiN6uaXJJBMIJYleaT6R5UZQBFivQaBowCCqiF54zLPqqz+SRWPWA1k5ZhhCSBBU0YhJnlHVD3V2piprNTLVcilZe6UGzMH7ONK8RpkKUvKpr5JpAZABpg4MXKwtaYIV/XPKlEAqwtC0bnT7YfSLw1St2earQb1Ou3f78V2gqdAbprOpm2BlWnldY4nr4WFadHKpLPFX7gSc6YwrPLII3te3za1rYfMHCTbqZsy//du/zUkNX/3qV9977z1DegDicsW+hYwyNEm84UkXVwFeci4sxtyiEiR61bWsg3liac+GrGjgpaiieV6sh9FLwnjzAKXIJGva7XZOEcRqCy/kFWHpQnKuHErReEI1YanYKKhQMgO0EwuknMC1qBWMBQA7GXx9D/elJTCMDJRehVSLBc+wb8mGJCgLlppLNKRF2TnWxgWZvmpOULtzxauI89am0vPy0MOo+Fms5vWb6Rvt6+f/OCK6Qt3p560GG90b9SaNnSfgh4Cj7onWNJ8Uu2zw2/XTxfNvMaCMZivWe3idsFlrDCcT7oRsWmaaQpWTwKbIPRZMtn9VV+7sKAIzwvB6qxGXplpNzu9iXarbbrE0pclUkZjXjmdCebmeDhe98FR063+8BEyvRB39q2LsKWJh1K98som3i4xHPpRwqaMBk0RMEXLoj0W8wttoJhvKiSk1MhhD5GwHHGASBFzNBgCjN4DORYJSxh/UaD6EC6XIJBnS2CmVAYaRCiitKJfR0wu2B4g4Vg8QYQTJNUuci5GpKqLiVvdcYpAYybvJYdMUfzKbsYq4svgwo1rXW+0mcnjo3emx6BMahY8uY9Kjtx7dfv9uuWZ6nWXdw4T50FlYmt3DKhN9gApao+LHE+HDddwX1C9yZG5RGf9uEevaw8tB/iPGb33rW7/+67/+ta99bSsk/Us1qLyw2SqpUbkKMDKy2SBLReflUZFlBKmUxxFwsKDxYKDksle5l6MdMvUEYHTpCgaYFCKw9CzNXNVHIeUBawvPK2Mwg9IiJ2ChyDxjFRhGG+ZkA9ciRohJVorTiuwxmlwAIdTFizIyb4MsoeKUAgOgDkY/OWPoASk8P/60p8qkGQBLlUgQPSpQx5WszsdioLhlc3W0JLjAOcFUJAA0SMC32JYUlWdhRDvTKX7tDUaLdXPZ64VbJnLq7DJqNkazBdtvlrt2KJf3gyjlOGtOpdrfAlVVb7t3Nu5cnS8eGOI5FovFfz4+MprMafXrizM8L7ebuPi24OLZcMrbgv6xYM4bf4WBbMI8sEdNBnuaNbafM+cLj/nYMtULc6nQpsSH5/yhwGetxmwyWLXSE4ZkDEaScF2VWIUFSnUrBS3ZJG7pPghUp7D6ios9MQDWZdBI1mhKAKmAEclcYSSV0KMdMhFIhUyCC1FVlJp8qyaYiozixQ8ksZg0som7rBZGo2oKX0RsXAA0h1oERkY2VZwfWggEVtbTgyd5DLCqCYCF2VIjRtp0PF21jhupjB2AY1F4ONg567TYwd/czCjA8/uIPADtdvP0+u6jwWI1Lj8sBVM58G+7M32rxAUU1jJpm87CK3oVEwJLJlhOtuRtEfHv8G40fpjkT7DwKS9+ZxvDm0V9SB5TDtNmVeLDhKBdBsAIki5hRQJkQEnzJ/RHZekM/JBCKckskT3oFYBqErGLZO8KWI6qablh0i6NuZTYIHUAuQQlvJgt9+YyGjLXBnlGrcC1SLsJMYD+f4KLVAvaJfEt+Co2QKNJFQAsDD0kMZZ7AGtRamOWXGF18QAeICFTyA84Rm7B/Kb2cjduePJCGCFoKXKRDOAqfgGmFOdwK1+PW9PaeLlqMjoQn3f3D08eX7PUU+//8G/wvtpsch8NHhj1PLI63Lh+c/V8yAmvYgmtyQ/fNo/ddLDMRhLo+Fhw/nIc3hbcn+VkHJJBlNiDvkZ9zfShG3dKhe3nLFC1Xs+WqRK9r1h01Vw9G963zq+yctS5CCrNBpK+lqU3DCxELF2Jq6JRfQEJRKAwRuwBiqQFXhJFFZUao1TDKC3qEbkqPFIw1gqoqDT08DjMYqpqStbXDu1KiS7k2xiiasIlUQllkrVqgjdrE6UJy9aE8KkxFdGaZq2tdSVcPmuGIapIKQtO0/WYAwBfvD9gOtTuN9s91mYZfg53ISZV/A6kn3TP2vB61YL56WVI5lXXTy8ePuIzpoM46bKSFJhO3dkKmbkJCPZ48VpM+UTNC6XJaDjzgC/aF7/Nbf+OB5OwfNWICzC5/Hj2jc+//fNX9e//w7cHz+NzUCfeh5RDF4KElLWZiCwKAXLZUKEEQcXoT+TAiIQE6bPqJFxlg66wAHBnAsBmVMvyclFe7LEw6pTU8RJ29JIS7yU0ZJGQRVbBiHFjwVYIWZQaezQhtUGRd1rTmGQPyAYwMskXCcYJDBmEq4aqLEGCwWxGE7gAkMkyVVIvslnHglTy0piNSSn0WRZRykvwGqM9Kzx2jiUJBKHci0xVAby0lLv9pv3W+8/v6N7QI6TbWt89DJgJmGE/CoDcxJKfVe1Yq9hEVWfE3X884f2PwPhYcPliOB2HtwV3o3bU5ZpKundNl9pCb4CaYxHC48i4ZSrsmopHJNBt9ydtKe+PWh5rr9aze/asFExtaRGiHU/S17j6mAdD0kglV3OFnoCkbyo4qW90SfAmvCCreEDdSkqhh6uoo3n50q6rlMqYikqtf1EpGVnes6wiqhcambtIOxotlVgOzclKzTb0kuQlrhhghgmJFm+DMVJNnszKYC1recYsbNZSJKUIHi9G0/po3pkwwPQumk/Pbj7+xu3wIUzmkNxo11u95uYfR9O7+VP0T41Hda1++BWyb/VOeavVRswuj9hG7fLNfv1ZY7K4j6OaL9zBcRK7QPQOFSGLP6rQbrXZRJEQlGTxkh65Go1J25dNyG5IZpP53fN7Kks+51M5okLu2196tzG+7N9cjm8f/vFr/27DXe0PjiaJFoB2tTYWMvo6XMrlwXuQpkiCQpCHJgAyRlcESiwAVvlxwYs6uBXAExucNRgMCQJdjdIAzCCpPyReMppyAHZVNpdMkqMVOWaA169VyKIhB1rEqyiqkadJYDPDZg+eQAb4ocGXCoYGIVyzRWDAa6UKGDImRjZ0ggHWncPMEJIrSWJzbaBd8HB56+RaxRzrZ1lhWeWsY8kGrqZdAFfZoNkkSosqa/QJAH37rNEYbgYaHls+vrp679sft/rhG4gFnktkfFLZTW234vtnZ9mt7tvCV/07Xyx5MPp8MF3tPxakqXNEb3H4hzbhISN7pMLbfHFRKh6RQPj8mM2lcqoZUWx0GfOgsM1xjttq75MS7Zo6AJAohJJQVNKYuc+xl7MurN5HQBpmjy6TgRIVoFGHAQBJ8McABhcEJkUmDKUiK6ExYqkwpbkG4wEEehZxIV+MZEUjsiLDvARoEqWUlhiMZCUvRBhEkeD1RbkwGk0pIzA2wwiGBs2lNyRkk/k4zKva49oZI3DNZkCdfvszX3788T/dTu/DDHs5498KGN5A1m60us3eow6LVW0elocXS1JPmpbIwmsfHSiS8Z2vPp+/0W28uBnN7hrFn7HhoV7rbDfBSoQgnwNi5qzll9rg7WFrV6/HVveA25fmcg7kvK6XH92yREet++fdnSleKDCt1Xt88R/86i+P74Zf/5/+6q0vvfv9v3/faLBPvQ5Mrq04mkQpVygPdkiTnADwKiASvLKUKmGDEng0AgNw5W4aAireomRPrpwECWOVYDUuUw2APWaACKSXq5JxvXbAm+GFg2fUMO1J1XAOpVw9S0UYUdQ3ESgzuOYK2bohxAaMZHPJSpCYysir9SSRIcd+jaGXgUO/0mQJNDJGujSxA5b2xPgivTL7BEeh+oN2/Wc5jImtUXHxHFEgJdCuRXqpJpVVABfRZPFs5KR+BKMcJY0315d3g0Gn129kfuFlJXwSmNyACK54BWVFvFR5Nl/e87bgeNHcO0QUZRtD+AM7jxO5eXIOAnMpLUrpGlZpMK4gjF/B5B8V1pt2/aPhfffqEVG9reuuiegXRB1XkizGFSIDg3srVkMDC4xogaWIN3p6423+KGK5ChCmiDdriZSCl1KEWC2yxAlGGjFY0ztK1fsOajcVVtmKeiHzBlNZlCJNgJkHGcm0GF4AxKqseKFMCJIsBPaskJrqJGqQ3KlNBTJJy/VyshpNGoN1b8FK0i5EnER+iDz94uPn37obPdt7QaHebvSuOmePe/3LbsXX98LsSrfvKN9Xg7Wr/qN2/fbRaHJX7+TfsOKCU3xS4czzIN83HI2YHHrBvjyF8QZvlmcWv7fs27+w4T1mV4O7AVXunnV49Nnk5aJU3javqCLXvz7//D/7pflknkywJJGrtceWNf2Lvw7SpDwxD6M6vzo2ODBUQw0AQMJObkKCvRBoSKfp1S0tK00GeLxg0y511luylK+IUaUQApCIwlGJGSIACXG5SVlpifAk681AbyJcZpgxCa9l4cryWmk5II0sMap2yGGAIEjEhXneBmAvTbF0QmDAgiLYs7xSLTcSPLIKpWbGNxvrdxbr+vH7sRCiORZKs3p9vYDVLlxX8UbGbgiQrOE1auH1eN5c4yOASON4wHQraCLotWbTSM0I5xkm5wR2uiUHMWd4IoLOzzlYvdqS0w2Mgp7Bu03xbcHpaBEOEbUigDCXaoTplGZRPZ7x8USB23+cTDnKg1Y72h9PEEfd1OaTcADR5gdw0lOSalGqfkcvCDFWISBNgoWuepD6hUoRJb3QeLzxGpl6GTQmLaHJZmUwKtBLqecFqZRwJWZouIBS7AlxbtbMgzerN2HZWrGLNzlBeMEmMOH1WSitsvDKV6qLJ8uFGRPgFZdmWsBxoJjfzp4v+qN6nCbsTMyTws+RJ5+/vus2774zZC7VvepcPun3Ljt+63oe3x4Ou5v7r19IqY3gjXate83v1Ovh5L7W5in2HjsZ/DCbzwq2dUYxrEwz4Mz3JoKplP08kzY3wdraYn/jvIodafys5auf54/7nnuz9w0UPvUFeHz8cjD/+w9AMvjMHkY8a7OFRFouofe8HibC1PAeKRgJJEKBJJgrRfgIgCt4mhldSCBLygopwsBbpDeXRQZQBEBNmd2rb4jYtFeJ9Vz5FZHeDM8ih8gDXHPNKEL6iniZBmcdizpKvTEJDVklyNALbNKOAlSvEhZvAw1KrBMS0NNGjAXGjgEVmxtrcYhnLNFuRTIDLcyfvJ9Vca5KJTbwrJDzsTg45tbW1k36IYAqYzMhjWpZwhUmq4WArRV8tCus1fN+HIykTjsQdzvN28ni/OJiMBhyivrZxd4BVIdMOLo8qKyWaMrhYDfBmi3Gi/Ww33rM2FAiYDUdt++/f9bmycX6YTRjmzlnufO15lp9yZb2Z8NZrdHqd1rhVb549DmTMAEMNgw3JZJ/eopw2vT+xer6iSKnYsUV5IScfksUdX8IlBALIOEoEjvBDFzEm7XEGBGl/osckFnKXAyUYsRmCNAr1eBJuSxCQiYAgzWQQm/IEkaKjEy8GJDVFdRvU660Y/VKmNkMOzBIM4Yslih5jRDg0uEwfMGFUhzFb7Pacs13thrMvvjI5aHd6wxu52/0OxdtHhryKNALrwjzMuEmUvbbRNEjHB+y71zxnu51eMbdmmBqIjy++rf3swoHeBoOi59Mx4wDHulhbmi+lJ+k+EaeDGRRGC7FXSTeGuaXLDvPmCh5IYLzz8HioPZ33nnn8x9+WPtuaJvRaP47X/nnvV//F3/4h3+oBsgKysUoOLiSrEURKKeo1dWughMhBDQVSJCnZaXRbMgKwQASeOwBeF16s4pyLQGJUrwEfbBjvz9khWQxsEhIUkR1JDbBk5U3dOUmB6WQiAIIRmxTltcwOOrkZhKv6cUSM0Aw+pkf6PEfMIqwk2d80k6WUrOkOoBehg/xSpF4zQADUArMFQKuJH5jqL7AWY1eWraUORb7sVhfOrjnHTlKCAGQLt3PFJmK0qwKYQgfzOWOoCzn1ADwW6q2mrLEjwcJieHD/dnFJcKLhJyAP1kWpjK6cwebL3gx+sP+RXf40fPz3pOcMxSiWcvhXX/wcXMVDmVgX0evzXcJl/NVjaMJb847ve7Zk8dNJrMsTZ06mULwybU5wXM/NJbLVu3j+5fda6azxx2JR0yqB9EdCCfrxeAVVACkokAVPbwQAytbxQvIVBdAKexeBaKUkANAka4AJFSIkVJ4RVldr1FKL+xIQ2yuzRLOVaUA0YRAbLAJzJVgSCOTXvCqixGUAPDKEng1epCV2eVCKGWgI+GzGsMGL/3N2HPAbxaO0kPGnk5KOcaYR+0slrS7Lf7tFVfOhPbcLF+FdwxD2veu4ZrdWocH+7XLyaQxb478ZAgmwpI6Ehs5IiKKJWtWrlfr9N5BRRgu2H1/3u/zGiAH6tkYwE6ssOrPZIrwQ3xcr2LGGedV++6IKuyS7wuk/NEf/RGG0iqQCgDJrc44AazxLF7BQKYWEKDmpKnIkjx7OYxMi61ySpVKqUzSNeGSAbomRa836y3JlSwbcmsH8igvmXy48BjeNgwAliDQNnqT9cJlhq6EY8Lr5bw6bC1iAHoFc1WtZQm6iDcFDDARyKSKqmVtUC861mwpRRdugZek6AWDCtmQ2zRmgLoDjGIxfBXgW83aFzi7oVa7ZzfDNsEIKGkGkE2CwUwFKNfFd+OZYtnifDgOMKrgoBmeCDE+cgpn//yCdSz2mDOslUsrLy0bXco5XWmv3x8Nh6yusWrFJlmGs8bFYjm5ofEdVQDD3PHu4/PJbaiJK4tP/Vr9bgt7OLjh8vJiPD7ilEUn6acLJBhu6vOXw0GbzXlxykLUkXK9sA3YTZuThYxAJSBVlA3aXDmGVCTDq9s/etULjKAIMNUAjA+QmeoqQqyCVJkEexUuGZPwYgAY2eOtlcCi6qBUMwCZ7RmLYNOLLuOFnSQW8EpegggYsowm1rjS8qFJFi96wo+YOQMLuztD0zPRgAaBceu6V3sK3G7bstMmwDafDvT9nHEsym4y21nVe7Xz+rQ5W6fHN/CpZp5vlBjBIhbLRrgLmjCvwqXtZpclbmaQ9XCIPNMp3gTkdL1IUptOZky9mEliS8l6VVbjboJFmNr86W/+5m+ypIahdcPGju1yCw1PP1E8GQ2AGtvCwhdVgWFPeCVQkrMSFA1c4cJCC6ksZTkGLUlgZemhAWn2eAJUe0t80UH4oN6sBG8Jqs14AQjUEKZrlv21YHA4wcBVDjGT0C4YgIQurkmbgmRsBUl7WfhREe1SLzcPadIo4Z64xBIzgzkcZKgmyU4voRzGWvoLEsrJKJVkswdT32/Vf2axZkWZZ4VySNb+IrEyFf+UN6hOK2ZEwN/hS17hc17hE7+dZvj9ijFopMnOLy9Zx+r2+u4TE0Wad/jt4LfDvCoUXtmLfopWrWZhOGMoX89Gq2U4qyw2ERe22y6u54PeKuy980r1tuBwtmKCRQEnjnbY1MWhgtOpJ/sUzvUARxf15sN53KymACNUoBSsaNEVpJoj8b+JhYy44qomM3w5gDQN1zaC+fBGmiUogaWdK1oEIx88qkmet1wvpUgwXiSUmw0BxKjwYmEBT0rs8TRZWHolTbUuV+0lSBEYGEkygKvwJtmzGAyN+Sd6a/PMpIiLFR3jFYCExSxMs5psrwrTkZQgoa+YDd/bzPmlF4XbazCu01PQPiMc+dtrzNPjG7iVlN9BOp328IF7TzyLK86rzM54SERYOr9+cnX7vYfFehJWvDpNjm6mtkZWEWARPUylSY8f8yr3Fe4j4W41g7KJLLqf3QuTIp89NtbhVWtxhTfbchgDjczzil4vjCuou1mSNUM2lFhSFKwn24kNSkgAkB9MmtpISq3zJKVwGSYXQEhWcpZScrgKEAGw2lqGYUliYVYOGGiwlkCCHRi3a09VLnEuEkZ0MdHxDjfVAOWWSKks99XJ1ZVFckugI+jGIHaulqAHljFcSd7Ib9Zqn2cdK86xspLLMRJlqrPE6NWvPEYKZiS10Quc/fyj6VuffZt97sMVX/vFY5s1sPPLq/FoREMUbXs/EDeJ+r1HerCqw0JE/aPhsh5f7BKLbUTCglWrF88+pjlm68nF08Z0PLt7/kGj1g4/VBlMW83VbPruRavLyZ7uyQFDwmy+uJ/M2V7GeM8c67zTWLDJfTK+uOohDT2JjZ9msx64ajeejx6a149VRCsB4D2uxIayWa4sBkoNQfASopbNUleiTm0AACAASURBVOZiaCyiF15+wMNLUvMpWHJZDAmxqWYwsawRlABGjHZ4uUovAIlSXZFglLnSxAsN7FxzaRKkFIGk1qbakCKOVoSL55UlNv6osbierBrhstxr8TB1goS1q9b2aza+9NVgliFt+SorSRXPeW7YPsdm6Dv1xc14vju+gQbgIYjbmb6TyQM+/uMrimfXPVvjt2Kij7hVliGo1a912/3sLNPoDwLh+YuayjcM7USivRWyB6VkCWBPokQ0ihJKsyxgFJRcSQqdXLLXgpQlIWz3A5ctPvzwFRIzcmvxWgzwQqTO3IJeSkEK0NU3kOc1OKmI8MjMxRuXAIRbc0OvRBGAUZoxAIlbjNeIcwEYiSibnRPK+kZN+XRha06wBAlkzRIwipPEnlztWSTGoLp6kJslZoMOfZBhcgtXa8esRsN8s1n7PJOck/a8owKbNbPEEpMpM0KWQyHCt2KCV9hTUGN9cDLmP6YpyzFrb3vnbfKUcD6djocDHhruyYqZzZRpO3MiMCM6BCjSN1UGijBWBZ0hAbJRgf8W4Rpu0gEbhkN4QiPyVmO4k7F/h9OO+TDfWa8x4yOKVxezdfvDF9/trDr/8b/3pfCFwXDDqz08fzF99lF8LBi6hhI6eVvwxWjGIaIc0Q7y+WjebzMHq00Xy85k1OVzOuMjXhfaCv6p+0ubXm0fFCaVJ5hpgtB4x0xVRR/aN85XYgDsGg4VFKmbABAPUhpDI4z86tQ2dhlBYltuNlGtbC6lkBhgSZgYn8E8gKzlJaIgphRpqhqwMCUsViT3ilfbTOUNu4rA6D0gO4XB4QKgB+/JimCTjPaEHYxx8XyMs52YYCV7nozgZIBB2DxWLESWpNOszkWdDwWwGHVWux7Nb3nNUIlT3f0EK86reKK55M0ZqsAmeRoqq4tB1fDrKafdrNZ8Hjpu8D9tmtViMqFo5joeV/pMD0aw/pY1ThiahFR031K4lIcd7EXCq+A1HHhjcgUq+LhaeIkFTLl5VWzIpQl+2SZpJ2dmwCJLEntyReUiJSopQkWCUXZrSPgrRutaEIDBjFyBudLwGOy5fkMIoWVP0wiM7If/oAHP1Vtr2gFyJZsl8J7sNGxL+rb3jFxhLiKLIq8LXkrLzTM7EyDMseLWiJL3ChNjJEGewQx8bpvVvPDwlfuQmBbx+I1NquFU7ruXL5985q3Vw7jTbrMNNMaFYmPd6vfYuz9hjnUWlt3DzopQy80xSAEKYJwohSkT1SUfVp7AhmCJoRKmSvFre2x6ZvLEI0nOGORtoi4frwkp/DRkIkUpZuO36LlQPxmKsbzd2O/1htPh8/pHrUHr8aNrnEsDffz+B/O7l2Fy5hLvDHJGw/PhjN/UCFcJWyTuJ4ubfosaTKeTdjc8GEWC46sOoi6/71QX8WNEyYPC/mzITYnm8WbTxCRaS+PDUaFOoMJLE8f7VpBKVtGrIsFenYchJgs7qrmSFcbTFMFIlqlYTgxAZpYr8iBApgzgimTBJtDY0Z5LYJQJALF4ZTmlYk/IyEKAMR4PJUk/QX0pSE9WAvtqqqZgqrCbOgDk4zS46iyzbzXzwkhYbN7udg8vFb6O/oG60uWrpK5SuTfNal/UMSzOsW5sjsU9h0kVVQi/8lgF382rEoG7LO7iNSrlYWysWlQwSJjzj9Pkw3uUYZv/MbXe7cEaDAbassAwefXmo9vvPttp3ofwCE9zksgwktAq9fAVJABDHgUg2aLkICO6lIxSA4Gy2ECq3i1NyGkAlsgtAOhFiAHA0ZYyY4z9NO3I9+pMuznEl2aNobS627MWwm5IhBMAJNnA8KrP1ECjJFMpBdAVv516I9y8hHEU+9aQ8JdaY6GNsFnPWL2yAFy4F+MVY0hTjbKUuZhvtmo/t6zxLtxYBzHt+1AsCCxqF/CMg1y9UgYUGPV7i83s8xknP7XWYRFrMp/N2ffF47iH+1sMZgAKc6ew1KS0mE4muCJ4INxu1pxxwDSIEQXrmJbxhJG6chxzt3NGrflkMtq7/GmGH1TUfW/OFOsCMhjj/oRJH7jdJdSSHHHQ7XZevrzTun3UW5uMRs/f/2A5HmJMoIsJKDwWHIfHgjzu3A54m/B7OVlecnp/o87XvNvjUf/86qjA2Cr5afzLoUXPRg+1y5ts5S28aXcai3DxLSJ68JYoBRYNV5sxlLBnlQoDO+qAiUXYAZQtojd8iN2YZIxCFJh44Gpk5QAVV91luRlTzqVSI8YKtGuUAOk9U1IXzy7tZkwV7TIbSvSSUGrs0Svh4uWYOkMGCW6yHfZ0xu9+4jy2SDLneJWlHdPCuJJYYkXFgCzfTLPIdK/q0zvalGd6PCu8rTXDY4TJbBw+xbBZryoWti1hk+oWZJSsNVfNUH2kx2AJk0v+zcNhV6ETxB+TRl8E7CZY+Bcizt37zJff/dV/8V/89X/3L++/z+6NnAQlrhd9TnHcfFdSmstSgsyNBqNHEcmCSfiSqDXGXABdSMstMiQ0NB5ZEXsW8Z6s3VQcBajzyB6M8a4IrtkOTwdlYjaiPPtBFk8AIxN0CUEOq9xaqcIAkUVb0pbyEl5Rey47SHxCkhkGoNc8g+WQkT2t7lSZ4c+0S5Gvl8Folz2GgfiDVv3z8/WL1fplvaxPGUsCcLdg7MZyGT9a3y57k/k9mhgWwlC+4pRAxoiwiFV7uL1tdc6/8Q//wN52aosoWYv1b7/1+I1HT3gix8t3V5e8p8xJnOFWuvVfGNHIhqugTWY7WQq/Zjf/CQVVSLH1QwRIk7LkUb/Dbgqhwpk8U8R0Sl989Gzwve9yDk+Qs034KDwWjN8W1GNBWbQt52/9xXjx5jnTxNp0NuNMQTa0zmZ7Qhzxp+DOA7TsTWPxYjxq91nIzEm0IQ1EgaYLZElGB2xxaEgPQKDJ7gnTBeQowgGy7DFQQ09Hha6QActab0Mue0KQm5UohGe1Z+mTYQcCjJcEisjKV1nGXIxVRNpPYIcRLiyX8cD8+jV/5ioVMjBuW7hRay63H1ZX6WrBD7c1E46wtHPolKxcLXgj+6ZwLmUeMlQqJH6dseUgzrGY93XPupzjID+rvMo1zt7ddGjBmzdudulE8KiUpTGaVAtajJBxTHQUDgxbHGg/MGqDTr/7C1/5levPvPEzv/ILH//jt88eXW2Y17Xuee+9f/N388neSQ1O1AZEYG5YZykNg2olMLDT8FytFPNIVaIBFtxakdLke0DGb83ZtB9ZDDAy4KIKQvkq2r0WUweAWIVLYolo0GhKs863Ii8wF0a7nJ9b6pEYgyUyhsfKUX94EKBlKuSQoD9q5QAhmih4RRVh2QO7NGIJjLKBa1FjeeHQwB7sdg3tCcphz45280/ChXCqmVXxjXpYx2Ivd8mzwkSUz1JrGg6loSHWq+bZinM7+YEVl81D9DC94LN6vFA4HQ15fBfI3EEPGPwrv/Rzn3/3s4xTzG6gfxhA1jg/79uMCYd6r6I9NHD0lapDlsoFxLZ627/e0ggHzpAgCNvV42d9Ahw9Q2Dd3t+DbI+ngw+/DVbEunLq8Gg25xBR91hwO8g6uofp6rq7Yr1txtGj49H55Q2H1wdtn6ZDHuAH//l8OF4SL5ubTRLMuJFI4ModGoBS4CpdzGsWPezqdCFsK7cOGiWKmIcdIUiLER1mflWS1w492erarbLoxQCuYLhKr2CuoYvFHzBZe0y72Esos7xZ7Vl2tRe8sg3AuEwgRSLLFhmNgNA/t4mFm1wXM+HAhTxL5PEZc46tM7ZspX/bLfa253ThUqZsYZDA+lr3pj77uN7sUr2jZSY7U+uLcI+Ltu08kCgOuyQYSMMuDOaXoe4JAdn0oNHx/fBv/4f/5Qv/+b9/+52Pl7PFt77+/4qHKdcv/df/0Xf+3XvlE6wi74JXylogjA8UhWARZTmeuKlyX9+ak3qEt1f4AAul6iTlurKlYsziq2AU8fQ6iBM5MobrQTkwJjSITTAVs7JHlkgsBig7iu+dSQ678UwFwKu0HTGABK65FsoeFckMYAEYhl4Y8V6V1s+VD6NN0XIJEiSqvUmUEjwIIQEf64f3mrUvMESt1qfNsVCH8VS/MW3NxnP2H7Awzk53kGyAGtwNO1fXNQ4jBjcd9TlW7OKM7VBUAJ5er/PW08fMmbF/OuXJ/urR9eVgOH54GF5e8JaOpkCh9nkRmAYlNErxprnNbHHMl5gCKpcIDA1IgNcbo4fpk3nrssN8dy8SpsWPBYNxLtE0z0aLz16FBX92mHam426Hs5s/PbLB+agYPG83Z5Nh8yocPQqVRmaaLMsBklLICDNKCcJcsiyjMBCrs4hdijyx9S9UQKwrQNK5QtjHn3wJ3ovKwqYddkk+yA4ZirwoWSXMUdW3WiCwqPpeUQKLHXswXtsbgHEg+KwbE16ypl0SRJCtPqWel9r7bArzS4lFsc1zQzYWpOXZfFg02r6yly09HoOB64s3+g8vBu0jv1KBJfzb07jYq/teUZKh4mElL5w8ENe0+LPj3a2JGddsPGUi9bO/9ovP3//+Z6+xNDzOZCnLJltG6QGkk2hvGpgrRWRpSNEAkCjyLFkYRZBl8dUxnl2dATNy2XMDEWQ2znLZc5HoKqkjpUriBfbWmj2vYoAXaFpyTQW5NWfjH7LW25FDMkuA9eE/AMiYVHEzzoqFnqY3rixBOQYPMFgg38iApZErqVyyaMRiEo4CkM9gp0FfjEiz5EVJFwYDGB5G2EsCwChzgX9qrqvMsWgjmZQIkUlnzauH57drNu53+c5c+KwQs5blgnPOV2ErArsI5tNf/MI7+JkfXuZoWpXpWf/scjJ9wf53JPe6ncl09uzF7aObyzDH2qbN5IhJkpsqxZnRpndHf+x8khiZm2UnWLPd42hQeAe3t/3xuFVrrBs7ISiNjwV3bwsSvLmiDDlZrEezJV9cDd/PmY4vu6cd2YANBxSZxp8YgArzRuHzwX27f16lUoSGugx9n8i0cawKr2hgJ6ph1/4/60EA5V1e7KJBNb0PY+DiWl27qdBEB14w6mJYRRZY0srtUfXFXl07MknQ29hrmESIOj5I2YMi6ZLzQYqAq9UokZDNSoLwZj8GgBdyF/3hKdwulxVlmM1sgynWoa/rHLO33cSXAyitXdycDx8eWv0KU7ytsGT5ihGvseREvQPTlS335m9w5iIcjMMEK860wpexcyZYkLd7nff+7f8zeHYrVjayvvXFd7w4WpHkMWoS2qZ663p2wUTJUezQK4kdkzCDQFEWmKTwzer6hDDYk3gGRSBlzCdtD4qSeskewxsAmUxKHI73hMFvbE2V9+BiRpWtV6JLNc0iEwzSlIQHxhJdpS4xKWEvycKYzJBKiK0I1cAKG+povwhBqr2qhxAGIAcuE34UEOdYYc/7KE6isg5Xk2FPkQrq8vbV50fzwUPru5znjnYwVG84mtxcnrF3AMH3t7dPnr7pDWPJazSeLJYvWZvk0c/mHkUt1sv33vvg+pov6njy1wwzKF5eXmLp/ccfTb//Ya+xGkwWF3z+JiZmSKP4tiCbyeLbghVM4VYQF7He4WRVdsRzHvOYIxvOK74l/Zqr92Mojkc9F/PxaNE9aoFB3Zag1USnqBdDEGLShZSi2t6JUU+EvSjIcz0KsZ/nkS0yIMsuk2DBKrMfaRKYpc/FSB0SsJ/rUQYgkE5NAsCA8PsnDj66Slq5QCs92QBzl/yP6oDZ9jZGtEqrUrDFxE+w+L7hdpq1lbMtZ7wNK+6WfY0AJ6D2z88n02GzvTdFKVKBGcnyFcazS37JR82UMP6YET3UPW6HX/P2T5HWcjyhQIsmNCfc27wEhZHHAINU8ngw0s6VpLgUgUWJp68Im9hy+o1BboAwepqKPpnrHKMpBxBeTpBbaiYB0ArQ4BZgrjgk+CimXF6PxHImVRpWYK84qUokMEAgx0xSqYzRVcb4VvMSZL/HHAVTX1ohNwwwDFHYYFdJxh5rNRgx4OQWRBS8bPCvODRjkhxldXy/VWPP+8t6jWMJ1HZWVAXAAMi67e4IJ/AmDCkoaIS3D/h4DnVnNWgwmD+60SBuMml33lHg8JjEdcyu7h8GZ/1eu33iWGEqigAOCF3MF3cffnv58EL2RzNDAOttwZebtwUrDZd2S1isaw+T5VWvyWA3nk6uur1XHKCK7P+JxJ+3G8v5uN5/rHlP9ToS/yTaDm9zFWzstC8JJFdDegC8+g69GHaySUB64lxY9DIAgmCNe3KiHidGhPMKBUszhJqnUSkGUAVIKOKaqyuLhNIMQAIEkpClNIyZpPrKaSg1PAJfxQAUHeVDiKU62r+5H/GbJWz6ruqGTeWCN+IZB1rR8c8NP4HlK/MoK0TsfeouVzP/tG5XvA/xJvQ+gjEzRZyWZ6aVbnI/TRBcNEk2RqtII55IUBLNNK2CkixImseng9Ik5yBZEQGqFYjBIHcbBsYM4yo36TQnmPASIBq1ZxiWyDYzCe1gvA0qKhHLcMYYKhY8wAEcOuauhMWKck2SG80kAKOvAmCJNUQV+iwN7CCxzRfJDITnOsQjccgr3okVxoolWSJH5Volz3svsef952e1ZePEPe+IYjLF68CLuMQdfnfy8cF4oBRHKvC7kh0C9y/vHj994v0jeM9lEYUXr68u2JLFFimeG2ZZXh0zehiMPvygPt99AIfvN49mYRPEy+FsFA4RzYyAWa2sHLSaHU566Hb4siH/+J4YX19afv996su0kd3u/YsrGsW7OivmU4x54Lw2uxsNzq4f4TSm3obPBXRLTjodjOChJ8gV57m8uUh1HwTSGSE4tuFiLwjaYUcIWQzgSmK8q82nzeWsvVp0G+F91VtOvT1nDXUvyQBQjCdIiDXYLmnsEeZnUOSrEDWHC6KUBAsv2xJBiQFQ5pIlXJaF3gxQFXIlbM3Z6/pGyUqOCYTy2AmW8Wo/eHh2Fp8b8khOgWEErx1odVqLMROsA4KZRedYQkWZdb+OedZmkztRiE9LbGl2Wu1e93t//0ERDVaW/GrPbUUThWoS0aCAMPxRAAYQf9VZZBL0IW7ilYkFv+N1e5ZJRwmsrrqIUiZRETMJMwTLHrsWSQCfhEuSFaMmVUgjS339SpVs8BUXRmZADyCrzBgBkqzrUQOBZwSGV0Nqgk+yqpesMtugwRhqR6WO+uUNl5dPHGJDSTx7YoMxgyTDuGKD3Cj/HOWTf2zVfv7QGaSmNwuEQ/Ua7VkrnC/K9k0uPO2bL+asQoEJi1jDwWLBp5Qzi1KxL2QFXpz3RyMOpZqcnRWeMJzlqoIZ3z/U7m7ZgO8bAI89jNmsv+ZNaDaHZeXgZdzbYSsgX2XlN8FZn6lVu8M7cOFeaPTr87Nn9y8bkweadzqbduZT1u3o40ZQAcCuncAK9D85JLiyN3m4rzX4jBIvCBPATLNoGmIbJ3s/U2dKSUk/Ep4rLLrFHDvCI1DdkOZGo7RkXRzN2VysFF7opTFYSxDMJ835pLde8iXQgImvfTH/vlnNbsdDvn9uvB4wCaqCxHqCIliOslKyJNWIq+EPAuY0OUEGVJcApVUBCbLB2E2aYXb2hK60tZNtSQdnKzvOfEjPDZf1dbvRXTXCJ7Bohu1lA+dzHo/lSD8mcwf52u7sKyMOsbH3RS4rORoIIywetyaUgOV88eYXPnv19FHIEoet5s3bT/7v//VfE7DslkiIIaHZCGXkBMvyEo1nKa88SMiKzaUsQqI6kSBjuApIGGUPSCxXUfUnO4koy+YqslIB0RxF1Z5h2AOBeUnZhLdKNrHBskw4GKoklpHCT6oQK6tETCmehJKs6HERgOCDNsD7iq1pErxVsk3aZYxdc006ygYvHGmSTDxbbHgVZlWWS47iSsIA5AB43uowc6xfqDzHSkxiI+Ks0V7Vw3wi3J/olRwZWK+zisPDPlbtuds83N49evJGdXuYWnHcw9398Poq/z5UXZRRTh4G61uehe5cFG6Ci+X9eHY7YY4bJkwibnXaYVGKg957PY6bZ5mKKC0ZcMTFMHn59O3BtwatOvPL1ZTqX3Fkw96CtBnzKZD1wFm7MRk/1Ho0/QxvM83iylY2jQ9Z+iJM7BCnv2+IWDRyRbvfn2Tq1NHUbQ0JEDC8UbuYtlaLTm21+TZx5iYF/no1uZvwlb38A8AkSlM9bNBMi0ohXuqsA1pWxngaFXFlZIAegtxSI8sCcgK82FBFglklYl31y7OKBH8vjzNSj8haVwkTG2QxaUz6dXP1dg4Xb0NBCsrifxHGaoeqZsJ8xvFcTOAOUDPC4IegZTeRVI4VLBr3APuGtPRP+EVLoqW5GuXtd57xz7IAH/xf3+DKFOQrX/nK1772Ncwyy2AE1s1bUeUZP2lYZssGrhjgNcqeilYlvF7OsTCWkOAyQBKkQvbg86xY3ZWz+OqYpBaMjMIwKNj5+2YbRcAi4KoOD0ZDSXWlCaXkJ8iiLMRKEACIDD8IMKuK2HPxVIT6Ik1Vy6UpRyKBodxGNCNGoE+GzwLwaiCGPltaBfONMMfCIbuzGzaein+8BJmk5hO+vuII4xrvflILlnvYdTmaLxrLWf+M6RETt/Xo4eHq5kZ+NgO37veydzAndkJ/ezfgJFJG+F3BqRDHyxN0xs2QxtuCPBbk24L8AJjN+S517fL6+jOf+8yjR2G9jbmXXnI0loMA07LR1WO+ZUgbTOaLNkc2hKNYDjzwOij2p4fgprV+dn+rJ2gMJoQeDuRGwGqWekd1VxClDCxI4H7BlXAllbMbsZHBghzdfaKAHAkMZMyrmotpd828as0abi3cRssilg8CXC7GD9NGq3tgjdYMoGdhHsYIoytZM7UIsFGluh+8KFRkJUgv9ihBL0yRixIJEMt+r8g7jFNGD85X9njzMmiJd5b1bDrjh1J2tJHNrJqF/4rS5sYa7haQhAt1DsSbWRmc1Zav6n75CgleJY8I9/QnxXtlZZnwK1BT2vPz842d27bJ5fvqV79KYOEI612MuUeuuqeCkUDrpliX30TNxqHpXVOtgj3lQpy8HBAVm9bNKcxHJVZBhDN1TwVGGulYk6wJ8lVWwJpVEvX48WOYgDGmolWirKCqkIRa4wpfdxljthmnWQWx10trIsFizOirA/Rk2uLgTFEmIZYglJFSgTHwgjzqUWNiHhLoLFx91RKa3Kw56put+ruLWrNRu4s/tJBDSnyVL2EVvmmznAY3so2XQxUYMfhWIMuYnfDlnPDNnIe7u5sYHibBe8CQHuAJAytYDw8jFrRyH9554oMwD5+Y68XBsRbfFgxfbl7WW+yLgJddFJ//4s8/fevNOJkLoydfNeRjhrwVyEd+Dgo3gss337od3LL7DBWMvOfse28SWmUDjvF+CuD8y/n0YdZtdcIOPMKPWTsA0ywSvePYDoIE9WuNlgQzCYEW8xaEIdYLol0skgCNBHLsY23Og/FppxYeAjKJi7Gl+Drckt0m65yDAWO4+xp61ioERZM3Dx+xgSQyWXVYU6Qws+HV4COxFdnhQi/EyPEGHBzxvHxvg4SAwQyukPkZ1Wby4pmPhBFstgV4vvcx5urCZJvuZtR+xxhBOvl8GU4B3OELIJavwhZ4J0A8QsTXCOOYW8BeER1+5dO6UHPldwkAFVAdikTAYkUeNuSxgIRwVTJ2srJEV2t4IzAA41/lZoycIglbo0KVgU2jGeatKhJiXK8LkCXeNuwhqytd5ai+mlgF78kVMZOY3NAisgf5ACQA765Er89CrDp65LEwQuQKiTLbTI5M4krKjR/wVWZpJlAAXIbh9sMcq+gmZCYllQ0GbUe6f6rVvnj8nnfeIGShYTEK2tf1xmxde9xpr+YLBpR1+Pxz+HTM6OGe9SHaOli7M9lszwcw9erq/P5hxK4nPuScT1QN2+l1ZvwqwZrwWDB8W7DBq9Wxl13cXLFwFaZE06lWzhj2Uc1GEI5IJUCZKVacJOGB9qOn6+ffpfeGRSyObOifj0aVPmwf64Frdh2/Ws1+oqg4mXbMPrb25uhR1U3b3rll8NyQG+dRv7Et7BFF+NE+APodktsNi7zJYBLoWa7mIPHpMM6rQoic3F69ZmM1vZ+1Htscy/fEXDNspKUi+nVdcYgzaahQrRms1BkTCRocbAJEtsgqipDA1awyLeWA2QCvKWKosFEhzFdfoRdgD7+KvA3ETzvONzyyHDZjIpnLRRAVfGu11uD9nsMTI6oZz76iTpHZCdt09WQFq9yy4tLwEz8b06gvZtkroTltWrpXkJdBrBKFADQqAM2pqwVNHusBHNIOUBQXi5dOzl1Q0YklZh58ZJOILxb2OktkGFclWQIsvxW5C1ON5jRrVP0SXuRTqoYTbMRmFVHxik4jLI+d3JhhZhXNqoEbC7EtG+qynCIA40qqQ1QUMRqlBxI5GIAZSACfFJm7ZIAX4uF/aNW+uP+s0Jfmw8t6+6I9XsVBrc73cab1Ro84Zp87s5k2jw+ZY61qg/v760dxq2WUkpiXLzliry7P2PM+XCzPX2HbOyG0bncmw4cXvC244H2x8AOPu+X1GzfvfO5dZloPDwP8xp4fIoF7OUNF+CZHvAcwt2PJmo2FTLxK7FTR1RtPnt+9aC+mEE+nk3a3r/5+kPFTAnngpl37ePjQvrhKHMK8ikTr+F3wnkYRpXu24bNhD5mNveV9QUKChLi5qruas7kqvsjBoHT4zmo2FAFnzLEGL2dn17xfUUSTi9cQoeDkyuhHyqUsQopertDoKkzWXUUSoDQzaBTIghHHmOElhAnV9r76KjvcMSCZXWEYoyKm0uhFdfH4/R7ucluQTVecdtfqIq1SDLSadqJ1rGFmmrWZeHkjToKPi6FEhcLII8GQ5WoADQbMFbyuuFuAGCnF117IsbDJL2eETAkygMQwMLS3N6xc2mss3ZgV/9CvbKBBRa7HDqpG0kGaKgTeMKOXSVxJJV2XIuqi3m68RwHIL6IvN8wHmPrwQTMwFa5cv8HLUEVRiT1mumnH9wAAIABJREFUpwyDUqOb4YVhBl9FiHF54B9a6y+G5afNs0JflA8vCaTaYh2e5vCTllfx1AVjRVa8Lc1TQuo0ur+/uLqqOMwlirTt/f5hyJaspKh6tnV58exu1Ly4ecr2+36P0yXul3f9Tl/rWLwYyP2bqZWGY2aHTIwQzjSLET+cD8gq3XI5nx/oubRv/8lnZt/7FqPvdLFqjwf9ixtkntwc1Sv4k0FJc1zXZvezaauTc2QGniQRRUyzcGkS5/QsUrmrKUUCvrLRL7fP8hAwbq6a9VZz1ikI7Hg/rXRPrd4QF636aDpYXIQVu1wzSkRREbEQchoEyJbUXSOGrhILMe4yIRSBB1OiNFtk/sQMuTS0wfFCdhOsGgc2FA7IWQMMg9Ls7EqlnLzHCytGmQUy+hzCgTCGtat6bTGLH2DO+yagF45LbYVyi89Ms8KAGU6vf8V0ygRLTa6Ww33Kmh2YRarYlvBCbLynAVhi3QCBlhLJyhplVldCnyUox6C3hMCsggYYXbqKhSwe40pnKLGwRL4VSbJlDwIyGx8KED1Z7mQySdeDchKCY81I2JXFFdxcuXrbKEI4qYphovSuzlVUjmToTxY8EGjJ80odGN0tfJH6Sxbvacph1rG+FH+JaD9WLjFWoYiRvbVuzGv3HA3Imw3Tbm8yHkJPV8NCWprTZNv8QOerFrUln5W4urkOvTDEb1kMZzXy8A51vFrIghaqswQHMeeXF+988ZJDFqC8n9zfN1/OxrPrxo0YOYeBY06JAbJYzmuMLFnxCiEfWAwf6+HZZ4O5Y0j8gMW3JWPJ+fX15PaiMRkgZ8qkbT7ttNsABy38lGDTFq3woHDV7qihFf+0vvePPqjF3ixKT9gFjyiNfophsuovq+WivmBz1ayzXvAIOUy+D91EvVUnwGf11d3ds+XFo82EvnSSlCuf0YlEEcGJN4g6ZYG908CTisZ84WGRkCjyuJmWlGKGubRIiAzjCjEmcUV7MC5+PTQ+eAV3XFqu+K9wuyS9uVewFSQzJ3AIB8qaYCEfWuXz9vzw4gPMPPfjt1f4UZxvLavhBWWRgdUsVDRe0zlY+SbESQBGFNixaQCi39qvSE45nlYviq0SRhmmKwFgEQxLCIhtKJdISIoQ9YoVQSBCUE2NACwrJFmKuKJFAPAPOGGJJa8ae0hZw7hHn9A0XjIy8UYVx2KY+U0SMAlkNC3HNq/lIEwtkunRQRYj8B7jtmEOKTdMxpsQAfgBacSqCUkIqmT/XnMsTgoNURbOYLTgJyur6JWTyXg2HbfOVpPZw+2z70x5016/PuMAQoQOR4P25RUTLAaTYVzE2kyvCoakEtswgdkVc6zLizM2j5dQFhXZODhfzdft5eXjs/nL3ZI291MFktip43QynTfm4aSG8HJMiBMSm9/jFv7C1wyhOX/69uj9b/DTNB7ZMDy/esxGrirxGb13vGuKKvxji79pN56PB+2r8EzZgi1bG32SKOyB51XQ7ZchsmQlGBoldJPlImyumo27tWU4YSFsrjolwEoUlRRdt2ovB7fzixsix3rZUZ0XRhvWQojGtw6RoFljieqkCFdLL0Lo8pTiH1JCVp41FkySENEj3ABfO2ZGk9V43po2OuGo4uaq0rM8bwPSaEaPSWBGdn4w6eeTFe1Pn8pyxsLzQRxtWSq0plsvavH4eIWNFYbbNNvbd/kcKGzMos7mmRySyqjwFiHRk0tv7Zpb+uo34FyxhlR0kgVIqkqW5CPMR4ZJqA4ce9sz22SeFIHEJBnGtbr210uZbVAzBuAVHXWUqXiDILFmwj+WvByZJ9d5vGAMRsixQ1IiByHlTSzD/LgjCdhGgp2ksRIgEV49Cy9mIMd8UoVXDYptGIkx367XPzdb9Zr1lxzKPpvOWYNhIYo97SH2lpwpxcjAlIXxZjlv1pvrZm0edqjwcCW8N6euVF8veBWPY4HY7c6PvgWLWN03ruMM4pRpBIbdXF/c3Q/6nPX+CtveW/XWdDzjDXtOPa7VNjvDeBDJhvSLi72nkDhwMp4wpUIf/sEt2MBULCxttXjxM3//O88jRhePaoMXSGe3e2c64tz3cXwnrkpDfEpDXF0up7fDQfvQWQb46rRd8KG/zWccs95Zzbq8j/EDn1f5Vn7UWr8Y3NYvw1n24IkxDRGEH8lTqlRDhOGpCmRcDSOyEiGeMgsjSiMhiiQEwxL5WS4p9bbBQqI6Sl4IU6Iph6U0xnQPPmYayJjVMmyxGH5MQmb57ErCeEq4WZ9OhTunOTClinl8Yj/SPEE8Pj5MleJmgs0e/eLlK88aBtBXP6kB74UD3BU9XvxBuPx2dZBdBAhBO9dceoqy0ZmlfF2W8EsrEU7wEZQgATCGKzCArlnbXoslpg6gJMk2meTJMI9Eg77ijEQyVXEvvwrsbcMnJsRsqyLE08BoQjy+OkxjMR5JCG2qZvXsqICm3GleiOfNwlLENVtE02CJXJGUQk8RHsM8X2X0Epzj0ZAHJXyfkJnS7Xr11rrGm4UsQHEDMjnTxozp0lmtDwYsawe1cMImOwmIZOYf/JwMmiklOx4NLsMi1hLKwd3do8dXiNrJMqGVAb6owxej56PTt713m93laN1oraaD0fpy0+PwBveoXCt4JXu0GLMwoFkddacGVJRHiMFp85xzW66evnU7vNORDZPJ6CIc2fBKa4q5hv0EI7utRnfysKj8qRNCl0RgcwwQwa8jHrL+ob34fE0rfL5m3g2xGt9aO/KBdVbsK2IIu5vm6uXgrnlxjSj6joYIYoZpQehLLjKBqYXH5GqHwITgFmjKh51cISgiUaQBFgDfmurQC8LMdNebKYIgV5SE8JBtshxPagNOilvV47yKmUk8yldcDd49iZ/eKhLi8dx/ZJ5H5sLUHcPCdtFdcp3dgbvyfSg+Hwxbr/bRuxxbCcJcj/cLW+FrWoeWrzaMTMvYgrCTcjyEB3D7gS/kFIml8aw5i2gMnzS28RIc8q9RngD4MDqNHfMIdEW5SaN2JPmooljjrUhfhUyuSyRjGLzltsFYMcSLzAhxX/oAF6tkXiLB+w2vmm8TsupZLDlBCLaRvBYeWGj7rdraFwFjduLnhIAsjBWfNpZIQwjHkSMN80SmK+3FrYjD1plIhbWo+PuLFSlOYWeoxLbdIFSvPeP7HuvGqL7yPwvq7FyfreyutJov4eEHaS8sLHXa3bPbj0fEThh4643JfHXG8e64iIFgubi/f3h0c2W82bpXwbBPfTqbc0rW5WXZ3tVEFNUXptfpvdF469mzj2/6174taDiOBqUWCaOytGk43CtOsxAVp1ksyzd45Z5f0cwyTT70YS726M31i+/hg+l82Z4Me/2L4XCUK/lTZK4HrrvNj4f3jcvNPrlcmgRJzJMIeHbBU8QzRDVK2FwV5lXzMzZXhd9ibK7a67OJnB9kVkGJSY8ai5ejh85leFZoBlAdqsAtDAw9l2RFFQGb8WiaFUK3eA5UJBMWrLIJHzCYY0W9nDyf94ar9m69iulZopFlIIakBJmbjZ6pRCl2VjrjVvf92cx+LleRkGxvz1qbS79kC8JszvuDlIamVHNy3YCC4hAYG/q0Tf1STSswZ2VJ/pRN7poY+ToE02LySINz25vORkucEJcmtjqAaf5eS1a8GEbCBq4nBHd1A8opsc28B0zCHliCcScZBhdCypUeLEWIHIUoM89zQSDXeWQWNm9ni6pjZAzXhAXhMi/BQ0kiwDwea6E/OeTYRc3vH2QenO2hBe2opqdArLYwP2AAUwJuLSyPYyNOZF2KfzzFIy6JzfDzXSnkgbbZDXbz57a+Yo7FQ7/Z9pcWzwPr7Bqdbhg4vT1MsFbLNvjwKTbmVoTW6rrffKffeJjWby6XHz60wjfna7Xbj55NRuO33n66r+ToHKtHTNp4XHh1eWH1KJdinoHsyaPHj28e7TwQOZF5d/9QNMEKJGH/Oy9qL5g+4XDqyH2HsGU1kG+X8yPZv2Z49eTNcGTDcsYQyLmjnbwjG0L0MAPeqwCI/IaINv4UXfDCDXOOyZivFx1VbSJ/NBrR3OyeW40H6+mo91pPWDjKmHJiP9Bg8M16dvtw1zy7SLg0wtDBY9SdeBORELQgBPmaIeGr9WzCIL5qdRhETC9kyYhHqMJiQhhzoOFa8Y42X86mtSEDUdjDmJlX7fSGcwu8V6xkD8AMet8e6lCGb2/Dgs0bwsNK9iTSu6v0S6Y78XTi8IorP5JD/459fE+WyzDp4mBmh6gKIjfsxojjPzxHiMAFSjQenMDeQgKCVNWK+PNdMVGdJUvpw2hr3aadyIoeI0nYxjUrwWiKil4XHnuSG61Jjp7bmAdNtLfQVOMqAZBg1S8h80W55uFeGVOxr3qBBsNLpY6KDeM1AHZ6BaKSemFeecuaBAAoGcKQAJfHG1zut4fF9/qLN5q9VWd57gMPdiqIZN8viG0wdOYJhzgt+GpxWJSi54Xv7tk2qW2IBgOIVp81m0qBOMcKv79sjnX99GLywbRVi6tdPBMI38hRZUN3oO7n7VU3TBNrfEGn217/Z+/Wv/5BYzILc7vJYDgcjFj7KdV5uDBuez+/vXvg+IYTtr3vT2s26uJ+9vDORIl62peFLpbFWa5DLz2e+pJiyzQXfOyaFQK+Wcvi1pufmX/vfWSxE20yHpxd8IFC5uLBUfx/25iOzjgKvPPGXdi8UaLxJ7WIwYiTPAgRVvx4ox0f1adjDg6y+nbw4Ww450Hh3sMdK98B+J9W40rr1BZzHgLyWUA+YhMcG1z7o+je7OhABS45gXTcaPVzlmapWqgdd9M4E7LszgsVIAYfBg146/yQ43Cv6agTfhbVHsb3zSefw4GSUT7iSQiUMezDzb3ImDCvqo/nzfH6jBcIICybCTBe8msF4bIh98rEghkMgZNbWoLEQuZY4dDRMvH5AmLtwvuD+cVbLGRMQZVj0yq3km1J4V9YwnuERyZchCJfj9StNIySlwwGTiV6Cz8WfekJMAKpwGmM3jwC2u79CMTCE8Qi5NWneqqLbONKVlero2zjapgfCqDBrqJ5/z9777Ugya0s2pVLV7a7p4czJLc9Zx93X/Qd+iPpUd+kF/2D9Kx77znb0cxwTLtyaSqrKrUCyESh0pTp7iFnuAUOq5FIIBAIBIDIQCCge/wRJLWbRnEofCIQiGYwtIEY6pnutt+eHtdyT2132/21aa0YJ253bzLly3Aev399/XodJwPvhUaJUkQAiL05gpTs7okURWkU12JSDi9IowyKsIbijjyB109jiYd2diEHinMZK16sugF3ELZS9jO97Xq1cVDsm1ra7dfDrO9n/89fsuvB+r+m7X9/kb4cdb+/EfsMGnJ/e3f96iURg+/jIjT58mLE0ULfF6cKtUCohXpYfE+prt8P5gucQZRVCFXIcAg7ULAcjux5C3CQoQccrofe4v+dVWAznFzc3t92kiXCZ5LgZyshszbKJv/UX/cGPacffAzDV3J13tnzbBWrzzmFzpapkwsruTyEQwOOJ1ZsCOCwLZwlqF8gnuJDY7uce8rQjaSx27lfiQMzhrbpQT14bYoxEjbRopvKtYC5hwUKf65i6wG+B/nxJpol7Z7XqLfTEwtEgP1oJaxoKMPjgQAN2b7qpLH4TUXyZH1sI3aIfVJ3m8WLuVMn2B0ASL1VZKhkvU2NXKVnpdOYWxOmkTxUJ4LFY+cNxqDyq36gQfWvOKuDvV79uyIVGtrm9lAVOtBHxfvKX2kl//PvCORSSeUsYlOikXx223QhTgCDUmH9CFpNr2rzNyVSae0ip/PLlKaCedQRECMCAgpHiZPrABxd6ugvg+FckZF6TQ8R11VoSmrqaVSPVl2bAYBPKQ5MIBDAh1+7Ck03TUA7vSkOa54uGzUBIZ16wcRuFI+agFUMNYPZmQ3kZ0EG+LVsDCa8Unhu5+nNZDLxtp5BEnySOMBEd/XQbV/M7z5yHrC9SblIW7b2xFJKLUVmsNNc0cTk5NeDbq8v8kbB0mQ7NjG1g65YD2zqJoV2+6HdmqiPreW2Nb2bfvX65SpK1t2tf+mFb5hO0JzJkGEXgSXT73H3bWvgtv6P/9X93/4v9s5S3+GYnniHAiVng7r+2hD8iRFuLcTbe7jZYJtlQOHLKpwvQYaPSioNRkMurjFvmyLCJ5qKTTn205kW4F7jmFS6SbGcK2IWt69uxGXDD38Rlw0bDiQuh5Mr2beFAdhG5doVvu35uL/u/PBm/tveuK7n9uv7op4gO0I3BkS40UfwRKjCTT77UIxJ2lHbWO6AHL642l5exsvFejZtxyG2e0ioG3/oKYNCSCdgVZAIB7vS2OVy8dYW0UStgnXc+znR7Sh/YSU2TMNFCxlrx8/VFmgikK5nYKgBK1azCUuznKHexvOFmPaL39QMX04YD1gucMmF4NUbjQ3YKqgDKbtS7dZ9632rz965ZK/t5SY4oLrG2rOhDA3ks+XoJNYEnHRmA0gEuQ7kqXslQqQmY91b0shQo1RDiaWZtlzKnofl9GFDg8vF5BlLDLi/+kY0QITqi9oU1punCzRQhC7hVwcqImJXx1sCnMGvnV6Kg8zpmJfK2o/UTl12io7n+CncbAwVdoIe2UoYPhc+VWRqUwyGNnoGq6MErIX5vIlGQOGD2Cay7l+D6omVUoqWlmh+YlmTDTSMoAY0RjVB4wlv84rDMh9vo1Z3FM4XqKP4+tFKqaS3wIp8tbgZXQySzbQrIhZ8i4RUO13BuntcLTkllBKFhyTtEKfLe2/ib+7lAsEib2ERocbItJVdZm1eb1dsQK6dsbuexfEybmHzyvEshLNOe51y+177p1k27LfDtPO//5/x3Wby7y9WK32djkLu4IBTOc78wckCQuliGQ0H+Xf/WgSsqVxVoSw+ovmCDC9e+QfsP3SdQeBHUczviSjAJ8ovqdi/E3hkeNLRBM/r9K4u4ofL1vyOJifp2osjTOlRfdGl3XUr7sp5NzZ1F2H8m9GoGF/VPj0Rl184m8ykzHLQHFdM6KhcD4UBu3v667/CkY3Y0kf90ag1GmG7Nv3w4XZ2h4NarfmTgQOF2XdScpWL/CajC9ifu1ylW3tw/O0IwoXQ23QZcYjCcdFSY6HfRSvEvQiOxxG1gk/y/Ho5IBHikAR9+OWRxUO+zdLYwXVqizsJkKtQd63RgduT5K7WZJGml0xTmsiPm9hTxLZO2ubmeNA0H4K7Oo7E1ujE6wKNeqJ0paGm+OboNqoGKzULKaEDMkLT+UHhxgalGvNhWcCqn/hOYl2pSJ3PriApCeUtwtpMOpGJiQYdyFB9BTMRSLd/NRx+wUwoVN+2KrByChCeRdoDN3jXIKmr0VidheGjG2I3DCCaVnYiLbUJaF4Z9J6lagP2EZHDGOqJ5umdBRymmEfA0V0MkqajOccnw1NcM6RJHPHL7h7Tnogv23XPbyWrZWu5EPOdghy8oxtW7B6GfofvzUTJRkbgKbLpv83ztXljr2voTQqBSQ0XGxijZD5fXl1drW8TWa0aLAPu21lfFFROOFteTl6m96vlwyYOV/3M41Y1OSvINN7rfQzb//Y17jz5OGkjqvzPDxu8mTMEQQv6KHWaEuJsDJ4WZ5cQCydl9j7IeVv2L1aqN5RJ3Gp189Ob8dULPzg0w6KOUgLWedgwNGggxww5SEnv0+M0j/GEUH39299++O9TrNRwCYY0OvJylw2DpDNFTO21V0uWJNl/Pa/KzyA3syp62gyJynXbjotTATRVmKrk08ijMKSsrMxKEYh8NhpPrr6JPtzc8wGCy7XNUjYBB/LNkSm56oshmhmQJ1KFPfdkcYeEFbTF/amU4rxuHKZZZ911Nl231RPhVU+JkGsHlk5houFKx+0q6LSkbFu2EVeya31Ix4F1UhQt2/0h3Kvpzy+MfbjUrl4rxnEadDr4v+s4Zb2GlasmioDVa5X3+sFBzcbnkrAGPmPU8/w9ctXkImknLmD/oLVx1YyCWLNSTab9dI1SVn3W1iBPEhCsnqvWkKeoXtg7SlXKep6AVbu2QRRNFxMxdVC9Dmpey5Mft0YamI+LaNxqMQQg6IHn4yCbUpoI5vHciMaNYalHpiluE/B0JBl7LCePGIGmXh2BMuCju8/QkFd2YzVWOk8ThjacUhVnPQLf4FNbkFYTNA1Bkvz8UjtfMynezWVnCpNznD/xgxsp5jUyyCIqH9tbbo1VtrdsEolVr4s6w9RCHpYsFuPVkg04phvlNYBS9YxzeHjmq7YurbIKEjJ7CLQ9iDEOrVp82jIxbvuv+uG7MLdhN5gVkVl7O2h1V/IZLCdrBitvPUxbU2Q3wZ3JXE9h//ePrVd+9/1i+9Vk8z7u4HS03XN//8c/+r582zLGdVcWUJ/hL7LRqDuYThej8YBlnlay7ohqEDEA4Y/5frOefngf9geTyytOMzVVSceikeO3KUNTOi3CoSgqAIyLFP8IV2Ad5l2/Sj++hfC4bHCjhR+MlsvlRc9fzNKbMOHDNBCRognq55IOPREbGRjaiEpJVOioFGE1bz0GUygkQX3c5ZIZYNRQQiLguyRZhaEb4VRMNgGhaiGYf/b0sqixN9Ks9GoUVbbab2KHvT12YVGR1E02BMuufCOtGE1c8rl2/MQJ4G3mH6FYusLLFwdX/U42hKC4pCNNmVg1TZgGMhEx7kmiljrDSH49q9M1WjEGfIKdvz5u8bHSyytH57J9W5+9lIpgho2enajO5R2SLezMR+M0MTd1b8xaXqHZWIQI1exQg9m+mm6nYBTEx7OdouM7fmCGOKZ8VYQ/JBkDc49k1fpMCosW4My6ZdKJ0OV2sF9V48B5+qoPWDVLlrlK5gNFcRMBMeI2esRtrLS0V0q0M5wePxGIxs1gaOBrJCEOkWchEVUY4GdFDIaUIm66TGOoB/OJjTX1UgpS67Im8RERKKN3G2EAECNobMGHiCIdH4koLFKWAL21BznFRqpiJsVEV3wO7REKIOskazstrurAKskgSSZsVbYBUyYXBqd+WwlYWljYZypVBDbTYHNZysCRCC9VEc2LWqoS/Pcy5Q/JdjVo+WmcgM9mKdt/2axhVGdZ2MpcbERwOMpqy6aFi/caGoTDK9ojVqjUAty/327vo81HLHa3NLTFAW02yFDxaALWYfHUNKg9mQzni4gbboLxOJrPwEOqQ3fY4WNAZvpNtLyNo/7F5WCIiwdNvb16B4P+DAcQ4+Om7nkx0wnqmWk3jDY4ctCOSan94tWr9/e3HGrjrCV7grgKg7swxvp2MFq1t8tO5qSlWXgf4h52P98DmKPKQCGpDvo5bPnRJNSTSsoRNGpodxQ7KC5EL0lULHyy1cK4Q7SVoZUk7J5ipNbdbnqtNt2GrdFR2J9nhtrhVkIVuQpBCIIj1aPOruPKvIQ+EyBUWsWr5Sz2L3u4sVDeU4ftDPstdKJ8x/Odh3gKwFJF1UfJTFaojz1QICc27AAEre+g05lahSUsNYHuTP2rS9F1dnHiyvZhA1Y4FD3QLl1q08ZCcYcDdR0VYkrVHX1E6JGzhOVQTymRERFIKt9awqZ8Xh4LUGO73TNLKPdHbvphdhb2ICpqC1fspdY97AlYMr7UmmoigNBxepHu5FGHOlAnpQENCCdlbcik8WFlhb56fQWgAavR41VD6XIyrHmuhXsZhHrWWJlX+pFfHUy6bju/YKjj5pWJUMTEP2lEV0TPlmo0NDQY1mouPyluBjjoEehofsETlIiwCjK8UfOukpg/aN75slaCFCbncNdWtO98fBsoULRKVHJC6oIb0Q+Z7NhUMOkglJkUiWTtVZhcvLxc3YQbrpEwtkA7ODtZSkiq+5G3+2D2YFoPQm1QFjT2cOVQVxZnLQ+e3q4X6961qyQ/q6SJbuWKUs4xdmO853S2iTSO/1gX1tuMi3GidRK4sg0Hev2WeCbQSEJLC8e92g3sp0eolFsLl8soGA77w8HDzS0npwArH6/bhM99Gc7ZNry74dgUO4b6BuhyvU/GDumbRUvs32UDuNN/9XX849/pK9Y9Lm0Mhpd6omPhQcDGUqyMwC/xzGlHkaigDzbpbPYhIbrs/OZGVGD0CKpoFlUSlYwseVSBqamQqESqgi1ZszarmG3UzirpivtEYW7h1S82WNxe3wZmE5Gr2JLDW4VsrTY2VlFOdOTxir3oVYyBD+t7t+evk36SIoBi88QwhKSYrp+yMElm9FvwKJTvOBwDcQdjV50kqMUVmAQ9K4IM/cUjvyaiS5FYq5HBgQzKcaY78DzARpnaBjCgnl26AjLCJJwHVxfNhBKNgS9oUcrvB7CSZp4W+I7KDxrX5pcNhTJ8nVER9iTpivwIGCL8miqkW4pgEpn4wIZkk/K4CExwevs148pYVuuBrlHjoH8Z/I9Dwy51Fkp2QR3X6AGEoBHW6ZqExJ8FyWq9Z6UYJHXElNVI6tFoEqsRslFQ07z69vQU1i2YrUlWowpoCKcRdHX6F/SgoTGTwgMC8wffLRvspQQx2d3bDbR8UNQPjAOoShtfdKL38aAjcpPb78LrpashqCjjvgWnjU5ItMeKMxeb0GvhW5OPeSWrFUMEDGR2VnkO1Ft+JYoJ8QWq0vNW4GiwFbXiJVo1qmhFybLHLYLqwFepOKa27IKFWfiwSNlpW7QRySghOsjVasOhJjwYZJkvRGLBEBTlrQBhaBejO6+1BPr5HgeDIIzQGG2/+vbr+cNs8cAhSKGa9nDRxVMAFEhX9+9+8kbj8cVFqaWBf56pu8Dea5I8093KLkvs38dXV+HtTTdeIMTEHBf3EgQ7vJchXnMLxyGVxfPRpAQJFOkNkag42adO+aGjQqQyRlQ6/16zSiDqHuHGIuxNVgwxUZQoLRWjjdVZOKMIOCBpPdwE6Bcl7cuWq3Sbdm0r2mj+KrkKiUOGhfjd3C32JkseEUoqRmJlXKUrOIdLNJkdXG9w6TBk9Wer7EVgun7iKgDpRWXFL07hUQRsAAAgAElEQVSn3EE3GPkBF6gbgWOHg+5He2jA0nqNJpFABlIIuzLEmjmGTxz0PjAYZnt7RcwDpgSZfJGpCfnIBpwpdF6E4yarlT7Fso93DRi+rq15n/EietZye2vK7ZI4S8io2j2XYmBQRwldUSnvgUdZ8A53vzCSDPijTT5QS/6Kji+trxq4ZhfNE3Z1VFq7/JPnMM7HUSlynNgug6FGrygtZCGAJCnPhZIBfm5E46ZHF2XNyDRIEjkXJvlpHTCfq3WakkhaWpDS+GgMGSFMVlG40mutaKQgLAfsbTMpXWCrTESlNXWDQOc55ReCiNQiEiRXySxa+iYZ/J93uUWZ3VG1ouSAmE/VkGbzrTN2+5SS6t1sHW16495mLl/2uzqZ4MTR5S7hxJhIVwols8g5HWfVwRl55vWDVihHArvVnX3V9yDE3346QHyaZxm+G+44WghA1H6yRdoJsCFTjowln1QgJUCMPywtOYaPQPrEthXZ+oGHGmk2W04uJ/1h/+b9jXjnUZMMGyiyrLHb1W6ni9lNuBxevugPdg7JlKl7dPpZwqLOmr9IEqyLLIXDV68Xf/8zRnjisoErGicvEnw1yODm5HxVdZETrQbiY5OASF2id+25+PZEQSU6KiVR2SDP5SbpZOFZwk6i0mNNTfvM/LJc6unLVEQGSZUgZjHt2e0r3I9BHHjQVnSaAl9OpGDxMsY0WVZBNY0ruara6aaIkJIHFOdMEdihybdCu+s4/tin2/LdNugnitL9myQMiFKEoSdZ5SgaZvNeZzDqj8Z8adj9Il2oZTZV2HRiCRSPlNIFmWCZZkmhZeSv5iynwIFKzBKrSLRZ+wEE1hkypLDF/pvnfEJGlGvEypWXq6CBtAjm1i+InytdURAgaO6hURm6eubL3cA3GegixoZ5PCVSD90uST+dyCh2qVJcxrhiEd3lQh0lYpONOEHzRKlU0+OzoKSBg4apRcdtPtavQI+IRlLHTRETseGYxE8UOYynZj6qPozw6bgB5xGtowiBniJAUgOERKQoOErfXoyZlAhShZkUWLPK6ClMMKRz8v7ZddPpmJ+Uk86FB+jhVJDgr+Add9zUT3s4SFdCiAa0lqN+8YeYRddgSF5eosDaeFkrZYMvn8hIzWMnIbGfyRodvMDnIFYuPZRTfFyG6PNVd+z4VmFo8aWmFLXfoRUSZZsgwqSJzwJ8uMsiaRwZizCnqpYZKp84doD3kXreJ7bnuK8Qs3e8vb949Rp90vTje3XmgIlvk2GXpYzfuZ96cfMeX+uTFy/01KHaIs5l4KtTUYIAupl5gb1n1ke2nDfBECUWvScuG5Kl53uixsDypkbAOrXaA/moCHJj4oCCiq7FAo6DftCEkWKX2sPaftEQF9aVkItTxMgIaxBkBVeqFOYHEaYLRtUZSIMBVAb9XniGsJ0/DLeriFuxRxP4CDZh30y/+uJ+q3hDFpz7I2HCHpCeC3wONEpMrJS7ozBOEK3YCFyj8XHcQd/1uh2OTkBsaCeGC5YXqwMApVMQYWFlxJaubAU6/TGmkHoBgr31fdKqu2R91JEDAEuvtCQk3KAkM6zUSxnqH+VIKJKHzBglMWu1ThAqu9rBfH3hp6bSTi5cwALkMKA0TuFxnQeywLeH8ze9lY/VBgFLJk4JBdeoTV66rAlUU/oRAYvuoQFNhUvpejzbcwQpBifSn2WfsVTpIx7BSgeYGPTMxK1R5feTCumnI1ygKX/tUmBIODreyADNf4a2gB6UhIx212sMmWvY3ZPPCzGTQpZCWOBnzS8DhIK79YQmSiv3Wmq3uhyH1yHL+RwvpcqBlG0arbD3ZrZlJvUyd9vZpshclnDpsGngdP3Xg+jHBXVziEb2EKAw7uxmGxfTqPdcZ7tj+HIl5zwzjqGNEp2Ajr6Oqb0TbhZB1tcL/4kNB47PLfJM5ePu8n7udSaYY8ESWkQUY36nuEEZSp49e5zTpEpeSHcxGeLtvee4w/EYhv7w43eIGaRDdjmj0MEggx3DNkeobt++6U8uyMbjoB/M5nLXYQXk6QlCYDv38OWr5fdLpy1rHvdteyOXipA/WTjtbI+Oi7QGk+ktP5ykK7N0xgy12DD3HuwXDXGKW0GL/QJDfZxLR0tAoNqfw/XY1C/ltdIHVGvA9cBgG8NpDGFQ9f2BOBPjk4jGfGnBxli4S3ZFERUxTOzAcQdao8nLGh4lEVuByN8pg7/r9geDCbplEV9kyMOuanPvpLVSaheBFxMrjlEMOv1RfzC0pQoA8p7lEsSYWnMc9jvxAM72K8FN6Zxggn2Wt3NV4krMYp6mhcbRVH/shzfdu+8een7HCbjqgEn/LGeclVrqErBks0lRzZImmN6mYjih+Fy3rprtlBSIDH0gbzWzbNEX9CIPDMBvNdvRlCMCFr0LEiUo1pAW3uLR1C2oNAxXO1sJ4FmPp8Ox8bSrAEmNJx2JlzwQtt/+InFEE40ttUNzjYPBk8gjsKIUMB9RsFoEEoEhAPlFkDIYklMjCZNEYZjbmyMCIE7JzhQ8iiUJfGq+NyihT78+D2JVVK0UM0CsNAhZQ8wM7VUU41yUiS0nNWLWaNsvEZBOQpGEbROa4sU6uvCG6JYyrOHxKeX7swyPCF1L7APUCc2s7SPm/vz8StbChbKYmG6S9Tpot1xuyastolqJ/Ts7mLsMqNxa2QiLscvBMl1uIkxuuxyBpAcZppOLwTyU0U0nygaFCruy+vkT/+Lt/e5h2XUwcheztrtZyKXOQ18sQeA6jqfLLC4TeRY93MeLxfjFNeolkHxG9qaJjue2xxet+T1xXDZsw7kcFxUNVm0PHulZxWViTyeeqDCi8sS3J3JkyYhKk7a2giaq0/Ai6BlDMsLRDDm1xosaSlQijD4r0BBIKW/Ue+KkWO9rouT24jlk1+/CxZyOYNfSaaV4fTpWugbgL5ik28Av7Re5io9q0VcZ0Zk35U6AyMwAUAu7dbFd5/Qkii58X3FAAxMrTNcVYwAv4XBEMXYOtxGiI1XJf63O1vHdi0vXR04RUZ4eqa6zGho4EyGPVgTweLTv6tGoaWV9RpNKRRscF0MKJWa5rj/4/QTX/W/+x/tkhhNj6IGk1XX6PX5L6i4D5NwI23bylVs5Hqjh8Gr+sAgG8lko3Hwa5ZtwoIFIsWgKazJ422QeM3HSNYyFmgynJR0SsJiFTb8Cze5XqfUcuQRQmlFOw+pQLkCVeFEGgxJQSsVAmHCgXs3ZpVKf9NEWpExFGk/oSUQnlhpocv5sEfBE+oTUpkZSoCSIJRzc48SDHD5hqGMmhQanTpBiypJZqzxzwUeWCGLAPyoi5AK+AFR/CiA5Fc9QyeCJCfc1uN9jyDrFsXMFtYBZ/F0v11z2l3EHFjJkK/OvnGkYseXp4DYJDYUIXGTdQ6coSnKVGmp53OWwYtI42d9DYPJaqK82WYwVFd5Btc5JN7IMsH3ZSm/XnDTTgCRT1sIH6STcYLu9DeXS1k5LzMvYkbq8uFhvp9mSWkTJoSFaGDxbVDhcm2/wUY5pmsNdI4XmrNUaDfuLVTyfiXCDVuH9Il3E6+uhhyMnSRGrX/HjwCBn9+Lh/U/uYDgYj8MoRpX1BBSFvnbx4fXL2WLmymapeCRH9YeUcuIWIZwAM/IVwn6fXJDMrpF4S0c03I0gU9derSa1IQITqsByr/6qbEJOWZK1zATP6qlj14E6AwP2dImqVD8QKFsMBXm5mE3Hl1eyzKPTSj8ht5QwecqjpojSGNGrsiVryVU2YJ0xpzVtZ90VfRXSFedvO9xr2b/glEG3LXaWfDXiHZSpsKJ6sCGaOKCVXKX4CmOC4LLXH+KRjhmVPPSQyXkgAkq6Or0oq945qaCBecZsaMqoiNQlYlbLc7gfcT246P/+f/n2x//3pzRabzCXXW3jaQpNkDrRaWlhy/6e3gd20hMCrV93YQOYPHyYugE+UiEpyqe9r4iTQFcy0c21AhZNWDmhugP+SbWIjlr3mamaZug46TTVpD8lQi0G7KPhaOnEXvWBqSEXU8yjYT9zQVAlVIGC54kjqlr2U6RAPS1IaTLySy1QFTyZW2RLV45moK9Bmc0umtzFgkacTMz2OT78lWjx+CmwNDBNpUUKs53w1ZN5S+yc1AzEXFzArv8bzcL2oJ0lbXfY6yTt1f26O+y0N50kjDecLxS/WQh8qutlLi7IoodUMbLqQVdTyQ8EVYrtMr9T/dLKFwZTFPP8lE3LIqiekTwP02X/ZZ+pEF0kZry4Nlc9vr2+mnxcimRzLmpFDeW/dAWBr3TmYvbbWBZYQziTwn4bRNHKt5A32F6NrSsIEVndGGw1vZZr9FXRVdCb9NVWnawuO+P3dbi4j8Ks550hYEGDoissjPdSmVh6l9fZ3XsyxizHaBBFZ1EzihUERgWDQRlRKZt0OehXXOdnVZFHayqvZlIp9IsES6VNMiRlSCp5Sn6IkmIBEJrn73Md1VOVTOwJLrmvYBNhYKQroob59H5yec0rjnYgeVgIfI5RBHNxtSA+7VH/YJJQI+xqvGWgqjGLeok9DbFeR4vZQWPnj8TEqo3Gix5ERGOHUC3tNvEb204/kVtk3HZ3y6nA/hBTNtiMHtzvvkYI1Rd6+QDdpyq0qqCbUxRrrbtRpGURPke//Y+v3v/lJpoW4kHWWidb/kVc59VuOT6SlghbbCaCajPg+jfqrkDRUtuvodjsdsHawzkC2SrZ438743lxNaZqDTqzXr+9eb+d3yxFS4eq0edraw+lU2oSAasyXKUgfKD3gE+BcjgPogZVHM5jvyU/WBHsROJ6EoG/n0tGqVZRqvHoo0HVFvsoRXv1B8dRCD9PBlrKgCSYJkNM4uCJDC325rLrJf+UvblWSpGhmHjAUux29LRS7pezm3DS7ETdFcCVQaWEIvKdBLECzkpAUSQextFA76QT6/Uuym4i4kFv2/X6XtxjnMudKoNxP/zIOX+gaKQFH5kCKgjvAJ0YKz4hfK7gaFwgdv0CepLNNELkRgm4mEYWVR/RW1kyM5kZmf1HckCMTLtL0w2HqHIHf2RnCllqjT2LCOJsffA5jntl/GjgAAZAdg9aD/1eez6dJ5zb9HOR0eGWR5HAdgUwGLmJNoskejVGlSUtFxYtjN872TZezt6/WV+9/Eq2rZ4pDC8v76f3Hl/lan8Wp2K+54mOthLW+CT9+htoWnmzSzj0bpdLhpiE/UlPz3XCjipUp2idQb2UJbyawarhkdHg4nJ2m16hPizWFbARGeviir107LHYKnwk6E9ZDJ4UsYZvQrWhjwLhQG3QHdrzPYBbem1ihXk3ZwLZCQwcRrZ0C6Q+y8QKBJTKilHR2aDYGY96wYDdVSoCFOsCi4WOP3oh03Bo16NAnddrMisqK3JWCqPswdLg63/96uaH+9m7ZZm8nPaJNvxr3a6gbk+kE2zWuEUB84ly3tpnaV26Lo3rcMZ1QfHoMkAIfoZ51aoYea5bvqQrJ9HFqxGfWDd/ewhvE7qs64nxmSuCIw4tTmqMONemPVZ1eVRzQDX9ESlIIVVpA/haOikBBBlCE+fBTyBcKvK4R0A11VICCKom2K9KqFbbaGf+2eJaIwVtQc+QC6IhLi8XCxQLEFfZSIkUVThBsAQpEIVzhHlKDASTkFLDKuc3baeYEZilegAnlSjZ6RTQz4EUSHDYkfWCbb5qnbrlGlVu0tlsk17W9f1gevdhsA26r9lCcMUSg22TXAYVGPCMBhWlGBi1vRr9U7WqmhT6EVD81rzbS5IMW1RU3a0IWFJ5QVnGGtYEMfJPyhYhV5FxYGrd9ritAzN9wVNoKKFAeQ+ufqB1storpZTWS4lqSmQpuUHDNFYyF+txDZQiadBrz27ue19fw6KkeT0PpWDxcvcXf65IV0gQWL5rIhjjd991wsXiDpf64wnusvYQ2AE4Giv6VmUEiP/y1fqnH/TZS6SsgJ6tmGnSz/71S1xF0CeQhH0E0zc1baigoBd1tbJTYV4C4jNIgaaFquq0bDKQR7I1zNuV2h6fAG7B1cuHj+8v3V2X4kdjMZ+qQ4XSetjh8RU8a0mZ4hRdoCgHJXpsxjUHJTjJcQ8MHgrTddZPx+/3J64crIDbKM1ajvkVkJsh7d7QQQDkn2xGdnobd+SOL3zXZ53bZVIxsvAX8vLFS4RHypbynPhYAgWqNrasAgQNCq/MJ8K0swFNS1ck8ilFdXrA8gj+L393xd0HN39/aNqswzAgXXL94jokP9peMdiSf9pE3a6oFEeYswUs7q2f3y+o6+gHcAnOKY8Ic5kvc6zKXO6I0dXAcXvv/usWHxbreINTnuguYcKkCbIfSlu4wnRnz1eusJ4LIeJziQu6jzUn2ZXr+eJcxoIK5xaxK7XjoFRS0QEcbAtC7/JSI0Gz8i71l46BP92kx48mi/6lUWEYKldS2C+jZIAnEfkZ0uJnh6DnDiLCUZKiGUteHQlkLLPfkRL7r21ZqogzszwJpkgG0pLHzlAFhjAWF+M6G+V2V/MAmM1by1E22Pa3qzANuBtHocqxvrAVedtg+CJofeQLl8sC4y1ePUs4kFmRdoPb+aSNKuTRAfbTnVsPIZ8a1Eu6GiepuqcopTFQiKW3CTsdTAasQy52q712GnHAE+c7giUTaQFcfbKzgotqSuml9DafkqWQhsBENUtll9juqYBw/C+sOOy0Zh/uL16/IDdu1V+Pvr6Z/WCBFiA8gjsqLEGHq76VNKYWETF+p2beJ/Ppx+Vy/OLIXdHSd/WY7r1gG+feH6CpoWKWh/Uqwv4milggdgHkMdLabgeMPj0KRWOBAq8uCLlUUISTmM4l4KG+EqpETlHBBkCCei+5dIQUO8PPEKeBzuX19P7DhbeTmvNDhWhlZPCJPPEzYNJUBTSBn+EN8GPvW3NIU2Yt2sI/2nIdG4gVo1ZMrAaXHmcQlMmdMrHiFTRvglNKpxOVzoxJFobw/MDtu71V1k56jLOydGXKgrleZJnG4QrF1SdJcgaCiWhQAGFR4AObR6Dxll+zjktKIy4G0l5E86adxPZpv79zSser8fXI8Z33f77jzmo7ZzXOnvpqseYfr7CaF0mLfbdAbsmqZha9eGHqjlef6e0c5Lv00CcIwkJi6t6oCMeu/xu2RP/rJo1x1aMwkC1RtpM30b3MUXjp0MZnjt8jbs8zNQKWmQJObwtFTLBLgTrcA/ZE7PRfNg6qamYUbzpaQNH4gCQBRuT3l8XQrh0CMmw0nmAObvqXkZPEMXOLyFLKTEo0UrJMyukl2IBswGEN4lF1eT6z28A/TVxVVKpNSGrLUntSkW7Up0HmKFRFJfUTBAOUfIpuigEgtYOxyaYLORl96jQtGbE3XvfXGAn1rwdhB1l2O7+bc86P9EplZJcz4V67aj5VyXswIe93K4+A5lHoqrBVr0QpiYDFPTiLNTb7Os0qpLgBDu91MVhFOlnO5/AIANIwmt/et7iBgk/2FHv/jMJKu1WUViQqHp7hL199/mYzu5v1J2PAsTIUsscOOIjRNjGIarcRs1ATws98BJEDzscbIp5CA+zlt9wV/S7sDw/fFW3BbRK2JMvg5avZexy10qXZKo78YMAANAuVBrJeLLLLSz2BgBv27IxT8iBuCP/wv17MVVwXAaCWk0QckO14EnYdRx6TAWmtVuTScH7m3x5fHeOr+ex2zBZPEcyhQlcM3n8BEQtaabkKVkCu8rQLK+GLmqB7Q4oQxLZUTNfFxMrF8RRXDrXkLhzleAVtFnxV6pcaiCpJbQWKewa5T6fTc32uCeWwaD5oRPqMpmn/ovaggw1TS3J6SdI8YL89EBceszQClIUD+SUdbiwVrA6uUobSo1allhLleJOCb6cHQ//b//YSGStZnKok26ZZMl0nyjpejiKKKkgdRbT23egoPwgYCBi2M8eyMWdX+rxxZereKGBRl+v3vkbG+vNtMqeNej2VvwQGsTL2X8UPMqtgIqYUdbKN2PPqvGzpmaK2AbpH9SviJg9E13IJEZNoslUTS3lOfAQxzYsn5gdDgi1C6YLgo0Np0jwRbDUbtQCwmn5WCq0j6GEmXxsqAJYmoy9lZ0RGfp2ZFL26+7rMl/hd15yFw5HM5TaqWkpVCRk03zUC47Wc6ClsI2hj52V39YF7u8qTQiOI0gsQgxvL6JUyMYWWUjSmecexucc6CmKSLU+TRRLWzthY8zi4khdXgkvGvcutAV4iW+2wi+ERJ8d83HBbAa6QvQKURi4aj2rdVtbaqDW+NEY5UkUz88dS2W02ejnIFm1M4rHB78de4OaqM+gMXyGOY8DEWXskLKeVOcv5637Qbfc5odeeTQEmHCTIno9wCZMTHlmyuX457PYmHnex1NRo+oxGo+RBjKEVLGlaUUEJ1kvOhfEJwhLJXdE3Uchd0cPRqBaadKuupFyVeSFIu77Xm4yz9BbBGtcYSbjw+6PFYpFPceoPOIyU7xKeKEIvs9JxtRlPyNO66aCqRKlCBSXCr36T/5KBZYwgWmZ+P7NPO4OrFwTRehLF08ByGSWHCjHGEoP3TI7a7TfNlH3eCJVAUtRFdCAfnblcZerY60a6Gi4gI/aFqTKxwk0mEjoePP1B38ESMTexQk8pkjGz60m6ONWt6FMRrOSUQ8/rj1wnwLfZbhbOERqyDx5ON4PydU8GXztC7xNAmFmIdP1oZyAuTKaCTgcTsvFbyiYYqhOO5NfQ4C7Fe1CjnLlUVj8qbqzRSAFZRtyeNl6q77m9r//t5c1394ubPV1vLXArkUnbSCccbVZGTnrfzeuK0OO4048zzB7oxqO7ihbYs6MMP6MwqxbWJGMf8Ot/vf749ztupFd5lJhVIic7RumWM7bJTHyYeUFalgrpEoioO5IctNnURzqBHiWFiEk/EKl++R3IfPQVyNTWq1gu/7GBaGzhldpSds6fMw5ttSBliKxrh7CMChNIxJ/aNl0iVGlvUqSY3T1ZJ6Rndr2jgZz1SxeeU14vdpQoul7zQPF0etWIHe7rIP0p1lMSPcd3y7YHb9bAYFFKO+v2quVyAP6MINhauArLGsRrwYBG+GHZl9P5ubgG7yPwMoH1NugoxGJDr+u9yHF9JrZtOuM+xLazArPyOKIKirOkAg1jgk1U1zaDhzXKcpyhqjXEdjSWnLtmgRsTg9yEWARakeI+FEP3XmsbZh4ef9oZHn4RXdH3jOSc+aYj5rYAyYXxougv87fvtPEauhqOTqkeooM3p/XYwGExRHXBJwk+inpyAl/2P8Vd1v1tslw03hVtqoGmwNqF/WcAMQ3CktsWDtI6jkctURyjQmN1X7F5EfQHUcx2DN4uICaDVw1qyLzFMRJrg5p2ymIHMElX0pRM6ITPamraEaMSC0ajRbrqbmJu2dMvWQrwrPHzHCqkb0QCUjM5DF2Wq/axFblKZB05tyFbgbiwos+yNsc8g9EQ62QuYJaZh6VdebEym+O7UbYP0DxpHEQSZsZCYxV4bAXizMZkqEbGvdZ0+ZANL9WIq74vp8APoE0q7KQ3++wcwjHn8IzOT9VAE/eD1pRigy3FhUN3BgOll5hD5Ff4lciFMefLP166Qe/+zUzmvTMCnSXApO0YOcUYOcmRo+Gk3445Wdz2hpyB2RNFzoB9clbaVfINUWogkOCrl3+86nmz6dtFPn2wO0SoZlX1ch5KNNs0zHQ/j7qDz+pIBe3T/oAhQQslROzKwF9jS8ROPxCnmbDRgQxnvQKfatUkUguhKkhRtd42rZaiXg0tDR+czhrNt7hb2l8KzsLt/MxKMLGL5VRVAoqMhVOJbMOw4+xR4yQoypbirklBWy83vWGvNbNzFfGs5Vz17r6bXzcJWAUzwB25DCUwJXoWojgLba0yvpmkYiAAlg1uzmeIui0LhsEqTluJvGQ/ACUWslVnw87fTriRd3WBPYN1p5hyFLZ6RinmlT2SHsE5RyyvJuzESHhY3IMh2PJtJG64ftpgCdBdyzUvsvdRs3FZh+UvlAYRRvT8hw/e5UUdCmV68Mw6S78gxOBsIvCcOGGYdFDxbjvKXRaDUd8Vjd/3y2blARU3hzV7GNz0rGRQrKDvfnq7SLhBBFbgK0Dm1G+urynNKGa2RMZiLWSYs2DHYCM+uHNtJwPciFNq3fpiJKoqbfqXV7ObD5ft8qFC0WPxFSGHUgsmrxZ+bApLPR6nhLc7bSPb1QNDgoDV1ZFAtQ0obmYwsWpzVrXPNTQ776BID8oNA99uO+7axSrQWVxEXibI0O/hh6lvbQVWspcTxt3sYfHQGh4/hyFjVemoNAi9qJHCI5XXLhblyuqeKQhPskiqZeRAQ6UwmjlW0zoweRqYoO/jFGE1D/hffD1Gm/fxr/eYhFczNKfo0Si4MZRGHDUYjZm8buIb/P5hWFfM8c0AnvzGNnU/QCPaOLgMolmULFCjgrbCvFnMklOEwjkqIA0wZZDyZGwFANAeB4o2mGAwgc80w8EuBJP+uAi9iMT6uLKlUqCKoo5fe2yQB2wJcDa/5yJMl7g4Puqwx/TUlpawNY/CFyJDWMKbVMX/ZwomBuLJEWjFfg8ex6U2hnS2iVfJxcXl6iHXadmQkBDUBhCzTIPkV5BIlBtF3IZwYjzY+lVhCSefW0QsuVw87V/2V+8iDQ2xRh3VOwhbZgVlD8FuhsvK3GatFddKhbsL1fqDEPZfqv6RjwmxqWPzMcNOvO1uOk53ozY7QFPvUqC8+kz0U/sNaHgC6UG2uf94c3rvMS4Ybty0m7ns6kqAqaDMeruSTxq0WeweLtVd0VdX3Gqyqxkiqilxl7KL5e+ABnuyHontHY7d15u7RbLu7BSoboAHg0tdjswoSdBtyFAVpYgopuQKYCISFex2NXzJMSjsX10/3Ly/cmXm0AFl3dIcKmQhf6ZDhRCPu/50t+pr/g5QDsTgfD6DxOU6Zz5lDWPzDtP14cRFrlIXMIs6GdtCTKxqJJXaHhI2AA2kCcYuLOX2uYchUe4AACAASURBVM4m4Pxts916LZIgd9Hd3i9nnYFc9GTn0UuGSaTGKsOQQhH9oU7cLNY2nJPi+1VXi8C+yvLv+OoPlYNeo4/fwUXg/EcPcyU8kVZraUphng/8YDIeD7jsGUd02h9ZuglvY6RabdWEXbyc19sjYRO8s9MhPos1n0qHS65X69ntHIsxhO3VXG+8UkLhVCdmqUNTBUh6+vH9VwAxf49CI4MJphTtJK75TMf1q2ffbdSMa+o9GgFVxgNB8zr5QY9EjSSDGrazET4K8EAGdp+03kHJFLXD/0DpvVdKigHNIhFgoppRVFY/miuK18f+ShFgPQkl6lgtEnE2zhTKzxB3plu0ACE6LSPj7DBmjxCVPIVygawRRYBRSjWqMU/zC4tGKpOCJg5Ie3IXTjfr4fmHFTOfXll6DUk1TFV+RxdiQmShND6oMHhsLVvLdkwDu609U60mjFRJAYCUjXQJAdDyoy7jV+ulVP0HnGM1Af4c0zl5M+q0lmoH8BT8NJ1F+O52h/3OMkrwp6B7gA9sliHt+R3PX4ubjxEX7Fxd8U11AmQAy4jGnRfmjp1gjIOkMF7hA06XZQroOr2vvnldslxGjmIzSumuRNkRR9pK44QKP6csNB4n9usWhiOOMZG0EaTV+GJ9kEOFsGEe1KFCxw/6T7+pkDkZCYhfYXXZ1ToU6G6mZEYICkMkWrYC2bpdt1kiuUlFvIOyFUiQ3mRVRK5qUBxoXrJrogfF4lXOVqitQBf/AD3tjM3OdnocNC4664dw7oxylapGjJYSwPAoKFAisPoYm6pTSu2BhZoH60ExdSJMFjs/82nCHnzrASXfN//+EnOl8F7p/K1X1ajrOOPhcDgYAI419OPyFg5UH5GYNbSCCxdb+GQu/5hy5byeeNXSl/Pko7IK83Ep7CUfFrBgi+nHuWwXoGljm6DTFi/26jNM1agIsi9m7TY4mKrowsdhVi2lGYh03Q386mBy0pd2MOk/TwRkmirSeGpW1nHwJMIvgwESwQRE7OLPK/xJdTIUwPDggLAxKOLldolMAvJqrS/ynA/VlFSRx+C1D4HdhHC17eLmWzx7O73epsPFsng6sFqtJh0+RLHE7kTYFJ1NinKVj3gGB6yv2P5P22mYrvtiyysClhBUDSPNRYKaSEJNKGZpy5k42WLT9VvdkDNLjagAA5dxIkuJICX3clAbrNjMrY2gvrgXQa/9YjBcJOJWvjZAXtQSWLThwz1lY3R+SzZNde31z4i/JOae37vKQCqJ2OMLxpPRZFIeIDU1yaae7ApvsssX1+liwWXl/Ys+AkR/2PcC3G/JlYI15YqkZkYocnyWf5nTFs5DO9hyGN5tTTY3bAXWcKrjusnoCgdkI3Xbrm4KhwqRPPFC6bZYpMQ87qyAjIG+iu6Dz1m1Dosy9CDDAvjsxMarJbuxqBjZvOs6KBY9TNdtEyvylObqEmI2puRUW4GI1gw/vLg7IqgVpwJLBc99RKU6aaWzcN7xLX3qmVDAkEAhFmuoYB7PBFPODsciT57BtzWm7mWYXaf76p+v795Mp+8WtSsOk9pAhlSf08Fb5OPZA9rQqNPd9HEcs4OGUv7F0N/Gm9toBZwtN/Ooy3lgla4nLrWw+jrd7ecObl2Mxf2AqTuvsLiHT03RrtsNLpGxVtneGSaFvRaz1Cdxnp8OO4PEppIiQnGiLAb8EtfiGpIHMDXYp0hvgNWMVdT2PH8BSwBVfnXz9a9m3Kog9Ty1ngXFYjW7nOhPeMVEoDPIPCELvCa1nfMzittiAu6+PdHV0wzMXRAoFvMFStdNBzeZuzbTpOBlf/luvhVbcxFzjzSHAuRpFHWOlK68Zg7DQyi7Ta1NxFU1xY4tmIjkumfDUSm7S2A/kV0K7jocDvtxJKdLmgLS1StXzLU2u6+ipry/wvSh2/1qNMKj4O7zBRs4jnF7PhuhJKKLaK+STvSAMtHuZYYvsq/ndMWPA8uv4hO+hvgmku1CEYiyePaQLJejK9xl+fYMXqUj16HIRLtu8W09+M1vrr75hvmhmq2aovnu2bivWsGnTGH2wG8sJ0y5RrE/8udJmC1kVqzW6fX7kQg3C77hi7fZcjHtTvShQrktWyakY4ERLYqitbiwYg7Go9iBEmCikJEjgas0QomC6To6DS7VZAsYTNgVlosj9UWBIuUdH54aSdAQ63XRcemtQB+3630XZ6WmdQfwMq+OtxiN3HgTLTgt7XFGZsfjBsTpEb2YwpZnKLQa+JLmnyddKSxZHPfPEtbgLrLRby9c7YnU4gi+qIeDgOsYOZvS2sYtDgBBDYYcp3EcYYZS4COJ60rdbvf9MkJ21+9pTW4Rz82q+Iv3Cx/rOGyrgihBbH5EG+p2azwW8sE1u5kzMZSKwnbBpceVQXxF74e8GbkGi346UQBSXJ6fF7Uh0k8E+IZfnQeFuZ3hKXE46SnQwAcICFIE4gTaGwSBRhjIJ7b9KU04rywzhQxYmd52UxwphfCgNFMK5PFxfaRmBfVInr3XDQN1L88OaZWsi9gFlcaHDwY5Kr3GXBx3U3JMd/ib6/nfZyyJGhrzpVhBYKraE3sIfYhvr6LqwyMJUtnyE2yZccU5O1zNDX84zynkWXlTu0hTSBXDwFwGmB5kskwxhzCLxNh0VTHepbgiNWTkt6aj3dtffYyJ8XrghenmjmUzwEcyMzByzroTRd3t3IFNNF/JcSgOde56Gp1HiHq/2+E2QDqL1ZU45GKAG8/vdAJ3ReMuKxoM2DFkKqilZ5iEt633kxej7TLUu4qnSFf5bKoGLZXWQv78E9GW4n4gWsSd9tS58JJw5Wz1xmsZd9SBt2+XL9tbY3hOTxWHCrnUSW6DLpcpnqGPUhTJWiVHAi3XD0WWvb9KYBb7xTRhH7AwXRev66NRr+22t5OLScqm7AoPblw+fKomhoVKsQpzf3Eq0GVrC6/dtYzxPH3K5n4/mS2QYgcj6PCURQ0agT8BxtbrmmpJI9nJad8zoUksA+Rkitm9Ih8gWCzVuXmysxEXT+he78Nf7jgkggtWHr0RN6qv/bsVowYpWI4w0Be4a2bIyk5FMZhyFLnAVMbyiPMs3e7bGfeUSl+QyXQJhdNwwz+50Eb5i0etJQZb3M69D0yDPPCL8O7kxgZWrqzFNYhyyKkuIM/1L7x4ttpwersc2P8AV4UFjbTf6kQmFx3Rr0weesvE7VI6Tn8/kXWqME9JAVUCva4ZDgx51HjCfATkbuD4vh9FkTDc5xEU1vkPGBFrcZZtFamdPSWJGDz3usiknslEptyjI2CouaXEvzl6gvNh2MJVrJG4GEB5hTZLHWBgHGHPgftwbMJ1cXKlkdgL214SDkNm3AnsQwhUZSlAKsmoAhpNlYg74pizw95QvEnE4yhBX1a3n98djoYXbEJ17m6n0fTedzAQyQNmZFvmjmULvwkMyCb0UjamtpnYv2A99A+pxOIr/9txf71cfby9ZT8ezp5cBuzSqPN8h/gc4YwpiTWHTJ7LYR1Zv7VsxEjH7lzsY5Xx+zpc3kbR4OKyPxrKWNsPrLaIdEN38OqPQTSNzeVr+7nqn0x317/+vFPh82yFXhmqZ2GII7XlIhH7Yr/dnzi5Rb/dgo3j3a/Ca6+N0KDTKclNhfmhQlzX7p8jg+fV7cvi3pYvKLyX2dCqcbqGocReLWJT7m0BjWSn53uDKxfXcuLITc+QOLKh68Wv9n6NVZg6hS7WEp7sRXVkK5DrLhHNi3Z82m5kdA+4bYjD0T6bW7KFzVrZNCE0NcFOF8IWnh0AyCMTZp6B9rGpPt70BpvtQ1o6pq1yPr5qDN+OCFjFJOwP3G//4yW9g6Sl1UvJh0itIZJDjVrMcTtrD/Wz3TKJMy+bKwx9t/e7y9Hb6YK72Hml85Z6i3nT8hff4YZmbtnGXkr8xVeAlysTZGCkDQZ3+SsFffGwTMKDxmTtlj9xkwWXqDBl7VUjgCATM5BNLKrRFZBu4lVsfp4UZknQsOtSY0/EdnAmDob8koEIOWEvFMgH0CZzCaAN/JPGqboks2q0NeYaZ0GPrRDcGOp93OMIlXhsr4OldNGbxyEdyGHxPjykqjwiSCGEcF1uE0imR85q8VbO42FTIzq7bPGAO8e9EtxezIYcNeJr1T/VPNxA2Of2nE71slRehgmAqRb1RrvDRsc6jtqRbDEJg823XmEo3c26o3bZlgKGHI4G9DB3GL/vdJYPd+Zqh81Srp5V7RAulWhdp4AgMhb9ToV80pX61bTq1x3BtuebwJkvsrNcFmLJwZ4RFlIQDRFBKTszdgzlW0vRiy91MX7vqYvmsu3y7iZaLiYvru0rz8jIXhN+mdmwxssRZtLcBXIGtVWf1vbsGUB+oazwpLf2p+GyF+BvgsHZ5mveHfSiJBr3yi4G1PyZcQvkw3x65eNhLQ/VQ4VQQwQa0TfC1Vw6WZWr6DEDQD4vCWQW4ypRV4npOodMHNe7QBXSQTfMbCCOTcVsnf/4BApDLMNkjMp63BjARO9Igoo6FRgMceWOoFcIVo0ln/sFipVBulhymlg5hdGrGMvWE1clkavYbHVaw6+yjsfKrQi0bqfzbnLrrfhwsGgPNZRYdoBgR5otpu70TLHbsMstIMtgMcniH6n8C6dhsNhwVIe+E/FC1FfiyxlvM6oPd5CIyQEjpcHSqXzo/vZy9H62nK3y/THNOuX6VO7c56eyjhd/8XJPs9w8zb7eXh37D7C9CFg5xGw5i7hnej/L3hNrDF/ETtu9uApa4877j+9wdWFyiAcXCE3X0k6T+pQIM9pOgn4KIFWWwQaG/OqPUdI0nvxSSxzHj0AbaE/G6zgAEDY4m9xgexKpLZaSPcLzuqbUj6eKaQZJqVEHIOWTFjPeDqySmnaPy1UcMPWZUqosO2KD307Y70MKRpssmtBdBRJjtwzjQCIiromRahu3bEm47nJ9sBWyVPRbou5Sma03+9EKeIXweUIKvXP1zev+ECFJkJ1Ol6tksHh4aGUrFFldVNgFaryummiICxm5G0o8eg9GXBHq4DeIo1VAa6/wmLU7xSZMSxX6t1heICipK4QD2UhEMcAXf4lm+03+9T4NnPYfLkf/eTu1tgGPtBYa2+4NZeFFV+064kFB+TPjEbIjAShbAZlSOPh39/aNPxqPLHdZHBfbLimMyitJlttr7+VuOBxA4VfRUYETJIvh/eLexykd2gSkfD53wqztl5vHcgEBcYa0HYymy/nEkrH0oUJuneLgCu5XkIEQfZS+qgzEIifQmCAkA4ZVKKzkSCAdJ/ql3jhADcH4Y9ZRmqpCrjLFycv9f2JI2xFdlknXEZ5ZKcTbAhKHLIU46scuCN/jxWAuFfhZHn30b/Esbo2RHLX+CexZ6SD4eaun6OAy9yLtBmquY9rdYHbdW3M9Qs+DpAYgm3GmZSpxJwSY9HMjdJSnvCpIQQG/q6IEyrxYsZV7E3o9LkpXa4ooncXklBvjsb6VlWWfTeik0tLBUvL1xdBbRB8trZIuZGop1Q5e+W023FWB4bnc0yxHEXvCNfv1wS36GkSVHoer5bTmQ08kKroLH2u9gH+O3Ikjuh7qHQ5Gf/vuL6viam3RKCKKlhF6wjPVCO3OD0hmcBh8RnEDRMcfJ0idj8JjSoAqONv6P6CANkGPnHOBUlB31bkFG/JLXxT03GOmXL1j0qTXeNiTpeqHjMmpWhq14u5avglQKWLDIL3IByVTo8e31PVoMJrNlov7O6dVKK4VouJiqi2MxxTRXeMGQfzgoa9SL3c/bayZReDAqacpXqeXqmG5Mqgd0MaY8rlFd6rPMh+VdK8b9P3p/cN2OVfDp7EkL5jdk3jVHYidH3a3Scx/aY/z4nlJ+VuQmLaq2UShbRAlwj9kLKZfWTBk2+tQjb/idxd+73fj4d+neExuDvtd4jhdxCn7DBqLqsjB2RYLLUw4NKezgrHAyI6haCbxGCLusjB+DwZyiy15OJqGaY9E5uvs8sTBKLAZuea3GenP+s3F8KIb9pzM2fY2S+8uCVOvU2PzCwH1wsRXRLLpL1fh0C12VVBRLGZIM9xPM3C6GP7I8tnAxgwJpk+mJzFdF7EKuQqTS04W430jCMQFFmsuH6WiBhMlQB3x0E3yj7mnx19rwFCEBFgCMyX2Fl3fZSvwuU4F1iFyXlq/1+bkRdK5ZOGjpLRPGVQxfcJIiFmanapAcarnXa3EtZ7MmNzN0l499OIPZa2MkdvyfZ44Jx61QK4q2EekoOzx9q7NKcMo9RfOPKfvZ19hAcJwUeuM6HXo1XbvtxMcWGA0sk24Xx1HsFyzLh+YjXsgV0Pubeq8W4jZuwkyCNUUalJqIrt7mrH6bXECEadWImz5uYhPETF199xVlM5v8yOQTNcOntW67HGywrEweKKRkzmkTHa8ef3LP/3b377/axgvAXWqbXsNonVJ1Ef/1b3ZpcFPdLnmKlKhL4OMXwoyxkrFdQOkD54pnIJhU1WUJVTfgvPjZKkqqCJlp3ZSrFgkP/IvMKCxVVh97aifnB+LlyfTWaY9Tv/J7e29VsRG92qd9Lzg5etvBOEsW6zvF/OkJS4wx4NBsNlMoodbTlAbJJCa+I/6SJr0hpynTjoJS565O09yCmd00RvxBZu12SzUzcgRN6DqIoWKqO5dYxqTvTpSqjNwvzrfvVEY397cX/DJKUv1Ifqsomg6nWPNAZOw2E8f1JleT255ELkpX39VVKiu2H4fFU7GY5TNN5uD6p2Wi4C1o9h+3l/5E5zy1ciLxLhE88jx9rJ9gM8qW8CiDDM46wmcOX75EoWiKEsJLGDrFE/8HO6HxdiSn318Hy76Fy+uk82qG7TmH+JJ65tvX1/RDccr/nXlGPWHNGiRcQs4l2hnHt9JlcCMJ5KrmlPkpkIonK58y1x9yk2FfZYs8TaC5pZewD4KZi7GD4OJNYu9SOxiY5Gt5AIitL/dvue/YPFSGanlgFxlI8WZQs/l9k2Z5ZDDiq1ADpGixwlQJg9+ia1AG8Pa+KDX3i7v18Mrs6wwc2p9h5aKoI+Q2t96V6mylxYw26SV3LlbsRE/HihOIJ/WAxF/LukKmEBjJ1dWgP1Q9PIuVezv1ll8G462LpsBWnyUU77K6nQ0wiJdFla1kRgMW+LFFFLAFYtoQUT6VYfiL0+YvaOGfDNdYlaRv1V/dJa9JPu1FWc6T6MN/8Q6vtNW7kxFs4XpL2cRl3dhgCzV9Vw8h3TYg2ZqYadaHIDRcLCyIO1FEZH/9Md/+fsPf4+TcM/R6F6uRz3AKEbUIG4LUqClcVK9womQg1ZjRe02wCLtSX9p/FGNHahS765TiwrB3LSuSJMln8zm8VkiilZK9DgbXMGJhsuICCdA+0aGeExN7c6L33zN3MrX45p7EeKMnTU+P3W1QhOnFXON71ZmZ8RpZKx0NdxGcvJbt0mZZyFmKElIbF+6vazf4rOsyCDZsGrNWkwvbM/3UCLnwokGcOz3QHMbijJoHu6nOFPQ9OcXIend2w9yHWTAJTRAzKm5DyDXqPEdury/4xagi4vx/d3D3c2NMglSbdwvoJ+kR2is1S+MlzhdY9u1Eodb3B4o6/v+7FEH6FeaRvN/MxnchDUq+qYWM2qZ+mTx3g/IzTjB6g+H7374PlvlFwYwnJXxO5eMiwHPNo5u3vy47uOfjcNxzuurr3a2rvvQqk92fQcHWrXoZ5qyYU+egK8Kv8YvLuu+DNOCdbk8eTZdd3EXrJZJmsQb0UipA24Mf0a3dpsl9k+tLiZUyuu62goEVIfPKudySGn5nmBXEZMt+kaT5pRxLCoH7gfFqz46MMSrz2Yr8Gjvjpz2dHG/HV7ai0ivv3UvlnhXhnByZcOqvfzgZvnkehRkfQYRZcQXgtkHqM92birCsS1gNXVWL+z4UevCvdBmtHRuwTsyBaJLrtbL9IvNq+dcRlGIq1jRNlcWKiwvf381evOw4GxUCYKwZynp4CP6gtVyvY627WU3GCOVD/o+d8aLPa5SVuUYgjmIafUQ4wNJsRYqvfnH3/1xsZiXZc/a3IcTqQ+pBYg6KNqJyEkEUYbwWc04kMbIdiBpgt1GENatsBN/zjhYncAcShIRrtsFuFb+I5jyKpKLALuMpZjJTfo+xFLG4tEJ/IE6hMU3Zj/o38V3V5PLOIVDxZ6P+Rfn12hZo3mMoQaMwS+JH5dLBBUJ8GjWu3Qsx4+gLtLGbtbWVUGKoOvRI4EvJgU68bTfXDN6WmbJhcZoeXf7ttN+9folqrm3b3764bvvwZSvX1216Ze90auIrmthON3/9I4F/q9//jtimZyAORxkmtkDhvMl1gg+ONGP/4MrsaAc+6sXfvAQY1Fy0jcMEy4XMrMbaKiec4xicMY+7kJvZ1NRlHq53MAmEt9N2vgdFWXMeYT1JugNrdvWdB8ZkI0RPdFJl37hgYZskIIQ7Tm/W3cUnxGuFzzdUBmkk/HDw8OVGKELyfVIBQ4TAoEMfDwAanz11Yd3nLWPkIIY8HyBvBzkOkfmXLFbL+QqgJxCSKgNotFqjZ8GDpdtqMf3Ry5HA83W/OfeGROn9bB8CP51wIk/IRy2ZstOZElUmnp8YmrFz+Paw3ybPKw7fibn6Z4v0Ll0GSLyIZB0ZIiDDa6x4mJ69T1Tzn9oiAVBP02dJA5r5wBWF232PhU3OntBj/1TuAjm7MM2gyEOhUFSNjJkB7CehTRXU5PuFyIyXiqSFm/H48kZApYGZ2rlUbcG+kJlBCleEdlr4tMeqALUnwYjL80arxEmAjV1KsAJVdKcVSMAAXJWkRMy57Qlp6CtwBf0VhOPUnwYaeo4wDMQtLPu0DBVILZwyxe60uVCzlbI7Jl1t500WiaZv0F4xewRgRvv7NFqFi/TcBnSBL5K+RDh4xVmEQWDophAP410uu8MDidGToO9B4zOvEt/DN8++Nnou7/9wPko9N8c+9crBoK3RA72N0XufnxziWO8IZdqScP3Kqg8KHi7VAZRksq9dxyeYq8RLQ5i3+m23jtAv5ZY3+msNl64xs/CwUlctRc+qe90w8hyiWF7GiYP0fp6iDwmEjD9KcbvnLPAGhCjCcy6V5uHm7vJ1SWimALMoDAgfi2UbW4HTJtxxhddoHhUqCE7G1fO7uygAILy7nj8MJ1eBTVrChRW39pp/O7NfImnrRQzlq/GqIrF0kDOd+53mz0H1aJJfqQxymFhxWlf8VXcxd44uOz7snf5pYVJL5v+ddkOcIdRw2aaelCYyYGWseASzm2i7wTfDH//3Y9/T1uhWB0NunJ/13ME9JCeX7OPbGDH82S4EkU+iij+ifjSQ9ISBb3Jk69q1rMdZUFBB71YzLCBstN1HMp8NRqs10u+76v00wVqOQrPO4MgGPYHgS/XHApW6u6HahW1KTJvKIEHBLRQQUpJnKgZDLoj6Us9tHikGL90KoVR/PJIqK3yeRPBoYTuUfjgqQM5iZj8iicZlfKF9OxS4CPY3SBmRyC4Rp7IlvPkLXyw8Z6xJMNpj+TPTX7g7Yi1w8muRt5z09dXv/2Wj6yCAYSxkkQ50u068/Qu6E60O1AGT4Rolfj3d1P4ls+XOIzYGO4PmoeiXdsOh6fEyntwzbByHR82tWC7mE5xv/P60vKTZKgvEUhxCFc9xUMi55UfvV0eFgzIRqcX9BQE8bjFlbXs+bNyGCXWofqaW/UreAOtJ56DwgOnHvaIbmoa5yvYJMIRt53BaHCFzjLVt5frVnQfX/V7k37uS5PpDecocs1z2uJc0Dqc30ThkLuih9ofh+53G+pe3PSgiey9/qIe2EuSKzA3Gbfm1NJcNFiWVbtuHNP1diiHCse7gx3lZotBukhT2cjnxJxEyzkODi1KUl7+saGjzhWjaRgO/AGmMl+gXGXaDpOPs+39YtYbTkxiKQLR9MoFnRE49HJcynP4Eadu//yHP7356cf7u7voDhdZbWeA9exTr5pBdD4gYOFBaj3lI3yHGqp9I2hxh7Ze9dQXbP0Qo+FsKIdhyNax16vZsAY0voW51wit6mwl7v2rTGSS4GfPddFUjYcj30Nv1UfeowrCDsUzY5QtSVpa3gBMD6KzRlIrgXz6l9lMb+2dXusjhKFTWnEAgbxj9gUp8hNoHr9V+Lp11fQnptTWdQCm0BoBRM0IRExx3Ss88gojXLQpAOEb7wCoE1+xpohU9CRQgga3ZDC2MXNQQkZeOSw0aA+2nMjOsngdsWMoL3CsELJebd69eYeaAKmLNY9ZlfbmxWr+nC4P1RSuT6qRh8xqWwhKkienDTTCdpepW4u6tTDls/uEPqGlwcidt2biTPVggG42G9D7qFNw6JS7bECx8o/qd1STDY3nZeDdLCNzFfgBcqJyCbnHwxKwFHnzEswNZhSgjbwJN4skejnCcE4+Ndc95v5NBw2iKg7V1V3R8/GLF7C9mrUPcO9JXHEA88/nFa5WZRLdZLhprMWKmap2HHOoMEr9eRz1OdtRF5gj+Ae306dV6appVMmZxEKuSkQq63AA5WKM1YBc6FxXz5eXRkMuO+n9ctYbHHG9xupMYJaAJ+Ft4vye2GBK/eab33LS7d2Hn5BSk+maf3QGzs+QtMT7+fkbiHAKG1i11ySnyXp2t3jRmbQ21evPRdCSjxrpQL0s8MvkrLpUfuGRNs7tlhFnXWDI1qBZ5ZauhQJsnQzHVw9smkRygs8Ws2i420MWxynLGHM9SGcMv6Ae0ovkruifFJAzfoCgJS2q0zotOUWILMWAOQNMXVZIc3o31wEopxmAQvUimEzURWgSpEy2UgRRAA1cKfGTPmrEIXepFjA/MDBgOWYhmz9KxR/z+Eh4wv6FJILFK9te+ln91Q9IEt4Q/RTnMFBU6RcsYy8vv71b3+NzuS9uchScXaGfLSbjdDf/yDA0K2yNvEl/4T2CKZz/dm6v9pGF8cjG735yzdNqtnJGTuuQm7q8lIK26yEuzl3Fsdfp/P9+RzWBp0DvQwAAIABJREFUWEgvA/+WYxO1hhj7tEeZwZJsGwntv9/r93jT+vEhuQjWl31v7bXwB+62kLM4oyXGIkz4+N7AXVYwwoPBRHa3DwW6UcKhLF/CO7FwR20uRwhrBCwlGMkQsJtCqzGyxJsCXtZTbr+y31lxGVd8w8gBxL0sVZKRAkA0VfyyXS7XG3Y40+VfjzyXQ137xa0avuAojbrIVg/hvNcfHW0GKwgBMiIc8MtqwuPRUmQg8/WLl74f/Pjme+2uiS5Jlxv+MUnLVd8D2UDkKuXTacyqWhWwwGh2O8M5T0XXuUOzqEIPGv27MxuHB+ZLDvwIdzDjNrku4z2bxeSh/OTyxdXL19//+N1sIT6vmAp8LxgNR/xDrtK02lWvYpRq0j+Vcp7+qDpHekcErBM75gB08H46EOAjiIATEX41TCK0H+D8Eg7gcMorYBoL91Pyn5UHVA3+pqBG+4AsZXLuRQq+20v85A9qyrPnvZzeuUQC+flClQmyErotJ+vGTuYt01yaoOEQhI5T35i5OEJKpeh+gnQxeWqq2M9X+yRS3F5hgSafzE0wO+N2vEjd7e5rm8GwwVxAzu4dwqH2pRSAb7Hl5ctS1vhWEm36l8NoOT++fwFpII6pUw4Kd13uCVlzvlL5HRU/rMeoJ1Q5JU8t9T73RC70HXv+NInxtK9xbWoqp7cj5fjKNMkwXu0cQn/fR9swjScvOP3e8tSZJmX8jud3sRShPrkrOlyMXnBXNGfIyzUDvxayQeALitAQEbAYABwhHNQKWHIjrxrKMrJkBRGPReI7jMHuIJh58lFT22Q9j9vGw6V8jCzGoNoEFKFKHad1WCMnnmgZj84ftZV+QYl8FUw2yTTCoEztAxxDnc7SwgFLG1oZ5lu641gheY8i51//9O8/vPl+On/Y5Yf4yTZKVvkGIt442UDEG2d+G8IuYymmNn63th4B/pl9nG3STdDt4/+11Mul4k2PsIGZh4VnGrqf/UE9IeP+s+fInuPvf/uHu/tbaDIYDElqKliq1xATCFr/BD0JpWxnPe6WlrOKlTLTgBP7VRcUUhXBgKJ5BNrDr07UrGMyfCaRAnH5C0r0IhGFexn/50G4PJk/A1SmR0ics6vEEEMAq8iufurrEB+4opS232oitJVHoe42eNhMZZhx8lY5b8dLp+ew3+0jc4RhHHJsdcPZ7YNN4uVeDXZtRVxB2MsoWIkgWF90L2sBhE/k1ca9dFu3uyG0zOKO3OJw9OBCWYmFMdqLr79WwpUcP8FzNJdDc43azeJNMLnCqTXeAXbtLmKaEAp3YR7NSBo/tlTxrxvgBF78joo+hmW+TrjdNedXH8ObJeZVMa4VNeGaG1zLpTr7Pv9aILyOuGpKd/uQzEaF53cxosDH8/T9+6iv7oouDsqY8o1gTY4vJMII2nZEwMLZLaGKNVM01JAPc5GrxJkIxuoOVqNyOSAOw7OEi5m3aL/kc9kuzhOTOzy88+ZQvKa/WCVZKVlTxWid4zA9h5OeV5wI/UVdrhcI/nx/uXlzvAlnMYat4g7qxMD6SzCSAfHSEOAVvUbQAOlEOve33/7O+eDe3H2szrnoL5PZmn8Iy2wgKm+c2HmUt2IMevhrMF7dqXp+v0gT8SPd7wVZfIanFQOQCMxgHtnTM/FSxGTrD9n+czUd0NKVsp3+CHEI5D9AzxOhPYOABRKlvjR16+7UXWsSiZCfQBv4tdM/t7hiyN2PwVawL/Zrec0e6/NiDkzRoqiglDJPBA88IOgfkaUU0WlBAdZEioTav+LmXNYV+aQHlgYKLGba9obLm9hcwxXOhou0yUYWfF/hU8qAQicJw85vPlr3apiXVmSHVpFYTArFszAQ8dOwVoUkPyQol9hGrdE3wfzjTsM0mHjLZdz1OptoN7Z39VoxIR+IFdj6g6HPCabiZC9vvnv7569f/s4b9FbTlRgWCOFUn1KkKFVCyIZJZm6r54N0jckxSizx2cj6pCBYaPxDRWn8xHe5UVXfYnmg7WwjJas1qiydB861M5fIrl85gZgMosF6E8Yvh+6w8P9EIlMVLkmZx+iFdbS8eSt3RQ9GuMmxuyOHao0ru84vJq6OEIqFO5aTtLiEN4bp3BGIgWAnzfroq0Su2nREcIJIIiQR0CGE63TKtVeddiC3IQjz66AErHz3FnrxyOpIKX4TDHIwvO72uAXhSzdaL5r7yL+4mBiuuWyb89raJONUOEow2O0b8giLEqRX6hZc+veb199gkvX23Y/0Q201SMR6AzGUD+xOr9/1hr3qBiKGua6Xe9KJ5lG8ULYiWds7MGUZtqitWO5NyidhkHfrZH1dThtgEcdbv5audJOJNwA+NdnQU4a+IuPpQgtFCHvzzqnV7ucDCqom6cYimPeqWx8jSLFQPZ06Bg0dATvwKSWaR407bTEpOqJJfKDggVclUOc97s3dJxYtyhSMWzRXcCStWcMj8CFNUa6+OlYpLkagX2TNVwU4oCvCgtxP3LnwrwHwR/dfOPtaWx4vOHRrz+9vV9yf3FCVaoFSsBU9BepFM2rBnpqo2l/KLNeIcqlttu4W10h7XR+/8sk2rAhjpaJ7j6wT3GfHPAXSkIOymAmvN6twudz202UU99bYj8q7vWK1D5YeC7VfvN70262E44TK7+g/uMsGCAYFMMb6uFgqJWwtBSWRNT0xun2b6tIF9UO256szhGLg3flpng7jzcsRF6vIhEABDj5l+GxQp7hx/hje3cSLBcbvLCo2Eqf0sJ3/M4xvMGhpy94M1jgGPSZxJvlslXa3m0k7c3yOoKVyswHsLl4SJJjMDOKB53BceLXZ4KEKOyroiGMqOgWwfCQQEhwUi7JqC28jraF4mIy5X/vXY7RuqPG4CBZQ29UiwgywuGD+KByoyvrFr85ppCsmbOIHil9eXPqe//2b74wFbX1muWQG8Xob36d0P1uH3mh3AhEG4CYcbEjiZbJ8yFVWuEHny7tJzGlYA/LKmVSRvPUDm0RNXlrgInJKtnbH7w9AQ0sO0OG5tvlsmJrCJiXHtfjDW4J+guZgcraApfsPKKYjWTWBSJUEgPJbVPf4vwB/Fjg2BmxRawt3gBN0E0wtRAhQhF+71C8YB49mFiyGkZYbij2+HPW6Foh0VafFOb2Byl1oD/khRX2saAW5UFMhSvBPw2mSrngLzdErbIaD+cdQLtEAGbt5gnMuSyn7/ro2nI5rNSfdCs0qnRtOF5v2bvZZzVf+N8F6GYu+7YQAG0EK5oHZbH59jXvSfEDJ7Wjr9O7mLvhmzR0XeFxA31yCl3BbywClXrsbiudp89ZueeY4HELhFQTGrgWycYDe5PxVRxqbyV0bF0H/Njx4TaHs3WMGJ77EoJJmNXqKwKNNYUPDrtdOuX5czLuFORdpFt1FLwZcNrzz48D8xjeCMn5vZ2ly/9NbbzS+uLoyQBpgW+8/+ygKU4YJ239cuAa55O5b5KrNGgWfy528XfRVMLzIVTJXVgaU3T60Dm7QJXOSbqZRAlnZ+8NoYDwayhcfHn82rRFXo7NlWMxndvF/8HgglxVO49akScZS65gsZBCKuF58tXhhk44MzEvSlc0anSAI8ODw49sflG24Xbo+zgrATZ384xMVf1rukA3dbtpdMbSW90tuQXZ7nG7qDL3RNsLY/DHBqK8ozLZpEwic/utXjviysmbRwjpNN588T1/cDQ2htpHedC9oHOgC265JsjXhTbouaZcnUYaUJUjRJO0Z6wCcX+oVmFO1FqSIoH3Ru1e6CTYhfikMD9absxSN0P+ZzHpOUwJTMZ/XrhimQBGpEzCKdyf8xYTqz//5Zw5mzGcLmBX5/De/+7bf99X21155wY3PHWwC1LCnI+A8PlI5XB0nq47nZ5zSYhe0CW1pIc1ver1X1xMf1jHmIrtPLG6UxgWeIKx8j+2AFwvADi2QVJzEOGHJmd3e/WWb/dOf/pmBd3tz+z//83+gYmFo+HI3CDcy1gy0jbMOw9Ww03cs6UpqBHLRVdAWVbu+PKe3ZXn7R/c7qnsE76OpF9ykcl9eU8B4h6/b8ls9eMqpsBserturCN8Bu3ecqvqwXM+TDbciFieYWKU4cw3DtDGzI3Dp3nAy0QsYJZvA74B+9rG1XPqZbVP8rDDI515761lylbgJ02x/WkMgiNJa4fiKnUNGikxm2Tq5uLzmCRM3dLS/AqI1EUMoydcRsga3BVc+sZpKmXSuxdvGs1VnglivE1nOCCZDaUU36XaEPATmNC0TNMkZvMU2/MPHDx9u34G2DeFAXL63uckm2rqO4176ju9euy8xZ0CoQzb3ur20YefxAEz9yghYIMO50ab8q2Ib0fV35ih2Zt18UpBVIALQDgiadsGmOEBMFxAxMGuJJniTg1+d1QZKAcJhbDR0u9TT4xDicKXVKnQTjABrsAJ/6MsvRYD57EKVrreKzyNSAGUCDXFcHz29UrmAfbMs8oiaHlsE9kwXM7wHYRnER33H6YQz7jZ2wQ5pC5yFzmpgMjETg/X4utBb+3zzkoHLc/r9gANHD+/f4hpQSVEN2OwEmYYMj0gGvUJwMaU5MSXIFl8+dMHiu3lv0o07OAWWcZGLeYqFzJMpriO0FCqwbfSX/77y+oO3P/6IeUm332ZbBMNpttAZhqUiPLZx9NdtuysZ9uW3aqMw6aV4Zuptu9yoygBlqwV9mbbEOnX+K8P9lTxDr7HnrLeDlb4YoKFZ+QZf3oWSSU8F1eziMh9dpGhmSlzZjtat7+/jl/3euHBJSqYoTrTWVm8aWgC/7J4RmbG96q7a1xv/2uEIcK6vUnIV1LEaejAKnWFXBFzOz3NKY5W1X/IZIR9VEng7m95dXFyzCc4OK/qtkwEfrPVzekkbb3rxepDJGeVe62rwqvXd3LHE9xORHfZa83DavviKBRqYhMetYqYgghQTDqshK2MJB9JfffUKbdYPb79ntSy9rX3E7gNP6KMBFx4hYXERMupdtMayFnDqtr1ptE6uznk2fMHWQk8PZDuDjovsrrYRmdmDwRHfFlqooI1a0DSCVxVsNQXiE3Q6uBmhwuRkddPTOLWQwaRTl8hYtWVMpqYIQDXSTRkelw6iNoolILwlmNYS15n5LbWtVPATPR5A9UCNqr92HyI6p+5yDXCdJg7qFBVYTnY9dgDop3+FKl9EkeJuzv5oiFZK7F5jNhJEIsFju+of6SCOGMEhTKGkMJrni9CJV/i1JXvI7ScuooJuVkW8oAqLRz9ps+TkEw5dQbEgMk80JevJkbKTqi6spvhqWy0X/Bt5DmvRopdyAArDfs74S5+qGQWLFL7gXfU9Kta/vrO5wQtDTQACjgPcpaj9sP/FzSXWKtyGy5FpDhWe5rKhBuyvJgmR9cL3bkLohFHPkWaVOtJ+9Ebco+esQnECJFvfuVi9B5BE1qIwSrgCqvQxDSjEa3Jrhv252HYPvac/MIQ36aq9xmXJ+jUOGzse9ld6QpUbc2x6HayMvkAhrI2r8LTe8gJnNLrEG/6g/+Gv/zXIEk0rYDBXz2b3k4sXavOqhUnWQcBf3kv0nAuHS/rQOjMXtrmQJfsnf/3nDz347Mww6rUe7j+0RldqljqzcCW7ls/AqcmtAx4c/vSHf8EkK2o+/cfE1g+CQdCXS2bkksncXbmW3ljI6F++PTbJkX38CnZ5gqg1C65TG8j1RBMHDaoE5u00pwmanQ5cQwEt/DSJDfYaTYsOy7UA0bVoSYtadEqPYodL2siV4vT3jgyld8/xCHzhTRXsio62tlr5J0L1FLB2PxnETDeblHIEbboMRc0/JlLO9TM+azuWokLZ+WoFgz7TL0kwN0cpmUm4g5xHWldq9Spdw3lv37z75tuvkjjeX6WKkVSaeli3zCArqn36X9FUaKqqavlER9MkGFugsyRfNa20Q1EpvY8tHSYdiPkuKgDrmG3cTjrbjhawullncDGZ3+J0uFCg2ZVkeCHibjyZWbg8J4kTz1yew5io12lK5n+cgD8sDN5vQryPHmk484gmCz2119Pt7Or3/cEk6Gycu7tb1FdNgHBtiUgniqtMLtLRUOAZ/O4wCSjgwkH70D/3rgBbXIl00pWzTUeIAoiRqB5EK4DmyR4QRxqCCKaFKtZFvMi1HN+/unz14mowGBTEaX31xz+9/6//PurtTAi51Hw+fxiNLtj7BgKL5ZFqvqjXiUyQXbZa0wRvah0aGwwH2z+82PztFl3HuU25cFpJtuoMLnHdQu+cW7yaHyAEeqdWyMCc5p9+/89v3725n97ZZZnDuVxm2B/2+0MUVtzfzTyvM5gJH6YCLFMURpA03i5+etxmBtzKNhU024juaW7DbDiaAqQYkYgUWmE4lsdHiEZartKElV+7yrPioAIGZxU5kFm6RLWNX7KxYOupiiqMbHig+NFXWgI4mu3cDKBtT6kgr/G34cgsduYd2IpHMewpwDAeTbxIe8zfU4GUZSlVV3lJd7yAwcnuFceB0DfTgfzGnBrCTlgML7aj0QADVo2nyrNJotWf//OveMjGMRY7ZEge0u1so7GRz227W/y40NSzZ596UhSzWE48aTtNYPTLMmiKYBvhyt3Ke6G77ga1Qs9eriMPfLly8LzNVdfcKmlCNxMrYR3WnX4wWLoRZw6rAfT5PIwXMgmidk+5tQu/o5hhyZnNNt5HU3Rv/+Ch3eLy14kXTJNDHt6lt4sO16N11/9ZO422m2Djc4vT1NtuYyUX15CV7qAslOeyjfHVVW86dT0/GAzY9a7aINaU/5ySaAjWEq1V4m7SQSdzCrlKNo3OkatQH5jrlhO2wv3B4OXVy6sXjHqYttRijlte/eGfH/72n0PLoVESR+woDfpDGZOFP+5SwS/0UXSejGtRBHIcIv3pww/soflu0Bm3Lg6ZDjY210sW98to8NXXLDG4yz53TamFC24ajtY8yTxerOmIHXjJQkH104e39A5HpMfDMf8c1+OVhqaFMx03oPQjGDpyl24x8ErVl7mj9HrnAQuwrsUwdj7FMAKf/4MTfN/bZU0cRtW8ClVpF9XZRDDZzo1oagD5SQLW4/pYZJBC7DV4g5AM7iyjzx4H1oCqjQCW2yJrXz0uUbeCLgFt0xxN1scBrJaCgSrTVDXXGSmK2WHtPabPhSnD8Zpj97LUV8EFBLQXAYv5NGAHmt3Dbme5FNsUepD/5/OQv+qY4ZqNraDn/cu//1HRTTG1+tGg43gFnA9v3o58g55WX5nHehys1IpQWIztclMk/XSwVg2Ho8VGoc5F41B5CENzbgrn1gUy2Pq00oLWGw42p9442N4V1zdZ/U0mp+2vPCV+cVuW20uimAMFbMGwUchHMGLas33fHG7a5/124HJG0ws3SdNB7hL6eVcULMC9s3GU4JsAo240WDLL8m3ucUkM24GoGsVghXHoLG436oIz5uHBcMi/Clg1coqOLr39TB4ZldkqcTarQXvrYAuJhkVWlDPkKhrJPI2CAZUVN9jgu8IdTUZXL15PxMfj4WYOhqPV17+LfvousG6KDJdzJmeuMXFxUJoKPoeBfClv0fCsou1db6NPsHDtXre3DeNle7a+aB+xFmpq40V3fffxHRdCo2EisGmgz8U35T89Xa+58D59waRllBrXL66Hw6G4J1EDQa96BizZyGwe7Qg5syS/Ns1O1/FiBqy+kRQE92LrT/yt8F9tPjhQV46PupK3lNr8JtFuBfiX5A3e0lhBo7l1BtTRyCMFLCadJsraVYKrWkb36Kn7r6m4TGefWWhqhe6YUvc8G+4WVxVrwTPALpEXBs0VU2qYnE56PnTZH2SqpYjYEkmQ0ngYpWcxZ28hdfWzKIqXy5Bx6xc+6KptUPyAJj3l2nU+joprejVChZlWqViJSSRvWcFWKrH3+IwEteCWphrWL8y4WMiGo2H8kM81qOuMgIvXhXARuoMgulsxTqS4BYKnTbzxhm52j3mQNHjdYz3EdRCX5IkqBTELHb9V/68peka7IM0kcNZLVuc1ZKmlgiK7vFHTjny4sLuBIOXgxYp7YVZLXFTjPLvneqPJa7mcdZUkUbScztgkUN/02TcjOcxBOKyvaprWpOQvF8RxXZr01qtha40vbjbJGbksT6ppJ6El3Ci8h1yVcd3ypuMEk+vxZDKaTDDAOQmEynR5/fIDn1MPH1xr32c+e+BQoVhrZi2MOa1BcDrgzzHnZc+9vYlCd4W3YS51hNrJYn2R9FrneQ/dNY1pgAuh75aiARMVkeOwCYscwL7hLtMTYlquoha9g8TSRnzQ3+3z0oQT1zu4IpmfcAlrHbZ7+4PNDhqQ73Vpv69MgQ9udrEG0RYCI/RwK3hLALIuopanxxsInjE2bFJQt01o8NZSiJ0HzM5FDiC6bTacnzMucoKlXTP9AVa05WfDhLqo+mnVqfIGhsJdyyDP0hA+OTk/yKc/6ivFiDmyat9d2JHP4vlsPpvO/z/23vRXdiRZ7Ku9WHvVOffcZW7vM2+RINmyn2x9saQP+nf9wYA/2DBgA4IByYYNGHqW30xPv56e6enuu5y9VpK1+RcZZBaLRbJYy7l9Z95j365DJjMjIyIjM4ORkZH9fqfbi8W83qKMnKCEqkF4nUo5tlqnRjywt5QYLeTEtqA47DkRyBYR+rAFFgULFQu9kwPVBH3TomgAPKhckea/mdc+r7PEShTGXXjz6bz2wkFvUGGA5+501igXTdxRPGb+MWRDwDNxeG/UbnBUT+Ci5FEGyh3Da63eu7pC5yBGAEHJvfv58trtPK/ATY43urn5QbLFL8Y3Qo1IKuu1sZdqOz1Lt4pBPvFRRi3f6FXrOcssRq/C40K0q5yQycgyNx2UOQ/vsyJO693O5cUl3wz0+pxAYtmuXn/yxnPLHscnBJ0a1j0+3PUv0LEq9cLalaBxfw4XeyOrl7Xxw2x0s3CI0twpNabFruybPP5iABmsvftpsdps8yHARUOgZtHWqFlnEcJgdCJsofkqxkimild+pEGmjEK+SN1CmA2KjxrNADnb3rqbckgwur4+1w0rmLhVL1TLE1RERVQTN+Vz3Fl1Uw1aEMWVo9xWloMVLPCGkijqwIMR1H166wI5qrdtYXrCg0pMDAB1kc4VTYeEI1oiCuF89xvEBMesIXFblzIYQIiUyCqVgCnZN7UmvN8kNbpdpNnz5uwPknrkEgGAq0jCeDR+fBjBSaC1O5zMnjUWs4xIwcl0JoeXod1GMRCEUAv5o5RE322Q+YjuAtVN+Fialjk6RwTsnnMeqsIjkolgGrH+lgvl2fVsWwYj1GB3YHRD7zTBr4XFxB1l+zSRtcQTKzg8R1kTKfYP43ZbFgh4gcP77ZRjcrdfiOgE2wxFjNarku/d/vH7Bbs7N4wrzt314FPHHbLhIPFS12wpwGJJYg5NNI2c8f4DvaIPFqfj5toXe1WRnonl4YDVN3qyKlUYCVCr1rWGM+i9fHbJBn7poadd9IgXn3/55puvo5sKsT6MHoNNhdix/jw2Fc6K62Vl0RzUvIf5L0uDBluBj7VdRVmOYtpbusNZSQ+EZpidTCa0C61DtiO84GkRhmidCmWQ2TZT8YqhnkRVOKKYpN0LkEW6US3eQbfAMEraAA0MjGnr/pt17VIZZ0hAgCG/8MEuVZ8lQie0qE4C5COWDrMGCyDCdOW75QH1kX4W1C1MexOry6afeAPHQVu5Ayhq4ZGLJuH3ROBPVBw1NgIZkQzw3LgahWIKBfpfJP/T3lJju9Mh8AlLg7fX9y9/8Vzrg5n3dw9/+O57w2PBr07Y5szdsxSh3/Id5rt+r2mWz2INstl1BDx9F1J+CJVUtCVd0ED3PU/rB22ijaS/QEZ5kkk8qALMDUMK9c1hwpo05ci3ZAUU54P1zVrfKv584rvzeQsjFue5oMNthWw4hi2HsPBjz+tUSt26M/TQsaJ9J5QaKz5JdNBKMtxtl4tl1JbcdED72jA+bGib+nPeFKejfgHDqdirUKxyokJe/FrMfsC1Dz84eeTq4vlgoJaMnEBSs1nxJOpctXL15S+v//7XBHmyyYwBbCrsdgfmS21tF4BSAX70L6YVTHGyQ7KxrDqcGXO+i8+JznI68kr2sELmMpyMGeIcx0GS93rBq0alQ6IqT2kCzPjMBcz86gVgl16qx7Nt8UR+zEVkgzcSoGEjIFvZN+arRov5nRrBnwtUo/qQpvC7VfioB7jERVFlnULeC0laHeT00ntbRiHuIkfm3URb6ugbwCoBR0OgoIyS5ooCYY5Hx38KnKO1nPEeVLESQoy6IMEYaAI+ciL/6RX+Paze40pt1wEODNpop0g2LlY3N3fPnslpIWhXv/m7r3FXB1ukEMfDXi/uCxxAkn4jFJn1wcJkzEGiHM0RWx/UvLuakNKQ3E95t6wvizNclDazpTT9s8L8eskGxgCB4/8YxE0zcDItB2DPpi42AnxKFC1+IR/meNU57VaXCFbHX9ruWt4IcHFUXdTmKG9l7OgSFoscG5k4vqI/j5KtWnm+rLmruXSd8DLtsnkkWcbbrQRJMQrWdmoIgVQLcJ8PVljmZ/0r9ieCueW44ASyKs5VRARdrKarpbsuffbFr172ewybUfHLASwlS4yp5rGOUeyzXz7+4ZtWZI8YmwrZDtpsyaZCvn0PChWRUvfPlgzyrkNMD4mJPygSgTPGhVMRI4xgyx9P8CasbdYcGSI4rQTQ4gO/7QWPeIuEB/OIGBfQRfIjocoAxRnYKUVZMxwlA8BvyvfTLVjJhYJUqznRJTMCNNgA7jhgJa56KcIABWEIP5TeDByVb7Aiz9IheWTXABcY8JsBV1+BLjn3ZjsiA5ATOZUGSsXFCi43ho4EQnKSllZRRrqtPSPP3lcAsaKvVPC7wklE2sOw2hC2F06eDOFks7+hM6DRTX/87nfVZgvdQnqaHOFSxjT997/9Fu47Tn1wOWCjFQoWnlrQIkOLalThrySYZDaAIXY4YPFNZucpZh/WAAAgAElEQVSwjKojr5SEnWFrvW48awz/MGqUNuMOdRHa068SVz4KQGxa+2Re0KQmrcZkXpcqtXa/5zSbTBI03fv3d6PH0XQ6akpsernItqSXNBeFZXU12mwy1bcn/jaLDbcwR2tj7RClToxYJaaiHT6cWM3PWTwHLSlZUKt6Tg2Hdw7KUwFTOuhf5ibsSDvFkWHylMT0ldw1bIkQVBqDkoun5X6i9FW1vpjNYoa8aF2MLPRbhhjiYRLGlk+EZbvk4/xeLjZXvcurZ1HuRQsecG9ZllKm1ev6Lz+dvf0+uqlwMhlhKqnLpkIJjbWxZqQA+WiT3VJhUZZdkStv3TvN7yqZxnXB4UBoPMmLJQJAxPJgwWKVCR2r2+0yq7JEoBqGGcFieQ94pLjO0RlaCxWVZDtodKg9oAob2opxNzyfKl6cOYN/JrVYq8v6YMbFDMWFPKPq8Mv9WRQYywoZNtJ3HUpMBKrMwC/2SlGMJT71IzRQL5dWxA3kcT2d5pSTInDImdNibugIfjRRCYnRgnih8Qbzwr6h6hAcWHILDqw4pFQ8LwfurmYT8SgQoS29/e47xOiyLQkvv/i82ZYIDqaMtBQCRg9HY4QiYv9KmBx5J9oWbvIz1DTP6zXSTegCiRKJrCZxiztgw4779Q4w735Rvyiv328vFBoUIz+CklbGr6EgoCNaN+F+ehcDZBI3f/KgUBLg23Nbo/u7KhvZjO1EmLxeV53SZOa3lxtVL1LXcbdrKsNezy43jnbjiBF86LGjixYYRfE42H8Wpdim2W/WbyesvKbSI7zakpoCM4J4lhK6YB1Yi5MKC4t3FSwVGhWUj6QVyrWah4/OThwP0JPIVWY/ICuIpXpzUljN+q7TI6pXefZ2wtDQb/VFnk65cpfuX11du7P58IbFIFvhePhQ0U2FeBSZDzD76k/oZlrm2xgz0aq2qLA34GyYb3fzJqc6zB69Yl9dAxFOLm0+BBIdi+9epn80LeYX7s+FBkM6F3Vh5qQi7lX+BT5daJ66fzBbslCb+N5WJHXOT0SYmUTTCeC+q1wmFgE9qxqCM9wA58SchyYCigueK+eVGxZI+iBks0RuALHhYyT9jLeKJehy2bq4gQb7eFB1UTgHFTw9M1VbchQaJHDloYWypyOQDAHA2700OVtCaqB/6Bv6sYEDLPmHCQqrFOt5jRZxUyr0bQSai3YjI+Tw0eN57ujdzdWVhCI0Er7kSwvzVaPON2vG4p2uEiYgZJKUmA27FrNlqV4sRGIIIzqThXfV6Y/fzWo29pvhMC0kFicAyU+w2KYQ0+pjkYhLOzYwHId10lndqdVevny4vSVypbTdUuAtCQxaK8wnS8xzadAOTQdZOOkXOcvEGLGIBy+nGnIE74YDh8L8M8vP6kmv0biX5aaA7bquJ+Og0awITEas/ijVfG/jgUVg6kJ4PlX0rXI2GPn3sDlbdqJQn/AeXbFE6EX3UetA/vVkQFkKREU0zlWvrq44d4Ejq/+f3/wnf8SGSjFyFBfl3oveqZhZHuzhlQwLV5989uZbl0OmEjYVEtwAh/c5C21/YheKwqxOTPv1cr7uEcl1Hx/2k5fOghadfzYs9J4xlDE4bOk6Bq6Ow8xEeMGTgSGXht5fY44cwOGSwdCYcKgI+PS1eboDVjZUa74iWzSQR6zUZn1w3/mDsYI8wh8ui7OSsJvt0BTlPKUsZGEFnDkIECM7poiDimRkpnqrf3ADqbQTaHHBgoyCB70CJg1/UJGcmcHf5uSeS8kBf+4NHafQAoQA/KYaW9+HuNlSpwJdKkRpt37BFvorVUIzEHYInA1L0Ks26DebrKkV3rx5N52MRa2Rhl6wVb6BLTjiNAMQp92dDB/Z6CvfMVSWUi8QqMUgoznkfjlb4POwdu0rsVbINj63UnTKEudT8jL6GQbrvQGR84d2xnYV1isWLBQsyk7GY7zQnnXEXiUqZaFAiOrH4eOyLAcbnvEC5YrjeNNpeHjOSo5XZZXnH3WskMuNammxdEY+n+/MOvhhBAOdSkmvWW1evvjhp2vMrlpiLX9xZ2ELIkFfVaJCWOZvIGUi4xlfAoFMbZX8OR4goNbpepMHZJ3PfRMRtFhutgdXzwfPLth6ggwbIous4v/NP/kXRKv49fV/XjYq1Rkm5j1rLskEWZ7BYnufnHUrFUSef/HLt9/8uiVhzIJXfH0NH+/7wUmF6z+5TYUsuQbrg/66f/T6oArrFreSH9pl4lzcrNp9BuDkHGaT3UFe8GlwdtMZR1UrUDVrydlAJ5+QA0wOct2tixS6s64Pwp56o5WYZ28i8FUrQKVJMMLtLZ+SAf7bJtDp7zAFKwXs/mQqo2I7J2kBiORSXQoiz6i6RRECsvr9RRNPuVfGKUVKFFQAEAURWvT+FPhaNhgA0zSL0yvYghBrGVVoAnPOVsadBz5YqnWHw8f4R2gsG9FxJ2OQ0Gg46B4Y8ebjR3zERSerbQZ0+NjuX3z1V3/FrPDu7Tv8CGbjiY9bRkHM0dK3Ite6si4Nasv3EqUzTCYDS4SFcq3IGr1V2nj97PKS06ZLTqkgh6XJBTC0P6RuS7nTd+m/2r3xajBNLyJNnFX+vX97c/P+Bld9ej2lqZFXD/f37OSSQY+4MEdfhjoAhngb1AsFAuDI4TkSd1RCbjE5/UNRsGxrp7OULO16Zb6s+is+CANVm8G02buocJIaMcW73WeXg2++/f5xJKEZcNriXxWXQaRsRxuWFlDum3Fst1rb67cldDfjB0pB9ogDfN/qeeMxDs/tweB5t8P8Z2QVJdJyUKhigbtcKX/W+wLvlF6zzwM3ByBqgWmZ2GMOQBwW/OzLX938/W841dheRCkzmwr78JbrT2tT4bREtDtZi634pUbzwPXBoJ9bTuS66ZQWd8O7Uv9Zdm44GfWCZ53hjNMuKgtTYAnrcEo32IzTSVhiZ7WCx8DKsJyUS07RUfAcHsaHbmKe/IlM2Vz0FwYHSh1h0GIiMHOBmFQoHrXmyOyQHxV6Z57GAKjWp5B5lP5hLihJrE7zJL46SyKVHw3HksMNQBQUv7CSXyji5mjgmQU3A1W2XGYCSXyppJg5g0pEj9pwaFNrYtHtxHK98eKz13zT00/D+X87R/hElXKJQlJsV/AAXz/4/nrhkiDrf/IdUaPj/OKTT37xyWtOZhBJM5Hu8B5YXwym48n04Y7gdSE8+bte8JleHr3FF1KOQQQ40OQFRms8TFeLcvSQQYyYpcJ86RFaHVWf7c0ETBxcXvz4w/vHu/vK2sMIJGX3X5gElkSoBzGMZWSHouHD4/W790gZKiOXwAAFzl5hhYCYe3ih7wcb5gjKy6OU4n8jvbsQcKxwp1PijuLtDu4m7uifgRHrIAEMmZb0F42z16jfjDd+0rD24urK5sVU88//6V/88OO77396x8cRXoKyJyNJwbJFuIm0TzRZWmnTi7be/AwPZswvPf/0M1CKIkw3WS49XPhY4CbWNtkUOTrOi8ELiNNHuicjmwao24+9iuZp7eY0Gv3Pvhr+/u85+MjWyKbCiW4qZLyNhEeyGT7OG7g3M/sH+dzuFerBoLQX190evreIyYDoihe7tNaOr3s6BBYKudgGTpBSdALu0/Me8gYvcj/VASsbkOzqCnPIt3fKZdcHG61uVLZTsudKppuoYkSPyGPQ0v5F7RS0ZRNrOkDB2iWGFGril4tqtAJTY2CXSqxyNxEgabrXbuanS4GKKDlKVAY5ZH4y7UqoRPM4nVio2ADRJpKmCiU5/LvJc8hdy3wWUwUzk+/F145VneItF3XKkO3qSIAwLxvtZrXSkUPfzEDP0N9nSeDZJZlBAVsCX9tkI+tkPOGri4ibbZzjI9SgwRQ4mY+9gav1pDArLUvtsnjZM7MyrSwKizqnAIaX++g2rxq315OqOMAX2xeDi2eXVM35pUw1rO4txo/W4hUWSv4LLdPpTIOvkGM6mT7K0b9Vz53bNQ7QhBCmsenDrNZbwW9KKWlbQA2xStOm/2zlyHiQuKOMrnLaIQ7LeLtjQMOWlVHiH9grXLAGzcbsITzqcYd8uvBnn77isIHffvuHuTt3+i3xDN9xKIjOkQmNGID9iBhvO30itmgAvucTwxb5ZzrRb3dDhJLAMMg/XpbplfTBPaNcpEvuMPiAhHav57947b7/wUk4qbAumwoXdu/YAWA/fFYPG3pF9g8uPdYH94UWPUFqjBIsqtXYm09XxVbk4yEn1ViwuGjpc8WCZwDEqzZn7bFs7BnVFJo6NYA7erYxr8K2epMTiESBgQ8UiUE77hFR56LX7Bq0GCu4LIaqkO2tJa+CBSXQwC91W2K44TpdN4rC3IvxQRnSIJPOBb/4tSzjBubmJ4eykH8QPvkzW8QOKIL2ER3sjBqViCH5NjpW/gp2ctK3FT5GGjSMOXYsMd2Au1wqG2weZMswnKY0Uot7u1PEBSSKqCgfjOZAGI9HQoN5yQRwfX3Lr1bBtzd6V2z9ZjlZVTkk7nFZrZXd0aJgFxsXqBs0jbaOgFt5K1Yn5y7HK0ibYX/Szuk06pijOEZk5i/azkYh26E1SABzd/hQKPRm9XqzKU6jb99iu1rj5M6Qyj53W5B1O2wkj2/G5WfCbTHURcgO5MbIT3BvS+a+IWAjZ2s3GNSWaFcmZAPOH3/enlhbgrOfU/VK8arTWfroWKnuGt1O+1/8s79+4/6Aq1YZ562dvVZGeANZsoOsrZtWVRE1KUc3poV3hhtRkba72C5QRI/JmX9iPhZ7VhDLO+w15gvBLH8zKsqnTjj/7YI6V8rFy5dvXXc+vo1uKuSkwt7gknOi1gU+4v4EYmNNOOS9yHC1rrI+mDaknCYmJpomJz0tJt6C7RrFWqvbvzx6vQxdgQvBPjoWvAoAvaDEsmjaCTmZPRdpZDJROGSMCkBUukTZN7nE27dWB23kHAHml4mbl9HMR99DCJApzhzBhzSPQObSxIPAJihY4BrVPBQcNLBqQx0HQc+Tee9AkAdIWh4YBN+VIjsy6mjIL6/0Pq34z5geQwyZi3XJLb6Zd6IzxTKlEbALLi1nZvr49tZpNjiYDGQYohEcRJCRmF+GY2UvageKSKvV4Fwd5Md8E4s9u9HgZOfAM4nik+kUrc/2QdYcr9/fkC3gA1Yqibe1siYixWsxXrZfdcf3D+z+2rLd+OsiylJgioAprPyU7n9/z5IdO+7QdvhuY9MyeiHms7vbe9ynWk5CX0ikHjq9x8f75cr55OXD/XA2DUziNadajGwBAaFWB/Y4xgWIlSea0OhTiUCPTVxWKyxuYbZj5mEXEfwR7TmnGBxb6Z9WuVa9PBoOPQSOtki5UC+ciiMRCVN0bOUoSgvfD7swlOH8fgycR8r2xKTfJsD0VBkksUNzRQaWgGi4UquVMP2azh12yW0g53p6/tlnb75xS8spc6bChBxxeB88YzDn3iM2ybkqewI4zP/ThsQXXc5XvTVB1bel5WTUrWo19hY+0f2cFt8ETqevn4unEMTgrF7wqFnIAMMjgrEXIDlVvyEn2voKfS/l2mZEPJPRnALubBwt4rnw8Qg0kFqjpRM6IqF6D2ggvfZxp2jeBMByQReguDS2BewlERB5eBKtiQiRm0kOcPrOTIQb5gKaV0+hXVEdwA9FOkpA7B6+AJBL0zFUsLrMY4yiWKnjHqnruIJ5SkkDW3sUD9G6jB5lGysPtCfKw5ra9R9/LH72KQcOojmhtYzHQcR80MOgxdIeNh2sRNMZB5HKFyjWLGLDgA92I5bnMGgFuJn8DPE8UpZFN35RgGADkIViAhSZdbco4St/VawQLJFDD1kw3Gj/Zhf+xplDtdMiWpccuyytNnO95gKbdJEg8pPxCJgyEsLksAsEWKX8Aa/FZPT2jysc5+lz1FQpMdqxDU1CNksv4n/iyU9nnV6jOpYgquiWVJAC7/hker47X2CcESMWPCijQEpQp+Mh/pwl9/Fn3/tE3CnUrhaH79+XX/8iYx4qcbhRsdDpNJrr6u39MApqU610w81TJI+OnMH4GUn/eW7NBJGIZyo+dAH6Jv/4UmKisvOC9h3T8+Qjin8M1/L99AQf2yDHWP3iq1+9+e3fdeg/IQV8lslJhdix6J7rgrvYzE2p9PxML1zWB8s+apZZHwwD4J1BLsQcgMHRn8uC4BzvA1Qr2SDUZifdGcCH7EIMULN44sgdLmZPVV/C9/KXNlLx0KHYZkBFyDghJwph9z4aoCHNfEUpG7Kj1pAzcKMX/OFi+KWP8wtWil40T9o9FHHJ0G0uS5HNrynkoWuQmB94Bc1jF5yFqzdwM497e6xUzkeQhi85M8eyCVcMXzRdGQpFFlvYYe9jZT/OR0sRPK/WMH5wYKi5zmv9OF+PxM3l+o8/oGPBagTJcyWuFZcEeV8srl6wPegLBBe60JY4PQaNCnrEcWCxHI+njNPdXpu3Mrj7Pks0WBE4+NlzA78Zmpce7c28NnGL0X+2mw0rEY6wS47ZQaUoC4+oiyzlZalRCFW3sAgd6Fm9J70IBWs88TotkLm9uWNpEqtbOJiHuff8JX56EV93Av0VOOFH0ApQAwctWplVVrNVRQ53BjaJB9awB4HI6xqLsz6u+zbuKP5YrFJEcvxDv0WIWqXC/Y9v+q9e4t6XyI5KsbpYe6Vq8a/+8qt372+//f5HhFNzqlBxX0KJTudr2PKJ4D9cIhJIhzq6vui6IepUCCeQasSYoYkLHcJaqcM85/mrmwpv//7rTqSh5KTC4UO3N4A6WSw8dso4D4rpUCZllujl4KGqX5b9g5Zt6UX2vRELDW7sxKpAtVowxTc6FSzyTA/NtlhWTHMY7eLIaTQRAbXcqBc8c6jqLjJ4mmt3ViWZrrE4+oScUF8HDup9Ikro9BqgATNyo5m84k9xmEVxuEIvyDCs8JZLK7KlEuu1iUDj4lF1uDylxOhqyyfeKE8TX50lcS8CWgtowLJYjVCr3Iyl20c7MtqUM97kxDyjRihSDJXJ/EIRoqyQ53OiddOcexooA37qK53xU18f9gLvnze//0Ox7rCuNx4SUoEYceVBm5DjravXLxFiY4iSeYkbsztQFiP4R1is8WgyGo4xcRETEps0AaVYU+PkGTIzvelaIxvoG5WShkWBM+7Cr5uIkOShS8+n/pLgkJzxYVbh0qc/IUpnR6Hem13/9Lb/7BJDGlMFLlxyJFoWpzeiJLn4kLYdJ6UUBcQkErm0lSMJ57lFivyCrIgS1hQTOaulxtv9PMD/bKAwaLdWq3d/+MPg5ctWJ+GITOyP/mqKkRN5ePXyqt/rfP3t7zkDCQ6I2JhWpgXVAhpjy0YYYi9+pkfBU2X9WAR0wva8jHXDYq1U4ZAschp7Vko3OAqBRrPZ/fTLyfffNnc2FbY4qZDlFBPf6yjYT1gIyZnWzfmDi3Wf/YPb3f/wikPVar4gEOwS1arZHfR77U5nxh4F9rYw5JlFK5qAYZZPXJ0+Dq8ooQTyw8ACQNYlAI41i/uMgEe8LRPtOO2EnK2BMF4dfGPS01TGLjSjeA7zjMOIpledpo1sl5iTRBVgqIAtdE8e+YUQLi3CY7bykAaZdC0IcLWIK/DE/PYDJfGtJMLlo/FIBRq+gFoaJnwK/oI36fzyzK8OXkewg7K7wGN1nfKoGOaEQOYoUZSCItCjbRIhGKo3UimONZnzfyKQ1MRzDoaCJLGz13MPO0Gz19J2gz6CODRbTbxbLBo2sjYpmKwe7h8xdT27GlSqMkyjiM2m03cShnQmIgeS63W7Ue00HcJrERVD1gtRsKpeaV7CR13B4r1OrClx38KCRQ/cP68Al9ZANfOvf/iRVX3iSNVqshhJfaQr5xWMZBUsqMokW0oOvxGV7MBSFKCImPD2XcSL9F0PIgjZAAWYFRmn/tzCYuXgQzaf6tViZ1V+ePvGc3tsWLVDrZZCh0dRQClGsa8UymyJ+C/+6V9+/+ObP/70XmTA9r50NE4VkWzsD3nLWHNI9tS8UKTrhkwkfBExF4RZVZalH/GKi6FsbixaYYZT/6JKzN3X7s2PThiOH4jTyYigc+akQg/cAnvGqVWdrTxH1i/LeJquOTH7IhLe79AKhDT5uJxjsRoRAYzNLM1ut99j4zMmJaC1OzIeuSwXYOv35swt8J8LkT5FzaI4l4yNZryL6g3qacNmQ+oVx4+kwWyVHl80vdMIb6IBGjIOeLbLiHUnvj4oUJIuw0nRPnXTNxTt2t6SyuVKA7iqRvQLqrCP0cL7Faxo7rPfq45M/7SQaV2VlcQmtNny3AA2TX3JU/yUPCKnZoyzwgo50JWfKFNwI5abu1PQCssyWyRqbPtqMe+jmYzmoVDplXb0NVpJoT3oMyhDsiooZIMo2MK4oKoVL+AJi3S3N5KHrs3bep2z/lr0cpYL6RX43eK/tSi6xdpifU0UdgkfGvX/WC9wrMLBnYNOiviwp0SnCykP/gbTAxoJ/0SJitglQFJQ1iwys57nEraZFcwN6HTA5Kk4jU++/Apfscf7e3/KST/EDBMGJhaCb76J+sUqIaHLsYui8f6phWxIJi2R3uMSqaBVK3N4E6tNN57fu7oywcwCYERf43OH857xdCG+Oalw9YtPX1/0ez9+/z3KOym7/FfBOZeQ5KGLLrNga+1ywbZbXKJ2i0gvOzcvmUi4+M6hPzKuhnwI+pHyql5jjqmgZW32puwid0jKxcsX7zipcHIvx3CFV3BSoSgauHSiYn1I3odI7P41WEyIzsD0NV85fqXe2gyHu9nTUuj4RgdYuPP5WI5zr1Xb7X6/27+4EIojF03ANwD/KCKjxOOYEVSnTuRWzTY0WaRE8i2ZubRBRbTSi/B2MpmYemW3NmuIpFigAJl7ErP3iMsu+NKYaeuDNLRasPiGZm00uxZD05alSukiPWrQygaS/y1qBhecUU1GW0GLbzSbRHAoQJRMfHVEojaktiXFuSEF+CCUZ9Y5tEao1YXkQwvmzK84KxX8cpGiv1AEXacQFS/LCHPekWQ/QDOo6chG1UH+zZf8Xi6NhqOLy0s7B0ARbLm5uRk+Bo7wQGCD4ctXVxLZQcTBWBxletBapVLUhAW9eFGodL3xO4/wvnwsLM1sFyDAqX/mPykuURKyx7WAKKoLtUzRewyAAB5w9pJ2dAbTrAErE4GQgYgXly9eEHOVqWw4HMG0Qq+HOBFW1J1Mlh5nHUprbF9FplvfndXFE2uF0oiXBjrWn3nIhm0W5HlC8+jWK/czgtz6mLIavUGnh1ueFEXqcJ1hrvEXWzEdCOKwenH18P6t5JGvpm3e65OZ5uN9Ng9Ch+QR1WU2A0s1ty5nc9ctlTnvNnJwE/CkI5nFo0Ng58qLC4xLqN4ijvBcNk6pHZikYoSWf4jr6Y7wQHv++edsKiwvZrSLogiTHx/u+heyqZCey2nQtvpcNJw3U6TuOYpOjZ81J5BelZoJfTSzagpisuIfe1bGhPcjCkG32+n3+hcDeJ1YVNhtrk67wkD67t0NKggiyojBxRsKGrBbahbp5OFSmKaltjIk1mUTAaibDfk4QT1QL3gSZTNSmgVru8dYUHpD17Hrg8b6HiAWyybTqUmqVOuJASmUKKgjF+QnaoqGMclhrmLVHfFoWQ0mynmq26NgkZUGOKIyCpqm32KtkgceClCBk3gE/DxFgG/rypM/Tx5LF9QhXvzGiMoDJGeeJxolg9ojQ4NJiagV2mjaTDabvcmDvWQuckzH2zfvXn/yCxF6A/P3v/vDzfUtr2Adrlnk6vU73FuQs+K9N1lftMMDH+TYKREPb7pwrmrYqir4GZfKi0hId3bO8R+gcMKKWrYMTFOrqTxAX/6oOhXexeZLUbfMOmMopRa3k2+CvgAz0mDjVdF78eLq+fOezPqSny/Uhwc5shcutTod/s3c2cP1NccVB+AMWuBMdjk8R76fiTvKcqrsixTWnIz3RwEgSu1pCKGddJ0aOlalXnQf7+burH91pX3ZGHYDkduuhBYTRkZ0/6332qBpzbqV9YSH5dzn5HBxtJevCNlmIfs6/KnnzUrECKkH4eVUck6oZ09RhA2/HC5UnMR1Q8rDTy7GRrNsePz3M+Pt8y9/9e63v25jqTY9AuB8veqmwjLx536uTYU7/YrwV0sOwORzcFbs1sL9g3t4Ka/58DSq1WI2X0yk99arnUZn0OsP9qtWCl6+vlyit/FVv9nfQDOxHAbTVD+TYQ2hMVYA2uXElTKgRb3gPddduLO0cS2776p9RQlhL7ZtZU2xvzaAe3T/IOLBpUVE2NLNbxYONyAfM2jlLBgFknGvKgFY0QWyFCxQz6NdAcgSaWuFBqrRRrWJsRtKnZewGPwTHy1d3ECI/irv9JH7PPw5Ho1wQAFCtoweWoWoHEKPgWt+oUifBJT0xBMv0VFwGx9ev0fIXv3iJX6wv/9OtSupmZ1c7OBrshbY2lpNx31oWcbWLdxWDDSmA9vH3VFNArMviceAThX55OKMnGpx7a+qXpVVRaBvUBdCtqxTm1ebuw3dm7SnuYPFYGdlKVYJb4kv//rTT6On7RpzgJxWjrDh+oCPGnst2a5N0LHdVmK6c6ez4PCcfyBxR2NMzPeIy2C3Xn1k62W9uvJnNz/92L18hmN10Wit7AGLgZHeYdid/s2jrbHbJjFIJz0ypCLPGAowD/GZIYvi5uKAg/Wcow5mhUqdI0HRe6Kd4KQqMwsjllwM46hZplLtesoEuZdXfOVWwBlNCxk+hj+MFRdf/vL+26/bETtOsKmwKycV1gprO/tm4nuOl+kUeISBQcWZrzor8VbLUxkWd2JH0ZpEOZ6gmVXrtW6j0+/3Bv29ViuFzwQ0c12GR/iAwo2OZeuF+Vw6kPJWb2ivQJRtvtNuVNUG+NEn5NjQVnQxGJeIDq9stpYJ+qXk6BR8NEU6mwNKrKHG7kVKIgJHJIIVrZOlYDE1xvRcULGXrRJAXGDGr03McwOoPNmOywF2tAgAACAASURBVAPwg5ilsqjUKSFCVTpdT4p8QDIqEDaNk5lk1KmQi6aJRIOJqh6HtVsIKsdfnCce372h4z/cPzw+PPKBgkPBsytj3k8qXlk7jTYzhW+dY3SrPGPI8mZaKi8LSzQLorTTDQxf5Fu+XJ+zMiZRqAoYxQ4UQoOF0h9hNECMKpSE4/40f4ErRqFejkwI8u1IQSoyf5Lg43H26Rdf4OPCBiFLhaiHhnsoVxt5llEgeSRaVSuy93IlB84TFgvOs5XpqHltP5lnzRFh/lnhpgFzqqylVrEZsKBVWi+H1++8TneNQwunDe18YdSb7Vpz3KjWmfzSAJLOcJHx9vRXjEYhm/DvXjCbI/aEtNZRq8q7lU+UpFI7MH+eXmMeCIglXpXZ64bsdOGfqlnao/NAtnn4Ept/8sX0h++astc3uPSkQt1UCOPtBBy+P/fffW3bX1TH09nKW1/Wtj4aE/GAaWK1Wi6m/nzKQr5RrbqDAaqVTva7pbSV7byD4cedzVihU6kDoIlh1rCaLilM8FGZpCxzOr9nV7OY/hfusSfkiAuIXus0xRRitW/hCIEwnBd/WARAMBCDkwlme0a7SaqCpQ2p7cG9thO/XLQcvyFTjvyLQgOcIwvnKAbmaWyCHC7VqCCEe6HqcLookgORI7MA3HwuM2qaWsKRdS+4QJ1S1MxqlEwYu5jupuwFfVQGvqvQsSg6aNWRmxcvnyPFapfagmcIZCdXsepMHmZeYVpdO05N9gZzoejX8OslRPK6zpmDBbwvVPU0TdAsqftnAkmsUJBFQzxsVZfwQPEtLsO1olNeTeUbPSF7mCRiUCyOV5NqqeIUZGlgXpaxc0fBQuOnTYNi/I2giwwWMO7f3d3GFGqUJRZVjddwUFCqM1SH9W/9JZixu1jgAIKDrMYdVW/3rUx/cg8h086IOCDbdXx7mOeWGD7RRL3Ro0eA2kYCdxnTm1/+Mqg9CZknHQo2VJuWtyKEBDGv8Y+lQhOgS6SUb5iFO1kuewyAm4JPfwcH1JjBFJW+bshGYXOoIJrF9ty/F8HexQUeZ97tm/r2pkKprs55NIQoeZpNhZFemo1kvVT5ctn3S0tn+8sqVorRbLEg6MJyygGCi3Wp7jg9FgRxtsqtWpkFwZhqRRhBjFOdrigfsRrtI23EW8YandbPpaZAUQlH2WX8LNqg3qT+YlFiSLRbQemE1tPOZtAba6EkkjNoq2zH1MdYkSMeVWFgtEeoKH4W+IGCBdO5ojoHNDCrwbsnGjsU/hFcyFkEEysiSGYlSgnUslAEXSeyD4AAyYnMEdlAkipswc2dTQpuorlkbtD/gpfpowPZUMUk8xNdRu3QyUqYr9/3ZbZzSxy+aJ3yUv4TIw+NRWR1jjSst1cEe0RVefX8U9ed0GDVQnkmvREXxQJq2NJdSgCIEH3+lgmOVanNfY+mlbDvZCsW7/muKheelTuCwf4LMGE+o8T0Puu/+807BzNQykUzPcynDp78zfJ8uHSMprcqrYqLYuSk6aCw4TbwhWKpCb2N8kKC/PICibWmO03FAUtIZv4POyIGgMieqgS0iNPHXmS8nCNxR8Us849XjAMwtetUb4kJwgpbfb0eFOvVxng0xrQQyxl/jIiJSq5m0LaMZz7fc73VmVeqi9mY+Swqz9ItCJMUqln4At29+dFpdzk+WaeK86GwHxLzHxcdOWndkOIyGOAgzz9xz+L/3KPo5atX7zipcPZAXBWLR3BSofHmPvOmwsO7DBoCxy1Z3GI3zDmIFn7sU38xw9WhVm90CWw16PbStWEZxIJlPqAx42DJtqoV8sY9F4Mqb9nWkmdKohQNRH5kg7bg/kS5leLHnpATtTvWIqpzjHXh/sFCo9mN4Y8Q5aE6BjDjEWgKUPnDPVVk5M9+BRDRsUCaK6pz6GN24Y/trfTdUE2ELu3nhjIh7bzYUhGQzwtzB9pmHKH78FZG1cjgzj3/HY+FQtup9VwJIAayfFsTk559H5W67P4AXeKRQgj9Ag2p2WowFkdrXM+Iu+bWltXWZeXu9zPG0sl4gkIigUT5qlitakD0MHQHhagFu/EloSGfvxgTqFQCh644UULctiaTgj+uzhmhojVk32/4W+3X+LpiyCwEUeUTCi7Z04Xr/ZrFy81EgZNYpRSxDSMrpqj5K0zXJjO/GxFC30JKmXGIZk92XoxGY8z+WqvoWPBTvDb8ZoqngubEQKiH5/B5VCF6Bc4Zop4dwAKF8wF/M3HbeUmAteIy9cizg9BmSO83nNvpdAmnKtVOr+1PV9Prx7uS07+8jElmAHnTYvGq0t/Ecx73jPzUHBYqHYR7MZsUV35E06CJRc0y45/MVN7wYTZ8rLfb7R7RUrZ2+B9X+0Gl6IPhuiG6FKcM2D6uTJJGRc75R07Zb4hBa18FkH+lmwpXhCwJxIK+NHy4P+emwr147MNz9z1zNNYKsyBoVKu6Y1Srfn7VinEvuiAI1SY+GarV5mM126N6F6uomgX/o6B2M2ek0BYL79j1wfBjG4rSImAxCKuVC9NbzdkcJ6r4Y6lBwEAeEjKQPOKVwkd0gQ96IqI6cOeGhcSKFqKAoqXQTs6ObhQ+FR/dnBYOQCCeXy5LuTJaWuuJD8mhUovJ2W8ALu1a47N6hioCfEw4fMAE7fsEQ8BZSAA9Wdeko1eNOmU0KjpAIq8q1fXokbgqs6urS3FOD69u/dIZ+LV26c31j7Uu0VZmfGjV5GwI2TaFgoHQtooSiAWFA98FIhpcvXiuUwi/DOvUWG6UnYbDSct3/rXPKYiyiBdWsP8v/JXcBKJpvlhXOe/CT++65XVxjjqFzUqDRFAOF/7ykgOgtUphSthugke08cRIGb6Uz1OplLjJjhxoyMYcuLONLFKwlPjQ+4gpyuE5HANgQjYwLMk/grAewILtej+uJ//Ff1f/6X89F071SrHnNN65Y1aZJtNx97L58N5bzsY3P7n9q+e1etJ2sB1GaiPapjwXbolwaH0WxfiHqMxnY3TNqJqFdX5JnACMnkT0Kpbn49HteETk6/ZgwGLUDuKJNZwtEYaAI/+YUEz8LPvVob1A0GGg4yRpAmgx46CDZPOQnv2CTYXf/LotHS7Ak05hToO+lE2FaJZHB26Ids0z8YAvJrmWcoCgtyqWCZGJ1epi0OlitbJK51ZltK9emiqqlSvhRK2M7apW5EQFqdcse7cAZj/o7E8DwVua4Ih5mYZYsMHi8AuKFqGChQzrh+UuGBtftOo0QDKWAZy54Bgk8As52SIUK773EYZwAZmq+aUuHjNKaU7NACbJTUKm82IZQ0jbMpaY8Qg+XKpOWdTBkAuCdwuSmVe76R9niiWNGzC0mNM5JZygnmH8cVOD4uC0O0QI5WtCBXHDamiKIh8Oi6ytyCHQU/f29h4dS6wz5sIojslr+jjBfbXTa7359VscttpMg8Wi4zqliJdrpdH6/C9+1WTzl/BN6mBVgl/6mMvWGlYT2CbmlKZ3bGDG7TSseINZxp1AY3uPmIzK0qlkNBQtLQ4EKmrNEiYuXO+X4lomkU7RF+eFjaO6rSZe2LQ1MLXF+UQdzeflOlr1ulavPTwMV8T70hFa4uMsIL3pYAmMDzEWvr1Bx/WLeIJIaL5lacVXCGNDgvO2LfAndbP43f+EgnFGlHGdvlg1bpCZ8tqv4K8tAyimyft3b5q9Qbvbjbc70mHb0t5Q5sOOOXLaVO0CaZ9Px+wijM7XiJBsNiywVCde8IRQe/hpSgzfdm/QaGl/OSP/9oMCSS6jSyXvN4TDTJBczF/kZBJLA4o7+MXnv7z/7rcc4G3zcAgya4Wdbh8dC2uDddmxGfbcRAeoPVlzvtaeK2YrPB68dalcZ6Bq4knW6XbgQyIUmKCXvmU4lFHMNR+IZqxIVK0sqF3lw77aewPPyQMEDBN7dYgoNJAsrXzz/R9NDu53xsutPIvQ7YFU3CC33kUerBLWaHUiyVu3CDwkwD2dfQ4iYQtQyoPC5yVth5Ryoxyz2e2sZ7pe8J0APgkKFlnBz5Z8ihsqBo80yLxVXYob8mjOKN5pBW06JMTot69+9hulzvYxpQ4xjfHc0G64ZIaRQIXYDCk/Ox1bCDR7vatfvIQK1i62XkQfdpDnlGWGDHYI/ubXv0UixN9PvAkkrBX/f/LPrhhmlwu3xZhqFsU4ONnCwzn0k6++QDrG45HlIR4ON9fXsvXVCBciJif7lmfRCdFCyL7h+J3WZzVvtihW1oTdql1U3PGi5ksYCEuHgF0Va53ywiWYfMFp1RbTZZmxAltRQsdKrtB2A1n1QKWaTYfTCR78o7EcOAZLsNvVyuVeEybkBgpitRrbrPAIwdsdw598n36kcUctO5P4s/MSS0iPcymXvrtph6SCh6QBiagN3nD5UJjT3Kxei6rEKMRZ6w+3/iwIlLUF8giR2ip/tgfRSrr95bLjq5q1bSINvOCxZnFuoO8N378dyYl2PQKq2SHobKjsA2Q0Bt1vGF03tD1AGpsvmdARXvQs7doxwM1Oe/768+mPbCrcDAhIO6bzpjmpkNaLOvfEim892sq3Uk95sKoVVquFxwZBp0UU0N7lRSed5wwqemnFxmrlYsNW8vnFCoimBQPTMDPfUDu9JS13SjpzEBdDRX41C9w4JC0F3p5ka5oCRtrghgSEDlicdrtneyZwopri7qy6B6Ecr4HJRWPR7ehBQr7RZEiEdbsAEoZsiskU9WQXyClOWgOP1Milj9no5kQK4tnSkjPzk2bbpU4axISA21svfDFfypExQG9P7UfJNR8LldYsOG05u8A0o+yV21SgQLdBwxN7dbrtStUbPTywOZBcsotE/oPwNfEXXG/WaNecJDsrtTw+PvJ5butCvu9u700HQ6SYNKmETVUVjFgwnCebM3qzqq19XJz9Wux9iXMn3BUni3FqyrQ4xae+flFZvTXKX7T8mligDXc9Bw9uJJS8J6eqlEzIrmjG1PtwH6vNICt6hcJFp7FayfqU8sq+zXkDJ4k7ijWMz0S+p0pr7FgEH1XNMyeMjyvb83Xlq6az+G/+1e/+9j999vanwX/5X/8fP/5hNpZzwU+/kLvLuuPdLx/bLgFtCbMkeyaMBwKBsm5/+rFzedVomoXppMpEwMJPwaT3T57GpNjo9Farjjcds42QBeFolapmmc/7SmExn9zeTB7uG90exjkKRnN+gHt4Fa4bykTOWB1UKqqh6aTGVGxesfLFGlvCokzv8hLF17t/F99UWGZTYR0jFhOzOu4kUxQZopIzHJUqdmYT2GricRpAueK0Oq1W72LA8cwyGCVddiTUl8zTGFJjqhVu7ImTdxQejqnRx1PuqYtL1aw0vcHC5/PPd2OeDPblnhtrmoI1aCuJuWXR2Lxg/yDepYl5dhOVBPovUoS88ag9dDfnoSm0F5zR1gQsxakFLnElgip/9dVX0XfkBpVzYbNbJfBxlFGp4p6LexAAV8ExvE5EgCqeWsGCyyAbIxBaGC94ZS8ykC1KneFurv4Na1bzqcyK5mLI2FSX3Fs373PfbQBt7rIKk0tUF6OvmHszZePAXm+I5xDpWyEYDFDSta2VLdro8AG2MCJNsNXMvPJ6STAFcppLtAqPEDFjn5CiWI12MSKoAacVwmxy8hZQd3eqXZm8Ia/meENXVxV0jZQOjOpR6pbXE9lyqMqMJQ1XltolnacweZjWFtXGq9r02o8NBNRe79dnI44sKS2KC5b2GGHrz2vTsV9fVRU3izwkx1LsK1Pp5knvyKxX/EW+Z0YCfGvZcoXciNImfP/YvN0TWhbiZHaEcmmPDan/vNv792/evHvzw+3w4c6p/TC8/zf/5t99/7tvpBNGsm0K7LtT3srecOGMGHmwdj5ymPicEyrLsuoh52PKuM/+AncyFjcX4x4XADaV6iYv/W5Gb9hX59O+hyJiJFw+f4kzMOvjuGNtMwaamGlkUypUsY4+fnwEc4rQMZ8WsyTofCNROxetLC2gAws5QdrgrelmQJVWiE0KzU5nOJpwAJ4UDS8f18O6bOplGhP7V5i++ZuQtHl57J0QQtWYnIeuP2FDJwuxBPx7+fLy+dWWzEQqoLFE8MDeSDnTxHQ2m4zHaGjkgljEiUNpmMhihEdgBLdwssp35FkbkUpBSSTK+DYl4kAiCw/+5G4XJUmRFk29xEoX+rYyijvJDmRr1xe/C6DgueY09liwYpUpCfzqvMPbRCpipXYflQkKhHvaGs5wAY2LG5uBx2hxSY8+cw+Uc5mvgA40fqlVf4FvEDs1Tn8M591HqttNPHtKtHsocKhjpo9x+fh6Gde3G2wDinY8B4nA2JKITQV6t91FJKvJvl0GZo8fHjg2C4agyBCWh3w0gb2kmBFEmCOK9LafIEmIiSyrbV8EoCKpmhIiYTXn+GOcq+Q0Q37v7x7Q1bihO7InCd8HbDYE7K7hcNKqzSfLWtKiHRiu53ielubrpexSDP3RJ0u3XCnVfaJBFOcLF1c40Ry9cokDXKXO7QsITgXJxhG13Cn5q/noj26jV109yKHLW1mlL2wpDfYt+baZat8cf8P4vazWJD6Nxh0tctAewzkf99tYHV/DeUpCOGPViumhWsONjsVNfIHxyZjc3FYnYxqRahCs5d/8y9ro/nHi9luykwgF4v/8H/57Z7V+Uy69+q8K0+9qK28PXTQ3BaUpw3ZBLBE/E5VJfglNtC4z3weWKlFH5itMWeRHqL3x442cq/Ocz2KhHLz3VCi5PvAFdfTC3uCi2x9MRsPH22sscJZekIHTy4UvTvCiUpb98fBmNORQhXYfL/gkj/4nJoAxc7PfEHf38ENIm0g6hVFz1RGero1BS0dFiHrx5Vc/fc0pOuymDFqCV8bh/RnGMcy3rjWAGDhnJ8XIDxPunMBWuLEv8M9pdNqtFmczt9qtKNujVZOulyYi/BJ8IbIgyBTMgiDDZLRU1j2feY6DJGflOeqdztc0ipqCINWCgQTSV96RJ+TgjG5Bsdpm78Mb0/LhUi8P9QO1qxCOTD2KNtoIVOgcbd9m3JBfpdG0cta0rlwClCqj0Sq2FCxYBqyMKjNegQoXEDQPcLhocn5jpcgWSznv4ylUZGBi6NsQyCN8jApcRtnjXiHATMd25t3cHQcusdQWUNN25kfyGgnPOe1z6tV0POn0upj8nTonckm7c8EfCTxgLk1RaVjMsV3NMX0zssw9H2Wo2Uldf0lEXLbFjYej0WjmOJiax5Mpgxx6FfNHvVJuNyT6IKRwPgentI2KuslF9EWlT6USlDh2B092tKLqeiOW1XZpOpw71VrJw8IMjMXqiu9Lr9lvzd/GNyTPJ36tVZ0PPU7JYEImojyHUTfaVe92GTObmaphgGXxhjIwOYfc2v4XtF65SsiGeZNAE3ICNJ1TdL7oEu4Ggw94B7E4mRGlA42qiE0IjUqCJoHapglAp/vixWjY9O5uW4Ulh7vdff1rf75Q7Yq3bBZ7dGr/8sWr8fW78W+Ssdf25tfyharNqpMIJaKJrq8CySTHh/JsscJ97/PPP3OHw/lsRDuRn9kTUym6iDTbwifEVPviWcusiWut5NErGYkPm8qkp8Ty2+72mJZ++ObX0Ap/eWNxETVr6bP7qoyaVa4Q9OFuOqk4jVa/jy+2zfbBbmCgrhsyq7H+QHh9rVowNlibLxN7knTgCE/mF7/8y3e//bsunnPhBWGYOCVwAzpWocBp0DkHsRBArr8gLLseTczQEbLI3C1nhbZRrZrp2whEEM2ldQCEAdC6sZMIE4xqdaiqJJPRrg6Ui5IcmVSBAHGN0scjhfhFEVyjYB11IXxaDiZsb9zZNCUf4zpQlyt4apyq/es0xMSdwSjeIlQgBlZK4EHEqT6gVVCQxy0FC9AgsRcijAYEl82p2Ch0m5h4k7OKxLI5E6kiDybZ0ACSTSC6ah5eZddy0tvkmTo/SNGFA41DQYlgH+2ksx7e3bNKyFcXE5fLAQ5mGqcOhIX/cDaXP2aIx8g0XfPB5t+9v2nUq22mV0wXh1/IIcfeFny3whnJ9fKafyuBQ9OFwFBRRa1Ybtw74vq+KB1zsXSHReQvWwI1noL76NYuOEB5RXytwfPuePjIWYkR+JJ5MVvUenXvwQw6fHQuy41unbOYCZElr3NfBgPo2cJkT2lYEMlBN4yTxzjItiAiZxLgm5heJVGwfq6QDVjSl40m39psZ5NvydCVIUKBUYUgikv0hOKz193x1fL265F7d3/59n2109LMY9dr1esXV88nr14Xrt9ZCMINigVyLU9wRAdW1CnRqIxhn3TVqFCqxKIa8o2N9EgQY3n39evH+7vx7TXSQWaKoomrCwh2TtJxAOpdPouqLGQ7rO1MgbP/CPERmUDbQDn0/MXNcIxv0qDFXGZ7hyC8XOEOLpsN8RDHGjF8OxvVai3jBS+M/OAXjYXOUXTRurk2i+yKSzDdho7wKDhM+hdf/PJBNhVu6MKkNHx86PX6uHFgx/I4Qfl8F8ICfKYYf7EYY7kS1aqLvYrAaXhhpjGNdL0UEcSPuFZR1QplhYTj5hSsubqSyJx1kJEmD1eAiXBoTqimBzH3abdC/j3vGAcsKR5+5zEnhP0oPvTxvaz1cj4O3MuD7d484M8FNBhFZlUVIFDh8+r0FTxTg4gcVWwpWNQB5TEU4S8XiZZCZe5xogCo4wrGsMp4hCqkLSND7BV0qQBFCcxmtM0ZA3XeRyNQEalCwmKtQ1tF3mfXrrOOzQMkVaaCFje2Mvs2/w1wau12s9sl0o2ZvGSvrJO51qBfJdTLp3O3dep3iUEV84/R3aLiLIJsFsOwakkAhbg9ydKIl7s53NAmMKOKigVpK9YYzCpDzancfTNuvi5zcFZMwZI4ZTiemTBT0L701q0XDse3xmGaHqR9O1JT5DYwYkVS4rdbbWjoiwlEvADPYsRazFFMMGJhiccQo0aseD9PKHrmpHWl0n79CzkoMXLBMbmMOqW3kZeFFb55ExaBvUah9vnf/Lc/fPsbzJ4SRpUwFpPZv35e/r9/+2sptaNRSbOpjcpqVMbZX9Qpc5PIOMZ89AxVpFhlIx7k3dufCuYMkNhyIeHUr3+cXbx8Zece0E6EGSXnA9zL90TkQjXkib7GVDWZLR9m065TGbSIUxd1uuJj3Ry5Y2I6sPiKBjm+v2NrMJpWzAobgf2EtyCMeZthnLkcPcv2OCVO+Uyzc3AnPgTVysXC/2L24+8bER3L92aTSUVPKqRZ7Ya1U5DGqMF8jHblSfCFxapSq7Z7nFffv7yQk8JTQKtUi5Cai30wLInyfclQoCmQScrR0yLDaYOh1xtO3Ar77MT/7GQ1S6Z8tB6D8+5UiArCKySfA575nk6mO40dJne4zCsPiKLJmzAgsQNagded4MtKH0//RcCgCxqRLmiBItW0TocchQDMzYykJhlV5aw0gAcXbc9vtOTHfA/XMoRVJcMSCCEw+lACKW67xxOyIuyTWVXQLEmiHEzF9q2qU0/QhtVm88Xr14hnfglR3wLf82GjRTCLxuR3huyQduilyyRaf9CfWHpaLSRCVfLFECGb8yMvYZcK/Lroz9hYXmrWOsX2bD7zRfPavlBavHdzMw8Vi6NyjUirleLUXYjTVxSmKZXdAlQqPLF9zQiArU/SVSneRmDvEx6wjCCYEM3hOawVslr4c8QdlRi0zOuyzxQyzQBOu1n6hA7pjOLSwmEiLlbONcvHLHFK/Nrif/j263/7r//dN//z//j1an316vW/LZTu3t7MS3NA0H9jGhV8xobKsJWtUcVYx4wnq4HhSqXTaLz47Iu7d2/9yQg04T+Y8T0vMbnFhrFsdLqO42ibblotBvTDPqquauuEm/AXhutkzsrsg7t8dJftWumiVY15FovyyQHSeuTOqjC7v5s+PBDfjgPamR0szA92A0uRWy7ERsxZoTnAiox2FLzgX75+/RNCc/1T9LiV6WSEuoxzUnUtUTqZ1I/GHLGkxZEylPsJvcioVuwNHFxesGqGcCZCJl0vfQsQTFbmZJtAtYK0o61WtkZEXNwSCOZSWBKIw/eqNdQsWdQ+zJpFfi4QBrKhN0VzMhXDT/RCNCyLRuwmmSNhJhtEAzhVWYZIuPgQQm7lRalyeXVlBOHUTSRWvaFeBg0urRjCscuIkESczBJwOjyJhpAQjhTkBhq0Smo6HNT+EpBnSdqf+9gcUeSNzGyZ32QEP1lfhGPRWo7FNFc5WkIFMFkMDYxAnQrhBROxtmFmS5p2BvCO1hCC2vu30W4bbSSzmm0oNAEJ8nka+9zezrbzJFRuLhXRsNrw7+a9vVsPC51VI+O85zXdltOjF7G5XgCgAM7Gc1ZVZhO3ddG5vn7XLBoHZwvd3JQ5jadQrS9XDoERyiwa4hmPuShBoYtSsA3DPElP1O4ojypjGaQlQEhKQuPzi6XqwpepQRZNA0+s0yEn1ZaeVpQ9NMyUuFIF3QcboWpUnrfAyZdw1b5XIiIlNsewtcW4JQ1fXM79f/+//S8vSuW/7l2UBpf/+2/+v5k7RdUBAtCgZUejitK3h/EgjVCu6sVqueotPacYzJog/OzVaw5jGd++1+VCIpPjkaxEojDKUBCaItIp/0BvYINYcs14rlWqBcswaMMB+DLyV2OfCHPlfrPadLamOFk11SN32OiBr9vocTYa1nE648id+jFL+acTz4gtbuCezILG2SCgRQml7bl59fnn37uzxeSBUcXWOB49lMuXGMEYb4SucFnKZth7g3SFqtVygtxW69VOp9luY7VCt04rjlTopRkAgl6FdsWNpmAx4fFM0/kSpV/BcuKFfAW4jz7DUaPJap6qDtSbOPPq/AiqFNc8QcdUcJm/KGOL+FETmQUiL61BkZrTA7gH/RdC2E3JuMGxT6gocDICaf+tpRHS0vhAOhd8QAsC4ukagkUrOCqHcYQJL7ENbNbTbyAVBp0OJw2CshJa6IbkgaFcZ2SWrZeWiVyybgAAIABJREFUoD3s49PdbC3cheOG9gdbqUwtx1k2BASq1bb/kYWb44YBy2k2YXKOvJssskjDt6m/cIxtmNKUF7c+nG35gFhhYiGzzKpQHICWP9nWm23bz6a2AhqFtUlEkiO3i0KpVVxOicYZqkQrVaDFJua7eFkUZ6Ppi0+fv/lJowdEyoa3HGDTLMuAC86r60J73di1dfF2i1NmXAtbFXHltTCD9j2UpSEWKX+LhXq/TwxWYrtjdS+XxIhV5sTgla08peBZk/HXGF9fty4vmb9nE0KLufxD0UajIgD3RqOCfpkjVcwFQ8SF+UFtVPdL5tA75833yi1Z72Py4GOXPIfKIeod0xEhZRG+anVRXxe6S9pv2fceb72+01PqaaVuv19qF+/+8KbK60gTwkXyaLUHVn5WzkaABX6OYQpsQ5a4dkcrxpbxfDV+9FoTf9CsNNkUYgRSiwrLI5sN5xM9cqcRHLkTyRlW9eR/GXIj64ZyYoRWqbgg0J/+xV9+9//+LfHr7IcbhMumwgvdVIjDO9zIiyfV4WfF9DHzFxO6CsuqnTaxIQYXut0yue/AQ720GoDsWq0wY51JtZJKYnjADVWz/Omjx6FKomaxQ1c+bKiUe6twUJbHo+dH6l0c5eFOh7VdVb6xYwQo4+QgjUBmaw1ZH0Q/4UIBYk0WAHCVxg3zxv8CFDK1IfLTCEBtF7U6wRnKxkEf+BwYfsHmSVWfA7Hanz3KQc0tg4hRQmmGPy1a0qg1NPKJbMxLogcxu0veZMFKEdM04Jt0CqYK6iZX4h3TEv0WMUx8m5hIG1EbCyzIP8pZrSWH1xKqnX1D0DsaTb2ZOx89iItItkKVCP2oRKKx45lkVlFCBQs4IU/KxGqfV5uVOgibqTiSJ6U6Fg3jw57m1B4fjihSQ1JbkkbGpDcp9e1LpoXp4KturzB8wNWdf3wgyDgrYbH2FT7fexi3ev9+eH1DnXygINk6+kCsaFOGLfoL7YxusVU/EGFcRpdaPP9Xkzf/kXs7TO/DMegbDMgsGgoHUK0KRTbN9QZ9PouJIIr4fT/6/XA2JF4+Ml2+LI6vp+3IfrrmoL4uvvSuZ/7DHdhyfrnTbOmHnMrKh5LWLFrhm7RqKGBkNQoW86gV54Tig3a906iPprLfvuGwkrwZSkTN0pMNi2w2LC899+HtGw5JbfX6zfQwBAl1nC8JGhneuVRpsOuG1EAjfvLX/+SP//lvW7GTCs2mQpzr6gXWnPevFKpRFSc+N1Ct6jWOAet2icbOBog0UkSCzaUZEE5RrWJWKw9/yKyltzTgaelww34VRvPQhvUqY8jcnz54JYnCAWqM1fzSs+AeBaP5D71nGC+tAJI88kckKAo4qNFqTqAQXdKNZmVcCjb4EjSlKVGs9UIB4qLp2esKCXA4qgORrk3Aq6MVRyqiCn7pSnRwQOljgMGBf2SIA6cT2Z2nUtCF5jw5d/OAoQ4c3OhbEIazXDHMWRE/1IS4W93elCfimJIJpYoA4sKgRidh8UMGSEjN6BUya+1F/MwZquyxN+48ueDKFESPnzMF4Bbf/+uv8AWKFXQc4jat3HKNQ+FsW8fypD0a5sCCIwYOHDZLbNmPxspSKATHehZaMoY/DXuVljl12jjAp+ERTY/QIABNC2Y1Ylj2CBrCosl/6S71fm82GtXW7M5HuZHhg+2EHzgmFs1DnfRm2ThEX9b/DGN2NSqYAK/EOiU+2BEb1dv/S1SGHJfVqJhUpVY2YtSqTl0O8aPF56sih650ul1wkSrYTYrmVRcXpHq7en1z31w52hlB1X9cNS+rjUK70e7KVF1H4d5SZY6RuxwkHJoFpKJFMMKYITLsHNF34T3CgEBfdltMaWwdQKVqNqpR33ZphbVuNmTJqUIfHt28Gz+YI3fabTXjhcA+3F8Exqwbsh1M3LO0pdCVX/7FX737+u9a0ZMKF/PR4323dwEhrG2wUp6GZaBaLZZTvKMW62LNqXUJx95hQRDtJK0U4qGXZthVrZihUQVYFkyDcHQ6cltVH/EkEGDl1Ph0XPjToVsg+mxTej2OaWYLPGWTCuVKg5Mcf5krq2TaGs/s+iDpaZ4b5NEylXoThGMV0fSTyQRaWKXlLSYVaAEjfo/WMWJV8Ag0LnioahaQqWI3W3aKKFiwG5U2O9/pb2FEzlogSQcvbrRe5R3U7qWQImQ7HdsPACGNzCiXcKTlpPm8yJBxa3TNW+7ofHgB0yIZjcKsqCjRdDJkG1JardSQV8x8nuvj1zW9u3Fq8X61H0/Iz80tC03myWE5Ok4RYKEiYbG2uLl48Gpic8laVFWJ1XaQzrjDmi2IFoPdm3MbsXzXl6O4+/313S2md1ZKiJxDL/swRizDFn7yalR7Vv3SXWtVo1ICsVER65/Jl/AEyBWu0JAb5XS9VJgOH+huF4M+XzAE2EDBYvR4++MP2Coal7X546JeCqbVepGTi6Z+cYZGFgXCvTbyTlPHcn2gR7O6GtQFSkw48IRxE2YkY2AOu2SPLXo3DLroYhgosCFtuvAbdeFZpBTMmfOPOZpvez7zJ3e3cuROp4t1h0kkkvPD3TKwhOuGsgrGLNMd9N3Pvhx//zuMcRYPPKAmk5FsKjTtFZnjgyyY+riYRFGtpgTlENUKXbrDQTcHqFY7vlZPp1oFeGMJjpBpEm1DBwMQz9WSrKV7E87vqbM3lo4Ao9AboPe46ZKBY57rhJz4cCw9NDSbs9cm9j0QEIUNKbQzJu4fZCQBf37pvLQ+hKhh5ThabKWJN3QinZGPWzf8eXpFlBLYJAN9OPZBj15nVEWj1f1c95CplPKrOEAmApGfzLDc+SmwPfIg0IzazNlQkVEKArmkQSX0gdSza7WKFWc6lG2GxGEuyAaowy8KZaGUCLDKdtqIOsdDv76xS8eK0G64jDGvooHZRpEqhc6g6nQM8tIEKKBbgBYHYweMVGxfZN4sXUJFN+vdznQ4rOEuvsDnST7OmEDj56lkwsn50vCFnz0aFdAQDgSEYV5sVEZSAtbl4xOZKYUfFSojreKUq0QtRJ1qYdQQK8xmik3EnBWKhTt5/37htB18sTjBr1IrEPnWdWcg1Jz30M20IKC8x0Ljorq8k0hou9DSW3w37xOmxNwNcaTiIyec0RLqjU5yotfiElcq9dp4ExaHk9nU9VCzYmYGcvHPbjZ0Hx+mw8e6OH73MnSRhLrPl0Q3wT7EP5qG1r969ZKdCP7tm1pEQWRTIRE4amwqNGJmp3BGYBMudDll6+oSDcRxWk671+0NBshQGo4i3ObSDCCAjYqL4U5TjGrlRb+W00Cdks4IYYpHe0uyJPIp5VQRcTRNj8MrVM1CaYBjh6pZMjQZF71kzANcktHAEBqOkYXoN20UFCV1GZGbRrujr2A2ksnFI0wGZzs26hyKjsVyvzhqHRKkKVpv9j0NSgbYhVQoAtn59S0crnyANTX4opLHTSCYZmqCR3qdSxABnofsp86jNCqxWhdkxsQiHw4HBjJAJA9kAOJ+YIkAccwD7CpiegsbVGd9aQFtBejlYsElmGbzNY3sEnJ9nEln9zf1asJMlsW3QCnJynLCOyXLABBfZ1kotINFXrCmUARQVrnEIapyVfbGi8rssEZjHh3f3Q9ePq9cXKzeS2TOufHEYrw4R9xRQ5D8hP8ZbVOmLv4zv0iCMos/RiUSpYqbzXCbxYnNO3hiihuNCmMi6x1V5LBKZCyGMkIAXRZKt1ixNyWy7kAZ7QGrzMNwsm6xARQ7TMkVa35xMiSALXrGRs+uEW+oth4uZ63yJnED/WBR2BQ91110wAGm4bmEUc1QsGxvtThQighUKGqdptNvN0dTdzT10URhsM0jwGlAs9mwXILrZfGCn4xqzSahszBsR3N+yHuEbTaTnSiXr179NOXIqxGSbxEYjR56sqkQtQkhNNFC+cFq5c1nKw68chxWgPvdXr+fX7VCgJlAiRoK37SiD6NaURcdCjOOGfEThwpL9+YGZjRQszjWa8yeTAc1C16pmgXaOYczKC2vfPOFuYFs72RoTL+sXktdmJUTM5JHO1MFDAlKHGwl2QqssFuQVuCi4fCCRwy4z0nOLqiMFCBz0dGoCPjcZ9cinsXZOTIqy34FZC7t8/AIVHikLtPts9ogG2zGWwRF1cyMPE/xyhAaUKrwIZNrL/f3I7OllNCXcvCNLJshZX8NBmY+yAEwmUS5cFHH9YGeAKW71TCo427VbDp8Vmrgq908iSkws44nFuNWGeNBqrdEYlkSE1BJy7o/HVzIJP+r3WhDqWpy+yHEcxjOxRNTn3eMWCJUxUXjqur+XiNvpRbdfYHP6/D2vn91OYG/LBlqyAazQrQ6/DQRYU3wf0ATyhICn65Rmb1+R2pU4pyORsi6AWsDLPthpWjWGeLE80YbSellirstrC7XpZvUA4Gi2QPRhRQ+AHmoFBnRa8NHDuyde6P5eluPYhDzxjNODo/xVqXirIIXqyHXYyCcEQmTkdb8y1Cw4GCkxKYiShKQAmaxu7DTciYzCWTJqn1sUmQ4Xyw9s2UCSOXFdPowmZQ5cqfXk9ibW8PXBvhT38EKwpQNXn/y/ttv2muMbUGFpOumQvo0vogz18dq5XHWYb3ZQLnqE/s9K+IX5Oil4ALVCmNnuN8N+ceIxSarpyZQ4dO4xkJ3sOhhBmoQNWvlyin11YYeR83sCXV51CzYufTiJ4blJNkuztJvtxegNwBsLGI1Xx1kfCEzF11VveDx0gv6xQb8Ge7oWVywi4r4pd15TIR7No1EJS863kEYl1UyIDsRgzMmMuKit54RYCIopVTFUTPEKE0sdUQiYA/VlY6oRYrQY7I6aaBRSU7NZjSqelPcD/FbCPQrebWBQjq+wCSRJ7+CpbxtNBy+uzuDwej6bSwWouCQfYENw3qAU3bWnbdmPqA8JhHiCMj31TZROwUOToBAprzseYeBm9FHQYsMRMih+HK8bAyKywofkXvWvxKQ893JaFK9GCzfvKFtgrijtFCOkA1UjaCYC8CCnvZuo1GJ9wpDjJHYzaqf+H0crlEBGYWAFUP+SXh8HHLZdFheNV+We/M2qpXBJIE4TWKcuyuurtal61DH2uQ3anKiaHASjqDvL+dLnwANF6VnL1/J6kmsGjyfl4VNcMWwlUyuRLix8k/wCNtlSmHn9GJu4okHkkNVKLymlSLdcgcBMS9vSsRf06AAZtatVyvNQXc8nbmeDONYszZclTqoCkdjvqeZNDlyxx2+m42rNYkF3+lEc8YreMpnhuiLz768++6bDiITVsTi0v3dDbPicOYPCQbsNDini82kz1+9AHszmm0GsbBQIPeWENhigrG7hsOSy6hWsiCoXcAWfNIb2M6Ee3QVKGdGzZrNxm656qzrDgTmUbMYnbyjFCxxAwi7ydZRAts06EZPmqHmSESG7Ze5nmgO9YLXw4vQeknJVfKQTLS1GnQYKNA9QHW3FjlU6BCYQV5agivWulrBLkBy7iYeUeneIlR0XHtkQ4ZMLoBrNmjhHlZ+AKKkUtrH1BzWn42seRsWyZF1N0tEneKlSIfMS7ELqeFMBr782elvtBmYIZlgCxfjFJputysWADjHP2avGAR9hMDopYlAQjnDW2viLg9WsBKrSUmkat6AGX8EfbYNt9oXL656vcHXX/9uxDHDxGW337/bQIwYEBEzma7tvLEnrTCWGDwyBE0bM2fi2Ph7glskb3Fa8qfz+lVt9VZMwpE3qbfFcqHkrPFLhtD5/L5WfrlqtsozCUldlbijMkyLoEWrIasA18aRgvwPsWHzxjUqUaQYX4xGRbZtSKmI2RcbjYpa2OSEHclxOg2nxma9cmn4OJovXaezqoy25nVbPHbDRH9bWD8rlLFmMTznQWdFS67k0Fm+SCe+h37PTtYYWHlcFjneFg+UkPO5+J8A57QkKGJkR6niP04chkS6i1Mp0VmiEkE/BD+mtNBjOKHW4JyShDebJKpDe/PkLEtG2CKHxDRNyDojHFvZ1nLguZxsyBIKAS/HN9dj4wXf7nZ3tdVNySe7cxpO9/Vn4x/+QOR6rYTvAFTREadOiqdVHYvly9e/aHfb2pD47fGlIMIdGqW0A4TNLbIkoRdcJCSYsMnK4wdWrZQWumy0uY/joqhZJT6EprPRrFxrFkz0VNQFoCVas+jm8jmWckJONj7WNAUbY6ZQi7wZSWT8YL8q3d+mH3EDqkQope1Y+2WIY0pSfegIUNlFzKgo64aop+TkEQK1SPIiaAwcKKqGoXKmhcE+J7rUivzFYH60j9Aoo2woKUpslGVRJjw5FaBx6GSlOFEq3+BvyAmVKqkrQZ3aJRO8rn/8yfPZVSRHa4l/KaPSQudZo3JhhvnsNWegolrh56BM42tYBYlSrK7jPWOZSQoXfNYb35szjhE2OTcdERyFCoiXP9uXkBm8MC9tN9Cs5Vr92S9eDgYXuH52Oi2MJaP7u6psm0pj5W4V2xUe9VSuF5cjop4GEzxIwiWLqpzMcze//KJ3/ebO7GrcqQMaydRYs6Ged5RGB166xWVwKmt5OLntXgwWswmd38NGVJR4zwTtNnFHqUouBUqlsr9MNGaaN4iZbmAyZ6NsBRqV/SrdQSU1AY0KCMZMZTQq4gs1cIBhtaKObm0R0Lr4ZdtB0d8Y9mJwbX4d1gRtWStcPovYsWJFYo9lv1hel/GRR4EoF+d31+/nvQFfCBayzQ8bovshSNemSfuEsAVPv6EhVKmiQ9Es8Ak/fhbqUWcUT5y4owjTblQqlrl0OcV/KidiQKHz0sNR44gW5tRqolbIsXSqi1swqNp6sqGIFV+i7sP99FGO3OlkLsDZ8ue9afd6c++le/PGMcoTA9bQWxWQtU7n8vmz/qAfaH4yLgibTGwcPIZVvAnFu+kLYrWK+FrRHD+XagWeIJs2Kh3BQDzVsGZxxOJkOKvWmwohUc1CDNaLjGWidFELXdcVeNr6oF1DJL5oVJiPIEqLgC8LhdzjzoWm9XRe8DpzgbPqD6odJShY5KAjcVn8uNHJT1M+2t8j2sOywxJFe9Bz+LUpsRuKZLyNZT7lkVqkFSImUlG3UvHKVdUWi1SV0p56ONxyYXX/7h0fGmhXdHWUEIlzzUcViwRVp9pw2NaF3iUkEEbIn3PwhhgI6FgSEW11d/fIWEbIBrAwhuMNYShqPlG/H0dFOUktNfxMOsGqkRj7i8SpR8Uw2hY17Gs5HCTRq4DMCcMg37t89nh7Uy8kB7ABmBGGdESS3mzo3H7rrTg7iBUb2EOYiK1cYUVBIkYs5rhio1QIBzpsVOUmnCeDaOQScmBmmLddhT5VMJKNp9V2tzAe6jJclVO3+89Gj0OWmhB+FCdRqMyNMoxfsU6pUkVzpdgjk2oL0pAvfGiNRrUuVGulaoUAs3i+1BuO1bMzihOQrMmJ1eGUshFjkWGw22KXwqHf4IkVXSvMgN8qMpw3Cnwwr2Xfe21dHD3cMRYPBjjlbExZ4tftryTbh7oYeFGnjK1KzsKTXlYpN2sS0kusjtsXA3c0gVaEMehXkSEk+l7uKUEeYR/6OGyV3lrCgIyiwTsmC3NT5gie5WxantxK0zNjuS59mW0FDnFVfNDj+1nsW1HoqmaZ6YZAAiV/NLweDQl5ydL/B95sOHj+/B37Qkd34PfgLaud/uDqWbffY/1IRqfwUqFSWSKdoUq+Gc2xThg/mKRpC83LDWcIolwmCl4I72n/0qrRPZJnqQyVvVLGODqe+FMWeBWmqlkQq4/IxOKo9UHk0Hq4s39wV3oVPmZ1bvgfjVxTzvVLI3Ihe2w2ZHzDDnkuyFE4iAQDJ0YlKkKi5ItHl12jsiJja2gCjRY+4h74UchHQMhZBCpUZ8zIDzL0HC6bR9lxKIaH5rfVHX5z/Dk2CCn02jlJJqI0BUNE+pjL2N1XuBoz/hLbmmWdGj4NxggRBccUFZ2leKWqFYPUw8OQMDoMWJz9zOegy8iN6yn7bFereqXc4qvqgCsgVoZ5UUWVWqEtJ32of4y5psJip9N+fBw93D+gdlz1g7HmAFwOz1rsr2d3fqvsQAYLbhkASqvS6H7sdOuluWpYRQ5SXE4l1H9GKfsK3izdyarTnXNAIb7MxB31vcf7u/FkzPYxlW3pF2a9b4l7jSz/5WShrUSmbRQyPNNlVCUKldNo9zqNVpMAQwzZHhG1w1WYTZmUO6VKhFkvo1Kl5N1KVh3r+br8vpixSrZVBF26WCviZ1WvEsGBo30WFxyNEp7B561nxUXcCUy1uzOOCYBiKBO3Kr5LZJmPGHJFugPrWXydgG7ioApXUAo2XBIfLFk9JOJJu9Xks5qjqKQf4svM5CbKEwYmMZNKBdJZlnQ6WctnfZRdD7TOwme1QxziZBMEDbkoYODDsbps1o9QPpYSOktU5VqDrSwqPDE1CzlCVzfjbhX0sJveTsdGGAas30Wx3W6GMz9dffrJ3dsq/Hz2CwIwEFpW2IjOBAJII3OhpBj5IoUL/RW0oc5bLVihjqpWDFNcZ8bvcHD0SV30l6FORfBwIIklVM2ai5o1IzYpeWCIVbOoje0BiQU3c03Sa6td8TLNfIUShnHD1Fiq159kL6pasBjq+ZaGb2f0ggemyhXSovqoCBJJVHneFoqyl1r36j3R/Effo2DJxLx9WZo1GTIt8dsZD3iCa0/Hrige1MLAFE3Zew9u0Twiqrn6HhkpKNkPvTiia3B1hY+fylb+4mxlw0SEHv/9d39kwOKGc6kQR9Q1ZmFG/thInQRZR8TwDegbYgOqZeAJX+X7S6+4ublmtGXIZRK6v71DwcqOFKFtdBZ5gBijV9GGpWVhvh6sV7cmOqsiX1lXGetE3xaqZpNRqVabiwHxMAlRYDJzENW92a5MhsykLPXOpy6xZzwaRBZqN76o+TgnuUALVQwblXyD0htZA241B61W0yy2gicBOEzvSzYH7q3oOCajY10Xl1frMr95xIHzP8pNHLJERWcaYBXo+v37/sUFOsp8OZ964271+Q6qCjgP+J2ikQQUFiRQtCp/joqDUkVfaDTE7Bvv19urxgEMdsNtCwMKFoTgkcYLBuEVnkNoDehPZh0eftLSn0moL+ADI1ZJBDN5iR4GL8uoWyZz8FakhfO5pdtW2s0G4F3cBrACbluzTFWeCW2LlVa84B/f/TSq1tlsSPyszIq30Tj2CUfQZ69e7ZaGCTrjIrCo0fySB+0KnQs03797J3wzhit+Ua2edK7cRS8zhYZFPTbdgiYR6TtVAqPVYWSqlldspp1wsIYjugjNhCgu2XYZWvKi+bk3w3EsbfNo1/4ARSiezYvInd0xxfogy3l0hsjLc94y3agXPJsNgRs1Tx5UjfJEBRiYuwhXSDVNdBDYAzJ/gM6j2NDJqYseYmuErtPVqV1Sga9dbvfV+VO054SSy9+tPqTjYqTWhKYMy0ZybW4zX26ypd1huPrkyy/4MBYXLPZXHXgRxAHxY+tTbb2o1YKv80wYYqNSJsiv6o5bHNmU1myb5xx3QMKyQkaGUaxrGNOogtkpR9EzZJGKJGo/G9pkrHIGZbytZSejaaQVe7nGOKNSkTwv6svSwFtyTuL2nJofD1aY/AVLTmUOz0Er4hxcn+UvHIxyX6CpGhXDohwni4tDt9nrtDiljgBp6HC5IT1tRki6FR1rs68woz4OphJHLBOvn2zyTbpePdzc+H6v4BCJstB5tlm5iKoaKowZkBNf6QBljFXBCiBaHSuA6Ph2HEssKJK5/aUHAjoG2vzGJ3LNatbjw2RLLQpz8KXIoUE5vmS0gLGmm3pDAMFfqED1EIOoqFkOWhdu33RtNMNoTqNmsdkQp0Zxz+IEl9HN+9H9fRNnNzmw6OcUGMYvLnDAU4exCLThMCQYJhPPgIHhCc0QUS7lvN9ilgrfU6hZRC4psLwwnLqVWoO4G0RwTzFfCd4MCamXtWChe6e1NeuxWp64tSgrajajXYKhPhX2kS+QW9Qsmlg3G/KdT115YFnDDYhlF0nwwcpTwceQRz/s7DDEo3aJD4DbE7X3LuZQR3zqQHB5QIeMzICKRpZQ70JMSwkrSXufmM6aICjxiohEmD4OZQubjZxGnVLjxbxc3NXPttUpqmEcMQudcpuIUCTRZDiMKooQ49ysnRdGwzHRIpg1jNEoAnfnlmmDhslPu/Ar6RIzQrPoPGvP5neV1tq/n9f7NfeHJe4KZJ94Lluc6qhDOpjiZSXeISf138qadUViny/EJKtgkxCzafBHHSnwFMaFntCT9Q72Kdxq2tgjY7O7LRW9sb01mvgB7pEtoo/i854eHyvAosgyawkq6XaB6xU416scqnO/Ki+a5ZgeII0Zsm6vSAZVkJ9BOVwB5KRR2QNIJE8WT7HbpnAD4HHBkXojc6oMDhEdhbfGgoUxkqLxsloLdqaUN8lYADOjAIYrD/PbAsNbpelIv8aaBaU7ahaKC+qXUbNEmV3MHu6mDw9Op0v8dLUhJVf/9KnMuBgzmGgRZryw0KpIGY3G+Zeznx5HqQGs2JUSv0wXpoHg/LLMNghsyUunVIsF94+XyvHM5lQ+pvzZsFRrrd1jImDJN1g4wmCXTRRH3mNfBR3EGv9MbtQgpEYTBAm6ciB7cBbAstmQYtjMuNSiuQsFxqrKwSs0711j1W4RUk4aoBMhRhNhTbZ+F82cfR9Tp2AKQsZlmc68yGM2kLO8zRhizgJfgUj/Fo/w8mJJhEhRq2XQz+19ssEkYWTevDzxDjmjBejR8ITpn8H1UIB8LqLTcJyZ+3jHt7SdROiB0pvC1j2mY8GvUmFeXRVcbPt+i02LpY23ciKehEYdD4foCsw6s+kMZDiU2jd9LzH/kYlmBGQ6LNc5TRaXYkPcWsMrrVoX9ftv2e1eXN4V64PyrLooL4QNfp2kIuqVmVNlkWfhLmt8Xp5w0WrYZ8b+urs7WBuwYEb7MrCx6rciL1527SaLfkajIsLywfMdJ1UjAAAgAElEQVTzCcieWhQdi/hYe3UsZHkxZLtinCPMChNCvLv+rOmiee9is3fwp7MwdjMuo1oxUiHsCHyngc/6gWyM1q21ipolkhFbmEPBYkTMcJ8TW0I+DSuQu30h3EBNZBUaFwu8vRr12rpeQ03h0SwwRFFHtMLNhrL5seCNHmajxzrnBfb6DOZbWT/sAyTQWFiwmbyQ/49NuxImo2Btr7LhPVdqllZjmSFo02VjVayvivhgPKKJxYX5OHZiTWdXqJu2hTBRaQpr0qNvBHNC4UR2jYTv5a9RwuSG84zUdiUPJloEv0+tZlGFur0je1EveGZh5mLeqlRIPzvkeloFixH8UIQUefl+MFSpNgMQLoSe30Tq4AJvE1/9SSSaqU7GWS5FWOmlWRmPCVb0cVKx9NzRwyOnq/KRagRRVN5DUdWFwnKjvXLHdrUijWDT/vLSMiqxugWOmM585RGhoMRilVee1zm4Pba9fqckDbCYjO7eF4ihKqqjaO+rPIG4yLbfiMWxLs66yPkKcEiM5ERDLqzGHOoVtPiqtq46lflkXmtW8Ycq+sXlY6F11fJ/cgm8VCCKwEL6uaiefEKVVv50if1wh4jDEpjj+XbTnTtaMlj1Y16BJFxR2o1mq9nstLE16hh3WAWR3GltGsmSentKWQs0VccCejg9IFeVidkOa4uZG2SjPecwnfXt9XV3MOi0N3vIU8YkKYYMyR5Ao1cxW1MJkUmauPdUYHxY5XZFGU+IIwvx+KnHhd8YlmiuqKVKxNeIsLEcJNd1yDKutACykbMIqBI6i9AefCJKUDPULNSuxW5Mh0DNYpMMm4/5qJxPxncTvOCb7X4fc0IGN57oleWt6lX4mD1RRaeB5Zt2q+8z/TWuKjNncfn84s0374uV5ezRd1z097NM8bKYgJQVVqlmpGyPV+uAhUZQSTC+CTOsEkbj7zJHLTU6BEEsor2b5ywp2ltRszomRi5riDmNVYm1n4X7iZAPSDxUndoFjcILX3bTP9oUJdl2ZpnJzcWNxZm3om5tEjbTgM2T6yYyf0TzJw+60Rz77sHv8fq61W3j5Mo9C4Xqw7SvXPDejMI+ZpFmi/3S5eHcL+ECE7kMN1BG2AAlsXLNsXM1qOEQWn86qSasKgaFxT7UwlsAL49lg2ObIRU9Zo8BS8qqjjUZDonthQOJKBX1nH0k2k4GDXa7Y6Nisjb6MXoVCt9qXMJ0T1YqCnC1f4grXWcj/Kx90XEnLhYt73F+8avu9IcJ+murV1+9kyqEJ4xSTEw+u+l3gFhouW/wgbt/HBLEnJhYy1K51mqy14+VPzZ5MZxNZhNqadZbueHly7hLfma5M9Bp4O/qWOgf1Rcl792iEq4JpiGi3ZH4o8P7W1SmQb+HVGqH1V8tyD2TgawAFrx1db54/P/Je/Nux3Ej0VMitVDbXXPPclXZ7na7572ef+b7f4U+c97Mcbfdbtvlyu3u2iXu8wuApChuopabWX7DyroisQQCQAAIBAIRKHKJfBdviSLzK4NeGc56gkIVu1X4G3xRQz3MeGp2iLJRKGMkHRIxV8icSKJoJl8CK13NfoBbAzgwky1QHlo+BKzkjFBOCXEA2OLe1mK1xoG0soe6NV7kOBOv40hJMZJhmP56Of68RKtvcHYBNabrlS/lmUL0jv2XuW/Htkam1m2jPf3vdeed8fT08Pb3L/7+l4+9vtXxkJAfof+eEAf0w6xjtH27QgErg9HmkyEG/ahvrjEle5lNAt6I1kpavKDstRWX+oCW+FKrQfvkbFayKEO3sBP6pBj1LD4RbkH8KUTqvtZcPOqCS6ejFXRzpAN5pxoMGP3wCfY8NBZ/MynrfwLzsPrXL+KYlFRWd14CBGx3VpkGYa6BsBX5JVmf50Ua/5CCkMA83T28ePOK7qZj2V7X0XanPWiTtb368Phf3139izr59oxOFxekFtob4o4Qo484sYCp4qiBlWPDkMi4YtVoGovHOxylFTaHmIs0UVcLMHrA2O72TTzM1DwQBzGrxb+tQwqtyAJQFgAYPne1bKW14RQZSx8jlm+j+i9IIZoKtmVUGlXgM9/kVzZOANtdc3Y7v76+ZD5jVmq6jeUKfx4+NwgRIM3N2HALPEHYtkXGdNh6vdVmwOidjZrWq1ejgbR2So9nZa+eVp8tFJdPzmBtofBVPzI8Fm3IWOy8Nr0vWUtOhWjRXBw2O8vZnetev7hCI1rmr5ip0ttfxjasVOfCMPqNoWexQRAW59AHSsBoD4MBAgMGJywUJ2wWbpZTd3qoiLoBEhUDDkKDYYiBzV/9+N14vvxy95iZJNN9vRM71VABBLIzZSYBNUeUJS6VqIjr9pF4X1/iJsFeTDNiDxZiLqmJNBgH0iYOhe3p3ZfZU0dfNmR4ZSA/66duKy3HetaC9gVOnxbKgFDQdD567vkKpvb9j29u//4gkDXhQRpCgHWIUMgoyrdNtKhruvMnidvzEWVRlQW65ai9MDezNNM6UbDi3JYpTJMEsgTwnITNorbA0XWmxzMcCyFaC54VCvKrrwWfoPqMDBYI0Qqgzgt/eShVpiIlreFvgsTxLxr48XBOAgFk0lUGJpVVJMGUd9Rz+HJKYx+eeQfOKKjal8jzu9SaGV/4n6LOFQqATxJOSS0Eyowq+9XHx8fz0TlbexgL8/ULqONPf/7jry7PRljCLHoAQjA3qddeo2ynQwEo04BHd9AKJ2Fv0F4Lg7XHI9QJrmIdtQ2rhzFMduEEMuSoXduyVrOZEaxbFmaTYmaJhdpu+PMt27CFRRaSPjgbAdZBA9teeGvZLRGyWqw46aHhOqFl9rzEsmjba4+2r2gVFlQzEG7A48rkCEnk9vRn+FjKagVbvGZNmNXJno0Yq4uNYtM8FkHuXdj7oeGeBeGMqbYYAl2QREDdGO/wvdX97d1gOGTa5fRrNp3SdnDgvY6JaSjmvLCFIjd9J+Of7IWDIoFZ8UJGzmbgPOTynRiuAlgzYbNYH5Ack13Yrw2OLFStdm/U8hdXb66vX754+8784bt3P334dHP3iDxMF8dN0opy01GCA+bT8CZUO0s6u353RSjg9q46vV6/977P1+Txfj2biKuB1ENZ2rOhvmzIbY75w/1XdrmjhzlIMW+nUPtFvLI9g8wKUUFe3ukb0w9LMUvx5mr8X/iWUgyxmpAVEZIvP/0QI/BUqmI6ZdYDEFRYXG4lHWnVdZnPMI5awqAn9wc7vbpmO/SSqtks+muvnmKi41ENEp0dFdZLB9Ii2mTaAbbgT8xggbHGmxfOF8BMP3tVvqKqv8woXWX+Jv1Bf/NQ9yMRTs3qR0LKZi8YEQTti6/Cjyn36eb29a++kwbA0nQbg2TRSR9kEDFV0QhWWilyA4NDFDlFQTw1fZji5+wMJqsvGxdGI2wGfEYW4/gbSLJ6MeEbJm3Mexyz+SVNExMEGDsYtL1xiEuZELPMTRTaPFyxgNMmackbbmtf//g9o5d43Y3k4YKRHP5DzQFndueO13ZXM2O92YcL83dop4MVdjmbLTF/37E7ZkduJq7mjhEIDv7Kt0ZWsEaLRZBnLe224huFJVXYK5ibPbOHh8vXr/UpFkVDvpza2Evv6ryMj92rhO3ENbpgO8OJv9I8FovQ8u/e+e96k7+suVQQl7RFJvmxjMYQLbTidqHIG4PzgdgZSVcLCk7ojOzSv4fRhuSS//0A7XgPO1JwHiAJQJYruslZ28Jm9RgJSYGiFPzmVz/ocnWNcE7wr7/77fewWT9//Hx7D4CS61xxA2z9CmQZbukabiXY/UEdYNES+QSSipdv37vXrx7vvqwmTxnVHDBXlw3RjhexcTPw15On1XTcHbLzOsNQ1e7yjkiheVBwoMpHgHmWrNAABteLQfcCbxlets8nn2dWr3f2/WjxdzFDoBNTHV42dKjDJUzHFIOM8qIE6m/pb2ynLm0lylTKVYIDoqLC6ZqoxECMVX4+uF1i9JWwWWhN6ffCZARScdZovUwzi2eEVWW5knDaKNGC57Cb7GwXktiyl6MYLI0xf3l0AYoiZQFiZaJ4qlFW8AnDaTJKPCHAalBUVgsVda2pclLr6owHxaJtI+ZndPvGzXwQpBNkSk/gihtTIxbA7nK5mM1GykQyuyvkWLK6xAMYlkSs4ohVUeFPaC4OGoZo+XS7nyaLpTljbDw9TBh7eACkDJSWyFKGL2D1wx5d1psiBkvyehg0wp5QZ22sLTz79Q0HeczADGZsxSJyLSuCcFz9sETpBBQBjVEozB+bBh1IRXq+ZXeG84c7FNZ1YOk0o6N3/UUDDevMPr7S1OM3AzwyXxhilcdZONbb/vLWSWQsgggtHOOzC/bueFzoTB+fLl5c0Tpzb9zouty695xAC0h25/9HS5HmsdqN1vyDffXri+mfpnoKlkWnvDuT8Uh3yFqnGPF0A3jYeugzE9KVPsBJDzihbLnjsN+TxgNeDrZDkb3oKgEIuhQ2i1GlyCEDGqLNhKBi95sfv/PPFtM7u72tKJ1Juf0pbUHpeYDbyaq/QBLLxFvH+nyig8kVwsXKYeroin/SNBCmgtRlQ+Vy51653OGyIRKFdNITvMdF474AaGXC+BMUdASIzlXDHDTcWzZeW3IsSMDoh40n6Nc4u+rf39z/67/9y/TztOWlVnm4fKETyajoqpzEtzGEx8WxwXZYra/0eYbcEy96YGI1I8u2trsng6XhydLii7tldBOpV5p5kuZQszfhOlkRCnuEoQbAQ0GwWawCcF3pEZoBlGr6TEzuU69qGlcdCVwKAOlcWlG0Okb3Pg+wIoTlmQpXJDgmKl9rQnRXHQO2Zl4pvWbSnclkYO1MlEmQ4qiiCTaTIPoEy/HtHRYm6XeOJpj6V4kHaMVUJdmE8V/bb968Qocaa4rdTt/F1Hbbf/X6xc3NLU0L1Q7OLbzmJFnyL5QCVI7tEIOVUXDoNNt9s+FhYgjPJ8bgYvDweWy5zMlVkzICJAMdsFbYH4rYhuZPEzx8IeIljY8O95eYo/K7yX6ynqCirB/8ZYgbHM9lQEXVMnHhqKCHDhtIRyx6bmZV0USrO0HmGzETQk253e3Yq8WSrpnMnhpj1CHwaF9bEToDMP8perJlVc+n/hohfqP51AyvGyYWHMKF2Bt8MB65zXl82UEXwsDGVTD43lg/OJ2lSFyEuxIZ5348FmfTnNTCVyUCJzX/YKJJRlvEZhlNez73z88J2on83Jm1LOP6+177ZmfaJEEkfjtmPoIDYDgxPyRA9QvXLFkBYb6+jFeIq676nQFakNslxWwWUkKpsrdcPC4WLcuCzUJUk0mcgV//M5nv9KJWuLTVh/YcKRnv7oPX6oaXv7t8/NMkfTNaVE5REPVQ2w3ZpzUX5u3trXXd9W7knDqaKNSmgQQKN5qtrlQV1sd3SubkyjGt7g9KCogWldrCNsEahkYIXrsOARcCIRBuhAcIsAS6RB1IP1J6Wa7DwmFveBC1YAse4GVa8GXLkywtPODK3zSuad7wMMxOngskadZTgdW1TrqZtuNJekiXdcLidqKtlNzpgmhIxC878x2UID2pSYHxSKwBDP3VycPT9euXivC8xXxBu+l8yK6gPxwM8+BqcDAc/PDjd9qnstXuo00+xdbD+0svXD1NwuFgiOGG5VPJYFYQde8gYXLt8mGD57RztNG9zqDjz4PR6Gw2nQVPGzoBO6YkuEGxnsA4UHUVh2x2018Ylxcy1HVBSe3ZYSfOGzgGHT9OENPi9FqO7OInrnT8vc+v6YCLsQyXespi9ryyIrvhGLNxP3lc8E/Do4Uh16Sd01E13vXIloSqqwVx+B806szWdavbwAwEhpX6Z897FlMDz2OT0D7hEDNeDXcaYDlsU20qjm3DRvjU8F8F5k0znN5PDFxB7roppXunGq1Wl5t+5vouXE197MNuEguPVSp3BFOv4xpOy2k43UZkIpLk3PnAOafDriNgxxCVD7umdJXQy4Id4UKjf//xQ//8YrSLzTrvXc6eZstwtpeFJNoq3XSbGtV+AwKqk6Lyv/2wcyAAUQfOjFCsXE6d7sK56rdHlqiypdOyneefrEvqnFS53Pk863T7Z+fYZ8uM1nTGfd+1BP1rzvM1MaTLe+1OcBe6Q6//2nJuNsd2ygUEziDwDCtbRNMz16uV1bVEslW8t9Yzh/SqfivDgdXVlN1BgSSFLAnzVpg9Mb5AKdygKUyDO1Qd3u0ddVuZmujDJaqjOS1enpVLBnjaFjzLXKa4aL4GMx4IlL9UVTe3Rk6/F7ZLWSBwviZpapzLkKkOl2qrXkmSgTlVhktIQtIvJD6gQdIQ9n5XPbJ3rsoM8aSVbNjUGquW2cp8VZG0zPzxEYNJzKGqCcPlYgmbxV+YKgiegwzk/y/OepevXugdBuC6Zq/bZ18zGD+ObW9t2i3Ga7fdmzcf1YS+VaKgy3/Yg+i0UOLi6GolO5PiYwsu5SFwWjyuL96cL5+WXEfs9FrrqQsvpTkq/L2Z/VYw4zZ9K9wWfqPbzpKGEFgTQ4IEhM3DEMLOO/8oGq3PbWc1gg9p+Jvk2uuF2uH1jXGYz5XqrU2kKofEtYoT4OrRXV2IJIrPk4fH9puWNxdjXQYOyRBRx6elm4KPeyuo3nEAK3KzvKybdsuXY+LGqmD8sm5of4W381XQREK5xcVWQK6IanrY2eRQGZ/l7UZmLtGUXTTcWBpbL5vLD45xGXhPsIPRgkSOtbXmKr4Bm4XGVbjFZnmew+TNyTz9hVX01XQyuLgcjEbQYSGGnOD/cP3jhy8fGuGUAbXz0fjCAO116zADlnKYFjizz9A2RIhNC+gX3skXmazks/3G55n7sHAve60zbg1s3+dQw87BjKa+bCj2ge/vFk9PPVzujM7yDFwGk52foKRPrDKL5c6MXyMBGu7KxOj082z0XQ9+c9MpbYTcIRYJA6iIbZ+SCmFaH32HSsTUNMDMUESQUUZgljl4rgQtTHO8pcW5YWFaqAsBk0Q1DQ6LC9NUB8JUaVKnJnSZqo/k4J3w/KFhNbQDYikR2QGza6IFn/APSAFEGEsKnjRyBxSTZKHCSQFJ4C/khcpqJlfjQ61ZRPfClizfqi7x+nhg+Yo9ifPq4ZStCmMgGxRn2P3LGP3015/agyHcz3Q85bCJS7kcBF4zR6LCGm9Gkf1wKQPS5+Y2f7tW++7jk7vyu5dsYWUtwglLswPr4nEISGNHDa6aHeSUzwWu+5qX1+dIuzC5bi/mnZxNLCrLZg6BK9Y7mxZrqN/ptr2hhw80fy228V22/A2ntTZlSd1+mJXubu9/+0+/4eqgphCIBL6bP4vF8vbLQ0IwXPFXCsdRfr+HNSmv76CtX92SMuISdme78MbA7e+YErcyaCHWVlDykS5Cmq4e6bZDdNZaTleu1nd7hkfXJBD/QV42FRdyDiw46c+MeyRJxeQNfdw3fCsMFiu/WmRXvErkmsWde77pYF8jF6MCpCOgUBEdZBJIH/VCZ+6PUna5WDLb54b3OehxNVCs4HKWu8YzZTKmoE3Px8waVRT7IYvH+8VkDJs1VMYSM0Xwybi7Hl09zqb5qHyIJhthj2pWPg9ChQAn0XBPksjIQquM1YfrskmoenGCxs3Ce1i6F73WhTiA3+IXgUYzcE+dKnNuiGxPXO5MxriFGJwd5XJHac4JBsnLNl7f8itaq+WYmUV9IcxTxBtxnTn07ZDl3Gugh+G3r5Rjq6Vncc9556PokFGjfrM0iYEGb3GIgQZt2orC6Sxm7EIs5FaTKhAD7onaa2HKdCCoJus4wyGZkNNpeBfq4tKU2GgU3axTcTiZUvQn8JFg8Q6bpbXg0VwSVzY8hRn+IQKZKWjBMlRpWRLwJAlIfEwrAzAB9bVeDiwxgyo0DAVonEshEpEdXPvVks2VO58yYEZd86J3ttldpcBwPRu/9Mif7py/hzOrZbW9YCZsFV2JGcW1jQzIGrYQvXIHHoxEnsOTdKIep2rlYrvCesPlPlS+MAoqhbBsIaPqiTEqVk2kCIwyThJXj3Ybo+wdDjJFMMMD+9Xo+MFDQMnynXo6ZnN2f/dfvv+73/+OKsjKrDitDx8+/dcf/wz9IKXjiFO0zeR8cNOcVMHsYr1BFrq4sVNw49fTEhHdSvPozuUlLkR6MunxJLDOC7WQ6wH9xnqJaYCuFwjX63O/s4nnIStdRB1oxWk2aBbH7xuaxoqW36q433xx/frm7q6atm3Lm7irl3bP7lQnrIVaE54U4ULP4Ayy5AFLsI46Lk5DuzTNXiO4a2G7Nw5sYEHec3w2CjoE6sK+PvM2owUKTLFZYm8KGqQDMfixuL+D4RheXnF8lm4fDYTcKWJJiip4oTEpInBFHlAQXTsILoqBk0kuszFzspwPyhlkJpZPL2zeL/2n5fLMal0NGHUZHFg1lWdDYbNosmA9HSPD6/QH2IJPJOV5sBUh+nwQ7mqLiioyfK0o8AmHbnCO5WIx4bq6aQ64AaMmGmKauH+c0lx+OMLFhscR/+AC9QuzjoFlXQNdX0WTBEQrAYFQlO8VazkX9dimOTYG3BulFrASNxLdGuIrmWCjm917cEtUAQ6MemkGrowb2+B93Bt6IzywdKhnnUAYnkGGJqjgeDKJj/9kCFGZBE7SATqElgWZEzZobkJMSn62F6bg1BoOQZet3Jk5VI+WPFoFc1g+0REhZVdFEpCI9B/vn968e9VqtMfOhCuD1qiNgU7fcdsXwk5h8cludD3b22nVkN4FLD45grZ3dq5uB3LWwA5uLrZ1wiErGM43XHwiO3O73e/0z3rrJxvVbXIh87L63Wmw6hQdCcFjrcePf/7PP/3T738HUcEU/scf/nh7cyfTDS3I5TqEYD5m6LdGUIDt7pHJlows6V5L6n76l6jX5edgjiqPVbAKMWy2nM3hEqSmSt4+fNuZfnCszsHyLGkSnjLKzKNRHRJVXSWqgAlz4C1868Lyn0qZHRb5FceHTy2313oZmpwYgmv+qTl2QAYl96aPIvn19L+f0nhuwyRhpkFYOkVw0hUGLfUg0F2HGJqLghREZnD4FeU0eo3YKilF2JUgYrMYG7Pbm3mnc3Z5jUn0FETseJW2RjoZ77rb4De63Hg49GHWQlKBQnoGAPdUmNFk3ytyjNIGlusIa3+8Xp51Tdisbk5dGok3/4S5xKZD03CX84fFHHHf8Pw8X2gGB/2ZNCA8HyH6b2HKbxUIuXgrL1yaomSFMeb0wT1WyhBHrg3/yl5xH7Nl9kZt97YxMLcJqQbqaihtxKtiw58ptWzVifmwPGByxMrrykBDES9GmojBajbpqjwQQugXmCrdO3TKwas59dJ5GTiAZX+ialpY5gkCKYsitpaHE0CVC8tf73yQRqexaHTN1YL/admpkzTI0UBKJh2GQGo+YnJ6VnI5uhYbAGjpOpwg4h6HDVhn7q1wEYPUqWf1z73+eL1eoZDebnYXRFQ+1FfO7dSwMZF95Q4wAidsD02sw2N/z18FwZMzeNlbxDrM2F5wZk7FPTzwxAX1n//wn2dXV3/9858Z2Wfol4rbnkhVMY8d0nk20uvQuXh3+XD3ZJXccYRuIVQ9ZeSB7AhJZRMmIOp1WajLJ8EdIPPR9sw+v768/9Qwm22cIpIAmZb41Wuymdl7ytbw0+tnmnTzpReFyChIVV3qGlW9KHUmbHIzefnbV7cPNzC+mSj9iYEea9FDS4+qPjT9Ch6rMHsmEBsNTK7GtGX9tv2ozDRkEqQ+pRIwBNCyBIoqUgPuFpXBVBpaP2zMRRgfBaZqrrisIe6U5ezcWydNFLNZ6vjMdSY3n2fd7gg2qx+xOD6XHGs+QmcytaLmVTNHUTLZDXW62eMqrI9CuQzkYpZ2GxBNNbGDib0atg3YrH7OjZWutVqRqbi43HnC11NXLhsi6k4aZxtq9kufDP4SGawgOOtw60X1xzbWDKgODlfNxuxpbl213YUfTsxBe4dJ9G0Y6S9h9IXfFUdl3B8smYpLliYNiLM/aFs/ZbtukugDQlRksZZOByV8D9SeLOtJYATuuJ+EzaI43lOD6Ti4Rbm3h3FRil9UGC2+mWXU4vK/I0eVafKIipmFiVDbgIhsD6EMslaOikzZz/QJizL+8qVzMXJXBtcGjcbT65dv6dxHf8XSfsYEGbT9mBMqw4EFRaLYJ7l+B1sM+cfFMbuxvvVQNMa6AfJz4wVmO+NBzynhA3NQ1RBgBNrzye1sPMQFHf92PewsxX487JPnjV6cuZ/xpHyCJ70wgH1hv8tcdkIey2EtbGFS3lm62vUPOOC2p3tmBguRz52gVnuBYKpPuJC9MqrE4To0Wk0fNpxz4ZIHNUEdU8ZjFVFYMayw62Nxo292bv9wv9PFISDgruLaiSn/BgbgEcAaDSzE98yuVB1vAT6/G9LNFNzt9S5fvFqvFpO7GwSrSayybiDSLBSVQscef/k47nbO3r7oNSzkPUmyOi+KEayTsDiNZMefc9zISSJsNPCOso5XWrkkbfLSnLvhfLzut2Cz2sOcvyyUbTgqpUmRZvE/FX/68mlq9d+8f5+AKHthcOnxxcpSluabhQsXLuSguJ+C9nKbbvfasO/9QWOodeGPQ1XYrGar7c/HhXCqR0Ry9kd7okBXCCERcWH/Ci6KSUab0aHxjxFWFZaVCUzYLMJPy8ClC6paXdLpar7TQJo6a6avTpbmYUkJ5Dw7ddgpe3W5v4RYWlImxRaMPWrGPvYFZY8rqyjNUDC0auJcPSRqAjlJMu6U2Kvpy+8uw3nbZV/qrIeDUafZm/tKTzA8f3UZWSgoK05vfRgbUAXb1XyyyCOhOHlQvCkDaeUbXQM/yvqhkfO58iE1k0lG6J/Tpla4HC9f/O7Nlw/zsq3bji5MFam7PI9VLuSUZrHYuHprb9jvmax8LbmYIxjZrf51c8LC1t06bMphUhKwo84luXSwUL3I/A4jfqSVd3+6T5kQqyxLFM5EjvUiNO7hl3ekzQVBPYAAACAASURBVEaTHrskLaxWoREkXEMtGtM8FqIc9h4B8qpriDo08GU5xdwsbsMbEHOFMg2XCGmc0dk51+im46fZwx2ahzFmTJuMEcT8SprluLNPtxMcxXLRJE6x61faQDFYtepSCI2Og91hTsvE+q4oeMiCKtPaXvCbS47LJo41c2CzRr0tAxwKYbTnxbOhI77wjE64vLu5efn6dQaBzKe0u5pgf4ESrEhGr9BTbJb0S/qBSNz75sio620mnbfwnbagw6CfwliIoiRcIpBg6VjQRjBSmFIraVEhGDBs8HWtHgo/tD8HU6z+SV8U5j1JoGazWGcZPvQ4JZ4EbALkxAwWiLLgJdD3eqGGDD/+JrmobTVrSeLDJtykiF/OC/TEo6vPX+pOf/PCdaF2yPFXKSmfsgpQumyPvkpZCJCwlBC6D3ezwdu254gSIoKroClSH26xZeulkdpQh0zKpOEsBhooHMCy5RdjDJsx4yzgEczQVuxCtoATfINdyKljm78hNUAZjLPOwvZM1UOVqzs+RoEaHdAHZALMQVnjguNf0FvP1tawg2AhbMu8I+w+J0QufviqTJTFAJ7rV4lxDmibRriGTyme5Qtxhcd6agaax9JHHdtdVJhJAmm6ntfb5x4oddL56D8U38POwLj7y+yqO+oY2ABBlQsCRvaWZU3SGKB6hLTBFytZrfPLq9H5xeTxYf50D78fJ9PK4J50Iw4DHG6IOnBlcWzVLzwmXEdqYq5KXBZHG6IxxhSXTgCtooMFrctRUWyjIZ2gzjt+Oz/N3M7cvey3zvvSYulcajgErCvjyeTVcMeejYz6fBCC1/u3NKhv+w5Cyj5DjIWaITLjvY24KT9zxjkO+IUx5XpF4QxWDY3Wi/mrBsb5CxOTRl8zRO92YOENab2aYicFEzmRkWct79Q8UCGEUwVqpoXimOVOy2bllrGjUa45v0MZmp9Ipi0yUrea2TWaiBOfz4b70S1RBUBXPz3dMH4Kq6/ODjagikl1E/+P8cZpp2HhMKfhjGcvXl1Y7VFLGVhvB4MzjBWxgIpaRqSlJJo/HJYrxp2XbhcL8LJbhb9i6icW7pN9f77mLAn+Q9BL3VLGo1/rWjzelN0ZzgOJQtrNsGeGEzjdgoLSuVD8klMdu2EvbFRnYIxL2AFqsAEF2ZckS8Pe/S5QAHsKYOvpGmlfuMRkvj+ejq9fXYOwPXP7511/DL+1tVLuxiyTYlP1TEThZ5SaRpJGO0lLFZazHchOUfNYH8xV2PGt1ckshtNHqkqKOugsqZH0GYb8+euI7NDCgWaEDmOBhS62ibWNY5wEd4oeHTZ92fqeWYXn8sXL0cXl5OF+OXkEQJxL2Cz2rXJP1MA9p9eqwWNxcQ93BRiGi4Hs/UtlYaBayr52OjNjHCkT3cpam6CYTlD/3Qm1TQfvomembToAnLlhJX7bQg5SSwHGBAlCpNFsVmnibxFBG+VP/WTaiEbEs4wKw+x4K654Fz1xixXFse+N8AFD5JbFaWK1O25kQ7Gk6TLNYmtiNQmbHXzmkJeBonXSvxqbBY+lFbuhzUK09wqMx/BemUoS0xbS3yWPGvUb7WBSyuiC6suzlEDaBNMW2vLEJuiX+papPmjCTlXL50ijKexUdaocEacqpBgONn1wQSM6sgoJMZi+RvEc3d7G6C2ryRCdCXLy0jI709WTZQ7+9uFvlxcXl2dX0BUbdAtNeEVgy8UKJ8i4MmSNZ2RizYEJlKjCgk0ORtIxLtskVqtSKi0EQiC83Ivvrz7/3zfdnBJJJgsSLPPMYKOwmi6aMCirRKoU4UiV+Q+6l8qf/kEOIMKMmoBJJwOwiZAEjhX5R4ptWjaauO5pmMYcM+LYGltidYzz29YoXHlOzyRQOOCoVjXLi5NpoU38VfWri0iaSo+IYyaNqsJycZrHGg7Mx7kLe5WLrx8gNeY/1TH0j65Qtpvgx6WCGIHn4mtcmhCKT0fE30VliuybrlP8WRLPjvz69Zuzq+vx/e16Nk44U4rAgpScqhttHIQi+apml+kCrCMkYA97geDx7pzJK1tKOJpyGw2Z9Ds/WdbFpsNqed5tXQ7aLO0AFymgMK7iCqkMQkKQiYY7zZ3tnrLMXydcjsiLOBVFSvSR+j0lygBk5tVnuPkqJuSUjyJkY8CdGxpZyxpRjkRJq9fbKOMzyDDgj2TTXoxDs4M0S0ZEbMjq4POxQiQLA6FJHs1mMcXxXpisZuCxwyZdjBav6RBaBJaCvzw6RONKY6Wz/G/8nuGoqDgtwLN3leMGjDJWTbP1YMtUUy/lEanYfiunfrK/kkWcS+vrps9llO3+hxx6gx43oXjhWis858pdroynYAWP4nBjD1ujaSwgp/6gP58tHu6fsF2KTBd9l/rCFFmlxvr4cRuPdBmF705D1HC5ArWzAz38gRhO4OOe2bSa4YoiRVDBP/x5GRyTcFCC3qjiWZoc02T6t7B0Fcjqawza3pRmSbFBufRKm6dqq5PkwE4LtmfACF0/1pW//vmnURcToxHwZMnhhbDVZMwVMDrEdqaujyHYVji0ncdmX8nzE5gVL3u2eCkkPeF+tZkEAQtaaOdcCG1liLcUw01E0rlUXjDe0QacBiK+4qCCrlaSCUnPqop4J5lIN8DjN2kQOe0DvlzKiuy8xbHQ28u37+2r6/ubj/iW0eswkdAJ1Czd3ewy9ET9a2svEuc/0S9baVbLDLDERoNSdj7ZrIRF+Eex6eBh0wFb8Fx+pPSWGK7bmkwyyOhPPUXrvyC0o8MKQTxPYJGMflOSHg4QyQnHBaDgdMo85GzKzr3BzSqOViKQXhWSLsSamCHNK1IzbqwO2wUu2Uww/2+lpFlg9I/CZsER7Sa4XOsVB8BPQL5JU0q/HM39FZeUCqWU1Nezv1aQL1HPwVBSQdm1UMt48ol/n62yh7YoikfokeIDSxZmZmtPnPqF6FMJwGKspfuMlmN7to2rGjFnx07aalgOxqvmdmeA/lmsjp6qLmMPUUowXXA67LpOr9dpuju5nlR+Me8o80Y6aOc7bJA9tdujdmNSkVEqzj01ZAmY5fTWYbPX8GGm2KB1u6L7gqKMjAvVIn7QuVQma+bTmusay/Orf37x93//UKisDfPn20Frc5C0Y3UAid5odHF1oeuOiW3H8b58/NIL/cLzU1ycTB8eLl+9cm2ZGKlox2rjNhGx487WK0hQTBEFCQuD1Lg45VpSWAqBWqQEh4za3vs6Ou8JRyWZ+ZelltZ5e23bLeyD5h5kPI1+sLizf/M/3z3N52SPJhxYJyRYaci5vJCWqGmqI8dcpATQv1dv3ravww//62dT2KnoETYrVCfmzZawWRiDr17J44x7/VIzVty8BMu1xUYDYqz4sGgvqDsSw5Qu3eDVqCWnJCI/s5iiq/OwZpGSNIncYscoqgZ3uliwijc+VUAV8jIL5QmvKltJHDdvA/cQhUt2awnhd0rEV0wiuqnbuIAuOUOEEkU1K3SRZjW+nTQLsmGXUpOfYcxSHf7SqGQ5kMHSzERCr9JUInY+3AhYSRdXBes6VKU4dVw03ymw+Rao2QF7IUWrSqF75SlJnEypJfF7BxsoGHVgkFTGZhhw+ubAUVVLjqNSqFerNxicn2MQHZt46bIN6NNorwN7OOqvxsX2V1hMhqPebBriv3k1n18Ms0cPaYCnel8/rodvhrPHCQKGDUyhwmgSljlFzStiwvRi+ObFO+w1GEN2HbLWSicqKZ2aw6Mutfp9Vp3ldBq66+oVlNxcEbLnq9aw1cBDxvZDew6/64+xCqEaLCKbSroBKfhX8AU92Wm1WlfXF7Cs88m06duJHCtdjhH4s/Gk9YLFUnwc+Tbq/JVlpDPL+16JN5ml/fh/+4nreCDMbWDFX37Df/tv737+Xz+LcKhpJjrvuSIVCWgYycJSDBIBqH/x7uLxr48MHG4aplNhrh0drHZXDDhxFaOxpIr0Doe0nKPlykzlJE6EmuQ2DU7M0WCHTeqG/e62GSSrjeu65dUPr8xl5+nmc9poFpM3TByMddgwEQ/AqzHEUiUc+6rEtyZLaQYQpugJEbuoe22RMlDKP1ndqYjjyimPlTqHKsuh+Spmcp4kjZBf8vGNXjipKuNUchjJXKOWKmKOQhy+wlsVe8hR/EOu5DggOfuDfccYbhy89etgjkQ9eH3dish9RGwWvN58LBrwvR73IuhXmB5GyFeQZml6qC6RBhfxgLr5CBXJ0GXGxnZ8rjoFAaQTOlWPjqZIQKT1zpigE66/AMQzBCFX/Goa7rru9Cj1oCn4m2+BZ6iigKTorVFyynmvEGW15ObXCRYRXNB0RUallzuRUWGDMlrs90Ord3758t1rqmbbGztvNzc3DTN4ff3WCFvwEoNuf2mMZYoogg019/sWRIirkGZs+EdjTQ7CmQLKWBbZtROdr2Nhe8SB/iKA53tsjlGw1zjJTCYjKds/XJC/urxOLyfUNBpB4gdaIGr6kc4NQw5JF7PF8vG+WnhA4tndfPhysJjNNBHGqAmRLB9X/Zdd+29rHaVaYIeMR/QLUHPG409bzD8OBn102kYX5+vlylvP8+rPtKe3XHgLkJeSnaWHOn8gk11RDyXIPdtLnToeUzjCSHfldK67boDxbHFZ+dQMI9sNyQojvZkhgaoyOV999U/9+y932GNr2kzJm6YTBgu6DZuOY/cv+/ZShAfQKipZ0HgV0Ii8sAnZfHA/tl0sipq+NV+ueoPGWbvVIZ7s/LVnHl6krEYfh33TO3Vdl26OYQub1WggUEC5TvyEno7NEgaRI470zkTVR9w8y1jY3HVUwSf7gz8GYOnjKo6ZdsJlVJJG/m6N6WgG2g7bCeykCZjodonf0uVBSPJJ1+45yyVAhBTLPeRUsG4UmHjIgbzL9Bm0BSwSc2cpKbTihdpzVuHjdHpmG20LPotuok2+LZsFAqxEoE1zyWSaM6FQzGCRjUcPS52ZylTzTyTW1FnRRqeNYmFIO8k5LXCqoxshAatbgEaIaDeJeM4XoXLOs1JFJPKSVNjzvMKgxHpUagVhsyB6VPw9sjwqNTgb0bzAYUW343PAwLCn4/mr6zdm2A5N38AYSt+gwTMirqR0/GUQGwTD9WyKy5oWHE23q0Rirfl8gXjGnY/LzFDRjLVXxWgciE8vF4PfBiYYKuYX0AtmZu8yms01IUUgFHeutWh1iG4EHIetVus6zepO3asfr8aNSTdnccAb+8O35twMuEuQNFH1Cx3hOh5XcfUcwYg/Oxs+PIytfm8pd7MTQ0qyNmtQCDlcH7lXy8UKprE225gW8+jE6oKeL1YNkB185MGlU+vJ5/GLHy8/fUQwK5zxOvSejPZ1w3w49FALW6fOkoumoTVqtc4b6zvPXLMMSfPq3S7+OPHVeXk+Wvy84FBZkKdkd9MF+epAzDycTPNgG/a7l/+E+vp0Mva682l7Ya6Gl9YLnavpt3xjycE6VkZRvaP15HJJEzXkjVCWmZ7EKCzBZni+yzAt26jkMSkLoenaHbmkkk5A6Rx5ENWwBliWSGY51qx0soS7kexbAJJU23B1sDRJszO7l+M+xTZlPAUlmXkRyOrRY7NspSNRgmQ6+1d4l/PfAx5pXL1i7J0dqxlmlYecUmwQvSTy1naJ9gPng3DVgBCrEjUU45LCOCdVbNZ6OWPy2WKzdrIoCZBjXiiFhwlTX5hAxgRTBSWXwRQGC/KSoRkzyKTm+cqcRBl+Xy2cRqDVkpFGC9COaREdmOxFCqfCXPavpd1Xt5DieSmTm5GIjMpiYDGRQP4YkWoojkqnqwUjA7LwE8gonDLAWNH5h4Y7VEpKbnELsTKyg3bb4pyqOTwfrBbr4XCQhSMKksp6oNFEjnV5ecbhSDoN0k3oeYmZTznMKsBccVdlE6amAomVhidpPH44suyOuuG9k9BJutDkvdc906NJBlU8rHQsivkJgwWBMcrmsznclbtedovwTGDqF8x50ykGlixyqhHwf+uJ07lsh4/ReRpog2eCfAYUn5C49g2cRI3Ohk9PU7BaLFZcwkrC00CYG7HXGp6FFy/PxpNH38c58iZlkqXgRZExa1ncnAVJDgjaWc0DYOosDAjElsiTONgD7ZVp+23PWBvjpnGYDVLA0iOzx1mn1378NOtzTP6ug10P+9btBsiZ5BS4H1rOpyA8xzAo9wiE1RATUZ5kTPdCulJQKFlF9Y97unLHXIyYXA1eeN4Fjqe03F2nbzVbNj6e8duMB0CFjGaz8LQDF5V2/altS2IQhcM73EKzSwdmutD672SjCuCVgSArleeyHtPCdoWVr2gUqgIT0tG4ZCZGmkjxUjopdPamE+DsCbMsTDR5Tep8FcCIQD1C87GEyKRQGPGcgfR7jbmhDAO9kZS2L6OfwpxNE+ewxRoaJWxuBGbLQMP2FaWkoOQMkd1dhiqSNBUv7Ej6HRwd2suZjSVutOvoOGZaSJ2XMv64AmDNKDgEPZ9Tymq1AnNYAgLzgqsEIAmExyJDhplIUtR5oYznq1UZAnuRSwYITcNDY/FXRwGNKlTDJHF1gkwpJ/rc2rzE+J4CNrvydog79qbyHiOnE3BUSyYpxuIWv3KKwjYwmCye7u5ev3/HbEmTQqJqVATdNnKZQGzzGMiiWu6Td/bSmj2tho0Ng0VKeAKZRuXqeLtZMoARekH0WFJZz57yDssEFS0ajObrhApk/iRM9XLBRDp/mpqX3U+L2YvBEO91myql3sjeG4ol5TR1JfEqHFkvJYSr5Yp/bK95x2gxK0GSrOyF7MvH5eBqaH9cJEgnie179+y3o6f7CdcUdSCQScbfJE3mxQ/86WTKpQFOCWUuaJmDYe/u5oHZADFVJjGf4IpPXYx2Lsar0Ztz/LqgfJdPVhnyDIsUhLSHSLIKu61Wpd2CBnp+DDrsqTcGfnDP3VjOCsPNWWEVsOI4e26bF41ev20tOvZf/XAQtOCYRaldDF4jtWqGLdIYFjydQMCnYa/B5REZLZBmAdAgmKOJeHkuZ3oYuVWdTjK6c9jaMq0JVcpYY5Cl/ORQZSWvCoXNkoO8DWEz2mhYJJSMObKIqG03kRYgCIuYV7VRW3/QwfCRPZ+LMtZpH/hN8wWX/GW32LbwjFxAz+kSQYWHkGqNsGcg3zQWBe9Md7R8QcQeQWoOEPohTxEJ5UBBSbhWygVLgIZSGEVgYqABlMUUSNGTGHDXjnGKkuwOQ3u+BZvlr5BmwWYlh4Zw0izlPLtB1EsB5Wi6B2aaTaJN+SRK72EUPWfbVgyv89QrqDQVwzJdcGm600XsO9BJD5I8GgWahof24u/pkHoWSKqmRw3qzdAUwzchFj4FJstuwHlfw18ojiqN+yZDOvSU7/Z0Nu1Pzi5xny64IMSCw2+bHWxduY6LP1rTbxuYTwnx0jKjj5j45CxDLLabXLYWqV7lA6MgTomtDrdPCh/VApQMPQgFxGSwgxj8NbYabJZYmaNKUGCzDBeCv2rKVTO25qCiuZuCWETZsot6/irSl8Lt7paN5kKM48Dl02L0/fki8AtMNmPZlMucPZzYxakrf8GJIcClNlZQxi+jg5mCU8K//vdP4MmjaG8LRAAH7Pq9Vs9fLidP6rKVccjskYe8VcyeHyLCiRaPPXOq5BtkIt5aQnX38hfDnHyGVriaueetocqBjX5tg9S8U56wdWDNv5j7kDnXFhqSTkyEkT6H8gxL4aPWjzZDVAMU0ZR+NLvM+/asRcctphOozrhutHrcEXS6nWLFYWDCHgtFKk4iAqt+2Gx2uDUWCJvFPh0qjWNJq+Rb7Q6ioMPYLOThHBHGAKNfHwUsJmFh+MqHUybPPp+cT9EyiKOAjmb0ppdLgDAciIHs9UtJKgmmY4D51R7wyZsYPaR0IRuaoWrHpcFqItzXWyV5hV2Ob4Ry7Awl5x86RGvFcexwvHYBOoQUBJu1mK7bXbkzhGY2y8SRbBatBBBNM0ySFSQBwWg2S3PwjGxCklrvYOqTdL+0F1aCag33dAOBvB42X5kLPL7RQFvTqIyMA8DBQXTCliUbfNUIIqPyZuiFy0Arhbchj9IkR0ZQ+NPNTbffwyw7rC+dhRKV43balrm214Ph4Lz5tnnexCjW0DJguZjvGYqa3OsUzfIAWLas3DRWbcjKQpm6ykL/6n/xRCQvtZ+m15xNlk1cjAyS5Seb2Qj9248fOfT8l9//jiFKdFIqZXFi/7e//u3Tx89ESaUQwqH2zqlNRXdsl4ChVNdfedz5wi7T9sNKbD+5g+uBjc5QDJBCaQpWDZ12Ey6eGVd2u93tWZi7oHmZRFBqXK85RFKaMdvA9RfKQ2i1IxanfdezhWd64iev3kOrk7Cc7OpBKUmlqlm/N5NmgBIUMWyDTZAEY5FigTaHTbCtqW5XPJb/KhQeaw8aUgWh+3t22Q/vgJEUhaClgSkPpV/dRKDFcf02UvIl5CqEnBVlcfVwjcIVPn6Hg9V8WcZgwVjBI5kBbBYdV/BoNosFBTZLenmzk4HtcOl17AC7LKEedyMKARTABGUW1K6VZbBch6N2xEV7uXkugF8W1FViH33eV2XDPc6vF1H+SiPveqJBvSvZSeIPVMAqLltXTug/V81kgkRQzW1S7h/sbodMIUi0dR6ApxX70smQhupPeKDNOEyn2P9ds1mut1jYy7bFZR3crUfGQqvZo0xR4KP5JPAnY66JMsk3n6TU3IUWdyVsVnaO3uSo/cZSASq1k58mIQyWXEhOPWxW9Hqmw/ZtoBSkX9qrnA3UxYkr9yg5w1HJI4KWwGm4U+V8pi4I0pGdEqNhsEe+fZKC092Hj+9+/QNlMY/TfRiLwpSljbq3iBtlckc9ZTTqMOPtAzhKywLgugHcg+cuxZSwjJU8nD2qabssMKAFbhGzUogVyPdajdntzf9r2//H//wfaN5HpTabj/eP//GH/5hMpmRU6ITc2LI6nV4Hs911u5hZEJUVlsjC0pFvXf32xeLnWSLf0lMYSOsJVcqNH1ZPezrhi4Gjt5LE3t3es8x7LskLkEI/jv+0BDGAy0O3piUCkdRKHEM/4W+9tgF5KpuuYBoF3Q4SInRQliqdQ6WVwafGH8z6Gg3FLaYH/uhRfELvJ8dCYcpZO7/6/u3n2884j0uKRBbGASH7360ykujkRfVgvqYdZE6ezzhymuvxZDoc9PVSkeTjxQ0cJME9Ma1XNako5h8X8yKtTLNZtBrrCOc+TbOLVWDWoPxV03Rx+l1aW84Z5aZq+vEcuUIoEqwNSabjj33Xdg20sAQJVim4mLo0K4bh4tKUuYg9po9c3poBtPiGy62ZZ3cyoJJIxgS/Ugv53EyQRqt7qIeceCPXwENOMQue3DHM89y7Ea9MgcyyzU0kBzZr1cEhvTorZHKDW6hmsxLmQehbqSdWllMVCWtFtGazKHQzvKsyVcaB3JE4VYIvjaThKDqJZufxTdBIEHiml83CEBegNh/Jh6ilYzM9+mYBtBvueNMs8ewRp6/5+xVmDga06zzc3L18+1omYBFicS2kt0BDRdm/hTqZWQhcrwvMje6sB7dTECNZve58OSvz1SAzylZrlkJl4M3CVc8QI0V2S/xsVTcsJXrzyf/z7//+r//nv3HiyWngf/7hj58/fqJGFipmyAFYmkQesGMxzSMEg+VjQ4ZVv+gJbEQUttdUKtMyZWpWQpSg9ZyayYQQ3J4Ij2VZXQ5quX2JwQiYSLVXKahly2kPY2UxRhwLcPdCzlRg0jKQv8kndUxzHpuxU5+lyvQsEju1+KAZZSFDzdXqEDlWO7SX8FFBEy2rmLTNUctxfApQrDP+yWWh4kg/g05SfqamOhx1OMdd9c/PH/74sF4hCe7zMEsmuZxwGdhiLgFq2EHBLBIskKYBQwYrhTQiaUww5x+xDFnFZiHr2hSRlJW8CKrbu18dpW00wABF9JNv3ATEQS+MVfLBwNGGjMEyGFpuA61rMYFms8oS58Ofe6ak9bDxmy/3qJB4O6cm3pi7iiFKoNHyudtR9CiWrChCpho4/GheUhvRArQ3aZpNq5vluYvh7hmKb2kUER1nvrDNjvIzQc+qPaRcotJySg0yYSFOzjxoNgvG7gQM1p7VPzA5w5vmSAY5rBWU978lR5VvoC06RUY1wBgVqRQpI35fN9McVT77LzlkOR7PB/2hWG2QfYbV6Y+DW3tto+rBEfCLl1cgT6fT1/vWQh9hwJ+JG7eyRx+f6ZYsSxOHi82nFa4TDdHBYpe71StxotSv0Kpr/+Hf//3i5cubT5/QbH95Hq12ukbpoZ7Kt/uVQ7rNZlMnjwcGbq9XSzwIsmpttRifZc3IVIgca9oyL68v728egEdihlohHnLyKrdMJQ03IrwZesSYP3X6FRKCDKBiwJlER30iZNQMVaYRDgDKsR08q/Q45vNhI7YaNYKn5VgvQ/O2hj6WsBOQ5KQxuZ12cZstp4TyoJf18rdXkwntL2UEQ27J+taiWJVK5ZAuyPSpPmxrWdic4rh3OXFsOPtBvw97QcdxPmg3FqbXFR6udi+gzkhxMFLgxXu8NFN6wmbJETOcYRnNyNFnW271arQT5BniQsdh48XZYPTi5c8fb1ZKppVOdvA7fEAiwWKvxdyyAxStqYYMArUdKXPRtGURXeTSHRTAoa5RwNgfBEuJrMipa6pBqEpDR5s5lljUchFP7lsGvHJy2FC2p03OEJmZOXKS7n+ep9PCDHaAsutibeLQkEISNouJl/rqkGdlIWCzjmWwGDYHrxPVDZtwlzoZvU4DacqgdTKsaDWof+hYDHtabzyxWYMFA0fIwp43PVzL1Jgja8+i36yF2Js9fv7CDSPsS8FRGWgWYQ1+ueQUQo95/vKeKE7WRxTK5CG90e5w1gEbUZK37ghvdXHIx9LXwDpXMA3KbhEyMzF49baYEpmqJrc3lqxSeRlPGUolmMbBnM3JjE7TxCGMC10NQlz8g8BgRKL6OEXlL8vm4vERSIgRyQAAIABJREFU+6LuaommG8to/lJ9BoDfCuyV22sIB/D08NB7/z6FTibtc3+mSlaMFX9UUN2eTeOXNKkOxFBCc931LbQARQhYtpAqOVbwKjRuS45ukyLoGmQq/aDvTOzB28H0i+22na7fbcwaSHQ4ccXUO4lRanbXEe+V5M2/0O3UNO58jLEzWhpYNsFSL0YeTBaYxczBVMMaB5790PBd376w3vtrUX7a60GCBYWhQUhxad0axWY5iGPZ8yEwLvS0A3pYYEl1UlRyE4+c6xXeRl+9e/fi1cv3b19/+nL704fPa2ffe6kFVWG4t2VtEgQ5g9dTQUG6OIhVDDypo5J4xaG1f2nOQ6itBnw4RenUY56ks1UFiyBJxRUhEQlJtXAsUZRsR1hyfxBwkERh6sSAu/hNiqhXCi1MfHwgbFa7Ebi4OVu3BqNzyADcNCnCQki1n/k5lsGCDToJD0id0wIqag3Fl0FmO6JFcM/cON8GPGrp3Uv8BCNXF2pveNb0U8tfcygUUYOycfjslPHVKg8Lcvfx09sfv+cwwmoN3l79gFb7bLrqiaF2hn2akaiFFLTEQOIvG3d8v4hrhcXY7BaTuh5vdUYaFoMwiIRZoO6o7Y25OF0w6wm018Hyxh3ghrD80YWqlTEa7eVpUzFqYqDjZaPBKixLXsHjO2JJLB9RXVMRTXC9oLtro6/gAgqjs/4yxAqz/yHsG8bkcXJxHbk1zBcdhaTQVVUpTVgjYgMAZAoaQk7AyhmikgIKuQ4EMBQgdMiiXdCuESyU1rDd8HKXv8KwG/grv4sNhlVj8dOy2WkaZ43ggWMgc/y32cvfX37+KEJEeQqx0VGpvzSqVrCTHG7TfQqcybqDtQb1oAcjMu7ZhMsLjQHmh5r988F4ITbc931oAaw50BR4nqEltGRLAxFL7KEvJuBDrqW7aRPwVALOpZdzh0L/vfnuB6StLLRaV4z5/1fv37578+rnT1/+/uELymL7YphO31GyVk6EaB9suG/IJZ0o9a5PBkUfTCadQ1b8gzKlMCh5LZaaliTeBMcVlqFRMDw2CZM3PYrIx1mCNz/IQ46oTsijCKBgeiRKnyFKp6hLD0mh+kXlPvEfatTlgnoYruePSww7WJFuYkYb/cSlxuCKV5049hl/WQL1KqjLoH0TAdXOUmkahBw7k502Af30TERgWkH3wjWQ3CspCy7e7KdOcGcws/MIN7kw2ka1s4zT1vWQ+eUYDLz1+u9/+ckaDDC/vlyunh7GrPcvXl2x/YSPgE5gKsrg0y/Jk6Yo1XQQFa3aWLtB7g5TGt7uuZEiuPUXoPjrNVgSpoHTzV3iUxDZ32OG3tErMUsL7CF76Lz8TKYiRVGUXf6wqm/WWchPz5Ye1onKyUHWCDnP2WRM4AOAihxJxh7ylpftcN4YYONDjGUZlOStFqsldseq2MoYjcoax4nyv+m2kKaQFix9IiGWmFytTFcKYBOBMKhx3wmugvQVwk106g3By7gZVNsgRQ7dFDMI0giwwX7fc+c+Lj35bDnm4mF1/v1o/XNi1r+krejFuFzVFFG3ilSVO8LbSxspYbMCz/ZhfibNWXPGJYk4996/lAwjRaG4Bme4pe8SqsM12CycK3PCsGGzkA0hwcqXBKj+YGPiTieAzfrxV++/e/v6w6cbOC1bmSDO590ZggIWFdfiKDwT7EzP6kOajQIWmfcnHN0p++crxQ7ttGr9tu2cqnyN+Y7xsZ0v9SXHZ9xakyuEhU9p5VB1o6N1Hs4HNwSaAgN3pdNgaie9QdXIqqmJ1KVFpCDVeI3HiAwQlbwrNlB8ezWxm53k0sNzs1lHMViqReo2hxZQxbUWAVV9jqpGcz57kr0qW41Nqx+0z1wTjorB0BT/M/ZTO3AijiqfV22pNsF6GG++S95qJivJ/TWDlQjcsRdsjRkLnvviDH3iFuICRiPH9Ho1ShCiI3j4JJoE/E8C9kMEMpRUYPTHcz3spKstdLnkQQZ0LRo2WK3ZwGv+pFUGkBEcyl0zt8ui0urI7YPlYoUDLbnklX6AhIiF+mb6SddNpZSJIZ4dkqxgi5nIDvZhSx4WFZS0kIw/xwPLaJvO8menf9Huv+u4975W02a+nD89tbucDBQfDRyPjHRTrY6KiqLlFEnQvrWyZfohjXCryUVp4O2Gs5PH6nj4fYz6RvhvpLQzZAZSONguP62/+7/effi8lEbMlLZFGFlU4spm8qQqwZ3c0Dfsxswde/bqSK0ecIG6GX05o1mMSiRPynJpzGZBkLKuqu5IIVT1yrL34/fvOTT8+Pnm549f7P2lWZEClnIinaym+SKTRmXQEKvZrCiZJojyFs1D0yF1Ca4sfyocrEy6iuku2+GpREI48hnR5/4Ip2Ed7CGH80FdMmi0SyaB5AyR2+JJyyela/wJjyqSROzzItl1+iIoNJTV5pTQs5dTvB5o3SySPx+bdRSDBc+0RZGphqCe7G94ksrqRa+o1qls9V7zfVMv31GpDu941uW+3znzjY64/QKOtzSccdu360p/pb5QjR7wR1WifmYRvVSO6vqg8ilVTUQiIY9MHTL5suwECPaxXKUzYFoUDknfw1CUxhwNEUFB8pBXUVgTB5uLtTN+mpydjxTK0fgSIFID/J35fauS3ZDSN5aidOkFf33u1jTba45rUfeFbdtOYpjdwVDUSlrrVs/r988ZtGyIl8s1OraN3shZzbXr2U02Xf8UNQvqYLxJUfDG8R8pIi91BfFIlfB+La1Z+EjTHTGFhUaI1GE9Xptj0+ecVCm864Lou/Hdw4s3rwrLzQSmKp2JOeVnXNkTwGxOuaqL04PdoGIey7zfZR8LfSxkWO0gsnjlht7SXD3dTM7enc3nEyGwVDNRlx2EoXsWBIsSImZsPcH/CkQU6utUZGdV2dhgmxT+SdgsBLzxbA8GMZsFFRrDoRWs5rcf7OHFVX84SNVpRwmMfcVmvRI269PNXtKs+AqhzGNW7oAyUzBNqxks/XcrNpqktsJ2fpCpurN2QtAJmMBk96k7NDshqwm0zpRRszCVTN0fPMRDTnJ/UGbyEgWs5Hyw1yu9vaHJHCLZRe9btdJERZY6ucDQajONes5yzA18y+rp0+jnYLOOYrDSraDZqWTwUE+ItUyJaqtt9vygoIJhsCeQA5JTtbrlQmEDr30WCEelHn9p2k8tcdp24LDbnte3vwrrUiNJYb5nC4SoFYuoJgRei+URzCQ6gXABLXMxXyGtoccJJ79cYGMS364bXnFIyzR0f/ugThVDrpWjL4/BTI5CpuOp73ovL7InEbl67u4Ybs3BXmDe08DlcxdVfGFBk6fb7796/4bPxXpq2xNOdLHqNZnM9YBXPNZww2OBr5qC9Q6kzqSQFCTVx2BSquhNlBLWYUkSl3PpwMw7xVH+foUqELBuWBb9zY/f/+X+b01gZHqC09zAo8HPLsSK/S/kUZXdzT2XNOemEnLwtjNRnDzmsYx7pvE4MP8btgPPCbpKGCnHrZc+B3iLm+W7//F2Mn+S4/E9O0mSS7cUb430tQxJU4FTHstdIQxJ/rGXKLRNKiOTW3CgxJXT+5v5pDO6uOwN9mKz2j9+/907pFkcGn6+oZRdGNFRomRNRdmP4f2dhbM6CxM7zcJTJi+Qrt+z0fbPUYAjFdmEqmGrJ1FQ1VPoJvZEb4bZcRZityX/bCGzHQ06iXQKST29nX9oY81gQS07e0Q6g7ojyFVeOPPQJETNovxKYmmQ/R6mUKRZAfr8C6fZ6uJphx09IDVup1KB30F5ZSirYbMx7Klr+HWO/Kj/N9Fwj3uzoEnYY7TgqEY+p36a8r1ly348hqPKlFJEsJkkv7jPqMGE8GU2iH7L0OTiOPqHylRDVy5Vt9H6FUX1svRJOFtn3hFxTcYz7JCjII/cizMJTl3gvHotwxqghL0DDgRMWdWj1LCbXIGxO55ht41OM5hzL31z6ieKxuppm8g5ULvysEJEoGAkD2tuAyeF7mohh5/pkkQYt8djhuZ5OBSTAYUPlcAFm/E853RW0ByFi8W8c95tjAu04ugwdz6zsRhbrvJWo0sLK3Z4IHu9agnlfh1QDxG48UmzUa2P1eyGGP5gvUGNPjj3F4/2MBzwuV4vmm1RpDvkUQOtgpiJ4o7oyl5bogd+sqqLBCsymsWBCwMuggyl+1y7CHDExIhuoQAwvbudT7vCZvXl8nzNB58Hv/7hOw4NP3z68uHzbbUKPHI6Jg/mYtjbXtfS25iKglj7iQVVnopk+0bRBMeAA5l4lKvGjKYNxUPvi0q99LQDM0fgq8mqXhadSoyZxVXVssN87sTBMzqsdQjPaTivf39x9x/TToiGegwduCqzfG+F5gusFcLK0GMyD5z13IbN4j4EUiFKOBWbVZfBokjINKFUqsY7jjVOUcdaDZEkouZfX8Ndl55UloORVl9zVITJlXjhqB7UqV+C6IlehJz4lyawE0E+NRhF+HpO2ZP8W/3h1auXsgqm61kPP0WZ4j4Znmw5nfW6rV4X9oN1qoQFKQW7cz5kAJoNG9lN2OxyNwrl500Rsnioh/08xiLh8kCMVUE89/VQArG4IwmftcLQ9mKaPiuUvk11bil2qQjsPKW+tl9hFNfYAy9PoJJDtNU8xzbQ6It64wdyNptevr54eLynifPJUMaaPjxev32db/89a5mHfXiI4rF2MNCHQy/Jiae9STMs47Gk0zuN5lTszXodPEI6fb/HTVXCV4sl8v/sGXRJKYXBqn9L6ws1ogSDo3H8LKKxHvNChZD2C9RXCyF1uf2wZZs0ZrOwP4H3Ksee3HyZd63R1dXO87s0BhhP+g068O9ef/gobBZOe9KxybvyQthEpZOQCgWsJL0WXG003JOI9EvEMe7HNO2cU9IlZN6Rq8XMiho6yfjR88UBE0emgNxnyITml6m351KnAhLj7BBe+nppKgk2PiKliorzwXR6w0PXPmyNjHAiu18dJW0gK+6JH2Yy2CyEsMuZbeAY3Oql2axjDuJKGSzmR56kYlqImi6J9ewZanrihjsVOCyDIKPqDNaG3IbhpAQ9KnPN3SJlmOpUpRTCUY0cK+7pFMlQL8yghMglMacNjs6IZBI5gvAxR/Hy7Rv0LZA9yZZz/wdC5cqEuDV0W/16hgbyhSjebsd8ODhv259x5dYxnrDCvukG+kiM5qmHY0xkZxhK5aslq1e0zjHvtFo9Jpcl/x5uk3uF0nSnmysZsaPGoMDkVq7CB/Ac2GbAi47rOoPz/o2xxV+mweO4enz/dPXqOh0o76efGLMlVHzTR0lfpJNtejEdeqJ3FqstHkvmUykQYqP9G0Zg+ByowK+HjXmz0xK9OVJ4DoqFWANNM/B7I1RWXw0I5hivhXBCy+UCa48Yfdy7gPIMkDpdDXDqKlbj4yYGJa6nBU0PQwDsQ5AaPH3+1LZ6o8urCpFnvpxup/PbX3Nq+ObvHz9/+nKXZ7MiBSxlVdyqkJPFiKn7j9sa7vlSkxBy7TNL7Zk8KYZSRPKa+t5+LaHn7UT7fXE+6K3FxGL+SToxH0VIIp1C5Fa47xJ60HM7dtTqmTeHcia384vXZ5PJAlU0mkNGzz4tX4hqRSDI94XNWi9na7ON6NPSbBasjtTxIBc6EYMF6jwZjurrHPlVVLgwCjwLw08byC4LzfT2mWeIK7mm3IyxrdVtN8Bk8Td4tgrd+ng+ZApJWTU+CEgk/6slszBhfby4y6E3PQd3rD6bQNlieQwqkVCnFAS8C74d7K5ogMZEqH+lPURwpR4krEwymGTUyVrtFqeWOkr/nTxNTC4HxenJy6JbWmo657d+VwbAqWwTHkvcvBQZI6RFpDk8h/ubw9GwCGXiv80DtYIdy/zXLJ4tGGeF12HrAZ13KTsqPVBOeEyxZhY2OxgB1bQkVqNwheSsMLguFjCOeQRyZX0Zd2dnZzaC1dUKJ277WATYgRdEgDSO+WG5dhgC+k6fzgNn6Xs402RLImwW9+YfP3/s9Aejy8u8v8KKYthQ/fNvfvj+/VvYrI9f7pCaJYkjBgspIGO2XJ86YnZBKH+FMIFV+CIkXhhRHLhn8giIITLMKgoQalJTkXopLnqvUPZPvlOi4V5eYc4H4xuEkFDx6Eb7Sg87uhg2YydW0C3Pamxbv+48GJN2ICyOBkH4qepbiAZb334He10r2Cy0VjrdDZtFufuqJ4m6i8YYIquf+RsqQj1T48JItQZ+Z+Qx49EgcFTe3Fx+6bJr191AQ6G0X9glzx0IPtvkXTVgiwn8EBSjw/5NYQxnNUr2mVt2F2yK9ULmCTVV7E5ekAIFLDYYrBYHGHzfBrejZqbfavdbjZV0CA9oK2qURkHpgxDtRbERbNQTUbFNM1g3X+7G4/HL0dYlGgEiXbyj9G1UT/BFuXsdFCJqAUnP9larBZrZ4UrtKbf7TQ9PNBvW02m328XX9QkQPRkIOoy+20zQpxss2yhGBKJGLSajGuG0Eb4MmrdpRroFIxW0UbaC8nH2jUMn8cAUCC9mtbpISee716HtUgu+VBdv6luQotFAIMSDufelve4q1cfCZAcESls3Ghevv2sE3mL80EyplcHVeJ4tt1ZauNozsKP2sFrAZp1fXrEm1S8rZrPeYJv045dbXM2RF36OwcRswFoOEVZDo4lQMCC9ZrOqE29iNenUHrJ7JpeJJdFj2xRa8CaYK5ImrjY2BXDkQgC3WmmMosiqsOT+IKhgXqcwqaPsZYAqzmELE6jAaNgAh4cQ02st56vWiD3KJpOKkpQ6zSbipG9wilyFTNgslLMSaRbl7sEpka1+6qQKqkeP6s4E1F4vJ2TskFGhlt4euWwSqA6nfu7cWHyyUpPAXqg9Z2K9niclPNeyoAvQ+zp5543x9tzdzESrRrWcpiVV3OtFG2hlo8xpo0wTu1Tay4AzcgoJWyPGPObbQWfY8Rd+VgyuJPlsx3XK765+k8j2YfvAB6wo9OHh6fHhkUrmMSTwudu5sNYySam5qjA2CfQwWtf3WphPwu7VyhW7RoaPjQZpLmE0C3Bn2ZygjPXmlW6TBNS3fREOSyosrX0gtZVVIK6ntEWuReCxxs3Gli+dDgxWiAI26UUXQ4ENegFW09wnv9tr4Vm8rKi9wsuoOg2E0jm8xpgcZn4x9nsq/XeKRraB+Vmes8uryeP9cgz9b5ZwkX1gF150JhWbtVzcLRfWYIQ0i6k+jWH1O1zUP//2h1999+YnjJPe3CmBmTAL6FOr3VdVbs1Xgep+DJYGqSmpCvxWXP3kIIN+wVbm8o+I3GoM5HIYjIdyDzmViCTKVUwGhdqfUDhH3lI0zgDyJmfVwIlGjfxsHk4JZw/z9qDtjvVeLolSNdYZiyafJN2RL5rNcv3VYrpudXtc3oFfgmvX+lF1GKc9iPhIXE+SnYohzT4MlHBU52imR7d8sbrnzszFh97+LPth5R+YC1KiR7FckywIFdReEbVV/Fa6DUeld9zJUs9a9BWe5CQ6XqH2LpP20XMLp4SokreZKdQSR2C8ctWHSZ3VllByyDvjN5q/OPhaBq0zY+1n/eQwG86mM3QLRmdyKIZv2XR5SHFsZanr9sst4YUoSRFHzo/pIvd4p5N33y3AbGlzGAaL0ETG4nLGA8MoloIx+lxRFDKayeP44voynUbTFHX9Vg9NLZR2knk5JtloeaisUsxjiU9oSc/UuyQ/HCr7AnkhTO4VLsR4t2LLT9ZGEXVRQGWtwWEw6PuBtVws2XEer/8uRM1BoJJIwTBdv3pzdnE1frhbz+A2N2splMQ/lN/l0LDZxH/i3WLeG52NLi52skfpJuf26r/806/fXF9Mbz+KddOw0e1ZumHTyTLvWsNdq2Flomp90kubquzOUTc5d2hqHKVtlac791DaxoafW+Yhp7yGlBkpVymHAYXjGlGi3qZDCfRxhLPqGEE5nl636qI+SOIi5R0wXoo2zXFGksWveRgnCIHT5bjb9ZYLLPRa/U6ny4Rfk806hMFiqGiiPAHu+4Oo25SsG2bYuVAcFXMY/QhHNTHnP/XKqWV/bJ4/B/WVc5wTFsQgSKZugatapwh+3bmgKG8SxgLuNYJWUMhXSCrWaZkLNwxkkrXuix7V0OTF1TkKULBZ6JOjY8s9KXu5aHPKm9S3HKQa7yod4qhoQsi2Ohaw3BsfxyMZMGw17en0yTCQAahDsXRGUep8uH/68vlGky5lqLIyMBQ3lw37Gt9s3csOChM8ORxEPMcdhBZu6FgCEWJpoVwlgqT012hRW/1B3ldJjS5JgO+TNslU8aLG1KE8lhCTRmjDeleUlY5SPJaPv8JbDgNxBoD6AaQEFyJDHKLDx3MT/rXftRDrMoOn8x77zhCjP3YuRVzQMA32CRxscJnRbB6l/y7tLKfl8ZrKGtzpvHz73r68Hj/coqYn7GX8oKLCP27jikEHBtRssppN+5gPvrjYsynEQ4ZsATB01MsTXlxe/KsvD+64QhgnLv6NyaE4NhdK8k21c7EE0G47FbCK8qmwEjF8afook5AgXpGrk+Vj6TM1eUuMGKApehIRl/a3oZNQx+pGiCGFmN2RC7flj4IEaVewauWZa8aI9VTcoDUcdwGbhUPDdrtTh806hMGiKoCuidhpk0krlj9ILqwrtzVgbInpBHzLO5P2+n73GCsH+e1jhHrS81A5RqVNIxGpSKHrWrRdK1E5PjrGGDYH18PZn6f4dC1My1oiLpSRkain7rjbhtXuID3asia6XjviGq/ZnN/fDnoF41PREs2imiNaK+W9gp0lS8stvtvFFmc9Gd+322/eYm8i1dqNcLlYfP74KRkyyf3B7RrI7EDGw6qfAbX/p9AYGEgfxJwebZFGRgl62a42zFZzOVnTaXi72FGQWq2X46dOF+djce/vyrQD5qmi9b6lpvg6XVNZF4RODnvUvULxV3hjhFwiFP0EBQj9F5my5AIqDWzYz3E9WShMejjdrWW1YFfQvjhD8rpcLbH/foD+O/Vi7eUKy/ZwkAK5n/X6/fd4eh7f33qrebp1UYDnn9J/F2+C6+l4CZt1fjE6O6vJZrnK06JmmCoYrAQrPTBPIDKgwrXpoiItveM7dt+Kx0tZD5WHq/6V+tXpaA1GPOSoi8/lUItj0O/QEezTcKlcmEjfMSQdd0XrowQomDfOyd0llpP1KCkEr6sJeKosyfYqohhiPlTASyhjAXPhjj2fr7EBv8VmQUh5Kjq8F/M4PHcIAyxZpXRZaKZbLxzTUn1MD3tN+7Gzuj3pzk+VRM89S7fVazKUQDP8rBo8lZkzFFlzt5ABqdo1E7bvp7/2Bz1DtHeLnrltz/3VtedZjUM0ThiB6nyBhSP3KOQhmLkd9C3hXeIRKGNFMVS8FNawMDAHPxfAVffZ/R27tMur8yQSHz5//tNfGHjII+gElri8AlaS+Ju86FkJGmOFlxYp4TkU/WNBFdVTVJYDZr28TJI0XNxCdIyBpeSAg+F5/3D3+tUbKSjVtHuMKXLpM4YTNZCmFpAtE91JOckIUo1yopIFDDwWNwq7Nm515ShZ2gEP0MzEHo4s/Q4Sz3WnVebq6Eg8ZOtZl8eiqK5courg7gn9d8xe70u60EOrVbzoAhxDo73vf1zgFej+hruESXsT5ePfChLixBCBVhisx4+r6XRwcTEc4Q6rYKynWwUz4YwytmyXL15yzJiOyr+rCUSmpvzSmE+8OyQirN0JSUHa1GiIsvhYuQxx7aVcGtUCU5ZIr1d6u5QvJ5tLPOS4RbeCSVjZ3lp7nVSww4XkgShRpInKFjTbrGzBld9YQ+pYTXdc6lgVuG7oBkO8TIU9exDVWRZr4O6udWXhVZEdLqcoNstZm0qa1WahYXhwBpphs/arMGUi7z0NLVbhXxxH0aHp9t/ahrhJFv4cownrhy7OkosznC50j8XgdIVqSBCNquwuuPG8E43bwziqbCHQaOE8kE1X9S03L/2wRHpsdjGJjhDYBV9qsKOdhQXQJ4rR4CE9CzkHK9JE2UcNMrZmAlcOthRTpfm8qrGnRumBtYbHuvv4qdcXfWHQub97/Ot//5VJnHfpR5mGGlzUymIaf+u+VgjEQc/0u2kvaRZBDnkvDVVONpyaShNj2wifkSEm+QLsbfHICQHNizI/UsSOWOHncFas1y+m2qPw4G3PuZnhQuf8csN37qyWIMQa62ARwvUcx6LhTvSkCUUxhKlaq2aJiKO8KU6BiNF4st4b5p3aeMjFGnXVpjVGP1sQVAvjKcopgCH0JcMhX8F006QywgiFGG9brgLH7oppt1Rc5SsldHb5ARwMh3i3nM+m0/tbbqim4dH/cmioTMCjE7Z4uFtMxsOLS9isdLLM+9WLV8PR+Qs/EAH2rkfv2GmKgtbYlbc0nvapmmA2+dIJZafoOkwOGQ3OTepD3mRwF/f1NjTmUHsx3g6LvrZ2Rdsp4JySo6x2yQhNTGTtZepMlxP2sZvmm7iY2xwySwwKdm7DaTfaXs9rXYTu3DOWmzS6K+vUers2+33Rd902gwhrblN73bJ6A4T0kBNcCor8zF08QNybwYJNO8zi1n7ox6nNXtC9dJFUoaPQMUy0ataPyrxnPQqOwRz7mxeeHQtxr/zCHOQetRhsQuPpsiDlJtHeb5Vrbi1o6JcgxDJ6RqPocgLbHiYAlmM1J2WqJPAhU6VSzSs1E1NtLOUF6XK4xO2hNmCiU1V7WaCYwuUnV0RhAIPu019/+uF3v324f/zbf/8Ey4LOFv9wjiY3CuuvToXQjwjUjaZ0JuSyT0wn8e9OyJJQLtqbA/z/OOcdcSfXHY36ozPxtBhzKTgFosdgs8zzq9Vi1r9srpeONeq6X+brnsXBU0U5zIxczNFMFTpAsNJAheHAeGzZ9e8KaDWjhJWRTpHqnXSZ3VE+AsAJthtC4w6fLr7Mbzyqj/Yg1B1llEdT011ELmhoalWJG4NBz/c7i/nSCP1uZ3vFKymIBRilq5LITTBk2n18AAAgAElEQVSYjM7Oh6Oz6fhp9niH+DOJo+gtTzu+N7+P2Cw4syRZ5oXLg5mQsk+t2w7FUlBZmkPCI4LanVUnxMkDV43xSf8c00Pc1yBTXEdJIEM7uv61G+k4RdpAQ7WDZ3JgRDDOV+sXz2St89C+bfTNzZ0hWCuv45ln2LBA6Om3B43lF67eDja68zFs6VA1nE7cszF8/Ut/dTtGJwzs1RRXO5Yl3p9YsxI2q2q+2wb1lb7QoOpcuEZLFBWZA/xlUwymY94zZIRzvWVjTe4rIRQX86z9FBdS/BtNu/zEE56oxGrBa5zja8zKcVl7/YKzt/S7w7a/8JJjowSCETbbPTQHHRnkHNig3ie1jGzecmOclNhfICTJUvtFZhO2FIdkVcxc2XxUiYDg2fS9v//pz+uVfTnoUuW9kNftcDyxqak0NF40nXuUpWQ51DDn4QpniQO3n2/Q6qJlvpIGlVmL88Eh4uRGY3B23h9GHuUI1+LttbLjAKsEW9R9hfb/rGd1Jzez+cMjtgAyXhQpFCVWmCpkVQgyWeogbVhoi/OhLkzpfq1X2TUSGdU66hK+KF+qpPmrndlPmwCdd+2v8C7AfTeoRAzNaUspg5bt7u2mUfwGSbZy078ondNRXDNs4/i8RGiR5GH0Vdj5TJLpF/oEI1ij84vJ4+P86W7baJZmsyIT8Dg0nN3dLiYTrDns5dAwUyKf0Bt/NZuVjz0qRLfndgPmAYpA3nNhWNmF5WNPFaI7khbO9qgqQDwQejLT7vsk2utGU1xq5rOzr/VUCzOh1+d6gWM3HPOlv3p0+/4oHrQNFw3QK99oeSscoS7N/vem/eANG0PxnVH4qNpKrYnNkHJh+kMDmT+sDm0Lz4dbn3a3N2CkUDh/92OwTi/IQTl/6HfOvCZ3atRO0l2Y6ztMejLfHFrdZ8gXTcjPALkCJN1Dg1O0NHsH73c252NR+m1yKaGvCth1o07SCd4iGL4dPn56zAxCPLY+rhf9Fy3bsSlIrOFgBh0PG+qx17bcKEL7d7uyNVHXl1v032RhrZmXEpV2zhG1930LRZqv/yhKpcHcge2vgoth31kH4TyqCNelG70gmMC/FGOmKl40C4fNYNlgf214RvBoXBpnLe7ocgcfY3zqoVjIlb/IyZmtMbUqxiuxrT93+sMuwju/GcBb3X2+Pbu+kFUtDBfzBQy0SKpQX5A73njmNtuWNlBweopWDRPN1VRTtUjcv5E4p7hNnjUUHmuKT2jb+KR4YDkp/IqPdLfWDaRQmExpj6hpKrBADHl+fra27eV6hVfNMv131chNaCAPSsot2fcw112+eHF2eTF+uF9OnrbZrI0JeC4nhq44NJx1u2eX1/XZuAiZmL6gPUI0m5XH81lDaAR2FDiftKxnZK3SVVBdKxLbDLeB82/PXqRTJu8lvSTxUEsiwUJCX5gS7kqPNAyVUSydrmksgZ9/gQYd02ldB6uxa637iV6Xiw7DtSdb7vv20Oy7Fvs37keJdkgeSDpE1VqKJlC/p2NP+E4JGJBjw+bZTG3cMuRa155KZ8yhR54PgkRr5HVGvtEWyqY1vXlrVYOjUn0TT4gnbJXaoJ61bzQWTC760WUx+LUpM5rdceyOGSSklLzURv/AhBR0fKP7K380Gtw1H7JImMirQhZpd2lTce4tMRw5Xk8qjjoCC3A2V81vjbca0LvGYE2IXykZvb8XtaenGPLqeneH5nTtrb64w191Z39cdwzF7cnBYGhtm+nK1aqgzznH7Ts9rQnR9tuaDYCl0kXzNz2TsADbdnTK07S7gbUKzaCBbTJGvG8/Pt43sdnRCxazFWrT/RaaoR0l5wMRIBWxdzkUawZo9HRiadVyYt63zWsiUCcZPNZs1XwX9h6SY9s62Y5MkzRNsuJFhFMPLmsJVqfEYzT673ah/jtjmZUbDckMRNu1p+bnvvNi0C0942PnL0azsOZwr41myWKhH1nAPFv4+ZYw/FzoGn/5hAoM0iwuJ8apdvwqLkOW25jBijeuO/LtH61n6twcirNJziB6EP7XnpsSrSzqEqGF2oVjFylwSHVzqMdtgPkrHUczovwQB2/9ioecRgMrLaIkYNnBAg+upBXpzla6+INwp+OYl/7yweu5A/ZqOoaiwjPHD31zanX1tQlTzEMaLIm6hWMIZb+6RJleSFFSelneKJycpWWpXpQtClM3OiFopjr2YuXgk2EH0KOjOczCtidiKnxCSG+xt54pjsrZb6/GDF7HcOrR+H5VAJqdSuY6RjvHtyXVpG/5V0CXpZ1eVpV9MhxGitmSuduPCQ32advoo86LCJWr6nZoU3F4d/TB7bVcZkGVRxvt1AMjC7D2NwD3qe4GLnOvHNicpv4bsCd7S4hGpovtZlVlhG6TS9Phohk6gXGBR3qpDRTUsczGoiB9ghgVV9K7zZKWRGVe8HFECDTMBiAdBYPlOFjnD1Gtu799RD558dZqohWzaoQ9r9FyzGW787IZzIxeO6crIweRSu8+DXGf91TDbLXMTjJQk6NsQPcp7TRpsckwR44VmvCep4FYAiVpHCqbJgLO5iv5z2JwQGPtDHrdxWLVsB1OdBNugdamAC5Vad2y7fyh2Q3dlVN2b9jzPS4vcUGc7C/fvnOuYLNu7QWSvg3KHMd4sQl4yJWzmafPq/aeDg2Zb6UdYjZrG8mTfmniU+hTHMrsYrtSaT5IWNIVO2n0REiBA5DoPqk7Nreg+f3Jntlao8MM0B2MgCXtyRkLQOXWBm5xzPY5/u25Z9d2fc+wGmEfW82+ue5J0emKK0Bk09zV6s4fBEPAavj8dU23PWzYnw0rsQQhB3Cofu43XigCaIWlJ2Xt9SL8nVolhLMR2NHD0tbr4nTP34PB0v0RQyj9bZq4oIGjCsRNMv8FmqNSmumlmXZHwGDZysDJ7qS/4BS0oWaqNI5CiZi5TQZYCebkysbkArIJTvYN1VBYinb2h4wm+2q2bHJKbQus5EEByxq1PJfr6v5sMr28uiKKynINTe6sqfGfJN7rJWlSxny+8WqC2n+lT1duUwgmKgIDU6toChQn2CSN38A/X/2EDKQzkhrGWTK/2KuEdaW81Y178evh43jWwRKAKAiYsLGZxJlPGbe02i6ypIDFYokXFCWlAKENXiwe0wl6MveQt3PvWee2WI9Zhq2uiRtjubJC52YbQ74pWqq5J7klLSMQdqGdqWz6kzWiJnOZznWSd1vaXOxjnZ7HiluHhilrHBVO+/Nvz6ZXHDbyaQytoJiFfQ7sv+sGkdUW+9eOmzsllIIC7qOWPLa3Nl+t55/cs945syW6O6/e/2q9WsFmuUtsk26ysSHlHwIYdAvoOO3QsNsfnl1dpUWqmwzbb0wOBGg2azvmub44EzQaCK4ipVLdHfRPWb88Fx4KrhQqrWlyplVcUKqp8wlwmKUDuceQdvgIVAcTuhc+bLSzkisKi/G6/6LjzLxwYnbhkGRqkbyq4vxGcBzTRXa11txVqptJ3BwF3jroBr3kCJ0DQ7lbY9gl9n/y+G5CNqVL4XsTPJnK+KpNGeqNWW4PBguSLTwfVG6StYxKoOLURWRUN0ozPVPgEZ+MND0ejoDxDbJCQxmOiloUNuMu5IqJvTh0F6y94mW9O4QItwqZPU2xyODjaiZlBh2LSV2rvZq71sj8/POH2XyJLGTJdfDl6uWrl3vc6d8qKvrQOOuxVBS/O0zlpYGPrbyJs1Kr6X+h7luSnp0YxCujJASJveqCYZhQ7RKbKwRFg2Z/0UAyyEld27Cbu05dhb3jvGpHxd3lQlSoPP/9d++2hFhhOLPnXz5/URVEdGksH2z2r+yVNblq3sroNt3Ab4fSJgj/GxiFXaFxISp3dZacrcbZRaD1h8k35bGYucPT8Fhx60gX7qSbqHVIS7YDF3sOftB/R/CM+VB035W75dD1/MfHMQpSgz4mGaO1BtJSK1QpdXXMrh84C+PBdqYvO79i/qQS4hJ+ZHb71/5s5dn4GFLEpf6gSaGsOcBmiaed5WQMWb55/36TouRNq159HQUsYQU9h2ZBzzCDTkTwElraJpksJ/tkrBltb/VUCDDVxtl4dKtgoHWoNkmTpPAaHvrp9spx71uW2WNEo5yOvpS7NnGwmSTjRRNmQnKc97n3jX4wyBybenDtw+b6TlbSJHsTLwjgruTiSeBeL1K60PseBF+Tr1L9GDXeHgxWgj23EnEP1BqimS5NzGGEcFRfutj5TNL8//kFOkivN/rw69gGkQWPW+vRk7zEAc/4e+Sgdw2/6WLsyjEHIYLiluxg4ukRhbyG8M1tq+s2XHc2xZEmMj2rGXLcQJV2Lg2V1VbEKat1ZaqqSMVn7Fq8qwCouMAOrOvONFjVYrCSxlF5D28BRAQKc2ar1dPaOre8la04myZuOHY+is/YMfWgPxJ6zuzx8bPRhMfSiFPm50+fP/6sLdfLnNjF9L1j9K5683CJuX75j0kNw4CvrF6nP//rTC5ydBrt1+bqLx5KKeBGrSVNruX1BKeRz8eWVWrf/q9T97KyjgxXcizOCg+SY8WUE9H9IahIoxa2fE1gnQ7ijPP1WvTfuckwGlmBvZg5KMTbeHzGnhYToyyfgZhSK4OJLuZ64VuDznrmQi08CwxnNx8cc3VpvR1dvVnMZtOHWwxjpntWs1m2G+If6/Wo1u6MmRng+m8ZMicIV8rsOB3qd0tXW9XuR7X8YXhSLvwuR5Yl2Uvn/v+Pvff8kt3IFTyZPrPcrWskdbfavXdm1szu7Of9/z/u9z3vzOx0v9dG0tU1ZdPT7Q8I+qQJMplZpe6hrirJMAACgUCAiCDCjQO4U5FOT6rzEuW8YfXWHT3y7sz3DdpFU1mKHVacgSFtV9N+EhKmUzRE4QomBN8LhzuJBZNcnDS/W3njq1FYtXksKVpzk+CunWvMwIJKeeesZEk5msouzxYfToPJdTC79ghbjxQE+4G3HK1/nOGmyxY73f0xY/50VCWQmUW4Yv0mPmf2UZm+S8ocfZPv2DMxXqgGVR53i6awOjb/7eT+T5vL/XRwHfKmKfAyrBng6ZUPQdjtbk6Pl2+/GYxsfLZBA6ulroax4SNE0wukgIF7/pqlRhtQFWU6Nz2FF+6dMV8oFKPxpwUg2DwIsixz4vS0qPUdXw8Ee+W24yzvnkdvx7xCy1ecbK5Vz5YdpIbOh3KW/p4+fUJEvv/d92wg/PP/+I+7r3dYSTgTWCwas6mVyHme9+7Du9VHfGi6Oghu31mtlt//79/f//lhxgZ4T9T0cpAqethg+rFoVPXQIc1NT7A3F+2tRCQDbW2sVHgyktOCqAhtWuP4tuPS4J+BA9wR7+Cb5eOOz4LFzCIerVBa24/BlnesYCjhiQfP28fnwefdc/B+9pub+Q0Ar25uLq+vnx8fnr8SmzQywkwDcKFxU3NCDrmGY9CA9uAR7WHqnuJvwG4H353zlV3G+1KF6HjOV0GuSFdFQMzO+s4oq8zngUZwOMo7u8PdG2L0OO6Po4s4gr80ah6622DcdJ5g0i9ZhAjKYIH8BONQ1haTC4bunvdXHxbrn3krt3hlTGoe3og4plKR5Ef0ZFVyhoCkWP1NuYGlFpXPznTZb6oWlbOdP/8F5V9evh7H8bmvbYc7rOdVzHQArWOg8hqk3XR8W8sh0A0yCuIONr/xU3mV8tQudcoh1aYKb6CXIAvbJ+JF8mmDuJQ9JtL8YA73siuI88dC0boypxqwZgN1gaVSQlUzEzayKJIJbF3MkvG2dy8viaEu+6bB5S+kMJbuMYNP0ElLameDiBGVnOXti0UMf+RPfzV7/nE1kw/6koYKOwRL2UU65apyy2qkafgIgr3DRzsk+ZzK4hOtwRkPRu4jY9iKJYpdjFQg8JdNcRxqz3efYqXlL6YPomz/3XOXz88eW9oXeqhKhh+8fDw/P8gu10DO0aHNCEIgsc9QvmxhZUsOh9viz9QvDUXM5T/hkpbNi0wed9NThoqmovl8abdt1+drHv3UaGMl0lMjPFZUVHBH+kXWao+yPBIioQQJYbvpbvm83+1GRDf7FpWQSpExdHLTpDcOppSZrjkQYPDJfRp+f/tHvGNJowB+Q0j3mzdP9/cEzeLwJrJESpHywdAmaoM4VfTixUMk7hghS8jK3DBgdDO7M8k5rio4HleEIhE7UTky7k5zRT0DBk5oCvetT8iBx0x3hrbp5ZQlvLF+YMzO2eDC83fhNJglOgY+jy7YNeQc6o1C60yTIS7bdsJMy/b2uxCdUihPGJrxVN7M5UTPo68EuxGGY0eWiJP0tRpMfMyFb+6NP76MNmcQhsp9Hi3/ikaMCMdODcPo0+uj29IawIvvcKfXoSESzGgkoxaOUkCtuKAbF7I1+tcIWejZe+uRbiZF1VUMXVMtDJdfdxO+GsHruQ7MolUWOEvpo6vhfu2xBZ4ZF6OVeny/h8HKy6iwGJXJpXvezT0dIX2B/IrTMNW5TNQP90+bzfT29poahATnv+12ezE9avjRKlqTpdn+XvZdzN3RbhRsRzRw8X76/LAZsFKX8MceVnVJbCmYji2bFJHmo3k8nEiShjdr/7Sf6ldbk+1k0hTSUBQvrRauo4GnDmF/Zf4hnh/fH3B2zZZVv2QsGKR0xfb5EW0yzk0nMUXhYLvdOETh2MiqMNxkQhxNh89fnlm7DL6wt0DD/XN89E4Mc/MfOEXsreUvRpb+NsxmacHSO6MizzfQskTENtbgi3oZJCvmOGTRNdnCp7in80HYIyKMBj6bw61K/KwZU/Ha38348HAq3wxePW/vvbfzb0D38fEHoj+MQw24EAyfnS/uKvj1mz9kraukvdhkt+/fX9/ePn79snq8I4ADEsMRhHx+mJSpusEYIAuMXFomEZYeeOu7HqvgRGGIO62KitJ0oahf5qcNVHGOm8zbzthtf0KOCb4ATOh880fOLnrz+d++8vLmz73Z2+Hqs3sVh1egDAYQJ/ett4E/XY7dyTQ8+HA4z4Oo8bGQo4nY3j7cliwdOq68A4Qop8rvJfKg65+0q6Tv5e2ivmiL3PHVHza85XPik/s43n5ZiPI7uDpJyQGUIxIYSEyuRwBoXZUmg5TLtJ2/MtWfl4Y6oiNjpq5Ir3nl04xhTiQy/KiqykoQBWbz4Wq5m3MC654TWGUxD54mtPEhofOMn0VCX7rbcH59PZ0vxlNmWu1xXCa6MdwgSmqV3khvjYaYZR9/+vz+/S0xAhirOLSm1WtzpXAKiaqMyptfKHn4iAk4eT9c/cWdbsfTxWj5ZTm/nfg/tvBpg522Kw2H4CUFbg8+hJsn92KfBgGCqfLmp2qOuu7EW3/hBNnmLfZ0IHvmxu+d0fqGE99Y6bm6vuJgnKenJQs88JbIZAQuIzDsyOdT89SkKycuTsVI8Hjn5UwYTpab6fZ5LxxNB4+fHy++W6w+SYh/b+sPOHJiI/N6XA+B6j7Np1AScG1vdKIrVYltITWVLyFWbazBB2f0Fb5Rv0YImqCX55fgzBVU2TvWj5WDqFbieDFwt56/3tyHsv9dDjr0COUzCvchq4HBxdrfctIS9ULcV2yOfjP+FjusACf7iIp49+13N2/fPd7fffjd9cVldLRAtszhfbwB63BaMXzJqrHD2pUp2G04rnQze5vVnoO+0N5WLa9KtRJfY4YZTSpAUjbTLHl94m22/Qk5aQD30fD5r+uLm9nNv149/Wkpb7sBMe9yeiZAU2zC+Tu+FneD8tMOD9oQibpogglu7btyO5Xvslcf9zKDHHOpuimML2E56bWK1xLnePmXRUXgpRQCEtxYJi39i72TCTrznRfmlPnczyS+tHWVE6Pcw8kZbuZ4g0bGPNjNgLXR+eiazZwTMb3hZECMFBxSw8zJBgDjtccf+JOL2a/+07/wRXenTyyFNgOWUXH35eHNmyvf85fLJTYAx9Mex6Fs85shQYApJCzSnQoB/rhtMLkZr77svvlfbj//sJ238WkLnOoLZATAH0zdcCd0moLEZ5isZXOEPLKl+DG4nVwkueXABsPLd2/niwt/uF+NP01GCz4KYy/LfL5g0zGmldlVgx7YYWjtJmxb3u42RN7gHcRgKQcbp/KqKcs3fsiWO35HeC4vh/t7l7UEF4c5mxJ2ROsQK6JAp0mxkbQYVa+/Qk/PRkYjfYYD9Lucb+AE74IBNlZjrVMUiA1cYNeLoS1y6U221CyDi/HI361lyZDgO2v3u/90+/jvj+vJHbttcPx4A85O8scXTridvHlzawMdo+z9t9/ZlDRl4k8Iq7wf0VBq1XBv744G/mJWcbK9PXFRSfHkIgxdhF9lSAyFOvuMdfmKVamk9WU0p+uDM1YIF3/9f3/6/X/97vpfLparp8L7M5T7Y5+Tr9b3+8l6Ph83uK/y2KTd2g6oKRE/9J7zWDgGOg+g5snwhwJVzDXpERtLsNfAjrOklpWVDZYqMmJYJ/w9HXZjUSkPhc+JRVVoDAVO/qVJAeXhI3Nnt14+BNU2BdS4Yng3oSIiL/+1ubzB1dvZ+q/e5XzGmXhsRspGajCARuHoavzBTOFtQOfKmn4kiZv/8f/9OwF4WHy44fCCYd3rbw5EtwdBHCkkOJMdKQgYR0aiAzjlaDYjAgXRdTm7eMhRWy2upjne34bTi7H/mAsDseDEQb2g7WrS/E4/mk7evpc4ZHtvuB2OXH/HV18mNPZUT0pjQqKhLL7I+svVJY/4CPmey1svm46kw/jlRTnERzXl7GbOOCF2kR4rt5P1IVcO8IFvrB9PVLwM3cf9rZ0g2oFWI+OkNpYQm0ivsID/40skZeC8D4c921jWDFJioK6fKcDnW3zO8NgM8Vkz79Lt7nrpSZjSzZNz5++9MTvUfxXe/fzE+bPI2JvRLYMoZkYPv/E7CFsUzSeEjZar4VTaI6VEsBmU7fa6md1qSi0FUppo+K8vtQ00UN1IkYhPVoZK4ZI4HPvbihNyqqpw8orEKBRK+B/NAD+vhlcPn5e3H66vxlcPD4/Z3XX76W566zx93ly7b7J74avBF3NMO/oSP8MgpT4zxoo4M88JesNRaloPHAOlWXZNn2VwnvuWDTd9+c9oC9CYIfCU8Jehi7+EeYKLmyor6sU5oBxP9mIcwX874ZD28r+oIv2HKMqYEsXfATe7rBZXM7QlqrXqYAjgzi6ajYB67EqytJAzhoO9+2Y+/u728mLRg3UlbU8UsxKhuFjqxFWke4YooVcJi/hQhPUOT2zUkGWQJ+/y3UVbbyiwCwRkWYHvhyP8sFyziW3vR/EOYiL1sCeTAHnz+TyWAAdPVgEgn9uT+OHbbyZXN0bhFgokLOJGBMgP9898F8bKO8EiWC3kNDnWbvneNj4AitUKteELcHik+QA5TK9KaVG0CkQ+3dhY+bQ+noRHuglBzZdIhA7eX1grXA5CbKw+UHaDYQTwWL6KCrkkbgNfo6eejMl4NBsO7j4RgzL0n8Y3w28eftjIQWrh8Le/++1idqxaOGiwtIL2mL2dVTq/rBYVSzgAKG+/5zMWHFeRN/egcpxQUl2yKpLjWvyK7q0eAkqYqusqEcqASm8HGFhuxQ73AyFMqmFgmXvo4bQk7mccvbVhp5Q05Jtvv93top3cbuiN3znuzruANZmloQSU/U0kf22UQB64jDQu6XiRwpYTmallIOThNj1ZDNoXXx880sDKWlS0hRFljCr+2ttt0isvex3KVvOwtKdYhS8SIH1VNSIlw+zYhotdxedrE/w4ww/TN7PS/ad8lanrWTIGKi6WmFbe/fPyuSJfks3LLocbAoeI0jXQaoAcZsGM6TezNZvIZDoUo0rZg10hhxY3sIgja2bs7eW7ORbGnO399t137zi49BBLbUrdRgPoQn1xmnIthLpM2sC+N1MCHo5ZcQwILyN2tjHsCNd+OA1gJn769Pnp4T4zr8ByYRE/CYu44d2F1aCxi+km/IMZsi9fwyF5e2K9iOkgei/W3Ye0AqSv3jwEbpPSn40VsUjaLzyyenXp2caqHGQ1nIBUSO5SMwHq8ZZ14QeP+K7yq/bs/NsRPVR8p8vnJSvGHIMzv8L3PHAnx4Q5SjAXb4xdJexvrdjhQMoENrOza38xEW1TxNH3s5JKDyTYzdjkUVVQoyLK0yMvRdiY7XcVJxuwmFiTgR9sBtvd6v7rPSP/23/9oB9mcuipT5TDKcfxHfUld0y3dpa0P+VAnFX9G5fXyq37Og/XECCDIOmCfIGyp+a3IsBp15bVPksaGr/VGz9WlPFRGTdVwaJ62bZ0ZhiDqVC3+FzIbn7U8YmsqLgIW1SAGsyFZrDFEiI/bjiaDxl1DL9itnlmntGgfzxViS+6YHC1W+1qDSwFz8ivcIWUI69OFeboNVzcLIaXnFGaGFXVlfI5fHpLPGNYyyohm0C9lT+ZjPxRa7NVK5RzD8uKAcLXOnnMbZ5YnVMDi7F2fX0zHS18MYpiKxC/L/uw8pYxPl8Ciq5XK7E340vMJGWRiFP2ugin06EEHsRQhEwJeDoQI3MR4s8YYXNRk9VUV9Kz9XL3ArI6Ny7aXCIu2faXRtHQtrWi8hGL4BY8ykqRLcCebawuzYABcKB5yiiFLRJxE2yfvblT9IayZDyeczbl4HI+JWKSs2Cu3qER+Dzs4na2rYojUIrGLtFMKK2mlTxgXplCdiNOhpzEmH5dni9ziifhonmBEUUtTzIqOly87YV+GnYuB6FaJNGrfKZkCs8WqRuSAc032+wF/cuf//7Nb94PrkUjja75bimQKBX9RSAXETTDsJpIIU+HG39N+Vzrjnsw06TqgXoKIjQdR8txRPZc21hUTADmgqfZhT8ee8b3CwUnc4OaU9zIvY5PmGMxSpWFVvJUyht/7S+u2F9T1xH1uYDlCwRcNQHHhlYHBmT9iZIs9muz6tCV0qmJMjQxgFwJTQCT5OJn97y5vOXtu9SIqeMMUUY5XxmXFQbWeI4R4ayennPBJapJyeWIWkimaN0AACAASURBVMklJA90Jwd+YaAkKW1vWLgj8Bjj6Or6RiwpTmbm2x83twGWEJEJ2NVy9fGnnxhlpMgxwfGVFMjeiIuGMKu6PEwLsKKiSKe6eLp/iraOiYG1r7NgkNQqDmTRnfLejIOKbjhErFo+mg4jFhmX52FRq5RXYGOJdaizixXB2ULeyHdmvvOMf7no7PHnDCx/zBmVXHO+NmVpIfj649NkNH1+Xj5u7rJwjrqPu87okBpNUo+FRRDH33Oa7+F20vqKJbkxSSVZuSQRJtHbwiNj49jWzIGJH+SEnF3VBqxKTUJ8UQOAEmZ90DwSg5CPV7i/vJn+x5/+8uGP73asD2I0y9YINkj0bGbAAlEGh+pA0uSK9LaO17jFff4KAWrFNQJtaLlZU2uEctICpjFZFLxnG1vK+KjIQtcn1xHvJVkkr+xePmXKyb2IUeNFGSNwUpjqWaOqsXK2AMsD2cd297ILezHaJx6Rw9p66PVhcjZF2uFNZ5dEVKraN4ARJlSi9mh11YaeLMzoXlkUvxfK2Jx/M/EXqN/UnNo+b6/eXOzbf9LM7itsCznveY+BNWKH6OqR75nFiVFCSW2SVijrBl7U2PbQMJTrQLPEiNvv8uqa8U65yWjOqW6b7TpbZ76YwSeYc3d3//nzZ0YZjjMeM5+EZoun97gtx+sxe7BIAoLzaXwxmAso3/F2/iyIwBJp1mENtlaqQVdfoIw7KSWHdwC8+O3VjtPSLC8IkJI1eMyIk0VSo+XVX1XV1zVwygnqwcZqjbNIifZCO2kTYb8KdriviDarl/S09vVu7E7fDvbLYDaaMOIGN8HmwVv4izfBzd//2w87d7V1iF+77EWr0zcGu/HOdjCwOMjL2205l4FYXYb+Incqn7vxXY0qIRuum5dhRSAMbRgLlYQILEYi28asxT6GxQEl5hZFwXuscmDghf7wlnc05/nn/W7p3f3wFI68YMZnLNJkYpONLHYixRjsf4UhQoD+i24kTS57KEeUFERmtNcAafjkAVMGw6Wm/qmz0PsMBsjgSgSawcY7zrn4eOomNsOXjrT8lEZ1FhBlRPKjohaJW7cB3kxdc4mQI8938ff8FcWT3QD0clXPDoPZ7HK9eVwRsb0UDEJCOhAIoIeyNq/KQDMcgAGxCImmVX4In+IC6bAk9Pnlm4v13WYkUdflctceR1BLSPqWl2wwwpoiNMGemM6jfeju1y7xk5FhgoK0A6YK5VB70AYJZA3bNBxrO5haesTpb5vt4yO7qRhlDHkPe/75+fFiQXAH2dmG+xDWYbn+9LeP241si5m+Ca+/Xfz8b0tMsUaMhDEerfh+UFgOgqi85+DMWOjSJKFQOVKkEEGnFCydVSUhMdzSelWJA868m7+dh1/j9dCqgnF6TED8LL9GnAQ/fSBvMTr4siV6vMfGAmH/3xW2IZFmIiewwqgZi6q4J/3hmklZZF5GnMoxBwMPbvzheDjYinr3Z5zQ4E82s8WYO3+wCJZPW3/nPPiPxAYhYhZRQ+IhbIGzokiCPV0EryiZS+Yl0N3rkYI6bJX+KlHMVax5KBNZ3sHmHybrux1n8wl7q1UODVECQFBdqAw7tMv7jTahLL88jeJu7MHi+0HBKhDYJ+fNrofu0r8dvHGWRP3cbDar8ZUMitGYgw6JtN4c97UcZX2qahLDQm1KOybUw7bMNWPdyKQR6ULFBgPreGku4LN8BC82Mn/5lAkLDwXPYChtgCXAX3SxzEAqa0cyY5EZj5neZQ057gyT7e3DB77wL1MnUYMkEIZpZlkLozSWrsKBxMgpLYO0oL85vJ1v/+dzDq4Kh8QXIGk6ZQvRdqPfim7XU41zaXRDVZu8tX/z7cWTs+SYPIOLmA8P//4zUe/4aCaPvaZRUpB5w/0YLjj2nVMXOWiGYKv7cbjAnuBwrpYGltFodHfcywklsp+pgZCkbMkNjGNBcLXaXFzgYJBwsEyfy83z1eoqKU1csR9/+EjQUZMiZ8P9wRnN+TDQqhWpXRVBZPkgxOIcErqddo0Dd+svRukqZIL38CYeDp3lMQUJLx9/fnz/23c/f/7ZHOXRKIRCrUxsqVmpSpYuaUtP9w7DxoLyd+Hwru3Gu+44U6aZO7WxMOqBWN9wxiWXM98u5F0jL7oc0Ml+9tE45Ag7sa/fBETEvRot5Cjot956vbt5t1g97IbP+83S2+/228UOMyu7OFUky+KZdxvI0Ct1UdfX44Ue84qIesxE2ZIAoW3S/ny7smWs76O3Ppo+fTvxBl7wxbhL6wBAANlCQysC+H5wX/71AD1VdemJr5IJypmeSMY9sXB2o/3Yn0jUjW/1LeU5IEQOXzZB0WjM7gU+caoGWoWsLl3EiUt6MFOsNRMydY+8TXoB1hT0QJ2Bdc71Qbgj78mx+EIxw4CLRcCaJaEj+fILqg5nkldso9xZBIvm1JyYnapNWVHugCNyGFXUZMBkPVgVpSSqO7bJaL70PN84qAGLQMuFSgYEK1YjLLnZ9R9/g6XFfymowZC3rtVwuH24m5ce55IWdQgqDeB1sGNzthnN44thsAyHl3JYcttrTHAfnVrkpZEBxzF8ftB+m3uEliaV9AVJmba2ohDmGf/odrubEpyU07bxY3FqayYIISPx48fPbGwnB3GD0ZxJ+PRp+/a3F7u/7jjZvhVGU5hlTT59ABRdFk4Cfx0e7s6pBZvjRNfWOxwiNL+csUOIhYxwHl5+c/P8l8fKc9Mi3S5qVGSPyfCFri1i39aP1ZlHFW0UyZGpPdcRpmzMJ5n4Yy6VoJ8GU8bofr2fDWeyE8vzpoSeHQ28C1dOLt3i+CWehwCjXOBtV08cIrDjrRsfNrtEKuhqSE42YNkoTqj3ias7KhwpmKKggFo40tI0tcWdtE5qUl0nZ4bf85fV++/ffv50j9fXBhKotSMEik15CdCwr4qqXgkhcV/RIUQ5UpJDb+pfv5+xoMRJaOzQQgvLwfYsMdGB7Asdc0Ka0GZDVUOZGAqNLeW0pGqZ8uwG6D1kG7yFjsjZ4wUkJzWwoAP4yVYqlgKhL9lHJbscMztgCoT9sz3CK9ltNp2z9AXb1KRAs8uv/LO5jpbwowE0UJl+RVhdEAlh8zkRxvFBY2PxniSnt7icwqKH8bGeNx4tLuaz+RTRyllXMUxs0+cNi8vxc8UvjqY9O73GbE2PikroJtQS2zab6laAlLG//xTMxO3v+M0kVIGhw8sUlqrmVqRBT3wN99sNYEGJEwu1SPrQGbNmZ4hgJH76+Jk1RPNILkGw+Lv8HFzezvwugcZEmjCwCO6PGuaeTyAHrpBjUDT+VSakpWyrpTXSuyErV09rwsqTxLcC3/zunVc4W0no4jIxz8Asl3SDLpOlgM5+hx9rNQjxY50dc4oQLkinxR1nGMVfYY9cqqbS4sU7en84D/211Avn3v4hmI2n2PbDq2B9515+mKwe9pzEotItS9Uc7ufvNsunp7v7h6enZ5RAEaLFswkx2jy/yJqgy1eNi+mQL0BqAUtTRUIqrwMJhWOYlsI3qVtQ4+6jz5ZHj3MaFy6us0qomQwBYrcry+z+DEu3kx6QmcEgIUbN43hKCElc8eH+wp28D9bLzfqjd7G5XOwvJuziuBptVns5hpljG3h3Kl9vyAKuvVeREkYJn+SqK60FqNH9dbMOulWeUmhUtHCzzoNlBa9NIUYIl7Zfqomd+8+0lcqeVbDI8MpUoc9YQdvvtpNxZz+FPfLykirYog7Ks49OFQ8WsGVoiFxy6cgSPpibDRM8fPCc2eVw6e2ux+nqlSlv+RdbDH4mQlhaC5T7Fd/FDN2NxxKjEMP0Ogwni/H+3idec1wrIjV+bPjl1GecPRguGDENRVtmy6iWf8rA6rrZVqsiiIoO9rvVnTu7vnam0/Vme3m5YH3VD8WiAurnT18xvApQxZXlDzf33tW3V7sfZIYsFGh+ZG9nvL1zvJpec6p0m8t0YrYVbWqnZaH8+evT9GriP/sjjK3H9fz9jC1ZpEedJHzltqTLjI0Ve2hSmBZ37dlVBtT4sazWCvtBWEaECJ3YCvSFdkcJo6rkEkcuhx2MOGCG/x6mOIzlC9M3/uYRt+J0t3Inz3OfU5UyLlL9cC/0NjizOKyJ8wYWRBNGS5RTlklNRDT2YNUZLrKA4u45nXo8sp0iVRialguTYaL6NENd7pbTZZ7unq9+dUFAutXfXWefKJxcscMH+C9yKz1Q2gtSQw6D9eOBlwdRIyOYU8kJObPZDPYEb9zBzF89uhfX490D6ykhhz2zyLt53l3e4gvANOU9lU3ctsRnaUk6y4hUNqvxXoVQpo96PjTCOaaA0kBnE7C54kJk4WFFpm2ysRJoqrZWhLbVVircWlhgtshOU85QfhrYOajwCr+LSaJ74FXyeQE0qAbRzTfJIEhucmBO98CIPSFKOWuCWEh8PWyWqERkUnTr1dp1d8+7u+vF+832fuciFe87NDWF2FSZXflsICAmhNkWhEOM75DHk8Eu8DgwptOcGqMM5WtHnbPjlJa/iAfMMXokqioLVtyW9lHCSVOjRPNSYsy66OOjO5uH11fSBbjv2IwVhPd3D8vn9HNuQCCaRAFiQpsPB7u77ff/5Xf/8bdnNru1bARxeMbhVxZ9hW4JhWXfNzEmaBEhqZ2r4rJ1v7vlfvrNmLPBWaO8+/Hu9te3X758sZwWDA38rUNwyrzu+7GOo0o4L31G02m7CF6XrpgH7gYfqHxaKFaUykD4OJjyuSHeTX+EQ0us8APZwMzibWu3WnIQB6cZsvudHfBKUnOrzLzGTFReVB1XeMrYSHCAtrxGkiqsgIjC2IR6pUxEJJGTWtCsUD/+/Pz+9+/Wu8fDtifoSm+0Ow5pSMvyrUrVCTnaj2nJ7J0XvxPSipmckDPwNn5w78yuJxIhdjgLbr0Bh8p/9mfuIuBQ0XFArOLZphjzLAuz9F5ZJVJVmmuf2MgHe1BdS9IG2RJSfjHZdzBu4A4VsQYMg/jbyqIqkMICohwF+qIXbTne0CxtAbwCOJfJBUuNP4/CBYmrHaGlCI9N7KJArXEiKrCClVBuOHyCenoj0zmnC09nk7X39Lj+Oh/euKP9zmU2bPBCWWMuL4hnm/XYfXz+DEtYk/kIp7ePZ6e8hnUqZ8NAu3Vxq4JCUxakUVNS1bDRBgjrfqGLK4tgFN7kRlY87r7ePT48C4TIqArZryrfEajQUsLfeC5HDBIzrAVTUjpTKm3oKy0TNbwF+gMwsooxZDmYc2nD4e5x7/2aVWScKpYeNSOJeXv3AEc+IeVAPr3jE34sOr/Oj9UbwqjHYDfNzs/Hhg9o/jav5ZuBs8aszVmzU2cqKyuAr3VLQQqhEkIsNKws9r9vd5cXFzhX6ocWahZCufg9ZDfTVeDtdTN75cx4WCuXAmgxNuVTGrge4dDEXLGmh2AdeuwPx9+e401TtShf8MGfUrSM4OoTcirhpwHc5RB5oWnhXdBN4YbNBH7w3g2IXvbzgHMJB9ilT4iHBsuRLZslfD5EYwSLwpblDyGUpQiwBHJZgZOnVYpRVfcUKKKY2AixlUCDjKFQKNbtEbAnMm7s6aGBPdJAixJtYniVuKksSEoHrEXhTJHe1GsGZt+3yI2AVPnhe79ED5LGV4EcXTzjzIXpkGWBwWTkeqc3sHi/HfPJcTxb+M70chTwHodnR9Rmd57yTeXF+oIX9GNYiPBkRyiwZAcISTq9kGun1ookAAeduXt42HphMPV++uGjMwmuhxwlhtMtnu5iwumroTN6un9wMLDK1xyK8Pt9VkLgQ/Q61wa4cfhpDThFcAAZ5NLXWNLr9bKVwShSK/LAP6u5pA2dtmWbbSxbSCXljFCR0SRXkq/dEY+aCFgsMQewxyEnZFXOQQfFSxKgbcph6hy088xr157jyTGz2LBaUlSTjOPKqJdcGZbAvP14yKHsR9Fj5nO1rtRLLeOwsvk5AvIPbA3cbbeyYBoPu3x+85OqAOk6vYnKI+Vid5WuTVWTSSOS9cECb6mEgbxbusF+dDlK/VUqM5F1xX2WhizpWszI1anGjkGtNID5VFiyjcrelwtTjWUDoVxHWAlZ7L+AexpbJRw21Bte8dcUZmDXuKmqAEKAQIiBxMWAeW5xiVH3/4vXhAVkNq0DOuv1hGPsiCJxPJzwbsyBDBOOKttztHGQmPXtqanTemgTsgPO9pNP3NBFGsHLHxBTYLfyh3i/PVnKPEYqTIvak12skciVsyO0lrxWHkNVAh0fFS+lxLAZXnqTxXC8ln1wSW7+JtxviCJfmFDzRXJPVXByhVo90EVlk3oZDB1F0r10sMx80cUsJquhGgoftwPn4kmDWk1skb1rMyT754BpRqWN1RGhES5pUSuh0u44SmfG3dLiFwHF3+jt2F0tl3xmeLFgh8khCDqaRDmGJ3OhlJ1AozAkbxGZXKvbZIBE4qVCBgtl+jgAYNEj7IFHDYr7qrh0cQCtLkG6LqZB6JB4oF75ohCWWBUktrebVjA65nGAhmxhPgGtiTljKisZEQruhRi9snBOd680gPbcklkigjQS+ym7Ppj1u5DLnNfG73I6pr1SyFl20a+wi6sXWhHPdGymd73AfkEgMtzQcV9+/vzumw/QwcdBvL3h9meBeLdz//DH35I4GnD2O2FX3Jvxhw+37D3t4jo3A/uwqagP4S1AJ9MJQbTmnFPqrr78ifUwdzjhgDR5k5RgbK5EFngMCI14CORMKXEbIFhoVs03CkcXTsl5zN1J4pxWAl5cDvefg6uLjKhlbg1wd8+qCoSc+8oSUjepJzMfBIqWLSWVDfusGPHtQRheB+vH/ezgvLzG5lG1ky+tEXCLAthYfJpWt1bYBEyFC9Yqp0S0StnVACVmhVF62Y5qqHhkttn/7m5WruiN/WIxw5tlXsMSKTCmldnnDjrRzu5+zGH00/KpsIGkBK4Ow2Jh4SL2TZeXMZFG3i0JTlG2lFlEVPscUaG2hQRo2FQFaKiEwruvmXjMHtnKcrUZKhUiDNxw1ZY9UaaiVRE/GwHlUmVMhFiTC0fOb1G9hh3ulv0MozBJE3bJmD1J+Pucqso91BBqW64GRJTV56CImSXjDF3C5OQ46/v75+cVFs56zQGvBKAU15GsTakWQyYvJ29n88Xlgq/cLpvJzZdI1oSSkU1zRP2Np2O83ryXzedRCCjl2JZVSj989+bby8ur+48fL+aEzKNjQz6Zce98091nG6Uxt3S6i7ESumn63Xj1w35hu1soz5H6p0BjMQw9mJIWPJAlvod0Ma/oq0L41bRO9u6gfjazzf0hIDOVIUkCJuaXSlfS4ZUIgIbLCnHwbrw9RxrdD+WE2vaXhS/tkPD2aGprrGlK1sayQhjzSyc/GZBHX7HJezSg9gCIBgr2/fo5NrMWhCbFyjGQzBIhsXR5JNDL0Omymd3wy0661GVi7LBIOK2axPkyohWxivpZfI+0BnzgLbGEgmo5gWo33ndKKMFUVkqglCfF7JIW6eA8txspR1ZMBIkRU3LZPT9EegQWMGcwh4HSsCO7TNMzTjtwr2GHew2lhl2mAEw7B7tiHVFD1YmzZHh01r/JyDSKSf7mLwmuxATHJtMwXMxFGskXD7fGC6X6r7/5Pl+j9RM9JTs0J/OxuKkW0/mUR4OoAGs6nn//4V9ZKBT0Mw4m3A3Yec80vBKbr1D4FI8JuwBeqggCOd/Pv/mXxfpvu4lfbhCYJU59s29Jo3b1eEJIqGrVC2EcwL3jiy/5gKuUyJZYjymuDiQjn2I6H8pXA3BicW3Y4fc4ulmUH8TUUF+zLWwsGzBHlUnXCgsBvfJQVcBkODPrnaLvgGlQnAJ4vinFJ+wZNbPczTMfGbL/fWs2ZhkpRVd7nMzgElaXoV8+cIoQeU6dVe3ZFZlWsh+qBHJZUjD1B2LWYN3UDcCyqpVprItiUJbSUIPD6BCAQrs5IacSQSFDu18rZlst4mByzi8YCYEGtchDF1WRgGm+GWPHmNayJmiWBXEdncNcaKINqvAYNJU6Xz70nMVNVdMixFQUopbQv8lTVaWacVNVpTYdJWOtIgCUuI2EapvhhLtK8ad0m28oSLSpbminp8Trpa4vfrmo6+5ZePQvrhb/+d2/siuzNAypqW7+8jXCm+vb9Xqzd73Lq8vnL+vL/Yhd9oN7wpmKUrbrgCzI5ntITQo1tpewEU9fV4vJQs6xz3xyjkJksZOFTTkjaDSWldb186zxTOYEsd4M+ShoGxAJDH0c5aSkpUUH/mDsjifyFRjZcck0P3tXVj+bb32fA6QsE8QIGJ86drbzONZjOFpsxVa0JqS8YLWNdSzkcnxlqamNVTxLJxaxaDzWd1kKGpnyJiyUs05vbZHImAWCumHaaI0U63F3NJXPDM3+dw56wjXO+uB6vfb3e16ykuMcGnolGZJGyI4hSQamwdbAdhxso2u2ohK7hndOviQ5BmumLr1XcUJOzeBN4ovKm6YeQZiBWHJrJEw6vFqFmZzuo7UEbZckIQMiZFJr6JEu0LXOmMUsY1clILDqCylJ1jlvTD+dE+MhLiyqZKckffCydieyoBSeShQOm98pRYyqlNDjBbdWDshkWwD/mYs7wR7rRL7cJto7W7Chh+1V11N7z0QEAqWMgcVf3xkRGWtyM3IDzhA0/WBmjk5MylVK6G03zvne7fLtLPjBYWWTpTo1qiYYVfPpDKkFqG5l2w1Hw+nlzXa9nFEh5kwOf9kDJYdfx4Nf+5yJU5YfpWGoXuoBgtVWRU3tLlkqWpGEcc+ozI4HeVJ92Q40Bqr5YCuy79vVPiwNGTAwT9phqXYp3sQbXw2DOwKAiwN17W/5CmEWVsaS2OrLebwfK+35rlSF028H23tvvLE3sIwaoI9kSHbF245Lh6V5z4JHRH7ythL0ALNlzmtS40DQAiJgQMyJ2CGGVilGPiPApTVhlLfwRkNOlh/u1/54kH6aV1rePpFYfp4bncdgXysxsGTfa7XzPmFppqMjAajCRckXFIyIKiVXyOC5z46OwBdHy8s3uKo3zpKOccmVyIo4kz3vNBuq2rUHkmK7Ja1YN0zTUme4y5CGnGZG2PG48STJlKneMONBFFaIfyrtpkMs+D5xPsnxQjMC3mWn4MOyxZSsVsDXBRpMjPnFBesNs/fDrcboKtZp+0wD4ipwq9u4DnfO7O3FZhoOF5ezqRxrnYHKhwIeBzOLAxzWDQfzy+vdZs2RyrQnxtzwi7uCEgZCZDI31AAXVUq5bYu0BkPaOvilSEoxKYQqMsrBI77D+/GFk9ltVl7QPhUSgZr19x7LAcILXX43v/+6mnKcOSeFf+P4G58oRDVwt+B3nHfO6M7hMzB74stLwv+Okqoa4Yjq5fS0SkVbUF4crRxnmuFFkXsqZMIqLXM8z0qIVMg13NiP3PFt+PRpf/vrxeZTOKu2aUqAVyfh2EYP4CQoKVLkQloEYmWHu17JAc9pNnfKMX6zXNUC1UAz9U2tGm5kyp7wNiUDJBnxOB5l0cBiDnsN7ivIwLg5vnk2EMBlZmu4zFVwU5FrA+TUZSDM2BktEFlJeAt4uaKxhQASoe1oVZQDnn1gZXbIWWATZyKxA7I55l76rHhJbNIrPn4TLw4fvbYQJOVZyjggEFdvt3cXVxd3Pz8SISL71TRo85PoIXWZlFgTkST0ZnK63U6G8+8u/jD4TxG1AjI2PLA/n55WsIuxLMfyUIRt6BcX7EbhAAvrLVlEcWwhdBAA3j5alvIj5RlNA36aU30XvRZXFyjLybwilGV3SDNkCOuP72pBH+7YPkjcKAnXFV7I8lH4xMdvKWW7+Q7pnOxmhkuKFSNcTtF85wzvaj2RKZTqOxV2qx4ohaHi0dlEKwXZJTFLRtqYWJupLusC1qpOik+FWQxW6uXEY++44w8h5zDOJnIczXA37mt9UE/IIQhODp0hO0NXsR1pgIbiBqxoaMLPEohFMA3PAkPh9QGsAVdNtsEOIT2SUTSw+oVe05j6LCJ686FtfZnOueKkyvg/sKheg4/Kojn6QpodDdwfL90WiLWImYNkHAjOeFidGj8rXMwrhGeVT/gqrkMuwBgdsBJbgfUByyYqa7P8lXqsD2JgYWYNhtPBJ+dqmluUaegBQ4SiF9ot6bArNmQLeubtNkEFuxg+MGA342uBkFDrRAZCwtmGQvgJb0gg/DWH5jYiwXXn/TxacAZOc9kIWMVCoXV9BZM0hKcsz+yhUEtNvRJzvLHVPRZQMlDW9oTXISfypO9yNPLAX7E2HOw+B28ypzciWtM3o+3TfsJxfoDJ4JS1QvxYYaWNtQ9dlh3rZ3LG3uaRNbYM3Dpi8xTEJWOG9DsOYujWv4aMXPGeh2YOdtUDZEg/ZdycnOs8+BBwcNN4PZ3+xtk9uothj+uDY2+7rCCmske8+J1WIthIZJxodEJ8zzwz7DjZUl1Fw0uSIcQ0spcWFg2sEoQvkUQLe9zhDjQxqeLZCMgFN9VLNLE9zuiNJ62ItqscGWmpY+4yL/ZgEolr47M5BnNcF9OKzekgZ0dRhR0c8QDq6Fm1J1yiLmCPYUWrIW31RqJTR8n8IauEeqLAxdWVu36aTZs+IYxUkDQAkk7XQaNJxn0RswtDcDIRE5DtqIQQgxYMRP6RIi8Sew6wZYvveLd6stn2LpNuCUtiZOW/tLiDYKZcK+VZIxVgDdi2QuQgpRhZyE5d5ZSePpW29OXVg0H7pTu+wp/KtmfC7E8H7CXSJkjbA3YZbb1dIEdnHjCres+7IytH7wNWG8cbcdUP5gM+BxkHObc9QsyuIB8J2jn22xhLuasMsRqPpdX7SEwkTaX0hAM03w35p7ghRqEKQ7iCSz5U9gZP0yGR50bBYMVLXXm1uHqb38GQ/f5tKkjZZAPWdMpapfinT8iw+IWKHjotmiYuGOxCBiW7NxjbOX/YM+++aOEm7OfITwZBZ2RiTx3tpnrxnk6aX8EQ1RFJoexNH1mfbQAAIABJREFU54GZwSRyJiL2ktd+s0EmlaiUFAgzthSB3TEa+E6DUzL4S0mxy4Pwm199Q/QbM9UgBck5D6UtiVkV/x4UmrJKuNtfXC6+Pj0UPqOBEhGSzKSmPEtJPQDWWwKbrgqw+CKYyySa8BPCjfhisRt/1Hwxh+b9m5vHzz9z9E+cWf1byZXyKsqQ7EJhXf1E1qjVXY8pIfT6/Pejp7/sFmE2JBfYz9EX5bzQVGVIDxMGypoDSeYfJsSI8/fhdDTL+veCSTC7HG8ftlUbybCx0PeHfizWGwnWv/rqsbIIqaPbwc3V5dN/X+E0ThrlTt3hdRAuHU6rcqw2Sdd1el8MScizuSlImtIngiGD90jJs0FfW0YIUPpEp30NOebaueFke29+rDWbYhWlRLy6jDZI86r7iuC7Zu8e1WdzOSU2rXXKu0hCQHEujKWtMe0VCWlJibgldDTB9ZyOxiJ5DRuwSlvbmAgjmEFUUKUswsp0e6RMwJAjITSS3abAge+kemy0AUvZiG0iz00NBueZxplpg+/99Ne/X797y4oV+9bVlsKicqVzZc1QT04mzDqf3PBVNgdMyGoHJ72vw/CtOe6ETizdvGXAxyyMf8sYJ6uEuz2eLGcsWiZiViJqTFxtN9KXYWmVBhm47LNVstYV6VA3m002m5J3VrIYG2IyTg4kKgtRoBSerR6lU6rnrYRtCFuTrEXobKhgpxFRaZ1J6MhhS3oZ2/eswhqjzv8ambFsbL5q/KQ6m08dWRamndwg7XGe/l6Gu5XHeeQ16+EbcT8f2Fiy5zsg3AZHAtI125/c+f82mXw78j9FR1F5jj+8DZ5/3r359cX+ycIiz5FV/hAzhNzTdk9G2FJEWcbFlKS55RS3Ts0isRhHaknMt+J/3I/dySx0vojjvDXaigo009+Xm8Zmx0dpvTi+KE7YAS+ZpWVOlAjBQFY1wm/vvdOCaqEEOqoVWgLL2FUQa/4z6WflWkJK/Y3OiFaONEpy0XgAwgiMKq564K1ygcxE3qrK6QqbZmbh5wdxNqfxXoBFYis/Rp4ba0mB8ws71tKXj/vhaLxdb8A/lPNABrxwx/Z0ca6BSG+3871gNBJjCAGpalicEf9WlBNVxyYw37+6vto+P1zMxEsEy2IGnnvZVLDTLnZHxVfBujLJs2m5gcXuxp9/+simtpbn7cXIrH5hKeyJGJuKrrVRlSBp6Ju4HELg7wK2yaUGlvaRrtD1qRNihJa/EfkIC0xIRMaysmh2LYqoCef28lc+JPB4o0gZw5Hkw0UYPmH/Dx2GSPVVYmNxDtSOyCOR43MyGN//afn+f72+364Hz6oaboL9yl1w3jrzvRUjU8KqCZHhI42T04z71ygx26z0Wtw1ENs/JTUcqMgahDPC0PvToO50v4q6lcnIT0CYipaXrg9Kb7LxABXYsnYPxc146TJwekCeAaF0GKE6FNfIrlJtcyhBqY5munol7qvZbFa1w51GikkVdzbm1PFuqgwji7cv37VFiuyey1WcSAIXfxCY2DqwA/iipYgsMMJX7fpX+f1PdXMn50Zvt5wvRg9yITCHlnfMpPi3to28wG2JoLOYPd+HC91GnC0uLM0+n/5eh0FEOVvaWdw/xMm+VBYK2buWzeJ8x48//IRLb5IuAWXzM/dWjMmUz9yqEyvVyOeRNm/rjwj29ZQ7BbzenZYh+eS3wgQxKZokJVbYUi7POLx0vquRX/OGDjH98UlyGDmh2hqbkbWxBPwscFd+djP1xJ3c/8fzuz9ef/nvq6E7GF6E/k+DBUvPA/EYN8K3L6DQZHj2BRZQBnsNwFKhlvJS16J37JuXlCxFmeQWb8LJZhpsGLuN47NYs+ZZnA++lzXKo8LVtMGSZGdFeYCGGnzxm1VdEes8eqdHIbFGWyxohApnng4CGQhmpMqjJhUr6HOqBEsnodI6p04sUMKjeUHnL1Yg7ZQlIr1Oal2dupmt4KsK0D2G2WrVwyMuJfqLS9WHvAOLyq6WhrhW3W8zzrra3fNi5ZlCOHyZSPJo8ma1ShbuCk4smhC3Iv5Nalbc8A5HDqI4ns7Z51VWyhZUWd3WabivjL3MoCi1rgzEQuRlrKuffvgJkwsZYDW9NVaLCipuaHIFHolb91m5FYkEMiBswWHEJxH40zS2iR8H5AshB4kGijJOc8XgEJoPxunQGFhIb/7LRCJpeq6eAQVsC2ZjY/GP/VjEsiSMZbhGrlOqoGH4PH78uP7wn2/chevuvFkwBSzxTflyoOlK4TSVNPnS0kqe2ICI+cavwNKrql4dccLw6t6pglieXoenvEYmla80cCgexZMMNHPLi9Z4cXl4JnsNoa4cfx5dhNmLb1/ml14Fcb886dISscBl7DFEZBTqbFo/5FID6+Wpj1sMJeZTc17NmT94xLVmLCpuDl0Rcb1/8N/DDiofHmjw5J+xp8qUdWdmGVHvXL3PipBSNV05jrtmG5YoTS4mkARvhmmZ2yS74gaPEcY9mRfXF9t9zidEooy6FsAqcLRJJnYFxQmkygBhqFf9YwAlYsOZOT+qdSV4iIqT4UkJ5jbNAQUaR/+ZSU5cHVyJGVsC3yKpDQkCji37GAq8rB/CbgvqEEL7lFKcwpWs0CrrdMAqxyRbSlRcxCF3NTdfZDBlB3NJqyugSPJmIDbWdBG4W28aROuDSXlkw//suBv3/fdvdw8+QWxlKU8mlNJGJfU63tBq+NCusmEcf80sp9yrh2CBQKDo3FkPqU2uBdYycIaSjpXLADpMphfXNxxtJcMy5XZekjI1k+8H1RGOtumTmAyeFrfaO9LxLer0WtQInUqcDDcbSqKVBRlRL7fZyNBtJjBDN1bUK1mv7LWDjgLGyI+nrINREXd1pH0P8o9CXKwM9BcT8QItqArEvZBoHsUk37sIlcz84lKRuT9Dd+a2tL5+J4EcchkEhHak4Hw+f2oRDagC9NHJxGhgGX27284czrdn+Eb2TQEw6Xi45AvLvfvxx4+EwooLsI8tvj38rclKCwtL9Ukmg4PXOMkyClFz02onvPPFy8JncYcolBIcwO2skEM4faQghNEMJ1yrMadKkBGJW1KlHekrA9HJB+FeLNySGtVJS8dz+DbwczjJbOZLivMV4cN/rP7z//2v9397Hux07QzwDfxrR0CCixtLUYlFTsqXdHMWYtd7XVN+FaKiTZQW99NW/Qjs8vqavRPebtMYCM8YWKBG49E/ak6ICu3K137qGQJgyjkpyUpdphlCglJCWiVbIgOLeYj5KFP55LdQBtKEdKYxQwBTwj+zm6qK73Smrv6qOQHXGHb8Y63K6LSsuHXXclXIi+k65ouJr+0ZA2K7XuvuAeEIW3QzrxDlPMKUYquCWFQ6dNQyk+VpI6VYJ0SWkqP9Fheet8Hrnm2ydNC5hj24+JrSYQq8f3r/4daQBzHc6GXsLW7FrpzPpqvl6qcfP2YHuAw8erH9BUytJByyslf0naBS/VQT0IU4RVNlcJ934iwjXzkOjUa6+KlufXkOQNmLSJ4rzrqoDO1liyIfD0ZWW3nVktTgIvD33sV++nbMWTolptNgMvj65es3v3//8N/vxYOFgPFqUdayEujtk2pGUCKrwrpOVyuqRbDN6OiCLoMqc9uJaioZYTnGnhDmCddi3qESOb10u1oNHb4dLb/0E23RJzdvbhYLE/ckoURglVc7V2pEStqm0yDODliD4YBfhqkUjLlbpCQysIrJp3kWd4I6E6CGq3QHFZ7Mqh3upyHqFwOVUG++vxiELi+wfBQioQGQ84IKOJCAX0zzOhGKFIkqLDAhBrVbr4LbNxJeQVYJ+SDUZKQ8MgaV7KmCk+xH4cs83fCnIyuGEv8imRz8jJmFpcI7wHXewIpLneMX8tzVUrofd9rT6s2bK4NVRxUt4cuPiAxaRBj3jz99xIOVpQyFkH3M3afsSYCQxD9htpVRlZmEZfqv7qAc3szDAQmZvJpbbVO2YbAo69dRG6tSFdYAbswCaTnNsSQJVcK/+OpsjmMIjZzpzdhf+qM4VBUeLAUfA7f49UN/eBWsP/mz8YJQ72/D4X3+LB2IZXv73Ze77//wG9fxOdWbFornLPdakcVUzoBsicZ7kMKwhE8x83KcawRyWKALZfQVcttadLugOiS4kFJgSyG34jGhJGFnWpCJmOVCd78LOXBJ5hFRhLyvS4O1HhuwMMLe3N4U9torLMqkfZQCTe8S1GlS/3cxKfJClY6rfvAYLoDBEnBMS4mgioGF0WMNql0DILTUTVUDhfK4EGoK/PNk0S+Ge/QOnGRS3+82fPyVzI5mMPzzMKSspbLgUjEMBu52b9xRcA/TycE0xazHR8X+TVWgIp/DIfuYuCkDnktjL4J4hNguOhkvV971RTagpZRUMoBTQU4O2LEPY+zF9QoFCSDiXRG5vhTiZrP567//ndVS5kfRFjFpjTvcU4aIUZWpWYqmNtFIrwKpLRdnNvaEzAa3vv8UzsL83tvIzRIB8sf+7b/efv23u+ko3WMUMyBG1scvO8GHM46LTvzxME8aIbiqm92WLSmloXP7/u1quxzF8dYjfJRo5F0MBfeVt/dmhBedDNZQehAfKyCw3NxZffQ23y0dDkDEY4YWyq6xx6D6/VW2qHeOO9sJrl8SYmiKHd52JMO6L2J8db9Kg4hVAzEqeUp4g6QDajpLlQZgxc7iZBxMrjDgKC08VxVKUUhQtkBwA5a6JvWRZ7jRvY/yNCjzpEkNTM7Xip8SWnLVxcBiFs8uH8QVOv4CDcvAVAZnqZuqI+h/gmpwj4uGwjqupF8iz59o0BeW6dfXCRmeyBARxWZea0LfZZsSH0wgj8TVlGU1QpJW+6jqmwZcDF7k+eLyYrcsO9Urev+uB9NbLuZesCXOPVEJOJGaD2zjRaMYA3FZ//ofWFcSHBLiRTsrq9CP8QCNi+qvMk9LdFQxBhoQTn0N5m/Hj8vtLHbURfjETojolxTPuby5+Dz5mlv+kj7qeYcN8RGGN4P9XTgZslYnFyNXfxv+UKzt3ABgZsLdM2HhNCpV0tyKybCKgmAfeKvwKj7N8NDGgrb9s0fIhv2WjzPhrMzAZnCVwTy2083cBmRpoLw2aIIVF8vIyaQdSZl0pYycPkjJUNXp1tBSavAJu4REKdLloj7vByOJg5O+jdQAUjxUKiWmpt5JsmJiurZemCfc68q8bKMEhsAzM5BD+N6jL8CZD8UNu5mBErPgaNj/+ABgGhaVMUnpHLjHms5hs8lKzNZcbqJhST1Sl+Tg1j3oIM4irit8hjymTLBERlVmOoW32+VqwjfGslWTo0XkQEMScYEQD5sJo5yl1RTTUXQQn+axR4MeAVR12XPk4FEjTOTyIcCT//Z9uhkL3Mvn1d/+8gPU5uiA6CAQJRqvLkUzmdolysBu+jlBUs4Qwyv+JuWqbsrr50uLz9IN+JadHd/Z8nJvNJuWH4bD1dOSMATOOlcfFvRoYyED/ta5/NV846zGahnkkDU92HMmgsRCju+4d7sZtlHSeFHqTZjy+TN/NhumDgwyCzbWGLW0XLgzn1VxdiU4C9nwac55zEM66ikZQQeyYRhz7PzdkisVbdE5U/IaBDiDLXNbAbRjsjLKQGc0JWgO+NcRfKtqgpQeVK40D+1WoNsXTohpQYkRP2q2qGNBmYFngEskRosqxSJYVElFwLF61QuRwOwFTpHcV/ZMMxMGGu7BQDsaeZc8vZu+mRTzVtdc7mQl5F06VjM6OirGyH6zZrvU9fUllPDSP/AD3fmN0DPJtpZ87Ji9I/vc+YgPZ3phgwIoRHrl9aXfAVvHRWRp5Lv3n78QseH6JtqM9fy0/Ntff2AlVEjiH0YVga+GzmQ0TIKvxtoZkqWI4GjNjzrCinkW3hpL/DA4cAfjxTDc5mxcFrDcn8MpsbD0gjOrx9VgIs0rQD66m4z4AVW4R3hPvngIxgRU7/K+Kqy3kxlpCDaOO8guekpbEbrYfan6odBcZYfFH7GxnOgsHRrjXDvjS2f5dTcLZLWItSNOTygD0xodXWPgqOyVgZQ002/C5KoS50s349qum05PlXhhkQXl3gszBxroTQTwnEqvisOGGHJr5UqGm5GqhmJVaOzSAc4LMBP9mI0ajVV41zdLV6Ykb8an2ClVE8O9kcLeC4jc9DdTGjeV0SywrqtJWtRlr0P99M77UoDJrKbjJ9M34pCo0MIe7sC4E7GL8mdvlmKpS0yW4fgSZ79dHRpYVD5/jyBUEyf49MOPk+kfcNQ9PT3//a8/sjKIzuM1aCwnKEK4mJQqPUKgMi+vmjWvrvHNeXUgzGzZDMOuRLh1Fm/m268eWimpIXzYT5LP60j3dxgFst8uanpSVN5SqrbupYWKdwJF3J/wjyFMa40HdBgMvb0/WgycVR0HitCSZzNFWU7eYDD9FqOCKCjq8LaQ4M/erOUNzrkJw7sP8jnH7id/7s9Zf3ZD/gsat+5lQZXcx92QGbslpZIkU0waGA/hJMvmJuaQTVmLMkpDNTEZbJlbC7itiogOpIMQQKopMa2qn6RwpptOAr8V0JQYqh2IjRFAyuR1nx2G9t1KR1W+ckEKNoEhiL9H2AR21GspMG63rY9MaoGgTVG055FGJMZrsgiFSXrMyikiIX1R08c1WW1abVlWh7ll2WOKSZNNs2VQ6P+twAnPVEHz9/hJiN7kpYQZm7Pln1dl27BaEddr4YkTfvzL367f3n76+InjDhYTJVa25cuymTGqVK100S29UGpkWPqw7Golv/42uP7+YuU8Tsp9KhEC2bArr9bqVswjVWJsNmMZ/gkT+dzKW/iT2zGCFLjBfuPOl7LKBo/3S3c0H4bLQ0suj7XiKeJMRW6aTEPwXOgOpTSRrtWoAtrMbHLHe2ysURhMHtz9ZngzuTAOwfF2zPktyQtGBnRzvwkH9YLC8r7PgDu8jZjTsmozWYeYLFKUGBuxsYDVokjSGjF/kyvmDAmZ1CT7vDcxMZD6Koih9QgeVJkb/nJvHs/JmJyBhUpmDCXoT+SmSuC/8hu4Yb1yFzWFHk2sUpJgYFsITTxJRlpc8FXIc0xMP79GIUtLZTzo//WAVetUMIJtbS7r1ww2GW/1cGxy6V/cj+zr8tKTJHL1oDcZ2LmM0z8MA3/59eulfmhqmmpmJfO+W4e/B8ZYgZCOENdRUQVbVc42YO+Mx5OQQyHze8yyRbgHLOukVf0OW8T3qc6AQsVYVoRU7KogJCbC0GMR8Mp/ftiO5JM61h7T7cDuxhvOxbk1GqT6swiz9tlWbMRePAAEV0F7mH5Q0DLBH4wuvMvbySCJ3UCvtXRfpVyXEXzcZcucGEtrcYor2vyq2DBzU7asXX3ihutKUTUDlbei2srEwqY1fZYxHf1S2q+0JcRgppfKx3hphb4TxzDFhFLk5jxuqr6bcEJ4RmLqEWStUspjVNnUqodZnVscvjzLKC8mVwN4pTlZdaw2VanyqiI+smlKsoFLuBfVPoLieEU0now83yc8OoEfWCZn3i3B+hJJhoORPGREkFuyMgkvQVyKU03dsokpLWJxxwZ2fxdOLsfOU11p8FTPTVIxniwNQSkLYZcmyd8Vh8pcBbPVLLwI1w+7i+2Cs7ULWIN9OLwUS62jeaXgbHpK9t7wrQaBRi/90WbCtxpSVTxYPXcxfiysS84rvMvHx8o3vKh3xCLQNGGgYWq+QucnG+Z0Bt62orRN3tYSsybmQ/zbFmC+vELhD1iseCjFeheAPEktnkxPUaFnCWhBgnAjIkCl8AWZM8aoOmbpqk2rG8q+IBdKKTOdVJolvvJ4Zj2rVSoGAiosO+xkIJYSedLEPlAaBqsikZeMI0FW8sHbuyzqGTuog4xRhSUh8x+3YwmaJSeOc+N6e/2wuchpacvxplwRaskz9CSptQysZI5UT2EkwNretAABnZCdpbZF5ZguIGwfd5dvL9cP6zob95lzkKcs4cX1Sn8BJgUgSanKyaE79qa3o829//Zf3j/v7gbLAfEwDqFgW1EXX1d2B9hhscYUgBSYU6gSjZJ5OH4/2P3Vm48kEpi3D50F7nactTniC3XbPq7U1VhtY6VcNQwEvjCwTxJyJDcyx5ROycrV7vtBe6LSA9oFW0K4crAlG2PmgLhlzS6kVtWJmiBigF7JD/OqOj2m5wdyCljo0TxDWJpx+jsxsE6PxQoDO9xLIxRYVT5BoWxn0DvZtb+zGlWZpiEmxdGDSCcDM1Py5LcqsijUlojMEIBi4a5yuC2ElghZqPXcpCtlG1bF0l4CFxK5MKD1R/4kWdzEdrUjryWDYJ4PdZmUlBYmDz3fpBQJCosuUD9N1VpYz8S1BZdjbpvK26ftN999eHKeZcGu4hoR46/KqSRcNHJYuVDIl3SDN8HTp+1NcMHRIqPFCM9Zyv0UqTTC99j2XmJ7paXs7pDVqmkb1N4nZxpMBwtZuTRhP1mXJBTFeDacEN7dnW7v3OFqOCaIRR+XsbEO47wb2AkrkvHVB846GMqc6uW5s+vCeGTpWO8myspEHcTHKgzTC8A7W3fUdZWqeCGGQhY6qh5Ufa6RQxDVNVzzzkNPltp+xmEWYud7LJjXs8OdVtAZSTAFHl/DjjSRpPww7DaoO/dRp4pG/s1kdiqjCk1X5TTi4wIJWKAbZgwphVaQKJcxqNSuKhTgkeGJVU2YYz6fXa+XAGSVcKhxEA4LnyQFCgWueBXq9MhJcNcDbS2D0E9r5G894NrccEMYs0E4adiGlYOR4aEKYjSW4mmy+KoZTAPOyZ67s8lsvPmymXwvIlYYgBH8YejvCa7WjzpVesqnyTGfJQ04Q05C5hpzwp/xud9+/WdnOvWdy/Di7RR559CCvi6xseLYDQamclG67kXkMBIeuHAwbR8jTp3ZFdOT18vN4ISLUqdvJkb0KOhmKk5cwjTODPZToDID2p6Fp6bnsI39aIRDuL/QFPwWxnUB/Rh8bFFnUn0lbTHC9EqIgYyquUYpNMRKEdSginVbBdS6obp0WoIFy8hsjIMmY6QI8fGqX9LdBXzQrBaVGFV6A+QIuGnVfDEd7itlg+og04YXALd5TOkVHir6kgbaQCyfs19kRlJyDX9olQ3xpWU4ymW73o2IhrUUUay5pCOM9S3rV2AsQWroiXgcwxpMCfHnzHXH1SjkwD+eZIdlplsoKsgxe7xdME+iUcUQOv9CYon8JO0kirsfHbPIgTaBG15OLlgqDdeOtyaQrBhhPV4r9iUMBrfO6FGMLRhQwsAe0TWCEgIg6Pjx1YipuYD2vtKjZZs5o2RT9oRcNPyRzSRlot7cpr5LQE+/nQU04WBXJkb0AKC5u2JedB1Q/+wGFl3FhS1lGAnrk13qpL8e66qyn7t2fAywx18YFkFD4cggbyG/PZJxAIojtlxWCeeQN5mwpOdJlye0xsUhmEvsKYnxJvMoV5yZ/lKAU3e+fr7zdttvbqPAnmn28XcZysopOB5FnxDiLleY7ERSWyaXWIWNQiX8rSp9kI7D8fFPz5zHV44sYiPkGC6W9WUOJrQAKSVKnieDkN3ruirMehz28vhy6D7601GiNgU55+UOZiFnI0JSDuQxD1ANNP4lhGdhGwNLzSi8ZoQexZkHNqlRvWDaiRwzUkJsrIswvA34rtAwqhOwHisJW4S2ZJBm2dMjHmtQ0CMEJfQUKkoWSSKM8nvy64A/J8eo0liFxbS6hj9VFQvpho3H81AgAEuG12m7I9EUhYac+xEtduqmJk2Cr2ZDlfSWzqml2/zPRk9CWPMNr8h5eXhptSIyai4E9aU5lmdNzE1IdPd7ZqD5nIDUGM2QGZVU15TYVOKl4mP8OD2uKr8kcoghZxpybbe7Pf9td0RIe3PJISx1l0DLTpB1ZWWwm3xhY6GPayvaZ0JPbnNP3HH2EA5K5kCwoPa7//r7P/0/fzY7rw8K5xKoWaQnl2/1MPRzBEgd4aMYVdF/bTgZ0xNLEb03ki9KxGgxc6fvTOejYIUZmSMvmCA7/nA/wiDLZRz5YN77D0RIxGocqsNM1NdgrIFGY/k5EmdcHT6aLqKbIjftCiY4ju7Hyrc/rnPmX+1joVOYcGbcEboYbfyrIpSzsZQ8SpNzfqYpzgP5eRlWKdaIP8qPVmSoNCoTe2Sj6RIFfbreeS0GFqEiTrrDHTYmRlU8rVau77Tq+7MVPp0QtGyCmXGohF6BqPMrjnJ6hZIKbcI2LCE3Y0+rDJQH1AAOTizcVBhSWFT8JZoZibhKCAU0Gw0uL+fjg5OVS2kSBpVmaKLRGtxS5txsjKeEauqac5ThCEEEK+TEmOlgdDVymg6GSJADwXRKM7K6EoaRxq5CCGpYXgeFPF1ITb8GkG15afucEEcR++6mgbMzcKQd2FbOTbB+cK+GchxTv1fEn4RfCl0aSOR+FkbVKSKnGBC0v49L+Ribp7FdlQW8HIRX4eBtaPxY2ZyXulcZlNfOl1Pmed6bLoMdqhd56i6N/fBUCJCOfXlKtD2GDBFdC86oQJ5YPSodSo90Wj88z0B5LQYW28nxEGQI6+EWr1jp2l8PoF8KBAPlZa5kGlUhNMoDcZSB+zIElWKFytL5lQNzGEebzRo/Fd7KYvRX9kkHvrt3Mae2G/FUUYbFQj5O44QZvvLXo2ZkD3wp0naJGSg2KqYd8KbSBQOiqXhdPsQHt563C2fb6MxgYmw+fHq4+e56+edlXeiEHFQkqStXpTtE/gChnOxHELMsArrsqpIZSojmtBjCte/Hvp6BGH266M18ArwPV6PxrIdPCHO80QeaJto/M8xwoI1GobMnWVrPkuVwPzzm+0UjknZsJE5FeOW8KhuLjpFYsioDh/w7XUqJ3CacFKzk9yOSxzdBeHNiFpVwo4buSKohq+ISauFfdYGKeh2TFRE4+5ei12JgdWTMQTUsKrNnghy4Vrr2d1CpJOEUvC5B0zIpY+bENdsJdlzL6hceSDkZBCrsVpVeZSF3s3l/gmg5AAAgAElEQVR+fLq6voY60yo8WJzWpxYVTiqcp3v2XtFcLKrxcHA1HoyGU7Ov5ZgGxXpEDAEu5eS5dEYl3d1NmjzIwex66vpb00aT9fjx8bf/5+/u//xYEzqhKLBiQKROozyKwyfTe8bLciqhjHqN7gKD2FH8CNWB60zHw/hwQ6FNdl/hvvrs3k5EtE50QUeWRSGhdYjr5ute9sFgupl3s66i4U3zWork0gmvBq/FxjLiFA80GWFnvRS94SRczHHy5DZNu4bGLKLW2blURqnySjiXZVrMSdLOT6TghABBXMBe1Fll7alI+8UbWHDEGFWmS5g4OxtVWRaZns6mvPi9kKQTNRKQ9Hhy0xN5UbtVyHKiXwof7OcfB6WUmER1P5S8hcC2Lz/+tHyzYSWa5b/Hxye2UrHwB/1sDubUvgV2FUfaJkGuanBYZ0WsNCqkMGKtgfResDBbd4UvjQs2wWQ+9B+D5NBrn8P4HIeATE7FOY2l4lrVawltIFOrUCweHeanFjrgIxcsFWPYJFTgwZLzYogx5YXBVI2aYBZ4vjd1p1jjabl+75RlWb+aM+OLRX/sxBHYILaUreVkxAO8YA2UFy6kpmheiY2VEqRmosiJiMapxQMUgllYKVJSqSeRVSXpDPQUeqr8UccOFJVoyPIKJ08VioSN8aUUxg8v8WsI6JFFr8LAarvDnfazpJjwnxWf4qJPktf1BhTYal1rn67eKcZGJOHGBnhxET+adwzXEo02Hjjr+/vBSM6GYoPVDItqxk6q5MOvdJAfQ0DESlH3sdqNlOwxUHuuq11czqVWmPxdMLhkdTWQcJ56sUr4+Onp7W/e3v3b18TqSmDWsLikw8wElsb9Ki2SwO75JjZoPCwqEBvK5cwYtuKNhkFyeowX7O+D6/GiZ/QJuAzLDEl8kDGYB+4quNCXgXW4Hd84k6dZInhJ1eyN5kqPp2KZzba6z5Ci5V/cxioSZJons7VaPVaN6lLIMBOpYIiXaZocTDhOeR1xufSXexBasg7Rl6MEzMJLM7Aj6XxRahLkhke9kJSaKQn0899gLTW6nQobqhrLH9kKev4VGljRC7V823T8fKOKQrRSbAocybJXX30qX/T7qN/pPD2mtw+qI04C6jVp0rKWwQC5zJJTZxGKoLBkxqwf5OMCPP38+Pv/648/Oz+PWy1cpQuFMDPy0iszOxNpWtr9L00jkLtMADojCSBCtTuOuw4mcUDRSTB9gyfpRN6riM1pE6AEEoZTJ/wqJw2QMbsdeQM5Car8JOZYME/ESbGxnMFtOHjoQR2lzTzqznSWdttRcA4rKzMRRzDwR/IPOuiwkhRNX7FeTJgLhKmx3qO3z44RWSIMM2FNzBJ+SUufs4Vf5F5JEZIajeha8l6FgcXCzWrFV8DFK7uhqq+1vyKOiufX1dlKpPR4bO9XUF2fLMNAXvBiHZEId321X1Zup/HQXkHAFNURhpn1eiHWIS/NyFwrRaFF80RnukIn8MTYzwLw1+Fmt3SmxQDruULZCuZe5dK8WNcz87Dq6VJkgGSMJ0Jh7Z+94WY0HfRroNu3IAwJCeEHI39EMFHsKo5aZFmW0zGzIGLBlKm9J9nLwc/iMt8Vnt/GqiQI4kRP6m6KXlqv3BQ2psxU5HUUZDkk91qVCvzrqUOKGFo/C0nStLPaNPWSabgETSmnWzer5woRl44g6VUYWAlX6ACMqqQb2C5zak9Vgrpwk9BQSH/ZR6g6VBoqkVV0iRqgAJdW7Fl0BWYt+iqyTpie+kL6R5JIRV7hNiGKXmFfi26FXORArZkOJKkwaYsJKko0prERr5gHg2D4/PjoTCQGepKT1omL6a9hp74jimDKYkou/6UfQuJ4ZCiS5eQv05MtB+Zbm8Gby5gF+60/HMwCorDNQ58V2mfZFiZlYvb1PMhz6Esezm9jVfEmJc5oSfrL3KQZ1nfKzLJhblhtDSctKMCAeubeSfEf3ikp5yHJyKZF26XIeUg65EdFSkIS+a0V5ssbWGbtbzqVPZu4qTCqLLqhghX/0MmwhUnRYl9YxqdQpiF6ZVI/q5W9ktQWWKO6NspBwP6CJfOwlTL3kNpKZeShDB3P5eThXCK72vYr1yGOgEDOZUUdE7MTZur0lxLAs3Fite3CE5UfLIcjZzIibnsUZqmsOafAXY0ncANvH1x+x6Kgu1u57pfgZsQnfVIhYmf/9FRTE+M6p43VTE1MFRxpPVVnhTOB09+NSvhrsrFUbJRLNDIdiW1aXNshMheJU8AMdUuwUlg7olUtS+DdihlKWouTg6P5Ja7s2h/42aJ+0iijHZr4ero2SzzGqJ99Tu+zRlWnVbIU1D/Anb2mqNAOsZ6FF0iC2gFHsQUQHQbnUSibKqvH6KjjE0RteiXnw/gcNqxsM1xUFhv55LZB174q2R06bHSSIJavx+yb7maTcLr9tHcCvlycX4xlCbMHAW2SlsZ8bKzr8JXtx1LOWI07tVBFOhtYGclyIzdqCrxGVSAKDj71ZvmZgQ8TlJ/22jjDNu0IIUmhZDJe8jbuO6HJko4zGVhwCuOAy5CFpwqjSnnIIfAc/97f4e+W7W4qlohIU8Hz5Ue9q99VMdDhKP8jwjouisd3nI+s14dJ7SGdy9vRlvY5rLYdQO1QvFBpnRcOcWsr7RlVhDJajy/CRTKoE/hYXbihecwwVHStlVZ6ZU4s0ygx+yRc+FmEosjmhK+GnzA1XIQzDL+zmH3V1KR0RXfPGuf9pPuxWlATk6dqsyLQWiyg2rHn6V0hKx53chuT+eK/QpRKlN04jegtdojhqDawhxYZmkTiz9c5DWQbSpQkSjZ33wkNLIiw2VBVtcO9oaH/fNl0LZ9bBhyH5njyNRzPQYU/65+POfkWm5WmRulX7WBUgo6Vkw7jRmryTejvqagDs5AtGZWtkt4P5YjhzCZwzUETBqOQ+KPyAtBJLcrne/rmkGJ68TvjgDwDGeWdFcmoymcqR/otWIXp0A+p5dTUwD6pH6s1NTGhxY/mkiEvhnPKz7h41a/i70xEEarghZCT6pwizqbnmFE00p4tClRZSlv6b45CfDFGVXQ3ROniZ3P39WxgqZcqOlQEIn65G6r6F5Qm4a7KN8upsU5wXHfvEMU58110hQxUwes5veVA7Bl7R3DCTWGbEH+2njaTdCebo2MzLapp6230aYOUqboRfO7Q89kcvh0MGs7CriPOhqC6+v3niSY9s5Y3Glzls1JGT29jtWal+LFOELuhQf6ayNTu49RGWQvkvo1dlQF9JBEZSOZWqWqepA/qnTBBeGNt+SWzkrL0tFQZXIa8E2KyBm2Mc9UJ1CmfBpGXHgys7Iaq/7lL3bqD6gpip8JVUyIbnwJvX0VX1kE7bZ6OxyoJOy3qauhlCtSMUKNg4WL5kKgG+cvMaZ4SbJxYlVCyGtZwNLzwV3e76/FVZR0LRurEc1LfjAURaZGoKUrVKadDxWNMVTUBENJmKY29Ds0l0wZZ3XXvQOJjXQ/63I/VnRTTUhVT7b5ISK0YkCt0LAk5YJmHkwtVBpf9bSNVytFTjoUDWiGJNPCam4P8l0moogo6xc9ERPQOdEllvUzdrAXQFhpgXhW/DP00sG1Dji9vjCpQw5A6lr4AafWNM2/29WXOnhv7G7QrYZmMTpW0ZB56AT5CgOnfM7HDrokyQ+vGPkuqEmcV5QuDV0SXzzB2w+mii2LJEiCQX9tCobb3ND2YyKma/omQZjlSfa+sel0Tz7PaWG/CwWPG117dgtPkKFOFl7GYihYQ53Wn8A12o6lDS5Q6oTUmswOM/qsYqvQ744w4CpkSV+WlSAUvJJg+7b/NBYjWPW54BWtgDORxJZBs9SB1kg1VgKuzABLYFjfA7P2UGwu0zUXOI0DGqDLUWLM07byoGQcJzc37xy6hAi4bNiUWI4MxoyD+J8tKu161e2kOM5JJT7SGsPSQo1qIMsPH8c1k0odIssuBHqzAVEHrCZL7aEoVWcpTbaGI6RFtpTZ08q8vdvXQ6tjGGj4mJwtV8aE2vTUpCVdLlbgxsto5QuSd4sQXtEL367KSRZwiqtQohQU1g//EDErAm159bbzCPBa/k0w6uTFYZ2Blp39adYoNVax5bTabhHev5OaknWfrqariBV2YDz518rFfRcnrShf1BEUi32YIOnxZmZP110Dv+QhqIxbixCpT7spSBZQwtYmJ0+HkYON7U52KfKXqZRcKS5iIcIntHkXGqiC9PlkFFdCAiuShBE89iGJuTFUv8nU0NTF1amM5x/ixWpCiwirtT7gak3Hwq9wqE/iDkudMELpLh+E5iSjgMr4YpaoQgbFFzxRg9vIYMcumt3vBVw0E5iQn2qImeSSBgJ6mRtHAKmyoSoIpVMM/KgdamofDURi6VMYGwp/UpWZFnWONqgqw/zMZ+TEv7uimwpynUw25h1POi6oGfVF9hTKf9X9kuVrGwDq565e5Ro2+NkO5yh6t4wv8jV4AZE6gZCqXPbGsG1X1NB+fG/uxuqwVWjFG2aoMja1VK6KNZNkYymdwX6UUQxYNenn9EHM1pgQGS1L8mBL8kndKzUuxC+EENVeBAxCFM4pN1Eqdw0EXAz7+T8pZL1QVwP5DPcKN4w2sExlVvOS8Nl6nU8VZKFNZhQkiwCrEFfgjT0NF7llIfTEkHWQEdhG3XCYpmCp/1eRq14IOaJsQvOBCYV1r4BByqIxqaIFRrYatDUWPzhZ6oCrQQ6o7QqtrdTeQxsa6CQdPPe7HSiY2mz6ooNvCJD2rdWXI1AaJ1BzRsooGNyeDV7ZYleGGHM0V5dC/kDSTVlHCkEVmz+yqbiJcIAhdPQ/wYAmzhuMxLiuiqB9vT1Q0vy4ZE6RnptRha5EHZ1qUzhSlRVirJuFEBykKbUj4P9slzZZO0aEvs1VXBnTs2a7oSuoZjXBCyW/TRBV1Kgg5Yi+kK19toJS0srcknQVtPA29YbQDVDvNxBpEJFUmpOqrVzaD6/oPV+vNxv/Zi0moRl2S0ys1GfgdbKxyUhLNXM/VDOr6WzjGNJgR+/riZ8tVuuws+F5oMtICU2tZIbJMyZ543wvhAkTIUn+SuekNbh4QAknbufLJ5U9QQkCl4dAbsgj4ItYVdL3aHe7lPKtIxagiGD0X+8ngPtaquTCwKmocmVzsYLsePxJpbXV9takt0SlThJnV7ShgPSNfBn+7wV2Y24qs60RWL5VelpKIsdisKAJlrLEE5EyYzs07XZPklfrcUt7cGhgHH3Ps4lGEVhKVsTJf5QoUHvK1C5kdHkG9Xa1/9fvvvNRQ7gDmJFWwsfBGsh/LBnqxkDJWZAB+mn82UOzKiFaRLivilJTDNDuYfZQSCTKy1Ae0ChgiraJgI3G1eHGlJLBOTlgFvTXJhl2nIEx4pIETbIBjTe33OxTWeDKTvzUUnzrrde5wp9VGhmqan3iqKKkM3dcU7jHLpoN7RNcGFKqodi6xhmXmeJlT5b+jdsKZIdfYm9ak9VgQXvXGsRxZ1VOCCo8g1RmqnrHVUHLI0ofWFdKqFncy0xQ/z7Go1rmIbWuMgBk0Iv069/QzDLrSvrnbLf7Lwrl0BluZNduAsW11G5i5spZ+rJQONVUFRLuG5JBaPQDf2Fgpope1riKqjYC17EebFosyMBIrWrbdJf1zMsLakVIobRhF247lWCyCJpZVAUv5o34F6Af+ZDqfTEfbzTLwveEoXs8qr3Pi1B4YcWIKs+AxqnC56Szl4J3CTZXNPd89LxxtR8Q5iDuOJmGrEWqGRv3c37YxgDW0xYOmLYATlFf1dIL18ZImGoEVJqjSaegmmC+mTDrNnKDxnUBGbobXRJjhrDGUu3CspLM6sSZfaeSN7z/fvfvt24f/9jiSs18bejxf++RPYmM5gxtn8FRPmDJXSD9bj6u7CEP+fBjtmI1owQxlQx9dKXakXF0k1tSM/8aE9UFVDLOX34gwYHUVHnVE23rpQOd5e7ZbjcYTjmBfLx+zg677ikAvvHidQGLV6WBU4WYzK4Akcij1iZf/GvhRNSpOo6sbiMlndyABjnLJS4IMd10BrGpgHtc/xtMJFVPKWNWkyttTojtLh3SQsE50NeFR5vJHZFYufR9oqlSkpG35Yv3KZ0LxfP3r129//Y03cnUytcRkWawSr30GZ+lgM2BjHVYxrBVnknK28wR5CNkmBZxSTLgWv+7ZVDt9mYiwMo5ZIxfWGsYKV7taHvo6keI0hAnkV3ZBmPRie8KowqTPILKpq36Wra4Gzn3PXS8ftuvnrHUFV15siZAGxHLzujoH7uKpwqiCrBNtVD+uwSLNaIKcUPNwwgnUhl5L9KK5lPJofjo13bEDPMctm/acuoyogH6HQEYn6Miy7JFiQ9sSdjbOKmGn3o9c3ZpY40JGgbMRx156BCYd6S9Dd7ebv58HXwJmCp1rCiQnZc1NdasLBXt6fB4E19hYg8iPFbEWGous7QmfPRghQAZSrDfsa566pPSgENaSRYa3IrT1InAE+YDuQNgRCK2qmgZrVzbLlRqflLUcCLisPOCzy4ovr3esBsZRr7KUBUHIiuGLGVh8bfd6YrhjURmrFa6xpwrCcFZlmfV67rGwXw8xCSUNg1ckV2RXhN4I/tlmIxn8r3HNK2HdkTeqFJS7MLYHJWqpYtpRHeCenIXD/TCyrtvVTkvTQNrbRzNTmHV3scYV8a7FqoRZG38n4XHajvFg9PPfPr379e3Pnz4zAbxO+cePdeOM3jghsRsMa0/MlZQ/jXcoqbOKWSNBcQEVMzv5V9FN1W0M4US/EWFo9YaZ4ET4K8EawrBMjYwdloNPeh3mlKRgG+CpGo4no/FUXVa51cCkgu8HHrZVEI5ecA8WBtZut0toOv/NoVGV9AHG1vnpscUYbU7MubDQTS8s2AxljKjcBI/c0iYhTa6XJtCWvb+Mcoa3QqsKbV+dH81xwASBQm5gR1ShoZTjz/z5b0bLP+0Xo1lT2fp8WmqJsx5OaW4MOeYuHLDnLK9mVkyLkZRS0Ffi+uv63W9uvZE38FmDDzXsYdXWxrMQlGlYzF3nKfQJjnUdOk9H2t0Z4D3cKj/sh0APGNuAiAmjTqlsRtxtJbrW+OtExYwVqyFgja+XgilhwrOIabREN6fUtSiL3fc9lrNwWY2n89127XslO7CBjV3FP4PRVH8xDxZGDPZgtg1nuK8xqhLsyfhPUl7VjXiw6ElbwTgf7VAkRpYQJrfQqHJWqgXOR9WpMQ0mw2AcektvMhq1xQV/WukjZa6y2fA3wSc8f4HLHu2ILaCTsT/o4YVKmWbtK2rBFSZ5FV7l7RFSG3VQOWZ7lpXXr0tFr7MgaEqE28F6sxzeDsJBsF95s91c/ViH+vaUBOWJjblr1EKUh/tK1grDAQ6tfPEXeooZCPq2w/NsFKteFXGFxBSp8pesbFqae6470EPICxNR1lghCcq0f+PfsnL5NGqxmsXYYQM7pzGzxSrac5kvxmqguqwYgvkMx3nFrpoiqR2fMarMRnX+AoLlPzaqswKIQVolB1XpHSnor5rKh9GJec2Yf+oPoR0kI7Aqu7AOEVQGHsiaHbC+SzHaMflOxaDJ7ej7/+P7fej1TXYKT7kruy5ph+Gtsjct0NNdjkWgUGGrhJ0rXVkqyghdZ8Ty4KQfkZDm99ihwl9hr8yoejW1pjKf2j3SVYWG1vsHX9ruB/vJ74O9E71Ye2N/s1k7A993g9FA9J462F5A2wt39YqYezAFGdMKM6uqvWdML9KgHVpMPCM9Najk/VVetpW38k57nOjWYIqzbPlgmAZdccXX8gtB7F5nN5ANaSwGuvsdMxkuK3Y4sIF9s346tK6wq7Z7j3/quCpp6ct4sOA+3VBCTk9JiacKeBhSZkuaJexT02ZJRmkxYRpD6SBPXeyHyQflekyIB5B0o/blC9Bg2xyU96lekHdPu8ViHvJFxKF3wII8o4wOx0LMXQGhudWd248e6wdKVYtZqAo8ZzgbhKsGu60KQj6dDj0yLJYwWMYSfw65n0fW6qmqQwVIHzwG/vXvr7d8zfzTLjtRsCAwWYyWA5cGyazwxnH3Hv6r0QNndUR2lbGxMpNEHwRVcCcR4EbuQgQ2FgYW/17Yj1XGD6FfZKV6AFZw4LTJyl9kVzTbgbV9WtQW0E2nQ2Nj71sAO7YIZNCB8r9ekKQp6XnMOQQSzkqMpcl0NpqO9ps17yi5AjEQzxevVWMDX+CdBgpPscNdVEwcUgEUxlOFs6rGU3XIOFKA08i10ornSZS3lhcb7EimvuvHL0zKqISa5OY8nLDBUqYybeplyjCGdp5b1TacBrzrTK+mFMtU6nirI1/+6LQPd+Wqg9VD+yrBgxpKSrPLU0uLaiL2kL8LJhcjv6ddAcZWqEZYkSOsRYDlJDFhLDOTsLdtayqAx8nlfOsJCQ1YPj5987u33ih/UARHnzGJ6PtyQDSemSObbA88ahnaeiIobrX5FQbrBSJz5fOLTwkRL+/HqhB1obh6IBTbc/pnw97ovUBYfMy5k/bkJh1lX0WGGNS2qNB3UbAzmx/GXBCuBXIes5jO8UUaUZjYaTWcTIkjsFk9bpaPh9YVq4F7198yJWBh1StnhfzLNrBgXrL8Bzc7G1Uxk+UXOOffHJYloP4e8pgZ6sv0mgvC6FJnirHZSwgoSeqVjvbA0sHTvm5aY7nbPg3WniOLgG7osnE4zcMcDwarx9XN+2uWnLPpbe5hr5itXIxYc1n1cD/tg9J2gNqVVkagx7yNP52PvLAzl4oc1VFgSQusVbtKJBgBbnvgUhG11XNGd1uVty7kP4ab5fr6t1dZa3UQDAI/jBZhMSBFrw9873AtFfkSHWeNzbKgim9WgC3qFYh4eRurmmbDtbYjpRpe+xxlMB0X6YeMgoh6tP8+bU/kQQ2lTabUg5wTJoDMLAWqaVWJCBtLmMpecAkbHh1uQ+L6+YHIC4bybGX8VbtkNTCbUXv/MgYWhlFnI6bUqKrfU1XLgV9k5qmtGRkSkbNKXkTM1cApoemsA6mBnkw29Hce5ONLRiCOY1ZeAvfa3c85GT1lP2Cfvj6+fXfrOe1MByoau0oNBTsOZ1p0nttj+GYoTDjlb8PhZAAXe6O8sU9jDoOx2q46icQK37LtzD1kM7rcjwajr395+O77D/4sZSb2o7cL8GCB2hmFxOXBxgq2DukHOGRd6SCxW4JKsaBoLcClFIiNNXBeYD9WCZcOGYIsd1cjh+DsUoTDoleVwfytqCXdriUr8o9KLu2rFhAh7mS05cgAC0bVUHZZNdMMVeyywrQazRaT2WLHKZ7LB3e/zUFUycZZtdl5OK5wChdyGx9fxsBqJKtQ4JxGlU3fFMg72yMyASvCg08TLMTJgkZarpd5T2IBRUZt5lWpCQSjqKnI+fJ7I4VJK3DhuAzai6sZgy3rOaBBm4ftxQXbsGwwRhzmB97qrI991XrQChdtsFlxuwGQKO4MsobSeYzu0Bv/xtnBPsTIFZsDP0u+yFFPMBBOFkBIiiwCyh6riMOVMlysWwB1zCO9i7YXCKdAshpsl7s3v7nB6E+IFA+WIgzH8j7AThJnV6reRfYO+ZbAsbmhukIQIeayqWJZhrN04NhZbawDEaohlcZqw2uK9JQVcVgsKzslLB0RiVxPJPQI5tR8g1txLMvm8YZzRzawBwHhrFAWy8cvRF4YDov70TOrgWYq7MKP0hHYBZB9HXihQtNQo2BUmWNqzuCpsqGtgfSTZZ9ATHUcy5wUvSRJ87trzGbhPhlvTgV4wEo9LgHmcvaTug4L9F4+bm+wleC008tx1rOVpUZZrC9VKY9zc1Lrbu2NzTaAZMIzV/ybbVzdPS6rxe3M1dVVeIaWSkDVVeuWF22uUt0SLQLmmNwN6jG1Su2/YwAmdQl78eXvny9v59klV6QoxMbis559wPaS1Z07H8hxFKVXa5FTKEZZYDMKru5aokEKzmpjtZVpdWnAh1Ku9pCoLE60sZ1plaKNRa5H8noDpQIjzUvJPfoOYMlqoA0wNrDv8VERNWY6J/4CLiscV8x3vrsjhOj84oZ4DAwhVgPTbwNt4FaXKVpt1SV7y6nZ4Y5RxQeABhP9gTnVG9Z/CEDwRAUUGT1q8tAXHVWQYk0dBepV8rVkDJvh3YFvxPifXgwD1ui59s5kPtrmDSy2Ya2fV1dvr5b3j9OhfBJvLtNTymDq/oKZHEldBzkhaADtZpb3nHCMjdr76xwdLftYxZGDDRxz3u63REiSijRZbJXRmF2vo8CbTTrqSWCIXX6C3t8v+Tj8OWCre2iiMIT4y3w39MJg8n64ftpN1rPR5JDhaatNt+q4SNpdfmMmRfrfpnA5iExqSkEmsXArZ0IPBrfh8KFXl2cBiz7akFOsZ8+6Ys3qZ5gsAnw0ixUAwKy8GNXknChHqOuFNmmhXFZ0gpXA62AeT6YSzmrzzDtxoSa7r9jYPppcOMPRfrss5HZ7ZJ7tqDi64TO1CjHcX5tRZdtpx7Cga10EBXZ1W3VI2qWKsiheXSkq1Gs5xxVqn/iR0djBSBiGg9nlmD3ajjPhm8HxDXNaLmAmjH368njz4fo+vJ/FIx5GqKY7AUNUp+AtA2+MrRvj7JRTN9haaxAM99v9cMKrUjjc4QYM9oEXEFj8OLpFQxurRaZ89YuZyakFqeVtF0UMXzkKYzqdjSesBe9XG2J4ebv9YipbZltgoKgUl/nkBPaVhAXZ7ThoNrrg6uj/b+/NuxzHkQRPURJJ3e7hcVRelVlHd83sbO97s2//2O//BXb2j57Xs1M9VZVHZJx+6j4o7s8AieJNkKLkiq5iRspJEDAzGACD0WAwNP0tHXPkrdcb/6HZVaep7t/rv3H6qS+8VB01mlE96e5Vl16VTkEK2l2S0rFkrfCEsRvi/MimJvEmn3WJ7JkJp2Cykj0AzmzZTGriL45gUBzU4XnHOhLKi2MI0juCDuBy71hbIPAlS87iLH4AACAASURBVIEt292sV5isUrPjXIXVCuePxvKp3bb7w+v5lBMGI/uZUgtmJbLg2GzZLbvzDAqWUhEa7P7TPQB2X5SlKkvcZLHynOm6a4rgRrKGOn+W5BcOa/pq+vrMr2wg7vOznfhtiC+1YNpYzqg1VdvfJGBmu7ltxtXTxdNi9PUVId0rdx7dsvnFFXRs4m2702UT/nwy7jlJE4VhnUtyCVEoikK5FkYNWi88y7ZQguiKKIXuyF5O1t3spas86gGhdRZhU7wJ8goWvQOe6FW23XY7HddttxFRsj356WmKVsWepIbTma6XnebWbhvH698zGOBa0BVRUeK99ITOdjnnbA6roSjaOjI90D+bPX/6wRvZA0NwSfKEzerilSEQk2x4hrk37uz9vOU0uzfdyfuJXfR5r+1Yp9KxpJb7RjKpQCJPknWJLNkJisvwt14mh/AJ4No7Xgj+Ube61qXII7McZRrMaEX4WQFEu7Kdju10l/NpMuACAGARH1GoVmHvDgpuxg/d3hC7OAWL8ETfYx/DMYJJot1xuz3XPaOChcxi+Q8GYcHi/qKUqiiTLv9przalUwqP5cUpR286YvWlDu465XIGpqzkoyRmOtANy4LtLSEcsRqwOYv/bHEnog9rZIzSzZw9JvMGq2AbmU3T4VRNRRix/EN0FtvtOJ2OGjub+XjScnuzxaznVtaxTAmqXB84sV35TKNIMOHW1scuZNkt/6EMl4ShapVNpHJ61xIOyZHehlpXpEI05PWbN51up9UW6aSZApNfv3rz8PB4e3e3XBJucLFcWMs138CYstqR8gZcVOQdb044YFq7m1bfH79bDS1RpIDf7PvL6abTcDcftz2v00yhMZNqTd4O+sm+xDbW+vs/fvPj8u16vv7Tf/nnf5v8j8bsUKOsO3SskWUN/Oak/rXCTIZkEZNMh3V7C2V6z0wWoY9JVil58ku3bFVUNfAnv4aG5InpWI1MOFbINGAySpGXmKw4yGA2ST+PWbJtMKeL/Tv1ms/G7bajTFljVg9T84QTkT8cGWMRnNQW1QolR789rQULORX4VKElaqWKT0MCVoWJ+8e9OQekp+ndSdEyqgdKksxCWb0mWuQET/pj/QSA6wBpOJ7jqDZ8lMgxL2gJne9lg1bTsXzWYkJcJlL5YjbDLrNd+8zScQhmzwKPsvu2k6HfbGNTabuu7eA6sANLttl0hqQhpdXpzZfTrmNsVtlRUolCkUQUzBBIGXWUzYOwi1JNLFhS+uab0ae7+07r4KyWWnRfX/QSnKuKkao85cgDqJjWWq3+sL9HJ7Rw/+LFDYuEV1dX9w8PGLX4B9vRtBazxfTpyW367X149FTij7OMpIMMp/otb3y76m/6WpHaNLetTmP93u9qsZ4i1DNbfF9x4XMYRe337WX73Y/vf/OHVz/+P78+3N69+uHV5/9+a+ONX3Q9oWM1UCStiUE3KAK2f5/Jj30G8787C2VR3xNGy0CQYX7GC3RgVjjPitewijvyyJ1gC2TDsmBdvpB6IorjaIX3etvtrpfz5fg+lQZZDWSbUsIHK5mZtcXNeN3tD/F/Z5thMoNOQcdpthxUK2I9uJ0uOk84Z8pYDL+ucJ+qVAVwLly7kib9Yi6I1dvR6ZsIx0xl/Iup0LGEnqTtYDELSK2utZ35aAXM9nanuZ5tMAUH9HImyWq+ZpRtnjyc4oP0sjdUgMADbHHBXtXtYFNJGZ7TCac37OZCEUFOb7Gad6qvFRbQGOJpIKkzi9ARYwOIlVU+QNeYWFps1fGWd5vBn/q3w6dM64WU518wDxXK1T0xOyNWYX6xJMHklu20HWTiTnNChdoDalxdXfe6fR5d1+12u7OZyFY4rTWtqxej8eN4M3kMRH9QcHcTYlnwaj/PFZIXlMi7cWZu23dYiNhl6rLt3LPXNrZVw4vq6JwQpm5049ZDXpIGadRmc/521X+xuPnD6Jd/f/d//N//+6e/fI56MybL7VKerO3Ibw6sRj06llQ9rZEy8Re82DcuMJMM3HGaPCbfCQWYKr1WTQwZ0vONAdTJn3ykUCU8CpHHozJaHcrl0E1xlv/4CkO1Yg8g5zGnGpyAgNhEtSo5Tfrz6ZNtu8qU9YSR6EATm8sZgWwkabu223Nc/G9TmJYiwUMgTG/zlaowlJiHe/jVJdyX7IXPQDIWQcdlVxumDnrVWWJSl6tlqpQpB+JCcusBI7/rbadvr55YmZEB5XRbS/F/PMxm5PHmWyzEa99zQ+kVKuL2+m+++wYFQxwDuLzDDaJksSAyXmRrLUNva3eW64WbsmUsFX+KFEjNR2IsqwhouJEhpmeElhluOku33QhJlS36ouoSts9WaGfjrMbr66+vHv/ng73fLyx41H8yAwnwHHGaRamkK8Upc6EQ4qFFVlo7uGXgsr7XThoNdNbZdP7i5op2HAyGw8EoQHN9faUVrCCFm8V8TkTPBHvCWVLuIYCJoxZDEXQGhlIB2/HXU6/L+Tjp16EZpTOrS5oyeinySs3B0fLZTwF6x7I///nhm3959XQ/vb+/f/W7m9t/uzcxYgFb6VjWgJOCqnaPbAJreKP4SUX5FzBWmE16gtM1oCsPQsiAoAuhJka/porRCcNi3y0BN2NFeEQ6igO78iXHdpW1GohGJQ7sm7K7jA8I1+sliLr9kbgILOcy+gig1RQfdqfT5Xy+Q9bEXUgUJt7lJ8SUKsMDlWU+iKiB+Uie4e0FdkGUKvimhwfcI5JH21+yaegZuHO5KAMxnkeiatywEExkFqm4u4Ke4C/8ztB+bLARDmsw5xZbq8QJoMRx4BMbdWhfuspfMLbstlCAq6KsnkQWUNjeMhnPgbuYLzGHBwhYht82Oqv1winWsYLKBaUzb1KzkpjV7axug0VSn0jI4ZILy7trSF3s7Wa87bZaD+8fvv7Td7d/vrUtNC+BJwCF11mAMylMvlBAUmjEiW305rVeaRUlTmFTN1IfvK82a288nr558+r6+sWOfkXOoD/gmzDs0vD48DSfzkZZ3qvhuifoy1cBE9mNEkQs3FntLfrqQWUMlRSCgk4tFc++eKuFTHaWY9+0l/anH++++cOrD28//qf/7T99/vGuEQ+dnYniyfJH/tE6luJHJo6jXsBb+EcraDbnM/soTNUKG7dvbieuhju3lHCN/0GrvV/2vTSrs8p5zN6GzT6201vhezhPj6rgyXnMsvcjF7nRS1iHAud2+qPr17gK4ODldHqB+1MOiHIKVjWlKgf9pb26HP1Ps1p1OmybbL3e2S1YY43OYJfGwhp6c/kqlZAI6rMygUExGvPxfD1nDT/2FUUo0e7rtt+cN1bN0evRerEZExErerGBCxg1aAlpDnagYjCPhiPWJREZ/UGfrfhLzFkLNC2xWqNjeb672iydYNkoSl5dTzJppHOw0e5bkwnHt+z2tWmMLdYGF8626cvhxGu82Zqr8WbjLRoOWwPQbcIm9zpo3FmJ4p0Qq9XwapiKANmuzOorVhle3rzSI05y0qfwHGs2r0YjXN11Wbzfnh4eaedDtjBQg26oZl0FOlzwuHuWBlNVa0Wk0KSQGuEgp3Tj/QxnVCY3U4wljKz1p8bsanp9M3p8uH/z+1ef/3znr7do27lgdi+P1bGEmhhFJmhN8ux6hGIg+eM90ATEGfLs2/dSKMRuEBG2SrzgL56+zCee6cyDKpxVs73gxMA093NgYP4vvxqYx361Gug0mvbWsl+8filLC6FP3JySxd06UKroQQA1tFTloLzkV/UKl7I1Bbs2VlFQ2T83GZIuRUZkzHplSTg2f32S+VhKTMrvhKKagZCIs/VqYs0xUrkqeGMAwWdXCgbDdmM1XnU7A29ze/NDz/8YnWWJ+CjLP0cJViCk2iEYg8PhFVpUr9e9u5dQLrgP8W8wHKBpLeaL5RKv+zaH+669lZ1uyaBQSrcJ6hi7ycnKq2QlWRv12QewwAKXYkfx0TyJJ7ZtYpezNtvx+FEpWEkwMSqqPKZaidgokAoLB1W0K7oBIRoWC3jpuYeFy52ONRqN7u7vaRo+cu4+30kbleFkAq/WYBLJ9SXoBVeoh9S0tirARKm6xGBqL8Jp5eFvs9/+n6OH+6cfvv8d7nkPn+78z9HRlE2j0rEq+WMJNakUZSMzeaOECJxW3JYC3NfFQBP8ZfPo9t13j2TpE7AogQT+sByoOJd4xwBmIxE+m/zdTyfoMygerbaN1WqzXuatBioH9n25BPCSCVDIEiQ+7PjF2p0eq4GkIAeYph3H4SagMAtwuoJ1IqXqwj3cNY8KWZbFysrpWqmi5UCtVdgcUNIpRZnKyfK8r2qTzsbVKCkRhINyhWWi1bHWrLNZW2tjEVkg5kbFDnF/08DPfT0TiwsnhM6fVoNtrx2ejDlmb1NDqzDjK+oOP9CLYxB6AEksZuF5vVjsllV4pTUt30fTWrN0OB2PLW+ZtsetBJfys8oASajz/mC7nK0dz2HP4IF07lR/xVLFvh1ULJiOrrWYzBt8o26JkBDNHCl5zAMNAeRdcyCnCW+RBAdL+TDV6dw3m5tffvnl++9/q4zE++yWuLr3er3xeHz78VZ/tobct/bZ+GtcFRjI/CLaeM3XrmfL7HLcDKMoPNaOlcMPx7Pf/69P3/3zb1G1ieLxm+/e/Pz5rbnzYs0+7xVbQbitWZ0c9rUwsCJdBsVkCKuhqW8MStSWRS0F7jpqEmjASeSFuGShzahDA22HndRtjrXB1ypZihRxYMfRqo7VQA1fGbZlb6BeDdTiN0CNHEB+ISi44QrSkzcHaa6VKl11ypzCUgWV6lM7ScalpGS2fN0EBtymi9NUzI5lMdAXwyJMu7OUBfL3kz9oWdkZkNAPnJt2b+j+8j8l/IGXmJwwY28WW6fX9p62rMoNr7v4AGzm20DB4vOVAYcB6UiBRZtipoo1Sr8/IGRAkIgRK1CwgkRqxxcV13A0uP/0qUFQrqpXuFMZwqDWG2KB3W9eubL5Ti7FbhGXwhFMPs3tnd3XUTpFaBKCBi1N5TzBDziVBrMT17ikokqpxB1KqJOkVmuXQ+hkma3NBoK//e0nool2ewQcdRGgbVTadns0HP70t58C2cXG0jjViYR4hugzgx4ahDc1XEAS9ECrCaDQBKhjKMznB5C9e4lXxCr3y1cvJ49z97Xjf0o5ujuLPehYV6X2FQpB+URloYqlC7NVuxUwe89AitfSyjEyanhUFKLoQ15AYS0sSqENrmWarPbZAyJIQEqjWvG16XQHm9ViPh2nfpBAvHK0Krs3cI8y7S8fXdin2GYMbnzYmanTcskAWa1WiBGkbo4pq40QAQS5c9ekUlGUTgQRWEoXO2MB1dtOhY9Opo1Vx3Kbz99T0fjFwc2XCCINuUSEhCYz0mIMXD6teq+7fK50RtbyPTsEDwqN5gibBLEQT/zV5Hbc7jjO7kRC2UiIAtH5wZ5/3nhrdSS0LlDtFykUNeoQL6DT6YaBdbspxpggA2N+8jQedg8fTupVPpeC0sY30dkXLttj54Xt6PVN4W2Y3WpmYweZnuCk87PcNt/2jLFVyAgWqFJUWLI+qPuBAiTUKqHHU8AXjGsckMMaIVVAWj88PKEv89HMgCX/+HEyn+90VmCy0SFCUvQp8ir7gf64pzA7U94bSvOa/4WjiYyVaEpCqaQFmuBuW+33f/n47T9/R3Cx8fT+uz9++78+/dXciAWlj+axG3aMSlSvXIIwnFZTncqoJDlVExtlfpZM9BxFofSiExEA/FKq1c6Bve1KOCs08IdPLAtizeITNkwhg1SZrJAl4eRj7uVDrNVyZTXQ7WIzk/YuurBDkS3HlCUbZCqYT4rw/uP9jgNwXytVPKNcatPgkdzZNTwdK9wBwvdHIji2+AmHa5S09DoHAwMBZzj8vBnG5Y0tAU28eUsOdo6BFgXrRWtjebPHGd81ttuaBDF8JLffv3Y//DQVNeKYC9JDo5qTFnr9vU1oDxarCt9MKFL7hMNfTOQffv2gHD/DClasKof8ybsSWYPCimKbtTYzduOK5aEQLC3LrYItQFt0Q6vIpycTIsGu5EYtbPKNhzQMM1nDgRQStRGLtifPSqlZL1++eHoc3989IHtpGTYbkj8IkaDLVv1N9jITSJp26NWdGyDJqx7GgkAhE1xJHMenYA9ebebz8VQCebCXc2Q1xuWgGtmxjmVGUN5UmITroMro1YWT8DCMq9q9ppCGNhSVhljgGoqVXEUFNF8gA9WKKZLDbdh2smI10NtFI9+s5nLiDcFo1BnMp1kN1I5WLqeQ5YddSNYGyrUpC6GRVKXk+LRkmb/bFIP+YMQb5Lj+9lX9RtZbjYr9B8n0HD0q1HKFXTpJX9NrrmZrbFSyr80Rcy7fTOHW8Fcs3hEwe7t99J+mE/e3TX9/IiGYV/fr7lcdBAJfa+FSZe9lfXBPHOMc16tUCP1+N0XB8hufPn5k9bCTckxKKph4YqEoDBeATPmsRHoUsjtcTM3V27XXjkagiGap50l9nYs5KnDAYkhi0g/1lDgiW4xYOK42YO/dLf7s2+l0hnalqygjumHhgRexMpbiWhQhYNVSZuTTPJrl8KS6lnQORcy+lxzen+ROUVhu6jXnB0FPnh44NWmLlfbTpw+9l53546psnF7sWAZrheZEHdio+4lu+kNqlTvGCMDqWhGuQkFRGd3O9VBITQtNVpoe3YkRthh5sEO0OY95s55PH5M8x5TFPiO7M5yOn9hGXVQd0/dqj8vB0YoBbloykU+bsvj05Sa8TBf+0k0UqjUB0Xb5ekayac15EFaqYHFSmTUHlZNTDQU1sUWFRvQpB8DJXymNHXJOPQdIjbUQ5EYmenOMh/WjHTeAs3ra9K7ch88Lp9faPG2JRBnmlDi/cyAwIeXQotZNPLVxhMc8LTsOMGyM/ea3fm/gNp6OqrVodaohGerD4TCoXZgS7vG5vr/njK3I9cDJeQ9PJMnBPocrfH9IrX6naJJK6qGiGrsUNFQr66HLcUOlSlXKLBMGdqs1Is/ncJtWS4Vr14Sn8pZExNR8vri/vcPcTM6P7z+homG+0jVG/7Zb8mW+o2f/txJ5UkhrgfxmQQjozMkTLXs0TVFwMAEaNNOib1KeSuEGLF81zQ6b6tfT2Xx43VsTzaORF7YxBaVaK8zUsYSgUkRJfppX5En5vp1KnkrUXDRlYzacE74p1dCpdOQ7sMeKIENkNXCzkcNtnA4BPLNOVt6tBhJ6cL4k2meTT5yVcfC0GNb9o4Qn5cCMNsc5EExLDnjdv6n+FwZqUxaSJpj9z6dgYUALvESrV+LCSjIW4aZuHpQqNMhah2VGbXfyHcFx1HSeAf34ZLUYc0LS4PpOaNbI7fXYG37VZoNwZ2AvHzwnHI5cCd3N3GPHrhyux5w9a/S7I7s5ZH2d7XPKAOZdveqOn6p7l8N3nDpFI7Cs0fCqxfaqjIuhxBWMYXLhIfT542edPbQ1r8TUkp9VM/ygV2lMZabecFXKWinCZY3vdxVC3Xx8/4FTpicd99Xrl657mL+DXrS/kb9EF3v/6zvGMg9c8Jm4gkwDlr9FyXIh3dm3Sz7LjAlNndhALQBKT/M10RQlPpXCaBZ5Koub/Hgo85kiG7FwqGHjg3y4VLnS7VjlCNILeWCvUaiE6yJgadYTQQ9jKn+/45RhQ8fg01Wp1+GrI/Y68cjXjgpnhdejrAYu5xM+ZhK5JCG+GqiifTqcpdwfzabyMVn2gk4c2PeqFY5WhzNey4LKyh82ZcHPvbDIyl5fOlpI2HRWH+DaIO2EmgE8lCouPVRgKJdBoXqyKCLLSY56EJeBwogrYU8yg6wrLmBLzzpGCLZzokpKszpua9aI60nUaPXrttsctLsdu9u1G441Iizc1uGsujHhy2frB6//dWfiEo+q+sUqJNUk5BVB23Og0Py4ugcKFt3v/dv3enDRJ6MWrBwwh1cZ/UlYrpSqzDmn4nx4wHz6O993bSKE4Uq9/rj1X7+56exDNujxCwX6BgZ++nh7++k2eMRlEnerjt1yiZFvVV8+KKokXKQF+Kd9noTnAW1FZcPvM5oxnKXqPfTQG3KoqoCbiEVNm72EqFYiS7nhV/OiAplKx0rGeS+mS9ULhLVLrJRKUL98NqaUOW+SagFTRZC6KKuVKYkoUuvNGv2G1UB1uE36ecx0AvRt/mliYtCxdVG2P3wx59jBvZ9WLE/yEfWjTQRpIlqJp20nX8Ami5dKgWxtyoI/51OwSpH4XJlTW1QTQwsx++p7vrhSnGDOQjQU0mxb9a0XER6Rh7OQkoekppmXqqoPY6VTybyjcNZQVWloUR8OdHK843bR6A97q80MXytdObKRw+IAO85JdzEmH/QeXAF04d5wNPOt9dPY+cFu9ds+D0AufwmiZoswEJPJeNNZgzLHYajf6z09iUswBH549yFQtkC8/5SsQoNQHRBvoshe6IQRqTssYuR2kHqT8bv16quvf9PtRTZmUml8rd69fQ/zEersRsFe5RKsoZO9dhDBIGw76qIzikNb+oxyFOT6CsNGOrYaEEcBBYKHHO1azR5B//3lo9cdyPrnklMUvFVj4HVmXTbTVsDxaPnXjebAb0z4vpMGymskPUhp7eNrVIrUuthYCmlu5hQu5RNJARSrvZzJha1ewmNswEyaandeXjgrvRqIapUPFIPndHzPciFrRsulnMWecynHS+1oxdGBjOjTfSlFqOC7V7S6SNrf90NSfJDCJKe5Qp8LprHn5ZMSDTIdh8mIPIRffIH3qoLKBsbQrP00lT1D4JjWkHQCSBdPy5vf3Pzy0wRfK4ySbU5Ix1jlEtw7PiZFuwoV7o2Gk6dtY9MavOyxK8rZ95k9KqO/0DOfTjFh41U9uhpMmSY4UBRfdy4iIOCdHWpxlrpwDEJqEVt8OpmGESjuhRMK7nc956BXhSpWUFReq9wxXhoUO2GWXYWSGIi6gGvku5/evvn268Fwtz0TuY+j1e3nO5Qqgo26+GZwkmuycDil4HU4a969bimZ46WbezS33FS8aqIpFzukQnNSIzHHzQZSf9Swr8Tvisi0y49bx8W+yPLgduVZ19+zU8TfznzUqw1rhy52ra21knM5DXv1Q2N7ZTUHjUb2mdAC6fx6VZiv+epLOOcz3qcSCe/KmazEMLlCHZOoB01vNn0Mf9OGa8dqgJgyy0QKnU+fiJfTG1zJcmFYHO/gMnfbjGXkeNvuIssNu1CYqiPv4eGZFCymKATZkeSeunjQAChV6J6gg0HoofyeGvV/OPiI3LJME/1B6RDwm7JZxc2FeWmmLh4XX/++u5w03lx/77QzBySyINkjBqOrxe3m6uXoyX+K+W+Z02GxI3kq2hIRL9Gq+K7n9Hb+kUKHFF0LG5qDniBb4XB1//XtOza7heEzeahubMolMu+aKlmlMNyc+51hIyfH87+iR1FRfnFQI2bDp1/erl6/unl1QwiGD7++R+saoFe1UsI3nIZ0xXQRL4A/9HMh8gRr67VWAWrpL7suoyGbdjWV22t5Vtd7/LhqzNqu7ww41mlEp/fWS3/4qr0Yr/y71sBpbfCF/Mq3Jcqj7a39+XhpPTYd/+A/l1Opx8ZW2bEssWNFLmE7PFfiJfLi/A9Bhzw/6ijGvNYLEyl6lbnNStynMFqtlAN7d7NeYHCK4t090Rx8rG52i8OpWfIS8XbHnWswuJ7PJ0GQdyhlCVKCheqIVrZRt8lDc8S7MylYfIRfuIc7KiBE0i0Y0yhVXEdw9bRF6UAc7RYWzRpfROydloRC6DHRlp1fhJ4QLgVE8hkXzAZZ+Q3RsBaredu2XlxfQwqKFF44fFWFv6vUV1YGkZv2w68zYmVVJMCS1T2P3TSt1mTcfHFzJbzZXxCxZAVrKdtnsHJLX92sP+K+rTi3zwWEwxJfkJi8OUCOlU9m/cJSDhzLIdxpNae3t7PHR1b6u1hHOmVEsBGGVOQ7rksvj7baPrdett4/lfhbnaYSSFRWKKcaAfllEdtee/GOGLN97K+AWrIU7jTGd2u315axdt8cOrJ66/VYf/ee/rpx7Haz67t915v7QeC5ApqtxkPDv/atvm9NRccStiuCM7heAO5Ur0OczJAnp8JcDi77OlTHNSKSSqHx8AEqkatanMeMm1S6PNzvDSxjs0ojHBk9YbmwN9y2HaI52LbL+TZsDyQIO4uDaSXOmnYmCtBamCHOWjMDZFAVrP5AHkrVhSwC5tO+k9PJTEg7o1GQLFlzihJnOdSITrXTq0TomRNdVp7n1Usw70WvzseBL09PD42WdANcodXmfBWrXYLgMZC3HAaMPFDhnyidQrbLccydF9v1oszHXoRIXNQ308mi1ZpO54NBerRzSOFovJ9/fIvVhcIsFAYgFN5MLgU9RxOfmS8AZ3YDNCCnMsQMwDlyxYgURnkesRvK4a7EMs126ehpfSZMgCJSnLHCiUX3lWgqAprzPsbJnJzJV7Ci29JxX/1VZ+PcNGYPq9bYtq+am+Wm01SvCDXSZcnU73od17L9sU/wOY5gT0JLSdkz48Hyr/DHalgTiaaSkvESkqQ/iAiC6Gchcc+sNF6IViWXeifCuqBbMoGuNyssjhzeZ3mbnNVAhCjitMZzAyERU1a3O+gNrllnZJvhnu60ip037UwK1nkrlYcN1qNUoVqRCXtVWKPSiXmFL+Cdlm4xK/0F0BUjIfKZu3+3G6+iUYloeRaZsqdF/Y0JNjYQctIzfomL5SLYa0ZG6CbGd7tLIDdMHjvTJjWQi9Nxgj9ygpZ/ffNi9vTkzafldKyQrCNm+IrDWfAHYveanTJC+RJ4+/OvhA+AMNwMULMwsnPB0zSk5FK1jU7wIYQRnnzJDwV1oqHgBb/nqaPmu3T0MhjpUuKMZapjFVT5RDXVnNR2oQooKL5y1/ZNY/qwbI+xUuEqs10+NdjlpaHJYUR8x6iOy+RuujF2xwwZBLBc1gqxYzW0HasCmWcptMEPsgAAIABJREFUIn2DnnK+brmvVXrPgXUQExcj0t6yBUedErEHsP9LMCsdzsp2eqvlTMdb3788/AUGqpV8otY3/iCVrsO2RKuFKt5hh+CwHw/1eaDgOe5SxPdzkHFynHpDFu2Bos1UlLoCyNuT03E0gp1ow1dDBubR4E4IAOIUifL1I/f6OgLhyWvb4VyajdduOt3o8X90DJzN+VX2jp2CxSMXS7XJL2s0+PvZtETrJGrWblrzx8cnx3758jrGMXrvLz+/m88P8SAgQ6tZm/VGhUCVEjuu7/geg1H/o+qW5mpB/QScYzAkmim1GtIrZHjKlZqhMFHpWOefcQvpimY4Qltd2Zv2jT99WNljdsw7a8uTIPl4+QcSeNuwO61DF49iTn+S0koqhhRa7FihtcL0cheQKj2ljFZ9EpLhHnpV0AJxHNKdPdGxUP1Vx+aZJR+6OA5P+eGsZDWQmBxhT4s49NLPLD61bUfCLihHqyDsArv7kdXYSlKn+NJoji5wDgWL+YZZ4WhSSwPQlio16iSWXeEapXTzi78gUixtZrL+uWojw1T+V7uihK3HM/YkFRayIFO1Ox9WnX6v63SvnDdhWya9KNhJqt0R8vsJh9V8/vCx6nE1hxYjpun482234/b6h5gCyKhf336YzyKBjIWe7bbZ8AcEeZEj84RX+Vw/BTdVKwP4+LY+MKH2O9iiBUJpyEUs27NdT++1MKGQmUU0la6kaQGNuBoz2UjYeuETlAHbFdqVoLR8wjIELukAJ2q367TmbCUsvDTfpdtBDmyP8+QL0bGgXp+7XEvPKeZaOAdOVnGTVfh16B4LFjoWdqj1Gk9RTkXFgX2ZvxqIyapWzaoh8th2WYtsOh08reR4sejFqhQCHC9VblSXiL4+79M5FKxzerjDWX3BWVkVXq/Py8+TY6NeMkMk5AiI96rCyWnIRCDCDgEnvVrUFtNljkx4J3+xY6bg4Sx1x+WAHFk7Di5UKxSs4JFasbwc9nk6vFJ30+n08f4Rb75QOPVYlsRjfEY4ZGg1tp/ff/z2d78FKanIqffvPkzGu6AMwl5CNHIycdNi04yEDlJMF+7nXtkIc4sVvhRmYsQqwF4IplKGEnVSvXOnVVfCFSmk5nfd5+usOEQWMbNElSMU1/qg6CxnbIPu1XTjTaxBWzyudpf6Ktg/SJAGbFr+PhzdIT18p1gP01WD6hfpPPlydCzd6KU88MIcKXcP//JMVglgqLASzmq7cNx+t9eZTR8W80kilyTwsYpBo/LewFSYUMs+X3Hwkt+CsAtM/Ziy9K61ZzHuBFU4h4LFpFVoPQoIqnAD67WxirIggqHVzINqwFbAf9YiIk1El4roAWelIIZMuCZyTQwYQlyd08weVbrc3L+t56/d6YR1KRnP+2gdYQQ5ChbxqB4f5KRSIiolv6TDQA73uTUTjXmzRMf6zbdfAfbD+0+PD3j8iome2YetcARtUJ1W892I97kID3RVuxMKhOhT9IEcikrXiQLlSExigO+K38L6ksByahJ+pUwaz7vqGibncB9jhnT4Mi5EfAl0Zj3W1g9w9J34eu8utptIA/Fpk1z5kB6veK9YLwV25Q7Fd1BCf9CxXgB/t68w9OLCblWjl1NYy9dA61VKcpgVZlZlNRAnLExH7D5AtYLpEi4u0e54WKnDjo/dGximi8mOCDVqNdBVRwey8SivrYOyOpw6K4bPaGc5h4IVVLjeG61U6TaurFSFSQoGbDjxAu+zRoa2Hp2JYCGCXi48S40FqiZZyXAmeqqi0fRRDQ69CRjLJ4F22ktC1cakWDrF2dY3fpTQ6ggjtB9DERCDk3zkE3M5fnq87y4Wy4fPt+1mgyhYXLrbK/7rGhhJHKNMSSLMU7Td5fIbvZROEOJa0ENo8TP07GwdK0STeevUkTMVsfCijGIdB8IzEEIM9T0lWSL5drzPEjiFlbv/YnSscgprYcWDDHBQmawibA3ept6oiXXdkqMsugRBmE0O4azW60WnO1ot5CRBGoWVQFGtah0WOFoRdmF3vo3TYW0wlcicREwtCPNnXC4sTXFOZc7wCmYFswsz2TNqpmeobC6KEoMkF06pl3sZRyGZYEISMQWMFhMpL0omnbimaq7F/cHtdnT16GCB01WSVHogy39hrwI4geEqCKeOGR1XrWTBlBSzmoHu6eNH2D3qKocVxfno/G4GKIWC+pPO8gkeJrti3aXvmugEO/D7nl/r/BGuRvheZimLaObSi1RDQ0R4rFWschhFtftsxJDHyxidpkiQJMLX0MpYe9Oa/ey1N2p6UrznfbTP74HvaMombZ+Rv3+3OhYsLKVawepwOKvlfLrALS52+RzB+uh0BkRCXsxntY4MWT3g6EBZDSSeFo5WhhI1RqF6RE94xuXCkytYsIYaplXcNI3OwZwHHFr9dErVToKaEvXc+WRuOBcNwhoRnQyhdBmXSUhFgRuCZyQ3Q/kr3vKJxoCmovwWDmZ6I19rGhMMwekK16sAMcqX0bnAZjUTzkPWftGAERAgKntjhrAs1NT8x7d7Kthk4hF10kasJMhwinCePk9SyY4fBlL+3rtada7bi79uCNUIaibHs6LPILiA1zujYEbh3OT2ur14u3G2jogZdbGM2Fy2do85ld/l3xfLxaJf7nQsYjecT4AakJXIIpWm83EdoblI/9VXAn5WAjMsqhWe7Gg2hLOaT8XnITWzmKy87Wxx73Z6bneAdSs1W6lEiN2HXXDwoOfUClJKQcjK/FzLhSdXsFzXrRDDHbZqpQp+0eS1rABmsV6ngzGrJ+UXfKa3Kd2upq4Y8AMUweSSPsZOXPeUOp4Io7dcsjFmMOibjGe0fb13gp55f3e/mB/29NGFmvIlbmbByq6MIkPxnxYIBFx6IxhxyShTNj2l3pzdiFWKukNmGit91JMqvJf/At4fip3+To7taTe9xlofLa74GThjnbMlD1U1wZrJzwOY9DuMK82VHWhX0ihkLGS9CU1pCHc6lnXpOpbigPTFCr2QUqVMVvBJhbNao9bwb72aLzMPt/F3jlb7BlouZkRM4ExADgesQKpuIj5rMVkRc4EFQZYj27bu+2ntVzWN5ULYcublwpMrWKUsWChVXDCQdjqDUhVrqcqdIwbnLI8iXRBDVYVMOo30P23nZ+wcYyzZQ0/XCPZvL+UvVLIMd//uXbfTYaEQsoSr2eqqdsOif3IOIEcFhqvBp4DDaTWFV0YWpGJoYo9zjzZRxoywESsDUCEBJ88AYXH668ZZQ92FRBpaTxWq95NAItFjax5aZSq/XfqsjfjNQxyovc5aBspz5EWEJrqoMR2K/8L8/cydV/LQ+Ie7vPzRd0rHkq8gdZZO9N1lPSmOltGxRK8qsYdZuM2hgfR32+HUqDaGKAwaqTxQOTmVO8XPihOdEX19OXd5nFU8FSaJyiODSKHEmHEJwq4VgKzMR6ZTBb1cqAx1BkFAjsRHkLCjIRwLAA0MntIrqDzVpv7HQqxUXhNQqei5C8EoNSvUhlfP63vRJpPOBVxV5GZFsrUlY7t999NP3/7+dzh0CgsOUn5HifxRWpfuKrefb9erhF/ClrMsiyiPvweeSqJdy60AxgFlVd80X1b58ul7heB0fammOtH0e/cOGlz+u4Bru0LjbzTohqEpQA36KsaM4ytUiteq6QN7mwFy6fz8k0+68twvRVqEmHtre4O52f8idCwET0HTixBBjmtJEqlo5gPH1WC2Z2eghLParMMO7LEycrLN/nCbrDZCr5pMHnv9ER5ZBMeKQUg+Qq1E0rIdq+mwHOm4OxfYZM7aU9AxUDkwZZ1B2XgeBQvmapcXmVN8/xJ81SEJ9a72tjwFQEjlEsh09soSZgdCFImS87ppnZS8VKLTtMQz56Mjvv3L3775w+8cJ2yg3okU+aOqdH/78NOPv+w6LQ2hJmYmRLfddOVwQPkyLry0c5VALMP/CopL5Q5SWIWiDBfe9PsxhI6lmyFcn+fjmlCxtVbzhkSBCilYYerOeV+BE4Y6Fg2gxpRUuFyNdjRVIC2C5+6L0bFETGSZBmGjcaDQXfVRp4hlZLs927VXy+kyI5wVokmFs8JktZOBlE8y/fDO92eTx063zy4h/OIjvA49QK8Ku2BbbRezGY5WoZdnumX9gekeHYt1w5PO+6dVsGQIhdom8CAmkYqFX52Jr9loYqRmZ7yQNzA23tlNvl6oJhVQci3UMKeqU2VLW3IUn4rEGFx/s/41Rcfa5eL4v5/+9vP9HWFg5KIDE+cTpcrlNDUifRo0ALJQf68L98vZqzROfoGQaPvg5cXcGM6yleg9qnsEQ+Agf2INdxT4ShWKFuq+cV+9fHX79pHVmL1BVGiC4DOLqcqcyPsSUA0g3b+aBKpMU5TJ+knpWMhSa6aUvbQsl5IWYylc5CplsgKCfBZy8BcO7C1buUylq7Z0PK1amVQ+1iCL+dR2OH+C5cLHWHF1vg1hF+xmW60Glg+7EAN4zCPd7wzLhadVsDgxlxZFT4QR1Of8blXHNMBFl41NCfm0MhAlgyi7XPl5632LnUbsO+Wu2IAtV7habtgCkzRztI717R9/Hz5oma+cTx8/v/35nXwYbLd2S4xVjngjh+K8Z+PetcBuUinLkChcaUFTFpnmi2K47KeKddJNAO+SQ0C1fplVrRMzaPGw7P2p1+60vTkrzhERHe6oJ6bCuJNl0EE/DcaUZAlEVrIBMiCkJB8a/3CXkq1M0p3l3zD6Lz4GKXXSHZUbPtMCkWJSV+xVTMQqSmd3vVlOMxzYAbULZ3VEoFAaZrNashdxMHqBQUvbhzg40CZwfxOhSRD2o8IumNTXPM+plwsjo9ecrPyctL1eAdTLnOhV+fkv4W2p/noBBBvIl32VkHRKyzluXr+AOp+NBHSsdz/+9M3vfsAwBdLpZPbjX3+ajCfoVX2n1ZGTsMzWAXeTCqqb+lI0aLTCOtKUarGguDXrwFZITl6G2Dd3XtbTvWMUwAi4lvtpIQ1EPlEKTkeKMeS5tZjNX7y8vvv8gG3UXJ82RnCejOpLINCrwJnbBGVoqrmRlI6Fht24cDuWcmBXHdqMk/R6FCt0JqfTJezBcjZeeOmrzsBLrgaWaZF4XlyyZuOH3uAaD3pRrls6CLu7n5Ti+Z/xWS8XEu4AHbT25cI6FaxgBRAq9QogUeq/CO2K1s2Xv8/Y/Kmo6aZKZ1JTRyjHvvtKulyhV1/Ibc2is3KtvcXi17/++Oa7bz9//HT78RPn0rwaHkK954NVrbBrApVTtUNtNasNUH4tanorfKgJFGCM674fCebDQKytz7ROJGI9tNzTspqffvn0zR+/+/RnAmfHq0yNZPifeHDHsVZoQqVa7UithdoaaMqsRuCPdYE6FjzkOqwGqg5ATXL6gJqCV5xtg/940/Pmk8xwVqVWAzPZl3jB3hHCLnB0Yad/gx899CeyXFACnCSYFOoKzu+yilrfdayCBUFc0AOJKFVc9dH2D0jpHJBxFemvDD6xGbMGq/WqWqe0dBqMU2ucXI1xVsqYJNRbLt7++78jGkbd0Km0WcB3IgQ5QvsALAkvq2TpdOCDTWHJLHsh8qxWI1ZxnQI5rtsgkztpLzjxqZCraeWOTVu3Pfe17W282edlp237Ht7trdnnhfOf7e6N25Djl+KXSQeIlynzXMzofGiqGXZNoPtqfn6TtweaDncm5czzXKCOBSPFahWR9lIh1QHEtV1OJo1ehLPCamW72Nl7q2VmOCsKaZMVClYUwLFPxHqQYwpxtLLZGyhhF/R1hi17R5KOagWpLLtxA4ePhKYie1XyMgsCK0ABGlUW4+gWx1N5ZCXNiyc7sXnZ8+dEncJVkHHHqS0ymcso0R3i2G5Rb11UL0UgGlJ1KtFpVKk0reXw1ZgBIug20go5elVtNTMCZJQpo0YnSIYcww5QFfm+GeoQOCWopcGtDiPQa66MloyT1dv4Xutmu/IWHXyu/tidPKzmt8tRo2+tmnefb1999/Lzv96qeO7xotT0RAK2eucJ9IBoMyhS63Jxq05dnINpzxeiY9GyXPnCRz5dEP8ccKJ0LJi83qzokDiwOy17McuMR0XO/WpgGguqp1k4WrXazhZPq07f7Rzs/cEaHKpCtGtUR3aikppUTFkoNpWXC7VCSXEUNVMLFu1NMe16AhGgL+QUi5pZuteJuPMfHqxuBZpfDSfiSrAlJDJ1lZgczsQsZWyL0JiF+LSiMwureboosSLShE4aQhdUGmRR9WqrWW2AzGt9fM4cIxaHxG62hGaVMHhFiNIyqGLC/UJhVARdL8QBhnnNHNjW377+pxePD+PVz8YHUEYp8R2cv7zJLxuv3bDfeENMVlt/9mHZbbsf3n7807/86YP90d5mSGmorbKJJErB8U+hVsgCpvrAETpWWuNn4Toy/Xl1LHiZarJKrRRcRRTR/wk9hXJDOCt82XMOt0GCcbgNl5JaqSCrJEIy2InAbrUdtg9iwOLoMEd9AATgGFOswZ0hLEKAsfINpKK3YIVD4Sm7XKhVKxQkrfnQmhlDV1HHawrwy0WraL3KnG7KLhaHU0TMCz5LTnOpen7y4CSqLa0Akai2tDoXY0l5YJ+fnHIYkY1FCkg5gGfOjVbFAQ5eo8mBztZ2dTPqQsCz9xYI0P0hyY0zTkZJ5CVSNg2v+brZajbWnzmHLhx4LAkkUicqrnPAhHq6Vgh8KVWAYTm9n73+6vVff/q526gSzseSoLa+BLFuOt5H72kxH33dWbje9NdlYywS1x61/IeEH5aqPyWFE/WwYMfzECeSrRBP0Q1h2AqlGBvBdKDpcBfJUPfDs+hYyHdtvzCujcwFdBEOlukOrmeTh01GOCsAnmo1kBjhbafBsQPtDn70KCWa+OFwOJvNUKeCFJ2O2oF1gG4D2cbVfJ6M8JbmMF8upKbkp1TMqJSiYIWncxiBavU8VTwj1kBknxFnASpI0g1BPloBjSpWIF2u1i1wY0grPZrQdCbRmU+/TNdMWTurFN9jrtsfdPscUNj6H//2ZwYPb2aLVdfN1waiSGqrmREgo0xRAs/wlKoO+q6/3q6aa6dl6AWyH6V1qVVZFU/dPpKVeXa3+O0/DZo9q1EcvDoFBvYKpqeV0pJazdZ24a3nlt2xXvyxM3mY3z/cDl72xrczziZMKawUfbhSF0NMO480hGyyKYtX6VglqT3QdLhLZUW9iVrHYrzPo0sE9WIBGrw0N1lp7MzIfGXLd5/tWnSZmZwAiPkKSMqmdaCR9I0nC4JlW+oAIuMOBxWsVgRhJ/QDqlVSNez1evP5HFLRUcIwmMjQRVCzkjNaONsl3EM82hL0M/9yZZEUqFZMEMk8u3ELg5jO9VgF7uVXPlmTY1JqFFLHkEHZcEPQqKltRjYRcfJZm65lHUnD33FxveYiU8f1V7/pD4cykzSbo9H1u/fvH+6f8EQezzcdp634b8CnU04KEHk5/daAF7ssLAvCXzHJthpeY7v8uBy4cv5j5sUEpN5R35N092QbCWONFwrnjeVi2X/VW/68pFKZtch6sW3guNJo7j6fmpvW1c3g3c+fmj5mU5ZaxsPR1Z01bmefaVZXN0iyIU6y6vTSBNIQFZtCiu6/YeLw856LqcsrXeldYMc6kY4letU+jKwhgWpCWLeIv+521+slVqtgCuB45k53tFrsThLUq4GoVoaQDbMJyXivq0ihEoTdzQu70O12WRZEzeImDJ9JjdFvbhwKlz3/PTpWqkYIK0jnl+pwZREm9eSiwmQCFqpVjrKWBSWZDuITycMkrlpSnpFa3VTJhkDTLahaQsqhDxQUucTXF0UzrcGlvzeEWb1ub9Dv80F28/LaccWF82lqdlxmndUygmWU6Zk6AOMLrsqOuR/ay/6atY2GZ/VGzpYDYRIXZvO1tfWGjTlehpRUVyJXHQkZLNO2FhMELav1+ddPb75+ta52rs1GKVit3UhGr5o+TPsjd/upsX1nrRabbWNt0elyL9hDl83NctxLNSR0Q/B7HCxV2pDaU9bJpBboWN2GxT+TzIZ5RLgQwkB7fZiVoX3X69VyucDayd7A9WpBpNDVYhZoVwLG9zFl2Z1ew2ovVxv+1atdQXXb7rTdgd0ZdYY3/dELp1N8eiB+2BirJpNJrKLaiMMrWBF7dYGPqEYoRUzQepTxC+VoV1plyp+mmyhVXGSlFWusG9QAtkaAJwUFy+qtvgm19C3aCUbRVDSSagejhtjL0xMbr03qYJSHfpUjoXJeGUGvJxM9QF1Ag718oOthQ1p/MOB3MOjRXtcvRv1Bb772V+tMi3E99ESgGLHIKFME7LkfxOzh4pe7efl9b2Gv/Y2P+LWcmNixNg3/0Zp6V6v+183ud+25BCq86Gt6O3M7DvNwhcvfMHNZ1n4VhZ62nK5ZD/SbPsuC3hI/m7Uve1piXKqAKq9IeucR+636J/jrI8AQ1IGmw11eHU7zTnQsvx4di8bFxim2W0P9kjMaZV5Y4G/LSlzLdjjcBqsV3rfJutJATOKP9/eNJot3BmFlkiAyUtAGMVaJatUd9UY3veEVs1ZG3pRkZje+TtGxYooIBDPlsW7GlVLswpL0BM1kzeE0WrXCFGUyKE6lP2oiLoxLmeTQ9U2YlVne+IWMMRVpg6ZioGkVmKaKdb5CeMAR2fclXMLYS6UUNqr5Tfyu9pcEQwr4ynBylDQZDgck8mow7F+9uHpCycqfJw4wAmD130CDpvYs2I6mn5XBVoNo0ltvO/quO5+vYX6r21SbmqgHV1NU25E3fO2sl9v7D9PBC7t5Y2HQOhp3GoBcrineGolHf9aYzSb2EF+y0lqI5Vk+RiyJ9aDLso8Cl7StDnm6nTTW643VLgYb9IS0ehakJdhw0KvEXlW+UgX4eK3MmXnZDjQd7vLyn/IdOlbvCB2LCiDqRY9QG5XMKBVtabGc0/Btp0fjYrIi8kLMxUqDYjVwRZyP5Wa9EV8rlDCQ4RdlhigzF6OxpQxmolr1rvtXL7v9IT7tmQWyX1D9wWDAWiGViuVi7gMR2kIs/dIeIZIpm2laVwE+G1J46RUzrMaR2WCfOcsq4NIDDCyU1UpVBSBBEUhVoFJET0g3CLI//w2EZvTHlCqcgVzdEJCkGj2DNEXHYDBUtFtawdK0dbpuq/0CecfxE+nU1lmtOmGlU3vO1K01fN399NPkqz+OJtfN5Wzj9NvbJxyOdm2xJdqnvX38vOgM+BBvje8WL77ufX6c9Bp1fpRLjQ34auiU3Wy0Hm8fnV4LzZG5rRQ7mw1rs9za/fbmbstmd8oSLVjtoxedsr1ytpstJq79kM+DrfOoLp2XLfYuzAYRg7xWAyOWrfZHxdu4U3btWOoCeGttX/qibZfyx4KfZR3YaT5cdVCxJZxVu83Byducw21kaz+TflyCLedTp9Pr9AaLWXxtzoQhQrY4Wu3CLrDIogWmSdmcPP1+n/ANkIumEs7GhMj8SOJlLnlBG/of7RKQBzegFrJNzCJGn2hhdvzj3pwDSWMVjWTSKvkodpI0P9NlvQ2L8YCy1MTgbf03DAx9wUCu/E9zMrCJkEvT0e1Fdsqwtsvm5PpJjEMsZhF0Uql4uUt99pcN5Cxmm+nn1Ytvuqvl2u21V8rRakcyU3yLLVHYFBvdzuDp/aLZ8t03tvhs1XjVyjDYvxwvm22/ghsWbefNOSquTdAKXT+x4eGbzHYLpQSKsmX8uVy2M+zYoEYF5llBJLjiE3aNjA+D0jpWOGV3f2idw11KtvMmoWOZ+2OhV+nVQPOx6W09PMLp5xyHjKo9mz7KSclp2hXNhA/jUvlLJ7UrzRU8tAjn0+2PSjEJ7zAcrVp89HRG3dFLTmtGBppXoRAXYx/iMWXFcjInYspCa6kRVwxFhUet9vHLrA15AQSqQApaF1eQmHVzEgULmmSsfjlXje0KKO1ZJXMwIeDUhbZbI0M0KD4zvhwGPyOlNIhcev6AdZp7OQTRc7VcHw6GQSdmC/1g0A9KYY5fZsV4O++kALbzIgx4UOXGWuPU2nZHzurDdj4W7UosV9ZhBRAzAWFHMeosHr3vf/+d2+tMPi6uXrurVnxxoQr68mWEur3+yv1CrAsHagN43lo77QX9JXhTfOMt0NWbnI+zy9rmgN6tpewl6FkkyglYxpeiwKhH6EEhngZUbKdaGaOpKWOKjnWg/XBXE7ZjwRSuFcJSMXjswxaa4EOlxc1usZijktmdPvsEZ+P7JRGt0iZQ1KnVmqXDNV7Xae8jCDfr5Xo57w9fRFIzHsRMg6OVM7S7V/2rV/3hlYn2kAEsLznL7Z0eqLUWrBJ55c/yTltGtGrF3J2KE2qhOWaNS+YsVsGSZQpTaJuwxleY/9kziHw57qJJuIABqHrVqSRdoAiEfvLtF5JyWukZ8EdNHGUbV3aSox+7nUj4ALyvnp7kZDj4PxunS8BalR1TFpWt3vl7iGoObFOiSi3Gy+F17/HTZP2r77U9/FJ6rQOfyUTKdtMY+u58Ort+Pbr/y0Pv9bb7lbP6ZcOiSQ3Em/J1h0oPN37njVXjhUQgchaRNQ7pEoRjr7ol3l8xnBs+jlZYsTh1p2OtZpywITzx1e7CrWQwJloJh3x5toOWn6kGRhuBiKzDGtfSCPQJMmHHumEDQqOxUKupAQZYynxcinwqzt5AZA0H9qFczedjfehNAPNw4zdYCUSp2jvq8cYIFZ11O31Cx5oS0CG9uVkNbFtNm6Ag7EB03eKNgQeqqt6hHmi3dzFmRzs2agNvubLUmqo4TcuBmnZkzyD6U2EZsmF7Q2WE7KyFqZNYQZicviwFq5CVqRnoHNpYpdVYZasSWyKyODV/3YkpbRftrnUjrA7vPAxBL9pdNIG+mKSqUY12Baxw2dEQfyy5VjiUsrdLP5zqN4I6C8kuE/0tSmpW/nOnq9aANtUWmGNEk1g8Ltye41lbHNlstsp5kXNymEKwYHGofcd27j/c3bx+gVq+ztUhAAASyUlEQVQ2fbcc3NhrJ/1TslyljPiaApLlP/c3eFg1G8sUEGhCGzaWqnW9lML5SRKRYtu0RXH3bI8V0tUTfFFfay5rRFgthI/5MMJvgZOaX7WG/JAhY7oNgznfvchLKhipYuThfKQYYBI7FkdQ6jXcvclKHNgNyuosmKkwWXk+tlz2JrdwYJfzbdJ2cjAcWA1cLFmjEg/2PQZzVPjzeSw1DoYvUAD3xeUvhLPZsOVwBCZ7A18Or192QqcHhnOe4h4lBrd3thYmY0Jp80ShZah2qlCtQMrQYB5PUpWFjvzE+sK2QvHUPOmpqVn/AyemyqOs+tI5NDdh7qmNVVk0CMGMsmDEZeW7jPSdAK0kIExqEDSfzBw1Xfd3d7brDIej3j5KHkuEIGLszRJhXXY4S8i9GqgMY7uwvgCfhCK5EhVdT72G5YnBJvmO/VYc9ojhpt1sbBvzu0Xrhybe7d69tb7ZjL5zZ39bcaRMAuTJE1bbjfUKFWoz/7C5cjphVYAqbiy/1W0sphttdipLDedbehufQ8tEuRz4xL5qr2zLlr2TrWFjiTVr4zRK+vtBFU0QsF81h7SHpi3cc8pSe5r8OsBv0Isvj8BotdGxXjaylO1o1tCTdBXUcCIqYStqO4v5JDXggi5B66Nb8xsCoG9LMwdT2eTpvj+8Zl8Ouh2aFdsD2VfCmmCn29cLLwks50jgRB3c3rWRIowPFmnLkF6GC786xb22WjGVc1WDj1UFNqKfJe1e/1CwhKWB6Mnhr24GMtD8ST7mFDzVK+YwNUnFBlwgpU6FtwpcJDvfT1q+x+itAm5XRs8bZs1XDo2IQg9nTA7TZPyPRqN+b0AH6HY7n95/NOkt5dDFc5dmkZAk/SFNZ4kDP90z7SGUI9DzWLSypp/m7FBS9p4YwSgFqAVEypDO4i8a44dHbANtqzX9ZT34we282fqfj6C/NF8F19rymq98fJCnH9bXtgRFCyiQeg4b9tAiLtr63u9W2cROlRurR1YHra21bXWs9a3XQ19DznQ27F5aftqO2iXVqz19Aal5zbHP/Lx/aW2oRS3cS4nnJScPu2wMbDYfG41vt62nxnYcXStMLamcuFeUIpxVc+vlnMfMCGZ+UYuBsaGhAR/6Xiqi7EQCPTwQHRTPd8+3iFbqpp1vk138VG9YJUyN9k6PPcPh0Mh2GhP1qLJqFfBFK4XoWIAKLxfWr2BBcRhBQMGXeIOxCs2UGkF8Lc1QKxMqD7ZaqTADVp/g1K0hWBmEqULIjKKCXPRhdCwC9tLut7e3Dw8P+LzzyLBPL3ne1khiq4/D6fXLThVjKv9Jc6Q5gMcKtvym94GDkUW0pTZg0KitRuv+355cdYhye9l++suivT3CAzbJshhlaY/qRGp/s1rPPm5e2KOQciWfC95w0xo0pk/rzcN22EL3SgNRlCYdGmtpwyZExXqyshaIHGKDbZtDH/OVs3axZhXBiLw/jBA1RiLvDJ13YmVO/ajqR2dAcwla/9Q4y8KHq7GYC2+b3m+3rOTm6ViYrPjHyTZ4OLEvBgf2LLw4sGO4wXSTOiiySpml7xytVht/eP2GL5Y0w5gZpBPk0j5MHA6NY1YMPIaMwLwUe3XMI00JWH6R7TVyG1AQjNLGAAayprB+BQsEx+uDx7CvbNmwPNoxRXGfdPXlcdifWRbySfMz3gU+Yj4mfnk8nd5xbJVitBqD2zcSNatxSOSgR9TxtYdGpfPwgfLw+DAeP6Vzt2q10ggohpWa4+xtrvUqZTWTJimNXwqhWxxmVKkWQNcffGezP5Vi37lpf9d7hsVBzBOLp+XmqaFsV9AbUgpxmbI281vPnjpX0dA+ac2amhZpySZn506IsSaJXtMjHPf0Hr2tRK31KAkPkAjBCVGRStMzJkJ5jOBnJCZArfUqzdsgUd/8nKFjUREVzsonBjrnIbMamBpwQQNB3VFWj+RqYAxbpLfE3qU+ik6Ic5+sBuJh1eeMZbKJIU3FuE4t8iyJ6AzYMnDJSrq9o0ugr5AhUFmOoZBGBJRqnTr39YdJgk7qgilLE3wSBYuF1TDKC7/XQzpsrIpZ+S6W/tJz2jPXpIKA2BVhSJy5suvZdN3vudstHUOzDRIYMxjXF9PFyRhZmkUHSuL6yuFNrXcxveoY2CwISeh2BWJXcaDjzb5Xq44BHi1bla8cNdid9yxbVKsoRElp+63X//Ti078+xV6ZPcYBUkqYqy685lHxW6s266OF0Ha0wcrEKCFFyzcFvBDSc2Q41E/uwgQ/BzUHnPCNC+3qkJR2p3Usgu9P1FohrlOr9Yr9G3g44WJVsBqI2sWCkmq1AjT7jpFGQkoaNisOD+TYHAeB1e2howSZmN2w39SlsgRgj7yBQrQrdCzsWGFqARusviF+kz3cEC9NSa3JfAb3HuwyYEHH4qZ+BcuwwheSTWvHEEO346rcfmeuDnTy+Z9ivlIfqWfWReqvO6NBAX3G5sCOMB9P3A4G7J0JAX8sBozt2B4ON6uQXbNINBrzxwhQTiZenazp93oVlamvVZS7VcgmZMypchlzWGYAKDzFUnXm3GAllOVODlPy7Qdc8uu97LW9/uh3mSOzr/0oMWmQU3aNbAqL36Q1jWLy6XtFNnFarwrYm51x90Z0LEyO2829tyK4i9PpE+eTcOpZBdVqoGwPrW8kBajkgBvOe262CbkgjlaptWCm47vx0nQsSMXtnbVCNCG0k6BK3MAotCsIhnKEcPhV4T01BaCGUJi5xgx6fTNvANeI7KJAwXF9wXTxKNT22ZLN9rw1oi/qJUK9yvK8xJhgV6KkSMpTJwWLzCdTFEyI3eXxlpxUMXcc8RYiaTbdBSDmmxA3VGIfac/cEhCPzpo2Hx2A7r+E62SerrtAPFWj5NfpULsLuQsrhd5c7FitXtMfc1OKwILcgHV8V3aGpF27RlGtkvY+kka7Sf46O0UEfvWHCA8iD5rmU/W4bIpZUSu2WUWLM9+zGvjvDet7u99qOx/njxixolkOT3hZ4cDOVbI1Isw5gAvfCeWoVnbLQa0axBSUcEZ9r9UUsp3BopPEnpOCBYtPWS4+XcLZ6AyQio7F3M2UHX6VdU9OVCtq+lx1RLuoWcGiSrrlsur8jOkYqyAPWQOFWq/SxJB+/pF8PB8MxtzxSOqCoIjlJ02u7GYLUF1YM2DEmj4+9od9PLHoM+wp1OyA4E6/s5zM6uKOglNLe+r1oDroEn1BHKRO3SbAh58nxFILXzM42twQxGhq95vbpy1LMrFc6LtEZCf6AnIn+qoiTXqkAKo0u07N5Gj1yj+lMOTkHSNEJYzVjlahtOJbvs3XGwJjOmzK26xXf5nd/ZetS3jKu0RtqMtOtcr4ckyUCGPPfckotVqcfhCsBuqFsHD5rHtkGmYhdKxjlt6ygB+TjmqFSpTq9g6petGJmxwU5OGigs+lWgW01axgUSt0lwD6s98wciAJvYourvtTKkmlBVYqlDMnMi19UWuEyImQfrWbLBA4F8t8CGv5HpECbl6/XC6W9J+ghZstvBtqHDsFMlTjNckU4nBAbJmbwA4jM8GxwAwQm9TJAExWltOAp2PQffnle20xXhCZa731YloUb73BtvPSWS/Wk/eLnuWGlxqz6M1IDwZLlRbRPAhozkBx9uRD0xzuYkRkaCOxXEc9il5VJkYoyOCkhLPi0GJWA1v2ajnDh10T8d+txb9sxe5yZ+0mQWxVHC+IdlWl5QprhoOehZegI0c7d4lZGtPjC8tLXbSOhSLCfXGBc+VA7WPiHo/HxCPd9f49argJqVm2N0pxkefZVStNb42ThADEgpc8ynHPmfP91VwGH5MivM63KMba73xUHokpw+yv/GQvaKgor7B9Vfe8hr6LGs97+uJ/oXf+9Lh5cTWbyfogNPMpyr9Ww+/aIpzjBU72bIoJKSkdo2QHCCpStmAd9YWpcLL+/mDKsip1UGwWmjmcsGkTnSLO8E3Taw19TvvpX7nOHzr3P857nqumwBJk7TpYTR8hikSwx0mtUv8jy5jy4DQdQ6w+cpVVedUnuoSzsm0VzmqWcrjNvzZFx4LFn7fEYE+NFFqKd6mcgvQWoWk5vBC9Cj2PupQCGs5MHz5DxKkwRsN7JnG0KzbMsWgY0x21rQQdK+yShemObJejWulq1qxg0dL1C0qzBgE1TQKLIYAGuBAF1oz2KrlQpA4WlSoAzlNGjXwtAJACpZ0PzkNkDhaf7TcPn25nyyW7g9CrcMhig45ojdVlWgxdMaDiHCGQZDadQgO5/Bx6VUTzDtH/hdzCY2kWPPG28kWdoLpLmA9vznmLd8vB9/bN73vjDwt7gh0rkTOZoMYLINPgJnPnpUSw7RTZvPxnfxchMIkdDtQ7pwBNPoyCnp9EmZaiwllt2JLHprz1asHhNrtcCfIh+L9tp//idRZ+47b2vQ8sQ7MgyH44t9vp4boQ8QRPI9w0jekSfQXthMu0zOnz0UzoWKwVYrjhCiOEz9BMompMlF5xzOIK57mE+5oVrPNXCc6iV8FlE2PV+ck7EUaRvCIjEuP7RPgqgaVRZKsjl5B72bRmVFDmTeLRTafEHXe0XqVz1sb42gAFNdj1jZQ5f58lmF1y8uzznuxvpOLQLL2lRnoi4E9SCd2pUcC9pdckMH3oYn9Ys9eYz71Oy3V9e/q3lf2bbf+1u5zyTXTYMB8qsbuFCdwBOamwJTMXpiR5AGAUjGAXZCGEk2Q4kHW4y0GkaK6hb6BXMVnkIEq+glFE+UaFdlQ4q+Vs6nlR15+gndTHY7Aa+N8a0//a6PHyjhO8i65sLoTeiF6Fo1Xbxf2zd5LzbbS+ArEXpWNBDxYslsWY39nRneQlOtYl21MiciFJfakUbT0qVaRaZsSQNlZRnN6Q7+9WiKImaVaIp+YMWhYngQazZ/LVeVKQYyDaL2sEEsjYrHIeKg2xqIkf3TBisArJPUMwx2SrgI0iB74HuIOeUc/0HcC9vJsKLKtUCSQ7IbJWT55rRUQ/c/ny3rdWLXx0AOxazuod68obO+NMwd1YRhLV1zRZPBDtip5QH6JynMsiKxcKbIFF1ZhDwQomKxb3iDPMx7vtdPAxyQtnpRxRRLWK+ln9v40ZOhbVMtGxsmuP4MFq1W6yObA/OPV5zMykLLShshw5pWZXp+KbbreL/he4vdOmEEl/wGQFqSgeWS5ZFfHVV6xOBQul56Q2usBYBWfpz3Xh2km3+nh6NkgyifJ/JZlVN5FwUeigaULfx1HKkOnPKNmrV5hapKgr1eEdSkb5c0g/3BXnOOQ93EXIVQ2jukok+ZD7Ge5SqkW/gVJ+n4Gcqih9Tg/kWOpVo5VY+XM91w3Zqpy0Ywr1kAH5uWsNj59lJEaaPfJQ2AIVuofSq/gphH3IAJYNIVjkcJue7dprglkFq4GHXLs7yayCsEvzpWE5TseS1UDfIvJDt9sbOGnGmwRFNSQwqzKPX6COhQoFYehYV1dX1BO9StiuLr5zeMS+hRIWJNbAizpA1Klg0Sqn8HDXzmswjuvSNOs6mqAiDCWd9UbCihBqKCZEIFpoGf6PuYSliBzJWgPWM4OIkpxSrTPTY4BOrQRJu5BXGufLuOqh84wN1Gw0V7eb9srGSJLL4vhbrVqdrmXi+OLEEUMf0fGMVxGBaaTBLvhWyDSqRnOUU6ywQvn4zDE9N/CyarUcTg3MCWfFEjAHlbKRsHBoVdGxWMNtEISd4216qFbmYRfSeFYlDeMFTL40mxBNjx2LCA6Pj4/8xlZ7IVi76kM8V5Vqn6ZMm4hedTWhSe83rAWgoEoDhF91GatSsReO2NRSl5GInHoGOSntovQqkBPnJ40VVQRoGpznT6N7HDp2ndUqhlWcI4U9SuOVdAh/hr6RQlE8KbtaYVbHS5k9Z8M2K18uFx3DWRIOVGMt5jb5QSANc8qmMeEBBKCGJD6KylW/XG4TsoogKrIzdSzYW2U1UBYDV20MVhLOap1nslKrgbI5MLoamGq+CqqCjvV/WX0k5m2RPxb2KnHRazpdVgMrhV0IkB55g02IORebUObZ9kciKFMcXQplIHC0wiWLE3XQsZJ6CxYsErlOqjCY045yZf3www/fffcdrNSD37xwMidnCR15CmGwCKgbOImi9hRqTXt8cYYxbcJdz27bskgRl+zrTTylHr6p73QBLdNDPop0aQq3Tzq11FPNBJTDVJRerUSB4gQjQEaZdri0XkUJsSWqNJVyyom8uJYpOQrqpHoIxfJ7VwrcXVIB+OyCx7059JAUOGJS0XSdp/Mb80AIYxtkCsm1J0VoijyURqV5Ge3YFSKwgxe9Ch8epzNg3mExcLNeZhFDd5SYC2K0SstiUKH/avX+P38xT/scldJqNdBqub3BkDNu9v0lDdcZ0yCDiQat5Yw4I6gC1SqpMKVuLdSFtRbxvHM6Ix3t6pdffvn/AYiOaIFO77AZAAAAAElFTkSuQmCC"}}]}], "tools": [{"type": "function", "function": {"name": "get_scene_info", "description": "Get detailed information about the current Blender scene\n\n    Parameters:\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\n    ", "parameters": {"properties": {"user_prompt": {"title": "User Prompt", "type": "string"}}, "required": ["user_prompt"], "title": "get_scene_infoArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_object_info", "description": "\n    Get detailed information about a specific object in the Blender scene.\n\n    Parameters:\n    - object_name: The name of the object to get information about\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"object_name": {"title": "Object Name", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["object_name"], "title": "get_object_infoArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_viewport_screenshot", "description": "\n    Capture a screenshot of the current Blender 3D viewport.\n\n    Parameters:\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns the screenshot as an Image.\n    ", "parameters": {"properties": {"max_size": {"default": 1000, "title": "Max Size", "type": "integer"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_viewport_screenshotArguments", "type": "object"}}}, {"type": "function", "function": {"name": "execute_blender_code", "description": "\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"code": {"title": "Code", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["code"], "title": "execute_blender_codeArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_polyhaven_categories", "description": "\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"asset_type": {"default": "hdris", "title": "Asset Type", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_polyhaven_categoriesArguments", "type": "object"}}}, {"type": "function", "function": {"name": "search_polyhaven_assets", "description": "\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ", "parameters": {"properties": {"asset_type": {"default": "all", "title": "Asset Type", "type": "string"}, "categories": {"default": null, "title": "Categories", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "search_polyhaven_assetsArguments", "type": "object"}}}, {"type": "function", "function": {"name": "download_polyhaven_asset", "description": "\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"asset_id": {"title": "Asset Id", "type": "string"}, "asset_type": {"title": "Asset Type", "type": "string"}, "resolution": {"default": "1k", "title": "Resolution", "type": "string"}, "file_format": {"default": null, "title": "File Format", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["asset_id", "asset_type"], "title": "download_polyhaven_assetArguments", "type": "object"}}}, {"type": "function", "function": {"name": "set_texture", "description": "\n    Apply a previously downloaded Polyhaven texture to an object.\n    \n    Parameters:\n    - object_name: Name of the object to apply the texture to\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\n    \n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"object_name": {"title": "Object Name", "type": "string"}, "texture_id": {"title": "Texture Id", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["object_name", "texture_id"], "title": "set_textureArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_polyhaven_status", "description": "\n    Check if PolyHaven integration is enabled in Blender.\n    Returns a message indicating whether PolyHaven features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_polyhaven_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_hyper3d_status", "description": "\n    Check if Hyper3D Rodin integration is enabled in Blender.\n    Returns a message indicating whether Hyper3D Rodin features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_hyper3d_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_sketchfab_status", "description": "\n    Check if Sketchfab integration is enabled in Blender.\n    Returns a message indicating whether Sketchfab features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_sketchfab_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "search_sketchfab_models", "description": "\n    Search for models on Sketchfab with optional filtering.\n\n    Parameters:\n    - query: Text to search for\n    - categories: Optional comma-separated list of categories\n    - count: Maximum number of results to return (default 20)\n    - downloadable: Whether to include only downloadable models (default True)\n\n    Returns a formatted list of matching models.\n    ", "parameters": {"properties": {"query": {"title": "Query", "type": "string"}, "categories": {"default": null, "title": "Categories", "type": "string"}, "count": {"default": 20, "title": "Count", "type": "integer"}, "downloadable": {"default": true, "title": "Downloadable", "type": "boolean"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["query"], "title": "search_sketchfab_modelsArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_sketchfab_model_preview", "description": "\n    Get a preview thumbnail of a Sketchfab model by its UID.\n    Use this to visually confirm a model before downloading.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\n    \n    Returns the model's thumbnail as an Image for visual confirmation.\n    ", "parameters": {"properties": {"uid": {"title": "Uid", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["uid"], "title": "get_sketchfab_model_previewArguments", "type": "object"}}}, {"type": "function", "function": {"name": "download_sketchfab_model", "description": "\n    Download and import a Sketchfab model by its UID.\n    The model will be scaled so its largest dimension equals target_size.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\n                  You must specify the desired size for the model.\n                  Examples:\n                  - Chair: target_size=1.0 (1 meter tall)\n                  - Table: target_size=0.75 (75cm tall)\n                  - Car: target_size=4.5 (4.5 meters long)\n                  - Person: target_size=1.7 (1.7 meters tall)\n                  - Small object (cup, phone): target_size=0.1 to 0.3\n    \n    Returns a message with import details including object names, dimensions, and bounding box.\n    The model must be downloadable and you must have proper access rights.\n    ", "parameters": {"properties": {"uid": {"title": "Uid", "type": "string"}, "target_size": {"title": "Target Size", "type": "number"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["uid", "target_size"], "title": "download_sketchfab_modelArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hyper3d_model_via_text", "description": "\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n\n    Parameters:\n    - text_prompt: A short description of the desired model in **English**.\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"text_prompt": {"title": "Text Prompt", "type": "string"}, "bbox_condition": {"default": null, "items": {"type": "number"}, "title": "Bbox Condition", "type": "array"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["text_prompt"], "title": "generate_hyper3d_model_via_textArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hyper3d_model_via_images", "description": "\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n    \n    Parameters:\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"input_image_paths": {"default": null, "items": {"type": "string"}, "title": "Input Image Paths", "type": "array"}, "input_image_urls": {"default": null, "items": {"type": "string"}, "title": "Input Image Urls", "type": "array"}, "bbox_condition": {"default": null, "items": {"type": "number"}, "title": "Bbox Condition", "type": "array"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "generate_hyper3d_model_via_imagesArguments", "type": "object"}}}, {"type": "function", "function": {"name": "poll_rodin_job_status", "description": "\n    Check if the Hyper3D Rodin generation task is completed.\n\n    For Hyper3D Rodin mode MAIN_SITE:\n        Parameters:\n        - subscription_key: The subscription_key given in the generate model step.\n\n        Returns a list of status. The task is done if all status are \"Done\".\n        If \"Failed\" showed up, the generating process failed.\n        This is a polling API, so only proceed if the status are finally determined (\"Done\" or \"Canceled\").\n\n    For Hyper3D Rodin mode FAL_AI:\n        Parameters:\n        - request_id: The request_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"COMPLETED\".\n        The task is in progress if status is \"IN_PROGRESS\".\n        If status other than \"COMPLETED\", \"IN_PROGRESS\", \"IN_QUEUE\" showed up, the generating process might be failed.\n        This is a polling API, so only proceed if the status are finally determined (\"COMPLETED\" or some failed state).\n    ", "parameters": {"properties": {"subscription_key": {"default": null, "title": "Subscription Key", "type": "string"}, "request_id": {"default": null, "title": "Request Id", "type": "string"}}, "title": "poll_rodin_job_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "import_generated_asset", "description": "\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\n\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\n    Return if the asset has been imported successfully.\n    ", "parameters": {"properties": {"name": {"title": "Name", "type": "string"}, "task_uuid": {"default": null, "title": "Task Uuid", "type": "string"}, "request_id": {"default": null, "title": "Request Id", "type": "string"}}, "required": ["name"], "title": "import_generated_assetArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_hunyuan3d_status", "description": "\n    Check if Hunyuan3D integration is enabled in Blender.\n    Returns a message indicating whether Hunyuan3D features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_hunyuan3d_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hunyuan3d_model", "description": "\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \n    or both for the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    \n    Parameters:\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\n\n    Returns: \n    - When successful, returns a JSON with job_id (format: \"job_xxx\") indicating the task is in progress\n    - When the job completes, the status will change to \"DONE\" indicating the model has been imported\n    - Returns error message if the operation fails\n    ", "parameters": {"properties": {"text_prompt": {"default": null, "title": "Text Prompt", "type": "string"}, "input_image_url": {"default": null, "title": "Input Image Url", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "generate_hunyuan3d_modelArguments", "type": "object"}}}, {"type": "function", "function": {"name": "poll_hunyuan_job_status", "description": "\n    Check if the Hunyuan3D generation task is completed.\n\n    For Hunyuan3D:\n        Parameters:\n        - job_id: The job_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"DONE\".\n        The task is in progress if status is \"RUN\".\n        If status is \"DONE\", returns ResultFile3Ds, which is the generated ZIP model path\n        When the status is \"DONE\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\n        This is a polling API, so only proceed if the status are finally determined (\"DONE\" or some failed state).\n    ", "parameters": {"properties": {"job_id": {"default": null, "title": "Job Id", "type": "string"}}, "title": "poll_hunyuan_job_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "import_generated_asset_hunyuan", "description": "\n    Import the asset generated by Hunyuan3D after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - zip_file_url: The zip_file_url given in the generate model step.\n\n    Return if the asset has been imported successfully.\n    ", "parameters": {"properties": {"name": {"title": "Name", "type": "string"}, "zip_file_url": {"title": "Zip File Url", "type": "string"}}, "required": ["name", "zip_file_url"], "title": "import_generated_asset_hunyuanArguments", "type": "object"}}}]}, "provider_attempts": [{"provider": "openrouter", "attempt": 1, "started_at": "2026-07-15T10:44:08.985929+00:00", "finished_at": "2026-07-15T10:44:14.978234+00:00", "duration_s": 5.985000000015134, "request": {"method": "POST", "url": "https://openrouter.ai/api/v1/chat/completions", "headers": {"host": "openrouter.ai", "accept": "*/*", "accept-encoding": "gzip, deflate", "connection": "keep-alive", "user-agent": "python-httpx/0.28.1", "authorization": "[REDACTED]", "content-length": "311624", "content-type": "application/json"}, "body": "{\"model\":\"openai/gpt-5.6-luna\",\"messages\":[{\"role\":\"system\",\"content\":\"You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\\n\\nYour result will be compared head-to-head with another model. Anyone on the internet can vote, based only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\\n\\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\\n\\nThe final published capture is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. The saved scene is also exported to GLB with geometry, materials, the contestant camera, and supported lights for interactive inspection. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\\n\\n## Harness Instructions\\n\\nYou are operating Blender through the provided tools. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. The saved scene is also exported to GLB with geometry, materials, your camera, and supported lights for interactive inspection. When you are finished, reply with the single word DONE and no tool calls.\"},{\"role\":\"user\",\"content\":\"## Task\\n\\nComplete the following Blender task:\\n\\n<task>\\n\\nAn abandoned village slowly reclaimed by nature. Weathered houses with rusted, corroded metal roofs; overgrown foliage creeping up the walls and through broken windows; moss, grass, and vines spreading across the ground and over the rooftops. Convey age, decay, and the quiet return of the wild.\\n\\n</task>\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_s9v2v9ySjVU6WCYi6Ln00BCX\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, math, random\\\\nfrom mathutils import Vector\\\\nrandom.seed(12)\\\\n# clear\\\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\\\nfor d in (bpy.data.materials, bpy.data.curves, bpy.data.meshes, bpy.data.cameras, bpy.data.lights):\\\\n    pass\\\\n# mats\\\\ndef mat(name,color,rough=0.8,metal=0):\\\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True\\\\n bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal\\\\n return m\\\\nwall=mat('Weathered plaster',(0.27,0.25,0.20)); wall2=mat('Faded ochre plaster',(0.34,0.29,0.20)); wood=mat('Dark rotting timber',(0.12,0.07,0.035)); roof=mat('Rust corroded metal',(0.20,0.075,0.035),.62,.55); roof2=mat('Old blue rust',(0.10,0.13,0.13),.7,.4); dark=mat('Window darkness',(0.012,0.018,0.015)); glass=mat('Broken glass',(0.12,0.22,0.20),.25); moss=mat('Moss',(0.12,0.22,0.07)); vine=mat('Ivy leaves',(0.08,0.18,0.035)); grass=mat('Wild grass',(0.16,0.28,0.06)); earth=mat('Earth',(0.12,0.085,0.045)); stone=mat('Mossy stones',(0.24,0.25,0.18)); leaf=mat('Tree foliage',(0.06,0.15,0.035));\\\\ndef cube(n,loc,scale,ma,bev=0):\\\\n bpy.ops.mesh.primitive_cube_add(location=loc); o=bpy.context.object; o.name=n; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\\\n if bev: mod=o.modifiers.new('soft eroded edges','BEVEL'); mod.width=bev; mod.segments=2\\\\n o.data.materials.append(ma); return o\\\\ndef cyl(n,loc,r,depth,ma,verts=8):\\\\n bpy.ops.mesh.primitive_cylinder_add(vertices=verts,radius=r,depth=depth,location=loc); o=bpy.context.object;o.name=n;o.data.materials.append(ma); return o\\\\ndef uv(n,loc,scale,ma):\\\\n bpy.ops.mesh.primitive_ico_sphere_add(subdivisions=1,radius=1,location=loc);o=bpy.context.object;o.name=n;o.scale=scale;o.data.materials.append(ma);return o\\\\ndef curve(n,pts,bevel,ma):\\\\n cu=bpy.data.curves.new(n,'CURVE');cu.dimensions='3D';cu.bevel_depth=bevel;cu.bevel_resolution=2; sp=cu.splines.new('BEZIER');sp.bezier_points.add(len(pts)-1)\\\\n for p,co in zip(sp.bezier_points,pts): p.co=co;p.handle_left_type='AUTO';p.handle_right_type='AUTO'\\\\n o=bpy.data.objects.new(n,cu);bpy.context.collection.objects.link(o);o.data.materials.append(ma);return o\\\\n# ground\\\\ncube('Earth clearing',(0,0,-0.35),(10,8,.35),earth,.15)\\\\n# cobbled path\\\\nfor i in range(22):\\\\n x=-7+i*.55+random.uniform(-.12,.12); y=-5.8+random.uniform(-.35,.35)\\\\n cube('buried cobble',(x,y,0.05),(0.25+random.random()*.18,.32,.08),stone,.08).rotation_euler[2]=random.uniform(-.3,.3)\\\\n# house function orientation z, dimensions\\\\n\\\\ndef house(name,x,y,w,d,h,ang,ma,roofmat,broken=True):\\\\n # parent empty\\\\n base=cube(name+' walls',(x,y,h/2),(w/2,d/2,h/2),ma,.08); base.rotation_euler[2]=ang\\\\n # roof two slabs pitched along x local, ridge along y\\\\n for side in (-1,1):\\\\n  r=cube(name+' rusted roof',(x+side*0.30*math.cos(ang),y+side*0.30*math.sin(ang),h+0.72),(w*.40,d/2+.22,.10),roofmat,.035)\\\\n  r.rotation_euler[2]=ang; r.rotation_euler[1]=side*math.radians(32)\\\\n # ridge\\\\n ridge=cube(name+' roof ridge',(x,y,h+1.02),(.13,d/2+.3,.13),roofmat,.03); ridge.rotation_euler[2]=ang\\\\n # doors and windows as dark planes placed on front/back using local coords\\\\n # front y local -d/2\\\\n for lx in (-w*.27,w*.27):\\\\n  px=x+lx*math.cos(ang)-(-d/2-.012)*math.sin(ang); py=y+lx*math.sin(ang)+(-d/2-.012)*math.cos(ang)\\\\n  q=cube(name+' broken window',(px,py,h*.56),(w*.13,.025,h*.16),dark,.02);q.rotation_euler[2]=ang\\\\n  # crooked frame\\\\n  for xx in (-w*.13,w*.13):\\\\n   fx=x+(lx+xx)*math.cos(ang)-(-d/2-.045)*math.sin(ang);fy=y+(lx+xx)*math.sin(ang)+(-d/2-.045)*math.cos(ang)\\\\n   f=cube('splintered window frame',(fx,fy,h*.56),(.025,.04,h*.18),wood);f.rotation_euler[2]=ang\\\\n  # cross diagonal broken glass\\\\n  p1=(x+(lx-w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx-w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.48)\\\\n  p2=(x+(lx+w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx+w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.64)\\\\n  curve('cracked window',[p1,p2],.012,glass)\\\\n # door\\\\n px=x- w*.12*math.cos(ang)-(-d/2-.02)*math.sin(ang);py=y-w*.12*math.sin(ang)+(-d/2-.02)*math.cos(ang)\\\\n door=cube(name+' sagging door',(px,py,h*.34),(w*.18,.035,h*.34),wood,.03);door.rotation_euler[2]=ang\\\\n # timber braces on front\\\\n for z in (h*.25,h*.72):\\\\n  b=cube(name+' exposed beam',(x,y-d/2-.06,z), (w/2,.07,.06),wood);b.rotation_euler[2]=ang\\\\n # moss patches along base\\\\n for i in range(7):\\\\n  lx=random.uniform(-w/2,w/2); side=random.choice([-1,1]); px=x+lx*math.cos(ang)-side*d/2*math.sin(ang);py=y+lx*math.sin(ang)+side*d/2*math.cos(ang)\\\\n  uv('moss on wall',(px,py+random.uniform(-.04,.04),random.uniform(.25,.65)),(.18,.06,.13),moss)\\\\n return base\\\\nhouse('North cottage',0,1.9,4.2,3.0,2.8,.08,wall,roof)\\\\nhouse('West cottage',-5,1.0,3.5,2.8,2.5,-.18,wall2,roof2)\\\\nhouse('East cottage',5,2.8,3.3,2.6,2.35,.25,wall,roof)\\\\n# collapsed shed / ruin\\\\ncube('collapsed stone wall',(1.7,-2.0,1.0),(2.0,.28,1.0),stone,.08); cube('fallen roof',(2,-2.0,2.15),(1.8,1.2,.12),roof,.05).rotation_euler[1]=.18\\\\n# roof corrugation bars and rust patches across visible roofs\\\\nfor hx,hy,w,d,h,ang in [(0,1.9,4.2,3,2.8,.08),(-5,1,3.5,2.8,2.5,-.18),(5,2.8,3.3,2.6,2.35,.25)]:\\\\n for side in (-1,1):\\\\n  for j in range(7):\\\\n   ly=-d/2+j*d/6; # local y\\\\n   xx=hx+side*.30*math.cos(ang)-ly*math.sin(ang); yy=hy+side*.30*math.sin(ang)+ly*math.cos(ang)\\\\n   bar=cube('roof corrugation',(xx,yy,h+.72+abs(.30)*.0),(w*.39,.018,.035),roof2 if side<0 else roof,.02);bar.rotation_euler[2]=ang;bar.rotation_euler[1]=side*math.radians(32)\\\\n# vegetation grass clumps\\\\nfor i in range(150):\\\\n x=random.uniform(-9,9); y=random.uniform(-6.5,6.5)\\\\n if random.random()<.55 and y>4: continue\\\\n z=.05\\\\n for k in range(random.randint(2,5)):\\\\n  xx=x+random.uniform(-.18,.18); yy=y+random.uniform(-.18,.18); ht=random.uniform(.18,.55)\\\\n  curve('grass blade',[(xx,yy,z),(xx+random.uniform(-.12,.12),yy, z+ht*.65),(xx+random.uniform(-.18,.18),yy,z+ht)],.018,grass)\\\\n# vines climbing fronts and roof edges\\\\nfor x,y in [(-1.7,.35),(1.5,.35),(-6.3,-.4),(4.1,1.4),(6.1,3.0)]:\\\\n pts=[(x,y-.04,.15),(x+.12,y-.05,.9),(x-.08,y-.03,1.7),(x+.18,y-.05,2.45),(x+.35,y-.1,3.25)]\\\\n curve('climbing vine',pts,.035,vine)\\\\n for p in pts[1:]: uv('ivy leaf',(p[0]+random.uniform(-.12,.12),p[1]-.05,p[2]),(.13,.04,.09),vine)\\\\n# back trees\\\\nfor x,y in [(-8,5.5),(-6,6.2),(7,5.8),(8,3.8)]:\\\\n cyl('dead tree trunk',(x,y,2.0),.22,4,wood,7)\\\\n curve('gnarled branch',[(x,y,3),(x+random.uniform(-1,1),y,4),(x+random.uniform(-1.5,1.5),y,5)],.10,wood)\\\\n for k in range(8): uv('wild tree crown',(x+random.uniform(-1.4,1.4),y+random.uniform(-.4,.5),4.4+random.uniform(-.4,1.2)),(.7,.55,.65),leaf)\\\\n# stones foreground\\\\nfor i in range(24):\\\\n x=random.uniform(-8,8); y=random.uniform(-6,-2); uv('mossy stone',(x,y,.18),(random.uniform(.12,.35),random.uniform(.12,.3),random.uniform(.1,.25)),stone)\\\\n# camera\\\\nbpy.ops.object.camera_add(location=(11,-15,10)); cam=bpy.context.object;cam.name='Presentation Camera';bpy.context.scene.camera=cam\\\\ndef track(obj,pt): obj.rotation_euler=(Vector(pt)-obj.location).to_track_quat('-Z','Y').to_euler()\\\\ntrack(cam,(0,1,1.8));cam.data.lens=48\\\\n# lighting\\\\nbpy.ops.object.light_add(type='AREA', location=(2,-4,11)); key=bpy.context.object;key.name='Soft moonlight';key.data.energy=1500;key.data.shape='DISK';key.data.size=8;track(key,(0,1,0))\\\\nbpy.ops.object.light_add(type='AREA', location=(-8,-3,5)); fill=bpy.context.object;fill.data.energy=700;fill.data.color=(0.32,0.45,0.55);fill.data.size=7;track(fill,(0,1,1))\\\\nbpy.ops.object.light_add(type='POINT', location=(0,-2,3));bpy.context.object.data.energy=180;bpy.context.object.data.color=(1.0,.32,.10)\\\\n# world\\\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World');bpy.context.scene.world=world;world.use_nodes=True;world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\\\nscene=bpy.context.scene;scene.render.engine='BLENDER_EEVEE_NEXT';scene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\\\nscene.view_settings.look='AgX - Medium High Contrast'\\\\n# ground fog-like large plane? no\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('DONE scene',len(bpy.context.scene.objects))\\\",\\\"user_prompt\\\":\\\"Create an abandoned village slowly reclaimed by nature with weathered houses, rusted roofs, broken windows, moss, grass, vines, and a clear presentation render.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_s9v2v9ySjVU6WCYi6Ln00BCX\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \\\"BLENDER_EEVEE_NEXT\\\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_otbflqLlIn9N1MS321DTkK78\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nscene=bpy.context.scene\\\\nscene.render.engine='BLENDER_EEVEE'\\\\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\\\nscene.view_settings.look='AgX - Medium High Contrast'\\\\nworld=scene.world\\\\nif world:\\\\n world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('saved',len(scene.objects))\\\",\\\"user_prompt\\\":\\\"Finish and save the abandoned village scene and render a presentation image.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_otbflqLlIn9N1MS321DTkK78\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\\\apps\\\\console\\\\tmp\\\\abandoned_village.blend@ for writing: No such file or directory\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_7E6RB6C3zV0Ohab0XexavM4e\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nscene=bpy.context.scene\\\\nscene.render.engine='BLENDER_EEVEE'\\\\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='//abandoned_village.png'\\\\nscene.view_settings.look='AgX - Medium High Contrast'\\\\nif scene.world:\\\\n scene.world.use_nodes=True; scene.world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); scene.world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\\\nbpy.ops.wm.save_as_mainfile(filepath='//abandoned_village.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('saved',len(scene.objects))\\\",\\\"user_prompt\\\":\\\"Finish and save the abandoned village scene and render a presentation image.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_7E6RB6C3zV0Ohab0XexavM4e\",\"content\":\"Code executed successfully: Info: Saved as \\\"abandoned_village.blend\\\"\\nsaved 715\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_ufoxdMEkZL4zaWObKwZ3EXM6\",\"type\":\"function\",\"function\":{\"name\":\"get_viewport_screenshot\",\"arguments\":\"{\\\"max_size\\\":800,\\\"user_prompt\\\":\\\"Inspect the finished abandoned village presentation.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_ufoxdMEkZL4zaWObKwZ3EXM6\",\"content\":\"\"},{\"role\":\"user\",\"content\":[{\"type\":\"image_url\",\"image_url\":{\"url\":\"data:image/png;base64,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\"}}]}],\"usage\":{\"include\":true},\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"description\":\"Get detailed information about the current Blender scene\\n\\n    Parameters:\\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"user_prompt\"],\"title\":\"get_scene_infoArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_object_info\",\"description\":\"\\n    Get detailed information about a specific object in the Blender scene.\\n\\n    Parameters:\\n    - object_name: The name of the object to get information about\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\"],\"title\":\"get_object_infoArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_viewport_screenshot\",\"description\":\"\\n    Capture a screenshot of the current Blender 3D viewport.\\n\\n    Parameters:\\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns the screenshot as an Image.\\n    \",\"parameters\":{\"properties\":{\"max_size\":{\"default\":1000,\"title\":\"Max Size\",\"type\":\"integer\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_viewport_screenshotArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"description\":\"\\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\\n\\n    Parameters:\\n    - code: The Python code to execute\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"code\":{\"title\":\"Code\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"code\"],\"title\":\"execute_blender_codeArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_categories\",\"description\":\"\\n    Get a list of categories for a specific asset type on Polyhaven.\\n\\n    Parameters:\\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"hdris\",\"title\":\"Asset Type\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_categoriesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_polyhaven_assets\",\"description\":\"\\n    Search for assets on Polyhaven with optional filtering.\\n\\n    Parameters:\\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\\n    - categories: Optional comma-separated list of categories to filter by\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a list of matching assets with basic information.\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"all\",\"title\":\"Asset Type\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"search_polyhaven_assetsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_polyhaven_asset\",\"description\":\"\\n    Download and import a Polyhaven asset into Blender.\\n\\n    Parameters:\\n    - asset_id: The ID of the asset to download\\n    - asset_type: The type of asset (hdris, textures, models)\\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"asset_id\":{\"title\":\"Asset Id\",\"type\":\"string\"},\"asset_type\":{\"title\":\"Asset Type\",\"type\":\"string\"},\"resolution\":{\"default\":\"1k\",\"title\":\"Resolution\",\"type\":\"string\"},\"file_format\":{\"default\":null,\"title\":\"File Format\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"asset_id\",\"asset_type\"],\"title\":\"download_polyhaven_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"set_texture\",\"description\":\"\\n    Apply a previously downloaded Polyhaven texture to an object.\\n    \\n    Parameters:\\n    - object_name: Name of the object to apply the texture to\\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\\n    \\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"texture_id\":{\"title\":\"Texture Id\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\",\"texture_id\"],\"title\":\"set_textureArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_status\",\"description\":\"\\n    Check if PolyHaven integration is enabled in Blender.\\n    Returns a message indicating whether PolyHaven features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hyper3d_status\",\"description\":\"\\n    Check if Hyper3D Rodin integration is enabled in Blender.\\n    Returns a message indicating whether Hyper3D Rodin features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hyper3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_status\",\"description\":\"\\n    Check if Sketchfab integration is enabled in Blender.\\n    Returns a message indicating whether Sketchfab features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_sketchfab_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_sketchfab_models\",\"description\":\"\\n    Search for models on Sketchfab with optional filtering.\\n\\n    Parameters:\\n    - query: Text to search for\\n    - categories: Optional comma-separated list of categories\\n    - count: Maximum number of results to return (default 20)\\n    - downloadable: Whether to include only downloadable models (default True)\\n\\n    Returns a formatted list of matching models.\\n    \",\"parameters\":{\"properties\":{\"query\":{\"title\":\"Query\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"count\":{\"default\":20,\"title\":\"Count\",\"type\":\"integer\"},\"downloadable\":{\"default\":true,\"title\":\"Downloadable\",\"type\":\"boolean\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"query\"],\"title\":\"search_sketchfab_modelsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_model_preview\",\"description\":\"\\n    Get a preview thumbnail of a Sketchfab model by its UID.\\n    Use this to visually confirm a model before downloading.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\\n    \\n    Returns the model's thumbnail as an Image for visual confirmation.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\"],\"title\":\"get_sketchfab_model_previewArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_sketchfab_model\",\"description\":\"\\n    Download and import a Sketchfab model by its UID.\\n    The model will be scaled so its largest dimension equals target_size.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model\\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\\n                  You must specify the desired size for the model.\\n                  Examples:\\n                  - Chair: target_size=1.0 (1 meter tall)\\n                  - Table: target_size=0.75 (75cm tall)\\n                  - Car: target_size=4.5 (4.5 meters long)\\n                  - Person: target_size=1.7 (1.7 meters tall)\\n                  - Small object (cup, phone): target_size=0.1 to 0.3\\n    \\n    Returns a message with import details including object names, dimensions, and bounding box.\\n    The model must be downloadable and you must have proper access rights.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"target_size\":{\"title\":\"Target Size\",\"type\":\"number\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\",\"target_size\"],\"title\":\"download_sketchfab_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_text\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n\\n    Parameters:\\n    - text_prompt: A short description of the desired model in **English**.\\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"title\":\"Text Prompt\",\"type\":\"string\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"text_prompt\"],\"title\":\"generate_hyper3d_model_via_textArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_images\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n    \\n    Parameters:\\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"input_image_paths\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Paths\",\"type\":\"array\"},\"input_image_urls\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Urls\",\"type\":\"array\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hyper3d_model_via_imagesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_rodin_job_status\",\"description\":\"\\n    Check if the Hyper3D Rodin generation task is completed.\\n\\n    For Hyper3D Rodin mode MAIN_SITE:\\n        Parameters:\\n        - subscription_key: The subscription_key given in the generate model step.\\n\\n        Returns a list of status. The task is done if all status are \\\"Done\\\".\\n        If \\\"Failed\\\" showed up, the generating process failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"Done\\\" or \\\"Canceled\\\").\\n\\n    For Hyper3D Rodin mode FAL_AI:\\n        Parameters:\\n        - request_id: The request_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"COMPLETED\\\".\\n        The task is in progress if status is \\\"IN_PROGRESS\\\".\\n        If status other than \\\"COMPLETED\\\", \\\"IN_PROGRESS\\\", \\\"IN_QUEUE\\\" showed up, the generating process might be failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"COMPLETED\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"subscription_key\":{\"default\":null,\"title\":\"Subscription Key\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"title\":\"poll_rodin_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset\",\"description\":\"\\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\\n\\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"task_uuid\":{\"default\":null,\"title\":\"Task Uuid\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"required\":[\"name\"],\"title\":\"import_generated_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hunyuan3d_status\",\"description\":\"\\n    Check if Hunyuan3D integration is enabled in Blender.\\n    Returns a message indicating whether Hunyuan3D features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hunyuan3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hunyuan3d_model\",\"description\":\"\\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \\n    or both for the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    \\n    Parameters:\\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\\n\\n    Returns: \\n    - When successful, returns a JSON with job_id (format: \\\"job_xxx\\\") indicating the task is in progress\\n    - When the job completes, the status will change to \\\"DONE\\\" indicating the model has been imported\\n    - Returns error message if the operation fails\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"default\":null,\"title\":\"Text Prompt\",\"type\":\"string\"},\"input_image_url\":{\"default\":null,\"title\":\"Input Image Url\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hunyuan3d_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_hunyuan_job_status\",\"description\":\"\\n    Check if the Hunyuan3D generation task is completed.\\n\\n    For Hunyuan3D:\\n        Parameters:\\n        - job_id: The job_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"DONE\\\".\\n        The task is in progress if status is \\\"RUN\\\".\\n        If status is \\\"DONE\\\", returns ResultFile3Ds, which is the generated ZIP model path\\n        When the status is \\\"DONE\\\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"DONE\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"job_id\":{\"default\":null,\"title\":\"Job Id\",\"type\":\"string\"}},\"title\":\"poll_hunyuan_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset_hunyuan\",\"description\":\"\\n    Import the asset generated by Hunyuan3D after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - zip_file_url: The zip_file_url given in the generate model step.\\n\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"zip_file_url\":{\"title\":\"Zip File Url\",\"type\":\"string\"}},\"required\":[\"name\",\"zip_file_url\"],\"title\":\"import_generated_asset_hunyuanArguments\",\"type\":\"object\"}}}]}", "body_base64": "{"model":"openai/gpt-5.6-luna","messages":[{"role":"system","content":"You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\n\nYour result will be compared head-to-head with another model. Anyone on the internet can vote, based only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\n\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\n\nThe final published capture is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. The saved scene is also exported to GLB with geometry, materials, the contestant camera, and supported lights for interactive inspection. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\n\n## Harness Instructions\n\nYou are operating Blender through the provided tools. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. The saved scene is also exported to GLB with geometry, materials, your camera, and supported lights for interactive inspection. When you are finished, reply with the single word DONE and no tool calls."},{"role":"user","content":"## Task\n\nComplete the following Blender task:\n\n<task>\n\nAn abandoned village slowly reclaimed by nature. Weathered houses with rusted, corroded metal roofs; overgrown foliage creeping up the walls and through broken windows; moss, grass, and vines spreading across the ground and over the rooftops. Convey age, decay, and the quiet return of the wild.\n\n</task>"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_s9v2v9ySjVU6WCYi6Ln00BCX","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, math, random\\nfrom mathutils import Vector\\nrandom.seed(12)\\n# clear\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\nfor d in (bpy.data.materials, bpy.data.curves, bpy.data.meshes, bpy.data.cameras, bpy.data.lights):\\n    pass\\n# mats\\ndef mat(name,color,rough=0.8,metal=0):\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True\\n bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal\\n return m\\nwall=mat('Weathered plaster',(0.27,0.25,0.20)); wall2=mat('Faded ochre plaster',(0.34,0.29,0.20)); wood=mat('Dark rotting timber',(0.12,0.07,0.035)); roof=mat('Rust corroded metal',(0.20,0.075,0.035),.62,.55); roof2=mat('Old blue rust',(0.10,0.13,0.13),.7,.4); dark=mat('Window darkness',(0.012,0.018,0.015)); glass=mat('Broken glass',(0.12,0.22,0.20),.25); moss=mat('Moss',(0.12,0.22,0.07)); vine=mat('Ivy leaves',(0.08,0.18,0.035)); grass=mat('Wild grass',(0.16,0.28,0.06)); earth=mat('Earth',(0.12,0.085,0.045)); stone=mat('Mossy stones',(0.24,0.25,0.18)); leaf=mat('Tree foliage',(0.06,0.15,0.035));\\ndef cube(n,loc,scale,ma,bev=0):\\n bpy.ops.mesh.primitive_cube_add(location=loc); o=bpy.context.object; o.name=n; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\n if bev: mod=o.modifiers.new('soft eroded edges','BEVEL'); mod.width=bev; mod.segments=2\\n o.data.materials.append(ma); return o\\ndef cyl(n,loc,r,depth,ma,verts=8):\\n bpy.ops.mesh.primitive_cylinder_add(vertices=verts,radius=r,depth=depth,location=loc); o=bpy.context.object;o.name=n;o.data.materials.append(ma); return o\\ndef uv(n,loc,scale,ma):\\n bpy.ops.mesh.primitive_ico_sphere_add(subdivisions=1,radius=1,location=loc);o=bpy.context.object;o.name=n;o.scale=scale;o.data.materials.append(ma);return o\\ndef curve(n,pts,bevel,ma):\\n cu=bpy.data.curves.new(n,'CURVE');cu.dimensions='3D';cu.bevel_depth=bevel;cu.bevel_resolution=2; sp=cu.splines.new('BEZIER');sp.bezier_points.add(len(pts)-1)\\n for p,co in zip(sp.bezier_points,pts): p.co=co;p.handle_left_type='AUTO';p.handle_right_type='AUTO'\\n o=bpy.data.objects.new(n,cu);bpy.context.collection.objects.link(o);o.data.materials.append(ma);return o\\n# ground\\ncube('Earth clearing',(0,0,-0.35),(10,8,.35),earth,.15)\\n# cobbled path\\nfor i in range(22):\\n x=-7+i*.55+random.uniform(-.12,.12); y=-5.8+random.uniform(-.35,.35)\\n cube('buried cobble',(x,y,0.05),(0.25+random.random()*.18,.32,.08),stone,.08).rotation_euler[2]=random.uniform(-.3,.3)\\n# house function orientation z, dimensions\\n\\ndef house(name,x,y,w,d,h,ang,ma,roofmat,broken=True):\\n # parent empty\\n base=cube(name+' walls',(x,y,h/2),(w/2,d/2,h/2),ma,.08); base.rotation_euler[2]=ang\\n # roof two slabs pitched along x local, ridge along y\\n for side in (-1,1):\\n  r=cube(name+' rusted roof',(x+side*0.30*math.cos(ang),y+side*0.30*math.sin(ang),h+0.72),(w*.40,d/2+.22,.10),roofmat,.035)\\n  r.rotation_euler[2]=ang; r.rotation_euler[1]=side*math.radians(32)\\n # ridge\\n ridge=cube(name+' roof ridge',(x,y,h+1.02),(.13,d/2+.3,.13),roofmat,.03); ridge.rotation_euler[2]=ang\\n # doors and windows as dark planes placed on front/back using local coords\\n # front y local -d/2\\n for lx in (-w*.27,w*.27):\\n  px=x+lx*math.cos(ang)-(-d/2-.012)*math.sin(ang); py=y+lx*math.sin(ang)+(-d/2-.012)*math.cos(ang)\\n  q=cube(name+' broken window',(px,py,h*.56),(w*.13,.025,h*.16),dark,.02);q.rotation_euler[2]=ang\\n  # crooked frame\\n  for xx in (-w*.13,w*.13):\\n   fx=x+(lx+xx)*math.cos(ang)-(-d/2-.045)*math.sin(ang);fy=y+(lx+xx)*math.sin(ang)+(-d/2-.045)*math.cos(ang)\\n   f=cube('splintered window frame',(fx,fy,h*.56),(.025,.04,h*.18),wood);f.rotation_euler[2]=ang\\n  # cross diagonal broken glass\\n  p1=(x+(lx-w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx-w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.48)\\n  p2=(x+(lx+w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx+w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.64)\\n  curve('cracked window',[p1,p2],.012,glass)\\n # door\\n px=x- w*.12*math.cos(ang)-(-d/2-.02)*math.sin(ang);py=y-w*.12*math.sin(ang)+(-d/2-.02)*math.cos(ang)\\n door=cube(name+' sagging door',(px,py,h*.34),(w*.18,.035,h*.34),wood,.03);door.rotation_euler[2]=ang\\n # timber braces on front\\n for z in (h*.25,h*.72):\\n  b=cube(name+' exposed beam',(x,y-d/2-.06,z), (w/2,.07,.06),wood);b.rotation_euler[2]=ang\\n # moss patches along base\\n for i in range(7):\\n  lx=random.uniform(-w/2,w/2); side=random.choice([-1,1]); px=x+lx*math.cos(ang)-side*d/2*math.sin(ang);py=y+lx*math.sin(ang)+side*d/2*math.cos(ang)\\n  uv('moss on wall',(px,py+random.uniform(-.04,.04),random.uniform(.25,.65)),(.18,.06,.13),moss)\\n return base\\nhouse('North cottage',0,1.9,4.2,3.0,2.8,.08,wall,roof)\\nhouse('West cottage',-5,1.0,3.5,2.8,2.5,-.18,wall2,roof2)\\nhouse('East cottage',5,2.8,3.3,2.6,2.35,.25,wall,roof)\\n# collapsed shed / ruin\\ncube('collapsed stone wall',(1.7,-2.0,1.0),(2.0,.28,1.0),stone,.08); cube('fallen roof',(2,-2.0,2.15),(1.8,1.2,.12),roof,.05).rotation_euler[1]=.18\\n# roof corrugation bars and rust patches across visible roofs\\nfor hx,hy,w,d,h,ang in [(0,1.9,4.2,3,2.8,.08),(-5,1,3.5,2.8,2.5,-.18),(5,2.8,3.3,2.6,2.35,.25)]:\\n for side in (-1,1):\\n  for j in range(7):\\n   ly=-d/2+j*d/6; # local y\\n   xx=hx+side*.30*math.cos(ang)-ly*math.sin(ang); yy=hy+side*.30*math.sin(ang)+ly*math.cos(ang)\\n   bar=cube('roof corrugation',(xx,yy,h+.72+abs(.30)*.0),(w*.39,.018,.035),roof2 if side<0 else roof,.02);bar.rotation_euler[2]=ang;bar.rotation_euler[1]=side*math.radians(32)\\n# vegetation grass clumps\\nfor i in range(150):\\n x=random.uniform(-9,9); y=random.uniform(-6.5,6.5)\\n if random.random()<.55 and y>4: continue\\n z=.05\\n for k in range(random.randint(2,5)):\\n  xx=x+random.uniform(-.18,.18); yy=y+random.uniform(-.18,.18); ht=random.uniform(.18,.55)\\n  curve('grass blade',[(xx,yy,z),(xx+random.uniform(-.12,.12),yy, z+ht*.65),(xx+random.uniform(-.18,.18),yy,z+ht)],.018,grass)\\n# vines climbing fronts and roof edges\\nfor x,y in [(-1.7,.35),(1.5,.35),(-6.3,-.4),(4.1,1.4),(6.1,3.0)]:\\n pts=[(x,y-.04,.15),(x+.12,y-.05,.9),(x-.08,y-.03,1.7),(x+.18,y-.05,2.45),(x+.35,y-.1,3.25)]\\n curve('climbing vine',pts,.035,vine)\\n for p in pts[1:]: uv('ivy leaf',(p[0]+random.uniform(-.12,.12),p[1]-.05,p[2]),(.13,.04,.09),vine)\\n# back trees\\nfor x,y in [(-8,5.5),(-6,6.2),(7,5.8),(8,3.8)]:\\n cyl('dead tree trunk',(x,y,2.0),.22,4,wood,7)\\n curve('gnarled branch',[(x,y,3),(x+random.uniform(-1,1),y,4),(x+random.uniform(-1.5,1.5),y,5)],.10,wood)\\n for k in range(8): uv('wild tree crown',(x+random.uniform(-1.4,1.4),y+random.uniform(-.4,.5),4.4+random.uniform(-.4,1.2)),(.7,.55,.65),leaf)\\n# stones foreground\\nfor i in range(24):\\n x=random.uniform(-8,8); y=random.uniform(-6,-2); uv('mossy stone',(x,y,.18),(random.uniform(.12,.35),random.uniform(.12,.3),random.uniform(.1,.25)),stone)\\n# camera\\nbpy.ops.object.camera_add(location=(11,-15,10)); cam=bpy.context.object;cam.name='Presentation Camera';bpy.context.scene.camera=cam\\ndef track(obj,pt): obj.rotation_euler=(Vector(pt)-obj.location).to_track_quat('-Z','Y').to_euler()\\ntrack(cam,(0,1,1.8));cam.data.lens=48\\n# lighting\\nbpy.ops.object.light_add(type='AREA', location=(2,-4,11)); key=bpy.context.object;key.name='Soft moonlight';key.data.energy=1500;key.data.shape='DISK';key.data.size=8;track(key,(0,1,0))\\nbpy.ops.object.light_add(type='AREA', location=(-8,-3,5)); fill=bpy.context.object;fill.data.energy=700;fill.data.color=(0.32,0.45,0.55);fill.data.size=7;track(fill,(0,1,1))\\nbpy.ops.object.light_add(type='POINT', location=(0,-2,3));bpy.context.object.data.energy=180;bpy.context.object.data.color=(1.0,.32,.10)\\n# world\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World');bpy.context.scene.world=world;world.use_nodes=True;world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nscene=bpy.context.scene;scene.render.engine='BLENDER_EEVEE_NEXT';scene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\n# ground fog-like large plane? no\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('DONE scene',len(bpy.context.scene.objects))\",\"user_prompt\":\"Create an abandoned village slowly reclaimed by nature with weathered houses, rusted roofs, broken windows, moss, grass, vines, and a clear presentation render.\"}"}}]},{"role":"tool","tool_call_id":"call_s9v2v9ySjVU6WCYi6Ln00BCX","content":"Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \"BLENDER_EEVEE_NEXT\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_otbflqLlIn9N1MS321DTkK78","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\nworld=scene.world\\nif world:\\n world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('saved',len(scene.objects))\",\"user_prompt\":\"Finish and save the abandoned village scene and render a presentation image.\"}"}}]},{"role":"tool","tool_call_id":"call_otbflqLlIn9N1MS321DTkK78","content":"Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file C:\\Users\\gruku\\Files\\Projects\\Blender-Bench\\apps\\console\\tmp\\abandoned_village.blend@ for writing: No such file or directory\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_7E6RB6C3zV0Ohab0XexavM4e","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='//abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\nif scene.world:\\n scene.world.use_nodes=True; scene.world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); scene.world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nbpy.ops.wm.save_as_mainfile(filepath='//abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('saved',len(scene.objects))\",\"user_prompt\":\"Finish and save the abandoned village scene and render a presentation image.\"}"}}]},{"role":"tool","tool_call_id":"call_7E6RB6C3zV0Ohab0XexavM4e","content":"Code executed successfully: Info: Saved as \"abandoned_village.blend\"\nsaved 715\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_ufoxdMEkZL4zaWObKwZ3EXM6","type":"function","function":{"name":"get_viewport_screenshot","arguments":"{\"max_size\":800,\"user_prompt\":\"Inspect the finished abandoned village presentation.\"}"}}]},{"role":"tool","tool_call_id":"call_ufoxdMEkZL4zaWObKwZ3EXM6","content":""},{"role":"user","content":[{"type":"image_url","image_url":{"url":"data:image/png;base64,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"}}]}],"usage":{"include":true},"tools":[{"type":"function","function":{"name":"get_scene_info","description":"Get detailed information about the current Blender scene\n\n    Parameters:\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\n    ","parameters":{"properties":{"user_prompt":{"title":"User Prompt","type":"string"}},"required":["user_prompt"],"title":"get_scene_infoArguments","type":"object"}}},{"type":"function","function":{"name":"get_object_info","description":"\n    Get detailed information about a specific object in the Blender scene.\n\n    Parameters:\n    - object_name: The name of the object to get information about\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ","parameters":{"properties":{"object_name":{"title":"Object Name","type":"string"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"required":["object_name"],"title":"get_object_infoArguments","type":"object"}}},{"type":"function","function":{"name":"get_viewport_screenshot","description":"\n    Capture a screenshot of the current Blender 3D viewport.\n\n    Parameters:\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns the screenshot as an Image.\n    ","parameters":{"properties":{"max_size":{"default":1000,"title":"Max Size","type":"integer"},"user_prompt":{"default":"","title":"User Prompt","type":"string"}},"title":"get_viewport_screenshotArguments","type":"object"}}},{"type":"function","function":{"name":"execute_blender_code","description":"\n    Execute arbitrary Python code in Blender. 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"error": null}], "response": {"text": null, "tool_calls": [{"id": "call_n8RgSZCmqRY11pY13zmC9GCq", "name": "execute_blender_code", "arguments": {"code": "import bpy\ns=bpy.context.scene\ns.render.engine='CYCLES'\ns.cycles.samples=32\ns.cycles.use_denoising=True\ns.render.resolution_x=768;s.render.resolution_y=768;s.render.resolution_percentage=100\ns.render.filepath='//abandoned_village_cycles.png'\nbpy.ops.wm.save_as_mainfile(filepath='//abandoned_village.blend')\nprint('cycles scene saved',s.camera.name if s.camera else None)", "user_prompt": "Set the final abandoned village scene for benchmark Cycles rendering and save it."}, "raw_arguments": "{\"code\":\"import bpy\\ns=bpy.context.scene\\ns.render.engine='CYCLES'\\ns.cycles.samples=32\\ns.cycles.use_denoising=True\\ns.render.resolution_x=768;s.render.resolution_y=768;s.render.resolution_percentage=100\\ns.render.filepath='//abandoned_village_cycles.png'\\nbpy.ops.wm.save_as_mainfile(filepath='//abandoned_village.blend')\\nprint('cycles scene saved',s.camera.name if s.camera else None)\",\"user_prompt\":\"Set the final abandoned village scene for benchmark Cycles rendering and save it.\"}", "parse_error": null}], "tokens_in": 7719, "tokens_out": 212, "cost_usd": 0.01092, "cached_tokens": 0}, "error": null}
{"ts": "2026-07-15T10:44:14.991262+00:00", "type": "assistant", "text": null, "tool_calls": [{"id": "call_n8RgSZCmqRY11pY13zmC9GCq", "name": "execute_blender_code", "arguments": {"code": "import bpy\ns=bpy.context.scene\ns.render.engine='CYCLES'\ns.cycles.samples=32\ns.cycles.use_denoising=True\ns.render.resolution_x=768;s.render.resolution_y=768;s.render.resolution_percentage=100\ns.render.filepath='//abandoned_village_cycles.png'\nbpy.ops.wm.save_as_mainfile(filepath='//abandoned_village.blend')\nprint('cycles scene saved',s.camera.name if s.camera else None)", "user_prompt": "Set the final abandoned village scene for benchmark Cycles rendering and save it."}, "raw_arguments": "{\"code\":\"import bpy\\ns=bpy.context.scene\\ns.render.engine='CYCLES'\\ns.cycles.samples=32\\ns.cycles.use_denoising=True\\ns.render.resolution_x=768;s.render.resolution_y=768;s.render.resolution_percentage=100\\ns.render.filepath='//abandoned_village_cycles.png'\\nbpy.ops.wm.save_as_mainfile(filepath='//abandoned_village.blend')\\nprint('cycles scene saved',s.camera.name if s.camera else None)\",\"user_prompt\":\"Set the final abandoned village scene for benchmark Cycles rendering and save it.\"}", "parse_error": null}]}
{"ts": "2026-07-15T10:44:14.991262+00:00", "type": "tool_call", "id": "call_n8RgSZCmqRY11pY13zmC9GCq", "name": "execute_blender_code", "arguments": {"code": "import bpy\ns=bpy.context.scene\ns.render.engine='CYCLES'\ns.cycles.samples=32\ns.cycles.use_denoising=True\ns.render.resolution_x=768;s.render.resolution_y=768;s.render.resolution_percentage=100\ns.render.filepath='//abandoned_village_cycles.png'\nbpy.ops.wm.save_as_mainfile(filepath='//abandoned_village.blend')\nprint('cycles scene saved',s.camera.name if s.camera else None)", "user_prompt": "Set the final abandoned village scene for benchmark Cycles rendering and save it."}, "raw_arguments": "{\"code\":\"import bpy\\ns=bpy.context.scene\\ns.render.engine='CYCLES'\\ns.cycles.samples=32\\ns.cycles.use_denoising=True\\ns.render.resolution_x=768;s.render.resolution_y=768;s.render.resolution_percentage=100\\ns.render.filepath='//abandoned_village_cycles.png'\\nbpy.ops.wm.save_as_mainfile(filepath='//abandoned_village.blend')\\nprint('cycles scene saved',s.camera.name if s.camera else None)\",\"user_prompt\":\"Set the final abandoned village scene for benchmark Cycles rendering and save it.\"}"}
{"ts": "2026-07-15T10:44:15.094608+00:00", "type": "tool_result", "tool_call_id": "call_n8RgSZCmqRY11pY13zmC9GCq", "name": "execute_blender_code", "text": "Code executed successfully: Info: Saved as \"abandoned_village.blend\"\ncycles scene saved Presentation Camera\n", "is_error": false, "has_image": false, "image_b64": null}
{"ts": "2026-07-15T10:44:16.784570+00:00", "type": "llm_call", "call_index": 6, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T10:44:15.095613+00:00", "finished_at": "2026-07-15T10:44:16.783066+00:00", "duration_s": 1.687000000005355, "request": {"messages": [{"role": "system", "content": "You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\n\nYour result will be compared head-to-head with another model. Anyone on the internet can vote, based only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\n\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\n\nThe final published capture is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. The saved scene is also exported to GLB with geometry, materials, the contestant camera, and supported lights for interactive inspection. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\n\n## Harness Instructions\n\nYou are operating Blender through the provided tools. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. The saved scene is also exported to GLB with geometry, materials, your camera, and supported lights for interactive inspection. When you are finished, reply with the single word DONE and no tool calls."}, {"role": "user", "content": "## Task\n\nComplete the following Blender task:\n\n<task>\n\nAn abandoned village slowly reclaimed by nature. Weathered houses with rusted, corroded metal roofs; overgrown foliage creeping up the walls and through broken windows; moss, grass, and vines spreading across the ground and over the rooftops. Convey age, decay, and the quiet return of the wild.\n\n</task>"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_s9v2v9ySjVU6WCYi6Ln00BCX", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, math, random\\nfrom mathutils import Vector\\nrandom.seed(12)\\n# clear\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\nfor d in (bpy.data.materials, bpy.data.curves, bpy.data.meshes, bpy.data.cameras, bpy.data.lights):\\n    pass\\n# mats\\ndef mat(name,color,rough=0.8,metal=0):\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True\\n bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal\\n return m\\nwall=mat('Weathered plaster',(0.27,0.25,0.20)); wall2=mat('Faded ochre plaster',(0.34,0.29,0.20)); wood=mat('Dark rotting timber',(0.12,0.07,0.035)); roof=mat('Rust corroded metal',(0.20,0.075,0.035),.62,.55); roof2=mat('Old blue rust',(0.10,0.13,0.13),.7,.4); dark=mat('Window darkness',(0.012,0.018,0.015)); glass=mat('Broken glass',(0.12,0.22,0.20),.25); moss=mat('Moss',(0.12,0.22,0.07)); vine=mat('Ivy leaves',(0.08,0.18,0.035)); grass=mat('Wild grass',(0.16,0.28,0.06)); earth=mat('Earth',(0.12,0.085,0.045)); stone=mat('Mossy stones',(0.24,0.25,0.18)); leaf=mat('Tree foliage',(0.06,0.15,0.035));\\ndef cube(n,loc,scale,ma,bev=0):\\n bpy.ops.mesh.primitive_cube_add(location=loc); o=bpy.context.object; o.name=n; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\n if bev: mod=o.modifiers.new('soft eroded edges','BEVEL'); mod.width=bev; mod.segments=2\\n o.data.materials.append(ma); return o\\ndef cyl(n,loc,r,depth,ma,verts=8):\\n bpy.ops.mesh.primitive_cylinder_add(vertices=verts,radius=r,depth=depth,location=loc); o=bpy.context.object;o.name=n;o.data.materials.append(ma); return o\\ndef uv(n,loc,scale,ma):\\n bpy.ops.mesh.primitive_ico_sphere_add(subdivisions=1,radius=1,location=loc);o=bpy.context.object;o.name=n;o.scale=scale;o.data.materials.append(ma);return o\\ndef curve(n,pts,bevel,ma):\\n cu=bpy.data.curves.new(n,'CURVE');cu.dimensions='3D';cu.bevel_depth=bevel;cu.bevel_resolution=2; sp=cu.splines.new('BEZIER');sp.bezier_points.add(len(pts)-1)\\n for p,co in zip(sp.bezier_points,pts): p.co=co;p.handle_left_type='AUTO';p.handle_right_type='AUTO'\\n o=bpy.data.objects.new(n,cu);bpy.context.collection.objects.link(o);o.data.materials.append(ma);return o\\n# ground\\ncube('Earth clearing',(0,0,-0.35),(10,8,.35),earth,.15)\\n# cobbled path\\nfor i in range(22):\\n x=-7+i*.55+random.uniform(-.12,.12); y=-5.8+random.uniform(-.35,.35)\\n cube('buried cobble',(x,y,0.05),(0.25+random.random()*.18,.32,.08),stone,.08).rotation_euler[2]=random.uniform(-.3,.3)\\n# house function orientation z, dimensions\\n\\ndef house(name,x,y,w,d,h,ang,ma,roofmat,broken=True):\\n # parent empty\\n base=cube(name+' walls',(x,y,h/2),(w/2,d/2,h/2),ma,.08); base.rotation_euler[2]=ang\\n # roof two slabs pitched along x local, ridge along y\\n for side in (-1,1):\\n  r=cube(name+' rusted roof',(x+side*0.30*math.cos(ang),y+side*0.30*math.sin(ang),h+0.72),(w*.40,d/2+.22,.10),roofmat,.035)\\n  r.rotation_euler[2]=ang; r.rotation_euler[1]=side*math.radians(32)\\n # ridge\\n ridge=cube(name+' roof ridge',(x,y,h+1.02),(.13,d/2+.3,.13),roofmat,.03); ridge.rotation_euler[2]=ang\\n # doors and windows as dark planes placed on front/back using local coords\\n # front y local -d/2\\n for lx in (-w*.27,w*.27):\\n  px=x+lx*math.cos(ang)-(-d/2-.012)*math.sin(ang); py=y+lx*math.sin(ang)+(-d/2-.012)*math.cos(ang)\\n  q=cube(name+' broken window',(px,py,h*.56),(w*.13,.025,h*.16),dark,.02);q.rotation_euler[2]=ang\\n  # crooked frame\\n  for xx in (-w*.13,w*.13):\\n   fx=x+(lx+xx)*math.cos(ang)-(-d/2-.045)*math.sin(ang);fy=y+(lx+xx)*math.sin(ang)+(-d/2-.045)*math.cos(ang)\\n   f=cube('splintered window frame',(fx,fy,h*.56),(.025,.04,h*.18),wood);f.rotation_euler[2]=ang\\n  # cross diagonal broken glass\\n  p1=(x+(lx-w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx-w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.48)\\n  p2=(x+(lx+w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx+w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.64)\\n  curve('cracked window',[p1,p2],.012,glass)\\n # door\\n px=x- w*.12*math.cos(ang)-(-d/2-.02)*math.sin(ang);py=y-w*.12*math.sin(ang)+(-d/2-.02)*math.cos(ang)\\n door=cube(name+' sagging door',(px,py,h*.34),(w*.18,.035,h*.34),wood,.03);door.rotation_euler[2]=ang\\n # timber braces on front\\n for z in (h*.25,h*.72):\\n  b=cube(name+' exposed beam',(x,y-d/2-.06,z), (w/2,.07,.06),wood);b.rotation_euler[2]=ang\\n # moss patches along base\\n for i in range(7):\\n  lx=random.uniform(-w/2,w/2); side=random.choice([-1,1]); px=x+lx*math.cos(ang)-side*d/2*math.sin(ang);py=y+lx*math.sin(ang)+side*d/2*math.cos(ang)\\n  uv('moss on wall',(px,py+random.uniform(-.04,.04),random.uniform(.25,.65)),(.18,.06,.13),moss)\\n return base\\nhouse('North cottage',0,1.9,4.2,3.0,2.8,.08,wall,roof)\\nhouse('West cottage',-5,1.0,3.5,2.8,2.5,-.18,wall2,roof2)\\nhouse('East cottage',5,2.8,3.3,2.6,2.35,.25,wall,roof)\\n# collapsed shed / ruin\\ncube('collapsed stone wall',(1.7,-2.0,1.0),(2.0,.28,1.0),stone,.08); cube('fallen roof',(2,-2.0,2.15),(1.8,1.2,.12),roof,.05).rotation_euler[1]=.18\\n# roof corrugation bars and rust patches across visible roofs\\nfor hx,hy,w,d,h,ang in [(0,1.9,4.2,3,2.8,.08),(-5,1,3.5,2.8,2.5,-.18),(5,2.8,3.3,2.6,2.35,.25)]:\\n for side in (-1,1):\\n  for j in range(7):\\n   ly=-d/2+j*d/6; # local y\\n   xx=hx+side*.30*math.cos(ang)-ly*math.sin(ang); yy=hy+side*.30*math.sin(ang)+ly*math.cos(ang)\\n   bar=cube('roof corrugation',(xx,yy,h+.72+abs(.30)*.0),(w*.39,.018,.035),roof2 if side<0 else roof,.02);bar.rotation_euler[2]=ang;bar.rotation_euler[1]=side*math.radians(32)\\n# vegetation grass clumps\\nfor i in range(150):\\n x=random.uniform(-9,9); y=random.uniform(-6.5,6.5)\\n if random.random()<.55 and y>4: continue\\n z=.05\\n for k in range(random.randint(2,5)):\\n  xx=x+random.uniform(-.18,.18); yy=y+random.uniform(-.18,.18); ht=random.uniform(.18,.55)\\n  curve('grass blade',[(xx,yy,z),(xx+random.uniform(-.12,.12),yy, z+ht*.65),(xx+random.uniform(-.18,.18),yy,z+ht)],.018,grass)\\n# vines climbing fronts and roof edges\\nfor x,y in [(-1.7,.35),(1.5,.35),(-6.3,-.4),(4.1,1.4),(6.1,3.0)]:\\n pts=[(x,y-.04,.15),(x+.12,y-.05,.9),(x-.08,y-.03,1.7),(x+.18,y-.05,2.45),(x+.35,y-.1,3.25)]\\n curve('climbing vine',pts,.035,vine)\\n for p in pts[1:]: uv('ivy leaf',(p[0]+random.uniform(-.12,.12),p[1]-.05,p[2]),(.13,.04,.09),vine)\\n# back trees\\nfor x,y in [(-8,5.5),(-6,6.2),(7,5.8),(8,3.8)]:\\n cyl('dead tree trunk',(x,y,2.0),.22,4,wood,7)\\n curve('gnarled branch',[(x,y,3),(x+random.uniform(-1,1),y,4),(x+random.uniform(-1.5,1.5),y,5)],.10,wood)\\n for k in range(8): uv('wild tree crown',(x+random.uniform(-1.4,1.4),y+random.uniform(-.4,.5),4.4+random.uniform(-.4,1.2)),(.7,.55,.65),leaf)\\n# stones foreground\\nfor i in range(24):\\n x=random.uniform(-8,8); y=random.uniform(-6,-2); uv('mossy stone',(x,y,.18),(random.uniform(.12,.35),random.uniform(.12,.3),random.uniform(.1,.25)),stone)\\n# camera\\nbpy.ops.object.camera_add(location=(11,-15,10)); cam=bpy.context.object;cam.name='Presentation Camera';bpy.context.scene.camera=cam\\ndef track(obj,pt): obj.rotation_euler=(Vector(pt)-obj.location).to_track_quat('-Z','Y').to_euler()\\ntrack(cam,(0,1,1.8));cam.data.lens=48\\n# lighting\\nbpy.ops.object.light_add(type='AREA', location=(2,-4,11)); key=bpy.context.object;key.name='Soft moonlight';key.data.energy=1500;key.data.shape='DISK';key.data.size=8;track(key,(0,1,0))\\nbpy.ops.object.light_add(type='AREA', location=(-8,-3,5)); fill=bpy.context.object;fill.data.energy=700;fill.data.color=(0.32,0.45,0.55);fill.data.size=7;track(fill,(0,1,1))\\nbpy.ops.object.light_add(type='POINT', location=(0,-2,3));bpy.context.object.data.energy=180;bpy.context.object.data.color=(1.0,.32,.10)\\n# world\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World');bpy.context.scene.world=world;world.use_nodes=True;world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nscene=bpy.context.scene;scene.render.engine='BLENDER_EEVEE_NEXT';scene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\n# ground fog-like large plane? no\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('DONE scene',len(bpy.context.scene.objects))\",\"user_prompt\":\"Create an abandoned village slowly reclaimed by nature with weathered houses, rusted roofs, broken windows, moss, grass, vines, and a clear presentation render.\"}"}}]}, {"role": "tool", "tool_call_id": "call_s9v2v9ySjVU6WCYi6Ln00BCX", "content": "Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \"BLENDER_EEVEE_NEXT\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_otbflqLlIn9N1MS321DTkK78", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\nworld=scene.world\\nif world:\\n world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('saved',len(scene.objects))\",\"user_prompt\":\"Finish and save the abandoned village scene and render a presentation image.\"}"}}]}, {"role": "tool", "tool_call_id": "call_otbflqLlIn9N1MS321DTkK78", "content": "Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\apps\\console\\tmp\\abandoned_village.blend@ for writing: No such file or directory\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_7E6RB6C3zV0Ohab0XexavM4e", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='//abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\nif scene.world:\\n scene.world.use_nodes=True; scene.world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); scene.world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nbpy.ops.wm.save_as_mainfile(filepath='//abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('saved',len(scene.objects))\",\"user_prompt\":\"Finish and save the abandoned village scene and render a presentation image.\"}"}}]}, {"role": "tool", "tool_call_id": "call_7E6RB6C3zV0Ohab0XexavM4e", "content": "Code executed successfully: Info: Saved as \"abandoned_village.blend\"\nsaved 715\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_ufoxdMEkZL4zaWObKwZ3EXM6", "type": "function", "function": {"name": "get_viewport_screenshot", "arguments": "{\"max_size\":800,\"user_prompt\":\"Inspect the finished abandoned village presentation.\"}"}}]}, {"role": "tool", "tool_call_id": "call_ufoxdMEkZL4zaWObKwZ3EXM6", "content": ""}, {"role": "user", "content": [{"type": "image_url", "image_url": {"url": 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59eOHfm5ImH/y9Oz8RKt2fjtzz4wX/z619/8gzv2G45NvXdZ14GNvfE382+cMm7KZSeTD70oQ9xeyY2VjLf+ta3mBN4uIOGuzKesfEKi74iZtYSrOdm9z/44V9+xy+++eZGq12rVr7x5Jl//08/HHruE6+5/QamMqYC7tyYDVhXMT/ceuutXOLREx7TEY+ymEBYCMmdcwVDMVsJcNh05JigEZg9IeX5E9Usrby6oigAwTHjQMoKkc+J8Mq0xexGxHKAe+YsZMIi8bRQ/KrVAdBcZhOqfGAkuCgr5YSLkIwkkeDUyChbKUF+kel0oooBUIWGgBMTscmp5/1CF5iLn+ECksQMjhIwOUWY8/yJO5CJ5goVk26UFzqRlVGtU2pcpSh2oXFqCP2mrits1y64uZRCvi7VbafUjXq9rxX5NuJngHFuXpYhp5KsBgxaq7d/+qd/wlD3bTwq9uoKEj1n0iDX2eHbO415KaM7cRI28wnzFFMw3z3wHEskRuKRXgKGnhyZdRVzjr2znMKF5k0A+rLK5izvUFLk3ASDF+56weteU/0vW2Rg6KUUg7ybTVQu7rpQyB/jiR4LwRFwdeReYag/C2OIJn1ghbZ9lJG2D4yqPkjF0yuqPob9Pe68tr/rXgHbb39zw3oJffg5kbnS/fEf/3HhVRtCzU48R/nRUz/YPzl8+kK2PPjxiTnukgrd+aRrLZ76wjdfuPeu43j/9lPrD3oKTTyZ8OaKVZQwnPJMO5o30CAwV7DM4oaKR0J6ioT+Hx55/scvzd9+/b6Xzi4+9uPzejigezaejvN4iEWReo+FGk/iYWCFw+Isrh9iVATj7tp8ggUCFhFFtGQMbIMmv+TMm+xQI4/RkTQ7pN25OWHQS7E3CjkFK6waRNnrQAxi2x+z5ZWVZWz1FbXGiu3l5MwG8aWP0LY8WJGhjwytqBL+PiaDVznIyyXf8oAWxnC5VkTVJzCCV/zC9EEqGONV7IVPYMmTV6xohaeIQhLGg5sfJz4p8zc8CUkSgKn2gqAOj5EkwceqKyfnw+jjqxAcw45yH55rVVUYv4LZs5HHmKMc+3DL4PsDqO0FwKOdlitD5aHx6LfUaTdXN7dZUVU0qQxPlsrr312V+Oq9VG43ltrN7PlI9LjpolzWYstemCKEBJNUgWmVR8qV3Puc5lL2df2liXkmTiaqZI3l+UeaGDzuLqGOdZeSp6W8pxSx4zLB0C+X60hW5Dv2349A/PEAF6K3BBRaXWnlllFlj2vLpaGrvsbalaOm1mnYxJZGeds9vCskvbybPPaDlb2stq2niwqnjF6ERBUDMyxRJifsgPEnJNEqyvn1EGHY1oJjSwSm2kSTN0niBx8DSMyvbTEfWL45inBw5DZalCfvQ9IHrOALm9DHqo+vK1HVKxLCLoxcMfSyutwI+7gYkCpZDdhqh8xZ4we45nbajc5aupzKn3GOCqFdz3ZYSJJ82aMFwQpPcw4BqeiZU7PwMVr6zrJLXdh7feLHY7rASlpyJYp4dY9wS8rHSXixBpl1H5jCxsR4wKgoISkWIqPyiso0h37PH+kr6nRAct7d8CJ5S/BwqXykU7rQvf+PRwdDilET5S1pAcTjFeXE1gc00Q9eZCBxFBhIu3UgoOpzOg0e2IBIOpYmkNMVuCYVGvJkPn9A40HJy9LwXk/fdBfS5pU+WBYSTHLI8EKiCYKpCQkmYdhTRYInHo54POiMJZpwFVoh7wRgwbI0Ud+n3xIwkXMgui1Yb8VVaEuf8PpXOXgOQWyv45fQn+Sa1DpaCd1BlDVBRUJS5BQLm4BSYbvWGuuvTrsUcBb3Rop+FZ5ic6gRcM1lolYMG+Fn/0pDwLxG9KqLoqv6hL0lRr0BA8jNBdbYzGumbn9Xh0dwbTaizN6zIFRe+sxweZXBoUUPNswvvMvks4nMuPutdBfZJtA+SplzYmPF608uCWoMJggktUec+cdufVqbr4IkUeY1CWDXi7SXxsZ5edddRMJ8A6WJufF0L4ta97n1JnHVWqfEn7xf6HanlYngonm2Idh1tC1URsCWMrExXDkWDFQOx64ss67oMU2a7CJOOVPIaZGujm47iyS+uKSN1iDkD4o1EpRDyLmc2Eae/rLDMyyvocrdrlYIQwA0hGTbPSsQqptA8HQXOUkBqyHkJDfBtdKomNlsWFkwCUJURjaqXJRALkHml5vjiGNBTrKtD8dOmM2260J+qNAEtUK+1JZux2RDC+WuNCR2UdZf3R5TjgsJdpQU3QkCxKikAe8ktkiFHFsN0oR2HTVXWiYeUt6LjoIakq+VlQwLzfMmV0KT9J5cEDm3pvwFHkUA9LZWJjsJAB4urzBDQns3P3I/eOt99937My+dW2KziusOT7APGLdqL5xmB4omezy87W1vwz2JfWX4Q2uuWPzVDxtKwQKOnSfYvgIlGxl8+MMfRgmSj8geeughlHxYyl8J8beHXAz4k59vf/vb+gpezXCnExOTV+FbACFfQTm97HbFsPOHGY2VFjCxbB40yNJbGcmRox5ZKdFzvAbsZP5sgc8Q+XmRly85tROfe71Ie0mMLq3mfb+yjbjpz8TKh0l6itI4x0SyDUUSlXlaaxBInE00AQESzhGfvSh1NwLA/IMLTASckvw93eAmO0ESZIyThjA5qB9UpQbuxMXObeNxQVZROeQSiHOttTpUzn46jMQfDaGRDAbZB8stQiDRTPKdB7lDBmIgwoSE+BlX5OjJwZDruKDZC2EnAcexFKtohRqitsQqTBKlWmqMapPGuojgZJOdCGIrZCASkhoCABmwBYchZSHDVVP2OhAKoNuOzYbko3JbqNqyObCZQcwUpSSP5knR5HZnsARy7jZ9dWDRQjGeJlw+BrxuctT0Xg6n2Z/YkJDYDeKpn8zqC/+X51bHRmpT49ljKnYsZVXkdxC4AczqChbN9VQxxaBkiwf+Qoddo6hiSwz54Dt8/q6HSZyXEXx4H/8sERMnplrCGLABtrqigg6bXEiOedQjEzy16kkEesbFwiCFlKFkcgmF+F1UXpaXVb4q7JQOd0rnNwf2LsZy9ah0qWBkagDrRPIBtZAEpL5SLVWYkxKMiwIrx91l9bNJthQ453XaE5VOQFqEpv8014sWEuJ0A3vBroRerRCz2uIwaEusHcS7bQEjK5ncDDoo1FqDYGU8ZJKVx6PZaDWWq/O1fZ25lytTpWkmrmTWgpxBsh5B15HMI3n0vkdkwsv3eWyLOgqNkFetOXhUF6lLkaWx3pEkGust9Dp59+ABImaHnR8htDSbiTbmIoqAlQPeU83ptqPgpsIHi1ZoHrNGJhSloRhPQIrqEOmRrcl31PY07KDOioW9ET7/+c+z7Qs7g/Isia2J2TaBvatYxtx6660sv7TdeuGfEypy8s1XhK12Z62xeVvDBaLeyDbXYUdydrlIAmXNxBOpP//zP2cPrne+852qRWZRxfakWLEmk5JbZHqQB2Dk/DE2bxITqiyI7l5WO+wmN0kCXixYTlwASDRJbCoKQ66EEqEQaSUAr4Wt3CMCg/WyIllhftsDaywOlhLBIzhP2kLPqzbqfbyokqzVvx7/oIkncDRMZJCYeF5Laq9yUcEQORd4zjgtHCnmL5N9AqMfOCV9+9QHeaWrCFvHl5wJQfdsOlh9jg4AH26BnWNFzCruVvDLzcW10aXhSR68VYYOluZenhuvj48NX/LjsnhMDoEuIY6TYC73MO1W/JfLk28LDDSEFqk5bhQtIvXqbcF04iCr6GCwihoVEyoVyZVse1lCclxki2sCc2wocYGSXC1CuCwvVwFMSIVtwTWRk2gOuYqKnyICqc9h2nbkmctucgCmwmMMw3oEVZHTFuZVFSNAstoCvYoW0GMSU952exqWVv/4j/94//33s3cxqyi2j+HVIU+I+KVU3r+x4GETLDRsrcc2pOzdoM1OwbOhA5s4sBEXUeGafHOBxSb0Rw6MXVxYXwCNDldn9o++FALkwPBqTyskdpLQNsoUeYXpPW+YGfFNF6AkAqxBsqsWEag7eFdIxOojcqZR9HQuVwjAaBRZcJuJvfSG2QpBiSoEA66msGW0VzOYvC86PK/sr9nGGotOIEFrQS6klMwBisUYg6t8ECUo3/kcwZDDHcOV1OfcjiEhE63jSaquSZGlldZVzFAkYuDgSoM8SLs473zybqMJOnzkTtsgiUcWmYOroyMqmAmSXEVq1dJtONqJSavdXOzMdSYaw6PZc32oKtXS0FR5eWm5udqcHJl0hHkvxEyK+niY0KvVCSbir7lM65wIBjkJyUt86TXJ0CIOlo+vBJQSEoZrVSSYXiOKVsSxpwjBk/ZaK9x7Cs/FRKBFJB8+BPDGqF0U8xghE3w0RJbrSGjAToT+5wUhkfIB26MadVlRsWZiw1IuDc899xzfR7EzKAsVnmnx8zvsO8pbOKp4gsUSiLd2rMa0wGKfZFZgPPQiGHvf3AfryBv/+wPXv/bc7PpOrKPDtcmx2tKTn/if/6f/Tk+weGqlHweEmo3+tMDiA1ueUdEFKPm5Rz24Yrz+1V/9FfqI1DMDFmSs0tinlAYzdnnT2b/7HOgrSKD3Pa3stbDpba7KOhYxNg1TNBYkR8xop8S38XP5HUICKI5jyeRKAbW3RMYhpwQ902uejeECi+dPrLr6MqdS/umyw2AccjQp0q7kLNNRVi2nJD2gJ0a2HVDwkd04yJuT9YAMlwuj84nWVvmmuWoXhZXG8urwQmWkVB2q8vOtkZm/Ou80S+V6ed9w9vOpsWpAebW5Uh9brtVHpmqXMOxi0+LhljxgbMA4sgL7EFuzJQm+OFgaZgZjTtMGJ7Hh3hE40CTaRSti6zjLSHuhaUTlRL8hq/cUWyxaFsBFIdVActIeadrlDgNapINlQzQ0h6IE1k8qMhOyYhGMezys7rzzTh4PaVNiMGgYugxpm6voTpMtc6musOA3P3KvX/zxkde9YXpiaHaxft2hiYXl+vxy9pEXX7Vr8tUTKVHol8W4V2ZZx0JKSral57cPcc+RIFYpebBGrDzWImeJRmS6YyambDBeemMnk5+CXAfgyjWE3iPBb0G+pMQ7QswdiZ4N+CGH9IrWOQdFsq0ksMk9e4bsL5XOpbevCfAVVmSQkzgZGOe0XV20N9ugw+2DjpAcysKwwYCkgRxWtQ6BBJicWp43Ayi03WvKbMoIkwazjXuAtnAc1a7dChtfi+259sQa19MKf1vNjvDL9XKnPDyx/vs5QxOl+nypM9K5WL84VZlqV1rNcn2sNFnlAddWqdVuLfFUbKo5NFpj78Tz589N1aZr3b0JORw0jSQOirTLTbvcg2VbBFpknq0C3Gk9jvJnk5qWNAHkrh+7nUbf2z4bgmEQGsgpxiGLTaNdFMl7mdi2UMDWSQCKCKKVJsrWoERWkJJVte08Nk0eTYtAKuyQbbvbRUNiY2j1J1Sv6rmUkMgIfFBOTtttLr3wKFV0rYSo3HyCldWVN4nWbTrpn12gJ2I7WIddjlImkDAW849STPjKFZjx89+9qsdirgaioSuQJQhAsbCTZSI8uQXhVds/V2C+JvUHF9aOdUr8HO5P2RrLLaX/dXokR9AAzlVf9qzcUoDWSWCKW1rlATroPu7c2/R5gpU3x6lPfhriOZF7Jz7D2l5IeS/XShNbRwy0bsuJtX+oa8215dpchSe32dTIb17xmq8zMj7SXO3UVxpj+9ffFTaWS61VtqTmV2PXxg8M85Rr9XxnsjQ1XMv+9Cez7aZE4KnYQvlCZaw0NLK+VmutlBoLnf1DB0aGsq0BY9IRFw8yAjkNJKkqgl+JMi1Klia0wm18JbYoxqzVCbmOIFUcOHIfxwi2rCNL7uSqPSXQitg0xUbMFvb4KOWJjw7Hlr1KSwsxbmxSm3XLO9/5zvxNRoLbrSLxcRbZ3TYuVLsVSX8e9SO5BMAWbJjXqJfRcw3zcwLjVUsuAb0FY66CoPdBvspuz+N4p8Rf9v+0rrHoEx1Ech1HHWvlXLMvt/d0oLMDv/HQSN2u4vYOAVZMCjzQ3vb36bRCLYKH1SQDg/f12w5mDxoyvTDBKTC6mgM3eIeDXGzNN0dXeMSfMZRLzUarWqsMj/IL1q1mvdVe4WlWe+zAUKXKWqe08nKjU22NTg6xugLebpbqsyUeaI0PZ38eJL/kSkSyWJprja1hWxtePwqZF34ubb7UWuuMtEb4qEuaPjmtI+kgAjN5H5NXVhVN21OrLuIh0YdR2LJLOS5g1o/9hiwreHQEQj72AAAgAElEQVQERWsqgff4usTR9hHUUXGUGuwOGXBxY8MrIVzWnZgOlpqWyBR1uKVHrjGCpboScUdOXZa4Yu36ukpNlS81DNlCoo8h0fAERq16I5/LcMu+ghCMF5HR3V6Qt4x/kCCXmWQ6pZl26Vzuiecg5lcawyEg4SXmcirNgAHQVzzqw4SjySygieCyrtMDOtoejBuvy3p8lXjxEGX640EyCyzO0L3TuiTabRRpCwlDjiBt5FBq5uGwSt+H8/za6c5Ek8WLMC1WV3x8NVxbW14rVyujE8Or7NawWl6db4ztG1pdXquMlWtDNa2uMOHHzWrjpfmV+eWF5amRKd4u2tdKc3l1aKE82oEafDIghyZLnVa5XlmbXW1OD08Ttg3zgsekqqAixYfTtDTB5En2sob4PUodJ23kOOpQSglMSWeokb2Ebj+tzw/IwMhhkNzLCv2Gn+xf+0LuY9K/CtvCoagIaWMSUua465q8P/Meqe3Gu9lXMSq1kdx3eqp10+hhmUerKyQrBvV27HPJCinKCiyGWhgYJpt/RViI2BVl5qY7d2tQKtCY40VFu6NI9FbGFhojQVXOPe4NU5WLV1rgrCg8Z6603wH56VL36oAmhbBsjVUqHWmXzva7BBSa9lQ6NkeYF3oahwoPBglxSGxvMDB6NYD31JHdXltCP62L9A+JccuKjedhXNRhRrNHGqsxkIwNDwy1QUV3CEVk5QCkpzlcrSXTRl2hXUV73TMoG516pcGPzPLdVfapKFS8ImR1xSpqaDR7ozcyXeXrCb7HarWXR8aGqKXKDAi1sVKrUW6VWrP12enul1X64qo1sQYYQLW2+YDNhqzEMGwulzsjbQynalM8E3Ntf4GwSbEhWdThr0oxFyBi+nPuwVqaoFUXrSO87NB0m0lLSchZL3QTRVqabyyV6goE10q5R9rbDX8zNkfVbWvxU71eJrbda4ICLoyKZqLvHs/NB7RC6jCRc+Ak92JQX1ErNsGinBBSvBKDIUwKtbHq/lcRjhz3ydtLpytr5/Ox5jWQqJs4JZjRSO4gqpCVoi80sfiKk+mEPd6EwsO0jX5mjcVY4TnW+exGa32yE09SHITcneYhYQ3mUR6EbXcxmtAZvXwFz9u0axuMm7Zbx1GENI0vulhHqqjG6liwNNlJk7PB0U1iRkRQLo2L9qJaFyWQO8mQohkuS6BFJJngi8aq4eKvN7K/JOKdIH/TwRivDne322l0stXVxvdSrISGJ1gojTYaq51SZ2h4KDsZYuLn0sdL9YVSabg025gdaQ41x1bLIxkhKL6XZ4EV4Zaro6V2I/uvPFyab86Pt9J9tozcUqA5saXgtQTRUy4aDoCLCmnbPbllDIMAiEQJMILzLW11vNRMnaSYqC0iVHsjjxpLHpWvFFntzQfvxjKSY1vcP3mTCNtrso6gz1DCUwOdc1j1bkENBIBGrUBDY5VcK8Jr0szs1py4M9/XPVA9/PpBgug0V+vf+79L7WyGiqFDxeVHFyHxoKGb9BeFvM7g/pi/eIwmfdxhSK+JoQ/sv1VdVg/Q+Trc+RyeqByENrsQtTvHOtm7QphJsmJ8S7BmELY9jtG1ihYxwgmVCf0atg7X66ft7vUapxsHTlOVGgs3ReYyVaFEkx8k0qg3YlTuHwQlzKOwe7Fvn4l4fG2GhZay+Gk1mkPj/D1fNms36s3ueih7RRhXUdWRUqvOT2GM8IGWHkolQVSGSmAaKzwerDfHG8bQRcnjrsSwNlFqsPtDh1eN5eX21vtsJeZ9ijoxdRwFy9rbfRVFVHQFSl+c+vAUVsFAosq5BIGRxZ8vSk+uBMCCwNvIxeCJyE4JgxRfpFIFDHwC3obTa2VS2FiCUWPz7XWTd97P22gy8Tg2CSKRPk9IkCiTNkqZgN1ehF5rzavc5OxzbM0vQzyb7qY3HvjRDWPnv3Hh1W8++EPy+w4+9e2Ld6J8dPaOl5ZngJRro1mTu812C9mO4d5772UveTZt5+ec2V2e6xA/TchG8m94wxu+/vWvf+ADH+CPHtmVi41G2VuClRNNBXDixAlyPrBl/9M3velNzz//POc8G6SyTerJkyfpqaeffprdSukv9tz63ve+1+swOJKfbkHNdycUFvv0AH8vpvWBBmjMsfIUI30fHlexdwPfYx1s7ua7QpPvTYFPyxmiDGDC49wZvK92sTm8zhvwL3DjCMnLCkl6WsTGWpzIUrpdjAoSRc5BGo7AFfpaNXwX+7CQaq2xtlSeHZla/wvBVrPFwij7Gp0dsHI7wPEJ+2qz3FwrjaQ/dbHOzUxZX10bHq96ZUZXD/Fhe6HvDWX2onC81OjufoPTxnB9bm1uy0+yNqwv718dXNsQHodYjwc0KjjcSsKgpBjxyNI4j0IE2+paCQSjeOISkxaRaHVySdaYJ79W0e7cb2F7oVWT1Wry6AgTNVwdFat6yWIQp8idF5qI2bGphwd3V8gppTnzGIVHzoGmVjHbCsFhxEg6tfG1m36xtf/Ocn125Cefq84/k2furwmvCDeAt06c/sdTb15rDf/nk/ejU/7SyuF3H31UC6wNYPovQRMcOWssdjVlg3kuA2yUxRMslCyhbr/9drbC4rd3KLKpPHue/vIv//LXvvY1Nkt9/PHHf/M3f5NZm9/bAf+FL3yB3wBiBzCWWe9617vA85OI6F988UVtcJr63vNlmkCMyi0kykEaocPvQSDBg2NLBmaWXhsQbGnbC7DUPUN393usXr6uuZ5DpgmIbkRmUULOuNUh2PXwkhFC0RotsFTEr0aCi9ZY8MhBsJwETEO81V5SRdGXJS5FegYAz0/TSovmLJRmK2PZj/bQXo4pC8vaMG8QeapV8LFhmc3cx0pri9X6SnN4rGAuZV0FU2u1zedcZUZKJfv0Kh6jfCdLo8djvCgkERWfxrdWW4f2H+qFz+vlJcnt2kJiqIGhwYxMAukkMMpuz7yCVx6x1d1Wpo+v1GStupCThmMSGV5xspqcD9utpuFqNXlsbKGhAK7y4MnzX0ONwyuMQQ0nd8OBdcpDc/f8bmP/nTJpHL1v8tt/WJ19qpChl7JgUnj04qvqrezLyv2TQ3OLDQ+lnywf6cWCng84WAyxwTw/1sO2okeOHOF5Fb/9zMMqXYq0ouIpFD/Ww0Ms1l5M5WzpjhVPsO6+++6vfOUr/MjiM888w1KMJRrPwPhdHbalv+OOOz772c/yepFpnTvsPjHsepUGmWgl5/PolAg5kMnzZwE8CmPx6o9Frd9jzLsi/1e1xnKPcUy1WmWZRWL94SWIMQwYjRlpVLTGArWwxaI0soqDR2OGfNcXyvhi6HJW6hmnXBfmbinDiYYTNhGiVGyFJq8IJZuqt8qN5lKbP/5hRUVzhkZqCDy+6hV/bZSNFcr1pU5thI2e16/Em+CNK3GHz9haHXaB37/vIN9sdQ9oNrN2JUCZgn0f+L90lKpTpdnTyyvzK6tLq+1We+bAEc3+9DYJnPJNX0Hq8mfljL8bA7mOjooBe9kiYZCY6xRA5uCna8nlfkvGc9bv3XdPEmg1gtuOcNldeVUMCBI/zi30cq4WqTnkShxxDJWiIbX0kjBR/8qSC+NvzNzD6qoxf3r5pcfazbUDd3+wfvuHpr/779w0rJD7N7/M8yHuQcEN3f6h6v7bEd5/3df+6dR9zAa/cv/xpdXWPz96VgPnwZnHHjr3s2JfffSP+Htiyc7xx2Egh5AjgV4aBPQomYuRXYtSFyTeIT766KO6RKEEQ9Cq5TRGVg6bGAD0T/JujIeF9EmtYYUCTtErt5AobciVqc8DAMOuodD/x1V2GNhkp8QWWbv4d4U7jGfn5h4qceQwIDUOXStHvuTohEKZjBMXESRvL0JsuT+5QttWcafEU+dtBEaf6OT18msbJFfZhD2ttHM6fzS52Jlvja6uLTXYV52nVqwWmcNoEWus5EAnQbLr1dp8p1LtHDg0rVeB7Y6e7rD+bs5fnLd5vbV2/Mj1Y6PpC8XcugwPZQ7xD7/7dItv6Lvp6KGjM4eyW9zu2NnR+BHhLub0kpI4CY5zhISwi172JhUHl7aTK9FkhCvaA/CrK9Zddv+xxn2uMKRHKb0EybvSn3hx8yOhHL2ix8Daze9fufPXON/mfvCZyVveUh0/UF0+N/WV/z02M7adrlAVawDd/VJb8ATrq+df2+5kqxyGzb994HpOEdZYFM/V90XqRObelz7VpaVwGWSlBRgk82WVnvr42Q/XKtUq6JgnfnsVPYYkKOd4g3dVL9ufYr0HwZVo42J3gO2pd4WxvchONB+5fyfEcYKsIjmjiHGuYp4hO6m63xdeiSdMcgczZ4ri7xVGPrABNcRPA8mNx9EgXrysxFbhYdWno8y/pTBgAHmePobEtsyv4EyudeZqk0PTq+2V1mj2JUP2V37tcqvOQ6zsjV72vdRW4yTb9Wq03FjpLM2uHjx8IOIbpcZ8ib8kzBIe6djZuQv5BVbBMqTTPn3qVKfETez6gQCj21Gx7amcdpFiSJwCzOEeRbSd4MlJEfZTINOi/HFhDNB23XF5PIBURyWdYACCU9Iz6NFEQ2QlOBES/FUr4jrffLwTsHsgCUadgPIahp2EVFisLjyPfu3CC/XZk2sXnh9ngTX/XIJMhr1quTVCTw8wDRYssN4+871/PPmWZidb4py6sHbjzNixg6OnL6xO1tZ/BzrxISLNpBoH5ImQmPQvqt/JdZYq3D1+MNSivR/klY5w19dYGkh0bxxRluNAomkGo48ttYygU6LwxIhsfWRISL0AMHMHQyR60cZiqBAMoFDfizbqOdf4m9xtm0eqvMy7eP4SIm5hakeKecvI6QESzCA5hcmRmYULJ+J8AHmNA8hX9df0Mmy2GkuVuep+bvAqzXKLP22udso8kW812jquHF72whoq16ZH92fv7zI3Ha5j5EjrD6gYSxS7ldWJzurC0pnz83wYNzm9+fwPG6/iW91H/ksrS41GfWho/Vd0esW/uLg0NzdbriqcDBV3K+1ltXf0Xm0rJMZAcrnl0DAeyEnGWN47DdlGJBrwnAIITvAgc8XVopOWqgqhe7pkmZqvbtmG3z1lQlt6ne/JSFDPgLcJwl5oS+3ik8On/rV0/P6Z+3+TeCr1+dFn/m7AwGjj61//+ieffDJbYHGko9mXz/2MVlfPn1n+/LfPLqxkLxBJ9fbmlnfsG1Pp3lppkc7pBOOrXvUqvqC65ZZb+Mnnu+66C3Z66rrrruNdBt9jyQt/DwgVM1p0ijnfbPG1lh5cdb1lGUp+Vfqpp57iK3g+eOcPDLGCEyUfywNgUJJryGYG/y1t1QPqsa1QO6r3GivbuyGMLo6dEuwIzuWMwyqlixKcAyBR1Ewk2bV7TSA8LbO0wmCEJz1/leOnbwf0mCBjUQzKdbD6c1Lrx3j0g/98ld7ob5gczRhDvsoaYE4okfGiXEVyNCut5cXqhdo4n65nD4dqI+XWRKe+3OisNdkWIXuCtTEdshg6MH1wKPfLgFglqVGvv3D+pcZy9teV3UXYOgVLMZZgYmSjUVnNzs/OHMx9z7rhFAxGp06ezLqowm8gcgXO6jZeOyaeN4tu6aZqQ+pTtQHZtX/xBVdyfClyuY1XXGDxERcmnCAAEsNdC2tnRGoUeUy9KNUE51s2Sv0Asy5kFLGlN0h7szd6NXxAvZqWB9N82k4/JFXqDXJSUnUlioc6laMlthkuvVBqlp7486Fzj67d9L6hc98ZPvkl/pZwQI/8rR7bIwBm3ksfYj1w5Lv/cOKtrLEe/dEldKOVbNsjJeYRbshYjzOB6rSh1yBlg4YHHnjghz/84Z133vnEE0/MzMzcd999/Okfn6u/7nWvw+Wtt95KN333u9+l+PDDD/NVO0ul973vffwtIS8KKX75y1/mzwzn5+cfeeQR+Zqenr7lllu4pebTkJtvvplv4W+66ab777+fD+RZJH7uc5976aWXNuK6lv/Sk3EGuZah9PadH769ses1NkFwog7ZthzTWFzja7xOiWvIhU1INueSNGsg2PYaCsR8RSOBXCsMzhQSC4tdGSE6CvTb4MEPjoRWv5yjv1KUoQ5uJInyIEeQtgvGNMqZIsJk3SmlWue8F7kDcyQIpDjAIEEDg5h5cLXYmeuMNav8hGB3dUUNtcPjZb7F6rSq9dWV6sZ0yIKGK/784tyhA9neNP3T2TNn22UaWF5b1SS5Pry73jMX7ewr9/WXaAtLcwf3H+LvEi/hDCfE7MXZ5eXuJg0gQLU7o/uHh44TzOxkuefv56ilWKixFN18V13i8coUCn05EvsE5iEhpa6vWmRIw8mio2mrXRQIKSaYKZKr3+QoaQtFElGR72IkEJISQpYaPk0cDL1x5TokCeDqF9W6vF+GBElHh1ofJo5CL5M8yYCaWzvZQ+MXyi2mgde2h35YaZbOfK01fnzk+U8zNAYkAcbuVPfccw87T4V9sDas/8up+9519NHnlo7fPH7mxMrhmZG5+eb49NDyPfue+deXX8ff0zAO2QiId+zx9Qet5c0Cf/R36tQpmHivx5ZXJDzxWIuVE8+f2GpBI+n973//hQsX3vve97IgA8BTLlZR7373u//6r//6gx/8IGspUlz58QTrscce41v4T37ykw8++KAiZdMH/tLw2Wef3fKPnjZadmX/ZRAkU8aV9XeZ7BqjjE6u9Jh6vCJrvkg0LqrWuc5wFfuEwB0A15MDu/pbOgp7S9d9okqqdkJF/wxurmUWQ5qxSgcWjpM+hLEKW93jui2x1sr+gkx6GRInW6JogSWewVtqv5CTPOqst0AtryNhpjnqE3khJ/UfZtgOEhg8hq02l1eGFyrD2aelfMPOGbAZCbstZB9RlWrDIzx5pAIzVlcA5pfm908fJEKD8wJz3cWLF9iygQdO/LlfnIb5mxJF2tx4fIU5TWPdxrOxPBUaZsjTp7MpVIn9Gqaum5w8OJH10lBn9vzFqco0W8pv1F/yL93S7bzNVqtaeuWXGGxVUD+7G7eCr9fnrQZhoFtI0QWDJ1lkZCuR3FpEJnKq8UYeeaJMJO4H9RWEg4QXSa6C3G3ooKsuwG7UVYjtKrvIDwwFQJM50LqcodEAQOBoYtJrnPQJnjN4vFR+nh+44k/xSqVnK81b2tVsjdVjaaUAyEmRltmeAFhdcc5u3K+F+tXW8GdP34vi6YUbgrr0xbN3c9f35ltLj79UWuSNYX3zgRYwfPAq8Pjx4zy1YmMFnjax2GL99OEPf5gnWw899NA73vEO3gzimGsMvtnK4Vvf+hYPotDrKyteKX7kIx/hORb7OMQ+xdE//MM/8FSMrRx+8Rd/UbaceGyIxSqNZRZPyGKcP5Vy9yBuZmqjjqtmB8n5tnvuQCBxyLlCI+SRu65hkDDwjvB3hZcMv4H80JzCIAuVAzHuNmgbkWhdxSFg7cII16rLcUE4SKtZ+iR/5dfH0OSJoOD7GGaX8+5f78pQ1y3CIyVUvYqQkyCR0AsmPe5IkAMuvOCpyiTAJDseaRKYMMSw2J5rja+xtGJZlW3IHlZXwrDAaq51WmuN7lKKRvKaLptnmagXWGNN8WFDt+FFrT998hQuALPG4hmlCMk53OfPnZvYN878LICr5hdm4XTwXf06NSb1+pqQo5OjUwcm2PadzkHDM6+hfWWe7o/VxyZGJmhy0l53ix1JkL5XrcGOx0gLxuSFJAYAA1pFql4m9JtWS4qNq6kfrKIhMVrAyJychEYnWuSXDB5AXv9K0dA0UhItYyO5Z6aN9EkemRi+0os61oXNdJ/QxnjQ6RZSrzEwViprTZMNLNbofEfbrvCD7I1q9lQimxQuHTxZsdKeufvC9I2L7Ubl3JP7Zp/N/kAYFx6Bm9s0VK9/R3Xy+gE7vf70f2QKSsA8hVpcXFQD+NZq5zuC8q0V+0q/UtZPLByTRWfsn+4hy+6rsoN36VWKIofKSh1FFzGRhjymSD64vOU2DQpmcMItkVOd0ljvvRv6uOtT1d/ptg3707qWEY4LkjQIHBfXJkKvWi4b3CQAjo+BbSvyQtptH8G4SHLw9pgIuOZcZtc6xaCTGplkW8tREI9bbSHyR6XZDPAtKVOn/LqqUMgzCEZUCGvN1eWh+crI+gGqsa9Vj8cbKwtrXJk7jWwFxvvBteb63/Twc8s3Hr/5Ui+bi62lxcVnn3lGvtgX9OD+wze9av2+lIXXyxcu7D80zWYQvJ1Mgj96+PjkxBTKuGZjAnn6qadoeHWoNn1wkg0jmOi7k/smam2BhWBnqDk0NTylqGJsiiTx1au4pSGAXoS2TQC99MSgEai8V0jWQ6sUx0ASD0UupfGAYqJhY57+QkIYwX2qIqyXvEPzXrQD6tUtxGA8PUNPxs501X8lAr1BtzDresAwVFBSVOfQQa9tVp+rZk80SSPt0nSn/Gy5uXrLB0Z7vCK86YHzE9dd5PZsbak9NlV9/qHjWmOpSyHffIJ1/vv/Obml7tPvPKaKB09Ibq3Mu/PVFVQ88SL1CeOqVdFYJ5wiyzUCR0IaXS+RrRFGmuyIddO1HeKE4KgKhS0BhVZ9lAvdrur1HAt37kNIoqwqlJcb0rYNkwCSRumgQ84JyUFU0eHFyKOhgretq2Dgaope6wnueNC41k3O06JhmiAngVduw14ChEr54Ye+kIeQNCEAwItyCfYiWxcdjMDSR6U0iZXNJXgWopl6+0/MBJNY5Wmtsd9Gs7E0dLE6sv7CqJr93E3Pl0f0ZqfJI66sN1rsbbWRMpKVpYnxyfVzPtN3T6LsLwg7p0+ddmDMpg6+vrb28svn+WoXtN42bvCt/zu3MKsFVjwh2YGZxk7snxifHuPw0qJkdYXx8ER5rVlqVpr8FPTBsYP8dSEm+HXTsCIk9YYER5jEkOhjB6rK5ua0CQIe0SvBjJDwJ0VMdCjRi0cmyAjSyERF566NGCH9qMCGuoiqSI5HrqPR0GzURj1FqmSIPqmSvk8eaYFF86SqD8luVdFkUmQjBo4XF6nYRgD0DylGG61eEbKaRqg+BZDVTLXLMkVmXXJSbBqGJGAnq+1bW/yBcWmI5wKV8g8qzUqb596bM3O0qo21D9y2sLzQeeH77PBSuvPNYzOvnYsLLMCbCywK0StT0WvuuuvIxMRz3/v+ST7dDLN/9PGKkNW/5ErEjODIkWl41OSLgFGS4likaBLO6vyYdu3eEWLMVy0q1lh8mTLTzn4TOp8ISYeAqiQ8Vbk2b1tYpUMpW5skzIWGDqCwVgwmN7OEy62FR4kRhcDrdRiyqa7oRAOg2Lic6IoLOJlAFYCjkoljo+gILYjTGNsigOcDKd7d+0usyJA3sXf5FdgmIlQVssGJLFrnNJY2Ambuc6u10kJJEtJerEEvX7yaA9VusIV6uZJ92J4td3ol8wHQlgpGzi5cHB+bgFQazx3zc/NLS7wJX0/UZy8Wu3GdPXOG4JkWso/lcw/7MVhdW1ldWx0dGd2wzn4MY3ll6eDxA3yDL2W8HBrW/aXCcmOp06q1zi6fHee7kdFWa6IxsjI5MZy9N9SaA4FOUD8oN4OqYndR1cVekhnfS2CsQqIcTJ7QjhSAimJDQ5GkooVYlNJVkSSpkhU5ejXfGgZP0o0ErHFljAX7skZOKVKlmJEtGCZALEY5T+vaQirX5oXLxZuBGGg1yRoE2Nw/sYF0EalP2JHkyskKj5ykaPO+FKSi9cjPw/prus3NVlFs+Pkynw43KqvlTvbzJK0Sp3C1wp476189Zu7KpepYY+TAysTRVbYXnjxQbTc7N9+dncgV1mWXpksWWK46PDT85ptvXjl69Aff/36l0/7V973v5U7nM5/5jAFXWVAXx16WrDCijEYDxRHqAJBLiONGGiN3InAU+r8f3EVf246TGIhzS3P6M4k2aqKcp+pV2/+3dBJ3kVZVprUgTFIblZZlQo7GjiwIls+Ftx581Oh2R7XonayxYS8BQqU4NXAlgJlJ0BcJmGEASY7M+0HWPa7tRS4T2crQuQS5RlYCKRexyFBhgYU7KSMADUXzxyrLqo3MMullKC8OIDqli/S0D6Uvlih1tbDHaCtlmz1DeSTVLrFx6NTENK8H0PPgCWQXkH2QnhW7Bf50p8vA11dcWi65Z11bW12rsxgakwtNogRw5sxpaZx3ypktf+5z8WL3T7D5SCh83m6YhLn5C6Mz10mmq+eXZvfNTPmVYbYVTo+ztTbCqpFGlcpD5aXWIkNmbHRktbSwPLu8b2SfFqPqf40uHwsHEI+LlFnPdJNMrIwmlgsFeaEKmsI87xSYrWyCkE/RVvxgbGtN3pDmkKzHxEsKKbE1Js8TNZYRYjwmRxgkpIg3pw2ptTIiJeerHImFvFUfjdoeaeHJdxEAUrI+60Pbpwr+mEBSNB4vKnYdZhkRkgNQbuTOhepw+/DrFoenmo3l6stPTpLDyQr0fLk7YLrnOZMtrS6Pr4wfXhs9WMeE8OoLteXzwxeePDx5ZHXi2PKRW4ZGxrImLPxkmmnTAaMpWGDx+u/BV7/mU195pPXjH7G11Y/Onv3EZz7zvgcffPW+/U/NXbJxw4AtVG8CVsfFXAzSSKYTk6L1VDlZKWGP54S9FyIkDM6cLSMB5kOgyK1BkExeyNNLD5g1FuN38H3eHYMcuSghOopyjMp6TAplwJEWWcWYC2Nz8XPWcaWXTFV+gkYpEmH65ybXCyZOUX8F7yoY5CjGFmvtAoD0sTYJJinKNm9IJLSUnCqSXSDEouXoMco2jErJ/W2pBaZceC8uGcm8QERJYgYklxcLWRFdFnaHVc7yyvLBfYcdiYWsVd2WrZbrbLyesYX3g4bNzc+OzqwvsKScvXCRVZEBEni8xNXgzOkzDAo0RF74flDgbNPRZoM/CVxkl7+1OVZLZuMS5wFmZRSGxsvcN+OERVh7tdQabdVGq/WJ1uzK7MHqQX7/x7O8eGgXGjqK3DzufGnUdVEpWXrltkWItSoaExeblxMAACAASURBVEmstBBJohIrilvaRlhiDnNkiLWOkE4gOQbYGEusSq3BSn1ljW2tSZgNkN5NkJAHm8dCHqNmipk8D5Ct9RaiiUkETvJo4iqUSReJUL0kQuUgSR5pKGOSlWiBUYWMoBwrkmslXM28Mty5+Z3nFl4aW14aYre5G9728omvHqovFjyAuOfco8dva3xrtnLue9OtNZ44OczW8w8fuekdZw9ev9Jplc89MX368exDAt8EgitYYH3gAx/49Kc/zYxF9bFjx9g1lE757L/8y4OHDvuHpJlzSfKjjrPPRHCHokd2Eoxigt+zRZr5Coq2sBsZ0D5qAPq0KN/SqIlyoaNE6VNrPjvFyoc6nQvhZ3ETNkdVqHetBfuSF+eJYFgvAXdOYJCdi0oayUxAKka2RBPxSZWtHGQEaHZjOmOZhZ5Vl2uFT8xdlCAwSFuhj3JCIitHYjZMeHylnya0eaGtTVxrvKusAWOZWuRC1zIUUrkMbateQknSjEYVSs/aMPAEq8tT5pXf4tLC/qmD9KqYnXcPc1bK3uW1W1xsk/eDQi6vXrIDO47Onj1jEgsHDx3ijwMWF9d/Hqe7/VXq0WAC5s8JJ0an5pfnKtnqan0ypEXxem98FLKf8Rkv1xczE9ZYq/ON8YPVIT7ParXPrZybLE+ODmdbYFBLqDKElua7r2itV6tmBiMZW8kiSfRSKretvaB3lQxtDsZVhYZ5QLRVrRjyPNZYyNsWOtVYchW9RNL3f1JCSHeRjLEeF3Jnp1RZtpAYumhzayzY1gJVxlsw3kKsirbR3OBBBAjpEJBmQ5CSnCRmAegl9We+uwbxddUwM6+dZ3XV5rNL2tUuL7w4euiuhVPf5O+F0/TU8ulbH993W7n1eLZlQ4mVuP9ipb5Q/fF/OV4bacHQqutMz1ovCnqmxpmsvlM3UXH6i1/iT4X5M0A6kU0T+DqEeZZ3Ewfe8uYj3/wmmy+AoYqT090tuj2e08CdBNzHdofMO+m3/q6TWka8jvX2PMKGofshIU84VascEwQSGL7HmuqU4/dY0ptZYIpdi/VTVxjnjiFxKhJqST69VRRhgqcKTuWuomhZgjRCujYqgSm2xJCi8TJPANTK0LUqoid+dmTgeOlay+lG8uGLtOaMSslmMyYJSUXBIgZZyqQqujAeZQKLRZsI78Csl7lyYaK5vVhQrczJSXo7j577B10XNcWvvw1k/my3kBeX5qezDRd6pIyJH8xpd6rpdRQD6vgs/fDB9U1HmSH9PbvpRkfHpvdPP//ss4ClXFuqr87V2WehMswXYOXqcKXcfRpok4XF+Wqplu0JUe9QlW0+ykYStfUfmjSsUKgOl/iPF4UkjPiZ6tHJoWzV1S4tthYbq43JkcloSFR0C6Mow3cvmeorZAYbiVpHDkayejspWml+wMIrl4tYKxnDvK2qbGirXvrIICs00VwANFHpABJ+F02LlTuKWvQknYkI4lSPZQ42jnXkT5SFLqQUElpjoj5RUjSzhcQWvatk7pijOTJ6JxdlkuQ0Fg25yBP+BExHQcuZqEen1MrK5gm+sAhDfy+FVpel5Heo2s3Nmx9WSLXRghMfTk7mz1bXPtAavbFVe2dr+IZ2da7c+U+1lX+urmXneafUXC147qVgakwTOuXcnvrCAqOJLRLQs5MnGyWw2EIuj4x4UU9n0QWX1Z5rDnYDdz0ShpSG4K4zQ7iToRabDA+zhka/49RBBGbBVXkhYRNAhhEsmMF4pFYwctIq+4uwz3undHFzeEeCdVldCo8FccIAwvwULcsyAZg6b57YAkBDivx58+gucsrQeAkGi9xFw6yxXwnkVJF0IWe2QvAn573M0ctQuWAizJtAbiWCixHPzRXrPH+JJXwW1oYtYOGtEUZKZNdaI4CrEGTbiyHijYlsNmeaIoFnfmdhOlweWmVhxYWh+3BofmluanJ6w/CS6Sv77KrTGR4Z4lsru0uExeWFA/uyTUfr9cbL588ntZnTWnV+bo4PsFxVqWbfZK3MrmW/l0Mq87SpXOHbKtZb/DfEkqs9157NtuYixCbX9dLwyPD4SPZrhllA3bA5AzYEa9YP3PBEabXRWV1aW55bmjo6xgIrW3WNlFpr5XqlPrs6Oz2c7vzuw8FswJmFEzQkzlOmdwQ06JUURhZ5N6l2o7SpRKIq0auYNaKbbGtNxFNLSkwMUJUNLRiAYPNIklfmbU2eVEVbqpIlF92VrCHUY5EkMsSoJMfaaKVa8jxAGsBRyNtSG1NCZX4EbJMUawtlmKWXgHkCox/Q0F1Rr+sOPWZz+wWfJ8lrItuuyKyo+ESdZ9Zio1nNteIxDIAmfbPS+PPVfWwhyknCZ1b/W3uyMdx5uKoPN3tGVPCK8Lb3//JX/sN/eO655zDiV2seeeQR9vNEvvjVr53MfdTZk/inq4Jh0eeQd+fcfh3d37x/V/XxiyG1A5KD1CgvJJQyTyUNOUlxSlbeP3KFp1z8PpfOdzrsj8XDhLgHKZyOTe5cjI4SpYrCR1iisRUCVSQEkkwsmAGA5SiA7FpfUpuYJ7byJaXyBB9jsK0cKQfA6ornNGw1x0Fk8iIlJCpGc6xsHptgjJXRFllF1eJOSxaDEfIMUSnzSBJrzRNJJJNH28gQwWawkNRiyEiji9gEiwf6rc76ngt88LS8ujzB3wNmyReG9UPJNI9ubYVfqSjzwIlc32bZC5zZpqPTB86dOQu59RYWZueXLyzziUaZU03G2c8J8jdHtfpao9Vkls4+nGqzL9bqhnm5dOD6Snfv0y5Np8SP5BycPox70V4yztYhWZzd6GloZ3bpxOzpbH+c4bFsVy1S9nkWb5V5PzrSnq3PTteynd/dmRLU1cgWaJ3MybV0UK+CobE+c2NXi0q5bSVEmDQRHGujPpJETC9O9IXmtnVs0lhvRwCMsVJCod4MGmAqgkTgkOn1q82FSWjNEPUoRWIlRZKLFuSIXMl6C7LqWmdngYsAMCnkTKr6wECawYLMyZ1ilZRo8r1BjyWdBhgYCTzJhFdCOP/k9M0PnJt/cZTPp/gGa+qG1RPfONTH0XtaI7VS+VRj7aH5c8eHR9+z7+gHW2PbWWA99OUv/8Lb3vb/fv7zOONrArm867bb+IUsWt4nglduVf8hlW8XeJQaAZLzmKjpP1Yu13tkzssJW1LUmMYKvVOeJNEofnIJGgYqQiIlQmKVLwopPe8Ks98rDL+lE2uFKeQ0TLUqWmmniW1SBBbNbWWePD4JyQBMkG0IzLJdGJyQRL8ika0NIxuyH8/wsIGjkF/6KJhe5vYuX/YuvGsluBVcNnDERTcB2DwRIhtV4jGbawfRiDky2JwqyeROVspkpVNlUMaP1nnNNz46Dl7M3Tybx1nWsO0XL+lqI5XFs/ysTpsfK+S7qPVHTay3si8pyvOL88PVkdnZSzfnW78QcInlh8xYXpXadTbP2XxrgLvpqX3jo1Onz53iHV1wTe/wc86bD3L5GJ+uXlpemJrcJ1jRRSZb+XUbUGaTiMWFuawnKvxq9frdMo3jY6z6Qtd0uDTXnJuoj48NZ3tMxxQ7wbL6jRUVSWCqOPQ8DkSglkQVObW2irSqUh71BidV1hucZ5Br5YYhoCFFTV4WIHEaYVsyGAxJwhOLnI8kNBCSa6b1S1hIqFXXRSv04PPJTgUgxyomHwUBqIomlmGmilwM1idCNI8ysC1t5SIhVNFVCadqUcZWSKl+w5Bkzm7X7uaqC/J2vfyTLx+eed1CpcZjqeqJrx/igyp7zAsHug+hjw2P/qS+dP9UthSb5BlY9+FWHmxNdk7iTOePtE8//XTnxIkHrrvuqXb7B08+OVqpPPDzb7/lrtd87GMfs9nlCrgo7OIBeXZoXugFTvSOKikmJoZJH4tRTqx2UuzTZIUKuQRGpGTrE7+mYu6OEyWRa0YobILYqJK5SRJyFwtJFBi5ayPPXLnEZSSusfJsxiPkeVCSTG5zI6nl2Q9XCF7cJL8wIwwAW0UeyaqNeuNRSo65qFRlBgTJdmQSBFXlSQCjJHWt1xkE5jiSOO75ZRb4vBesxOPwxCNwlG0r7yryfpAbLT4VEFK5AS4KnARAbdQIQx71YhCMXInWIRhmQbaRhypSMlNjC6bRarR4gKXHPV0b3gCu1fmZxdHNbuoGw681D4+OtDsN3t9NHx9fvri2egHrUmN581FT9mpvqLw8utphfwSeTLE26i4zMuKNqxthcNxq1c01E6uuA9Mz+6b306LJicmfnHhhZXW5G0tBprXg3MLc5IRfZRbApOLkPXPqVKfCko5Pz/jmhR5bB9eGS21+/If3o1k05aX2cmOlySdZ6hbl5o3FKBvAYLNMKzibgJHodqq63b95lNEbHAVgKgpAUQwRg4ySlCillzLWmjPiBYiwaB6RyAo+UQqfkBfSisG5eQBjzmAgIZPUb3oJq1mXbtS6wZOwgsEEAZMkAJGjT7wk3gWwrQQXo21iqKrEPI/JB2byGJvYXKVikudrRc6gSrzQeySUJJOo9yBJeIRBiZBU2Vb65krl1LfW72Rc1Ut4stJ8L78fuLr4P87c8uPVxdtHJ5+pZg+l+6fsV64InYtQDOVHS0vnq9V3v+99w/XG0w8//MTjj332S1/ME7m10bYQ1gfQpxdMNbj5IGyiNWehSVRG2SFZoNZyodDHXLbkSUp4qHW0qlLROYJSNMSKInqb845JD7FRRmShHDGiUp6AI39SpaJ5YjyuYo01XSrPdDrnK2kbjVH85kGfxJMPzGCdhJyxTG2sscgZ7WLGSobkwquo2phjIgC5BGot5K1Ma0eRLdqKRHjkPJUABMCHUMmxo2n6Cp5GwcnB7RVSEo+CyYOtidHKVj2QDw+klTI3CXpkchLm5AlYGvuyOQLJM5JhKCODDS0ICQxBYI6SflLQGAQeYh0ZOeYTgLAWFhZ5EjQyNrK+Z1W5NH5whF0Pls6s8V3Uum22YSk7pvMUsc6UGQklczjqdYYZT7o2J4Tx0emZQ0d1gIDxCd1NN978k7PPrcxtfulF54ihe7+Tzdj1BpuQLmdbm/ZN7BPB3x4B4XPdobHNHbplNDReajGpa31YLs2vzdVKtfGx7DlW7CJ3r/SyVe4qHX0psY3rLS221AR6gMUBeSGJ2SJ5ooScFM0jeEB9ngEvhUoIkwDkIgsihGFM5EEmaWBLtm2M01T0jBajsVYXX5mTUwUsz6Mq9GaLJMgAHLAFKW1rEwEMk94MiV7ktkXIA1zbqyrGAEbFQrCVFkTOoErGFXo6X8kBIAgp84QkwrYh/0u1/vZq/efGprG9cXj8TLn172ubX1v2IsxOS6Zpqok1gi7Oz//d3/1d1FhWB7nX1IxevYZ+d9vpMPKCQ8pX9dEMEl6fVtBvnBVyrRwNguQ+flUl7+QkBoeEaHVZPNEQKruARPxi68UpE4FNhTLRRHPJUZM4VTEyODBZZe8K2/q7ws0rU/SuANDY0ILJIz9KMXNc2KmIqxpXODQa4aqCwSQSxKBae5dggPXAIBdhrDWnY7BJFOwFvPwKH82NF4DZeXw8uzraVgBMWFoh82ySeFiXEFgvHnPmeRKNGSTQh/SkAyAGp8hpWVbONeup1swGQxVlA6IepYsG2ArBtRKUsyjyB1gGr6wt8zkbX8DrNRuxnTtzBny2pYKfRPFJ03itdmNl4cxqa/mSFYN5otBoN+ur2accbkqtOnzowJHwTX02elfaSytj8zO375s/X5t7aVEb6mAkqmbYknR+cVaLIVoWHVluNpreJ4IF1sgY2zxkSDeBSEYmKqvz7bXlteXZpcZa48DxgzLXuDWVBfehNO5nC9JHGIMtmrNi8HdIVJH62LrKhBbMiQAsIpENsz4G5tpIUqgUeR5G/yhRhWH0EovoGTz5NsrKtDZXDDESmRuJEDuQIrbiF4m8RwZh7CJSoRQ+KiXnGRJMNCwkTxgS81jEPGFIihGMLNeRvxcefVzri0cHDvPIoPkHPClxt0WxUmvuv6szNFnmTmvumf+jdPH+1tCr2rWzlfYXq/X59V1g+nFkX1eonlcABNcPu1Hn10y0wRFb2ECt/9tLb1gfgPijF1sVCqaKnZsgjZFeSCntjipkH6qEISnSG3oJJRJy0iBnXXRnTmwtS0AjZKKniJ5cABXz5tEqz5MwmFN62cJJirYUI63kaFLII4ZCnlneFfI9Vqt0JvsJ80uuKLFoOQkgi+/SCB05KwNm/NnZWdZYJFYJjHOHJxi5GSRbL0F+ExcOxgJgxoyo+vBEctmaAYEEgzFmY45QAJEZsJEMQmQay4DkpGYECmlC08rKbMSMRjkmrjWzeOCHXCSasMgjxjIMJLuzXgJVCAIIE5HIAhRamcEY21oQuZC8H8z/TA3I+aX5Q/sPazU1PzvPo006IL/9Fe8E9103zgfplfrw3Pn57I/5SJsHJytlu2fV2tXx7JOrTnajSvPKU5P7Dx88ysUyg3ePZvab07X58nhLq6npmYnRiZHzz801V3kbkvGwMOJinUndxLao9UZ9mFVg4m8DcO7sWR3xTFEtTYxNTY/sJ7SuO1zyv05nqHTxpZMLL69/R6s+B66Q3IfWZFQbAyARZIISwXLCgD4OCZrPGWenjMlYG/mRSaZVUTnmpETjYlKFPk8SMcia1U1uKgmYO9G9yAnSGvRmthBJJCfmICNDUktRZ1a01YLVLgBwaic9mecxgw2tUQNdlOCohHeRWsWc8ERAQlVYTMzBJAwJIKkV5yCYfAdiq4NOHmMTEkeFvrrIcmPmTZWVs/w9LsXmgdeULv7gS2sXv7TVXw5GL5t/Rcj5MDW1/ncotKS3103zPhj1RQQMyLnJ3pXEoxwFhGa2kJgIRg4gSQmSWoNdpZjJSfHuwQALmIMh90xH0bV5IalVUQwCS1MYVZ4NTSGhzCPetMkIiwymQkgYXLQQDaOjvD6aUKtiopTHOf5Kne+xOvwaVHEf2jYfYYyBNnr24fBhBZ41B78+fvDgwWS7ARvGkGDAxFUILkoQJzIpGhqZZzAbJsiykuyq/kpqSfKIIKuEAaWWVlzY2L4uf0mzVWSgu+CJlxPBjHGRF1L0pIrkBiRhUJRGAMkRjyylBqQBZhagF79hAISBQYKrxNDkld4lk+p6/dIKm47uZ8bjUqWN/Qgoe5l4yaV8Hcy7wv1Hpq+75djJZ0/PnueL8vXEEqZZalXGmL4zs6Fx/lSwPTI8xjvB+HaPwFhdLY1erGz2XNZ1Uwcnx6fHzzxzXk+wuG4m/cDe8TOHjmx4u+RfVoQXLvCbaeuJJ1j8LjcF4uj2Q7cZvBbMfiqRPzBc74JqJfsaJPEiiqT3EoyKwiTIjRA2B4M0mHD2kczPQoGkIkOOwWlbY0zeJwBbGYMV7VJSLVWiMgY9MgnXjoqi2Sw4BjRRFiDRFDIUGhbyS1lIYke+uIgWPeM2noZqESR9eJIqkzsqBGGMjBhk620iZYS5ymyxNs+Qx6PBhASYPAH0Z4hgyyLRFKfjbhIGDD0pj8a7M9G0Rw5kX8JnnwVkqbr4Ymv6ttq5b6uY5Io5UVLcXGDhOB7LPNQazhOCc7FQcDNciyYGoZbnYcYjuBYwHsmVhEE2IFpFGQBdRkIgxSrMY7FQxqQPzISGJSGpmCjzjswTqxK/LhaCFYCqIkBWtkWwbF/GU5VnMAwh2kY5jzGnBWPkJZpLJl/mr5+6+2P5N6GjuWMTQySMMjCGisA8vuL1N1cj1lXdq2mLIjsdgI/M0VxVCskYFQ1DQCOlMbEWpQD5WlkJ7DgpgiwEi4cTkyawbIpeqEpMVCQHr8+zmIgZ/HqHKNsYABoVZZhURSUy3tnV3ddI22IlQ+FjhPYIgNo8QBqZJ4ZRiayiGSS46GAQUApMnn01Vc1+6Tkhp08WlrM11uzFi/V69tyJCWLx/Ao7gvJXhNoONJqwC/y+Y/tnbjo0t3Cx084m5exx11AbpGH8QdHRo0dnDhyNh1W1zU4DOM+/sjVWN5Zsi65sl+fqsTtmVuayLzl81Tdhd9utQ7oGSKlmsLA7e+oMTTASIfvrxUsTgNOnT/P23QssdoeQlfons9qYEq0RB0VrjFGVi70AwLrWKUNcUVHHyDSD7gpiPCah+YIZrDBiTki0iw7MX78SK5BRE2URAiBFcuQIi7XoYxVyrLUcMbBZby8JwHoJSS3mSTMZbzorhQRAcm8jS+9aC4kjFyNAMlUWDJMAf9QksP61ZsDKSAdMrZXRBXLixbV5vDUWDGbMSBmr1Jnib43t48zNTuduJMDYC9jmCsO2FgyAhLS5wOLnsLgUubqPgMvDhw9j3AtDVd6fwNiSZDs4A2wk9QhCL7+JPoaR9zUIz5Zx4lE8hWyJMh9DEnAfKttaSGwpJlWwiVBIahONTKJVlCO/eMhFEqssq0oMvXgMjoFZicCj2P2l8pF252z3qUAvHoaQGSyYR3GqyLKAuYaBzYROYibiMQzfEsEAILF10QzWAM4HE8OwdwsMV0wig0hQ6hRAIBlfKMic+GmIvpVMYCZJHAEjAEwA6Lmdv4KPSMmFYUSlukuaqMdcDLiT3kVrEKQUiYsIMYExcyQRRrUGRMNElhfwpMMjx0+cemlhdYF9rWqjlSqLp6Fs/cQqh13deUvn/UI5DvxO8/LsSqmR1bIdKA+uMiu2Ax3hDwabbLl+/uz54Ykabwxb5XZ5iPbyu4OY6W8JMaqOT07Iu1tKbIShRRVfXLXWSpVaaXg0+5O/rEYPa7WRuj7ICo3BcHF5ft/UAes08c3P8VH++k/xuIoFn+ZFj6fz586v8VOJDHMuEJ3yvqPTy7Vlfs96oruLqQzpT3VpFuTGYVKVNMgCSJkvokkbu8GTZ0ADm3OzcSPEQkp6lCwgZMsAVkIZk2qjRkGSk/K1RlIruRfGAJskQgKIPJaFIZeGXLL1CacNrReSYr4KpWuFB+Mll3wBYK4TUgysPknGF5JgJXPB7EUMUuZzw1QlMEpSZIu1kURINMJHmKkiPgKsx1ZyJMnXWoMgcuXRNo63TutEc+a+6uostCxZOkMT1dbicPfny8RAl0YGlDEAVW0usHwA5E/5vffe+53vfMfLYSkJgpOKBB1JvNGql4xLJflCLkTC2atKvqjtjzHM/CZUwNZHwZgtlQJARSfQGy4qMIqDUKkJMZ4oxxgkF3IalrfNawgVZeSJMlSulWAGC8LYKYIZJJCbxLBonmcwTGyz5c5kp3S41fFzrAiQefSSkBvsMFhUkTRoVcuTGNZYAIyRnqLNJXB8kwYagF6cXZr1jNo8CZpIghXFeHLKxJg8A2AigdwYh4EAof0WArTMYolGLeey8JFBssPIk0jDa0eoyA3Ih6o4IRTGSGswIaEnITgMy1l1Vw/AtTK3RgBzChatMgp+MGB4+Jabbj3/8rnT5043V9Yf9bMuyna3GuHLipcaS831PdZ5vNSpjNaqjWwnKo5Qqb64+Q6L+XVxZJUjUO5UhzrVbF2UPfbKkhowPXngwL7DXNUUoePMAKGNFNlotNKuTQ1Pq22NUn2ltBp36spINxL7NUxP7o8M7Vb7zOnTkV9YPZdFFi2LaX7MR1W0N/ssbGa0vlReaa3QD1Mjm3tAQGV+H7uM59LOl8bICDCSWhhICCR5L8wx0fhHIEUMhnSjzWHT+WINYGSSDbsc6yRWAjBtXhlrDZNgsBy5NuqlzILopnyVATYHiFyIVJVNIiZWmSoCbBUFAH5oLQbWr5wLYBwG/U8yJwJWdpd3YdtoIquoMb+FWCvZXlwld9bHYmEkGAKmKppItsbkCIUkRqo2wWS1rXp14TleC5Ybi83qCM/DeT+4cd5n9xX0qk55wDJnrCqhESDbpkHhxoAk33777R/96Ec//vGP5/+cUMHBFYOzmzxVdJG0pBDcR4m5vEd3UZZtLy/WRxMR2mmssjIvQEXvxbsHY/KErnIAEsjz7hJz2RYqzQYmyoUmHC/0hTyJuWMTT8wVrUksJJhImA9M8yaYQrYlflmtXTrUKV3YfAOz2TrHJlv5zYcBDCXJ3pEBM9Gw3mJjJ7bF6tZvAhQPSsJTlTRykeSsVOCBXL3KbIVMSmBmgDCpRRPBOKXY5UhJfNJGvGXzIECSMMgpOR/4Y6LmE7ynV5sLCcaR2IUEkFqf5U0SJEVj8lVypFCptV8hXYRBJNJITtgUqkhsmHAePjTDR1EvnXpRP4PDo6Lmajv7b3GJvaMSwqGhbIdRXqaxv5Or+D6rudYa3tjJ03oE/bUg+4jSsURIDNmF69JLV/zQnp0g2Cdi2r/Ykz3F4vcPL7nUmZ8/7V9aXpycWP80Fv3LL7+8tra5xYOQ/K3i9L7sxbcTi7DNGKqdGtP8cIXfp6ovlZojLbZ33z+cfYIGnoBJMrRAMeltwGikdC48RQnkDFT8Rh6HlChFQq2GgUnQeEYVRisD9DD49iCyCWbCWCXvVJGst6BaYxIh1iKLREoxxNxgYJbtyEqRWG8kgtkMVm0eHAHIeQCGEUORfhObcmo5oBqxaGAgaZIxIOKNSZQUE0fwCCMhqY1VkSrCEoa8CxtiZTDKKBuTCNGRTcxjwVWVpROV5dOdkYOlxmK5dcn7PVHRabJSkV7Vs0NGtfoze4JFZJtnY4johRde+Mu//MuHH3446NZF8GJUngfkNXiJ4Cgn4C17Kg+wxrTSUHRV4iUWEwxF84jBua168ZvKDDaRUKgXv5EmsabQitqo9xVLVpAkPBz+RCO/IlGekDgAGyLIylWJIB6UFhIARY9L0ZpcSAznKqX97dLRdvZ3hVauS+EfR5swCKJQabWKGvqSeSvBO3GeY7FIUpyOhNiQfUZID0YC5sLr/BGbcumjxjK2pOjIVQhRj0wCbACROEgrIyBRigGlMBQNQNDVC0J6gyZQzFMVGoqESRkTX/PofzsSwGwJifWOxxqRJDxiI0KEvIlqZaJacgmmNQaBA337LXecOPni3GL8Sj1CzbJiMQAAIABJREFUunKndP3RY0emp0+dOHF2qb6c/S7h5oFI0NljoYn9hw7MaJ3tF7gU1T8Ez7EjHn5C2rasmVhvLa0sTo5ny6bs78GSvd0N7Qrzi2w6yt+9ZgeR3SX8XMooFtVHjx1bf5LW1S7yOnN2bnR8dGRsbP7lhU6lNTSaDfLaKPfkHXZP7Qx3LjQuTDYnx0bGPLTUe6aNQtaE7gVYAnmsRbYtQr5W4OQoGyZBuXkwQUNCEx/GxGjpOdYNYAyWo0iiKueqIpcgvBgkW1MISJDGSEhqoUJPsl6Ci/IFIBFUdB4BeQZpjLFVos8DGJkanPZO33qqROnRa06EPI9qY6MiJur78DhaCwajkdIaCziSr0KAqgxG6DKlQ1d6wEktw5WUOeAAtef4Q11+5AFMVux2DrI7UHry6A4ZcPbqhJRU8IkVt0oMX270Nb75Cyz9ImGCFLW8ijEBUJRjMDGCKNtEGLNZnwiFtsLYl4sJWwJIorIjYK4SQ8LjogXbImBOkgaAZWsiWIBCnghLSGKVZTDmseBaNKTIIzlqDE4EDKPGxbytNNGRwWaQhhGcNwcj5cVyaaJTmmmVzm6ssajCkKSh76JpE0E8Gt7kWlvYI2sshjdzCoKoXBV5cKei/IoNJAnZtWDQxGIhCUqCFzgCsFUxkkhJ2HFpKFghiQnNRjwK2FUSOLVJajsAZJskSLWIWgGIhBesjkdKMCTLMLgotm59ljkYgVVrQwBoYpU0gpH7uKvnjUSQHPHSyBY9jb3xhpsnLl44ffbk+iOlS+fDWnWIx1A3zRwem5g6f/b04f0HecV44vRL/ISOA7AwMjR25PDxja2qrM4EYiMh4JSLFjHznb0QLKbken5hbmIs21edgxu3vxIs5jx1W11bHR0ZRXnmzJn0l3ZKpX379vNThjDr5KDV58+fO3T9obHJUfhHRsYWLy75M//hycrqXBZCmS3pO8vlZmmsPJ713cbwi66jEipVIViOANX20cQqGDSAe1mhT0Y45iQvtgTweosqrnbqdnE6tyMwKGMujJujogHWS3BRgARM0YB8lTQASJgrl7J/nvcFHvP+VtTS6kJbG4pEuZCaHk0Og05zY+heLyn68ES/wExoE4QEY5h9RbDlQirZQpjY5l0kPDQQEyVXWcA8O427N9uFVBhGfZSpEg9C9o4j1lHxnve859d+7dc+9alPPffcczy+4pOL3/iN3zh27BivGP7sz/4Mlw5CQmKe1MYG2LExia2KiRIwhihtbsE8FgSLDFE2DMGEfdhU1YuBWqpUK9lUFuQxKcokCSYWkROTQg3KQajEbEIL0hfmedoEJhJgfdh8kvdiQw8GZuVQiU05+uy5drtzlI/fu9+8i0eDXuMwMkfZDA7bGgtU8WCDUU3iM/D/n713i5Esu870IjIi8p6Vdemq6iK72WySQ6s1EiU2RqZIj2GBFGFdLEOQHoSBgcGAA2gIAaOBJT+YgF4MCJDf/DCAAL/ZsuWRIcgQMdCIAqUBgRFIk21zyOZ1KFFsNZtdXffKe0ZmRoa/vf+IP1bufU5kVovU2EPvrt659lr/+tfa++xzYsc5J86BUKbIU7gbg96Zg8cx1lhpUuweBfTgKYJJUG2YMQgc1FgCFmxqJpbpqgXB7haAkScmBIr1CDTzKiu9ckdHUj69IkaE0iCrMAKsVFCq+yY0DEHFJsWiFkPUFzKOgkmvTRwxAkSMrDDXSmcoHvlevXJ1ZXlFlws9HpyL2ty4yrmok4Ptw4O9q0/d5NcQ+4dH1566ztHv1W+/wiuiDeZN0JcvPXX18jWCilnRlYkzVFMAfr6nn2v7Xite15OWTcsrPP/z8DHPiR2nd93wlgHenVhtRi4pLi89vbe3v/U4PY/HheXFxtWNtc2VvZPtfCdZXkCcdq7c2vTDS5fWe+PRGtc7h3vHS2sD7sdaXO0OdzmGdzmvtsNt9HsHm0ubHiuTx42lTsVasLaOR33B7PFBkBzB0EoZBWQwkUcYaq0JDPCJVYbd6y0TCgYVpeCn6WIAGnztbgG9GCxEk3mcsK0IklXbXS5WmiFmglwA3HQykcdWKQuMQ0RrgWEAKUZipUccKASDX6XAGG8BmOUomAdBVLbK5KaEAiOlkSKJLmRLQU8pwDSZIRBq9xQzMITIUMjmsV4ucicWemuMmd3kbtWXv/xlXkf40ksv8Xsr3Dj1/clPfvKDH/wg660iA9GptnshFC6FFd9C42Z0tGzBMOcgjQgbae0rF/DWmC2SWNnIhpVPGm0hZFHVhI2+tZJxLhgaqaJSJJEKmRIx7gJKFysLAV9romylBHiipmimDKZFcw4wiuhiWb7Umu7okSkGINztdK6M0ysL7+kRjdEWZMWMvlEGSAi2F4L1yoqlFYdpzsroTYU1j4PIkVqOCBRZEVCqqZqmt6kZDEYwzFOohjkZRSwAZtM4QyjOAialqWw1JwCWVjT5fIIK2SmZ0AIARoxfNbLyEJV5aArmcbaXg5rZ+dQY06pfIBsxUio6sooDWVAgmkIisKHf+fy7bt9+/fHOQ5pLg+Ub126tr6cLdqfHS4cH+1w9ZSjGe7t8eAz6g+efe+ftO7cfbT0AsL7C2uqGHrJAk2JaNb0taJKSlExwNeO9Vju7W1zDO+2c8kCsh68/2rvP7z156U363WL69WJ+WkR6vWCvy2tz2CjFve0A3/788/wg0SEIln+WmEciX9lM0sL4dPn47isPL91aXuqkX5Zxt27/uHsyTLmR/FF3qCdW0PTWQXbygqmb1FGPyQUThaYAhlnAJIBdaiFzpKomaeMxkuT5wqAobAWdO5QVE5vSDAiUOhmUSsmC8yn0ReYFldxNIrCoCsfYLAAFidkcSwL6wiQ9tfQWiGUksmBOIJqkNMAMDCNFVvCa6l5yoRcgLrkKKjVjrSiOZVOdD6YCpgSoTYKXMUqGGiXFzOJBI6RNFupA8o0AaVga+WgJGwcNvgmnF0KMx5wOF6b7oQ99SCPCFUDQ0pK0hvKjH/3o7/zO72ilJY0AN27ccE8mRGHvQoPVCUVZ4LqOmIK5BqMxeaPVyotQCVwQxnzMJsGczK0511bsVTBbb8GE1jQKTmkOoTBthNx1xLNkzaMojWzGIBQFLzSqC181qTVVEEBqihc9EoOUUUZTcAqzcZouF95OTyRpLQVPgROt9kanZwwa1lg85F0k1MKb04Jd0LD1vZiwPuYvr1pjMEKNiVYSYzWj+/GVdrTaHUGHmxgryvJyrNpkALMaKrpWHyiN4dIqEwkS8aiW1bVi0cRqmWajbAYLchQeF/TRhF6mKLTBhDHew/jw0UPOD165fE1DB2B0ctzdv/uD7/mxb//1N7/z+p3168/opAihd3d3uLTGzewx/5xU85zUTFNKj47vH/d4ugOvMZpdbcR068YznJTiMaQno+P9x4cHD7g9yskmgRNRnNPiB4+rqyvHh/kHTJx3Go+X1pfe8txbucvqDDo0/IUGvte//fqD72y95YWnFlcmB33We4dbLPbGPIJrb2vv+uUb165cS+Hyfm2aesBlEkzWRgwAYUxVCPISZj5P4Vg3i0A1GwC2BfupkGx9JrbnQHSPMoFi1yzPwSg3AQyzY5151DTCTBKRtSyYGSxEZEEFptAAjhqR1FQ1JkbROGvmy1ejjaymwJEETTSZDQzFOxFygcRLGzFR5/WTajNEQe5RI3CbPiIL2ZmwKGK9RJODMyutdK1/fDzqHQ+u8jPYxeW9jcVeuvNkcpN7waLUn3vuOYQf/uEf/uxnPytNAYvNonuxA8ixJ2pa6abZ0Fi24I5JiITGWDCDBZsQ8LXePBaELJoocZFj9G0clugb5ZiDZdgoYrayFiJPlAukTBAWepootRoAEwsmmjUepXqX8suFpgSD2QHiCNQ84Gul3RFECAYh6i3LfWeh0x93rnW6DxsyNTYJ4GNKtokfEwClLWYBGBlWDKyxODGjUaJWbnJsS6/WR1rlgybCogyApl1ssob9lm9FaioxY+Sr/Km1HqJrACLGAKcBxr4RKYAuuxCLuHCqaRI5sghj2QdA4VA64YiUrHDaKDm1hg2NO0VWBDlKcBMeYwRw8hYAFBjnIz1N8SA8de0pOwq20Osfj8bDQ1a0G4P+PQRy4UDORlriEQyd8fHwkJu58ud1eiq6qRwlCpDTazB6CmhxrxVWTmLlnxCm8y6rl5cHS/3dO/y4cTY+6eny/Ds67R4dDvrcZ5vOUS2sdvsbC4OlyWopRrRsin0uLG49Yn2xtrSRfjKZOsyBoHO6PHzjL+9xgRIXRoYaSzJOi5RtgykUVnonOfpmphkVgMYQdok80/jlX8AiwRD5TSIHYYyUkq1AkUzCunMLDL7McIpIIlXBIF9qMDYhSKZGTxEsymiEiQyWJSSWXKw3lTQ0sdtqZSHQLHgKFwHEBlJRHMuCvGqqOQBTFYcLRpsjSZwk2hbU4seEYIAThpAisGQlbwAC+tiUDFuttMYuEWalYedSsbSi8JHxkY985IUXXnj06NH/+D//9pf+6osE750u95YXhr2d0dZopb/acInQYXB73/ve95nPfMYaCxodNxHaspS+sFppntjhSCtmWe1VANwEBsac1teCCYvEIjKazClHw4pmY4aRR47RS3LUmFyCOcEUVPaVoMmKVyMbxxFOS/DRKJJi7hZBacJWhBOmIC9gtQsaXKQvfGOq2sdqdzBScjmHa4VPnXKtUImcqc0MmF2a3p0x5zHRXo1eAkhKhPFdhO8lDBHnLYSB1swRKZkhFUDhCjZhpIy9k0vNpkApp5AVm0zJCC9fY+Qik0Igo4zhZI2cpC0YyKiXLE4wFD6KWHEikIZ4VLO04iQWtTouF8kRZhmAMNREiTUYNaUXDJki91oQRo4OUfOY1hhRmRCAMABQIjNu44XB/u72+sZmv7dwuPeIE4h8AohBf3hEFoum7toVruQxMu417sDcdNCkZJmU3oRTzkme1d7rTvZHYIOV/uazqzt3Dk6K10vz4NNMnlZXG93F9QHn0tLD5Tcuxyi1TKfu3H4jpcRbcrq9QXo6akLBc+fhXa2uaCbjtI8msUbDIj2ElFpGYzyyMUJikkZUyNYYLIBMZqNJEYmRsnq22xoFeykrNVWnaR1uLeJYwf4OjIKesUrDVRUBpIZHVKqNBSNZQmG1yTCzISTG0NMCI4DwqgGoRGVksAuwiHHvCnABiy6WC0zKOOQMrEgp7U0ZQC1fao5mUjLyCOTDsYVlmRNTuCIWTcCUmIwxEmy1EMGmlbXAmMouFow0Bg237QL4xV/8xRdffPHLX3v5h37wPf/0n/yz//q/+6cHwwO+IPFTloXBwsnmwcHOOP18154mlbC9vf1rv/ZrvMSt0NN01Ghq5InKRq9GpWlTcrkA46/1FuyOVbI1xkQhkkS5wLC9TYip5pSv9OaxYLZag4u8jJGAUmDXTFDLBcZNhMyXKg4Q1NIIEGvmMWz6hoEgJACFiEjJADAV876AgSmOdG1scdHj0JFN4WyKPJZ5JzTvs+V9hfUay45wMg64RA3KqBEhtQ8BzoSrhJyb4ZQvqwcxyLFgEx6linhEa6ooAFM4xlMu0RplbXQwUiIUI4zemUeYZbMpq6hXhjFPhwOGPoKRmS0UMHwIQcuXNgMAM85sVvTyRRaDMEYqHzcVnaY1hQCA0pg8SEzCZ1SSVZRGEYumqGSFkyJH8wijmh4N+0t7u9vXbt7iPvfRycGI54BOHvORbj/f2TtgP2IjXuLdg36WFc7TogGhRVbSSfDt7VNg+gvP8fFhj2Pw9P5C3ha4eWtt79Hh4cPZxUSQZEvdW+sN1ifPHOHs1+xhWoms4djIi4D29/eSkRPNo9m6YZdnwe9ss7DqjJKXyBkZZGVL3bjjC6k60YYSlaKSESoKsgU7mS2akNHLBcFU0oinqB1ajkYahiAqIQsAGzSG00VhXBgBmyKV2KjnF2cODH6FUB0dlZJqIaMVGZOtMpmqYCtgESwZQMwKZWSIckEVTZEKGEWcCDKpxoUBREmNTLE+wgCwy+icovTgCxfpa37zmBwNMCOttxCtdkcwICrFU7MNj4f7J7sng+E7/847v/XqX33uC589HA7f+54XNzc2j0+OGAW+TC30eC9Wd3z5ePYrwsbYrLEcIMZGjnrlF7PEGpvyjS5mK5R4RV81GXHja8EMFgqMOSNzgSmaomojBMy00Ae5HOvOSm8eBErjXHRokVBLyDMtzU4B8G0cB2jNgFA0bcJXR38TWjBGghkQLBcYNyEBQ02xshaidQ4nfTTSQmR7pPNYo9kaS2wa2IisqRzXw4iG4qbcWVpxYNVt71hRirzOxxox1FQxH8ApWJ4DdowAyYIpeWjBF+nZJZPNPoqkR2lyCdroJrEVvGVTFRr0omWZhczIUCPDxpktVqL8DFMA89dUAqjGSghqspLsiBGGUnow6NWURrWUWCmMldhiCGRMESwX8qRYLxfXia2/dMCJpV5/cWn58PAgIadnnrhgx4sL8QYPgKBQyRdYQoaSMpsmzzty4u3tRmXA6cHd0TEPrV3KL/Ph/rfBwtrV5cFyj8uFvMGQkohYFi4vLG2mc1dy55eJ+wd7a6s8IkvlTHRUJ8cnd+/wE5FUOOnGwSr9zV8/eNwDcpddLS+wULojCR2uoqrZWKesph2k7wWDXQQDYLAE1YJp/5KcxnE6kgVndIww4bEiUBdskdZeMToAMVATkX1fLmxfFlvaE2XKYyhjquU1a2fJSgsCOKLyLLyMMQwNDCoFGEwBKwA0jUEwiQXjI4+QMoGUie6r2GpBbIwYBwQTWsBq2QK+FDclMKpxYAEQMe7RhABQTAZ8C6o6YgFQuBrWRhWRUNE8Gh8Oe/tHS3zLOuIbzctf/8J/8eH/km/jP/DuF+4/uM97F0g9fdOZ9h2vyVMWkdQrJfGkdWNPlJPqxr5FkwBoKMiqnUZsxm6bFkCtL9zBUKycL7SxiYGaRTdbXd/s22ghwaSZgUxhLlLXoRl8T6CCzU0cgdXuhQZ8oSEcSrL1zQfSOGKdDxpIcGlki3ilpzrqCxk2koew0BdNwZQ/+MKqJs8g3czPbrg73Zjg5VLgNVw2WSiyZWe2SQKbFV++5uvucmjlYpgC0aTEEYAKE8oiE2uSQ3aRUMBMCyeFYz1rmrZxUCBgEiCUIBLXGnORKDQmeRkjAQx6ZoWoUBYzRPOBwWEiaZklJF4qJqRpNinNGWntVQRCD0wk8IgKhkhiWpQkBoO8Mqocf4GpRUVdUwmzMFg8OmQdNVxdW9/eetR2wGCh44g4wuacHUsCayMWUIXSzf5i7/q7bzx8bevh3cedfKmAiPoVIZcCD7f4Qgwxh5vO6rWVk/HkR0hy3+Z1irMFliknwt27d/0Er9SL6c7y4N70WfBM1fzJqNmuASFUMYBoxFhsoxgPDEMqTT2wHhwAgilEjRSDIyoZlNJYbx7hxYZsQXrqwtERJdjq5EUid/rLKVtrmPM62qPBFE9uCa9aVDA7VrQ6Q4U2RoKbcgEjWGSQHJFF8m1UOEY2YJl+sp+aBKVM1BR6ys5VdzZSwQyySDICJAtTICNMDESkRDZy47jqwYeBQlbUEVZTYS0waGpYopvuvyIsMOk3KJ3d4/5BZ5GDTKc37nb2oe787//yf1tfXX/xPX/vG9/8Bu33/t0XX3r5s+TEL3+dWDqDJTqNow3nCjg2YmCTCYECRnUBRunQMtGkNMJqZaGh2RhFhKoBFFsuerEVKSKZQ6W4EAKOnzF1PtLUVLWmQNaDEMltdao1IbnZJeKRPQJ42WQwQkFbw/CKSpqFJrJZxoXQJAZYUSQYYEFsgNsAIDmPdZXn/XTSu3RgVol4NDQpioggfgsxHHIBQ8MuzeVCbsnybe9SegBpwkYgCWZWMhEGwEVWmkREboSJipoJplNEjTBxKgfYaDoHhysEdRO2OUhnKGYY0EQefcXn82Zzc5Nvbxz4xNaYpBMTRlSMLXqZCn7BXMPp7yROrDEQPHiBgVZR5sCEVKcKGATH44X93a21jUv0PHY8h5Ci2+vP3peHygvrgi27jI8ORuMBVw3SRca67B/uPffCs1eevvzKV19Nj3kf807oU/6B5FlVLB25Z3b1+iqvMOyc/XrCO3P8DNKC9mD/ID40a3lldXkl/aYJhwcP7gvc5WuFpPxHg8bIUCKbmxrbicdcmN09GiaxyZtJJkW31YInCTCz2SrBvoBzXpP80dsUZXmJLeLNBhi9agTpmfaa+egJxMktw/jopAgmvMgBSOnabBYwAVMxLAoR2agvAFAJZoFsKW4WJLiTPHtZ1BcMNOXuWAgmRLAsR6wUE0oWJiIzagaLQQWTI7VGHgAyJgrHH5oI8gLAmAsvjWoDorKQC4xJIByOD4a9vdHyMZf8ZtuSN7kt9nh3FqeQ//n/9D+I7fKlK//NP/lv7z289+obr3B22yEmZ7BMagNRn8+FW92/9KUvFRsAK8VgCyg1BGhqzgjTFJRGVDVhZIuEBbNgkRzZs8q0BawghJOUlFXBb2YJIuSQKrD5C5iapOF9rxFQK9sI0VPIzelFOfIIZg1NyRoT62mKyoQyFbQFGxjhResaNg2I+QvBUQr+AkYTTuemJjVeMZNHvbTG4n6su/nCh8nF5iaDrwylcbaCxZqIimJfmqxvuFbIwVTfn+igEhOGmgKnSmTzJ25UAqYZR0mOUVPgAaDhaJJDlQcjg8UgcBubwGAaczOVBfe0kVBf7jkscJIPAALMuECOQIFHg2NCadQRXDgmakAMsGMRUWyqAevYWg+I2Ly7aYOCL9gUTmA4lfAZtt7iztbjKzfeot3Gg56WPP7Y4Krb2e/ZonVQCJ3w06vP8GjT7cOd3hI/zkzPuOLfwvQ1iDyrnTNmPP6qtzY+2T7tTh/7nghTegtX37bJAZ07PxQi1jt720v5Ie9RSeg33sj3tmcty7qbt26ybdDfDXqWb/lyRtrdMIFFIH83UUpvco8tGIr0xThEF40GSClVqxlhpkIZ9Y4rQTDVBEWQHGFo4iZoI7SjhCIoTekjG1HMxjh4KNAzIeP5FU/sSAtVzSZO9GIWniZ61QJQ1wWAijYZco0xrT++Y0oRX7i3wTy2+IpcQqRCVmJWis2cjhXZzFOAxWYqfBVXxx/rtQlEKAYtuQRw6IKNZjSZ7Xh0dLiwfzzY5yco7COz0xVTxOJKb3TMWWwfGzq8/Oq//+3f5Hzf0vrk0XTCTn5F6D5Ly7f2X/iFX/jKV77y53/+59evX+du+T/+4z+Od7s3pgWJ5r1ICs5pbpO/Gik12tjQywSYsaMgUM6lkiPJUMRQuMRmQeimhNodDSaFiDy1LJgJa4A1dO3cVIkoGF7ipGmGKGCFLWrci6g3m5GiLRIG1tZZ0yo3N01oAU4XlG1I6W1tbJrzQZcXQndvjLu65x1+8NTiV1Ng5NgL85vKMHshqPBbXG42Yn/mAZuCQYWp2F5xYM0GMh6IrUeAwc229RN5ipZayaChyLGxBtbGZrw4QV6EDRi9wFcLEQQ5UiNzFKNg4mwfTX5cQ7MeCkwqojJAJKqnkPRXsQxTl920ILbGXsQkNSDQ1kOHxhvIbDyLc29v53I9zsGfhaTwMe0ok4ByIFsSeNszz925e+f+w3vHe5PLhby+Ji+20pLrYe/h4e4BjMsbPPdzlB/LPiPjC3G+hathu/MdmgGHf4budLYeb+3v5Xvbs3bj0ubaWrpVbntre2dnNyLTSSx++jK9xd4DKwwdpAvI9QhLk7s4Wa/LRSPkcZIgWrOJUPjoJVmcGrqIKZDMEEcp0o5eYrMGl0IjU9yUYCA0uX0R8FWt9IxhE2gWCcBiy0j0WPESbc0mk2sLIoeHjetdz1YEFWCEqEfAuU2Bk79KTA3kObDCKmSBj2zOp4hIk+HF0WBkCnrVEQ/GMAMiDGvcWPIF4HGWBhiD5g0hKh2aIpvBCLiwlx2O9g57e+OVk248ZSVcqNllVi4NhnvcCckzXCa/wz3hOcVri73B7PQVHs3fjH/qp37qj/7ojx4/fszWfe21137v935PHfOGpEkJESciyroDBUyO2t9UFwA1TSVCQjOIyGraxTBrEBTCPAgEcvIRKdmcOBpmZcQDoLDxgCFEUy3DAKaRpwALcy4hAGGEb2Oms9EkLxIuRht9gSSr6KgkGXaQtV60YBCEjEc9afCyLzIF/fxtYcI6N3HGmidFch7r+mjM+wpFrhqMBcmkobjUTjhSWWbOM1Zy12TgRii+AuqWLMPEE6NAWzBjhY2aYkc1owaTfBVOSA4H/losK3oFjTDTIsCJiVKzRZhkwGwv0lMTF6WEICprpGcaUAoeGPgdDOf5uFYInoFCwzJLJKoLF5oKSp5iRqgxaHCngBHMGOndJKLkyCMvOUpvrwgzCQJ6YZZW1obb23u7O2QQAXEbMtYyKVCEFTKbDM1CZ+Gtt966sb7x2uuvHueXG6afc3Nzx14a0v07w+XlAa8svL601L+6sHMwvLc/OV+l1U/jjxBxJDonsa5sXnVQthGnqdzkSfA3n75JR5I+3fM+m4cJk48TekxDPSyQMyAJFXaZCAMQm0JS41UPi5FY2WRiNgwBRxUpqTV0Uto9ImWCymwSJkTVHxGav7InBQyOK6RgBbMxspKewewLUlLTU+/FNL0UQ1ZHoAUDGwUZHgWSFRgaDj7uPlaKrRZAxgKGpmrpa2TUiDNqooyVEvnbZHoRw4kk1rIWbI6FYFMKeTYoVpUiumAGC6N1rZFYtd5CAICeGozAR6Ph4cLeyeCgm99PcZGusmMubwzYizmP1e8v9QYLxdJKoWePaXB+165d49YTjpIIH/nIR/7kT/7k5Zdf/rmf+znG7g//8A/lphSdvSYHDBpfUxlQCLgzYyjs9gWVkB4FN80QyQWLGsFqTmLVSsDyNYMFhysEkdBNbZvCWjQL8sIamyDJMGoaZaLa9dF0AAAgAElEQVQrgXOZ2WmFdJ08c4nMdARd1DQyoyxguEiTKScM8i2QbkZmpxdDW5YLc4P0zh0WzmM91eleHXceh1sLTRUFaDU/53NiFUxpkDaFpQPLgvi0d5jphZJEFrhmRiOG2oQeR9XKM67GmGCcM/MGiu7zewEhAIp/cO6OFAKcRFGGmGRVJo01nOiBxZzRSI+g8/ZaZvExw+A08qgvkFBiUGkKF8jRo/QI4GI56p1e5BSbGCRreQemgKkJM1cFTsbdnccP6Wq48wJv7ykpU/eijVDhVEOOy6WNS+96/t1//dornHmK1kw3vra8uLKU1rvXNlZWBv3Xt/d45ih3bqVD+NmdNPrmB2LNXiZ47w73ts/uqb9+4wbPLyXzB/fucyEyOiJzBis/YysNr+YemRBL4ajjOMs3pTr92BMscoKXVVsNAM2aBI18E9d0L0AjpQmjozauwIIZLKW9LCS6lnHDRYSABYsk9kKpIpjysdWBEIAVhLLiwubAJCuXhkCyX2i0tXKiiRBpHVRxYyBlK42CUtvXggAGF4QFzFEEw4oQgzbKkcSyBbmIh1r6wmpaDY6aYARTbQyC0ouaGimM4hopWHFVkaAsko47w73x1snSkNd0nt9nM2aBycXZw+7pwihfLEwzoPoMmn29dn8+9KEP/dIv/dLnP/95nuHOK3E+8IEPfO1rX7t16xbuFE0yFoN8ujgcvugpzBXz2GrBAx37H2Uha80cztqEe8FAE1ihdFYFQ9E0LObGOMwhjC7AKFHTKINRem1JOrpC08zErczeUiDhpIBHWURHH5VKtZE5EpokE6dpiSClAhkQBdEqhByZMBFQyKLiSDQfhteD8ZiTWE+dpPNY8wtU+jgE5pwbXTQsCq0aPKdqOGHDXUceNEzFyIi2JtchVd1XxDgg0sCGIwVBqxOFlpVAFAEkmM2jKk65c2SnCRL3yCO2WAODdv6q13gIwZuQ5RTfx3z9FJi+wevGNXKgKGczREEdQQNhpI0YyeoIGIqtMCOrNkzNiJQsR2feSCi28cLi3t62o9QCY2V3HfTcxxg3Oio60+Bdz/+dO6yD7r3BEyAEYAtdXVpcDPfGri4Pbo1Xbm/tdbr9k9OTOcd+Zsre/u7G+iWouLf90cP0gkUV3nV45Vp6GClvln74IL1LsSwssBbSkYEx8bC4IwjKufBCqRHWriSMkRI0e+VoQpqOIhNg4WkCY1TFHPVCqpa7MKrRmAFMlAFoG0WGWjZMvjHDyIYjSIoYMMlKCKVtU0alXRgTGIaCwhIKx3hyCysDCFjDCIY9pSAXZ9ELxVUds3UCIqEWRoJlmspQQtSjsRL9HEIhXRuJgGPhS1NId8QaCW4KZjbzR5itCFEGo4IXgn0RBDMY6/Dk4LC3f9I7XMhn8CcbNfqcJ3MPFi9Q52o+25DfovBUlOP948XVAf+ia19fN50Ewsc//vFXXnnl3r17n/rUpziP9YUvfIHJweufeQm0NycazwbyJmNnbyGGQWZwcbe1GIICHK242CvCUMa4NkXf+UqsmXu2ODC+TRA5tYQ2WMGs5nywOM+lZRjBOO3GkSFQMZVx0fjXOdR6c1pQ/uY0ibKlliB9TWi8eNSEfP4numiZZsA4+kSSWmZpxUPer4y7j/PvCmuANMpThJ7MbWAypAiGAIz60qVLnMdir9GZfxFyiFS2YKSpyTX5TeigaCgMmgRqTDT5vkUUBRUnNSQMhZtyoSmNOaMgkw7idVZGAosZziGUiyYDMJj52FDTbAg6PjDUfGuHme7M59QI4GiYhkK1mQ1zX8BbNgzBGZowWqFFTw2MgqwizMLiyvHumduV0MeDdoo4/ayVi93hpNcZf+YoL5jqm9dvLi8uvfbGa3yqolnsdZfO3rqBkgmxuTg4Go0Obu93eIETt8Yv8ornhs+Cnd2djbVLJHD3jbvU00Dd6zdvpK6dTp/nPjXEvywU3dRQq5ZSExuNeydBUTzsACjmCTkknVyE0cgIWcMglFJgw2qkTNR0kBp8gTGgFkDOARehFYIoUY9sWqhIW+unRlo5Ks8UeLqB8GKnEBW19hSsyNTsPhoN5OLoJ0I5koYJLSg3AEpbzcKqJiGwitBURloQA7V64SaAIg25uLNCmseC9I4bCZEjrUx1XDAUO0qYQygAl9oPxunu9fE697003L1eELY1eZTo4W56c+jqyurK8sqPved9n/3CZ7jhYnuXR2F1B8uT+y5wTwdHHQqdLprPfe5z7373u//iL/7i05/+NKC3ve1tV69eZcnleOqJBhdHBLsbEwUAmi5Syt0A8bgpQjcR2shrfcGMb0EeaSWbBKQmXI2xRmx1FAAoTWU8GilVW18ITCAAIi9MRTOGTtTVJBNeelvlJf4iSjF3cbev3cUJsm18zKlAHCwKX/fC5Bw15hAaj0BQDvRtoY180B3f4H6s087dbuuJMaLDQ1GvaTaOiTmxKrTTxsR5LL54cEjltA1UYFRLiL5EQemCSTJsFGRqlCmhXNRMtulRW7I5o4C7mooCQbRahgGZfVyhkduQmASGkCLZPI0CMPRsbkYjfnYaTCyZWCwi6yy9Mnf+BouKWr1WAm3ZKrSQkaGgBSZNwRPJ9QEmQqhAdnuLJ6Nxb3r395R/ckDnDcz8bAxakUyts78wYDJhnSTQS5c237m0/Nrr3+YxDUXOIoKDLbzU5yaejW5v9fbrr6fref1u/hEiD8Hkp4iT9RbPjz44PODHiHt7s0Xh2tr6+kb65cEO95OFe95nWUrqjfUgEjaTxiEOlGUyVJLUda+twaoBl8Z6QiFTakKbYmICSwOnpxb6CLMsWmWIMrobY0FJqglSTc8Tk4hHNfwMjpM3lQRc5EWtDJ2n9IoCmKaOjUKid4GcTSBCkgGmS/wAMLH/IsgqF7FRe3CQbTLSORORYr3AbppcMCMFqGvhgdmxIIwuNRteUqo2ibcCGhXxICPQFwAIeMnRUQRQLYBMwiPznvW9zuN0KZCX2sIg85utj/ZPWF2Rww+884X3/tCL73j2XWwFziL/H5/4/aP9Y3ZMp9dwD5aC8gX953/+53njGJ8i1L77Slb3RELq7nTj1TnLBDJizADeMgDL5kFJUTMKBaEAci9IiqaZa07zG4NGgUzCNmNnc9PIWlPwG2lB5DQRKNK38dhqgF3EIIBrrEYiCIxAMQZBzUKJvib3ZI3uZpAgHpDesQuwm0pPhxsrGwU4GXDw53Le4X6s085T486D6bXw2AvIoXIvFFqc85mF9BDBwFVCDnksF9g7dCoLcmJRBKNWgZmCrOjqoJDo1SxqrCzgdPqqCB2R5hQPWSlixERZVsgvOOb4AnbykaqQGQR+aOmzHXKMGEIzVmQIEk5kaCkRI1lKMCoFBqVgFuBEjh1HjlQOARI5Im0yXkHpCODD3iIvd44YM3e66Qig0HM4nTy0MU8nz8rmnc+/6/ad2ycHesZojMYBfNIRPm0vb17uHj6+s7N/cjw+4kfku/mE7mS91WPJde/43vHB0cKol477dBMmnpvVGZ+MTu/euTfL/EyE1OA2LJ2ApNdMOZCk7U/6CMekzEFKj4ZiGcFdRtZg2mpkrWFwKNJTF0g0BW3NYI0EakeXEGtjEFIHciGESrRGGQYnKRdZ0RcwaVTDOQkwHSg0xgsj2sipTNgKArDDsmmQhWHuUUwSZeFVAzYGIfLTBKO4oo1IyYW7AVEfZXgohkWh1hPavghRbnRkyh90dk5XTvqHK6udydsLIq03jdzNaeaDk92D/m73pLvAN2LWP5OvXTHaRWVepsD1QdCsgu8+uPP09Vvscs8/+w5emPO2tzz36u2/Pj059Q3v5aUNB+EZDRT2pcZpR980Ru6ke2KGKNRWOxoWNZbtKEE1VgTJdi8EMZinsBZNqEBqZ6hNaGIsprvOB6Bv4xeeIWrkdAjTIlhu45Se2pPJLtn7zO5ECEV3LGdifgsF0i7iNzkMbUi7mPPcT3GRw4kLtRnmCESXFxgHKvA8ejQ9H+t0cj9WwYy7NQgQ4i5OCCloJFDHKGqCVMFXuwa3ZOkJBU5DSQKzxoJITAuD2AyQgBJ+wNQSkBuR0REkoRl2hKivZXMiNOYZXQjtHil/1RGDrOiYxEldAITRjsNXc5A+ZSKkaS2g12e5+y4h1djy/1S0cOHp8kmXiwiLWk4gGaI2pNxJMvn2FzvTMwqi8hbVx4hjRU4hG2vGBKQHU/mAvHXz1v7WoHO0U3w6eQbJZW2p/2xvjbuyDj20PIsrrbdOjnY7R4/5ScTiQid1jeP/4rU+PxDn1bO7W7vVve1MJkaK+d1lDFcW18kKL3qtj2rGh5Wf0kOpTammZG9cHOWLu7uDrIJGSsF8QJByikp/M/AMWFYHKsBqMixi1vioiUkpQYdgZgTYVEe2KIvN7oBllSYiHQvlfNo2TrE5BE1xWhMFtgJFLhCyU/j3K0THFMHA3ATsVK0Uj2qUMKiDquXeCJYLMCELjJSRHI0xCJYjBhkYSUarZSbk4XifR32Ol084d7u4uNJZPtnf2l3vXlI4khebXdTEKsAsVt67uFw+4kcseSxZY6W3nDOJnnCxpVjw/+f/6U9/5/ZrT994y/LS0tUr13ju78c/+Qfo8y3vk8itZ7Bk93adJTqV3LepovkzL8WbfvUxEqEYETQgzdlotTvbw9PCykLwKJizABTNmCdyYXUTWs8GZIpNtRABkTPK8oJTgggbaaVU34tYkdCyOQVmHKQxeRyZKBfkNM2JUNAW4Jg/spoFpmiK00jHKmA0ZRJyTsI8qfr6mGc3dHTPO14U0qZmj+WEE4LIofKYIFOgpUimjjkkljBFMemjiPO7XDTUxzYA9OaM7pLFSQia1JlyNu2Nj6Elz+GMXnRQOeAlR1ujIBOcFCUjq3wjUjIwTG0jA4Zv2FyH4gSVkGiK6JF5mN9AwobgKRFaZqWBZtRxyvHSn8k2GqWtHo+/PKBmcptdWiHwH+WEH2EdHfM4WG2F1POz2875oNcxjTxzqDNnR6RRzcMjz57AmiaHebpKMz4HTJ/oFOQ4pMYgOKs4Siin8zFiGY/JhwevRexwnzvzjRO0q4v3dofD2fhMXHhLtJ0P9rlamF5uONp5g7f09Eb9fForLae0qMrILr9ZvHLlOjeR0FRiSptaZ7DoC9tIa1wGTePmKPKSI0hGXn03W4FkZgrskacpTYG0UqMErQAeNAVyOBJD1uRUHQmjDKwxOnpgqoU3EkGcOVlNz0iZZIORC5iaYjZMTSMRcGR8ElcuxtMyWCbA2jpqMuz6ugKMPCmRB4yiUEdORVQtjGvRAhbeGPTSCFA3C07DJGS+yXaUxswWzAn46JRnXewPF/c7fQ6SzFu+a6VvZUm6PNp+9HhtvKEp56zgMZWFGWd1w9VksZWzeaLFluYjd1zxjeQf/4Nf5uyydqLPfv4zW9yDlY9J6iP17Ds06fpih81zBHfMmNgrKZnNbHIDCiEySPbsj8iaFs5aGV0ki9NRLNTIyIYcm41gASJhlO2CUj2KhIm9OvrjUg9U5LRsTkdBiITmQYjjH2X7ihZ3tn4kMUCCTXDi4hAFLDZxiVvT+UeMZeWGi4r1tSBOYJg0FNSxyGWn09kcjZ/pdu+lb+uzb5lkzgWRglbujZ3CJLAEaj5vCiRPItVt79E0h7OITl9wLDqOexw9rAqK0nLB4yYAZJCQ4EVNU7UxFgCz6WnquFx0zTAJIgGjECkMJ1H4P5cjfo7Ahyivdsm/sOOGIXDExjxBAJuMZzoK8SRkrN3eoMM/5Uja0wEX5wVrvtFznoZX9mgRQJ5OtY1BPQWm7qtHEUwis7SzYYZp2QUM8Lbz+EOglM6GSHmmMhmiNAqzMg0P7fHBLjOA630MMI98v3r15v1H97mtxGB+0yg5bR02yfHpEVcxhodLi4PJz88Dd7+3ePnStfW1DeeJr5M3JxrfM8dHg05roWSQCzBNz4pphxKNBtmEEqwEqVmaB2C2OwODUEoECi40qSnSFJxuAlMRCWAENK6NVN9lEi21rVEQxmNVJ6AoCmEYXiK0teAHQJGXMYqrppVwmhaA9ZK1jeTIZPaHOOG8qLWXfQndyKmUxEZdNMVjEsMkABZeNbBGpDGGmZbffBzmt9OMF8886pNUWdBMo3T6V8Z7j7ZXRxs8ws0hYFOPEKyUwFDwFIY5pVhspfUWR6LZnVRnXLH2B9yfufCp//PPVpdX/8Ev/FeYWfV+4lP/Kh0yFsa96Usa0E/OYJETu01cGp+hrBruQGHRkEmp3sataHCjezH/DC4ECHFXoBiugIEBKU6FawwqL3iwChA5o2x+lOqU8NI3Ju8E7IsQOS2LMMKQ2/gbaaOvaZ2qrHUUh0Bo7EKklQwnxfooW2nBqc4nx8qhQZhM31CZExvZxoKjm4YddrhQ2NnsTM5jSS8YWTltCdRxeWQS8NFRMu7ioUlofDmDxU1I7EG6ccou9cpJplhDxXFQaWgEWALCIzkikYVUAjbJ100L7hQhPETMv7xwSB2b9S4vyNIoJlv+mphY0lb2npZpoeRFXGlBNpnI7AtZpOJJeyzWuPsbWaOmY1qeK7MJg/W7XsiK5w3MuoOUN5w2tPWNcTXOILGC9LBLCDM92cUAmJJiTA9E6NPInC1omADoNPhmPotKLT4JS+fkNQmXHYc0WWAdn4z6g+WbN5++du2pV779rd39yV3tzGjRcqEvb7fUir8QlJW74jc3rm6sT56b5S6QalxoohdeNU0+GigIdJyP8DTgWVl3Cj0FRzAU8NRqIkugBoNeSJEgswchSwmmsYhTJpACKwRKC8gxnGgFrmnxUpGp6FT0AqaBEjKFz51VXThOWVP3BYihk+d0nEF6oBrBYgYf8xTSJDQZQIqiQMj0Ex4MepGgEcC1aGMzclovQalKFqwNrPG3OzAXKy2cnB4ddPeOedRnfjtNkSKnr4xMAgehK529x7sb40tsDmhlrcffXjpQuTlHYLHFP62109VDX0kMOa1srBzupF+A/qtP/cu/+vZf/tB/9J6Xv/bFb3zr69AOlga4mD99dQZXZGZzm+BRdt9qJJxzrBHPlgAMZ1QWsq3mRLBcgNWMCdgdU5SFdAKRMNOfOdAAZnPyIdc4XKa1UMwwxYohIk+UhSxq0yI0MhvvEAimxcuykVGA046OFQGWNQhqPhGnaAnkLkhDXATOdYuNpgpNCrJDS4ABfaFUU4TICPcX0hrrOg/K0kd9PszBFnuqQMKjZ+M20kalGNAgKBw1t72zMKLwRV9grFoPYT2XFjBeDCz9Aqx7WtGIX4Sx1mFFg4Cv3AVA5pMQ18SYp0pusWxK5zLyf+xomVjsU1HrphjlieSl5eW93V0tsM46ztuvzyLffItv7txfwVtFCgqGiP5RGJa2OYOLNhAw5gDNNJ55izBQJvQsBIaSTSCTfOeQp/C5QJuYzxYsnenVwGiZ4U6G4+4xB530aJzTzsp6evkjeb7juXfevXfnzv07acOmD4Le0dHx0REPzUrpUfm0Fp1gacVZq0sbl9XBGAiZrOgFtfKUtbFHKJnkmT9dQIQNF/KSr5qRHD1FVIRAkBwxUU4dmZ6Nk6+s6BFUGy8kSodoIwejgm+kFZU0ABRCy2KZTAgGTco+HHnMiSCAvFTHQAA8YbC2gdGb07AIjpwAAMfhUlyUErzYokn0eHLL6y0hY4jIibWIKA218nQsI2s8JorwklWDZDDzXVb74+XjtrfTkDknsKJjkrudwZXx7uOtleP1QT99qXMm7osFJl6X55vM9qiSrK09WWzxk8HkO06vt+L0VI+nuAxgy8/B6nztL7/69W9+TQz8fnBx7exzsMg+hc/FYS5fvry5yZf/WWF7fOc733FbQ+NmLcAHxn2uAdZEpEfEVgsyMZkKjELUgdpocS8YFCLuNg6KYGYJ7HsMl+e0kJEw08+2ZBttEQLygjMCkIsQF6HFC1oKvqrnhxBGcefzKxmnlGJMCyEkKmfJIAWWQM0Y6qCscKoByysqoyyAag4WkESrZcVSF3hpCA9u4KeFfgZpW9fwwsTuQK0QJqwFY+SlgSUlOlXc9q5kACBIjr0omAGQAABhsLZlqwSAZdbZfMOFD7HF9XXWpQX530Jzclz/W4hUheDT42hvyOSrLLN9R5OTodOGAKlx9mjbFyQH9XJ6eUT5KVIuYsCdEmnN4xDSsHElADYmJ2Nqq0k7Y7oLi70xv1riKQpDrvotLK5fSs8OVblx/SYve7738A6LJ16YA9W3X391ayf9JlGdReDQsr62efnSVZ3PmHi2TK04nWDI7pO9UjNTSpMg0Be6r9uumf/6iWgEFLIZYiwwkLiWS0xAwxvHLdKmDTB1L2gFk1IYaBHQqEYwBoEQjgKA4kBGRo2VIL19AVhvsGjRZ9YZrcMJCYBiL8BxxKLesgTTiiGSACAK5yCFhJDJIFpgHEgpxluAELyGS46YYpEy1kW2gG2Vo5u8uW+4sD9ML1TmkXLhe4wRU6E8fTXV87d/ubP/eHfpaGVpkH4AiyYmYOBkZGa52HK+kA6kHJa5MM86Lv1bOjo4Hh2cMuH50nJ8eMxvBgm9wONUeNkHvzM51ZadBEvLBWWmWgF/5Ed+5NVXX9X2gIjHuPMcrLjAmmR8Nj2U7iQCTeyR9ix80rKXrXJ004L0nhbWIxRzFA2wWhldxEYtQbQRgByTFxtgDiIFrK2ZuSf8bRhFIZDKHJhNSlhNyVFjmAT2eTKHXDVCAXCTESisKfVpwSoRPDCD5UKtwuAUw46XXByoFoShhrZwj2BCiAoB2HywHXkV9M1TXgvdeZh7gC+OthYCVkbMO0VhjU2QRcI0WWNx5OK2d27MUqfsooOvtgJK3Cm2WhAA30aAOS2Y1gx81PPtSgxW/u0Iy1wq3d9fWU33TU+LDjfT1vfsb5qQZzerhsgDpciMKiOmwdFMQyOhSE2PAI1Kby/maa3XhkBfbziHcCCydQ4Jf5ouEcaRQsdGpNpYXx3zmOjRyZCrg6ed9Y2N1bW12Kkrl69wm63yQf/2Z5+/9+DeG/du59NX3dWVjSub17T6ibmB9F5ALDWVVSS3C0qSZ7+Id/woqGrpYWAXEAMfH+AjBr1MUjpcGoDpqtdDFB2RIzgNztmCRkqFaNsWwsSsoI1MAliTSKexYC7Ahlko8NJHZa0paA3WQKk2f0zAI2ZrIeBrd9MKgy/bS1ZqhsunzAGw4UTeuC0SaS4gC9pCAypuNVnhPDzdP+ofjJaG3K4U5zyAunDerdjdCszgcme4ddAZdlaWJpcODCA9ckhJTnYuopUzx+BCSF7cJNrjqaHppJWsWupx+ur48ITLBP1Bf2FtMb2OMB1VuJSYT5JNIqRYXERItwiQRMHOFGQ5pX3mZ3/2Z3lbzp/92Z9FDIyxKVlKxrRxw4BRIPVZNWC86gQA1yGAtTErAfMgUOJ0FEC1mREocxKOXpZhRlZtZS3ALOX8nGtHNPNDxH4pyvwQWIHBKbDJEaASm5ROxskjUGAoVk7CY7JLoyAYIc5FpjD5RgH29ngEbKSVErzAilJ0ITqyxuJHhfnZDSnKucOlMQFpkjkhyMEdxAUkD25gjcUxi8WWGQiKCeSc6ADY6fg4FBJfgWnGZGIXBFACwiTNaMQP9KKL0/ieCql3rAJmpTywzCzfA6nLgTDdnTo7WUgQBqEYBw8pSAEac8GryN6zAUf5yhEknKJFg0nby5qaXyZv5UmgEI+pR7jBYHFxgddwcJKhww8Dl1bWN68+BVsbs3r61NWnlpd4eOH2tatPLS6mb/YEomiiItT5oAHGPj5/18PXHW/MARJ9LQfJ5NfCTkpqlzoBDZr0wGqAw4E0WIQFGKW/A5MGxbQ1s2nBmBYZpB0L/qLZmIMYhIQHZskRLP4iipAoQZJbTK+IG2kVDpeIUSzxq2toxCykakXRVsMdABvOq2TmA4MppMiR3XQOiqI06hzkMhqfHHb3jvr73eX8rLaIa5FzMmeuuDUCB5udo+3DzmFaYymWYdNUz4yMrQ0Cv9rhQM1hZLDQH6Qd2RjWWW7yrHbWWHuPD8bp9NSEnBctLK1ypottPQs38zERAqsrPiSIxFhzxP/N3/zN97///RFgWSEdWAKb01GNRJDSNbD5+7N9oRUntZWF4IgI4C/IbBJlrtrKWjBgztS3F5lQ3ERoiyK9wRLmhGgziYdR4mCKrAIYQgaEX9HHEMiY4v6DYxtz7AUyvoQwW2GNTTCEBnzBLUICMQ11IRJGGXKmqJjnZ84zSDmPxTLr9tktAhshYq1OqXexg8iNIZQwVopz45Ys3tCHyScP1BEwHLzQC4wyeiGzObiLSz3CqqFojOtYCMpB4FSPTpruhYoe3yt5sDjgxzL/XqKzpjw83F/MZ1A0sHHc0MQ+M9QMMkrtKTRVjDmDlna2eVuXOAAVVNuOJrTUik6tpvhkZWMxsQjH93l22l56Og/7b/fK9ZU+v5LiYJ9T+db9x53VS4v57UlsYvlGcpT0RSb29KeupaWYIlLTWUrc2Z2DBXzlXgyFAQiYYKOw39FEoL/ulBzVJJwcyYo5L18+yA2WVbW3FITgpWxEYnJEZVswqGkGkwCG3GDJ1kQvZI8DsnMrMGrC4DSI5XC2xhBCSgMS5jnk85lzqMmMFJIapWqloZpMvC2UVUwDjWGSvdiiCVLf92SCpzFhlApNdJAqaCiYuMvqqLd/utR6l9XUo/zLSi8SlubQ7l8aH3VZ8pysLU3O78pROQQS0gu7cWCgB5j4jsYJKmZKsEhkwoel3rjDAuv46JgfUff6vY21jZXl1XsP7x5sH65cWo6vfC5/Hy6yX/3VX33Pe96DzDtzPvaxj1XB0n7F0JM9JvUBAaXl2qXQqM/a0oWpaDpK46YtwDTDaE7kqGnEuy/zQ7DnNx6hxF9EoVloCK2+1FGElLXOUBqSdJEGfO2IEn7yVBQBdFzj+eBt5LhIf+0AACAASURBVCYkhGnPBQOo+9LoBQzmCCYx5Vbj0TPUGg11p8ZYo2wjs00IOUiqgHEeK93zPho/rpbpdRQljJ4SCWsZAGAljKxYwLhKyE8L+X7Cp528ElcGMxRoGnMG4BDIHNEAwwk4dSMcvwRDYxcEfTgdpicDmeZvVWAFsD+51f27kMGka/qTah1w0o7kXknJXRzYTxf6RxiykW+h3NqdRM4LHhyuL6U7suU1oc0NRphmHtpU+aMIsqIDCpT4IMobRWD55jjJI5LTFJLNx7qTnwt2T0e8HXBhTD1G6HVOFzrjy+traRvP3WbPXt183FuLl3LAEwt+yCnI3uuJWxSloRBFhkZCggyGWSRykAWYpmD2EnMGlmBhGCUPlD6tISdVKc1jwVQwSymNARZiJo1gAlGMt+AOatysrwXcG5mNJDdkRdFQ2CTytuRTZrmAb8REJUDlLPLYcbnHwTQtAtYCXGjAuIOikheySlxvkYNPbkFbLJdjwvhO77Laa/xh4JS+9S9ZEa3VXBn6G+OTzohLB+vL6VHvJFOMQ+WRFCnn6lJgjeTrRByW4f7R6Hh09crVH/mB925tbT337NsfPn7wo3/3vZ/8N5843BuuXpoc8OFJd7pRasb5mpRVuE9TYDJQrxp9oxUYQWFAaAQXSoGtVFdjh21CEFidEn+dqvHA4tS0XgIhYhSdLBFzgSRQEUWOF+kghExcijnxqt0VQnMalyKcfQsBL4HhT51pOtxEF8AMyAXJY84maYtSgNUdexUCaQCgFHo3YxTANBvBKGNfuOd9tTN+6uTU97ybsBZwhJa0zdwYRVY+MEgDkjid+DhBX9z2DsbMBqs7qh3R4RA4rl1ku0w62z5udTe/+5q0LfjIgdgjJ4E6bdBUnckwNYDnWn+VFP2eZJck/Y+CrT1RV38Gs2uytrEwWhj0eZHF0uLZH3sbkRNVbnPn0sSBDaTMdNjFkU2T+kZJN8CdspBKSyi+VLCWYgnFwrcz5mdM6kRKnv8nfZhJIZ0GkSfvrJzsHxwscrQozMoZJfELk5veCwBrT8zpNuDRM2nlqClNZ3FvIzczMI8eYA2RE5DgT2ty0MldkHwJaSRvZLZShEQpAnk0AJy7y+CrPgImhzoNKXOQSe8Ul9qZgLFsq1yUG3UNELPwADzUaOo0FM565yyw9WKLzGhqsHITuKgBm63gARl7AYlPbmFizmja8IgD7rLiBvY5PwwsgjY20w1P2kcaJmmjR6e/kW5m3N3b21hK7ycg24OT/aOFfY7ii2Pv+5Cm70pY+Qq20Ocd6pwnayaUFiquD0bE8ZDf6nY++IEPb+9sr66v8sCU9734/m/f/mv26tEJp6RPORN2cnzCj1Oa34QTud7xjndwvePKlStRSUhtNm0MmhSPvrdQdJFSNb6AaxgkuKi2r5pxlmDC1+GMtDDHJAycjbRmkEAUFes1h9ycI8BPzqoNU1Ca0EpGIFvKuccCk9QCVGKrTWg02j5LT8RGmJVtAIUoAvEZQ/L2lQBDTQJMmRTguqkQWs7aihJO1UUUmLUoqYPa3cLeQnfjdHzttMuzG2Cj2NQoiLPuo8GYRCKBTNiUttILdh+eRMo1d8GonScbBS81qTW7ort5UMI8fwBhVuFoBxuyA5nnTQgTkvxnKudDFFzTpRFTinFUTad2t7dWVtewa4fGph077Q+I+XkRusXpnNFP6U6m63nTNkHbCuMGiyZJvSknoxZmAviUqcokvjqbVHwBOeZRBRzM04moUxbgizyHa3TCWoq1D5cXknPuaO62WKZsar2peq3fPdzb7mycORTD5B6RNgWNNtOsC0GDiblEDVIAz8A6KTOD1OjFcCgptRcawEKaoYCh12KLNDgtJysrrRrvKOoUOxRglDQFrl0cy31E0wiDhCI8YKVNM+plRRMZnJWsdR0ZAENeY2qNQoC3KQZtVMY+FkEjj3wNhjaCzRyFIu0iE9z9wA6QDF1/sX/Y2dsaPeCUlaZ/ZHsimU3Bxpi4aDC8G84l6q1x03n30c6jwXJ32NvvLJ9yIyOX2ve3d7ktnevtbMX0jYsX7zRfCmxgj3dfYeY2U056MQXTAHbGt+9+h2PtS//2c8++9Zk0cU7HhweHPMGd4UpX+H/yJ39SB/QHDx4wv0X/4osv6jENKL/5zW/qQ3Rnh+djT8qNGzfixmOzFaM/Baa/QkY8csqtKlIWpvnkkQNawIV7BEh2FPCUOZkXvlzr4SobIVTwNSDKVjKwFMIpovWNApx1Jim/EMWOBXh+CMCcOCV5BDMUQgxUkEdkHYj9ij5GzBy5ToC4Ghx1U7LrJyKP4Ngd5eNA6sLN9DnYuaN9ZE7G2SS2eutgxISe0Ag0IUeIA6i+gGETcHMVyCKaxkTk3LYFRlQFDCUFMHVjJuqXwg2Pj3lSA5ey1FRieU2UUIk5fYWTQJ0zTz8vzo/OSm00yUos1QKlDKYagRJVdtefzJhUezs7axsbSZqVqbH8O0O0SBOHpgNGi8dZNf7p5qP9/Y21VXfBY5hGJJfohGLv4esLoyO2a14wcaRk2MesDDlap1f8sNZlKDQc0fN7LPOT8IfdlcFqutGkMbj6okmF7G7OyQse8HKkNjJHmEwAlJgU0eQ6uBnfKAgs90gewQ7EGRFnEi8/Kbfogqy0xXxuNxVCdSObeJwhaQBW84LkSk/kCiRNXZu5LZPo4gFEWWdSBCrANT4yF77ngj0myt9jxTTglNUhbwxcTHdZfVfK4tJK7MsZztkMPaN2gzPIu9s7g+X0YcfUXpr+unDv8R4vPxgssV5q/Rw0iQU6awYpWWDtPTqAerE/eN+PfuDHfvQ/Js7n/u1nP/Vv/jU/L+LfgMM8N7v3Fga9xXQPVj2yn//85x2gEJ5//vl79+6hJLBMGojW4ch7JkhHiR+EBXndhJYMFcsRa5g0mq8O1AazHsIIJpZKDCRZOfDV3CE4Yks2WyFAFckLq2hjIPAFhiYh2kja9AWJQjDm6lphdbMIdEFy3EGqpwRSLHNGARMh0AC++FlAkxdURSCRw88G8mqPJiU6Wob2zkLn6fwM0jnXCqGlyAtBZ5tMgmD+YrjIQVsz6jmDxfoJEkokUR/1HQa912oRo0DUGjowyJE8gpH5cBidjHgui0aDoecJnLzKhs6Q2OQzM/Rt4p4XVkk+O2xnWxPsDBTMMKvFnVi8u4afsBn9Nxemo53+ZrlRkJKxyV/Q01+udzNYI454PMDVaXgMOXU8vaiXr+il81Lp1qi1pUGvy6NutIyaTAO7//sS+gvd9dHhUSedHfRUr5OxiW5iZVAYiBqmKeBak5Ym+FgKx8mkysuyOeTyUlw4IadAix6loqgWCSbfJEra2k1Qtl1AxORuwqxw4odWTeoYCKtCC6CmkVGIwwW584x6lJTohSwwgsiVT4FxE/eYeSM4JsxRAhfBqFViSlGO5ESMJiUgdyejzCO/TQiAPdo0gVEQto8eDxd3F1bSDwPLsYj+TyKnFdB0gzb4KUw47BQYNrIv6OnBCgIsrS51j8fxDvTCsbGZ7213z1LUNFDpTNh4bXXjQ3//w7/9O//8ZHT84z/6gX/4S//oy1/90ktf+sziMj9BnLicubLYGCAqmfSc2Xr99dc1uDIx9PXGi15RJjlvJ5NYiEjJxhezoUaigQdYYUIJCQWBIqsEauPFT25aOQGzSS4w0E2f5CuiFLQ0IcelEYZS5MW4Fc02X+ndhfkw9Us9vSA/LnFk2gIJQ61uKpD6NSclctBINmJgo0QTYDSRdk4gyDk0e4JFnkKG826/e+u0c4PnvPMS3aooomLJCG0bObAibTJBIzwCBRJue+cjhPPqvFonBsQdcg3jRbYRYAjrZHKcFIiHcR2NuM89rScgX19d4cHBd+7fL1ZOyiHsMFMRjqkI5mxLTufUPF6Ap7qfXWBpIyZejk388dhWQlIwDgmWhHRHYGpPlkpJyvakFDJxZW2GpZvTk2faKNMFX7//1ltvPT0+CveYp+UUh8F0m1S+qJc/IdLly1zgeLJj4zkj8t0zr/Y6B9sPFi5dYwLAqn630WPVrODQzYAAUy18GqM8coW7djocsRYmNzFpRwMmPCbh0RgmQVEiXnppCjBN9DJB5Rt9ODJTsKKkFF5oiKKdCBOySgGTyUplDhINY2W9BQUSAFnDiACY0hZC7h6WNvLoDqeufqIUv3MQjJqIVoJxiTwGRCVIj4wBtSB+HMUsQOSxi5TUvJKZ5y+cHuffvrIjlZvFHhcVCN0f+H6pdi8HqmbokKtM+RwVXdY+Iha+8nnd0857xsKwsdoLqhyVh8gvDY4OjrZ3Hv+LP/xf3//if3JweMA7FHhTaG+RM93pwqBdZje5s3UZLxvahK985SuYjKQPcatjYoBcFyQyaUubAcFygQepParQqwkbAIojIouKWkqQyGRIQaBIIwbw6CXPr2Fj1yIZXOYgxS/Oi5MXhO5OoY9NYQh3wfw5WpF/ZJDcFot5qRETLA1cLjUDGpDwYG+0SqlAyAiMjPC11yRMoIJcycwhjybjFVF1BEhW6Ne7nRsj7seaPee9RkYNw1iMDDyi0sRAjnhkhh0vjx5Nrn1w2zs3ZhVIza450yaHmvArkI/IUGn8XTMO4kcgIjciFOHeXFP8OVx6nGk6l8SOldvqY6pzMhzmspzVJJGXR5wuynOWM0p5TLRmyjtowmknpc4/mU48014QoRjbopm6w73kHJ05/PF4wIXeEm+06C9wQSDV/V5/vLeQ7kzNfozibEOdaSSe/9eXzd74wd7OYDX9WooJqaHQFi+GJY9+qrxe0UTNg9166BMV5LDBDxgZJU2K9NSxpBhhfQOYZgRYRh+TgTB55mIMQg6VYjF7FZTZrsUW7o13a0V3ZB1npHSPCow6JTD7Jlkgx2SQo68yB6P02pJXlOjoZBRCgFijh1zWSA6m0QWl9eDFL6X0KPFVHQNJRi+YXApAVIrcgGhCmYJwFOAl7/xjzJmMHN0nU9JOTyDwNtO2nJtZUi9zydMt3Vqe73ZAFU9fpUcqpPswjZ44zf9z9vTVDLu4usjDf7lK8O++9TXeRUjC/CaWkaH7l29e4oeEC0vp2x1ldpM7x3em8oxjrqRBZ6Myh6gjljA0i80ggPAR3CgDo8Tt6hGHVrL4iU6RjL4xaGMIlITAF8HkFmoXxVWs2npxjUI0BiIf86gj1NbUAvg5gCIQyLiAxipf1zWVBqeOW2vw5Shc6B3CesdipmmZYtN8geMOeB3ain6pWbsb39iLqORa4Vs4j9W0xoqxYiCNJN1xjxAiZ8xHyQspPcdxth23vXMey7QIPNNBN2ABqNlSsFwg4a9DQIWvBsfKRDv9hOOJHcesOcLP6/K6KGETHzXI3EgrpaRJahcySXI6W+QzSejUzoukdAkuNdM/IXMTDBs6j1VaiqWig1u6PXRymLOQzWUFiM+NUsueyz/e9rrAKorXyHS1kFpOt0Zx0wPXwmFNB/na8T8YDX3fOBkejlf5NEpDno9jOoC42dhZrN6PGCowBV5bJNZg1GRTIuBeuMRAnocko3zSVAnTNYIVXfxKRhrwcrEgr0jOPkIyAJhj1gvmWsNCEyT8wtPEC1mCwGgAmwcryaOMGCFdYxUADWATopSs2ngE4ak1MggqESM56pVMrZcmxsKLpgrWCXv+I3BjDV752KWAORkxu7PAGDSf8pXX6Wjc4d8xey4nfzqczXmiHZFczjxuqkhlfjPv8UfDyWmqfJ1x8qlEFzh9xYNC5xMUVnp69vTVzE6nVjeXh3tHJ0NWdHnVlE689ZbW+Ga3sLq5sr99sLCYLpumfYYycw0SVzSuX79+9+5dPTIxWCZzhckdlfNl7ULaSx1Uoem/c9Dm1G7Jgs9bdz45VhgAG2ZCCzZJiLNKGu+QBdLNyG+lBEexYP6IFENbp85NIMaK/AStc3MUBI3nBfmJAhJ+anfHQuyOZY5NwtdpGBMF80elQjiQBTDIHFJ1BIz9iu5RJhlc5vcXAAWvN9Iaq/tUd/wo354kHnXEsSKVOgvMSgR/QsQ0JIOX1YNDkx2B2945j4XsWOQDlfAozV9zWiOMSCSrU/QffxHyDuDX33hj6/EWzJk2LJWmn5f4clqJin17umBC4P6kFCrpsqAjBSLMPmoE0Xml1dTkX3oX8Ux/Rg7qWuQBUWkVxbJpoZvWT6rTeal8j0bKgFL7fV9oVvvdg93HJ+tXPARsXHpO05Otbf6kYZseMdhTjGduxNI4jjjigglkGz9Wm8wvl8jpWICVPFbtuUoPQMRbBu/fr3FY4LQWJj6MKDgiqzYewdlioojZSUakwB5MdVbKmA8kKFXbXWDxO6KtFtxZkOovYBVjLEgP0mBMyOiV/8SzaayyU6pwmc+vcCCVT4xuWSRx0OAUecRITscOTl8cj9J3HS22wtG1xktzoYuDbc5EG85OU8WF2vHwKF62ayc4Y4knwM4YcoOOL68vjVcXOWoy9lyU9JdBxnv10goPHT0djCfXF0FTzMKU/Ymf+Ak+AD760Y/+7u/+Lq5f/OIXufXKAMAMrprI4ta2EU9kEww828Y1AsWEhYA7JW5LA9A3yrP+Tc3iz3GaAzXyT70nfx0OoQ5hsPsSOaNs5BwhxjIMJeSqrVSnLs6vTWN3CY3hjHFn1TVFtLVRELLRpFgxYp2SQjhcwQP+IjnICyR4r10cN1rNhvBap3Nr1Lk2uui1QkYefgoC5AjUFPhVx+QVKNvPnGpidVXc9g5SjhyCM/3kJGtki1FiLPD0V8du6vS9fv+AzNIZrNHoi//3/8Ub7TK9QpAqz0nQPRM57Zx6DBTldIyc7XaTlVMENMppfEan+d0RjfZ5yvV+5wdv8jyCFDd2c57P95ntcm98/2BPFwrddaYQW54RY/BZfGhGeV4BQ3ah6WOIXKhlNWEhYNUcAxlXZjRBqrYLYGTwCJhIiSaygxppwabIbyUwB5IAOQU9yfBDaZQ0+WYeXUyOoJTEQz7g0ahEmGVMCqTOSj/1mOeI17n8MS54QigfomByDmqiiZ0CqVKD7Vjwx3yEgcFgC44SrVYahpCSnPzyOKrPyOmrGd/YuDpP6U2uIZ5BTBscwPgtzpluT00X+UsyPk2VrjNO1ztE5yTTk5++4mdh5WWZIg1e83w0edlzWmAtciPCIi6pB4wrjxs92jmd3HcVtwTmD37wg5/+9Ke5ZvGNb3yDmvIzP/MzPLJB3xsAsOsyG9L45lGWO9tAgvSYXNi0jVvIAAneopCDx6sA0Izk5gTJ15ca3KYBD4/COWgjWOHAs986XCNyvtJRLBR4QsCvcNQSCkxszgc4ShQI0cjQ2C/xz49iNqKA5KwMVI5oK0Jkk8x4spV1cIzINhlm4cXvKBbsKH7w2spq2oqApu7y7ZZrhY3hYEBPiV1ASYmBCrnAY+UqIbe9Mwh+FBAY9K75qkOqkTYHmVQFP03tOPxgkF/yA0qDtrCwv7d3csR3OC2SfEhFsFwztWou7sP4s1fyML9WrnbDjdUBv8XpLAyOjp9gv27n+w/Qwva8dHK4f7pSfO/XbGHTU5CZS9rx1WwbCJDaGc/g89qIlbs+rjwtTWJ+BMqc3dlWSJilMKAhJVNFQYEAIFD4uJFVXUBPKXwdms6C177PSsv6yI8sEgT4AVMLgN5IyULGcMLjYhK7WIgmhYj8DielqBQCR5oqIqE2rYWaH5cajxIX16Ii/8gTu2Y9guPiXrgEEyeao1OrnHI76fCUKo46nE/S3VoRrftEtRkuRhm90+mr6YrozGtthodD5u8Z6AUa809fQXB8eHy4lx9rRa7ckTE85XIh7yjktFamT91c3hj0ObIzvvRd2wAbvxPk3BXH/d/6rd96+umn0fzGb/zGyy+//MILL3zhC1/Izh3uMTRemjm1DvrexnOQ2mwg2SskzwG3mZyYhRrJdFGvMRHo3Fh0Yc4CrrFrcUYqAUVpm81g5phiFxyuCIE+diSGw8SQUl8whIZFG06hHTRmIpg0hFO5eAiQ2hCRMwaSHK0cOnXEJFaMHjGWQdIF4a1EgBb3OtCdXvcm74TujP27QkexEHlEpS7UqRZImpDQZXdBLpzHYm9ij4sPKgNJwUVdQL7gqIInH74I8qb3IWuTk2M+ag4PD0J6T3yscUfenCfJh+gmmydwPFzudTkEra2nF65yeJqH/j62rfQXDva24oXCejAYf+0CTAxKPZfQaGry3FR+ZcmlZQ6OvfGox9NT05Oxx49PB4uXrwFTqUNIw1aGnxrYnOmKlXyAUXTHSEFLE0IpxaP8UYofxzn8mHwBEX6+oiiiSXB3FxRLbMiYCOHoshpswdGFFyHKiEcpvWqZsi5VNCnmMbMEWSUDVko0oz66oJdVYPBokJWSvISJXpLlQm2SGikG4+UybZJWzTpXw13ovH5TKy3mS1q9d3uDcI0trVgm5YLc6TTV8ZFOU/EiVDKUP2fQOZv/pKev8v1bszXoNJfZX96Tk1ZX487T129du5zfvz4+/YtX/h0vKORcP698dg/6rPH16AEP69WrV3/5l3/5W9/6Fjdg3bp1C1Y+En7lV37lE5/4xCzCVHJPLEwtk7+Fvm1KRS/mRxvMbBZw1HzyLEQzZ644UFsIAxAcRZ/TMUSEIWsKegxlvUiIgkcRHbewuulwRUQDCkH4Ov8Yrg6KRmPrcAVt0aS/uMxJySEQJMMvASo7zgmnEBcfWJA6rwZ/DITeoxHDcRX8raedi/+uEF+omB4aCoWgllCMj/rIgZ7QePmIjzsaPhX0eVN4Cd+2UgSsWDEiRyVuoj/g1ZN0f3X1aHjIbu99vuA/t+mD3bnIGkCP+GZCXZvmaFZ63B3bOToZLR4NB4NlVopzwN8NEwP2N+nldyOFN8txuT9+NDzorW0wo7wHNZIBSPr0WAo+e0fj4yMeUdE9PeE1PlzK5UQEayn+hZJ/zMlp0ZNhp3NNk7aRWUo5IkOvPUKaOD/R0KSWC3NbGpTSy6UtyqQL+Ziv/Re8lQqtGjYETPp0A8xKS11AE11iLNi8VwKmiAR9hEVZJsLRZXWBGn70KhEcZWDwU6MUPlotR5Kc0eyDH5NhCDTVL3cBchXBCryV1gusXqMs9G4qFs0U7gJ3VilQQ81KK98UzyMlV7oDVlqTlPiTxNQ7qWaSEFV9dDjUXVZ0gVs0bUf/pk5fNfzi3pwI3N6uZeVP/PiHeAEXW/LBo/sMyNe/+VXWWDwHKx9vAXYb3nNy//793//93+crNcOnTYXnH/zBH6B3DLrhzSClNq0BFoC1mYyRACeCaFUXADW1mQvOotnoaCWBIFE4lBYMiILCUXvWRmubrBCFVYHawrnLxFIp3IsmGFyoC72bDqRk9CluK4J954TD60nHVh1xdEeM4czJqBLi4mMLCcwUCSKXxoEkOByxSKk4AekECi+a31noPHPe7wqJGB3Jny8hcCoo9Rx+HJUSWRkGIZcL2ek4oaUBBFZEIQTMFIeWnHUzJVbCZ+e0l5IbP3SZHqnseiHhTCcv5NEAigk3mJtUOmjz2ctDw9YHPO1zgcvzTcD/X5duUls72d857A+WJq9q8KRiHvBRP3v0F8/p4WOBZxaxE6VJM10EoKTRPpa8CGh/f2+wnB6urclJCG9WzVJqCZEGDXt3ijT9KIlWyymX6axuDGGkBGiFRwBPCOmVFabZCEw92Qs4lUALF1Za1MgcE4rDwhSe/ppEKTmoMcqBmmKwrLiAl0thiu44qglSLjSNzwSzXVDgaAX8pCEULmU8De0ExCZChXYCBKUULsmR7GYJiumJa2g5RPF6maXFyTuSEyUDc+aQFmhjxPSgu/EJX8V4UVX+kWC6tDc9OHMjKrfasymC8/kip6/YGnNw7De8bZCOb6xu8NV4dXVtd2+HCf7cW9/+9b/6KglxM1F/erVy9hwsRlOk3HiLwItxPvaxj+mr5507d3g3zsOHDx2VQWHE3WwT/PEscodoxHv7XfzjFh447Rhp0VOixjJTWcnL8SIdsW+boFiOKKFITE1qCQUVLhfPRPx0BBIHNWHkRxYto5oC52LkxQVFiXX0hVVNBLKac9iKXnaB1gwRgJ6CRjUYCZpXcqE+d9zA4BLnlXxjLEchxO1el3ver3c6DyeH7gS0Sx2RBDh8EwITpaBtbOLCQKkjRKSwr12+fJk1Fh8AFEcUJ3jy1xaf39+ZlaPPaXpfGK5ybMykVjbvNjXuYhqNPHWCa2PyN3ceRXooMnK6wTX9olm3+wA9Hm0PuqdHPPFoeLi4vDYaTt7idbGY30coPvfSvWr722lsua43Pl3mMdM8UjW/J5H9Ks9cTaK0pGr/4GodNN4LxN283ZXZ03F9SpLJpglPPZt4gUk7HVtWE6ANZg+TgMdLeoWIcs0DWHjV0cXkCOh9JzG9iPfFC5ZpZnuAeBzOVnc8klt2L8BPZn7TaSqzIdjXeILGQ5YBEpQYMr7sPhKcZwGmiYmiQOAlULsjWJ127W4XUyHoNzI1+OIalkesjQidf4oz+bU1uZphJjWpuM38cHjACVitrnQYmQF5NNcxz4jhAqS6a0urAO7cu6/INvmPO+9827tYja0ur3Jz/ZXLV9dWJm+bZTdzgNlzsCZu+baPl1566ad/+qd5puiv//qvczbrmWee4fOD5zXYzYK3kzUW6C2csWdztp+8cJkzpYQpIuICbYwiGKHnhJtjcv4WCIGsGoFYHitjEGJEZRWtTyQTgoKL6uirIXUCF+yIkgfM3ts4wg5XRKTJYYhwimghplTLeAlfm6IGmApZxY5E38aIdKFwibS1LBK5KCIYmhHpoAgkw+8Knxl1rp527s37MjMhgBMvZ2UqzJMehgNoEZTh5YjPBtJ24VFY3HvECtW3vUc8iUFI5m0bcch7VFYfdbZWF3qrHP749BseHMwO3pGrSb44Ut5pdZRvcNAiKa2P8uciSo7hucWxLV39XOWBUKQKNAAAIABJREFUFP30dS59HORnVWls4KFHdS4HDxcGw4ccyoZHR9z9ym9quF25hn3/aJhUHLbTgzT4UMr/5dVqqtjQm/1x5/BxxqQqTUcmJLC/cYGHkN2TdBtfkvP3ak0/z+0UTJ86LeGw2kX7HRpRmaRwTYy5CICVllwKpJoCS2aaUZDBoy/wjojJp7W00kLDBcTGnctRJEDijsTQRSxMsCmidg00NNUROVIXXg5BLwDTBNPWd5HULpEzhkCOHVRugB0oOlqO0ZVV6kWaGuefZzFJIaTVVX7jHHqyGg4PV8MivnlQphTgj7h14PSoxw1X2hPOPlkUIC+fHu92TlhjpedycWd9mhTTi3dTorN/8+mrhsNRRGmg0HAD1r/4+P/y4b//Uy996bNvf+vzy0vLl9Y2t3e3YojZ1cpI8cYbb/zpn/7pu9/9bu674vTVo0ePitUVMTSDteXi6EeeNn3EWIbTtFbWQowInhBPGkUMYoYBwTUm5AjAyumEOZft6wzP1RBCJSIZzxgdmRIBtQxJrWzUgNT2Um1MDIHcOJIcF+IOad82ARJcRFV3s4iooIBJ7E1EiS4ajTqi8iQQJvWFcJS2/K1/rZeuFV6fu8ZSOHVKY1usR2FTH01bCGTC7GJdJRKsHOtZkfDTXZQFWOEIxPJLeGqUwNQ8PjroLp4Ol7ZPd1mDLvP5whPVBSioYhMAI5P2g3Q6KR2HdCYpCUlMb7bPC6N0P2pq5nUSf1GmnWeyD7XOxsODA65vssCKQefLvc1rh3e3lzsnvIGCI+/K6sZJ04flfJL/L1rZ59mU9DUvDfIRIFd5mPMvsBjmtLEB8SdVTd1sVDYBgy7xMR0Ta/qLwL/09lpOMCyu83PWgE1iBqZA0/mjzEuYACn/cLzSvEJDHPZi6sTYVIgiNeA8S1uj2Bu2FCx/OYxKZLGpgzYh+KQ7R3vmKhqy0vIrwizD4INP2knyek7kxI0wyZgcAg34nGD5WWNHBFwo0gCWC828ZWZ68dix8JI+Ko2sTYqCHiFGiS7CsCEQUo9at1t0apDj6krmtJsvp1fdT/rW4DRRcc/DkFOqA65LzIY6HbjOfmdm3bW4vMivCBNneg/zKV/R2Dj6AaPu2YpBgPHjoKhplDlI8kxRHn7Dq8D+sx//4OXNy3/vh39sfW2D2XL50uXtva34Munuhz/8YW14rgD63Gkjb1RyxZBsoqaQ2QCef5gEPteFTDylCsLGZhGlwBDOERHEzDQtduY5k0+EfOBxUqEgb2vmmOlAUEQRXjk0Rpzfl8Zw6osiAnBnDVY49Fzw5eYemnX3DW4TcKkTVtA6IiSKQt22izYGaoxSIIughQsRFV1C4aumXcgNuRETlUR89rS71+08DntyBBCLop6aUELjBIi+lrkhnYf60sSFiLgzGaDlYj16DTJNhBQsH9nZuaQvogxH+/vL94b7R/t3OqtLl7kHgbM/AifW/mSdxOGdBpq0osrHSthEqNq5BWHe/h5gDSI5H+zvcxKrwdauOt5+uLF3h6jpweWra53e9/qRDW++g+2dmGfJG5Pli5Y06XRTPqamKv3jgybP6GTmfz7Kzv3kuQBCCWVOraXS5OW/dLtKfgo3NTeYjPgFIRMyPeaou3LpytqlTU/vti4xc8AYFmdm7mmqal95oU+9bF9mRUe7oMTFESOmiBhd4gdTdClk9kFWWjhCxSdjTJ6I6CPeVuvTsDb1N3ohg1dBnuMyRaWgyK5xmeMFTCW6XwSPF33kuyIFGZcJUd5MDKDWDNA+7t4dnh7YekGhXl3JcWNjU3dHtPGQCd8YT7uj+q2CS0srzL/CkZm983C77U78dPxjS6a1YvLjcSezx5M2TNUZN/dg7W8dnNnbptNheW2RB8wIujDuzS4R0rELLrBATjLKNNp4s+B52zC3inmPJm6niEeG5IlWVwpKrY8iBM1mC3A2RgQwJ40iq6KJr0qhVyxMRFRQ5AvuxqbC0XIUJiHP7s8CyJRjpip6FbIwKBHYLueOQBGUQbaLA1lTxKKJSdulNrVpoGVnnsOpLkQAI0yUJxpnJUatXhTdLHIT5tsL41uj8ZXTzv1y553B4RFYKvgZ5LZxRk/aFLzA48hXH10QxER3cGdfoGZA7t27F297n4XMjjCA0cFOpv7/w96b/c6WZPV+OQ+/+Zw6daqrmyqahm4abGHD9dgPtoUfLg/A5YE/AYn/BfFsyTJG4BeEH2zpvthCQrSxuPS9V23Zki+2oaG6q7p6qDrDb8h59Cfim7lyZewhd+Y51WNFndq/FSvWFCtWxI6MHTt2vTu/56s7M96a4rwVYuL8+ibUtjQ8vNgCeDt+FBSXo0NNMYB/eWFcxNu6uBmPbs/W08WK3e4c2dBhMKQuRfQ/sngsxv9xHrPXEHIGe3C3gRAnUvFyZF0KfRL0baVqIsWVFSnWpbhnhhlVmEvVVmE6pSbmGh658AdPt3r9i0ePu/vb52nN0KCZFBTF5ShKICCYAYTM0O4QEKgLw0KnUEHSqYO+mHZsWwgWJJBDtYBtyd5f0wLWtJSzUGoPELXATI3A6D5F6Z6CTAZiEmhUlxBTShI39BoWEnoRcE3wcEUlm4GJUhOVmAPeirIsKGUYAQ8NbjZKWoF1dCHN/3ta8sIgUZ3NFs2uoGThvnCCxW6B6VTPBPc/DRE0xJ+LGz/4zhBWmzp8N5BnhFlD4mkRcZbEHIvxuNlt5cyZvLitDH6c9i97k0GcdkOwFd7t89Lz3hrYbtGeGEq2fcin3uOSD4bG2OoKAaRkGAiSHmJFRQACjUV6PaXZYAAagf2txdMXwcaeJaCIJDyA5HMFg23WjcFkozwrrSIm6twoRYsZYOyoK9Eo9ir2IEQyAVBEUjarEXxQmammtY7ZVg4gAeFcTZF05WqUUlRQepQiiGmaEhYEKnlr9QgAvPQedOB3eK9wWXtSOsfyNcUkkvysSkkRGiEjgbTfxGgny0AGDQQwWlSTZQWL9S06JiOgr4JgREFMkTwg9sfrt6fL8XK+ppfy8JGWpL9CmWWvjNmOH5UZsoTdfo+fnt3MQ88spWGwf371dHX7AVOQaTiyYdLu8PD0kz6ywfSfAuBn7nLhRhcdzm7X4Ls4X6F12H0e8rGURSNuiAzoB27UB6zYNStSpRe5cU0qTKTA7Nal1mEuxYxKRu1uC3sqNm3daHcuHj3pu89lQkVwUosgv/heLmEY42MSZDCvdFISvRKqgwrusmSBxaKicnZsk+qDtskwiNVDUSddYrcrSBNlXZKhQ3dJhNC5jDgLmLXIN9tMNUgSXLoaO1wkkBqiVfFc88QCsfGqOmRlueENwAySJAsZjIgNSgXjWLELJ+MCkBnCeC3w7s1IPE8hvNt3lSVh/spwyP02Kdo8E2yt2XGVFCnL2VeGDz3MMrUap1LNbw8c27laLNmL0GnzafjMMOsUbicIQXqr3Ti/7s0ZmHijkE/ltBvtLu8O7uZFMiHMW0nK4H0BdsWDxETw437y7bpfEjqhhVFSJDkmDUChgwEAMCrLtUR+IrNKFkUkKFGEZKuv5y1SCiMsRTXyEhI46gxKpTopJWuVFSCMwVn6LAbibF1ML/RSjf34liQVsNCdjlIkp3HN2iCMKfWVRaOxoE6pSILw2IYEKMvJrFTqGPVMkRUBSGO2iNbENjpz1nue3cNhPxbf0lnVnrNZMk64ZSo0sgFpmrehjkRWtYCsPHgY1+xHGyw2YTInsIKlj4EysqNL6rxtUFId8PCiutlodXudwXCKZePh8OLqintCcdN5Sblw2vdziQ4iGbnYgH+QLCFo989Hg4uL5YCJwubIhib+LIzDhP2TyxKguD20dAhVaytcHmZQ4coffmMoBpnvMAZXDerDVof50/b2H20ID/iwRHMpvMMhjmFRis3ucdzDosNCtxSw9C+vL65vCF2Eb9F7fykigSqPbQiwUzTEpw1B4HPDGGKSiYVGWiSHa0kyS6JpwbbQONuRBFFKiQQIILMiZRMan6Vfk8CgxfbFgzHtnhjYJAuvIQIYRfTWhNiylJpAJJjfippDjFYKPbZhIRhdjUBDhCnygPmt3AmmBbIwrTkmqmO9ym49EPDLs++3utPxeSZYWzQ6oWN5gw3muR47HSwLYHRYF76/w50odzM+dGFhnft7aAtUn51lJljbEIJgA7oqt9vOB6wKRy2xzwXR/JLZPSJkoOe3sreyCOZ+wKCflBIHYGgkuyYEyuY2HrwWT7lcWaTFjfTqKjJgtAAbQFYJjMVHVmYuhi6R+0sFUSTTmPBi3lana42E6PisNHq9crhJMqUAhsS3tshhyGMBU2TavQTTexDpCbIwrUNnsGBAl9TpmqVHLyyq7FEtiwqrUSIWXdhAadCtvhIjilPgni45EK/xUbitbHYhmJ8Nk0hLapSUkoVAlkgdV2RqvcpqxDoWo4y2vRsyEQUjZmvU5v6uSRs9+oYJXG9zwEzCUiG7ifAKlIdJQssuOFU5M4SVsOKN6zfnz4ft+prDbjiyods/Hy/LVg5KhJ1WFGIshBk9KrQ2/8VJVJhCsbQWDtkJKFEFsqNuOeUmIRRxMcBp9vCXEZw/cWkqLkeFFSnmVXEuFWQl7bUdocrVbEu5H3QvLi+uH+Uul26pwl+MUJY2BQiV32KEt2BW1l8pUjZWaDdMeRrBiKVbCS5SlHBJOIwAqgUAiqSLa0JvigRAbIoQQsqlB4kobcyFhXuELWsl0yYkeKVWHVMkUSWKKDIuDUqwSCxCqKMhzVQ0MufjChk0Gl6AlYwsAcxOsXA1RQklRSSkcU2KSrLQ60SGEhqKwlb3sM69kTybzDgKnR1XTF1YAc7yYsNu41SmWAzds+7oYZTLTvtodgUrN3rmdq5Sea2/j9vPhaGAFKMmRBqddzfYMRbnziQCx36C7OJic+SDleA+wRYNVlQO0PzWtAmlquoqvJszhcE6Lq1Jb5EELxA5ZqTHZ2EoScITwShSrzNK5FgyZAJUMSlh8XopMhuMTEoTyQcdDoH6mOTALu+ZWK83qxQyqyyAcR0EsooSlly9IBmwVEfTmzAmWchopsQtCY3PUn0cAhezELhUZbIA0giSgRIYLl3F/n6t9s6ydlXP2Y8lIV6LYNjxv6IIjMg8MbCiS6p1VZNRZI2LT8jysgJdL6sFDIzYjCiAxpLFanJh3Z8Hc+eXV7kspcicsayU/nAhTwlHg+FZgf1F/CzHTXo37elLGiMc2cBLXq0WG2GK6E/Gy/NMkPQzVI2PNNzOYBD+BdFbKgbmcMrYydpSxq1cQi/cF91ESs/4NtMpbZaKz/gONlAwu3pir8rlo8f9s3DOrXqHxV6REBRgKqXQE+EAwfI4idlUp2BCI4FRT7rUVKRLxqARLlUMFdkaSi9X5Jj9xgVe5hVpgcC4cs0DCW+il35my1rqp2jRFOcoRUXmoY5+TTK9ABBzxdrTFMFOyjXPF1FfWlbqIBaLCKhjPNozV0aKhKXK7Ao21UjfJSQrx+rTOqEPsi0dN7iZFsdWmVtSrdt8p9ueDBrZnz5hcrWdwUNLcDCZ493AyJdxzmGE9O3RBd8pbY3Z+0uj/tZv/dZf//Vf+1NGocC5cO2Rxif03tykNMmKnStNmCtN9GpLtatJgAtFcBmmCoAiuEyvWJT17NJlV4DqlfJyEjjRS2mimiy6VClpTyScnMV+ZhJ+aBBsAlEnjboaPgHgKidI6FVBQgiupLKiBE8C1tXYYTnW54xxDARcEYKdSiiVXl1NKU4maWCi6ChdHzTDHKtoP1bQF5PVxZQy8qIIvWB0BVDFcw2ABklWKYiBOe2dH0L8wqOCkqyrV4r3Wo32pDbjtyABNecFqKMXVdKu7XW9AhzEUmWsPUpI/erJ9KP7bn0ZjmyYTM7Orzi5OYmZowR6YqYzSKM7EoiYhWlx9CYu0RA8xxWawLI3cnoZR8BRYpjD6T/94UXC8ICPpSluMLwiFR/2EShxAkdDbyZ3R6jZLgBUYqk3+lc39p4ggafYI5BgD16ITZZtNRVBo34HAI0i04pKDECLStVbgcHAaCyK6iK9XpHnMnYDKFUXQ5RVyrQbmQHSa1n6HTBIWCSniJdSEWAb/Z0rqnGO+cdkesCkQc9KmOolAtVL9jNeAZA8L7CvVC6B0ZsiMGghSRp4qzKA0UsaNRIZRbBII1eQICruITQhJrwEYGlQEyxUwFjfblwK3TF+xBAbNdNic7Rap0Sairr9DofFh+69TTQmzbnNbf7ylFBr/3v41OVFI0GGjkFbguTBPaFxwvSbv/mbv/u7v8sWkL/4i79ISpMsrrf2UyP5pjJikKYrtlC4vRnGyMoBdMGVS4N8EkW6ehoFB7os+dIiGOKiIo9PlEqXJ/BKc2UGu51zPG8JjCjTBXsupan2eoscmCtByES+sv6a8KKOkDhhtoRtJVxopMokASiVDQAMTwon9ApQ3RPDlJV5EmWhm0tpSCn6sB3ObljV13fuhxQ02Cx1uUpVKcgoNYEMmgzElk0AKBmaGUHgpUj11bZ39lj4kcU0birOnau+nozC4ZBhmrW/FSPRksnmR1GG7BQEm9yZIfWO2eqOGgbR6fkb3VE46Hg6X7TnfKCQB/evYbc7Uyv8c3N5UW93H+7vNhOppGa75koKDmTj3CzMzsJ/sS8AMIVgvLON5xEIByKEm0dtb9IcpRd06QOaYwtWaEZq1jm7uLx5rO/jEi2kRLY6GvarQyWlSVZkINWtAEKFXcAn9MqKANV+KgPSpyyjOgV4mzOJPktpGAisK4mLIpBcfcVNjoYFUwQN9RKLikxyAlDKrVpiqZR2ayFHkyTJkYtML4DMMxoVgSzXJS7pkmTgEi5oSDJYAK4QgCKrrAj81RSBhN64PE0uzAIfvLlFuUgekTH34SnDnD6++eGzRxg6yyJ8r4YpIm/+heTCdlM5w0SAA7HGI04E3MihntR1k3F/WIrEAxYb2ZlUcTXyS3aHdDstAUTH7//+7//O7/zOH/zBH/zlX/5lUop/FWrg1TZccaL8aFcBCa9lPYshSwBThGokK+vpTS/I3KAsiR4vx2BTYapVpKzZYHoBBBcZYJKrA6bajEl4wateuVWG2Kw1RijxYRG9yEyvSQDDYGEVjHXd1LdEVBVdZpgAbCP8SGhUAo8mYGlHJolaywZjV0xSZJgSwETBRRIXKmAxpVl2aXy/vv7cAnvCnncl8EyGxJ7lEkZdF0rp4soozIRJpaY0EQK93K5WJssKFr95QOb82IqyWIXhXj4Pv9jCQlbY+dQO3945lLbDzyG6k8tpU6w5gb11+Wg0votHNrCINT6/ZEWWFYX8Qa2ifA6CXiym1JkbwNnFzXp9u8d4jGwaRSlMoULzhmkF/xOgYWlqXeNNI67xAV84XGrvhrCn1We2t4PjmiVSV2BpdfuXj5/YZHdbg/DXG2EwfYTmo1RxaPhcAAcIH/tW6CTCWJB7LqmGwCSjCAKIVeSJs7C4IEYXpWLhapSmFMCQouQqZJbLUwqGxnTJwoNcZhIS6K3MtGABScdnIsWIQTarCIzhMa+iLhkjaXAxPphkkyYaT2k0AHBhG1cj86UehoD2gtIjc+FjZ1dRCKe0s9W9zwTLPw308jGAZ45MkQia8NbhxovhT9ahwvB6UvgVE1jCy0BemofjTqx4wvO+oP2c5ygusRUsTw5Mi2p29ad/+qfMrqhMQkBWbSA89OWroFl2MLSl9Sg1lb8mLLKBK1wlcZlwWRYLTZchBViUABisIn4oowuNZFVfmZFISLKJkKTUZ0VpVwW3J7BaAxTFBFUrtyprD/TSZaq9UsGmmqypLnFjVoIw8MLlS1Eq7VxJFIFBnYwBIMFFljHIVHsJRbB0SVoRjbToaoYBwCvVMArgWiQEPO8VvrOsc8+0OVYJsYpUI+KQoAJGKbMrs8G0Z6sMi3xlMcyzQgaC3NPe0cUBd3weYjpdcLYxv8n4x5eAjbfAzsNjZQHjcWhOb6RZS9btcsURMfPLN1d332bRMBzZEM7L6U9O/UAhrh6zwLBa6D6Gf3jdjxtSGMTK2pzC+F+YNtFKcV0qAGGFigd88d298AZfnEuFB3x7ByIc5+DjqLdO23HtoG3Z7m+jyTPBi6tr3YPxRjbkdsRbKFQ49koiluhVdlu4+0uREigAdSIA6YLrUBwGUaKBS+ODuoZE7TTtQ6qFVKtPAaPO85LdZ9rlxCh14tqVZSBkWi3UMcXIVXIgAJBJSEvGMYqIf/06IuQozWjYIbK6KJNkESENQHp3bHHQhswXkVXyZB72paoXpVumnI5xcH7FGQawexUVYdaVmYyGcXLv1rHhRqbt6GKqGt86zNdi2Pjh5xWPFgNjcRiggLldWHH0a2I4Id/uArQjDu8gEI7eCzTV7/3e77F29Sd/8id/9md/5ouM0SORUBK4YrEgICtYgHqCpHEVUC7NyMyYcsBUK/oTYmkEKbGJavpAGHOPTGiUWF9Tg70wkekq1dZvPdlpsFUc+RoTvRy8AZ4EMqm1JzsNlqu5GiAt8oz0opTKMrjIhqwiiGHP4ssxiNWdEnZSlljquPpaYwkuAlNkTFYOmA+a63fDb6jdOpY0Rs071aomV4RTxNjKS7gAYBCia658j8Q2WDaTgFig4GRLll7ppRS0rtQjeK7B7SR0bYYMHgR5afvwztR9/CeS63a6o9Hw2AkWprTPLkaDs4vViEbiyIbLDofWFP5qKjGdZwNs8uDma23N79kljx07vcV8YIyaS4W5k/6LZ53Dg29pyPhoL5lLiXXnzAhts9u/Jr8qcATjlnT7N6uCCV/n7Pzy0Rua7ij26GUah6vEP04TFyxqRDAk06WsroY0gPiULgh8BzQCD0AjXXBpJIGFRFbJEwObas8FHuIie0yCJ0AXiSJ0gTcaAPBIowoCKDXh0bRwAcnVcyUwBPw6EpKGsAeI3GsOMsKFRrTLjWSDylKlVgUYxQvXQSORKQvFZepMWvRLcaiFke3AVEbyc6+04Gg4DktO+xOdSLybXZHlNZ741mGOGN9ycTGsxk9bGieH1KGoOMdu2QDlhTiqArSjEBjevVI4WtFv/MZvvPHGG3/8x3/853/+53jzrS++8zO/8gu0yItvf/Tev/47IxMg70MmACRAQqMm4aqkUhrshLkLgWUNbwaY0iLVEKA6YRT7q1xNndVd0sxIlEr1J6cd1ajL1sKrpjRbdwiUsrwlGEKFhkOa9KKaJD8gzQBgaLjaTze4kjAr0aIi2AGQKcDopYWrAMMbgGpNRLK1NhoA2JFsQjDPT188pYdFz1XAh83aZ5kmhW/phKkS3kAmiYozhsoA6k53tR6LNPBQHusTxKICOVYvJGAz61iasUXNuhAW0cA4DjDBCtOF/JT21nyq14iN4wNWyoHVBUO/vnlr8fybvLIdd7uPu/2LccFezCKxMxYMZjwWJEB3DiFU59NJvcHLiWG6j3uZU/G/TaS2n5EJ289h23KWuS6WbQm2f4usyuC3DNu/GYIsYku6/ZulaHS6lzdvZM96VTjhXvXlUH13c0UORaREII5iAOdqI0CVDg69yBT/yEQXyES4stJrqqWLmAcDF3KKGMVuusiijgRQok5cokEF9PyGoX9JC1clqbYZknEZAC9GkoUeYsPnAviQRBHq6Npc4dKwiRyS5zIDPBIWEpiD6sQuXljMSI+n1PR67b4iHu8t8XBYuzpUd0+fwEQEwxpv/2Xwe7MrSgkD3OVHV5DZeIJmybuIBZGWaGHShsCskC1ZccmWwv5uHtN6n/7qP/u1r/7VX/2rv/lXEL37a7/4+J2n/8f//L/hrJ/7T375C//pL/9TnGPRPPIyjWT9yreBKcgFYK9ILC1mnmc0Zyk+LJvV6LmypUUYqYYXAsEJpTRKe1Id80nCUj1rGq3uCa9pR3W5utxS2KlabpE0coWApCz0ANgABi6USi+BK0sS85IsxDByTfC5WSnSlUDPGimNSCtSLWuLSqUU+UiQFmEY6RhPpQ68irgmcsiSrC4fcHYDT5bqte8v5wwKFCGNfpG8EJTUVKqzUzpTKiDhQjjmyZNmAL+A7+/v+RmnERN8s9lhjAnNFYcCPhzNGzOZiuyN3YmiTzTb659NxiNOBKiuRbbyoHPcvbqc3eGHcGRDe179yAY8wboXO2PDY939EZJ9rc9fvuTJ42Sx0tKUroT8xsL9YwyrmW281ch3VBvG/XvrrjgP2uralrl8OLWLKUnr8uby5lFuUMEEXkU4ligiLEESSGSVLNi2GnZ/VQS7wg/6EmJjMxqC2RitVACiAKAU4EtRByOY09SJi2uodrQcGwCEkVL0MiAwkQKJLkorqoPexhBVTQLBAyQpqI8JvGZa5PC/GBldQeYymhzzJIzmSViqcEm1mhuB4rKrqcgFFGM5VXq1tatoRo33aTv735yRefZk0JvEU0KbYOXaE5tS++U9XyEcZ2PhhpWhyBWfoXKIcEwDgkhqD67/zX//337pv/wPf/G/+tWzm8vh8/v/81/+7xqm3/s3f9e/2oyJWCzGg83vdO1AeCVBKDXzrjhCsgdQ7S16roZP6EuyUpcQgBQmV7snRiN6Pea1wDLAa6cVTLKqaXU3fBaABiGiz5aCkSJfJKX0RhJKReDlAMvVhFpSdxmZIL3wXBiB6DIuaZQZRfSyARY0ZudYuVyGhAt1yEeIIQ0w7WAgMzwA9PRVRbVZ6wkSGMMYgv+/9fpqteax3/QsfA0+oUmypl0Av5KlyEwFIJVoV+2w3MZxDsfa2/YeZlfcWDdBywDEHJzbZjyPAHMOWJgY/NqzNCjVqy7Wm9u4fjr9aLA5smE6rnhkA8PGmDWqsCaVxgPnl46n8+ej2bqxuattDduq3f7d4g//TTZwHGbYURyvbNeaYcdXi4W4Rr3barabDa4dzvUPfbz+Muz620u4grwcoitxBWB9zXqQSnc25kHGSOOqT0mapzX1HgmsUKe91tf/AAAgAElEQVRUeDMgIfNZUweX1IGRHE9msFTLNq7gpY4rnR2N9JGSaprkiuqk14wkK2caXgBXaEgmX3hMEsDUh99pKIUgOxSbEAHIMddRR1XThCNEybgoAuaKZCG3JOEvGkVg9AlgujL4Aw86E/oki1FxdsXpVnslGMOqGObuYWOGpwVYyzwmWyRM8EWdDRNhS0aVFHwym3X3zmfO0VsuCgb+bSZY1qLw3H732b/9H/+yd3E2G4X3j7yU8f3w6dOn/EwHSRtwLW8DNZgRSxRIuAg48XJNwktk2SteKmrULDEY065Qy9KgWinXAO589pQny3sQI/+YDVn6rfK96h9VQclEjlxqKqQ6RFVM1ILlDZFBA2BX2p1SY6wC4CuNaOXEudXHpVZBVT/X816yrE0q6AlyYeiRzPBUJL9EOyy4rYgRdVSB4Vh6odQWCvrJ48XqYl1/EccFawLIZLyvQqIdO5GpmuZWJ4uEHoE0hPmTbe9Yxe6icFbFfLk9gCWw8lhsuZjHz3XtD1pZuT8oDB+uZwhjo2+5wqy54ciGs8fd8ccwcmRDZz7ttNu8D5iVE+4PYWzhCPhweE6Ts6D3R2dKp4vFw3j+crLAHubjWyEG0Hhb3BF/HY8DKwjYUe9sKWYL61KNemc3l2q2w8fQwg+mLNNNc3W/mLGPjYCxmMmSeYzIkKf+To/AY54gF4aMyCQR1VxDG8QEsYCSngUNLFIHcTmltEOW2Ck82rFcMFephpLhDtjwAFIHcZUKmroSOylS8lqAJd+KEHWwgozPJHjhYvBUjZgPCZnItyzEBsNCAiPLyzVCQxKvGIHBFHHx7MQUCWCFqYg4oczNojx3dsUj+/jK4F7DmQQsZD2bcdgwGWDNbGk0HjrHZEj2ETwl3E6w8pXuk6c54wl9INtaDEXMpVKm+KLpl7/85a9//esUaXBX42UprZ0ADBaZGLMs5RiFiKcBQwKjqy8CllKulFLBxIaEODeLneWTj6A+poQdn5g6gFcJuESyZVELjIUk9QSNMuClmisJ1VSBIs2JjV1ArvEJTVFWBiQSTDtcaNfVVx9rZWeR2Fw8LAyX2SiVdlmSZcQAGCk9VmNwXPwB4BnRrmBQEbMZNJoBAOBf1Go/Q5vUay/iwA6GunPN2pZgEH7CHAvJJL8AplcLsTP4qsWXJZgMBlXYwaDcO9/mE/U/jGyn2x0NBuUTrN1dYt/C1tXj8fi2X5szlvMBofOLDi3BMoQ2Tm3CLrROYAPPwhW32mR2Fba6zxYvR7PRstbudJ2ufHDfhJLcyezFjByQ1agxndK6FDOqDs+AW6xUhaWpElN8UZNlrTCm16kswUbk+PD2lAls/ZfOS5yTNYzFv1jUC4BjYG7WRUAyQAlpjIkKnzXDYMxq9JSSDA3J8FJNEbWjI5C1oiLA/GBysPMgo+yUDfRBssBiBCYVVZYiWQK9aTQbioyEy37UscSubd2oyI6Kkp+rXXcKVJSYZwaYBNWRK0UgzX6MZ6Zn9ADUwrg8viKMZGZX3V43+VUTZ1d7irIC+WBFwQRr423OwWKNP56qleXOwVAXfpfSU3LKSlH7Abfe/cRXryvlDQ3zt3/7t9BcX1/jSoVUOUtSSqscDCaxIJwErCvBgUaLSDVzaJJtvCaKLCtGyx4FwCvtWS7p5ZobUrnIrJASTKh87IFUGQBKdBmgLFq0blzdq14jAqmgxyRwsCCmBE9WEwKAiq0pCWrB6ixb/aH6DCuJV7GflCClyK5UkFREA7tRegB6uLCTQQ0bgPGwDqwia1xBvTMArm83au8uatfbOZaXWQ4zUKICCQj0lOYBr9cIICYA1PpiBIayNuQBXJ2lrCdP3+akhkdXnWE4iOCIp3Km4hME4peQg7WZlINyNDTH7PJp9/5DZhfDKYt1DyteN4p7zrYTjk1/YWWrxYlgoes4ft484icHjwWH81WD9w92t2ectqNz4A55AAo8G74j2D1p2PbF2gsP+Hi6x1SIiRTTqVaYSuWuTB0wyBeftRuT0QOPigkz3K5QIchT73ieCENMElp9gSxCSPByzXDsEBCov8Oi21UVjfAbIxrp+5vA3gqWzaim4+iXz7Zk9xdGEnnZuSsogGQnhXChTlWTolD/mBJWGWmMcEEAobgS4iQrXtGLEbjEVKxCsmhUZbK4FDyiwJQ3hBi5kmCsolHECCcByy2qHTDqQsW3wQucXdCShCrXsLy8qnX7+kxNaH3k19f8sGDb5IHZFfLRznEXcZHetO31eZwX9n4c8xlTXKqINYnlwJ6+QBoQm2MagDCRwTrgK6Tg2eOT2kZ8wCRgXRNhatHQsG5oPE1pItmyUf/GBkN6gDK0H4xaz3IUjHyinCRL0AWMOgBTHeLmpOU3b0lJFWSDJ/YwlpCK2IvwXkICIw2NHqm6J0gjiPo3BuCcEwIAI+VhRJlYA6TXRi7wdAH6lYjpkFdXVyhVtqL295s1nd2gdSzTVQJgBjZAgEZV2VtLFUgl7EQI7CRZiLTeo+bds0W30Tk/O0cU70LNwtL9Jq5KRP0gi9jkPh4Nz873Pq24FxzF1rTPL0fD/vlyROO2OVSfjeu1RhzsNwJwBU3ZCreevXYny5TsYTK7nSzD3EpD0EaRU+7AYit8ydEMYuYJAs/1mD5ov1S3zd4pFptC8tJfF3zdXj8bDfAeflC0WO8gi1KiCF0Aid+yQQgjxCbnoIVQEqiQwQVvLiN6uaXJJBMIJYleaT6R5UZQBFivQaBowCCqiF54zLPqqz+SRWPWA1k5ZhhCSBBU0YhJnlHVD3V2piprNTLVcilZe6UGzMH7ONK8RpkKUvKpr5JpAZABpg4MXKwtaYIV/XPKlEAqwtC0bnT7YfSLw1St2earQb1Ou3f78V2gqdAbprOpm2BlWnldY4nr4WFadHKpLPFX7gSc6YwrPLII3te3za1rYfMHCTbqZsy//du/zUkNX/3qV9977z1DegDicsW+hYwyNEm84UkXVwFeci4sxtyiEiR61bWsg3liac+GrGjgpaiieV6sh9FLwnjzAKXIJGva7XZOEcRqCy/kFWHpQnKuHErReEI1YanYKKhQMgO0EwuknMC1qBWMBQA7GXx9D/elJTCMDJRehVSLBc+wb8mGJCgLlppLNKRF2TnWxgWZvmpOULtzxauI89am0vPy0MOo+Fms5vWb6Rvt6+f/OCK6Qt3p560GG90b9SaNnSfgh4Cj7onWNJ8Uu2zw2/XTxfNvMaCMZivWe3idsFlrDCcT7oRsWmaaQpWTwKbIPRZMtn9VV+7sKAIzwvB6qxGXplpNzu9iXarbbrE0pclUkZjXjmdCebmeDhe98FR063+8BEyvRB39q2LsKWJh1K98som3i4xHPpRwqaMBk0RMEXLoj0W8wttoJhvKiSk1MhhD5GwHHGASBFzNBgCjN4DORYJSxh/UaD6EC6XIJBnS2CmVAYaRCiitKJfR0wu2B4g4Vg8QYQTJNUuci5GpKqLiVvdcYpAYybvJYdMUfzKbsYq4svgwo1rXW+0mcnjo3emx6BMahY8uY9Kjtx7dfv9uuWZ6nWXdw4T50FlYmt3DKhN9gApao+LHE+HDddwX1C9yZG5RGf9uEevaw8tB/iPGb33rW7/+67/+ta99bSsk/Us1qLyw2SqpUbkKMDKy2SBLReflUZFlBKmUxxFwsKDxYKDksle5l6MdMvUEYHTpCgaYFCKw9CzNXNVHIeUBawvPK2Mwg9IiJ2ChyDxjFRhGG+ZkA9ciRohJVorTiuwxmlwAIdTFizIyb4MsoeKUAgOgDkY/OWPoASk8P/60p8qkGQBLlUgQPSpQx5WszsdioLhlc3W0JLjAOcFUJAA0SMC32JYUlWdhRDvTKX7tDUaLdXPZ64VbJnLq7DJqNkazBdtvlrt2KJf3gyjlOGtOpdrfAlVVb7t3Nu5cnS8eGOI5FovFfz4+MprMafXrizM8L7ebuPi24OLZcMrbgv6xYM4bf4WBbMI8sEdNBnuaNbafM+cLj/nYMtULc6nQpsSH5/yhwGetxmwyWLXSE4ZkDEaScF2VWIUFSnUrBS3ZJG7pPghUp7D6ios9MQDWZdBI1mhKAKmAEclcYSSV0KMdMhFIhUyCC1FVlJp8qyaYiozixQ8ksZg0som7rBZGo2oKX0RsXAA0h1oERkY2VZwfWggEVtbTgyd5DLCqCYCF2VIjRtp0PF21jhupjB2AY1F4ONg567TYwd/czCjA8/uIPADtdvP0+u6jwWI1Lj8sBVM58G+7M32rxAUU1jJpm87CK3oVEwJLJlhOtuRtEfHv8G40fpjkT7DwKS9+ZxvDm0V9SB5TDtNmVeLDhKBdBsAIki5hRQJkQEnzJ/RHZekM/JBCKckskT3oFYBqErGLZO8KWI6qablh0i6NuZTYIHUAuQQlvJgt9+YyGjLXBnlGrcC1SLsJMYD+f4KLVAvaJfEt+Co2QKNJFQAsDD0kMZZ7AGtRamOWXGF18QAeICFTyA84Rm7B/Kb2cjduePJCGCFoKXKRDOAqfgGmFOdwK1+PW9PaeLlqMjoQn3f3D08eX7PUU+//8G/wvtpsch8NHhj1PLI63Lh+c/V8yAmvYgmtyQ/fNo/ddLDMRhLo+Fhw/nIc3hbcn+VkHJJBlNiDvkZ9zfShG3dKhe3nLFC1Xs+WqRK9r1h01Vw9G963zq+yctS5CCrNBpK+lqU3DCxELF2Jq6JRfQEJRKAwRuwBiqQFXhJFFZUao1TDKC3qEbkqPFIw1gqoqDT08DjMYqpqStbXDu1KiS7k2xiiasIlUQllkrVqgjdrE6UJy9aE8KkxFdGaZq2tdSVcPmuGIapIKQtO0/WYAwBfvD9gOtTuN9s91mYZfg53ISZV/A6kn3TP2vB61YL56WVI5lXXTy8ePuIzpoM46bKSFJhO3dkKmbkJCPZ48VpM+UTNC6XJaDjzgC/aF7/Nbf+OB5OwfNWICzC5/Hj2jc+//fNX9e//w7cHz+NzUCfeh5RDF4KElLWZiCwKAXLZUKEEQcXoT+TAiIQE6bPqJFxlg66wAHBnAsBmVMvyclFe7LEw6pTU8RJ29JIS7yU0ZJGQRVbBiHFjwVYIWZQaezQhtUGRd1rTmGQPyAYwMskXCcYJDBmEq4aqLEGCwWxGE7gAkMkyVVIvslnHglTy0piNSSn0WRZRykvwGqM9Kzx2jiUJBKHci0xVAby0lLv9pv3W+8/v6N7QI6TbWt89DJgJmGE/CoDcxJKfVe1Yq9hEVWfE3X884f2PwPhYcPliOB2HtwV3o3bU5ZpKundNl9pCb4CaYxHC48i4ZSrsmopHJNBt9ydtKe+PWh5rr9aze/asFExtaRGiHU/S17j6mAdD0kglV3OFnoCkbyo4qW90SfAmvCCreEDdSkqhh6uoo3n50q6rlMqYikqtf1EpGVnes6wiqhcambtIOxotlVgOzclKzTb0kuQlrhhghgmJFm+DMVJNnszKYC1recYsbNZSJKUIHi9G0/po3pkwwPQumk/Pbj7+xu3wIUzmkNxo11u95uYfR9O7+VP0T41Hda1++BWyb/VOeavVRswuj9hG7fLNfv1ZY7K4j6OaL9zBcRK7QPQOFSGLP6rQbrXZRJEQlGTxkh65Go1J25dNyG5IZpP53fN7Kks+51M5okLu2196tzG+7N9cjm8f/vFr/27DXe0PjiaJFoB2tTYWMvo6XMrlwXuQpkiCQpCHJgAyRlcESiwAVvlxwYs6uBXAExucNRgMCQJdjdIAzCCpPyReMppyAHZVNpdMkqMVOWaA169VyKIhB1rEqyiqkadJYDPDZg+eQAb4ocGXCoYGIVyzRWDAa6UKGDImRjZ0ggHWncPMEJIrSWJzbaBd8HB56+RaxRzrZ1lhWeWsY8kGrqZdAFfZoNkkSosqa/QJAH37rNEYbgYaHls+vrp679sft/rhG4gFnktkfFLZTW234vtnZ9mt7tvCV/07Xyx5MPp8MF3tPxakqXNEb3H4hzbhISN7pMLbfHFRKh6RQPj8mM2lcqoZUWx0GfOgsM1xjttq75MS7Zo6AJAohJJQVNKYuc+xl7MurN5HQBpmjy6TgRIVoFGHAQBJ8McABhcEJkUmDKUiK6ExYqkwpbkG4wEEehZxIV+MZEUjsiLDvARoEqWUlhiMZCUvRBhEkeD1RbkwGk0pIzA2wwiGBs2lNyRkk/k4zKva49oZI3DNZkCdfvszX3788T/dTu/DDHs5498KGN5A1m60us3eow6LVW0elocXS1JPmpbIwmsfHSiS8Z2vPp+/0W28uBnN7hrFn7HhoV7rbDfBSoQgnwNi5qzll9rg7WFrV6/HVveA25fmcg7kvK6XH92yREet++fdnSleKDCt1Xt88R/86i+P74Zf/5/+6q0vvfv9v3/faLBPvQ5Mrq04mkQpVygPdkiTnADwKiASvLKUKmGDEng0AgNw5W4aAireomRPrpwECWOVYDUuUw2APWaACKSXq5JxvXbAm+GFg2fUMO1J1XAOpVw9S0UYUdQ3ESgzuOYK2bohxAaMZHPJSpCYysir9SSRIcd+jaGXgUO/0mQJNDJGujSxA5b2xPgivTL7BEeh+oN2/Wc5jImtUXHxHFEgJdCuRXqpJpVVABfRZPFs5KR+BKMcJY0315d3g0Gn129kfuFlJXwSmNyACK54BWVFvFR5Nl/e87bgeNHcO0QUZRtD+AM7jxO5eXIOAnMpLUrpGlZpMK4gjF/B5B8V1pt2/aPhfffqEVG9reuuiegXRB1XkizGFSIDg3srVkMDC4xogaWIN3p6423+KGK5ChCmiDdriZSCl1KEWC2yxAlGGjFY0ztK1fsOajcVVtmKeiHzBlNZlCJNgJkHGcm0GF4AxKqseKFMCJIsBPaskJrqJGqQ3KlNBTJJy/VyshpNGoN1b8FK0i5EnER+iDz94uPn37obPdt7QaHebvSuOmePe/3LbsXX98LsSrfvKN9Xg7Wr/qN2/fbRaHJX7+TfsOKCU3xS4czzIN83HI2YHHrBvjyF8QZvlmcWv7fs27+w4T1mV4O7AVXunnV49Nnk5aJU3javqCLXvz7//D/7pflknkywJJGrtceWNf2Lvw7SpDwxD6M6vzo2ODBUQw0AQMJObkKCvRBoSKfp1S0tK00GeLxg0y511luylK+IUaUQApCIwlGJGSIACXG5SVlpifAk681AbyJcZpgxCa9l4cryWmk5II0sMap2yGGAIEjEhXneBmAvTbF0QmDAgiLYs7xSLTcSPLIKpWbGNxvrdxbr+vH7sRCiORZKs3p9vYDVLlxX8UbGbgiQrOE1auH1eN5c4yOASON4wHQraCLotWbTSM0I5xkm5wR2uiUHMWd4IoLOzzlYvdqS0w2Mgp7Bu03xbcHpaBEOEbUigDCXaoTplGZRPZ7x8USB23+cTDnKg1Y72h9PEEfd1OaTcADR5gdw0lOSalGqfkcvCDFWISBNgoWuepD6hUoRJb3QeLzxGpl6GTQmLaHJZmUwKtBLqecFqZRwJWZouIBS7AlxbtbMgzerN2HZWrGLNzlBeMEmMOH1WSitsvDKV6qLJ8uFGRPgFZdmWsBxoJjfzp4v+qN6nCbsTMyTws+RJ5+/vus2774zZC7VvepcPun3Ljt+63oe3x4Ou5v7r19IqY3gjXate83v1Ovh5L7W5in2HjsZ/DCbzwq2dUYxrEwz4Mz3JoKplP08kzY3wdraYn/jvIodafys5auf54/7nnuz9w0UPvUFeHz8cjD/+w9AMvjMHkY8a7OFRFouofe8HibC1PAeKRgJJEKBJJgrRfgIgCt4mhldSCBLygopwsBbpDeXRQZQBEBNmd2rb4jYtFeJ9Vz5FZHeDM8ih8gDXHPNKEL6iniZBmcdizpKvTEJDVklyNALbNKOAlSvEhZvAw1KrBMS0NNGjAXGjgEVmxtrcYhnLNFuRTIDLcyfvJ9Vca5KJTbwrJDzsTg45tbW1k36IYAqYzMhjWpZwhUmq4WArRV8tCus1fN+HIykTjsQdzvN28ni/OJiMBhyivrZxd4BVIdMOLo8qKyWaMrhYDfBmi3Gi/Ww33rM2FAiYDUdt++/f9bmycX6YTRjmzlnufO15lp9yZb2Z8NZrdHqd1rhVb549DmTMAEMNgw3JZJ/eopw2vT+xer6iSKnYsUV5IScfksUdX8IlBALIOEoEjvBDFzEm7XEGBGl/osckFnKXAyUYsRmCNAr1eBJuSxCQiYAgzWQQm/IEkaKjEy8GJDVFdRvU660Y/VKmNkMOzBIM4Yslih5jRDg0uEwfMGFUhzFb7Pacs13thrMvvjI5aHd6wxu52/0OxdtHhryKNALrwjzMuEmUvbbRNEjHB+y71zxnu51eMbdmmBqIjy++rf3swoHeBoOi59Mx4wDHulhbmi+lJ+k+EaeDGRRGC7FXSTeGuaXLDvPmCh5IYLzz8HioPZ33nnn8x9+WPtuaJvRaP47X/nnvV//F3/4h3+oBsgKysUoOLiSrEURKKeo1dWughMhBDQVSJCnZaXRbMgKwQASeOwBeF16s4pyLQGJUrwEfbBjvz9khWQxsEhIUkR1JDbBk5U3dOUmB6WQiAIIRmxTltcwOOrkZhKv6cUSM0Aw+pkf6PEfMIqwk2d80k6WUrOkOoBehg/xSpF4zQADUArMFQKuJH5jqL7AWY1eWraUORb7sVhfOrjnHTlKCAGQLt3PFJmK0qwKYQgfzOWOoCzn1ADwW6q2mrLEjwcJieHD/dnFJcKLhJyAP1kWpjK6cwebL3gx+sP+RXf40fPz3pOcMxSiWcvhXX/wcXMVDmVgX0evzXcJl/NVjaMJb847ve7Zk8dNJrMsTZ06mULwybU5wXM/NJbLVu3j+5fda6azxx2JR0yqB9EdCCfrxeAVVACkokAVPbwQAytbxQvIVBdAKexeBaKUkANAka4AJFSIkVJ4RVldr1FKL+xIQ2yuzRLOVaUA0YRAbLAJzJVgSCOTXvCqixGUAPDKEng1epCV2eVCKGWgI+GzGsMGL/3N2HPAbxaO0kPGnk5KOcaYR+0slrS7Lf7tFVfOhPbcLF+FdwxD2veu4ZrdWocH+7XLyaQxb478ZAgmwpI6Ehs5IiKKJWtWrlfr9N5BRRgu2H1/3u/zGiAH6tkYwE6ssOrPZIrwQ3xcr2LGGedV++6IKuyS7wuk/NEf/RGG0iqQCgDJrc44AazxLF7BQKYWEKDmpKnIkjx7OYxMi61ySpVKqUzSNeGSAbomRa836y3JlSwbcmsH8igvmXy48BjeNgwAliDQNnqT9cJlhq6EY8Lr5bw6bC1iAHoFc1WtZQm6iDcFDDARyKSKqmVtUC861mwpRRdugZek6AWDCtmQ2zRmgLoDjGIxfBXgW83aFzi7oVa7ZzfDNsEIKGkGkE2CwUwFKNfFd+OZYtnifDgOMKrgoBmeCDE+cgpn//yCdSz2mDOslUsrLy0bXco5XWmv3x8Nh6yusWrFJlmGs8bFYjm5ofEdVQDD3PHu4/PJbaiJK4tP/Vr9bgt7OLjh8vJiPD7ilEUn6acLJBhu6vOXw0GbzXlxykLUkXK9sA3YTZuThYxAJSBVlA3aXDmGVCTDq9s/etULjKAIMNUAjA+QmeoqQqyCVJkEexUuGZPwYgAY2eOtlcCi6qBUMwCZ7RmLYNOLLuOFnSQW8EpegggYsowm1rjS8qFJFi96wo+YOQMLuztD0zPRgAaBceu6V3sK3G7bstMmwDafDvT9nHEsym4y21nVe7Xz+rQ5W6fHN/CpZp5vlBjBIhbLRrgLmjCvwqXtZpclbmaQ9XCIPNMp3gTkdL1IUptOZky9mEliS8l6VVbjboJFmNr86W/+5m+ypIahdcPGju1yCw1PP1E8GQ2AGtvCwhdVgWFPeCVQkrMSFA1c4cJCC6ksZTkGLUlgZemhAWn2eAJUe0t80UH4oN6sBG8Jqs14AQjUEKZrlv21YHA4wcBVDjGT0C4YgIQurkmbgmRsBUl7WfhREe1SLzcPadIo4Z64xBIzgzkcZKgmyU4voRzGWvoLEsrJKJVkswdT32/Vf2axZkWZZ4VySNb+IrEyFf+UN6hOK2ZEwN/hS17hc17hE7+dZvj9ijFopMnOLy9Zx+r2+u4TE0Wad/jt4LfDvCoUXtmLfopWrWZhOGMoX89Gq2U4qyw2ERe22y6u54PeKuy980r1tuBwtmKCRQEnjnbY1MWhgtOpJ/sUzvUARxf15sN53KymACNUoBSsaNEVpJoj8b+JhYy44qomM3w5gDQN1zaC+fBGmiUogaWdK1oEIx88qkmet1wvpUgwXiSUmw0BxKjwYmEBT0rs8TRZWHolTbUuV+0lSBEYGEkygKvwJtmzGAyN+Sd6a/PMpIiLFR3jFYCExSxMs5psrwrTkZQgoa+YDd/bzPmlF4XbazCu01PQPiMc+dtrzNPjG7iVlN9BOp328IF7TzyLK86rzM54SERYOr9+cnX7vYfFehJWvDpNjm6mtkZWEWARPUylSY8f8yr3Fe4j4W41g7KJLLqf3QuTIp89NtbhVWtxhTfbchgDjczzil4vjCuou1mSNUM2lFhSFKwn24kNSkgAkB9MmtpISq3zJKVwGSYXQEhWcpZScrgKEAGw2lqGYUliYVYOGGiwlkCCHRi3a09VLnEuEkZ0MdHxDjfVAOWWSKks99XJ1ZVFckugI+jGIHaulqAHljFcSd7Ib9Zqn2cdK86xspLLMRJlqrPE6NWvPEYKZiS10Quc/fyj6VuffZt97sMVX/vFY5s1sPPLq/FoREMUbXs/EDeJ+r1HerCqw0JE/aPhsh5f7BKLbUTCglWrF88+pjlm68nF08Z0PLt7/kGj1g4/VBlMW83VbPruRavLyZ7uyQFDwmy+uJ/M2V7GeM8c67zTWLDJfTK+uOohDT2JjZ9msx64ajeejx6a149VRCsB4D2uxIayWa4sBkoNQfASopbNUleiTm0AACAASURBVOZiaCyiF15+wMNLUvMpWHJZDAmxqWYwsawRlABGjHZ4uUovAIlSXZFglLnSxAsN7FxzaRKkFIGk1qbakCKOVoSL55UlNv6osbierBrhstxr8TB1goS1q9b2aza+9NVgliFt+SorSRXPeW7YPsdm6Dv1xc14vju+gQbgIYjbmb6TyQM+/uMrimfXPVvjt2Kij7hVliGo1a912/3sLNPoDwLh+YuayjcM7USivRWyB6VkCWBPokQ0ihJKsyxgFJRcSQqdXLLXgpQlIWz3A5ctPvzwFRIzcmvxWgzwQqTO3IJeSkEK0NU3kOc1OKmI8MjMxRuXAIRbc0OvRBGAUZoxAIlbjNeIcwEYiSibnRPK+kZN+XRha06wBAlkzRIwipPEnlztWSTGoLp6kJslZoMOfZBhcgtXa8esRsN8s1n7PJOck/a8owKbNbPEEpMpM0KWQyHCt2KCV9hTUGN9cDLmP6YpyzFrb3vnbfKUcD6djocDHhruyYqZzZRpO3MiMCM6BCjSN1UGijBWBZ0hAbJRgf8W4Rpu0gEbhkN4QiPyVmO4k7F/h9OO+TDfWa8x4yOKVxezdfvDF9/trDr/8b/3pfCFwXDDqz08fzF99lF8LBi6hhI6eVvwxWjGIaIc0Q7y+WjebzMHq00Xy85k1OVzOuMjXhfaCv6p+0ubXm0fFCaVJ5hpgtB4x0xVRR/aN85XYgDsGg4VFKmbABAPUhpDI4z86tQ2dhlBYltuNlGtbC6lkBhgSZgYn8E8gKzlJaIgphRpqhqwMCUsViT3ilfbTOUNu4rA6D0gO4XB4QKgB+/JimCTjPaEHYxx8XyMs52YYCV7nozgZIBB2DxWLESWpNOszkWdDwWwGHVWux7Nb3nNUIlT3f0EK86reKK55M0ZqsAmeRoqq4tB1fDrKafdrNZ8Hjpu8D9tmtViMqFo5joeV/pMD0aw/pY1ThiahFR031K4lIcd7EXCq+A1HHhjcgUq+LhaeIkFTLl5VWzIpQl+2SZpJ2dmwCJLEntyReUiJSopQkWCUXZrSPgrRutaEIDBjFyBudLwGOy5fkMIoWVP0wiM7If/oAHP1Vtr2gFyJZsl8J7sNGxL+rb3jFxhLiKLIq8LXkrLzTM7EyDMseLWiJL3ChNjJEGewQx8bpvVvPDwlfuQmBbx+I1NquFU7ruXL5985q3Vw7jTbrMNNMaFYmPd6vfYuz9hjnUWlt3DzopQy80xSAEKYJwohSkT1SUfVp7AhmCJoRKmSvFre2x6ZvLEI0nOGORtoi4frwkp/DRkIkUpZuO36LlQPxmKsbzd2O/1htPh8/pHrUHr8aNrnEsDffz+B/O7l2Fy5hLvDHJGw/PhjN/UCFcJWyTuJ4ubfosaTKeTdjc8GEWC46sOoi6/71QX8WNEyYPC/mzITYnm8WbTxCRaS+PDUaFOoMJLE8f7VpBKVtGrIsFenYchJgs7qrmSFcbTFMFIlqlYTgxAZpYr8iBApgzgimTBJtDY0Z5LYJQJALF4ZTmlYk/IyEKAMR4PJUk/QX0pSE9WAvtqqqZgqrCbOgDk4zS46iyzbzXzwkhYbN7udg8vFb6O/oG60uWrpK5SuTfNal/UMSzOsW5sjsU9h0kVVQi/8lgF382rEoG7LO7iNSrlYWysWlQwSJjzj9Pkw3uUYZv/MbXe7cEaDAbassAwefXmo9vvPttp3ofwCE9zksgwktAq9fAVJABDHgUg2aLkICO6lIxSA4Gy2ECq3i1NyGkAlsgtAOhFiAHA0ZYyY4z9NO3I9+pMuznEl2aNobS627MWwm5IhBMAJNnA8KrP1ECjJFMpBdAVv516I9y8hHEU+9aQ8JdaY6GNsFnPWL2yAFy4F+MVY0hTjbKUuZhvtmo/t6zxLtxYBzHt+1AsCCxqF/CMg1y9UgYUGPV7i83s8xknP7XWYRFrMp/N2ffF47iH+1sMZgAKc6ew1KS0mE4muCJ4INxu1pxxwDSIEQXrmJbxhJG6chxzt3NGrflkMtq7/GmGH1TUfW/OFOsCMhjj/oRJH7jdJdSSHHHQ7XZevrzTun3UW5uMRs/f/2A5HmJMoIsJKDwWHIfHgjzu3A54m/B7OVlecnp/o87XvNvjUf/86qjA2Cr5afzLoUXPRg+1y5ts5S28aXcai3DxLSJ68JYoBRYNV5sxlLBnlQoDO+qAiUXYAZQtojd8iN2YZIxCFJh44Gpk5QAVV91luRlTzqVSI8YKtGuUAOk9U1IXzy7tZkwV7TIbSvSSUGrs0Svh4uWYOkMGCW6yHfZ0xu9+4jy2SDLneJWlHdPCuJJYYkXFgCzfTLPIdK/q0zvalGd6PCu8rTXDY4TJbBw+xbBZryoWti1hk+oWZJSsNVfNUH2kx2AJk0v+zcNhV6ETxB+TRl8E7CZY+Bcizt37zJff/dV/8V/89X/3L++/z+6NnAQlrhd9TnHcfFdSmstSgsyNBqNHEcmCSfiSqDXGXABdSMstMiQ0NB5ZEXsW8Z6s3VQcBajzyB6M8a4IrtkOTwdlYjaiPPtBFk8AIxN0CUEOq9xaqcIAkUVb0pbyEl5Rey47SHxCkhkGoNc8g+WQkT2t7lSZ4c+0S5Gvl8Folz2GgfiDVv3z8/WL1fplvaxPGUsCcLdg7MZyGT9a3y57k/k9mhgWwlC+4pRAxoiwiFV7uL1tdc6/8Q//wN52aosoWYv1b7/1+I1HT3gix8t3V5e8p8xJnOFWuvVfGNHIhqugTWY7WQq/Zjf/CQVVSLH1QwRIk7LkUb/Dbgqhwpk8U8R0Sl989Gzwve9yDk+Qs034KDwWjN8W1GNBWbQt52/9xXjx5jnTxNp0NuNMQTa0zmZ7Qhzxp+DOA7TsTWPxYjxq91nIzEm0IQ1EgaYLZElGB2xxaEgPQKDJ7gnTBeQowgGy7DFQQ09Hha6QActab0Mue0KQm5UohGe1Z+mTYQcCjJcEisjKV1nGXIxVRNpPYIcRLiyX8cD8+jV/5ioVMjBuW7hRay63H1ZX6WrBD7c1E46wtHPolKxcLXgj+6ZwLmUeMlQqJH6dseUgzrGY93XPupzjID+rvMo1zt7ddGjBmzdudulE8KiUpTGaVAtajJBxTHQUDgxbHGg/MGqDTr/7C1/5levPvPEzv/ILH//jt88eXW2Y17Xuee+9f/N388neSQ1O1AZEYG5YZykNg2olMLDT8FytFPNIVaIBFtxakdLke0DGb83ZtB9ZDDAy4KIKQvkq2r0WUweAWIVLYolo0GhKs863Ii8wF0a7nJ9b6pEYgyUyhsfKUX94EKBlKuSQoD9q5QAhmih4RRVh2QO7NGIJjLKBa1FjeeHQwB7sdg3tCcphz45280/ChXCqmVXxjXpYx2Ivd8mzwkSUz1JrGg6loSHWq+bZinM7+YEVl81D9DC94LN6vFA4HQ15fBfI3EEPGPwrv/Rzn3/3s4xTzG6gfxhA1jg/79uMCYd6r6I9NHD0lapDlsoFxLZ627/e0ggHzpAgCNvV42d9Ahw9Q2Dd3t+DbI+ngw+/DVbEunLq8Gg25xBR91hwO8g6uofp6rq7Yr1txtGj49H55Q2H1wdtn6ZDHuAH//l8OF4SL5ubTRLMuJFI4ModGoBS4CpdzGsWPezqdCFsK7cOGiWKmIcdIUiLER1mflWS1w492erarbLoxQCuYLhKr2CuoYvFHzBZe0y72Esos7xZ7Vl2tRe8sg3AuEwgRSLLFhmNgNA/t4mFm1wXM+HAhTxL5PEZc46tM7ZspX/bLfa253ThUqZsYZDA+lr3pj77uN7sUr2jZSY7U+uLcI+Ltu08kCgOuyQYSMMuDOaXoe4JAdn0oNHx/fBv/4f/5Qv/+b9/+52Pl7PFt77+/4qHKdcv/df/0Xf+3XvlE6wi74JXylogjA8UhWARZTmeuKlyX9+ak3qEt1f4AAul6iTlurKlYsziq2AU8fQ6iBM5MobrQTkwJjSITTAVs7JHlkgsBig7iu+dSQ678UwFwKu0HTGABK65FsoeFckMYAEYhl4Y8V6V1s+VD6NN0XIJEiSqvUmUEjwIIQEf64f3mrUvMESt1qfNsVCH8VS/MW3NxnP2H7Awzk53kGyAGtwNO1fXNQ4jBjcd9TlW7OKM7VBUAJ5er/PW08fMmbF/OuXJ/urR9eVgOH54GF5e8JaOpkCh9nkRmAYlNErxprnNbHHMl5gCKpcIDA1IgNcbo4fpk3nrssN8dy8SpsWPBYNxLtE0z0aLz16FBX92mHam426Hs5s/PbLB+agYPG83Z5Nh8yocPQqVRmaaLMsBklLICDNKCcJcsiyjMBCrs4hdijyx9S9UQKwrQNK5QtjHn3wJ3ovKwqYddkk+yA4ZirwoWSXMUdW3WiCwqPpeUQKLHXswXtsbgHEg+KwbE16ypl0SRJCtPqWel9r7bArzS4lFsc1zQzYWpOXZfFg02r6yly09HoOB64s3+g8vBu0jv1KBJfzb07jYq/teUZKh4mElL5w8ENe0+LPj3a2JGddsPGUi9bO/9ovP3//+Z6+xNDzOZCnLJltG6QGkk2hvGpgrRWRpSNEAkCjyLFkYRZBl8dUxnl2dATNy2XMDEWQ2znLZc5HoKqkjpUriBfbWmj2vYoAXaFpyTQW5NWfjH7LW25FDMkuA9eE/AMiYVHEzzoqFnqY3rixBOQYPMFgg38iApZErqVyyaMRiEo4CkM9gp0FfjEiz5EVJFwYDGB5G2EsCwChzgX9qrqvMsWgjmZQIkUlnzauH57drNu53+c5c+KwQs5blgnPOV2ErArsI5tNf/MI7+JkfXuZoWpXpWf/scjJ9wf53JPe6ncl09uzF7aObyzDH2qbN5IhJkpsqxZnRpndHf+x8khiZm2UnWLPd42hQeAe3t/3xuFVrrBs7ISiNjwV3bwsSvLmiDDlZrEezJV9cDd/PmY4vu6cd2YANBxSZxp8YgArzRuHzwX27f16lUoSGugx9n8i0cawKr2hgJ6ph1/4/60EA5V1e7KJBNb0PY+DiWl27qdBEB14w6mJYRRZY0srtUfXFXl07MknQ29hrmESIOj5I2YMi6ZLzQYqAq9UokZDNSoLwZj8GgBdyF/3hKdwulxVlmM1sgynWoa/rHLO33cSXAyitXdycDx8eWv0KU7ytsGT5ihGvseREvQPTlS335m9w5iIcjMMEK860wpexcyZYkLd7nff+7f8zeHYrVjayvvXFd7w4WpHkMWoS2qZ663p2wUTJUezQK4kdkzCDQFEWmKTwzer6hDDYk3gGRSBlzCdtD4qSeskewxsAmUxKHI73hMFvbE2V9+BiRpWtV6JLNc0iEwzSlIQHxhJdpS4xKWEvycKYzJBKiK0I1cAKG+povwhBqr2qhxAGIAcuE34UEOdYYc/7KE6isg5Xk2FPkQrq8vbV50fzwUPru5znjnYwVG84mtxcnrF3AMH3t7dPnr7pDWPJazSeLJYvWZvk0c/mHkUt1sv33vvg+pov6njy1wwzKF5eXmLp/ccfTb//Ya+xGkwWF3z+JiZmSKP4tiCbyeLbghVM4VYQF7He4WRVdsRzHvOYIxvOK74l/Zqr92Mojkc9F/PxaNE9aoFB3Zag1USnqBdDEGLShZSi2t6JUU+EvSjIcz0KsZ/nkS0yIMsuk2DBKrMfaRKYpc/FSB0SsJ/rUQYgkE5NAsCA8PsnDj66Slq5QCs92QBzl/yP6oDZ9jZGtEqrUrDFxE+w+L7hdpq1lbMtZ7wNK+6WfY0AJ6D2z88n02GzvTdFKVKBGcnyFcazS37JR82UMP6YET3UPW6HX/P2T5HWcjyhQIsmNCfc27wEhZHHAINU8ngw0s6VpLgUgUWJp68Im9hy+o1BboAwepqKPpnrHKMpBxBeTpBbaiYB0ArQ4BZgrjgk+CimXF6PxHImVRpWYK84qUokMEAgx0xSqYzRVcb4VvMSZL/HHAVTX1ohNwwwDFHYYFdJxh5rNRgx4OQWRBS8bPCvODRjkhxldXy/VWPP+8t6jWMJ1HZWVAXAAMi67e4IJ/AmDCkoaIS3D/h4DnVnNWgwmD+60SBuMml33lHg8JjEdcyu7h8GZ/1eu33iWGEqigAOCF3MF3cffnv58EL2RzNDAOttwZebtwUrDZd2S1isaw+T5VWvyWA3nk6uur1XHKCK7P+JxJ+3G8v5uN5/rHlP9ToS/yTaDm9zFWzstC8JJFdDegC8+g69GHaySUB64lxY9DIAgmCNe3KiHidGhPMKBUszhJqnUSkGUAVIKOKaqyuLhNIMQAIEkpClNIyZpPrKaSg1PAJfxQAUHeVDiKU62r+5H/GbJWz6ruqGTeWCN+IZB1rR8c8NP4HlK/MoK0TsfeouVzP/tG5XvA/xJvQ+gjEzRZyWZ6aVbnI/TRBcNEk2RqtII55IUBLNNK2CkixImseng9Ik5yBZEQGqFYjBIHcbBsYM4yo36TQnmPASIBq1ZxiWyDYzCe1gvA0qKhHLcMYYKhY8wAEcOuauhMWKck2SG80kAKOvAmCJNUQV+iwN7CCxzRfJDITnOsQjccgr3okVxoolWSJH5Volz3svsef952e1ZePEPe+IYjLF68CLuMQdfnfy8cF4oBRHKvC7kh0C9y/vHj994v0jeM9lEYUXr68u2JLFFimeG2ZZXh0zehiMPvygPt99AIfvN49mYRPEy+FsFA4RzYyAWa2sHLSaHU566Hb4siH/+J4YX19afv996su0kd3u/YsrGsW7OivmU4x54Lw2uxsNzq4f4TSm3obPBXRLTjodjOChJ8gV57m8uUh1HwTSGSE4tuFiLwjaYUcIWQzgSmK8q82nzeWsvVp0G+F91VtOvT1nDXUvyQBQjCdIiDXYLmnsEeZnUOSrEDWHC6KUBAsv2xJBiQFQ5pIlXJaF3gxQFXIlbM3Z6/pGyUqOCYTy2AmW8Wo/eHh2Fp8b8khOgWEErx1odVqLMROsA4KZRedYQkWZdb+OedZmkztRiE9LbGl2Wu1e93t//0ERDVaW/GrPbUUThWoS0aCAMPxRAAYQf9VZZBL0IW7ilYkFv+N1e5ZJRwmsrrqIUiZRETMJMwTLHrsWSQCfhEuSFaMmVUgjS339SpVs8BUXRmZADyCrzBgBkqzrUQOBZwSGV0Nqgk+yqpesMtugwRhqR6WO+uUNl5dPHGJDSTx7YoMxgyTDuGKD3Cj/HOWTf2zVfv7QGaSmNwuEQ/Ua7VkrnC/K9k0uPO2bL+asQoEJi1jDwWLBp5Qzi1KxL2QFXpz3RyMOpZqcnRWeMJzlqoIZ3z/U7m7ZgO8bAI89jNmsv+ZNaDaHZeXgZdzbYSsgX2XlN8FZn6lVu8M7cOFeaPTr87Nn9y8bkweadzqbduZT1u3o40ZQAcCuncAK9D85JLiyN3m4rzX4jBIvCBPATLNoGmIbJ3s/U2dKSUk/Ep4rLLrFHDvCI1DdkOZGo7RkXRzN2VysFF7opTFYSxDMJ835pLde8iXQgImvfTH/vlnNbsdDvn9uvB4wCaqCxHqCIliOslKyJNWIq+EPAuY0OUEGVJcApVUBCbLB2E2aYXb2hK60tZNtSQdnKzvOfEjPDZf1dbvRXTXCJ7Bohu1lA+dzHo/lSD8mcwf52u7sKyMOsbH3RS4rORoIIywetyaUgOV88eYXPnv19FHIEoet5s3bT/7v//VfE7DslkiIIaHZCGXkBMvyEo1nKa88SMiKzaUsQqI6kSBjuApIGGUPSCxXUfUnO4koy+YqslIB0RxF1Z5h2AOBeUnZhLdKNrHBskw4GKoklpHCT6oQK6tETCmehJKs6HERgOCDNsD7iq1pErxVsk3aZYxdc006ygYvHGmSTDxbbHgVZlWWS47iSsIA5AB43uowc6xfqDzHSkxiI+Ks0V7Vw3wi3J/olRwZWK+zisPDPlbtuds83N49evJGdXuYWnHcw9398Poq/z5UXZRRTh4G61uehe5cFG6Ci+X9eHY7YY4bJkwibnXaYVGKg957PY6bZ5mKKC0ZcMTFMHn59O3BtwatOvPL1ZTqX3Fkw96CtBnzKZD1wFm7MRk/1Ho0/QxvM83iylY2jQ9Z+iJM7BCnv2+IWDRyRbvfn2Tq1NHUbQ0JEDC8UbuYtlaLTm21+TZx5iYF/no1uZvwlb38A8AkSlM9bNBMi0ohXuqsA1pWxngaFXFlZIAegtxSI8sCcgK82FBFglklYl31y7OKBH8vjzNSj8haVwkTG2QxaUz6dXP1dg4Xb0NBCsrifxHGaoeqZsJ8xvFcTOAOUDPC4IegZTeRVI4VLBr3APuGtPRP+EVLoqW5GuXtd57xz7IAH/xf3+DKFOQrX/nK1772Ncwyy2AE1s1bUeUZP2lYZssGrhjgNcqeilYlvF7OsTCWkOAyQBKkQvbg86xY3ZWz+OqYpBaMjMIwKNj5+2YbRcAi4KoOD0ZDSXWlCaXkJ8iiLMRKEACIDD8IMKuK2HPxVIT6Ik1Vy6UpRyKBodxGNCNGoE+GzwLwaiCGPltaBfONMMfCIbuzGzaein+8BJmk5hO+vuII4xrvflILlnvYdTmaLxrLWf+M6RETt/Xo4eHq5kZ+NgO37veydzAndkJ/ezfgJFJG+F3BqRDHyxN0xs2QxtuCPBbk24L8AJjN+S517fL6+jOf+8yjR2G9jbmXXnI0loMA07LR1WO+ZUgbTOaLNkc2hKNYDjzwOij2p4fgprV+dn+rJ2gMJoQeDuRGwGqWekd1VxClDCxI4H7BlXAllbMbsZHBghzdfaKAHAkMZMyrmotpd828as0abi3cRssilg8CXC7GD9NGq3tgjdYMoGdhHsYIoytZM7UIsFGluh+8KFRkJUgv9ihBL0yRixIJEMt+r8g7jFNGD85X9njzMmiJd5b1bDrjh1J2tJHNrJqF/4rS5sYa7haQhAt1DsSbWRmc1Zav6n75CgleJY8I9/QnxXtlZZnwK1BT2vPz842d27bJ5fvqV79KYOEI612MuUeuuqeCkUDrpliX30TNxqHpXVOtgj3lQpy8HBAVm9bNKcxHJVZBhDN1TwVGGulYk6wJ8lVWwJpVEvX48WOYgDGmolWirKCqkIRa4wpfdxljthmnWQWx10trIsFizOirA/Rk2uLgTFEmIZYglJFSgTHwgjzqUWNiHhLoLFx91RKa3Kw56put+ruLWrNRu4s/tJBDSnyVL2EVvmmznAY3so2XQxUYMfhWIMuYnfDlnPDNnIe7u5sYHibBe8CQHuAJAytYDw8jFrRyH9554oMwD5+Y68XBsRbfFgxfbl7WW+yLgJddFJ//4s8/fevNOJkLoydfNeRjhrwVyEd+Dgo3gss337od3LL7DBWMvOfse28SWmUDjvF+CuD8y/n0YdZtdcIOPMKPWTsA0ywSvePYDoIE9WuNlgQzCYEW8xaEIdYLol0skgCNBHLsY23Og/FppxYeAjKJi7Gl+Drckt0m65yDAWO4+xp61ioERZM3Dx+xgSQyWXVYU6Qws+HV4COxFdnhQi/EyPEGHBzxvHxvg4SAwQyukPkZ1Wby4pmPhBFstgV4vvcx5urCZJvuZtR+xxhBOvl8GU4B3OELIJavwhZ4J0A8QsTXCOOYW8BeER1+5dO6UHPldwkAFVAdikTAYkUeNuSxgIRwVTJ2srJEV2t4IzAA41/lZoycIglbo0KVgU2jGeatKhJiXK8LkCXeNuwhqytd5ai+mlgF78kVMZOY3NAisgf5ACQA765Er89CrDp65LEwQuQKiTLbTI5M4krKjR/wVWZpJlAAXIbh9sMcq+gmZCYllQ0GbUe6f6rVvnj8nnfeIGShYTEK2tf1xmxde9xpr+YLBpR1+Pxz+HTM6OGe9SHaOli7M9lszwcw9erq/P5hxK4nPuScT1QN2+l1ZvwqwZrwWDB8W7DBq9Wxl13cXLFwFaZE06lWzhj2Uc1GEI5IJUCZKVacJOGB9qOn6+ffpfeGRSyObOifj0aVPmwf64Frdh2/Ws1+oqg4mXbMPrb25uhR1U3b3rll8NyQG+dRv7Et7BFF+NE+APodktsNi7zJYBLoWa7mIPHpMM6rQoic3F69ZmM1vZ+1Htscy/fEXDNspKUi+nVdcYgzaahQrRms1BkTCRocbAJEtsgqipDA1awyLeWA2QCvKWKosFEhzFdfoRdgD7+KvA3ETzvONzyyHDZjIpnLRRAVfGu11uD9nsMTI6oZz76iTpHZCdt09WQFq9yy4tLwEz8b06gvZtkroTltWrpXkJdBrBKFADQqAM2pqwVNHusBHNIOUBQXi5dOzl1Q0YklZh58ZJOILxb2OktkGFclWQIsvxW5C1ON5jRrVP0SXuRTqoYTbMRmFVHxik4jLI+d3JhhZhXNqoEbC7EtG+qynCIA40qqQ1QUMRqlBxI5GIAZSACfFJm7ZIAX4uF/aNW+uP+s0Jfmw8t6+6I9XsVBrc73cab1Ro84Zp87s5k2jw+ZY61qg/v760dxq2WUkpiXLzliry7P2PM+XCzPX2HbOyG0bncmw4cXvC244H2x8AOPu+X1GzfvfO5dZloPDwP8xp4fIoF7OUNF+CZHvAcwt2PJmo2FTLxK7FTR1RtPnt+9aC+mEE+nk3a3r/5+kPFTAnngpl37ePjQvrhKHMK8ikTr+F3wnkYRpXu24bNhD5mNveV9QUKChLi5qruas7kqvsjBoHT4zmo2FAFnzLEGL2dn17xfUUSTi9cQoeDkyuhHyqUsQopertDoKkzWXUUSoDQzaBTIghHHmOElhAnV9r76KjvcMSCZXWEYoyKm0uhFdfH4/R7ucluQTVecdtfqIq1SDLSadqJ1rGFmmrWZeHkjToKPi6FEhcLII8GQ5WoADQbMFbyuuFuAGCnF117IsbDJL2eETAkygMQwMLS3N6xc2mss3ZgV/9CvbKBBRa7HDqpG0kGaKgTeMKOXSVxJJV2XIuqi3m68RwHIL6IvN8wHmPrwQTMwFa5cv8HLUEVRiT1mumnH9wAAIABJREFUpwyDUqOb4YVhBl9FiHF54B9a6y+G5afNs0JflA8vCaTaYh2e5vCTllfx1AVjRVa8Lc1TQuo0ur+/uLqqOMwlirTt/f5hyJaspKh6tnV58exu1Ly4ecr2+36P0yXul3f9Tl/rWLwYyP2bqZWGY2aHTIwQzjSLET+cD8gq3XI5nx/oubRv/8lnZt/7FqPvdLFqjwf9ixtkntwc1Sv4k0FJc1zXZvezaauTc2QGniQRRUyzcGkS5/QsUrmrKUUCvrLRL7fP8hAwbq6a9VZz1ikI7Hg/rXRPrd4QF636aDpYXIQVu1wzSkRREbEQchoEyJbUXSOGrhILMe4yIRSBB1OiNFtk/sQMuTS0wfFCdhOsGgc2FA7IWQMMg9Ls7EqlnLzHCytGmQUy+hzCgTCGtat6bTGLH2DO+yagF45LbYVyi89Ms8KAGU6vf8V0ygRLTa6Ww33Kmh2YRarYlvBCbLynAVhi3QCBlhLJyhplVldCnyUox6C3hMCsggYYXbqKhSwe40pnKLGwRL4VSbJlDwIyGx8KED1Z7mQySdeDchKCY81I2JXFFdxcuXrbKEI4qYphovSuzlVUjmToTxY8EGjJ80odGN0tfJH6Sxbvacph1rG+FH+JaD9WLjFWoYiRvbVuzGv3HA3Imw3Tbm8yHkJPV8NCWprTZNv8QOerFrUln5W4urkOvTDEb1kMZzXy8A51vFrIghaqswQHMeeXF+988ZJDFqC8n9zfN1/OxrPrxo0YOYeBY06JAbJYzmuMLFnxCiEfWAwf6+HZZ4O5Y0j8gMW3JWPJ+fX15PaiMRkgZ8qkbT7ttNsABy38lGDTFq3woHDV7qihFf+0vvePPqjF3ixKT9gFjyiNfophsuovq+WivmBz1ayzXvAIOUy+D91EvVUnwGf11d3ds+XFo82EvnSSlCuf0YlEEcGJN4g6ZYG908CTisZ84WGRkCjyuJmWlGKGubRIiAzjCjEmcUV7MC5+PTQ+eAV3XFqu+K9wuyS9uVewFSQzJ3AIB8qaYCEfWuXz9vzw4gPMPPfjt1f4UZxvLavhBWWRgdUsVDRe0zlY+SbESQBGFNixaQCi39qvSE45nlYviq0SRhmmKwFgEQxLCIhtKJdISIoQ9YoVQSBCUE2NACwrJFmKuKJFAPAPOGGJJa8ae0hZw7hHn9A0XjIy8UYVx2KY+U0SMAlkNC3HNq/lIEwtkunRQRYj8B7jtmEOKTdMxpsQAfgBacSqCUkIqmT/XnMsTgoNURbOYLTgJyur6JWTyXg2HbfOVpPZw+2z70x5016/PuMAQoQOR4P25RUTLAaTYVzE2kyvCoakEtswgdkVc6zLizM2j5dQFhXZODhfzdft5eXjs/nL3ZI291MFktip43QynTfm4aSG8HJMiBMSm9/jFv7C1wyhOX/69uj9b/DTNB7ZMDy/esxGrirxGb13vGuKKvxji79pN56PB+2r8EzZgi1bG32SKOyB51XQ7ZchsmQlGBoldJPlImyumo27tWU4YSFsrjolwEoUlRRdt2ovB7fzixsix3rZUZ0XRhvWQojGtw6RoFljieqkCFdLL0Lo8pTiH1JCVp41FkySENEj3ABfO2ZGk9V43po2OuGo4uaq0rM8bwPSaEaPSWBGdn4w6eeTFe1Pn8pyxsLzQRxtWSq0plsvavH4eIWNFYbbNNvbd/kcKGzMos7mmRySyqjwFiHRk0tv7Zpb+uo34FyxhlR0kgVIqkqW5CPMR4ZJqA4ce9sz22SeFIHEJBnGtbr210uZbVAzBuAVHXWUqXiDILFmwj+WvByZJ9d5vGAMRsixQ1IiByHlTSzD/LgjCdhGgp2ksRIgEV49Cy9mIMd8UoVXDYptGIkx367XPzdb9Zr1lxzKPpvOWYNhIYo97SH2lpwpxcjAlIXxZjlv1pvrZm0edqjwcCW8N6euVF8veBWPY4HY7c6PvgWLWN03ruMM4pRpBIbdXF/c3Q/6nPX+CtveW/XWdDzjDXtOPa7VNjvDeBDJhvSLi72nkDhwMp4wpUIf/sEt2MBULCxttXjxM3//O88jRhePaoMXSGe3e2c64tz3cXwnrkpDfEpDXF0up7fDQfvQWQb46rRd8KG/zWccs95Zzbq8j/EDn1f5Vn7UWr8Y3NYvw1n24IkxDRGEH8lTqlRDhOGpCmRcDSOyEiGeMgsjSiMhiiQEwxL5WS4p9bbBQqI6Sl4IU6Iph6U0xnQPPmYayJjVMmyxGH5MQmb57ErCeEq4WZ9OhTunOTClinl8Yj/SPEE8Pj5MleJmgs0e/eLlK88aBtBXP6kB74UD3BU9XvxBuPx2dZBdBAhBO9dceoqy0ZmlfF2W8EsrEU7wEZQgATCGKzCArlnbXoslpg6gJMk2meTJMI9Eg77ijEQyVXEvvwrsbcMnJsRsqyLE08BoQjy+OkxjMR5JCG2qZvXsqICm3GleiOfNwlLENVtE02CJXJGUQk8RHsM8X2X0Epzj0ZAHJXyfkJnS7Xr11rrGm4UsQHEDMjnTxozp0lmtDwYsawe1cMImOwmIZOYf/JwMmiklOx4NLsMi1hLKwd3do8dXiNrJMqGVAb6owxej56PTt713m93laN1oraaD0fpy0+PwBveoXCt4JXu0GLMwoFkddacGVJRHiMFp85xzW66evnU7vNORDZPJ6CIc2fBKa4q5hv0EI7utRnfysKj8qRNCl0RgcwwQwa8jHrL+ob34fE0rfL5m3g2xGt9aO/KBdVbsK2IIu5vm6uXgrnlxjSj6joYIYoZpQehLLjKBqYXH5GqHwITgFmjKh51cISgiUaQBFgDfmurQC8LMdNebKYIgV5SE8JBtshxPagNOilvV47yKmUk8yldcDd49iZ/eKhLi8dx/ZJ5H5sLUHcPCdtFdcp3dgbvyfSg+Hwxbr/bRuxxbCcJcj/cLW+FrWoeWrzaMTMvYgrCTcjyEB3D7gS/kFIml8aw5i2gMnzS28RIc8q9RngD4MDqNHfMIdEW5SaN2JPmooljjrUhfhUyuSyRjGLzltsFYMcSLzAhxX/oAF6tkXiLB+w2vmm8TsupZLDlBCLaRvBYeWGj7rdraFwFjduLnhIAsjBWfNpZIQwjHkSMN80SmK+3FrYjD1plIhbWo+PuLFSlOYWeoxLbdIFSvPeP7HuvGqL7yPwvq7FyfreyutJov4eEHaS8sLHXa3bPbj0fEThh4643JfHXG8e64iIFgubi/f3h0c2W82bpXwbBPfTqbc0rW5WXZ3tVEFNUXptfpvdF469mzj2/6174taDiOBqUWCaOytGk43CtOsxAVp1ksyzd45Z5f0cwyTT70YS726M31i+/hg+l82Z4Me/2L4XCUK/lTZK4HrrvNj4f3jcvNPrlcmgRJzJMIeHbBU8QzRDVK2FwV5lXzMzZXhd9ibK7a67OJnB9kVkGJSY8ai5ejh85leFZoBlAdqsAtDAw9l2RFFQGb8WiaFUK3eA5UJBMWrLIJHzCYY0W9nDyf94ar9m69iulZopFlIIakBJmbjZ6pRCl2VjrjVvf92cx+LleRkGxvz1qbS79kC8JszvuDlIamVHNy3YCC4hAYG/q0Tf1STSswZ2VJ/pRN7poY+ToE02LySINz25vORkucEJcmtjqAaf5eS1a8GEbCBq4nBHd1A8opsc28B0zCHliCcScZBhdCypUeLEWIHIUoM89zQSDXeWQWNm9ni6pjZAzXhAXhMi/BQ0kiwDwea6E/OeTYRc3vH2QenO2hBe2opqdArLYwP2AAUwJuLSyPYyNOZF2KfzzFIy6JzfDzXSnkgbbZDXbz57a+Yo7FQ7/Z9pcWzwPr7Bqdbhg4vT1MsFbLNvjwKTbmVoTW6rrffKffeJjWby6XHz60wjfna7Xbj55NRuO33n66r+ToHKtHTNp4XHh1eWH1KJdinoHsyaPHj28e7TwQOZF5d/9QNMEKJGH/Oy9qL5g+4XDqyH2HsGU1kG+X8yPZv2Z49eTNcGTDcsYQyLmjnbwjG0L0MAPeqwCI/IaINv4UXfDCDXOOyZivFx1VbSJ/NBrR3OyeW40H6+mo91pPWDjKmHJiP9Bg8M16dvtw1zy7SLg0wtDBY9SdeBORELQgBPmaIeGr9WzCIL5qdRhETC9kyYhHqMJiQhhzoOFa8Y42X86mtSEDUdjDmJlX7fSGcwu8V6xkD8AMet8e6lCGb2/Dgs0bwsNK9iTSu6v0S6Y78XTi8IorP5JD/459fE+WyzDp4mBmh6gKIjfsxojjPzxHiMAFSjQenMDeQgKCVNWK+PNdMVGdJUvpw2hr3aadyIoeI0nYxjUrwWiKil4XHnuSG61Jjp7bmAdNtLfQVOMqAZBg1S8h80W55uFeGVOxr3qBBsNLpY6KDeM1AHZ6BaKSemFeecuaBAAoGcKQAJfHG1zut4fF9/qLN5q9VWd57gMPdiqIZN8viG0wdOYJhzgt+GpxWJSi54Xv7tk2qW2IBgOIVp81m0qBOMcKv79sjnX99GLywbRVi6tdPBMI38hRZUN3oO7n7VU3TBNrfEGn217/Z+/Wv/5BYzILc7vJYDgcjFj7KdV5uDBuez+/vXvg+IYTtr3vT2s26uJ+9vDORIl62peFLpbFWa5DLz2e+pJiyzQXfOyaFQK+Wcvi1pufmX/vfWSxE20yHpxd8IFC5uLBUfx/25iOzjgKvPPGXdi8UaLxJ7WIwYiTPAgRVvx4ox0f1adjDg6y+nbw4Ww450Hh3sMdK98B+J9W40rr1BZzHgLyWUA+YhMcG1z7o+je7OhABS45gXTcaPVzlmapWqgdd9M4E7LszgsVIAYfBg146/yQ43Cv6agTfhbVHsb3zSefw4GSUT7iSQiUMezDzb3ImDCvqo/nzfH6jBcIICybCTBe8msF4bIh98rEghkMgZNbWoLEQuZY4dDRMvH5AmLtwvuD+cVbLGRMQZVj0yq3km1J4V9YwnuERyZchCJfj9StNIySlwwGTiV6Cz8WfekJMAKpwGmM3jwC2u79CMTCE8Qi5NWneqqLbONKVlero2zjapgfCqDBrqJ5/z9777Ugya0s2pVLV7a7p4czJLc9Zx93X/Qd+iPpUd+kF/2D9Kx77znb0cxwTLtyaSqrKrUCyESh0pTp7iFnuAUOq5FIIBAIBIDIQCCge/wRJLWbRnEofCIQiGYwtIEY6pnutt+eHtdyT2132/21aa0YJ253bzLly3Aev399/XodJwPvhUaJUkQAiL05gpTs7okURWkU12JSDi9IowyKsIbijjyB109jiYd2diEHinMZK16sugF3ELZS9jO97Xq1cVDsm1ra7dfDrO9n/89fsuvB+r+m7X9/kb4cdb+/EfsMGnJ/e3f96iURg+/jIjT58mLE0ULfF6cKtUCohXpYfE+prt8P5gucQZRVCFXIcAg7ULAcjux5C3CQoQccrofe4v+dVWAznFzc3t92kiXCZ5LgZyshszbKJv/UX/cGPacffAzDV3J13tnzbBWrzzmFzpapkwsruTyEQwOOJ1ZsCOCwLZwlqF8gnuJDY7uce8rQjaSx27lfiQMzhrbpQT14bYoxEjbRopvKtYC5hwUKf65i6wG+B/nxJpol7Z7XqLfTEwtEgP1oJaxoKMPjgQAN2b7qpLH4TUXyZH1sI3aIfVJ3m8WLuVMn2B0ASL1VZKhkvU2NXKVnpdOYWxOmkTxUJ4LFY+cNxqDyq36gQfWvOKuDvV79uyIVGtrm9lAVOtBHxfvKX2kl//PvCORSSeUsYlOikXx223QhTgCDUmH9CFpNr2rzNyVSae0ip/PLlKaCedQRECMCAgpHiZPrABxd6ugvg+FckZF6TQ8R11VoSmrqaVSPVl2bAYBPKQ5MIBDAh1+7Ck03TUA7vSkOa54uGzUBIZ16wcRuFI+agFUMNYPZmQ3kZ0EG+LVsDCa8Unhu5+nNZDLxtp5BEnySOMBEd/XQbV/M7z5yHrC9SblIW7b2xFJKLUVmsNNc0cTk5NeDbq8v8kbB0mQ7NjG1g65YD2zqJoV2+6HdmqiPreW2Nb2bfvX65SpK1t2tf+mFb5hO0JzJkGEXgSXT73H3bWvgtv6P/9X93/4v9s5S3+GYnniHAiVng7r+2hD8iRFuLcTbe7jZYJtlQOHLKpwvQYaPSioNRkMurjFvmyLCJ5qKTTn205kW4F7jmFS6SbGcK2IWt69uxGXDD38Rlw0bDiQuh5Mr2beFAdhG5doVvu35uL/u/PBm/tveuK7n9uv7op4gO0I3BkS40UfwRKjCTT77UIxJ2lHbWO6AHL642l5exsvFejZtxyG2e0ioG3/oKYNCSCdgVZAIB7vS2OVy8dYW0UStgnXc+znR7Sh/YSU2TMNFCxlrx8/VFmgikK5nYKgBK1azCUuznKHexvOFmPaL39QMX04YD1gucMmF4NUbjQ3YKqgDKbtS7dZ9632rz965ZK/t5SY4oLrG2rOhDA3ks+XoJNYEnHRmA0gEuQ7kqXslQqQmY91b0shQo1RDiaWZtlzKnofl9GFDg8vF5BlLDLi/+kY0QITqi9oU1punCzRQhC7hVwcqImJXx1sCnMGvnV6Kg8zpmJfK2o/UTl12io7n+CncbAwVdoIe2UoYPhc+VWRqUwyGNnoGq6MErIX5vIlGQOGD2Cay7l+D6omVUoqWlmh+YlmTDTSMoAY0RjVB4wlv84rDMh9vo1Z3FM4XqKP4+tFKqaS3wIp8tbgZXQySzbQrIhZ8i4RUO13BuntcLTkllBKFhyTtEKfLe2/ib+7lAsEib2ERocbItJVdZm1eb1dsQK6dsbuexfEybmHzyvEshLNOe51y+177p1k27LfDtPO//5/x3Wby7y9WK32djkLu4IBTOc78wckCQuliGQ0H+Xf/WgSsqVxVoSw+ovmCDC9e+QfsP3SdQeBHUczviSjAJ8ovqdi/E3hkeNLRBM/r9K4u4ofL1vyOJifp2osjTOlRfdGl3XUr7sp5NzZ1F2H8m9GoGF/VPj0Rl184m8ykzHLQHFdM6KhcD4UBu3v667/CkY3Y0kf90ag1GmG7Nv3w4XZ2h4NarfmTgQOF2XdScpWL/CajC9ifu1ylW3tw/O0IwoXQ23QZcYjCcdFSY6HfRSvEvQiOxxG1gk/y/Ho5IBHikAR9+OWRxUO+zdLYwXVqizsJkKtQd63RgduT5K7WZJGml0xTmsiPm9hTxLZO2ubmeNA0H4K7Oo7E1ujE6wKNeqJ0paGm+OboNqoGKzULKaEDMkLT+UHhxgalGvNhWcCqn/hOYl2pSJ3PriApCeUtwtpMOpGJiQYdyFB9BTMRSLd/NRx+wUwoVN+2KrByChCeRdoDN3jXIKmr0VidheGjG2I3DCCaVnYiLbUJaF4Z9J6lagP2EZHDGOqJ5umdBRymmEfA0V0MkqajOccnw1NcM6RJHPHL7h7Tnogv23XPbyWrZWu5EPOdghy8oxtW7B6GfofvzUTJRkbgKbLpv83ztXljr2voTQqBSQ0XGxijZD5fXl1drW8TWa0aLAPu21lfFFROOFteTl6m96vlwyYOV/3M41Y1OSvINN7rfQzb//Y17jz5OGkjqvzPDxu8mTMEQQv6KHWaEuJsDJ4WZ5cQCydl9j7IeVv2L1aqN5RJ3Gp189Ob8dULPzg0w6KOUgLWedgwNGggxww5SEnv0+M0j/GEUH39299++O9TrNRwCYY0OvJylw2DpDNFTO21V0uWJNl/Pa/KzyA3syp62gyJynXbjotTATRVmKrk08ijMKSsrMxKEYh8NhpPrr6JPtzc8wGCy7XNUjYBB/LNkSm56oshmhmQJ1KFPfdkcYeEFbTF/amU4rxuHKZZZ911Nl231RPhVU+JkGsHlk5houFKx+0q6LSkbFu2EVeya31Ix4F1UhQt2/0h3Kvpzy+MfbjUrl4rxnEadDr4v+s4Zb2GlasmioDVa5X3+sFBzcbnkrAGPmPU8/w9ctXkImknLmD/oLVx1YyCWLNSTab9dI1SVn3W1iBPEhCsnqvWkKeoXtg7SlXKep6AVbu2QRRNFxMxdVC9Dmpey5Mft0YamI+LaNxqMQQg6IHn4yCbUpoI5vHciMaNYalHpiluE/B0JBl7LCePGIGmXh2BMuCju8/QkFd2YzVWOk8ThjacUhVnPQLf4FNbkFYTNA1Bkvz8UjtfMynezWVnCpNznD/xgxsp5jUyyCIqH9tbbo1VtrdsEolVr4s6w9RCHpYsFuPVkg04phvlNYBS9YxzeHjmq7YurbIKEjJ7CLQ9iDEOrVp82jIxbvuv+uG7MLdhN5gVkVl7O2h1V/IZLCdrBitvPUxbU2Q3wZ3JXE9h//ePrVd+9/1i+9Vk8z7u4HS03XN//8c/+r582zLGdVcWUJ/hL7LRqDuYThej8YBlnlay7ohqEDEA4Y/5frOefngf9geTyytOMzVVSceikeO3KUNTOi3CoSgqAIyLFP8IV2Ad5l2/Sj++hfC4bHCjhR+MlsvlRc9fzNKbMOHDNBCRognq55IOPREbGRjaiEpJVOioFGE1bz0GUygkQX3c5ZIZYNRQQiLguyRZhaEb4VRMNgGhaiGYf/b0sqixN9Ks9GoUVbbab2KHvT12YVGR1E02BMuufCOtGE1c8rl2/MQJ4G3mH6FYusLLFwdX/U42hKC4pCNNmVg1TZgGMhEx7kmiljrDSH49q9M1WjEGfIKdvz5u8bHSyytH57J9W5+9lIpgho2enajO5R2SLezMR+M0MTd1b8xaXqHZWIQI1exQg9m+mm6nYBTEx7OdouM7fmCGOKZ8VYQ/JBkDc49k1fpMCosW4My6ZdKJ0OV2sF9V48B5+qoPWDVLlrlK5gNFcRMBMeI2esRtrLS0V0q0M5wePxGIxs1gaOBrJCEOkWchEVUY4GdFDIaUIm66TGOoB/OJjTX1UgpS67Im8RERKKN3G2EAECNobMGHiCIdH4koLFKWAL21BznFRqpiJsVEV3wO7REKIOskazstrurAKskgSSZsVbYBUyYXBqd+WwlYWljYZypVBDbTYHNZysCRCC9VEc2LWqoS/Pcy5Q/JdjVo+WmcgM9mKdt/2axhVGdZ2MpcbERwOMpqy6aFi/caGoTDK9ojVqjUAty/327vo81HLHa3NLTFAW02yFDxaALWYfHUNKg9mQzni4gbboLxOJrPwEOqQ3fY4WNAZvpNtLyNo/7F5WCIiwdNvb16B4P+DAcQ4+Om7nkx0wnqmWk3jDY4ctCOSan94tWr9/e3HGrjrCV7grgKg7swxvp2MFq1t8tO5qSlWXgf4h52P98DmKPKQCGpDvo5bPnRJNSTSsoRNGpodxQ7KC5EL0lULHyy1cK4Q7SVoZUk7J5ipNbdbnqtNt2GrdFR2J9nhtrhVkIVuQpBCIIj1aPOruPKvIQ+EyBUWsWr5Sz2L3u4sVDeU4ftDPstdKJ8x/Odh3gKwFJF1UfJTFaojz1QICc27AAEre+g05lahSUsNYHuTP2rS9F1dnHiyvZhA1Y4FD3QLl1q08ZCcYcDdR0VYkrVHX1E6JGzhOVQTymRERFIKt9awqZ8Xh4LUGO73TNLKPdHbvphdhb2ICpqC1fspdY97AlYMr7UmmoigNBxepHu5FGHOlAnpQENCCdlbcik8WFlhb56fQWgAavR41VD6XIyrHmuhXsZhHrWWJlX+pFfHUy6bju/YKjj5pWJUMTEP2lEV0TPlmo0NDQY1mouPyluBjjoEehofsETlIiwCjK8UfOukpg/aN75slaCFCbncNdWtO98fBsoULRKVHJC6oIb0Q+Z7NhUMOkglJkUiWTtVZhcvLxc3YQbrpEwtkA7ODtZSkiq+5G3+2D2YFoPQm1QFjT2cOVQVxZnLQ+e3q4X6961qyQ/q6SJbuWKUs4xdmO853S2iTSO/1gX1tuMi3GidRK4sg0Hev2WeCbQSEJLC8e92g3sp0eolFsLl8soGA77w8HDzS0npwArH6/bhM99Gc7ZNry74dgUO4b6BuhyvU/GDumbRUvs32UDuNN/9XX849/pK9Y9Lm0Mhpd6omPhQcDGUqyMwC/xzGlHkaigDzbpbPYhIbrs/OZGVGD0CKpoFlUSlYwseVSBqamQqESqgi1ZszarmG3UzirpivtEYW7h1S82WNxe3wZmE5Gr2JLDW4VsrTY2VlFOdOTxir3oVYyBD+t7t+evk36SIoBi88QwhKSYrp+yMElm9FvwKJTvOBwDcQdjV50kqMUVmAQ9K4IM/cUjvyaiS5FYq5HBgQzKcaY78DzARpnaBjCgnl26AjLCJJwHVxfNhBKNgS9oUcrvB7CSZp4W+I7KDxrX5pcNhTJ8nVER9iTpivwIGCL8miqkW4pgEpn4wIZkk/K4CExwevs148pYVuuBrlHjoH8Z/I9Dwy51Fkp2QR3X6AGEoBHW6ZqExJ8FyWq9Z6UYJHXElNVI6tFoEqsRslFQ07z69vQU1i2YrUlWowpoCKcRdHX6F/SgoTGTwgMC8wffLRvspQQx2d3bDbR8UNQPjAOoShtfdKL38aAjcpPb78LrpashqCjjvgWnjU5ItMeKMxeb0GvhW5OPeSWrFUMEDGR2VnkO1Ft+JYoJ8QWq0vNW4GiwFbXiJVo1qmhFybLHLYLqwFepOKa27IKFWfiwSNlpW7QRySghOsjVasOhJjwYZJkvRGLBEBTlrQBhaBejO6+1BPr5HgeDIIzQGG2/+vbr+cNs8cAhSKGa9nDRxVMAFEhX9+9+8kbj8cVFqaWBf56pu8Dea5I8093KLkvs38dXV+HtTTdeIMTEHBf3EgQ7vJchXnMLxyGVxfPRpAQJFOkNkag42adO+aGjQqQyRlQ6/16zSiDqHuHGIuxNVgwxUZQoLRWjjdVZOKMIOCBpPdwE6Bcl7cuWq3Sbdm0r2mj+KrkKiUOGhfjd3C32JkseEUoqRmJlXKUrOIdLNJkdXG9w6TBk9Wer7EVgun7iKgDpRWXFL07hUQRsAAAgAElEQVSn3EE3GPkBF6gbgWOHg+5He2jA0nqNJpFABlIIuzLEmjmGTxz0PjAYZnt7RcwDpgSZfJGpCfnIBpwpdF6E4yarlT7Fso93DRi+rq15n/EietZye2vK7ZI4S8io2j2XYmBQRwldUSnvgUdZ8A53vzCSDPijTT5QS/6Kji+trxq4ZhfNE3Z1VFq7/JPnMM7HUSlynNgug6FGrygtZCGAJCnPhZIBfm5E46ZHF2XNyDRIEjkXJvlpHTCfq3WakkhaWpDS+GgMGSFMVlG40mutaKQgLAfsbTMpXWCrTESlNXWDQOc55ReCiNQiEiRXySxa+iYZ/J93uUWZ3VG1ouSAmE/VkGbzrTN2+5SS6t1sHW16495mLl/2uzqZ4MTR5S7hxJhIVwols8g5HWfVwRl55vWDVihHArvVnX3V9yDE3346QHyaZxm+G+44WghA1H6yRdoJsCFTjowln1QgJUCMPywtOYaPQPrEthXZ+oGHGmk2W04uJ/1h/+b9jXjnUZMMGyiyrLHb1W6ni9lNuBxevugPdg7JlKl7dPpZwqLOmr9IEqyLLIXDV68Xf/8zRnjisoErGicvEnw1yODm5HxVdZETrQbiY5OASF2id+25+PZEQSU6KiVR2SDP5SbpZOFZwk6i0mNNTfvM/LJc6unLVEQGSZUgZjHt2e0r3I9BHHjQVnSaAl9OpGDxMsY0WVZBNY0ruara6aaIkJIHFOdMEdihybdCu+s4/tin2/LdNugnitL9myQMiFKEoSdZ5SgaZvNeZzDqj8Z8adj9Il2oZTZV2HRiCRSPlNIFmWCZZkmhZeSv5iynwIFKzBKrSLRZ+wEE1hkypLDF/pvnfEJGlGvEypWXq6CBtAjm1i+InytdURAgaO6hURm6eubL3cA3GegixoZ5PCVSD90uST+dyCh2qVJcxrhiEd3lQh0lYpONOEHzRKlU0+OzoKSBg4apRcdtPtavQI+IRlLHTRETseGYxE8UOYynZj6qPozw6bgB5xGtowiBniJAUgOERKQoOErfXoyZlAhShZkUWLPK6ClMMKRz8v7ZddPpmJ+Uk86FB+jhVJDgr+Add9zUT3s4SFdCiAa0lqN+8YeYRddgSF5eosDaeFkrZYMvn8hIzWMnIbGfyRodvMDnIFYuPZRTfFyG6PNVd+z4VmFo8aWmFLXfoRUSZZsgwqSJzwJ8uMsiaRwZizCnqpYZKp84doD3kXreJ7bnuK8Qs3e8vb949Rp90vTje3XmgIlvk2GXpYzfuZ96cfMeX+uTFy/01KHaIs5l4KtTUYIAupl5gb1n1ke2nDfBECUWvScuG5Kl53uixsDypkbAOrXaA/moCHJj4oCCiq7FAo6DftCEkWKX2sPaftEQF9aVkItTxMgIaxBkBVeqFOYHEaYLRtUZSIMBVAb9XniGsJ0/DLeriFuxRxP4CDZh30y/+uJ+q3hDFpz7I2HCHpCeC3wONEpMrJS7ozBOEK3YCFyj8XHcQd/1uh2OTkBsaCeGC5YXqwMApVMQYWFlxJaubAU6/TGmkHoBgr31fdKqu2R91JEDAEuvtCQk3KAkM6zUSxnqH+VIKJKHzBglMWu1ThAqu9rBfH3hp6bSTi5cwALkMKA0TuFxnQeywLeH8ze9lY/VBgFLJk4JBdeoTV66rAlUU/oRAYvuoQFNhUvpejzbcwQpBifSn2WfsVTpIx7BSgeYGPTMxK1R5feTCumnI1ygKX/tUmBIODreyADNf4a2gB6UhIx212sMmWvY3ZPPCzGTQpZCWOBnzS8DhIK79YQmSiv3Wmq3uhyH1yHL+RwvpcqBlG0arbD3ZrZlJvUyd9vZpshclnDpsGngdP3Xg+jHBXVziEb2EKAw7uxmGxfTqPdcZ7tj+HIl5zwzjqGNEp2Ajr6Oqb0TbhZB1tcL/4kNB47PLfJM5ePu8n7udSaYY8ESWkQUY36nuEEZSp49e5zTpEpeSHcxGeLtvee4w/EYhv7w43eIGaRDdjmj0MEggx3DNkeobt++6U8uyMbjoB/M5nLXYQXk6QlCYDv38OWr5fdLpy1rHvdteyOXipA/WTjtbI+Oi7QGk+ktP5ykK7N0xgy12DD3HuwXDXGKW0GL/QJDfZxLR0tAoNqfw/XY1C/ltdIHVGvA9cBgG8NpDGFQ9f2BOBPjk4jGfGnBxli4S3ZFERUxTOzAcQdao8nLGh4lEVuByN8pg7/r9geDCbplEV9kyMOuanPvpLVSaheBFxMrjlEMOv1RfzC0pQoA8p7lEsSYWnMc9jvxAM72K8FN6Zxggn2Wt3NV4krMYp6mhcbRVH/shzfdu+8een7HCbjqgEn/LGeclVrqErBks0lRzZImmN6mYjih+Fy3rprtlBSIDH0gbzWzbNEX9CIPDMBvNdvRlCMCFr0LEiUo1pAW3uLR1C2oNAxXO1sJ4FmPp8Ox8bSrAEmNJx2JlzwQtt/+InFEE40ttUNzjYPBk8gjsKIUMB9RsFoEEoEhAPlFkDIYklMjCZNEYZjbmyMCIE7JzhQ8iiUJfGq+NyihT78+D2JVVK0UM0CsNAhZQ8wM7VUU41yUiS0nNWLWaNsvEZBOQpGEbROa4sU6uvCG6JYyrOHxKeX7swyPCF1L7APUCc2s7SPm/vz8StbChbKYmG6S9Tpot1xuyastolqJ/Ts7mLsMqNxa2QiLscvBMl1uIkxuuxyBpAcZppOLwTyU0U0nygaFCruy+vkT/+Lt/e5h2XUwcheztrtZyKXOQ18sQeA6jqfLLC4TeRY93MeLxfjFNeolkHxG9qaJjue2xxet+T1xXDZsw7kcFxUNVm0PHulZxWViTyeeqDCi8sS3J3JkyYhKk7a2giaq0/Ai6BlDMsLRDDm1xosaSlQijD4r0BBIKW/Ue+KkWO9rouT24jlk1+/CxZyOYNfSaaV4fTpWugbgL5ik28Av7Re5io9q0VcZ0Zk35U6AyMwAUAu7dbFd5/Qkii58X3FAAxMrTNcVYwAv4XBEMXYOtxGiI1XJf63O1vHdi0vXR04RUZ4eqa6zGho4EyGPVgTweLTv6tGoaWV9RpNKRRscF0MKJWa5rj/4/QTX/W/+x/tkhhNj6IGk1XX6PX5L6i4D5NwI23bylVs5Hqjh8Gr+sAgG8lko3Hwa5ZtwoIFIsWgKazJ422QeM3HSNYyFmgynJR0SsJiFTb8Cze5XqfUcuQRQmlFOw+pQLkCVeFEGgxJQSsVAmHCgXs3ZpVKf9NEWpExFGk/oSUQnlhpocv5sEfBE+oTUpkZSoCSIJRzc48SDHD5hqGMmhQanTpBiypJZqzxzwUeWCGLAPyoi5AK+AFR/CiA5Fc9QyeCJCfc1uN9jyDrFsXMFtYBZ/F0v11z2l3EHFjJkK/OvnGkYseXp4DYJDYUIXGTdQ6coSnKVGmp53OWwYtI42d9DYPJaqK82WYwVFd5Btc5JN7IMsH3ZSm/XnDTTgCRT1sIH6STcYLu9DeXS1k5LzMvYkbq8uFhvp9mSWkTJoSFaGDxbVDhcm2/wUY5pmsNdI4XmrNUaDfuLVTyfiXCDVuH9Il3E6+uhhyMnSRGrX/HjwCBn9+Lh/U/uYDgYj8MoRpX1BBSFvnbx4fXL2WLmymapeCRH9YeUcuIWIZwAM/IVwn6fXJDMrpF4S0c03I0gU9derSa1IQITqsByr/6qbEJOWZK1zATP6qlj14E6AwP2dImqVD8QKFsMBXm5mE3Hl1eyzKPTSj8ht5QwecqjpojSGNGrsiVryVU2YJ0xpzVtZ90VfRXSFedvO9xr2b/glEG3LXaWfDXiHZSpsKJ6sCGaOKCVXKX4CmOC4LLXH+KRjhmVPPSQyXkgAkq6Or0oq945qaCBecZsaMqoiNQlYlbLc7gfcT246P/+f/n2x//3pzRabzCXXW3jaQpNkDrRaWlhy/6e3gd20hMCrV93YQOYPHyYugE+UiEpyqe9r4iTQFcy0c21AhZNWDmhugP+SbWIjlr3mamaZug46TTVpD8lQi0G7KPhaOnEXvWBqSEXU8yjYT9zQVAlVIGC54kjqlr2U6RAPS1IaTLySy1QFTyZW2RLV45moK9Bmc0umtzFgkacTMz2OT78lWjx+CmwNDBNpUUKs53w1ZN5S+yc1AzEXFzArv8bzcL2oJ0lbXfY6yTt1f26O+y0N50kjDecLxS/WQh8qutlLi7IoodUMbLqQVdTyQ8EVYrtMr9T/dLKFwZTFPP8lE3LIqiekTwP02X/ZZ+pEF0kZry4Nlc9vr2+mnxcimRzLmpFDeW/dAWBr3TmYvbbWBZYQziTwn4bRNHKt5A32F6NrSsIEVndGGw1vZZr9FXRVdCb9NVWnawuO+P3dbi4j8Ks550hYEGDoissjPdSmVh6l9fZ3XsyxizHaBBFZ1EzihUERgWDQRlRKZt0OehXXOdnVZFHayqvZlIp9IsES6VNMiRlSCp5Sn6IkmIBEJrn73Md1VOVTOwJLrmvYBNhYKQroob59H5yec0rjnYgeVgIfI5RBHNxtSA+7VH/YJJQI+xqvGWgqjGLeok9DbFeR4vZQWPnj8TEqo3Gix5ERGOHUC3tNvEb204/kVtk3HZ3y6nA/hBTNtiMHtzvvkYI1Rd6+QDdpyq0qqCbUxRrrbtRpGURPke//Y+v3v/lJpoW4kHWWidb/kVc59VuOT6SlghbbCaCajPg+jfqrkDRUtuvodjsdsHawzkC2SrZ438743lxNaZqDTqzXr+9eb+d3yxFS4eq0edraw+lU2oSAasyXKUgfKD3gE+BcjgPogZVHM5jvyU/WBHsROJ6EoG/n0tGqVZRqvHoo0HVFvsoRXv1B8dRCD9PBlrKgCSYJkNM4uCJDC325rLrJf+UvblWSpGhmHjAUux29LRS7pezm3DS7ETdFcCVQaWEIvKdBLECzkpAUSQextFA76QT6/Uuym4i4kFv2/X6XtxjnMudKoNxP/zIOX+gaKQFH5kCKgjvAJ0YKz4hfK7gaFwgdv0CepLNNELkRgm4mEYWVR/RW1kyM5kZmf1HckCMTLtL0w2HqHIHf2RnCllqjT2LCOJsffA5jntl/GjgAAZAdg9aD/1eez6dJ5zb9HOR0eGWR5HAdgUwGLmJNoskejVGlSUtFxYtjN872TZezt6/WV+9/Eq2rZ4pDC8v76f3Hl/lan8Wp2K+54mOthLW+CT9+htoWnmzSzj0bpdLhpiE/UlPz3XCjipUp2idQb2UJbyawarhkdHg4nJ2m16hPizWFbARGeviir107LHYKnwk6E9ZDJ4UsYZvQrWhjwLhQG3QHdrzPYBbem1ihXk3ZwLZCQwcRrZ0C6Q+y8QKBJTKilHR2aDYGY96wYDdVSoCFOsCi4WOP3oh03Bo16NAnddrMisqK3JWCqPswdLg63/96uaH+9m7ZZm8nPaJNvxr3a6gbk+kE2zWuEUB84ly3tpnaV26Lo3rcMZ1QfHoMkAIfoZ51aoYea5bvqQrJ9HFqxGfWDd/ewhvE7qs64nxmSuCIw4tTmqMONemPVZ1eVRzQDX9ESlIIVVpA/haOikBBBlCE+fBTyBcKvK4R0A11VICCKom2K9KqFbbaGf+2eJaIwVtQc+QC6IhLi8XCxQLEFfZSIkUVThBsAQpEIVzhHlKDASTkFLDKuc3baeYEZilegAnlSjZ6RTQz4EUSHDYkfWCbb5qnbrlGlVu0tlsk17W9f1gevdhsA26r9lCcMUSg22TXAYVGPCMBhWlGBi1vRr9U7WqmhT6EVD81rzbS5IMW1RU3a0IWFJ5QVnGGtYEMfJPyhYhV5FxYGrd9ritAzN9wVNoKKFAeQ+ufqB1storpZTWS4lqSmQpuUHDNFYyF+txDZQiadBrz27ue19fw6KkeT0PpWDxcvcXf65IV0gQWL5rIhjjd991wsXiDpf64wnusvYQ2AE4Giv6VmUEiP/y1fqnH/TZS6SsgJ6tmGnSz/71S1xF0CeQhH0E0zc1baigoBd1tbJTYV4C4jNIgaaFquq0bDKQR7I1zNuV2h6fAG7B1cuHj+8v3V2X4kdjMZ+qQ4XSetjh8RU8a0mZ4hRdoCgHJXpsxjUHJTjJcQ8MHgrTddZPx+/3J64crIDbKM1ajvkVkJsh7d7QQQDkn2xGdnobd+SOL3zXZ53bZVIxsvAX8vLFS4RHypbynPhYAgWqNrasAgQNCq/MJ8K0swFNS1ck8ilFdXrA8gj+L393xd0HN39/aNqswzAgXXL94jokP9peMdiSf9pE3a6oFEeYswUs7q2f3y+o6+gHcAnOKY8Ic5kvc6zKXO6I0dXAcXvv/usWHxbreINTnuguYcKkCbIfSlu4wnRnz1eusJ4LIeJziQu6jzUn2ZXr+eJcxoIK5xaxK7XjoFRS0QEcbAtC7/JSI0Gz8i71l46BP92kx48mi/6lUWEYKldS2C+jZIAnEfkZ0uJnh6DnDiLCUZKiGUteHQlkLLPfkRL7r21ZqogzszwJpkgG0pLHzlAFhjAWF+M6G+V2V/MAmM1by1E22Pa3qzANuBtHocqxvrAVedtg+CJofeQLl8sC4y1ePUs4kFmRdoPb+aSNKuTRAfbTnVsPIZ8a1Eu6GiepuqcopTFQiKW3CTsdTAasQy52q712GnHAE+c7giUTaQFcfbKzgotqSuml9DafkqWQhsBENUtll9juqYBw/C+sOOy0Zh/uL16/IDdu1V+Pvr6Z/WCBFiA8gjsqLEGHq76VNKYWETF+p2beJ/Ppx+Vy/OLIXdHSd/WY7r1gG+feH6CpoWKWh/Uqwv4milggdgHkMdLabgeMPj0KRWOBAq8uCLlUUISTmM4l4KG+EqpETlHBBkCCei+5dIQUO8PPEKeBzuX19P7DhbeTmvNDhWhlZPCJPPEzYNJUBTSBn+EN8GPvW3NIU2Yt2sI/2nIdG4gVo1ZMrAaXHmcQlMmdMrHiFTRvglNKpxOVzoxJFobw/MDtu71V1k56jLOydGXKgrleZJnG4QrF1SdJcgaCiWhQAGFR4AObR6Dxll+zjktKIy4G0l5E86adxPZpv79zSser8fXI8Z33f77jzmo7ZzXOnvpqseYfr7CaF0mLfbdAbsmqZha9eGHqjlef6e0c5Lv00CcIwkJi6t6oCMeu/xu2RP/rJo1x1aMwkC1RtpM30b3MUXjp0MZnjt8jbs8zNQKWmQJObwtFTLBLgTrcA/ZE7PRfNg6qamYUbzpaQNH4gCQBRuT3l8XQrh0CMmw0nmAObvqXkZPEMXOLyFLKTEo0UrJMyukl2IBswGEN4lF1eT6z28A/TVxVVKpNSGrLUntSkW7Up0HmKFRFJfUTBAOUfIpuigEgtYOxyaYLORl96jQtGbE3XvfXGAn1rwdhB1l2O7+bc86P9EplZJcz4V67aj5VyXswIe93K4+A5lHoqrBVr0QpiYDFPTiLNTb7Os0qpLgBDu91MVhFOlnO5/AIANIwmt/et7iBgk/2FHv/jMJKu1WUViQqHp7hL199/mYzu5v1J2PAsTIUsscOOIjRNjGIarcRs1ATws98BJEDzscbIp5CA+zlt9wV/S7sDw/fFW3BbRK2JMvg5avZexy10qXZKo78YMAANAuVBrJeLLLLSz2BgBv27IxT8iBuCP/wv17MVVwXAaCWk0QckO14EnYdRx6TAWmtVuTScH7m3x5fHeOr+ex2zBZPEcyhQlcM3n8BEQtaabkKVkCu8rQLK+GLmqB7Q4oQxLZUTNfFxMrF8RRXDrXkLhzleAVtFnxV6pcaiCpJbQWKewa5T6fTc32uCeWwaD5oRPqMpmn/ovaggw1TS3J6SdI8YL89EBceszQClIUD+SUdbiwVrA6uUobSo1allhLleJOCb6cHQ//b//YSGStZnKok26ZZMl0nyjpejiKKKkgdRbT23egoPwgYCBi2M8eyMWdX+rxxZereKGBRl+v3vkbG+vNtMqeNej2VvwQGsTL2X8UPMqtgIqYUdbKN2PPqvGzpmaK2AbpH9SviJg9E13IJEZNoslUTS3lOfAQxzYsn5gdDgi1C6YLgo0Np0jwRbDUbtQCwmn5WCq0j6GEmXxsqAJYmoy9lZ0RGfp2ZFL26+7rMl/hd15yFw5HM5TaqWkpVCRk03zUC47Wc6ClsI2hj52V39YF7u8qTQiOI0gsQgxvL6JUyMYWWUjSmecexucc6CmKSLU+TRRLWzthY8zi4khdXgkvGvcutAV4iW+2wi+ERJ8d83HBbAa6QvQKURi4aj2rdVtbaqDW+NEY5UkUz88dS2W02ejnIFm1M4rHB78de4OaqM+gMXyGOY8DEWXskLKeVOcv5637Qbfc5odeeTQEmHCTIno9wCZMTHlmyuX457PYmHnex1NRo+oxGo+RBjKEVLGlaUUEJ1kvOhfEJwhLJXdE3Uchd0cPRqBaadKuupFyVeSFIu77Xm4yz9BbBGtcYSbjw+6PFYpFPceoPOIyU7xKeKEIvs9JxtRlPyNO66aCqRKlCBSXCr36T/5KBZYwgWmZ+P7NPO4OrFwTRehLF08ByGSWHCjHGEoP3TI7a7TfNlH3eCJVAUtRFdCAfnblcZerY60a6Gi4gI/aFqTKxwk0mEjoePP1B38ESMTexQk8pkjGz60m6ONWt6FMRrOSUQ8/rj1wnwLfZbhbOERqyDx5ON4PydU8GXztC7xNAmFmIdP1oZyAuTKaCTgcTsvFbyiYYqhOO5NfQ4C7Fe1CjnLlUVj8qbqzRSAFZRtyeNl6q77m9r//t5c1394ubPV1vLXArkUnbSCccbVZGTnrfzeuK0OO4048zzB7oxqO7ihbYs6MMP6MwqxbWJGMf8Ot/vf749ztupFd5lJhVIic7RumWM7bJTHyYeUFalgrpEoioO5IctNnURzqBHiWFiEk/EKl++R3IfPQVyNTWq1gu/7GBaGzhldpSds6fMw5ttSBliKxrh7CMChNIxJ/aNl0iVGlvUqSY3T1ZJ6Rndr2jgZz1SxeeU14vdpQoul7zQPF0etWIHe7rIP0p1lMSPcd3y7YHb9bAYFFKO+v2quVyAP6MINhauArLGsRrwYBG+GHZl9P5ubgG7yPwMoH1NugoxGJDr+u9yHF9JrZtOuM+xLazArPyOKIKirOkAg1jgk1U1zaDhzXKcpyhqjXEdjSWnLtmgRsTg9yEWARakeI+FEP3XmsbZh4ef9oZHn4RXdH3jOSc+aYj5rYAyYXxougv87fvtPEauhqOTqkeooM3p/XYwGExRHXBJwk+inpyAl/2P8Vd1v1tslw03hVtqoGmwNqF/WcAMQ3CktsWDtI6jkctURyjQmN1X7F5EfQHUcx2DN4uICaDVw1qyLzFMRJrg5p2ymIHMElX0pRM6ITPamraEaMSC0ajRbrqbmJu2dMvWQrwrPHzHCqkb0QCUjM5DF2Wq/axFblKZB05tyFbgbiwos+yNsc8g9EQ62QuYJaZh6VdebEym+O7UbYP0DxpHEQSZsZCYxV4bAXizMZkqEbGvdZ0+ZANL9WIq74vp8APoE0q7KQ3++wcwjHn8IzOT9VAE/eD1pRigy3FhUN3BgOll5hD5Ff4lciFMefLP166Qe/+zUzmvTMCnSXApO0YOcUYOcmRo+Gk3445Wdz2hpyB2RNFzoB9clbaVfINUWogkOCrl3+86nmz6dtFPn2wO0SoZlX1ch5KNNs0zHQ/j7qDz+pIBe3T/oAhQQslROzKwF9jS8ROPxCnmbDRgQxnvQKfatUkUguhKkhRtd42rZaiXg0tDR+czhrNt7hb2l8KzsLt/MxKMLGL5VRVAoqMhVOJbMOw4+xR4yQoypbirklBWy83vWGvNbNzFfGs5Vz17r6bXzcJWAUzwB25DCUwJXoWojgLba0yvpmkYiAAlg1uzmeIui0LhsEqTluJvGQ/ACUWslVnw87fTriRd3WBPYN1p5hyFLZ6RinmlT2SHsE5RyyvJuzESHhY3IMh2PJtJG64ftpgCdBdyzUvsvdRs3FZh+UvlAYRRvT8hw/e5UUdCmV68Mw6S78gxOBsIvCcOGGYdFDxbjvKXRaDUd8Vjd/3y2blARU3hzV7GNz0rGRQrKDvfnq7SLhBBFbgK0Dm1G+urynNKGa2RMZiLWSYs2DHYCM+uHNtJwPciFNq3fpiJKoqbfqXV7ObD5ft8qFC0WPxFSGHUgsmrxZ+bApLPR6nhLc7bSPb1QNDgoDV1ZFAtQ0obmYwsWpzVrXPNTQ776BID8oNA99uO+7axSrQWVxEXibI0O/hh6lvbQVWspcTxt3sYfHQGh4/hyFjVemoNAi9qJHCI5XXLhblyuqeKQhPskiqZeRAQ6UwmjlW0zoweRqYoO/jFGE1D/hffD1Gm/fxr/eYhFczNKfo0Si4MZRGHDUYjZm8buIb/P5hWFfM8c0AnvzGNnU/QCPaOLgMolmULFCjgrbCvFnMklOEwjkqIA0wZZDyZGwFANAeB4o2mGAwgc80w8EuBJP+uAi9iMT6uLKlUqCKoo5fe2yQB2wJcDa/5yJMl7g4Puqwx/TUlpawNY/CFyJDWMKbVMX/ZwomBuLJEWjFfg8ex6U2hnS2iVfJxcXl6iHXadmQkBDUBhCzTIPkV5BIlBtF3IZwYjzY+lVhCSefW0QsuVw87V/2V+8iDQ2xRh3VOwhbZgVlD8FuhsvK3GatFddKhbsL1fqDEPZfqv6RjwmxqWPzMcNOvO1uOk53ozY7QFPvUqC8+kz0U/sNaHgC6UG2uf94c3rvMS4Ybty0m7ns6kqAqaDMeruSTxq0WeweLtVd0VdX3Gqyqxkiqilxl7KL5e+ABnuyHontHY7d15u7RbLu7BSoboAHg0tdjswoSdBtyFAVpYgopuQKYCISFex2NXzJMSjsX10/3Ly/cmXm0AFl3dIcKmQhf6ZDhRCPu/50t+pr/g5QDsTgfD6DxOU6Zz5lDWPzDtP14cRFrlIXMIs6GdtCTKxqJJXaHhI2AA2kCcYuLOX2uYchUe4AACAASURBVM4m4Pxts916LZIgd9Hd3i9nnYFc9GTn0UuGSaTGKsOQQhH9oU7cLNY2nJPi+1VXi8C+yvLv+OoPlYNeo4/fwUXg/EcPcyU8kVZraUphng/8YDIeD7jsGUd02h9ZuglvY6RabdWEXbyc19sjYRO8s9MhPos1n0qHS65X69ntHIsxhO3VXG+8UkLhVCdmqUNTBUh6+vH9VwAxf49CI4MJphTtJK75TMf1q2ffbdSMa+o9GgFVxgNB8zr5QY9EjSSDGrazET4K8EAGdp+03kHJFLXD/0DpvVdKigHNIhFgoppRVFY/miuK18f+ShFgPQkl6lgtEnE2zhTKzxB3plu0ACE6LSPj7DBmjxCVPIVygawRRYBRSjWqMU/zC4tGKpOCJg5Ie3IXTjfr4fmHFTOfXll6DUk1TFV+RxdiQmShND6oMHhsLVvLdkwDu609U60mjFRJAYCUjXQJAdDyoy7jV+ulVP0HnGM1Af4c0zl5M+q0lmoH8BT8NJ1F+O52h/3OMkrwp6B7gA9sliHt+R3PX4ubjxEX7Fxd8U11AmQAy4jGnRfmjp1gjIOkMF7hA06XZQroOr2vvnldslxGjmIzSumuRNkRR9pK44QKP6csNB4n9usWhiOOMZG0EaTV+GJ9kEOFsGEe1KFCxw/6T7+pkDkZCYhfYXXZ1ToU6G6mZEYICkMkWrYC2bpdt1kiuUlFvIOyFUiQ3mRVRK5qUBxoXrJrogfF4lXOVqitQBf/AD3tjM3OdnocNC4664dw7oxylapGjJYSwPAoKFAisPoYm6pTSu2BhZoH60ExdSJMFjs/82nCHnzrASXfN//+EnOl8F7p/K1X1ajrOOPhcDgYAI419OPyFg5UH5GYNbSCCxdb+GQu/5hy5byeeNXSl/Pko7IK83Ep7CUfFrBgi+nHuWwXoGljm6DTFi/26jNM1agIsi9m7TY4mKrowsdhVi2lGYh03Q386mBy0pd2MOk/TwRkmirSeGpW1nHwJMIvgwESwQRE7OLPK/xJdTIUwPDggLAxKOLldolMAvJqrS/ynA/VlFSRx+C1D4HdhHC17eLmWzx7O73epsPFsng6sFqtJh0+RLHE7kTYFJ1NinKVj3gGB6yv2P5P22mYrvtiyysClhBUDSPNRYKaSEJNKGZpy5k42WLT9VvdkDNLjagAA5dxIkuJICX3clAbrNjMrY2gvrgXQa/9YjBcJOJWvjZAXtQSWLThwz1lY3R+SzZNde31z4i/JOae37vKQCqJ2OMLxpPRZFIeIDU1yaae7ApvsssX1+liwWXl/Ys+AkR/2PcC3G/JlYI15YqkZkYocnyWf5nTFs5DO9hyGN5tTTY3bAXWcKrjusnoCgdkI3Xbrm4KhwqRPPFC6bZYpMQ87qyAjIG+iu6Dz1m1Dosy9CDDAvjsxMarJbuxqBjZvOs6KBY9TNdtEyvylObqEmI2puRUW4GI1gw/vLg7IqgVpwJLBc99RKU6aaWzcN7xLX3qmVDAkEAhFmuoYB7PBFPODsciT57BtzWm7mWYXaf76p+v795Mp+8WtSsOk9pAhlSf08Fb5OPZA9rQqNPd9HEcs4OGUv7F0N/Gm9toBZwtN/Ooy3lgla4nLrWw+jrd7ecObl2Mxf2AqTuvsLiHT03RrtsNLpGxVtneGSaFvRaz1Cdxnp8OO4PEppIiQnGiLAb8EtfiGpIHMDXYp0hvgNWMVdT2PH8BSwBVfnXz9a9m3Kog9Ty1ngXFYjW7nOhPeMVEoDPIPCELvCa1nfMzittiAu6+PdHV0wzMXRAoFvMFStdNBzeZuzbTpOBlf/luvhVbcxFzjzSHAuRpFHWOlK68Zg7DQyi7Ta1NxFU1xY4tmIjkumfDUSm7S2A/kV0K7jocDvtxJKdLmgLS1StXzLU2u6+ipry/wvSh2/1qNMKj4O7zBRs4jnF7PhuhJKKLaK+STvSAMtHuZYYvsq/ndMWPA8uv4hO+hvgmku1CEYiyePaQLJejK9xl+fYMXqUj16HIRLtu8W09+M1vrr75hvmhmq2aovnu2bivWsGnTGH2wG8sJ0y5RrE/8udJmC1kVqzW6fX7kQg3C77hi7fZcjHtTvShQrktWyakY4ERLYqitbiwYg7Go9iBEmCikJEjgas0QomC6To6DS7VZAsYTNgVlosj9UWBIuUdH54aSdAQ63XRcemtQB+3630XZ6WmdQfwMq+OtxiN3HgTLTgt7XFGZsfjBsTpEb2YwpZnKLQa+JLmnyddKSxZHPfPEtbgLrLRby9c7YnU4gi+qIeDgOsYOZvS2sYtDgBBDYYcp3EcYYZS4COJ60rdbvf9MkJ21+9pTW4Rz82q+Iv3Cx/rOGyrgihBbH5EG+p2azwW8sE1u5kzMZSKwnbBpceVQXxF74e8GbkGi346UQBSXJ6fF7Uh0k8E+IZfnQeFuZ3hKXE46SnQwAcICFIE4gTaGwSBRhjIJ7b9KU04rywzhQxYmd52UxwphfCgNFMK5PFxfaRmBfVInr3XDQN1L88OaZWsi9gFlcaHDwY5Kr3GXBx3U3JMd/ib6/nfZyyJGhrzpVhBYKraE3sIfYhvr6LqwyMJUtnyE2yZccU5O1zNDX84zynkWXlTu0hTSBXDwFwGmB5kskwxhzCLxNh0VTHepbgiNWTkt6aj3dtffYyJ8XrghenmjmUzwEcyMzByzroTRd3t3IFNNF/JcSgOde56Gp1HiHq/2+E2QDqL1ZU45GKAG8/vdAJ3ReMuKxoM2DFkKqilZ5iEt633kxej7TLUu4qnSFf5bKoGLZXWQv78E9GW4n4gWsSd9tS58JJw5Wz1xmsZd9SBt2+XL9tbY3hOTxWHCrnUSW6DLpcpnqGPUhTJWiVHAi3XD0WWvb9KYBb7xTRhH7AwXRev66NRr+22t5OLScqm7AoPblw+fKomhoVKsQpzf3Eq0GVrC6/dtYzxPH3K5n4/mS2QYgcj6PCURQ0agT8BxtbrmmpJI9nJad8zoUksA+Rkitm9Ih8gWCzVuXmysxEXT+he78Nf7jgkggtWHr0RN6qv/bsVowYpWI4w0Be4a2bIyk5FMZhyFLnAVMbyiPMs3e7bGfeUSl+QyXQJhdNwwz+50Eb5i0etJQZb3M69D0yDPPCL8O7kxgZWrqzFNYhyyKkuIM/1L7x4ttpwersc2P8AV4UFjbTf6kQmFx3Rr0weesvE7VI6Tn8/kXWqME9JAVUCva4ZDgx51HjCfATkbuD4vh9FkTDc5xEU1vkPGBFrcZZtFamdPSWJGDz3usiknslEptyjI2CouaXEvzl6gvNh2MJVrJG4GEB5hTZLHWBgHGHPgftwbMJ1cXKlkdgL214SDkNm3AnsQwhUZSlAKsmoAhpNlYg74pizw95QvEnE4yhBX1a3n98djoYXbEJ17m6n0fTedzAQyQNmZFvmjmULvwkMyCb0UjamtpnYv2A99A+pxOIr/9txf71cfby9ZT8ezp5cBuzSqPN8h/gc4YwpiTWHTJ7LYR1Zv7VsxEjH7lzsY5Xx+zpc3kbR4OKyPxrKWNsPrLaIdEN38OqPQTSNzeVr+7nqn0x317/+vFPh82yFXhmqZ2GII7XlIhH7Yr/dnzi5Rb/dgo3j3a/Ca6+N0KDTKclNhfmhQlzX7p8jg+fV7cvi3pYvKLyX2dCqcbqGocReLWJT7m0BjWSn53uDKxfXcuLITc+QOLKh68Wv9n6NVZg6hS7WEp7sRXVkK5DrLhHNi3Z82m5kdA+4bYjD0T6bW7KFzVrZNCE0NcFOF8IWnh0AyCMTZp6B9rGpPt70BpvtQ1o6pq1yPr5qDN+OCFjFJOwP3G//4yW9g6Sl1UvJh0itIZJDjVrMcTtrD/Wz3TKJMy+bKwx9t/e7y9Hb6YK72Hml85Z6i3nT8hff4YZmbtnGXkr8xVeAlysTZGCkDQZ3+SsFffGwTMKDxmTtlj9xkwWXqDBl7VUjgCATM5BNLKrRFZBu4lVsfp4UZknQsOtSY0/EdnAmDob8koEIOWEvFMgH0CZzCaAN/JPGqboks2q0NeYaZ0GPrRDcGOp93OMIlXhsr4OldNGbxyEdyGHxPjykqjwiSCGEcF1uE0imR85q8VbO42FTIzq7bPGAO8e9EtxezIYcNeJr1T/VPNxA2Of2nE71slRehgmAqRb1RrvDRsc6jtqRbDEJg823XmEo3c26o3bZlgKGHI4G9DB3GL/vdJYPd+Zqh81Srp5V7RAulWhdp4AgMhb9ToV80pX61bTq1x3BtuebwJkvsrNcFmLJwZ4RFlIQDRFBKTszdgzlW0vRiy91MX7vqYvmsu3y7iZaLiYvru0rz8jIXhN+mdmwxssRZtLcBXIGtVWf1vbsGUB+oazwpLf2p+GyF+BvgsHZ5mveHfSiJBr3yi4G1PyZcQvkw3x65eNhLQ/VQ4VQQwQa0TfC1Vw6WZWr6DEDQD4vCWQW4ypRV4npOodMHNe7QBXSQTfMbCCOTcVsnf/4BApDLMNkjMp63BjARO9Igoo6FRgMceWOoFcIVo0ln/sFipVBulhymlg5hdGrGMvWE1clkavYbHVaw6+yjsfKrQi0bqfzbnLrrfhwsGgPNZRYdoBgR5otpu70TLHbsMstIMtgMcniH6n8C6dhsNhwVIe+E/FC1FfiyxlvM6oPd5CIyQEjpcHSqXzo/vZy9H62nK3y/THNOuX6VO7c56eyjhd/8XJPs9w8zb7eXh37D7C9CFg5xGw5i7hnej/L3hNrDF/ETtu9uApa4877j+9wdWFyiAcXCE3X0k6T+pQIM9pOgn4KIFWWwQaG/OqPUdI0nvxSSxzHj0AbaE/G6zgAEDY4m9xgexKpLZaSPcLzuqbUj6eKaQZJqVEHIOWTFjPeDqySmnaPy1UcMPWZUqosO2KD307Y70MKRpssmtBdBRJjtwzjQCIiromRahu3bEm47nJ9sBWyVPRbou5Sma03+9EKeIXweUIKvXP1zev+ECFJkJ1Ol6tksHh4aGUrFFldVNgFaryummiICxm5G0o8eg9GXBHq4DeIo1VAa6/wmLU7xSZMSxX6t1heICipK4QD2UhEMcAXf4lm+03+9T4NnPYfLkf/eTu1tgGPtBYa2+4NZeFFV+064kFB+TPjEbIjAShbAZlSOPh39/aNPxqPLHdZHBfbLimMyitJlttr7+VuOBxA4VfRUYETJIvh/eLexykd2gSkfD53wqztl5vHcgEBcYa0HYymy/nEkrH0oUJuneLgCu5XkIEQfZS+qgzEIifQmCAkA4ZVKKzkSCAdJ/ql3jhADcH4Y9ZRmqpCrjLFycv9f2JI2xFdlknXEZ5ZKcTbAhKHLIU46scuCN/jxWAuFfhZHn30b/Esbo2RHLX+CexZ6SD4eaun6OAy9yLtBmquY9rdYHbdW3M9Qs+DpAYgm3GmZSpxJwSY9HMjdJSnvCpIQQG/q6IEyrxYsZV7E3o9LkpXa4ooncXklBvjsb6VlWWfTeik0tLBUvL1xdBbRB8trZIuZGop1Q5e+W023FWB4bnc0yxHEXvCNfv1wS36GkSVHoer5bTmQ08kKroLH2u9gH+O3Ikjuh7qHQ5Gf/vuL6viam3RKCKKlhF6wjPVCO3OD0hmcBh8RnEDRMcfJ0idj8JjSoAqONv6P6CANkGPnHOBUlB31bkFG/JLXxT03GOmXL1j0qTXeNiTpeqHjMmpWhq14u5avglQKWLDIL3IByVTo8e31PVoMJrNlov7O6dVKK4VouJiqi2MxxTRXeMGQfzgoa9SL3c/bayZReDAqacpXqeXqmG5Mqgd0MaY8rlFd6rPMh+VdK8b9P3p/cN2OVfDp7EkL5jdk3jVHYidH3a3Scx/aY/z4nlJ+VuQmLaq2UShbRAlwj9kLKZfWTBk2+tQjb/idxd+73fj4d+neExuDvtd4jhdxCn7DBqLqsjB2RYLLUw4NKezgrHAyI6haCbxGCLusjB+DwZyiy15OJqGaY9E5uvs8sTBKLAZuea3GenP+s3F8KIb9pzM2fY2S+8uCVOvU2PzCwH1wsRXRLLpL1fh0C12VVBRLGZIM9xPM3C6GP7I8tnAxgwJpk+mJzFdF7EKuQqTS04W430jCMQFFmsuH6WiBhMlQB3x0E3yj7mnx19rwFCEBFgCMyX2Fl3fZSvwuU4F1iFyXlq/1+bkRdK5ZOGjpLRPGVQxfcJIiFmanapAcarnXa3EtZ7MmNzN0l499OIPZa2MkdvyfZ44Jx61QK4q2EekoOzx9q7NKcMo9RfOPKfvZ19hAcJwUeuM6HXo1XbvtxMcWGA0sk24Xx1HsFyzLh+YjXsgV0Pubeq8W4jZuwkyCNUUalJqIrt7mrH6bXECEadWImz5uYhPETF199xVlM5v8yOQTNcOntW67HGywrEweKKRkzmkTHa8ef3LP/3b377/axgvAXWqbXsNonVJ1Ef/1b3ZpcFPdLnmKlKhL4OMXwoyxkrFdQOkD54pnIJhU1WUJVTfgvPjZKkqqCJlp3ZSrFgkP/IvMKCxVVh97aifnB+LlyfTWaY9Tv/J7e29VsRG92qd9Lzg5etvBOEsW6zvF/OkJS4wx4NBsNlMoodbTlAbJJCa+I/6SJr0hpynTjoJS565O09yCmd00RvxBZu12SzUzcgRN6DqIoWKqO5dYxqTvTpSqjNwvzrfvVEY397cX/DJKUv1Ifqsomg6nWPNAZOw2E8f1JleT255ELkpX39VVKiu2H4fFU7GY5TNN5uD6p2Wi4C1o9h+3l/5E5zy1ciLxLhE88jx9rJ9gM8qW8CiDDM46wmcOX75EoWiKEsJLGDrFE/8HO6HxdiSn318Hy76Fy+uk82qG7TmH+JJ65tvX1/RDccr/nXlGPWHNGiRcQs4l2hnHt9JlcCMJ5KrmlPkpkIonK58y1x9yk2FfZYs8TaC5pZewD4KZi7GD4OJNYu9SOxiY5Gt5AIitL/dvue/YPFSGanlgFxlI8WZQs/l9k2Z5ZDDiq1ADpGixwlQJg9+ia1AG8Pa+KDX3i7v18Mrs6wwc2p9h5aKoI+Q2t96V6mylxYw26SV3LlbsRE/HihOIJ/WAxF/LukKmEBjJ1dWgP1Q9PIuVezv1ll8G462LpsBWnyUU77K6nQ0wiJdFla1kRgMW+LFFFLAFYtoQUT6VYfiL0+YvaOGfDNdYlaRv1V/dJa9JPu1FWc6T6MN/8Q6vtNW7kxFs4XpL2cRl3dhgCzV9Vw8h3TYg2ZqYadaHIDRcLCyIO1FEZH/9Md/+fsPf4+TcM/R6F6uRz3AKEbUIG4LUqClcVK9womQg1ZjRe02wCLtSX9p/FGNHahS765TiwrB3LSuSJMln8zm8VkiilZK9DgbXMGJhsuICCdA+0aGeExN7c6L33zN3MrX45p7EeKMnTU+P3W1QhOnFXON71ZmZ8RpZKx0NdxGcvJbt0mZZyFmKElIbF+6vazf4rOsyCDZsGrNWkwvbM/3UCLnwokGcOz3QHMbijJoHu6nOFPQ9OcXIend2w9yHWTAJTRAzKm5DyDXqPEdury/4xagi4vx/d3D3c2NMglSbdwvoJ+kR2is1S+MlzhdY9u1Eodb3B4o6/v+7FEH6FeaRvN/MxnchDUq+qYWM2qZ+mTx3g/IzTjB6g+H7374PlvlFwYwnJXxO5eMiwHPNo5u3vy47uOfjcNxzuurr3a2rvvQqk92fQcHWrXoZ5qyYU+egK8Kv8YvLuu+DNOCdbk8eTZdd3EXrJZJmsQb0UipA24Mf0a3dpsl9k+tLiZUyuu62goEVIfPKudySGn5nmBXEZMt+kaT5pRxLCoH7gfFqz46MMSrz2Yr8Gjvjpz2dHG/HV7ai0ivv3UvlnhXhnByZcOqvfzgZvnkehRkfQYRZcQXgtkHqM92birCsS1gNXVWL+z4UevCvdBmtHRuwTsyBaJLrtbL9IvNq+dcRlGIq1jRNlcWKiwvf381evOw4GxUCYKwZynp4CP6gtVyvY627WU3GCOVD/o+d8aLPa5SVuUYgjmIafUQ4wNJsRYqvfnH3/1xsZiXZc/a3IcTqQ+pBYg6KNqJyEkEUYbwWc04kMbIdiBpgt1GENatsBN/zjhYncAcShIRrtsFuFb+I5jyKpKLALuMpZjJTfo+xFLG4tEJ/IE6hMU3Zj/o38V3V5PLOIVDxZ6P+Rfn12hZo3mMoQaMwS+JH5dLBBUJ8GjWu3Qsx4+gLtLGbtbWVUGKoOvRI4EvJgU68bTfXDN6WmbJhcZoeXf7ttN+9folqrm3b3764bvvwZSvX1216Ze90auIrmthON3/9I4F/q9//jtimZyAORxkmtkDhvMl1gg+ONGP/4MrsaAc+6sXfvAQY1Fy0jcMEy4XMrMbaKiec4xicMY+7kJvZ1NRlHq53MAmEt9N2vgdFWXMeYT1JugNrdvWdB8ZkI0RPdFJl37hgYZskIIQ7Tm/W3cUnxGuFzzdUBmkk/HDw8OVGKELyfVIBQ4TAoEMfDwAanz11Yd3nLWPkIIY8HyBvBzkOkfmXLFbL+QqgJxCSKgNotFqjZ8GDpdtqMf3Ry5HA83W/OfeGROn9bB8CP51wIk/IRy2ZstOZElUmnp8YmrFz+Paw3ybPKw7fibn6Z4v0Ll0GSLyIZB0ZIiDDa6x4mJ69T1Tzn9oiAVBP02dJA5r5wBWF232PhU3OntBj/1TuAjm7MM2gyEOhUFSNjJkB7CehTRXU5PuFyIyXiqSFm/H48kZApYGZ2rlUbcG+kJlBCleEdlr4tMeqALUnwYjL80arxEmAjV1KsAJVdKcVSMAAXJWkRMy57Qlp6CtwBf0VhOPUnwYaeo4wDMQtLPu0DBVILZwyxe60uVCzlbI7Jl1t500WiaZv0F4xewRgRvv7NFqFi/TcBnSBL5K+RDh4xVmEQWDophAP410uu8MDidGToO9B4zOvEt/DN8++Nnou7/9wPko9N8c+9crBoK3RA72N0XufnxziWO8IZdqScP3Kqg8KHi7VAZRksq9dxyeYq8RLQ5i3+m23jtAv5ZY3+msNl64xs/CwUlctRc+qe90w8hyiWF7GiYP0fp6iDwmEjD9KcbvnLPAGhCjCcy6V5uHm7vJ1SWimALMoDAgfi2UbW4HTJtxxhddoHhUqCE7G1fO7uygAILy7nj8MJ1eBTVrChRW39pp/O7NfImnrRQzlq/GqIrF0kDOd+53mz0H1aJJfqQxymFhxWlf8VXcxd44uOz7snf5pYVJL5v+ddkOcIdRw2aaelCYyYGWseASzm2i7wTfDH//3Y9/T1uhWB0NunJ/13ME9JCeX7OPbGDH82S4EkU+iij+ifjSQ9ISBb3Jk69q1rMdZUFBB71YzLCBstN1HMp8NRqs10u+76v00wVqOQrPO4MgGPYHgS/XHApW6u6HahW1KTJvKIEHBLRQQUpJnKgZDLoj6Us9tHikGL90KoVR/PJIqK3yeRPBoYTuUfjgqQM5iZj8iicZlfKF9OxS4CPY3SBmRyC4Rp7IlvPkLXyw8Z6xJMNpj+TPTX7g7Yi1w8muRt5z09dXv/2Wj6yCAYSxkkQ50u068/Qu6E60O1AGT4Rolfj3d1P4ls+XOIzYGO4PmoeiXdsOh6fEyntwzbByHR82tWC7mE5xv/P60vKTZKgvEUhxCFc9xUMi55UfvV0eFgzIRqcX9BQE8bjFlbXs+bNyGCXWofqaW/UreAOtJ56DwgOnHvaIbmoa5yvYJMIRt53BaHCFzjLVt5frVnQfX/V7k37uS5PpDecocs1z2uJc0Dqc30ThkLuih9ofh+53G+pe3PSgiey9/qIe2EuSKzA3Gbfm1NJcNFiWVbtuHNP1diiHCse7gx3lZotBukhT2cjnxJxEyzkODi1KUl7+saGjzhWjaRgO/AGmMl+gXGXaDpOPs+39YtYbTkxiKQLR9MoFnRE49HJcynP4Eadu//yHP7356cf7u7voDhdZbWeA9exTr5pBdD4gYOFBaj3lI3yHGqp9I2hxh7Ze9dQXbP0Qo+FsKIdhyNax16vZsAY0voW51wit6mwl7v2rTGSS4GfPddFUjYcj30Nv1UfeowrCDsUzY5QtSVpa3gBMD6KzRlIrgXz6l9lMb+2dXusjhKFTWnEAgbxj9gUp8hNoHr9V+Lp11fQnptTWdQCm0BoBRM0IRExx3Ss88gojXLQpAOEb7wCoE1+xpohU9CRQgga3ZDC2MXNQQkZeOSw0aA+2nMjOsngdsWMoL3CsELJebd69eYeaAKmLNY9ZlfbmxWr+nC4P1RSuT6qRh8xqWwhKkienDTTCdpepW4u6tTDls/uEPqGlwcidt2biTPVggG42G9D7qFNw6JS7bECx8o/qd1STDY3nZeDdLCNzFfgBcqJyCbnHwxKwFHnzEswNZhSgjbwJN4skejnCcE4+Ndc95v5NBw2iKg7V1V3R8/GLF7C9mrUPcO9JXHEA88/nFa5WZRLdZLhprMWKmap2HHOoMEr9eRz1OdtRF5gj+Ae306dV6appVMmZxEKuSkQq63AA5WKM1YBc6FxXz5eXRkMuO+n9ctYbHHG9xupMYJaAJ+Ft4vye2GBK/eab33LS7d2Hn5BSk+maf3QGzs+QtMT7+fkbiHAKG1i11ySnyXp2t3jRmbQ21evPRdCSjxrpQL0s8MvkrLpUfuGRNs7tlhFnXWDI1qBZ5ZauhQJsnQzHVw9smkRygs8Ws2i420MWxynLGHM9SGcMv6Ae0ovkruifFJAzfoCgJS2q0zotOUWILMWAOQNMXVZIc3o31wEopxmAQvUimEzURWgSpEy2UgRRAA1cKfGTPmrEIXepFjA/MDBgOWYhmz9KxR/z+Eh4wv6FJILFK9te+ln91Q9IEt4Q/RTnMFBU6RcsYy8vv71b3+NzuS9uchScXaGfLSbjdDf/yDA0K2yNvEl/4T2CKZz/dm6v9pGF8cjG735yzdNqtnJGTuuQm7q8lIK26yEuzl3Fsdfp/P9+RzWBp0DvQwAAIABJREFUWEgvA/+WYxO1hhj7tEeZwZJsGwntv9/r93jT+vEhuQjWl31v7bXwB+62kLM4oyXGIkz4+N7AXVYwwoPBRHa3DwW6UcKhLF/CO7FwR20uRwhrBCwlGMkQsJtCqzGyxJsCXtZTbr+y31lxGVd8w8gBxL0sVZKRAkA0VfyyXS7XG3Y40+VfjzyXQ137xa0avuAojbrIVg/hvNcfHW0GKwgBMiIc8MtqwuPRUmQg8/WLl74f/Pjme+2uiS5Jlxv+MUnLVd8D2UDkKuXTacyqWhWwwGh2O8M5T0XXuUOzqEIPGv27MxuHB+ZLDvwIdzDjNrku4z2bxeSh/OTyxdXL19//+N1sIT6vmAp8LxgNR/xDrtK02lWvYpRq0j+Vcp7+qDpHekcErBM75gB08H46EOAjiIATEX41TCK0H+D8Eg7gcMorYBoL91Pyn5UHVA3+pqBG+4AsZXLuRQq+20v85A9qyrPnvZzeuUQC+flClQmyErotJ+vGTuYt01yaoOEQhI5T35i5OEJKpeh+gnQxeWqq2M9X+yRS3F5hgSafzE0wO+N2vEjd7e5rm8GwwVxAzu4dwqH2pRSAb7Hl5ctS1vhWEm36l8NoOT++fwFpII6pUw4Kd13uCVlzvlL5HRU/rMeoJ1Q5JU8t9T73RC70HXv+NInxtK9xbWoqp7cj5fjKNMkwXu0cQn/fR9swjScvOP3e8tSZJmX8jud3sRShPrkrOlyMXnBXNGfIyzUDvxayQeALitAQEbAYABwhHNQKWHIjrxrKMrJkBRGPReI7jMHuIJh58lFT22Q9j9vGw6V8jCzGoNoEFKFKHad1WCMnnmgZj84ftZV+QYl8FUw2yTTCoEztAxxDnc7SwgFLG1oZ5lu641gheY8i51//9O8/vPl+On/Y5Yf4yTZKVvkGIt442UDEG2d+G8IuYymmNn63th4B/pl9nG3STdDt4/+11Mul4k2PsIGZh4VnGrqf/UE9IeP+s+fInuPvf/uHu/tbaDIYDElqKliq1xATCFr/BD0JpWxnPe6WlrOKlTLTgBP7VRcUUhXBgKJ5BNrDr07UrGMyfCaRAnH5C0r0IhGFexn/50G4PJk/A1SmR0ics6vEEEMAq8iufurrEB+4opS232oitJVHoe42eNhMZZhx8lY5b8dLp+ew3+0jc4RhHHJsdcPZ7YNN4uVeDXZtRVxB2MsoWIkgWF90L2sBhE/k1ca9dFu3uyG0zOKO3OJw9OBCWYmFMdqLr79WwpUcP8FzNJdDc43azeJNMLnCqTXeAXbtLmKaEAp3YR7NSBo/tlTxrxvgBF78joo+hmW+TrjdNedXH8ObJeZVMa4VNeGaG1zLpTr7Pv9aILyOuGpKd/uQzEaF53cxosDH8/T9+6iv7oouDsqY8o1gTY4vJMII2nZEwMLZLaGKNVM01JAPc5GrxJkIxuoOVqNyOSAOw7OEi5m3aL/kc9kuzhOTOzy88+ZQvKa/WCVZKVlTxWid4zA9h5OeV5wI/UVdrhcI/nx/uXlzvAlnMYat4g7qxMD6SzCSAfHSEOAVvUbQAOlEOve33/7O+eDe3H2szrnoL5PZmn8Iy2wgKm+c2HmUt2IMevhrMF7dqXp+v0gT8SPd7wVZfIanFQOQCMxgHtnTM/FSxGTrD9n+czUd0NKVsp3+CHEI5D9AzxOhPYOABRKlvjR16+7UXWsSiZCfQBv4tdM/t7hiyN2PwVawL/Zrec0e6/NiDkzRoqiglDJPBA88IOgfkaUU0WlBAdZEioTav+LmXNYV+aQHlgYKLGba9obLm9hcwxXOhou0yUYWfF/hU8qAQicJw85vPlr3apiXVmSHVpFYTArFszAQ8dOwVoUkPyQol9hGrdE3wfzjTsM0mHjLZdz1OptoN7Z39VoxIR+IFdj6g6HPCabiZC9vvnv7569f/s4b9FbTlRgWCOFUn1KkKFVCyIZJZm6r54N0jckxSizx2cj6pCBYaPxDRWn8xHe5UVXfYnmg7WwjJas1qiydB861M5fIrl85gZgMosF6E8Yvh+6w8P9EIlMVLkmZx+iFdbS8eSt3RQ9GuMmxuyOHao0ru84vJq6OEIqFO5aTtLiEN4bp3BGIgWAnzfroq0Su2nREcIJIIiQR0CGE63TKtVeddiC3IQjz66AErHz3FnrxyOpIKX4TDHIwvO72uAXhSzdaL5r7yL+4mBiuuWyb89raJONUOEow2O0b8giLEqRX6hZc+veb199gkvX23Y/0Q201SMR6AzGUD+xOr9/1hr3qBiKGua6Xe9KJ5lG8ULYiWds7MGUZtqitWO5NyidhkHfrZH1dThtgEcdbv5audJOJNwA+NdnQU4a+IuPpQgtFCHvzzqnV7ucDCqom6cYimPeqWx8jSLFQPZ06Bg0dATvwKSWaR407bTEpOqJJfKDggVclUOc97s3dJxYtyhSMWzRXcCStWcMj8CFNUa6+OlYpLkagX2TNVwU4oCvCgtxP3LnwrwHwR/dfOPtaWx4vOHRrz+9vV9yf3FCVaoFSsBU9BepFM2rBnpqo2l/KLNeIcqlttu4W10h7XR+/8sk2rAhjpaJ7j6wT3GfHPAXSkIOymAmvN6twudz202UU99bYj8q7vWK1D5YeC7VfvN70262E44TK7+g/uMsGCAYFMMb6uFgqJWwtBSWRNT0xun2b6tIF9UO256szhGLg3flpng7jzcsRF6vIhEABDj5l+GxQp7hx/hje3cSLBcbvLCo2Eqf0sJ3/M4xvMGhpy94M1jgGPSZxJvlslXa3m0k7c3yOoKVyswHsLl4SJJjMDOKB53BceLXZ4KEKOyroiGMqOgWwfCQQEhwUi7JqC28jraF4mIy5X/vXY7RuqPG4CBZQ29UiwgywuGD+KByoyvrFr85ppCsmbOIHil9eXPqe//2b74wFbX1muWQG8Xob36d0P1uH3mh3AhEG4CYcbEjiZbJ8yFVWuEHny7tJzGlYA/LKmVSRvPUDm0RNXlrgInJKtnbH7w9AQ0sO0OG5tvlsmJrCJiXHtfjDW4J+guZgcraApfsPKKYjWTWBSJUEgPJbVPf4vwB/Fjg2BmxRawt3gBN0E0wtRAhQhF+71C8YB49mFiyGkZYbij2+HPW6Foh0VafFOb2Byl1oD/khRX2saAW5UFMhSvBPw2mSrngLzdErbIaD+cdQLtEAGbt5gnMuSyn7/ro2nI5rNSfdCs0qnRtOF5v2bvZZzVf+N8F6GYu+7YQAG0EK5oHZbH59jXvSfEDJ7Wjr9O7mLvhmzR0XeFxA31yCl3BbywClXrsbiudp89ZueeY4HELhFQTGrgWycYDe5PxVRxqbyV0bF0H/Njx4TaHs3WMGJ77EoJJmNXqKwKNNYUPDrtdOuX5czLuFORdpFt1FLwZcNrzz48D8xjeCMn5vZ2ly/9NbbzS+uLoyQBpgW+8/+ygKU4YJ239cuAa55O5b5KrNGgWfy528XfRVMLzIVTJXVgaU3T60Dm7QJXOSbqZRAlnZ+8NoYDwayhcfHn82rRFXo7NlWMxndvF/8HgglxVO49akScZS65gsZBCKuF58tXhhk44MzEvSlc0anSAI8ODw49sflG24Xbo+zgrATZ384xMVf1rukA3dbtpdMbSW90tuQXZ7nG7qDL3RNsLY/DHBqK8ozLZpEwic/utXjviysmbRwjpNN588T1/cDQ2htpHedC9oHOgC265JsjXhTbouaZcnUYaUJUjRJO0Z6wCcX+oVmFO1FqSIoH3Ru1e6CTYhfikMD9absxSN0P+ZzHpOUwJTMZ/XrhimQBGpEzCKdyf8xYTqz//5Zw5mzGcLmBX5/De/+7bf99X21155wY3PHWwC1LCnI+A8PlI5XB0nq47nZ5zSYhe0CW1pIc1ver1X1xMf1jHmIrtPLG6UxgWeIKx8j+2AFwvADi2QVJzEOGHJmd3e/WWb/dOf/pmBd3tz+z//83+gYmFo+HI3CDcy1gy0jbMOw9Ww03cs6UpqBHLRVdAWVbu+PKe3ZXn7R/c7qnsE76OpF9ykcl9eU8B4h6/b8ls9eMqpsBserturCN8Bu3ecqvqwXM+TDbciFieYWKU4cw3DtDGzI3Dp3nAy0QsYJZvA74B+9rG1XPqZbVP8rDDI515761lylbgJ02x/WkMgiNJa4fiKnUNGikxm2Tq5uLzmCRM3dLS/AqI1EUMoydcRsga3BVc+sZpKmXSuxdvGs1VnglivE1nOCCZDaUU36XaEPATmNC0TNMkZvMU2/MPHDx9u34G2DeFAXL63uckm2rqO4176ju9euy8xZ0CoQzb3ur20YefxAEz9yghYIMO50ab8q2Ib0fV35ih2Zt18UpBVIALQDgiadsGmOEBMFxAxMGuJJniTg1+d1QZKAcJhbDR0u9TT4xDicKXVKnQTjABrsAJ/6MsvRYD57EKVrreKzyNSAGUCDXFcHz29UrmAfbMs8oiaHlsE9kwXM7wHYRnER33H6YQz7jZ2wQ5pC5yFzmpgMjETg/X4utBb+3zzkoHLc/r9gANHD+/f4hpQSVEN2OwEmYYMj0gGvUJwMaU5MSXIFl8+dMHiu3lv0o07OAWWcZGLeYqFzJMpriO0FCqwbfSX/77y+oO3P/6IeUm332ZbBMNpttAZhqUiPLZx9NdtuysZ9uW3aqMw6aV4Zuptu9yoygBlqwV9mbbEOnX+K8P9lTxDr7HnrLeDlb4YoKFZ+QZf3oWSSU8F1eziMh9dpGhmSlzZjtat7+/jl/3euHBJSqYoTrTWVm8aWgC/7J4RmbG96q7a1xv/2uEIcK6vUnIV1LEaejAKnWFXBFzOz3NKY5W1X/IZIR9VEng7m95dXFyzCc4OK/qtkwEfrPVzekkbb3rxepDJGeVe62rwqvXd3LHE9xORHfZa83DavviKBRqYhMetYqYgghQTDqshK2MJB9JfffUKbdYPb79ntSy9rX3E7gNP6KMBFx4hYXERMupdtMayFnDqtr1ptE6uznk2fMHWQk8PZDuDjovsrrYRmdmDwRHfFlqooI1a0DSCVxVsNQXiE3Q6uBmhwuRkddPTOLWQwaRTl8hYtWVMpqYIQDXSTRkelw6iNoolILwlmNYS15n5LbWtVPATPR5A9UCNqr92HyI6p+5yDXCdJg7qFBVYTnY9dgDop3+FKl9EkeJuzv5oiFZK7F5jNhJEIsFju+of6SCOGMEhTKGkMJrni9CJV/i1JXvI7ScuooJuVkW8oAqLRz9ps+TkEw5dQbEgMk80JevJkbKTqi6spvhqWy0X/Bt5DmvRopdyAArDfs74S5+qGQWLFL7gXfU9Kta/vrO5wQtDTQACjgPcpaj9sP/FzSXWKtyGy5FpDhWe5rKhBuyvJgmR9cL3bkLohFHPkWaVOtJ+9Ebco+esQnECJFvfuVi9B5BE1qIwSrgCqvQxDSjEa3Jrhv252HYPvac/MIQ36aq9xmXJ+jUOGzse9ld6QpUbc2x6HayMvkAhrI2r8LTe8gJnNLrEG/6g/+Gv/zXIEk0rYDBXz2b3k4sXavOqhUnWQcBf3kv0nAuHS/rQOjMXtrmQJfsnf/3nDz347Mww6rUe7j+0RldqljqzcCW7ls/AqcmtAx4c/vSHf8EkK2o+/cfE1g+CQdCXS2bkksncXbmW3ljI6F++PTbJkX38CnZ5gqg1C65TG8j1RBMHDaoE5u00pwmanQ5cQwEt/DSJDfYaTYsOy7UA0bVoSYtadEqPYodL2siV4vT3jgyld8/xCHzhTRXsio62tlr5J0L1FLB2PxnETDeblHIEbboMRc0/JlLO9TM+azuWokLZ+WoFgz7TL0kwN0cpmUm4g5xHWldq9Spdw3lv37z75tuvkjjeX6WKkVSaeli3zCArqn36X9FUaKqqavlER9MkGFugsyRfNa20Q1EpvY8tHSYdiPkuKgDrmG3cTjrbjhawullncDGZ3+J0uFCg2ZVkeCHibjyZWbg8J4kTz1yew5io12lK5n+cgD8sDN5vQryPHmk484gmCz2119Pt7Or3/cEk6Gycu7tb1FdNgHBtiUgniqtMLtLRUOAZ/O4wCSjgwkH70D/3rgBbXIl00pWzTUeIAoiRqB5EK4DmyR4QRxqCCKaFKtZFvMi1HN+/unz14mowGBTEaX31xz+9/6//PurtTAi51Hw+fxiNLtj7BgKL5ZFqvqjXiUyQXbZa0wRvah0aGwwH2z+82PztFl3HuU25cFpJtuoMLnHdQu+cW7yaHyAEeqdWyMCc5p9+/89v3725n97ZZZnDuVxm2B/2+0MUVtzfzTyvM5gJH6YCLFMURpA03i5+etxmBtzKNhU024juaW7DbDiaAqQYkYgUWmE4lsdHiEZartKElV+7yrPioAIGZxU5kFm6RLWNX7KxYOupiiqMbHig+NFXWgI4mu3cDKBtT6kgr/G34cgsduYd2IpHMewpwDAeTbxIe8zfU4GUZSlVV3lJd7yAwcnuFceB0DfTgfzGnBrCTlgML7aj0QADVo2nyrNJotWf//OveMjGMRY7ZEge0u1so7GRz227W/y40NSzZ596UhSzWE48aTtNYPTLMmiKYBvhyt3Ke6G77ga1Qs9eriMPfLly8LzNVdfcKmlCNxMrYR3WnX4wWLoRZw6rAfT5PIwXMgmidk+5tQu/o5hhyZnNNt5HU3Rv/+Ch3eLy14kXTJNDHt6lt4sO16N11/9ZO422m2Djc4vT1NtuYyUX15CV7qAslOeyjfHVVW86dT0/GAzY9a7aINaU/5ySaAjWEq1V4m7SQSdzCrlKNo3OkatQH5jrlhO2wv3B4OXVy6sXjHqYttRijlte/eGfH/72n0PLoVESR+woDfpDGZOFP+5SwS/0UXSejGtRBHIcIv3pww/soflu0Bm3Lg6ZDjY210sW98to8NXXLDG4yz53TamFC24ajtY8yTxerOmIHXjJQkH104e39A5HpMfDMf8c1+OVhqaFMx03oPQjGDpyl24x8ErVl7mj9HrnAQuwrsUwdj7FMAKf/4MTfN/bZU0cRtW8ClVpF9XZRDDZzo1oagD5SQLW4/pYZJBC7DV4g5AM7iyjzx4H1oCqjQCW2yJrXz0uUbeCLgFt0xxN1scBrJaCgSrTVDXXGSmK2WHtPabPhSnD8Zpj97LUV8EFBLQXAYv5NGAHmt3Dbme5FNsUepD/5/OQv+qY4ZqNraDn/cu//1HRTTG1+tGg43gFnA9v3o58g55WX5nHehys1IpQWIztclMk/XSwVg2Ho8VGoc5F41B5CENzbgrn1gUy2Pq00oLWGw42p9442N4V1zdZ/U0mp+2vPCV+cVuW20uimAMFbMGwUchHMGLas33fHG7a5/124HJG0ws3SdNB7hL6eVcULMC9s3GU4JsAo240WDLL8m3ucUkM24GoGsVghXHoLG436oIz5uHBcMi/Clg1coqOLr39TB4ZldkqcTarQXvrYAuJhkVWlDPkKhrJPI2CAZUVN9jgu8IdTUZXL15PxMfj4WYOhqPV17+LfvousG6KDJdzJmeuMXFxUJoKPoeBfClv0fCsou1db6NPsHDtXre3DeNle7a+aB+xFmpq40V3fffxHRdCo2EisGmgz8U35T89Xa+58D59waRllBrXL66Hw6G4J1EDQa96BizZyGwe7Qg5syS/Ns1O1/FiBqy+kRQE92LrT/yt8F9tPjhQV46PupK3lNr8JtFuBfiX5A3e0lhBo7l1BtTRyCMFLCadJsraVYKrWkb36Kn7r6m4TGefWWhqhe6YUvc8G+4WVxVrwTPALpEXBs0VU2qYnE56PnTZH2SqpYjYEkmQ0ngYpWcxZ28hdfWzKIqXy5Bx6xc+6KptUPyAJj3l2nU+joprejVChZlWqViJSSRvWcFWKrH3+IwEteCWphrWL8y4WMiGo2H8kM81qOuMgIvXhXARuoMgulsxTqS4BYKnTbzxhm52j3mQNHjdYz3EdRCX5IkqBTELHb9V/68peka7IM0kcNZLVuc1ZKmlgiK7vFHTjny4sLuBIOXgxYp7YVZLXFTjPLvneqPJa7mcdZUkUbScztgkUN/02TcjOcxBOKyvaprWpOQvF8RxXZr01qtha40vbjbJGbksT6ppJ6El3Ci8h1yVcd3ypuMEk+vxZDKaTDDAOQmEynR5/fIDn1MPH1xr32c+e+BQoVhrZi2MOa1BcDrgzzHnZc+9vYlCd4W3YS51hNrJYn2R9FrneQ/dNY1pgAuh75aiARMVkeOwCYscwL7hLtMTYlquoha9g8TSRnzQ3+3z0oQT1zu4IpmfcAlrHbZ7+4PNDhqQ73Vpv69MgQ9udrEG0RYCI/RwK3hLALIuopanxxsInjE2bFJQt01o8NZSiJ0HzM5FDiC6bTacnzMucoKlXTP9AVa05WfDhLqo+mnVqfIGhsJdyyDP0hA+OTk/yKc/6ivFiDmyat9d2JHP4vlsPpvO/z/23vRXdiRZ7Ku9WHvVOffcZW7vM2+RINmyn2x9saQP+nf9wYA/2DBgA4IByYYNGHqW30xPv56e6enuu5y9VpK1+RcZZBaLRbJYy7l9Z95j365DJjMjIyIjM4ORkZH9fqfbi8W83qKMnKCEqkF4nUo5tlqnRjywt5QYLeTEtqA47DkRyBYR+rAFFgULFQu9kwPVBH3TomgAPKhckea/mdc+r7PEShTGXXjz6bz2wkFvUGGA5+501igXTdxRPGb+MWRDwDNxeG/UbnBUT+Ci5FEGyh3Da63eu7pC5yBGAEHJvfv58trtPK/ATY43urn5QbLFL8Y3Qo1IKuu1sZdqOz1Lt4pBPvFRRi3f6FXrOcssRq/C40K0q5yQycgyNx2UOQ/vsyJO693O5cUl3wz0+pxAYtmuXn/yxnPLHscnBJ0a1j0+3PUv0LEq9cLalaBxfw4XeyOrl7Xxw2x0s3CI0twpNabFruybPP5iABmsvftpsdps8yHARUOgZtHWqFlnEcJgdCJsofkqxkimild+pEGmjEK+SN1CmA2KjxrNADnb3rqbckgwur4+1w0rmLhVL1TLE1RERVQTN+Vz3Fl1Uw1aEMWVo9xWloMVLPCGkijqwIMR1H166wI5qrdtYXrCg0pMDAB1kc4VTYeEI1oiCuF89xvEBMesIXFblzIYQIiUyCqVgCnZN7UmvN8kNbpdpNnz5uwPknrkEgGAq0jCeDR+fBjBSaC1O5zMnjUWs4xIwcl0JoeXod1GMRCEUAv5o5RE322Q+YjuAtVN+Fialjk6RwTsnnMeqsIjkolgGrH+lgvl2fVsWwYj1GB3YHRD7zTBr4XFxB1l+zSRtcQTKzg8R1kTKfYP43ZbFgh4gcP77ZRjcrdfiOgE2wxFjNarku/d/vH7Bbs7N4wrzt314FPHHbLhIPFS12wpwGJJYg5NNI2c8f4DvaIPFqfj5toXe1WRnonl4YDVN3qyKlUYCVCr1rWGM+i9fHbJBn7poadd9IgXn3/55puvo5sKsT6MHoNNhdix/jw2Fc6K62Vl0RzUvIf5L0uDBluBj7VdRVmOYtpbusNZSQ+EZpidTCa0C61DtiO84GkRhmidCmWQ2TZT8YqhnkRVOKKYpN0LkEW6US3eQbfAMEraAA0MjGnr/pt17VIZZ0hAgCG/8MEuVZ8lQie0qE4C5COWDrMGCyDCdOW75QH1kX4W1C1MexOry6afeAPHQVu5Ayhq4ZGLJuH3ROBPVBw1NgIZkQzw3LgahWIKBfpfJP/T3lJju9Mh8AlLg7fX9y9/8Vzrg5n3dw9/+O57w2PBr07Y5szdsxSh3/Id5rt+r2mWz2INstl1BDx9F1J+CJVUtCVd0ED3PU/rB22ijaS/QEZ5kkk8qALMDUMK9c1hwpo05ci3ZAUU54P1zVrfKv584rvzeQsjFue5oMNthWw4hi2HsPBjz+tUSt26M/TQsaJ9J5QaKz5JdNBKMtxtl4tl1JbcdED72jA+bGib+nPeFKejfgHDqdirUKxyokJe/FrMfsC1Dz84eeTq4vlgoJaMnEBSs1nxJOpctXL15S+v//7XBHmyyYwBbCrsdgfmS21tF4BSAX70L6YVTHGyQ7KxrDqcGXO+i8+JznI68kr2sELmMpyMGeIcx0GS93rBq0alQ6IqT2kCzPjMBcz86gVgl16qx7Nt8UR+zEVkgzcSoGEjIFvZN+arRov5nRrBnwtUo/qQpvC7VfioB7jERVFlnULeC0laHeT00ntbRiHuIkfm3URb6ugbwCoBR0OgoIyS5ooCYY5Hx38KnKO1nPEeVLESQoy6IMEYaAI+ciL/6RX+Paze40pt1wEODNpop0g2LlY3N3fPnslpIWhXv/m7r3FXB1ukEMfDXi/uCxxAkn4jFJn1wcJkzEGiHM0RWx/UvLuakNKQ3E95t6wvizNclDazpTT9s8L8eskGxgCB4/8YxE0zcDItB2DPpi42AnxKFC1+IR/meNU57VaXCFbHX9ruWt4IcHFUXdTmKG9l7OgSFoscG5k4vqI/j5KtWnm+rLmruXSd8DLtsnkkWcbbrQRJMQrWdmoIgVQLcJ8PVljmZ/0r9ieCueW44ASyKs5VRARdrKarpbsuffbFr172ewybUfHLASwlS4yp5rGOUeyzXz7+4ZtWZI8YmwrZDtpsyaZCvn0PChWRUvfPlgzyrkNMD4mJPygSgTPGhVMRI4xgyx9P8CasbdYcGSI4rQTQ4gO/7QWPeIuEB/OIGBfQRfIjocoAxRnYKUVZMxwlA8BvyvfTLVjJhYJUqznRJTMCNNgA7jhgJa56KcIABWEIP5TeDByVb7Aiz9IheWTXABcY8JsBV1+BLjn3ZjsiA5ATOZUGSsXFCi43ho4EQnKSllZRRrqtPSPP3lcAsaKvVPC7wklE2sOw2hC2F06eDOFks7+hM6DRTX/87nfVZgvdQnqaHOFSxjT997/9Fu47Tn1wOWCjFQoWnlrQIkOLalThrySYZDaAIXY4YPFNZucpZh/WAAAgAElEQVSwjKojr5SEnWFrvW48awz/MGqUNuMOdRHa068SVz4KQGxa+2Re0KQmrcZkXpcqtXa/5zSbTBI03fv3d6PH0XQ6akpsernItqSXNBeFZXU12mwy1bcn/jaLDbcwR2tj7RClToxYJaaiHT6cWM3PWTwHLSlZUKt6Tg2Hdw7KUwFTOuhf5ibsSDvFkWHylMT0ldw1bIkQVBqDkoun5X6i9FW1vpjNYoa8aF2MLPRbhhjiYRLGlk+EZbvk4/xeLjZXvcurZ1HuRQsecG9ZllKm1ev6Lz+dvf0+uqlwMhlhKqnLpkIJjbWxZqQA+WiT3VJhUZZdkStv3TvN7yqZxnXB4UBoPMmLJQJAxPJgwWKVCR2r2+0yq7JEoBqGGcFieQ94pLjO0RlaCxWVZDtodKg9oAob2opxNzyfKl6cOYN/JrVYq8v6YMbFDMWFPKPq8Mv9WRQYywoZNtJ3HUpMBKrMwC/2SlGMJT71IzRQL5dWxA3kcT2d5pSTInDImdNibugIfjRRCYnRgnih8Qbzwr6h6hAcWHILDqw4pFQ8LwfurmYT8SgQoS29/e47xOiyLQkvv/i82ZYIDqaMtBQCRg9HY4QiYv9KmBx5J9oWbvIz1DTP6zXSTegCiRKJrCZxiztgw4779Q4w735Rvyiv328vFBoUIz+CklbGr6EgoCNaN+F+ehcDZBI3f/KgUBLg23Nbo/u7KhvZjO1EmLxeV53SZOa3lxtVL1LXcbdrKsNezy43jnbjiBF86LGjixYYRfE42H8Wpdim2W/WbyesvKbSI7zakpoCM4J4lhK6YB1Yi5MKC4t3FSwVGhWUj6QVyrWah4/OThwP0JPIVWY/ICuIpXpzUljN+q7TI6pXefZ2wtDQb/VFnk65cpfuX11du7P58IbFIFvhePhQ0U2FeBSZDzD76k/oZlrm2xgz0aq2qLA34GyYb3fzJqc6zB69Yl9dAxFOLm0+BBIdi+9epn80LeYX7s+FBkM6F3Vh5qQi7lX+BT5daJ66fzBbslCb+N5WJHXOT0SYmUTTCeC+q1wmFgE9qxqCM9wA58SchyYCigueK+eVGxZI+iBks0RuALHhYyT9jLeKJehy2bq4gQb7eFB1UTgHFTw9M1VbchQaJHDloYWypyOQDAHA2700OVtCaqB/6Bv6sYEDLPmHCQqrFOt5jRZxUyr0bQSai3YjI+Tw0eN57ujdzdWVhCI0Er7kSwvzVaPON2vG4p2uEiYgZJKUmA27FrNlqV4sRGIIIzqThXfV6Y/fzWo29pvhMC0kFicAyU+w2KYQ0+pjkYhLOzYwHId10lndqdVevny4vSVypbTdUuAtCQxaK8wnS8xzadAOTQdZOOkXOcvEGLGIBy+nGnIE74YDh8L8M8vP6kmv0biX5aaA7bquJ+Og0awITEas/ijVfG/jgUVg6kJ4PlX0rXI2GPn3sDlbdqJQn/AeXbFE6EX3UetA/vVkQFkKREU0zlWvrq44d4Ejq/+f3/wnf8SGSjFyFBfl3oveqZhZHuzhlQwLV5989uZbl0OmEjYVEtwAh/c5C21/YheKwqxOTPv1cr7uEcl1Hx/2k5fOghadfzYs9J4xlDE4bOk6Bq6Ow8xEeMGTgSGXht5fY44cwOGSwdCYcKgI+PS1eboDVjZUa74iWzSQR6zUZn1w3/mDsYI8wh8ui7OSsJvt0BTlPKUsZGEFnDkIECM7poiDimRkpnqrf3ADqbQTaHHBgoyCB70CJg1/UJGcmcHf5uSeS8kBf+4NHafQAoQA/KYaW9+HuNlSpwJdKkRpt37BFvorVUIzEHYInA1L0Ks26DebrKkV3rx5N52MRa2Rhl6wVb6BLTjiNAMQp92dDB/Z6CvfMVSWUi8QqMUgoznkfjlb4POwdu0rsVbINj63UnTKEudT8jL6GQbrvQGR84d2xnYV1isWLBQsyk7GY7zQnnXEXiUqZaFAiOrH4eOyLAcbnvEC5YrjeNNpeHjOSo5XZZXnH3WskMuNammxdEY+n+/MOvhhBAOdSkmvWW1evvjhp2vMrlpiLX9xZ2ELIkFfVaJCWOZvIGUi4xlfAoFMbZX8OR4goNbpepMHZJ3PfRMRtFhutgdXzwfPLth6ggwbIous4v/NP/kXRKv49fV/XjYq1Rkm5j1rLskEWZ7BYnufnHUrFUSef/HLt9/8uiVhzIJXfH0NH+/7wUmF6z+5TYUsuQbrg/66f/T6oArrFreSH9pl4lzcrNp9BuDkHGaT3UFe8GlwdtMZR1UrUDVrydlAJ5+QA0wOct2tixS6s64Pwp56o5WYZ28i8FUrQKVJMMLtLZ+SAf7bJtDp7zAFKwXs/mQqo2I7J2kBiORSXQoiz6i6RRECsvr9RRNPuVfGKUVKFFQAEAURWvT+FPhaNhgA0zSL0yvYghBrGVVoAnPOVsadBz5YqnWHw8f4R2gsG9FxJ2OQ0Gg46B4Y8ebjR3zERSerbQZ0+NjuX3z1V3/FrPDu7Tv8CGbjiY9bRkHM0dK3Ite6si4Nasv3EqUzTCYDS4SFcq3IGr1V2nj97PKS06ZLTqkgh6XJBTC0P6RuS7nTd+m/2r3xajBNLyJNnFX+vX97c/P+Bld9ej2lqZFXD/f37OSSQY+4MEdfhjoAhngb1AsFAuDI4TkSd1RCbjE5/UNRsGxrp7OULO16Zb6s+is+CANVm8G02buocJIaMcW73WeXg2++/f5xJKEZcNriXxWXQaRsRxuWFlDum3Fst1rb67cldDfjB0pB9ogDfN/qeeMxDs/tweB5t8P8Z2QVJdJyUKhigbtcKX/W+wLvlF6zzwM3ByBqgWmZ2GMOQBwW/OzLX938/W841dheRCkzmwr78JbrT2tT4bREtDtZi634pUbzwPXBoJ9bTuS66ZQWd8O7Uv9Zdm44GfWCZ53hjNMuKgtTYAnrcEo32IzTSVhiZ7WCx8DKsJyUS07RUfAcHsaHbmKe/IlM2Vz0FwYHSh1h0GIiMHOBmFQoHrXmyOyQHxV6Z57GAKjWp5B5lP5hLihJrE7zJL46SyKVHw3HksMNQBQUv7CSXyji5mjgmQU3A1W2XGYCSXyppJg5g0pEj9pwaFNrYtHtxHK98eKz13zT00/D+X87R/hElXKJQlJsV/AAXz/4/nrhkiDrf/IdUaPj/OKTT37xyWtOZhBJM5Hu8B5YXwym48n04Y7gdSE8+bte8JleHr3FF1KOQQQ40OQFRms8TFeLcvSQQYyYpcJ86RFaHVWf7c0ETBxcXvz4w/vHu/vK2sMIJGX3X5gElkSoBzGMZWSHouHD4/W790gZKiOXwAAFzl5hhYCYe3ih7wcb5gjKy6OU4n8jvbsQcKxwp1PijuLtDu4m7uifgRHrIAEMmZb0F42z16jfjDd+0rD24urK5sVU88//6V/88OO77396x8cRXoKyJyNJwbJFuIm0TzRZWmnTi7be/AwPZswvPf/0M1CKIkw3WS49XPhY4CbWNtkUOTrOi8ELiNNHuicjmwao24+9iuZp7eY0Gv3Pvhr+/u85+MjWyKbCiW4qZLyNhEeyGT7OG7g3M/sH+dzuFerBoLQX190evreIyYDoihe7tNaOr3s6BBYKudgGTpBSdALu0/Me8gYvcj/VASsbkOzqCnPIt3fKZdcHG61uVLZTsudKppuoYkSPyGPQ0v5F7RS0ZRNrOkDB2iWGFGril4tqtAJTY2CXSqxyNxEgabrXbuanS4GKKDlKVAY5ZH4y7UqoRPM4nVio2ADRJpKmCiU5/LvJc8hdy3wWUwUzk+/F145VneItF3XKkO3qSIAwLxvtZrXSkUPfzEDP0N9nSeDZJZlBAVsCX9tkI+tkPOGri4ibbZzjI9SgwRQ4mY+9gav1pDArLUvtsnjZM7MyrSwKizqnAIaX++g2rxq315OqOMAX2xeDi2eXVM35pUw1rO4txo/W4hUWSv4LLdPpTIOvkGM6mT7K0b9Vz53bNQ7QhBCmsenDrNZbwW9KKWlbQA2xStOm/2zlyHiQuKOMrnLaIQ7LeLtjQMOWlVHiH9grXLAGzcbsITzqcYd8uvBnn77isIHffvuHuTt3+i3xDN9xKIjOkQmNGID9iBhvO30itmgAvucTwxb5ZzrRb3dDhJLAMMg/XpbplfTBPaNcpEvuMPiAhHav57947b7/wUk4qbAumwoXdu/YAWA/fFYPG3pF9g8uPdYH94UWPUFqjBIsqtXYm09XxVbk4yEn1ViwuGjpc8WCZwDEqzZn7bFs7BnVFJo6NYA7erYxr8K2epMTiESBgQ8UiUE77hFR56LX7Bq0GCu4LIaqkO2tJa+CBSXQwC91W2K44TpdN4rC3IvxQRnSIJPOBb/4tSzjBubmJ4eykH8QPvkzW8QOKIL2ER3sjBqViCH5NjpW/gp2ctK3FT5GGjSMOXYsMd2Au1wqG2weZMswnKY0Uot7u1PEBSSKqCgfjOZAGI9HQoN5yQRwfX3Lr1bBtzd6V2z9ZjlZVTkk7nFZrZXd0aJgFxsXqBs0jbaOgFt5K1Yn5y7HK0ibYX/Szuk06pijOEZk5i/azkYh26E1SABzd/hQKPRm9XqzKU6jb99iu1rj5M6Qyj53W5B1O2wkj2/G5WfCbTHURcgO5MbIT3BvS+a+IWAjZ2s3GNSWaFcmZAPOH3/enlhbgrOfU/VK8arTWfroWKnuGt1O+1/8s79+4/6Aq1YZ562dvVZGeANZsoOsrZtWVRE1KUc3poV3hhtRkba72C5QRI/JmX9iPhZ7VhDLO+w15gvBLH8zKsqnTjj/7YI6V8rFy5dvXXc+vo1uKuSkwt7gknOi1gU+4v4EYmNNOOS9yHC1rrI+mDaknCYmJpomJz0tJt6C7RrFWqvbvzx6vQxdgQvBPjoWvAoAvaDEsmjaCTmZPRdpZDJROGSMCkBUukTZN7nE27dWB23kHAHml4mbl9HMR99DCJApzhzBhzSPQObSxIPAJihY4BrVPBQcNLBqQx0HQc+Tee9AkAdIWh4YBN+VIjsy6mjIL6/0Pq34z5geQwyZi3XJLb6Zd6IzxTKlEbALLi1nZvr49tZpNjiYDGQYohEcRJCRmF+GY2UvageKSKvV4Fwd5Md8E4s9u9HgZOfAM4nik+kUrc/2QdYcr9/fkC3gA1Yqibe1siYixWsxXrZfdcf3D+z+2rLd+OsiylJgioAprPyU7n9/z5IdO+7QdvhuY9MyeiHms7vbe9ynWk5CX0ikHjq9x8f75cr55OXD/XA2DUziNadajGwBAaFWB/Y4xgWIlSea0OhTiUCPTVxWKyxuYbZj5mEXEfwR7TmnGBxb6Z9WuVa9PBoOPQSOtki5UC+ciiMRCVN0bOUoSgvfD7swlOH8fgycR8r2xKTfJsD0VBkksUNzRQaWgGi4UquVMP2azh12yW0g53p6/tlnb75xS8spc6bChBxxeB88YzDn3iM2ybkqewI4zP/ThsQXXc5XvTVB1bel5WTUrWo19hY+0f2cFt8ETqevn4unEMTgrF7wqFnIAMMjgrEXIDlVvyEn2voKfS/l2mZEPJPRnALubBwt4rnw8Qg0kFqjpRM6IqF6D2ggvfZxp2jeBMByQReguDS2BewlERB5eBKtiQiRm0kOcPrOTIQb5gKaV0+hXVEdwA9FOkpA7B6+AJBL0zFUsLrMY4yiWKnjHqnruIJ5SkkDW3sUD9G6jB5lGysPtCfKw5ra9R9/LH72KQcOojmhtYzHQcR80MOgxdIeNh2sRNMZB5HKFyjWLGLDgA92I5bnMGgFuJn8DPE8UpZFN35RgGADkIViAhSZdbco4St/VawQLJFDD1kw3Gj/Zhf+xplDtdMiWpccuyytNnO95gKbdJEg8pPxCJgyEsLksAsEWKX8Aa/FZPT2jysc5+lz1FQpMdqxDU1CNksv4n/iyU9nnV6jOpYgquiWVJAC7/hker47X2CcESMWPCijQEpQp+Mh/pwl9/Fn3/tE3CnUrhaH79+XX/8iYx4qcbhRsdDpNJrr6u39MApqU610w81TJI+OnMH4GUn/eW7NBJGIZyo+dAH6Jv/4UmKisvOC9h3T8+Qjin8M1/L99AQf2yDHWP3iq1+9+e3fdeg/IQV8lslJhdix6J7rgrvYzE2p9PxML1zWB8s+apZZHwwD4J1BLsQcgMHRn8uC4BzvA1Qr2SDUZifdGcCH7EIMULN44sgdLmZPVV/C9/KXNlLx0KHYZkBFyDghJwph9z4aoCHNfEUpG7Kj1pAzcKMX/OFi+KWP8wtWil40T9o9FHHJ0G0uS5HNrynkoWuQmB94Bc1jF5yFqzdwM497e6xUzkeQhi85M8eyCVcMXzRdGQpFFlvYYe9jZT/OR0sRPK/WMH5wYKi5zmv9OF+PxM3l+o8/oGPBagTJcyWuFZcEeV8srl6wPegLBBe60JY4PQaNCnrEcWCxHI+njNPdXpu3Mrj7Pks0WBE4+NlzA78Zmpce7c28NnGL0X+2mw0rEY6wS47ZQaUoC4+oiyzlZalRCFW3sAgd6Fm9J70IBWs88TotkLm9uWNpEqtbOJiHuff8JX56EV93Av0VOOFH0ApQAwctWplVVrNVRQ53BjaJB9awB4HI6xqLsz6u+zbuKP5YrFJEcvxDv0WIWqXC/Y9v+q9e4t6XyI5KsbpYe6Vq8a/+8qt372+//f5HhFNzqlBxX0KJTudr2PKJ4D9cIhJIhzq6vui6IepUCCeQasSYoYkLHcJaqcM85/mrmwpv//7rTqSh5KTC4UO3N4A6WSw8dso4D4rpUCZllujl4KGqX5b9g5Zt6UX2vRELDW7sxKpAtVowxTc6FSzyTA/NtlhWTHMY7eLIaTQRAbXcqBc8c6jqLjJ4mmt3ViWZrrE4+oScUF8HDup9Ikro9BqgATNyo5m84k9xmEVxuEIvyDCs8JZLK7KlEuu1iUDj4lF1uDylxOhqyyfeKE8TX50lcS8CWgtowLJYjVCr3Iyl20c7MtqUM97kxDyjRihSDJXJ/EIRoqyQ53OiddOcexooA37qK53xU18f9gLvnze//0Ox7rCuNx4SUoEYceVBm5DjravXLxFiY4iSeYkbsztQFiP4R1is8WgyGo4xcRETEps0AaVYU+PkGTIzvelaIxvoG5WShkWBM+7Cr5uIkOShS8+n/pLgkJzxYVbh0qc/IUpnR6Hem13/9Lb/7BJDGlMFLlxyJFoWpzeiJLn4kLYdJ6UUBcQkErm0lSMJ57lFivyCrIgS1hQTOaulxtv9PMD/bKAwaLdWq3d/+MPg5ctWJ+GITOyP/mqKkRN5ePXyqt/rfP3t7zkDCQ6I2JhWpgXVAhpjy0YYYi9+pkfBU2X9WAR0wva8jHXDYq1U4ZAschp7Vko3OAqBRrPZ/fTLyfffNnc2FbY4qZDlFBPf6yjYT1gIyZnWzfmDi3Wf/YPb3f/wikPVar4gEOwS1arZHfR77U5nxh4F9rYw5JlFK5qAYZZPXJ0+Dq8ooQTyw8ACQNYlAI41i/uMgEe8LRPtOO2EnK2BMF4dfGPS01TGLjSjeA7zjMOIpledpo1sl5iTRBVgqIAtdE8e+YUQLi3CY7bykAaZdC0IcLWIK/DE/PYDJfGtJMLlo/FIBRq+gFoaJnwK/oI36fzyzK8OXkewg7K7wGN1nfKoGOaEQOYoUZSCItCjbRIhGKo3UimONZnzfyKQ1MRzDoaCJLGz13MPO0Gz19J2gz6CODRbTbxbLBo2sjYpmKwe7h8xdT27GlSqMkyjiM2m03cShnQmIgeS63W7Ue00HcJrERVD1gtRsKpeaV7CR13B4r1OrClx38KCRQ/cP68Al9ZANfOvf/iRVX3iSNVqshhJfaQr5xWMZBUsqMokW0oOvxGV7MBSFKCImPD2XcSL9F0PIgjZAAWYFRmn/tzCYuXgQzaf6tViZ1V+ePvGc3tsWLVDrZZCh0dRQClGsa8UymyJ+C/+6V9+/+ObP/70XmTA9r50NE4VkWzsD3nLWHNI9tS8UKTrhkwkfBExF4RZVZalH/GKi6FsbixaYYZT/6JKzN3X7s2PThiOH4jTyYigc+akQg/cAnvGqVWdrTxH1i/LeJquOTH7IhLe79AKhDT5uJxjsRoRAYzNLM1ut99j4zMmJaC1OzIeuSwXYOv35swt8J8LkT5FzaI4l4yNZryL6g3qacNmQ+oVx4+kwWyVHl80vdMIb6IBGjIOeLbLiHUnvj4oUJIuw0nRPnXTNxTt2t6SyuVKA7iqRvQLqrCP0cL7Faxo7rPfq45M/7SQaV2VlcQmtNny3AA2TX3JU/yUPCKnZoyzwgo50JWfKFNwI5abu1PQCssyWyRqbPtqMe+jmYzmoVDplXb0NVpJoT3oMyhDsiooZIMo2MK4oKoVL+AJi3S3N5KHrs3bep2z/lr0cpYL6RX43eK/tSi6xdpifU0UdgkfGvX/WC9wrMLBnYNOiviwp0SnCykP/gbTAxoJ/0SJitglQFJQ1iwys57nEraZFcwN6HTA5Kk4jU++/Apfscf7e3/KST/EDBMGJhaCb76J+sUqIaHLsYui8f6phWxIJi2R3uMSqaBVK3N4E6tNN57fu7oywcwCYERf43OH857xdCG+Oalw9YtPX1/0ez9+/z3KOym7/FfBOZeQ5KGLLrNga+1ywbZbXKJ2i0gvOzcvmUi4+M6hPzKuhnwI+pHyql5jjqmgZW32puwid0jKxcsX7zipcHIvx3CFV3BSoSgauHSiYn1I3odI7P41WEyIzsD0NV85fqXe2gyHu9nTUuj4RgdYuPP5WI5zr1Xb7X6/27+4EIojF03ANwD/KCKjxOOYEVSnTuRWzTY0WaRE8i2ZubRBRbTSi/B2MpmYemW3NmuIpFigAJl7ErP3iMsu+NKYaeuDNLRasPiGZm00uxZD05alSukiPWrQygaS/y1qBhecUU1GW0GLbzSbRHAoQJRMfHVEojaktiXFuSEF+CCUZ9Y5tEao1YXkQwvmzK84KxX8cpGiv1AEXacQFS/LCHPekWQ/QDOo6chG1UH+zZf8Xi6NhqOLy0s7B0ARbLm5uRk+Bo7wQGCD4ctXVxLZQcTBWBxletBapVLUhAW9eFGodL3xO4/wvnwsLM1sFyDAqX/mPykuURKyx7WAKKoLtUzRewyAAB5w9pJ2dAbTrAErE4GQgYgXly9eEHOVqWw4HMG0Qq+HOBFW1J1Mlh5nHUprbF9FplvfndXFE2uF0oiXBjrWn3nIhm0W5HlC8+jWK/czgtz6mLIavUGnh1ueFEXqcJ1hrvEXWzEdCOKwenH18P6t5JGvpm3e65OZ5uN9Ng9Ch+QR1WU2A0s1ty5nc9ctlTnvNnJwE/CkI5nFo0Ng58qLC4xLqN4ijvBcNk6pHZikYoSWf4jr6Y7wQHv++edsKiwvZrSLogiTHx/u+heyqZCey2nQtvpcNJw3U6TuOYpOjZ81J5BelZoJfTSzagpisuIfe1bGhPcjCkG32+n3+hcDeJ1YVNhtrk67wkD67t0NKggiyojBxRsKGrBbahbp5OFSmKaltjIk1mUTAaibDfk4QT1QL3gSZTNSmgVru8dYUHpD17Hrg8b6HiAWyybTqUmqVOuJASmUKKgjF+QnaoqGMclhrmLVHfFoWQ0mynmq26NgkZUGOKIyCpqm32KtkgceClCBk3gE/DxFgG/rypM/Tx5LF9QhXvzGiMoDJGeeJxolg9ojQ4NJiagV2mjaTDabvcmDvWQuckzH2zfvXn/yCxF6A/P3v/vDzfUtr2Adrlnk6vU73FuQs+K9N1lftMMDH+TYKREPb7pwrmrYqir4GZfKi0hId3bO8R+gcMKKWrYMTFOrqTxAX/6oOhXexeZLUbfMOmMopRa3k2+CvgAz0mDjVdF78eLq+fOezPqSny/Uhwc5shcutTod/s3c2cP1NccVB+AMWuBMdjk8R76fiTvKcqrsixTWnIz3RwEgSu1pCKGddJ0aOlalXnQf7+burH91pX3ZGHYDkduuhBYTRkZ0/6332qBpzbqV9YSH5dzn5HBxtJevCNlmIfs6/KnnzUrECKkH4eVUck6oZ09RhA2/HC5UnMR1Q8rDTy7GRrNsePz3M+Pt8y9/9e63v25jqTY9AuB8veqmwjLx536uTYU7/YrwV0sOwORzcFbs1sL9g3t4Ka/58DSq1WI2X0yk99arnUZn0OsP9qtWCl6+vlyit/FVv9nfQDOxHAbTVD+TYQ2hMVYA2uXElTKgRb3gPddduLO0cS2776p9RQlhL7ZtZU2xvzaAe3T/IOLBpUVE2NLNbxYONyAfM2jlLBgFknGvKgFY0QWyFCxQz6NdAcgSaWuFBqrRRrWJsRtKnZewGPwTHy1d3ECI/irv9JH7PPw5Ho1wQAFCtoweWoWoHEKPgWt+oUifBJT0xBMv0VFwGx9ev0fIXv3iJX6wv/9OtSupmZ1c7OBrshbY2lpNx31oWcbWLdxWDDSmA9vH3VFNArMviceAThX55OKMnGpx7a+qXpVVRaBvUBdCtqxTm1ebuw3dm7SnuYPFYGdlKVYJb4kv//rTT6On7RpzgJxWjrDh+oCPGnst2a5N0LHdVmK6c6ez4PCcfyBxR2NMzPeIy2C3Xn1k62W9uvJnNz/92L18hmN10Wit7AGLgZHeYdid/s2jrbHbJjFIJz0ypCLPGAowD/GZIYvi5uKAg/Wcow5mhUqdI0HRe6Kd4KQqMwsjllwM46hZplLtesoEuZdXfOVWwBlNCxk+hj+MFRdf/vL+26/bETtOsKmwKycV1gprO/tm4nuOl+kUeISBQcWZrzor8VbLUxkWd2JH0ZpEOZ6gmVXrtW6j0+/3Bv29ViuFzwQ0c12GR/iAwo2OZeuF+Vw6kPJWb2ivQJRtvtNuVNUG+NEn5NjQVnQxGJeIDq9stpYJ+qXk6BR8NEU6mwNKrKHG7kVKIgJHJIIVrZOlYDE1xvRcULGXrRJAXGDGr03McwOoPNmOywF2tAgAACAASURBVAPwg5ilsqjUKSFCVTpdT4p8QDIqEDaNk5lk1KmQi6aJRIOJqh6HtVsIKsdfnCce372h4z/cPzw+PPKBgkPBsytj3k8qXlk7jTYzhW+dY3SrPGPI8mZaKi8LSzQLorTTDQxf5Fu+XJ+zMiZRqAoYxQ4UQoOF0h9hNECMKpSE4/40f4ErRqFejkwI8u1IQSoyf5Lg43H26Rdf4OPCBiFLhaiHhnsoVxt5llEgeSRaVSuy93IlB84TFgvOs5XpqHltP5lnzRFh/lnhpgFzqqylVrEZsKBVWi+H1++8TneNQwunDe18YdSb7Vpz3KjWmfzSAJLOcJHx9vRXjEYhm/DvXjCbI/aEtNZRq8q7lU+UpFI7MH+eXmMeCIglXpXZ64bsdOGfqlnao/NAtnn4Ept/8sX0h++astc3uPSkQt1UCOPtBBy+P/fffW3bX1TH09nKW1/Wtj4aE/GAaWK1Wi6m/nzKQr5RrbqDAaqVTva7pbSV7byD4cedzVihU6kDoIlh1rCaLilM8FGZpCxzOr9nV7OY/hfusSfkiAuIXus0xRRitW/hCIEwnBd/WARAMBCDkwlme0a7SaqCpQ2p7cG9thO/XLQcvyFTjvyLQgOcIwvnKAbmaWyCHC7VqCCEe6HqcLookgORI7MA3HwuM2qaWsKRdS+4QJ1S1MxqlEwYu5jupuwFfVQGvqvQsSg6aNWRmxcvnyPFapfagmcIZCdXsepMHmZeYVpdO05N9gZzoejX8OslRPK6zpmDBbwvVPU0TdAsqftnAkmsUJBFQzxsVZfwQPEtLsO1olNeTeUbPSF7mCRiUCyOV5NqqeIUZGlgXpaxc0fBQuOnTYNi/I2giwwWMO7f3d3GFGqUJRZVjddwUFCqM1SH9W/9JZixu1jgAIKDrMYdVW/3rUx/cg8h086IOCDbdXx7mOeWGD7RRL3Ro0eA2kYCdxnTm1/+Mqg9CZknHQo2VJuWtyKEBDGv8Y+lQhOgS6SUb5iFO1kuewyAm4JPfwcH1JjBFJW+bshGYXOoIJrF9ty/F8HexQUeZ97tm/r2pkKprs55NIQoeZpNhZFemo1kvVT5ctn3S0tn+8sqVorRbLEg6MJyygGCi3Wp7jg9FgRxtsqtWpkFwZhqRRhBjFOdrigfsRrtI23EW8YandbPpaZAUQlH2WX8LNqg3qT+YlFiSLRbQemE1tPOZtAba6EkkjNoq2zH1MdYkSMeVWFgtEeoKH4W+IGCBdO5ojoHNDCrwbsnGjsU/hFcyFkEEysiSGYlSgnUslAEXSeyD4AAyYnMEdlAkipswc2dTQpuorlkbtD/gpfpowPZUMUk8xNdRu3QyUqYr9/3ZbZzSxy+aJ3yUv4TIw+NRWR1jjSst1cEe0RVefX8U9ed0GDVQnkmvREXxQJq2NJdSgCIEH3+lgmOVanNfY+mlbDvZCsW7/muKheelTuCwf4LMGE+o8T0Puu/+807BzNQykUzPcynDp78zfJ8uHSMprcqrYqLYuSk6aCw4TbwhWKpCb2N8kKC/PICibWmO03FAUtIZv4POyIGgMieqgS0iNPHXmS8nCNxR8Us849XjAMwtetUb4kJwgpbfb0eFOvVxng0xrQQyxl/jIiJSq5m0LaMZz7fc73VmVeqi9mY+Swqz9ItCJMUqln4At29+dFpdzk+WaeK86GwHxLzHxcdOWndkOIyGOAgzz9xz+L/3KPo5atX7zipcPZAXBWLR3BSofHmPvOmwsO7DBoCxy1Z3GI3zDmIFn7sU38xw9WhVm90CWw16PbStWEZxIJlPqAx42DJtqoV8sY9F4Mqb9nWkmdKohQNRH5kg7bg/kS5leLHnpATtTvWIqpzjHXh/sFCo9mN4Y8Q5aE6BjDjEWgKUPnDPVVk5M9+BRDRsUCaK6pz6GN24Y/trfTdUE2ELu3nhjIh7bzYUhGQzwtzB9pmHKH78FZG1cjgzj3/HY+FQtup9VwJIAayfFsTk559H5W67P4AXeKRQgj9Ag2p2WowFkdrXM+Iu+bWltXWZeXu9zPG0sl4gkIigUT5qlitakD0MHQHhagFu/EloSGfvxgTqFQCh644UULctiaTgj+uzhmhojVk32/4W+3X+LpiyCwEUeUTCi7Z04Xr/ZrFy81EgZNYpRSxDSMrpqj5K0zXJjO/GxFC30JKmXGIZk92XoxGY8z+WqvoWPBTvDb8ZoqngubEQKiH5/B5VCF6Bc4Zop4dwAKF8wF/M3HbeUmAteIy9cizg9BmSO83nNvpdAmnKtVOr+1PV9Prx7uS07+8jElmAHnTYvGq0t/Ecx73jPzUHBYqHYR7MZsUV35E06CJRc0y45/MVN7wYTZ8rLfb7R7RUrZ2+B9X+0Gl6IPhuiG6FKcM2D6uTJJGRc75R07Zb4hBa18FkH+lmwpXhCwJxIK+NHy4P+emwr147MNz9z1zNNYKsyBoVKu6Y1Srfn7VinEvuiAI1SY+GarV5mM126N6F6uomgX/o6B2M2ek0BYL79j1wfBjG4rSImAxCKuVC9NbzdkcJ6r4Y6lBwEAeEjKQPOKVwkd0gQ96IqI6cOeGhcSKFqKAoqXQTs6ObhQ+FR/dnBYOQCCeXy5LuTJaWuuJD8mhUovJ2W8ALu1a47N6hioCfEw4fMAE7fsEQ8BZSAA9Wdeko1eNOmU0KjpAIq8q1fXokbgqs6urS3FOD69u/dIZ+LV26c31j7Uu0VZmfGjV5GwI2TaFgoHQtooSiAWFA98FIhpcvXiuUwi/DOvUWG6UnYbDSct3/rXPKYiyiBdWsP8v/JXcBKJpvlhXOe/CT++65XVxjjqFzUqDRFAOF/7ykgOgtUphSthugke08cRIGb6Uz1OplLjJjhxoyMYcuLONLFKwlPjQ+4gpyuE5HANgQjYwLMk/grAewILtej+uJ//Ff1f/6X89F071SrHnNN65Y1aZJtNx97L58N5bzsY3P7n9q+e1etJ2sB1GaiPapjwXbolwaH0WxfiHqMxnY3TNqJqFdX5JnACMnkT0Kpbn49HteETk6/ZgwGLUDuKJNZwtEYaAI/+YUEz8LPvVob1A0GGg4yRpAmgx46CDZPOQnv2CTYXf/LotHS7Ak05hToO+lE2FaJZHB26Ids0z8YAvJrmWcoCgtyqWCZGJ1epi0OlitbJK51ZltK9emiqqlSvhRK2M7apW5EQFqdcse7cAZj/o7E8DwVua4Ih5mYZYsMHi8AuKFqGChQzrh+UuGBtftOo0QDKWAZy54Bgk8As52SIUK773EYZwAZmq+aUuHjNKaU7NACbJTUKm82IZQ0jbMpaY8Qg+XKpOWdTBkAuCdwuSmVe76R9niiWNGzC0mNM5JZygnmH8cVOD4uC0O0QI5WtCBXHDamiKIh8Oi6ytyCHQU/f29h4dS6wz5sIojslr+jjBfbXTa7359VscttpMg8Wi4zqliJdrpdH6/C9+1WTzl/BN6mBVgl/6mMvWGlYT2CbmlKZ3bGDG7TSseINZxp1AY3uPmIzK0qlkNBQtLQ4EKmrNEiYuXO+X4lomkU7RF+eFjaO6rSZe2LQ1MLXF+UQdzeflOlr1ulavPTwMV8T70hFa4uMsIL3pYAmMDzEWvr1Bx/WLeIJIaL5lacVXCGNDgvO2LfAndbP43f+EgnFGlHGdvlg1bpCZ8tqv4K8tAyimyft3b5q9Qbvbjbc70mHb0t5Q5sOOOXLaVO0CaZ9Px+wijM7XiJBsNiywVCde8IRQe/hpSgzfdm/QaGl/OSP/9oMCSS6jSyXvN4TDTJBczF/kZBJLA4o7+MXnv7z/7rcc4G3zcAgya4Wdbh8dC2uDddmxGfbcRAeoPVlzvtaeK2YrPB68dalcZ6Bq4knW6XbgQyIUmKCXvmU4lFHMNR+IZqxIVK0sqF3lw77aewPPyQMEDBN7dYgoNJAsrXzz/R9NDu53xsutPIvQ7YFU3CC33kUerBLWaHUiyVu3CDwkwD2dfQ4iYQtQyoPC5yVth5Ryoxyz2e2sZ7pe8J0APgkKFlnBz5Z8ihsqBo80yLxVXYob8mjOKN5pBW06JMTot69+9hulzvYxpQ4xjfHc0G64ZIaRQIXYDCk/Ox1bCDR7vatfvIQK1i62XkQfdpDnlGWGDHYI/ubXv0UixN9PvAkkrBX/f/LPrhhmlwu3xZhqFsU4ONnCwzn0k6++QDrG45HlIR4ON9fXsvXVCBciJif7lmfRCdFCyL7h+J3WZzVvtihW1oTdql1U3PGi5ksYCEuHgF0Va53ywiWYfMFp1RbTZZmxAltRQsdKrtB2A1n1QKWaTYfTCR78o7EcOAZLsNvVyuVeEybkBgpitRrbrPAIwdsdw598n36kcUctO5P4s/MSS0iPcymXvrtph6SCh6QBiagN3nD5UJjT3Kxei6rEKMRZ6w+3/iwIlLUF8giR2ip/tgfRSrr95bLjq5q1bSINvOCxZnFuoO8N378dyYl2PQKq2SHobKjsA2Q0Bt1vGF03tD1AGpsvmdARXvQs7doxwM1Oe/768+mPbCrcDAhIO6bzpjmpkNaLOvfEim892sq3Uk95sKoVVquFxwZBp0UU0N7lRSed5wwqemnFxmrlYsNW8vnFCoimBQPTMDPfUDu9JS13SjpzEBdDRX41C9w4JC0F3p5ka5oCRtrghgSEDlicdrtneyZwopri7qy6B6Ecr4HJRWPR7ehBQr7RZEiEdbsAEoZsiskU9WQXyClOWgOP1Milj9no5kQK4tnSkjPzk2bbpU4axISA21svfDFfypExQG9P7UfJNR8LldYsOG05u8A0o+yV21SgQLdBwxN7dbrtStUbPTywOZBcsotE/oPwNfEXXG/WaNecJDsrtTw+PvJ5butCvu9u700HQ6SYNKmETVUVjFgwnCebM3qzqq19XJz9Wux9iXMn3BUni3FqyrQ4xae+flFZvTXKX7T8mligDXc9Bw9uJJS8J6eqlEzIrmjG1PtwH6vNICt6hcJFp7FayfqU8sq+zXkDJ4k7ijWMz0S+p0pr7FgEH1XNMyeMjyvb83Xlq6az+G/+1e/+9j999vanwX/5X/8fP/5hNpZzwU+/kLvLuuPdLx/bLgFtCbMkeyaMBwKBsm5/+rFzedVomoXppMpEwMJPwaT3T57GpNjo9Farjjcds42QBeFolapmmc/7SmExn9zeTB7uG90exjkKRnN+gHt4Fa4bykTOWB1UKqqh6aTGVGxesfLFGlvCokzv8hLF17t/F99UWGZTYR0jFhOzOu4kUxQZopIzHJUqdmYT2GricRpAueK0Oq1W72LA8cwyGCVddiTUl8zTGFJjqhVu7ImTdxQejqnRx1PuqYtL1aw0vcHC5/PPd2OeDPblnhtrmoI1aCuJuWXR2Lxg/yDepYl5dhOVBPovUoS88ag9dDfnoSm0F5zR1gQsxakFLnElgip/9dVX0XfkBpVzYbNbJfBxlFGp4p6LexAAV8ExvE5EgCqeWsGCyyAbIxBaGC94ZS8ykC1KneFurv4Na1bzqcyK5mLI2FSX3Fs373PfbQBt7rIKk0tUF6OvmHszZePAXm+I5xDpWyEYDFDSta2VLdro8AG2MCJNsNXMvPJ6STAFcppLtAqPEDFjn5CiWI12MSKoAacVwmxy8hZQd3eqXZm8Ia/meENXVxV0jZQOjOpR6pbXE9lyqMqMJQ1XltolnacweZjWFtXGq9r02o8NBNRe79dnI44sKS2KC5b2GGHrz2vTsV9fVRU3izwkx1LsK1Pp5knvyKxX/EW+Z0YCfGvZcoXciNImfP/YvN0TWhbiZHaEcmmPDan/vNv792/evHvzw+3w4c6p/TC8/zf/5t99/7tvpBNGsm0K7LtT3srecOGMGHmwdj5ymPicEyrLsuoh52PKuM/+AncyFjcX4x4XADaV6iYv/W5Gb9hX59O+hyJiJFw+f4kzMOvjuGNtMwaamGlkUypUsY4+fnwEc4rQMZ8WsyTofCNROxetLC2gAws5QdrgrelmQJVWiE0KzU5nOJpwAJ4UDS8f18O6bOplGhP7V5i++ZuQtHl57J0QQtWYnIeuP2FDJwuxBPx7+fLy+dWWzEQqoLFE8MDeSDnTxHQ2m4zHaGjkgljEiUNpmMhihEdgBLdwssp35FkbkUpBSSTK+DYl4kAiCw/+5G4XJUmRFk29xEoX+rYyijvJDmRr1xe/C6DgueY09liwYpUpCfzqvMPbRCpipXYflQkKhHvaGs5wAY2LG5uBx2hxSY8+cw+Uc5mvgA40fqlVf4FvEDs1Tn8M591HqttNPHtKtHsocKhjpo9x+fh6Gde3G2wDinY8B4nA2JKITQV6t91FJKvJvl0GZo8fHjg2C4agyBCWh3w0gb2kmBFEmCOK9LafIEmIiSyrbV8EoCKpmhIiYTXn+GOcq+Q0Q37v7x7Q1bihO7InCd8HbDYE7K7hcNKqzSfLWtKiHRiu53ielubrpexSDP3RJ0u3XCnVfaJBFOcLF1c40Ry9cokDXKXO7QsITgXJxhG13Cn5q/noj26jV109yKHLW1mlL2wpDfYt+baZat8cf8P4vazWJD6Nxh0tctAewzkf99tYHV/DeUpCOGPViumhWsONjsVNfIHxyZjc3FYnYxqRahCs5d/8y9ro/nHi9luykwgF4v/8H/57Z7V+Uy69+q8K0+9qK28PXTQ3BaUpw3ZBLBE/E5VJfglNtC4z3weWKlFH5itMWeRHqL3x442cq/Ocz2KhHLz3VCi5PvAFdfTC3uCi2x9MRsPH22sscJZekIHTy4UvTvCiUpb98fBmNORQhXYfL/gkj/4nJoAxc7PfEHf38ENIm0g6hVFz1RGero1BS0dFiHrx5Vc/fc0pOuymDFqCV8bh/RnGMcy3rjWAGDhnJ8XIDxPunMBWuLEv8M9pdNqtFmczt9qtKNujVZOulyYi/BJ8IbIgyBTMgiDDZLRU1j2feY6DJGflOeqdztc0ipqCINWCgQTSV96RJ+TgjG5Bsdpm78Mb0/LhUi8P9QO1qxCOTD2KNtoIVOgcbd9m3JBfpdG0cta0rlwClCqj0Sq2FCxYBqyMKjNegQoXEDQPcLhocn5jpcgWSznv4ylUZGBi6NsQyCN8jApcRtnjXiHATMd25t3cHQcusdQWUNN25kfyGgnPOe1z6tV0POn0upj8nTonckm7c8EfCTxgLk1RaVjMsV3NMX0zssw9H2Wo2Uldf0lEXLbFjYej0WjmOJiax5Mpgxx6FfNHvVJuNyT6IKRwPgentI2KuslF9EWlT6USlDh2B092tKLqeiOW1XZpOpw71VrJw8IMjMXqiu9Lr9lvzd/GNyTPJ36tVZ0PPU7JYEImojyHUTfaVe92GTObmaphgGXxhjIwOYfc2v4XtF65SsiGeZNAE3ICNJ1TdL7oEu4Ggw94B7E4mRGlA42qiE0IjUqCJoHapglAp/vixWjY9O5uW4Ulh7vdff1rf75Q7Yq3bBZ7dGr/8sWr8fW78W+Ssdf25tfyharNqpMIJaKJrq8CySTHh/JsscJ97/PPP3OHw/lsRDuRn9kTUym6iDTbwifEVPviWcusiWut5NErGYkPm8qkp8Ty2+72mJZ++ObX0Ap/eWNxETVr6bP7qoyaVa4Q9OFuOqk4jVa/jy+2zfbBbmCgrhsyq7H+QHh9rVowNlibLxN7knTgCE/mF7/8y3e//bsunnPhBWGYOCVwAzpWocBp0DkHsRBArr8gLLseTczQEbLI3C1nhbZRrZrp2whEEM2ldQCEAdC6sZMIE4xqdaiqJJPRrg6Ui5IcmVSBAHGN0scjhfhFEVyjYB11IXxaDiZsb9zZNCUf4zpQlyt4apyq/es0xMSdwSjeIlQgBlZK4EHEqT6gVVCQxy0FC9AgsRcijAYEl82p2Ch0m5h4k7OKxLI5E6kiDybZ0ACSTSC6ah5eZddy0tvkmTo/SNGFA41DQYlgH+2ksx7e3bNKyFcXE5fLAQ5mGqcOhIX/cDaXP2aIx8g0XfPB5t+9v2nUq22mV0wXh1/IIcfeFny3whnJ9fKafyuBQ9OFwFBRRa1Ybtw74vq+KB1zsXSHReQvWwI1noL76NYuOEB5RXytwfPuePjIWYkR+JJ5MVvUenXvwQw6fHQuy41unbOYCZElr3NfBgPo2cJkT2lYEMlBN4yTxzjItiAiZxLgm5heJVGwfq6QDVjSl40m39psZ5NvydCVIUKBUYUgikv0hOKz193x1fL265F7d3/59n2109LMY9dr1esXV88nr14Xrt9ZCMINigVyLU9wRAdW1CnRqIxhn3TVqFCqxKIa8o2N9EgQY3n39evH+7vx7TXSQWaKoomrCwh2TtJxAOpdPouqLGQ7rO1MgbP/CPERmUDbQDn0/MXNcIxv0qDFXGZ7hyC8XOEOLpsN8RDHGjF8OxvVai3jBS+M/OAXjYXOUXTRurk2i+yKSzDdho7wKDhM+hdf/PJBNhVu6MKkNHx86PX6uHFgx/I4Qfl8F8ICfKYYf7EYY7kS1aqLvYrAaXhhpjGNdL0UEcSPuFZR1QplhYTj5hSsubqSyJx1kJEmD1eAiXBoTqimBzH3abdC/j3vGAcsKR5+5zEnhP0oPvTxvaz1cj4O3MuD7d484M8FNBhFZlUVIFDh8+r0FTxTg4gcVWwpWNQB5TEU4S8XiZZCZe5xogCo4wrGsMp4hCqkLSND7BV0qQBFCcxmtM0ZA3XeRyNQEalCwmKtQ1tF3mfXrrOOzQMkVaaCFje2Mvs2/w1wau12s9sl0o2ZvGSvrJO51qBfJdTLp3O3dep3iUEV84/R3aLiLIJsFsOwakkAhbg9ydKIl7s53NAmMKOKigVpK9YYzCpDzancfTNuvi5zcFZMwZI4ZTiemTBT0L701q0XDse3xmGaHqR9O1JT5DYwYkVS4rdbbWjoiwlEvADPYsRazFFMMGJhiccQo0aseD9PKHrmpHWl0n79CzkoMXLBMbmMOqW3kZeFFb55ExaBvUah9vnf/Lc/fPsbzJ4SRpUwFpPZv35e/r9/+2sptaNRSbOpjcpqVMbZX9Qpc5PIOMZ89AxVpFhlIx7k3dufCuYMkNhyIeHUr3+cXbx8Zece0E6EGSXnA9zL90TkQjXkib7GVDWZLR9m065TGbSIUxd1uuJj3Ry5Y2I6sPiKBjm+v2NrMJpWzAobgf2EtyCMeZthnLkcPcv2OCVO+Uyzc3AnPgTVysXC/2L24+8bER3L92aTSUVPKqRZ7Ya1U5DGqMF8jHblSfCFxapSq7Z7nFffv7yQk8JTQKtUi5Cai30wLInyfclQoCmQScrR0yLDaYOh1xtO3Ar77MT/7GQ1S6Z8tB6D8+5UiArCKySfA575nk6mO40dJne4zCsPiKLJmzAgsQNagded4MtKH0//RcCgCxqRLmiBItW0TocchQDMzYykJhlV5aw0gAcXbc9vtOTHfA/XMoRVJcMSCCEw+lACKW67xxOyIuyTWVXQLEmiHEzF9q2qU0/QhtVm88Xr14hnfglR3wLf82GjRTCLxuR3huyQduilyyRaf9CfWHpaLSRCVfLFECGb8yMvYZcK/Lroz9hYXmrWOsX2bD7zRfPavlBavHdzMw8Vi6NyjUirleLUXYjTVxSmKZXdAlQqPLF9zQiArU/SVSneRmDvEx6wjCCYEM3hOawVslr4c8QdlRi0zOuyzxQyzQBOu1n6hA7pjOLSwmEiLlbONcvHLHFK/Nrif/j263/7r//dN//z//j1an316vW/LZTu3t7MS3NA0H9jGhV8xobKsJWtUcVYx4wnq4HhSqXTaLz47Iu7d2/9yQg04T+Y8T0vMbnFhrFsdLqO42ibblotBvTDPqquauuEm/AXhutkzsrsg7t8dJftWumiVY15FovyyQHSeuTOqjC7v5s+PBDfjgPamR0szA92A0uRWy7ERsxZoTnAiox2FLzgX75+/RNCc/1T9LiV6WSEuoxzUnUtUTqZ1I/GHLGkxZEylPsJvcioVuwNHFxesGqGcCZCJl0vfQsQTFbmZJtAtYK0o61WtkZEXNwSCOZSWBKIw/eqNdQsWdQ+zJpFfi4QBrKhN0VzMhXDT/RCNCyLRuwmmSNhJhtEAzhVWYZIuPgQQm7lRalyeXVlBOHUTSRWvaFeBg0urRjCscuIkESczBJwOjyJhpAQjhTkBhq0Smo6HNT+EpBnSdqf+9gcUeSNzGyZ32QEP1lfhGPRWo7FNFc5WkIFMFkMDYxAnQrhBROxtmFmS5p2BvCO1hCC2vu30W4bbSSzmm0oNAEJ8nka+9zezrbzJFRuLhXRsNrw7+a9vVsPC51VI+O85zXdltOjF7G5XgCgAM7Gc1ZVZhO3ddG5vn7XLBoHZwvd3JQ5jadQrS9XDoERyiwa4hmPuShBoYtSsA3DPElP1O4ojypjGaQlQEhKQuPzi6XqwpepQRZNA0+s0yEn1ZaeVpQ9NMyUuFIF3QcboWpUnrfAyZdw1b5XIiIlNsewtcW4JQ1fXM79f/+//S8vSuW/7l2UBpf/+2/+v5k7RdUBAtCgZUejitK3h/EgjVCu6sVqueotPacYzJog/OzVaw5jGd++1+VCIpPjkaxEojDKUBCaItIp/0BvYINYcs14rlWqBcswaMMB+DLyV2OfCHPlfrPadLamOFk11SN32OiBr9vocTYa1nE648id+jFL+acTz4gtbuCezILG2SCgRQml7bl59fnn37uzxeSBUcXWOB49lMuXGMEYb4SucFnKZth7g3SFqtVygtxW69VOp9luY7VCt04rjlTopRkAgl6FdsWNpmAx4fFM0/kSpV/BcuKFfAW4jz7DUaPJap6qDtSbOPPq/AiqFNc8QcdUcJm/KGOL+FETmQUiL61BkZrTA7gH/RdC2E3JuMGxT6gocDICaf+tpRHS0vhAOhd8QAsC4ukagkUrOCqHcYQJL7ENbNbTbyAVBp0OJw2CshJa6IbkgaFcZ2SWrZeWiVyybgAAIABJREFUoD3s49PdbC3cheOG9gdbqUwtx1k2BASq1bb/kYWb44YBy2k2YXKOvJssskjDt6m/cIxtmNKUF7c+nG35gFhhYiGzzKpQHICWP9nWm23bz6a2AhqFtUlEkiO3i0KpVVxOicYZqkQrVaDFJua7eFkUZ6Ppi0+fv/lJowdEyoa3HGDTLMuAC86r60J73di1dfF2i1NmXAtbFXHltTCD9j2UpSEWKX+LhXq/TwxWYrtjdS+XxIhV5sTgla08peBZk/HXGF9fty4vmb9nE0KLufxD0UajIgD3RqOCfpkjVcwFQ8SF+UFtVPdL5tA75833yi1Z72Py4GOXPIfKIeod0xEhZRG+anVRXxe6S9pv2fceb72+01PqaaVuv19qF+/+8KbK60gTwkXyaLUHVn5WzkaABX6OYQpsQ5a4dkcrxpbxfDV+9FoTf9CsNNkUYgRSiwrLI5sN5xM9cqcRHLkTyRlW9eR/GXIj64ZyYoRWqbgg0J/+xV9+9//+LfHr7IcbhMumwgvdVIjDO9zIiyfV4WfF9DHzFxO6CsuqnTaxIQYXut0yue/AQ720GoDsWq0wY51JtZJKYnjADVWz/Omjx6FKomaxQ1c+bKiUe6twUJbHo+dH6l0c5eFOh7VdVb6xYwQo4+QgjUBmaw1ZH0Q/4UIBYk0WAHCVxg3zxv8CFDK1IfLTCEBtF7U6wRnKxkEf+BwYfsHmSVWfA7Hanz3KQc0tg4hRQmmGPy1a0qg1NPKJbMxLogcxu0veZMFKEdM04Jt0CqYK6iZX4h3TEv0WMUx8m5hIG1EbCyzIP8pZrSWH1xKqnX1D0DsaTb2ZOx89iItItkKVCP2oRKKx45lkVlFCBQs4IU/KxGqfV5uVOgibqTiSJ6U6Fg3jw57m1B4fjihSQ1JbkkbGpDcp9e1LpoXp4KturzB8wNWdf3wgyDgrYbH2FT7fexi3ev9+eH1DnXygINk6+kCsaFOGLfoL7YxusVU/EGFcRpdaPP9Xkzf/kXs7TO/DMegbDMgsGgoHUK0KRTbN9QZ9PouJIIr4fT/6/XA2JF4+Ml2+LI6vp+3IfrrmoL4uvvSuZ/7DHdhyfrnTbOmHnMrKh5LWLFrhm7RqKGBkNQoW86gV54Tig3a906iPprLfvuGwkrwZSkTN0pMNi2w2LC899+HtGw5JbfX6zfQwBAl1nC8JGhneuVRpsOuG1EAjfvLX/+SP//lvW7GTCs2mQpzr6gXWnPevFKpRFSc+N1Ct6jWOAet2icbOBog0UkSCzaUZEE5RrWJWKw9/yKyltzTgaelww34VRvPQhvUqY8jcnz54JYnCAWqM1fzSs+AeBaP5D71nGC+tAJI88kckKAo4qNFqTqAQXdKNZmVcCjb4EjSlKVGs9UIB4qLp2esKCXA4qgORrk3Aq6MVRyqiCn7pSnRwQOljgMGBf2SIA6cT2Z2nUtCF5jw5d/OAoQ4c3OhbEIazXDHMWRE/1IS4W93elCfimJIJpYoA4sKgRidh8UMGSEjN6BUya+1F/MwZquyxN+48ueDKFESPnzMF4Bbf/+uv8AWKFXQc4jat3HKNQ+FsW8fypD0a5sCCIwYOHDZLbNmPxspSKATHehZaMoY/DXuVljl12jjAp+ERTY/QIABNC2Y1Ylj2CBrCosl/6S71fm82GtXW7M5HuZHhg+2EHzgmFs1DnfRm2ThEX9b/DGN2NSqYAK/EOiU+2BEb1dv/S1SGHJfVqJhUpVY2YtSqTl0O8aPF56sih650ul1wkSrYTYrmVRcXpHq7en1z31w52hlB1X9cNS+rjUK70e7KVF1H4d5SZY6RuxwkHJoFpKJFMMKYITLsHNF34T3CgEBfdltMaWwdQKVqNqpR33ZphbVuNmTJqUIfHt28Gz+YI3fabTXjhcA+3F8Exqwbsh1M3LO0pdCVX/7FX737+u9a0ZMKF/PR4323dwEhrG2wUp6GZaBaLZZTvKMW62LNqXUJx95hQRDtJK0U4qGXZthVrZihUQVYFkyDcHQ6cltVH/EkEGDl1Ph0XPjToVsg+mxTej2OaWYLPGWTCuVKg5Mcf5krq2TaGs/s+iDpaZ4b5NEylXoThGMV0fSTyQRaWKXlLSYVaAEjfo/WMWJV8Ag0LnioahaQqWI3W3aKKFiwG5U2O9/pb2FEzlogSQcvbrRe5R3U7qWQImQ7HdsPACGNzCiXcKTlpPm8yJBxa3TNW+7ofHgB0yIZjcKsqCjRdDJkG1JardSQV8x8nuvj1zW9u3Fq8X61H0/Iz80tC03myWE5Ok4RYKEiYbG2uLl48Gpic8laVFWJ1XaQzrjDmi2IFoPdm3MbsXzXl6O4+/313S2md1ZKiJxDL/swRizDFn7yalR7Vv3SXWtVo1ICsVER65/Jl/AEyBWu0JAb5XS9VJgOH+huF4M+XzAE2EDBYvR4++MP2Coal7X546JeCqbVepGTi6Z+cYZGFgXCvTbyTlPHcn2gR7O6GtQFSkw48IRxE2YkY2AOu2SPLXo3DLroYhgosCFtuvAbdeFZpBTMmfOPOZpvez7zJ3e3cuROp4t1h0kkkvPD3TKwhOuGsgrGLNMd9N3Pvhx//zuMcRYPPKAmk5FsKjTtFZnjgyyY+riYRFGtpgTlENUKXbrDQTcHqFY7vlZPp1oFeGMJjpBpEm1DBwMQz9WSrKV7E87vqbM3lo4Ao9AboPe46ZKBY57rhJz4cCw9NDSbs9cm9j0QEIUNKbQzJu4fZCQBf37pvLQ+hKhh5ThabKWJN3QinZGPWzf8eXpFlBLYJAN9OPZBj15nVEWj1f1c95CplPKrOEAmApGfzLDc+SmwPfIg0IzazNlQkVEKArmkQSX0gdSza7WKFWc6lG2GxGEuyAaowy8KZaGUCLDKdtqIOsdDv76xS8eK0G64jDGvooHZRpEqhc6g6nQM8tIEKKBbgBYHYweMVGxfZN4sXUJFN+vdznQ4rOEuvsDnST7OmEDj56lkwsn50vCFnz0aFdAQDgSEYV5sVEZSAtbl4xOZKYUfFSojreKUq0QtRJ1qYdQQK8xmik3EnBWKhTt5/37htB18sTjBr1IrEPnWdWcg1Jz30M20IKC8x0Ljorq8k0hou9DSW3w37xOmxNwNcaTiIyec0RLqjU5yotfiElcq9dp4ExaHk9nU9VCzYmYGcvHPbjZ0Hx+mw8e6OH73MnSRhLrPl0Q3wT7EP5qG1r969ZKdCP7tm1pEQWRTIRE4amwqNGJmp3BGYBMudDll6+oSDcRxWk671+0NBshQGo4i3ObSDCCAjYqL4U5TjGrlRb+W00Cdks4IYYpHe0uyJPIp5VQRcTRNj8MrVM1CaYBjh6pZMjQZF71kzANcktHAEBqOkYXoN20UFCV1GZGbRrujr2A2ksnFI0wGZzs26hyKjsVyvzhqHRKkKVpv9j0NSgbYhVQoAtn59S0crnyANTX4opLHTSCYZmqCR3qdSxABnofsp86jNCqxWhdkxsQiHw4HBjJAJA9kAOJ+YIkAccwD7CpiegsbVGd9aQFtBejlYsElmGbzNY3sEnJ9nEln9zf1asJMlsW3QCnJynLCOyXLABBfZ1kotINFXrCmUARQVrnEIapyVfbGi8rssEZjHh3f3Q9ePq9cXKzeS2TOufHEYrw4R9xRQ5D8hP8ZbVOmLv4zv0iCMos/RiUSpYqbzXCbxYnNO3hiihuNCmMi6x1V5LBKZCyGMkIAXRZKt1ixNyWy7kAZ7QGrzMNwsm6xARQ7TMkVa35xMiSALXrGRs+uEW+oth4uZ63yJnED/WBR2BQ91110wAGm4bmEUc1QsGxvtThQighUKGqdptNvN0dTdzT10URhsM0jwGlAs9mwXILrZfGCn4xqzSahszBsR3N+yHuEbTaTnSiXr179NOXIqxGSbxEYjR56sqkQtQkhNNFC+cFq5c1nKw68chxWgPvdXr+fX7VCgJlAiRoK37SiD6NaURcdCjOOGfEThwpL9+YGZjRQszjWa8yeTAc1C16pmgXaOYczKC2vfPOFuYFs72RoTL+sXktdmJUTM5JHO1MFDAlKHGwl2QqssFuQVuCi4fCCRwy4z0nOLqiMFCBz0dGoCPjcZ9cinsXZOTIqy34FZC7t8/AIVHikLtPts9ogG2zGWwRF1cyMPE/xyhAaUKrwIZNrL/f3I7OllNCXcvCNLJshZX8NBmY+yAEwmUS5cFHH9YGeAKW71TCo427VbDp8Vmrgq908iSkws44nFuNWGeNBqrdEYlkSE1BJy7o/HVzIJP+r3WhDqWpy+yHEcxjOxRNTn3eMWCJUxUXjqur+XiNvpRbdfYHP6/D2vn91OYG/LBlqyAazQrQ6/DQRYU3wf0ATyhICn65Rmb1+R2pU4pyORsi6AWsDLPthpWjWGeLE80YbSellirstrC7XpZvUA4Gi2QPRhRQ+AHmoFBnRa8NHDuyde6P5eluPYhDzxjNODo/xVqXirIIXqyHXYyCcEQmTkdb8y1Cw4GCkxKYiShKQAmaxu7DTciYzCWTJqn1sUmQ4Xyw9s2UCSOXFdPowmZQ5cqfXk9ibW8PXBvhT38EKwpQNXn/y/ttv2muMbUGFpOumQvo0vogz18dq5XHWYb3ZQLnqE/s9K+IX5Oil4ALVCmNnuN8N+ceIxSarpyZQ4dO4xkJ3sOhhBmoQNWvlyin11YYeR83sCXV51CzYufTiJ4blJNkuztJvtxegNwBsLGI1Xx1kfCEzF11VveDx0gv6xQb8Ge7oWVywi4r4pd15TIR7No1EJS863kEYl1UyIDsRgzMmMuKit54RYCIopVTFUTPEKE0sdUQiYA/VlY6oRYrQY7I6aaBRSU7NZjSqelPcD/FbCPQrebWBQjq+wCSRJ7+CpbxtNBy+uzuDwej6bSwWouCQfYENw3qAU3bWnbdmPqA8JhHiCMj31TZROwUOToBAprzseYeBm9FHQYsMRMih+HK8bAyKywofkXvWvxKQ893JaFK9GCzfvKFtgrijtFCOkA1UjaCYC8CCnvZuo1GJ9wpDjJHYzaqf+H0crlEBGYWAFUP+SXh8HHLZdFheNV+We/M2qpXBJIE4TWKcuyuurtal61DH2uQ3anKiaHASjqDvL+dLnwANF6VnL1/J6kmsGjyfl4VNcMWwlUyuRLix8k/wCNtlSmHn9GJu4okHkkNVKLymlSLdcgcBMS9vSsRf06AAZtatVyvNQXc8nbmeDONYszZclTqoCkdjvqeZNDlyxx2+m42rNYkF3+lEc8YreMpnhuiLz768++6bDiITVsTi0v3dDbPicOYPCQbsNDini82kz1+9AHszmm0GsbBQIPeWENhigrG7hsOSy6hWsiCoXcAWfNIb2M6Ee3QVKGdGzZrNxm656qzrDgTmUbMYnbyjFCxxAwi7ydZRAts06EZPmqHmSESG7Ze5nmgO9YLXw4vQeknJVfKQTLS1GnQYKNA9QHW3FjlU6BCYQV5agivWulrBLkBy7iYeUeneIlR0XHtkQ4ZMLoBrNmjhHlZ+AKKkUtrH1BzWn42seRsWyZF1N0tEneKlSIfMS7ELqeFMBr782elvtBmYIZlgCxfjFJputysWADjHP2avGAR9hMDopYlAQjnDW2viLg9WsBKrSUmkat6AGX8EfbYNt9oXL656vcHXX/9uxDHDxGW337/bQIwYEBEzma7tvLEnrTCWGDwyBE0bM2fi2Ph7glskb3Fa8qfz+lVt9VZMwpE3qbfFcqHkrPFLhtD5/L5WfrlqtsozCUldlbijMkyLoEWrIasA18aRgvwPsWHzxjUqUaQYX4xGRbZtSKmI2RcbjYpa2OSEHclxOg2nxma9cmn4OJovXaezqoy25nVbPHbDRH9bWD8rlLFmMTznQWdFS67k0Fm+SCe+h37PTtYYWHlcFjneFg+UkPO5+J8A57QkKGJkR6niP04chkS6i1Mp0VmiEkE/BD+mtNBjOKHW4JyShDebJKpDe/PkLEtG2CKHxDRNyDojHFvZ1nLguZxsyBIKAS/HN9dj4wXf7nZ3tdVNySe7cxpO9/Vn4x/+QOR6rYTvAFTREadOiqdVHYvly9e/aHfb2pD47fGlIMIdGqW0A4TNLbIkoRdcJCSYsMnK4wdWrZQWumy0uY/joqhZJT6EprPRrFxrFkz0VNQFoCVas+jm8jmWckJONj7WNAUbY6ZQi7wZSWT8YL8q3d+mH3EDqkQope1Y+2WIY0pSfegIUNlFzKgo64aop+TkEQK1SPIiaAwcKKqGoXKmhcE+J7rUivzFYH60j9Aoo2woKUpslGVRJjw5FaBx6GSlOFEq3+BvyAmVKqkrQZ3aJRO8rn/8yfPZVSRHa4l/KaPSQudZo3JhhvnsNWegolrh56BM42tYBYlSrK7jPWOZSQoXfNYb35szjhE2OTcdERyFCoiXP9uXkBm8MC9tN9Cs5Vr92S9eDgYXuH52Oi2MJaP7u6psm0pj5W4V2xUe9VSuF5cjop4GEzxIwiWLqpzMcze//KJ3/ebO7GrcqQMaydRYs6Ged5RGB166xWVwKmt5OLntXgwWswmd38NGVJR4zwTtNnFHqUouBUqlsr9MNGaaN4iZbmAyZ6NsBRqV/SrdQSU1AY0KCMZMZTQq4gs1cIBhtaKObm0R0Lr4ZdtB0d8Y9mJwbX4d1gRtWStcPovYsWJFYo9lv1hel/GRR4EoF+d31+/nvQFfCBayzQ8bovshSNemSfuEsAVPv6EhVKmiQ9Es8Ak/fhbqUWcUT5y4owjTblQqlrl0OcV/KidiQKHz0sNR44gW5tRqolbIsXSqi1swqNp6sqGIFV+i7sP99FGO3OlkLsDZ8ue9afd6c++le/PGMcoTA9bQWxWQtU7n8vmz/qAfaH4yLgibTGwcPIZVvAnFu+kLYrWK+FrRHD+XagWeIJs2Kh3BQDzVsGZxxOJkOKvWmwohUc1CDNaLjGWidFELXdcVeNr6oF1DJL5oVJiPIEqLgC8LhdzjzoWm9XRe8DpzgbPqD6odJShY5KAjcVn8uNHJT1M+2t8j2sOywxJFe9Bz+LUpsRuKZLyNZT7lkVqkFSImUlG3UvHKVdUWi1SV0p56ONxyYXX/7h0fGmhXdHWUEIlzzUcViwRVp9pw2NaF3iUkEEbIn3PwhhgI6FgSEW11d/fIWEbIBrAwhuMNYShqPlG/H0dFOUktNfxMOsGqkRj7i8SpR8Uw2hY17Gs5HCTRq4DMCcMg37t89nh7Uy8kB7ABmBGGdESS3mzo3H7rrTg7iBUb2EOYiK1cYUVBIkYs5rhio1QIBzpsVOUmnCeDaOQScmBmmLddhT5VMJKNp9V2tzAe6jJclVO3+89Gj0OWmhB+FCdRqMyNMoxfsU6pUkVzpdgjk2oL0pAvfGiNRrUuVGulaoUAs3i+1BuO1bMzihOQrMmJ1eGUshFjkWGw22KXwqHf4IkVXSvMgN8qMpw3Cnwwr2Xfe21dHD3cMRYPBjjlbExZ4tftryTbh7oYeFGnjK1KzsKTXlYpN2sS0kusjtsXA3c0gVaEMehXkSEk+l7uKUEeYR/6OGyV3lrCgIyiwTsmC3NT5gie5WxantxK0zNjuS59mW0FDnFVfNDj+1nsW1HoqmaZ6YZAAiV/NLweDQl5ydL/B95sOHj+/B37Qkd34PfgLaud/uDqWbffY/1IRqfwUqFSWSKdoUq+Gc2xThg/mKRpC83LDWcIolwmCl4I72n/0qrRPZJnqQyVvVLGODqe+FMWeBWmqlkQq4/IxOKo9UHk0Hq4s39wV3oVPmZ1bvgfjVxTzvVLI3Ihe2w2ZHzDDnkuyFE4iAQDJ0YlKkKi5ItHl12jsiJja2gCjRY+4h74UchHQMhZBCpUZ8zIDzL0HC6bR9lxKIaH5rfVHX5z/Dk2CCn02jlJJqI0BUNE+pjL2N1XuBoz/hLbmmWdGj4NxggRBccUFZ2leKWqFYPUw8OQMDoMWJz9zOegy8iN6yn7bFereqXc4qvqgCsgVoZ5UUWVWqEtJ32of4y5psJip9N+fBw93D+gdlz1g7HmAFwOz1rsr2d3fqvsQAYLbhkASqvS6H7sdOuluWpYRQ5SXE4l1H9GKfsK3izdyarTnXNAIb7MxB31vcf7u/FkzPYxlW3pF2a9b4l7jSz/5WShrUSmbRQyPNNlVCUKldNo9zqNVpMAQwzZHhG1w1WYTZmUO6VKhFkvo1Kl5N1KVh3r+br8vpixSrZVBF26WCviZ1WvEsGBo30WFxyNEp7B561nxUXcCUy1uzOOCYBiKBO3Kr5LZJmPGHJFugPrWXydgG7ioApXUAo2XBIfLFk9JOJJu9Xks5qjqKQf4svM5CbKEwYmMZNKBdJZlnQ6WctnfZRdD7TOwme1QxziZBMEDbkoYODDsbps1o9QPpYSOktU5VqDrSwqPDE1CzlCVzfjbhX0sJveTsdGGAas30Wx3W6GMz9dffrJ3dsq/Hz2CwIwEFpW2IjOBAJII3OhpBj5IoUL/RW0oc5bLVihjqpWDFNcZ8bvcHD0SV30l6FORfBwIIklVM2ai5o1IzYpeWCIVbOoje0BiQU3c03Sa6td8TLNfIUShnHD1Fiq159kL6pasBjq+ZaGb2f0ggemyhXSovqoCBJJVHneFoqyl1r36j3R/Effo2DJxLx9WZo1GTIt8dsZD3iCa0/Hrige1MLAFE3Zew9u0Twiqrn6HhkpKNkPvTiia3B1hY+fylb+4mxlw0SEHv/9d39kwOKGc6kQR9Q1ZmFG/thInQRZR8TwDegbYgOqZeAJX+X7S6+4ublmtGXIZRK6v71DwcqOFKFtdBZ5gBijV9GGpWVhvh6sV7cmOqsiX1lXGetE3xaqZpNRqVabiwHxMAlRYDJzENW92a5MhsykLPXOpy6xZzwaRBZqN76o+TgnuUALVQwblXyD0htZA241B61W0yy2gicBOEzvSzYH7q3oOCajY10Xl1frMr95xIHzP8pNHLJERWcaYBXo+v37/sUFOsp8OZ964271+Q6qCjgP+J2ikQQUFiRQtCp/joqDUkVfaDTE7Bvv19urxgEMdsNtCwMKFoTgkcYLBuEVnkNoDehPZh0eftLSn0moL+ADI1ZJBDN5iR4GL8uoWyZz8FakhfO5pdtW2s0G4F3cBrACbluzTFWeCW2LlVa84B/f/TSq1tlsSPyszIq30Tj2CUfQZ69e7ZaGCTrjIrCo0fySB+0KnQs03797J3wzhit+Ua2edK7cRS8zhYZFPTbdgiYR6TtVAqPVYWSqlldspp1wsIYjugjNhCgu2XYZWvKi+bk3w3EsbfNo1/4ARSiezYvInd0xxfogy3l0hsjLc94y3agXPJsNgRs1Tx5UjfJEBRiYuwhXSDVNdBDYAzJ/gM6j2NDJqYseYmuErtPVqV1Sga9dbvfV+VO054SSy9+tPqTjYqTWhKYMy0ZybW4zX26ypd1huPrkyy/4MBYXLPZXHXgRxAHxY+tTbb2o1YKv80wYYqNSJsiv6o5bHNmU1myb5xx3QMKyQkaGUaxrGNOogtkpR9EzZJGKJGo/G9pkrHIGZbytZSejaaQVe7nGOKNSkTwv6svSwFtyTuL2nJofD1aY/AVLTmUOz0Er4hxcn+UvHIxyX6CpGhXDohwni4tDt9nrtDiljgBp6HC5IT1tRki6FR1rs68woz4OphJHLBOvn2zyTbpePdzc+H6v4BCJstB5tlm5iKoaKowZkBNf6QBljFXBCiBaHSuA6Ph2HEssKJK5/aUHAjoG2vzGJ3LNatbjw2RLLQpz8KXIoUE5vmS0gLGmm3pDAMFfqED1EIOoqFkOWhdu33RtNMNoTqNmsdkQp0Zxz+IEl9HN+9H9fRNnNzmw6OcUGMYvLnDAU4exCLThMCQYJhPPgIHhCc0QUS7lvN9ilgrfU6hZRC4psLwwnLqVWoO4G0RwTzFfCd4MCamXtWChe6e1NeuxWp64tSgrajajXYKhPhX2kS+QW9Qsmlg3G/KdT115YFnDDYhlF0nwwcpTwceQRz/s7DDEo3aJD4DbE7X3LuZQR3zqQHB5QIeMzICKRpZQ70JMSwkrSXufmM6aICjxiohEmD4OZQubjZxGnVLjxbxc3NXPttUpqmEcMQudcpuIUCTRZDiMKooQ49ysnRdGwzHRIpg1jNEoAnfnlmmDhslPu/Ar6RIzQrPoPGvP5neV1tq/n9f7NfeHJe4KZJ94Lluc6qhDOpjiZSXeISf138qadUViny/EJKtgkxCzafBHHSnwFMaFntCT9Q72Kdxq2tgjY7O7LRW9sb01mvgB7pEtoo/i854eHyvAosgyawkq6XaB6xU416scqnO/Ki+a5ZgeII0Zsm6vSAZVkJ9BOVwB5KRR2QNIJE8WT7HbpnAD4HHBkXojc6oMDhEdhbfGgoUxkqLxsloLdqaUN8lYADOjAIYrD/PbAsNbpelIv8aaBaU7ahaKC+qXUbNEmV3MHu6mDw9Op0v8dLUhJVf/9KnMuBgzmGgRZryw0KpIGY3G+Zeznx5HqQGs2JUSv0wXpoHg/LLMNghsyUunVIsF94+XyvHM5lQ+pvzZsFRrrd1jImDJN1g4wmCXTRRH3mNfBR3EGv9MbtQgpEYTBAm6ciB7cBbAstmQYtjMuNSiuQsFxqrKwSs0711j1W4RUk4aoBMhRhNhTbZ+F82cfR9Tp2AKQsZlmc68yGM2kLO8zRhizgJfgUj/Fo/w8mJJhEhRq2XQz+19ssEkYWTevDzxDjmjBejR8ITpn8H1UIB8LqLTcJyZ+3jHt7SdROiB0pvC1j2mY8GvUmFeXRVcbPt+i02LpY23ciKehEYdD4foCsw6s+kMZDiU2jd9LzH/kYlmBGQ6LNc5TRaXYkPcWsMrrVoX9ftv2e1eXN4V64PyrLooL4QNfp2kIuqVmVNlkWfhLmt8Xp5w0WrYZ8b+urs7WBuwYEb7MrCx6rciL1527SaLfkajIsLywfMdJ1UjAAAgAElEQVTzCcieWhQdi/hYe3UsZHkxZLtinCPMChNCvLv+rOmiee9is3fwp7MwdjMuo1oxUiHsCHyngc/6gWyM1q21ipolkhFbmEPBYkTMcJ8TW0I+DSuQu30h3EBNZBUaFwu8vRr12rpeQ03h0SwwRFFHtMLNhrL5seCNHmajxzrnBfb6DOZbWT/sAyTQWFiwmbyQ/49NuxImo2Btr7LhPVdqllZjmSFo02VjVayvivhgPKKJxYX5OHZiTWdXqJu2hTBRaQpr0qNvBHNC4UR2jYTv5a9RwuSG84zUdiUPJloEv0+tZlGFur0je1EveGZh5mLeqlRIPzvkeloFixH8UIQUefl+MFSpNgMQLoSe30Tq4AJvE1/9SSSaqU7GWS5FWOmlWRmPCVb0cVKx9NzRwyOnq/KRagRRVN5DUdWFwnKjvXLHdrUijWDT/vLSMiqxugWOmM585RGhoMRilVee1zm4Pba9fqckDbCYjO7eF4ihKqqjaO+rPIG4yLbfiMWxLs66yPkKcEiM5ERDLqzGHOoVtPiqtq46lflkXmtW8Ycq+sXlY6F11fJ/cgm8VCCKwEL6uaiefEKVVv50if1wh4jDEpjj+XbTnTtaMlj1Y16BJFxR2o1mq9nstLE16hh3WAWR3GltGsmSentKWQs0VccCejg9IFeVidkOa4uZG2SjPecwnfXt9XV3MOi0N3vIU8YkKYYMyR5Ao1cxW1MJkUmauPdUYHxY5XZFGU+IIwvx+KnHhd8YlmiuqKVKxNeIsLEcJNd1yDKutACykbMIqBI6i9AefCJKUDPULNSuxW5Mh0DNYpMMm4/5qJxPxncTvOCb7X4fc0IGN57oleWt6lX4mD1RRaeB5Zt2q+8z/TWuKjNncfn84s0374uV5ezRd1z097NM8bKYgJQVVqlmpGyPV+uAhUZQSTC+CTOsEkbj7zJHLTU6BEEsor2b5ywp2ltRszomRi5riDmNVYm1n4X7iZAPSDxUndoFjcILX3bTP9oUJdl2ZpnJzcWNxZm3om5tEjbTgM2T6yYyf0TzJw+60Rz77sHv8fq61W3j5Mo9C4Xqw7SvXPDejMI+ZpFmi/3S5eHcL+ECE7kMN1BG2AAlsXLNsXM1qOEQWn86qSasKgaFxT7UwlsAL49lg2ObIRU9Zo8BS8qqjjUZDonthQOJKBX1nH0k2k4GDXa7Y6Nisjb6MXoVCt9qXMJ0T1YqCnC1f4grXWcj/Kx90XEnLhYt73F+8avu9IcJ+murV1+9kyqEJ4xSTEw+u+l3gFhouW/wgbt/HBLEnJhYy1K51mqy14+VPzZ5MZxNZhNqadZbueHly7hLfma5M9Bp4O/qWOgf1Rcl792iEq4JpiGi3ZH4o8P7W1SmQb+HVGqH1V8tyD2TgawAFrx1db54/P/Je/Nux3Ej0VMitVDbXXPPclXZ7na7572ef+b7f4U+c97Mcbfdbtvlyu3u2iXu8wuApChuopabWX7DyroisQQCQAAIBAIRKHKJfBdviSLzK4NeGc56gkIVu1X4G3xRQz3MeGp2iLJRKGMkHRIxV8icSKJoJl8CK13NfoBbAzgwky1QHlo+BKzkjFBOCXEA2OLe1mK1xoG0soe6NV7kOBOv40hJMZJhmP56Of68RKtvcHYBNabrlS/lmUL0jv2XuW/Htkam1m2jPf3vdeed8fT08Pb3L/7+l4+9vtXxkJAfof+eEAf0w6xjtH27QgErg9HmkyEG/ahvrjEle5lNAt6I1kpavKDstRWX+oCW+FKrQfvkbFayKEO3sBP6pBj1LD4RbkH8KUTqvtZcPOqCS6ejFXRzpAN5pxoMGP3wCfY8NBZ/MynrfwLzsPrXL+KYlFRWd14CBGx3VpkGYa6BsBX5JVmf50Ua/5CCkMA83T28ePOK7qZj2V7X0XanPWiTtb368Phf3139izr59oxOFxekFtob4o4Qo484sYCp4qiBlWPDkMi4YtVoGovHOxylFTaHmIs0UVcLMHrA2O72TTzM1DwQBzGrxb+tQwqtyAJQFgAYPne1bKW14RQZSx8jlm+j+i9IIZoKtmVUGlXgM9/kVzZOANtdc3Y7v76+ZD5jVmq6jeUKfx4+NwgRIM3N2HALPEHYtkXGdNh6vdVmwOidjZrWq1ejgbR2So9nZa+eVp8tFJdPzmBtofBVPzI8Fm3IWOy8Nr0vWUtOhWjRXBw2O8vZnetev7hCI1rmr5ip0ttfxjasVOfCMPqNoWexQRAW59AHSsBoD4MBAgMGJywUJ2wWbpZTd3qoiLoBEhUDDkKDYYiBzV/9+N14vvxy95iZJNN9vRM71VABBLIzZSYBNUeUJS6VqIjr9pF4X1/iJsFeTDNiDxZiLqmJNBgH0iYOhe3p3ZfZU0dfNmR4ZSA/66duKy3HetaC9gVOnxbKgFDQdD567vkKpvb9j29u//4gkDXhQRpCgHWIUMgoyrdNtKhruvMnidvzEWVRlQW65ai9MDezNNM6UbDi3JYpTJMEsgTwnITNorbA0XWmxzMcCyFaC54VCvKrrwWfoPqMDBYI0Qqgzgt/eShVpiIlreFvgsTxLxr48XBOAgFk0lUGJpVVJMGUd9Rz+HJKYx+eeQfOKKjal8jzu9SaGV/4n6LOFQqATxJOSS0Eyowq+9XHx8fz0TlbexgL8/ULqONPf/7jry7PRljCLHoAQjA3qddeo2ynQwEo04BHd9AKJ2Fv0F4Lg7XHI9QJrmIdtQ2rhzFMduEEMuSoXduyVrOZEaxbFmaTYmaJhdpu+PMt27CFRRaSPjgbAdZBA9teeGvZLRGyWqw46aHhOqFl9rzEsmjba4+2r2gVFlQzEG7A48rkCEnk9vRn+FjKagVbvGZNmNXJno0Yq4uNYtM8FkHuXdj7oeGeBeGMqbYYAl2QREDdGO/wvdX97d1gOGTa5fRrNp3SdnDgvY6JaSjmvLCFIjd9J+Of7IWDIoFZ8UJGzmbgPOTynRiuAlgzYbNYH5Ack13Yrw2OLFStdm/U8hdXb66vX754+8784bt3P334dHP3iDxMF8dN0opy01GCA+bT8CZUO0s6u353RSjg9q46vV6/977P1+Txfj2biKuB1ENZ2rOhvmzIbY75w/1XdrmjhzlIMW+nUPtFvLI9g8wKUUFe3ukb0w9LMUvx5mr8X/iWUgyxmpAVEZIvP/0QI/BUqmI6ZdYDEFRYXG4lHWnVdZnPMI5awqAn9wc7vbpmO/SSqtks+muvnmKi41ENEp0dFdZLB9Ii2mTaAbbgT8xggbHGmxfOF8BMP3tVvqKqv8woXWX+Jv1Bf/NQ9yMRTs3qR0LKZi8YEQTti6/Cjyn36eb29a++kwbA0nQbg2TRSR9kEDFV0QhWWilyA4NDFDlFQTw1fZji5+wMJqsvGxdGI2wGfEYW4/gbSLJ6MeEbJm3Mexyz+SVNExMEGDsYtL1xiEuZELPMTRTaPFyxgNMmackbbmtf//g9o5d43Y3k4YKRHP5DzQFndueO13ZXM2O92YcL83dop4MVdjmbLTF/37E7ZkduJq7mjhEIDv7Kt0ZWsEaLRZBnLe224huFJVXYK5ibPbOHh8vXr/UpFkVDvpza2Evv6ryMj92rhO3ENbpgO8OJv9I8FovQ8u/e+e96k7+suVQQl7RFJvmxjMYQLbTidqHIG4PzgdgZSVcLCk7ojOzSv4fRhuSS//0A7XgPO1JwHiAJQJYruslZ28Jm9RgJSYGiFPzmVz/ocnWNcE7wr7/77fewWT9//Hx7D4CS61xxA2z9CmQZbukabiXY/UEdYNES+QSSipdv37vXrx7vvqwmTxnVHDBXlw3RjhexcTPw15On1XTcHbLzOsNQ1e7yjkiheVBwoMpHgHmWrNAABteLQfcCbxlets8nn2dWr3f2/WjxdzFDoBNTHV42dKjDJUzHFIOM8qIE6m/pb2ynLm0lylTKVYIDoqLC6ZqoxECMVX4+uF1i9JWwWWhN6ffCZARScdZovUwzi2eEVWW5knDaKNGC57Cb7GwXktiyl6MYLI0xf3l0AYoiZQFiZaJ4qlFW8AnDaTJKPCHAalBUVgsVda2pclLr6owHxaJtI+ZndPvGzXwQpBNkSk/gihtTIxbA7nK5mM1GykQyuyvkWLK6xAMYlkSs4ohVUeFPaC4OGoZo+XS7nyaLpTljbDw9TBh7eACkDJSWyFKGL2D1wx5d1psiBkvyehg0wp5QZ22sLTz79Q0HeczADGZsxSJyLSuCcFz9sETpBBQBjVEozB+bBh1IRXq+ZXeG84c7FNZ1YOk0o6N3/UUDDevMPr7S1OM3AzwyXxhilcdZONbb/vLWSWQsgggtHOOzC/bueFzoTB+fLl5c0Tpzb9zouty695xAC0h25/9HS5HmsdqN1vyDffXri+mfpnoKlkWnvDuT8Uh3yFqnGPF0A3jYeugzE9KVPsBJDzihbLnjsN+TxgNeDrZDkb3oKgEIuhQ2i1GlyCEDGqLNhKBi95sfv/PPFtM7u72tKJ1Juf0pbUHpeYDbyaq/QBLLxFvH+nyig8kVwsXKYeroin/SNBCmgtRlQ+Vy51653OGyIRKFdNITvMdF474AaGXC+BMUdASIzlXDHDTcWzZeW3IsSMDoh40n6Nc4u+rf39z/67/9y/TztOWlVnm4fKETyajoqpzEtzGEx8WxwXZYra/0eYbcEy96YGI1I8u2trsng6XhydLii7tldBOpV5p5kuZQszfhOlkRCnuEoQbAQ0GwWawCcF3pEZoBlGr6TEzuU69qGlcdCVwKAOlcWlG0Okb3Pg+wIoTlmQpXJDgmKl9rQnRXHQO2Zl4pvWbSnclkYO1MlEmQ4qiiCTaTIPoEy/HtHRYm6XeOJpj6V4kHaMVUJdmE8V/bb968Qocaa4rdTt/F1Hbbf/X6xc3NLU0L1Q7OLbzmJFnyL5QCVI7tEIOVUXDoNNt9s+FhYgjPJ8bgYvDweWy5zMlVkzICJAMdsFbYH4rYhuZPEzx8IeIljY8O95eYo/K7yX6ynqCirB/8ZYgbHM9lQEXVMnHhqKCHDhtIRyx6bmZV0USrO0HmGzETQk253e3Yq8WSrpnMnhpj1CHwaF9bEToDMP8perJlVc+n/hohfqP51AyvGyYWHMKF2Bt8MB65zXl82UEXwsDGVTD43lg/OJ2lSFyEuxIZ5348FmfTnNTCVyUCJzX/YKJJRlvEZhlNez73z88J2on83Jm1LOP6+177ZmfaJEEkfjtmPoIDYDgxPyRA9QvXLFkBYb6+jFeIq676nQFakNslxWwWUkKpsrdcPC4WLcuCzUJUk0mcgV//M5nv9KJWuLTVh/YcKRnv7oPX6oaXv7t8/NMkfTNaVE5REPVQ2w3ZpzUX5u3trXXd9W7knDqaKNSmgQQKN5qtrlQV1sd3SubkyjGt7g9KCogWldrCNsEahkYIXrsOARcCIRBuhAcIsAS6RB1IP1J6Wa7DwmFveBC1YAse4GVa8GXLkywtPODK3zSuad7wMMxOngskadZTgdW1TrqZtuNJekiXdcLidqKtlNzpgmhIxC878x2UID2pSYHxSKwBDP3VycPT9euXivC8xXxBu+l8yK6gPxwM8+BqcDAc/PDjd9qnstXuo00+xdbD+0svXD1NwuFgiOGG5VPJYFYQde8gYXLt8mGD57RztNG9zqDjz4PR6Gw2nQVPGzoBO6YkuEGxnsA4UHUVh2x2018Ylxcy1HVBSe3ZYSfOGzgGHT9OENPi9FqO7OInrnT8vc+v6YCLsQyXespi9ryyIrvhGLNxP3lc8E/Do4Uh16Sd01E13vXIloSqqwVx+B806szWdavbwAwEhpX6Z897FlMDz2OT0D7hEDNeDXcaYDlsU20qjm3DRvjU8F8F5k0znN5PDFxB7roppXunGq1Wl5t+5vouXE197MNuEguPVSp3BFOv4xpOy2k43UZkIpLk3PnAOafDriNgxxCVD7umdJXQy4Id4UKjf//xQ//8YrSLzTrvXc6eZstwtpeFJNoq3XSbGtV+AwKqk6Lyv/2wcyAAUQfOjFCsXE6d7sK56rdHlqiypdOyneefrEvqnFS53Pk863T7Z+fYZ8uM1nTGfd+1BP1rzvM1MaTLe+1OcBe6Q6//2nJuNsd2ygUEziDwDCtbRNMz16uV1bVEslW8t9Yzh/SqfivDgdXVlN1BgSSFLAnzVpg9Mb5AKdygKUyDO1Qd3u0ddVuZmujDJaqjOS1enpVLBnjaFjzLXKa4aL4GMx4IlL9UVTe3Rk6/F7ZLWSBwviZpapzLkKkOl2qrXkmSgTlVhktIQtIvJD6gQdIQ9n5XPbJ3rsoM8aSVbNjUGquW2cp8VZG0zPzxEYNJzKGqCcPlYgmbxV+YKgiegwzk/y/OepevXugdBuC6Zq/bZ18zGD+ObW9t2i3Ga7fdmzcf1YS+VaKgy3/Yg+i0UOLi6GolO5PiYwsu5SFwWjyuL96cL5+WXEfs9FrrqQsvpTkq/L2Z/VYw4zZ9K9wWfqPbzpKGEFgTQ4IEhM3DEMLOO/8oGq3PbWc1gg9p+Jvk2uuF2uH1jXGYz5XqrU2kKofEtYoT4OrRXV2IJIrPk4fH9puWNxdjXQYOyRBRx6elm4KPeyuo3nEAK3KzvKybdsuXY+LGqmD8sm5of4W381XQREK5xcVWQK6IanrY2eRQGZ/l7UZmLtGUXTTcWBpbL5vLD45xGXhPsIPRgkSOtbXmKr4Bm4XGVbjFZnmew+TNyTz9hVX01XQyuLgcjEbQYSGGnOD/cP3jhy8fGuGUAbXz0fjCAO116zADlnKYFjizz9A2RIhNC+gX3skXmazks/3G55n7sHAve60zbg1s3+dQw87BjKa+bCj2ge/vFk9PPVzujM7yDFwGk52foKRPrDKL5c6MXyMBGu7KxOj082z0XQ9+c9MpbYTcIRYJA6iIbZ+SCmFaH32HSsTUNMDMUESQUUZgljl4rgQtTHO8pcW5YWFaqAsBk0Q1DQ6LC9NUB8JUaVKnJnSZqo/k4J3w/KFhNbQDYikR2QGza6IFn/APSAFEGEsKnjRyBxSTZKHCSQFJ4C/khcpqJlfjQ61ZRPfClizfqi7x+nhg+Yo9ifPq4ZStCmMgGxRn2P3LGP3015/agyHcz3Q85bCJS7kcBF4zR6LCGm9Gkf1wKQPS5+Y2f7tW++7jk7vyu5dsYWUtwglLswPr4nEISGNHDa6aHeSUzwWu+5qX1+dIuzC5bi/mnZxNLCrLZg6BK9Y7mxZrqN/ptr2hhw80fy228V22/A2ntTZlSd1+mJXubu9/+0+/4eqgphCIBL6bP4vF8vbLQ0IwXPFXCsdRfr+HNSmv76CtX92SMuISdme78MbA7e+YErcyaCHWVlDykS5Cmq4e6bZDdNZaTleu1nd7hkfXJBD/QV42FRdyDiw46c+MeyRJxeQNfdw3fCsMFiu/WmRXvErkmsWde77pYF8jF6MCpCOgUBEdZBJIH/VCZ+6PUna5WDLb54b3OehxNVCs4HKWu8YzZTKmoE3Px8waVRT7IYvH+8VkDJs1VMYSM0Xwybi7Hl09zqb5qHyIJhthj2pWPg9ChQAn0XBPksjIQquM1YfrskmoenGCxs3Ce1i6F73WhTiA3+IXgUYzcE+dKnNuiGxPXO5MxriFGJwd5XJHac4JBsnLNl7f8itaq+WYmUV9IcxTxBtxnTn07ZDl3Gugh+G3r5Rjq6Vncc9556PokFGjfrM0iYEGb3GIgQZt2orC6Sxm7EIs5FaTKhAD7onaa2HKdCCoJus4wyGZkNNpeBfq4tKU2GgU3axTcTiZUvQn8JFg8Q6bpbXg0VwSVzY8hRn+IQKZKWjBMlRpWRLwJAlIfEwrAzAB9bVeDiwxgyo0DAVonEshEpEdXPvVks2VO58yYEZd86J3ttldpcBwPRu/9Mif7py/hzOrZbW9YCZsFV2JGcW1jQzIGrYQvXIHHoxEnsOTdKIep2rlYrvCesPlPlS+MAoqhbBsIaPqiTEqVk2kCIwyThJXj3Ybo+wdDjJFMMMD+9Xo+MFDQMnynXo6ZnN2f/dfvv+73/+OKsjKrDitDx8+/dcf/wz9IKXjiFO0zeR8cNOcVMHsYr1BFrq4sVNw49fTEhHdSvPozuUlLkR6MunxJLDOC7WQ6wH9xnqJaYCuFwjX63O/s4nnIStdRB1oxWk2aBbH7xuaxoqW36q433xx/frm7q6atm3Lm7irl3bP7lQnrIVaE54U4ULP4Ayy5AFLsI46Lk5DuzTNXiO4a2G7Nw5sYEHec3w2CjoE6sK+PvM2owUKTLFZYm8KGqQDMfixuL+D4RheXnF8lm4fDYTcKWJJiip4oTEpInBFHlAQXTsILoqBk0kuszFzspwPyhlkJpZPL2zeL/2n5fLMal0NGHUZHFg1lWdDYbNosmA9HSPD6/QH2IJPJOV5sBUh+nwQ7mqLiioyfK0o8AmHbnCO5WIx4bq6aQ64AaMmGmKauH+c0lx+OMLFhscR/+AC9QuzjoFlXQNdX0WTBEQrAYFQlO8VazkX9dimOTYG3BulFrASNxLdGuIrmWCjm917cEtUAQ6MemkGrowb2+B93Bt6IzywdKhnnUAYnkGGJqjgeDKJj/9kCFGZBE7SATqElgWZEzZobkJMSn62F6bg1BoOQZet3Jk5VI+WPFoFc1g+0REhZVdFEpCI9B/vn968e9VqtMfOhCuD1qiNgU7fcdsXwk5h8cludD3b22nVkN4FLD45grZ3dq5uB3LWwA5uLrZ1wiErGM43XHwiO3O73e/0z3rrJxvVbXIh87L63Wmw6hQdCcFjrcePf/7PP/3T738HUcEU/scf/nh7cyfTDS3I5TqEYD5m6LdGUIDt7pHJlows6V5L6n76l6jX5edgjiqPVbAKMWy2nM3hEqSmSt4+fNuZfnCszsHyLGkSnjLKzKNRHRJVXSWqgAlz4C1868Lyn0qZHRb5FceHTy2313oZmpwYgmv+qTl2QAYl96aPIvn19L+f0nhuwyRhpkFYOkVw0hUGLfUg0F2HGJqLghREZnD4FeU0eo3YKilF2JUgYrMYG7Pbm3mnc3Z5jUn0FETseJW2RjoZ77rb4De63Hg49GHWQlKBQnoGAPdUmNFk3ytyjNIGlusIa3+8Xp51Tdisbk5dGok3/4S5xKZD03CX84fFHHHf8Pw8X2gGB/2ZNCA8HyH6b2HKbxUIuXgrL1yaomSFMeb0wT1WyhBHrg3/yl5xH7Nl9kZt97YxMLcJqQbqaihtxKtiw58ptWzVifmwPGByxMrrykBDES9GmojBajbpqjwQQugXmCrdO3TKwas59dJ5GTiAZX+ialpY5gkCKYsitpaHE0CVC8tf73yQRqexaHTN1YL/admpkzTI0UBKJh2GQGo+YnJ6VnI5uhYbAGjpOpwg4h6HDVhn7q1wEYPUqWf1z73+eL1eoZDebnYXRFQ+1FfO7dSwMZF95Q4wAidsD02sw2N/z18FwZMzeNlbxDrM2F5wZk7FPTzwxAX1n//wn2dXV3/9858Z2Wfol4rbnkhVMY8d0nk20uvQuXh3+XD3ZJXccYRuIVQ9ZeSB7AhJZRMmIOp1WajLJ8EdIPPR9sw+v768/9Qwm22cIpIAmZb41Wuymdl7ytbw0+tnmnTzpReFyChIVV3qGlW9KHUmbHIzefnbV7cPNzC+mSj9iYEea9FDS4+qPjT9Ch6rMHsmEBsNTK7GtGX9tv2ozDRkEqQ+pRIwBNCyBIoqUgPuFpXBVBpaP2zMRRgfBaZqrrisIe6U5ezcWydNFLNZ6vjMdSY3n2fd7gg2qx+xOD6XHGs+QmcytaLmVTNHUTLZDXW62eMqrI9CuQzkYpZ2GxBNNbGDib0atg3YrH7OjZWutVqRqbi43HnC11NXLhsi6k4aZxtq9kufDP4SGawgOOtw60X1xzbWDKgODlfNxuxpbl213YUfTsxBe4dJ9G0Y6S9h9IXfFUdl3B8smYpLliYNiLM/aFs/ZbtukugDQlRksZZOByV8D9SeLOtJYATuuJ+EzaI43lOD6Ti4Rbm3h3FRil9UGC2+mWXU4vK/I0eVafKIipmFiVDbgIhsD6EMslaOikzZz/QJizL+8qVzMXJXBtcGjcbT65dv6dxHf8XSfsYEGbT9mBMqw4EFRaLYJ7l+B1sM+cfFMbuxvvVQNMa6AfJz4wVmO+NBzynhA3NQ1RBgBNrzye1sPMQFHf92PewsxX487JPnjV6cuZ/xpHyCJ70wgH1hv8tcdkIey2EtbGFS3lm62vUPOOC2p3tmBguRz52gVnuBYKpPuJC9MqrE4To0Wk0fNpxz4ZIHNUEdU8ZjFVFYMayw62Nxo292bv9wv9PFISDgruLaiSn/BgbgEcAaDSzE98yuVB1vAT6/G9LNFNzt9S5fvFqvFpO7GwSrSayybiDSLBSVQscef/k47nbO3r7oNSzkPUmyOi+KEayTsDiNZMefc9zISSJsNPCOso5XWrkkbfLSnLvhfLzut2Cz2sOcvyyUbTgqpUmRZvE/FX/68mlq9d+8f5+AKHthcOnxxcpSluabhQsXLuSguJ+C9nKbbvfasO/9QWOodeGPQ1XYrGar7c/HhXCqR0Ry9kd7okBXCCERcWH/Ci6KSUab0aHxjxFWFZaVCUzYLMJPy8ClC6paXdLpar7TQJo6a6avTpbmYUkJ5Dw7ddgpe3W5v4RYWlImxRaMPWrGPvYFZY8rqyjNUDC0auJcPSRqAjlJMu6U2Kvpy+8uw3nbZV/qrIeDUafZm/tKTzA8f3UZWSgoK05vfRgbUAXb1XyyyCOhOHlQvCkDaeUbXQM/yvqhkfO58iE1k0lG6J/Tpla4HC9f/O7Nlw/zsq3bji5MFam7PI9VLuSUZrHYuHprb9jvmax8LbmYIxjZrf51c8LC1t06bMphUhKwo84luXSwUL3I/A4jfqSVd3+6T5kQqyxLFM5EjvUiNO7hl3ekzQVBPYAAACAASURBVEaTHrskLaxWoREkXEMtGtM8FqIc9h4B8qpriDo08GU5xdwsbsMbEHOFMg2XCGmc0dk51+im46fZwx2ahzFmTJuMEcT8SprluLNPtxMcxXLRJE6x61faQDFYtepSCI2Og91hTsvE+q4oeMiCKtPaXvCbS47LJo41c2CzRr0tAxwKYbTnxbOhI77wjE64vLu5efn6dQaBzKe0u5pgf4ESrEhGr9BTbJb0S/qBSNz75sio620mnbfwnbagw6CfwliIoiRcIpBg6VjQRjBSmFIraVEhGDBs8HWtHgo/tD8HU6z+SV8U5j1JoGazWGcZPvQ4JZ4EbALkxAwWiLLgJdD3eqGGDD/+JrmobTVrSeLDJtykiF/OC/TEo6vPX+pOf/PCdaF2yPFXKSmfsgpQumyPvkpZCJCwlBC6D3ezwdu254gSIoKroClSH26xZeulkdpQh0zKpOEsBhooHMCy5RdjDJsx4yzgEczQVuxCtoATfINdyKljm78hNUAZjLPOwvZM1UOVqzs+RoEaHdAHZALMQVnjguNf0FvP1tawg2AhbMu8I+w+J0QufviqTJTFAJ7rV4lxDmibRriGTyme5Qtxhcd6agaax9JHHdtdVJhJAmm6ntfb5x4oddL56D8U38POwLj7y+yqO+oY2ABBlQsCRvaWZU3SGKB6hLTBFytZrfPLq9H5xeTxYf50D78fJ9PK4J50Iw4DHG6IOnBlcWzVLzwmXEdqYq5KXBZHG6IxxhSXTgCtooMFrctRUWyjIZ2gzjt+Oz/N3M7cvey3zvvSYulcajgErCvjyeTVcMeejYz6fBCC1/u3NKhv+w5Cyj5DjIWaITLjvY24KT9zxjkO+IUx5XpF4QxWDY3Wi/mrBsb5CxOTRl8zRO92YOENab2aYicFEzmRkWct79Q8UCGEUwVqpoXimOVOy2bllrGjUa45v0MZmp9Ipi0yUrea2TWaiBOfz4b70S1RBUBXPz3dMH4Kq6/ODjagikl1E/+P8cZpp2HhMKfhjGcvXl1Y7VFLGVhvB4MzjBWxgIpaRqSlJJo/HJYrxp2XbhcL8LJbhb9i6icW7pN9f77mLAn+Q9BL3VLGo1/rWjzelN0ZzgOJQtrNsGeGEzjdgoLSuVD8klMdu2EvbFRnYIxL2AFqsAEF2ZckS8Pe/S5QAHsKYOvpGmlfuMRkvj+ejq9fXYOwPXP7511/DL+1tVLuxiyTYlP1TEThZ5SaRpJGO0lLFZazHchOUfNYH8xV2PGt1ckshtNHqkqKOugsqZH0GYb8+euI7NDCgWaEDmOBhS62ibWNY5wEd4oeHTZ92fqeWYXn8sXL0cXl5OF+OXkEQJxL2Cz2rXJP1MA9p9eqwWNxcQ93BRiGi4Hs/UtlYaBayr52OjNjHCkT3cpam6CYTlD/3Qm1TQfvomembToAnLlhJX7bQg5SSwHGBAlCpNFsVmnibxFBG+VP/WTaiEbEs4wKw+x4K654Fz1xixXFse+N8AFD5JbFaWK1O25kQ7Gk6TLNYmtiNQmbHXzmkJeBonXSvxqbBY+lFbuhzUK09wqMx/BemUoS0xbS3yWPGvUb7WBSyuiC6suzlEDaBNMW2vLEJuiX+papPmjCTlXL50ijKexUdaocEacqpBgONn1wQSM6sgoJMZi+RvEc3d7G6C2ryRCdCXLy0jI709WTZQ7+9uFvlxcXl2dX0BUbdAtNeEVgy8UKJ8i4MmSNZ2RizYEJlKjCgk0ORtIxLtskVqtSKi0EQiC83Ivvrz7/3zfdnBJJJgsSLPPMYKOwmi6aMCirRKoU4UiV+Q+6l8qf/kEOIMKMmoBJJwOwiZAEjhX5R4ptWjaauO5pmMYcM+LYGltidYzz29YoXHlOzyRQOOCoVjXLi5NpoU38VfWri0iaSo+IYyaNqsJycZrHGg7Mx7kLe5WLrx8gNeY/1TH0j65Qtpvgx6WCGIHn4mtcmhCKT0fE30VliuybrlP8WRLPjvz69Zuzq+vx/e16Nk44U4rAgpScqhttHIQi+apml+kCrCMkYA97geDx7pzJK1tKOJpyGw2Z9Ds/WdbFpsNqed5tXQ7aLO0AFymgMK7iCqkMQkKQiYY7zZ3tnrLMXydcjsiLOBVFSvSR+j0lygBk5tVnuPkqJuSUjyJkY8CdGxpZyxpRjkRJq9fbKOMzyDDgj2TTXoxDs4M0S0ZEbMjq4POxQiQLA6FJHs1mMcXxXpisZuCxwyZdjBav6RBaBJaCvzw6RONKY6Wz/G/8nuGoqDgtwLN3leMGjDJWTbP1YMtUUy/lEanYfiunfrK/kkWcS+vrps9llO3+hxx6gx43oXjhWis858pdroynYAWP4nBjD1ujaSwgp/6gP58tHu6fsF2KTBd9l/rCFFmlxvr4cRuPdBmF705D1HC5ArWzAz38gRhO4OOe2bSa4YoiRVDBP/x5GRyTcFCC3qjiWZoc02T6t7B0Fcjqawza3pRmSbFBufRKm6dqq5PkwE4LtmfACF0/1pW//vmnURcToxHwZMnhhbDVZMwVMDrEdqaujyHYVji0ncdmX8nzE5gVL3u2eCkkPeF+tZkEAQtaaOdcCG1liLcUw01E0rlUXjDe0QacBiK+4qCCrlaSCUnPqop4J5lIN8DjN2kQOe0DvlzKiuy8xbHQ28u37+2r6/ubj/iW0eswkdAJ1Czd3ewy9ET9a2svEuc/0S9baVbLDLDERoNSdj7ZrIRF+Eex6eBh0wFb8Fx+pPSWGK7bmkwyyOhPPUXrvyC0o8MKQTxPYJGMflOSHg4QyQnHBaDgdMo85GzKzr3BzSqOViKQXhWSLsSamCHNK1IzbqwO2wUu2Uww/2+lpFlg9I/CZsER7Sa4XOsVB8BPQL5JU0q/HM39FZeUCqWU1Nezv1aQL1HPwVBSQdm1UMt48ol/n62yh7YoikfokeIDSxZmZmtPnPqF6FMJwGKspfuMlmN7to2rGjFnx07aalgOxqvmdmeA/lmsjp6qLmMPUUowXXA67LpOr9dpuju5nlR+Me8o80Y6aOc7bJA9tdujdmNSkVEqzj01ZAmY5fTWYbPX8GGm2KB1u6L7gqKMjAvVIn7QuVQma+bTmusay/Orf37x93//UKisDfPn20Frc5C0Y3UAid5odHF1oeuOiW3H8b58/NIL/cLzU1ycTB8eLl+9cm2ZGKlox2rjNhGx487WK0hQTBEFCQuD1Lg45VpSWAqBWqQEh4za3vs6Ou8JRyWZ+ZelltZ5e23bLeyD5h5kPI1+sLizf/M/3z3N52SPJhxYJyRYaci5vJCWqGmqI8dcpATQv1dv3ravww//62dT2KnoETYrVCfmzZawWRiDr17J44x7/VIzVty8BMu1xUYDYqz4sGgvqDsSw5Qu3eDVqCWnJCI/s5iiq/OwZpGSNIncYscoqgZ3uliwijc+VUAV8jIL5QmvKltJHDdvA/cQhUt2awnhd0rEV0wiuqnbuIAuOUOEEkU1K3SRZjW+nTQLsmGXUpOfYcxSHf7SqGQ5kMHSzERCr9JUInY+3AhYSRdXBes6VKU4dVw03ymw+Rao2QF7IUWrSqF75SlJnEypJfF7BxsoGHVgkFTGZhhw+ubAUVVLjqNSqFerNxicn2MQHZt46bIN6NNorwN7OOqvxsX2V1hMhqPebBriv3k1n18Ms0cPaYCnel8/rodvhrPHCQKGDUyhwmgSljlFzStiwvRi+ObFO+w1GEN2HbLWSicqKZ2aw6Mutfp9Vp3ldBq66+oVlNxcEbLnq9aw1cBDxvZDew6/64+xCqEaLCKbSroBKfhX8AU92Wm1WlfXF7Cs88m06duJHCtdjhH4s/Gk9YLFUnwc+Tbq/JVlpDPL+16JN5ml/fh/+4nreCDMbWDFX37Df/tv737+Xz+LcKhpJjrvuSIVCWgYycJSDBIBqH/x7uLxr48MHG4aplNhrh0drHZXDDhxFaOxpIr0Doe0nKPlykzlJE6EmuQ2DU7M0WCHTeqG/e62GSSrjeu65dUPr8xl5+nmc9poFpM3TByMddgwEQ/AqzHEUiUc+6rEtyZLaQYQpugJEbuoe22RMlDKP1ndqYjjyimPlTqHKsuh+Spmcp4kjZBf8vGNXjipKuNUchjJXKOWKmKOQhy+wlsVe8hR/EOu5DggOfuDfccYbhy89etgjkQ9eH3dish9RGwWvN58LBrwvR73IuhXmB5GyFeQZml6qC6RBhfxgLr5CBXJ0GXGxnZ8rjoFAaQTOlWPjqZIQKT1zpigE66/AMQzBCFX/Goa7rru9Cj1oCn4m2+BZ6iigKTorVFyynmvEGW15ObXCRYRXNB0RUallzuRUWGDMlrs90Ord3758t1rqmbbGztvNzc3DTN4ff3WCFvwEoNuf2mMZYoogg019/sWRIirkGZs+EdjTQ7CmQLKWBbZtROdr2Nhe8SB/iKA53tsjlGw1zjJTCYjKds/XJC/urxOLyfUNBpB4gdaIGr6kc4NQw5JF7PF8vG+WnhA4tndfPhysJjNNBHGqAmRLB9X/Zdd+29rHaVaYIeMR/QLUHPG409bzD8OBn102kYX5+vlylvP8+rPtKe3XHgLkJeSnaWHOn8gk11RDyXIPdtLnToeUzjCSHfldK67boDxbHFZ+dQMI9sNyQojvZkhgaoyOV999U/9+y932GNr2kzJm6YTBgu6DZuOY/cv+/ZShAfQKipZ0HgV0Ii8sAnZfHA/tl0sipq+NV+ueoPGWbvVIZ7s/LVnHl6krEYfh33TO3Vdl26OYQub1WggUEC5TvyEno7NEgaRI470zkTVR9w8y1jY3HVUwSf7gz8GYOnjKo6ZdsJlVJJG/m6N6WgG2g7bCeykCZjodonf0uVBSPJJ1+45yyVAhBTLPeRUsG4UmHjIgbzL9Bm0BSwSc2cpKbTihdpzVuHjdHpmG20LPotuok2+LZsFAqxEoE1zyWSaM6FQzGCRjUcPS52ZylTzTyTW1FnRRqeNYmFIO8k5LXCqoxshAatbgEaIaDeJeM4XoXLOs1JFJPKSVNjzvMKgxHpUagVhsyB6VPw9sjwqNTgb0bzAYUW343PAwLCn4/mr6zdm2A5N38AYSt+gwTMirqR0/GUQGwTD9WyKy5oWHE23q0Rirfl8gXjGnY/LzFDRjLVXxWgciE8vF4PfBiYYKuYX0AtmZu8yms01IUUgFHeutWh1iG4EHIetVus6zepO3asfr8aNSTdnccAb+8O35twMuEuQNFH1Cx3hOh5XcfUcwYg/Oxs+PIytfm8pd7MTQ0qyNmtQCDlcH7lXy8UKprE225gW8+jE6oKeL1YNkB185MGlU+vJ5/GLHy8/fUQwK5zxOvSejPZ1w3w49FALW6fOkoumoTVqtc4b6zvPXLMMSfPq3S7+OPHVeXk+Wvy84FBZkKdkd9MF+epAzDycTPNgG/a7l/+E+vp0Mva682l7Ya6Gl9YLnavpt3xjycE6VkZRvaP15HJJEzXkjVCWmZ7EKCzBZni+yzAt26jkMSkLoenaHbmkkk5A6Rx5ENWwBliWSGY51qx0soS7kexbAJJU23B1sDRJszO7l+M+xTZlPAUlmXkRyOrRY7NspSNRgmQ6+1d4l/PfAx5pXL1i7J0dqxlmlYecUmwQvSTy1naJ9gPng3DVgBCrEjUU45LCOCdVbNZ6OWPy2WKzdrIoCZBjXiiFhwlTX5hAxgRTBSWXwRQGC/KSoRkzyKTm+cqcRBl+Xy2cRqDVkpFGC9COaREdmOxFCqfCXPavpd1Xt5DieSmTm5GIjMpiYDGRQP4YkWoojkqnqwUjA7LwE8gonDLAWNH5h4Y7VEpKbnELsTKyg3bb4pyqOTwfrBbr4XCQhSMKksp6oNFEjnV5ecbhSDoN0k3oeYmZTznMKsBccVdlE6amAomVhidpPH44suyOuuG9k9BJutDkvdc906NJBlU8rHQsivkJgwWBMcrmsznclbtedovwTGDqF8x50ykGlixyqhHwf+uJ07lsh4/ReRpog2eCfAYUn5C49g2cRI3Ohk9PU7BaLFZcwkrC00CYG7HXGp6FFy/PxpNH38c58iZlkqXgRZExa1ncnAVJDgjaWc0DYOosDAjElsiTONgD7ZVp+23PWBvjpnGYDVLA0iOzx1mn1378NOtzTP6ug10P+9btBsiZ5BS4H1rOpyA8xzAo9wiE1RATUZ5kTPdCulJQKFlF9Y97unLHXIyYXA1eeN4Fjqe03F2nbzVbNj6e8duMB0CFjGaz8LQDF5V2/altS2IQhcM73EKzSwdmutD672SjCuCVgSArleeyHtPCdoWVr2gUqgIT0tG4ZCZGmkjxUjopdPamE+DsCbMsTDR5Tep8FcCIQD1C87GEyKRQGPGcgfR7jbmhDAO9kZS2L6OfwpxNE+ewxRoaJWxuBGbLQMP2FaWkoOQMkd1dhiqSNBUv7Ej6HRwd2suZjSVutOvoOGZaSJ2XMv64AmDNKDgEPZ9Tymq1AnNYAgLzgqsEIAmExyJDhplIUtR5oYznq1UZAnuRSwYITcNDY/FXRwGNKlTDJHF1gkwpJ/rc2rzE+J4CNrvydog79qbyHiOnE3BUSyYpxuIWv3KKwjYwmCye7u5ev3/HbEmTQqJqVATdNnKZQGzzGMiiWu6Td/bSmj2tho0Ng0VKeAKZRuXqeLtZMoARekH0WFJZz57yDssEFS0ajObrhApk/iRM9XLBRDp/mpqX3U+L2YvBEO91myql3sjeG4ol5TR1JfEqHFkvJYSr5Yp/bK95x2gxK0GSrOyF7MvH5eBqaH9cJEgnie179+y3o6f7CdcUdSCQScbfJE3mxQ/86WTKpQFOCWUuaJmDYe/u5oHZADFVJjGf4IpPXYx2Lsar0Ztz/LqgfJdPVhnyDIsUhLSHSLIKu61Wpd2CBnp+DDrsqTcGfnDP3VjOCsPNWWEVsOI4e26bF41ev20tOvZf/XAQtOCYRaldDF4jtWqGLdIYFjydQMCnYa/B5REZLZBmAdAgmKOJeHkuZ3oYuVWdTjK6c9jaMq0JVcpYY5Cl/ORQZSWvCoXNkoO8DWEz2mhYJJSMObKIqG03kRYgCIuYV7VRW3/QwfCRPZ+LMtZpH/hN8wWX/GW32LbwjFxAz+kSQYWHkGqNsGcg3zQWBe9Md7R8QcQeQWoOEPohTxEJ5UBBSbhWygVLgIZSGEVgYqABlMUUSNGTGHDXjnGKkuwOQ3u+BZvlr5BmwWYlh4Zw0izlPLtB1EsB5Wi6B2aaTaJN+SRK72EUPWfbVgyv89QrqDQVwzJdcGm600XsO9BJD5I8GgWahof24u/pkHoWSKqmRw3qzdAUwzchFj4FJstuwHlfw18ojiqN+yZDOvSU7/Z0Nu1Pzi5xny64IMSCw2+bHWxduY6LP1rTbxuYTwnx0jKjj5j45CxDLLabXLYWqV7lA6MgTomtDrdPCh/VApQMPQgFxGSwgxj8NbYabJZYmaNKUGCzDBeCv2rKVTO25qCiuZuCWETZsot6/irSl8Lt7paN5kKM48Dl02L0/fki8AtMNmPZlMucPZzYxakrf8GJIcClNlZQxi+jg5mCU8K//vdP4MmjaG8LRAAH7Pq9Vs9fLidP6rKVccjskYe8VcyeHyLCiRaPPXOq5BtkIt5aQnX38hfDnHyGVriaueetocqBjX5tg9S8U56wdWDNv5j7kDnXFhqSTkyEkT6H8gxL4aPWjzZDVAMU0ZR+NLvM+/asRcctphOozrhutHrcEXS6nWLFYWDCHgtFKk4iAqt+2Gx2uDUWCJvFPh0qjWNJq+Rb7Q6ioMPYLOThHBHGAKNfHwUsJmFh+MqHUybPPp+cT9EyiKOAjmb0ppdLgDAciIHs9UtJKgmmY4D51R7wyZsYPaR0IRuaoWrHpcFqItzXWyV5hV2Ob4Ry7Awl5x86RGvFcexwvHYBOoQUBJu1mK7bXbkzhGY2y8SRbBatBBBNM0ySFSQBwWg2S3PwjGxCklrvYOqTdL+0F1aCag33dAOBvB42X5kLPL7RQFvTqIyMA8DBQXTCliUbfNUIIqPyZuiFy0Arhbchj9IkR0ZQ+NPNTbffwyw7rC+dhRKV43balrm214Ph4Lz5tnnexCjW0DJguZjvGYqa3OsUzfIAWLas3DRWbcjKQpm6ykL/6n/xRCQvtZ+m15xNlk1cjAyS5Seb2Qj9248fOfT8l9//jiFKdFIqZXFi/7e//u3Tx89ESaUQwqH2zqlNRXdsl4ChVNdfedz5wi7T9sNKbD+5g+uBjc5QDJBCaQpWDZ12Ey6eGVd2u93tWZi7oHmZRFBqXK85RFKaMdvA9RfKQ2i1IxanfdezhWd64iev3kOrk7Cc7OpBKUmlqlm/N5NmgBIUMWyDTZAEY5FigTaHTbCtqW5XPJb/KhQeaw8aUgWh+3t22Q/vgJEUhaClgSkPpV/dRKDFcf02UvIl5CqEnBVlcfVwjcIVPn6Hg9V8WcZgwVjBI5kBbBYdV/BoNosFBTZLenmzk4HtcOl17AC7LKEedyMKARTABGUW1K6VZbBch6N2xEV7uXkugF8W1FViH33eV2XDPc6vF1H+SiPveqJBvSvZSeIPVMAqLltXTug/V81kgkRQzW1S7h/sbodMIUi0dR6ApxX70smQhupPeKDNOEyn2P9ds1mut1jYy7bFZR3crUfGQqvZo0xR4KP5JPAnY66JMsk3n6TU3IUWdyVsVnaO3uSo/cZSASq1k58mIQyWXEhOPWxW9Hqmw/ZtoBSkX9qrnA3UxYkr9yg5w1HJI4KWwGm4U+V8pi4I0pGdEqNhsEe+fZKC092Hj+9+/QNlMY/TfRiLwpSljbq3iBtlckc9ZTTqMOPtAzhKywLgugHcg+cuxZSwjJU8nD2qabssMKAFbhGzUogVyPdajdntzf9r2//H//wfaN5HpTabj/eP//GH/5hMpmRU6ITc2LI6nV4Hs911u5hZEJUVlsjC0pFvXf32xeLnWSLf0lMYSOsJVcqNH1ZPezrhi4Gjt5LE3t3es8x7LskLkEI/jv+0BDGAy0O3piUCkdRKHEM/4W+9tgF5KpuuYBoF3Q4SInRQliqdQ6WVwafGH8z6Gg3FLaYH/uhRfELvJ8dCYcpZO7/6/u3n2884j0uKRBbGASH7360ykujkRfVgvqYdZE6ezzhymuvxZDoc9PVSkeTjxQ0cJME9Ma1XNako5h8X8yKtTLNZtBrrCOc+TbOLVWDWoPxV03Rx+l1aW84Z5aZq+vEcuUIoEqwNSabjj33Xdg20sAQJVim4mLo0K4bh4tKUuYg9po9c3poBtPiGy62ZZ3cyoJJIxgS/Ugv53EyQRqt7qIeceCPXwENOMQue3DHM89y7Ea9MgcyyzU0kBzZr1cEhvTorZHKDW6hmsxLmQehbqSdWllMVCWtFtGazKHQzvKsyVcaB3JE4VYIvjaThKDqJZufxTdBIEHiml83CEBegNh/Jh6ilYzM9+mYBtBvueNMs8ewRp6/5+xVmDga06zzc3L18+1omYBFicS2kt0BDRdm/hTqZWQhcrwvMje6sB7dTECNZve58OSvz1SAzylZrlkJl4M3CVc8QI0V2S/xsVTcsJXrzyf/z7//+r//nv3HiyWngf/7hj58/fqJGFipmyAFYmkQesGMxzSMEg+VjQ4ZVv+gJbEQUttdUKtMyZWpWQpSg9ZyayYQQ3J4Ij2VZXQ5quX2JwQiYSLVXKahly2kPY2UxRhwLcPdCzlRg0jKQv8kndUxzHpuxU5+lyvQsEju1+KAZZSFDzdXqEDlWO7SX8FFBEy2rmLTNUctxfApQrDP+yWWh4kg/g05SfqamOhx1OMdd9c/PH/74sF4hCe7zMEsmuZxwGdhiLgFq2EHBLBIskKYBQwYrhTQiaUww5x+xDFnFZiHr2hSRlJW8CKrbu18dpW00wABF9JNv3ATEQS+MVfLBwNGGjMEyGFpuA61rMYFms8oS58Ofe6ak9bDxmy/3qJB4O6cm3pi7iiFKoNHyudtR9CiWrChCpho4/GheUhvRArQ3aZpNq5vluYvh7hmKb2kUER1nvrDNjvIzQc+qPaRcotJySg0yYSFOzjxoNgvG7gQM1p7VPzA5w5vmSAY5rBWU978lR5VvoC06RUY1wBgVqRQpI35fN9McVT77LzlkOR7PB/2hWG2QfYbV6Y+DW3tto+rBEfCLl1cgT6fT1/vWQh9hwJ+JG7eyRx+f6ZYsSxOHi82nFa4TDdHBYpe71StxotSv0Kpr/+Hf//3i5cubT5/QbH95Hq12ukbpoZ7Kt/uVQ7rNZlMnjwcGbq9XSzwIsmpttRifZc3IVIgca9oyL68v728egEdihlohHnLyKrdMJQ03IrwZesSYP3X6FRKCDKBiwJlER30iZNQMVaYRDgDKsR08q/Q45vNhI7YaNYKn5VgvQ/O2hj6WsBOQ5KQxuZ12cZstp4TyoJf18rdXkwntL2UEQ27J+taiWJVK5ZAuyPSpPmxrWdic4rh3OXFsOPtBvw97QcdxPmg3FqbXFR6udi+gzkhxMFLgxXu8NFN6wmbJETOcYRnNyNFnW271arQT5BniQsdh48XZYPTi5c8fb1ZKppVOdvA7fEAiwWKvxdyyAxStqYYMArUdKXPRtGURXeTSHRTAoa5RwNgfBEuJrMipa6pBqEpDR5s5lljUchFP7lsGvHJy2FC2p03OEJmZOXKS7n+ep9PCDHaAsutibeLQkEISNouJl/rqkGdlIWCzjmWwGDYHrxPVDZtwlzoZvU4DacqgdTKsaDWof+hYDHtabzyxWYMFA0fIwp43PVzL1Jgja8+i36yF2Js9fv7CDSPsS8FRGWgWYQ1+ueQUQo95/vKeKE7WRxTK5CG90e5w1gEbUZK37ghvdXHIx9LXwDpXMA3KbhEyMzF49baYEpmqJrc3lqxSeRlPGUolmMbBnM3JjE7TxCGMC10NQlz8g8BgRKL6OEXlL8vm4vERSIgRyQAAIABJREFU+6LuaommG8to/lJ9BoDfCuyV22sIB/D08NB7/z6FTibtc3+mSlaMFX9UUN2eTeOXNKkOxFBCc931LbQARQhYtpAqOVbwKjRuS45ukyLoGmQq/aDvTOzB28H0i+22na7fbcwaSHQ4ccXUO4lRanbXEe+V5M2/0O3UNO58jLEzWhpYNsFSL0YeTBaYxczBVMMaB5790PBd376w3vtrUX7a60GCBYWhQUhxad0axWY5iGPZ8yEwLvS0A3pYYEl1UlRyE4+c6xXeRl+9e/fi1cv3b19/+nL704fPa2ffe6kFVWG4t2VtEgQ5g9dTQUG6OIhVDDypo5J4xaG1f2nOQ6itBnw4RenUY56ks1UFiyBJxRUhEQlJtXAsUZRsR1hyfxBwkERh6sSAu/hNiqhXCi1MfHwgbFa7Ebi4OVu3BqNzyADcNCnCQki1n/k5lsGCDToJD0id0wIqag3Fl0FmO6JFcM/cON8GPGrp3Uv8BCNXF2pveNb0U8tfcygUUYOycfjslPHVKg8Lcvfx09sfv+cwwmoN3l79gFb7bLrqiaF2hn2akaiFFLTEQOIvG3d8v4hrhcXY7BaTuh5vdUYaFoMwiIRZoO6o7Y25OF0w6wm018Hyxh3ghrD80YWqlTEa7eVpUzFqYqDjZaPBKixLXsHjO2JJLB9RXVMRTXC9oLtro6/gAgqjs/4yxAqz/yHsG8bkcXJxHbk1zBcdhaTQVVUpTVgjYgMAZAoaQk7AyhmikgIKuQ4EMBQgdMiiXdCuESyU1rDd8HKXv8KwG/grv4sNhlVj8dOy2WkaZ43ggWMgc/y32cvfX37+KEJEeQqx0VGpvzSqVrCTHG7TfQqcybqDtQb1oAcjMu7ZhMsLjQHmh5r988F4ITbc931oAaw50BR4nqEltGRLAxFL7KEvJuBDrqW7aRPwVALOpZdzh0L/vfnuB6StLLRaV4z5/1fv37578+rnT1/+/uELymL7YphO31GyVk6EaB9suG/IJZ0o9a5PBkUfTCadQ1b8gzKlMCh5LZaaliTeBMcVlqFRMDw2CZM3PYrIx1mCNz/IQ46oTsijCKBgeiRKnyFKp6hLD0mh+kXlPvEfatTlgnoYruePSww7WJFuYkYb/cSlxuCKV5049hl/WQL1KqjLoH0TAdXOUmkahBw7k502Af30TERgWkH3wjWQ3CspCy7e7KdOcGcws/MIN7kw2ka1s4zT1vWQ+eUYDLz1+u9/+ckaDDC/vlyunh7GrPcvXl2x/YSPgE5gKsrg0y/Jk6Yo1XQQFa3aWLtB7g5TGt7uuZEiuPUXoPjrNVgSpoHTzV3iUxDZ32OG3tErMUsL7CF76Lz8TKYiRVGUXf6wqm/WWchPz5Ye1onKyUHWCDnP2WRM4AOAihxJxh7ylpftcN4YYONDjGUZlOStFqsldseq2MoYjcoax4nyv+m2kKaQFix9IiGWmFytTFcKYBOBMKhx3wmugvQVwk106g3By7gZVNsgRQ7dFDMI0giwwX7fc+c+Lj35bDnm4mF1/v1o/XNi1r+krejFuFzVFFG3ilSVO8LbSxspYbMCz/ZhfibNWXPGJYk4996/lAwjRaG4Bme4pe8SqsM12CycK3PCsGGzkA0hwcqXBKj+YGPiTieAzfrxV++/e/v6w6cbOC1bmSDO590ZggIWFdfiKDwT7EzP6kOajQIWmfcnHN0p++crxQ7ttGr9tu2cqnyN+Y7xsZ0v9SXHZ9xakyuEhU9p5VB1o6N1Hs4HNwSaAgN3pdNgaie9QdXIqqmJ1KVFpCDVeI3HiAwQlbwrNlB8ezWxm53k0sNzs1lHMViqReo2hxZQxbUWAVV9jqpGcz57kr0qW41Nqx+0z1wTjorB0BT/M/ZTO3AijiqfV22pNsF6GG++S95qJivJ/TWDlQjcsRdsjRkLnvviDH3iFuICRiPH9Ho1ShCiI3j4JJoE/E8C9kMEMpRUYPTHcz3spKstdLnkQQZ0LRo2WK3ZwGv+pFUGkBEcyl0zt8ui0urI7YPlYoUDLbnklX6AhIiF+mb6SddNpZSJIZ4dkqxgi5nIDvZhSx4WFZS0kIw/xwPLaJvO8menf9Huv+u4975W02a+nD89tbucDBQfDRyPjHRTrY6KiqLlFEnQvrWyZfohjXCryUVp4O2Gs5PH6nj4fYz6RvhvpLQzZAZSONguP62/+7/effi8lEbMlLZFGFlU4spm8qQqwZ3c0Dfsxswde/bqSK0ecIG6GX05o1mMSiRPynJpzGZBkLKuqu5IIVT1yrL34/fvOTT8+Pnm549f7P2lWZEClnIinaym+SKTRmXQEKvZrCiZJojyFs1D0yF1Ca4sfyocrEy6iuku2+GpREI48hnR5/4Ip2Ed7CGH80FdMmi0SyaB5AyR2+JJyyela/wJjyqSROzzItl1+iIoNJTV5pTQs5dTvB5o3SySPx+bdRSDBc+0RZGphqCe7G94ksrqRa+o1qls9V7zfVMv31GpDu941uW+3znzjY64/QKOtzSccdu360p/pb5QjR7wR1WifmYRvVSO6vqg8ilVTUQiIY9MHTL5suwECPaxXKUzYFoUDknfw1CUxhwNEUFB8pBXUVgTB5uLtTN+mpydjxTK0fgSIFID/J35fauS3ZDSN5aidOkFf33u1jTba45rUfeFbdtOYpjdwVDUSlrrVs/r988ZtGyIl8s1OraN3shZzbXr2U02Xf8UNQvqYLxJUfDG8R8pIi91BfFIlfB+La1Z+EjTHTGFhUaI1GE9Xptj0+ecVCm864Lou/Hdw4s3rwrLzQSmKp2JOeVnXNkTwGxOuaqL04PdoGIey7zfZR8LfSxkWO0gsnjlht7SXD3dTM7enc3nEyGwVDNRlx2EoXsWBIsSImZsPcH/CkQU6utUZGdV2dhgmxT+SdgsBLzxbA8GMZsFFRrDoRWs5rcf7OHFVX84SNVpRwmMfcVmvRI269PNXtKs+AqhzGNW7oAyUzBNqxks/XcrNpqktsJ2fpCpurN2QtAJmMBk96k7NDshqwm0zpRRszCVTN0fPMRDTnJ/UGbyEgWs5Hyw1yu9vaHJHCLZRe9btdJERZY6ucDQajONes5yzA18y+rp0+jnYLOOYrDSraDZqWTwUE+ItUyJaqtt9vygoIJhsCeQA5JTtbrlQmEDr30WCEelHn9p2k8tcdp24LDbnte3vwrrUiNJYb5nC4SoFYuoJgRei+URzCQ6gXABLXMxXyGtoccJJ79cYGMS364bXnFIyzR0f/ugThVDrpWjL4/BTI5CpuOp73ovL7InEbl67u4Ybs3BXmDe08DlcxdVfGFBk6fb7796/4bPxXpq2xNOdLHqNZnM9YBXPNZww2OBr5qC9Q6kzqSQFCTVx2BSquhNlBLWYUkSl3PpwMw7xVH+foUqELBuWBb9zY/f/+X+b01gZHqC09zAo8HPLsSK/S/kUZXdzT2XNOemEnLwtjNRnDzmsYx7pvE4MP8btgPPCbpKGCnHrZc+B3iLm+W7//F2Mn+S4/E9O0mSS7cUb430tQxJU4FTHstdIQxJ/rGXKLRNKiOTW3CgxJXT+5v5pDO6uOwN9mKz2j9+/907pFkcGn6+oZRdGNFRomRNRdmP4f2dhbM6CxM7zcJTJi+Qrt+z0fbPUYAjFdmEqmGrJ1FQ1VPoJvZEb4bZcRZityX/bCGzHQ06iXQKST29nX9oY81gQS07e0Q6g7ojyFVeOPPQJETNovxKYmmQ/R6mUKRZAfr8C6fZ6uJphx09IDVup1KB30F5ZSirYbMx7Klr+HWO/Kj/N9Fwj3uzoEnYY7TgqEY+p36a8r1ly348hqPKlFJEsJkkv7jPqMGE8GU2iH7L0OTiOPqHylRDVy5Vt9H6FUX1svRJOFtn3hFxTcYz7JCjII/cizMJTl3gvHotwxqghL0DDgRMWdWj1LCbXIGxO55ht41OM5hzL31z6ieKxuppm8g5ULvysEJEoGAkD2tuAyeF7mohh5/pkkQYt8djhuZ5OBSTAYUPlcAFm/E853RW0ByFi8W8c95tjAu04ugwdz6zsRhbrvJWo0sLK3Z4IHu9agnlfh1QDxG48UmzUa2P1eyGGP5gvUGNPjj3F4/2MBzwuV4vmm1RpDvkUQOtgpiJ4o7oyl5bogd+sqqLBCsymsWBCwMuggyl+1y7CHDExIhuoQAwvbudT7vCZvXl8nzNB58Hv/7hOw4NP3z68uHzbbUKPHI6Jg/mYtjbXtfS25iKglj7iQVVnopk+0bRBMeAA5l4lKvGjKYNxUPvi0q99LQDM0fgq8mqXhadSoyZxVXVssN87sTBMzqsdQjPaTivf39x9x/TToiGegwduCqzfG+F5gusFcLK0GMyD5z13IbN4j4EUiFKOBWbVZfBokjINKFUqsY7jjVOUcdaDZEkouZfX8Ndl55UloORVl9zVITJlXjhqB7UqV+C6IlehJz4lyawE0E+NRhF+HpO2ZP8W/3h1auXsgqm61kPP0WZ4j4Znmw5nfW6rV4X9oN1qoQFKQW7cz5kAJoNG9lN2OxyNwrl500Rsnioh/08xiLh8kCMVUE89/VQArG4IwmftcLQ9mKaPiuUvk11bil2qQjsPKW+tl9hFNfYAy9PoJJDtNU8xzbQ6It64wdyNptevr54eLynifPJUMaaPjxev32db/89a5mHfXiI4rF2MNCHQy/Jiae9STMs47Gk0zuN5lTszXodPEI6fb/HTVXCV4sl8v/sGXRJKYXBqn9L6ws1ogSDo3H8LKKxHvNChZD2C9RXCyF1uf2wZZs0ZrOwP4H3Ksee3HyZd63R1dXO87s0BhhP+g068O9ef/gobBZOe9KxybvyQthEpZOQCgWsJL0WXG003JOI9EvEMe7HNO2cU9IlZN6Rq8XMiho6yfjR88UBE0emgNxnyITml6m351KnAhLj7BBe+nppKgk2PiKliorzwXR6w0PXPmyNjHAiu18dJW0gK+6JH2Yy2CyEsMuZbeAY3Oql2axjDuJKGSzmR56kYlqImi6J9ewZanrihjsVOCyDIKPqDNaG3IbhpAQ9KnPN3SJlmOpUpRTCUY0cK+7pFMlQL8yghMglMacNjs6IZBI5gvAxR/Hy7Rv0LZA9yZZz/wdC5cqEuDV0W/16hgbyhSjebsd8ODhv259x5dYxnrDCvukG+kiM5qmHY0xkZxhK5aslq1e0zjHvtFo9Jpcl/x5uk3uF0nSnmysZsaPGoMDkVq7CB/Ac2GbAi47rOoPz/o2xxV+mweO4enz/dPXqOh0o76efGLMlVHzTR0lfpJNtejEdeqJ3FqstHkvmUykQYqP9G0Zg+ByowK+HjXmz0xK9OVJ4DoqFWANNM/B7I1RWXw0I5hivhXBCy+UCa48Yfdy7gPIMkDpdDXDqKlbj4yYGJa6nBU0PQwDsQ5AaPH3+1LZ6o8urCpFnvpxup/PbX3Nq+ObvHz9/+nKXZ7MiBSxlVdyqkJPFiKn7j9sa7vlSkxBy7TNL7Zk8KYZSRPKa+t5+LaHn7UT7fXE+6K3FxGL+SToxH0VIIp1C5Fa47xJ60HM7dtTqmTeHcia384vXZ5PJAlU0mkNGzz4tX4hqRSDI94XNWi9na7ON6NPSbBasjtTxIBc6EYMF6jwZjurrHPlVVLgwCjwLw08byC4LzfT2mWeIK7mm3IyxrdVtN8Bk8Td4tgrd+ng+ZApJWTU+CEgk/6slszBhfby4y6E3PQd3rD6bQNlieQwqkVCnFAS8C74d7K5ogMZEqH+lPURwpR4krEwymGTUyVrtFqeWOkr/nTxNTC4HxenJy6JbWmo657d+VwbAqWwTHkvcvBQZI6RFpDk8h/ubw9GwCGXiv80DtYIdy/zXLJ4tGGeF12HrAZ13KTsqPVBOeEyxZhY2OxgB1bQkVqNwheSsMLguFjCOeQRyZX0Zd2dnZzaC1dUKJ277WATYgRdEgDSO+WG5dhgC+k6fzgNn6Xs402RLImwW9+YfP3/s9Aejy8u8v8KKYthQ/fNvfvj+/VvYrI9f7pCaJYkjBgspIGO2XJ86YnZBKH+FMIFV+CIkXhhRHLhn8giIITLMKgoQalJTkXopLnqvUPZPvlOi4V5eYc4H4xuEkFDx6Eb7Sg87uhg2YydW0C3Pamxbv+48GJN2ICyOBkH4qepbiAZb334He10r2Cy0VjrdDZtFufuqJ4m6i8YYIquf+RsqQj1T48JItQZ+Z+Qx49EgcFTe3Fx+6bJr191AQ6G0X9glzx0IPtvkXTVgiwn8EBSjw/5NYQxnNUr2mVt2F2yK9ULmCTVV7E5ekAIFLDYYrBYHGHzfBrejZqbfavdbjZV0CA9oK2qURkHpgxDtRbERbNQTUbFNM1g3X+7G4/HL0dYlGgEiXbyj9G1UT/BFuXsdFCJqAUnP9larBZrZ4UrtKbf7TQ9PNBvW02m328XX9QkQPRkIOoy+20zQpxss2yhGBKJGLSajGuG0Eb4MmrdpRroFIxW0UbaC8nH2jUMn8cAUCC9mtbpISee716HtUgu+VBdv6luQotFAIMSDufelve4q1cfCZAcESls3Ghevv2sE3mL80EyplcHVeJ4tt1ZauNozsKP2sFrAZp1fXrEm1S8rZrPeYJv045dbXM2RF36OwcRswFoOEVZDo4lQMCC9ZrOqE29iNenUHrJ7JpeJJdFj2xRa8CaYK5ImrjY2BXDkQgC3WmmMosiqsOT+IKhgXqcwqaPsZYAqzmELE6jAaNgAh4cQ02st56vWiD3KJpOKkpQ6zSbipG9wilyFTNgslLMSaRbl7sEpka1+6qQKqkeP6s4E1F4vJ2TskFGhlt4euWwSqA6nfu7cWHyyUpPAXqg9Z2K9niclPNeyoAvQ+zp5543x9tzdzESrRrWcpiVV3OtFG2hlo8xpo0wTu1Tay4AzcgoJWyPGPObbQWfY8Rd+VgyuJPlsx3XK765+k8j2YfvAB6wo9OHh6fHhkUrmMSTwudu5sNYySam5qjA2CfQwWtf3WphPwu7VyhW7RoaPjQZpLmE0C3Bn2ZygjPXmlW6TBNS3fREOSyosrX0gtZVVIK6ntEWuReCxxs3Gli+dDgxWiAI26UUXQ4ENegFW09wnv9tr4Vm8rKi9wsuoOg2E0jm8xpgcZn4x9nsq/XeKRraB+Vmes8uryeP9cgz9b5ZwkX1gF150JhWbtVzcLRfWYIQ0i6k+jWH1O1zUP//2h1999+YnjJPe3CmBmTAL6FOr3VdVbs1Xgep+DJYGqSmpCvxWXP3kIIN+wVbm8o+I3GoM5HIYjIdyDzmViCTKVUwGhdqfUDhH3lI0zgDyJmfVwIlGjfxsHk4JZw/z9qDtjvVeLolSNdYZiyafJN2RL5rNcv3VYrpudXtc3oFfgmvX+lF1GKc9iPhIXE+SnYohzT4MlHBU52imR7d8sbrnzszFh97+LPth5R+YC1KiR7FckywIFdReEbVV/Fa6DUeld9zJUs9a9BWe5CQ6XqH2LpP20XMLp4SokreZKdQSR2C8ctWHSZ3VllByyDvjN5q/OPhaBq0zY+1n/eQwG86mM3QLRmdyKIZv2XR5SHFsZanr9sst4YUoSRFHzo/pIvd4p5N33y3AbGlzGAaL0ETG4nLGA8MoloIx+lxRFDKayeP44voynUbTFHX9Vg9NLZR2knk5JtloeaisUsxjiU9oSc/UuyQ/HCr7AnkhTO4VLsR4t2LLT9ZGEXVRQGWtwWEw6PuBtVws2XEer/8uRM1BoJJIwTBdv3pzdnE1frhbz+A2N2splMQ/lN/l0LDZxH/i3WLeG52NLi52skfpJuf26r/806/fXF9Mbz+KddOw0e1ZumHTyTLvWsNdq2Flomp90kubquzOUTc5d2hqHKVtlac791DaxoafW+Yhp7yGlBkpVymHAYXjGlGi3qZDCfRxhLPqGEE5nl636qI+SOIi5R0wXoo2zXFGksWveRgnCIHT5bjb9ZYLLPRa/U6ny4Rfk806hMFiqGiiPAHu+4Oo25SsG2bYuVAcFXMY/QhHNTHnP/XKqWV/bJ4/B/WVc5wTFsQgSKZugatapwh+3bmgKG8SxgLuNYJWUMhXSCrWaZkLNwxkkrXuix7V0OTF1TkKULBZ6JOjY8s9KXu5aHPKm9S3HKQa7yod4qhoQsi2Ohaw3BsfxyMZMGw17en0yTCQAahDsXRGUep8uH/68vlGky5lqLIyMBQ3lw37Gt9s3csOChM8ORxEPMcdhBZu6FgCEWJpoVwlgqT012hRW/1B3ldJjS5JgO+TNslU8aLG1KE8lhCTRmjDeleUlY5SPJaPv8JbDgNxBoD6AaQEFyJDHKLDx3MT/rXftRDrMoOn8x77zhCjP3YuRVzQMA32CRxscJnRbB6l/y7tLKfl8ZrKGtzpvHz73r68Hj/coqYn7GX8oKLCP27jikEHBtRssppN+5gPvrjYsynEQ4ZsATB01MsTXlxe/KsvD+64QhgnLv6NyaE4NhdK8k21c7EE0G47FbCK8qmwEjF8afook5AgXpGrk+Vj6TM1eUuMGKApehIRl/a3oZNQx+pGiCGFmN2RC7flj4IEaVewauWZa8aI9VTcoDUcdwGbhUPDdrtTh806hMGiKoCuidhpk0krlj9ILqwrtzVgbInpBHzLO5P2+n73GCsH+e1jhHrS81A5RqVNIxGpSKHrWrRdK1E5PjrGGDYH18PZn6f4dC1My1oiLpSRkain7rjbhtXuID3asia6XjviGq/ZnN/fDnoF41PREs2imiNaK+W9gp0lS8stvtvFFmc9Gd+322/eYm8i1dqNcLlYfP74KRkyyf3B7RrI7EDGw6qfAbX/p9AYGEgfxJwebZFGRgl62a42zFZzOVnTaXi72FGQWq2X46dOF+djce/vyrQD5qmi9b6lpvg6XVNZF4RODnvUvULxV3hjhFwiFP0EBQj9F5my5AIqDWzYz3E9WShMejjdrWW1YFfQvjhD8rpcLbH/foD+O/Vi7eUKy/ZwkAK5n/X6/fd4eh7f33qrebp1UYDnn9J/F2+C6+l4CZt1fjE6O6vJZrnK06JmmCoYrAQrPTBPIDKgwrXpoiItveM7dt+Kx0tZD5WHq/6V+tXpaA1GPOSoi8/lUItj0O/QEezTcKlcmEjfMSQdd0XrowQomDfOyd0llpP1KCkEr6sJeKosyfYqohhiPlTASyhjAXPhjj2fr7EBv8VmQUh5Kjq8F/M4PHcIAyxZpXRZaKZbLxzTUn1MD3tN+7Gzuj3pzk+VRM89S7fVazKUQDP8rBo8lZkzFFlzt5ABqdo1E7bvp7/2Bz1DtHeLnrltz/3VtedZjUM0ThiB6nyBhSP3KOQhmLkd9C3hXeIRKGNFMVS8FNawMDAHPxfAVffZ/R27tMur8yQSHz5//tNfGHjII+gElri8AlaS+Ju86FkJGmOFlxYp4TkU/WNBFdVTVJYDZr28TJI0XNxCdIyBpeSAg+F5/3D3+tUbKSjVtHuMKXLpM4YTNZCmFpAtE91JOckIUo1yopIFDDwWNwq7Nm515ShZ2gEP0MzEHo4s/Q4Sz3WnVebq6Eg8ZOtZl8eiqK5courg7gn9d8xe70u60EOrVbzoAhxDo73vf1zgFej+hruESXsT5ePfChLixBCBVhisx4+r6XRwcTEc4Q6rYKynWwUz4YwytmyXL15yzJiOyr+rCUSmpvzSmE+8OyQirN0JSUHa1GiIsvhYuQxx7aVcGtUCU5ZIr1d6u5QvJ5tLPOS4RbeCSVjZ3lp7nVSww4XkgShRpInKFjTbrGzBld9YQ+pYTXdc6lgVuG7oBkO8TIU9exDVWRZr4O6udWXhVZEdLqcoNstZm0qa1WahYXhwBpphs/arMGUi7z0NLVbhXxxH0aHp9t/ahrhJFv4cownrhy7OkosznC50j8XgdIVqSBCNquwuuPG8E43bwziqbCHQaOE8kE1X9S03L/2wRHpsdjGJjhDYBV9qsKOdhQXQJ4rR4CE9CzkHK9JE2UcNMrZmAlcOthRTpfm8qrGnRumBtYbHuvv4qdcXfWHQub97/Ot//5VJnHfpR5mGGlzUymIaf+u+VgjEQc/0u2kvaRZBDnkvDVVONpyaShNj2wifkSEm+QLsbfHICQHNizI/UsSOWOHncFas1y+m2qPw4G3PuZnhQuf8csN37qyWIMQa62ARwvUcx6LhTvSkCUUxhKlaq2aJiKO8KU6BiNF4st4b5p3aeMjFGnXVpjVGP1sQVAvjKcopgCH0JcMhX8F006QywgiFGG9brgLH7oppt1Rc5SsldHb5ARwMh3i3nM+m0/tbbqim4dH/cmioTMCjE7Z4uFtMxsOLS9isdLLM+9WLV8PR+Qs/EAH2rkfv2GmKgtbYlbc0nvapmmA2+dIJZafoOkwOGQ3OTepD3mRwF/f1NjTmUHsx3g6LvrZ2Rdsp4JySo6x2yQhNTGTtZepMlxP2sZvmm7iY2xwySwwKdm7DaTfaXs9rXYTu3DOWmzS6K+vUers2+33Rd902gwhrblN73bJ6A4T0kBNcCor8zF08QNybwYJNO8zi1n7ox6nNXtC9dJFUoaPQMUy0ataPyrxnPQqOwRz7mxeeHQtxr/zCHOQetRhsQuPpsiDlJtHeb5Vrbi1o6JcgxDJ6RqPocgLbHiYAlmM1J2WqJPAhU6VSzSs1E1NtLOUF6XK4xO2hNmCiU1V7WaCYwuUnV0RhAIPu019/+uF3v324f/zbf/8Ey4LOFv9wjiY3CuuvToXQjwjUjaZ0JuSyT0wn8e9OyJJQLtqbA/z/OOcdcSfXHY36ozPxtBhzKTgFosdgs8zzq9Vi1r9srpeONeq6X+brnsXBU0U5zIxczNFMFTpAsNJAheHAeGzZ9e8KaDWjhJWRTpHqnXSZ3VE+AsAJthtC4w6fLr7Mbzyqj/Yg1B1llEdT011ELmhoalWJG4NBz/c7i/nSCP1uZ3vFKymIBRilq5LITTBk2n18AAAgAElEQVSYjM7Oh6Oz6fhp9niH+DOJo+gtTzu+N7+P2Cw4syRZ5oXLg5mQsk+t2w7FUlBZmkPCI4LanVUnxMkDV43xSf8c00Pc1yBTXEdJIEM7uv61G+k4RdpAQ7WDZ3JgRDDOV+sXz2St89C+bfTNzZ0hWCuv45ln2LBA6Om3B43lF67eDja68zFs6VA1nE7cszF8/Ut/dTtGJwzs1RRXO5Yl3p9YsxI2q2q+2wb1lb7QoOpcuEZLFBWZA/xlUwymY94zZIRzvWVjTe4rIRQX86z9FBdS/BtNu/zEE56oxGrBa5zja8zKcVl7/YKzt/S7w7a/8JJjowSCETbbPTQHHRnkHNig3ie1jGzecmOclNhfICTJUvtFZhO2FIdkVcxc2XxUiYDg2fS9v//pz+uVfTnoUuW9kNftcDyxqak0NF40nXuUpWQ51DDn4QpniQO3n2/Q6qJlvpIGlVmL88Eh4uRGY3B23h9GHuUI1+LttbLjAKsEW9R9hfb/rGd1Jzez+cMjtgAyXhQpFCVWmCpkVQgyWeogbVhoi/OhLkzpfq1X2TUSGdU66hK+KF+qpPmrndlPmwCdd+2v8C7AfTeoRAzNaUspg5bt7u2mUfwGSbZy078ondNRXDNs4/i8RGiR5GH0Vdj5TJLpF/oEI1ij84vJ4+P86W7baJZmsyIT8Dg0nN3dLiYTrDns5dAwUyKf0Bt/NZuVjz0qRLfndgPmAYpA3nNhWNmF5WNPFaI7khbO9qgqQDwQejLT7vsk2utGU1xq5rOzr/VUCzOh1+d6gWM3HPOlv3p0+/4oHrQNFw3QK99oeSscoS7N/vem/eANG0PxnVH4qNpKrYnNkHJh+kMDmT+sDm0Lz4dbn3a3N2CkUDh/92OwTi/IQTl/6HfOvCZ3atRO0l2Y6ztMejLfHFrdZ8gXTcjPALkCJN1Dg1O0NHsH73c252NR+m1yKaGvCth1o07SCd4iGL4dPn56zAxCPLY+rhf9Fy3bsSlIrOFgBh0PG+qx17bcKEL7d7uyNVHXl1v032RhrZmXEpV2zhG1930LRZqv/yhKpcHcge2vgoth31kH4TyqCNelG70gmMC/FGOmKl40C4fNYNlgf214RvBoXBpnLe7ocgcfY3zqoVjIlb/IyZmtMbUqxiuxrT93+sMuwju/GcBb3X2+Pbu+kFUtDBfzBQy0SKpQX5A73njmNtuWNlBweopWDRPN1VRTtUjcv5E4p7hNnjUUHmuKT2jb+KR4YDkp/IqPdLfWDaRQmExpj6hpKrBADHl+fra27eV6hVfNMv131chNaCAPSsot2fcw112+eHF2eTF+uF9OnrbZrI0JeC4nhq44NJx1u2eX1/XZuAiZmL6gPUI0m5XH81lDaAR2FDiftKxnZK3SVVBdKxLbDLeB82/PXqRTJu8lvSTxUEsiwUJCX5gS7kqPNAyVUSydrmksgZ9/gQYd02ldB6uxa637iV6Xiw7DtSdb7vv20Oy7Fvs37keJdkgeSDpE1VqKJlC/p2NP+E4JGJBjw+bZTG3cMuRa155KZ8yhR54PgkRr5HVGvtEWyqY1vXlrVYOjUn0TT4gnbJXaoJ61bzQWTC760WUx+LUpM5rdceyOGSSklLzURv/AhBR0fKP7K380Gtw1H7JImMirQhZpd2lTce4tMRw5Xk8qjjoCC3A2V81vjbca0LvGYE2IXykZvb8XtaenGPLqeneH5nTtrb64w191Z39cdwzF7cnBYGhtm+nK1aqgzznH7Ts9rQnR9tuaDYCl0kXzNz2TsADbdnTK07S7gbUKzaCBbTJGvG8/Pt43sdnRCxazFWrT/RaaoR0l5wMRIBWxdzkUawZo9HRiadVyYt63zWsiUCcZPNZs1XwX9h6SY9s62Y5MkzRNsuJFhFMPLmsJVqfEYzT673ah/jtjmZUbDckMRNu1p+bnvvNi0C0942PnL0azsOZwr41myWKhH1nAPFv4+ZYw/FzoGn/5hAoM0iwuJ8apdvwqLkOW25jBijeuO/LtH61n6twcirNJziB6EP7XnpsSrSzqEqGF2oVjFylwSHVzqMdtgPkrHUczovwQB2/9ioecRgMrLaIkYNnBAg+upBXpzla6+INwp+OYl/7yweu5A/ZqOoaiwjPHD31zanX1tQlTzEMaLIm6hWMIZb+6RJleSFFSelneKJycpWWpXpQtClM3OiFopjr2YuXgk2EH0KOjOczCtidiKnxCSG+xt54pjsrZb6/GDF7HcOrR+H5VAJqdSuY6RjvHtyXVpG/5V0CXpZ1eVpV9MhxGitmSuduPCQ32advoo86LCJWr6nZoU3F4d/TB7bVcZkGVRxvt1AMjC7D2NwD3qe4GLnOvHNicpv4bsCd7S4hGpovtZlVlhG6TS9Phohk6gXGBR3qpDRTUsczGoiB9ghgVV9K7zZKWRGVe8HFECDTMBiAdBYPlOFjnD1Gtu799RD558dZqohWzaoQ9r9FyzGW787IZzIxeO6crIweRSu8+DXGf91TDbLXMTjJQk6NsQPcp7TRpsckwR44VmvCep4FYAiVpHCqbJgLO5iv5z2JwQGPtDHrdxWLVsB1OdBNugdamAC5Vad2y7fyh2Q3dlVN2b9jzPS4vcUGc7C/fvnOuYLNu7QWSvg3KHMd4sQl4yJWzmafPq/aeDg2Zb6UdYjZrG8mTfmniU+hTHMrsYrtSaT5IWNIVO2n0REiBA5DoPqk7Nreg+f3Jntlao8MM0B2MgCXtyRkLQOXWBm5xzPY5/u25Z9d2fc+wGmEfW82+ue5J0emKK0Bk09zV6s4fBEPAavj8dU23PWzYnw0rsQQhB3Cofu43XigCaIWlJ2Xt9SL8nVolhLMR2NHD0tbr4nTP34PB0v0RQyj9bZq4oIGjCsRNMv8FmqNSmumlmXZHwGDZysDJ7qS/4BS0oWaqNI5CiZi5TQZYCebkysbkArIJTvYN1VBYinb2h4wm+2q2bHJKbQus5EEByxq1PJfr6v5sMr28uiKKynINTe6sqfGfJN7rJWlSxny+8WqC2n+lT1duUwgmKgIDU6toChQn2CSN38A/X/2EDKQzkhrGWTK/2KuEdaW81Y178evh43jWwRKAKAiYsLGZxJlPGbe02i6ypIDFYokXFCWlAKENXiwe0wl6MveQt3PvWee2WI9Zhq2uiRtjubJC52YbQ74pWqq5J7klLSMQdqGdqWz6kzWiJnOZznWSd1vaXOxjnZ7HiluHhilrHBVO+/Nvz6ZXHDbyaQytoJiFfQ7sv+sGkdUW+9eOmzsllIIC7qOWPLa3Nl+t55/cs945syW6O6/e/2q9WsFmuUtsk26ysSHlHwIYdAvoOO3QsNsfnl1dpUWqmwzbb0wOBGg2azvmub44EzQaCK4ipVLdHfRPWb88Fx4KrhQqrWlyplVcUKqp8wlwmKUDuceQdvgIVAcTuhc+bLSzkisKi/G6/6LjzLxwYnbhkGRqkbyq4vxGcBzTRXa11txVqptJ3BwF3jroBr3kCJ0DQ7lbY9gl9n/y+G5CNqVL4XsTPJnK+KpNGeqNWW4PBguSLTwfVG6StYxKoOLURWRUN0ozPVPgEZ+MND0ejoDxDbJCQxmOiloUNuMu5IqJvTh0F6y94mW9O4QItwqZPU2xyODjaiZlBh2LSV2rvZq71sj8/POH2XyJLGTJdfDl6uWrl3vc6d8qKvrQOOuxVBS/O0zlpYGPrbyJs1Kr6X+h7luSnp0YxCujJASJveqCYZhQ7RKbKwRFg2Z/0UAyyEld27Cbu05dhb3jvGpHxd3lQlSoPP/9d++2hFhhOLPnXz5/URVEdGksH2z2r+yVNblq3sroNt3Ab4fSJgj/GxiFXaFxISp3dZacrcbZRaD1h8k35bGYucPT8Fhx60gX7qSbqHVIS7YDF3sOftB/R/CM+VB035W75dD1/MfHMQpSgz4mGaO1BtJSK1QpdXXMrh84C+PBdqYvO79i/qQS4hJ+ZHb71/5s5dn4GFLEpf6gSaGsOcBmiaed5WQMWb55/36TouRNq159HQUsYQU9h2ZBzzCDTkTwElraJpksJ/tkrBltb/VUCDDVxtl4dKtgoHWoNkmTpPAaHvrp9spx71uW2WNEo5yOvpS7NnGwmSTjRRNmQnKc97n3jX4wyBybenDtw+b6TlbSJHsTLwjgruTiSeBeL1K60PseBF+Tr1L9GDXeHgxWgj23EnEP1BqimS5NzGGEcFRfutj5TNL8//kFOkivN/rw69gGkQWPW+vRk7zEAc/4e+Sgdw2/6WLsyjEHIYLiluxg4ukRhbyG8M1tq+s2XHc2xZEmMj2rGXLcQJV2Lg2V1VbEKat1ZaqqSMVn7Fq8qwCouMAOrOvONFjVYrCSxlF5D28BRAQKc2ar1dPaOre8la04myZuOHY+is/YMfWgPxJ6zuzx8bPRhMfSiFPm50+fP/6sLdfLnNjF9L1j9K5683CJuX75j0kNw4CvrF6nP//rTC5ydBrt1+bqLx5KKeBGrSVNruX1BKeRz8eWVWrf/q9T97KyjgxXcizOCg+SY8WUE9H9IahIoxa2fE1gnQ7ijPP1WvTfuckwGlmBvZg5KMTbeHzGnhYToyyfgZhSK4OJLuZ64VuDznrmQi08CwxnNx8cc3VpvR1dvVnMZtOHWwxjpntWs1m2G+If6/Wo1u6MmRng+m8ZMicIV8rsOB3qd0tXW9XuR7X8YXhSLvwuR5Yl2Uvn/v+Pvff8kt3IFTyZPrPcrWskdbfavXdm1szu7Of9/z/u9z3vzOx0v9dG0tU1ZdPT7Q8I+qQJMplZpe6hrirJMAACgUCAiCDCjQO4U5FOT6rzEuW8YfXWHT3y7sz3DdpFU1mKHVacgSFtV9N+EhKmUzRE4QomBN8LhzuJBZNcnDS/W3njq1FYtXksKVpzk+CunWvMwIJKeeesZEk5msouzxYfToPJdTC79ghbjxQE+4G3HK1/nOGmyxY73f0xY/50VCWQmUW4Yv0mPmf2UZm+S8ocfZPv2DMxXqgGVR53i6awOjb/7eT+T5vL/XRwHfKmKfAyrBng6ZUPQdjtbk6Pl2+/GYxsfLZBA6ulroax4SNE0wukgIF7/pqlRhtQFWU6Nz2FF+6dMV8oFKPxpwUg2DwIsixz4vS0qPUdXw8Ee+W24yzvnkdvx7xCy1ecbK5Vz5YdpIbOh3KW/p4+fUJEvv/d92wg/PP/+I+7r3dYSTgTWCwas6mVyHme9+7Du9VHfGi6Oghu31mtlt//79/f//lhxgZ4T9T0cpAqethg+rFoVPXQIc1NT7A3F+2tRCQDbW2sVHgyktOCqAhtWuP4tuPS4J+BA9wR7+Cb5eOOz4LFzCIerVBa24/BlnesYCjhiQfP28fnwefdc/B+9pub+Q0Ar25uLq+vnx8fnr8SmzQywkwDcKFxU3NCDrmGY9CA9uAR7WHqnuJvwG4H353zlV3G+1KF6HjOV0GuSFdFQMzO+s4oq8zngUZwOMo7u8PdG2L0OO6Po4s4gr80ah6622DcdJ5g0i9ZhAjKYIH8BONQ1haTC4bunvdXHxbrn3krt3hlTGoe3og4plKR5Ef0ZFVyhoCkWP1NuYGlFpXPznTZb6oWlbOdP/8F5V9evh7H8bmvbYc7rOdVzHQArWOg8hqk3XR8W8sh0A0yCuIONr/xU3mV8tQudcoh1aYKb6CXIAvbJ+JF8mmDuJQ9JtL8YA73siuI88dC0boypxqwZgN1gaVSQlUzEzayKJIJbF3MkvG2dy8viaEu+6bB5S+kMJbuMYNP0ElLameDiBGVnOXti0UMf+RPfzV7/nE1kw/6koYKOwRL2UU65apyy2qkafgIgr3DRzsk+ZzK4hOtwRkPRu4jY9iKJYpdjFQg8JdNcRxqz3efYqXlL6YPomz/3XOXz88eW9oXeqhKhh+8fDw/P8gu10DO0aHNCEIgsc9QvmxhZUsOh9viz9QvDUXM5T/hkpbNi0wed9NThoqmovl8abdt1+drHv3UaGMl0lMjPFZUVHBH+kXWao+yPBIioQQJYbvpbvm83+1GRDf7FpWQSpExdHLTpDcOppSZrjkQYPDJfRp+f/tHvGNJowB+Q0j3mzdP9/cEzeLwJrJESpHywdAmaoM4VfTixUMk7hghS8jK3DBgdDO7M8k5rio4HleEIhE7UTky7k5zRT0DBk5oCvetT8iBx0x3hrbp5ZQlvLF+YMzO2eDC83fhNJglOgY+jy7YNeQc6o1C60yTIS7bdsJMy/b2uxCdUihPGJrxVN7M5UTPo68EuxGGY0eWiJP0tRpMfMyFb+6NP76MNmcQhsp9Hi3/ikaMCMdODcPo0+uj29IawIvvcKfXoSESzGgkoxaOUkCtuKAbF7I1+tcIWejZe+uRbiZF1VUMXVMtDJdfdxO+GsHruQ7MolUWOEvpo6vhfu2xBZ4ZF6OVeny/h8HKy6iwGJXJpXvezT0dIX2B/IrTMNW5TNQP90+bzfT29poahATnv+12ezE9avjRKlqTpdn+XvZdzN3RbhRsRzRw8X76/LAZsFKX8MceVnVJbCmYji2bFJHmo3k8nEiShjdr/7Sf6ldbk+1k0hTSUBQvrRauo4GnDmF/Zf4hnh/fH3B2zZZVv2QsGKR0xfb5EW0yzk0nMUXhYLvdOETh2MiqMNxkQhxNh89fnlm7DL6wt0DD/XN89E4Mc/MfOEXsreUvRpb+NsxmacHSO6MizzfQskTENtbgi3oZJCvmOGTRNdnCp7in80HYIyKMBj6bw61K/KwZU/Ha38348HAq3wxePW/vvbfzb0D38fEHoj+MQw24EAyfnS/uKvj1mz9kraukvdhkt+/fX9/ePn79snq8I4ADEsMRhHx+mJSpusEYIAuMXFomEZYeeOu7HqvgRGGIO62KitJ0oahf5qcNVHGOm8zbzthtf0KOCb4ATOh880fOLnrz+d++8vLmz73Z2+Hqs3sVh1egDAYQJ/ett4E/XY7dyTQ8+HA4z4Oo8bGQo4nY3j7cliwdOq68A4Qop8rvJfKg65+0q6Tv5e2ivmiL3PHVHza85XPik/s43n5ZiPI7uDpJyQGUIxIYSEyuRwBoXZUmg5TLtJ2/MtWfl4Y6oiNjpq5Ir3nl04xhTiQy/KiqykoQBWbz4Wq5m3MC654TWGUxD54mtPEhofOMn0VCX7rbcH59PZ0vxlNmWu1xXCa6MdwgSmqV3khvjYaYZR9/+vz+/S0xAhirOLSm1WtzpXAKiaqMyptfKHn4iAk4eT9c/cWdbsfTxWj5ZTm/nfg/tvBpg522Kw2H4CUFbg8+hJsn92KfBgGCqfLmp2qOuu7EW3/hBNnmLfZ0IHvmxu+d0fqGE99Y6bm6vuJgnKenJQs88JbIZAQuIzDsyOdT89SkKycuTsVI8Hjn5UwYTpab6fZ5LxxNB4+fHy++W6w+SYh/b+sPOHJiI/N6XA+B6j7Np1AScG1vdKIrVYltITWVLyFWbazBB2f0Fb5Rv0YImqCX55fgzBVU2TvWj5WDqFbieDFwt56/3tyHsv9dDjr0COUzCvchq4HBxdrfctIS9ULcV2yOfjP+FjusACf7iIp49+13N2/fPd7fffjd9cVldLRAtszhfbwB63BaMXzJqrHD2pUp2G04rnQze5vVnoO+0N5WLa9KtRJfY4YZTSpAUjbTLHl94m22/Qk5aQD30fD5r+uLm9nNv149/Wkpb7sBMe9yeiZAU2zC+Tu+FneD8tMOD9oQibpogglu7btyO5Xvslcf9zKDHHOpuimML2E56bWK1xLnePmXRUXgpRQCEtxYJi39i72TCTrznRfmlPnczyS+tHWVE6Pcw8kZbuZ4g0bGPNjNgLXR+eiazZwTMb3hZECMFBxSw8zJBgDjtccf+JOL2a/+07/wRXenTyyFNgOWUXH35eHNmyvf85fLJTYAx9Mex6Fs85shQYApJCzSnQoB/rhtMLkZr77svvlfbj//sJ238WkLnOoLZATAH0zdcCd0moLEZ5isZXOEPLKl+DG4nVwkueXABsPLd2/niwt/uF+NP01GCz4KYy/LfL5g0zGmldlVgx7YYWjtJmxb3u42RN7gHcRgKQcbp/KqKcs3fsiWO35HeC4vh/t7l7UEF4c5mxJ2ROsQK6JAp0mxkbQYVa+/Qk/PRkYjfYYD9Lucb+AE74IBNlZjrVMUiA1cYNeLoS1y6U221CyDi/HI361lyZDgO2v3u/90+/jvj+vJHbttcPx4A85O8scXTridvHlzawMdo+z9t9/ZlDRl4k8Iq7wf0VBq1XBv744G/mJWcbK9PXFRSfHkIgxdhF9lSAyFOvuMdfmKVamk9WU0p+uDM1YIF3/9f3/6/X/97vpfLparp8L7M5T7Y5+Tr9b3+8l6Ph83uK/y2KTd2g6oKRE/9J7zWDgGOg+g5snwhwJVzDXpERtLsNfAjrOklpWVDZYqMmJYJ/w9HXZjUSkPhc+JRVVoDAVO/qVJAeXhI3Nnt14+BNU2BdS4Yng3oSIiL/+1ubzB1dvZ+q/e5XzGmXhsRspGajCARuHoavzBTOFtQOfKmn4kiZv/8f/9OwF4WHy44fCCYd3rbw5EtwdBHCkkOJMdKQgYR0aiAzjlaDYjAgXRdTm7eMhRWy2upjne34bTi7H/mAsDseDEQb2g7WrS/E4/mk7evpc4ZHtvuB2OXH/HV18mNPZUT0pjQqKhLL7I+svVJY/4CPmey1svm46kw/jlRTnERzXl7GbOOCF2kR4rt5P1IVcO8IFvrB9PVLwM3cf9rZ0g2oFWI+OkNpYQm0ivsID/40skZeC8D4c921jWDFJioK6fKcDnW3zO8NgM8Vkz79Lt7nrpSZjSzZNz5++9MTvUfxXe/fzE+bPI2JvRLYMoZkYPv/E7CFsUzSeEjZar4VTaI6VEsBmU7fa6md1qSi0FUppo+K8vtQ00UN1IkYhPVoZK4ZI4HPvbihNyqqpw8orEKBRK+B/NAD+vhlcPn5e3H66vxlcPD4/Z3XX76W566zx93ly7b7J74avBF3NMO/oSP8MgpT4zxoo4M88JesNRaloPHAOlWXZNn2VwnvuWDTd9+c9oC9CYIfCU8Jehi7+EeYKLmyor6sU5oBxP9mIcwX874ZD28r+oIv2HKMqYEsXfATe7rBZXM7QlqrXqYAjgzi6ajYB67EqytJAzhoO9+2Y+/u728mLRg3UlbU8UsxKhuFjqxFWke4YooVcJi/hQhPUOT2zUkGWQJ+/y3UVbbyiwCwRkWYHvhyP8sFyziW3vR/EOYiL1sCeTAHnz+TyWAAdPVgEgn9uT+OHbbyZXN0bhFgokLOJGBMgP9898F8bKO8EiWC3kNDnWbvneNj4AitUKteELcHik+QA5TK9KaVG0CkQ+3dhY+bQ+noRHuglBzZdIhA7eX1grXA5CbKw+UHaDYQTwWL6KCrkkbgNfo6eejMl4NBsO7j4RgzL0n8Y3w28eftjIQWrh8Le/++1idqxaOGiwtIL2mL2dVTq/rBYVSzgAKG+/5zMWHFeRN/egcpxQUl2yKpLjWvyK7q0eAkqYqusqEcqASm8HGFhuxQ73AyFMqmFgmXvo4bQk7mccvbVhp5Q05Jtvv93top3cbuiN3znuzruANZmloQSU/U0kf22UQB64jDQu6XiRwpYTmallIOThNj1ZDNoXXx880sDKWlS0hRFljCr+2ttt0isvex3KVvOwtKdYhS8SIH1VNSIlw+zYhotdxedrE/w4ww/TN7PS/ad8lanrWTIGKi6WmFbe/fPyuSJfks3LLocbAoeI0jXQaoAcZsGM6TezNZvIZDoUo0rZg10hhxY3sIgja2bs7eW7ORbGnO399t137zi49BBLbUrdRgPoQn1xmnIthLpM2sC+N1MCHo5ZcQwILyN2tjHsCNd+OA1gJn769Pnp4T4zr8ByYRE/CYu44d2F1aCxi+km/IMZsi9fwyF5e2K9iOkgei/W3Ye0AqSv3jwEbpPSn40VsUjaLzyyenXp2caqHGQ1nIBUSO5SMwHq8ZZ14QeP+K7yq/bs/NsRPVR8p8vnJSvGHIMzv8L3PHAnx4Q5SjAXb4xdJexvrdjhQMoENrOza38xEW1TxNH3s5JKDyTYzdjkUVVQoyLK0yMvRdiY7XcVJxuwmFiTgR9sBtvd6v7rPSP/23/9oB9mcuipT5TDKcfxHfUld0y3dpa0P+VAnFX9G5fXyq37Og/XECCDIOmCfIGyp+a3IsBp15bVPksaGr/VGz9WlPFRGTdVwaJ62bZ0ZhiDqVC3+FzIbn7U8YmsqLgIW1SAGsyFZrDFEiI/bjiaDxl1DL9itnlmntGgfzxViS+6YHC1W+1qDSwFz8ivcIWUI69OFeboNVzcLIaXnFGaGFXVlfI5fHpLPGNYyyohm0C9lT+ZjPxRa7NVK5RzD8uKAcLXOnnMbZ5YnVMDi7F2fX0zHS18MYpiKxC/L/uw8pYxPl8Ciq5XK7E340vMJGWRiFP2ugin06EEHsRQhEwJeDoQI3MR4s8YYXNRk9VUV9Kz9XL3ArI6Ny7aXCIu2faXRtHQtrWi8hGL4BY8ykqRLcCebawuzYABcKB5yiiFLRJxE2yfvblT9IayZDyeczbl4HI+JWKSs2Cu3qER+Dzs4na2rYojUIrGLtFMKK2mlTxgXplCdiNOhpzEmH5dni9ziifhonmBEUUtTzIqOly87YV+GnYuB6FaJNGrfKZkCs8WqRuSAc032+wF/cuf//7Nb94PrkUjja75bimQKBX9RSAXETTDsJpIIU+HG39N+Vzrjnsw06TqgXoKIjQdR8txRPZc21hUTADmgqfZhT8ee8b3CwUnc4OaU9zIvY5PmGMxSpWFVvJUyht/7S+u2F9T1xH1uYDlCwRcNQHHhlYHBmT9iZIs9muz6tCV0qmJMjQxgFwJTQCT5OJn97y5vOXtu9SIqeMMUUY5XxmXFQbWeI4R4ayennPBJapJyeWIWkimaN0AACAASURBVMklJA90Jwd+YaAkKW1vWLgj8Bjj6Or6RiwpTmbm2x83twGWEJEJ2NVy9fGnnxhlpMgxwfGVFMjeiIuGMKu6PEwLsKKiSKe6eLp/iraOiYG1r7NgkNQqDmTRnfLejIOKbjhErFo+mg4jFhmX52FRq5RXYGOJdaizixXB2ULeyHdmvvOMf7no7PHnDCx/zBmVXHO+NmVpIfj649NkNH1+Xj5u7rJwjrqPu87okBpNUo+FRRDH33Oa7+F20vqKJbkxSSVZuSQRJtHbwiNj49jWzIGJH+SEnF3VBqxKTUJ8UQOAEmZ90DwSg5CPV7i/vJn+x5/+8uGP73asD2I0y9YINkj0bGbAAlEGh+pA0uSK9LaO17jFff4KAWrFNQJtaLlZU2uEctICpjFZFLxnG1vK+KjIQtcn1xHvJVkkr+xePmXKyb2IUeNFGSNwUpjqWaOqsXK2AMsD2cd297ILezHaJx6Rw9p66PVhcjZF2uFNZ5dEVKraN4ARJlSi9mh11YaeLMzoXlkUvxfK2Jx/M/EXqN/UnNo+b6/eXOzbf9LM7itsCznveY+BNWKH6OqR75nFiVFCSW2SVijrBl7U2PbQMJTrQLPEiNvv8uqa8U65yWjOqW6b7TpbZ76YwSeYc3d3//nzZ0YZjjMeM5+EZoun97gtx+sxe7BIAoLzaXwxmAso3/F2/iyIwBJp1mENtlaqQVdfoIw7KSWHdwC8+O3VjtPSLC8IkJI1eMyIk0VSo+XVX1XV1zVwygnqwcZqjbNIifZCO2kTYb8KdriviDarl/S09vVu7E7fDvbLYDaaMOIGN8HmwVv4izfBzd//2w87d7V1iF+77EWr0zcGu/HOdjCwOMjL2205l4FYXYb+Incqn7vxXY0qIRuum5dhRSAMbRgLlYQILEYi28asxT6GxQEl5hZFwXuscmDghf7wlnc05/nn/W7p3f3wFI68YMZnLNJkYpONLHYixRjsf4UhQoD+i24kTS57KEeUFERmtNcAafjkAVMGw6Wm/qmz0PsMBsjgSgSawcY7zrn4eOomNsOXjrT8lEZ1FhBlRPKjohaJW7cB3kxdc4mQI8938ff8FcWT3QD0clXPDoPZ7HK9eVwRsb0UDEJCOhAIoIeyNq/KQDMcgAGxCImmVX4In+IC6bAk9Pnlm4v13WYkUdflctceR1BLSPqWl2wwwpoiNMGemM6jfeju1y7xk5FhgoK0A6YK5VB70AYJZA3bNBxrO5haesTpb5vt4yO7qRhlDHkPe/75+fFiQXAH2dmG+xDWYbn+9LeP241si5m+Ca+/Xfz8b0tMsUaMhDEerfh+UFgOgqi85+DMWOjSJKFQOVKkEEGnFCydVSUhMdzSelWJA868m7+dh1/j9dCqgnF6TED8LL9GnAQ/fSBvMTr4siV6vMfGAmH/3xW2IZFmIiewwqgZi6q4J/3hmklZZF5GnMoxBwMPbvzheDjYinr3Z5zQ4E82s8WYO3+wCJZPW3/nPPiPxAYhYhZRQ+IhbIGzokiCPV0EryiZS+Yl0N3rkYI6bJX+KlHMVax5KBNZ3sHmHybrux1n8wl7q1UODVECQFBdqAw7tMv7jTahLL88jeJu7MHi+0HBKhDYJ+fNrofu0r8dvHGWRP3cbDar8ZUMitGYgw6JtN4c97UcZX2qahLDQm1KOybUw7bMNWPdyKQR6ULFBgPreGku4LN8BC82Mn/5lAkLDwXPYChtgCXAX3SxzEAqa0cyY5EZj5neZQ057gyT7e3DB77wL1MnUYMkEIZpZlkLozSWrsKBxMgpLYO0oL85vJ1v/+dzDq4Kh8QXIGk6ZQvRdqPfim7XU41zaXRDVZu8tX/z7cWTs+SYPIOLmA8P//4zUe/4aCaPvaZRUpB5w/0YLjj2nVMXOWiGYKv7cbjAnuBwrpYGltFodHfcywklsp+pgZCkbMkNjGNBcLXaXFzgYJBwsEyfy83z1eoqKU1csR9/+EjQUZMiZ8P9wRnN+TDQqhWpXRVBZPkgxOIcErqddo0Dd+svRukqZIL38CYeDp3lMQUJLx9/fnz/23c/f/7ZHOXRKIRCrUxsqVmpSpYuaUtP9w7DxoLyd+Hwru3Gu+44U6aZO7WxMOqBWN9wxiWXM98u5F0jL7oc0Ml+9tE45Ag7sa/fBETEvRot5Cjot956vbt5t1g97IbP+83S2+/228UOMyu7OFUky+KZdxvI0Ct1UdfX44Ue84qIesxE2ZIAoW3S/ny7smWs76O3Ppo+fTvxBl7wxbhL6wBAANlCQysC+H5wX/71AD1VdemJr5IJypmeSMY9sXB2o/3Yn0jUjW/1LeU5IEQOXzZB0WjM7gU+caoGWoWsLl3EiUt6MFOsNRMydY+8TXoB1hT0QJ2Bdc71Qbgj78mx+EIxw4CLRcCaJaEj+fILqg5nkldso9xZBIvm1JyYnapNWVHugCNyGFXUZMBkPVgVpSSqO7bJaL70PN84qAGLQMuFSgYEK1YjLLnZ9R9/g6XFfymowZC3rtVwuH24m5ce55IWdQgqDeB1sGNzthnN44thsAyHl3JYcttrTHAfnVrkpZEBxzF8ftB+m3uEliaV9AVJmba2ohDmGf/odrubEpyU07bxY3FqayYIISPx48fPbGwnB3GD0ZxJ+PRp+/a3F7u/7jjZvhVGU5hlTT59ABRdFk4Cfx0e7s6pBZvjRNfWOxwiNL+csUOIhYxwHl5+c/P8l8fKc9Mi3S5qVGSPyfCFri1i39aP1ZlHFW0UyZGpPdcRpmzMJ5n4Yy6VoJ8GU8bofr2fDWeyE8vzpoSeHQ28C1dOLt3i+CWehwCjXOBtV08cIrDjrRsfNrtEKuhqSE42YNkoTqj3ias7KhwpmKKggFo40tI0tcWdtE5qUl0nZ4bf85fV++/ffv50j9fXBhKotSMEik15CdCwr4qqXgkhcV/RIUQ5UpJDb+pfv5+xoMRJaOzQQgvLwfYsMdGB7Asdc0Ka0GZDVUOZGAqNLeW0pGqZ8uwG6D1kG7yFjsjZ4wUkJzWwoAP4yVYqlgKhL9lHJbscMztgCoT9sz3CK9ltNp2z9AXb1KRAs8uv/LO5jpbwowE0UJl+RVhdEAlh8zkRxvFBY2PxniSnt7icwqKH8bGeNx4tLuaz+RTRyllXMUxs0+cNi8vxc8UvjqY9O73GbE2PikroJtQS2zab6laAlLG//xTMxO3v+M0kVIGhw8sUlqrmVqRBT3wN99sNYEGJEwu1SPrQGbNmZ4hgJH76+Jk1RPNILkGw+Lv8HFzezvwugcZEmjCwCO6PGuaeTyAHrpBjUDT+VSakpWyrpTXSuyErV09rwsqTxLcC3/zunVc4W0no4jIxz8Asl3SDLpOlgM5+hx9rNQjxY50dc4oQLkinxR1nGMVfYY9cqqbS4sU7en84D/211Avn3v4hmI2n2PbDq2B9515+mKwe9pzEotItS9Uc7ufvNsunp7v7h6enZ5RAEaLFswkx2jy/yJqgy1eNi+mQL0BqAUtTRUIqrwMJhWOYlsI3qVtQ4+6jz5ZHj3MaFy6us0qomQwBYrcry+z+DEu3kx6QmcEgIUbN43hKCElc8eH+wp28D9bLzfqjd7G5XOwvJuziuBptVns5hpljG3h3Kl9vyAKuvVeREkYJn+SqK60FqNH9dbMOulWeUmhUtHCzzoNlBa9NIUYIl7Zfqomd+8+0lcqeVbDI8MpUoc9YQdvvtpNxZz+FPfLykirYog7Ks49OFQ8WsGVoiFxy6cgSPpibDRM8fPCc2eVw6e2ux+nqlSlv+RdbDH4mQlhaC5T7Fd/FDN2NxxKjEMP0Ogwni/H+3idec1wrIjV+bPjl1GecPRguGDENRVtmy6iWf8rA6rrZVqsiiIoO9rvVnTu7vnam0/Vme3m5YH3VD8WiAurnT18xvApQxZXlDzf33tW3V7sfZIYsFGh+ZG9nvL1zvJpec6p0m8t0YrYVbWqnZaH8+evT9GriP/sjjK3H9fz9jC1ZpEedJHzltqTLjI0Ve2hSmBZ37dlVBtT4sazWCvtBWEaECJ3YCvSFdkcJo6rkEkcuhx2MOGCG/x6mOIzlC9M3/uYRt+J0t3Inz3OfU5UyLlL9cC/0NjizOKyJ8wYWRBNGS5RTlklNRDT2YNUZLrKA4u45nXo8sp0iVRialguTYaL6NENd7pbTZZ7unq9+dUFAutXfXWefKJxcscMH+C9yKz1Q2gtSQw6D9eOBlwdRIyOYU8kJObPZDPYEb9zBzF89uhfX490D6ykhhz2zyLt53l3e4gvANOU9lU3ctsRnaUk6y4hUNqvxXoVQpo96PjTCOaaA0kBnE7C54kJk4WFFpm2ysRJoqrZWhLbVVircWlhgtshOU85QfhrYOajwCr+LSaJ74FXyeQE0qAbRzTfJIEhucmBO98CIPSFKOWuCWEh8PWyWqERkUnTr1dp1d8+7u+vF+832fuciFe87NDWF2FSZXflsICAmhNkWhEOM75DHk8Eu8DgwptOcGqMM5WtHnbPjlJa/iAfMMXokqioLVtyW9lHCSVOjRPNSYsy66OOjO5uH11fSBbjv2IwVhPd3D8vn9HNuQCCaRAFiQpsPB7u77ff/5Xf/8bdnNru1bARxeMbhVxZ9hW4JhWXfNzEmaBEhqZ2r4rJ1v7vlfvrNmLPBWaO8+/Hu9te3X758sZwWDA38rUNwyrzu+7GOo0o4L31G02m7CF6XrpgH7gYfqHxaKFaUykD4OJjyuSHeTX+EQ0us8APZwMzibWu3WnIQB6cZsvudHfBKUnOrzLzGTFReVB1XeMrYSHCAtrxGkiqsgIjC2IR6pUxEJJGTWtCsUD/+/Pz+9+/Wu8fDtifoSm+0Ow5pSMvyrUrVCTnaj2nJ7J0XvxPSipmckDPwNn5w78yuJxIhdjgLbr0Bh8p/9mfuIuBQ0XFArOLZphjzLAuz9F5ZJVJVmmuf2MgHe1BdS9IG2RJSfjHZdzBu4A4VsQYMg/jbyqIqkMICohwF+qIXbTne0CxtAbwCOJfJBUuNP4/CBYmrHaGlCI9N7KJArXEiKrCClVBuOHyCenoj0zmnC09nk7X39Lj+Oh/euKP9zmU2bPBCWWMuL4hnm/XYfXz+DEtYk/kIp7ePZ6e8hnUqZ8NAu3Vxq4JCUxakUVNS1bDRBgjrfqGLK4tgFN7kRlY87r7ePT48C4TIqArZryrfEajQUsLfeC5HDBIzrAVTUjpTKm3oKy0TNbwF+gMwsooxZDmYc2nD4e5x7/2aVWScKpYeNSOJeXv3AEc+IeVAPr3jE34sOr/Oj9UbwqjHYDfNzs/Hhg9o/jav5ZuBs8aszVmzU2cqKyuAr3VLQQqhEkIsNKws9r9vd5cXFzhX6ocWahZCufg9ZDfTVeDtdTN75cx4WCuXAmgxNuVTGrge4dDEXLGmh2AdeuwPx9+e401TtShf8MGfUrSM4OoTcirhpwHc5RB5oWnhXdBN4YbNBH7w3g2IXvbzgHMJB9ilT4iHBsuRLZslfD5EYwSLwpblDyGUpQiwBHJZgZOnVYpRVfcUKKKY2AixlUCDjKFQKNbtEbAnMm7s6aGBPdJAixJtYniVuKksSEoHrEXhTJHe1GsGZt+3yI2AVPnhe79ED5LGV4EcXTzjzIXpkGWBwWTkeqc3sHi/HfPJcTxb+M70chTwHodnR9Rmd57yTeXF+oIX9GNYiPBkRyiwZAcISTq9kGun1ookAAeduXt42HphMPV++uGjMwmuhxwlhtMtnu5iwumroTN6un9wMLDK1xyK8Pt9VkLgQ/Q61wa4cfhpDThFcAAZ5NLXWNLr9bKVwShSK/LAP6u5pA2dtmWbbSxbSCXljFCR0SRXkq/dEY+aCFgsMQewxyEnZFXOQQfFSxKgbcph6hy088xr157jyTGz2LBaUlSTjOPKqJdcGZbAvP14yKHsR9Fj5nO1rtRLLeOwsvk5AvIPbA3cbbeyYBoPu3x+85OqAOk6vYnKI+Vid5WuTVWTSSOS9cECb6mEgbxbusF+dDlK/VUqM5F1xX2WhizpWszI1anGjkGtNID5VFiyjcrelwtTjWUDoVxHWAlZ7L+AexpbJRw21Bte8dcUZmDXuKmqAEKAQIiBxMWAeW5xiVH3/4vXhAVkNq0DOuv1hGPsiCJxPJzwbsyBDBOOKttztHGQmPXtqanTemgTsgPO9pNP3NBFGsHLHxBTYLfyh3i/PVnKPEYqTIvak12skciVsyO0lrxWHkNVAh0fFS+lxLAZXnqTxXC8ln1wSW7+JtxviCJfmFDzRXJPVXByhVo90EVlk3oZDB1F0r10sMx80cUsJquhGgoftwPn4kmDWk1skb1rMyT754BpRqWN1RGhES5pUSuh0u44SmfG3dLiFwHF3+jt2F0tl3xmeLFgh8khCDqaRDmGJ3OhlJ1AozAkbxGZXKvbZIBE4qVCBgtl+jgAYNEj7IFHDYr7qrh0cQCtLkG6LqZB6JB4oF75ohCWWBUktrebVjA65nGAhmxhPgGtiTljKisZEQruhRi9snBOd680gPbcklkigjQS+ym7Ppj1u5DLnNfG73I6pr1SyFl20a+wi6sXWhHPdGymd73AfkEgMtzQcV9+/vzumw/QwcdBvL3h9meBeLdz//DH35I4GnD2O2FX3Jvxhw+37D3t4jo3A/uwqagP4S1AJ9MJQbTmnFPqrr78ifUwdzjhgDR5k5RgbK5EFngMCI14CORMKXEbIFhoVs03CkcXTsl5zN1J4pxWAl5cDvefg6uLjKhlbg1wd8+qCoSc+8oSUjepJzMfBIqWLSWVDfusGPHtQRheB+vH/ezgvLzG5lG1ky+tEXCLAthYfJpWt1bYBEyFC9Yqp0S0StnVACVmhVF62Y5qqHhkttn/7m5WruiN/WIxw5tlXsMSKTCmldnnDjrRzu5+zGH00/KpsIGkBK4Ow2Jh4SL2TZeXMZFG3i0JTlG2lFlEVPscUaG2hQRo2FQFaKiEwruvmXjMHtnKcrUZKhUiDNxw1ZY9UaaiVRE/GwHlUmVMhFiTC0fOb1G9hh3ulv0MozBJE3bJmD1J+Pucqso91BBqW64GRJTV56CImSXjDF3C5OQ46/v75+cVFs56zQGvBKAU15GsTakWQyYvJ29n88Xlgq/cLpvJzZdI1oSSkU1zRP2Np2O83ryXzedRCCjl2JZVSj989+bby8ur+48fL+aEzKNjQz6Zce98091nG6Uxt3S6i7ESumn63Xj1w35hu1soz5H6p0BjMQw9mJIWPJAlvod0Ma/oq0L41bRO9u6gfjazzf0hIDOVIUkCJuaXSlfS4ZUIgIbLCnHwbrw9RxrdD+WE2vaXhS/tkPD2aGprrGlK1sayQhjzSyc/GZBHX7HJezSg9gCIBgr2/fo5NrMWhCbFyjGQzBIhsXR5JNDL0Omymd3wy0661GVi7LBIOK2axPkyohWxivpZfI+0BnzgLbGEgmo5gWo33ndKKMFUVkqglCfF7JIW6eA8txspR1ZMBIkRU3LZPT9EegQWMGcwh4HSsCO7TNMzTjtwr2GHew2lhl2mAEw7B7tiHVFD1YmzZHh01r/JyDSKSf7mLwmuxATHJtMwXMxFGskXD7fGC6X6r7/5Pl+j9RM9JTs0J/OxuKkW0/mUR4OoAGs6nn//4V9ZKBT0Mw4m3A3Yec80vBKbr1D4FI8JuwBeqggCOd/Pv/mXxfpvu4lfbhCYJU59s29Jo3b1eEJIqGrVC2EcwL3jiy/5gKuUyJZYjymuDiQjn2I6H8pXA3BicW3Y4fc4ulmUH8TUUF+zLWwsGzBHlUnXCgsBvfJQVcBkODPrnaLvgGlQnAJ4vinFJ+wZNbPczTMfGbL/fWs2ZhkpRVd7nMzgElaXoV8+cIoQeU6dVe3ZFZlWsh+qBHJZUjD1B2LWYN3UDcCyqpVprItiUJbSUIPD6BCAQrs5IacSQSFDu18rZlst4mByzi8YCYEGtchDF1WRgGm+GWPHmNayJmiWBXEdncNcaKINqvAYNJU6Xz70nMVNVdMixFQUopbQv8lTVaWacVNVpTYdJWOtIgCUuI2EapvhhLtK8ad0m28oSLSpbminp8Trpa4vfrmo6+5ZePQvrhb/+d2/siuzNAypqW7+8jXCm+vb9Xqzd73Lq8vnL+vL/Yhd9oN7wpmKUrbrgCzI5ntITQo1tpewEU9fV4vJQs6xz3xyjkJksZOFTTkjaDSWldb186zxTOYEsd4M+ShoGxAJDH0c5aSkpUUH/mDsjifyFRjZcck0P3tXVj+bb32fA6QsE8QIGJ86drbzONZjOFpsxVa0JqS8YLWNdSzkcnxlqamNVTxLJxaxaDzWd1kKGpnyJiyUs05vbZHImAWCumHaaI0U63F3NJXPDM3+dw56wjXO+uB6vfb3e16ykuMcGnolGZJGyI4hSQamwdbAdhxso2u2ohK7hndOviQ5BmumLr1XcUJOzeBN4ovKm6YeQZiBWHJrJEw6vFqFmZzuo7UEbZckIQMiZFJr6JEu0LXOmMUsY1clILDqCylJ1jlvTD+dE+MhLiyqZKckffCydieyoBSeShQOm98pRYyqlNDjBbdWDshkWwD/mYs7wR7rRL7cJto7W7Chh+1V11N7z0QEAqWMgcVf3xkRGWtyM3IDzhA0/WBmjk5MylVK6G03zvne7fLtLPjBYWWTpTo1qiYYVfPpDKkFqG5l2w1Hw+nlzXa9nFEh5kwOf9kDJYdfx4Nf+5yJU5YfpWGoXuoBgtVWRU3tLlkqWpGEcc+ozI4HeVJ92Q40Bqr5YCuy79vVPiwNGTAwT9phqXYp3sQbXw2DOwKAiwN17W/5CmEWVsaS2OrLebwfK+35rlSF028H23tvvLE3sIwaoI9kSHbF245Lh6V5z4JHRH7ythL0ALNlzmtS40DQAiJgQMyJ2CGGVilGPiPApTVhlLfwRkNOlh/u1/54kH6aV1rePpFYfp4bncdgXysxsGTfa7XzPmFppqMjAajCRckXFIyIKiVXyOC5z46OwBdHy8s3uKo3zpKOccmVyIo4kz3vNBuq2rUHkmK7Ja1YN0zTUme4y5CGnGZG2PG48STJlKneMONBFFaIfyrtpkMs+D5xPsnxQjMC3mWn4MOyxZSsVsDXBRpMjPnFBesNs/fDrcboKtZp+0wD4ipwq9u4DnfO7O3FZhoOF5ezqRxrnYHKhwIeBzOLAxzWDQfzy+vdZs2RyrQnxtzwi7uCEgZCZDI31AAXVUq5bYu0BkPaOvilSEoxKYQqMsrBI77D+/GFk9ltVl7QPhUSgZr19x7LAcILXX43v/+6mnKcOSeFf+P4G58oRDVwt+B3nHfO6M7hMzB74stLwv+Okqoa4Yjq5fS0SkVbUF4crRxnmuFFkXsqZMIqLXM8z0qIVMg13NiP3PFt+PRpf/vrxeZTOKu2aUqAVyfh2EYP4CQoKVLkQloEYmWHu17JAc9pNnfKMX6zXNUC1UAz9U2tGm5kyp7wNiUDJBnxOB5l0cBiDnsN7ivIwLg5vnk2EMBlZmu4zFVwU5FrA+TUZSDM2BktEFlJeAt4uaKxhQASoe1oVZQDnn1gZXbIWWATZyKxA7I55l76rHhJbNIrPn4TLw4fvbYQJOVZyjggEFdvt3cXVxd3Pz8SISL71TRo85PoIXWZlFgTkST0ZnK63U6G8+8u/jD4TxG1AjI2PLA/n55WsIuxLMfyUIRt6BcX7EbhAAvrLVlEcWwhdBAA3j5alvIj5RlNA36aU30XvRZXFyjLybwilGV3SDNkCOuP72pBH+7YPkjcKAnXFV7I8lH4xMdvKWW7+Q7pnOxmhkuKFSNcTtF85wzvaj2RKZTqOxV2qx4ohaHi0dlEKwXZJTFLRtqYWJupLusC1qpOik+FWQxW6uXEY++44w8h5zDOJnIczXA37mt9UE/IIQhODp0hO0NXsR1pgIbiBqxoaMLPEohFMA3PAkPh9QGsAVdNtsEOIT2SUTSw+oVe05j6LCJ686FtfZnOueKkyvg/sKheg4/Kojn6QpodDdwfL90WiLWImYNkHAjOeFidGj8rXMwrhGeVT/gqrkMuwBgdsBJbgfUByyYqa7P8lXqsD2JgYWYNhtPBJ+dqmluUaegBQ4SiF9ot6bArNmQLeubtNkEFuxg+MGA342uBkFDrRAZCwtmGQvgJb0gg/DWH5jYiwXXn/TxacAZOc9kIWMVCoXV9BZM0hKcsz+yhUEtNvRJzvLHVPRZQMlDW9oTXISfypO9yNPLAX7E2HOw+B28ypzciWtM3o+3TfsJxfoDJ4JS1QvxYYaWNtQ9dlh3rZ3LG3uaRNbYM3Dpi8xTEJWOG9DsOYujWv4aMXPGeh2YOdtUDZEg/ZdycnOs8+BBwcNN4PZ3+xtk9uothj+uDY2+7rCCmske8+J1WIthIZJxodEJ8zzwz7DjZUl1Fw0uSIcQ0spcWFg2sEoQvkUQLe9zhDjQxqeLZCMgFN9VLNLE9zuiNJ62ItqscGWmpY+4yL/ZgEolr47M5BnNcF9OKzekgZ0dRhR0c8QDq6Fm1J1yiLmCPYUWrIW31RqJTR8n8IauEeqLAxdWVu36aTZs+IYxUkDQAkk7XQaNJxn0RswtDcDIRE5DtqIQQgxYMRP6RIi8Sew6wZYvveLd6stn2LpNuCUtiZOW/tLiDYKZcK+VZIxVgDdi2QuQgpRhZyE5d5ZSePpW29OXVg0H7pTu+wp/KtmfC7E8H7CXSJkjbA3YZbb1dIEdnHjCres+7IytH7wNWG8cbcdUP5gM+BxkHObc9QsyuIB8J2jn22xhLuasMsRqPpdX7SEwkTaX0hAM03w35p7ghRqEKQ7iCSz5U9gZP0yGR50bBYMVLXXm1uHqb38GQ/f5tKkjZZAPWdMpapfinT8iw+IWKHjotmiYuGOxCBiW7NxjbOX/YM+++aOEm7OfITwZBZ2RiTx3tpnrxnk6aX8EQ1RFJoexNH1mfbQAAIABJREFU54GZwSRyJiL2ktd+s0EmlaiUFAgzthSB3TEa+E6DUzL4S0mxy4Pwm199Q/QbM9UgBck5D6UtiVkV/x4UmrJKuNtfXC6+Pj0UPqOBEhGSzKSmPEtJPQDWWwKbrgqw+CKYyySa8BPCjfhisRt/1Hwxh+b9m5vHzz9z9E+cWf1byZXyKsqQ7EJhXf1E1qjVXY8pIfT6/Pejp7/sFmE2JBfYz9EX5bzQVGVIDxMGypoDSeYfJsSI8/fhdDTL+veCSTC7HG8ftlUbybCx0PeHfizWGwnWv/rqsbIIqaPbwc3V5dN/X+E0ThrlTt3hdRAuHU6rcqw2Sdd1el8MScizuSlImtIngiGD90jJs0FfW0YIUPpEp30NOebaueFke29+rDWbYhWlRLy6jDZI86r7iuC7Zu8e1WdzOSU2rXXKu0hCQHEujKWtMe0VCWlJibgldDTB9ZyOxiJ5DRuwSlvbmAgjmEFUUKUswsp0e6RMwJAjITSS3abAge+kemy0AUvZiG0iz00NBueZxplpg+/99Ne/X797y4oV+9bVlsKicqVzZc1QT04mzDqf3PBVNgdMyGoHJ72vw/CtOe6ETizdvGXAxyyMf8sYJ6uEuz2eLGcsWiZiViJqTFxtN9KXYWmVBhm47LNVstYV6VA3m002m5J3VrIYG2IyTg4kKgtRoBSerR6lU6rnrYRtCFuTrEXobKhgpxFRaZ1J6MhhS3oZ2/eswhqjzv8ambFsbL5q/KQ6m08dWRamndwg7XGe/l6Gu5XHeeQ16+EbcT8f2Fiy5zsg3AZHAtI125/c+f82mXw78j9FR1F5jj+8DZ5/3r359cX+ycIiz5FV/hAzhNzTdk9G2FJEWcbFlKS55RS3Ts0isRhHaknMt+J/3I/dySx0vojjvDXaigo009+Xm8Zmx0dpvTi+KE7YAS+ZpWVOlAjBQFY1wm/vvdOCaqEEOqoVWgLL2FUQa/4z6WflWkJK/Y3OiFaONEpy0XgAwgiMKq564K1ygcxE3qrK6QqbZmbh5wdxNqfxXoBFYis/Rp4ba0mB8ws71tKXj/vhaLxdb8A/lPNABrxwx/Z0ca6BSG+3871gNBJjCAGpalicEf9WlBNVxyYw37+6vto+P1zMxEsEy2IGnnvZVLDTLnZHxVfBujLJs2m5gcXuxp9/+simtpbn7cXIrH5hKeyJGJuKrrVRlSBp6Ju4HELg7wK2yaUGlvaRrtD1qRNihJa/EfkIC0xIRMaysmh2LYqoCef28lc+JPB4o0gZw5Hkw0UYPmH/Dx2GSPVVYmNxDtSOyCOR43MyGN//afn+f72+364Hz6oaboL9yl1w3jrzvRUjU8KqCZHhI42T04z71ygx26z0Wtw1ENs/JTUcqMgahDPC0PvToO50v4q6lcnIT0CYipaXrg9Kb7LxABXYsnYPxc146TJwekCeAaF0GKE6FNfIrlJtcyhBqY5munol7qvZbFa1w51GikkVdzbm1PFuqgwji7cv37VFiuyey1WcSAIXfxCY2DqwA/iipYgsMMJX7fpX+f1PdXMn50Zvt5wvRg9yITCHlnfMpPi3to28wG2JoLOYPd+HC91GnC0uLM0+n/5eh0FEOVvaWdw/xMm+VBYK2buWzeJ8x48//IRLb5IuAWXzM/dWjMmUz9yqEyvVyOeRNm/rjwj29ZQ7BbzenZYh+eS3wgQxKZokJVbYUi7POLx0vquRX/OGDjH98UlyGDmh2hqbkbWxBPwscFd+djP1xJ3c/8fzuz9ef/nvq6E7GF6E/k+DBUvPA/EYN8K3L6DQZHj2BRZQBnsNwFKhlvJS16J37JuXlCxFmeQWb8LJZhpsGLuN47NYs+ZZnA++lzXKo8LVtMGSZGdFeYCGGnzxm1VdEes8eqdHIbFGWyxohApnng4CGQhmpMqjJhUr6HOqBEsnodI6p04sUMKjeUHnL1Yg7ZQlIr1Oal2dupmt4KsK0D2G2WrVwyMuJfqLS9WHvAOLyq6WhrhW3W8zzrra3fNi5ZlCOHyZSPJo8ma1ShbuCk4smhC3Iv5Nalbc8A5HDqI4ns7Z51VWyhZUWd3WabivjL3MoCi1rgzEQuRlrKuffvgJkwsZYDW9NVaLCipuaHIFHolb91m5FYkEMiBswWHEJxH40zS2iR8H5AshB4kGijJOc8XgEJoPxunQGFhIb/7LRCJpeq6eAQVsC2ZjY/GP/VjEsiSMZbhGrlOqoGH4PH78uP7wn2/chevuvFkwBSzxTflyoOlK4TSVNPnS0kqe2ICI+cavwNKrql4dccLw6t6pglieXoenvEYmla80cCgexZMMNHPLi9Z4cXl4JnsNoa4cfx5dhNmLb1/ml14Fcb886dISscBl7DFEZBTqbFo/5FID6+Wpj1sMJeZTc17NmT94xLVmLCpuDl0Rcb1/8N/DDiofHmjw5J+xp8qUdWdmGVHvXL3PipBSNV05jrtmG5YoTS4mkARvhmmZ2yS74gaPEcY9mRfXF9t9zidEooy6FsAqcLRJJnYFxQmkygBhqFf9YwAlYsOZOT+qdSV4iIqT4UkJ5jbNAQUaR/+ZSU5cHVyJGVsC3yKpDQkCji37GAq8rB/CbgvqEEL7lFKcwpWs0CrrdMAqxyRbSlRcxCF3NTdfZDBlB3NJqyugSPJmIDbWdBG4W28aROuDSXlkw//suBv3/fdvdw8+QWxlKU8mlNJGJfU63tBq+NCusmEcf80sp9yrh2CBQKDo3FkPqU2uBdYycIaSjpXLADpMphfXNxxtJcMy5XZekjI1k+8H1RGOtumTmAyeFrfaO9LxLer0WtQInUqcDDcbSqKVBRlRL7fZyNBtJjBDN1bUK1mv7LWDjgLGyI+nrINREXd1pH0P8o9CXKwM9BcT8QItqArEvZBoHsUk37sIlcz84lKRuT9Dd+a2tL5+J4EcchkEhHak4Hw+f2oRDagC9NHJxGhgGX27284czrdn+Eb2TQEw6Xi45AvLvfvxx4+EwooLsI8tvj38rclKCwtL9Ukmg4PXOMkyClFz02onvPPFy8JncYcolBIcwO2skEM4faQghNEMJ1yrMadKkBGJW1KlHekrA9HJB+FeLNySGtVJS8dz+DbwczjJbOZLivMV4cN/rP7z//2v9397Hux07QzwDfxrR0CCixtLUYlFTsqXdHMWYtd7XVN+FaKiTZQW99NW/Qjs8vqavRPebtMYCM8YWKBG49E/ak6ICu3K137qGQJgyjkpyUpdphlCglJCWiVbIgOLeYj5KFP55LdQBtKEdKYxQwBTwj+zm6qK73Smrv6qOQHXGHb8Y63K6LSsuHXXclXIi+k65ouJr+0ZA2K7XuvuAeEIW3QzrxDlPMKUYquCWFQ6dNQyk+VpI6VYJ0SWkqP9Fheet8Hrnm2ydNC5hj24+JrSYQq8f3r/4daQBzHc6GXsLW7FrpzPpqvl6qcfP2YHuAw8erH9BUytJByyslf0naBS/VQT0IU4RVNlcJ934iwjXzkOjUa6+KlufXkOQNmLSJ4rzrqoDO1liyIfD0ZWW3nVktTgIvD33sV++nbMWTolptNgMvj65es3v3//8N/vxYOFgPFqUdayEujtk2pGUCKrwrpOVyuqRbDN6OiCLoMqc9uJaioZYTnGnhDmCddi3qESOb10u1oNHb4dLb/0E23RJzdvbhYLE/ckoURglVc7V2pEStqm0yDODliD4YBfhqkUjLlbpCQysIrJp3kWd4I6E6CGq3QHFZ7Mqh3upyHqFwOVUG++vxiELi+wfBQioQGQ84IKOJCAX0zzOhGKFIkqLDAhBrVbr4LbNxJeQVYJ+SDUZKQ8MgaV7KmCk+xH4cs83fCnIyuGEv8imRz8jJmFpcI7wHXewIpLneMX8tzVUrofd9rT6s2bK4NVRxUt4cuPiAxaRBj3jz99xIOVpQyFkH3M3afsSYCQxD9htpVRlZmEZfqv7qAc3szDAQmZvJpbbVO2YbAo69dRG6tSFdYAbswCaTnNsSQJVcK/+OpsjmMIjZzpzdhf+qM4VBUeLAUfA7f49UN/eBWsP/mz8YJQ72/D4X3+LB2IZXv73Ze77//wG9fxOdWbFornLPdakcVUzoBsicZ7kMKwhE8x83KcawRyWKALZfQVcttadLugOiS4kFJgSyG34jGhJGFnWpCJmOVCd78LOXBJ5hFRhLyvS4O1HhuwMMLe3N4U9torLMqkfZQCTe8S1GlS/3cxKfJClY6rfvAYLoDBEnBMS4mgioGF0WMNql0DILTUTVUDhfK4EGoK/PNk0S+Ge/QOnGRS3+82fPyVzI5mMPzzMKSspbLgUjEMBu52b9xRcA/TycE0xazHR8X+TVWgIp/DIfuYuCkDnktjL4J4hNguOhkvV971RTagpZRUMoBTQU4O2LEPY+zF9QoFCSDiXRG5vhTiZrP567//ndVS5kfRFjFpjTvcU4aIUZWpWYqmNtFIrwKpLRdnNvaEzAa3vv8UzsL83tvIzRIB8sf+7b/efv23u+ko3WMUMyBG1scvO8GHM46LTvzxME8aIbiqm92WLSmloXP7/u1quxzF8dYjfJRo5F0MBfeVt/dmhBedDNZQehAfKyCw3NxZffQ23y0dDkDEY4YWyq6xx6D6/VW2qHeOO9sJrl8SYmiKHd52JMO6L2J8db9Kg4hVAzEqeUp4g6QDajpLlQZgxc7iZBxMrjDgKC08VxVKUUhQtkBwA5a6JvWRZ7jRvY/yNCjzpEkNTM7Xip8SWnLVxcBiFs8uH8QVOv4CDcvAVAZnqZuqI+h/gmpwj4uGwjqupF8iz59o0BeW6dfXCRmeyBARxWZea0LfZZsSH0wgj8TVlGU1QpJW+6jqmwZcDF7k+eLyYrcsO9Urev+uB9NbLuZesCXOPVEJOJGaD2zjRaMYA3FZ//ofWFcSHBLiRTsrq9CP8QCNi+qvMk9LdFQxBhoQTn0N5m/Hj8vtLHbURfjETojolxTPuby5+Dz5mlv+kj7qeYcN8RGGN4P9XTgZslYnFyNXfxv+UKzt3ABgZsLdM2HhNCpV0tyKybCKgmAfeKvwKj7N8NDGgrb9s0fIhv2WjzPhrMzAZnCVwTy2083cBmRpoLw2aIIVF8vIyaQdSZl0pYycPkjJUNXp1tBSavAJu4REKdLloj7vByOJg5O+jdQAUjxUKiWmpt5JsmJiurZemCfc68q8bKMEhsAzM5BD+N6jL8CZD8UNu5mBErPgaNj/+ABgGhaVMUnpHLjHms5hs8lKzNZcbqJhST1Sl+Tg1j3oIM4irit8hjymTLBERlVmOoW32+VqwjfGslWTo0XkQEMScYEQD5sJo5yl1RTTUXQQn+axR4MeAVR12XPk4FEjTOTyIcCT//Z9uhkL3Mvn1d/+8gPU5uiA6CAQJRqvLkUzmdolysBu+jlBUs4Qwyv+JuWqbsrr50uLz9IN+JadHd/Z8nJvNJuWH4bD1dOSMATOOlcfFvRoYyED/ta5/NV846zGahnkkDU92HMmgsRCju+4d7sZtlHSeFHqTZjy+TN/NhumDgwyCzbWGLW0XLgzn1VxdiU4C9nwac55zEM66ikZQQeyYRhz7PzdkisVbdE5U/IaBDiDLXNbAbRjsjLKQGc0JWgO+NcRfKtqgpQeVK40D+1WoNsXTohpQYkRP2q2qGNBmYFngEskRosqxSJYVElFwLF61QuRwOwFTpHcV/ZMMxMGGu7BQDsaeZc8vZu+mRTzVtdc7mQl5F06VjM6OirGyH6zZrvU9fUllPDSP/AD3fmN0DPJtpZ87Ji9I/vc+YgPZ3phgwIoRHrl9aXfAVvHRWRp5Lv3n78QseH6JtqM9fy0/Ntff2AlVEjiH0YVga+GzmQ0TIKvxtoZkqWI4GjNjzrCinkW3hpL/DA4cAfjxTDc5mxcFrDcn8MpsbD0gjOrx9VgIs0rQD66m4z4AVW4R3hPvngIxgRU7/K+Kqy3kxlpCDaOO8guekpbEbrYfan6odBcZYfFH7GxnOgsHRrjXDvjS2f5dTcLZLWItSNOTygD0xodXWPgqOyVgZQ002/C5KoS50s349qum05PlXhhkQXl3gszBxroTQTwnEqvisOGGHJr5UqGm5GqhmJVaOzSAc4LMBP9mI0ajVV41zdLV6Ykb8an2ClVE8O9kcLeC4jc9DdTGjeV0SywrqtJWtRlr0P99M77UoDJrKbjJ9M34pCo0MIe7sC4E7GL8mdvlmKpS0yW4fgSZ79dHRpYVD5/jyBUEyf49MOPk+kfcNQ9PT3//a8/sjKIzuM1aCwnKEK4mJQqPUKgMi+vmjWvrvHNeXUgzGzZDMOuRLh1Fm/m268eWimpIXzYT5LP60j3dxgFst8uanpSVN5SqrbupYWKdwJF3J/wjyFMa40HdBgMvb0/WgycVR0HitCSZzNFWU7eYDD9FqOCKCjq8LaQ4M/erOUNzrkJw7sP8jnH7id/7s9Zf3ZD/gsat+5lQZXcx92QGbslpZIkU0waGA/hJMvmJuaQTVmLMkpDNTEZbJlbC7itiogOpIMQQKopMa2qn6RwpptOAr8V0JQYqh2IjRFAyuR1nx2G9t1KR1W+ckEKNoEhiL9H2AR21GspMG63rY9MaoGgTVG055FGJMZrsgiFSXrMyikiIX1R08c1WW1abVlWh7ll2WOKSZNNs2VQ6P+twAnPVEHz9/hJiN7kpYQZm7Pln1dl27BaEddr4YkTfvzL367f3n76+InjDhYTJVa25cuymTGqVK100S29UGpkWPqw7Golv/42uP7+YuU8Tsp9KhEC2bArr9bqVswjVWJsNmMZ/gkT+dzKW/iT2zGCFLjBfuPOl7LKBo/3S3c0H4bLQ0suj7XiKeJMRW6aTEPwXOgOpTSRrtWoAtrMbHLHe2ysURhMHtz9ZngzuTAOwfF2zPktyQtGBnRzvwkH9YLC8r7PgDu8jZjTsmozWYeYLFKUGBuxsYDVokjSGjF/kyvmDAmZ1CT7vDcxMZD6Koih9QgeVJkb/nJvHs/JmJyBhUpmDCXoT+SmSuC/8hu4Yb1yFzWFHk2sUpJgYFsITTxJRlpc8FXIc0xMP79GIUtLZTzo//WAVetUMIJtbS7r1ww2GW/1cGxy6V/cj+zr8tKTJHL1oDcZ2LmM0z8MA3/59eulfmhqmmpmJfO+W4e/B8ZYgZCOENdRUQVbVc42YO+Mx5OQQyHze8yyRbgHLOukVf0OW8T3qc6AQsVYVoRU7KogJCbC0GMR8Mp/ftiO5JM61h7T7cDuxhvOxbk1GqT6swiz9tlWbMRePAAEV0F7mH5Q0DLBH4wuvMvbySCJ3UCvtXRfpVyXEXzcZcucGEtrcYor2vyq2DBzU7asXX3ihutKUTUDlbei2srEwqY1fZYxHf1S2q+0JcRgppfKx3hphb4TxzDFhFLk5jxuqr6bcEJ4RmLqEWStUspjVNnUqodZnVscvjzLKC8mVwN4pTlZdaw2VanyqiI+smlKsoFLuBfVPoLieEU0now83yc8OoEfWCZn3i3B+hJJhoORPGREkFuyMgkvQVyKU03dsokpLWJxxwZ2fxdOLsfOU11p8FTPTVIxniwNQSkLYZcmyd8Vh8pcBbPVLLwI1w+7i+2Cs7ULWIN9OLwUS62jeaXgbHpK9t7wrQaBRi/90WbCtxpSVTxYPXcxfiysS84rvMvHx8o3vKh3xCLQNGGgYWq+QucnG+Z0Bt62orRN3tYSsybmQ/zbFmC+vELhD1iseCjFeheAPEktnkxPUaFnCWhBgnAjIkCl8AWZM8aoOmbpqk2rG8q+IBdKKTOdVJolvvJ4Zj2rVSoGAiosO+xkIJYSedLEPlAaBqsikZeMI0FW8sHbuyzqGTuog4xRhSUh8x+3YwmaJSeOc+N6e/2wuchpacvxplwRaskz9CSptQysZI5UT2EkwNretAABnZCdpbZF5ZguIGwfd5dvL9cP6zob95lzkKcs4cX1Sn8BJgUgSanKyaE79qa3o829//Zf3j/v7gbLAfEwDqFgW1EXX1d2B9hhscYUgBSYU6gSjZJ5OH4/2P3Vm48kEpi3D50F7nactTniC3XbPq7U1VhtY6VcNQwEvjCwTxJyJDcyx5ROycrV7vtBe6LSA9oFW0K4crAlG2PmgLhlzS6kVtWJmiBigF7JD/OqOj2m5wdyCljo0TxDWJpx+jsxsE6PxQoDO9xLIxRYVT5BoWxn0DvZtb+zGlWZpiEmxdGDSCcDM1Py5LcqsijUlojMEIBi4a5yuC2ElghZqPXcpCtlG1bF0l4CFxK5MKD1R/4kWdzEdrUjryWDYJ4PdZmUlBYmDz3fpBQJCosuUD9N1VpYz8S1BZdjbpvK26ftN999eHKeZcGu4hoR46/KqSRcNHJYuVDIl3SDN8HTp+1NcMHRIqPFCM9Zyv0UqTTC99j2XmJ7paXs7pDVqmkb1N4nZxpMBwtZuTRhP1mXJBTFeDacEN7dnW7v3OFqOCaIRR+XsbEO47wb2AkrkvHVB846GMqc6uW5s+vCeGTpWO8myspEHcTHKgzTC8A7W3fUdZWqeCGGQhY6qh5Ufa6RQxDVNVzzzkNPltp+xmEWYud7LJjXs8OdVtAZSTAFHl/DjjSRpPww7DaoO/dRp4pG/s1kdiqjCk1X5TTi4wIJWKAbZgwphVaQKJcxqNSuKhTgkeGJVU2YYz6fXa+XAGSVcKhxEA4LnyQFCgWueBXq9MhJcNcDbS2D0E9r5G894NrccEMYs0E4adiGlYOR4aEKYjSW4mmy+KoZTAPOyZ67s8lsvPmymXwvIlYYgBH8YejvCa7WjzpVesqnyTGfJQ04Q05C5hpzwp/xud9+/WdnOvWdy/Di7RR559CCvi6xseLYDQamclG67kXkMBIeuHAwbR8jTp3ZFdOT18vN4ISLUqdvJkb0KOhmKk5cwjTODPZToDID2p6Fp6bnsI39aIRDuL/QFPwWxnUB/Rh8bFFnUn0lbTHC9EqIgYyquUYpNMRKEdSginVbBdS6obp0WoIFy8hsjIMmY6QI8fGqX9LdBXzQrBaVGFV6A+QIuGnVfDEd7itlg+og04YXALd5TOkVHir6kgbaQCyfs19kRlJyDX9olQ3xpWU4ymW73o2IhrUUUay5pCOM9S3rV2AsQWroiXgcwxpMCfHnzHXH1SjkwD+eZIdlplsoKsgxe7xdME+iUcUQOv9CYon8JO0kirsfHbPIgTaBG15OLlgqDdeOtyaQrBhhPV4r9iUMBrfO6FGMLRhQwsAe0TWCEgIg6Pjx1YipuYD2vtKjZZs5o2RT9oRcNPyRzSRlot7cpr5LQE+/nQU04WBXJkb0AKC5u2JedB1Q/+wGFl3FhS1lGAnrk13qpL8e66qyn7t2fAywx18YFkFD4cggbyG/PZJxAIojtlxWCeeQN5mwpOdJlye0xsUhmEvsKYnxJvMoV5yZ/lKAU3e+fr7zdttvbqPAnmn28XcZysopOB5FnxDiLleY7ERSWyaXWIWNQiX8rSp9kI7D8fFPz5zHV44sYiPkGC6W9WUOJrQAKSVKnieDkN3ruirMehz28vhy6D7601GiNgU55+UOZiFnI0JSDuQxD1ANNP4lhGdhGwNLzSi8ZoQexZkHNqlRvWDaiRwzUkJsrIswvA34rtAwqhOwHisJW4S2ZJBm2dMjHmtQ0CMEJfQUKkoWSSKM8nvy64A/J8eo0liFxbS6hj9VFQvpho3H81AgAEuG12m7I9EUhYac+xEtduqmJk2Cr2ZDlfSWzqml2/zPRk9CWPMNr8h5eXhptSIyai4E9aU5lmdNzE1IdPd7ZqD5nIDUGM2QGZVU15TYVOKl4mP8OD2uKr8kcoghZxpybbe7Pf9td0RIe3PJISx1l0DLTpB1ZWWwm3xhY6GPayvaZ0JPbnNP3HH2EA5K5kCwoPa7//r7P/0/fzY7rw8K5xKoWaQnl2/1MPRzBEgd4aMYVdF/bTgZ0xNLEb03ki9KxGgxc6fvTOejYIUZmSMvmCA7/nA/wiDLZRz5YN77D0RIxGocqsNM1NdgrIFGY/k5EmdcHT6aLqKbIjftCiY4ju7Hyrc/rnPmX+1joVOYcGbcEboYbfyrIpSzsZQ8SpNzfqYpzgP5eRlWKdaIP8qPVmSoNCoTe2Sj6RIFfbreeS0GFqEiTrrDHTYmRlU8rVau77Tq+7MVPp0QtGyCmXGohF6BqPMrjnJ6hZIKbcI2LCE3Y0+rDJQH1AAOTizcVBhSWFT8JZoZibhKCAU0Gw0uL+fjg5OVS2kSBpVmaKLRGtxS5txsjKeEauqac5ThCEEEK+TEmOlgdDVymg6GSJADwXRKM7K6EoaRxq5CCGpYXgeFPF1ITb8GkG15afucEEcR++6mgbMzcKQd2FbOTbB+cK+GchxTv1fEn4RfCl0aSOR+FkbVKSKnGBC0v49L+Ribp7FdlQW8HIRX4eBtaPxY2ZyXulcZlNfOl1Pmed6bLoMdqhd56i6N/fBUCJCOfXlKtD2GDBFdC86oQJ5YPSodSo90Wj88z0B5LQYW28nxEGQI6+EWr1jp2l8PoF8KBAPlZa5kGlUhNMoDcZSB+zIElWKFytL5lQNzGEebzRo/Fd7KYvRX9kkHvrt3Mae2G/FUUYbFQj5O44QZvvLXo2ZkD3wp0naJGSg2KqYd8KbSBQOiqXhdPsQHt563C2fb6MxgYmw+fHq4+e56+edlXeiEHFQkqStXpTtE/gChnOxHELMsArrsqpIZSojmtBjCte/Hvp6BGH266M18ArwPV6PxrIdPCHO80QeaJto/M8xwoI1GobMnWVrPkuVwPzzm+0UjknZsJE5FeOW8KhuLjpFYsioDh/w7XUqJ3CacFKzk9yOSxzdBeHNiFpVwo4buSKohq+ISauFfdYGKeh2TFRE4+5ei12JgdWTMQTUsKrNnghy4Vrr2d1CpJOEUvC5B0zIpY+bENdsJdlzL6hceSDkZBCrsVpVeZSF3s3l/gmg5AAAgAElEQVR+fLq6voY60yo8WJzWpxYVTiqcp3v2XtFcLKrxcHA1HoyGU7Ov5ZgGxXpEDAEu5eS5dEYl3d1NmjzIwex66vpb00aT9fjx8bf/5+/u//xYEzqhKLBiQKROozyKwyfTe8bLciqhjHqN7gKD2FH8CNWB60zHw/hwQ6FNdl/hvvrs3k5EtE50QUeWRSGhdYjr5ute9sFgupl3s66i4U3zWork0gmvBq/FxjLiFA80GWFnvRS94SRczHHy5DZNu4bGLKLW2blURqnySjiXZVrMSdLOT6TghABBXMBe1Fll7alI+8UbWHDEGFWmS5g4OxtVWRaZns6mvPi9kKQTNRKQ9Hhy0xN5UbtVyHKiXwof7OcfB6WUmER1P5S8hcC2Lz/+tHyzYSWa5b/Hxye2UrHwB/1sDubUvgV2FUfaJkGuanBYZ0WsNCqkMGKtgfResDBbd4UvjQs2wWQ+9B+D5NBrn8P4HIeATE7FOY2l4lrVawltIFOrUCweHeanFjrgIxcsFWPYJFTgwZLzYogx5YXBVI2aYBZ4vjd1p1jjabl+75RlWb+aM+OLRX/sxBHYILaUreVkxAO8YA2UFy6kpmheiY2VEqRmosiJiMapxQMUgllYKVJSqSeRVSXpDPQUeqr8UccOFJVoyPIKJ08VioSN8aUUxg8v8WsI6JFFr8LAarvDnfazpJjwnxWf4qJPktf1BhTYal1rn67eKcZGJOHGBnhxET+adwzXEo02Hjjr+/vBSM6GYoPVDItqxk6q5MOvdJAfQ0DESlH3sdqNlOwxUHuuq11czqVWmPxdMLhkdTWQcJ56sUr4+Onp7W/e3v3b18TqSmDWsLikw8wElsb9Ki2SwO75JjZoPCwqEBvK5cwYtuKNhkFyeowX7O+D6/GiZ/QJuAzLDEl8kDGYB+4quNCXgXW4Hd84k6dZInhJ1eyN5kqPp2KZzba6z5Ci5V/cxioSZJons7VaPVaN6lLIMBOpYIiXaZocTDhOeR1xufSXexBasg7Rl6MEzMJLM7Aj6XxRahLkhke9kJSaKQn0899gLTW6nQobqhrLH9kKev4VGljRC7V823T8fKOKQrRSbAocybJXX30qX/T7qN/pPD2mtw+qI04C6jVp0rKWwQC5zJJTZxGKoLBkxqwf5OMCPP38+Pv/648/Oz+PWy1cpQuFMDPy0iszOxNpWtr9L00jkLtMADojCSBCtTuOuw4mcUDRSTB9gyfpRN6riM1pE6AEEoZTJ/wqJw2QMbsdeQM5Car8JOZYME/ESbGxnMFtOHjoQR2lzTzqznSWdttRcA4rKzMRRzDwR/IPOuiwkhRNX7FeTJgLhKmx3qO3z44RWSIMM2FNzBJ+SUufs4Vf5F5JEZIajeha8l6FgcXCzWrFV8DFK7uhqq+1vyKOiufX1dlKpPR4bO9XUF2fLMNAXvBiHZEId321X1Zup/HQXkHAFNURhpn1eiHWIS/NyFwrRaFF80RnukIn8MTYzwLw1+Fmt3SmxQDruULZCuZe5dK8WNcz87Dq6VJkgGSMJ0Jh7Z+94WY0HfRroNu3IAwJCeEHI39EMFHsKo5aZFmW0zGzIGLBlKm9J9nLwc/iMt8Vnt/GqiQI4kRP6m6KXlqv3BQ2psxU5HUUZDkk91qVCvzrqUOKGFo/C0nStLPaNPWSabgETSmnWzer5woRl44g6VUYWAlX6ACMqqQb2C5zak9Vgrpwk9BQSH/ZR6g6VBoqkVV0iRqgAJdW7Fl0BWYt+iqyTpie+kL6R5JIRV7hNiGKXmFfi26FXORArZkOJKkwaYsJKko0prERr5gHg2D4/PjoTCQGepKT1omL6a9hp74jimDKYkou/6UfQuJ4ZCiS5eQv05MtB+Zbm8Gby5gF+60/HMwCorDNQ58V2mfZFiZlYvb1PMhz6Esezm9jVfEmJc5oSfrL3KQZ1nfKzLJhblhtDSctKMCAeubeSfEf3ikp5yHJyKZF26XIeUg65EdFSkIS+a0V5ssbWGbtbzqVPZu4qTCqLLqhghX/0MmwhUnRYl9YxqdQpiF6ZVI/q5W9ktQWWKO6NspBwP6CJfOwlTL3kNpKZeShDB3P5eThXCK72vYr1yGOgEDOZUUdE7MTZur0lxLAs3Fite3CE5UfLIcjZzIibnsUZqmsOafAXY0ncANvH1x+x6Kgu1u57pfgZsQnfVIhYmf/9FRTE+M6p43VTE1MFRxpPVVnhTOB09+NSvhrsrFUbJRLNDIdiW1aXNshMheJU8AMdUuwUlg7olUtS+DdihlKWouTg6P5Ja7s2h/42aJ+0iijHZr4ero2SzzGqJ99Tu+zRlWnVbIU1D/Anb2mqNAOsZ6FF0iC2gFHsQUQHQbnUSibKqvH6KjjE0RteiXnw/gcNqxsM1xUFhv55LZB174q2R06bHSSIJavx+yb7maTcLr9tHcCvlycX4xlCbMHAW2SlsZ8bKzr8JXtx1LOWI07tVBFOhtYGclyIzdqCrxGVSAKDj71ZvmZgQ8TlJ/22jjDNu0IIUmhZDJe8jbuO6HJko4zGVhwCuOAy5CFpwqjSnnIIfAc/97f4e+W7W4qlohIU8Hz5Ue9q99VMdDhKP8jwjouisd3nI+s14dJ7SGdy9vRlvY5rLYdQO1QvFBpnRcOcWsr7RlVhDJajy/CRTKoE/hYXbihecwwVHStlVZ6ZU4s0ygx+yRc+FmEosjmhK+GnzA1XIQzDL+zmH3V1KR0RXfPGuf9pPuxWlATk6dqsyLQWiyg2rHn6V0hKx53chuT+eK/QpRKlN04jegtdojhqDawhxYZmkTiz9c5DWQbSpQkSjZ33wkNLIiw2VBVtcO9oaH/fNl0LZ9bBhyH5njyNRzPQYU/65+POfkWm5WmRulX7WBUgo6Vkw7jRmryTejvqagDs5AtGZWtkt4P5YjhzCZwzUETBqOQ+KPyAtBJLcrne/rmkGJ68TvjgDwDGeWdFcmoymcqR/otWIXp0A+p5dTUwD6pH6s1NTGhxY/mkiEvhnPKz7h41a/i70xEEarghZCT6pwizqbnmFE00p4tClRZSlv6b45CfDFGVXQ3ROniZ3P39WxgqZcqOlQEIn65G6r6F5Qm4a7KN8upsU5wXHfvEMU58110hQxUwes5veVA7Bl7R3DCTWGbEH+2njaTdCebo2MzLapp6230aYOUqboRfO7Q89kcvh0MGs7CriPOhqC6+v3niSY9s5Y3Glzls1JGT29jtWal+LFOELuhQf6ayNTu49RGWQvkvo1dlQF9JBEZSOZWqWqepA/qnTBBeGNt+SWzkrL0tFQZXIa8E2KyBm2Mc9UJ1CmfBpGXHgys7Iaq/7lL3bqD6gpip8JVUyIbnwJvX0VX1kE7bZ6OxyoJOy3qauhlCtSMUKNg4WL5kKgG+cvMaZ4SbJxYlVCyGtZwNLzwV3e76/FVZR0LRurEc1LfjAURaZGoKUrVKadDxWNMVTUBENJmKY29Ds0l0wZZ3XXvQOJjXQ/63I/VnRTTUhVT7b5ISK0YkCt0LAk5YJmHkwtVBpf9bSNVytFTjoUDWiGJNPCam4P8l0moogo6xc9ERPQOdEllvUzdrAXQFhpgXhW/DP00sG1Dji9vjCpQw5A6lr4AafWNM2/29WXOnhv7G7QrYZmMTpW0ZB56AT5CgOnfM7HDrokyQ+vGPkuqEmcV5QuDV0SXzzB2w+mii2LJEiCQX9tCobb3ND2YyKma/omQZjlSfa+sel0Tz7PaWG/CwWPG117dgtPkKFOFl7GYihYQ53Wn8A12o6lDS5Q6oTUmswOM/qsYqvQ744w4CpkSV+WlSAUvJJg+7b/NBYjWPW54BWtgDORxJZBs9SB1kg1VgKuzABLYFjfA7P2UGwu0zUXOI0DGqDLUWLM07byoGQcJzc37xy6hAi4bNiUWI4MxoyD+J8tKu161e2kOM5JJT7SGsPSQo1qIMsPH8c1k0odIssuBHqzAVEHrCZL7aEoVWcpTbaGI6RFtpTZ08q8vdvXQ6tjGGj4mJwtV8aE2vTUpCVdLlbgxsto5QuSd4sQXtEL367KSRZwiqtQohQU1g//EDErAm159bbzCPBa/k0w6uTFYZ2Blp39adYoNVax5bTabhHev5OaknWfrqariBV2YDz518rFfRcnrShf1BEUi32YIOnxZmZP110Dv+QhqIxbixCpT7spSBZQwtYmJ0+HkYON7U52KfKXqZRcKS5iIcIntHkXGqiC9PlkFFdCAiuShBE89iGJuTFUv8nU0NTF1amM5x/ixWpCiwirtT7gak3Hwq9wqE/iDkudMELpLh+E5iSjgMr4YpaoQgbFFzxRg9vIYMcumt3vBVw0E5iQn2qImeSSBgJ6mRtHAKmyoSoIpVMM/KgdamofDURi6VMYGwp/UpWZFnWONqgqw/zMZ+TEv7uimwpynUw25h1POi6oGfVF9hTKf9X9kuVrGwDq565e5Ro2+NkO5yh6t4wv8jV4AZE6gZCqXPbGsG1X1NB+fG/uxuqwVWjFG2aoMja1VK6KNZNkYymdwX6UUQxYNenn9EHM1pgQGS1L8mBL8kndKzUuxC+EENVeBAxCFM4pN1Eqdw0EXAz7+T8pZL1QVwP5DPcKN4w2sExlVvOS8Nl6nU8VZKFNZhQkiwCrEFfgjT0NF7llIfTEkHWQEdhG3XCYpmCp/1eRq14IOaJsQvOBCYV1r4BByqIxqaIFRrYatDUWPzhZ6oCrQQ6o7QqtrdTeQxsa6CQdPPe7HSiY2mz6ooNvCJD2rdWXI1AaJ1BzRsooGNyeDV7ZYleGGHM0V5dC/kDSTVlHCkEVmz+yqbiJcIAhdPQ/wYAmzhuMxLiuiqB9vT1Q0vy4ZE6RnptRha5EHZ1qUzhSlRVirJuFEBykKbUj4P9slzZZO0aEvs1VXBnTs2a7oSuoZjXBCyW/TRBV1Kgg5Yi+kK19toJS0srcknQVtPA29YbQDVDvNxBpEJFUmpOqrVzaD6/oPV+vNxv/Zi0moRl2S0ys1GfgdbKxyUhLNXM/VDOr6WzjGNJgR+/riZ8tVuuws+F5oMtICU2tZIbJMyZ543wvhAkTIUn+SuekNbh4QAknbufLJ5U9QQkCl4dAbsgj4ItYVdL3aHe7lPKtIxagiGD0X+8ngPtaquTCwKmocmVzsYLsePxJpbXV9takt0SlThJnV7ShgPSNfBn+7wV2Y24qs60RWL5VelpKIsdisKAJlrLEE5EyYzs07XZPklfrcUt7cGhgHH3Ps4lGEVhKVsTJf5QoUHvK1C5kdHkG9Xa1/9fvvvNRQ7gDmJFWwsfBGsh/LBnqxkDJWZAB+mn82UOzKiFaRLivilJTDNDuYfZQSCTKy1Ae0ChgiraJgI3G1eHGlJLBOTlgFvTXJhl2nIEx4pIETbIBjTe33OxTWeDKTvzUUnzrrde5wp9VGhmqan3iqKKkM3dcU7jHLpoN7RNcGFKqodi6xhmXmeJlT5b+jdsKZIdfYm9ak9VgQXvXGsRxZ1VOCCo8g1RmqnrHVUHLI0ofWFdKqFncy0xQ/z7Go1rmIbWuMgBk0Iv069/QzDLrSvrnbLf7Lwrl0BluZNduAsW11G5i5spZ+rJQONVUFRLuG5JBaPQDf2Fgpope1riKqjYC17EebFosyMBIrWrbdJf1zMsLakVIobRhF247lWCyCJpZVAUv5o34F6Af+ZDqfTEfbzTLwveEoXs8qr3Pi1B4YcWIKs+AxqnC56Szl4J3CTZXNPd89LxxtR8Q5iDuOJmGrEWqGRv3c37YxgDW0xYOmLYATlFf1dIL18ZImGoEVJqjSaegmmC+mTDrNnKDxnUBGbobXRJjhrDGUu3CspLM6sSZfaeSN7z/fvfvt24f/9jiSs18bejxf++RPYmM5gxtn8FRPmDJXSD9bj6u7CEP+fBjtmI1owQxlQx9dKXakXF0k1tSM/8aE9UFVDLOX34gwYHUVHnVE23rpQOd5e7ZbjcYTjmBfLx+zg677ikAvvHidQGLV6WBU4WYzK4Akcij1iZf/GvhRNSpOo6sbiMlndyABjnLJS4IMd10BrGpgHtc/xtMJFVPKWNWkyttTojtLh3SQsE50NeFR5vJHZFYufR9oqlSkpG35Yv3KZ0LxfP3r129//Y03cnUytcRkWawSr30GZ+lgM2BjHVYxrBVnknK28wR5CNkmBZxSTLgWv+7ZVDt9mYiwMo5ZIxfWGsYKV7taHvo6keI0hAnkV3ZBmPRie8KowqTPILKpq36Wra4Gzn3PXS8ftuvnrHUFV15siZAGxHLzujoH7uKpwqiCrBNtVD+uwSLNaIKcUPNwwgnUhl5L9KK5lPJofjo13bEDPMctm/acuoyogH6HQEYn6Miy7JFiQ9sSdjbOKmGn3o9c3ZpY40JGgbMRx156BCYd6S9Dd7ebv58HXwJmCp1rCiQnZc1NdasLBXt6fB4E19hYg8iPFbEWGous7QmfPRghQAZSrDfsa566pPSgENaSRYa3IrT1InAE+YDuQNgRCK2qmgZrVzbLlRqflLUcCLisPOCzy4ovr3esBsZRr7KUBUHIiuGLGVh8bfd6YrhjURmrFa6xpwrCcFZlmfV67rGwXw8xCSUNg1ckV2RXhN4I/tlmIxn8r3HNK2HdkTeqFJS7MLYHJWqpYtpRHeCenIXD/TCyrtvVTkvTQNrbRzNTmHV3scYV8a7FqoRZG38n4XHajvFg9PPfPr379e3Pnz4zAbxO+cePdeOM3jghsRsMa0/MlZQ/jXcoqbOKWSNBcQEVMzv5V9FN1W0M4US/EWFo9YaZ4ET4K8EawrBMjYwdloNPeh3mlKRgG+CpGo4no/FUXVa51cCkgu8HHrZVEI5ecA8WBtZut0toOv/NoVGV9AHG1vnpscUYbU7MubDQTS8s2AxljKjcBI/c0iYhTa6XJtCWvb+Mcoa3QqsKbV+dH81xwASBQm5gR1ShoZTjz/z5b0bLP+0Xo1lT2fp8WmqJsx5OaW4MOeYuHLDnLK9mVkyLkZRS0Ffi+uv63W9uvZE38FmDDzXsYdXWxrMQlGlYzF3nKfQJjnUdOk9H2t0Z4D3cKj/sh0APGNuAiAmjTqlsRtxtJbrW+OtExYwVqyFgja+XgilhwrOIabREN6fUtSiL3fc9lrNwWY2n89127XslO7CBjV3FP4PRVH8xDxZGDPZgtg1nuK8xqhLsyfhPUl7VjXiw6ElbwTgf7VAkRpYQJrfQqHJWqgXOR9WpMQ0mw2AcektvMhq1xQV/WukjZa6y2fA3wSc8f4HLHu2ILaCTsT/o4YVKmWbtK2rBFSZ5FV7l7RFSG3VQOWZ7lpXXr0tFr7MgaEqE28F6sxzeDsJBsF95s91c/ViH+vaUBOWJjblr1EKUh/tK1grDAQ6tfPEXeooZCPq2w/NsFKteFXGFxBSp8pesbFqae6470EPICxNR1lghCcq0f+PfsnL5NGqxmsXYYQM7pzGzxSrac5kvxmqguqwYgvkMx3nFrpoiqR2fMarMRnX+AoLlPzaqswKIQVolB1XpHSnor5rKh9GJec2Yf+oPoR0kI7Aqu7AOEVQGHsiaHbC+SzHaMflOxaDJ7ej7/+P7fej1TXYKT7kruy5ph+Gtsjct0NNdjkWgUGGrhJ0rXVkqyghdZ8Ty4KQfkZDm99ihwl9hr8yoejW1pjKf2j3SVYWG1vsHX9ruB/vJ74O9E71Ye2N/s1k7A993g9FA9J462F5A2wt39YqYezAFGdMKM6uqvWdML9KgHVpMPCM9Najk/VVetpW38k57nOjWYIqzbPlgmAZdccXX8gtB7F5nN5ANaSwGuvsdMxkuK3Y4sIF9s346tK6wq7Z7j3/quCpp6ct4sOA+3VBCTk9JiacKeBhSZkuaJexT02ZJRmkxYRpD6SBPXeyHyQflekyIB5B0o/blC9Bg2xyU96lekHdPu8ViHvJFxKF3wII8o4wOx0LMXQGhudWd248e6wdKVYtZqAo8ZzgbhKsGu60KQj6dDj0yLJYwWMYSfw65n0fW6qmqQwVIHzwG/vXvr7d8zfzTLjtRsCAwWYyWA5cGyazwxnH3Hv6r0QNndUR2lbGxMpNEHwRVcCcR4EbuQgQ2FgYW/17Yj1XGD6FfZKV6AFZw4LTJyl9kVzTbgbV9WtQW0E2nQ2Nj71sAO7YIZNCB8r9ekKQp6XnMOQQSzkqMpcl0NpqO9ps17yi5AjEQzxevVWMDX+CdBgpPscNdVEwcUgEUxlOFs6rGU3XIOFKA08i10ornSZS3lhcb7EimvuvHL0zKqISa5OY8nLDBUqYybeplyjCGdp5b1TacBrzrTK+mFMtU6nirI1/+6LQPd+Wqg9VD+yrBgxpKSrPLU0uLaiL2kL8LJhcjv6ddAcZWqEZYkSOsRYDlJDFhLDOTsLdtayqAx8nlfOsJCQ1YPj5987u33ih/UARHnzGJ6PtyQDSemSObbA88ahnaeiIobrX5FQbrBSJz5fOLTwkRL+/HqhB1obh6IBTbc/pnw97ovUBYfMy5k/bkJh1lX0WGGNS2qNB3UbAzmx/GXBCuBXIes5jO8UUaUZjYaTWcTIkjsFk9bpaPh9YVq4F7198yJWBh1StnhfzLNrBgXrL8Bzc7G1Uxk+UXOOffHJYloP4e8pgZ6sv0mgvC6FJnirHZSwgoSeqVjvbA0sHTvm5aY7nbPg3WniOLgG7osnE4zcMcDwarx9XN+2uWnLPpbe5hr5itXIxYc1n1cD/tg9J2gNqVVkagx7yNP52PvLAzl4oc1VFgSQusVbtKJBgBbnvgUhG11XNGd1uVty7kP4ab5fr6t1dZa3UQDAI/jBZhMSBFrw9873AtFfkSHWeNzbKgim9WgC3qFYh4eRurmmbDtbYjpRpe+xxlMB0X6YeMgoh6tP8+bU/kQQ2lTabUg5wTJoDMLAWqaVWJCBtLmMpecAkbHh1uQ+L6+YHIC4bybGX8VbtkNTCbUXv/MgYWhlFnI6bUqKrfU1XLgV9k5qmtGRkSkbNKXkTM1cApoemsA6mBnkw29Hce5ONLRiCOY1ZeAvfa3c85GT1lP2Cfvj6+fXfrOe1MByoau0oNBTsOZ1p0nttj+GYoTDjlb8PhZAAXe6O8sU9jDoOx2q46icQK37LtzD1kM7rcjwajr395+O77D/4sZSb2o7cL8GCB2hmFxOXBxgq2DukHOGRd6SCxW4JKsaBoLcClFIiNNXBeYD9WCZcOGYIsd1cjh+DsUoTDoleVwfytqCXdriUr8o9KLu2rFhAh7mS05cgAC0bVUHZZNdMMVeyywrQazRaT2WLHKZ7LB3e/zUFUycZZtdl5OK5wChdyGx9fxsBqJKtQ4JxGlU3fFMg72yMyASvCg08TLMTJgkZarpd5T2IBRUZt5lWpCQSjqKnI+fJ7I4VJK3DhuAzai6sZgy3rOaBBm4ftxQXbsGwwRhzmB97qrI991XrQChdtsFlxuwGQKO4MsobSeYzu0Bv/xtnBPsTIFZsDP0u+yFFPMBBOFkBIiiwCyh6riMOVMlysWwB1zCO9i7YXCKdAshpsl7s3v7nB6E+IFA+WIgzH8j7AThJnV6reRfYO+ZbAsbmhukIQIeayqWJZhrN04NhZbawDEaohlcZqw2uK9JQVcVgsKzslLB0RiVxPJPQI5tR8g1txLMvm8YZzRzawBwHhrFAWy8cvRF4YDov70TOrgWYq7MKP0hHYBZB9HXihQtNQo2BUmWNqzuCpsqGtgfSTZZ9ATHUcy5wUvSRJ87trzGbhPhlvTgV4wEo9LgHmcvaTug4L9F4+bm+wleC008tx1rOVpUZZrC9VKY9zc1Lrbu2NzTaAZMIzV/ybbVzdPS6rxe3M1dVVeIaWSkDVVeuWF22uUt0SLQLmmNwN6jG1Su2/YwAmdQl78eXvny9v59klV6QoxMbis559wPaS1Z07H8hxFKVXa5FTKEZZYDMKru5aokEKzmpjtZVpdWnAh1Ku9pCoLE60sZ1plaKNRa5H8noDpQIjzUvJPfoOYMlqoA0wNrDv8VERNWY6J/4CLiscV8x3vrsjhOj84oZ4DAwhVgPTbwNt4FaXKVpt1SV7y6nZ4Y5RxQeABhP9gTnVG9Z/CEDwRAUUGT1q8tAXHVWQYk0dBepV8rVkDJvh3YFvxPifXgwD1ui59s5kPtrmDSy2Ya2fV1dvr5b3j9OhfBJvLtNTymDq/oKZHEldBzkhaADtZpb3nHCMjdr76xwdLftYxZGDDRxz3u63REiSijRZbJXRmF2vo8CbTTrqSWCIXX6C3t8v+Tj8OWCre2iiMIT4y3w39MJg8n64ftpN1rPR5JDhaatNt+q4SNpdfmMmRfrfpnA5iExqSkEmsXArZ0IPBrfh8KFXl2cBiz7akFOsZ8+6Ys3qZ5gsAnw0ixUAwKy8GNXknChHqOuFNmmhXFZ0gpXA62AeT6YSzmrzzDtxoSa7r9jYPppcOMPRfrss5HZ7ZJ7tqDi64TO1CjHcX5tRZdtpx7Cga10EBXZ1W3VI2qWKsiheXSkq1Gs5xxVqn/iR0djBSBiGg9nlmD3ajjPhm8HxDXNaLmAmjH368njz4fo+vJ/FIx5GqKY7AUNUp+AtA2+MrRvj7JRTN9haaxAM99v9cMKrUjjc4QYM9oEXEFj8OLpFQxurRaZ89YuZyakFqeVtF0UMXzkKYzqdjSesBe9XG2J4ebv9YipbZltgoKgUl/nkBPaVhAXZ7ThoNrrg6uj/b+/NuxzHkQRPURJJ3e7hcVRelVlHd83sbO97s2//2O//BXb2j57Xs1M9VZVHZJx+6j4o7s8AieJNkKLkiq5iRspJEDAzGACD0WAwNP0tHXPkrdcb/6HZVaep7t/rv3H6qS+8VB01mlE96e5Vl16VTkEK2l2S0rFkrfCEsRvi/MimJvEmn3WJ7JkJp2Cykj0AzmzZTGriL45gUBzU4XnHOhLKi2MI0juCDuBy71hbIPAlS87iLH4AACAASURBVIEt292sV5isUrPjXIXVCuePxvKp3bb7w+v5lBMGI/uZUgtmJbLg2GzZLbvzDAqWUhEa7P7TPQB2X5SlKkvcZLHynOm6a4rgRrKGOn+W5BcOa/pq+vrMr2wg7vOznfhtiC+1YNpYzqg1VdvfJGBmu7ltxtXTxdNi9PUVId0rdx7dsvnFFXRs4m2702UT/nwy7jlJE4VhnUtyCVEoikK5FkYNWi88y7ZQguiKKIXuyF5O1t3spas86gGhdRZhU7wJ8goWvQOe6FW23XY7HddttxFRsj356WmKVsWepIbTma6XnebWbhvH698zGOBa0BVRUeK99ITOdjnnbA6roSjaOjI90D+bPX/6wRvZA0NwSfKEzerilSEQk2x4hrk37uz9vOU0uzfdyfuJXfR5r+1Yp9KxpJb7RjKpQCJPknWJLNkJisvwt14mh/AJ4No7Xgj+Ube61qXII7McZRrMaEX4WQFEu7Kdju10l/NpMuACAGARH1GoVmHvDgpuxg/d3hC7OAWL8ETfYx/DMYJJot1xuz3XPaOChcxi+Q8GYcHi/qKUqiiTLv9przalUwqP5cUpR286YvWlDu465XIGpqzkoyRmOtANy4LtLSEcsRqwOYv/bHEnog9rZIzSzZw9JvMGq2AbmU3T4VRNRRix/EN0FtvtOJ2OGjub+XjScnuzxaznVtaxTAmqXB84sV35TKNIMOHW1scuZNkt/6EMl4ShapVNpHJ61xIOyZHehlpXpEI05PWbN51up9UW6aSZApNfv3rz8PB4e3e3XBJucLFcWMs138CYstqR8gZcVOQdb044YFq7m1bfH79bDS1RpIDf7PvL6abTcDcftz2v00yhMZNqTd4O+sm+xDbW+vs/fvPj8u16vv7Tf/nnf5v8j8bsUKOsO3SskWUN/Oak/rXCTIZkEZNMh3V7C2V6z0wWoY9JVil58ku3bFVUNfAnv4aG5InpWI1MOFbINGAySpGXmKw4yGA2ST+PWbJtMKeL/Tv1ms/G7bajTFljVg9T84QTkT8cGWMRnNQW1QolR789rQULORX4VKElaqWKT0MCVoWJ+8e9OQekp+ndSdEyqgdKksxCWb0mWuQET/pj/QSA6wBpOJ7jqDZ8lMgxL2gJne9lg1bTsXzWYkJcJlL5YjbDLrNd+8zScQhmzwKPsvu2k6HfbGNTabuu7eA6sANLttl0hqQhpdXpzZfTrmNsVtlRUolCkUQUzBBIGXWUzYOwi1JNLFhS+uab0ae7+07r4KyWWnRfX/QSnKuKkao85cgDqJjWWq3+sL9HJ7Rw/+LFDYuEV1dX9w8PGLX4B9vRtBazxfTpyW367X149FTij7OMpIMMp/otb3y76m/6WpHaNLetTmP93u9qsZ4i1DNbfF9x4XMYRe337WX73Y/vf/OHVz/+P78+3N69+uHV5/9+a+ONX3Q9oWM1UCStiUE3KAK2f5/Jj30G8787C2VR3xNGy0CQYX7GC3RgVjjPitewijvyyJ1gC2TDsmBdvpB6IorjaIX3etvtrpfz5fg+lQZZDWSbUsIHK5mZtcXNeN3tD/F/Z5thMoNOQcdpthxUK2I9uJ0uOk84Z8pYDL+ucJ+qVAVwLly7kib9Yi6I1dvR6ZsIx0xl/Iup0LGEnqTtYDELSK2utZ35aAXM9nanuZ5tMAUH9HImyWq+ZpRtnjyc4oP0sjdUgMADbHHBXtXtYFNJGZ7TCac37OZCEUFOb7Gad6qvFRbQGOJpIKkzi9ARYwOIlVU+QNeYWFps1fGWd5vBn/q3w6dM64WU518wDxXK1T0xOyNWYX6xJMHklu20HWTiTnNChdoDalxdXfe6fR5d1+12u7OZyFY4rTWtqxej8eN4M3kMRH9QcHcTYlnwaj/PFZIXlMi7cWZu23dYiNhl6rLt3LPXNrZVw4vq6JwQpm5049ZDXpIGadRmc/521X+xuPnD6Jd/f/d//N//+6e/fI56MybL7VKerO3Ibw6sRj06llQ9rZEy8Re82DcuMJMM3HGaPCbfCQWYKr1WTQwZ0vONAdTJn3ykUCU8CpHHozJaHcrl0E1xlv/4CkO1Yg8g5zGnGpyAgNhEtSo5Tfrz6ZNtu8qU9YSR6EATm8sZgWwkabu223Nc/G9TmJYiwUMgTG/zlaowlJiHe/jVJdyX7IXPQDIWQcdlVxumDnrVWWJSl6tlqpQpB+JCcusBI7/rbadvr55YmZEB5XRbS/F/PMxm5PHmWyzEa99zQ+kVKuL2+m+++wYFQxwDuLzDDaJksSAyXmRrLUNva3eW64WbsmUsFX+KFEjNR2IsqwhouJEhpmeElhluOku33QhJlS36ouoSts9WaGfjrMbr66+vHv/ng73fLyx41H8yAwnwHHGaRamkK8Upc6EQ4qFFVlo7uGXgsr7XThoNdNbZdP7i5op2HAyGw8EoQHN9faUVrCCFm8V8TkTPBHvCWVLuIYCJoxZDEXQGhlIB2/HXU6/L+Tjp16EZpTOrS5oyeinySs3B0fLZTwF6x7I///nhm3959XQ/vb+/f/W7m9t/uzcxYgFb6VjWgJOCqnaPbAJreKP4SUX5FzBWmE16gtM1oCsPQsiAoAuhJka/porRCcNi3y0BN2NFeEQ6igO78iXHdpW1GohGJQ7sm7K7jA8I1+sliLr9kbgILOcy+gig1RQfdqfT5Xy+Q9bEXUgUJt7lJ8SUKsMDlWU+iKiB+Uie4e0FdkGUKvimhwfcI5JH21+yaegZuHO5KAMxnkeiatywEExkFqm4u4Ke4C/8ztB+bLARDmsw5xZbq8QJoMRx4BMbdWhfuspfMLbstlCAq6KsnkQWUNjeMhnPgbuYLzGHBwhYht82Oqv1winWsYLKBaUzb1KzkpjV7axug0VSn0jI4ZILy7trSF3s7Wa87bZaD+8fvv7Td7d/vrUtNC+BJwCF11mAMylMvlBAUmjEiW305rVeaRUlTmFTN1IfvK82a288nr558+r6+sWOfkXOoD/gmzDs0vD48DSfzkZZ3qvhuifoy1cBE9mNEkQs3FntLfrqQWUMlRSCgk4tFc++eKuFTHaWY9+0l/anH++++cOrD28//qf/7T99/vGuEQ+dnYniyfJH/tE6luJHJo6jXsBb+EcraDbnM/soTNUKG7dvbieuhju3lHCN/0GrvV/2vTSrs8p5zN6GzT6201vhezhPj6rgyXnMsvcjF7nRS1iHAud2+qPr17gK4ODldHqB+1MOiHIKVjWlKgf9pb26HP1Ps1p1OmybbL3e2S1YY43OYJfGwhp6c/kqlZAI6rMygUExGvPxfD1nDT/2FUUo0e7rtt+cN1bN0evRerEZExErerGBCxg1aAlpDnagYjCPhiPWJREZ/UGfrfhLzFkLNC2xWqNjeb672iydYNkoSl5dTzJppHOw0e5bkwnHt+z2tWmMLdYGF8626cvhxGu82Zqr8WbjLRoOWwPQbcIm9zpo3FmJ4p0Qq9XwapiKANmuzOorVhle3rzSI05y0qfwHGs2r0YjXN11Wbzfnh4eaedDtjBQg26oZl0FOlzwuHuWBlNVa0Wk0KSQGuEgp3Tj/QxnVCY3U4wljKz1p8bsanp9M3p8uH/z+1ef/3znr7do27lgdi+P1bGEmhhFJmhN8ux6hGIg+eM90ATEGfLs2/dSKMRuEBG2SrzgL56+zCee6cyDKpxVs73gxMA093NgYP4vvxqYx361Gug0mvbWsl+8filLC6FP3JySxd06UKroQQA1tFTloLzkV/UKl7I1Bbs2VlFQ2T83GZIuRUZkzHplSTg2f32S+VhKTMrvhKKagZCIs/VqYs0xUrkqeGMAwWdXCgbDdmM1XnU7A29ze/NDz/8YnWWJ+CjLP0cJViCk2iEYg8PhFVpUr9e9u5dQLrgP8W8wHKBpLeaL5RKv+zaH+669lZ1uyaBQSrcJ6hi7ycnKq2QlWRv12QewwAKXYkfx0TyJJ7ZtYpezNtvx+FEpWEkwMSqqPKZaidgokAoLB1W0K7oBIRoWC3jpuYeFy52ONRqN7u7vaRo+cu4+30kbleFkAq/WYBLJ9SXoBVeoh9S0tirARKm6xGBqL8Jp5eFvs9/+n6OH+6cfvv8d7nkPn+78z9HRlE2j0rEq+WMJNakUZSMzeaOECJxW3JYC3NfFQBP8ZfPo9t13j2TpE7AogQT+sByoOJd4xwBmIxE+m/zdTyfoMygerbaN1WqzXuatBioH9n25BPCSCVDIEiQ+7PjF2p0eq4GkIAeYph3H4SagMAtwuoJ1IqXqwj3cNY8KWZbFysrpWqmi5UCtVdgcUNIpRZnKyfK8r2qTzsbVKCkRhINyhWWi1bHWrLNZW2tjEVkg5kbFDnF/08DPfT0TiwsnhM6fVoNtrx2ejDlmb1NDqzDjK+oOP9CLYxB6AEksZuF5vVjsllV4pTUt30fTWrN0OB2PLW+ZtsetBJfys8oASajz/mC7nK0dz2HP4IF07lR/xVLFvh1ULJiOrrWYzBt8o26JkBDNHCl5zAMNAeRdcyCnCW+RBAdL+TDV6dw3m5tffvnl++9/q4zE++yWuLr3er3xeHz78VZ/tobct/bZ+GtcFRjI/CLaeM3XrmfL7HLcDKMoPNaOlcMPx7Pf/69P3/3zb1G1ieLxm+/e/Pz5rbnzYs0+7xVbQbitWZ0c9rUwsCJdBsVkCKuhqW8MStSWRS0F7jpqEmjASeSFuGShzahDA22HndRtjrXB1ypZihRxYMfRqo7VQA1fGbZlb6BeDdTiN0CNHEB+ISi44QrSkzcHaa6VKl11ypzCUgWV6lM7ScalpGS2fN0EBtymi9NUzI5lMdAXwyJMu7OUBfL3kz9oWdkZkNAPnJt2b+j+8j8l/IGXmJwwY28WW6fX9p62rMoNr7v4AGzm20DB4vOVAYcB6UiBRZtipoo1Sr8/IGRAkIgRK1CwgkRqxxcV13A0uP/0qUFQrqpXuFMZwqDWG2KB3W9eubL5Ti7FbhGXwhFMPs3tnd3XUTpFaBKCBi1N5TzBDziVBrMT17ikokqpxB1KqJOkVmuXQ+hkma3NBoK//e0nool2ewQcdRGgbVTadns0HP70t58C2cXG0jjViYR4hugzgx4ahDc1XEAS9ECrCaDQBKhjKMznB5C9e4lXxCr3y1cvJ49z97Xjf0o5ujuLPehYV6X2FQpB+URloYqlC7NVuxUwe89AitfSyjEyanhUFKLoQ15AYS0sSqENrmWarPbZAyJIQEqjWvG16XQHm9ViPh2nfpBAvHK0Krs3cI8y7S8fXdin2GYMbnzYmanTcskAWa1WiBGkbo4pq40QAQS5c9ekUlGUTgQRWEoXO2MB1dtOhY9Opo1Vx3Kbz99T0fjFwc2XCCINuUSEhCYz0mIMXD6teq+7fK50RtbyPTsEDwqN5gibBLEQT/zV5Hbc7jjO7kRC2UiIAtH5wZ5/3nhrdSS0LlDtFykUNeoQL6DT6YaBdbspxpggA2N+8jQedg8fTupVPpeC0sY30dkXLttj54Xt6PVN4W2Y3WpmYweZnuCk87PcNt/2jLFVyAgWqFJUWLI+qPuBAiTUKqHHU8AXjGsckMMaIVVAWj88PKEv89HMgCX/+HEyn+90VmCy0SFCUvQp8ir7gf64pzA7U94bSvOa/4WjiYyVaEpCqaQFmuBuW+33f/n47T9/R3Cx8fT+uz9++78+/dXciAWlj+axG3aMSlSvXIIwnFZTncqoJDlVExtlfpZM9BxFofSiExEA/FKq1c6Bve1KOCs08IdPLAtizeITNkwhg1SZrJAl4eRj7uVDrNVyZTXQ7WIzk/YuurBDkS3HlCUbZCqYT4rw/uP9jgNwXytVPKNcatPgkdzZNTwdK9wBwvdHIji2+AmHa5S09DoHAwMBZzj8vBnG5Y0tAU28eUsOdo6BFgXrRWtjebPHGd81ttuaBDF8JLffv3Y//DQVNeKYC9JDo5qTFnr9vU1oDxarCt9MKFL7hMNfTOQffv2gHD/DClasKof8ybsSWYPCimKbtTYzduOK5aEQLC3LrYItQFt0Q6vIpycTIsGu5EYtbPKNhzQMM1nDgRQStRGLtifPSqlZL1++eHoc3989IHtpGTYbkj8IkaDLVv1N9jITSJp26NWdGyDJqx7GgkAhE1xJHMenYA9ebebz8VQCebCXc2Q1xuWgGtmxjmVGUN5UmITroMro1YWT8DCMq9q9ppCGNhSVhljgGoqVXEUFNF8gA9WKKZLDbdh2smI10NtFI9+s5nLiDcFo1BnMp1kN1I5WLqeQ5YddSNYGyrUpC6GRVKXk+LRkmb/bFIP+YMQb5Lj+9lX9RtZbjYr9B8n0HD0q1HKFXTpJX9NrrmZrbFSyr80Rcy7fTOHW8Fcs3hEwe7t99J+mE/e3TX9/IiGYV/fr7lcdBAJfa+FSZe9lfXBPHOMc16tUCP1+N0XB8hufPn5k9bCTckxKKph4YqEoDBeATPmsRHoUsjtcTM3V27XXjkagiGap50l9nYs5KnDAYkhi0g/1lDgiW4xYOK42YO/dLf7s2+l0hnalqygjumHhgRexMpbiWhQhYNVSZuTTPJrl8KS6lnQORcy+lxzen+ROUVhu6jXnB0FPnh44NWmLlfbTpw+9l53546psnF7sWAZrheZEHdio+4lu+kNqlTvGCMDqWhGuQkFRGd3O9VBITQtNVpoe3YkRthh5sEO0OY95s55PH5M8x5TFPiO7M5yOn9hGXVQd0/dqj8vB0YoBbloykU+bsvj05Sa8TBf+0k0UqjUB0Xb5ekayac15EFaqYHFSmTUHlZNTDQU1sUWFRvQpB8DJXymNHXJOPQdIjbUQ5EYmenOMh/WjHTeAs3ra9K7ch88Lp9faPG2JRBnmlDi/cyAwIeXQotZNPLVxhMc8LTsOMGyM/ea3fm/gNp6OqrVodaohGerD4TCoXZgS7vG5vr/njK3I9cDJeQ9PJMnBPocrfH9IrX6naJJK6qGiGrsUNFQr66HLcUOlSlXKLBMGdqs1Is/ncJtWS4Vr14Sn8pZExNR8vri/vcPcTM6P7z+homG+0jVG/7Zb8mW+o2f/txJ5UkhrgfxmQQjozMkTLXs0TVFwMAEaNNOib1KeSuEGLF81zQ6b6tfT2Xx43VsTzaORF7YxBaVaK8zUsYSgUkRJfppX5En5vp1KnkrUXDRlYzacE74p1dCpdOQ7sMeKIENkNXCzkcNtnA4BPLNOVt6tBhJ6cL4k2meTT5yVcfC0GNb9o4Qn5cCMNsc5EExLDnjdv6n+FwZqUxaSJpj9z6dgYUALvESrV+LCSjIW4aZuHpQqNMhah2VGbXfyHcFx1HSeAf34ZLUYc0LS4PpOaNbI7fXYG37VZoNwZ2AvHzwnHI5cCd3N3GPHrhyux5w9a/S7I7s5ZH2d7XPKAOZdveqOn6p7l8N3nDpFI7Cs0fCqxfaqjIuhxBWMYXLhIfT542edPbQ1r8TUkp9VM/ygV2lMZabecFXKWinCZY3vdxVC3Xx8/4FTpicd99Xrl657mL+DXrS/kb9EF3v/6zvGMg9c8Jm4gkwDlr9FyXIh3dm3Sz7LjAlNndhALQBKT/M10RQlPpXCaBZ5Koub/Hgo85kiG7FwqGHjg3y4VLnS7VjlCNILeWCvUaiE6yJgadYTQQ9jKn+/45RhQ8fg01Wp1+GrI/Y68cjXjgpnhdejrAYu5xM+ZhK5JCG+GqiifTqcpdwfzabyMVn2gk4c2PeqFY5WhzNey4LKyh82ZcHPvbDIyl5fOlpI2HRWH+DaIO2EmgE8lCouPVRgKJdBoXqyKCLLSY56EJeBwogrYU8yg6wrLmBLzzpGCLZzokpKszpua9aI60nUaPXrttsctLsdu9u1G441Iizc1uGsujHhy2frB6//dWfiEo+q+sUqJNUk5BVB23Og0Py4ugcKFt3v/dv3enDRJ6MWrBwwh1cZ/UlYrpSqzDmn4nx4wHz6O993bSKE4Uq9/rj1X7+56exDNujxCwX6BgZ++nh7++k2eMRlEnerjt1yiZFvVV8+KKokXKQF+Kd9noTnAW1FZcPvM5oxnKXqPfTQG3KoqoCbiEVNm72EqFYiS7nhV/OiAplKx0rGeS+mS9ULhLVLrJRKUL98NqaUOW+SagFTRZC6KKuVKYkoUuvNGv2G1UB1uE36ecx0AvRt/mliYtCxdVG2P3wx59jBvZ9WLE/yEfWjTQRpIlqJp20nX8Ami5dKgWxtyoI/51OwSpH4XJlTW1QTQwsx++p7vrhSnGDOQjQU0mxb9a0XER6Rh7OQkoekppmXqqoPY6VTybyjcNZQVWloUR8OdHK843bR6A97q80MXytdObKRw+IAO85JdzEmH/QeXAF04d5wNPOt9dPY+cFu9ds+D0AufwmiZoswEJPJeNNZgzLHYajf6z09iUswBH549yFQtkC8/5SsQoNQHRBvoshe6IQRqTssYuR2kHqT8bv16quvf9PtRTZmUml8rd69fQ/zEersRsFe5RKsoZO9dhDBIGw76qIzikNb+oxyFOT6CsNGOrYaEEcBBYKHHO1azR5B//3lo9cdyPrnklMUvFVj4HVmXTbTVsDxaPnXjebAb0z4vpMGymskPUhp7eNrVIrUuthYCmlu5hQu5RNJARSrvZzJha1ewmNswEyaandeXjgrvRqIapUPFIPndHzPciFrRsulnMWecynHS+1oxdGBjOjTfSlFqOC7V7S6SNrf90NSfJDCJKe5Qp8LprHn5ZMSDTIdh8mIPIRffIH3qoLKBsbQrP00lT1D4JjWkHQCSBdPy5vf3Pzy0wRfK4ySbU5Ix1jlEtw7PiZFuwoV7o2Gk6dtY9MavOyxK8rZ95k9KqO/0DOfTjFh41U9uhpMmSY4UBRfdy4iIOCdHWpxlrpwDEJqEVt8OpmGESjuhRMK7nc956BXhSpWUFReq9wxXhoUO2GWXYWSGIi6gGvku5/evvn268Fwtz0TuY+j1e3nO5Qqgo26+GZwkmuycDil4HU4a969bimZ46WbezS33FS8aqIpFzukQnNSIzHHzQZSf9Swr8Tvisi0y49bx8W+yPLgduVZ19+zU8TfznzUqw1rhy52ra21knM5DXv1Q2N7ZTUHjUb2mdAC6fx6VZiv+epLOOcz3qcSCe/KmazEMLlCHZOoB01vNn0Mf9OGa8dqgJgyy0QKnU+fiJfTG1zJcmFYHO/gMnfbjGXkeNvuIssNu1CYqiPv4eGZFCymKATZkeSeunjQAChV6J6gg0HoofyeGvV/OPiI3LJME/1B6RDwm7JZxc2FeWmmLh4XX/++u5w03lx/77QzBySyINkjBqOrxe3m6uXoyX+K+W+Z02GxI3kq2hIRL9Gq+K7n9Hb+kUKHFF0LG5qDniBb4XB1//XtOza7heEzeahubMolMu+aKlmlMNyc+51hIyfH87+iR1FRfnFQI2bDp1/erl6/unl1QwiGD7++R+saoFe1UsI3nIZ0xXQRL4A/9HMh8gRr67VWAWrpL7suoyGbdjWV22t5Vtd7/LhqzNqu7ww41mlEp/fWS3/4qr0Yr/y71sBpbfCF/Mq3Jcqj7a39+XhpPTYd/+A/l1Opx8ZW2bEssWNFLmE7PFfiJfLi/A9Bhzw/6ijGvNYLEyl6lbnNStynMFqtlAN7d7NeYHCK4t090Rx8rG52i8OpWfIS8XbHnWswuJ7PJ0GQdyhlCVKCheqIVrZRt8lDc8S7MylYfIRfuIc7KiBE0i0Y0yhVXEdw9bRF6UAc7RYWzRpfROydloRC6DHRlp1fhJ4QLgVE8hkXzAZZ+Q3RsBaredu2XlxfQwqKFF44fFWFv6vUV1YGkZv2w68zYmVVJMCS1T2P3TSt1mTcfHFzJbzZXxCxZAVrKdtnsHJLX92sP+K+rTi3zwWEwxJfkJi8OUCOlU9m/cJSDhzLIdxpNae3t7PHR1b6u1hHOmVEsBGGVOQ7rksvj7baPrdett4/lfhbnaYSSFRWKKcaAfllEdtee/GOGLN97K+AWrIU7jTGd2u315axdt8cOrJ66/VYf/ee/rpx7Haz67t915v7QeC5ApqtxkPDv/atvm9NRccStiuCM7heAO5Ur0OczJAnp8JcDi77OlTHNSKSSqHx8AEqkatanMeMm1S6PNzvDSxjs0ojHBk9YbmwN9y2HaI52LbL+TZsDyQIO4uDaSXOmnYmCtBamCHOWjMDZFAVrP5AHkrVhSwC5tO+k9PJTEg7o1GQLFlzihJnOdSITrXTq0TomRNdVp7n1Usw70WvzseBL09PD42WdANcodXmfBWrXYLgMZC3HAaMPFDhnyidQrbLccydF9v1oszHXoRIXNQ308mi1ZpO54NBerRzSOFovJ9/fIvVhcIsFAYgFN5MLgU9RxOfmS8AZ3YDNCCnMsQMwDlyxYgURnkesRvK4a7EMs126ehpfSZMgCJSnLHCiUX3lWgqAprzPsbJnJzJV7Ci29JxX/1VZ+PcNGYPq9bYtq+am+Wm01SvCDXSZcnU73od17L9sU/wOY5gT0JLSdkz48Hyr/DHalgTiaaSkvESkqQ/iAiC6Gchcc+sNF6IViWXeifCuqBbMoGuNyssjhzeZ3mbnNVAhCjitMZzAyERU1a3O+gNrllnZJvhnu60ip037UwK1nkrlYcN1qNUoVqRCXtVWKPSiXmFL+Cdlm4xK/0F0BUjIfKZu3+3G6+iUYloeRaZsqdF/Y0JNjYQctIzfomL5SLYa0ZG6CbGd7tLIDdMHjvTJjWQi9Nxgj9ygpZ/ffNi9vTkzafldKyQrCNm+IrDWfAHYveanTJC+RJ4+/OvhA+AMNwMULMwsnPB0zSk5FK1jU7wIYQRnnzJDwV1oqHgBb/nqaPmu3T0MhjpUuKMZapjFVT5RDXVnNR2oQooKL5y1/ZNY/qwbI+xUuEqs10+NdjlpaHJYUR8x6iOy+RuujF2xwwZBLBc1gqxYzW0HasCmWcptMEPsgAAIABJREFUIn2DnnK+brmvVXrPgXUQExcj0t6yBUedErEHsP9LMCsdzsp2eqvlTMdb3788/AUGqpV8otY3/iCVrsO2RKuFKt5hh+CwHw/1eaDgOe5SxPdzkHFynHpDFu2Bos1UlLoCyNuT03E0gp1ow1dDBubR4E4IAOIUifL1I/f6OgLhyWvb4VyajdduOt3o8X90DJzN+VX2jp2CxSMXS7XJL2s0+PvZtETrJGrWblrzx8cnx3758jrGMXrvLz+/m88P8SAgQ6tZm/VGhUCVEjuu7/geg1H/o+qW5mpB/QScYzAkmim1GtIrZHjKlZqhMFHpWOefcQvpimY4Qltd2Zv2jT99WNljdsw7a8uTIPl4+QcSeNuwO61DF49iTn+S0koqhhRa7FihtcL0cheQKj2ljFZ9EpLhHnpV0AJxHNKdPdGxUP1Vx+aZJR+6OA5P+eGsZDWQmBxhT4s49NLPLD61bUfCLihHqyDsArv7kdXYSlKn+NJoji5wDgWL+YZZ4WhSSwPQlio16iSWXeEapXTzi78gUixtZrL+uWojw1T+V7uihK3HM/YkFRayIFO1Ox9WnX6v63SvnDdhWya9KNhJqt0R8vsJh9V8/vCx6nE1hxYjpun482234/b6h5gCyKhf336YzyKBjIWe7bbZ8AcEeZEj84RX+Vw/BTdVKwP4+LY+MKH2O9iiBUJpyEUs27NdT++1MKGQmUU0la6kaQGNuBoz2UjYeuETlAHbFdqVoLR8wjIELukAJ2q367TmbCUsvDTfpdtBDmyP8+QL0bGgXp+7XEvPKeZaOAdOVnGTVfh16B4LFjoWdqj1Gk9RTkXFgX2ZvxqIyapWzaoh8th2WYtsOh08reR4sejFqhQCHC9VblSXiL4+79M5FKxzerjDWX3BWVkVXq/Py8+TY6NeMkMk5AiI96rCyWnIRCDCDgEnvVrUFtNljkx4J3+xY6bg4Sx1x+WAHFk7Di5UKxSs4JFasbwc9nk6vFJ30+n08f4Rb75QOPVYlsRjfEY4ZGg1tp/ff/z2d78FKanIqffvPkzGu6AMwl5CNHIycdNi04yEDlJMF+7nXtkIc4sVvhRmYsQqwF4IplKGEnVSvXOnVVfCFSmk5nfd5+usOEQWMbNElSMU1/qg6CxnbIPu1XTjTaxBWzyudpf6Ktg/SJAGbFr+PhzdIT18p1gP01WD6hfpPPlydCzd6KU88MIcKXcP//JMVglgqLASzmq7cNx+t9eZTR8W80kilyTwsYpBo/LewFSYUMs+X3Hwkt+CsAtM/Ziy9K61ZzHuBFU4h4LFpFVoPQoIqnAD67WxirIggqHVzINqwFbAf9YiIk1El4roAWelIIZMuCZyTQwYQlyd08weVbrc3L+t56/d6YR1KRnP+2gdYQQ5ChbxqB4f5KRSIiolv6TDQA73uTUTjXmzRMf6zbdfAfbD+0+PD3j8iome2YetcARtUJ1W892I97kID3RVuxMKhOhT9IEcikrXiQLlSExigO+K38L6ksByahJ+pUwaz7vqGibncB9jhnT4Mi5EfAl0Zj3W1g9w9J34eu8utptIA/Fpk1z5kB6veK9YLwV25Q7Fd1BCf9CxXgB/t68w9OLCblWjl1NYy9dA61VKcpgVZlZlNRAnLExH7D5AtYLpEi4u0e54WKnDjo/dGximi8mOCDVqNdBVRwey8SivrYOyOpw6K4bPaGc5h4IVVLjeG61U6TaurFSFSQoGbDjxAu+zRoa2Hp2JYCGCXi48S40FqiZZyXAmeqqi0fRRDQ69CRjLJ4F22ktC1cakWDrF2dY3fpTQ6ggjtB9DERCDk3zkE3M5fnq87y4Wy4fPt+1mgyhYXLrbK/7rGhhJHKNMSSLMU7Td5fIbvZROEOJa0ENo8TP07GwdK0STeevUkTMVsfCijGIdB8IzEEIM9T0lWSL5drzPEjiFlbv/YnSscgprYcWDDHBQmawibA3ept6oiXXdkqMsugRBmE0O4azW60WnO1ot5CRBGoWVQFGtah0WOFoRdmF3vo3TYW0wlcicREwtCPNnXC4sTXFOZc7wCmYFswsz2TNqpmeobC6KEoMkF06pl3sZRyGZYEISMQWMFhMpL0omnbimaq7F/cHtdnT16GCB01WSVHogy39hrwI4geEqCKeOGR1XrWTBlBSzmoHu6eNH2D3qKocVxfno/G4GKIWC+pPO8gkeJrti3aXvmugEO/D7nl/r/BGuRvheZimLaObSi1RDQ0R4rFWschhFtftsxJDHyxidpkiQJMLX0MpYe9Oa/ey1N2p6UrznfbTP74HvaMombZ+Rv3+3OhYsLKVawepwOKvlfLrALS52+RzB+uh0BkRCXsxntY4MWT3g6EBZDSSeFo5WhhI1RqF6RE94xuXCkytYsIYaplXcNI3OwZwHHFr9dErVToKaEvXc+WRuOBcNwhoRnQyhdBmXSUhFgRuCZyQ3Q/kr3vKJxoCmovwWDmZ6I19rGhMMwekK16sAMcqX0bnAZjUTzkPWftGAERAgKntjhrAs1NT8x7d7Kthk4hF10kasJMhwinCePk9SyY4fBlL+3rtada7bi79uCNUIaibHs6LPILiA1zujYEbh3OT2ur14u3G2jogZdbGM2Fy2do85ld/l3xfLxaJf7nQsYjecT4AakJXIIpWm83EdoblI/9VXAn5WAjMsqhWe7Gg2hLOaT8XnITWzmKy87Wxx73Z6bneAdSs1W6lEiN2HXXDwoOfUClJKQcjK/FzLhSdXsFzXrRDDHbZqpQp+0eS1rABmsV6ngzGrJ+UXfKa3Kd2upq4Y8AMUweSSPsZOXPeUOp4Io7dcsjFmMOibjGe0fb13gp55f3e/mB/29NGFmvIlbmbByq6MIkPxnxYIBFx6IxhxyShTNj2l3pzdiFWKukNmGit91JMqvJf/At4fip3+To7taTe9xlofLa74GThjnbMlD1U1wZrJzwOY9DuMK82VHWhX0ihkLGS9CU1pCHc6lnXpOpbigPTFCr2QUqVMVvBJhbNao9bwb72aLzMPt/F3jlb7BlouZkRM4ExADgesQKpuIj5rMVkRc4EFQZYj27bu+2ntVzWN5ULYcublwpMrWKUsWChVXDCQdjqDUhVrqcqdIwbnLI8iXRBDVYVMOo30P23nZ+wcYyzZQ0/XCPZvL+UvVLIMd//uXbfTYaEQsoSr2eqqdsOif3IOIEcFhqvBp4DDaTWFV0YWpGJoYo9zjzZRxoywESsDUCEBJ88AYXH668ZZQ92FRBpaTxWq95NAItFjax5aZSq/XfqsjfjNQxyovc5aBspz5EWEJrqoMR2K/8L8/cydV/LQ+Ie7vPzRd0rHkq8gdZZO9N1lPSmOltGxRK8qsYdZuM2hgfR32+HUqDaGKAwaqTxQOTmVO8XPihOdEX19OXd5nFU8FSaJyiODSKHEmHEJwq4VgKzMR6ZTBb1cqAx1BkFAjsRHkLCjIRwLAA0MntIrqDzVpv7HQqxUXhNQqei5C8EoNSvUhlfP63vRJpPOBVxV5GZFsrUlY7t999NP3/7+dzh0CgsOUn5HifxRWpfuKrefb9erhF/ClrMsiyiPvweeSqJdy60AxgFlVd80X1b58ul7heB0fammOtH0e/cOGlz+u4Bru0LjbzTohqEpQA36KsaM4ytUiteq6QN7mwFy6fz8k0+68twvRVqEmHtre4O52f8idCwET0HTixBBjmtJEqlo5gPH1WC2Z2eghLParMMO7LEycrLN/nCbrDZCr5pMHnv9ER5ZBMeKQUg+Qq1E0rIdq+mwHOm4OxfYZM7aU9AxUDkwZZ1B2XgeBQvmapcXmVN8/xJ81SEJ9a72tjwFQEjlEsh09soSZgdCFImS87ppnZS8VKLTtMQz56Mjvv3L3775w+8cJ2yg3okU+aOqdH/78NOPv+w6LQ2hJmYmRLfddOVwQPkyLry0c5VALMP/CopL5Q5SWIWiDBfe9PsxhI6lmyFcn+fjmlCxtVbzhkSBCilYYerOeV+BE4Y6Fg2gxpRUuFyNdjRVIC2C5+6L0bFETGSZBmGjcaDQXfVRp4hlZLs927VXy+kyI5wVokmFs8JktZOBlE8y/fDO92eTx063zy4h/OIjvA49QK8Ku2BbbRezGY5WoZdnumX9gekeHYt1w5PO+6dVsGQIhdom8CAmkYqFX52Jr9loYqRmZ7yQNzA23tlNvl6oJhVQci3UMKeqU2VLW3IUn4rEGFx/s/41Rcfa5eL4v5/+9vP9HWFg5KIDE+cTpcrlNDUifRo0ALJQf68L98vZqzROfoGQaPvg5cXcGM6yleg9qnsEQ+Agf2INdxT4ShWKFuq+cV+9fHX79pHVmL1BVGiC4DOLqcqcyPsSUA0g3b+aBKpMU5TJ+knpWMhSa6aUvbQsl5IWYylc5CplsgKCfBZy8BcO7C1buUylq7Z0PK1amVQ+1iCL+dR2OH+C5cLHWHF1vg1hF+xmW60Glg+7EAN4zCPd7wzLhadVsDgxlxZFT4QR1Of8blXHNMBFl41NCfm0MhAlgyi7XPl5632LnUbsO+Wu2IAtV7habtgCkzRztI717R9/Hz5oma+cTx8/v/35nXwYbLd2S4xVjngjh+K8Z+PetcBuUinLkChcaUFTFpnmi2K47KeKddJNAO+SQ0C1fplVrRMzaPGw7P2p1+60vTkrzhERHe6oJ6bCuJNl0EE/DcaUZAlEVrIBMiCkJB8a/3CXkq1M0p3l3zD6Lz4GKXXSHZUbPtMCkWJSV+xVTMQqSmd3vVlOMxzYAbULZ3VEoFAaZrNashdxMHqBQUvbhzg40CZwfxOhSRD2o8IumNTXPM+plwsjo9ecrPyctL1eAdTLnOhV+fkv4W2p/noBBBvIl32VkHRKyzluXr+AOp+NBHSsdz/+9M3vfsAwBdLpZPbjX3+ajCfoVX2n1ZGTsMzWAXeTCqqb+lI0aLTCOtKUarGguDXrwFZITl6G2Dd3XtbTvWMUwAi4lvtpIQ1EPlEKTkeKMeS5tZjNX7y8vvv8gG3UXJ82RnCejOpLINCrwJnbBGVoqrmRlI6Fht24cDuWcmBXHdqMk/R6FCt0JqfTJezBcjZeeOmrzsBLrgaWaZF4XlyyZuOH3uAaD3pRrls6CLu7n5Ti+Z/xWS8XEu4AHbT25cI6FaxgBRAq9QogUeq/CO2K1s2Xv8/Y/Kmo6aZKZ1JTRyjHvvtKulyhV1/Ibc2is3KtvcXi17/++Oa7bz9//HT78RPn0rwaHkK954NVrbBrApVTtUNtNasNUH4tanorfKgJFGCM674fCebDQKytz7ROJGI9tNzTspqffvn0zR+/+/RnAmfHq0yNZPifeHDHsVZoQqVa7UithdoaaMqsRuCPdYE6FjzkOqwGqg5ATXL6gJqCV5xtg/940/Pmk8xwVqVWAzPZl3jB3hHCLnB0Yad/gx899CeyXFACnCSYFOoKzu+yilrfdayCBUFc0AOJKFVc9dH2D0jpHJBxFemvDD6xGbMGq/WqWqe0dBqMU2ucXI1xVsqYJNRbLt7++78jGkbd0Km0WcB3IgQ5QvsALAkvq2TpdOCDTWHJLHsh8qxWI1ZxnQI5rtsgkztpLzjxqZCraeWOTVu3Pfe17W282edlp237Ht7trdnnhfOf7e6N25Djl+KXSQeIlynzXMzofGiqGXZNoPtqfn6TtweaDncm5czzXKCOBSPFahWR9lIh1QHEtV1OJo1ehLPCamW72Nl7q2VmOCsKaZMVClYUwLFPxHqQYwpxtLLZGyhhF/R1hi17R5KOagWpLLtxA4ePhKYie1XyMgsCK0ABGlUW4+gWx1N5ZCXNiyc7sXnZ8+dEncJVkHHHqS0ymcso0R3i2G5Rb11UL0UgGlJ1KtFpVKk0reXw1ZgBIug20go5elVtNTMCZJQpo0YnSIYcww5QFfm+GeoQOCWopcGtDiPQa66MloyT1dv4Xutmu/IWHXyu/tidPKzmt8tRo2+tmnefb1999/Lzv96qeO7xotT0RAK2eucJ9IBoMyhS63Jxq05dnINpzxeiY9GyXPnCRz5dEP8ccKJ0LJi83qzokDiwOy17McuMR0XO/WpgGguqp1k4WrXazhZPq07f7Rzs/cEaHKpCtGtUR3aikppUTFkoNpWXC7VCSXEUNVMLFu1NMe16AhGgL+QUi5pZuteJuPMfHqxuBZpfDSfiSrAlJDJ1lZgczsQsZWyL0JiF+LSiMwureboosSLShE4aQhdUGmRR9WqrWW2AzGt9fM4cIxaHxG62hGaVMHhFiNIyqGLC/UJhVARdL8QBhnnNHNjW377+pxePD+PVz8YHUEYp8R2cv7zJLxuv3bDfeENMVlt/9mHZbbsf3n7807/86YP90d5mSGmorbKJJErB8U+hVsgCpvrAETpWWuNn4Toy/Xl1LHiZarJKrRRcRRTR/wk9hXJDOCt82XMOt0GCcbgNl5JaqSCrJEIy2InAbrUdtg9iwOLoMEd9AATgGFOswZ0hLEKAsfINpKK3YIVD4Sm7XKhVKxQkrfnQmhlDV1HHawrwy0WraL3KnG7KLhaHU0TMCz5LTnOpen7y4CSqLa0Akai2tDoXY0l5YJ+fnHIYkY1FCkg5gGfOjVbFAQ5eo8mBztZ2dTPqQsCz9xYI0P0hyY0zTkZJ5CVSNg2v+brZajbWnzmHLhx4LAkkUicqrnPAhHq6Vgh8KVWAYTm9n73+6vVff/q526gSzseSoLa+BLFuOt5H72kxH33dWbje9NdlYywS1x61/IeEH5aqPyWFE/WwYMfzECeSrRBP0Q1h2AqlGBvBdKDpcBfJUPfDs+hYyHdtvzCujcwFdBEOlukOrmeTh01GOCsAnmo1kBjhbafBsQPtDn70KCWa+OFwOJvNUKeCFJ2O2oF1gG4D2cbVfJ6M8JbmMF8upKbkp1TMqJSiYIWncxiBavU8VTwj1kBknxFnASpI0g1BPloBjSpWIF2u1i1wY0grPZrQdCbRmU+/TNdMWTurFN9jrtsfdPscUNj6H//2ZwYPb2aLVdfN1waiSGqrmREgo0xRAs/wlKoO+q6/3q6aa6dl6AWyH6V1qVVZFU/dPpKVeXa3+O0/DZo9q1EcvDoFBvYKpqeV0pJazdZ24a3nlt2xXvyxM3mY3z/cDl72xrczziZMKawUfbhSF0NMO480hGyyKYtX6VglqT3QdLhLZUW9iVrHYrzPo0sE9WIBGrw0N1lp7MzIfGXLd5/tWnSZmZwAiPkKSMqmdaCR9I0nC4JlW+oAIuMOBxWsVgRhJ/QDqlVSNez1evP5HFLRUcIwmMjQRVCzkjNaONsl3EM82hL0M/9yZZEUqFZMEMk8u3ELg5jO9VgF7uVXPlmTY1JqFFLHkEHZcEPQqKltRjYRcfJZm65lHUnD33FxveYiU8f1V7/pD4cykzSbo9H1u/fvH+6f8EQezzcdp634b8CnU04KEHk5/daAF7ssLAvCXzHJthpeY7v8uBy4cv5j5sUEpN5R35N092QbCWONFwrnjeVi2X/VW/68pFKZtch6sW3guNJo7j6fmpvW1c3g3c+fmj5mU5ZaxsPR1Z01bmefaVZXN0iyIU6y6vTSBNIQFZtCiu6/YeLw856LqcsrXeldYMc6kY4letU+jKwhgWpCWLeIv+521+slVqtgCuB45k53tFrsThLUq4GoVoaQDbMJyXivq0ihEoTdzQu70O12WRZEzeImDJ9JjdFvbhwKlz3/PTpWqkYIK0jnl+pwZREm9eSiwmQCFqpVjrKWBSWZDuITycMkrlpSnpFa3VTJhkDTLahaQsqhDxQUucTXF0UzrcGlvzeEWb1ub9Dv80F28/LaccWF82lqdlxmndUygmWU6Zk6AOMLrsqOuR/ay/6atY2GZ/VGzpYDYRIXZvO1tfWGjTlehpRUVyJXHQkZLNO2FhMELav1+ddPb75+ta52rs1GKVit3UhGr5o+TPsjd/upsX1nrRabbWNt0elyL9hDl83NctxLNSR0Q/B7HCxV2pDaU9bJpBboWN2GxT+TzIZ5RLgQwkB7fZiVoX3X69VyucDayd7A9WpBpNDVYhZoVwLG9zFl2Z1ew2ovVxv+1atdQXXb7rTdgd0ZdYY3/dELp1N8eiB+2BirJpNJrKLaiMMrWBF7dYGPqEYoRUzQepTxC+VoV1plyp+mmyhVXGSlFWusG9QAtkaAJwUFy+qtvgm19C3aCUbRVDSSagejhtjL0xMbr03qYJSHfpUjoXJeGUGvJxM9QF1Ag718oOthQ1p/MOB3MOjRXtcvRv1Bb772V+tMi3E99ESgGLHIKFME7LkfxOzh4pe7efl9b2Gv/Y2P+LWcmNixNg3/0Zp6V6v+183ud+25BCq86Gt6O3M7DvNwhcvfMHNZ1n4VhZ62nK5ZD/SbPsuC3hI/m7Uve1piXKqAKq9IeucR+636J/jrI8AQ1IGmw11eHU7zTnQsvx4di8bFxim2W0P9kjMaZV5Y4G/LSlzLdjjcBqsV3rfJutJATOKP9/eNJot3BmFlkiAyUtAGMVaJatUd9UY3veEVs1ZG3pRkZje+TtGxYooIBDPlsW7GlVLswpL0BM1kzeE0WrXCFGUyKE6lP2oiLoxLmeTQ9U2YlVne+IWMMRVpg6ZioGkVmKaKdb5CeMAR2fclXMLYS6UUNqr5Tfyu9pcEQwr4ynBylDQZDgck8mow7F+9uHpCycqfJw4wAmD130CDpvYs2I6mn5XBVoNo0ltvO/quO5+vYX6r21SbmqgHV1NU25E3fO2sl9v7D9PBC7t5Y2HQOhp3GoBcrineGolHf9aYzSb2EF+y0lqI5Vk+RiyJ9aDLso8Cl7StDnm6nTTW643VLgYb9IS0ehakJdhw0KvEXlW+UgX4eK3MmXnZDjQd7vLyn/IdOlbvCB2LCiDqRY9QG5XMKBVtabGc0/Btp0fjYrIi8kLMxUqDYjVwRZyP5Wa9EV8rlDCQ4RdlhigzF6OxpQxmolr1rvtXL7v9IT7tmQWyX1D9wWDAWiGViuVi7gMR2kIs/dIeIZIpm2laVwE+G1J46RUzrMaR2WCfOcsq4NIDDCyU1UpVBSBBEUhVoFJET0g3CLI//w2EZvTHlCqcgVzdEJCkGj2DNEXHYDBUtFtawdK0dbpuq/0CecfxE+nU1lmtOmGlU3vO1K01fN399NPkqz+OJtfN5Wzj9NvbJxyOdm2xJdqnvX38vOgM+BBvje8WL77ufX6c9Bp1fpRLjQ34auiU3Wy0Hm8fnV4LzZG5rRQ7mw1rs9za/fbmbstmd8oSLVjtoxedsr1ytpstJq79kM+DrfOoLp2XLfYuzAYRg7xWAyOWrfZHxdu4U3btWOoCeGttX/qibZfyx4KfZR3YaT5cdVCxJZxVu83Byducw21kaz+TflyCLedTp9Pr9AaLWXxtzoQhQrY4Wu3CLrDIogWmSdmcPP1+n/ANkIumEs7GhMj8SOJlLnlBG/of7RKQBzegFrJNzCJGn2hhdvzj3pwDSWMVjWTSKvkodpI0P9NlvQ2L8YCy1MTgbf03DAx9wUCu/E9zMrCJkEvT0e1Fdsqwtsvm5PpJjEMsZhF0Uql4uUt99pcN5Cxmm+nn1Ytvuqvl2u21V8rRakcyU3yLLVHYFBvdzuDp/aLZ8t03tvhs1XjVyjDYvxwvm22/ghsWbefNOSquTdAKXT+x4eGbzHYLpQSKsmX8uVy2M+zYoEYF5llBJLjiE3aNjA+D0jpWOGV3f2idw11KtvMmoWOZ+2OhV+nVQPOx6W09PMLp5xyHjKo9mz7KSclp2hXNhA/jUvlLJ7UrzRU8tAjn0+2PSjEJ7zAcrVp89HRG3dFLTmtGBppXoRAXYx/iMWXFcjInYspCa6kRVwxFhUet9vHLrA15AQSqQApaF1eQmHVzEgULmmSsfjlXje0KKO1ZJXMwIeDUhbZbI0M0KD4zvhwGPyOlNIhcev6AdZp7OQTRc7VcHw6GQSdmC/1g0A9KYY5fZsV4O++kALbzIgx4UOXGWuPU2nZHzurDdj4W7UosV9ZhBRAzAWFHMeosHr3vf/+d2+tMPi6uXrurVnxxoQr68mWEur3+yv1CrAsHagN43lo77QX9JXhTfOMt0NWbnI+zy9rmgN6tpewl6FkkyglYxpeiwKhH6EEhngZUbKdaGaOpKWOKjnWg/XBXE7ZjwRSuFcJSMXjswxaa4EOlxc1usZijktmdPvsEZ+P7JRGt0iZQ1KnVmqXDNV7Xae8jCDfr5Xo57w9fRFIzHsRMg6OVM7S7V/2rV/3hlYn2kAEsLznL7Z0eqLUWrBJ55c/yTltGtGrF3J2KE2qhOWaNS+YsVsGSZQpTaJuwxleY/9kziHw57qJJuIABqHrVqSRdoAiEfvLtF5JyWukZ8EdNHGUbV3aSox+7nUj4ALyvnp7kZDj4PxunS8BalR1TFpWt3vl7iGoObFOiSi3Gy+F17/HTZP2r77U9/FJ6rQOfyUTKdtMY+u58Ort+Pbr/y0Pv9bb7lbP6ZcOiSQ3Em/J1h0oPN37njVXjhUQgchaRNQ7pEoRjr7ol3l8xnBs+jlZYsTh1p2OtZpywITzx1e7CrWQwJloJh3x5toOWn6kGRhuBiKzDGtfSCPQJMmHHumEDQqOxUKupAQZYynxcinwqzt5AZA0H9qFczedjfehNAPNw4zdYCUSp2jvq8cYIFZ11O31Cx5oS0CG9uVkNbFtNm6Ag7EB03eKNgQeqqt6hHmi3dzFmRzs2agNvubLUmqo4TcuBmnZkzyD6U2EZsmF7Q2WE7KyFqZNYQZicviwFq5CVqRnoHNpYpdVYZasSWyKyODV/3YkpbRftrnUjrA7vPAxBL9pdNIG+mKSqUY12Baxw2dEQfyy5VjiUsrdLP5zqN4I6C8kuE/0tSmpW/nOnq9aANtUWmGNEk1g8Ltye41lbHNlstsp5kXNymEKwYHGofcd27j/c3bx+gVq+ztUhAAASyUlEQVQ2fbcc3NhrJ/1TslyljPiaApLlP/c3eFg1G8sUEGhCGzaWqnW9lML5SRKRYtu0RXH3bI8V0tUTfFFfay5rRFgthI/5MMJvgZOaX7WG/JAhY7oNgznfvchLKhipYuThfKQYYBI7FkdQ6jXcvclKHNgNyuosmKkwWXk+tlz2JrdwYJfzbdJ2cjAcWA1cLFmjEg/2PQZzVPjzeSw1DoYvUAD3xeUvhLPZsOVwBCZ7A18Or192QqcHhnOe4h4lBrd3thYmY0Jp80ShZah2qlCtQMrQYB5PUpWFjvzE+sK2QvHUPOmpqVn/AyemyqOs+tI5NDdh7qmNVVk0CMGMsmDEZeW7jPSdAK0kIExqEDSfzBw1Xfd3d7brDIej3j5KHkuEIGLszRJhXXY4S8i9GqgMY7uwvgCfhCK5EhVdT72G5YnBJvmO/VYc9ojhpt1sbBvzu0Xrhybe7d69tb7ZjL5zZ39bcaRMAuTJE1bbjfUKFWoz/7C5cjphVYAqbiy/1W0sphttdipLDedbehufQ8tEuRz4xL5qr2zLlr2TrWFjiTVr4zRK+vtBFU0QsF81h7SHpi3cc8pSe5r8OsBv0Isvj8BotdGxXjaylO1o1tCTdBXUcCIqYStqO4v5JDXggi5B66Nb8xsCoG9LMwdT2eTpvj+8Zl8Ouh2aFdsD2VfCmmCn29cLLwks50jgRB3c3rWRIowPFmnLkF6GC786xb22WjGVc1WDj1UFNqKfJe1e/1CwhKWB6Mnhr24GMtD8ST7mFDzVK+YwNUnFBlwgpU6FtwpcJDvfT1q+x+itAm5XRs8bZs1XDo2IQg9nTA7TZPyPRqN+b0AH6HY7n95/NOkt5dDFc5dmkZAk/SFNZ4kDP90z7SGUI9DzWLSypp/m7FBS9p4YwSgFqAVEypDO4i8a44dHbANtqzX9ZT34we282fqfj6C/NF8F19rymq98fJCnH9bXtgRFCyiQeg4b9tAiLtr63u9W2cROlRurR1YHra21bXWs9a3XQ19DznQ27F5aftqO2iXVqz19Aal5zbHP/Lx/aW2oRS3cS4nnJScPu2wMbDYfG41vt62nxnYcXStMLamcuFeUIpxVc+vlnMfMCGZ+UYuBsaGhAR/6Xiqi7EQCPTwQHRTPd8+3iFbqpp1vk138VG9YJUyN9k6PPcPh0Mh2GhP1qLJqFfBFK4XoWIAKLxfWr2BBcRhBQMGXeIOxCs2UGkF8Lc1QKxMqD7ZaqTADVp/g1K0hWBmEqULIjKKCXPRhdCwC9tLut7e3Dw8P+LzzyLBPL3ne1khiq4/D6fXLThVjKv9Jc6Q5gMcKtvym94GDkUW0pTZg0KitRuv+355cdYhye9l++suivT3CAzbJshhlaY/qRGp/s1rPPm5e2KOQciWfC95w0xo0pk/rzcN22EL3SgNRlCYdGmtpwyZExXqyshaIHGKDbZtDH/OVs3axZhXBiLw/jBA1RiLvDJ13YmVO/ajqR2dAcwla/9Q4y8KHq7GYC2+b3m+3rOTm6ViYrPjHyTZ4OLEvBgf2LLw4sGO4wXSTOiiySpml7xytVht/eP2GL5Y0w5gZpBPk0j5MHA6NY1YMPIaMwLwUe3XMI00JWH6R7TVyG1AQjNLGAAayprB+BQsEx+uDx7CvbNmwPNoxRXGfdPXlcdifWRbySfMz3gU+Yj4mfnk8nd5xbJVitBqD2zcSNatxSOSgR9TxtYdGpfPwgfLw+DAeP6Vzt2q10ggohpWa4+xtrvUqZTWTJimNXwqhWxxmVKkWQNcffGezP5Vi37lpf9d7hsVBzBOLp+XmqaFsV9AbUgpxmbI281vPnjpX0dA+ac2amhZpySZn506IsSaJXtMjHPf0Hr2tRK31KAkPkAjBCVGRStMzJkJ5jOBnJCZArfUqzdsgUd/8nKFjUREVzsonBjrnIbMamBpwQQNB3VFWj+RqYAxbpLfE3qU+ik6Ic5+sBuJh1eeMZbKJIU3FuE4t8iyJ6AzYMnDJSrq9o0ugr5AhUFmOoZBGBJRqnTr39YdJgk7qgilLE3wSBYuF1TDKC7/XQzpsrIpZ+S6W/tJz2jPXpIKA2BVhSJy5suvZdN3vudstHUOzDRIYMxjXF9PFyRhZmkUHSuL6yuFNrXcxveoY2CwISeh2BWJXcaDjzb5Xq44BHi1bla8cNdid9yxbVKsoRElp+63X//Ti078+xV6ZPcYBUkqYqy685lHxW6s266OF0Ha0wcrEKCFFyzcFvBDSc2Q41E/uwgQ/BzUHnPCNC+3qkJR2p3Usgu9P1FohrlOr9Yr9G3g44WJVsBqI2sWCkmq1AjT7jpFGQkoaNisOD+TYHAeB1e2howSZmN2w39SlsgRgj7yBQrQrdCzsWGFqARusviF+kz3cEC9NSa3JfAb3HuwyYEHH4qZ+BcuwwheSTWvHEEO346rcfmeuDnTy+Z9ivlIfqWfWReqvO6NBAX3G5sCOMB9P3A4G7J0JAX8sBozt2B4ON6uQXbNINBrzxwhQTiZenazp93oVlamvVZS7VcgmZMypchlzWGYAKDzFUnXm3GAllOVODlPy7Qdc8uu97LW9/uh3mSOzr/0oMWmQU3aNbAqL36Q1jWLy6XtFNnFarwrYm51x90Z0LEyO2829tyK4i9PpE+eTcOpZBdVqoGwPrW8kBajkgBvOe262CbkgjlaptWCm47vx0nQsSMXtnbVCNCG0k6BK3MAotCsIhnKEcPhV4T01BaCGUJi5xgx6fTNvANeI7KJAwXF9wXTxKNT22ZLN9rw1oi/qJUK9yvK8xJhgV6KkSMpTJwWLzCdTFEyI3eXxlpxUMXcc8RYiaTbdBSDmmxA3VGIfac/cEhCPzpo2Hx2A7r+E62SerrtAPFWj5NfpULsLuQsrhd5c7FitXtMfc1OKwILcgHV8V3aGpF27RlGtkvY+kka7Sf46O0UEfvWHCA8iD5rmU/W4bIpZUSu2WUWLM9+zGvjvDet7u99qOx/njxixolkOT3hZ4cDOVbI1Isw5gAvfCeWoVnbLQa0axBSUcEZ9r9UUsp3BopPEnpOCBYtPWS4+XcLZ6AyQio7F3M2UHX6VdU9OVCtq+lx1RLuoWcGiSrrlsur8jOkYqyAPWQOFWq/SxJB+/pF8PB8MxtzxSOqCoIjlJ02u7GYLUF1YM2DEmj4+9od9PLHoM+wp1OyA4E6/s5zM6uKOglNLe+r1oDroEn1BHKRO3SbAh58nxFILXzM42twQxGhq95vbpy1LMrFc6LtEZCf6AnIn+qoiTXqkAKo0u07N5Gj1yj+lMOTkHSNEJYzVjlahtOJbvs3XGwJjOmzK26xXf5nd/ZetS3jKu0RtqMtOtcr4ckyUCGPPfckotVqcfhCsBuqFsHD5rHtkGmYhdKxjlt6ygB+TjmqFSpTq9g6petGJmxwU5OGigs+lWgW01axgUSt0lwD6s98wciAJvYourvtTKkmlBVYqlDMnMi19UWuEyImQfrWbLBA4F8t8CGv5HpECbl6/XC6W9J+ghZstvBtqHDsFMlTjNckU4nBAbJmbwA4jM8GxwAwQm9TJAExWltOAp2PQffnle20xXhCZa731YloUb73BtvPSWS/Wk/eLnuWGlxqz6M1IDwZLlRbRPAhozkBx9uRD0xzuYkRkaCOxXEc9il5VJkYoyOCkhLPi0GJWA1v2ajnDh10T8d+txb9sxe5yZ+0mQWxVHC+IdlWl5QprhoOehZegI0c7d4lZGtPjC8tLXbSOhSLCfXGBc+VA7WPiHo/HxCPd9f49argJqVm2N0pxkefZVStNb42ThADEgpc8ynHPmfP91VwGH5MivM63KMba73xUHokpw+yv/GQvaKgor7B9Vfe8hr6LGs97+uJ/oXf+9Lh5cTWbyfogNPMpyr9Ww+/aIpzjBU72bIoJKSkdo2QHCCpStmAd9YWpcLL+/mDKsip1UGwWmjmcsGkTnSLO8E3Taw19TvvpX7nOHzr3P857nqumwBJk7TpYTR8hikSwx0mtUv8jy5jy4DQdQ6w+cpVVedUnuoSzsm0VzmqWcrjNvzZFx4LFn7fEYE+NFFqKd6mcgvQWoWk5vBC9Cj2PupQCGs5MHz5DxKkwRsN7JnG0KzbMsWgY0x21rQQdK+yShemObJejWulq1qxg0dL1C0qzBgE1TQKLIYAGuBAF1oz2KrlQpA4WlSoAzlNGjXwtAJACpZ0PzkNkDhaf7TcPn25nyyW7g9CrcMhig45ojdVlWgxdMaDiHCGQZDadQgO5/Bx6VUTzDtH/hdzCY2kWPPG28kWdoLpLmA9vznmLd8vB9/bN73vjDwt7gh0rkTOZoMYLINPgJnPnpUSw7RTZvPxnfxchMIkdDtQ7pwBNPoyCnp9EmZaiwllt2JLHprz1asHhNrtcCfIh+L9tp//idRZ+47b2vQ8sQ7MgyH44t9vp4boQ8QRPI9w0jekSfQXthMu0zOnz0UzoWKwVYrjhCiOEz9BMompMlF5xzOIK57mE+5oVrPNXCc6iV8FlE2PV+ck7EUaRvCIjEuP7RPgqgaVRZKsjl5B72bRmVFDmTeLRTafEHXe0XqVz1sb42gAFNdj1jZQ5f58lmF1y8uzznuxvpOLQLL2lRnoi4E9SCd2pUcC9pdckMH3oYn9Ys9eYz71Oy3V9e/q3lf2bbf+1u5zyTXTYMB8qsbuFCdwBOamwJTMXpiR5AGAUjGAXZCGEk2Q4kHW4y0GkaK6hb6BXMVnkIEq+glFE+UaFdlQ4q+Vs6nlR15+gndTHY7Aa+N8a0//a6PHyjhO8i65sLoTeiF6Fo1Xbxf2zd5LzbbS+ArEXpWNBDxYslsWY39nRneQlOtYl21MiciFJfakUbT0qVaRaZsSQNlZRnN6Q7+9WiKImaVaIp+YMWhYngQazZ/LVeVKQYyDaL2sEEsjYrHIeKg2xqIkf3TBisArJPUMwx2SrgI0iB74HuIOeUc/0HcC9vJsKLKtUCSQ7IbJWT55rRUQ/c/ny3rdWLXx0AOxazuod68obO+NMwd1YRhLV1zRZPBDtip5QH6JynMsiKxcKbIFF1ZhDwQomKxb3iDPMx7vtdPAxyQtnpRxRRLWK+ln9v40ZOhbVMtGxsmuP4MFq1W6yObA/OPV5zMykLLShshw5pWZXp+KbbreL/he4vdOmEEl/wGQFqSgeWS5ZFfHVV6xOBQul56Q2usBYBWfpz3Xh2km3+nh6NkgyifJ/JZlVN5FwUeigaULfx1HKkOnPKNmrV5hapKgr1eEdSkb5c0g/3BXnOOQ93EXIVQ2jukok+ZD7Ge5SqkW/gVJ+n4Gcqih9Tg/kWOpVo5VY+XM91w3Zqpy0Ywr1kAH5uWsNj59lJEaaPfJQ2AIVuofSq/gphH3IAJYNIVjkcJue7dprglkFq4GHXLs7yayCsEvzpWE5TseS1UDfIvJDt9sbOGnGmwRFNSQwqzKPX6COhQoFYehYV1dX1BO9StiuLr5zeMS+hRIWJNbAizpA1Klg0Sqn8HDXzmswjuvSNOs6mqAiDCWd9UbCihBqKCZEIFpoGf6PuYSliBzJWgPWM4OIkpxSrTPTY4BOrQRJu5BXGufLuOqh84wN1Gw0V7eb9srGSJLL4vhbrVqdrmXi+OLEEUMf0fGMVxGBaaTBLvhWyDSqRnOUU6ywQvn4zDE9N/CyarUcTg3MCWfFEjAHlbKRsHBoVdGxWMNtEISd4216qFbmYRfSeFYlDeMFTL40mxBNjx2LCA6Pj4/8xlZ7IVi76kM8V5Vqn6ZMm4hedTWhSe83rAWgoEoDhF91GatSsReO2NRSl5GInHoGOSntovQqkBPnJ40VVQRoGpznT6N7HDp2ndUqhlWcI4U9SuOVdAh/hr6RQlE8KbtaYVbHS5k9Z8M2K18uFx3DWRIOVGMt5jb5QSANc8qmMeEBBKCGJD6KylW/XG4TsoogKrIzdSzYW2U1UBYDV20MVhLOap1nslKrgbI5MLoamGq+CqqCjvV/WX0k5m2RPxb2KnHRazpdVgMrhV0IkB55g02IORebUObZ9kciKFMcXQplIHC0wiWLE3XQsZJ6CxYsErlOqjCY045yZf3www/fffcdrNSD37xwMidnCR15CmGwCKgbOImi9hRqTXt8cYYxbcJdz27bskgRl+zrTTylHr6p73QBLdNDPop0aQq3Tzq11FPNBJTDVJRerUSB4gQjQEaZdri0XkUJsSWqNJVyyom8uJYpOQrqpHoIxfJ7VwrcXVIB+OyCx7059JAUOGJS0XSdp/Mb80AIYxtkCsm1J0VoijyURqV5Ge3YFSKwgxe9Ch8epzNg3mExcLNeZhFDd5SYC2K0SstiUKH/avX+P38xT/scldJqNdBqub3BkDNu9v0lDdcZ0yCDiQat5Yw4I6gC1SqpMKVuLdSFtRbxvHM6Ix3t6pdffvn/AYiOaIFO77AZAAAAAElFTkSuQmCC"}}]}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_n8RgSZCmqRY11pY13zmC9GCq", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\ns=bpy.context.scene\\ns.render.engine='CYCLES'\\ns.cycles.samples=32\\ns.cycles.use_denoising=True\\ns.render.resolution_x=768;s.render.resolution_y=768;s.render.resolution_percentage=100\\ns.render.filepath='//abandoned_village_cycles.png'\\nbpy.ops.wm.save_as_mainfile(filepath='//abandoned_village.blend')\\nprint('cycles scene saved',s.camera.name if s.camera else None)\",\"user_prompt\":\"Set the final abandoned village scene for benchmark Cycles rendering and save it.\"}"}}]}, {"role": "tool", "tool_call_id": "call_n8RgSZCmqRY11pY13zmC9GCq", "content": "Code executed successfully: Info: Saved as \"abandoned_village.blend\"\ncycles scene saved Presentation Camera\n"}], "tools": [{"type": "function", "function": {"name": "get_scene_info", "description": "Get detailed information about the current Blender scene\n\n    Parameters:\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\n    ", "parameters": {"properties": {"user_prompt": {"title": "User Prompt", "type": "string"}}, "required": ["user_prompt"], "title": "get_scene_infoArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_object_info", "description": "\n    Get detailed information about a specific object in the Blender scene.\n\n    Parameters:\n    - object_name: The name of the object to get information about\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"object_name": {"title": "Object Name", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["object_name"], "title": "get_object_infoArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_viewport_screenshot", "description": "\n    Capture a screenshot of the current Blender 3D viewport.\n\n    Parameters:\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns the screenshot as an Image.\n    ", "parameters": {"properties": {"max_size": {"default": 1000, "title": "Max Size", "type": "integer"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_viewport_screenshotArguments", "type": "object"}}}, {"type": "function", "function": {"name": "execute_blender_code", "description": "\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\n\n    Parameters:\n    - code: The Python code to execute\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"code": {"title": "Code", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["code"], "title": "execute_blender_codeArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_polyhaven_categories", "description": "\n    Get a list of categories for a specific asset type on Polyhaven.\n\n    Parameters:\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n    ", "parameters": {"properties": {"asset_type": {"default": "hdris", "title": "Asset Type", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_polyhaven_categoriesArguments", "type": "object"}}}, {"type": "function", "function": {"name": "search_polyhaven_assets", "description": "\n    Search for assets on Polyhaven with optional filtering.\n\n    Parameters:\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\n    - categories: Optional comma-separated list of categories to filter by\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a list of matching assets with basic information.\n    ", "parameters": {"properties": {"asset_type": {"default": "all", "title": "Asset Type", "type": "string"}, "categories": {"default": null, "title": "Categories", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "search_polyhaven_assetsArguments", "type": "object"}}}, {"type": "function", "function": {"name": "download_polyhaven_asset", "description": "\n    Download and import a Polyhaven asset into Blender.\n\n    Parameters:\n    - asset_id: The ID of the asset to download\n    - asset_type: The type of asset (hdris, textures, models)\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\n\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"asset_id": {"title": "Asset Id", "type": "string"}, "asset_type": {"title": "Asset Type", "type": "string"}, "resolution": {"default": "1k", "title": "Resolution", "type": "string"}, "file_format": {"default": null, "title": "File Format", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["asset_id", "asset_type"], "title": "download_polyhaven_assetArguments", "type": "object"}}}, {"type": "function", "function": {"name": "set_texture", "description": "\n    Apply a previously downloaded Polyhaven texture to an object.\n    \n    Parameters:\n    - object_name: Name of the object to apply the texture to\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\n    \n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"object_name": {"title": "Object Name", "type": "string"}, "texture_id": {"title": "Texture Id", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["object_name", "texture_id"], "title": "set_textureArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_polyhaven_status", "description": "\n    Check if PolyHaven integration is enabled in Blender.\n    Returns a message indicating whether PolyHaven features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_polyhaven_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_hyper3d_status", "description": "\n    Check if Hyper3D Rodin integration is enabled in Blender.\n    Returns a message indicating whether Hyper3D Rodin features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_hyper3d_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_sketchfab_status", "description": "\n    Check if Sketchfab integration is enabled in Blender.\n    Returns a message indicating whether Sketchfab features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_sketchfab_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "search_sketchfab_models", "description": "\n    Search for models on Sketchfab with optional filtering.\n\n    Parameters:\n    - query: Text to search for\n    - categories: Optional comma-separated list of categories\n    - count: Maximum number of results to return (default 20)\n    - downloadable: Whether to include only downloadable models (default True)\n\n    Returns a formatted list of matching models.\n    ", "parameters": {"properties": {"query": {"title": "Query", "type": "string"}, "categories": {"default": null, "title": "Categories", "type": "string"}, "count": {"default": 20, "title": "Count", "type": "integer"}, "downloadable": {"default": true, "title": "Downloadable", "type": "boolean"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["query"], "title": "search_sketchfab_modelsArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_sketchfab_model_preview", "description": "\n    Get a preview thumbnail of a Sketchfab model by its UID.\n    Use this to visually confirm a model before downloading.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\n    \n    Returns the model's thumbnail as an Image for visual confirmation.\n    ", "parameters": {"properties": {"uid": {"title": "Uid", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["uid"], "title": "get_sketchfab_model_previewArguments", "type": "object"}}}, {"type": "function", "function": {"name": "download_sketchfab_model", "description": "\n    Download and import a Sketchfab model by its UID.\n    The model will be scaled so its largest dimension equals target_size.\n    \n    Parameters:\n    - uid: The unique identifier of the Sketchfab model\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\n                  You must specify the desired size for the model.\n                  Examples:\n                  - Chair: target_size=1.0 (1 meter tall)\n                  - Table: target_size=0.75 (75cm tall)\n                  - Car: target_size=4.5 (4.5 meters long)\n                  - Person: target_size=1.7 (1.7 meters tall)\n                  - Small object (cup, phone): target_size=0.1 to 0.3\n    \n    Returns a message with import details including object names, dimensions, and bounding box.\n    The model must be downloadable and you must have proper access rights.\n    ", "parameters": {"properties": {"uid": {"title": "Uid", "type": "string"}, "target_size": {"title": "Target Size", "type": "number"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["uid", "target_size"], "title": "download_sketchfab_modelArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hyper3d_model_via_text", "description": "\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n\n    Parameters:\n    - text_prompt: A short description of the desired model in **English**.\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"text_prompt": {"title": "Text Prompt", "type": "string"}, "bbox_condition": {"default": null, "items": {"type": "number"}, "title": "Bbox Condition", "type": "array"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "required": ["text_prompt"], "title": "generate_hyper3d_model_via_textArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hyper3d_model_via_images", "description": "\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\n    The 3D asset has built-in materials.\n    The generated model has a normalized size, so re-scaling after generation can be useful.\n    \n    Parameters:\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\n\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\n    Returns a message indicating success or failure.\n    ", "parameters": {"properties": {"input_image_paths": {"default": null, "items": {"type": "string"}, "title": "Input Image Paths", "type": "array"}, "input_image_urls": {"default": null, "items": {"type": "string"}, "title": "Input Image Urls", "type": "array"}, "bbox_condition": {"default": null, "items": {"type": "number"}, "title": "Bbox Condition", "type": "array"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "generate_hyper3d_model_via_imagesArguments", "type": "object"}}}, {"type": "function", "function": {"name": "poll_rodin_job_status", "description": "\n    Check if the Hyper3D Rodin generation task is completed.\n\n    For Hyper3D Rodin mode MAIN_SITE:\n        Parameters:\n        - subscription_key: The subscription_key given in the generate model step.\n\n        Returns a list of status. The task is done if all status are \"Done\".\n        If \"Failed\" showed up, the generating process failed.\n        This is a polling API, so only proceed if the status are finally determined (\"Done\" or \"Canceled\").\n\n    For Hyper3D Rodin mode FAL_AI:\n        Parameters:\n        - request_id: The request_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"COMPLETED\".\n        The task is in progress if status is \"IN_PROGRESS\".\n        If status other than \"COMPLETED\", \"IN_PROGRESS\", \"IN_QUEUE\" showed up, the generating process might be failed.\n        This is a polling API, so only proceed if the status are finally determined (\"COMPLETED\" or some failed state).\n    ", "parameters": {"properties": {"subscription_key": {"default": null, "title": "Subscription Key", "type": "string"}, "request_id": {"default": null, "title": "Request Id", "type": "string"}}, "title": "poll_rodin_job_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "import_generated_asset", "description": "\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\n\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\n    Return if the asset has been imported successfully.\n    ", "parameters": {"properties": {"name": {"title": "Name", "type": "string"}, "task_uuid": {"default": null, "title": "Task Uuid", "type": "string"}, "request_id": {"default": null, "title": "Request Id", "type": "string"}}, "required": ["name"], "title": "import_generated_assetArguments", "type": "object"}}}, {"type": "function", "function": {"name": "get_hunyuan3d_status", "description": "\n    Check if Hunyuan3D integration is enabled in Blender.\n    Returns a message indicating whether Hunyuan3D features are available.\n    ", "parameters": {"properties": {"user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "get_hunyuan3d_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "generate_hunyuan3d_model", "description": "\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \n    or both for the desired asset, and import the asset into Blender.\n    The 3D asset has built-in materials.\n    \n    Parameters:\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\n\n    Returns: \n    - When successful, returns a JSON with job_id (format: \"job_xxx\") indicating the task is in progress\n    - When the job completes, the status will change to \"DONE\" indicating the model has been imported\n    - Returns error message if the operation fails\n    ", "parameters": {"properties": {"text_prompt": {"default": null, "title": "Text Prompt", "type": "string"}, "input_image_url": {"default": null, "title": "Input Image Url", "type": "string"}, "user_prompt": {"default": "", "title": "User Prompt", "type": "string"}}, "title": "generate_hunyuan3d_modelArguments", "type": "object"}}}, {"type": "function", "function": {"name": "poll_hunyuan_job_status", "description": "\n    Check if the Hunyuan3D generation task is completed.\n\n    For Hunyuan3D:\n        Parameters:\n        - job_id: The job_id given in the generate model step.\n\n        Returns the generation task status. The task is done if status is \"DONE\".\n        The task is in progress if status is \"RUN\".\n        If status is \"DONE\", returns ResultFile3Ds, which is the generated ZIP model path\n        When the status is \"DONE\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\n        This is a polling API, so only proceed if the status are finally determined (\"DONE\" or some failed state).\n    ", "parameters": {"properties": {"job_id": {"default": null, "title": "Job Id", "type": "string"}}, "title": "poll_hunyuan_job_statusArguments", "type": "object"}}}, {"type": "function", "function": {"name": "import_generated_asset_hunyuan", "description": "\n    Import the asset generated by Hunyuan3D after the generation task is completed.\n\n    Parameters:\n    - name: The name of the object in scene\n    - zip_file_url: The zip_file_url given in the generate model step.\n\n    Return if the asset has been imported successfully.\n    ", "parameters": {"properties": {"name": {"title": "Name", "type": "string"}, "zip_file_url": {"title": "Zip File Url", "type": "string"}}, "required": ["name", "zip_file_url"], "title": "import_generated_asset_hunyuanArguments", "type": "object"}}}]}, "provider_attempts": [{"provider": "openrouter", "attempt": 1, "started_at": "2026-07-15T10:44:15.095613+00:00", "finished_at": "2026-07-15T10:44:16.782065+00:00", "duration_s": 1.687000000005355, "request": {"method": "POST", "url": "https://openrouter.ai/api/v1/chat/completions", "headers": {"host": "openrouter.ai", "accept": "*/*", "accept-encoding": "gzip, deflate", "connection": "keep-alive", "user-agent": "python-httpx/0.28.1", "authorization": "[REDACTED]", "content-length": "312482", "content-type": "application/json"}, "body": "{\"model\":\"openai/gpt-5.6-luna\",\"messages\":[{\"role\":\"system\",\"content\":\"You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\\n\\nYour result will be compared head-to-head with another model. Anyone on the internet can vote, based only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\\n\\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\\n\\nThe final published capture is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. The saved scene is also exported to GLB with geometry, materials, the contestant camera, and supported lights for interactive inspection. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\\n\\n## Harness Instructions\\n\\nYou are operating Blender through the provided tools. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. The saved scene is also exported to GLB with geometry, materials, your camera, and supported lights for interactive inspection. When you are finished, reply with the single word DONE and no tool calls.\"},{\"role\":\"user\",\"content\":\"## Task\\n\\nComplete the following Blender task:\\n\\n<task>\\n\\nAn abandoned village slowly reclaimed by nature. Weathered houses with rusted, corroded metal roofs; overgrown foliage creeping up the walls and through broken windows; moss, grass, and vines spreading across the ground and over the rooftops. Convey age, decay, and the quiet return of the wild.\\n\\n</task>\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_s9v2v9ySjVU6WCYi6Ln00BCX\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, math, random\\\\nfrom mathutils import Vector\\\\nrandom.seed(12)\\\\n# clear\\\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\\\nfor d in (bpy.data.materials, bpy.data.curves, bpy.data.meshes, bpy.data.cameras, bpy.data.lights):\\\\n    pass\\\\n# mats\\\\ndef mat(name,color,rough=0.8,metal=0):\\\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True\\\\n bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal\\\\n return m\\\\nwall=mat('Weathered plaster',(0.27,0.25,0.20)); wall2=mat('Faded ochre plaster',(0.34,0.29,0.20)); wood=mat('Dark rotting timber',(0.12,0.07,0.035)); roof=mat('Rust corroded metal',(0.20,0.075,0.035),.62,.55); roof2=mat('Old blue rust',(0.10,0.13,0.13),.7,.4); dark=mat('Window darkness',(0.012,0.018,0.015)); glass=mat('Broken glass',(0.12,0.22,0.20),.25); moss=mat('Moss',(0.12,0.22,0.07)); vine=mat('Ivy leaves',(0.08,0.18,0.035)); grass=mat('Wild grass',(0.16,0.28,0.06)); earth=mat('Earth',(0.12,0.085,0.045)); stone=mat('Mossy stones',(0.24,0.25,0.18)); leaf=mat('Tree foliage',(0.06,0.15,0.035));\\\\ndef cube(n,loc,scale,ma,bev=0):\\\\n bpy.ops.mesh.primitive_cube_add(location=loc); o=bpy.context.object; o.name=n; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\\\n if bev: mod=o.modifiers.new('soft eroded edges','BEVEL'); mod.width=bev; mod.segments=2\\\\n o.data.materials.append(ma); return o\\\\ndef cyl(n,loc,r,depth,ma,verts=8):\\\\n bpy.ops.mesh.primitive_cylinder_add(vertices=verts,radius=r,depth=depth,location=loc); o=bpy.context.object;o.name=n;o.data.materials.append(ma); return o\\\\ndef uv(n,loc,scale,ma):\\\\n bpy.ops.mesh.primitive_ico_sphere_add(subdivisions=1,radius=1,location=loc);o=bpy.context.object;o.name=n;o.scale=scale;o.data.materials.append(ma);return o\\\\ndef curve(n,pts,bevel,ma):\\\\n cu=bpy.data.curves.new(n,'CURVE');cu.dimensions='3D';cu.bevel_depth=bevel;cu.bevel_resolution=2; sp=cu.splines.new('BEZIER');sp.bezier_points.add(len(pts)-1)\\\\n for p,co in zip(sp.bezier_points,pts): p.co=co;p.handle_left_type='AUTO';p.handle_right_type='AUTO'\\\\n o=bpy.data.objects.new(n,cu);bpy.context.collection.objects.link(o);o.data.materials.append(ma);return o\\\\n# ground\\\\ncube('Earth clearing',(0,0,-0.35),(10,8,.35),earth,.15)\\\\n# cobbled path\\\\nfor i in range(22):\\\\n x=-7+i*.55+random.uniform(-.12,.12); y=-5.8+random.uniform(-.35,.35)\\\\n cube('buried cobble',(x,y,0.05),(0.25+random.random()*.18,.32,.08),stone,.08).rotation_euler[2]=random.uniform(-.3,.3)\\\\n# house function orientation z, dimensions\\\\n\\\\ndef house(name,x,y,w,d,h,ang,ma,roofmat,broken=True):\\\\n # parent empty\\\\n base=cube(name+' walls',(x,y,h/2),(w/2,d/2,h/2),ma,.08); base.rotation_euler[2]=ang\\\\n # roof two slabs pitched along x local, ridge along y\\\\n for side in (-1,1):\\\\n  r=cube(name+' rusted roof',(x+side*0.30*math.cos(ang),y+side*0.30*math.sin(ang),h+0.72),(w*.40,d/2+.22,.10),roofmat,.035)\\\\n  r.rotation_euler[2]=ang; r.rotation_euler[1]=side*math.radians(32)\\\\n # ridge\\\\n ridge=cube(name+' roof ridge',(x,y,h+1.02),(.13,d/2+.3,.13),roofmat,.03); ridge.rotation_euler[2]=ang\\\\n # doors and windows as dark planes placed on front/back using local coords\\\\n # front y local -d/2\\\\n for lx in (-w*.27,w*.27):\\\\n  px=x+lx*math.cos(ang)-(-d/2-.012)*math.sin(ang); py=y+lx*math.sin(ang)+(-d/2-.012)*math.cos(ang)\\\\n  q=cube(name+' broken window',(px,py,h*.56),(w*.13,.025,h*.16),dark,.02);q.rotation_euler[2]=ang\\\\n  # crooked frame\\\\n  for xx in (-w*.13,w*.13):\\\\n   fx=x+(lx+xx)*math.cos(ang)-(-d/2-.045)*math.sin(ang);fy=y+(lx+xx)*math.sin(ang)+(-d/2-.045)*math.cos(ang)\\\\n   f=cube('splintered window frame',(fx,fy,h*.56),(.025,.04,h*.18),wood);f.rotation_euler[2]=ang\\\\n  # cross diagonal broken glass\\\\n  p1=(x+(lx-w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx-w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.48)\\\\n  p2=(x+(lx+w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx+w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.64)\\\\n  curve('cracked window',[p1,p2],.012,glass)\\\\n # door\\\\n px=x- w*.12*math.cos(ang)-(-d/2-.02)*math.sin(ang);py=y-w*.12*math.sin(ang)+(-d/2-.02)*math.cos(ang)\\\\n door=cube(name+' sagging door',(px,py,h*.34),(w*.18,.035,h*.34),wood,.03);door.rotation_euler[2]=ang\\\\n # timber braces on front\\\\n for z in (h*.25,h*.72):\\\\n  b=cube(name+' exposed beam',(x,y-d/2-.06,z), (w/2,.07,.06),wood);b.rotation_euler[2]=ang\\\\n # moss patches along base\\\\n for i in range(7):\\\\n  lx=random.uniform(-w/2,w/2); side=random.choice([-1,1]); px=x+lx*math.cos(ang)-side*d/2*math.sin(ang);py=y+lx*math.sin(ang)+side*d/2*math.cos(ang)\\\\n  uv('moss on wall',(px,py+random.uniform(-.04,.04),random.uniform(.25,.65)),(.18,.06,.13),moss)\\\\n return base\\\\nhouse('North cottage',0,1.9,4.2,3.0,2.8,.08,wall,roof)\\\\nhouse('West cottage',-5,1.0,3.5,2.8,2.5,-.18,wall2,roof2)\\\\nhouse('East cottage',5,2.8,3.3,2.6,2.35,.25,wall,roof)\\\\n# collapsed shed / ruin\\\\ncube('collapsed stone wall',(1.7,-2.0,1.0),(2.0,.28,1.0),stone,.08); cube('fallen roof',(2,-2.0,2.15),(1.8,1.2,.12),roof,.05).rotation_euler[1]=.18\\\\n# roof corrugation bars and rust patches across visible roofs\\\\nfor hx,hy,w,d,h,ang in [(0,1.9,4.2,3,2.8,.08),(-5,1,3.5,2.8,2.5,-.18),(5,2.8,3.3,2.6,2.35,.25)]:\\\\n for side in (-1,1):\\\\n  for j in range(7):\\\\n   ly=-d/2+j*d/6; # local y\\\\n   xx=hx+side*.30*math.cos(ang)-ly*math.sin(ang); yy=hy+side*.30*math.sin(ang)+ly*math.cos(ang)\\\\n   bar=cube('roof corrugation',(xx,yy,h+.72+abs(.30)*.0),(w*.39,.018,.035),roof2 if side<0 else roof,.02);bar.rotation_euler[2]=ang;bar.rotation_euler[1]=side*math.radians(32)\\\\n# vegetation grass clumps\\\\nfor i in range(150):\\\\n x=random.uniform(-9,9); y=random.uniform(-6.5,6.5)\\\\n if random.random()<.55 and y>4: continue\\\\n z=.05\\\\n for k in range(random.randint(2,5)):\\\\n  xx=x+random.uniform(-.18,.18); yy=y+random.uniform(-.18,.18); ht=random.uniform(.18,.55)\\\\n  curve('grass blade',[(xx,yy,z),(xx+random.uniform(-.12,.12),yy, z+ht*.65),(xx+random.uniform(-.18,.18),yy,z+ht)],.018,grass)\\\\n# vines climbing fronts and roof edges\\\\nfor x,y in [(-1.7,.35),(1.5,.35),(-6.3,-.4),(4.1,1.4),(6.1,3.0)]:\\\\n pts=[(x,y-.04,.15),(x+.12,y-.05,.9),(x-.08,y-.03,1.7),(x+.18,y-.05,2.45),(x+.35,y-.1,3.25)]\\\\n curve('climbing vine',pts,.035,vine)\\\\n for p in pts[1:]: uv('ivy leaf',(p[0]+random.uniform(-.12,.12),p[1]-.05,p[2]),(.13,.04,.09),vine)\\\\n# back trees\\\\nfor x,y in [(-8,5.5),(-6,6.2),(7,5.8),(8,3.8)]:\\\\n cyl('dead tree trunk',(x,y,2.0),.22,4,wood,7)\\\\n curve('gnarled branch',[(x,y,3),(x+random.uniform(-1,1),y,4),(x+random.uniform(-1.5,1.5),y,5)],.10,wood)\\\\n for k in range(8): uv('wild tree crown',(x+random.uniform(-1.4,1.4),y+random.uniform(-.4,.5),4.4+random.uniform(-.4,1.2)),(.7,.55,.65),leaf)\\\\n# stones foreground\\\\nfor i in range(24):\\\\n x=random.uniform(-8,8); y=random.uniform(-6,-2); uv('mossy stone',(x,y,.18),(random.uniform(.12,.35),random.uniform(.12,.3),random.uniform(.1,.25)),stone)\\\\n# camera\\\\nbpy.ops.object.camera_add(location=(11,-15,10)); cam=bpy.context.object;cam.name='Presentation Camera';bpy.context.scene.camera=cam\\\\ndef track(obj,pt): obj.rotation_euler=(Vector(pt)-obj.location).to_track_quat('-Z','Y').to_euler()\\\\ntrack(cam,(0,1,1.8));cam.data.lens=48\\\\n# lighting\\\\nbpy.ops.object.light_add(type='AREA', location=(2,-4,11)); key=bpy.context.object;key.name='Soft moonlight';key.data.energy=1500;key.data.shape='DISK';key.data.size=8;track(key,(0,1,0))\\\\nbpy.ops.object.light_add(type='AREA', location=(-8,-3,5)); fill=bpy.context.object;fill.data.energy=700;fill.data.color=(0.32,0.45,0.55);fill.data.size=7;track(fill,(0,1,1))\\\\nbpy.ops.object.light_add(type='POINT', location=(0,-2,3));bpy.context.object.data.energy=180;bpy.context.object.data.color=(1.0,.32,.10)\\\\n# world\\\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World');bpy.context.scene.world=world;world.use_nodes=True;world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\\\nscene=bpy.context.scene;scene.render.engine='BLENDER_EEVEE_NEXT';scene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\\\nscene.view_settings.look='AgX - Medium High Contrast'\\\\n# ground fog-like large plane? no\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('DONE scene',len(bpy.context.scene.objects))\\\",\\\"user_prompt\\\":\\\"Create an abandoned village slowly reclaimed by nature with weathered houses, rusted roofs, broken windows, moss, grass, vines, and a clear presentation render.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_s9v2v9ySjVU6WCYi6Ln00BCX\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \\\"BLENDER_EEVEE_NEXT\\\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_otbflqLlIn9N1MS321DTkK78\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nscene=bpy.context.scene\\\\nscene.render.engine='BLENDER_EEVEE'\\\\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\\\nscene.view_settings.look='AgX - Medium High Contrast'\\\\nworld=scene.world\\\\nif world:\\\\n world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('saved',len(scene.objects))\\\",\\\"user_prompt\\\":\\\"Finish and save the abandoned village scene and render a presentation image.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_otbflqLlIn9N1MS321DTkK78\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\\\apps\\\\console\\\\tmp\\\\abandoned_village.blend@ for writing: No such file or directory\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_7E6RB6C3zV0Ohab0XexavM4e\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nscene=bpy.context.scene\\\\nscene.render.engine='BLENDER_EEVEE'\\\\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='//abandoned_village.png'\\\\nscene.view_settings.look='AgX - Medium High Contrast'\\\\nif scene.world:\\\\n scene.world.use_nodes=True; scene.world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); scene.world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\\\nbpy.ops.wm.save_as_mainfile(filepath='//abandoned_village.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('saved',len(scene.objects))\\\",\\\"user_prompt\\\":\\\"Finish and save the abandoned village scene and render a presentation image.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_7E6RB6C3zV0Ohab0XexavM4e\",\"content\":\"Code executed successfully: Info: Saved as \\\"abandoned_village.blend\\\"\\nsaved 715\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_ufoxdMEkZL4zaWObKwZ3EXM6\",\"type\":\"function\",\"function\":{\"name\":\"get_viewport_screenshot\",\"arguments\":\"{\\\"max_size\\\":800,\\\"user_prompt\\\":\\\"Inspect the finished abandoned village presentation.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_ufoxdMEkZL4zaWObKwZ3EXM6\",\"content\":\"\"},{\"role\":\"user\",\"content\":[{\"type\":\"image_url\",\"image_url\":{\"url\":\"data:image/png;base64,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\"}}]},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_n8RgSZCmqRY11pY13zmC9GCq\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\ns=bpy.context.scene\\\\ns.render.engine='CYCLES'\\\\ns.cycles.samples=32\\\\ns.cycles.use_denoising=True\\\\ns.render.resolution_x=768;s.render.resolution_y=768;s.render.resolution_percentage=100\\\\ns.render.filepath='//abandoned_village_cycles.png'\\\\nbpy.ops.wm.save_as_mainfile(filepath='//abandoned_village.blend')\\\\nprint('cycles scene saved',s.camera.name if s.camera else None)\\\",\\\"user_prompt\\\":\\\"Set the final abandoned village scene for benchmark Cycles rendering and save it.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_n8RgSZCmqRY11pY13zmC9GCq\",\"content\":\"Code executed successfully: Info: Saved as \\\"abandoned_village.blend\\\"\\ncycles scene saved Presentation Camera\\n\"}],\"usage\":{\"include\":true},\"tools\":[{\"type\":\"function\",\"function\":{\"name\":\"get_scene_info\",\"description\":\"Get detailed information about the current Blender scene\\n\\n    Parameters:\\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"user_prompt\"],\"title\":\"get_scene_infoArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_object_info\",\"description\":\"\\n    Get detailed information about a specific object in the Blender scene.\\n\\n    Parameters:\\n    - object_name: The name of the object to get information about\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\"],\"title\":\"get_object_infoArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_viewport_screenshot\",\"description\":\"\\n    Capture a screenshot of the current Blender 3D viewport.\\n\\n    Parameters:\\n    - max_size: Maximum size in pixels for the largest dimension (default: 800)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns the screenshot as an Image.\\n    \",\"parameters\":{\"properties\":{\"max_size\":{\"default\":1000,\"title\":\"Max Size\",\"type\":\"integer\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_viewport_screenshotArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"description\":\"\\n    Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.\\n\\n    Parameters:\\n    - code: The Python code to execute\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"code\":{\"title\":\"Code\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"code\"],\"title\":\"execute_blender_codeArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_categories\",\"description\":\"\\n    Get a list of categories for a specific asset type on Polyhaven.\\n\\n    Parameters:\\n    - asset_type: The type of asset to get categories for (hdris, textures, models, all)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"hdris\",\"title\":\"Asset Type\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_categoriesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_polyhaven_assets\",\"description\":\"\\n    Search for assets on Polyhaven with optional filtering.\\n\\n    Parameters:\\n    - asset_type: Type of assets to search for (hdris, textures, models, all)\\n    - categories: Optional comma-separated list of categories to filter by\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a list of matching assets with basic information.\\n    \",\"parameters\":{\"properties\":{\"asset_type\":{\"default\":\"all\",\"title\":\"Asset Type\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"search_polyhaven_assetsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_polyhaven_asset\",\"description\":\"\\n    Download and import a Polyhaven asset into Blender.\\n\\n    Parameters:\\n    - asset_id: The ID of the asset to download\\n    - asset_type: The type of asset (hdris, textures, models)\\n    - resolution: The resolution to download (e.g., 1k, 2k, 4k)\\n    - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png for textures; gltf, fbx for models)\\n    - user_prompt: The original user prompt that led to this tool call (for telemetry)\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"asset_id\":{\"title\":\"Asset Id\",\"type\":\"string\"},\"asset_type\":{\"title\":\"Asset Type\",\"type\":\"string\"},\"resolution\":{\"default\":\"1k\",\"title\":\"Resolution\",\"type\":\"string\"},\"file_format\":{\"default\":null,\"title\":\"File Format\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"asset_id\",\"asset_type\"],\"title\":\"download_polyhaven_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"set_texture\",\"description\":\"\\n    Apply a previously downloaded Polyhaven texture to an object.\\n    \\n    Parameters:\\n    - object_name: Name of the object to apply the texture to\\n    - texture_id: ID of the Polyhaven texture to apply (must be downloaded first)\\n    \\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"object_name\":{\"title\":\"Object Name\",\"type\":\"string\"},\"texture_id\":{\"title\":\"Texture Id\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"object_name\",\"texture_id\"],\"title\":\"set_textureArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_polyhaven_status\",\"description\":\"\\n    Check if PolyHaven integration is enabled in Blender.\\n    Returns a message indicating whether PolyHaven features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_polyhaven_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hyper3d_status\",\"description\":\"\\n    Check if Hyper3D Rodin integration is enabled in Blender.\\n    Returns a message indicating whether Hyper3D Rodin features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hyper3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_status\",\"description\":\"\\n    Check if Sketchfab integration is enabled in Blender.\\n    Returns a message indicating whether Sketchfab features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_sketchfab_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"search_sketchfab_models\",\"description\":\"\\n    Search for models on Sketchfab with optional filtering.\\n\\n    Parameters:\\n    - query: Text to search for\\n    - categories: Optional comma-separated list of categories\\n    - count: Maximum number of results to return (default 20)\\n    - downloadable: Whether to include only downloadable models (default True)\\n\\n    Returns a formatted list of matching models.\\n    \",\"parameters\":{\"properties\":{\"query\":{\"title\":\"Query\",\"type\":\"string\"},\"categories\":{\"default\":null,\"title\":\"Categories\",\"type\":\"string\"},\"count\":{\"default\":20,\"title\":\"Count\",\"type\":\"integer\"},\"downloadable\":{\"default\":true,\"title\":\"Downloadable\",\"type\":\"boolean\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"query\"],\"title\":\"search_sketchfab_modelsArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_sketchfab_model_preview\",\"description\":\"\\n    Get a preview thumbnail of a Sketchfab model by its UID.\\n    Use this to visually confirm a model before downloading.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models)\\n    \\n    Returns the model's thumbnail as an Image for visual confirmation.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\"],\"title\":\"get_sketchfab_model_previewArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"download_sketchfab_model\",\"description\":\"\\n    Download and import a Sketchfab model by its UID.\\n    The model will be scaled so its largest dimension equals target_size.\\n    \\n    Parameters:\\n    - uid: The unique identifier of the Sketchfab model\\n    - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.\\n                  You must specify the desired size for the model.\\n                  Examples:\\n                  - Chair: target_size=1.0 (1 meter tall)\\n                  - Table: target_size=0.75 (75cm tall)\\n                  - Car: target_size=4.5 (4.5 meters long)\\n                  - Person: target_size=1.7 (1.7 meters tall)\\n                  - Small object (cup, phone): target_size=0.1 to 0.3\\n    \\n    Returns a message with import details including object names, dimensions, and bounding box.\\n    The model must be downloadable and you must have proper access rights.\\n    \",\"parameters\":{\"properties\":{\"uid\":{\"title\":\"Uid\",\"type\":\"string\"},\"target_size\":{\"title\":\"Target Size\",\"type\":\"number\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"uid\",\"target_size\"],\"title\":\"download_sketchfab_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_text\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n\\n    Parameters:\\n    - text_prompt: A short description of the desired model in **English**.\\n    - bbox_condition: Optional. If given, it has to be a list of floats of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"title\":\"Text Prompt\",\"type\":\"string\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"required\":[\"text_prompt\"],\"title\":\"generate_hyper3d_model_via_textArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hyper3d_model_via_images\",\"description\":\"\\n    Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender.\\n    The 3D asset has built-in materials.\\n    The generated model has a normalized size, so re-scaling after generation can be useful.\\n    \\n    Parameters:\\n    - input_image_paths: The **absolute** paths of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in MAIN_SITE mode.\\n    - input_image_urls: The URLs of input images. Even if only one image is provided, wrap it into a list. Required if Hyper3D Rodin in FAL_AI mode.\\n    - bbox_condition: Optional. If given, it has to be a list of ints of length 3. Controls the ratio between [Length, Width, Height] of the model.\\n\\n    Only one of {input_image_paths, input_image_urls} should be given at a time, depending on the Hyper3D Rodin's current mode.\\n    Returns a message indicating success or failure.\\n    \",\"parameters\":{\"properties\":{\"input_image_paths\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Paths\",\"type\":\"array\"},\"input_image_urls\":{\"default\":null,\"items\":{\"type\":\"string\"},\"title\":\"Input Image Urls\",\"type\":\"array\"},\"bbox_condition\":{\"default\":null,\"items\":{\"type\":\"number\"},\"title\":\"Bbox Condition\",\"type\":\"array\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hyper3d_model_via_imagesArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_rodin_job_status\",\"description\":\"\\n    Check if the Hyper3D Rodin generation task is completed.\\n\\n    For Hyper3D Rodin mode MAIN_SITE:\\n        Parameters:\\n        - subscription_key: The subscription_key given in the generate model step.\\n\\n        Returns a list of status. The task is done if all status are \\\"Done\\\".\\n        If \\\"Failed\\\" showed up, the generating process failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"Done\\\" or \\\"Canceled\\\").\\n\\n    For Hyper3D Rodin mode FAL_AI:\\n        Parameters:\\n        - request_id: The request_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"COMPLETED\\\".\\n        The task is in progress if status is \\\"IN_PROGRESS\\\".\\n        If status other than \\\"COMPLETED\\\", \\\"IN_PROGRESS\\\", \\\"IN_QUEUE\\\" showed up, the generating process might be failed.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"COMPLETED\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"subscription_key\":{\"default\":null,\"title\":\"Subscription Key\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"title\":\"poll_rodin_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset\",\"description\":\"\\n    Import the asset generated by Hyper3D Rodin after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - task_uuid: For Hyper3D Rodin mode MAIN_SITE: The task_uuid given in the generate model step.\\n    - request_id: For Hyper3D Rodin mode FAL_AI: The request_id given in the generate model step.\\n\\n    Only give one of {task_uuid, request_id} based on the Hyper3D Rodin Mode!\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"task_uuid\":{\"default\":null,\"title\":\"Task Uuid\",\"type\":\"string\"},\"request_id\":{\"default\":null,\"title\":\"Request Id\",\"type\":\"string\"}},\"required\":[\"name\"],\"title\":\"import_generated_assetArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"get_hunyuan3d_status\",\"description\":\"\\n    Check if Hunyuan3D integration is enabled in Blender.\\n    Returns a message indicating whether Hunyuan3D features are available.\\n    \",\"parameters\":{\"properties\":{\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"get_hunyuan3d_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"generate_hunyuan3d_model\",\"description\":\"\\n    Generate 3D asset using Hunyuan3D by providing either text description, image reference, \\n    or both for the desired asset, and import the asset into Blender.\\n    The 3D asset has built-in materials.\\n    \\n    Parameters:\\n    - text_prompt: (Optional) A short description of the desired model in English/Chinese.\\n    - input_image_url: (Optional) The local or remote url of the input image. Accepts None if only using text prompt.\\n\\n    Returns: \\n    - When successful, returns a JSON with job_id (format: \\\"job_xxx\\\") indicating the task is in progress\\n    - When the job completes, the status will change to \\\"DONE\\\" indicating the model has been imported\\n    - Returns error message if the operation fails\\n    \",\"parameters\":{\"properties\":{\"text_prompt\":{\"default\":null,\"title\":\"Text Prompt\",\"type\":\"string\"},\"input_image_url\":{\"default\":null,\"title\":\"Input Image Url\",\"type\":\"string\"},\"user_prompt\":{\"default\":\"\",\"title\":\"User Prompt\",\"type\":\"string\"}},\"title\":\"generate_hunyuan3d_modelArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"poll_hunyuan_job_status\",\"description\":\"\\n    Check if the Hunyuan3D generation task is completed.\\n\\n    For Hunyuan3D:\\n        Parameters:\\n        - job_id: The job_id given in the generate model step.\\n\\n        Returns the generation task status. The task is done if status is \\\"DONE\\\".\\n        The task is in progress if status is \\\"RUN\\\".\\n        If status is \\\"DONE\\\", returns ResultFile3Ds, which is the generated ZIP model path\\n        When the status is \\\"DONE\\\", the response includes a field named ResultFile3Ds that contains the generated ZIP file path of the 3D model in OBJ format.\\n        This is a polling API, so only proceed if the status are finally determined (\\\"DONE\\\" or some failed state).\\n    \",\"parameters\":{\"properties\":{\"job_id\":{\"default\":null,\"title\":\"Job Id\",\"type\":\"string\"}},\"title\":\"poll_hunyuan_job_statusArguments\",\"type\":\"object\"}}},{\"type\":\"function\",\"function\":{\"name\":\"import_generated_asset_hunyuan\",\"description\":\"\\n    Import the asset generated by Hunyuan3D after the generation task is completed.\\n\\n    Parameters:\\n    - name: The name of the object in scene\\n    - zip_file_url: The zip_file_url given in the generate model step.\\n\\n    Return if the asset has been imported successfully.\\n    \",\"parameters\":{\"properties\":{\"name\":{\"title\":\"Name\",\"type\":\"string\"},\"zip_file_url\":{\"title\":\"Zip File Url\",\"type\":\"string\"}},\"required\":[\"name\",\"zip_file_url\"],\"title\":\"import_generated_asset_hunyuanArguments\",\"type\":\"object\"}}}]}", "body_base64": "{"model":"openai/gpt-5.6-luna","messages":[{"role":"system","content":"You are participating in Blender-Bench, a public benchmark where AI models complete the same Blender task.\n\nYour result will be compared head-to-head with another model. Anyone on the internet can vote, based only on the published visual outputs they can inspect: the interactive 3D scene and rendered presentation.\n\nComplete the request as well as you can. The benchmark does not prescribe a workflow or visual style; use whichever Blender techniques you consider appropriate. Make the important requirements evident in the published result, save a complete scene, and present the work clearly in every requested output.\n\nThe final published capture is rendered by the benchmark from your saved scene using Cycles at 1536 x 1536, 64 samples, denoising enabled, and GPU acceleration when available with a CPU fallback. The saved scene is also exported to GLB with geometry, materials, the contestant camera, and supported lights for interactive inspection. Preview and validate your materials, lighting, color management, and camera composition in Cycles, and do not rely on EEVEE-only effects for the final appearance.\n\n## Harness Instructions\n\nYou are operating Blender through the provided tools. The scene starts empty. Build what the user's prompt asks for in the current scene. Work step by step and verify your own work. Before you finish, set up a camera and lighting to frame a single, well-composed presentation image of your result — position and aim the camera, and add or adjust lights so the subject reads clearly. The final benchmark capture overrides the scene render settings and renders in Cycles at 1536x1536, 64 samples, with denoising and GPU acceleration (CPU fallback). Preview and validate materials, lighting, color management, and composition in Cycles; do not rely on EEVEE-only effects. The saved scene is also exported to GLB with geometry, materials, your camera, and supported lights for interactive inspection. When you are finished, reply with the single word DONE and no tool calls."},{"role":"user","content":"## Task\n\nComplete the following Blender task:\n\n<task>\n\nAn abandoned village slowly reclaimed by nature. Weathered houses with rusted, corroded metal roofs; overgrown foliage creeping up the walls and through broken windows; moss, grass, and vines spreading across the ground and over the rooftops. Convey age, decay, and the quiet return of the wild.\n\n</task>"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_s9v2v9ySjVU6WCYi6Ln00BCX","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, math, random\\nfrom mathutils import Vector\\nrandom.seed(12)\\n# clear\\nbpy.ops.object.select_all(action='SELECT'); bpy.ops.object.delete(use_global=False)\\nfor d in (bpy.data.materials, bpy.data.curves, bpy.data.meshes, bpy.data.cameras, bpy.data.lights):\\n    pass\\n# mats\\ndef mat(name,color,rough=0.8,metal=0):\\n m=bpy.data.materials.new(name); m.diffuse_color=(*color,1); m.use_nodes=True\\n bs=m.node_tree.nodes.get('Principled BSDF'); bs.inputs['Base Color'].default_value=(*color,1); bs.inputs['Roughness'].default_value=rough; bs.inputs['Metallic'].default_value=metal\\n return m\\nwall=mat('Weathered plaster',(0.27,0.25,0.20)); wall2=mat('Faded ochre plaster',(0.34,0.29,0.20)); wood=mat('Dark rotting timber',(0.12,0.07,0.035)); roof=mat('Rust corroded metal',(0.20,0.075,0.035),.62,.55); roof2=mat('Old blue rust',(0.10,0.13,0.13),.7,.4); dark=mat('Window darkness',(0.012,0.018,0.015)); glass=mat('Broken glass',(0.12,0.22,0.20),.25); moss=mat('Moss',(0.12,0.22,0.07)); vine=mat('Ivy leaves',(0.08,0.18,0.035)); grass=mat('Wild grass',(0.16,0.28,0.06)); earth=mat('Earth',(0.12,0.085,0.045)); stone=mat('Mossy stones',(0.24,0.25,0.18)); leaf=mat('Tree foliage',(0.06,0.15,0.035));\\ndef cube(n,loc,scale,ma,bev=0):\\n bpy.ops.mesh.primitive_cube_add(location=loc); o=bpy.context.object; o.name=n; o.scale=scale; bpy.ops.object.transform_apply(location=False,rotation=False,scale=True)\\n if bev: mod=o.modifiers.new('soft eroded edges','BEVEL'); mod.width=bev; mod.segments=2\\n o.data.materials.append(ma); return o\\ndef cyl(n,loc,r,depth,ma,verts=8):\\n bpy.ops.mesh.primitive_cylinder_add(vertices=verts,radius=r,depth=depth,location=loc); o=bpy.context.object;o.name=n;o.data.materials.append(ma); return o\\ndef uv(n,loc,scale,ma):\\n bpy.ops.mesh.primitive_ico_sphere_add(subdivisions=1,radius=1,location=loc);o=bpy.context.object;o.name=n;o.scale=scale;o.data.materials.append(ma);return o\\ndef curve(n,pts,bevel,ma):\\n cu=bpy.data.curves.new(n,'CURVE');cu.dimensions='3D';cu.bevel_depth=bevel;cu.bevel_resolution=2; sp=cu.splines.new('BEZIER');sp.bezier_points.add(len(pts)-1)\\n for p,co in zip(sp.bezier_points,pts): p.co=co;p.handle_left_type='AUTO';p.handle_right_type='AUTO'\\n o=bpy.data.objects.new(n,cu);bpy.context.collection.objects.link(o);o.data.materials.append(ma);return o\\n# ground\\ncube('Earth clearing',(0,0,-0.35),(10,8,.35),earth,.15)\\n# cobbled path\\nfor i in range(22):\\n x=-7+i*.55+random.uniform(-.12,.12); y=-5.8+random.uniform(-.35,.35)\\n cube('buried cobble',(x,y,0.05),(0.25+random.random()*.18,.32,.08),stone,.08).rotation_euler[2]=random.uniform(-.3,.3)\\n# house function orientation z, dimensions\\n\\ndef house(name,x,y,w,d,h,ang,ma,roofmat,broken=True):\\n # parent empty\\n base=cube(name+' walls',(x,y,h/2),(w/2,d/2,h/2),ma,.08); base.rotation_euler[2]=ang\\n # roof two slabs pitched along x local, ridge along y\\n for side in (-1,1):\\n  r=cube(name+' rusted roof',(x+side*0.30*math.cos(ang),y+side*0.30*math.sin(ang),h+0.72),(w*.40,d/2+.22,.10),roofmat,.035)\\n  r.rotation_euler[2]=ang; r.rotation_euler[1]=side*math.radians(32)\\n # ridge\\n ridge=cube(name+' roof ridge',(x,y,h+1.02),(.13,d/2+.3,.13),roofmat,.03); ridge.rotation_euler[2]=ang\\n # doors and windows as dark planes placed on front/back using local coords\\n # front y local -d/2\\n for lx in (-w*.27,w*.27):\\n  px=x+lx*math.cos(ang)-(-d/2-.012)*math.sin(ang); py=y+lx*math.sin(ang)+(-d/2-.012)*math.cos(ang)\\n  q=cube(name+' broken window',(px,py,h*.56),(w*.13,.025,h*.16),dark,.02);q.rotation_euler[2]=ang\\n  # crooked frame\\n  for xx in (-w*.13,w*.13):\\n   fx=x+(lx+xx)*math.cos(ang)-(-d/2-.045)*math.sin(ang);fy=y+(lx+xx)*math.sin(ang)+(-d/2-.045)*math.cos(ang)\\n   f=cube('splintered window frame',(fx,fy,h*.56),(.025,.04,h*.18),wood);f.rotation_euler[2]=ang\\n  # cross diagonal broken glass\\n  p1=(x+(lx-w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx-w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.48)\\n  p2=(x+(lx+w*.12)*math.cos(ang)-(-d/2-.06)*math.sin(ang),y+(lx+w*.12)*math.sin(ang)+(-d/2-.06)*math.cos(ang),h*.64)\\n  curve('cracked window',[p1,p2],.012,glass)\\n # door\\n px=x- w*.12*math.cos(ang)-(-d/2-.02)*math.sin(ang);py=y-w*.12*math.sin(ang)+(-d/2-.02)*math.cos(ang)\\n door=cube(name+' sagging door',(px,py,h*.34),(w*.18,.035,h*.34),wood,.03);door.rotation_euler[2]=ang\\n # timber braces on front\\n for z in (h*.25,h*.72):\\n  b=cube(name+' exposed beam',(x,y-d/2-.06,z), (w/2,.07,.06),wood);b.rotation_euler[2]=ang\\n # moss patches along base\\n for i in range(7):\\n  lx=random.uniform(-w/2,w/2); side=random.choice([-1,1]); px=x+lx*math.cos(ang)-side*d/2*math.sin(ang);py=y+lx*math.sin(ang)+side*d/2*math.cos(ang)\\n  uv('moss on wall',(px,py+random.uniform(-.04,.04),random.uniform(.25,.65)),(.18,.06,.13),moss)\\n return base\\nhouse('North cottage',0,1.9,4.2,3.0,2.8,.08,wall,roof)\\nhouse('West cottage',-5,1.0,3.5,2.8,2.5,-.18,wall2,roof2)\\nhouse('East cottage',5,2.8,3.3,2.6,2.35,.25,wall,roof)\\n# collapsed shed / ruin\\ncube('collapsed stone wall',(1.7,-2.0,1.0),(2.0,.28,1.0),stone,.08); cube('fallen roof',(2,-2.0,2.15),(1.8,1.2,.12),roof,.05).rotation_euler[1]=.18\\n# roof corrugation bars and rust patches across visible roofs\\nfor hx,hy,w,d,h,ang in [(0,1.9,4.2,3,2.8,.08),(-5,1,3.5,2.8,2.5,-.18),(5,2.8,3.3,2.6,2.35,.25)]:\\n for side in (-1,1):\\n  for j in range(7):\\n   ly=-d/2+j*d/6; # local y\\n   xx=hx+side*.30*math.cos(ang)-ly*math.sin(ang); yy=hy+side*.30*math.sin(ang)+ly*math.cos(ang)\\n   bar=cube('roof corrugation',(xx,yy,h+.72+abs(.30)*.0),(w*.39,.018,.035),roof2 if side<0 else roof,.02);bar.rotation_euler[2]=ang;bar.rotation_euler[1]=side*math.radians(32)\\n# vegetation grass clumps\\nfor i in range(150):\\n x=random.uniform(-9,9); y=random.uniform(-6.5,6.5)\\n if random.random()<.55 and y>4: continue\\n z=.05\\n for k in range(random.randint(2,5)):\\n  xx=x+random.uniform(-.18,.18); yy=y+random.uniform(-.18,.18); ht=random.uniform(.18,.55)\\n  curve('grass blade',[(xx,yy,z),(xx+random.uniform(-.12,.12),yy, z+ht*.65),(xx+random.uniform(-.18,.18),yy,z+ht)],.018,grass)\\n# vines climbing fronts and roof edges\\nfor x,y in [(-1.7,.35),(1.5,.35),(-6.3,-.4),(4.1,1.4),(6.1,3.0)]:\\n pts=[(x,y-.04,.15),(x+.12,y-.05,.9),(x-.08,y-.03,1.7),(x+.18,y-.05,2.45),(x+.35,y-.1,3.25)]\\n curve('climbing vine',pts,.035,vine)\\n for p in pts[1:]: uv('ivy leaf',(p[0]+random.uniform(-.12,.12),p[1]-.05,p[2]),(.13,.04,.09),vine)\\n# back trees\\nfor x,y in [(-8,5.5),(-6,6.2),(7,5.8),(8,3.8)]:\\n cyl('dead tree trunk',(x,y,2.0),.22,4,wood,7)\\n curve('gnarled branch',[(x,y,3),(x+random.uniform(-1,1),y,4),(x+random.uniform(-1.5,1.5),y,5)],.10,wood)\\n for k in range(8): uv('wild tree crown',(x+random.uniform(-1.4,1.4),y+random.uniform(-.4,.5),4.4+random.uniform(-.4,1.2)),(.7,.55,.65),leaf)\\n# stones foreground\\nfor i in range(24):\\n x=random.uniform(-8,8); y=random.uniform(-6,-2); uv('mossy stone',(x,y,.18),(random.uniform(.12,.35),random.uniform(.12,.3),random.uniform(.1,.25)),stone)\\n# camera\\nbpy.ops.object.camera_add(location=(11,-15,10)); cam=bpy.context.object;cam.name='Presentation Camera';bpy.context.scene.camera=cam\\ndef track(obj,pt): obj.rotation_euler=(Vector(pt)-obj.location).to_track_quat('-Z','Y').to_euler()\\ntrack(cam,(0,1,1.8));cam.data.lens=48\\n# lighting\\nbpy.ops.object.light_add(type='AREA', location=(2,-4,11)); key=bpy.context.object;key.name='Soft moonlight';key.data.energy=1500;key.data.shape='DISK';key.data.size=8;track(key,(0,1,0))\\nbpy.ops.object.light_add(type='AREA', location=(-8,-3,5)); fill=bpy.context.object;fill.data.energy=700;fill.data.color=(0.32,0.45,0.55);fill.data.size=7;track(fill,(0,1,1))\\nbpy.ops.object.light_add(type='POINT', location=(0,-2,3));bpy.context.object.data.energy=180;bpy.context.object.data.color=(1.0,.32,.10)\\n# world\\nworld=bpy.context.scene.world or bpy.data.worlds.new('World');bpy.context.scene.world=world;world.use_nodes=True;world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1);world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nscene=bpy.context.scene;scene.render.engine='BLENDER_EEVEE_NEXT';scene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\n# ground fog-like large plane? no\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('DONE scene',len(bpy.context.scene.objects))\",\"user_prompt\":\"Create an abandoned village slowly reclaimed by nature with weathered houses, rusted roofs, broken windows, moss, grass, vines, and a clear presentation render.\"}"}}]},{"role":"tool","tool_call_id":"call_s9v2v9ySjVU6WCYi6Ln00BCX","content":"Error executing code: Communication error with Blender: Code execution error: bpy_struct: item.attr = val: enum \"BLENDER_EEVEE_NEXT\" not found in ('BLENDER_EEVEE', 'BLENDER_WORKBENCH', 'CYCLES')"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_otbflqLlIn9N1MS321DTkK78","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='/tmp/abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\nworld=scene.world\\nif world:\\n world.use_nodes=True; world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('saved',len(scene.objects))\",\"user_prompt\":\"Finish and save the abandoned village scene and render a presentation image.\"}"}}]},{"role":"tool","tool_call_id":"call_otbflqLlIn9N1MS321DTkK78","content":"Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file C:\\Users\\gruku\\Files\\Projects\\Blender-Bench\\apps\\console\\tmp\\abandoned_village.blend@ for writing: No such file or directory\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_7E6RB6C3zV0Ohab0XexavM4e","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=768;scene.render.resolution_y=768;scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG';scene.render.filepath='//abandoned_village.png'\\nscene.view_settings.look='AgX - Medium High Contrast'\\nif scene.world:\\n scene.world.use_nodes=True; scene.world.node_tree.nodes['Background'].inputs['Color'].default_value=(0.015,0.025,0.02,1); scene.world.node_tree.nodes['Background'].inputs['Strength'].default_value=.28\\nbpy.ops.wm.save_as_mainfile(filepath='//abandoned_village.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('saved',len(scene.objects))\",\"user_prompt\":\"Finish and save the abandoned village scene and render a presentation image.\"}"}}]},{"role":"tool","tool_call_id":"call_7E6RB6C3zV0Ohab0XexavM4e","content":"Code executed successfully: Info: Saved as \"abandoned_village.blend\"\nsaved 715\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_ufoxdMEkZL4zaWObKwZ3EXM6","type":"function","function":{"name":"get_viewport_screenshot","arguments":"{\"max_size\":800,\"user_prompt\":\"Inspect the finished abandoned village presentation.\"}"}}]},{"role":"tool","tool_call_id":"call_ufoxdMEkZL4zaWObKwZ3EXM6","content":""},{"role":"user","content":[{"type":"image_url","image_url":{"url":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAHRCAIAAAAdQ0qqAAAAAXNSR0IDN8dNUwAAAARnQU1BAACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAAADZlWElmTU0AKgAAABgAAABIAAAAAQAAAEgAAAABAAIBGgAFAAAAAQAAAAgBGwAFAAAAAQAAABAAAAAAkHjvvAAAAAlvRkZzAAAAAAAAAAAA2iq2zgAAAAlwSFlzAAALEgAACxIB0t1+/AAAIABJREFUeAHsvVmQZVd573mmnIcaswbNEwIBlgxGAoRBKJg8EGDguq/D4R4i/NARHY52t8MPfsHR7if3ww3bD3bbDiL62oS5vvjS4Wvc1wzGEiDMLCRAAgk0IdVcqsp5OGP/9vln/vOrtfc5eSozqyrFvQux6lvf+n//71trr7322kOuU77xxhtnZmaGhobK5XIpl6TsdDq5mp6KywL3ZBmsgvCuprvBgtpEFXbpZvXOpG03vN1uE1iWSqVaqdTYWRhXzrobYGnwZgq/u/FE78jRheWI2V3vl8XWarWq1apNHB6aGGECM/5yhch/ubbgoznhxQi3wbbrJjE8kV/DCPPBSENIsWrLCLcE7Eo3xpAi4dXxHj0Wyr3CA6wI+wAKCfPKnbS0j/ed0OaD3J6mT3gQbi/C/py94sz7GoQnb9WLf+f6tbW18+fP11hdMS/roru6uipexaGILQ8PD0vDHN1oNJAdbpR3HlkvBuJkIehanBK2i4MIin8Q5K5g6B930a4Q7gqJF1iwsXDmmnxF11jb7nN1nc237Mmsry/nTuByOxNyBxNto/KKBhCd5mUdVukJKUaSRBir8jyFGkyYL8gjVSFSyi1dwJPMJ2ZLgvdZD/7AgQOVSsVIhAsXLszNzVmj8KL3WjcBGB8f37dvn5ESzp49S7sSZSziHU7RRr3k6AhNL1je8LI0eEkc5c37uN7SNs92JTRXKMI+tIWt6N8bsPW6pvQ3LPS1u8pBWnrVgkyC0eSg9iYxgBwZGdFpO3bDW2sHbt/oluyBTqc+f/7x/5iYANaFvjZ2YPz2XyhXNy/6mCw9/6XFMz/cIMn+xYUnk/3794+NjcXaxcXFhYUFNFNTU5OTk7EKeXHynsr4kUQ5dPpfhiqtRMmaJy4/VJvMPygdDODDhw/XaHyz2aQC+3q9LjNa+N73vvdnfuZn/vZv//bFF1+Uklw9Rbg333zzwYMHf/jDH66srBw7duz222//5je/aXPjd1cgQvoRTh1djoqEAb2AJw0I3hXYZYW3Kx4HIaETuGwISXewRGX8ZiPgyqQd9rnNfdCvTJjbZ3WEUPiIR2VCbUyi30kRd9BG5hhAlDm1Od9ZdchdrOoTABMoZ9+v//qvv/DCC4888kgf5GVVeT6R1ejo6Lvf/W7u306dOvXYY49J6XmNyREA0w7LLMLmbvDkyZNgANjp7/zO71D70Y9+1BpqWVdx1ZyenmbmJaeKjmLa1XzlCypTM7NZfr2Vn1VNrsuGi+rMAbvUVrsi9HLaHRQFryZw2stkV+LJk8hdHKLGJN1ovYQt49wSkBD2KfahKow8UvWxjbBty4Pwbxnktr0nhjEY5hPOGk6uj3zkI8vLyyD//u//3qeVDLMzvVqbvO3dtVp1ZS272rzn3hvffs/x//MvPscZmoCpZYKiLSNH76kdeBXFX33wdsDf+dH5v/7M04svfjOe8uIn12Sim6g3vOENwjBpfO1rX+NkB0AV6Y477piYmGAN8/TTTzOHVMaP7T92x7991+23Hp8+9fLyJ//lx2cvrtQujE6MlO677z6mixMnTrz00ksspGBg/nn1q19NS2nymW5C2SsYhZTNs8lR4VaPtd7b3/72e++9lynsb/7mb8AogRSYDuXmTxPZuXPnPvGJT6jHuXL/yq/8CjPXT37yE14+fve738W9rC5evAiGNd2RI0de7qbf+q3f+sM//MPf/d3f/djHPkZH8DwN89e+9rXcktIj4HW0Npxn/8IAm4/Hu971ri984QsPPvggwdALunjII0dI61ab33PPPbQL5qeeekrzLLl80V8ERi2RP/fcczaR8PM///Mcie985ztEzuGhUa9//eu///3vx1tnkBwP1n80ARJWpadPn37Na15DPxDJ7Owsy1D0r3rVq7761a8m/C6qb128ooLPEBbqLLP28rtC9YMCVhc5+F3voj6HoE9VPox4zchHm9fkGS5Loxd/g9MamTTK+rx3WsQsw6jmrHnzm9/8la98xacnpyEjn5MIDMsvPWfiHowzBSULl+uvv/5HP/oRZ3SeNmqYMR5++GHOUO7uWNbEmYs4SZykzHGc/siEiiPiiQxMAslZSW3XNFtkML1yJsocW2SUajKTHqsrcj/FFy21AqiY5IVVuEtgFAuRediua/r4LYwzCbUXZttxFsZTqLSLPjH0NzTDrghb+uoTpwLYkqFXnFsy9zJM9AQwINU2Qv3VX/1V3oZxpnOZ46z813/918Q7xYmx4bvvODQ1NvTE8xfqjdbXnjhTKTpZZJiFWq5wLh09NP7++285enDszhv3/+jF2f/vu3niTQ0XaE5tylyImSuIxFMxGq7RLGmYlJaWlt7ylrcw24D8Xz70uhuOTPLsZXp8+H/9N3f/wf/zTZSsf173utf9+Mc//t73vsflHjzt4oJ+0003sa5g9mOlxQSYzD8YKskpeY3/Mzu7Q5nCmN2effbZZ555hoAeeuihn/u5n6PIMyqmS2BCwktLCBE6lnh/9Ed/JF7Whqy3vvSlL73//e/nXpPuhpD2IOOIyKBlqcFaCjxz2Zve9CaEu+++m9mNVSfTNLMw6ximQvAf//jHqaW/rrvuOjrrySefpNMVgNzRbNrMaoapGRKqCJUYmJ2ZPb/xjW8IppwVJ7Tz8/M0EB7uxVlR0YnIgFkJHTp0iFvnaIJMLd6ZlFkn0TQWgm9961ulpyqCmZ2/+MUvPvDAA4TKapplGQCODZjnn38eFxSpSqwiA3JsXVK1W0VcJF70npXnWJuPAnbL2ZXhYWxAnLRiF131Ykbf//A5BjNEvJWGXROB3mM8F/ZhjJbYYsDMEpybnLmc0dzPyFzxc0v36KOP3nXXXZx3v/ALv0AtJwun4Xve8x5WPExq3CyaOc4nKKXH8Jd+6ZdYhP3BH/zB7//+73P6cKJxUjMFYatICAbX5NwCwc+0wPlLFVMeJy8zDHd9n/rUp44ePSqlchZ8mJAImCZwkv72b/82N4Sc6ZyMYJSQWT6Sq3MQWN4RRrLe2oD3+xdf+Wo1M9EXIhPM4MVCF4ObG5kdko2ZLYkwKdrkigp9nDrOwgD6GBbid6hM3OVji6dMoa+EwZheegMGFwakygefdxGpOOt5hcUVnKsqpyEPjcBzcedyfMstt/AwQuazi2tfeuzkUK3y4Buue/bkwnOn5hv19TdxPP5grmCZ4au2+B984/ULy42hWvnRp8698dUzI0Pr7144Q7m2aomjx0vETOJ2jrnohhtuIBLuA+UXPQJXf2YYpj7WIaw3mHOYuNrjQ3fcsG9lLQuD83Zm/9j1MxNnn68x+ciWMJhwWLRw44dTPLK6oor1Fl4gRIaHB0M0nLWQbiPxIvNsqo09hT0LkR/84Ac85fvkJz/JfPrEE09wh8riRgbKmeCSotqA+fHjx8GzFmFyZNZjhiKxcsI3cxZTJLeYeoD0+OOPg+TJEK0FSS3B0AvGywUR69kSsBgqtWJgmYkeWzqap1Osh8Czksv6OyTWbSzION50DYkw6BeC5HqgwKglsGCRieDhB8PUzAoMR5wnyAhJgpMhRc8wj2u6JyQWl0TFEeV6QJF+SKySYuzVKyTTqDwzw4Ehxhpr5ynpwN0tKjx6kuRQkz7cedHMOxdiMO6KndNeLoNdIzCAiSpqLEdaIQGTpOd84e6C05PzjhPZYAY8j2Y56TgvOC6cwsw1FGHgNozTCne6rcQkzifqHJR8jfD1r3+dSeYv/uIvePTFnMBZz/qGKsztiMUWUzbnFHdu2OphFec7dzVvfOMbWbq94x3v0AKLmy7detlWTSYwrgSckpz4hK1a4qRWvljYIQBDILf5DgW11LnY1LfO1eHk20twqhX2sm2he3plWWSAvzCwHfbMTsxjeHm5MFop+zvtYzh4FS6SkNyrhQLgXlENEnMv2+3pk8gLi+4KXHDK/8mf/AmTwOc+97lPf/rTNBAlpzMvl1hLxBgmxmq/9Nabv/rEmTtv2hcbzOdGnLwJGMNarfLtp8596bFTc0v1z3/zxUe+t/7EOltVrK7iV6ur6AKZuzvWIZxZulKrlqs8z9hYgZEzS2jJsdZsN1ubgSDxBpP4meL++Z//mfUPKy1mJ6YCOgGGL3/5y+JnfiMAMbMyoQqnWl1JqbzMjMmERYEc3G233cYqgdaiYYbiGRprC0FZHDDlETTzGvMmvn/2Z3+WXmYG5I0fy0/NR8xcwFhpsUJktcGDJeZEVn+sPwhRN4VQAaYWc5TMdKwN0VBUFTDwngEVALlWZi5iCwmR4xQl5pbztgBEi0BsuCPHBCQd6sDoKfMjaCIGJivR0gkJjFqCUSuoJSq6m0sFDxgp0ha5xmPeMLq70rK6iPAKHXEh5b+df49FVxTyXwmlDg3MV8EpLuxuJ22JJDHsqB+cHwYGsE6BPlbREXh8De6Ok4Ux/MEPfpCbNh4X4YXnUn/6p3/qJ+SMdp3ynCAMcsCcyJyMuGCwUcyfMnE+gZaThaUPt8Kf+cxnwMeGMJdRZEKUwD0P8dMcvYjnCRa3mCz4CABD7jU56aI5Uyp4plQmVs1yuCZgpmZmLawAMPXRRnnhdsgnKWHTHLEN3l3Re385HhSQvVwksP6cV7l278TcK5J8h/RBqqv3YIf3iZkGXsOAOadYx/Dg+fd+7/c4j/K9zenGvVm5Un3gf/h397/+2N9/+bmT55d+7tUzz59eOHfm5ImH/y9Oz8RKt2fjtzz4wX/z619/8gzv2G45NvXdZ14GNvfE382+cMm7KZSeTD70oQ9xeyY2VjLf+ta3mBN4uIOGuzKesfEKi74iZtYSrOdm9z/44V9+xy+++eZGq12rVr7x5Jl//08/HHruE6+5/QamMqYC7tyYDVhXMT/ceuutXOLREx7TEY+ymEBYCMmdcwVDMVsJcNh05JigEZg9IeX5E9Usrby6oigAwTHjQMoKkc+J8Mq0xexGxHKAe+YsZMIi8bRQ/KrVAdBcZhOqfGAkuCgr5YSLkIwkkeDUyChbKUF+kel0oooBUIWGgBMTscmp5/1CF5iLn+ECksQMjhIwOUWY8/yJO5CJ5goVk26UFzqRlVGtU2pcpSh2oXFqCP2mrits1y64uZRCvi7VbafUjXq9rxX5NuJngHFuXpYhp5KsBgxaq7d/+qd/wlD3bTwq9uoKEj1n0iDX2eHbO415KaM7cRI28wnzFFMw3z3wHEskRuKRXgKGnhyZdRVzjr2znMKF5k0A+rLK5izvUFLk3ASDF+56weteU/0vW2Rg6KUUg7ybTVQu7rpQyB/jiR4LwRFwdeReYag/C2OIJn1ghbZ9lJG2D4yqPkjF0yuqPob9Pe68tr/rXgHbb39zw3oJffg5kbnS/fEf/3HhVRtCzU48R/nRUz/YPzl8+kK2PPjxiTnukgrd+aRrLZ76wjdfuPeu43j/9lPrD3oKTTyZ8OaKVZQwnPJMO5o30CAwV7DM4oaKR0J6ioT+Hx55/scvzd9+/b6Xzi4+9uPzejigezaejvN4iEWReo+FGk/iYWCFw+Isrh9iVATj7tp8ggUCFhFFtGQMbIMmv+TMm+xQI4/RkTQ7pN25OWHQS7E3CjkFK6waRNnrQAxi2x+z5ZWVZWz1FbXGiu3l5MwG8aWP0LY8WJGhjwytqBL+PiaDVznIyyXf8oAWxnC5VkTVJzCCV/zC9EEqGONV7IVPYMmTV6xohaeIQhLGg5sfJz4p8zc8CUkSgKn2gqAOj5EkwceqKyfnw+jjqxAcw45yH55rVVUYv4LZs5HHmKMc+3DL4PsDqO0FwKOdlitD5aHx6LfUaTdXN7dZUVU0qQxPlsrr312V+Oq9VG43ltrN7PlI9LjpolzWYstemCKEBJNUgWmVR8qV3Puc5lL2df2liXkmTiaqZI3l+UeaGDzuLqGOdZeSp6W8pxSx4zLB0C+X60hW5Dv2349A/PEAF6K3BBRaXWnlllFlj2vLpaGrvsbalaOm1mnYxJZGeds9vCskvbybPPaDlb2stq2niwqnjF6ERBUDMyxRJifsgPEnJNEqyvn1EGHY1oJjSwSm2kSTN0niBx8DSMyvbTEfWL45inBw5DZalCfvQ9IHrOALm9DHqo+vK1HVKxLCLoxcMfSyutwI+7gYkCpZDdhqh8xZ4we45nbajc5aupzKn3GOCqFdz3ZYSJJ82aMFwQpPcw4BqeiZU7PwMVr6zrJLXdh7feLHY7rASlpyJYp4dY9wS8rHSXixBpl1H5jCxsR4wKgoISkWIqPyiso0h37PH+kr6nRAct7d8CJ5S/BwqXykU7rQvf+PRwdDilET5S1pAcTjFeXE1gc00Q9eZCBxFBhIu3UgoOpzOg0e2IBIOpYmkNMVuCYVGvJkPn9A40HJy9LwXk/fdBfS5pU+WBYSTHLI8EKiCYKpCQkmYdhTRYInHo54POiMJZpwFVoh7wRgwbI0Ud+n3xIwkXMgui1Yb8VVaEuf8PpXOXgOQWyv45fQn+Sa1DpaCd1BlDVBRUJS5BQLm4BSYbvWGuuvTrsUcBb3Rop+FZ5ic6gRcM1lolYMG+Fn/0pDwLxG9KqLoqv6hL0lRr0BA8jNBdbYzGumbn9Xh0dwbTaizN6zIFRe+sxweZXBoUUPNswvvMvks4nMuPutdBfZJtA+SplzYmPF608uCWoMJggktUec+cdufVqbr4IkUeY1CWDXi7SXxsZ5edddRMJ8A6WJufF0L4ta97n1JnHVWqfEn7xf6HanlYngonm2Idh1tC1URsCWMrExXDkWDFQOx64ss67oMU2a7CJOOVPIaZGujm47iyS+uKSN1iDkD4o1EpRDyLmc2Eae/rLDMyyvocrdrlYIQwA0hGTbPSsQqptA8HQXOUkBqyHkJDfBtdKomNlsWFkwCUJURjaqXJRALkHml5vjiGNBTrKtD8dOmM2260J+qNAEtUK+1JZux2RDC+WuNCR2UdZf3R5TjgsJdpQU3QkCxKikAe8ktkiFHFsN0oR2HTVXWiYeUt6LjoIakq+VlQwLzfMmV0KT9J5cEDm3pvwFHkUA9LZWJjsJAB4urzBDQns3P3I/eOt99937My+dW2KziusOT7APGLdqL5xmB4omezy87W1vwz2JfWX4Q2uuWPzVDxtKwQKOnSfYvgIlGxl8+MMfRgmSj8geeughlHxYyl8J8beHXAz4k59vf/vb+gpezXCnExOTV+FbACFfQTm97HbFsPOHGY2VFjCxbB40yNJbGcmRox5ZKdFzvAbsZP5sgc8Q+XmRly85tROfe71Ie0mMLq3mfb+yjbjpz8TKh0l6itI4x0SyDUUSlXlaaxBInE00AQESzhGfvSh1NwLA/IMLTASckvw93eAmO0ESZIyThjA5qB9UpQbuxMXObeNxQVZROeQSiHOttTpUzn46jMQfDaGRDAbZB8stQiDRTPKdB7lDBmIgwoSE+BlX5OjJwZDruKDZC2EnAcexFKtohRqitsQqTBKlWmqMapPGuojgZJOdCGIrZCASkhoCABmwBYchZSHDVVP2OhAKoNuOzYbko3JbqNqyObCZQcwUpSSP5knR5HZnsARy7jZ9dWDRQjGeJlw+BrxuctT0Xg6n2Z/YkJDYDeKpn8zqC/+X51bHRmpT49ljKnYsZVXkdxC4AczqChbN9VQxxaBkiwf+Qoddo6hiSwz54Dt8/q6HSZyXEXx4H/8sERMnplrCGLABtrqigg6bXEiOedQjEzy16kkEesbFwiCFlKFkcgmF+F1UXpaXVb4q7JQOd0rnNwf2LsZy9ah0qWBkagDrRPIBtZAEpL5SLVWYkxKMiwIrx91l9bNJthQ453XaE5VOQFqEpv8014sWEuJ0A3vBroRerRCz2uIwaEusHcS7bQEjK5ncDDoo1FqDYGU8ZJKVx6PZaDWWq/O1fZ25lytTpWkmrmTWgpxBsh5B15HMI3n0vkdkwsv3eWyLOgqNkFetOXhUF6lLkaWx3pEkGust9Dp59+ABImaHnR8htDSbiTbmIoqAlQPeU83ptqPgpsIHi1ZoHrNGJhSloRhPQIrqEOmRrcl31PY07KDOioW9ET7/+c+z7Qs7g/Isia2J2TaBvatYxtx6660sv7TdeuGfEypy8s1XhK12Z62xeVvDBaLeyDbXYUdydrlIAmXNxBOpP//zP2cPrne+852qRWZRxfakWLEmk5JbZHqQB2Dk/DE2bxITqiyI7l5WO+wmN0kCXixYTlwASDRJbCoKQ66EEqEQaSUAr4Wt3CMCg/WyIllhftsDaywOlhLBIzhP2kLPqzbqfbyokqzVvx7/oIkncDRMZJCYeF5Laq9yUcEQORd4zjgtHCnmL5N9AqMfOCV9+9QHeaWrCFvHl5wJQfdsOlh9jg4AH26BnWNFzCruVvDLzcW10aXhSR68VYYOluZenhuvj48NX/LjsnhMDoEuIY6TYC73MO1W/JfLk28LDDSEFqk5bhQtIvXqbcF04iCr6GCwihoVEyoVyZVse1lCclxki2sCc2wocYGSXC1CuCwvVwFMSIVtwTWRk2gOuYqKnyICqc9h2nbkmctucgCmwmMMw3oEVZHTFuZVFSNAstoCvYoW0GMSU952exqWVv/4j/94//33s3cxqyi2j+HVIU+I+KVU3r+x4GETLDRsrcc2pOzdoM1OwbOhA5s4sBEXUeGafHOBxSb0Rw6MXVxYXwCNDldn9o++FALkwPBqTyskdpLQNsoUeYXpPW+YGfFNF6AkAqxBsqsWEag7eFdIxOojcqZR9HQuVwjAaBRZcJuJvfSG2QpBiSoEA66msGW0VzOYvC86PK/sr9nGGotOIEFrQS6klMwBisUYg6t8ECUo3/kcwZDDHcOV1OfcjiEhE63jSaquSZGlldZVzFAkYuDgSoM8SLs473zybqMJOnzkTtsgiUcWmYOroyMqmAmSXEVq1dJtONqJSavdXOzMdSYaw6PZc32oKtXS0FR5eWm5udqcHJl0hHkvxEyK+niY0KvVCSbir7lM65wIBjkJyUt86TXJ0CIOlo+vBJQSEoZrVSSYXiOKVsSxpwjBk/ZaK9x7Cs/FRKBFJB8+BPDGqF0U8xghE3w0RJbrSGjAToT+5wUhkfIB26MadVlRsWZiw1IuDc899xzfR7EzKAsVnmnx8zvsO8pbOKp4gsUSiLd2rMa0wGKfZFZgPPQiGHvf3AfryBv/+wPXv/bc7PpOrKPDtcmx2tKTn/if/6f/Tk+weGqlHweEmo3+tMDiA1ueUdEFKPm5Rz24Yrz+1V/9FfqI1DMDFmSs0tinlAYzdnnT2b/7HOgrSKD3Pa3stbDpba7KOhYxNg1TNBYkR8xop8S38XP5HUICKI5jyeRKAbW3RMYhpwQ902uejeECi+dPrLr6MqdS/umyw2AccjQp0q7kLNNRVi2nJD2gJ0a2HVDwkd04yJuT9YAMlwuj84nWVvmmuWoXhZXG8urwQmWkVB2q8vOtkZm/Ou80S+V6ed9w9vOpsWpAebW5Uh9brtVHpmqXMOxi0+LhljxgbMA4sgL7EFuzJQm+OFgaZgZjTtMGJ7Hh3hE40CTaRSti6zjLSHuhaUTlRL8hq/cUWyxaFsBFIdVActIeadrlDgNapINlQzQ0h6IE1k8qMhOyYhGMezys7rzzTh4PaVNiMGgYugxpm6voTpMtc6musOA3P3KvX/zxkde9YXpiaHaxft2hiYXl+vxy9pEXX7Vr8tUTKVHol8W4V2ZZx0JKSral57cPcc+RIFYpebBGrDzWImeJRmS6YyambDBeemMnk5+CXAfgyjWE3iPBb0G+pMQ7QswdiZ4N+CGH9IrWOQdFsq0ksMk9e4bsL5XOpbevCfAVVmSQkzgZGOe0XV20N9ugw+2DjpAcysKwwYCkgRxWtQ6BBJicWp43Ayi03WvKbMoIkwazjXuAtnAc1a7dChtfi+259sQa19MKf1vNjvDL9XKnPDyx/vs5QxOl+nypM9K5WL84VZlqV1rNcn2sNFnlAddWqdVuLfFUbKo5NFpj78Tz589N1aZr3b0JORw0jSQOirTLTbvcg2VbBFpknq0C3Gk9jvJnk5qWNAHkrh+7nUbf2z4bgmEQGsgpxiGLTaNdFMl7mdi2UMDWSQCKCKKVJsrWoERWkJJVte08Nk0eTYtAKuyQbbvbRUNiY2j1J1Sv6rmUkMgIfFBOTtttLr3wKFV0rYSo3HyCldWVN4nWbTrpn12gJ2I7WIddjlImkDAW849STPjKFZjx89+9qsdirgaioSuQJQhAsbCTZSI8uQXhVds/V2C+JvUHF9aOdUr8HO5P2RrLLaX/dXokR9AAzlVf9qzcUoDWSWCKW1rlATroPu7c2/R5gpU3x6lPfhriOZF7Jz7D2l5IeS/XShNbRwy0bsuJtX+oa8215dpchSe32dTIb17xmq8zMj7SXO3UVxpj+9ffFTaWS61VtqTmV2PXxg8M85Rr9XxnsjQ1XMv+9Cez7aZE4KnYQvlCZaw0NLK+VmutlBoLnf1DB0aGsq0BY9IRFw8yAjkNJKkqgl+JMi1Klia0wm18JbYoxqzVCbmOIFUcOHIfxwi2rCNL7uSqPSXQitg0xUbMFvb4KOWJjw7Hlr1KSwsxbmxSm3XLO9/5zvxNRoLbrSLxcRbZ3TYuVLsVSX8e9SO5BMAWbJjXqJfRcw3zcwLjVUsuAb0FY66CoPdBvspuz+N4p8Rf9v+0rrHoEx1Ech1HHWvlXLMvt/d0oLMDv/HQSN2u4vYOAVZMCjzQ3vb36bRCLYKH1SQDg/f12w5mDxoyvTDBKTC6mgM3eIeDXGzNN0dXeMSfMZRLzUarWqsMj/IL1q1mvdVe4WlWe+zAUKXKWqe08nKjU22NTg6xugLebpbqsyUeaI0PZ38eJL/kSkSyWJprja1hWxtePwqZF34ubb7UWuuMtEb4qEuaPjmtI+kgAjN5H5NXVhVN21OrLuIh0YdR2LJLOS5g1o/9hiwreHQEQj72AAAgAElEQVQERWsqgff4usTR9hHUUXGUGuwOGXBxY8MrIVzWnZgOlpqWyBR1uKVHrjGCpboScUdOXZa4Yu36ukpNlS81DNlCoo8h0fAERq16I5/LcMu+ghCMF5HR3V6Qt4x/kCCXmWQ6pZl26Vzuiecg5lcawyEg4SXmcirNgAHQVzzqw4SjySygieCyrtMDOtoejBuvy3p8lXjxEGX640EyCyzO0L3TuiTabRRpCwlDjiBt5FBq5uGwSt+H8/za6c5Ek8WLMC1WV3x8NVxbW14rVyujE8Or7NawWl6db4ztG1pdXquMlWtDNa2uMOHHzWrjpfmV+eWF5amRKd4u2tdKc3l1aKE82oEafDIghyZLnVa5XlmbXW1OD08Ttg3zgsekqqAixYfTtDTB5En2sob4PUodJ23kOOpQSglMSWeokb2Ebj+tzw/IwMhhkNzLCv2Gn+xf+0LuY9K/CtvCoagIaWMSUua465q8P/Meqe3Gu9lXMSq1kdx3eqp10+hhmUerKyQrBvV27HPJCinKCiyGWhgYJpt/RViI2BVl5qY7d2tQKtCY40VFu6NI9FbGFhojQVXOPe4NU5WLV1rgrCg8Z6603wH56VL36oAmhbBsjVUqHWmXzva7BBSa9lQ6NkeYF3oahwoPBglxSGxvMDB6NYD31JHdXltCP62L9A+JccuKjedhXNRhRrNHGqsxkIwNDwy1QUV3CEVk5QCkpzlcrSXTRl2hXUV73TMoG516pcGPzPLdVfapKFS8ImR1xSpqaDR7ozcyXeXrCb7HarWXR8aGqKXKDAi1sVKrUW6VWrP12enul1X64qo1sQYYQLW2+YDNhqzEMGwulzsjbQynalM8E3Ntf4GwSbEhWdThr0oxFyBi+nPuwVqaoFUXrSO87NB0m0lLSchZL3QTRVqabyyV6goE10q5R9rbDX8zNkfVbWvxU71eJrbda4ICLoyKZqLvHs/NB7RC6jCRc+Ak92JQX1ErNsGinBBSvBKDIUwKtbHq/lcRjhz3ydtLpytr5/Ox5jWQqJs4JZjRSO4gqpCVoi80sfiKk+mEPd6EwsO0jX5mjcVY4TnW+exGa32yE09SHITcneYhYQ3mUR6EbXcxmtAZvXwFz9u0axuMm7Zbx1GENI0vulhHqqjG6liwNNlJk7PB0U1iRkRQLo2L9qJaFyWQO8mQohkuS6BFJJngi8aq4eKvN7K/JOKdIH/TwRivDne322l0stXVxvdSrISGJ1gojTYaq51SZ2h4KDsZYuLn0sdL9YVSabg025gdaQ41x1bLIxkhKL6XZ4EV4Zaro6V2I/uvPFyab86Pt9J9tozcUqA5saXgtQTRUy4aDoCLCmnbPbllDIMAiEQJMILzLW11vNRMnaSYqC0iVHsjjxpLHpWvFFntzQfvxjKSY1vcP3mTCNtrso6gz1DCUwOdc1j1bkENBIBGrUBDY5VcK8Jr0szs1py4M9/XPVA9/PpBgug0V+vf+79L7WyGiqFDxeVHFyHxoKGb9BeFvM7g/pi/eIwmfdxhSK+JoQ/sv1VdVg/Q+Trc+RyeqByENrsQtTvHOtm7QphJsmJ8S7BmELY9jtG1ihYxwgmVCf0atg7X66ft7vUapxsHTlOVGgs3ReYyVaFEkx8k0qg3YlTuHwQlzKOwe7Fvn4l4fG2GhZay+Gk1mkPj/D1fNms36s3ueih7RRhXUdWRUqvOT2GM8IGWHkolQVSGSmAaKzwerDfHG8bQRcnjrsSwNlFqsPtDh1eN5eX21vtsJeZ9ijoxdRwFy9rbfRVFVHQFSl+c+vAUVsFAosq5BIGRxZ8vSk+uBMCCwNvIxeCJyE4JgxRfpFIFDHwC3obTa2VS2FiCUWPz7XWTd97P22gy8Tg2CSKRPk9IkCiTNkqZgN1ehF5rzavc5OxzbM0vQzyb7qY3HvjRDWPnv3Hh1W8++EPy+w4+9e2Ld6J8dPaOl5ZngJRro1mTu812C9mO4d5772UveTZt5+ec2V2e6xA/TchG8m94wxu+/vWvf+ADH+CPHtmVi41G2VuClRNNBXDixAlyPrBl/9M3velNzz//POc8G6SyTerJkyfpqaeffprdSukv9tz63ve+1+swOJKfbkHNdycUFvv0AH8vpvWBBmjMsfIUI30fHlexdwPfYx1s7ua7QpPvTYFPyxmiDGDC49wZvK92sTm8zhvwL3DjCMnLCkl6WsTGWpzIUrpdjAoSRc5BGo7AFfpaNXwX+7CQaq2xtlSeHZla/wvBVrPFwij7Gp0dsHI7wPEJ+2qz3FwrjaQ/dbHOzUxZX10bHq96ZUZXD/Fhe6HvDWX2onC81OjufoPTxnB9bm1uy0+yNqwv718dXNsQHodYjwc0KjjcSsKgpBjxyNI4j0IE2+paCQSjeOISkxaRaHVySdaYJ79W0e7cb2F7oVWT1Wry6AgTNVwdFat6yWIQp8idF5qI2bGphwd3V8gppTnzGIVHzoGmVjHbCsFhxEg6tfG1m36xtf/Ocn125Cefq84/k2furwmvCDeAt06c/sdTb15rDf/nk/ejU/7SyuF3H31UC6wNYPovQRMcOWssdjVlg3kuA2yUxRMslCyhbr/9drbC4rd3KLKpPHue/vIv//LXvvY1Nkt9/PHHf/M3f5NZm9/bAf+FL3yB3wBiBzCWWe9617vA85OI6F988UVtcJr63vNlmkCMyi0kykEaocPvQSDBg2NLBmaWXhsQbGnbC7DUPUN393usXr6uuZ5DpgmIbkRmUULOuNUh2PXwkhFC0RotsFTEr0aCi9ZY8MhBsJwETEO81V5SRdGXJS5FegYAz0/TSovmLJRmK2PZj/bQXo4pC8vaMG8QeapV8LFhmc3cx0pri9X6SnN4rGAuZV0FU2u1zedcZUZKJfv0Kh6jfCdLo8djvCgkERWfxrdWW4f2H+qFz+vlJcnt2kJiqIGhwYxMAukkMMpuz7yCVx6x1d1Wpo+v1GStupCThmMSGV5xspqcD9utpuFqNXlsbKGhAK7y4MnzX0ONwyuMQQ0nd8OBdcpDc/f8bmP/nTJpHL1v8tt/WJ19qpChl7JgUnj04qvqrezLyv2TQ3OLDQ+lnywf6cWCng84WAyxwTw/1sO2okeOHOF5Fb/9zMMqXYq0ouIpFD/Ww0Ms1l5M5WzpjhVPsO6+++6vfOUr/MjiM888w1KMJRrPwPhdHbalv+OOOz772c/yepFpnTvsPjHsepUGmWgl5/PolAg5kMnzZwE8CmPx6o9Frd9jzLsi/1e1xnKPcUy1WmWZRWL94SWIMQwYjRlpVLTGArWwxaI0soqDR2OGfNcXyvhi6HJW6hmnXBfmbinDiYYTNhGiVGyFJq8IJZuqt8qN5lKbP/5hRUVzhkZqCDy+6hV/bZSNFcr1pU5thI2e16/Em+CNK3GHz9haHXaB37/vIN9sdQ9oNrN2JUCZgn0f+L90lKpTpdnTyyvzK6tLq+1We+bAEc3+9DYJnPJNX0Hq8mfljL8bA7mOjooBe9kiYZCY6xRA5uCna8nlfkvGc9bv3XdPEmg1gtuOcNldeVUMCBI/zi30cq4WqTnkShxxDJWiIbX0kjBR/8qSC+NvzNzD6qoxf3r5pcfazbUDd3+wfvuHpr/779w0rJD7N7/M8yHuQcEN3f6h6v7bEd5/3df+6dR9zAa/cv/xpdXWPz96VgPnwZnHHjr3s2JfffSP+Htiyc7xx2Egh5AjgV4aBPQomYuRXYtSFyTeIT766KO6RKEEQ9Cq5TRGVg6bGAD0T/JujIeF9EmtYYUCTtErt5AobciVqc8DAMOuodD/x1V2GNhkp8QWWbv4d4U7jGfn5h4qceQwIDUOXStHvuTohEKZjBMXESRvL0JsuT+5QttWcafEU+dtBEaf6OT18msbJFfZhD2ttHM6fzS52Jlvja6uLTXYV52nVqwWmcNoEWus5EAnQbLr1dp8p1LtHDg0rVeB7Y6e7rD+bs5fnLd5vbV2/Mj1Y6PpC8XcugwPZQ7xD7/7dItv6Lvp6KGjM4eyW9zu2NnR+BHhLub0kpI4CY5zhISwi172JhUHl7aTK9FkhCvaA/CrK9Zddv+xxn2uMKRHKb0EybvSn3hx8yOhHL2ix8Daze9fufPXON/mfvCZyVveUh0/UF0+N/WV/z02M7adrlAVawDd/VJb8ATrq+df2+5kqxyGzb994HpOEdZYFM/V90XqRObelz7VpaVwGWSlBRgk82WVnvr42Q/XKtUq6JgnfnsVPYYkKOd4g3dVL9ufYr0HwZVo42J3gO2pd4WxvchONB+5fyfEcYKsIjmjiHGuYp4hO6m63xdeiSdMcgczZ4ri7xVGPrABNcRPA8mNx9EgXrysxFbhYdWno8y/pTBgAHmePobEtsyv4EyudeZqk0PTq+2V1mj2JUP2V37tcqvOQ6zsjV72vdRW4yTb9Wq03FjpLM2uHjx8IOIbpcZ8ib8kzBIe6djZuQv5BVbBMqTTPn3qVKfETez6gQCj21Gx7amcdpFiSJwCzOEeRbSd4MlJEfZTINOi/HFhDNB23XF5PIBURyWdYACCU9Iz6NFEQ2QlOBES/FUr4jrffLwTsHsgCUadgPIahp2EVFisLjyPfu3CC/XZk2sXnh9ngTX/XIJMhr1quTVCTw8wDRYssN4+871/PPmWZidb4py6sHbjzNixg6OnL6xO1tZ/BzrxISLNpBoH5ImQmPQvqt/JdZYq3D1+MNSivR/klY5w19dYGkh0bxxRluNAomkGo48ttYygU6LwxIhsfWRISL0AMHMHQyR60cZiqBAMoFDfizbqOdf4m9xtm0eqvMy7eP4SIm5hakeKecvI6QESzCA5hcmRmYULJ+J8AHmNA8hX9df0Mmy2GkuVuep+bvAqzXKLP22udso8kW812jquHF72whoq16ZH92fv7zI3Ha5j5EjrD6gYSxS7ldWJzurC0pnz83wYNzm9+fwPG6/iW91H/ksrS41GfWho/Vd0esW/uLg0NzdbriqcDBV3K+1ltXf0Xm0rJMZAcrnl0DAeyEnGWN47DdlGJBrwnAIITvAgc8XVopOWqgqhe7pkmZqvbtmG3z1lQlt6ne/JSFDPgLcJwl5oS+3ik8On/rV0/P6Z+3+TeCr1+dFn/m7AwGjj61//+ieffDJbYHGko9mXz/2MVlfPn1n+/LfPLqxkLxBJ9fbmlnfsG1Pp3lppkc7pBOOrXvUqvqC65ZZb+Mnnu+66C3Z66rrrruNdBt9jyQt/DwgVM1p0ijnfbPG1lh5cdb1lGUp+Vfqpp57iK3g+eOcPDLGCEyUfywNgUJJryGYG/y1t1QPqsa1QO6r3GivbuyGMLo6dEuwIzuWMwyqlixKcAyBR1Ewk2bV7TSA8LbO0wmCEJz1/leOnbwf0mCBjUQzKdbD6c1Lrx3j0g/98ld7ob5gczRhDvsoaYE4okfGiXEVyNCut5cXqhdo4n65nD4dqI+XWRKe+3OisNdkWIXuCtTEdshg6MH1wKPfLgFglqVGvv3D+pcZy9teV3UXYOgVLMZZgYmSjUVnNzs/OHMx9z7rhFAxGp06ezLqowm8gcgXO6jZeOyaeN4tu6aZqQ+pTtQHZtX/xBVdyfClyuY1XXGDxERcmnCAAEsNdC2tnRGoUeUy9KNUE51s2Sv0Asy5kFLGlN0h7szd6NXxAvZqWB9N82k4/JFXqDXJSUnUlioc6laMlthkuvVBqlp7486Fzj67d9L6hc98ZPvkl/pZwQI/8rR7bIwBm3ksfYj1w5Lv/cOKtrLEe/dEldKOVbNsjJeYRbshYjzOB6rSh1yBlg4YHHnjghz/84Z133vnEE0/MzMzcd999/Okfn6u/7nWvw+Wtt95KN333u9+l+PDDD/NVO0ul973vffwtIS8KKX75y1/mzwzn5+cfeeQR+Zqenr7lllu4pebTkJtvvplv4W+66ab777+fD+RZJH7uc5976aWXNuK6lv/Sk3EGuZah9PadH769ses1NkFwog7ZthzTWFzja7xOiWvIhU1INueSNGsg2PYaCsR8RSOBXCsMzhQSC4tdGSE6CvTb4MEPjoRWv5yjv1KUoQ5uJInyIEeQtgvGNMqZIsJk3SmlWue8F7kDcyQIpDjAIEEDg5h5cLXYmeuMNav8hGB3dUUNtcPjZb7F6rSq9dWV6sZ0yIKGK/784tyhA9neNP3T2TNn22UaWF5b1SS5Pry73jMX7ewr9/WXaAtLcwf3H+LvEi/hDCfE7MXZ5eXuJg0gQLU7o/uHh44TzOxkuefv56ilWKixFN18V13i8coUCn05EvsE5iEhpa6vWmRIw8mio2mrXRQIKSaYKZKr3+QoaQtFElGR72IkEJISQpYaPk0cDL1x5TokCeDqF9W6vF+GBElHh1ofJo5CL5M8yYCaWzvZQ+MXyi2mgde2h35YaZbOfK01fnzk+U8zNAYkAcbuVPfccw87T4V9sDas/8up+9519NHnlo7fPH7mxMrhmZG5+eb49NDyPfue+deXX8ff0zAO2QiId+zx9Qet5c0Cf/R36tQpmHivx5ZXJDzxWIuVE8+f2GpBI+n973//hQsX3vve97IgA8BTLlZR7373u//6r//6gx/8IGspUlz58QTrscce41v4T37ykw8++KAiZdMH/tLw2Wef3fKPnjZadmX/ZRAkU8aV9XeZ7BqjjE6u9Jh6vCJrvkg0LqrWuc5wFfuEwB0A15MDu/pbOgp7S9d9okqqdkJF/wxurmUWQ5qxSgcWjpM+hLEKW93jui2x1sr+gkx6GRInW6JogSWewVtqv5CTPOqst0AtryNhpjnqE3khJ/UfZtgOEhg8hq02l1eGFyrD2aelfMPOGbAZCbstZB9RlWrDIzx5pAIzVlcA5pfm908fJEKD8wJz3cWLF9iygQdO/LlfnIb5mxJF2tx4fIU5TWPdxrOxPBUaZsjTp7MpVIn9Gqaum5w8OJH10lBn9vzFqco0W8pv1F/yL93S7bzNVqtaeuWXGGxVUD+7G7eCr9fnrQZhoFtI0QWDJ1lkZCuR3FpEJnKq8UYeeaJMJO4H9RWEg4QXSa6C3G3ooKsuwG7UVYjtKrvIDwwFQJM50LqcodEAQOBoYtJrnPQJnjN4vFR+nh+44k/xSqVnK81b2tVsjdVjaaUAyEmRltmeAFhdcc5u3K+F+tXW8GdP34vi6YUbgrr0xbN3c9f35ltLj79UWuSNYX3zgRYwfPAq8Pjx4zy1YmMFnjax2GL99OEPf5gnWw899NA73vEO3gzimGsMvtnK4Vvf+hYPotDrKyteKX7kIx/hORb7OMQ+xdE//MM/8FSMrRx+8Rd/UbaceGyIxSqNZRZPyGKcP5Vy9yBuZmqjjqtmB8n5tnvuQCBxyLlCI+SRu65hkDDwjvB3hZcMv4H80JzCIAuVAzHuNmgbkWhdxSFg7cII16rLcUE4SKtZ+iR/5dfH0OSJoOD7GGaX8+5f78pQ1y3CIyVUvYqQkyCR0AsmPe5IkAMuvOCpyiTAJDseaRKYMMSw2J5rja+xtGJZlW3IHlZXwrDAaq51WmuN7lKKRvKaLptnmagXWGNN8WFDt+FFrT998hQuALPG4hmlCMk53OfPnZvYN878LICr5hdm4XTwXf06NSb1+pqQo5OjUwcm2PadzkHDM6+hfWWe7o/VxyZGJmhy0l53ix1JkL5XrcGOx0gLxuSFJAYAA1pFql4m9JtWS4qNq6kfrKIhMVrAyJychEYnWuSXDB5AXv9K0dA0UhItYyO5Z6aN9EkemRi+0os61oXNdJ/QxnjQ6RZSrzEwViprTZMNLNbofEfbrvCD7I1q9lQimxQuHTxZsdKeufvC9I2L7Ubl3JP7Zp/N/kAYFx6Bm9s0VK9/R3Xy+gE7vf70f2QKSsA8hVpcXFQD+NZq5zuC8q0V+0q/UtZPLByTRWfsn+4hy+6rsoN36VWKIofKSh1FFzGRhjymSD64vOU2DQpmcMItkVOd0ljvvRv6uOtT1d/ptg3707qWEY4LkjQIHBfXJkKvWi4b3CQAjo+BbSvyQtptH8G4SHLw9pgIuOZcZtc6xaCTGplkW8tREI9bbSHyR6XZDPAtKVOn/LqqUMgzCEZUCGvN1eWh+crI+gGqsa9Vj8cbKwtrXJk7jWwFxvvBteb63/Twc8s3Hr/5Ui+bi62lxcVnn3lGvtgX9OD+wze9av2+lIXXyxcu7D80zWYQvJ1Mgj96+PjkxBTKuGZjAnn6qadoeHWoNn1wkg0jmOi7k/smam2BhWBnqDk0NTylqGJsiiTx1au4pSGAXoS2TQC99MSgEai8V0jWQ6sUx0ASD0UupfGAYqJhY57+QkIYwX2qIqyXvEPzXrQD6tUtxGA8PUNPxs501X8lAr1BtzDresAwVFBSVOfQQa9tVp+rZk80SSPt0nSn/Gy5uXrLB0Z7vCK86YHzE9dd5PZsbak9NlV9/qHjWmOpSyHffIJ1/vv/Obml7tPvPKaKB09Ibq3Mu/PVFVQ88SL1CeOqVdFYJ5wiyzUCR0IaXS+RrRFGmuyIddO1HeKE4KgKhS0BhVZ9lAvdrur1HAt37kNIoqwqlJcb0rYNkwCSRumgQ84JyUFU0eHFyKOhgretq2Dgaope6wnueNC41k3O06JhmiAngVduw14ChEr54Ye+kIeQNCEAwItyCfYiWxcdjMDSR6U0iZXNJXgWopl6+0/MBJNY5Wmtsd9Gs7E0dLE6sv7CqJr93E3Pl0f0ZqfJI66sN1rsbbWRMpKVpYnxyfVzPtN3T6LsLwg7p0+ddmDMpg6+vrb28svn+WoXtN42bvCt/zu3MKsFVjwh2YGZxk7snxifHuPw0qJkdYXx8ER5rVlqVpr8FPTBsYP8dSEm+HXTsCIk9YYER5jEkOhjB6rK5ua0CQIe0SvBjJDwJ0VMdCjRi0cmyAjSyERF566NGCH9qMCGuoiqSI5HrqPR0GzURj1FqmSIPqmSvk8eaYFF86SqD8luVdFkUmQjBo4XF6nYRgD0DylGG61eEbKaRqg+BZDVTLXLMkVmXXJSbBqGJGAnq+1bW/yBcWmI5wKV8g8qzUqb596bM3O0qo21D9y2sLzQeeH77PBSuvPNYzOvnYsLLMCbCywK0StT0WvuuuvIxMRz3/v+ST7dDLN/9PGKkNW/5ErEjODIkWl41OSLgFGS4likaBLO6vyYdu3eEWLMVy0q1lh8mTLTzn4TOp8ISYeAqiQ8Vbk2b1tYpUMpW5skzIWGDqCwVgwmN7OEy62FR4kRhcDrdRiyqa7oRAOg2Lic6IoLOJlAFYCjkoljo+gILYjTGNsigOcDKd7d+0usyJA3sXf5FdgmIlQVssGJLFrnNJY2Ambuc6u10kJJEtJerEEvX7yaA9VusIV6uZJ92J4td3ol8wHQlgpGzi5cHB+bgFQazx3zc/NLS7wJX0/UZy8Wu3GdPXOG4JkWso/lcw/7MVhdW1ldWx0dGd2wzn4MY3ll6eDxA3yDL2W8HBrW/aXCcmOp06q1zi6fHee7kdFWa6IxsjI5MZy9N9SaA4FOUD8oN4OqYndR1cVekhnfS2CsQqIcTJ7QjhSAimJDQ5GkooVYlNJVkSSpkhU5ejXfGgZP0o0ErHFljAX7skZOKVKlmJEtGCZALEY5T+vaQirX5oXLxZuBGGg1yRoE2Nw/sYF0EalP2JHkyskKj5ykaPO+FKSi9cjPw/prus3NVlFs+Pkynw43KqvlTvbzJK0Sp3C1wp476189Zu7KpepYY+TAysTRVbYXnjxQbTc7N9+dncgV1mWXpksWWK46PDT85ptvXjl69Aff/36l0/7V973v5U7nM5/5jAFXWVAXx16WrDCijEYDxRHqAJBLiONGGiN3InAU+r8f3EVf246TGIhzS3P6M4k2aqKcp+pV2/+3dBJ3kVZVprUgTFIblZZlQo7GjiwIls+Ftx581Oh2R7XonayxYS8BQqU4NXAlgJlJ0BcJmGEASY7M+0HWPa7tRS4T2crQuQS5RlYCKRexyFBhgYU7KSMADUXzxyrLqo3MMullKC8OIDqli/S0D6Uvlih1tbDHaCtlmz1DeSTVLrFx6NTENK8H0PPgCWQXkH2QnhW7Bf50p8vA11dcWi65Z11bW12rsxgakwtNogRw5sxpaZx3ypktf+5z8WL3T7D5SCh83m6YhLn5C6Mz10mmq+eXZvfNTPmVYbYVTo+ztTbCqpFGlcpD5aXWIkNmbHRktbSwPLu8b2SfFqPqf40uHwsHEI+LlFnPdJNMrIwmlgsFeaEKmsI87xSYrWyCkE/RVvxgbGtN3pDmkKzHxEsKKbE1Js8TNZYRYjwmRxgkpIg3pw2ptTIiJeerHImFvFUfjdoeaeHJdxEAUrI+60Pbpwr+mEBSNB4vKnYdZhkRkgNQbuTOhepw+/DrFoenmo3l6stPTpLDyQr0fLk7YLrnOZMtrS6Pr4wfXhs9WMeE8OoLteXzwxeePDx5ZHXi2PKRW4ZGxrImLPxkmmnTAaMpWGDx+u/BV7/mU195pPXjH7G11Y/Onv3EZz7zvgcffPW+/U/NXbJxw4AtVG8CVsfFXAzSSKYTk6L1VDlZKWGP54S9FyIkDM6cLSMB5kOgyK1BkExeyNNLD5g1FuN38H3eHYMcuSghOopyjMp6TAplwJEWWcWYC2Nz8XPWcaWXTFV+gkYpEmH65ybXCyZOUX8F7yoY5CjGFmvtAoD0sTYJJinKNm9IJLSUnCqSXSDEouXoMco2jErJ/W2pBaZceC8uGcm8QERJYgYklxcLWRFdFnaHVc7yyvLBfYcdiYWsVd2WrZbrbLyesYX3g4bNzc+OzqwvsKScvXCRVZEBEni8xNXgzOkzDAo0RF74flDgbNPRZoM/CVxkl7+1OVZLZuMS5wFmZRSGxsvcN+OERVh7tdQabdVGq/WJ1uzK7MHqQX7/x7O8eGgXGjqK3DzufGnUdVEpWXrltkWItSoaExeblxMAACAASURBVEmstBBJohIrilvaRlhiDnNkiLWOkE4gOQbYGEusSq3BSn1ljW2tSZgNkN5NkJAHm8dCHqNmipk8D5Ct9RaiiUkETvJo4iqUSReJUL0kQuUgSR5pKGOSlWiBUYWMoBwrkmslXM28Mty5+Z3nFl4aW14aYre5G9728omvHqovFjyAuOfco8dva3xrtnLue9OtNZ44OczW8w8fuekdZw9ev9Jplc89MX368exDAt8EgitYYH3gAx/49Kc/zYxF9bFjx9g1lE757L/8y4OHDvuHpJlzSfKjjrPPRHCHokd2Eoxigt+zRZr5Coq2sBsZ0D5qAPq0KN/SqIlyoaNE6VNrPjvFyoc6nQvhZ3ETNkdVqHetBfuSF+eJYFgvAXdOYJCdi0oayUxAKka2RBPxSZWtHGQEaHZjOmOZhZ5Vl2uFT8xdlCAwSFuhj3JCIitHYjZMeHylnya0eaGtTVxrvKusAWOZWuRC1zIUUrkMbateQknSjEYVSs/aMPAEq8tT5pXf4tLC/qmD9KqYnXcPc1bK3uW1W1xsk/eDQi6vXrIDO47Onj1jEgsHDx3ijwMWF9d/Hqe7/VXq0WAC5s8JJ0an5pfnKtnqan0ypEXxem98FLKf8Rkv1xczE9ZYq/ON8YPVIT7ParXPrZybLE+ODmdbYFBLqDKElua7r2itV6tmBiMZW8kiSfRSKretvaB3lQxtDsZVhYZ5QLRVrRjyPNZYyNsWOtVYchW9RNL3f1JCSHeRjLEeF3Jnp1RZtpAYumhzayzY1gJVxlsw3kKsirbR3OBBBAjpEJBmQ5CSnCRmAegl9We+uwbxddUwM6+dZ3XV5rNL2tUuL7w4euiuhVPf5O+F0/TU8ulbH993W7n1eLZlQ4mVuP9ipb5Q/fF/OV4bacHQqutMz1ovCnqmxpmsvlM3UXH6i1/iT4X5M0A6kU0T+DqEeZZ3Ewfe8uYj3/wmmy+AoYqT090tuj2e08CdBNzHdofMO+m3/q6TWka8jvX2PMKGofshIU84VascEwQSGL7HmuqU4/dY0ptZYIpdi/VTVxjnjiFxKhJqST69VRRhgqcKTuWuomhZgjRCujYqgSm2xJCi8TJPANTK0LUqoid+dmTgeOlay+lG8uGLtOaMSslmMyYJSUXBIgZZyqQqujAeZQKLRZsI78Csl7lyYaK5vVhQrczJSXo7j577B10XNcWvvw1k/my3kBeX5qezDRd6pIyJH8xpd6rpdRQD6vgs/fDB9U1HmSH9PbvpRkfHpvdPP//ss4ClXFuqr87V2WehMswXYOXqcKXcfRpok4XF+Wqplu0JUe9QlW0+ykYStfUfmjSsUKgOl/iPF4UkjPiZ6tHJoWzV1S4tthYbq43JkcloSFR0C6Mow3cvmeorZAYbiVpHDkayejspWml+wMIrl4tYKxnDvK2qbGirXvrIICs00VwANFHpABJ+F02LlTuKWvQknYkI4lSPZQ42jnXkT5SFLqQUElpjoj5RUjSzhcQWvatk7pijOTJ6JxdlkuQ0Fg25yBP+BExHQcuZqEen1MrK5gm+sAhDfy+FVpel5Heo2s3Nmx9WSLXRghMfTk7mz1bXPtAavbFVe2dr+IZ2da7c+U+1lX+urmXneafUXC147qVgakwTOuXcnvrCAqOJLRLQs5MnGyWw2EIuj4x4UU9n0QWX1Z5rDnYDdz0ShpSG4K4zQ7iToRabDA+zhka/49RBBGbBVXkhYRNAhhEsmMF4pFYwctIq+4uwz3undHFzeEeCdVldCo8FccIAwvwULcsyAZg6b57YAkBDivx58+gucsrQeAkGi9xFw6yxXwnkVJF0IWe2QvAn573M0ctQuWAizJtAbiWCixHPzRXrPH+JJXwW1oYtYOGtEUZKZNdaI4CrEGTbiyHijYlsNmeaIoFnfmdhOlweWmVhxYWh+3BofmluanJ6w/CS6Sv77KrTGR4Z4lsru0uExeWFA/uyTUfr9cbL588ntZnTWnV+bo4PsFxVqWbfZK3MrmW/l0Mq87SpXOHbKtZb/DfEkqs9157NtuYixCbX9dLwyPD4SPZrhllA3bA5AzYEa9YP3PBEabXRWV1aW55bmjo6xgIrW3WNlFpr5XqlPrs6Oz2c7vzuw8FswJmFEzQkzlOmdwQ06JUURhZ5N6l2o7SpRKIq0auYNaKbbGtNxFNLSkwMUJUNLRiAYPNIklfmbU2eVEVbqpIlF92VrCHUY5EkMsSoJMfaaKVa8jxAGsBRyNtSG1NCZX4EbJMUawtlmKWXgHkCox/Q0F1Rr+sOPWZz+wWfJ8lrItuuyKyo+ESdZ9Zio1nNteIxDIAmfbPS+PPVfWwhyknCZ1b/W3uyMdx5uKoPN3tGVPCK8Lb3//JX/sN/eO655zDiV2seeeQR9vNEvvjVr53MfdTZk/inq4Jh0eeQd+fcfh3d37x/V/XxiyG1A5KD1CgvJJQyTyUNOUlxSlbeP3KFp1z8PpfOdzrsj8XDhLgHKZyOTe5cjI4SpYrCR1iisRUCVSQEkkwsmAGA5SiA7FpfUpuYJ7byJaXyBB9jsK0cKQfA6ornNGw1x0Fk8iIlJCpGc6xsHptgjJXRFllF1eJOSxaDEfIMUSnzSBJrzRNJJJNH28gQwWawkNRiyEiji9gEiwf6rc76ngt88LS8ujzB3wNmyReG9UPJNI9ubYVfqSjzwIlc32bZC5zZpqPTB86dOQu59RYWZueXLyzziUaZU03G2c8J8jdHtfpao9Vkls4+nGqzL9bqhnm5dOD6Snfv0y5Np8SP5BycPox70V4yztYhWZzd6GloZ3bpxOzpbH+c4bFsVy1S9nkWb5V5PzrSnq3PTteynd/dmRLU1cgWaJ3MybV0UK+CobE+c2NXi0q5bSVEmDQRHGujPpJETC9O9IXmtnVs0lhvRwCMsVJCod4MGmAqgkTgkOn1q82FSWjNEPUoRWIlRZKLFuSIXMl6C7LqWmdngYsAMCnkTKr6wECawYLMyZ1ilZRo8r1BjyWdBhgYCTzJhFdCOP/k9M0PnJt/cZTPp/gGa+qG1RPfONTH0XtaI7VS+VRj7aH5c8eHR9+z7+gHW2PbWWA99OUv/8Lb3vb/fv7zOONrArm867bb+IUsWt4nglduVf8hlW8XeJQaAZLzmKjpP1Yu13tkzssJW1LUmMYKvVOeJNEofnIJGgYqQiIlQmKVLwopPe8Ks98rDL+lE2uFKeQ0TLUqWmmniW1SBBbNbWWePD4JyQBMkG0IzLJdGJyQRL8ika0NIxuyH8/wsIGjkF/6KJhe5vYuX/YuvGsluBVcNnDERTcB2DwRIhtV4jGbawfRiDky2JwqyeROVspkpVNlUMaP1nnNNz46Dl7M3Tybx1nWsO0XL+lqI5XFs/ysTpsfK+S7qPVHTay3si8pyvOL88PVkdnZSzfnW78QcInlh8xYXpXadTbP2XxrgLvpqX3jo1Onz53iHV1wTe/wc86bD3L5GJ+uXlpemJrcJ1jRRSZb+XUbUGaTiMWFuawnKvxq9frdMo3jY6z6Qtd0uDTXnJuoj48NZ3tMxxQ7wbL6jRUVSWCqOPQ8DkSglkQVObW2irSqUh71BidV1hucZ5Br5YYhoCFFTV4WIHEaYVsyGAxJwhOLnI8kNBCSa6b1S1hIqFXXRSv04PPJTgUgxyomHwUBqIomlmGmilwM1idCNI8ysC1t5SIhVNFVCadqUcZWSKl+w5Bkzm7X7uaqC/J2vfyTLx+eed1CpcZjqeqJrx/igyp7zAsHug+hjw2P/qS+dP9UthSb5BlY9+FWHmxNdk7iTOePtE8//XTnxIkHrrvuqXb7B08+OVqpPPDzb7/lrtd87GMfs9nlCrgo7OIBeXZoXugFTvSOKikmJoZJH4tRTqx2UuzTZIUKuQRGpGTrE7+mYu6OEyWRa0YobILYqJK5SRJyFwtJFBi5ayPPXLnEZSSusfJsxiPkeVCSTG5zI6nl2Q9XCF7cJL8wIwwAW0UeyaqNeuNRSo65qFRlBgTJdmQSBFXlSQCjJHWt1xkE5jiSOO75ZRb4vBesxOPwxCNwlG0r7yryfpAbLT4VEFK5AS4KnARAbdQIQx71YhCMXInWIRhmQbaRhypSMlNjC6bRarR4gKXHPV0b3gCu1fmZxdHNbuoGw681D4+OtDsN3t9NHx9fvri2egHrUmN581FT9mpvqLw8utphfwSeTLE26i4zMuKNqxthcNxq1c01E6uuA9Mz+6b306LJicmfnHhhZXW5G0tBprXg3MLc5IRfZRbApOLkPXPqVKfCko5Pz/jmhR5bB9eGS21+/If3o1k05aX2cmOlySdZ6hbl5o3FKBvAYLNMKzibgJHodqq63b95lNEbHAVgKgpAUQwRg4ySlCillzLWmjPiBYiwaB6RyAo+UQqfkBfSisG5eQBjzmAgIZPUb3oJq1mXbtS6wZOwgsEEAZMkAJGjT7wk3gWwrQQXo21iqKrEPI/JB2byGJvYXKVikudrRc6gSrzQeySUJJOo9yBJeIRBiZBU2Vb65krl1LfW72Rc1Ut4stJ8L78fuLr4P87c8uPVxdtHJ5+pZg+l+6fsV64InYtQDOVHS0vnq9V3v+99w/XG0w8//MTjj332S1/ME7m10bYQ1gfQpxdMNbj5IGyiNWehSVRG2SFZoNZyodDHXLbkSUp4qHW0qlLROYJSNMSKInqb845JD7FRRmShHDGiUp6AI39SpaJ5YjyuYo01XSrPdDrnK2kbjVH85kGfxJMPzGCdhJyxTG2sscgZ7WLGSobkwquo2phjIgC5BGot5K1Ma0eRLdqKRHjkPJUABMCHUMmxo2n6Cp5GwcnB7RVSEo+CyYOtidHKVj2QDw+klTI3CXpkchLm5AlYGvuyOQLJM5JhKCODDS0ICQxBYI6SflLQGAQeYh0ZOeYTgLAWFhZ5EjQyNrK+Z1W5NH5whF0Pls6s8V3Uum22YSk7pvMUsc6UGQklczjqdYYZT7o2J4Tx0emZQ0d1gIDxCd1NN978k7PPrcxtfulF54ihe7+Tzdj1BpuQLmdbm/ZN7BPB3x4B4XPdobHNHbplNDReajGpa31YLs2vzdVKtfGx7DlW7CJ3r/SyVe4qHX0psY3rLS221AR6gMUBeSGJ2SJ5ooScFM0jeEB9ngEvhUoIkwDkIgsihGFM5EEmaWBLtm2M01T0jBajsVYXX5mTUwUsz6Mq9GaLJMgAHLAFKW1rEwEMk94MiV7ktkXIA1zbqyrGAEbFQrCVFkTOoErGFXo6X8kBIAgp84QkwrYh/0u1/vZq/efGprG9cXj8TLn172ubX1v2IsxOS6Zpqok1gi7Oz//d3/1d1FhWB7nX1IxevYZ+d9vpMPKCQ8pX9dEMEl6fVtBvnBVyrRwNguQ+flUl7+QkBoeEaHVZPNEQKruARPxi68UpE4FNhTLRRHPJUZM4VTEyODBZZe8K2/q7ws0rU/SuANDY0ILJIz9KMXNc2KmIqxpXODQa4aqCwSQSxKBae5dggPXAIBdhrDWnY7BJFOwFvPwKH82NF4DZeXw8uzraVgBMWFoh82ySeFiXEFgvHnPmeRKNGSTQh/SkAyAGp8hpWVbONeup1swGQxVlA6IepYsG2ArBtRKUsyjyB1gGr6wt8zkbX8DrNRuxnTtzBny2pYKfRPFJ03itdmNl4cxqa/mSFYN5otBoN+ur2accbkqtOnzowJHwTX02elfaSytj8zO375s/X5t7aVEb6mAkqmbYknR+cVaLIVoWHVluNpreJ4IF1sgY2zxkSDeBSEYmKqvz7bXlteXZpcZa48DxgzLXuDWVBfehNO5nC9JHGIMtmrNi8HdIVJH62LrKhBbMiQAsIpENsz4G5tpIUqgUeR5G/yhRhWH0EovoGTz5NsrKtDZXDDESmRuJEDuQIrbiF4m8RwZh7CJSoRQ+KiXnGRJMNCwkTxgS81jEPGFIihGMLNeRvxcefVzri0cHDvPIoPkHPClxt0WxUmvuv6szNFnmTmvumf+jdPH+1tCr2rWzlfYXq/X59V1g+nFkX1eonlcABNcPu1Hn10y0wRFb2ECt/9tLb1gfgPijF1sVCqaKnZsgjZFeSCntjipkH6qEISnSG3oJJRJy0iBnXXRnTmwtS0AjZKKniJ5cABXz5tEqz5MwmFN62cJJirYUI63kaFLII4ZCnlneFfI9Vqt0JvsJ80uuKLFoOQkgi+/SCB05KwNm/NnZWdZYJFYJjHOHJxi5GSRbL0F+ExcOxgJgxoyo+vBEctmaAYEEgzFmY45QAJEZsJEMQmQay4DkpGYECmlC08rKbMSMRjkmrjWzeOCHXCSasMgjxjIMJLuzXgJVCAIIE5HIAhRamcEY21oQuZC8H8z/TA3I+aX5Q/sPazU1PzvPo006IL/9Fe8E9103zgfplfrw3Pn57I/5SJsHJytlu2fV2tXx7JOrTnajSvPKU5P7Dx88ysUyg3ePZvab07X58nhLq6npmYnRiZHzz801V3kbkvGwMOJinUndxLao9UZ9mFVg4m8DcO7sWR3xTFEtTYxNTY/sJ7SuO1zyv05nqHTxpZMLL69/R6s+B66Q3IfWZFQbAyARZIISwXLCgD4OCZrPGWenjMlYG/mRSaZVUTnmpETjYlKFPk8SMcia1U1uKgmYO9G9yAnSGvRmthBJJCfmICNDUktRZ1a01YLVLgBwaic9mecxgw2tUQNdlOCohHeRWsWc8ERAQlVYTMzBJAwJIKkV5yCYfAdiq4NOHmMTEkeFvrrIcmPmTZWVs/w9LsXmgdeULv7gS2sXv7TVXw5GL5t/Rcj5MDW1/ncotKS3103zPhj1RQQMyLnJ3pXEoxwFhGa2kJgIRg4gSQmSWoNdpZjJSfHuwQALmIMh90xH0bV5IalVUQwCS1MYVZ4NTSGhzCPetMkIiwymQkgYXLQQDaOjvD6aUKtiopTHOf5Kne+xOvwaVHEf2jYfYYyBNnr24fBhBZ41B78+fvDgwWS7ARvGkGDAxFUILkoQJzIpGhqZZzAbJsiykuyq/kpqSfKIIKuEAaWWVlzY2L4uf0mzVWSgu+CJlxPBjHGRF1L0pIrkBiRhUJRGAMkRjyylBqQBZhagF79hAISBQYKrxNDkld4lk+p6/dIKm47uZ8bjUqWN/Qgoe5l4yaV8Hcy7wv1Hpq+75djJZ0/PnueL8vXEEqZZalXGmL4zs6Fx/lSwPTI8xjvB+HaPwFhdLY1erGz2XNZ1Uwcnx6fHzzxzXk+wuG4m/cDe8TOHjmx4u+RfVoQXLvCbaeuJJ1j8LjcF4uj2Q7cZvBbMfiqRPzBc74JqJfsaJPEiiqT3EoyKwiTIjRA2B4M0mHD2kczPQoGkIkOOwWlbY0zeJwBbGYMV7VJSLVWiMgY9MgnXjoqi2Sw4BjRRFiDRFDIUGhbyS1lIYke+uIgWPeM2noZqESR9eJIqkzsqBGGMjBhk620iZYS5ymyxNs+Qx6PBhASYPAH0Z4hgyyLRFKfjbhIGDD0pj8a7M9G0Rw5kX8JnnwVkqbr4Ymv6ttq5b6uY5Io5UVLcXGDhOB7LPNQazhOCc7FQcDNciyYGoZbnYcYjuBYwHsmVhEE2IFpFGQBdRkIgxSrMY7FQxqQPzISGJSGpmCjzjswTqxK/LhaCFYCqIkBWtkWwbF/GU5VnMAwh2kY5jzGnBWPkJZpLJl/mr5+6+2P5N6GjuWMTQySMMjCGisA8vuL1N1cj1lXdq2mLIjsdgI/M0VxVCskYFQ1DQCOlMbEWpQD5WlkJ7DgpgiwEi4cTkyawbIpeqEpMVCQHr8+zmIgZ/HqHKNsYABoVZZhURSUy3tnV3ddI22IlQ+FjhPYIgNo8QBqZJ4ZRiayiGSS46GAQUApMnn01Vc1+6Tkhp08WlrM11uzFi/V69tyJCWLx/Ao7gvJXhNoONJqwC/y+Y/tnbjo0t3Cx084m5exx11AbpGH8QdHRo0dnDhyNh1W1zU4DOM+/sjVWN5Zsi65sl+fqsTtmVuayLzl81Tdhd9utQ7oGSKlmsLA7e+oMTTASIfvrxUsTgNOnT/P23QssdoeQlfons9qYEq0RB0VrjFGVi70AwLrWKUNcUVHHyDSD7gpiPCah+YIZrDBiTki0iw7MX78SK5BRE2URAiBFcuQIi7XoYxVyrLUcMbBZby8JwHoJSS3mSTMZbzorhQRAcm8jS+9aC4kjFyNAMlUWDJMAf9QksP61ZsDKSAdMrZXRBXLixbV5vDUWDGbMSBmr1Jnib43t48zNTuduJMDYC9jmCsO2FgyAhLS5wOLnsLgUubqPgMvDhw9j3AtDVd6fwNiSZDs4A2wk9QhCL7+JPoaR9zUIz5Zx4lE8hWyJMh9DEnAfKttaSGwpJlWwiVBIahONTKJVlCO/eMhFEqssq0oMvXgMjoFZicCj2P2l8pF252z3qUAvHoaQGSyYR3GqyLKAuYaBzYROYibiMQzfEsEAILF10QzWAM4HE8OwdwsMV0wig0hQ6hRAIBlfKMic+GmIvpVMYCZJHAEjAEwA6Lmdv4KPSMmFYUSlukuaqMdcDLiT3kVrEKQUiYsIMYExcyQRRrUGRMNElhfwpMMjx0+cemlhdYF9rWqjlSqLp6Fs/cQqh13deUvn/UI5DvxO8/LsSqmR1bIdKA+uMiu2Ax3hDwabbLl+/uz54Ykabwxb5XZ5iPbyu4OY6W8JMaqOT07Iu1tKbIShRRVfXLXWSpVaaXg0+5O/rEYPa7WRuj7ICo3BcHF5ft/UAes08c3P8VH++k/xuIoFn+ZFj6fz586v8VOJDHMuEJ3yvqPTy7Vlfs96oruLqQzpT3VpFuTGYVKVNMgCSJkvokkbu8GTZ0ADm3OzcSPEQkp6lCwgZMsAVkIZk2qjRkGSk/K1RlIruRfGAJskQgKIPJaFIZeGXLL1CacNrReSYr4KpWuFB+Mll3wBYK4TUgysPknGF5JgJXPB7EUMUuZzw1QlMEpSZIu1kURINMJHmKkiPgKsx1ZyJMnXWoMgcuXRNo63TutEc+a+6uostCxZOkMT1dbicPfny8RAl0YGlDEAVW0usHwA5E/5vffe+53vfMfLYSkJgpOKBB1JvNGql4xLJflCLkTC2atKvqjtjzHM/CZUwNZHwZgtlQJARSfQGy4qMIqDUKkJMZ4oxxgkF3IalrfNawgVZeSJMlSulWAGC8LYKYIZJJCbxLBonmcwTGyz5c5kp3S41fFzrAiQefSSkBvsMFhUkTRoVcuTGNZYAIyRnqLNJXB8kwYagF6cXZr1jNo8CZpIghXFeHLKxJg8A2AigdwYh4EAof0WArTMYolGLeey8JFBssPIk0jDa0eoyA3Ih6o4IRTGSGswIaEnITgMy1l1Vw/AtTK3RgBzChatMgp+MGB4+Jabbj3/8rnT5043V9Yf9bMuyna3GuHLipcaS831PdZ5vNSpjNaqjWwnKo5Qqb64+Q6L+XVxZJUjUO5UhzrVbF2UPfbKkhowPXngwL7DXNUUoePMAKGNFNlotNKuTQ1Pq22NUn2ltBp36spINxL7NUxP7o8M7Vb7zOnTkV9YPZdFFi2LaX7MR1W0N/ssbGa0vlReaa3QD1Mjm3tAQGV+H7uM59LOl8bICDCSWhhICCR5L8wx0fhHIEUMhnSjzWHT+WINYGSSDbsc6yRWAjBtXhlrDZNgsBy5NuqlzILopnyVATYHiFyIVJVNIiZWmSoCbBUFAH5oLQbWr5wLYBwG/U8yJwJWdpd3YdtoIquoMb+FWCvZXlwld9bHYmEkGAKmKppItsbkCIUkRqo2wWS1rXp14TleC5Ybi83qCM/DeT+4cd5n9xX0qk55wDJnrCqhESDbpkHhxoAk33777R/96Ec//vGP5/+cUMHBFYOzmzxVdJG0pBDcR4m5vEd3UZZtLy/WRxMR2mmssjIvQEXvxbsHY/KErnIAEsjz7hJz2RYqzQYmyoUmHC/0hTyJuWMTT8wVrUksJJhImA9M8yaYQrYlflmtXTrUKV3YfAOz2TrHJlv5zYcBDCXJ3pEBM9Gw3mJjJ7bF6tZvAhQPSsJTlTRykeSsVOCBXL3KbIVMSmBmgDCpRRPBOKXY5UhJfNJGvGXzIECSMMgpOR/4Y6LmE7ynV5sLCcaR2IUEkFqf5U0SJEVj8lVypFCptV8hXYRBJNJITtgUqkhsmHAePjTDR1EvnXpRP4PDo6Lmajv7b3GJvaMSwqGhbIdRXqaxv5Or+D6rudYa3tjJ03oE/bUg+4jSsURIDNmF69JLV/zQnp0g2Cdi2r/Ykz3F4vcPL7nUmZ8/7V9aXpycWP80Fv3LL7+8tra5xYOQ/K3i9L7sxbcTi7DNGKqdGtP8cIXfp6ovlZojLbZ33z+cfYIGnoBJMrRAMeltwGikdC48RQnkDFT8Rh6HlChFQq2GgUnQeEYVRisD9DD49iCyCWbCWCXvVJGst6BaYxIh1iKLREoxxNxgYJbtyEqRWG8kgtkMVm0eHAHIeQCGEUORfhObcmo5oBqxaGAgaZIxIOKNSZQUE0fwCCMhqY1VkSrCEoa8CxtiZTDKKBuTCNGRTcxjwVWVpROV5dOdkYOlxmK5dcn7PVHRabJSkV7Vs0NGtfoze4JFZJtnY4johRde+Mu//MuHH3446NZF8GJUngfkNXiJ4Cgn4C17Kg+wxrTSUHRV4iUWEwxF84jBua168ZvKDDaRUKgXv5EmsabQitqo9xVLVpAkPBz+RCO/IlGekDgAGyLIylWJIB6UFhIARY9L0ZpcSAznKqX97dLRdvZ3hVauS+EfR5swCKJQabWKGvqSeSvBO3GeY7FIUpyOhNiQfUZID0YC5sLr/BGbcumjxjK2pOjIVQhRj0wCbACROEgrIyBRigGlMBQNQNDVC0J6gyZQzFMVGoqESRkTX/PofzsSwGwJifWOxxqRJDxiI0KEvIlqZaJacgmmNQaBA337LXecOPni3GL8Sj1CzbJiMQAAIABJREFUunKndP3RY0emp0+dOHF2qb6c/S7h5oFI0NljoYn9hw7MaJ3tF7gU1T8Ez7EjHn5C2rasmVhvLa0sTo5ny6bs78GSvd0N7Qrzi2w6yt+9ZgeR3SX8XMooFtVHjx1bf5LW1S7yOnN2bnR8dGRsbP7lhU6lNTSaDfLaKPfkHXZP7Qx3LjQuTDYnx0bGPLTUe6aNQtaE7gVYAnmsRbYtQr5W4OQoGyZBuXkwQUNCEx/GxGjpOdYNYAyWo0iiKueqIpcgvBgkW1MISJDGSEhqoUJPsl6Ci/IFIBFUdB4BeQZpjLFVos8DGJkanPZO33qqROnRa06EPI9qY6MiJur78DhaCwajkdIaCziSr0KAqgxG6DKlQ1d6wEktw5WUOeAAtef4Q11+5AFMVux2DrI7UHry6A4ZcPbqhJRU8IkVt0oMX270Nb75Cyz9ImGCFLW8ijEBUJRjMDGCKNtEGLNZnwiFtsLYl4sJWwJIorIjYK4SQ8LjogXbImBOkgaAZWsiWIBCnghLSGKVZTDmseBaNKTIIzlqDE4EDKPGxbytNNGRwWaQhhGcNwcj5cVyaaJTmmmVzm6ssajCkKSh76JpE0E8Gt7kWlvYI2sshjdzCoKoXBV5cKei/IoNJAnZtWDQxGIhCUqCFzgCsFUxkkhJ2HFpKFghiQnNRjwK2FUSOLVJajsAZJskSLWIWgGIhBesjkdKMCTLMLgotm59ljkYgVVrQwBoYpU0gpH7uKvnjUSQHPHSyBY9jb3xhpsnLl44ffbk+iOlS+fDWnWIx1A3zRwem5g6f/b04f0HecV44vRL/ISOA7AwMjR25PDxja2qrM4EYiMh4JSLFjHznb0QLKbken5hbmIs21edgxu3vxIs5jx1W11bHR0ZRXnmzJn0l3ZKpX379vNThjDr5KDV58+fO3T9obHJUfhHRsYWLy75M//hycrqXBZCmS3pO8vlZmmsPJ713cbwi66jEipVIViOANX20cQqGDSAe1mhT0Y45iQvtgTweosqrnbqdnE6tyMwKGMujJujogHWS3BRgARM0YB8lTQASJgrl7J/nvcFHvP+VtTS6kJbG4pEuZCaHk0Og05zY+heLyn68ES/wExoE4QEY5h9RbDlQirZQpjY5l0kPDQQEyVXWcA8O427N9uFVBhGfZSpEg9C9o4j1lHxnve859d+7dc+9alPPffcczy+4pOL3/iN3zh27BivGP7sz/4Mlw5CQmKe1MYG2LExia2KiRIwhihtbsE8FgSLDFE2DMGEfdhU1YuBWqpUK9lUFuQxKcokCSYWkROTQg3KQajEbEIL0hfmedoEJhJgfdh8kvdiQw8GZuVQiU05+uy5drtzlI/fu9+8i0eDXuMwMkfZDA7bGgtU8WCDUU3iM/D/n713i5Esu870IjIi8p6Vdemq6iK72WySQ6s1EiU2RqZIj2GBFGFdLEOQHoSBgcGAA2gIAaOBJT+YgF4MCJDf/DCAAL/ZsuWRIcgQMdCIAqUBgRFIk21zyOZ1KFFsNZtdXffKe0ZmRoa/vf+IP1bufU5kVovU2EPvrt659lr/+tfa++xzYsc5J86BUKbIU7gbg96Zg8cx1lhpUuweBfTgKYJJUG2YMQgc1FgCFmxqJpbpqgXB7haAkScmBIr1CDTzKiu9ckdHUj69IkaE0iCrMAKsVFCq+yY0DEHFJsWiFkPUFzKOgkmvTRwxAkSMrDDXSmcoHvlevXJ1ZXlFlws9HpyL2ty4yrmok4Ptw4O9q0/d5NcQ+4dH1566ztHv1W+/wiuiDeZN0JcvPXX18jWCilnRlYkzVFMAfr6nn2v7Xite15OWTcsrPP/z8DHPiR2nd93wlgHenVhtRi4pLi89vbe3v/U4PY/HheXFxtWNtc2VvZPtfCdZXkCcdq7c2vTDS5fWe+PRGtc7h3vHS2sD7sdaXO0OdzmGdzmvtsNt9HsHm0ubHiuTx42lTsVasLaOR33B7PFBkBzB0EoZBWQwkUcYaq0JDPCJVYbd6y0TCgYVpeCn6WIAGnztbgG9GCxEk3mcsK0IklXbXS5WmiFmglwA3HQykcdWKQuMQ0RrgWEAKUZipUccKASDX6XAGG8BmOUomAdBVLbK5KaEAiOlkSKJLmRLQU8pwDSZIRBq9xQzMITIUMjmsV4ucicWemuMmd3kbtWXv/xlXkf40ksv8Xsr3Dj1/clPfvKDH/wg660iA9GptnshFC6FFd9C42Z0tGzBMOcgjQgbae0rF/DWmC2SWNnIhpVPGm0hZFHVhI2+tZJxLhgaqaJSJJEKmRIx7gJKFysLAV9romylBHiipmimDKZFcw4wiuhiWb7Umu7okSkGINztdK6M0ysL7+kRjdEWZMWMvlEGSAi2F4L1yoqlFYdpzsroTYU1j4PIkVqOCBRZEVCqqZqmt6kZDEYwzFOohjkZRSwAZtM4QyjOAialqWw1JwCWVjT5fIIK2SmZ0AIARoxfNbLyEJV5aArmcbaXg5rZ+dQY06pfIBsxUio6sooDWVAgmkIisKHf+fy7bt9+/fHOQ5pLg+Ub126tr6cLdqfHS4cH+1w9ZSjGe7t8eAz6g+efe+ftO7cfbT0AsL7C2uqGHrJAk2JaNb0taJKSlExwNeO9Vju7W1zDO+2c8kCsh68/2rvP7z156U363WL69WJ+WkR6vWCvy2tz2CjFve0A3/788/wg0SEIln+WmEciX9lM0sL4dPn47isPL91aXuqkX5Zxt27/uHsyTLmR/FF3qCdW0PTWQXbygqmb1FGPyQUThaYAhlnAJIBdaiFzpKomaeMxkuT5wqAobAWdO5QVE5vSDAiUOhmUSsmC8yn0ReYFldxNIrCoCsfYLAAFidkcSwL6wiQ9tfQWiGUksmBOIJqkNMAMDCNFVvCa6l5yoRcgLrkKKjVjrSiOZVOdD6YCpgSoTYKXMUqGGiXFzOJBI6RNFupA8o0AaVga+WgJGwcNvgmnF0KMx5wOF6b7oQ99SCPCFUDQ0pK0hvKjH/3o7/zO72ilJY0AN27ccE8mRGHvQoPVCUVZ4LqOmIK5BqMxeaPVyotQCVwQxnzMJsGczK0511bsVTBbb8GE1jQKTmkOoTBthNx1xLNkzaMojWzGIBQFLzSqC181qTVVEEBqihc9EoOUUUZTcAqzcZouF95OTyRpLQVPgROt9kanZwwa1lg85F0k1MKb04Jd0LD1vZiwPuYvr1pjMEKNiVYSYzWj+/GVdrTaHUGHmxgryvJyrNpkALMaKrpWHyiN4dIqEwkS8aiW1bVi0cRqmWajbAYLchQeF/TRhF6mKLTBhDHew/jw0UPOD165fE1DB2B0ctzdv/uD7/mxb//1N7/z+p3168/opAihd3d3uLTGzewx/5xU85zUTFNKj47vH/d4ugOvMZpdbcR068YznJTiMaQno+P9x4cHD7g9yskmgRNRnNPiB4+rqyvHh/kHTJx3Go+X1pfe8txbucvqDDo0/IUGvte//fqD72y95YWnFlcmB33We4dbLPbGPIJrb2vv+uUb165cS+Hyfm2aesBlEkzWRgwAYUxVCPISZj5P4Vg3i0A1GwC2BfupkGx9JrbnQHSPMoFi1yzPwSg3AQyzY5151DTCTBKRtSyYGSxEZEEFptAAjhqR1FQ1JkbROGvmy1ejjaymwJEETTSZDQzFOxFygcRLGzFR5/WTajNEQe5RI3CbPiIL2ZmwKGK9RJODMyutdK1/fDzqHQ+u8jPYxeW9jcVeuvNkcpN7waLUn3vuOYQf/uEf/uxnPytNAYvNonuxA8ixJ2pa6abZ0Fi24I5JiITGWDCDBZsQ8LXePBaELJoocZFj9G0clugb5ZiDZdgoYrayFiJPlAukTBAWepootRoAEwsmmjUepXqX8suFpgSD2QHiCNQ84Gul3RFECAYh6i3LfWeh0x93rnW6DxsyNTYJ4GNKtokfEwClLWYBGBlWDKyxODGjUaJWbnJsS6/WR1rlgybCogyApl1ssob9lm9FaioxY+Sr/Km1HqJrACLGAKcBxr4RKYAuuxCLuHCqaRI5sghj2QdA4VA64YiUrHDaKDm1hg2NO0VWBDlKcBMeYwRw8hYAFBjnIz1N8SA8de0pOwq20Osfj8bDQ1a0G4P+PQRy4UDORlriEQyd8fHwkJu58ud1eiq6qRwlCpDTazB6CmhxrxVWTmLlnxCm8y6rl5cHS/3dO/y4cTY+6eny/Ds67R4dDvrcZ5vOUS2sdvsbC4OlyWopRrRsin0uLG49Yn2xtrSRfjKZOsyBoHO6PHzjL+9xgRIXRoYaSzJOi5RtgykUVnonOfpmphkVgMYQdok80/jlX8AiwRD5TSIHYYyUkq1AkUzCunMLDL7McIpIIlXBIF9qMDYhSKZGTxEsymiEiQyWJSSWXKw3lTQ0sdtqZSHQLHgKFwHEBlJRHMuCvGqqOQBTFYcLRpsjSZwk2hbU4seEYIAThpAisGQlbwAC+tiUDFuttMYuEWalYedSsbSi8JHxkY985IUXXnj06NH/+D//9pf+6osE750u95YXhr2d0dZopb/acInQYXB73/ve95nPfMYaCxodNxHaspS+sFppntjhSCtmWe1VANwEBsac1teCCYvEIjKazClHw4pmY4aRR47RS3LUmFyCOcEUVPaVoMmKVyMbxxFOS/DRKJJi7hZBacJWhBOmIC9gtQsaXKQvfGOq2sdqdzBScjmHa4VPnXKtUImcqc0MmF2a3p0x5zHRXo1eAkhKhPFdhO8lDBHnLYSB1swRKZkhFUDhCjZhpIy9k0vNpkApp5AVm0zJCC9fY+Qik0Igo4zhZI2cpC0YyKiXLE4wFD6KWHEikIZ4VLO04iQWtTouF8kRZhmAMNREiTUYNaUXDJki91oQRo4OUfOY1hhRmRCAMABQIjNu44XB/u72+sZmv7dwuPeIE4h8AohBf3hEFoum7toVruQxMu417sDcdNCkZJmU3oRTzkme1d7rTvZHYIOV/uazqzt3Dk6K10vz4NNMnlZXG93F9QHn0tLD5Tcuxyi1TKfu3H4jpcRbcrq9QXo6akLBc+fhXa2uaCbjtI8msUbDIj2ElFpGYzyyMUJikkZUyNYYLIBMZqNJEYmRsnq22xoFeykrNVWnaR1uLeJYwf4OjIKesUrDVRUBpIZHVKqNBSNZQmG1yTCzISTG0NMCI4DwqgGoRGVksAuwiHHvCnABiy6WC0zKOOQMrEgp7U0ZQC1fao5mUjLyCOTDsYVlmRNTuCIWTcCUmIwxEmy1EMGmlbXAmMouFow0Bg237QL4xV/8xRdffPHLX3v5h37wPf/0n/yz//q/+6cHwwO+IPFTloXBwsnmwcHOOP18154mlbC9vf1rv/ZrvMSt0NN01Ghq5InKRq9GpWlTcrkA46/1FuyOVbI1xkQhkkS5wLC9TYip5pSv9OaxYLZag4u8jJGAUmDXTFDLBcZNhMyXKg4Q1NIIEGvmMWz6hoEgJACFiEjJADAV876AgSmOdG1scdHj0JFN4WyKPJZ5JzTvs+V9hfUay45wMg64RA3KqBEhtQ8BzoSrhJyb4ZQvqwcxyLFgEx6linhEa6ooAFM4xlMu0RplbXQwUiIUI4zemUeYZbMpq6hXhjFPhwOGPoKRmS0UMHwIQcuXNgMAM85sVvTyRRaDMEYqHzcVnaY1hQCA0pg8SEzCZ1SSVZRGEYumqGSFkyJH8wijmh4N+0t7u9vXbt7iPvfRycGI54BOHvORbj/f2TtgP2IjXuLdg36WFc7TogGhRVbSSfDt7VNg+gvP8fFhj2Pw9P5C3ha4eWtt79Hh4cPZxUSQZEvdW+sN1ifPHOHs1+xhWoms4djIi4D29/eSkRPNo9m6YZdnwe9ss7DqjJKXyBkZZGVL3bjjC6k60YYSlaKSESoKsgU7mS2akNHLBcFU0oinqB1ajkYahiAqIQsAGzSG00VhXBgBmyKV2KjnF2cODH6FUB0dlZJqIaMVGZOtMpmqYCtgESwZQMwKZWSIckEVTZEKGEWcCDKpxoUBREmNTLE+wgCwy+icovTgCxfpa37zmBwNMCOttxCtdkcwICrFU7MNj4f7J7sng+E7/847v/XqX33uC589HA7f+54XNzc2j0+OGAW+TC30eC9Wd3z5ePYrwsbYrLEcIMZGjnrlF7PEGpvyjS5mK5R4RV81GXHja8EMFgqMOSNzgSmaomojBMy00Ae5HOvOSm8eBErjXHRokVBLyDMtzU4B8G0cB2jNgFA0bcJXR38TWjBGghkQLBcYNyEBQ02xshaidQ4nfTTSQmR7pPNYo9kaS2wa2IisqRzXw4iG4qbcWVpxYNVt71hRirzOxxox1FQxH8ApWJ4DdowAyYIpeWjBF+nZJZPNPoqkR2lyCdroJrEVvGVTFRr0omWZhczIUCPDxpktVqL8DFMA89dUAqjGSghqspLsiBGGUnow6NWURrWUWCmMldhiCGRMESwX8qRYLxfXia2/dMCJpV5/cWn58PAgIadnnrhgx4sL8QYPgKBQyRdYQoaSMpsmzzty4u3tRmXA6cHd0TEPrV3KL/Ph/rfBwtrV5cFyj8uFvMGQkohYFi4vLG2mc1dy55eJ+wd7a6s8IkvlTHRUJ8cnd+/wE5FUOOnGwSr9zV8/eNwDcpddLS+wULojCR2uoqrZWKesph2k7wWDXQQDYLAE1YJp/5KcxnE6kgVndIww4bEiUBdskdZeMToAMVATkX1fLmxfFlvaE2XKYyhjquU1a2fJSgsCOKLyLLyMMQwNDCoFGEwBKwA0jUEwiQXjI4+QMoGUie6r2GpBbIwYBwQTWsBq2QK+FDclMKpxYAEQMe7RhABQTAZ8C6o6YgFQuBrWRhWRUNE8Gh8Oe/tHS3zLOuIbzctf/8J/8eH/km/jP/DuF+4/uM97F0g9fdOZ9h2vyVMWkdQrJfGkdWNPlJPqxr5FkwBoKMiqnUZsxm6bFkCtL9zBUKycL7SxiYGaRTdbXd/s22ghwaSZgUxhLlLXoRl8T6CCzU0cgdXuhQZ8oSEcSrL1zQfSOGKdDxpIcGlki3ilpzrqCxk2koew0BdNwZQ/+MKqJs8g3czPbrg73Zjg5VLgNVw2WSiyZWe2SQKbFV++5uvucmjlYpgC0aTEEYAKE8oiE2uSQ3aRUMBMCyeFYz1rmrZxUCBgEiCUIBLXGnORKDQmeRkjAQx6ZoWoUBYzRPOBwWEiaZklJF4qJqRpNinNGWntVQRCD0wk8IgKhkhiWpQkBoO8Mqocf4GpRUVdUwmzMFg8OmQdNVxdW9/eetR2wGCh44g4wuacHUsCayMWUIXSzf5i7/q7bzx8bevh3cedfKmAiPoVIZcCD7f4Qgwxh5vO6rWVk/HkR0hy3+Z1irMFliknwt27d/0Er9SL6c7y4N70WfBM1fzJqNmuASFUMYBoxFhsoxgPDEMqTT2wHhwAgilEjRSDIyoZlNJYbx7hxYZsQXrqwtERJdjq5EUid/rLKVtrmPM62qPBFE9uCa9aVDA7VrQ6Q4U2RoKbcgEjWGSQHJFF8m1UOEY2YJl+sp+aBKVM1BR6ys5VdzZSwQyySDICJAtTICNMDESkRDZy47jqwYeBQlbUEVZTYS0waGpYopvuvyIsMOk3KJ3d4/5BZ5GDTKc37nb2oe787//yf1tfXX/xPX/vG9/8Bu33/t0XX3r5s+TEL3+dWDqDJTqNow3nCjg2YmCTCYECRnUBRunQMtGkNMJqZaGh2RhFhKoBFFsuerEVKSKZQ6W4EAKOnzF1PtLUVLWmQNaDEMltdao1IbnZJeKRPQJ42WQwQkFbw/CKSpqFJrJZxoXQJAZYUSQYYEFsgNsAIDmPdZXn/XTSu3RgVol4NDQpioggfgsxHHIBQ8MuzeVCbsnybe9SegBpwkYgCWZWMhEGwEVWmkREboSJipoJplNEjTBxKgfYaDoHhysEdRO2OUhnKGYY0EQefcXn82Zzc5Nvbxz4xNaYpBMTRlSMLXqZCn7BXMPp7yROrDEQPHiBgVZR5sCEVKcKGATH44X93a21jUv0PHY8h5Ci2+vP3peHygvrgi27jI8ORuMBVw3SRca67B/uPffCs1eevvzKV19Nj3kf807oU/6B5FlVLB25Z3b1+iqvMOyc/XrCO3P8DNKC9mD/ID40a3lldXkl/aYJhwcP7gvc5WuFpPxHg8bIUCKbmxrbicdcmN09GiaxyZtJJkW31YInCTCz2SrBvoBzXpP80dsUZXmJLeLNBhi9agTpmfaa+egJxMktw/jopAgmvMgBSOnabBYwAVMxLAoR2agvAFAJZoFsKW4WJLiTPHtZ1BcMNOXuWAgmRLAsR6wUE0oWJiIzagaLQQWTI7VGHgAyJgrHH5oI8gLAmAsvjWoDorKQC4xJIByOD4a9vdHyMZf8ZtuSN7kt9nh3FqeQ//n/9D+I7fKlK//NP/lv7z289+obr3B22yEmZ7BMagNRn8+FW92/9KUvFRsAK8VgCyg1BGhqzgjTFJRGVDVhZIuEBbNgkRzZs8q0BawghJOUlFXBb2YJIuSQKrD5C5iapOF9rxFQK9sI0VPIzelFOfIIZg1NyRoT62mKyoQyFbQFGxjhResaNg2I+QvBUQr+AkYTTuemJjVeMZNHvbTG4n6su/nCh8nF5iaDrwylcbaCxZqIimJfmqxvuFbIwVTfn+igEhOGmgKnSmTzJ25UAqYZR0mOUVPgAaDhaJJDlQcjg8UgcBubwGAaczOVBfe0kVBf7jkscJIPAALMuECOQIFHg2NCadQRXDgmakAMsGMRUWyqAevYWg+I2Ly7aYOCL9gUTmA4lfAZtt7iztbjKzfeot3Gg56WPP7Y4Krb2e/ZonVQCJ3w06vP8GjT7cOd3hI/zkzPuOLfwvQ1iDyrnTNmPP6qtzY+2T7tTh/7nghTegtX37bJAZ07PxQi1jt720v5Ie9RSeg33sj3tmcty7qbt26ybdDfDXqWb/lyRtrdMIFFIH83UUpvco8tGIr0xThEF40GSClVqxlhpkIZ9Y4rQTDVBEWQHGFo4iZoI7SjhCIoTekjG1HMxjh4KNAzIeP5FU/sSAtVzSZO9GIWniZ61QJQ1wWAijYZco0xrT++Y0oRX7i3wTy2+IpcQqRCVmJWis2cjhXZzFOAxWYqfBVXxx/rtQlEKAYtuQRw6IKNZjSZ7Xh0dLiwfzzY5yco7COz0xVTxOJKb3TMWWwfGzq8/Oq//+3f5Hzf0vrk0XTCTn5F6D5Ly7f2X/iFX/jKV77y53/+59evX+du+T/+4z+Od7s3pgWJ5r1ICs5pbpO/Gik12tjQywSYsaMgUM6lkiPJUMRQuMRmQeimhNodDSaFiDy1LJgJa4A1dO3cVIkoGF7ipGmGKGCFLWrci6g3m5GiLRIG1tZZ0yo3N01oAU4XlG1I6W1tbJrzQZcXQndvjLu65x1+8NTiV1Ng5NgL85vKMHshqPBbXG42Yn/mAZuCQYWp2F5xYM0GMh6IrUeAwc229RN5ipZayaChyLGxBtbGZrw4QV6EDRi9wFcLEQQ5UiNzFKNg4mwfTX5cQ7MeCkwqojJAJKqnkPRXsQxTl920ILbGXsQkNSDQ1kOHxhvIbDyLc29v53I9zsGfhaTwMe0ok4ByIFsSeNszz925e+f+w3vHe5PLhby+Ji+20pLrYe/h4e4BjMsbPPdzlB/LPiPjC3G+hathu/MdmgGHf4budLYeb+3v5Xvbs3bj0ubaWrpVbntre2dnNyLTSSx++jK9xd4DKwwdpAvI9QhLk7s4Wa/LRSPkcZIgWrOJUPjoJVmcGrqIKZDMEEcp0o5eYrMGl0IjU9yUYCA0uX0R8FWt9IxhE2gWCcBiy0j0WPESbc0mk2sLIoeHjetdz1YEFWCEqEfAuU2Bk79KTA3kObDCKmSBj2zOp4hIk+HF0WBkCnrVEQ/GMAMiDGvcWPIF4HGWBhiD5g0hKh2aIpvBCLiwlx2O9g57e+OVk248ZSVcqNllVi4NhnvcCckzXCa/wz3hOcVri73B7PQVHs3fjH/qp37qj/7ojx4/fszWfe21137v935PHfOGpEkJESciyroDBUyO2t9UFwA1TSVCQjOIyGraxTBrEBTCPAgEcvIRKdmcOBpmZcQDoLDxgCFEUy3DAKaRpwALcy4hAGGEb2Oms9EkLxIuRht9gSSr6KgkGXaQtV60YBCEjEc9afCyLzIF/fxtYcI6N3HGmidFch7r+mjM+wpFrhqMBcmkobjUTjhSWWbOM1Zy12TgRii+AuqWLMPEE6NAWzBjhY2aYkc1owaTfBVOSA4H/losK3oFjTDTIsCJiVKzRZhkwGwv0lMTF6WEICprpGcaUAoeGPgdDOf5uFYInoFCwzJLJKoLF5oKSp5iRqgxaHCngBHMGOndJKLkyCMvOUpvrwgzCQJ6YZZW1obb23u7O2QQAXEbMtYyKVCEFTKbDM1CZ+Gtt966sb7x2uuvHueXG6afc3Nzx14a0v07w+XlAa8svL601L+6sHMwvLc/OV+l1U/jjxBxJDonsa5sXnVQthGnqdzkSfA3n75JR5I+3fM+m4cJk48TekxDPSyQMyAJFXaZCAMQm0JS41UPi5FY2WRiNgwBRxUpqTV0Uto9ImWCymwSJkTVHxGav7InBQyOK6RgBbMxspKewewLUlLTU+/FNL0UQ1ZHoAUDGwUZHgWSFRgaDj7uPlaKrRZAxgKGpmrpa2TUiDNqooyVEvnbZHoRw4kk1rIWbI6FYFMKeTYoVpUiumAGC6N1rZFYtd5CAICeGozAR6Ph4cLeyeCgm99PcZGusmMubwzYizmP1e8v9QYLxdJKoWePaXB+165d49YTjpIIH/nIR/7kT/7k5Zdf/rmf+znG7g//8A/lphSdvSYHDBpfUxlQCLgzYyjs9gWVkB4FN80QyQWLGsFqTmLVSsDyNYMFhysEkdBNbZvCWjQL8sIamyDJMGoaZaLa9dF0AAAgAElEQVQrgXOZ2WmFdJ08c4nMdARd1DQyoyxguEiTKScM8i2QbkZmpxdDW5YLc4P0zh0WzmM91eleHXceh1sLTRUFaDU/53NiFUxpkDaFpQPLgvi0d5jphZJEFrhmRiOG2oQeR9XKM67GmGCcM/MGiu7zewEhAIp/cO6OFAKcRFGGmGRVJo01nOiBxZzRSI+g8/ZaZvExw+A08qgvkFBiUGkKF8jRo/QI4GI56p1e5BSbGCRreQemgKkJM1cFTsbdnccP6Wq48wJv7ykpU/eijVDhVEOOy6WNS+96/t1//dornHmK1kw3vra8uLKU1rvXNlZWBv3Xt/d45ih3bqVD+NmdNPrmB2LNXiZ47w73ts/uqb9+4wbPLyXzB/fucyEyOiJzBis/YysNr+YemRBL4ajjOMs3pTr92BMscoKXVVsNAM2aBI18E9d0L0AjpQmjozauwIIZLKW9LCS6lnHDRYSABYsk9kKpIpjysdWBEIAVhLLiwubAJCuXhkCyX2i0tXKiiRBpHVRxYyBlK42CUtvXggAGF4QFzFEEw4oQgzbKkcSyBbmIh1r6wmpaDY6aYARTbQyC0ouaGimM4hopWHFVkaAsko47w73x1snSkNd0nt9nM2aBycXZw+7pwihfLEwzoPoMmn29dn8+9KEP/dIv/dLnP/95nuHOK3E+8IEPfO1rX7t16xbuFE0yFoN8ujgcvugpzBXz2GrBAx37H2Uha80cztqEe8FAE1ihdFYFQ9E0LObGOMwhjC7AKFHTKINRem1JOrpC08zErczeUiDhpIBHWURHH5VKtZE5EpokE6dpiSClAhkQBdEqhByZMBFQyKLiSDQfhteD8ZiTWE+dpPNY8wtU+jgE5pwbXTQsCq0aPKdqOGHDXUceNEzFyIi2JtchVd1XxDgg0sCGIwVBqxOFlpVAFAEkmM2jKk65c2SnCRL3yCO2WAODdv6q13gIwZuQ5RTfx3z9FJi+wevGNXKgKGczREEdQQNhpI0YyeoIGIqtMCOrNkzNiJQsR2feSCi28cLi3t62o9QCY2V3HfTcxxg3Oio60+Bdz/+dO6yD7r3BEyAEYAtdXVpcDPfGri4Pbo1Xbm/tdbr9k9OTOcd+Zsre/u7G+iWouLf90cP0gkUV3nV45Vp6GClvln74IL1LsSwssBbSkYEx8bC4IwjKufBCqRHWriSMkRI0e+VoQpqOIhNg4WkCY1TFHPVCqpa7MKrRmAFMlAFoG0WGWjZMvjHDyIYjSIoYMMlKCKVtU0alXRgTGIaCwhIKx3hyCysDCFjDCIY9pSAXZ9ELxVUds3UCIqEWRoJlmspQQtSjsRL9HEIhXRuJgGPhS1NId8QaCW4KZjbzR5itCFEGo4IXgn0RBDMY6/Dk4LC3f9I7XMhn8CcbNfqcJ3MPFi9Q52o+25DfovBUlOP948XVAf+ia19fN50Ewsc//vFXXnnl3r17n/rUpziP9YUvfIHJweufeQm0NycazwbyJmNnbyGGQWZwcbe1GIICHK242CvCUMa4NkXf+UqsmXu2ODC+TRA5tYQ2WMGs5nywOM+lZRjBOO3GkSFQMZVx0fjXOdR6c1pQ/uY0ibKlliB9TWi8eNSEfP4numiZZsA4+kSSWmZpxUPer4y7j/PvCmuANMpThJ7MbWAypAiGAIz60qVLnMdir9GZfxFyiFS2YKSpyTX5TeigaCgMmgRqTDT5vkUUBRUnNSQMhZtyoSmNOaMgkw7idVZGAosZziGUiyYDMJj52FDTbAg6PjDUfGuHme7M59QI4GiYhkK1mQ1zX8BbNgzBGZowWqFFTw2MgqwizMLiyvHumduV0MeDdoo4/ayVi93hpNcZf+YoL5jqm9dvLi8uvfbGa3yqolnsdZfO3rqBkgmxuTg4Go0Obu93eIETt8Yv8ornhs+Cnd2djbVLJHD3jbvU00Dd6zdvpK6dTp/nPjXEvywU3dRQq5ZSExuNeydBUTzsACjmCTkknVyE0cgIWcMglFJgw2qkTNR0kBp8gTGgFkDOARehFYIoUY9sWqhIW+unRlo5Ks8UeLqB8GKnEBW19hSsyNTsPhoN5OLoJ0I5koYJLSg3AEpbzcKqJiGwitBURloQA7V64SaAIg25uLNCmseC9I4bCZEjrUx1XDAUO0qYQygAl9oPxunu9fE697003L1eELY1eZTo4W56c+jqyurK8sqPved9n/3CZ7jhYnuXR2F1B8uT+y5wTwdHHQqdLprPfe5z7373u//iL/7i05/+NKC3ve1tV69eZcnleOqJBhdHBLsbEwUAmi5Syt0A8bgpQjcR2shrfcGMb0EeaSWbBKQmXI2xRmx1FAAoTWU8GilVW18ITCAAIi9MRTOGTtTVJBNeelvlJf4iSjF3cbev3cUJsm18zKlAHCwKX/fC5Bw15hAaj0BQDvRtoY180B3f4H6s087dbuuJMaLDQ1GvaTaOiTmxKrTTxsR5LL54cEjltA1UYFRLiL5EQemCSTJsFGRqlCmhXNRMtulRW7I5o4C7mooCQbRahgGZfVyhkduQmASGkCLZPI0CMPRsbkYjfnYaTCyZWCwi6yy9Mnf+BouKWr1WAm3ZKrSQkaGgBSZNwRPJ9QEmQqhAdnuLJ6Nxb3r395R/ckDnDcz8bAxakUyts78wYDJhnSTQS5c237m0/Nrr3+YxDUXOIoKDLbzU5yaejW5v9fbrr6fref1u/hEiD8Hkp4iT9RbPjz44PODHiHt7s0Xh2tr6+kb65cEO95OFe95nWUrqjfUgEjaTxiEOlGUyVJLUda+twaoBl8Z6QiFTakKbYmICSwOnpxb6CLMsWmWIMrobY0FJqglSTc8Tk4hHNfwMjpM3lQRc5EWtDJ2n9IoCmKaOjUKid4GcTSBCkgGmS/wAMLH/IsgqF7FRe3CQbTLSORORYr3AbppcMCMFqGvhgdmxIIwuNRteUqo2ibcCGhXxICPQFwAIeMnRUQRQLYBMwiPznvW9zuN0KZCX2sIg85utj/ZPWF2Rww+884X3/tCL73j2XWwFziL/H5/4/aP9Y3ZMp9dwD5aC8gX953/+53njGJ8i1L77Slb3RELq7nTj1TnLBDJizADeMgDL5kFJUTMKBaEAci9IiqaZa07zG4NGgUzCNmNnc9PIWlPwG2lB5DQRKNK38dhqgF3EIIBrrEYiCIxAMQZBzUKJvib3ZI3uZpAgHpDesQuwm0pPhxsrGwU4GXDw53Le4X6s085T486D6bXw2AvIoXIvFFqc85mF9BDBwFVCDnksF9g7dCoLcmJRBKNWgZmCrOjqoJDo1SxqrCzgdPqqCB2R5hQPWSlixERZVsgvOOb4AnbykaqQGQR+aOmzHXKMGEIzVmQIEk5kaCkRI1lKMCoFBqVgFuBEjh1HjlQOARI5Im0yXkHpCODD3iIvd44YM3e66Qig0HM4nTy0MU8nz8rmnc+/6/ad2ycHesZojMYBfNIRPm0vb17uHj6+s7N/cjw+4kfku/mE7mS91WPJde/43vHB0cKol477dBMmnpvVGZ+MTu/euTfL/EyE1OA2LJ2ApNdMOZCk7U/6CMekzEFKj4ZiGcFdRtZg2mpkrWFwKNJTF0g0BW3NYI0EakeXEGtjEFIHciGESrRGGQYnKRdZ0RcwaVTDOQkwHSg0xgsj2sipTNgKArDDsmmQhWHuUUwSZeFVAzYGIfLTBKO4oo1IyYW7AVEfZXgohkWh1hPavghRbnRkyh90dk5XTvqHK6udydsLIq03jdzNaeaDk92D/m73pLvAN2LWP5OvXTHaRWVepsD1QdCsgu8+uPP09Vvscs8/+w5emPO2tzz36u2/Pj059Q3v5aUNB+EZDRT2pcZpR980Ru6ke2KGKNRWOxoWNZbtKEE1VgTJdi8EMZinsBZNqEBqZ6hNaGIsprvOB6Bv4xeeIWrkdAjTIlhu45Se2pPJLtn7zO5ECEV3LGdifgsF0i7iNzkMbUi7mPPcT3GRw4kLtRnmCESXFxgHKvA8ejQ9H+t0cj9WwYy7NQgQ4i5OCCloJFDHKGqCVMFXuwa3ZOkJBU5DSQKzxoJITAuD2AyQgBJ+wNQSkBuR0REkoRl2hKivZXMiNOYZXQjtHil/1RGDrOiYxEldAITRjsNXc5A+ZSKkaS2g12e5+y4h1djy/1S0cOHp8kmXiwiLWk4gGaI2pNxJMvn2FzvTMwqi8hbVx4hjRU4hG2vGBKQHU/mAvHXz1v7WoHO0U3w6eQbJZW2p/2xvjbuyDj20PIsrrbdOjnY7R4/5ScTiQid1jeP/4rU+PxDn1bO7W7vVve1MJkaK+d1lDFcW18kKL3qtj2rGh5Wf0kOpTammZG9cHOWLu7uDrIJGSsF8QJByikp/M/AMWFYHKsBqMixi1vioiUkpQYdgZgTYVEe2KIvN7oBllSYiHQvlfNo2TrE5BE1xWhMFtgJFLhCyU/j3K0THFMHA3ATsVK0Uj2qUMKiDquXeCJYLMCELjJSRHI0xCJYjBhkYSUarZSbk4XifR32Ol084d7u4uNJZPtnf2l3vXlI4khebXdTEKsAsVt67uFw+4kcseSxZY6W3nDOJnnCxpVjw/+f/6U9/5/ZrT994y/LS0tUr13ju78c/+Qfo8y3vk8itZ7Bk93adJTqV3LepovkzL8WbfvUxEqEYETQgzdlotTvbw9PCykLwKJizABTNmCdyYXUTWs8GZIpNtRABkTPK8oJTgggbaaVU34tYkdCyOQVmHKQxeRyZKBfkNM2JUNAW4Jg/spoFpmiK00jHKmA0ZRJyTsI8qfr6mGc3dHTPO14U0qZmj+WEE4LIofKYIFOgpUimjjkkljBFMemjiPO7XDTUxzYA9OaM7pLFSQia1JlyNu2Nj6Elz+GMXnRQOeAlR1ujIBOcFCUjq3wjUjIwTG0jA4Zv2FyH4gSVkGiK6JF5mN9AwobgKRFaZqWBZtRxyvHSn8k2GqWtHo+/PKBmcptdWiHwH+WEH2EdHfM4WG2F1POz2875oNcxjTxzqDNnR6RRzcMjz57AmiaHebpKMz4HTJ/oFOQ4pMYgOKs4Siin8zFiGY/JhwevRexwnzvzjRO0q4v3dofD2fhMXHhLtJ0P9rlamF5uONp5g7f09Eb9fForLae0qMrILr9ZvHLlOjeR0FRiSptaZ7DoC9tIa1wGTePmKPKSI0hGXn03W4FkZgrskacpTYG0UqMErQAeNAVyOBJD1uRUHQmjDKwxOnpgqoU3EkGcOVlNz0iZZIORC5iaYjZMTSMRcGR8ElcuxtMyWCbA2jpqMuz6ugKMPCmRB4yiUEdORVQtjGvRAhbeGPTSCFA3C07DJGS+yXaUxswWzAn46JRnXewPF/c7fQ6SzFu+a6VvZUm6PNp+9HhtvKEp56zgMZWFGWd1w9VksZWzeaLFluYjd1zxjeQf/4Nf5uyydqLPfv4zW9yDlY9J6iP17Ds06fpih81zBHfMmNgrKZnNbHIDCiEySPbsj8iaFs5aGV0ki9NRLNTIyIYcm41gASJhlO2CUj2KhIm9OvrjUg9U5LRsTkdBiITmQYjjH2X7ihZ3tn4kMUCCTXDi4hAFLDZxiVvT+UeMZeWGi4r1tSBOYJg0FNSxyGWn09kcjZ/pdu+lb+uzb5lkzgWRglbujZ3CJLAEaj5vCiRPItVt79E0h7OITl9wLDqOexw9rAqK0nLB4yYAZJCQ4EVNU7UxFgCz6WnquFx0zTAJIgGjECkMJ1H4P5cjfo7Ahyivdsm/sOOGIXDExjxBAJuMZzoK8SRkrN3eoMM/5Uja0wEX5wVrvtFznoZX9mgRQJ5OtY1BPQWm7qtHEUwis7SzYYZp2QUM8Lbz+EOglM6GSHmmMhmiNAqzMg0P7fHBLjOA630MMI98v3r15v1H97mtxGB+0yg5bR02yfHpEVcxhodLi4PJz88Dd7+3ePnStfW1DeeJr5M3JxrfM8dHg05roWSQCzBNz4pphxKNBtmEEqwEqVmaB2C2OwODUEoECi40qSnSFJxuAlMRCWAENK6NVN9lEi21rVEQxmNVJ6AoCmEYXiK0teAHQJGXMYqrppVwmhaA9ZK1jeTIZPaHOOG8qLWXfQndyKmUxEZdNMVjEsMkABZeNbBGpDGGmZbffBzmt9OMF8886pNUWdBMo3T6V8Z7j7ZXRxs8ws0hYFOPEKyUwFDwFIY5pVhspfUWR6LZnVRnXLH2B9yfufCp//PPVpdX/8Ev/FeYWfV+4lP/Kh0yFsa96Usa0E/OYJETu01cGp+hrBruQGHRkEmp3sataHCjezH/DC4ECHFXoBiugIEBKU6FawwqL3iwChA5o2x+lOqU8NI3Ju8E7IsQOS2LMMKQ2/gbaaOvaZ2qrHUUh0Bo7EKklQwnxfooW2nBqc4nx8qhQZhM31CZExvZxoKjm4YddrhQ2NnsTM5jSS8YWTltCdRxeWQS8NFRMu7ioUlofDmDxU1I7EG6ccou9cpJplhDxXFQaWgEWALCIzkikYVUAjbJ100L7hQhPETMv7xwSB2b9S4vyNIoJlv+mphY0lb2npZpoeRFXGlBNpnI7AtZpOJJeyzWuPsbWaOmY1qeK7MJg/W7XsiK5w3MuoOUN5w2tPWNcTXOILGC9LBLCDM92cUAmJJiTA9E6NPInC1omADoNPhmPotKLT4JS+fkNQmXHYc0WWAdn4z6g+WbN5++du2pV779rd39yV3tzGjRcqEvb7fUir8QlJW74jc3rm6sT56b5S6QalxoohdeNU0+GigIdJyP8DTgWVl3Cj0FRzAU8NRqIkugBoNeSJEgswchSwmmsYhTJpACKwRKC8gxnGgFrmnxUpGp6FT0AqaBEjKFz51VXThOWVP3BYihk+d0nEF6oBrBYgYf8xTSJDQZQIqiQMj0Ex4MepGgEcC1aGMzclovQalKFqwNrPG3OzAXKy2cnB4ddPeOedRnfjtNkSKnr4xMAgehK529x7sb40tsDmhlrcffXjpQuTlHYLHFP62109VDX0kMOa1srBzupF+A/qtP/cu/+vZf/tB/9J6Xv/bFb3zr69AOlga4mD99dQZXZGZzm+BRdt9qJJxzrBHPlgAMZ1QWsq3mRLBcgNWMCdgdU5SFdAKRMNOfOdAAZnPyIdc4XKa1UMwwxYohIk+UhSxq0yI0MhvvEAimxcuykVGA046OFQGWNQhqPhGnaAnkLkhDXATOdYuNpgpNCrJDS4ABfaFUU4TICPcX0hrrOg/K0kd9PszBFnuqQMKjZ+M20kalGNAgKBw1t72zMKLwRV9grFoPYT2XFjBeDCz9Aqx7WtGIX4Sx1mFFg4Cv3AVA5pMQ18SYp0pusWxK5zLyf+xomVjsU1HrphjlieSl5eW93V0tsM46ztuvzyLffItv7txfwVtFCgqGiP5RGJa2OYOLNhAw5gDNNJ55izBQJvQsBIaSTSCTfOeQp/C5QJuYzxYsnenVwGiZ4U6G4+4xB530aJzTzsp6evkjeb7juXfevXfnzv07acOmD4Le0dHx0REPzUrpUfm0Fp1gacVZq0sbl9XBGAiZrOgFtfKUtbFHKJnkmT9dQIQNF/KSr5qRHD1FVIRAkBwxUU4dmZ6Nk6+s6BFUGy8kSodoIwejgm+kFZU0ABRCy2KZTAgGTco+HHnMiSCAvFTHQAA8YbC2gdGb07AIjpwAAMfhUlyUErzYokn0eHLL6y0hY4jIibWIKA218nQsI2s8JorwklWDZDDzXVb74+XjtrfTkDknsKJjkrudwZXx7uOtleP1QT99qXMm7osFJl6X55vM9qiSrK09WWzxk8HkO06vt+L0VI+nuAxgy8/B6nztL7/69W9+TQz8fnBx7exzsMg+hc/FYS5fvry5yZf/WWF7fOc733FbQ+NmLcAHxn2uAdZEpEfEVgsyMZkKjELUgdpocS8YFCLuNg6KYGYJ7HsMl+e0kJEw08+2ZBttEQLygjMCkIsQF6HFC1oKvqrnhxBGcefzKxmnlGJMCyEkKmfJIAWWQM0Y6qCscKoByysqoyyAag4WkESrZcVSF3hpCA9u4KeFfgZpW9fwwsTuQK0QJqwFY+SlgSUlOlXc9q5kACBIjr0omAGQAABhsLZlqwSAZdbZfMOFD7HF9XXWpQX530Jzclz/W4hUheDT42hvyOSrLLN9R5OTodOGAKlx9mjbFyQH9XJ6eUT5KVIuYsCdEmnN4xDSsHElADYmJ2Nqq0k7Y7oLi70xv1riKQpDrvotLK5fSs8OVblx/SYve7738A6LJ16YA9W3X391ayf9JlGdReDQsr62efnSVZ3PmHi2TK04nWDI7pO9UjNTSpMg0Be6r9uumf/6iWgEFLIZYiwwkLiWS0xAwxvHLdKmDTB1L2gFk1IYaBHQqEYwBoEQjgKA4kBGRo2VIL19AVhvsGjRZ9YZrcMJCYBiL8BxxKLesgTTiiGSACAK5yCFhJDJIFpgHEgpxluAELyGS46YYpEy1kW2gG2Vo5u8uW+4sD9ML1TmkXLhe4wRU6E8fTXV87d/ubP/eHfpaGVpkH4AiyYmYOBkZGa52HK+kA6kHJa5MM86Lv1bOjo4Hh2cMuH50nJ8eMxvBgm9wONUeNkHvzM51ZadBEvLBWWmWgF/5Ed+5NVXX9X2gIjHuPMcrLjAmmR8Nj2U7iQCTeyR9ix80rKXrXJ004L0nhbWIxRzFA2wWhldxEYtQbQRgByTFxtgDiIFrK2ZuSf8bRhFIZDKHJhNSlhNyVFjmAT2eTKHXDVCAXCTESisKfVpwSoRPDCD5UKtwuAUw46XXByoFoShhrZwj2BCiAoB2HywHXkV9M1TXgvdeZh7gC+OthYCVkbMO0VhjU2QRcI0WWNx5OK2d27MUqfsooOvtgJK3Cm2WhAA30aAOS2Y1gx81PPtSgxW/u0Iy1wq3d9fWU33TU+LDjfT1vfsb5qQZzerhsgDpciMKiOmwdFMQyOhSE2PAI1Kby/maa3XhkBfbziHcCCydQ4Jf5ouEcaRQsdGpNpYXx3zmOjRyZCrg6ed9Y2N1bW12Kkrl69wm63yQf/2Z5+/9+DeG/du59NX3dWVjSub17T6ibmB9F5ALDWVVSS3C0qSZ7+Id/woqGrpYWAXEAMfH+AjBr1MUjpcGoDpqtdDFB2RIzgNztmCRkqFaNsWwsSsoI1MAliTSKexYC7Ahlko8NJHZa0paA3WQKk2f0zAI2ZrIeBrd9MKgy/bS1ZqhsunzAGw4UTeuC0SaS4gC9pCAypuNVnhPDzdP+ofjJaG3K4U5zyAunDerdjdCszgcme4ddAZdlaWJpcODCA9ckhJTnYuopUzx+BCSF7cJNrjqaHppJWsWupx+ur48ITLBP1Bf2FtMb2OMB1VuJSYT5JNIqRYXERItwiQRMHOFGQ5pX3mZ3/2Z3lbzp/92Z9FDIyxKVlKxrRxw4BRIPVZNWC86gQA1yGAtTErAfMgUOJ0FEC1mREocxKOXpZhRlZtZS3ALOX8nGtHNPNDxH4pyvwQWIHBKbDJEaASm5ROxskjUGAoVk7CY7JLoyAYIc5FpjD5RgH29ngEbKSVErzAilJ0ITqyxuJHhfnZDSnKucOlMQFpkjkhyMEdxAUkD25gjcUxi8WWGQiKCeSc6ADY6fg4FBJfgWnGZGIXBFACwiTNaMQP9KKL0/ieCql3rAJmpTywzCzfA6nLgTDdnTo7WUgQBqEYBw8pSAEac8GryN6zAUf5yhEknKJFg0nby5qaXyZv5UmgEI+pR7jBYHFxgddwcJKhww8Dl1bWN68+BVsbs3r61NWnlpd4eOH2tatPLS6mb/YEomiiItT5oAHGPj5/18PXHW/MARJ9LQfJ5NfCTkpqlzoBDZr0wGqAw4E0WIQFGKW/A5MGxbQ1s2nBmBYZpB0L/qLZmIMYhIQHZskRLP4iipAoQZJbTK+IG2kVDpeIUSzxq2toxCykakXRVsMdABvOq2TmA4MppMiR3XQOiqI06hzkMhqfHHb3jvr73eX8rLaIa5FzMmeuuDUCB5udo+3DzmFaYymWYdNUz4yMrQ0Cv9rhQM1hZLDQH6Qd2RjWWW7yrHbWWHuPD8bp9NSEnBctLK1ypottPQs38zERAqsrPiSIxFhzxP/N3/zN97///RFgWSEdWAKb01GNRJDSNbD5+7N9oRUntZWF4IgI4C/IbBJlrtrKWjBgztS3F5lQ3ERoiyK9wRLmhGgziYdR4mCKrAIYQgaEX9HHEMiY4v6DYxtz7AUyvoQwW2GNTTCEBnzBLUICMQ11IRJGGXKmqJjnZ84zSDmPxTLr9tktAhshYq1OqXexg8iNIZQwVopz45Ys3tCHyScP1BEwHLzQC4wyeiGzObiLSz3CqqFojOtYCMpB4FSPTpruhYoe3yt5sDjgxzL/XqKzpjw83F/MZ1A0sHHc0MQ+M9QMMkrtKTRVjDmDlna2eVuXOAAVVNuOJrTUik6tpvhkZWMxsQjH93l22l56Og/7b/fK9ZU+v5LiYJ9T+db9x53VS4v57UlsYvlGcpT0RSb29KeupaWYIlLTWUrc2Z2DBXzlXgyFAQiYYKOw39FEoL/ulBzVJJwcyYo5L18+yA2WVbW3FITgpWxEYnJEZVswqGkGkwCG3GDJ1kQvZI8DsnMrMGrC4DSI5XC2xhBCSgMS5jnk85lzqMmMFJIapWqloZpMvC2UVUwDjWGSvdiiCVLf92SCpzFhlApNdJAqaCiYuMvqqLd/utR6l9XUo/zLSi8SlubQ7l8aH3VZ8pysLU3O78pROQQS0gu7cWCgB5j4jsYJKmZKsEhkwoel3rjDAuv46JgfUff6vY21jZXl1XsP7x5sH65cWo6vfC5/Hy6yX/3VX33Pe96DzDtzPvaxj1XB0n7F0JM9JvUBAaXl2qXQqM/a0oWpaDpK46YtwDTDaE7kqGnEuy/zQ7DnNx6hxF9EoVloCK2+1FGElLXOUBqSdJEGfO2IEn7yVBQBdFzj+eBt5LhIf+0AACAASURBVCYkhGnPBQOo+9LoBQzmCCYx5Vbj0TPUGg11p8ZYo2wjs00IOUiqgHEeK93zPho/rpbpdRQljJ4SCWsZAGAljKxYwLhKyE8L+X7Cp528ElcGMxRoGnMG4BDIHNEAwwk4dSMcvwRDYxcEfTgdpicDmeZvVWAFsD+51f27kMGka/qTah1w0o7kXknJXRzYTxf6RxiykW+h3NqdRM4LHhyuL6U7suU1oc0NRphmHtpU+aMIsqIDCpT4IMobRWD55jjJI5LTFJLNx7qTnwt2T0e8HXBhTD1G6HVOFzrjy+traRvP3WbPXt183FuLl3LAEwt+yCnI3uuJWxSloRBFhkZCggyGWSRykAWYpmD2EnMGlmBhGCUPlD6tISdVKc1jwVQwSymNARZiJo1gAlGMt+AOatysrwXcG5mNJDdkRdFQ2CTytuRTZrmAb8REJUDlLPLYcbnHwTQtAtYCXGjAuIOikheySlxvkYNPbkFbLJdjwvhO77Laa/xh4JS+9S9ZEa3VXBn6G+OTzohLB+vL6VHvJFOMQ+WRFCnn6lJgjeTrRByW4f7R6Hh09crVH/mB925tbT337NsfPn7wo3/3vZ/8N5843BuuXpoc8OFJd7pRasb5mpRVuE9TYDJQrxp9oxUYQWFAaAQXSoGtVFdjh21CEFidEn+dqvHA4tS0XgIhYhSdLBFzgSRQEUWOF+kghExcijnxqt0VQnMalyKcfQsBL4HhT51pOtxEF8AMyAXJY84maYtSgNUdexUCaQCgFHo3YxTANBvBKGNfuOd9tTN+6uTU97ybsBZwhJa0zdwYRVY+MEgDkjid+DhBX9z2DsbMBqs7qh3R4RA4rl1ku0w62z5udTe/+5q0LfjIgdgjJ4E6bdBUnckwNYDnWn+VFP2eZJck/Y+CrT1RV38Gs2uytrEwWhj0eZHF0uLZH3sbkRNVbnPn0sSBDaTMdNjFkU2T+kZJN8CdspBKSyi+VLCWYgnFwrcz5mdM6kRKnv8nfZhJIZ0GkSfvrJzsHxwscrQozMoZJfELk5veCwBrT8zpNuDRM2nlqClNZ3FvIzczMI8eYA2RE5DgT2ty0MldkHwJaSRvZLZShEQpAnk0AJy7y+CrPgImhzoNKXOQSe8Ul9qZgLFsq1yUG3UNELPwADzUaOo0FM565yyw9WKLzGhqsHITuKgBm63gARl7AYlPbmFizmja8IgD7rLiBvY5PwwsgjY20w1P2kcaJmmjR6e/kW5m3N3b21hK7ycg24OT/aOFfY7ii2Pv+5Cm70pY+Qq20Ocd6pwnayaUFiquD0bE8ZDf6nY++IEPb+9sr66v8sCU9734/m/f/mv26tEJp6RPORN2cnzCj1Oa34QTud7xjndwvePKlStRSUhtNm0MmhSPvrdQdJFSNb6AaxgkuKi2r5pxlmDC1+GMtDDHJAycjbRmkEAUFes1h9ycI8BPzqoNU1Ca0EpGIFvKuccCk9QCVGKrTWg02j5LT8RGmJVtAIUoAvEZQ/L2lQBDTQJMmRTguqkQWs7aihJO1UUUmLUoqYPa3cLeQnfjdHzttMuzG2Cj2NQoiLPuo8GYRCKBTNiUttILdh+eRMo1d8GonScbBS81qTW7ort5UMI8fwBhVuFoBxuyA5nnTQgTkvxnKudDFFzTpRFTinFUTad2t7dWVtewa4fGph077Q+I+XkRusXpnNFP6U6m63nTNkHbCuMGiyZJvSknoxZmAviUqcokvjqbVHwBOeZRBRzM04moUxbgizyHa3TCWoq1D5cXknPuaO62WKZsar2peq3fPdzb7mycORTD5B6RNgWNNtOsC0GDiblEDVIAz8A6KTOD1OjFcCgptRcawEKaoYCh12KLNDgtJysrrRrvKOoUOxRglDQFrl0cy31E0wiDhCI8YKVNM+plRRMZnJWsdR0ZAENeY2qNQoC3KQZtVMY+FkEjj3wNhjaCzRyFIu0iE9z9wA6QDF1/sX/Y2dsaPeCUlaZ/ZHsimU3Bxpi4aDC8G84l6q1x03n30c6jwXJ32NvvLJ9yIyOX2ve3d7ktnevtbMX0jYsX7zRfCmxgj3dfYeY2U056MQXTAHbGt+9+h2PtS//2c8++9Zk0cU7HhweHPMGd4UpX+H/yJ39SB/QHDx4wv0X/4osv6jENKL/5zW/qQ3Rnh+djT8qNGzfixmOzFaM/Baa/QkY8csqtKlIWpvnkkQNawIV7BEh2FPCUOZkXvlzr4SobIVTwNSDKVjKwFMIpovWNApx1Jim/EMWOBXh+CMCcOCV5BDMUQgxUkEdkHYj9ij5GzBy5ToC4Ghx1U7LrJyKP4Ngd5eNA6sLN9DnYuaN9ZE7G2SS2eutgxISe0Ag0IUeIA6i+gGETcHMVyCKaxkTk3LYFRlQFDCUFMHVjJuqXwg2Pj3lSA5ey1FRieU2UUIk5fYWTQJ0zTz8vzo/OSm00yUos1QKlDKYagRJVdtefzJhUezs7axsbSZqVqbH8O0O0SBOHpgNGi8dZNf7p5qP9/Y21VXfBY5hGJJfohGLv4esLoyO2a14wcaRk2MesDDlap1f8sNZlKDQc0fN7LPOT8IfdlcFqutGkMbj6okmF7G7OyQse8HKkNjJHmEwAlJgU0eQ6uBnfKAgs90gewQ7EGRFnEi8/Kbfogqy0xXxuNxVCdSObeJwhaQBW84LkSk/kCiRNXZu5LZPo4gFEWWdSBCrANT4yF77ngj0myt9jxTTglNUhbwxcTHdZfVfK4tJK7MsZztkMPaN2gzPIu9s7g+X0YcfUXpr+unDv8R4vPxgssV5q/Rw0iQU6awYpWWDtPTqAerE/eN+PfuDHfvQ/Js7n/u1nP/Vv/jU/L+LfgMM8N7v3Fga9xXQPVj2yn//85x2gEJ5//vl79+6hJLBMGojW4ch7JkhHiR+EBXndhJYMFcsRa5g0mq8O1AazHsIIJpZKDCRZOfDV3CE4Yks2WyFAFckLq2hjIPAFhiYh2kja9AWJQjDm6lphdbMIdEFy3EGqpwRSLHNGARMh0AC++FlAkxdURSCRw88G8mqPJiU6Wob2zkLn6fwM0jnXCqGlyAtBZ5tMgmD+YrjIQVsz6jmDxfoJEkokUR/1HQa912oRo0DUGjowyJE8gpH5cBidjHgui0aDoecJnLzKhs6Q2OQzM/Rt4p4XVkk+O2xnWxPsDBTMMKvFnVi8u4afsBn9Nxemo53+ZrlRkJKxyV/Q01+udzNYI454PMDVaXgMOXU8vaiXr+il81Lp1qi1pUGvy6NutIyaTAO7//sS+gvd9dHhUSedHfRUr5OxiW5iZVAYiBqmKeBak5Ym+FgKx8mkysuyOeTyUlw4IadAix6loqgWCSbfJEra2k1Qtl1AxORuwqxw4odWTeoYCKtCC6CmkVGIwwW584x6lJTohSwwgsiVT4FxE/eYeSM4JsxRAhfBqFViSlGO5ESMJiUgdyejzCO/TQiAPdo0gVEQto8eDxd3F1bSDwPLsYj+TyKnFdB0gzb4KUw47BQYNrIv6OnBCgIsrS51j8fxDvTCsbGZ7213z1LUNFDpTNh4bXXjQ3//w7/9O//8ZHT84z/6gX/4S//oy1/90ktf+sziMj9BnLicubLYGCAqmfSc2Xr99dc1uDIx9PXGi15RJjlvJ5NYiEjJxhezoUaigQdYYUIJCQWBIqsEauPFT25aOQGzSS4w0E2f5CuiFLQ0IcelEYZS5MW4Fc02X+ndhfkw9Us9vSA/LnFk2gIJQ61uKpD6NSclctBINmJgo0QTYDSRdk4gyDk0e4JFnkKG826/e+u0c4PnvPMS3aooomLJCG0bObAibTJBIzwCBRJue+cjhPPqvFonBsQdcg3jRbYRYAjrZHKcFIiHcR2NuM89rScgX19d4cHBd+7fL1ZOyiHsMFMRjqkI5mxLTufUPF6Ap7qfXWBpIyZejk388dhWQlIwDgmWhHRHYGpPlkpJyvakFDJxZW2GpZvTk2faKNMFX7//1ltvPT0+CveYp+UUh8F0m1S+qJc/IdLly1zgeLJj4zkj8t0zr/Y6B9sPFi5dYwLAqn630WPVrODQzYAAUy18GqM8coW7djocsRYmNzFpRwMmPCbh0RgmQVEiXnppCjBN9DJB5Rt9ODJTsKKkFF5oiKKdCBOySgGTyUplDhINY2W9BQUSAFnDiACY0hZC7h6WNvLoDqeufqIUv3MQjJqIVoJxiTwGRCVIj4wBtSB+HMUsQOSxi5TUvJKZ5y+cHuffvrIjlZvFHhcVCN0f+H6pdi8HqmbokKtM+RwVXdY+Iha+8nnd0857xsKwsdoLqhyVh8gvDY4OjrZ3Hv+LP/xf3//if3JweMA7FHhTaG+RM93pwqBdZje5s3UZLxvahK985SuYjKQPcatjYoBcFyQyaUubAcFygQepParQqwkbAIojIouKWkqQyGRIQaBIIwbw6CXPr2Fj1yIZXOYgxS/Oi5MXhO5OoY9NYQh3wfw5WpF/ZJDcFot5qRETLA1cLjUDGpDwYG+0SqlAyAiMjPC11yRMoIJcycwhjybjFVF1BEhW6Ne7nRsj7seaPee9RkYNw1iMDDyi0sRAjnhkhh0vjx5Nrn1w2zs3ZhVIza450yaHmvArkI/IUGn8XTMO4kcgIjciFOHeXFP8OVx6nGk6l8SOldvqY6pzMhzmspzVJJGXR5wuynOWM0p5TLRmyjtowmknpc4/mU48014QoRjbopm6w73kHJ05/PF4wIXeEm+06C9wQSDV/V5/vLeQ7kzNfozibEOdaSSe/9eXzd74wd7OYDX9WooJqaHQFi+GJY9+qrxe0UTNg9166BMV5LDBDxgZJU2K9NSxpBhhfQOYZgRYRh+TgTB55mIMQg6VYjF7FZTZrsUW7o13a0V3ZB1npHSPCow6JTD7Jlkgx2SQo68yB6P02pJXlOjoZBRCgFijh1zWSA6m0QWl9eDFL6X0KPFVHQNJRi+YXApAVIrcgGhCmYJwFOAl7/xjzJmMHN0nU9JOTyDwNtO2nJtZUi9zydMt3Vqe73ZAFU9fpUcqpPswjZ44zf9z9vTVDLu4usjDf7lK8O++9TXeRUjC/CaWkaH7l29e4oeEC0vp2x1ldpM7x3em8oxjrqRBZ6Myh6gjljA0i80ggPAR3CgDo8Tt6hGHVrL4iU6RjL4xaGMIlITAF8HkFmoXxVWs2npxjUI0BiIf86gj1NbUAvg5gCIQyLiAxipf1zWVBqeOW2vw5Shc6B3CesdipmmZYtN8geMOeB3ain6pWbsb39iLqORa4Vs4j9W0xoqxYiCNJN1xjxAiZ8xHyQspPcdxth23vXMey7QIPNNBN2ABqNlSsFwg4a9DQIWvBsfKRDv9hOOJHcesOcLP6/K6KGETHzXI3EgrpaRJahcySXI6W+QzSejUzoukdAkuNdM/IXMTDBs6j1VaiqWig1u6PXRymLOQzWUFiM+NUsueyz/e9rrAKorXyHS1kFpOt0Zx0wPXwmFNB/na8T8YDX3fOBkejlf5NEpDno9jOoC42dhZrN6PGCowBV5bJNZg1GRTIuBeuMRAnocko3zSVAnTNYIVXfxKRhrwcrEgr0jOPkIyAJhj1gvmWsNCEyT8wtPEC1mCwGgAmwcryaOMGCFdYxUADWATopSs2ngE4ak1MggqESM56pVMrZcmxsKLpgrWCXv+I3BjDV752KWAORkxu7PAGDSf8pXX6Wjc4d8xey4nfzqczXmiHZFczjxuqkhlfjPv8UfDyWmqfJ1x8qlEFzh9xYNC5xMUVnp69vTVzE6nVjeXh3tHJ0NWdHnVlE689ZbW+Ga3sLq5sr99sLCYLpumfYYycw0SVzSuX79+9+5dPTIxWCZzhckdlfNl7ULaSx1Uoem/c9Dm1G7Jgs9bdz45VhgAG2ZCCzZJiLNKGu+QBdLNyG+lBEexYP6IFENbp85NIMaK/AStc3MUBI3nBfmJAhJ+anfHQuyOZY5NwtdpGBMF80elQjiQBTDIHFJ1BIz9iu5RJhlc5vcXAAWvN9Iaq/tUd/wo354kHnXEsSKVOgvMSgR/QsQ0JIOX1YNDkx2B2945j4XsWOQDlfAozV9zWiOMSCSrU/QffxHyDuDX33hj6/EWzJk2LJWmn5f4clqJin17umBC4P6kFCrpsqAjBSLMPmoE0Xml1dTkX3oX8Ux/Rg7qWuQBUWkVxbJpoZvWT6rTeal8j0bKgFL7fV9oVvvdg93HJ+tXPARsXHpO05Otbf6kYZseMdhTjGduxNI4jjjigglkGz9Wm8wvl8jpWICVPFbtuUoPQMRbBu/fr3FY4LQWJj6MKDgiqzYewdlioojZSUakwB5MdVbKmA8kKFXbXWDxO6KtFtxZkOovYBVjLEgP0mBMyOiV/8SzaayyU6pwmc+vcCCVT4xuWSRx0OAUecRITscOTl8cj9J3HS22wtG1xktzoYuDbc5EG85OU8WF2vHwKF62ayc4Y4knwM4YcoOOL68vjVcXOWoy9lyU9JdBxnv10goPHT0djCfXF0FTzMKU/Ymf+Ak+AD760Y/+7u/+Lq5f/OIXufXKAMAMrprI4ta2EU9kEww828Y1AsWEhYA7JW5LA9A3yrP+Tc3iz3GaAzXyT70nfx0OoQ5hsPsSOaNs5BwhxjIMJeSqrVSnLs6vTWN3CY3hjHFn1TVFtLVRELLRpFgxYp2SQjhcwQP+IjnICyR4r10cN1rNhvBap3Nr1Lk2uui1QkYefgoC5AjUFPhVx+QVKNvPnGpidVXc9g5SjhyCM/3kJGtki1FiLPD0V8du6vS9fv+AzNIZrNHoi//3/8Ub7TK9QpAqz0nQPRM57Zx6DBTldIyc7XaTlVMENMppfEan+d0RjfZ5yvV+5wdv8jyCFDd2c57P95ntcm98/2BPFwrddaYQW54RY/BZfGhGeV4BQ3ah6WOIXKhlNWEhYNUcAxlXZjRBqrYLYGTwCJhIiSaygxppwabIbyUwB5IAOQU9yfBDaZQ0+WYeXUyOoJTEQz7g0ahEmGVMCqTOSj/1mOeI17n8MS54QigfomByDmqiiZ0CqVKD7Vjwx3yEgcFgC44SrVYahpCSnPzyOKrPyOmrGd/YuDpP6U2uIZ5BTBscwPgtzpluT00X+UsyPk2VrjNO1ztE5yTTk5++4mdh5WWZIg1e83w0edlzWmAtciPCIi6pB4wrjxs92jmd3HcVtwTmD37wg5/+9Ke5ZvGNb3yDmvIzP/MzPLJB3xsAsOsyG9L45lGWO9tAgvSYXNi0jVvIAAneopCDx6sA0Izk5gTJ15ca3KYBD4/COWgjWOHAs986XCNyvtJRLBR4QsCvcNQSCkxszgc4ShQI0cjQ2C/xz49iNqKA5KwMVI5oK0Jkk8x4spV1cIzINhlm4cXvKBbsKH7w2spq2oqApu7y7ZZrhY3hYEBPiV1ASYmBCrnAY+UqIbe9Mwh+FBAY9K75qkOqkTYHmVQFP03tOPxgkF/yA0qDtrCwv7d3csR3OC2SfEhFsFwztWou7sP4s1fyML9WrnbDjdUBv8XpLAyOjp9gv27n+w/Qwva8dHK4f7pSfO/XbGHTU5CZS9rx1WwbCJDaGc/g89qIlbs+rjwtTWJ+BMqc3dlWSJilMKAhJVNFQYEAIFD4uJFVXUBPKXwdms6C177PSsv6yI8sEgT4AVMLgN5IyULGcMLjYhK7WIgmhYj8DielqBQCR5oqIqE2rYWaH5cajxIX16Ii/8gTu2Y9guPiXrgEEyeao1OrnHI76fCUKo46nE/S3VoRrftEtRkuRhm90+mr6YrozGtthodD5u8Z6AUa809fQXB8eHy4lx9rRa7ckTE85XIh7yjktFamT91c3hj0ObIzvvRd2wAbvxPk3BXH/d/6rd96+umn0fzGb/zGyy+//MILL3zhC1/Izh3uMTRemjm1DvrexnOQ2mwg2SskzwG3mZyYhRrJdFGvMRHo3Fh0Yc4CrrFrcUYqAUVpm81g5phiFxyuCIE+diSGw8SQUl8whIZFG06hHTRmIpg0hFO5eAiQ2hCRMwaSHK0cOnXEJFaMHjGWQdIF4a1EgBb3OtCdXvcm74TujP27QkexEHlEpS7UqRZImpDQZXdBLpzHYm9ij4sPKgNJwUVdQL7gqIInH74I8qb3IWuTk2M+ag4PD0J6T3yscUfenCfJh+gmmydwPFzudTkEra2nF65yeJqH/j62rfQXDva24oXCejAYf+0CTAxKPZfQaGry3FR+ZcmlZQ6OvfGox9NT05Oxx49PB4uXrwFTqUNIw1aGnxrYnOmKlXyAUXTHSEFLE0IpxaP8UYofxzn8mHwBEX6+oiiiSXB3FxRLbMiYCOHoshpswdGFFyHKiEcpvWqZsi5VNCnmMbMEWSUDVko0oz66oJdVYPBokJWSvISJXpLlQm2SGikG4+UybZJWzTpXw13ovH5TKy3mS1q9d3uDcI0trVgm5YLc6TTV8ZFOU/EiVDKUP2fQOZv/pKev8v1bszXoNJfZX96Tk1ZX487T129du5zfvz4+/YtX/h0vKORcP698dg/6rPH16AEP69WrV3/5l3/5W9/6Fjdg3bp1C1Y+En7lV37lE5/4xCzCVHJPLEwtk7+Fvm1KRS/mRxvMbBZw1HzyLEQzZ644UFsIAxAcRZ/TMUSEIWsKegxlvUiIgkcRHbewuulwRUQDCkH4Ov8Yrg6KRmPrcAVt0aS/uMxJySEQJMMvASo7zgmnEBcfWJA6rwZ/DITeoxHDcRX8raedi/+uEF+omB4aCoWgllCMj/rIgZ7QePmIjzsaPhX0eVN4Cd+2UgSsWDEiRyVuoj/g1ZN0f3X1aHjIbu99vuA/t+mD3bnIGkCP+GZCXZvmaFZ63B3bOToZLR4NB4NlVopzwN8NEwP2N+nldyOFN8txuT9+NDzorW0wo7wHNZIBSPr0WAo+e0fj4yMeUdE9PeE1PlzK5UQEayn+hZJ/zMlp0ZNhp3NNk7aRWUo5IkOvPUKaOD/R0KSWC3NbGpTSy6UtyqQL+Ziv/Re8lQqtGjYETPp0A8xKS11AE11iLNi8VwKmiAR9hEVZJsLRZXWBGn70KhEcZWDwU6MUPlotR5Kc0eyDH5NhCDTVL3cBchXBCryV1gusXqMs9G4qFs0U7gJ3VilQQ81KK98UzyMlV7oDVlqTlPiTxNQ7qWaSEFV9dDjUXVZ0gVs0bUf/pk5fNfzi3pwI3N6uZeVP/PiHeAEXW/LBo/sMyNe/+VXWWDwHKx9vAXYb3nNy//793//93+crNcOnTYXnH/zBH6B3DLrhzSClNq0BFoC1mYyRACeCaFUXADW1mQvOotnoaCWBIFE4lBYMiILCUXvWRmubrBCFVYHawrnLxFIp3IsmGFyoC72bDqRk9CluK4J954TD60nHVh1xdEeM4czJqBLi4mMLCcwUCSKXxoEkOByxSKk4AekECi+a31noPHPe7wqJGB3Jny8hcCoo9Rx+HJUSWRkGIZcL2ek4oaUBBFZEIQTMFIeWnHUzJVbCZ+e0l5IbP3SZHqnseiHhTCcv5NEAigk3mJtUOmjz2ctDw9YHPO1zgcvzTcD/X5duUls72d857A+WJq9q8KRiHvBRP3v0F8/p4WOBZxaxE6VJM10EoKTRPpa8CGh/f2+wnB6urclJCG9WzVJqCZEGDXt3ijT9KIlWyymX6axuDGGkBGiFRwBPCOmVFabZCEw92Qs4lUALF1Za1MgcE4rDwhSe/ppEKTmoMcqBmmKwrLiAl0thiu44qglSLjSNzwSzXVDgaAX8pCEULmU8De0ExCZChXYCBKUULsmR7GYJiumJa2g5RPF6maXFyTuSEyUDc+aQFmhjxPSgu/EJX8V4UVX+kWC6tDc9OHMjKrfasymC8/kip6/YGnNw7De8bZCOb6xu8NV4dXVtd2+HCf7cW9/+9b/6KglxM1F/erVy9hwsRlOk3HiLwItxPvaxj+mr5507d3g3zsOHDx2VQWHE3WwT/PEscodoxHv7XfzjFh447Rhp0VOixjJTWcnL8SIdsW+boFiOKKFITE1qCQUVLhfPRPx0BBIHNWHkRxYto5oC52LkxQVFiXX0hVVNBLKac9iKXnaB1gwRgJ6CRjUYCZpXcqE+d9zA4BLnlXxjLEchxO1el3ver3c6DyeH7gS0Sx2RBDh8EwITpaBtbOLCQKkjRKSwr12+fJk1Fh8AFEcUJ3jy1xaf39+ZlaPPaXpfGK5ybMykVjbvNjXuYhqNPHWCa2PyN3ceRXooMnK6wTX9olm3+wA9Hm0PuqdHPPFoeLi4vDYaTt7idbGY30coPvfSvWr722lsua43Pl3mMdM8UjW/J5H9Ks9cTaK0pGr/4GodNN4LxN283ZXZ03F9SpLJpglPPZt4gUk7HVtWE6ANZg+TgMdLeoWIcs0DWHjV0cXkCOh9JzG9iPfFC5ZpZnuAeBzOVnc8klt2L8BPZn7TaSqzIdjXeILGQ5YBEpQYMr7sPhKcZwGmiYmiQOAlULsjWJ127W4XUyHoNzI1+OIalkesjQidf4oz+bU1uZphJjWpuM38cHjACVitrnQYmQF5NNcxz4jhAqS6a0urAO7cu6/INvmPO+9827tYja0ur3Jz/ZXLV9dWJm+bZTdzgNlzsCZu+baPl1566ad/+qd5puiv//qvczbrmWee4fOD5zXYzYK3kzUW6C2csWdztp+8cJkzpYQpIuICbYwiGKHnhJtjcv4WCIGsGoFYHitjEGJEZRWtTyQTgoKL6uirIXUCF+yIkgfM3ts4wg5XRKTJYYhwimghplTLeAlfm6IGmApZxY5E38aIdKFwibS1LBK5KCIYmhHpoAgkw+8Knxl1rp527s37MjMhgBMvZ2UqzJMehgNoEZTh5YjPBtJ24VFY3HvECtW3vUc8iUFI5m0bcch7VFYfdbZWF3qrHP749BseHMwO3pGrSb44Ut5pdZRvcNAiKa2P8uciSo7hucWxLV39XOWBUKQKNAAAIABJREFUFP30dS59HORnVWls4KFHdS4HDxcGw4ccyoZHR9z9ym9quF25hn3/aJhUHLbTgzT4UMr/5dVqqtjQm/1x5/BxxqQqTUcmJLC/cYGHkN2TdBtfkvP3ak0/z+0UTJ86LeGw2kX7HRpRmaRwTYy5CICVllwKpJoCS2aaUZDBoy/wjojJp7W00kLDBcTGnctRJEDijsTQRSxMsCmidg00NNUROVIXXg5BLwDTBNPWd5HULpEzhkCOHVRugB0oOlqO0ZVV6kWaGuefZzFJIaTVVX7jHHqyGg4PV8MivnlQphTgj7h14PSoxw1X2hPOPlkUIC+fHu92TlhjpedycWd9mhTTi3dTorN/8+mrhsNRRGmg0HAD1r/4+P/y4b//Uy996bNvf+vzy0vLl9Y2t3e3YojZ1cpI8cYbb/zpn/7pu9/9bu674vTVo0ePitUVMTSDteXi6EeeNn3EWIbTtFbWQowInhBPGkUMYoYBwTUm5AjAyumEOZft6wzP1RBCJSIZzxgdmRIBtQxJrWzUgNT2Um1MDIHcOJIcF+IOad82ARJcRFV3s4iooIBJ7E1EiS4ajTqi8iQQJvWFcJS2/K1/rZeuFV6fu8ZSOHVKY1usR2FTH01bCGTC7GJdJRKsHOtZkfDTXZQFWOEIxPJLeGqUwNQ8PjroLp4Ol7ZPd1mDLvP5whPVBSioYhMAI5P2g3Q6KR2HdCYpCUlMb7bPC6N0P2pq5nUSf1GmnWeyD7XOxsODA65vssCKQefLvc1rh3e3lzsnvIGCI+/K6sZJ04flfJL/L1rZ59mU9DUvDfIRIFd5mPMvsBjmtLEB8SdVTd1sVDYBgy7xMR0Ta/qLwL/09lpOMCyu83PWgE1iBqZA0/mjzEuYACn/cLzSvEJDHPZi6sTYVIgiNeA8S1uj2Bu2FCx/OYxKZLGpgzYh+KQ7R3vmKhqy0vIrwizD4INP2knyek7kxI0wyZgcAg34nGD5WWNHBFwo0gCWC828ZWZ68dix8JI+Ko2sTYqCHiFGiS7CsCEQUo9at1t0apDj6krmtJsvp1fdT/rW4DRRcc/DkFOqA65LzIY6HbjOfmdm3bW4vMivCBNneg/zKV/R2Dj6AaPu2YpBgPHjoKhplDlI8kxRHn7Dq8D+sx//4OXNy3/vh39sfW2D2XL50uXtva34Munuhz/8YW14rgD63Gkjb1RyxZBsoqaQ2QCef5gEPteFTDylCsLGZhGlwBDOERHEzDQtduY5k0+EfOBxUqEgb2vmmOlAUEQRXjk0Rpzfl8Zw6osiAnBnDVY49Fzw5eYemnX3DW4TcKkTVtA6IiSKQt22izYGaoxSIIughQsRFV1C4aumXcgNuRETlUR89rS71+08DntyBBCLop6aUELjBIi+lrkhnYf60sSFiLgzGaDlYj16DTJNhBQsH9nZuaQvogxH+/vL94b7R/t3OqtLl7kHgbM/AifW/mSdxOGdBpq0osrHSthEqNq5BWHe/h5gDSI5H+zvcxKrwdauOt5+uLF3h6jpweWra53e9/qRDW++g+2dmGfJG5Pli5Y06XRTPqamKv3jgybP6GTmfz7Kzv3kuQBCCWVOraXS5OW/dLtKfgo3NTeYjPgFIRMyPeaou3LpytqlTU/vti4xc8AYFmdm7mmqal95oU+9bF9mRUe7oMTFESOmiBhd4gdTdClk9kFWWjhCxSdjTJ6I6CPeVuvTsDb1N3ohg1dBnuMyRaWgyK5xmeMFTCW6XwSPF33kuyIFGZcJUd5MDKDWDNA+7t4dnh7YekGhXl3JcWNjU3dHtPGQCd8YT7uj+q2CS0srzL/CkZm983C77U78dPxjS6a1YvLjcSezx5M2TNUZN/dg7W8dnNnbptNheW2RB8wIujDuzS4R0rELLrBATjLKNNp4s+B52zC3inmPJm6niEeG5IlWVwpKrY8iBM1mC3A2RgQwJ40iq6KJr0qhVyxMRFRQ5AvuxqbC0XIUJiHP7s8CyJRjpip6FbIwKBHYLueOQBGUQbaLA1lTxKKJSdulNrVpoGVnnsOpLkQAI0yUJxpnJUatXhTdLHIT5tsL41uj8ZXTzv1y553B4RFYKvgZ5LZxRk/aFLzA48hXH10QxER3cGdfoGZA7t27F297n4XMjjCA0cFOpv7/w96b/c6WZPV+OQ+/+Zw6daqrmyqahm4abGHD9dgPtoUfLg/A5YE/AYn/BfFsyTJG4BeEH2zpvthCQrSxuPS9V23Zki+2oaG6q7p6qDrDb8h59Cfim7lyZewhd+Y51WNFndq/FSvWFCtWxI6MHTt2vTu/56s7M96a4rwVYuL8+ibUtjQ8vNgCeDt+FBSXo0NNMYB/eWFcxNu6uBmPbs/W08WK3e4c2dBhMKQuRfQ/sngsxv9xHrPXEHIGe3C3gRAnUvFyZF0KfRL0baVqIsWVFSnWpbhnhhlVmEvVVmE6pSbmGh658AdPt3r9i0ePu/vb52nN0KCZFBTF5ShKICCYAYTM0O4QEKgLw0KnUEHSqYO+mHZsWwgWJJBDtYBtyd5f0wLWtJSzUGoPELXATI3A6D5F6Z6CTAZiEmhUlxBTShI39BoWEnoRcE3wcEUlm4GJUhOVmAPeirIsKGUYAQ8NbjZKWoF1dCHN/3ta8sIgUZ3NFs2uoGThvnCCxW6B6VTPBPc/DRE0xJ+LGz/4zhBWmzp8N5BnhFlD4mkRcZbEHIvxuNlt5cyZvLitDH6c9i97k0GcdkOwFd7t89Lz3hrYbtGeGEq2fcin3uOSD4bG2OoKAaRkGAiSHmJFRQACjUV6PaXZYAAagf2txdMXwcaeJaCIJDyA5HMFg23WjcFkozwrrSIm6twoRYsZYOyoK9Eo9ir2IEQyAVBEUjarEXxQmammtY7ZVg4gAeFcTZF05WqUUlRQepQiiGmaEhYEKnlr9QgAvPQedOB3eK9wWXtSOsfyNcUkkvysSkkRGiEjgbTfxGgny0AGDQQwWlSTZQWL9S06JiOgr4JgREFMkTwg9sfrt6fL8XK+ppfy8JGWpL9CmWWvjNmOH5UZsoTdfo+fnt3MQ88spWGwf371dHX7AVOQaTiyYdLu8PD0kz6ywfSfAuBn7nLhRhcdzm7X4Ls4X6F12H0e8rGURSNuiAzoB27UB6zYNStSpRe5cU0qTKTA7Nal1mEuxYxKRu1uC3sqNm3daHcuHj3pu89lQkVwUosgv/heLmEY42MSZDCvdFISvRKqgwrusmSBxaKicnZsk+qDtskwiNVDUSddYrcrSBNlXZKhQ3dJhNC5jDgLmLXIN9tMNUgSXLoaO1wkkBqiVfFc88QCsfGqOmRlueENwAySJAsZjIgNSgXjWLELJ+MCkBnCeC3w7s1IPE8hvNt3lSVh/spwyP02Kdo8E2yt2XGVFCnL2VeGDz3MMrUap1LNbw8c27laLNmL0GnzafjMMOsUbicIQXqr3Ti/7s0ZmHijkE/ltBvtLu8O7uZFMiHMW0nK4H0BdsWDxETw437y7bpfEjqhhVFSJDkmDUChgwEAMCrLtUR+IrNKFkUkKFGEZKuv5y1SCiMsRTXyEhI46gxKpTopJWuVFSCMwVn6LAbibF1ML/RSjf34liQVsNCdjlIkp3HN2iCMKfWVRaOxoE6pSILw2IYEKMvJrFTqGPVMkRUBSGO2iNbENjpz1nue3cNhPxbf0lnVnrNZMk64ZSo0sgFpmrehjkRWtYCsPHgY1+xHGyw2YTInsIKlj4EysqNL6rxtUFId8PCiutlodXudwXCKZePh8OLqintCcdN5Sblw2vdziQ4iGbnYgH+QLCFo989Hg4uL5YCJwubIhib+LIzDhP2TyxKguD20dAhVaytcHmZQ4coffmMoBpnvMAZXDerDVof50/b2H20ID/iwRHMpvMMhjmFRis3ucdzDosNCtxSw9C+vL65vCF2Eb9F7fykigSqPbQiwUzTEpw1B4HPDGGKSiYVGWiSHa0kyS6JpwbbQONuRBFFKiQQIILMiZRMan6Vfk8CgxfbFgzHtnhjYJAuvIQIYRfTWhNiylJpAJJjfippDjFYKPbZhIRhdjUBDhCnygPmt3AmmBbIwrTkmqmO9ym49EPDLs++3utPxeSZYWzQ6oWN5gw3muR47HSwLYHRYF76/w50odzM+dGFhnft7aAtUn51lJljbEIJgA7oqt9vOB6wKRy2xzwXR/JLZPSJkoOe3sreyCOZ+wKCflBIHYGgkuyYEyuY2HrwWT7lcWaTFjfTqKjJgtAAbQFYJjMVHVmYuhi6R+0sFUSTTmPBi3lana42E6PisNHq9crhJMqUAhsS3tshhyGMBU2TavQTTexDpCbIwrUNnsGBAl9TpmqVHLyyq7FEtiwqrUSIWXdhAadCtvhIjilPgni45EK/xUbitbHYhmJ8Nk0hLapSUkoVAlkgdV2RqvcpqxDoWo4y2vRsyEQUjZmvU5v6uSRs9+oYJXG9zwEzCUiG7ifAKlIdJQssuOFU5M4SVsOKN6zfnz4ft+prDbjiyods/Hy/LVg5KhJ1WFGIshBk9KrQ2/8VJVJhCsbQWDtkJKFEFsqNuOeUmIRRxMcBp9vCXEZw/cWkqLkeFFSnmVXEuFWQl7bUdocrVbEu5H3QvLi+uH+Uul26pwl+MUJY2BQiV32KEt2BW1l8pUjZWaDdMeRrBiKVbCS5SlHBJOIwAqgUAiqSLa0JvigRAbIoQQsqlB4kobcyFhXuELWsl0yYkeKVWHVMkUSWKKDIuDUqwSCxCqKMhzVQ0MufjChk0Gl6AlYwsAcxOsXA1RQklRSSkcU2KSrLQ60SGEhqKwlb3sM69kTybzDgKnR1XTF1YAc7yYsNu41SmWAzds+7oYZTLTvtodgUrN3rmdq5Sea2/j9vPhaGAFKMmRBqddzfYMRbnziQCx36C7OJic+SDleA+wRYNVlQO0PzWtAmlquoqvJszhcE6Lq1Jb5EELxA5ZqTHZ2EoScITwShSrzNK5FgyZAJUMSlh8XopMhuMTEoTyQcdDoH6mOTALu+ZWK83qxQyqyyAcR0EsooSlly9IBmwVEfTmzAmWchopsQtCY3PUn0cAhezELhUZbIA0giSgRIYLl3F/n6t9s6ydlXP2Y8lIV6LYNjxv6IIjMg8MbCiS6p1VZNRZI2LT8jysgJdL6sFDIzYjCiAxpLFanJh3Z8Hc+eXV7kspcicsayU/nAhTwlHg+FZgf1F/CzHTXo37elLGiMc2cBLXq0WG2GK6E/Gy/NMkPQzVI2PNNzOYBD+BdFbKgbmcMrYydpSxq1cQi/cF91ESs/4NtMpbZaKz/gONlAwu3pir8rlo8f9s3DOrXqHxV6REBRgKqXQE+EAwfI4idlUp2BCI4FRT7rUVKRLxqARLlUMFdkaSi9X5Jj9xgVe5hVpgcC4cs0DCW+il35my1rqp2jRFOcoRUXmoY5+TTK9ABBzxdrTFMFOyjXPF1FfWlbqIBaLCKhjPNozV0aKhKXK7Ao21UjfJSQrx+rTOqEPsi0dN7iZFsdWmVtSrdt8p9ueDBrZnz5hcrWdwUNLcDCZ493AyJdxzmGE9O3RBd8pbY3Z+0uj/tZv/dZf//Vf+1NGocC5cO2Rxif03tykNMmKnStNmCtN9GpLtatJgAtFcBmmCoAiuEyvWJT17NJlV4DqlfJyEjjRS2mimiy6VClpTyScnMV+ZhJ+aBBsAlEnjboaPgHgKidI6FVBQgiupLKiBE8C1tXYYTnW54xxDARcEYKdSiiVXl1NKU4maWCi6ChdHzTDHKtoP1bQF5PVxZQy8qIIvWB0BVDFcw2ABklWKYiBOe2dH0L8wqOCkqyrV4r3Wo32pDbjtyABNecFqKMXVdKu7XW9AhzEUmWsPUpI/erJ9KP7bn0ZjmyYTM7Orzi5OYmZowR6YqYzSKM7EoiYhWlx9CYu0RA8xxWawLI3cnoZR8BRYpjD6T/94UXC8ICPpSluMLwiFR/2EShxAkdDbyZ3R6jZLgBUYqk3+lc39p4ggafYI5BgD16ITZZtNRVBo34HAI0i04pKDECLStVbgcHAaCyK6iK9XpHnMnYDKFUXQ5RVyrQbmQHSa1n6HTBIWCSniJdSEWAb/Z0rqnGO+cdkesCkQc9KmOolAtVL9jNeAZA8L7CvVC6B0ZsiMGghSRp4qzKA0UsaNRIZRbBII1eQICruITQhJrwEYGlQEyxUwFjfblwK3TF+xBAbNdNic7Rap0Sairr9DofFh+69TTQmzbnNbf7ylFBr/3v41OVFI0GGjkFbguTBPaFxwvSbv/mbv/u7v8sWkL/4i79ISpMsrrf2UyP5pjJikKYrtlC4vRnGyMoBdMGVS4N8EkW6ehoFB7os+dIiGOKiIo9PlEqXJ/BKc2UGu51zPG8JjCjTBXsupan2eoscmCtByES+sv6a8KKOkDhhtoRtJVxopMokASiVDQAMTwon9ApQ3RPDlJV5EmWhm0tpSCn6sB3ObljV13fuhxQ02Cx1uUpVKcgoNYEMmgzElk0AKBmaGUHgpUj11bZ39lj4kcU0birOnau+nozC4ZBhmrW/FSPRksnmR1GG7BQEm9yZIfWO2eqOGgbR6fkb3VE46Hg6X7TnfKCQB/evYbc7Uyv8c3N5UW93H+7vNhOppGa75koKDmTj3CzMzsJ/sS8AMIVgvLON5xEIByKEm0dtb9IcpRd06QOaYwtWaEZq1jm7uLx5rO/jEi2kRLY6GvarQyWlSVZkINWtAEKFXcAn9MqKANV+KgPSpyyjOgV4mzOJPktpGAisK4mLIpBcfcVNjoYFUwQN9RKLikxyAlDKrVpiqZR2ayFHkyTJkYtML4DMMxoVgSzXJS7pkmTgEi5oSDJYAK4QgCKrrAj81RSBhN64PE0uzAIfvLlFuUgekTH34SnDnD6++eGzRxg6yyJ8r4YpIm/+heTCdlM5w0SAA7HGI04E3MihntR1k3F/WIrEAxYb2ZlUcTXyS3aHdDstAUTH7//+7//O7/zOH/zBH/zlX/5lUop/FWrg1TZccaL8aFcBCa9lPYshSwBThGokK+vpTS/I3KAsiR4vx2BTYapVpKzZYHoBBBcZYJKrA6bajEl4wateuVWG2Kw1RijxYRG9yEyvSQDDYGEVjHXd1LdEVBVdZpgAbCP8SGhUAo8mYGlHJolaywZjV0xSZJgSwETBRRIXKmAxpVl2aXy/vv7cAnvCnncl8EyGxJ7lEkZdF0rp4soozIRJpaY0EQK93K5WJssKFr95QOb82IqyWIXhXj4Pv9jCQlbY+dQO3945lLbDzyG6k8tpU6w5gb11+Wg0votHNrCINT6/ZEWWFYX8Qa2ifA6CXiym1JkbwNnFzXp9u8d4jGwaRSlMoULzhmkF/xOgYWlqXeNNI67xAV84XGrvhrCn1We2t4PjmiVSV2BpdfuXj5/YZHdbg/DXG2EwfYTmo1RxaPhcAAcIH/tW6CTCWJB7LqmGwCSjCAKIVeSJs7C4IEYXpWLhapSmFMCQouQqZJbLUwqGxnTJwoNcZhIS6K3MtGABScdnIsWIQTarCIzhMa+iLhkjaXAxPphkkyYaT2k0AHBhG1cj86UehoD2gtIjc+FjZ1dRCKe0s9W9zwTLPw308jGAZ45MkQia8NbhxovhT9ahwvB6UvgVE1jCy0BemofjTqx4wvO+oP2c5ygusRUsTw5Mi2p29ad/+qfMrqhMQkBWbSA89OWroFl2MLSl9Sg1lb8mLLKBK1wlcZlwWRYLTZchBViUABisIn4oowuNZFVfmZFISLKJkKTUZ0VpVwW3J7BaAxTFBFUrtyprD/TSZaq9UsGmmqypLnFjVoIw8MLlS1Eq7VxJFIFBnYwBIMFFljHIVHsJRbB0SVoRjbToaoYBwCvVMArgWiQEPO8VvrOsc8+0OVYJsYpUI+KQoAJGKbMrs8G0Z6sMi3xlMcyzQgaC3NPe0cUBd3weYjpdcLYxv8n4x5eAjbfAzsNjZQHjcWhOb6RZS9btcsURMfPLN1d332bRMBzZEM7L6U9O/UAhrh6zwLBa6D6Gf3jdjxtSGMTK2pzC+F+YNtFKcV0qAGGFigd88d298AZfnEuFB3x7ByIc5+DjqLdO23HtoG3Z7m+jyTPBi6tr3YPxRjbkdsRbKFQ49koiluhVdlu4+0uREigAdSIA6YLrUBwGUaKBS+ODuoZE7TTtQ6qFVKtPAaPO85LdZ9rlxCh14tqVZSBkWi3UMcXIVXIgAJBJSEvGMYqIf/06IuQozWjYIbK6KJNkESENQHp3bHHQhswXkVXyZB72paoXpVumnI5xcH7FGQawexUVYdaVmYyGcXLv1rHhRqbt6GKqGt86zNdi2Pjh5xWPFgNjcRiggLldWHH0a2I4Id/uArQjDu8gEI7eCzTV7/3e77F29Sd/8id/9md/5ouM0SORUBK4YrEgICtYgHqCpHEVUC7NyMyYcsBUK/oTYmkEKbGJavpAGHOPTGiUWF9Tg70wkekq1dZvPdlpsFUc+RoTvRy8AZ4EMqm1JzsNlqu5GiAt8oz0opTKMrjIhqwiiGHP4ssxiNWdEnZSlljquPpaYwkuAlNkTFYOmA+a63fDb6jdOpY0Rs071aomV4RTxNjKS7gAYBCia658j8Q2WDaTgFig4GRLll7ppRS0rtQjeK7B7SR0bYYMHgR5afvwztR9/CeS63a6o9Hw2AkWprTPLkaDs4vViEbiyIbLDofWFP5qKjGdZwNs8uDma23N79kljx07vcV8YIyaS4W5k/6LZ53Dg29pyPhoL5lLiXXnzAhts9u/Jr8qcATjlnT7N6uCCV/n7Pzy0Rua7ij26GUah6vEP04TFyxqRDAk06WsroY0gPiULgh8BzQCD0AjXXBpJIGFRFbJEwObas8FHuIie0yCJ0AXiSJ0gTcaAPBIowoCKDXh0bRwAcnVcyUwBPw6EpKGsAeI3GsOMsKFRrTLjWSDylKlVgUYxQvXQSORKQvFZepMWvRLcaiFke3AVEbyc6+04Gg4DktO+xOdSLybXZHlNZ741mGOGN9ycTGsxk9bGieH1KGoOMdu2QDlhTiqArSjEBjevVI4WtFv/MZvvPHGG3/8x3/853/+53jzrS++8zO/8gu0yItvf/Tev/47IxMg70MmACRAQqMm4aqkUhrshLkLgWUNbwaY0iLVEKA6YRT7q1xNndVd0sxIlEr1J6cd1ajL1sKrpjRbdwiUsrwlGEKFhkOa9KKaJD8gzQBgaLjaTze4kjAr0aIi2AGQKcDopYWrAMMbgGpNRLK1NhoA2JFsQjDPT188pYdFz1XAh83aZ5kmhW/phKkS3kAmiYozhsoA6k53tR6LNPBQHusTxKICOVYvJGAz61iasUXNuhAW0cA4DjDBCtOF/JT21nyq14iN4wNWyoHVBUO/vnlr8fybvLIdd7uPu/2LccFezCKxMxYMZjwWJEB3DiFU59NJvcHLiWG6j3uZU/G/TaS2n5EJ289h23KWuS6WbQm2f4usyuC3DNu/GYIsYku6/ZulaHS6lzdvZM96VTjhXvXlUH13c0UORaREII5iAOdqI0CVDg69yBT/yEQXyES4stJrqqWLmAcDF3KKGMVuusiijgRQok5cokEF9PyGoX9JC1clqbYZknEZAC9GkoUeYsPnAviQRBHq6Npc4dKwiRyS5zIDPBIWEpiD6sQuXljMSI+n1PR67b4iHu8t8XBYuzpUd0+fwEQEwxpv/2Xwe7MrSgkD3OVHV5DZeIJmybuIBZGWaGHShsCskC1ZccmWwv5uHtN6n/7qP/u1r/7VX/2rv/lXEL37a7/4+J2n/8f//L/hrJ/7T375C//pL/9TnGPRPPIyjWT9yreBKcgFYK9ILC1mnmc0Zyk+LJvV6LmypUUYqYYXAsEJpTRKe1Id80nCUj1rGq3uCa9pR3W5utxS2KlabpE0coWApCz0ANgABi6USi+BK0sS85IsxDByTfC5WSnSlUDPGimNSCtSLWuLSqUU+UiQFmEY6RhPpQ68irgmcsiSrC4fcHYDT5bqte8v5wwKFCGNfpG8EJTUVKqzUzpTKiDhQjjmyZNmAL+A7+/v+RmnERN8s9lhjAnNFYcCPhzNGzOZiuyN3YmiTzTb659NxiNOBKiuRbbyoHPcvbqc3eGHcGRDe179yAY8wboXO2PDY939EZJ9rc9fvuTJ42Sx0tKUroT8xsL9YwyrmW281ch3VBvG/XvrrjgP2uralrl8OLWLKUnr8uby5lFuUMEEXkU4ligiLEESSGSVLNi2GnZ/VQS7wg/6EmJjMxqC2RitVACiAKAU4EtRByOY09SJi2uodrQcGwCEkVL0MiAwkQKJLkorqoPexhBVTQLBAyQpqI8JvGZa5PC/GBldQeYymhzzJIzmSViqcEm1mhuB4rKrqcgFFGM5VXq1tatoRo33aTv735yRefZk0JvEU0KbYOXaE5tS++U9XyEcZ2PhhpWhyBWfoXKIcEwDgkhqD67/zX//337pv/wPf/G/+tWzm8vh8/v/81/+7xqm3/s3f9e/2oyJWCzGg83vdO1AeCVBKDXzrjhCsgdQ7S16roZP6EuyUpcQgBQmV7snRiN6Pea1wDLAa6cVTLKqaXU3fBaABiGiz5aCkSJfJKX0RhJKReDlAMvVhFpSdxmZIL3wXBiB6DIuaZQZRfSyARY0ZudYuVyGhAt1yEeIIQ0w7WAgMzwA9PRVRbVZ6wkSGMMYgv+/9fpqteax3/QsfA0+oUmypl0Av5KlyEwFIJVoV+2w3MZxDsfa2/YeZlfcWDdBywDEHJzbZjyPAHMOWJgY/NqzNCjVqy7Wm9u4fjr9aLA5smE6rnhkA8PGmDWqsCaVxgPnl46n8+ej2bqxuattDduq3f7d4g//TTZwHGbYURyvbNeaYcdXi4W4Rr3barabDa4dzvUPfbz+Muz620u4grwcoitxBWB9zXqQSnc25kHGSOOqT0mapzX1HgmsUKe91tf/AAAgAElEQVRUeDMgIfNZUweX1IGRHE9msFTLNq7gpY4rnR2N9JGSaprkiuqk14wkK2caXgBXaEgmX3hMEsDUh99pKIUgOxSbEAHIMddRR1XThCNEybgoAuaKZCG3JOEvGkVg9AlgujL4Aw86E/oki1FxdsXpVnslGMOqGObuYWOGpwVYyzwmWyRM8EWdDRNhS0aVFHwym3X3zmfO0VsuCgb+bSZY1qLw3H732b/9H/+yd3E2G4X3j7yU8f3w6dOn/EwHSRtwLW8DNZgRSxRIuAg48XJNwktk2SteKmrULDEY065Qy9KgWinXAO589pQny3sQI/+YDVn6rfK96h9VQclEjlxqKqQ6RFVM1ILlDZFBA2BX2p1SY6wC4CuNaOXEudXHpVZBVT/X816yrE0q6AlyYeiRzPBUJL9EOyy4rYgRdVSB4Vh6odQWCvrJ48XqYl1/EccFawLIZLyvQqIdO5GpmuZWJ4uEHoE0hPmTbe9Yxe6icFbFfLk9gCWw8lhsuZjHz3XtD1pZuT8oDB+uZwhjo2+5wqy54ciGs8fd8ccwcmRDZz7ttNu8D5iVE+4PYWzhCPhweE6Ts6D3R2dKp4vFw3j+crLAHubjWyEG0Hhb3BF/HY8DKwjYUe9sKWYL61KNemc3l2q2w8fQwg+mLNNNc3W/mLGPjYCxmMmSeYzIkKf+To/AY54gF4aMyCQR1VxDG8QEsYCSngUNLFIHcTmltEOW2Ck82rFcMFephpLhDtjwAFIHcZUKmroSOylS8lqAJd+KEHWwgozPJHjhYvBUjZgPCZnItyzEBsNCAiPLyzVCQxKvGIHBFHHx7MQUCWCFqYg4oczNojx3dsUj+/jK4F7DmQQsZD2bcdgwGWDNbGk0HjrHZEj2ETwl3E6w8pXuk6c54wl9INtaDEXMpVKm+KLpl7/85a9//esUaXBX42UprZ0ADBaZGLMs5RiFiKcBQwKjqy8CllKulFLBxIaEODeLneWTj6A+poQdn5g6gFcJuESyZVELjIUk9QSNMuClmisJ1VSBIs2JjV1ArvEJTVFWBiQSTDtcaNfVVx9rZWeR2Fw8LAyX2SiVdlmSZcQAGCk9VmNwXPwB4BnRrmBQEbMZNJoBAOBf1Go/Q5vUay/iwA6GunPN2pZgEH7CHAvJJL8AplcLsTP4qsWXJZgMBlXYwaDcO9/mE/U/jGyn2x0NBuUTrN1dYt/C1tXj8fi2X5szlvMBofOLDi3BMoQ2Tm3CLrROYAPPwhW32mR2Fba6zxYvR7PRstbudJ2ufHDfhJLcyezFjByQ1agxndK6FDOqDs+AW6xUhaWpElN8UZNlrTCm16kswUbk+PD2lAls/ZfOS5yTNYzFv1jUC4BjYG7WRUAyQAlpjIkKnzXDYMxq9JSSDA3J8FJNEbWjI5C1oiLA/GBysPMgo+yUDfRBssBiBCYVVZYiWQK9aTQbioyEy37UscSubd2oyI6Kkp+rXXcKVJSYZwaYBNWRK0UgzX6MZ6Zn9ADUwrg8viKMZGZX3V43+VUTZ1d7irIC+WBFwQRr423OwWKNP56qleXOwVAXfpfSU3LKSlH7Abfe/cRXryvlDQ3zt3/7t9BcX1/jSoVUOUtSSqscDCaxIJwErCvBgUaLSDVzaJJtvCaKLCtGyx4FwCvtWS7p5ZobUrnIrJASTKh87IFUGQBKdBmgLFq0blzdq14jAqmgxyRwsCCmBE9WEwKAiq0pCWrB6ixb/aH6DCuJV7GflCClyK5UkFREA7tRegB6uLCTQQ0bgPGwDqwia1xBvTMArm83au8uatfbOZaXWQ4zUKICCQj0lOYBr9cIICYA1PpiBIayNuQBXJ2lrCdP3+akhkdXnWE4iOCIp3Km4hME4peQg7WZlINyNDTH7PJp9/5DZhfDKYt1DyteN4p7zrYTjk1/YWWrxYlgoes4ft484icHjwWH81WD9w92t2ectqNz4A55AAo8G74j2D1p2PbF2gsP+Hi6x1SIiRTTqVaYSuWuTB0wyBeftRuT0QOPigkz3K5QIchT73ieCENMElp9gSxCSPByzXDsEBCov8Oi21UVjfAbIxrp+5vA3gqWzaim4+iXz7Zk9xdGEnnZuSsogGQnhXChTlWTolD/mBJWGWmMcEEAobgS4iQrXtGLEbjEVKxCsmhUZbK4FDyiwJQ3hBi5kmCsolHECCcByy2qHTDqQsW3wQucXdCShCrXsLy8qnX7+kxNaH3k19f8sGDb5IHZFfLRznEXcZHetO31eZwX9n4c8xlTXKqINYnlwJ6+QBoQm2MagDCRwTrgK6Tg2eOT2kZ8wCRgXRNhatHQsG5oPE1pItmyUf/GBkN6gDK0H4xaz3IUjHyinCRL0AWMOgBTHeLmpOU3b0lJFWSDJ/YwlpCK2IvwXkICIw2NHqm6J0gjiPo3BuCcEwIAI+VhRJlYA6TXRi7wdAH6lYjpkFdXVyhVtqL295s1nd2gdSzTVQJgBjZAgEZV2VtLFUgl7EQI7CRZiLTeo+bds0W30Tk/O0cU70LNwtL9Jq5KRP0gi9jkPh4Nz873Pq24FxzF1rTPL0fD/vlyROO2OVSfjeu1RhzsNwJwBU3ZCreevXYny5TsYTK7nSzD3EpD0EaRU+7AYit8ydEMYuYJAs/1mD5ov1S3zd4pFptC8tJfF3zdXj8bDfAeflC0WO8gi1KiCF0Aid+yQQgjxCbnoIVQEqiQwQVvLiN6uaXJJBMIJYleaT6R5UZQBFivQaBowCCqiF54zLPqqz+SRWPWA1k5ZhhCSBBU0YhJnlHVD3V2piprNTLVcilZe6UGzMH7ONK8RpkKUvKpr5JpAZABpg4MXKwtaYIV/XPKlEAqwtC0bnT7YfSLw1St2earQb1Ou3f78V2gqdAbprOpm2BlWnldY4nr4WFadHKpLPFX7gSc6YwrPLII3te3za1rYfMHCTbqZsy//du/zUkNX/3qV9977z1DegDicsW+hYwyNEm84UkXVwFeci4sxtyiEiR61bWsg3liac+GrGjgpaiieV6sh9FLwnjzAKXIJGva7XZOEcRqCy/kFWHpQnKuHErReEI1YanYKKhQMgO0EwuknMC1qBWMBQA7GXx9D/elJTCMDJRehVSLBc+wb8mGJCgLlppLNKRF2TnWxgWZvmpOULtzxauI89am0vPy0MOo+Fms5vWb6Rvt6+f/OCK6Qt3p560GG90b9SaNnSfgh4Cj7onWNJ8Uu2zw2/XTxfNvMaCMZivWe3idsFlrDCcT7oRsWmaaQpWTwKbIPRZMtn9VV+7sKAIzwvB6qxGXplpNzu9iXarbbrE0pclUkZjXjmdCebmeDhe98FR063+8BEyvRB39q2LsKWJh1K98som3i4xHPpRwqaMBk0RMEXLoj0W8wttoJhvKiSk1MhhD5GwHHGASBFzNBgCjN4DORYJSxh/UaD6EC6XIJBnS2CmVAYaRCiitKJfR0wu2B4g4Vg8QYQTJNUuci5GpKqLiVvdcYpAYybvJYdMUfzKbsYq4svgwo1rXW+0mcnjo3emx6BMahY8uY9Kjtx7dfv9uuWZ6nWXdw4T50FlYmt3DKhN9gApao+LHE+HDddwX1C9yZG5RGf9uEevaw8tB/iPGb33rW7/+67/+ta99bSsk/Us1qLyw2SqpUbkKMDKy2SBLReflUZFlBKmUxxFwsKDxYKDksle5l6MdMvUEYHTpCgaYFCKw9CzNXNVHIeUBawvPK2Mwg9IiJ2ChyDxjFRhGG+ZkA9ciRohJVorTiuwxmlwAIdTFizIyb4MsoeKUAgOgDkY/OWPoASk8P/60p8qkGQBLlUgQPSpQx5WszsdioLhlc3W0JLjAOcFUJAA0SMC32JYUlWdhRDvTKX7tDUaLdXPZ64VbJnLq7DJqNkazBdtvlrt2KJf3gyjlOGtOpdrfAlVVb7t3Nu5cnS8eGOI5FovFfz4+MprMafXrizM8L7ebuPi24OLZcMrbgv6xYM4bf4WBbMI8sEdNBnuaNbafM+cLj/nYMtULc6nQpsSH5/yhwGetxmwyWLXSE4ZkDEaScF2VWIUFSnUrBS3ZJG7pPghUp7D6ios9MQDWZdBI1mhKAKmAEclcYSSV0KMdMhFIhUyCC1FVlJp8qyaYiozixQ8ksZg0som7rBZGo2oKX0RsXAA0h1oERkY2VZwfWggEVtbTgyd5DLCqCYCF2VIjRtp0PF21jhupjB2AY1F4ONg567TYwd/czCjA8/uIPADtdvP0+u6jwWI1Lj8sBVM58G+7M32rxAUU1jJpm87CK3oVEwJLJlhOtuRtEfHv8G40fpjkT7DwKS9+ZxvDm0V9SB5TDtNmVeLDhKBdBsAIki5hRQJkQEnzJ/RHZekM/JBCKckskT3oFYBqErGLZO8KWI6qablh0i6NuZTYIHUAuQQlvJgt9+YyGjLXBnlGrcC1SLsJMYD+f4KLVAvaJfEt+Co2QKNJFQAsDD0kMZZ7AGtRamOWXGF18QAeICFTyA84Rm7B/Kb2cjduePJCGCFoKXKRDOAqfgGmFOdwK1+PW9PaeLlqMjoQn3f3D08eX7PUU+//8G/wvtpsch8NHhj1PLI63Lh+c/V8yAmvYgmtyQ/fNo/ddLDMRhLo+Fhw/nIc3hbcn+VkHJJBlNiDvkZ9zfShG3dKhe3nLFC1Xs+WqRK9r1h01Vw9G963zq+yctS5CCrNBpK+lqU3DCxELF2Jq6JRfQEJRKAwRuwBiqQFXhJFFZUao1TDKC3qEbkqPFIw1gqoqDT08DjMYqpqStbXDu1KiS7k2xiiasIlUQllkrVqgjdrE6UJy9aE8KkxFdGaZq2tdSVcPmuGIapIKQtO0/WYAwBfvD9gOtTuN9s91mYZfg53ISZV/A6kn3TP2vB61YL56WVI5lXXTy8ePuIzpoM46bKSFJhO3dkKmbkJCPZ48VpM+UTNC6XJaDjzgC/aF7/Nbf+OB5OwfNWICzC5/Hj2jc+//fNX9e//w7cHz+NzUCfeh5RDF4KElLWZiCwKAXLZUKEEQcXoT+TAiIQE6bPqJFxlg66wAHBnAsBmVMvyclFe7LEw6pTU8RJ29JIS7yU0ZJGQRVbBiHFjwVYIWZQaezQhtUGRd1rTmGQPyAYwMskXCcYJDBmEq4aqLEGCwWxGE7gAkMkyVVIvslnHglTy0piNSSn0WRZRykvwGqM9Kzx2jiUJBKHci0xVAby0lLv9pv3W+8/v6N7QI6TbWt89DJgJmGE/CoDcxJKfVe1Yq9hEVWfE3X884f2PwPhYcPliOB2HtwV3o3bU5ZpKundNl9pCb4CaYxHC48i4ZSrsmopHJNBt9ydtKe+PWh5rr9aze/asFExtaRGiHU/S17j6mAdD0kglV3OFnoCkbyo4qW90SfAmvCCreEDdSkqhh6uoo3n50q6rlMqYikqtf1EpGVnes6wiqhcambtIOxotlVgOzclKzTb0kuQlrhhghgmJFm+DMVJNnszKYC1recYsbNZSJKUIHi9G0/po3pkwwPQumk/Pbj7+xu3wIUzmkNxo11u95uYfR9O7+VP0T41Hda1++BWyb/VOeavVRswuj9hG7fLNfv1ZY7K4j6OaL9zBcRK7QPQOFSGLP6rQbrXZRJEQlGTxkh65Go1J25dNyG5IZpP53fN7Kks+51M5okLu2196tzG+7N9cjm8f/vFr/27DXe0PjiaJFoB2tTYWMvo6XMrlwXuQpkiCQpCHJgAyRlcESiwAVvlxwYs6uBXAExucNRgMCQJdjdIAzCCpPyReMppyAHZVNpdMkqMVOWaA169VyKIhB1rEqyiqkadJYDPDZg+eQAb4ocGXCoYGIVyzRWDAa6UKGDImRjZ0ggHWncPMEJIrSWJzbaBd8HB56+RaxRzrZ1lhWeWsY8kGrqZdAFfZoNkkSosqa/QJAH37rNEYbgYaHls+vrp679sft/rhG4gFnktkfFLZTW234vtnZ9mt7tvCV/07Xyx5MPp8MF3tPxakqXNEb3H4hzbhISN7pMLbfHFRKh6RQPj8mM2lcqoZUWx0GfOgsM1xjttq75MS7Zo6AJAohJJQVNKYuc+xl7MurN5HQBpmjy6TgRIVoFGHAQBJ8McABhcEJkUmDKUiK6ExYqkwpbkG4wEEehZxIV+MZEUjsiLDvARoEqWUlhiMZCUvRBhEkeD1RbkwGk0pIzA2wwiGBs2lNyRkk/k4zKva49oZI3DNZkCdfvszX3788T/dTu/DDHs5498KGN5A1m60us3eow6LVW0elocXS1JPmpbIwmsfHSiS8Z2vPp+/0W28uBnN7hrFn7HhoV7rbDfBSoQgnwNi5qzll9rg7WFrV6/HVveA25fmcg7kvK6XH92yREet++fdnSleKDCt1Xt88R/86i+P74Zf/5/+6q0vvfv9v3/faLBPvQ5Mrq04mkQpVygPdkiTnADwKiASvLKUKmGDEng0AgNw5W4aAireomRPrpwECWOVYDUuUw2APWaACKSXq5JxvXbAm+GFg2fUMO1J1XAOpVw9S0UYUdQ3ESgzuOYK2bohxAaMZHPJSpCYysir9SSRIcd+jaGXgUO/0mQJNDJGujSxA5b2xPgivTL7BEeh+oN2/Wc5jImtUXHxHFEgJdCuRXqpJpVVABfRZPFs5KR+BKMcJY0315d3g0Gn129kfuFlJXwSmNyACK54BWVFvFR5Nl/e87bgeNHcO0QUZRtD+AM7jxO5eXIOAnMpLUrpGlZpMK4gjF/B5B8V1pt2/aPhfffqEVG9reuuiegXRB1XkizGFSIDg3srVkMDC4xogaWIN3p6423+KGK5ChCmiDdriZSCl1KEWC2yxAlGGjFY0ztK1fsOajcVVtmKeiHzBlNZlCJNgJkHGcm0GF4AxKqseKFMCJIsBPaskJrqJGqQ3KlNBTJJy/VyshpNGoN1b8FK0i5EnER+iDz94uPn37obPdt7QaHebvSuOmePe/3LbsXX98LsSrfvKN9Xg7Wr/qN2/fbRaHJX7+TfsOKCU3xS4czzIN83HI2YHHrBvjyF8QZvlmcWv7fs27+w4T1mV4O7AVXunnV49Nnk5aJU3javqCLXvz7//D/7pflknkywJJGrtceWNf2Lvw7SpDwxD6M6vzo2ODBUQw0AQMJObkKCvRBoSKfp1S0tK00GeLxg0y511luylK+IUaUQApCIwlGJGSIACXG5SVlpifAk681AbyJcZpgxCa9l4cryWmk5II0sMap2yGGAIEjEhXneBmAvTbF0QmDAgiLYs7xSLTcSPLIKpWbGNxvrdxbr+vH7sRCiORZKs3p9vYDVLlxX8UbGbgiQrOE1auH1eN5c4yOASON4wHQraCLotWbTSM0I5xkm5wR2uiUHMWd4IoLOzzlYvdqS0w2Mgp7Bu03xbcHpaBEOEbUigDCXaoTplGZRPZ7x8USB23+cTDnKg1Y72h9PEEfd1OaTcADR5gdw0lOSalGqfkcvCDFWISBNgoWuepD6hUoRJb3QeLzxGpl6GTQmLaHJZmUwKtBLqecFqZRwJWZouIBS7AlxbtbMgzerN2HZWrGLNzlBeMEmMOH1WSitsvDKV6qLJ8uFGRPgFZdmWsBxoJjfzp4v+qN6nCbsTMyTws+RJ5+/vus2774zZC7VvepcPun3Ljt+63oe3x4Ou5v7r19IqY3gjXate83v1Ovh5L7W5in2HjsZ/DCbzwq2dUYxrEwz4Mz3JoKplP08kzY3wdraYn/jvIodafys5auf54/7nnuz9w0UPvUFeHz8cjD/+w9AMvjMHkY8a7OFRFouofe8HibC1PAeKRgJJEKBJJgrRfgIgCt4mhldSCBLygopwsBbpDeXRQZQBEBNmd2rb4jYtFeJ9Vz5FZHeDM8ih8gDXHPNKEL6iniZBmcdizpKvTEJDVklyNALbNKOAlSvEhZvAw1KrBMS0NNGjAXGjgEVmxtrcYhnLNFuRTIDLcyfvJ9Vca5KJTbwrJDzsTg45tbW1k36IYAqYzMhjWpZwhUmq4WArRV8tCus1fN+HIykTjsQdzvN28ni/OJiMBhyivrZxd4BVIdMOLo8qKyWaMrhYDfBmi3Gi/Ww33rM2FAiYDUdt++/f9bmycX6YTRjmzlnufO15lp9yZb2Z8NZrdHqd1rhVb549DmTMAEMNgw3JZJ/eopw2vT+xer6iSKnYsUV5IScfksUdX8IlBALIOEoEjvBDFzEm7XEGBGl/osckFnKXAyUYsRmCNAr1eBJuSxCQiYAgzWQQm/IEkaKjEy8GJDVFdRvU660Y/VKmNkMOzBIM4Yslih5jRDg0uEwfMGFUhzFb7Pacs13thrMvvjI5aHd6wxu52/0OxdtHhryKNALrwjzMuEmUvbbRNEjHB+y71zxnu51eMbdmmBqIjy++rf3swoHeBoOi59Mx4wDHulhbmi+lJ+k+EaeDGRRGC7FXSTeGuaXLDvPmCh5IYLzz8HioPZ33nnn8x9+WPtuaJvRaP47X/nnvV//F3/4h3+oBsgKysUoOLiSrEURKKeo1dWughMhBDQVSJCnZaXRbMgKwQASeOwBeF16s4pyLQGJUrwEfbBjvz9khWQxsEhIUkR1JDbBk5U3dOUmB6WQiAIIRmxTltcwOOrkZhKv6cUSM0Aw+pkf6PEfMIqwk2d80k6WUrOkOoBehg/xSpF4zQADUArMFQKuJH5jqL7AWY1eWraUORb7sVhfOrjnHTlKCAGQLt3PFJmK0qwKYQgfzOWOoCzn1ADwW6q2mrLEjwcJieHD/dnFJcKLhJyAP1kWpjK6cwebL3gx+sP+RXf40fPz3pOcMxSiWcvhXX/wcXMVDmVgX0evzXcJl/NVjaMJb847ve7Zk8dNJrMsTZ06mULwybU5wXM/NJbLVu3j+5fda6azxx2JR0yqB9EdCCfrxeAVVACkokAVPbwQAytbxQvIVBdAKexeBaKUkANAka4AJFSIkVJ4RVldr1FKL+xIQ2yuzRLOVaUA0YRAbLAJzJVgSCOTXvCqixGUAPDKEng1epCV2eVCKGWgI+GzGsMGL/3N2HPAbxaO0kPGnk5KOcaYR+0slrS7Lf7tFVfOhPbcLF+FdwxD2veu4ZrdWocH+7XLyaQxb478ZAgmwpI6Ehs5IiKKJWtWrlfr9N5BRRgu2H1/3u/zGiAH6tkYwE6ssOrPZIrwQ3xcr2LGGedV++6IKuyS7wuk/NEf/RGG0iqQCgDJrc44AazxLF7BQKYWEKDmpKnIkjx7OYxMi61ySpVKqUzSNeGSAbomRa836y3JlSwbcmsH8igvmXy48BjeNgwAliDQNnqT9cJlhq6EY8Lr5bw6bC1iAHoFc1WtZQm6iDcFDDARyKSKqmVtUC861mwpRRdugZek6AWDCtmQ2zRmgLoDjGIxfBXgW83aFzi7oVa7ZzfDNsEIKGkGkE2CwUwFKNfFd+OZYtnifDgOMKrgoBmeCDE+cgpn//yCdSz2mDOslUsrLy0bXco5XWmv3x8Nh6yusWrFJlmGs8bFYjm5ofEdVQDD3PHu4/PJbaiJK4tP/Vr9bgt7OLjh8vJiPD7ilEUn6acLJBhu6vOXw0GbzXlxykLUkXK9sA3YTZuThYxAJSBVlA3aXDmGVCTDq9s/etULjKAIMNUAjA+QmeoqQqyCVJkEexUuGZPwYgAY2eOtlcCi6qBUMwCZ7RmLYNOLLuOFnSQW8EpegggYsowm1rjS8qFJFi96wo+YOQMLuztD0zPRgAaBceu6V3sK3G7bstMmwDafDvT9nHEsym4y21nVe7Xz+rQ5W6fHN/CpZp5vlBjBIhbLRrgLmjCvwqXtZpclbmaQ9XCIPNMp3gTkdL1IUptOZky9mEliS8l6VVbjboJFmNr86W/+5m+ypIahdcPGju1yCw1PP1E8GQ2AGtvCwhdVgWFPeCVQkrMSFA1c4cJCC6ksZTkGLUlgZemhAWn2eAJUe0t80UH4oN6sBG8Jqs14AQjUEKZrlv21YHA4wcBVDjGT0C4YgIQurkmbgmRsBUl7WfhREe1SLzcPadIo4Z64xBIzgzkcZKgmyU4voRzGWvoLEsrJKJVkswdT32/Vf2axZkWZZ4VySNb+IrEyFf+UN6hOK2ZEwN/hS17hc17hE7+dZvj9ijFopMnOLy9Zx+r2+u4TE0Wad/jt4LfDvCoUXtmLfopWrWZhOGMoX89Gq2U4qyw2ERe22y6u54PeKuy980r1tuBwtmKCRQEnjnbY1MWhgtOpJ/sUzvUARxf15sN53KymACNUoBSsaNEVpJoj8b+JhYy44qomM3w5gDQN1zaC+fBGmiUogaWdK1oEIx88qkmet1wvpUgwXiSUmw0BxKjwYmEBT0rs8TRZWHolTbUuV+0lSBEYGEkygKvwJtmzGAyN+Sd6a/PMpIiLFR3jFYCExSxMs5psrwrTkZQgoa+YDd/bzPmlF4XbazCu01PQPiMc+dtrzNPjG7iVlN9BOp328IF7TzyLK86rzM54SERYOr9+cnX7vYfFehJWvDpNjm6mtkZWEWARPUylSY8f8yr3Fe4j4W41g7KJLLqf3QuTIp89NtbhVWtxhTfbchgDjczzil4vjCuou1mSNUM2lFhSFKwn24kNSkgAkB9MmtpISq3zJKVwGSYXQEhWcpZScrgKEAGw2lqGYUliYVYOGGiwlkCCHRi3a09VLnEuEkZ0MdHxDjfVAOWWSKks99XJ1ZVFckugI+jGIHaulqAHljFcSd7Ib9Zqn2cdK86xspLLMRJlqrPE6NWvPEYKZiS10Quc/fyj6VuffZt97sMVX/vFY5s1sPPLq/FoREMUbXs/EDeJ+r1HerCqw0JE/aPhsh5f7BKLbUTCglWrF88+pjlm68nF08Z0PLt7/kGj1g4/VBlMW83VbPruRavLyZ7uyQFDwmy+uJ/M2V7GeM8c67zTWLDJfTK+uOohDT2JjZ9msx64ajeejx6a149VRCsB4D2uxIayWa4sBkoNQfASopbNUleiTm0AACAASURBVOZiaCyiF15+wMNLUvMpWHJZDAmxqWYwsawRlABGjHZ4uUovAIlSXZFglLnSxAsN7FxzaRKkFIGk1qbakCKOVoSL55UlNv6osbierBrhstxr8TB1goS1q9b2aza+9NVgliFt+SorSRXPeW7YPsdm6Dv1xc14vju+gQbgIYjbmb6TyQM+/uMrimfXPVvjt2Kij7hVliGo1a912/3sLNPoDwLh+YuayjcM7USivRWyB6VkCWBPokQ0ihJKsyxgFJRcSQqdXLLXgpQlIWz3A5ctPvzwFRIzcmvxWgzwQqTO3IJeSkEK0NU3kOc1OKmI8MjMxRuXAIRbc0OvRBGAUZoxAIlbjNeIcwEYiSibnRPK+kZN+XRha06wBAlkzRIwipPEnlztWSTGoLp6kJslZoMOfZBhcgtXa8esRsN8s1n7PJOck/a8owKbNbPEEpMpM0KWQyHCt2KCV9hTUGN9cDLmP6YpyzFrb3vnbfKUcD6djocDHhruyYqZzZRpO3MiMCM6BCjSN1UGijBWBZ0hAbJRgf8W4Rpu0gEbhkN4QiPyVmO4k7F/h9OO+TDfWa8x4yOKVxezdfvDF9/trDr/8b/3pfCFwXDDqz08fzF99lF8LBi6hhI6eVvwxWjGIaIc0Q7y+WjebzMHq00Xy85k1OVzOuMjXhfaCv6p+0ubXm0fFCaVJ5hpgtB4x0xVRR/aN85XYgDsGg4VFKmbABAPUhpDI4z86tQ2dhlBYltuNlGtbC6lkBhgSZgYn8E8gKzlJaIgphRpqhqwMCUsViT3ilfbTOUNu4rA6D0gO4XB4QKgB+/JimCTjPaEHYxx8XyMs52YYCV7nozgZIBB2DxWLESWpNOszkWdDwWwGHVWux7Nb3nNUIlT3f0EK86reKK55M0ZqsAmeRoqq4tB1fDrKafdrNZ8Hjpu8D9tmtViMqFo5joeV/pMD0aw/pY1ThiahFR031K4lIcd7EXCq+A1HHhjcgUq+LhaeIkFTLl5VWzIpQl+2SZpJ2dmwCJLEntyReUiJSopQkWCUXZrSPgrRutaEIDBjFyBudLwGOy5fkMIoWVP0wiM7If/oAHP1Vtr2gFyJZsl8J7sNGxL+rb3jFxhLiKLIq8LXkrLzTM7EyDMseLWiJL3ChNjJEGewQx8bpvVvPDwlfuQmBbx+I1NquFU7ruXL5985q3Vw7jTbrMNNMaFYmPd6vfYuz9hjnUWlt3DzopQy80xSAEKYJwohSkT1SUfVp7AhmCJoRKmSvFre2x6ZvLEI0nOGORtoi4frwkp/DRkIkUpZuO36LlQPxmKsbzd2O/1htPh8/pHrUHr8aNrnEsDffz+B/O7l2Fy5hLvDHJGw/PhjN/UCFcJWyTuJ4ubfosaTKeTdjc8GEWC46sOoi6/71QX8WNEyYPC/mzITYnm8WbTxCRaS+PDUaFOoMJLE8f7VpBKVtGrIsFenYchJgs7qrmSFcbTFMFIlqlYTgxAZpYr8iBApgzgimTBJtDY0Z5LYJQJALF4ZTmlYk/IyEKAMR4PJUk/QX0pSE9WAvtqqqZgqrCbOgDk4zS46iyzbzXzwkhYbN7udg8vFb6O/oG60uWrpK5SuTfNal/UMSzOsW5sjsU9h0kVVQi/8lgF382rEoG7LO7iNSrlYWysWlQwSJjzj9Pkw3uUYZv/MbXe7cEaDAbassAwefXmo9vvPttp3ofwCE9zksgwktAq9fAVJABDHgUg2aLkICO6lIxSA4Gy2ECq3i1NyGkAlsgtAOhFiAHA0ZYyY4z9NO3I9+pMuznEl2aNobS627MWwm5IhBMAJNnA8KrP1ECjJFMpBdAVv516I9y8hHEU+9aQ8JdaY6GNsFnPWL2yAFy4F+MVY0hTjbKUuZhvtmo/t6zxLtxYBzHt+1AsCCxqF/CMg1y9UgYUGPV7i83s8xknP7XWYRFrMp/N2ffF47iH+1sMZgAKc6ew1KS0mE4muCJ4INxu1pxxwDSIEQXrmJbxhJG6chxzt3NGrflkMtq7/GmGH1TUfW/OFOsCMhjj/oRJH7jdJdSSHHHQ7XZevrzTun3UW5uMRs/f/2A5HmJMoIsJKDwWHIfHgjzu3A54m/B7OVlecnp/o87XvNvjUf/86qjA2Cr5afzLoUXPRg+1y5ts5S28aXcai3DxLSJ68JYoBRYNV5sxlLBnlQoDO+qAiUXYAZQtojd8iN2YZIxCFJh44Gpk5QAVV91luRlTzqVSI8YKtGuUAOk9U1IXzy7tZkwV7TIbSvSSUGrs0Svh4uWYOkMGCW6yHfZ0xu9+4jy2SDLneJWlHdPCuJJYYkXFgCzfTLPIdK/q0zvalGd6PCu8rTXDY4TJbBw+xbBZryoWti1hk+oWZJSsNVfNUH2kx2AJk0v+zcNhV6ETxB+TRl8E7CZY+Bcizt37zJff/dV/8V/89X/3L++/z+6NnAQlrhd9TnHcfFdSmstSgsyNBqNHEcmCSfiSqDXGXABdSMstMiQ0NB5ZEXsW8Z6s3VQcBajzyB6M8a4IrtkOTwdlYjaiPPtBFk8AIxN0CUEOq9xaqcIAkUVb0pbyEl5Rey47SHxCkhkGoNc8g+WQkT2t7lSZ4c+0S5Gvl8Folz2GgfiDVv3z8/WL1fplvaxPGUsCcLdg7MZyGT9a3y57k/k9mhgWwlC+4pRAxoiwiFV7uL1tdc6/8Q//wN52aosoWYv1b7/1+I1HT3gix8t3V5e8p8xJnOFWuvVfGNHIhqugTWY7WQq/Zjf/CQVVSLH1QwRIk7LkUb/Dbgqhwpk8U8R0Sl989Gzwve9yDk+Qs034KDwWjN8W1GNBWbQt52/9xXjx5jnTxNp0NuNMQTa0zmZ7Qhzxp+DOA7TsTWPxYjxq91nIzEm0IQ1EgaYLZElGB2xxaEgPQKDJ7gnTBeQowgGy7DFQQ09Hha6QActab0Mue0KQm5UohGe1Z+mTYQcCjJcEisjKV1nGXIxVRNpPYIcRLiyX8cD8+jV/5ioVMjBuW7hRay63H1ZX6WrBD7c1E46wtHPolKxcLXgj+6ZwLmUeMlQqJH6dseUgzrGY93XPupzjID+rvMo1zt7ddGjBmzdudulE8KiUpTGaVAtajJBxTHQUDgxbHGg/MGqDTr/7C1/5levPvPEzv/ILH//jt88eXW2Y17Xuee+9f/N388neSQ1O1AZEYG5YZykNg2olMLDT8FytFPNIVaIBFtxakdLke0DGb83ZtB9ZDDAy4KIKQvkq2r0WUweAWIVLYolo0GhKs863Ii8wF0a7nJ9b6pEYgyUyhsfKUX94EKBlKuSQoD9q5QAhmih4RRVh2QO7NGIJjLKBa1FjeeHQwB7sdg3tCcphz45280/ChXCqmVXxjXpYx2Ivd8mzwkSUz1JrGg6loSHWq+bZinM7+YEVl81D9DC94LN6vFA4HQ15fBfI3EEPGPwrv/Rzn3/3s4xTzG6gfxhA1jg/79uMCYd6r6I9NHD0lapDlsoFxLZ627/e0ggHzpAgCNvV42d9Ahw9Q2Dd3t+DbI+ngw+/DVbEunLq8Gg25xBR91hwO8g6uofp6rq7Yr1txtGj49H55Q2H1wdtn6ZDHuAH//l8OF4SL5ubTRLMuJFI4ModGoBS4CpdzGsWPezqdCFsK7cOGiWKmIcdIUiLER1mflWS1w492erarbLoxQCuYLhKr2CuoYvFHzBZe0y72Esos7xZ7Vl2tRe8sg3AuEwgRSLLFhmNgNA/t4mFm1wXM+HAhTxL5PEZc46tM7ZspX/bLfa253ThUqZsYZDA+lr3pj77uN7sUr2jZSY7U+uLcI+Ltu08kCgOuyQYSMMuDOaXoe4JAdn0oNHx/fBv/4f/5Qv/+b9/+52Pl7PFt77+/4qHKdcv/df/0Xf+3XvlE6wi74JXylogjA8UhWARZTmeuKlyX9+ak3qEt1f4AAul6iTlurKlYsziq2AU8fQ6iBM5MobrQTkwJjSITTAVs7JHlkgsBig7iu+dSQ678UwFwKu0HTGABK65FsoeFckMYAEYhl4Y8V6V1s+VD6NN0XIJEiSqvUmUEjwIIQEf64f3mrUvMESt1qfNsVCH8VS/MW3NxnP2H7Awzk53kGyAGtwNO1fXNQ4jBjcd9TlW7OKM7VBUAJ5er/PW08fMmbF/OuXJ/urR9eVgOH54GF5e8JaOpkCh9nkRmAYlNErxprnNbHHMl5gCKpcIDA1IgNcbo4fpk3nrssN8dy8SpsWPBYNxLtE0z0aLz16FBX92mHam426Hs5s/PbLB+agYPG83Z5Nh8yocPQqVRmaaLMsBklLICDNKCcJcsiyjMBCrs4hdijyx9S9UQKwrQNK5QtjHn3wJ3ovKwqYddkk+yA4ZirwoWSXMUdW3WiCwqPpeUQKLHXswXtsbgHEg+KwbE16ypl0SRJCtPqWel9r7bArzS4lFsc1zQzYWpOXZfFg02r6yly09HoOB64s3+g8vBu0jv1KBJfzb07jYq/teUZKh4mElL5w8ENe0+LPj3a2JGddsPGUi9bO/9ovP3//+Z6+xNDzOZCnLJltG6QGkk2hvGpgrRWRpSNEAkCjyLFkYRZBl8dUxnl2dATNy2XMDEWQ2znLZc5HoKqkjpUriBfbWmj2vYoAXaFpyTQW5NWfjH7LW25FDMkuA9eE/AMiYVHEzzoqFnqY3rixBOQYPMFgg38iApZErqVyyaMRiEo4CkM9gp0FfjEiz5EVJFwYDGB5G2EsCwChzgX9qrqvMsWgjmZQIkUlnzauH57drNu53+c5c+KwQs5blgnPOV2ErArsI5tNf/MI7+JkfXuZoWpXpWf/scjJ9wf53JPe6ncl09uzF7aObyzDH2qbN5IhJkpsqxZnRpndHf+x8khiZm2UnWLPd42hQeAe3t/3xuFVrrBs7ISiNjwV3bwsSvLmiDDlZrEezJV9cDd/PmY4vu6cd2YANBxSZxp8YgArzRuHzwX27f16lUoSGugx9n8i0cawKr2hgJ6ph1/4/60EA5V1e7KJBNb0PY+DiWl27qdBEB14w6mJYRRZY0srtUfXFXl07MknQ29hrmESIOj5I2YMi6ZLzQYqAq9UokZDNSoLwZj8GgBdyF/3hKdwulxVlmM1sgynWoa/rHLO33cSXAyitXdycDx8eWv0KU7ytsGT5ihGvseREvQPTlS335m9w5iIcjMMEK860wpexcyZYkLd7nff+7f8zeHYrVjayvvXFd7w4WpHkMWoS2qZ663p2wUTJUezQK4kdkzCDQFEWmKTwzer6hDDYk3gGRSBlzCdtD4qSeskewxsAmUxKHI73hMFvbE2V9+BiRpWtV6JLNc0iEwzSlIQHxhJdpS4xKWEvycKYzJBKiK0I1cAKG+povwhBqr2qhxAGIAcuE34UEOdYYc/7KE6isg5Xk2FPkQrq8vbV50fzwUPru5znjnYwVG84mtxcnrF3AMH3t7dPnr7pDWPJazSeLJYvWZvk0c/mHkUt1sv33vvg+pov6njy1wwzKF5eXmLp/ccfTb//Ya+xGkwWF3z+JiZmSKP4tiCbyeLbghVM4VYQF7He4WRVdsRzHvOYIxvOK74l/Zqr92Mojkc9F/PxaNE9aoFB3Zag1USnqBdDEGLShZSi2t6JUU+EvSjIcz0KsZ/nkS0yIMsuk2DBKrMfaRKYpc/FSB0SsJ/rUQYgkE5NAsCA8PsnDj66Slq5QCs92QBzl/yP6oDZ9jZGtEqrUrDFxE+w+L7hdpq1lbMtZ7wNK+6WfY0AJ6D2z88n02GzvTdFKVKBGcnyFcazS37JR82UMP6YET3UPW6HX/P2T5HWcjyhQIsmNCfc27wEhZHHAINU8ngw0s6VpLgUgUWJp68Im9hy+o1BboAwepqKPpnrHKMpBxBeTpBbaiYB0ArQ4BZgrjgk+CimXF6PxHImVRpWYK84qUokMEAgx0xSqYzRVcb4VvMSZL/HHAVTX1ohNwwwDFHYYFdJxh5rNRgx4OQWRBS8bPCvODRjkhxldXy/VWPP+8t6jWMJ1HZWVAXAAMi67e4IJ/AmDCkoaIS3D/h4DnVnNWgwmD+60SBuMml33lHg8JjEdcyu7h8GZ/1eu33iWGEqigAOCF3MF3cffnv58EL2RzNDAOttwZebtwUrDZd2S1isaw+T5VWvyWA3nk6uur1XHKCK7P+JxJ+3G8v5uN5/rHlP9ToS/yTaDm9zFWzstC8JJFdDegC8+g69GHaySUB64lxY9DIAgmCNe3KiHidGhPMKBUszhJqnUSkGUAVIKOKaqyuLhNIMQAIEkpClNIyZpPrKaSg1PAJfxQAUHeVDiKU62r+5H/GbJWz6ruqGTeWCN+IZB1rR8c8NP4HlK/MoK0TsfeouVzP/tG5XvA/xJvQ+gjEzRZyWZ6aVbnI/TRBcNEk2RqtII55IUBLNNK2CkixImseng9Ik5yBZEQGqFYjBIHcbBsYM4yo36TQnmPASIBq1ZxiWyDYzCe1gvA0qKhHLcMYYKhY8wAEcOuauhMWKck2SG80kAKOvAmCJNUQV+iwN7CCxzRfJDITnOsQjccgr3okVxoolWSJH5Volz3svsef952e1ZePEPe+IYjLF68CLuMQdfnfy8cF4oBRHKvC7kh0C9y/vHj994v0jeM9lEYUXr68u2JLFFimeG2ZZXh0zehiMPvygPt99AIfvN49mYRPEy+FsFA4RzYyAWa2sHLSaHU566Hb4siH/+J4YX19afv996su0kd3u/YsrGsW7OivmU4x54Lw2uxsNzq4f4TSm3obPBXRLTjodjOChJ8gV57m8uUh1HwTSGSE4tuFiLwjaYUcIWQzgSmK8q82nzeWsvVp0G+F91VtOvT1nDXUvyQBQjCdIiDXYLmnsEeZnUOSrEDWHC6KUBAsv2xJBiQFQ5pIlXJaF3gxQFXIlbM3Z6/pGyUqOCYTy2AmW8Wo/eHh2Fp8b8khOgWEErx1odVqLMROsA4KZRedYQkWZdb+OedZmkztRiE9LbGl2Wu1e93t//0ERDVaW/GrPbUUThWoS0aCAMPxRAAYQf9VZZBL0IW7ilYkFv+N1e5ZJRwmsrrqIUiZRETMJMwTLHrsWSQCfhEuSFaMmVUgjS339SpVs8BUXRmZADyCrzBgBkqzrUQOBZwSGV0Nqgk+yqpesMtugwRhqR6WO+uUNl5dPHGJDSTx7YoMxgyTDuGKD3Cj/HOWTf2zVfv7QGaSmNwuEQ/Ua7VkrnC/K9k0uPO2bL+asQoEJi1jDwWLBp5Qzi1KxL2QFXpz3RyMOpZqcnRWeMJzlqoIZ3z/U7m7ZgO8bAI89jNmsv+ZNaDaHZeXgZdzbYSsgX2XlN8FZn6lVu8M7cOFeaPTr87Nn9y8bkweadzqbduZT1u3o40ZQAcCuncAK9D85JLiyN3m4rzX4jBIvCBPATLNoGmIbJ3s/U2dKSUk/Ep4rLLrFHDvCI1DdkOZGo7RkXRzN2VysFF7opTFYSxDMJ835pLde8iXQgImvfTH/vlnNbsdDvn9uvB4wCaqCxHqCIliOslKyJNWIq+EPAuY0OUEGVJcApVUBCbLB2E2aYXb2hK60tZNtSQdnKzvOfEjPDZf1dbvRXTXCJ7Bohu1lA+dzHo/lSD8mcwf52u7sKyMOsbH3RS4rORoIIywetyaUgOV88eYXPnv19FHIEoet5s3bT/7v//VfE7DslkiIIaHZCGXkBMvyEo1nKa88SMiKzaUsQqI6kSBjuApIGGUPSCxXUfUnO4koy+YqslIB0RxF1Z5h2AOBeUnZhLdKNrHBskw4GKoklpHCT6oQK6tETCmehJKs6HERgOCDNsD7iq1pErxVsk3aZYxdc006ygYvHGmSTDxbbHgVZlWWS47iSsIA5AB43uowc6xfqDzHSkxiI+Ks0V7Vw3wi3J/olRwZWK+zisPDPlbtuds83N49evJGdXuYWnHcw9398Poq/z5UXZRRTh4G61uehe5cFG6Ci+X9eHY7YY4bJkwibnXaYVGKg957PY6bZ5mKKC0ZcMTFMHn59O3BtwatOvPL1ZTqX3Fkw96CtBnzKZD1wFm7MRk/1Ho0/QxvM83iylY2jQ9Z+iJM7BCnv2+IWDRyRbvfn2Tq1NHUbQ0JEDC8UbuYtlaLTm21+TZx5iYF/no1uZvwlb38A8AkSlM9bNBMi0ohXuqsA1pWxngaFXFlZIAegtxSI8sCcgK82FBFglklYl31y7OKBH8vjzNSj8haVwkTG2QxaUz6dXP1dg4Xb0NBCsrifxHGaoeqZsJ8xvFcTOAOUDPC4IegZTeRVI4VLBr3APuGtPRP+EVLoqW5GuXtd57xz7IAH/xf3+DKFOQrX/nK1772Ncwyy2AE1s1bUeUZP2lYZssGrhjgNcqeilYlvF7OsTCWkOAyQBKkQvbg86xY3ZWz+OqYpBaMjMIwKNj5+2YbRcAi4KoOD0ZDSXWlCaXkJ8iiLMRKEACIDD8IMKuK2HPxVIT6Ik1Vy6UpRyKBodxGNCNGoE+GzwLwaiCGPltaBfONMMfCIbuzGzaein+8BJmk5hO+vuII4xrvflILlnvYdTmaLxrLWf+M6RETt/Xo4eHq5kZ+NgO37veydzAndkJ/ezfgJFJG+F3BqRDHyxN0xs2QxtuCPBbk24L8AJjN+S517fL6+jOf+8yjR2G9jbmXXnI0loMA07LR1WO+ZUgbTOaLNkc2hKNYDjzwOij2p4fgprV+dn+rJ2gMJoQeDuRGwGqWekd1VxClDCxI4H7BlXAllbMbsZHBghzdfaKAHAkMZMyrmotpd828as0abi3cRssilg8CXC7GD9NGq3tgjdYMoGdhHsYIoytZM7UIsFGluh+8KFRkJUgv9ihBL0yRixIJEMt+r8g7jFNGD85X9njzMmiJd5b1bDrjh1J2tJHNrJqF/4rS5sYa7haQhAt1DsSbWRmc1Zav6n75CgleJY8I9/QnxXtlZZnwK1BT2vPz842d27bJ5fvqV79KYOEI612MuUeuuqeCkUDrpliX30TNxqHpXVOtgj3lQpy8HBAVm9bNKcxHJVZBhDN1TwVGGulYk6wJ8lVWwJpVEvX48WOYgDGmolWirKCqkIRa4wpfdxljthmnWQWx10trIsFizOirA/Rk2uLgTFEmIZYglJFSgTHwgjzqUWNiHhLoLFx91RKa3Kw56put+ruLWrNRu4s/tJBDSnyVL2EVvmmznAY3so2XQxUYMfhWIMuYnfDlnPDNnIe7u5sYHibBe8CQHuAJAytYDw8jFrRyH9554oMwD5+Y68XBsRbfFgxfbl7WW+yLgJddFJ//4s8/fevNOJkLoydfNeRjhrwVyEd+Dgo3gss337od3LL7DBWMvOfse28SWmUDjvF+CuD8y/n0YdZtdcIOPMKPWTsA0ywSvePYDoIE9WuNlgQzCYEW8xaEIdYLol0skgCNBHLsY23Og/FppxYeAjKJi7Gl+Drckt0m65yDAWO4+xp61ioERZM3Dx+xgSQyWXVYU6Qws+HV4COxFdnhQi/EyPEGHBzxvHxvg4SAwQyukPkZ1Wby4pmPhBFstgV4vvcx5urCZJvuZtR+xxhBOvl8GU4B3OELIJavwhZ4J0A8QsTXCOOYW8BeER1+5dO6UHPldwkAFVAdikTAYkUeNuSxgIRwVTJ2srJEV2t4IzAA41/lZoycIglbo0KVgU2jGeatKhJiXK8LkCXeNuwhqytd5ai+mlgF78kVMZOY3NAisgf5ACQA765Er89CrDp65LEwQuQKiTLbTI5M4krKjR/wVWZpJlAAXIbh9sMcq+gmZCYllQ0GbUe6f6rVvnj8nnfeIGShYTEK2tf1xmxde9xpr+YLBpR1+Pxz+HTM6OGe9SHaOli7M9lszwcw9erq/P5hxK4nPuScT1QN2+l1ZvwqwZrwWDB8W7DBq9Wxl13cXLFwFaZE06lWzhj2Uc1GEI5IJUCZKVacJOGB9qOn6+ffpfeGRSyObOifj0aVPmwf64Frdh2/Ws1+oqg4mXbMPrb25uhR1U3b3rll8NyQG+dRv7Et7BFF+NE+APodktsNi7zJYBLoWa7mIPHpMM6rQoic3F69ZmM1vZ+1Htscy/fEXDNspKUi+nVdcYgzaahQrRms1BkTCRocbAJEtsgqipDA1awyLeWA2QCvKWKosFEhzFdfoRdgD7+KvA3ETzvONzyyHDZjIpnLRRAVfGu11uD9nsMTI6oZz76iTpHZCdt09WQFq9yy4tLwEz8b06gvZtkroTltWrpXkJdBrBKFADQqAM2pqwVNHusBHNIOUBQXi5dOzl1Q0YklZh58ZJOILxb2OktkGFclWQIsvxW5C1ON5jRrVP0SXuRTqoYTbMRmFVHxik4jLI+d3JhhZhXNqoEbC7EtG+qynCIA40qqQ1QUMRqlBxI5GIAZSACfFJm7ZIAX4uF/aNW+uP+s0Jfmw8t6+6I9XsVBrc73cab1Ro84Zp87s5k2jw+ZY61qg/v760dxq2WUkpiXLzliry7P2PM+XCzPX2HbOyG0bncmw4cXvC244H2x8AOPu+X1GzfvfO5dZloPDwP8xp4fIoF7OUNF+CZHvAcwt2PJmo2FTLxK7FTR1RtPnt+9aC+mEE+nk3a3r/5+kPFTAnngpl37ePjQvrhKHMK8ikTr+F3wnkYRpXu24bNhD5mNveV9QUKChLi5qruas7kqvsjBoHT4zmo2FAFnzLEGL2dn17xfUUSTi9cQoeDkyuhHyqUsQopertDoKkzWXUUSoDQzaBTIghHHmOElhAnV9r76KjvcMSCZXWEYoyKm0uhFdfH4/R7ucluQTVecdtfqIq1SDLSadqJ1rGFmmrWZeHkjToKPi6FEhcLII8GQ5WoADQbMFbyuuFuAGCnF117IsbDJL2eETAkygMQwMLS3N6xc2mss3ZgV/9CvbKBBRa7HDqpG0kGaKgTeMKOXSVxJJV2XIuqi3m68RwHIL6IvN8wHmPrwQTMwFa5cv8HLUEVRiT1mumnH9wAAIABJREFUpwyDUqOb4YVhBl9FiHF54B9a6y+G5afNs0JflA8vCaTaYh2e5vCTllfx1AVjRVa8Lc1TQuo0ur+/uLqqOMwlirTt/f5hyJaspKh6tnV58exu1Ly4ecr2+36P0yXul3f9Tl/rWLwYyP2bqZWGY2aHTIwQzjSLET+cD8gq3XI5nx/oubRv/8lnZt/7FqPvdLFqjwf9ixtkntwc1Sv4k0FJc1zXZvezaauTc2QGniQRRUyzcGkS5/QsUrmrKUUCvrLRL7fP8hAwbq6a9VZz1ikI7Hg/rXRPrd4QF636aDpYXIQVu1wzSkRREbEQchoEyJbUXSOGrhILMe4yIRSBB1OiNFtk/sQMuTS0wfFCdhOsGgc2FA7IWQMMg9Ls7EqlnLzHCytGmQUy+hzCgTCGtat6bTGLH2DO+yagF45LbYVyi89Ms8KAGU6vf8V0ygRLTa6Ww33Kmh2YRarYlvBCbLynAVhi3QCBlhLJyhplVldCnyUox6C3hMCsggYYXbqKhSwe40pnKLGwRL4VSbJlDwIyGx8KED1Z7mQySdeDchKCY81I2JXFFdxcuXrbKEI4qYphovSuzlVUjmToTxY8EGjJ80odGN0tfJH6Sxbvacph1rG+FH+JaD9WLjFWoYiRvbVuzGv3HA3Imw3Tbm8yHkJPV8NCWprTZNv8QOerFrUln5W4urkOvTDEb1kMZzXy8A51vFrIghaqswQHMeeXF+988ZJDFqC8n9zfN1/OxrPrxo0YOYeBY06JAbJYzmuMLFnxCiEfWAwf6+HZZ4O5Y0j8gMW3JWPJ+fX15PaiMRkgZ8qkbT7ttNsABy38lGDTFq3woHDV7qihFf+0vvePPqjF3ixKT9gFjyiNfophsuovq+WivmBz1ayzXvAIOUy+D91EvVUnwGf11d3ds+XFo82EvnSSlCuf0YlEEcGJN4g6ZYG908CTisZ84WGRkCjyuJmWlGKGubRIiAzjCjEmcUV7MC5+PTQ+eAV3XFqu+K9wuyS9uVewFSQzJ3AIB8qaYCEfWuXz9vzw4gPMPPfjt1f4UZxvLavhBWWRgdUsVDRe0zlY+SbESQBGFNixaQCi39qvSE45nlYviq0SRhmmKwFgEQxLCIhtKJdISIoQ9YoVQSBCUE2NACwrJFmKuKJFAPAPOGGJJa8ae0hZw7hHn9A0XjIy8UYVx2KY+U0SMAlkNC3HNq/lIEwtkunRQRYj8B7jtmEOKTdMxpsQAfgBacSqCUkIqmT/XnMsTgoNURbOYLTgJyur6JWTyXg2HbfOVpPZw+2z70x5016/PuMAQoQOR4P25RUTLAaTYVzE2kyvCoakEtswgdkVc6zLizM2j5dQFhXZODhfzdft5eXjs/nL3ZI291MFktip43QynTfm4aSG8HJMiBMSm9/jFv7C1wyhOX/69uj9b/DTNB7ZMDy/esxGrirxGb13vGuKKvxji79pN56PB+2r8EzZgi1bG32SKOyB51XQ7ZchsmQlGBoldJPlImyumo27tWU4YSFsrjolwEoUlRRdt2ovB7fzixsix3rZUZ0XRhvWQojGtw6RoFljieqkCFdLL0Lo8pTiH1JCVp41FkySENEj3ABfO2ZGk9V43po2OuGo4uaq0rM8bwPSaEaPSWBGdn4w6eeTFe1Pn8pyxsLzQRxtWSq0plsvavH4eIWNFYbbNNvbd/kcKGzMos7mmRySyqjwFiHRk0tv7Zpb+uo34FyxhlR0kgVIqkqW5CPMR4ZJqA4ce9sz22SeFIHEJBnGtbr210uZbVAzBuAVHXWUqXiDILFmwj+WvByZJ9d5vGAMRsixQ1IiByHlTSzD/LgjCdhGgp2ksRIgEV49Cy9mIMd8UoVXDYptGIkx367XPzdb9Zr1lxzKPpvOWYNhIYo97SH2lpwpxcjAlIXxZjlv1pvrZm0edqjwcCW8N6euVF8veBWPY4HY7c6PvgWLWN03ruMM4pRpBIbdXF/c3Q/6nPX+CtveW/XWdDzjDXtOPa7VNjvDeBDJhvSLi72nkDhwMp4wpUIf/sEt2MBULCxttXjxM3//O88jRhePaoMXSGe3e2c64tz3cXwnrkpDfEpDXF0up7fDQfvQWQb46rRd8KG/zWccs95Zzbq8j/EDn1f5Vn7UWr8Y3NYvw1n24IkxDRGEH8lTqlRDhOGpCmRcDSOyEiGeMgsjSiMhiiQEwxL5WS4p9bbBQqI6Sl4IU6Iph6U0xnQPPmYayJjVMmyxGH5MQmb57ErCeEq4WZ9OhTunOTClinl8Yj/SPEE8Pj5MleJmgs0e/eLlK88aBtBXP6kB74UD3BU9XvxBuPx2dZBdBAhBO9dceoqy0ZmlfF2W8EsrEU7wEZQgATCGKzCArlnbXoslpg6gJMk2meTJMI9Eg77ijEQyVXEvvwrsbcMnJsRsqyLE08BoQjy+OkxjMR5JCG2qZvXsqICm3GleiOfNwlLENVtE02CJXJGUQk8RHsM8X2X0Epzj0ZAHJXyfkJnS7Xr11rrGm4UsQHEDMjnTxozp0lmtDwYsawe1cMImOwmIZOYf/JwMmiklOx4NLsMi1hLKwd3do8dXiNrJMqGVAb6owxej56PTt713m93laN1oraaD0fpy0+PwBveoXCt4JXu0GLMwoFkddacGVJRHiMFp85xzW66evnU7vNORDZPJ6CIc2fBKa4q5hv0EI7utRnfysKj8qRNCl0RgcwwQwa8jHrL+ob34fE0rfL5m3g2xGt9aO/KBdVbsK2IIu5vm6uXgrnlxjSj6joYIYoZpQehLLjKBqYXH5GqHwITgFmjKh51cISgiUaQBFgDfmurQC8LMdNebKYIgV5SE8JBtshxPagNOilvV47yKmUk8yldcDd49iZ/eKhLi8dx/ZJ5H5sLUHcPCdtFdcp3dgbvyfSg+Hwxbr/bRuxxbCcJcj/cLW+FrWoeWrzaMTMvYgrCTcjyEB3D7gS/kFIml8aw5i2gMnzS28RIc8q9RngD4MDqNHfMIdEW5SaN2JPmooljjrUhfhUyuSyRjGLzltsFYMcSLzAhxX/oAF6tkXiLB+w2vmm8TsupZLDlBCLaRvBYeWGj7rdraFwFjduLnhIAsjBWfNpZIQwjHkSMN80SmK+3FrYjD1plIhbWo+PuLFSlOYWeoxLbdIFSvPeP7HuvGqL7yPwvq7FyfreyutJov4eEHaS8sLHXa3bPbj0fEThh4643JfHXG8e64iIFgubi/f3h0c2W82bpXwbBPfTqbc0rW5WXZ3tVEFNUXptfpvdF469mzj2/6174taDiOBqUWCaOytGk43CtOsxAVp1ksyzd45Z5f0cwyTT70YS726M31i+/hg+l82Z4Me/2L4XCUK/lTZK4HrrvNj4f3jcvNPrlcmgRJzJMIeHbBU8QzRDVK2FwV5lXzMzZXhd9ibK7a67OJnB9kVkGJSY8ai5ejh85leFZoBlAdqsAtDAw9l2RFFQGb8WiaFUK3eA5UJBMWrLIJHzCYY0W9nDyf94ar9m69iulZopFlIIakBJmbjZ6pRCl2VjrjVvf92cx+LleRkGxvz1qbS79kC8JszvuDlIamVHNy3YCC4hAYG/q0Tf1STSswZ2VJ/pRN7poY+ToE02LySINz25vORkucEJcmtjqAaf5eS1a8GEbCBq4nBHd1A8opsc28B0zCHliCcScZBhdCypUeLEWIHIUoM89zQSDXeWQWNm9ni6pjZAzXhAXhMi/BQ0kiwDwea6E/OeTYRc3vH2QenO2hBe2opqdArLYwP2AAUwJuLSyPYyNOZF2KfzzFIy6JzfDzXSnkgbbZDXbz57a+Yo7FQ7/Z9pcWzwPr7Bqdbhg4vT1MsFbLNvjwKTbmVoTW6rrffKffeJjWby6XHz60wjfna7Xbj55NRuO33n66r+ToHKtHTNp4XHh1eWH1KJdinoHsyaPHj28e7TwQOZF5d/9QNMEKJGH/Oy9qL5g+4XDqyH2HsGU1kG+X8yPZv2Z49eTNcGTDcsYQyLmjnbwjG0L0MAPeqwCI/IaINv4UXfDCDXOOyZivFx1VbSJ/NBrR3OyeW40H6+mo91pPWDjKmHJiP9Bg8M16dvtw1zy7SLg0wtDBY9SdeBORELQgBPmaIeGr9WzCIL5qdRhETC9kyYhHqMJiQhhzoOFa8Y42X86mtSEDUdjDmJlX7fSGcwu8V6xkD8AMet8e6lCGb2/Dgs0bwsNK9iTSu6v0S6Y78XTi8IorP5JD/459fE+WyzDp4mBmh6gKIjfsxojjPzxHiMAFSjQenMDeQgKCVNWK+PNdMVGdJUvpw2hr3aadyIoeI0nYxjUrwWiKil4XHnuSG61Jjp7bmAdNtLfQVOMqAZBg1S8h80W55uFeGVOxr3qBBsNLpY6KDeM1AHZ6BaKSemFeecuaBAAoGcKQAJfHG1zut4fF9/qLN5q9VWd57gMPdiqIZN8viG0wdOYJhzgt+GpxWJSi54Xv7tk2qW2IBgOIVp81m0qBOMcKv79sjnX99GLywbRVi6tdPBMI38hRZUN3oO7n7VU3TBNrfEGn217/Z+/Wv/5BYzILc7vJYDgcjFj7KdV5uDBuez+/vXvg+IYTtr3vT2s26uJ+9vDORIl62peFLpbFWa5DLz2e+pJiyzQXfOyaFQK+Wcvi1pufmX/vfWSxE20yHpxd8IFC5uLBUfx/25iOzjgKvPPGXdi8UaLxJ7WIwYiTPAgRVvx4ox0f1adjDg6y+nbw4Ww450Hh3sMdK98B+J9W40rr1BZzHgLyWUA+YhMcG1z7o+je7OhABS45gXTcaPVzlmapWqgdd9M4E7LszgsVIAYfBg146/yQ43Cv6agTfhbVHsb3zSefw4GSUT7iSQiUMezDzb3ImDCvqo/nzfH6jBcIICybCTBe8msF4bIh98rEghkMgZNbWoLEQuZY4dDRMvH5AmLtwvuD+cVbLGRMQZVj0yq3km1J4V9YwnuERyZchCJfj9StNIySlwwGTiV6Cz8WfekJMAKpwGmM3jwC2u79CMTCE8Qi5NWneqqLbONKVlero2zjapgfCqDBrqJ5/z9777Ugya0s2pVLV7a7p4czJLc9Zx93X/Qd+iPpUd+kF/2D9Kx77znb0cxwTLtyaSqrKrUCyESh0pTp7iFnuAUOq5FIIBAIBIDIQCCge/wRJLWbRnEofCIQiGYwtIEY6pnutt+eHtdyT2132/21aa0YJ253bzLly3Aev399/XodJwPvhUaJUkQAiL05gpTs7okURWkU12JSDi9IowyKsIbijjyB109jiYd2diEHinMZK16sugF3ELZS9jO97Xq1cVDsm1ra7dfDrO9n/89fsuvB+r+m7X9/kb4cdb+/EfsMGnJ/e3f96iURg+/jIjT58mLE0ULfF6cKtUCohXpYfE+prt8P5gucQZRVCFXIcAg7ULAcjux5C3CQoQccrofe4v+dVWAznFzc3t92kiXCZ5LgZyshszbKJv/UX/cGPacffAzDV3J13tnzbBWrzzmFzpapkwsruTyEQwOOJ1ZsCOCwLZwlqF8gnuJDY7uce8rQjaSx27lfiQMzhrbpQT14bYoxEjbRopvKtYC5hwUKf65i6wG+B/nxJpol7Z7XqLfTEwtEgP1oJaxoKMPjgQAN2b7qpLH4TUXyZH1sI3aIfVJ3m8WLuVMn2B0ASL1VZKhkvU2NXKVnpdOYWxOmkTxUJ4LFY+cNxqDyq36gQfWvOKuDvV79uyIVGtrm9lAVOtBHxfvKX2kl//PvCORSSeUsYlOikXx223QhTgCDUmH9CFpNr2rzNyVSae0ip/PLlKaCedQRECMCAgpHiZPrABxd6ugvg+FckZF6TQ8R11VoSmrqaVSPVl2bAYBPKQ5MIBDAh1+7Ck03TUA7vSkOa54uGzUBIZ16wcRuFI+agFUMNYPZmQ3kZ0EG+LVsDCa8Unhu5+nNZDLxtp5BEnySOMBEd/XQbV/M7z5yHrC9SblIW7b2xFJKLUVmsNNc0cTk5NeDbq8v8kbB0mQ7NjG1g65YD2zqJoV2+6HdmqiPreW2Nb2bfvX65SpK1t2tf+mFb5hO0JzJkGEXgSXT73H3bWvgtv6P/9X93/4v9s5S3+GYnniHAiVng7r+2hD8iRFuLcTbe7jZYJtlQOHLKpwvQYaPSioNRkMurjFvmyLCJ5qKTTn205kW4F7jmFS6SbGcK2IWt69uxGXDD38Rlw0bDiQuh5Mr2beFAdhG5doVvu35uL/u/PBm/tveuK7n9uv7op4gO0I3BkS40UfwRKjCTT77UIxJ2lHbWO6AHL642l5exsvFejZtxyG2e0ioG3/oKYNCSCdgVZAIB7vS2OVy8dYW0UStgnXc+znR7Sh/YSU2TMNFCxlrx8/VFmgikK5nYKgBK1azCUuznKHexvOFmPaL39QMX04YD1gucMmF4NUbjQ3YKqgDKbtS7dZ9632rz965ZK/t5SY4oLrG2rOhDA3ks+XoJNYEnHRmA0gEuQ7kqXslQqQmY91b0shQo1RDiaWZtlzKnofl9GFDg8vF5BlLDLi/+kY0QITqi9oU1punCzRQhC7hVwcqImJXx1sCnMGvnV6Kg8zpmJfK2o/UTl12io7n+CncbAwVdoIe2UoYPhc+VWRqUwyGNnoGq6MErIX5vIlGQOGD2Cay7l+D6omVUoqWlmh+YlmTDTSMoAY0RjVB4wlv84rDMh9vo1Z3FM4XqKP4+tFKqaS3wIp8tbgZXQySzbQrIhZ8i4RUO13BuntcLTkllBKFhyTtEKfLe2/ib+7lAsEib2ERocbItJVdZm1eb1dsQK6dsbuexfEybmHzyvEshLNOe51y+177p1k27LfDtPO//5/x3Wby7y9WK32djkLu4IBTOc78wckCQuliGQ0H+Xf/WgSsqVxVoSw+ovmCDC9e+QfsP3SdQeBHUczviSjAJ8ovqdi/E3hkeNLRBM/r9K4u4ofL1vyOJifp2osjTOlRfdGl3XUr7sp5NzZ1F2H8m9GoGF/VPj0Rl184m8ykzHLQHFdM6KhcD4UBu3v667/CkY3Y0kf90ag1GmG7Nv3w4XZ2h4NarfmTgQOF2XdScpWL/CajC9ifu1ylW3tw/O0IwoXQ23QZcYjCcdFSY6HfRSvEvQiOxxG1gk/y/Ho5IBHikAR9+OWRxUO+zdLYwXVqizsJkKtQd63RgduT5K7WZJGml0xTmsiPm9hTxLZO2ubmeNA0H4K7Oo7E1ujE6wKNeqJ0paGm+OboNqoGKzULKaEDMkLT+UHhxgalGvNhWcCqn/hOYl2pSJ3PriApCeUtwtpMOpGJiQYdyFB9BTMRSLd/NRx+wUwoVN+2KrByChCeRdoDN3jXIKmr0VidheGjG2I3DCCaVnYiLbUJaF4Z9J6lagP2EZHDGOqJ5umdBRymmEfA0V0MkqajOccnw1NcM6RJHPHL7h7Tnogv23XPbyWrZWu5EPOdghy8oxtW7B6GfofvzUTJRkbgKbLpv83ztXljr2voTQqBSQ0XGxijZD5fXl1drW8TWa0aLAPu21lfFFROOFteTl6m96vlwyYOV/3M41Y1OSvINN7rfQzb//Y17jz5OGkjqvzPDxu8mTMEQQv6KHWaEuJsDJ4WZ5cQCydl9j7IeVv2L1aqN5RJ3Gp189Ob8dULPzg0w6KOUgLWedgwNGggxww5SEnv0+M0j/GEUH39299++O9TrNRwCYY0OvJylw2DpDNFTO21V0uWJNl/Pa/KzyA3syp62gyJynXbjotTATRVmKrk08ijMKSsrMxKEYh8NhpPrr6JPtzc8wGCy7XNUjYBB/LNkSm56oshmhmQJ1KFPfdkcYeEFbTF/amU4rxuHKZZZ911Nl231RPhVU+JkGsHlk5houFKx+0q6LSkbFu2EVeya31Ix4F1UhQt2/0h3Kvpzy+MfbjUrl4rxnEadDr4v+s4Zb2GlasmioDVa5X3+sFBzcbnkrAGPmPU8/w9ctXkImknLmD/oLVx1YyCWLNSTab9dI1SVn3W1iBPEhCsnqvWkKeoXtg7SlXKep6AVbu2QRRNFxMxdVC9Dmpey5Mft0YamI+LaNxqMQQg6IHn4yCbUpoI5vHciMaNYalHpiluE/B0JBl7LCePGIGmXh2BMuCju8/QkFd2YzVWOk8ThjacUhVnPQLf4FNbkFYTNA1Bkvz8UjtfMynezWVnCpNznD/xgxsp5jUyyCIqH9tbbo1VtrdsEolVr4s6w9RCHpYsFuPVkg04phvlNYBS9YxzeHjmq7YurbIKEjJ7CLQ9iDEOrVp82jIxbvuv+uG7MLdhN5gVkVl7O2h1V/IZLCdrBitvPUxbU2Q3wZ3JXE9h//ePrVd+9/1i+9Vk8z7u4HS03XN//8c/+r582zLGdVcWUJ/hL7LRqDuYThej8YBlnlay7ohqEDEA4Y/5frOefngf9geTyytOMzVVSceikeO3KUNTOi3CoSgqAIyLFP8IV2Ad5l2/Sj++hfC4bHCjhR+MlsvlRc9fzNKbMOHDNBCRognq55IOPREbGRjaiEpJVOioFGE1bz0GUygkQX3c5ZIZYNRQQiLguyRZhaEb4VRMNgGhaiGYf/b0sqixN9Ks9GoUVbbab2KHvT12YVGR1E02BMuufCOtGE1c8rl2/MQJ4G3mH6FYusLLFwdX/U42hKC4pCNNmVg1TZgGMhEx7kmiljrDSH49q9M1WjEGfIKdvz5u8bHSyytH57J9W5+9lIpgho2enajO5R2SLezMR+M0MTd1b8xaXqHZWIQI1exQg9m+mm6nYBTEx7OdouM7fmCGOKZ8VYQ/JBkDc49k1fpMCosW4My6ZdKJ0OV2sF9V48B5+qoPWDVLlrlK5gNFcRMBMeI2esRtrLS0V0q0M5wePxGIxs1gaOBrJCEOkWchEVUY4GdFDIaUIm66TGOoB/OJjTX1UgpS67Im8RERKKN3G2EAECNobMGHiCIdH4koLFKWAL21BznFRqpiJsVEV3wO7REKIOskazstrurAKskgSSZsVbYBUyYXBqd+WwlYWljYZypVBDbTYHNZysCRCC9VEc2LWqoS/Pcy5Q/JdjVo+WmcgM9mKdt/2axhVGdZ2MpcbERwOMpqy6aFi/caGoTDK9ojVqjUAty/327vo81HLHa3NLTFAW02yFDxaALWYfHUNKg9mQzni4gbboLxOJrPwEOqQ3fY4WNAZvpNtLyNo/7F5WCIiwdNvb16B4P+DAcQ4+Om7nkx0wnqmWk3jDY4ctCOSan94tWr9/e3HGrjrCV7grgKg7swxvp2MFq1t8tO5qSlWXgf4h52P98DmKPKQCGpDvo5bPnRJNSTSsoRNGpodxQ7KC5EL0lULHyy1cK4Q7SVoZUk7J5ipNbdbnqtNt2GrdFR2J9nhtrhVkIVuQpBCIIj1aPOruPKvIQ+EyBUWsWr5Sz2L3u4sVDeU4ftDPstdKJ8x/Odh3gKwFJF1UfJTFaojz1QICc27AAEre+g05lahSUsNYHuTP2rS9F1dnHiyvZhA1Y4FD3QLl1q08ZCcYcDdR0VYkrVHX1E6JGzhOVQTymRERFIKt9awqZ8Xh4LUGO73TNLKPdHbvphdhb2ICpqC1fspdY97AlYMr7UmmoigNBxepHu5FGHOlAnpQENCCdlbcik8WFlhb56fQWgAavR41VD6XIyrHmuhXsZhHrWWJlX+pFfHUy6bju/YKjj5pWJUMTEP2lEV0TPlmo0NDQY1mouPyluBjjoEehofsETlIiwCjK8UfOukpg/aN75slaCFCbncNdWtO98fBsoULRKVHJC6oIb0Q+Z7NhUMOkglJkUiWTtVZhcvLxc3YQbrpEwtkA7ODtZSkiq+5G3+2D2YFoPQm1QFjT2cOVQVxZnLQ+e3q4X6961qyQ/q6SJbuWKUs4xdmO853S2iTSO/1gX1tuMi3GidRK4sg0Hev2WeCbQSEJLC8e92g3sp0eolFsLl8soGA77w8HDzS0npwArH6/bhM99Gc7ZNry74dgUO4b6BuhyvU/GDumbRUvs32UDuNN/9XX849/pK9Y9Lm0Mhpd6omPhQcDGUqyMwC/xzGlHkaigDzbpbPYhIbrs/OZGVGD0CKpoFlUSlYwseVSBqamQqESqgi1ZszarmG3UzirpivtEYW7h1S82WNxe3wZmE5Gr2JLDW4VsrTY2VlFOdOTxir3oVYyBD+t7t+evk36SIoBi88QwhKSYrp+yMElm9FvwKJTvOBwDcQdjV50kqMUVmAQ9K4IM/cUjvyaiS5FYq5HBgQzKcaY78DzARpnaBjCgnl26AjLCJJwHVxfNhBKNgS9oUcrvB7CSZp4W+I7KDxrX5pcNhTJ8nVER9iTpivwIGCL8miqkW4pgEpn4wIZkk/K4CExwevs148pYVuuBrlHjoH8Z/I9Dwy51Fkp2QR3X6AGEoBHW6ZqExJ8FyWq9Z6UYJHXElNVI6tFoEqsRslFQ07z69vQU1i2YrUlWowpoCKcRdHX6F/SgoTGTwgMC8wffLRvspQQx2d3bDbR8UNQPjAOoShtfdKL38aAjcpPb78LrpashqCjjvgWnjU5ItMeKMxeb0GvhW5OPeSWrFUMEDGR2VnkO1Ft+JYoJ8QWq0vNW4GiwFbXiJVo1qmhFybLHLYLqwFepOKa27IKFWfiwSNlpW7QRySghOsjVasOhJjwYZJkvRGLBEBTlrQBhaBejO6+1BPr5HgeDIIzQGG2/+vbr+cNs8cAhSKGa9nDRxVMAFEhX9+9+8kbj8cVFqaWBf56pu8Dea5I8093KLkvs38dXV+HtTTdeIMTEHBf3EgQ7vJchXnMLxyGVxfPRpAQJFOkNkag42adO+aGjQqQyRlQ6/16zSiDqHuHGIuxNVgwxUZQoLRWjjdVZOKMIOCBpPdwE6Bcl7cuWq3Sbdm0r2mj+KrkKiUOGhfjd3C32JkseEUoqRmJlXKUrOIdLNJkdXG9w6TBk9Wer7EVgun7iKgDpRWXFL07hUQRsAAAgAElEQVSn3EE3GPkBF6gbgWOHg+5He2jA0nqNJpFABlIIuzLEmjmGTxz0PjAYZnt7RcwDpgSZfJGpCfnIBpwpdF6E4yarlT7Fso93DRi+rq15n/EietZye2vK7ZI4S8io2j2XYmBQRwldUSnvgUdZ8A53vzCSDPijTT5QS/6Kji+trxq4ZhfNE3Z1VFq7/JPnMM7HUSlynNgug6FGrygtZCGAJCnPhZIBfm5E46ZHF2XNyDRIEjkXJvlpHTCfq3WakkhaWpDS+GgMGSFMVlG40mutaKQgLAfsbTMpXWCrTESlNXWDQOc55ReCiNQiEiRXySxa+iYZ/J93uUWZ3VG1ouSAmE/VkGbzrTN2+5SS6t1sHW16495mLl/2uzqZ4MTR5S7hxJhIVwols8g5HWfVwRl55vWDVihHArvVnX3V9yDE3346QHyaZxm+G+44WghA1H6yRdoJsCFTjowln1QgJUCMPywtOYaPQPrEthXZ+oGHGmk2W04uJ/1h/+b9jXjnUZMMGyiyrLHb1W6ni9lNuBxevugPdg7JlKl7dPpZwqLOmr9IEqyLLIXDV68Xf/8zRnjisoErGicvEnw1yODm5HxVdZETrQbiY5OASF2id+25+PZEQSU6KiVR2SDP5SbpZOFZwk6i0mNNTfvM/LJc6unLVEQGSZUgZjHt2e0r3I9BHHjQVnSaAl9OpGDxMsY0WVZBNY0ruara6aaIkJIHFOdMEdihybdCu+s4/tin2/LdNugnitL9myQMiFKEoSdZ5SgaZvNeZzDqj8Z8adj9Il2oZTZV2HRiCRSPlNIFmWCZZkmhZeSv5iynwIFKzBKrSLRZ+wEE1hkypLDF/pvnfEJGlGvEypWXq6CBtAjm1i+InytdURAgaO6hURm6eubL3cA3GegixoZ5PCVSD90uST+dyCh2qVJcxrhiEd3lQh0lYpONOEHzRKlU0+OzoKSBg4apRcdtPtavQI+IRlLHTRETseGYxE8UOYynZj6qPozw6bgB5xGtowiBniJAUgOERKQoOErfXoyZlAhShZkUWLPK6ClMMKRz8v7ZddPpmJ+Uk86FB+jhVJDgr+Add9zUT3s4SFdCiAa0lqN+8YeYRddgSF5eosDaeFkrZYMvn8hIzWMnIbGfyRodvMDnIFYuPZRTfFyG6PNVd+z4VmFo8aWmFLXfoRUSZZsgwqSJzwJ8uMsiaRwZizCnqpYZKp84doD3kXreJ7bnuK8Qs3e8vb949Rp90vTje3XmgIlvk2GXpYzfuZ96cfMeX+uTFy/01KHaIs5l4KtTUYIAupl5gb1n1ke2nDfBECUWvScuG5Kl53uixsDypkbAOrXaA/moCHJj4oCCiq7FAo6DftCEkWKX2sPaftEQF9aVkItTxMgIaxBkBVeqFOYHEaYLRtUZSIMBVAb9XniGsJ0/DLeriFuxRxP4CDZh30y/+uJ+q3hDFpz7I2HCHpCeC3wONEpMrJS7ozBOEK3YCFyj8XHcQd/1uh2OTkBsaCeGC5YXqwMApVMQYWFlxJaubAU6/TGmkHoBgr31fdKqu2R91JEDAEuvtCQk3KAkM6zUSxnqH+VIKJKHzBglMWu1ThAqu9rBfH3hp6bSTi5cwALkMKA0TuFxnQeywLeH8ze9lY/VBgFLJk4JBdeoTV66rAlUU/oRAYvuoQFNhUvpejzbcwQpBifSn2WfsVTpIx7BSgeYGPTMxK1R5feTCumnI1ygKX/tUmBIODreyADNf4a2gB6UhIx212sMmWvY3ZPPCzGTQpZCWOBnzS8DhIK79YQmSiv3Wmq3uhyH1yHL+RwvpcqBlG0arbD3ZrZlJvUyd9vZpshclnDpsGngdP3Xg+jHBXVziEb2EKAw7uxmGxfTqPdcZ7tj+HIl5zwzjqGNEp2Ajr6Oqb0TbhZB1tcL/4kNB47PLfJM5ePu8n7udSaYY8ESWkQUY36nuEEZSp49e5zTpEpeSHcxGeLtvee4w/EYhv7w43eIGaRDdjmj0MEggx3DNkeobt++6U8uyMbjoB/M5nLXYQXk6QlCYDv38OWr5fdLpy1rHvdteyOXipA/WTjtbI+Oi7QGk+ktP5ykK7N0xgy12DD3HuwXDXGKW0GL/QJDfZxLR0tAoNqfw/XY1C/ltdIHVGvA9cBgG8NpDGFQ9f2BOBPjk4jGfGnBxli4S3ZFERUxTOzAcQdao8nLGh4lEVuByN8pg7/r9geDCbplEV9kyMOuanPvpLVSaheBFxMrjlEMOv1RfzC0pQoA8p7lEsSYWnMc9jvxAM72K8FN6Zxggn2Wt3NV4krMYp6mhcbRVH/shzfdu+8een7HCbjqgEn/LGeclVrqErBks0lRzZImmN6mYjih+Fy3rprtlBSIDH0gbzWzbNEX9CIPDMBvNdvRlCMCFr0LEiUo1pAW3uLR1C2oNAxXO1sJ4FmPp8Ox8bSrAEmNJx2JlzwQtt/+InFEE40ttUNzjYPBk8gjsKIUMB9RsFoEEoEhAPlFkDIYklMjCZNEYZjbmyMCIE7JzhQ8iiUJfGq+NyihT78+D2JVVK0UM0CsNAhZQ8wM7VUU41yUiS0nNWLWaNsvEZBOQpGEbROa4sU6uvCG6JYyrOHxKeX7swyPCF1L7APUCc2s7SPm/vz8StbChbKYmG6S9Tpot1xuyastolqJ/Ts7mLsMqNxa2QiLscvBMl1uIkxuuxyBpAcZppOLwTyU0U0nygaFCruy+vkT/+Lt/e5h2XUwcheztrtZyKXOQ18sQeA6jqfLLC4TeRY93MeLxfjFNeolkHxG9qaJjue2xxet+T1xXDZsw7kcFxUNVm0PHulZxWViTyeeqDCi8sS3J3JkyYhKk7a2giaq0/Ai6BlDMsLRDDm1xosaSlQijD4r0BBIKW/Ue+KkWO9rouT24jlk1+/CxZyOYNfSaaV4fTpWugbgL5ik28Av7Re5io9q0VcZ0Zk35U6AyMwAUAu7dbFd5/Qkii58X3FAAxMrTNcVYwAv4XBEMXYOtxGiI1XJf63O1vHdi0vXR04RUZ4eqa6zGho4EyGPVgTweLTv6tGoaWV9RpNKRRscF0MKJWa5rj/4/QTX/W/+x/tkhhNj6IGk1XX6PX5L6i4D5NwI23bylVs5Hqjh8Gr+sAgG8lko3Hwa5ZtwoIFIsWgKazJ422QeM3HSNYyFmgynJR0SsJiFTb8Cze5XqfUcuQRQmlFOw+pQLkCVeFEGgxJQSsVAmHCgXs3ZpVKf9NEWpExFGk/oSUQnlhpocv5sEfBE+oTUpkZSoCSIJRzc48SDHD5hqGMmhQanTpBiypJZqzxzwUeWCGLAPyoi5AK+AFR/CiA5Fc9QyeCJCfc1uN9jyDrFsXMFtYBZ/F0v11z2l3EHFjJkK/OvnGkYseXp4DYJDYUIXGTdQ6coSnKVGmp53OWwYtI42d9DYPJaqK82WYwVFd5Btc5JN7IMsH3ZSm/XnDTTgCRT1sIH6STcYLu9DeXS1k5LzMvYkbq8uFhvp9mSWkTJoSFaGDxbVDhcm2/wUY5pmsNdI4XmrNUaDfuLVTyfiXCDVuH9Il3E6+uhhyMnSRGrX/HjwCBn9+Lh/U/uYDgYj8MoRpX1BBSFvnbx4fXL2WLmymapeCRH9YeUcuIWIZwAM/IVwn6fXJDMrpF4S0c03I0gU9derSa1IQITqsByr/6qbEJOWZK1zATP6qlj14E6AwP2dImqVD8QKFsMBXm5mE3Hl1eyzKPTSj8ht5QwecqjpojSGNGrsiVryVU2YJ0xpzVtZ90VfRXSFedvO9xr2b/glEG3LXaWfDXiHZSpsKJ6sCGaOKCVXKX4CmOC4LLXH+KRjhmVPPSQyXkgAkq6Or0oq945qaCBecZsaMqoiNQlYlbLc7gfcT246P/+f/n2x//3pzRabzCXXW3jaQpNkDrRaWlhy/6e3gd20hMCrV93YQOYPHyYugE+UiEpyqe9r4iTQFcy0c21AhZNWDmhugP+SbWIjlr3mamaZug46TTVpD8lQi0G7KPhaOnEXvWBqSEXU8yjYT9zQVAlVIGC54kjqlr2U6RAPS1IaTLySy1QFTyZW2RLV45moK9Bmc0umtzFgkacTMz2OT78lWjx+CmwNDBNpUUKs53w1ZN5S+yc1AzEXFzArv8bzcL2oJ0lbXfY6yTt1f26O+y0N50kjDecLxS/WQh8qutlLi7IoodUMbLqQVdTyQ8EVYrtMr9T/dLKFwZTFPP8lE3LIqiekTwP02X/ZZ+pEF0kZry4Nlc9vr2+mnxcimRzLmpFDeW/dAWBr3TmYvbbWBZYQziTwn4bRNHKt5A32F6NrSsIEVndGGw1vZZr9FXRVdCb9NVWnawuO+P3dbi4j8Ks550hYEGDoissjPdSmVh6l9fZ3XsyxizHaBBFZ1EzihUERgWDQRlRKZt0OehXXOdnVZFHayqvZlIp9IsES6VNMiRlSCp5Sn6IkmIBEJrn73Md1VOVTOwJLrmvYBNhYKQroob59H5yec0rjnYgeVgIfI5RBHNxtSA+7VH/YJJQI+xqvGWgqjGLeok9DbFeR4vZQWPnj8TEqo3Gix5ERGOHUC3tNvEb204/kVtk3HZ3y6nA/hBTNtiMHtzvvkYI1Rd6+QDdpyq0qqCbUxRrrbtRpGURPke//Y+v3v/lJpoW4kHWWidb/kVc59VuOT6SlghbbCaCajPg+jfqrkDRUtuvodjsdsHawzkC2SrZ438743lxNaZqDTqzXr+9eb+d3yxFS4eq0edraw+lU2oSAasyXKUgfKD3gE+BcjgPogZVHM5jvyU/WBHsROJ6EoG/n0tGqVZRqvHoo0HVFvsoRXv1B8dRCD9PBlrKgCSYJkNM4uCJDC325rLrJf+UvblWSpGhmHjAUux29LRS7pezm3DS7ETdFcCVQaWEIvKdBLECzkpAUSQextFA76QT6/Uuym4i4kFv2/X6XtxjnMudKoNxP/zIOX+gaKQFH5kCKgjvAJ0YKz4hfK7gaFwgdv0CepLNNELkRgm4mEYWVR/RW1kyM5kZmf1HckCMTLtL0w2HqHIHf2RnCllqjT2LCOJsffA5jntl/GjgAAZAdg9aD/1eez6dJ5zb9HOR0eGWR5HAdgUwGLmJNoskejVGlSUtFxYtjN872TZezt6/WV+9/Eq2rZ4pDC8v76f3Hl/lan8Wp2K+54mOthLW+CT9+htoWnmzSzj0bpdLhpiE/UlPz3XCjipUp2idQb2UJbyawarhkdHg4nJ2m16hPizWFbARGeviir107LHYKnwk6E9ZDJ4UsYZvQrWhjwLhQG3QHdrzPYBbem1ihXk3ZwLZCQwcRrZ0C6Q+y8QKBJTKilHR2aDYGY96wYDdVSoCFOsCi4WOP3oh03Bo16NAnddrMisqK3JWCqPswdLg63/96uaH+9m7ZZm8nPaJNvxr3a6gbk+kE2zWuEUB84ly3tpnaV26Lo3rcMZ1QfHoMkAIfoZ51aoYea5bvqQrJ9HFqxGfWDd/ewhvE7qs64nxmSuCIw4tTmqMONemPVZ1eVRzQDX9ESlIIVVpA/haOikBBBlCE+fBTyBcKvK4R0A11VICCKom2K9KqFbbaGf+2eJaIwVtQc+QC6IhLi8XCxQLEFfZSIkUVThBsAQpEIVzhHlKDASTkFLDKuc3baeYEZilegAnlSjZ6RTQz4EUSHDYkfWCbb5qnbrlGlVu0tlsk17W9f1gevdhsA26r9lCcMUSg22TXAYVGPCMBhWlGBi1vRr9U7WqmhT6EVD81rzbS5IMW1RU3a0IWFJ5QVnGGtYEMfJPyhYhV5FxYGrd9ritAzN9wVNoKKFAeQ+ufqB1storpZTWS4lqSmQpuUHDNFYyF+txDZQiadBrz27ue19fw6KkeT0PpWDxcvcXf65IV0gQWL5rIhjjd991wsXiDpf64wnusvYQ2AE4Giv6VmUEiP/y1fqnH/TZS6SsgJ6tmGnSz/71S1xF0CeQhH0E0zc1baigoBd1tbJTYV4C4jNIgaaFquq0bDKQR7I1zNuV2h6fAG7B1cuHj+8v3V2X4kdjMZ+qQ4XSetjh8RU8a0mZ4hRdoCgHJXpsxjUHJTjJcQ8MHgrTddZPx+/3J64crIDbKM1ajvkVkJsh7d7QQQDkn2xGdnobd+SOL3zXZ53bZVIxsvAX8vLFS4RHypbynPhYAgWqNrasAgQNCq/MJ8K0swFNS1ck8ilFdXrA8gj+L393xd0HN39/aNqswzAgXXL94jokP9peMdiSf9pE3a6oFEeYswUs7q2f3y+o6+gHcAnOKY8Ic5kvc6zKXO6I0dXAcXvv/usWHxbreINTnuguYcKkCbIfSlu4wnRnz1eusJ4LIeJziQu6jzUn2ZXr+eJcxoIK5xaxK7XjoFRS0QEcbAtC7/JSI0Gz8i71l46BP92kx48mi/6lUWEYKldS2C+jZIAnEfkZ0uJnh6DnDiLCUZKiGUteHQlkLLPfkRL7r21ZqogzszwJpkgG0pLHzlAFhjAWF+M6G+V2V/MAmM1by1E22Pa3qzANuBtHocqxvrAVedtg+CJofeQLl8sC4y1ePUs4kFmRdoPb+aSNKuTRAfbTnVsPIZ8a1Eu6GiepuqcopTFQiKW3CTsdTAasQy52q712GnHAE+c7giUTaQFcfbKzgotqSuml9DafkqWQhsBENUtll9juqYBw/C+sOOy0Zh/uL16/IDdu1V+Pvr6Z/WCBFiA8gjsqLEGHq76VNKYWETF+p2beJ/Ppx+Vy/OLIXdHSd/WY7r1gG+feH6CpoWKWh/Uqwv4milggdgHkMdLabgeMPj0KRWOBAq8uCLlUUISTmM4l4KG+EqpETlHBBkCCei+5dIQUO8PPEKeBzuX19P7DhbeTmvNDhWhlZPCJPPEzYNJUBTSBn+EN8GPvW3NIU2Yt2sI/2nIdG4gVo1ZMrAaXHmcQlMmdMrHiFTRvglNKpxOVzoxJFobw/MDtu71V1k56jLOydGXKgrleZJnG4QrF1SdJcgaCiWhQAGFR4AObR6Dxll+zjktKIy4G0l5E86adxPZpv79zSser8fXI8Z33f77jzmo7ZzXOnvpqseYfr7CaF0mLfbdAbsmqZha9eGHqjlef6e0c5Lv00CcIwkJi6t6oCMeu/xu2RP/rJo1x1aMwkC1RtpM30b3MUXjp0MZnjt8jbs8zNQKWmQJObwtFTLBLgTrcA/ZE7PRfNg6qamYUbzpaQNH4gCQBRuT3l8XQrh0CMmw0nmAObvqXkZPEMXOLyFLKTEo0UrJMyukl2IBswGEN4lF1eT6z28A/TVxVVKpNSGrLUntSkW7Up0HmKFRFJfUTBAOUfIpuigEgtYOxyaYLORl96jQtGbE3XvfXGAn1rwdhB1l2O7+bc86P9EplZJcz4V67aj5VyXswIe93K4+A5lHoqrBVr0QpiYDFPTiLNTb7Os0qpLgBDu91MVhFOlnO5/AIANIwmt/et7iBgk/2FHv/jMJKu1WUViQqHp7hL199/mYzu5v1J2PAsTIUsscOOIjRNjGIarcRs1ATws98BJEDzscbIp5CA+zlt9wV/S7sDw/fFW3BbRK2JMvg5avZexy10qXZKo78YMAANAuVBrJeLLLLSz2BgBv27IxT8iBuCP/wv17MVVwXAaCWk0QckO14EnYdRx6TAWmtVuTScH7m3x5fHeOr+ex2zBZPEcyhQlcM3n8BEQtaabkKVkCu8rQLK+GLmqB7Q4oQxLZUTNfFxMrF8RRXDrXkLhzleAVtFnxV6pcaiCpJbQWKewa5T6fTc32uCeWwaD5oRPqMpmn/ovaggw1TS3J6SdI8YL89EBceszQClIUD+SUdbiwVrA6uUobSo1allhLleJOCb6cHQ//b//YSGStZnKok26ZZMl0nyjpejiKKKkgdRbT23egoPwgYCBi2M8eyMWdX+rxxZereKGBRl+v3vkbG+vNtMqeNej2VvwQGsTL2X8UPMqtgIqYUdbKN2PPqvGzpmaK2AbpH9SviJg9E13IJEZNoslUTS3lOfAQxzYsn5gdDgi1C6YLgo0Np0jwRbDUbtQCwmn5WCq0j6GEmXxsqAJYmoy9lZ0RGfp2ZFL26+7rMl/hd15yFw5HM5TaqWkpVCRk03zUC47Wc6ClsI2hj52V39YF7u8qTQiOI0gsQgxvL6JUyMYWWUjSmecexucc6CmKSLU+TRRLWzthY8zi4khdXgkvGvcutAV4iW+2wi+ERJ8d83HBbAa6QvQKURi4aj2rdVtbaqDW+NEY5UkUz88dS2W02ejnIFm1M4rHB78de4OaqM+gMXyGOY8DEWXskLKeVOcv5637Qbfc5odeeTQEmHCTIno9wCZMTHlmyuX457PYmHnex1NRo+oxGo+RBjKEVLGlaUUEJ1kvOhfEJwhLJXdE3Uchd0cPRqBaadKuupFyVeSFIu77Xm4yz9BbBGtcYSbjw+6PFYpFPceoPOIyU7xKeKEIvs9JxtRlPyNO66aCqRKlCBSXCr36T/5KBZYwgWmZ+P7NPO4OrFwTRehLF08ByGSWHCjHGEoP3TI7a7TfNlH3eCJVAUtRFdCAfnblcZerY60a6Gi4gI/aFqTKxwk0mEjoePP1B38ESMTexQk8pkjGz60m6ONWt6FMRrOSUQ8/rj1wnwLfZbhbOERqyDx5ON4PydU8GXztC7xNAmFmIdP1oZyAuTKaCTgcTsvFbyiYYqhOO5NfQ4C7Fe1CjnLlUVj8qbqzRSAFZRtyeNl6q77m9r//t5c1394ubPV1vLXArkUnbSCccbVZGTnrfzeuK0OO4048zzB7oxqO7ihbYs6MMP6MwqxbWJGMf8Ot/vf749ztupFd5lJhVIic7RumWM7bJTHyYeUFalgrpEoioO5IctNnURzqBHiWFiEk/EKl++R3IfPQVyNTWq1gu/7GBaGzhldpSds6fMw5ttSBliKxrh7CMChNIxJ/aNl0iVGlvUqSY3T1ZJ6Rndr2jgZz1SxeeU14vdpQoul7zQPF0etWIHe7rIP0p1lMSPcd3y7YHb9bAYFFKO+v2quVyAP6MINhauArLGsRrwYBG+GHZl9P5ubgG7yPwMoH1NugoxGJDr+u9yHF9JrZtOuM+xLazArPyOKIKirOkAg1jgk1U1zaDhzXKcpyhqjXEdjSWnLtmgRsTg9yEWARakeI+FEP3XmsbZh4ef9oZHn4RXdH3jOSc+aYj5rYAyYXxougv87fvtPEauhqOTqkeooM3p/XYwGExRHXBJwk+inpyAl/2P8Vd1v1tslw03hVtqoGmwNqF/WcAMQ3CktsWDtI6jkctURyjQmN1X7F5EfQHUcx2DN4uICaDVw1qyLzFMRJrg5p2ymIHMElX0pRM6ITPamraEaMSC0ajRbrqbmJu2dMvWQrwrPHzHCqkb0QCUjM5DF2Wq/axFblKZB05tyFbgbiwos+yNsc8g9EQ62QuYJaZh6VdebEym+O7UbYP0DxpHEQSZsZCYxV4bAXizMZkqEbGvdZ0+ZANL9WIq74vp8APoE0q7KQ3++wcwjHn8IzOT9VAE/eD1pRigy3FhUN3BgOll5hD5Ff4lciFMefLP166Qe/+zUzmvTMCnSXApO0YOcUYOcmRo+Gk3445Wdz2hpyB2RNFzoB9clbaVfINUWogkOCrl3+86nmz6dtFPn2wO0SoZlX1ch5KNNs0zHQ/j7qDz+pIBe3T/oAhQQslROzKwF9jS8ROPxCnmbDRgQxnvQKfatUkUguhKkhRtd42rZaiXg0tDR+czhrNt7hb2l8KzsLt/MxKMLGL5VRVAoqMhVOJbMOw4+xR4yQoypbirklBWy83vWGvNbNzFfGs5Vz17r6bXzcJWAUzwB25DCUwJXoWojgLba0yvpmkYiAAlg1uzmeIui0LhsEqTluJvGQ/ACUWslVnw87fTriRd3WBPYN1p5hyFLZ6RinmlT2SHsE5RyyvJuzESHhY3IMh2PJtJG64ftpgCdBdyzUvsvdRs3FZh+UvlAYRRvT8hw/e5UUdCmV68Mw6S78gxOBsIvCcOGGYdFDxbjvKXRaDUd8Vjd/3y2blARU3hzV7GNz0rGRQrKDvfnq7SLhBBFbgK0Dm1G+urynNKGa2RMZiLWSYs2DHYCM+uHNtJwPciFNq3fpiJKoqbfqXV7ObD5ft8qFC0WPxFSGHUgsmrxZ+bApLPR6nhLc7bSPb1QNDgoDV1ZFAtQ0obmYwsWpzVrXPNTQ776BID8oNA99uO+7axSrQWVxEXibI0O/hh6lvbQVWspcTxt3sYfHQGh4/hyFjVemoNAi9qJHCI5XXLhblyuqeKQhPskiqZeRAQ6UwmjlW0zoweRqYoO/jFGE1D/hffD1Gm/fxr/eYhFczNKfo0Si4MZRGHDUYjZm8buIb/P5hWFfM8c0AnvzGNnU/QCPaOLgMolmULFCjgrbCvFnMklOEwjkqIA0wZZDyZGwFANAeB4o2mGAwgc80w8EuBJP+uAi9iMT6uLKlUqCKoo5fe2yQB2wJcDa/5yJMl7g4Puqwx/TUlpawNY/CFyJDWMKbVMX/ZwomBuLJEWjFfg8ex6U2hnS2iVfJxcXl6iHXadmQkBDUBhCzTIPkV5BIlBtF3IZwYjzY+lVhCSefW0QsuVw87V/2V+8iDQ2xRh3VOwhbZgVlD8FuhsvK3GatFddKhbsL1fqDEPZfqv6RjwmxqWPzMcNOvO1uOk53ozY7QFPvUqC8+kz0U/sNaHgC6UG2uf94c3rvMS4Ybty0m7ns6kqAqaDMeruSTxq0WeweLtVd0VdX3Gqyqxkiqilxl7KL5e+ABnuyHontHY7d15u7RbLu7BSoboAHg0tdjswoSdBtyFAVpYgopuQKYCISFex2NXzJMSjsX10/3Ly/cmXm0AFl3dIcKmQhf6ZDhRCPu/50t+pr/g5QDsTgfD6DxOU6Zz5lDWPzDtP14cRFrlIXMIs6GdtCTKxqJJXaHhI2AA2kCcYuLOX2uYchUe4AACAASURBVM4m4Pxts916LZIgd9Hd3i9nnYFc9GTn0UuGSaTGKsOQQhH9oU7cLNY2nJPi+1VXi8C+yvLv+OoPlYNeo4/fwUXg/EcPcyU8kVZraUphng/8YDIeD7jsGUd02h9ZuglvY6RabdWEXbyc19sjYRO8s9MhPos1n0qHS65X69ntHIsxhO3VXG+8UkLhVCdmqUNTBUh6+vH9VwAxf49CI4MJphTtJK75TMf1q2ffbdSMa+o9GgFVxgNB8zr5QY9EjSSDGrazET4K8EAGdp+03kHJFLXD/0DpvVdKigHNIhFgoppRVFY/miuK18f+ShFgPQkl6lgtEnE2zhTKzxB3plu0ACE6LSPj7DBmjxCVPIVygawRRYBRSjWqMU/zC4tGKpOCJg5Ie3IXTjfr4fmHFTOfXll6DUk1TFV+RxdiQmShND6oMHhsLVvLdkwDu609U60mjFRJAYCUjXQJAdDyoy7jV+ulVP0HnGM1Af4c0zl5M+q0lmoH8BT8NJ1F+O52h/3OMkrwp6B7gA9sliHt+R3PX4ubjxEX7Fxd8U11AmQAy4jGnRfmjp1gjIOkMF7hA06XZQroOr2vvnldslxGjmIzSumuRNkRR9pK44QKP6csNB4n9usWhiOOMZG0EaTV+GJ9kEOFsGEe1KFCxw/6T7+pkDkZCYhfYXXZ1ToU6G6mZEYICkMkWrYC2bpdt1kiuUlFvIOyFUiQ3mRVRK5qUBxoXrJrogfF4lXOVqitQBf/AD3tjM3OdnocNC4664dw7oxylapGjJYSwPAoKFAisPoYm6pTSu2BhZoH60ExdSJMFjs/82nCHnzrASXfN//+EnOl8F7p/K1X1ajrOOPhcDgYAI419OPyFg5UH5GYNbSCCxdb+GQu/5hy5byeeNXSl/Pko7IK83Ep7CUfFrBgi+nHuWwXoGljm6DTFi/26jNM1agIsi9m7TY4mKrowsdhVi2lGYh03Q386mBy0pd2MOk/TwRkmirSeGpW1nHwJMIvgwESwQRE7OLPK/xJdTIUwPDggLAxKOLldolMAvJqrS/ynA/VlFSRx+C1D4HdhHC17eLmWzx7O73epsPFsng6sFqtJh0+RLHE7kTYFJ1NinKVj3gGB6yv2P5P22mYrvtiyysClhBUDSPNRYKaSEJNKGZpy5k42WLT9VvdkDNLjagAA5dxIkuJICX3clAbrNjMrY2gvrgXQa/9YjBcJOJWvjZAXtQSWLThwz1lY3R+SzZNde31z4i/JOae37vKQCqJ2OMLxpPRZFIeIDU1yaae7ApvsssX1+liwWXl/Ys+AkR/2PcC3G/JlYI15YqkZkYocnyWf5nTFs5DO9hyGN5tTTY3bAXWcKrjusnoCgdkI3Xbrm4KhwqRPPFC6bZYpMQ87qyAjIG+iu6Dz1m1Dosy9CDDAvjsxMarJbuxqBjZvOs6KBY9TNdtEyvylObqEmI2puRUW4GI1gw/vLg7IqgVpwJLBc99RKU6aaWzcN7xLX3qmVDAkEAhFmuoYB7PBFPODsciT57BtzWm7mWYXaf76p+v795Mp+8WtSsOk9pAhlSf08Fb5OPZA9rQqNPd9HEcs4OGUv7F0N/Gm9toBZwtN/Ooy3lgla4nLrWw+jrd7ecObl2Mxf2AqTuvsLiHT03RrtsNLpGxVtneGSaFvRaz1Cdxnp8OO4PEppIiQnGiLAb8EtfiGpIHMDXYp0hvgNWMVdT2PH8BSwBVfnXz9a9m3Kog9Ty1ngXFYjW7nOhPeMVEoDPIPCELvCa1nfMzittiAu6+PdHV0wzMXRAoFvMFStdNBzeZuzbTpOBlf/luvhVbcxFzjzSHAuRpFHWOlK68Zg7DQyi7Ta1NxFU1xY4tmIjkumfDUSm7S2A/kV0K7jocDvtxJKdLmgLS1StXzLU2u6+ipry/wvSh2/1qNMKj4O7zBRs4jnF7PhuhJKKLaK+STvSAMtHuZYYvsq/ndMWPA8uv4hO+hvgmku1CEYiyePaQLJejK9xl+fYMXqUj16HIRLtu8W09+M1vrr75hvmhmq2aovnu2bivWsGnTGH2wG8sJ0y5RrE/8udJmC1kVqzW6fX7kQg3C77hi7fZcjHtTvShQrktWyakY4ERLYqitbiwYg7Go9iBEmCikJEjgas0QomC6To6DS7VZAsYTNgVlosj9UWBIuUdH54aSdAQ63XRcemtQB+3630XZ6WmdQfwMq+OtxiN3HgTLTgt7XFGZsfjBsTpEb2YwpZnKLQa+JLmnyddKSxZHPfPEtbgLrLRby9c7YnU4gi+qIeDgOsYOZvS2sYtDgBBDYYcp3EcYYZS4COJ60rdbvf9MkJ21+9pTW4Rz82q+Iv3Cx/rOGyrgihBbH5EG+p2azwW8sE1u5kzMZSKwnbBpceVQXxF74e8GbkGi346UQBSXJ6fF7Uh0k8E+IZfnQeFuZ3hKXE46SnQwAcICFIE4gTaGwSBRhjIJ7b9KU04rywzhQxYmd52UxwphfCgNFMK5PFxfaRmBfVInr3XDQN1L88OaZWsi9gFlcaHDwY5Kr3GXBx3U3JMd/ib6/nfZyyJGhrzpVhBYKraE3sIfYhvr6LqwyMJUtnyE2yZccU5O1zNDX84zynkWXlTu0hTSBXDwFwGmB5kskwxhzCLxNh0VTHepbgiNWTkt6aj3dtffYyJ8XrghenmjmUzwEcyMzByzroTRd3t3IFNNF/JcSgOde56Gp1HiHq/2+E2QDqL1ZU45GKAG8/vdAJ3ReMuKxoM2DFkKqilZ5iEt633kxej7TLUu4qnSFf5bKoGLZXWQv78E9GW4n4gWsSd9tS58JJw5Wz1xmsZd9SBt2+XL9tbY3hOTxWHCrnUSW6DLpcpnqGPUhTJWiVHAi3XD0WWvb9KYBb7xTRhH7AwXRev66NRr+22t5OLScqm7AoPblw+fKomhoVKsQpzf3Eq0GVrC6/dtYzxPH3K5n4/mS2QYgcj6PCURQ0agT8BxtbrmmpJI9nJad8zoUksA+Rkitm9Ih8gWCzVuXmysxEXT+he78Nf7jgkggtWHr0RN6qv/bsVowYpWI4w0Be4a2bIyk5FMZhyFLnAVMbyiPMs3e7bGfeUSl+QyXQJhdNwwz+50Eb5i0etJQZb3M69D0yDPPCL8O7kxgZWrqzFNYhyyKkuIM/1L7x4ttpwersc2P8AV4UFjbTf6kQmFx3Rr0weesvE7VI6Tn8/kXWqME9JAVUCva4ZDgx51HjCfATkbuD4vh9FkTDc5xEU1vkPGBFrcZZtFamdPSWJGDz3usiknslEptyjI2CouaXEvzl6gvNh2MJVrJG4GEB5hTZLHWBgHGHPgftwbMJ1cXKlkdgL214SDkNm3AnsQwhUZSlAKsmoAhpNlYg74pizw95QvEnE4yhBX1a3n98djoYXbEJ17m6n0fTedzAQyQNmZFvmjmULvwkMyCb0UjamtpnYv2A99A+pxOIr/9txf71cfby9ZT8ezp5cBuzSqPN8h/gc4YwpiTWHTJ7LYR1Zv7VsxEjH7lzsY5Xx+zpc3kbR4OKyPxrKWNsPrLaIdEN38OqPQTSNzeVr+7nqn0x317/+vFPh82yFXhmqZ2GII7XlIhH7Yr/dnzi5Rb/dgo3j3a/Ca6+N0KDTKclNhfmhQlzX7p8jg+fV7cvi3pYvKLyX2dCqcbqGocReLWJT7m0BjWSn53uDKxfXcuLITc+QOLKh68Wv9n6NVZg6hS7WEp7sRXVkK5DrLhHNi3Z82m5kdA+4bYjD0T6bW7KFzVrZNCE0NcFOF8IWnh0AyCMTZp6B9rGpPt70BpvtQ1o6pq1yPr5qDN+OCFjFJOwP3G//4yW9g6Sl1UvJh0itIZJDjVrMcTtrD/Wz3TKJMy+bKwx9t/e7y9Hb6YK72Hml85Z6i3nT8hff4YZmbtnGXkr8xVeAlysTZGCkDQZ3+SsFffGwTMKDxmTtlj9xkwWXqDBl7VUjgCATM5BNLKrRFZBu4lVsfp4UZknQsOtSY0/EdnAmDob8koEIOWEvFMgH0CZzCaAN/JPGqboks2q0NeYaZ0GPrRDcGOp93OMIlXhsr4OldNGbxyEdyGHxPjykqjwiSCGEcF1uE0imR85q8VbO42FTIzq7bPGAO8e9EtxezIYcNeJr1T/VPNxA2Of2nE71slRehgmAqRb1RrvDRsc6jtqRbDEJg823XmEo3c26o3bZlgKGHI4G9DB3GL/vdJYPd+Zqh81Srp5V7RAulWhdp4AgMhb9ToV80pX61bTq1x3BtuebwJkvsrNcFmLJwZ4RFlIQDRFBKTszdgzlW0vRiy91MX7vqYvmsu3y7iZaLiYvru0rz8jIXhN+mdmwxssRZtLcBXIGtVWf1vbsGUB+oazwpLf2p+GyF+BvgsHZ5mveHfSiJBr3yi4G1PyZcQvkw3x65eNhLQ/VQ4VQQwQa0TfC1Vw6WZWr6DEDQD4vCWQW4ypRV4npOodMHNe7QBXSQTfMbCCOTcVsnf/4BApDLMNkjMp63BjARO9Igoo6FRgMceWOoFcIVo0ln/sFipVBulhymlg5hdGrGMvWE1clkavYbHVaw6+yjsfKrQi0bqfzbnLrrfhwsGgPNZRYdoBgR5otpu70TLHbsMstIMtgMcniH6n8C6dhsNhwVIe+E/FC1FfiyxlvM6oPd5CIyQEjpcHSqXzo/vZy9H62nK3y/THNOuX6VO7c56eyjhd/8XJPs9w8zb7eXh37D7C9CFg5xGw5i7hnej/L3hNrDF/ETtu9uApa4877j+9wdWFyiAcXCE3X0k6T+pQIM9pOgn4KIFWWwQaG/OqPUdI0nvxSSxzHj0AbaE/G6zgAEDY4m9xgexKpLZaSPcLzuqbUj6eKaQZJqVEHIOWTFjPeDqySmnaPy1UcMPWZUqosO2KD307Y70MKRpssmtBdBRJjtwzjQCIiromRahu3bEm47nJ9sBWyVPRbou5Sma03+9EKeIXweUIKvXP1zev+ECFJkJ1Ol6tksHh4aGUrFFldVNgFaryummiICxm5G0o8eg9GXBHq4DeIo1VAa6/wmLU7xSZMSxX6t1heICipK4QD2UhEMcAXf4lm+03+9T4NnPYfLkf/eTu1tgGPtBYa2+4NZeFFV+064kFB+TPjEbIjAShbAZlSOPh39/aNPxqPLHdZHBfbLimMyitJlttr7+VuOBxA4VfRUYETJIvh/eLexykd2gSkfD53wqztl5vHcgEBcYa0HYymy/nEkrH0oUJuneLgCu5XkIEQfZS+qgzEIifQmCAkA4ZVKKzkSCAdJ/ql3jhADcH4Y9ZRmqpCrjLFycv9f2JI2xFdlknXEZ5ZKcTbAhKHLIU46scuCN/jxWAuFfhZHn30b/Esbo2RHLX+CexZ6SD4eaun6OAy9yLtBmquY9rdYHbdW3M9Qs+DpAYgm3GmZSpxJwSY9HMjdJSnvCpIQQG/q6IEyrxYsZV7E3o9LkpXa4ooncXklBvjsb6VlWWfTeik0tLBUvL1xdBbRB8trZIuZGop1Q5e+W023FWB4bnc0yxHEXvCNfv1wS36GkSVHoer5bTmQ08kKroLH2u9gH+O3Ikjuh7qHQ5Gf/vuL6viam3RKCKKlhF6wjPVCO3OD0hmcBh8RnEDRMcfJ0idj8JjSoAqONv6P6CANkGPnHOBUlB31bkFG/JLXxT03GOmXL1j0qTXeNiTpeqHjMmpWhq14u5avglQKWLDIL3IByVTo8e31PVoMJrNlov7O6dVKK4VouJiqi2MxxTRXeMGQfzgoa9SL3c/bayZReDAqacpXqeXqmG5Mqgd0MaY8rlFd6rPMh+VdK8b9P3p/cN2OVfDp7EkL5jdk3jVHYidH3a3Scx/aY/z4nlJ+VuQmLaq2UShbRAlwj9kLKZfWTBk2+tQjb/idxd+73fj4d+neExuDvtd4jhdxCn7DBqLqsjB2RYLLUw4NKezgrHAyI6haCbxGCLusjB+DwZyiy15OJqGaY9E5uvs8sTBKLAZuea3GenP+s3F8KIb9pzM2fY2S+8uCVOvU2PzCwH1wsRXRLLpL1fh0C12VVBRLGZIM9xPM3C6GP7I8tnAxgwJpk+mJzFdF7EKuQqTS04W430jCMQFFmsuH6WiBhMlQB3x0E3yj7mnx19rwFCEBFgCMyX2Fl3fZSvwuU4F1iFyXlq/1+bkRdK5ZOGjpLRPGVQxfcJIiFmanapAcarnXa3EtZ7MmNzN0l499OIPZa2MkdvyfZ44Jx61QK4q2EekoOzx9q7NKcMo9RfOPKfvZ19hAcJwUeuM6HXo1XbvtxMcWGA0sk24Xx1HsFyzLh+YjXsgV0Pubeq8W4jZuwkyCNUUalJqIrt7mrH6bXECEadWImz5uYhPETF199xVlM5v8yOQTNcOntW67HGywrEweKKRkzmkTHa8ef3LP/3b377/axgvAXWqbXsNonVJ1Ef/1b3ZpcFPdLnmKlKhL4OMXwoyxkrFdQOkD54pnIJhU1WUJVTfgvPjZKkqqCJlp3ZSrFgkP/IvMKCxVVh97aifnB+LlyfTWaY9Tv/J7e29VsRG92qd9Lzg5etvBOEsW6zvF/OkJS4wx4NBsNlMoodbTlAbJJCa+I/6SJr0hpynTjoJS565O09yCmd00RvxBZu12SzUzcgRN6DqIoWKqO5dYxqTvTpSqjNwvzrfvVEY397cX/DJKUv1Ifqsomg6nWPNAZOw2E8f1JleT255ELkpX39VVKiu2H4fFU7GY5TNN5uD6p2Wi4C1o9h+3l/5E5zy1ciLxLhE88jx9rJ9gM8qW8CiDDM46wmcOX75EoWiKEsJLGDrFE/8HO6HxdiSn318Hy76Fy+uk82qG7TmH+JJ65tvX1/RDccr/nXlGPWHNGiRcQs4l2hnHt9JlcCMJ5KrmlPkpkIonK58y1x9yk2FfZYs8TaC5pZewD4KZi7GD4OJNYu9SOxiY5Gt5AIitL/dvue/YPFSGanlgFxlI8WZQs/l9k2Z5ZDDiq1ADpGixwlQJg9+ia1AG8Pa+KDX3i7v18Mrs6wwc2p9h5aKoI+Q2t96V6mylxYw26SV3LlbsRE/HihOIJ/WAxF/LukKmEBjJ1dWgP1Q9PIuVezv1ll8G462LpsBWnyUU77K6nQ0wiJdFla1kRgMW+LFFFLAFYtoQUT6VYfiL0+YvaOGfDNdYlaRv1V/dJa9JPu1FWc6T6MN/8Q6vtNW7kxFs4XpL2cRl3dhgCzV9Vw8h3TYg2ZqYadaHIDRcLCyIO1FEZH/9Md/+fsPf4+TcM/R6F6uRz3AKEbUIG4LUqClcVK9womQg1ZjRe02wCLtSX9p/FGNHahS765TiwrB3LSuSJMln8zm8VkiilZK9DgbXMGJhsuICCdA+0aGeExN7c6L33zN3MrX45p7EeKMnTU+P3W1QhOnFXON71ZmZ8RpZKx0NdxGcvJbt0mZZyFmKElIbF+6vazf4rOsyCDZsGrNWkwvbM/3UCLnwokGcOz3QHMbijJoHu6nOFPQ9OcXIend2w9yHWTAJTRAzKm5DyDXqPEdury/4xagi4vx/d3D3c2NMglSbdwvoJ+kR2is1S+MlzhdY9u1Eodb3B4o6/v+7FEH6FeaRvN/MxnchDUq+qYWM2qZ+mTx3g/IzTjB6g+H7374PlvlFwYwnJXxO5eMiwHPNo5u3vy47uOfjcNxzuurr3a2rvvQqk92fQcHWrXoZ5qyYU+egK8Kv8YvLuu+DNOCdbk8eTZdd3EXrJZJmsQb0UipA24Mf0a3dpsl9k+tLiZUyuu62goEVIfPKudySGn5nmBXEZMt+kaT5pRxLCoH7gfFqz46MMSrz2Yr8Gjvjpz2dHG/HV7ai0ivv3UvlnhXhnByZcOqvfzgZvnkehRkfQYRZcQXgtkHqM92birCsS1gNXVWL+z4UevCvdBmtHRuwTsyBaJLrtbL9IvNq+dcRlGIq1jRNlcWKiwvf381evOw4GxUCYKwZynp4CP6gtVyvY627WU3GCOVD/o+d8aLPa5SVuUYgjmIafUQ4wNJsRYqvfnH3/1xsZiXZc/a3IcTqQ+pBYg6KNqJyEkEUYbwWc04kMbIdiBpgt1GENatsBN/zjhYncAcShIRrtsFuFb+I5jyKpKLALuMpZjJTfo+xFLG4tEJ/IE6hMU3Zj/o38V3V5PLOIVDxZ6P+Rfn12hZo3mMoQaMwS+JH5dLBBUJ8GjWu3Qsx4+gLtLGbtbWVUGKoOvRI4EvJgU68bTfXDN6WmbJhcZoeXf7ttN+9folqrm3b3764bvvwZSvX1216Ze90auIrmthON3/9I4F/q9//jtimZyAORxkmtkDhvMl1gg+ONGP/4MrsaAc+6sXfvAQY1Fy0jcMEy4XMrMbaKiec4xicMY+7kJvZ1NRlHq53MAmEt9N2vgdFWXMeYT1JugNrdvWdB8ZkI0RPdFJl37hgYZskIIQ7Tm/W3cUnxGuFzzdUBmkk/HDw8OVGKELyfVIBQ4TAoEMfDwAanz11Yd3nLWPkIIY8HyBvBzkOkfmXLFbL+QqgJxCSKgNotFqjZ8GDpdtqMf3Ry5HA83W/OfeGROn9bB8CP51wIk/IRy2ZstOZElUmnp8YmrFz+Paw3ybPKw7fibn6Z4v0Ll0GSLyIZB0ZIiDDa6x4mJ69T1Tzn9oiAVBP02dJA5r5wBWF232PhU3OntBj/1TuAjm7MM2gyEOhUFSNjJkB7CehTRXU5PuFyIyXiqSFm/H48kZApYGZ2rlUbcG+kJlBCleEdlr4tMeqALUnwYjL80arxEmAjV1KsAJVdKcVSMAAXJWkRMy57Qlp6CtwBf0VhOPUnwYaeo4wDMQtLPu0DBVILZwyxe60uVCzlbI7Jl1t500WiaZv0F4xewRgRvv7NFqFi/TcBnSBL5K+RDh4xVmEQWDophAP410uu8MDidGToO9B4zOvEt/DN8++Nnou7/9wPko9N8c+9crBoK3RA72N0XufnxziWO8IZdqScP3Kqg8KHi7VAZRksq9dxyeYq8RLQ5i3+m23jtAv5ZY3+msNl64xs/CwUlctRc+qe90w8hyiWF7GiYP0fp6iDwmEjD9KcbvnLPAGhCjCcy6V5uHm7vJ1SWimALMoDAgfi2UbW4HTJtxxhddoHhUqCE7G1fO7uygAILy7nj8MJ1eBTVrChRW39pp/O7NfImnrRQzlq/GqIrF0kDOd+53mz0H1aJJfqQxymFhxWlf8VXcxd44uOz7snf5pYVJL5v+ddkOcIdRw2aaelCYyYGWseASzm2i7wTfDH//3Y9/T1uhWB0NunJ/13ME9JCeX7OPbGDH82S4EkU+iij+ifjSQ9ISBb3Jk69q1rMdZUFBB71YzLCBstN1HMp8NRqs10u+76v00wVqOQrPO4MgGPYHgS/XHApW6u6HahW1KTJvKIEHBLRQQUpJnKgZDLoj6Us9tHikGL90KoVR/PJIqK3yeRPBoYTuUfjgqQM5iZj8iicZlfKF9OxS4CPY3SBmRyC4Rp7IlvPkLXyw8Z6xJMNpj+TPTX7g7Yi1w8muRt5z09dXv/2Wj6yCAYSxkkQ50u068/Qu6E60O1AGT4Rolfj3d1P4ls+XOIzYGO4PmoeiXdsOh6fEyntwzbByHR82tWC7mE5xv/P60vKTZKgvEUhxCFc9xUMi55UfvV0eFgzIRqcX9BQE8bjFlbXs+bNyGCXWofqaW/UreAOtJ56DwgOnHvaIbmoa5yvYJMIRt53BaHCFzjLVt5frVnQfX/V7k37uS5PpDecocs1z2uJc0Dqc30ThkLuih9ofh+53G+pe3PSgiey9/qIe2EuSKzA3Gbfm1NJcNFiWVbtuHNP1diiHCse7gx3lZotBukhT2cjnxJxEyzkODi1KUl7+saGjzhWjaRgO/AGmMl+gXGXaDpOPs+39YtYbTkxiKQLR9MoFnRE49HJcynP4Eadu//yHP7356cf7u7voDhdZbWeA9exTr5pBdD4gYOFBaj3lI3yHGqp9I2hxh7Ze9dQXbP0Qo+FsKIdhyNax16vZsAY0voW51wit6mwl7v2rTGSS4GfPddFUjYcj30Nv1UfeowrCDsUzY5QtSVpa3gBMD6KzRlIrgXz6l9lMb+2dXusjhKFTWnEAgbxj9gUp8hNoHr9V+Lp11fQnptTWdQCm0BoBRM0IRExx3Ss88gojXLQpAOEb7wCoE1+xpohU9CRQgga3ZDC2MXNQQkZeOSw0aA+2nMjOsngdsWMoL3CsELJebd69eYeaAKmLNY9ZlfbmxWr+nC4P1RSuT6qRh8xqWwhKkienDTTCdpepW4u6tTDls/uEPqGlwcidt2biTPVggG42G9D7qFNw6JS7bECx8o/qd1STDY3nZeDdLCNzFfgBcqJyCbnHwxKwFHnzEswNZhSgjbwJN4skejnCcE4+Ndc95v5NBw2iKg7V1V3R8/GLF7C9mrUPcO9JXHEA88/nFa5WZRLdZLhprMWKmap2HHOoMEr9eRz1OdtRF5gj+Ae306dV6appVMmZxEKuSkQq63AA5WKM1YBc6FxXz5eXRkMuO+n9ctYbHHG9xupMYJaAJ+Ft4vye2GBK/eab33LS7d2Hn5BSk+maf3QGzs+QtMT7+fkbiHAKG1i11ySnyXp2t3jRmbQ21evPRdCSjxrpQL0s8MvkrLpUfuGRNs7tlhFnXWDI1qBZ5ZauhQJsnQzHVw9smkRygs8Ws2i420MWxynLGHM9SGcMv6Ae0ovkruifFJAzfoCgJS2q0zotOUWILMWAOQNMXVZIc3o31wEopxmAQvUimEzURWgSpEy2UgRRAA1cKfGTPmrEIXepFjA/MDBgOWYhmz9KxR/z+Eh4wv6FJILFK9te+ln91Q9IEt4Q/RTnMFBU6RcsYy8vv71b3+NzuS9uchScXaGfLSbjdDf/yDA0K2yNvEl/4T2CKZz/dm6v9pGF8cjG735yzdNqtnJGTuuQm7q8lIK26yEuzl3Fsdfp/P9+RzWBp0DvQwAAIABJREFUWEgvA/+WYxO1hhj7tEeZwZJsGwntv9/r93jT+vEhuQjWl31v7bXwB+62kLM4oyXGIkz4+N7AXVYwwoPBRHa3DwW6UcKhLF/CO7FwR20uRwhrBCwlGMkQsJtCqzGyxJsCXtZTbr+y31lxGVd8w8gBxL0sVZKRAkA0VfyyXS7XG3Y40+VfjzyXQ137xa0avuAojbrIVg/hvNcfHW0GKwgBMiIc8MtqwuPRUmQg8/WLl74f/Pjme+2uiS5Jlxv+MUnLVd8D2UDkKuXTacyqWhWwwGh2O8M5T0XXuUOzqEIPGv27MxuHB+ZLDvwIdzDjNrku4z2bxeSh/OTyxdXL19//+N1sIT6vmAp8LxgNR/xDrtK02lWvYpRq0j+Vcp7+qDpHekcErBM75gB08H46EOAjiIATEX41TCK0H+D8Eg7gcMorYBoL91Pyn5UHVA3+pqBG+4AsZXLuRQq+20v85A9qyrPnvZzeuUQC+flClQmyErotJ+vGTuYt01yaoOEQhI5T35i5OEJKpeh+gnQxeWqq2M9X+yRS3F5hgSafzE0wO+N2vEjd7e5rm8GwwVxAzu4dwqH2pRSAb7Hl5ctS1vhWEm36l8NoOT++fwFpII6pUw4Kd13uCVlzvlL5HRU/rMeoJ1Q5JU8t9T73RC70HXv+NInxtK9xbWoqp7cj5fjKNMkwXu0cQn/fR9swjScvOP3e8tSZJmX8jud3sRShPrkrOlyMXnBXNGfIyzUDvxayQeALitAQEbAYABwhHNQKWHIjrxrKMrJkBRGPReI7jMHuIJh58lFT22Q9j9vGw6V8jCzGoNoEFKFKHad1WCMnnmgZj84ftZV+QYl8FUw2yTTCoEztAxxDnc7SwgFLG1oZ5lu641gheY8i51//9O8/vPl+On/Y5Yf4yTZKVvkGIt442UDEG2d+G8IuYymmNn63th4B/pl9nG3STdDt4/+11Mul4k2PsIGZh4VnGrqf/UE9IeP+s+fInuPvf/uHu/tbaDIYDElqKliq1xATCFr/BD0JpWxnPe6WlrOKlTLTgBP7VRcUUhXBgKJ5BNrDr07UrGMyfCaRAnH5C0r0IhGFexn/50G4PJk/A1SmR0ics6vEEEMAq8iufurrEB+4opS232oitJVHoe42eNhMZZhx8lY5b8dLp+ew3+0jc4RhHHJsdcPZ7YNN4uVeDXZtRVxB2MsoWIkgWF90L2sBhE/k1ca9dFu3uyG0zOKO3OJw9OBCWYmFMdqLr79WwpUcP8FzNJdDc43azeJNMLnCqTXeAXbtLmKaEAp3YR7NSBo/tlTxrxvgBF78joo+hmW+TrjdNedXH8ObJeZVMa4VNeGaG1zLpTr7Pv9aILyOuGpKd/uQzEaF53cxosDH8/T9+6iv7oouDsqY8o1gTY4vJMII2nZEwMLZLaGKNVM01JAPc5GrxJkIxuoOVqNyOSAOw7OEi5m3aL/kc9kuzhOTOzy88+ZQvKa/WCVZKVlTxWid4zA9h5OeV5wI/UVdrhcI/nx/uXlzvAlnMYat4g7qxMD6SzCSAfHSEOAVvUbQAOlEOve33/7O+eDe3H2szrnoL5PZmn8Iy2wgKm+c2HmUt2IMevhrMF7dqXp+v0gT8SPd7wVZfIanFQOQCMxgHtnTM/FSxGTrD9n+czUd0NKVsp3+CHEI5D9AzxOhPYOABRKlvjR16+7UXWsSiZCfQBv4tdM/t7hiyN2PwVawL/Zrec0e6/NiDkzRoqiglDJPBA88IOgfkaUU0WlBAdZEioTav+LmXNYV+aQHlgYKLGba9obLm9hcwxXOhou0yUYWfF/hU8qAQicJw85vPlr3apiXVmSHVpFYTArFszAQ8dOwVoUkPyQol9hGrdE3wfzjTsM0mHjLZdz1OptoN7Z39VoxIR+IFdj6g6HPCabiZC9vvnv7569f/s4b9FbTlRgWCOFUn1KkKFVCyIZJZm6r54N0jckxSizx2cj6pCBYaPxDRWn8xHe5UVXfYnmg7WwjJas1qiydB861M5fIrl85gZgMosF6E8Yvh+6w8P9EIlMVLkmZx+iFdbS8eSt3RQ9GuMmxuyOHao0ru84vJq6OEIqFO5aTtLiEN4bp3BGIgWAnzfroq0Su2nREcIJIIiQR0CGE63TKtVeddiC3IQjz66AErHz3FnrxyOpIKX4TDHIwvO72uAXhSzdaL5r7yL+4mBiuuWyb89raJONUOEow2O0b8giLEqRX6hZc+veb199gkvX23Y/0Q201SMR6AzGUD+xOr9/1hr3qBiKGua6Xe9KJ5lG8ULYiWds7MGUZtqitWO5NyidhkHfrZH1dThtgEcdbv5audJOJNwA+NdnQU4a+IuPpQgtFCHvzzqnV7ucDCqom6cYimPeqWx8jSLFQPZ06Bg0dATvwKSWaR407bTEpOqJJfKDggVclUOc97s3dJxYtyhSMWzRXcCStWcMj8CFNUa6+OlYpLkagX2TNVwU4oCvCgtxP3LnwrwHwR/dfOPtaWx4vOHRrz+9vV9yf3FCVaoFSsBU9BepFM2rBnpqo2l/KLNeIcqlttu4W10h7XR+/8sk2rAhjpaJ7j6wT3GfHPAXSkIOymAmvN6twudz202UU99bYj8q7vWK1D5YeC7VfvN70262E44TK7+g/uMsGCAYFMMb6uFgqJWwtBSWRNT0xun2b6tIF9UO256szhGLg3flpng7jzcsRF6vIhEABDj5l+GxQp7hx/hje3cSLBcbvLCo2Eqf0sJ3/M4xvMGhpy94M1jgGPSZxJvlslXa3m0k7c3yOoKVyswHsLl4SJJjMDOKB53BceLXZ4KEKOyroiGMqOgWwfCQQEhwUi7JqC28jraF4mIy5X/vXY7RuqPG4CBZQ29UiwgywuGD+KByoyvrFr85ppCsmbOIHil9eXPqe//2b74wFbX1muWQG8Xob36d0P1uH3mh3AhEG4CYcbEjiZbJ8yFVWuEHny7tJzGlYA/LKmVSRvPUDm0RNXlrgInJKtnbH7w9AQ0sO0OG5tvlsmJrCJiXHtfjDW4J+guZgcraApfsPKKYjWTWBSJUEgPJbVPf4vwB/Fjg2BmxRawt3gBN0E0wtRAhQhF+71C8YB49mFiyGkZYbij2+HPW6Foh0VafFOb2Byl1oD/khRX2saAW5UFMhSvBPw2mSrngLzdErbIaD+cdQLtEAGbt5gnMuSyn7/ro2nI5rNSfdCs0qnRtOF5v2bvZZzVf+N8F6GYu+7YQAG0EK5oHZbH59jXvSfEDJ7Wjr9O7mLvhmzR0XeFxA31yCl3BbywClXrsbiudp89ZueeY4HELhFQTGrgWycYDe5PxVRxqbyV0bF0H/Njx4TaHs3WMGJ77EoJJmNXqKwKNNYUPDrtdOuX5czLuFORdpFt1FLwZcNrzz48D8xjeCMn5vZ2ly/9NbbzS+uLoyQBpgW+8/+ygKU4YJ239cuAa55O5b5KrNGgWfy528XfRVMLzIVTJXVgaU3T60Dm7QJXOSbqZRAlnZ+8NoYDwayhcfHn82rRFXo7NlWMxndvF/8HgglxVO49akScZS65gsZBCKuF58tXhhk44MzEvSlc0anSAI8ODw49sflG24Xbo+zgrATZ384xMVf1rukA3dbtpdMbSW90tuQXZ7nG7qDL3RNsLY/DHBqK8ozLZpEwic/utXjviysmbRwjpNN588T1/cDQ2htpHedC9oHOgC265JsjXhTbouaZcnUYaUJUjRJO0Z6wCcX+oVmFO1FqSIoH3Ru1e6CTYhfikMD9absxSN0P+ZzHpOUwJTMZ/XrhimQBGpEzCKdyf8xYTqz//5Zw5mzGcLmBX5/De/+7bf99X21155wY3PHWwC1LCnI+A8PlI5XB0nq47nZ5zSYhe0CW1pIc1ver1X1xMf1jHmIrtPLG6UxgWeIKx8j+2AFwvADi2QVJzEOGHJmd3e/WWb/dOf/pmBd3tz+z//83+gYmFo+HI3CDcy1gy0jbMOw9Ww03cs6UpqBHLRVdAWVbu+PKe3ZXn7R/c7qnsE76OpF9ykcl9eU8B4h6/b8ls9eMqpsBserturCN8Bu3ecqvqwXM+TDbciFieYWKU4cw3DtDGzI3Dp3nAy0QsYJZvA74B+9rG1XPqZbVP8rDDI515761lylbgJ02x/WkMgiNJa4fiKnUNGikxm2Tq5uLzmCRM3dLS/AqI1EUMoydcRsga3BVc+sZpKmXSuxdvGs1VnglivE1nOCCZDaUU36XaEPATmNC0TNMkZvMU2/MPHDx9u34G2DeFAXL63uckm2rqO4176ju9euy8xZ0CoQzb3ur20YefxAEz9yghYIMO50ab8q2Ib0fV35ih2Zt18UpBVIALQDgiadsGmOEBMFxAxMGuJJniTg1+d1QZKAcJhbDR0u9TT4xDicKXVKnQTjABrsAJ/6MsvRYD57EKVrreKzyNSAGUCDXFcHz29UrmAfbMs8oiaHlsE9kwXM7wHYRnER33H6YQz7jZ2wQ5pC5yFzmpgMjETg/X4utBb+3zzkoHLc/r9gANHD+/f4hpQSVEN2OwEmYYMj0gGvUJwMaU5MSXIFl8+dMHiu3lv0o07OAWWcZGLeYqFzJMpriO0FCqwbfSX/77y+oO3P/6IeUm332ZbBMNpttAZhqUiPLZx9NdtuysZ9uW3aqMw6aV4Zuptu9yoygBlqwV9mbbEOnX+K8P9lTxDr7HnrLeDlb4YoKFZ+QZf3oWSSU8F1eziMh9dpGhmSlzZjtat7+/jl/3euHBJSqYoTrTWVm8aWgC/7J4RmbG96q7a1xv/2uEIcK6vUnIV1LEaejAKnWFXBFzOz3NKY5W1X/IZIR9VEng7m95dXFyzCc4OK/qtkwEfrPVzekkbb3rxepDJGeVe62rwqvXd3LHE9xORHfZa83DavviKBRqYhMetYqYgghQTDqshK2MJB9JfffUKbdYPb79ntSy9rX3E7gNP6KMBFx4hYXERMupdtMayFnDqtr1ptE6uznk2fMHWQk8PZDuDjovsrrYRmdmDwRHfFlqooI1a0DSCVxVsNQXiE3Q6uBmhwuRkddPTOLWQwaRTl8hYtWVMpqYIQDXSTRkelw6iNoolILwlmNYS15n5LbWtVPATPR5A9UCNqr92HyI6p+5yDXCdJg7qFBVYTnY9dgDop3+FKl9EkeJuzv5oiFZK7F5jNhJEIsFju+of6SCOGMEhTKGkMJrni9CJV/i1JXvI7ScuooJuVkW8oAqLRz9ps+TkEw5dQbEgMk80JevJkbKTqi6spvhqWy0X/Bt5DmvRopdyAArDfs74S5+qGQWLFL7gXfU9Kta/vrO5wQtDTQACjgPcpaj9sP/FzSXWKtyGy5FpDhWe5rKhBuyvJgmR9cL3bkLohFHPkWaVOtJ+9Ebco+esQnECJFvfuVi9B5BE1qIwSrgCqvQxDSjEa3Jrhv252HYPvac/MIQ36aq9xmXJ+jUOGzse9ld6QpUbc2x6HayMvkAhrI2r8LTe8gJnNLrEG/6g/+Gv/zXIEk0rYDBXz2b3k4sXavOqhUnWQcBf3kv0nAuHS/rQOjMXtrmQJfsnf/3nDz347Mww6rUe7j+0RldqljqzcCW7ls/AqcmtAx4c/vSHf8EkK2o+/cfE1g+CQdCXS2bkksncXbmW3ljI6F++PTbJkX38CnZ5gqg1C65TG8j1RBMHDaoE5u00pwmanQ5cQwEt/DSJDfYaTYsOy7UA0bVoSYtadEqPYodL2siV4vT3jgyld8/xCHzhTRXsio62tlr5J0L1FLB2PxnETDeblHIEbboMRc0/JlLO9TM+azuWokLZ+WoFgz7TL0kwN0cpmUm4g5xHWldq9Spdw3lv37z75tuvkjjeX6WKkVSaeli3zCArqn36X9FUaKqqavlER9MkGFugsyRfNa20Q1EpvY8tHSYdiPkuKgDrmG3cTjrbjhawullncDGZ3+J0uFCg2ZVkeCHibjyZWbg8J4kTz1yew5io12lK5n+cgD8sDN5vQryPHmk484gmCz2119Pt7Or3/cEk6Gycu7tb1FdNgHBtiUgniqtMLtLRUOAZ/O4wCSjgwkH70D/3rgBbXIl00pWzTUeIAoiRqB5EK4DmyR4QRxqCCKaFKtZFvMi1HN+/unz14mowGBTEaX31xz+9/6//PurtTAi51Hw+fxiNLtj7BgKL5ZFqvqjXiUyQXbZa0wRvah0aGwwH2z+82PztFl3HuU25cFpJtuoMLnHdQu+cW7yaHyAEeqdWyMCc5p9+/89v3725n97ZZZnDuVxm2B/2+0MUVtzfzTyvM5gJH6YCLFMURpA03i5+etxmBtzKNhU024juaW7DbDiaAqQYkYgUWmE4lsdHiEZartKElV+7yrPioAIGZxU5kFm6RLWNX7KxYOupiiqMbHig+NFXWgI4mu3cDKBtT6kgr/G34cgsduYd2IpHMewpwDAeTbxIe8zfU4GUZSlVV3lJd7yAwcnuFceB0DfTgfzGnBrCTlgML7aj0QADVo2nyrNJotWf//OveMjGMRY7ZEge0u1so7GRz227W/y40NSzZ596UhSzWE48aTtNYPTLMmiKYBvhyt3Ke6G77ga1Qs9eriMPfLly8LzNVdfcKmlCNxMrYR3WnX4wWLoRZw6rAfT5PIwXMgmidk+5tQu/o5hhyZnNNt5HU3Rv/+Ch3eLy14kXTJNDHt6lt4sO16N11/9ZO422m2Djc4vT1NtuYyUX15CV7qAslOeyjfHVVW86dT0/GAzY9a7aINaU/5ySaAjWEq1V4m7SQSdzCrlKNo3OkatQH5jrlhO2wv3B4OXVy6sXjHqYttRijlte/eGfH/72n0PLoVESR+woDfpDGZOFP+5SwS/0UXSejGtRBHIcIv3pww/soflu0Bm3Lg6ZDjY210sW98to8NXXLDG4yz53TamFC24ajtY8yTxerOmIHXjJQkH104e39A5HpMfDMf8c1+OVhqaFMx03oPQjGDpyl24x8ErVl7mj9HrnAQuwrsUwdj7FMAKf/4MTfN/bZU0cRtW8ClVpF9XZRDDZzo1oagD5SQLW4/pYZJBC7DV4g5AM7iyjzx4H1oCqjQCW2yJrXz0uUbeCLgFt0xxN1scBrJaCgSrTVDXXGSmK2WHtPabPhSnD8Zpj97LUV8EFBLQXAYv5NGAHmt3Dbme5FNsUepD/5/OQv+qY4ZqNraDn/cu//1HRTTG1+tGg43gFnA9v3o58g55WX5nHehys1IpQWIztclMk/XSwVg2Ho8VGoc5F41B5CENzbgrn1gUy2Pq00oLWGw42p9442N4V1zdZ/U0mp+2vPCV+cVuW20uimAMFbMGwUchHMGLas33fHG7a5/124HJG0ws3SdNB7hL6eVcULMC9s3GU4JsAo240WDLL8m3ucUkM24GoGsVghXHoLG436oIz5uHBcMi/Clg1coqOLr39TB4ZldkqcTarQXvrYAuJhkVWlDPkKhrJPI2CAZUVN9jgu8IdTUZXL15PxMfj4WYOhqPV17+LfvousG6KDJdzJmeuMXFxUJoKPoeBfClv0fCsou1db6NPsHDtXre3DeNle7a+aB+xFmpq40V3fffxHRdCo2EisGmgz8U35T89Xa+58D59waRllBrXL66Hw6G4J1EDQa96BizZyGwe7Qg5syS/Ns1O1/FiBqy+kRQE92LrT/yt8F9tPjhQV46PupK3lNr8JtFuBfiX5A3e0lhBo7l1BtTRyCMFLCadJsraVYKrWkb36Kn7r6m4TGefWWhqhe6YUvc8G+4WVxVrwTPALpEXBs0VU2qYnE56PnTZH2SqpYjYEkmQ0ngYpWcxZ28hdfWzKIqXy5Bx6xc+6KptUPyAJj3l2nU+joprejVChZlWqViJSSRvWcFWKrH3+IwEteCWphrWL8y4WMiGo2H8kM81qOuMgIvXhXARuoMgulsxTqS4BYKnTbzxhm52j3mQNHjdYz3EdRCX5IkqBTELHb9V/68peka7IM0kcNZLVuc1ZKmlgiK7vFHTjny4sLuBIOXgxYp7YVZLXFTjPLvneqPJa7mcdZUkUbScztgkUN/02TcjOcxBOKyvaprWpOQvF8RxXZr01qtha40vbjbJGbksT6ppJ6El3Ci8h1yVcd3ypuMEk+vxZDKaTDDAOQmEynR5/fIDn1MPH1xr32c+e+BQoVhrZi2MOa1BcDrgzzHnZc+9vYlCd4W3YS51hNrJYn2R9FrneQ/dNY1pgAuh75aiARMVkeOwCYscwL7hLtMTYlquoha9g8TSRnzQ3+3z0oQT1zu4IpmfcAlrHbZ7+4PNDhqQ73Vpv69MgQ9udrEG0RYCI/RwK3hLALIuopanxxsInjE2bFJQt01o8NZSiJ0HzM5FDiC6bTacnzMucoKlXTP9AVa05WfDhLqo+mnVqfIGhsJdyyDP0hA+OTk/yKc/6ivFiDmyat9d2JHP4vlsPpvO/z/23vRXdiRZ7Ku9WHvVOffcZW7vM2+RINmyn2x9saQP+nf9wYA/2DBgA4IByYYNGHqW30xPv56e6enuu5y9VpK1+RcZZBaLRbJYy7l9Z95j365DJjMjIyIjM4ORkZH9fqfbi8W83qKMnKCEqkF4nUo5tlqnRjywt5QYLeTEtqA47DkRyBYR+rAFFgULFQu9kwPVBH3TomgAPKhckea/mdc+r7PEShTGXXjz6bz2wkFvUGGA5+501igXTdxRPGb+MWRDwDNxeG/UbnBUT+Ci5FEGyh3Da63eu7pC5yBGAEHJvfv58trtPK/ATY43urn5QbLFL8Y3Qo1IKuu1sZdqOz1Lt4pBPvFRRi3f6FXrOcssRq/C40K0q5yQycgyNx2UOQ/vsyJO693O5cUl3wz0+pxAYtmuXn/yxnPLHscnBJ0a1j0+3PUv0LEq9cLalaBxfw4XeyOrl7Xxw2x0s3CI0twpNabFruybPP5iABmsvftpsdps8yHARUOgZtHWqFlnEcJgdCJsofkqxkimild+pEGmjEK+SN1CmA2KjxrNADnb3rqbckgwur4+1w0rmLhVL1TLE1RERVQTN+Vz3Fl1Uw1aEMWVo9xWloMVLPCGkijqwIMR1H166wI5qrdtYXrCg0pMDAB1kc4VTYeEI1oiCuF89xvEBMesIXFblzIYQIiUyCqVgCnZN7UmvN8kNbpdpNnz5uwPknrkEgGAq0jCeDR+fBjBSaC1O5zMnjUWs4xIwcl0JoeXod1GMRCEUAv5o5RE322Q+YjuAtVN+Fialjk6RwTsnnMeqsIjkolgGrH+lgvl2fVsWwYj1GB3YHRD7zTBr4XFxB1l+zSRtcQTKzg8R1kTKfYP43ZbFgh4gcP77ZRjcrdfiOgE2wxFjNarku/d/vH7Bbs7N4wrzt314FPHHbLhIPFS12wpwGJJYg5NNI2c8f4DvaIPFqfj5toXe1WRnonl4YDVN3qyKlUYCVCr1rWGM+i9fHbJBn7poadd9IgXn3/55puvo5sKsT6MHoNNhdix/jw2Fc6K62Vl0RzUvIf5L0uDBluBj7VdRVmOYtpbusNZSQ+EZpidTCa0C61DtiO84GkRhmidCmWQ2TZT8YqhnkRVOKKYpN0LkEW6US3eQbfAMEraAA0MjGnr/pt17VIZZ0hAgCG/8MEuVZ8lQie0qE4C5COWDrMGCyDCdOW75QH1kX4W1C1MexOry6afeAPHQVu5Ayhq4ZGLJuH3ROBPVBw1NgIZkQzw3LgahWIKBfpfJP/T3lJju9Mh8AlLg7fX9y9/8Vzrg5n3dw9/+O57w2PBr07Y5szdsxSh3/Id5rt+r2mWz2INstl1BDx9F1J+CJVUtCVd0ED3PU/rB22ijaS/QEZ5kkk8qALMDUMK9c1hwpo05ci3ZAUU54P1zVrfKv584rvzeQsjFue5oMNthWw4hi2HsPBjz+tUSt26M/TQsaJ9J5QaKz5JdNBKMtxtl4tl1JbcdED72jA+bGib+nPeFKejfgHDqdirUKxyokJe/FrMfsC1Dz84eeTq4vlgoJaMnEBSs1nxJOpctXL15S+v//7XBHmyyYwBbCrsdgfmS21tF4BSAX70L6YVTHGyQ7KxrDqcGXO+i8+JznI68kr2sELmMpyMGeIcx0GS93rBq0alQ6IqT2kCzPjMBcz86gVgl16qx7Nt8UR+zEVkgzcSoGEjIFvZN+arRov5nRrBnwtUo/qQpvC7VfioB7jERVFlnULeC0laHeT00ntbRiHuIkfm3URb6ugbwCoBR0OgoIyS5ooCYY5Hx38KnKO1nPEeVLESQoy6IMEYaAI+ciL/6RX+Paze40pt1wEODNpop0g2LlY3N3fPnslpIWhXv/m7r3FXB1ukEMfDXi/uCxxAkn4jFJn1wcJkzEGiHM0RWx/UvLuakNKQ3E95t6wvizNclDazpTT9s8L8eskGxgCB4/8YxE0zcDItB2DPpi42AnxKFC1+IR/meNU57VaXCFbHX9ruWt4IcHFUXdTmKG9l7OgSFoscG5k4vqI/j5KtWnm+rLmruXSd8DLtsnkkWcbbrQRJMQrWdmoIgVQLcJ8PVljmZ/0r9ieCueW44ASyKs5VRARdrKarpbsuffbFr172ewybUfHLASwlS4yp5rGOUeyzXz7+4ZtWZI8YmwrZDtpsyaZCvn0PChWRUvfPlgzyrkNMD4mJPygSgTPGhVMRI4xgyx9P8CasbdYcGSI4rQTQ4gO/7QWPeIuEB/OIGBfQRfIjocoAxRnYKUVZMxwlA8BvyvfTLVjJhYJUqznRJTMCNNgA7jhgJa56KcIABWEIP5TeDByVb7Aiz9IheWTXABcY8JsBV1+BLjn3ZjsiA5ATOZUGSsXFCi43ho4EQnKSllZRRrqtPSPP3lcAsaKvVPC7wklE2sOw2hC2F06eDOFks7+hM6DRTX/87nfVZgvdQnqaHOFSxjT997/9Fu47Tn1wOWCjFQoWnlrQIkOLalThrySYZDaAIXY4YPFNZucpZh/WAAAgAElEQVSwjKojr5SEnWFrvW48awz/MGqUNuMOdRHa068SVz4KQGxa+2Re0KQmrcZkXpcqtXa/5zSbTBI03fv3d6PH0XQ6akpsernItqSXNBeFZXU12mwy1bcn/jaLDbcwR2tj7RClToxYJaaiHT6cWM3PWTwHLSlZUKt6Tg2Hdw7KUwFTOuhf5ibsSDvFkWHylMT0ldw1bIkQVBqDkoun5X6i9FW1vpjNYoa8aF2MLPRbhhjiYRLGlk+EZbvk4/xeLjZXvcurZ1HuRQsecG9ZllKm1ev6Lz+dvf0+uqlwMhlhKqnLpkIJjbWxZqQA+WiT3VJhUZZdkStv3TvN7yqZxnXB4UBoPMmLJQJAxPJgwWKVCR2r2+0yq7JEoBqGGcFieQ94pLjO0RlaCxWVZDtodKg9oAob2opxNzyfKl6cOYN/JrVYq8v6YMbFDMWFPKPq8Mv9WRQYywoZNtJ3HUpMBKrMwC/2SlGMJT71IzRQL5dWxA3kcT2d5pSTInDImdNibugIfjRRCYnRgnih8Qbzwr6h6hAcWHILDqw4pFQ8LwfurmYT8SgQoS29/e47xOiyLQkvv/i82ZYIDqaMtBQCRg9HY4QiYv9KmBx5J9oWbvIz1DTP6zXSTegCiRKJrCZxiztgw4779Q4w735Rvyiv328vFBoUIz+CklbGr6EgoCNaN+F+ehcDZBI3f/KgUBLg23Nbo/u7KhvZjO1EmLxeV53SZOa3lxtVL1LXcbdrKsNezy43jnbjiBF86LGjixYYRfE42H8Wpdim2W/WbyesvKbSI7zakpoCM4J4lhK6YB1Yi5MKC4t3FSwVGhWUj6QVyrWah4/OThwP0JPIVWY/ICuIpXpzUljN+q7TI6pXefZ2wtDQb/VFnk65cpfuX11du7P58IbFIFvhePhQ0U2FeBSZDzD76k/oZlrm2xgz0aq2qLA34GyYb3fzJqc6zB69Yl9dAxFOLm0+BBIdi+9epn80LeYX7s+FBkM6F3Vh5qQi7lX+BT5daJ66fzBbslCb+N5WJHXOT0SYmUTTCeC+q1wmFgE9qxqCM9wA58SchyYCigueK+eVGxZI+iBks0RuALHhYyT9jLeKJehy2bq4gQb7eFB1UTgHFTw9M1VbchQaJHDloYWypyOQDAHA2700OVtCaqB/6Bv6sYEDLPmHCQqrFOt5jRZxUyr0bQSai3YjI+Tw0eN57ujdzdWVhCI0Er7kSwvzVaPON2vG4p2uEiYgZJKUmA27FrNlqV4sRGIIIzqThXfV6Y/fzWo29pvhMC0kFicAyU+w2KYQ0+pjkYhLOzYwHId10lndqdVevny4vSVypbTdUuAtCQxaK8wnS8xzadAOTQdZOOkXOcvEGLGIBy+nGnIE74YDh8L8M8vP6kmv0biX5aaA7bquJ+Og0awITEas/ijVfG/jgUVg6kJ4PlX0rXI2GPn3sDlbdqJQn/AeXbFE6EX3UetA/vVkQFkKREU0zlWvrq44d4Ejq/+f3/wnf8SGSjFyFBfl3oveqZhZHuzhlQwLV5989uZbl0OmEjYVEtwAh/c5C21/YheKwqxOTPv1cr7uEcl1Hx/2k5fOghadfzYs9J4xlDE4bOk6Bq6Ow8xEeMGTgSGXht5fY44cwOGSwdCYcKgI+PS1eboDVjZUa74iWzSQR6zUZn1w3/mDsYI8wh8ui7OSsJvt0BTlPKUsZGEFnDkIECM7poiDimRkpnqrf3ADqbQTaHHBgoyCB70CJg1/UJGcmcHf5uSeS8kBf+4NHafQAoQA/KYaW9+HuNlSpwJdKkRpt37BFvorVUIzEHYInA1L0Ks26DebrKkV3rx5N52MRa2Rhl6wVb6BLTjiNAMQp92dDB/Z6CvfMVSWUi8QqMUgoznkfjlb4POwdu0rsVbINj63UnTKEudT8jL6GQbrvQGR84d2xnYV1isWLBQsyk7GY7zQnnXEXiUqZaFAiOrH4eOyLAcbnvEC5YrjeNNpeHjOSo5XZZXnH3WskMuNammxdEY+n+/MOvhhBAOdSkmvWW1evvjhp2vMrlpiLX9xZ2ELIkFfVaJCWOZvIGUi4xlfAoFMbZX8OR4goNbpepMHZJ3PfRMRtFhutgdXzwfPLth6ggwbIous4v/NP/kXRKv49fV/XjYq1Rkm5j1rLskEWZ7BYnufnHUrFUSef/HLt9/8uiVhzIJXfH0NH+/7wUmF6z+5TYUsuQbrg/66f/T6oArrFreSH9pl4lzcrNp9BuDkHGaT3UFe8GlwdtMZR1UrUDVrydlAJ5+QA0wOct2tixS6s64Pwp56o5WYZ28i8FUrQKVJMMLtLZ+SAf7bJtDp7zAFKwXs/mQqo2I7J2kBiORSXQoiz6i6RRECsvr9RRNPuVfGKUVKFFQAEAURWvT+FPhaNhgA0zSL0yvYghBrGVVoAnPOVsadBz5YqnWHw8f4R2gsG9FxJ2OQ0Gg46B4Y8ebjR3zERSerbQZ0+NjuX3z1V3/FrPDu7Tv8CGbjiY9bRkHM0dK3Ite6si4Nasv3EqUzTCYDS4SFcq3IGr1V2nj97PKS06ZLTqkgh6XJBTC0P6RuS7nTd+m/2r3xajBNLyJNnFX+vX97c/P+Bld9ej2lqZFXD/f37OSSQY+4MEdfhjoAhngb1AsFAuDI4TkSd1RCbjE5/UNRsGxrp7OULO16Zb6s+is+CANVm8G02buocJIaMcW73WeXg2++/f5xJKEZcNriXxWXQaRsRxuWFlDum3Fst1rb67cldDfjB0pB9ogDfN/qeeMxDs/tweB5t8P8Z2QVJdJyUKhigbtcKX/W+wLvlF6zzwM3ByBqgWmZ2GMOQBwW/OzLX938/W841dheRCkzmwr78JbrT2tT4bREtDtZi634pUbzwPXBoJ9bTuS66ZQWd8O7Uv9Zdm44GfWCZ53hjNMuKgtTYAnrcEo32IzTSVhiZ7WCx8DKsJyUS07RUfAcHsaHbmKe/IlM2Vz0FwYHSh1h0GIiMHOBmFQoHrXmyOyQHxV6Z57GAKjWp5B5lP5hLihJrE7zJL46SyKVHw3HksMNQBQUv7CSXyji5mjgmQU3A1W2XGYCSXyppJg5g0pEj9pwaFNrYtHtxHK98eKz13zT00/D+X87R/hElXKJQlJsV/AAXz/4/nrhkiDrf/IdUaPj/OKTT37xyWtOZhBJM5Hu8B5YXwym48n04Y7gdSE8+bte8JleHr3FF1KOQQQ40OQFRms8TFeLcvSQQYyYpcJ86RFaHVWf7c0ETBxcXvz4w/vHu/vK2sMIJGX3X5gElkSoBzGMZWSHouHD4/W790gZKiOXwAAFzl5hhYCYe3ih7wcb5gjKy6OU4n8jvbsQcKxwp1PijuLtDu4m7uifgRHrIAEMmZb0F42z16jfjDd+0rD24urK5sVU88//6V/88OO77396x8cRXoKyJyNJwbJFuIm0TzRZWmnTi7be/AwPZswvPf/0M1CKIkw3WS49XPhY4CbWNtkUOTrOi8ELiNNHuicjmwao24+9iuZp7eY0Gv3Pvhr+/u85+MjWyKbCiW4qZLyNhEeyGT7OG7g3M/sH+dzuFerBoLQX190evreIyYDoihe7tNaOr3s6BBYKudgGTpBSdALu0/Me8gYvcj/VASsbkOzqCnPIt3fKZdcHG61uVLZTsudKppuoYkSPyGPQ0v5F7RS0ZRNrOkDB2iWGFGril4tqtAJTY2CXSqxyNxEgabrXbuanS4GKKDlKVAY5ZH4y7UqoRPM4nVio2ADRJpKmCiU5/LvJc8hdy3wWUwUzk+/F145VneItF3XKkO3qSIAwLxvtZrXSkUPfzEDP0N9nSeDZJZlBAVsCX9tkI+tkPOGri4ibbZzjI9SgwRQ4mY+9gav1pDArLUvtsnjZM7MyrSwKizqnAIaX++g2rxq315OqOMAX2xeDi2eXVM35pUw1rO4txo/W4hUWSv4LLdPpTIOvkGM6mT7K0b9Vz53bNQ7QhBCmsenDrNZbwW9KKWlbQA2xStOm/2zlyHiQuKOMrnLaIQ7LeLtjQMOWlVHiH9grXLAGzcbsITzqcYd8uvBnn77isIHffvuHuTt3+i3xDN9xKIjOkQmNGID9iBhvO30itmgAvucTwxb5ZzrRb3dDhJLAMMg/XpbplfTBPaNcpEvuMPiAhHav57947b7/wUk4qbAumwoXdu/YAWA/fFYPG3pF9g8uPdYH94UWPUFqjBIsqtXYm09XxVbk4yEn1ViwuGjpc8WCZwDEqzZn7bFs7BnVFJo6NYA7erYxr8K2epMTiESBgQ8UiUE77hFR56LX7Bq0GCu4LIaqkO2tJa+CBSXQwC91W2K44TpdN4rC3IvxQRnSIJPOBb/4tSzjBubmJ4eykH8QPvkzW8QOKIL2ER3sjBqViCH5NjpW/gp2ctK3FT5GGjSMOXYsMd2Au1wqG2weZMswnKY0Uot7u1PEBSSKqCgfjOZAGI9HQoN5yQRwfX3Lr1bBtzd6V2z9ZjlZVTkk7nFZrZXd0aJgFxsXqBs0jbaOgFt5K1Yn5y7HK0ibYX/Szuk06pijOEZk5i/azkYh26E1SABzd/hQKPRm9XqzKU6jb99iu1rj5M6Qyj53W5B1O2wkj2/G5WfCbTHURcgO5MbIT3BvS+a+IWAjZ2s3GNSWaFcmZAPOH3/enlhbgrOfU/VK8arTWfroWKnuGt1O+1/8s79+4/6Aq1YZ562dvVZGeANZsoOsrZtWVRE1KUc3poV3hhtRkba72C5QRI/JmX9iPhZ7VhDLO+w15gvBLH8zKsqnTjj/7YI6V8rFy5dvXXc+vo1uKuSkwt7gknOi1gU+4v4EYmNNOOS9yHC1rrI+mDaknCYmJpomJz0tJt6C7RrFWqvbvzx6vQxdgQvBPjoWvAoAvaDEsmjaCTmZPRdpZDJROGSMCkBUukTZN7nE27dWB23kHAHml4mbl9HMR99DCJApzhzBhzSPQObSxIPAJihY4BrVPBQcNLBqQx0HQc+Tee9AkAdIWh4YBN+VIjsy6mjIL6/0Pq34z5geQwyZi3XJLb6Zd6IzxTKlEbALLi1nZvr49tZpNjiYDGQYohEcRJCRmF+GY2UvageKSKvV4Fwd5Md8E4s9u9HgZOfAM4nik+kUrc/2QdYcr9/fkC3gA1Yqibe1siYixWsxXrZfdcf3D+z+2rLd+OsiylJgioAprPyU7n9/z5IdO+7QdvhuY9MyeiHms7vbe9ynWk5CX0ikHjq9x8f75cr55OXD/XA2DUziNadajGwBAaFWB/Y4xgWIlSea0OhTiUCPTVxWKyxuYbZj5mEXEfwR7TmnGBxb6Z9WuVa9PBoOPQSOtki5UC+ciiMRCVN0bOUoSgvfD7swlOH8fgycR8r2xKTfJsD0VBkksUNzRQaWgGi4UquVMP2azh12yW0g53p6/tlnb75xS8spc6bChBxxeB88YzDn3iM2ybkqewI4zP/ThsQXXc5XvTVB1bel5WTUrWo19hY+0f2cFt8ETqevn4unEMTgrF7wqFnIAMMjgrEXIDlVvyEn2voKfS/l2mZEPJPRnALubBwt4rnw8Qg0kFqjpRM6IqF6D2ggvfZxp2jeBMByQReguDS2BewlERB5eBKtiQiRm0kOcPrOTIQb5gKaV0+hXVEdwA9FOkpA7B6+AJBL0zFUsLrMY4yiWKnjHqnruIJ5SkkDW3sUD9G6jB5lGysPtCfKw5ra9R9/LH72KQcOojmhtYzHQcR80MOgxdIeNh2sRNMZB5HKFyjWLGLDgA92I5bnMGgFuJn8DPE8UpZFN35RgGADkIViAhSZdbco4St/VawQLJFDD1kw3Gj/Zhf+xplDtdMiWpccuyytNnO95gKbdJEg8pPxCJgyEsLksAsEWKX8Aa/FZPT2jysc5+lz1FQpMdqxDU1CNksv4n/iyU9nnV6jOpYgquiWVJAC7/hker47X2CcESMWPCijQEpQp+Mh/pwl9/Fn3/tE3CnUrhaH79+XX/8iYx4qcbhRsdDpNJrr6u39MApqU610w81TJI+OnMH4GUn/eW7NBJGIZyo+dAH6Jv/4UmKisvOC9h3T8+Qjin8M1/L99AQf2yDHWP3iq1+9+e3fdeg/IQV8lslJhdix6J7rgrvYzE2p9PxML1zWB8s+apZZHwwD4J1BLsQcgMHRn8uC4BzvA1Qr2SDUZifdGcCH7EIMULN44sgdLmZPVV/C9/KXNlLx0KHYZkBFyDghJwph9z4aoCHNfEUpG7Kj1pAzcKMX/OFi+KWP8wtWil40T9o9FHHJ0G0uS5HNrynkoWuQmB94Bc1jF5yFqzdwM497e6xUzkeQhi85M8eyCVcMXzRdGQpFFlvYYe9jZT/OR0sRPK/WMH5wYKi5zmv9OF+PxM3l+o8/oGPBagTJcyWuFZcEeV8srl6wPegLBBe60JY4PQaNCnrEcWCxHI+njNPdXpu3Mrj7Pks0WBE4+NlzA78Zmpce7c28NnGL0X+2mw0rEY6wS47ZQaUoC4+oiyzlZalRCFW3sAgd6Fm9J70IBWs88TotkLm9uWNpEqtbOJiHuff8JX56EV93Av0VOOFH0ApQAwctWplVVrNVRQ53BjaJB9awB4HI6xqLsz6u+zbuKP5YrFJEcvxDv0WIWqXC/Y9v+q9e4t6XyI5KsbpYe6Vq8a/+8qt372+//f5HhFNzqlBxX0KJTudr2PKJ4D9cIhJIhzq6vui6IepUCCeQasSYoYkLHcJaqcM85/mrmwpv//7rTqSh5KTC4UO3N4A6WSw8dso4D4rpUCZllujl4KGqX5b9g5Zt6UX2vRELDW7sxKpAtVowxTc6FSzyTA/NtlhWTHMY7eLIaTQRAbXcqBc8c6jqLjJ4mmt3ViWZrrE4+oScUF8HDup9Ikro9BqgATNyo5m84k9xmEVxuEIvyDCs8JZLK7KlEuu1iUDj4lF1uDylxOhqyyfeKE8TX50lcS8CWgtowLJYjVCr3Iyl20c7MtqUM97kxDyjRihSDJXJ/EIRoqyQ53OiddOcexooA37qK53xU18f9gLvnze//0Ox7rCuNx4SUoEYceVBm5DjravXLxFiY4iSeYkbsztQFiP4R1is8WgyGo4xcRETEps0AaVYU+PkGTIzvelaIxvoG5WShkWBM+7Cr5uIkOShS8+n/pLgkJzxYVbh0qc/IUpnR6Hem13/9Lb/7BJDGlMFLlxyJFoWpzeiJLn4kLYdJ6UUBcQkErm0lSMJ57lFivyCrIgS1hQTOaulxtv9PMD/bKAwaLdWq3d/+MPg5ctWJ+GITOyP/mqKkRN5ePXyqt/rfP3t7zkDCQ6I2JhWpgXVAhpjy0YYYi9+pkfBU2X9WAR0wva8jHXDYq1U4ZAschp7Vko3OAqBRrPZ/fTLyfffNnc2FbY4qZDlFBPf6yjYT1gIyZnWzfmDi3Wf/YPb3f/wikPVar4gEOwS1arZHfR77U5nxh4F9rYw5JlFK5qAYZZPXJ0+Dq8ooQTyw8ACQNYlAI41i/uMgEe8LRPtOO2EnK2BMF4dfGPS01TGLjSjeA7zjMOIpledpo1sl5iTRBVgqIAtdE8e+YUQLi3CY7bykAaZdC0IcLWIK/DE/PYDJfGtJMLlo/FIBRq+gFoaJnwK/oI36fzyzK8OXkewg7K7wGN1nfKoGOaEQOYoUZSCItCjbRIhGKo3UimONZnzfyKQ1MRzDoaCJLGz13MPO0Gz19J2gz6CODRbTbxbLBo2sjYpmKwe7h8xdT27GlSqMkyjiM2m03cShnQmIgeS63W7Ue00HcJrERVD1gtRsKpeaV7CR13B4r1OrClx38KCRQ/cP68Al9ZANfOvf/iRVX3iSNVqshhJfaQr5xWMZBUsqMokW0oOvxGV7MBSFKCImPD2XcSL9F0PIgjZAAWYFRmn/tzCYuXgQzaf6tViZ1V+ePvGc3tsWLVDrZZCh0dRQClGsa8UymyJ+C/+6V9+/+ObP/70XmTA9r50NE4VkWzsD3nLWHNI9tS8UKTrhkwkfBExF4RZVZalH/GKi6FsbixaYYZT/6JKzN3X7s2PThiOH4jTyYigc+akQg/cAnvGqVWdrTxH1i/LeJquOTH7IhLe79AKhDT5uJxjsRoRAYzNLM1ut99j4zMmJaC1OzIeuSwXYOv35swt8J8LkT5FzaI4l4yNZryL6g3qacNmQ+oVx4+kwWyVHl80vdMIb6IBGjIOeLbLiHUnvj4oUJIuw0nRPnXTNxTt2t6SyuVKA7iqRvQLqrCP0cL7Faxo7rPfq45M/7SQaV2VlcQmtNny3AA2TX3JU/yUPCKnZoyzwgo50JWfKFNwI5abu1PQCssyWyRqbPtqMe+jmYzmoVDplXb0NVpJoT3oMyhDsiooZIMo2MK4oKoVL+AJi3S3N5KHrs3bep2z/lr0cpYL6RX43eK/tSi6xdpifU0UdgkfGvX/WC9wrMLBnYNOiviwp0SnCykP/gbTAxoJ/0SJitglQFJQ1iwys57nEraZFcwN6HTA5Kk4jU++/Apfscf7e3/KST/EDBMGJhaCb76J+sUqIaHLsYui8f6phWxIJi2R3uMSqaBVK3N4E6tNN57fu7oywcwCYERf43OH857xdCG+Oalw9YtPX1/0ez9+/z3KOym7/FfBOZeQ5KGLLrNga+1ywbZbXKJ2i0gvOzcvmUi4+M6hPzKuhnwI+pHyql5jjqmgZW32puwid0jKxcsX7zipcHIvx3CFV3BSoSgauHSiYn1I3odI7P41WEyIzsD0NV85fqXe2gyHu9nTUuj4RgdYuPP5WI5zr1Xb7X6/27+4EIojF03ANwD/KCKjxOOYEVSnTuRWzTY0WaRE8i2ZubRBRbTSi/B2MpmYemW3NmuIpFigAJl7ErP3iMsu+NKYaeuDNLRasPiGZm00uxZD05alSukiPWrQygaS/y1qBhecUU1GW0GLbzSbRHAoQJRMfHVEojaktiXFuSEF+CCUZ9Y5tEao1YXkQwvmzK84KxX8cpGiv1AEXacQFS/LCHPekWQ/QDOo6chG1UH+zZf8Xi6NhqOLy0s7B0ARbLm5uRk+Bo7wQGCD4ctXVxLZQcTBWBxletBapVLUhAW9eFGodL3xO4/wvnwsLM1sFyDAqX/mPykuURKyx7WAKKoLtUzRewyAAB5w9pJ2dAbTrAErE4GQgYgXly9eEHOVqWw4HMG0Qq+HOBFW1J1Mlh5nHUprbF9FplvfndXFE2uF0oiXBjrWn3nIhm0W5HlC8+jWK/czgtz6mLIavUGnh1ueFEXqcJ1hrvEXWzEdCOKwenH18P6t5JGvpm3e65OZ5uN9Ng9Ch+QR1WU2A0s1ty5nc9ctlTnvNnJwE/CkI5nFo0Ng58qLC4xLqN4ijvBcNk6pHZikYoSWf4jr6Y7wQHv++edsKiwvZrSLogiTHx/u+heyqZCey2nQtvpcNJw3U6TuOYpOjZ81J5BelZoJfTSzagpisuIfe1bGhPcjCkG32+n3+hcDeJ1YVNhtrk67wkD67t0NKggiyojBxRsKGrBbahbp5OFSmKaltjIk1mUTAaibDfk4QT1QL3gSZTNSmgVru8dYUHpD17Hrg8b6HiAWyybTqUmqVOuJASmUKKgjF+QnaoqGMclhrmLVHfFoWQ0mynmq26NgkZUGOKIyCpqm32KtkgceClCBk3gE/DxFgG/rypM/Tx5LF9QhXvzGiMoDJGeeJxolg9ojQ4NJiagV2mjaTDabvcmDvWQuckzH2zfvXn/yCxF6A/P3v/vDzfUtr2Adrlnk6vU73FuQs+K9N1lftMMDH+TYKREPb7pwrmrYqir4GZfKi0hId3bO8R+gcMKKWrYMTFOrqTxAX/6oOhXexeZLUbfMOmMopRa3k2+CvgAz0mDjVdF78eLq+fOezPqSny/Uhwc5shcutTod/s3c2cP1NccVB+AMWuBMdjk8R76fiTvKcqrsixTWnIz3RwEgSu1pCKGddJ0aOlalXnQf7+burH91pX3ZGHYDkduuhBYTRkZ0/6332qBpzbqV9YSH5dzn5HBxtJevCNlmIfs6/KnnzUrECKkH4eVUck6oZ09RhA2/HC5UnMR1Q8rDTy7GRrNsePz3M+Pt8y9/9e63v25jqTY9AuB8veqmwjLx536uTYU7/YrwV0sOwORzcFbs1sL9g3t4Ka/58DSq1WI2X0yk99arnUZn0OsP9qtWCl6+vlyit/FVv9nfQDOxHAbTVD+TYQ2hMVYA2uXElTKgRb3gPddduLO0cS2776p9RQlhL7ZtZU2xvzaAe3T/IOLBpUVE2NLNbxYONyAfM2jlLBgFknGvKgFY0QWyFCxQz6NdAcgSaWuFBqrRRrWJsRtKnZewGPwTHy1d3ECI/irv9JH7PPw5Ho1wQAFCtoweWoWoHEKPgWt+oUifBJT0xBMv0VFwGx9ev0fIXv3iJX6wv/9OtSupmZ1c7OBrshbY2lpNx31oWcbWLdxWDDSmA9vH3VFNArMviceAThX55OKMnGpx7a+qXpVVRaBvUBdCtqxTm1ebuw3dm7SnuYPFYGdlKVYJb4kv//rTT6On7RpzgJxWjrDh+oCPGnst2a5N0LHdVmK6c6ez4PCcfyBxR2NMzPeIy2C3Xn1k62W9uvJnNz/92L18hmN10Wit7AGLgZHeYdid/s2jrbHbJjFIJz0ypCLPGAowD/GZIYvi5uKAg/Wcow5mhUqdI0HRe6Kd4KQqMwsjllwM46hZplLtesoEuZdXfOVWwBlNCxk+hj+MFRdf/vL+26/bETtOsKmwKycV1gprO/tm4nuOl+kUeISBQcWZrzor8VbLUxkWd2JH0ZpEOZ6gmVXrtW6j0+/3Bv29ViuFzwQ0c12GR/iAwo2OZeuF+Vw6kPJWb2ivQJRtvtNuVNUG+NEn5NjQVnQxGJeIDq9stpYJ+qXk6BR8NEU6mwNKrKHG7kVKIgJHJIIVrZOlYDE1xvRcULGXrRJAXGDGr03McwOoPNmOywF2tAgAACAASURBVAPwg5ilsqjUKSFCVTpdT4p8QDIqEDaNk5lk1KmQi6aJRIOJqh6HtVsIKsdfnCce372h4z/cPzw+PPKBgkPBsytj3k8qXlk7jTYzhW+dY3SrPGPI8mZaKi8LSzQLorTTDQxf5Fu+XJ+zMiZRqAoYxQ4UQoOF0h9hNECMKpSE4/40f4ErRqFejkwI8u1IQSoyf5Lg43H26Rdf4OPCBiFLhaiHhnsoVxt5llEgeSRaVSuy93IlB84TFgvOs5XpqHltP5lnzRFh/lnhpgFzqqylVrEZsKBVWi+H1++8TneNQwunDe18YdSb7Vpz3KjWmfzSAJLOcJHx9vRXjEYhm/DvXjCbI/aEtNZRq8q7lU+UpFI7MH+eXmMeCIglXpXZ64bsdOGfqlnao/NAtnn4Ept/8sX0h++astc3uPSkQt1UCOPtBBy+P/fffW3bX1TH09nKW1/Wtj4aE/GAaWK1Wi6m/nzKQr5RrbqDAaqVTva7pbSV7byD4cedzVihU6kDoIlh1rCaLilM8FGZpCxzOr9nV7OY/hfusSfkiAuIXus0xRRitW/hCIEwnBd/WARAMBCDkwlme0a7SaqCpQ2p7cG9thO/XLQcvyFTjvyLQgOcIwvnKAbmaWyCHC7VqCCEe6HqcLookgORI7MA3HwuM2qaWsKRdS+4QJ1S1MxqlEwYu5jupuwFfVQGvqvQsSg6aNWRmxcvnyPFapfagmcIZCdXsepMHmZeYVpdO05N9gZzoejX8OslRPK6zpmDBbwvVPU0TdAsqftnAkmsUJBFQzxsVZfwQPEtLsO1olNeTeUbPSF7mCRiUCyOV5NqqeIUZGlgXpaxc0fBQuOnTYNi/I2giwwWMO7f3d3GFGqUJRZVjddwUFCqM1SH9W/9JZixu1jgAIKDrMYdVW/3rUx/cg8h086IOCDbdXx7mOeWGD7RRL3Ro0eA2kYCdxnTm1/+Mqg9CZknHQo2VJuWtyKEBDGv8Y+lQhOgS6SUb5iFO1kuewyAm4JPfwcH1JjBFJW+bshGYXOoIJrF9ty/F8HexQUeZ97tm/r2pkKprs55NIQoeZpNhZFemo1kvVT5ctn3S0tn+8sqVorRbLEg6MJyygGCi3Wp7jg9FgRxtsqtWpkFwZhqRRhBjFOdrigfsRrtI23EW8YandbPpaZAUQlH2WX8LNqg3qT+YlFiSLRbQemE1tPOZtAba6EkkjNoq2zH1MdYkSMeVWFgtEeoKH4W+IGCBdO5ojoHNDCrwbsnGjsU/hFcyFkEEysiSGYlSgnUslAEXSeyD4AAyYnMEdlAkipswc2dTQpuorlkbtD/gpfpowPZUMUk8xNdRu3QyUqYr9/3ZbZzSxy+aJ3yUv4TIw+NRWR1jjSst1cEe0RVefX8U9ed0GDVQnkmvREXxQJq2NJdSgCIEH3+lgmOVanNfY+mlbDvZCsW7/muKheelTuCwf4LMGE+o8T0Puu/+807BzNQykUzPcynDp78zfJ8uHSMprcqrYqLYuSk6aCw4TbwhWKpCb2N8kKC/PICibWmO03FAUtIZv4POyIGgMieqgS0iNPHXmS8nCNxR8Us849XjAMwtetUb4kJwgpbfb0eFOvVxng0xrQQyxl/jIiJSq5m0LaMZz7fc73VmVeqi9mY+Swqz9ItCJMUqln4At29+dFpdzk+WaeK86GwHxLzHxcdOWndkOIyGOAgzz9xz+L/3KPo5atX7zipcPZAXBWLR3BSofHmPvOmwsO7DBoCxy1Z3GI3zDmIFn7sU38xw9WhVm90CWw16PbStWEZxIJlPqAx42DJtqoV8sY9F4Mqb9nWkmdKohQNRH5kg7bg/kS5leLHnpATtTvWIqpzjHXh/sFCo9mN4Y8Q5aE6BjDjEWgKUPnDPVVk5M9+BRDRsUCaK6pz6GN24Y/trfTdUE2ELu3nhjIh7bzYUhGQzwtzB9pmHKH78FZG1cjgzj3/HY+FQtup9VwJIAayfFsTk559H5W67P4AXeKRQgj9Ag2p2WowFkdrXM+Iu+bWltXWZeXu9zPG0sl4gkIigUT5qlitakD0MHQHhagFu/EloSGfvxgTqFQCh644UULctiaTgj+uzhmhojVk32/4W+3X+LpiyCwEUeUTCi7Z04Xr/ZrFy81EgZNYpRSxDSMrpqj5K0zXJjO/GxFC30JKmXGIZk92XoxGY8z+WqvoWPBTvDb8ZoqngubEQKiH5/B5VCF6Bc4Zop4dwAKF8wF/M3HbeUmAteIy9cizg9BmSO83nNvpdAmnKtVOr+1PV9Prx7uS07+8jElmAHnTYvGq0t/Ecx73jPzUHBYqHYR7MZsUV35E06CJRc0y45/MVN7wYTZ8rLfb7R7RUrZ2+B9X+0Gl6IPhuiG6FKcM2D6uTJJGRc75R07Zb4hBa18FkH+lmwpXhCwJxIK+NHy4P+emwr147MNz9z1zNNYKsyBoVKu6Y1Srfn7VinEvuiAI1SY+GarV5mM126N6F6uomgX/o6B2M2ek0BYL79j1wfBjG4rSImAxCKuVC9NbzdkcJ6r4Y6lBwEAeEjKQPOKVwkd0gQ96IqI6cOeGhcSKFqKAoqXQTs6ObhQ+FR/dnBYOQCCeXy5LuTJaWuuJD8mhUovJ2W8ALu1a47N6hioCfEw4fMAE7fsEQ8BZSAA9Wdeko1eNOmU0KjpAIq8q1fXokbgqs6urS3FOD69u/dIZ+LV26c31j7Uu0VZmfGjV5GwI2TaFgoHQtooSiAWFA98FIhpcvXiuUwi/DOvUWG6UnYbDSct3/rXPKYiyiBdWsP8v/JXcBKJpvlhXOe/CT++65XVxjjqFzUqDRFAOF/7ykgOgtUphSthugke08cRIGb6Uz1OplLjJjhxoyMYcuLONLFKwlPjQ+4gpyuE5HANgQjYwLMk/grAewILtej+uJ//Ff1f/6X89F071SrHnNN65Y1aZJtNx97L58N5bzsY3P7n9q+e1etJ2sB1GaiPapjwXbolwaH0WxfiHqMxnY3TNqJqFdX5JnACMnkT0Kpbn49HteETk6/ZgwGLUDuKJNZwtEYaAI/+YUEz8LPvVob1A0GGg4yRpAmgx46CDZPOQnv2CTYXf/LotHS7Ak05hToO+lE2FaJZHB26Ids0z8YAvJrmWcoCgtyqWCZGJ1epi0OlitbJK51ZltK9emiqqlSvhRK2M7apW5EQFqdcse7cAZj/o7E8DwVua4Ih5mYZYsMHi8AuKFqGChQzrh+UuGBtftOo0QDKWAZy54Bgk8As52SIUK773EYZwAZmq+aUuHjNKaU7NACbJTUKm82IZQ0jbMpaY8Qg+XKpOWdTBkAuCdwuSmVe76R9niiWNGzC0mNM5JZygnmH8cVOD4uC0O0QI5WtCBXHDamiKIh8Oi6ytyCHQU/f29h4dS6wz5sIojslr+jjBfbXTa7359VscttpMg8Wi4zqliJdrpdH6/C9+1WTzl/BN6mBVgl/6mMvWGlYT2CbmlKZ3bGDG7TSseINZxp1AY3uPmIzK0qlkNBQtLQ4EKmrNEiYuXO+X4lomkU7RF+eFjaO6rSZe2LQ1MLXF+UQdzeflOlr1ulavPTwMV8T70hFa4uMsIL3pYAmMDzEWvr1Bx/WLeIJIaL5lacVXCGNDgvO2LfAndbP43f+EgnFGlHGdvlg1bpCZ8tqv4K8tAyimyft3b5q9Qbvbjbc70mHb0t5Q5sOOOXLaVO0CaZ9Px+wijM7XiJBsNiywVCde8IRQe/hpSgzfdm/QaGl/OSP/9oMCSS6jSyXvN4TDTJBczF/kZBJLA4o7+MXnv7z/7rcc4G3zcAgya4Wdbh8dC2uDddmxGfbcRAeoPVlzvtaeK2YrPB68dalcZ6Bq4knW6XbgQyIUmKCXvmU4lFHMNR+IZqxIVK0sqF3lw77aewPPyQMEDBN7dYgoNJAsrXzz/R9NDu53xsutPIvQ7YFU3CC33kUerBLWaHUiyVu3CDwkwD2dfQ4iYQtQyoPC5yVth5Ryoxyz2e2sZ7pe8J0APgkKFlnBz5Z8ihsqBo80yLxVXYob8mjOKN5pBW06JMTot69+9hulzvYxpQ4xjfHc0G64ZIaRQIXYDCk/Ox1bCDR7vatfvIQK1i62XkQfdpDnlGWGDHYI/ubXv0UixN9PvAkkrBX/f/LPrhhmlwu3xZhqFsU4ONnCwzn0k6++QDrG45HlIR4ON9fXsvXVCBciJif7lmfRCdFCyL7h+J3WZzVvtihW1oTdql1U3PGi5ksYCEuHgF0Va53ywiWYfMFp1RbTZZmxAltRQsdKrtB2A1n1QKWaTYfTCR78o7EcOAZLsNvVyuVeEybkBgpitRrbrPAIwdsdw598n36kcUctO5P4s/MSS0iPcymXvrtph6SCh6QBiagN3nD5UJjT3Kxei6rEKMRZ6w+3/iwIlLUF8giR2ip/tgfRSrr95bLjq5q1bSINvOCxZnFuoO8N378dyYl2PQKq2SHobKjsA2Q0Bt1vGF03tD1AGpsvmdARXvQs7doxwM1Oe/768+mPbCrcDAhIO6bzpjmpkNaLOvfEim892sq3Uk95sKoVVquFxwZBp0UU0N7lRSed5wwqemnFxmrlYsNW8vnFCoimBQPTMDPfUDu9JS13SjpzEBdDRX41C9w4JC0F3p5ka5oCRtrghgSEDlicdrtneyZwopri7qy6B6Ecr4HJRWPR7ehBQr7RZEiEdbsAEoZsiskU9WQXyClOWgOP1Milj9no5kQK4tnSkjPzk2bbpU4axISA21svfDFfypExQG9P7UfJNR8LldYsOG05u8A0o+yV21SgQLdBwxN7dbrtStUbPTywOZBcsotE/oPwNfEXXG/WaNecJDsrtTw+PvJ5butCvu9u700HQ6SYNKmETVUVjFgwnCebM3qzqq19XJz9Wux9iXMn3BUni3FqyrQ4xae+flFZvTXKX7T8mligDXc9Bw9uJJS8J6eqlEzIrmjG1PtwH6vNICt6hcJFp7FayfqU8sq+zXkDJ4k7ijWMz0S+p0pr7FgEH1XNMyeMjyvb83Xlq6az+G/+1e/+9j999vanwX/5X/8fP/5hNpZzwU+/kLvLuuPdLx/bLgFtCbMkeyaMBwKBsm5/+rFzedVomoXppMpEwMJPwaT3T57GpNjo9Farjjcds42QBeFolapmmc/7SmExn9zeTB7uG90exjkKRnN+gHt4Fa4bykTOWB1UKqqh6aTGVGxesfLFGlvCokzv8hLF17t/F99UWGZTYR0jFhOzOu4kUxQZopIzHJUqdmYT2GricRpAueK0Oq1W72LA8cwyGCVddiTUl8zTGFJjqhVu7ImTdxQejqnRx1PuqYtL1aw0vcHC5/PPd2OeDPblnhtrmoI1aCuJuWXR2Lxg/yDepYl5dhOVBPovUoS88ag9dDfnoSm0F5zR1gQsxakFLnElgip/9dVX0XfkBpVzYbNbJfBxlFGp4p6LexAAV8ExvE5EgCqeWsGCyyAbIxBaGC94ZS8ykC1KneFurv4Na1bzqcyK5mLI2FSX3Fs373PfbQBt7rIKk0tUF6OvmHszZePAXm+I5xDpWyEYDFDSta2VLdro8AG2MCJNsNXMvPJ6STAFcppLtAqPEDFjn5CiWI12MSKoAacVwmxy8hZQd3eqXZm8Ia/meENXVxV0jZQOjOpR6pbXE9lyqMqMJQ1XltolnacweZjWFtXGq9r02o8NBNRe79dnI44sKS2KC5b2GGHrz2vTsV9fVRU3izwkx1LsK1Pp5knvyKxX/EW+Z0YCfGvZcoXciNImfP/YvN0TWhbiZHaEcmmPDan/vNv792/evHvzw+3w4c6p/TC8/zf/5t99/7tvpBNGsm0K7LtT3srecOGMGHmwdj5ymPicEyrLsuoh52PKuM/+AncyFjcX4x4XADaV6iYv/W5Gb9hX59O+hyJiJFw+f4kzMOvjuGNtMwaamGlkUypUsY4+fnwEc4rQMZ8WsyTofCNROxetLC2gAws5QdrgrelmQJVWiE0KzU5nOJpwAJ4UDS8f18O6bOplGhP7V5i++ZuQtHl57J0QQtWYnIeuP2FDJwuxBPx7+fLy+dWWzEQqoLFE8MDeSDnTxHQ2m4zHaGjkgljEiUNpmMhihEdgBLdwssp35FkbkUpBSSTK+DYl4kAiCw/+5G4XJUmRFk29xEoX+rYyijvJDmRr1xe/C6DgueY09liwYpUpCfzqvMPbRCpipXYflQkKhHvaGs5wAY2LG5uBx2hxSY8+cw+Uc5mvgA40fqlVf4FvEDs1Tn8M591HqttNPHtKtHsocKhjpo9x+fh6Gde3G2wDinY8B4nA2JKITQV6t91FJKvJvl0GZo8fHjg2C4agyBCWh3w0gb2kmBFEmCOK9LafIEmIiSyrbV8EoCKpmhIiYTXn+GOcq+Q0Q37v7x7Q1bihO7InCd8HbDYE7K7hcNKqzSfLWtKiHRiu53ielubrpexSDP3RJ0u3XCnVfaJBFOcLF1c40Ry9cokDXKXO7QsITgXJxhG13Cn5q/noj26jV109yKHLW1mlL2wpDfYt+baZat8cf8P4vazWJD6Nxh0tctAewzkf99tYHV/DeUpCOGPViumhWsONjsVNfIHxyZjc3FYnYxqRahCs5d/8y9ro/nHi9luykwgF4v/8H/57Z7V+Uy69+q8K0+9qK28PXTQ3BaUpw3ZBLBE/E5VJfglNtC4z3weWKlFH5itMWeRHqL3x442cq/Ocz2KhHLz3VCi5PvAFdfTC3uCi2x9MRsPH22sscJZekIHTy4UvTvCiUpb98fBmNORQhXYfL/gkj/4nJoAxc7PfEHf38ENIm0g6hVFz1RGero1BS0dFiHrx5Vc/fc0pOuymDFqCV8bh/RnGMcy3rjWAGDhnJ8XIDxPunMBWuLEv8M9pdNqtFmczt9qtKNujVZOulyYi/BJ8IbIgyBTMgiDDZLRU1j2feY6DJGflOeqdztc0ipqCINWCgQTSV96RJ+TgjG5Bsdpm78Mb0/LhUi8P9QO1qxCOTD2KNtoIVOgcbd9m3JBfpdG0cta0rlwClCqj0Sq2FCxYBqyMKjNegQoXEDQPcLhocn5jpcgWSznv4ylUZGBi6NsQyCN8jApcRtnjXiHATMd25t3cHQcusdQWUNN25kfyGgnPOe1z6tV0POn0upj8nTonckm7c8EfCTxgLk1RaVjMsV3NMX0zssw9H2Wo2Uldf0lEXLbFjYej0WjmOJiax5Mpgxx6FfNHvVJuNyT6IKRwPgentI2KuslF9EWlT6USlDh2B092tKLqeiOW1XZpOpw71VrJw8IMjMXqiu9Lr9lvzd/GNyTPJ36tVZ0PPU7JYEImojyHUTfaVe92GTObmaphgGXxhjIwOYfc2v4XtF65SsiGeZNAE3ICNJ1TdL7oEu4Ggw94B7E4mRGlA42qiE0IjUqCJoHapglAp/vixWjY9O5uW4Ulh7vdff1rf75Q7Yq3bBZ7dGr/8sWr8fW78W+Ssdf25tfyharNqpMIJaKJrq8CySTHh/JsscJ97/PPP3OHw/lsRDuRn9kTUym6iDTbwifEVPviWcusiWut5NErGYkPm8qkp8Ty2+72mJZ++ObX0Ap/eWNxETVr6bP7qoyaVa4Q9OFuOqk4jVa/jy+2zfbBbmCgrhsyq7H+QHh9rVowNlibLxN7knTgCE/mF7/8y3e//bsunnPhBWGYOCVwAzpWocBp0DkHsRBArr8gLLseTczQEbLI3C1nhbZRrZrp2whEEM2ldQCEAdC6sZMIE4xqdaiqJJPRrg6Ui5IcmVSBAHGN0scjhfhFEVyjYB11IXxaDiZsb9zZNCUf4zpQlyt4apyq/es0xMSdwSjeIlQgBlZK4EHEqT6gVVCQxy0FC9AgsRcijAYEl82p2Ch0m5h4k7OKxLI5E6kiDybZ0ACSTSC6ah5eZddy0tvkmTo/SNGFA41DQYlgH+2ksx7e3bNKyFcXE5fLAQ5mGqcOhIX/cDaXP2aIx8g0XfPB5t+9v2nUq22mV0wXh1/IIcfeFny3whnJ9fKafyuBQ9OFwFBRRa1Ybtw74vq+KB1zsXSHReQvWwI1noL76NYuOEB5RXytwfPuePjIWYkR+JJ5MVvUenXvwQw6fHQuy41unbOYCZElr3NfBgPo2cJkT2lYEMlBN4yTxzjItiAiZxLgm5heJVGwfq6QDVjSl40m39psZ5NvydCVIUKBUYUgikv0hOKz193x1fL265F7d3/59n2109LMY9dr1esXV88nr14Xrt9ZCMINigVyLU9wRAdW1CnRqIxhn3TVqFCqxKIa8o2N9EgQY3n39evH+7vx7TXSQWaKoomrCwh2TtJxAOpdPouqLGQ7rO1MgbP/CPERmUDbQDn0/MXNcIxv0qDFXGZ7hyC8XOEOLpsN8RDHGjF8OxvVai3jBS+M/OAXjYXOUXTRurk2i+yKSzDdho7wKDhM+hdf/PJBNhVu6MKkNHx86PX6uHFgx/I4Qfl8F8ICfKYYf7EYY7kS1aqLvYrAaXhhpjGNdL0UEcSPuFZR1QplhYTj5hSsubqSyJx1kJEmD1eAiXBoTqimBzH3abdC/j3vGAcsKR5+5zEnhP0oPvTxvaz1cj4O3MuD7d484M8FNBhFZlUVIFDh8+r0FTxTg4gcVWwpWNQB5TEU4S8XiZZCZe5xogCo4wrGsMp4hCqkLSND7BV0qQBFCcxmtM0ZA3XeRyNQEalCwmKtQ1tF3mfXrrOOzQMkVaaCFje2Mvs2/w1wau12s9sl0o2ZvGSvrJO51qBfJdTLp3O3dep3iUEV84/R3aLiLIJsFsOwakkAhbg9ydKIl7s53NAmMKOKigVpK9YYzCpDzancfTNuvi5zcFZMwZI4ZTiemTBT0L701q0XDse3xmGaHqR9O1JT5DYwYkVS4rdbbWjoiwlEvADPYsRazFFMMGJhiccQo0aseD9PKHrmpHWl0n79CzkoMXLBMbmMOqW3kZeFFb55ExaBvUah9vnf/Lc/fPsbzJ4SRpUwFpPZv35e/r9/+2sptaNRSbOpjcpqVMbZX9Qpc5PIOMZ89AxVpFhlIx7k3dufCuYMkNhyIeHUr3+cXbx8Zece0E6EGSXnA9zL90TkQjXkib7GVDWZLR9m065TGbSIUxd1uuJj3Ry5Y2I6sPiKBjm+v2NrMJpWzAobgf2EtyCMeZthnLkcPcv2OCVO+Uyzc3AnPgTVysXC/2L24+8bER3L92aTSUVPKqRZ7Ya1U5DGqMF8jHblSfCFxapSq7Z7nFffv7yQk8JTQKtUi5Cai30wLInyfclQoCmQScrR0yLDaYOh1xtO3Ar77MT/7GQ1S6Z8tB6D8+5UiArCKySfA575nk6mO40dJne4zCsPiKLJmzAgsQNagded4MtKH0//RcCgCxqRLmiBItW0TocchQDMzYykJhlV5aw0gAcXbc9vtOTHfA/XMoRVJcMSCCEw+lACKW67xxOyIuyTWVXQLEmiHEzF9q2qU0/QhtVm88Xr14hnfglR3wLf82GjRTCLxuR3huyQduilyyRaf9CfWHpaLSRCVfLFECGb8yMvYZcK/Lroz9hYXmrWOsX2bD7zRfPavlBavHdzMw8Vi6NyjUirleLUXYjTVxSmKZXdAlQqPLF9zQiArU/SVSneRmDvEx6wjCCYEM3hOawVslr4c8QdlRi0zOuyzxQyzQBOu1n6hA7pjOLSwmEiLlbONcvHLHFK/Nrif/j263/7r//dN//z//j1an316vW/LZTu3t7MS3NA0H9jGhV8xobKsJWtUcVYx4wnq4HhSqXTaLz47Iu7d2/9yQg04T+Y8T0vMbnFhrFsdLqO42ibblotBvTDPqquauuEm/AXhutkzsrsg7t8dJftWumiVY15FovyyQHSeuTOqjC7v5s+PBDfjgPamR0szA92A0uRWy7ERsxZoTnAiox2FLzgX75+/RNCc/1T9LiV6WSEuoxzUnUtUTqZ1I/GHLGkxZEylPsJvcioVuwNHFxesGqGcCZCJl0vfQsQTFbmZJtAtYK0o61WtkZEXNwSCOZSWBKIw/eqNdQsWdQ+zJpFfi4QBrKhN0VzMhXDT/RCNCyLRuwmmSNhJhtEAzhVWYZIuPgQQm7lRalyeXVlBOHUTSRWvaFeBg0urRjCscuIkESczBJwOjyJhpAQjhTkBhq0Smo6HNT+EpBnSdqf+9gcUeSNzGyZ32QEP1lfhGPRWo7FNFc5WkIFMFkMDYxAnQrhBROxtmFmS5p2BvCO1hCC2vu30W4bbSSzmm0oNAEJ8nka+9zezrbzJFRuLhXRsNrw7+a9vVsPC51VI+O85zXdltOjF7G5XgCgAM7Gc1ZVZhO3ddG5vn7XLBoHZwvd3JQ5jadQrS9XDoERyiwa4hmPuShBoYtSsA3DPElP1O4ojypjGaQlQEhKQuPzi6XqwpepQRZNA0+s0yEn1ZaeVpQ9NMyUuFIF3QcboWpUnrfAyZdw1b5XIiIlNsewtcW4JQ1fXM79f/+//S8vSuW/7l2UBpf/+2/+v5k7RdUBAtCgZUejitK3h/EgjVCu6sVqueotPacYzJog/OzVaw5jGd++1+VCIpPjkaxEojDKUBCaItIp/0BvYINYcs14rlWqBcswaMMB+DLyV2OfCHPlfrPadLamOFk11SN32OiBr9vocTYa1nE648id+jFL+acTz4gtbuCezILG2SCgRQml7bl59fnn37uzxeSBUcXWOB49lMuXGMEYb4SucFnKZth7g3SFqtVygtxW69VOp9luY7VCt04rjlTopRkAgl6FdsWNpmAx4fFM0/kSpV/BcuKFfAW4jz7DUaPJap6qDtSbOPPq/AiqFNc8QcdUcJm/KGOL+FETmQUiL61BkZrTA7gH/RdC2E3JuMGxT6gocDICaf+tpRHS0vhAOhd8QAsC4ukagkUrOCqHcYQJL7ENbNbTbyAVBp0OJw2CshJa6IbkgaFcZ2SWrZeWiVyybgAAIABJREFUoD3s49PdbC3cheOG9gdbqUwtx1k2BASq1bb/kYWb44YBy2k2YXKOvJssskjDt6m/cIxtmNKUF7c+nG35gFhhYiGzzKpQHICWP9nWm23bz6a2AhqFtUlEkiO3i0KpVVxOicYZqkQrVaDFJua7eFkUZ6Ppi0+fv/lJowdEyoa3HGDTLMuAC86r60J73di1dfF2i1NmXAtbFXHltTCD9j2UpSEWKX+LhXq/TwxWYrtjdS+XxIhV5sTgla08peBZk/HXGF9fty4vmb9nE0KLufxD0UajIgD3RqOCfpkjVcwFQ8SF+UFtVPdL5tA75833yi1Z72Py4GOXPIfKIeod0xEhZRG+anVRXxe6S9pv2fceb72+01PqaaVuv19qF+/+8KbK60gTwkXyaLUHVn5WzkaABX6OYQpsQ5a4dkcrxpbxfDV+9FoTf9CsNNkUYgRSiwrLI5sN5xM9cqcRHLkTyRlW9eR/GXIj64ZyYoRWqbgg0J/+xV9+9//+LfHr7IcbhMumwgvdVIjDO9zIiyfV4WfF9DHzFxO6CsuqnTaxIQYXut0yue/AQ720GoDsWq0wY51JtZJKYnjADVWz/Omjx6FKomaxQ1c+bKiUe6twUJbHo+dH6l0c5eFOh7VdVb6xYwQo4+QgjUBmaw1ZH0Q/4UIBYk0WAHCVxg3zxv8CFDK1IfLTCEBtF7U6wRnKxkEf+BwYfsHmSVWfA7Hanz3KQc0tg4hRQmmGPy1a0qg1NPKJbMxLogcxu0veZMFKEdM04Jt0CqYK6iZX4h3TEv0WMUx8m5hIG1EbCyzIP8pZrSWH1xKqnX1D0DsaTb2ZOx89iItItkKVCP2oRKKx45lkVlFCBQs4IU/KxGqfV5uVOgibqTiSJ6U6Fg3jw57m1B4fjihSQ1JbkkbGpDcp9e1LpoXp4KturzB8wNWdf3wgyDgrYbH2FT7fexi3ev9+eH1DnXygINk6+kCsaFOGLfoL7YxusVU/EGFcRpdaPP9Xkzf/kXs7TO/DMegbDMgsGgoHUK0KRTbN9QZ9PouJIIr4fT/6/XA2JF4+Ml2+LI6vp+3IfrrmoL4uvvSuZ/7DHdhyfrnTbOmHnMrKh5LWLFrhm7RqKGBkNQoW86gV54Tig3a906iPprLfvuGwkrwZSkTN0pMNi2w2LC899+HtGw5JbfX6zfQwBAl1nC8JGhneuVRpsOuG1EAjfvLX/+SP//lvW7GTCs2mQpzr6gXWnPevFKpRFSc+N1Ct6jWOAet2icbOBog0UkSCzaUZEE5RrWJWKw9/yKyltzTgaelww34VRvPQhvUqY8jcnz54JYnCAWqM1fzSs+AeBaP5D71nGC+tAJI88kckKAo4qNFqTqAQXdKNZmVcCjb4EjSlKVGs9UIB4qLp2esKCXA4qgORrk3Aq6MVRyqiCn7pSnRwQOljgMGBf2SIA6cT2Z2nUtCF5jw5d/OAoQ4c3OhbEIazXDHMWRE/1IS4W93elCfimJIJpYoA4sKgRidh8UMGSEjN6BUya+1F/MwZquyxN+48ueDKFESPnzMF4Bbf/+uv8AWKFXQc4jat3HKNQ+FsW8fypD0a5sCCIwYOHDZLbNmPxspSKATHehZaMoY/DXuVljl12jjAp+ERTY/QIABNC2Y1Ylj2CBrCosl/6S71fm82GtXW7M5HuZHhg+2EHzgmFs1DnfRm2ThEX9b/DGN2NSqYAK/EOiU+2BEb1dv/S1SGHJfVqJhUpVY2YtSqTl0O8aPF56sih650ul1wkSrYTYrmVRcXpHq7en1z31w52hlB1X9cNS+rjUK70e7KVF1H4d5SZY6RuxwkHJoFpKJFMMKYITLsHNF34T3CgEBfdltMaWwdQKVqNqpR33ZphbVuNmTJqUIfHt28Gz+YI3fabTXjhcA+3F8Exqwbsh1M3LO0pdCVX/7FX737+u9a0ZMKF/PR4323dwEhrG2wUp6GZaBaLZZTvKMW62LNqXUJx95hQRDtJK0U4qGXZthVrZihUQVYFkyDcHQ6cltVH/EkEGDl1Ph0XPjToVsg+mxTej2OaWYLPGWTCuVKg5Mcf5krq2TaGs/s+iDpaZ4b5NEylXoThGMV0fSTyQRaWKXlLSYVaAEjfo/WMWJV8Ag0LnioahaQqWI3W3aKKFiwG5U2O9/pb2FEzlogSQcvbrRe5R3U7qWQImQ7HdsPACGNzCiXcKTlpPm8yJBxa3TNW+7ofHgB0yIZjcKsqCjRdDJkG1JardSQV8x8nuvj1zW9u3Fq8X61H0/Iz80tC03myWE5Ok4RYKEiYbG2uLl48Gpic8laVFWJ1XaQzrjDmi2IFoPdm3MbsXzXl6O4+/313S2md1ZKiJxDL/swRizDFn7yalR7Vv3SXWtVo1ICsVER65/Jl/AEyBWu0JAb5XS9VJgOH+huF4M+XzAE2EDBYvR4++MP2Coal7X546JeCqbVepGTi6Z+cYZGFgXCvTbyTlPHcn2gR7O6GtQFSkw48IRxE2YkY2AOu2SPLXo3DLroYhgosCFtuvAbdeFZpBTMmfOPOZpvez7zJ3e3cuROp4t1h0kkkvPD3TKwhOuGsgrGLNMd9N3Pvhx//zuMcRYPPKAmk5FsKjTtFZnjgyyY+riYRFGtpgTlENUKXbrDQTcHqFY7vlZPp1oFeGMJjpBpEm1DBwMQz9WSrKV7E87vqbM3lo4Ao9AboPe46ZKBY57rhJz4cCw9NDSbs9cm9j0QEIUNKbQzJu4fZCQBf37pvLQ+hKhh5ThabKWJN3QinZGPWzf8eXpFlBLYJAN9OPZBj15nVEWj1f1c95CplPKrOEAmApGfzLDc+SmwPfIg0IzazNlQkVEKArmkQSX0gdSza7WKFWc6lG2GxGEuyAaowy8KZaGUCLDKdtqIOsdDv76xS8eK0G64jDGvooHZRpEqhc6g6nQM8tIEKKBbgBYHYweMVGxfZN4sXUJFN+vdznQ4rOEuvsDnST7OmEDj56lkwsn50vCFnz0aFdAQDgSEYV5sVEZSAtbl4xOZKYUfFSojreKUq0QtRJ1qYdQQK8xmik3EnBWKhTt5/37htB18sTjBr1IrEPnWdWcg1Jz30M20IKC8x0Ljorq8k0hou9DSW3w37xOmxNwNcaTiIyec0RLqjU5yotfiElcq9dp4ExaHk9nU9VCzYmYGcvHPbjZ0Hx+mw8e6OH73MnSRhLrPl0Q3wT7EP5qG1r969ZKdCP7tm1pEQWRTIRE4amwqNGJmp3BGYBMudDll6+oSDcRxWk671+0NBshQGo4i3ObSDCCAjYqL4U5TjGrlRb+W00Cdks4IYYpHe0uyJPIp5VQRcTRNj8MrVM1CaYBjh6pZMjQZF71kzANcktHAEBqOkYXoN20UFCV1GZGbRrujr2A2ksnFI0wGZzs26hyKjsVyvzhqHRKkKVpv9j0NSgbYhVQoAtn59S0crnyANTX4opLHTSCYZmqCR3qdSxABnofsp86jNCqxWhdkxsQiHw4HBjJAJA9kAOJ+YIkAccwD7CpiegsbVGd9aQFtBejlYsElmGbzNY3sEnJ9nEln9zf1asJMlsW3QCnJynLCOyXLABBfZ1kotINFXrCmUARQVrnEIapyVfbGi8rssEZjHh3f3Q9ePq9cXKzeS2TOufHEYrw4R9xRQ5D8hP8ZbVOmLv4zv0iCMos/RiUSpYqbzXCbxYnNO3hiihuNCmMi6x1V5LBKZCyGMkIAXRZKt1ixNyWy7kAZ7QGrzMNwsm6xARQ7TMkVa35xMiSALXrGRs+uEW+oth4uZ63yJnED/WBR2BQ91110wAGm4bmEUc1QsGxvtThQighUKGqdptNvN0dTdzT10URhsM0jwGlAs9mwXILrZfGCn4xqzSahszBsR3N+yHuEbTaTnSiXr179NOXIqxGSbxEYjR56sqkQtQkhNNFC+cFq5c1nKw68chxWgPvdXr+fX7VCgJlAiRoK37SiD6NaURcdCjOOGfEThwpL9+YGZjRQszjWa8yeTAc1C16pmgXaOYczKC2vfPOFuYFs72RoTL+sXktdmJUTM5JHO1MFDAlKHGwl2QqssFuQVuCi4fCCRwy4z0nOLqiMFCBz0dGoCPjcZ9cinsXZOTIqy34FZC7t8/AIVHikLtPts9ogG2zGWwRF1cyMPE/xyhAaUKrwIZNrL/f3I7OllNCXcvCNLJshZX8NBmY+yAEwmUS5cFHH9YGeAKW71TCo427VbDp8Vmrgq908iSkws44nFuNWGeNBqrdEYlkSE1BJy7o/HVzIJP+r3WhDqWpy+yHEcxjOxRNTn3eMWCJUxUXjqur+XiNvpRbdfYHP6/D2vn91OYG/LBlqyAazQrQ6/DQRYU3wf0ATyhICn65Rmb1+R2pU4pyORsi6AWsDLPthpWjWGeLE80YbSellirstrC7XpZvUA4Gi2QPRhRQ+AHmoFBnRa8NHDuyde6P5eluPYhDzxjNODo/xVqXirIIXqyHXYyCcEQmTkdb8y1Cw4GCkxKYiShKQAmaxu7DTciYzCWTJqn1sUmQ4Xyw9s2UCSOXFdPowmZQ5cqfXk9ibW8PXBvhT38EKwpQNXn/y/ttv2muMbUGFpOumQvo0vogz18dq5XHWYb3ZQLnqE/s9K+IX5Oil4ALVCmNnuN8N+ceIxSarpyZQ4dO4xkJ3sOhhBmoQNWvlyin11YYeR83sCXV51CzYufTiJ4blJNkuztJvtxegNwBsLGI1Xx1kfCEzF11VveDx0gv6xQb8Ge7oWVywi4r4pd15TIR7No1EJS863kEYl1UyIDsRgzMmMuKit54RYCIopVTFUTPEKE0sdUQiYA/VlY6oRYrQY7I6aaBRSU7NZjSqelPcD/FbCPQrebWBQjq+wCSRJ7+CpbxtNBy+uzuDwej6bSwWouCQfYENw3qAU3bWnbdmPqA8JhHiCMj31TZROwUOToBAprzseYeBm9FHQYsMRMih+HK8bAyKywofkXvWvxKQ893JaFK9GCzfvKFtgrijtFCOkA1UjaCYC8CCnvZuo1GJ9wpDjJHYzaqf+H0crlEBGYWAFUP+SXh8HHLZdFheNV+We/M2qpXBJIE4TWKcuyuurtal61DH2uQ3anKiaHASjqDvL+dLnwANF6VnL1/J6kmsGjyfl4VNcMWwlUyuRLix8k/wCNtlSmHn9GJu4okHkkNVKLymlSLdcgcBMS9vSsRf06AAZtatVyvNQXc8nbmeDONYszZclTqoCkdjvqeZNDlyxx2+m42rNYkF3+lEc8YreMpnhuiLz768++6bDiITVsTi0v3dDbPicOYPCQbsNDini82kz1+9AHszmm0GsbBQIPeWENhigrG7hsOSy6hWsiCoXcAWfNIb2M6Ee3QVKGdGzZrNxm656qzrDgTmUbMYnbyjFCxxAwi7ydZRAts06EZPmqHmSESG7Ze5nmgO9YLXw4vQeknJVfKQTLS1GnQYKNA9QHW3FjlU6BCYQV5agivWulrBLkBy7iYeUeneIlR0XHtkQ4ZMLoBrNmjhHlZ+AKKkUtrH1BzWn42seRsWyZF1N0tEneKlSIfMS7ELqeFMBr782elvtBmYIZlgCxfjFJputysWADjHP2avGAR9hMDopYlAQjnDW2viLg9WsBKrSUmkat6AGX8EfbYNt9oXL656vcHXX/9uxDHDxGW337/bQIwYEBEzma7tvLEnrTCWGDwyBE0bM2fi2Ph7glskb3Fa8qfz+lVt9VZMwpE3qbfFcqHkrPFLhtD5/L5WfrlqtsozCUldlbijMkyLoEWrIasA18aRgvwPsWHzxjUqUaQYX4xGRbZtSKmI2RcbjYpa2OSEHclxOg2nxma9cmn4OJovXaezqoy25nVbPHbDRH9bWD8rlLFmMTznQWdFS67k0Fm+SCe+h37PTtYYWHlcFjneFg+UkPO5+J8A57QkKGJkR6niP04chkS6i1Mp0VmiEkE/BD+mtNBjOKHW4JyShDebJKpDe/PkLEtG2CKHxDRNyDojHFvZ1nLguZxsyBIKAS/HN9dj4wXf7nZ3tdVNySe7cxpO9/Vn4x/+QOR6rYTvAFTREadOiqdVHYvly9e/aHfb2pD47fGlIMIdGqW0A4TNLbIkoRdcJCSYsMnK4wdWrZQWumy0uY/joqhZJT6EprPRrFxrFkz0VNQFoCVas+jm8jmWckJONj7WNAUbY6ZQi7wZSWT8YL8q3d+mH3EDqkQope1Y+2WIY0pSfegIUNlFzKgo64aop+TkEQK1SPIiaAwcKKqGoXKmhcE+J7rUivzFYH60j9Aoo2woKUpslGVRJjw5FaBx6GSlOFEq3+BvyAmVKqkrQZ3aJRO8rn/8yfPZVSRHa4l/KaPSQudZo3JhhvnsNWegolrh56BM42tYBYlSrK7jPWOZSQoXfNYb35szjhE2OTcdERyFCoiXP9uXkBm8MC9tN9Cs5Vr92S9eDgYXuH52Oi2MJaP7u6psm0pj5W4V2xUe9VSuF5cjop4GEzxIwiWLqpzMcze//KJ3/ebO7GrcqQMaydRYs6Ged5RGB166xWVwKmt5OLntXgwWswmd38NGVJR4zwTtNnFHqUouBUqlsr9MNGaaN4iZbmAyZ6NsBRqV/SrdQSU1AY0KCMZMZTQq4gs1cIBhtaKObm0R0Lr4ZdtB0d8Y9mJwbX4d1gRtWStcPovYsWJFYo9lv1hel/GRR4EoF+d31+/nvQFfCBayzQ8bovshSNemSfuEsAVPv6EhVKmiQ9Es8Ak/fhbqUWcUT5y4owjTblQqlrl0OcV/KidiQKHz0sNR44gW5tRqolbIsXSqi1swqNp6sqGIFV+i7sP99FGO3OlkLsDZ8ue9afd6c++le/PGMcoTA9bQWxWQtU7n8vmz/qAfaH4yLgibTGwcPIZVvAnFu+kLYrWK+FrRHD+XagWeIJs2Kh3BQDzVsGZxxOJkOKvWmwohUc1CDNaLjGWidFELXdcVeNr6oF1DJL5oVJiPIEqLgC8LhdzjzoWm9XRe8DpzgbPqD6odJShY5KAjcVn8uNHJT1M+2t8j2sOywxJFe9Bz+LUpsRuKZLyNZT7lkVqkFSImUlG3UvHKVdUWi1SV0p56ONxyYXX/7h0fGmhXdHWUEIlzzUcViwRVp9pw2NaF3iUkEEbIn3PwhhgI6FgSEW11d/fIWEbIBrAwhuMNYShqPlG/H0dFOUktNfxMOsGqkRj7i8SpR8Uw2hY17Gs5HCTRq4DMCcMg37t89nh7Uy8kB7ABmBGGdESS3mzo3H7rrTg7iBUb2EOYiK1cYUVBIkYs5rhio1QIBzpsVOUmnCeDaOQScmBmmLddhT5VMJKNp9V2tzAe6jJclVO3+89Gj0OWmhB+FCdRqMyNMoxfsU6pUkVzpdgjk2oL0pAvfGiNRrUuVGulaoUAs3i+1BuO1bMzihOQrMmJ1eGUshFjkWGw22KXwqHf4IkVXSvMgN8qMpw3Cnwwr2Xfe21dHD3cMRYPBjjlbExZ4tftryTbh7oYeFGnjK1KzsKTXlYpN2sS0kusjtsXA3c0gVaEMehXkSEk+l7uKUEeYR/6OGyV3lrCgIyiwTsmC3NT5gie5WxantxK0zNjuS59mW0FDnFVfNDj+1nsW1HoqmaZ6YZAAiV/NLweDQl5ydL/B95sOHj+/B37Qkd34PfgLaud/uDqWbffY/1IRqfwUqFSWSKdoUq+Gc2xThg/mKRpC83LDWcIolwmCl4I72n/0qrRPZJnqQyVvVLGODqe+FMWeBWmqlkQq4/IxOKo9UHk0Hq4s39wV3oVPmZ1bvgfjVxTzvVLI3Ihe2w2ZHzDDnkuyFE4iAQDJ0YlKkKi5ItHl12jsiJja2gCjRY+4h74UchHQMhZBCpUZ8zIDzL0HC6bR9lxKIaH5rfVHX5z/Dk2CCn02jlJJqI0BUNE+pjL2N1XuBoz/hLbmmWdGj4NxggRBccUFZ2leKWqFYPUw8OQMDoMWJz9zOegy8iN6yn7bFereqXc4qvqgCsgVoZ5UUWVWqEtJ32of4y5psJip9N+fBw93D+gdlz1g7HmAFwOz1rsr2d3fqvsQAYLbhkASqvS6H7sdOuluWpYRQ5SXE4l1H9GKfsK3izdyarTnXNAIb7MxB31vcf7u/FkzPYxlW3pF2a9b4l7jSz/5WShrUSmbRQyPNNlVCUKldNo9zqNVpMAQwzZHhG1w1WYTZmUO6VKhFkvo1Kl5N1KVh3r+br8vpixSrZVBF26WCviZ1WvEsGBo30WFxyNEp7B561nxUXcCUy1uzOOCYBiKBO3Kr5LZJmPGHJFugPrWXydgG7ioApXUAo2XBIfLFk9JOJJu9Xks5qjqKQf4svM5CbKEwYmMZNKBdJZlnQ6WctnfZRdD7TOwme1QxziZBMEDbkoYODDsbps1o9QPpYSOktU5VqDrSwqPDE1CzlCVzfjbhX0sJveTsdGGAas30Wx3W6GMz9dffrJ3dsq/Hz2CwIwEFpW2IjOBAJII3OhpBj5IoUL/RW0oc5bLVihjqpWDFNcZ8bvcHD0SV30l6FORfBwIIklVM2ai5o1IzYpeWCIVbOoje0BiQU3c03Sa6td8TLNfIUShnHD1Fiq159kL6pasBjq+ZaGb2f0ggemyhXSovqoCBJJVHneFoqyl1r36j3R/Effo2DJxLx9WZo1GTIt8dsZD3iCa0/Hrige1MLAFE3Zew9u0Twiqrn6HhkpKNkPvTiia3B1hY+fylb+4mxlw0SEHv/9d39kwOKGc6kQR9Q1ZmFG/thInQRZR8TwDegbYgOqZeAJX+X7S6+4ublmtGXIZRK6v71DwcqOFKFtdBZ5gBijV9GGpWVhvh6sV7cmOqsiX1lXGetE3xaqZpNRqVabiwHxMAlRYDJzENW92a5MhsykLPXOpy6xZzwaRBZqN76o+TgnuUALVQwblXyD0htZA241B61W0yy2gicBOEzvSzYH7q3oOCajY10Xl1frMr95xIHzP8pNHLJERWcaYBXo+v37/sUFOsp8OZ964271+Q6qCjgP+J2ikQQUFiRQtCp/joqDUkVfaDTE7Bvv19urxgEMdsNtCwMKFoTgkcYLBuEVnkNoDehPZh0eftLSn0moL+ADI1ZJBDN5iR4GL8uoWyZz8FakhfO5pdtW2s0G4F3cBrACbluzTFWeCW2LlVa84B/f/TSq1tlsSPyszIq30Tj2CUfQZ69e7ZaGCTrjIrCo0fySB+0KnQs03797J3wzhit+Ua2edK7cRS8zhYZFPTbdgiYR6TtVAqPVYWSqlldspp1wsIYjugjNhCgu2XYZWvKi+bk3w3EsbfNo1/4ARSiezYvInd0xxfogy3l0hsjLc94y3agXPJsNgRs1Tx5UjfJEBRiYuwhXSDVNdBDYAzJ/gM6j2NDJqYseYmuErtPVqV1Sga9dbvfV+VO054SSy9+tPqTjYqTWhKYMy0ZybW4zX26ypd1huPrkyy/4MBYXLPZXHXgRxAHxY+tTbb2o1YKv80wYYqNSJsiv6o5bHNmU1myb5xx3QMKyQkaGUaxrGNOogtkpR9EzZJGKJGo/G9pkrHIGZbytZSejaaQVe7nGOKNSkTwv6svSwFtyTuL2nJofD1aY/AVLTmUOz0Er4hxcn+UvHIxyX6CpGhXDohwni4tDt9nrtDiljgBp6HC5IT1tRki6FR1rs68woz4OphJHLBOvn2zyTbpePdzc+H6v4BCJstB5tlm5iKoaKowZkBNf6QBljFXBCiBaHSuA6Ph2HEssKJK5/aUHAjoG2vzGJ3LNatbjw2RLLQpz8KXIoUE5vmS0gLGmm3pDAMFfqED1EIOoqFkOWhdu33RtNMNoTqNmsdkQp0Zxz+IEl9HN+9H9fRNnNzmw6OcUGMYvLnDAU4exCLThMCQYJhPPgIHhCc0QUS7lvN9ilgrfU6hZRC4psLwwnLqVWoO4G0RwTzFfCd4MCamXtWChe6e1NeuxWp64tSgrajajXYKhPhX2kS+QW9Qsmlg3G/KdT115YFnDDYhlF0nwwcpTwceQRz/s7DDEo3aJD4DbE7X3LuZQR3zqQHB5QIeMzICKRpZQ70JMSwkrSXufmM6aICjxiohEmD4OZQubjZxGnVLjxbxc3NXPttUpqmEcMQudcpuIUCTRZDiMKooQ49ysnRdGwzHRIpg1jNEoAnfnlmmDhslPu/Ar6RIzQrPoPGvP5neV1tq/n9f7NfeHJe4KZJ94Lluc6qhDOpjiZSXeISf138qadUViny/EJKtgkxCzafBHHSnwFMaFntCT9Q72Kdxq2tgjY7O7LRW9sb01mvgB7pEtoo/i854eHyvAosgyawkq6XaB6xU416scqnO/Ki+a5ZgeII0Zsm6vSAZVkJ9BOVwB5KRR2QNIJE8WT7HbpnAD4HHBkXojc6oMDhEdhbfGgoUxkqLxsloLdqaUN8lYADOjAIYrD/PbAsNbpelIv8aaBaU7ahaKC+qXUbNEmV3MHu6mDw9Op0v8dLUhJVf/9KnMuBgzmGgRZryw0KpIGY3G+Zeznx5HqQGs2JUSv0wXpoHg/LLMNghsyUunVIsF94+XyvHM5lQ+pvzZsFRrrd1jImDJN1g4wmCXTRRH3mNfBR3EGv9MbtQgpEYTBAm6ciB7cBbAstmQYtjMuNSiuQsFxqrKwSs0711j1W4RUk4aoBMhRhNhTbZ+F82cfR9Tp2AKQsZlmc68yGM2kLO8zRhizgJfgUj/Fo/w8mJJhEhRq2XQz+19ssEkYWTevDzxDjmjBejR8ITpn8H1UIB8LqLTcJyZ+3jHt7SdROiB0pvC1j2mY8GvUmFeXRVcbPt+i02LpY23ciKehEYdD4foCsw6s+kMZDiU2jd9LzH/kYlmBGQ6LNc5TRaXYkPcWsMrrVoX9ftv2e1eXN4V64PyrLooL4QNfp2kIuqVmVNlkWfhLmt8Xp5w0WrYZ8b+urs7WBuwYEb7MrCx6rciL1527SaLfkajIsLywfMdJ1UjAAAgAElEQVTzCcieWhQdi/hYe3UsZHkxZLtinCPMChNCvLv+rOmiee9is3fwp7MwdjMuo1oxUiHsCHyngc/6gWyM1q21ipolkhFbmEPBYkTMcJ8TW0I+DSuQu30h3EBNZBUaFwu8vRr12rpeQ03h0SwwRFFHtMLNhrL5seCNHmajxzrnBfb6DOZbWT/sAyTQWFiwmbyQ/49NuxImo2Btr7LhPVdqllZjmSFo02VjVayvivhgPKKJxYX5OHZiTWdXqJu2hTBRaQpr0qNvBHNC4UR2jYTv5a9RwuSG84zUdiUPJloEv0+tZlGFur0je1EveGZh5mLeqlRIPzvkeloFixH8UIQUefl+MFSpNgMQLoSe30Tq4AJvE1/9SSSaqU7GWS5FWOmlWRmPCVb0cVKx9NzRwyOnq/KRagRRVN5DUdWFwnKjvXLHdrUijWDT/vLSMiqxugWOmM585RGhoMRilVee1zm4Pba9fqckDbCYjO7eF4ihKqqjaO+rPIG4yLbfiMWxLs66yPkKcEiM5ERDLqzGHOoVtPiqtq46lflkXmtW8Ycq+sXlY6F11fJ/cgm8VCCKwEL6uaiefEKVVv50if1wh4jDEpjj+XbTnTtaMlj1Y16BJFxR2o1mq9nstLE16hh3WAWR3GltGsmSentKWQs0VccCejg9IFeVidkOa4uZG2SjPecwnfXt9XV3MOi0N3vIU8YkKYYMyR5Ao1cxW1MJkUmauPdUYHxY5XZFGU+IIwvx+KnHhd8YlmiuqKVKxNeIsLEcJNd1yDKutACykbMIqBI6i9AefCJKUDPULNSuxW5Mh0DNYpMMm4/5qJxPxncTvOCb7X4fc0IGN57oleWt6lX4mD1RRaeB5Zt2q+8z/TWuKjNncfn84s0374uV5ezRd1z097NM8bKYgJQVVqlmpGyPV+uAhUZQSTC+CTOsEkbj7zJHLTU6BEEsor2b5ywp2ltRszomRi5riDmNVYm1n4X7iZAPSDxUndoFjcILX3bTP9oUJdl2ZpnJzcWNxZm3om5tEjbTgM2T6yYyf0TzJw+60Rz77sHv8fq61W3j5Mo9C4Xqw7SvXPDejMI+ZpFmi/3S5eHcL+ECE7kMN1BG2AAlsXLNsXM1qOEQWn86qSasKgaFxT7UwlsAL49lg2ObIRU9Zo8BS8qqjjUZDonthQOJKBX1nH0k2k4GDXa7Y6Nisjb6MXoVCt9qXMJ0T1YqCnC1f4grXWcj/Kx90XEnLhYt73F+8avu9IcJ+murV1+9kyqEJ4xSTEw+u+l3gFhouW/wgbt/HBLEnJhYy1K51mqy14+VPzZ5MZxNZhNqadZbueHly7hLfma5M9Bp4O/qWOgf1Rcl792iEq4JpiGi3ZH4o8P7W1SmQb+HVGqH1V8tyD2TgawAFrx1db54/P/Je/Nux3Ej0VMitVDbXXPPclXZ7na7572ef+b7f4U+c97Mcbfdbtvlyu3u2iXu8wuApChuopabWX7DyroisQQCQAAIBAIRKHKJfBdviSLzK4NeGc56gkIVu1X4G3xRQz3MeGp2iLJRKGMkHRIxV8icSKJoJl8CK13NfoBbAzgwky1QHlo+BKzkjFBOCXEA2OLe1mK1xoG0soe6NV7kOBOv40hJMZJhmP56Of68RKtvcHYBNabrlS/lmUL0jv2XuW/Htkam1m2jPf3vdeed8fT08Pb3L/7+l4+9vtXxkJAfof+eEAf0w6xjtH27QgErg9HmkyEG/ahvrjEle5lNAt6I1kpavKDstRWX+oCW+FKrQfvkbFayKEO3sBP6pBj1LD4RbkH8KUTqvtZcPOqCS6ejFXRzpAN5pxoMGP3wCfY8NBZ/MynrfwLzsPrXL+KYlFRWd14CBGx3VpkGYa6BsBX5JVmf50Ua/5CCkMA83T28ePOK7qZj2V7X0XanPWiTtb368Phf3139izr59oxOFxekFtob4o4Qo484sYCp4qiBlWPDkMi4YtVoGovHOxylFTaHmIs0UVcLMHrA2O72TTzM1DwQBzGrxb+tQwqtyAJQFgAYPne1bKW14RQZSx8jlm+j+i9IIZoKtmVUGlXgM9/kVzZOANtdc3Y7v76+ZD5jVmq6jeUKfx4+NwgRIM3N2HALPEHYtkXGdNh6vdVmwOidjZrWq1ejgbR2So9nZa+eVp8tFJdPzmBtofBVPzI8Fm3IWOy8Nr0vWUtOhWjRXBw2O8vZnetev7hCI1rmr5ip0ttfxjasVOfCMPqNoWexQRAW59AHSsBoD4MBAgMGJywUJ2wWbpZTd3qoiLoBEhUDDkKDYYiBzV/9+N14vvxy95iZJNN9vRM71VABBLIzZSYBNUeUJS6VqIjr9pF4X1/iJsFeTDNiDxZiLqmJNBgH0iYOhe3p3ZfZU0dfNmR4ZSA/66duKy3HetaC9gVOnxbKgFDQdD567vkKpvb9j29u//4gkDXhQRpCgHWIUMgoyrdNtKhruvMnidvzEWVRlQW65ai9MDezNNM6UbDi3JYpTJMEsgTwnITNorbA0XWmxzMcCyFaC54VCvKrrwWfoPqMDBYI0Qqgzgt/eShVpiIlreFvgsTxLxr48XBOAgFk0lUGJpVVJMGUd9Rz+HJKYx+eeQfOKKjal8jzu9SaGV/4n6LOFQqATxJOSS0Eyowq+9XHx8fz0TlbexgL8/ULqONPf/7jry7PRljCLHoAQjA3qddeo2ynQwEo04BHd9AKJ2Fv0F4Lg7XHI9QJrmIdtQ2rhzFMduEEMuSoXduyVrOZEaxbFmaTYmaJhdpu+PMt27CFRRaSPjgbAdZBA9teeGvZLRGyWqw46aHhOqFl9rzEsmjba4+2r2gVFlQzEG7A48rkCEnk9vRn+FjKagVbvGZNmNXJno0Yq4uNYtM8FkHuXdj7oeGeBeGMqbYYAl2QREDdGO/wvdX97d1gOGTa5fRrNp3SdnDgvY6JaSjmvLCFIjd9J+Of7IWDIoFZ8UJGzmbgPOTynRiuAlgzYbNYH5Ack13Yrw2OLFStdm/U8hdXb66vX754+8784bt3P334dHP3iDxMF8dN0opy01GCA+bT8CZUO0s6u353RSjg9q46vV6/977P1+Txfj2biKuB1ENZ2rOhvmzIbY75w/1XdrmjhzlIMW+nUPtFvLI9g8wKUUFe3ukb0w9LMUvx5mr8X/iWUgyxmpAVEZIvP/0QI/BUqmI6ZdYDEFRYXG4lHWnVdZnPMI5awqAn9wc7vbpmO/SSqtks+muvnmKi41ENEp0dFdZLB9Ii2mTaAbbgT8xggbHGmxfOF8BMP3tVvqKqv8woXWX+Jv1Bf/NQ9yMRTs3qR0LKZi8YEQTti6/Cjyn36eb29a++kwbA0nQbg2TRSR9kEDFV0QhWWilyA4NDFDlFQTw1fZji5+wMJqsvGxdGI2wGfEYW4/gbSLJ6MeEbJm3Mexyz+SVNExMEGDsYtL1xiEuZELPMTRTaPFyxgNMmackbbmtf//g9o5d43Y3k4YKRHP5DzQFndueO13ZXM2O92YcL83dop4MVdjmbLTF/37E7ZkduJq7mjhEIDv7Kt0ZWsEaLRZBnLe224huFJVXYK5ibPbOHh8vXr/UpFkVDvpza2Evv6ryMj92rhO3ENbpgO8OJv9I8FovQ8u/e+e96k7+suVQQl7RFJvmxjMYQLbTidqHIG4PzgdgZSVcLCk7ojOzSv4fRhuSS//0A7XgPO1JwHiAJQJYruslZ28Jm9RgJSYGiFPzmVz/ocnWNcE7wr7/77fewWT9//Hx7D4CS61xxA2z9CmQZbukabiXY/UEdYNES+QSSipdv37vXrx7vvqwmTxnVHDBXlw3RjhexcTPw15On1XTcHbLzOsNQ1e7yjkiheVBwoMpHgHmWrNAABteLQfcCbxlets8nn2dWr3f2/WjxdzFDoBNTHV42dKjDJUzHFIOM8qIE6m/pb2ynLm0lylTKVYIDoqLC6ZqoxECMVX4+uF1i9JWwWWhN6ffCZARScdZovUwzi2eEVWW5knDaKNGC57Cb7GwXktiyl6MYLI0xf3l0AYoiZQFiZaJ4qlFW8AnDaTJKPCHAalBUVgsVda2pclLr6owHxaJtI+ZndPvGzXwQpBNkSk/gihtTIxbA7nK5mM1GykQyuyvkWLK6xAMYlkSs4ohVUeFPaC4OGoZo+XS7nyaLpTljbDw9TBh7eACkDJSWyFKGL2D1wx5d1psiBkvyehg0wp5QZ22sLTz79Q0HeczADGZsxSJyLSuCcFz9sETpBBQBjVEozB+bBh1IRXq+ZXeG84c7FNZ1YOk0o6N3/UUDDevMPr7S1OM3AzwyXxhilcdZONbb/vLWSWQsgggtHOOzC/bueFzoTB+fLl5c0Tpzb9zouty695xAC0h25/9HS5HmsdqN1vyDffXri+mfpnoKlkWnvDuT8Uh3yFqnGPF0A3jYeugzE9KVPsBJDzihbLnjsN+TxgNeDrZDkb3oKgEIuhQ2i1GlyCEDGqLNhKBi95sfv/PPFtM7u72tKJ1Juf0pbUHpeYDbyaq/QBLLxFvH+nyig8kVwsXKYeroin/SNBCmgtRlQ+Vy51653OGyIRKFdNITvMdF474AaGXC+BMUdASIzlXDHDTcWzZeW3IsSMDoh40n6Nc4u+rf39z/67/9y/TztOWlVnm4fKETyajoqpzEtzGEx8WxwXZYra/0eYbcEy96YGI1I8u2trsng6XhydLii7tldBOpV5p5kuZQszfhOlkRCnuEoQbAQ0GwWawCcF3pEZoBlGr6TEzuU69qGlcdCVwKAOlcWlG0Okb3Pg+wIoTlmQpXJDgmKl9rQnRXHQO2Zl4pvWbSnclkYO1MlEmQ4qiiCTaTIPoEy/HtHRYm6XeOJpj6V4kHaMVUJdmE8V/bb968Qocaa4rdTt/F1Hbbf/X6xc3NLU0L1Q7OLbzmJFnyL5QCVI7tEIOVUXDoNNt9s+FhYgjPJ8bgYvDweWy5zMlVkzICJAMdsFbYH4rYhuZPEzx8IeIljY8O95eYo/K7yX6ynqCirB/8ZYgbHM9lQEXVMnHhqKCHDhtIRyx6bmZV0USrO0HmGzETQk253e3Yq8WSrpnMnhpj1CHwaF9bEToDMP8perJlVc+n/hohfqP51AyvGyYWHMKF2Bt8MB65zXl82UEXwsDGVTD43lg/OJ2lSFyEuxIZ5348FmfTnNTCVyUCJzX/YKJJRlvEZhlNez73z88J2on83Jm1LOP6+177ZmfaJEEkfjtmPoIDYDgxPyRA9QvXLFkBYb6+jFeIq676nQFakNslxWwWUkKpsrdcPC4WLcuCzUJUk0mcgV//M5nv9KJWuLTVh/YcKRnv7oPX6oaXv7t8/NMkfTNaVE5REPVQ2w3ZpzUX5u3trXXd9W7knDqaKNSmgQQKN5qtrlQV1sd3SubkyjGt7g9KCogWldrCNsEahkYIXrsOARcCIRBuhAcIsAS6RB1IP1J6Wa7DwmFveBC1YAse4GVa8GXLkywtPODK3zSuad7wMMxOngskadZTgdW1TrqZtuNJekiXdcLidqKtlNzpgmhIxC878x2UID2pSYHxSKwBDP3VycPT9euXivC8xXxBu+l8yK6gPxwM8+BqcDAc/PDjd9qnstXuo00+xdbD+0svXD1NwuFgiOGG5VPJYFYQde8gYXLt8mGD57RztNG9zqDjz4PR6Gw2nQVPGzoBO6YkuEGxnsA4UHUVh2x2018Ylxcy1HVBSe3ZYSfOGzgGHT9OENPi9FqO7OInrnT8vc+v6YCLsQyXespi9ryyIrvhGLNxP3lc8E/Do4Uh16Sd01E13vXIloSqqwVx+B806szWdavbwAwEhpX6Z897FlMDz2OT0D7hEDNeDXcaYDlsU20qjm3DRvjU8F8F5k0znN5PDFxB7roppXunGq1Wl5t+5vouXE197MNuEguPVSp3BFOv4xpOy2k43UZkIpLk3PnAOafDriNgxxCVD7umdJXQy4Id4UKjf//xQ//8YrSLzTrvXc6eZstwtpeFJNoq3XSbGtV+AwKqk6Lyv/2wcyAAUQfOjFCsXE6d7sK56rdHlqiypdOyneefrEvqnFS53Pk863T7Z+fYZ8uM1nTGfd+1BP1rzvM1MaTLe+1OcBe6Q6//2nJuNsd2ygUEziDwDCtbRNMz16uV1bVEslW8t9Yzh/SqfivDgdXVlN1BgSSFLAnzVpg9Mb5AKdygKUyDO1Qd3u0ddVuZmujDJaqjOS1enpVLBnjaFjzLXKa4aL4GMx4IlL9UVTe3Rk6/F7ZLWSBwviZpapzLkKkOl2qrXkmSgTlVhktIQtIvJD6gQdIQ9n5XPbJ3rsoM8aSVbNjUGquW2cp8VZG0zPzxEYNJzKGqCcPlYgmbxV+YKgiegwzk/y/OepevXugdBuC6Zq/bZ18zGD+ObW9t2i3Ga7fdmzcf1YS+VaKgy3/Yg+i0UOLi6GolO5PiYwsu5SFwWjyuL96cL5+WXEfs9FrrqQsvpTkq/L2Z/VYw4zZ9K9wWfqPbzpKGEFgTQ4IEhM3DEMLOO/8oGq3PbWc1gg9p+Jvk2uuF2uH1jXGYz5XqrU2kKofEtYoT4OrRXV2IJIrPk4fH9puWNxdjXQYOyRBRx6elm4KPeyuo3nEAK3KzvKybdsuXY+LGqmD8sm5of4W381XQREK5xcVWQK6IanrY2eRQGZ/l7UZmLtGUXTTcWBpbL5vLD45xGXhPsIPRgkSOtbXmKr4Bm4XGVbjFZnmew+TNyTz9hVX01XQyuLgcjEbQYSGGnOD/cP3jhy8fGuGUAbXz0fjCAO116zADlnKYFjizz9A2RIhNC+gX3skXmazks/3G55n7sHAve60zbg1s3+dQw87BjKa+bCj2ge/vFk9PPVzujM7yDFwGk52foKRPrDKL5c6MXyMBGu7KxOj082z0XQ9+c9MpbYTcIRYJA6iIbZ+SCmFaH32HSsTUNMDMUESQUUZgljl4rgQtTHO8pcW5YWFaqAsBk0Q1DQ6LC9NUB8JUaVKnJnSZqo/k4J3w/KFhNbQDYikR2QGza6IFn/APSAFEGEsKnjRyBxSTZKHCSQFJ4C/khcpqJlfjQ61ZRPfClizfqi7x+nhg+Yo9ifPq4ZStCmMgGxRn2P3LGP3015/agyHcz3Q85bCJS7kcBF4zR6LCGm9Gkf1wKQPS5+Y2f7tW++7jk7vyu5dsYWUtwglLswPr4nEISGNHDa6aHeSUzwWu+5qX1+dIuzC5bi/mnZxNLCrLZg6BK9Y7mxZrqN/ptr2hhw80fy228V22/A2ntTZlSd1+mJXubu9/+0+/4eqgphCIBL6bP4vF8vbLQ0IwXPFXCsdRfr+HNSmv76CtX92SMuISdme78MbA7e+YErcyaCHWVlDykS5Cmq4e6bZDdNZaTleu1nd7hkfXJBD/QV42FRdyDiw46c+MeyRJxeQNfdw3fCsMFiu/WmRXvErkmsWde77pYF8jF6MCpCOgUBEdZBJIH/VCZ+6PUna5WDLb54b3OehxNVCs4HKWu8YzZTKmoE3Px8waVRT7IYvH+8VkDJs1VMYSM0Xwybi7Hl09zqb5qHyIJhthj2pWPg9ChQAn0XBPksjIQquM1YfrskmoenGCxs3Ce1i6F73WhTiA3+IXgUYzcE+dKnNuiGxPXO5MxriFGJwd5XJHac4JBsnLNl7f8itaq+WYmUV9IcxTxBtxnTn07ZDl3Gugh+G3r5Rjq6Vncc9556PokFGjfrM0iYEGb3GIgQZt2orC6Sxm7EIs5FaTKhAD7onaa2HKdCCoJus4wyGZkNNpeBfq4tKU2GgU3axTcTiZUvQn8JFg8Q6bpbXg0VwSVzY8hRn+IQKZKWjBMlRpWRLwJAlIfEwrAzAB9bVeDiwxgyo0DAVonEshEpEdXPvVks2VO58yYEZd86J3ttldpcBwPRu/9Mif7py/hzOrZbW9YCZsFV2JGcW1jQzIGrYQvXIHHoxEnsOTdKIep2rlYrvCesPlPlS+MAoqhbBsIaPqiTEqVk2kCIwyThJXj3Ybo+wdDjJFMMMD+9Xo+MFDQMnynXo6ZnN2f/dfvv+73/+OKsjKrDitDx8+/dcf/wz9IKXjiFO0zeR8cNOcVMHsYr1BFrq4sVNw49fTEhHdSvPozuUlLkR6MunxJLDOC7WQ6wH9xnqJaYCuFwjX63O/s4nnIStdRB1oxWk2aBbH7xuaxoqW36q433xx/frm7q6atm3Lm7irl3bP7lQnrIVaE54U4ULP4Ayy5AFLsI46Lk5DuzTNXiO4a2G7Nw5sYEHec3w2CjoE6sK+PvM2owUKTLFZYm8KGqQDMfixuL+D4RheXnF8lm4fDYTcKWJJiip4oTEpInBFHlAQXTsILoqBk0kuszFzspwPyhlkJpZPL2zeL/2n5fLMal0NGHUZHFg1lWdDYbNosmA9HSPD6/QH2IJPJOV5sBUh+nwQ7mqLiioyfK0o8AmHbnCO5WIx4bq6aQ64AaMmGmKauH+c0lx+OMLFhscR/+AC9QuzjoFlXQNdX0WTBEQrAYFQlO8VazkX9dimOTYG3BulFrASNxLdGuIrmWCjm917cEtUAQ6MemkGrowb2+B93Bt6IzywdKhnnUAYnkGGJqjgeDKJj/9kCFGZBE7SATqElgWZEzZobkJMSn62F6bg1BoOQZet3Jk5VI+WPFoFc1g+0REhZVdFEpCI9B/vn968e9VqtMfOhCuD1qiNgU7fcdsXwk5h8cludD3b22nVkN4FLD45grZ3dq5uB3LWwA5uLrZ1wiErGM43XHwiO3O73e/0z3rrJxvVbXIh87L63Wmw6hQdCcFjrcePf/7PP/3T738HUcEU/scf/nh7cyfTDS3I5TqEYD5m6LdGUIDt7pHJlows6V5L6n76l6jX5edgjiqPVbAKMWy2nM3hEqSmSt4+fNuZfnCszsHyLGkSnjLKzKNRHRJVXSWqgAlz4C1868Lyn0qZHRb5FceHTy2313oZmpwYgmv+qTl2QAYl96aPIvn19L+f0nhuwyRhpkFYOkVw0hUGLfUg0F2HGJqLghREZnD4FeU0eo3YKilF2JUgYrMYG7Pbm3mnc3Z5jUn0FETseJW2RjoZ77rb4De63Hg49GHWQlKBQnoGAPdUmNFk3ytyjNIGlusIa3+8Xp51Tdisbk5dGok3/4S5xKZD03CX84fFHHHf8Pw8X2gGB/2ZNCA8HyH6b2HKbxUIuXgrL1yaomSFMeb0wT1WyhBHrg3/yl5xH7Nl9kZt97YxMLcJqQbqaihtxKtiw58ptWzVifmwPGByxMrrykBDES9GmojBajbpqjwQQugXmCrdO3TKwas59dJ5GTiAZX+ialpY5gkCKYsitpaHE0CVC8tf73yQRqexaHTN1YL/admpkzTI0UBKJh2GQGo+YnJ6VnI5uhYbAGjpOpwg4h6HDVhn7q1wEYPUqWf1z73+eL1eoZDebnYXRFQ+1FfO7dSwMZF95Q4wAidsD02sw2N/z18FwZMzeNlbxDrM2F5wZk7FPTzwxAX1n//wn2dXV3/9858Z2Wfol4rbnkhVMY8d0nk20uvQuXh3+XD3ZJXccYRuIVQ9ZeSB7AhJZRMmIOp1WajLJ8EdIPPR9sw+v768/9Qwm22cIpIAmZb41Wuymdl7ytbw0+tnmnTzpReFyChIVV3qGlW9KHUmbHIzefnbV7cPNzC+mSj9iYEea9FDS4+qPjT9Ch6rMHsmEBsNTK7GtGX9tv2ozDRkEqQ+pRIwBNCyBIoqUgPuFpXBVBpaP2zMRRgfBaZqrrisIe6U5ezcWydNFLNZ6vjMdSY3n2fd7gg2qx+xOD6XHGs+QmcytaLmVTNHUTLZDXW62eMqrI9CuQzkYpZ2GxBNNbGDib0atg3YrH7OjZWutVqRqbi43HnC11NXLhsi6k4aZxtq9kufDP4SGawgOOtw60X1xzbWDKgODlfNxuxpbl213YUfTsxBe4dJ9G0Y6S9h9IXfFUdl3B8smYpLliYNiLM/aFs/ZbtukugDQlRksZZOByV8D9SeLOtJYATuuJ+EzaI43lOD6Ti4Rbm3h3FRil9UGC2+mWXU4vK/I0eVafKIipmFiVDbgIhsD6EMslaOikzZz/QJizL+8qVzMXJXBtcGjcbT65dv6dxHf8XSfsYEGbT9mBMqw4EFRaLYJ7l+B1sM+cfFMbuxvvVQNMa6AfJz4wVmO+NBzynhA3NQ1RBgBNrzye1sPMQFHf92PewsxX487JPnjV6cuZ/xpHyCJ70wgH1hv8tcdkIey2EtbGFS3lm62vUPOOC2p3tmBguRz52gVnuBYKpPuJC9MqrE4To0Wk0fNpxz4ZIHNUEdU8ZjFVFYMayw62Nxo292bv9wv9PFISDgruLaiSn/BgbgEcAaDSzE98yuVB1vAT6/G9LNFNzt9S5fvFqvFpO7GwSrSayybiDSLBSVQscef/k47nbO3r7oNSzkPUmyOi+KEayTsDiNZMefc9zISSJsNPCOso5XWrkkbfLSnLvhfLzut2Cz2sOcvyyUbTgqpUmRZvE/FX/68mlq9d+8f5+AKHthcOnxxcpSluabhQsXLuSguJ+C9nKbbvfasO/9QWOodeGPQ1XYrGar7c/HhXCqR0Ry9kd7okBXCCERcWH/Ci6KSUab0aHxjxFWFZaVCUzYLMJPy8ClC6paXdLpar7TQJo6a6avTpbmYUkJ5Dw7ddgpe3W5v4RYWlImxRaMPWrGPvYFZY8rqyjNUDC0auJcPSRqAjlJMu6U2Kvpy+8uw3nbZV/qrIeDUafZm/tKTzA8f3UZWSgoK05vfRgbUAXb1XyyyCOhOHlQvCkDaeUbXQM/yvqhkfO58iE1k0lG6J/Tpla4HC9f/O7Nlw/zsq3bji5MFam7PI9VLuSUZrHYuHprb9jvmax8LbmYIxjZrf51c8LC1t06bMphUhKwo84luXSwUL3I/A4jfqSVd3+6T5kQqyxLFM5EjvUiNO7hl3ekzQVBPYAAACAASURBVEaTHrskLaxWoREkXEMtGtM8FqIc9h4B8qpriDo08GU5xdwsbsMbEHOFMg2XCGmc0dk51+im46fZwx2ahzFmTJuMEcT8SprluLNPtxMcxXLRJE6x61faQDFYtepSCI2Og91hTsvE+q4oeMiCKtPaXvCbS47LJo41c2CzRr0tAxwKYbTnxbOhI77wjE64vLu5efn6dQaBzKe0u5pgf4ESrEhGr9BTbJb0S/qBSNz75sio620mnbfwnbagw6CfwliIoiRcIpBg6VjQRjBSmFIraVEhGDBs8HWtHgo/tD8HU6z+SV8U5j1JoGazWGcZPvQ4JZ4EbALkxAwWiLLgJdD3eqGGDD/+JrmobTVrSeLDJtykiF/OC/TEo6vPX+pOf/PCdaF2yPFXKSmfsgpQumyPvkpZCJCwlBC6D3ezwdu254gSIoKroClSH26xZeulkdpQh0zKpOEsBhooHMCy5RdjDJsx4yzgEczQVuxCtoATfINdyKljm78hNUAZjLPOwvZM1UOVqzs+RoEaHdAHZALMQVnjguNf0FvP1tawg2AhbMu8I+w+J0QufviqTJTFAJ7rV4lxDmibRriGTyme5Qtxhcd6agaax9JHHdtdVJhJAmm6ntfb5x4oddL56D8U38POwLj7y+yqO+oY2ABBlQsCRvaWZU3SGKB6hLTBFytZrfPLq9H5xeTxYf50D78fJ9PK4J50Iw4DHG6IOnBlcWzVLzwmXEdqYq5KXBZHG6IxxhSXTgCtooMFrctRUWyjIZ2gzjt+Oz/N3M7cvey3zvvSYulcajgErCvjyeTVcMeejYz6fBCC1/u3NKhv+w5Cyj5DjIWaITLjvY24KT9zxjkO+IUx5XpF4QxWDY3Wi/mrBsb5CxOTRl8zRO92YOENab2aYicFEzmRkWct79Q8UCGEUwVqpoXimOVOy2bllrGjUa45v0MZmp9Ipi0yUrea2TWaiBOfz4b70S1RBUBXPz3dMH4Kq6/ODjagikl1E/+P8cZpp2HhMKfhjGcvXl1Y7VFLGVhvB4MzjBWxgIpaRqSlJJo/HJYrxp2XbhcL8LJbhb9i6icW7pN9f77mLAn+Q9BL3VLGo1/rWjzelN0ZzgOJQtrNsGeGEzjdgoLSuVD8klMdu2EvbFRnYIxL2AFqsAEF2ZckS8Pe/S5QAHsKYOvpGmlfuMRkvj+ejq9fXYOwPXP7511/DL+1tVLuxiyTYlP1TEThZ5SaRpJGO0lLFZazHchOUfNYH8xV2PGt1ckshtNHqkqKOugsqZH0GYb8+euI7NDCgWaEDmOBhS62ibWNY5wEd4oeHTZ92fqeWYXn8sXL0cXl5OF+OXkEQJxL2Cz2rXJP1MA9p9eqwWNxcQ93BRiGi4Hs/UtlYaBayr52OjNjHCkT3cpam6CYTlD/3Qm1TQfvomembToAnLlhJX7bQg5SSwHGBAlCpNFsVmnibxFBG+VP/WTaiEbEs4wKw+x4K654Fz1xixXFse+N8AFD5JbFaWK1O25kQ7Gk6TLNYmtiNQmbHXzmkJeBonXSvxqbBY+lFbuhzUK09wqMx/BemUoS0xbS3yWPGvUb7WBSyuiC6suzlEDaBNMW2vLEJuiX+papPmjCTlXL50ijKexUdaocEacqpBgONn1wQSM6sgoJMZi+RvEc3d7G6C2ryRCdCXLy0jI709WTZQ7+9uFvlxcXl2dX0BUbdAtNeEVgy8UKJ8i4MmSNZ2RizYEJlKjCgk0ORtIxLtskVqtSKi0EQiC83Ivvrz7/3zfdnBJJJgsSLPPMYKOwmi6aMCirRKoU4UiV+Q+6l8qf/kEOIMKMmoBJJwOwiZAEjhX5R4ptWjaauO5pmMYcM+LYGltidYzz29YoXHlOzyRQOOCoVjXLi5NpoU38VfWri0iaSo+IYyaNqsJycZrHGg7Mx7kLe5WLrx8gNeY/1TH0j65Qtpvgx6WCGIHn4mtcmhCKT0fE30VliuybrlP8WRLPjvz69Zuzq+vx/e16Nk44U4rAgpScqhttHIQi+apml+kCrCMkYA97geDx7pzJK1tKOJpyGw2Z9Ds/WdbFpsNqed5tXQ7aLO0AFymgMK7iCqkMQkKQiYY7zZ3tnrLMXydcjsiLOBVFSvSR+j0lygBk5tVnuPkqJuSUjyJkY8CdGxpZyxpRjkRJq9fbKOMzyDDgj2TTXoxDs4M0S0ZEbMjq4POxQiQLA6FJHs1mMcXxXpisZuCxwyZdjBav6RBaBJaCvzw6RONKY6Wz/G/8nuGoqDgtwLN3leMGjDJWTbP1YMtUUy/lEanYfiunfrK/kkWcS+vrps9llO3+hxx6gx43oXjhWis858pdroynYAWP4nBjD1ujaSwgp/6gP58tHu6fsF2KTBd9l/rCFFmlxvr4cRuPdBmF705D1HC5ArWzAz38gRhO4OOe2bSa4YoiRVDBP/x5GRyTcFCC3qjiWZoc02T6t7B0Fcjqawza3pRmSbFBufRKm6dqq5PkwE4LtmfACF0/1pW//vmnURcToxHwZMnhhbDVZMwVMDrEdqaujyHYVji0ncdmX8nzE5gVL3u2eCkkPeF+tZkEAQtaaOdcCG1liLcUw01E0rlUXjDe0QacBiK+4qCCrlaSCUnPqop4J5lIN8DjN2kQOe0DvlzKiuy8xbHQ28u37+2r6/ubj/iW0eswkdAJ1Czd3ewy9ET9a2svEuc/0S9baVbLDLDERoNSdj7ZrIRF+Eex6eBh0wFb8Fx+pPSWGK7bmkwyyOhPPUXrvyC0o8MKQTxPYJGMflOSHg4QyQnHBaDgdMo85GzKzr3BzSqOViKQXhWSLsSamCHNK1IzbqwO2wUu2Uww/2+lpFlg9I/CZsER7Sa4XOsVB8BPQL5JU0q/HM39FZeUCqWU1Nezv1aQL1HPwVBSQdm1UMt48ol/n62yh7YoikfokeIDSxZmZmtPnPqF6FMJwGKspfuMlmN7to2rGjFnx07aalgOxqvmdmeA/lmsjp6qLmMPUUowXXA67LpOr9dpuju5nlR+Me8o80Y6aOc7bJA9tdujdmNSkVEqzj01ZAmY5fTWYbPX8GGm2KB1u6L7gqKMjAvVIn7QuVQma+bTmusay/Orf37x93//UKisDfPn20Frc5C0Y3UAid5odHF1oeuOiW3H8b58/NIL/cLzU1ycTB8eLl+9cm2ZGKlox2rjNhGx487WK0hQTBEFCQuD1Lg45VpSWAqBWqQEh4za3vs6Ou8JRyWZ+ZelltZ5e23bLeyD5h5kPI1+sLizf/M/3z3N52SPJhxYJyRYaci5vJCWqGmqI8dcpATQv1dv3ravww//62dT2KnoETYrVCfmzZawWRiDr17J44x7/VIzVty8BMu1xUYDYqz4sGgvqDsSw5Qu3eDVqCWnJCI/s5iiq/OwZpGSNIncYscoqgZ3uliwijc+VUAV8jIL5QmvKltJHDdvA/cQhUt2awnhd0rEV0wiuqnbuIAuOUOEEkU1K3SRZjW+nTQLsmGXUpOfYcxSHf7SqGQ5kMHSzERCr9JUInY+3AhYSRdXBes6VKU4dVw03ymw+Rao2QF7IUWrSqF75SlJnEypJfF7BxsoGHVgkFTGZhhw+ubAUVVLjqNSqFerNxicn2MQHZt46bIN6NNorwN7OOqvxsX2V1hMhqPebBriv3k1n18Ms0cPaYCnel8/rodvhrPHCQKGDUyhwmgSljlFzStiwvRi+ObFO+w1GEN2HbLWSicqKZ2aw6Mutfp9Vp3ldBq66+oVlNxcEbLnq9aw1cBDxvZDew6/64+xCqEaLCKbSroBKfhX8AU92Wm1WlfXF7Cs88m06duJHCtdjhH4s/Gk9YLFUnwc+Tbq/JVlpDPL+16JN5ml/fh/+4nreCDMbWDFX37Df/tv737+Xz+LcKhpJjrvuSIVCWgYycJSDBIBqH/x7uLxr48MHG4aplNhrh0drHZXDDhxFaOxpIr0Doe0nKPlykzlJE6EmuQ2DU7M0WCHTeqG/e62GSSrjeu65dUPr8xl5+nmc9poFpM3TByMddgwEQ/AqzHEUiUc+6rEtyZLaQYQpugJEbuoe22RMlDKP1ndqYjjyimPlTqHKsuh+Spmcp4kjZBf8vGNXjipKuNUchjJXKOWKmKOQhy+wlsVe8hR/EOu5DggOfuDfccYbhy89etgjkQ9eH3dish9RGwWvN58LBrwvR73IuhXmB5GyFeQZml6qC6RBhfxgLr5CBXJ0GXGxnZ8rjoFAaQTOlWPjqZIQKT1zpigE66/AMQzBCFX/Goa7rru9Cj1oCn4m2+BZ6iigKTorVFyynmvEGW15ObXCRYRXNB0RUallzuRUWGDMlrs90Ord3758t1rqmbbGztvNzc3DTN4ff3WCFvwEoNuf2mMZYoogg019/sWRIirkGZs+EdjTQ7CmQLKWBbZtROdr2Nhe8SB/iKA53tsjlGw1zjJTCYjKds/XJC/urxOLyfUNBpB4gdaIGr6kc4NQw5JF7PF8vG+WnhA4tndfPhysJjNNBHGqAmRLB9X/Zdd+29rHaVaYIeMR/QLUHPG409bzD8OBn102kYX5+vlylvP8+rPtKe3XHgLkJeSnaWHOn8gk11RDyXIPdtLnToeUzjCSHfldK67boDxbHFZ+dQMI9sNyQojvZkhgaoyOV999U/9+y932GNr2kzJm6YTBgu6DZuOY/cv+/ZShAfQKipZ0HgV0Ii8sAnZfHA/tl0sipq+NV+ueoPGWbvVIZ7s/LVnHl6krEYfh33TO3Vdl26OYQub1WggUEC5TvyEno7NEgaRI470zkTVR9w8y1jY3HVUwSf7gz8GYOnjKo6ZdsJlVJJG/m6N6WgG2g7bCeykCZjodonf0uVBSPJJ1+45yyVAhBTLPeRUsG4UmHjIgbzL9Bm0BSwSc2cpKbTihdpzVuHjdHpmG20LPotuok2+LZsFAqxEoE1zyWSaM6FQzGCRjUcPS52ZylTzTyTW1FnRRqeNYmFIO8k5LXCqoxshAatbgEaIaDeJeM4XoXLOs1JFJPKSVNjzvMKgxHpUagVhsyB6VPw9sjwqNTgb0bzAYUW343PAwLCn4/mr6zdm2A5N38AYSt+gwTMirqR0/GUQGwTD9WyKy5oWHE23q0Rirfl8gXjGnY/LzFDRjLVXxWgciE8vF4PfBiYYKuYX0AtmZu8yms01IUUgFHeutWh1iG4EHIetVus6zepO3asfr8aNSTdnccAb+8O35twMuEuQNFH1Cx3hOh5XcfUcwYg/Oxs+PIytfm8pd7MTQ0qyNmtQCDlcH7lXy8UKprE225gW8+jE6oKeL1YNkB185MGlU+vJ5/GLHy8/fUQwK5zxOvSejPZ1w3w49FALW6fOkoumoTVqtc4b6zvPXLMMSfPq3S7+OPHVeXk+Wvy84FBZkKdkd9MF+epAzDycTPNgG/a7l/+E+vp0Mva682l7Ya6Gl9YLnavpt3xjycE6VkZRvaP15HJJEzXkjVCWmZ7EKCzBZni+yzAt26jkMSkLoenaHbmkkk5A6Rx5ENWwBliWSGY51qx0soS7kexbAJJU23B1sDRJszO7l+M+xTZlPAUlmXkRyOrRY7NspSNRgmQ6+1d4l/PfAx5pXL1i7J0dqxlmlYecUmwQvSTy1naJ9gPng3DVgBCrEjUU45LCOCdVbNZ6OWPy2WKzdrIoCZBjXiiFhwlTX5hAxgRTBSWXwRQGC/KSoRkzyKTm+cqcRBl+Xy2cRqDVkpFGC9COaREdmOxFCqfCXPavpd1Xt5DieSmTm5GIjMpiYDGRQP4YkWoojkqnqwUjA7LwE8gonDLAWNH5h4Y7VEpKbnELsTKyg3bb4pyqOTwfrBbr4XCQhSMKksp6oNFEjnV5ecbhSDoN0k3oeYmZTznMKsBccVdlE6amAomVhidpPH44suyOuuG9k9BJutDkvdc906NJBlU8rHQsivkJgwWBMcrmsznclbtedovwTGDqF8x50ykGlixyqhHwf+uJ07lsh4/ReRpog2eCfAYUn5C49g2cRI3Ohk9PU7BaLFZcwkrC00CYG7HXGp6FFy/PxpNH38c58iZlkqXgRZExa1ncnAVJDgjaWc0DYOosDAjElsiTONgD7ZVp+23PWBvjpnGYDVLA0iOzx1mn1378NOtzTP6ug10P+9btBsiZ5BS4H1rOpyA8xzAo9wiE1RATUZ5kTPdCulJQKFlF9Y97unLHXIyYXA1eeN4Fjqe03F2nbzVbNj6e8duMB0CFjGaz8LQDF5V2/altS2IQhcM73EKzSwdmutD672SjCuCVgSArleeyHtPCdoWVr2gUqgIT0tG4ZCZGmkjxUjopdPamE+DsCbMsTDR5Tep8FcCIQD1C87GEyKRQGPGcgfR7jbmhDAO9kZS2L6OfwpxNE+ewxRoaJWxuBGbLQMP2FaWkoOQMkd1dhiqSNBUv7Ej6HRwd2suZjSVutOvoOGZaSJ2XMv64AmDNKDgEPZ9Tymq1AnNYAgLzgqsEIAmExyJDhplIUtR5oYznq1UZAnuRSwYITcNDY/FXRwGNKlTDJHF1gkwpJ/rc2rzE+J4CNrvydog79qbyHiOnE3BUSyYpxuIWv3KKwjYwmCye7u5ev3/HbEmTQqJqVATdNnKZQGzzGMiiWu6Td/bSmj2tho0Ng0VKeAKZRuXqeLtZMoARekH0WFJZz57yDssEFS0ajObrhApk/iRM9XLBRDp/mpqX3U+L2YvBEO91myql3sjeG4ol5TR1JfEqHFkvJYSr5Yp/bK95x2gxK0GSrOyF7MvH5eBqaH9cJEgnie179+y3o6f7CdcUdSCQScbfJE3mxQ/86WTKpQFOCWUuaJmDYe/u5oHZADFVJjGf4IpPXYx2Lsar0Ztz/LqgfJdPVhnyDIsUhLSHSLIKu61Wpd2CBnp+DDrsqTcGfnDP3VjOCsPNWWEVsOI4e26bF41ev20tOvZf/XAQtOCYRaldDF4jtWqGLdIYFjydQMCnYa/B5REZLZBmAdAgmKOJeHkuZ3oYuVWdTjK6c9jaMq0JVcpYY5Cl/ORQZSWvCoXNkoO8DWEz2mhYJJSMObKIqG03kRYgCIuYV7VRW3/QwfCRPZ+LMtZpH/hN8wWX/GW32LbwjFxAz+kSQYWHkGqNsGcg3zQWBe9Md7R8QcQeQWoOEPohTxEJ5UBBSbhWygVLgIZSGEVgYqABlMUUSNGTGHDXjnGKkuwOQ3u+BZvlr5BmwWYlh4Zw0izlPLtB1EsB5Wi6B2aaTaJN+SRK72EUPWfbVgyv89QrqDQVwzJdcGm600XsO9BJD5I8GgWahof24u/pkHoWSKqmRw3qzdAUwzchFj4FJstuwHlfw18ojiqN+yZDOvSU7/Z0Nu1Pzi5xny64IMSCw2+bHWxduY6LP1rTbxuYTwnx0jKjj5j45CxDLLabXLYWqV7lA6MgTomtDrdPCh/VApQMPQgFxGSwgxj8NbYabJZYmaNKUGCzDBeCv2rKVTO25qCiuZuCWETZsot6/irSl8Lt7paN5kKM48Dl02L0/fki8AtMNmPZlMucPZzYxakrf8GJIcClNlZQxi+jg5mCU8K//vdP4MmjaG8LRAAH7Pq9Vs9fLidP6rKVccjskYe8VcyeHyLCiRaPPXOq5BtkIt5aQnX38hfDnHyGVriaueetocqBjX5tg9S8U56wdWDNv5j7kDnXFhqSTkyEkT6H8gxL4aPWjzZDVAMU0ZR+NLvM+/asRcctphOozrhutHrcEXS6nWLFYWDCHgtFKk4iAqt+2Gx2uDUWCJvFPh0qjWNJq+Rb7Q6ioMPYLOThHBHGAKNfHwUsJmFh+MqHUybPPp+cT9EyiKOAjmb0ppdLgDAciIHs9UtJKgmmY4D51R7wyZsYPaR0IRuaoWrHpcFqItzXWyV5hV2Ob4Ry7Awl5x86RGvFcexwvHYBOoQUBJu1mK7bXbkzhGY2y8SRbBatBBBNM0ySFSQBwWg2S3PwjGxCklrvYOqTdL+0F1aCag33dAOBvB42X5kLPL7RQFvTqIyMA8DBQXTCliUbfNUIIqPyZuiFy0Arhbchj9IkR0ZQ+NPNTbffwyw7rC+dhRKV43balrm214Ph4Lz5tnnexCjW0DJguZjvGYqa3OsUzfIAWLas3DRWbcjKQpm6ykL/6n/xRCQvtZ+m15xNlk1cjAyS5Seb2Qj9248fOfT8l9//jiFKdFIqZXFi/7e//u3Tx89ESaUQwqH2zqlNRXdsl4ChVNdfedz5wi7T9sNKbD+5g+uBjc5QDJBCaQpWDZ12Ey6eGVd2u93tWZi7oHmZRFBqXK85RFKaMdvA9RfKQ2i1IxanfdezhWd64iev3kOrk7Cc7OpBKUmlqlm/N5NmgBIUMWyDTZAEY5FigTaHTbCtqW5XPJb/KhQeaw8aUgWh+3t22Q/vgJEUhaClgSkPpV/dRKDFcf02UvIl5CqEnBVlcfVwjcIVPn6Hg9V8WcZgwVjBI5kBbBYdV/BoNosFBTZLenmzk4HtcOl17AC7LKEedyMKARTABGUW1K6VZbBch6N2xEV7uXkugF8W1FViH33eV2XDPc6vF1H+SiPveqJBvSvZSeIPVMAqLltXTug/V81kgkRQzW1S7h/sbodMIUi0dR6ApxX70smQhupPeKDNOEyn2P9ds1mut1jYy7bFZR3crUfGQqvZo0xR4KP5JPAnY66JMsk3n6TU3IUWdyVsVnaO3uSo/cZSASq1k58mIQyWXEhOPWxW9Hqmw/ZtoBSkX9qrnA3UxYkr9yg5w1HJI4KWwGm4U+V8pi4I0pGdEqNhsEe+fZKC092Hj+9+/QNlMY/TfRiLwpSljbq3iBtlckc9ZTTqMOPtAzhKywLgugHcg+cuxZSwjJU8nD2qabssMKAFbhGzUogVyPdajdntzf9r2//H//wfaN5HpTabj/eP//GH/5hMpmRU6ITc2LI6nV4Hs911u5hZEJUVlsjC0pFvXf32xeLnWSLf0lMYSOsJVcqNH1ZPezrhi4Gjt5LE3t3es8x7LskLkEI/jv+0BDGAy0O3piUCkdRKHEM/4W+9tgF5KpuuYBoF3Q4SInRQliqdQ6WVwafGH8z6Gg3FLaYH/uhRfELvJ8dCYcpZO7/6/u3n2884j0uKRBbGASH7360ykujkRfVgvqYdZE6ezzhymuvxZDoc9PVSkeTjxQ0cJME9Ma1XNako5h8X8yKtTLNZtBrrCOc+TbOLVWDWoPxV03Rx+l1aW84Z5aZq+vEcuUIoEqwNSabjj33Xdg20sAQJVim4mLo0K4bh4tKUuYg9po9c3poBtPiGy62ZZ3cyoJJIxgS/Ugv53EyQRqt7qIeceCPXwENOMQue3DHM89y7Ea9MgcyyzU0kBzZr1cEhvTorZHKDW6hmsxLmQehbqSdWllMVCWtFtGazKHQzvKsyVcaB3JE4VYIvjaThKDqJZufxTdBIEHiml83CEBegNh/Jh6ilYzM9+mYBtBvueNMs8ewRp6/5+xVmDga06zzc3L18+1omYBFicS2kt0BDRdm/hTqZWQhcrwvMje6sB7dTECNZve58OSvz1SAzylZrlkJl4M3CVc8QI0V2S/xsVTcsJXrzyf/z7//+r//nv3HiyWngf/7hj58/fqJGFipmyAFYmkQesGMxzSMEg+VjQ4ZVv+gJbEQUttdUKtMyZWpWQpSg9ZyayYQQ3J4Ij2VZXQ5quX2JwQiYSLVXKahly2kPY2UxRhwLcPdCzlRg0jKQv8kndUxzHpuxU5+lyvQsEju1+KAZZSFDzdXqEDlWO7SX8FFBEy2rmLTNUctxfApQrDP+yWWh4kg/g05SfqamOhx1OMdd9c/PH/74sF4hCe7zMEsmuZxwGdhiLgFq2EHBLBIskKYBQwYrhTQiaUww5x+xDFnFZiHr2hSRlJW8CKrbu18dpW00wABF9JNv3ATEQS+MVfLBwNGGjMEyGFpuA61rMYFms8oS58Ofe6ak9bDxmy/3qJB4O6cm3pi7iiFKoNHyudtR9CiWrChCpho4/GheUhvRArQ3aZpNq5vluYvh7hmKb2kUER1nvrDNjvIzQc+qPaRcotJySg0yYSFOzjxoNgvG7gQM1p7VPzA5w5vmSAY5rBWU978lR5VvoC06RUY1wBgVqRQpI35fN9McVT77LzlkOR7PB/2hWG2QfYbV6Y+DW3tto+rBEfCLl1cgT6fT1/vWQh9hwJ+JG7eyRx+f6ZYsSxOHi82nFa4TDdHBYpe71StxotSv0Kpr/+Hf//3i5cubT5/QbH95Hq12ukbpoZ7Kt/uVQ7rNZlMnjwcGbq9XSzwIsmpttRifZc3IVIgca9oyL68v728egEdihlohHnLyKrdMJQ03IrwZesSYP3X6FRKCDKBiwJlER30iZNQMVaYRDgDKsR08q/Q45vNhI7YaNYKn5VgvQ/O2hj6WsBOQ5KQxuZ12cZstp4TyoJf18rdXkwntL2UEQ27J+taiWJVK5ZAuyPSpPmxrWdic4rh3OXFsOPtBvw97QcdxPmg3FqbXFR6udi+gzkhxMFLgxXu8NFN6wmbJETOcYRnNyNFnW271arQT5BniQsdh48XZYPTi5c8fb1ZKppVOdvA7fEAiwWKvxdyyAxStqYYMArUdKXPRtGURXeTSHRTAoa5RwNgfBEuJrMipa6pBqEpDR5s5lljUchFP7lsGvHJy2FC2p03OEJmZOXKS7n+ep9PCDHaAsutibeLQkEISNouJl/rqkGdlIWCzjmWwGDYHrxPVDZtwlzoZvU4DacqgdTKsaDWof+hYDHtabzyxWYMFA0fIwp43PVzL1Jgja8+i36yF2Js9fv7CDSPsS8FRGWgWYQ1+ueQUQo95/vKeKE7WRxTK5CG90e5w1gEbUZK37ghvdXHIx9LXwDpXMA3KbhEyMzF49baYEpmqJrc3lqxSeRlPGUolmMbBnM3JjE7TxCGMC10NQlz8g8BgRKL6OEXlL8vm4vERSIgRyQAAIABJREFU+6LuaommG8to/lJ9BoDfCuyV22sIB/D08NB7/z6FTibtc3+mSlaMFX9UUN2eTeOXNKkOxFBCc931LbQARQhYtpAqOVbwKjRuS45ukyLoGmQq/aDvTOzB28H0i+22na7fbcwaSHQ4ccXUO4lRanbXEe+V5M2/0O3UNO58jLEzWhpYNsFSL0YeTBaYxczBVMMaB5790PBd376w3vtrUX7a60GCBYWhQUhxad0axWY5iGPZ8yEwLvS0A3pYYEl1UlRyE4+c6xXeRl+9e/fi1cv3b19/+nL704fPa2ffe6kFVWG4t2VtEgQ5g9dTQUG6OIhVDDypo5J4xaG1f2nOQ6itBnw4RenUY56ks1UFiyBJxRUhEQlJtXAsUZRsR1hyfxBwkERh6sSAu/hNiqhXCi1MfHwgbFa7Ebi4OVu3BqNzyADcNCnCQki1n/k5lsGCDToJD0id0wIqag3Fl0FmO6JFcM/cON8GPGrp3Uv8BCNXF2pveNb0U8tfcygUUYOycfjslPHVKg8Lcvfx09sfv+cwwmoN3l79gFb7bLrqiaF2hn2akaiFFLTEQOIvG3d8v4hrhcXY7BaTuh5vdUYaFoMwiIRZoO6o7Y25OF0w6wm018Hyxh3ghrD80YWqlTEa7eVpUzFqYqDjZaPBKixLXsHjO2JJLB9RXVMRTXC9oLtro6/gAgqjs/4yxAqz/yHsG8bkcXJxHbk1zBcdhaTQVVUpTVgjYgMAZAoaQk7AyhmikgIKuQ4EMBQgdMiiXdCuESyU1rDd8HKXv8KwG/grv4sNhlVj8dOy2WkaZ43ggWMgc/y32cvfX37+KEJEeQqx0VGpvzSqVrCTHG7TfQqcybqDtQb1oAcjMu7ZhMsLjQHmh5r988F4ITbc931oAaw50BR4nqEltGRLAxFL7KEvJuBDrqW7aRPwVALOpZdzh0L/vfnuB6StLLRaV4z5/1fv37578+rnT1/+/uELymL7YphO31GyVk6EaB9suG/IJZ0o9a5PBkUfTCadQ1b8gzKlMCh5LZaaliTeBMcVlqFRMDw2CZM3PYrIx1mCNz/IQ46oTsijCKBgeiRKnyFKp6hLD0mh+kXlPvEfatTlgnoYruePSww7WJFuYkYb/cSlxuCKV5049hl/WQL1KqjLoH0TAdXOUmkahBw7k502Af30TERgWkH3wjWQ3CspCy7e7KdOcGcws/MIN7kw2ka1s4zT1vWQ+eUYDLz1+u9/+ckaDDC/vlyunh7GrPcvXl2x/YSPgE5gKsrg0y/Jk6Yo1XQQFa3aWLtB7g5TGt7uuZEiuPUXoPjrNVgSpoHTzV3iUxDZ32OG3tErMUsL7CF76Lz8TKYiRVGUXf6wqm/WWchPz5Ye1onKyUHWCDnP2WRM4AOAihxJxh7ylpftcN4YYONDjGUZlOStFqsldseq2MoYjcoax4nyv+m2kKaQFix9IiGWmFytTFcKYBOBMKhx3wmugvQVwk106g3By7gZVNsgRQ7dFDMI0giwwX7fc+c+Lj35bDnm4mF1/v1o/XNi1r+krejFuFzVFFG3ilSVO8LbSxspYbMCz/ZhfibNWXPGJYk4996/lAwjRaG4Bme4pe8SqsM12CycK3PCsGGzkA0hwcqXBKj+YGPiTieAzfrxV++/e/v6w6cbOC1bmSDO590ZggIWFdfiKDwT7EzP6kOajQIWmfcnHN0p++crxQ7ttGr9tu2cqnyN+Y7xsZ0v9SXHZ9xakyuEhU9p5VB1o6N1Hs4HNwSaAgN3pdNgaie9QdXIqqmJ1KVFpCDVeI3HiAwQlbwrNlB8ezWxm53k0sNzs1lHMViqReo2hxZQxbUWAVV9jqpGcz57kr0qW41Nqx+0z1wTjorB0BT/M/ZTO3AijiqfV22pNsF6GG++S95qJivJ/TWDlQjcsRdsjRkLnvviDH3iFuICRiPH9Ho1ShCiI3j4JJoE/E8C9kMEMpRUYPTHcz3spKstdLnkQQZ0LRo2WK3ZwGv+pFUGkBEcyl0zt8ui0urI7YPlYoUDLbnklX6AhIiF+mb6SddNpZSJIZ4dkqxgi5nIDvZhSx4WFZS0kIw/xwPLaJvO8menf9Huv+u4975W02a+nD89tbucDBQfDRyPjHRTrY6KiqLlFEnQvrWyZfohjXCryUVp4O2Gs5PH6nj4fYz6RvhvpLQzZAZSONguP62/+7/effi8lEbMlLZFGFlU4spm8qQqwZ3c0Dfsxswde/bqSK0ecIG6GX05o1mMSiRPynJpzGZBkLKuqu5IIVT1yrL34/fvOTT8+Pnm549f7P2lWZEClnIinaym+SKTRmXQEKvZrCiZJojyFs1D0yF1Ca4sfyocrEy6iuku2+GpREI48hnR5/4Ip2Ed7CGH80FdMmi0SyaB5AyR2+JJyyela/wJjyqSROzzItl1+iIoNJTV5pTQs5dTvB5o3SySPx+bdRSDBc+0RZGphqCe7G94ksrqRa+o1qls9V7zfVMv31GpDu941uW+3znzjY64/QKOtzSccdu360p/pb5QjR7wR1WifmYRvVSO6vqg8ilVTUQiIY9MHTL5suwECPaxXKUzYFoUDknfw1CUxhwNEUFB8pBXUVgTB5uLtTN+mpydjxTK0fgSIFID/J35fauS3ZDSN5aidOkFf33u1jTba45rUfeFbdtOYpjdwVDUSlrrVs/r988ZtGyIl8s1OraN3shZzbXr2U02Xf8UNQvqYLxJUfDG8R8pIi91BfFIlfB+La1Z+EjTHTGFhUaI1GE9Xptj0+ecVCm864Lou/Hdw4s3rwrLzQSmKp2JOeVnXNkTwGxOuaqL04PdoGIey7zfZR8LfSxkWO0gsnjlht7SXD3dTM7enc3nEyGwVDNRlx2EoXsWBIsSImZsPcH/CkQU6utUZGdV2dhgmxT+SdgsBLzxbA8GMZsFFRrDoRWs5rcf7OHFVX84SNVpRwmMfcVmvRI269PNXtKs+AqhzGNW7oAyUzBNqxks/XcrNpqktsJ2fpCpurN2QtAJmMBk96k7NDshqwm0zpRRszCVTN0fPMRDTnJ/UGbyEgWs5Hyw1yu9vaHJHCLZRe9btdJERZY6ucDQajONes5yzA18y+rp0+jnYLOOYrDSraDZqWTwUE+ItUyJaqtt9vygoIJhsCeQA5JTtbrlQmEDr30WCEelHn9p2k8tcdp24LDbnte3vwrrUiNJYb5nC4SoFYuoJgRei+URzCQ6gXABLXMxXyGtoccJJ79cYGMS364bXnFIyzR0f/ugThVDrpWjL4/BTI5CpuOp73ovL7InEbl67u4Ybs3BXmDe08DlcxdVfGFBk6fb7796/4bPxXpq2xNOdLHqNZnM9YBXPNZww2OBr5qC9Q6kzqSQFCTVx2BSquhNlBLWYUkSl3PpwMw7xVH+foUqELBuWBb9zY/f/+X+b01gZHqC09zAo8HPLsSK/S/kUZXdzT2XNOemEnLwtjNRnDzmsYx7pvE4MP8btgPPCbpKGCnHrZc+B3iLm+W7//F2Mn+S4/E9O0mSS7cUb430tQxJU4FTHstdIQxJ/rGXKLRNKiOTW3CgxJXT+5v5pDO6uOwN9mKz2j9+/907pFkcGn6+oZRdGNFRomRNRdmP4f2dhbM6CxM7zcJTJi+Qrt+z0fbPUYAjFdmEqmGrJ1FQ1VPoJvZEb4bZcRZityX/bCGzHQ06iXQKST29nX9oY81gQS07e0Q6g7ojyFVeOPPQJETNovxKYmmQ/R6mUKRZAfr8C6fZ6uJphx09IDVup1KB30F5ZSirYbMx7Klr+HWO/Kj/N9Fwj3uzoEnYY7TgqEY+p36a8r1ly348hqPKlFJEsJkkv7jPqMGE8GU2iH7L0OTiOPqHylRDVy5Vt9H6FUX1svRJOFtn3hFxTcYz7JCjII/cizMJTl3gvHotwxqghL0DDgRMWdWj1LCbXIGxO55ht41OM5hzL31z6ieKxuppm8g5ULvysEJEoGAkD2tuAyeF7mohh5/pkkQYt8djhuZ5OBSTAYUPlcAFm/E853RW0ByFi8W8c95tjAu04ugwdz6zsRhbrvJWo0sLK3Z4IHu9agnlfh1QDxG48UmzUa2P1eyGGP5gvUGNPjj3F4/2MBzwuV4vmm1RpDvkUQOtgpiJ4o7oyl5bogd+sqqLBCsymsWBCwMuggyl+1y7CHDExIhuoQAwvbudT7vCZvXl8nzNB58Hv/7hOw4NP3z68uHzbbUKPHI6Jg/mYtjbXtfS25iKglj7iQVVnopk+0bRBMeAA5l4lKvGjKYNxUPvi0q99LQDM0fgq8mqXhadSoyZxVXVssN87sTBMzqsdQjPaTivf39x9x/TToiGegwduCqzfG+F5gusFcLK0GMyD5z13IbN4j4EUiFKOBWbVZfBokjINKFUqsY7jjVOUcdaDZEkouZfX8Ndl55UloORVl9zVITJlXjhqB7UqV+C6IlehJz4lyawE0E+NRhF+HpO2ZP8W/3h1auXsgqm61kPP0WZ4j4Znmw5nfW6rV4X9oN1qoQFKQW7cz5kAJoNG9lN2OxyNwrl500Rsnioh/08xiLh8kCMVUE89/VQArG4IwmftcLQ9mKaPiuUvk11bil2qQjsPKW+tl9hFNfYAy9PoJJDtNU8xzbQ6It64wdyNptevr54eLynifPJUMaaPjxev32db/89a5mHfXiI4rF2MNCHQy/Jiae9STMs47Gk0zuN5lTszXodPEI6fb/HTVXCV4sl8v/sGXRJKYXBqn9L6ws1ogSDo3H8LKKxHvNChZD2C9RXCyF1uf2wZZs0ZrOwP4H3Ksee3HyZd63R1dXO87s0BhhP+g068O9ef/gobBZOe9KxybvyQthEpZOQCgWsJL0WXG003JOI9EvEMe7HNO2cU9IlZN6Rq8XMiho6yfjR88UBE0emgNxnyITml6m351KnAhLj7BBe+nppKgk2PiKliorzwXR6w0PXPmyNjHAiu18dJW0gK+6JH2Yy2CyEsMuZbeAY3Oql2axjDuJKGSzmR56kYlqImi6J9ewZanrihjsVOCyDIKPqDNaG3IbhpAQ9KnPN3SJlmOpUpRTCUY0cK+7pFMlQL8yghMglMacNjs6IZBI5gvAxR/Hy7Rv0LZA9yZZz/wdC5cqEuDV0W/16hgbyhSjebsd8ODhv259x5dYxnrDCvukG+kiM5qmHY0xkZxhK5aslq1e0zjHvtFo9Jpcl/x5uk3uF0nSnmysZsaPGoMDkVq7CB/Ac2GbAi47rOoPz/o2xxV+mweO4enz/dPXqOh0o76efGLMlVHzTR0lfpJNtejEdeqJ3FqstHkvmUykQYqP9G0Zg+ByowK+HjXmz0xK9OVJ4DoqFWANNM/B7I1RWXw0I5hivhXBCy+UCa48Yfdy7gPIMkDpdDXDqKlbj4yYGJa6nBU0PQwDsQ5AaPH3+1LZ6o8urCpFnvpxup/PbX3Nq+ObvHz9/+nKXZ7MiBSxlVdyqkJPFiKn7j9sa7vlSkxBy7TNL7Zk8KYZSRPKa+t5+LaHn7UT7fXE+6K3FxGL+SToxH0VIIp1C5Fa47xJ60HM7dtTqmTeHcia384vXZ5PJAlU0mkNGzz4tX4hqRSDI94XNWi9na7ON6NPSbBasjtTxIBc6EYMF6jwZjurrHPlVVLgwCjwLw08byC4LzfT2mWeIK7mm3IyxrdVtN8Bk8Td4tgrd+ng+ZApJWTU+CEgk/6slszBhfby4y6E3PQd3rD6bQNlieQwqkVCnFAS8C74d7K5ogMZEqH+lPURwpR4krEwymGTUyVrtFqeWOkr/nTxNTC4HxenJy6JbWmo657d+VwbAqWwTHkvcvBQZI6RFpDk8h/ubw9GwCGXiv80DtYIdy/zXLJ4tGGeF12HrAZ13KTsqPVBOeEyxZhY2OxgB1bQkVqNwheSsMLguFjCOeQRyZX0Zd2dnZzaC1dUKJ277WATYgRdEgDSO+WG5dhgC+k6fzgNn6Xs402RLImwW9+YfP3/s9Aejy8u8v8KKYthQ/fNvfvj+/VvYrI9f7pCaJYkjBgspIGO2XJ86YnZBKH+FMIFV+CIkXhhRHLhn8giIITLMKgoQalJTkXopLnqvUPZPvlOi4V5eYc4H4xuEkFDx6Eb7Sg87uhg2YydW0C3Pamxbv+48GJN2ICyOBkH4qepbiAZb334He10r2Cy0VjrdDZtFufuqJ4m6i8YYIquf+RsqQj1T48JItQZ+Z+Qx49EgcFTe3Fx+6bJr191AQ6G0X9glzx0IPtvkXTVgiwn8EBSjw/5NYQxnNUr2mVt2F2yK9ULmCTVV7E5ekAIFLDYYrBYHGHzfBrejZqbfavdbjZV0CA9oK2qURkHpgxDtRbERbNQTUbFNM1g3X+7G4/HL0dYlGgEiXbyj9G1UT/BFuXsdFCJqAUnP9larBZrZ4UrtKbf7TQ9PNBvW02m328XX9QkQPRkIOoy+20zQpxss2yhGBKJGLSajGuG0Eb4MmrdpRroFIxW0UbaC8nH2jUMn8cAUCC9mtbpISee716HtUgu+VBdv6luQotFAIMSDufelve4q1cfCZAcESls3Ghevv2sE3mL80EyplcHVeJ4tt1ZauNozsKP2sFrAZp1fXrEm1S8rZrPeYJv045dbXM2RF36OwcRswFoOEVZDo4lQMCC9ZrOqE29iNenUHrJ7JpeJJdFj2xRa8CaYK5ImrjY2BXDkQgC3WmmMosiqsOT+IKhgXqcwqaPsZYAqzmELE6jAaNgAh4cQ02st56vWiD3KJpOKkpQ6zSbipG9wilyFTNgslLMSaRbl7sEpka1+6qQKqkeP6s4E1F4vJ2TskFGhlt4euWwSqA6nfu7cWHyyUpPAXqg9Z2K9niclPNeyoAvQ+zp5543x9tzdzESrRrWcpiVV3OtFG2hlo8xpo0wTu1Tay4AzcgoJWyPGPObbQWfY8Rd+VgyuJPlsx3XK765+k8j2YfvAB6wo9OHh6fHhkUrmMSTwudu5sNYySam5qjA2CfQwWtf3WphPwu7VyhW7RoaPjQZpLmE0C3Bn2ZygjPXmlW6TBNS3fREOSyosrX0gtZVVIK6ntEWuReCxxs3Gli+dDgxWiAI26UUXQ4ENegFW09wnv9tr4Vm8rKi9wsuoOg2E0jm8xpgcZn4x9nsq/XeKRraB+Vmes8uryeP9cgz9b5ZwkX1gF150JhWbtVzcLRfWYIQ0i6k+jWH1O1zUP//2h1999+YnjJPe3CmBmTAL6FOr3VdVbs1Xgep+DJYGqSmpCvxWXP3kIIN+wVbm8o+I3GoM5HIYjIdyDzmViCTKVUwGhdqfUDhH3lI0zgDyJmfVwIlGjfxsHk4JZw/z9qDtjvVeLolSNdYZiyafJN2RL5rNcv3VYrpudXtc3oFfgmvX+lF1GKc9iPhIXE+SnYohzT4MlHBU52imR7d8sbrnzszFh97+LPth5R+YC1KiR7FckywIFdReEbVV/Fa6DUeld9zJUs9a9BWe5CQ6XqH2LpP20XMLp4SokreZKdQSR2C8ctWHSZ3VllByyDvjN5q/OPhaBq0zY+1n/eQwG86mM3QLRmdyKIZv2XR5SHFsZanr9sst4YUoSRFHzo/pIvd4p5N33y3AbGlzGAaL0ETG4nLGA8MoloIx+lxRFDKayeP44voynUbTFHX9Vg9NLZR2knk5JtloeaisUsxjiU9oSc/UuyQ/HCr7AnkhTO4VLsR4t2LLT9ZGEXVRQGWtwWEw6PuBtVws2XEer/8uRM1BoJJIwTBdv3pzdnE1frhbz+A2N2splMQ/lN/l0LDZxH/i3WLeG52NLi52skfpJuf26r/806/fXF9Mbz+KddOw0e1ZumHTyTLvWsNdq2Flomp90kubquzOUTc5d2hqHKVtlac791DaxoafW+Yhp7yGlBkpVymHAYXjGlGi3qZDCfRxhLPqGEE5nl636qI+SOIi5R0wXoo2zXFGksWveRgnCIHT5bjb9ZYLLPRa/U6ny4Rfk806hMFiqGiiPAHu+4Oo25SsG2bYuVAcFXMY/QhHNTHnP/XKqWV/bJ4/B/WVc5wTFsQgSKZugatapwh+3bmgKG8SxgLuNYJWUMhXSCrWaZkLNwxkkrXuix7V0OTF1TkKULBZ6JOjY8s9KXu5aHPKm9S3HKQa7yod4qhoQsi2Ohaw3BsfxyMZMGw17en0yTCQAahDsXRGUep8uH/68vlGky5lqLIyMBQ3lw37Gt9s3csOChM8ORxEPMcdhBZu6FgCEWJpoVwlgqT012hRW/1B3ldJjS5JgO+TNslU8aLG1KE8lhCTRmjDeleUlY5SPJaPv8JbDgNxBoD6AaQEFyJDHKLDx3MT/rXftRDrMoOn8x77zhCjP3YuRVzQMA32CRxscJnRbB6l/y7tLKfl8ZrKGtzpvHz73r68Hj/coqYn7GX8oKLCP27jikEHBtRssppN+5gPvrjYsynEQ4ZsATB01MsTXlxe/KsvD+64QhgnLv6NyaE4NhdK8k21c7EE0G47FbCK8qmwEjF8afook5AgXpGrk+Vj6TM1eUuMGKApehIRl/a3oZNQx+pGiCGFmN2RC7flj4IEaVewauWZa8aI9VTcoDUcdwGbhUPDdrtTh806hMGiKoCuidhpk0krlj9ILqwrtzVgbInpBHzLO5P2+n73GCsH+e1jhHrS81A5RqVNIxGpSKHrWrRdK1E5PjrGGDYH18PZn6f4dC1My1oiLpSRkain7rjbhtXuID3asia6XjviGq/ZnN/fDnoF41PREs2imiNaK+W9gp0lS8stvtvFFmc9Gd+322/eYm8i1dqNcLlYfP74KRkyyf3B7RrI7EDGw6qfAbX/p9AYGEgfxJwebZFGRgl62a42zFZzOVnTaXi72FGQWq2X46dOF+djce/vyrQD5qmi9b6lpvg6XVNZF4RODnvUvULxV3hjhFwiFP0EBQj9F5my5AIqDWzYz3E9WShMejjdrWW1YFfQvjhD8rpcLbH/foD+O/Vi7eUKy/ZwkAK5n/X6/fd4eh7f33qrebp1UYDnn9J/F2+C6+l4CZt1fjE6O6vJZrnK06JmmCoYrAQrPTBPIDKgwrXpoiItveM7dt+Kx0tZD5WHq/6V+tXpaA1GPOSoi8/lUItj0O/QEezTcKlcmEjfMSQdd0XrowQomDfOyd0llpP1KCkEr6sJeKosyfYqohhiPlTASyhjAXPhjj2fr7EBv8VmQUh5Kjq8F/M4PHcIAyxZpXRZaKZbLxzTUn1MD3tN+7Gzuj3pzk+VRM89S7fVazKUQDP8rBo8lZkzFFlzt5ABqdo1E7bvp7/2Bz1DtHeLnrltz/3VtedZjUM0ThiB6nyBhSP3KOQhmLkd9C3hXeIRKGNFMVS8FNawMDAHPxfAVffZ/R27tMur8yQSHz5//tNfGHjII+gElri8AlaS+Ju86FkJGmOFlxYp4TkU/WNBFdVTVJYDZr28TJI0XNxCdIyBpeSAg+F5/3D3+tUbKSjVtHuMKXLpM4YTNZCmFpAtE91JOckIUo1yopIFDDwWNwq7Nm515ShZ2gEP0MzEHo4s/Q4Sz3WnVebq6Eg8ZOtZl8eiqK5courg7gn9d8xe70u60EOrVbzoAhxDo73vf1zgFej+hruESXsT5ePfChLixBCBVhisx4+r6XRwcTEc4Q6rYKynWwUz4YwytmyXL15yzJiOyr+rCUSmpvzSmE+8OyQirN0JSUHa1GiIsvhYuQxx7aVcGtUCU5ZIr1d6u5QvJ5tLPOS4RbeCSVjZ3lp7nVSww4XkgShRpInKFjTbrGzBld9YQ+pYTXdc6lgVuG7oBkO8TIU9exDVWRZr4O6udWXhVZEdLqcoNstZm0qa1WahYXhwBpphs/arMGUi7z0NLVbhXxxH0aHp9t/ahrhJFv4cownrhy7OkosznC50j8XgdIVqSBCNquwuuPG8E43bwziqbCHQaOE8kE1X9S03L/2wRHpsdjGJjhDYBV9qsKOdhQXQJ4rR4CE9CzkHK9JE2UcNMrZmAlcOthRTpfm8qrGnRumBtYbHuvv4qdcXfWHQub97/Ot//5VJnHfpR5mGGlzUymIaf+u+VgjEQc/0u2kvaRZBDnkvDVVONpyaShNj2wifkSEm+QLsbfHICQHNizI/UsSOWOHncFas1y+m2qPw4G3PuZnhQuf8csN37qyWIMQa62ARwvUcx6LhTvSkCUUxhKlaq2aJiKO8KU6BiNF4st4b5p3aeMjFGnXVpjVGP1sQVAvjKcopgCH0JcMhX8F006QywgiFGG9brgLH7oppt1Rc5SsldHb5ARwMh3i3nM+m0/tbbqim4dH/cmioTMCjE7Z4uFtMxsOLS9isdLLM+9WLV8PR+Qs/EAH2rkfv2GmKgtbYlbc0nvapmmA2+dIJZafoOkwOGQ3OTepD3mRwF/f1NjTmUHsx3g6LvrZ2Rdsp4JySo6x2yQhNTGTtZepMlxP2sZvmm7iY2xwySwwKdm7DaTfaXs9rXYTu3DOWmzS6K+vUers2+33Rd902gwhrblN73bJ6A4T0kBNcCor8zF08QNybwYJNO8zi1n7ox6nNXtC9dJFUoaPQMUy0ataPyrxnPQqOwRz7mxeeHQtxr/zCHOQetRhsQuPpsiDlJtHeb5Vrbi1o6JcgxDJ6RqPocgLbHiYAlmM1J2WqJPAhU6VSzSs1E1NtLOUF6XK4xO2hNmCiU1V7WaCYwuUnV0RhAIPu019/+uF3v324f/zbf/8Ey4LOFv9wjiY3CuuvToXQjwjUjaZ0JuSyT0wn8e9OyJJQLtqbA/z/OOcdcSfXHY36ozPxtBhzKTgFosdgs8zzq9Vi1r9srpeONeq6X+brnsXBU0U5zIxczNFMFTpAsNJAheHAeGzZ9e8KaDWjhJWRTpHqnXSZ3VE+AsAJthtC4w6fLr7Mbzyqj/Yg1B1llEdT011ELmhoalWJG4NBz/c7i/nSCP1uZ3vFKymIBRilq5LITTBk2n18AAAgAElEQVSYjM7Oh6Oz6fhp9niH+DOJo+gtTzu+N7+P2Cw4syRZ5oXLg5mQsk+t2w7FUlBZmkPCI4LanVUnxMkDV43xSf8c00Pc1yBTXEdJIEM7uv61G+k4RdpAQ7WDZ3JgRDDOV+sXz2St89C+bfTNzZ0hWCuv45ln2LBA6Om3B43lF67eDja68zFs6VA1nE7cszF8/Ut/dTtGJwzs1RRXO5Yl3p9YsxI2q2q+2wb1lb7QoOpcuEZLFBWZA/xlUwymY94zZIRzvWVjTe4rIRQX86z9FBdS/BtNu/zEE56oxGrBa5zja8zKcVl7/YKzt/S7w7a/8JJjowSCETbbPTQHHRnkHNig3ie1jGzecmOclNhfICTJUvtFZhO2FIdkVcxc2XxUiYDg2fS9v//pz+uVfTnoUuW9kNftcDyxqak0NF40nXuUpWQ51DDn4QpniQO3n2/Q6qJlvpIGlVmL88Eh4uRGY3B23h9GHuUI1+LttbLjAKsEW9R9hfb/rGd1Jzez+cMjtgAyXhQpFCVWmCpkVQgyWeogbVhoi/OhLkzpfq1X2TUSGdU66hK+KF+qpPmrndlPmwCdd+2v8C7AfTeoRAzNaUspg5bt7u2mUfwGSbZy078ondNRXDNs4/i8RGiR5GH0Vdj5TJLpF/oEI1ij84vJ4+P86W7baJZmsyIT8Dg0nN3dLiYTrDns5dAwUyKf0Bt/NZuVjz0qRLfndgPmAYpA3nNhWNmF5WNPFaI7khbO9qgqQDwQejLT7vsk2utGU1xq5rOzr/VUCzOh1+d6gWM3HPOlv3p0+/4oHrQNFw3QK99oeSscoS7N/vem/eANG0PxnVH4qNpKrYnNkHJh+kMDmT+sDm0Lz4dbn3a3N2CkUDh/92OwTi/IQTl/6HfOvCZ3atRO0l2Y6ztMejLfHFrdZ8gXTcjPALkCJN1Dg1O0NHsH73c252NR+m1yKaGvCth1o07SCd4iGL4dPn56zAxCPLY+rhf9Fy3bsSlIrOFgBh0PG+qx17bcKEL7d7uyNVHXl1v032RhrZmXEpV2zhG1930LRZqv/yhKpcHcge2vgoth31kH4TyqCNelG70gmMC/FGOmKl40C4fNYNlgf214RvBoXBpnLe7ocgcfY3zqoVjIlb/IyZmtMbUqxiuxrT93+sMuwju/GcBb3X2+Pbu+kFUtDBfzBQy0SKpQX5A73njmNtuWNlBweopWDRPN1VRTtUjcv5E4p7hNnjUUHmuKT2jb+KR4YDkp/IqPdLfWDaRQmExpj6hpKrBADHl+fra27eV6hVfNMv131chNaCAPSsot2fcw112+eHF2eTF+uF9OnrbZrI0JeC4nhq44NJx1u2eX1/XZuAiZmL6gPUI0m5XH81lDaAR2FDiftKxnZK3SVVBdKxLbDLeB82/PXqRTJu8lvSTxUEsiwUJCX5gS7kqPNAyVUSydrmksgZ9/gQYd02ldB6uxa637iV6Xiw7DtSdb7vv20Oy7Fvs37keJdkgeSDpE1VqKJlC/p2NP+E4JGJBjw+bZTG3cMuRa155KZ8yhR54PgkRr5HVGvtEWyqY1vXlrVYOjUn0TT4gnbJXaoJ61bzQWTC760WUx+LUpM5rdceyOGSSklLzURv/AhBR0fKP7K380Gtw1H7JImMirQhZpd2lTce4tMRw5Xk8qjjoCC3A2V81vjbca0LvGYE2IXykZvb8XtaenGPLqeneH5nTtrb64w191Z39cdwzF7cnBYGhtm+nK1aqgzznH7Ts9rQnR9tuaDYCl0kXzNz2TsADbdnTK07S7gbUKzaCBbTJGvG8/Pt43sdnRCxazFWrT/RaaoR0l5wMRIBWxdzkUawZo9HRiadVyYt63zWsiUCcZPNZs1XwX9h6SY9s62Y5MkzRNsuJFhFMPLmsJVqfEYzT673ah/jtjmZUbDckMRNu1p+bnvvNi0C0942PnL0azsOZwr41myWKhH1nAPFv4+ZYw/FzoGn/5hAoM0iwuJ8apdvwqLkOW25jBijeuO/LtH61n6twcirNJziB6EP7XnpsSrSzqEqGF2oVjFylwSHVzqMdtgPkrHUczovwQB2/9ioecRgMrLaIkYNnBAg+upBXpzla6+INwp+OYl/7yweu5A/ZqOoaiwjPHD31zanX1tQlTzEMaLIm6hWMIZb+6RJleSFFSelneKJycpWWpXpQtClM3OiFopjr2YuXgk2EH0KOjOczCtidiKnxCSG+xt54pjsrZb6/GDF7HcOrR+H5VAJqdSuY6RjvHtyXVpG/5V0CXpZ1eVpV9MhxGitmSuduPCQ32advoo86LCJWr6nZoU3F4d/TB7bVcZkGVRxvt1AMjC7D2NwD3qe4GLnOvHNicpv4bsCd7S4hGpovtZlVlhG6TS9Phohk6gXGBR3qpDRTUsczGoiB9ghgVV9K7zZKWRGVe8HFECDTMBiAdBYPlOFjnD1Gtu799RD558dZqohWzaoQ9r9FyzGW787IZzIxeO6crIweRSu8+DXGf91TDbLXMTjJQk6NsQPcp7TRpsckwR44VmvCep4FYAiVpHCqbJgLO5iv5z2JwQGPtDHrdxWLVsB1OdBNugdamAC5Vad2y7fyh2Q3dlVN2b9jzPS4vcUGc7C/fvnOuYLNu7QWSvg3KHMd4sQl4yJWzmafPq/aeDg2Zb6UdYjZrG8mTfmniU+hTHMrsYrtSaT5IWNIVO2n0REiBA5DoPqk7Nreg+f3Jntlao8MM0B2MgCXtyRkLQOXWBm5xzPY5/u25Z9d2fc+wGmEfW82+ue5J0emKK0Bk09zV6s4fBEPAavj8dU23PWzYnw0rsQQhB3Cofu43XigCaIWlJ2Xt9SL8nVolhLMR2NHD0tbr4nTP34PB0v0RQyj9bZq4oIGjCsRNMv8FmqNSmumlmXZHwGDZysDJ7qS/4BS0oWaqNI5CiZi5TQZYCebkysbkArIJTvYN1VBYinb2h4wm+2q2bHJKbQus5EEByxq1PJfr6v5sMr28uiKKynINTe6sqfGfJN7rJWlSxny+8WqC2n+lT1duUwgmKgIDU6toChQn2CSN38A/X/2EDKQzkhrGWTK/2KuEdaW81Y178evh43jWwRKAKAiYsLGZxJlPGbe02i6ypIDFYokXFCWlAKENXiwe0wl6MveQt3PvWee2WI9Zhq2uiRtjubJC52YbQ74pWqq5J7klLSMQdqGdqWz6kzWiJnOZznWSd1vaXOxjnZ7HiluHhilrHBVO+/Nvz6ZXHDbyaQytoJiFfQ7sv+sGkdUW+9eOmzsllIIC7qOWPLa3Nl+t55/cs945syW6O6/e/2q9WsFmuUtsk26ysSHlHwIYdAvoOO3QsNsfnl1dpUWqmwzbb0wOBGg2azvmub44EzQaCK4ipVLdHfRPWb88Fx4KrhQqrWlyplVcUKqp8wlwmKUDuceQdvgIVAcTuhc+bLSzkisKi/G6/6LjzLxwYnbhkGRqkbyq4vxGcBzTRXa11txVqptJ3BwF3jroBr3kCJ0DQ7lbY9gl9n/y+G5CNqVL4XsTPJnK+KpNGeqNWW4PBguSLTwfVG6StYxKoOLURWRUN0ozPVPgEZ+MND0ejoDxDbJCQxmOiloUNuMu5IqJvTh0F6y94mW9O4QItwqZPU2xyODjaiZlBh2LSV2rvZq71sj8/POH2XyJLGTJdfDl6uWrl3vc6d8qKvrQOOuxVBS/O0zlpYGPrbyJs1Kr6X+h7luSnp0YxCujJASJveqCYZhQ7RKbKwRFg2Z/0UAyyEld27Cbu05dhb3jvGpHxd3lQlSoPP/9d++2hFhhOLPnXz5/URVEdGksH2z2r+yVNblq3sroNt3Ab4fSJgj/GxiFXaFxISp3dZacrcbZRaD1h8k35bGYucPT8Fhx60gX7qSbqHVIS7YDF3sOftB/R/CM+VB035W75dD1/MfHMQpSgz4mGaO1BtJSK1QpdXXMrh84C+PBdqYvO79i/qQS4hJ+ZHb71/5s5dn4GFLEpf6gSaGsOcBmiaed5WQMWb55/36TouRNq159HQUsYQU9h2ZBzzCDTkTwElraJpksJ/tkrBltb/VUCDDVxtl4dKtgoHWoNkmTpPAaHvrp9spx71uW2WNEo5yOvpS7NnGwmSTjRRNmQnKc97n3jX4wyBybenDtw+b6TlbSJHsTLwjgruTiSeBeL1K60PseBF+Tr1L9GDXeHgxWgj23EnEP1BqimS5NzGGEcFRfutj5TNL8//kFOkivN/rw69gGkQWPW+vRk7zEAc/4e+Sgdw2/6WLsyjEHIYLiluxg4ukRhbyG8M1tq+s2XHc2xZEmMj2rGXLcQJV2Lg2V1VbEKat1ZaqqSMVn7Fq8qwCouMAOrOvONFjVYrCSxlF5D28BRAQKc2ar1dPaOre8la04myZuOHY+is/YMfWgPxJ6zuzx8bPRhMfSiFPm50+fP/6sLdfLnNjF9L1j9K5683CJuX75j0kNw4CvrF6nP//rTC5ydBrt1+bqLx5KKeBGrSVNruX1BKeRz8eWVWrf/q9T97KyjgxXcizOCg+SY8WUE9H9IahIoxa2fE1gnQ7ijPP1WvTfuckwGlmBvZg5KMTbeHzGnhYToyyfgZhSK4OJLuZ64VuDznrmQi08CwxnNx8cc3VpvR1dvVnMZtOHWwxjpntWs1m2G+If6/Wo1u6MmRng+m8ZMicIV8rsOB3qd0tXW9XuR7X8YXhSLvwuR5Yl2Uvn/v+Pvff8kt3IFTyZPrPcrWskdbfavXdm1szu7Of9/z/u9z3vzOx0v9dG0tU1ZdPT7Q8I+qQJMplZpe6hrirJMAACgUCAiCDCjQO4U5FOT6rzEuW8YfXWHT3y7sz3DdpFU1mKHVacgSFtV9N+EhKmUzRE4QomBN8LhzuJBZNcnDS/W3njq1FYtXksKVpzk+CunWvMwIJKeeesZEk5msouzxYfToPJdTC79ghbjxQE+4G3HK1/nOGmyxY73f0xY/50VCWQmUW4Yv0mPmf2UZm+S8ocfZPv2DMxXqgGVR53i6awOjb/7eT+T5vL/XRwHfKmKfAyrBng6ZUPQdjtbk6Pl2+/GYxsfLZBA6ulroax4SNE0wukgIF7/pqlRhtQFWU6Nz2FF+6dMV8oFKPxpwUg2DwIsixz4vS0qPUdXw8Ee+W24yzvnkdvx7xCy1ecbK5Vz5YdpIbOh3KW/p4+fUJEvv/d92wg/PP/+I+7r3dYSTgTWCwas6mVyHme9+7Du9VHfGi6Oghu31mtlt//79/f//lhxgZ4T9T0cpAqethg+rFoVPXQIc1NT7A3F+2tRCQDbW2sVHgyktOCqAhtWuP4tuPS4J+BA9wR7+Cb5eOOz4LFzCIerVBa24/BlnesYCjhiQfP28fnwefdc/B+9pub+Q0Ar25uLq+vnx8fnr8SmzQywkwDcKFxU3NCDrmGY9CA9uAR7WHqnuJvwG4H353zlV3G+1KF6HjOV0GuSFdFQMzO+s4oq8zngUZwOMo7u8PdG2L0OO6Po4s4gr80ah6622DcdJ5g0i9ZhAjKYIH8BONQ1haTC4bunvdXHxbrn3krt3hlTGoe3og4plKR5Ef0ZFVyhoCkWP1NuYGlFpXPznTZb6oWlbOdP/8F5V9evh7H8bmvbYc7rOdVzHQArWOg8hqk3XR8W8sh0A0yCuIONr/xU3mV8tQudcoh1aYKb6CXIAvbJ+JF8mmDuJQ9JtL8YA73siuI88dC0boypxqwZgN1gaVSQlUzEzayKJIJbF3MkvG2dy8viaEu+6bB5S+kMJbuMYNP0ElLameDiBGVnOXti0UMf+RPfzV7/nE1kw/6koYKOwRL2UU65apyy2qkafgIgr3DRzsk+ZzK4hOtwRkPRu4jY9iKJYpdjFQg8JdNcRxqz3efYqXlL6YPomz/3XOXz88eW9oXeqhKhh+8fDw/P8gu10DO0aHNCEIgsc9QvmxhZUsOh9viz9QvDUXM5T/hkpbNi0wed9NThoqmovl8abdt1+drHv3UaGMl0lMjPFZUVHBH+kXWao+yPBIioQQJYbvpbvm83+1GRDf7FpWQSpExdHLTpDcOppSZrjkQYPDJfRp+f/tHvGNJowB+Q0j3mzdP9/cEzeLwJrJESpHywdAmaoM4VfTixUMk7hghS8jK3DBgdDO7M8k5rio4HleEIhE7UTky7k5zRT0DBk5oCvetT8iBx0x3hrbp5ZQlvLF+YMzO2eDC83fhNJglOgY+jy7YNeQc6o1C60yTIS7bdsJMy/b2uxCdUihPGJrxVN7M5UTPo68EuxGGY0eWiJP0tRpMfMyFb+6NP76MNmcQhsp9Hi3/ikaMCMdODcPo0+uj29IawIvvcKfXoSESzGgkoxaOUkCtuKAbF7I1+tcIWejZe+uRbiZF1VUMXVMtDJdfdxO+GsHruQ7MolUWOEvpo6vhfu2xBZ4ZF6OVeny/h8HKy6iwGJXJpXvezT0dIX2B/IrTMNW5TNQP90+bzfT29poahATnv+12ezE9avjRKlqTpdn+XvZdzN3RbhRsRzRw8X76/LAZsFKX8MceVnVJbCmYji2bFJHmo3k8nEiShjdr/7Sf6ldbk+1k0hTSUBQvrRauo4GnDmF/Zf4hnh/fH3B2zZZVv2QsGKR0xfb5EW0yzk0nMUXhYLvdOETh2MiqMNxkQhxNh89fnlm7DL6wt0DD/XN89E4Mc/MfOEXsreUvRpb+NsxmacHSO6MizzfQskTENtbgi3oZJCvmOGTRNdnCp7in80HYIyKMBj6bw61K/KwZU/Ha38348HAq3wxePW/vvbfzb0D38fEHoj+MQw24EAyfnS/uKvj1mz9kraukvdhkt+/fX9/ePn79snq8I4ADEsMRhHx+mJSpusEYIAuMXFomEZYeeOu7HqvgRGGIO62KitJ0oahf5qcNVHGOm8zbzthtf0KOCb4ATOh880fOLnrz+d++8vLmz73Z2+Hqs3sVh1egDAYQJ/ett4E/XY7dyTQ8+HA4z4Oo8bGQo4nY3j7cliwdOq68A4Qop8rvJfKg65+0q6Tv5e2ivmiL3PHVHza85XPik/s43n5ZiPI7uDpJyQGUIxIYSEyuRwBoXZUmg5TLtJ2/MtWfl4Y6oiNjpq5Ir3nl04xhTiQy/KiqykoQBWbz4Wq5m3MC654TWGUxD54mtPEhofOMn0VCX7rbcH59PZ0vxlNmWu1xXCa6MdwgSmqV3khvjYaYZR9/+vz+/S0xAhirOLSm1WtzpXAKiaqMyptfKHn4iAk4eT9c/cWdbsfTxWj5ZTm/nfg/tvBpg522Kw2H4CUFbg8+hJsn92KfBgGCqfLmp2qOuu7EW3/hBNnmLfZ0IHvmxu+d0fqGE99Y6bm6vuJgnKenJQs88JbIZAQuIzDsyOdT89SkKycuTsVI8Hjn5UwYTpab6fZ5LxxNB4+fHy++W6w+SYh/b+sPOHJiI/N6XA+B6j7Np1AScG1vdKIrVYltITWVLyFWbazBB2f0Fb5Rv0YImqCX55fgzBVU2TvWj5WDqFbieDFwt56/3tyHsv9dDjr0COUzCvchq4HBxdrfctIS9ULcV2yOfjP+FjusACf7iIp49+13N2/fPd7fffjd9cVldLRAtszhfbwB63BaMXzJqrHD2pUp2G04rnQze5vVnoO+0N5WLa9KtRJfY4YZTSpAUjbTLHl94m22/Qk5aQD30fD5r+uLm9nNv149/Wkpb7sBMe9yeiZAU2zC+Tu+FneD8tMOD9oQibpogglu7btyO5Xvslcf9zKDHHOpuimML2E56bWK1xLnePmXRUXgpRQCEtxYJi39i72TCTrznRfmlPnczyS+tHWVE6Pcw8kZbuZ4g0bGPNjNgLXR+eiazZwTMb3hZECMFBxSw8zJBgDjtccf+JOL2a/+07/wRXenTyyFNgOWUXH35eHNmyvf85fLJTYAx9Mex6Fs85shQYApJCzSnQoB/rhtMLkZr77svvlfbj//sJ238WkLnOoLZATAH0zdcCd0moLEZ5isZXOEPLKl+DG4nVwkueXABsPLd2/niwt/uF+NP01GCz4KYy/LfL5g0zGmldlVgx7YYWjtJmxb3u42RN7gHcRgKQcbp/KqKcs3fsiWO35HeC4vh/t7l7UEF4c5mxJ2ROsQK6JAp0mxkbQYVa+/Qk/PRkYjfYYD9Lucb+AE74IBNlZjrVMUiA1cYNeLoS1y6U221CyDi/HI361lyZDgO2v3u/90+/jvj+vJHbttcPx4A85O8scXTridvHlzawMdo+z9t9/ZlDRl4k8Iq7wf0VBq1XBv744G/mJWcbK9PXFRSfHkIgxdhF9lSAyFOvuMdfmKVamk9WU0p+uDM1YIF3/9f3/6/X/97vpfLparp8L7M5T7Y5+Tr9b3+8l6Ph83uK/y2KTd2g6oKRE/9J7zWDgGOg+g5snwhwJVzDXpERtLsNfAjrOklpWVDZYqMmJYJ/w9HXZjUSkPhc+JRVVoDAVO/qVJAeXhI3Nnt14+BNU2BdS4Yng3oSIiL/+1ubzB1dvZ+q/e5XzGmXhsRspGajCARuHoavzBTOFtQOfKmn4kiZv/8f/9OwF4WHy44fCCYd3rbw5EtwdBHCkkOJMdKQgYR0aiAzjlaDYjAgXRdTm7eMhRWy2upjne34bTi7H/mAsDseDEQb2g7WrS/E4/mk7evpc4ZHtvuB2OXH/HV18mNPZUT0pjQqKhLL7I+svVJY/4CPmey1svm46kw/jlRTnERzXl7GbOOCF2kR4rt5P1IVcO8IFvrB9PVLwM3cf9rZ0g2oFWI+OkNpYQm0ivsID/40skZeC8D4c921jWDFJioK6fKcDnW3zO8NgM8Vkz79Lt7nrpSZjSzZNz5++9MTvUfxXe/fzE+bPI2JvRLYMoZkYPv/E7CFsUzSeEjZar4VTaI6VEsBmU7fa6md1qSi0FUppo+K8vtQ00UN1IkYhPVoZK4ZI4HPvbihNyqqpw8orEKBRK+B/NAD+vhlcPn5e3H66vxlcPD4/Z3XX76W566zx93ly7b7J74avBF3NMO/oSP8MgpT4zxoo4M88JesNRaloPHAOlWXZNn2VwnvuWDTd9+c9oC9CYIfCU8Jehi7+EeYKLmyor6sU5oBxP9mIcwX874ZD28r+oIv2HKMqYEsXfATe7rBZXM7QlqrXqYAjgzi6ajYB67EqytJAzhoO9+2Y+/u728mLRg3UlbU8UsxKhuFjqxFWke4YooVcJi/hQhPUOT2zUkGWQJ+/y3UVbbyiwCwRkWYHvhyP8sFyziW3vR/EOYiL1sCeTAHnz+TyWAAdPVgEgn9uT+OHbbyZXN0bhFgokLOJGBMgP9898F8bKO8EiWC3kNDnWbvneNj4AitUKteELcHik+QA5TK9KaVG0CkQ+3dhY+bQ+noRHuglBzZdIhA7eX1grXA5CbKw+UHaDYQTwWL6KCrkkbgNfo6eejMl4NBsO7j4RgzL0n8Y3w28eftjIQWrh8Le/++1idqxaOGiwtIL2mL2dVTq/rBYVSzgAKG+/5zMWHFeRN/egcpxQUl2yKpLjWvyK7q0eAkqYqusqEcqASm8HGFhuxQ73AyFMqmFgmXvo4bQk7mccvbVhp5Q05Jtvv93top3cbuiN3znuzruANZmloQSU/U0kf22UQB64jDQu6XiRwpYTmallIOThNj1ZDNoXXx880sDKWlS0hRFljCr+2ttt0isvex3KVvOwtKdYhS8SIH1VNSIlw+zYhotdxedrE/w4ww/TN7PS/ad8lanrWTIGKi6WmFbe/fPyuSJfks3LLocbAoeI0jXQaoAcZsGM6TezNZvIZDoUo0rZg10hhxY3sIgja2bs7eW7ORbGnO399t137zi49BBLbUrdRgPoQn1xmnIthLpM2sC+N1MCHo5ZcQwILyN2tjHsCNd+OA1gJn769Pnp4T4zr8ByYRE/CYu44d2F1aCxi+km/IMZsi9fwyF5e2K9iOkgei/W3Ye0AqSv3jwEbpPSn40VsUjaLzyyenXp2caqHGQ1nIBUSO5SMwHq8ZZ14QeP+K7yq/bs/NsRPVR8p8vnJSvGHIMzv8L3PHAnx4Q5SjAXb4xdJexvrdjhQMoENrOza38xEW1TxNH3s5JKDyTYzdjkUVVQoyLK0yMvRdiY7XcVJxuwmFiTgR9sBtvd6v7rPSP/23/9oB9mcuipT5TDKcfxHfUld0y3dpa0P+VAnFX9G5fXyq37Og/XECCDIOmCfIGyp+a3IsBp15bVPksaGr/VGz9WlPFRGTdVwaJ62bZ0ZhiDqVC3+FzIbn7U8YmsqLgIW1SAGsyFZrDFEiI/bjiaDxl1DL9itnlmntGgfzxViS+6YHC1W+1qDSwFz8ivcIWUI69OFeboNVzcLIaXnFGaGFXVlfI5fHpLPGNYyyohm0C9lT+ZjPxRa7NVK5RzD8uKAcLXOnnMbZ5YnVMDi7F2fX0zHS18MYpiKxC/L/uw8pYxPl8Ciq5XK7E340vMJGWRiFP2ugin06EEHsRQhEwJeDoQI3MR4s8YYXNRk9VUV9Kz9XL3ArI6Ny7aXCIu2faXRtHQtrWi8hGL4BY8ykqRLcCebawuzYABcKB5yiiFLRJxE2yfvblT9IayZDyeczbl4HI+JWKSs2Cu3qER+Dzs4na2rYojUIrGLtFMKK2mlTxgXplCdiNOhpzEmH5dni9ziifhonmBEUUtTzIqOly87YV+GnYuB6FaJNGrfKZkCs8WqRuSAc032+wF/cuf//7Nb94PrkUjja75bimQKBX9RSAXETTDsJpIIU+HG39N+Vzrjnsw06TqgXoKIjQdR8txRPZc21hUTADmgqfZhT8ee8b3CwUnc4OaU9zIvY5PmGMxSpWFVvJUyht/7S+u2F9T1xH1uYDlCwRcNQHHhlYHBmT9iZIs9muz6tCV0qmJMjQxgFwJTQCT5OJn97y5vOXtu9SIqeMMUUY5XxmXFQbWeI4R4ayennPBJapJyeWIWkimaN0AACAASURBVMklJA90Jwd+YaAkKW1vWLgj8Bjj6Or6RiwpTmbm2x83twGWEJEJ2NVy9fGnnxhlpMgxwfGVFMjeiIuGMKu6PEwLsKKiSKe6eLp/iraOiYG1r7NgkNQqDmTRnfLejIOKbjhErFo+mg4jFhmX52FRq5RXYGOJdaizixXB2ULeyHdmvvOMf7no7PHnDCx/zBmVXHO+NmVpIfj649NkNH1+Xj5u7rJwjrqPu87okBpNUo+FRRDH33Oa7+F20vqKJbkxSSVZuSQRJtHbwiNj49jWzIGJH+SEnF3VBqxKTUJ8UQOAEmZ90DwSg5CPV7i/vJn+x5/+8uGP73asD2I0y9YINkj0bGbAAlEGh+pA0uSK9LaO17jFff4KAWrFNQJtaLlZU2uEctICpjFZFLxnG1vK+KjIQtcn1xHvJVkkr+xePmXKyb2IUeNFGSNwUpjqWaOqsXK2AMsD2cd297ILezHaJx6Rw9p66PVhcjZF2uFNZ5dEVKraN4ARJlSi9mh11YaeLMzoXlkUvxfK2Jx/M/EXqN/UnNo+b6/eXOzbf9LM7itsCznveY+BNWKH6OqR75nFiVFCSW2SVijrBl7U2PbQMJTrQLPEiNvv8uqa8U65yWjOqW6b7TpbZ76YwSeYc3d3//nzZ0YZjjMeM5+EZoun97gtx+sxe7BIAoLzaXwxmAso3/F2/iyIwBJp1mENtlaqQVdfoIw7KSWHdwC8+O3VjtPSLC8IkJI1eMyIk0VSo+XVX1XV1zVwygnqwcZqjbNIifZCO2kTYb8KdriviDarl/S09vVu7E7fDvbLYDaaMOIGN8HmwVv4izfBzd//2w87d7V1iF+77EWr0zcGu/HOdjCwOMjL2205l4FYXYb+Incqn7vxXY0qIRuum5dhRSAMbRgLlYQILEYi28asxT6GxQEl5hZFwXuscmDghf7wlnc05/nn/W7p3f3wFI68YMZnLNJkYpONLHYixRjsf4UhQoD+i24kTS57KEeUFERmtNcAafjkAVMGw6Wm/qmz0PsMBsjgSgSawcY7zrn4eOomNsOXjrT8lEZ1FhBlRPKjohaJW7cB3kxdc4mQI8938ff8FcWT3QD0clXPDoPZ7HK9eVwRsb0UDEJCOhAIoIeyNq/KQDMcgAGxCImmVX4In+IC6bAk9Pnlm4v13WYkUdflctceR1BLSPqWl2wwwpoiNMGemM6jfeju1y7xk5FhgoK0A6YK5VB70AYJZA3bNBxrO5haesTpb5vt4yO7qRhlDHkPe/75+fFiQXAH2dmG+xDWYbn+9LeP241si5m+Ca+/Xfz8b0tMsUaMhDEerfh+UFgOgqi85+DMWOjSJKFQOVKkEEGnFCydVSUhMdzSelWJA868m7+dh1/j9dCqgnF6TED8LL9GnAQ/fSBvMTr4siV6vMfGAmH/3xW2IZFmIiewwqgZi6q4J/3hmklZZF5GnMoxBwMPbvzheDjYinr3Z5zQ4E82s8WYO3+wCJZPW3/nPPiPxAYhYhZRQ+IhbIGzokiCPV0EryiZS+Yl0N3rkYI6bJX+KlHMVax5KBNZ3sHmHybrux1n8wl7q1UODVECQFBdqAw7tMv7jTahLL88jeJu7MHi+0HBKhDYJ+fNrofu0r8dvHGWRP3cbDar8ZUMitGYgw6JtN4c97UcZX2qahLDQm1KOybUw7bMNWPdyKQR6ULFBgPreGku4LN8BC82Mn/5lAkLDwXPYChtgCXAX3SxzEAqa0cyY5EZj5neZQ057gyT7e3DB77wL1MnUYMkEIZpZlkLozSWrsKBxMgpLYO0oL85vJ1v/+dzDq4Kh8QXIGk6ZQvRdqPfim7XU41zaXRDVZu8tX/z7cWTs+SYPIOLmA8P//4zUe/4aCaPvaZRUpB5w/0YLjj2nVMXOWiGYKv7cbjAnuBwrpYGltFodHfcywklsp+pgZCkbMkNjGNBcLXaXFzgYJBwsEyfy83z1eoqKU1csR9/+EjQUZMiZ8P9wRnN+TDQqhWpXRVBZPkgxOIcErqddo0Dd+svRukqZIL38CYeDp3lMQUJLx9/fnz/23c/f/7ZHOXRKIRCrUxsqVmpSpYuaUtP9w7DxoLyd+Hwru3Gu+44U6aZO7WxMOqBWN9wxiWXM98u5F0jL7oc0Ml+9tE45Ag7sa/fBETEvRot5Cjot956vbt5t1g97IbP+83S2+/228UOMyu7OFUky+KZdxvI0Ct1UdfX44Ue84qIesxE2ZIAoW3S/ny7smWs76O3Ppo+fTvxBl7wxbhL6wBAANlCQysC+H5wX/71AD1VdemJr5IJypmeSMY9sXB2o/3Yn0jUjW/1LeU5IEQOXzZB0WjM7gU+caoGWoWsLl3EiUt6MFOsNRMydY+8TXoB1hT0QJ2Bdc71Qbgj78mx+EIxw4CLRcCaJaEj+fILqg5nkldso9xZBIvm1JyYnapNWVHugCNyGFXUZMBkPVgVpSSqO7bJaL70PN84qAGLQMuFSgYEK1YjLLnZ9R9/g6XFfymowZC3rtVwuH24m5ce55IWdQgqDeB1sGNzthnN44thsAyHl3JYcttrTHAfnVrkpZEBxzF8ftB+m3uEliaV9AVJmba2ohDmGf/odrubEpyU07bxY3FqayYIISPx48fPbGwnB3GD0ZxJ+PRp+/a3F7u/7jjZvhVGU5hlTT59ABRdFk4Cfx0e7s6pBZvjRNfWOxwiNL+csUOIhYxwHl5+c/P8l8fKc9Mi3S5qVGSPyfCFri1i39aP1ZlHFW0UyZGpPdcRpmzMJ5n4Yy6VoJ8GU8bofr2fDWeyE8vzpoSeHQ28C1dOLt3i+CWehwCjXOBtV08cIrDjrRsfNrtEKuhqSE42YNkoTqj3ias7KhwpmKKggFo40tI0tcWdtE5qUl0nZ4bf85fV++/ffv50j9fXBhKotSMEik15CdCwr4qqXgkhcV/RIUQ5UpJDb+pfv5+xoMRJaOzQQgvLwfYsMdGB7Asdc0Ka0GZDVUOZGAqNLeW0pGqZ8uwG6D1kG7yFjsjZ4wUkJzWwoAP4yVYqlgKhL9lHJbscMztgCoT9sz3CK9ltNp2z9AXb1KRAs8uv/LO5jpbwowE0UJl+RVhdEAlh8zkRxvFBY2PxniSnt7icwqKH8bGeNx4tLuaz+RTRyllXMUxs0+cNi8vxc8UvjqY9O73GbE2PikroJtQS2zab6laAlLG//xTMxO3v+M0kVIGhw8sUlqrmVqRBT3wN99sNYEGJEwu1SPrQGbNmZ4hgJH76+Jk1RPNILkGw+Lv8HFzezvwugcZEmjCwCO6PGuaeTyAHrpBjUDT+VSakpWyrpTXSuyErV09rwsqTxLcC3/zunVc4W0no4jIxz8Asl3SDLpOlgM5+hx9rNQjxY50dc4oQLkinxR1nGMVfYY9cqqbS4sU7en84D/211Avn3v4hmI2n2PbDq2B9515+mKwe9pzEotItS9Uc7ufvNsunp7v7h6enZ5RAEaLFswkx2jy/yJqgy1eNi+mQL0BqAUtTRUIqrwMJhWOYlsI3qVtQ4+6jz5ZHj3MaFy6us0qomQwBYrcry+z+DEu3kx6QmcEgIUbN43hKCElc8eH+wp28D9bLzfqjd7G5XOwvJuziuBptVns5hpljG3h3Kl9vyAKuvVeREkYJn+SqK60FqNH9dbMOulWeUmhUtHCzzoNlBa9NIUYIl7Zfqomd+8+0lcqeVbDI8MpUoc9YQdvvtpNxZz+FPfLykirYog7Ks49OFQ8WsGVoiFxy6cgSPpibDRM8fPCc2eVw6e2ux+nqlSlv+RdbDH4mQlhaC5T7Fd/FDN2NxxKjEMP0Ogwni/H+3idec1wrIjV+bPjl1GecPRguGDENRVtmy6iWf8rA6rrZVqsiiIoO9rvVnTu7vnam0/Vme3m5YH3VD8WiAurnT18xvApQxZXlDzf33tW3V7sfZIYsFGh+ZG9nvL1zvJpec6p0m8t0YrYVbWqnZaH8+evT9GriP/sjjK3H9fz9jC1ZpEedJHzltqTLjI0Ve2hSmBZ37dlVBtT4sazWCvtBWEaECJ3YCvSFdkcJo6rkEkcuhx2MOGCG/x6mOIzlC9M3/uYRt+J0t3Inz3OfU5UyLlL9cC/0NjizOKyJ8wYWRBNGS5RTlklNRDT2YNUZLrKA4u45nXo8sp0iVRialguTYaL6NENd7pbTZZ7unq9+dUFAutXfXWefKJxcscMH+C9yKz1Q2gtSQw6D9eOBlwdRIyOYU8kJObPZDPYEb9zBzF89uhfX490D6ykhhz2zyLt53l3e4gvANOU9lU3ctsRnaUk6y4hUNqvxXoVQpo96PjTCOaaA0kBnE7C54kJk4WFFpm2ysRJoqrZWhLbVVircWlhgtshOU85QfhrYOajwCr+LSaJ74FXyeQE0qAbRzTfJIEhucmBO98CIPSFKOWuCWEh8PWyWqERkUnTr1dp1d8+7u+vF+832fuciFe87NDWF2FSZXflsICAmhNkWhEOM75DHk8Eu8DgwptOcGqMM5WtHnbPjlJa/iAfMMXokqioLVtyW9lHCSVOjRPNSYsy66OOjO5uH11fSBbjv2IwVhPd3D8vn9HNuQCCaRAFiQpsPB7u77ff/5Xf/8bdnNru1bARxeMbhVxZ9hW4JhWXfNzEmaBEhqZ2r4rJ1v7vlfvrNmLPBWaO8+/Hu9te3X758sZwWDA38rUNwyrzu+7GOo0o4L31G02m7CF6XrpgH7gYfqHxaKFaUykD4OJjyuSHeTX+EQ0us8APZwMzibWu3WnIQB6cZsvudHfBKUnOrzLzGTFReVB1XeMrYSHCAtrxGkiqsgIjC2IR6pUxEJJGTWtCsUD/+/Pz+9+/Wu8fDtifoSm+0Ow5pSMvyrUrVCTnaj2nJ7J0XvxPSipmckDPwNn5w78yuJxIhdjgLbr0Bh8p/9mfuIuBQ0XFArOLZphjzLAuz9F5ZJVJVmmuf2MgHe1BdS9IG2RJSfjHZdzBu4A4VsQYMg/jbyqIqkMICohwF+qIXbTne0CxtAbwCOJfJBUuNP4/CBYmrHaGlCI9N7KJArXEiKrCClVBuOHyCenoj0zmnC09nk7X39Lj+Oh/euKP9zmU2bPBCWWMuL4hnm/XYfXz+DEtYk/kIp7ePZ6e8hnUqZ8NAu3Vxq4JCUxakUVNS1bDRBgjrfqGLK4tgFN7kRlY87r7ePT48C4TIqArZryrfEajQUsLfeC5HDBIzrAVTUjpTKm3oKy0TNbwF+gMwsooxZDmYc2nD4e5x7/2aVWScKpYeNSOJeXv3AEc+IeVAPr3jE34sOr/Oj9UbwqjHYDfNzs/Hhg9o/jav5ZuBs8aszVmzU2cqKyuAr3VLQQqhEkIsNKws9r9vd5cXFzhX6ocWahZCufg9ZDfTVeDtdTN75cx4WCuXAmgxNuVTGrge4dDEXLGmh2AdeuwPx9+e401TtShf8MGfUrSM4OoTcirhpwHc5RB5oWnhXdBN4YbNBH7w3g2IXvbzgHMJB9ilT4iHBsuRLZslfD5EYwSLwpblDyGUpQiwBHJZgZOnVYpRVfcUKKKY2AixlUCDjKFQKNbtEbAnMm7s6aGBPdJAixJtYniVuKksSEoHrEXhTJHe1GsGZt+3yI2AVPnhe79ED5LGV4EcXTzjzIXpkGWBwWTkeqc3sHi/HfPJcTxb+M70chTwHodnR9Rmd57yTeXF+oIX9GNYiPBkRyiwZAcISTq9kGun1ookAAeduXt42HphMPV++uGjMwmuhxwlhtMtnu5iwumroTN6un9wMLDK1xyK8Pt9VkLgQ/Q61wa4cfhpDThFcAAZ5NLXWNLr9bKVwShSK/LAP6u5pA2dtmWbbSxbSCXljFCR0SRXkq/dEY+aCFgsMQewxyEnZFXOQQfFSxKgbcph6hy088xr157jyTGz2LBaUlSTjOPKqJdcGZbAvP14yKHsR9Fj5nO1rtRLLeOwsvk5AvIPbA3cbbeyYBoPu3x+85OqAOk6vYnKI+Vid5WuTVWTSSOS9cECb6mEgbxbusF+dDlK/VUqM5F1xX2WhizpWszI1anGjkGtNID5VFiyjcrelwtTjWUDoVxHWAlZ7L+AexpbJRw21Bte8dcUZmDXuKmqAEKAQIiBxMWAeW5xiVH3/4vXhAVkNq0DOuv1hGPsiCJxPJzwbsyBDBOOKttztHGQmPXtqanTemgTsgPO9pNP3NBFGsHLHxBTYLfyh3i/PVnKPEYqTIvak12skciVsyO0lrxWHkNVAh0fFS+lxLAZXnqTxXC8ln1wSW7+JtxviCJfmFDzRXJPVXByhVo90EVlk3oZDB1F0r10sMx80cUsJquhGgoftwPn4kmDWk1skb1rMyT754BpRqWN1RGhES5pUSuh0u44SmfG3dLiFwHF3+jt2F0tl3xmeLFgh8khCDqaRDmGJ3OhlJ1AozAkbxGZXKvbZIBE4qVCBgtl+jgAYNEj7IFHDYr7qrh0cQCtLkG6LqZB6JB4oF75ohCWWBUktrebVjA65nGAhmxhPgGtiTljKisZEQruhRi9snBOd680gPbcklkigjQS+ym7Ppj1u5DLnNfG73I6pr1SyFl20a+wi6sXWhHPdGymd73AfkEgMtzQcV9+/vzumw/QwcdBvL3h9meBeLdz//DH35I4GnD2O2FX3Jvxhw+37D3t4jo3A/uwqagP4S1AJ9MJQbTmnFPqrr78ifUwdzjhgDR5k5RgbK5EFngMCI14CORMKXEbIFhoVs03CkcXTsl5zN1J4pxWAl5cDvefg6uLjKhlbg1wd8+qCoSc+8oSUjepJzMfBIqWLSWVDfusGPHtQRheB+vH/ezgvLzG5lG1ky+tEXCLAthYfJpWt1bYBEyFC9Yqp0S0StnVACVmhVF62Y5qqHhkttn/7m5WruiN/WIxw5tlXsMSKTCmldnnDjrRzu5+zGH00/KpsIGkBK4Ow2Jh4SL2TZeXMZFG3i0JTlG2lFlEVPscUaG2hQRo2FQFaKiEwruvmXjMHtnKcrUZKhUiDNxw1ZY9UaaiVRE/GwHlUmVMhFiTC0fOb1G9hh3ulv0MozBJE3bJmD1J+Pucqso91BBqW64GRJTV56CImSXjDF3C5OQ46/v75+cVFs56zQGvBKAU15GsTakWQyYvJ29n88Xlgq/cLpvJzZdI1oSSkU1zRP2Np2O83ryXzedRCCjl2JZVSj989+bby8ur+48fL+aEzKNjQz6Zce98091nG6Uxt3S6i7ESumn63Xj1w35hu1soz5H6p0BjMQw9mJIWPJAlvod0Ma/oq0L41bRO9u6gfjazzf0hIDOVIUkCJuaXSlfS4ZUIgIbLCnHwbrw9RxrdD+WE2vaXhS/tkPD2aGprrGlK1sayQhjzSyc/GZBHX7HJezSg9gCIBgr2/fo5NrMWhCbFyjGQzBIhsXR5JNDL0Omymd3wy0661GVi7LBIOK2axPkyohWxivpZfI+0BnzgLbGEgmo5gWo33ndKKMFUVkqglCfF7JIW6eA8txspR1ZMBIkRU3LZPT9EegQWMGcwh4HSsCO7TNMzTjtwr2GHew2lhl2mAEw7B7tiHVFD1YmzZHh01r/JyDSKSf7mLwmuxATHJtMwXMxFGskXD7fGC6X6r7/5Pl+j9RM9JTs0J/OxuKkW0/mUR4OoAGs6nn//4V9ZKBT0Mw4m3A3Yec80vBKbr1D4FI8JuwBeqggCOd/Pv/mXxfpvu4lfbhCYJU59s29Jo3b1eEJIqGrVC2EcwL3jiy/5gKuUyJZYjymuDiQjn2I6H8pXA3BicW3Y4fc4ulmUH8TUUF+zLWwsGzBHlUnXCgsBvfJQVcBkODPrnaLvgGlQnAJ4vinFJ+wZNbPczTMfGbL/fWs2ZhkpRVd7nMzgElaXoV8+cIoQeU6dVe3ZFZlWsh+qBHJZUjD1B2LWYN3UDcCyqpVprItiUJbSUIPD6BCAQrs5IacSQSFDu18rZlst4mByzi8YCYEGtchDF1WRgGm+GWPHmNayJmiWBXEdncNcaKINqvAYNJU6Xz70nMVNVdMixFQUopbQv8lTVaWacVNVpTYdJWOtIgCUuI2EapvhhLtK8ad0m28oSLSpbminp8Trpa4vfrmo6+5ZePQvrhb/+d2/siuzNAypqW7+8jXCm+vb9Xqzd73Lq8vnL+vL/Yhd9oN7wpmKUrbrgCzI5ntITQo1tpewEU9fV4vJQs6xz3xyjkJksZOFTTkjaDSWldb186zxTOYEsd4M+ShoGxAJDH0c5aSkpUUH/mDsjifyFRjZcck0P3tXVj+bb32fA6QsE8QIGJ86drbzONZjOFpsxVa0JqS8YLWNdSzkcnxlqamNVTxLJxaxaDzWd1kKGpnyJiyUs05vbZHImAWCumHaaI0U63F3NJXPDM3+dw56wjXO+uB6vfb3e16ykuMcGnolGZJGyI4hSQamwdbAdhxso2u2ohK7hndOviQ5BmumLr1XcUJOzeBN4ovKm6YeQZiBWHJrJEw6vFqFmZzuo7UEbZckIQMiZFJr6JEu0LXOmMUsY1clILDqCylJ1jlvTD+dE+MhLiyqZKckffCydieyoBSeShQOm98pRYyqlNDjBbdWDshkWwD/mYs7wR7rRL7cJto7W7Chh+1V11N7z0QEAqWMgcVf3xkRGWtyM3IDzhA0/WBmjk5MylVK6G03zvne7fLtLPjBYWWTpTo1qiYYVfPpDKkFqG5l2w1Hw+nlzXa9nFEh5kwOf9kDJYdfx4Nf+5yJU5YfpWGoXuoBgtVWRU3tLlkqWpGEcc+ozI4HeVJ92Q40Bqr5YCuy79vVPiwNGTAwT9phqXYp3sQbXw2DOwKAiwN17W/5CmEWVsaS2OrLebwfK+35rlSF028H23tvvLE3sIwaoI9kSHbF245Lh6V5z4JHRH7ythL0ALNlzmtS40DQAiJgQMyJ2CGGVilGPiPApTVhlLfwRkNOlh/u1/54kH6aV1rePpFYfp4bncdgXysxsGTfa7XzPmFppqMjAajCRckXFIyIKiVXyOC5z46OwBdHy8s3uKo3zpKOccmVyIo4kz3vNBuq2rUHkmK7Ja1YN0zTUme4y5CGnGZG2PG48STJlKneMONBFFaIfyrtpkMs+D5xPsnxQjMC3mWn4MOyxZSsVsDXBRpMjPnFBesNs/fDrcboKtZp+0wD4ipwq9u4DnfO7O3FZhoOF5ezqRxrnYHKhwIeBzOLAxzWDQfzy+vdZs2RyrQnxtzwi7uCEgZCZDI31AAXVUq5bYu0BkPaOvilSEoxKYQqMsrBI77D+/GFk9ltVl7QPhUSgZr19x7LAcILXX43v/+6mnKcOSeFf+P4G58oRDVwt+B3nHfO6M7hMzB74stLwv+Okqoa4Yjq5fS0SkVbUF4crRxnmuFFkXsqZMIqLXM8z0qIVMg13NiP3PFt+PRpf/vrxeZTOKu2aUqAVyfh2EYP4CQoKVLkQloEYmWHu17JAc9pNnfKMX6zXNUC1UAz9U2tGm5kyp7wNiUDJBnxOB5l0cBiDnsN7ivIwLg5vnk2EMBlZmu4zFVwU5FrA+TUZSDM2BktEFlJeAt4uaKxhQASoe1oVZQDnn1gZXbIWWATZyKxA7I55l76rHhJbNIrPn4TLw4fvbYQJOVZyjggEFdvt3cXVxd3Pz8SISL71TRo85PoIXWZlFgTkST0ZnK63U6G8+8u/jD4TxG1AjI2PLA/n55WsIuxLMfyUIRt6BcX7EbhAAvrLVlEcWwhdBAA3j5alvIj5RlNA36aU30XvRZXFyjLybwilGV3SDNkCOuP72pBH+7YPkjcKAnXFV7I8lH4xMdvKWW7+Q7pnOxmhkuKFSNcTtF85wzvaj2RKZTqOxV2qx4ohaHi0dlEKwXZJTFLRtqYWJupLusC1qpOik+FWQxW6uXEY++44w8h5zDOJnIczXA37mt9UE/IIQhODp0hO0NXsR1pgIbiBqxoaMLPEohFMA3PAkPh9QGsAVdNtsEOIT2SUTSw+oVe05j6LCJ686FtfZnOueKkyvg/sKheg4/Kojn6QpodDdwfL90WiLWImYNkHAjOeFidGj8rXMwrhGeVT/gqrkMuwBgdsBJbgfUByyYqa7P8lXqsD2JgYWYNhtPBJ+dqmluUaegBQ4SiF9ot6bArNmQLeubtNkEFuxg+MGA342uBkFDrRAZCwtmGQvgJb0gg/DWH5jYiwXXn/TxacAZOc9kIWMVCoXV9BZM0hKcsz+yhUEtNvRJzvLHVPRZQMlDW9oTXISfypO9yNPLAX7E2HOw+B28ypzciWtM3o+3TfsJxfoDJ4JS1QvxYYaWNtQ9dlh3rZ3LG3uaRNbYM3Dpi8xTEJWOG9DsOYujWv4aMXPGeh2YOdtUDZEg/ZdycnOs8+BBwcNN4PZ3+xtk9uothj+uDY2+7rCCmske8+J1WIthIZJxodEJ8zzwz7DjZUl1Fw0uSIcQ0spcWFg2sEoQvkUQLe9zhDjQxqeLZCMgFN9VLNLE9zuiNJ62ItqscGWmpY+4yL/ZgEolr47M5BnNcF9OKzekgZ0dRhR0c8QDq6Fm1J1yiLmCPYUWrIW31RqJTR8n8IauEeqLAxdWVu36aTZs+IYxUkDQAkk7XQaNJxn0RswtDcDIRE5DtqIQQgxYMRP6RIi8Sew6wZYvveLd6stn2LpNuCUtiZOW/tLiDYKZcK+VZIxVgDdi2QuQgpRhZyE5d5ZSePpW29OXVg0H7pTu+wp/KtmfC7E8H7CXSJkjbA3YZbb1dIEdnHjCres+7IytH7wNWG8cbcdUP5gM+BxkHObc9QsyuIB8J2jn22xhLuasMsRqPpdX7SEwkTaX0hAM03w35p7ghRqEKQ7iCSz5U9gZP0yGR50bBYMVLXXm1uHqb38GQ/f5tKkjZZAPWdMpapfinT8iw+IWKHjotmiYuGOxCBiW7NxjbOX/YM+++aOEm7OfITwZBZ2RiTx3tpnrxnk6aX8EQ1RFJoexNH1mfbQAAIABJREFU54GZwSRyJiL2ktd+s0EmlaiUFAgzthSB3TEa+E6DUzL4S0mxy4Pwm199Q/QbM9UgBck5D6UtiVkV/x4UmrJKuNtfXC6+Pj0UPqOBEhGSzKSmPEtJPQDWWwKbrgqw+CKYyySa8BPCjfhisRt/1Hwxh+b9m5vHzz9z9E+cWf1byZXyKsqQ7EJhXf1E1qjVXY8pIfT6/Pejp7/sFmE2JBfYz9EX5bzQVGVIDxMGypoDSeYfJsSI8/fhdDTL+veCSTC7HG8ftlUbybCx0PeHfizWGwnWv/rqsbIIqaPbwc3V5dN/X+E0ThrlTt3hdRAuHU6rcqw2Sdd1el8MScizuSlImtIngiGD90jJs0FfW0YIUPpEp30NOebaueFke29+rDWbYhWlRLy6jDZI86r7iuC7Zu8e1WdzOSU2rXXKu0hCQHEujKWtMe0VCWlJibgldDTB9ZyOxiJ5DRuwSlvbmAgjmEFUUKUswsp0e6RMwJAjITSS3abAge+kemy0AUvZiG0iz00NBueZxplpg+/99Ne/X797y4oV+9bVlsKicqVzZc1QT04mzDqf3PBVNgdMyGoHJ72vw/CtOe6ETizdvGXAxyyMf8sYJ6uEuz2eLGcsWiZiViJqTFxtN9KXYWmVBhm47LNVstYV6VA3m002m5J3VrIYG2IyTg4kKgtRoBSerR6lU6rnrYRtCFuTrEXobKhgpxFRaZ1J6MhhS3oZ2/eswhqjzv8ambFsbL5q/KQ6m08dWRamndwg7XGe/l6Gu5XHeeQ16+EbcT8f2Fiy5zsg3AZHAtI125/c+f82mXw78j9FR1F5jj+8DZ5/3r359cX+ycIiz5FV/hAzhNzTdk9G2FJEWcbFlKS55RS3Ts0isRhHaknMt+J/3I/dySx0vojjvDXaigo009+Xm8Zmx0dpvTi+KE7YAS+ZpWVOlAjBQFY1wm/vvdOCaqEEOqoVWgLL2FUQa/4z6WflWkJK/Y3OiFaONEpy0XgAwgiMKq564K1ygcxE3qrK6QqbZmbh5wdxNqfxXoBFYis/Rp4ba0mB8ws71tKXj/vhaLxdb8A/lPNABrxwx/Z0ca6BSG+3871gNBJjCAGpalicEf9WlBNVxyYw37+6vto+P1zMxEsEy2IGnnvZVLDTLnZHxVfBujLJs2m5gcXuxp9/+simtpbn7cXIrH5hKeyJGJuKrrVRlSBp6Ju4HELg7wK2yaUGlvaRrtD1qRNihJa/EfkIC0xIRMaysmh2LYqoCef28lc+JPB4o0gZw5Hkw0UYPmH/Dx2GSPVVYmNxDtSOyCOR43MyGN//afn+f72+364Hz6oaboL9yl1w3jrzvRUjU8KqCZHhI42T04z71ygx26z0Wtw1ENs/JTUcqMgahDPC0PvToO50v4q6lcnIT0CYipaXrg9Kb7LxABXYsnYPxc146TJwekCeAaF0GKE6FNfIrlJtcyhBqY5munol7qvZbFa1w51GikkVdzbm1PFuqgwji7cv37VFiuyey1WcSAIXfxCY2DqwA/iipYgsMMJX7fpX+f1PdXMn50Zvt5wvRg9yITCHlnfMpPi3to28wG2JoLOYPd+HC91GnC0uLM0+n/5eh0FEOVvaWdw/xMm+VBYK2buWzeJ8x48//IRLb5IuAWXzM/dWjMmUz9yqEyvVyOeRNm/rjwj29ZQ7BbzenZYh+eS3wgQxKZokJVbYUi7POLx0vquRX/OGDjH98UlyGDmh2hqbkbWxBPwscFd+djP1xJ3c/8fzuz9ef/nvq6E7GF6E/k+DBUvPA/EYN8K3L6DQZHj2BRZQBnsNwFKhlvJS16J37JuXlCxFmeQWb8LJZhpsGLuN47NYs+ZZnA++lzXKo8LVtMGSZGdFeYCGGnzxm1VdEes8eqdHIbFGWyxohApnng4CGQhmpMqjJhUr6HOqBEsnodI6p04sUMKjeUHnL1Yg7ZQlIr1Oal2dupmt4KsK0D2G2WrVwyMuJfqLS9WHvAOLyq6WhrhW3W8zzrra3fNi5ZlCOHyZSPJo8ma1ShbuCk4smhC3Iv5Nalbc8A5HDqI4ns7Z51VWyhZUWd3WabivjL3MoCi1rgzEQuRlrKuffvgJkwsZYDW9NVaLCipuaHIFHolb91m5FYkEMiBswWHEJxH40zS2iR8H5AshB4kGijJOc8XgEJoPxunQGFhIb/7LRCJpeq6eAQVsC2ZjY/GP/VjEsiSMZbhGrlOqoGH4PH78uP7wn2/chevuvFkwBSzxTflyoOlK4TSVNPnS0kqe2ICI+cavwNKrql4dccLw6t6pglieXoenvEYmla80cCgexZMMNHPLi9Z4cXl4JnsNoa4cfx5dhNmLb1/ml14Fcb886dISscBl7DFEZBTqbFo/5FID6+Wpj1sMJeZTc17NmT94xLVmLCpuDl0Rcb1/8N/DDiofHmjw5J+xp8qUdWdmGVHvXL3PipBSNV05jrtmG5YoTS4mkARvhmmZ2yS74gaPEcY9mRfXF9t9zidEooy6FsAqcLRJJnYFxQmkygBhqFf9YwAlYsOZOT+qdSV4iIqT4UkJ5jbNAQUaR/+ZSU5cHVyJGVsC3yKpDQkCji37GAq8rB/CbgvqEEL7lFKcwpWs0CrrdMAqxyRbSlRcxCF3NTdfZDBlB3NJqyugSPJmIDbWdBG4W28aROuDSXlkw//suBv3/fdvdw8+QWxlKU8mlNJGJfU63tBq+NCusmEcf80sp9yrh2CBQKDo3FkPqU2uBdYycIaSjpXLADpMphfXNxxtJcMy5XZekjI1k+8H1RGOtumTmAyeFrfaO9LxLer0WtQInUqcDDcbSqKVBRlRL7fZyNBtJjBDN1bUK1mv7LWDjgLGyI+nrINREXd1pH0P8o9CXKwM9BcT8QItqArEvZBoHsUk37sIlcz84lKRuT9Dd+a2tL5+J4EcchkEhHak4Hw+f2oRDagC9NHJxGhgGX27284czrdn+Eb2TQEw6Xi45AvLvfvxx4+EwooLsI8tvj38rclKCwtL9Ukmg4PXOMkyClFz02onvPPFy8JncYcolBIcwO2skEM4faQghNEMJ1yrMadKkBGJW1KlHekrA9HJB+FeLNySGtVJS8dz+DbwczjJbOZLivMV4cN/rP7z//2v9397Hux07QzwDfxrR0CCixtLUYlFTsqXdHMWYtd7XVN+FaKiTZQW99NW/Qjs8vqavRPebtMYCM8YWKBG49E/ak6ICu3K137qGQJgyjkpyUpdphlCglJCWiVbIgOLeYj5KFP55LdQBtKEdKYxQwBTwj+zm6qK73Smrv6qOQHXGHb8Y63K6LSsuHXXclXIi+k65ouJr+0ZA2K7XuvuAeEIW3QzrxDlPMKUYquCWFQ6dNQyk+VpI6VYJ0SWkqP9Fheet8Hrnm2ydNC5hj24+JrSYQq8f3r/4daQBzHc6GXsLW7FrpzPpqvl6qcfP2YHuAw8erH9BUytJByyslf0naBS/VQT0IU4RVNlcJ934iwjXzkOjUa6+KlufXkOQNmLSJ4rzrqoDO1liyIfD0ZWW3nVktTgIvD33sV++nbMWTolptNgMvj65es3v3//8N/vxYOFgPFqUdayEujtk2pGUCKrwrpOVyuqRbDN6OiCLoMqc9uJaioZYTnGnhDmCddi3qESOb10u1oNHb4dLb/0E23RJzdvbhYLE/ckoURglVc7V2pEStqm0yDODliD4YBfhqkUjLlbpCQysIrJp3kWd4I6E6CGq3QHFZ7Mqh3upyHqFwOVUG++vxiELi+wfBQioQGQ84IKOJCAX0zzOhGKFIkqLDAhBrVbr4LbNxJeQVYJ+SDUZKQ8MgaV7KmCk+xH4cs83fCnIyuGEv8imRz8jJmFpcI7wHXewIpLneMX8tzVUrofd9rT6s2bK4NVRxUt4cuPiAxaRBj3jz99xIOVpQyFkH3M3afsSYCQxD9htpVRlZmEZfqv7qAc3szDAQmZvJpbbVO2YbAo69dRG6tSFdYAbswCaTnNsSQJVcK/+OpsjmMIjZzpzdhf+qM4VBUeLAUfA7f49UN/eBWsP/mz8YJQ72/D4X3+LB2IZXv73Ze77//wG9fxOdWbFornLPdakcVUzoBsicZ7kMKwhE8x83KcawRyWKALZfQVcttadLugOiS4kFJgSyG34jGhJGFnWpCJmOVCd78LOXBJ5hFRhLyvS4O1HhuwMMLe3N4U9torLMqkfZQCTe8S1GlS/3cxKfJClY6rfvAYLoDBEnBMS4mgioGF0WMNql0DILTUTVUDhfK4EGoK/PNk0S+Ge/QOnGRS3+82fPyVzI5mMPzzMKSspbLgUjEMBu52b9xRcA/TycE0xazHR8X+TVWgIp/DIfuYuCkDnktjL4J4hNguOhkvV971RTagpZRUMoBTQU4O2LEPY+zF9QoFCSDiXRG5vhTiZrP567//ndVS5kfRFjFpjTvcU4aIUZWpWYqmNtFIrwKpLRdnNvaEzAa3vv8UzsL83tvIzRIB8sf+7b/efv23u+ko3WMUMyBG1scvO8GHM46LTvzxME8aIbiqm92WLSmloXP7/u1quxzF8dYjfJRo5F0MBfeVt/dmhBedDNZQehAfKyCw3NxZffQ23y0dDkDEY4YWyq6xx6D6/VW2qHeOO9sJrl8SYmiKHd52JMO6L2J8db9Kg4hVAzEqeUp4g6QDajpLlQZgxc7iZBxMrjDgKC08VxVKUUhQtkBwA5a6JvWRZ7jRvY/yNCjzpEkNTM7Xip8SWnLVxcBiFs8uH8QVOv4CDcvAVAZnqZuqI+h/gmpwj4uGwjqupF8iz59o0BeW6dfXCRmeyBARxWZea0LfZZsSH0wgj8TVlGU1QpJW+6jqmwZcDF7k+eLyYrcsO9Urev+uB9NbLuZesCXOPVEJOJGaD2zjRaMYA3FZ//ofWFcSHBLiRTsrq9CP8QCNi+qvMk9LdFQxBhoQTn0N5m/Hj8vtLHbURfjETojolxTPuby5+Dz5mlv+kj7qeYcN8RGGN4P9XTgZslYnFyNXfxv+UKzt3ABgZsLdM2HhNCpV0tyKybCKgmAfeKvwKj7N8NDGgrb9s0fIhv2WjzPhrMzAZnCVwTy2083cBmRpoLw2aIIVF8vIyaQdSZl0pYycPkjJUNXp1tBSavAJu4REKdLloj7vByOJg5O+jdQAUjxUKiWmpt5JsmJiurZemCfc68q8bKMEhsAzM5BD+N6jL8CZD8UNu5mBErPgaNj/+ABgGhaVMUnpHLjHms5hs8lKzNZcbqJhST1Sl+Tg1j3oIM4irit8hjymTLBERlVmOoW32+VqwjfGslWTo0XkQEMScYEQD5sJo5yl1RTTUXQQn+axR4MeAVR12XPk4FEjTOTyIcCT//Z9uhkL3Mvn1d/+8gPU5uiA6CAQJRqvLkUzmdolysBu+jlBUs4Qwyv+JuWqbsrr50uLz9IN+JadHd/Z8nJvNJuWH4bD1dOSMATOOlcfFvRoYyED/ta5/NV846zGahnkkDU92HMmgsRCju+4d7sZtlHSeFHqTZjy+TN/NhumDgwyCzbWGLW0XLgzn1VxdiU4C9nwac55zEM66ikZQQeyYRhz7PzdkisVbdE5U/IaBDiDLXNbAbRjsjLKQGc0JWgO+NcRfKtqgpQeVK40D+1WoNsXTohpQYkRP2q2qGNBmYFngEskRosqxSJYVElFwLF61QuRwOwFTpHcV/ZMMxMGGu7BQDsaeZc8vZu+mRTzVtdc7mQl5F06VjM6OirGyH6zZrvU9fUllPDSP/AD3fmN0DPJtpZ87Ji9I/vc+YgPZ3phgwIoRHrl9aXfAVvHRWRp5Lv3n78QseH6JtqM9fy0/Ntff2AlVEjiH0YVga+GzmQ0TIKvxtoZkqWI4GjNjzrCinkW3hpL/DA4cAfjxTDc5mxcFrDcn8MpsbD0gjOrx9VgIs0rQD66m4z4AVW4R3hPvngIxgRU7/K+Kqy3kxlpCDaOO8guekpbEbrYfan6odBcZYfFH7GxnOgsHRrjXDvjS2f5dTcLZLWItSNOTygD0xodXWPgqOyVgZQ002/C5KoS50s349qum05PlXhhkQXl3gszBxroTQTwnEqvisOGGHJr5UqGm5GqhmJVaOzSAc4LMBP9mI0ajVV41zdLV6Ykb8an2ClVE8O9kcLeC4jc9DdTGjeV0SywrqtJWtRlr0P99M77UoDJrKbjJ9M34pCo0MIe7sC4E7GL8mdvlmKpS0yW4fgSZ79dHRpYVD5/jyBUEyf49MOPk+kfcNQ9PT3//a8/sjKIzuM1aCwnKEK4mJQqPUKgMi+vmjWvrvHNeXUgzGzZDMOuRLh1Fm/m268eWimpIXzYT5LP60j3dxgFst8uanpSVN5SqrbupYWKdwJF3J/wjyFMa40HdBgMvb0/WgycVR0HitCSZzNFWU7eYDD9FqOCKCjq8LaQ4M/erOUNzrkJw7sP8jnH7id/7s9Zf3ZD/gsat+5lQZXcx92QGbslpZIkU0waGA/hJMvmJuaQTVmLMkpDNTEZbJlbC7itiogOpIMQQKopMa2qn6RwpptOAr8V0JQYqh2IjRFAyuR1nx2G9t1KR1W+ckEKNoEhiL9H2AR21GspMG63rY9MaoGgTVG055FGJMZrsgiFSXrMyikiIX1R08c1WW1abVlWh7ll2WOKSZNNs2VQ6P+twAnPVEHz9/hJiN7kpYQZm7Pln1dl27BaEddr4YkTfvzL367f3n76+InjDhYTJVa25cuymTGqVK100S29UGpkWPqw7Golv/42uP7+YuU8Tsp9KhEC2bArr9bqVswjVWJsNmMZ/gkT+dzKW/iT2zGCFLjBfuPOl7LKBo/3S3c0H4bLQ0suj7XiKeJMRW6aTEPwXOgOpTSRrtWoAtrMbHLHe2ysURhMHtz9ZngzuTAOwfF2zPktyQtGBnRzvwkH9YLC8r7PgDu8jZjTsmozWYeYLFKUGBuxsYDVokjSGjF/kyvmDAmZ1CT7vDcxMZD6Koih9QgeVJkb/nJvHs/JmJyBhUpmDCXoT+SmSuC/8hu4Yb1yFzWFHk2sUpJgYFsITTxJRlpc8FXIc0xMP79GIUtLZTzo//WAVetUMIJtbS7r1ww2GW/1cGxy6V/cj+zr8tKTJHL1oDcZ2LmM0z8MA3/59eulfmhqmmpmJfO+W4e/B8ZYgZCOENdRUQVbVc42YO+Mx5OQQyHze8yyRbgHLOukVf0OW8T3qc6AQsVYVoRU7KogJCbC0GMR8Mp/ftiO5JM61h7T7cDuxhvOxbk1GqT6swiz9tlWbMRePAAEV0F7mH5Q0DLBH4wuvMvbySCJ3UCvtXRfpVyXEXzcZcucGEtrcYor2vyq2DBzU7asXX3ihutKUTUDlbei2srEwqY1fZYxHf1S2q+0JcRgppfKx3hphb4TxzDFhFLk5jxuqr6bcEJ4RmLqEWStUspjVNnUqodZnVscvjzLKC8mVwN4pTlZdaw2VanyqiI+smlKsoFLuBfVPoLieEU0now83yc8OoEfWCZn3i3B+hJJhoORPGREkFuyMgkvQVyKU03dsokpLWJxxwZ2fxdOLsfOU11p8FTPTVIxniwNQSkLYZcmyd8Vh8pcBbPVLLwI1w+7i+2Cs7ULWIN9OLwUS62jeaXgbHpK9t7wrQaBRi/90WbCtxpSVTxYPXcxfiysS84rvMvHx8o3vKh3xCLQNGGgYWq+QucnG+Z0Bt62orRN3tYSsybmQ/zbFmC+vELhD1iseCjFeheAPEktnkxPUaFnCWhBgnAjIkCl8AWZM8aoOmbpqk2rG8q+IBdKKTOdVJolvvJ4Zj2rVSoGAiosO+xkIJYSedLEPlAaBqsikZeMI0FW8sHbuyzqGTuog4xRhSUh8x+3YwmaJSeOc+N6e/2wuchpacvxplwRaskz9CSptQysZI5UT2EkwNretAABnZCdpbZF5ZguIGwfd5dvL9cP6zob95lzkKcs4cX1Sn8BJgUgSanKyaE79qa3o829//Zf3j/v7gbLAfEwDqFgW1EXX1d2B9hhscYUgBSYU6gSjZJ5OH4/2P3Vm48kEpi3D50F7nactTniC3XbPq7U1VhtY6VcNQwEvjCwTxJyJDcyx5ROycrV7vtBe6LSA9oFW0K4crAlG2PmgLhlzS6kVtWJmiBigF7JD/OqOj2m5wdyCljo0TxDWJpx+jsxsE6PxQoDO9xLIxRYVT5BoWxn0DvZtb+zGlWZpiEmxdGDSCcDM1Py5LcqsijUlojMEIBi4a5yuC2ElghZqPXcpCtlG1bF0l4CFxK5MKD1R/4kWdzEdrUjryWDYJ4PdZmUlBYmDz3fpBQJCosuUD9N1VpYz8S1BZdjbpvK26ftN999eHKeZcGu4hoR46/KqSRcNHJYuVDIl3SDN8HTp+1NcMHRIqPFCM9Zyv0UqTTC99j2XmJ7paXs7pDVqmkb1N4nZxpMBwtZuTRhP1mXJBTFeDacEN7dnW7v3OFqOCaIRR+XsbEO47wb2AkrkvHVB846GMqc6uW5s+vCeGTpWO8myspEHcTHKgzTC8A7W3fUdZWqeCGGQhY6qh5Ufa6RQxDVNVzzzkNPltp+xmEWYud7LJjXs8OdVtAZSTAFHl/DjjSRpPww7DaoO/dRp4pG/s1kdiqjCk1X5TTi4wIJWKAbZgwphVaQKJcxqNSuKhTgkeGJVU2YYz6fXa+XAGSVcKhxEA4LnyQFCgWueBXq9MhJcNcDbS2D0E9r5G894NrccEMYs0E4adiGlYOR4aEKYjSW4mmy+KoZTAPOyZ67s8lsvPmymXwvIlYYgBH8YejvCa7WjzpVesqnyTGfJQ04Q05C5hpzwp/xud9+/WdnOvWdy/Di7RR559CCvi6xseLYDQamclG67kXkMBIeuHAwbR8jTp3ZFdOT18vN4ISLUqdvJkb0KOhmKk5cwjTODPZToDID2p6Fp6bnsI39aIRDuL/QFPwWxnUB/Rh8bFFnUn0lbTHC9EqIgYyquUYpNMRKEdSginVbBdS6obp0WoIFy8hsjIMmY6QI8fGqX9LdBXzQrBaVGFV6A+QIuGnVfDEd7itlg+og04YXALd5TOkVHir6kgbaQCyfs19kRlJyDX9olQ3xpWU4ymW73o2IhrUUUay5pCOM9S3rV2AsQWroiXgcwxpMCfHnzHXH1SjkwD+eZIdlplsoKsgxe7xdME+iUcUQOv9CYon8JO0kirsfHbPIgTaBG15OLlgqDdeOtyaQrBhhPV4r9iUMBrfO6FGMLRhQwsAe0TWCEgIg6Pjx1YipuYD2vtKjZZs5o2RT9oRcNPyRzSRlot7cpr5LQE+/nQU04WBXJkb0AKC5u2JedB1Q/+wGFl3FhS1lGAnrk13qpL8e66qyn7t2fAywx18YFkFD4cggbyG/PZJxAIojtlxWCeeQN5mwpOdJlye0xsUhmEvsKYnxJvMoV5yZ/lKAU3e+fr7zdttvbqPAnmn28XcZysopOB5FnxDiLleY7ERSWyaXWIWNQiX8rSp9kI7D8fFPz5zHV44sYiPkGC6W9WUOJrQAKSVKnieDkN3ruirMehz28vhy6D7601GiNgU55+UOZiFnI0JSDuQxD1ANNP4lhGdhGwNLzSi8ZoQexZkHNqlRvWDaiRwzUkJsrIswvA34rtAwqhOwHisJW4S2ZJBm2dMjHmtQ0CMEJfQUKkoWSSKM8nvy64A/J8eo0liFxbS6hj9VFQvpho3H81AgAEuG12m7I9EUhYac+xEtduqmJk2Cr2ZDlfSWzqml2/zPRk9CWPMNr8h5eXhptSIyai4E9aU5lmdNzE1IdPd7ZqD5nIDUGM2QGZVU15TYVOKl4mP8OD2uKr8kcoghZxpybbe7Pf9td0RIe3PJISx1l0DLTpB1ZWWwm3xhY6GPayvaZ0JPbnNP3HH2EA5K5kCwoPa7//r7P/0/fzY7rw8K5xKoWaQnl2/1MPRzBEgd4aMYVdF/bTgZ0xNLEb03ki9KxGgxc6fvTOejYIUZmSMvmCA7/nA/wiDLZRz5YN77D0RIxGocqsNM1NdgrIFGY/k5EmdcHT6aLqKbIjftCiY4ju7Hyrc/rnPmX+1joVOYcGbcEboYbfyrIpSzsZQ8SpNzfqYpzgP5eRlWKdaIP8qPVmSoNCoTe2Sj6RIFfbreeS0GFqEiTrrDHTYmRlU8rVau77Tq+7MVPp0QtGyCmXGohF6BqPMrjnJ6hZIKbcI2LCE3Y0+rDJQH1AAOTizcVBhSWFT8JZoZibhKCAU0Gw0uL+fjg5OVS2kSBpVmaKLRGtxS5txsjKeEauqac5ThCEEEK+TEmOlgdDVymg6GSJADwXRKM7K6EoaRxq5CCGpYXgeFPF1ITb8GkG15afucEEcR++6mgbMzcKQd2FbOTbB+cK+GchxTv1fEn4RfCl0aSOR+FkbVKSKnGBC0v49L+Ribp7FdlQW8HIRX4eBtaPxY2ZyXulcZlNfOl1Pmed6bLoMdqhd56i6N/fBUCJCOfXlKtD2GDBFdC86oQJ5YPSodSo90Wj88z0B5LQYW28nxEGQI6+EWr1jp2l8PoF8KBAPlZa5kGlUhNMoDcZSB+zIElWKFytL5lQNzGEebzRo/Fd7KYvRX9kkHvrt3Mae2G/FUUYbFQj5O44QZvvLXo2ZkD3wp0naJGSg2KqYd8KbSBQOiqXhdPsQHt563C2fb6MxgYmw+fHq4+e56+edlXeiEHFQkqStXpTtE/gChnOxHELMsArrsqpIZSojmtBjCte/Hvp6BGH266M18ArwPV6PxrIdPCHO80QeaJto/M8xwoI1GobMnWVrPkuVwPzzm+0UjknZsJE5FeOW8KhuLjpFYsioDh/w7XUqJ3CacFKzk9yOSxzdBeHNiFpVwo4buSKohq+ISauFfdYGKeh2TFRE4+5ei12JgdWTMQTUsKrNnghy4Vrr2d1CpJOEUvC5B0zIpY+bENdsJdlzL6hceSDkZBCrsVpVeZSF3s3l/gmg5AAAgAElEQVR+fLq6voY60yo8WJzWpxYVTiqcp3v2XtFcLKrxcHA1HoyGU7Ov5ZgGxXpEDAEu5eS5dEYl3d1NmjzIwex66vpb00aT9fjx8bf/5+/u//xYEzqhKLBiQKROozyKwyfTe8bLciqhjHqN7gKD2FH8CNWB60zHw/hwQ6FNdl/hvvrs3k5EtE50QUeWRSGhdYjr5ute9sFgupl3s66i4U3zWork0gmvBq/FxjLiFA80GWFnvRS94SRczHHy5DZNu4bGLKLW2blURqnySjiXZVrMSdLOT6TghABBXMBe1Fll7alI+8UbWHDEGFWmS5g4OxtVWRaZns6mvPi9kKQTNRKQ9Hhy0xN5UbtVyHKiXwof7OcfB6WUmER1P5S8hcC2Lz/+tHyzYSWa5b/Hxye2UrHwB/1sDubUvgV2FUfaJkGuanBYZ0WsNCqkMGKtgfResDBbd4UvjQs2wWQ+9B+D5NBrn8P4HIeATE7FOY2l4lrVawltIFOrUCweHeanFjrgIxcsFWPYJFTgwZLzYogx5YXBVI2aYBZ4vjd1p1jjabl+75RlWb+aM+OLRX/sxBHYILaUreVkxAO8YA2UFy6kpmheiY2VEqRmosiJiMapxQMUgllYKVJSqSeRVSXpDPQUeqr8UccOFJVoyPIKJ08VioSN8aUUxg8v8WsI6JFFr8LAarvDnfazpJjwnxWf4qJPktf1BhTYal1rn67eKcZGJOHGBnhxET+adwzXEo02Hjjr+/vBSM6GYoPVDItqxk6q5MOvdJAfQ0DESlH3sdqNlOwxUHuuq11czqVWmPxdMLhkdTWQcJ56sUr4+Onp7W/e3v3b18TqSmDWsLikw8wElsb9Ki2SwO75JjZoPCwqEBvK5cwYtuKNhkFyeowX7O+D6/GiZ/QJuAzLDEl8kDGYB+4quNCXgXW4Hd84k6dZInhJ1eyN5kqPp2KZzba6z5Ci5V/cxioSZJons7VaPVaN6lLIMBOpYIiXaZocTDhOeR1xufSXexBasg7Rl6MEzMJLM7Aj6XxRahLkhke9kJSaKQn0899gLTW6nQobqhrLH9kKev4VGljRC7V823T8fKOKQrRSbAocybJXX30qX/T7qN/pPD2mtw+qI04C6jVp0rKWwQC5zJJTZxGKoLBkxqwf5OMCPP38+Pv/648/Oz+PWy1cpQuFMDPy0iszOxNpWtr9L00jkLtMADojCSBCtTuOuw4mcUDRSTB9gyfpRN6riM1pE6AEEoZTJ/wqJw2QMbsdeQM5Car8JOZYME/ESbGxnMFtOHjoQR2lzTzqznSWdttRcA4rKzMRRzDwR/IPOuiwkhRNX7FeTJgLhKmx3qO3z44RWSIMM2FNzBJ+SUufs4Vf5F5JEZIajeha8l6FgcXCzWrFV8DFK7uhqq+1vyKOiufX1dlKpPR4bO9XUF2fLMNAXvBiHZEId321X1Zup/HQXkHAFNURhpn1eiHWIS/NyFwrRaFF80RnukIn8MTYzwLw1+Fmt3SmxQDruULZCuZe5dK8WNcz87Dq6VJkgGSMJ0Jh7Z+94WY0HfRroNu3IAwJCeEHI39EMFHsKo5aZFmW0zGzIGLBlKm9J9nLwc/iMt8Vnt/GqiQI4kRP6m6KXlqv3BQ2psxU5HUUZDkk91qVCvzrqUOKGFo/C0nStLPaNPWSabgETSmnWzer5woRl44g6VUYWAlX6ACMqqQb2C5zak9Vgrpwk9BQSH/ZR6g6VBoqkVV0iRqgAJdW7Fl0BWYt+iqyTpie+kL6R5JIRV7hNiGKXmFfi26FXORArZkOJKkwaYsJKko0prERr5gHg2D4/PjoTCQGepKT1omL6a9hp74jimDKYkou/6UfQuJ4ZCiS5eQv05MtB+Zbm8Gby5gF+60/HMwCorDNQ58V2mfZFiZlYvb1PMhz6Esezm9jVfEmJc5oSfrL3KQZ1nfKzLJhblhtDSctKMCAeubeSfEf3ikp5yHJyKZF26XIeUg65EdFSkIS+a0V5ssbWGbtbzqVPZu4qTCqLLqhghX/0MmwhUnRYl9YxqdQpiF6ZVI/q5W9ktQWWKO6NspBwP6CJfOwlTL3kNpKZeShDB3P5eThXCK72vYr1yGOgEDOZUUdE7MTZur0lxLAs3Fite3CE5UfLIcjZzIibnsUZqmsOafAXY0ncANvH1x+x6Kgu1u57pfgZsQnfVIhYmf/9FRTE+M6p43VTE1MFRxpPVVnhTOB09+NSvhrsrFUbJRLNDIdiW1aXNshMheJU8AMdUuwUlg7olUtS+DdihlKWouTg6P5Ja7s2h/42aJ+0iijHZr4ero2SzzGqJ99Tu+zRlWnVbIU1D/Anb2mqNAOsZ6FF0iC2gFHsQUQHQbnUSibKqvH6KjjE0RteiXnw/gcNqxsM1xUFhv55LZB174q2R06bHSSIJavx+yb7maTcLr9tHcCvlycX4xlCbMHAW2SlsZ8bKzr8JXtx1LOWI07tVBFOhtYGclyIzdqCrxGVSAKDj71ZvmZgQ8TlJ/22jjDNu0IIUmhZDJe8jbuO6HJko4zGVhwCuOAy5CFpwqjSnnIIfAc/97f4e+W7W4qlohIU8Hz5Ue9q99VMdDhKP8jwjouisd3nI+s14dJ7SGdy9vRlvY5rLYdQO1QvFBpnRcOcWsr7RlVhDJajy/CRTKoE/hYXbihecwwVHStlVZ6ZU4s0ygx+yRc+FmEosjmhK+GnzA1XIQzDL+zmH3V1KR0RXfPGuf9pPuxWlATk6dqsyLQWiyg2rHn6V0hKx53chuT+eK/QpRKlN04jegtdojhqDawhxYZmkTiz9c5DWQbSpQkSjZ33wkNLIiw2VBVtcO9oaH/fNl0LZ9bBhyH5njyNRzPQYU/65+POfkWm5WmRulX7WBUgo6Vkw7jRmryTejvqagDs5AtGZWtkt4P5YjhzCZwzUETBqOQ+KPyAtBJLcrne/rmkGJ68TvjgDwDGeWdFcmoymcqR/otWIXp0A+p5dTUwD6pH6s1NTGhxY/mkiEvhnPKz7h41a/i70xEEarghZCT6pwizqbnmFE00p4tClRZSlv6b45CfDFGVXQ3ROniZ3P39WxgqZcqOlQEIn65G6r6F5Qm4a7KN8upsU5wXHfvEMU58110hQxUwes5veVA7Bl7R3DCTWGbEH+2njaTdCebo2MzLapp6230aYOUqboRfO7Q89kcvh0MGs7CriPOhqC6+v3niSY9s5Y3Glzls1JGT29jtWal+LFOELuhQf6ayNTu49RGWQvkvo1dlQF9JBEZSOZWqWqepA/qnTBBeGNt+SWzkrL0tFQZXIa8E2KyBm2Mc9UJ1CmfBpGXHgys7Iaq/7lL3bqD6gpip8JVUyIbnwJvX0VX1kE7bZ6OxyoJOy3qauhlCtSMUKNg4WL5kKgG+cvMaZ4SbJxYlVCyGtZwNLzwV3e76/FVZR0LRurEc1LfjAURaZGoKUrVKadDxWNMVTUBENJmKY29Ds0l0wZZ3XXvQOJjXQ/63I/VnRTTUhVT7b5ISK0YkCt0LAk5YJmHkwtVBpf9bSNVytFTjoUDWiGJNPCam4P8l0moogo6xc9ERPQOdEllvUzdrAXQFhpgXhW/DP00sG1Dji9vjCpQw5A6lr4AafWNM2/29WXOnhv7G7QrYZmMTpW0ZB56AT5CgOnfM7HDrokyQ+vGPkuqEmcV5QuDV0SXzzB2w+mii2LJEiCQX9tCobb3ND2YyKma/omQZjlSfa+sel0Tz7PaWG/CwWPG117dgtPkKFOFl7GYihYQ53Wn8A12o6lDS5Q6oTUmswOM/qsYqvQ744w4CpkSV+WlSAUvJJg+7b/NBYjWPW54BWtgDORxJZBs9SB1kg1VgKuzABLYFjfA7P2UGwu0zUXOI0DGqDLUWLM07byoGQcJzc37xy6hAi4bNiUWI4MxoyD+J8tKu161e2kOM5JJT7SGsPSQo1qIMsPH8c1k0odIssuBHqzAVEHrCZL7aEoVWcpTbaGI6RFtpTZ08q8vdvXQ6tjGGj4mJwtV8aE2vTUpCVdLlbgxsto5QuSd4sQXtEL367KSRZwiqtQohQU1g//EDErAm159bbzCPBa/k0w6uTFYZ2Blp39adYoNVax5bTabhHev5OaknWfrqariBV2YDz518rFfRcnrShf1BEUi32YIOnxZmZP110Dv+QhqIxbixCpT7spSBZQwtYmJ0+HkYON7U52KfKXqZRcKS5iIcIntHkXGqiC9PlkFFdCAiuShBE89iGJuTFUv8nU0NTF1amM5x/ixWpCiwirtT7gak3Hwq9wqE/iDkudMELpLh+E5iSjgMr4YpaoQgbFFzxRg9vIYMcumt3vBVw0E5iQn2qImeSSBgJ6mRtHAKmyoSoIpVMM/KgdamofDURi6VMYGwp/UpWZFnWONqgqw/zMZ+TEv7uimwpynUw25h1POi6oGfVF9hTKf9X9kuVrGwDq565e5Ro2+NkO5yh6t4wv8jV4AZE6gZCqXPbGsG1X1NB+fG/uxuqwVWjFG2aoMja1VK6KNZNkYymdwX6UUQxYNenn9EHM1pgQGS1L8mBL8kndKzUuxC+EENVeBAxCFM4pN1Eqdw0EXAz7+T8pZL1QVwP5DPcKN4w2sExlVvOS8Nl6nU8VZKFNZhQkiwCrEFfgjT0NF7llIfTEkHWQEdhG3XCYpmCp/1eRq14IOaJsQvOBCYV1r4BByqIxqaIFRrYatDUWPzhZ6oCrQQ6o7QqtrdTeQxsa6CQdPPe7HSiY2mz6ooNvCJD2rdWXI1AaJ1BzRsooGNyeDV7ZYleGGHM0V5dC/kDSTVlHCkEVmz+yqbiJcIAhdPQ/wYAmzhuMxLiuiqB9vT1Q0vy4ZE6RnptRha5EHZ1qUzhSlRVirJuFEBykKbUj4P9slzZZO0aEvs1VXBnTs2a7oSuoZjXBCyW/TRBV1Kgg5Yi+kK19toJS0srcknQVtPA29YbQDVDvNxBpEJFUmpOqrVzaD6/oPV+vNxv/Zi0moRl2S0ys1GfgdbKxyUhLNXM/VDOr6WzjGNJgR+/riZ8tVuuws+F5oMtICU2tZIbJMyZ543wvhAkTIUn+SuekNbh4QAknbufLJ5U9QQkCl4dAbsgj4ItYVdL3aHe7lPKtIxagiGD0X+8ngPtaquTCwKmocmVzsYLsePxJpbXV9takt0SlThJnV7ShgPSNfBn+7wV2Y24qs60RWL5VelpKIsdisKAJlrLEE5EyYzs07XZPklfrcUt7cGhgHH3Ps4lGEVhKVsTJf5QoUHvK1C5kdHkG9Xa1/9fvvvNRQ7gDmJFWwsfBGsh/LBnqxkDJWZAB+mn82UOzKiFaRLivilJTDNDuYfZQSCTKy1Ae0ChgiraJgI3G1eHGlJLBOTlgFvTXJhl2nIEx4pIETbIBjTe33OxTWeDKTvzUUnzrrde5wp9VGhmqan3iqKKkM3dcU7jHLpoN7RNcGFKqodi6xhmXmeJlT5b+jdsKZIdfYm9ak9VgQXvXGsRxZ1VOCCo8g1RmqnrHVUHLI0ofWFdKqFncy0xQ/z7Go1rmIbWuMgBk0Iv069/QzDLrSvrnbLf7Lwrl0BluZNduAsW11G5i5spZ+rJQONVUFRLuG5JBaPQDf2Fgpope1riKqjYC17EebFosyMBIrWrbdJf1zMsLakVIobRhF247lWCyCJpZVAUv5o34F6Af+ZDqfTEfbzTLwveEoXs8qr3Pi1B4YcWIKs+AxqnC56Szl4J3CTZXNPd89LxxtR8Q5iDuOJmGrEWqGRv3c37YxgDW0xYOmLYATlFf1dIL18ZImGoEVJqjSaegmmC+mTDrNnKDxnUBGbobXRJjhrDGUu3CspLM6sSZfaeSN7z/fvfvt24f/9jiSs18bejxf++RPYmM5gxtn8FRPmDJXSD9bj6u7CEP+fBjtmI1owQxlQx9dKXakXF0k1tSM/8aE9UFVDLOX34gwYHUVHnVE23rpQOd5e7ZbjcYTjmBfLx+zg677ikAvvHidQGLV6WBU4WYzK4Akcij1iZf/GvhRNSpOo6sbiMlndyABjnLJS4IMd10BrGpgHtc/xtMJFVPKWNWkyttTojtLh3SQsE50NeFR5vJHZFYufR9oqlSkpG35Yv3KZ0LxfP3r129//Y03cnUytcRkWawSr30GZ+lgM2BjHVYxrBVnknK28wR5CNkmBZxSTLgWv+7ZVDt9mYiwMo5ZIxfWGsYKV7taHvo6keI0hAnkV3ZBmPRie8KowqTPILKpq36Wra4Gzn3PXS8ftuvnrHUFV15siZAGxHLzujoH7uKpwqiCrBNtVD+uwSLNaIKcUPNwwgnUhl5L9KK5lPJofjo13bEDPMctm/acuoyogH6HQEYn6Miy7JFiQ9sSdjbOKmGn3o9c3ZpY40JGgbMRx156BCYd6S9Dd7ebv58HXwJmCp1rCiQnZc1NdasLBXt6fB4E19hYg8iPFbEWGous7QmfPRghQAZSrDfsa566pPSgENaSRYa3IrT1InAE+YDuQNgRCK2qmgZrVzbLlRqflLUcCLisPOCzy4ovr3esBsZRr7KUBUHIiuGLGVh8bfd6YrhjURmrFa6xpwrCcFZlmfV67rGwXw8xCSUNg1ckV2RXhN4I/tlmIxn8r3HNK2HdkTeqFJS7MLYHJWqpYtpRHeCenIXD/TCyrtvVTkvTQNrbRzNTmHV3scYV8a7FqoRZG38n4XHajvFg9PPfPr379e3Pnz4zAbxO+cePdeOM3jghsRsMa0/MlZQ/jXcoqbOKWSNBcQEVMzv5V9FN1W0M4US/EWFo9YaZ4ET4K8EawrBMjYwdloNPeh3mlKRgG+CpGo4no/FUXVa51cCkgu8HHrZVEI5ecA8WBtZut0toOv/NoVGV9AHG1vnpscUYbU7MubDQTS8s2AxljKjcBI/c0iYhTa6XJtCWvb+Mcoa3QqsKbV+dH81xwASBQm5gR1ShoZTjz/z5b0bLP+0Xo1lT2fp8WmqJsx5OaW4MOeYuHLDnLK9mVkyLkZRS0Ffi+uv63W9uvZE38FmDDzXsYdXWxrMQlGlYzF3nKfQJjnUdOk9H2t0Z4D3cKj/sh0APGNuAiAmjTqlsRtxtJbrW+OtExYwVqyFgja+XgilhwrOIabREN6fUtSiL3fc9lrNwWY2n89127XslO7CBjV3FP4PRVH8xDxZGDPZgtg1nuK8xqhLsyfhPUl7VjXiw6ElbwTgf7VAkRpYQJrfQqHJWqgXOR9WpMQ0mw2AcektvMhq1xQV/WukjZa6y2fA3wSc8f4HLHu2ILaCTsT/o4YVKmWbtK2rBFSZ5FV7l7RFSG3VQOWZ7lpXXr0tFr7MgaEqE28F6sxzeDsJBsF95s91c/ViH+vaUBOWJjblr1EKUh/tK1grDAQ6tfPEXeooZCPq2w/NsFKteFXGFxBSp8pesbFqae6470EPICxNR1lghCcq0f+PfsnL5NGqxmsXYYQM7pzGzxSrac5kvxmqguqwYgvkMx3nFrpoiqR2fMarMRnX+AoLlPzaqswKIQVolB1XpHSnor5rKh9GJec2Yf+oPoR0kI7Aqu7AOEVQGHsiaHbC+SzHaMflOxaDJ7ej7/+P7fej1TXYKT7kruy5ph+Gtsjct0NNdjkWgUGGrhJ0rXVkqyghdZ8Ty4KQfkZDm99ihwl9hr8yoejW1pjKf2j3SVYWG1vsHX9ruB/vJ74O9E71Ye2N/s1k7A993g9FA9J462F5A2wt39YqYezAFGdMKM6uqvWdML9KgHVpMPCM9Najk/VVetpW38k57nOjWYIqzbPlgmAZdccXX8gtB7F5nN5ANaSwGuvsdMxkuK3Y4sIF9s346tK6wq7Z7j3/quCpp6ct4sOA+3VBCTk9JiacKeBhSZkuaJexT02ZJRmkxYRpD6SBPXeyHyQflekyIB5B0o/blC9Bg2xyU96lekHdPu8ViHvJFxKF3wII8o4wOx0LMXQGhudWd248e6wdKVYtZqAo8ZzgbhKsGu60KQj6dDj0yLJYwWMYSfw65n0fW6qmqQwVIHzwG/vXvr7d8zfzTLjtRsCAwWYyWA5cGyazwxnH3Hv6r0QNndUR2lbGxMpNEHwRVcCcR4EbuQgQ2FgYW/17Yj1XGD6FfZKV6AFZw4LTJyl9kVzTbgbV9WtQW0E2nQ2Nj71sAO7YIZNCB8r9ekKQp6XnMOQQSzkqMpcl0NpqO9ps17yi5AjEQzxevVWMDX+CdBgpPscNdVEwcUgEUxlOFs6rGU3XIOFKA08i10ornSZS3lhcb7EimvuvHL0zKqISa5OY8nLDBUqYybeplyjCGdp5b1TacBrzrTK+mFMtU6nirI1/+6LQPd+Wqg9VD+yrBgxpKSrPLU0uLaiL2kL8LJhcjv6ddAcZWqEZYkSOsRYDlJDFhLDOTsLdtayqAx8nlfOsJCQ1YPj5987u33ih/UARHnzGJ6PtyQDSemSObbA88ahnaeiIobrX5FQbrBSJz5fOLTwkRL+/HqhB1obh6IBTbc/pnw97ovUBYfMy5k/bkJh1lX0WGGNS2qNB3UbAzmx/GXBCuBXIes5jO8UUaUZjYaTWcTIkjsFk9bpaPh9YVq4F7198yJWBh1StnhfzLNrBgXrL8Bzc7G1Uxk+UXOOffHJYloP4e8pgZ6sv0mgvC6FJnirHZSwgoSeqVjvbA0sHTvm5aY7nbPg3WniOLgG7osnE4zcMcDwarx9XN+2uWnLPpbe5hr5itXIxYc1n1cD/tg9J2gNqVVkagx7yNP52PvLAzl4oc1VFgSQusVbtKJBgBbnvgUhG11XNGd1uVty7kP4ab5fr6t1dZa3UQDAI/jBZhMSBFrw9873AtFfkSHWeNzbKgim9WgC3qFYh4eRurmmbDtbYjpRpe+xxlMB0X6YeMgoh6tP8+bU/kQQ2lTabUg5wTJoDMLAWqaVWJCBtLmMpecAkbHh1uQ+L6+YHIC4bybGX8VbtkNTCbUXv/MgYWhlFnI6bUqKrfU1XLgV9k5qmtGRkSkbNKXkTM1cApoemsA6mBnkw29Hce5ONLRiCOY1ZeAvfa3c85GT1lP2Cfvj6+fXfrOe1MByoau0oNBTsOZ1p0nttj+GYoTDjlb8PhZAAXe6O8sU9jDoOx2q46icQK37LtzD1kM7rcjwajr395+O77D/4sZSb2o7cL8GCB2hmFxOXBxgq2DukHOGRd6SCxW4JKsaBoLcClFIiNNXBeYD9WCZcOGYIsd1cjh+DsUoTDoleVwfytqCXdriUr8o9KLu2rFhAh7mS05cgAC0bVUHZZNdMMVeyywrQazRaT2WLHKZ7LB3e/zUFUycZZtdl5OK5wChdyGx9fxsBqJKtQ4JxGlU3fFMg72yMyASvCg08TLMTJgkZarpd5T2IBRUZt5lWpCQSjqKnI+fJ7I4VJK3DhuAzai6sZgy3rOaBBm4ftxQXbsGwwRhzmB97qrI991XrQChdtsFlxuwGQKO4MsobSeYzu0Bv/xtnBPsTIFZsDP0u+yFFPMBBOFkBIiiwCyh6riMOVMlysWwB1zCO9i7YXCKdAshpsl7s3v7nB6E+IFA+WIgzH8j7AThJnV6reRfYO+ZbAsbmhukIQIeayqWJZhrN04NhZbawDEaohlcZqw2uK9JQVcVgsKzslLB0RiVxPJPQI5tR8g1txLMvm8YZzRzawBwHhrFAWy8cvRF4YDov70TOrgWYq7MKP0hHYBZB9HXihQtNQo2BUmWNqzuCpsqGtgfSTZZ9ATHUcy5wUvSRJ87trzGbhPhlvTgV4wEo9LgHmcvaTug4L9F4+bm+wleC008tx1rOVpUZZrC9VKY9zc1Lrbu2NzTaAZMIzV/ybbVzdPS6rxe3M1dVVeIaWSkDVVeuWF22uUt0SLQLmmNwN6jG1Su2/YwAmdQl78eXvny9v59klV6QoxMbis559wPaS1Z07H8hxFKVXa5FTKEZZYDMKru5aokEKzmpjtZVpdWnAh1Ku9pCoLE60sZ1plaKNRa5H8noDpQIjzUvJPfoOYMlqoA0wNrDv8VERNWY6J/4CLiscV8x3vrsjhOj84oZ4DAwhVgPTbwNt4FaXKVpt1SV7y6nZ4Y5RxQeABhP9gTnVG9Z/CEDwRAUUGT1q8tAXHVWQYk0dBepV8rVkDJvh3YFvxPifXgwD1ui59s5kPtrmDSy2Ya2fV1dvr5b3j9OhfBJvLtNTymDq/oKZHEldBzkhaADtZpb3nHCMjdr76xwdLftYxZGDDRxz3u63REiSijRZbJXRmF2vo8CbTTrqSWCIXX6C3t8v+Tj8OWCre2iiMIT4y3w39MJg8n64ftpN1rPR5JDhaatNt+q4SNpdfmMmRfrfpnA5iExqSkEmsXArZ0IPBrfh8KFXl2cBiz7akFOsZ8+6Ys3qZ5gsAnw0ixUAwKy8GNXknChHqOuFNmmhXFZ0gpXA62AeT6YSzmrzzDtxoSa7r9jYPppcOMPRfrss5HZ7ZJ7tqDi64TO1CjHcX5tRZdtpx7Cga10EBXZ1W3VI2qWKsiheXSkq1Gs5xxVqn/iR0djBSBiGg9nlmD3ajjPhm8HxDXNaLmAmjH368njz4fo+vJ/FIx5GqKY7AUNUp+AtA2+MrRvj7JRTN9haaxAM99v9cMKrUjjc4QYM9oEXEFj8OLpFQxurRaZ89YuZyakFqeVtF0UMXzkKYzqdjSesBe9XG2J4ebv9YipbZltgoKgUl/nkBPaVhAXZ7ThoNrrg6uj/b+/NuxzHkQRPURJJ3e7hcVRelVlHd83sbO97s2//2O//BXb2j57Xs1M9VZVHZJx+6j4o7s8AieJNkKLkiq5iRspJEDAzGACD0WAwNP0tHXPkrdcb/6HZVaep7t/rv3H6qS+8VB01mlE96e5Vl16VTkEK2l2S0rFkrfCEsRvi/MimJvEmn3WJ7JkJp2Cykj0AzmzZTGriL45gUBzU4XnHOhLKi2MI0juCDuBy71hbIPAlS87iLH4AACAASURBVIEt292sV5isUrPjXIXVCuePxvKp3bb7w+v5lBMGI/uZUgtmJbLg2GzZLbvzDAqWUhEa7P7TPQB2X5SlKkvcZLHynOm6a4rgRrKGOn+W5BcOa/pq+vrMr2wg7vOznfhtiC+1YNpYzqg1VdvfJGBmu7ltxtXTxdNi9PUVId0rdx7dsvnFFXRs4m2702UT/nwy7jlJE4VhnUtyCVEoikK5FkYNWi88y7ZQguiKKIXuyF5O1t3spas86gGhdRZhU7wJ8goWvQOe6FW23XY7HddttxFRsj356WmKVsWepIbTma6XnebWbhvH698zGOBa0BVRUeK99ITOdjnnbA6roSjaOjI90D+bPX/6wRvZA0NwSfKEzerilSEQk2x4hrk37uz9vOU0uzfdyfuJXfR5r+1Yp9KxpJb7RjKpQCJPknWJLNkJisvwt14mh/AJ4No7Xgj+Ube61qXII7McZRrMaEX4WQFEu7Kdju10l/NpMuACAGARH1GoVmHvDgpuxg/d3hC7OAWL8ETfYx/DMYJJot1xuz3XPaOChcxi+Q8GYcHi/qKUqiiTLv9przalUwqP5cUpR286YvWlDu465XIGpqzkoyRmOtANy4LtLSEcsRqwOYv/bHEnog9rZIzSzZw9JvMGq2AbmU3T4VRNRRix/EN0FtvtOJ2OGjub+XjScnuzxaznVtaxTAmqXB84sV35TKNIMOHW1scuZNkt/6EMl4ShapVNpHJ61xIOyZHehlpXpEI05PWbN51up9UW6aSZApNfv3rz8PB4e3e3XBJucLFcWMs138CYstqR8gZcVOQdb044YFq7m1bfH79bDS1RpIDf7PvL6abTcDcftz2v00yhMZNqTd4O+sm+xDbW+vs/fvPj8u16vv7Tf/nnf5v8j8bsUKOsO3SskWUN/Oak/rXCTIZkEZNMh3V7C2V6z0wWoY9JVil58ku3bFVUNfAnv4aG5InpWI1MOFbINGAySpGXmKw4yGA2ST+PWbJtMKeL/Tv1ms/G7bajTFljVg9T84QTkT8cGWMRnNQW1QolR789rQULORX4VKElaqWKT0MCVoWJ+8e9OQekp+ndSdEyqgdKksxCWb0mWuQET/pj/QSA6wBpOJ7jqDZ8lMgxL2gJne9lg1bTsXzWYkJcJlL5YjbDLrNd+8zScQhmzwKPsvu2k6HfbGNTabuu7eA6sANLttl0hqQhpdXpzZfTrmNsVtlRUolCkUQUzBBIGXWUzYOwi1JNLFhS+uab0ae7+07r4KyWWnRfX/QSnKuKkao85cgDqJjWWq3+sL9HJ7Rw/+LFDYuEV1dX9w8PGLX4B9vRtBazxfTpyW367X149FTij7OMpIMMp/otb3y76m/6WpHaNLetTmP93u9qsZ4i1DNbfF9x4XMYRe337WX73Y/vf/OHVz/+P78+3N69+uHV5/9+a+ONX3Q9oWM1UCStiUE3KAK2f5/Jj30G8787C2VR3xNGy0CQYX7GC3RgVjjPitewijvyyJ1gC2TDsmBdvpB6IorjaIX3etvtrpfz5fg+lQZZDWSbUsIHK5mZtcXNeN3tD/F/Z5thMoNOQcdpthxUK2I9uJ0uOk84Z8pYDL+ucJ+qVAVwLly7kib9Yi6I1dvR6ZsIx0xl/Iup0LGEnqTtYDELSK2utZ35aAXM9nanuZ5tMAUH9HImyWq+ZpRtnjyc4oP0sjdUgMADbHHBXtXtYFNJGZ7TCac37OZCEUFOb7Gad6qvFRbQGOJpIKkzi9ARYwOIlVU+QNeYWFps1fGWd5vBn/q3w6dM64WU518wDxXK1T0xOyNWYX6xJMHklu20HWTiTnNChdoDalxdXfe6fR5d1+12u7OZyFY4rTWtqxej8eN4M3kMRH9QcHcTYlnwaj/PFZIXlMi7cWZu23dYiNhl6rLt3LPXNrZVw4vq6JwQpm5049ZDXpIGadRmc/521X+xuPnD6Jd/f/d//N//+6e/fI56MybL7VKerO3Ibw6sRj06llQ9rZEy8Re82DcuMJMM3HGaPCbfCQWYKr1WTQwZ0vONAdTJn3ykUCU8CpHHozJaHcrl0E1xlv/4CkO1Yg8g5zGnGpyAgNhEtSo5Tfrz6ZNtu8qU9YSR6EATm8sZgWwkabu223Nc/G9TmJYiwUMgTG/zlaowlJiHe/jVJdyX7IXPQDIWQcdlVxumDnrVWWJSl6tlqpQpB+JCcusBI7/rbadvr55YmZEB5XRbS/F/PMxm5PHmWyzEa99zQ+kVKuL2+m+++wYFQxwDuLzDDaJksSAyXmRrLUNva3eW64WbsmUsFX+KFEjNR2IsqwhouJEhpmeElhluOku33QhJlS36ouoSts9WaGfjrMbr66+vHv/ng73fLyx41H8yAwnwHHGaRamkK8Upc6EQ4qFFVlo7uGXgsr7XThoNdNbZdP7i5op2HAyGw8EoQHN9faUVrCCFm8V8TkTPBHvCWVLuIYCJoxZDEXQGhlIB2/HXU6/L+Tjp16EZpTOrS5oyeinySs3B0fLZTwF6x7I///nhm3959XQ/vb+/f/W7m9t/uzcxYgFb6VjWgJOCqnaPbAJreKP4SUX5FzBWmE16gtM1oCsPQsiAoAuhJka/porRCcNi3y0BN2NFeEQ6igO78iXHdpW1GohGJQ7sm7K7jA8I1+sliLr9kbgILOcy+gig1RQfdqfT5Xy+Q9bEXUgUJt7lJ8SUKsMDlWU+iKiB+Uie4e0FdkGUKvimhwfcI5JH21+yaegZuHO5KAMxnkeiatywEExkFqm4u4Ke4C/8ztB+bLARDmsw5xZbq8QJoMRx4BMbdWhfuspfMLbstlCAq6KsnkQWUNjeMhnPgbuYLzGHBwhYht82Oqv1winWsYLKBaUzb1KzkpjV7axug0VSn0jI4ZILy7trSF3s7Wa87bZaD+8fvv7Td7d/vrUtNC+BJwCF11mAMylMvlBAUmjEiW305rVeaRUlTmFTN1IfvK82a288nr558+r6+sWOfkXOoD/gmzDs0vD48DSfzkZZ3qvhuifoy1cBE9mNEkQs3FntLfrqQWUMlRSCgk4tFc++eKuFTHaWY9+0l/anH++++cOrD28//qf/7T99/vGuEQ+dnYniyfJH/tE6luJHJo6jXsBb+EcraDbnM/soTNUKG7dvbieuhju3lHCN/0GrvV/2vTSrs8p5zN6GzT6201vhezhPj6rgyXnMsvcjF7nRS1iHAud2+qPr17gK4ODldHqB+1MOiHIKVjWlKgf9pb26HP1Ps1p1OmybbL3e2S1YY43OYJfGwhp6c/kqlZAI6rMygUExGvPxfD1nDT/2FUUo0e7rtt+cN1bN0evRerEZExErerGBCxg1aAlpDnagYjCPhiPWJREZ/UGfrfhLzFkLNC2xWqNjeb672iydYNkoSl5dTzJppHOw0e5bkwnHt+z2tWmMLdYGF8626cvhxGu82Zqr8WbjLRoOWwPQbcIm9zpo3FmJ4p0Qq9XwapiKANmuzOorVhle3rzSI05y0qfwHGs2r0YjXN11Wbzfnh4eaedDtjBQg26oZl0FOlzwuHuWBlNVa0Wk0KSQGuEgp3Tj/QxnVCY3U4wljKz1p8bsanp9M3p8uH/z+1ef/3znr7do27lgdi+P1bGEmhhFJmhN8ux6hGIg+eM90ATEGfLs2/dSKMRuEBG2SrzgL56+zCee6cyDKpxVs73gxMA093NgYP4vvxqYx361Gug0mvbWsl+8filLC6FP3JySxd06UKroQQA1tFTloLzkV/UKl7I1Bbs2VlFQ2T83GZIuRUZkzHplSTg2f32S+VhKTMrvhKKagZCIs/VqYs0xUrkqeGMAwWdXCgbDdmM1XnU7A29ze/NDz/8YnWWJ+CjLP0cJViCk2iEYg8PhFVpUr9e9u5dQLrgP8W8wHKBpLeaL5RKv+zaH+669lZ1uyaBQSrcJ6hi7ycnKq2QlWRv12QewwAKXYkfx0TyJJ7ZtYpezNtvx+FEpWEkwMSqqPKZaidgokAoLB1W0K7oBIRoWC3jpuYeFy52ONRqN7u7vaRo+cu4+30kbleFkAq/WYBLJ9SXoBVeoh9S0tirARKm6xGBqL8Jp5eFvs9/+n6OH+6cfvv8d7nkPn+78z9HRlE2j0rEq+WMJNakUZSMzeaOECJxW3JYC3NfFQBP8ZfPo9t13j2TpE7AogQT+sByoOJd4xwBmIxE+m/zdTyfoMygerbaN1WqzXuatBioH9n25BPCSCVDIEiQ+7PjF2p0eq4GkIAeYph3H4SagMAtwuoJ1IqXqwj3cNY8KWZbFysrpWqmi5UCtVdgcUNIpRZnKyfK8r2qTzsbVKCkRhINyhWWi1bHWrLNZW2tjEVkg5kbFDnF/08DPfT0TiwsnhM6fVoNtrx2ejDlmb1NDqzDjK+oOP9CLYxB6AEksZuF5vVjsllV4pTUt30fTWrN0OB2PLW+ZtsetBJfys8oASajz/mC7nK0dz2HP4IF07lR/xVLFvh1ULJiOrrWYzBt8o26JkBDNHCl5zAMNAeRdcyCnCW+RBAdL+TDV6dw3m5tffvnl++9/q4zE++yWuLr3er3xeHz78VZ/tobct/bZ+GtcFRjI/CLaeM3XrmfL7HLcDKMoPNaOlcMPx7Pf/69P3/3zb1G1ieLxm+/e/Pz5rbnzYs0+7xVbQbitWZ0c9rUwsCJdBsVkCKuhqW8MStSWRS0F7jpqEmjASeSFuGShzahDA22HndRtjrXB1ypZihRxYMfRqo7VQA1fGbZlb6BeDdTiN0CNHEB+ISi44QrSkzcHaa6VKl11ypzCUgWV6lM7ScalpGS2fN0EBtymi9NUzI5lMdAXwyJMu7OUBfL3kz9oWdkZkNAPnJt2b+j+8j8l/IGXmJwwY28WW6fX9p62rMoNr7v4AGzm20DB4vOVAYcB6UiBRZtipoo1Sr8/IGRAkIgRK1CwgkRqxxcV13A0uP/0qUFQrqpXuFMZwqDWG2KB3W9eubL5Ti7FbhGXwhFMPs3tnd3XUTpFaBKCBi1N5TzBDziVBrMT17ikokqpxB1KqJOkVmuXQ+hkma3NBoK//e0nool2ewQcdRGgbVTadns0HP70t58C2cXG0jjViYR4hugzgx4ahDc1XEAS9ECrCaDQBKhjKMznB5C9e4lXxCr3y1cvJ49z97Xjf0o5ujuLPehYV6X2FQpB+URloYqlC7NVuxUwe89AitfSyjEyanhUFKLoQ15AYS0sSqENrmWarPbZAyJIQEqjWvG16XQHm9ViPh2nfpBAvHK0Krs3cI8y7S8fXdin2GYMbnzYmanTcskAWa1WiBGkbo4pq40QAQS5c9ekUlGUTgQRWEoXO2MB1dtOhY9Opo1Vx3Kbz99T0fjFwc2XCCINuUSEhCYz0mIMXD6teq+7fK50RtbyPTsEDwqN5gibBLEQT/zV5Hbc7jjO7kRC2UiIAtH5wZ5/3nhrdSS0LlDtFykUNeoQL6DT6YaBdbspxpggA2N+8jQedg8fTupVPpeC0sY30dkXLttj54Xt6PVN4W2Y3WpmYweZnuCk87PcNt/2jLFVyAgWqFJUWLI+qPuBAiTUKqHHU8AXjGsckMMaIVVAWj88PKEv89HMgCX/+HEyn+90VmCy0SFCUvQp8ir7gf64pzA7U94bSvOa/4WjiYyVaEpCqaQFmuBuW+33f/n47T9/R3Cx8fT+uz9++78+/dXciAWlj+axG3aMSlSvXIIwnFZTncqoJDlVExtlfpZM9BxFofSiExEA/FKq1c6Bve1KOCs08IdPLAtizeITNkwhg1SZrJAl4eRj7uVDrNVyZTXQ7WIzk/YuurBDkS3HlCUbZCqYT4rw/uP9jgNwXytVPKNcatPgkdzZNTwdK9wBwvdHIji2+AmHa5S09DoHAwMBZzj8vBnG5Y0tAU28eUsOdo6BFgXrRWtjebPHGd81ttuaBDF8JLffv3Y//DQVNeKYC9JDo5qTFnr9vU1oDxarCt9MKFL7hMNfTOQffv2gHD/DClasKof8ybsSWYPCimKbtTYzduOK5aEQLC3LrYItQFt0Q6vIpycTIsGu5EYtbPKNhzQMM1nDgRQStRGLtifPSqlZL1++eHoc3989IHtpGTYbkj8IkaDLVv1N9jITSJp26NWdGyDJqx7GgkAhE1xJHMenYA9ebebz8VQCebCXc2Q1xuWgGtmxjmVGUN5UmITroMro1YWT8DCMq9q9ppCGNhSVhljgGoqVXEUFNF8gA9WKKZLDbdh2smI10NtFI9+s5nLiDcFo1BnMp1kN1I5WLqeQ5YddSNYGyrUpC6GRVKXk+LRkmb/bFIP+YMQb5Lj+9lX9RtZbjYr9B8n0HD0q1HKFXTpJX9NrrmZrbFSyr80Rcy7fTOHW8Fcs3hEwe7t99J+mE/e3TX9/IiGYV/fr7lcdBAJfa+FSZe9lfXBPHOMc16tUCP1+N0XB8hufPn5k9bCTckxKKph4YqEoDBeATPmsRHoUsjtcTM3V27XXjkagiGap50l9nYs5KnDAYkhi0g/1lDgiW4xYOK42YO/dLf7s2+l0hnalqygjumHhgRexMpbiWhQhYNVSZuTTPJrl8KS6lnQORcy+lxzen+ROUVhu6jXnB0FPnh44NWmLlfbTpw+9l53546psnF7sWAZrheZEHdio+4lu+kNqlTvGCMDqWhGuQkFRGd3O9VBITQtNVpoe3YkRthh5sEO0OY95s55PH5M8x5TFPiO7M5yOn9hGXVQd0/dqj8vB0YoBbloykU+bsvj05Sa8TBf+0k0UqjUB0Xb5ekayac15EFaqYHFSmTUHlZNTDQU1sUWFRvQpB8DJXymNHXJOPQdIjbUQ5EYmenOMh/WjHTeAs3ra9K7ch88Lp9faPG2JRBnmlDi/cyAwIeXQotZNPLVxhMc8LTsOMGyM/ea3fm/gNp6OqrVodaohGerD4TCoXZgS7vG5vr/njK3I9cDJeQ9PJMnBPocrfH9IrX6naJJK6qGiGrsUNFQr66HLcUOlSlXKLBMGdqs1Is/ncJtWS4Vr14Sn8pZExNR8vri/vcPcTM6P7z+homG+0jVG/7Zb8mW+o2f/txJ5UkhrgfxmQQjozMkTLXs0TVFwMAEaNNOib1KeSuEGLF81zQ6b6tfT2Xx43VsTzaORF7YxBaVaK8zUsYSgUkRJfppX5En5vp1KnkrUXDRlYzacE74p1dCpdOQ7sMeKIENkNXCzkcNtnA4BPLNOVt6tBhJ6cL4k2meTT5yVcfC0GNb9o4Qn5cCMNsc5EExLDnjdv6n+FwZqUxaSJpj9z6dgYUALvESrV+LCSjIW4aZuHpQqNMhah2VGbXfyHcFx1HSeAf34ZLUYc0LS4PpOaNbI7fXYG37VZoNwZ2AvHzwnHI5cCd3N3GPHrhyux5w9a/S7I7s5ZH2d7XPKAOZdveqOn6p7l8N3nDpFI7Cs0fCqxfaqjIuhxBWMYXLhIfT542edPbQ1r8TUkp9VM/ygV2lMZabecFXKWinCZY3vdxVC3Xx8/4FTpicd99Xrl657mL+DXrS/kb9EF3v/6zvGMg9c8Jm4gkwDlr9FyXIh3dm3Sz7LjAlNndhALQBKT/M10RQlPpXCaBZ5Koub/Hgo85kiG7FwqGHjg3y4VLnS7VjlCNILeWCvUaiE6yJgadYTQQ9jKn+/45RhQ8fg01Wp1+GrI/Y68cjXjgpnhdejrAYu5xM+ZhK5JCG+GqiifTqcpdwfzabyMVn2gk4c2PeqFY5WhzNey4LKyh82ZcHPvbDIyl5fOlpI2HRWH+DaIO2EmgE8lCouPVRgKJdBoXqyKCLLSY56EJeBwogrYU8yg6wrLmBLzzpGCLZzokpKszpua9aI60nUaPXrttsctLsdu9u1G441Iizc1uGsujHhy2frB6//dWfiEo+q+sUqJNUk5BVB23Og0Py4ugcKFt3v/dv3enDRJ6MWrBwwh1cZ/UlYrpSqzDmn4nx4wHz6O993bSKE4Uq9/rj1X7+56exDNujxCwX6BgZ++nh7++k2eMRlEnerjt1yiZFvVV8+KKokXKQF+Kd9noTnAW1FZcPvM5oxnKXqPfTQG3KoqoCbiEVNm72EqFYiS7nhV/OiAplKx0rGeS+mS9ULhLVLrJRKUL98NqaUOW+SagFTRZC6KKuVKYkoUuvNGv2G1UB1uE36ecx0AvRt/mliYtCxdVG2P3wx59jBvZ9WLE/yEfWjTQRpIlqJp20nX8Ami5dKgWxtyoI/51OwSpH4XJlTW1QTQwsx++p7vrhSnGDOQjQU0mxb9a0XER6Rh7OQkoekppmXqqoPY6VTybyjcNZQVWloUR8OdHK843bR6A97q80MXytdObKRw+IAO85JdzEmH/QeXAF04d5wNPOt9dPY+cFu9ds+D0AufwmiZoswEJPJeNNZgzLHYajf6z09iUswBH549yFQtkC8/5SsQoNQHRBvoshe6IQRqTssYuR2kHqT8bv16quvf9PtRTZmUml8rd69fQ/zEersRsFe5RKsoZO9dhDBIGw76qIzikNb+oxyFOT6CsNGOrYaEEcBBYKHHO1azR5B//3lo9cdyPrnklMUvFVj4HVmXTbTVsDxaPnXjebAb0z4vpMGymskPUhp7eNrVIrUuthYCmlu5hQu5RNJARSrvZzJha1ewmNswEyaandeXjgrvRqIapUPFIPndHzPciFrRsulnMWecynHS+1oxdGBjOjTfSlFqOC7V7S6SNrf90NSfJDCJKe5Qp8LprHn5ZMSDTIdh8mIPIRffIH3qoLKBsbQrP00lT1D4JjWkHQCSBdPy5vf3Pzy0wRfK4ySbU5Ix1jlEtw7PiZFuwoV7o2Gk6dtY9MavOyxK8rZ95k9KqO/0DOfTjFh41U9uhpMmSY4UBRfdy4iIOCdHWpxlrpwDEJqEVt8OpmGESjuhRMK7nc956BXhSpWUFReq9wxXhoUO2GWXYWSGIi6gGvku5/evvn268Fwtz0TuY+j1e3nO5Qqgo26+GZwkmuycDil4HU4a969bimZ46WbezS33FS8aqIpFzukQnNSIzHHzQZSf9Swr8Tvisi0y49bx8W+yPLgduVZ19+zU8TfznzUqw1rhy52ra21knM5DXv1Q2N7ZTUHjUb2mdAC6fx6VZiv+epLOOcz3qcSCe/KmazEMLlCHZOoB01vNn0Mf9OGa8dqgJgyy0QKnU+fiJfTG1zJcmFYHO/gMnfbjGXkeNvuIssNu1CYqiPv4eGZFCymKATZkeSeunjQAChV6J6gg0HoofyeGvV/OPiI3LJME/1B6RDwm7JZxc2FeWmmLh4XX/++u5w03lx/77QzBySyINkjBqOrxe3m6uXoyX+K+W+Z02GxI3kq2hIRL9Gq+K7n9Hb+kUKHFF0LG5qDniBb4XB1//XtOza7heEzeahubMolMu+aKlmlMNyc+51hIyfH87+iR1FRfnFQI2bDp1/erl6/unl1QwiGD7++R+saoFe1UsI3nIZ0xXQRL4A/9HMh8gRr67VWAWrpL7suoyGbdjWV22t5Vtd7/LhqzNqu7ww41mlEp/fWS3/4qr0Yr/y71sBpbfCF/Mq3Jcqj7a39+XhpPTYd/+A/l1Opx8ZW2bEssWNFLmE7PFfiJfLi/A9Bhzw/6ijGvNYLEyl6lbnNStynMFqtlAN7d7NeYHCK4t090Rx8rG52i8OpWfIS8XbHnWswuJ7PJ0GQdyhlCVKCheqIVrZRt8lDc8S7MylYfIRfuIc7KiBE0i0Y0yhVXEdw9bRF6UAc7RYWzRpfROydloRC6DHRlp1fhJ4QLgVE8hkXzAZZ+Q3RsBaredu2XlxfQwqKFF44fFWFv6vUV1YGkZv2w68zYmVVJMCS1T2P3TSt1mTcfHFzJbzZXxCxZAVrKdtnsHJLX92sP+K+rTi3zwWEwxJfkJi8OUCOlU9m/cJSDhzLIdxpNae3t7PHR1b6u1hHOmVEsBGGVOQ7rksvj7baPrdett4/lfhbnaYSSFRWKKcaAfllEdtee/GOGLN97K+AWrIU7jTGd2u315axdt8cOrJ66/VYf/ee/rpx7Haz67t915v7QeC5ApqtxkPDv/atvm9NRccStiuCM7heAO5Ur0OczJAnp8JcDi77OlTHNSKSSqHx8AEqkatanMeMm1S6PNzvDSxjs0ojHBk9YbmwN9y2HaI52LbL+TZsDyQIO4uDaSXOmnYmCtBamCHOWjMDZFAVrP5AHkrVhSwC5tO+k9PJTEg7o1GQLFlzihJnOdSITrXTq0TomRNdVp7n1Usw70WvzseBL09PD42WdANcodXmfBWrXYLgMZC3HAaMPFDhnyidQrbLccydF9v1oszHXoRIXNQ308mi1ZpO54NBerRzSOFovJ9/fIvVhcIsFAYgFN5MLgU9RxOfmS8AZ3YDNCCnMsQMwDlyxYgURnkesRvK4a7EMs126ehpfSZMgCJSnLHCiUX3lWgqAprzPsbJnJzJV7Ci29JxX/1VZ+PcNGYPq9bYtq+am+Wm01SvCDXSZcnU73od17L9sU/wOY5gT0JLSdkz48Hyr/DHalgTiaaSkvESkqQ/iAiC6Gchcc+sNF6IViWXeifCuqBbMoGuNyssjhzeZ3mbnNVAhCjitMZzAyERU1a3O+gNrllnZJvhnu60ip037UwK1nkrlYcN1qNUoVqRCXtVWKPSiXmFL+Cdlm4xK/0F0BUjIfKZu3+3G6+iUYloeRaZsqdF/Y0JNjYQctIzfomL5SLYa0ZG6CbGd7tLIDdMHjvTJjWQi9Nxgj9ygpZ/ffNi9vTkzafldKyQrCNm+IrDWfAHYveanTJC+RJ4+/OvhA+AMNwMULMwsnPB0zSk5FK1jU7wIYQRnnzJDwV1oqHgBb/nqaPmu3T0MhjpUuKMZapjFVT5RDXVnNR2oQooKL5y1/ZNY/qwbI+xUuEqs10+NdjlpaHJYUR8x6iOy+RuujF2xwwZBLBc1gqxYzW0HasCmWcptMEPsgAAIABJREFUIn2DnnK+brmvVXrPgXUQExcj0t6yBUedErEHsP9LMCsdzsp2eqvlTMdb3788/AUGqpV8otY3/iCVrsO2RKuFKt5hh+CwHw/1eaDgOe5SxPdzkHFynHpDFu2Bos1UlLoCyNuT03E0gp1ow1dDBubR4E4IAOIUifL1I/f6OgLhyWvb4VyajdduOt3o8X90DJzN+VX2jp2CxSMXS7XJL2s0+PvZtETrJGrWblrzx8cnx3758jrGMXrvLz+/m88P8SAgQ6tZm/VGhUCVEjuu7/geg1H/o+qW5mpB/QScYzAkmim1GtIrZHjKlZqhMFHpWOefcQvpimY4Qltd2Zv2jT99WNljdsw7a8uTIPl4+QcSeNuwO61DF49iTn+S0koqhhRa7FihtcL0cheQKj2ljFZ9EpLhHnpV0AJxHNKdPdGxUP1Vx+aZJR+6OA5P+eGsZDWQmBxhT4s49NLPLD61bUfCLihHqyDsArv7kdXYSlKn+NJoji5wDgWL+YZZ4WhSSwPQlio16iSWXeEapXTzi78gUixtZrL+uWojw1T+V7uihK3HM/YkFRayIFO1Ox9WnX6v63SvnDdhWya9KNhJqt0R8vsJh9V8/vCx6nE1hxYjpun482234/b6h5gCyKhf336YzyKBjIWe7bbZ8AcEeZEj84RX+Vw/BTdVKwP4+LY+MKH2O9iiBUJpyEUs27NdT++1MKGQmUU0la6kaQGNuBoz2UjYeuETlAHbFdqVoLR8wjIELukAJ2q367TmbCUsvDTfpdtBDmyP8+QL0bGgXp+7XEvPKeZaOAdOVnGTVfh16B4LFjoWdqj1Gk9RTkXFgX2ZvxqIyapWzaoh8th2WYtsOh08reR4sejFqhQCHC9VblSXiL4+79M5FKxzerjDWX3BWVkVXq/Py8+TY6NeMkMk5AiI96rCyWnIRCDCDgEnvVrUFtNljkx4J3+xY6bg4Sx1x+WAHFk7Di5UKxSs4JFasbwc9nk6vFJ30+n08f4Rb75QOPVYlsRjfEY4ZGg1tp/ff/z2d78FKanIqffvPkzGu6AMwl5CNHIycdNi04yEDlJMF+7nXtkIc4sVvhRmYsQqwF4IplKGEnVSvXOnVVfCFSmk5nfd5+usOEQWMbNElSMU1/qg6CxnbIPu1XTjTaxBWzyudpf6Ktg/SJAGbFr+PhzdIT18p1gP01WD6hfpPPlydCzd6KU88MIcKXcP//JMVglgqLASzmq7cNx+t9eZTR8W80kilyTwsYpBo/LewFSYUMs+X3Hwkt+CsAtM/Ziy9K61ZzHuBFU4h4LFpFVoPQoIqnAD67WxirIggqHVzINqwFbAf9YiIk1El4roAWelIIZMuCZyTQwYQlyd08weVbrc3L+t56/d6YR1KRnP+2gdYQQ5ChbxqB4f5KRSIiolv6TDQA73uTUTjXmzRMf6zbdfAfbD+0+PD3j8iome2YetcARtUJ1W892I97kID3RVuxMKhOhT9IEcikrXiQLlSExigO+K38L6ksByahJ+pUwaz7vqGibncB9jhnT4Mi5EfAl0Zj3W1g9w9J34eu8utptIA/Fpk1z5kB6veK9YLwV25Q7Fd1BCf9CxXgB/t68w9OLCblWjl1NYy9dA61VKcpgVZlZlNRAnLExH7D5AtYLpEi4u0e54WKnDjo/dGximi8mOCDVqNdBVRwey8SivrYOyOpw6K4bPaGc5h4IVVLjeG61U6TaurFSFSQoGbDjxAu+zRoa2Hp2JYCGCXi48S40FqiZZyXAmeqqi0fRRDQ69CRjLJ4F22ktC1cakWDrF2dY3fpTQ6ggjtB9DERCDk3zkE3M5fnq87y4Wy4fPt+1mgyhYXLrbK/7rGhhJHKNMSSLMU7Td5fIbvZROEOJa0ENo8TP07GwdK0STeevUkTMVsfCijGIdB8IzEEIM9T0lWSL5drzPEjiFlbv/YnSscgprYcWDDHBQmawibA3ept6oiXXdkqMsugRBmE0O4azW60WnO1ot5CRBGoWVQFGtah0WOFoRdmF3vo3TYW0wlcicREwtCPNnXC4sTXFOZc7wCmYFswsz2TNqpmeobC6KEoMkF06pl3sZRyGZYEISMQWMFhMpL0omnbimaq7F/cHtdnT16GCB01WSVHogy39hrwI4geEqCKeOGR1XrWTBlBSzmoHu6eNH2D3qKocVxfno/G4GKIWC+pPO8gkeJrti3aXvmugEO/D7nl/r/BGuRvheZimLaObSi1RDQ0R4rFWschhFtftsxJDHyxidpkiQJMLX0MpYe9Oa/ey1N2p6UrznfbTP74HvaMombZ+Rv3+3OhYsLKVawepwOKvlfLrALS52+RzB+uh0BkRCXsxntY4MWT3g6EBZDSSeFo5WhhI1RqF6RE94xuXCkytYsIYaplXcNI3OwZwHHFr9dErVToKaEvXc+WRuOBcNwhoRnQyhdBmXSUhFgRuCZyQ3Q/kr3vKJxoCmovwWDmZ6I19rGhMMwekK16sAMcqX0bnAZjUTzkPWftGAERAgKntjhrAs1NT8x7d7Kthk4hF10kasJMhwinCePk9SyY4fBlL+3rtada7bi79uCNUIaibHs6LPILiA1zujYEbh3OT2ur14u3G2jogZdbGM2Fy2do85ld/l3xfLxaJf7nQsYjecT4AakJXIIpWm83EdoblI/9VXAn5WAjMsqhWe7Gg2hLOaT8XnITWzmKy87Wxx73Z6bneAdSs1W6lEiN2HXXDwoOfUClJKQcjK/FzLhSdXsFzXrRDDHbZqpQp+0eS1rABmsV6ngzGrJ+UXfKa3Kd2upq4Y8AMUweSSPsZOXPeUOp4Io7dcsjFmMOibjGe0fb13gp55f3e/mB/29NGFmvIlbmbByq6MIkPxnxYIBFx6IxhxyShTNj2l3pzdiFWKukNmGit91JMqvJf/At4fip3+To7taTe9xlofLa74GThjnbMlD1U1wZrJzwOY9DuMK82VHWhX0ihkLGS9CU1pCHc6lnXpOpbigPTFCr2QUqVMVvBJhbNao9bwb72aLzMPt/F3jlb7BlouZkRM4ExADgesQKpuIj5rMVkRc4EFQZYj27bu+2ntVzWN5ULYcublwpMrWKUsWChVXDCQdjqDUhVrqcqdIwbnLI8iXRBDVYVMOo30P23nZ+wcYyzZQ0/XCPZvL+UvVLIMd//uXbfTYaEQsoSr2eqqdsOif3IOIEcFhqvBp4DDaTWFV0YWpGJoYo9zjzZRxoywESsDUCEBJ88AYXH668ZZQ92FRBpaTxWq95NAItFjax5aZSq/XfqsjfjNQxyovc5aBspz5EWEJrqoMR2K/8L8/cydV/LQ+Ie7vPzRd0rHkq8gdZZO9N1lPSmOltGxRK8qsYdZuM2hgfR32+HUqDaGKAwaqTxQOTmVO8XPihOdEX19OXd5nFU8FSaJyiODSKHEmHEJwq4VgKzMR6ZTBb1cqAx1BkFAjsRHkLCjIRwLAA0MntIrqDzVpv7HQqxUXhNQqei5C8EoNSvUhlfP63vRJpPOBVxV5GZFsrUlY7t999NP3/7+dzh0CgsOUn5HifxRWpfuKrefb9erhF/ClrMsiyiPvweeSqJdy60AxgFlVd80X1b58ul7heB0fammOtH0e/cOGlz+u4Bru0LjbzTohqEpQA36KsaM4ytUiteq6QN7mwFy6fz8k0+68twvRVqEmHtre4O52f8idCwET0HTixBBjmtJEqlo5gPH1WC2Z2eghLParMMO7LEycrLN/nCbrDZCr5pMHnv9ER5ZBMeKQUg+Qq1E0rIdq+mwHOm4OxfYZM7aU9AxUDkwZZ1B2XgeBQvmapcXmVN8/xJ81SEJ9a72tjwFQEjlEsh09soSZgdCFImS87ppnZS8VKLTtMQz56Mjvv3L3775w+8cJ2yg3okU+aOqdH/78NOPv+w6LQ2hJmYmRLfddOVwQPkyLry0c5VALMP/CopL5Q5SWIWiDBfe9PsxhI6lmyFcn+fjmlCxtVbzhkSBCilYYerOeV+BE4Y6Fg2gxpRUuFyNdjRVIC2C5+6L0bFETGSZBmGjcaDQXfVRp4hlZLs927VXy+kyI5wVokmFs8JktZOBlE8y/fDO92eTx063zy4h/OIjvA49QK8Ku2BbbRezGY5WoZdnumX9gekeHYt1w5PO+6dVsGQIhdom8CAmkYqFX52Jr9loYqRmZ7yQNzA23tlNvl6oJhVQci3UMKeqU2VLW3IUn4rEGFx/s/41Rcfa5eL4v5/+9vP9HWFg5KIDE+cTpcrlNDUifRo0ALJQf68L98vZqzROfoGQaPvg5cXcGM6yleg9qnsEQ+Agf2INdxT4ShWKFuq+cV+9fHX79pHVmL1BVGiC4DOLqcqcyPsSUA0g3b+aBKpMU5TJ+knpWMhSa6aUvbQsl5IWYylc5CplsgKCfBZy8BcO7C1buUylq7Z0PK1amVQ+1iCL+dR2OH+C5cLHWHF1vg1hF+xmW60Glg+7EAN4zCPd7wzLhadVsDgxlxZFT4QR1Of8blXHNMBFl41NCfm0MhAlgyi7XPl5632LnUbsO+Wu2IAtV7habtgCkzRztI717R9/Hz5oma+cTx8/v/35nXwYbLd2S4xVjngjh+K8Z+PetcBuUinLkChcaUFTFpnmi2K47KeKddJNAO+SQ0C1fplVrRMzaPGw7P2p1+60vTkrzhERHe6oJ6bCuJNl0EE/DcaUZAlEVrIBMiCkJB8a/3CXkq1M0p3l3zD6Lz4GKXXSHZUbPtMCkWJSV+xVTMQqSmd3vVlOMxzYAbULZ3VEoFAaZrNashdxMHqBQUvbhzg40CZwfxOhSRD2o8IumNTXPM+plwsjo9ecrPyctL1eAdTLnOhV+fkv4W2p/noBBBvIl32VkHRKyzluXr+AOp+NBHSsdz/+9M3vfsAwBdLpZPbjX3+ajCfoVX2n1ZGTsMzWAXeTCqqb+lI0aLTCOtKUarGguDXrwFZITl6G2Dd3XtbTvWMUwAi4lvtpIQ1EPlEKTkeKMeS5tZjNX7y8vvv8gG3UXJ82RnCejOpLINCrwJnbBGVoqrmRlI6Fht24cDuWcmBXHdqMk/R6FCt0JqfTJezBcjZeeOmrzsBLrgaWaZF4XlyyZuOH3uAaD3pRrls6CLu7n5Ti+Z/xWS8XEu4AHbT25cI6FaxgBRAq9QogUeq/CO2K1s2Xv8/Y/Kmo6aZKZ1JTRyjHvvtKulyhV1/Ibc2is3KtvcXi17/++Oa7bz9//HT78RPn0rwaHkK954NVrbBrApVTtUNtNasNUH4tanorfKgJFGCM674fCebDQKytz7ROJGI9tNzTspqffvn0zR+/+/RnAmfHq0yNZPifeHDHsVZoQqVa7UithdoaaMqsRuCPdYE6FjzkOqwGqg5ATXL6gJqCV5xtg/940/Pmk8xwVqVWAzPZl3jB3hHCLnB0Yad/gx899CeyXFACnCSYFOoKzu+yilrfdayCBUFc0AOJKFVc9dH2D0jpHJBxFemvDD6xGbMGq/WqWqe0dBqMU2ucXI1xVsqYJNRbLt7++78jGkbd0Km0WcB3IgQ5QvsALAkvq2TpdOCDTWHJLHsh8qxWI1ZxnQI5rtsgkztpLzjxqZCraeWOTVu3Pfe17W282edlp237Ht7trdnnhfOf7e6N25Djl+KXSQeIlynzXMzofGiqGXZNoPtqfn6TtweaDncm5czzXKCOBSPFahWR9lIh1QHEtV1OJo1ehLPCamW72Nl7q2VmOCsKaZMVClYUwLFPxHqQYwpxtLLZGyhhF/R1hi17R5KOagWpLLtxA4ePhKYie1XyMgsCK0ABGlUW4+gWx1N5ZCXNiyc7sXnZ8+dEncJVkHHHqS0ymcso0R3i2G5Rb11UL0UgGlJ1KtFpVKk0reXw1ZgBIug20go5elVtNTMCZJQpo0YnSIYcww5QFfm+GeoQOCWopcGtDiPQa66MloyT1dv4Xutmu/IWHXyu/tidPKzmt8tRo2+tmnefb1999/Lzv96qeO7xotT0RAK2eucJ9IBoMyhS63Jxq05dnINpzxeiY9GyXPnCRz5dEP8ccKJ0LJi83qzokDiwOy17McuMR0XO/WpgGguqp1k4WrXazhZPq07f7Rzs/cEaHKpCtGtUR3aikppUTFkoNpWXC7VCSXEUNVMLFu1NMe16AhGgL+QUi5pZuteJuPMfHqxuBZpfDSfiSrAlJDJ1lZgczsQsZWyL0JiF+LSiMwureboosSLShE4aQhdUGmRR9WqrWW2AzGt9fM4cIxaHxG62hGaVMHhFiNIyqGLC/UJhVARdL8QBhnnNHNjW377+pxePD+PVz8YHUEYp8R2cv7zJLxuv3bDfeENMVlt/9mHZbbsf3n7807/86YP90d5mSGmorbKJJErB8U+hVsgCpvrAETpWWuNn4Toy/Xl1LHiZarJKrRRcRRTR/wk9hXJDOCt82XMOt0GCcbgNl5JaqSCrJEIy2InAbrUdtg9iwOLoMEd9AATgGFOswZ0hLEKAsfINpKK3YIVD4Sm7XKhVKxQkrfnQmhlDV1HHawrwy0WraL3KnG7KLhaHU0TMCz5LTnOpen7y4CSqLa0Akai2tDoXY0l5YJ+fnHIYkY1FCkg5gGfOjVbFAQ5eo8mBztZ2dTPqQsCz9xYI0P0hyY0zTkZJ5CVSNg2v+brZajbWnzmHLhx4LAkkUicqrnPAhHq6Vgh8KVWAYTm9n73+6vVff/q526gSzseSoLa+BLFuOt5H72kxH33dWbje9NdlYywS1x61/IeEH5aqPyWFE/WwYMfzECeSrRBP0Q1h2AqlGBvBdKDpcBfJUPfDs+hYyHdtvzCujcwFdBEOlukOrmeTh01GOCsAnmo1kBjhbafBsQPtDn70KCWa+OFwOJvNUKeCFJ2O2oF1gG4D2cbVfJ6M8JbmMF8upKbkp1TMqJSiYIWncxiBavU8VTwj1kBknxFnASpI0g1BPloBjSpWIF2u1i1wY0grPZrQdCbRmU+/TNdMWTurFN9jrtsfdPscUNj6H//2ZwYPb2aLVdfN1waiSGqrmREgo0xRAs/wlKoO+q6/3q6aa6dl6AWyH6V1qVVZFU/dPpKVeXa3+O0/DZo9q1EcvDoFBvYKpqeV0pJazdZ24a3nlt2xXvyxM3mY3z/cDl72xrczziZMKawUfbhSF0NMO480hGyyKYtX6VglqT3QdLhLZUW9iVrHYrzPo0sE9WIBGrw0N1lp7MzIfGXLd5/tWnSZmZwAiPkKSMqmdaCR9I0nC4JlW+oAIuMOBxWsVgRhJ/QDqlVSNez1evP5HFLRUcIwmMjQRVCzkjNaONsl3EM82hL0M/9yZZEUqFZMEMk8u3ELg5jO9VgF7uVXPlmTY1JqFFLHkEHZcEPQqKltRjYRcfJZm65lHUnD33FxveYiU8f1V7/pD4cykzSbo9H1u/fvH+6f8EQezzcdp634b8CnU04KEHk5/daAF7ssLAvCXzHJthpeY7v8uBy4cv5j5sUEpN5R35N092QbCWONFwrnjeVi2X/VW/68pFKZtch6sW3guNJo7j6fmpvW1c3g3c+fmj5mU5ZaxsPR1Z01bmefaVZXN0iyIU6y6vTSBNIQFZtCiu6/YeLw856LqcsrXeldYMc6kY4letU+jKwhgWpCWLeIv+521+slVqtgCuB45k53tFrsThLUq4GoVoaQDbMJyXivq0ihEoTdzQu70O12WRZEzeImDJ9JjdFvbhwKlz3/PTpWqkYIK0jnl+pwZREm9eSiwmQCFqpVjrKWBSWZDuITycMkrlpSnpFa3VTJhkDTLahaQsqhDxQUucTXF0UzrcGlvzeEWb1ub9Dv80F28/LaccWF82lqdlxmndUygmWU6Zk6AOMLrsqOuR/ay/6atY2GZ/VGzpYDYRIXZvO1tfWGjTlehpRUVyJXHQkZLNO2FhMELav1+ddPb75+ta52rs1GKVit3UhGr5o+TPsjd/upsX1nrRabbWNt0elyL9hDl83NctxLNSR0Q/B7HCxV2pDaU9bJpBboWN2GxT+TzIZ5RLgQwkB7fZiVoX3X69VyucDayd7A9WpBpNDVYhZoVwLG9zFl2Z1ew2ovVxv+1atdQXXb7rTdgd0ZdYY3/dELp1N8eiB+2BirJpNJrKLaiMMrWBF7dYGPqEYoRUzQepTxC+VoV1plyp+mmyhVXGSlFWusG9QAtkaAJwUFy+qtvgm19C3aCUbRVDSSagejhtjL0xMbr03qYJSHfpUjoXJeGUGvJxM9QF1Ag718oOthQ1p/MOB3MOjRXtcvRv1Bb772V+tMi3E99ESgGLHIKFME7LkfxOzh4pe7efl9b2Gv/Y2P+LWcmNixNg3/0Zp6V6v+183ud+25BCq86Gt6O3M7DvNwhcvfMHNZ1n4VhZ62nK5ZD/SbPsuC3hI/m7Uve1piXKqAKq9IeucR+636J/jrI8AQ1IGmw11eHU7zTnQsvx4di8bFxim2W0P9kjMaZV5Y4G/LSlzLdjjcBqsV3rfJutJATOKP9/eNJot3BmFlkiAyUtAGMVaJatUd9UY3veEVs1ZG3pRkZje+TtGxYooIBDPlsW7GlVLswpL0BM1kzeE0WrXCFGUyKE6lP2oiLoxLmeTQ9U2YlVne+IWMMRVpg6ZioGkVmKaKdb5CeMAR2fclXMLYS6UUNqr5Tfyu9pcEQwr4ynBylDQZDgck8mow7F+9uHpCycqfJw4wAmD130CDpvYs2I6mn5XBVoNo0ltvO/quO5+vYX6r21SbmqgHV1NU25E3fO2sl9v7D9PBC7t5Y2HQOhp3GoBcrineGolHf9aYzSb2EF+y0lqI5Vk+RiyJ9aDLso8Cl7StDnm6nTTW643VLgYb9IS0ehakJdhw0KvEXlW+UgX4eK3MmXnZDjQd7vLyn/IdOlbvCB2LCiDqRY9QG5XMKBVtabGc0/Btp0fjYrIi8kLMxUqDYjVwRZyP5Wa9EV8rlDCQ4RdlhigzF6OxpQxmolr1rvtXL7v9IT7tmQWyX1D9wWDAWiGViuVi7gMR2kIs/dIeIZIpm2laVwE+G1J46RUzrMaR2WCfOcsq4NIDDCyU1UpVBSBBEUhVoFJET0g3CLI//w2EZvTHlCqcgVzdEJCkGj2DNEXHYDBUtFtawdK0dbpuq/0CecfxE+nU1lmtOmGlU3vO1K01fN399NPkqz+OJtfN5Wzj9NvbJxyOdm2xJdqnvX38vOgM+BBvje8WL77ufX6c9Bp1fpRLjQ34auiU3Wy0Hm8fnV4LzZG5rRQ7mw1rs9za/fbmbstmd8oSLVjtoxedsr1ytpstJq79kM+DrfOoLp2XLfYuzAYRg7xWAyOWrfZHxdu4U3btWOoCeGttX/qibZfyx4KfZR3YaT5cdVCxJZxVu83Byducw21kaz+TflyCLedTp9Pr9AaLWXxtzoQhQrY4Wu3CLrDIogWmSdmcPP1+n/ANkIumEs7GhMj8SOJlLnlBG/of7RKQBzegFrJNzCJGn2hhdvzj3pwDSWMVjWTSKvkodpI0P9NlvQ2L8YCy1MTgbf03DAx9wUCu/E9zMrCJkEvT0e1Fdsqwtsvm5PpJjEMsZhF0Uql4uUt99pcN5Cxmm+nn1Ytvuqvl2u21V8rRakcyU3yLLVHYFBvdzuDp/aLZ8t03tvhs1XjVyjDYvxwvm22/ghsWbefNOSquTdAKXT+x4eGbzHYLpQSKsmX8uVy2M+zYoEYF5llBJLjiE3aNjA+D0jpWOGV3f2idw11KtvMmoWOZ+2OhV+nVQPOx6W09PMLp5xyHjKo9mz7KSclp2hXNhA/jUvlLJ7UrzRU8tAjn0+2PSjEJ7zAcrVp89HRG3dFLTmtGBppXoRAXYx/iMWXFcjInYspCa6kRVwxFhUet9vHLrA15AQSqQApaF1eQmHVzEgULmmSsfjlXje0KKO1ZJXMwIeDUhbZbI0M0KD4zvhwGPyOlNIhcev6AdZp7OQTRc7VcHw6GQSdmC/1g0A9KYY5fZsV4O++kALbzIgx4UOXGWuPU2nZHzurDdj4W7UosV9ZhBRAzAWFHMeosHr3vf/+d2+tMPi6uXrurVnxxoQr68mWEur3+yv1CrAsHagN43lo77QX9JXhTfOMt0NWbnI+zy9rmgN6tpewl6FkkyglYxpeiwKhH6EEhngZUbKdaGaOpKWOKjnWg/XBXE7ZjwRSuFcJSMXjswxaa4EOlxc1usZijktmdPvsEZ+P7JRGt0iZQ1KnVmqXDNV7Xae8jCDfr5Xo57w9fRFIzHsRMg6OVM7S7V/2rV/3hlYn2kAEsLznL7Z0eqLUWrBJ55c/yTltGtGrF3J2KE2qhOWaNS+YsVsGSZQpTaJuwxleY/9kziHw57qJJuIABqHrVqSRdoAiEfvLtF5JyWukZ8EdNHGUbV3aSox+7nUj4ALyvnp7kZDj4PxunS8BalR1TFpWt3vl7iGoObFOiSi3Gy+F17/HTZP2r77U9/FJ6rQOfyUTKdtMY+u58Ort+Pbr/y0Pv9bb7lbP6ZcOiSQ3Em/J1h0oPN37njVXjhUQgchaRNQ7pEoRjr7ol3l8xnBs+jlZYsTh1p2OtZpywITzx1e7CrWQwJloJh3x5toOWn6kGRhuBiKzDGtfSCPQJMmHHumEDQqOxUKupAQZYynxcinwqzt5AZA0H9qFczedjfehNAPNw4zdYCUSp2jvq8cYIFZ11O31Cx5oS0CG9uVkNbFtNm6Ag7EB03eKNgQeqqt6hHmi3dzFmRzs2agNvubLUmqo4TcuBmnZkzyD6U2EZsmF7Q2WE7KyFqZNYQZicviwFq5CVqRnoHNpYpdVYZasSWyKyODV/3YkpbRftrnUjrA7vPAxBL9pdNIG+mKSqUY12Baxw2dEQfyy5VjiUsrdLP5zqN4I6C8kuE/0tSmpW/nOnq9aANtUWmGNEk1g8Ltye41lbHNlstsp5kXNymEKwYHGofcd27j/c3bx+gVq+ztUhAAASyUlEQVQ2fbcc3NhrJ/1TslyljPiaApLlP/c3eFg1G8sUEGhCGzaWqnW9lML5SRKRYtu0RXH3bI8V0tUTfFFfay5rRFgthI/5MMJvgZOaX7WG/JAhY7oNgznfvchLKhipYuThfKQYYBI7FkdQ6jXcvclKHNgNyuosmKkwWXk+tlz2JrdwYJfzbdJ2cjAcWA1cLFmjEg/2PQZzVPjzeSw1DoYvUAD3xeUvhLPZsOVwBCZ7A18Or192QqcHhnOe4h4lBrd3thYmY0Jp80ShZah2qlCtQMrQYB5PUpWFjvzE+sK2QvHUPOmpqVn/AyemyqOs+tI5NDdh7qmNVVk0CMGMsmDEZeW7jPSdAK0kIExqEDSfzBw1Xfd3d7brDIej3j5KHkuEIGLszRJhXXY4S8i9GqgMY7uwvgCfhCK5EhVdT72G5YnBJvmO/VYc9ojhpt1sbBvzu0Xrhybe7d69tb7ZjL5zZ39bcaRMAuTJE1bbjfUKFWoz/7C5cjphVYAqbiy/1W0sphttdipLDedbehufQ8tEuRz4xL5qr2zLlr2TrWFjiTVr4zRK+vtBFU0QsF81h7SHpi3cc8pSe5r8OsBv0Isvj8BotdGxXjaylO1o1tCTdBXUcCIqYStqO4v5JDXggi5B66Nb8xsCoG9LMwdT2eTpvj+8Zl8Ouh2aFdsD2VfCmmCn29cLLwks50jgRB3c3rWRIowPFmnLkF6GC786xb22WjGVc1WDj1UFNqKfJe1e/1CwhKWB6Mnhr24GMtD8ST7mFDzVK+YwNUnFBlwgpU6FtwpcJDvfT1q+x+itAm5XRs8bZs1XDo2IQg9nTA7TZPyPRqN+b0AH6HY7n95/NOkt5dDFc5dmkZAk/SFNZ4kDP90z7SGUI9DzWLSypp/m7FBS9p4YwSgFqAVEypDO4i8a44dHbANtqzX9ZT34we282fqfj6C/NF8F19rymq98fJCnH9bXtgRFCyiQeg4b9tAiLtr63u9W2cROlRurR1YHra21bXWs9a3XQ19DznQ27F5aftqO2iXVqz19Aal5zbHP/Lx/aW2oRS3cS4nnJScPu2wMbDYfG41vt62nxnYcXStMLamcuFeUIpxVc+vlnMfMCGZ+UYuBsaGhAR/6Xiqi7EQCPTwQHRTPd8+3iFbqpp1vk138VG9YJUyN9k6PPcPh0Mh2GhP1qLJqFfBFK4XoWIAKLxfWr2BBcRhBQMGXeIOxCs2UGkF8Lc1QKxMqD7ZaqTADVp/g1K0hWBmEqULIjKKCXPRhdCwC9tLut7e3Dw8P+LzzyLBPL3ne1khiq4/D6fXLThVjKv9Jc6Q5gMcKtvym94GDkUW0pTZg0KitRuv+355cdYhye9l++suivT3CAzbJshhlaY/qRGp/s1rPPm5e2KOQciWfC95w0xo0pk/rzcN22EL3SgNRlCYdGmtpwyZExXqyshaIHGKDbZtDH/OVs3axZhXBiLw/jBA1RiLvDJ13YmVO/ajqR2dAcwla/9Q4y8KHq7GYC2+b3m+3rOTm6ViYrPjHyTZ4OLEvBgf2LLw4sGO4wXSTOiiySpml7xytVht/eP2GL5Y0w5gZpBPk0j5MHA6NY1YMPIaMwLwUe3XMI00JWH6R7TVyG1AQjNLGAAayprB+BQsEx+uDx7CvbNmwPNoxRXGfdPXlcdifWRbySfMz3gU+Yj4mfnk8nd5xbJVitBqD2zcSNatxSOSgR9TxtYdGpfPwgfLw+DAeP6Vzt2q10ggohpWa4+xtrvUqZTWTJimNXwqhWxxmVKkWQNcffGezP5Vi37lpf9d7hsVBzBOLp+XmqaFsV9AbUgpxmbI281vPnjpX0dA+ac2amhZpySZn506IsSaJXtMjHPf0Hr2tRK31KAkPkAjBCVGRStMzJkJ5jOBnJCZArfUqzdsgUd/8nKFjUREVzsonBjrnIbMamBpwQQNB3VFWj+RqYAxbpLfE3qU+ik6Ic5+sBuJh1eeMZbKJIU3FuE4t8iyJ6AzYMnDJSrq9o0ugr5AhUFmOoZBGBJRqnTr39YdJgk7qgilLE3wSBYuF1TDKC7/XQzpsrIpZ+S6W/tJz2jPXpIKA2BVhSJy5suvZdN3vudstHUOzDRIYMxjXF9PFyRhZmkUHSuL6yuFNrXcxveoY2CwISeh2BWJXcaDjzb5Xq44BHi1bla8cNdid9yxbVKsoRElp+63X//Ti078+xV6ZPcYBUkqYqy685lHxW6s266OF0Ha0wcrEKCFFyzcFvBDSc2Q41E/uwgQ/BzUHnPCNC+3qkJR2p3Usgu9P1FohrlOr9Yr9G3g44WJVsBqI2sWCkmq1AjT7jpFGQkoaNisOD+TYHAeB1e2howSZmN2w39SlsgRgj7yBQrQrdCzsWGFqARusviF+kz3cEC9NSa3JfAb3HuwyYEHH4qZ+BcuwwheSTWvHEEO346rcfmeuDnTy+Z9ivlIfqWfWReqvO6NBAX3G5sCOMB9P3A4G7J0JAX8sBozt2B4ON6uQXbNINBrzxwhQTiZenazp93oVlamvVZS7VcgmZMypchlzWGYAKDzFUnXm3GAllOVODlPy7Qdc8uu97LW9/uh3mSOzr/0oMWmQU3aNbAqL36Q1jWLy6XtFNnFarwrYm51x90Z0LEyO2829tyK4i9PpE+eTcOpZBdVqoGwPrW8kBajkgBvOe262CbkgjlaptWCm47vx0nQsSMXtnbVCNCG0k6BK3MAotCsIhnKEcPhV4T01BaCGUJi5xgx6fTNvANeI7KJAwXF9wXTxKNT22ZLN9rw1oi/qJUK9yvK8xJhgV6KkSMpTJwWLzCdTFEyI3eXxlpxUMXcc8RYiaTbdBSDmmxA3VGIfac/cEhCPzpo2Hx2A7r+E62SerrtAPFWj5NfpULsLuQsrhd5c7FitXtMfc1OKwILcgHV8V3aGpF27RlGtkvY+kka7Sf46O0UEfvWHCA8iD5rmU/W4bIpZUSu2WUWLM9+zGvjvDet7u99qOx/njxixolkOT3hZ4cDOVbI1Isw5gAvfCeWoVnbLQa0axBSUcEZ9r9UUsp3BopPEnpOCBYtPWS4+XcLZ6AyQio7F3M2UHX6VdU9OVCtq+lx1RLuoWcGiSrrlsur8jOkYqyAPWQOFWq/SxJB+/pF8PB8MxtzxSOqCoIjlJ02u7GYLUF1YM2DEmj4+9od9PLHoM+wp1OyA4E6/s5zM6uKOglNLe+r1oDroEn1BHKRO3SbAh58nxFILXzM42twQxGhq95vbpy1LMrFc6LtEZCf6AnIn+qoiTXqkAKo0u07N5Gj1yj+lMOTkHSNEJYzVjlahtOJbvs3XGwJjOmzK26xXf5nd/ZetS3jKu0RtqMtOtcr4ckyUCGPPfckotVqcfhCsBuqFsHD5rHtkGmYhdKxjlt6ygB+TjmqFSpTq9g6petGJmxwU5OGigs+lWgW01axgUSt0lwD6s98wciAJvYourvtTKkmlBVYqlDMnMi19UWuEyImQfrWbLBA4F8t8CGv5HpECbl6/XC6W9J+ghZstvBtqHDsFMlTjNckU4nBAbJmbwA4jM8GxwAwQm9TJAExWltOAp2PQffnle20xXhCZa731YloUb73BtvPSWS/Wk/eLnuWGlxqz6M1IDwZLlRbRPAhozkBx9uRD0xzuYkRkaCOxXEc9il5VJkYoyOCkhLPi0GJWA1v2ajnDh10T8d+txb9sxe5yZ+0mQWxVHC+IdlWl5QprhoOehZegI0c7d4lZGtPjC8tLXbSOhSLCfXGBc+VA7WPiHo/HxCPd9f49argJqVm2N0pxkefZVStNb42ThADEgpc8ynHPmfP91VwGH5MivM63KMba73xUHokpw+yv/GQvaKgor7B9Vfe8hr6LGs97+uJ/oXf+9Lh5cTWbyfogNPMpyr9Ww+/aIpzjBU72bIoJKSkdo2QHCCpStmAd9YWpcLL+/mDKsip1UGwWmjmcsGkTnSLO8E3Taw19TvvpX7nOHzr3P857nqumwBJk7TpYTR8hikSwx0mtUv8jy5jy4DQdQ6w+cpVVedUnuoSzsm0VzmqWcrjNvzZFx4LFn7fEYE+NFFqKd6mcgvQWoWk5vBC9Cj2PupQCGs5MHz5DxKkwRsN7JnG0KzbMsWgY0x21rQQdK+yShemObJejWulq1qxg0dL1C0qzBgE1TQKLIYAGuBAF1oz2KrlQpA4WlSoAzlNGjXwtAJACpZ0PzkNkDhaf7TcPn25nyyW7g9CrcMhig45ojdVlWgxdMaDiHCGQZDadQgO5/Bx6VUTzDtH/hdzCY2kWPPG28kWdoLpLmA9vznmLd8vB9/bN73vjDwt7gh0rkTOZoMYLINPgJnPnpUSw7RTZvPxnfxchMIkdDtQ7pwBNPoyCnp9EmZaiwllt2JLHprz1asHhNrtcCfIh+L9tp//idRZ+47b2vQ8sQ7MgyH44t9vp4boQ8QRPI9w0jekSfQXthMu0zOnz0UzoWKwVYrjhCiOEz9BMompMlF5xzOIK57mE+5oVrPNXCc6iV8FlE2PV+ck7EUaRvCIjEuP7RPgqgaVRZKsjl5B72bRmVFDmTeLRTafEHXe0XqVz1sb42gAFNdj1jZQ5f58lmF1y8uzznuxvpOLQLL2lRnoi4E9SCd2pUcC9pdckMH3oYn9Ys9eYz71Oy3V9e/q3lf2bbf+1u5zyTXTYMB8qsbuFCdwBOamwJTMXpiR5AGAUjGAXZCGEk2Q4kHW4y0GkaK6hb6BXMVnkIEq+glFE+UaFdlQ4q+Vs6nlR15+gndTHY7Aa+N8a0//a6PHyjhO8i65sLoTeiF6Fo1Xbxf2zd5LzbbS+ArEXpWNBDxYslsWY39nRneQlOtYl21MiciFJfakUbT0qVaRaZsSQNlZRnN6Q7+9WiKImaVaIp+YMWhYngQazZ/LVeVKQYyDaL2sEEsjYrHIeKg2xqIkf3TBisArJPUMwx2SrgI0iB74HuIOeUc/0HcC9vJsKLKtUCSQ7IbJWT55rRUQ/c/ny3rdWLXx0AOxazuod68obO+NMwd1YRhLV1zRZPBDtip5QH6JynMsiKxcKbIFF1ZhDwQomKxb3iDPMx7vtdPAxyQtnpRxRRLWK+ln9v40ZOhbVMtGxsmuP4MFq1W6yObA/OPV5zMykLLShshw5pWZXp+KbbreL/he4vdOmEEl/wGQFqSgeWS5ZFfHVV6xOBQul56Q2usBYBWfpz3Xh2km3+nh6NkgyifJ/JZlVN5FwUeigaULfx1HKkOnPKNmrV5hapKgr1eEdSkb5c0g/3BXnOOQ93EXIVQ2jukok+ZD7Ge5SqkW/gVJ+n4Gcqih9Tg/kWOpVo5VY+XM91w3Zqpy0Ywr1kAH5uWsNj59lJEaaPfJQ2AIVuofSq/gphH3IAJYNIVjkcJue7dprglkFq4GHXLs7yayCsEvzpWE5TseS1UDfIvJDt9sbOGnGmwRFNSQwqzKPX6COhQoFYehYV1dX1BO9StiuLr5zeMS+hRIWJNbAizpA1Klg0Sqn8HDXzmswjuvSNOs6mqAiDCWd9UbCihBqKCZEIFpoGf6PuYSliBzJWgPWM4OIkpxSrTPTY4BOrQRJu5BXGufLuOqh84wN1Gw0V7eb9srGSJLL4vhbrVqdrmXi+OLEEUMf0fGMVxGBaaTBLvhWyDSqRnOUU6ywQvn4zDE9N/CyarUcTg3MCWfFEjAHlbKRsHBoVdGxWMNtEISd4216qFbmYRfSeFYlDeMFTL40mxBNjx2LCA6Pj4/8xlZ7IVi76kM8V5Vqn6ZMm4hedTWhSe83rAWgoEoDhF91GatSsReO2NRSl5GInHoGOSntovQqkBPnJ40VVQRoGpznT6N7HDp2ndUqhlWcI4U9SuOVdAh/hr6RQlE8KbtaYVbHS5k9Z8M2K18uFx3DWRIOVGMt5jb5QSANc8qmMeEBBKCGJD6KylW/XG4TsoogKrIzdSzYW2U1UBYDV20MVhLOap1nslKrgbI5MLoamGq+CqqCjvV/WX0k5m2RPxb2KnHRazpdVgMrhV0IkB55g02IORebUObZ9kciKFMcXQplIHC0wiWLE3XQsZJ6CxYsEr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bpy\\ns=bpy.context.scene\\ns.render.engine='CYCLES'\\ns.cycles.samples=32\\ns.cycles.use_denoising=True\\ns.render.resolution_x=768;s.render.resolution_y=768;s.render.resolution_percentage=100\\ns.render.filepath='//abandoned_village_cycles.png'\\nbpy.ops.wm.save_as_mainfile(filepath='//abandoned_village.blend')\\nprint('cycles scene saved',s.camera.name if s.camera else None)\",\"user_prompt\":\"Set the final abandoned village scene for benchmark Cycles rendering and save it.\"}"}}]},{"role":"tool","tool_call_id":"call_n8RgSZCmqRY11pY13zmC9GCq","content":"Code executed successfully: Info: Saved as \"abandoned_village.blend\"\ncycles scene saved Presentation Camera\n"}],"usage":{"include":true},"tools":[{"type":"function","function":{"name":"get_scene_info","description":"Get detailed information about the current Blender scene\n\n    Parameters:\n    - user_prompt: The original user prompt that led to this tool call (required for telemetry)\n    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