{"ts": "2026-07-15T01:00:57.247415+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\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. When you are finished, reply with the single word DONE and no tool calls."}
{"ts": "2026-07-15T01:00:57.247415+00:00", "type": "user", "text": "## Task\n\nComplete the following Blender task:\n\n<task>\n\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"}
{"ts": "2026-07-15T01:01:30.830694+00:00", "type": "llm_call", "call_index": 1, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T01:00:57.248419+00:00", "finished_at": "2026-07-15T01:01:30.830694+00:00", "duration_s": 33.578000000008615, "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\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. 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\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\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": "2026-07-15T01:00:57.248419+00:00", "finished_at": "2026-07-15T01:01:30.830189+00:00", "duration_s": 33.578000000008615, "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": "18483", "content-type": "application/json"}, "body": "{\"model\":\"openai/gpt-5.6-sol\",\"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\\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. 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\\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\\nball, plain white on the floor.\\n\\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\\na soft believable shadow under the ball, a hint of glossiness that catches the\\nlight, and clean framing.\\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-sol","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\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. 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\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\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 01:00:56 GMT", "content-type": "application/json", "transfer-encoding": "chunked", "connection": "keep-alive", "access-control-allow-origin": "*", "x-generation-id": "gen-1784077256-xPF3HEBDHPCFXfuY3R4p", "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": "a1b4d54258dbf781-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\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-1784077256-xPF3HEBDHPCFXfuY3R4p\",\"object\":\"chat.completion\",\"created\":1784077256,\"model\":\"openai/gpt-5.6-sol\",\"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\":\"**Executing rendering process**\\n\\nI’m considering using a focal length of 70 with a distance of 5, which results in a field of view (FOV) of 28. The object’s angular size ends up being about 11.5 degrees, and it occupies 40% of the frame. This seems fine, so I’ll go ahead and create everything and then render, making sure to save the blend. It’s simple but crucial to get these details right!\",\"tool_calls\":[{\"type\":\"function\",\"index\":0,\"id\":\"call_3PioMtYAkDBd7YQa07Zmxvtl\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, math\\\\nfrom mathutils import Vector\\\\n\\\\n# Clear scene\\\\nbpy.ops.object.select_all(action='SELECT')\\\\nbpy.ops.object.delete(use_global=False)\\\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\\\n    pass\\\\n\\\\n# Materials\\\\nred = bpy.data.materials.new('Ball_Red')\\\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\\\nred.use_nodes = True\\\\npbs = red.node_tree.nodes.get('Principled BSDF')\\\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\\\npbs.inputs['Roughness'].default_value = 0.22\\\\npbs.inputs['Metallic'].default_value = 0.0\\\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\\\n\\\\nwhite = bpy.data.materials.new('Floor_White')\\\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\\\nwhite.use_nodes = True\\\\npbf = white.node_tree.nodes.get('Principled BSDF')\\\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\\\npbf.inputs['Roughness'].default_value = 0.38\\\\npbf.inputs['Metallic'].default_value = 0.0\\\\n\\\\n# Ground plane at z=0\\\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\\\nplane = bpy.context.object\\\\nplane.name = 'White Ground Plane'\\\\nplane.data.materials.append(white)\\\\n\\\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\\\nball = bpy.context.object\\\\nball.name = 'Red Sphere — 1m Diameter'\\\\nball.data.materials.append(red)\\\\nfor p in ball.data.polygons: p.use_smooth = True\\\\n\\\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\\\n# Set custom properties to make dimensions/contact explicit\\\\nball['diameter_m'] = 1.0\\\\nball['radius_m'] = 0.5\\\\nball['contact_plane_z'] = 0.0\\\\nball['lowest_point_z'] = 0.0\\\\nplane['surface_z'] = 0.0\\\\n\\\\n# Camera\\\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\\\ncam = bpy.context.object\\\\ncam.name = 'Presentation Camera'\\\\nbpy.context.scene.camera = cam\\\\ncam.data.lens = 68\\\\ncam.data.sensor_width = 36\\\\n\\\\ndef look_at(obj, target):\\\\n    direction = Vector(target) - obj.location\\\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\\\n\\\\nlook_at(cam, (0,0,0.44))\\\\n\\\\n# Key area light - large softbox\\\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\\\nkey = bpy.context.object\\\\nkey.name = 'Large Soft Key'\\\\nkey.data.energy = 850\\\\nkey.data.shape = 'DISK'\\\\nkey.data.size = 4.0\\\\nlook_at(key, (0,0,0.2))\\\\n\\\\n# Gentle rim/accent to reveal sphere edge and gloss\\\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\\\nrim = bpy.context.object\\\\nrim.name = 'Soft Rim Fill'\\\\nrim.data.energy = 300\\\\nrim.data.shape = 'DISK'\\\\nrim.data.size = 3.0\\\\nlook_at(rim, (0,0,0.55))\\\\n\\\\n# Broad top fill\\\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\\\nfill = bpy.context.object\\\\nfill.name = 'Top Fill'\\\\nfill.data.energy = 180\\\\nfill.data.size = 5.0\\\\nlook_at(fill, (0,0,0))\\\\n\\\\n# World\\\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\\\nbpy.context.scene.world = world\\\\nworld.use_nodes = True\\\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\\\n\\\\n# Render settings\\\\nscene = bpy.context.scene\\\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\\\nscene.render.resolution_x = 800\\\\nscene.render.resolution_y = 800\\\\nscene.render.resolution_percentage = 100\\\\nscene.render.image_settings.file_format = 'PNG'\\\\nscene.render.image_settings.color_mode = 'RGBA'\\\\nscene.render.film_transparent = False\\\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\\\nscene.render.image_settings.color_mode = 'RGB'\\\\n# AO/contact depth\\\\nscene.world.color = (0.8,0.8,0.8)\\\\n# color management\\\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\\\nscene.view_settings.exposure = 0.15\\\\n\\\\n# Camera clipping\\\\ncam.data.lens = 72\\\\ncam.data.dof.use_dof = False\\\\n\\\\n# Save and render\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\\\nprint('Render:', scene.render.filepath)\\\\n\\\",\\\"user_prompt\\\":\\\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\\\"}\"}}],\"reasoning_details\":[{\"type\":\"reasoning.summary\",\"summary\":\"**Executing rendering process**\\n\\nI’m considering using a focal length of 70 with a distance of 5, which results in a field of view (FOV) of 28. The object’s angular size ends up being about 11.5 degrees, and it occupies 40% of the frame. This seems fine, so I’ll go ahead and create everything and then render, making sure to save the blend. It’s simple but crucial to get these details right!\",\"format\":\"openai-responses-v1\",\"index\":0},{\"type\":\"reasoning.encrypted\",\"data\":\"gAAAAABqVtvVMi4Yptymteyy-9Qwoa-JRRtKiNdYcGTSPNAa2CqBy9aKOzChp9an3U0qKVlF2E9KWOZYrFjFjFiECQS5qXxFl2sFfnYRKAw2bTO9Dgh_aL25zMbDPfLQGlh3jg2fHtsjRPze9nJs_8OGOmckwvcAlWdOKTlgvkyixbOLwdRjSABYTEwgTN7MHuFjO7j89LsxteBV48WdT2TBHi4TapmwW6Kw2SNCZtZ5xrevag7t6k15UCaScMLu5dOZGIsrmLKLntNwVZjpbzRldt5-XNUyJb63jtmJfR-QEJIT968054ExwHvgll0YPkyHQe-L6d696UYEzAqqfaVArnxX5AFj2nSTHSxKQTIn2vmLzfsNZxAiYEBc7olrIuaCqv9e7OokD89oIvVADGbWw0gFsbRYaGowOJeGGp-JXzs7ctmn1Jbj5ckMB68kZEurlvZb2eNjE5kTmLMX6Vt6Y_nSJCXn_wQ8YmXXsK6q6pCyckXmXVH-s0FXmyq8nY4uq2UvOtoD8ck8pi8tIZeQ2i_quAoz8SeMinT8SH-ZW-lSsNTt29TXcWajcQOmayGD0RivVsJMfFsH8jo-N_71F8AH-RyUYgHi-SvCijFvjj-u39Y_eCD8bFxr17slmJdCh8vkGzqGBEk1m4sOM_Au4hMXLxLxn3uvYq97fUy2-5YxCDO-mPQFl19_IT27VO9im_v3GKih4Vihd79-lZZfiB_G5BWdAIUY971LiIA8NFmejFKJT_-I8RGdtq6CTFBxpWyWDyL7UPzW6h36Y82BmtN2ERRUnzIZniud38cfisEVTI-wi0fhkh3ii0H2n_pLzlkfwht6i5EAsVx4qtQZnI9L6HzPTjNdKZaGNQZxZirvZRQO4vndONaSV66Iv74oaHMi4obyDEKcBr6OO4pLrBhLm_rmaMmlnZhPLw3csy7gy3uZmXUndgg8Mgc6eLMNHFSBD_XuVWNkHPVLRl3leW8_Dz5uOXkj0WyNgsNyzBCe3UB6jZCZK_ACisDyLjf3b3WqKB5KuMg3ZqEeUXKTLcSUdmBR3p6rloCNULPRiO3ncC6VGT79pkoEXEaa_FZWuiQH51zFIXVSiCIdTCRnYJ8SN_ICRnfJm4YrZsaZip4ywKd84geG38QsdhjZ0J5J4b7YM36c1rt1wD49AWUH5ERRjUlwg5Lh-2ui34E7qoPQPoXc2jI3IxmuDP901O46EMEzWH7O_vMKaInW2SBzyqCuAXIGHfHHGFfwQii7Rpa_X-TsyeRhvJwoLKHqW7LS-K0CZhR9xdQjIsv42W5EJp4PwxATfYMoDRhkP5kZ_OYWkkf_nxVGPywhhl2t_CPj1kFRvnFGWriQtJjBbbWktbFy5XvMOCapFE1Oi3t_cKXaoma8-0QdYqoaJfvsOpjw2tHrZlscLkXKllA722wUh63dSxRI0YYvFGwpOzwNBxv-U-9spRI5h4mZinzPoCisyzXxsPFGkEpnbTakCIV_QlauuVdt5z47FqXNVu1BmPpYvW6Bw9ff31SptNLagtb-XKxT6hbB9AOXIYh2GMdRQXYdFNcAW3nQX1jkt5es2FyNEk9Yx2I5H6vkaIiqdpTJCZmemvyz8GZ2Lmkxp_J01HI7DnhzWvELS0O0JH9bV1XUpBFppWHkhXwwLxzZsSZl2HqXkL4vFrfwmBOcDM46GunNqb78l9EOYuEbr4JiNZqogW1mU8sUZyGRc3wZamT6MOOBjT9uWrcRuvabpVMa3S4egKC5wgXv0HezPtLNrswE35fmjwHI6UDYQESL9SMaAZg7SmgdMPxgTqUEUuTE5iO8a5pKU4wG2dfLoJs9zVR4AKmX51v8vd6tNURuwDXDld-cSRGrd1Yqty27q_vZfRD_hfDskxyI5pMe2lSO0jhpZk4nYiTUaXCUT-BJ19cLHwOp82JUtV8aYI75xey-xvs3KFvboT0dqjFRQ_WRFTKiX2aYBUEE3IdgR3G70J-AsXJUfshdJADZLfI4n3cjdu5yzdoJXBIgWecT2pbwoKKnSJtwmMFrRNioIRkleFH1txosbeYFJE45b-uEGHP1RkQRbK-SAeS7TWPmIRl_t6KaUcWELs6s_4amHHxImhBzjF-16mDeNWaJ_mdjox6BZ4iyb5gIoHlNEBdiDZCfzqlrKA5gByWbMcPrOgBhM6JlRQk5JRKFDF-SfqPz-jCWUXTjxpXhq_GhTgjbLKeu_Dy7L9Kc_6SSLEfRdFbds_UOnDfxv05Ptg17vME1kzInwpSFqD8pmtBnQ2Vg5QE7Wn4p-PM9oavnS82xmSl1xfCFOTw2ys26eAPPkq_xVbxVrBoOE7FP1JkAouXyzyM6yaNXKJ2OnXjxsMAtkLO7-3i87a_tc_a5-IzsTbTzftnfPm-spSMCOg==\",\"format\":\"openai-responses-v1\",\"id\":\"rs_0e60803848036b42016a56dbcabe588195a85b98305eff3a10\",\"index\":1}]}}],\"usage\":{\"prompt_tokens\":3233,\"completion_tokens\":1626,\"total_tokens\":4859,\"cost\":0.0689825,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":0,\"cache_write_tokens\":3230,\"audio_tokens\":0,\"video_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.0689825,\"upstream_inference_prompt_cost\":0.0202025,\"upstream_inference_completions_cost\":0.04878},\"completion_tokens_details\":{\"reasoning_tokens\":288,\"image_tokens\":0,\"audio_tokens\":0}}}", "body_base64": "
         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         

         
{"id":"gen-1784077256-xPF3HEBDHPCFXfuY3R4p","object":"chat.completion","created":1784077256,"model":"openai/gpt-5.6-sol","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":"**Executing rendering process**\n\nI’m considering using a focal length of 70 with a distance of 5, which results in a field of view (FOV) of 28. The object’s angular size ends up being about 11.5 degrees, and it occupies 40% of the frame. This seems fine, so I’ll go ahead and create everything and then render, making sure to save the blend. It’s simple but crucial to get these details right!","tool_calls":[{"type":"function","index":0,"id":"call_3PioMtYAkDBd7YQa07Zmxvtl","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Clear scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\n# Materials\\nred = bpy.data.materials.new('Ball_Red')\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\nred.use_nodes = True\\npbs = red.node_tree.nodes.get('Principled BSDF')\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\npbs.inputs['Roughness'].default_value = 0.22\\npbs.inputs['Metallic'].default_value = 0.0\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\n\\nwhite = bpy.data.materials.new('Floor_White')\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\nwhite.use_nodes = True\\npbf = white.node_tree.nodes.get('Principled BSDF')\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\npbf.inputs['Roughness'].default_value = 0.38\\npbf.inputs['Metallic'].default_value = 0.0\\n\\n# Ground plane at z=0\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\nplane = bpy.context.object\\nplane.name = 'White Ground Plane'\\nplane.data.materials.append(white)\\n\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\nball = bpy.context.object\\nball.name = 'Red Sphere — 1m Diameter'\\nball.data.materials.append(red)\\nfor p in ball.data.polygons: p.use_smooth = True\\n\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\n# Set custom properties to make dimensions/contact explicit\\nball['diameter_m'] = 1.0\\nball['radius_m'] = 0.5\\nball['contact_plane_z'] = 0.0\\nball['lowest_point_z'] = 0.0\\nplane['surface_z'] = 0.0\\n\\n# Camera\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\ncam = bpy.context.object\\ncam.name = 'Presentation Camera'\\nbpy.context.scene.camera = cam\\ncam.data.lens = 68\\ncam.data.sensor_width = 36\\n\\ndef look_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\n\\nlook_at(cam, (0,0,0.44))\\n\\n# Key area light - large softbox\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\nkey = bpy.context.object\\nkey.name = 'Large Soft Key'\\nkey.data.energy = 850\\nkey.data.shape = 'DISK'\\nkey.data.size = 4.0\\nlook_at(key, (0,0,0.2))\\n\\n# Gentle rim/accent to reveal sphere edge and gloss\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\nrim = bpy.context.object\\nrim.name = 'Soft Rim Fill'\\nrim.data.energy = 300\\nrim.data.shape = 'DISK'\\nrim.data.size = 3.0\\nlook_at(rim, (0,0,0.55))\\n\\n# Broad top fill\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\nfill = bpy.context.object\\nfill.name = 'Top Fill'\\nfill.data.energy = 180\\nfill.data.size = 5.0\\nlook_at(fill, (0,0,0))\\n\\n# World\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\nbpy.context.scene.world = world\\nworld.use_nodes = True\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\n\\n# Render settings\\nscene = bpy.context.scene\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\nscene.render.image_settings.color_mode = 'RGB'\\n# AO/contact depth\\nscene.world.color = (0.8,0.8,0.8)\\n# color management\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\nscene.view_settings.exposure = 0.15\\n\\n# Camera clipping\\ncam.data.lens = 72\\ncam.data.dof.use_dof = False\\n\\n# Save and render\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\nprint('Render:', scene.render.filepath)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}],"reasoning_details":[{"type":"reasoning.summary","summary":"**Executing rendering process**\n\nI’m considering using a focal length of 70 with a distance of 5, which results in a field of view (FOV) of 28. The object’s angular size ends up being about 11.5 degrees, and it occupies 40% of the frame. This seems fine, so I’ll go ahead and create everything and then render, making sure to save the blend. It’s simple but crucial to get these details right!","format":"openai-responses-v1","index":0},{"type":"reasoning.encrypted","data":"gAAAAABqVtvVMi4Yptymteyy-9Qwoa-JRRtKiNdYcGTSPNAa2CqBy9aKOzChp9an3U0qKVlF2E9KWOZYrFjFjFiECQS5qXxFl2sFfnYRKAw2bTO9Dgh_aL25zMbDPfLQGlh3jg2fHtsjRPze9nJs_8OGOmckwvcAlWdOKTlgvkyixbOLwdRjSABYTEwgTN7MHuFjO7j89LsxteBV48WdT2TBHi4TapmwW6Kw2SNCZtZ5xrevag7t6k15UCaScMLu5dOZGIsrmLKLntNwVZjpbzRldt5-XNUyJb63jtmJfR-QEJIT968054ExwHvgll0YPkyHQe-L6d696UYEzAqqfaVArnxX5AFj2nSTHSxKQTIn2vmLzfsNZxAiYEBc7olrIuaCqv9e7OokD89oIvVADGbWw0gFsbRYaGowOJeGGp-JXzs7ctmn1Jbj5ckMB68kZEurlvZb2eNjE5kTmLMX6Vt6Y_nSJCXn_wQ8YmXXsK6q6pCyckXmXVH-s0FXmyq8nY4uq2UvOtoD8ck8pi8tIZeQ2i_quAoz8SeMinT8SH-ZW-lSsNTt29TXcWajcQOmayGD0RivVsJMfFsH8jo-N_71F8AH-RyUYgHi-SvCijFvjj-u39Y_eCD8bFxr17slmJdCh8vkGzqGBEk1m4sOM_Au4hMXLxLxn3uvYq97fUy2-5YxCDO-mPQFl19_IT27VO9im_v3GKih4Vihd79-lZZfiB_G5BWdAIUY971LiIA8NFmejFKJT_-I8RGdtq6CTFBxpWyWDyL7UPzW6h36Y82BmtN2ERRUnzIZniud38cfisEVTI-wi0fhkh3ii0H2n_pLzlkfwht6i5EAsVx4qtQZnI9L6HzPTjNdKZaGNQZxZirvZRQO4vndONaSV66Iv74oaHMi4obyDEKcBr6OO4pLrBhLm_rmaMmlnZhPLw3csy7gy3uZmXUndgg8Mgc6eLMNHFSBD_XuVWNkHPVLRl3leW8_Dz5uOXkj0WyNgsNyzBCe3UB6jZCZK_ACisDyLjf3b3WqKB5KuMg3ZqEeUXKTLcSUdmBR3p6rloCNULPRiO3ncC6VGT79pkoEXEaa_FZWuiQH51zFIXVSiCIdTCRnYJ8SN_ICRnfJm4YrZsaZip4ywKd84geG38QsdhjZ0J5J4b7YM36c1rt1wD49AWUH5ERRjUlwg5Lh-2ui34E7qoPQPoXc2jI3IxmuDP901O46EMEzWH7O_vMKaInW2SBzyqCuAXIGHfHHGFfwQii7Rpa_X-TsyeRhvJwoLKHqW7LS-K0CZhR9xdQjIsv42W5EJp4PwxATfYMoDRhkP5kZ_OYWkkf_nxVGPywhhl2t_CPj1kFRvnFGWriQtJjBbbWktbFy5XvMOCapFE1Oi3t_cKXaoma8-0QdYqoaJfvsOpjw2tHrZlscLkXKllA722wUh63dSxRI0YYvFGwpOzwNBxv-U-9spRI5h4mZinzPoCisyzXxsPFGkEpnbTakCIV_QlauuVdt5z47FqXNVu1BmPpYvW6Bw9ff31SptNLagtb-XKxT6hbB9AOXIYh2GMdRQXYdFNcAW3nQX1jkt5es2FyNEk9Yx2I5H6vkaIiqdpTJCZmemvyz8GZ2Lmkxp_J01HI7DnhzWvELS0O0JH9bV1XUpBFppWHkhXwwLxzZsSZl2HqXkL4vFrfwmBOcDM46GunNqb78l9EOYuEbr4JiNZqogW1mU8sUZyGRc3wZamT6MOOBjT9uWrcRuvabpVMa3S4egKC5wgXv0HezPtLNrswE35fmjwHI6UDYQESL9SMaAZg7SmgdMPxgTqUEUuTE5iO8a5pKU4wG2dfLoJs9zVR4AKmX51v8vd6tNURuwDXDld-cSRGrd1Yqty27q_vZfRD_hfDskxyI5pMe2lSO0jhpZk4nYiTUaXCUT-BJ19cLHwOp82JUtV8aYI75xey-xvs3KFvboT0dqjFRQ_WRFTKiX2aYBUEE3IdgR3G70J-AsXJUfshdJADZLfI4n3cjdu5yzdoJXBIgWecT2pbwoKKnSJtwmMFrRNioIRkleFH1txosbeYFJE45b-uEGHP1RkQRbK-SAeS7TWPmIRl_t6KaUcWELs6s_4amHHxImhBzjF-16mDeNWaJ_mdjox6BZ4iyb5gIoHlNEBdiDZCfzqlrKA5gByWbMcPrOgBhM6JlRQk5JRKFDF-SfqPz-jCWUXTjxpXhq_GhTgjbLKeu_Dy7L9Kc_6SSLEfRdFbds_UOnDfxv05Ptg17vME1kzInwpSFqD8pmtBnQ2Vg5QE7Wn4p-PM9oavnS82xmSl1xfCFOTw2ys26eAPPkq_xVbxVrBoOE7FP1JkAouXyzyM6yaNXKJ2OnXjxsMAtkLO7-3i87a_tc_a5-IzsTbTzftnfPm-spSMCOg==","format":"openai-responses-v1","id":"rs_0e60803848036b42016a56dbcabe588195a85b98305eff3a10","index":1}]}}],"usage":{"prompt_tokens":3233,"completion_tokens":1626,"total_tokens":4859,"cost":0.0689825,"is_byok":false,"prompt_tokens_details":{"cached_tokens":0,"cache_write_tokens":3230,"audio_tokens":0,"video_tokens":0},"cost_details":{"upstream_inference_cost":0.0689825,"upstream_inference_prompt_cost":0.0202025,"upstream_inference_completions_cost":0.04878},"completion_tokens_details":{"reasoning_tokens":288,"image_tokens":0,"audio_tokens":0}}}"}, "error": null}], "response": {"text": null, "tool_calls": [{"id": "call_3PioMtYAkDBd7YQa07Zmxvtl", "name": "execute_blender_code", "arguments": {"code": "import bpy, math\nfrom mathutils import Vector\n\n# Clear scene\nbpy.ops.object.select_all(action='SELECT')\nbpy.ops.object.delete(use_global=False)\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\n    pass\n\n# Materials\nred = bpy.data.materials.new('Ball_Red')\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\nred.use_nodes = True\npbs = red.node_tree.nodes.get('Principled BSDF')\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\npbs.inputs['Roughness'].default_value = 0.22\npbs.inputs['Metallic'].default_value = 0.0\npbs.inputs['Specular IOR Level'].default_value = 0.5\n\nwhite = bpy.data.materials.new('Floor_White')\nwhite.diffuse_color = (0.92,0.92,0.92,1)\nwhite.use_nodes = True\npbf = white.node_tree.nodes.get('Principled BSDF')\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\npbf.inputs['Roughness'].default_value = 0.38\npbf.inputs['Metallic'].default_value = 0.0\n\n# Ground plane at z=0\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\nplane = bpy.context.object\nplane.name = 'White Ground Plane'\nplane.data.materials.append(white)\n\n# Sphere radius .5, center z=.5 = exact tangent to plane\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\nball = bpy.context.object\nball.name = 'Red Sphere — 1m Diameter'\nball.data.materials.append(red)\nfor p in ball.data.polygons: p.use_smooth = True\n\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\n# Set custom properties to make dimensions/contact explicit\nball['diameter_m'] = 1.0\nball['radius_m'] = 0.5\nball['contact_plane_z'] = 0.0\nball['lowest_point_z'] = 0.0\nplane['surface_z'] = 0.0\n\n# Camera\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\ncam = bpy.context.object\ncam.name = 'Presentation Camera'\nbpy.context.scene.camera = cam\ncam.data.lens = 68\ncam.data.sensor_width = 36\n\ndef look_at(obj, target):\n    direction = Vector(target) - obj.location\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\n\nlook_at(cam, (0,0,0.44))\n\n# Key area light - large softbox\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\nkey = bpy.context.object\nkey.name = 'Large Soft Key'\nkey.data.energy = 850\nkey.data.shape = 'DISK'\nkey.data.size = 4.0\nlook_at(key, (0,0,0.2))\n\n# Gentle rim/accent to reveal sphere edge and gloss\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\nrim = bpy.context.object\nrim.name = 'Soft Rim Fill'\nrim.data.energy = 300\nrim.data.shape = 'DISK'\nrim.data.size = 3.0\nlook_at(rim, (0,0,0.55))\n\n# Broad top fill\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\nfill = bpy.context.object\nfill.name = 'Top Fill'\nfill.data.energy = 180\nfill.data.size = 5.0\nlook_at(fill, (0,0,0))\n\n# World\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\nbpy.context.scene.world = world\nworld.use_nodes = True\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\n\n# Render settings\nscene = bpy.context.scene\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\nscene.render.resolution_x = 800\nscene.render.resolution_y = 800\nscene.render.resolution_percentage = 100\nscene.render.image_settings.file_format = 'PNG'\nscene.render.image_settings.color_mode = 'RGBA'\nscene.render.film_transparent = False\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\nscene.render.image_settings.color_mode = 'RGB'\n# AO/contact depth\nscene.world.color = (0.8,0.8,0.8)\n# color management\nscene.view_settings.look = 'AgX - Medium High Contrast'\nscene.view_settings.exposure = 0.15\n\n# Camera clipping\ncam.data.lens = 72\ncam.data.dof.use_dof = False\n\n# Save and render\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\nbpy.ops.render.render(write_still=True)\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\nprint('Render:', scene.render.filepath)\n", "user_prompt": "A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing."}, "raw_arguments": "{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Clear scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\n# Materials\\nred = bpy.data.materials.new('Ball_Red')\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\nred.use_nodes = True\\npbs = red.node_tree.nodes.get('Principled BSDF')\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\npbs.inputs['Roughness'].default_value = 0.22\\npbs.inputs['Metallic'].default_value = 0.0\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\n\\nwhite = bpy.data.materials.new('Floor_White')\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\nwhite.use_nodes = True\\npbf = white.node_tree.nodes.get('Principled BSDF')\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\npbf.inputs['Roughness'].default_value = 0.38\\npbf.inputs['Metallic'].default_value = 0.0\\n\\n# Ground plane at z=0\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\nplane = bpy.context.object\\nplane.name = 'White Ground Plane'\\nplane.data.materials.append(white)\\n\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\nball = bpy.context.object\\nball.name = 'Red Sphere — 1m Diameter'\\nball.data.materials.append(red)\\nfor p in ball.data.polygons: p.use_smooth = True\\n\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\n# Set custom properties to make dimensions/contact explicit\\nball['diameter_m'] = 1.0\\nball['radius_m'] = 0.5\\nball['contact_plane_z'] = 0.0\\nball['lowest_point_z'] = 0.0\\nplane['surface_z'] = 0.0\\n\\n# Camera\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\ncam = bpy.context.object\\ncam.name = 'Presentation Camera'\\nbpy.context.scene.camera = cam\\ncam.data.lens = 68\\ncam.data.sensor_width = 36\\n\\ndef look_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\n\\nlook_at(cam, (0,0,0.44))\\n\\n# Key area light - large softbox\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\nkey = bpy.context.object\\nkey.name = 'Large Soft Key'\\nkey.data.energy = 850\\nkey.data.shape = 'DISK'\\nkey.data.size = 4.0\\nlook_at(key, (0,0,0.2))\\n\\n# Gentle rim/accent to reveal sphere edge and gloss\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\nrim = bpy.context.object\\nrim.name = 'Soft Rim Fill'\\nrim.data.energy = 300\\nrim.data.shape = 'DISK'\\nrim.data.size = 3.0\\nlook_at(rim, (0,0,0.55))\\n\\n# Broad top fill\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\nfill = bpy.context.object\\nfill.name = 'Top Fill'\\nfill.data.energy = 180\\nfill.data.size = 5.0\\nlook_at(fill, (0,0,0))\\n\\n# World\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\nbpy.context.scene.world = world\\nworld.use_nodes = True\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\n\\n# Render settings\\nscene = bpy.context.scene\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\nscene.render.image_settings.color_mode = 'RGB'\\n# AO/contact depth\\nscene.world.color = (0.8,0.8,0.8)\\n# color management\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\nscene.view_settings.exposure = 0.15\\n\\n# Camera clipping\\ncam.data.lens = 72\\ncam.data.dof.use_dof = False\\n\\n# Save and render\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\nprint('Render:', scene.render.filepath)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}", "parse_error": null}], "tokens_in": 3233, "tokens_out": 1626, "cost_usd": 0.0689825, "cached_tokens": 0}, "error": null}
{"ts": "2026-07-15T01:01:30.831696+00:00", "type": "assistant", "text": null, "tool_calls": [{"id": "call_3PioMtYAkDBd7YQa07Zmxvtl", "name": "execute_blender_code", "arguments": {"code": "import bpy, math\nfrom mathutils import Vector\n\n# Clear scene\nbpy.ops.object.select_all(action='SELECT')\nbpy.ops.object.delete(use_global=False)\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\n    pass\n\n# Materials\nred = bpy.data.materials.new('Ball_Red')\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\nred.use_nodes = True\npbs = red.node_tree.nodes.get('Principled BSDF')\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\npbs.inputs['Roughness'].default_value = 0.22\npbs.inputs['Metallic'].default_value = 0.0\npbs.inputs['Specular IOR Level'].default_value = 0.5\n\nwhite = bpy.data.materials.new('Floor_White')\nwhite.diffuse_color = (0.92,0.92,0.92,1)\nwhite.use_nodes = True\npbf = white.node_tree.nodes.get('Principled BSDF')\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\npbf.inputs['Roughness'].default_value = 0.38\npbf.inputs['Metallic'].default_value = 0.0\n\n# Ground plane at z=0\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\nplane = bpy.context.object\nplane.name = 'White Ground Plane'\nplane.data.materials.append(white)\n\n# Sphere radius .5, center z=.5 = exact tangent to plane\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\nball = bpy.context.object\nball.name = 'Red Sphere — 1m Diameter'\nball.data.materials.append(red)\nfor p in ball.data.polygons: p.use_smooth = True\n\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\n# Set custom properties to make dimensions/contact explicit\nball['diameter_m'] = 1.0\nball['radius_m'] = 0.5\nball['contact_plane_z'] = 0.0\nball['lowest_point_z'] = 0.0\nplane['surface_z'] = 0.0\n\n# Camera\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\ncam = bpy.context.object\ncam.name = 'Presentation Camera'\nbpy.context.scene.camera = cam\ncam.data.lens = 68\ncam.data.sensor_width = 36\n\ndef look_at(obj, target):\n    direction = Vector(target) - obj.location\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\n\nlook_at(cam, (0,0,0.44))\n\n# Key area light - large softbox\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\nkey = bpy.context.object\nkey.name = 'Large Soft Key'\nkey.data.energy = 850\nkey.data.shape = 'DISK'\nkey.data.size = 4.0\nlook_at(key, (0,0,0.2))\n\n# Gentle rim/accent to reveal sphere edge and gloss\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\nrim = bpy.context.object\nrim.name = 'Soft Rim Fill'\nrim.data.energy = 300\nrim.data.shape = 'DISK'\nrim.data.size = 3.0\nlook_at(rim, (0,0,0.55))\n\n# Broad top fill\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\nfill = bpy.context.object\nfill.name = 'Top Fill'\nfill.data.energy = 180\nfill.data.size = 5.0\nlook_at(fill, (0,0,0))\n\n# World\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\nbpy.context.scene.world = world\nworld.use_nodes = True\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\n\n# Render settings\nscene = bpy.context.scene\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\nscene.render.resolution_x = 800\nscene.render.resolution_y = 800\nscene.render.resolution_percentage = 100\nscene.render.image_settings.file_format = 'PNG'\nscene.render.image_settings.color_mode = 'RGBA'\nscene.render.film_transparent = False\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\nscene.render.image_settings.color_mode = 'RGB'\n# AO/contact depth\nscene.world.color = (0.8,0.8,0.8)\n# color management\nscene.view_settings.look = 'AgX - Medium High Contrast'\nscene.view_settings.exposure = 0.15\n\n# Camera clipping\ncam.data.lens = 72\ncam.data.dof.use_dof = False\n\n# Save and render\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\nbpy.ops.render.render(write_still=True)\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\nprint('Render:', scene.render.filepath)\n", "user_prompt": "A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing."}, "raw_arguments": "{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Clear scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\n# Materials\\nred = bpy.data.materials.new('Ball_Red')\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\nred.use_nodes = True\\npbs = red.node_tree.nodes.get('Principled BSDF')\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\npbs.inputs['Roughness'].default_value = 0.22\\npbs.inputs['Metallic'].default_value = 0.0\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\n\\nwhite = bpy.data.materials.new('Floor_White')\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\nwhite.use_nodes = True\\npbf = white.node_tree.nodes.get('Principled BSDF')\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\npbf.inputs['Roughness'].default_value = 0.38\\npbf.inputs['Metallic'].default_value = 0.0\\n\\n# Ground plane at z=0\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\nplane = bpy.context.object\\nplane.name = 'White Ground Plane'\\nplane.data.materials.append(white)\\n\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\nball = bpy.context.object\\nball.name = 'Red Sphere — 1m Diameter'\\nball.data.materials.append(red)\\nfor p in ball.data.polygons: p.use_smooth = True\\n\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\n# Set custom properties to make dimensions/contact explicit\\nball['diameter_m'] = 1.0\\nball['radius_m'] = 0.5\\nball['contact_plane_z'] = 0.0\\nball['lowest_point_z'] = 0.0\\nplane['surface_z'] = 0.0\\n\\n# Camera\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\ncam = bpy.context.object\\ncam.name = 'Presentation Camera'\\nbpy.context.scene.camera = cam\\ncam.data.lens = 68\\ncam.data.sensor_width = 36\\n\\ndef look_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\n\\nlook_at(cam, (0,0,0.44))\\n\\n# Key area light - large softbox\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\nkey = bpy.context.object\\nkey.name = 'Large Soft Key'\\nkey.data.energy = 850\\nkey.data.shape = 'DISK'\\nkey.data.size = 4.0\\nlook_at(key, (0,0,0.2))\\n\\n# Gentle rim/accent to reveal sphere edge and gloss\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\nrim = bpy.context.object\\nrim.name = 'Soft Rim Fill'\\nrim.data.energy = 300\\nrim.data.shape = 'DISK'\\nrim.data.size = 3.0\\nlook_at(rim, (0,0,0.55))\\n\\n# Broad top fill\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\nfill = bpy.context.object\\nfill.name = 'Top Fill'\\nfill.data.energy = 180\\nfill.data.size = 5.0\\nlook_at(fill, (0,0,0))\\n\\n# World\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\nbpy.context.scene.world = world\\nworld.use_nodes = True\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\n\\n# Render settings\\nscene = bpy.context.scene\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\nscene.render.image_settings.color_mode = 'RGB'\\n# AO/contact depth\\nscene.world.color = (0.8,0.8,0.8)\\n# color management\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\nscene.view_settings.exposure = 0.15\\n\\n# Camera clipping\\ncam.data.lens = 72\\ncam.data.dof.use_dof = False\\n\\n# Save and render\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\nprint('Render:', scene.render.filepath)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}", "parse_error": null}]}
{"ts": "2026-07-15T01:01:30.831696+00:00", "type": "tool_call", "id": "call_3PioMtYAkDBd7YQa07Zmxvtl", "name": "execute_blender_code", "arguments": {"code": "import bpy, math\nfrom mathutils import Vector\n\n# Clear scene\nbpy.ops.object.select_all(action='SELECT')\nbpy.ops.object.delete(use_global=False)\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\n    pass\n\n# Materials\nred = bpy.data.materials.new('Ball_Red')\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\nred.use_nodes = True\npbs = red.node_tree.nodes.get('Principled BSDF')\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\npbs.inputs['Roughness'].default_value = 0.22\npbs.inputs['Metallic'].default_value = 0.0\npbs.inputs['Specular IOR Level'].default_value = 0.5\n\nwhite = bpy.data.materials.new('Floor_White')\nwhite.diffuse_color = (0.92,0.92,0.92,1)\nwhite.use_nodes = True\npbf = white.node_tree.nodes.get('Principled BSDF')\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\npbf.inputs['Roughness'].default_value = 0.38\npbf.inputs['Metallic'].default_value = 0.0\n\n# Ground plane at z=0\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\nplane = bpy.context.object\nplane.name = 'White Ground Plane'\nplane.data.materials.append(white)\n\n# Sphere radius .5, center z=.5 = exact tangent to plane\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\nball = bpy.context.object\nball.name = 'Red Sphere — 1m Diameter'\nball.data.materials.append(red)\nfor p in ball.data.polygons: p.use_smooth = True\n\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\n# Set custom properties to make dimensions/contact explicit\nball['diameter_m'] = 1.0\nball['radius_m'] = 0.5\nball['contact_plane_z'] = 0.0\nball['lowest_point_z'] = 0.0\nplane['surface_z'] = 0.0\n\n# Camera\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\ncam = bpy.context.object\ncam.name = 'Presentation Camera'\nbpy.context.scene.camera = cam\ncam.data.lens = 68\ncam.data.sensor_width = 36\n\ndef look_at(obj, target):\n    direction = Vector(target) - obj.location\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\n\nlook_at(cam, (0,0,0.44))\n\n# Key area light - large softbox\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\nkey = bpy.context.object\nkey.name = 'Large Soft Key'\nkey.data.energy = 850\nkey.data.shape = 'DISK'\nkey.data.size = 4.0\nlook_at(key, (0,0,0.2))\n\n# Gentle rim/accent to reveal sphere edge and gloss\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\nrim = bpy.context.object\nrim.name = 'Soft Rim Fill'\nrim.data.energy = 300\nrim.data.shape = 'DISK'\nrim.data.size = 3.0\nlook_at(rim, (0,0,0.55))\n\n# Broad top fill\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\nfill = bpy.context.object\nfill.name = 'Top Fill'\nfill.data.energy = 180\nfill.data.size = 5.0\nlook_at(fill, (0,0,0))\n\n# World\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\nbpy.context.scene.world = world\nworld.use_nodes = True\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\n\n# Render settings\nscene = bpy.context.scene\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\nscene.render.resolution_x = 800\nscene.render.resolution_y = 800\nscene.render.resolution_percentage = 100\nscene.render.image_settings.file_format = 'PNG'\nscene.render.image_settings.color_mode = 'RGBA'\nscene.render.film_transparent = False\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\nscene.render.image_settings.color_mode = 'RGB'\n# AO/contact depth\nscene.world.color = (0.8,0.8,0.8)\n# color management\nscene.view_settings.look = 'AgX - Medium High Contrast'\nscene.view_settings.exposure = 0.15\n\n# Camera clipping\ncam.data.lens = 72\ncam.data.dof.use_dof = False\n\n# Save and render\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\nbpy.ops.render.render(write_still=True)\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\nprint('Render:', scene.render.filepath)\n", "user_prompt": "A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing."}, "raw_arguments": "{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Clear scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\n# Materials\\nred = bpy.data.materials.new('Ball_Red')\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\nred.use_nodes = True\\npbs = red.node_tree.nodes.get('Principled BSDF')\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\npbs.inputs['Roughness'].default_value = 0.22\\npbs.inputs['Metallic'].default_value = 0.0\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\n\\nwhite = bpy.data.materials.new('Floor_White')\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\nwhite.use_nodes = True\\npbf = white.node_tree.nodes.get('Principled BSDF')\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\npbf.inputs['Roughness'].default_value = 0.38\\npbf.inputs['Metallic'].default_value = 0.0\\n\\n# Ground plane at z=0\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\nplane = bpy.context.object\\nplane.name = 'White Ground Plane'\\nplane.data.materials.append(white)\\n\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\nball = bpy.context.object\\nball.name = 'Red Sphere — 1m Diameter'\\nball.data.materials.append(red)\\nfor p in ball.data.polygons: p.use_smooth = True\\n\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\n# Set custom properties to make dimensions/contact explicit\\nball['diameter_m'] = 1.0\\nball['radius_m'] = 0.5\\nball['contact_plane_z'] = 0.0\\nball['lowest_point_z'] = 0.0\\nplane['surface_z'] = 0.0\\n\\n# Camera\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\ncam = bpy.context.object\\ncam.name = 'Presentation Camera'\\nbpy.context.scene.camera = cam\\ncam.data.lens = 68\\ncam.data.sensor_width = 36\\n\\ndef look_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\n\\nlook_at(cam, (0,0,0.44))\\n\\n# Key area light - large softbox\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\nkey = bpy.context.object\\nkey.name = 'Large Soft Key'\\nkey.data.energy = 850\\nkey.data.shape = 'DISK'\\nkey.data.size = 4.0\\nlook_at(key, (0,0,0.2))\\n\\n# Gentle rim/accent to reveal sphere edge and gloss\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\nrim = bpy.context.object\\nrim.name = 'Soft Rim Fill'\\nrim.data.energy = 300\\nrim.data.shape = 'DISK'\\nrim.data.size = 3.0\\nlook_at(rim, (0,0,0.55))\\n\\n# Broad top fill\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\nfill = bpy.context.object\\nfill.name = 'Top Fill'\\nfill.data.energy = 180\\nfill.data.size = 5.0\\nlook_at(fill, (0,0,0))\\n\\n# World\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\nbpy.context.scene.world = world\\nworld.use_nodes = True\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\n\\n# Render settings\\nscene = bpy.context.scene\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\nscene.render.image_settings.color_mode = 'RGB'\\n# AO/contact depth\\nscene.world.color = (0.8,0.8,0.8)\\n# color management\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\nscene.view_settings.exposure = 0.15\\n\\n# Camera clipping\\ncam.data.lens = 72\\ncam.data.dof.use_dof = False\\n\\n# Save and render\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\nprint('Render:', scene.render.filepath)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}
{"ts": "2026-07-15T01:01:30.958042+00:00", "type": "tool_result", "tool_call_id": "call_3PioMtYAkDBd7YQa07Zmxvtl", "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": "2026-07-15T01:01:39.433569+00:00", "type": "llm_call", "call_index": 2, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T01:01:30.959547+00:00", "finished_at": "2026-07-15T01:01:39.432564+00:00", "duration_s": 8.46899999998277, "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\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. 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\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_3PioMtYAkDBd7YQa07Zmxvtl", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Clear scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\n# Materials\\nred = bpy.data.materials.new('Ball_Red')\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\nred.use_nodes = True\\npbs = red.node_tree.nodes.get('Principled BSDF')\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\npbs.inputs['Roughness'].default_value = 0.22\\npbs.inputs['Metallic'].default_value = 0.0\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\n\\nwhite = bpy.data.materials.new('Floor_White')\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\nwhite.use_nodes = True\\npbf = white.node_tree.nodes.get('Principled BSDF')\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\npbf.inputs['Roughness'].default_value = 0.38\\npbf.inputs['Metallic'].default_value = 0.0\\n\\n# Ground plane at z=0\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\nplane = bpy.context.object\\nplane.name = 'White Ground Plane'\\nplane.data.materials.append(white)\\n\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\nball = bpy.context.object\\nball.name = 'Red Sphere — 1m Diameter'\\nball.data.materials.append(red)\\nfor p in ball.data.polygons: p.use_smooth = True\\n\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\n# Set custom properties to make dimensions/contact explicit\\nball['diameter_m'] = 1.0\\nball['radius_m'] = 0.5\\nball['contact_plane_z'] = 0.0\\nball['lowest_point_z'] = 0.0\\nplane['surface_z'] = 0.0\\n\\n# Camera\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\ncam = bpy.context.object\\ncam.name = 'Presentation Camera'\\nbpy.context.scene.camera = cam\\ncam.data.lens = 68\\ncam.data.sensor_width = 36\\n\\ndef look_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\n\\nlook_at(cam, (0,0,0.44))\\n\\n# Key area light - large softbox\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\nkey = bpy.context.object\\nkey.name = 'Large Soft Key'\\nkey.data.energy = 850\\nkey.data.shape = 'DISK'\\nkey.data.size = 4.0\\nlook_at(key, (0,0,0.2))\\n\\n# Gentle rim/accent to reveal sphere edge and gloss\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\nrim = bpy.context.object\\nrim.name = 'Soft Rim Fill'\\nrim.data.energy = 300\\nrim.data.shape = 'DISK'\\nrim.data.size = 3.0\\nlook_at(rim, (0,0,0.55))\\n\\n# Broad top fill\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\nfill = bpy.context.object\\nfill.name = 'Top Fill'\\nfill.data.energy = 180\\nfill.data.size = 5.0\\nlook_at(fill, (0,0,0))\\n\\n# World\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\nbpy.context.scene.world = world\\nworld.use_nodes = True\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\n\\n# Render settings\\nscene = bpy.context.scene\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\nscene.render.image_settings.color_mode = 'RGB'\\n# AO/contact depth\\nscene.world.color = (0.8,0.8,0.8)\\n# color management\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\nscene.view_settings.exposure = 0.15\\n\\n# Camera clipping\\ncam.data.lens = 72\\ncam.data.dof.use_dof = False\\n\\n# Save and render\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\nprint('Render:', scene.render.filepath)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]}, {"role": "tool", "tool_call_id": "call_3PioMtYAkDBd7YQa07Zmxvtl", "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": "2026-07-15T01:01:30.959547+00:00", "finished_at": "2026-07-15T01:01:39.432564+00:00", "duration_s": 8.46899999998277, "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": "23340", "content-type": "application/json"}, "body": "{\"model\":\"openai/gpt-5.6-sol\",\"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\\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. 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\\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\\nball, plain white on the floor.\\n\\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\\na soft believable shadow under the ball, a hint of glossiness that catches the\\nlight, and clean framing.\\n\\n</task>\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_3PioMtYAkDBd7YQa07Zmxvtl\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, math\\\\nfrom mathutils import Vector\\\\n\\\\n# Clear scene\\\\nbpy.ops.object.select_all(action='SELECT')\\\\nbpy.ops.object.delete(use_global=False)\\\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\\\n    pass\\\\n\\\\n# Materials\\\\nred = bpy.data.materials.new('Ball_Red')\\\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\\\nred.use_nodes = True\\\\npbs = red.node_tree.nodes.get('Principled BSDF')\\\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\\\npbs.inputs['Roughness'].default_value = 0.22\\\\npbs.inputs['Metallic'].default_value = 0.0\\\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\\\n\\\\nwhite = bpy.data.materials.new('Floor_White')\\\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\\\nwhite.use_nodes = True\\\\npbf = white.node_tree.nodes.get('Principled BSDF')\\\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\\\npbf.inputs['Roughness'].default_value = 0.38\\\\npbf.inputs['Metallic'].default_value = 0.0\\\\n\\\\n# Ground plane at z=0\\\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\\\nplane = bpy.context.object\\\\nplane.name = 'White Ground Plane'\\\\nplane.data.materials.append(white)\\\\n\\\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\\\nball = bpy.context.object\\\\nball.name = 'Red Sphere — 1m Diameter'\\\\nball.data.materials.append(red)\\\\nfor p in ball.data.polygons: p.use_smooth = True\\\\n\\\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\\\n# Set custom properties to make dimensions/contact explicit\\\\nball['diameter_m'] = 1.0\\\\nball['radius_m'] = 0.5\\\\nball['contact_plane_z'] = 0.0\\\\nball['lowest_point_z'] = 0.0\\\\nplane['surface_z'] = 0.0\\\\n\\\\n# Camera\\\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\\\ncam = bpy.context.object\\\\ncam.name = 'Presentation Camera'\\\\nbpy.context.scene.camera = cam\\\\ncam.data.lens = 68\\\\ncam.data.sensor_width = 36\\\\n\\\\ndef look_at(obj, target):\\\\n    direction = Vector(target) - obj.location\\\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\\\n\\\\nlook_at(cam, (0,0,0.44))\\\\n\\\\n# Key area light - large softbox\\\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\\\nkey = bpy.context.object\\\\nkey.name = 'Large Soft Key'\\\\nkey.data.energy = 850\\\\nkey.data.shape = 'DISK'\\\\nkey.data.size = 4.0\\\\nlook_at(key, (0,0,0.2))\\\\n\\\\n# Gentle rim/accent to reveal sphere edge and gloss\\\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\\\nrim = bpy.context.object\\\\nrim.name = 'Soft Rim Fill'\\\\nrim.data.energy = 300\\\\nrim.data.shape = 'DISK'\\\\nrim.data.size = 3.0\\\\nlook_at(rim, (0,0,0.55))\\\\n\\\\n# Broad top fill\\\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\\\nfill = bpy.context.object\\\\nfill.name = 'Top Fill'\\\\nfill.data.energy = 180\\\\nfill.data.size = 5.0\\\\nlook_at(fill, (0,0,0))\\\\n\\\\n# World\\\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\\\nbpy.context.scene.world = world\\\\nworld.use_nodes = True\\\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\\\n\\\\n# Render settings\\\\nscene = bpy.context.scene\\\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\\\nscene.render.resolution_x = 800\\\\nscene.render.resolution_y = 800\\\\nscene.render.resolution_percentage = 100\\\\nscene.render.image_settings.file_format = 'PNG'\\\\nscene.render.image_settings.color_mode = 'RGBA'\\\\nscene.render.film_transparent = False\\\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\\\nscene.render.image_settings.color_mode = 'RGB'\\\\n# AO/contact depth\\\\nscene.world.color = (0.8,0.8,0.8)\\\\n# color management\\\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\\\nscene.view_settings.exposure = 0.15\\\\n\\\\n# Camera clipping\\\\ncam.data.lens = 72\\\\ncam.data.dof.use_dof = False\\\\n\\\\n# Save and render\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\\\nprint('Render:', scene.render.filepath)\\\\n\\\",\\\"user_prompt\\\":\\\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_3PioMtYAkDBd7YQa07Zmxvtl\",\"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-sol","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\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. 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\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_3PioMtYAkDBd7YQa07Zmxvtl","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Clear scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\n# Materials\\nred = bpy.data.materials.new('Ball_Red')\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\nred.use_nodes = True\\npbs = red.node_tree.nodes.get('Principled BSDF')\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\npbs.inputs['Roughness'].default_value = 0.22\\npbs.inputs['Metallic'].default_value = 0.0\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\n\\nwhite = bpy.data.materials.new('Floor_White')\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\nwhite.use_nodes = True\\npbf = white.node_tree.nodes.get('Principled BSDF')\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\npbf.inputs['Roughness'].default_value = 0.38\\npbf.inputs['Metallic'].default_value = 0.0\\n\\n# Ground plane at z=0\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\nplane = bpy.context.object\\nplane.name = 'White Ground Plane'\\nplane.data.materials.append(white)\\n\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\nball = bpy.context.object\\nball.name = 'Red Sphere — 1m Diameter'\\nball.data.materials.append(red)\\nfor p in ball.data.polygons: p.use_smooth = True\\n\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\n# Set custom properties to make dimensions/contact explicit\\nball['diameter_m'] = 1.0\\nball['radius_m'] = 0.5\\nball['contact_plane_z'] = 0.0\\nball['lowest_point_z'] = 0.0\\nplane['surface_z'] = 0.0\\n\\n# Camera\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\ncam = bpy.context.object\\ncam.name = 'Presentation Camera'\\nbpy.context.scene.camera = cam\\ncam.data.lens = 68\\ncam.data.sensor_width = 36\\n\\ndef look_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\n\\nlook_at(cam, (0,0,0.44))\\n\\n# Key area light - large softbox\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\nkey = bpy.context.object\\nkey.name = 'Large Soft Key'\\nkey.data.energy = 850\\nkey.data.shape = 'DISK'\\nkey.data.size = 4.0\\nlook_at(key, (0,0,0.2))\\n\\n# Gentle rim/accent to reveal sphere edge and gloss\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\nrim = bpy.context.object\\nrim.name = 'Soft Rim Fill'\\nrim.data.energy = 300\\nrim.data.shape = 'DISK'\\nrim.data.size = 3.0\\nlook_at(rim, (0,0,0.55))\\n\\n# Broad top fill\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\nfill = bpy.context.object\\nfill.name = 'Top Fill'\\nfill.data.energy = 180\\nfill.data.size = 5.0\\nlook_at(fill, (0,0,0))\\n\\n# World\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\nbpy.context.scene.world = world\\nworld.use_nodes = True\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\n\\n# Render settings\\nscene = bpy.context.scene\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\nscene.render.image_settings.color_mode = 'RGB'\\n# AO/contact depth\\nscene.world.color = (0.8,0.8,0.8)\\n# color management\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\nscene.view_settings.exposure = 0.15\\n\\n# Camera clipping\\ncam.data.lens = 72\\ncam.data.dof.use_dof = False\\n\\n# Save and render\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\nprint('Render:', scene.render.filepath)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]},{"role":"tool","tool_call_id":"call_3PioMtYAkDBd7YQa07Zmxvtl","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. 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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. 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I notice something seems off with the enum in EEVEE rendering settings. I should definitely save my current render settings since that's crucial for a smooth workflow. 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I notice something seems off with the enum in EEVEE rendering settings. I should definitely save my current render settings since that's crucial for a smooth workflow. Let's see how I can resolve the compatibility issue, keeping things organized while I work on this, so I don't overlook anything 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"error": null}], "response": {"text": null, "tool_calls": [{"id": "call_9aJ5afTvWc2gp8ThaSzWwS76", "name": "execute_blender_code", "arguments": {"code": "import bpy\nscene=bpy.context.scene\nscene.render.engine='BLENDER_EEVEE'\nscene.render.resolution_x=800\nscene.render.resolution_y=800\nscene.render.resolution_percentage=100\nscene.render.image_settings.file_format='PNG'\nscene.render.image_settings.color_mode='RGB'\nscene.render.film_transparent=False\nscene.render.filepath='/tmp/red_sphere_presentation.png'\n# Eevee quality and soft shadows\nif hasattr(scene,'eevee'):\n    scene.eevee.use_gtao=True\n    scene.eevee.gtao_distance=3\n    scene.eevee.gtao_factor=1.15\n    scene.eevee.taa_render_samples=128\n    scene.eevee.use_soft_shadows=True\ntry: scene.view_settings.look='AgX - Medium High Contrast'\nexcept: pass\nscene.view_settings.exposure=0.1\n# contact shadows on area lights if supported\nfor o in bpy.data.objects:\n    if o.type=='LIGHT' and hasattr(o.data,'use_shadow'): o.data.use_shadow=True\n    if o.type=='LIGHT' and hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\nbpy.ops.render.render(write_still=True)\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\nprint('Exact contact:',ball.location.z-ball.dimensions.z/2,plane.location.z)\n", "user_prompt": "A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing."}, "raw_arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800\\nscene.render.resolution_y=800\\nscene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'\\nscene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False\\nscene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Eevee quality and soft shadows\\nif hasattr(scene,'eevee'):\\n    scene.eevee.use_gtao=True\\n    scene.eevee.gtao_distance=3\\n    scene.eevee.gtao_factor=1.15\\n    scene.eevee.taa_render_samples=128\\n    scene.eevee.use_soft_shadows=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\n# contact shadows on area lights if supported\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT' and hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n    if o.type=='LIGHT' and hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact:',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}", "parse_error": null}], "tokens_in": 4634, "tokens_out": 420, "cost_usd": 0.02298625, "cached_tokens": 3230}, "error": null}
{"ts": "2026-07-15T01:01:39.434600+00:00", "type": "assistant", "text": null, "tool_calls": [{"id": "call_9aJ5afTvWc2gp8ThaSzWwS76", "name": "execute_blender_code", "arguments": {"code": "import bpy\nscene=bpy.context.scene\nscene.render.engine='BLENDER_EEVEE'\nscene.render.resolution_x=800\nscene.render.resolution_y=800\nscene.render.resolution_percentage=100\nscene.render.image_settings.file_format='PNG'\nscene.render.image_settings.color_mode='RGB'\nscene.render.film_transparent=False\nscene.render.filepath='/tmp/red_sphere_presentation.png'\n# Eevee quality and soft shadows\nif hasattr(scene,'eevee'):\n    scene.eevee.use_gtao=True\n    scene.eevee.gtao_distance=3\n    scene.eevee.gtao_factor=1.15\n    scene.eevee.taa_render_samples=128\n    scene.eevee.use_soft_shadows=True\ntry: scene.view_settings.look='AgX - Medium High Contrast'\nexcept: pass\nscene.view_settings.exposure=0.1\n# contact shadows on area lights if supported\nfor o in bpy.data.objects:\n    if o.type=='LIGHT' and hasattr(o.data,'use_shadow'): o.data.use_shadow=True\n    if o.type=='LIGHT' and hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\nbpy.ops.render.render(write_still=True)\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\nprint('Exact contact:',ball.location.z-ball.dimensions.z/2,plane.location.z)\n", "user_prompt": "A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing."}, "raw_arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800\\nscene.render.resolution_y=800\\nscene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'\\nscene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False\\nscene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Eevee quality and soft shadows\\nif hasattr(scene,'eevee'):\\n    scene.eevee.use_gtao=True\\n    scene.eevee.gtao_distance=3\\n    scene.eevee.gtao_factor=1.15\\n    scene.eevee.taa_render_samples=128\\n    scene.eevee.use_soft_shadows=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\n# contact shadows on area lights if supported\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT' and hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n    if o.type=='LIGHT' and hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact:',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}", "parse_error": null}]}
{"ts": "2026-07-15T01:01:39.434600+00:00", "type": "tool_call", "id": "call_9aJ5afTvWc2gp8ThaSzWwS76", "name": "execute_blender_code", "arguments": {"code": "import bpy\nscene=bpy.context.scene\nscene.render.engine='BLENDER_EEVEE'\nscene.render.resolution_x=800\nscene.render.resolution_y=800\nscene.render.resolution_percentage=100\nscene.render.image_settings.file_format='PNG'\nscene.render.image_settings.color_mode='RGB'\nscene.render.film_transparent=False\nscene.render.filepath='/tmp/red_sphere_presentation.png'\n# Eevee quality and soft shadows\nif hasattr(scene,'eevee'):\n    scene.eevee.use_gtao=True\n    scene.eevee.gtao_distance=3\n    scene.eevee.gtao_factor=1.15\n    scene.eevee.taa_render_samples=128\n    scene.eevee.use_soft_shadows=True\ntry: scene.view_settings.look='AgX - Medium High Contrast'\nexcept: pass\nscene.view_settings.exposure=0.1\n# contact shadows on area lights if supported\nfor o in bpy.data.objects:\n    if o.type=='LIGHT' and hasattr(o.data,'use_shadow'): o.data.use_shadow=True\n    if o.type=='LIGHT' and hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\nbpy.ops.render.render(write_still=True)\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\nprint('Exact contact:',ball.location.z-ball.dimensions.z/2,plane.location.z)\n", "user_prompt": "A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing."}, "raw_arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800\\nscene.render.resolution_y=800\\nscene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'\\nscene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False\\nscene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Eevee quality and soft shadows\\nif hasattr(scene,'eevee'):\\n    scene.eevee.use_gtao=True\\n    scene.eevee.gtao_distance=3\\n    scene.eevee.gtao_factor=1.15\\n    scene.eevee.taa_render_samples=128\\n    scene.eevee.use_soft_shadows=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\n# contact shadows on area lights if supported\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT' and hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n    if o.type=='LIGHT' and hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact:',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}
{"ts": "2026-07-15T01:01:39.480854+00:00", "type": "tool_result", "tool_call_id": "call_9aJ5afTvWc2gp8ThaSzWwS76", "name": "execute_blender_code", "text": "Error executing code: Communication error with Blender: Code execution error: 'SceneEEVEE' object has no attribute 'use_gtao'", "is_error": false, "has_image": false, "image_b64": null}
{"ts": "2026-07-15T01:01:45.913044+00:00", "type": "llm_call", "call_index": 3, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T01:01:39.481381+00:00", "finished_at": "2026-07-15T01:01:45.913044+00:00", "duration_s": 6.437000000005355, "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\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. 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\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_3PioMtYAkDBd7YQa07Zmxvtl", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Clear scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\n# Materials\\nred = bpy.data.materials.new('Ball_Red')\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\nred.use_nodes = True\\npbs = red.node_tree.nodes.get('Principled BSDF')\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\npbs.inputs['Roughness'].default_value = 0.22\\npbs.inputs['Metallic'].default_value = 0.0\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\n\\nwhite = bpy.data.materials.new('Floor_White')\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\nwhite.use_nodes = True\\npbf = white.node_tree.nodes.get('Principled BSDF')\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\npbf.inputs['Roughness'].default_value = 0.38\\npbf.inputs['Metallic'].default_value = 0.0\\n\\n# Ground plane at z=0\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\nplane = bpy.context.object\\nplane.name = 'White Ground Plane'\\nplane.data.materials.append(white)\\n\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\nball = bpy.context.object\\nball.name = 'Red Sphere — 1m Diameter'\\nball.data.materials.append(red)\\nfor p in ball.data.polygons: p.use_smooth = True\\n\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\n# Set custom properties to make dimensions/contact explicit\\nball['diameter_m'] = 1.0\\nball['radius_m'] = 0.5\\nball['contact_plane_z'] = 0.0\\nball['lowest_point_z'] = 0.0\\nplane['surface_z'] = 0.0\\n\\n# Camera\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\ncam = bpy.context.object\\ncam.name = 'Presentation Camera'\\nbpy.context.scene.camera = cam\\ncam.data.lens = 68\\ncam.data.sensor_width = 36\\n\\ndef look_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\n\\nlook_at(cam, (0,0,0.44))\\n\\n# Key area light - large softbox\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\nkey = bpy.context.object\\nkey.name = 'Large Soft Key'\\nkey.data.energy = 850\\nkey.data.shape = 'DISK'\\nkey.data.size = 4.0\\nlook_at(key, (0,0,0.2))\\n\\n# Gentle rim/accent to reveal sphere edge and gloss\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\nrim = bpy.context.object\\nrim.name = 'Soft Rim Fill'\\nrim.data.energy = 300\\nrim.data.shape = 'DISK'\\nrim.data.size = 3.0\\nlook_at(rim, (0,0,0.55))\\n\\n# Broad top fill\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\nfill = bpy.context.object\\nfill.name = 'Top Fill'\\nfill.data.energy = 180\\nfill.data.size = 5.0\\nlook_at(fill, (0,0,0))\\n\\n# World\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\nbpy.context.scene.world = world\\nworld.use_nodes = True\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\n\\n# Render settings\\nscene = bpy.context.scene\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\nscene.render.image_settings.color_mode = 'RGB'\\n# AO/contact depth\\nscene.world.color = (0.8,0.8,0.8)\\n# color management\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\nscene.view_settings.exposure = 0.15\\n\\n# Camera clipping\\ncam.data.lens = 72\\ncam.data.dof.use_dof = False\\n\\n# Save and render\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\nprint('Render:', scene.render.filepath)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]}, {"role": "tool", "tool_call_id": "call_3PioMtYAkDBd7YQa07Zmxvtl", "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_9aJ5afTvWc2gp8ThaSzWwS76", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800\\nscene.render.resolution_y=800\\nscene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'\\nscene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False\\nscene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Eevee quality and soft shadows\\nif hasattr(scene,'eevee'):\\n    scene.eevee.use_gtao=True\\n    scene.eevee.gtao_distance=3\\n    scene.eevee.gtao_factor=1.15\\n    scene.eevee.taa_render_samples=128\\n    scene.eevee.use_soft_shadows=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\n# contact shadows on area lights if supported\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT' and hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n    if o.type=='LIGHT' and hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact:',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]}, {"role": "tool", "tool_call_id": "call_9aJ5afTvWc2gp8ThaSzWwS76", "content": "Error executing code: Communication error with Blender: Code execution error: 'SceneEEVEE' object has no attribute 'use_gtao'"}], "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": "2026-07-15T01:01:39.481381+00:00", "finished_at": "2026-07-15T01:01:45.913044+00:00", "duration_s": 6.437000000005355, "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": "25200", "content-type": "application/json"}, "body": "{\"model\":\"openai/gpt-5.6-sol\",\"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\\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. 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\\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\\nball, plain white on the floor.\\n\\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\\na soft believable shadow under the ball, a hint of glossiness that catches the\\nlight, and clean framing.\\n\\n</task>\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_3PioMtYAkDBd7YQa07Zmxvtl\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, math\\\\nfrom mathutils import Vector\\\\n\\\\n# Clear scene\\\\nbpy.ops.object.select_all(action='SELECT')\\\\nbpy.ops.object.delete(use_global=False)\\\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\\\n    pass\\\\n\\\\n# Materials\\\\nred = bpy.data.materials.new('Ball_Red')\\\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\\\nred.use_nodes = True\\\\npbs = red.node_tree.nodes.get('Principled BSDF')\\\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\\\npbs.inputs['Roughness'].default_value = 0.22\\\\npbs.inputs['Metallic'].default_value = 0.0\\\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\\\n\\\\nwhite = bpy.data.materials.new('Floor_White')\\\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\\\nwhite.use_nodes = True\\\\npbf = white.node_tree.nodes.get('Principled BSDF')\\\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\\\npbf.inputs['Roughness'].default_value = 0.38\\\\npbf.inputs['Metallic'].default_value = 0.0\\\\n\\\\n# Ground plane at z=0\\\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\\\nplane = bpy.context.object\\\\nplane.name = 'White Ground Plane'\\\\nplane.data.materials.append(white)\\\\n\\\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\\\nball = bpy.context.object\\\\nball.name = 'Red Sphere — 1m Diameter'\\\\nball.data.materials.append(red)\\\\nfor p in ball.data.polygons: p.use_smooth = True\\\\n\\\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\\\n# Set custom properties to make dimensions/contact explicit\\\\nball['diameter_m'] = 1.0\\\\nball['radius_m'] = 0.5\\\\nball['contact_plane_z'] = 0.0\\\\nball['lowest_point_z'] = 0.0\\\\nplane['surface_z'] = 0.0\\\\n\\\\n# Camera\\\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\\\ncam = bpy.context.object\\\\ncam.name = 'Presentation Camera'\\\\nbpy.context.scene.camera = cam\\\\ncam.data.lens = 68\\\\ncam.data.sensor_width = 36\\\\n\\\\ndef look_at(obj, target):\\\\n    direction = Vector(target) - obj.location\\\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\\\n\\\\nlook_at(cam, (0,0,0.44))\\\\n\\\\n# Key area light - large softbox\\\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\\\nkey = bpy.context.object\\\\nkey.name = 'Large Soft Key'\\\\nkey.data.energy = 850\\\\nkey.data.shape = 'DISK'\\\\nkey.data.size = 4.0\\\\nlook_at(key, (0,0,0.2))\\\\n\\\\n# Gentle rim/accent to reveal sphere edge and gloss\\\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\\\nrim = bpy.context.object\\\\nrim.name = 'Soft Rim Fill'\\\\nrim.data.energy = 300\\\\nrim.data.shape = 'DISK'\\\\nrim.data.size = 3.0\\\\nlook_at(rim, (0,0,0.55))\\\\n\\\\n# Broad top fill\\\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\\\nfill = bpy.context.object\\\\nfill.name = 'Top Fill'\\\\nfill.data.energy = 180\\\\nfill.data.size = 5.0\\\\nlook_at(fill, (0,0,0))\\\\n\\\\n# World\\\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\\\nbpy.context.scene.world = world\\\\nworld.use_nodes = True\\\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\\\n\\\\n# Render settings\\\\nscene = bpy.context.scene\\\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\\\nscene.render.resolution_x = 800\\\\nscene.render.resolution_y = 800\\\\nscene.render.resolution_percentage = 100\\\\nscene.render.image_settings.file_format = 'PNG'\\\\nscene.render.image_settings.color_mode = 'RGBA'\\\\nscene.render.film_transparent = False\\\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\\\nscene.render.image_settings.color_mode = 'RGB'\\\\n# AO/contact depth\\\\nscene.world.color = (0.8,0.8,0.8)\\\\n# color management\\\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\\\nscene.view_settings.exposure = 0.15\\\\n\\\\n# Camera clipping\\\\ncam.data.lens = 72\\\\ncam.data.dof.use_dof = False\\\\n\\\\n# Save and render\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\\\nprint('Render:', scene.render.filepath)\\\\n\\\",\\\"user_prompt\\\":\\\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_3PioMtYAkDBd7YQa07Zmxvtl\",\"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_9aJ5afTvWc2gp8ThaSzWwS76\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nscene=bpy.context.scene\\\\nscene.render.engine='BLENDER_EEVEE'\\\\nscene.render.resolution_x=800\\\\nscene.render.resolution_y=800\\\\nscene.render.resolution_percentage=100\\\\nscene.render.image_settings.file_format='PNG'\\\\nscene.render.image_settings.color_mode='RGB'\\\\nscene.render.film_transparent=False\\\\nscene.render.filepath='/tmp/red_sphere_presentation.png'\\\\n# Eevee quality and soft shadows\\\\nif hasattr(scene,'eevee'):\\\\n    scene.eevee.use_gtao=True\\\\n    scene.eevee.gtao_distance=3\\\\n    scene.eevee.gtao_factor=1.15\\\\n    scene.eevee.taa_render_samples=128\\\\n    scene.eevee.use_soft_shadows=True\\\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\\\nexcept: pass\\\\nscene.view_settings.exposure=0.1\\\\n# contact shadows on area lights if supported\\\\nfor o in bpy.data.objects:\\\\n    if o.type=='LIGHT' and hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\\\n    if o.type=='LIGHT' and hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\\\nprint('Exact contact:',ball.location.z-ball.dimensions.z/2,plane.location.z)\\\\n\\\",\\\"user_prompt\\\":\\\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_9aJ5afTvWc2gp8ThaSzWwS76\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: 'SceneEEVEE' object has no attribute 'use_gtao'\"}],\"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-sol","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\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. 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\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_3PioMtYAkDBd7YQa07Zmxvtl","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Clear scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\n# Materials\\nred = bpy.data.materials.new('Ball_Red')\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\nred.use_nodes = True\\npbs = red.node_tree.nodes.get('Principled BSDF')\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\npbs.inputs['Roughness'].default_value = 0.22\\npbs.inputs['Metallic'].default_value = 0.0\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\n\\nwhite = bpy.data.materials.new('Floor_White')\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\nwhite.use_nodes = True\\npbf = white.node_tree.nodes.get('Principled BSDF')\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\npbf.inputs['Roughness'].default_value = 0.38\\npbf.inputs['Metallic'].default_value = 0.0\\n\\n# Ground plane at z=0\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\nplane = bpy.context.object\\nplane.name = 'White Ground Plane'\\nplane.data.materials.append(white)\\n\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\nball = bpy.context.object\\nball.name = 'Red Sphere — 1m Diameter'\\nball.data.materials.append(red)\\nfor p in ball.data.polygons: p.use_smooth = True\\n\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\n# Set custom properties to make dimensions/contact explicit\\nball['diameter_m'] = 1.0\\nball['radius_m'] = 0.5\\nball['contact_plane_z'] = 0.0\\nball['lowest_point_z'] = 0.0\\nplane['surface_z'] = 0.0\\n\\n# Camera\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\ncam = bpy.context.object\\ncam.name = 'Presentation Camera'\\nbpy.context.scene.camera = cam\\ncam.data.lens = 68\\ncam.data.sensor_width = 36\\n\\ndef look_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\n\\nlook_at(cam, (0,0,0.44))\\n\\n# Key area light - large softbox\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\nkey = bpy.context.object\\nkey.name = 'Large Soft Key'\\nkey.data.energy = 850\\nkey.data.shape = 'DISK'\\nkey.data.size = 4.0\\nlook_at(key, (0,0,0.2))\\n\\n# Gentle rim/accent to reveal sphere edge and gloss\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\nrim = bpy.context.object\\nrim.name = 'Soft Rim Fill'\\nrim.data.energy = 300\\nrim.data.shape = 'DISK'\\nrim.data.size = 3.0\\nlook_at(rim, (0,0,0.55))\\n\\n# Broad top fill\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\nfill = bpy.context.object\\nfill.name = 'Top Fill'\\nfill.data.energy = 180\\nfill.data.size = 5.0\\nlook_at(fill, (0,0,0))\\n\\n# World\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\nbpy.context.scene.world = world\\nworld.use_nodes = True\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\n\\n# Render settings\\nscene = bpy.context.scene\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\nscene.render.image_settings.color_mode = 'RGB'\\n# AO/contact depth\\nscene.world.color = (0.8,0.8,0.8)\\n# color management\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\nscene.view_settings.exposure = 0.15\\n\\n# Camera clipping\\ncam.data.lens = 72\\ncam.data.dof.use_dof = False\\n\\n# Save and render\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\nprint('Render:', scene.render.filepath)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]},{"role":"tool","tool_call_id":"call_3PioMtYAkDBd7YQa07Zmxvtl","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_9aJ5afTvWc2gp8ThaSzWwS76","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800\\nscene.render.resolution_y=800\\nscene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'\\nscene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False\\nscene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Eevee quality and soft shadows\\nif hasattr(scene,'eevee'):\\n    scene.eevee.use_gtao=True\\n    scene.eevee.gtao_distance=3\\n    scene.eevee.gtao_factor=1.15\\n    scene.eevee.taa_render_samples=128\\n    scene.eevee.use_soft_shadows=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\n# contact shadows on area lights if supported\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT' and hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n    if o.type=='LIGHT' and hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact:',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]},{"role":"tool","tool_call_id":"call_9aJ5afTvWc2gp8ThaSzWwS76","content":"Error executing code: Communication error with Blender: Code execution error: 'SceneEEVEE' object has no attribute 'use_gtao'"}],"usage":{"include":true},"tools":[{"type":"function","function":{"name":"get_scene_info","description":"Get detailed information about the current Blender scene\n\n    Parameters:\n    - 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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. 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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. 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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. 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Contrast'\nexcept: pass\nscene.view_settings.exposure=0.1\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\nbpy.ops.render.render(write_still=True)\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\nprint('Exact contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\n", "user_prompt": "A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing."}, "raw_arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800; scene.render.resolution_y=800; scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'; scene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False; scene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Version-safe Eevee configuration\\nfor attr,val in [('taa_render_samples',128),('use_soft_shadows',True),('gtao_distance',3),('gtao_factor',1.15),('use_gtao',True)]:\\n    if hasattr(scene.eevee,attr): setattr(scene.eevee,attr,val)\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT':\\n        if hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n        if hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}", 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{"ts": "2026-07-15T01:01:45.915254+00:00", "type": "assistant", "text": null, "tool_calls": [{"id": "call_mAEZtzzTGgkIdJouyXwaMD2r", "name": "execute_blender_code", "arguments": {"code": "import bpy\nscene=bpy.context.scene\nscene.render.engine='BLENDER_EEVEE'\nscene.render.resolution_x=800; scene.render.resolution_y=800; scene.render.resolution_percentage=100\nscene.render.image_settings.file_format='PNG'; scene.render.image_settings.color_mode='RGB'\nscene.render.film_transparent=False; scene.render.filepath='/tmp/red_sphere_presentation.png'\n# Version-safe Eevee configuration\nfor attr,val in [('taa_render_samples',128),('use_soft_shadows',True),('gtao_distance',3),('gtao_factor',1.15),('use_gtao',True)]:\n    if hasattr(scene.eevee,attr): setattr(scene.eevee,attr,val)\nfor o in bpy.data.objects:\n    if o.type=='LIGHT':\n        if hasattr(o.data,'use_shadow'): o.data.use_shadow=True\n        if hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\ntry: scene.view_settings.look='AgX - Medium High Contrast'\nexcept: pass\nscene.view_settings.exposure=0.1\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\nbpy.ops.render.render(write_still=True)\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\nprint('Exact contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\n", "user_prompt": "A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing."}, "raw_arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800; scene.render.resolution_y=800; scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'; scene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False; scene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Version-safe Eevee configuration\\nfor attr,val in [('taa_render_samples',128),('use_soft_shadows',True),('gtao_distance',3),('gtao_factor',1.15),('use_gtao',True)]:\\n    if hasattr(scene.eevee,attr): setattr(scene.eevee,attr,val)\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT':\\n        if hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n        if hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}", "parse_error": null}]}
{"ts": "2026-07-15T01:01:45.915254+00:00", "type": "tool_call", "id": "call_mAEZtzzTGgkIdJouyXwaMD2r", "name": "execute_blender_code", "arguments": {"code": "import bpy\nscene=bpy.context.scene\nscene.render.engine='BLENDER_EEVEE'\nscene.render.resolution_x=800; scene.render.resolution_y=800; scene.render.resolution_percentage=100\nscene.render.image_settings.file_format='PNG'; scene.render.image_settings.color_mode='RGB'\nscene.render.film_transparent=False; scene.render.filepath='/tmp/red_sphere_presentation.png'\n# Version-safe Eevee configuration\nfor attr,val in [('taa_render_samples',128),('use_soft_shadows',True),('gtao_distance',3),('gtao_factor',1.15),('use_gtao',True)]:\n    if hasattr(scene.eevee,attr): setattr(scene.eevee,attr,val)\nfor o in bpy.data.objects:\n    if o.type=='LIGHT':\n        if hasattr(o.data,'use_shadow'): o.data.use_shadow=True\n        if hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\ntry: scene.view_settings.look='AgX - Medium High Contrast'\nexcept: pass\nscene.view_settings.exposure=0.1\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\nbpy.ops.render.render(write_still=True)\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\nprint('Exact contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\n", "user_prompt": "A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing."}, "raw_arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800; scene.render.resolution_y=800; scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'; scene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False; scene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Version-safe Eevee configuration\\nfor attr,val in [('taa_render_samples',128),('use_soft_shadows',True),('gtao_distance',3),('gtao_factor',1.15),('use_gtao',True)]:\\n    if hasattr(scene.eevee,attr): setattr(scene.eevee,attr,val)\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT':\\n        if hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n        if hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}
{"ts": "2026-07-15T01:01:45.986872+00:00", "type": "tool_result", "tool_call_id": "call_mAEZtzzTGgkIdJouyXwaMD2r", "name": "execute_blender_code", "text": "Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\apps\\console\\tmp\\red_sphere_ground.blend@ for writing: No such file or directory\n", "is_error": false, "has_image": false, "image_b64": null}
{"ts": "2026-07-15T01:01:51.536350+00:00", "type": "llm_call", "call_index": 4, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T01:01:45.987870+00:00", "finished_at": "2026-07-15T01:01:51.534829+00:00", "duration_s": 5.547000000020489, "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\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. 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\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_3PioMtYAkDBd7YQa07Zmxvtl", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Clear scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\n# Materials\\nred = bpy.data.materials.new('Ball_Red')\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\nred.use_nodes = True\\npbs = red.node_tree.nodes.get('Principled BSDF')\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\npbs.inputs['Roughness'].default_value = 0.22\\npbs.inputs['Metallic'].default_value = 0.0\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\n\\nwhite = bpy.data.materials.new('Floor_White')\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\nwhite.use_nodes = True\\npbf = white.node_tree.nodes.get('Principled BSDF')\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\npbf.inputs['Roughness'].default_value = 0.38\\npbf.inputs['Metallic'].default_value = 0.0\\n\\n# Ground plane at z=0\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\nplane = bpy.context.object\\nplane.name = 'White Ground Plane'\\nplane.data.materials.append(white)\\n\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\nball = bpy.context.object\\nball.name = 'Red Sphere — 1m Diameter'\\nball.data.materials.append(red)\\nfor p in ball.data.polygons: p.use_smooth = True\\n\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\n# Set custom properties to make dimensions/contact explicit\\nball['diameter_m'] = 1.0\\nball['radius_m'] = 0.5\\nball['contact_plane_z'] = 0.0\\nball['lowest_point_z'] = 0.0\\nplane['surface_z'] = 0.0\\n\\n# Camera\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\ncam = bpy.context.object\\ncam.name = 'Presentation Camera'\\nbpy.context.scene.camera = cam\\ncam.data.lens = 68\\ncam.data.sensor_width = 36\\n\\ndef look_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\n\\nlook_at(cam, (0,0,0.44))\\n\\n# Key area light - large softbox\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\nkey = bpy.context.object\\nkey.name = 'Large Soft Key'\\nkey.data.energy = 850\\nkey.data.shape = 'DISK'\\nkey.data.size = 4.0\\nlook_at(key, (0,0,0.2))\\n\\n# Gentle rim/accent to reveal sphere edge and gloss\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\nrim = bpy.context.object\\nrim.name = 'Soft Rim Fill'\\nrim.data.energy = 300\\nrim.data.shape = 'DISK'\\nrim.data.size = 3.0\\nlook_at(rim, (0,0,0.55))\\n\\n# Broad top fill\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\nfill = bpy.context.object\\nfill.name = 'Top Fill'\\nfill.data.energy = 180\\nfill.data.size = 5.0\\nlook_at(fill, (0,0,0))\\n\\n# World\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\nbpy.context.scene.world = world\\nworld.use_nodes = True\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\n\\n# Render settings\\nscene = bpy.context.scene\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\nscene.render.image_settings.color_mode = 'RGB'\\n# AO/contact depth\\nscene.world.color = (0.8,0.8,0.8)\\n# color management\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\nscene.view_settings.exposure = 0.15\\n\\n# Camera clipping\\ncam.data.lens = 72\\ncam.data.dof.use_dof = False\\n\\n# Save and render\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\nprint('Render:', scene.render.filepath)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]}, {"role": "tool", "tool_call_id": "call_3PioMtYAkDBd7YQa07Zmxvtl", "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_9aJ5afTvWc2gp8ThaSzWwS76", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800\\nscene.render.resolution_y=800\\nscene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'\\nscene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False\\nscene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Eevee quality and soft shadows\\nif hasattr(scene,'eevee'):\\n    scene.eevee.use_gtao=True\\n    scene.eevee.gtao_distance=3\\n    scene.eevee.gtao_factor=1.15\\n    scene.eevee.taa_render_samples=128\\n    scene.eevee.use_soft_shadows=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\n# contact shadows on area lights if supported\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT' and hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n    if o.type=='LIGHT' and hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact:',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]}, {"role": "tool", "tool_call_id": "call_9aJ5afTvWc2gp8ThaSzWwS76", "content": "Error executing code: Communication error with Blender: Code execution error: 'SceneEEVEE' object has no attribute 'use_gtao'"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_mAEZtzzTGgkIdJouyXwaMD2r", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800; scene.render.resolution_y=800; scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'; scene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False; scene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Version-safe Eevee configuration\\nfor attr,val in [('taa_render_samples',128),('use_soft_shadows',True),('gtao_distance',3),('gtao_factor',1.15),('use_gtao',True)]:\\n    if hasattr(scene.eevee,attr): setattr(scene.eevee,attr,val)\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT':\\n        if hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n        if hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]}, {"role": "tool", "tool_call_id": "call_mAEZtzzTGgkIdJouyXwaMD2r", "content": "Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\apps\\console\\tmp\\red_sphere_ground.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": "2026-07-15T01:01:45.987870+00:00", "finished_at": "2026-07-15T01:01:51.534829+00:00", "duration_s": 5.547000000020489, "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": "27103", "content-type": "application/json"}, "body": "{\"model\":\"openai/gpt-5.6-sol\",\"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\\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. 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\\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\\nball, plain white on the floor.\\n\\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\\na soft believable shadow under the ball, a hint of glossiness that catches the\\nlight, and clean framing.\\n\\n</task>\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_3PioMtYAkDBd7YQa07Zmxvtl\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, math\\\\nfrom mathutils import Vector\\\\n\\\\n# Clear scene\\\\nbpy.ops.object.select_all(action='SELECT')\\\\nbpy.ops.object.delete(use_global=False)\\\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\\\n    pass\\\\n\\\\n# Materials\\\\nred = bpy.data.materials.new('Ball_Red')\\\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\\\nred.use_nodes = True\\\\npbs = red.node_tree.nodes.get('Principled BSDF')\\\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\\\npbs.inputs['Roughness'].default_value = 0.22\\\\npbs.inputs['Metallic'].default_value = 0.0\\\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\\\n\\\\nwhite = bpy.data.materials.new('Floor_White')\\\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\\\nwhite.use_nodes = True\\\\npbf = white.node_tree.nodes.get('Principled BSDF')\\\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\\\npbf.inputs['Roughness'].default_value = 0.38\\\\npbf.inputs['Metallic'].default_value = 0.0\\\\n\\\\n# Ground plane at z=0\\\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\\\nplane = bpy.context.object\\\\nplane.name = 'White Ground Plane'\\\\nplane.data.materials.append(white)\\\\n\\\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\\\nball = bpy.context.object\\\\nball.name = 'Red Sphere — 1m Diameter'\\\\nball.data.materials.append(red)\\\\nfor p in ball.data.polygons: p.use_smooth = True\\\\n\\\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\\\n# Set custom properties to make dimensions/contact explicit\\\\nball['diameter_m'] = 1.0\\\\nball['radius_m'] = 0.5\\\\nball['contact_plane_z'] = 0.0\\\\nball['lowest_point_z'] = 0.0\\\\nplane['surface_z'] = 0.0\\\\n\\\\n# Camera\\\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\\\ncam = bpy.context.object\\\\ncam.name = 'Presentation Camera'\\\\nbpy.context.scene.camera = cam\\\\ncam.data.lens = 68\\\\ncam.data.sensor_width = 36\\\\n\\\\ndef look_at(obj, target):\\\\n    direction = Vector(target) - obj.location\\\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\\\n\\\\nlook_at(cam, (0,0,0.44))\\\\n\\\\n# Key area light - large softbox\\\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\\\nkey = bpy.context.object\\\\nkey.name = 'Large Soft Key'\\\\nkey.data.energy = 850\\\\nkey.data.shape = 'DISK'\\\\nkey.data.size = 4.0\\\\nlook_at(key, (0,0,0.2))\\\\n\\\\n# Gentle rim/accent to reveal sphere edge and gloss\\\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\\\nrim = bpy.context.object\\\\nrim.name = 'Soft Rim Fill'\\\\nrim.data.energy = 300\\\\nrim.data.shape = 'DISK'\\\\nrim.data.size = 3.0\\\\nlook_at(rim, (0,0,0.55))\\\\n\\\\n# Broad top fill\\\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\\\nfill = bpy.context.object\\\\nfill.name = 'Top Fill'\\\\nfill.data.energy = 180\\\\nfill.data.size = 5.0\\\\nlook_at(fill, (0,0,0))\\\\n\\\\n# World\\\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\\\nbpy.context.scene.world = world\\\\nworld.use_nodes = True\\\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\\\n\\\\n# Render settings\\\\nscene = bpy.context.scene\\\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\\\nscene.render.resolution_x = 800\\\\nscene.render.resolution_y = 800\\\\nscene.render.resolution_percentage = 100\\\\nscene.render.image_settings.file_format = 'PNG'\\\\nscene.render.image_settings.color_mode = 'RGBA'\\\\nscene.render.film_transparent = False\\\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\\\nscene.render.image_settings.color_mode = 'RGB'\\\\n# AO/contact depth\\\\nscene.world.color = (0.8,0.8,0.8)\\\\n# color management\\\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\\\nscene.view_settings.exposure = 0.15\\\\n\\\\n# Camera clipping\\\\ncam.data.lens = 72\\\\ncam.data.dof.use_dof = False\\\\n\\\\n# Save and render\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\\\nprint('Render:', scene.render.filepath)\\\\n\\\",\\\"user_prompt\\\":\\\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_3PioMtYAkDBd7YQa07Zmxvtl\",\"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_9aJ5afTvWc2gp8ThaSzWwS76\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nscene=bpy.context.scene\\\\nscene.render.engine='BLENDER_EEVEE'\\\\nscene.render.resolution_x=800\\\\nscene.render.resolution_y=800\\\\nscene.render.resolution_percentage=100\\\\nscene.render.image_settings.file_format='PNG'\\\\nscene.render.image_settings.color_mode='RGB'\\\\nscene.render.film_transparent=False\\\\nscene.render.filepath='/tmp/red_sphere_presentation.png'\\\\n# Eevee quality and soft shadows\\\\nif hasattr(scene,'eevee'):\\\\n    scene.eevee.use_gtao=True\\\\n    scene.eevee.gtao_distance=3\\\\n    scene.eevee.gtao_factor=1.15\\\\n    scene.eevee.taa_render_samples=128\\\\n    scene.eevee.use_soft_shadows=True\\\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\\\nexcept: pass\\\\nscene.view_settings.exposure=0.1\\\\n# contact shadows on area lights if supported\\\\nfor o in bpy.data.objects:\\\\n    if o.type=='LIGHT' and hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\\\n    if o.type=='LIGHT' and hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\\\nprint('Exact contact:',ball.location.z-ball.dimensions.z/2,plane.location.z)\\\\n\\\",\\\"user_prompt\\\":\\\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_9aJ5afTvWc2gp8ThaSzWwS76\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: 'SceneEEVEE' object has no attribute 'use_gtao'\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_mAEZtzzTGgkIdJouyXwaMD2r\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nscene=bpy.context.scene\\\\nscene.render.engine='BLENDER_EEVEE'\\\\nscene.render.resolution_x=800; scene.render.resolution_y=800; scene.render.resolution_percentage=100\\\\nscene.render.image_settings.file_format='PNG'; scene.render.image_settings.color_mode='RGB'\\\\nscene.render.film_transparent=False; scene.render.filepath='/tmp/red_sphere_presentation.png'\\\\n# Version-safe Eevee configuration\\\\nfor attr,val in [('taa_render_samples',128),('use_soft_shadows',True),('gtao_distance',3),('gtao_factor',1.15),('use_gtao',True)]:\\\\n    if hasattr(scene.eevee,attr): setattr(scene.eevee,attr,val)\\\\nfor o in bpy.data.objects:\\\\n    if o.type=='LIGHT':\\\\n        if hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\\\n        if hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\\\nexcept: pass\\\\nscene.view_settings.exposure=0.1\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\\\nprint('Exact contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\\\n\\\",\\\"user_prompt\\\":\\\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_mAEZtzzTGgkIdJouyXwaMD2r\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\\\apps\\\\console\\\\tmp\\\\red_sphere_ground.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-sol","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\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. 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\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_3PioMtYAkDBd7YQa07Zmxvtl","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Clear scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\n# Materials\\nred = bpy.data.materials.new('Ball_Red')\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\nred.use_nodes = True\\npbs = red.node_tree.nodes.get('Principled BSDF')\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\npbs.inputs['Roughness'].default_value = 0.22\\npbs.inputs['Metallic'].default_value = 0.0\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\n\\nwhite = bpy.data.materials.new('Floor_White')\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\nwhite.use_nodes = True\\npbf = white.node_tree.nodes.get('Principled BSDF')\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\npbf.inputs['Roughness'].default_value = 0.38\\npbf.inputs['Metallic'].default_value = 0.0\\n\\n# Ground plane at z=0\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\nplane = bpy.context.object\\nplane.name = 'White Ground Plane'\\nplane.data.materials.append(white)\\n\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\nball = bpy.context.object\\nball.name = 'Red Sphere — 1m Diameter'\\nball.data.materials.append(red)\\nfor p in ball.data.polygons: p.use_smooth = True\\n\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\n# Set custom properties to make dimensions/contact explicit\\nball['diameter_m'] = 1.0\\nball['radius_m'] = 0.5\\nball['contact_plane_z'] = 0.0\\nball['lowest_point_z'] = 0.0\\nplane['surface_z'] = 0.0\\n\\n# Camera\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\ncam = bpy.context.object\\ncam.name = 'Presentation Camera'\\nbpy.context.scene.camera = cam\\ncam.data.lens = 68\\ncam.data.sensor_width = 36\\n\\ndef look_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\n\\nlook_at(cam, (0,0,0.44))\\n\\n# Key area light - large softbox\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\nkey = bpy.context.object\\nkey.name = 'Large Soft Key'\\nkey.data.energy = 850\\nkey.data.shape = 'DISK'\\nkey.data.size = 4.0\\nlook_at(key, (0,0,0.2))\\n\\n# Gentle rim/accent to reveal sphere edge and gloss\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\nrim = bpy.context.object\\nrim.name = 'Soft Rim Fill'\\nrim.data.energy = 300\\nrim.data.shape = 'DISK'\\nrim.data.size = 3.0\\nlook_at(rim, (0,0,0.55))\\n\\n# Broad top fill\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\nfill = bpy.context.object\\nfill.name = 'Top Fill'\\nfill.data.energy = 180\\nfill.data.size = 5.0\\nlook_at(fill, (0,0,0))\\n\\n# World\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\nbpy.context.scene.world = world\\nworld.use_nodes = True\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\n\\n# Render settings\\nscene = bpy.context.scene\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\nscene.render.image_settings.color_mode = 'RGB'\\n# AO/contact depth\\nscene.world.color = (0.8,0.8,0.8)\\n# color management\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\nscene.view_settings.exposure = 0.15\\n\\n# Camera clipping\\ncam.data.lens = 72\\ncam.data.dof.use_dof = False\\n\\n# Save and render\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\nprint('Render:', scene.render.filepath)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]},{"role":"tool","tool_call_id":"call_3PioMtYAkDBd7YQa07Zmxvtl","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_9aJ5afTvWc2gp8ThaSzWwS76","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800\\nscene.render.resolution_y=800\\nscene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'\\nscene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False\\nscene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Eevee quality and soft shadows\\nif hasattr(scene,'eevee'):\\n    scene.eevee.use_gtao=True\\n    scene.eevee.gtao_distance=3\\n    scene.eevee.gtao_factor=1.15\\n    scene.eevee.taa_render_samples=128\\n    scene.eevee.use_soft_shadows=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\n# contact shadows on area lights if supported\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT' and hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n    if o.type=='LIGHT' and hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact:',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]},{"role":"tool","tool_call_id":"call_9aJ5afTvWc2gp8ThaSzWwS76","content":"Error executing code: Communication error with Blender: Code execution error: 'SceneEEVEE' object has no attribute 'use_gtao'"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_mAEZtzzTGgkIdJouyXwaMD2r","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800; scene.render.resolution_y=800; scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'; scene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False; scene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Version-safe Eevee configuration\\nfor attr,val in [('taa_render_samples',128),('use_soft_shadows',True),('gtao_distance',3),('gtao_factor',1.15),('use_gtao',True)]:\\n    if hasattr(scene.eevee,attr): setattr(scene.eevee,attr,val)\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT':\\n        if hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n        if hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]},{"role":"tool","tool_call_id":"call_mAEZtzzTGgkIdJouyXwaMD2r","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\\red_sphere_ground.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    - 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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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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. 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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. 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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. 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I wonder if the main file requires a specific path, or if it can save without one. It seems that the harness might automatically persist the scene, but I still need to check the render path for any errors. 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"error": null}], "response": {"text": null, "tool_calls": [{"id": "call_WCRMKni9yzRLSFMzJeYe50HT", "name": "execute_blender_code", "arguments": {"code": "import bpy, tempfile, os\nscene=bpy.context.scene\noutdir=tempfile.gettempdir()\nscene.render.filepath=os.path.join(outdir,'red_sphere_presentation.png')\nblendpath=os.path.join(outdir,'red_sphere_ground.blend')\nbpy.ops.wm.save_as_mainfile(filepath=blendpath)\nbpy.ops.render.render(write_still=True)\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\nprint('saved',blendpath,'render',scene.render.filepath,'contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\n", "user_prompt": "A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing."}, "raw_arguments": "{\"code\":\"import bpy, tempfile, os\\nscene=bpy.context.scene\\noutdir=tempfile.gettempdir()\\nscene.render.filepath=os.path.join(outdir,'red_sphere_presentation.png')\\nblendpath=os.path.join(outdir,'red_sphere_ground.blend')\\nbpy.ops.wm.save_as_mainfile(filepath=blendpath)\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('saved',blendpath,'render',scene.render.filepath,'contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}", "parse_error": null}], "tokens_in": 5506, "tokens_out": 254, "cost_usd": 0.012928, "cached_tokens": 5061}, "error": null}
{"ts": "2026-07-15T01:01:51.536350+00:00", "type": "assistant", "text": null, "tool_calls": [{"id": "call_WCRMKni9yzRLSFMzJeYe50HT", "name": "execute_blender_code", "arguments": {"code": "import bpy, tempfile, os\nscene=bpy.context.scene\noutdir=tempfile.gettempdir()\nscene.render.filepath=os.path.join(outdir,'red_sphere_presentation.png')\nblendpath=os.path.join(outdir,'red_sphere_ground.blend')\nbpy.ops.wm.save_as_mainfile(filepath=blendpath)\nbpy.ops.render.render(write_still=True)\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\nprint('saved',blendpath,'render',scene.render.filepath,'contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\n", "user_prompt": "A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing."}, "raw_arguments": "{\"code\":\"import bpy, tempfile, os\\nscene=bpy.context.scene\\noutdir=tempfile.gettempdir()\\nscene.render.filepath=os.path.join(outdir,'red_sphere_presentation.png')\\nblendpath=os.path.join(outdir,'red_sphere_ground.blend')\\nbpy.ops.wm.save_as_mainfile(filepath=blendpath)\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('saved',blendpath,'render',scene.render.filepath,'contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}", "parse_error": null}]}
{"ts": "2026-07-15T01:01:51.536350+00:00", "type": "tool_call", "id": "call_WCRMKni9yzRLSFMzJeYe50HT", "name": "execute_blender_code", "arguments": {"code": "import bpy, tempfile, os\nscene=bpy.context.scene\noutdir=tempfile.gettempdir()\nscene.render.filepath=os.path.join(outdir,'red_sphere_presentation.png')\nblendpath=os.path.join(outdir,'red_sphere_ground.blend')\nbpy.ops.wm.save_as_mainfile(filepath=blendpath)\nbpy.ops.render.render(write_still=True)\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\nprint('saved',blendpath,'render',scene.render.filepath,'contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\n", "user_prompt": "A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing."}, "raw_arguments": "{\"code\":\"import bpy, tempfile, os\\nscene=bpy.context.scene\\noutdir=tempfile.gettempdir()\\nscene.render.filepath=os.path.join(outdir,'red_sphere_presentation.png')\\nblendpath=os.path.join(outdir,'red_sphere_ground.blend')\\nbpy.ops.wm.save_as_mainfile(filepath=blendpath)\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('saved',blendpath,'render',scene.render.filepath,'contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}
{"ts": "2026-07-15T01:01:52.521067+00:00", "type": "tool_result", "tool_call_id": "call_WCRMKni9yzRLSFMzJeYe50HT", "name": "execute_blender_code", "text": "Code executed successfully: Info: Saved as \"red_sphere_ground.blend\"\nsaved <home>\\AppData\\Local\\Temp\\red_sphere_ground.blend render <home>\\AppData\\Local\\Temp\\red_sphere_presentation.png contact 0.0 0.0\n", "is_error": false, "has_image": false, "image_b64": null}
{"ts": "2026-07-15T01:01:54.980232+00:00", "type": "llm_call", "call_index": 5, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T01:01:52.521067+00:00", "finished_at": "2026-07-15T01:01:54.980232+00:00", "duration_s": 2.4530000000086147, "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\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. 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\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_3PioMtYAkDBd7YQa07Zmxvtl", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Clear scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\n# Materials\\nred = bpy.data.materials.new('Ball_Red')\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\nred.use_nodes = True\\npbs = red.node_tree.nodes.get('Principled BSDF')\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\npbs.inputs['Roughness'].default_value = 0.22\\npbs.inputs['Metallic'].default_value = 0.0\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\n\\nwhite = bpy.data.materials.new('Floor_White')\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\nwhite.use_nodes = True\\npbf = white.node_tree.nodes.get('Principled BSDF')\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\npbf.inputs['Roughness'].default_value = 0.38\\npbf.inputs['Metallic'].default_value = 0.0\\n\\n# Ground plane at z=0\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\nplane = bpy.context.object\\nplane.name = 'White Ground Plane'\\nplane.data.materials.append(white)\\n\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\nball = bpy.context.object\\nball.name = 'Red Sphere — 1m Diameter'\\nball.data.materials.append(red)\\nfor p in ball.data.polygons: p.use_smooth = True\\n\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\n# Set custom properties to make dimensions/contact explicit\\nball['diameter_m'] = 1.0\\nball['radius_m'] = 0.5\\nball['contact_plane_z'] = 0.0\\nball['lowest_point_z'] = 0.0\\nplane['surface_z'] = 0.0\\n\\n# Camera\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\ncam = bpy.context.object\\ncam.name = 'Presentation Camera'\\nbpy.context.scene.camera = cam\\ncam.data.lens = 68\\ncam.data.sensor_width = 36\\n\\ndef look_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\n\\nlook_at(cam, (0,0,0.44))\\n\\n# Key area light - large softbox\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\nkey = bpy.context.object\\nkey.name = 'Large Soft Key'\\nkey.data.energy = 850\\nkey.data.shape = 'DISK'\\nkey.data.size = 4.0\\nlook_at(key, (0,0,0.2))\\n\\n# Gentle rim/accent to reveal sphere edge and gloss\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\nrim = bpy.context.object\\nrim.name = 'Soft Rim Fill'\\nrim.data.energy = 300\\nrim.data.shape = 'DISK'\\nrim.data.size = 3.0\\nlook_at(rim, (0,0,0.55))\\n\\n# Broad top fill\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\nfill = bpy.context.object\\nfill.name = 'Top Fill'\\nfill.data.energy = 180\\nfill.data.size = 5.0\\nlook_at(fill, (0,0,0))\\n\\n# World\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\nbpy.context.scene.world = world\\nworld.use_nodes = True\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\n\\n# Render settings\\nscene = bpy.context.scene\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\nscene.render.image_settings.color_mode = 'RGB'\\n# AO/contact depth\\nscene.world.color = (0.8,0.8,0.8)\\n# color management\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\nscene.view_settings.exposure = 0.15\\n\\n# Camera clipping\\ncam.data.lens = 72\\ncam.data.dof.use_dof = False\\n\\n# Save and render\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\nprint('Render:', scene.render.filepath)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]}, {"role": "tool", "tool_call_id": "call_3PioMtYAkDBd7YQa07Zmxvtl", "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_9aJ5afTvWc2gp8ThaSzWwS76", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800\\nscene.render.resolution_y=800\\nscene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'\\nscene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False\\nscene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Eevee quality and soft shadows\\nif hasattr(scene,'eevee'):\\n    scene.eevee.use_gtao=True\\n    scene.eevee.gtao_distance=3\\n    scene.eevee.gtao_factor=1.15\\n    scene.eevee.taa_render_samples=128\\n    scene.eevee.use_soft_shadows=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\n# contact shadows on area lights if supported\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT' and hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n    if o.type=='LIGHT' and hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact:',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]}, {"role": "tool", "tool_call_id": "call_9aJ5afTvWc2gp8ThaSzWwS76", "content": "Error executing code: Communication error with Blender: Code execution error: 'SceneEEVEE' object has no attribute 'use_gtao'"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_mAEZtzzTGgkIdJouyXwaMD2r", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800; scene.render.resolution_y=800; scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'; scene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False; scene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Version-safe Eevee configuration\\nfor attr,val in [('taa_render_samples',128),('use_soft_shadows',True),('gtao_distance',3),('gtao_factor',1.15),('use_gtao',True)]:\\n    if hasattr(scene.eevee,attr): setattr(scene.eevee,attr,val)\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT':\\n        if hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n        if hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]}, {"role": "tool", "tool_call_id": "call_mAEZtzzTGgkIdJouyXwaMD2r", "content": "Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\apps\\console\\tmp\\red_sphere_ground.blend@ for writing: No such file or directory\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_WCRMKni9yzRLSFMzJeYe50HT", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, tempfile, os\\nscene=bpy.context.scene\\noutdir=tempfile.gettempdir()\\nscene.render.filepath=os.path.join(outdir,'red_sphere_presentation.png')\\nblendpath=os.path.join(outdir,'red_sphere_ground.blend')\\nbpy.ops.wm.save_as_mainfile(filepath=blendpath)\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('saved',blendpath,'render',scene.render.filepath,'contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]}, {"role": "tool", "tool_call_id": "call_WCRMKni9yzRLSFMzJeYe50HT", "content": "Code executed successfully: Info: Saved as \"red_sphere_ground.blend\"\nsaved <home>\\AppData\\Local\\Temp\\red_sphere_ground.blend render <home>\\AppData\\Local\\Temp\\red_sphere_presentation.png contact 0.0 0.0\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": "2026-07-15T01:01:52.521067+00:00", "finished_at": "2026-07-15T01:01:54.979728+00:00", "duration_s": 2.4530000000086147, "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": "28323", "content-type": "application/json"}, "body": "{\"model\":\"openai/gpt-5.6-sol\",\"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\\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. 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\\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\\nball, plain white on the floor.\\n\\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\\na soft believable shadow under the ball, a hint of glossiness that catches the\\nlight, and clean framing.\\n\\n</task>\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_3PioMtYAkDBd7YQa07Zmxvtl\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, math\\\\nfrom mathutils import Vector\\\\n\\\\n# Clear scene\\\\nbpy.ops.object.select_all(action='SELECT')\\\\nbpy.ops.object.delete(use_global=False)\\\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\\\n    pass\\\\n\\\\n# Materials\\\\nred = bpy.data.materials.new('Ball_Red')\\\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\\\nred.use_nodes = True\\\\npbs = red.node_tree.nodes.get('Principled BSDF')\\\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\\\npbs.inputs['Roughness'].default_value = 0.22\\\\npbs.inputs['Metallic'].default_value = 0.0\\\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\\\n\\\\nwhite = bpy.data.materials.new('Floor_White')\\\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\\\nwhite.use_nodes = True\\\\npbf = white.node_tree.nodes.get('Principled BSDF')\\\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\\\npbf.inputs['Roughness'].default_value = 0.38\\\\npbf.inputs['Metallic'].default_value = 0.0\\\\n\\\\n# Ground plane at z=0\\\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\\\nplane = bpy.context.object\\\\nplane.name = 'White Ground Plane'\\\\nplane.data.materials.append(white)\\\\n\\\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\\\nball = bpy.context.object\\\\nball.name = 'Red Sphere — 1m Diameter'\\\\nball.data.materials.append(red)\\\\nfor p in ball.data.polygons: p.use_smooth = True\\\\n\\\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\\\n# Set custom properties to make dimensions/contact explicit\\\\nball['diameter_m'] = 1.0\\\\nball['radius_m'] = 0.5\\\\nball['contact_plane_z'] = 0.0\\\\nball['lowest_point_z'] = 0.0\\\\nplane['surface_z'] = 0.0\\\\n\\\\n# Camera\\\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\\\ncam = bpy.context.object\\\\ncam.name = 'Presentation Camera'\\\\nbpy.context.scene.camera = cam\\\\ncam.data.lens = 68\\\\ncam.data.sensor_width = 36\\\\n\\\\ndef look_at(obj, target):\\\\n    direction = Vector(target) - obj.location\\\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\\\n\\\\nlook_at(cam, (0,0,0.44))\\\\n\\\\n# Key area light - large softbox\\\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\\\nkey = bpy.context.object\\\\nkey.name = 'Large Soft Key'\\\\nkey.data.energy = 850\\\\nkey.data.shape = 'DISK'\\\\nkey.data.size = 4.0\\\\nlook_at(key, (0,0,0.2))\\\\n\\\\n# Gentle rim/accent to reveal sphere edge and gloss\\\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\\\nrim = bpy.context.object\\\\nrim.name = 'Soft Rim Fill'\\\\nrim.data.energy = 300\\\\nrim.data.shape = 'DISK'\\\\nrim.data.size = 3.0\\\\nlook_at(rim, (0,0,0.55))\\\\n\\\\n# Broad top fill\\\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\\\nfill = bpy.context.object\\\\nfill.name = 'Top Fill'\\\\nfill.data.energy = 180\\\\nfill.data.size = 5.0\\\\nlook_at(fill, (0,0,0))\\\\n\\\\n# World\\\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\\\nbpy.context.scene.world = world\\\\nworld.use_nodes = True\\\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\\\n\\\\n# Render settings\\\\nscene = bpy.context.scene\\\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\\\nscene.render.resolution_x = 800\\\\nscene.render.resolution_y = 800\\\\nscene.render.resolution_percentage = 100\\\\nscene.render.image_settings.file_format = 'PNG'\\\\nscene.render.image_settings.color_mode = 'RGBA'\\\\nscene.render.film_transparent = False\\\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\\\nscene.render.image_settings.color_mode = 'RGB'\\\\n# AO/contact depth\\\\nscene.world.color = (0.8,0.8,0.8)\\\\n# color management\\\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\\\nscene.view_settings.exposure = 0.15\\\\n\\\\n# Camera clipping\\\\ncam.data.lens = 72\\\\ncam.data.dof.use_dof = False\\\\n\\\\n# Save and render\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\\\nprint('Render:', scene.render.filepath)\\\\n\\\",\\\"user_prompt\\\":\\\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_3PioMtYAkDBd7YQa07Zmxvtl\",\"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_9aJ5afTvWc2gp8ThaSzWwS76\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nscene=bpy.context.scene\\\\nscene.render.engine='BLENDER_EEVEE'\\\\nscene.render.resolution_x=800\\\\nscene.render.resolution_y=800\\\\nscene.render.resolution_percentage=100\\\\nscene.render.image_settings.file_format='PNG'\\\\nscene.render.image_settings.color_mode='RGB'\\\\nscene.render.film_transparent=False\\\\nscene.render.filepath='/tmp/red_sphere_presentation.png'\\\\n# Eevee quality and soft shadows\\\\nif hasattr(scene,'eevee'):\\\\n    scene.eevee.use_gtao=True\\\\n    scene.eevee.gtao_distance=3\\\\n    scene.eevee.gtao_factor=1.15\\\\n    scene.eevee.taa_render_samples=128\\\\n    scene.eevee.use_soft_shadows=True\\\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\\\nexcept: pass\\\\nscene.view_settings.exposure=0.1\\\\n# contact shadows on area lights if supported\\\\nfor o in bpy.data.objects:\\\\n    if o.type=='LIGHT' and hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\\\n    if o.type=='LIGHT' and hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\\\nprint('Exact contact:',ball.location.z-ball.dimensions.z/2,plane.location.z)\\\\n\\\",\\\"user_prompt\\\":\\\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_9aJ5afTvWc2gp8ThaSzWwS76\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: 'SceneEEVEE' object has no attribute 'use_gtao'\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_mAEZtzzTGgkIdJouyXwaMD2r\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nscene=bpy.context.scene\\\\nscene.render.engine='BLENDER_EEVEE'\\\\nscene.render.resolution_x=800; scene.render.resolution_y=800; scene.render.resolution_percentage=100\\\\nscene.render.image_settings.file_format='PNG'; scene.render.image_settings.color_mode='RGB'\\\\nscene.render.film_transparent=False; scene.render.filepath='/tmp/red_sphere_presentation.png'\\\\n# Version-safe Eevee configuration\\\\nfor attr,val in [('taa_render_samples',128),('use_soft_shadows',True),('gtao_distance',3),('gtao_factor',1.15),('use_gtao',True)]:\\\\n    if hasattr(scene.eevee,attr): setattr(scene.eevee,attr,val)\\\\nfor o in bpy.data.objects:\\\\n    if o.type=='LIGHT':\\\\n        if hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\\\n        if hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\\\nexcept: pass\\\\nscene.view_settings.exposure=0.1\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\\\nprint('Exact contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\\\n\\\",\\\"user_prompt\\\":\\\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_mAEZtzzTGgkIdJouyXwaMD2r\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\\\apps\\\\console\\\\tmp\\\\red_sphere_ground.blend@ for writing: No such file or directory\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_WCRMKni9yzRLSFMzJeYe50HT\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, tempfile, os\\\\nscene=bpy.context.scene\\\\noutdir=tempfile.gettempdir()\\\\nscene.render.filepath=os.path.join(outdir,'red_sphere_presentation.png')\\\\nblendpath=os.path.join(outdir,'red_sphere_ground.blend')\\\\nbpy.ops.wm.save_as_mainfile(filepath=blendpath)\\\\nbpy.ops.render.render(write_still=True)\\\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\\\nprint('saved',blendpath,'render',scene.render.filepath,'contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\\\n\\\",\\\"user_prompt\\\":\\\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_WCRMKni9yzRLSFMzJeYe50HT\",\"content\":\"Code executed successfully: Info: Saved as \\\"red_sphere_ground.blend\\\"\\nsaved <home>\\\\AppData\\\\Local\\\\Temp\\\\red_sphere_ground.blend render <home>\\\\AppData\\\\Local\\\\Temp\\\\red_sphere_presentation.png contact 0.0 0.0\\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-sol","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\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. 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\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_3PioMtYAkDBd7YQa07Zmxvtl","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Clear scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\n# Materials\\nred = bpy.data.materials.new('Ball_Red')\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\nred.use_nodes = True\\npbs = red.node_tree.nodes.get('Principled BSDF')\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\npbs.inputs['Roughness'].default_value = 0.22\\npbs.inputs['Metallic'].default_value = 0.0\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\n\\nwhite = bpy.data.materials.new('Floor_White')\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\nwhite.use_nodes = True\\npbf = white.node_tree.nodes.get('Principled BSDF')\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\npbf.inputs['Roughness'].default_value = 0.38\\npbf.inputs['Metallic'].default_value = 0.0\\n\\n# Ground plane at z=0\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\nplane = bpy.context.object\\nplane.name = 'White Ground Plane'\\nplane.data.materials.append(white)\\n\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\nball = bpy.context.object\\nball.name = 'Red Sphere — 1m Diameter'\\nball.data.materials.append(red)\\nfor p in ball.data.polygons: p.use_smooth = True\\n\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\n# Set custom properties to make dimensions/contact explicit\\nball['diameter_m'] = 1.0\\nball['radius_m'] = 0.5\\nball['contact_plane_z'] = 0.0\\nball['lowest_point_z'] = 0.0\\nplane['surface_z'] = 0.0\\n\\n# Camera\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\ncam = bpy.context.object\\ncam.name = 'Presentation Camera'\\nbpy.context.scene.camera = cam\\ncam.data.lens = 68\\ncam.data.sensor_width = 36\\n\\ndef look_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\n\\nlook_at(cam, (0,0,0.44))\\n\\n# Key area light - large softbox\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\nkey = bpy.context.object\\nkey.name = 'Large Soft Key'\\nkey.data.energy = 850\\nkey.data.shape = 'DISK'\\nkey.data.size = 4.0\\nlook_at(key, (0,0,0.2))\\n\\n# Gentle rim/accent to reveal sphere edge and gloss\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\nrim = bpy.context.object\\nrim.name = 'Soft Rim Fill'\\nrim.data.energy = 300\\nrim.data.shape = 'DISK'\\nrim.data.size = 3.0\\nlook_at(rim, (0,0,0.55))\\n\\n# Broad top fill\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\nfill = bpy.context.object\\nfill.name = 'Top Fill'\\nfill.data.energy = 180\\nfill.data.size = 5.0\\nlook_at(fill, (0,0,0))\\n\\n# World\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\nbpy.context.scene.world = world\\nworld.use_nodes = True\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\n\\n# Render settings\\nscene = bpy.context.scene\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\nscene.render.image_settings.color_mode = 'RGB'\\n# AO/contact depth\\nscene.world.color = (0.8,0.8,0.8)\\n# color management\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\nscene.view_settings.exposure = 0.15\\n\\n# Camera clipping\\ncam.data.lens = 72\\ncam.data.dof.use_dof = False\\n\\n# Save and render\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\nprint('Render:', scene.render.filepath)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]},{"role":"tool","tool_call_id":"call_3PioMtYAkDBd7YQa07Zmxvtl","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_9aJ5afTvWc2gp8ThaSzWwS76","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800\\nscene.render.resolution_y=800\\nscene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'\\nscene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False\\nscene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Eevee quality and soft shadows\\nif hasattr(scene,'eevee'):\\n    scene.eevee.use_gtao=True\\n    scene.eevee.gtao_distance=3\\n    scene.eevee.gtao_factor=1.15\\n    scene.eevee.taa_render_samples=128\\n    scene.eevee.use_soft_shadows=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\n# contact shadows on area lights if supported\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT' and hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n    if o.type=='LIGHT' and hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact:',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]},{"role":"tool","tool_call_id":"call_9aJ5afTvWc2gp8ThaSzWwS76","content":"Error executing code: Communication error with Blender: Code execution error: 'SceneEEVEE' object has no attribute 'use_gtao'"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_mAEZtzzTGgkIdJouyXwaMD2r","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800; scene.render.resolution_y=800; scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'; scene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False; scene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Version-safe Eevee configuration\\nfor attr,val in [('taa_render_samples',128),('use_soft_shadows',True),('gtao_distance',3),('gtao_factor',1.15),('use_gtao',True)]:\\n    if hasattr(scene.eevee,attr): setattr(scene.eevee,attr,val)\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT':\\n        if hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n        if hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]},{"role":"tool","tool_call_id":"call_mAEZtzzTGgkIdJouyXwaMD2r","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\\red_sphere_ground.blend@ for writing: No such file or directory\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_WCRMKni9yzRLSFMzJeYe50HT","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, tempfile, os\\nscene=bpy.context.scene\\noutdir=tempfile.gettempdir()\\nscene.render.filepath=os.path.join(outdir,'red_sphere_presentation.png')\\nblendpath=os.path.join(outdir,'red_sphere_ground.blend')\\nbpy.ops.wm.save_as_mainfile(filepath=blendpath)\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('saved',blendpath,'render',scene.render.filepath,'contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]},{"role":"tool","tool_call_id":"call_WCRMKni9yzRLSFMzJeYe50HT","content":"Code executed successfully: Info: Saved as \"red_sphere_ground.blend\"\nsaved C:\\Users\\gruku\\AppData\\Local\\Temp\\red_sphere_ground.blend render C:\\Users\\gruku\\AppData\\Local\\Temp\\red_sphere_presentation.png contact 0.0 0.0\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    - 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"}
{"ts": "2026-07-15T01:01:56.191834+00:00", "type": "image", "tool": "get_viewport_screenshot"}
{"ts": "2026-07-15T01:02:01.943301+00:00", "type": "llm_call", "call_index": 6, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T01:01:56.191834+00:00", "finished_at": "2026-07-15T01:02:01.942793+00:00", "duration_s": 5.75, "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\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. 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\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_3PioMtYAkDBd7YQa07Zmxvtl", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Clear scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\n# Materials\\nred = bpy.data.materials.new('Ball_Red')\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\nred.use_nodes = True\\npbs = red.node_tree.nodes.get('Principled BSDF')\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\npbs.inputs['Roughness'].default_value = 0.22\\npbs.inputs['Metallic'].default_value = 0.0\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\n\\nwhite = bpy.data.materials.new('Floor_White')\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\nwhite.use_nodes = True\\npbf = white.node_tree.nodes.get('Principled BSDF')\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\npbf.inputs['Roughness'].default_value = 0.38\\npbf.inputs['Metallic'].default_value = 0.0\\n\\n# Ground plane at z=0\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\nplane = bpy.context.object\\nplane.name = 'White Ground Plane'\\nplane.data.materials.append(white)\\n\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\nball = bpy.context.object\\nball.name = 'Red Sphere — 1m Diameter'\\nball.data.materials.append(red)\\nfor p in ball.data.polygons: p.use_smooth = True\\n\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\n# Set custom properties to make dimensions/contact explicit\\nball['diameter_m'] = 1.0\\nball['radius_m'] = 0.5\\nball['contact_plane_z'] = 0.0\\nball['lowest_point_z'] = 0.0\\nplane['surface_z'] = 0.0\\n\\n# Camera\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\ncam = bpy.context.object\\ncam.name = 'Presentation Camera'\\nbpy.context.scene.camera = cam\\ncam.data.lens = 68\\ncam.data.sensor_width = 36\\n\\ndef look_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\n\\nlook_at(cam, (0,0,0.44))\\n\\n# Key area light - large softbox\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\nkey = bpy.context.object\\nkey.name = 'Large Soft Key'\\nkey.data.energy = 850\\nkey.data.shape = 'DISK'\\nkey.data.size = 4.0\\nlook_at(key, (0,0,0.2))\\n\\n# Gentle rim/accent to reveal sphere edge and gloss\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\nrim = bpy.context.object\\nrim.name = 'Soft Rim Fill'\\nrim.data.energy = 300\\nrim.data.shape = 'DISK'\\nrim.data.size = 3.0\\nlook_at(rim, (0,0,0.55))\\n\\n# Broad top fill\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\nfill = bpy.context.object\\nfill.name = 'Top Fill'\\nfill.data.energy = 180\\nfill.data.size = 5.0\\nlook_at(fill, (0,0,0))\\n\\n# World\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\nbpy.context.scene.world = world\\nworld.use_nodes = True\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\n\\n# Render settings\\nscene = bpy.context.scene\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\nscene.render.image_settings.color_mode = 'RGB'\\n# AO/contact depth\\nscene.world.color = (0.8,0.8,0.8)\\n# color management\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\nscene.view_settings.exposure = 0.15\\n\\n# Camera clipping\\ncam.data.lens = 72\\ncam.data.dof.use_dof = False\\n\\n# Save and render\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\nprint('Render:', scene.render.filepath)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]}, {"role": "tool", "tool_call_id": "call_3PioMtYAkDBd7YQa07Zmxvtl", "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_9aJ5afTvWc2gp8ThaSzWwS76", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800\\nscene.render.resolution_y=800\\nscene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'\\nscene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False\\nscene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Eevee quality and soft shadows\\nif hasattr(scene,'eevee'):\\n    scene.eevee.use_gtao=True\\n    scene.eevee.gtao_distance=3\\n    scene.eevee.gtao_factor=1.15\\n    scene.eevee.taa_render_samples=128\\n    scene.eevee.use_soft_shadows=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\n# contact shadows on area lights if supported\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT' and hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n    if o.type=='LIGHT' and hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact:',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]}, {"role": "tool", "tool_call_id": "call_9aJ5afTvWc2gp8ThaSzWwS76", "content": "Error executing code: Communication error with Blender: Code execution error: 'SceneEEVEE' object has no attribute 'use_gtao'"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_mAEZtzzTGgkIdJouyXwaMD2r", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800; scene.render.resolution_y=800; scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'; scene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False; scene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Version-safe Eevee configuration\\nfor attr,val in [('taa_render_samples',128),('use_soft_shadows',True),('gtao_distance',3),('gtao_factor',1.15),('use_gtao',True)]:\\n    if hasattr(scene.eevee,attr): setattr(scene.eevee,attr,val)\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT':\\n        if hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n        if hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]}, {"role": "tool", "tool_call_id": "call_mAEZtzzTGgkIdJouyXwaMD2r", "content": "Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\apps\\console\\tmp\\red_sphere_ground.blend@ for writing: No such file or directory\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_WCRMKni9yzRLSFMzJeYe50HT", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, tempfile, os\\nscene=bpy.context.scene\\noutdir=tempfile.gettempdir()\\nscene.render.filepath=os.path.join(outdir,'red_sphere_presentation.png')\\nblendpath=os.path.join(outdir,'red_sphere_ground.blend')\\nbpy.ops.wm.save_as_mainfile(filepath=blendpath)\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('saved',blendpath,'render',scene.render.filepath,'contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]}, {"role": "tool", "tool_call_id": "call_WCRMKni9yzRLSFMzJeYe50HT", "content": "Code executed successfully: Info: Saved as \"red_sphere_ground.blend\"\nsaved <home>\\AppData\\Local\\Temp\\red_sphere_ground.blend render <home>\\AppData\\Local\\Temp\\red_sphere_presentation.png contact 0.0 0.0\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_9mBemTtQAyZtOWpHf9taBJ3E", "type": "function", "function": {"name": "get_viewport_screenshot", "arguments": "{\"max_size\":800,\"user_prompt\":\"Verify the finished exact-contact red sphere studio scene and presentation.\"}"}}]}, {"role": "tool", "tool_call_id": "call_9mBemTtQAyZtOWpHf9taBJ3E", "content": ""}, {"role": "user", "content": [{"type": "image_url", "image_url": {"url": 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"}}]}], "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": "2026-07-15T01:01:56.191834+00:00", "finished_at": "2026-07-15T01:02:01.941793+00:00", "duration_s": 5.75, "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": "193568", "content-type": "application/json"}, "body": "{\"model\":\"openai/gpt-5.6-sol\",\"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\\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. 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\\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\\nball, plain white on the floor.\\n\\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\\na soft believable shadow under the ball, a hint of glossiness that catches the\\nlight, and clean framing.\\n\\n</task>\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_3PioMtYAkDBd7YQa07Zmxvtl\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, math\\\\nfrom mathutils import Vector\\\\n\\\\n# Clear scene\\\\nbpy.ops.object.select_all(action='SELECT')\\\\nbpy.ops.object.delete(use_global=False)\\\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\\\n    pass\\\\n\\\\n# Materials\\\\nred = bpy.data.materials.new('Ball_Red')\\\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\\\nred.use_nodes = True\\\\npbs = red.node_tree.nodes.get('Principled BSDF')\\\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\\\npbs.inputs['Roughness'].default_value = 0.22\\\\npbs.inputs['Metallic'].default_value = 0.0\\\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\\\n\\\\nwhite = bpy.data.materials.new('Floor_White')\\\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\\\nwhite.use_nodes = True\\\\npbf = white.node_tree.nodes.get('Principled BSDF')\\\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\\\npbf.inputs['Roughness'].default_value = 0.38\\\\npbf.inputs['Metallic'].default_value = 0.0\\\\n\\\\n# Ground plane at z=0\\\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\\\nplane = bpy.context.object\\\\nplane.name = 'White Ground Plane'\\\\nplane.data.materials.append(white)\\\\n\\\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\\\nball = bpy.context.object\\\\nball.name = 'Red Sphere — 1m Diameter'\\\\nball.data.materials.append(red)\\\\nfor p in ball.data.polygons: p.use_smooth = True\\\\n\\\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\\\n# Set custom properties to make dimensions/contact explicit\\\\nball['diameter_m'] = 1.0\\\\nball['radius_m'] = 0.5\\\\nball['contact_plane_z'] = 0.0\\\\nball['lowest_point_z'] = 0.0\\\\nplane['surface_z'] = 0.0\\\\n\\\\n# Camera\\\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\\\ncam = bpy.context.object\\\\ncam.name = 'Presentation Camera'\\\\nbpy.context.scene.camera = cam\\\\ncam.data.lens = 68\\\\ncam.data.sensor_width = 36\\\\n\\\\ndef look_at(obj, target):\\\\n    direction = Vector(target) - obj.location\\\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\\\n\\\\nlook_at(cam, (0,0,0.44))\\\\n\\\\n# Key area light - large softbox\\\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\\\nkey = bpy.context.object\\\\nkey.name = 'Large Soft Key'\\\\nkey.data.energy = 850\\\\nkey.data.shape = 'DISK'\\\\nkey.data.size = 4.0\\\\nlook_at(key, (0,0,0.2))\\\\n\\\\n# Gentle rim/accent to reveal sphere edge and gloss\\\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\\\nrim = bpy.context.object\\\\nrim.name = 'Soft Rim Fill'\\\\nrim.data.energy = 300\\\\nrim.data.shape = 'DISK'\\\\nrim.data.size = 3.0\\\\nlook_at(rim, (0,0,0.55))\\\\n\\\\n# Broad top fill\\\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\\\nfill = bpy.context.object\\\\nfill.name = 'Top Fill'\\\\nfill.data.energy = 180\\\\nfill.data.size = 5.0\\\\nlook_at(fill, (0,0,0))\\\\n\\\\n# World\\\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\\\nbpy.context.scene.world = world\\\\nworld.use_nodes = True\\\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\\\n\\\\n# Render settings\\\\nscene = bpy.context.scene\\\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\\\nscene.render.resolution_x = 800\\\\nscene.render.resolution_y = 800\\\\nscene.render.resolution_percentage = 100\\\\nscene.render.image_settings.file_format = 'PNG'\\\\nscene.render.image_settings.color_mode = 'RGBA'\\\\nscene.render.film_transparent = False\\\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\\\nscene.render.image_settings.color_mode = 'RGB'\\\\n# AO/contact depth\\\\nscene.world.color = (0.8,0.8,0.8)\\\\n# color management\\\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\\\nscene.view_settings.exposure = 0.15\\\\n\\\\n# Camera clipping\\\\ncam.data.lens = 72\\\\ncam.data.dof.use_dof = False\\\\n\\\\n# Save and render\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\\\nprint('Render:', scene.render.filepath)\\\\n\\\",\\\"user_prompt\\\":\\\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_3PioMtYAkDBd7YQa07Zmxvtl\",\"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_9aJ5afTvWc2gp8ThaSzWwS76\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nscene=bpy.context.scene\\\\nscene.render.engine='BLENDER_EEVEE'\\\\nscene.render.resolution_x=800\\\\nscene.render.resolution_y=800\\\\nscene.render.resolution_percentage=100\\\\nscene.render.image_settings.file_format='PNG'\\\\nscene.render.image_settings.color_mode='RGB'\\\\nscene.render.film_transparent=False\\\\nscene.render.filepath='/tmp/red_sphere_presentation.png'\\\\n# Eevee quality and soft shadows\\\\nif hasattr(scene,'eevee'):\\\\n    scene.eevee.use_gtao=True\\\\n    scene.eevee.gtao_distance=3\\\\n    scene.eevee.gtao_factor=1.15\\\\n    scene.eevee.taa_render_samples=128\\\\n    scene.eevee.use_soft_shadows=True\\\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\\\nexcept: pass\\\\nscene.view_settings.exposure=0.1\\\\n# contact shadows on area lights if supported\\\\nfor o in bpy.data.objects:\\\\n    if o.type=='LIGHT' and hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\\\n    if o.type=='LIGHT' and hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\\\nprint('Exact contact:',ball.location.z-ball.dimensions.z/2,plane.location.z)\\\\n\\\",\\\"user_prompt\\\":\\\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_9aJ5afTvWc2gp8ThaSzWwS76\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: 'SceneEEVEE' object has no attribute 'use_gtao'\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_mAEZtzzTGgkIdJouyXwaMD2r\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nscene=bpy.context.scene\\\\nscene.render.engine='BLENDER_EEVEE'\\\\nscene.render.resolution_x=800; scene.render.resolution_y=800; scene.render.resolution_percentage=100\\\\nscene.render.image_settings.file_format='PNG'; scene.render.image_settings.color_mode='RGB'\\\\nscene.render.film_transparent=False; scene.render.filepath='/tmp/red_sphere_presentation.png'\\\\n# Version-safe Eevee configuration\\\\nfor attr,val in [('taa_render_samples',128),('use_soft_shadows',True),('gtao_distance',3),('gtao_factor',1.15),('use_gtao',True)]:\\\\n    if hasattr(scene.eevee,attr): setattr(scene.eevee,attr,val)\\\\nfor o in bpy.data.objects:\\\\n    if o.type=='LIGHT':\\\\n        if hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\\\n        if hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\\\nexcept: pass\\\\nscene.view_settings.exposure=0.1\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\\\nprint('Exact contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\\\n\\\",\\\"user_prompt\\\":\\\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_mAEZtzzTGgkIdJouyXwaMD2r\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\\\apps\\\\console\\\\tmp\\\\red_sphere_ground.blend@ for writing: No such file or directory\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_WCRMKni9yzRLSFMzJeYe50HT\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, tempfile, os\\\\nscene=bpy.context.scene\\\\noutdir=tempfile.gettempdir()\\\\nscene.render.filepath=os.path.join(outdir,'red_sphere_presentation.png')\\\\nblendpath=os.path.join(outdir,'red_sphere_ground.blend')\\\\nbpy.ops.wm.save_as_mainfile(filepath=blendpath)\\\\nbpy.ops.render.render(write_still=True)\\\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\\\nprint('saved',blendpath,'render',scene.render.filepath,'contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\\\n\\\",\\\"user_prompt\\\":\\\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_WCRMKni9yzRLSFMzJeYe50HT\",\"content\":\"Code executed successfully: Info: Saved as \\\"red_sphere_ground.blend\\\"\\nsaved <home>\\\\AppData\\\\Local\\\\Temp\\\\red_sphere_ground.blend render <home>\\\\AppData\\\\Local\\\\Temp\\\\red_sphere_presentation.png contact 0.0 0.0\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_9mBemTtQAyZtOWpHf9taBJ3E\",\"type\":\"function\",\"function\":{\"name\":\"get_viewport_screenshot\",\"arguments\":\"{\\\"max_size\\\":800,\\\"user_prompt\\\":\\\"Verify the finished exact-contact red sphere studio scene and presentation.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_9mBemTtQAyZtOWpHf9taBJ3E\",\"content\":\"\"},{\"role\":\"user\",\"content\":[{\"type\":\"image_url\",\"image_url\":{\"url\":\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAHRCAIAAAAdQ0qqAAAAAXNSR0IDN8dNUwAAAARnQU1BAACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAAADZlWElmTU0AKgAAABgAAABIAAAAAQAAAEgAAAABAAIBGgAFAAAAAQAAAAgBGwAFAAAAAQAAABAAAAAAkHjvvAAAAAlvRkZzAAAAAAAAAAAA2iq2zgAAAAlwSFlzAAALEgAACxIB0t1+/AAAIABJREFUeAHsvWmQZcdVP1jv1V7V1VW9VHX1qm5J1motNpZlZPy35QUMf4NtPA4IQ8REeL4QE8QQ4eADX0wE84kJYgL4AAGEI2bAARgIz5g/GMsjFkneLVu7rF2tpZfqvbr2veZ3zsk8eTLv8u579WppWber7zt58ux5Mm/eLW/t6NGjo6Oj3d3dtVqtI7MJcn19PVNTiGiKuFBKtQqYt5XqqhkVqHJDGqo3Bm3ccbR3V0fH8sbM2DzuZnOvPNoI1+rqalcXPG5iKwmyqiuiWVtbq9frTShrK6maB6lFFraskIUHDQ6q1eqAeBgx+1pHrUPwjHTFDmDxX3aoBug2Qrds2MYZ++pLC2s9a2urNd923hr/u3EdTUvIGX4TlDcOv9FgzXhCsk5P1bQBTTGQLvxHm66zXmpyQVQT09WxyuN6baWjsxpH01QwTCLDQBKf3NCGqLI75GKGrjk3C4x2YhObPDFb7Qtb+YsxBAMaNv5dX+MSdsCvrtIeAUFtCybxsNA0X3ZMqyIny9W04soMi4uLFy9erL373e/u7KQ8hn0LCwvCLnaIxQr39PQIBgeq5eVlwGquhSsb0DQh7MREUNlaUCr2q4QtADREW6CrBRU4/qPtN3WOtcGYK3uVSBbRIGMRHMnzFqJUzqIWgswaAKWbpLGCPdYodG03heFeztyo9yQE1Ot02OB/MukhmNhoagSG2dnZ6ekp9U6Q5WY0rB0ZGRka2g2yS5cuzs3NFdGjy4+NHcBUFcN3d3c6P758+fLU1FQRL/B9/f2j+/fD8Vz2q1NTkhsqobu2urzeCU/Fx96enr6+fl/L0wZf2NivHJ2T42Ub5W/Muk3k3i4fc/VWR25iRK510YuLCxcuXNDBQQHxC/2or68Pk4fVtbXeg+/t2nOD95eSf31p6uKT/5CwoLPLgb6rf8/ADR+vdYaDPlhmX3tk5tzzXgj9QoVOTjCq9Pdrh6XamZmZ6elpAENDQ7t27SKU2WZ23VUfGDMIArsn/rO7TocMu2HOY6cfUoXx5+rVq5bMGgOWrt7e3pWVFVCgsLS0JKTw8Od//ufvuOOOr3zlK2+++abygxhVMPe6667bu3fv888/Pz8/Pz4+fsMNNzz66KPKrvTtBWAh4giZMvbpIFhRC+ixVSRuC5nY2RZR7RWihiEcOOlA/lIGbM62wZgruzZ6U2aCXSY66nJT7FWI1UIQqxaLTIQojQLChp4VBFCd/OsgvCNlrFzuASnPiqQmkBOTGuKO3447saOZIro8et/nPve5119//dvf/nYzrIW0k5OTmGCtrq4AECIMxB/96EfRXmfPnn3iiScEiVFlYWF+YGCws7OO7o9hZ8+ePQgvzgbPnDkDGjvsfOELX0DtF7/4RdWK2j0je3DlEpMzjLy7d9OUDgHBsIsqSQ8hHhkemV+YX11aXMVlDT/BWlhc7O3t8wHU+ZA9MAssA4sSqP4iIJcyF1kk4RrF5/voLynBKRBIMAVul5u5eqsj22XGW1AOBgdcrUHn+sxnPiNnSl/72tfs1Sx0n9HRsZXVte7rP9rV1Tm/SEebj91z9AN3Hfzf//L/w8BiiSVAmMqAq/fAXV173gHMZ++/AcSPv3Txbx54cebNR8GSjaNMToaHh1H1rne9S2gwo/r+97+Pzg4kqrDdeOONg4ODsPnFF1/EGFIfGB8Zv/HXPnLDiYO7z16a+8f/fPn8lfmuy32DvR3vfe97MVycPn361KlTmEhBAgaom2++GZ5iynSONyCLjEEVTKIzQj98AKRtYGAAc70PfOAD99xzD4awv/3bvxU89qAUYgT0/PnzMpBh9vp3f/d3ckTBKfunPvUpjFxvvPEGbj4+9dRTUC9cV65cAc3+/fvHxsYu8fbbv/3bf/iHf/i7v/u7X/rSlxAIXE8D+2233YYpISIC+ux5rQx82h4f+chH/uM//uP++++HMYgCDkXwXDRiSEUQ1XIAd911F/yC5BdeeEHGWexFF7hgGGph+cmTJy0X4J/7uZ9DSzz++OOwHM0Dp975znc+88wzydQV7YEDAFyAEMxKJyYmbrnlFsQBluAQgmko8O94xzu+973vJfK1KLHV4qYC0l5QgYk6xjPkQU7ObqoFTQoXgyVEany5DByqQY/4l5PZWm0CBag2c/OL+wxPgNxlHpZBPMxXqyEJ0btc0fUbHs2ZiUXSjtjMIE+VO3VD58Iog6xGr7n33nu/853vaPdEN0TmoxOBBtMvTHEA4BwMPQVInFMePnz4pZdeQo8udw4jxkMPPYQeirM7jLDZkQudFGMcuj+ijByAIthjZWIQSHqlrcXwip4o7ODViR1oMOgtLC5gP7NUeC3NiLLNJLDFgBBdKsEY7rfBTATizH87dJkA7XjEZz/7WTxrhJ6Owxx65Xe/+92syYP9PXfeuG+ov/vZ1y4vLa9+/9lzdGk9b8MJVf9A/2oPhtCOA/sGPnHf8QN7+286OvLSm5NffyqPweNwgEbXRgkHYowVsARjkVQCg2M0pjQYlHBJ/n3vex9GG1T9r5++/cjYLlx72T3Q87/9T3f+wf/1KJCY/9x+++0vv/zy008/jcM96OEXDujHjh3DvAKjH2ZaGACT8UcUYS9Kse/CfxyH9IiFIQyj26uvvvrKK6/AoP/6r//6mZ/5GRRxjQrDJciEEnLhCUyELEzx/viP/1hEY26I+dYjjzzyiU98AueaCDcEwh/AUATLIBZTDcylQI9Zy3ve8x4Ad955J66EYdaJYRqjMOYxGApB/+Uvfxm1iNehQ4cQrJ/85CcysIou7OE2fMZsBkMzhMA2mAobMDpj9PzhD3+olAAw44RY3FCAg5CDc3HMqBBEwCDGTGjfvn04dbYsgFEL7RiUcZyGa5gI/uzP/qzgUWWJMTo//PDDH/zgB2EqDq6YloEAbQOa1157DSpQRFXCZSUAlvAmyM0uyp1zXMfa4XMsjQNyA2HUWAHmKRDXA8SsEU8DrK/TOU1np0xpqKmYTn755pdDyQ8OiDLKswDgZK4UDpTc2FGLE1HBBvm9Pb2+8q1wuMUogb6JnosejfMZNIH3rgOndI899titt96Kfvfxj38ctegs6IYf+9jHMOPBoIaTRY2qHU9UAhh/6Zd+CZOwP/iDP/j93/99NBw6Gjo1hiDwerIaVKPRcQoE+RgW0H9RhSEPnRcjDM76vvrVrx44cECQstfrbTAYLqCT/s7v/A5OCNHT0Rm9ZDrXhHd9vT24MIjZEe4M4smS7p5ujKpK0wyQmydvhTRoJghv02YjgBzAZtPjrZAV6PW4hYUjOI6q6Ia4aAQncXDH4fj48ePPPvsse90xObP4yBNnurvq97/r0Ktnpk+enVpecnficPkDYwWmGXLUxnDRWe9E3f3vPjw9t9zdVXvshQvvvnm0txuPtNCGzotjq0xx5PISTuTkdA5j0ZEjR2AJzgOFWAYfHP0xwuBQjnkI5hsYczBwrQ1033hkeH6RzEBLjI70Hx4dPP9aFwYf4ZUBB5MWnPhBKTRidoUqjAzQAoGAIQcXhuA45kJyGgktwt4FSA9UQIEfE5HnnnsO4xpCg/EU1mO29G//9m/C4NjiqwIY72SWBvaDBw/ijBZzEcxnMephFgW3MXOCw7ADQyROMXESDLFPPvkkKH/0ox/BW1DihBVyZA4EXtCLLliM2SLmUiADgTUDEj7/+c//2Z/9GVyFI6DE1SlYC6U//vGPdUwXFszbIAROITSoghnAYATHZBFFGIZaGJZwgR7TWAz3GJoxA0OsMFIj0ACwWWMgFikFCwHIcC+n9ZjSoUVxPIDLwCRcVsI2wm2ZYyWh0yIdjLVAgCukF4a4CoMPzZ74sSEaiZiaf2RYojoJlAKugrA061pcWkTnRP/ZrniiL9Q7w/wjHk+3y6jW9EajP/ovzi7Q6WTcxIgjQuEvLs1iuiPjALowUh1DEjo+TsPQrdAokv+gx2ibHU/wNMIPfvAD9MS//Mu/xKUvXC1GXwYvJEivZEXrGJTQYaEONMDLxSqc/5w4cQLNjX6HWpzJ4CQVJ12Y3mE0ULdhAxIGgyCOBDAPlBAutZRP3JcX5mb6B4eWp2eWlpd3DQ5iwFH2dgD2sNoOeW/LuPYikM2BLOba8wpd/k//9E8x88ClFn0mEhdEfvEXfzGZOQz2d330PUf/88encMvv1bPh6Uk8boRTrH//939PnO/qqv/4hQuPPHF2eFfPg4+++e2n3RVrHOKxQS+0CEtPD55fctMvnN1hHoLjDo7aPPjsxR4TDMwrMALg8I09jtEYxxZX1lbwTIDfAOEOJuYSGOVAI6d5mF3gpE4kfOtb3wIt5GO4w2Fd+DBQQDiQGLW8JPdbw4gpAw32oLv++usxS4C3qMfFIVxDw/mo0GJyQJcE6nWMaxj7MPe6++67MWZhpMMdP0w/YRAoMXKBDDMtDHkYcHFhCW5gLMbwBxNRhbhAFIhRC3YgMWKKzyhKFchAD7wz0/9gAuRB+gUvhMByKEUR7ApneUEgYgHANhiAPVhAiYCqYcmNCUgGAciES8QiCAkZamGMeIFaWIVw4zCAC4wowhdRDY1ZRvBuzSZeqC4pYs8A7eQhoDU/raHrt1zHoZVJDiHSZ6KFhveygwrBGV2E0+ImASuruEO8glAn2jdJXZFYPPWJB3eKajcTH82H2qgI85WlpcVPfvKTGGtwuQiScV0KJzZ6hRzZLl0eHQRJjoRHR0ZnREOgL6CY7TIgOHr0GJ7BwvVdiEVnwdQHp8IPPPAA6K3xGCtxywDJiP4F/PHjx+W0UG7E4woWhj+cIMEAMGJih05n2a+77jhswCNcoJFRDqphMKZZ5y9cQH8cGR6em58HL55w3zWyXwYrSSGYPbx7eHvTyfryNrwJEZBes1l9ZxMM3lkiL168gP6FC8+/93u/l3tOggH5yJGjeAbr7k9+8b53jn/tWyfPXJz9mZtHX5uYvnDuzOmH/g9058Sl8fGD6KFLI3f/0ic/+4OfnMM9tuPjQ0+9cglkV5/9p8nXo3tTQMpggt59//0fwumZSMNMBpdv0K8XFmhmghtLuMaG+R+O1KDEXAIXkiZH7v/V//7ffvHe65ZX17o66z/8ybn/+xvPd5/8u1tuOIKhDFMovAWIIQLzKkwYTpw4gSEIeMyuMD/DhBLTHrkdJxplD2PgMmCaCWDskOEDMwkAGD0hFNefUI2plc6uUBQCGIcBFEIx6uFxImjFrFBGLpEO9RjpAMMsbLhaKPKlVhoAXCjCSUFirw0jgBaVAADMxR4GWKQIgVJFWliRAohewAg6rLIGoAoYGJywiDRRCi6pzVUBdpGPdAElNozgQIIYexTBm5Wv6kCjsAMYxbMZQgiBI9OLP6ZMNPzos/CxPH/ph2dKvGMqITUzHkcMPDZEOGuMVO3gPYKP60ZyDN5GM9HckqjFNmzeUJ5JoWIjmqrp7e3BBOsb3/gGXMMJEnhxcUhnVyjiLAt7SXLpHUIGpOR8tstgGEItEhkAxilcHsNzD7iOJUJQJRsNUl10MVLeBkduY16FMUe1YzoFFTJuop/iCpZnpV8MVvQyALGvggZacNYLenuuiXcJdVSZxDmoT36w4VKo62FW6NvwWyoC0ms2q++8pUKV5wz6L+YDf/Inf5J71AYH5hvYoxe+9OLzI7t6Ji7T9ODl01dx8yxPHh3ocXGGqhYu/Mejr99z60H0wR+/4C705LLohAZXczCLEhocEdDrcZSXLgwAYwUeW8LNRFwSkqtIoPwf337t5VNTNxwePnV+5omXL8r8Qs7ZcHUcAjEpkvEBdwBxJR4SMMPB5MzOH6xVmG7CBbBAb7iCBQqgsFlShYnUjztAZqecStkuQDRaRYJpl/xm5Vj3PS9NfgKeISlijxAzmWJ5rqMTI6rjgsxy/ASIpkj6z6th0i3u/5s3CTBetQlE0qIvoZ/7mLdFbosRwMRi2yd5bfHfCkE3hF9Fg4OlrAhjLMHyB9JeyyvLS4vRJSsrBEOtDNDQziNaNECt4Lw4c/pr2ZEVmGMBg5V7VldwGhaxM2/oWX31lYU1GtmhC/0WRmJu19aksqa9Db8dgbdCBNBZMDgUdUPb01fW8E4VnVaFbX11ZSHcKBQ8JigyYYLk5fXudbqzEra15dm1lWi4sCowo8IidoG6o4YLQ9KFYSGf5kUjwGqtt1bPPEyyMsMnZUaMHxMiFF0kSscfjBoY/7HHi7EYR6IJVsK8vUUysWC2l2cYjYbJBpRMYQTvKPiHIm7LUuBZEYmhKvOPiyzfIEFgNifMYHgoj2iiyh1foOhnY7rzzMYpyjJuC/bRK3vbbp2c02CA2HZL3jaghQgM1Bfn1uhsG2NxO+dVW5yY0RGELmunW0KQVheUs3IKCDeKtuZtmdKNGm34rf2CbosXWbFG59vgjozAenQkyJslbNTs7CRJtWA+MzDQz9M9jGa45ENX4/FwM844u7t7aPbHMx66NclXioDtxG1S3AfyeB4EpRKge2SIRLiEph9VR7D7v1GnqvBfm/fZIs9wlRMvxEcoU0j6u9BlkI6dpvNmk8kQUIXSDXERCHasUYmX9eRtsiKyiviNWCIqYM+5cxPjB8YraqxCZqPWmoVWQhWNDWi45URmRXuI2DBU5GpgxuZUH+2efHN5BLKXV1bwAKkocfbDbkDeev+7OXbEUiV4ihNDtAigDJMwC5u3nn99wUrcYbB3QhrAldjr4uFpx7jgjadrIGRUjX7JbvEGGAWk2vUWJiUMbdveSMGL2Fxr/bYbKbEq2gcXXEPUcGp+8uSrk5PhyfTsdCVIC/wBlwvRlENisU7rH7mtf/SWoRs+gqbHnVFcVIMmAPVTD/TUFjB3wSxHdOMiGx6SwFwHUuRMnSnXcI+mBCnsOC8EF+5f0pyIr93d8957wQVrnEWUfHxxfvszyselvb9bn4OcFjq/kUhTkDnCkjOJUZpIuDKL61hraKuILiFvZ4Cqi8aV2XMTE6P7R/FUTTst2IAsPNaDZzM3yR6+4OyN41bUNhWsb1BtPUJTV3ecfCiqHl+vqs2/bB1bTqbtqK2zY72/e65/Ga8ddXSvLGNl0ox5YnHUFKDxjiT+RA3Bh8iIUbhkqBdFhOHQuKKKdscDKktVO/aRMU6096Qd8rdEBiKjcQSgxU1VLgdCVsEtFpRJ82jDuxR3zVfSduAIt2uIzrlSwhKU7hBIDtwwRg4uSC92RG6E7DxHpBH7+2+59bYffO+7VKp1TF29ijFcalqOKhp9ZGTP8MiwSKDlZHDXEoWB6++95547Tl2YxWIVh/YPYh0wPLr/+gRWoFjBGg/vf//7MT3ChnVl8KI1plZ46wcLSoERdFh5AstXAImFDH71V38VSFDiITIsowUkDjl4SwjvHuJJWLzygzWa5ek2VMmtVjEFe/iGK1la3HFA5TyBI00fQMyIJ7wkxE2DqM8SknoiDyN84iDxCaOi9OxgJEO4F0yDUMA6UcwcYUUcaXCbyKuvd+Rex1IyT751v1jamxcCoBdxq2vlPr9ZVuMRH5xjoDeJPdSYfrON6HEIMlliyVD07R6aQCGit7bTkcWWneCYiJEpp6Pcnh8yWbPRZbxzg6u2xyrWOlRfmF0b5PRHcOnkwhkTRlx3zzw0rVC4VgRaanzLoGR8o0KmedI2zBCQhpTI2bWxnxxjxH4+1njZ290o3o6CX42MAFpUcply2T2qfIO6dtIiquCv6ZNKEDWBb15R4rNEVfo2V0TWKq1yAEc5JotKsB+bf2ZGqFMZ213WqAigiax4Pm65eSSQdHSLnGzJATeEIDZ0cNSms8WgJfRHCqY0HM1AfBPi9T59bh2TFlxI4me2nGG4ElTyjpq1fnp6KkywcDMOr9OhGqtBvPDGpDzhf+nqQn9v19AAXaa6+eabMSvS53bpglNHB2ZXclkLe1ThSVIgscQD3tDBqlFAYl0cmTzhOXy814NXLrGkBB68t68lWpsk3N5rW9M+2MexdYmc56EVtWWiXunajjzynzuFxuAaCzGs3pww4jlDlUWTVbgkNXK8yUGRZq/AQIpqCFDirndivtzMVKah1I0Q4CRjdW310KHDzQmR8ErwlVNiY3om11CAtZWF1jalYiigTIffC+cv7N23V0McmszrymJQk48Uqzxj/q+ncYdDX8wndthKRKUS2ltJ3hub0GPkrBdaDLplnRDned1oaho1i9ndOX16eRQtiou2zAduNkP7YSLNF/HrzfW/mj5Fnd3w7iSQ7HeRScwKseSKfKKEZ3OKvlnZBBqdTCvz2Sd1Stqo3YjIX+VyNsupiTQu75M0jHLSCeKf7ds5y81BxNiCALhmo7GAI+DpDdUOANkq7UwKiGXSjNxawVRbTOgdkW07C6M6KTImiC6FsII6ZixYG+HBBx/Esi9YGRTXkrA0MZZNwNpVmMacOHEC0y+8yIz1qkpeJ4SScIsQn8ReXA6P3+Mi09LyGm7tYUVyrNaV2IM5E65I/cVf/AVWCPzQhz4ktYAxqfrHf/xHcGFOJkhctcJ8CxfAsNe1shJpGPfyw5fQoUipVLBJl0Eldy8dS7W/mJ7og09E8TSIa0gBC0nVsXYVaO2IkS6VQBDjmaPEBSvRwM1zGOYNg3TajufaSp/H2rASLyBx1bYCmmp9bWLiHNYvGRgcSNpXiyIIFicYHmZJuqSJ7J1WaqREcSUMsTPn3OxsDxb/5tMMJ7PST6q0ElNMFI2lMsLGBNdOyY8BdMTEf+mYZD7C5NqLAsYllP0mbNS7KRbE5Wq8PE+Y1xsDNb7I2YkV4MAMHD3BoHICf3Uo5SZ7yS+/ZW3zNTv0N8ozNzpGHiFuMU2uI1EcQB/FhJvZsEGgCZlvj0RNpggBPgNEVlxylYIMeyhCQbNIZSTMxjofBIvaDjgEQOJvW0HCK3HW/aYayUdZZ5I/4tpisDY2Q/FJwJMiMUlPV0VSjKVtsISp1b/+67/ed999+OwEZlFYPgYrUOAKEb6UigXMMeHBIljA4KMRWPAdazfgdgo0gh4LOmARB/2OKpDhDgsWoR/bEx5n6evpHB2JFkvEVQwswYf7IGDDShLiA4pA6po3uOsH3agFUlbFAAxGWIANMcG9QmGUPTByINTDoRYBWKQUiR5o3QDqnzYFAIxvfqN+E2OoLYWYyVJiEU40nlNFVAXUPgJalqKMkbjtKEiM6+7MPrZArQQgmwUwhFITUVP6PyLysEMGjDSwbWKuAwNW78Q5xNiBscFdWHMybBLfUGYIyASDIin2reraVoRTRe5mfSuEYTJON/bs2dt8U+cq3QCSnWQ/EfU2JF6hzxnhaZNCvTY4tSbZYzEi2SGpls7C3R+3HH/LiF5XwR9tIMV/IqQplN1ICCqZBlVSbGFPr5DzhgZlYS3IKGQh1+zmXPHpniR8oZhtruDwk83UlNjQLBpvngwFfxQST73hURzSmNgAEUwazJ+XsSm/4odo9YNEcA4q2WG3FwusbTsUlohKnHXP1pO/0o7UlOyctKn4BowWAxnXSdGRZX5Yo8OKdm5HwtiqDF8TCBGo0lR+IkLtT/AVipgzffrTn8ZUCXdL8HyUrMyHa1pYPQvrjmImgxX1cOUI15hwQw+zMRGJdZJxjQkzMKshXMFaXlm7PEWTJ9kWl9euTIcikBAqHwcErKv54Zj313/915hCCReewfqN3/gN3LkEUtYeBCWeav/7v/97uWOYLHtKp4rxJl3WdFyqToqBI+UONQw1qE6oi4rNSkG2ovWLpO0UvDVQBg9g0K3IPikThMgzrsZXBtydc6bwNP43uCwYL58j4QskkrZsg2YxQsfkHfNzc1enrh46XHJbMFUhjI33wofe2GqT4QLyGH//TnW1aooK2CigwZT21GJWLh0sdaMIuAxwOImJoZFWtkQinPaJ29l4ZjDEkUGqORZw2cUqyGLfXolOy9IsXO9w39lATOQSVrMSmqLP+h61xeaMIUaFRM60PrVfVETLMH2wNEDB1bjds63pcsXk0Oa4FizaHEjiJXvSIKGSO3JcQhVwHKJGFtgwN6LdSD3FXu6IOntt0Rnhe7RrFZchaEdxVToa753v2SbeiImbx5uxU1qnSuyxFjxmS7jndtNNN+HDEphmwUxEBhjMbfSFP4QOK5eiKDHEE1pYihmUwKhbYYK1Nv362Mjduwe7J2eWDu0bnJ5bmpqjh7zwVLvc+7DrtMrDvJi+YVonEylIxLL0+PYhpGO+JRe6gMSFNTw4hsta2GOyBSshE+elrsXVkCYA19BNcGRI2yAiI9MgpCkNYktA1erGNK8UfSWL4a4XJZubQxFXFB7f1RwS38Kld0FjGqcq4vPqm/vNEYHFtfHQ1fj4oeYkNUXNXUTCkWNBsSicdQwODOor/cWE7a/xbUoDCVkuhzApAKdHNHeYTA2QQUH2pi6vYTNDVR6RkVEENhXZIiHuGOZkueMBE5NVG1CxiitYwr5BQcWWl9ckbWFdCwduWGh6rc0BCDc15EpUZNcSFUlPzxTbcaLo2kQi6wKgucllmMkZFpEkoSqrS0i3qOgtks4hJdlLwwGW+Pve4xlgnwGrWavtTEKdWC9fJKg6V4RWuhCL5R6dBv61jRF1Fk+VaXHnHtXHCWnFugZ0qKZ+bI42xdg8sfionhoBgsOX7vrtvTgQ4IFy7DGvUmLcowOs/UiKWisAv0ju9NQ++clPyZPzCB9Wf4k6JcWUD6axAFCqAq2pjsS0TNj3j47edvs7VUKzQF6kmpWxKfS5ochqonGFsb7LUEGy3mKEEfgEmW0CodzsPexA3828V7hZrXHlymXk9/CwuyW9WWpM1LRdDC4fxKkCXtrAN6PyqwuwOj6intpUhxgZy+zBh7zFf6UgidG4SIi8rSRMVn0e6zWN00kmeVEShIyTOG042jX5+gq9BIrPWWK9veL+1YzcSJFpazIvvJlPpbiZs8UsPTvYsjGRZTuhgGHTmuEc89MTW3W6tQQXAAAgAElEQVSNwuKg+GVdtW1N7po0KU7CHReDpPlgHxmPNt3xLfjE44/JHTm4sIwvJsfjbU6g0XjSZtKWMQXG5+4evDjIdfhW8u3vfCeWFIppNq3kB3cox+QarxyKpjw7N82GVgVLVMFNDaAFCnU69RENSTtlu4p6nT1kZjGQmYts1RvLp4ZYZCFMD8vg4wU09Q7z+iLq5kRnpJw9e2b37mFcJc3UbCJCbEbz2YBz5lKray2CMDFxdvzgQa6CPf6XTPNUxkwebtJWJBVJjHLGo4TCCG0BTISRTy1IaRdLm3VHweMDtrQK48t09dRWFikQRMMsDk79JJlSH0+PQG46PElJEkIsi+zjI5BRIFyKSIrAZ8eQ5KiWJVBpOx/INT7jIIc1DuN2uCaHAGoisZAgnk6IMexLsF1csw6mjSvXLCi7coaE7XCwaZ3Wu8DMLeVCZM4oOFxpDALX1kJ33HkXnqaiuWAzW0zNJW49Gh7Es3X6DGvXnr179QkqL791z8s5Eej8ZvCK2/irzobAcer6SFhVsJrRBpe1U13L9oDkIEmdL0tkhLcbVNPaJriBRHSb9Q6sPJu5jtU2A5AqmL7s3btPHt1rWa4c9bSB3JhH7lHXN8dE0gAyiwEsGOx5oAhRAWby6uTwyIi53R5qvbUZTAbhKbfrF36wahlcCN5xJrYemqTNXNtDnjxPaAaGWsdIfXZqddCRcDQCueSKRIZliknpEOFjqQZnQplBKGmrQGqDP947C/FjDG5VyXbyZR2kdrBtIylLoW0tvO54qCKhMcAcwFAMwQyNbS0M9RQzW0Plks2Rxvygh2qqQkLqvkTKTq3SQChgLdXwAklt21TgrKBWYYzheIQp4vY2oZn9EYSs06NDriORBC7gQSncUIRTOamZg8oKqIyRRCkxSw9mFGDd1IgIKQmnRASEfBe0L5OAOGtZpMoVahag4AYB6gtZ+Q2FtsCSL7NtgvLFOyz6PVpqk9ZuwOcF8R4HVrqSO9yU1pIA1Kzkny+TMVkMIdk8rovikTSNTxOSI1shhvq9J8JX3ufnl5eX9F3aUNEeyGhqj8BGUkLGxn424tvaet/sFB4aBHxScNNIQQyi1rdlygdkrFxxlZsWNCIF62v99eVzqz3yyg2IUZWkSqDd2VBiNkXBhoLy2/i9s30R66KGFFTiJCFB5RNCaHxScLKwyxqHkO0gddGwIi1MFBG9l74lv061GGDMkOPplpiw6UqS8EbZyU0KAumtaOOEuKJxkhnCm4UhJBVryra/WLii6i74Iy5dmpw9NYVFRCMHc6UMdS+cOLgLysKRj+lgFVkPAbZPIC0YKY4RIZmZahFMTo0QJuQm1XIt3D6kOJ+Y25w5G2JuTtWGqOkAVTrHcunB/qBl/eHRKZUWt0jJajxmiLc2sL4IvqckpNmsEF5rfRaTSTFL3jxsWgVfUMebuocORwuONC9xZ3F4//yvHq+y0d+Y4WhxiAyjAaSJzmjQiMYQGliyw4YZBMmiYDjblxkitF6AhLveseZMEkalZmHX7o78iENBYdapBtfuQF/d0EG2s3ViMDujxsctmHVUGo0HGPW3iEpod9jedojEtNj3pFKK3GNya64hpPdTfjkVyPpo9Mi445lChcUUwYG6rVAXElDMffbCruVd76gi/MLqwp4rT+3ZM2LHXtxuxKtenfVOCOzBp5p5g2RN6cUlfKywCw/U92Bx+gqbLFTf1dmJR8YqkLedRFuzRckb5W9Rbets0iN1aJMjFh0L0/kyyq7v06ESL1nIvUJAcae26QGzmDY1L0FiRQ98EKrZx8ZTofnlNjXI+vq5ibOlC0bkq2+IbZN9DfVUJdCRyDW3tDkd8LIzpPiKEWj0kMbaRJRkh7S4Cg/WJP7HxbgUmNoF4UxBTZIuQPskg9ulbFvlUCTTKZfrztKtNQ4bN1MiyQppiuyygqOaFKmShgi32cCnBsfGe478XytHKYJqRbXRZ5W5YUCj0ZKklJuO8iZ0aXVLOhImCmxLm8xAXCO4yTQZ6PCZQ0fj5uLMA5lIgKjGLC1Z3pAJV7CgmpxZwVLGvL17z0tH+i/+8PLN9+59Hvv37n3hx1duAvKxyRtPzeFTEvhKcx8+VBh6A3PhvZujB4+88eabRw4fxmESn/WB2N27h/g1q/GJc+dvv+1WLMM9ODCA5R5mZmdx4xN3KHGTBQ/w7xocxKuFb54+fd2xY5cvX4E5wPf19p6dONvb0zs7N4dpFj43PTDQPzU9k/tipFhesN9QLjXLbIeJAns2Ba1jmR4VCGM2NLTFhKFHqKhMW8B7Xl/jy0ITSqQmzLEMvlkQF67W19bx2HjM2GwLxNxtKqkRE1j1auwAlsH0YWuTgq0SgxxAg+q4A7Xop7ZIhsBbkzsyPqxL+vhhWpDBajN2swQNmCEJ4NZCObYEA3p7Vt//vpN7B2aXnuw9fXY3KuBaWJ8v9CtiSb0OYq5hKHRwCZS4jATIiRs1sw4jlEjkt+sKWkd8zEuSvRBG+oLUxzkT6jY5lokl6oH6Jfqd6U2ZZXrNJjvRtPii1E1MbsrdxAjhJYE6SRIAGLS1h9USUAqLYkigyYoIT3WVN595IiHxkS2BZkbz6FekCJOiF1duvLC2r6+2eHPnyyN1WhCrqc2vg2XiemJw4l/P3ru42vPPZ+6DLNmfmt//0QOPyQSrSAGGaTwvj2dTME96/oXn73jnO3EVCjjEDPMnTJX27d2Dx/WPHTuKF+8vXb7y7DPPggbLaI0fHD9z5uy77r4LEkb37wPXqydfO3zoEF6DxzPOWLwUALhwkezxJ57yjVJkRT7e+JdPsC3YkIuiXoYoYwryJKfbU67KxaMQDJ9RgdkNEAFhRjuD1BHQ4pqCYQrsyHseq4moY7ErHNb27HPLMTRlgCVuQqVlqwZfunwZ67rJsnCqCA2UDXU1eU1TyZBEKWHHDDN4kcS0SCiMJmKk25tRjDnUGxJAWw6CWQXvLSBUhlIEXCv7Y0cnx0ZnsHbf7bdelAlWZHnioXecI3St+e6Np8OJg6nxKBd8FZWo6N3mxvVHRgoMZ2BwnOt5R5WUNqYgqGth79xIbSfHbUcLcSlwKhVQQLaT0Dkms8viN2r17AuZEQXDeEEJxQ8HUQKAiHKINwVQsrBUCs3m7701XpOzxKF1duW8I/up3dc66g8v33d2lS4qYTu5cuTnex/ZV78kxSp7iOkiWU6RY3nsyjuWVulq1siu7qszyxrTN+bGSoSuLC/39/XectNNL7744kB///59+/ERH6y4hUtZAwODuF41gTsrE+egamxsDJepoLTe1Xn16uTePXuGd9N6DWC85eZbzk5MYFKFj0lfvnRp99ButC6+PffMs89CFAYBPP7c2UXPjW3vFoYj2CGtZQYhqpUmMlZK4qHdwhAkUJp2qXOB3kpLuUxdm8HUnlzx8ApO46pOa+8VYnZVr9d0satcFduOpIuyvHBuYkluAyU0SVHHLKQJ/nHCUAApazKbJ6Aml3piSpbISPIhKZLMPNEZXVURbHYgljGirRqC8E2Gpqd7O2s4CVyfmSl/FIHdixy3zSgB3pIQBLXUqDo+U5u7TKKQyWEDtJwLGeMjR8h4+ue3JH2SIlEZG1AKKryEt8ZvxnEKUew6OUrYDClV7MhN7YfZIXksDF/4cCYppPMPeINr3fCUkyraU5WmjwI70v0So5zh8lPrOLc6jtnV8tTE3Kkn1lYW99z5yadXbv1gz7eDBAoGqAsGbqKr+StYganj9uHXMJdaXa996M79swur//7YeWmGw30XX5wufLAXT1a98NLLuNSE5VBfeuUkbuRBM1YuxbWr6ZlZFE+fmejr64NBTz3zk8463WEZGtr98isncTUeb7xPT8+i9ulnnsVzWjALF6vAiEtZuFqAS12AX37lVVwe4zVSja3NgOSFmQa58UR8YzmwLUuDcUdGrWgAAnPeEU4yzxvl2ssXRWGK1NrNBDZRaRDN3bKFtRtwZ3Dnz66QkLNzswcOjKOZKB8kbch5/OcCdhwLTRhpUC26/BGaMBoRla0SrmTvCBLszimyUzCHhl/8+GIFA5sgrSCtFZKJ80OPfudYT9/qi6dxqqr2KFAi0x565LhLmUCc/n8JM6rkUCe0OjLJkB0XiZJThq2K1AaLSVcmUWLacnOaqc3IFV9URLBWUW8VIOM6OZa4D0wuWbtjQIOOqkZy8EhESiJYpkRsE+84i4gqSp6ATYiY0u2kXTN7+O8nXgLKPhJpxVwT8Ow6rb/YPXQAcd19438DDEzUrM6/0ATi1wxmM3OzBK/jClZm+97F29bWafqAw96vffAw2gxzLBQvLLl1QZkDsqPwoZl5ySKKPR60EqlyM0VgXNZKABQHmHJ1dV0A2QOPGZXuuzDlWu8QUdACDzWlRGA+hupcvsmwQ+ZyZgiX24sT3pVcmsyoFQnYwoK3sq0q2yiUDgL4YFMz62Px7CosOdtWzwqFufzxje2nS0SPtk6KQK2trp07N3GYvlMu5yxJRnAITRzlo0OqPqFW/E4CjPUbMMt0L44iR3gD8raIdf5Cx6srYyt6zqSHqWr6JZ2cr8zL06MA0cFWQmPmTZDtkKzFhC6poWpLyeQ7bpexEFGJ4pgh2HEubMSgfO+SEFRrR2Xi0dQZFcN89UhqMLiY1LHdOIINzUbcLORl+WKJqHIKeeJFXOyVt8KaVihy2yuG61dh6MLl15cmzyxefm1gYM9I/WquVbYJQDA3Py9fx0Hj0OUi/guMHxh9+l/PvG9lnT5YePby4tHR/vG9fROXF3Z1zStRwoPo4SUcrRVAE4WKUml7HNHbYxlT0TWkQLSytIxn27E5dpGbl6aRh6wr7DzXTvqVcLTNojaL24BdTc2xWptdUV55h5HBNmG4COtDCqUEnKVRtlBuenHseFKEOtzdxmuDCVdZkCJ5ZYTV6tosrprSDVJpFH37ZMYHq2B7PcSnu2h2FU0IvNmwEpZrFSeBG9l8Qvhfdog9Ce6w1yQrSEjzzcbhLQRHUYFfLqCha+aN4xvw3wregJi2sppsoZSQSwM0fHGC+JQAlRgvIbOBs50mhkOKtdXidgtTo61XVglHAx2qqN7SbjE8Wr94Y9cbL+07Pnrf/wLVA7WFu7qfrWgDniceGxs9f+58WAdLOb914Q6ZXb12bu7BH5+fnl+RqqU195ohijRgcH4AwFCKDUW86oengPGU+uzsfE9PF4JGyHq9u6d7dnaOLkHVsHj8Eu70dXV107SJhxrQTE1PDe3atby8gmtgOjBDC24aDu4axANbWBICZJcuXe7ti5Z4wINf+Ow0HpPHe4vSQljTAW94qS9bAoRcZygUm9XeOmezmjaTvuEcS4Zafu6qvnt42I28bBJaPypy/0TTi72UG/inndazWG+yTUA8rW5Q/eabb2LZCPu9z1JhWV1u8Czl2qLKrHGbrziEn1uWTNhUMzRb+DBmsglpo4mkeQVTQLK+zGYFuzjPTGySlIuLhi4fTKQFC9s8x8jXvkOwLg9CjOUgElmXdO2orlHBCG5EurH60HxQqdM6A8vRUJQAxqYKCdaiByADR0qi8flJGF+rvG9NgN2MnSXvKRQ8qUAVAh4TbG4kuqZmu6emMXFZHN13b8+PjnSeeW75xqOdZ090vdFbW6io+8DYGGY1IMazUHAFLnADM/cHx57qqq0CfOylSZ1dodhXX+J62lGacGgwmxEAT18dOnQQ9wFvvPFGEFx37DpMepAyR48d7e3pwbzqwIHR3t4evAx47OhR3EQaHx+bnp7at28PpmUf/fD9uDmIJ64OHRoH8vChg1jfAQLdSFzrwFcLoQZPuB8cP4APDe8ZGcY0DitSDg0NYd4GRiz0ALH4w+xNjWwVQH9o6s/r4ZyQQlP8SuwF7ehflzCcNjA0t7iG22oIIl4gRU+RBJOhiF1FwkxemcQMG5+aQRJRJvnNJZYWORK+5IboTYiOtkAK4BRk/MB4N63rllYVYLLWCSOHKlNZUWi7yDL6txQhxxb4go1HnDDmZO2QQUnGJYVlnLJFJ4oqnDTNFg5aKFHRb6KOSoyr1+LH28XErE1twngr6Df4Eg/CbVK1o8XEXZ+jwe3odn6E2WwfvDoaofJgyitpJrEkNF9IqGgYA5nSVDHeZqYwumMqH5k5DKSf/goGHU71qiNUU8RV7G83DXc/nl0gGuQy750W383brdTJ6z1/aW1udmrv7pmhgd43TncuLx3pPH2gdu6W7herz65g9MWLF3HpB0J5HSw6rAWD/+3sez9y4LGTswevGzh3en7/aO/VqZWB3d1zdw2/8t1Lt3fjfh0RUyoGz2sdWGUU/3p7+6ampkXa0NAuTJuwDtbU9PT4+IGLFy9hwQV8qR61t99+29XJyePXHVtbWwfBqydPYsa3d8/I97//g7vuuhNzppHhYVyvEpvwgDymUItLSzfecMMLL7543XXH8Bw9PqVycHwcc6yjR4/Mzs7Qd6PdABsc8ZDxzaOa+q3ID/0VKZvS3l5idFMNFJoPjUjyg92AQhw9gUNSlsg/Y1OUOiTJyyKm3LUbOnBnELNqXLsyYloGRd06HkLHGloV17CtqOzChQtYjw0yvUsV+YrISAyiH0JURPgWwmu+US6R/y67JLVQi7ILr4+yxIf2FgPYF12WiSRQ2fFXQheEVgrlKhYBDMLBElRX4t8AkXUTajk8LkQwI+vZBlRdA6xZh90AFWzPkoQ6QCaAaFGOJCWDh4lWC+74FUm0ETdw1EyRwrigTRejWytFhnkRmYBsbppE3cLbsJW/aURNo+SaEU1LcimKkXQ4nF9YHKWJ0Xq9PnNg367zlxYO48Wmsqs20iJorAB0rOMZLExRkDY5D7kvrPZ8c+Ie6EjeGXz4/J1d9Y57T3Q8eaqjA1eX5MNd3lx6VKqzPjMzNdB/vTyPNTMzg6e9bjhxYt/evZgYYXqE+RCuMC2vLF84fwHzO1hw4sRx4JeXls/NnsNr8HffddeZM2fQSXDFK0wEOjqmpqawPClWIr3+xImrU1ePHjmyurKCRU1xS/HJJ5/CxcTVy1ewMCkkLy4sdu0KtzK9dYW/255AhZYVV/jI8EjBI4ocHtCcviqHWcaIZKTI68NRSDxBhMyRnofyazdE34Sm2VW9fHbVnC5kFD5cg6VoMS/HRVO+KpYjIQeVZ7Pizp0/h8uiuEmtmLYAFH8e+Ju1py3aNyJEUsvb7xKNhhUSykVyCf/dkCiZY/ON64PfnsAZpcOTKzf8CZIypCVVGdquDpzlRQ8eNMOdEbcxBB8+gn6JCYv0HXFj8q85bkowHuIYwPyJSogS4/hchUdBSTzQxAHkSLpwhqgiCLainTGJlLRTsMoSD7UogITIIm2/s3jfOyPcTi40G1Ebn5ArnBbipghM521cV19eXusK0xp61gW30bAh2zjtJM5QAUAUYWGimV2Pzfe8XFvv3jX/7v7FEyDHkp90IYm32v/5x38it9UefHJqvY/eQq+y3b33jbHR/Qnl8tISch8XnKB+aXGxlxdlAI1YE2zizgE8G8onFOwC3GEvWCoCgCdPl5dwsWpFnBQ0r2Xaxas8OE7GE6dsNsAOtUU/6mC5PndoYusJFsPz8gidxFd73/CbR1mucctrIxORjCjL+lhXrlzGkvzNXruKxMXO4NLmuXPnxsdxF697BUm9soqI9fe591Vj2iZKmLHRHcz2XGNrQm+LpDZAxenkhHPOudHB9xrONNS7TpQkHg3W2KwWJ2tzfhq60Fa1A7WlXfW586thhVuc7+Gx0bYqaVlYCDqGFyulreMcJAdFVstmwOIID/6abz7zaNQPYzm085GxzLYkLMxSRr8ZHu1AmdmwFAQzSqqd5cgmmEYiOTTUfeIOxfGp9Zx8c2ZsL9IOOVRfWh5YXF48sP/JhRvv6ns5NzhXhh66uPrDbiz0PruG23z7pz4tcyyxHbOgcAXr4jP/A1eJcqVkkXd94pezSP1oIMzr84sygIytxc7lvQJc5cRIpSdx/R3PwuNSW0xfw3uFxOj4/E/g9JjN+bUzHjoOxY1ExdSyYIc44g5XjCa4mB4kDaqD7E2CSo2rqBNNg3cd8I7C5CRmV+2dteDZc8yuMKd/4403IHlxcQEJ03/ocEXTcslwubT9s6viQFLKFNfmWggk552cwdO8SNJSssWXKHm4n7uBitIPIBE5fVHPIk3BDqUpMmAT8cEKcpNKBsMF51GpDcrDPheTDtUXZtaw4I3SC2lSLObfqhrbWNBpR56kqnmLNuQsLCF+f6mJQEpJt0UwJXp4sMSaTRL81lR3sEJEgI2MYLI0XtVb9rfAZcRGW8b5XkC5AyJjc6KCOeIa3Mn6qNzkrDqcyTMwro3SbcHlgb7a8mrP2trC0UPM68foOHhr9aXZvqdXJtdff2YRwm66t3Om/4n+xevB4m2PbxFay3Af55Zbbx0bHDz59DNnFhfw7p9aaQAvx6CqgFXZMiGoIrycxh1+OMrWXzrK2eQTE83gLIccd+DxDmhjuRHF48tt2I7aDVm2IWYeU3HzDt9RGubn/troPm4r4/rr3r17V1ZxoXNlZGSPrKDWsgrMriBq7x6cxLQsowlGmSdRf9RpEXMjzWTOhJKkXChSosqczJtIFB729GIEY0OVoWrCyAqkRgVRyziUICuIyZCEAUD6phPZlGRLbPqz19VfWzi/3pbHAb3ELfkNIw/CbQYujph1uUlrWJYIUbHQZeAwTIoNaokCUGktsHBc06Rt1citGcKhxgfDQmJVE/oWocrGhhyz8RFH8+m2KQhiHrIont5QjikGBqvNCjRrLxhXhgY7Bvu75hbWursWet27L5T9fE8QgzBoAK91LSx3XVzsPrteW9m1p3NtZf26O+lhEhST1A9XsKw1+7t77r3uuvkDB5575pn6+tpnf+EXLq2vP/DAA4YG3kUdJyoYuvaC7jDERxQHiwJRr/EGEhhT1KDbg5EinSvZXlfZKwl9e50tllbZrIyI1jkzoqojcCPv8uSVIwcPITdb+5ZOkS48yTc3N4vvheOxvPMXLmCVEDyWPjqKJblb2aZldrV3b9PMnIsutXxeyqSHSn4DRouSe+FwaPOS6YXdsyJDTdMZUAkqAxtirqZlE1SYvimDXTVLEqocw2odnaGFEvIdX3T++OCgSL74abuaL8mGuAFDLEyHgsBh7go5YUy0YAKr4GsDMD45gyUUUuAg0O6ndsvGB6GwIZLI5JK1HjRWwJlYKEM0qt5sI2UxhbLyKtbrK3MDP5lfvdzXOTy4cFtthZ/FrNdXdrmV0j3T+lr3/Er3hZXuK2s1rKVQq6/0dy3vH5q9a7HrjcXuk2PHu3v7yZb+xRs9i/vFBAsVkZ04Pt1/8y1f/c63V19+6R3veMdL58//3QMP/ML99988PPLC1UnhS3kSqQVFd+jxx5KoCSHRjnOZohxgPCspsLBTaP1ozcQCyzcZbe2uqqoVnqqy20mH5TYuXbp4+BB9EgC9tvE673AsyYRSc7q6u/F5SrwWizceFhcW8GR6KXlhJT5DjvcQ6d1ad+QJQwwyLZoYuTwmUa7zEwXlI6M4MxkkAod15aToqZjQFOgYSdKulUa2ppfBuf74eJcx2jodcGkA4SjlirUsJfB6x2qWPYspkZBUSfJuREIiUIsk2c2GaEoF90UXBYEh2nnF+EWgHAkTCsZJM4nop2eqZ6cD4rV3NBotKpquKRToOVIqE7ELVT+VUE6IOOVsMFyMklj5FJXcQ6VP08BKHF7BdgV6vb56uvP/ffOx2TU8hVRfP3jL88e7Pl1byXmr6Z6Z57prT13Zc33/zME6rQYaTN439YuXh765/8jrtfWuwfm7ds3fLU7Cd/JvfT1nodFf+ZVf+Zd/+ZdVjgoecHnppZdA/c3//M/79+1/IYSIuncoQaMpET7GQJkconxUmSRpmGA2C06KIpNrroVd1voyq5ujLpO0M+q8P5iynDlzmj4ywxgkHfKG5ljhXY08gz17Xl2Kw8uDSMX9fNVq//79Z8+e7ezs6vFXd0GtiYpjis6TgLfFKcyu8HXzEX7S2WuPctV0KuIMRaVODatWhlovwTK4rlFQaymrwaoj6abCrbVSFJoEWaRn4yZWVJQ1QBuIDJYRLUvUCIMrWI1Imqtvyh3THD43uY8ElRDn24MzFvniksP/Mq3VauCIxvQF8CRVQeOOh4x/ZGtSbNH8OBySURAFwMmPCVrQYtq6Be4dwYIY6HAqwSGzgOLJgEZIIhaK7WmhNkdgYddzb/6IZlfkwVrt7POLe3/myeGVe7NqFsf6D796dGC25/x+umlorxF0rg2OXv30Wn2R1nVYD8vpOd/xzh8HR04EneSJhx+5yCsAoerpp5/G95XxsjqeodnzvnvHHn0Uy1YJnYbPsWWDGGPMMclxFDLG9TumFPsTm8V1gSBAMdm1V9qYJ1jsYDxeBp3mWEjGNT/HCgNYg9hIHwaRJJI/HLkinnOnpbDW13FKgJU+Do4frHe6Bf1toiZJKJ/svrKd7wxSfItjTDXuzKSEqkHkoupiXYFMaCq2TBWBQfTmQGSDm3W4+bRt9BKd+D5O7rOlJSwVq+hoKqegdsLEya8TJm756MqnE+598cWgs6JfgSGGLHuwEDS2Imb56SxpRml6I1w6BFFMmo+Yitq8kFKbclblqpDa3CogxTsxEpRqLcFUcIhcvzNICEu1ZWiKDNki/Nz8pMyuRB/mWPOLU0UPY568/vBNr5zZO7Nw82vn90zOzvf1PH77sRePyrMotfpaznUvEdsFtxPPl6ana/U67pXghSy8A79r1y6c2dPbfFiIHZ+7qbhp+1Sk3x6yJqwsIeUULKnfHt8aaN18ezEX3z20O3nqXHoe5j6YY62a4w2fnbs+SdMgMY8i6/xIstRTULXA2ONSL4oHDx46ferNI0ePJSy5Abl48QKyevfuop6Vw+QtoiqxOOZj8MgAACAASURBVGOsq7KUOYKqobynNNNSuBrrhqjaYvyGLGiJWRvdNk2RpJ76yjKuYCWuoigYmtu6mDNIYiBfDx4EuxQQPOpJLfAkQOdJCgBplTER4UyeU7F8s45ZRoFtbamcyEI6voKavZEK2jezVdQrRuYKrigBvEKZKyQXCV+aZcnIScJFVsRzCGnzDN+WInIbzdmJJIwNJsskT9lGa7+VY+HKzpCwnJB7A1CVjWdl4e0h7O/bXe9cX/MPCMDg/p4hLDmcu8Hgswf3/frXf7i0tNxTq6/OzH34O7OrH6i/cnhfLr0i3Vm+lgFc/4n/jsdZTp48ia+wvfe978WaQK+++ipe17ryve/j2oCjRHjK/6zErYbLLQu1AWrkDSjLNp83ZTRtr1PrIVnh6sDG7KF5Em8kBsOy36hXcRFpgwufA4MDgqE9b+h52PBtcFzK6uSXMhhR54MSVqilP+72HHLq/+V/Tqz9obUbDh68cP6cReZKOTcx0dPdM7x7OKkVRkWiqDAAuwleMFolvmrR0m8E3srZVet2SkSye5UoVSgqjcIKaFU5IDJBo5uhR+649JGUpMMLX6pnGkrSDiwwuoT3hXzyUj1g2csvW0k7ylJOT4JdnlKDcPbSDiawRgerRTmAGql1xF15E3YiJ/WejYxhnCCFyNRSddkfO4Ivn4lvHB0fF+68ZbzOEhdupRTTtMhAoPGGq1UcPmOkEqgcjxHK6nuoCFZwfKgoQGt7YqdYhT9MtSlO/o/TB/YGvQWwOgdKByvkMXm/rnFEoxQUZkCZuGXhLZmcbmyUUrYXyHHdq0eS0Sb6KFTmj5E5vKXxa8Hygdnbjtw+WONXXPAM1vjNPUNLd5XIufnkROfK2sXlxb+9+Mb3Zi7hNOvO50+V0EtVzluE//Wtb338/e//fx58EBRYjV3obr3+enw/TpYkbSh00whci5TLr0RULmJbalu2u2VG9ENkNm+U7Xxk0SLXJLU0XPB/6qtCSXsavkyxo2N2ZhZPX+3evVvqAqWBcGUAGvl+ds4snwkjmazH8OeByoBp0+CuoQsXzo+OjllG+KM0uH2JTzmxkakspZGKpJhSZ8rN0mcEtA+RNcU1KQdCYKGxMPTbSDVljjBm2RNLbFFhBSpqFHrW5TJZ7kCT9dgoRwUimK88Sb6jghO4tqu+cH51D83p/QYWIiUMWBXPOhyNhT1b1d+WecGIzTgcNApSa0MFQ1orEorIUi7u356Xj99KwaHTkgJZ1zy7kkSA1IpVNPSQc7RXLgUsWy7SqrZwCaOVU8Ri2RPYsktVEhUmoLhFjAkR1UWScAIQro8yp9pGAGIDgcQBMATKBi2GWUQbdrEXTQoU5shPlSC+aJEBipmJGzkuUcoVkYuMBRaU1rqO1j655z3Pzs6fH+jbu2vhnXg3MCG1fmPRUdSO9/S9sTR73xBduOpdXIJ2S5Owo9hFplOzBbIXX3xx/fTpDx469MLa2nM/+Ulfvf7Bn/vA8Vtv+dKXvpTlbwemUogqEbXDmnbK2CqjufVcCyIZebgiPyQxQ5E6KP0jPNsW91KP5RBw/9UDjJdVITr4INL83PzoGM1ski2NB9uDNUjbs3ZDLB2vE66trl69OjkyHBbpVpLzF84PDg7uGtyVWLgjimolrEGr2mJsH9o9DLPS/kJs4ZglkmYlWxgsSTERUlIUxog9KpSw+iryWUckMIs3vtb9Uu64gw0w0fHGJTfHzujG5EtLLHIdT6WuLodZlEhWGgVIvtNKPxY26EpgwkueVuKLyCqyJMIrcuWZYwKHam0awKYmKz8xIE+y88u3WFZGxFRUbfEWjpiLCy2wFAuzNSY6EjRcoZC8VSpD4oJpMSY9nJEhhVXEFgAbilCzzOxiYGKI+quZo3iXfd74cpO/tdXeoel3D4HLXUdK+YMVHR3n9u2+reP0iwsz//Po8ZcXZm7o23VhPx4sKWsQmEdXsND2caN2vDQ7e7Gz86O/8As9S8svPvTQs08+8c1HHk6VNy5b8/KpG1Pk820ftsjiInxTlvLsBxzUHB7OL/phThouk5KRNVEWEkNU25SBCXFW0Nr6+mUsynD4SEJZVKQrDkg/TsEimpbxuDqF58DwfgauVKkQqDp9+hSubOE+uCJbBOA/9fzMJnGRqmyMMuRliFJ2bnfijmZaKJdyeXWWqPxYqE4qS0KfFL2G8CvHl1DmwKk0wiMxhYiwyFH1rdgbQ2IlKxzJj8VwFVKPRTi9oli5twJILGyvys0SbpuGDh7G6qiqWhYa7msSjAMQuWBTWiLj94HMsgPmfNyshgtarzmI+2Y2LjZ66lOchIpuHrCZ3dHx0rGxG05duP0NknO0Z2BqeODRO443FEoTLDEoeRj5ytTUP/3TP+Xygx5vwnNV1mXHUViRK3HbkRsxl06jY347N7LXk9B7bJUd3EUGCfKiLIz4JEVqNFA2PLBVjGzbnp4+N3H2wIGqX7QU42h2X2V9rEau4Ds8OEHEA1iWcGxsbGLibFcXPgVN0yksyoX3Ng7wtwstWT5soyudzTdOoM9itK6kSmk2CjgdkkosrLpW657Y0YSTmaFNeIM/lOyMI4MkW0MloaISFzils+hNxPBrpEYtTVQ3Ud1bULQJHnln0kLa/Zp12XjCPsAdTfGQ25TYZRlTXgvBKQGpVT2kOCVgY97eSQRyg5O2HJPmUjYIY61jbb325kz/3OJaZ2ft8NDKA++//cTxS/smZ2f6e145NrrYnfOEVSSzhluEfnv/z33gmWeexpflPSL6tUmE4xMWHApTgYhwpxasA5Vt1KaCszbv06KefEtniydDUaDiKhiS1/DVbc2hzEE19rclpoxYrNW5a9cQVkzI1DRAyHUsu75IAwapjq3GRypXlpd1dQaVgHSlhRsOHsTHoM+dmzhy9GhezJXcAFa+hQ1JIzDLhv6lSOlrUrRwI6n59VaswvmkjDU0ft7PRw5YYo0kWiLVCRMleaUQ2kOPUUYCUwWEK9xsaBRWIJetSL7iBVhLVhkNFrvuXu5nIi2xBLXYEscTmvYWrUa1rTUVIkrsb0KUiRdJ4Cm2iNKaJCBWUa6pSpBb2yxShnSxwRnmZ05AelMhVe0NGqzlIVNCfTugjFo9Bqn0DInWvA1QBHLjkw1jEaUN4guX++tzZ7o7VoF8cXbfzePdrxzZjz9LUw7jWIi0ocw5dPhI9Ts75UI3t9ameTVNFFzuOunEyEybpFW0GaRomyqaJ1HInB3CYikLjGrebi+odU4vYQt+sQzV/Pzc+PjBpnWxezzH4mfey9cgRTsWhIOP+znK0TSYXb3+2msDg4NHjx3LoYhQkC7DLLAFmiJ6LbjBmcsWVgIBrMwiOGFptkhTIcl4TnhiJ034r55ZkQicecybjxzWsECaHFQgLJ8ucBRCwigSGsqxWhS2ErJqlCypUjyA7trqGq8NmDWAejeToopmCQQn3pNgK43K8aa1QJMcQ8+lpndZOxMRVqOFQdasAZbdwonGkiJxmWTSodVZ4sNphUsV8Rm5Fga6yBEnX08DjIQAYiwwJqnkLCAs0CVVCqioxAwpam0bATHYCtRIKjJLo1VvAxKB3BBlIwlipZxd6V6auzLIsyvgh9YvnZk5euNIwUIOBYEOK7njhcGTJ1/NVZnw4vLVoUOHE2R7iprpeeKcbXxLzs2YmIyPIiHDESCh1FFSQwZyN3B6+WnRd3tf3/AXFtu+BrjUBy+vCpGVZXV4GTvrF087HTp8qJr3+ZbTe4W8PlbZOu+lgTPZCzqJGUTWkNt9ff2MKOV3dlleQdmmcESZHyvZwhnCUoTlVAf0SgDSky8KkAihFMs05wkPIv4PGN0EZCHJrXSSQSHJ4Liiwq5lRpUtEjYiZyO8PbWl+XW6oZwKMWUC/ZhAzSHRtwOKOlMKGJGldKWVGxGyEd5SoxpUaoIlMTNdlSIs5iVGUsCxacZLUXAGBggBXoY2V0xRWlIjEyq1RwElSDBJUckUKFIhBM5TpWYgkak04qoWiZZDZDEajVjk26UoArlR0sxcXsU6WasSVUnQFlZRCHdz/v3Bb164cCHSX1Do7Oz81c981n1XpICmHK2n1xjb1B8cBiwMCTqLoiOE/yeSqWS2tOjHREOyQRDqEOpIqZcIpOIdoGVPE35tNwDWtV+oD5AVYuFAsZVQqQUXzp/fP7o/zVcbMAsXm80PeZp13ospTcwDEaeBGuoALNaA59kPHjo0Nzt7/vw5PJXlGUBQFH4VIrRJ0QvI/CYSi5zWPKejQXz8EIMiwaDhf2JEktpqWRp8FgE+COR+lPA5DcoeafzpKOyqLc6shbcf1GnOIi0FgGLFUUQ80Wi5AQ/Ub0McgQYJhngilvbBFEl2jR6inJ+5StEGoIGRbdAQjhC5wqoYoDTco4MY4OkxVjMg0hjiRxXAVJUXQ6kSQcTy9sYR0FgN4RW/rl19q/NAI5wrHT3DvXiMJYRKKUsiFyZYs7OzWbp77rnn8ccfxzLutgpPCuNVfNLK/0SNKkZRJ0ag4SHe2eT6Tjw2WSuToS0pNkhSa2ITsOZtQx6iTKglRxNkuaCEOCmW87aztn2K8Zoenn/KeSnPqrBwcANYyY1Q7edYHWXXsUiCxN4CQa5C58+dw51BfI0AGAArtHDD1PCwrtse9CpLDFR6/F+TXydM5BU7BwDdgZJcHJXBzvUEVpU39sU2iKwMrhqCPaQdmZHmbzURbyUq0+C99cXzqyNJSKgpQWPIgvc+42zradPbcSywCOQZI7wifWLkK1UJAHKtUgLUikyVHOmrUBBLVA44ckXlIr0ZMvgjRPYokOhGrQsXdBEUOeZC6rTQ0SJhp6KYmlPx1kdlw5FgqOiDJlUULTMz4HpPwQFLJDAuZydt4lomp55QtmWCdkMMpKUxNTsL7KytH9/X89qlA/XVubVa99DQ4KHBOdsJte9bu+04AAKaYOXSAX/DDTd88Ytf/PKXv5zzOiEfL2zXsHKTDpMU495kbWsXXDFbgrqmGZQ1s8KF1mwD0NCNKv2jSbuRPJNXrhw6jFvGtuNUNAXKcijdHKvB+ljKqEBk+urKytmJs2NjB/CBJ1SI68N+4YZBs3BDxMaF0CP4BDtLYH3lXkA2iB22IwjK5b8xM+0RotRLyFHXDpQqbf9My7gWLNVBFLUSfdQJMpc+cBpIGQ0uSBNkLk0Jva/q7OiSu9KRwPj0z9MaFwKKIG1uPn6RKeRc4mBSFAmKVEDwufuGNEJg97lyFJkbNNWSBWi6BB54xjMnARmjIqmWO4NgNN8sQT4cG+NCKjZAKyLrCTTaaYQTuZ6e0AJjj0394lK6s1xJnbBbZAuiskKswM2EydhoQpV30A/BLTRFnC53Pbc2QSZF0Vc9/GDfmlju6V0cPlRbWBnsqa921TG7ytmkR7h+AcN4A52EkyZYBOV5/Prrr//VX/3VQw89lCM1ba9cks1A5hlarKc56mI521lT4oNkmRKUZKg4IJRK34RXhTxnzpzGt/+QDiyskCyjqgElXfNZX8e6C6vxsgvKJr5mPRYCXFSbnLxy5PARyXKZMMnRdHR0FO8SdtbrOZfcxAfw2MFIVSY+GLwBE6Imim0RUkVf1NtLtGaDq9K1CgA2LSoBAJVsaxVpKa0ES2yFWPpEiBYTXmVRAsUwsLbuL8wbAhzMo9ZXFkOjOAvYiZVcLLBJZCkzcIlouIQtl4CrclzOJS7UyV2DLm1mxAnSKYBQShvnpKpQICM/B8EaCJ/hyiACN2tVDrGWJZA0825G4CBIvGHI8aYqwqQtcOY3GEcgZVcmdUoxDEAUkgBcUi/shUJiXlvKii8SwmZa1gBnhVDoUkE0lRUeT5+lCTKbgVJNBbwlZNmqLKZAalW0d9rSU7rhnav+Tl6xnSkQEzmaAMAm1JSklJS+qPgaFhoF0uGDaDzGfunSJdwZxNPBS0tLqNi7dy++LhcoNgWCHeKmGFQEk+6MyZti0CYKVRfVkzJ3CwxRXqlPigVMHt0cddw0kAFza9PTU1jMM1l6yssPv6qpyEWLVza+jtWRu867pLhMmPyoQHz4SBzuX09O0jedeNpH5xPUDeSfiK51YKWu06dPHzp0qKHlaszmAghQEgKKbqnOZulzhUFIkSKLt7DIUdsUyJVviSEEWxG94hUQ3mSftcQRMFvgLaRz5Hzww5fkvEHBOE4nCMJfIyGJbaFopmicqTzeBuMCYWNIuMQ8UFshDFtEJE26CB1HHeRqU6fYNn3S34ojWI8ZkewWC1Z4RRFZayFE5GAPzzQyJFAPeJ6GtVBbZ1VX9yzmTaXFtdYtUVpcb2kL4ersgVKD5oFQlatHYghzhY7nhSDkKSgxSJDZHR/hKOyuozgxeSpi8jyK7cFR/sAvcTBjApx1bSi+ewIfBF+OfxNfwzNYSvaxj33s13/917/61a/ie8+4fNXf3/+bv/mb4+PjeO7qz//8z1t4kF4lM1De2lTrKfwvsVmYGhR/ghJ/ompWsz072GED3NBEa3cR3JwnVko5p4YQZBbOFkVOkAxIeuH01PRhujlImxUhsMUITRDhm0/wxI1/Ug02v5EEXuc9+pYOyOIJkyfvwFqjuKI2MrJHHrpSvB87HAI9BLOrU6dOHWu8aoPKqACoe1nPs9wJDXiBSZBJ0QpRXYJMipYSQrDlEigyq0irlDdLw4ILdpafSQLCCkrgRsqCkAK1Di10EI4tj4cufayvSH1Kg+mRrFVrGNPDKgsu3BnGMBi7yUA8VheKiCuMQJpVREOfp5RIuniCgXhEmRwlHJ0V5VmLfp2mZliKRLWIL1cdgkviERhzpAx1kfst2hHYmpDm2iLTq4OwzYE0aAqU6qErlZbAFxTtXeYAhz4jPBRn4fB8hFfXHZH8NLMnPaILcnkaVMQdGt1aQOzBVspknUh5MhgurnkHizSU4KECz6IgMlj9UaR56cQEOGeC9cwzz+BzhI8++ig9vFyvLy4uPvjggx/+8Icx37IZHGu1YuOauFREB0OLqmIBVLKUFs5SthOT1UTNFluTGCfqs4xNm9VQhOYiRFu4RFOQ6buIEocqRSUAKHCNc98++ualbBGPJIqmNChQLXYRbCtcAM2A6AS6H1TgXmFHRzTHikmkhES9ePHivv37+7EiQ6MNiY3FsSYmJnDmUEYbeVVGGNVZZ1GhQmyWK1I5LUZgi1GyZoEqQpSGLNRCrKkAHRNpybqqSAGsoHJYMsbSJKLKi2WMfTV8u5UezvObMxh9OmchtqKYeGbzW2RzSHAa+mnAj83jLgOU8McCHaXUKmPML6UYZ6S0AiYWtiJiC3k0LqzTHqrYj7ZGppJbqlGBSmxbTVTZujjAzkwbZ6BcqCvLLHSWJKgUBWLyRDe6juvEgczZLJmc5HOGOLDZTijKLYbpoBwfusWGG32AsbQCbubs2bPHf+RGhPG3CINchs6ePftHf/RHcqXqt37rt/7mb/4GXxf5h3/4h8y1q9TttJzILS1uhLdUcIXKVnVTAyVtVkFbTFKk2zZ+pm1jEVyyciwcSBVrRYfqUkgyGc5qSgPAsqK4cUwYiPY2Eg0KNGVjhaoV8iPYFkp189SK5liZ57Es29TU1fn5BSzEhfVOLZ5gUSUWAvb+d/d07x7efe78uQMHDqQsRWXPW1Qf8Ln+5SIDT0WooRRrpYUryBfZfPxvRF0uuaGRKh5ysOXS5yKVcUNAb211fr3biPC6Kvlu+FLTvRzXJ3jQB7k/p0C1OByuuPgzaTk4ydUzo8A9TyRyZe8kGKK3wSQC0chMg1SIWVSVsL1dbDICSTD5ABFCDWEJQRPiWVY5PXUHewiW7lHOo7UlxNmqGAPT8AW26elpeNfT04M5Fh5NuXLlCq5JHT5yBJMtVYIrWGCNuXFIW1sDxXXXXQfgjjvu+MEPfpDMrnJ4VOQOAWAiGjr1bLuMUzsq2qT0MNjCwX7BSi4rRRXpIJbhBgN7yGHGOukGRgLxhMllsfYWLC6FRdu1aG10U6tg6QYgcQwWkBm8zjsM8UiSy6ZiktTX23tg3M+ThCBRq0gFsHDDwAC+n4Mv/LiFG2z4LKyiDK/imgSKROTqS2RXoQGLVWFhK61UlGvtUppIi5UcwVAPKdiK7NCaImXKLkCpKFJUJIfq/AaaXbWZc6vukxeJbSgKplwU9Qu2iXdOtLAIJojlfqIHAsWH7iNdki5reRONI8CpilRyIK8EqRyhNtry2UFfQmOlqZEl9Pk6PNZK8zj3KzJLCBL6tGgDjWBiuuU3kmyD7vFv/7YWgTjSJMNGW2QmNFkCJWs5l0TC5u1x6Qqzq76+vg998L8dOXIYj6o//Mi3JibO4S4KloQcP+g/Z8LfOiUzcj3BjOzee+/FpGzzDN2QZBid/IkngizyakMqE2YJW2JEblEZhUWL+UCRCIsXTsEAdmmKn+wmJ8uMd5QYYXiQQa67jc40/GZg0NMJtijze1wlWl1da+Gbg669RI6azjq87LhNDSWWxcLTAljozVEyO97AOE0PXY0Mj4wECc1AuIi1uLDgktz6aeF8geKA0CncEMiX5bug9y6fSnTl18VY38AxFiVvn2tTX1S8BUSdEyWUIi/LZSRbCUSujNa3rH2iTOTbvbKrUlubhVVOVoUSg6azVl/uoBNNpddaAbQbrWG5EC0YAD3Idxj6lUKdUdgL4Ai8aDEp1zChBCFp4N5pDVMYgMCgsVuuzCxS2HVvJWRhsKuurCjQqxwhk2JWjsWIHN3bqkSalS9klkA0Ko0AuWQJF4rSOrInFt+mAOgvb1N1eZVv4woiwMGkrhFvuFiDjVaXxR8esUUi5W0x084qYWqE7H/vPe+54YbrcX8Pj8p89CMf7u7uhh9YT1TeCxSLw6dysh5MTU194QtfwPl9tmrTMdIoyHYFoFJbKr8XGILW7VN9qqxEltqXTwMRDSjy+QhLw6zwGxrnt8GjRXlAdr6jaMgNaNCFNIa8HMSjTu7RJRErZpXDVqIxJrSpRVpiA+M6FgJTR8fkx2SQ5Zgb4XF165G/wGXYGoFjBw7gtjjmiz09vY1oc+srmJ7Ll4OsJIqi0CDZG8tRCbb1EotYCu3oGMRRLpILvMgBsdBkxVpeCydK21W0KsTZ6JoTz5rINdYnBDCdaJgT7ooEK6fENiXLOk5cItPy59PRwYao1FYqxL06TxThGE/kfosQos5Xpb9CGtMouwIpV0HZikl4k2KBgOCKBglAwmuLCiuQKzlHmslqqvVzLFHnU4CEJZKz9uQI99mV8GZtU16pkmKWbGdi5AAEH3PM5mHDhhEuJEUKejyvzRDsLL9xfQEbjBwfP4DZ1SuvnlxaXj5x/Hh/f9/0zAzwmGDhvqEYHR5yRwW2xBXMsbLIhKb1omhLksuKU3MUkNqkaFnKYLBBWQvMlkthOtxXlCU8SRrlWyo2ch2JL1Jg8O1vIGMDGQDrsYnG9Y75hXk8vYQzdMaaKikbdKHxgbNpiA/z6+vLK2fPnxseHsFDhakIZwB+rN0pVVLGmg6n3nwD3zsvWLhBGz3hyy/aGGQpXDJwhVBmDW2or1yFVVokSiUoYLkSWHKM7HQTraSeiomcpJhlyDEsy0MqM6KtLCYQwxwaQpRLAcVxpwUJXWMyOaya0eVy+p3KyQLWGIZVVDAjQ0MIsVMECkHgpNrQ+Wmy5cgzIzRzCmMiSk3NChdMdm8NEKWKEQvAkohNiixTmbIaIozysnA5oyQCw6+gApGEuCA0erB2LIZTQQeIAV4IIX18ASMA9Mc0XEUtoiY7CZ6XPXAFW2VhTxt+lSshS4qBIYaUPUaHbFG8ChT7FV8NyD9wIVTSZHoAUi3VxCqVCnCYrL6UQlm3A1DzTp0+866778LzV4cPH8JMaW5+nuyksIQwhwkWDi324azWLUeYi1o+V2irzZIRVlGQNc7CQV4Y2hzOSiaY4kf/saNY2mrC2s0/3Eovw/rea+tz4DJxOeSto6CIvchxwNoQw3hvAu/fta60RU4xgsy9itOEqauHxg92dIXsVak4cOLaBB87rd1anwtQG2J2deb0aTyiiGbKcGYQeWIklhzTMBBnCUWWlWhhoRcMmSXijBRBGkQDMCu8AYOtjpmpRMMqZQ3DltTDEgWf9oVkIgFMJf6wIqLAE6E8bLmOCaExF49rpMrhGaSiAlTwG1uosgkrAgXQvVWhcrIA8Wc2VuHEihzFWFqVJshcGlT58YgehyQa+k+4hL28KCrsXtQJJuF1Cjw1KJVAgSJGz+R+RUvClfBybbbXJZKoqNLYJDnAE97IrySHeEJgIda6KNIkvioNR02iYgOyg7nRT0Y6M4EVuZF00e1mJ67Q0k+k1EgQfG5tLlInBJGZIGU3aDzMYyPiPLwxpEUwq08tVIlZGq3abAD3OjBZwl3OH/3oR/hMyIkTx8+enUCwjhw+/Nrrr8Mw+/BMOEThMfjkm4NlhiKyJcEtqSoTWl6XK5RTgEwBoHCJnCQlIpnaiiKoRAqqQCxXOyIRuTyNKXLZmkdKGMBXXWNDSsTC0CCrmjeriEPkxgqKaBmPEQ4LKwwODhw8cpQexsr7lg5OEpDI6AEiCToqKCBLsLY7XifEtwuThRskGdRWUAos8u3e42l25WFbn8INyURIIiopqtBCaZahkEjFMJBLZpAiEl2g5DCf9LRYAXUfwohMySkINSqEnodRN5OIhlTrlBXtLGOUwglxDcszrK5ghRqrTmkCoBCbarUEWGmAMuIUnQUCr4VYBYXM63LClJ+JfSSo4A/3RFEYa5YmIpmOpfhdLNurTrFErThpNVeUH2eoF5r5Vd5MTQYRDI2C6WLCglSalLRIsix7IluM5L24gHobNBfYmAuUhsaln2hE+kJYiIZUemusNMG5Ey7SqjqMbMaxSEKqH2K1MjQFiBARDImmSCaoZP8cocgOxuWXIwsscSI+ossrCL2VACorJGGK+j7XuQHE02UJfE37f3HcHxoaK9JSwwAAIABJREFUujp1FXcGH3r44YcefgQh7evt+/mPfRRPvs/MzuLhd9UaJliKEgAWn+ANT7o8/fTTuOkYERQFA/gkbBFbUcHyqAjRYauy7FqrgKEJfSm0XpHh8BebYd5hYEXTKpJVdy4WiMtXeKK8mBvUVVrNCogV2JoYnp+bw7cEDoyPd/OFK9wrxEkErfPu51JCjkZcwRUsw2thQWuGoWjN7e7pwVom+JAOlnpXAZbdwkqQBUBmxWYJBBOkBaiA1oqzsCFvKINohQgSlFqlKZBLpkgDyHEEIx0BXnI0ljuZ9nIW+GlzfU241BgAzjZFCbkIEpj3wdqEkmsDLjpGKn9vfWluvccfPtlkx6KcCoBJYWecyomBXLJgqPrmuaw05fWA/81weW4m4LijBUgLIfz/hMgXy39FpUSDmyw7HmYxITjFwmFexGgdt1xigGCKYEsvsI1wttZKY5mRJUX0jHcmUECcxcor6euL1ABkhTv5xMiUkevdkUNSiK7Hg0EPP4KjoBE2I8ogWJr477DElWVh0RavJAoYqSblWLZzXtDCoBFxbKmYyKZItBSU3hIqMoeBUWoIShotIZYGiKRZf4sktorfPzo6Nz+HN9BJAF9cX1hc+Po3voH+OH5w3NpWz21BrN7+uc99Dgebb3/72+fPn//MZz7j3mNXg4qCUYR3alCd+6dy2V5XEkpTxYlMoSz4I+W+iph1M6DiEsCo2RIwNwwlSDHKZtCWmBkrqS0uLPb3DxQ0IoXfV8V8paUSp6UKbXpu4uz8/PyRI0dkdiXyaGrF06xc8SWhEkOFy6ngAuD+gQE4iLOTXJn5SBER79G7XQeP8VH6qwWwVf7yFfigiksisIgSeOu5hZUFEnRTaQrYKg9zr/Jv08Xv1ME4sp3ftQM5GiT81fGcE79O5wCpQs/DEUj02T1x+6hxH/fac4hdfMGe66FyCoHQkJlSMdCxvBgWwRKlYonUA87dFK8ChSxI5rIlKxGrZLm6FFlEppLdSEahI0NoU+YCQMKbS+abwKVvgYAE7TTmCqSciMmTYlzZdCnEgfOkWf4Cm0mM2EkBwWa8SFlcA7jMp7eO3Cty/JacZh2LdMlGAp38AoM9AUmT3oU9C2QM71i01172a4zPVccehbTRBmIjnSU2As4LdkEcifcargQgUWBidt5boy2erQxkUoWyWi9toC0hcszQI32BuoP+xSaSLPunkqsAuE9y9Oix/oF+iEBLCAuQWCqIj49BBl/BCma7io9//ONf//rXcbkCdxPxRZGvfOUrcEDuOwbWCMqIiGqlkNKoZahAGCThGCb6hBoGIMoJMqukAkmWqWkMW1vA1dDEAr4ctAuJqWmjcJLanDjcRLZ3l41ZKdic3JTblSVtr05ewYuvWHMLTwhmCbG8O3TR/fD4OhYom7aBGbDDeQVOKma7ZgcHB7MaG2PEblWfFC2/0ihga7OwkGWzIqG00iychoQs0z5IMpyp4BEIKIG533EHJLJIJiFo066J4UZhqnBCCUzhRJAWGXAlsCueZaQ7qbVaEgplV6Cjp7awsLY7oZMij5bW/VwqEaUCFUiIi/AJWfuK0lCQx+3q1EfNIbrsoaqi9tKYOBXqb8NWIwtJMXEoV0VL2kvWgvZyFh6STMy5KVz0cg9PoQ9qTCh+Tgv/+kti5ZoplgkFyc5VGgeRuVLemCS3xNJzawipAhWwSMAN2CmLyXgXFklaHxZSEKdOLM3rDAGhWHCsxVth1p4Q6Fiy7MDgiA1SwO6u7qNHjuL7gQuLi5j49uIeYV9/NtQ5twixqAOWBQIjgM9//vPf/OY3n3rqqV/+5V/GBOtrX/uaVwS9qUlsPNWjwiWUgRNqMkX+sUT1U9gZt6N39hWkJgylnuPJLexx0a9SRtjqhY3yG01k6+TkFawaBWR75YpASRgreXlpCROdPXtGDh8+YixJQe6CvGSq71L59onohjFna8bGxvD+LdY10bdtI63eVurRUmHtLoIjEQWFauYxs1WTI01GEx7jxFzQMEAqwCtI6YRSLOqCVhEx5ygLKIoIVBORaw5Ln4UbClTR5ZRWsrIUAetYxn2twBEW1JS0Ii1bgC+OiRnpXXPAHO0grZjWVEyUuMzCVqzYHh54gU2das4INIUeGd0zrG7g4PaQlpKm0QZqUVXWMJMH2cqNY9Tg1kQpOwKimwmFs17JlCY3rSyZRlyajatImo0H0+DqIEn1vLae0NroZGHaKrjigHfqMVNCs+LaIqZcOGKojcye9y3Cj3zkI7/2a7/22GOPYQ13HGnuu+++5557Di+OYYKFTVIEtrF5EOKSD5Y5L1iDtUXhxMZgvTVqJ8BqcZExaJQimsTJRILlsnBCVlZska1MZLE3nouU4pYzpukek/8r2YA6tbJiPJQevEgtrBQPGfROX74ej+VqXMfC4lgYxmR9LKorYgO+yKAYP3Zg7NSbb2JuV+/0p49epwr3vVIrSoFYfr6JzuyUNMj1vY7d8Jd9HTkz09hNAO3CsyBOLslxoMEEbFavYgQQLkUSZ7wRgYYFxiYDliE2Av3xxtQqqHYqoFVFQIl5wlKTJUZz+cF87WyVYhKagJOHWwguVuLdcCi2RsuGzWwgoIEX0ilBxMnD6SfdkPfAaxMoIAqFkbhAacgamPPWq9Yho6Jr2QbhqAfuJNChwkBCY1SjOahFpO2IkITSLIWb0HASODszc3biLE2HmB63WS5fubR3L65Khe/zgrGLBVLr6vbP//zPr7322oULFx566CHMzp544gk84Y7PP+Mj0DK7AqXc7GQW66uFqTL1mhm2f5eaWWyRBqY6S3XKHLUbYo7lSXLEuA2UIE5eMpWQFBmaxWcx5VZMT2NJkSk8Zt7V7S+vkivlTB2YWskciw7pps+kKSiicgVaFdyrDh0+fPr0qSNHj0YCcw1xAq2IDJ2rzNVNc0pm8LU4ryIvBMkXyYmd/wfv5AzFzaicvlCrBohiL9mhtaiAkx/3WuHVKmFWpJNV9MO2yCwwy2IwOTYXiSzEW3FC5GOXw1Jf7xR6oYHLCKUEQuUoYPltsCw+gRMy0QKBCih9Qqn4BMgyKoFWCSD4XOP1OE+UdFQgg3Jz24pSRWq/Yn5aAO6cBe4jVGHA4bDLzuyLwxQFnw7u4egeVRVL+CmqcSMkz3mybnO8s+gGGOoFgdPFPGD4cTp0krg/gAyfxDlz9gzaC89d4bGZ48eOnXz99c565+VLl7q6OrFAI+kF13pHF6j5mdNgCZh/+MMf3nTTTS+99NJ3v/tdVBw7dgyf9cWUKxAxezDNVhi4IYGhbR+Y1SoBEjy73fCA7azJimrdzC2W1VgdIgEi2cMtBXJdBGUnX8tpLDeXH8gsZ6wSs/lLFy/uHh7GhatIhrVSKmJGMV3nWEhovxRWRqnYkLUk0ucK6DsHxg/iC1ON1/0qEkhDpm4CYrbEt6fEBdoTs+yCuaaTE38oqjQFEt0iF7UKCGVCpkUFigQqPgXACR3YsiI8KdfwDqOUzAd9VfSrchSIqvMKDSnVKqUUoN6xvlrj13+C5USL/0qZp5BwItOSAVakAEoGQGqzeJLFm1Z5RPSrwhVrVQtSJSgg+CyvCiFK/rgnTA8Zim7jKRTwCPrNqra1CiuZGKBFJbCA0FhMLixCcquAhLXlBEWMig9BUJQBIF9ikxeWPJzhbQJ0OpxANimExzROEyKvSdJ40hNcCOkZcE1AIZaGqZHMbNjRLtiwmg+eu4KgA6Oj1x2/bv++/bjRgcfbH3/iCcyxhoZ2416fjAuFn8rB7cRPfepT+IohFnXA3jx95exrX2YZh5sFxQjpXkUGJZEtImtKdY6QHFRTIoW4oZTEm6wKDYYAICiSKXitVSArUzDLK+6wFAiKeBpaKSLAzpSY01+5fBlfqsFFI5fTiYREUUGR5ljr6/gi1PLaalfdXwAL5gISTo4NqUgERaQo4BksvD+bLNwAPPpYTCrm2qs1giEq30u9LlEqJY+LpWkJ1UGOx2YxvoZ+VaIDtKxECT+KwiaAwIzL0S143WeFa5UCok4uEcmhMDvTUjkKKHsRIJSJL7nEKlOA/trS4lr+6wtKWS5WyaBOYQWsDblIJVAtCmiVAMqeBUBQxJUIARk2laC1DuO7AMgoqwnrUUrKgEoQgUSXZ4OS5dbGIiOr1B0LiBaViaJotxihSSQLpZDZ3irC7d6x+16alaMYUa3FTQXYHO8lHDADDmHzm2hTLdoq4Rt0TZo2a6yPZbamKQzaBY9eLSzwou0dHVj0evcQPZeMORaOj3tGRiYnr6J2YIBHGNwiLJL+LG+4/IXbgnpn0BIXOWJpNgpXDEo5WXltVRODFOR6cs2voowgoiKDJ2sq1KpFAS+m8DeVX8Dp0AW1kXRLY6VbmBmWlpcuX7qMb+9ggatoiLMSItEooA6CZLO3z2h+Q89j4dmjlWVcnPU02V+uol1qkB3IpBZLlixh/nfl8sjIHndjJRyFVIUAMnMQmVqV1a6YVLtWGGYCYzpTqQx5ALh0E1g4Za8yVZwCypXFaBUAlaDCFWPJVAgDtCP6ssezHLeIlYIKcXX+pwjv63N++2oLcx3dORWCUisLKdpWocYr0JRo5aoQ9saCSRof2yDN9QJFxdyqlzhMGsRUVLKUKObaqVyWWCgtpoiM8DL5gPF+FqKKwrOy7BoEiky7V8kNAeES4djLJkhfav1XBeaIiEZGbh7vKWnf4IwkR9+1jGpXexTHABMsCf8tt9yMVULxuTY8zbJ799Di0tJTTz2Na1f4eI70IOwLJ1giv2Rt99YdKeLUblHsm6upTtlQVERQZBmIrEoLB/4S5kBkIEjBBi4Rly/U0/Cvo1e4HEgFFttXXBM0IFdwv9mU/VgFVKopUBFkpRsYX8TEwqG4UIq1Q8zpmsoCoMxFsJCoUHdlhB91X8elLEy2mIJ27pjhyizQqbIw0fuhmEAhxycP8T7j3BwWbtjlBJT9gMuJVqpgh6IIKEBHNIFOhbLFDi9wriCLtLCIF4zKTHQqPgv8/+y9aa9mWXYWeG/MGVNGZMxDZpWr7bLLQFXjAhpXtxqLBtpgG/kD/6Atg/jAV2TERyQkfkBLLdEIGiFEI7ql/tIWooTbYLtsN2WX7XKjMpBVmRlTRkRmRmYMmRH3RvSz1trr2WtPZ3jvjaxywcnIc9Zew/OsvfY++5z7DuelJzFbgT5dQfzlLar0gh/DK+eRvnKLzYlq0O3Y9vOPnk/8qvcGtMR2YQlGm6tpHIPHNARjzGxpMYkCocTvw5avYcHHhqm6xEdUsifAaCtlepbqulW5SdZ+P2GuJEoCzlh1YJJEoFBzLGsLtW4Rx+SogYt5VsoUHA4ENF30j7JZh5jsp/GGpU1AwqIXmP+LuG8VwC2UjQAK/xN/5r8/efKEfdn8D/7gP+BTLjDhQmkO2OcbLLxYhavd/mTByYI5QnkWGp7RP8pV7HLMKjA1LX44gXtBedoWn4srXWPKs+jshAlslpBzrXHY2DLGrDoQIDBX8CzJPJrBlJUVsKCZH4shAt4QxK0VptvFi5fkvWrZzAECcSlEZSVLYFh70wUbSnzKCYZtvPQqP+grSeCfpmOwujcRGNiibJqgRiC+Tvvundv63AacIwJoGU/ECV2AmhC7nq3SSLGPsFGeoBiZRuHUt8IIaq1ebocVve1p0UPDhZONoDURqJrKk9nqYJtrvT+0jV+lOFgEVhkYSg9/ArammWgbnecqZ5XJrilDk1GV3ZzMXU0xc6ilGUCDGAx21rii44NhsrMssSdU60XAD6ElJrAntngG6+mMDttK4wxIQDkTQS6IKqzjgRxcKVNlNXmQQHRsXUrQ1p410ROYaNo+e6gU3SpT26ycK8CcuV3MNV5qqfW02GBp4ZOmC0tv6wib/0VABXCndPToUVzFvvWtPzhy+MhXvvKnocRLUb/3e99E7XFFg5WFyjdY8Kh/D4deXaEa/5FPO4ATgdEU5S74UMnIirsKoJvoi0bpaFMZOheGsBEkyiXe4tY+QAQuy9r6MEKO+igrDJ7AiU/jnTxpr+LA7PVI6wmcqNRg2RmrSLjb+eD99/GeoLxqdemy31opdLsi+TKhHAYCMG1xAQ6DpktJumAjDWwy0+W3dOQLhsbRPG7B1Gmf785UkWKCjJy/89Z38HA5ewRadCiAvAEHz9tVg2MXarlygCrqhQlMILQmHQMtfTfFNmBOIzDVFbnNW7kyYetQsWTX0vAC91baA0FwJz+6q7ZrpRqTckxvtwb5RLAxKLGqVm6OYVNmcJUraG7lUyCjZJ34mXOwpmAe/KyxM05qYmnEQLtSJxBxVKNHEopCtIgrUxYJ5yb++IE2ncgJVg/yBr9ZZI//+1uRW+Nifwem2zS46jj3wQqtZclZ0eAmRe6MKhp/w5S9pTnC6egFukgp+FT6qmmOcZwAhTpnQLM5IPXEaTUJ00OqI/0rPZowfX9v586fv3njBvr4e9/85t17965du/rOjXfevXMXg4fP7OIOjN3PElXrBKslR6kNrkxVs/Wf0iB4YljbyExmEoNj1ia3wdQQRemnvgzFkEUCcRd5B6e2G7E/wbEQjW4TUu23PuL8nbffOXnylJ9BEYsyBSOXJn7lBg8pxQ0Pvr/62rHX7PzTc996whFoupEWBcfkWjaxZHqfEWP3WHh8A+6xpKkmx3I/P+KaMO0AR9xd3bx54xoefMpMPNyOQIj4US4dP6VWSrNKqyVnzym0Pq7JnZqF9ZDxWetgfkXOl17GdoUUV2Xg2eOyUg0QNdv4xTjcaTtfF3yYruNLlFILLGTvhYiUXUjHKlWBaDa48k4TRkco/KrMZ2EJwuQthE1HzxdgC2GgO/gxO8oVPGnhrWK69xKt3UgJTIKSg75inRFyuSQibE16webj49w4BhbS2Vg0DMk74iWZrrwvCYlnf7ol1TjVFJ5DVdIEOHM4M8UWoK2yQVGhpKaR92y4wcST8GQvmz9xIE1cG4EiP2sEFaFNx2Ymgwq2aGhAsrNJFlJrm3bEbIzffQV+5OPChQu4tcIZcPvObTyV2nI6dfIUnoQV8zvkkz8qt/CDvtWPD+L1rRt6y1b4oREGpDZt0p6Fm3XgkHfuhBhMYXUPZOmO0eNOwmvhbKowbHJZeDc/8rdCBTVqpsQqjol0E9PZ117DHQbe2os36ZkkrbeyyALrk08+/vDBh/hI4LFXXsHLP1Y3XzesiAbLbqyYTcC3dLG3LaPIQqV/JeNtTdzW4dNj8l6hv5Dl/u0RCIZJE5smAOzCxUu3b98ePbgh5kCQzYX9grOOIY8RIPUU+kmXZv0YlTgmNQ42GqVbdmA5++jiaPPCrnDFiUZkCsQlrPMWgcqVNRbeTYA4sPJGxzElgrILBawru9gp1u8/xLfrv5f7JwO0Xlg3IwVlE9jsp+taxRHI9DahvQQV9toRO/Fl8LbxjESP9dFkOwuWZG73JOCQHfYMC9zCP7fUP3oWftZQb12GtFslcnKpCKZhM325fgi84BW3UE4nDHBo/hKwBMQrwlJbCby/dy7YhU7ivWIJR8+sZFAvhOAhmQpoA5ccVSN6a0OyNVv1onXApPC2N/2IwIjIcLdL540+axrw2qEPmgGSVIc1DntX4IO5uK7h5wQ/wZPcXzw/evQYbpnaX1fTV7CaOnzpS19666237B1DfIALlxM8B6t/g7VJpg3fGpAlweqzxDERLxy2Is0V8BpnY44oCgVcaBCZQjAuFaVLFt/rXEbOUvd8UDo5ETTrF8ePHz929Oj9+/cxN/CL4kcOH1YegMgRtzH4hurDjx7CHacK3orGbT5+QzByTOevLOJiiObcDadD36p/uJlJvleIt8arz7x7byXvkFOULY0qh6NHjuCvD/zJcunSpRC3QAR0RTYRtNBT3eoFvAtrkyEvvl2nUplwwYHNsq/S4noIB7qpe39n1a1AYqyD2H2WLewShP8t1uQKnaZKXzWF9/DW8x3MzX4diKMCWxVMv6neKeGJyFixPlCpnYAqHev6LA90HP51ZGMt1bJCpa7JARqbSHFveofBMd9uBWUphvT6RTMH3QffEqRtuathwm55dhzF071bc6WJju3sjc7RE7LO51EOBf8YVuaqQ1lI0sQeBN4OXQc83W9pHMYLtwgpWUGVzXslAhuulDEWObtli0sepLPBG2ZMrfZk0AuH4NYgg7ZdaMxo1yhgRiVNjuhHB/SFa9zOllrCE6zw2Vx8xxwXPvwSYfElMPftv0WIVx1wO4XvecHtp37qp/BrOV/96lc9ZMmx7cYoqhj75WEjOOoLXGoHQoe3o9LgClenmcwHCpEiglCmED0Xyol9AcQCFzlLJG2dmThV5LxFMwieFdTphMTjRg8duoh7C/k1m7t4XVPOzRcvdvUXA/CkNcw53HmE81MgLGtWyARlcgI/gsicu1b3SsduFy38wAG8aLV74GCa3vI6Fl7Dwp9sviIwlkIFPtFEN3Fq4G8XvNA7lUoLEbvXWqPGPKEp8isa4q4K71OMH8jJlTW2oeiT+epJUgpd8JGVFIgyXvNkDtAzloJSsGP5itKlLpVDZwE/fuDjRy+Oe9fKwJlW7MjAlQkP7N9dtZ3tnoPVP45CPsdlRGwoNupROv0DX7UgeA563IjC51KBlBsbYmaAsVRO0bGfWpY7jz1TX4LD6t5prMzf9H81HGhGDcYNT9EUV8yD0qS6ZMiySH4RSed4mFcRuoxpWz7t3CLXJ+84jpZToIj+dmuFyKg0oFYDvd+HOb5zKo+8QGAO2rEOJm6q7t67i58dgYCC4c1YfMf8/Pnz1c/X9m+wcHeFzzIjEu8E4Vryd/7O3/nxH/9xT4DHKjOrRdzTMwsxRl2jIruNJKswY4ys60yfrlWU9GhRoDEl9tFTW8WOIBQK89rGHMqcnXy6uHnH8NcJNjkt6/7o5Pfpx/NWhRmq7e0LFy+aj9M06J6NuRGQgtuL47S1cO01LBw3VDtPd/B5Zm7tPVZnAlh5ENO5ySSSCK+eOXP33XcfPuJH/gvrVAP5xUGQ2g16bOrh7UKXhEMBK2koMCRBh3NgkAMjBK3rQ/DoEOUYNZIzTV/SEskqJgARpOc+qqf6HtvaebD1ShMWE26MSTHHO4r7FPX5rNdpg4ytY9hjK6tn3dljp3hZ7XWyvLLK8HkSPe+1uj1mvpZuX/3XndSLqRVWT5NecbT6wOrZCgoZN44d4ACLzXOmpYgBasK1wywJo0ennuoFJjjIp2ShGlIwCUG3tHNiyggA39RZAO0WCmqGmxD3HpSOuDV655238XaNJrSNd3Xwza1Hjx7e+Pjj119/3X7y2c6N/g3W3/gbf+OLX/wiwPCbOb/wC79QoWuzrWDuNhPtBWZdhLDKxX32C1IMgbpqBkcVYQYiNvOjbIJaspVN+kdBrTLVZigjSivvKRhwaa5br6xYQmL9zOCQ9DRwTb7kiMa1Ejm9VQWrAtlshWnYl2hlKuCAHJv4OuFBvI7l7xVGE2UKUsCZNHF/eef2bbwNqqdTO6VYvAYnIke5cRRFPw+CU7Bgg4MSAqEpVAQjfeXWIkcHglCANcrReSTnXkxE2souy5a8ZzLhmFmIS+HI9sfPnp9ugkVBn8aaASnRmZqIUFmrZgxp5QlnvdbBbgmmP7KBgPXWtPpdDrV6fcw1BSiZyS1vpdE0Etc4JK306jwz6mn49LInuJ5hxfufRXMvfU/XoN6YKOw+F5ZwCi4zUEZQdrDQuIdR63VE4ExfWatmmp999lBkzdlBg95YOrcrnNAVg+m3tu6/dx+PvMLbNbidwle4zp498/jRY9xj/ftvfQufHsFPvQFT/6UnuVd59xOOWgSsjonxupxFBJPjvnSfayGyW5SWA0hROQdc2eem1GbQNgHslpcvnkRm655ODdkpS0GVG1lygGqSQB1LhWYMic7UU3DIdIzOlWk/myN642Bn0JxISEHwdUK9x3r+HE97H24Vn4EaDWI4QNv45P5bb33n+vXX8TkzB2MGFYjbiyOdo9aIEN61mifBKUSErjI6zMsDiIF6gKcTGrYUNQ5OFuv5ACypZTVUd5wzPBljYGRp5YNbB/WXIDskdB7V3VjgRgEo0ZkIFIyGzRjYZhBWgUTh4QlAL2gEEyHVosXqaRhpaWh40ZcYpM4pIvYx+lAmMjSVM7tsehsy88+XveKaR9RaqJCjuWKxNLCPiVEZAzeSJxLZCK8ImgNfVqsCcv8afsalo46g7KTOMjureveI5/rXixnpAp3c9nnTjwxblBi9IRAhCQ6uTXT4wYMPsLj98Oc///jJE7wniJ/Hwe8140MjIHry8RM8Igv3XnYm4BUsBCF+uH3uc5/DZ+PxPPjKw2IsAeevXKaaKfMpl4FtFDnSD2D2rF7EZ1PQR8xrJrPBdS7Jz+8YZH+a1nR1u+yPM/WHlrEUGN1qaGoFOG8w9C1OntDRFqGjHH0gW8bmUGRfNBiU3iuUZze091hAsc0EQ4h7tXKAtrevv/7GrVs3r171n1BMZ1Of2sF5hFskMj1jKdB/T8I0nNVvIUHlzD5Q8J4IZ+U8QQHvCWeCJ8G+16Y3XNNdA6M5IPDF1u5EAmJSV6PwVoogCwU6wD8qU0B70BNf0tCLEnK3P6q030CQS1R7z7QEfJbdemRudF6CvLCPEcq4LJBcFFgV6atuukiigt6mRymYN8FhJOaEEDHoFpVRNnC4dVnMc4/vYkS6njybYy9onQ6d2x8WHbE0bBhE+/1jycV03fHcH+amw12uxmtTRZH0s2dP8SF1dNEmyft6X4UvBeJbhDh58W11PFB0CzdYGtR/i/Af/+N/bI9pwPfF8JIXPon17W9/u0oucka5clvX7AKtnQ9dkHV5mHcL5KnIkgDZmtjrxhYGO91C2UTjhdwB52aD+yXgeHCytASMPKmnEEH2UZ7Br8xWooreumT76D+Sq3BrJucYA0NskkAeiyWvY+GpclE8AAAgAElEQVSN9Poei/4UumRZKQ9uuHABD53Dy8JZmyfGLM6UQ9dmJbTOWA/ZsZBAEs251bcacHWdCU4BsZYY/ZknhYhfOUdTlIlvAtKpbjUIngU9j8Q/vJoVMSsZgfhGayQiVPSMSjjHZnSLsvnINSZr9S08VeharN2x9cAvQPD1Pk6RJPBxJpbkdKpdgq4y96CU6Gx9ZNO82KRQRk+1vCo6NKiYQMjQdnsU8buZjJhaZ8OPeoJTaNG6pgjShpDIYs1ZOqmubLaBL0fT7cFeqWQQw3VNr5DomXV99uZ5r+z7GZ9SnoBMBfzm7//+Zz/7mT/55S/D9T+9+SaaOpOL8sov4hYKhf36178+gv+BH/gBfH1sZF2qbyknIqed58uxAtpXSIBisz8v/S0htHDyH0i/HxpK6fnZMe1d2SPv2pxMpuREn7qxPZKXr5tNxaoYE+mGmLJrSrFTNnUxJrhRkFMa46XDZCgEEQH3WPieYe8eK1H2Dhk8DtGRI0fxEJN379yRL1fKVhCx0QPMOkBHT2OCOVKaN9wq5xiYEVUyU+UffYhvAkyVM8EpMLzV0DQSSNc6EM0FP7aupUb87E5Lrs3aUoeqI+KFX7Tw1x9aa4maWjEJXxwESKZW/ngsvOz+CQ+Bkjs4BZd7J/lPNwpdFr+pKI1WLNVZtnHvwGI2jphqBOqDRw/IyhUIrZCVU2qmv9z7xnVa6xFjpAt+kZYq4r9wAtONwqjLdKBQEVlPp+vG2FVCUUOPrIiqtKumB3WOERzmGFiZOsGfrsrHLeWo506qups+3YTIhvMBm08zqrMQy5q1WcJnrfBEBryIhTcHf/QLX/ilX/plfGP9B37gs3/iyz925867b7/9Dr5ojz/eEYBv2PdfwcpgpQRovLJ18+bNUt205lJsAlyRhsCbS47zXPBIa6NIgmlLIJZC+3qdagWHy7O/5mTgNhgKs3ZyKCM4BWK6c1yCjXNJ11+iz8Ik5ro0l+EsjRFIASfrRxy6TZ1BltWuPsthzT2WgDuTHxULjwfDl20/fPDAXved7jVrRgH+ljdBWyFi0hqVXdkKJ+DFvWb2JVQlWGD2m5RiR0aBhk+WKbzWyQhijP/VEy8ydm7Kqc7zOIZsbb2y/fQTfIVQ8Uni7uKKWNl0fZCLu95CAVbXZLvWJ2jj4jmrA+hkQSvnPJncPjoKM1KnPwXHMEVQj5AKvQFqF3IuyhTcFLRAnsi88HOQyh9NbPCk4I44IhnBiIUKVhPFqERWFnFveRW8YFbGpFHZ0QqCFqkwDxrWlWnACrnIbQAb1eZvRJZ+BIwyougGuTJFzJFs4SPr/up1WqccdUBz7mHG7ysnGLpF6Uyj1bynT7/6/nvvPXn85Gtf+3W8iIWnQj7b2Tkmj2t48YpuhohnN8gNlmWC9wFx/zRL9c1vflN8LHXsR92IQLmY5aSIPiZ3K9K6ucYWPm9ZMr70Gilsiik7rWxqGRFrbc0M1JFQu2YqSOcR6vdrRRQLw2VkmoT+BUrTWOjWxJWKUSpAx6Zd6s/OEmbSZ8QBCOsE9hSMtUKnkmm1Dq0m8crbgM93D6ZHYRkRnClIoH0ey57z3gL1NOnrWq0Jz8TCK7sfffTRyVOnrH7wUUFf2wgBrAsFM1bNENEXrSjTscS0qVt0vo+atAy0NgOTUJqtJVdNzvVJ8GQkaHSG0vTYYzPoROBNs5Q5qE4j9KSWsxXBpc/x7UcPnx+DCRS8f5KYF/JZKPVHnWTTUAk2CIUssKyzEju9aZAuU2mlEPcCSRWqyel2KzNNRCvrVoJoF9RJHXKTgZXgSU711CjIGBE8vO0svDJ7NzbiiLO8KIhNy5gCEkKqWxUQOJlG6dJt5WESMnUpw8uW3ybCkQaLCui0BF0tIohuJlTNOsDbdIOil6/7udXaFjXtnyOXSU2/p8JkQHOP5a8aG1qbFmqdCl9qi9VZGlP4SWLcIEva0Agunnf18ZMn+CLh3bv33nvvPWjgjA33UOVnRfRbhJbJBj/2LKSWwfRwJSemx6yHAnItbLGV+gm74NqymJyNyE4+khZACxupjpaxIaUluABIHHllDNaF/GQKoVPiItiuE5kgUK6oGEihcsjNyqNCJAcEbJUzmtG/smYOl6YdCCWCuULCN/vwacRD6et9RKCQsP0z7+3nsZzcj8DEhniZnMpTYeHDWHfuyIMb8NIxTZgbzM+RZo7mzygKVRgp4LBo4zStEDGzrXAGRNwASh2FYExiLv2EEylMkGKm09hRHLgFMY3k6j7NkeuGCXiJHi74OxJN9P7IgRcfbB1p75/Ex0A9qwa4VqTO1upyXrs1O48zp68IdCuq48mxAiLQFWE2kB4fLQLqG/UFuFuro/1VaZ7GHxkNioBNrHZkZFZvMQouGGxL3pEFBtXmnfingMoxobSHlLwb0ASc7V23FKrrX+G7j3auw0U7hNTlqGplw2/1riFIdKSSgrsXpKPc6RyFiG96gLf4MQQyoro+okfdWXqMq4xscpcQmirEfW1yOrWo6YYvpZE6AeX111+/d/fuhx8+2N3F+2Dy4gseNIofgR48aLTX+1OnTuGa8e677z5+/NjeU6zoc9974ZWzNOXVJdSu2aJOi5rqSoIav243iLMKoyRB5U98CpXDfDPNEU6WQQQJKAwcg9pcI4EZoacyuCeRBBRan6yZwLLSwdUEg6tA2aSQoVUa6Ss39keEQQzVFPxkZqYVatm0eyxchPGcd0DEXkVHoqdTLtpcxq804usk169fjz+bwED3ykd2L6vkLJGNURQKrfrYThy6QGZmfyjYi7zE5Y0XNQE8iRP40dkooCFXtEImhQtpUJfhp9UDzn4vYXGJTTFtdNI+8IHo4PaznfRgmiotbwoC/se/BOkGKPgnrPlki0jJGjpY2usW/WuDtsll+aCJjdNflLpRYJuaafwUbt5S1BRHigTopKYnOKwr8NUZIQLiVS3CBTcyIyF5UzaqmI8L+Rz0K0rWJJ+SKybPNAqlQ9sxmpAMtol86KBpS/70Jw4Fw097Rcaubw2u5lBO+25UB8krkeFM4+1OiJsstZjghLMHdY6MilDwox6ymLTItiChKbcLVlvz9DEW00Yb0VK0D5wDrwDF15vwodtz5849ffYUz3LH39V4D7CN1x97jr1UF9yF/cRP/MTDhw//2l/7a//kn/wTYH3jG9+Y+uiVDHzodRAzpbDgfz0k2Y3S3ONmlACCUMAVjUyy+nUFhpKAAk1RIC+FaF0kIzJ2CzERizKFymGKI8bQL5KZTFMUGEshWpfLRf0GWFRTWI6fPWPHoG2x0nuFeBipPqsxR66UcKLi0XP4Pexr165DLnoYoTwDP0ZbkIfxpQ9aALLFt0WkhgLcTV6Cb1TqL5cP5xJ1ADSvrGlNyWNwMP+0jKBRrITSlpxxFD8R0k2hvq/XS6Sisf4eeHFwfGcABjVKpNdFr5cJKpVMEuhsZo3+HadahU5af2pDxZWa8PLE6oCmzXxgYXg/Pa0rAfo+NLswgWkIEYfOGDbRh5QcLx5DQqM57e7KIjWEIDvZY+NUsYbq4o5/UkC5oKSev4wXZCWNcLnC6hnyL7x6DZ1OuqutxlJxeeLdiBqB7cLbSgobtKlcPEpE4awvv08MlwOQaraaxhq4M6cxk1+EUEogo/7YqAxG8idB3Ng9lcVgAT6appH9ptsnn3z84IMHH3/y8fPdXfwWIT6YNfix54bgz/7ZP/urv/qreETpt771Leyx/aW/9JfwyAY8Qct8tada3VDR3OFUJNYKQcGvoespzJ9RELBFwCqIZZvwKUJaP5IVft7wuZ2TaBHcd/HRIKxzCGoRqaGwCLv1ZgFJ1gIxikLrM61hCQthADe+/xiQELSyUw8BW0tHDYUKAU3cY8n3CnGPxanUOqmGdNkecA8clL9s8NfItevXgjr5VgtmRuhKfj2SLi3om9B1kutCq7KTn5evh5MLkwOzNKQJfbaFT9LUewv2KbEJgZLgXb0SuGyRaqCmvRBAuYtKWg55sUo+BmUvnDhslUSB1muYvxJYN3pOqjPzWvzO1K4YymEjvg0Bm1VQbCafEic6FLKVy1QeYggjrpG+gGXDFl29JzBdFc6mChxTTjNqiNgIPtZ2GSZgmLQMSWjmU/nTaZ3gRWvPW2NhPutgB97aKVRTymr5wxEUXoNOWDDZOWsnaPIMVtO4giMg6qoT5pM8UYCwsRxBl0T4S/0dCwT4THnuBbyc2/oD56TwowFNUETSMq9oSfIHH7x/9108TkF6Cqpnzx4+/OjhqdOnq5/iPQS7fFLBk0M0vgmF167wAa6/+3f/7uXLl6H523/7b//O7/zOF77whd/+7d82eMne8i6zT+SdQyAQK7tJoYoxf0aJwEblOttsOVrNND6KlPo7S9Y6zOY969BiSjHQCWxdoQ0gB4XWp9V060SlCCUcW63Qgs8PKHuIYGMld4RbRBYDBjK+V4gPxh/Al0v5nHdCh5BaZ1kGB7wA/Nq51/DeOn5rPahFlHrFPsTYGtf9DaJnNUuxn3YjNYVi/oRzbAYnXlkjvyw3uokADLag5Bkka4dOHJJQiFjrZOObmlOgxCfyjBnYmmE5f+dO81w1za1qer5kcMXi4wAwxZu18qmag0KW3VyQjw2dfXbNZm03KNK5rBecrndfmfy7vbOIyTuAHihHgNNRkiuK0NAV1sq5z9HTTupYGQjYhNGLloVJhGVGm8adyax9TMWp+rsAmVWFr4DjABDpihczY0bfSWgWQL2KVq6S3GErj6kyIB7rmRo+0pZVgZPdRaLJk86a6GhuQqpbbEJ+9OiR3l1tnTp56sTJE3ABPz7wjt9+xjcF8b5hCtvaOoRK4M9FtiHgoT4///M//+abb+IDWFeuXIEGMX/9r//1X/zFX4xuIdWotpQASCFaKZORQjJpZHrln95LBKtX17PmGKTejZ1StrhT3nO2YQe0JBJd8bHZCiOuIYcGxCETz8HCNkU3TVClRb5RFJnY+aip0Nompracd83Jnuh6WPp7hXgda/4z75kOOE0H8F1d/ImCF5DlwQ2VQ2z2csjIUWooojHJ9IGALa93yZ5nUMFbNNx1cEwLmfxVJqtruIsSFGVUIb0EtQa6y8guRWtPmTrbM2nooa3nz6wsCSlNC3QoT5AoZ0JiVr2pmjlgU0kB83WlgjG6irRqViGjpl6v2ulRuAtyrkw7xQvn0JiBDZ4mJv9u7xrnlYqcP4ZZC2u9Qs8UyfYToBz6CR+ahCEhdotAJQULlbDZTMgyL1ivc9/nIxZ7eKoZXBK35Fd0AZXSuE6IDRMHK3kKibx8Vb+yzcRzQnKvI5uaoO4Qqc24de/OzUJe5cfmvXv3jPnzn/8hPHwB+oePHkGD52A9+OCDs2fO2Gdwoe98LAvB//yf/3O8iIUPtuNpWghDtv/iX/wLghr0YM8cKHTmKG1dEBQyVWfuNs3CjWAas0u0SKm4Pq8WRax2kg5Yp0edGOlXUVlREWJ8bWxkSbLVtnUdaQhhZGhSaEPoTKH1Wa3xqz7Oevn62NYLOSfLbkzTpfcK5bd0Jh3ZMQMvKZA2fl3qHv6mefgRvizi6673ZhLYFyx3tiNCZBZqQ7h6ENRRqHpeQnZavjDJOa95xD1JudBpFmv/HGoqlfOgiULucPaqqxksY9PJ7cePXpyMribrCiy9BRNmC2ZN49NqGpclioWLSHdkl+Cv8On1ciZ8n4oww7KR2QeP87ODUl6AzSHoOhGqWtXrBXhdnk9jxLvE65X7lCoqJacc/sc+bFZB7E2ApT8A8gdC+LsoIEgIkmS8rJr4a1AfeGkm3UMXXHKvSGeJyXmSVYlmZ+eZfVbqyNEjuJE6dvTox/LRqRfyuOl37yIx/GnND2PxBoswW/jOIJDwRJ9f+IVfsA/G49dy8GaHPe+h7Mtsq16wtJyyerKumVjBxKb/DLqydvmW+HQDs3IOYs6ekXrSXPScvYdpOqsW5EIY4FFNYQw8Zyn4es7koNDzWqkDFohtG+PydMEpZOeJTClm7AATR3mvcBfPeZfPvA8DmYAJPYrzF87fvnUbP/x5+PCRPl286FKmUMXkjlWGiWYnLa2J7MzGYF1xpL6yqOAntdQQ9/QsBXMpdVMtpZXhaAOpoWBA1lwzhIgry4injN5/fmqQV1ps5WW5g/6mw8B1c3Wnv5uDffcjUV5s3wudshyqKTMuUL6yptUhXo7HYd+XlvIc2f8ueoVxxPjojLEpI6OFgchjsYo73vhMrAo2Q8HjfypLOvbhLaWLMBV/nVhKXbzwp7d168L580A+fOTwzu7OieMnDuPpPHj64jYuHfJ4GIBjicVqgq4WcxOvWv3mb/7mX/yLfxEXhr/5N/8mfuz5y1/+Mh5Vis+UVEk0TclCsSwd4ah8lEyUKjTmKpUqeI/NSEnZhOXIqWc+WVJgBVc1F6IjqruBkv+Sg2ctS4v+K4QuiimZ/hIfOI9yop7CBGDfxEi9hxGfoLFe1XvzgRv+LegJ/rzIjxchuGXDcAqm9z3eK0Re+MnCnJWb/Gh5hH262ATN1vblK1du3riJ14J9EBEdKFOIQlKm4EzNMSA0NuDLhpMcnZe9yCKoZEsDlhxsuhPBNl3u8HoffnS8KlaHo6OyK24yTGeIhWEDipUhJcWh7eczz2jQzGVhLTrS6eh3R/W9lhUKVVb4u1OWvbDqjLdLqZ4zcvXdC958bMJ/ySzzebjHvo5guezIXQgKakxYYbja6OvfUnpPYnxcMhyAieWMITDZP2cQ1rDc6d2WLo6yPEYUD+CROPi1vAMHBWd7+/Tp07/xm//vrZu3v/GN3711+86tW7ePHjkKuEMHxQHUCOIrWEQS4fbt2//qX/2rz3/+8/jcFV6+ev/999u7KwQ3W9IpcmP81BS9zArykQMqbCYKGobS6y2w2hhLoYBe2yCTjW4GzVLKaS3yjD+JWz9SU2h9VmuAVXfRq41j1zrNMZ2cd2942jCcQqLL7V08qxSfxZL3Cpe8quHdw4larh2vv/HGrVs3r169JmedbJkica48yFKAu6UWCPjKLjz6OX0yUVhJtca96PXmhBZp1azoo2ktwcGt3XpgKnRtCqx1xBZcH7Oeb0fXGZSOV1ZZN0FqgWxmD0pe3rUUAOiGTDN2Q5hLV0AItu64mKkb9T2izOPsS0bW7GOKaRC7RdpHmpcLpRWSHeet8Fm9dKkM3QviBkn5nJdQPR9lWkalYUaS1jrmFSiHQ3+kS3bWg+XAATSTMZ4M21t4Ww+/jYY3+iB8/od+6MSJ42+88forx47t7O6+8soxvBR17JVXyNm/wYIZ7zL+rm503Xchpr0a3Gq6AcRESBqn9v5wImYicUZRKJyVjVODQuEz3ahiQIMNSgptOEMotD4rNJEssnZ7PE05ba1yMvzIWDlktCxpbSq/mab8XuHurv5eoeFgP2J1ouYMx59MFy5cvHnjRvUrChPcerILkfEB0pYzv3zJ32HOV8I07KUZLatdo16s6POW4as4rKDp1tBxJlhoWskicVhB7fS22AohL6lw9UoWSk9vdGRuIwfoIyn9TWBzInyJD8ONiyEtNU0MMWGkr9xi00JAwY0gFGjauxCJ9o6WEfyKKxqMvRqiLnt+v0vae9nJqeCFsE7rq1AivoyR7ddVz8eXR5eGOJz1SAMvRwmj2Arm8xcuvP3WW7/7u79n6wlXFXhdvHApzhZZpu0f3svod6zR4vYNz9Rq1KsVRcqjaOZXCea/CKKETiEVXGyW/mh1TmWqIFCuAoVJcWXQ2n+V92zTaIyvS2kUTjqLt8hBiHB1N99uH7qsUHZTnOZkiAlstlHAx0bqTnXNZqdLkluYoAEZWQti/Jwh3OS9QmHBllm1uWhnD264eze9yY5FS96z038i2Ht4KugbefKXU3rbTg/WkpsqvJQq/ywToy6yXZANYlOI9WTJHrB0W0CRKkVPpkiBpoysveo6ROcoIyVsoxDqTbAXIblQWqztI2YrIy8g+KW2tRca4+LehMLDp1GltGbXv+tJJUJIRyWFqoNsbkZEWAgjUlDwX/RfKC9JzHyMxWDJuFBYEiU+GHvddPwxBZZkZ9h72H86LCFB6RheEfeFSAVZk7QAsgDJmqPv8Xk9UOY/3Jt2WXajblhPpe/Sffksr5QFi7VU6QU+PXXl6lWx4oNW8vEyKQjczr127szZMxAIm1/B+nN/7i/c+WO39Z0HWvuL19mzZ/AheaSWYXLEHqQRHM8nYG/IOoKeyDaytsQEpFBUY8M0Q/9aBGPKfBO5rzTVXIEjkwblIvhZf7JSYEhmrajoEfWIH26NrVIQsBUypj+DFH/OLHmvUAJx1slgyn/p77+jR4/hgb0fvP/+q2fwx4ncPxlB6iv5M+2M5BHyTUneNzDG+gkfCjSBXbIK7VlxoTO5iG8CwymMGGcd2kCEGC9MMZyyCbvwospQmCVB4VD5qEl0WDRRaAyrLL1OWb+ymKINIyG1LKRrBAtRksamCjPJHk31ziGu6UeW2hxlUmmtWikfncwwSYRPuAXRKFrOtkDmsAVtSkw1I/Coj3KAmRFHUTZWti990kVTUkZ/sMWraI9NnXqGWV24PM/6rnXQdUm6ENOTGS2fvBSwTJ6ltSR/CPznRq/ugvhrQVAkFA93WniZ6bOf/eyDBw8+eYqfynl+7NhRvOqEP6SryHyDhU8E42MiMKP05dyqQlJzic8wkhxR6HuX2UyxTtkcu+JDCDTY2thKk5qV1mEXHcnEJNow4lNofdZqCjrgFm0Bm+ea92iSmu0tMZNghya5BrhREAiWyIqmrBylP5vriOS9wvQMUkHQBUq57BaqJBZW4ZWrkL78ZwKeMHfu/r17jx4+OokHN4SNOZmue8MU3JMYOiA3TEhBaHyjRMEtcjRlQIjGKZm5dWPJ1QodUDp1bFpQOmj3pJSDS7U5ykWDISXm8e2nH28dK3XuPI5Ks8nCgIz66nTS0TcxXJBqdG9rSpL5IDf386P1sbybcVsCaaGyZqI7RHHBonixlaaX2l3kaG6ZwmyLiRhYF4F0Bhjqk0U7v3LbXDfdW+98csUemGw8E2xi8v4ImNYuTYUyqRZEyRNnay2jpaX+rXqRRqeoeqbJqucOEvWxXJLAIqb//JykhlpH/JF87tx53G2hBjauKHaqsJcl32D9zu9847e+/u/ywLhHe8TD4P/8X/jJ7k8bts6y5NlMiUNKuRU6EJWKMZWeTfJRoIkCQSjQVKzSUjJ5JXBmI5MJXW+CUOi6rVKCztCS0IOudXV7GSGZzJ1NChUMWSgUda282czeVAUBZNjgQyEYk8k0CQfTHX9e8OWi4D1FlM4CXT2lf3ppx2mEz2NBfo5vkQDIXs3ymxrCQaCsdMXLRefPn7916xZ+GbT9W4e5AdKKGve0UiCLCwUR3SYEDyxcjBQqCtksnZWg+kqZPYbSbIg4MBqSNlKUG+zqQK9KMGuX6MT2w496D8GyeYQQbBruTAZdtkhna6isDKketAwFZp7SU8bkXbF400oNHyESpRuGJGLYfb7z6NFjvIVx5PBh3gr4+ZIGzkuUAJnbunH1dDQ9b9S5aT+ts6k/6ikZwJVdrMNymy56TnodYvmybyXZsEJpVGL1NO3orWiRGohjtImis4mL+mmI3QlKlwAAk+1jmEJmXOtDbkdXlbumKgpVMU3K2wIxQdkBl6hoeP5wKtr6flf6gfEOXyeS4bBnbsngyf/5Buu3f+vr9gSs2Ty//e1v37t39/Ll8JktzoVut2mdhS4c2rA0l2T2ClHrYPHUUyBuoSkadCkFMNk5Q3U3ikoK9N+LUJSzB82Las+4B2YSU6gI2KTA1WtzWpBhAyJZKyySUagc6iaWFy5B2ZZVSUqU/hpJWpTCN2LSLTbu1PA+IYL8Db6MOZaq/uDnp95+++1r167hS4rWjba3po/7MXy2VETZMJCEVzmwSPNkMlJEUGijxblNuvULmhRCTYPOBOgCISnXcOUQiVewF1tHt16891zXuopXmhVz5aEIvZ1NEptAfhUr/aysshcWszlZqHgZ1LYyeBwnjMCLFx988MHTp5/Y5zqsSHgjAq+PfvTRh08eP0mB2/JTHAcPHsK3yiFIKqMuZsOKild1QFY5Yes16bJAqe3uQENQFME2ZpvrXMDSLu5l6RJC77A0imlIPcGrd4I2G4xMcrF8POGSrsjVXApV8MZFKCFDKa6OKMT4iJC4FnmLorvN8XSDvieVo1p9V5OVmRAGAoOWb7DyCIYUcbr+zM/8zC//8i9XTxmVG5y2hxi9VhnQFogW7/OnDiC6zuba2m8zZpQd5xyFAmjFSpjjRlzZQ08S9jYlyVzdr1G4gcd5D7oGwfKbyJKwFFJ03Q6gsyILTKEK2Qt4AcXJjBm/s7MjL0Eap3pBKUx6NhTvq4mywGkb9nks+bTjgnusWGC7Uzfa69ev40ko8jtUlkhL45qI4LqpJJG+rfzWDwkf94gW8ekzZc5aygTBAhBsdp9KdNqpMTfqZ4WUn0J3nVOfA3Hi0l7JaoHXHuXLCou2xRdjVE14/Ca+Hkwrve0r4qT0elXWUVOiZGrjFzbwhYnd3ed4QfTMmVftb+gYhF9q2sq/h4bO7z579vTDDx88/eSpft/inJ0BMaSUrXyyzNcTSIrD2WJuEkrArCoR99pqeaFR4pRht85kpVWXBmZLe19AlLKkcSKI8bYxCVdqoDwSt4jLqyZRGhmxxSifM3enaFPZItRuPpZv6WfVKnVVi8EQ4N7yEZcmaiqo/9JEBTD0+QarrQjurn76p3/6r/yVv4JXtv7lv/yXrUOtYdVrQ9uedp22tmii6cZg+G2i6DwwsQ5nIIXaY30bUCSjkGCcxo/9zNdzegT5KLglH42bGdSG3C4lIE5vRmluLTo1FEZocw55DRKp9rYlTbSyKuERn/gqSOOUqOvYUUZBr78JvavfHhm+HWDuBOngyeoAACAASURBVFeBLTyq7gAe8n7jxg3caYlntgQaFWGRDjYORa9La3LWoSgtNXjRNlcbwMJQNji25lkReNMT9naJof2dZWpiZKiFXkCdIDmxScENcnzx4uDW0m8niH8C4e2F9VkszVClv/T8IooUV7ydl9G6Ywy2pLcEpN9Pnz577/590J07f+HwYazegwpLqnnDSn7wIJ7Ug8fzvPjkk6d3bt+G7dTpUydOdH47SMNsdNA7pY7pWXEmaOshyGnMSjLCug2HOPJuRuRDVSdjfZQ9LIFGWUJbchxhRMzok/vlOScNDR6JqPyJFKuGh7hL5xi51BzypXujAzkCmQJBzLF215FxZRomYLuGNDNCjpxx/D4xH5IK9YqEM/Kv/tW/+rM/+7N/7+/9va9+9atT3UXNgGD75NdDnIJYbTNChFHoQjAPFdjq+q5Qsq8U6uDwEtu+sRoHKSlU3OSjUDl0x7v2mWiDGFsX3ZRd0wRgx8TTXlaBxo61QJSyD4Vu3PauYI0pGCY+hoXPvCM3ex2rzrBudxLBCwnnzp+7e+8uflK9Y7ZrqxoErKKXrneDghIOTVQwD8T0F7vip/CSiS0KhmTXpwFqT23x4MBGLG920XgFsAtPD7Svk5tsfImwd6OaA1gsCja12MyuYymlKJNW+sR+jSNgscR0xtdRaZgFBw8wxAczDh08dPHSpd5nCicpsnEbn/+7fOUyOPGC1s2bNwCI31DDD9ZmF5GYuQrzs62MrlttDU2DPTZyLbpxqbFXt0mdeeVUsT7O95Sz0AduOgEdVnHVvqYP6KDP8pmDcC/VBWEyM1O3G6zpmQU4Ro8mMUWUCoT+OE6XLlYrDFmKMfwALouPbFJt/KXCZTrCqN7chvsEM7R/rxv6r2Dx7uof/aN/hLurNDs6fdFyyc4naMdnM5UV1oYjD48ypeHlUFHYjKmNkkmhWjz4Qs+E2oWMcUbVThu02WkKLUjmbm1RQ7+onJbZbwqVv2FugFzh+HojantVonDAOQ8OJCGviu9ziQsipZexHtWbXRWBDcXYPYhnkD4/gCVzwXuFBauRbW3hFYWPn3yMj9GcefVMBS5sJV2BsLBRIFjDuXEEQbsskre7yE7wWrpLopJPLLlko9ie8XTnk5VRE2kl00F5CVP6a/12uhjo1PVIqH5JvwKYXbRs2UwXMEPo4lh3kh9QOv16+vTp3bt3r165gpc3Ak8UO1HJnEijg5C9iueFvHoGb6Djm60HDx3E96FyChF4L3Lsb5Sr4d4LRTfWBtpMabbQr5xpSc3Rp9sCISPzCknBcdWn8/6eOmJn9hmyTITZgXHkWdrEWZFtH6NsVpWaJtgV7madWTQr9JUwFJH99ygpLO+unCAdC731K/paR6uYstm5eJQO3/WW3mDFU0/Gbvvnfu7n8NrVP/yH//Cf/tN/ypKVuaJwcVJGuXTst7R4yeTjWXhGwCgXrEXE4oZ1t+x0ERz5ZBLEduG4smGdBhqFCoBEFCqHuql+djrVprbNHpvAJj3JSoGm1YJPm94pEGqKpWdU3o2TaDuG7LtK6I1FpuDIY9x1vcfCc97xOlYvWQAaAQWDcl8cz7529v79+w8fflQ9uMEcO/ucpKN0nFQlsyJ1KkwQj7Jj98wzQJhC2Iik1ts6m0gGCInUMxEIlVfTRYSYiNYooB3cev40DQE7nOsYI4eyxQXMgWcB69cYORWSTP5BvKrZr4T28ccfP/jgg6tXrzrgOFjPOomPREkmbBGOL4Nfunz5k08+fuftt/FS1omTozcNi6jcmK5JpI4pbXCyZcpSsgSqNOYrVYJ0WsVQRrutbL6+JYt2Dju5lYrOQ9kzVBxwyeY6aw32XkYEgkmydI1B5H0EiE5VraJbKccg/+MEJ7U5aX1CX825CEF64KoyLClyK/ZCo4o57H7Sa3h6F+K1WQtSvFrmQZ1j6kSysGX9YbMTuFalN1ihTIj/yZ/8yXPnzv2Df/AP/tk/+2dI+tIPvX79iz+IWr33zrtv/vrvLyBAfkTMMlWKsLQQC+gKF/JRKMzGHfaFtUxRTBMoRaQ24IwNIBRUkXfEp5BtE9Kcd7IzVwoVJnFMYLNyW9i0c0fOoTYA50Di8PunUU5t7FoNkSkUHUND2/H87VPk07Zv72hfbOH3CvG9wgPPt56DoCAOJ0GlL4Fwrt26eevI0WMTD27IEYDyxUUFtUjPGw7TqFpFlieDzUgJcxCY0qitaeTF2stqgrLtwoRzMpGdAgy5z+Z1avvxoxfFg8fC2MxzZA/L0CZ8P9tmFCSYJdFrQ4ablQTt4UcfPXz4cMHPbKRedzOYZcJTcPGLmXgK7s2bNy9evDh4BE8sskP26+DW4XGzNBWO89/ALYEN0xjmh1GzBc6XueTpC5t8jHIieLmJgBLiZIVygGU+XkcMDTZvDUKSOteqN6Ax1kpte+YEkmoIYkgpMwhqdE7yy+yla2yZj1dDgjwwAfZAvCBeBCTpUSKUW3KysoW62esBWMrVIm+dJZcyvGkNvXCDBS7PSbq//ce//GO/9K//9a/+yq8C5Y0f++HXXr/49f/z/8E7IT/wp370c//Nj/6ndI8FRPxDoO0zY3mdycjZQ6XSrTIOm33K4E4+CsHo4pTNfdojuLEhtu6xuxKWglsWHC1mBA0AmpgHUS2WrBTosJlgE7z7EpRMcKHBKOIWasG2cU7sLftfsIVpNKKQRyvIa0zzeUqvKppIr/2t2NF8bu8VQuid9uo/Sk0Xne3tK1evvPXWW9euXcdb8wW+ZIOtvPVjlqQbwkewRU4xwGth7JpGNCf2AWyyVtWM8WN58fJtc1CBBmmo7fj2x+8+Pzvm61rGmbPs3bixUi8AejYtRXjxEe6uPnqIH+UYo+6n5czZs6dOn8ZH4PE5Ldz3N9fCqSLvZx7TWEurN0ZpJhhWOlvsGKMk0t/9upEi8pSQbh94oyWX4yn/bFvolgNUYlTqfU1n7G0OraYC7jULcCXMGrsZQlREzuYe3KwuQFn3OnhWgHArxuuJWGT11Y8n5TqNWN092X3d3srfIkwLClL5n//X/+Xzf+a//uGf+OPHz5x6dP/D3/6//o2t82/+xu+/cvqEMwBRQJmQ6xcd29WLGSG+tRLUemp7KocC/SYQGWwZWJOB2sfkQiUFxq4QRsGkN6F1o4bCCta+q8477GpEGVTR4f+Jt/D6mGPtaBCop5AwNC3ZqUFbY/SxBeeVnWB9F4BjA7rRUzBvslIwfdonLX6vUH8TGs8gnb+NiwBYBKT+29vXr79+6+YN3GMVS4yOgviHxULD+9lE5LFcldmaldKinSWxd33GPGJxhGmvylp3tjKvbuKPyN1l3yIM6QZxhnBVWXy9DGv6CP7x4yd4qsKndndlaWAiX7127fHjRzdu3sAPD8jjHr6PNlkHbC3gFV3OLRnrT+VGauntdbwVsHwlxf0+L8LARkKoV03pALNcjIQLzoXlwF1PslkxzYfKYWHbgk+uCsGoon4uXd8iLAv6wa17v/m/f/XYyeNPH3+yu7MTM37y4SO8gIyfVANAgIsufRkjhg0hFCq/iBbl6DYc9lFAGzyit+SiP1KVx0kugS7DUqsKJDGFKsr8h12svBc1fSkRUMAbs0diepl+yUs7HrTh0XqlKegfBITRTlvPoaNAexKGhtqxauPMRcfRwZ3dHXlxyPKonAheC2xXAf2m32P1Po9lefTnvp7mMtMOXLx46Z133rn++ut9gr6226XK1Xywx4ZO4V+Msm4u6ewSn4qaTbJTs1pYTh+vY9LV7Wf6huV4goVclrN4kETEgrpejtZt0xTIunbLCep/zMQoyHjO2oMP3rffLqtMaI7oKk9jB6/5s1m5tc0Tx0/gHx61hadnvXr61eWBBmX+CTZN/pbkpWnCuhc57IKaH4IQbZ+S7LfXa+jyfYC/sBU0S4FQkjVRxVRdyhH9bAjk1FsAtcQngi+UbeKV06/KR8oCtPUJWP8qtCIv5YWb/cFdVwGPBsa9VHV3hXh8TORHfuRHcPJDjmeRydjbv4JJGyAwDgqtz6xG6tD9R1YKFRZZKVQOvaZPkp6trwO6bkij3khMofbQtiN0jY0SGcqT+XXDMf+zn0bXauHKfRD/Y10pN0wOfEdvkzO+SQMK6/Go3xy4dDWxGqzqawc65AFrLwPhxSXsgL+ClRmZwYQQ8GdFnE54meQg7sef46d5anfJA5tx1Ua1yAtZh+XBDefv3b3b8xjp9P07Mfb6n4JadtOMMGf1xjV0i3zWZ4y7/uufvu7Tt4LGHIZ8ofOWmXG5jLhDswgRfKZ70VVl88deb+wKc+xaYdAGzj+kqi+q1Jx37ty5dOlyG2IawGJTxiywqUbZsdfmz2ZNxoBSuHDh4s6zZ/ffuz8baICENf+0lz7KVigXN0eBCik7roBh9ZNEmgVPVjvPhdH7J8gKwALsH2yBZD2QcqLX8r8uO4XLoLE/HV9MJzdWug3SeclqGwqbd2n29RmRY767WjN67J0OQtoV46+8cMtLDz7YaD+k0M9FtUD6tV/7NXOw0ybKUTMBssgELHTYENlzE1oaaihEDuJE5WZygurSGKKaJuwreW3ogMcaACDBywEjmJ5SXnPW7ZXEpTtLSCHblcjY5jnh0YHIYFOSBXbDSZwEtmOxgnKKZmDD4pIBspS802m8jc+8y/OxcMu78r1CO8/xjszHHz+RBzecOdPk0e25TAH1jPsmdIGi6VIRA+6w2aeyEnHQZ3GEhssClrTst0Ayb5wIiNPbEYmpIKzZVWrV8KzZZZtCGE5bbtO0+sAbxGWE8NJu6QnuLzN88skneG6CvOZablUCkSzKZVCnRee2L5U3nt3w6NFDPBEX7xvShCg7jYljApv0pEDTLCNDTLBAWwYrE5p2nZOHuQw2TbWeLQPfYo0d+Qz14xyGIXswoOOIlv/lxJDNNCq+tJ2SgjCV+9Pt8opeDafDJMaqKFmOJKAuezO/D0FjSjwQBc+ym0zhZRqRbZopzsIOU3DLuuOScCuB7f181CtBGVy21qXR85azQ88QALP3koW1dfSWvKa997xS130yFMlqIUyTiRhQuC5oZIjS2QCxx9b6UJMEtkuQPbWM20qg+H4WaUpLGfGcd3k+1gb3WKB58eLsGXtww8OT9RfmFyWwyKmsEkdS+59aFU7VtMVlo7slQSJjmUg6BaiMpLaQbcRIvAUCCHT2aSnyKWmRlk/MagHiUheB1XftMQfu3Ln9+hufaSNHCWyckgVWw2F9N3Y44Gnvhw8fees738HXDO1WRqNkVwW2CbcaMsJkcuWD5VBXxEKN0cfr71BZbt3AIsAb9FwSSGcjQlOidBGIJsfuHI2lY1iriivPdGy4wqNulnPQTQdvYn2p4Jsk9FJjZEGQUbW/gjLV6OaynCiIzK9g5eCtrb/8l/8yvkXyS7/0S2+++WbU71EGn8+AHlKZXM9jbzqjLzCc0o7eKlz21tDFwkdJllB5uyrxyMFegRKOOoU1yXR6NkibnhTMkSktpV3q18kjrR7dDGrYql3FdMAXqXIGcCeFC37U24hNGNPzsfD27eg8zFmW+OqPNwpv3riBb3LFV5SZVA7dgwRW3yQBTFCsIEqxggchFuhQS4/g0GVLGC0TY53lVsY8YEv4jm09e/Li6MjTqm9781mYyQiw0kfkymTNKgGwP/jowzNnzsrfXZ/WpQykSIN3Eu0o4JMhb7zxBl7Hwgdw48NEzHO2j23HhRFnh+4LOr2O2b1UGwUNGSl33VrldGA1CgSXqPlTOLMVfXH1qD5S89G2hpQYNl+Qg11ihHctzvIbO7J+fws6ITfuIsai/6Wn73znO1/60peOHTu2HLqeLsBu/slwI2PsX+oWU8myEVc5DfPAHF2SKNywUNjb/3jNQt4b0s0EAZFZnj8BhRmP5UP+t4OeAcxpmM2cIVbUepz7XcaKp/LZWNRjVDrPtEYc0E8mkSZASlqzqfOgskohxVTaXpMZMEsKMiQaYiy96KyDTwjM+hkJn3nffv4Cr2ON/Iy7Oylhunrt6u1bt/Cbvu42gqn1euOSlMjb/+lEDL6E9QTkGw8bbAifDjSrpRHxjRcayySapmX4r9pOH3jwQB+ClTIpK2FoazGXJwBkjIj+k6C2VlUCWDHw1KvTp09jYfDY5WzZsyVK3c8uhQQuY4S2jYUSVvxuJp4m/+jRoyJSR7DSxKauj7pE+tpoR/jg9TD5eGjc7HOhMb4nS7aqR6rdbHtBootRMdb0th/FbqwnrDFawthDv/Afqc2fzZEgc0eGU/6YxzZy6+jTwtixfF+qpDhrS+SFWFhY+xahB/kR5wDeoZBxWrKp17yrzaklgCMfQ5jBwdwK8bL+x3YwTYooH058qT7cbAcgIOkVTI+KK9M4PYvcaEhWNSfZ1hmny5B4mccs9gYVkqLo1o0ldRLY9ig5diOjw0hmoCUBcGpiiJEmagwl1nis3tFjsbwiKrrq87HkN6EXvI5V54JJfO369Vu3bl67em3iNLQSxGAEshwhmSBG7yDPewTnKCJQ0xDaFsQ0rT4ibCyzp0AwOWoM9tjW9l381rOvAsNiMtHpXFsCZl+vDMnA9QirSKdADFcBj/U/f/48VyyL1UVomHgJkAbDOmEZGSn7V/s37VSAXk+vXb+GeyxEnDjJ5/WkeEnS/0sqBZL1UTLQBjAntx7nVEBK1Uc/uhpUC8gQOrc+NO1RqHIgNfSrthgImc1pEGHnhMuXsIXR09jfJ1arz2YVybWdLEb/BgshiD/32Sv/1entO3/wzsP7Dzoga/Oa9Z+d6YaQcbLUSS+pZnx08dKFyCFs9stLUFoEqaNO0wTk62WFWzUdbJMjy0ChQjEu5lNZ96dpVQBHN4lObzuqyUyW+HsSxaWJORGBwpAQg4hfZh48p2EYVRqkEPNMZUx6dgOedLo6dAt/3F+8cPHGjXfwiCwrhGHHHKJMZii7g0aHaQEng8/xwpGYFGjWNGZeyqLzCoHd8/6T2gQpqqvMlxFkebG9g/fa2CwEjy2U0w1FSnc88IzAXrWoi2CjLKIPHnx19Hz9hqYt5XqJ9CmoKxaIpAeZT6XcRHZswBEbm5FzIKsveirHwHHh/IXbd+4A6ZVXjsdIXSflkShZKaetBGdNELMySG6XAgfO4NGK2rMUiIN31DRJb8o2VjXJJ0+lgd9ALdjeU0KZb5FDCKebJxtskyID4YXY2DSNRXd4tZqm19krY1qFR+bJgkXH72F5bXH3ryty1mh1kcLwBgs/L3rl828ceHLqlTOnnnzw0X/82jf3lMCS3k4MeD2XFuaS5pJ5S7d9XqZ0hBGlKH4Oz7LA3ZW8gtVsUzk2ziMF2JlJ9DFwUlBY1HsDjXDTspVg5ENuCuJZNDR0LWvki2Xo4jhdvRS4PoJNynhXdndXbpgnvcQ49hhbJkEX3mPZaIAj3t/g8y542OO9e3fPn78wSVIbN8w1nR36McG65rkyI/Csz1Kd2EzbZ0Q68irrgH7MyZg0cT0+sFV/Fy/nYHDdqQcnGxLzFk+Sp2uTrSdRn5FnpV7G+I6RfsIppKULmLU1BRkaScWvjjmnGUZ17JGO45RKPym1JR+XwmYpbF26dAk/XHjx0mF8THAcLlmaVQrl8pR/tiX3MjD9GSzDFdGqErAZO0tlpuhI5sUK1x5aeZssKQcZCi9KMV3q0FF7WV6daGVO91gmA2ohGqtnPZUuxHoq2zSUMto9/rRjJ/NPT/XdS431RAp6g9VLBa/gHHvt5Jf++I8+efDo3/0f//rS59+48623pqqDqgPH9q1fj6L16k2SEaJGc45QULUlAhFdFea0U9Ed9DjcIWJpyg2Gzr/5YvTx+9qGY4mCIwLnFrbVZMwpW/YSadaT52E7jhYb9yX2/rVwD/38uT0yVwZnD2O7SU52j4WZaM9uQIdHtWhzO378OL60//777589u/bHXiTVligqW2saDHsvtTUL5D5tAMdW1cKbKY3FVHaB0EuqhebI53iKe3+WWvckD710mhPCHcGPGauUfBllT0rzdIsZw01kOU3wU4CnX33VB03pnYNgVGDBEw/DoXlaoHO8+ZDug91qkOMNvPoKM0nxjcKbN/GZ90uDXy3MOJBSziVp4VE11FO4tAZuTGdtoXNb5+jBirM0CDjM1sZVNbKzUhtQgitQiwYL1UmsVZEpm6ACoBhMUgspdOjdmdrS2c3jI+eSBNr4R1UIZILGpfu8iJo1phFCa5FQteEPS1vO1BV/MBzycaz7t7u7a0V/5dUTn/3yF559/GzmBivUvsYKc6Q0zQ+KjjvitVtlMFqcD9VCIKbGeaRoPfX0aNUZYNghdWEkhRxp0tBQO860p2ersQy5omG6Q9NZWBJAoxD9eR5GuuiwJ5msilL0ouJDUzWVek/s3WBLokhFnkGK39LBM0jTc95XJYFbK3w0B599bh7c0OVPSiaQhEBJkUIfKD3uqm+c1abrKcuBgMhHOQnetmMKniUpHHhJjUwH5Xs8snok9lwOY5L56dywbbCljJ1gEiFdxvRcQbqWsXV2e+vZzs7Ma0IB25a+VRdyXc9tUUcCz70mQEpbgO+L8KPh8uUreB0LnxRsn9dFn0JgbCoCoLTgeUTcXT0jlxsQwVc1s25aSjgTgZaPoTDJin4ivEfPaBkgqVmuW8c9GWVokmhpSGWYUIwr0cK0LQ0xZEZWHimEFkMRA/U0bLRKypNUI2voxGT8d90YF4wFyfhbhE3/cIP15P2Hz771NkDwKcWnHz3Gl8Y3fFCWFHVQWD/fZWRDDvC2lo2y7MN4L+hXx2WQQccTqdj7g8ihG9VVdoCW+nVCRZVKEITKcRH+IqcKuGlaJZhQtBOfQrTuSTZEjoLRK6KIdmUMrEGcpCXgpFffaLFxX/lZEm0q8uwGPH9U7rE6bz1XIFUTz0zBb8Ph/aMjR4+ISXovW9GRkrJIw/0tavleVveCYxBq+NlZyPXK4JdDy2YQ3VEvJa5C040Uzl/LAN9S2dnSt4aZAIUqVJqa8qIOt8HEtXrpPl0waXIGoQoIVim9ugXtItEWRfbXYmwltX1EUef2T9ElAxxhkowVEk8fxfNE8ONO82uzlcKoUpntbsJO4g5+X+W1mmes4p0UKWArws1U+VdND09zpLKOmySSMSqJGk1lz7Ol8Sz54lwqLWjZNGig0xoiL8akEBw1P2knncXqOuteDX6lcL90Mfdm5VU3bV5wIqYxqr36bXPu274HtL7Wl5V49dVXX3/99c8eOn/91pFrNw9feHvrZ7/yP/6tv/W3TpyovzzS6wKw8j9UWv/lZxnY13Sxl6cbeDzexIkbW5gZOjnK/DxqdDTvnASnjAeQl4JbiuMK1orMmgVYrwF6y4BC9CIIhWit5W4GUC7Z4GYZ6Gh1IgzHKFqz9aHVL9IYaICu0YwbWMETa8Hmn6oGTs3Ry9R8Kk9LJu57oX0dnkGKwM6zG6Ad/XOkq1evvvvuHTwNWBTuLCsi/7ln5wgfbFVPOn5R5bi66qb1sqiIOyADGQ1tpoSIo8QpmMqFwkSsz9IaOaUhK4Zk8uL09uOPXpxeyOduE7zuko7dNIRXRwU7yIpWxfWaePzByZOnepahDtc/bLKQyqNiXuBPYmxoWkBcTk3WpbTNxzV1MYe8NOD9wctXrty6eRMJuFKF3HS1lSIWJMrutfCoV4Q5X8uhysRKINQYJeY8B0W7BabYNeHh7oq1WtQLpc6eyHll2tZjTRnMsqXeoAZyluiZInudquVevv+pnxZQVuFOsfOHhNsB1XUbQIqV+IyeSWhOicM9h5RlykU/GAOf79bmr2CV/BiGv//3/z5Wc3uL3QQo8cn30lFaPmRp7PjraDBJx3RSpoE0jQTtzzZZOAxN/sp6xcdACpXDsLk2QOeRFIJChCYahWjtyytcSwDPAAMmGC2Oalp1idJrzcRUZstDcSAWRm0Umh5d0i3160EgVtcLwVC5zENDDN/2FUadd2VmswnG61iHdnZlwdLzIjlaKpYHVDHKZSw6V65evXXr1rVrUw9uIHNHAKMMvSN2PKDyqhSTRE5fnN5ywDYN0MLOMLYBrtEcbFlJ1MmiSzHkGeTtk9sf3Xh+yeHWHA2Z5TKhqInQp1LUaWiBGLuMFm8B48PjfV8rQVpfs4vSyp+iWQVJ3cpyFfZho+ry0I8GOQkOHz702muv4XUsvFcIZp8ha6cIMJeeUqSnYIURyjgQJkcNA0yYMFWebTPHhrTzJGm6n/2Ro1vhj43NlqXVFM6BuvLsZZJ54bxmclaBmrTwFfoqAaEQFVYT9FYTxbU4hfpp08ZETaqSF4toURH9K1m46JqI1YXKKgDN6NZaN9PkG6wzZ888fpweIvcrv/IrE3B4r/CV48fxh5Pk6kMu97qeux8nMJaY0N+MlCUNZS0Kp4Bqo1hFBfsCcWGwpWIXL0ONgZQpLGBWl9UBPkMQ6DkVXA7IcepaC+XShkMnf6UfjUwYVBWHfgvIl8SaD6anfgIqX43ieV7lP8tsJe4XchSMPLBtb+3gQyvP8YGsbbwPnXyZymQeiLt08dKNd27gkY9exMmAhB4O9kMCFmR1SRUkjqdChUfrepq8XbfumC/ARZzXRRZ9GAKx1jcVec0lgfAHtw4aaFrkaegL4NCNXBxgE9jsh5dacyZUaWxbeCUKFdZ7BbthgEuqjCLZ+hqK00KYxq57ijFzCewidPqog97piCWzfeyVV/DZ/A8+eF8eQG9bx7lLFpXetYlYMzUORTcba+TYN7nKxJpWuk4BB7TRc5O0pWKcK0URZjNxaoQXgYNMs9q9EYgNekkioGlLhzLt1K7xvrJoAzudVt4ojzbxSx1aRLB7NTYbRz9zfDHRXJLXRKy6Dbg1esrWJqEavcESzhd/7s//hW+/+aa9wmxl9GLWoecvXMjnUm18Ke1YICOghkIknhi76JbkEgLzRl4XjUqrK2+hogkQ3t0iaAAAIABJREFU3kzTbPUgeHwns1al0yNHZMldTdPq3b6HYwQteynnWpwt6hndp1iX+vUwEIuKYLRsxG1fORo+/tDH+ygT39kvohbkJNTt60ET40PMbfvM+64839q+r1dws8EAarYO48EN5/Dghnv6OMqOQ3YVybNJdRH/PEwWPYtRIKp3p9uFU68hmeAEkZPLl2N38wxqvdvtmM8u9y/t3ZZ+hTDFlw7d+eIZ+LEI2aTXfu1pY/XqpDshwVt7KJA+EgHc6X2Zgn1tw6vcK/gaLGberYkjnTp1Cj888OzEs/TjTpPOHjQ4aqxVxjvhngY7DW5Wpu2hq46dolWAVSYxpcpzITERVobXJVpI5245HLzYmIY7TBwlVrO1wdLoFecmr5sIrAs+B8PLM6mFPSBGuepCNOn6WAQKzHirbB6eArSCdfAhlMhKi08A/NE/9sXSbstQqXs5rSp1JenplrEPI0cGq41OGIxZ/aq7Ry2afu7cy3TKFvzjSFUhcXqEiH0VQWkDr3mYWBOUae01qz5HzZmziuzGbZqor6LxCMTd5/jGvm7RbyF3BaelAUy9Hi6qhNDvHjx0cHcXTyCdvMeqWKWJBzc81Qc3nDl7Nq2PkoSNWewYfD2bSt1BXaPyhbUfYxUZ1CWdQbW1j9TTrurJi0O2tqWJY3g23oazBm3Ryd9JGesJNpko0ms46P+KxnUGH73A8osbq0783lQ2QyQBEG/QhcUhly5ftjcK95Zvig6pbnR+Lk67yFYGSK4Bgd3tywGXezp2cdTwzcfLsKwjBe5cYzbtEjOVSKNYLksbTNTMsSb7cn9QwNn2NZHcyfTGjknoos2WhOvJaBqJLjXRc0I2VED1VpPtQ0gXG+Lf/E//8Xe+8Q3WaAIRnxX401/5by1q7Oa84gHZl5ZxwD5bqu5aOlrFTiXcGSZdi/aeiyP2kSwbs7WeraaP0mg3DjQkGSaDCPulmGmMm5yWKMhBEAoxPGQV1T2ZiG7EdH2+8zycUDRwerrGjsggbhWgN/044RpNhZyeQYpfLOzMyMJTUrSK6B63Vvfv3cMb+ieOn5ARs/BeKhVK3SwXzdo60QaXrhSdRSAlM5mN+HRHeIKyMi0J395Jv7Uak1G513HpkCVfUS1rIlwQyk3IcN/E94JLK1u4wWpjad27YMNkFJ0hW0owVXPAymurd+/i/Y0+ntKvZ49j1wdepq2Sr5qKsWTqLiPbo1dZpV6q0wScxhtPaQuM4cQcU8e0OZ+jchzasXC6QiCICWwWYXK7lGYLYyuHolk2GCtqWW7ljZHo4ktw1lYO0Zly/gzWv/23/+ajDz+E4cChg6cvnP3g1j06VQJ+Iu1zP/iDly5dDqtkPQlK7iLRCm3fm5JKS+gaP+4XbYOXJiWywJZeRG3ImqjGY78V6X00zamPvafLi3R16WZzpZox1iQIhSFo5VHBDcNKA6J0k0GDEDGjnLzsMDQUXssa6RmkePvSpizzoJBw/Hxy8nPnz994553DeMvwiD64YRld7QXSNF1ri7etrG1xJR/NpTV56MzRezLjFs0xGYSjiW2Ig75tjd4S7iwQkWhKxtqty3fdcSz6szdSAbcIRzqHDh0O1pci+mVJ0nd5FdGw1IbyyiuvPHr48PHjx3iRtYObKYu+dzxfikqTz7N9pi+DFPaUOeourPMnXUW+WaoKsmSe55oEXguM4V23EFGJHG09WcRITeWZm6BQP9MU/puyJ/CV4bKoSC6WUMrcl+AEKQfNN7Q7Yn5RendH3kA5ePjQlS985r/7n3769KXXOu6qQsnwIV0VdcLIIidDEf+NYpfoF6RdkkViS2UJzWqfkobhMgoh5TQpzVmmFR1fspBzqBLVpqRh+lEa4rF/m2WTcwrIRlTRVU1xh2riXwBMzpWGTSTBPCiY1fHT9E1Aru3TEzcKkSPqB7LNGd3LPdZzvFeoJxTzoDAAgBrf27pz+za/lj92nLT4B6tDjaI/SoHN9lFPecJEn7WCDVI1VACpkkFziv3o9s4n6RWsTgIeLCxJxmcD4qIuy1yxoSkfRccieeAAHmqGPTaVZW+xBrVgn9YF88TaixvlBVHsiBZH1/8lUaWPfh0JsTr9SlMqBZTzm7JXbnj56v79e7ymVlZvLoJ35309pqpvjLmnzGVyWQJ7TWOj/NNZZeMeEBYms9AtAJuIXtuGJiaGbY2XKkDRY0F4V98H6Wp7sNERWcUmZCNl5mJtfPLZMjqL8IeT4yaCI68c/cGvfPHVy+euf/EH7/7Hd46fPZ0WsRdbR08ce/M3fv/Zx/KkBgP02H07WhJ5Fmdp3yimgVBoqWyxoVlXX+3uVvsXwS+v4fRkEAUSbfR02GeBXK0AJktjPpnggQm8eS3lBVwdOxurAFtURPTRFmvCfkTlQrnFlIQCVelg/XTdzsFDh3Z3t3A1n3svqcoGz3h8++233njjM5V+0LSEirTg2Uz4QfTLVUtWXg87emsBb90lDXl1+6MHz09Po2DlximP36yAGx4hhTU037Bu93+NNKZj4DLxwkhHh2mZ4U+ePD5z5kx0Ro+4xS64rEct2GbsHHS7tLDZJe0nk9glwrMS+eqVq/jAOx7bJo25zZAZHonmQtVu1zxOnEUx/7k6WZW/q7XK08zvaLJm7bDI0G922sl9nrFJSbQgi9IoSweQJVG8wUqT/MmHj37tf/u/P/fjf/SDm3d3n+5859/9e0sFt1xf+B/+xM1vvmk3WGurMfLXImWjdKFSZeMyaU/hstrqwyBTNZyyarr60zhKf9bQ76n/ow4BFFs1OMyqFfo49Oub1/TTEiIOkOVcU4KCpWhoDyoNISDMvl8WnStZE0q1N4p1Jz+e3SD3WLjArxltnOFXrlx95+23rr/+hiaUMgjJRY0nFswvQ4wl1rrUJNHBbZs/NhYIAGzvM45t7byb/4AUHpzd2JwxH+UBM7idkgmw6m2+hIBgA+31K7N0JR2e7adPn8EaQZZD2TxTnC7DjNIuElKWcLmwTCwSmUwkY6bIjkcn4jedHjz44NVXi1vGbh5V+IioyidD6cliVsRGt+zzh0CK9dsgXftbblS8DQBffohPNjsfJfU1657kt9ZfT3+jdXKBQQKbsAu/xKX8x8nwBkvIbHv65BPcSH3mx374/lt3rr56EiB4/RsvZfFmyx07R86UVqi9dT7orrR0VKXDZi0mlMInaCZMm3GPonJOpMyq+Ty7sETqWqeUoMaG+CaHvMIuQl/kNMgkcltC5lhh5maW1DHG1xQ4JeR0Gp8McyetJ5RIIrXK2MmFquZd2E73WPhd6qlnN1RgL/DF+NfOnb937+758/hwccvdaiqEsqkXWqhWhgmIVEfDvUwCshwHnqmuArZ68/sMxcAwy63qTn45SvEw9FjKhtDMe+gxNFg3Z/OvGFgf/EJGWq+HDDOGhQlUKDkfXi00D0OrnCea9LcKnD59Gj8FferU6alqBzgmb/OHFsJSoCkK0Rrl6LNEztVY4r2fPnvJGnnY3N+XhGwAN4SaWV17qHE1Rri5RGUvaKCTaH8TxJDKunZhu8oBQUcdw7vdP4QcyjQE5fCxI2/+5v/38N4HBnno6OFLP/R6Bc+hoAAHQtUC2xVK1YxYlWlJ08ILECf24xKYl+CTcwqJBPElUHYhOxVyP2ZDwS2948gJBKs28wcaBYYXFEWDLo0w9SoUlntcced+m9b+HCRw5HXZj3TKwsTdW3YaSnaPhVdRcRtYOo3GTdzkwQ1Pn7733v3XXjtXRkmrAmodCg3uQedCdKByPsQXwa7TcwgFY2gY1GwCjMCKho1NF+QeGmN9YPvwwgu8BQIKH6yCvDwBZ0xH5t/VQ8laVQ54DpZpiDDyrAKr5kR4LBPBKSQc3mbJSNbGiqvbZAL4CtTt27en3yhkShYle58/InYJJpUM2XgEE7xOqg0qwB5Npvm9bGQJN0lyg4pFmhzuZ3XWRL+unIbc8/dj13eRcv0cYraevvB0XsFaRB9OgLovdXshnrrNxlq3bSLXzvZS/Z5u52vIRbkzJ0QXwxLQgjiDWSDM+DZmywDqOhX3tDyWZ7N6netCc7woeD4ZXwI1WF8FoX21ML4w4AR4jiuZXEQtD2LHpH0W0fjpCZKVPOcdvyiHG53itRbLMOUZ07Xszp45gw8XP370yH4ttH2/bHknAB6qA9EUuazKbinYvsZOAbV6advC4U10LFhy2xvSMiwM6OgWCr4vtvyxZ8uYQWKMC/NnaSI8Yg3ErNE0Ie/syFuE3DZAYKwJUio5j/Q/VRlm5dZt2nXCEfK4d527SnBhFmNocN9v33IVNN1iGlF2uxypX1XDFmE6vE2JvHwlexohMpqcEbRtFJWyjWImrel7QrPHBXmDPvBWRWaxlCcoBnCzVR7EDdUEXDYJZPXwc4UCwNMN1uZjzDyGmS42WE8sFcB2O2Z03pPF0IscZSz7yEyFQgS0GMlsFB+95+RFBZ0oEuMpzDGGJW3edezhOemFqrzNZSoisDGA6g/BwHlGbTmluYTXNOSJ2bJN5wAr3KZ9ZognzZ5VmQlLJi+y4R5LT9lJnMJ47tz5d+TBDYeOHDmqN4lLP3kdswEium091xKYuLoUCNiggnICIlD3EFABW6qwx3NiVw3IAeHH7+SsCsrreKhAKrJkFjZM0unSJIRlK8Khw4fbRAXBXk41rMAuoiYUs+J5k9y1PVzSKrSmKSBA8BvbeM1ofF1RpnTp8qWbN25eu35NcnCXVUeLAuoew/nOY8SJ8igr+myWQwwHBZuQOXBQRn03k+gcY7vO+6/kxNp/6HlEn3hpVfDmfOC+eZTDI6uyQPv57zSjxNINVgniQeF48Mihw8eO3v7W20mHgCpm+Ry0+YLwKsQACUuhZgpp1WKOqS3zbZROvqfdc6Syb+6FbKgjE+KxuOmVstN/ulFYyrc6oATmuW7qiOayTzVvlwCLWusuC3YV4nQyXptbnoMf/do9m4UHzDqOHPJVRaBKuLLVQ7DnY+FFrFWfecfvQN+4eePK5Su4Q4szx2oxGrpRNtBbYC/BeZ3BdhEkE1kwdeACks2c+KJUNzxE1JWl6eDW8x3ArelDzMZ4cxfq5ZQ8M4KtF7PTeWdnpw+kvDppJSPLRzwhaSNr+vEeIxUf1moQmkKs6zJc+f5TZ0bapWhJrk5p++ixo0+ePMHzseA0W4RRGuzjDIL20TpqUBYoe60cTNKHEc2k3qIMfC0CUxKBfzNM0lXGyLi2C2SvMP+wNf2qIiWUWxypQzghXmJ3yoqvJe2/Rbj7bOfC566evqg/3rm9hV/1OHPl/O/94q/jS8z42Sl+YqDoVTULYEtlKLykQU8KhUtfW7hs2GCpKEQgTTeM2cvLI7JaKoOEJIW1aSSotWEhJ1nIjLhNqwPbUen8D4hrxTAKHopU4hZJ/eoXdavLFsGXy5YViKVSJf/8h5mmaXCPJd8rXHWPhS8VXr7yzo133sCXCjUduS76klCkN83tVu3Y0lfCPKg8+kMQCi1GDC9K4Xt740+cm7/lPHNlLaBT48T2J49fyHU9TYR2JsPkd+Yphs4eZPqNcyBsmhndHNTpqD0t1hywt/mEg3JruEgb1EGwsKU+BFnFpTtJSbLQ2yydUJbYXDx+MfPGjRu470/x1gVpzEX27FZGFCECaEuTm0uJnBuXcck3XZEPiGxvnSCv5p1a0cHcFu4LtIUx6lZlleoWEEwTFC9f3GgkbD3TOth81An58pKdrfjkWPoNFr6lfDCvdh/cvId/Mee3v/Ef0MQb6l/5yle+9rWvyfJouByWmAdlChEry9E8mWYOmZCYEGC7aKSjkNGgsn9ZtU+SVQjgEzl1ElrOXgYvvbBbWmQJICJaMyhdxYCXJHhaUqxIH+WXRN3CdkcsXh2YFYUMAhWu4H73l/XLJfs8Fl5VbZ+P5WXKYKDDP7x2deXKFVzVrl+/Ljb90Hp2Wi8h/34VDMr6LXcqWOw8KTuqSW6kZEXcSxl0Ikwl0enVye2Pbj2/mAx6IyW3J1KikEkQOxClKk3GlWkUGCiIZkIoA8MeTz8XTyum1a2ITA0JlE64Z1IvPhg+MCbeuLQMlUfcLcQLZUctZP7EyTQ9/iB/8ODBq6++am6p79M5tIielWRU9sJbbcxQQwQp5qr40lknvKj8f2E0l9KxzERHkA5rUyixpNUiKEMnE5IiijKdqWkpKo2FVMpNmnkkNolGJwiAsUD+UgqqNoPcIGqycIek0urxp/7kn/qt3/q6f7F5GPS1r/365cuXL1y80BnAmeSGmBo3bQ3QaXngxKDJEOKepkJYzFRETTdkaNUDS4EvRymCdBQmoIjT8VkSX4VZkUxZhVfNGCimCXN0HcnT4b5ept5GZ5f9OCLYLz14QpEsIVHoIOLeoh7NVbwASV1cFRac7XuF2zgt9TPvrAqF4JvEI4ePvPbaWX9ww5qBHIAmtfZELir+n/DBpnqsa7a1+VAzdV2n00jQJGQZnV5AZehkO7z1Iv/wZDohBUJyUIcNd1PfUh1Delbw0CT04MsENEePHdMRzn/iDrEsewPctCcoIeqQrkdpAC0z2RvqBLaOwAG9vbDbndY3dxiPbLjxzo3Tp1+txi014TiIThbPpvUyhP2YVPmmbVh2q5bWCqJRcypKDt2OdOHKnrA135Fc1IxrOt1LBl6t7DArMQF4CsRswKSP5bMAY59dbCwseZ+ZS7qyz2m0cPoKllblC3/kj3z+R36k9Wg1+JAE51Zrdc2q7lUja8M0WMzWzKLlScyv3TL/5HLryXlH9WhEul/OWSAUjVUYTMiECDSDM2EG1oQ1cgxkXcIFQ5AqqAWr+AB1AzW5NRF7FJbBJAsdvMtZYcOd2+vpEbvkLq0aOjJCsM9jbeNnWhY/H+v48RNPnz177733XjsXfvBqzZDaImV76bTmh508hhevduMF7PUbZsH8VWQSFstOQpCbPJ9cCIn1UoTRFwhtJu4ljRkEL5RklLLy2V52TRec5PTKK8d3nu0cOXq0dBm32N+FPYEbN8Sm940FZcm6x9Ao2CVAZ4i8eFCe48xPIvAj0O/LVGyfIZKKZclpYTUw7yJhX7bhgG0PHXFkKSZk/K/Ty9RCgATTIGpqwuYxcmQO5hhNy2UDsYHKgDE+3RaLig6ej+jom/thqiJZenUEQmiHOw5dVYSPCHBmsxsIZYwd+azV8+ZEJ6fmwHqtxdqzv95geRnw/sKmgA6xPF5mAaKswlW4N1fWxcOWJ5E9MRi4cdRs0l1Ui2YnWavPKBtIJdzwLyHWiQK5iECBpixM2bIXJbAsirBsGBZiOHZBR7/9FVoGXyBlTcKLHkaHA747js8R2uOOFubQgi8MpBumDcs5qtc0S/o81ovwmffpgK0t/PTK/fv3H/mDGyQZhDAPT87WINu7Lh2xTsXPm5tWyznHXQGFZhqKJo3gUorNjRS5DYrNMgx99Q8/VAZtSmydA1T2rxfQ6HRiJa3k4HPMzhrRzG3pMqDLIKI//uSTFTdYBLeeSF/IKYOZGlDaMputGklfidNGWo2Ju1RguE2h1Cyj8SF3vJ565uyZfF+e8qnvWvYyu5TapkvoXplJv4W+23SwctklqahYC9hqFDur6+nVp260idaqSUiHLZJqYqlwEJ3jiPVwOswInD/tWaKRUq+A2oWnsnLW0LyjW1b1JAPpWaZ0nI0sJzVTYftqm1qGxkSryuIneQWXZgGgNqnewgwqTmtWfBFKZdlFZRdkE+UsKC8n/FOKNIylQFMtzHvUEW27PpVHNdsPrpY9a8CbKLpMlhaTo09auYFTPjkTdww7uzsHt9b9IZGTyInNSEyJfhhbZMUMqa+FgcfOoYMHd3aR//LXsc6dO4d3Z/DTJUf1pRGsMrI913fZLD/lwqKz/CEI+7NCdZcEn/y5IEjPBzJXxSTs86hko8Wi/VweglXrMzIkNaIe8z2CE7ESpIyko7dDXfDMNBTm8OEjz57Jb7yu3JRak9OOIBpJ5cwEjWlOQ5vbprdZ5NRShbpLjeT/ixcvvf/e++fOn5/MwjPfOA1w2ajYkLV9L4bSXFOJUqMNmcx4bMx5eK/GvrBUicWYMPsmIRqjF8PgV/TMCyOIelYqtMwzA4l281GH/o7Odp6w2fceaBkVQVp5EO15qxmVFrQV5RihLtIvucFi7xpEGXvLNXaWbh440xl3Y1wjzHuUIZYNdVV41aTbfgoTHBPJ4ZRgRRdlM6IBysg0iStLGy9dESHKkwh7MzY08o6engyWWUY3z8Y/O3QlrBC6lHWNQyVYRgUdDWYvMX0dq2cYEpeGXbvH2pq5x5IO+n+Xr1y+efMmPjQpD27QTV6mRUU3eYuvzGbjlt9IpRFlQeR6wMYCdPOt54UEHsAjtPAprAVbumIIiMDJ4ptTcCk5jeDUzRFGTtN6fIvw0cOHyu6kVQDwsSUjfVSwXdLZfKRDhTLXzEVYjiDTzYsmM0w4RAdlBsEt/v17xbemplJxEOJOOXdtyq1ZiFnyMMyYUzewqww97NrHylyPmlnP0KzMUgOWyyhFbcyLFDmPclzaYJmEttwpbyZ3anGosqiaLahqxMum58BhWs3OW3rmTGYKIxAys9JVT0eBs3rFGS5d7Q1WmypzA1dpzZUu9bNJTTosxNK0rOyyj1FRnqTaJ2PL5zWrMwNh6xyzGFqHhhi9QLbrG9CsdGWEVTFR9RxK941bbWesYLz45gFNJ0QbsZRcuyqvHqUAY1oaLX5lbgQSk4OKXDZUU+7EeW9FxT3WoZ1d/CQxFjm95uLs1poZkWYjO3tRSpX4kvw7b7/9xmc+Yy5qTG8cUbOZMH/diaXG1LIAHwkrnSxPxbm7MheJrWt6ZHvnqf6ZOsSSqumSYaGSiuS6eSapC3UmwwRKA96zxluEYNe8PDFNKDkuLVEq6vxcLBOILStCb1wku1Ru4TGuXs1U530xt63jJ048efz4lePHI9eUzC7PzzPApNw0qcQYMsM5km8Dp0i7NstkYwS7ZUG4bikrOQtSnl3OntL9N5xlYX7r2AAuIbHU7uJMnSxYVWBQ7vh1VYKb6mB2KSqkii9eBjxJc4l7MiypR8UgnNpr6CUhG51QB4LPCtNFsL9ksfYJo2IV/VcN9PwX6VrPaF0qE5pCjASHnhxpH03qbyXZqDABa8VcYZYQfJPRsX+uYcE2yixyUCb0AkFGRv6XeZOSYxTOa0s9dIDGQph1KLzbhsbLhS7+MzcvWE7OfSQ5pghnNLUnLfwKDQCXgHhWU4Np+RVd8tRXJLTSFfMT3zKTbff5U5zQz3Ze4Jn0+J6cfOr8AB6wkv5JA2/3Fd9BgebK1Wt4yHvklF4sqUiMEZldFQGbjB+UNssgWgXpBhr+E0dE1ZuCbJJKAFJYTcWUJ7cfP3xxKjlAn2ZZYJHctS+2TwkjIvgEgsVinclcoNWLe61pSqlfrjlAs69No4OqY4V5J5ubtWgsnWtHR3VEJorw4gU+FPje+++PnKf0mooOonn5gObEoE+5yWzsbFxR2JeO04zK0oBTwVsHpXJFHwRaLVLpJCRUtUaYb3sX14J4blYtzWqebOiB3iQbOhv7O4wwA6LyPwMxgAxjhSr2MSjICul5+PIzk0Btlmxsg8VTYYq198o2XsECFO/umeoSmFXOCbAbE2d95aBN01WWnOHQkF1mJEyQ/AHMCd+KyZvpGLsxAVKYHKJQLm8g8TSAmCM5TERtRmU277MUiDMy8tLkbJ/zKJ3LVo4upEVORUSnEUGqgaJJBDY6GNKlvW6T+FgBwyKodOqP0x/3SaR+fvDA4Z3d3QPbzYv1dCkE/H7O2bNn7969e+HChWwoMika2aeW4nyDTZYlWZLkoNtCmBKWIKV6ZUsSkeFBCse2Pr67dSbFe2oL4BCeurPAeewijDZRYjlUowxhkmWHgwfKzwV6Ycc0c5bU8UQ5590mLLk5Rvd1hjnIZE+TA6ODPwTwkOqVX6WyxAzLph/uDLSZi7cwE7hpjMxYl5eH0lOLks5Tlijl5KdCKhxjasGKkmbsnHMd7G1WVhQNCMC1l7lMyT8rcpQ4NwjOM3dkoPZnCU7quKVdBqipTSYmHfIp1all6DbYpoqTKES3InKxE0YibD1h71rvoBkxtG8RhqC9iWXf05JjebDXJlSeq2itHKtCWmeppCaRjntJqEXPmk1xZUWwpR9YEWS01kSfTL9HqQuKNU/HNBtN0r3svLR7It8YRHPL1JKQ/OWWNeskBG6cSmDCJ83t7lN0TFH/pIw3UiGiFvGZd7xXuHtQ3iusbUU7WU+cOLmzs4vvFeInCwv7qD8y5UpHaffmW0pgb3VRECyM5WJbJRCall7itEQ9VK4r+WY0xMyKimPdEfy6/7Px7mBpoTexOwbuLs3RClCc3ZsnENGtF7OjM9nZlMksSOStZQzP+QsX8HVCfODdh6r2sZv1tE9GT8yO3ip9GpxpxeaF9T8wMDkyyOZlIUg5Vaazb6yWCSDUQkwKTUBHkZ0VJzc7vmMVwyoQPZtiH+nYYtFkHWKz9Rxqqpjpc9lowomXJ5oP8ZJMODFjVlD+/9y9WbclyXUeds6d7626Nc9ToxskOIkUSXEA1IC0sMRBEm2/2Q+2f4D9W7wkP3hZFrX0ItvLfrFsYC1ySQQtihT0SAAUBDZAEADZ3TVXdXVV3ao7nXvv8bf3jtgxZERk5HCqIGedyhMZsfe3v71jyLiZeSL7jUQ+SDaN+pYqFwkY04/mZJWrC5KOlbWFleHGnCiSfqKs36HU4hrX2zW5LiVyXvCkpg3LdpARJXwHmBZ1Y55UGXo8XdH4kZ9va9N4aQJMwMz/ML9hHKHtGyh6i9qUO3tyd0/3TIwuStHm3eCLRoYi9oR+V3h8InfpvL7l11jgKa2mPZ9g4YYQlp/7Qa1qxYp7QZUKZqgXH3WJS6xrjuG+He4iCURcGp0NvdAzJENhyswtgxVKFo4IxNoqiEk0HwURAAAgAElEQVQRhQ6bykMXG7yRBB+17U6d3t7ZeZWTyoQlJ+7nCyu+vmd4+qWd0uzOABD8oBVXsKSWjUeCppgSsZq41chUOqfWm/JxEY8m8SDXoZabFiRHmkqPWnYq1Nxo446cs1ORLyBozbHvFboqwrUDBNloCOb+oOU1CSZCigCpkc/KeGSMDACZGR2KGcjkP/REK/0siC5uySdrq1HQb4IlDju3EYbcp2HRZDjlnMSw/AJFCniypwyyCEToR2HIIYIdE6SmI0yNJPUQB5JTHzlfTXq4wipo2iymwcNR1VYrVwQDiIZJQiZ7o+QxczXLmTHqHC+TofsUcX6n46ZL80kwkTqmh6XwQS/mm3t2IiXTKXpMirq1c6ndujgT749WVjDHWqJnsao2LNzw6afPDg8OeBQ2ESUmJlYDe8XAwZ2qFERoPI37BfMjnkjUbDKsGQdrFFIybCvoAUQuIWlY5bkltUKgU6dOvX6dnWDxsBAqpI+a9CwranGSbsqksdK5AlLhUUJ9Pj9N88iXzIUm04ZKbbUmIEfIYutEhuiEwelBzPrUg5itoKwqMwxKEyo9OAeQ5kCRm0ZT4pTnS0oVyz4nX5nfg0mEDGKIimn9wpKZRWLZQ2jyR52ShsJtRcdMK2QGU7HWfgVLGhztPQCqQx84yyxfYOznBWpKMBJDTCgG8pacECXq+Y2jX5RI6HIA/JAkZOx5otlvjSKCKDgJ5cFZiagAU/zkPQTMR0U9r1wVD2aSqqAKUGUlCWEOB8BMPxrICjwWId0p7tDVykdy/JePuRBlZ1E0l5qfAJanUd4VKVyaoufNIwjvEEWGiBd441KU42mFScyxlk6Ol078SZaAYq8fqzOd3rp1Gw9j0S1K0xakSMxZsd7f8Lb2BNPsHcxBBj4k+254SeqJGdbqyZCx0Kalh1y//5aqM8/YaEm9pMXQVKqbJeOk4xw6kTbFMmn1tEIit92jlLPTKd6c8/LlSwGU0xWdlgeSEbgeIJ6KIYNW4GUmHG/Nao9MK4QR4MAEYQTJWuXx5KzRuJqatWYlx7MdIik+mS5WUyTAijInoPGfDxk6iG5orHgkIIRD7UXY8DMVqB/3IYt4BgtG8EG27B0wVybvqPStbWlyTIf8A/Vh7BCe4mmQLOSdR02b4NG3eUJOxIVdUTuPO0oJeIOV2VGCw0UJpApOsQTvxDl3PHaK6TlQx88LmyMaSTu9Din0Cq6zFhXqNtKHfaPUZczz5ijs0vCcE4FhyvYNBIVVB/O5vBMaSPxnGr7FluwTGNdv3Pj4o4+wcAMNENHW0atImw4JEx75yL6Dmm8boGYEWJzbi8zK5Gg2tw+MNx0MrOgBEfZZEn8lZhKRU6pbn2hzSi0mISkaKMB/ngTUupbEAkZA5vnz52tra4eHh/itX0YhmU0g0k0abYnxU0p4V+ZsNltdtQuVWU3gkE5vv5xio6ZyDcmpeESTmV55XdK6nzOdQIlp28BANC5KaC80i72QwGg1efQWajsB7ptWPr6cL+Dnx2lXS2h7XpeP5UrHaks6AkQ1BxVHdxb5Q/CS0n0TFfW8oE2Qk/gSBNmTdeWniaGcZORSFMXVBIrsX7RoasEZ0YYNQYU4kXtbWxxCocI+gJp83g43cJCo6Z54hMwMPyG9SJqoJ+0JsIO0ubvnX5HiC0K04AE2fUbKXJEyFKm6JeSGLfuTaJ2SX3DJABYkuMhrgdQI7caBO8bjLScnlUDw6cbNm1iA1EJ432FwvIKapDKksHrR8SNTg2NlGiG2BaXvzelsf7IWSzg+XuicUE3kRCap7oDaU3mn8EMEc3XHr19FJEXLk9JjbFzdR0dHmF0dYdKzsoKH0LveQKeRrwufc+fPv3jxvMmeQEzzGxJk6PLNRz+GXeg1iQ3KEdM+GYFr5mjlJuyNVN0J5LosL4BSTVDzR9E6lIxUIhQZSZtNpq2W8tEcK9Xhm0FYHtAWuYM+ixoQ3FCYHB1PZtjjyRF6f6x8auAG1rP0G8SmaUuQE/hCzt+rcgJGy+oTapMThGnPEwGGm0i5YS4QwIFCxQVjHpvqJ6J+VCJ+OBzTaBcsqRbsJUGqzIXHTzvR68duwPV76je4k4cNEynsZDrFEyl0jPREKkESWd6Hxh39dIlRJBt1aRxSDu9dkVfD3ninSDN+hJiWaa/YcP0A1yqePHnclKVhoh3EMgz0I4Y1OIF+6gDh7badmu68mutqljYapqYA1RkwND+aUzSOh3E+ffr03t4emUvVb0jDP7I++nnV6d3d12gGeF3g6toa1gLFM1K9TzCVNtH2cKksJ0zNrzlDykkn8ql+AcI4NAtIiPTJGgvH2u5WxVZrcd/dA2UiPJxSXSj8Zkmmm1rNnB7cqOF0GCKoD0/xU6Mj+Uym+NURFlxZWZ6sYj+dLHdYpgFNrMayiCWFRb107q8xoFHrJKxaSCQohtR6I/tW+qf94PGlSx/KVP8bopgzA4q6ORlOyaHLZLkujVaBE4lWHD5v0dyElL2KplaHn+/zO2KWjumyVLE1R/QTTEbIkkGNTYG269jqZEcWNMc6OpovL9O9wrYNT1Xj0sWzTz65cPFiLAt1cCMQjaCIKGypEzs0viDh/HIFC0ytTqbH7tFSJTyeRRNbiUx/2GZYMMvHxL87Ivto6quzNvS2t8/s7+/jrvH5C+c31jf29nbPn7/QGaiLAjwNGnxD1wSHT6rNQDXE8xkVHSGv7JcMa0ij0fAp9U03m0ozpx/2GDhc52Q+qvfosIZguY3VIDRl6MwyxTO8fH6hGRHGOFylyjaPDhMsH8OOu43Tv52E+cJNli6nVs5p1KZ0ADQJz5Ikec910O+nlLVEinKmniCjlSRnNqvl0bZZb/hbKfpU+owYWiPDHJBeLP3Q9EahaPmhK7YvGwth4mN1BlCq6sZEmm34RtW61P0YwxOeecccC4s51syxsHADbgntvn6NSxcUDr+CwM3x6R+lHsNiviqEYQuZE7zouWJroiCnmZlHIlk/YHLI8i67BhDS2EQS4apRYY1wx3rOcFgYHYlFoX+wv482gMU/z5zZvnTxEmZaaEH0Z3lHIhazaSrhECb3aHW4XBZJx4dMQvo4oXSkFKONe6y9QxPj4i8OrRnGZk4/6w6nsiV6ZmwYuzY8DyJOKlTVEB1rm+M5PZzpzagw5Zm3/HXuI5UmWBjPMPJLqCStmmY46DQiQdkftBWrX0Jr0PJjLl5n1qQmUoYQevzSK1UyYh4o6mZsWZP2W8spob4FuV0P6lGEH6gkVYhikmZXQn3lUUfYSNvuhBL6j2xtwE32yDGTmuG+gYObiwhPwGtMJXY69DS5KHsfRzO7J2SOdbK0zPf/k/pCDkXTS5cu37t3d3llBa/jjWtZOScx3mCmhJPGIope4o86n8vSZLkQY5VECGrEVL6ZkMZIFU5AFCwLaL+bOqkckZYqwV3CV692cJ8uJdiep1DKQEg6apwyYvPJ4yePcMd8a+vU9vY22gDu3OGiJm7hUZNGoLtMs9RiyJJxfPNcvH16+9Gjh3BWhMV3SUPBRNQCgQwJIND4/Ni0Scfkx4eSGSVBLVMbNqSL/+5OoI1zp9YYOegHpBUHD07RPWo7gmPYKV+jimxFhyvSuKP5kwjJKUhCJelIueUwFeS2MGYgpc9FPU8GNMsvo9maDdBRrmBxjZB7TZapQJR4dZUvYfllYOZvasYk+tSxj9eWVnsZQRof7D8nQg3cbC4zjrGUtBmw+vh7Hfdi8IZdm9H9G1SxwaCLKXPS9l3LJTQN9THOIjLHmk9xHYtZEqbQFXMBuRs3bj54cP/q1Wsd32ESMs8c+ZZyQ5sLYeNMrKiCw3vzJ58WRYmTulVGBZDrLAJIH1qSpOGTkUHIlqZ1a3IFc2trC4to9J5gKQ3qStSdhapgOxYo/fTZM7xe+uKli+tr63iq/fXuLi5lzQ4PcW1pY2NDROW0RA471T4pUVccIjmd4iFIzYnwo0MSZxWxTa4RQFNKyrN7Uuu8KcfOmr0UhpnrEZReLHso9a41teWcGzZCOhwL7a5RoU1Rv8E7yEp3/axe1Teew5IZQef2moBvxSi3HynFHlsERYfh+T8SYKU3tVOiPgkez4iBn/mmGIV2JISo2NJ5tRNN8Ti00ueIcaSzyV4an9nzuNl+dy9qCd154BEQ/KXOE6yaCY2Gk/jZ7mLDZ7+7s8howES/EUS0rC7mWKtwku4VCu2MOY75tavX8Dbo23fuNEcfq0Y1N9RXfiRLY6homrC2Wr4L8quT45PJeou+VwyoZtO29U1yassm7LcHImJNnFCk6ghzXEx3kn/uRvpE0ta1ctKE1FWS0qeffoqnrC5cuKjP3tH9we3tw/V1/JYwsoJDwUxCNYWjHCIpG1OVQwHE+zGPj+gPAStR+y1NtMcJ2wUnNEVQVObKXcpmOkdC3fCoX5B8DM+yn+3Sw004rDeZcgPLcA8Gj0NzeYgKf6lRvWJUAiLPqOiw/4aG5Ny0MO3tOxuQ1sZgbQTf4gN0m7gCaGDL6E3lwMgYB2IiacgQ9Skm5frSqAWDnL8pH5uIv33hN5HmUZB2lqg4Rh3EribVRsO6kJCrjVJTNegGYGNOVMwTBg2wmrYJ820Pm7hWM1HSKYsC1N070qLAqil55v0El+u8TC2VhEjjFHvjxo2HDx5gHwnYQxmNHLjNz37DAd7IEVGjPd/uCf9UMnI9vpoxWsUaDXzVrhJNSHI7BTejZL8rMQKtJqVuKBM8cn769avXuH3mQwlPgfKDWQYXScXZebXz8sWLs+ewTsLNSDF5bvBlIii/SNNpklIctkD0tDNnzmJNigsXej5Nb6ZZ6CaYHYXgyieXiHhaKBLPVX0uPzRBUj54WNr5SJpl6F0dkc6mhimY8bMOZBEetBHgGRVu/BFDfs5guoSl8hpV1doLyh76NaVQ7RMsFxCXKhuyrQzy4oMqaoIcjUDi46h4EYcahdT5TPg4Vi6VpgJX20TSis3cAKfRDJyZQE5gEllN/PFzEElshCthsMFAm8PlosCeLQoynU9hdukIrqaxSkpURoMy1mzgeRUO9XRvE/1jqHO1Ngrt5QLF9NqGjyaYekDrYx0d4fVArc+848kbPPP++PHjK1euNAGZB82xbIycCOrArwg1bRP222rIcb+asxjmO4aeTE5ND7w1GgJx5hkrGgQ5Q/sSgWrjoGnYilAJtS87qbT59d/bZ87gaqI8AG6QmkGvh+NR6fXrXdwT3D6zffPWraQqFi7BD2tbe6H4Le1RurugSfzyUYltwiHciPzkk6eTyYWs0YrqoMBQRzGXoJIEIhjIJMU0k+ou5tvhWHXFrh6WISKSIuyfsMvqb75URnvDsOMEd3y2SsAOlTSjmpofu9gZFX660WJ5xIArVH6CJU2j0Nyk9ytnvylpWhMqZhLZglgwfdxRXYcErQmBxTU9c/qPAePjNA0/t7uGr83nKJthmonEvoRbKrNgo3xbQzSNAjutepuP9hRPpHJ2ScWq5WQq8wuN0yDYLmUkxa6cr7BXGuNNjBxmpQ9WzA4N9hhBsvQ0wWU21wmWU/I8Vs3vCvH8zfHx0bNnn+D+UQaT12glPi6gzKcrKWoBaERSExlbHbK1IaxP9p7Oz9paNwhCLoxiAlzHxKHNk71q1mfCJPcjzSee1CqnmBXjDwDuUJRXBaUoYQLPreOhrs2NjVu3aWqVg8IEq3y3Doq6Ud3RsQuYFnVIwFP+MZYgJ2pHqq0CUXgAh1m5jmPimUPwPPJFxCy55+d2T6t6Eso3DkkVLtjxVQpib6ZoWN2Pz9HNqDhMuOW3dJKf24xvP4vokWhWslSpX7G+TOfR0VfOEqooAKEklJ72gREKSPdtdGIFCqUrKAwQ8cJJ9mFaaCgHuubN+JpDR8FBtXn1sFrDCOKnFLjGg83SNVzxiwAsJRVek8pjZ0hjLGzURR4kX+JAbNUbf9WuTdjvLJaDyoostsAS8Jn2rr2Iqvc8lg8fSdEhbtzgfPxaF26gZudiSsrj3ePD+NHiYAtZ5m/nKNIC8Ehp/1kbzLHFUZqn1KcPhbRuHEkyl3Tx8uXLqIWrV6+KfBNKcQqJ46Pjhw8frq2v3bzpbghWQilVQw88Q6KGuAQ9LCpQiopo+Xh9DKsXlPIEMrHg34PLNKt9BlCkLYWCH/keeaEjZJxvjy0UV7+lVTRuNcNvVWnpNZ6W1+K83P9fJO2MClHBQ+rYTxc+o6qPuxfhFWqYRNKcSg0IcmTThM2o+26ooak28uqgGlJEEf+xRYiZ4aoBoJrQjyBSsj3zhKIqqyFNqHEvh8TpMMpSlAUk8MdrMEZY0xgK7GhAVqkCbVGKRaksJd8vLw4qBlMmaat+EAtqWP1oxVomWAwYBq6TAQiPxUmex0pex+KYGjuwiLM7Fm5YWVleX5dfk8WU4+PY+cxxSg15YXgyupJt51JyZFqjrXmqu/nkGHC9NjorW1Ugd2CVMadE+HxPjbTYfQIUXExqrjhqWEEwjmR8jKtfmFpBEC9E8ruw2hAmpu8wP2ZLARSWtVQl+OqhGqhLbG5u4WkzPBNG4hVQbMdAk8/wLXadkThXhNMSBqP1y91XL7WHFAetfbEBRsqEoJArWrbJtVLxBdQgVZdf0EiXSyFu7PetwYbBBWZgwXT+uR+ZwPl/Ol+ezr3LQwu0bKFbo2kF/W9L0Srbb5YJDnytZLoonewKSZgoU9qjaUpsohdUkVxkstch2ijZwH/iiq/OFlXBtPpeNPJKIIjNlNtvsKRhqmIlMGVnLTQybEH7d4calD9sFTI2qsOWSgxIAJzqbgCCVScH7ZWUDs4mLDMnC5Uo75BF9wpnR8crwTPvwGeHeWfBcM3j7t17eOC9cNvXuso6gbZFqftGeKiLJxHcnIewIJOUcnZIADfXMmhOLpPy0IVPJygStmcsourQKBVCubIMlcnm1qlX/Ki7L2BZJX6spGL4pcLJfH7t2rV83VFYZQDAgEBUOa79u5Johh4qn0ICS68dHhwEAgzFrEyIdMjCcSeGlhQ52knR4+OqiSLPVLJQUsoNoExVfkqLCiBMZ8Ez20xKbTXyRTvoiQ2ZZIbiGfvslWRGjFQyibPQTMyoEB/TVKlzLS/Vvm11obwseF3c7QTLarnvdv2oLpxqI9WKFdWjhyyDipfRAE9ntGpo103rN3LFByaqSSHHoq7ntVoW+YYBmyHo9qjzN/wyrvFAasdPGmXyY26rFRmEB1LzrURQ3I8QOZOtMRS7vmIzHUE1BRI5CAU92Bs9gF874Akg2VWinOUftd3/SpBKZyEEqFDXvtJS6VxQ1A3kjvA636pn3qc3bt748K8/fPe9d1U9SgCt+yk1wjCHFERuq3rCQQZVRU3le5BLk/kx/+S6JzE/WAwLYh4UkeIGSpm6MVXdZRsQQ3WoxHPnzj548ECX4lRzSFBL4B4eNYlPnj7d29+7du26e5qKiSpZirMNqzgjsGa48G30SDN6p4YKnrt4LQ+eczebIyIpOBj5aCVrv0Vd0WrVknKWikFjGcTW1L0t9QObhJEKNEVe88oIc3YRlAtN6LgSWMXWuv028IKUxPMzjV/iXYkZDdgjbRjj6Id+ZkZFt/zQoZ1DI1kZD0bixYGnZIZpfoLlx9uwSmR14eufRCOo6LALKsv20EdkclduwkZDjQ34YoL3XrKSqWjUCVfKUs2absW4ljS9JiaeN9QZNlKV9jth+sJMlIIqjG0w7bcvWpfuQxgLE9BSWIlAETPPrhzS3s9lgUaGp8bJCCourj/G6N2KBQHdlJkmtMg9j1W8bIlGdPvO7fv37uE2k+pGCRORVmaRGs/MNI8Y4j/NpWj55GaUVbI1sTY5nM1pESyAZKCa8YhQYwFzvYGkKMByGu1HUnRp2KnS58Wkc8IMwVBECktb7b5+dfHS5YsXLxJLOM9cJZqxS1QWbB2JBbrRQRcoOh2gA5IXQKGYJALjlUamOhwqK9FJmCmDgYQnoGhItMbW00slBYDxh4FZ7QbVKobGPeelaMlxGaFcCp8daBwAVDx+62dE6C+j+Y/3jCrmz8c28MlCZOYnWKTRGr0krB9SIOBQcOwfpP1QPVODARTLnOTlWGE1wfnhkaqGiUAoOAjluh9Rl9Fuo6FFLNE5MZVqtaXhT5tu1ffUWqA8SUra+bTJVkOcwC5zDoxQ6g67MQMm9wuNphhREP+WnNBW8nV0WIpmDLbpd1DLiFLA7G1Hy5vglZkmWnvtDNexcK+Q1nl3Sk2zuMBwprhwg1HJzmaoPDg1Wbo5s8hHS28bsnymAf+N6fH+ZFVCLia6oYl5rTLCxn9DpxuUzzFMC1wNGtbLwKoZ+qh7CENHILezs/P80+fnsbDVrdsiEESkqZPPMT0iaFN56WJJ2kduChaeAot/c5xhc62BTSgUjsqSRUZUqOoIvn+YUBQJLiB2qumJmjyWTJV7oq1Jp0/haRWPBSxb0rRQyOsAZERjDT1mNKqv/HSJQprcHAj9yUAv9SMY/MyPZ1TYZzWTcP+pZUYTLI4G4lBs9NZHjYzGUEqiQys+4HsgohKN+A2ENQ4JCmwMg5NuQnufLrdqVMdSVY20hngYxSyHkLHGZZi1Vmc8gU6WpKoozqGaHI3Z4YE4sF3YyBKMmbFJkyDnQ/peOFqTdK+Qn8cqz7Fwiwo3Up89e1ZeEBLMaMwIh19pLNkmk6GIlm6wunu3Odl9Mg8WmMDphs4NaRKmo5nWICekjCjFWkBqx8aMeza7SMwIYYKLtc6tBoJLbUHYgg1+6fn8+afb22ew/j7lZ910ABUpOYlWjv9FPI6njGnUTBE9DmDUZHP3ECJorZZR3BQ0w41ZSZpoWqoRz4iPO7TMRiEm9n1izpBLee2W6dqm6SSQsrzGaRgGjZmZEAXWyGCQQU0Vsyi3GJUc0/KeIklOsFCsGcDIgZFLlCwki6oSwNLfB1vABAtoYXQMtPRl650cBZKhVpZKpVign9QxFALB4IC5OikF0UQg3e8gh5XLT1lBFWKjEt4ZERqC+O6e8yCl3CGPOY15GYU7hfNUU5roQG6sFmxNJqMmmbT3KErSy7AQ8o2CJFYoVXtUiQaL1iyzteyi7xFnf5VzrDNnzjx5/BgrVZ46teX7LO1XchBcfIpzD+uHD5FLS10V4ZKqq5P5UWMFEfQp09d0mCMu+M+TCc2sNNfmZ5JYMlNOWuBmzl6+EDMGRUxwMYvC0utUyGFB5sHBAZboxG888RJJ1eWEdE9yb9DGhtLEcrjcGmw3YwKWrdHIhHdtde1oNltZxXXHqq0UtCoAFrINAkQlqWGsx4gkHTEUsO+RQP2hI2ObAQ8OfOol5LDdtuEqGlcokWvTyJdbrFzQaEZFYycm6NIWcAPYzqgE1TNObrBjUOFsryykEBZIMJxEfOxKeqaslz3VIzW5gmVPnEKWHMJ/8ct6Z78j/bZDILZrtktYMwLHNDXpmjPj1INZ0ML3MDA0RGmL0pKMHTobmS1tuafRnmopDl57IFRFRqKqQlOYybxBaMqG24M7wytdy9zLSLJoZCpyo6RPRmSe2Tocab4sI4KRuJOklPMyzO91VDnHunz5yr3795aXl3BS186mCRtkmWOlpgu9uAEOfafTYEcPyeJEzvGVIFMouavhm3qiRzomVW9LQMpoMXr2GGAyRJhaF3DrNm7RYskMM8GaTGaz2dMnT1bX1q5fv2FFfGQ+9XYnlvq1B4WNoJNoyNSBwBJGTqnhZtDwcmu8wOf8eX3OnWy2bsKtrnlQewDdZHhhSPJdFQjPVgYZAQ0aWewNpeFlCHKTiJaim6ETZHtBI7igrOOBdQ1EcY1KuhpBoP0t4TmqenBmwa2WGaQbW0QuZh4fG3EOYqT6Ng5lgmV9zJAdQCyNmM71zEiX4KrTpGtirC4YrUgeqJdMjilU3guP+qf954wgqHZzmaOl6okWJalNu8HSssu3hyKYVa//7gHn2gPMiL7su52N6zkOkOQGLPpEW1pwD599CgCpO7X4Stl0MMfiU5GIGpKWMS6W4IH3a9ev48cBWSz2cERuiFcbGvU8bLYZ4Ns03WaQy2jSqgquxUVcDX1Oe/7IT+E1rSI9lZlMLl689OTJY6ytj6kVOFwtrb/AHKXKqF83YxA7IcfZwRDF7KY0Y0uUMynQ3bcGN0wW8cvH7kCkYfg0PeUI2/5G7aGVqnUNzYl8tYf9eHn6TW5JSLZKJCU+vFfOSgZSmk7C1GQqQj80c40KkypuE7RgusyoKj0tU7TNI2hvGoicrkjHpYJlTstU2BgYQr3wKEbrfxw+gzVKmFJkClEKPcMRhUbkeW+SoVjKRr88ga/Tle5He5+NdGF6H3ftAud11nypLix9PU2DMzbACHPT/CTYNtwqXEoMZhKDg5DDFIKWphTR3kn4TSOEUt0wu+dRLZrHVS0RW/rvOcY/kVOBgQmMkiP0VNuK8bvC5aPjk2UMldmfTMDi9Rs3Pv7oozvvvKNjdNILLg3qNClWmcme2vMKdz9XLzxO+C0jXDA3YYG4ZQJH55vET0oTIC5LbGcAWcyE2IRD5H3GDsu28QYaFov63nfvzg5nV65edesv+IrJNFshp3LmPK1ADATcH1zSiA1EIOapd04KHnuKXxFietcZIVIAM84xzjI+U4/kWg8NgODVhK4FkZnEcdMIE8UgwmU04cNoVrGsUCx1aASWixYaEOhyBUGE/hjnGZXc0/PxbZ1SU8+i+Qr5tNWvrYUUd9Flz3hixY2auHlm/XRYEpzePQ1JSltrZGcywgnWwNBYGyF1kxvxgow4HAqHRxZwtG8f3k+HBqR6aC+kRZLpovabv+2H4EiRUx55ciqSTjBnaBvmlrry6w3szEm9ueN+KeUYqQtB3nvJSGiMQxrc8ca3/LRYzJMpl6LASmgNBb4CCAFfJMkONTBiO2G0qtMnkQk5c1uQPwsM02Pzu0JeRSrJHq8hWVrC0qOPHtlaXfQAACAASURBVD7EdayMiGaP4SqCxRsFVtJ25E2Gem1yfMxrNCiJdIKdR9e2YFaqmWNLWr71MhuPGoYbW6F2w8dJwmlYRSOn5/h5wcH+3ud+6qdfvnjRYXZlodnHcm+lIHM0nA5SScImYmM1YhOiyclxpwkWRZlUyS0JLu2FMDsiSetOr2/xlCyRkaGApC9YgsaAvUEdnzEqooGWnFHxc1QUjLbNwo1SERbMRM8dpljYAFMZJGNhCrepSFOttm+SQsO1Qu3IeE9aLZsB9SdYyCogl/B8NQzmhO3A2LkUtK9VQueyTsIOraxGJx4EnGPBO1JkFdQQnXrrrkmVjTgy2VQvAOpgPqIc2FN9UOSLvd20NAvTOJjjmESBhQq1IWjx1CyFterVcYOLbRtUYAor0VPGB4/VASiaqB1jfd5EWY4pykK8gnNwrzCw4w5wQ2d7e/vRo0eFtQOMtB3NNGwOJZGifojNNAukoN4IFhyLx00Pam16sDcp3b70ZIEd33xk+75IW1oGDUgRU0GjZJtae7n4+OmzZ3t7exewsNVF+l3kzsuXeABrtfphcM8MUTKhY84myCa8SlgTnmoyKYq25SVFOmXSDwnLaFQKSGFom0CKr5SV20k9N0Uj243WWMBhAtKamSXrOr5lZwu4URHDDnbWzqgsP/yNtSSLN3XuEo6fC9cozlo4chZG1HEdMSBQXUEqCTQGa+u1YRxsnJyzmkoJTv0JVkFXQaIEMKFFTJWmSfQAi7C9QzHjZWSSeaMUTfznGGA3l+vSxJUrp7p6MoY7ZedZJmGENIWZi5WqJpJafmZt+HydQrqSv1g1tq2OfNsjNjIuO22HBQdkrEbF04ndcqEw0386NnncOJBXH+mSUXG2P5ol6myALTVq7C1hfOsAYjOdfEuqZo516vTp45MTnP7PX6h5MDmexxADJmyomMiaSmt66DMmx/KVsTk5elVzBcsimjBZQITRBc7KuG/mbBsH0wzbhOi2gDi4UgpLW7148RwPtlOEbaxwf/DB/fuFRV8TiOSaGTQc2ZKTCYxsVrEuslqpAmJE/KghG5420Ebc5KaUU3nGRQeXEqrO05qFRjp4to4seyuWa83szihNxadUDYiGbp9Mp5EDbQR3/fxpAGVWo5FwaZO6o7q1YSlJF8tkdiUNhWgPRXS1WaaXq0cly2EkOprDCW7FjciGMnrEwvwXZogiR2EederaqwhqoGcitsy2KV70z20khniadTlx1395hd9y7SQWmmqyTJpjznISYb5GSMeXSpgmdm/FJlQxB3akobCUWH1Ttj1iQfNL2aexl6kSXWknMsjHfYRANfyehf5JoJH1FCsGzRbwIEAiToJaNGVQUR6RYWt3mGOtzo6OVkprkGLhhsePH2EdplOnTrXgghgCzHtmytyHUIVuxtn16e7T+XYLn2Zx41IWiQhtCTXzlvAy+yaEy+H68HqAK6lK7e7uYua6fWb7ll01FHYRParn6XR9YwMC+NldGivg7MXZJy2RzwQwDVvINfXY31/pe4eHh5KAj2RtfHoA9aNQcClbJNyCPkiQDGvikNVNFhhnyd3izD6pnMrMR8+bUUGRhj48G9FyrVfpjVMdFs4MBZUR0yYt8lYrqMtRWks/eloLPiEZ8LwGJ1NX7SSSoL2vZeXDPDWQSNRLJpSbWQ7OpahpYiFgc4KEji1CuAoP1hhwK9y0NTinFZoqIdxExf4d3woQKlccjYVomwed0NOY6dwiRagIblGqrdAzbOLIGtxJjS6JsJjpsHLoKRq5xtcovVhRYZ0B84aZtLYSpo14Z+W5aIQQCkOs8746m+HJdwz8yjlKXLlCF1Rwj3VjY8MVBbFmXSU9YgSZVfO0tDRZpnNH541uOtC43yDfA4uNs15Hf7G01dOnTzc21m/euhV5YEI4n+Ne4b27d80Ei/C520Baqon3VZzz1RqZrjvs5G/QqLk3ztfW1tzYre50DGCeqg1Jf0DuWRxw25ypvdBMxWLnrbeXaP2OBQdmJ7QeFV6MbPjVzKiyRNnJZnfLyhcLbACpyyX8pbDyuUAiy/uWGNs6GIWh0uMKBsEW4+KrCCNN8qRh1CQpEyxOk7ggyp6Oe2zcHnvoZVXgAE2jKPi8WXbwp/m8uRUqfitUUaq6EIQyTnOLiYdC2+6r8d+KoHhk/NKQMxXcpn8rlKzRpHWvgYicNPO6PmKRM98ASQ4IGXE/O8mVu6Agau9kJZKGMSad1vSx/XSmAfoi9Wl62Kd8HWs+x6Pudz/+GDetsD4WIxvaaSsDIpgEpLEsrJL55DgpGWRKf5QsDjKNeG5UHC+IAh4yDJjYA7wQ89Gjh+tr6zfz73xkT7Gb49ohXjuIF+OYMbxbE7Em9buCnsq2JNL+2j5pQg2MBGO/TpwVp+LyBqU6AEbNgDkH6ubMK33XHAwix70eCD1rxLtGBe4Am6NP8jWqnoCxM+P46KNyPHXwM/icmWgivmImLQhj1Yj6mwa0vEVMhZPUaILVz6Uk3JBM0LbMPRiQwztBzSDu5b/NZDJg3LSDvumdcpIaJRcCoJJgbVkZkEpDjnIU5llb6Vxb2uM7C5gssOO2GDK85TTZw3adSpKIp9pWTqIhb8qgP+NqND1DmSTBlKs4o5jJ5utY9l6hfw4Uvkwbl1s++vDDz7z7bgYjzLZ3u8LcAUdg4p0/ps0n3FO0i/ZGjiF3qWyl4EGFx48eYcTzF2QneuKUkLfRRjaS22fO3L378blz58ZpNQLuR6kYnZZCxpEB3NIbqU9KQFrMDygmfKjTf940YTMy3+Jm6HJGtDJbaoSaQPm+Ia5RHRu+aF/4he98Of1Xby1gJT8rJm3Ggtvcqm8/XLadcJuHdi9A36oC+lZ8ga5pv4qZILcNNVMBtwINrqMK2TqR1uYJ58X/AI864/QNTaRaKUbM/ENqW9IhJddE3Ih0Q/Zxw3R2WA7F6o+ojuWqrIEOmYZHFbCLIJjoX+GcxAjUjdsjD8ut9/WioMkYJJkUXfyPeaMXdI57ZCU4TD1RHghUHHDPFFaz1eWV2fFx/nksXD/GHAv3CrFEVgU0xs9gSlSj0iJjAfH+wpP5jKYm2Ey0+43Xo1aIZeNPBMUjrHaBJULwY0x6mIFsMnNOmdNMojOQKm7OPnr44Nr1qoCLrfKeOrINY1kyLqUOJnn8xYRd+EbsfhKKEQHBWtq5IMs+dq/22JxtfcBa1axc4wyemFGZF8xkMYICJTl8EkO4nSJmIkNqrOraCEHJpoAj1bIGEMY1bY1VfZOiklN6puFwl6mCkR9k1onWSOGE6J9GwBJbrEgzKXht+cfFiz3GH464tdhmA9xo5KG98ie+oJ6kLcJtqPXlSSP16k7SEqNaEdDRoJ2R3imfixdpxUOwfRHNr0nUKKIRon0Wm6KDSde8UtF2ghzi7RRVJEqQ3ZEGFEGucCeigEPqoI5rGIvWZ95xLxGvc3mIxbGuXWtCJ3LaA55QSmdZ3nBgfXpwMDldE/M0lIz9ubLh+V5jwLLse7t7mJKuruLugQt8pRE8sbSxsfnixYuzZ84M8VfNYTykBy2qmqIOiRUtvAqQGl/tYx51gOpXmLDDoOZKOx+x9zEg9SWKTedqVV6SoLFQrlERHpGnl/rpGT+Srj8cTCxtqhlGP6dTOIShr542WZtr67m2XrQGc6xNPsvlZHxy8gyWn9MnDXNsUf4Q8x6vwx9oMpvp3eSodfWhVNCpa2ZitfIMPzbFAvtEkcTIRCqkYo78c2gC4A1khbRo4gqj9F++qK2O160YtQIQj2kf4xoNflJKW0SR88IdGrkImVgbJc6ra1UhHg3Gcc6w45Y4UojZADkgqZZRovWZd/yWEDF8/umnWFighnsLwyyEtBguFuZmTw5tTGf1i2AlLZiWGJS5Sg6yux6YmE8//fQZ3pl9+dIlvNuxK4Yvjzg/eHB/a3MTy5LJ2dcv7ZrGBMu0f4mn3wlNWuNgGkxFR2EWTcAGuYOD/ZXiy5cCjQrAQN4dCHN3bFIC2MjunWH6kpwLqYdl7DYM8NIJbsFVWowKP/D3G6X23IZu3wyt1r4AqsduitPG5WrHFSNIDFQPsOhAK4IG8CJ4udQBW7nAa1fsUq3XcpwoUoBDh2xuKMIfInjmfJk+2JkU0UAbq21mga1FHaBd6YdsCL9ovyjjtbh+13I6ljc6m92YNzUZuWaCRHLL5SeFazJbAJmQhpZ48wUq2RM+06XWQR/bWmsMd5GhuKQ3ww/N9AQ/uDFEm6JEmrqQ4U2dk0IvjIU96Q7bAD7uxleJGhFnGxQR/uRD0+SCZ95Xjo5xra9ZJDl4+Prg8BALN+QE4vwW6y7gnqLXYrxcSW5MDg/mG1RTY24IVA9AqIRa0+nOzqu7d+/iat+tW7fw6pvhHK9du/6Qn9/i2hyI559yMP+ma7oG0VTTsBZuQCxmSBaLfuHBsjCv7UgAlSSJp8HbgBrlAWajtD6DxwcaK3hL6mFGdTI9OlkyH7iwdLKiHzylHmu1dJlYvOJ4WLU2DIjTyHbtpyHTP2OkqgFJGdILVdOJpO910vH0FSwyj1bbaLeAy17RxQAI+ZFrbRgg8ydSxMpjNnJjXYTbWss+uOXtuaJybz5hmPlktMnYCyUSdcu7hWOlWAtKWIx2TJ2qfVPq1OpJgbTQpsUDp89ofqW4op4pGGKWPdVFTQYgUCZqtI2A6REKnnn38jWJx4kePngQL9ygxZkEhhlTN8FXI+gZdc1emR7N8JwvuU/1rfmDEwKVr24yJ0bUqCYof/f16+fPn2P5e0ytDJl81QSaRjr9hfq9evXK40e4M2teW5SnGCNAkjf+xs4ecyZRoMaDbRGRTGFmTyhMKLVjxhxGpJhtfeRSeJo3tuMSSXPeXUJb969RYXnPAXf9UpFUP/okxgM07acPibzOsKqRKjCj+UL42V5D/cb/i2WygmctsUWegYNsUX5wGLVqauxB+QgH9Zjc6cii42CGaZchhOLjEWgOgLC8jaeWnLQn8sbmDLAxpqpP54SakgzQlI3/g+kO6+Y+OeO0DaQfA4657mCSNkc9geJrj37qIeP18yHzh48JuDAXBCGp7FOei0i/fescixdu+OjGzVvFU6aNOzuAQWakE7l1m7yGCXtY7SoU8jq84r+DIkEjnA+yXdpqI7H+AmuhIl2bc+C1KazsgEXIXr58icuHwica2RXIRtxIWaPsgdupuE2MQdJi2W+5AKzRm9CLCCWS0gmtXPNbykVW9kDR6Pep8aYNk2NQh2J6d/24qjFW4sWn7Y//ZnkFBUJy2HCZAAyy+GC4ieEIykorXHPqEq6lFORH4qm2aFY3n+NXhPmLUhEb27Cj7Dd6qB0xIkOHUVaCF6aSozXxBHw5K0ndcuZve4BTxKDBN8mjz4ABQqyGpmI2+Ytd2OIlYm9zq7WO29r2pEKDsmkn4gL4d++06EK5k1n/eORoULfnWjBUyZV6z3t4V3ChdY518+atDz/68DPvfMbYVfLEWFjz3ncAjpOYn1WgkCiCpnxsGUF17UHawAXEHso3yPGtYeuDNZT+xksDnz59srq6hndj62jbFCXM8I/dpkw5B6/TefDgAaZZvFYnQsiOu2CCPGVRrmsyfFTG9UqlrRGQlzkkKTh07iFoHJlI+/gmKxgD/fKmfSpFjYu/Vr0p1imnbDEBhcfS56aZUOkUj+/TgukeDpLkuampBETXrAG9psWUtqLhJoYjFLgqT5GJDguKzSLLc2CvVGDqj9PpipwtNDdOeM0jLoqO6yUjxeiQGqDpd5IMygMrwUEgljvAiIafzCx8U+KagMkE20SW4ZYvWTB5MNZN7/natqclNuH7Z/OGfGcNpaKXMCTjlxRQCPn/WH81evYKJ05PqluSuQtjUeQ2IBHp1xygO2TESdEvzbGoc01xwebBwwfXZR2BSvLMc1hI/WZLvDG21Q+UoixnaAw9NC4a3+237b3leRse9n/y5AlUr169VryMZ9HZzpA+hDuzH9/9+M7tO0yZkGg8Z3ievhhDA78QBZ2+DIQSdanrg8ODldVVYcsjvgm7Dbr9rjMp/tZXehLVkokKKbBRFgjTNSoERkrou/0VNFQ/DGQ6uza0BvqbyciGa6HExhqUFEcTY9A2VaSYw2qi8QxWsyFVGOhPxm/RYlr36T9re/GrcKGXCPUv7nzSzZRbM0HwmtvL1vhKQewtOftdZS458FRp5oW4LbWy0MhbIOladvyyufY730BbLVmIxncesyGazPBcYPLEfShmw9ACMDHHWpnNeH0s/K3iNQH2Alduzp49h+excMewQ2xpWtDzqu3a5Hg2X214TueyHCa3fGn+RNp+hG+JNc3bUjxxaRxXrbDHbwTtj1KbjNI5sJc9zzU0hLSGHdM4zLEePXrEy2QY5vJVj9kwksgw0xcuKQUooRpkWf6UeXhwuE4/hJSBcQiqMyEDQG/fMyQoG/VOD1Hx9BVe4Jtfk7yMLttjczyhzB2nB8hwFaHRjjPuuMT+9q4jx1bjpglXNjilmMN853ceZ5pVPUclk1WxrZCaJoTUoiaamqaoINHUacvpD4b+pbQVhYYdnBW1IDKvclF+xWEWs0I3IQI4GsYl9paW/U7Iv8GsmEWiLdkxzASFNCTy1TQToFa39/0+wqyrJowl2kQck5QLKB3Wn61X3vcImNx8DCRF/xi/K5wdHa/g5+Rx9aH01NbW8dHRi+qFGwQY4UjOXYzZ/Nf6dG9vQufp5kaY0ngMTfrCfz4yWU2tcg5Vm1fxwH/27Nne/t6Vy1fkVl1ZPVlqTrfaSDyhKPSWtP3GEhXrdItQH8ZSVXcKT9WRinVKwCr4uMZcoUz8vSbteE8m+NnplStXJKdf1efs23j2nLILbHJGNcFzVNJ8rG3fI5uX/fZrE0JaR5rOar7dAteEOlV+ibT4ThJe80gojGYwgV2V5XyvEo+Exrhf5rcapPlDw5qfj2bIH2Lb0iStqChEfIcetthmeOtD5IChXkIYj3rJSjkGlr2cWFzYMS7Ag2GtJbYMNGsmLsocRxFquknDGr3EG7jahoQ36BsHmloZa142AaY2WQorVVKRl4YUFwL+hnlN9LvHtJ0o2U1zzehKI6JCrjCJu+xN98UapCtHR5i/JBHswg2vkqW5TDRPRC1XmsvfnBwfzN0Ei6mb1gMVbjXUYKTt92k6KcMU0PkcbwbEklRYCezWzVu9Z1cKL5iAlehLIJCpH5WMEhcuXMA7DXd2Xkb5OIT7nQPaRPFyhAwych3KJ08EmEPSBVzw0xupqB3C7F77HrU4aTHj/NwxrOMVNFg64Xhphv186RgIsnTCMtZQwPPKczO7Eh9zOIV8jYOfoEffuddLSKWoAPJWi6iaRt5odKL2lIYdZjDXStO2FpA7YIJlexL1Cg2OtI5ug5nVMSMJe5kL94AQ8BPufnWBNvtgBjSF9vloZjohcKqQFlpYrtYAhd+SsCdDOqfzqGXNC1d79Ea+LSclF1lF5PVjiqjp8P9ubSgCbh4SKlV0vGGIR8OIc6uPqQMTrI8s9Afwp5obfQMm/qBP1oQh75VyFYTNp0mI18fKzrFw6+rlzg5WkmwqFnIQNT+UBUkpQvRXp3sHc3qURxTZC8Nf1bvCqmIugQWc8FpALG2FNwniMfOcWGu+0Hbk0Uy59qUuWtVVAHOsw8NZeo7FQhIclZeEP8WJiloPwZNpm9bvXLBtrIywv7/fXBIM1QStJNUyWqGUEDOYaDwyo5L1qHAHEAQwo1o+WZV5FWZUSWSpHXU5KdM1E/GkaRao8jAlJlr3Xa38mMuPPh+S3jQ6bCKMXGvN/HQDCuSkHaXOI3L+Jh+oYXTa/JbTSbGfMLPHPXTiqf0XtJmG7OuAfd4ERpv9lqMF7G0NgLpXjUyfYk9blVVPuUq+Rig0nQqPoMC2fqgKuBaYPdVCiMKHWk01LN6ADHN2LrBFF/q6Cqin2beqogrwD2EcA402Ia+Ioo9Pjw1zrOX8GqRYpenR48d49LsTsjBpVr+tAPHCdGM0neXJMjp2qwsQgO+dmCSFd3d37929i4ust2/fOX36NGTqYdkFIqE8hHZEnqkmjZcyL168mJtjQQ2Y2NQuH01QNbiCK+nKve8C0yaynOjWhHDxD5PCpNEk1aRkfabFxIzKLe+JxT35yXS7wie9MrnihGititd+bdqS/t+EyQ8tcFdN42gVoFg4lPdplB+3XD4F1J7JOpJfEKw5owmZ6BRmGYYPufv9D5WGQ6k6lkZywNZRO0O3jYDvAGTVKMZhOdKcNiQur5GukakyxkLGAXQvaXBKw5gZ11o9r6RkhgydxV3oOdWYQiXx/MwAwi8YkKaQ1uHK/MaIi5u8l2REoWdbjVDCwzzVJIVQmY74rA9ZaVAER32AHhik0+GIW+F9hTCEe2cff/zxnTt3uo5x0JV11rjGiDLTlh3vrQ8nk9oJHPxn9wN1C9P+zUtbPcGrAPGKa1+6ACvRh7CYrDcsknWN1XHBHAvP2k8mO1ja1OV6KcD6EeBhpoVUqwvUqmr7laHCI4TMij1yYZKpUlYLv1ArOsK6CXM0D2r2whKTFyzvifQQ1MCIAnWtrAAlPJDOAkDqAijyRhgcqsVQKXsUyUuF+pmSk9V/uwWoQM/9sbjUtPx2WyGxJGb4wiM/6oCPDpMGSzKlsiSYzaxpq94ZhOyIrd4WjeWh+taBmu+oWQcOoObeJJUauiTT4MQTEakJKpP/Xc+lSeth202K9MnMtSyZUXkuGPCGx2mjY48CbLbDbICrQM9yFDvbgGIHbH7aj365hbUbcAf2+vXrD3XhhrwB058pkhAiF3DHJDlmRRhLkw7XYMR92OoUBzzh9OjxI/zk7cbNm0lFZFJ3Ns3ANDKuhYhst0Mg5BpsDgg/Y3z85DFK83Msim8uAuSF3Ugu0edtcfgtwpVscfnq3LlzIUDiqBOm6MMvPDvlsOilfukF0yupOqi2VA+2OUitBTOU8ug0yrAKi8ITCY2A5rTyyQksMH8xJwIzhW0NLAkke3zC42QF8a8ItT4TWsUsrSIj1VpTRbRsoRl7bblYsW53sJkWTedaY6N8c4BdsKwDIfYb4BEabDuKCNHYBRXjBhWiCliG/saIhNuwa8phbgGwdM4W6z64n67hFsn0Um8NmW3igTHblpBp/dAxoBWRkXIn18BMx4PCHAtPf2PhBlocy77XBdjGC9uYQNw4G0YS7ao8x8K1iePqK1jqE2yVYVUSTylhEQQc3rgerxrKLqggV0YbWyddnZIqNXGq08LvGYVzbo4FGIoA14J6IYbqWlCWB9RrqO7t7eXuDzahyxGga1RY4VM7A+bl0fKeTUTOKcNmlNqze8NqRcCGgDhj3CnQYqko7CBOpntKqRJsUb1cClWffBHpx6vQBTN3rhkc7fAWYVf3KfCtwa8H5WqSuqLur8jJE009LEnihUAaTcXtBlEnbX0wRuSL96HZ8CjG9r2Py/oft7UWjxN1ZnYF1oyaPQM27GtgGyVvO4OHJBNLcg4u0DnQemTotYWl0otsnXlhrYRyYjKqSleQCmC0IZAUhQXNsXjtBnoiyjnAqc2tzdnskK5bnD8XeBELRnp0yDWWvZ20OcVrnk8l1NqyyrDQRnU+fvQIEywsJYAHlXCIj2zCOsmdYDtdHkuiWEP6DanKGaGoXL12FYu8Qyl6lTJ3CIMKTK6obGzVeqeEONToZA4Dd1rX19fc6O5KSimCRWSxx/Ke3kv9cIzf97m6KWEkygxboCQK+2e1wmpbEhuQbyWApgVhOyA0+lhfsmoXlDRdCaZeFBRVphLz7YjZ2EqQR+TQb4Il8exRIxFzP/jAZNhgahXJ9z9E31xewIrekQPgJz5kiUrkssVvvkAIydBFwy+3NJqIdKQyvDE0DPbhQKMwbaJrnAmRE7C11zNCoOgIEbPxi0qqD4W79QFtCf294wm7zhbNsegxv6613IJOazfMjo5WZI7lagLmcBELl1Ww9NHpU/RgeKetEISNyf5uZhGsVhMMmz6pPH36FFdZsHonlhoXnGykGgULii2xjf80KLmIO7P379+His6xUNvNCu8KWzLplcFQju0nn3zCy6J60sUkL5hOa6bz+D2d4C/lE7zYO4x7eFTESxSKNhFOFPbPAprpAxbDdvD+hsRx4Izef00QzCnMMm58+y7UhEthgeTLK07DwlvLiBvVGETqfzSB4Oinh2VqEvaj6groR15LByV86LHQ1QGvcdD9Jvmk6WpxSSituohcDCKuHsgNcYWHXrQvGrbw6bwR7CK2Ai6KxBknw+ThQjT4Nok5FSrrt1KDRCrctxoOqHBVYJwUTyiCFk18wBFt8AfnpN/93f8FL7mTnFH2qGuyPMZGjsg2mWN2tXp0tET3YeOawMINr3Ze4QJGD5tAkz8CIt31yfGhtwhWVNp6iBCbEHCwYQKX2fDymdPbp2/fub26tmp8sBWjNeQSKRvcj7h5pkp750nzaqk17hbSpHBb8/jk+NGjh3FNhAwsbJg7+MjCBm0M4cVPL3X5q6QRzKj4t360GBU+kME1quU5lk7g1RMmNLsaqeUG9g1h5BWqu1wU4LkDqRMf2JX1ShEL/tPLdLteIEklIGML6owPqY9zkQaAj2p3oqUgUFOcZqIW9A3IDW5nhQlW5HjkDWIFgebGbYnqwg8mxHy0ptY4OaPYUOqaUHIp/EYQfKFGoUK1JHorhrgyznq1wbgy3Mo+XYkhSsXRSHwblggX9cB7cUZbvPKXcZGFanekIrCk0brWKKSbn6QttP5kPjK5OakPJMaYGCfFExyltw8++PN//I/+h//wZ3/2rW99My3RN1fG6E7aoRdGlRyRDT5Np7w+1nHyHMjvdXnYdeEGMZOcYy1PZ0fRQ+7NqkrmuBGKKgUmdl7tYP0FTKpu3749ZGkrjSfqtWUypKJdElRr2gvk1G33BGMnttTGp5PzvOGHnIeHh2Uj0icUi7ws9AAAIABJREFUuCxcXwq2JEwBnmBufbB/gEVo6cDb8BAVzahoAYUZ9ijBjMpMp05oeU9P1iQNKsM2S/vncPSkl/YA4d4hPZ21XV1Q90B1UEvLtMYe5gieN5pm9dDPq4Aj+cIrPkNKKec1qkoEB6ISqJyOmmsmciqLyh/czqK263tU5Ez1yd06jhW3qf41AlxwqN18umU1at2NjZywla1VHmEm1CKcSCEqfTOHdoSlfmY8IVqy4dt8OgW3E3NpiJ1UcsLigxnkaEzizbowoqEUgagy5TAlmM4DSxpDTSWID7RHDkNpTeCofcMA981vfvOf/e4/xctYkP7aH/zrcS9iMSu6JV/YUMofqhVsoRdZPXpfYWp9LDTIW7du36V1pMpmQ2SpBmoCNm4uZ0k4uX2oao68DqKe2MqYYmmrB/fv43GrW7dvy9JWSYwemSDczdMKG8yfYAnZ6xYamwgD63neunULF0FfvHgRFcWHjNapZmKE3DHfMcQ9YjwcBhGaUfHVKXuNip6jMpMqXjA9BxPli8ujE5aGQbAVjRRi8oGwbVGUoAbZ2KQBJwjb9uyacTknRAYsxE2TCIvqj8Rd9Zjs69qn9Sh1kuKc2qpTIqlCVBRkYBwUxyUouj03PIMlnHP6CAIEOBSSpEOKPe9zWovKZ6udwU+wvBwT5lOdwcCXpDpj+go92khn+qGCtWi/qRvAE59UqPCmjjBs9GiI/mBjGhW7ov70wKzyGAbcb/VxoAartD0hWxHSuHhGaKqjNyShY5j4V//q93//934PJ36xhkdqvvXNb/7ar/+6Z3zMpHOEUE3crQ/2u9pg7neFuD1048YNPIKNfX3QD7Hy9yefHD379PjVqzlWLl1ZmWxtrV64cP3a8dysM+ox46rgUYtokyeZDoIrKk+fPMXSVliQHdeu+jVhz3AiaUaeXp1D4LSL+P1DGiwaieAnDHtZkMEjWc+fP8c8kl7CzUA5XbHSNxTJdkILpuNO5eXrF/mWHx6mWqY1Puur3/OlmbSEq0LRVM/lOFhIyAGJUtuyPYWyXUkOqJFvkdn/ZMAaKnFGSkurFfworTJKN0Sx2WYYVPFQio6kCPIFmaZWa47C0hRV2LfqpASsI4aeIml+SukN5fkPuTMfiaLsibAEgfeSBLG+na/CJ7XhZBNZrjCbktOdDLIYSuSuv9fosoqJgn4MEkDds2ydiCb1TCJj/3fHM/XZQ3G4CjUbrhDygFygTRNymNwPbm/WWIAO1B7RMBXidNUB27j42Qh7EFisP8ANna9+9Sv/9o/+DZquaiH9B3/wr3/pl38Zb2jRzCEJ4wt3aG+AS0arj53Z2sqqe+bdIWAqc/7CeVq44fp1l5tKYQGqV3/94eEHHyz98Edrr16t4VlnsJ1OsXbk0XSyu7z0w3e27q3fPPMLv3Dx3XeXMeviDVXCPpQcwbXAp0+erPLSVlCCIeyhOLitCYV4X4ns1TYhSNuSfYzIx/acWu5GJg7nzp3HaxNxu/Dq1Wu4rMXLuMsf2AlsJkwPmJahE5rUxdHTUVX4uR+V45Xgr16+3ljb2lw9LXMTatUFr5KgbZk2FKNPs+AD+JpuSFYG9m3riAQAyDohsCXJbzcOJIs1UxgSYdJgbFP/UjFGkP2QtC1usyByImV11Gz/BEFxLIBcCeszhUpOS/OTnH2Q/uzbNNHBYAgfy1NIKbWkvjSNZNGgTKGRjVcTWxT8uZQSt72AMyDXdVOgrooD5GnYYXUXCD62vgyAdqoLcywA5ohL2Clf3JC9o1KbCpDblSrFMfag5ZRj67lBdiFsfCjagJipwXayCQnMrv75P/9n//Hb326W3b9/71vf/Mav/frnm0WtOaEv5IjxBZp03a075WIQhE/uOtbm5ubs8BDXVHILTmJdlRd/9dezr//7Ux99fBo3lIQtVdkEF/Rw+QNzrPWTyf5f756e/GDnL3/w+NrVS1/84rWf+Gzr6QoTiyePn8Dlq9euyd9devqkSLBT1ae91qg7ASCbDu7HTc6DLAUBse50pIq842SSkavO06ura3jDDy4mra2t42boip2SZmCJaE0o4AQtnaCrJ4AL/qSdrFKbmkxwa3JvbxfvTVIrUkc1yKpSmSBkrs7WZlAGJG5yXqQqMWAMXNbrXFodCr/RtFtR2BPMckmVM6wfaf06C/pIAddtXQNN24tzxX4OVvJFp46pw08iF0B8Ww6lV2r5P/vP/ws7O68EgPUCt0qQQAxwjMhtOShxB9ZnsU57qwVdSXNDchouhf6/1LpGg8Dp3mm3pLJWi3oSc/aa5ThlXCJ/wuMiVPfCcWvQnJrtyUN8wp6rxbjUnWOgIZhBlhywGWo8/ichl88CSxQen5zQuRZsvYrx2hUK6JOHaZa0TN2aCpKDBQL+x3/8j374wx/kBLCk+Pvvf1FmBjkZ5HN/4R33DuRwiIwjTU/gXeKExzpBcP2cgnmv6GR5afXoGD3QEjFl6xsb8lQQViL1xCk5Ozj45I//ZPNrf3j26ScbJ3Ncr1uZ4p2DtLa7fpDkNO2XsRjSq1fPvvu9Jy9fnrtzJzdvwM3WJ0+eYKmIS5cv4VFr08vYNor8t/KhiNpzM0wR0Q6HPpbpgEQA/+0WtmIJdK0BYEA0UYMNAEiePr2Nx5cfPqRfG2xtbTVEgowkssyosGY6raFA8yq09iU8RIUX0dAHFWU7y6OHD5dXlrG+fADKB0nkpljnHOBSNGg6JCaqEOzsSVRoj/8cVVWXw5ogq0plYlRk6wnak92EhlhJNTNpbDV7p80R4j/LmnqVbqfEBAwlNHjZThhZSOm15/nISBe2yJwqFlSSRbguLhMsGYiTMsnMMr2kSpzp+yBlPigTkmGI9p6wpMOGH2M3jpM9zQO1o0FDsS2DOPu8U/JyypYSlZfW6U5dLiW0pOG2QafMteeZiLYLJiQCZ4SenDipK5N8x5pJmEhnRc3AxCstW5dLE0P5h47MEyw7HEnlDAo+gtJjIP7Rj370u//0n8gy3DknXu3s4JVzeLtfJIAAyaDk9RfTyiLJ4BBe2g/cj6MciPY/oDnWLDHHwkUUPL+PO57+lOhwd+/FV7964c++vTU7oqkV5lV2asWNjCdWrqrciXB5Pt9/8PCjjz489+67mL35dFEXMIQ1AhC6s2fPNqen0QQLuoidHd59JD9tA6cRTCQIRDaPMjUtHPpYo6SBWdnqcClra+sU5pR4i9HR0QwXFFv4AJh+63eMhdJ5RkU3/pIzKnUEZxf8KvPipUvl3w3Uc1bkugSAJRoQT4RapyHGcRKnrRVcZCjOBNwu3wqoAg65I2zoC3khm4+MHBFDQvO7J6AbfBgNyIQkaRKAieATKZXM0hDEAxmZsVSRHnETNOmX9cjEJ/UpEOsxwRL3C5ilIp+fyrGfdKIj+vY/S1J0uaJUtk+CegJvpJxk0AfV6hBnb5NK0xMdSsKWxv6JvE8lQiEByrLNSxTG3Fci68lByUBRP0lClchJ3TDTD9DwWJiplIk0sSRP7AbLaCfN827IqNsRsDspfOc73/kn//P/tLOz06qFGdj7X/oSLt2YZsIKxqNkoxHB5D40BsrSX8LsEY54jnVEN47CsJw6dRqnYbzUhcM1nR3sv/jKVy9+/wfrxye4w0SXpmR2hbqBw3S5SoYEU3tA4/vqON0TSRwcvXj50YcfXf3Zn11ZNY9kPcfE6tkzzKvwehb/MpXvVTjBMpGCLZ5jJQPH9nwITss5TLJJAhB282WRxy2Oyv384WkBrKlEXL7CahQIC1QeP36Mh9L8aRZfmsKcWK9RgSiuTi1NcakXCe8aVZLzq1evPnn69ObNm7pSa1JMMus5F0CSRYzM0yw7JkNMzGEvW1KxNRO61Pbo5EKQrfL1AoRMGzUlm25o23Ym1sWRrLDVFjFRbRW2SlXfggxRDkgzGsgJPxw9uMcfOvnLRkKU6QIqaoQ8bpQtIUHGHob6baFjAQb+dOl6Basbjcg2x1ECZcJlBSSm1Fq6GQjcSR1g4V9cnFi2v+VOifTO0+kHcRbe4oA0G0kH6La40kuKx2K2JjJ3O2OPvjhJbd1+aog0YWu0WAb2oo+viqJM1/WlXJq8YQ8Em5F5EDD+OEmkMPfCyfvo+Ch39g2kuxwAmVp2xfb1r/+7//1/+xetixUJ0uvXrzAjeffd99gvD12Om3tPpDWJMPHI3irYWQA34fDMO07QWjfEdDrB3br79+6dOXsWtfbp1/7wwnc+2Dg+WZnjVhPfEFxeXlrBFbCV6Qo+eB0DJl0cVMwF6TIK73n8xZhyQhU/P3y5c/fZ09s/8zNY1xSvuzm9vY0LV3yRrBkazuH1frj2RcC5RsN9se2RQd5IjpuY7ohnaSNBqGNfkupVVoPMD7nTe7JxBZFumC5PHj95eHh4sLa1gnWoyJn5Mt6U7N/1o7EAbMXlDG2sefHkMb1tGo+4dXKNhSmcnbQK4aHYcsMgyiwH5LHAxS6jLagSDVVtIc4d2KZC2pAqRCBZJIoUaFHO1GNStzWTKDE0cyuIi31mL4R4D79Yx550cGg/BIgmaYuZe2ffk4Q0iNTokxJtmcIKUgKl++Oj404TrFoClqXIGy1rlULIYYucofxxNmtJDKAmcfocikwXQCxhS9RWvRY0jfhUrFpTKpVD5sYLScIC6MAGNuJFFSItmBq0dZSLu+5cnAqaYsPfF4RNETimiLETdse+EKxzpj2IAqvnm3Ym1RJATs6xcOn4hz/8Aa4Z4Pd0K8t0oWVrcxPzAKxFgD/98SdBqwXcCPvbX/wiPb3ULYitwCRAIauqxio0OwMhWJ5jYWEFBIZqSOoTKVw7wUWUIzzP/vV/v3l4uDKn5brpEStMrdbWljY28Jmur03XVrEsLL19DsrcJbniiSw9+Y7freFmLzr8fP4J4OYnV2/euHLlKj/jZY2lKEMe2YVRAgwhI3sfADm6cdT8wqo01AW5SrqLEJAhXgDHXxRLeImfvUa1srJ69vQ5zIGfPX228+IV5qaoJMxKE2EBcoM2L3jx5MXLl8tLS5cuX9461ecFkabjcn0I/y4es7esQJ5zxZi9fFGboZrug1zk0Rrqona2kMm6UrJinXK5fVOMJPMVavziQl+wUE9IIi+MtrqjtUNG8emyCW0eN2gmnv4EYyLwa02IHIWjQkfERFJsNM1gnDdX0RlzyI7arRjz+InFpt3YkFGOs6uP2y1UQ0EwNZeCc3VG6qQq6IwGJP7AokH02vR4NpxDqbocxY7UALcuaWLGJQZ3O8ekS0o7fxelKlnQjkKCn87t7r7G3Rm8RRgPBj09eIJz2PkLF3/rt//+b//238eCkPid4Le+9S38YBDzrZwN3En8kz/+43/wD3+n4wCVw2vk08mo6+hHIHY6RU4Lt4ghrd1weIS3FspNPTGMOdCpjc3Df/fVjf0DvFeZfjOIDWf3jfWlTcyu1qeYSi4tneDHCBi0Dg7nh/jMpse8Xjw3B/BFoPGKHkxPX8wOlybzZ9/6s9UvfKHhWDJDW1Rc6jcMpI1LsdSgY8FcHLgi010/TEH1rIobfrgH61fDZILlG/Tnfmhj+MkFAooRETNg3MyFnwivxAR7FB0dY2GyV8jf2FjveskqGzWOiNLOirkJFYmQUmv1WIEa8ILdZJFgD0SGuoADTQB9WwPBfSi1IicGsdu02FTpkIMaAS57hAF6fHDbAGLkxPnGZmU7urhFxVaU/mzTtCvmFPKjIhFo7uuvYIk5JWiGTbEkJ20xWWk4otJZyxqucTSuALVNcykMMPYUaB0g3+SjksmEqQGVFv2kaK9ME+MuurZ/kg7RYW7AqXWpi62kLBtlqyaElNF34/rRtgwkqizvwy72Bff10EIWcQXLmiDaSOPk9ODB/bX1dfyoCu8Sxm0+/IYLd2fwFPDOzssXzz/F21rwTMznfuqn3v/iF7/0pS/deecdvEsOjxCBm4Vy37itBik849KjmTiUfIoYt1UemhvVCoOIvK2ebJ+DrPc8ljP/+oPvnvn2f1w7OqGn2vna1TJmV6e3Vk6fXt7epv3m5tL66nQZ64ryuI0zPQKKDSd6unCFhRvmjw4x+To5i2cCppO9/f2DzY3r73zG2cikAAG6dKlGzgYsxlFFdrDR/LEmLhlDhWyYgXHsCzJdi2glKrzLbwmv9jumqRVd+jO3/HDlCiFb5qunOVhMttAycWEVG/zGryv2cZ1qH3HdR4MEW1QTLnFhoQ204c3NrXHJC1ocE64gaXIQ8LecF8l8KCI/Bk+KdswUZG4ndVVpPSI7nj9JswulDXDmMmwmJBDsiu8QDdvUd+piknQ+lSkBQ0ltVcJ+4ROWyaAN1rTxgapyVvuufAXLTB94/KS40H/ZWWTOsQcDvmtxauUcFRd3OlfLxmc7gaKoUao7sGhoiJzFsVLt0NyUDXN1orIFj9rWw+iFR13C4VURqoQ8sfVjUOTk1gWygyz+FsdK3jKEdVArinKTI7cwA9jb3X327JPr12/Qw9eYDRwfabODUTx/LUh4IPtTrFd+coycv/Urv4IPlhX47nc/+Maf/ukHf/7n/kNauHLwJ3/8b//B7/zOqJXp+dMcEl0NmaFSmlvHKidxvo6FXwmuIuI4PD46mn/nO3i7DuY4qHTa8MTV+try5tby9umVU6eX1tcx7YLYZGUfk01Mhyd4CSEOcYC5FQJKsZ5fWl7BBGsPay6czNfnJ3/1p9/4m++/X5hG0PjAozPmCgQCu14AEkkpX0zE2Tg70sYiQYyz5Ml0W4oT5hRv9LOHdBIy1WayWnxVRSRwBQubnxOlKZJ9aUdQ/iEwibYM0eBrbXSg7sOFaQFn1qPgeegMmo6J+KOuWI885ZakaKTBW1RbihUZcvW8tIJQT9DKhtLGpBN4C2Nb3I+51bbflrp6RA7hcjqPLeSdDtlWI/VN0rrJLULWpTxNIE3W2KKYtcZJ7E1tfW1ylySS+Pt2CU/FYnOx6Qea0PKDRSZG3UJ7XGcy9sKKtOFCUx6VSRMs5BaXg6YLdlxojo0/ODJBJJecVsYAsmvAMzZbsvEUFLNqESsUW6eIvXjAFUVuPXrwAJeabtu1FQ5nh1hTOwmFl/NOzlMJ7iRimSh09TPb27/yK7+KDx4fxhzrL7//fbz3+eXLl5D5oz/6N3/3y1/e2mxZyihpqD2T57M81rBH2Lkaate2MchJTme4L3h4iDdD48y89+mz9QcPcanFtAdcgFpexm1B3BykOdbW1jJPsCazGbr20mw2xVr2eAKbz778hLoMibhLiAZyQmszzTHHOjn85OmTBw+u3brtSAT+eGcRaYBOrphiu4vpfxRicKwEN7/1M7GOZ1SRDwYTIZpOeWAc/GSqZ0DA65l7qnGSQLyBQUPB4LHwwGMXEwDJuDoQ0VPXmGge5ag/mtsroeAj4TkSiows2/NdqaRQF1qqBEi4bVPhBV3QEvs92mHSI+ONFwUrZofCxDnDD8NUbhFqVBiJw4qUCi7urAbDYKiGiIcY9s0ru1SCK9oUaAfhZkz9BeFIPKSZwknltVAh2moypd8zT+rQYJMRExS0TXGsJ26o1oW5HwghFGLFR7b1mXy0n7CayTaNNDTYdHYpAo9tDzuu8U4ssEtIkob8D/xhD1F0cHCAF8BdvnIF91rIbd5wUQrNErdgzHHqCw9p8c2ZbSDgUS3coMHP3N57772f/4Vf+Hu/8Ruf/exnoY6fyEH1Jz/3OT5pplC65MVdiV2g+oGDlnkDj4WCTqs5DdlGxjH9rnCGLrrzF3+x8cF3V3FHi2xh5dDlpfW1pa3N5VOnVk5trWxuLOMZLDzejmtd2Gazo4OD48PD49khHsmiB7Pm8+P5Ce5a4XM0Pzmaz2cn84P5fG8+37h0+dqdO2aQCWrIsQEkYiueutxiCsLopp1UinhBYQGcbvbZx9Ixu0Jf4Ncky40/TEsr5kzMHBdQcWFvdP4F5oGH0UE44hEr/Oe9L4icRcWcbY0Jzn2JWp3d4Ah5NPYmmGMytwyFuM4fcCi1JBalFC5Z8e7frLsI5qAiJBmcjnLkjEeiwC61emQd5+vBYkgHPD/BJt0twiwFQ62tPOdBfX61BTqX8LQM2Nwv6m1UStZSiaeGlfAJMXuyliJuHVz3tUwSkOWsCuAKkawN7pZ2RxMi+jfSNhpQk08Z2k4SqdohKX24CeLn4G13uFSgF650GnSCFbQzV7B8dUlvnzmDD9KYluG5K9jFKpo/+3M/h89//d/8tz/60Y9kkFLwJkIhh08EVM4epQXhrQUvRyitXs6V61jHDx/harOSQYj5Q2O6bPSoFa67YC6FD0nSE9bmF4OSxh5avPFPCXExjDJePHpYVVVllqlSVASs1TSDlHZLngXHS4G8V9CgmvAQlXfXrwUlU8zgC4oKw9rmkrFP2RQ6rmUKYHUQRXBBYR8OHjjFfUojMBxcoZqJxYJzNcE12BVDTQK9cxbLnMZpbmmcUJLqyxB3HHPghvhkSEbKKV5BYdNqPkogriIc5Q89tKD2u4FnZh3GPomxqPiS1Qph6k7slWAhdP+weNMpUzEJmj05xRxzxwn4RFZOO8ynnkebfMMl+dEA4/UGFcjGHngIXyJeDcl+GQrOlSTszUnUGq1yCU8L3X/wAM9RJW8FYqp0DrcCO26AErT9vT0szol73+vra7imJTDNPh7D23bHMTRjQkYr9hFifFaLIUc5PsT9PtzxpGGP/7MteoD9+AgXqI4PZ7gMiJ8HonnRtatDuXY1Q4QxT+X5Fl3CwpyLV2ogEJl50X4y2X3xAkjly9jsWuxyjWsYZHvr5vBPpng4z3QpOMCPpbvnqHJa/fJHJ29ocKuKwXGsYyYCxzJ9gg6QBYRdA8jEiKsw1PxMQscJcqXVKRGII5OB7pptCDP1rrq+PFcUn2yBGFaTKeJMX2VgWqwsNCw+czE3kLOoKxSRR1YjMmMt01DHttGfTGOwQ7+iEE9zQmvoqFBbgmKa1c4WtKG6cjdeuDw/RV45GTIoRu2Z2pd9G+keIeCB33klnlgc+02+OL/fhmedbRq/WA/uodt4leT7VYX84vnzV69f37p1S7ufqAFUGjxeVFIFlBHa2Ny8eesWCuX+I8jjdiE/Jh8YhC3dvA5FeZ5LXlKlUwlAL2gEBOzR4SFfleKfuoE3HsbCY+xYiAELVays4OeBS1iXAY+2H82O9vaP9veO9w9OZjOagZkZlp1gTeguIX9OoIUp19H+PgdlUQ1SIj4gMnhkDO+tprrimsBlOtzvCyplAHiqIr28xdUpjMAHMBdrFCWJlGd9SHJw2MvGCT4XdnGKOhS56I0TZUiv1EbC1rlXNEKSmeXI5/CtU+wVIyQlNewotV4kBftkKmBX8jljaafQJvMO5qBa83ORaZ9gUciHbJE+9zjT7eg0jI3aaCQ1xKDqIr7hX64jGwnheNqhtqkKF+WXGuma8Am7WVIexdYV9CgJfxhhMbWVpxGVwDzY+L5EAuVD6xSkyC+pJOMXa0q3LIPkSnGx5OGDB/hlO14SkpSRCM5mh8nSrpmYV12/cQNa+HXhgwcPsKDDT/7k57AwN+HY2vIwe8fMYCxgXDLIJ1gmg9dZAEWqXUyw8CPBg4PJyjKKlo6P8KNCZGNl5OODg6O9PZpjHc6OZzjGVSy6ZEXqdBGLZlqYWtEcC6dI6BrSdm7rhWPEJIbX6rMCz6jQoaQ2QJGWTihVDY3dizkrIALmrDYSPgVB/roCZwNN86wRQ+1DiYXqyPuq7WkFV1HJUbc0v2+CKn3R5HNsYRfWiQF3kJxY0jURNgimfyUFe2YqfidWZEw42VadVhfC0ibHJq8WtVpbJliohFLXzwVQdLhb+Z2L3OEii4mBIwcxQr42oRGwfAjGFeLsgHhDZ+oft60rI1sb9G1P0Na7Lr4tPhZgWOscO2U8s6O+6mrCuYdOghru0fXwBhu8UPjGjRvlV+6g79W8oM0RyqSkZ2Fq9fw5LZSFvyUuXbp0OJvxylgJvzIwnbIXcqbHClTz9TXMjbDkAm4F0vUczJKwcMPBAV1LxGqiNNPCu3MmdMmKnnA/pGkWHnKn2RUuYdF0yk6tJnjCHVOrGV6YQ4PLdOvcOeOhqdEOLadbaDJzLP5lI/lk0OgdyXhav+PQx+R11O5ErEoY+P0avbRC2GCGcoKJG59Evh9+BXs2KuGNLVdoJ0Q4zhIPYBPm4iK/UHwPHE5wFfM31ZZUSsL72iwFF4XhgJFhxacKKLClSwVU+yRfT8ICLqhmDREM9ZFX0WGnBmuHELRHDggrFxAW0+MKBiPnag7ZJ+cY1zTXzbhmElRsC0gU5bM6sbLX3EhJFK26/c4bai0B+OKmWWVkW2emntiZETwquIxeih/00UIMt70VAfIKh5gxdNz0RCZ6eJUJHuTC5ALLll68eIlftDfBOltY+oD7NmKwGJcz04iO3lhxBI6JTi9cxDU9zKHoV3CUSbOkE9wixBURLHaFcC1hgXdadQUTLzx9RZev8I0JlvnxIF2+OprQB5eyMLuaTScAxNRtE2/ZC7pS/aUmS7L6mwzRgE2rRPgzqtZrVJUWgE/wgTuVqhViDNuOrw1RaNSTgSR06+UrKHsi3NqH4LNf1Bp5A7LPVGLeHhyPUKfk4vCJs1AZEpy8M8Ic5TCEvR7mNbqVKGAUfGeOTgb9xzqDz3BqqxvFgjSW8yuUytiXFKBY8h+I+CLn2MH+XhLakC1tOZ1bsmOnHCJD+ozRHahkZNSyGmq2soxh2xz9AWRUTm8ETCZwvmva0YbXWadzARa2xq8FsRBDedkFjQpeQbi9fcb2Hs0OE55jUk/Y43LNixfP6f05c3pB8tWr8ct0scj2hQsXCQjqNS0jtFl5hGEoGuwqFUVMRkakaTizQ9rqtWuH0+kqJuVcjMkU7vrhaha+pkfHeEkOVg3HEQoxx8Kz7fJ0Oy5fyfUqml3xHcYjLGEqs6vp5AjX9JaXLjZMO8XxAAAgAElEQVSmvAP5N52lGZW+ggbFxJU+TcnhORSwMc6UNvAxowa+NyRqQ4yVqo8ZYUjjabEkDCvjAzHZPL/KnUaCtjj+4+CHfrmKZt/eAHkE1RltqbAOxcAEeQIXA1JrHQCKosq4svEUwfzC0gRLWpsd6tkvqHKu2/lgHdPDQiTssiapJWFdmPLGFWZORsTGzj3KWm+7tM0rnF7t2MEusXysFB+P79RCLPit0VbXQgxVxoMWYpjP8ci59tBWRbwkBxecTKuz0joqIkNaonzjEDOqly9eYE6xvLKMeZWZQllF/1uuY1HOsDmQj5lMy2BX47KMiQIi8kmt07dv319fX93dRV0iFBwcvMwFKSxTgCeUqIqRyQ/C0/oM9IiVfe6KLlzR5SueWmGPa1dL0308e7W8hLfrXP/sTzRdqOff1CUmdI0KD9BzY0SwaToVP0e1uDMZtw+aayYjmSQcZfqVEhXJoQgw/vhDotAewj/J2WXKeQWNRxKuwBsXURSXOrlyyoQ9gV/Wqy3tiQ8+2Nr8cuAiXEuqVk4rl+GHjszUSMQyV5YhT0MEOauHteRq5NiQsdu3hfh24gmWGTMwdlD7JO/4/9BI+SYl3at9dqCBYXiJVyY0pqX9yYF1S/pYB9CmG28kp8zQDBuoORoMxbeyhg2JVO5iXAADZtQfnZuitEdxShwEoHhHlzTG6AJphkAu4+MHbQ8fPrhw8SLeJ5iGyORiqoQXt6GQhwkzSkSDBYpwExAvw0Ezxm8GL166WHjfi9rBAvGaBiANEwsLUAaffWISXGeQkspSXukE3si4f+fWxve+z1Gn3xIuoXJR01T/0gZoSMKVIvyjJ674kXZ+mH2CCdZMbwtOJwc8uzpcQcCWL7733qnT9Iri5pbh3xSknOaMaumEn6NKi1NuJ/w8TLZkCH7cMHhsRJRNZZkvaqCL62BshGxmPRxYwA2PPBUcOhx1sqj4dS28szcCW6gCrjVXQZ1oqHABvzNjpyAtSMYCbU2uuJjSEQSKOV3Nj1tyEbm+UPHrVXKS9Je038xte8dfjTzC5fTeXL5l1MEiD8N0/uLeRQD9/17Jm/XDlpfqVZLzGSb1fCNjEyTNsJHT6UXgzSuxa+Kd6f1cb2/Xq2wVv3j+4vXu6xs3b4Y/U82Ejdqj2eDb7uvX589f4D4ce4eVf/GGHPzGEKWnTp2+di2+CWhh0t9r4eoPZGIxA6iYB76MhnCDIiUVFvuUphrl3rt3d/sXf+nVD344neFe3xyjEm6wAYkHIT6TcJ+mq0bzydHKxny2Z38qSE+1z/A7Sly4kmtXy0t7K0tLKyvLq6s/+fkvcJwja+ZQ+KcEMHDgE1yjap1RNW0Q8oLjT0a7m8A9Vvzx6U5OUnMpBxh+cdN0bivd+TeZejnUEtW1N1EFI/P3XEGSq8ZUMQzJJpmyD8U7HzGIhquzelFBepYZIspsPddS/TFrRk100srCZQqGxCdcaNQOjtxm7EHG6sDsYsC7mNa6ASEDaq7jLDTowbR0YCxYvemzNE06z8Az/jLJMcwxBg1Go4ElgLL4dqggAWFAe/s/gZTKKjahlELHPLQf7giBmizEgOsi+LVgUKAH/nQKmXAqbIh4LF0zpOviJiAersKVLdzjO3vmLBZqV7D6BKCAEMtLcOPc/semTZq6gh9mDjHQzq1bt09u3PzOt7+9+8EHuDqFh7FwgUguYtHZBRs95UQp/H/2ud/c/s5XcYjbgnpzEHNS3BbcW17axcoOqyt4o/aF937ixmfeLbsK/hQ3LPJAd/1c9HDXr8eMKmFL2mizGSVE+2ZVXaqkeqM64v+404opaKU9CRFV9IK2EUJkuxxBsYc+W07D/0W5sGh8bjzS7xbkgsAuKEQKLs3HuQC/bJY9CfRsYQaTY+Twe4Il1BSzNkTsmri3wieABOhis2A87rDxcYKArRKjzV0pVzcVcAkLbzIrYmgHCaJgL0r548SbpDaOLeMFnRxlo3oTr43vg/2rbfHjODTZ2dnBC5ivX7/uL8RgWyXZIIe0O2aM4gXHKAFzvF5w59UOErhjePnylaqLYRlMZONHhXhCq1Hu/ppvFFVk2JGC6ov/J5yDzxAbXJVw//Zv/eZffvjhmZ1XeEej/KLQXEYXGrQWA7Wlw2//37MlvJCPJ1i0IoO5fIXZ1euV5RlmV2urq1unfv7Lv+FXU+itXKMyM6qVddiZL53geQnTMEPhwUdVc6D+VlApiY6g7bKmURaNm0ofo5azdpIu5KQD1yCkI01OwXbKhbkwYoioKskn2xQ54frdol3IhnBQgfCHa3jmgZzD/F4dHATsKdsYJfqCJzUkqV5YUwEY7OKYiqTKuDB+BosyRxgtGbt9Z9tQUpL5GgmpDFslRTXCWlyIHdNWEk7UpVQJAzrVBk058EWONQcJFXb6/ymkyC/axDcMFrbaEi6K5JD9YoME6jKgoUU9evQI9+Bu3qQl1LnypOq4R1V7gJuAr3Ze4vXPmE/gdYQ3btw0BqoRcoL7+3tnzpxtlqLDd+gOUavkqmsPsdZw03yXnPNXrl7+nX/48F/+y9OHR1jqHnMsmMZ1LGpL/PcHHMFLoNfWtuYvd7DQhf3N4JSeu8K1q+Wlw9VlXLvCm6F/5st/79LVq57xYEZFPQ6/gbEv9Vui3y+iHnCRw9MYNdmtFrqbFnzRoyEe2+jOdGpIvVxgJTMmRgCoHfZpmGuIifTnCH2sQ4l5ZxPsstUy1ZejNHq1Jg1ZMsnCbpmAkg2OgTzzD2qzG1y7tASQu/NC+rPggweZkPMcO6X5PsXEBCvdwH2lQWnpIaERjncQDK6JIKeLUcyT8RPtLhrdZUMP2vRNI+Mvqg0znSp62M1CG4NUedF8SiGZx04RWYGzoPRN9yXscVJ3YCZMjjgUZMjM9/cPnmAhhsuXN+jmXR9/8E6bT589w+3F5ZUV3F6U5deNuZHOW7g/aNZwb7hBPT8XJh7+uPLYL67DPh7m8Btkyhmf+Zu/uPvy5dOvfe3U7GhtPsGDQvQwFrWw+dm1rZvbm0dffP+H3/jG9ecvtv/2F/70u9/bffEcj17t48m2pekRHrtaWV3G+xk///5P/Pwv4JYf3fgzFRbMqJIcSlFKKnTMHB9fTlOm4wGe6s3mdSRXJy4msm2pDqRNyrY+alHm9AUVY7pNub3cRmk0wKZJNiHUm4Uuh7sej5rsstFy5S2pkXpc2srAKIlrgAZOyi+/rS6oIgysC3La0f65dB2KK06dTWElJlipgKRUu+XZbsNDgPAiAEpRHbjibrBp6aLLaZXOuVnGdDaQzZtcZKWt7Fv47sGJfRMHXZUxjgWz38YfF4y34GAPk7blgLdplE+fPsW6ALdv3+mKhlMdnljHi5kBhKsuV/mJdcy0kBNBsSWyGOV3OsQv60rdiKtLzr7GDH2Z4W+QYWE50jQRLvzsl/7OX2xs/vXv/96pvX1cx5I5FoaNz50/8//e+/j0//OVlycnj+HON7/5hf/qv/zD//P/2MFKFlgkAdet8Ajb5ubn/u6Xfupv/fJ86RhLJ+g1qtpIjuRF1pythVJNZZVp6DSFjAOQZsUhT4SaRQqMokKpimUTZII7SFYiW2AdSAnAO9AKgL0RNKXRO89Gjoz1BmlTJGT0OGuLD2BPK00TbUDpclYP8NNy/XOFaq0Jv3HWuab4oOjC0p9vSrOOSUqzLc82HGWeDFQ8waJGbjXbLFSU2/7EHZLbstAZ00YFjUWImL5pPSQT4tW44RsRLRGF1gGG3aOdDHXMpkGpkaGW3kA9DzHBY4KJATnh5ht0hNt5uJd36fLlzc0OT53jMtXTp0+gi/fgnT1z5vz58xoNJHZ3dzHZ8nMkPbzfwW4TVi5oiGtsIl9VCeVuWejZySGmGwoPtT/9a7929vq1b33lKyf37m1gATD8rnB55fX7n5/+X/c+PjnG0uwvJ3iPzv4f/a//4ng6fbK8fPvXp6+/v3z6wo1f+q3fvvHOZ8hiKhg1TMbyArZysa43gXgazl2GTbE7Sl3kIiajQQ8TfkzIN9Pu6UGCePjkjt3DhA1Zjrufz3SG9z0fMkybukYm3JFKDAUGHgmktJMFwBO7FlhpouxdP18Uf6FeCLeuzamTvNaFegSj8QTL7wB94sWtGzvuHdINCWYobB8qi9Ex7cmAOw8XY23xqFRXakXmwXzIFWjKnICRbGQoQjPRqY021Wty6k1I7QFT3DOt1IuAmsPFp93d17du3052GxXTBJYPxbuWwQQ3AfFOwOzj1fN5csF3WKn3Qo36CSz7hEMCwV4qDu55fR1HA0345pLp4V4o7PXbdy79d//99771ze99/euHjx9f3tr8q2//h4f4deHy9AmverWLwWt55e+8996Te/dmd6//jS9//id/8RfX1vB8/NDN96JLS+9g1zcRqVEf5AEUpr3ai6TaDwsmhsD6hgsmfLEojUZoTw+2H6Y6oGiRCWnMEUr+sHOVNS7IweKwzdSggIwV7QIlZ8LGtiA8sCgeQ2QkHQjK6uIFNY9hLb/ARQMVe+Hp+ARU3itvSaqK4IQTrK5t2W+JEmhu3cUmPu4lsoS3hdglpFuypKuIELnlwoenZFt0f9yLqfbgnxnB6I/I0nyxv7f9NYdHUGdUgCL3HBeXiqzgUtCDB/e3T2/TE+ht27Nnzw7w7prJZGNz49r169o8cnq7e7vnL1xIlnrckuXJTGqf0mv3dunOoxDI+YbSUXtHgtKIJlZXV37683/j2s9d/eiD+59+fH/6o7/av3hh9vo1Hqw6mJ+cP3fu1mc/e/n993/z+OTKzZtYmCHBppiVi5KE8c0EiqcW8oQcdUZEj/pggVnRo6gwWRcy7keSvQ+TJiI0Hmd42Of7ZeRilw3SwrmrYr0RibjWeCU//+wHiqYqyWq2BtVEPbdukojtgudYVAuLNCG1vPAab46EcqqA+Y7tM1dBhNP6smenbMdxGc1NY6psiQ5F/7j2s0ZOD2jE7CTokF/iW3a4y/ahkb0ZDY6HAxkT4JpMp/hLPW2a6lG/TZDF52iXkD4iBqUOvc5S5QxWTnj54vm16zeiS1Awoe0Kt/+effLJ7OgIr2O5wFu9i7nn0BnBmcgDysgjLRQemfaJlbQuXEzP2yIoLyBRyWiHfqw6gaL74dkpHr5Fb7pysnX51DuXf/Uzk1+dvLe+/rOvXx0cHOJK4dlzZx9+fPfLn3nn/vY2Xv3sW6mqZl8hk+7tRQbPZZueKH1R/t6UWhmLujNlJtzadFFCDWhUQ9L7AhNsRliglKwZB3sabpoQ8HH3sCJnuRqWUnuIpnAzDuYJmZHXdD8c1RjJwxVKxMQ4c6AMT+NFgcTQIq1xAJkID4WM9QnWjKZsYhFOxS971kpPzzTY2Zjnj90xgla3pBC3edOExHM3a9JI5NzLNL2c+JvOt74Zu3CMPVK3NBESy2SHQt2OyPDCguXNqGikC/tIV2fmDx88xP27m7duJz3Ei2tev36F1oV33F0s3ARMKtvMGS+CZY/ibzjgn6iomIcAE0JyL/LRIGBaePbsuRgufdwwkRYblJtm2YCMXkGD+b5Z3pObbyT+4dHRT9+58/R7f7G3vn7lytWfW107fL5zvLnVtZoj2MJhojoK0vki0xn5C5hM2A010IsrPQ/Vr8R3BLaWprWrjHYwx02X5MXBsCt2wMmLCvBCYyW1khyuXJOU63DCs9rNsJXSXQNsYaYg0mA5wibE+kyzfGpJghE7yNeIRVpVh1rjkJZ0lVq90EJAA/MrqE/5kwbf1LwkVvbbyo4XweoWaU13/m5wtbNFQXIEWNCT9pItRhfYplosp4u5T0jHIAHUXuxbWo/ru97tDEhr9jjhstUIvgQoHip5umGrB62MYgFcAXr8+NG1a9ejJ9AxmuN6CUph8fTp0ziv183dY3w9Xl0r38miSoRR7MkZOGmHgLJvkHNvelZjmQQgF3qWsmaplmzafPO6CSey7gKyogXTY+lQGS94+eH9B9sry1d2j7a2Nu/u7x/j/dCz2Wy1HNIQpeNRv1hJLYopILBf8ZDqE+lnxUdoTZMJHuFxB7y+qRRgyUc7GTADDjtKrVc8LigPKBJHuG8MQCmqSjuUbqi+uMY5hnfOhGkejpAz5PLiFAc/zkwc2xppGAlkaTRAhvGrxr6vzvKLrHQhb6qDaHZlyGy5T1offf5hemxHaCV3IdwYAHq5EbKNj8ZmH+PTsbQ9PRvDi4Znnlo/J/tpeWaHJrm1mEv9rgIrUSP2wIpyKnEWLIbGohs1Ua8aLV/7DTm+3Nuv7+FHfzjr3LnzjprDYgovX7yYHWHB8OXz58+5p6Z8TipdncAYgflAKE4NVRxl8rzr3k0ODw87zfxghkbVfkNV6ED+iGqHFqOCf+Yvdp5RzbGmgldxef1mCQL1cuvUk9e7J08/kdIjPHv1BuZY5EkpXFSD2jYkrB1j+wZqRDoQ3pPTu965qVJPAwJXYaIeyRH5W71ZfyPliCMLasDSGcGUHWmp94EOSRRhMRHHInSNvO8IgYWjisxXhIDsiwbbCqU5hCbadLqVK0mfeTuEUqKQVYTNdtuxWpd9yN1UcgWDdp/erARFEK2HjdJpQ2a43tm4QWe4kz26RINFbQZ7Ju6RijhGLtimUAWU9/kN+FLJFHXHDrJD8DPBOZFV5X5GCKfmRw8fXrx0ES+rgQgewHr96hVOD1ixHZOqxB/6w+YlmLfhFc5yJqawk4dUn7FX3a3ITwgzXqazdcBKF/fOnWK5CO8aFVb8nfSfUSVZTLdwD5d+WIANp3qaYx3OZi2XBkW8554qKKwUaqrSXrlIBHqiWzXUiMxg4vZgBUb5Bnj9ycO4SQ2V7m+YpprqmT43Eau34uvWp6UBD7fCow51R+ujo0AVEda7KxsvRVa6VEqlZYFVYfQU02Jl3KHGNvbW1jBGsaf1DjRJl2D7UjLI0i5KBlrKMMFCRSz8bw7Doq+3nhP/H3vv2iXJbluJdmVVH9my3rJ0Pcv+4v//m67HazyWlz1Xth4eWe6qyrobAMlgRPBNkMHs03lOV0XwAWxsgCAyMirSvIniFg4hkWmjKbbebL8nqeuwm/i4drKQxEuxKLtvE/ymSXFcXT1c+G4SXC0li9z4MAw43LrJske0JA5qbFfw93/wZ3/4078//OEPeMw6vh7rRz/6sTwONDheGnnhVXgfAYmJZMMTfV3gX/7lX9I+JS0iMfSz1GY7N/A1z7Yr8Tu2WBJTpMuHxw9Mh5HGTHzq94xvavauURED/oSs9NyAX/wQX5OzvajGwhPcB9dYEqh0+QeaJftK1G5AFI5MaZILj05NgC/mnN1C7Ryx+I1hYiyrO4/NoCAtHVfLMtJtt9hSC07MFxk8VwSExQgNo20ZocV5E8LJNhuxYkvYWkusT5FtW+i3o0swyak+PuGIMliarahmvoI1fhmwfrisCqUkbZnkJpo3UVGDYIv9ong3Jzr46g4OYimnAMX4kCwU6LUG1I6faj4talEIO124hiCH2sqgFkYYoPzP//kP9/c7vrXmt7/9/3B7OP4WsEwDjUosN0jGABhASNhIf+Wj/XCPV1Rp5ebUdtsysEmqjcEIeQJuvL8/bc/xvOFPSu54BFdoLMvNaolpj7XfTu+9B9VY5EupNmRNsi+3OI7h626n+Bmck8VbooXMtG/qqN0tzn5DWBSthW5RCQHGlpwWNpOYhRsb8MgkJGubnROI2ruclmY3GDOZjZg3jRZOZDEqYu2wzakosXNoJDtDhmrZVkQi9Ue4oD8nqeIrIqegOa0G0CmXyU+RxvswrYWErwN6ZULdnICYdFOjeDIPL7YTChgqggRGtqx5guisbUSUNrO113qSTDUvY2TETh0zCjn4p3/6X//7n/4JgN7f336IP0PjOsPizP8mS6xh7E52Kbegi3rl50kSHkYa+NjxNEwaIIMjJdLtNeODTnzDsddQcUhoufL1HeCOWRC6399vr/L/HY9RwNfX3F+e75/lf3wjTXaFlttSAX0/1NVY++a6M7s82aGyttiV/p46wRaAHq3FpSCYyu5mO+vYKh0N+YWRXCoxNI608P9+p91UqMtEdSQB+bMSx4iEs5bE+LYuiTeAL5wukOSnMbNgJlyOUQ2ucSrOB2e1ouXc3thiE68/nWOXsmWDLb6c/LEETwhDbC7+ipAq+li3ZruvhSEiIEix/HO99VjqZ3SbBfwOcFwYrQ8aSUYKSFo5Bm4J6siYSHMcSKqnwI7UdOmzIUcuJYGM0Id50uJ35uWXjshdkhE5uJ8d/6PcwdMNfvObf36/31+/fPn5z3+BZ1/hr/zeXt9+9OMfoxLCIxsOT8Mib5okLpfjaGmXYvv0KfcnhEdJhcJ///vf/+QnPz1ODp2HsR5NQEbA9xrS1yTjhXjFPemopULyKtpgC9JfoUUVcr2hpsaqueedbaSg5XUKIuzyDDNllE2wBZpICxcGSSye/clDEeUqEJZpjaXWsa4Rv48OADKK7JTIJQI3C5Pk7DrN7F2bfyLuIMYkzfl9esfGQTAosmp8mAKpQTlN5OUf01IrM4HEB1wrdht/TFZ+j1EOW9AqIbd1Kx4JBtrZE+YaffRXhDYgFSEcRJHJhMX+E2R5dAcx3mlwLkXJLdjjzVQ5DCkxS5u6zD/+FRpaigGBYqfb36VTR47jADYK2EYXaSmUHJCpASqQC2Le6MHtUHjhyQs4x7NDcYc7voYZT63ER8yot15fv/zp//7f//7y36ix3t/e8Td6L58//9UPf/j5O/pOYXzPIKekOshf/vtL3YR4evXlAMn5wlgN0R/3T+8fN5MAsW3w0xN6KyofoRwj5XkBfe5XaEGZgKc2pP+ukOyUCDY5mKkqjxuGSbZEdj4FM6wI2cLDinIOZhPFp2SnFfWJMuRpLprCWiwSld+DSItYauK5GvmJnKCEjc/s+FYgopdI4yPo8SVl1QZhxxopRMqyTUxCtl0AkwmnhePblZWTHeBswUg5zk5pGVCWMeQmdz0DJXMJ3g0BjorKvayd6aiakCMcQq+cMsmLllwan5tcfqAuMKQaTtt8dR7g3hJSvFJ3avBx+mYAxcCMV8tWgQKFvpX55z8DRtzIjGc04DttABbPFMUfGP7VX/0VBqAI+8///OOf8SXD/Ekfai9c4sLlrh//5Ce4swrbevZBCd/9oPqb8ihBZNzzCeUgVG9E50iGP+UalQxE1KKiesLXJtf4Nack3A+QCIJyqGEpudbD3xUiLdAM0koW2t85Kbl+0CUB3WtObj4pOu1JQXTGUuoTZx5F84Bjo4gq1xJUXdgosArNScj0DeGwPRol5lgeEpK6umTFZMw5QivWyOElMYYliwNhr3h+9UAt7yQUExmycLyQFoaMpTz53JKQGexytrDCZh8EZVc0Nt66YTS4zMXOp8ZYjo61F0At5wZBmN3kChQGhrDvXQBIuTignCICPe3yMZTXMOdQvCpbIfmtzlDfgD3ejhjYC8qcxRGcJto8beOXTMUX4PyMHn71cxn9X3/6E/7G8O39Daf4dmG0uzviefYn1Fv4qBHHeEo7LnfhkVpYBfgePXybIS56+R8yohI6Icg3EDZvlH8szdB1bvRm4PDjjudRmXoAFyvgCdyZvr9GRYXc2M+J9pAGnuEO/NfPLy9fXt++ozeQ47YloT3AW84ftcbDhIAWuhZAzmVpZGXWUghJlOIyPaioFnB6PJvDUV1DlM1LtMlkLQWAyeawxrTdpb2bpWQFzzK/kotUAqFUSXTcBN7IJrYIwUY4+PgcC+cWAV1uqIkTVlMSMyJf8WdVgcWXMmA07GOGrPPlNIHKTEiMOHTFmD0MG3TqX50S5zOeDRTtUIqviLBIs6JiEiU5mn+aCLTGlesvHgk1VrqyGb64uAraPGSkjLFrLmHAX+Kp4T+kp2ThhYtYeLjDGx4WSpXY009/9rO/+Iu/8AfIMBmJW6Og7st//zeufuG+IEzAKV5WpxsbPRBUGJ+e9fpKxZ//omtUN37Cp1maEIGKKvMFKaRo8J0lAAmj0ub4hhQec2KiseQWWrH08x0XFdWf3SAuIVXbK+ugbWjHEWvBfJdL6YANDWGKKEL1f/40+TB2ljmkNh0JsvliFK+2xswhHKUVHRhoOJV00pPerLFkpkgLwrDmhMZUBALHUVCBbbSKKvKVnZr/jdgVtxot+Rm7EUFDWeZu2HbCahAD0iJKt94BRy7eYgWWMMDp0KiHUZK+/MYyaBAWpGQ/u2DIfoLSmTVVxFFsy3pOiFeAWiKiZEwCZaiLY8z4g8TzYq7Z9J3QFnBlgeBUtB+Y+OYlZYCytZ1LC5vTr371K4EF2f/+7//+u9/9jk8/8DHij3/8EycfI3/5y18eDMBzsPBcU9xTjy5UZofeBKEQ61bsYRZOoQsVxv22lVnkVXxloi0mz1OubUmbU4KNHAu+KJ7sgj1Ng/V4+mhdjZXwwUm+39BvkS/tcMxRjDayVJKVMfowruA0EUX+bJafqX788c3HzNuuVmBjjRsEBiWp7hcrGlIr+NCkMCokGROtZymKZa4vLXHMoUC5PDmNgyUmpYRUejtM48otimkjIbYPEln5hkCOZMDWascX/o5N3PRaioX2JHWFOqPDkIFJC+6O5SHuHaCYDqiMNgY5KralQ0tJYRAw3ZsrH9LUGpq5oqIJxDOXU8a5npBiFxQP9IRPPWRr3YpKp59OYFifVEJBI69bFE//9q//iiDEWnp+fvnrv/7r86fVKMLwgl585vjvv/0tPj389a9/fR5WAgyf992fqKLCNYkv73/GkxTw6ISzZ0tE+WMkLwxNPaIOKgoXrIwnXsEz+xdz8aL2gnjc1VgF40Vdw09AqrIooYKtNDkKhhpjeQLO8FtLUQIDuvosKuWavUpbEenjVxpVcy9kE3FsV7OQkomkiDXxwXEGQ6BGtrWUpaMUmc+t8WDoEC76rAAyiEwCZunwfu9sOsQAACAASURBVG7Z1mu0h64T885T7Sjz2w0gHx36Ok7PosA8VIgjgj7q0Gan0kKlpUuPaSBzzijsSIXfAbfoK4zHGWpncRl+iqlDrT0RNlcb+dPYS+shxH0tQjUDKLKbLpedELsG8q14l0KKrTVww/nATVQ6gEZW5IonyH17e/23f/u3jzs96QD10y9/+YvPn79Du+NR7uJCbfSv//avGIaPGd19XVFYt4/3T/ic0ciAY2933Hr19J+//92vfvH/3Mw7pejs8o4BPgor5zTHn/6E+6mVfUu/TB605sdn2B7HNdzxHX9f4cjv0hGtXdSZQIYksdUzwNrkfncpclIKDliRCzpMSKEqkLcNke1NJJLBnBm27kFHTC2nINE8SA0J58Qg95LwxQyriiHYE43fEKidVM+wyO/Won0M7M9opnNta7hApEnpZyBKLVAhjgBY0lWeWEIAiH+0h4TgMQ3mfWFookabt8+dfaGhwMiAkXIxwCRlygUmfWP58qCh+vemTFRFASLmsVL2cr36Y0TXS9gTMOpM1oOsQDKVfBvEejRoFKCAXHw53t/8zd8IKlRRuFyFhz4AD563jjrsxz/+scxBuP6Pv/kfOP7zn//8z//8zzj9yU9+Ipe40Ig/9MOd6U467ky/fXxG68HYP/3pT/ho0g1TOehMN+UY4DrKTdYmCmQbzdJofHuw2SmItbsBfAAFE75LR3QCtm/RHsjxjG0loyXDRwL5OEvOqxSFRZjWDIlwDluE0ZmRSS3UyWuXDgAeLzryXmiRAecub5TCocgvd1ObSrFFXPx1WAQektQZ92LM0bVBBiXwqWs7cgNFAjqKRLlp9QeCNhh4AVgR+QmLY/dgRSQ1NQ/lyCunDDgvTw3RHPX6EG17xtla6BHfSyCXhfNezumMjZpgwElxpoEiX+wlcDDVxnIWqx2YUaDQDVRelXAQiLIJHxdKI4zBJ4n/8i//ggPA+8EPvvvZz3+BP1rE/Vh/+7d/i4dR/cfvf/sf//LbT7dPv/71r16evjt/6sd0HEzHc7syd68fIJWcItC8dVQyo2WMhLH4mFwLGedoPpjboofq0iVqLFq/kj8oAMTgJoNoEubT6ojyE+xAY7A9hUKAStCmxp37yLXmRebGscogGdCiyGop/w1d6oo8c8k7Doy0+y2uS/FgGntOkQ8ejZ7Ffk/keKNnO9qGctxIB+ci9NizbZDa0c4ia8cZlgnm5Ko7YBpVYFkyKI8cVDafsnliI2Qerk41S22YCAzWKPu7QUrJFLtiSQ0RaTc9PbVOkgmeElQ9YzLxwAYDE1HMBkv4OJRVqiEso65K3H6wD6mQO4D5Eb8gCdj+/Ppf//J//jf+JvF2e/7uB59/9pNf/PKnv/r0U3wxzftv/89vcdELj+DC07l8E3B8KH383j3ArjME2gj2iCjZcxk3cUgW8XLyCe3CHp48v8Yi2yiSrX04ofUrdnZaa6bL6hjhqTOJFHsFCwpjZC5BbIpOo4inn2Eotgi6EqNSSp3BcXN1FKVAbH3Dde3t7WVvA74/8taHLBlRS9aZ+NqPP54VDTpMMtThxlbEuedNJ2u36rzJboDXZg41CyyPk7Oi6hYGvSEHyyzfKXEHJHmUm8OobZIM93a0cjKW+WQe2bwzs0O0P3WETF9+5thzFq0aoIGb2d7NYBWIKkLEmLQouMkzKmo+feRnv4IGg/7i9hd/++u/E9PxHIff/+53v339d1CAvwrkO7p+jY8Of/Ob3+ACFT5VRGFm5BqyzBmqsai+vo5Co9JKaAGbigpHHM34sWcTZ8TeoTUtt6l3Uo1Fq1icRNHduoT3HCXtLfQULba+F9livLmD5ySTtRopS4SUrKk+g2g2dAn+CuTWYGKheNpko2hRVaDLEGktPgb0NKOcohTlW4Dv4jNi2zbaH4CZ0AV77/iGCzY3K+s8wIlWKLDO0j24yU5vHAMSVJhC2ZZnlk5HyZl4gJ6np+PQYXHkdQiTqTbjQSLHz3mToZ5uNSRAR0o3FN56TI4mVHVurlUv+0FTxlfhy6+oIBCPTniK/K0fntn0139tHgCBmok+SfzNb2Au/tIQHyCi/EKl9fx8w1NO8dR4LH5DHD+joZaV8vGSaJyuwomUiw19PLWA/zZFhXj8YUNqLFNRQY/YC+vFfvpJZBg2fCA0+HDec1pCIPyCz6N7tNBclkAuti+oxsueaf6GWAp1iBwj32EV/KQrocjaLHiaDS7S5ZD1HLCmLgKdyRCVYMbEPb9NSg7rsUbmGhgMLBAYCa9sAetQBEbz/kQD8GVocq0MkY7/0uY7ie5ARONnY4EVgOZk2wOCFUkibOxm8amcKhFv1chvWof6d6JE4O9VF55Z18E2WC5xaKMxai+NLJQfGFYxtTaAAtpCTbJCrcn4TRHBVldgCwnWb+sEBALhYdyZ7q5RkbXxiiphAIoq3O2OF8bgHvk///m/fv+HP4A0fEHiP/7jP+LOrR/96Mc//8XPccs86MWzTxOiFLpsjCZE2dCmIeTeiq/t2aQSgekdbhvbdaRSY3GBYTIYkFNYh19iFkiJDQhPa2gVTaQmoosWY6SrRJ2sZRlpdHVIK9HIppBBcwJDfLTTZW0WVhVdKAQ6AwvZaBgWMCotxZkM58rk9Hivt1qXN7fu0ALbOSstIuY8Sl52IdPy8MeJ2yFXrnEicxxqDDMxobmuwPKVJ4QeuhgFW0ELsvrq1EHajNM2O0/I3Ns8sttzXY14kFcznDDUjre4+/IvSzGrkxDwP7sQDpjQ12CXxVn1m6gPv6Id4eGBVsS0X1FhxI0qqv1X0ATmVTTh88Ef/hDfMU1Pz8ILxdYf//iff/jDH/7hH/5fPPrh7/7ub3/6059K16Cf5KpT3WNWNKvkNNzPJclCtJx1jbCrocbaVVRm53FWu4MgWFoEc+yS5RbThfbav4fAFDEJkkW4s5BOufvQ7gYoHszUBdhiNSkdaZvIhq6RSowT0ro2L2N4NxpPF4kzCMb88nRVK9qsDu4RJvANblZE2Qk538t4aaUkIl9gpWUEeTMlIWHxyikjqEFeUIl2Yzcum4tAqwnSoOMqcRfCKhyWUk64U/2BPhej6JMQLDQZXBWODGitbAJI8UetdWc9UlFRUcUvWmn41MWrqIiQfjVnxbYFT8zC/3ia/N///d9/+fLlj3/843Zvlh2j/BtGyhs4axfI5EN7rqoPsp2/VAUfhZXUWBzeZCb+sc2H969HmYnzaXYR2giHuBqK2/sSIKWLraZDyMErNZ675/iL0IRq/RS84r6gyXPsEoYv0eVbXUxV6cAL7UpDFKsBTxBGB4cCnxI+kiFV4JTn6b/UC7140GjklZ7qTzLlFCmjcgpdRnG5CF9c03GGrJjMRoRUithyikQbm420RqFBjElZyc6guO7GbU2S2bkY7VbXKcAR5A5qBeIdwgf+pmRfUR2/JtkXmt6Q/JHdx7gZ6/xtPL1SHVNmVcsv+tQPrm9cZZWYoGWOrkCNZXMZIIOJ0ycClZbsh0+zi8BXcWhXNTkfMytjuE7XnpPaM6OLcdbOPYy3RlNz0GRpnBOK03SJ1fIzaPWBpc7TaXaJE2N2SbuM6bKa06NUVpBpk6PcrBWmaldguewaHsutdNmLyzf83pVT1LsJgG5TZlH72Be+3O256lFAG8xiYF7mFTMrs1Cxov3A01WlBuh7iXVnZDZ5nHIQ/1AyuyvKGU/wR5Ad6MJaKNRYXVHtcQBAua791JazXl17vmzGABJiizv9Ef5xC9ryOVUuKxd7HomweP388oLvhP5MH+xC71Ajp9kltiTCg3zNL7K322oRkFAnulR+9uhyVpcbfYHLGJwKV06IM/zg6vVd5kwoOXDWOXtllmsvEVI4xskUXe50m84rjAqsRE6x2yvNsuUULchNygpHNlmksFRB9s0Wc6dVi3sbLGr7e9+rfmZiBVUCWQ2lZPYg3VpruxMeXI0v8kNdBTJJFLZcfL2N96lfLcmBlVYrong8dFXQeGJK3A1t4uY0cvBSoavYhNjAOtNiUnbtxn5nNTrJ5Ken98+ff4APXH/wg93wMScD7IoCFYc6r+EAL7FauqIzmzommwZbSqwQk8WgkvFn02VWobrz9KoWRV3G17K4KZkHXorqAtL3TdBlIEXA7Ic3njl3izoxsFFW2TTHIYbv1IHyp0/4OjNziQLdVFfQ1kqCZWNt3l6bJ5JuxVc4ro4KbIUmuyxhL5t3lKN6ThDgj5FYPIdDDSk0di9gfpTLFmzekuZrVKaiYoOx7p9v9xapMYhzcrFo3y1pH1DIIJd94GhQEp3ry/GOMX62aTYdeShKDo/Gs+GyugNW03Ws7777jOtY47+vEOiJdmQcwnjEWWJbxRjrbzzThz7l5VfF9PqhxjRM9FZcvZiiGaQLGTJUZlm7SY4MK5KYHAQ5QV3JSY2dCdPSEsVwjizIKI0uYxpEF09Jw4j1OkjqTDqPOxVsjYkQdxwD1t8uehkGb9mWyRfssVJVAQvt5aVOSUEaXBakVFNfzgRbTtmxprYomIkhjRmfdJW9cujLpIRHsf+hgIwgPWeHDzfPAbMR6BpSBz2kUEX19PZuEzH+7oIqKqyCYS9/kQ9Tsgk22Spk0M7hFOehQZuk/BEkGHX5sQojyjJJwCg2nABQH0DnDEdQTPsuHYZFuEYweTSclOFFXpOj4T+Z6hGmBZGTZ7ladfaB2ay7g6KyjSJ2qmkFQeI8C3iCMGvIeYBMnGsaAW8GDBMKDXemYUqPujNp5xaWz2vtjuf10BrHFSz8pqMHfgn8iBFu4cFAGsIGtxsb0dIukGYOEQq5tGDw0xi+bbBRffPqq4zVUYREV+aFiur+tD0dCmbf7i/4DHD06vJhDU9VHkGwix1NTS7p4Jj9LeO80T7KpmOItSHVNL9mkjGNUxXPixviWU4ZbZtSqs/WWF9wNat0Tt+4k3WN4pzpCcOJEKRC3tMa1dRM0zItrdMZTgGJgK93elp+sFe0QPU0daSLzXN4xHA0UsLWs3quaQZ4LZNiO/MRzwaOKXvgWKpVZwVU/CZd7BRcOd7d5F4hIzmUUvCc19On+/s7Hszoa+OKihccW6kXfqRENUHlWcqP2FtuzEYjzYSj+Zc/ZqXjQ6zXGesZgr/yo2em2xeuUT2fbqICEwd1dviQ32Cecp+i7IgsF+1knfW4otqAKGFS1biAFmri6I1fM4PJbqKJdXfedMA11ufPeKLr4jWWtdwQVJDj8IwGeQjWtFUgyUddnTWdY31vuLquRBDRAp9YYwHJZjhndsEWyQoJ4PmuQY6LKS5Rt9mO0Xunx8TG2kvUxebWtuNzef0Cq+yqfi3U/XgvrO64MkF51jSBfObfG7GfevVZHbDNsBDuLezQy5bXST/JTKs7De9tANo2wKeK6nauqHrB9c/vLMYj1LiKCgC5ouLfkn8jU/pNOUhAkhqzu4QNcOpcwJPN/DoA6z9dtsY62l5pKk23KWKM78KAnO/C3WWtzva009ELedOsm6NObDeucydlvPWMmmOdQxhU5/vdjVQ5CKpTkXwQol9gHRRontr0a3mn9WSThqaeMbIs+i7p1nQuTSRKuuRdNFm4wGZWqB9/6He3D6PCFDzes6Gimk1XsXUbCRE+dkUVR/02xR7Bus6Kzkoq+q2kLmKwB8FF/AcuU1Y9jcUTUnVoa6xJ97wDG5MJtUc2nO0ypsqK82AnP6buPEWlpVXdZr1DXoKnVV2J7MCYIeo20yk2Nq18gs5d49atfzTEujhMUSf9OMYrPlahB/KF6XGK9Ass3c8H+TMAe2HFBtY4OhScthOhEB9urbHVY01XgLszf3dyFo6W2PVOfORnH+9J3r81VVQ79XwyNTeVvJk+kyKgwYvcV0KVtDg9NtS30q4Uv22t4yIruKA0uLeIR7adVUJyjfVy0WeFbsXvN9c+Px4e4w5Wp66FQnWb6WR78/YqM6cZqKbOmp82XU1dWURNUyfWO3Vl6HpH+erkuFfifr5ygRXbL/dKM2euqMIC43zskrI7yEi4ursZJ8UYJjMDdl9tTjMNLBTmwTLJRSzYksCrqEg6vtSv52FUZQCHj8KKPWb5CClcUojbgYpWesMblYC6kSYC5NG6o7qItcdhXIraRlgRC3kiyL7LssNH/Z55HUu2FjaOLk7EzO8x9ewpqOFGSC12UwcCseoMg2LIitU13Ro4wzoi8bzYrV3J38Z+4of+lb5kbIDPUgF14wapE+NFuG/9IHUxm506DPBhxMaXtysXWOWK3UheXfTD7SkcZEWR5u7cdNJGH8RhxXsSmOy+SpP5n6ywJlkJNRVd/arLJOAP/egraCRBYAo/jErza5KDNmPxqLwHCAoPN5Jt4R6TWalTFnVkXHh2uJUEYTEpSArLP7QSn7uKp1ixbzyECgEH6adTUXdqHtVgr2MN+KzQNx9WeRvrns9Rpolc0TtZo2c6odgZr23uZAPL1QkJPF4mNVqOyZPdB6D9GkmC8X0qY5Tz2UjffprzRL+BTrB6gZXiC1r5gw+MsRWV7AVefnHISg5ARO33w5eITYw5bV4Ze3eiAJftJeNlT2HDEyISXTvJeicnA4tEZ3HC7/SRHyoqlofxW0UlTUV6NAa1WVil2aMDbxvccrXlNMnCYnbruUp2dvDcCpKscAZmsHH8y5hm4yvUZdAUdavWWJv9CfMnGwgWJmm01tNbAF7y0Fvkg+5Bkwy0OMWu46KgnY/Mll5F28PqLJgRv9s0iv8bzG9T12O4okbNAuu8c0lIsalmMdkPPnhpTVpfPVTH5hZCN6uKRuOf+I0PY3KP7YV6jtPazwsVZofBcvcVNEBDl78/bk+npyeg65iJ2rEXzbROKBpcOihCh+QUqaugN1dOl2pLj4OakZQGTA00MUQxX9CS8UJAGn1B72ADjwh6aizHAJteaj+PO2fTIzDF81GUWvspQjzrZTMYGaVHboxyLEWzER0HqJ8LpU4sTu3e59o0D8TA2ZSyf0V1zBgJATK/j3mZPtvAzu3p40OzwCIwVEdQapCcGwipWDKO+Wehds4SbF0ElMSSowDjiYA+i/tmR4CmmpMKE53yFTR0vYalw25UVLf7LaXroj6dVRrkwlTUZBgxwOsAP0xkzLM3CK5NfYEoV9Lt7exMqQm4kKzjxIQOr6uixvIYIPe3bypE+0wbAVVHnWWADEjar6bR81TmUMvGpBohAOaL9TqsJjW6ztkaWd/ZQGoBJpP96FDrNdvAVic6BtoLLN5HZTMl9riQkHQSIjTUpkX6YDl76LuMCRqN8kMs7ecMBqgs/oj9eG7V0R1Un3AflaGAvoLmE65R1VdUMQVW0Sq/Qzg5ACwDIED+uxoxgJyzXjGokJ2JyXYRyA2RlZMTcjNdSLUdNmaEn7ttjRV6BqllALOASpGByTYK9iZWDQVkfA0DHRrPLipqGadRKIB8UeHQ4NR1ucahB6LxAGOcRlFkIkCWgOYiCAB3GufbmNJo311jjBtWUWDRdPuid+d0vEsmuxMZGWiyIrp/D77DPQDdxZCxfKOx25i1BNAzwc+IThXVDRVV/zWqoK6zdsUW+A3BXKQ3QIN/OUrWUWjQHi5pxLu6wXnH11mjMY/fl8wXVkwDzbRW1Wjcy2s9m6yRayzznHeXCmpLilpbVWysir1SjZYCDmpMqrVsG1+qcZvRe6SlUTgQ4xMUSFeVFzotnKbRMeA0diIvn+40ykH5xOaRQY12Hcibq+MySBVYtqIyaye9Ie12rKOWZotSE2HYgDvcd9Add8ABFiSVpDA9cp+znK7K8AlVVHSZigpraqBrVHh6ghuoZu0ueNSkJgVZGwODTvbZMKAODoPTiICU65uSC7bSBEsBMxBNaOjAwGj3AEpmaoRpiJrXz6ixBvxdYZycfhtrnRLVyAxQDEgcxDHX9kQ11goqHg+NNBYulYPiicKBYaBmrmis9UUxrsDAcRoNCVCwZ2CcxoB53HShRoF0YOCAcyuweB/lP/CwM5IJ+iAHp5XDzwIua3GbDcKGigm8OGxAhOuSZtMrJ7N+JmqBXghH87iiuuMRCmI/3Zb+fJNqq1dVcv5AEyN6fc8eWUBFKYDoJwaewiAiM9kMITNzK2HZfVB4MDKJlTvdWiBJKhTkdbaMGEms4YC4IwoMh2+fX7778uXLrO8rFOU9wUMPwbfgCyk24zkfYhkQBvpXKYUnFv4Q2T1mFiraDStclXYxAKTg3AmpOcH0yTYK4H6lwoFIS5OgpbGc12kaHQlOY7pGf8Hikc3E1Ee1K0hyTvXbgHLqBo601RQlELY7HTaWqYGIJok2GwVdk8I1qvctgeLqw/35+eM5R4QyzsnqxN1+xpFlw1ZRIFg8jidle2eJgx3mLVOJRkcCmU1TW8zHLJ/YEr39YwBUS+lGgh8Ie4hYJbiONb/GSqfyPcbdGRb4c823DDkSREpbJOwQFJ/Mjx/RCIBHM5kFswaOfcX2hAaKMK2IDWkItImZ1XbYUMDE2rkyfqaZ4zSSFSCVONhlRadROs+8v2D4bsZ5SLBlP+eCj3jaYPOlCeKC/h24Ctq5a5RKdNf0OCfiMamo7hY2/6EfrmLu3OnuW7ejZvyeEUKelZQ35D8yvj4UmiiBmsHpxrPQIkwFLbFgXphZvR7s3MPv8WYeFDL0zZRTb67B0YDkWUjCJTUWwLXFz8vL9klFjIyNhFMktCmNKcq2WxekIjcrpGqAaBQzhQdqsTiqRJUP9pWWz+oZWa5RkYRypT2m+XO1NFI80OZAskWmr8U/dr0SQn5XfuH5o/cbsd8TyOx+t/ox7nDPf/Mrl1NAZlYqrZm4BeoQtQT25RmpqBwWrqiyD0yf7U2C12emM/B4YE2h/dfuwYgCWhIVF3eOUjvOLaAOEfupGYGw1F/2kjohgaa5xLCX2H92UNovMC9hb2Z2/MYDsCIY6l9SY838vkJgNFARyU2YD1ZuJDjJhxF8CqV+CIWGjGibp5SsYwaEkLZ4aKNgPrdiXdChznx1BsRMUKQuOUZ7wszYFGnvIeGstKzASucfncWetvrYCxbOd7hT2nE7Na0Y/o9+67y05FShqS08+PGe7hIVnkt1ew493jOBYeMwMUi9S5FcEbVdogJWifyzjlp2e83GthhMbZVyz4ZEBUi+wF04xAGXltGhqh0VEJX0wrwEt8IDVHFlwlx060WN9Tb9nndCnbQ0bZbHQwUJFDpKVV0ant+bdqg/suE4yAOZSW/E4Nh58XuxUtkx7apoYLJwysVm5hwq8QCQgrPQqOAwkSACkwVWWYzN3qOcTeYjHkIp/4RDRl0G3YkqO7jM0iS8Q0V1o8d7Zq9RJSWic34yRSkofsxBC/fD4fYjP7oYxhUVFdjJF1/F6tGalB7tzKCKzKuY5TYPiDKr3R5EhA9o7igCmtHAWH93dDyAu/68GUTFNRbueX/98l33ogsqiDQeLI2MMs0bD5iW22mioniiT290pF6HoNVSKjywHSkeDEVzcyCUapmZpd/wwItimlJBpevQrKVZpWQ+X4cxTi+UWDCMBIaf5F6RyQv06A7hT/0gEsEvtOzFj4U+VvreEnd2Vvrx9Ma3SZmC5PaBRydMTe4Om/JBfUajUorrKfxAQGcrqiNguZ6Uq8OOs/rOed2Vv0U++z+oXnImdREPvIf449AyOZMKkguUUnLAFVxm4cSDz4nWMXz5Ov3vCkvolZgQIrSMfcxAMtsGwFfwMH3JCLyBS0YCgteG42G4UqfJO7hc6Yil4dlnD5+evCtYNbFnBdDvqqD1J+aPeV0AF++jrMhuoXulrdDzCJYYcX964+s7AENFFVdU9Q9MX8KUJIgyN9LasCN5odqTpOyH6iyzyKZLmAYe9itiFXMnwbJUEAmkkqrJmRRwjTX7+Vjid1jqk+wMR6PfrsgGxB6UKgqPiWpQKlQwCXbbiEmPtDcojUiqaNZXym9cxWWxzKKvtMDi+UolJLzAKEDZN+SF9qoY6wWi6y86JIXaKxKEiIEJtAPAjzse0IQK49CclKzRSdWNhpycjI/77d1WlXg7/nH79PmJH+85RXsO3cD+sH32qiUpxprESxECpEnqUZSZFRVSWmCUJAaWTqMriQgpzSJVGDCIXkcG0XCi4tSgYEhaBMocPB9r8jNIAcm4VcDhRHV1xEw2SqfochjySrmqpizNwFSoECGDYtiZdjhQUSoLhESVsaGi9GBI9nSOUkeFqDOouHXXkoVbP8C7glU/uXeGv3PSqsA/EpnbavDsJjys6blXe/38HLB6iWYGnuz5LteopIZ7uuPxGVbb/h1qs466ibwm66Z0j4bBYr4fF1gAGxXdKtYRwEZZFydgSW7gAUxFYmi+CxIgjxid+FJTeqAiZ8V8S+fVWP71OQqLa9xKN2rkvKAbaLAUAg+edXEhvSOC+zKG2dpykokZTGGWhI1a/oMM1wqpHT9QKYdomApuleAJD6g1IzS+t8CqjWaXGSgG6nbOWlUhczvblLIJ7qDCnen2GhXKiRs+9aMvx/Ne7gQ1x/yX0z5HNdtof9zA8lT9c9VZ02J/Tui2C8qTgKYUc3McGdECIyj1N5hi2SDWKue3K41YUdI8sMZyqZOpOIC5xFjZyBs9ezCg5lSMlRk4xqtmduNY0TLfWCI5V8jKKmEmdKi4xFgVpY4K4+ZcbGxKMSE3uCF0+gosueAQU2suRJhBAr7eBJ2IiWGc087f6Ie/k8dCITaePp5ud1yBC5gWaJoD8aRlaCoxxRT/orwA7fzDv3Z1QjSsIVbrqCkMe9W2Sk4gZcKDbVdT7wsC2UM96+vyj4v1emwgJCQ2fEE1x8VKa4TmxkqNpfR3hd6CyKXOS4wFGTP1SnBAI17sB84gOY8o9kPvBctHcuP5LYrU3BsbioaSqEuMFc9Wk0wLhd7CyfRaImRWtdICNV0FFhULvg6bDUyjuTKwG+IPTx6nZqX6kkKndfLjPfGnTLQCgBYPX5/WOAAAIABJREFUo3rC98/sr1H5YNa3yEfbcEyJUNIBr1u29+nT6U59CvRjVDVoW2FK0qWyUYCS+/2GK3a5vVPXHqgbkUraQVo2IIG4SDJXq+USY5HpO/6u0NDBPNRdXbXczV5CQ0kWOsQ0a6CLggsi2WBANtONVGdT5EBIlk6DYTwAUTQ/XRSSvMUGLZTexDHC2K4CC85mC8kw8nW/iQUc0d9gjw+sUJCn0parqEAJkZGrqIixkI6F2vrw8TsKYw0C14YItyQl0xuR6dwAoFISidomuQD2CxUyToiZ7/QoypFQdiRbOnw2Binf6R2k4ySWa6yKvysUPsw66XWPVjCfrIo3KEeyuTYDfRCcooN6p9c6RINaxohz6nq8t6Zos0vHdQ8/EBdAb9oX+jjY9UG90jgCj5MZ1FtrY12BZR1tSg1JB7UqQ+NTS+gw/n7/uOQO98OVFamoPj7hr/t4j6DHe4Y/9TvgrzD1MHPyaaqeDENBREoHYpRo8U31j8OzH7c1Ypujg7IxbRRBC1WWcVByqnHm9mBxCB+4aEdfchWjww7W/Q1t83nGdvT2gmeQfvny3XdBc4QQYUKXj0vsFRubeRY2IISoiCyWII0yuFlvWGZBq3HZsPJuC489G6P1xkwXvdfwzFwYwxmffxwD3NkOFZsLWmUlCyz7kR+Ei4uto2mrsJtpq2aaF95yeiSOm3t/un+60ad+Apu/1A8VVZJAD027qe0zPfUNh9bZiakmQIgSGh0I+qvAJ0BHuvb1YGTQrvlsm6xHMwhsnEfsBPAJj6ovZs+CKlugd0KudIwQG8IHfg7bkxIcQPsEew8AcCH79fNnr8YyfAgVhpDDHKXTS+wF9mq9spFgWtFyibJTrTcqqbJDPa7s6sgQoq63zO7ZPPOKgVLKpZaZMqQKo6za9kt3u/pAQl1wkUH1e06ZTSX7TpmkgaNwPRT/42/97AtvvO+gqwJ8xVCrJPD7gs2XUATBu/3SVFQy6jD0cBowKdXECxjiU2OG9BXd6n6EtRHCW0sb7Ol5Ywh/RqhlhJiivHhkbKTujGwOrfZcmZEe6cYH3q8vLy9fvrzRd+lM5eMSe0FDVq/EiOFCL0KyeiMu6m0WQ2CUsaheniGEuSvPff1665HSjAl6twjxOeVQ6eF5vr0vuCJD+Z1oK/essFyLVifV6kgJYHcVlX+NyvsKmuJtcBjCAOihTd4FKtJDAZLIhppmX1RUSr145PRomCx+JsTkmuOMynNitTi6KmWnhkOvSrbyCSliRElvyrZIXyqAI1Nami0jvFzohsz3F9yP9fY69/sKgVzLxbUkMM/7VcycCP/jvCCSVaJaweSMCPsJEUAn8mpGiHUxhnUIySkJ9I+gmhzHhiQIMV3TE2abvfQk9wa/1Fh33J8CvipuUr3DHc6843+nnD/18yoq18EH+2yx7+MzTTsD4uc12XVPH4dSVCUMS3TNw6umCbZ6gb3ZZrdLZgKMNCyYHMZsdOUENPY327Jx0kQIJl2yC4KmUXotIxQ3J1q5xkrdj9Xov4Jp11FNLiYymJAzJwXYG4dcaDIQpwPMcEI5JJlaa0yXcEvrrZFXMdZEupc3KybLUA4SqUKMtBIRkoR79JZoOY2ppXr3EeFJWk/Dtj/1SDnM7bvD3VRUbjNLV1QH1TF7Yu2H6e2nA7bzAxha8zBDyilv3W+V1mHCYJspiJ2TDqpnnPKHhYSAXsBSsexlTv1PqLgkPwJpoV4KEn6R8wG3OyyvMllR75ETISjy8368HysybkBzv7MqQHGc0PLlFyZSgFXM1xkqJhfGto5KKwWqj3pl7fCSEWB2rObvcZLzKM8mZ+fw4iHMPZmE5x7ZzqruHiBUl+htLLDinMxfSgm2pKKS+6h4X/h4vt2j16gSgs5d0+wcoYgqJ9kuOVLMysxqyg4409TaAnxq7+/yGGAYL3ceKctmoq15fENHwPuxTLGRwvulOgykkZhqdV2+wITJ/rDwsSUFEWIWTnhcoFX+rnD+9xVuUOit1JDQFlaIEJbv6+hie4PecnSVatELxMSD5aTFgKY5V60pgM2r5kCh3E6xovMykobFdgyl6E2b3FJgRQzRoitmTkm7/6V+tEPj8Z63e/hvpEvE+WPoPZksGL/1QY45qnmpGysowvMvWQIlI/Oylhsh7yoBiy6XYa1YMw1X0/ECQXqtjkPkbIcKZz5R4ncMUQ8F5sLYEPFxoTCtgm0XKxDYRwoeLPvp5UnpOe9x82I9xLdajSWhInykWUn3xsCqtEN1haO7VRpObJiQ6m6ZtQKE7ZlWO4Qx1YYHhN+4UJDYptLNwZlxEDNZdLcUWHvUU605Kfu437wv9YP38DXJA0Ka9M523J7myjNZ5xxqiLv6qBaipaisVL3ycLdRtnCysmE92DhWcHcjfwkk0oX4vkdizdy5+5+PDJamNqEtVmhX8Cd2HtNnhfR8rNcv0+95J+Rpq3O2bTtlQ1YpucKRA9DQn94CGwSep0i+pcWzDxU5TYXZWZZSC6mWGN5DUhKfErNZjVGs/UBLanJPH+u6jO1QeLcUWNZfmkmnhFUK4ic82fPVL1GfPoZUVIJnb+H+rASx0pjCOsd+7Eda2wPas5IcXahbyVInhrMDzHAN7Qec+0gQ/pXQwmOuMRuqp2UHpoVYhVLDjCsp2slumTnT6gM+Mp2yyhZnxL8M8hoPs/pPcc/728vz59dXPCWrX1qthLPVWQlCC62KPlqu9bX+4rIVTJqWy6xmZ+lbXRIuHCrbaspO0RtgfLFf13riU5JEtU94fYHFiyylRLkP76zfROT7+/vzCz7yw6MltoSorI3FBaUHG0doL5cJV/D2QGUQXNt1iS1i3tx7oXamt6umStNUSERL/ZZwxdrc2T7kBOveyg3SYiizY2b+jkTfDAhmEbGqIC2DQNBnhZ8+XXY/VmEpvy8gVNwEkv0daBC9QbFaqmUlQZpfmgc1ukYt1U5g+cE01eRWwGJaJFSIIrwuyafXqRarOUg+ygsss7h42yt3bvVIfnSCebwn6aKvoAFI0o5S6/aEh6ePehkLQ+Iv3Ht8OLxBcvHA7w8IsIRRAro//3zcPPEs6sIWooS5oUCR/07fI30hvBrVytlQtgJZPybbRdEoq47qCXXM3nQtL7yOrtkAPn2y92NFv0snxJRaW8zd2zYJVZJe1HQaQTHV2noC8nKLIDDFNHHIyPQ2ITKL6B3Dahw63EiJfpBqJzZq1+zV7TFxnWqwgcIyW2Add+DjuWdL2yFVVJ/w/c3YILmM+ah+YHqbXjdL3SInWeUApQO9jeSygaHSUe+rX0IvgpL5SZR+UUUrG4OT40sU2jG8Ni7Ig1Z/128OF5LArNTlcppyydtNRusydZf90cmOGGJmx8t1WRj3Y+H7Ci/8rHAjRQLG/oyyqNSxd4CS0BoxhcFGwyCWEswuZGpU7cZCTKHq3TSNE7FAXXsJMYNUl7Bi4E1Ma45hqI4VWOG9ys0sMSw2xlZUqKsoZOka1cfz6E/9zmDCFp7HScss99B1GNJFWqWSop9yJEiaf9YZ3KxGbSKCw2cdx1yCk3xaMxsrj2ZYjiFYV7fQMNrKxFy87FnLby7mWyb2zwHyOsOzKo/MRCfoq46qOnaYzwrn34/F5CBWyON9MXM0qeZc2ePFqnMeN+tgBDNGpp/dimH3D8wZntHQ4y8xvEdCBlyimyN8qGon3I+Zc4HVlZ2DBuIb/Y4PTKeK6qw6ONs0OvSpQQV9+uYVKE0Moa1R9keuGAjeOdn1LMVeg3vnJ2zPdIEaeJ0HgRtmxQfjH2ckNXSTvh7aG1RWTdmYUd4eYbjWWqsySAazm83e1jCdp1hqmJjyKLnQ8Gk1llBDnCC8mWs65HVmz1pZb513Ie3GZLfMJdmY9FseOO2WX7XQxPBy7SZsJAUbflqt5lVZrrpdTWhmreEhGcc2Z4sJp32/q3KK4ikoYi+QzgIVlb2P6jy4sOV+vz8/t9+AVWReIZS+YUUVVZ8Kmq1kMK2mzv2uyhbzwR9plWA7hZySYQWoZtp9gAOr3bp1XZLmcEqcnHhxw/oPRsrOo3P7XX7oNsJxQ8Q0bwGYeaZ9UzLySGqsIc9usNwwM+Hl006ZBiekvcnrGsr55k25L6o5blpxCO1XhVzW6Q5YdmQtASsY7qyrBW/G24hNk4MCC0suvOqOiq3EYzsWR+BL/UTyaezchjLDCjB1CDIVFSTQjs2LeNxK7sAZYwE1D11cG/Ta30oFPVYXaQRbdhkMAxC3K71y4vN0emAwbHeyAGYmHku70z/vAGaWaTf0mBWlFCDF2vUJQY319vJJ634sYYdipiZuypjXtx0gBwiNi/T2MqHnMsN3WS4OeGiPx4avpyZw/Hmlx0Z+RHuplNZxvX4vi1h3BSsP03tDv25F5cxQXq+e8U5F4mArG6RiEGc0Y8pOzA5IYJ3exWWDlA4U5LaiCuIQwy4z74q0KzujKWlH57gg6WiE3itsN3AS2oUdXk+juEloj9Gl1c7XsZ6+e3390vZ8LGZHeGlj50LbDYdjt1ubx0+7o9B1Vcxfqx2r3S6rKzIt++JrZb6wwJKKCrdSYRXwP3p6wgWPyMsmsisChEBJgAo8rJZM2ZA14zDApoVDs9mEj60rnh+KKomiONCr3BhHNLLHBQ8vLUm2rI9ZG6l5XdlgweVc4ccWVTNiw9c+mSP6u8JPNc8gpYrEXB2vulgVs+tC2wmS5/cYwqp2iiIWy7MywXOt7Zdol1UG1eDHrbgqhlUGCwAVUQ1CSLt5y98wOzUlVmDtr1EhRPH0hE/fGRApgUP68D0eaQdk1s0AUOQOt/8BHAfoAD0s8mDe4XSU1i65vCkCKH+8iHqTMGdxBwYEmrpw1U0mt9IGpo+C+SEwkB0LHrRfm/Iu1G75ofcWMX7qfFk5mpXG3tlUyqocnr/n3cs8JjhVI/TxA2/bLWuDp3Z8pW8zw0X76HXH8oGEgsa3d472NAWjbY9q5xVk086OluiUgg5XYKGEwcOo7vJWiO4w/rS/RiXvkwokjhjycf+4he5wV80qeeCOfUQm/zdX/1xtHh1liv3707dNsWRucsylRQZIUNtjbfSQtchkA4o2z2U6hwA5Md8ZgpgYww9r17HlsaTYGuvt9bNL0XyBQcwYHzxzXX90TvfqSKaUo7bw+cTIPwIYTX6a3nTvEav2uWi/inynXcusl/vtyx2bCFdUT4lP/RQith2zvB9x86dh2W6lYt3XRB6sVdvkHYUVB4lkbrZE1AuQJ0UnCS70T+GwCqgjhvY43fLDjDQJwqSrco2QmfC+AtuWIAmgs66rzb9y7Zka6wu+r/DFrLAzQQo+iIq4mnwClg9+DqGmtRU1XDquNV8sypufMYIoLE7IR1ka2o8yC8/1zC9UuBumqP3ldv/u0x0XrpKvMZ+SJFUGOidsyLxaJSApmW01QwDO+KYJBpcZ4VYafzQh5S4FoQRimQw3qtqq6glOldKBM79EngkhBE8jP0clc3fVo3bYUWX+ef6pxTDECyxvHGJMG8AJUarhCu3yCeDTE9VY+LvCN1zHuuaG16vJ5wwT3n1MFmrLQSmHe32S3y4Mvx7+Lez29PnQ5ntubDxUMX+7/tyIYvw0BIj8P0KVTfZcS9Gm2B6OavAWgODbQhTxf7ZgaMPXNouBXLzF+mQEj00QoQ/xMyCErtjjPUNhkU3WXmvVoWWIl9cAhqrAVA5WML9EI1NEiwQceVnIflaI61iX1Vgl8INjOta8J8+GH5VUXGyxWB3ZnprooUoASD0Y1RHvkNVSuABlnckU+RkXXNqjJadU335clfn7qZGzcL0eGWxLgkL+z1LKCqx5wbxDKGrxiNGnmxoCCkEIQ7wjj/GGuFMZOuGxoQ7dNjUTe2HxKiWOmCHiiD9CbsPXNqvXBN35tMj3y1ISGbSQeegebCUrmBSGatSBMffqYwizmxOcg9BzMA4A2QVkXFTFgujyGstQB6ijA/3kJI4h+isTWnFQPx2AIILezgiMOfdk8a7BLSEyfJ+CduPohPLDVfycwCg39Nu1ua8phATAJqTYvoICK+PXYlXFAw+xCKueb+3PcIdacysVk2RcddBRjE1/4BpIQDJXC1RUGYq4eGi1dw2rWtGf5xE7zBG6YJul6DxwVMv0VbgzBPaWJhcKJH41JbKdVu+kAoA3S/FQEYDEkYSQ/MziHFdjVSzU8hjI2pMbQDHEEc/w5Af9LA3CnPyGfvHUZAA774B/psAg8WwQguzC8zq+ysOmVFi40NKEGSE1AAoKrLRO1d5dPHVI5lCjsgovkCJXYvrkaUHzUAwQ6UnPHZqqk4YpFVWicYhVQ4TmGOJ+2Q35UGWNFikNDLpUOeFJAHAc8VIb5asEgABfA5oIQE1uPUAQliCE5NS/emqsFn0hhEA+tMKQAgKaiaIQS6MBhIzetV0LAH7EVcQ7X/Ukivav4/m+V7H8GhoDe9Shs5PhoUEj22pWwRIFVjoySqg6VVSYRGWVzgvStUQxLh1UDVL8oopzWKGM82IOTVTk6CS+JqZPk+saduWCV1dcnFYuffsuDPoM+CyVhUedF4KjfQDBAcMbq5O7eZtHcVQ992hNosYaufZ2MGCFrhf8ooqsyLGkDmBnXsHJJQAMS3ypgADIxYMCtG5INkJ4D3XDUwcAkOr+HvQJAyULoaDAGsZmj5e2UmFblHoV1SFEeoA6USpCnLSyA7zfxr4sYykm5L+yuYdR8bfuVxh2ANd9ekm5UIt62EKsACJEIZYonKa/oLQkqQ3FVQDAJCemSDMpgXH6Bo1P9H2Fbxfd8w5uVbxgKwYOo8pYUgHQEyQEAPPH35Rmcre8wfdYkqgqCMUKK9Pr2SHxJeoC8CUXHhMADPWYKZyoMowXeOZj60yBNYjBtC994x2AraLiFd5RKvjipxyXW6sBxxVVoEiyl4ZUyMAS8y3xj5U0zBSDwLLqQJMwZRvCv2lMvMwMz1FunV9ebDQxSXD6IQyULcyKAwyXE7KDRwyIAmCqKEh63sfs11gQv1zHenl9e/OeQRocOa4xSkJSJa04XnaYTumDfyRnRDsJgPwVTnTI2A7BPygUt9SUNEK8YNJ8cmR/J9l7eokbKfA7XHmSWtHAAKD/gj+/cCiNFyicAyRlCiwnReUgoD8uV1Yj/oTwdrtxUtd8LxhXG+ph9aGOZFuVtUlJmazr1Z7wsaSujLz2bk2rqlAEw7dKAr3X4AlEUZO4tkCoA5kczaiHo7A8EUmnpHFxfQN6gGmRlCq+MhydqUq6kgzJDYj1P1aNRfkJtsoueIqnmI3Z9hFXcbJKDwMUQ5FSk199HjRFTiXorl8OkWAmo4a/zMK7kITE0s8UWImZ5bwV5hEXYSKZVPNqVMFQjjYwstAAgzsgoLPprH/bAs3b5fOQTp2H6SJ/tJaD0uNp/RJyPHFBdX0kHS1qOB/ydnHjSYqqlKPBYr0jGgxNTUnhS81T6CPbK4u8EWhXqbG4eDobuCVzzuPEu15p5Xvx8miUpNK8IgxRIqWVoutJYJfAlkMkHE6d48hq7VenI7TgHCIhWWD15fIYub4lQGNO6f2Iqaj8AQ9zXGJtszH09s8SRUGMWBqqzwc6TZGvtOPYY4poUoUPcYf10wG0cSqZ1LcwjeIDUTVwVEmtUezGznUEO110byEVDIaZzCxRY/HTS9wnNJSkODiJB92151x/OhBHUFI8dU1rCAZDQrvJ5tVX9aImsvW0pC+igQwCOLEritIyEhtgaLHD5HdVyq11xF6Vwpnw7zCnCixYGyMiDSQxy3ychRHmuXGJsWklE3vTRIyxgAsqE29ceFL9OfF1VHZl9rJmHzHZdsor/CKQgxNMDIPFMuN3Oh5TCCxRJKGHqLn1TdAiwHdZLDigs5GFi4woVbfBGLIm2BrrynveEUny/s/QdEWmoGDg3f3C5ckBSVvmCYNrsMvPjVLmChDYFYTBKc0GkcoAo05+2bVTjcFOsLsfmyHOLUdJLFCd78r+8qlqIwUDQKQKLDOoWKllZzeBtz7+FB7NJNG6Pjh6N/VijjYsQajBxm1OyxFiQqaBIw4ST4fpaRFbM8fTeJymdOHkKLbmnPMHJXROI25mbaC6iS0HV++pwAx7q9KHxBW5lqOKfrdYvptDnCNcrcBd36yTWh5KcBmuIPpkWpC0ERhKcLoxtsaafc+7SUjeNZiqmHT4tQ7EO1MwBAOB7KA1wanpEDwUVDzJbn5aRgfkUEAShsvLi0YMwtVWJ7CJQcb3W+L+jJMkpl7LAwIiWmCVIzsYT4baQoGrKfQ3xtX94357ugWCaG7TDv3B2k4k5oIeSYGWw7L0ZYNVXc2+cD7Oix+P4QRq30Brj0OLmMrj3U/+np0RVxIzw8i6PB7IQI04MFyxKCewPL4wpTxbjgjDmTWWcLXx7vF/OQ8SD32+KHd72JNSGRBLkERLEFRtbIXnaLc6DC6YtTWUyCPltL9RFsqzahirWdF7oXTGfO+wMQPS7IafR+2m6J5EC6wSNRtkzuY0RXzrrboSOdExiFK9byGMainscNYWjo8MMxmKY47WXkHwRSSpNCtZpYLlJMRyZciiDF6zAk/ydBouTVvGBM5exwtIQhcvPvQP9yxUQOMERRm30WbWYCzlWZ5KXDXM36GSyNw1TT0ZWmOZZcgspalC7+UhkcTQ6+cCp/JeCD2Uqq5M78QDVzhplxVY1D5EdrdESFBoMUsqIIPeJQV4sSJyiZxmbFIrwqIFViblcBQRCiZGhZ2MyRd10zIJ+q0Yj6UKUvxv+iuezwP7IAR1DRAZ1FPZaLK5LIUT9YtEWiJlVJrbPpwi05LFPIGb2T4ljZS5ZuvdsVaxqXPe5CUtqV8LOOznreJKHtRrLBNcFFYVdmHw1auDAJdfO9nFUuuJqMNsxJUhi39dSwWXLlRkSbS3Gtc7T+LHp8KGlpQPvfLT86076Dfptf5JzjKT4mM4k8S7XU+kwDrj4DJBij92WxaBU/GYB9Y+umZS/zIBRBMlukScFdogUG2RtGOoR106w9FFqTG3ADA4O6ZUceu4a0kUukDCClS0Uqg5L0MFZTOoQ2Cx38Y4L4NB09yoLNRYiImeZ5BStuPkD5KaV9kUKjJeFF+PXiC2jKO6KuiVKVQENW+Nc6jY9MWOnj7hnh8Cg/9yST4mo7Nd9AajonKfD7ub4e0khQssWWYgwRZaAJaQ2Gl1eHqQhfBQ3da9oYXlP9BaFETVfLqs9tjvvVWxUcl2TaMsXxxWEKwAL4ldu3N2cWP4WpGu2VSEXXkMIVmP0joruqDtsqxlWXl/fr493WtrLBteZvezwtp/q1LRnhxUYWxs7OjamsNHHIMUjlRZXPcaREWJQVSGsv18R/W2U5bMHTGGqCBAO48cfOO283oAviT/Jve94QCBgbNSU8CK2Xe4+7QE4ASazDJjPzFbgTELNNUblgCNIGmNCY8uCqxmWM0TE2Yt2WXTOBkc5gutGBTum2jS5QDEVqLCUdUeX13EreAR+awQ31f4mvy+wm09AvQAuogKcFkRn0NWNsGowJDyPjFmrr/UQiV+tWCkICb72MtsxAB3nzW7uoo5c/1Mxam+cd1zDqTYZY9AYcCb56a2kgtXsKCFc7Qj/eMDz3eZY2dKC4J5zh3uxbZSbNKL2YGLVmApymCxVVEJgQ7YXyXXMkZcqdFFtNcCCdjS2aRmjo/D8iURVhJfJWN8DYOOTQ4ZJD0iluKA9zz083LkrTQyeFozAuMSNnwDEzWWCTFajlVL2RdfekwKomwM1+5Qkkdad3SZSHZwDnMyGw4EBps9z/YTTnL70PiM1FU7IF59cyEVsoODjKL3qGegJSUXCiwwvs3FUcm0HVuPe7LZnbKByypixScqNWFIXxlWUl0+cghQ3vQMjkGM0a56tZWwsHBl5lmGIB60W4r5aTLi+u0cOMjRU71ChLHCXRwABvK7pO9S/gaMWwGGrbHeXj+/OLKMpwaYnBDJbFCBkhgzugvaXalUpouXpMkzasgFBpbKtVnaxieYUDOtpK46MG9hqGE4yC87BQr4gy9+V7Lh45YEftZo7sHyh54HfW0tSWvNwmKbiXvaPOjH1SSUrMnLQNoKgTdaYe1qvlbXbykjtvoYu8zre4pLAnQ/o/RMDKQUxouT2eK2oOXjcJTilXH0AVkQYJ2YjtHvtxswvLzyc945i3UIq526Mx0nau9GaoHY8VLhpWGYKoFy/qisXwLDQh74WwtGQ13lW2VgXP2myGMD6Hah66NNHB/mULLi1ws6/D5KCrOXosXi/U4vA29gzaFv536e3eyodUvfZkx82l7I4LMEjETXKFAHxibHzAIRSsSS1XwVpZBlRxpNVKQs+ilMIS6dYTBIcdlKTFOeEtaErgLH68Jopgb4ae/ZJddmYXUTTZgxYx+32/3Tp8+vdB2rTkrd6HwKWsUv4Shlzmibla22xvi86QFpho1adW7fDohsabJOwdxaM7woq516Qsqkk0CO2VP3rAbRDhz9MIQS/DytupoNY5zhyne4nyKA3wmbaAWb/YSOo8JKDibrk2F29JDfwhriz5ShQ5SUCdXcy8s0hkcFveIPNXmIGXuEMPOxVx/DwJ70JNEs74lpcQpfBUXVAWgnjIO05lNsGz1sVOkluuwGdQgz/7PCKpnxwY1pZwm/wCscpb51aKmPMl9Ay7GBUVVVNBKfgkeW85IrLC1leRJhymAYCBU3QKssOmX/qQ84nI2nzuqGU4FVLWHMBIRd/x3uvpuEMwNWgsPvTliR3UMTc8d1FYLvBODKA97szJpak5BOSxunB7OMYw2EGc4axZdOg5Zpe3kaU21cuvHAz0UVv6l3rWll8V4i5No8zdhG+4UYE0X4GYxF7pUaq/bZDSLZifdO2w/1CakPFbc8YQbwtBvTPVO0X79yqbbiBMKMnM1yjAFwYR12FlLSsgghzIfCh9rgbVdgUUq6NOBKfFDECmV3AAAgAElEQVQ0RlaNKapwQhf9hkZGESqFQcPTgVtLAEuknRWusHEpMKklwlQ2jjcm7cyalrqonAtUBrEUlHoOKkizN5cGQy2o4MEaYRhZGVhIjYaYooplOiazsiprrHLBWc3HARWE6KGILU9d1xxNLTsXQjBWMUjKNO9GifYDIcLbEVi5X9w7gJ2qzAkR0nTXeUZuZbdHCGaW2ywXBGX39J+DBSF8kbkSxlrDqaYiQzhYpRCl8wp2aLh7QU7zXCdE4UDwt1qRBWDTDxQc19Jp7iL1VRbnCbh+g6WNKLkej/ZG3swXqDikaYhysQuyXNYeSho0nmE0G9UzMUhIrUATbI6y+oot+Vmh808trpbxRIjc1zxYrSEtntZUXNNCwX6OeHWFcBVCBB2O8dojrTwrmc079kGubLtMCHpKpBwEqJ0KAyZck1Kp9uDdcas7AvdgJUXM6aRVUUwpe8e4iMOheGaBMURrZ4QVaEkO0TTHV+Slnnj68Sesd3xBPnKsMWc2NupudR9HpMUzTkOpZIlaF7tYn4Y5gThrTUHbBUESIqkNCeU1+uCUWBPmQrIr2rzrWJ8rpnUOdXHgyYFB5Bo2zmvWOXTLtIS0NtfoAN1LuRyJ8Ebu4oWzRzfsLBQeoozchz1Y9QJwmxkUrlQ9oTA5wqV26pFVehS/+4iwJByPAgac3+/32/NzQjCbY6zlXH20OTH3cbr0jfLzziK+fgh37HgLIUYs6nsrpCjbdnkyMjxwgpYlSpkHuPlHFr/6gMs3LWcRISmLE+KNX9q8kTzkVqDIPufdICj/ZRxfPoE3JNWrjP46rcBBsUnVHqZcnhVNuDKUKhN6BjvbffMNkouW7WYOv7UIpzW3TrbRA4+ktPKRSGlFpMWDfyuw/JkDYZaJPgCmCCBPm0cIUu/lji8zpH7UwfR6Af4MIo5ewpi/fvxRD3o8NAQsc5Rzs7yp+qzLG1moXdIjk33zealipdLQS8CcMQIGUK0ABkTFkBBhslg1gfqe2YixnxVmvktnm3A4Cks9DCo9TXBSJMIt1L54E9Zj3ilCojRoGhLHXCziqJ0HxQYoWZwXE+YkEYfDai8gQV2FF77thgqrBAY2ayuw8lbOHWGuu1FxAFPEDv6ZM2kuTEVtOoZtywbQLHGaKIfWNXVAlT+bE+rIDRRxNe5YZgsHdlhRB76O8220I8grDmzEcd80JBum5Y/gGtB1pE4cVhVyUUud7OgIdFCNhT9xen17Sz8fq0hYSlG+j22vDhVZq8ykYrSTd2YtnzQz45AIc3BsEW88iDgBXJ34TNud6jWclCCJxW1f4UXUcVUl1JWEylZgFdGdMr+3TxwPL8rBsTiMUdardoX5vbYZ6ngJzPCjuaB4PXX+XtWGxgYb55urM0ibCYdZQwPAj1S3YKkxRB2QYMxQPAfbY6frICGEJuaYNpyGqIsZEmn33RIZcmq+4zaMp3fznHf0tsg4CW1tKHSQCTlZrK260vMKkaSFqPTKwtFaQSbomLpaeLpIarX743uRxII8WXjJR4FypecAhr2Dtphc+6BRLS/66rPHbBRfqGLahDsCe8g4UfBZDYsP6DFM1gsZCLqOjA22u7+sGQwwI97kGqJfjTp2wSrEqC9nF6km7NjaoqjbX7DJOGZkN9Cq01KFVzKdxJxGoDifVKGwg3k21Vj4Q6c3/i4d23PV74SDTNSdt4YxWAUJZBdF+BgMTmqCFjcmcaBIXSeSBMjaLvILVz1qDgouJlGBMOD/giAFQCKxbFewgvPVGxmzgcxGHS9Uvb+/mzvcgzarA7pGYLVtmLAtFWCGY6tlXGPqUK3MQtFuJewxaaO4W+a6Hm8M3WhcfIE6UIwXEVcZdiZuK2cNihmAhym1JvSAId5sePqZTmipR+J8UgkqPo9rrKftOlalYN3hBwfZuLug0CHXUNxPjZYYmQdaYsN27cwd3F4fYzsxhxNDi7bYg5aiU656yEEYrZ1emDxOd+dLU5IK9xCF5GC02AJLG6IDwO/bKMsIiEQx6KYMw+I0XHUQz3MRROJpdKovlYjCx2tOFBJ2nRB/En5DzZugohy/3dbLZ5iREqOgzmQSYq46bn2tmA5hnUJ8gV3HfbYUqnZJmIiLkFdMS2R+GkrNpPvzDSAXqrHud9ktLo4ZVr9I6FosZhuNOX+3amODOtstlIu9w1YIBi0fCXtYOinTgiuLF7whhlb8NogKLNRAflMn/6SLNj0SA7FG8qYxKb5wWFKGaqcWoGI5bomwm/eeBrXFclRZeBxhhj7hbc/eDCO0lno/1irbJapk5dJPWrdfZ6TBqkE+YvaYuuJVCpIjYCrJrxx+ji57z/tlnxWadQvq8OIb8BdJdnEfnVkc3QIs4ej12RsNQuQbKOyvORoTWghMz7p2HwU2J71tAZIIWtQEl37YK1h03v4iB5Ngy3ctUIbTrn7pmXnbtuUBQyRYghYtknKSGIPARzcKgRx0CfpGo1hOPq3z5EqU0MQwKg5kaHJ8s4WQnQXTLLx2oi4YIc+yV4uF5llm8olik14zdpuVPJLPCvWfj5VUatiz0beN5Wi0zGzNlxwxlnBlMx+PFzC8kzMCQTgbzEo+gu07Zsq4kPDDRMULTIIEP0k4LgwTkqadm5IyZ+bt/W7Dsm+YQognvfrQpWa7zAJLOFALLErJK5iuPKQpaDQxGAqZvcvBGMNKXanJQ1RWEoxdvhg0pqg6wIKWVZwkuRg/DxBrTi19xYs3LryUmR64ce1+D31W+OljQo3lst+c2PNtbD4G/YC9AmAKGOy8DOZyPAZM+S7W7ICCiQKGFko6p9n4G8qegHmhrJdGYw2jnEIfJ1Jmos8QsmbYieHfoXxxf8dzhrHIl3mFQBaAi0yzfoWEQs59XVQQRwT7w+YcXwLG8cfsbRReAibGM0BuyGKDZrUfwYApfhmEk8NpMT/VLifDnWxsoLFrNe6pJ2ZOMXFuOQ1RbzB/V/g65LPC/frNY5coPcZwft6YEYzmWjA7AuXa5xhbq6Qu5aY0GCEQY+asLejJfETIn04y2waTxrW0uHGw//a0TIHFpWRNqAUM85ZEU1XlqQ9I93q/2kPLIK2KSeuii8ul3ATGwJ9AIvYuJdCAuRSDc205GApAYHZ1czv+aGgQmClffuzMTxygxgLQ/DNIEyL2XXYFg8UoA/sZu7NyT+2mjTm5BgwzCO4OBBowsLSJWF2GLBiNCqEbmRBFqY+ZkQjEsZx2i68QcCyw+F2a+cFwVPlqWV8VxugONSmvSKhnmEsnvB7me7QI7+KDLIfEXgGDC6QXj1CgWeFSDTDYjFxAoYd/5CGQVL9tGYaHwNgUfFCye2Mp4dUeZF5yOKiRU+5HoBOYwIWs4Jyxje/PeECW9wzSJm12EZes4IyChKcyMwd0TwPjExiLIYChT5UiYTzA+pRIArPMB6kCVDgUYCnow/peQMmdc/H2wZ8s8phLG6AoimrQPnYK2+aWghRVYzSuszONsM9RSIuhekGsUdNYXi7zlFnInOf4BxCBy5q3CtaGcb9XqD6tdUSOtzlRTcrwqNDpzVrx+ZGeAxiL8ZrfqLHwUUL1sxvsMoYteClChzTfU4qSG0SRaWypro0GicdhETYO1qXIEQuGkFPEiDhn20YuJIeuYA0konaJ1Y4vo3vEKNnLkI8J8kAGR2BXkKniKJtJiL9OCi+raUJcdtoSEhlto9zBnaQ0tqWtxA5wXpjvgjxKHAKYrOXgmOLGyMqINB/ELkVO+WeFu4V8MEnvdClyJOdrRjKTKBFYFiw7ZpciR1aSJjk7W6MnEofQLgDcOJy6Ltc45+D4EaGO1oYAwYW0O57GsswNWGcizMcGZgnE9rLzvK+zhexv2bcl0MEJr4KmQHkEQocmF5MsmER8qXuWD8ovIDw7btqAAsyjsYAQvlhFcdjtrAi1kea0aRp40hoqeu1nheHvhPbXcoXQjqFLkQM7NPAYFiGqKV42NkVAdzBvAjuPhBxhqVNUenpJHF5FjnaB1REjH/eP28tiBRYVVeaF8H/6tBg8i23x3/4C6E4jYVtZ7EJVRMc6CBtIrcwjLC0pqo5Slvpgjk0ZFAlHw71zU1RJcY92u6MBSdO2FHJyqM2DUHTYiqdIeO0gW2Ntf1foL+daaf3jDTkQZN3XL7NHQqOzLImYrmtHI54eCuJzxbamxRUX6vUIi+UMjsbjQTOHegWWRmY545vf4j77o9qKvkMCr6/FNlU201u2TSD0Jk/CWlV5QFgaT2DC0CZkTQ1ANoMAaxePmDwuzTUQSXhmrSuqq/CSe60iu1kNP6dscGoQhT0/a/D06CmaSzXWx8cznt3wMviWkiI4tBLozYZ381zZvFGjBA9Jj0SXrxiweWDBUH9azfFSwSPG6jrLcMgpsYYYM9bww8gapldN0SiwBuSXKhv6B4vDIIduYzHm0AYwawvot2AJCRuNYNHyuASyK0C0FxDMI/NnaHz8FRZygEYBGpJr2kw0ukDMBmRmwN4J+7MEjOYu0jCYohJsQuPb8/PL/f757f3ts8aWUaI4PYbdCmzOvenhw3s5eBJ4hEZaz5kw00EqWhJ4dNQUS9HCQxZRHdu7/LTwZAnoWC29Np6wqQs8afAbOOJJJZwVchi6zFtff9a34wMDkjiYRrA414V7KFfq3iORszo2+H0t1WReOOpaBMnrJFwJGHU8tGK5KAF1dfxjPE09b9h7J+zPQm7XaxN/XVFjBRe1/awwfD+WntkVktYPaWESOPGqMExpKJSGQlpJer0YgwcTK9kYRKM4ZShFTQXWgFCZcIe7OImcK/9FfTzAvPpYXHoGVwNcgCJEl6GLkLRfNhpBeH7pclASh0yjULkMoSMo2cmE4XmKdjPCJ2ZpSyx2BKSHx3OCdxhWP6zV4Bkm/yDY0BivTW2Ntd2PdZAw/9Rz2XzlAY2CRzpwjFdg0MQmAaCyylRQV+HJBqQWpHH8VBZYw6IFFo74E8LNQ/SGNo0+3aviygcWIkwSR6CRmaQ6dbHXFe/2qymgxUw08j8vKCewCW2kPbMQqi26ZAIFJCijp6zTSwkDiWKKxEFKUjvEWDxaBgagEJNsbgmNXGPVPx8roFataQJFhVgNk4hGOSqcNn7YOhSJrRk8zB4iviQgVcgTRVCrrrGswBq4ui0/tMZ1XtY7UgmUQA+PUUvaOmZdIEWyBPOAwAux9BAVzQXMGZUgzSxaCUpLpY8oRKvfr30c9KO2knJ5G0VlcyQmpaqiGTr0WSn820BSEl1mVmpULUUpWV6fYbJ+G/tWY3ks0qEwidiBp0wXH6F9aznMmX46KIqa7RBmDhQZJi9izVAEk5wfm82zE3MFlg0YO37F3/wGTN6E8ad/FeykzUv3rkhFPyYb4pCEeMswsNYHcoz4sGL7CWmWQEjc5BCVW68bNv4AStehSMw1eS0ebLS2uZQH+BCRPayxEy7xRA3qLEWlwmR5y9qOE56VRjXWh+b3FWY1ZgeoUZTVZAdYLqMxOR+ShRb+LWtnqeUvFDm4gtCdzj9QpyheYM1MOvUbtQtum3Jr4ebGf5+uzQiZEluXh/j8RaWo0TAJieCRNzDE2SGj5SJPEU5Y1IouDm32Zo0bHnVpy3y+DZ0Hr4WpnNjaA8kwKVGphPn95fn5vff7CpWwGDGGIpyFwklLl09mVmaP17LC2wYsBYlWGcxYbLmBIoBSyQChAks3lRVEwf3jLialx25XqjC6fQkVmVdf8qWxL9hrEgVzWcTJgjYsAkmoBInpsFyHZZXcoUg+mHGQ5HrVsLDMlFbOKABwkFzjtQe1kCQsgTkdls1Gmc8K397k+VjNchQnGooUJVpRQmZ2jdvh2+9ar20zhx1dD4nZBAy8xEocPPpyC7prX2BdtAPgGe7PL89BfLiJ1T5NXXzRA7Fnbhjdo7WalMtUuth+NCOSeO2CTQ5S6jQ5F0QmtWa6lcDUiUkCrhOlMZqKKltj0SrVh1daVzGQtX/kLq6bRT6srvLZoRrr7f1lvRqLg0gh4auQSfmBBaUThU/s6ONrIAkJEd8IORiyFks2L7V5xBZYCqHYBuA0a6uo+I0X31V1GlTbsI55tcj7x5sUwVGrHLosbrWLfUPfCRGZrgLIsunCbqmsgZACsBUg+aGJ1W5O+0N+k9BVV8G/K7C0WcM1E0Hym+yxYy8blnaGzu81PyuEbV2+s2yqkcmCuiDpuMuTMhMSb+tQGAxdDxNt+mux5BZdHrtvhzl+oVybNTowUbMJW/Tu4z9NQFfbpslTsSxmk0ZTTBQEdbHg88Dc2+nzjAds4WxLkVSSIa5fT2UMN+WLMtGpUfIJoOFyj0Ett7KrUiCK+9QgFWvMDjxAspXA4HWehGXveV/o+VjAeyAqaYHttGxi7oidowWShTbo91hIkjnBZc2FEuLeTRxkdqVYCQeAkoPy2fYKVvkMrZG7K1VYDJCrG9K60rTMbpeTsUciklhELGfGtoN4hJk6xjOfTCfxWSgzNgwCEO+UZJZ5AUpDvmiGT3SCRclQCToTXVndxK4+w+S7+sSaBds54ON+p7DkV6colel8HevTUp8Vwi7QU+I7Ck5+EZ0qdMSFFEKKC9DvEaNLiCrVbQlt55MxaUIqhZ4a1+C7qQWWpZ03LFvS4gYscXDKsrq+0WukDo3a6PPat3mBti5tEtVgzxd0JqocA8cocVnDZ1HArfZRKm8/5cQ0jAxcrMq5Bky2ZFVyQJETGqyQKS2ompVFJu7zJ5UOkYHXNJv7sV4X+i4dEIF1HPWdZbBmrStwa9QtlhBSRBUbLYxClMpqFDFR9xWjUhxYC+mmqDsgCm/b6X96oZd455c/En9CqPcMd7hVxbM+wJWOmU3hlGBxHUA/v732DEi87dtiZxydbq86xWdsmrRXBNySbqohKs3E1oulLv8TOZV8QgpmlKJiBRz/Y5cAIG3mzT8yEUpvROUlEHBcStQszLiO9XF7enl9m6WwSM+ZKGHUROdVzl3uee81S+9EvISiH5+nIY0NZ/c1CtKbBkgQVrL6BlzBsp/9ySUqzkzJ9ESlV/8rqaJf/KUSnCPZrWtZelV26nMIxSi9CL0sljp5DT7AFPixRVkdtLrRWniITvcmqg5C/WjDfoMT6nXZGSBqsvu8VR9dZPNRWT6iv/l+LDwfa8XrWAIapOEVNWBiB2BMDqqsccJMIapdiI6k1BAF9CO1ZMk5DChxn06BZYlm79jP/g5oxpwusU5GmGYppf2faRUlOtWoKuAVXRBchpQ1xHJ0t6JunadKuaowoiXIV4EWilJihOe3CjnrAZ4AKuu88/g5LWFU2rqJUhBaXPjPQVVlpf27wlVqLENpMKiqDBsweEH3UfjluHKUDqAkLBKQ0BFIC+Hhk1qzqNoLLM4DnAugpCe3mrxZy0jjtFo1M8dL1EIjM/owBq4W9Owys0MTNuvCnih1Qqywlt8AgEtn7cVdi878HEZVV3CaQOUwzStoGkGopPLbqN+OmkQqTNpQKQjbiTCUFtdV/mRkX8OV33rpsbmOdenzsYRSBA28JmTIwWpcrYuKr0vLuycXTcKeo9S1zzmA3tXcB8MTHqwosFxFJQI5aHtT3v1e9Az3vfN6le6lhc/skgz3KrZKFoBAOEn8lBKOiJ9hfQrCQ/QRq3IloNuRynyv6UFwlSOKki2/QEg+UO3g9t/CO/1U9kA7JPWZdvHz0u8xE3Odf9RRNgq86jqWkApGYlGKdoyJ9TZa2z1tRVQUkv47Vf5wKpcoupnICBDHPYoHMwWWywDENNOdsb6yO/UM94AoQjDrNVCXZZVSgIRLqVEDQZVCWHacsCp84idtOH25YAjZfZAGkc90BS6tEYdcp0Y3qxGALO9PTzdOoyN0tMskrvq2593ybweym9mPaidO6WTqdSxLK6jIwl+TrgVRCamdAZ91R8MA8fJqwM6oAgUWc4oYNX+00mD8gCn5NaOptOANfa06iVTMgg/EDbUSaDx2vLlMtICcOUe2f2g8sdpM8lCCaV31bc+j2PVCy9RVwmDBdqUDace7OQGEBelqQ+VnAB3G9lLaUO1l6J/RdayR36UjrFK4SLgWW7AmXYugcqz6pH41K7E4RhoH+k7kAuvwd38mpe4SXqMqhWkXwPD2mj4D4tt/m1w1YG3qI7OmbcFGv92paPEndddmhAtCLULpBc1PT3dUflAsOTVJrCa8Hem7E00t2rL8HJqWbaO1tgBISw33lqMKzx/TOqLGUmF1Tbpk/dXmLi3XiV7BcJC5Ll0cDUHMBxOmnTonvshFkWtuvM3UCw+TbXdu84qq9Pa/m/XYJ1M8ZVaRrQBUGZtigEFMeWqZW92Z1I3SqUlqR/ruxPct0bXmNT8f5enYELtRexoxpmFNutRqLEkCeqyuSRdCYzIwCVcoxSsRmOhdcTEy6BWBfXzwdxHSRwIXvPCI0Yg7Uz6+AGhOpYlODMtdU8lJetT+QcFtiKVwoItVtWGRnVErUM09mbcWanpigoRYotQjFceD/LiDcST9eL4bzCc0YsCn9mdFVS1nugyrvDv6xFaJ7R98BtYvs19CT421I7Yfyl7CmnQB4xxgtORZ156V6JkE9oxEEYUQ7hC60CcIw4Nmtb6/v0MV0nzgHqxZGOhmlOfn5726fLbdj7/sTNY8wYU/vV1qKKCHYaeHBbkEyJQqEBvZmC9mclbA+H6gt1HMBmxXINYXXXh8JP14HhUjlV+0+7IO0Ch5AAguYzVkvQC7xsshPNJWW2Nt3A5eL0QUK1uNsXF+hLm0/KCgidtxwOLhk+8RW8i0JqPyCnIjoBoPRsAofDkNMODnlQXW6S+LixNuzs5h/bwKKSyv2aKuvvAxjFcIlroKB6pr48zYCkEGDNOygKmrOJdmuaW8iZHqfj5KPJ5nFRKw6/JmEJ7JBdx3VUIPApPGaooTsvS6pMZ6fsN978mth28Lnsoq0o5LQXr29kvSj3w2s59bfWD9ZLGES4ChrpKEcLhmlIxyJYMLxKyZDQS4SaS87/eHZQEZ8SEr0xRHHe9xGY0r1vi49h6fMf+4XeIjzKTtCS96uJUJ2wrUcApPqpgSGxpgPNAUm71mu6urXC5wLWsBXq8kFX6oxnp/fwk9g1SYpBAhcmeHCulUDH69aFABZrglXtWIlSUAyXKgZ3GvpJnA7u/vyLa4WIXXGfelBRavpDOmBVpMzuRQXCh4hlxdmE03cSs5VHGpR40QF0a7L+tAVKnf6m6qKq6ryLCmRErA+jNmQHWgqYp9HWBVKr3BJiPI1u+14/BaYHssu7NlgdHzsbxnNwi3QIvXzoD5JwxAIf7VkbcCm8AtvLYiY4MXJkyWTwMPl6wOnr+swMIjRvEZ5QHNpacSirLpL7DUL+WiVnkuMTpukUCnZlHoI905fLX26ozXqJepqIKBTCvvTvPf+XtkBPbHQJM3oe5wfio3gZuL2vnAColbFhhdx3p9w//4rHBqRiggblnSqoAhdDEerwKLe4dAi6jrFaQ9X8zXxUaFFXObLq3ElEsKLHI5/oSwBJ824Xt5Nn2yG7ZQxJXi/bhvZ1kG4NNTvcAbv7laNWOZ70BOV7jTXnTSkfv8ukq9fGxJlwG6A01FtFw9yGYFeiuAVyEcjNTN44V6s8NWAyb0gtb3zy90Hev97S19P1bWwgEDViPNmZgFZujFuOLQdcJ7DkTdV7wEYJrcaIW65Tn0aWCQvckFlpetZPcNghraKAEob0knx2C3XR593bK0BZjrREwv4cTynrvCxaCVKTpQDqhV+Yirfrq9yuTOK+g9mECnAcYDTYGJTU2wvYq0ciU2MRC95bMeYuQ40irMt5nBpxfXsXAzFsosHFSImjJ0CdJClgqBh1Ug0Ysu6Q3Nm9EG7QdgM7QW6BBa2rBhFm60goSGS0LTCqwrc5YEH7xALAvTaZdcCTaF7HSNKDV4Yp8QzOhK6B2DLOa06xDp2Ml3rNPtt2zIpE8AoSuTjMJ0h1t1iLBS8tjsyJLfu+RQMiE+RhdYXE9Lz2XYmF+KWiAIAcflK/xR4bcaK8RNqs06lG4QwDFeqdET+4BE1tQ6kJz1gq0cmFyywt3rz60XWScUWBHHR5odF50Hft4sJ9QqHQzOqqn9vRIsIpjw0MJmgvkCS61FKuOztABrfQyoQMsIAapg0UxcyiVews32zU+gMY1husOtGfuv6/bzgyIKcujKwTYLm09vNjJwGxYKrG81VkUcWn6luqqYOGWoJNs1F0IJNiCXG9j5TwO77hQfWmBFVxbQj7jD3UZdZ0Uf3PKmBGZOyeXIhGHeeSVQN8SXYItG2IZr+SPOkYLS1FVCbay+mWUQuD2myDDd4dahMMHQEVuZPhfAx/Atm14yqhlbifDOMcOxCb/mLVcFWLrnnWqs3POxKkSqDR1OWg1SG8BbdmhbCDU6G8cuxdvBhhg2uWSF3oZPAw8q5HRQgZXJuYiJ4EMjghDTjXZF09t88JIeXNLr7Xclw78HY+RSCgwFv3GG4z1DKKrz9GRwlRabGBZy14QapjvcWmn9jOHCMOAmAlgbxyXvOPJGMAP62MAwRUMHv4vfj8XM6vOWd5gZQSGM3HAmmFo4vs9dxcJHDRRIFBvrpbUDNvlyGzx//Xb8dpkuctQLrLKc28c4hxOZHQy4Lj6+TRYGvKKKWC56FQ4rkpUY1KAGU1Zb5HSxiv9YFet8NWyO/KdbDFuDE5xUnYMsb16WwNipgC02HUvVpSi+hxSSiV8NhnE/Ft3zjr1OdZPTIzC2HPQ0nCRRckBjmmBmf900snCKA7X4M1bQq3XJ6uBAxQJrbArz0iUF28GM78npYLMNx7KeGygdvcIHm99gcfUUS7FE8MIGWWi01nbv221Hten6E4DtHHKG4a6LKQpQg9gU5GqI6McmJEMOXhqINhl8z/ui92MBJew9h9yGXvGIKWaCSxmeh63ezAWx2U8DP8kN7IPcqlJglUbA5peyZSnLGLOq4mzT8tHYhVsAACAASURBVPUdlfFWZbeQzIJBc9XUeYNXxVXEgLlYFf9jH8o+CPIiYeMHnXDYJ86fOsZjKdfg54ryWUNHLripOHvbsNlcgdkDg2HlzwpBYBt1jvnMgY3jNorHYstAz3RLzMA+OciMHtl9v7/jIu7hBvZB1HUWWC3LDJUjPumMEWgDDHFMoRwb9j1uV9iLTaIEiaB4YZIV3Q8zFYirCTsTyYZf87eAUQGKH9tEdeQ6InTjtgROi7npF/VLPlkzjCnqFthRgp4px2bSBSbMyhXy7IbPr6+vnz8HwV/bWE5dOU6zxLopFgFfQdSVU1c4EpzIK/Zp4AjqmgusSDIusBVG3p53f/qIFpkHC8XIAjHf0yHtGzGzTG57BJLbwysRF+3cJYTuujiOqZAD/rpInrV17eDKSYrrVF9A1Jwmmy84kOkHGpYEOoeOdi2GukjsCc1CcruO1pn0FToL34+Vpq7c6EEka8ErN6R85Hxs/GkgLuvQRassTl14DQVWdyqjcopyopgKe/DKmj1twEJQum3eNh4wPJ5lFQ2PyL8JZmN/iwWYQ86avBBSSHd9AHYBvH38G5LlDcK+a+WzFahL8HOGJzzD/bOj8YRy8Xvez9SdLEg0EM1Ds3IfvARyhS4JrdEpBfLxPCvUGfxpYEWpowivQitWXCe1FFPyp1MLrN6YLVT9xfoepF14XiFFVhE2nHbt8oWjmaoiWZBVxl48OMV1qm8+bAlm6E2QjC4MSwyYD9vX+BDwBDCg4uWDv/ZYPitc8xmkYIa5qtsxTHKeQjOUfD/XBaymL7dBYdXx56gq7JUXWI2rTuLJrV4KymuX7Neq3RI99F1Rlrzm9TwhKqCiLheGrJWiCj0mQ+rtRhAYUjigLaUn2jcPHltswzlVVx2pkWsCx9Zv50kGLNGT/ZvEtOvEZ4VfxbMbDNGTeYa65py8c8OYE3V45nFWHV9u4xvaD6+kwIrmXB/K7tgt2tP7TnJ2weegO2lzT6Ztcwpm2SuC5KHJC1cBvRFRH14dulv3YIpoigzc60MftnYgSE0dngpTwFN9Ano4PP6cVHTVhrNJhSl2r+zrz9S66Cme+QVg4vgJzm02wXxWuOR3QsOotHOJWBmUX2HNDKUmioeX9a8KPFiHG63AQuwG9hRByb5OeOkCqyYiYCIDNcEUAU1/8rN2gRUBvlIzM00XYzg31jhpJSuAfy04RzS7i1VmG1oc8tEEc55Bnel2QhFvg9K0TR4mpJ3GqoNx8KpgxAYvAc8SLanDh7oEPB/Q/vgRPiuk9wfeuy/iGqzitTflmjPAGLR4Vexphsc3sNPtAeqllW9XM7xYgVUWE265Agsg+IhixwvfKmEhF9lhB8/6bakmfQ9eV5EFs2g76CkJUjz2ST5KHHqx6gBMTpuXcVAaNWaIznRHxap02JAGiBK/qOi8Voi+f8vssUzzfh+fchW8OKJdD38n9Nuy92MRVi5i+PeKQb24f2vhuU8D51yyATx4FktJDsjdBa9ggZVMu3axkroqVQVoFhhCF4YWgCEQDNdEs6Xa0r8Mxj2QLHfZAXt5+mfBFbK7WIUAuBxlv90ZEzLdMf0IwyCBsfHndhfAENUI4izUtvTDs5JG/Z6J0Ke60J6Z8Aoh+cNWvh9L2BYCfcxLHS/uX8ADXekMg158Hoirg0MvWcW8VkvgocCKZDxYxAq/0qJqI3N3iXdrnnlkuOZIk3ibqb1bV3zTjMRWt8YOAZZrLqniyDs0VE+tXcBhBRmuM91hmZ2tWw4Zq12HwE5jr53eR/XiBK52P5aQDdLwErfjAI3u9NpYOGsXYIsjDMKju6x4h8Yt7Ge7prVUEegKrFPWk8Chq1RqV6qItW83YAUDgdkmH8B7J1cEZyzceLwKuJRBu4tVj8/1MQwyXGe6j9JC5wjQYPoLjaU3o9L+NcR10ML6xioCK8Sbz7YVUsgohBXGpIaaGuva74SWjL19tLADvDiBwLo4QsCTWgpQwbS88FHgOvVDIYEosJBzTdqFGRImZB79U359u8PdJ3Q0276umcf+VUD1EGozxBRVQMO3nULIIsDC5rStvIxJme4wktZWiW2oHJBF8pgKc19e0LARuggN28S1mpd1EaoTed11LCKbFiixnXotTiCgr47w6UluYAfUSz4NTHmX+yQEEBCJWHhBN14iKzEuq6xsQApKmYSHHwW2ZWWOZ/tKrtLZZw4yU1dBGbiWfMiwKOAz6XEOwLAWYKQgKUeY4TrTHQaRbAW2IEIill8V4JOKmjtjCJsFqk/sRziabYqbhVfK9OtYxDcWZXls97tYPeoOApdFSKUVHjjwTI8KdXF+AL/IaZrDF3TjtQjWrxWGhIjw/NWzjWC6Np7snwFyWH/dsZ0hOtOts9xs/qM88nWzrcNXrxSTTPLXUHoVoZSArikx1Ah1Uo1FhRUQtkQ3zbHTG40cPE2sIkcvsHgBg260ki+3eTH3Ly2FMOiNBEJ3D1ZwonajeX+rLVZPnmY24UTIQQv+NQXrmasvCXZe4mTvYhWSYe6jkuXdgYDJpLx8QOVHdLofqZAiG69OQWOmA1eGwzF6y6VWIeR0QrJn8l2FsNxwxZHjaiwhnNjuDHCe/jWFoqL7nCgqrLjIi30auH4oBhHOK7Aowr72O9zNmkTU8LJcc+NxMa17sBnbmY9qYJknVlU+YB1QUZBtgGs0Xj82jzs/otkKF+G08czd7BswB1Neg5xxU7IIhfALqc4iHEdOoWTtGosoV8/f69N4FcL7/R2M07cG5sqDqxAWxqFbpDAHUGXWvAILFeqcB4KV03Ee2bTvbh9JOVrPkr/ilsN+jtMmGksZOl6sonkHCAWiJIkWDLxsiF2iG4C8lfkRm7Sao+A2v36+qzHxsrFBGoVwdOF1GTKrGBj8PcM2L/Rbo8YiyonrYZSvT+NMhKDbXgKnvw4sDCYgxMjFo9GncV6BBVqEnUIqLxlW6mdyMQFkd+c/klK0ZYF8u1kTpWtA+eIYJ6VLsbDxoXkEM7c8EiXa11g0yJ+QOTaM066z/sqN2eInu9iYddqF8gUJX5/G5hqLVhkiABZqL6BzXK1Po7CwZZ6zDd0t9GEg7i6ga1aNj7N6IBonFlhckXR750oBJv2Z5Xglkst1j89FZKJ3sQprSlMnLVEk1ct5zAIoglg0KKtKBkiQ47iEcaLRux5eqGLysPVBEkJ7Q9tkcsrVrU9jVY1lkznM0lw+WT7XpxEmDAKJJ5cR3U9PN3sDe5au2AAIQdfiyQcgJxZYMaqWaj8vNrlUBZAUGFOXYpiYq+uCCRTwnVVkPV8bHKZwwGW2sMtaW59u2fJFjRy/rmrF+21eHQNmj8ckZJbbjXaLOgGzRwPm4luaqbHe3t9foldHxIQLk/n6NEpIavma71+nN8vNl6xigb4+k5MKLHJV8eesMTZnthNgvoJy4ToM23tpkTd0A3DXq5bjPOyJka1FRBcNSqNEnMuAZs7Xz3EwcDWQQvuB89VABiPn0vQTRHRspBrr9e059Jx3yur8Os6Zfv4gvu6tp+X7mGGsemnlPLY4k7MKLP7M1ZGy5oHJegBnF6HCDqZv6jWXsOqoKB5t/kBAOOef+oQ9lsQjdcdztibYWGOnLawQ6TXTvo3tYsDVVY9Me++m28Vg2eS3zy8vb67GItY5zCmtlwmYMQpggGwpSGez20DCLly1grRxdZUPtQ2kL2Hc8awC69PHbaXg9giVpEc1FRoXD3eGPTtHNOjDR3vpMpAvm9CPqX8g4HldfJ0GuR8+/ixENKJyn4VDg4qhmViXdxDFs7IDV05wDvyFIIV2AMDL4QkeYMDe3cFRFzc+BEhcx3p+fbt9vN1f8DDtixmLqed4WCsJnaFK0BaGJX8aiNJq4CWrM0K0VIEMShjUeBsk9yiWd9Rj41XneEeDeDEfjsA19LoKy+J623mxnz05AxECjneIRWlF1dW1rxPIy+AUMVE06GwCBztxL6H+vY12GG5X/Zkk/RZDu5SzxRlmMsg2s5cGybzDrvfPL9je8Flhm42zZtGinhmWbXZlPY5PA/HCsOfnlzkXrs6GZEGep4xumXQF6/KdlHh0uyknu8bNarRDlpGvxQ+V1sw8op/LqmUsXARIjmjijd7l5sbtzXEpG9NJwuAXVEDjBEWD7dAQz9QT6a20Y+L6ZK4Hkngnzj3ezf1Yn97fW58IoBEQeRnrkRnAHAQJ0uXTQHqYVWvAB5S1NgVBtgpTmDejwJKEowC2QQTrxjzy/QLub7AgMIUTSaBdqal/N+aLVUBj64JlmcdORkXfRa9SxQBZ+vdlNt79XeYi65ZUOy7/CvPk0hX2mSnkjyOzCr5hHmhCC4rux8I9799qrCpOI4N9j8vfBoLyq65XRTCa9YeoCAdEbNqY9hkFFjyBx+CPwR+Uiv1I9vbdu5ng0EdsHFcThBJUBUPMOo2Xz/7kZ8X86UNhL2XnYGIeCqaU6NJxsscQ8/NtsUT5yde2rfibKdJbQ5Z6XeYfiMzLdjJmHkThlY6zbzVWmp/aXnwUCO5RV6381SyIissi0yN0RoElVzI8pSMOebXRBgPhtLNn1twICLNkjjCtWSZ2KvIvbVjg3hOTy3qz2FpPj0dSHNxuUCxZmKC/tK7yTQDoFZKaDyl4rFBUQwReFPKjAj3m9KBFFzbOxslBT8ujhvlvNVZ/hID4u7nLip4x5pJPv+RBEmoCZBCET1MKLM5FQyyQNAfR4HK3JbVo6xbQorRhDhUzDdPiUxqksUu9uuok4tQQV39tT3/clOMvJSUzTlIbhfxM8CVmAo9bkiXjLxoD3sBhA3tuU2mY22BrM84GXT1T5uDcwr4J67caq4k2miR/G3h7uj17T2Cf4/RmzP7EtsXuS2g+nlJgNaMLTSSypB3ZXHWDUS9cQvAV2jLbb42GWlFUUhFNwvvuitVZLYZmRpznTG8BAzOWXynRqXG4m1QC3tA/nasShY+SdonD4gtZsrXD/PnMz9dY4uXzmIE4mX1O9qnVcYZ0buEa6xWXX77d834m59wC4uUPA/FR4O0WKBXg9BnJ84yssuVCnAHWKsEXDO8vg9zb4oGX5JUvCxXw0jhEpRAsz1WU38xoynL2uAC8CtACPasPKeU6MI43F7KPcsQVG/zq3HbgKwlP2j+upv0h9jD4QR+nZB7V2u3t8+dHuee9I7R7p5ob2PFVet4lq6BQcY6+64PKOhqvwjm8wEIJjHvhmpiB12gebTv9JVoTgjUnBfbhGqCF0y37iMzCGTUgvidjS5k7jjPk77f246BVOUTArJ9wQV4Cp/BPob9A8APDo/NZFapkLLtnUNp/lM8KhbTJrsd+LUuj6m8Dv28hWh7PwwssvLGpWyec2zitTU9uCyTTEs+VvPOOyUlv0lzQ0g++UJgeG9PweO1D4qyUvN04jn0iMAzpQTbaB4oA5tmuJ8s+Grl9ITuAZ/JG22Z8H07jgAnko8b6/PoKGxf/rBAI+ygtdSOod58GtvE/B2epPfFxk3FOKLDitrqe7RPAkR8BOnUPfrDbk4ttSczaJ7bEwGJljzZQc/eq4M8MNfzH6qpHIxN4J2exHoY49/CbiraNpUd3zdxHobQBJ68+iZoaRvrGvn7+/K3GAoX3O565QB8TZT8NzPLd4PqszBEDZKFr5vw4yusKLLurkLVLXDqyb2TjZC3SUws0uOOb29VhEhwwhv9BYhfxQhhGkOvAULogQRd3Df3F0x7kSkbA4vWabAYiZA8Rq6VRcjXVILNk9xL+MRivSyB/z2ss+TSQb2BX4/8qVzbED6CWRGmDZH/KhALLc952pWq5lEZVvIfU52i143KY55FmU6F1QP+Nfj3EHxISCf2+LyPTroCWZwSMdpau/Dn5qwHzeV83i6JB1uQpU7YEFZsS3jf8r7EDfA9rLP5uG3prV3WXVW1UwMu0yaz9EoRDoY4tsFAjo0A2KwpsL8/42vFg0BVewXLRbS5WcUk1O+gLsV7NO7jqWmaO64ghXFcRF/3851RFEHzvm20WCrgATV3en8jtY0Pld7H9S0CX7+9PjUWXrFD33G5DSyvxzmMHql6EDSuwOJ+hWH56wp8QftsU9DxWxiZVDPwfFFNG++aBrAfaKErO8uoqqG/7W9oT7m/VwImSRIPUVRiQ3tepl7f/hKhvXa0MUCqi16pvsL/uGgtLAI9dQHijsEqvglb/hudB17f3LcoFFhEqbLMneWNPbkFh13xrTTGQuSpE+4RsFt/qqhSNx74MrcfhdB4Jba6ruJ8GyKDIUBr17TWAAVtYle8oDf4fgDsv8nH2LaqqzBa7fPijxnp5fYBnkILS8gBAXYXX7fY04ZJVMHDLoQanz2wcBFWjwPLepwPlTFK+6bIMmPeIxL+44JsfLDWlv6tCN0Qv7+nUsZcUGlqKKTyOvPwgl1sGpa0wL7ydSxf01vI+GWrMhJL21aHKSrA+MDVWiWGXjuFnkH4lNZa9gT3/pNDRlMtCfIgYUIcKq1sLLFlCcA7yGKeycDqrznKj3f2VySc3CP1rMi0h+xCkI4BLs4AX6/bNBbxAr5Ol55bTkKaGR7nc0mRc9STORjQr5II6aaUxUCdVfzQsXQ4qLwbKR3s3rAg14pDHqrHIiH0iQEjg+5jBP2593jshYvCs5geKARWosjYhqqrAwixyCO0jBd7DAzbg5lke/H7psbmV3DBqD1didJ8BlIReJcZy7ddVWAwhOMHG0MCvvU0lYQVJMvmoKBsFBRwbBeqxddXzghw8B7rbF6IxPy4G1C1EjfUoz8ci2+laNv29Hj4KlAP/+5jVyekR+EAx0LOyxAtOQrbAsouHfOlmFfH8cf+4vUSXXJGIb4MsA+Q2OSYv2EPbu/RvFCMW8NI4AS4RrdwlbzBoIJ3mRo+0FjEgK3mkkkVlm5TECUkd4mMRe20MiCMoHyWWgvXQAxH7QPdjgV0prXCX1fqXMx4oBiRsq9aXDD4shnCBJSsHOjC6ZPHYRbT/XbDq9hOuPFsRrHUDe8EHSFeF/PMricvqfhigqJjCWOm6rbt2m7E3LCEz6WvvRgBXpaogH3Y1UFIKDtBqHCtdCyXLUSG2HhG54pSU8mIuQpsHdh5hPyt8wjfpnntXaIEPUFoBidzA7lbHCtgSGGTxAq0cJEau0FUYsWJO0CKvwGIXUXLBwMEpbAXujhjWSatynQR4om54KPc81GeE/srnmgoXDqNuOIZQpD47DdNpIFgPdHWw2WjOS5hd7oZmVWaiRjnYi6F4Pmjxg7Z4Xv3A3QZRP51nPFDQymeFSAL3xWos8+U2T7u/DZwXBo2e3017ILQUsfHbc2XpyZidhfbkBSNoEM4To+zoyt/r1CwlwC9GCy+QE+hfFIl08MZfYtG3MS0MkCPYBfKjTETUZWXTG0chEq5RXI+3IaW6FaGfmXL4G9DmRA7sH43WOELLDRSyjxG57vlYK9RY8IK88FEgbmE/x9PoMDhr7Gl5aLRwBGyHCXilSXgpGZQWEezlx28senE1BPiaBW/8BEAFrsp4MmTVEm25EFwCJL9HobpKVkwd13WjF7F3WRiyKAAvm7yWNeGrAQZfDNgg5MrrY5C0Qo0ld1mBr+zjrOAscdlDkPtYC1y4BbG8SZTm/FE1ED4ffiz6ZkYkbSH8PygilnIlCJzp+9M/ngm7TRfQUrW/5AvA4AuBx54gV9jHThcivtIbwGzhF6K9clgaLTnCWxS0Li59pdFeCi2gXBktrQlaFqO88FBxixrrGX8Rzzc8Bagf2YTS6u3tDSsBpVW2uhIgo1w20syHkI3sBG7xqtogvHuwdK28OD3WGYN8Mjyfm32ck1aNsociMkL7DH4jqkPNUlGhh7j1fVHHdd3oEJDvXRvS08FmKqr4de46jJx/Ssn0Qe7GBTn9aMUX5IiTm9TJ70erDikh0FzHwn3lz8+JYVpdcASuUGBh4LPAl5fGPfqBQhe8rYxWsNG64FdV6DY6TyuSvno55BsYiX/WPeUmH/cibybWXqLXG/jtcGOA3nkQcSFPVLNZPWHDoXpUtdpVNTcKk2yFnzI/6I1G0QOmreLmMtMag4GdgVUx2ReNaMuoUB9FNdaXV3CEr55RF+4E0l8G8hf44nsDXWPbAXlzsXe2CUPWDAZJVud1wdwW7cFjYoWy52OlpoTr67vgFjDAWwh5gjb0OjbyE1h4PbLv4wx2BldWtIOQM46vfRMNMbv/cSCf550TnPatEQzQurDvVtkZe+oX5OihPswCf8EAj/HK7jBPXKjNUTGZVe1AKyFRNeuqwa/ffX5+G/VZIZ7ATt9vQ38b+IILVzo2PhS9SwWDhGVqNXHqykbvkCtYeKZs8M8cdIJmVSnGJYCXckse/fJ7Tt6Ey0e4AomqoVBNZRBGuEZ1jLo4ZEWwMTRwYtuKmPbmu6Uhvshmpf3si88IM+rCRBRdDPCoHvSmYt6WuRiTHnaUO+YcGLKAx2hukYoaS57zrnUdC7ajrgIJhbdY1YJ+LHolIK+NB9EuSLJsZ+kdUmDhA2R8dpwF9xUMIGeIGWC6OwWvv1Mu7jK4g+uiMk/U0V03eipRy25R5I//v71rQY7bhqFOvJ7coblCcpq2l+y0h0pnktzBduo+AFqtfqQIEPzZ1ow9uyIBPjyAIEVxJXLIpmvQ17GmLGxFVZ9mNAZ6ZZDY6Zj6x8Ydu2q1TzAeiZTaTRvau/2uMG+dSX4bCNvNu6wSwYfjIVFB7WqtAEuv4WhUmCz1Az3u7k1Mg07ZMgyelKt2I8dpQ5EKBgwRbV0VaUNWC548oXXHCd2b4s1XLcA3V3/uHSHihhlO2XWtMr45braA2R84mXblYW7WLjjUfPtu2o91ubOtY/16fsY1Bz3NKm+Klk73Nh7SJRvVrAxYpkc53SME+H2CpYmga56CTI4z9k2GxqF9zemMWiCoqU5BiQF1mleJJ9KHjgTq1issCQJ1SAy3whyU4Djc5FHJbV515o6z8iPtTc/59vc6plzd4Z2tCqAHvTLIFdBdRKXhXiFvYKek1eR9zMMxXAewRJ1L7z4E7LSZbhvDA4xJS8gU9cEDLph2rNOsyntkAFMWsqKIg6Y0LOAVJpf2Ybr4g6jT+kPBtVCsEHCxzqzEj2A1BOoh3Dy5I7WDjLS7WRgRG9XstBAAVPEDu2OMGAbUgRiGV7GOdf8rac87dlnR+200j7MqETXDMVwU8JyyHKneA/ZfwRrxEaMHGYjpB1/lrv4OGnV09atTRfMdjOLsEsukVE03uf7Vsehp0JyhJp8odduklI14VgdgmNwz7I1HkL06B7xxT/8MbwDH92OBfGy0gghuBXYSNsMxLLz5hrFoK+SRDWD/FSw8xqPareVNuNu/TpfdYL7gYtUS3vvQvWQj9JmcwQcq0HzH3CfUdE8BEQLW4XlwQ9Fb/rh5hPyhZnYJsA7gZYuv9DP5BKaxQ1YewZmxSB4OMK1j7Z7dgHkVHruA6RU/gP0+s5v4Bq2AeZtRMXcTX0r32uYw9l/Bij5DaI+k/Zkr6UBSoyOs8l9763tEMC1WiT8y+bKIs0z3yxW1Pcf9BD3EsZNAFbQ6KizNSW+AiT3YDFiWOC/NllF/bySfmjHvx8LjFuS3gZhXYRP7qWDDCsORnAOYuwk9eKdmP6G2Xl4KTLBG6epyuQ8aOEXVifVRuHFnIyWyefkF/8QhHlSpdagF3InKUShdWvjL0bOU5WkV3ytNceFS8pV+Bg3NJ4WTUwAlYWLVA2BtLAyH+fFy+fj4iEnV/cOD1thW9YcjOSXaN2RKVzUIbvQYv+K3okbJmFi3oxTf/qN5FQ/lyE0J6SlmqKYMpHTLi8YOe10m/UAcfYAO5sfTJWq61QIHxrQ+FSJZi+vqE7rmo/RUrKdAOTtfC/Bt1peOcnVKMgcjkjwKZixZ4X3M5JhPnx5e7pq8Ezo5ELYVRyF5izvhu2QVGJhQt2AV5wkWdvU1N2nPFnEtI/g0VKxIp5LCx6q9wm31q35NNKUkPoOAocMRN3Sp1R0IAJQgdITWuypxCt+28/VJ74Zr8NUPDIpD6ixo+SBQU7DXx5yCKl7HbGxcrVcpvdrm+Rkg8aRQ2XZM79JJ+12hF4Z8PSMGBqyOZGYp6iR4nG8RYjqPVynle91DA1ISZSSoasi1MR162N+nDop+LIhkDBUndqkZVwucAGhaLOlSG/BztoJgfTpsmJvSzCmFIrksW/NQ4eKWwmCLOAQMuNjuCA6QsIGd7gYevY85/rtCRxiOqgbtgPvYkDNdBUwnkyG/aOHxm1cwaBhve7Ruv631t9ZpiRCxL14pl+YtdFtkboaN/omdAiO6SkmjkCrxXAYtOQZO8fZL+91jWrrAgIyaWsES9emHgZjwYWp1iY2bNMd6fMJLUmzPeS+B/FRnVzyfopUKS8wSJN79JRFIrFosUGJyoTIaS2sflI3mQaLc+K0x622P2xNTcywQG/ALu0nDoqaumvEkgQ577CkphJnH52BN7jDilCQWgorcCpa50k1pYUUlMPM4Adyl4q4E5sI0ExcyfJZuKKgf72P+j7a+YGqF51kFqy0K6HeF73OsBSGFPkpsQDk+FGoiU633BKuenXQHkC4i+chkwVe8U1f7GhnWJvPdg5AvFBsWuhUyjZN7mOdICfWLXfHkF+kyu9L3EwYGJL/nJ3dxTZ1U5oXZQJdZpBVmeeYCutLh3cC4OfOzG8Zax4JRY2Q8uVznPtMzZs8JFsIR9sbDLreUUxG3wht5ctU5yxc2foG2XkuLRqMfTwcJQD4c+KNazwotPFhkznB0XC6O6fgiT7hrNYi29Jxks+quofwZX+NsScpx25XDA/vXgQONGqZWswEj7scSqxGYFCRdHhO2NbzK4ZFOzOWaftNFgjWx+a/MDndeqkKz4LRXt1cPxuoNHrmdbwLyMmLiIOGb1i0cWGSOTO/6nKQb6jH0t05FXQMfD5wts/Mg0dI1/pc65V1no1qFC37BfkkoxgAAASdJREFUMgGuBL0GshH3Y4GxClSr/CKVZWoVymcdYgbgjz++fzeYWkME6GQZkH9zRrOrXo9+kZVhDBNeJGjJ0TTnLdNKTCuaVLdqkQEG6bcxMJ2Vcb+Bcwh5E+eY+RiOarGUeE47Vq7RR3BaI0m1xqX6OigkmZleCfMqfiWzvNzG88YO7hVenp7Gej4WeOsrQngmcNrRpEKhCEmPpbnmz58/Pnz58vX3P/787fPnU/SzWOgDngriMPH3XeQIYV2dt1/OpWbWVXMOX+yIMxqnQZsOvJ3DaDdCPz/MTI0bAU8Gu8AWXeX+c15Z09skTLIs9ImQLAgW4XPYlNagOSsOLciiMuewo+Kvo1DuBpZ+H/PD09Pz5YL0NxZpg0ZIc9gA8O+3b//8/df/63rKHvxEZ9MAAAAASUVORK5CYII=\"}}]}],\"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-sol","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\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. 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\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_3PioMtYAkDBd7YQa07Zmxvtl","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Clear scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\n# Materials\\nred = bpy.data.materials.new('Ball_Red')\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\nred.use_nodes = True\\npbs = red.node_tree.nodes.get('Principled BSDF')\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\npbs.inputs['Roughness'].default_value = 0.22\\npbs.inputs['Metallic'].default_value = 0.0\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\n\\nwhite = bpy.data.materials.new('Floor_White')\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\nwhite.use_nodes = True\\npbf = white.node_tree.nodes.get('Principled BSDF')\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\npbf.inputs['Roughness'].default_value = 0.38\\npbf.inputs['Metallic'].default_value = 0.0\\n\\n# Ground plane at z=0\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\nplane = bpy.context.object\\nplane.name = 'White Ground Plane'\\nplane.data.materials.append(white)\\n\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\nball = bpy.context.object\\nball.name = 'Red Sphere — 1m Diameter'\\nball.data.materials.append(red)\\nfor p in ball.data.polygons: p.use_smooth = True\\n\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\n# Set custom properties to make dimensions/contact explicit\\nball['diameter_m'] = 1.0\\nball['radius_m'] = 0.5\\nball['contact_plane_z'] = 0.0\\nball['lowest_point_z'] = 0.0\\nplane['surface_z'] = 0.0\\n\\n# Camera\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\ncam = bpy.context.object\\ncam.name = 'Presentation Camera'\\nbpy.context.scene.camera = cam\\ncam.data.lens = 68\\ncam.data.sensor_width = 36\\n\\ndef look_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\n\\nlook_at(cam, (0,0,0.44))\\n\\n# Key area light - large softbox\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\nkey = bpy.context.object\\nkey.name = 'Large Soft Key'\\nkey.data.energy = 850\\nkey.data.shape = 'DISK'\\nkey.data.size = 4.0\\nlook_at(key, (0,0,0.2))\\n\\n# Gentle rim/accent to reveal sphere edge and gloss\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\nrim = bpy.context.object\\nrim.name = 'Soft Rim Fill'\\nrim.data.energy = 300\\nrim.data.shape = 'DISK'\\nrim.data.size = 3.0\\nlook_at(rim, (0,0,0.55))\\n\\n# Broad top fill\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\nfill = bpy.context.object\\nfill.name = 'Top Fill'\\nfill.data.energy = 180\\nfill.data.size = 5.0\\nlook_at(fill, (0,0,0))\\n\\n# World\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\nbpy.context.scene.world = world\\nworld.use_nodes = True\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\n\\n# Render settings\\nscene = bpy.context.scene\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\nscene.render.image_settings.color_mode = 'RGB'\\n# AO/contact depth\\nscene.world.color = (0.8,0.8,0.8)\\n# color management\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\nscene.view_settings.exposure = 0.15\\n\\n# Camera clipping\\ncam.data.lens = 72\\ncam.data.dof.use_dof = False\\n\\n# Save and render\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\nprint('Render:', scene.render.filepath)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]},{"role":"tool","tool_call_id":"call_3PioMtYAkDBd7YQa07Zmxvtl","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_9aJ5afTvWc2gp8ThaSzWwS76","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800\\nscene.render.resolution_y=800\\nscene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'\\nscene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False\\nscene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Eevee quality and soft shadows\\nif hasattr(scene,'eevee'):\\n    scene.eevee.use_gtao=True\\n    scene.eevee.gtao_distance=3\\n    scene.eevee.gtao_factor=1.15\\n    scene.eevee.taa_render_samples=128\\n    scene.eevee.use_soft_shadows=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\n# contact shadows on area lights if supported\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT' and hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n    if o.type=='LIGHT' and hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact:',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]},{"role":"tool","tool_call_id":"call_9aJ5afTvWc2gp8ThaSzWwS76","content":"Error executing code: Communication error with Blender: Code execution error: 'SceneEEVEE' object has no attribute 'use_gtao'"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_mAEZtzzTGgkIdJouyXwaMD2r","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800; scene.render.resolution_y=800; scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'; scene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False; scene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Version-safe Eevee configuration\\nfor attr,val in [('taa_render_samples',128),('use_soft_shadows',True),('gtao_distance',3),('gtao_factor',1.15),('use_gtao',True)]:\\n    if hasattr(scene.eevee,attr): setattr(scene.eevee,attr,val)\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT':\\n        if hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n        if hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]},{"role":"tool","tool_call_id":"call_mAEZtzzTGgkIdJouyXwaMD2r","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\\red_sphere_ground.blend@ for writing: No such file or directory\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_WCRMKni9yzRLSFMzJeYe50HT","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, tempfile, os\\nscene=bpy.context.scene\\noutdir=tempfile.gettempdir()\\nscene.render.filepath=os.path.join(outdir,'red_sphere_presentation.png')\\nblendpath=os.path.join(outdir,'red_sphere_ground.blend')\\nbpy.ops.wm.save_as_mainfile(filepath=blendpath)\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('saved',blendpath,'render',scene.render.filepath,'contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]},{"role":"tool","tool_call_id":"call_WCRMKni9yzRLSFMzJeYe50HT","content":"Code executed successfully: Info: Saved as \"red_sphere_ground.blend\"\nsaved C:\\Users\\gruku\\AppData\\Local\\Temp\\red_sphere_ground.blend render C:\\Users\\gruku\\AppData\\Local\\Temp\\red_sphere_presentation.png contact 0.0 0.0\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_9mBemTtQAyZtOWpHf9taBJ3E","type":"function","function":{"name":"get_viewport_screenshot","arguments":"{\"max_size\":800,\"user_prompt\":\"Verify the finished exact-contact red sphere studio scene and presentation.\"}"}}]},{"role":"tool","tool_call_id":"call_9mBemTtQAyZtOWpHf9taBJ3E","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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{"ts": "2026-07-15T01:02:01.949343+00:00", "type": "assistant", "text": null, "tool_calls": [{"id": "call_DHG9JQeTAUb7ugKxuMookNJ2", "name": "execute_blender_code", "arguments": {"code": "import bpy\n# Show the completed Render Result in the largest UI area for visual verification\narea=max(bpy.context.screen.areas,key=lambda a:a.width*a.height)\narea.type='IMAGE_EDITOR'\narea.spaces.active.image=bpy.data.images.get('Render Result')\n", "user_prompt": "Verify the final presentation render of the red sphere touching the white plane."}, "raw_arguments": "{\"code\":\"import bpy\\n# Show the completed Render Result in the largest UI area for visual verification\\narea=max(bpy.context.screen.areas,key=lambda a:a.width*a.height)\\narea.type='IMAGE_EDITOR'\\narea.spaces.active.image=bpy.data.images.get('Render Result')\\n\",\"user_prompt\":\"Verify the final presentation render of the red sphere touching the white plane.\"}", "parse_error": null}]}
{"ts": "2026-07-15T01:02:01.949343+00:00", "type": "tool_call", "id": "call_DHG9JQeTAUb7ugKxuMookNJ2", "name": "execute_blender_code", "arguments": {"code": "import bpy\n# Show the completed Render Result in the largest UI area for visual verification\narea=max(bpy.context.screen.areas,key=lambda a:a.width*a.height)\narea.type='IMAGE_EDITOR'\narea.spaces.active.image=bpy.data.images.get('Render Result')\n", "user_prompt": "Verify the final presentation render of the red sphere touching the white plane."}, "raw_arguments": "{\"code\":\"import bpy\\n# Show the completed Render Result in the largest UI area for visual verification\\narea=max(bpy.context.screen.areas,key=lambda a:a.width*a.height)\\narea.type='IMAGE_EDITOR'\\narea.spaces.active.image=bpy.data.images.get('Render Result')\\n\",\"user_prompt\":\"Verify the final presentation render of the red sphere touching the white plane.\"}"}
{"ts": "2026-07-15T01:02:02.113981+00:00", "type": "tool_result", "tool_call_id": "call_DHG9JQeTAUb7ugKxuMookNJ2", "name": "execute_blender_code", "text": "Code executed successfully: ", "is_error": false, "has_image": false, "image_b64": null}
{"ts": "2026-07-15T01:02:07.135386+00:00", "type": "llm_call", "call_index": 7, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T01:02:02.113981+00:00", "finished_at": "2026-07-15T01:02:07.134873+00:00", "duration_s": 5.01600000000326, "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\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. 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\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_3PioMtYAkDBd7YQa07Zmxvtl", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Clear scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\n# Materials\\nred = bpy.data.materials.new('Ball_Red')\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\nred.use_nodes = True\\npbs = red.node_tree.nodes.get('Principled BSDF')\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\npbs.inputs['Roughness'].default_value = 0.22\\npbs.inputs['Metallic'].default_value = 0.0\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\n\\nwhite = bpy.data.materials.new('Floor_White')\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\nwhite.use_nodes = True\\npbf = white.node_tree.nodes.get('Principled BSDF')\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\npbf.inputs['Roughness'].default_value = 0.38\\npbf.inputs['Metallic'].default_value = 0.0\\n\\n# Ground plane at z=0\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\nplane = bpy.context.object\\nplane.name = 'White Ground Plane'\\nplane.data.materials.append(white)\\n\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\nball = bpy.context.object\\nball.name = 'Red Sphere — 1m Diameter'\\nball.data.materials.append(red)\\nfor p in ball.data.polygons: p.use_smooth = True\\n\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\n# Set custom properties to make dimensions/contact explicit\\nball['diameter_m'] = 1.0\\nball['radius_m'] = 0.5\\nball['contact_plane_z'] = 0.0\\nball['lowest_point_z'] = 0.0\\nplane['surface_z'] = 0.0\\n\\n# Camera\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\ncam = bpy.context.object\\ncam.name = 'Presentation Camera'\\nbpy.context.scene.camera = cam\\ncam.data.lens = 68\\ncam.data.sensor_width = 36\\n\\ndef look_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\n\\nlook_at(cam, (0,0,0.44))\\n\\n# Key area light - large softbox\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\nkey = bpy.context.object\\nkey.name = 'Large Soft Key'\\nkey.data.energy = 850\\nkey.data.shape = 'DISK'\\nkey.data.size = 4.0\\nlook_at(key, (0,0,0.2))\\n\\n# Gentle rim/accent to reveal sphere edge and gloss\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\nrim = bpy.context.object\\nrim.name = 'Soft Rim Fill'\\nrim.data.energy = 300\\nrim.data.shape = 'DISK'\\nrim.data.size = 3.0\\nlook_at(rim, (0,0,0.55))\\n\\n# Broad top fill\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\nfill = bpy.context.object\\nfill.name = 'Top Fill'\\nfill.data.energy = 180\\nfill.data.size = 5.0\\nlook_at(fill, (0,0,0))\\n\\n# World\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\nbpy.context.scene.world = world\\nworld.use_nodes = True\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\n\\n# Render settings\\nscene = bpy.context.scene\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\nscene.render.image_settings.color_mode = 'RGB'\\n# AO/contact depth\\nscene.world.color = (0.8,0.8,0.8)\\n# color management\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\nscene.view_settings.exposure = 0.15\\n\\n# Camera clipping\\ncam.data.lens = 72\\ncam.data.dof.use_dof = False\\n\\n# Save and render\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\nprint('Render:', scene.render.filepath)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]}, {"role": "tool", "tool_call_id": "call_3PioMtYAkDBd7YQa07Zmxvtl", "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_9aJ5afTvWc2gp8ThaSzWwS76", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800\\nscene.render.resolution_y=800\\nscene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'\\nscene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False\\nscene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Eevee quality and soft shadows\\nif hasattr(scene,'eevee'):\\n    scene.eevee.use_gtao=True\\n    scene.eevee.gtao_distance=3\\n    scene.eevee.gtao_factor=1.15\\n    scene.eevee.taa_render_samples=128\\n    scene.eevee.use_soft_shadows=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\n# contact shadows on area lights if supported\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT' and hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n    if o.type=='LIGHT' and hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact:',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]}, {"role": "tool", "tool_call_id": "call_9aJ5afTvWc2gp8ThaSzWwS76", "content": "Error executing code: Communication error with Blender: Code execution error: 'SceneEEVEE' object has no attribute 'use_gtao'"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_mAEZtzzTGgkIdJouyXwaMD2r", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800; scene.render.resolution_y=800; scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'; scene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False; scene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Version-safe Eevee configuration\\nfor attr,val in [('taa_render_samples',128),('use_soft_shadows',True),('gtao_distance',3),('gtao_factor',1.15),('use_gtao',True)]:\\n    if hasattr(scene.eevee,attr): setattr(scene.eevee,attr,val)\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT':\\n        if hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n        if hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]}, {"role": "tool", "tool_call_id": "call_mAEZtzzTGgkIdJouyXwaMD2r", "content": "Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\apps\\console\\tmp\\red_sphere_ground.blend@ for writing: No such file or directory\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_WCRMKni9yzRLSFMzJeYe50HT", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, tempfile, os\\nscene=bpy.context.scene\\noutdir=tempfile.gettempdir()\\nscene.render.filepath=os.path.join(outdir,'red_sphere_presentation.png')\\nblendpath=os.path.join(outdir,'red_sphere_ground.blend')\\nbpy.ops.wm.save_as_mainfile(filepath=blendpath)\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('saved',blendpath,'render',scene.render.filepath,'contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]}, {"role": "tool", "tool_call_id": "call_WCRMKni9yzRLSFMzJeYe50HT", "content": "Code executed successfully: Info: Saved as \"red_sphere_ground.blend\"\nsaved <home>\\AppData\\Local\\Temp\\red_sphere_ground.blend render <home>\\AppData\\Local\\Temp\\red_sphere_presentation.png contact 0.0 0.0\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_9mBemTtQAyZtOWpHf9taBJ3E", "type": "function", "function": {"name": "get_viewport_screenshot", "arguments": "{\"max_size\":800,\"user_prompt\":\"Verify the finished exact-contact red sphere studio scene and presentation.\"}"}}]}, {"role": "tool", "tool_call_id": "call_9mBemTtQAyZtOWpHf9taBJ3E", "content": ""}, {"role": "user", "content": [{"type": "image_url", "image_url": {"url": 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"}}]}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_DHG9JQeTAUb7ugKxuMookNJ2", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\n# Show the completed Render Result in the largest UI area for visual verification\\narea=max(bpy.context.screen.areas,key=lambda a:a.width*a.height)\\narea.type='IMAGE_EDITOR'\\narea.spaces.active.image=bpy.data.images.get('Render Result')\\n\",\"user_prompt\":\"Verify the final presentation render of the red sphere touching the white plane.\"}"}}]}, {"role": "tool", "tool_call_id": "call_DHG9JQeTAUb7ugKxuMookNJ2", "content": "Code executed successfully: "}], "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": "2026-07-15T01:02:02.113981+00:00", "finished_at": "2026-07-15T01:02:07.133324+00:00", "duration_s": 5.01600000000326, "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": "194209", "content-type": "application/json"}, "body": "{\"model\":\"openai/gpt-5.6-sol\",\"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\\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. 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\\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\\nball, plain white on the floor.\\n\\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\\na soft believable shadow under the ball, a hint of glossiness that catches the\\nlight, and clean framing.\\n\\n</task>\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_3PioMtYAkDBd7YQa07Zmxvtl\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, math\\\\nfrom mathutils import Vector\\\\n\\\\n# Clear scene\\\\nbpy.ops.object.select_all(action='SELECT')\\\\nbpy.ops.object.delete(use_global=False)\\\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\\\n    pass\\\\n\\\\n# Materials\\\\nred = bpy.data.materials.new('Ball_Red')\\\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\\\nred.use_nodes = True\\\\npbs = red.node_tree.nodes.get('Principled BSDF')\\\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\\\npbs.inputs['Roughness'].default_value = 0.22\\\\npbs.inputs['Metallic'].default_value = 0.0\\\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\\\n\\\\nwhite = bpy.data.materials.new('Floor_White')\\\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\\\nwhite.use_nodes = True\\\\npbf = white.node_tree.nodes.get('Principled BSDF')\\\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\\\npbf.inputs['Roughness'].default_value = 0.38\\\\npbf.inputs['Metallic'].default_value = 0.0\\\\n\\\\n# Ground plane at z=0\\\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\\\nplane = bpy.context.object\\\\nplane.name = 'White Ground Plane'\\\\nplane.data.materials.append(white)\\\\n\\\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\\\nball = bpy.context.object\\\\nball.name = 'Red Sphere — 1m Diameter'\\\\nball.data.materials.append(red)\\\\nfor p in ball.data.polygons: p.use_smooth = True\\\\n\\\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\\\n# Set custom properties to make dimensions/contact explicit\\\\nball['diameter_m'] = 1.0\\\\nball['radius_m'] = 0.5\\\\nball['contact_plane_z'] = 0.0\\\\nball['lowest_point_z'] = 0.0\\\\nplane['surface_z'] = 0.0\\\\n\\\\n# Camera\\\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\\\ncam = bpy.context.object\\\\ncam.name = 'Presentation Camera'\\\\nbpy.context.scene.camera = cam\\\\ncam.data.lens = 68\\\\ncam.data.sensor_width = 36\\\\n\\\\ndef look_at(obj, target):\\\\n    direction = Vector(target) - obj.location\\\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\\\n\\\\nlook_at(cam, (0,0,0.44))\\\\n\\\\n# Key area light - large softbox\\\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\\\nkey = bpy.context.object\\\\nkey.name = 'Large Soft Key'\\\\nkey.data.energy = 850\\\\nkey.data.shape = 'DISK'\\\\nkey.data.size = 4.0\\\\nlook_at(key, (0,0,0.2))\\\\n\\\\n# Gentle rim/accent to reveal sphere edge and gloss\\\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\\\nrim = bpy.context.object\\\\nrim.name = 'Soft Rim Fill'\\\\nrim.data.energy = 300\\\\nrim.data.shape = 'DISK'\\\\nrim.data.size = 3.0\\\\nlook_at(rim, (0,0,0.55))\\\\n\\\\n# Broad top fill\\\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\\\nfill = bpy.context.object\\\\nfill.name = 'Top Fill'\\\\nfill.data.energy = 180\\\\nfill.data.size = 5.0\\\\nlook_at(fill, (0,0,0))\\\\n\\\\n# World\\\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\\\nbpy.context.scene.world = world\\\\nworld.use_nodes = True\\\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\\\n\\\\n# Render settings\\\\nscene = bpy.context.scene\\\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\\\nscene.render.resolution_x = 800\\\\nscene.render.resolution_y = 800\\\\nscene.render.resolution_percentage = 100\\\\nscene.render.image_settings.file_format = 'PNG'\\\\nscene.render.image_settings.color_mode = 'RGBA'\\\\nscene.render.film_transparent = False\\\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\\\nscene.render.image_settings.color_mode = 'RGB'\\\\n# AO/contact depth\\\\nscene.world.color = (0.8,0.8,0.8)\\\\n# color management\\\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\\\nscene.view_settings.exposure = 0.15\\\\n\\\\n# Camera clipping\\\\ncam.data.lens = 72\\\\ncam.data.dof.use_dof = False\\\\n\\\\n# Save and render\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\\\nprint('Render:', scene.render.filepath)\\\\n\\\",\\\"user_prompt\\\":\\\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_3PioMtYAkDBd7YQa07Zmxvtl\",\"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_9aJ5afTvWc2gp8ThaSzWwS76\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nscene=bpy.context.scene\\\\nscene.render.engine='BLENDER_EEVEE'\\\\nscene.render.resolution_x=800\\\\nscene.render.resolution_y=800\\\\nscene.render.resolution_percentage=100\\\\nscene.render.image_settings.file_format='PNG'\\\\nscene.render.image_settings.color_mode='RGB'\\\\nscene.render.film_transparent=False\\\\nscene.render.filepath='/tmp/red_sphere_presentation.png'\\\\n# Eevee quality and soft shadows\\\\nif hasattr(scene,'eevee'):\\\\n    scene.eevee.use_gtao=True\\\\n    scene.eevee.gtao_distance=3\\\\n    scene.eevee.gtao_factor=1.15\\\\n    scene.eevee.taa_render_samples=128\\\\n    scene.eevee.use_soft_shadows=True\\\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\\\nexcept: pass\\\\nscene.view_settings.exposure=0.1\\\\n# contact shadows on area lights if supported\\\\nfor o in bpy.data.objects:\\\\n    if o.type=='LIGHT' and hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\\\n    if o.type=='LIGHT' and hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\\\nprint('Exact contact:',ball.location.z-ball.dimensions.z/2,plane.location.z)\\\\n\\\",\\\"user_prompt\\\":\\\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_9aJ5afTvWc2gp8ThaSzWwS76\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: 'SceneEEVEE' object has no attribute 'use_gtao'\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_mAEZtzzTGgkIdJouyXwaMD2r\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nscene=bpy.context.scene\\\\nscene.render.engine='BLENDER_EEVEE'\\\\nscene.render.resolution_x=800; scene.render.resolution_y=800; scene.render.resolution_percentage=100\\\\nscene.render.image_settings.file_format='PNG'; scene.render.image_settings.color_mode='RGB'\\\\nscene.render.film_transparent=False; scene.render.filepath='/tmp/red_sphere_presentation.png'\\\\n# Version-safe Eevee configuration\\\\nfor attr,val in [('taa_render_samples',128),('use_soft_shadows',True),('gtao_distance',3),('gtao_factor',1.15),('use_gtao',True)]:\\\\n    if hasattr(scene.eevee,attr): setattr(scene.eevee,attr,val)\\\\nfor o in bpy.data.objects:\\\\n    if o.type=='LIGHT':\\\\n        if hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\\\n        if hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\\\nexcept: pass\\\\nscene.view_settings.exposure=0.1\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\\\nprint('Exact contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\\\n\\\",\\\"user_prompt\\\":\\\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_mAEZtzzTGgkIdJouyXwaMD2r\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\\\apps\\\\console\\\\tmp\\\\red_sphere_ground.blend@ for writing: No such file or directory\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_WCRMKni9yzRLSFMzJeYe50HT\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, tempfile, os\\\\nscene=bpy.context.scene\\\\noutdir=tempfile.gettempdir()\\\\nscene.render.filepath=os.path.join(outdir,'red_sphere_presentation.png')\\\\nblendpath=os.path.join(outdir,'red_sphere_ground.blend')\\\\nbpy.ops.wm.save_as_mainfile(filepath=blendpath)\\\\nbpy.ops.render.render(write_still=True)\\\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\\\nprint('saved',blendpath,'render',scene.render.filepath,'contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\\\n\\\",\\\"user_prompt\\\":\\\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_WCRMKni9yzRLSFMzJeYe50HT\",\"content\":\"Code executed successfully: Info: Saved as \\\"red_sphere_ground.blend\\\"\\nsaved <home>\\\\AppData\\\\Local\\\\Temp\\\\red_sphere_ground.blend render <home>\\\\AppData\\\\Local\\\\Temp\\\\red_sphere_presentation.png contact 0.0 0.0\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_9mBemTtQAyZtOWpHf9taBJ3E\",\"type\":\"function\",\"function\":{\"name\":\"get_viewport_screenshot\",\"arguments\":\"{\\\"max_size\\\":800,\\\"user_prompt\\\":\\\"Verify the finished exact-contact red sphere studio scene and presentation.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_9mBemTtQAyZtOWpHf9taBJ3E\",\"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_DHG9JQeTAUb7ugKxuMookNJ2\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\n# Show the completed Render Result in the largest UI area for visual verification\\\\narea=max(bpy.context.screen.areas,key=lambda a:a.width*a.height)\\\\narea.type='IMAGE_EDITOR'\\\\narea.spaces.active.image=bpy.data.images.get('Render Result')\\\\n\\\",\\\"user_prompt\\\":\\\"Verify the final presentation render of the red sphere touching the white plane.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_DHG9JQeTAUb7ugKxuMookNJ2\",\"content\":\"Code executed successfully: \"}],\"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-sol","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\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. 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\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_3PioMtYAkDBd7YQa07Zmxvtl","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Clear scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\n# Materials\\nred = bpy.data.materials.new('Ball_Red')\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\nred.use_nodes = True\\npbs = red.node_tree.nodes.get('Principled BSDF')\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\npbs.inputs['Roughness'].default_value = 0.22\\npbs.inputs['Metallic'].default_value = 0.0\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\n\\nwhite = bpy.data.materials.new('Floor_White')\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\nwhite.use_nodes = True\\npbf = white.node_tree.nodes.get('Principled BSDF')\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\npbf.inputs['Roughness'].default_value = 0.38\\npbf.inputs['Metallic'].default_value = 0.0\\n\\n# Ground plane at z=0\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\nplane = bpy.context.object\\nplane.name = 'White Ground Plane'\\nplane.data.materials.append(white)\\n\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\nball = bpy.context.object\\nball.name = 'Red Sphere — 1m Diameter'\\nball.data.materials.append(red)\\nfor p in ball.data.polygons: p.use_smooth = True\\n\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\n# Set custom properties to make dimensions/contact explicit\\nball['diameter_m'] = 1.0\\nball['radius_m'] = 0.5\\nball['contact_plane_z'] = 0.0\\nball['lowest_point_z'] = 0.0\\nplane['surface_z'] = 0.0\\n\\n# Camera\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\ncam = bpy.context.object\\ncam.name = 'Presentation Camera'\\nbpy.context.scene.camera = cam\\ncam.data.lens = 68\\ncam.data.sensor_width = 36\\n\\ndef look_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\n\\nlook_at(cam, (0,0,0.44))\\n\\n# Key area light - large softbox\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\nkey = bpy.context.object\\nkey.name = 'Large Soft Key'\\nkey.data.energy = 850\\nkey.data.shape = 'DISK'\\nkey.data.size = 4.0\\nlook_at(key, (0,0,0.2))\\n\\n# Gentle rim/accent to reveal sphere edge and gloss\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\nrim = bpy.context.object\\nrim.name = 'Soft Rim Fill'\\nrim.data.energy = 300\\nrim.data.shape = 'DISK'\\nrim.data.size = 3.0\\nlook_at(rim, (0,0,0.55))\\n\\n# Broad top fill\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\nfill = bpy.context.object\\nfill.name = 'Top Fill'\\nfill.data.energy = 180\\nfill.data.size = 5.0\\nlook_at(fill, (0,0,0))\\n\\n# World\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\nbpy.context.scene.world = world\\nworld.use_nodes = True\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\n\\n# Render settings\\nscene = bpy.context.scene\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\nscene.render.image_settings.color_mode = 'RGB'\\n# AO/contact depth\\nscene.world.color = (0.8,0.8,0.8)\\n# color management\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\nscene.view_settings.exposure = 0.15\\n\\n# Camera clipping\\ncam.data.lens = 72\\ncam.data.dof.use_dof = False\\n\\n# Save and render\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\nprint('Render:', scene.render.filepath)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]},{"role":"tool","tool_call_id":"call_3PioMtYAkDBd7YQa07Zmxvtl","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_9aJ5afTvWc2gp8ThaSzWwS76","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800\\nscene.render.resolution_y=800\\nscene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'\\nscene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False\\nscene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Eevee quality and soft shadows\\nif hasattr(scene,'eevee'):\\n    scene.eevee.use_gtao=True\\n    scene.eevee.gtao_distance=3\\n    scene.eevee.gtao_factor=1.15\\n    scene.eevee.taa_render_samples=128\\n    scene.eevee.use_soft_shadows=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\n# contact shadows on area lights if supported\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT' and hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n    if o.type=='LIGHT' and hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact:',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]},{"role":"tool","tool_call_id":"call_9aJ5afTvWc2gp8ThaSzWwS76","content":"Error executing code: Communication error with Blender: Code execution error: 'SceneEEVEE' object has no attribute 'use_gtao'"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_mAEZtzzTGgkIdJouyXwaMD2r","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800; scene.render.resolution_y=800; scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'; scene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False; scene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Version-safe Eevee configuration\\nfor attr,val in [('taa_render_samples',128),('use_soft_shadows',True),('gtao_distance',3),('gtao_factor',1.15),('use_gtao',True)]:\\n    if hasattr(scene.eevee,attr): setattr(scene.eevee,attr,val)\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT':\\n        if hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n        if hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]},{"role":"tool","tool_call_id":"call_mAEZtzzTGgkIdJouyXwaMD2r","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\\red_sphere_ground.blend@ for writing: No such file or directory\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_WCRMKni9yzRLSFMzJeYe50HT","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, tempfile, os\\nscene=bpy.context.scene\\noutdir=tempfile.gettempdir()\\nscene.render.filepath=os.path.join(outdir,'red_sphere_presentation.png')\\nblendpath=os.path.join(outdir,'red_sphere_ground.blend')\\nbpy.ops.wm.save_as_mainfile(filepath=blendpath)\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('saved',blendpath,'render',scene.render.filepath,'contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]},{"role":"tool","tool_call_id":"call_WCRMKni9yzRLSFMzJeYe50HT","content":"Code executed successfully: Info: Saved as \"red_sphere_ground.blend\"\nsaved C:\\Users\\gruku\\AppData\\Local\\Temp\\red_sphere_ground.blend render C:\\Users\\gruku\\AppData\\Local\\Temp\\red_sphere_presentation.png contact 0.0 0.0\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_9mBemTtQAyZtOWpHf9taBJ3E","type":"function","function":{"name":"get_viewport_screenshot","arguments":"{\"max_size\":800,\"user_prompt\":\"Verify the finished exact-contact red sphere studio scene and presentation.\"}"}}]},{"role":"tool","tool_call_id":"call_9mBemTtQAyZtOWpHf9taBJ3E","content":""},{"role":"user","content":[{"type":"image_url","image_url":{"url":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAHRCAIAAAAdQ0qqAAAAAXNSR0IDN8dNUwAAAARnQU1BAACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAAADZlWElmTU0AKgAAABgAAABIAAAAAQAAAEgAAAABAAIBGgAFAAAAAQAAAAgBGwAFAAAAAQAAABAAAAAAkHjvvAAAAAlvRkZzAAAAAAAAAAAA2iq2zgAAAAlwSFlzAAALEgAACxIB0t1+/AAAIABJREFUeAHsvWmQZcdVP1jv1V7V1VW9VHX1qm5J1motNpZlZPy35QUMf4NtPA4IQ8REeL4QE8QQ4eADX0wE84kJYgL4AAGEI2bAARgIz5g/GMsjFkneLVu7rF2tpZfqvbr2veZ3zsk8eTLv8u579WppWber7zt58ux5Mm/eLW/t6NGjo6Oj3d3dtVqtI7MJcn19PVNTiGiKuFBKtQqYt5XqqhkVqHJDGqo3Bm3ccbR3V0fH8sbM2DzuZnOvPNoI1+rqalcXPG5iKwmyqiuiWVtbq9frTShrK6maB6lFFraskIUHDQ6q1eqAeBgx+1pHrUPwjHTFDmDxX3aoBug2Qrds2MYZ++pLC2s9a2urNd923hr/u3EdTUvIGX4TlDcOv9FgzXhCsk5P1bQBTTGQLvxHm66zXmpyQVQT09WxyuN6baWjsxpH01QwTCLDQBKf3NCGqLI75GKGrjk3C4x2YhObPDFb7Qtb+YsxBAMaNv5dX+MSdsCvrtIeAUFtCybxsNA0X3ZMqyIny9W04soMi4uLFy9erL373e/u7KQ8hn0LCwvCLnaIxQr39PQIBgeq5eVlwGquhSsb0DQh7MREUNlaUCr2q4QtADREW6CrBRU4/qPtN3WOtcGYK3uVSBbRIGMRHMnzFqJUzqIWgswaAKWbpLGCPdYodG03heFeztyo9yQE1Ot02OB/MukhmNhoagSG2dnZ6ekp9U6Q5WY0rB0ZGRka2g2yS5cuzs3NFdGjy4+NHcBUFcN3d3c6P758+fLU1FQRL/B9/f2j+/fD8Vz2q1NTkhsqobu2urzeCU/Fx96enr6+fl/L0wZf2NivHJ2T42Ub5W/Muk3k3i4fc/VWR25iRK510YuLCxcuXNDBQQHxC/2or68Pk4fVtbXeg+/t2nOD95eSf31p6uKT/5CwoLPLgb6rf8/ADR+vdYaDPlhmX3tk5tzzXgj9QoVOTjCq9Pdrh6XamZmZ6elpAENDQ7t27SKU2WZ23VUfGDMIArsn/rO7TocMu2HOY6cfUoXx5+rVq5bMGgOWrt7e3pWVFVCgsLS0JKTw8Od//ufvuOOOr3zlK2+++abygxhVMPe6667bu3fv888/Pz8/Pz4+fsMNNzz66KPKrvTtBWAh4giZMvbpIFhRC+ixVSRuC5nY2RZR7RWihiEcOOlA/lIGbM62wZgruzZ6U2aCXSY66nJT7FWI1UIQqxaLTIQojQLChp4VBFCd/OsgvCNlrFzuASnPiqQmkBOTGuKO3447saOZIro8et/nPve5119//dvf/nYzrIW0k5OTmGCtrq4AECIMxB/96EfRXmfPnn3iiScEiVFlYWF+YGCws7OO7o9hZ8+ePQgvzgbPnDkDGjvsfOELX0DtF7/4RdWK2j0je3DlEpMzjLy7d9OUDgHBsIsqSQ8hHhkemV+YX11aXMVlDT/BWlhc7O3t8wHU+ZA9MAssA4sSqP4iIJcyF1kk4RrF5/voLynBKRBIMAVul5u5eqsj22XGW1AOBgdcrUHn+sxnPiNnSl/72tfs1Sx0n9HRsZXVte7rP9rV1Tm/SEebj91z9AN3Hfzf//L/w8BiiSVAmMqAq/fAXV173gHMZ++/AcSPv3Txbx54cebNR8GSjaNMToaHh1H1rne9S2gwo/r+97+Pzg4kqrDdeOONg4ODsPnFF1/EGFIfGB8Zv/HXPnLDiYO7z16a+8f/fPn8lfmuy32DvR3vfe97MVycPn361KlTmEhBAgaom2++GZ5iynSONyCLjEEVTKIzQj98AKRtYGAAc70PfOAD99xzD4awv/3bvxU89qAUYgT0/PnzMpBh9vp3f/d3ckTBKfunPvUpjFxvvPEGbj4+9dRTUC9cV65cAc3+/fvHxsYu8fbbv/3bf/iHf/i7v/u7X/rSlxAIXE8D+2233YYpISIC+ux5rQx82h4f+chH/uM//uP++++HMYgCDkXwXDRiSEUQ1XIAd911F/yC5BdeeEHGWexFF7hgGGph+cmTJy0X4J/7uZ9DSzz++OOwHM0Dp975znc+88wzydQV7YEDAFyAEMxKJyYmbrnlFsQBluAQgmko8O94xzu+973vJfK1KLHV4qYC0l5QgYk6xjPkQU7ObqoFTQoXgyVEany5DByqQY/4l5PZWm0CBag2c/OL+wxPgNxlHpZBPMxXqyEJ0btc0fUbHs2ZiUXSjtjMIE+VO3VD58Iog6xGr7n33nu/853vaPdEN0TmoxOBBtMvTHEA4BwMPQVInFMePnz4pZdeQo8udw4jxkMPPYQeirM7jLDZkQudFGMcuj+ijByAIthjZWIQSHqlrcXwip4o7ODViR1oMOgtLC5gP7NUeC3NiLLNJLDFgBBdKsEY7rfBTATizH87dJkA7XjEZz/7WTxrhJ6Owxx65Xe/+92syYP9PXfeuG+ov/vZ1y4vLa9+/9lzdGk9b8MJVf9A/2oPhtCOA/sGPnHf8QN7+286OvLSm5NffyqPweNwgEbXRgkHYowVsARjkVQCg2M0pjQYlHBJ/n3vex9GG1T9r5++/cjYLlx72T3Q87/9T3f+wf/1KJCY/9x+++0vv/zy008/jcM96OEXDujHjh3DvAKjH2ZaGACT8UcUYS9Kse/CfxyH9IiFIQyj26uvvvrKK6/AoP/6r//6mZ/5GRRxjQrDJciEEnLhCUyELEzx/viP/1hEY26I+dYjjzzyiU98AueaCDcEwh/AUATLIBZTDcylQI9Zy3ve8x4Ad955J66EYdaJYRqjMOYxGApB/+Uvfxm1iNehQ4cQrJ/85CcysIou7OE2fMZsBkMzhMA2mAobMDpj9PzhD3+olAAw44RY3FCAg5CDc3HMqBBEwCDGTGjfvn04dbYsgFEL7RiUcZyGa5gI/uzP/qzgUWWJMTo//PDDH/zgB2EqDq6YloEAbQOa1157DSpQRFXCZSUAlvAmyM0uyp1zXMfa4XMsjQNyA2HUWAHmKRDXA8SsEU8DrK/TOU1np0xpqKmYTn755pdDyQ8OiDLKswDgZK4UDpTc2FGLE1HBBvm9Pb2+8q1wuMUogb6JnosejfMZNIH3rgOndI899titt96Kfvfxj38ctegs6IYf+9jHMOPBoIaTRY2qHU9UAhh/6Zd+CZOwP/iDP/j93/99NBw6Gjo1hiDwerIaVKPRcQoE+RgW0H9RhSEPnRcjDM76vvrVrx44cECQstfrbTAYLqCT/s7v/A5OCNHT0Rm9ZDrXhHd9vT24MIjZEe4M4smS7p5ujKpK0wyQmydvhTRoJghv02YjgBzAZtPjrZAV6PW4hYUjOI6q6Ia4aAQncXDH4fj48ePPPvsse90xObP4yBNnurvq97/r0Ktnpk+enVpecnficPkDYwWmGXLUxnDRWe9E3f3vPjw9t9zdVXvshQvvvnm0txuPtNCGzotjq0xx5PISTuTkdA5j0ZEjR2AJzgOFWAYfHP0xwuBQjnkI5hsYczBwrQ1033hkeH6RzEBLjI70Hx4dPP9aFwYf4ZUBB5MWnPhBKTRidoUqjAzQAoGAIQcXhuA45kJyGgktwt4FSA9UQIEfE5HnnnsO4xpCg/EU1mO29G//9m/C4NjiqwIY72SWBvaDBw/ijBZzEcxnMephFgW3MXOCw7ADQyROMXESDLFPPvkkKH/0ox/BW1DihBVyZA4EXtCLLliM2SLmUiADgTUDEj7/+c//2Z/9GVyFI6DE1SlYC6U//vGPdUwXFszbIAROITSoghnAYATHZBFFGIZaGJZwgR7TWAz3GJoxA0OsMFIj0ACwWWMgFikFCwHIcC+n9ZjSoUVxPIDLwCRcVsI2wm2ZYyWh0yIdjLVAgCukF4a4CoMPzZ74sSEaiZiaf2RYojoJlAKugrA061pcWkTnRP/ZrniiL9Q7w/wjHk+3y6jW9EajP/ovzi7Q6WTcxIgjQuEvLs1iuiPjALowUh1DEjo+TsPQrdAokv+gx2ibHU/wNMIPfvAD9MS//Mu/xKUvXC1GXwYvJEivZEXrGJTQYaEONMDLxSqc/5w4cQLNjX6HWpzJ4CQVJ12Y3mE0ULdhAxIGgyCOBDAPlBAutZRP3JcX5mb6B4eWp2eWlpd3DQ5iwFH2dgD2sNoOeW/LuPYikM2BLOba8wpd/k//9E8x88ClFn0mEhdEfvEXfzGZOQz2d330PUf/88encMvv1bPh6Uk8boRTrH//939PnO/qqv/4hQuPPHF2eFfPg4+++e2n3RVrHOKxQS+0CEtPD55fctMvnN1hHoLjDo7aPPjsxR4TDMwrMALg8I09jtEYxxZX1lbwTIDfAOEOJuYSGOVAI6d5mF3gpE4kfOtb3wIt5GO4w2Fd+DBQQDiQGLW8JPdbw4gpAw32oLv++usxS4C3qMfFIVxDw/mo0GJyQJcE6nWMaxj7MPe6++67MWZhpMMdP0w/YRAoMXKBDDMtDHkYcHFhCW5gLMbwBxNRhbhAFIhRC3YgMWKKzyhKFchAD7wz0/9gAuRB+gUvhMByKEUR7ApneUEgYgHANhiAPVhAiYCqYcmNCUgGAciES8QiCAkZamGMeIFaWIVw4zCAC4wowhdRDY1ZRvBuzSZeqC4pYs8A7eQhoDU/raHrt1zHoZVJDiHSZ6KFhveygwrBGV2E0+ImASuruEO8glAn2jdJXZFYPPWJB3eKajcTH82H2qgI85WlpcVPfvKTGGtwuQiScV0KJzZ6hRzZLl0eHQRJjoRHR0ZnREOgL6CY7TIgOHr0GJ7BwvVdiEVnwdQHp8IPPPAA6K3xGCtxywDJiP4F/PHjx+W0UG7E4woWhj+cIMEAMGJih05n2a+77jhswCNcoJFRDqphMKZZ5y9cQH8cGR6em58HL55w3zWyXwYrSSGYPbx7eHvTyfryNrwJEZBes1l9ZxMM3lkiL168gP6FC8+/93u/l3tOggH5yJGjeAbr7k9+8b53jn/tWyfPXJz9mZtHX5uYvnDuzOmH/g9058Sl8fGD6KFLI3f/0ic/+4OfnMM9tuPjQ0+9cglkV5/9p8nXo3tTQMpggt59//0fwumZSMNMBpdv0K8XFmhmghtLuMaG+R+O1KDEXAIXkiZH7v/V//7ffvHe65ZX17o66z/8ybn/+xvPd5/8u1tuOIKhDFMovAWIIQLzKkwYTpw4gSEIeMyuMD/DhBLTHrkdJxplD2PgMmCaCWDskOEDMwkAGD0hFNefUI2plc6uUBQCGIcBFEIx6uFxImjFrFBGLpEO9RjpAMMsbLhaKPKlVhoAXCjCSUFirw0jgBaVAADMxR4GWKQIgVJFWliRAohewAg6rLIGoAoYGJywiDRRCi6pzVUBdpGPdAElNozgQIIYexTBm5Wv6kCjsAMYxbMZQgiBI9OLP6ZMNPzos/CxPH/ph2dKvGMqITUzHkcMPDZEOGuMVO3gPYKP60ZyDN5GM9HckqjFNmzeUJ5JoWIjmqrp7e3BBOsb3/gGXMMJEnhxcUhnVyjiLAt7SXLpHUIGpOR8tstgGEItEhkAxilcHsNzD7iOJUJQJRsNUl10MVLeBkduY16FMUe1YzoFFTJuop/iCpZnpV8MVvQyALGvggZacNYLenuuiXcJdVSZxDmoT36w4VKo62FW6NvwWyoC0ms2q++8pUKV5wz6L+YDf/Inf5J71AYH5hvYoxe+9OLzI7t6Ji7T9ODl01dx8yxPHh3ocXGGqhYu/Mejr99z60H0wR+/4C705LLohAZXczCLEhocEdDrcZSXLgwAYwUeW8LNRFwSkqtIoPwf337t5VNTNxwePnV+5omXL8r8Qs7ZcHUcAjEpkvEBdwBxJR4SMMPB5MzOH6xVmG7CBbBAb7iCBQqgsFlShYnUjztAZqecStkuQDRaRYJpl/xm5Vj3PS9NfgKeISlijxAzmWJ5rqMTI6rjgsxy/ASIpkj6z6th0i3u/5s3CTBetQlE0qIvoZ/7mLdFbosRwMRi2yd5bfHfCkE3hF9Fg4OlrAhjLMHyB9JeyyvLS4vRJSsrBEOtDNDQziNaNECt4Lw4c/pr2ZEVmGMBg5V7VldwGhaxM2/oWX31lYU1GtmhC/0WRmJu19aksqa9Db8dgbdCBNBZMDgUdUPb01fW8E4VnVaFbX11ZSHcKBQ8JigyYYLk5fXudbqzEra15dm1lWi4sCowo8IidoG6o4YLQ9KFYSGf5kUjwGqtt1bPPEyyMsMnZUaMHxMiFF0kSscfjBoY/7HHi7EYR6IJVsK8vUUysWC2l2cYjYbJBpRMYQTvKPiHIm7LUuBZEYmhKvOPiyzfIEFgNifMYHgoj2iiyh1foOhnY7rzzMYpyjJuC/bRK3vbbp2c02CA2HZL3jaghQgM1Bfn1uhsG2NxO+dVW5yY0RGELmunW0KQVheUs3IKCDeKtuZtmdKNGm34rf2CbosXWbFG59vgjozAenQkyJslbNTs7CRJtWA+MzDQz9M9jGa45ENX4/FwM844u7t7aPbHMx66NclXioDtxG1S3AfyeB4EpRKge2SIRLiEph9VR7D7v1GnqvBfm/fZIs9wlRMvxEcoU0j6u9BlkI6dpvNmk8kQUIXSDXERCHasUYmX9eRtsiKyiviNWCIqYM+5cxPjB8YraqxCZqPWmoVWQhWNDWi45URmRXuI2DBU5GpgxuZUH+2efHN5BLKXV1bwAKkocfbDbkDeev+7OXbEUiV4ihNDtAigDJMwC5u3nn99wUrcYbB3QhrAldjr4uFpx7jgjadrIGRUjX7JbvEGGAWk2vUWJiUMbdveSMGL2Fxr/bYbKbEq2gcXXEPUcGp+8uSrk5PhyfTsdCVIC/wBlwvRlENisU7rH7mtf/SWoRs+gqbHnVFcVIMmAPVTD/TUFjB3wSxHdOMiGx6SwFwHUuRMnSnXcI+mBCnsOC8EF+5f0pyIr93d8957wQVrnEWUfHxxfvszyselvb9bn4OcFjq/kUhTkDnCkjOJUZpIuDKL61hraKuILiFvZ4Cqi8aV2XMTE6P7R/FUTTst2IAsPNaDZzM3yR6+4OyN41bUNhWsb1BtPUJTV3ecfCiqHl+vqs2/bB1bTqbtqK2zY72/e65/Ga8ddXSvLGNl0ox5YnHUFKDxjiT+RA3Bh8iIUbhkqBdFhOHQuKKKdscDKktVO/aRMU6096Qd8rdEBiKjcQSgxU1VLgdCVsEtFpRJ82jDuxR3zVfSduAIt2uIzrlSwhKU7hBIDtwwRg4uSC92RG6E7DxHpBH7+2+59bYffO+7VKp1TF29ijFcalqOKhp9ZGTP8MiwSKDlZHDXEoWB6++95547Tl2YxWIVh/YPYh0wPLr/+gRWoFjBGg/vf//7MT3ChnVl8KI1plZ46wcLSoERdFh5AstXAImFDH71V38VSFDiITIsowUkDjl4SwjvHuJJWLzygzWa5ek2VMmtVjEFe/iGK1la3HFA5TyBI00fQMyIJ7wkxE2DqM8SknoiDyN84iDxCaOi9OxgJEO4F0yDUMA6UcwcYUUcaXCbyKuvd+Rex1IyT751v1jamxcCoBdxq2vlPr9ZVuMRH5xjoDeJPdSYfrON6HEIMlliyVD07R6aQCGit7bTkcWWneCYiJEpp6Pcnh8yWbPRZbxzg6u2xyrWOlRfmF0b5PRHcOnkwhkTRlx3zzw0rVC4VgRaanzLoGR8o0KmedI2zBCQhpTI2bWxnxxjxH4+1njZ290o3o6CX42MAFpUcply2T2qfIO6dtIiquCv6ZNKEDWBb15R4rNEVfo2V0TWKq1yAEc5JotKsB+bf2ZGqFMZ213WqAigiax4Pm65eSSQdHSLnGzJATeEIDZ0cNSms8WgJfRHCqY0HM1AfBPi9T59bh2TFlxI4me2nGG4ElTyjpq1fnp6KkywcDMOr9OhGqtBvPDGpDzhf+nqQn9v19AAXaa6+eabMSvS53bpglNHB2ZXclkLe1ThSVIgscQD3tDBqlFAYl0cmTzhOXy814NXLrGkBB68t68lWpsk3N5rW9M+2MexdYmc56EVtWWiXunajjzynzuFxuAaCzGs3pww4jlDlUWTVbgkNXK8yUGRZq/AQIpqCFDirndivtzMVKah1I0Q4CRjdW310KHDzQmR8ErwlVNiY3om11CAtZWF1jalYiigTIffC+cv7N23V0McmszrymJQk48Uqzxj/q+ncYdDX8wndthKRKUS2ltJ3hub0GPkrBdaDLplnRDned1oaho1i9ndOX16eRQtiou2zAduNkP7YSLNF/HrzfW/mj5Fnd3w7iSQ7HeRScwKseSKfKKEZ3OKvlnZBBqdTCvz2Sd1Stqo3YjIX+VyNsupiTQu75M0jHLSCeKf7ds5y81BxNiCALhmo7GAI+DpDdUOANkq7UwKiGXSjNxawVRbTOgdkW07C6M6KTImiC6FsII6ZixYG+HBBx/Esi9YGRTXkrA0MZZNwNpVmMacOHEC0y+8yIz1qkpeJ4SScIsQn8ReXA6P3+Mi09LyGm7tYUVyrNaV2IM5E65I/cVf/AVWCPzQhz4ktYAxqfrHf/xHcGFOJkhctcJ8CxfAsNe1shJpGPfyw5fQoUipVLBJl0Eldy8dS7W/mJ7og09E8TSIa0gBC0nVsXYVaO2IkS6VQBDjmaPEBSvRwM1zGOYNg3TajufaSp/H2rASLyBx1bYCmmp9bWLiHNYvGRgcSNpXiyIIFicYHmZJuqSJ7J1WaqREcSUMsTPn3OxsDxb/5tMMJ7PST6q0ElNMFI2lMsLGBNdOyY8BdMTEf+mYZD7C5NqLAsYllP0mbNS7KRbE5Wq8PE+Y1xsDNb7I2YkV4MAMHD3BoHICf3Uo5SZ7yS+/ZW3zNTv0N8ozNzpGHiFuMU2uI1EcQB/FhJvZsEGgCZlvj0RNpggBPgNEVlxylYIMeyhCQbNIZSTMxjofBIvaDjgEQOJvW0HCK3HW/aYayUdZZ5I/4tpisDY2Q/FJwJMiMUlPV0VSjKVtsISp1b/+67/ed999+OwEZlFYPgYrUOAKEb6UigXMMeHBIljA4KMRWPAdazfgdgo0gh4LOmARB/2OKpDhDgsWoR/bEx5n6evpHB2JFkvEVQwswYf7IGDDShLiA4pA6po3uOsH3agFUlbFAAxGWIANMcG9QmGUPTByINTDoRYBWKQUiR5o3QDqnzYFAIxvfqN+E2OoLYWYyVJiEU40nlNFVAXUPgJalqKMkbjtKEiM6+7MPrZArQQgmwUwhFITUVP6PyLysEMGjDSwbWKuAwNW78Q5xNiBscFdWHMybBLfUGYIyASDIin2reraVoRTRe5mfSuEYTJON/bs2dt8U+cq3QCSnWQ/EfU2JF6hzxnhaZNCvTY4tSbZYzEi2SGpls7C3R+3HH/LiF5XwR9tIMV/IqQplN1ICCqZBlVSbGFPr5DzhgZlYS3IKGQh1+zmXPHpniR8oZhtruDwk83UlNjQLBpvngwFfxQST73hURzSmNgAEUwazJ+XsSm/4odo9YNEcA4q2WG3FwusbTsUlohKnHXP1pO/0o7UlOyctKn4BowWAxnXSdGRZX5Yo8OKdm5HwtiqDF8TCBGo0lR+IkLtT/AVipgzffrTn8ZUCXdL8HyUrMyHa1pYPQvrjmImgxX1cOUI15hwQw+zMRGJdZJxjQkzMKshXMFaXlm7PEWTJ9kWl9euTIcikBAqHwcErKv54Zj313/915hCCReewfqN3/gN3LkEUtYeBCWeav/7v/97uWOYLHtKp4rxJl3WdFyqToqBI+UONQw1qE6oi4rNSkG2ovWLpO0UvDVQBg9g0K3IPikThMgzrsZXBtydc6bwNP43uCwYL58j4QskkrZsg2YxQsfkHfNzc1enrh46XHJbMFUhjI33wofe2GqT4QLyGH//TnW1aooK2CigwZT21GJWLh0sdaMIuAxwOImJoZFWtkQinPaJ29l4ZjDEkUGqORZw2cUqyGLfXolOy9IsXO9w39lATOQSVrMSmqLP+h61xeaMIUaFRM60PrVfVETLMH2wNEDB1bjds63pcsXk0Oa4FizaHEjiJXvSIKGSO3JcQhVwHKJGFtgwN6LdSD3FXu6IOntt0Rnhe7RrFZchaEdxVToa753v2SbeiImbx5uxU1qnSuyxFjxmS7jndtNNN+HDEphmwUxEBhjMbfSFP4QOK5eiKDHEE1pYihmUwKhbYYK1Nv362Mjduwe7J2eWDu0bnJ5bmpqjh7zwVLvc+7DrtMrDvJi+YVonEylIxLL0+PYhpGO+JRe6gMSFNTw4hsta2GOyBSshE+elrsXVkCYA19BNcGRI2yAiI9MgpCkNYktA1erGNK8UfSWL4a4XJZubQxFXFB7f1RwS38Kld0FjGqcq4vPqm/vNEYHFtfHQ1fj4oeYkNUXNXUTCkWNBsSicdQwODOor/cWE7a/xbUoDCVkuhzApAKdHNHeYTA2QQUH2pi6vYTNDVR6RkVEENhXZIiHuGOZkueMBE5NVG1CxiitYwr5BQcWWl9ckbWFdCwduWGh6rc0BCDc15EpUZNcSFUlPzxTbcaLo2kQi6wKgucllmMkZFpEkoSqrS0i3qOgtks4hJdlLwwGW+Pve4xlgnwGrWavtTEKdWC9fJKg6V4RWuhCL5R6dBv61jRF1Fk+VaXHnHtXHCWnFugZ0qKZ+bI42xdg8sfionhoBgsOX7vrtvTgQ4IFy7DGvUmLcowOs/UiKWisAv0ju9NQ++clPyZPzCB9Wf4k6JcWUD6axAFCqAq2pjsS0TNj3j47edvs7VUKzQF6kmpWxKfS5ochqonGFsb7LUEGy3mKEEfgEmW0CodzsPexA3828V7hZrXHlymXk9/CwuyW9WWpM1LRdDC4fxKkCXtrAN6PyqwuwOj6intpUhxgZy+zBh7zFf6UgidG4SIi8rSRMVn0e6zWN00kmeVEShIyTOG042jX5+gq9BIrPWWK9veL+1YzcSJFpazIvvJlPpbiZs8UsPTvYsjGRZTuhgGHTmuEc89MTW3W6tQQXAAAgAElEQVSNwuKg+GVdtW1N7po0KU7CHReDpPlgHxmPNt3xLfjE44/JHTm4sIwvJsfjbU6g0XjSZtKWMQXG5+4evDjIdfhW8u3vfCeWFIppNq3kB3cox+QarxyKpjw7N82GVgVLVMFNDaAFCnU69RENSTtlu4p6nT1kZjGQmYts1RvLp4ZYZCFMD8vg4wU09Q7z+iLq5kRnpJw9e2b37mFcJc3UbCJCbEbz2YBz5lKray2CMDFxdvzgQa6CPf6XTPNUxkwebtJWJBVJjHLGo4TCCG0BTISRTy1IaRdLm3VHweMDtrQK48t09dRWFikQRMMsDk79JJlSH0+PQG46PElJEkIsi+zjI5BRIFyKSIrAZ8eQ5KiWJVBpOx/INT7jIIc1DuN2uCaHAGoisZAgnk6IMexLsF1csw6mjSvXLCi7coaE7XCwaZ3Wu8DMLeVCZM4oOFxpDALX1kJ33HkXnqaiuWAzW0zNJW49Gh7Es3X6DGvXnr179QkqL791z8s5Eej8ZvCK2/irzobAcer6SFhVsJrRBpe1U13L9oDkIEmdL0tkhLcbVNPaJriBRHSb9Q6sPJu5jtU2A5AqmL7s3btPHt1rWa4c9bSB3JhH7lHXN8dE0gAyiwEsGOx5oAhRAWby6uTwyIi53R5qvbUZTAbhKbfrF36wahlcCN5xJrYemqTNXNtDnjxPaAaGWsdIfXZqddCRcDQCueSKRIZliknpEOFjqQZnQplBKGmrQGqDP947C/FjDG5VyXbyZR2kdrBtIylLoW0tvO54qCKhMcAcwFAMwQyNbS0M9RQzW0Plks2Rxvygh2qqQkLqvkTKTq3SQChgLdXwAklt21TgrKBWYYzheIQp4vY2oZn9EYSs06NDriORBC7gQSncUIRTOamZg8oKqIyRRCkxSw9mFGDd1IgIKQmnRASEfBe0L5OAOGtZpMoVahag4AYB6gtZ+Q2FtsCSL7NtgvLFOyz6PVpqk9ZuwOcF8R4HVrqSO9yU1pIA1Kzkny+TMVkMIdk8rovikTSNTxOSI1shhvq9J8JX3ufnl5eX9F3aUNEeyGhqj8BGUkLGxn424tvaet/sFB4aBHxScNNIQQyi1rdlygdkrFxxlZsWNCIF62v99eVzqz3yyg2IUZWkSqDd2VBiNkXBhoLy2/i9s30R66KGFFTiJCFB5RNCaHxScLKwyxqHkO0gddGwIi1MFBG9l74lv061GGDMkOPplpiw6UqS8EbZyU0KAumtaOOEuKJxkhnCm4UhJBVryra/WLii6i74Iy5dmpw9NYVFRCMHc6UMdS+cOLgLysKRj+lgFVkPAbZPIC0YKY4RIZmZahFMTo0QJuQm1XIt3D6kOJ+Y25w5G2JuTtWGqOkAVTrHcunB/qBl/eHRKZUWt0jJajxmiLc2sL4IvqckpNmsEF5rfRaTSTFL3jxsWgVfUMebuocORwuONC9xZ3F4//yvHq+y0d+Y4WhxiAyjAaSJzmjQiMYQGliyw4YZBMmiYDjblxkitF6AhLveseZMEkalZmHX7o78iENBYdapBtfuQF/d0EG2s3ViMDujxsctmHVUGo0HGPW3iEpod9jedojEtNj3pFKK3GNya64hpPdTfjkVyPpo9Mi445lChcUUwYG6rVAXElDMffbCruVd76gi/MLqwp4rT+3ZM2LHXtxuxKtenfVOCOzBp5p5g2RN6cUlfKywCw/U92Bx+gqbLFTf1dmJR8YqkLedRFuzRckb5W9Rbets0iN1aJMjFh0L0/kyyq7v06ESL1nIvUJAcae26QGzmDY1L0FiRQ98EKrZx8ZTofnlNjXI+vq5ibOlC0bkq2+IbZN9DfVUJdCRyDW3tDkd8LIzpPiKEWj0kMbaRJRkh7S4Cg/WJP7HxbgUmNoF4UxBTZIuQPskg9ulbFvlUCTTKZfrztKtNQ4bN1MiyQppiuyygqOaFKmShgi32cCnBsfGe478XytHKYJqRbXRZ5W5YUCj0ZKklJuO8iZ0aXVLOhImCmxLm8xAXCO4yTQZ6PCZQ0fj5uLMA5lIgKjGLC1Z3pAJV7CgmpxZwVLGvL17z0tH+i/+8PLN9+59Hvv37n3hx1duAvKxyRtPzeFTEvhKcx8+VBh6A3PhvZujB4+88eabRw4fxmESn/WB2N27h/g1q/GJc+dvv+1WLMM9ODCA5R5mZmdx4xN3KHGTBQ/w7xocxKuFb54+fd2xY5cvX4E5wPf19p6dONvb0zs7N4dpFj43PTDQPzU9k/tipFhesN9QLjXLbIeJAns2Ba1jmR4VCGM2NLTFhKFHqKhMW8B7Xl/jy0ITSqQmzLEMvlkQF67W19bx2HjM2GwLxNxtKqkRE1j1auwAlsH0YWuTgq0SgxxAg+q4A7Xop7ZIhsBbkzsyPqxL+vhhWpDBajN2swQNmCEJ4NZCObYEA3p7Vt//vpN7B2aXnuw9fXY3KuBaWJ8v9CtiSb0OYq5hKHRwCZS4jATIiRs1sw4jlEjkt+sKWkd8zEuSvRBG+oLUxzkT6jY5lokl6oH6Jfqd6U2ZZXrNJjvRtPii1E1MbsrdxAjhJYE6SRIAGLS1h9USUAqLYkigyYoIT3WVN595IiHxkS2BZkbz6FekCJOiF1duvLC2r6+2eHPnyyN1WhCrqc2vg2XiemJw4l/P3ru42vPPZ+6DLNmfmt//0QOPyQSrSAGGaTwvj2dTME96/oXn73jnO3EVCjjEDPMnTJX27d2Dx/WPHTuKF+8vXb7y7DPPggbLaI0fHD9z5uy77r4LEkb37wPXqydfO3zoEF6DxzPOWLwUALhwkezxJ57yjVJkRT7e+JdPsC3YkIuiXoYoYwryJKfbU67KxaMQDJ9RgdkNEAFhRjuD1BHQ4pqCYQrsyHseq4moY7ErHNb27HPLMTRlgCVuQqVlqwZfunwZ67rJsnCqCA2UDXU1eU1TyZBEKWHHDDN4kcS0SCiMJmKk25tRjDnUGxJAWw6CWQXvLSBUhlIEXCv7Y0cnx0ZnsHbf7bdelAlWZHnioXecI3St+e6Np8OJg6nxKBd8FZWo6N3mxvVHRgoMZ2BwnOt5R5WUNqYgqGth79xIbSfHbUcLcSlwKhVQQLaT0Dkms8viN2r17AuZEQXDeEEJxQ8HUQKAiHKINwVQsrBUCs3m7701XpOzxKF1duW8I/up3dc66g8v33d2lS4qYTu5cuTnex/ZV78kxSp7iOkiWU6RY3nsyjuWVulq1siu7qszyxrTN+bGSoSuLC/39/XectNNL7744kB///59+/ERH6y4hUtZAwODuF41gTsrE+egamxsDJepoLTe1Xn16uTePXuGd9N6DWC85eZbzk5MYFKFj0lfvnRp99ButC6+PffMs89CFAYBPP7c2UXPjW3vFoYj2CGtZQYhqpUmMlZK4qHdwhAkUJp2qXOB3kpLuUxdm8HUnlzx8ApO46pOa+8VYnZVr9d0satcFduOpIuyvHBuYkluAyU0SVHHLKQJ/nHCUAApazKbJ6Aml3piSpbISPIhKZLMPNEZXVURbHYgljGirRqC8E2Gpqd7O2s4CVyfmSl/FIHdixy3zSgB3pIQBLXUqDo+U5u7TKKQyWEDtJwLGeMjR8h4+ue3JH2SIlEZG1AKKryEt8ZvxnEKUew6OUrYDClV7MhN7YfZIXksDF/4cCYppPMPeINr3fCUkyraU5WmjwI70v0So5zh8lPrOLc6jtnV8tTE3Kkn1lYW99z5yadXbv1gz7eDBAoGqAsGbqKr+StYganj9uHXMJdaXa996M79swur//7YeWmGw30XX5wufLAXT1a98NLLuNSE5VBfeuUkbuRBM1YuxbWr6ZlZFE+fmejr64NBTz3zk8463WEZGtr98isncTUeb7xPT8+i9ulnnsVzWjALF6vAiEtZuFqAS12AX37lVVwe4zVSja3NgOSFmQa58UR8YzmwLUuDcUdGrWgAAnPeEU4yzxvl2ssXRWGK1NrNBDZRaRDN3bKFtRtwZ3Dnz66QkLNzswcOjKOZKB8kbch5/OcCdhwLTRhpUC26/BGaMBoRla0SrmTvCBLszimyUzCHhl/8+GIFA5sgrSCtFZKJ80OPfudYT9/qi6dxqqr2KFAi0x565LhLmUCc/n8JM6rkUCe0OjLJkB0XiZJThq2K1AaLSVcmUWLacnOaqc3IFV9URLBWUW8VIOM6OZa4D0wuWbtjQIOOqkZy8EhESiJYpkRsE+84i4gqSp6ATYiY0u2kXTN7+O8nXgLKPhJpxVwT8Ow6rb/YPXQAcd19438DDEzUrM6/0ATi1wxmM3OzBK/jClZm+97F29bWafqAw96vffAw2gxzLBQvLLl1QZkDsqPwoZl5ySKKPR60EqlyM0VgXNZKABQHmHJ1dV0A2QOPGZXuuzDlWu8QUdACDzWlRGA+hupcvsmwQ+ZyZgiX24sT3pVcmsyoFQnYwoK3sq0q2yiUDgL4YFMz62Px7CosOdtWzwqFufzxje2nS0SPtk6KQK2trp07N3GYvlMu5yxJRnAITRzlo0OqPqFW/E4CjPUbMMt0L44iR3gD8raIdf5Cx6srYyt6zqSHqWr6JZ2cr8zL06MA0cFWQmPmTZDtkKzFhC6poWpLyeQ7bpexEFGJ4pgh2HEubMSgfO+SEFRrR2Xi0dQZFcN89UhqMLiY1LHdOIINzUbcLORl+WKJqHIKeeJFXOyVt8KaVihy2yuG61dh6MLl15cmzyxefm1gYM9I/WquVbYJQDA3Py9fx0Hj0OUi/guMHxh9+l/PvG9lnT5YePby4tHR/vG9fROXF3Z1zStRwoPo4SUcrRVAE4WKUml7HNHbYxlT0TWkQLSytIxn27E5dpGbl6aRh6wr7DzXTvqVcLTNojaL24BdTc2xWptdUV55h5HBNmG4COtDCqUEnKVRtlBuenHseFKEOtzdxmuDCVdZkCJ5ZYTV6tosrprSDVJpFH37ZMYHq2B7PcSnu2h2FU0IvNmwEpZrFSeBG9l8Qvhfdog9Ce6w1yQrSEjzzcbhLQRHUYFfLqCha+aN4xvw3wregJi2sppsoZSQSwM0fHGC+JQAlRgvIbOBs50mhkOKtdXidgtTo61XVglHAx2qqN7SbjE8Wr94Y9cbL+07Pnrf/wLVA7WFu7qfrWgDniceGxs9f+58WAdLOb914Q6ZXb12bu7BH5+fnl+RqqU195ohijRgcH4AwFCKDUW86oengPGU+uzsfE9PF4JGyHq9u6d7dnaOLkHVsHj8Eu70dXV107SJhxrQTE1PDe3atby8gmtgOjBDC24aDu4axANbWBICZJcuXe7ti5Z4wINf+Ow0HpPHe4vSQljTAW94qS9bAoRcZygUm9XeOmezmjaTvuEcS4Zafu6qvnt42I28bBJaPypy/0TTi72UG/inndazWG+yTUA8rW5Q/eabb2LZCPu9z1JhWV1u8Czl2qLKrHGbrziEn1uWTNhUMzRb+DBmsglpo4mkeQVTQLK+zGYFuzjPTGySlIuLhi4fTKQFC9s8x8jXvkOwLg9CjOUgElmXdO2orlHBCG5EurH60HxQqdM6A8vRUJQAxqYKCdaiByADR0qi8flJGF+rvG9NgN2MnSXvKRQ8qUAVAh4TbG4kuqZmu6emMXFZHN13b8+PjnSeeW75xqOdZ090vdFbW6io+8DYGGY1IMazUHAFLnADM/cHx57qqq0CfOylSZ1dodhXX+J62lGacGgwmxEAT18dOnQQ9wFvvPFGEFx37DpMepAyR48d7e3pwbzqwIHR3t4evAx47OhR3EQaHx+bnp7at28PpmUf/fD9uDmIJ64OHRoH8vChg1jfAQLdSFzrwFcLoQZPuB8cP4APDe8ZGcY0DitSDg0NYd4GRiz0ALH4w+xNjWwVQH9o6s/r4ZyQQlP8SuwF7ehflzCcNjA0t7iG22oIIl4gRU+RBJOhiF1FwkxemcQMG5+aQRJRJvnNJZYWORK+5IboTYiOtkAK4BRk/MB4N63rllYVYLLWCSOHKlNZUWi7yDL6txQhxxb4go1HnDDmZO2QQUnGJYVlnLJFJ4oqnDTNFg5aKFHRb6KOSoyr1+LH28XErE1twngr6Df4Eg/CbVK1o8XEXZ+jwe3odn6E2WwfvDoaofJgyitpJrEkNF9IqGgYA5nSVDHeZqYwumMqH5k5DKSf/goGHU71qiNUU8RV7G83DXc/nl0gGuQy750W383brdTJ6z1/aW1udmrv7pmhgd43TncuLx3pPH2gdu6W7herz65g9MWLF3HpB0J5HSw6rAWD/+3sez9y4LGTswevGzh3en7/aO/VqZWB3d1zdw2/8t1Lt3fjfh0RUyoGz2sdWGUU/3p7+6ampkXa0NAuTJuwDtbU9PT4+IGLFy9hwQV8qR61t99+29XJyePXHVtbWwfBqydPYsa3d8/I97//g7vuuhNzppHhYVyvEpvwgDymUItLSzfecMMLL7543XXH8Bw9PqVycHwcc6yjR4/Mzs7Qd6PdABsc8ZDxzaOa+q3ID/0VKZvS3l5idFMNFJoPjUjyg92AQhw9gUNSlsg/Y1OUOiTJyyKm3LUbOnBnELNqXLsyYloGRd06HkLHGloV17CtqOzChQtYjw0yvUsV+YrISAyiH0JURPgWwmu+US6R/y67JLVQi7ILr4+yxIf2FgPYF12WiSRQ2fFXQheEVgrlKhYBDMLBElRX4t8AkXUTajk8LkQwI+vZBlRdA6xZh90AFWzPkoQ6QCaAaFGOJCWDh4lWC+74FUm0ETdw1EyRwrigTRejWytFhnkRmYBsbppE3cLbsJW/aURNo+SaEU1LcimKkXQ4nF9YHKWJ0Xq9PnNg367zlxYO48Wmsqs20iJorAB0rOMZLExRkDY5D7kvrPZ8c+Ie6EjeGXz4/J1d9Y57T3Q8eaqjA1eX5MNd3lx6VKqzPjMzNdB/vTyPNTMzg6e9bjhxYt/evZgYYXqE+RCuMC2vLF84fwHzO1hw4sRx4JeXls/NnsNr8HffddeZM2fQSXDFK0wEOjqmpqawPClWIr3+xImrU1ePHjmyurKCRU1xS/HJJ5/CxcTVy1ewMCkkLy4sdu0KtzK9dYW/255AhZYVV/jI8EjBI4ocHtCcviqHWcaIZKTI68NRSDxBhMyRnofyazdE34Sm2VW9fHbVnC5kFD5cg6VoMS/HRVO+KpYjIQeVZ7Pizp0/h8uiuEmtmLYAFH8e+Ju1py3aNyJEUsvb7xKNhhUSykVyCf/dkCiZY/ON64PfnsAZpcOTKzf8CZIypCVVGdquDpzlRQ8eNMOdEbcxBB8+gn6JCYv0HXFj8q85bkowHuIYwPyJSogS4/hchUdBSTzQxAHkSLpwhqgiCLainTGJlLRTsMoSD7UogITIIm2/s3jfOyPcTi40G1Ebn5ArnBbipghM521cV19eXusK0xp61gW30bAh2zjtJM5QAUAUYWGimV2Pzfe8XFvv3jX/7v7FEyDHkp90IYm32v/5x38it9UefHJqvY/eQq+y3b33jbHR/Qnl8tISch8XnKB+aXGxlxdlAI1YE2zizgE8G8onFOwC3GEvWCoCgCdPl5dwsWpFnBQ0r2Xaxas8OE7GE6dsNsAOtUU/6mC5PndoYusJFsPz8gidxFd73/CbR1mucctrIxORjCjL+lhXrlzGkvzNXruKxMXO4NLmuXPnxsdxF697BUm9soqI9fe591Vj2iZKmLHRHcz2XGNrQm+LpDZAxenkhHPOudHB9xrONNS7TpQkHg3W2KwWJ2tzfhq60Fa1A7WlXfW586thhVuc7+Gx0bYqaVlYCDqGFyulreMcJAdFVstmwOIID/6abz7zaNQPYzm085GxzLYkLMxSRr8ZHu1AmdmwFAQzSqqd5cgmmEYiOTTUfeIOxfGp9Zx8c2ZsL9IOOVRfWh5YXF48sP/JhRvv6ns5NzhXhh66uPrDbiz0PruG23z7pz4tcyyxHbOgcAXr4jP/A1eJcqVkkXd94pezSP1oIMzr84sygIytxc7lvQJc5cRIpSdx/R3PwuNSW0xfw3uFxOj4/E/g9JjN+bUzHjoOxY1ExdSyYIc44g5XjCa4mB4kDaqD7E2CSo2rqBNNg3cd8I7C5CRmV+2dteDZc8yuMKd/4403IHlxcQEJ03/ocEXTcslwubT9s6viQFLKFNfmWggk552cwdO8SNJSssWXKHm4n7uBitIPIBE5fVHPIk3BDqUpMmAT8cEKcpNKBsMF51GpDcrDPheTDtUXZtaw4I3SC2lSLObfqhrbWNBpR56kqnmLNuQsLCF+f6mJQEpJt0UwJXp4sMSaTRL81lR3sEJEgI2MYLI0XtVb9rfAZcRGW8b5XkC5AyJjc6KCOeIa3Mn6qNzkrDqcyTMwro3SbcHlgb7a8mrP2trC0UPM68foOHhr9aXZvqdXJtdff2YRwm66t3Om/4n+xevB4m2PbxFay3Af55Zbbx0bHDz59DNnFhfw7p9aaQAvx6CqgFXZMiGoIrycxh1+OMrWXzrK2eQTE83gLIccd+DxDmhjuRHF48tt2I7aDVm2IWYeU3HzDt9RGubn/troPm4r4/rr3r17V1ZxoXNlZGSPrKDWsgrMriBq7x6cxLQsowlGmSdRf9RpEXMjzWTOhJKkXChSosqczJtIFB729GIEY0OVoWrCyAqkRgVRyziUICuIyZCEAUD6phPZlGRLbPqz19VfWzi/3pbHAb3ELfkNIw/CbQYujph1uUlrWJYIUbHQZeAwTIoNaokCUGktsHBc06Rt1citGcKhxgfDQmJVE/oWocrGhhyz8RFH8+m2KQhiHrIont5QjikGBqvNCjRrLxhXhgY7Bvu75hbWursWet27L5T9fE8QgzBoAK91LSx3XVzsPrteW9m1p3NtZf26O+lhEhST1A9XsKw1+7t77r3uuvkDB5575pn6+tpnf+EXLq2vP/DAA4YG3kUdJyoYuvaC7jDERxQHiwJRr/EGEhhT1KDbg5EinSvZXlfZKwl9e50tllbZrIyI1jkzoqojcCPv8uSVIwcPITdb+5ZOkS48yTc3N4vvheOxvPMXLmCVEDyWPjqKJblb2aZldrV3b9PMnIsutXxeyqSHSn4DRouSe+FwaPOS6YXdsyJDTdMZUAkqAxtirqZlE1SYvimDXTVLEqocw2odnaGFEvIdX3T++OCgSL74abuaL8mGuAFDLEyHgsBh7go5YUy0YAKr4GsDMD45gyUUUuAg0O6ndsvGB6GwIZLI5JK1HjRWwJlYKEM0qt5sI2UxhbLyKtbrK3MDP5lfvdzXOTy4cFtthZ/FrNdXdrmV0j3T+lr3/Er3hZXuK2s1rKVQq6/0dy3vH5q9a7HrjcXuk2PHu3v7yZb+xRs9i/vFBAsVkZ04Pt1/8y1f/c63V19+6R3veMdL58//3QMP/ML99988PPLC1UnhS3kSqQVFd+jxx5KoCSHRjnOZohxgPCspsLBTaP1ozcQCyzcZbe2uqqoVnqqy20mH5TYuXbp4+BB9EgC9tvE673AsyYRSc7q6u/F5SrwWizceFhcW8GR6KXlhJT5DjvcQ6d1ad+QJQwwyLZoYuTwmUa7zEwXlI6M4MxkkAod15aToqZjQFOgYSdKulUa2ppfBuf74eJcx2jodcGkA4SjlirUsJfB6x2qWPYspkZBUSfJuREIiUIsk2c2GaEoF90UXBYEh2nnF+EWgHAkTCsZJM4nop2eqZ6cD4rV3NBotKpquKRToOVIqE7ELVT+VUE6IOOVsMFyMklj5FJXcQ6VP08BKHF7BdgV6vb56uvP/ffOx2TU8hVRfP3jL88e7Pl1byXmr6Z6Z57prT13Zc33/zME6rQYaTN439YuXh765/8jrtfWuwfm7ds3fLU7Cd/JvfT1nodFf+ZVf+Zd/+ZdVjgoecHnppZdA/c3//M/79+1/IYSIuncoQaMpET7GQJkconxUmSRpmGA2C06KIpNrroVd1voyq5ujLpO0M+q8P5iynDlzmj4ywxgkHfKG5ljhXY08gz17Xl2Kw8uDSMX9fNVq//79Z8+e7ezs6vFXd0GtiYpjis6TgLfFKcyu8HXzEX7S2WuPctV0KuIMRaVODatWhlovwTK4rlFQaymrwaoj6abCrbVSFJoEWaRn4yZWVJQ1QBuIDJYRLUvUCIMrWI1Imqtvyh3THD43uY8ElRDn24MzFvniksP/Mq3VauCIxvQF8CRVQeOOh4x/ZGtSbNH8OBySURAFwMmPCVrQYtq6Be4dwYIY6HAqwSGzgOLJgEZIIhaK7WmhNkdgYddzb/6IZlfkwVrt7POLe3/myeGVe7NqFsf6D796dGC25/x+umlorxF0rg2OXv30Wn2R1nVYD8vpOd/xzh8HR04EneSJhx+5yCsAoerpp5/G95XxsjqeodnzvnvHHn0Uy1YJnYbPsWWDGGPMMclxFDLG9TumFPsTm8V1gSBAMdm1V9qYJ1jsYDxeBp3mWEjGNT/HCgNYg9hIHwaRJJI/HLkinnOnpbDW13FKgJU+Do4frHe6Bf1toiZJKJ/svrKd7wxSfItjTDXuzKSEqkHkoupiXYFMaCq2TBWBQfTmQGSDm3W4+bRt9BKd+D5O7rOlJSwVq+hoKqegdsLEya8TJm756MqnE+598cWgs6JfgSGGLHuwEDS2Imb56SxpRml6I1w6BFFMmo+Yitq8kFKbclblqpDa3CogxTsxEpRqLcFUcIhcvzNICEu1ZWiKDNki/Nz8pMyuRB/mWPOLU0UPY568/vBNr5zZO7Nw82vn90zOzvf1PH77sRePyrMotfpaznUvEdsFtxPPl6ana/U67pXghSy8A79r1y6c2dPbfFiIHZ+7qbhp+1Sk3x6yJqwsIeUULKnfHt8aaN18ezEX3z20O3nqXHoe5j6YY62a4w2fnbs+SdMgMY8i6/xIstRTULXA2ONSL4oHDx46ferNI0ePJSy5Abl48QKyevfuop6Vw+QtoiqxOOZj8MgAACAASURBVGOsq7KUOYKqobynNNNSuBrrhqjaYvyGLGiJWRvdNk2RpJ76yjKuYCWuoigYmtu6mDNIYiBfDx4EuxQQPOpJLfAkQOdJCgBplTER4UyeU7F8s45ZRoFtbamcyEI6voKavZEK2jezVdQrRuYKrigBvEKZKyQXCV+aZcnIScJFVsRzCGnzDN+WInIbzdmJJIwNJsskT9lGa7+VY+HKzpCwnJB7A1CVjWdl4e0h7O/bXe9cX/MPCMDg/p4hLDmcu8Hgswf3/frXf7i0tNxTq6/OzH34O7OrH6i/cnhfLr0i3Vm+lgFc/4n/jsdZTp48ia+wvfe978WaQK+++ipe17ryve/j2oCjRHjK/6zErYbLLQu1AWrkDSjLNp83ZTRtr1PrIVnh6sDG7KF5Em8kBsOy36hXcRFpgwufA4MDgqE9b+h52PBtcFzK6uSXMhhR54MSVqilP+72HHLq/+V/Tqz9obUbDh68cP6cReZKOTcx0dPdM7x7OKkVRkWiqDAAuwleMFolvmrR0m8E3srZVet2SkSye5UoVSgqjcIKaFU5IDJBo5uhR+649JGUpMMLX6pnGkrSDiwwuoT3hXzyUj1g2csvW0k7ylJOT4JdnlKDcPbSDiawRgerRTmAGql1xF15E3YiJ/WejYxhnCCFyNRSddkfO4Ivn4lvHB0fF+68ZbzOEhdupRTTtMhAoPGGq1UcPmOkEqgcjxHK6nuoCFZwfKgoQGt7YqdYhT9MtSlO/o/TB/YGvQWwOgdKByvkMXm/rnFEoxQUZkCZuGXhLZmcbmyUUrYXyHHdq0eS0Sb6KFTmj5E5vKXxa8Hygdnbjtw+WONXXPAM1vjNPUNLd5XIufnkROfK2sXlxb+9+Mb3Zi7hNOvO50+V0EtVzluE//Wtb338/e//fx58EBRYjV3obr3+enw/TpYkbSh00whci5TLr0RULmJbalu2u2VG9ENkNm+U7Xxk0SLXJLU0XPB/6qtCSXsavkyxo2N2ZhZPX+3evVvqAqWBcGUAGvl+ds4snwkjmazH8OeByoBp0+CuoQsXzo+OjllG+KM0uH2JTzmxkakspZGKpJhSZ8rN0mcEtA+RNcU1KQdCYKGxMPTbSDVljjBm2RNLbFFhBSpqFHrW5TJZ7kCT9dgoRwUimK88Sb6jghO4tqu+cH51D83p/QYWIiUMWBXPOhyNhT1b1d+WecGIzTgcNApSa0MFQ1orEorIUi7u356Xj99KwaHTkgJZ1zy7kkSA1IpVNPSQc7RXLgUsWy7SqrZwCaOVU8Ri2RPYsktVEhUmoLhFjAkR1UWScAIQro8yp9pGAGIDgcQBMATKBi2GWUQbdrEXTQoU5shPlSC+aJEBipmJGzkuUcoVkYuMBRaU1rqO1j655z3Pzs6fH+jbu2vhnXg3MCG1fmPRUdSO9/S9sTR73xBduOpdXIJ2S5Owo9hFplOzBbIXX3xx/fTpDx469MLa2nM/+Ulfvf7Bn/vA8Vtv+dKXvpTlbwemUogqEbXDmnbK2CqjufVcCyIZebgiPyQxQ5E6KP0jPNsW91KP5RBw/9UDjJdVITr4INL83PzoGM1ski2NB9uDNUjbs3ZDLB2vE66trl69OjkyHBbpVpLzF84PDg7uGtyVWLgjimolrEGr2mJsH9o9DLPS/kJs4ZglkmYlWxgsSTERUlIUxog9KpSw+iryWUckMIs3vtb9Uu64gw0w0fHGJTfHzujG5EtLLHIdT6WuLodZlEhWGgVIvtNKPxY26EpgwkueVuKLyCqyJMIrcuWZYwKHam0awKYmKz8xIE+y88u3WFZGxFRUbfEWjpiLCy2wFAuzNSY6EjRcoZC8VSpD4oJpMSY9nJEhhVXEFgAbilCzzOxiYGKI+quZo3iXfd74cpO/tdXeoel3D4HLXUdK+YMVHR3n9u2+reP0iwsz//Po8ZcXZm7o23VhPx4sKWsQmEdXsND2caN2vDQ7e7Gz86O/8As9S8svPvTQs08+8c1HHk6VNy5b8/KpG1Pk820ftsjiInxTlvLsBxzUHB7OL/phThouk5KRNVEWEkNU25SBCXFW0Nr6+mUsynD4SEJZVKQrDkg/TsEimpbxuDqF58DwfgauVKkQqDp9+hSubOE+uCJbBOA/9fzMJnGRqmyMMuRliFJ2bnfijmZaKJdyeXWWqPxYqE4qS0KfFL2G8CvHl1DmwKk0wiMxhYiwyFH1rdgbQ2IlKxzJj8VwFVKPRTi9oli5twJILGyvys0SbpuGDh7G6qiqWhYa7msSjAMQuWBTWiLj94HMsgPmfNyshgtarzmI+2Y2LjZ66lOchIpuHrCZ3dHx0rGxG05duP0NknO0Z2BqeODRO443FEoTLDEoeRj5ytTUP/3TP+Xygx5vwnNV1mXHUViRK3HbkRsxl06jY347N7LXk9B7bJUd3EUGCfKiLIz4JEVqNFA2PLBVjGzbnp4+N3H2wIGqX7QU42h2X2V9rEau4Ds8OEHEA1iWcGxsbGLibFcXPgVN0yksyoX3Ng7wtwstWT5soyudzTdOoM9itK6kSmk2CjgdkkosrLpW657Y0YSTmaFNeIM/lOyMI4MkW0MloaISFzils+hNxPBrpEYtTVQ3Ud1bULQJHnln0kLa/Zp12XjCPsAdTfGQ25TYZRlTXgvBKQGpVT2kOCVgY97eSQRyg5O2HJPmUjYIY61jbb325kz/3OJaZ2ft8NDKA++//cTxS/smZ2f6e145NrrYnfOEVSSzhluEfnv/z33gmWeexpflPSL6tUmE4xMWHApTgYhwpxasA5Vt1KaCszbv06KefEtniydDUaDiKhiS1/DVbc2hzEE19rclpoxYrNW5a9cQVkzI1DRAyHUsu75IAwapjq3GRypXlpd1dQaVgHSlhRsOHsTHoM+dmzhy9GhezJXcAFa+hQ1JIzDLhv6lSOlrUrRwI6n59VaswvmkjDU0ft7PRw5YYo0kWiLVCRMleaUQ2kOPUUYCUwWEK9xsaBRWIJetSL7iBVhLVhkNFrvuXu5nIi2xBLXYEscTmvYWrUa1rTUVIkrsb0KUiRdJ4Cm2iNKaJCBWUa6pSpBb2yxShnSxwRnmZ05AelMhVe0NGqzlIVNCfTugjFo9Bqn0DInWvA1QBHLjkw1jEaUN4guX++tzZ7o7VoF8cXbfzePdrxzZjz9LUw7jWIi0ocw5dPhI9Ts75UI3t9ameTVNFFzuOunEyEybpFW0GaRomyqaJ1HInB3CYikLjGrebi+odU4vYQt+sQzV/Pzc+PjBpnWxezzH4mfey9cgRTsWhIOP+znK0TSYXb3+2msDg4NHjx3LoYhQkC7DLLAFmiJ6LbjBmcsWVgIBrMwiOGFptkhTIcl4TnhiJ034r55ZkQicecybjxzWsECaHFQgLJ8ucBRCwigSGsqxWhS2ErJqlCypUjyA7trqGq8NmDWAejeToopmCQQn3pNgK43K8aa1QJMcQ8+lpndZOxMRVqOFQdasAZbdwonGkiJxmWTSodVZ4sNphUsV8Rm5Fga6yBEnX08DjIQAYiwwJqnkLCAs0CVVCqioxAwpam0bATHYCtRIKjJLo1VvAxKB3BBlIwlipZxd6V6auzLIsyvgh9YvnZk5euNIwUIOBYEOK7njhcGTJ1/NVZnw4vLVoUOHE2R7iprpeeKcbXxLzs2YmIyPIiHDESCh1FFSQwZyN3B6+WnRd3tf3/AXFtu+BrjUBy+vCpGVZXV4GTvrF087HTp8qJr3+ZbTe4W8PlbZOu+lgTPZCzqJGUTWkNt9ff2MKOV3dlleQdmmcESZHyvZwhnCUoTlVAf0SgDSky8KkAihFMs05wkPIv4PGN0EZCHJrXSSQSHJ4Liiwq5lRpUtEjYiZyO8PbWl+XW6oZwKMWUC/ZhAzSHRtwOKOlMKGJGldKWVGxGyEd5SoxpUaoIlMTNdlSIs5iVGUsCxacZLUXAGBggBXoY2V0xRWlIjEyq1RwElSDBJUckUKFIhBM5TpWYgkak04qoWiZZDZDEajVjk26UoArlR0sxcXsU6WasSVUnQFlZRCHdz/v3Bb164cCHSX1Do7Oz81c981n1XpICmHK2n1xjb1B8cBiwMCTqLoiOE/yeSqWS2tOjHREOyQRDqEOpIqZcIpOIdoGVPE35tNwDWtV+oD5AVYuFAsZVQqQUXzp/fP7o/zVcbMAsXm80PeZp13ospTcwDEaeBGuoALNaA59kPHjo0Nzt7/vw5PJXlGUBQFH4VIrRJ0QvI/CYSi5zWPKejQXz8EIMiwaDhf2JEktpqWRp8FgE+COR+lPA5DcoeafzpKOyqLc6shbcf1GnOIi0FgGLFUUQ80Wi5AQ/Ub0McgQYJhngilvbBFEl2jR6inJ+5StEGoIGRbdAQjhC5wqoYoDTco4MY4OkxVjMg0hjiRxXAVJUXQ6kSQcTy9sYR0FgN4RW/rl19q/NAI5wrHT3DvXiMJYRKKUsiFyZYs7OzWbp77rnn8ccfxzLutgpPCuNVfNLK/0SNKkZRJ0ag4SHe2eT6Tjw2WSuToS0pNkhSa2ITsOZtQx6iTKglRxNkuaCEOCmW87aztn2K8Zoenn/KeSnPqrBwcANYyY1Q7edYHWXXsUiCxN4CQa5C58+dw51BfI0AGAArtHDD1PCwrtse9CpLDFR6/F+TXydM5BU7BwDdgZJcHJXBzvUEVpU39sU2iKwMrhqCPaQdmZHmbzURbyUq0+C99cXzqyNJSKgpQWPIgvc+42zradPbcSywCOQZI7wifWLkK1UJAHKtUgLUikyVHOmrUBBLVA44ckXlIr0ZMvgjRPYokOhGrQsXdBEUOeZC6rTQ0SJhp6KYmlPx1kdlw5FgqOiDJlUULTMz4HpPwQFLJDAuZydt4lomp55QtmWCdkMMpKUxNTsL7KytH9/X89qlA/XVubVa99DQ4KHBOdsJte9bu+04AAKaYOXSAX/DDTd88Ytf/PKXv5zzOiEfL2zXsHKTDpMU495kbWsXXDFbgrqmGZQ1s8KF1mwD0NCNKv2jSbuRPJNXrhw6jFvGtuNUNAXKcijdHKvB+ljKqEBk+urKytmJs2NjB/CBJ1SI68N+4YZBs3BDxMaF0CP4BDtLYH3lXkA2iB22IwjK5b8xM+0RotRLyFHXDpQqbf9My7gWLNVBFLUSfdQJMpc+cBpIGQ0uSBNkLk0Jva/q7OiSu9KRwPj0z9MaFwKKIG1uPn6RKeRc4mBSFAmKVEDwufuGNEJg97lyFJkbNNWSBWi6BB54xjMnARmjIqmWO4NgNN8sQT4cG+NCKjZAKyLrCTTaaYQTuZ6e0AJjj0394lK6s1xJnbBbZAuiskKswM2EydhoQpV30A/BLTRFnC53Pbc2QSZF0Vc9/GDfmlju6V0cPlRbWBnsqa921TG7ytmkR7h+AcN4A52EkyZYBOV5/Prrr//VX/3VQw89lCM1ba9cks1A5hlarKc56mI521lT4oNkmRKUZKg4IJRK34RXhTxnzpzGt/+QDiyskCyjqgElXfNZX8e6C6vxsgvKJr5mPRYCXFSbnLxy5PARyXKZMMnRdHR0FO8SdtbrOZfcxAfw2MFIVSY+GLwBE6Imim0RUkVf1NtLtGaDq9K1CgA2LSoBAJVsaxVpKa0ES2yFWPpEiBYTXmVRAsUwsLbuL8wbAhzMo9ZXFkOjOAvYiZVcLLBJZCkzcIlouIQtl4CrclzOJS7UyV2DLm1mxAnSKYBQShvnpKpQICM/B8EaCJ/hyiACN2tVDrGWJZA0825G4CBIvGHI8aYqwqQtcOY3GEcgZVcmdUoxDEAUkgBcUi/shUJiXlvKii8SwmZa1gBnhVDoUkE0lRUeT5+lCTKbgVJNBbwlZNmqLKZAalW0d9rSU7rhnav+Tl6xnSkQEzmaAMAm1JSklJS+qPgaFhoF0uGDaDzGfunSJdwZxNPBS0tLqNi7dy++LhcoNgWCHeKmGFQEk+6MyZti0CYKVRfVkzJ3CwxRXqlPigVMHt0cddw0kAFza9PTU1jMM1l6yssPv6qpyEWLVza+jtWRu867pLhMmPyoQHz4SBzuX09O0jedeNpH5xPUDeSfiK51YKWu06dPHzp0qKHlaszmAghQEgKKbqnOZulzhUFIkSKLt7DIUdsUyJVviSEEWxG94hUQ3mSftcQRMFvgLaRz5Hzww5fkvEHBOE4nCMJfIyGJbaFopmicqTzeBuMCYWNIuMQ8UFshDFtEJE26CB1HHeRqU6fYNn3S34ojWI8ZkewWC1Z4RRFZayFE5GAPzzQyJFAPeJ6GtVBbZ1VX9yzmTaXFtdYtUVpcb2kL4ersgVKD5oFQlatHYghzhY7nhSDkKSgxSJDZHR/hKOyuozgxeSpi8jyK7cFR/sAvcTBjApx1bSi+ewIfBF+OfxNfwzNYSvaxj33s13/917/61a/ie8+4fNXf3/+bv/mb4+PjeO7qz//8z1t4kF4lM1De2lTrKfwvsVmYGhR/ghJ/ompWsz072GED3NBEa3cR3JwnVko5p4YQZBbOFkVOkAxIeuH01PRhujlImxUhsMUITRDhm0/wxI1/Ug02v5EEXuc9+pYOyOIJkyfvwFqjuKI2MrJHHrpSvB87HAI9BLOrU6dOHWu8aoPKqACoe1nPs9wJDXiBSZBJ0QpRXYJMipYSQrDlEigyq0irlDdLw4ILdpafSQLCCkrgRsqCkAK1Di10EI4tj4cufayvSH1Kg+mRrFVrGNPDKgsu3BnGMBi7yUA8VheKiCuMQJpVREOfp5RIuniCgXhEmRwlHJ0V5VmLfp2mZliKRLWIL1cdgkviERhzpAx1kfst2hHYmpDm2iLTq4OwzYE0aAqU6qErlZbAFxTtXeYAhz4jPBRn4fB8hFfXHZH8NLMnPaILcnkaVMQdGt1aQOzBVspknUh5MhgurnkHizSU4KECz6IgMlj9UaR56cQEOGeC9cwzz+BzhI8++ig9vFyvLy4uPvjggx/+8Icx37IZHGu1YuOauFREB0OLqmIBVLKUFs5SthOT1UTNFluTGCfqs4xNm9VQhOYiRFu4RFOQ6buIEocqRSUAKHCNc98++ualbBGPJIqmNChQLXYRbCtcAM2A6AS6H1TgXmFHRzTHikmkhES9ePHivv37+7EiQ6MNiY3FsSYmJnDmUEYbeVVGGNVZZ1GhQmyWK1I5LUZgi1GyZoEqQpSGLNRCrKkAHRNpybqqSAGsoHJYMsbSJKLKi2WMfTV8u5UezvObMxh9OmchtqKYeGbzW2RzSHAa+mnAj83jLgOU8McCHaXUKmPML6UYZ6S0AiYWtiJiC3k0LqzTHqrYj7ZGppJbqlGBSmxbTVTZujjAzkwbZ6BcqCvLLHSWJKgUBWLyRDe6juvEgczZLJmc5HOGOLDZTijKLYbpoBwfusWGG32AsbQCbubs2bPHf+RGhPG3CINchs6ePftHf/RHcqXqt37rt/7mb/4GXxf5h3/4h8y1q9TttJzILS1uhLdUcIXKVnVTAyVtVkFbTFKk2zZ+pm1jEVyyciwcSBVrRYfqUkgyGc5qSgPAsqK4cUwYiPY2Eg0KNGVjhaoV8iPYFkp189SK5liZ57Es29TU1fn5BSzEhfVOLZ5gUSUWAvb+d/d07x7efe78uQMHDqQsRWXPW1Qf8Ln+5SIDT0WooRRrpYUryBfZfPxvRF0uuaGRKh5ysOXS5yKVcUNAb211fr3biPC6Kvlu+FLTvRzXJ3jQB7k/p0C1OByuuPgzaTk4ydUzo8A9TyRyZe8kGKK3wSQC0chMg1SIWVSVsL1dbDICSTD5ABFCDWEJQRPiWVY5PXUHewiW7lHOo7UlxNmqGAPT8AW26elpeNfT04M5Fh5NuXLlCq5JHT5yBJMtVYIrWGCNuXFIW1sDxXXXXQfgjjvu+MEPfpDMrnJ4VOQOAWAiGjr1bLuMUzsq2qT0MNjCwX7BSi4rRRXpIJbhBgN7yGHGOukGRgLxhMllsfYWLC6FRdu1aG10U6tg6QYgcQwWkBm8zjsM8UiSy6ZiktTX23tg3M+ThCBRq0gFsHDDwAC+n4Mv/LiFG2z4LKyiDK/imgSKROTqS2RXoQGLVWFhK61UlGvtUppIi5UcwVAPKdiK7NCaImXKLkCpKFJUJIfq/AaaXbWZc6vukxeJbSgKplwU9Qu2iXdOtLAIJojlfqIHAsWH7iNdki5reRONI8CpilRyIK8EqRyhNtry2UFfQmOlqZEl9Pk6PNZK8zj3KzJLCBL6tGgDjWBiuuU3kmyD7vFv/7YWgTjSJMNGW2QmNFkCJWs5l0TC5u1x6Qqzq76+vg998L8dOXIYj6o//Mi3JibO4S4KloQcP+g/Z8LfOiUzcj3BjOzee+/FpGzzDN2QZBid/IkngizyakMqE2YJW2JEblEZhUWL+UCRCIsXTsEAdmmKn+wmJ8uMd5QYYXiQQa67jc40/GZg0NMJtijze1wlWl1da+Gbg669RI6azjq87LhNDSWWxcLTAljozVEyO97AOE0PXY0Mj4wECc1AuIi1uLDgktz6aeF8geKA0CncEMiX5bug9y6fSnTl18VY38AxFiVvn2tTX1S8BUSdEyWUIi/LZSRbCUSujNa3rH2iTOTbvbKrUlubhVVOVoUSg6azVl/uoBNNpddaAbQbrWG5EC0YAD3Idxj6lUKdUdgL4Ai8aDEp1zChBCFp4N5pDVMYgMCgsVuuzCxS2HVvJWRhsKuurCjQqxwhk2JWjsWIHN3bqkSalS9klkA0Ko0AuWQJF4rSOrInFt+mAOgvb1N1eZVv4woiwMGkrhFvuFiDjVaXxR8esUUi5W0x084qYWqE7H/vPe+54YbrcX8Pj8p89CMf7u7uhh9YT1TeCxSLw6dysh5MTU194QtfwPl9tmrTMdIoyHYFoFJbKr8XGILW7VN9qqxEltqXTwMRDSjy+QhLw6zwGxrnt8GjRXlAdr6jaMgNaNCFNIa8HMSjTu7RJRErZpXDVqIxJrSpRVpiA+M6FgJTR8fkx2SQ5Zgb4XF165G/wGXYGoFjBw7gtjjmiz09vY1oc+srmJ7Ll4OsJIqi0CDZG8tRCbb1EotYCu3oGMRRLpILvMgBsdBkxVpeCydK21W0KsTZ6JoTz5rINdYnBDCdaJgT7ooEK6fENiXLOk5cItPy59PRwYao1FYqxL06TxThGE/kfosQos5Xpb9CGtMouwIpV0HZikl4k2KBgOCKBglAwmuLCiuQKzlHmslqqvVzLFHnU4CEJZKz9uQI99mV8GZtU16pkmKWbGdi5AAEH3PM5mHDhhEuJEUKejyvzRDsLL9xfQEbjBwfP4DZ1SuvnlxaXj5x/Hh/f9/0zAzwmGDhvqEYHR5yRwW2xBXMsbLIhKb1omhLksuKU3MUkNqkaFnKYLBBWQvMlkthOtxXlCU8SRrlWyo2ch2JL1Jg8O1vIGMDGQDrsYnG9Y75hXk8vYQzdMaaKikbdKHxgbNpiA/z6+vLK2fPnxseHsFDhakIZwB+rN0pVVLGmg6n3nwD3zsvWLhBGz3hyy/aGGQpXDJwhVBmDW2or1yFVVokSiUoYLkSWHKM7HQTraSeiomcpJhlyDEsy0MqM6KtLCYQwxwaQpRLAcVxpwUJXWMyOaya0eVy+p3KyQLWGIZVVDAjQ0MIsVMECkHgpNrQ+Wmy5cgzIzRzCmMiSk3NChdMdm8NEKWKEQvAkohNiixTmbIaIozysnA5oyQCw6+gApGEuCA0erB2LIZTQQeIAV4IIX18ASMA9Mc0XEUtoiY7CZ6XPXAFW2VhTxt+lSshS4qBIYaUPUaHbFG8ChT7FV8NyD9wIVTSZHoAUi3VxCqVCnCYrL6UQlm3A1DzTp0+866778LzV4cPH8JMaW5+nuyksIQwhwkWDi324azWLUeYi1o+V2irzZIRVlGQNc7CQV4Y2hzOSiaY4kf/saNY2mrC2s0/3Eovw/rea+tz4DJxOeSto6CIvchxwNoQw3hvAu/fta60RU4xgsy9itOEqauHxg92dIXsVak4cOLaBB87rd1anwtQG2J2deb0aTyiiGbKcGYQeWIklhzTMBBnCUWWlWhhoRcMmSXijBRBGkQDMCu8AYOtjpmpRMMqZQ3DltTDEgWf9oVkIgFMJf6wIqLAE6E8bLmOCaExF49rpMrhGaSiAlTwG1uosgkrAgXQvVWhcrIA8Wc2VuHEihzFWFqVJshcGlT58YgehyQa+k+4hL28KCrsXtQJJuF1Cjw1KJVAgSJGz+R+RUvClfBybbbXJZKoqNLYJDnAE97IrySHeEJgIda6KNIkvioNR02iYgOyg7nRT0Y6M4EVuZF00e1mJ67Q0k+k1EgQfG5tLlInBJGZIGU3aDzMYyPiPLwxpEUwq08tVIlZGq3abAD3OjBZwl3OH/3oR/hMyIkTx8+enUCwjhw+/Nrrr8Mw+/BMOEThMfjkm4NlhiKyJcEtqSoTWl6XK5RTgEwBoHCJnCQlIpnaiiKoRAqqQCxXOyIRuTyNKXLZmkdKGMBXXWNDSsTC0CCrmjeriEPkxgqKaBmPEQ4LKwwODhw8cpQexsr7lg5OEpDI6AEiCToqKCBLsLY7XifEtwuThRskGdRWUAos8u3e42l25WFbn8INyURIIiopqtBCaZahkEjFMJBLZpAiEl2g5DCf9LRYAXUfwohMySkINSqEnodRN5OIhlTrlBXtLGOUwglxDcszrK5ghRqrTmkCoBCbarUEWGmAMuIUnQUCr4VYBYXM63LClJ+JfSSo4A/3RFEYa5YmIpmOpfhdLNurTrFErThpNVeUH2eoF5r5Vd5MTQYRDI2C6WLCglSalLRIsix7IluM5L24gHobNBfYmAuUhsaln2hE+kJYiIZUemusNMG5Ey7SqjqMbMaxSEKqH2K1MjQFiBARDImmSCaoZP8cocgOxuWXIwsscSI+ossrCL2VACorJGGK+j7XuQHE02UJfE37f3HcHxoaK9JSwwAAIABJREFUujp1FXcGH3r44YcefgQh7evt+/mPfRRPvs/MzuLhd9UaJliKEgAWn+ANT7o8/fTTuOkYERQFA/gkbBFbUcHyqAjRYauy7FqrgKEJfSm0XpHh8BebYd5hYEXTKpJVdy4WiMtXeKK8mBvUVVrNCogV2JoYnp+bw7cEDoyPd/OFK9wrxEkErfPu51JCjkZcwRUsw2thQWuGoWjN7e7pwVom+JAOlnpXAZbdwkqQBUBmxWYJBBOkBaiA1oqzsCFvKINohQgSlFqlKZBLpkgDyHEEIx0BXnI0ljuZ9nIW+GlzfU241BgAzjZFCbkIEpj3wdqEkmsDLjpGKn9vfWluvccfPtlkx6KcCoBJYWecyomBXLJgqPrmuaw05fWA/81weW4m4LijBUgLIfz/hMgXy39FpUSDmyw7HmYxITjFwmFexGgdt1xigGCKYEsvsI1wttZKY5mRJUX0jHcmUECcxcor6euL1ABkhTv5xMiUkevdkUNSiK7Hg0EPP4KjoBE2I8ogWJr477DElWVh0RavJAoYqSblWLZzXtDCoBFxbKmYyKZItBSU3hIqMoeBUWoIShotIZYGiKRZf4sktorfPzo6Nz+HN9BJAF9cX1hc+Po3voH+OH5w3NpWz21BrN7+uc99Dgebb3/72+fPn//MZz7j3mNXg4qCUYR3alCd+6dy2V5XEkpTxYlMoSz4I+W+iph1M6DiEsCo2RIwNwwlSDHKZtCWmBkrqS0uLPb3DxQ0IoXfV8V8paUSp6UKbXpu4uz8/PyRI0dkdiXyaGrF06xc8SWhEkOFy6ngAuD+gQE4iLOTXJn5SBER79G7XQeP8VH6qwWwVf7yFfigiksisIgSeOu5hZUFEnRTaQrYKg9zr/Jv08Xv1ME4sp3ftQM5GiT81fGcE79O5wCpQs/DEUj02T1x+6hxH/fac4hdfMGe66FyCoHQkJlSMdCxvBgWwRKlYonUA87dFK8ChSxI5rIlKxGrZLm6FFlEppLdSEahI0NoU+YCQMKbS+abwKVvgYAE7TTmCqSciMmTYlzZdCnEgfOkWf4Cm0mM2EkBwWa8SFlcA7jMp7eO3Cty/JacZh2LdMlGAp38AoM9AUmT3oU9C2QM71i01172a4zPVccehbTRBmIjnSU2As4LdkEcifcargQgUWBidt5boy2erQxkUoWyWi9toC0hcszQI32BuoP+xSaSLPunkqsAuE9y9Oix/oF+iEBLCAuQWCqIj49BBl/BCma7io9//ONf//rXcbkCdxPxRZGvfOUrcEDuOwbWCMqIiGqlkNKoZahAGCThGCb6hBoGIMoJMqukAkmWqWkMW1vA1dDEAr4ctAuJqWmjcJLanDjcRLZ3l41ZKdic3JTblSVtr05ewYuvWHMLTwhmCbG8O3TR/fD4OhYom7aBGbDDeQVOKma7ZgcHB7MaG2PEblWfFC2/0ihga7OwkGWzIqG00iychoQs0z5IMpyp4BEIKIG533EHJLJIJiFo066J4UZhqnBCCUzhRJAWGXAlsCueZaQ7qbVaEgplV6Cjp7awsLY7oZMij5bW/VwqEaUCFUiIi/AJWfuK0lCQx+3q1EfNIbrsoaqi9tKYOBXqb8NWIwtJMXEoV0VL2kvWgvZyFh6STMy5KVz0cg9PoQ9qTCh+Tgv/+kti5ZoplgkFyc5VGgeRuVLemCS3xNJzawipAhWwSMAN2CmLyXgXFklaHxZSEKdOLM3rDAGhWHCsxVth1p4Q6Fiy7MDgiA1SwO6u7qNHjuL7gQuLi5j49uIeYV9/NtQ5twixqAOWBQIjgM9//vPf/OY3n3rqqV/+5V/GBOtrX/uaVwS9qUlsPNWjwiWUgRNqMkX+sUT1U9gZt6N39hWkJgylnuPJLexx0a9SRtjqhY3yG01k6+TkFawaBWR75YpASRgreXlpCROdPXtGDh8+YixJQe6CvGSq71L59onohjFna8bGxvD+LdY10bdtI63eVurRUmHtLoIjEQWFauYxs1WTI01GEx7jxFzQMEAqwCtI6YRSLOqCVhEx5ygLKIoIVBORaw5Ln4UbClTR5ZRWsrIUAetYxn2twBEW1JS0Ii1bgC+OiRnpXXPAHO0grZjWVEyUuMzCVqzYHh54gU2das4INIUeGd0zrG7g4PaQlpKm0QZqUVXWMJMH2cqNY9Tg1kQpOwKimwmFs17JlCY3rSyZRlyajatImo0H0+DqIEn1vLae0NroZGHaKrjigHfqMVNCs+LaIqZcOGKojcye9y3Cj3zkI7/2a7/22GOPYQ13HGnuu+++5557Di+OYYKFTVIEtrF5EOKSD5Y5L1iDtUXhxMZgvTVqJ8BqcZExaJQimsTJRILlsnBCVlZska1MZLE3nouU4pYzpukek/8r2YA6tbJiPJQevEgtrBQPGfROX74ej+VqXMfC4lgYxmR9LKorYgO+yKAYP3Zg7NSbb2JuV+/0p49epwr3vVIrSoFYfr6JzuyUNMj1vY7d8Jd9HTkz09hNAO3CsyBOLslxoMEEbFavYgQQLkUSZ7wRgYYFxiYDliE2Av3xxtQqqHYqoFVFQIl5wlKTJUZz+cF87WyVYhKagJOHWwguVuLdcCi2RsuGzWwgoIEX0ilBxMnD6SfdkPfAaxMoIAqFkbhAacgamPPWq9Yho6Jr2QbhqAfuJNChwkBCY1SjOahFpO2IkITSLIWb0HASODszc3biLE2HmB63WS5fubR3L65Khe/zgrGLBVLr6vbP//zPr7322oULFx566CHMzp544gk84Y7PP+Mj0DK7AqXc7GQW66uFqTL1mhm2f5eaWWyRBqY6S3XKHLUbYo7lSXLEuA2UIE5eMpWQFBmaxWcx5VZMT2NJkSk8Zt7V7S+vkivlTB2YWskciw7pps+kKSiicgVaFdyrDh0+fPr0qSNHj0YCcw1xAq2IDJ2rzNVNc0pm8LU4ryIvBMkXyYmd/wfv5AzFzaicvlCrBohiL9mhtaiAkx/3WuHVKmFWpJNV9MO2yCwwy2IwOTYXiSzEW3FC5GOXw1Jf7xR6oYHLCKUEQuUoYPltsCw+gRMy0QKBCih9Qqn4BMgyKoFWCSD4XOP1OE+UdFQgg3Jz24pSRWq/Yn5aAO6cBe4jVGHA4bDLzuyLwxQFnw7u4egeVRVL+CmqcSMkz3mybnO8s+gGGOoFgdPFPGD4cTp0krg/gAyfxDlz9gzaC89d4bGZ48eOnXz99c565+VLl7q6OrFAI+kF13pHF6j5mdNgCZh/+MMf3nTTTS+99NJ3v/tdVBw7dgyf9cWUKxAxezDNVhi4IYGhbR+Y1SoBEjy73fCA7azJimrdzC2W1VgdIgEi2cMtBXJdBGUnX8tpLDeXH8gsZ6wSs/lLFy/uHh7GhatIhrVSKmJGMV3nWEhovxRWRqnYkLUk0ucK6DsHxg/iC1ON1/0qEkhDpm4CYrbEt6fEBdoTs+yCuaaTE38oqjQFEt0iF7UKCGVCpkUFigQqPgXACR3YsiI8KdfwDqOUzAd9VfSrchSIqvMKDSnVKqUUoN6xvlrj13+C5USL/0qZp5BwItOSAVakAEoGQGqzeJLFm1Z5RPSrwhVrVQtSJSgg+CyvCiFK/rgnTA8Zim7jKRTwCPrNqra1CiuZGKBFJbCA0FhMLixCcquAhLXlBEWMig9BUJQBIF9ikxeWPJzhbQJ0OpxANimExzROEyKvSdJ40hNcCOkZcE1AIZaGqZHMbNjRLtiwmg+eu4KgA6Oj1x2/bv++/bjRgcfbH3/iCcyxhoZ2416fjAuFn8rB7cRPfepT+IohFnXA3jx95exrX2YZh5sFxQjpXkUGJZEtImtKdY6QHFRTIoW4oZTEm6wKDYYAICiSKXitVSArUzDLK+6wFAiKeBpaKSLAzpSY01+5fBlfqsFFI5fTiYREUUGR5ljr6/gi1PLaalfdXwAL5gISTo4NqUgERaQo4BksvD+bLNwAPPpYTCrm2qs1giEq30u9LlEqJY+LpWkJ1UGOx2YxvoZ+VaIDtKxECT+KwiaAwIzL0S143WeFa5UCok4uEcmhMDvTUjkKKHsRIJSJL7nEKlOA/trS4lr+6wtKWS5WyaBOYQWsDblIJVAtCmiVAMqeBUBQxJUIARk2laC1DuO7AMgoqwnrUUrKgEoQgUSXZ4OS5dbGIiOr1B0LiBaViaJotxihSSQLpZDZ3irC7d6x+16alaMYUa3FTQXYHO8lHDADDmHzm2hTLdoq4Rt0TZo2a6yPZbamKQzaBY9eLSzwou0dHVj0evcQPZeMORaOj3tGRiYnr6J2YIBHGNwiLJL+LG+4/IXbgnpn0BIXOWJpNgpXDEo5WXltVRODFOR6cs2voowgoiKDJ2sq1KpFAS+m8DeVX8Dp0AW1kXRLY6VbmBmWlpcuX7qMb+9ggatoiLMSItEooA6CZLO3z2h+Q89j4dmjlWVcnPU02V+uol1qkB3IpBZLlixh/nfl8sjIHndjJRyFVIUAMnMQmVqV1a6YVLtWGGYCYzpTqQx5ALh0E1g4Za8yVZwCypXFaBUAlaDCFWPJVAgDtCP6ssezHLeIlYIKcXX+pwjv63N++2oLcx3dORWCUisLKdpWocYr0JRo5aoQ9saCSRof2yDN9QJFxdyqlzhMGsRUVLKUKObaqVyWWCgtpoiM8DL5gPF+FqKKwrOy7BoEiky7V8kNAeES4djLJkhfav1XBeaIiEZGbh7vKWnf4IwkR9+1jGpXexTHABMsCf8tt9yMVULxuTY8zbJ799Di0tJTTz2Na1f4eI70IOwLJ1giv2Rt99YdKeLUblHsm6upTtlQVERQZBmIrEoLB/4S5kBkIEjBBi4Rly/U0/Cvo1e4HEgFFttXXBM0IFdwv9mU/VgFVKopUBFkpRsYX8TEwqG4UIq1Q8zpmsoCoMxFsJCoUHdlhB91X8elLEy2mIJ27pjhyizQqbIw0fuhmEAhxycP8T7j3BwWbtjlBJT9gMuJVqpgh6IIKEBHNIFOhbLFDi9wriCLtLCIF4zKTHQqPgv8/+y9aa9mWXYWeG/MGVNGZMxDZpWr7bLLQFXjAhpXtxqLBtpgG/kD/6Atg/jAV2TERyQkfkBLLdEIGiFEI7ql/tIWooTbYLtsN2WX7XKjMpBVmRlTRkRmRmYMmRH3RvSz1trr2WtPZ3jvjaxywcnIc9Zew/OsvfY++5z7DuelJzFbgT5dQfzlLar0gh/DK+eRvnKLzYlq0O3Y9vOPnk/8qvcGtMR2YQlGm6tpHIPHNARjzGxpMYkCocTvw5avYcHHhqm6xEdUsifAaCtlepbqulW5SdZ+P2GuJEoCzlh1YJJEoFBzLGsLtW4Rx+SogYt5VsoUHA4ENF30j7JZh5jsp/GGpU1AwqIXmP+LuG8VwC2UjQAK/xN/5r8/efKEfdn8D/7gP+BTLjDhQmkO2OcbLLxYhavd/mTByYI5QnkWGp7RP8pV7HLMKjA1LX44gXtBedoWn4srXWPKs+jshAlslpBzrXHY2DLGrDoQIDBX8CzJPJrBlJUVsKCZH4shAt4QxK0VptvFi5fkvWrZzAECcSlEZSVLYFh70wUbSnzKCYZtvPQqP+grSeCfpmOwujcRGNiibJqgRiC+Tvvundv63AacIwJoGU/ECV2AmhC7nq3SSLGPsFGeoBiZRuHUt8IIaq1ebocVve1p0UPDhZONoDURqJrKk9nqYJtrvT+0jV+lOFgEVhkYSg9/ArammWgbnecqZ5XJrilDk1GV3ZzMXU0xc6ilGUCDGAx21rii44NhsrMssSdU60XAD6ElJrAntngG6+mMDttK4wxIQDkTQS6IKqzjgRxcKVNlNXmQQHRsXUrQ1p410ROYaNo+e6gU3SpT26ycK8CcuV3MNV5qqfW02GBp4ZOmC0tv6wib/0VABXCndPToUVzFvvWtPzhy+MhXvvKnocRLUb/3e99E7XFFg5WFyjdY8Kh/D4deXaEa/5FPO4ATgdEU5S74UMnIirsKoJvoi0bpaFMZOheGsBEkyiXe4tY+QAQuy9r6MEKO+igrDJ7AiU/jnTxpr+LA7PVI6wmcqNRg2RmrSLjb+eD99/GeoLxqdemy31opdLsi+TKhHAYCMG1xAQ6DpktJumAjDWwy0+W3dOQLhsbRPG7B1Gmf785UkWKCjJy/89Z38HA5ewRadCiAvAEHz9tVg2MXarlygCrqhQlMILQmHQMtfTfFNmBOIzDVFbnNW7kyYetQsWTX0vAC91baA0FwJz+6q7ZrpRqTckxvtwb5RLAxKLGqVm6OYVNmcJUraG7lUyCjZJ34mXOwpmAe/KyxM05qYmnEQLtSJxBxVKNHEopCtIgrUxYJ5yb++IE2ncgJVg/yBr9ZZI//+1uRW+Nifwem2zS46jj3wQqtZclZ0eAmRe6MKhp/w5S9pTnC6egFukgp+FT6qmmOcZwAhTpnQLM5IPXEaTUJ00OqI/0rPZowfX9v586fv3njBvr4e9/85t17965du/rOjXfevXMXg4fP7OIOjN3PElXrBKslR6kNrkxVs/Wf0iB4YljbyExmEoNj1ia3wdQQRemnvgzFkEUCcRd5B6e2G7E/wbEQjW4TUu23PuL8nbffOXnylJ9BEYsyBSOXJn7lBg8pxQ0Pvr/62rHX7PzTc996whFoupEWBcfkWjaxZHqfEWP3WHh8A+6xpKkmx3I/P+KaMO0AR9xd3bx54xoefMpMPNyOQIj4US4dP6VWSrNKqyVnzym0Pq7JnZqF9ZDxWetgfkXOl17GdoUUV2Xg2eOyUg0QNdv4xTjcaTtfF3yYruNLlFILLGTvhYiUXUjHKlWBaDa48k4TRkco/KrMZ2EJwuQthE1HzxdgC2GgO/gxO8oVPGnhrWK69xKt3UgJTIKSg75inRFyuSQibE16webj49w4BhbS2Vg0DMk74iWZrrwvCYlnf7ol1TjVFJ5DVdIEOHM4M8UWoK2yQVGhpKaR92y4wcST8GQvmz9xIE1cG4EiP2sEFaFNx2Ymgwq2aGhAsrNJFlJrm3bEbIzffQV+5OPChQu4tcIZcPvObTyV2nI6dfIUnoQV8zvkkz8qt/CDvtWPD+L1rRt6y1b4oREGpDZt0p6Fm3XgkHfuhBhMYXUPZOmO0eNOwmvhbKowbHJZeDc/8rdCBTVqpsQqjol0E9PZ117DHQbe2os36ZkkrbeyyALrk08+/vDBh/hI4LFXXsHLP1Y3XzesiAbLbqyYTcC3dLG3LaPIQqV/JeNtTdzW4dNj8l6hv5Dl/u0RCIZJE5smAOzCxUu3b98ePbgh5kCQzYX9grOOIY8RIPUU+kmXZv0YlTgmNQ42GqVbdmA5++jiaPPCrnDFiUZkCsQlrPMWgcqVNRbeTYA4sPJGxzElgrILBawru9gp1u8/xLfrv5f7JwO0Xlg3IwVlE9jsp+taxRHI9DahvQQV9toRO/Fl8LbxjESP9dFkOwuWZG73JOCQHfYMC9zCP7fUP3oWftZQb12GtFslcnKpCKZhM325fgi84BW3UE4nDHBo/hKwBMQrwlJbCby/dy7YhU7ivWIJR8+sZFAvhOAhmQpoA5ccVSN6a0OyNVv1onXApPC2N/2IwIjIcLdL540+axrw2qEPmgGSVIc1DntX4IO5uK7h5wQ/wZPcXzw/evQYbpnaX1fTV7CaOnzpS19666237B1DfIALlxM8B6t/g7VJpg3fGpAlweqzxDERLxy2Is0V8BpnY44oCgVcaBCZQjAuFaVLFt/rXEbOUvd8UDo5ETTrF8ePHz929Oj9+/cxN/CL4kcOH1YegMgRtzH4hurDjx7CHacK3orGbT5+QzByTOevLOJiiObcDadD36p/uJlJvleIt8arz7x7byXvkFOULY0qh6NHjuCvD/zJcunSpRC3QAR0RTYRtNBT3eoFvAtrkyEvvl2nUplwwYHNsq/S4noIB7qpe39n1a1AYqyD2H2WLewShP8t1uQKnaZKXzWF9/DW8x3MzX4diKMCWxVMv6neKeGJyFixPlCpnYAqHev6LA90HP51ZGMt1bJCpa7JARqbSHFveofBMd9uBWUphvT6RTMH3QffEqRtuathwm55dhzF071bc6WJju3sjc7RE7LO51EOBf8YVuaqQ1lI0sQeBN4OXQc83W9pHMYLtwgpWUGVzXslAhuulDEWObtli0sepLPBG2ZMrfZk0AuH4NYgg7ZdaMxo1yhgRiVNjuhHB/SFa9zOllrCE6zw2Vx8xxwXPvwSYfElMPftv0WIVx1wO4XvecHtp37qp/BrOV/96lc9ZMmx7cYoqhj75WEjOOoLXGoHQoe3o9LgClenmcwHCpEiglCmED0Xyol9AcQCFzlLJG2dmThV5LxFMwieFdTphMTjRg8duoh7C/k1m7t4XVPOzRcvdvUXA/CkNcw53HmE81MgLGtWyARlcgI/gsicu1b3SsduFy38wAG8aLV74GCa3vI6Fl7Dwp9sviIwlkIFPtFEN3Fq4G8XvNA7lUoLEbvXWqPGPKEp8isa4q4K71OMH8jJlTW2oeiT+epJUgpd8JGVFIgyXvNkDtAzloJSsGP5itKlLpVDZwE/fuDjRy+Oe9fKwJlW7MjAlQkP7N9dtZ3tnoPVP45CPsdlRGwoNupROv0DX7UgeA563IjC51KBlBsbYmaAsVRO0bGfWpY7jz1TX4LD6t5prMzf9H81HGhGDcYNT9EUV8yD0qS6ZMiySH4RSed4mFcRuoxpWz7t3CLXJ+84jpZToIj+dmuFyKg0oFYDvd+HOb5zKo+8QGAO2rEOJm6q7t67i58dgYCC4c1YfMf8/Pnz1c/X9m+wcHeFzzIjEu8E4Vryd/7O3/nxH/9xT4DHKjOrRdzTMwsxRl2jIruNJKswY4ys60yfrlWU9GhRoDEl9tFTW8WOIBQK89rGHMqcnXy6uHnH8NcJNjkt6/7o5Pfpx/NWhRmq7e0LFy+aj9M06J6NuRGQgtuL47S1cO01LBw3VDtPd/B5Zm7tPVZnAlh5ENO5ySSSCK+eOXP33XcfPuJH/gvrVAP5xUGQ2g16bOrh7UKXhEMBK2koMCRBh3NgkAMjBK3rQ/DoEOUYNZIzTV/SEskqJgARpOc+qqf6HtvaebD1ShMWE26MSTHHO4r7FPX5rNdpg4ytY9hjK6tn3dljp3hZ7XWyvLLK8HkSPe+1uj1mvpZuX/3XndSLqRVWT5NecbT6wOrZCgoZN44d4ACLzXOmpYgBasK1wywJo0ennuoFJjjIp2ShGlIwCUG3tHNiyggA39RZAO0WCmqGmxD3HpSOuDV655238XaNJrSNd3Xwza1Hjx7e+Pjj119/3X7y2c6N/g3W3/gbf+OLX/wiwPCbOb/wC79QoWuzrWDuNhPtBWZdhLDKxX32C1IMgbpqBkcVYQYiNvOjbIJaspVN+kdBrTLVZigjSivvKRhwaa5br6xYQmL9zOCQ9DRwTb7kiMa1Ejm9VQWrAtlshWnYl2hlKuCAHJv4OuFBvI7l7xVGE2UKUsCZNHF/eef2bbwNqqdTO6VYvAYnIke5cRRFPw+CU7Bgg4MSAqEpVAQjfeXWIkcHglCANcrReSTnXkxE2souy5a8ZzLhmFmIS+HI9sfPnp9ugkVBn8aaASnRmZqIUFmrZgxp5QlnvdbBbgmmP7KBgPXWtPpdDrV6fcw1BSiZyS1vpdE0Etc4JK306jwz6mn49LInuJ5hxfufRXMvfU/XoN6YKOw+F5ZwCi4zUEZQdrDQuIdR63VE4ExfWatmmp999lBkzdlBg95YOrcrnNAVg+m3tu6/dx+PvMLbNbidwle4zp498/jRY9xj/ftvfQufHsFPvQFT/6UnuVd59xOOWgSsjonxupxFBJPjvnSfayGyW5SWA0hROQdc2eem1GbQNgHslpcvnkRm655ODdkpS0GVG1lygGqSQB1LhWYMic7UU3DIdIzOlWk/myN642Bn0JxISEHwdUK9x3r+HE97H24Vn4EaDWI4QNv45P5bb33n+vXX8TkzB2MGFYjbiyOdo9aIEN61mifBKUSErjI6zMsDiIF6gKcTGrYUNQ5OFuv5ACypZTVUd5wzPBljYGRp5YNbB/WXIDskdB7V3VjgRgEo0ZkIFIyGzRjYZhBWgUTh4QlAL2gEEyHVosXqaRhpaWh40ZcYpM4pIvYx+lAmMjSVM7tsehsy88+XveKaR9RaqJCjuWKxNLCPiVEZAzeSJxLZCK8ImgNfVqsCcv8afsalo46g7KTOMjureveI5/rXixnpAp3c9nnTjwxblBi9IRAhCQ6uTXT4wYMPsLj98Oc///jJE7wniJ/Hwe8140MjIHry8RM8Igv3XnYm4BUsBCF+uH3uc5/DZ+PxPPjKw2IsAeevXKaaKfMpl4FtFDnSD2D2rF7EZ1PQR8xrJrPBdS7Jz+8YZH+a1nR1u+yPM/WHlrEUGN1qaGoFOG8w9C1OntDRFqGjHH0gW8bmUGRfNBiU3iuUZze091hAsc0EQ4h7tXKAtrevv/7GrVs3r171n1BMZ1Of2sF5hFskMj1jKdB/T8I0nNVvIUHlzD5Q8J4IZ+U8QQHvCWeCJ8G+16Y3XNNdA6M5IPDF1u5EAmJSV6PwVoogCwU6wD8qU0B70BNf0tCLEnK3P6q030CQS1R7z7QEfJbdemRudF6CvLCPEcq4LJBcFFgV6atuukiigt6mRymYN8FhJOaEEDHoFpVRNnC4dVnMc4/vYkS6njybYy9onQ6d2x8WHbE0bBhE+/1jycV03fHcH+amw12uxmtTRZH0s2dP8SF1dNEmyft6X4UvBeJbhDh58W11PFB0CzdYGtR/i/Af/+N/bI9pwPfF8JIXPon17W9/u0oucka5clvX7AKtnQ9dkHV5mHcL5KnIkgDZmtjrxhYGO91C2UTjhdwB52aD+yXgeHCytASMPKmnEEH2UZ7Br8xWooreumT76D+Sq3BrJucYA0NskkAeiyWvY+GpclE8AAAgAElEQVSN9Poei/4UumRZKQ9uuHABD53Dy8JZmyfGLM6UQ9dmJbTOWA/ZsZBAEs251bcacHWdCU4BsZYY/ZknhYhfOUdTlIlvAtKpbjUIngU9j8Q/vJoVMSsZgfhGayQiVPSMSjjHZnSLsvnINSZr9S08VeharN2x9cAvQPD1Pk6RJPBxJpbkdKpdgq4y96CU6Gx9ZNO82KRQRk+1vCo6NKiYQMjQdnsU8buZjJhaZ8OPeoJTaNG6pgjShpDIYs1ZOqmubLaBL0fT7cFeqWQQw3VNr5DomXV99uZ5r+z7GZ9SnoBMBfzm7//+Zz/7mT/55S/D9T+9+SaaOpOL8sov4hYKhf36178+gv+BH/gBfH1sZF2qbyknIqed58uxAtpXSIBisz8v/S0htHDyH0i/HxpK6fnZMe1d2SPv2pxMpuREn7qxPZKXr5tNxaoYE+mGmLJrSrFTNnUxJrhRkFMa46XDZCgEEQH3WPieYe8eK1H2Dhk8DtGRI0fxEJN379yRL1fKVhCx0QPMOkBHT2OCOVKaN9wq5xiYEVUyU+UffYhvAkyVM8EpMLzV0DQSSNc6EM0FP7aupUb87E5Lrs3aUoeqI+KFX7Tw1x9aa4maWjEJXxwESKZW/ngsvOz+CQ+Bkjs4BZd7J/lPNwpdFr+pKI1WLNVZtnHvwGI2jphqBOqDRw/IyhUIrZCVU2qmv9z7xnVa6xFjpAt+kZYq4r9wAtONwqjLdKBQEVlPp+vG2FVCUUOPrIiqtKumB3WOERzmGFiZOsGfrsrHLeWo506qups+3YTIhvMBm08zqrMQy5q1WcJnrfBEBryIhTcHf/QLX/ilX/plfGP9B37gs3/iyz925867b7/9Dr5ojz/eEYBv2PdfwcpgpQRovLJ18+bNUt205lJsAlyRhsCbS47zXPBIa6NIgmlLIJZC+3qdagWHy7O/5mTgNhgKs3ZyKCM4BWK6c1yCjXNJ11+iz8Ik5ro0l+EsjRFIASfrRxy6TZ1BltWuPsthzT2WgDuTHxULjwfDl20/fPDAXved7jVrRgH+ljdBWyFi0hqVXdkKJ+DFvWb2JVQlWGD2m5RiR0aBhk+WKbzWyQhijP/VEy8ydm7Kqc7zOIZsbb2y/fQTfIVQ8Uni7uKKWNl0fZCLu95CAVbXZLvWJ2jj4jmrA+hkQSvnPJncPjoKM1KnPwXHMEVQj5AKvQFqF3IuyhTcFLRAnsi88HOQyh9NbPCk4I44IhnBiIUKVhPFqERWFnFveRW8YFbGpFHZ0QqCFqkwDxrWlWnACrnIbQAb1eZvRJZ+BIwyougGuTJFzJFs4SPr/up1WqccdUBz7mHG7ysnGLpF6Uyj1bynT7/6/nvvPXn85Gtf+3W8iIWnQj7b2Tkmj2t48YpuhohnN8gNlmWC9wFx/zRL9c1vflN8LHXsR92IQLmY5aSIPiZ3K9K6ucYWPm9ZMr70Gilsiik7rWxqGRFrbc0M1JFQu2YqSOcR6vdrRRQLw2VkmoT+BUrTWOjWxJWKUSpAx6Zd6s/OEmbSZ8QBCOsE9hSMtUKnkmm1Dq0m8crbgM93D6ZHYRkRnClIoH0ey57z3gL1NOnrWq0Jz8TCK7sfffTRyVOnrH7wUUFf2wgBrAsFM1bNENEXrSjTscS0qVt0vo+atAy0NgOTUJqtJVdNzvVJ8GQkaHSG0vTYYzPoROBNs5Q5qE4j9KSWsxXBpc/x7UcPnx+DCRS8f5KYF/JZKPVHnWTTUAk2CIUssKyzEju9aZAuU2mlEPcCSRWqyel2KzNNRCvrVoJoF9RJHXKTgZXgSU711CjIGBE8vO0svDJ7NzbiiLO8KIhNy5gCEkKqWxUQOJlG6dJt5WESMnUpw8uW3ybCkQaLCui0BF0tIohuJlTNOsDbdIOil6/7udXaFjXtnyOXSU2/p8JkQHOP5a8aG1qbFmqdCl9qi9VZGlP4SWLcIEva0Agunnf18ZMn+CLh3bv33nvvPWjgjA33UOVnRfRbhJbJBj/2LKSWwfRwJSemx6yHAnItbLGV+gm74NqymJyNyE4+khZACxupjpaxIaUluABIHHllDNaF/GQKoVPiItiuE5kgUK6oGEihcsjNyqNCJAcEbJUzmtG/smYOl6YdCCWCuULCN/vwacRD6et9RKCQsP0z7+3nsZzcj8DEhniZnMpTYeHDWHfuyIMb8NIxTZgbzM+RZo7mzygKVRgp4LBo4zStEDGzrXAGRNwASh2FYExiLv2EEylMkGKm09hRHLgFMY3k6j7NkeuGCXiJHi74OxJN9P7IgRcfbB1p75/Ex0A9qwa4VqTO1upyXrs1O48zp68IdCuq48mxAiLQFWE2kB4fLQLqG/UFuFuro/1VaZ7GHxkNioBNrHZkZFZvMQouGGxL3pEFBtXmnfingMoxobSHlLwb0ASc7V23FKrrX+G7j3auw0U7hNTlqGplw2/1riFIdKSSgrsXpKPc6RyFiG96gLf4MQQyoro+okfdWXqMq4xscpcQmirEfW1yOrWo6YYvpZE6AeX111+/d/fuhx8+2N3F+2Dy4gseNIofgR48aLTX+1OnTuGa8e677z5+/NjeU6zoc9974ZWzNOXVJdSu2aJOi5rqSoIav243iLMKoyRB5U98CpXDfDPNEU6WQQQJKAwcg9pcI4EZoacyuCeRBBRan6yZwLLSwdUEg6tA2aSQoVUa6Ss39keEQQzVFPxkZqYVatm0eyxchPGcd0DEXkVHoqdTLtpcxq804usk169fjz+bwED3ykd2L6vkLJGNURQKrfrYThy6QGZmfyjYi7zE5Y0XNQE8iRP40dkooCFXtEImhQtpUJfhp9UDzn4vYXGJTTFtdNI+8IHo4PaznfRgmiotbwoC/se/BOkGKPgnrPlki0jJGjpY2usW/WuDtsll+aCJjdNflLpRYJuaafwUbt5S1BRHigTopKYnOKwr8NUZIQLiVS3CBTcyIyF5UzaqmI8L+Rz0K0rWJJ+SKybPNAqlQ9sxmpAMtol86KBpS/70Jw4Fw097Rcaubw2u5lBO+25UB8krkeFM4+1OiJsstZjghLMHdY6MilDwox6ymLTItiChKbcLVlvz9DEW00Yb0VK0D5wDrwDF15vwodtz5849ffYUz3LH39V4D7CN1x97jr1UF9yF/cRP/MTDhw//2l/7a//kn/wTYH3jG9+Y+uiVDHzodRAzpbDgfz0k2Y3S3ONmlACCUMAVjUyy+nUFhpKAAk1RIC+FaF0kIzJ2CzERizKFymGKI8bQL5KZTFMUGEshWpfLRf0GWFRTWI6fPWPHoG2x0nuFeBipPqsxR66UcKLi0XP4Pexr165DLnoYoTwDP0ZbkIfxpQ9aALLFt0WkhgLcTV6Cb1TqL5cP5xJ1ADSvrGlNyWNwMP+0jKBRrITSlpxxFD8R0k2hvq/XS6Sisf4eeHFwfGcABjVKpNdFr5cJKpVMEuhsZo3+HadahU5af2pDxZWa8PLE6oCmzXxgYXg/Pa0rAfo+NLswgWkIEYfOGDbRh5QcLx5DQqM57e7KIjWEIDvZY+NUsYbq4o5/UkC5oKSev4wXZCWNcLnC6hnyL7x6DZ1OuqutxlJxeeLdiBqB7cLbSgobtKlcPEpE4awvv08MlwOQaraaxhq4M6cxk1+EUEogo/7YqAxG8idB3Ng9lcVgAT6appH9ptsnn3z84IMHH3/y8fPdXfwWIT6YNfix54bgz/7ZP/urv/qreETpt771Leyx/aW/9JfwyAY8Qct8tada3VDR3OFUJNYKQcGvoespzJ9RELBFwCqIZZvwKUJaP5IVft7wuZ2TaBHcd/HRIKxzCGoRqaGwCLv1ZgFJ1gIxikLrM61hCQthADe+/xiQELSyUw8BW0tHDYUKAU3cY8n3CnGPxanUOqmGdNkecA8clL9s8NfItevXgjr5VgtmRuhKfj2SLi3om9B1kutCq7KTn5evh5MLkwOzNKQJfbaFT9LUewv2KbEJgZLgXb0SuGyRaqCmvRBAuYtKWg55sUo+BmUvnDhslUSB1muYvxJYN3pOqjPzWvzO1K4YymEjvg0Bm1VQbCafEic6FLKVy1QeYggjrpG+gGXDFl29JzBdFc6mChxTTjNqiNgIPtZ2GSZgmLQMSWjmU/nTaZ3gRWvPW2NhPutgB97aKVRTymr5wxEUXoNOWDDZOWsnaPIMVtO4giMg6qoT5pM8UYCwsRxBl0T4S/0dCwT4THnuBbyc2/oD56TwowFNUETSMq9oSfIHH7x/9108TkF6Cqpnzx4+/OjhqdOnq5/iPQS7fFLBk0M0vgmF167wAa6/+3f/7uXLl6H523/7b//O7/zOF77whd/+7d82eMne8i6zT+SdQyAQK7tJoYoxf0aJwEblOttsOVrNND6KlPo7S9Y6zOY969BiSjHQCWxdoQ0gB4XWp9V060SlCCUcW63Qgs8PKHuIYGMld4RbRBYDBjK+V4gPxh/Al0v5nHdCh5BaZ1kGB7wA/Nq51/DeOn5rPahFlHrFPsTYGtf9DaJnNUuxn3YjNYVi/oRzbAYnXlkjvyw3uokADLag5Bkka4dOHJJQiFjrZOObmlOgxCfyjBnYmmE5f+dO81w1za1qer5kcMXi4wAwxZu18qmag0KW3VyQjw2dfXbNZm03KNK5rBecrndfmfy7vbOIyTuAHihHgNNRkiuK0NAV1sq5z9HTTupYGQjYhNGLloVJhGVGm8adyax9TMWp+rsAmVWFr4DjABDpihczY0bfSWgWQL2KVq6S3GErj6kyIB7rmRo+0pZVgZPdRaLJk86a6GhuQqpbbEJ+9OiR3l1tnTp56sTJE3ABPz7wjt9+xjcF8b5hCtvaOoRK4M9FtiHgoT4///M//+abb+IDWFeuXIEGMX/9r//1X/zFX4xuIdWotpQASCFaKZORQjJpZHrln95LBKtX17PmGKTejZ1StrhT3nO2YQe0JBJd8bHZCiOuIYcGxCETz8HCNkU3TVClRb5RFJnY+aip0Nompracd83Jnuh6WPp7hXgda/4z75kOOE0H8F1d/ImCF5DlwQ2VQ2z2csjIUWooojHJ9IGALa93yZ5nUMFbNNx1cEwLmfxVJqtruIsSFGVUIb0EtQa6y8guRWtPmTrbM2nooa3nz6wsCSlNC3QoT5AoZ0JiVr2pmjlgU0kB83WlgjG6irRqViGjpl6v2ulRuAtyrkw7xQvn0JiBDZ4mJv9u7xrnlYqcP4ZZC2u9Qs8UyfYToBz6CR+ahCEhdotAJQULlbDZTMgyL1ivc9/nIxZ7eKoZXBK35Fd0AZXSuE6IDRMHK3kKibx8Vb+yzcRzQnKvI5uaoO4Qqc24de/OzUJe5cfmvXv3jPnzn/8hPHwB+oePHkGD52A9+OCDs2fO2Gdwoe98LAvB//yf/3O8iIUPtuNpWghDtv/iX/wLghr0YM8cKHTmKG1dEBQyVWfuNs3CjWAas0u0SKm4Pq8WRax2kg5Yp0edGOlXUVlREWJ8bWxkSbLVtnUdaQhhZGhSaEPoTKH1Wa3xqz7Oevn62NYLOSfLbkzTpfcK5bd0Jh3ZMQMvKZA2fl3qHv6mefgRvizi6673ZhLYFyx3tiNCZBZqQ7h6ENRRqHpeQnZavjDJOa95xD1JudBpFmv/HGoqlfOgiULucPaqqxksY9PJ7cePXpyMribrCiy9BRNmC2ZN49NqGpclioWLSHdkl+Cv8On1ciZ8n4oww7KR2QeP87ODUl6AzSHoOhGqWtXrBXhdnk9jxLvE65X7lCoqJacc/sc+bFZB7E2ApT8A8gdC+LsoIEgIkmS8rJr4a1AfeGkm3UMXXHKvSGeJyXmSVYlmZ+eZfVbqyNEjuJE6dvTox/LRqRfyuOl37yIx/GnND2PxBoswW/jOIJDwRJ9f+IVfsA/G49dy8GaHPe+h7Mtsq16wtJyyerKumVjBxKb/DLqydvmW+HQDs3IOYs6ekXrSXPScvYdpOqsW5EIY4FFNYQw8Zyn4es7koNDzWqkDFohtG+PydMEpZOeJTClm7AATR3mvcBfPeZfPvA8DmYAJPYrzF87fvnUbP/x5+PCRPl286FKmUMXkjlWGiWYnLa2J7MzGYF1xpL6yqOAntdQQ9/QsBXMpdVMtpZXhaAOpoWBA1lwzhIgry4injN5/fmqQV1ps5WW5g/6mw8B1c3Wnv5uDffcjUV5s3wudshyqKTMuUL6yptUhXo7HYd+XlvIc2f8ueoVxxPjojLEpI6OFgchjsYo73vhMrAo2Q8HjfypLOvbhLaWLMBV/nVhKXbzwp7d168L580A+fOTwzu7OieMnDuPpPHj64jYuHfJ4GIBjicVqgq4WcxOvWv3mb/7mX/yLfxEXhr/5N/8mfuz5y1/+Mh5Vis+UVEk0TclCsSwd4ah8lEyUKjTmKpUqeI/NSEnZhOXIqWc+WVJgBVc1F6IjqruBkv+Sg2ctS4v+K4QuiimZ/hIfOI9yop7CBGDfxEi9hxGfoLFe1XvzgRv+LegJ/rzIjxchuGXDcAqm9z3eK0Re+MnCnJWb/Gh5hH262ATN1vblK1du3riJ14J9EBEdKFOIQlKm4EzNMSA0NuDLhpMcnZe9yCKoZEsDlhxsuhPBNl3u8HoffnS8KlaHo6OyK24yTGeIhWEDipUhJcWh7eczz2jQzGVhLTrS6eh3R/W9lhUKVVb4u1OWvbDqjLdLqZ4zcvXdC958bMJ/ySzzebjHvo5guezIXQgKakxYYbja6OvfUnpPYnxcMhyAieWMITDZP2cQ1rDc6d2WLo6yPEYUD+CROPi1vAMHBWd7+/Tp07/xm//vrZu3v/GN3711+86tW7ePHjkKuEMHxQHUCOIrWEQS4fbt2//qX/2rz3/+8/jcFV6+ev/999u7KwQ3W9IpcmP81BS9zArykQMqbCYKGobS6y2w2hhLoYBe2yCTjW4GzVLKaS3yjD+JWz9SU2h9VmuAVXfRq41j1zrNMZ2cd2942jCcQqLL7V08qxSfxZL3Cpe8quHdw4larh2vv/HGrVs3r169JmedbJkica48yFKAu6UWCPjKLjz6OX0yUVhJtca96PXmhBZp1azoo2ktwcGt3XpgKnRtCqx1xBZcH7Oeb0fXGZSOV1ZZN0FqgWxmD0pe3rUUAOiGTDN2Q5hLV0AItu64mKkb9T2izOPsS0bW7GOKaRC7RdpHmpcLpRWSHeet8Fm9dKkM3QviBkn5nJdQPR9lWkalYUaS1jrmFSiHQ3+kS3bWg+XAATSTMZ4M21t4Ww+/jYY3+iB8/od+6MSJ42+88forx47t7O6+8soxvBR17JVXyNm/wYIZ7zL+rm503Xchpr0a3Gq6AcRESBqn9v5wImYicUZRKJyVjVODQuEz3ahiQIMNSgptOEMotD4rNJEssnZ7PE05ba1yMvzIWDlktCxpbSq/mab8XuHurv5eoeFgP2J1ouYMx59MFy5cvHnjRvUrChPcerILkfEB0pYzv3zJ32HOV8I07KUZLatdo16s6POW4as4rKDp1tBxJlhoWskicVhB7fS22AohL6lw9UoWSk9vdGRuIwfoIyn9TWBzInyJD8ONiyEtNU0MMWGkr9xi00JAwY0gFGjauxCJ9o6WEfyKKxqMvRqiLnt+v0vae9nJqeCFsE7rq1AivoyR7ddVz8eXR5eGOJz1SAMvRwmj2Arm8xcuvP3WW7/7u79n6wlXFXhdvHApzhZZpu0f3svod6zR4vYNz9Rq1KsVRcqjaOZXCea/CKKETiEVXGyW/mh1TmWqIFCuAoVJcWXQ2n+V92zTaIyvS2kUTjqLt8hBiHB1N99uH7qsUHZTnOZkiAlstlHAx0bqTnXNZqdLkluYoAEZWQti/Jwh3OS9QmHBllm1uWhnD264eze9yY5FS96z038i2Ht4KugbefKXU3rbTg/WkpsqvJQq/ywToy6yXZANYlOI9WTJHrB0W0CRKkVPpkiBpoysveo6ROcoIyVsoxDqTbAXIblQWqztI2YrIy8g+KW2tRca4+LehMLDp1GltGbXv+tJJUJIRyWFqoNsbkZEWAgjUlDwX/RfKC9JzHyMxWDJuFBYEiU+GHvddPwxBZZkZ9h72H86LCFB6RheEfeFSAVZk7QAsgDJmqPv8Xk9UOY/3Jt2WXajblhPpe/Sffksr5QFi7VU6QU+PXXl6lWx4oNW8vEyKQjczr127szZMxAIm1/B+nN/7i/c+WO39Z0HWvuL19mzZ/AheaSWYXLEHqQRHM8nYG/IOoKeyDaytsQEpFBUY8M0Q/9aBGPKfBO5rzTVXIEjkwblIvhZf7JSYEhmrajoEfWIH26NrVIQsBUypj+DFH/OLHmvUAJx1slgyn/p77+jR4/hgb0fvP/+q2fwx4ncPxlB6iv5M+2M5BHyTUneNzDG+gkfCjSBXbIK7VlxoTO5iG8CwymMGGcd2kCEGC9MMZyyCbvwospQmCVB4VD5qEl0WDRRaAyrLL1OWb+ymKINIyG1LKRrBAtRksamCjPJHk31ziGu6UeW2hxlUmmtWikfncwwSYRPuAXRKFrOtkDmsAVtSkw1I/Coj3KAmRFHUTZWti990kVTUkZ/sMWraI9NnXqGWV24PM/6rnXQdUm6ENOTGS2fvBSwTJ6ltSR/CPznRq/ugvhrQVAkFA93WniZ6bOf/eyDBw8+eYqfynl+7NhRvOqEP6SryHyDhU8E42MiMKP05dyqQlJzic8wkhxR6HuX2UyxTtkcu+JDCDTY2thKk5qV1mEXHcnEJNow4lNofdZqCjrgFm0Bm+ea92iSmu0tMZNghya5BrhREAiWyIqmrBylP5vriOS9wvQMUkHQBUq57BaqJBZW4ZWrkL78ZwKeMHfu/r17jx4+OokHN4SNOZmue8MU3JMYOiA3TEhBaHyjRMEtcjRlQIjGKZm5dWPJ1QodUDp1bFpQOmj3pJSDS7U5ykWDISXm8e2nH28dK3XuPI5Ks8nCgIz66nTS0TcxXJBqdG9rSpL5IDf386P1sbybcVsCaaGyZqI7RHHBonixlaaX2l3kaG6ZwmyLiRhYF4F0Bhjqk0U7v3LbXDfdW+98csUemGw8E2xi8v4ImNYuTYUyqRZEyRNnay2jpaX+rXqRRqeoeqbJqucOEvWxXJLAIqb//JykhlpH/JF87tx53G2hBjauKHaqsJcl32D9zu9847e+/u/ywLhHe8TD4P/8X/jJ7k8bts6y5NlMiUNKuRU6EJWKMZWeTfJRoIkCQSjQVKzSUjJ5JXBmI5MJXW+CUOi6rVKCztCS0IOudXV7GSGZzJ1NChUMWSgUda282czeVAUBZNjgQyEYk8k0CQfTHX9e8OWi4D1FlM4CXT2lf3ppx2mEz2NBfo5vkQDIXs3ymxrCQaCsdMXLRefPn7916xZ+GbT9W4e5AdKKGve0UiCLCwUR3SYEDyxcjBQqCtksnZWg+kqZPYbSbIg4MBqSNlKUG+zqQK9KMGuX6MT2w496D8GyeYQQbBruTAZdtkhna6isDKketAwFZp7SU8bkXbF400oNHyESpRuGJGLYfb7z6NFjvIVx5PBh3gr4+ZIGzkuUAJnbunH1dDQ9b9S5aT+ts6k/6ikZwJVdrMNymy56TnodYvmybyXZsEJpVGL1NO3orWiRGohjtImis4mL+mmI3QlKlwAAk+1jmEJmXOtDbkdXlbumKgpVMU3K2wIxQdkBl6hoeP5wKtr6flf6gfEOXyeS4bBnbsngyf/5Buu3f+vr9gSs2Ty//e1v37t39/Ll8JktzoVut2mdhS4c2rA0l2T2ClHrYPHUUyBuoSkadCkFMNk5Q3U3ikoK9N+LUJSzB82Las+4B2YSU6gI2KTA1WtzWpBhAyJZKyySUagc6iaWFy5B2ZZVSUqU/hpJWpTCN2LSLTbu1PA+IYL8Db6MOZaq/uDnp95+++1r167hS4rWjba3po/7MXy2VETZMJCEVzmwSPNkMlJEUGijxblNuvULmhRCTYPOBOgCISnXcOUQiVewF1tHt16891zXuopXmhVz5aEIvZ1NEptAfhUr/aysshcWszlZqHgZ1LYyeBwnjMCLFx988MHTp5/Y5zqsSHgjAq+PfvTRh08eP0mB2/JTHAcPHsK3yiFIKqMuZsOKild1QFY5Yes16bJAqe3uQENQFME2ZpvrXMDSLu5l6RJC77A0imlIPcGrd4I2G4xMcrF8POGSrsjVXApV8MZFKCFDKa6OKMT4iJC4FnmLorvN8XSDvieVo1p9V5OVmRAGAoOWb7DyCIYUcbr+zM/8zC//8i9XTxmVG5y2hxi9VhnQFogW7/OnDiC6zuba2m8zZpQd5xyFAmjFSpjjRlzZQ08S9jYlyVzdr1G4gcd5D7oGwfKbyJKwFFJ03Q6gsyILTKEK2Qt4AcXJjBm/s7MjL0Eap3pBKUx6NhTvq4mywGkb9nks+bTjgnusWGC7Uzfa69ev40ko8jtUlkhL45qI4LqpJJG+rfzWDwkf94gW8ekzZc5aygTBAhBsdp9KdNqpMTfqZ4WUn0J3nVOfA3Hi0l7JaoHXHuXLCou2xRdjVE14/Ca+Hkwrve0r4qT0elXWUVOiZGrjFzbwhYnd3ed4QfTMmVftb+gYhF9q2sq/h4bO7z579vTDDx88/eSpft/inJ0BMaSUrXyyzNcTSIrD2WJuEkrArCoR99pqeaFR4pRht85kpVWXBmZLe19AlLKkcSKI8bYxCVdqoDwSt4jLqyZRGhmxxSifM3enaFPZItRuPpZv6WfVKnVVi8EQ4N7yEZcmaiqo/9JEBTD0+QarrQjurn76p3/6r/yVv4JXtv7lv/yXrUOtYdVrQ9uedp22tmii6cZg+G2i6DwwsQ5nIIXaY30bUCSjkGCcxo/9zNdzegT5KLglH42bGdSG3C4lIE5vRmluLTo1FEZocw55DRKp9rYlTbSyKuERn/gqSOOUqOvYUUZBr78JvavfHhm+HWDuBOngyeoAACAASURBVFeBLTyq7gAe8n7jxg3caYlntgQaFWGRDjYORa9La3LWoSgtNXjRNlcbwMJQNji25lkReNMT9naJof2dZWpiZKiFXkCdIDmxScENcnzx4uDW0m8niH8C4e2F9VkszVClv/T8IooUV7ydl9G6Ywy2pLcEpN9Pnz577/590J07f+HwYazegwpLqnnDSn7wIJ7Ug8fzvPjkk6d3bt+G7dTpUydOdH47SMNsdNA7pY7pWXEmaOshyGnMSjLCug2HOPJuRuRDVSdjfZQ9LIFGWUJbchxhRMzok/vlOScNDR6JqPyJFKuGh7hL5xi51BzypXujAzkCmQJBzLF215FxZRomYLuGNDNCjpxx/D4xH5IK9YqEM/Kv/tW/+rM/+7N/7+/9va9+9atT3UXNgGD75NdDnIJYbTNChFHoQjAPFdjq+q5Qsq8U6uDwEtu+sRoHKSlU3OSjUDl0x7v2mWiDGFsX3ZRd0wRgx8TTXlaBxo61QJSyD4Vu3PauYI0pGCY+hoXPvCM3ex2rzrBudxLBCwnnzp+7e+8uflK9Y7ZrqxoErKKXrneDghIOTVQwD8T0F7vip/CSiS0KhmTXpwFqT23x4MBGLG920XgFsAtPD7Svk5tsfImwd6OaA1gsCja12MyuYymlKJNW+sR+jSNgscR0xtdRaZgFBw8wxAczDh08dPHSpd5nCicpsnEbn/+7fOUyOPGC1s2bNwCI31DDD9ZmF5GYuQrzs62MrlttDU2DPTZyLbpxqbFXt0mdeeVUsT7O95Sz0AduOgEdVnHVvqYP6KDP8pmDcC/VBWEyM1O3G6zpmQU4Ro8mMUWUCoT+OE6XLlYrDFmKMfwALouPbFJt/KXCZTrCqN7chvsEM7R/rxv6r2Dx7uof/aN/hLurNDs6fdFyyc4naMdnM5UV1oYjD48ypeHlUFHYjKmNkkmhWjz4Qs+E2oWMcUbVThu02WkKLUjmbm1RQ7+onJbZbwqVv2FugFzh+HojantVonDAOQ8OJCGviu9ziQsipZexHtWbXRWBDcXYPYhnkD4/gCVzwXuFBauRbW3hFYWPn3yMj9GcefVMBS5sJV2BsLBRIFjDuXEEQbsskre7yE7wWrpLopJPLLlko9ie8XTnk5VRE2kl00F5CVP6a/12uhjo1PVIqH5JvwKYXbRs2UwXMEPo4lh3kh9QOv16+vTp3bt3r165gpc3Ak8UO1HJnEijg5C9iueFvHoGb6Djm60HDx3E96FyChF4L3Lsb5Sr4d4LRTfWBtpMabbQr5xpSc3Rp9sCISPzCknBcdWn8/6eOmJn9hmyTITZgXHkWdrEWZFtH6NsVpWaJtgV7madWTQr9JUwFJH99ygpLO+unCAdC731K/paR6uYstm5eJQO3/WW3mDFU0/Gbvvnfu7n8NrVP/yH//Cf/tN/ypKVuaJwcVJGuXTst7R4yeTjWXhGwCgXrEXE4oZ1t+x0ERz5ZBLEduG4smGdBhqFCoBEFCqHuql+djrVprbNHpvAJj3JSoGm1YJPm94pEGqKpWdU3o2TaDuG7LtK6I1FpuDIY9x1vcfCc97xOlYvWQAaAQWDcl8cz7529v79+w8fflQ9uMEcO/ucpKN0nFQlsyJ1KkwQj7Jj98wzQJhC2Iik1ts6m0gGCInUMxEIlVfTRYSYiNYooB3cev40DQE7nOsYI4eyxQXMgWcB69cYORWSTP5BvKrZr4T28ccfP/jgg6tXrzrgOFjPOomPREkmbBGOL4Nfunz5k08+fuftt/FS1omTozcNi6jcmK5JpI4pbXCyZcpSsgSqNOYrVYJ0WsVQRrutbL6+JYt2Dju5lYrOQ9kzVBxwyeY6aw32XkYEgkmydI1B5H0EiE5VraJbKccg/+MEJ7U5aX1CX825CEF64KoyLClyK/ZCo4o57H7Sa3h6F+K1WQtSvFrmQZ1j6kSysGX9YbMTuFalN1ihTIj/yZ/8yXPnzv2Df/AP/tk/+2dI+tIPvX79iz+IWr33zrtv/vrvLyBAfkTMMlWKsLQQC+gKF/JRKMzGHfaFtUxRTBMoRaQ24IwNIBRUkXfEp5BtE9Kcd7IzVwoVJnFMYLNyW9i0c0fOoTYA50Di8PunUU5t7FoNkSkUHUND2/H87VPk07Zv72hfbOH3CvG9wgPPt56DoCAOJ0GlL4Fwrt26eevI0WMTD27IEYDyxUUFtUjPGw7TqFpFlieDzUgJcxCY0qitaeTF2stqgrLtwoRzMpGdAgy5z+Z1avvxoxfFg8fC2MxzZA/L0CZ8P9tmFCSYJdFrQ4ablQTt4UcfPXz4cMHPbKRedzOYZcJTcPGLmXgK7s2bNy9evDh4BE8sskP26+DW4XGzNBWO89/ALYEN0xjmh1GzBc6XueTpC5t8jHIieLmJgBLiZIVygGU+XkcMDTZvDUKSOteqN6Ax1kpte+YEkmoIYkgpMwhqdE7yy+yla2yZj1dDgjwwAfZAvCBeBCTpUSKUW3KysoW62esBWMrVIm+dJZcyvGkNvXCDBS7PSbq//ce//GO/9K//9a/+yq8C5Y0f++HXXr/49f/z/8E7IT/wp370c//Nj/6ndI8FRPxDoO0zY3mdycjZQ6XSrTIOm33K4E4+CsHo4pTNfdojuLEhtu6xuxKWglsWHC1mBA0AmpgHUS2WrBTosJlgE7z7EpRMcKHBKOIWasG2cU7sLftfsIVpNKKQRyvIa0zzeUqvKppIr/2t2NF8bu8VQuid9uo/Sk0Xne3tK1evvPXWW9euXcdb8wW+ZIOtvPVjlqQbwkewRU4xwGth7JpGNCf2AWyyVtWM8WN58fJtc1CBBmmo7fj2x+8+Pzvm61rGmbPs3bixUi8AejYtRXjxEe6uPnqIH+UYo+6n5czZs6dOn8ZH4PE5Ldz3N9fCqSLvZx7TWEurN0ZpJhhWOlvsGKMk0t/9upEi8pSQbh94oyWX4yn/bFvolgNUYlTqfU1n7G0OraYC7jULcCXMGrsZQlREzuYe3KwuQFn3OnhWgHArxuuJWGT11Y8n5TqNWN092X3d3srfIkwLClL5n//X/+Xzf+a//uGf+OPHz5x6dP/D3/6//o2t82/+xu+/cvqEMwBRQJmQ6xcd29WLGSG+tRLUemp7KocC/SYQGWwZWJOB2sfkQiUFxq4QRsGkN6F1o4bCCta+q8477GpEGVTR4f+Jt/D6mGPtaBCop5AwNC3ZqUFbY/SxBeeVnWB9F4BjA7rRUzBvslIwfdonLX6vUH8TGs8gnb+NiwBYBKT+29vXr79+6+YN3GMVS4yOgviHxULD+9lE5LFcldmaldKinSWxd33GPGJxhGmvylp3tjKvbuKPyN1l3yIM6QZxhnBVWXy9DGv6CP7x4yd4qsKndndlaWAiX7127fHjRzdu3sAPD8jjHr6PNlkHbC3gFV3OLRnrT+VGauntdbwVsHwlxf0+L8LARkKoV03pALNcjIQLzoXlwF1PslkxzYfKYWHbgk+uCsGoon4uXd8iLAv6wa17v/m/f/XYyeNPH3+yu7MTM37y4SO8gIyfVANAgIsufRkjhg0hFCq/iBbl6DYc9lFAGzyit+SiP1KVx0kugS7DUqsKJDGFKsr8h12svBc1fSkRUMAbs0diepl+yUs7HrTh0XqlKegfBITRTlvPoaNAexKGhtqxauPMRcfRwZ3dHXlxyPKonAheC2xXAf2m32P1Po9lefTnvp7mMtMOXLx46Z133rn++ut9gr6226XK1Xywx4ZO4V+Msm4u6ewSn4qaTbJTs1pYTh+vY9LV7Wf6huV4goVclrN4kETEgrpejtZt0xTIunbLCep/zMQoyHjO2oMP3rffLqtMaI7oKk9jB6/5s1m5tc0Tx0/gHx61hadnvXr61eWBBmX+CTZN/pbkpWnCuhc57IKaH4IQbZ+S7LfXa+jyfYC/sBU0S4FQkjVRxVRdyhH9bAjk1FsAtcQngi+UbeKV06/KR8oCtPUJWP8qtCIv5YWb/cFdVwGPBsa9VHV3hXh8TORHfuRHcPJDjmeRydjbv4JJGyAwDgqtz6xG6tD9R1YKFRZZKVQOvaZPkp6trwO6bkij3khMofbQtiN0jY0SGcqT+XXDMf+zn0bXauHKfRD/Y10pN0wOfEdvkzO+SQMK6/Go3xy4dDWxGqzqawc65AFrLwPhxSXsgL+ClRmZwYQQ8GdFnE54meQg7sef46d5anfJA5tx1Ua1yAtZh+XBDefv3b3b8xjp9P07Mfb6n4JadtOMMGf1xjV0i3zWZ4y7/uufvu7Tt4LGHIZ8ofOWmXG5jLhDswgRfKZ70VVl88deb+wKc+xaYdAGzj+kqi+q1Jx37ty5dOlyG2IawGJTxiywqUbZsdfmz2ZNxoBSuHDh4s6zZ/ffuz8baICENf+0lz7KVigXN0eBCik7roBh9ZNEmgVPVjvPhdH7J8gKwALsH2yBZD2QcqLX8r8uO4XLoLE/HV9MJzdWug3SeclqGwqbd2n29RmRY767WjN67J0OQtoV46+8cMtLDz7YaD+k0M9FtUD6tV/7NXOw0ybKUTMBssgELHTYENlzE1oaaihEDuJE5WZygurSGKKaJuwreW3ogMcaACDBywEjmJ5SXnPW7ZXEpTtLSCHblcjY5jnh0YHIYFOSBXbDSZwEtmOxgnKKZmDD4pIBspS802m8jc+8y/OxcMu78r1CO8/xjszHHz+RBzecOdPk0e25TAH1jPsmdIGi6VIRA+6w2aeyEnHQZ3GEhssClrTst0Ayb5wIiNPbEYmpIKzZVWrV8KzZZZtCGE5bbtO0+sAbxGWE8NJu6QnuLzN88skneG6CvOZablUCkSzKZVCnRee2L5U3nt3w6NFDPBEX7xvShCg7jYljApv0pEDTLCNDTLBAWwYrE5p2nZOHuQw2TbWeLQPfYo0d+Qz14xyGIXswoOOIlv/lxJDNNCq+tJ2SgjCV+9Pt8opeDafDJMaqKFmOJKAuezO/D0FjSjwQBc+ym0zhZRqRbZopzsIOU3DLuuOScCuB7f181CtBGVy21qXR85azQ88QALP3koW1dfSWvKa997xS130yFMlqIUyTiRhQuC5oZIjS2QCxx9b6UJMEtkuQPbWM20qg+H4WaUpLGfGcd3k+1gb3WKB58eLsGXtww8OT9RfmFyWwyKmsEkdS+59aFU7VtMVlo7slQSJjmUg6BaiMpLaQbcRIvAUCCHT2aSnyKWmRlk/MagHiUheB1XftMQfu3Ln9+hufaSNHCWyckgVWw2F9N3Y44Gnvhw8fees738HXDO1WRqNkVwW2CbcaMsJkcuWD5VBXxEKN0cfr71BZbt3AIsAb9FwSSGcjQlOidBGIJsfuHI2lY1iriivPdGy4wqNulnPQTQdvYn2p4Jsk9FJjZEGQUbW/gjLV6OaynCiIzK9g5eCtrb/8l/8yvkXyS7/0S2+++WbU71EGn8+AHlKZXM9jbzqjLzCc0o7eKlz21tDFwkdJllB5uyrxyMFegRKOOoU1yXR6NkibnhTMkSktpV3q18kjrR7dDGrYql3FdMAXqXIGcCeFC37U24hNGNPzsfD27eg8zFmW+OqPNwpv3riBb3LFV5SZVA7dgwRW3yQBTFCsIEqxggchFuhQS4/g0GVLGC0TY53lVsY8YEv4jm09e/Li6MjTqm9781mYyQiw0kfkymTNKgGwP/jowzNnzsrfXZ/WpQykSIN3Eu0o4JMhb7zxBl7Hwgdw48NEzHO2j23HhRFnh+4LOr2O2b1UGwUNGSl33VrldGA1CgSXqPlTOLMVfXH1qD5S89G2hpQYNl+Qg11ihHctzvIbO7J+fws6ITfuIsai/6Wn73znO1/60peOHTu2HLqeLsBu/slwI2PsX+oWU8myEVc5DfPAHF2SKNywUNjb/3jNQt4b0s0EAZFZnj8BhRmP5UP+t4OeAcxpmM2cIVbUepz7XcaKp/LZWNRjVDrPtEYc0E8mkSZASlqzqfOgskohxVTaXpMZMEsKMiQaYiy96KyDTwjM+hkJn3nffv4Cr2ON/Iy7Oylhunrt6u1bt/Cbvu42gqn1euOSlMjb/+lEDL6E9QTkGw8bbAifDjSrpRHxjRcayySapmX4r9pOH3jwQB+ClTIpK2FoazGXJwBkjIj+k6C2VlUCWDHw1KvTp09jYfDY5WzZsyVK3c8uhQQuY4S2jYUSVvxuJp4m/+jRoyJSR7DSxKauj7pE+tpoR/jg9TD5eGjc7HOhMb4nS7aqR6rdbHtBootRMdb0th/FbqwnrDFawthDv/Afqc2fzZEgc0eGU/6YxzZy6+jTwtixfF+qpDhrS+SFWFhY+xahB/kR5wDeoZBxWrKp17yrzaklgCMfQ5jBwdwK8bL+x3YwTYooH058qT7cbAcgIOkVTI+KK9M4PYvcaEhWNSfZ1hmny5B4mccs9gYVkqLo1o0ldRLY9ig5diOjw0hmoCUBcGpiiJEmagwl1nis3tFjsbwiKrrq87HkN6EXvI5V54JJfO369Vu3bl67em3iNLQSxGAEshwhmSBG7yDPewTnKCJQ0xDaFsQ0rT4ibCyzp0AwOWoM9tjW9l381rOvAsNiMtHpXFsCZl+vDMnA9QirSKdADFcBj/U/f/48VyyL1UVomHgJkAbDOmEZGSn7V/s37VSAXk+vXb+GeyxEnDjJ5/WkeEnS/0sqBZL1UTLQBjAntx7nVEBK1Uc/uhpUC8gQOrc+NO1RqHIgNfSrthgImc1pEGHnhMuXsIXR09jfJ1arz2YVybWdLEb/BgshiD/32Sv/1entO3/wzsP7Dzoga/Oa9Z+d6YaQcbLUSS+pZnx08dKFyCFs9stLUFoEqaNO0wTk62WFWzUdbJMjy0ChQjEu5lNZ96dpVQBHN4lObzuqyUyW+HsSxaWJORGBwpAQg4hfZh48p2EYVRqkEPNMZUx6dgOedLo6dAt/3F+8cPHGjXfwiCwrhGHHHKJMZii7g0aHaQEng8/xwpGYFGjWNGZeyqLzCoHd8/6T2gQpqqvMlxFkebG9g/fa2CwEjy2U0w1FSnc88IzAXrWoi2CjLKIPHnx19Hz9hqYt5XqJ9CmoKxaIpAeZT6XcRHZswBEbm5FzIKsveirHwHHh/IXbd+4A6ZVXjsdIXSflkShZKaetBGdNELMySG6XAgfO4NGK2rMUiIN31DRJb8o2VjXJJ0+lgd9ALdjeU0KZb5FDCKebJxtskyID4YXY2DSNRXd4tZqm19krY1qFR+bJgkXH72F5bXH3ryty1mh1kcLwBgs/L3rl828ceHLqlTOnnnzw0X/82jf3lMCS3k4MeD2XFuaS5pJ5S7d9XqZ0hBGlKH4Oz7LA3ZW8gtVsUzk2ziMF2JlJ9DFwUlBY1HsDjXDTspVg5ENuCuJZNDR0LWvki2Xo4jhdvRS4PoJNynhXdndXbpgnvcQ49hhbJkEX3mPZaIAj3t/g8y542OO9e3fPn78wSVIbN8w1nR36McG65rkyI/Csz1Kd2EzbZ0Q68irrgH7MyZg0cT0+sFV/Fy/nYHDdqQcnGxLzFk+Sp2uTrSdRn5FnpV7G+I6RfsIppKULmLU1BRkaScWvjjmnGUZ17JGO45RKPym1JR+XwmYpbF26dAk/XHjx0mF8THAcLlmaVQrl8pR/tiX3MjD9GSzDFdGqErAZO0tlpuhI5sUK1x5aeZssKQcZCi9KMV3q0FF7WV6daGVO91gmA2ohGqtnPZUuxHoq2zSUMto9/rRjJ/NPT/XdS431RAp6g9VLBa/gHHvt5Jf++I8+efDo3/0f//rS59+48623pqqDqgPH9q1fj6L16k2SEaJGc45QULUlAhFdFea0U9Ed9DjcIWJpyg2Gzr/5YvTx+9qGY4mCIwLnFrbVZMwpW/YSadaT52E7jhYb9yX2/rVwD/38uT0yVwZnD2O7SU52j4WZaM9uQIdHtWhzO378OL60//777589u/bHXiTVligqW2saDHsvtTUL5D5tAMdW1cKbKY3FVHaB0EuqhebI53iKe3+WWvckD710mhPCHcGPGauUfBllT0rzdIsZw01kOU3wU4CnX33VB03pnYNgVGDBEw/DoXlaoHO8+ZDug91qkOMNvPoKM0nxjcKbN/GZ90uDXy3MOJBSziVp4VE11FO4tAZuTGdtoXNb5+jBirM0CDjM1sZVNbKzUhtQgitQiwYL1UmsVZEpm6ACoBhMUgspdOjdmdrS2c3jI+eSBNr4R1UIZILGpfu8iJo1phFCa5FQteEPS1vO1BV/MBzycaz7t7u7a0V/5dUTn/3yF559/GzmBivUvsYKc6Q0zQ+KjjvitVtlMFqcD9VCIKbGeaRoPfX0aNUZYNghdWEkhRxp0tBQO860p2ersQy5omG6Q9NZWBJAoxD9eR5GuuiwJ5msilL0ouJDUzWVek/s3WBLokhFnkGK39LBM0jTc95XJYFbK3w0B599bh7c0OVPSiaQhEBJkUIfKD3uqm+c1abrKcuBgMhHOQnetmMKniUpHHhJjUwH5Xs8snok9lwOY5L56dywbbCljJ1gEiFdxvRcQbqWsXV2e+vZzs7Ma0IB25a+VRdyXc9tUUcCz70mQEpbgO+L8KPh8uUreB0LnxRsn9dFn0JgbCoCoLTgeUTcXT0jlxsQwVc1s25aSjgTgZaPoTDJin4ivEfPaBkgqVmuW8c9GWVokmhpSGWYUIwr0cK0LQ0xZEZWHimEFkMRA/U0bLRKypNUI2voxGT8d90YF4wFyfhbhE3/cIP15P2Hz771NkDwKcWnHz3Gl8Y3fFCWFHVQWD/fZWRDDvC2lo2y7MN4L+hXx2WQQccTqdj7g8ihG9VVdoCW+nVCRZVKEITKcRH+IqcKuGlaJZhQtBOfQrTuSTZEjoLRK6KIdmUMrEGcpCXgpFffaLFxX/lZEm0q8uwGPH9U7rE6bz1XIFUTz0zBb8Ph/aMjR4+ISXovW9GRkrJIw/0tavleVveCYxBq+NlZyPXK4JdDy2YQ3VEvJa5C040Uzl/LAN9S2dnSt4aZAIUqVJqa8qIOt8HEtXrpPl0waXIGoQoIVim9ugXtItEWRfbXYmwltX1EUef2T9ElAxxhkowVEk8fxfNE8ONO82uzlcKoUpntbsJO4g5+X+W1mmes4p0UKWArws1U+VdND09zpLKOmySSMSqJGk1lz7Ol8Sz54lwqLWjZNGig0xoiL8akEBw1P2knncXqOuteDX6lcL90Mfdm5VU3bV5wIqYxqr36bXPu274HtL7Wl5V49dVXX3/99c8eOn/91pFrNw9feHvrZ7/yP/6tv/W3TpyovzzS6wKw8j9UWv/lZxnY13Sxl6cbeDzexIkbW5gZOjnK/DxqdDTvnASnjAeQl4JbiuMK1orMmgVYrwF6y4BC9CIIhWit5W4GUC7Z4GYZ6Gh1IgzHKFqz9aHVL9IYaICu0YwbWMETa8Hmn6oGTs3Ry9R8Kk9LJu57oX0dnkGKwM6zG6Ad/XOkq1evvvvuHTwNWBTuLCsi/7ln5wgfbFVPOn5R5bi66qb1sqiIOyADGQ1tpoSIo8QpmMqFwkSsz9IaOaUhK4Zk8uL09uOPXpxeyOduE7zuko7dNIRXRwU7yIpWxfWaePzByZOnepahDtc/bLKQyqNiXuBPYmxoWkBcTk3WpbTNxzV1MYe8NOD9wctXrty6eRMJuFKF3HS1lSIWJMrutfCoV4Q5X8uhysRKINQYJeY8B0W7BabYNeHh7oq1WtQLpc6eyHll2tZjTRnMsqXeoAZyluiZInudquVevv+pnxZQVuFOsfOHhNsB1XUbQIqV+IyeSWhOicM9h5RlykU/GAOf79bmr2CV/BiGv//3/z5Wc3uL3QQo8cn30lFaPmRp7PjraDBJx3RSpoE0jQTtzzZZOAxN/sp6xcdACpXDsLk2QOeRFIJChCYahWjtyytcSwDPAAMmGC2Oalp1idJrzcRUZstDcSAWRm0Umh5d0i3160EgVtcLwVC5zENDDN/2FUadd2VmswnG61iHdnZlwdLzIjlaKpYHVDHKZSw6V65evXXr1rVrUw9uIHNHAKMMvSN2PKDyqhSTRE5fnN5ywDYN0MLOMLYBrtEcbFlJ1MmiSzHkGeTtk9sf3Xh+yeHWHA2Z5TKhqInQp1LUaWiBGLuMFm8B48PjfV8rQVpfs4vSyp+iWQVJ3cpyFfZho+ry0I8GOQkOHz702muv4XUsvFcIZp8ha6cIMJeeUqSnYIURyjgQJkcNA0yYMFWebTPHhrTzJGm6n/2Ro1vhj43NlqXVFM6BuvLsZZJ54bxmclaBmrTwFfoqAaEQFVYT9FYTxbU4hfpp08ZETaqSF4toURH9K1m46JqI1YXKKgDN6NZaN9PkG6wzZ888fpweIvcrv/IrE3B4r/CV48fxh5Pk6kMu97qeux8nMJaY0N+MlCUNZS0Kp4Bqo1hFBfsCcWGwpWIXL0ONgZQpLGBWl9UBPkMQ6DkVXA7IcepaC+XShkMnf6UfjUwYVBWHfgvIl8SaD6anfgIqX43ieV7lP8tsJe4XchSMPLBtb+3gQyvP8YGsbbwPnXyZymQeiLt08dKNd27gkY9exMmAhB4O9kMCFmR1SRUkjqdChUfrepq8XbfumC/ARZzXRRZ9GAKx1jcVec0lgfAHtw4aaFrkaegL4NCNXBxgE9jsh5dacyZUaWxbeCUKFdZ7BbthgEuqjCLZ+hqK00KYxq57ijFzCewidPqog97piCWzfeyVV/DZ/A8+eF8eQG9bx7lLFpXetYlYMzUORTcba+TYN7nKxJpWuk4BB7TRc5O0pWKcK0URZjNxaoQXgYNMs9q9EYgNekkioGlLhzLt1K7xvrJoAzudVt4ojzbxSx1aRLB7NTYbRz9zfDHRXJLXRKy6Dbg1esrWJqEavcESzhd/7s//hW+/+aa9wmxl9GLWoecvXMjnUm18Ke1YICOghkIknhi76JbkEgLzRl4XjUqrK2+hogkQ3t0iaAAAIABJREFU3kzTbPUgeHwns1al0yNHZMldTdPq3b6HYwQteynnWpwt6hndp1iX+vUwEIuKYLRsxG1fORo+/tDH+ygT39kvohbkJNTt60ET40PMbfvM+64839q+r1dws8EAarYO48EN5/Dghnv6OMqOQ3YVybNJdRH/PEwWPYtRIKp3p9uFU68hmeAEkZPLl2N38wxqvdvtmM8u9y/t3ZZ+hTDFlw7d+eIZ+LEI2aTXfu1pY/XqpDshwVt7KJA+EgHc6X2Zgn1tw6vcK/gaLGberYkjnTp1Cj888OzEs/TjTpPOHjQ4aqxVxjvhngY7DW5Wpu2hq46dolWAVSYxpcpzITERVobXJVpI5245HLzYmIY7TBwlVrO1wdLoFecmr5sIrAs+B8PLM6mFPSBGuepCNOn6WAQKzHirbB6eArSCdfAhlMhKi08A/NE/9sXSbstQqXs5rSp1JenplrEPI0cGq41OGIxZ/aq7Ry2afu7cy3TKFvzjSFUhcXqEiH0VQWkDr3mYWBOUae01qz5HzZmziuzGbZqor6LxCMTd5/jGvm7RbyF3BaelAUy9Hi6qhNDvHjx0cHcXTyCdvMeqWKWJBzc81Qc3nDl7Nq2PkoSNWewYfD2bSt1BXaPyhbUfYxUZ1CWdQbW1j9TTrurJi0O2tqWJY3g23oazBm3Ryd9JGesJNpko0ms46P+KxnUGH73A8osbq0783lQ2QyQBEG/QhcUhly5ftjcK95Zvig6pbnR+Lk67yFYGSK4Bgd3tywGXezp2cdTwzcfLsKwjBe5cYzbtEjOVSKNYLksbTNTMsSb7cn9QwNn2NZHcyfTGjknoos2WhOvJaBqJLjXRc0I2VED1VpPtQ0gXG+Lf/E//8Xe+8Q3WaAIRnxX401/5by1q7Oa84gHZl5ZxwD5bqu5aOlrFTiXcGSZdi/aeiyP2kSwbs7WeraaP0mg3DjQkGSaDCPulmGmMm5yWKMhBEAoxPGQV1T2ZiG7EdH2+8zycUDRwerrGjsggbhWgN/044RpNhZyeQYpfLOzMyMJTUrSK6B63Vvfv3cMb+ieOn5ARs/BeKhVK3SwXzdo60QaXrhSdRSAlM5mN+HRHeIKyMi0J395Jv7Uak1G513HpkCVfUS1rIlwQyk3IcN/E94JLK1u4wWpjad27YMNkFJ0hW0owVXPAymurd+/i/Y0+ntKvZ49j1wdepq2Sr5qKsWTqLiPbo1dZpV6q0wScxhtPaQuM4cQcU8e0OZ+jchzasXC6QiCICWwWYXK7lGYLYyuHolk2GCtqWW7ljZHo4ktw1lYO0Zly/gzWv/23/+ajDz+E4cChg6cvnP3g1j06VQJ+Iu1zP/iDly5dDqtkPQlK7iLRCm3fm5JKS+gaP+4XbYOXJiWywJZeRG3ImqjGY78V6X00zamPvafLi3R16WZzpZox1iQIhSFo5VHBDcNKA6J0k0GDEDGjnLzsMDQUXssa6RmkePvSpizzoJBw/Hxy8nPnz994553DeMvwiD64YRld7QXSNF1ri7etrG1xJR/NpTV56MzRezLjFs0xGYSjiW2Ig75tjd4S7iwQkWhKxtqty3fdcSz6szdSAbcIRzqHDh0O1pci+mVJ0nd5FdGw1IbyyiuvPHr48PHjx3iRtYObKYu+dzxfikqTz7N9pi+DFPaUOeourPMnXUW+WaoKsmSe55oEXguM4V23EFGJHG09WcRITeWZm6BQP9MU/puyJ/CV4bKoSC6WUMrcl+AEKQfNN7Q7Yn5RendH3kA5ePjQlS985r/7n3769KXXOu6qQsnwIV0VdcLIIidDEf+NYpfoF6RdkkViS2UJzWqfkobhMgoh5TQpzVmmFR1fspBzqBLVpqRh+lEa4rF/m2WTcwrIRlTRVU1xh2riXwBMzpWGTSTBPCiY1fHT9E1Aru3TEzcKkSPqB7LNGd3LPdZzvFeoJxTzoDAAgBrf27pz+za/lj92nLT4B6tDjaI/SoHN9lFPecJEn7WCDVI1VACpkkFziv3o9s4n6RWsTgIeLCxJxmcD4qIuy1yxoSkfRccieeAAHmqGPTaVZW+xBrVgn9YF88TaixvlBVHsiBZH1/8lUaWPfh0JsTr9SlMqBZTzm7JXbnj56v79e7ymVlZvLoJ35309pqpvjLmnzGVyWQJ7TWOj/NNZZeMeEBYms9AtAJuIXtuGJiaGbY2XKkDRY0F4V98H6Wp7sNERWcUmZCNl5mJtfPLZMjqL8IeT4yaCI68c/cGvfPHVy+euf/EH7/7Hd46fPZ0WsRdbR08ce/M3fv/Zx/KkBgP02H07WhJ5Fmdp3yimgVBoqWyxoVlXX+3uVvsXwS+v4fRkEAUSbfR02GeBXK0AJktjPpnggQm8eS3lBVwdOxurAFtURPTRFmvCfkTlQrnFlIQCVelg/XTdzsFDh3Z3t3A1n3svqcoGz3h8++233njjM5V+0LSEirTg2Uz4QfTLVUtWXg87emsBb90lDXl1+6MHz09Po2DlximP36yAGx4hhTU037Bu93+NNKZj4DLxwkhHh2mZ4U+ePD5z5kx0Ro+4xS64rEct2GbsHHS7tLDZJe0nk9glwrMS+eqVq/jAOx7bJo25zZAZHonmQtVu1zxOnEUx/7k6WZW/q7XK08zvaLJm7bDI0G922sl9nrFJSbQgi9IoSweQJVG8wUqT/MmHj37tf/u/P/fjf/SDm3d3n+5859/9e0sFt1xf+B/+xM1vvmk3WGurMfLXImWjdKFSZeMyaU/hstrqwyBTNZyyarr60zhKf9bQ76n/ow4BFFs1OMyqFfo49Oub1/TTEiIOkOVcU4KCpWhoDyoNISDMvl8WnStZE0q1N4p1Jz+e3SD3WLjArxltnOFXrlx95+23rr/+hiaUMgjJRY0nFswvQ4wl1rrUJNHBbZs/NhYIAGzvM45t7byb/4AUHpzd2JwxH+UBM7idkgmw6m2+hIBgA+31K7N0JR2e7adPn8EaQZZD2TxTnC7DjNIuElKWcLmwTCwSmUwkY6bIjkcn4jedHjz44NVXi1vGbh5V+IioyidD6cliVsRGt+zzh0CK9dsgXftbblS8DQBffohPNjsfJfU1657kt9ZfT3+jdXKBQQKbsAu/xKX8x8nwBkvIbHv65BPcSH3mx374/lt3rr56EiB4/RsvZfFmyx07R86UVqi9dT7orrR0VKXDZi0mlMInaCZMm3GPonJOpMyq+Ty7sETqWqeUoMaG+CaHvMIuQl/kNMgkcltC5lhh5maW1DHG1xQ4JeR0Gp8McyetJ5RIIrXK2MmFquZd2E73WPhd6qlnN1RgL/DF+NfOnb937+758/hwccvdaiqEsqkXWqhWhgmIVEfDvUwCshwHnqmuArZ68/sMxcAwy63qTn45SvEw9FjKhtDMe+gxNFg3Z/OvGFgf/EJGWq+HDDOGhQlUKDkfXi00D0OrnCea9LcKnD59Gj8FferU6alqBzgmb/OHFsJSoCkK0Rrl6LNEztVY4r2fPnvJGnnY3N+XhGwAN4SaWV17qHE1Rri5RGUvaKCTaH8TxJDKunZhu8oBQUcdw7vdP4QcyjQE5fCxI2/+5v/38N4HBnno6OFLP/R6Bc+hoAAHQtUC2xVK1YxYlWlJ08ILECf24xKYl+CTcwqJBPElUHYhOxVyP2ZDwS2948gJBKs28wcaBYYXFEWDLo0w9SoUlntcced+m9b+HCRw5HXZj3TKwsTdW3YaSnaPhVdRcRtYOo3GTdzkwQ1Pn7733v3XXjtXRkmrAmodCg3uQedCdKByPsQXwa7TcwgFY2gY1GwCjMCKho1NF+QeGmN9YPvwwgu8BQIKH6yCvDwBZ0xH5t/VQ8laVQ54DpZpiDDyrAKr5kR4LBPBKSQc3mbJSNbGiqvbZAL4CtTt27en3yhkShYle58/InYJJpUM2XgEE7xOqg0qwB5Npvm9bGQJN0lyg4pFmhzuZ3XWRL+unIbc8/dj13eRcv0cYraevvB0XsFaRB9OgLovdXshnrrNxlq3bSLXzvZS/Z5u52vIRbkzJ0QXwxLQgjiDWSDM+DZmywDqOhX3tDyWZ7N6netCc7woeD4ZXwI1WF8FoX21ML4w4AR4jiuZXEQtD2LHpH0W0fjpCZKVPOcdvyiHG53itRbLMOUZ07Xszp45gw8XP370yH4ttH2/bHknAB6qA9EUuazKbinYvsZOAbV6advC4U10LFhy2xvSMiwM6OgWCr4vtvyxZ8uYQWKMC/NnaSI8Yg3ErNE0Ie/syFuE3DZAYKwJUio5j/Q/VRlm5dZt2nXCEfK4d527SnBhFmNocN9v33IVNN1iGlF2uxypX1XDFmE6vE2JvHwlexohMpqcEbRtFJWyjWImrel7QrPHBXmDPvBWRWaxlCcoBnCzVR7EDdUEXDYJZPXwc4UCwNMN1uZjzDyGmS42WE8sFcB2O2Z03pPF0IscZSz7yEyFQgS0GMlsFB+95+RFBZ0oEuMpzDGGJW3edezhOemFqrzNZSoisDGA6g/BwHlGbTmluYTXNOSJ2bJN5wAr3KZ9ZognzZ5VmQlLJi+y4R5LT9lJnMJ47tz5d+TBDYeOHDmqN4lLP3kdswEium091xKYuLoUCNiggnICIlD3EFABW6qwx3NiVw3IAeHH7+SsCsrreKhAKrJkFjZM0unSJIRlK8Khw4fbRAXBXk41rMAuoiYUs+J5k9y1PVzSKrSmKSBA8BvbeM1ofF1RpnTp8qWbN25eu35NcnCXVUeLAuoew/nOY8SJ8igr+myWQwwHBZuQOXBQRn03k+gcY7vO+6/kxNp/6HlEn3hpVfDmfOC+eZTDI6uyQPv57zSjxNINVgniQeF48Mihw8eO3v7W20mHgCpm+Ry0+YLwKsQACUuhZgpp1WKOqS3zbZROvqfdc6Syb+6FbKgjE+KxuOmVstN/ulFYyrc6oATmuW7qiOayTzVvlwCLWusuC3YV4nQyXptbnoMf/do9m4UHzDqOHPJVRaBKuLLVQ7DnY+FFrFWfecfvQN+4eePK5Su4Q4szx2oxGrpRNtBbYC/BeZ3BdhEkE1kwdeACks2c+KJUNzxE1JWl6eDW8x3ArelDzMZ4cxfq5ZQ8M4KtF7PTeWdnpw+kvDppJSPLRzwhaSNr+vEeIxUf1moQmkKs6zJc+f5TZ0bapWhJrk5p++ixo0+ePMHzseA0W4RRGuzjDIL20TpqUBYoe60cTNKHEc2k3qIMfC0CUxKBfzNM0lXGyLi2C2SvMP+wNf2qIiWUWxypQzghXmJ3yoqvJe2/Rbj7bOfC566evqg/3rm9hV/1OHPl/O/94q/jS8z42Sl+YqDoVTULYEtlKLykQU8KhUtfW7hs2GCpKEQgTTeM2cvLI7JaKoOEJIW1aSSotWEhJ1nIjLhNqwPbUen8D4hrxTAKHopU4hZJ/eoXdavLFsGXy5YViKVSJf/8h5mmaXCPJd8rXHWPhS8VXr7yzo133sCXCjUduS76klCkN83tVu3Y0lfCPKg8+kMQCi1GDC9K4Xt740+cm7/lPHNlLaBT48T2J49fyHU9TYR2JsPkd+Yphs4eZPqNcyBsmhndHNTpqD0t1hywt/mEg3JruEgb1EGwsKU+BFnFpTtJSbLQ2yydUJbYXDx+MfPGjRu470/x1gVpzEX27FZGFCECaEuTm0uJnBuXcck3XZEPiGxvnSCv5p1a0cHcFu4LtIUx6lZlleoWEEwTFC9f3GgkbD3TOth81An58pKdrfjkWPoNFr6lfDCvdh/cvId/Mee3v/Ef0MQb6l/5yle+9rWvyfJouByWmAdlChEry9E8mWYOmZCYEGC7aKSjkNGgsn9ZtU+SVQjgEzl1ElrOXgYvvbBbWmQJICJaMyhdxYCXJHhaUqxIH+WXRN3CdkcsXh2YFYUMAhWu4H73l/XLJfs8Fl5VbZ+P5WXKYKDDP7x2deXKFVzVrl+/Ljb90Hp2Wi8h/34VDMr6LXcqWOw8KTuqSW6kZEXcSxl0Ikwl0enVye2Pbj2/mAx6IyW3J1KikEkQOxClKk3GlWkUGCiIZkIoA8MeTz8XTyum1a2ITA0JlE64Z1IvPhg+MCbeuLQMlUfcLcQLZUctZP7EyTQ9/iB/8ODBq6++am6p79M5tIielWRU9sJbbcxQQwQp5qr40lknvKj8f2E0l9KxzERHkA5rUyixpNUiKEMnE5IiijKdqWkpKo2FVMpNmnkkNolGJwiAsUD+UgqqNoPcIGqycIek0urxp/7kn/qt3/q6f7F5GPS1r/365cuXL1y80BnAmeSGmBo3bQ3QaXngxKDJEOKepkJYzFRETTdkaNUDS4EvRymCdBQmoIjT8VkSX4VZkUxZhVfNGCimCXN0HcnT4b5ept5GZ5f9OCLYLz14QpEsIVHoIOLeoh7NVbwASV1cFRac7XuF2zgt9TPvrAqF4JvEI4ePvPbaWX9ww5qBHIAmtfZELir+n/DBpnqsa7a1+VAzdV2n00jQJGQZnV5AZehkO7z1Iv/wZDohBUJyUIcNd1PfUh1Delbw0CT04MsENEePHdMRzn/iDrEsewPctCcoIeqQrkdpAC0z2RvqBLaOwAG9vbDbndY3dxiPbLjxzo3Tp1+txi014TiIThbPpvUyhP2YVPmmbVh2q5bWCqJRcypKDt2OdOHKnrA135Fc1IxrOt1LBl6t7DArMQF4CsRswKSP5bMAY59dbCwseZ+ZS7qyz2m0cPoKllblC3/kj3z+R36k9Wg1+JAE51Zrdc2q7lUja8M0WMzWzKLlScyv3TL/5HLryXlH9WhEul/OWSAUjVUYTMiECDSDM2EG1oQ1cgxkXcIFQ5AqqAWr+AB1AzW5NRF7FJbBJAsdvMtZYcOd2+vpEbvkLq0aOjJCsM9jbeNnWhY/H+v48RNPnz177733XjsXfvBqzZDaImV76bTmh508hhevduMF7PUbZsH8VWQSFstOQpCbPJ9cCIn1UoTRFwhtJu4ljRkEL5RklLLy2V52TRec5PTKK8d3nu0cOXq0dBm32N+FPYEbN8Sm940FZcm6x9Ao2CVAZ4i8eFCe48xPIvAj0O/LVGyfIZKKZclpYTUw7yJhX7bhgG0PHXFkKSZk/K/Ty9RCgATTIGpqwuYxcmQO5hhNy2UDsYHKgDE+3RaLig6ej+jom/thqiJZenUEQmiHOw5dVYSPCHBmsxsIZYwd+azV8+ZEJ6fmwHqtxdqzv95geRnw/sKmgA6xPF5mAaKswlW4N1fWxcOWJ5E9MRi4cdRs0l1Ui2YnWavPKBtIJdzwLyHWiQK5iECBpixM2bIXJbAsirBsGBZiOHZBR7/9FVoGXyBlTcKLHkaHA747js8R2uOOFubQgi8MpBumDcs5qtc0S/o81ovwmffpgK0t/PTK/fv3H/mDGyQZhDAPT87WINu7Lh2xTsXPm5tWyznHXQGFZhqKJo3gUorNjRS5DYrNMgx99Q8/VAZtSmydA1T2rxfQ6HRiJa3k4HPMzhrRzG3pMqDLIKI//uSTFTdYBLeeSF/IKYOZGlDaMputGklfidNGWo2Ju1RguE2h1Cyj8SF3vJ565uyZfF+e8qnvWvYyu5TapkvoXplJv4W+23SwctklqahYC9hqFDur6+nVp260idaqSUiHLZJqYqlwEJ3jiPVwOswInD/tWaKRUq+A2oWnsnLW0LyjW1b1JAPpWaZ0nI0sJzVTYftqm1qGxkSryuIneQWXZgGgNqnewgwqTmtWfBFKZdlFZRdkE+UsKC8n/FOKNIylQFMtzHvUEW27PpVHNdsPrpY9a8CbKLpMlhaTo09auYFTPjkTdww7uzsHt9b9IZGTyInNSEyJfhhbZMUMqa+FgcfOoYMHd3aR//LXsc6dO4d3Z/DTJUf1pRGsMrI913fZLD/lwqKz/CEI+7NCdZcEn/y5IEjPBzJXxSTs86hko8Wi/VweglXrMzIkNaIe8z2CE7ESpIyko7dDXfDMNBTm8OEjz57Jb7yu3JRak9OOIBpJ5cwEjWlOQ5vbprdZ5NRShbpLjeT/ixcvvf/e++fOn5/MwjPfOA1w2ajYkLV9L4bSXFOJUqMNmcx4bMx5eK/GvrBUicWYMPsmIRqjF8PgV/TMCyOIelYqtMwzA4l281GH/o7Odp6w2fceaBkVQVp5EO15qxmVFrQV5RihLtIvucFi7xpEGXvLNXaWbh440xl3Y1wjzHuUIZYNdVV41aTbfgoTHBPJ4ZRgRRdlM6IBysg0iStLGy9dESHKkwh7MzY08o6engyWWUY3z8Y/O3QlrBC6lHWNQyVYRgUdDWYvMX0dq2cYEpeGXbvH2pq5x5IO+n+Xr1y+efMmPjQpD27QTV6mRUU3eYuvzGbjlt9IpRFlQeR6wMYCdPOt54UEHsAjtPAprAVbumIIiMDJ4ptTcCk5jeDUzRFGTtN6fIvw0cOHyu6kVQDwsSUjfVSwXdLZfKRDhTLXzEVYjiDTzYsmM0w4RAdlBsEt/v17xbemplJxEOJOOXdtyq1ZiFnyMMyYUzewqww97NrHylyPmlnP0KzMUgOWyyhFbcyLFDmPclzaYJmEttwpbyZ3anGosqiaLahqxMum58BhWs3OW3rmTGYKIxAys9JVT0eBs3rFGS5d7Q1WmypzA1dpzZUu9bNJTTosxNK0rOyyj1FRnqTaJ2PL5zWrMwNh6xyzGFqHhhi9QLbrG9CsdGWEVTFR9RxK941bbWesYLz45gFNJ0QbsZRcuyqvHqUAY1oaLX5lbgQSk4OKXDZUU+7EeW9FxT3WoZ1d/CQxFjm95uLs1poZkWYjO3tRSpX4kvw7b7/9xmc+Yy5qTG8cUbOZMH/diaXG1LIAHwkrnSxPxbm7MheJrWt6ZHvnqf6ZOsSSqumSYaGSiuS6eSapC3UmwwRKA96zxluEYNe8PDFNKDkuLVEq6vxcLBOILStCb1wku1Ru4TGuXs1U530xt63jJ048efz4lePHI9eUzC7PzzPApNw0qcQYMsM5km8Dp0i7NstkYwS7ZUG4bikrOQtSnl3OntL9N5xlYX7r2AAuIbHU7uJMnSxYVWBQ7vh1VYKb6mB2KSqkii9eBjxJc4l7MiypR8UgnNpr6CUhG51QB4LPCtNFsL9ksfYJo2IV/VcN9PwX6VrPaF0qE5pCjASHnhxpH03qbyXZqDABa8VcYZYQfJPRsX+uYcE2yixyUCb0AkFGRv6XeZOSYxTOa0s9dIDGQph1KLzbhsbLhS7+MzcvWE7OfSQ5pghnNLUnLfwKDQCXgHhWU4Np+RVd8tRXJLTSFfMT3zKTbff5U5zQz3Ze4Jn0+J6cfOr8AB6wkv5JA2/3Fd9BgebK1Wt4yHvklF4sqUiMEZldFQGbjB+UNssgWgXpBhr+E0dE1ZuCbJJKAFJYTcWUJ7cfP3xxKjlAn2ZZYJHctS+2TwkjIvgEgsVinclcoNWLe61pSqlfrjlAs69No4OqY4V5J5ubtWgsnWtHR3VEJorw4gU+FPje+++PnKf0mooOonn5gObEoE+5yWzsbFxR2JeO04zK0oBTwVsHpXJFHwRaLVLpJCRUtUaYb3sX14J4blYtzWqebOiB3iQbOhv7O4wwA6LyPwMxgAxjhSr2MSjICul5+PIzk0Btlmxsg8VTYYq198o2XsECFO/umeoSmFXOCbAbE2d95aBN01WWnOHQkF1mJEyQ/AHMCd+KyZvpGLsxAVKYHKJQLm8g8TSAmCM5TERtRmU277MUiDMy8tLkbJ/zKJ3LVo4upEVORUSnEUGqgaJJBDY6GNKlvW6T+FgBwyKodOqP0x/3SaR+fvDA4Z3d3QPbzYv1dCkE/H7O2bNn7969e+HChWwoMika2aeW4nyDTZYlWZLkoNtCmBKWIKV6ZUsSkeFBCse2Pr67dSbFe2oL4BCeurPAeewijDZRYjlUowxhkmWHgwfKzwV6Ycc0c5bU8UQ5590mLLk5Rvd1hjnIZE+TA6ODPwTwkOqVX6WyxAzLph/uDLSZi7cwE7hpjMxYl5eH0lOLks5Tlijl5KdCKhxjasGKkmbsnHMd7G1WVhQNCMC1l7lMyT8rcpQ4NwjOM3dkoPZnCU7quKVdBqipTSYmHfIp1all6DbYpoqTKES3InKxE0YibD1h71rvoBkxtG8RhqC9iWXf05JjebDXJlSeq2itHKtCWmeppCaRjntJqEXPmk1xZUWwpR9YEWS01kSfTL9HqQuKNU/HNBtN0r3svLR7It8YRHPL1JKQ/OWWNeskBG6cSmDCJ83t7lN0TFH/pIw3UiGiFvGZd7xXuHtQ3iusbUU7WU+cOLmzs4vvFeInCwv7qD8y5UpHaffmW0pgb3VRECyM5WJbJRCall7itEQ9VK4r+WY0xMyKimPdEfy6/7Px7mBpoTexOwbuLs3RClCc3ZsnENGtF7OjM9nZlMksSOStZQzP+QsX8HVCfODdh6r2sZv1tE9GT8yO3ip9GpxpxeaF9T8wMDkyyOZlIUg5Vaazb6yWCSDUQkwKTUBHkZ0VJzc7vmMVwyoQPZtiH+nYYtFkHWKz9Rxqqpjpc9lowomXJ5oP8ZJMODFjVlD+/9y9WbclyXUeds6d7626Nc9ToxskOIkUSXEA1IC0sMRBEm2/2Q+2f4D9W7wkP3hZFrX0ItvLfrFsYC1ySQQtihT0SAAUBDZAEADZ3TVXdXVV3ao7nXvv8bf3jtgxZERk5HCqIGedyhMZsfe3v71jyLiZeSL7jUQ+SDaN+pYqFwkY04/mZJWrC5KOlbWFleHGnCiSfqKs36HU4hrX2zW5LiVyXvCkpg3LdpARJXwHmBZ1Y55UGXo8XdH4kZ9va9N4aQJMwMz/ML9hHKHtGyh6i9qUO3tyd0/3TIwuStHm3eCLRoYi9oR+V3h8InfpvL7l11jgKa2mPZ9g4YYQlp/7Qa1qxYp7QZUKZqgXH3WJS6xrjuG+He4iCURcGp0NvdAzJENhyswtgxVKFo4IxNoqiEk0HwURAAAgAElEQVQRhQ6bykMXG7yRBB+17U6d3t7ZeZWTyoQlJ+7nCyu+vmd4+qWd0uzOABD8oBVXsKSWjUeCppgSsZq41chUOqfWm/JxEY8m8SDXoZabFiRHmkqPWnYq1Nxo446cs1ORLyBozbHvFboqwrUDBNloCOb+oOU1CSZCigCpkc/KeGSMDACZGR2KGcjkP/REK/0siC5uySdrq1HQb4IlDju3EYbcp2HRZDjlnMSw/AJFCniypwyyCEToR2HIIYIdE6SmI0yNJPUQB5JTHzlfTXq4wipo2iymwcNR1VYrVwQDiIZJQiZ7o+QxczXLmTHqHC+TofsUcX6n46ZL80kwkTqmh6XwQS/mm3t2IiXTKXpMirq1c6ndujgT749WVjDHWqJnsao2LNzw6afPDg8OeBQ2ESUmJlYDe8XAwZ2qFERoPI37BfMjnkjUbDKsGQdrFFIybCvoAUQuIWlY5bkltUKgU6dOvX6dnWDxsBAqpI+a9CwranGSbsqksdK5AlLhUUJ9Pj9N88iXzIUm04ZKbbUmIEfIYutEhuiEwelBzPrUg5itoKwqMwxKEyo9OAeQ5kCRm0ZT4pTnS0oVyz4nX5nfg0mEDGKIimn9wpKZRWLZQ2jyR52ShsJtRcdMK2QGU7HWfgVLGhztPQCqQx84yyxfYOznBWpKMBJDTCgG8pacECXq+Y2jX5RI6HIA/JAkZOx5otlvjSKCKDgJ5cFZiagAU/zkPQTMR0U9r1wVD2aSqqAKUGUlCWEOB8BMPxrICjwWId0p7tDVykdy/JePuRBlZ1E0l5qfAJanUd4VKVyaoufNIwjvEEWGiBd441KU42mFScyxlk6Ol078SZaAYq8fqzOd3rp1Gw9j0S1K0xakSMxZsd7f8Lb2BNPsHcxBBj4k+254SeqJGdbqyZCx0Kalh1y//5aqM8/YaEm9pMXQVKqbJeOk4xw6kTbFMmn1tEIit92jlLPTKd6c8/LlSwGU0xWdlgeSEbgeIJ6KIYNW4GUmHG/Nao9MK4QR4MAEYQTJWuXx5KzRuJqatWYlx7MdIik+mS5WUyTAijInoPGfDxk6iG5orHgkIIRD7UXY8DMVqB/3IYt4BgtG8EG27B0wVybvqPStbWlyTIf8A/Vh7BCe4mmQLOSdR02b4NG3eUJOxIVdUTuPO0oJeIOV2VGCw0UJpApOsQTvxDl3PHaK6TlQx88LmyMaSTu9Din0Cq6zFhXqNtKHfaPUZczz5ijs0vCcE4FhyvYNBIVVB/O5vBMaSPxnGr7FluwTGNdv3Pj4o4+wcAMNENHW0atImw4JEx75yL6Dmm8boGYEWJzbi8zK5Gg2tw+MNx0MrOgBEfZZEn8lZhKRU6pbn2hzSi0mISkaKMB/ngTUupbEAkZA5vnz52tra4eHh/itX0YhmU0g0k0abYnxU0p4V+ZsNltdtQuVWU3gkE5vv5xio6ZyDcmpeESTmV55XdK6nzOdQIlp28BANC5KaC80i72QwGg1efQWajsB7ptWPr6cL+Dnx2lXS2h7XpeP5UrHaks6AkQ1BxVHdxb5Q/CS0n0TFfW8oE2Qk/gSBNmTdeWniaGcZORSFMXVBIrsX7RoasEZ0YYNQYU4kXtbWxxCocI+gJp83g43cJCo6Z54hMwMPyG9SJqoJ+0JsIO0ubvnX5HiC0K04AE2fUbKXJEyFKm6JeSGLfuTaJ2SX3DJABYkuMhrgdQI7caBO8bjLScnlUDw6cbNm1iA1EJ432FwvIKapDKksHrR8SNTg2NlGiG2BaXvzelsf7IWSzg+XuicUE3kRCap7oDaU3mn8EMEc3XHr19FJEXLk9JjbFzdR0dHmF0dYdKzsoKH0LveQKeRrwufc+fPv3jxvMmeQEzzGxJk6PLNRz+GXeg1iQ3KEdM+GYFr5mjlJuyNVN0J5LosL4BSTVDzR9E6lIxUIhQZSZtNpq2W8tEcK9Xhm0FYHtAWuYM+ixoQ3FCYHB1PZtjjyRF6f6x8auAG1rP0G8SmaUuQE/hCzt+rcgJGy+oTapMThGnPEwGGm0i5YS4QwIFCxQVjHpvqJ6J+VCJ+OBzTaBcsqRbsJUGqzIXHTzvR68duwPV76je4k4cNEynsZDrFEyl0jPREKkESWd6Hxh39dIlRJBt1aRxSDu9dkVfD3ninSDN+hJiWaa/YcP0A1yqePHnclKVhoh3EMgz0I4Y1OIF+6gDh7badmu68mutqljYapqYA1RkwND+aUzSOh3E+ffr03t4emUvVb0jDP7I++nnV6d3d12gGeF3g6toa1gLFM1K9TzCVNtH2cKksJ0zNrzlDykkn8ql+AcI4NAtIiPTJGgvH2u5WxVZrcd/dA2UiPJxSXSj8Zkmmm1rNnB7cqOF0GCKoD0/xU6Mj+Uym+NURFlxZWZ6sYj+dLHdYpgFNrMayiCWFRb107q8xoFHrJKxaSCQohtR6I/tW+qf94PGlSx/KVP8bopgzA4q6ORlOyaHLZLkujVaBE4lWHD5v0dyElL2KplaHn+/zO2KWjumyVLE1R/QTTEbIkkGNTYG269jqZEcWNMc6OpovL9O9wrYNT1Xj0sWzTz65cPFiLAt1cCMQjaCIKGypEzs0viDh/HIFC0ytTqbH7tFSJTyeRRNbiUx/2GZYMMvHxL87Ivto6quzNvS2t8/s7+/jrvH5C+c31jf29nbPn7/QGaiLAjwNGnxD1wSHT6rNQDXE8xkVHSGv7JcMa0ij0fAp9U03m0ozpx/2GDhc52Q+qvfosIZguY3VIDRl6MwyxTO8fH6hGRHGOFylyjaPDhMsH8OOu43Tv52E+cJNli6nVs5p1KZ0ADQJz5Ikec910O+nlLVEinKmniCjlSRnNqvl0bZZb/hbKfpU+owYWiPDHJBeLP3Q9EahaPmhK7YvGwth4mN1BlCq6sZEmm34RtW61P0YwxOeecccC4s51syxsHADbgntvn6NSxcUDr+CwM3x6R+lHsNiviqEYQuZE7zouWJroiCnmZlHIlk/YHLI8i67BhDS2EQS4apRYY1wx3rOcFgYHYlFoX+wv482gMU/z5zZvnTxEmZaaEH0Z3lHIhazaSrhECb3aHW4XBZJx4dMQvo4oXSkFKONe6y9QxPj4i8OrRnGZk4/6w6nsiV6ZmwYuzY8DyJOKlTVEB1rm+M5PZzpzagw5Zm3/HXuI5UmWBjPMPJLqCStmmY46DQiQdkftBWrX0Jr0PJjLl5n1qQmUoYQevzSK1UyYh4o6mZsWZP2W8spob4FuV0P6lGEH6gkVYhikmZXQn3lUUfYSNvuhBL6j2xtwE32yDGTmuG+gYObiwhPwGtMJXY69DS5KHsfRzO7J2SOdbK0zPf/k/pCDkXTS5cu37t3d3llBa/jjWtZOScx3mCmhJPGIope4o86n8vSZLkQY5VECGrEVL6ZkMZIFU5AFCwLaL+bOqkckZYqwV3CV692cJ8uJdiep1DKQEg6apwyYvPJ4yePcMd8a+vU9vY22gDu3OGiJm7hUZNGoLtMs9RiyJJxfPNcvH16+9Gjh3BWhMV3SUPBRNQCgQwJIND4/Ni0Scfkx4eSGSVBLVMbNqSL/+5OoI1zp9YYOegHpBUHD07RPWo7gmPYKV+jimxFhyvSuKP5kwjJKUhCJelIueUwFeS2MGYgpc9FPU8GNMsvo9maDdBRrmBxjZB7TZapQJR4dZUvYfllYOZvasYk+tSxj9eWVnsZQRof7D8nQg3cbC4zjrGUtBmw+vh7Hfdi8IZdm9H9G1SxwaCLKXPS9l3LJTQN9THOIjLHmk9xHYtZEqbQFXMBuRs3bj54cP/q1Wsd32ESMs8c+ZZyQ5sLYeNMrKiCw3vzJ58WRYmTulVGBZDrLAJIH1qSpOGTkUHIlqZ1a3IFc2trC4to9J5gKQ3qStSdhapgOxYo/fTZM7xe+uKli+tr63iq/fXuLi5lzQ4PcW1pY2NDROW0RA471T4pUVccIjmd4iFIzYnwo0MSZxWxTa4RQFNKyrN7Uuu8KcfOmr0UhpnrEZReLHso9a41teWcGzZCOhwL7a5RoU1Rv8E7yEp3/axe1Teew5IZQef2moBvxSi3HynFHlsERYfh+T8SYKU3tVOiPgkez4iBn/mmGIV2JISo2NJ5tRNN8Ti00ueIcaSzyV4an9nzuNl+dy9qCd154BEQ/KXOE6yaCY2Gk/jZ7mLDZ7+7s8howES/EUS0rC7mWKtwku4VCu2MOY75tavX8Dbo23fuNEcfq0Y1N9RXfiRLY6homrC2Wr4L8quT45PJeou+VwyoZtO29U1yassm7LcHImJNnFCk6ghzXEx3kn/uRvpE0ta1ctKE1FWS0qeffoqnrC5cuKjP3tH9we3tw/V1/JYwsoJDwUxCNYWjHCIpG1OVQwHE+zGPj+gPAStR+y1NtMcJ2wUnNEVQVObKXcpmOkdC3fCoX5B8DM+yn+3Sw004rDeZcgPLcA8Gj0NzeYgKf6lRvWJUAiLPqOiw/4aG5Ny0MO3tOxuQ1sZgbQTf4gN0m7gCaGDL6E3lwMgYB2IiacgQ9Skm5frSqAWDnL8pH5uIv33hN5HmUZB2lqg4Rh3EribVRsO6kJCrjVJTNegGYGNOVMwTBg2wmrYJ820Pm7hWM1HSKYsC1N070qLAqil55v0El+u8TC2VhEjjFHvjxo2HDx5gHwnYQxmNHLjNz37DAd7IEVGjPd/uCf9UMnI9vpoxWsUaDXzVrhJNSHI7BTejZL8rMQKtJqVuKBM8cn769avXuH3mQwlPgfKDWQYXScXZebXz8sWLs+ewTsLNSDF5bvBlIii/SNNpklIctkD0tDNnzmJNigsXej5Nb6ZZ6CaYHYXgyieXiHhaKBLPVX0uPzRBUj54WNr5SJpl6F0dkc6mhimY8bMOZBEetBHgGRVu/BFDfs5guoSl8hpV1doLyh76NaVQ7RMsFxCXKhuyrQzy4oMqaoIcjUDi46h4EYcahdT5TPg4Vi6VpgJX20TSis3cAKfRDJyZQE5gEllN/PFzEElshCthsMFAm8PlosCeLQoynU9hdukIrqaxSkpURoMy1mzgeRUO9XRvE/1jqHO1Ngrt5QLF9NqGjyaYekDrYx0d4fVArc+848kbPPP++PHjK1euNAGZB82xbIycCOrArwg1bRP222rIcb+asxjmO4aeTE5ND7w1GgJx5hkrGgQ5Q/sSgWrjoGnYilAJtS87qbT59d/bZ87gaqI8AG6QmkGvh+NR6fXrXdwT3D6zffPWraQqFi7BD2tbe6H4Le1RurugSfzyUYltwiHciPzkk6eTyYWs0YrqoMBQRzGXoJIEIhjIJMU0k+ou5tvhWHXFrh6WISKSIuyfsMvqb75URnvDsOMEd3y2SsAOlTSjmpofu9gZFX660WJ5xIArVH6CJU2j0Nyk9ytnvylpWhMqZhLZglgwfdxRXYcErQmBxTU9c/qPAePjNA0/t7uGr83nKJthmonEvoRbKrNgo3xbQzSNAjutepuP9hRPpHJ2ScWq5WQq8wuN0yDYLmUkxa6cr7BXGuNNjBxmpQ9WzA4N9hhBsvQ0wWU21wmWU/I8Vs3vCvH8zfHx0bNnn+D+UQaT12glPi6gzKcrKWoBaERSExlbHbK1IaxP9p7Oz9paNwhCLoxiAlzHxKHNk71q1mfCJPcjzSee1CqnmBXjDwDuUJRXBaUoYQLPreOhrs2NjVu3aWqVg8IEq3y3Doq6Ud3RsQuYFnVIwFP+MZYgJ2pHqq0CUXgAh1m5jmPimUPwPPJFxCy55+d2T6t6Eso3DkkVLtjxVQpib6ZoWN2Pz9HNqDhMuOW3dJKf24xvP4vokWhWslSpX7G+TOfR0VfOEqooAKEklJ72gREKSPdtdGIFCqUrKAwQ8cJJ9mFaaCgHuubN+JpDR8FBtXn1sFrDCOKnFLjGg83SNVzxiwAsJRVek8pjZ0hjLGzURR4kX+JAbNUbf9WuTdjvLJaDyoostsAS8Jn2rr2Iqvc8lg8fSdEhbtzgfPxaF26gZudiSsrj3ePD+NHiYAtZ5m/nKNIC8Ehp/1kbzLHFUZqn1KcPhbRuHEkyl3Tx8uXLqIWrV6+KfBNKcQqJ46Pjhw8frq2v3bzpbghWQilVQw88Q6KGuAQ9LCpQiopo+Xh9DKsXlPIEMrHg34PLNKt9BlCkLYWCH/keeaEjZJxvjy0UV7+lVTRuNcNvVWnpNZ6W1+K83P9fJO2MClHBQ+rYTxc+o6qPuxfhFWqYRNKcSg0IcmTThM2o+26ooak28uqgGlJEEf+xRYiZ4aoBoJrQjyBSsj3zhKIqqyFNqHEvh8TpMMpSlAUk8MdrMEZY0xgK7GhAVqkCbVGKRaksJd8vLw4qBlMmaat+EAtqWP1oxVomWAwYBq6TAQiPxUmex0pex+KYGjuwiLM7Fm5YWVleX5dfk8WU4+PY+cxxSg15YXgyupJt51JyZFqjrXmqu/nkGHC9NjorW1Ugd2CVMadE+HxPjbTYfQIUXExqrjhqWEEwjmR8jKtfmFpBEC9E8ruw2hAmpu8wP2ZLARSWtVQl+OqhGqhLbG5u4WkzPBNG4hVQbMdAk8/wLXadkThXhNMSBqP1y91XL7WHFAetfbEBRsqEoJArWrbJtVLxBdQgVZdf0EiXSyFu7PetwYbBBWZgwXT+uR+ZwPl/Ol+ezr3LQwu0bKFbo2kF/W9L0Srbb5YJDnytZLoonewKSZgoU9qjaUpsohdUkVxkstch2ijZwH/iiq/OFlXBtPpeNPJKIIjNlNtvsKRhqmIlMGVnLTQybEH7d4calD9sFTI2qsOWSgxIAJzqbgCCVScH7ZWUDs4mLDMnC5Uo75BF9wpnR8crwTPvwGeHeWfBcM3j7t17eOC9cNvXuso6gbZFqftGeKiLJxHcnIewIJOUcnZIADfXMmhOLpPy0IVPJygStmcsourQKBVCubIMlcnm1qlX/Ki7L2BZJX6spGL4pcLJfH7t2rV83VFYZQDAgEBUOa79u5Johh4qn0ICS68dHhwEAgzFrEyIdMjCcSeGlhQ52knR4+OqiSLPVLJQUsoNoExVfkqLCiBMZ8Ez20xKbTXyRTvoiQ2ZZIbiGfvslWRGjFQyibPQTMyoEB/TVKlzLS/Vvm11obwseF3c7QTLarnvdv2oLpxqI9WKFdWjhyyDipfRAE9ntGpo103rN3LFByaqSSHHoq7ntVoW+YYBmyHo9qjzN/wyrvFAasdPGmXyY26rFRmEB1LzrURQ3I8QOZOtMRS7vmIzHUE1BRI5CAU92Bs9gF874Akg2VWinOUftd3/SpBKZyEEqFDXvtJS6VxQ1A3kjvA636pn3qc3bt748K8/fPe9d1U9SgCt+yk1wjCHFERuq3rCQQZVRU3le5BLk/kx/+S6JzE/WAwLYh4UkeIGSpm6MVXdZRsQQ3WoxHPnzj548ECX4lRzSFBL4B4eNYlPnj7d29+7du26e5qKiSpZirMNqzgjsGa48G30SDN6p4YKnrt4LQ+eczebIyIpOBj5aCVrv0Vd0WrVknKWikFjGcTW1L0t9QObhJEKNEVe88oIc3YRlAtN6LgSWMXWuv028IKUxPMzjV/iXYkZDdgjbRjj6Id+ZkZFt/zQoZ1DI1kZD0bixYGnZIZpfoLlx9uwSmR14eufRCOo6LALKsv20EdkclduwkZDjQ34YoL3XrKSqWjUCVfKUs2absW4ljS9JiaeN9QZNlKV9jth+sJMlIIqjG0w7bcvWpfuQxgLE9BSWIlAETPPrhzS3s9lgUaGp8bJCCourj/G6N2KBQHdlJkmtMg9j1W8bIlGdPvO7fv37uE2k+pGCRORVmaRGs/MNI8Y4j/NpWj55GaUVbI1sTY5nM1pESyAZKCa8YhQYwFzvYGkKMByGu1HUnRp2KnS58Wkc8IMwVBECktb7b5+dfHS5YsXLxJLOM9cJZqxS1QWbB2JBbrRQRcoOh2gA5IXQKGYJALjlUamOhwqK9FJmCmDgYQnoGhItMbW00slBYDxh4FZ7QbVKobGPeelaMlxGaFcCp8daBwAVDx+62dE6C+j+Y/3jCrmz8c28MlCZOYnWKTRGr0krB9SIOBQcOwfpP1QPVODARTLnOTlWGE1wfnhkaqGiUAoOAjluh9Rl9Fuo6FFLNE5MZVqtaXhT5tu1ffUWqA8SUra+bTJVkOcwC5zDoxQ6g67MQMm9wuNphhREP+WnNBW8nV0WIpmDLbpd1DLiFLA7G1Hy5vglZkmWnvtDNexcK+Q1nl3Sk2zuMBwprhwg1HJzmaoPDg1Wbo5s8hHS28bsnymAf+N6fH+ZFVCLia6oYl5rTLCxn9DpxuUzzFMC1wNGtbLwKoZ+qh7CENHILezs/P80+fnsbDVrdsiEESkqZPPMT0iaFN56WJJ2kduChaeAot/c5xhc62BTSgUjsqSRUZUqOoIvn+YUBQJLiB2qumJmjyWTJV7oq1Jp0/haRWPBSxb0rRQyOsAZERjDT1mNKqv/HSJQprcHAj9yUAv9SMY/MyPZ1TYZzWTcP+pZUYTLI4G4lBs9NZHjYzGUEqiQys+4HsgohKN+A2ENQ4JCmwMg5NuQnufLrdqVMdSVY20hngYxSyHkLHGZZi1Vmc8gU6WpKoozqGaHI3Z4YE4sF3YyBKMmbFJkyDnQ/peOFqTdK+Qn8cqz7Fwiwo3Up89e1ZeEBLMaMwIh19pLNkmk6GIlm6wunu3Odl9Mg8WmMDphs4NaRKmo5nWICekjCjFWkBqx8aMeza7SMwIYYKLtc6tBoJLbUHYgg1+6fn8+afb22ew/j7lZ910ABUpOYlWjv9FPI6njGnUTBE9DmDUZHP3ECJorZZR3BQ0w41ZSZpoWqoRz4iPO7TMRiEm9n1izpBLee2W6dqm6SSQsrzGaRgGjZmZEAXWyGCQQU0Vsyi3GJUc0/KeIklOsFCsGcDIgZFLlCwki6oSwNLfB1vABAtoYXQMtPRl650cBZKhVpZKpVign9QxFALB4IC5OikF0UQg3e8gh5XLT1lBFWKjEt4ZERqC+O6e8yCl3CGPOY15GYU7hfNUU5roQG6sFmxNJqMmmbT3KErSy7AQ8o2CJFYoVXtUiQaL1iyzteyi7xFnf5VzrDNnzjx5/BgrVZ46teX7LO1XchBcfIpzD+uHD5FLS10V4ZKqq5P5UWMFEfQp09d0mCMu+M+TCc2sNNfmZ5JYMlNOWuBmzl6+EDMGRUxwMYvC0utUyGFB5sHBAZboxG888RJJ1eWEdE9yb9DGhtLEcrjcGmw3YwKWrdHIhHdtde1oNltZxXXHqq0UtCoAFrINAkQlqWGsx4gkHTEUsO+RQP2hI2ObAQ8OfOol5LDdtuEqGlcokWvTyJdbrFzQaEZFYycm6NIWcAPYzqgE1TNObrBjUOFsryykEBZIMJxEfOxKeqaslz3VIzW5gmVPnEKWHMJ/8ct6Z78j/bZDILZrtktYMwLHNDXpmjPj1INZ0ML3MDA0RGmL0pKMHTobmS1tuafRnmopDl57IFRFRqKqQlOYybxBaMqG24M7wytdy9zLSLJoZCpyo6RPRmSe2Tocab4sI4KRuJOklPMyzO91VDnHunz5yr3795aXl3BS186mCRtkmWOlpgu9uAEOfafTYEcPyeJEzvGVIFMouavhm3qiRzomVW9LQMpoMXr2GGAyRJhaF3DrNm7RYskMM8GaTGaz2dMnT1bX1q5fv2FFfGQ+9XYnlvq1B4WNoJNoyNSBwBJGTqnhZtDwcmu8wOf8eX3OnWy2bsKtrnlQewDdZHhhSPJdFQjPVgYZAQ0aWewNpeFlCHKTiJaim6ETZHtBI7igrOOBdQ1EcY1KuhpBoP0t4TmqenBmwa2WGaQbW0QuZh4fG3EOYqT6Ng5lgmV9zJAdQCyNmM71zEiX4KrTpGtirC4YrUgeqJdMjilU3guP+qf954wgqHZzmaOl6okWJalNu8HSssu3hyKYVa//7gHn2gPMiL7su52N6zkOkOQGLPpEW1pwD599CgCpO7X4Stl0MMfiU5GIGpKWMS6W4IH3a9ev48cBWSz2cERuiFcbGvU8bLYZ4Ns03WaQy2jSqgquxUVcDX1Oe/7IT+E1rSI9lZlMLl689OTJY6ytj6kVOFwtrb/AHKXKqF83YxA7IcfZwRDF7KY0Y0uUMynQ3bcGN0wW8cvH7kCkYfg0PeUI2/5G7aGVqnUNzYl8tYf9eHn6TW5JSLZKJCU+vFfOSgZSmk7C1GQqQj80c40KkypuE7RgusyoKj0tU7TNI2hvGoicrkjHpYJlTstU2BgYQr3wKEbrfxw+gzVKmFJkClEKPcMRhUbkeW+SoVjKRr88ga/Tle5He5+NdGF6H3ftAud11nypLix9PU2DMzbACHPT/CTYNtwqXEoMZhKDg5DDFIKWphTR3kn4TSOEUt0wu+dRLZrHVS0RW/rvOcY/kVOBgQmMkiP0VNuK8bvC5aPjk2UMldmfTMDi9Rs3Pv7oozvvvKNjdNILLg3qNClWmcme2vMKdz9XLzxO+C0jXDA3YYG4ZQJH55vET0oTIC5LbGcAWcyE2IRD5H3GDsu28QYaFov63nfvzg5nV65edesv+IrJNFshp3LmPK1ADATcH1zSiA1EIOapd04KHnuKXxFietcZIVIAM84xzjI+U4/kWg8NgODVhK4FkZnEcdMIE8UgwmU04cNoVrGsUCx1aASWixYaEOhyBUGE/hjnGZXc0/PxbZ1SU8+i+Qr5tNWvrYUUd9Flz3hixY2auHlm/XRYEpzePQ1JSltrZGcywgnWwNBYGyF1kxvxgow4HAqHRxZwtG8f3k+HBqR6aC+kRZLpovabv+2H4EiRUx55ciqSTjBnaBvmlrry6w3szEm9ueN+KeUYqQtB3nvJSGiMQxrc8ca3/LRYzJMpl6LASmgNBb4CCAFfJMkONTBiO2G0qtMnkQk5c1uQPwsM02Pzu0JeRSrJHq8hWVrC0qOPHtlaXfQAACAASURBVD7EdayMiGaP4SqCxRsFVtJ25E2Gem1yfMxrNCiJdIKdR9e2YFaqmWNLWr71MhuPGoYbW6F2w8dJwmlYRSOn5/h5wcH+3ud+6qdfvnjRYXZlodnHcm+lIHM0nA5SScImYmM1YhOiyclxpwkWRZlUyS0JLu2FMDsiSetOr2/xlCyRkaGApC9YgsaAvUEdnzEqooGWnFHxc1QUjLbNwo1SERbMRM8dpljYAFMZJGNhCrepSFOttm+SQsO1Qu3IeE9aLZsB9SdYyCogl/B8NQzmhO3A2LkUtK9VQueyTsIOraxGJx4EnGPBO1JkFdQQnXrrrkmVjTgy2VQvAOpgPqIc2FN9UOSLvd20NAvTOJjjmESBhQq1IWjx1CyFterVcYOLbRtUYAor0VPGB4/VASiaqB1jfd5EWY4pykK8gnNwrzCw4w5wQ2d7e/vRo0eFtQOMtB3NNGwOJZGifojNNAukoN4IFhyLx00Pam16sDcp3b70ZIEd33xk+75IW1oGDUgRU0GjZJtae7n4+OmzZ3t7exewsNVF+l3kzsuXeABrtfphcM8MUTKhY84myCa8SlgTnmoyKYq25SVFOmXSDwnLaFQKSGFom0CKr5SV20k9N0Uj243WWMBhAtKamSXrOr5lZwu4URHDDnbWzqgsP/yNtSSLN3XuEo6fC9cozlo4chZG1HEdMSBQXUEqCTQGa+u1YRxsnJyzmkoJTv0JVkFXQaIEMKFFTJWmSfQAi7C9QzHjZWSSeaMUTfznGGA3l+vSxJUrp7p6MoY7ZedZJmGENIWZi5WqJpJafmZt+HydQrqSv1g1tq2OfNsjNjIuO22HBQdkrEbF04ndcqEw0386NnncOJBXH+mSUXG2P5ol6myALTVq7C1hfOsAYjOdfEuqZo516vTp45MTnP7PX6h5MDmexxADJmyomMiaSmt66DMmx/KVsTk5elVzBcsimjBZQITRBc7KuG/mbBsH0wzbhOi2gDi4UgpLW7148RwPtlOEbaxwf/DB/fuFRV8TiOSaGTQc2ZKTCYxsVrEuslqpAmJE/KghG5420Ebc5KaUU3nGRQeXEqrO05qFRjp4to4seyuWa83szihNxadUDYiGbp9Mp5EDbQR3/fxpAGVWo5FwaZO6o7q1YSlJF8tkdiUNhWgPRXS1WaaXq0cly2EkOprDCW7FjciGMnrEwvwXZogiR2EederaqwhqoGcitsy2KV70z20khniadTlx1395hd9y7SQWmmqyTJpjznISYb5GSMeXSpgmdm/FJlQxB3akobCUWH1Ttj1iQfNL2aexl6kSXWknMsjHfYRANfyehf5JoJH1FCsGzRbwIEAiToJaNGVQUR6RYWt3mGOtzo6OVkprkGLhhsePH2EdplOnTrXgghgCzHtmytyHUIVuxtn16e7T+XYLn2Zx41IWiQhtCTXzlvAy+yaEy+H68HqAK6lK7e7uYua6fWb7ll01FHYRParn6XR9YwMC+NldGivg7MXZJy2RzwQwDVvINfXY31/pe4eHh5KAj2RtfHoA9aNQcClbJNyCPkiQDGvikNVNFhhnyd3izD6pnMrMR8+bUUGRhj48G9FyrVfpjVMdFs4MBZUR0yYt8lYrqMtRWks/eloLPiEZ8LwGJ1NX7SSSoL2vZeXDPDWQSNRLJpSbWQ7OpahpYiFgc4KEji1CuAoP1hhwK9y0NTinFZoqIdxExf4d3woQKlccjYVomwed0NOY6dwiRagIblGqrdAzbOLIGtxJjS6JsJjpsHLoKRq5xtcovVhRYZ0B84aZtLYSpo14Z+W5aIQQCkOs8746m+HJdwz8yjlKXLlCF1Rwj3VjY8MVBbFmXSU9YgSZVfO0tDRZpnNH541uOtC43yDfA4uNs15Hf7G01dOnTzc21m/euhV5YEI4n+Ne4b27d80Ei/C520Baqon3VZzz1RqZrjvs5G/QqLk3ztfW1tzYre50DGCeqg1Jf0DuWRxw25ypvdBMxWLnrbeXaP2OBQdmJ7QeFV6MbPjVzKiyRNnJZnfLyhcLbACpyyX8pbDyuUAiy/uWGNs6GIWh0uMKBsEW4+KrCCNN8qRh1CQpEyxOk7ggyp6Oe2zcHnvoZVXgAE2jKPi8WXbwp/m8uRUqfitUUaq6EIQyTnOLiYdC2+6r8d+KoHhk/NKQMxXcpn8rlKzRpHWvgYicNPO6PmKRM98ASQ4IGXE/O8mVu6Agau9kJZKGMSad1vSx/XSmAfoi9Wl62Kd8HWs+x6Pudz/+GDetsD4WIxvaaSsDIpgEpLEsrJL55DgpGWRKf5QsDjKNeG5UHC+IAh4yDJjYA7wQ89Gjh+tr6zfz73xkT7Gb49ohXjuIF+OYMbxbE7Em9buCnsq2JNL+2j5pQg2MBGO/TpwVp+LyBqU6AEbNgDkH6ubMK33XHAwix70eCD1rxLtGBe4Am6NP8jWqnoCxM+P46KNyPHXwM/icmWgivmImLQhj1Yj6mwa0vEVMhZPUaILVz6Uk3JBM0LbMPRiQwztBzSDu5b/NZDJg3LSDvumdcpIaJRcCoJJgbVkZkEpDjnIU5llb6Vxb2uM7C5gssOO2GDK85TTZw3adSpKIp9pWTqIhb8qgP+NqND1DmSTBlKs4o5jJ5utY9l6hfw4Uvkwbl1s++vDDz7z7bgYjzLZ3u8LcAUdg4p0/ps0n3FO0i/ZGjiF3qWyl4EGFx48eYcTzF2QneuKUkLfRRjaS22fO3L378blz58ZpNQLuR6kYnZZCxpEB3NIbqU9KQFrMDygmfKjTf940YTMy3+Jm6HJGtDJbaoSaQPm+Ia5RHRu+aF/4he98Of1Xby1gJT8rJm3Ggtvcqm8/XLadcJuHdi9A36oC+lZ8ga5pv4qZILcNNVMBtwINrqMK2TqR1uYJ58X/AI864/QNTaRaKUbM/ENqW9IhJddE3Ih0Q/Zxw3R2WA7F6o+ojuWqrIEOmYZHFbCLIJjoX+GcxAjUjdsjD8ut9/WioMkYJJkUXfyPeaMXdI57ZCU4TD1RHghUHHDPFFaz1eWV2fFx/nksXD/GHAv3CrFEVgU0xs9gSlSj0iJjAfH+wpP5jKYm2Ey0+43Xo1aIZeNPBMUjrHaBJULwY0x6mIFsMnNOmdNMojOQKm7OPnr44Nr1qoCLrfKeOrINY1kyLqUOJnn8xYRd+EbsfhKKEQHBWtq5IMs+dq/22JxtfcBa1axc4wyemFGZF8xkMYICJTl8EkO4nSJmIkNqrOraCEHJpoAj1bIGEMY1bY1VfZOiklN6puFwl6mCkR9k1onWSOGE6J9GwBJbrEgzKXht+cfFiz3GH464tdhmA9xo5KG98ie+oJ6kLcJtqPXlSSP16k7SEqNaEdDRoJ2R3imfixdpxUOwfRHNr0nUKKIRon0Wm6KDSde8UtF2ghzi7RRVJEqQ3ZEGFEGucCeigEPqoI5rGIvWZ95xLxGvc3mIxbGuXWtCJ3LaA55QSmdZ3nBgfXpwMDldE/M0lIz9ubLh+V5jwLLse7t7mJKuruLugQt8pRE8sbSxsfnixYuzZ84M8VfNYTykBy2qmqIOiRUtvAqQGl/tYx51gOpXmLDDoOZKOx+x9zEg9SWKTedqVV6SoLFQrlERHpGnl/rpGT+Srj8cTCxtqhlGP6dTOIShr542WZtr67m2XrQGc6xNPsvlZHxy8gyWn9MnDXNsUf4Q8x6vwx9oMpvp3eSodfWhVNCpa2ZitfIMPzbFAvtEkcTIRCqkYo78c2gC4A1khbRo4gqj9F++qK2O160YtQIQj2kf4xoNflJKW0SR88IdGrkImVgbJc6ra1UhHg3Gcc6w45Y4UojZADkgqZZRovWZd/yWEDF8/umnWFighnsLwyyEtBguFuZmTw5tTGf1i2AlLZiWGJS5Sg6yux6YmE8//fQZ3pl9+dIlvNuxK4Yvjzg/eHB/a3MTy5LJ2dcv7ZrGBMu0f4mn3wlNWuNgGkxFR2EWTcAGuYOD/ZXiy5cCjQrAQN4dCHN3bFIC2MjunWH6kpwLqYdl7DYM8NIJbsFVWowKP/D3G6X23IZu3wyt1r4AqsduitPG5WrHFSNIDFQPsOhAK4IG8CJ4udQBW7nAa1fsUq3XcpwoUoBDh2xuKMIfInjmfJk+2JkU0UAbq21mga1FHaBd6YdsCL9ovyjjtbh+13I6ljc6m92YNzUZuWaCRHLL5SeFazJbAJmQhpZ48wUq2RM+06XWQR/bWmsMd5GhuKQ3ww/N9AQ/uDFEm6JEmrqQ4U2dk0IvjIU96Q7bAD7uxleJGhFnGxQR/uRD0+SCZ95Xjo5xra9ZJDl4+Prg8BALN+QE4vwW6y7gnqLXYrxcSW5MDg/mG1RTY24IVA9AqIRa0+nOzqu7d+/iat+tW7fw6pvhHK9du/6Qn9/i2hyI559yMP+ma7oG0VTTsBZuQCxmSBaLfuHBsjCv7UgAlSSJp8HbgBrlAWajtD6DxwcaK3hL6mFGdTI9OlkyH7iwdLKiHzylHmu1dJlYvOJ4WLU2DIjTyHbtpyHTP2OkqgFJGdILVdOJpO910vH0FSwyj1bbaLeAy17RxQAI+ZFrbRgg8ydSxMpjNnJjXYTbWss+uOXtuaJybz5hmPlktMnYCyUSdcu7hWOlWAtKWIx2TJ2qfVPq1OpJgbTQpsUDp89ofqW4op4pGGKWPdVFTQYgUCZqtI2A6REKnnn38jWJx4kePngQL9ygxZkEhhlTN8FXI+gZdc1emR7N8JwvuU/1rfmDEwKVr24yJ0bUqCYof/f16+fPn2P5e0ytDJl81QSaRjr9hfq9evXK40e4M2teW5SnGCNAkjf+xs4ecyZRoMaDbRGRTGFmTyhMKLVjxhxGpJhtfeRSeJo3tuMSSXPeXUJb969RYXnPAXf9UpFUP/okxgM07acPibzOsKqRKjCj+UL42V5D/cb/i2WygmctsUWegYNsUX5wGLVqauxB+QgH9Zjc6cii42CGaZchhOLjEWgOgLC8jaeWnLQn8sbmDLAxpqpP54SakgzQlI3/g+kO6+Y+OeO0DaQfA4657mCSNkc9geJrj37qIeP18yHzh48JuDAXBCGp7FOei0i/fescixdu+OjGzVvFU6aNOzuAQWakE7l1m7yGCXtY7SoU8jq84r+DIkEjnA+yXdpqI7H+AmuhIl2bc+C1KazsgEXIXr58icuHwica2RXIRtxIWaPsgdupuE2MQdJi2W+5AKzRm9CLCCWS0gmtXPNbykVW9kDR6Pep8aYNk2NQh2J6d/24qjFW4sWn7Y//ZnkFBUJy2HCZAAyy+GC4ieEIykorXHPqEq6lFORH4qm2aFY3n+NXhPmLUhEb27Cj7Dd6qB0xIkOHUVaCF6aSozXxBHw5K0ndcuZve4BTxKDBN8mjz4ABQqyGpmI2+Ytd2OIlYm9zq7WO29r2pEKDsmkn4gL4d++06EK5k1n/eORoULfnWjBUyZV6z3t4V3ChdY518+atDz/68DPvfMbYVfLEWFjz3ncAjpOYn1WgkCiCpnxsGUF17UHawAXEHso3yPGtYeuDNZT+xksDnz59srq6hndj62jbFCXM8I/dpkw5B6/TefDgAaZZvFYnQsiOu2CCPGVRrmsyfFTG9UqlrRGQlzkkKTh07iFoHJlI+/gmKxgD/fKmfSpFjYu/Vr0p1imnbDEBhcfS56aZUOkUj+/TgukeDpLkuampBETXrAG9psWUtqLhJoYjFLgqT5GJDguKzSLLc2CvVGDqj9PpipwtNDdOeM0jLoqO6yUjxeiQGqDpd5IMygMrwUEgljvAiIafzCx8U+KagMkE20SW4ZYvWTB5MNZN7/natqclNuH7Z/OGfGcNpaKXMCTjlxRQCPn/WH81evYKJ05PqluSuQtjUeQ2IBHp1xygO2TESdEvzbGoc01xwebBwwfXZR2BSvLMc1hI/WZLvDG21Q+UoixnaAw9NC4a3+237b3leRse9n/y5AlUr169VryMZ9HZzpA+hDuzH9/9+M7tO0yZkGg8Z3ievhhDA78QBZ2+DIQSdanrg8ODldVVYcsjvgm7Dbr9rjMp/tZXehLVkokKKbBRFgjTNSoERkrou/0VNFQ/DGQ6uza0BvqbyciGa6HExhqUFEcTY9A2VaSYw2qi8QxWsyFVGOhPxm/RYlr36T9re/GrcKGXCPUv7nzSzZRbM0HwmtvL1vhKQewtOftdZS458FRp5oW4LbWy0MhbIOladvyyufY730BbLVmIxncesyGazPBcYPLEfShmw9ACMDHHWpnNeH0s/K3iNQH2Alduzp49h+excMewQ2xpWtDzqu3a5Hg2X214TueyHCa3fGn+RNp+hG+JNc3bUjxxaRxXrbDHbwTtj1KbjNI5sJc9zzU0hLSGHdM4zLEePXrEy2QY5vJVj9kwksgw0xcuKQUooRpkWf6UeXhwuE4/hJSBcQiqMyEDQG/fMyQoG/VOD1Hx9BVe4Jtfk7yMLttjczyhzB2nB8hwFaHRjjPuuMT+9q4jx1bjpglXNjilmMN853ceZ5pVPUclk1WxrZCaJoTUoiaamqaoINHUacvpD4b+pbQVhYYdnBW1IDKvclF+xWEWs0I3IQI4GsYl9paW/U7Iv8GsmEWiLdkxzASFNCTy1TQToFa39/0+wqyrJowl2kQck5QLKB3Wn61X3vcImNx8DCRF/xi/K5wdHa/g5+Rx9aH01NbW8dHRi+qFGwQY4UjOXYzZ/Nf6dG9vQufp5kaY0ngMTfrCfz4yWU2tcg5Vm1fxwH/27Nne/t6Vy1fkVl1ZPVlqTrfaSDyhKPSWtP3GEhXrdItQH8ZSVXcKT9WRinVKwCr4uMZcoUz8vSbteE8m+NnplStXJKdf1efs23j2nLILbHJGNcFzVNJ8rG3fI5uX/fZrE0JaR5rOar7dAteEOlV+ibT4ThJe80gojGYwgV2V5XyvEo+Exrhf5rcapPlDw5qfj2bIH2Lb0iStqChEfIcetthmeOtD5IChXkIYj3rJSjkGlr2cWFzYMS7Ag2GtJbYMNGsmLsocRxFquknDGr3EG7jahoQ36BsHmloZa142AaY2WQorVVKRl4YUFwL+hnlN9LvHtJ0o2U1zzehKI6JCrjCJu+xN98UapCtHR5i/JBHswg2vkqW5TDRPRC1XmsvfnBwfzN0Ei6mb1gMVbjXUYKTt92k6KcMU0PkcbwbEklRYCezWzVu9Z1cKL5iAlehLIJCpH5WMEhcuXMA7DXd2Xkb5OIT7nQPaRPFyhAwych3KJ08EmEPSBVzw0xupqB3C7F77HrU4aTHj/NwxrOMVNFg64Xhphv186RgIsnTCMtZQwPPKczO7Eh9zOIV8jYOfoEffuddLSKWoAPJWi6iaRt5odKL2lIYdZjDXStO2FpA7YIJlexL1Cg2OtI5ug5nVMSMJe5kL94AQ8BPufnWBNvtgBjSF9vloZjohcKqQFlpYrtYAhd+SsCdDOqfzqGXNC1d79Ea+LSclF1lF5PVjiqjp8P9ubSgCbh4SKlV0vGGIR8OIc6uPqQMTrI8s9Afwp5obfQMm/qBP1oQh75VyFYTNp0mI18fKzrFw6+rlzg5WkmwqFnIQNT+UBUkpQvRXp3sHc3qURxTZC8Nf1bvCqmIugQWc8FpALG2FNwniMfOcWGu+0Hbk0Uy59qUuWtVVAHOsw8NZeo7FQhIclZeEP8WJiloPwZNpm9bvXLBtrIywv7/fXBIM1QStJNUyWqGUEDOYaDwyo5L1qHAHEAQwo1o+WZV5FWZUSWSpHXU5KdM1E/GkaRao8jAlJlr3Xa38mMuPPh+S3jQ6bCKMXGvN/HQDCuSkHaXOI3L+Jh+oYXTa/JbTSbGfMLPHPXTiqf0XtJmG7OuAfd4ERpv9lqMF7G0NgLpXjUyfYk9blVVPuUq+Rig0nQqPoMC2fqgKuBaYPdVCiMKHWk01LN6ADHN2LrBFF/q6Cqin2beqogrwD2EcA402Ia+Ioo9Pjw1zrOX8GqRYpenR48d49LsTsjBpVr+tAPHCdGM0neXJMjp2qwsQgO+dmCSFd3d37929i4ust2/fOX36NGTqYdkFIqE8hHZEnqkmjZcyL168mJtjQQ2Y2NQuH01QNbiCK+nKve8C0yaynOjWhHDxD5PCpNEk1aRkfabFxIzKLe+JxT35yXS7wie9MrnihGititd+bdqS/t+EyQ8tcFdN42gVoFg4lPdplB+3XD4F1J7JOpJfEKw5owmZ6BRmGYYPufv9D5WGQ6k6lkZywNZRO0O3jYDvAGTVKMZhOdKcNiQur5GukakyxkLGAXQvaXBKw5gZ11o9r6RkhgydxV3oOdWYQiXx/MwAwi8YkKaQ1uHK/MaIi5u8l2REoWdbjVDCwzzVJIVQmY74rA9ZaVAER32AHhik0+GIW+F9hTCEe2cff/zxnTt3uo5x0JV11rjGiDLTlh3vrQ8nk9oJHPxn9wN1C9P+zUtbPcGrAPGKa1+6ACvRh7CYrDcsknWN1XHBHAvP2k8mO1ja1OV6KcD6EeBhpoVUqwvUqmr7laHCI4TMij1yYZKpUlYLv1ArOsK6CXM0D2r2whKTFyzvifQQ1MCIAnWtrAAlPJDOAkDqAijyRhgcqsVQKXsUyUuF+pmSk9V/uwWoQM/9sbjUtPx2WyGxJGb4wiM/6oCPDpMGSzKlsiSYzaxpq94ZhOyIrd4WjeWh+taBmu+oWQcOoObeJJUauiTT4MQTEakJKpP/Xc+lSeth202K9MnMtSyZUXkuGPCGx2mjY48CbLbDbICrQM9yFDvbgGIHbH7aj365hbUbcAf2+vXrD3XhhrwB058pkhAiF3DHJDlmRRhLkw7XYMR92OoUBzzh9OjxI/zk7cbNm0lFZFJ3Ns3ANDKuhYhst0Mg5BpsDgg/Y3z85DFK83Msim8uAuSF3Ugu0edtcfgtwpVscfnq3LlzIUDiqBOm6MMvPDvlsOilfukF0yupOqi2VA+2OUitBTOU8ug0yrAKi8ITCY2A5rTyyQksMH8xJwIzhW0NLAkke3zC42QF8a8ItT4TWsUsrSIj1VpTRbRsoRl7bblYsW53sJkWTedaY6N8c4BdsKwDIfYb4BEabDuKCNHYBRXjBhWiCliG/saIhNuwa8phbgGwdM4W6z64n67hFsn0Um8NmW3igTHblpBp/dAxoBWRkXIn18BMx4PCHAtPf2PhBlocy77XBdjGC9uYQNw4G0YS7ao8x8K1iePqK1jqE2yVYVUSTylhEQQc3rgerxrKLqggV0YbWyddnZIqNXGq08LvGYVzbo4FGIoA14J6IYbqWlCWB9RrqO7t7eXuDzahyxGga1RY4VM7A+bl0fKeTUTOKcNmlNqze8NqRcCGgDhj3CnQYqko7CBOpntKqRJsUb1cClWffBHpx6vQBTN3rhkc7fAWYVf3KfCtwa8H5WqSuqLur8jJE009LEnihUAaTcXtBlEnbX0wRuSL96HZ8CjG9r2Py/oft7UWjxN1ZnYF1oyaPQM27GtgGyVvO4OHJBNLcg4u0DnQemTotYWl0otsnXlhrYRyYjKqSleQCmC0IZAUhQXNsXjtBnoiyjnAqc2tzdnskK5bnD8XeBELRnp0yDWWvZ20OcVrnk8l1NqyyrDQRnU+fvQIEywsJYAHlXCIj2zCOsmdYDtdHkuiWEP6DanKGaGoXL12FYu8Qyl6lTJ3CIMKTK6obGzVeqeEONToZA4Dd1rX19fc6O5KSimCRWSxx/Ke3kv9cIzf97m6KWEkygxboCQK+2e1wmpbEhuQbyWApgVhOyA0+lhfsmoXlDRdCaZeFBRVphLz7YjZ2EqQR+TQb4Il8exRIxFzP/jAZNhgahXJ9z9E31xewIrekQPgJz5kiUrkssVvvkAIydBFwy+3NJqIdKQyvDE0DPbhQKMwbaJrnAmRE7C11zNCoOgIEbPxi0qqD4W79QFtCf294wm7zhbNsegxv6613IJOazfMjo5WZI7lagLmcBELl1Ww9NHpU/RgeKetEISNyf5uZhGsVhMMmz6pPH36FFdZsHonlhoXnGykGgULii2xjf80KLmIO7P379+His6xUNvNCu8KWzLplcFQju0nn3zCy6J60sUkL5hOa6bz+D2d4C/lE7zYO4x7eFTESxSKNhFOFPbPAprpAxbDdvD+hsRx4Izef00QzCnMMm58+y7UhEthgeTLK07DwlvLiBvVGETqfzSB4Oinh2VqEvaj6groR15LByV86LHQ1QGvcdD9Jvmk6WpxSSituohcDCKuHsgNcYWHXrQvGrbw6bwR7CK2Ai6KxBknw+ThQjT4Nok5FSrrt1KDRCrctxoOqHBVYJwUTyiCFk18wBFt8AfnpN/93f8FL7mTnFH2qGuyPMZGjsg2mWN2tXp0tET3YeOawMINr3Ze4QJGD5tAkz8CIt31yfGhtwhWVNp6iBCbEHCwYQKX2fDymdPbp2/fub26tmp8sBWjNeQSKRvcj7h5pkp750nzaqk17hbSpHBb8/jk+NGjh3FNhAwsbJg7+MjCBm0M4cVPL3X5q6QRzKj4t360GBU+kME1quU5lk7g1RMmNLsaqeUG9g1h5BWqu1wU4LkDqRMf2JX1ShEL/tPLdLteIEklIGML6owPqY9zkQaAj2p3oqUgUFOcZqIW9A3IDW5nhQlW5HjkDWIFgebGbYnqwg8mxHy0ptY4OaPYUOqaUHIp/EYQfKFGoUK1JHorhrgyznq1wbgy3Mo+XYkhSsXRSHwblggX9cB7cUZbvPKXcZGFanekIrCk0brWKKSbn6QttP5kPjK5OakPJMaYGCfFExyltw8++PN//I/+h//wZ3/2rW99My3RN1fG6E7aoRdGlRyRDT5Np7w+1nHyHMjvdXnYdeEGMZOcYy1PZ0fRQ+7NqkrmuBGKKgUmdl7tYP0FTKpu3749ZGkrjSfqtWUypKJdElRr2gvk1G33BGMnttTGp5PzvOGHnIeHh2Uj0icUi7ws9AAAIABJREFUuCxcXwq2JEwBnmBufbB/gEVo6cDb8BAVzahoAYUZ9ijBjMpMp05oeU9P1iQNKsM2S/vncPSkl/YA4d4hPZ21XV1Q90B1UEvLtMYe5gieN5pm9dDPq4Aj+cIrPkNKKec1qkoEB6ISqJyOmmsmciqLyh/czqK263tU5Ez1yd06jhW3qf41AlxwqN18umU1at2NjZywla1VHmEm1CKcSCEqfTOHdoSlfmY8IVqy4dt8OgW3E3NpiJ1UcsLigxnkaEzizbowoqEUgagy5TAlmM4DSxpDTSWID7RHDkNpTeCofcMA981vfvOf/e4/xctYkP7aH/zrcS9iMSu6JV/YUMofqhVsoRdZPXpfYWp9LDTIW7du36V1pMpmQ2SpBmoCNm4uZ0k4uX2oao68DqKe2MqYYmmrB/fv43GrW7dvy9JWSYwemSDczdMKG8yfYAnZ6xYamwgD63neunULF0FfvHgRFcWHjNapZmKE3DHfMcQ9YjwcBhGaUfHVKXuNip6jMpMqXjA9BxPli8ujE5aGQbAVjRRi8oGwbVGUoAbZ2KQBJwjb9uyacTknRAYsxE2TCIvqj8Rd9Zjs69qn9Sh1kuKc2qpTIqlCVBRkYBwUxyUouj03PIMlnHP6CAIEOBSSpEOKPe9zWovKZ6udwU+wvBwT5lOdwcCXpDpj+go92khn+qGCtWi/qRvAE59UqPCmjjBs9GiI/mBjGhW7ov70wKzyGAbcb/VxoAartD0hWxHSuHhGaKqjNyShY5j4V//q93//934PJ36xhkdqvvXNb/7ar/+6Z3zMpHOEUE3crQ/2u9pg7neFuD1048YNPIKNfX3QD7Hy9yefHD379PjVqzlWLl1ZmWxtrV64cP3a8dysM+ox46rgUYtokyeZDoIrKk+fPMXSVliQHdeu+jVhz3AiaUaeXp1D4LSL+P1DGiwaieAnDHtZkMEjWc+fP8c8kl7CzUA5XbHSNxTJdkILpuNO5eXrF/mWHx6mWqY1Puur3/OlmbSEq0LRVM/lOFhIyAGJUtuyPYWyXUkOqJFvkdn/ZMAaKnFGSkurFfworTJKN0Sx2WYYVPFQio6kCPIFmaZWa47C0hRV2LfqpASsI4aeIml+SukN5fkPuTMfiaLsibAEgfeSBLG+na/CJ7XhZBNZrjCbktOdDLIYSuSuv9fosoqJgn4MEkDds2ydiCb1TCJj/3fHM/XZQ3G4CjUbrhDygFygTRNymNwPbm/WWIAO1B7RMBXidNUB27j42Qh7EFisP8ANna9+9Sv/9o/+DZquaiH9B3/wr3/pl38Zb2jRzCEJ4wt3aG+AS0arj53Z2sqqe+bdIWAqc/7CeVq44fp1l5tKYQGqV3/94eEHHyz98Edrr16t4VlnsJ1OsXbk0XSyu7z0w3e27q3fPPMLv3Dx3XeXMeviDVXCPpQcwbXAp0+erPLSVlCCIeyhOLitCYV4X4ns1TYhSNuSfYzIx/acWu5GJg7nzp3HaxNxu/Dq1Wu4rMXLuMsf2AlsJkwPmJahE5rUxdHTUVX4uR+V45Xgr16+3ljb2lw9LXMTatUFr5KgbZk2FKNPs+AD+JpuSFYG9m3riAQAyDohsCXJbzcOJIs1UxgSYdJgbFP/UjFGkP2QtC1usyByImV11Gz/BEFxLIBcCeszhUpOS/OTnH2Q/uzbNNHBYAgfy1NIKbWkvjSNZNGgTKGRjVcTWxT8uZQSt72AMyDXdVOgrooD5GnYYXUXCD62vgyAdqoLcywA5ohL2Clf3JC9o1KbCpDblSrFMfag5ZRj67lBdiFsfCjagJipwXayCQnMrv75P/9n//Hb326W3b9/71vf/Mav/frnm0WtOaEv5IjxBZp03a075WIQhE/uOtbm5ubs8BDXVHILTmJdlRd/9dezr//7Ux99fBo3lIQtVdkEF/Rw+QNzrPWTyf5f756e/GDnL3/w+NrVS1/84rWf+Gzr6QoTiyePn8Dlq9euyd9devqkSLBT1ae91qg7ASCbDu7HTc6DLAUBse50pIq842SSkavO06ura3jDDy4mra2t42boip2SZmCJaE0o4AQtnaCrJ4AL/qSdrFKbmkxwa3JvbxfvTVIrUkc1yKpSmSBkrs7WZlAGJG5yXqQqMWAMXNbrXFodCr/RtFtR2BPMckmVM6wfaf06C/pIAddtXQNN24tzxX4OVvJFp46pw08iF0B8Ww6lV2r5P/vP/ws7O68EgPUCt0qQQAxwjMhtOShxB9ZnsU57qwVdSXNDchouhf6/1LpGg8Dp3mm3pLJWi3oSc/aa5ThlXCJ/wuMiVPfCcWvQnJrtyUN8wp6rxbjUnWOgIZhBlhywGWo8/ichl88CSxQen5zQuRZsvYrx2hUK6JOHaZa0TN2aCpKDBQL+x3/8j374wx/kBLCk+Pvvf1FmBjkZ5HN/4R33DuRwiIwjTU/gXeKExzpBcP2cgnmv6GR5afXoGD3QEjFl6xsb8lQQViL1xCk5Ozj45I//ZPNrf3j26ScbJ3Ncr1uZ4p2DtLa7fpDkNO2XsRjSq1fPvvu9Jy9fnrtzJzdvwM3WJ0+eYKmIS5cv4VFr08vYNor8t/KhiNpzM0wR0Q6HPpbpgEQA/+0WtmIJdK0BYEA0UYMNAEiePr2Nx5cfPqRfG2xtbTVEgowkssyosGY6raFA8yq09iU8RIUX0dAHFWU7y6OHD5dXlrG+fADKB0nkpljnHOBSNGg6JCaqEOzsSVRoj/8cVVWXw5ogq0plYlRk6wnak92EhlhJNTNpbDV7p80R4j/LmnqVbqfEBAwlNHjZThhZSOm15/nISBe2yJwqFlSSRbguLhMsGYiTMsnMMr2kSpzp+yBlPigTkmGI9p6wpMOGH2M3jpM9zQO1o0FDsS2DOPu8U/JyypYSlZfW6U5dLiW0pOG2QafMteeZiLYLJiQCZ4SenDipK5N8x5pJmEhnRc3AxCstW5dLE0P5h47MEyw7HEnlDAo+gtJjIP7Rj370u//0n8gy3DknXu3s4JVzeLtfJIAAyaDk9RfTyiLJ4BBe2g/cj6MciPY/oDnWLDHHwkUUPL+PO57+lOhwd+/FV7964c++vTU7oqkV5lV2asWNjCdWrqrciXB5Pt9/8PCjjz489+67mL35dFEXMIQ1AhC6s2fPNqen0QQLuoidHd59JD9tA6cRTCQIRDaPMjUtHPpYo6SBWdnqcClra+sU5pR4i9HR0QwXFFv4AJh+63eMhdJ5RkU3/pIzKnUEZxf8KvPipUvl3w3Uc1bkugSAJRoQT4RapyHGcRKnrRVcZCjOBNwu3wqoAg65I2zoC3khm4+MHBFDQvO7J6AbfBgNyIQkaRKAieATKZXM0hDEAxmZsVSRHnETNOmX9cjEJ/UpEOsxwRL3C5ilIp+fyrGfdKIj+vY/S1J0uaJUtk+CegJvpJxk0AfV6hBnb5NK0xMdSsKWxv6JvE8lQiEByrLNSxTG3Fci68lByUBRP0lClchJ3TDTD9DwWJiplIk0sSRP7AbLaCfN827IqNsRsDspfOc73/kn//P/tLOz06qFGdj7X/oSLt2YZsIKxqNkoxHB5D40BsrSX8LsEY54jnVEN47CsJw6dRqnYbzUhcM1nR3sv/jKVy9+/wfrxye4w0SXpmR2hbqBw3S5SoYEU3tA4/vqON0TSRwcvXj50YcfXf3Zn11ZNY9kPcfE6tkzzKvwehb/MpXvVTjBMpGCLZ5jJQPH9nwITss5TLJJAhB282WRxy2Oyv384WkBrKlEXL7CahQIC1QeP36Mh9L8aRZfmsKcWK9RgSiuTi1NcakXCe8aVZLzq1evPnn69ObNm7pSa1JMMus5F0CSRYzM0yw7JkNMzGEvW1KxNRO61Pbo5EKQrfL1AoRMGzUlm25o23Ym1sWRrLDVFjFRbRW2SlXfggxRDkgzGsgJPxw9uMcfOvnLRkKU6QIqaoQ8bpQtIUHGHob6baFjAQb+dOl6Basbjcg2x1ECZcJlBSSm1Fq6GQjcSR1g4V9cnFi2v+VOifTO0+kHcRbe4oA0G0kH6La40kuKx2K2JjJ3O2OPvjhJbd1+aog0YWu0WAb2oo+viqJM1/WlXJq8YQ8Em5F5EDD+OEmkMPfCyfvo+Ch39g2kuxwAmVp2xfb1r/+7//1/+xetixUJ0uvXrzAjeffd99gvD12Om3tPpDWJMPHI3irYWQA34fDMO07QWjfEdDrB3br79+6dOXsWtfbp1/7wwnc+2Dg+WZnjVhPfEFxeXlrBFbCV6Qo+eB0DJl0cVMwF6TIK73n8xZhyQhU/P3y5c/fZ09s/8zNY1xSvuzm9vY0LV3yRrBkazuH1frj2RcC5RsN9se2RQd5IjpuY7ohnaSNBqGNfkupVVoPMD7nTe7JxBZFumC5PHj95eHh4sLa1gnWoyJn5Mt6U7N/1o7EAbMXlDG2sefHkMb1tGo+4dXKNhSmcnbQK4aHYcsMgyiwH5LHAxS6jLagSDVVtIc4d2KZC2pAqRCBZJIoUaFHO1GNStzWTKDE0cyuIi31mL4R4D79Yx550cGg/BIgmaYuZe2ffk4Q0iNTokxJtmcIKUgKl++Oj404TrFoClqXIGy1rlULIYYucofxxNmtJDKAmcfocikwXQCxhS9RWvRY0jfhUrFpTKpVD5sYLScIC6MAGNuJFFSItmBq0dZSLu+5cnAqaYsPfF4RNETimiLETdse+EKxzpj2IAqvnm3Ym1RJATs6xcOn4hz/8Aa4Z4Pd0K8t0oWVrcxPzAKxFgD/98SdBqwXcCPvbX/wiPb3ULYitwCRAIauqxio0OwMhWJ5jYWEFBIZqSOoTKVw7wUWUIzzP/vV/v3l4uDKn5brpEStMrdbWljY28Jmur03XVrEsLL19DsrcJbniiSw9+Y7freFmLzr8fP4J4OYnV2/euHLlKj/jZY2lKEMe2YVRAgwhI3sfADm6cdT8wqo01AW5SrqLEJAhXgDHXxRLeImfvUa1srJ69vQ5zIGfPX228+IV5qaoJMxKE2EBcoM2L3jx5MXLl8tLS5cuX9461ecFkabjcn0I/y4es7esQJ5zxZi9fFGboZrug1zk0Rrqona2kMm6UrJinXK5fVOMJPMVavziQl+wUE9IIi+MtrqjtUNG8emyCW0eN2gmnv4EYyLwa02IHIWjQkfERFJsNM1gnDdX0RlzyI7arRjz+InFpt3YkFGOs6uP2y1UQ0EwNZeCc3VG6qQq6IwGJP7AokH02vR4NpxDqbocxY7UALcuaWLGJQZ3O8ekS0o7fxelKlnQjkKCn87t7r7G3Rm8RRgPBj09eIJz2PkLF3/rt//+b//238eCkPid4Le+9S38YBDzrZwN3En8kz/+43/wD3+n4wCVw2vk08mo6+hHIHY6RU4Lt4ghrd1weIS3FspNPTGMOdCpjc3Df/fVjf0DvFeZfjOIDWf3jfWlTcyu1qeYSi4tneDHCBi0Dg7nh/jMpse8Xjw3B/BFoPGKHkxPX8wOlybzZ9/6s9UvfKHhWDJDW1Rc6jcMpI1LsdSgY8FcHLgi010/TEH1rIobfrgH61fDZILlG/Tnfmhj+MkFAooRETNg3MyFnwivxAR7FB0dY2GyV8jf2FjveskqGzWOiNLOirkJFYmQUmv1WIEa8ILdZJFgD0SGuoADTQB9WwPBfSi1IicGsdu02FTpkIMaAS57hAF6fHDbAGLkxPnGZmU7urhFxVaU/mzTtCvmFPKjIhFo7uuvYIk5JWiGTbEkJ20xWWk4otJZyxqucTSuALVNcykMMPYUaB0g3+SjksmEqQGVFv2kaK9ME+MuurZ/kg7RYW7AqXWpi62kLBtlqyaElNF34/rRtgwkqizvwy72Bff10EIWcQXLmiDaSOPk9ODB/bX1dfyoCu8Sxm0+/IYLd2fwFPDOzssXzz/F21rwTMznfuqn3v/iF7/0pS/deecdvEsOjxCBm4Vy37itBik849KjmTiUfIoYt1UemhvVCoOIvK2ebJ+DrPc8ljP/+oPvnvn2f1w7OqGn2vna1TJmV6e3Vk6fXt7epv3m5tL66nQZ64ryuI0zPQKKDSd6unCFhRvmjw4x+To5i2cCppO9/f2DzY3r73zG2cikAAG6dKlGzgYsxlFFdrDR/LEmLhlDhWyYgXHsCzJdi2glKrzLbwmv9jumqRVd+jO3/HDlCiFb5qunOVhMttAycWEVG/zGryv2cZ1qH3HdR4MEW1QTLnFhoQ204c3NrXHJC1ocE64gaXIQ8LecF8l8KCI/Bk+KdswUZG4ndVVpPSI7nj9JswulDXDmMmwmJBDsiu8QDdvUd+piknQ+lSkBQ0ltVcJ+4ROWyaAN1rTxgapyVvuufAXLTB94/KS40H/ZWWTOsQcDvmtxauUcFRd3OlfLxmc7gaKoUao7sGhoiJzFsVLt0NyUDXN1orIFj9rWw+iFR13C4VURqoQ8sfVjUOTk1gWygyz+FsdK3jKEdVArinKTI7cwA9jb3X327JPr12/Qw9eYDRwfabODUTx/LUh4IPtTrFd+coycv/Urv4IPlhX47nc/+Maf/ukHf/7n/kNauHLwJ3/8b//B7/zOqJXp+dMcEl0NmaFSmlvHKidxvo6FXwmuIuI4PD46mn/nO3i7DuY4qHTa8MTV+try5tby9umVU6eX1tcx7YLYZGUfk01Mhyd4CSEOcYC5FQJKsZ5fWl7BBGsPay6czNfnJ3/1p9/4m++/X5hG0PjAozPmCgQCu14AEkkpX0zE2Tg70sYiQYyz5Ml0W4oT5hRv9LOHdBIy1WayWnxVRSRwBQubnxOlKZJ9aUdQ/iEwibYM0eBrbXSg7sOFaQFn1qPgeegMmo6J+KOuWI885ZakaKTBW1RbihUZcvW8tIJQT9DKhtLGpBN4C2Nb3I+51bbflrp6RA7hcjqPLeSdDtlWI/VN0rrJLULWpTxNIE3W2KKYtcZJ7E1tfW1ylySS+Pt2CU/FYnOx6Qea0PKDRSZG3UJ7XGcy9sKKtOFCUx6VSRMs5BaXg6YLdlxojo0/ODJBJJecVsYAsmvAMzZbsvEUFLNqESsUW6eIvXjAFUVuPXrwAJeabtu1FQ5nh1hTOwmFl/NOzlMJ7iRimSh09TPb27/yK7+KDx4fxhzrL7//fbz3+eXLl5D5oz/6N3/3y1/e2mxZyihpqD2T57M81rBH2Lkaate2MchJTme4L3h4iDdD48y89+mz9QcPcanFtAdcgFpexm1B3BykOdbW1jJPsCazGbr20mw2xVr2eAKbz778hLoMibhLiAZyQmszzTHHOjn85OmTBw+u3brtSAT+eGcRaYBOrphiu4vpfxRicKwEN7/1M7GOZ1SRDwYTIZpOeWAc/GSqZ0DA65l7qnGSQLyBQUPB4LHwwGMXEwDJuDoQ0VPXmGge5ag/mtsroeAj4TkSiows2/NdqaRQF1qqBEi4bVPhBV3QEvs92mHSI+ONFwUrZofCxDnDD8NUbhFqVBiJw4qUCi7urAbDYKiGiIcY9s0ru1SCK9oUaAfhZkz9BeFIPKSZwknltVAh2moypd8zT+rQYJMRExS0TXGsJ26o1oW5HwghFGLFR7b1mXy0n7CayTaNNDTYdHYpAo9tDzuu8U4ssEtIkob8D/xhD1F0cHCAF8BdvnIF91rIbd5wUQrNErdgzHHqCw9p8c2ZbSDgUS3coMHP3N57772f/4Vf+Hu/8Ruf/exnoY6fyEH1Jz/3OT5pplC65MVdiV2g+oGDlnkDj4WCTqs5DdlGxjH9rnCGLrrzF3+x8cF3V3FHi2xh5dDlpfW1pa3N5VOnVk5trWxuLOMZLDzejmtd2Gazo4OD48PD49khHsmiB7Pm8+P5Ce5a4XM0Pzmaz2cn84P5fG8+37h0+dqdO2aQCWrIsQEkYiueutxiCsLopp1UinhBYQGcbvbZx9Ixu0Jf4Ncky40/TEsr5kzMHBdQcWFvdP4F5oGH0UE44hEr/Oe9L4icRcWcbY0Jzn2JWp3d4Ah5NPYmmGMytwyFuM4fcCi1JBalFC5Z8e7frLsI5qAiJBmcjnLkjEeiwC61emQd5+vBYkgHPD/BJt0twiwFQ62tPOdBfX61BTqX8LQM2Nwv6m1UStZSiaeGlfAJMXuyliJuHVz3tUwSkOWsCuAKkawN7pZ2RxMi+jfSNhpQk08Z2k4SqdohKX24CeLn4G13uFSgF650GnSCFbQzV7B8dUlvnzmDD9KYluG5K9jFKpo/+3M/h89//d/8tz/60Y9kkFLwJkIhh08EVM4epQXhrQUvRyitXs6V61jHDx/harOSQYj5Q2O6bPSoFa67YC6FD0nSE9bmF4OSxh5avPFPCXExjDJePHpYVVVllqlSVASs1TSDlHZLngXHS4G8V9CgmvAQlXfXrwUlU8zgC4oKw9rmkrFP2RQ6rmUKYHUQRXBBYR8OHjjFfUojMBxcoZqJxYJzNcE12BVDTQK9cxbLnMZpbmmcUJLqyxB3HHPghvhkSEbKKV5BYdNqPkogriIc5Q89tKD2u4FnZh3GPomxqPiS1Qph6k7slWAhdP+weNMpUzEJmj05xRxzxwn4RFZOO8ynnkebfMMl+dEA4/UGFcjGHngIXyJeDcl+GQrOlSTszUnUGq1yCU8L3X/wAM9RJW8FYqp0DrcCO26AErT9vT0szol73+vra7imJTDNPh7D23bHMTRjQkYr9hFifFaLIUc5PsT9PtzxpGGP/7MteoD9+AgXqI4PZ7gMiJ8HonnRtatDuXY1Q4QxT+X5Fl3CwpyLV2ogEJl50X4y2X3xAkjly9jsWuxyjWsYZHvr5vBPpng4z3QpOMCPpbvnqHJa/fJHJ29ocKuKwXGsYyYCxzJ9gg6QBYRdA8jEiKsw1PxMQscJcqXVKRGII5OB7pptCDP1rrq+PFcUn2yBGFaTKeJMX2VgWqwsNCw+czE3kLOoKxSRR1YjMmMt01DHttGfTGOwQ7+iEE9zQmvoqFBbgmKa1c4WtKG6cjdeuDw/RV45GTIoRu2Z2pd9G+keIeCB33klnlgc+02+OL/fhmedbRq/WA/uodt4leT7VYX84vnzV69f37p1S7ufqAFUGjxeVFIFlBHa2Ny8eesWCuX+I8jjdiE/Jh8YhC3dvA5FeZ5LXlKlUwlAL2gEBOzR4SFfleKfuoE3HsbCY+xYiAELVays4OeBS1iXAY+2H82O9vaP9veO9w9OZjOagZkZlp1gTeguIX9OoIUp19H+PgdlUQ1SIj4gMnhkDO+tprrimsBlOtzvCyplAHiqIr28xdUpjMAHMBdrFCWJlGd9SHJw2MvGCT4XdnGKOhS56I0TZUiv1EbC1rlXNEKSmeXI5/CtU+wVIyQlNewotV4kBftkKmBX8jljaafQJvMO5qBa83ORaZ9gUciHbJE+9zjT7eg0jI3aaCQ1xKDqIr7hX64jGwnheNqhtqkKF+WXGuma8Am7WVIexdYV9CgJfxhhMbWVpxGVwDzY+L5EAuVD6xSkyC+pJOMXa0q3LIPkSnGx5OGDB/hlO14SkpSRCM5mh8nSrpmYV12/cQNa+HXhgwcPsKDDT/7k57AwN+HY2vIwe8fMYCxgXDLIJ1gmg9dZAEWqXUyw8CPBg4PJyjKKlo6P8KNCZGNl5OODg6O9PZpjHc6OZzjGVSy6ZEXqdBGLZlqYWtEcC6dI6BrSdm7rhWPEJIbX6rMCz6jQoaQ2QJGWTihVDY3dizkrIALmrDYSPgVB/roCZwNN86wRQ+1DiYXqyPuq7WkFV1HJUbc0v2+CKn3R5HNsYRfWiQF3kJxY0jURNgimfyUFe2YqfidWZEw42VadVhfC0ibHJq8WtVpbJliohFLXzwVQdLhb+Z2L3OEii4mBIwcxQr42oRGwfAjGFeLsgHhDZ+oft60rI1sb9G1P0Na7Lr4tPhZgWOscO2U8s6O+6mrCuYdOghru0fXwBhu8UPjGjRvlV+6g79W8oM0RyqSkZ2Fq9fw5LZSFvyUuXbp0OJvxylgJvzIwnbIXcqbHClTz9TXMjbDkAm4F0vUczJKwcMPBAV1LxGqiNNPCu3MmdMmKnnA/pGkWHnKn2RUuYdF0yk6tJnjCHVOrGV6YQ4PLdOvcOeOhqdEOLadbaDJzLP5lI/lk0OgdyXhav+PQx+R11O5ErEoY+P0avbRC2GCGcoKJG59Evh9+BXs2KuGNLVdoJ0Q4zhIPYBPm4iK/UHwPHE5wFfM31ZZUSsL72iwFF4XhgJFhxacKKLClSwVU+yRfT8ICLqhmDREM9ZFX0WGnBmuHELRHDggrFxAW0+MKBiPnag7ZJ+cY1zTXzbhmElRsC0gU5bM6sbLX3EhJFK26/c4bai0B+OKmWWVkW2emntiZETwquIxeih/00UIMt70VAfIKh5gxdNz0RCZ6eJUJHuTC5ALLll68eIlftDfBOltY+oD7NmKwGJcz04iO3lhxBI6JTi9cxDU9zKHoV3CUSbOkE9wixBURLHaFcC1hgXdadQUTLzx9RZev8I0JlvnxIF2+OprQB5eyMLuaTScAxNRtE2/ZC7pS/aUmS7L6mwzRgE2rRPgzqtZrVJUWgE/wgTuVqhViDNuOrw1RaNSTgSR06+UrKHsi3NqH4LNf1Bp5A7LPVGLeHhyPUKfk4vCJs1AZEpy8M8Ic5TCEvR7mNbqVKGAUfGeOTgb9xzqDz3BqqxvFgjSW8yuUytiXFKBY8h+I+CLn2MH+XhLakC1tOZ1bsmOnHCJD+ozRHahkZNSyGmq2soxh2xz9AWRUTm8ETCZwvmva0YbXWadzARa2xq8FsRBDedkFjQpeQbi9fcb2Hs0OE55jUk/Y43LNixfP6f05c3pB8tWr8ct0scj2hQsXCQjqNS0jtFl5hGEoGuwqFUVMRkakaTizQ9rqtWuH0+kqJuVcjMkU7vrhaha+pkfHeEkOVg3HEQoxx8Kz7fJ0Oy5fyfUqml3xHcYjLGEqs6vp5AjX9JaXLjZMO8XxAAAgAElEQVSmvAP5N52lGZW+ggbFxJU+TcnhORSwMc6UNvAxowa+NyRqQ4yVqo8ZYUjjabEkDCvjAzHZPL/KnUaCtjj+4+CHfrmKZt/eAHkE1RltqbAOxcAEeQIXA1JrHQCKosq4svEUwfzC0gRLWpsd6tkvqHKu2/lgHdPDQiTssiapJWFdmPLGFWZORsTGzj3KWm+7tM0rnF7t2MEusXysFB+P79RCLPit0VbXQgxVxoMWYpjP8ci59tBWRbwkBxecTKuz0joqIkNaonzjEDOqly9eYE6xvLKMeZWZQllF/1uuY1HOsDmQj5lMy2BX47KMiQIi8kmt07dv319fX93dRV0iFBwcvMwFKSxTgCeUqIqRyQ/C0/oM9IiVfe6KLlzR5SueWmGPa1dL0308e7W8hLfrXP/sTzRdqOff1CUmdI0KD9BzY0SwaToVP0e1uDMZtw+aayYjmSQcZfqVEhXJoQgw/vhDotAewj/J2WXKeQWNRxKuwBsXURSXOrlyyoQ9gV/Wqy3tiQ8+2Nr8cuAiXEuqVk4rl+GHjszUSMQyV5YhT0MEOauHteRq5NiQsdu3hfh24gmWGTMwdlD7JO/4/9BI+SYl3at9dqCBYXiJVyY0pqX9yYF1S/pYB9CmG28kp8zQDBuoORoMxbeyhg2JVO5iXAADZtQfnZuitEdxShwEoHhHlzTG6AJphkAu4+MHbQ8fPrhw8SLeJ5iGyORiqoQXt6GQhwkzSkSDBYpwExAvw0Ezxm8GL166WHjfi9rBAvGaBiANEwsLUAaffWISXGeQkspSXukE3si4f+fWxve+z1Gn3xIuoXJR01T/0gZoSMKVIvyjJ674kXZ+mH2CCdZMbwtOJwc8uzpcQcCWL7733qnT9Iri5pbh3xSknOaMaumEn6NKi1NuJ/w8TLZkCH7cMHhsRJRNZZkvaqCL62BshGxmPRxYwA2PPBUcOhx1sqj4dS28szcCW6gCrjVXQZ1oqHABvzNjpyAtSMYCbU2uuJjSEQSKOV3Nj1tyEbm+UPHrVXKS9Je038xte8dfjTzC5fTeXL5l1MEiD8N0/uLeRQD9/17Jm/XDlpfqVZLzGSb1fCNjEyTNsJHT6UXgzSuxa+Kd6f1cb2/Xq2wVv3j+4vXu6xs3b4Y/U82Ejdqj2eDb7uvX589f4D4ce4eVf/GGHPzGEKWnTp2+di2+CWhh0t9r4eoPZGIxA6iYB76MhnCDIiUVFvuUphrl3rt3d/sXf+nVD344neFe3xyjEm6wAYkHIT6TcJ+mq0bzydHKxny2Z38qSE+1z/A7Sly4kmtXy0t7K0tLKyvLq6s/+fkvcJwja+ZQ+KcEMHDgE1yjap1RNW0Q8oLjT0a7m8A9Vvzx6U5OUnMpBxh+cdN0bivd+TeZejnUEtW1N1EFI/P3XEGSq8ZUMQzJJpmyD8U7HzGIhquzelFBepYZIspsPddS/TFrRk100srCZQqGxCdcaNQOjtxm7EHG6sDsYsC7mNa6ASEDaq7jLDTowbR0YCxYvemzNE06z8Az/jLJMcwxBg1Go4ElgLL4dqggAWFAe/s/gZTKKjahlELHPLQf7giBmizEgOsi+LVgUKAH/nQKmXAqbIh4LF0zpOviJiAersKVLdzjO3vmLBZqV7D6BKCAEMtLcOPc/semTZq6gh9mDjHQzq1bt09u3PzOt7+9+8EHuDqFh7FwgUguYtHZBRs95UQp/H/2ud/c/s5XcYjbgnpzEHNS3BbcW17axcoOqyt4o/aF937ixmfeLbsK/hQ3LPJAd/1c9HDXr8eMKmFL2mizGSVE+2ZVXaqkeqM64v+404opaKU9CRFV9IK2EUJkuxxBsYc+W07D/0W5sGh8bjzS7xbkgsAuKEQKLs3HuQC/bJY9CfRsYQaTY+Twe4Il1BSzNkTsmri3wieABOhis2A87rDxcYKArRKjzV0pVzcVcAkLbzIrYmgHCaJgL0r548SbpDaOLeMFnRxlo3oTr43vg/2rbfHjODTZ2dnBC5ivX7/uL8RgWyXZIIe0O2aM4gXHKAFzvF5w59UOErhjePnylaqLYRlMZONHhXhCq1Hu/ppvFFVk2JGC6ov/J5yDzxAbXJVw//Zv/eZffvjhmZ1XeEej/KLQXEYXGrQWA7Wlw2//37MlvJCPJ1i0IoO5fIXZ1euV5RlmV2urq1unfv7Lv+FXU+itXKMyM6qVddiZL53geQnTMEPhwUdVc6D+VlApiY6g7bKmURaNm0ofo5azdpIu5KQD1yCkI01OwXbKhbkwYoioKskn2xQ54frdol3IhnBQgfCHa3jmgZzD/F4dHATsKdsYJfqCJzUkqV5YUwEY7OKYiqTKuDB+BosyRxgtGbt9Z9tQUpL5GgmpDFslRTXCWlyIHdNWEk7UpVQJAzrVBk058EWONQcJFXb6/ymkyC/axDcMFrbaEi6K5JD9YoME6jKgoUU9evQI9+Bu3qQl1LnypOq4R1V7gJuAr3Ze4vXPmE/gdYQ3btw0BqoRcoL7+3tnzpxtlqLDd+gOUavkqmsPsdZw03yXnPNXrl7+nX/48F/+y9OHR1jqHnMsmMZ1LGpL/PcHHMFLoNfWtuYvd7DQhf3N4JSeu8K1q+Wlw9VlXLvCm6F/5st/79LVq57xYEZFPQ6/gbEv9Vui3y+iHnCRw9MYNdmtFrqbFnzRoyEe2+jOdGpIvVxgJTMmRgCoHfZpmGuIifTnCH2sQ4l5ZxPsstUy1ZejNHq1Jg1ZMsnCbpmAkg2OgTzzD2qzG1y7tASQu/NC+rPggweZkPMcO6X5PsXEBCvdwH2lQWnpIaERjncQDK6JIKeLUcyT8RPtLhrdZUMP2vRNI+Mvqg0znSp62M1CG4NUedF8SiGZx04RWYGzoPRN9yXscVJ3YCZMjjgUZMjM9/cPnmAhhsuXN+jmXR9/8E6bT589w+3F5ZUV3F6U5deNuZHOW7g/aNZwb7hBPT8XJh7+uPLYL67DPh7m8Btkyhmf+Zu/uPvy5dOvfe3U7GhtPsGDQvQwFrWw+dm1rZvbm0dffP+H3/jG9ecvtv/2F/70u9/bffEcj17t48m2pekRHrtaWV3G+xk///5P/Pwv4JYf3fgzFRbMqJIcSlFKKnTMHB9fTlOm4wGe6s3mdSRXJy4msm2pDqRNyrY+alHm9AUVY7pNub3cRmk0wKZJNiHUm4Uuh7sej5rsstFy5S2pkXpc2srAKIlrgAZOyi+/rS6oIgysC3La0f65dB2KK06dTWElJlipgKRUu+XZbsNDgPAiAEpRHbjibrBp6aLLaZXOuVnGdDaQzZtcZKWt7Fv47sGJfRMHXZUxjgWz38YfF4y34GAPk7blgLdplE+fPsW6ALdv3+mKhlMdnljHi5kBhKsuV/mJdcy0kBNBsSWyGOV3OsQv60rdiKtLzr7GDH2Z4W+QYWE50jQRLvzsl/7OX2xs/vXv/96pvX1cx5I5FoaNz50/8//e+/j0//OVlycnj+HON7/5hf/qv/zD//P/2MFKFlgkAdet8Ajb5ubn/u6Xfupv/fJ86RhLJ+g1qtpIjuRF1pythVJNZZVp6DSFjAOQZsUhT4SaRQqMokKpimUTZII7SFYiW2AdSAnAO9AKgL0RNKXRO89Gjoz1BmlTJGT0OGuLD2BPK00TbUDpclYP8NNy/XOFaq0Jv3HWuab4oOjC0p9vSrOOSUqzLc82HGWeDFQ8waJGbjXbLFSU2/7EHZLbstAZ00YFjUWImL5pPSQT4tW44RsRLRGF1gGG3aOdDHXMpkGpkaGW3kA9DzHBY4KJATnh5ht0hNt5uJd36fLlzc0OT53jMtXTp0+gi/fgnT1z5vz58xoNJHZ3dzHZ8nMkPbzfwW4TVi5oiGtsIl9VCeVuWejZySGmGwoPtT/9a7929vq1b33lKyf37m1gATD8rnB55fX7n5/+X/c+PjnG0uwvJ3iPzv4f/a//4ng6fbK8fPvXp6+/v3z6wo1f+q3fvvHOZ8hiKhg1TMbyArZysa43gXgazl2GTbE7Sl3kIiajQQ8TfkzIN9Pu6UGCePjkjt3DhA1Zjrufz3SG9z0fMkybukYm3JFKDAUGHgmktJMFwBO7FlhpouxdP18Uf6FeCLeuzamTvNaFegSj8QTL7wB94sWtGzvuHdINCWYobB8qi9Ex7cmAOw8XY23xqFRXakXmwXzIFWjKnICRbGQoQjPRqY021Wty6k1I7QFT3DOt1IuAmsPFp93d17du3052GxXTBJYPxbuWwQQ3AfFOwOzj1fN5csF3WKn3Qo36CSz7hEMCwV4qDu55fR1HA0345pLp4V4o7PXbdy79d//99771ze99/euHjx9f3tr8q2//h4f4deHy9AmverWLwWt55e+8996Te/dmd6//jS9//id/8RfX1vB8/NDN96JLS+9g1zcRqVEf5AEUpr3ai6TaDwsmhsD6hgsmfLEojUZoTw+2H6Y6oGiRCWnMEUr+sHOVNS7IweKwzdSggIwV7QIlZ8LGtiA8sCgeQ2QkHQjK6uIFNY9hLb/ARQMVe+Hp+ARU3itvSaqK4IQTrK5t2W+JEmhu3cUmPu4lsoS3hdglpFuypKuIELnlwoenZFt0f9yLqfbgnxnB6I/I0nyxv7f9NYdHUGdUgCL3HBeXiqzgUtCDB/e3T2/TE+ht27Nnzw7w7prJZGNz49r169o8cnq7e7vnL1xIlnrckuXJTGqf0mv3dunOoxDI+YbSUXtHgtKIJlZXV37683/j2s9d/eiD+59+fH/6o7/av3hh9vo1Hqw6mJ+cP3fu1mc/e/n993/z+OTKzZtYmCHBppiVi5KE8c0EiqcW8oQcdUZEj/pggVnRo6gwWRcy7keSvQ+TJiI0Hmd42Of7ZeRilw3SwrmrYr0RibjWeCU//+wHiqYqyWq2BtVEPbdukojtgudYVAuLNCG1vPAab46EcqqA+Y7tM1dBhNP6smenbMdxGc1NY6psiQ5F/7j2s0ZOD2jE7CTokF/iW3a4y/ahkb0ZDY6HAxkT4JpMp/hLPW2a6lG/TZDF52iXkD4iBqUOvc5S5QxWTnj54vm16zeiS1Awoe0Kt/+effLJ7OgIr2O5wFu9i7nn0BnBmcgDysgjLRQemfaJlbQuXEzP2yIoLyBRyWiHfqw6gaL74dkpHr5Fb7pysnX51DuXf/Uzk1+dvLe+/rOvXx0cHOJK4dlzZx9+fPfLn3nn/vY2Xv3sW6mqZl8hk+7tRQbPZZueKH1R/t6UWhmLujNlJtzadFFCDWhUQ9L7AhNsRliglKwZB3sabpoQ8HH3sCJnuRqWUnuIpnAzDuYJmZHXdD8c1RjJwxVKxMQ4c6AMT+NFgcTQIq1xAJkID4WM9QnWjKZsYhFOxS971kpPzzTY2Zjnj90xgla3pBC3edOExHM3a9JI5NzLNL2c+JvOt74Zu3CMPVK3NBESy2SHQt2OyPDCguXNqGikC/tIV2fmDx88xP27m7duJz3Ei2tev36F1oV33F0s3ARMKtvMGS+CZY/ibzjgn6iomIcAE0JyL/LRIGBaePbsuRgufdwwkRYblJtm2YCMXkGD+b5Z3pObbyT+4dHRT9+58/R7f7G3vn7lytWfW107fL5zvLnVtZoj2MJhojoK0vki0xn5C5hM2A010IsrPQ/Vr8R3BLaWprWrjHYwx02X5MXBsCt2wMmLCvBCYyW1khyuXJOU63DCs9rNsJXSXQNsYaYg0mA5wibE+kyzfGpJghE7yNeIRVpVh1rjkJZ0lVq90EJAA/MrqE/5kwbf1LwkVvbbyo4XweoWaU13/m5wtbNFQXIEWNCT9pItRhfYplosp4u5T0jHIAHUXuxbWo/ru97tDEhr9jjhstUIvgQoHip5umGrB62MYgFcAXr8+NG1a9ejJ9AxmuN6CUph8fTp0ziv183dY3w9Xl0r38miSoRR7MkZOGmHgLJvkHNvelZjmQQgF3qWsmaplmzafPO6CSey7gKyogXTY+lQGS94+eH9B9sry1d2j7a2Nu/u7x/j/dCz2Wy1HNIQpeNRv1hJLYopILBf8ZDqE+lnxUdoTZMJHuFxB7y+qRRgyUc7GTADDjtKrVc8LigPKBJHuG8MQCmqSjuUbqi+uMY5hnfOhGkejpAz5PLiFAc/zkwc2xppGAlkaTRAhvGrxr6vzvKLrHQhb6qDaHZlyGy5T1offf5hemxHaCV3IdwYAHq5EbKNj8ZmH+PTsbQ9PRvDi4Znnlo/J/tpeWaHJrm1mEv9rgIrUSP2wIpyKnEWLIbGohs1Ua8aLV/7DTm+3Nuv7+FHfzjr3LnzjprDYgovX7yYHWHB8OXz58+5p6Z8TipdncAYgflAKE4NVRxl8rzr3k0ODw87zfxghkbVfkNV6ED+iGqHFqOCf+Yvdp5RzbGmgldxef1mCQL1cuvUk9e7J08/kdIjPHv1BuZY5EkpXFSD2jYkrB1j+wZqRDoQ3pPTu965qVJPAwJXYaIeyRH5W71ZfyPliCMLasDSGcGUHWmp94EOSRRhMRHHInSNvO8IgYWjisxXhIDsiwbbCqU5hCbadLqVK0mfeTuEUqKQVYTNdtuxWpd9yN1UcgWDdp/erARFEK2HjdJpQ2a43tm4QWe4kz26RINFbQZ7Ju6RijhGLtimUAWU9/kN+FLJFHXHDrJD8DPBOZFV5X5GCKfmRw8fXrx0ES+rgQgewHr96hVOD1ixHZOqxB/6w+YlmLfhFc5yJqawk4dUn7FX3a3ITwgzXqazdcBKF/fOnWK5CO8aFVb8nfSfUSVZTLdwD5d+WIANp3qaYx3OZi2XBkW8554qKKwUaqrSXrlIBHqiWzXUiMxg4vZgBUb5Bnj9ycO4SQ2V7m+YpprqmT43Eau34uvWp6UBD7fCow51R+ujo0AVEda7KxsvRVa6VEqlZYFVYfQU02Jl3KHGNvbW1jBGsaf1DjRJl2D7UjLI0i5KBlrKMMFCRSz8bw7Doq+3nhP/H3vv2iXJbluJdmVVH9my3rJ0Pcv+4v//m67HazyWlz1Xth4eWe6qyrobAMlgRPBNkMHs03lOV0XwAWxsgCAyMirSvIniFg4hkWmjKbbebL8nqeuwm/i4drKQxEuxKLtvE/ymSXFcXT1c+G4SXC0li9z4MAw43LrJske0JA5qbFfw93/wZ3/4078//OEPeMw6vh7rRz/6sTwONDheGnnhVXgfAYmJZMMTfV3gX/7lX9I+JS0iMfSz1GY7N/A1z7Yr8Tu2WBJTpMuHxw9Mh5HGTHzq94xvavauURED/oSs9NyAX/wQX5OzvajGwhPcB9dYEqh0+QeaJftK1G5AFI5MaZILj05NgC/mnN1C7Ryx+I1hYiyrO4/NoCAtHVfLMtJtt9hSC07MFxk8VwSExQgNo20ZocV5E8LJNhuxYkvYWkusT5FtW+i3o0swyak+PuGIMliarahmvoI1fhmwfrisCqUkbZnkJpo3UVGDYIv9ong3Jzr46g4OYimnAMX4kCwU6LUG1I6faj4talEIO124hiCH2sqgFkYYoPzP//kP9/c7vrXmt7/9/3B7OP4WsEwDjUosN0jGABhASNhIf+Wj/XCPV1Rp5ebUdtsysEmqjcEIeQJuvL8/bc/xvOFPSu54BFdoLMvNaolpj7XfTu+9B9VY5EupNmRNsi+3OI7h626n+Bmck8VbooXMtG/qqN0tzn5DWBSthW5RCQHGlpwWNpOYhRsb8MgkJGubnROI2ruclmY3GDOZjZg3jRZOZDEqYu2wzakosXNoJDtDhmrZVkQi9Ue4oD8nqeIrIqegOa0G0CmXyU+RxvswrYWErwN6ZULdnICYdFOjeDIPL7YTChgqggRGtqx5guisbUSUNrO113qSTDUvY2TETh0zCjn4p3/6X//7n/4JgN7f336IP0PjOsPizP8mS6xh7E52Kbegi3rl50kSHkYa+NjxNEwaIIMjJdLtNeODTnzDsddQcUhoufL1HeCOWRC6399vr/L/HY9RwNfX3F+e75/lf3wjTXaFlttSAX0/1NVY++a6M7s82aGyttiV/p46wRaAHq3FpSCYyu5mO+vYKh0N+YWRXCoxNI608P9+p91UqMtEdSQB+bMSx4iEs5bE+LYuiTeAL5wukOSnMbNgJlyOUQ2ucSrOB2e1ouXc3thiE68/nWOXsmWDLb6c/LEETwhDbC7+ipAq+li3ZruvhSEiIEix/HO99VjqZ3SbBfwOcFwYrQ8aSUYKSFo5Bm4J6siYSHMcSKqnwI7UdOmzIUcuJYGM0Id50uJ35uWXjshdkhE5uJ8d/6PcwdMNfvObf36/31+/fPn5z3+BZ1/hr/zeXt9+9OMfoxLCIxsOT8Mib5okLpfjaGmXYvv0KfcnhEdJhcJ///vf/+QnPz1ODp2HsR5NQEbA9xrS1yTjhXjFPemopULyKtpgC9JfoUUVcr2hpsaqueedbaSg5XUKIuzyDDNllE2wBZpICxcGSSye/clDEeUqEJZpjaXWsa4Rv48OADKK7JTIJQI3C5Pk7DrN7F2bfyLuIMYkzfl9esfGQTAosmp8mAKpQTlN5OUf01IrM4HEB1wrdht/TFZ+j1EOW9AqIbd1Kx4JBtrZE+YaffRXhDYgFSEcRJHJhMX+E2R5dAcx3mlwLkXJLdjjzVQ5DCkxS5u6zD/+FRpaigGBYqfb36VTR47jADYK2EYXaSmUHJCpASqQC2Le6MHtUHjhyQs4x7NDcYc7voYZT63ER8yot15fv/zp//7f//7y36ix3t/e8Td6L58//9UPf/j5O/pOYXzPIKekOshf/vtL3YR4evXlAMn5wlgN0R/3T+8fN5MAsW3w0xN6KyofoRwj5XkBfe5XaEGZgKc2pP+ukOyUCDY5mKkqjxuGSbZEdj4FM6wI2cLDinIOZhPFp2SnFfWJMuRpLprCWiwSld+DSItYauK5GvmJnKCEjc/s+FYgopdI4yPo8SVl1QZhxxopRMqyTUxCtl0AkwmnhePblZWTHeBswUg5zk5pGVCWMeQmdz0DJXMJ3g0BjorKvayd6aiakCMcQq+cMsmLllwan5tcfqAuMKQaTtt8dR7g3hJSvFJ3avBx+mYAxcCMV8tWgQKFvpX55z8DRtzIjGc04DttABbPFMUfGP7VX/0VBqAI+8///OOf8SXD/Ekfai9c4sLlrh//5Ce4swrbevZBCd/9oPqb8ihBZNzzCeUgVG9E50iGP+UalQxE1KKiesLXJtf4Nack3A+QCIJyqGEpudbD3xUiLdAM0koW2t85Kbl+0CUB3WtObj4pOu1JQXTGUuoTZx5F84Bjo4gq1xJUXdgosArNScj0DeGwPRol5lgeEpK6umTFZMw5QivWyOElMYYliwNhr3h+9UAt7yQUExmycLyQFoaMpTz53JKQGexytrDCZh8EZVc0Nt66YTS4zMXOp8ZYjo61F0At5wZBmN3kChQGhrDvXQBIuTignCICPe3yMZTXMOdQvCpbIfmtzlDfgD3ejhjYC8qcxRGcJto8beOXTMUX4PyMHn71cxn9X3/6E/7G8O39Daf4dmG0uzviefYn1Fv4qBHHeEo7LnfhkVpYBfgePXybIS56+R8yohI6Icg3EDZvlH8szdB1bvRm4PDjjudRmXoAFyvgCdyZvr9GRYXc2M+J9pAGnuEO/NfPLy9fXt++ozeQ47YloT3AW84ftcbDhIAWuhZAzmVpZGXWUghJlOIyPaioFnB6PJvDUV1DlM1LtMlkLQWAyeawxrTdpb2bpWQFzzK/kotUAqFUSXTcBN7IJrYIwUY4+PgcC+cWAV1uqIkTVlMSMyJf8WdVgcWXMmA07GOGrPPlNIHKTEiMOHTFmD0MG3TqX50S5zOeDRTtUIqviLBIs6JiEiU5mn+aCLTGlesvHgk1VrqyGb64uAraPGSkjLFrLmHAX+Kp4T+kp2ThhYtYeLjDGx4WSpXY009/9rO/+Iu/8AfIMBmJW6Og7st//zeufuG+IEzAKV5WpxsbPRBUGJ+e9fpKxZ//omtUN37Cp1maEIGKKvMFKaRo8J0lAAmj0ub4hhQec2KiseQWWrH08x0XFdWf3SAuIVXbK+ugbWjHEWvBfJdL6YANDWGKKEL1f/40+TB2ljmkNh0JsvliFK+2xswhHKUVHRhoOJV00pPerLFkpkgLwrDmhMZUBALHUVCBbbSKKvKVnZr/jdgVtxot+Rm7EUFDWeZu2HbCahAD0iJKt94BRy7eYgWWMMDp0KiHUZK+/MYyaBAWpGQ/u2DIfoLSmTVVxFFsy3pOiFeAWiKiZEwCZaiLY8z4g8TzYq7Z9J3QFnBlgeBUtB+Y+OYlZYCytZ1LC5vTr371K4EF2f/+7//+u9/9jk8/8DHij3/8EycfI3/5y18eDMBzsPBcU9xTjy5UZofeBKEQ61bsYRZOoQsVxv22lVnkVXxloi0mz1OubUmbU4KNHAu+KJ7sgj1Ng/V4+mhdjZXwwUm+39BvkS/tcMxRjDayVJKVMfowruA0EUX+bJafqX788c3HzNuuVmBjjRsEBiWp7hcrGlIr+NCkMCokGROtZymKZa4vLXHMoUC5PDmNgyUmpYRUejtM48otimkjIbYPEln5hkCOZMDWascX/o5N3PRaioX2JHWFOqPDkIFJC+6O5SHuHaCYDqiMNgY5KralQ0tJYRAw3ZsrH9LUGpq5oqIJxDOXU8a5npBiFxQP9IRPPWRr3YpKp59OYFifVEJBI69bFE//9q//iiDEWnp+fvnrv/7r86fVKMLwgl585vjvv/0tPj389a9/fR5WAgyf992fqKLCNYkv73/GkxTw6ISzZ0tE+WMkLwxNPaIOKgoXrIwnXsEz+xdz8aL2gnjc1VgF40Vdw09AqrIooYKtNDkKhhpjeQLO8FtLUQIDuvosKuWavUpbEenjVxpVcy9kE3FsV7OQkomkiDXxwXEGQ6BGtrWUpaMUmc+t8WDoEC76rAAyiEwCZunwfu9sOsQAACAASURBVG7Z1mu0h64T885T7Sjz2w0gHx36Ok7PosA8VIgjgj7q0Gan0kKlpUuPaSBzzijsSIXfAbfoK4zHGWpncRl+iqlDrT0RNlcb+dPYS+shxH0tQjUDKLKbLpedELsG8q14l0KKrTVww/nATVQ6gEZW5IonyH17e/23f/u3jzs96QD10y9/+YvPn79Du+NR7uJCbfSv//avGIaPGd19XVFYt4/3T/ic0ciAY2933Hr19J+//92vfvH/3Mw7pejs8o4BPgor5zTHn/6E+6mVfUu/TB605sdn2B7HNdzxHX9f4cjv0hGtXdSZQIYksdUzwNrkfncpclIKDliRCzpMSKEqkLcNke1NJJLBnBm27kFHTC2nINE8SA0J58Qg95LwxQyriiHYE43fEKidVM+wyO/Won0M7M9opnNta7hApEnpZyBKLVAhjgBY0lWeWEIAiH+0h4TgMQ3mfWFookabt8+dfaGhwMiAkXIxwCRlygUmfWP58qCh+vemTFRFASLmsVL2cr36Y0TXS9gTMOpM1oOsQDKVfBvEejRoFKCAXHw53t/8zd8IKlRRuFyFhz4AD563jjrsxz/+scxBuP6Pv/kfOP7zn//8z//8zzj9yU9+Ipe40Ig/9MOd6U467ky/fXxG68HYP/3pT/ho0g1TOehMN+UY4DrKTdYmCmQbzdJofHuw2SmItbsBfAAFE75LR3QCtm/RHsjxjG0loyXDRwL5OEvOqxSFRZjWDIlwDluE0ZmRSS3UyWuXDgAeLzryXmiRAecub5TCocgvd1ObSrFFXPx1WAQektQZ92LM0bVBBiXwqWs7cgNFAjqKRLlp9QeCNhh4AVgR+QmLY/dgRSQ1NQ/lyCunDDgvTw3RHPX6EG17xtla6BHfSyCXhfNezumMjZpgwElxpoEiX+wlcDDVxnIWqx2YUaDQDVRelXAQiLIJHxdKI4zBJ4n/8i//ggPA+8EPvvvZz3+BP1rE/Vh/+7d/i4dR/cfvf/sf//LbT7dPv/71r16evjt/6sd0HEzHc7syd68fIJWcItC8dVQyo2WMhLH4mFwLGedoPpjboofq0iVqLFq/kj8oAMTgJoNoEubT6ojyE+xAY7A9hUKAStCmxp37yLXmRebGscogGdCiyGop/w1d6oo8c8k7Doy0+y2uS/FgGntOkQ8ejZ7Ffk/keKNnO9qGctxIB+ci9NizbZDa0c4ia8cZlgnm5Ko7YBpVYFkyKI8cVDafsnliI2Qerk41S22YCAzWKPu7QUrJFLtiSQ0RaTc9PbVOkgmeElQ9YzLxwAYDE1HMBkv4OJRVqiEso65K3H6wD6mQO4D5Eb8gCdj+/Ppf//J//jf+JvF2e/7uB59/9pNf/PKnv/r0U3wxzftv/89vcdELj+DC07l8E3B8KH383j3ArjME2gj2iCjZcxk3cUgW8XLyCe3CHp48v8Yi2yiSrX04ofUrdnZaa6bL6hjhqTOJFHsFCwpjZC5BbIpOo4inn2Eotgi6EqNSSp3BcXN1FKVAbH3Dde3t7WVvA74/8taHLBlRS9aZ+NqPP54VDTpMMtThxlbEuedNJ2u36rzJboDXZg41CyyPk7Oi6hYGvSEHyyzfKXEHJHmUm8OobZIM93a0cjKW+WQe2bwzs0O0P3WETF9+5thzFq0aoIGb2d7NYBWIKkLEmLQouMkzKmo+feRnv4IGg/7i9hd/++u/E9PxHIff/+53v339d1CAvwrkO7p+jY8Of/Ob3+ACFT5VRGFm5BqyzBmqsai+vo5Co9JKaAGbigpHHM34sWcTZ8TeoTUtt6l3Uo1Fq1icRNHduoT3HCXtLfQULba+F9livLmD5ySTtRopS4SUrKk+g2g2dAn+CuTWYGKheNpko2hRVaDLEGktPgb0NKOcohTlW4Dv4jNi2zbaH4CZ0AV77/iGCzY3K+s8wIlWKLDO0j24yU5vHAMSVJhC2ZZnlk5HyZl4gJ6np+PQYXHkdQiTqTbjQSLHz3mToZ5uNSRAR0o3FN56TI4mVHVurlUv+0FTxlfhy6+oIBCPTniK/K0fntn0139tHgCBmok+SfzNb2Au/tIQHyCi/EKl9fx8w1NO8dR4LH5DHD+joZaV8vGSaJyuwomUiw19PLWA/zZFhXj8YUNqLFNRQY/YC+vFfvpJZBg2fCA0+HDec1pCIPyCz6N7tNBclkAuti+oxsueaf6GWAp1iBwj32EV/KQrocjaLHiaDS7S5ZD1HLCmLgKdyRCVYMbEPb9NSg7rsUbmGhgMLBAYCa9sAetQBEbz/kQD8GVocq0MkY7/0uY7ie5ARONnY4EVgOZk2wOCFUkibOxm8amcKhFv1chvWof6d6JE4O9VF55Z18E2WC5xaKMxai+NLJQfGFYxtTaAAtpCTbJCrcn4TRHBVldgCwnWb+sEBALhYdyZ7q5RkbXxiiphAIoq3O2OF8bgHvk///m/fv+HP4A0fEHiP/7jP+LOrR/96Mc//8XPccs86MWzTxOiFLpsjCZE2dCmIeTeiq/t2aQSgekdbhvbdaRSY3GBYTIYkFNYh19iFkiJDQhPa2gVTaQmoosWY6SrRJ2sZRlpdHVIK9HIppBBcwJDfLTTZW0WVhVdKAQ6AwvZaBgWMCotxZkM58rk9Hivt1qXN7fu0ALbOSstIuY8Sl52IdPy8MeJ2yFXrnEicxxqDDMxobmuwPKVJ4QeuhgFW0ELsvrq1EHajNM2O0/I3Ns8sttzXY14kFcznDDUjre4+/IvSzGrkxDwP7sQDpjQ12CXxVn1m6gPv6Id4eGBVsS0X1FhxI0qqv1X0ATmVTTh88Ef/hDfMU1Pz8ILxdYf//iff/jDH/7hH/5fPPrh7/7ub3/6059K16Cf5KpT3WNWNKvkNNzPJclCtJx1jbCrocbaVVRm53FWu4MgWFoEc+yS5RbThfbav4fAFDEJkkW4s5BOufvQ7gYoHszUBdhiNSkdaZvIhq6RSowT0ro2L2N4NxpPF4kzCMb88nRVK9qsDu4RJvANblZE2Qk538t4aaUkIl9gpWUEeTMlIWHxyikjqEFeUIl2Yzcum4tAqwnSoOMqcRfCKhyWUk64U/2BPhej6JMQLDQZXBWODGitbAJI8UetdWc9UlFRUcUvWmn41MWrqIiQfjVnxbYFT8zC/3ia/N///d9/+fLlj3/843Zvlh2j/BtGyhs4axfI5EN7rqoPsp2/VAUfhZXUWBzeZCb+sc2H969HmYnzaXYR2giHuBqK2/sSIKWLraZDyMErNZ675/iL0IRq/RS84r6gyXPsEoYv0eVbXUxV6cAL7UpDFKsBTxBGB4cCnxI+kiFV4JTn6b/UC7140GjklZ7qTzLlFCmjcgpdRnG5CF9c03GGrJjMRoRUithyikQbm420RqFBjElZyc6guO7GbU2S2bkY7VbXKcAR5A5qBeIdwgf+pmRfUR2/JtkXmt6Q/JHdx7gZ6/xtPL1SHVNmVcsv+tQPrm9cZZWYoGWOrkCNZXMZIIOJ0ycClZbsh0+zi8BXcWhXNTkfMytjuE7XnpPaM6OLcdbOPYy3RlNz0GRpnBOK03SJ1fIzaPWBpc7TaXaJE2N2SbuM6bKa06NUVpBpk6PcrBWmaldguewaHsutdNmLyzf83pVT1LsJgG5TZlH72Be+3O256lFAG8xiYF7mFTMrs1Cxov3A01WlBuh7iXVnZDZ5nHIQ/1AyuyvKGU/wR5Ad6MJaKNRYXVHtcQBAua791JazXl17vmzGABJiizv9Ef5xC9ryOVUuKxd7HomweP388oLvhP5MH+xC71Ajp9kltiTCg3zNL7K322oRkFAnulR+9uhyVpcbfYHLGJwKV06IM/zg6vVd5kwoOXDWOXtllmsvEVI4xskUXe50m84rjAqsRE6x2yvNsuUULchNygpHNlmksFRB9s0Wc6dVi3sbLGr7e9+rfmZiBVUCWQ2lZPYg3VpruxMeXI0v8kNdBTJJFLZcfL2N96lfLcmBlVYrong8dFXQeGJK3A1t4uY0cvBSoavYhNjAOtNiUnbtxn5nNTrJ5Ken98+ff4APXH/wg93wMScD7IoCFYc6r+EAL7FauqIzmzommwZbSqwQk8WgkvFn02VWobrz9KoWRV3G17K4KZkHXorqAtL3TdBlIEXA7Ic3njl3izoxsFFW2TTHIYbv1IHyp0/4OjNziQLdVFfQ1kqCZWNt3l6bJ5JuxVc4ro4KbIUmuyxhL5t3lKN6ThDgj5FYPIdDDSk0di9gfpTLFmzekuZrVKaiYoOx7p9v9xapMYhzcrFo3y1pH1DIIJd94GhQEp3ry/GOMX62aTYdeShKDo/Gs+GyugNW03Ws7777jOtY47+vEOiJdmQcwnjEWWJbxRjrbzzThz7l5VfF9PqhxjRM9FZcvZiiGaQLGTJUZlm7SY4MK5KYHAQ5QV3JSY2dCdPSEsVwjizIKI0uYxpEF09Jw4j1OkjqTDqPOxVsjYkQdxwD1t8uehkGb9mWyRfssVJVAQvt5aVOSUEaXBakVFNfzgRbTtmxprYomIkhjRmfdJW9cujLpIRHsf+hgIwgPWeHDzfPAbMR6BpSBz2kUEX19PZuEzH+7oIqKqyCYS9/kQ9Tsgk22Spk0M7hFOehQZuk/BEkGHX5sQojyjJJwCg2nABQH0DnDEdQTPsuHYZFuEYweTSclOFFXpOj4T+Z6hGmBZGTZ7ladfaB2ay7g6KyjSJ2qmkFQeI8C3iCMGvIeYBMnGsaAW8GDBMKDXemYUqPujNp5xaWz2vtjuf10BrHFSz8pqMHfgn8iBFu4cFAGsIGtxsb0dIukGYOEQq5tGDw0xi+bbBRffPqq4zVUYREV+aFiur+tD0dCmbf7i/4DHD06vJhDU9VHkGwix1NTS7p4Jj9LeO80T7KpmOItSHVNL9mkjGNUxXPixviWU4ZbZtSqs/WWF9wNat0Tt+4k3WN4pzpCcOJEKRC3tMa1dRM0zItrdMZTgGJgK93elp+sFe0QPU0daSLzXN4xHA0UsLWs3quaQZ4LZNiO/MRzwaOKXvgWKpVZwVU/CZd7BRcOd7d5F4hIzmUUvCc19On+/s7Hszoa+OKihccW6kXfqRENUHlWcqP2FtuzEYjzYSj+Zc/ZqXjQ6zXGesZgr/yo2em2xeuUT2fbqICEwd1dviQ32Cecp+i7IgsF+1knfW4otqAKGFS1biAFmri6I1fM4PJbqKJdXfedMA11ufPeKLr4jWWtdwQVJDj8IwGeQjWtFUgyUddnTWdY31vuLquRBDRAp9YYwHJZjhndsEWyQoJ4PmuQY6LKS5Rt9mO0Xunx8TG2kvUxebWtuNzef0Cq+yqfi3U/XgvrO64MkF51jSBfObfG7GfevVZHbDNsBDuLezQy5bXST/JTKs7De9tANo2wKeK6nauqHrB9c/vLMYj1LiKCgC5ouLfkn8jU/pNOUhAkhqzu4QNcOpcwJPN/DoA6z9dtsY62l5pKk23KWKM78KAnO/C3WWtzva009ELedOsm6NObDeucydlvPWMmmOdQxhU5/vdjVQ5CKpTkXwQol9gHRRontr0a3mn9WSThqaeMbIs+i7p1nQuTSRKuuRdNFm4wGZWqB9/6He3D6PCFDzes6Gimk1XsXUbCRE+dkUVR/02xR7Bus6Kzkoq+q2kLmKwB8FF/AcuU1Y9jcUTUnVoa6xJ97wDG5MJtUc2nO0ypsqK82AnP6buPEWlpVXdZr1DXoKnVV2J7MCYIeo20yk2Nq18gs5d49atfzTEujhMUSf9OMYrPlahB/KF6XGK9Ass3c8H+TMAe2HFBtY4OhScthOhEB9urbHVY01XgLszf3dyFo6W2PVOfORnH+9J3r81VVQ79XwyNTeVvJk+kyKgwYvcV0KVtDg9NtS30q4Uv22t4yIruKA0uLeIR7adVUJyjfVy0WeFbsXvN9c+Px4e4w5Wp66FQnWb6WR78/YqM6cZqKbOmp82XU1dWURNUyfWO3Vl6HpH+erkuFfifr5ygRXbL/dKM2euqMIC43zskrI7yEi4ursZJ8UYJjMDdl9tTjMNLBTmwTLJRSzYksCrqEg6vtSv52FUZQCHj8KKPWb5CClcUojbgYpWesMblYC6kSYC5NG6o7qItcdhXIraRlgRC3kiyL7LssNH/Z55HUu2FjaOLk7EzO8x9ewpqOFGSC12UwcCseoMg2LIitU13Ro4wzoi8bzYrV3J38Z+4of+lb5kbIDPUgF14wapE+NFuG/9IHUxm506DPBhxMaXtysXWOWK3UheXfTD7SkcZEWR5u7cdNJGH8RhxXsSmOy+SpP5n6ywJlkJNRVd/arLJOAP/egraCRBYAo/jErza5KDNmPxqLwHCAoPN5Jt4R6TWalTFnVkXHh2uJUEYTEpSArLP7QSn7uKp1ixbzyECgEH6adTUXdqHtVgr2MN+KzQNx9WeRvrns9Rpolc0TtZo2c6odgZr23uZAPL1QkJPF4mNVqOyZPdB6D9GkmC8X0qY5Tz2UjffprzRL+BTrB6gZXiC1r5gw+MsRWV7AVefnHISg5ARO33w5eITYw5bV4Ze3eiAJftJeNlT2HDEyISXTvJeicnA4tEZ3HC7/SRHyoqlofxW0UlTUV6NAa1WVil2aMDbxvccrXlNMnCYnbruUp2dvDcCpKscAZmsHH8y5hm4yvUZdAUdavWWJv9CfMnGwgWJmm01tNbAF7y0Fvkg+5Bkwy0OMWu46KgnY/Mll5F28PqLJgRv9s0iv8bzG9T12O4okbNAuu8c0lIsalmMdkPPnhpTVpfPVTH5hZCN6uKRuOf+I0PY3KP7YV6jtPazwsVZofBcvcVNEBDl78/bk+npyeg65iJ2rEXzbROKBpcOihCh+QUqaugN1dOl2pLj4OakZQGTA00MUQxX9CS8UJAGn1B72ADjwh6aizHAJteaj+PO2fTIzDF81GUWvspQjzrZTMYGaVHboxyLEWzER0HqJ8LpU4sTu3e59o0D8TA2ZSyf0V1zBgJATK/j3mZPtvAzu3p40OzwCIwVEdQapCcGwipWDKO+Wehds4SbF0ElMSSowDjiYA+i/tmR4CmmpMKE53yFTR0vYalw25UVLf7LaXroj6dVRrkwlTUZBgxwOsAP0xkzLM3CK5NfYEoV9Lt7exMqQm4kKzjxIQOr6uixvIYIPe3bypE+0wbAVVHnWWADEjar6bR81TmUMvGpBohAOaL9TqsJjW6ztkaWd/ZQGoBJpP96FDrNdvAVic6BtoLLN5HZTMl9riQkHQSIjTUpkX6YDl76LuMCRqN8kMs7ecMBqgs/oj9eG7V0R1Un3AflaGAvoLmE65R1VdUMQVW0Sq/Qzg5ACwDIED+uxoxgJyzXjGokJ2JyXYRyA2RlZMTcjNdSLUdNmaEn7ttjRV6BqllALOASpGByTYK9iZWDQVkfA0DHRrPLipqGadRKIB8UeHQ4NR1ucahB6LxAGOcRlFkIkCWgOYiCAB3GufbmNJo311jjBtWUWDRdPuid+d0vEsmuxMZGWiyIrp/D77DPQDdxZCxfKOx25i1BNAzwc+IThXVDRVV/zWqoK6zdsUW+A3BXKQ3QIN/OUrWUWjQHi5pxLu6wXnH11mjMY/fl8wXVkwDzbRW1Wjcy2s9m6yRayzznHeXCmpLilpbVWysir1SjZYCDmpMqrVsG1+qcZvRe6SlUTgQ4xMUSFeVFzotnKbRMeA0diIvn+40ykH5xOaRQY12Hcibq+MySBVYtqIyaye9Ie12rKOWZotSE2HYgDvcd9Add8ABFiSVpDA9cp+znK7K8AlVVHSZigpraqBrVHh6ghuoZu0ueNSkJgVZGwODTvbZMKAODoPTiICU65uSC7bSBEsBMxBNaOjAwGj3AEpmaoRpiJrXz6ixBvxdYZycfhtrnRLVyAxQDEgcxDHX9kQ11goqHg+NNBYulYPiicKBYaBmrmis9UUxrsDAcRoNCVCwZ2CcxoB53HShRoF0YOCAcyuweB/lP/CwM5IJ+iAHp5XDzwIua3GbDcKGigm8OGxAhOuSZtMrJ7N+JmqBXghH87iiuuMRCmI/3Zb+fJNqq1dVcv5AEyN6fc8eWUBFKYDoJwaewiAiM9kMITNzK2HZfVB4MDKJlTvdWiBJKhTkdbaMGEms4YC4IwoMh2+fX7778uXLrO8rFOU9wUMPwbfgCyk24zkfYhkQBvpXKYUnFv4Q2T1mFiraDStclXYxAKTg3AmpOcH0yTYK4H6lwoFIS5OgpbGc12kaHQlOY7pGf8Hikc3E1Ee1K0hyTvXbgHLqBo601RQlELY7HTaWqYGIJok2GwVdk8I1qvctgeLqw/35+eM5R4QyzsnqxN1+xpFlw1ZRIFg8jidle2eJgx3mLVOJRkcCmU1TW8zHLJ/YEr39YwBUS+lGgh8Ie4hYJbiONb/GSqfyPcbdGRb4c823DDkSREpbJOwQFJ/Mjx/RCIBHM5kFswaOfcX2hAaKMK2IDWkItImZ1XbYUMDE2rkyfqaZ4zSSFSCVONhlRadROs+8v2D4bsZ5SLBlP+eCj3jaYPOlCeKC/h24Ctq5a5RKdNf0OCfiMamo7hY2/6EfrmLu3OnuW7ejZvyeEUKelZQ35D8yvj4UmiiBmsHpxrPQIkwFLbFgXphZvR7s3MPv8WYeFDL0zZRTb67B0YDkWUjCJTUWwLXFz8vL9klFjIyNhFMktCmNKcq2WxekIjcrpGqAaBQzhQdqsTiqRJUP9pWWz+oZWa5RkYRypT2m+XO1NFI80OZAskWmr8U/dr0SQn5XfuH5o/cbsd8TyOx+t/ox7nDPf/Mrl1NAZlYqrZm4BeoQtQT25RmpqBwWrqiyD0yf7U2C12emM/B4YE2h/dfuwYgCWhIVF3eOUjvOLaAOEfupGYGw1F/2kjohgaa5xLCX2H92UNovMC9hb2Z2/MYDsCIY6l9SY838vkJgNFARyU2YD1ZuJDjJhxF8CqV+CIWGjGibp5SsYwaEkLZ4aKNgPrdiXdChznx1BsRMUKQuOUZ7wszYFGnvIeGstKzASucfncWetvrYCxbOd7hT2nE7Na0Y/o9+67y05FShqS08+PGe7hIVnkt1ew493jOBYeMwMUi9S5FcEbVdogJWifyzjlp2e83GthhMbZVyz4ZEBUi+wF04xAGXltGhqh0VEJX0wrwEt8IDVHFlwlx060WN9Tb9nndCnbQ0bZbHQwUJFDpKVV0ant+bdqg/suE4yAOZSW/E4Nh58XuxUtkx7apoYLJwysVm5hwq8QCQgrPQqOAwkSACkwVWWYzN3qOcTeYjHkIp/4RDRl0G3YkqO7jM0iS8Q0V1o8d7Zq9RJSWic34yRSkofsxBC/fD4fYjP7oYxhUVFdjJF1/F6tGalB7tzKCKzKuY5TYPiDKr3R5EhA9o7igCmtHAWH93dDyAu/68GUTFNRbueX/98l33ogsqiDQeLI2MMs0bD5iW22mioniiT290pF6HoNVSKjywHSkeDEVzcyCUapmZpd/wwItimlJBpevQrKVZpWQ+X4cxTi+UWDCMBIaf5F6RyQv06A7hT/0gEsEvtOzFj4U+VvreEnd2Vvrx9Ma3SZmC5PaBRydMTe4Om/JBfUajUorrKfxAQGcrqiNguZ6Uq8OOs/rOed2Vv0U++z+oXnImdREPvIf449AyOZMKkguUUnLAFVxm4cSDz4nWMXz5Ov3vCkvolZgQIrSMfcxAMtsGwFfwMH3JCLyBS0YCgteG42G4UqfJO7hc6Yil4dlnD5+evCtYNbFnBdDvqqD1J+aPeV0AF++jrMhuoXulrdDzCJYYcX964+s7AENFFVdU9Q9MX8KUJIgyN9LasCN5odqTpOyH6iyzyKZLmAYe9itiFXMnwbJUEAmkkqrJmRRwjTX7+Vjid1jqk+wMR6PfrsgGxB6UKgqPiWpQKlQwCXbbiEmPtDcojUiqaNZXym9cxWWxzKKvtMDi+UolJLzAKEDZN+SF9qoY6wWi6y86JIXaKxKEiIEJtAPAjzse0IQK49CclKzRSdWNhpycjI/77d1WlXg7/nH79PmJH+85RXsO3cD+sH32qiUpxprESxECpEnqUZSZFRVSWmCUJAaWTqMriQgpzSJVGDCIXkcG0XCi4tSgYEhaBMocPB9r8jNIAcm4VcDhRHV1xEw2SqfochjySrmqpizNwFSoECGDYtiZdjhQUSoLhESVsaGi9GBI9nSOUkeFqDOouHXXkoVbP8C7glU/uXeGv3PSqsA/EpnbavDsJjys6blXe/38HLB6iWYGnuz5LteopIZ7uuPxGVbb/h1qs466ibwm66Z0j4bBYr4fF1gAGxXdKtYRwEZZFydgSW7gAUxFYmi+CxIgjxid+FJTeqAiZ8V8S+fVWP71OQqLa9xKN2rkvKAbaLAUAg+edXEhvSOC+zKG2dpykokZTGGWhI1a/oMM1wqpHT9QKYdomApuleAJD6g1IzS+t8CqjWaXGSgG6nbOWlUhczvblLIJ7qDCnen2GhXKiRs+9aMvx/Ne7gQ1x/yX0z5HNdtof9zA8lT9c9VZ02J/Tui2C8qTgKYUc3McGdECIyj1N5hi2SDWKue3K41YUdI8sMZyqZOpOIC5xFjZyBs9ezCg5lSMlRk4xqtmduNY0TLfWCI5V8jKKmEmdKi4xFgVpY4K4+ZcbGxKMSE3uCF0+gosueAQU2suRJhBAr7eBJ2IiWGc087f6Ie/k8dCITaePp5ud1yBC5gWaJoD8aRlaCoxxRT/orwA7fzDv3Z1QjSsIVbrqCkMe9W2Sk4gZcKDbVdT7wsC2UM96+vyj4v1emwgJCQ2fEE1x8VKa4TmxkqNpfR3hd6CyKXOS4wFGTP1SnBAI17sB84gOY8o9kPvBctHcuP5LYrU3BsbioaSqEuMFc9Wk0wLhd7CyfRaImRWtdICNV0FFhULvg6bDUyjuTKwG+IPTx6nZqX6kkKndfLjPfGnTLQCgBYPX5/WOAAAIABJREFUo3rC98/sr1H5YNa3yEfbcEyJUNIBr1u29+nT6U59CvRjVDVoW2FK0qWyUYCS+/2GK3a5vVPXHqgbkUraQVo2IIG4SDJXq+USY5HpO/6u0NDBPNRdXbXczV5CQ0kWOsQ0a6CLggsi2WBANtONVGdT5EBIlk6DYTwAUTQ/XRSSvMUGLZTexDHC2K4CC85mC8kw8nW/iQUc0d9gjw+sUJCn0parqEAJkZGrqIixkI6F2vrw8TsKYw0C14YItyQl0xuR6dwAoFISidomuQD2CxUyToiZ7/QoypFQdiRbOnw2Binf6R2k4ySWa6yKvysUPsw66XWPVjCfrIo3KEeyuTYDfRCcooN6p9c6RINaxohz6nq8t6Zos0vHdQ8/EBdAb9oX+jjY9UG90jgCj5MZ1FtrY12BZR1tSg1JB7UqQ+NTS+gw/n7/uOQO98OVFamoPj7hr/t4j6DHe4Y/9TvgrzD1MHPyaaqeDENBREoHYpRo8U31j8OzH7c1Ypujg7IxbRRBC1WWcVByqnHm9mBxCB+4aEdfchWjww7W/Q1t83nGdvT2gmeQfvny3XdBc4QQYUKXj0vsFRubeRY2IISoiCyWII0yuFlvWGZBq3HZsPJuC489G6P1xkwXvdfwzFwYwxmffxwD3NkOFZsLWmUlCyz7kR+Ei4uto2mrsJtpq2aaF95yeiSOm3t/un+60ad+Apu/1A8VVZJAD027qe0zPfUNh9bZiakmQIgSGh0I+qvAJ0BHuvb1YGTQrvlsm6xHMwhsnEfsBPAJj6ovZs+CKlugd0KudIwQG8IHfg7bkxIcQPsEew8AcCH79fNnr8YyfAgVhpDDHKXTS+wF9mq9spFgWtFyibJTrTcqqbJDPa7s6sgQoq63zO7ZPPOKgVLKpZaZMqQKo6za9kt3u/pAQl1wkUH1e06ZTSX7TpmkgaNwPRT/42/97AtvvO+gqwJ8xVCrJPD7gs2XUATBu/3SVFQy6jD0cBowKdXECxjiU2OG9BXd6n6EtRHCW0sb7Ol5Ywh/RqhlhJiivHhkbKTujGwOrfZcmZEe6cYH3q8vLy9fvrzRd+lM5eMSe0FDVq/EiOFCL0KyeiMu6m0WQ2CUsaheniGEuSvPff1665HSjAl6twjxOeVQ6eF5vr0vuCJD+Z1oK/essFyLVifV6kgJYHcVlX+NyvsKmuJtcBjCAOihTd4FKtJDAZLIhppmX1RUSr145PRomCx+JsTkmuOMynNitTi6KmWnhkOvSrbyCSliRElvyrZIXyqAI1Nami0jvFzohsz3F9yP9fY69/sKgVzLxbUkMM/7VcycCP/jvCCSVaJaweSMCPsJEUAn8mpGiHUxhnUIySkJ9I+gmhzHhiQIMV3TE2abvfQk9wa/1Fh33J8CvipuUr3DHc6843+nnD/18yoq18EH+2yx7+MzTTsD4uc12XVPH4dSVCUMS3TNw6umCbZ6gb3ZZrdLZgKMNCyYHMZsdOUENPY327Jx0kQIJl2yC4KmUXotIxQ3J1q5xkrdj9Xov4Jp11FNLiYymJAzJwXYG4dcaDIQpwPMcEI5JJlaa0yXcEvrrZFXMdZEupc3KybLUA4SqUKMtBIRkoR79JZoOY2ppXr3EeFJWk/Dtj/1SDnM7bvD3VRUbjNLV1QH1TF7Yu2H6e2nA7bzAxha8zBDyilv3W+V1mHCYJspiJ2TDqpnnPKHhYSAXsBSsexlTv1PqLgkPwJpoV4KEn6R8wG3OyyvMllR75ETISjy8368HysybkBzv7MqQHGc0PLlFyZSgFXM1xkqJhfGto5KKwWqj3pl7fCSEWB2rObvcZLzKM8mZ+fw4iHMPZmE5x7ZzqruHiBUl+htLLDinMxfSgm2pKKS+6h4X/h4vt2j16gSgs5d0+wcoYgqJ9kuOVLMysxqyg4409TaAnxq7+/yGGAYL3ceKctmoq15fENHwPuxTLGRwvulOgykkZhqdV2+wITJ/rDwsSUFEWIWTnhcoFX+rnD+9xVuUOit1JDQFlaIEJbv6+hie4PecnSVatELxMSD5aTFgKY5V60pgM2r5kCh3E6xovMykobFdgyl6E2b3FJgRQzRoitmTkm7/6V+tEPj8Z63e/hvpEvE+WPoPZksGL/1QY45qnmpGysowvMvWQIlI/Oylhsh7yoBiy6XYa1YMw1X0/ECQXqtjkPkbIcKZz5R4ncMUQ8F5sLYEPFxoTCtgm0XKxDYRwoeLPvp5UnpOe9x82I9xLdajSWhInykWUn3xsCqtEN1haO7VRpObJiQ6m6ZtQKE7ZlWO4Qx1YYHhN+4UJDYptLNwZlxEDNZdLcUWHvUU605Kfu437wv9YP38DXJA0Ka9M523J7myjNZ5xxqiLv6qBaipaisVL3ycLdRtnCysmE92DhWcHcjfwkk0oX4vkdizdy5+5+PDJamNqEtVmhX8Cd2HtNnhfR8rNcv0+95J+Rpq3O2bTtlQ1YpucKRA9DQn94CGwSep0i+pcWzDxU5TYXZWZZSC6mWGN5DUhKfErNZjVGs/UBLanJPH+u6jO1QeLcUWNZfmkmnhFUK4ic82fPVL1GfPoZUVIJnb+H+rASx0pjCOsd+7Eda2wPas5IcXahbyVInhrMDzHAN7Qec+0gQ/pXQwmOuMRuqp2UHpoVYhVLDjCsp2slumTnT6gM+Mp2yyhZnxL8M8hoPs/pPcc/728vz59dXPCWrX1qthLPVWQlCC62KPlqu9bX+4rIVTJqWy6xmZ+lbXRIuHCrbaspO0RtgfLFf13riU5JEtU94fYHFiyylRLkP76zfROT7+/vzCz7yw6MltoSorI3FBaUHG0doL5cJV/D2QGUQXNt1iS1i3tx7oXamt6umStNUSERL/ZZwxdrc2T7kBOveyg3SYiizY2b+jkTfDAhmEbGqIC2DQNBnhZ8+XXY/VmEpvy8gVNwEkv0daBC9QbFaqmUlQZpfmgc1ukYt1U5g+cE01eRWwGJaJFSIIrwuyafXqRarOUg+ygsss7h42yt3bvVIfnSCebwn6aKvoAFI0o5S6/aEh6ePehkLQ+Iv3Ht8OLxBcvHA7w8IsIRRAro//3zcPPEs6sIWooS5oUCR/07fI30hvBrVytlQtgJZPybbRdEoq47qCXXM3nQtL7yOrtkAPn2y92NFv0snxJRaW8zd2zYJVZJe1HQaQTHV2noC8nKLIDDFNHHIyPQ2ITKL6B3Dahw63EiJfpBqJzZq1+zV7TFxnWqwgcIyW2Add+DjuWdL2yFVVJ/w/c3YILmM+ah+YHqbXjdL3SInWeUApQO9jeSygaHSUe+rX0IvgpL5SZR+UUUrG4OT40sU2jG8Ni7Ig1Z/128OF5LArNTlcppyydtNRusydZf90cmOGGJmx8t1WRj3Y+H7Ci/8rHAjRQLG/oyyqNSxd4CS0BoxhcFGwyCWEswuZGpU7cZCTKHq3TSNE7FAXXsJMYNUl7Bi4E1Ma45hqI4VWOG9ys0sMSw2xlZUqKsoZOka1cfz6E/9zmDCFp7HScss99B1GNJFWqWSop9yJEiaf9YZ3KxGbSKCw2cdx1yCk3xaMxsrj2ZYjiFYV7fQMNrKxFy87FnLby7mWyb2zwHyOsOzKo/MRCfoq46qOnaYzwrn34/F5CBWyON9MXM0qeZc2ePFqnMeN+tgBDNGpp/dimH3D8wZntHQ4y8xvEdCBlyimyN8qGon3I+Zc4HVlZ2DBuIb/Y4PTKeK6qw6ONs0OvSpQQV9+uYVKE0Moa1R9keuGAjeOdn1LMVeg3vnJ2zPdIEaeJ0HgRtmxQfjH2ckNXSTvh7aG1RWTdmYUd4eYbjWWqsySAazm83e1jCdp1hqmJjyKLnQ8Gk1llBDnCC8mWs65HVmz1pZb513Ie3GZLfMJdmY9FseOO2WX7XQxPBy7SZsJAUbflqt5lVZrrpdTWhmreEhGcc2Z4sJp32/q3KK4ikoYi+QzgIVlb2P6jy4sOV+vz8/t9+AVWReIZS+YUUVVZ8Kmq1kMK2mzv2uyhbzwR9plWA7hZySYQWoZtp9gAOr3bp1XZLmcEqcnHhxw/oPRsrOo3P7XX7oNsJxQ8Q0bwGYeaZ9UzLySGqsIc9usNwwM+Hl006ZBiekvcnrGsr55k25L6o5blpxCO1XhVzW6Q5YdmQtASsY7qyrBW/G24hNk4MCC0suvOqOiq3EYzsWR+BL/UTyaezchjLDCjB1CDIVFSTQjs2LeNxK7sAZYwE1D11cG/Ta30oFPVYXaQRbdhkMAxC3K71y4vN0emAwbHeyAGYmHku70z/vAGaWaTf0mBWlFCDF2vUJQY319vJJ634sYYdipiZuypjXtx0gBwiNi/T2MqHnMsN3WS4OeGiPx4avpyZw/Hmlx0Z+RHuplNZxvX4vi1h3BSsP03tDv25F5cxQXq+e8U5F4mArG6RiEGc0Y8pOzA5IYJ3exWWDlA4U5LaiCuIQwy4z74q0KzujKWlH57gg6WiE3itsN3AS2oUdXk+juEloj9Gl1c7XsZ6+e3390vZ8LGZHeGlj50LbDYdjt1ubx0+7o9B1Vcxfqx2r3S6rKzIt++JrZb6wwJKKCrdSYRXwP3p6wgWPyMsmsisChEBJgAo8rJZM2ZA14zDApoVDs9mEj60rnh+KKomiONCr3BhHNLLHBQ8vLUm2rI9ZG6l5XdlgweVc4ccWVTNiw9c+mSP6u8JPNc8gpYrEXB2vulgVs+tC2wmS5/cYwqp2iiIWy7MywXOt7Zdol1UG1eDHrbgqhlUGCwAVUQ1CSLt5y98wOzUlVmDtr1EhRPH0hE/fGRApgUP68D0eaQdk1s0AUOQOt/8BHAfoAD0s8mDe4XSU1i65vCkCKH+8iHqTMGdxBwYEmrpw1U0mt9IGpo+C+SEwkB0LHrRfm/Iu1G75ofcWMX7qfFk5mpXG3tlUyqocnr/n3cs8JjhVI/TxA2/bLWuDp3Z8pW8zw0X76HXH8oGEgsa3d472NAWjbY9q5xVk086OluiUgg5XYKGEwcOo7vJWiO4w/rS/RiXvkwokjhjycf+4he5wV80qeeCOfUQm/zdX/1xtHh1liv3707dNsWRucsylRQZIUNtjbfSQtchkA4o2z2U6hwA5Md8ZgpgYww9r17HlsaTYGuvt9bNL0XyBQcwYHzxzXX90TvfqSKaUo7bw+cTIPwIYTX6a3nTvEav2uWi/inynXcusl/vtyx2bCFdUT4lP/RQith2zvB9x86dh2W6lYt3XRB6sVdvkHYUVB4lkbrZE1AuQJ0UnCS70T+GwCqgjhvY43fLDjDQJwqSrco2QmfC+AtuWIAmgs66rzb9y7Zka6wu+r/DFrLAzQQo+iIq4mnwClg9+DqGmtRU1XDquNV8sypufMYIoLE7IR1ka2o8yC8/1zC9UuBumqP3ldv/u0x0XrpKvMZ+SJFUGOidsyLxaJSApmW01QwDO+KYJBpcZ4VYafzQh5S4FoQRimQw3qtqq6glOldKBM79EngkhBE8jP0clc3fVo3bYUWX+ef6pxTDECyxvHGJMG8AJUarhCu3yCeDTE9VY+LvCN1zHuuaG16vJ5wwT3n1MFmrLQSmHe32S3y4Mvx7+Lez29PnQ5ntubDxUMX+7/tyIYvw0BIj8P0KVTfZcS9Gm2B6OavAWgODbQhTxf7ZgaMPXNouBXLzF+mQEj00QoQ/xMyCErtjjPUNhkU3WXmvVoWWIl9cAhqrAVA5WML9EI1NEiwQceVnIflaI61iX1Vgl8INjOta8J8+GH5VUXGyxWB3ZnprooUoASD0Y1RHvkNVSuABlnckU+RkXXNqjJadU335clfn7qZGzcL0eGWxLgkL+z1LKCqx5wbxDKGrxiNGnmxoCCkEIQ7wjj/GGuFMZOuGxoQ7dNjUTe2HxKiWOmCHiiD9CbsPXNqvXBN35tMj3y1ISGbSQeegebCUrmBSGatSBMffqYwizmxOcg9BzMA4A2QVkXFTFgujyGstQB6ijA/3kJI4h+isTWnFQPx2AIILezgiMOfdk8a7BLSEyfJ+CduPohPLDVfycwCg39Nu1ua8phATAJqTYvoICK+PXYlXFAw+xCKueb+3PcIdacysVk2RcddBRjE1/4BpIQDJXC1RUGYq4eGi1dw2rWtGf5xE7zBG6YJul6DxwVMv0VbgzBPaWJhcKJH41JbKdVu+kAoA3S/FQEYDEkYSQ/MziHFdjVSzU8hjI2pMbQDHEEc/w5Af9LA3CnPyGfvHUZAA774B/psAg8WwQguzC8zq+ysOmVFi40NKEGSE1AAoKrLRO1d5dPHVI5lCjsgovkCJXYvrkaUHzUAwQ6UnPHZqqk4YpFVWicYhVQ4TmGOJ+2Q35UGWNFikNDLpUOeFJAHAc8VIb5asEgABfA5oIQE1uPUAQliCE5NS/emqsFn0hhEA+tMKQAgKaiaIQS6MBhIzetV0LAH7EVcQ7X/Ukivav4/m+V7H8GhoDe9Shs5PhoUEj22pWwRIFVjoySqg6VVSYRGWVzgvStUQxLh1UDVL8oopzWKGM82IOTVTk6CS+JqZPk+saduWCV1dcnFYuffsuDPoM+CyVhUedF4KjfQDBAcMbq5O7eZtHcVQ992hNosYaufZ2MGCFrhf8ooqsyLGkDmBnXsHJJQAMS3ypgADIxYMCtG5INkJ4D3XDUwcAkOr+HvQJAyULoaDAGsZmj5e2UmFblHoV1SFEeoA6USpCnLSyA7zfxr4sYykm5L+yuYdR8bfuVxh2ANd9ekm5UIt62EKsACJEIZYonKa/oLQkqQ3FVQDAJCemSDMpgXH6Bo1P9H2Fbxfd8w5uVbxgKwYOo8pYUgHQEyQEAPPH35Rmcre8wfdYkqgqCMUKK9Pr2SHxJeoC8CUXHhMADPWYKZyoMowXeOZj60yBNYjBtC994x2AraLiFd5RKvjipxyXW6sBxxVVoEiyl4ZUyMAS8y3xj5U0zBSDwLLqQJMwZRvCv2lMvMwMz1FunV9ebDQxSXD6IQyULcyKAwyXE7KDRwyIAmCqKEh63sfs11gQv1zHenl9e/OeQRocOa4xSkJSJa04XnaYTumDfyRnRDsJgPwVTnTI2A7BPygUt9SUNEK8YNJ8cmR/J9l7eokbKfA7XHmSWtHAAKD/gj+/cCiNFyicAyRlCiwnReUgoD8uV1Yj/oTwdrtxUtd8LxhXG+ph9aGOZFuVtUlJmazr1Z7wsaSujLz2bk2rqlAEw7dKAr3X4AlEUZO4tkCoA5kczaiHo7A8EUmnpHFxfQN6gGmRlCq+MhydqUq6kgzJDYj1P1aNRfkJtsoueIqnmI3Z9hFXcbJKDwMUQ5FSk199HjRFTiXorl8OkWAmo4a/zMK7kITE0s8UWImZ5bwV5hEXYSKZVPNqVMFQjjYwstAAgzsgoLPprH/bAs3b5fOQTp2H6SJ/tJaD0uNp/RJyPHFBdX0kHS1qOB/ydnHjSYqqlKPBYr0jGgxNTUnhS81T6CPbK4u8EWhXqbG4eDobuCVzzuPEu15p5Xvx8miUpNK8IgxRIqWVoutJYJfAlkMkHE6d48hq7VenI7TgHCIhWWD15fIYub4lQGNO6f2Iqaj8AQ9zXGJtszH09s8SRUGMWBqqzwc6TZGvtOPYY4poUoUPcYf10wG0cSqZ1LcwjeIDUTVwVEmtUezGznUEO110byEVDIaZzCxRY/HTS9wnNJSkODiJB92151x/OhBHUFI8dU1rCAZDQrvJ5tVX9aImsvW0pC+igQwCOLEritIyEhtgaLHD5HdVyq11xF6Vwpnw7zCnCixYGyMiDSQxy3ychRHmuXGJsWklE3vTRIyxgAsqE29ceFL9OfF1VHZl9rJmHzHZdsor/CKQgxNMDIPFMuN3Oh5TCCxRJKGHqLn1TdAiwHdZLDigs5GFi4woVbfBGLIm2BrrynveEUny/s/QdEWmoGDg3f3C5ckBSVvmCYNrsMvPjVLmChDYFYTBKc0GkcoAo05+2bVTjcFOsLsfmyHOLUdJLFCd78r+8qlqIwUDQKQKLDOoWKllZzeBtz7+FB7NJNG6Pjh6N/VijjYsQajBxm1OyxFiQqaBIw4ST4fpaRFbM8fTeJymdOHkKLbmnPMHJXROI25mbaC6iS0HV++pwAx7q9KHxBW5lqOKfrdYvptDnCNcrcBd36yTWh5KcBmuIPpkWpC0ERhKcLoxtsaafc+7SUjeNZiqmHT4tQ7EO1MwBAOB7KA1wanpEDwUVDzJbn5aRgfkUEAShsvLi0YMwtVWJ7CJQcb3W+L+jJMkpl7LAwIiWmCVIzsYT4baQoGrKfQ3xtX94357ugWCaG7TDv3B2k4k5oIeSYGWw7L0ZYNVXc2+cD7Oix+P4QRq30Brj0OLmMrj3U/+np0RVxIzw8i6PB7IQI04MFyxKCewPL4wpTxbjgjDmTWWcLXx7vF/OQ8SD32+KHd72JNSGRBLkERLEFRtbIXnaLc6DC6YtTWUyCPltL9RFsqzahirWdF7oXTGfO+wMQPS7IafR+2m6J5EC6wSNRtkzuY0RXzrrboSOdExiFK9byGMainscNYWjo8MMxmKY47WXkHwRSSpNCtZpYLlJMRyZciiDF6zAk/ydBouTVvGBM5exwtIQhcvPvQP9yxUQOMERRm30WbWYCzlWZ5KXDXM36GSyNw1TT0ZWmOZZcgspalC7+UhkcTQ6+cCp/JeCD2Uqq5M78QDVzhplxVY1D5EdrdESFBoMUsqIIPeJQV4sSJyiZxmbFIrwqIFViblcBQRCiZGhZ2MyRd10zIJ+q0Yj6UKUvxv+iuezwP7IAR1DRAZ1FPZaLK5LIUT9YtEWiJlVJrbPpwi05LFPIGb2T4ljZS5ZuvdsVaxqXPe5CUtqV8LOOznreJKHtRrLBNcFFYVdmHw1auDAJdfO9nFUuuJqMNsxJUhi39dSwWXLlRkSbS3Gtc7T+LHp8KGlpQPvfLT86076Dfptf5JzjKT4mM4k8S7XU+kwDrj4DJBij92WxaBU/GYB9Y+umZS/zIBRBMlukScFdogUG2RtGOoR106w9FFqTG3ADA4O6ZUceu4a0kUukDCClS0Uqg5L0MFZTOoQ2Cx38Y4L4NB09yoLNRYiImeZ5BStuPkD5KaV9kUKjJeFF+PXiC2jKO6KuiVKVQENW+Nc6jY9MWOnj7hnh8Cg/9yST4mo7Nd9AajonKfD7ub4e0khQssWWYgwRZaAJaQ2Gl1eHqQhfBQ3da9oYXlP9BaFETVfLqs9tjvvVWxUcl2TaMsXxxWEKwAL4ldu3N2cWP4WpGu2VSEXXkMIVmP0joruqDtsqxlWXl/fr493WtrLBteZvezwtp/q1LRnhxUYWxs7OjamsNHHIMUjlRZXPcaREWJQVSGsv18R/W2U5bMHTGGqCBAO48cfOO283oAviT/Jve94QCBgbNSU8CK2Xe4+7QE4ASazDJjPzFbgTELNNUblgCNIGmNCY8uCqxmWM0TE2Yt2WXTOBkc5gutGBTum2jS5QDEVqLCUdUeX13EreAR+awQ31f4mvy+wm09AvQAuogKcFkRn0NWNsGowJDyPjFmrr/UQiV+tWCkICb72MtsxAB3nzW7uoo5c/1Mxam+cd1zDqTYZY9AYcCb56a2kgtXsKCFc7Qj/eMDz3eZY2dKC4J5zh3uxbZSbNKL2YGLVmApymCxVVEJgQ7YXyXXMkZcqdFFtNcCCdjS2aRmjo/D8iURVhJfJWN8DYOOTQ4ZJD0iluKA9zz083LkrTQyeFozAuMSNnwDEzWWCTFajlVL2RdfekwKomwM1+5Qkkdad3SZSHZwDnMyGw4EBps9z/YTTnL70PiM1FU7IF59cyEVsoODjKL3qGegJSUXCiwwvs3FUcm0HVuPe7LZnbKByypixScqNWFIXxlWUl0+cghQ3vQMjkGM0a56tZWwsHBl5lmGIB60W4r5aTLi+u0cOMjRU71ChLHCXRwABvK7pO9S/gaMWwGGrbHeXj+/OLKMpwaYnBDJbFCBkhgzugvaXalUpouXpMkzasgFBpbKtVnaxieYUDOtpK46MG9hqGE4yC87BQr4gy9+V7Lh45YEftZo7sHyh54HfW0tSWvNwmKbiXvaPOjH1SSUrMnLQNoKgTdaYe1qvlbXbykjtvoYu8zre4pLAnQ/o/RMDKQUxouT2eK2oOXjcJTilXH0AVkQYJ2YjtHvtxswvLzyc945i3UIq526Mx0nau9GaoHY8VLhpWGYKoFy/qisXwLDQh74WwtGQ13lW2VgXP2myGMD6Hah66NNHB/mULLi1ws6/D5KCrOXosXi/U4vA29gzaFv536e3eyodUvfZkx82l7I4LMEjETXKFAHxibHzAIRSsSS1XwVpZBlRxpNVKQs+ilMIS6dYTBIcdlKTFOeEtaErgLH68Jopgb4ae/ZJddmYXUTTZgxYx+32/3Tp8+vdB2rTkrd6HwKWsUv4Shlzmibla22xvi86QFpho1adW7fDohsabJOwdxaM7woq516Qsqkk0CO2VP3rAbRDhz9MIQS/DytupoNY5zhyne4nyKA3wmbaAWb/YSOo8JKDibrk2F29JDfwhriz5ShQ5SUCdXcy8s0hkcFveIPNXmIGXuEMPOxVx/DwJ70JNEs74lpcQpfBUXVAWgnjIO05lNsGz1sVOkluuwGdQgz/7PCKpnxwY1pZwm/wCscpb51aKmPMl9Ay7GBUVVVNBKfgkeW85IrLC1leRJhymAYCBU3QKssOmX/qQ84nI2nzuqGU4FVLWHMBIRd/x3uvpuEMwNWgsPvTliR3UMTc8d1FYLvBODKA97szJpak5BOSxunB7OMYw2EGc4axZdOg5Zpe3kaU21cuvHAz0UVv6l3rWll8V4i5No8zdhG+4UYE0X4GYxF7pUaq/bZDSLZifdO2w/1CakPFbc8YQbwtBvTPVO0X79yqbbiBMKMnM1yjAFwYR12FlLSsgghzIfCh9rgbVdgUUq6NOBKfFDECmV3AAAgAElEQVQ0RlaNKapwQhf9hkZGESqFQcPTgVtLAEuknRWusHEpMKklwlQ2jjcm7cyalrqonAtUBrEUlHoOKkizN5cGQy2o4MEaYRhZGVhIjYaYooplOiazsiprrHLBWc3HARWE6KGILU9d1xxNLTsXQjBWMUjKNO9GifYDIcLbEVi5X9w7gJ2qzAkR0nTXeUZuZbdHCGaW2ywXBGX39J+DBSF8kbkSxlrDqaYiQzhYpRCl8wp2aLh7QU7zXCdE4UDwt1qRBWDTDxQc19Jp7iL1VRbnCbh+g6WNKLkej/ZG3swXqDikaYhysQuyXNYeSho0nmE0G9UzMUhIrUATbI6y+oot+Vmh808trpbxRIjc1zxYrSEtntZUXNNCwX6OeHWFcBVCBB2O8dojrTwrmc079kGubLtMCHpKpBwEqJ0KAyZck1Kp9uDdcas7AvdgJUXM6aRVUUwpe8e4iMOheGaBMURrZ4QVaEkO0TTHV+Slnnj68Sesd3xBPnKsMWc2NupudR9HpMUzTkOpZIlaF7tYn4Y5gThrTUHbBUESIqkNCeU1+uCUWBPmQrIr2rzrWJ8rpnUOdXHgyYFB5Bo2zmvWOXTLtIS0NtfoAN1LuRyJ8Ebu4oWzRzfsLBQeoozchz1Y9QJwmxkUrlQ9oTA5wqV26pFVehS/+4iwJByPAgac3+/32/NzQjCbY6zlXH20OTH3cbr0jfLzziK+fgh37HgLIUYs6nsrpCjbdnkyMjxwgpYlSpkHuPlHFr/6gMs3LWcRISmLE+KNX9q8kTzkVqDIPufdICj/ZRxfPoE3JNWrjP46rcBBsUnVHqZcnhVNuDKUKhN6BjvbffMNkouW7WYOv7UIpzW3TrbRA4+ktPKRSGlFpMWDfyuw/JkDYZaJPgCmCCBPm0cIUu/lji8zpH7UwfR6Af4MIo5ewpi/fvxRD3o8NAQsc5Rzs7yp+qzLG1moXdIjk33zealipdLQS8CcMQIGUK0ABkTFkBBhslg1gfqe2YixnxVmvktnm3A4Cks9DCo9TXBSJMIt1L54E9Zj3ilCojRoGhLHXCziqJ0HxQYoWZwXE+YkEYfDai8gQV2FF77thgqrBAY2ayuw8lbOHWGuu1FxAFPEDv6ZM2kuTEVtOoZtywbQLHGaKIfWNXVAlT+bE+rIDRRxNe5YZgsHdlhRB76O8220I8grDmzEcd80JBum5Y/gGtB1pE4cVhVyUUud7OgIdFCNhT9xen17Sz8fq0hYSlG+j22vDhVZq8ykYrSTd2YtnzQz45AIc3BsEW88iDgBXJ34TNud6jWclCCJxW1f4UXUcVUl1JWEylZgFdGdMr+3TxwPL8rBsTiMUdardoX5vbYZ6ngJzPCjuaB4PXX+XtWGxgYb55urM0ibCYdZQwPAj1S3YKkxRB2QYMxQPAfbY6frICGEJuaYNpyGqIsZEmn33RIZcmq+4zaMp3fznHf0tsg4CW1tKHSQCTlZrK260vMKkaSFqPTKwtFaQSbomLpaeLpIarX743uRxII8WXjJR4FypecAhr2Dtphc+6BRLS/66rPHbBRfqGLahDsCe8g4UfBZDYsP6DFM1gsZCLqOjA22u7+sGQwwI97kGqJfjTp2wSrEqC9nF6km7NjaoqjbX7DJOGZkN9Cq01KFVzKdxJxGoDifVKGwg3k21Vj4Q6c3/i4d23PV74SDTNSdt4YxWAUJZBdF+BgMTmqCFjcmcaBIXSeSBMjaLvILVz1qDgouJlGBMOD/giAFQCKxbFewgvPVGxmzgcxGHS9Uvb+/mzvcgzarA7pGYLVtmLAtFWCGY6tlXGPqUK3MQtFuJewxaaO4W+a6Hm8M3WhcfIE6UIwXEVcZdiZuK2cNihmAhym1JvSAId5sePqZTmipR+J8UgkqPo9rrKftOlalYN3hBwfZuLug0CHXUNxPjZYYmQdaYsN27cwd3F4fYzsxhxNDi7bYg5aiU656yEEYrZ1emDxOd+dLU5IK9xCF5GC02AJLG6IDwO/bKMsIiEQx6KYMw+I0XHUQz3MRROJpdKovlYjCx2tOFBJ2nRB/En5DzZugohy/3dbLZ5iREqOgzmQSYq46bn2tmA5hnUJ8gV3HfbYUqnZJmIiLkFdMS2R+GkrNpPvzDSAXqrHud9ktLo4ZVr9I6FosZhuNOX+3amODOtstlIu9w1YIBi0fCXtYOinTgiuLF7whhlb8NogKLNRAflMn/6SLNj0SA7FG8qYxKb5wWFKGaqcWoGI5bomwm/eeBrXFclRZeBxhhj7hbc/eDCO0lno/1irbJapk5dJPWrdfZ6TBqkE+YvaYuuJVCpIjYCrJrxx+ji57z/tlnxWadQvq8OIb8BdJdnEfnVkc3QIs4ej12RsNQuQbKOyvORoTWghMz7p2HwU2J71tAZIIWtQEl37YK1h03v4iB5Ngy3ctUIbTrn7pmXnbtuUBQyRYghYtknKSGIPARzcKgRx0CfpGo1hOPq3z5EqU0MQwKg5kaHJ8s4WQnQXTLLx2oi4YIc+yV4uF5llm8olik14zdpuVPJLPCvWfj5VUatiz0beN5Wi0zGzNlxwxlnBlMx+PFzC8kzMCQTgbzEo+gu07Zsq4kPDDRMULTIIEP0k4LgwTkqadm5IyZ+bt/W7Dsm+YQognvfrQpWa7zAJLOFALLErJK5iuPKQpaDQxGAqZvcvBGMNKXanJQ1RWEoxdvhg0pqg6wIKWVZwkuRg/DxBrTi19xYs3LryUmR64ce1+D31W+OljQo3lst+c2PNtbD4G/YC9AmAKGOy8DOZyPAZM+S7W7ICCiQKGFko6p9n4G8qegHmhrJdGYw2jnEIfJ1Jmos8QsmbYieHfoXxxf8dzhrHIl3mFQBaAi0yzfoWEQs59XVQQRwT7w+YcXwLG8cfsbRReAibGM0BuyGKDZrUfwYApfhmEk8NpMT/VLifDnWxsoLFrNe6pJ2ZOMXFuOQ1RbzB/V/g65LPC/frNY5coPcZwft6YEYzmWjA7AuXa5xhbq6Qu5aY0GCEQY+asLejJfETIn04y2waTxrW0uHGw//a0TIHFpWRNqAUM85ZEU1XlqQ9I93q/2kPLIK2KSeuii8ul3ATGwJ9AIvYuJdCAuRSDc205GApAYHZ1czv+aGgQmClffuzMTxygxgLQ/DNIEyL2XXYFg8UoA/sZu7NyT+2mjTm5BgwzCO4OBBowsLSJWF2GLBiNCqEbmRBFqY+ZkQjEsZx2i68QcCyw+F2a+cFwVPlqWV8VxugONSmvSKhnmEsnvB7me7QI7+KDLIfEXgGDC6QXj1CgWeFSDTDYjFxAoYd/5CGQVL9tGYaHwNgUfFCye2Mp4dUeZF5yOKiRU+5HoBOYwIWs4Jyxje/PeECW9wzSJm12EZes4IyChKcyMwd0TwPjExiLIYChT5UiYTzA+pRIArPMB6kCVDgUYCnow/peQMmdc/H2wZ8s8phLG6AoimrQPnYK2+aWghRVYzSuszONsM9RSIuhekGsUdNYXi7zlFnInOf4BxCBy5q3CtaGcb9XqD6tdUSOtzlRTcrwqNDpzVrx+ZGeAxiL8ZrfqLHwUUL1sxvsMoYteClChzTfU4qSG0SRaWypro0GicdhETYO1qXIEQuGkFPEiDhn20YuJIeuYA0konaJ1Y4vo3vEKNnLkI8J8kAGR2BXkKniKJtJiL9OCi+raUJcdtoSEhlto9zBnaQ0tqWtxA5wXpjvgjxKHAKYrOXgmOLGyMqINB/ELkVO+WeFu4V8MEnvdClyJOdrRjKTKBFYFiw7ZpciR1aSJjk7W6MnEofQLgDcOJy6Ltc45+D4EaGO1oYAwYW0O57GsswNWGcizMcGZgnE9rLzvK+zhexv2bcl0MEJr4KmQHkEQocmF5MsmER8qXuWD8ovIDw7btqAAsyjsYAQvlhFcdjtrAi1kea0aRp40hoqeu1nheHvhPbXcoXQjqFLkQM7NPAYFiGqKV42NkVAdzBvAjuPhBxhqVNUenpJHF5FjnaB1REjH/eP28tiBRYVVeaF8H/6tBg8i23x3/4C6E4jYVtZ7EJVRMc6CBtIrcwjLC0pqo5Slvpgjk0ZFAlHw71zU1RJcY92u6MBSdO2FHJyqM2DUHTYiqdIeO0gW2Ntf1foL+daaf3jDTkQZN3XL7NHQqOzLImYrmtHI54eCuJzxbamxRUX6vUIi+UMjsbjQTOHegWWRmY545vf4j77o9qKvkMCr6/FNlU201u2TSD0Jk/CWlV5QFgaT2DC0CZkTQ1ANoMAaxePmDwuzTUQSXhmrSuqq/CSe60iu1kNP6dscGoQhT0/a/D06CmaSzXWx8cznt3wMviWkiI4tBLozYZ381zZvFGjBA9Jj0SXrxiweWDBUH9azfFSwSPG6jrLcMgpsYYYM9bww8gapldN0SiwBuSXKhv6B4vDIIduYzHm0AYwawvot2AJCRuNYNHyuASyK0C0FxDMI/NnaHz8FRZygEYBGpJr2kw0ukDMBmRmwN4J+7MEjOYu0jCYohJsQuPb8/PL/f757f3ts8aWUaI4PYbdCmzOvenhw3s5eBJ4hEZaz5kw00EqWhJ4dNQUS9HCQxZRHdu7/LTwZAnoWC29Np6wqQs8afAbOOJJJZwVchi6zFtff9a34wMDkjiYRrA414V7KFfq3iORszo2+H0t1WReOOpaBMnrJFwJGHU8tGK5KAF1dfxjPE09b9h7J+zPQm7XaxN/XVFjBRe1/awwfD+WntkVktYPaWESOPGqMExpKJSGQlpJer0YgwcTK9kYRKM4ZShFTQXWgFCZcIe7OImcK/9FfTzAvPpYXHoGVwNcgCJEl6GLkLRfNhpBeH7pclASh0yjULkMoSMo2cmE4XmKdjPCJ2ZpSyx2BKSHx3OCdxhWP6zV4Bkm/yDY0BivTW2Ntd2PdZAw/9Rz2XzlAY2CRzpwjFdg0MQmAaCyylRQV+HJBqQWpHH8VBZYw6IFFo74E8LNQ/SGNo0+3aviygcWIkwSR6CRmaQ6dbHXFe/2qymgxUw08j8vKCewCW2kPbMQqi26ZAIFJCijp6zTSwkDiWKKxEFKUjvEWDxaBgagEJNsbgmNXGPVPx8roFataQJFhVgNk4hGOSqcNn7YOhSJrRk8zB4iviQgVcgTRVCrrrGswBq4ui0/tMZ1XtY7UgmUQA+PUUvaOmZdIEWyBPOAwAux9BAVzQXMGZUgzSxaCUpLpY8oRKvfr30c9KO2knJ5G0VlcyQmpaqiGTr0WSn820BSEl1mVmpULUUpWV6fYbJ+G/tWY3ks0qEwidiBp0wXH6F9aznMmX46KIqa7RBmDhQZJi9izVAEk5wfm82zE3MFlg0YO37F3/wGTN6E8ad/FeykzUv3rkhFPyYb4pCEeMswsNYHcoz4sGL7CWmWQEjc5BCVW68bNv4AStehSMw1eS0ebLS2uZQH+BCRPayxEy7xRA3qLEWlwmR5y9qOE56VRjXWh+b3FWY1ZgeoUZTVZAdYLqMxOR+ShRb+LWtnqeUvFDm4gtCdzj9QpyheYM1MOvUbtQtum3Jr4ebGf5+uzQiZEluXh/j8RaWo0TAJieCRNzDE2SGj5SJPEU5Y1IouDm32Zo0bHnVpy3y+DZ0Hr4WpnNjaA8kwKVGphPn95fn5vff7CpWwGDGGIpyFwklLl09mVmaP17LC2wYsBYlWGcxYbLmBIoBSyQChAks3lRVEwf3jLialx25XqjC6fQkVmVdf8qWxL9hrEgVzWcTJgjYsAkmoBInpsFyHZZXcoUg+mHGQ5HrVsLDMlFbOKABwkFzjtQe1kCQsgTkdls1Gmc8K397k+VjNchQnGooUJVpRQmZ2jdvh2+9ar20zhx1dD4nZBAy8xEocPPpyC7prX2BdtAPgGe7PL89BfLiJ1T5NXXzRA7Fnbhjdo7WalMtUuth+NCOSeO2CTQ5S6jQ5F0QmtWa6lcDUiUkCrhOlMZqKKltj0SrVh1daVzGQtX/kLq6bRT6srvLZoRrr7f1lvRqLg0gh4auQSfmBBaUThU/s6ONrIAkJEd8IORiyFks2L7V5xBZYCqHYBuA0a6uo+I0X31V1GlTbsI55tcj7x5sUwVGrHLosbrWLfUPfCRGZrgLIsunCbqmsgZACsBUg+aGJ1W5O+0N+k9BVV8G/K7C0WcM1E0Hym+yxYy8blnaGzu81PyuEbV2+s2yqkcmCuiDpuMuTMhMSb+tQGAxdDxNt+mux5BZdHrtvhzl+oVybNTowUbMJW/Tu4z9NQFfbpslTsSxmk0ZTTBQEdbHg88Dc2+nzjAds4WxLkVSSIa5fT2UMN+WLMtGpUfIJoOFyj0Ett7KrUiCK+9QgFWvMDjxAspXA4HWehGXveV/o+VjAeyAqaYHttGxi7oidowWShTbo91hIkjnBZc2FEuLeTRxkdqVYCQeAkoPy2fYKVvkMrZG7K1VYDJCrG9K60rTMbpeTsUciklhELGfGtoN4hJk6xjOfTCfxWSgzNgwCEO+UZJZ5AUpDvmiGT3SCRclQCToTXVndxK4+w+S7+sSaBds54ON+p7DkV6colel8HevTUp8Vwi7QU+I7Ck5+EZ0qdMSFFEKKC9DvEaNLiCrVbQlt55MxaUIqhZ4a1+C7qQWWpZ03LFvS4gYscXDKsrq+0WukDo3a6PPat3mBti5tEtVgzxd0JqocA8cocVnDZ1HArfZRKm8/5cQ0jAxcrMq5Bky2ZFVyQJETGqyQKS2ompVFJu7zJ5UOkYHXNJv7sV4X+i4dEIF1HPWdZbBmrStwa9QtlhBSRBUbLYxClMpqFDFR9xWjUhxYC+mmqDsgCm/b6X96oZd455c/En9CqPcMd7hVxbM+wJWOmU3hlGBxHUA/v732DEi87dtiZxydbq86xWdsmrRXBNySbqohKs3E1oulLv8TOZV8QgpmlKJiBRz/Y5cAIG3mzT8yEUpvROUlEHBcStQszLiO9XF7enl9m6WwSM+ZKGHUROdVzl3uee81S+9EvISiH5+nIY0NZ/c1CtKbBkgQVrL6BlzBsp/9ySUqzkzJ9ESlV/8rqaJf/KUSnCPZrWtZelV26nMIxSi9CL0sljp5DT7AFPixRVkdtLrRWniITvcmqg5C/WjDfoMT6nXZGSBqsvu8VR9dZPNRWT6iv/l+LDwfa8XrWAIapOEVNWBiB2BMDqqsccJMIapdiI6k1BAF9CO1ZMk5DChxn06BZYlm79jP/g5oxpwusU5GmGYppf2faRUlOtWoKuAVXRBchpQ1xHJ0t6JunadKuaowoiXIV4EWilJihOe3CjnrAZ4AKuu88/g5LWFU2rqJUhBaXPjPQVVlpf27wlVqLENpMKiqDBsweEH3UfjluHKUDqAkLBKQ0BFIC+Hhk1qzqNoLLM4DnAugpCe3mrxZy0jjtFo1M8dL1EIjM/owBq4W9Owys0MTNuvCnih1Qqywlt8AgEtn7cVdi878HEZVV3CaQOUwzStoGkGopPLbqN+OmkQqTNpQKQjbiTCUFtdV/mRkX8OV33rpsbmOdenzsYRSBA28JmTIwWpcrYuKr0vLuycXTcKeo9S1zzmA3tXcB8MTHqwosFxFJQI5aHtT3v1e9Az3vfN6le6lhc/skgz3KrZKFoBAOEn8lBKOiJ9hfQrCQ/QRq3IloNuRynyv6UFwlSOKki2/QEg+UO3g9t/CO/1U9kA7JPWZdvHz0u8xE3Odf9RRNgq86jqWkApGYlGKdoyJ9TZa2z1tRVQUkv47Vf5wKpcoupnICBDHPYoHMwWWywDENNOdsb6yO/UM94AoQjDrNVCXZZVSgIRLqVEDQZVCWHacsCp84idtOH25YAjZfZAGkc90BS6tEYdcp0Y3qxGALO9PTzdOoyN0tMskrvq2593ybweym9mPaidO6WTqdSxLK6jIwl+TrgVRCamdAZ91R8MA8fJqwM6oAgUWc4oYNX+00mD8gCn5NaOptOANfa06iVTMgg/EDbUSaDx2vLlMtICcOUe2f2g8sdpM8lCCaV31bc+j2PVCy9RVwmDBdqUDace7OQGEBelqQ+VnAB3G9lLaUO1l6J/RdayR36UjrFK4SLgWW7AmXYugcqz6pH41K7E4RhoH+k7kAuvwd38mpe4SXqMqhWkXwPD2mj4D4tt/m1w1YG3qI7OmbcFGv92paPEndddmhAtCLULpBc1PT3dUflAsOTVJrCa8Hem7E00t2rL8HJqWbaO1tgBISw33lqMKzx/TOqLGUmF1Tbpk/dXmLi3XiV7BcJC5Ll0cDUHMBxOmnTonvshFkWtuvM3UCw+TbXdu84qq9Pa/m/XYJ1M8ZVaRrQBUGZtigEFMeWqZW92Z1I3SqUlqR/ruxPct0bXmNT8f5enYELtRexoxpmFNutRqLEkCeqyuSRdCYzIwCVcoxSsRmOhdcTEy6BWBfXzwdxHSRwIXvPCI0Yg7Uz6+AGhOpYlODMtdU8lJetT+QcFtiKVwoItVtWGRnVErUM09mbcWanpigoRYotQjFceD/LiDcST9eL4bzCc0YsCn9mdFVS1nugyrvDv6xFaJ7R98BtYvs19CT421I7Yfyl7CmnQB4xxgtORZ156V6JkE9oxEEYUQ7hC60CcIw4Nmtb6/v0MV0nzgHqxZGOhmlOfn5726fLbdj7/sTNY8wYU/vV1qKKCHYaeHBbkEyJQqEBvZmC9mclbA+H6gt1HMBmxXINYXXXh8JP14HhUjlV+0+7IO0Ch5AAguYzVkvQC7xsshPNJWW2Nt3A5eL0QUK1uNsXF+hLm0/KCgidtxwOLhk+8RW8i0JqPyCnIjoBoPRsAofDkNMODnlQXW6S+LixNuzs5h/bwKKSyv2aKuvvAxjFcIlroKB6pr48zYCkEGDNOygKmrOJdmuaW8iZHqfj5KPJ5nFRKw6/JmEJ7JBdx3VUIPApPGaooTsvS6pMZ6fsN978mth28Lnsoq0o5LQXr29kvSj3w2s59bfWD9ZLGES4ChrpKEcLhmlIxyJYMLxKyZDQS4SaS87/eHZQEZ8SEr0xRHHe9xGY0r1vi49h6fMf+4XeIjzKTtCS96uJUJ2wrUcApPqpgSGxpgPNAUm71mu6urXC5wLWsBXq8kFX6oxnp/fwk9g1SYpBAhcmeHCulUDH69aFABZrglXtWIlSUAyXKgZ3GvpJnA7u/vyLa4WIXXGfelBRavpDOmBVpMzuRQXCh4hlxdmE03cSs5VHGpR40QF0a7L+tAVKnf6m6qKq6ryLCmRErA+jNmQHWgqYp9HWBVKr3BJiPI1u+14/BaYHssu7NlgdHzsbxnNwi3QIvXzoD5JwxAIf7VkbcCm8AtvLYiY4MXJkyWTwMPl6wOnr+swMIjRvEZ5QHNpacSirLpL7DUL+WiVnkuMTpukUCnZlHoI905fLX26ozXqJepqIKBTCvvTvPf+XtkBPbHQJM3oe5wfio3gZuL2vnAColbFhhdx3p9w//4rHBqRiggblnSqoAhdDEerwKLe4dAi6jrFaQ9X8zXxUaFFXObLq3ElEsKLHI5/oSwBJ824Xt5Nn2yG7ZQxJXi/bhvZ1kG4NNTvcAbv7laNWOZ70BOV7jTXnTSkfv8ukq9fGxJlwG6A01FtFw9yGYFeiuAVyEcjNTN44V6s8NWAyb0gtb3zy90Hev97S19P1bWwgEDViPNmZgFZujFuOLQdcJ7DkTdV7wEYJrcaIW65Tn0aWCQvckFlpetZPcNghraKAEob0knx2C3XR593bK0BZjrREwv4cTynrvCxaCVKTpQDqhV+Yirfrq9yuTOK+g9mECnAcYDTYGJTU2wvYq0ciU2MRC95bMeYuQ40irMt5nBpxfXsXAzFsosHFSImjJ0CdJClgqBh1Ug0Ysu6Q3Nm9EG7QdgM7QW6BBa2rBhFm60goSGS0LTCqwrc5YEH7xALAvTaZdcCTaF7HSNKDV4Yp8QzOhK6B2DLOa06xDp2Ml3rNPtt2zIpE8AoSuTjMJ0h1t1iLBS8tjsyJLfu+RQMiE+RhdYXE9Lz2XYmF+KWiAIAcflK/xR4bcaK8RNqs06lG4QwDFeqdET+4BE1tQ6kJz1gq0cmFyywt3rz60XWScUWBHHR5odF50Hft4sJ9QqHQzOqqn9vRIsIpjw0MJmgvkCS61FKuOztABrfQyoQMsIAapg0UxcyiVews32zU+gMY1husOtGfuv6/bzgyIKcujKwTYLm09vNjJwGxYKrG81VkUcWn6luqqYOGWoJNs1F0IJNiCXG9j5TwO77hQfWmBFVxbQj7jD3UZdZ0Uf3PKmBGZOyeXIhGHeeSVQN8SXYItG2IZr+SPOkYLS1FVCbay+mWUQuD2myDDd4dahMMHQEVuZPhfAx/Atm14yqhlbifDOMcOxCb/mLVcFWLrnnWqs3POxKkSqDR1OWg1SG8BbdmhbCDU6G8cuxdvBhhg2uWSF3oZPAw8q5HRQgZXJuYiJ4EMjghDTjXZF09t88JIeXNLr7Xclw78HY+RSCgwFv3GG4z1DKKrz9GRwlRabGBZy14QapjvcWmn9jOHCMOAmAlgbxyXvOPJGMAP62MAwRUMHv4vfj8XM6vOWd5gZQSGM3HAmmFo4vs9dxcJHDRRIFBvrpbUDNvlyGzx//Xb8dpkuctQLrLKc28c4hxOZHQy4Lj6+TRYGvKKKWC56FQ4rkpUY1KAGU1Zb5HSxiv9YFet8NWyO/KdbDFuDE5xUnYMsb16WwNipgC02HUvVpSi+hxSSiV8NhnE/Ft3zjr1OdZPTIzC2HPQ0nCRRckBjmmBmf900snCKA7X4M1bQq3XJ6uBAxQJrbArz0iUF28GM78npYLMNx7KeGygdvcIHm99gcfUUS7FE8MIGWWi01nbv221Hten6E4DtHHKG4a6LKQpQg9gU5GqI6McmJEMOXhqINhl8z/ui92MBJew9h9yGXvGIKWaCSxmeh63ezAWx2U8DP8kN7IPcqlJglUbA5peyZSnLGLOq4mzT8tHYhVsAACAASURBVPUdlfFWZbeQzIJBc9XUeYNXxVXEgLlYFf9jH8o+CPIiYeMHnXDYJ86fOsZjKdfg54ryWUNHLripOHvbsNlcgdkDg2HlzwpBYBt1jvnMgY3jNorHYstAz3RLzMA+OciMHtl9v7/jIu7hBvZB1HUWWC3LDJUjPumMEWgDDHFMoRwb9j1uV9iLTaIEiaB4YZIV3Q8zFYirCTsTyYZf87eAUQGKH9tEdeQ6InTjtgROi7npF/VLPlkzjCnqFthRgp4px2bSBSbMyhXy7IbPr6+vnz8HwV/bWE5dOU6zxLopFgFfQdSVU1c4EpzIK/Zp4AjqmgusSDIusBVG3p53f/qIFpkHC8XIAjHf0yHtGzGzTG57BJLbwysRF+3cJYTuujiOqZAD/rpInrV17eDKSYrrVF9A1Jwmmy84kOkHGpYEOoeOdi2GukjsCc1CcruO1pn0FToL34+Vpq7c6EEka8ErN6R85Hxs/GkgLuvQRassTl14DQVWdyqjcopyopgKe/DKmj1twEJQum3eNh4wPJ5lFQ2PyL8JZmN/iwWYQ86avBBSSHd9AHYBvH38G5LlDcK+a+WzFahL8HOGJzzD/bOj8YRy8Xvez9SdLEg0EM1Ds3IfvARyhS4JrdEpBfLxPCvUGfxpYEWpowivQitWXCe1FFPyp1MLrN6YLVT9xfoepF14XiFFVhE2nHbt8oWjmaoiWZBVxl48OMV1qm8+bAlm6E2QjC4MSwyYD9vX+BDwBDCg4uWDv/ZYPitc8xmkYIa5qtsxTHKeQjOUfD/XBaymL7dBYdXx56gq7JUXWI2rTuLJrV4KymuX7Neq3RI99F1Rlrzm9TwhKqCiLheGrJWiCj0mQ+rtRhAYUjigLaUn2jcPHltswzlVVx2pkWsCx9Zv50kGLNGT/ZvEtOvEZ4VfxbMbDNGTeYa65py8c8OYE3V45nFWHV9u4xvaD6+kwIrmXB/K7tgt2tP7TnJ2weegO2lzT6Ztcwpm2SuC5KHJC1cBvRFRH14dulv3YIpoigzc60MftnYgSE0dngpTwFN9Ano4PP6cVHTVhrNJhSl2r+zrz9S66Cme+QVg4vgJzm02wXxWuOR3QsOotHOJWBmUX2HNDKUmioeX9a8KPFiHG63AQuwG9hRByb5OeOkCqyYiYCIDNcEUAU1/8rN2gRUBvlIzM00XYzg31jhpJSuAfy04RzS7i1VmG1oc8tEEc55Bnel2QhFvg9K0TR4mpJ3GqoNx8KpgxAYvAc8SLanDh7oEPB/Q/vgRPiuk9wfeuy/iGqzitTflmjPAGLR4Vexphsc3sNPtAeqllW9XM7xYgVUWE265Agsg+IhixwvfKmEhF9lhB8/6bakmfQ9eV5EFs2g76CkJUjz2ST5KHHqx6gBMTpuXcVAaNWaIznRHxap02JAGiBK/qOi8Voi+f8vssUzzfh+fchW8OKJdD38n9Nuy92MRVi5i+PeKQb24f2vhuU8D51yyATx4FktJDsjdBa9ggZVMu3axkroqVQVoFhhCF4YWgCEQDNdEs6Xa0r8Mxj2QLHfZAXt5+mfBFbK7WIUAuBxlv90ZEzLdMf0IwyCBsfHndhfAENUI4izUtvTDs5JG/Z6J0Ke60J6Z8Aoh+cNWvh9L2BYCfcxLHS/uX8ADXekMg158Hoirg0MvWcW8VkvgocCKZDxYxAq/0qJqI3N3iXdrnnlkuOZIk3ibqb1bV3zTjMRWt8YOAZZrLqniyDs0VE+tXcBhBRmuM91hmZ2tWw4Zq12HwE5jr53eR/XiBK52P5aQDdLwErfjAI3u9NpYOGsXYIsjDMKju6x4h8Yt7Ge7prVUEegKrFPWk8Chq1RqV6qItW83YAUDgdkmH8B7J1cEZyzceLwKuJRBu4tVj8/1MQwyXGe6j9JC5wjQYPoLjaU3o9L+NcR10ML6xioCK8Sbz7YVUsgohBXGpIaaGuva74SWjL19tLADvDiBwLo4QsCTWgpQwbS88FHgOvVDIYEosJBzTdqFGRImZB79U359u8PdJ3Q0276umcf+VUD1EGozxBRVQMO3nULIIsDC5rStvIxJme4wktZWiW2oHJBF8pgKc19e0LARuggN28S1mpd1EaoTed11LCKbFiixnXotTiCgr47w6UluYAfUSz4NTHmX+yQEEBCJWHhBN14iKzEuq6xsQApKmYSHHwW2ZWWOZ/tKrtLZZw4yU1dBGbiWfMiwKOAz6XEOwLAWYKQgKUeY4TrTHQaRbAW2IEIill8V4JOKmjtjCJsFqk/sRziabYqbhVfK9OtYxDcWZXls97tYPeoOApdFSKUVHjjwTI8KdXF+AL/IaZrDF3TjtQjWrxWGhIjw/NWzjWC6Np7snwFyWH/dsZ0hOtOts9xs/qM88nWzrcNXrxSTTPLXUHoVoZSArikx1Ah1Uo1FhRUQtkQ3zbHTG40cPE2sIkcvsHgBg260ki+3eTH3Ly2FMOiNBEJ3D1ZwonajeX+rLVZPnmY24UTIQQv+NQXrmasvCXZe4mTvYhWSYe6jkuXdgYDJpLx8QOVHdLofqZAiG69OQWOmA1eGwzF6y6VWIeR0QrJn8l2FsNxwxZHjaiwhnNjuDHCe/jWFoqL7nCgqrLjIi30auH4oBhHOK7Aowr72O9zNmkTU8LJcc+NxMa17sBnbmY9qYJknVlU+YB1QUZBtgGs0Xj82jzs/otkKF+G08czd7BswB1Neg5xxU7IIhfALqc4iHEdOoWTtGosoV8/f69N4FcL7/R2M07cG5sqDqxAWxqFbpDAHUGXWvAILFeqcB4KV03Ee2bTvbh9JOVrPkr/ilsN+jtMmGksZOl6sonkHCAWiJIkWDLxsiF2iG4C8lfkRm7Sao+A2v36+qzHxsrFBGoVwdOF1GTKrGBj8PcM2L/Rbo8YiyonrYZSvT+NMhKDbXgKnvw4sDCYgxMjFo9GncV6BBVqEnUIqLxlW6mdyMQFkd+c/klK0ZYF8u1kTpWtA+eIYJ6VLsbDxoXkEM7c8EiXa11g0yJ+QOTaM066z/sqN2eInu9iYddqF8gUJX5/G5hqLVhkiABZqL6BzXK1Po7CwZZ6zDd0t9GEg7i6ga1aNj7N6IBonFlhckXR750oBJv2Z5Xglkst1j89FZKJ3sQprSlMnLVEk1ct5zAIoglg0KKtKBkiQ47iEcaLRux5eqGLysPVBEkJ7Q9tkcsrVrU9jVY1lkznM0lw+WT7XpxEmDAKJJ5cR3U9PN3sDe5au2AAIQdfiyQcgJxZYMaqWaj8vNrlUBZAUGFOXYpiYq+uCCRTwnVVkPV8bHKZwwGW2sMtaW59u2fJFjRy/rmrF+21eHQNmj8ckZJbbjXaLOgGzRwPm4luaqbHe3t9foldHxIQLk/n6NEpIavma71+nN8vNl6xigb4+k5MKLHJV8eesMTZnthNgvoJy4ToM23tpkTd0A3DXq5bjPOyJka1FRBcNSqNEnMuAZs7Xz3EwcDWQQvuB89VABiPn0vQTRHRspBrr9e059Jx3yur8Os6Zfv4gvu6tp+X7mGGsemnlPLY4k7MKLP7M1ZGy5oHJegBnF6HCDqZv6jWXsOqoKB5t/kBAOOef+oQ9lsQjdcdztibYWGOnLawQ6TXTvo3tYsDVVY9Me++m28Vg2eS3zy8vb67GItY5zCmtlwmYMQpggGwpSGez20DCLly1grRxdZUPtQ2kL2Hc8awC69PHbaXg9giVpEc1FRoXD3eGPTtHNOjDR3vpMpAvm9CPqX8g4HldfJ0GuR8+/ixENKJyn4VDg4qhmViXdxDFs7IDV05wDvyFIIV2AMDL4QkeYMDe3cFRFzc+BEhcx3p+fbt9vN1f8DDtixmLqed4WCsJnaFK0BaGJX8aiNJq4CWrM0K0VIEMShjUeBsk9yiWd9Rj41XneEeDeDEfjsA19LoKy+J623mxnz05AxECjneIRWlF1dW1rxPIy+AUMVE06GwCBztxL6H+vY12GG5X/Zkk/RZDu5SzxRlmMsg2s5cGybzDrvfPL9je8Flhm42zZtGinhmWbXZlPY5PA/HCsOfnlzkXrs6GZEGep4xumXQF6/KdlHh0uyknu8bNarRDlpGvxQ+V1sw8op/LqmUsXARIjmjijd7l5sbtzXEpG9NJwuAXVEDjBEWD7dAQz9QT6a20Y+L6ZK4Hkngnzj3ezf1Yn97fW58IoBEQeRnrkRnAHAQJ0uXTQHqYVWvAB5S1NgVBtgpTmDejwJKEowC2QQTrxjzy/QLub7AgMIUTSaBdqal/N+aLVUBj64JlmcdORkXfRa9SxQBZ+vdlNt79XeYi65ZUOy7/CvPk0hX2mSnkjyOzCr5hHmhCC4rux8I9799qrCpOI4N9j8vfBoLyq65XRTCa9YeoCAdEbNqY9hkFFjyBx+CPwR+Uiv1I9vbdu5ng0EdsHFcThBJUBUPMOo2Xz/7kZ8X86UNhL2XnYGIeCqaU6NJxsscQ8/NtsUT5yde2rfibKdJbQ5Z6XeYfiMzLdjJmHkThlY6zbzVWmp/aXnwUCO5RV6381SyIissi0yN0RoElVzI8pSMOebXRBgPhtLNn1twICLNkjjCtWSZ2KvIvbVjg3hOTy3qz2FpPj0dSHNxuUCxZmKC/tK7yTQDoFZKaDyl4rFBUQwReFPKjAj3m9KBFFzbOxslBT8ujhvlvNVZ/hID4u7nLip4x5pJPv+RBEmoCZBCET1MKLM5FQyyQNAfR4HK3JbVo6xbQorRhDhUzDdPiUxqksUu9uuok4tQQV39tT3/clOMvJSUzTlIbhfxM8CVmAo9bkiXjLxoD3sBhA3tuU2mY22BrM84GXT1T5uDcwr4J67caq4k2miR/G3h7uj17T2Cf4/RmzP7EtsXuS2g+nlJgNaMLTSSypB3ZXHWDUS9cQvAV2jLbb42GWlFUUhFNwvvuitVZLYZmRpznTG8BAzOWXynRqXG4m1QC3tA/nasShY+SdonD4gtZsrXD/PnMz9dY4uXzmIE4mX1O9qnVcYZ0buEa6xWXX77d834m59wC4uUPA/FR4O0WKBXg9BnJ84yssuVCnAHWKsEXDO8vg9zb4oGX5JUvCxXw0jhEpRAsz1WU38xoynL2uAC8CtACPasPKeU6MI43F7KPcsQVG/zq3HbgKwlP2j+upv0h9jD4QR+nZB7V2u3t8+dHuee9I7R7p5ob2PFVet4lq6BQcY6+64PKOhqvwjm8wEIJjHvhmpiB12gebTv9JVoTgjUnBfbhGqCF0y37iMzCGTUgvidjS5k7jjPk77f246BVOUTArJ9wQV4Cp/BPob9A8APDo/NZFapkLLtnUNp/lM8KhbTJrsd+LUuj6m8Dv28hWh7PwwssvLGpWyec2zitTU9uCyTTEs+VvPOOyUlv0lzQ0g++UJgeG9PweO1D4qyUvN04jn0iMAzpQTbaB4oA5tmuJ8s+Grl9ITuAZ/JG22Z8H07jgAnko8b6/PoKGxf/rBAI+ygtdSOod58GtvE/B2epPfFxk3FOKLDitrqe7RPAkR8BOnUPfrDbk4ttSczaJ7bEwGJljzZQc/eq4M8MNfzH6qpHIxN4J2exHoY49/CbiraNpUd3zdxHobQBJ68+iZoaRvrGvn7+/K3GAoX3O565QB8TZT8NzPLd4PqszBEDZKFr5vw4yusKLLurkLVLXDqyb2TjZC3SUws0uOOb29VhEhwwhv9BYhfxQhhGkOvAULogQRd3Df3F0x7kSkbA4vWabAYiZA8Rq6VRcjXVILNk9xL+MRivSyB/z2ss+TSQb2BX4/8qVzbED6CWRGmDZH/KhALLc952pWq5lEZVvIfU52i143KY55FmU6F1QP+Nfj3EHxISCf2+LyPTroCWZwSMdpau/Dn5qwHzeV83i6JB1uQpU7YEFZsS3jf8r7EDfA9rLP5uG3prV3WXVW1UwMu0yaz9EoRDoY4tsFAjo0A2KwpsL8/42vFg0BVewXLRbS5WcUk1O+gLsV7NO7jqWmaO64ghXFcRF/3851RFEHzvm20WCrgATV3en8jtY0Pld7H9S0CX7+9PjUWXrFD33G5DSyvxzmMHql6EDSuwOJ+hWH56wp8QftsU9DxWxiZVDPwfFFNG++aBrAfaKErO8uoqqG/7W9oT7m/VwImSRIPUVRiQ3tepl7f/hKhvXa0MUCqi16pvsL/uGgtLAI9dQHijsEqvglb/hudB17f3LcoFFhEqbLMneWNPbkFh13xrTTGQuSpE+4RsFt/qqhSNx74MrcfhdB4Jba6ruJ8GyKDIUBr17TWAAVtYle8oDf4fgDsv8nH2LaqqzBa7fPijxnp5fYBnkILS8gBAXYXX7fY04ZJVMHDLoQanz2wcBFWjwPLepwPlTFK+6bIMmPeIxL+44JsfLDWlv6tCN0Qv7+nUsZcUGlqKKTyOvPwgl1sGpa0wL7ydSxf01vI+GWrMhJL21aHKSrA+MDVWiWGXjuFnkH4lNZa9gT3/pNDRlMtCfIgYUIcKq1sLLFlCcA7yGKeycDqrznKj3f2VySc3CP1rMi0h+xCkI4BLs4AX6/bNBbxAr5Ol55bTkKaGR7nc0mRc9STORjQr5II6aaUxUCdVfzQsXQ4qLwbKR3s3rAg14pDHqrHIiH0iQEjg+5jBP2593jshYvCs5geKARWosjYhqqrAwixyCO0jBd7DAzbg5lke/H7psbmV3DBqD1didJ8BlIReJcZy7ddVWAwhOMHG0MCvvU0lYQVJMvmoKBsFBRwbBeqxddXzghw8B7rbF6IxPy4G1C1EjfUoz8ci2+laNv29Hj4KlAP/+5jVyekR+EAx0LOyxAtOQrbAsouHfOlmFfH8cf+4vUSXXJGIb4MsA+Q2OSYv2EPbu/RvFCMW8NI4AS4RrdwlbzBoIJ3mRo+0FjEgK3mkkkVlm5TECUkd4mMRe20MiCMoHyWWgvXQAxH7QPdjgV0prXCX1fqXMx4oBiRsq9aXDD4shnCBJSsHOjC6ZPHYRbT/XbDq9hOuPFsRrHUDe8EHSFeF/PMricvqfhigqJjCWOm6rbt2m7E3LCEz6WvvRgBXpaogH3Y1UFIKDtBqHCtdCyXLUSG2HhG54pSU8mIuQpsHdh5hPyt8wjfpnntXaIEPUFoBidzA7lbHCtgSGGTxAq0cJEau0FUYsWJO0CKvwGIXUXLBwMEpbAXujhjWSatynQR4om54KPc81GeE/srnmgoXDqNuOIZQpD47DdNpIFgPdHWw2WjOS5hd7oZmVWaiRjnYi6F4Pmjxg7Z4Xv3A3QZRP51nPFDQymeFSAL3xWos8+U2T7u/DZwXBo2e3017ILQUsfHbc2XpyZidhfbkBSNoEM4To+zoyt/r1CwlwC9GCy+QE+hfFIl08MZfYtG3MS0MkCPYBfKjTETUZWXTG0chEq5RXI+3IaW6FaGfmXL4G9DmRA7sH43WOELLDRSyjxG57vlYK9RY8IK88FEgbmE/x9PoMDhr7Gl5aLRwBGyHCXilSXgpGZQWEezlx28senE1BPiaBW/8BEAFrsp4MmTVEm25EFwCJL9HobpKVkwd13WjF7F3WRiyKAAvm7yWNeGrAQZfDNgg5MrrY5C0Qo0ld1mBr+zjrOAscdlDkPtYC1y4BbG8SZTm/FE1ED4ffiz6ZkYkbSH8PygilnIlCJzp+9M/ngm7TRfQUrW/5AvA4AuBx54gV9jHThcivtIbwGzhF6K9clgaLTnCWxS0Li59pdFeCi2gXBktrQlaFqO88FBxixrrGX8Rzzc8Bagf2YTS6u3tDSsBpVW2uhIgo1w20syHkI3sBG7xqtogvHuwdK28OD3WGYN8Mjyfm32ck1aNsociMkL7DH4jqkPNUlGhh7j1fVHHdd3oEJDvXRvS08FmKqr4de46jJx/Ssn0Qe7GBTn9aMUX5IiTm9TJ70erDikh0FzHwn3lz8+JYVpdcASuUGBh4LPAl5fGPfqBQhe8rYxWsNG64FdV6DY6TyuSvno55BsYiX/WPeUmH/cibybWXqLXG/jtcGOA3nkQcSFPVLNZPWHDoXpUtdpVNTcKk2yFnzI/6I1G0QOmreLmMtMag4GdgVUx2ReNaMuoUB9FNdaXV3CEr55RF+4E0l8G8hf44nsDXWPbAXlzsXe2CUPWDAZJVud1wdwW7cFjYoWy52OlpoTr67vgFjDAWwh5gjb0OjbyE1h4PbLv4wx2BldWtIOQM46vfRMNMbv/cSCf550TnPatEQzQurDvVtkZe+oX5OihPswCf8EAj/HK7jBPXKjNUTGZVe1AKyFRNeuqwa/ffX5+G/VZIZ7ATt9vQ38b+IILVzo2PhS9SwWDhGVqNXHqykbvkCtYeKZs8M8cdIJmVSnGJYCXckse/fJ7Tt6Ey0e4AomqoVBNZRBGuEZ1jLo4ZEWwMTRwYtuKmPbmu6Uhvshmpf3si88IM+rCRBRdDPCoHvSmYt6WuRiTHnaUO+YcGLKAx2hukYoaS57zrnUdC7ajrgIJhbdY1YJ+LHolIK+NB9EuSLJsZ+kdUmDhA2R8dpwF9xUMIGeIGWC6OwWvv1Mu7jK4g+uiMk/U0V03eipRy25R5I//v71rQY7bhqFOvJ7coblCcpq2l+y0h0pnktzBduo+AFqtfqQIEPzZ1ow9uyIBPjyAIEVxJXLIpmvQ17GmLGxFVZ9mNAZ6ZZDY6Zj6x8Ydu2q1TzAeiZTaTRvau/2uMG+dSX4bCNvNu6wSwYfjIVFB7WqtAEuv4WhUmCz1Az3u7k1Mg07ZMgyelKt2I8dpQ5EKBgwRbV0VaUNWC548oXXHCd2b4s1XLcA3V3/uHSHihhlO2XWtMr45braA2R84mXblYW7WLjjUfPtu2o91ubOtY/16fsY1Bz3NKm+Klk73Nh7SJRvVrAxYpkc53SME+H2CpYmga56CTI4z9k2GxqF9zemMWiCoqU5BiQF1mleJJ9KHjgTq1issCQJ1SAy3whyU4Djc5FHJbV515o6z8iPtTc/59vc6plzd4Z2tCqAHvTLIFdBdRKXhXiFvYKek1eR9zMMxXAewRJ1L7z4E7LSZbhvDA4xJS8gU9cEDLph2rNOsyntkAFMWsqKIg6Y0LOAVJpf2Ybr4g6jT+kPBtVCsEHCxzqzEj2A1BOoh3Dy5I7WDjLS7WRgRG9XstBAAVPEDu2OMGAbUgRiGV7GOdf8rac87dlnR+200j7MqETXDMVwU8JyyHKneA/ZfwRrxEaMHGYjpB1/lrv4OGnV09atTRfMdjOLsEsukVE03uf7Vsehp0JyhJp8odduklI14VgdgmNwz7I1HkL06B7xxT/8MbwDH92OBfGy0gghuBXYSNsMxLLz5hrFoK+SRDWD/FSw8xqPareVNuNu/TpfdYL7gYtUS3vvQvWQj9JmcwQcq0HzH3CfUdE8BEQLW4XlwQ9Fb/rh5hPyhZnYJsA7gZYuv9DP5BKaxQ1YewZmxSB4OMK1j7Z7dgHkVHruA6RU/gP0+s5v4Bq2AeZtRMXcTX0r32uYw9l/Bij5DaI+k/Zkr6UBSoyOs8l9763tEMC1WiT8y+bKIs0z3yxW1Pcf9BD3EsZNAFbQ6KizNSW+AiT3YDFiWOC/NllF/bySfmjHvx8LjFuS3gZhXYRP7qWDDCsORnAOYuwk9eKdmP6G2Xl4KTLBG6epyuQ8aOEXVifVRuHFnIyWyefkF/8QhHlSpdagF3InKUShdWvjL0bOU5WkV3ytNceFS8pV+Bg3NJ4WTUwAlYWLVA2BtLAyH+fFy+fj4iEnV/cOD1thW9YcjOSXaN2RKVzUIbvQYv+K3okbJmFi3oxTf/qN5FQ/lyE0J6SlmqKYMpHTLi8YOe10m/UAcfYAO5sfTJWq61QIHxrQ+FSJZi+vqE7rmo/RUrKdAOTtfC/Bt1peOcnVKMgcjkjwKZixZ4X3M5JhPnx5e7pq8Ezo5ELYVRyF5izvhu2QVGJhQt2AV5wkWdvU1N2nPFnEtI/g0VKxIp5LCx6q9wm31q35NNKUkPoOAocMRN3Sp1R0IAJQgdITWuypxCt+28/VJ74Zr8NUPDIpD6ixo+SBQU7DXx5yCKl7HbGxcrVcpvdrm+Rkg8aRQ2XZM79JJ+12hF4Z8PSMGBqyOZGYp6iR4nG8RYjqPVynle91DA1ISZSSoasi1MR162N+nDop+LIhkDBUndqkZVwucAGhaLOlSG/BztoJgfTpsmJvSzCmFIrksW/NQ4eKWwmCLOAQMuNjuCA6QsIGd7gYevY85/rtCRxiOqgbtgPvYkDNdBUwnkyG/aOHxm1cwaBhve7Ruv631t9ZpiRCxL14pl+YtdFtkboaN/omdAiO6SkmjkCrxXAYtOQZO8fZL+91jWrrAgIyaWsES9emHgZjwYWp1iY2bNMd6fMJLUmzPeS+B/FRnVzyfopUKS8wSJN79JRFIrFosUGJyoTIaS2sflI3mQaLc+K0x622P2xNTcywQG/ALu0nDoqaumvEkgQ577CkphJnH52BN7jDilCQWgorcCpa50k1pYUUlMPM4Adyl4q4E5sI0ExcyfJZuKKgf72P+j7a+YGqF51kFqy0K6HeF73OsBSGFPkpsQDk+FGoiU633BKuenXQHkC4i+chkwVe8U1f7GhnWJvPdg5AvFBsWuhUyjZN7mOdICfWLXfHkF+kyu9L3EwYGJL/nJ3dxTZ1U5oXZQJdZpBVmeeYCutLh3cC4OfOzG8Zax4JRY2Q8uVznPtMzZs8JFsIR9sbDLreUUxG3wht5ctU5yxc2foG2XkuLRqMfTwcJQD4c+KNazwotPFhkznB0XC6O6fgiT7hrNYi29Jxks+quofwZX+NsScpx25XDA/vXgQONGqZWswEj7scSqxGYFCRdHhO2NbzK4ZFOzOWaftNFgjWx+a/MDndeqkKz4LRXt1cPxuoNHrmdbwLyMmLiIOGb1i0cWGSOTO/6nKQb6jH0t05FXQMfD5wts/Mg0dI1/pc65V1no1qFC37BfkkoxgAAASdJREFUMgGuBL0GshH3Y4GxClSr/CKVZWoVymcdYgbgjz++fzeYWkME6GQZkH9zRrOrXo9+kZVhDBNeJGjJ0TTnLdNKTCuaVLdqkQEG6bcxMJ2Vcb+Bcwh5E+eY+RiOarGUeE47Vq7RR3BaI0m1xqX6OigkmZleCfMqfiWzvNzG88YO7hVenp7Gej4WeOsrQngmcNrRpEKhCEmPpbnmz58/Pnz58vX3P/787fPnU/SzWOgDngriMPH3XeQIYV2dt1/OpWbWVXMOX+yIMxqnQZsOvJ3DaDdCPz/MTI0bAU8Gu8AWXeX+c15Z09skTLIs9ImQLAgW4XPYlNagOSsOLciiMuewo+Kvo1DuBpZ+H/PD09Pz5YL0NxZpg0ZIc9gA8O+3b//8/df/63rKHvxEZ9MAAAAASUVORK5CYII="}}]},{"role":"assistant","content":null,"tool_calls":[{"id":"call_DHG9JQeTAUb7ugKxuMookNJ2","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\n# Show the completed Render Result in the largest UI area for visual verification\\narea=max(bpy.context.screen.areas,key=lambda a:a.width*a.height)\\narea.type='IMAGE_EDITOR'\\narea.spaces.active.image=bpy.data.images.get('Render Result')\\n\",\"user_prompt\":\"Verify the final presentation render of the red sphere touching the white plane.\"}"}}]},{"role":"tool","tool_call_id":"call_DHG9JQeTAUb7ugKxuMookNJ2","content":"Code executed successfully: "}],"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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{"ts": "2026-07-15T01:02:07.142634+00:00", "type": "tool_call", "id": "call_frjySSNGHixzpEfo12AohV03", "name": "get_viewport_screenshot", "arguments": {"max_size": 800, "user_prompt": "Inspect the final rendered presentation image."}, "raw_arguments": "{\"max_size\":800,\"user_prompt\":\"Inspect the final rendered presentation image.\"}"}
{"ts": "2026-07-15T01:02:07.163533+00:00", "type": "tool_result", "tool_call_id": "call_frjySSNGHixzpEfo12AohV03", "name": "get_viewport_screenshot", "text": "Error executing tool get_viewport_screenshot: Screenshot failed: No 3D viewport found", "is_error": true, "has_image": false, "image_b64": null}
{"ts": "2026-07-15T01:02:19.427301+00:00", "type": "llm_call", "call_index": 8, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T01:02:07.165054+00:00", "finished_at": "2026-07-15T01:02:19.427301+00:00", "duration_s": 12.265999999974156, "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\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. 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\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_3PioMtYAkDBd7YQa07Zmxvtl", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Clear scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\n# Materials\\nred = bpy.data.materials.new('Ball_Red')\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\nred.use_nodes = True\\npbs = red.node_tree.nodes.get('Principled BSDF')\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\npbs.inputs['Roughness'].default_value = 0.22\\npbs.inputs['Metallic'].default_value = 0.0\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\n\\nwhite = bpy.data.materials.new('Floor_White')\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\nwhite.use_nodes = True\\npbf = white.node_tree.nodes.get('Principled BSDF')\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\npbf.inputs['Roughness'].default_value = 0.38\\npbf.inputs['Metallic'].default_value = 0.0\\n\\n# Ground plane at z=0\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\nplane = bpy.context.object\\nplane.name = 'White Ground Plane'\\nplane.data.materials.append(white)\\n\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\nball = bpy.context.object\\nball.name = 'Red Sphere — 1m Diameter'\\nball.data.materials.append(red)\\nfor p in ball.data.polygons: p.use_smooth = True\\n\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\n# Set custom properties to make dimensions/contact explicit\\nball['diameter_m'] = 1.0\\nball['radius_m'] = 0.5\\nball['contact_plane_z'] = 0.0\\nball['lowest_point_z'] = 0.0\\nplane['surface_z'] = 0.0\\n\\n# Camera\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\ncam = bpy.context.object\\ncam.name = 'Presentation Camera'\\nbpy.context.scene.camera = cam\\ncam.data.lens = 68\\ncam.data.sensor_width = 36\\n\\ndef look_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\n\\nlook_at(cam, (0,0,0.44))\\n\\n# Key area light - large softbox\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\nkey = bpy.context.object\\nkey.name = 'Large Soft Key'\\nkey.data.energy = 850\\nkey.data.shape = 'DISK'\\nkey.data.size = 4.0\\nlook_at(key, (0,0,0.2))\\n\\n# Gentle rim/accent to reveal sphere edge and gloss\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\nrim = bpy.context.object\\nrim.name = 'Soft Rim Fill'\\nrim.data.energy = 300\\nrim.data.shape = 'DISK'\\nrim.data.size = 3.0\\nlook_at(rim, (0,0,0.55))\\n\\n# Broad top fill\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\nfill = bpy.context.object\\nfill.name = 'Top Fill'\\nfill.data.energy = 180\\nfill.data.size = 5.0\\nlook_at(fill, (0,0,0))\\n\\n# World\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\nbpy.context.scene.world = world\\nworld.use_nodes = True\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\n\\n# Render settings\\nscene = bpy.context.scene\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\nscene.render.image_settings.color_mode = 'RGB'\\n# AO/contact depth\\nscene.world.color = (0.8,0.8,0.8)\\n# color management\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\nscene.view_settings.exposure = 0.15\\n\\n# Camera clipping\\ncam.data.lens = 72\\ncam.data.dof.use_dof = False\\n\\n# Save and render\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\nprint('Render:', scene.render.filepath)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]}, {"role": "tool", "tool_call_id": "call_3PioMtYAkDBd7YQa07Zmxvtl", "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_9aJ5afTvWc2gp8ThaSzWwS76", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800\\nscene.render.resolution_y=800\\nscene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'\\nscene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False\\nscene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Eevee quality and soft shadows\\nif hasattr(scene,'eevee'):\\n    scene.eevee.use_gtao=True\\n    scene.eevee.gtao_distance=3\\n    scene.eevee.gtao_factor=1.15\\n    scene.eevee.taa_render_samples=128\\n    scene.eevee.use_soft_shadows=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\n# contact shadows on area lights if supported\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT' and hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n    if o.type=='LIGHT' and hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact:',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]}, {"role": "tool", "tool_call_id": "call_9aJ5afTvWc2gp8ThaSzWwS76", "content": "Error executing code: Communication error with Blender: Code execution error: 'SceneEEVEE' object has no attribute 'use_gtao'"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_mAEZtzzTGgkIdJouyXwaMD2r", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800; scene.render.resolution_y=800; scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'; scene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False; scene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Version-safe Eevee configuration\\nfor attr,val in [('taa_render_samples',128),('use_soft_shadows',True),('gtao_distance',3),('gtao_factor',1.15),('use_gtao',True)]:\\n    if hasattr(scene.eevee,attr): setattr(scene.eevee,attr,val)\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT':\\n        if hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n        if hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]}, {"role": "tool", "tool_call_id": "call_mAEZtzzTGgkIdJouyXwaMD2r", "content": "Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\apps\\console\\tmp\\red_sphere_ground.blend@ for writing: No such file or directory\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_WCRMKni9yzRLSFMzJeYe50HT", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, tempfile, os\\nscene=bpy.context.scene\\noutdir=tempfile.gettempdir()\\nscene.render.filepath=os.path.join(outdir,'red_sphere_presentation.png')\\nblendpath=os.path.join(outdir,'red_sphere_ground.blend')\\nbpy.ops.wm.save_as_mainfile(filepath=blendpath)\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('saved',blendpath,'render',scene.render.filepath,'contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]}, {"role": "tool", "tool_call_id": "call_WCRMKni9yzRLSFMzJeYe50HT", "content": "Code executed successfully: Info: Saved as \"red_sphere_ground.blend\"\nsaved <home>\\AppData\\Local\\Temp\\red_sphere_ground.blend render <home>\\AppData\\Local\\Temp\\red_sphere_presentation.png contact 0.0 0.0\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_9mBemTtQAyZtOWpHf9taBJ3E", "type": "function", "function": {"name": "get_viewport_screenshot", "arguments": "{\"max_size\":800,\"user_prompt\":\"Verify the finished exact-contact red sphere studio scene and presentation.\"}"}}]}, {"role": "tool", "tool_call_id": "call_9mBemTtQAyZtOWpHf9taBJ3E", "content": ""}, {"role": "user", "content": [{"type": "image_url", "image_url": {"url": 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"}}]}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_DHG9JQeTAUb7ugKxuMookNJ2", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\n# Show the completed Render Result in the largest UI area for visual verification\\narea=max(bpy.context.screen.areas,key=lambda a:a.width*a.height)\\narea.type='IMAGE_EDITOR'\\narea.spaces.active.image=bpy.data.images.get('Render Result')\\n\",\"user_prompt\":\"Verify the final presentation render of the red sphere touching the white plane.\"}"}}]}, {"role": "tool", "tool_call_id": "call_DHG9JQeTAUb7ugKxuMookNJ2", "content": "Code executed successfully: "}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_frjySSNGHixzpEfo12AohV03", "type": "function", "function": {"name": "get_viewport_screenshot", "arguments": "{\"max_size\":800,\"user_prompt\":\"Inspect the final rendered presentation image.\"}"}}]}, {"role": "tool", "tool_call_id": "call_frjySSNGHixzpEfo12AohV03", "content": "Error executing tool get_viewport_screenshot: Screenshot failed: No 3D viewport found"}], "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": "2026-07-15T01:02:07.165054+00:00", "finished_at": "2026-07-15T01:02:19.425797+00:00", "duration_s": 12.265999999974156, "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": "194624", "content-type": "application/json"}, "body": "{\"model\":\"openai/gpt-5.6-sol\",\"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\\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. 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\\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\\nball, plain white on the floor.\\n\\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\\na soft believable shadow under the ball, a hint of glossiness that catches the\\nlight, and clean framing.\\n\\n</task>\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_3PioMtYAkDBd7YQa07Zmxvtl\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, math\\\\nfrom mathutils import Vector\\\\n\\\\n# Clear scene\\\\nbpy.ops.object.select_all(action='SELECT')\\\\nbpy.ops.object.delete(use_global=False)\\\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\\\n    pass\\\\n\\\\n# Materials\\\\nred = bpy.data.materials.new('Ball_Red')\\\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\\\nred.use_nodes = True\\\\npbs = red.node_tree.nodes.get('Principled BSDF')\\\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\\\npbs.inputs['Roughness'].default_value = 0.22\\\\npbs.inputs['Metallic'].default_value = 0.0\\\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\\\n\\\\nwhite = bpy.data.materials.new('Floor_White')\\\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\\\nwhite.use_nodes = True\\\\npbf = white.node_tree.nodes.get('Principled BSDF')\\\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\\\npbf.inputs['Roughness'].default_value = 0.38\\\\npbf.inputs['Metallic'].default_value = 0.0\\\\n\\\\n# Ground plane at z=0\\\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\\\nplane = bpy.context.object\\\\nplane.name = 'White Ground Plane'\\\\nplane.data.materials.append(white)\\\\n\\\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\\\nball = bpy.context.object\\\\nball.name = 'Red Sphere — 1m Diameter'\\\\nball.data.materials.append(red)\\\\nfor p in ball.data.polygons: p.use_smooth = True\\\\n\\\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\\\n# Set custom properties to make dimensions/contact explicit\\\\nball['diameter_m'] = 1.0\\\\nball['radius_m'] = 0.5\\\\nball['contact_plane_z'] = 0.0\\\\nball['lowest_point_z'] = 0.0\\\\nplane['surface_z'] = 0.0\\\\n\\\\n# Camera\\\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\\\ncam = bpy.context.object\\\\ncam.name = 'Presentation Camera'\\\\nbpy.context.scene.camera = cam\\\\ncam.data.lens = 68\\\\ncam.data.sensor_width = 36\\\\n\\\\ndef look_at(obj, target):\\\\n    direction = Vector(target) - obj.location\\\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\\\n\\\\nlook_at(cam, (0,0,0.44))\\\\n\\\\n# Key area light - large softbox\\\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\\\nkey = bpy.context.object\\\\nkey.name = 'Large Soft Key'\\\\nkey.data.energy = 850\\\\nkey.data.shape = 'DISK'\\\\nkey.data.size = 4.0\\\\nlook_at(key, (0,0,0.2))\\\\n\\\\n# Gentle rim/accent to reveal sphere edge and gloss\\\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\\\nrim = bpy.context.object\\\\nrim.name = 'Soft Rim Fill'\\\\nrim.data.energy = 300\\\\nrim.data.shape = 'DISK'\\\\nrim.data.size = 3.0\\\\nlook_at(rim, (0,0,0.55))\\\\n\\\\n# Broad top fill\\\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\\\nfill = bpy.context.object\\\\nfill.name = 'Top Fill'\\\\nfill.data.energy = 180\\\\nfill.data.size = 5.0\\\\nlook_at(fill, (0,0,0))\\\\n\\\\n# World\\\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\\\nbpy.context.scene.world = world\\\\nworld.use_nodes = True\\\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\\\n\\\\n# Render settings\\\\nscene = bpy.context.scene\\\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\\\nscene.render.resolution_x = 800\\\\nscene.render.resolution_y = 800\\\\nscene.render.resolution_percentage = 100\\\\nscene.render.image_settings.file_format = 'PNG'\\\\nscene.render.image_settings.color_mode = 'RGBA'\\\\nscene.render.film_transparent = False\\\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\\\nscene.render.image_settings.color_mode = 'RGB'\\\\n# AO/contact depth\\\\nscene.world.color = (0.8,0.8,0.8)\\\\n# color management\\\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\\\nscene.view_settings.exposure = 0.15\\\\n\\\\n# Camera clipping\\\\ncam.data.lens = 72\\\\ncam.data.dof.use_dof = False\\\\n\\\\n# Save and render\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\\\nprint('Render:', scene.render.filepath)\\\\n\\\",\\\"user_prompt\\\":\\\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_3PioMtYAkDBd7YQa07Zmxvtl\",\"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_9aJ5afTvWc2gp8ThaSzWwS76\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nscene=bpy.context.scene\\\\nscene.render.engine='BLENDER_EEVEE'\\\\nscene.render.resolution_x=800\\\\nscene.render.resolution_y=800\\\\nscene.render.resolution_percentage=100\\\\nscene.render.image_settings.file_format='PNG'\\\\nscene.render.image_settings.color_mode='RGB'\\\\nscene.render.film_transparent=False\\\\nscene.render.filepath='/tmp/red_sphere_presentation.png'\\\\n# Eevee quality and soft shadows\\\\nif hasattr(scene,'eevee'):\\\\n    scene.eevee.use_gtao=True\\\\n    scene.eevee.gtao_distance=3\\\\n    scene.eevee.gtao_factor=1.15\\\\n    scene.eevee.taa_render_samples=128\\\\n    scene.eevee.use_soft_shadows=True\\\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\\\nexcept: pass\\\\nscene.view_settings.exposure=0.1\\\\n# contact shadows on area lights if supported\\\\nfor o in bpy.data.objects:\\\\n    if o.type=='LIGHT' and hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\\\n    if o.type=='LIGHT' and hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\\\nprint('Exact contact:',ball.location.z-ball.dimensions.z/2,plane.location.z)\\\\n\\\",\\\"user_prompt\\\":\\\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_9aJ5afTvWc2gp8ThaSzWwS76\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: 'SceneEEVEE' object has no attribute 'use_gtao'\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_mAEZtzzTGgkIdJouyXwaMD2r\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nscene=bpy.context.scene\\\\nscene.render.engine='BLENDER_EEVEE'\\\\nscene.render.resolution_x=800; scene.render.resolution_y=800; scene.render.resolution_percentage=100\\\\nscene.render.image_settings.file_format='PNG'; scene.render.image_settings.color_mode='RGB'\\\\nscene.render.film_transparent=False; scene.render.filepath='/tmp/red_sphere_presentation.png'\\\\n# Version-safe Eevee configuration\\\\nfor attr,val in [('taa_render_samples',128),('use_soft_shadows',True),('gtao_distance',3),('gtao_factor',1.15),('use_gtao',True)]:\\\\n    if hasattr(scene.eevee,attr): setattr(scene.eevee,attr,val)\\\\nfor o in bpy.data.objects:\\\\n    if o.type=='LIGHT':\\\\n        if hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\\\n        if hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\\\nexcept: pass\\\\nscene.view_settings.exposure=0.1\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\\\nprint('Exact contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\\\n\\\",\\\"user_prompt\\\":\\\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_mAEZtzzTGgkIdJouyXwaMD2r\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\\\apps\\\\console\\\\tmp\\\\red_sphere_ground.blend@ for writing: No such file or directory\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_WCRMKni9yzRLSFMzJeYe50HT\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, tempfile, os\\\\nscene=bpy.context.scene\\\\noutdir=tempfile.gettempdir()\\\\nscene.render.filepath=os.path.join(outdir,'red_sphere_presentation.png')\\\\nblendpath=os.path.join(outdir,'red_sphere_ground.blend')\\\\nbpy.ops.wm.save_as_mainfile(filepath=blendpath)\\\\nbpy.ops.render.render(write_still=True)\\\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\\\nprint('saved',blendpath,'render',scene.render.filepath,'contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\\\n\\\",\\\"user_prompt\\\":\\\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_WCRMKni9yzRLSFMzJeYe50HT\",\"content\":\"Code executed successfully: Info: Saved as \\\"red_sphere_ground.blend\\\"\\nsaved <home>\\\\AppData\\\\Local\\\\Temp\\\\red_sphere_ground.blend render <home>\\\\AppData\\\\Local\\\\Temp\\\\red_sphere_presentation.png contact 0.0 0.0\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_9mBemTtQAyZtOWpHf9taBJ3E\",\"type\":\"function\",\"function\":{\"name\":\"get_viewport_screenshot\",\"arguments\":\"{\\\"max_size\\\":800,\\\"user_prompt\\\":\\\"Verify the finished exact-contact red sphere studio scene and presentation.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_9mBemTtQAyZtOWpHf9taBJ3E\",\"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_DHG9JQeTAUb7ugKxuMookNJ2\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\n# Show the completed Render Result in the largest UI area for visual verification\\\\narea=max(bpy.context.screen.areas,key=lambda a:a.width*a.height)\\\\narea.type='IMAGE_EDITOR'\\\\narea.spaces.active.image=bpy.data.images.get('Render Result')\\\\n\\\",\\\"user_prompt\\\":\\\"Verify the final presentation render of the red sphere touching the white plane.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_DHG9JQeTAUb7ugKxuMookNJ2\",\"content\":\"Code executed successfully: \"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_frjySSNGHixzpEfo12AohV03\",\"type\":\"function\",\"function\":{\"name\":\"get_viewport_screenshot\",\"arguments\":\"{\\\"max_size\\\":800,\\\"user_prompt\\\":\\\"Inspect the final rendered presentation image.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_frjySSNGHixzpEfo12AohV03\",\"content\":\"Error executing tool get_viewport_screenshot: Screenshot failed: No 3D viewport found\"}],\"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-sol","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\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. 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\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_3PioMtYAkDBd7YQa07Zmxvtl","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Clear scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\n# Materials\\nred = bpy.data.materials.new('Ball_Red')\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\nred.use_nodes = True\\npbs = red.node_tree.nodes.get('Principled BSDF')\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\npbs.inputs['Roughness'].default_value = 0.22\\npbs.inputs['Metallic'].default_value = 0.0\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\n\\nwhite = bpy.data.materials.new('Floor_White')\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\nwhite.use_nodes = True\\npbf = white.node_tree.nodes.get('Principled BSDF')\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\npbf.inputs['Roughness'].default_value = 0.38\\npbf.inputs['Metallic'].default_value = 0.0\\n\\n# Ground plane at z=0\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\nplane = bpy.context.object\\nplane.name = 'White Ground Plane'\\nplane.data.materials.append(white)\\n\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\nball = bpy.context.object\\nball.name = 'Red Sphere — 1m Diameter'\\nball.data.materials.append(red)\\nfor p in ball.data.polygons: p.use_smooth = True\\n\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\n# Set custom properties to make dimensions/contact explicit\\nball['diameter_m'] = 1.0\\nball['radius_m'] = 0.5\\nball['contact_plane_z'] = 0.0\\nball['lowest_point_z'] = 0.0\\nplane['surface_z'] = 0.0\\n\\n# Camera\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\ncam = bpy.context.object\\ncam.name = 'Presentation Camera'\\nbpy.context.scene.camera = cam\\ncam.data.lens = 68\\ncam.data.sensor_width = 36\\n\\ndef look_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\n\\nlook_at(cam, (0,0,0.44))\\n\\n# Key area light - large softbox\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\nkey = bpy.context.object\\nkey.name = 'Large Soft Key'\\nkey.data.energy = 850\\nkey.data.shape = 'DISK'\\nkey.data.size = 4.0\\nlook_at(key, (0,0,0.2))\\n\\n# Gentle rim/accent to reveal sphere edge and gloss\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\nrim = bpy.context.object\\nrim.name = 'Soft Rim Fill'\\nrim.data.energy = 300\\nrim.data.shape = 'DISK'\\nrim.data.size = 3.0\\nlook_at(rim, (0,0,0.55))\\n\\n# Broad top fill\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\nfill = bpy.context.object\\nfill.name = 'Top Fill'\\nfill.data.energy = 180\\nfill.data.size = 5.0\\nlook_at(fill, (0,0,0))\\n\\n# World\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\nbpy.context.scene.world = world\\nworld.use_nodes = True\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\n\\n# Render settings\\nscene = bpy.context.scene\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\nscene.render.image_settings.color_mode = 'RGB'\\n# AO/contact depth\\nscene.world.color = (0.8,0.8,0.8)\\n# color management\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\nscene.view_settings.exposure = 0.15\\n\\n# Camera clipping\\ncam.data.lens = 72\\ncam.data.dof.use_dof = False\\n\\n# Save and render\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\nprint('Render:', scene.render.filepath)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]},{"role":"tool","tool_call_id":"call_3PioMtYAkDBd7YQa07Zmxvtl","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_9aJ5afTvWc2gp8ThaSzWwS76","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800\\nscene.render.resolution_y=800\\nscene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'\\nscene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False\\nscene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Eevee quality and soft shadows\\nif hasattr(scene,'eevee'):\\n    scene.eevee.use_gtao=True\\n    scene.eevee.gtao_distance=3\\n    scene.eevee.gtao_factor=1.15\\n    scene.eevee.taa_render_samples=128\\n    scene.eevee.use_soft_shadows=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\n# contact shadows on area lights if supported\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT' and hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n    if o.type=='LIGHT' and hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact:',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]},{"role":"tool","tool_call_id":"call_9aJ5afTvWc2gp8ThaSzWwS76","content":"Error executing code: Communication error with Blender: Code execution error: 'SceneEEVEE' object has no attribute 'use_gtao'"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_mAEZtzzTGgkIdJouyXwaMD2r","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800; scene.render.resolution_y=800; scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'; scene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False; scene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Version-safe Eevee configuration\\nfor attr,val in [('taa_render_samples',128),('use_soft_shadows',True),('gtao_distance',3),('gtao_factor',1.15),('use_gtao',True)]:\\n    if hasattr(scene.eevee,attr): setattr(scene.eevee,attr,val)\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT':\\n        if hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n        if hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]},{"role":"tool","tool_call_id":"call_mAEZtzzTGgkIdJouyXwaMD2r","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\\red_sphere_ground.blend@ for writing: No such file or directory\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_WCRMKni9yzRLSFMzJeYe50HT","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, tempfile, os\\nscene=bpy.context.scene\\noutdir=tempfile.gettempdir()\\nscene.render.filepath=os.path.join(outdir,'red_sphere_presentation.png')\\nblendpath=os.path.join(outdir,'red_sphere_ground.blend')\\nbpy.ops.wm.save_as_mainfile(filepath=blendpath)\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('saved',blendpath,'render',scene.render.filepath,'contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]},{"role":"tool","tool_call_id":"call_WCRMKni9yzRLSFMzJeYe50HT","content":"Code executed successfully: Info: Saved as \"red_sphere_ground.blend\"\nsaved C:\\Users\\gruku\\AppData\\Local\\Temp\\red_sphere_ground.blend render C:\\Users\\gruku\\AppData\\Local\\Temp\\red_sphere_presentation.png contact 0.0 0.0\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_9mBemTtQAyZtOWpHf9taBJ3E","type":"function","function":{"name":"get_viewport_screenshot","arguments":"{\"max_size\":800,\"user_prompt\":\"Verify the finished exact-contact red sphere studio scene and presentation.\"}"}}]},{"role":"tool","tool_call_id":"call_9mBemTtQAyZtOWpHf9taBJ3E","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_DHG9JQeTAUb7ugKxuMookNJ2","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\n# Show the completed Render Result in the largest UI area for visual verification\\narea=max(bpy.context.screen.areas,key=lambda a:a.width*a.height)\\narea.type='IMAGE_EDITOR'\\narea.spaces.active.image=bpy.data.images.get('Render Result')\\n\",\"user_prompt\":\"Verify the final presentation render of the red sphere touching the white plane.\"}"}}]},{"role":"tool","tool_call_id":"call_DHG9JQeTAUb7ugKxuMookNJ2","content":"Code executed successfully: "},{"role":"assistant","content":null,"tool_calls":[{"id":"call_frjySSNGHixzpEfo12AohV03","type":"function","function":{"name":"get_viewport_screenshot","arguments":"{\"max_size\":800,\"user_prompt\":\"Inspect the final rendered presentation image.\"}"}}]},{"role":"tool","tool_call_id":"call_frjySSNGHixzpEfo12AohV03","content":"Error executing tool get_viewport_screenshot: Screenshot failed: No 3D viewport found"}],"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 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{"ts": "2026-07-15T01:02:19.432826+00:00", "type": "assistant", "text": null, "tool_calls": [{"id": "call_bD9ZbcHFMA3MLpfnCJKtCuYG", "name": "execute_blender_code", "arguments": {"code": "import bpy, tempfile, os\narea=max(bpy.context.screen.areas,key=lambda a:a.width*a.height)\narea.type='VIEW_3D'\nspace=area.spaces.active\nspace.region_3d.view_perspective='CAMERA'\nspace.shading.type='RENDERED'\n# Keep finished file current\nbpy.ops.wm.save_as_mainfile(filepath=os.path.join(tempfile.gettempdir(),'red_sphere_ground.blend'))\n", "user_prompt": "Finalize and save the exact-contact red sphere scene with camera presentation."}, "raw_arguments": "{\"code\":\"import bpy, tempfile, os\\narea=max(bpy.context.screen.areas,key=lambda a:a.width*a.height)\\narea.type='VIEW_3D'\\nspace=area.spaces.active\\nspace.region_3d.view_perspective='CAMERA'\\nspace.shading.type='RENDERED'\\n# Keep finished file current\\nbpy.ops.wm.save_as_mainfile(filepath=os.path.join(tempfile.gettempdir(),'red_sphere_ground.blend'))\\n\",\"user_prompt\":\"Finalize and save the exact-contact red sphere scene with camera presentation.\"}", "parse_error": null}]}
{"ts": "2026-07-15T01:02:19.433332+00:00", "type": "tool_call", "id": "call_bD9ZbcHFMA3MLpfnCJKtCuYG", "name": "execute_blender_code", "arguments": {"code": "import bpy, tempfile, os\narea=max(bpy.context.screen.areas,key=lambda a:a.width*a.height)\narea.type='VIEW_3D'\nspace=area.spaces.active\nspace.region_3d.view_perspective='CAMERA'\nspace.shading.type='RENDERED'\n# Keep finished file current\nbpy.ops.wm.save_as_mainfile(filepath=os.path.join(tempfile.gettempdir(),'red_sphere_ground.blend'))\n", "user_prompt": "Finalize and save the exact-contact red sphere scene with camera presentation."}, "raw_arguments": "{\"code\":\"import bpy, tempfile, os\\narea=max(bpy.context.screen.areas,key=lambda a:a.width*a.height)\\narea.type='VIEW_3D'\\nspace=area.spaces.active\\nspace.region_3d.view_perspective='CAMERA'\\nspace.shading.type='RENDERED'\\n# Keep finished file current\\nbpy.ops.wm.save_as_mainfile(filepath=os.path.join(tempfile.gettempdir(),'red_sphere_ground.blend'))\\n\",\"user_prompt\":\"Finalize and save the exact-contact red sphere scene with camera presentation.\"}"}
{"ts": "2026-07-15T01:02:19.937753+00:00", "type": "tool_result", "tool_call_id": "call_bD9ZbcHFMA3MLpfnCJKtCuYG", "name": "execute_blender_code", "text": "Code executed successfully: Info: Saved as \"red_sphere_ground.blend\"\n", "is_error": false, "has_image": false, "image_b64": null}
{"ts": "2026-07-15T01:02:21.941559+00:00", "type": "llm_call", "call_index": 9, "provider_type": "blenderbench.providers.openrouter.OpenRouterProvider", "started_at": "2026-07-15T01:02:19.938753+00:00", "finished_at": "2026-07-15T01:02:21.935502+00:00", "duration_s": 2.0, "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\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. 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\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_3PioMtYAkDBd7YQa07Zmxvtl", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Clear scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\n# Materials\\nred = bpy.data.materials.new('Ball_Red')\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\nred.use_nodes = True\\npbs = red.node_tree.nodes.get('Principled BSDF')\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\npbs.inputs['Roughness'].default_value = 0.22\\npbs.inputs['Metallic'].default_value = 0.0\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\n\\nwhite = bpy.data.materials.new('Floor_White')\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\nwhite.use_nodes = True\\npbf = white.node_tree.nodes.get('Principled BSDF')\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\npbf.inputs['Roughness'].default_value = 0.38\\npbf.inputs['Metallic'].default_value = 0.0\\n\\n# Ground plane at z=0\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\nplane = bpy.context.object\\nplane.name = 'White Ground Plane'\\nplane.data.materials.append(white)\\n\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\nball = bpy.context.object\\nball.name = 'Red Sphere — 1m Diameter'\\nball.data.materials.append(red)\\nfor p in ball.data.polygons: p.use_smooth = True\\n\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\n# Set custom properties to make dimensions/contact explicit\\nball['diameter_m'] = 1.0\\nball['radius_m'] = 0.5\\nball['contact_plane_z'] = 0.0\\nball['lowest_point_z'] = 0.0\\nplane['surface_z'] = 0.0\\n\\n# Camera\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\ncam = bpy.context.object\\ncam.name = 'Presentation Camera'\\nbpy.context.scene.camera = cam\\ncam.data.lens = 68\\ncam.data.sensor_width = 36\\n\\ndef look_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\n\\nlook_at(cam, (0,0,0.44))\\n\\n# Key area light - large softbox\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\nkey = bpy.context.object\\nkey.name = 'Large Soft Key'\\nkey.data.energy = 850\\nkey.data.shape = 'DISK'\\nkey.data.size = 4.0\\nlook_at(key, (0,0,0.2))\\n\\n# Gentle rim/accent to reveal sphere edge and gloss\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\nrim = bpy.context.object\\nrim.name = 'Soft Rim Fill'\\nrim.data.energy = 300\\nrim.data.shape = 'DISK'\\nrim.data.size = 3.0\\nlook_at(rim, (0,0,0.55))\\n\\n# Broad top fill\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\nfill = bpy.context.object\\nfill.name = 'Top Fill'\\nfill.data.energy = 180\\nfill.data.size = 5.0\\nlook_at(fill, (0,0,0))\\n\\n# World\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\nbpy.context.scene.world = world\\nworld.use_nodes = True\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\n\\n# Render settings\\nscene = bpy.context.scene\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\nscene.render.image_settings.color_mode = 'RGB'\\n# AO/contact depth\\nscene.world.color = (0.8,0.8,0.8)\\n# color management\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\nscene.view_settings.exposure = 0.15\\n\\n# Camera clipping\\ncam.data.lens = 72\\ncam.data.dof.use_dof = False\\n\\n# Save and render\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\nprint('Render:', scene.render.filepath)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]}, {"role": "tool", "tool_call_id": "call_3PioMtYAkDBd7YQa07Zmxvtl", "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_9aJ5afTvWc2gp8ThaSzWwS76", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800\\nscene.render.resolution_y=800\\nscene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'\\nscene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False\\nscene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Eevee quality and soft shadows\\nif hasattr(scene,'eevee'):\\n    scene.eevee.use_gtao=True\\n    scene.eevee.gtao_distance=3\\n    scene.eevee.gtao_factor=1.15\\n    scene.eevee.taa_render_samples=128\\n    scene.eevee.use_soft_shadows=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\n# contact shadows on area lights if supported\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT' and hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n    if o.type=='LIGHT' and hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact:',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]}, {"role": "tool", "tool_call_id": "call_9aJ5afTvWc2gp8ThaSzWwS76", "content": "Error executing code: Communication error with Blender: Code execution error: 'SceneEEVEE' object has no attribute 'use_gtao'"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_mAEZtzzTGgkIdJouyXwaMD2r", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800; scene.render.resolution_y=800; scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'; scene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False; scene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Version-safe Eevee configuration\\nfor attr,val in [('taa_render_samples',128),('use_soft_shadows',True),('gtao_distance',3),('gtao_factor',1.15),('use_gtao',True)]:\\n    if hasattr(scene.eevee,attr): setattr(scene.eevee,attr,val)\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT':\\n        if hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n        if hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]}, {"role": "tool", "tool_call_id": "call_mAEZtzzTGgkIdJouyXwaMD2r", "content": "Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\apps\\console\\tmp\\red_sphere_ground.blend@ for writing: No such file or directory\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_WCRMKni9yzRLSFMzJeYe50HT", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, tempfile, os\\nscene=bpy.context.scene\\noutdir=tempfile.gettempdir()\\nscene.render.filepath=os.path.join(outdir,'red_sphere_presentation.png')\\nblendpath=os.path.join(outdir,'red_sphere_ground.blend')\\nbpy.ops.wm.save_as_mainfile(filepath=blendpath)\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('saved',blendpath,'render',scene.render.filepath,'contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]}, {"role": "tool", "tool_call_id": "call_WCRMKni9yzRLSFMzJeYe50HT", "content": "Code executed successfully: Info: Saved as \"red_sphere_ground.blend\"\nsaved <home>\\AppData\\Local\\Temp\\red_sphere_ground.blend render <home>\\AppData\\Local\\Temp\\red_sphere_presentation.png contact 0.0 0.0\n"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_9mBemTtQAyZtOWpHf9taBJ3E", "type": "function", "function": {"name": "get_viewport_screenshot", "arguments": "{\"max_size\":800,\"user_prompt\":\"Verify the finished exact-contact red sphere studio scene and presentation.\"}"}}]}, {"role": "tool", "tool_call_id": "call_9mBemTtQAyZtOWpHf9taBJ3E", "content": ""}, {"role": "user", "content": [{"type": "image_url", "image_url": {"url": 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"}}]}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_DHG9JQeTAUb7ugKxuMookNJ2", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy\\n# Show the completed Render Result in the largest UI area for visual verification\\narea=max(bpy.context.screen.areas,key=lambda a:a.width*a.height)\\narea.type='IMAGE_EDITOR'\\narea.spaces.active.image=bpy.data.images.get('Render Result')\\n\",\"user_prompt\":\"Verify the final presentation render of the red sphere touching the white plane.\"}"}}]}, {"role": "tool", "tool_call_id": "call_DHG9JQeTAUb7ugKxuMookNJ2", "content": "Code executed successfully: "}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_frjySSNGHixzpEfo12AohV03", "type": "function", "function": {"name": "get_viewport_screenshot", "arguments": "{\"max_size\":800,\"user_prompt\":\"Inspect the final rendered presentation image.\"}"}}]}, {"role": "tool", "tool_call_id": "call_frjySSNGHixzpEfo12AohV03", "content": "Error executing tool get_viewport_screenshot: Screenshot failed: No 3D viewport found"}, {"role": "assistant", "content": null, "tool_calls": [{"id": "call_bD9ZbcHFMA3MLpfnCJKtCuYG", "type": "function", "function": {"name": "execute_blender_code", "arguments": "{\"code\":\"import bpy, tempfile, os\\narea=max(bpy.context.screen.areas,key=lambda a:a.width*a.height)\\narea.type='VIEW_3D'\\nspace=area.spaces.active\\nspace.region_3d.view_perspective='CAMERA'\\nspace.shading.type='RENDERED'\\n# Keep finished file current\\nbpy.ops.wm.save_as_mainfile(filepath=os.path.join(tempfile.gettempdir(),'red_sphere_ground.blend'))\\n\",\"user_prompt\":\"Finalize and save the exact-contact red sphere scene with camera presentation.\"}"}}]}, {"role": "tool", "tool_call_id": "call_bD9ZbcHFMA3MLpfnCJKtCuYG", "content": "Code executed successfully: Info: Saved as \"red_sphere_ground.blend\"\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": "2026-07-15T01:02:19.938753+00:00", "finished_at": "2026-07-15T01:02:21.933974+00:00", "duration_s": 1.9849999999860302, "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": "195404", "content-type": "application/json"}, "body": "{\"model\":\"openai/gpt-5.6-sol\",\"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\\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. 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\\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\\nball, plain white on the floor.\\n\\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\\na soft believable shadow under the ball, a hint of glossiness that catches the\\nlight, and clean framing.\\n\\n</task>\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_3PioMtYAkDBd7YQa07Zmxvtl\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, math\\\\nfrom mathutils import Vector\\\\n\\\\n# Clear scene\\\\nbpy.ops.object.select_all(action='SELECT')\\\\nbpy.ops.object.delete(use_global=False)\\\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\\\n    pass\\\\n\\\\n# Materials\\\\nred = bpy.data.materials.new('Ball_Red')\\\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\\\nred.use_nodes = True\\\\npbs = red.node_tree.nodes.get('Principled BSDF')\\\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\\\npbs.inputs['Roughness'].default_value = 0.22\\\\npbs.inputs['Metallic'].default_value = 0.0\\\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\\\n\\\\nwhite = bpy.data.materials.new('Floor_White')\\\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\\\nwhite.use_nodes = True\\\\npbf = white.node_tree.nodes.get('Principled BSDF')\\\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\\\npbf.inputs['Roughness'].default_value = 0.38\\\\npbf.inputs['Metallic'].default_value = 0.0\\\\n\\\\n# Ground plane at z=0\\\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\\\nplane = bpy.context.object\\\\nplane.name = 'White Ground Plane'\\\\nplane.data.materials.append(white)\\\\n\\\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\\\nball = bpy.context.object\\\\nball.name = 'Red Sphere — 1m Diameter'\\\\nball.data.materials.append(red)\\\\nfor p in ball.data.polygons: p.use_smooth = True\\\\n\\\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\\\n# Set custom properties to make dimensions/contact explicit\\\\nball['diameter_m'] = 1.0\\\\nball['radius_m'] = 0.5\\\\nball['contact_plane_z'] = 0.0\\\\nball['lowest_point_z'] = 0.0\\\\nplane['surface_z'] = 0.0\\\\n\\\\n# Camera\\\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\\\ncam = bpy.context.object\\\\ncam.name = 'Presentation Camera'\\\\nbpy.context.scene.camera = cam\\\\ncam.data.lens = 68\\\\ncam.data.sensor_width = 36\\\\n\\\\ndef look_at(obj, target):\\\\n    direction = Vector(target) - obj.location\\\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\\\n\\\\nlook_at(cam, (0,0,0.44))\\\\n\\\\n# Key area light - large softbox\\\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\\\nkey = bpy.context.object\\\\nkey.name = 'Large Soft Key'\\\\nkey.data.energy = 850\\\\nkey.data.shape = 'DISK'\\\\nkey.data.size = 4.0\\\\nlook_at(key, (0,0,0.2))\\\\n\\\\n# Gentle rim/accent to reveal sphere edge and gloss\\\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\\\nrim = bpy.context.object\\\\nrim.name = 'Soft Rim Fill'\\\\nrim.data.energy = 300\\\\nrim.data.shape = 'DISK'\\\\nrim.data.size = 3.0\\\\nlook_at(rim, (0,0,0.55))\\\\n\\\\n# Broad top fill\\\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\\\nfill = bpy.context.object\\\\nfill.name = 'Top Fill'\\\\nfill.data.energy = 180\\\\nfill.data.size = 5.0\\\\nlook_at(fill, (0,0,0))\\\\n\\\\n# World\\\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\\\nbpy.context.scene.world = world\\\\nworld.use_nodes = True\\\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\\\n\\\\n# Render settings\\\\nscene = bpy.context.scene\\\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\\\nscene.render.resolution_x = 800\\\\nscene.render.resolution_y = 800\\\\nscene.render.resolution_percentage = 100\\\\nscene.render.image_settings.file_format = 'PNG'\\\\nscene.render.image_settings.color_mode = 'RGBA'\\\\nscene.render.film_transparent = False\\\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\\\nscene.render.image_settings.color_mode = 'RGB'\\\\n# AO/contact depth\\\\nscene.world.color = (0.8,0.8,0.8)\\\\n# color management\\\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\\\nscene.view_settings.exposure = 0.15\\\\n\\\\n# Camera clipping\\\\ncam.data.lens = 72\\\\ncam.data.dof.use_dof = False\\\\n\\\\n# Save and render\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\\\nprint('Render:', scene.render.filepath)\\\\n\\\",\\\"user_prompt\\\":\\\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_3PioMtYAkDBd7YQa07Zmxvtl\",\"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_9aJ5afTvWc2gp8ThaSzWwS76\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nscene=bpy.context.scene\\\\nscene.render.engine='BLENDER_EEVEE'\\\\nscene.render.resolution_x=800\\\\nscene.render.resolution_y=800\\\\nscene.render.resolution_percentage=100\\\\nscene.render.image_settings.file_format='PNG'\\\\nscene.render.image_settings.color_mode='RGB'\\\\nscene.render.film_transparent=False\\\\nscene.render.filepath='/tmp/red_sphere_presentation.png'\\\\n# Eevee quality and soft shadows\\\\nif hasattr(scene,'eevee'):\\\\n    scene.eevee.use_gtao=True\\\\n    scene.eevee.gtao_distance=3\\\\n    scene.eevee.gtao_factor=1.15\\\\n    scene.eevee.taa_render_samples=128\\\\n    scene.eevee.use_soft_shadows=True\\\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\\\nexcept: pass\\\\nscene.view_settings.exposure=0.1\\\\n# contact shadows on area lights if supported\\\\nfor o in bpy.data.objects:\\\\n    if o.type=='LIGHT' and hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\\\n    if o.type=='LIGHT' and hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\\\nprint('Exact contact:',ball.location.z-ball.dimensions.z/2,plane.location.z)\\\\n\\\",\\\"user_prompt\\\":\\\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_9aJ5afTvWc2gp8ThaSzWwS76\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: 'SceneEEVEE' object has no attribute 'use_gtao'\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_mAEZtzzTGgkIdJouyXwaMD2r\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\nscene=bpy.context.scene\\\\nscene.render.engine='BLENDER_EEVEE'\\\\nscene.render.resolution_x=800; scene.render.resolution_y=800; scene.render.resolution_percentage=100\\\\nscene.render.image_settings.file_format='PNG'; scene.render.image_settings.color_mode='RGB'\\\\nscene.render.film_transparent=False; scene.render.filepath='/tmp/red_sphere_presentation.png'\\\\n# Version-safe Eevee configuration\\\\nfor attr,val in [('taa_render_samples',128),('use_soft_shadows',True),('gtao_distance',3),('gtao_factor',1.15),('use_gtao',True)]:\\\\n    if hasattr(scene.eevee,attr): setattr(scene.eevee,attr,val)\\\\nfor o in bpy.data.objects:\\\\n    if o.type=='LIGHT':\\\\n        if hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\\\n        if hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\\\nexcept: pass\\\\nscene.view_settings.exposure=0.1\\\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\\\nbpy.ops.render.render(write_still=True)\\\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\\\nprint('Exact contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\\\n\\\",\\\"user_prompt\\\":\\\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_mAEZtzzTGgkIdJouyXwaMD2r\",\"content\":\"Error executing code: Communication error with Blender: Code execution error: Error: Cannot open file <repo>\\\\apps\\\\console\\\\tmp\\\\red_sphere_ground.blend@ for writing: No such file or directory\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_WCRMKni9yzRLSFMzJeYe50HT\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, tempfile, os\\\\nscene=bpy.context.scene\\\\noutdir=tempfile.gettempdir()\\\\nscene.render.filepath=os.path.join(outdir,'red_sphere_presentation.png')\\\\nblendpath=os.path.join(outdir,'red_sphere_ground.blend')\\\\nbpy.ops.wm.save_as_mainfile(filepath=blendpath)\\\\nbpy.ops.render.render(write_still=True)\\\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\\\nprint('saved',blendpath,'render',scene.render.filepath,'contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\\\n\\\",\\\"user_prompt\\\":\\\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_WCRMKni9yzRLSFMzJeYe50HT\",\"content\":\"Code executed successfully: Info: Saved as \\\"red_sphere_ground.blend\\\"\\nsaved <home>\\\\AppData\\\\Local\\\\Temp\\\\red_sphere_ground.blend render <home>\\\\AppData\\\\Local\\\\Temp\\\\red_sphere_presentation.png contact 0.0 0.0\\n\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_9mBemTtQAyZtOWpHf9taBJ3E\",\"type\":\"function\",\"function\":{\"name\":\"get_viewport_screenshot\",\"arguments\":\"{\\\"max_size\\\":800,\\\"user_prompt\\\":\\\"Verify the finished exact-contact red sphere studio scene and presentation.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_9mBemTtQAyZtOWpHf9taBJ3E\",\"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_DHG9JQeTAUb7ugKxuMookNJ2\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy\\\\n# Show the completed Render Result in the largest UI area for visual verification\\\\narea=max(bpy.context.screen.areas,key=lambda a:a.width*a.height)\\\\narea.type='IMAGE_EDITOR'\\\\narea.spaces.active.image=bpy.data.images.get('Render Result')\\\\n\\\",\\\"user_prompt\\\":\\\"Verify the final presentation render of the red sphere touching the white plane.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_DHG9JQeTAUb7ugKxuMookNJ2\",\"content\":\"Code executed successfully: \"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_frjySSNGHixzpEfo12AohV03\",\"type\":\"function\",\"function\":{\"name\":\"get_viewport_screenshot\",\"arguments\":\"{\\\"max_size\\\":800,\\\"user_prompt\\\":\\\"Inspect the final rendered presentation image.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_frjySSNGHixzpEfo12AohV03\",\"content\":\"Error executing tool get_viewport_screenshot: Screenshot failed: No 3D viewport found\"},{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"id\":\"call_bD9ZbcHFMA3MLpfnCJKtCuYG\",\"type\":\"function\",\"function\":{\"name\":\"execute_blender_code\",\"arguments\":\"{\\\"code\\\":\\\"import bpy, tempfile, os\\\\narea=max(bpy.context.screen.areas,key=lambda a:a.width*a.height)\\\\narea.type='VIEW_3D'\\\\nspace=area.spaces.active\\\\nspace.region_3d.view_perspective='CAMERA'\\\\nspace.shading.type='RENDERED'\\\\n# Keep finished file current\\\\nbpy.ops.wm.save_as_mainfile(filepath=os.path.join(tempfile.gettempdir(),'red_sphere_ground.blend'))\\\\n\\\",\\\"user_prompt\\\":\\\"Finalize and save the exact-contact red sphere scene with camera presentation.\\\"}\"}}]},{\"role\":\"tool\",\"tool_call_id\":\"call_bD9ZbcHFMA3MLpfnCJKtCuYG\",\"content\":\"Code executed successfully: Info: Saved as \\\"red_sphere_ground.blend\\\"\\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-sol","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\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. 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\nA red sphere of 1 meter diameter resting on a white ground plane — touching it\nexactly, neither floating nor sunk. Smooth shading, a plain red material on the\nball, plain white on the floor.\n\nThe floor is the sphere, the color, and the contact. The ceiling is presentation:\na soft believable shadow under the ball, a hint of glossiness that catches the\nlight, and clean framing.\n\n</task>"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_3PioMtYAkDBd7YQa07Zmxvtl","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, math\\nfrom mathutils import Vector\\n\\n# Clear scene\\nbpy.ops.object.select_all(action='SELECT')\\nbpy.ops.object.delete(use_global=False)\\nfor datablocks in (bpy.data.materials, bpy.data.cameras, bpy.data.lights):\\n    pass\\n\\n# Materials\\nred = bpy.data.materials.new('Ball_Red')\\nred.diffuse_color = (0.8, 0.012, 0.018, 1.0)\\nred.use_nodes = True\\npbs = red.node_tree.nodes.get('Principled BSDF')\\npbs.inputs['Base Color'].default_value = (0.82, 0.008, 0.012, 1.0)\\npbs.inputs['Roughness'].default_value = 0.22\\npbs.inputs['Metallic'].default_value = 0.0\\npbs.inputs['Specular IOR Level'].default_value = 0.5\\n\\nwhite = bpy.data.materials.new('Floor_White')\\nwhite.diffuse_color = (0.92,0.92,0.92,1)\\nwhite.use_nodes = True\\npbf = white.node_tree.nodes.get('Principled BSDF')\\npbf.inputs['Base Color'].default_value = (0.92,0.92,0.92,1)\\npbf.inputs['Roughness'].default_value = 0.38\\npbf.inputs['Metallic'].default_value = 0.0\\n\\n# Ground plane at z=0\\nbpy.ops.mesh.primitive_plane_add(size=200, location=(0,0,0))\\nplane = bpy.context.object\\nplane.name = 'White Ground Plane'\\nplane.data.materials.append(white)\\n\\n# Sphere radius .5, center z=.5 = exact tangent to plane\\nbpy.ops.mesh.primitive_uv_sphere_add(segments=96, ring_count=64, radius=0.5, location=(0,0,0.5))\\nball = bpy.context.object\\nball.name = 'Red Sphere — 1m Diameter'\\nball.data.materials.append(red)\\nfor p in ball.data.polygons: p.use_smooth = True\\n\\n# Add weighted tiny bevel? sphere already exact, don't change dimensions.\\n# Set custom properties to make dimensions/contact explicit\\nball['diameter_m'] = 1.0\\nball['radius_m'] = 0.5\\nball['contact_plane_z'] = 0.0\\nball['lowest_point_z'] = 0.0\\nplane['surface_z'] = 0.0\\n\\n# Camera\\nbpy.ops.object.camera_add(location=(3.15,-5.2,2.25))\\ncam = bpy.context.object\\ncam.name = 'Presentation Camera'\\nbpy.context.scene.camera = cam\\ncam.data.lens = 68\\ncam.data.sensor_width = 36\\n\\ndef look_at(obj, target):\\n    direction = Vector(target) - obj.location\\n    obj.rotation_euler = direction.to_track_quat('-Z','Y').to_euler()\\n\\nlook_at(cam, (0,0,0.44))\\n\\n# Key area light - large softbox\\nbpy.ops.object.light_add(type='AREA', location=(-3.4,-4.0,6.0))\\nkey = bpy.context.object\\nkey.name = 'Large Soft Key'\\nkey.data.energy = 850\\nkey.data.shape = 'DISK'\\nkey.data.size = 4.0\\nlook_at(key, (0,0,0.2))\\n\\n# Gentle rim/accent to reveal sphere edge and gloss\\nbpy.ops.object.light_add(type='AREA', location=(3.8,1.5,3.6))\\nrim = bpy.context.object\\nrim.name = 'Soft Rim Fill'\\nrim.data.energy = 300\\nrim.data.shape = 'DISK'\\nrim.data.size = 3.0\\nlook_at(rim, (0,0,0.55))\\n\\n# Broad top fill\\nbpy.ops.object.light_add(type='AREA', location=(0,1.0,7.5))\\nfill = bpy.context.object\\nfill.name = 'Top Fill'\\nfill.data.energy = 180\\nfill.data.size = 5.0\\nlook_at(fill, (0,0,0))\\n\\n# World\\nworld = bpy.data.worlds.new('Clean Studio World') if not bpy.data.worlds else bpy.data.worlds[0]\\nbpy.context.scene.world = world\\nworld.use_nodes = True\\nworld.node_tree.nodes['Background'].inputs['Color'].default_value = (0.82,0.84,0.88,1)\\nworld.node_tree.nodes['Background'].inputs['Strength'].default_value = 0.22\\n\\n# Render settings\\nscene = bpy.context.scene\\nscene.render.engine = 'BLENDER_EEVEE_NEXT'\\nscene.render.resolution_x = 800\\nscene.render.resolution_y = 800\\nscene.render.resolution_percentage = 100\\nscene.render.image_settings.file_format = 'PNG'\\nscene.render.image_settings.color_mode = 'RGBA'\\nscene.render.film_transparent = False\\nscene.render.filepath = '/tmp/red_sphere_presentation.png'\\nscene.render.image_settings.color_mode = 'RGB'\\n# AO/contact depth\\nscene.world.color = (0.8,0.8,0.8)\\n# color management\\nscene.view_settings.look = 'AgX - Medium High Contrast'\\nscene.view_settings.exposure = 0.15\\n\\n# Camera clipping\\ncam.data.lens = 72\\ncam.data.dof.use_dof = False\\n\\n# Save and render\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nprint('Created exact sphere bottom:', ball.location.z - 0.5, 'plane z:', plane.location.z)\\nprint('Render:', scene.render.filepath)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]},{"role":"tool","tool_call_id":"call_3PioMtYAkDBd7YQa07Zmxvtl","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_9aJ5afTvWc2gp8ThaSzWwS76","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800\\nscene.render.resolution_y=800\\nscene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'\\nscene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False\\nscene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Eevee quality and soft shadows\\nif hasattr(scene,'eevee'):\\n    scene.eevee.use_gtao=True\\n    scene.eevee.gtao_distance=3\\n    scene.eevee.gtao_factor=1.15\\n    scene.eevee.taa_render_samples=128\\n    scene.eevee.use_soft_shadows=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\n# contact shadows on area lights if supported\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT' and hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n    if o.type=='LIGHT' and hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact:',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]},{"role":"tool","tool_call_id":"call_9aJ5afTvWc2gp8ThaSzWwS76","content":"Error executing code: Communication error with Blender: Code execution error: 'SceneEEVEE' object has no attribute 'use_gtao'"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_mAEZtzzTGgkIdJouyXwaMD2r","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\nscene=bpy.context.scene\\nscene.render.engine='BLENDER_EEVEE'\\nscene.render.resolution_x=800; scene.render.resolution_y=800; scene.render.resolution_percentage=100\\nscene.render.image_settings.file_format='PNG'; scene.render.image_settings.color_mode='RGB'\\nscene.render.film_transparent=False; scene.render.filepath='/tmp/red_sphere_presentation.png'\\n# Version-safe Eevee configuration\\nfor attr,val in [('taa_render_samples',128),('use_soft_shadows',True),('gtao_distance',3),('gtao_factor',1.15),('use_gtao',True)]:\\n    if hasattr(scene.eevee,attr): setattr(scene.eevee,attr,val)\\nfor o in bpy.data.objects:\\n    if o.type=='LIGHT':\\n        if hasattr(o.data,'use_shadow'): o.data.use_shadow=True\\n        if hasattr(o.data,'use_contact_shadow'): o.data.use_contact_shadow=True\\ntry: scene.view_settings.look='AgX - Medium High Contrast'\\nexcept: pass\\nscene.view_settings.exposure=0.1\\nbpy.ops.wm.save_as_mainfile(filepath='/tmp/red_sphere_ground.blend')\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('Exact contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]},{"role":"tool","tool_call_id":"call_mAEZtzzTGgkIdJouyXwaMD2r","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\\red_sphere_ground.blend@ for writing: No such file or directory\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_WCRMKni9yzRLSFMzJeYe50HT","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, tempfile, os\\nscene=bpy.context.scene\\noutdir=tempfile.gettempdir()\\nscene.render.filepath=os.path.join(outdir,'red_sphere_presentation.png')\\nblendpath=os.path.join(outdir,'red_sphere_ground.blend')\\nbpy.ops.wm.save_as_mainfile(filepath=blendpath)\\nbpy.ops.render.render(write_still=True)\\nball=bpy.data.objects.get('Red Sphere — 1m Diameter'); plane=bpy.data.objects.get('White Ground Plane')\\nprint('saved',blendpath,'render',scene.render.filepath,'contact',ball.location.z-ball.dimensions.z/2,plane.location.z)\\n\",\"user_prompt\":\"A red sphere of 1 meter diameter resting exactly on a white ground plane, with smooth shading, soft believable shadow, subtle glossiness, and clean presentation framing.\"}"}}]},{"role":"tool","tool_call_id":"call_WCRMKni9yzRLSFMzJeYe50HT","content":"Code executed successfully: Info: Saved as \"red_sphere_ground.blend\"\nsaved C:\\Users\\gruku\\AppData\\Local\\Temp\\red_sphere_ground.blend render C:\\Users\\gruku\\AppData\\Local\\Temp\\red_sphere_presentation.png contact 0.0 0.0\n"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_9mBemTtQAyZtOWpHf9taBJ3E","type":"function","function":{"name":"get_viewport_screenshot","arguments":"{\"max_size\":800,\"user_prompt\":\"Verify the finished exact-contact red sphere studio scene and presentation.\"}"}}]},{"role":"tool","tool_call_id":"call_9mBemTtQAyZtOWpHf9taBJ3E","content":""},{"role":"user","content":[{"type":"image_url","image_url":{"url":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAHRCAIAAAAdQ0qqAAAAAXNSR0IDN8dNUwAAAARnQU1BAACxjwv8YQUAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAAADZlWElmTU0AKgAAABgAAABIAAAAAQAAAEgAAAABAAIBGgAFAAAAAQAAAAgBGwAFAAAAAQAAABAAAAAAkHjvvAAAAAlvRkZzAAAAAAAAAAAA2iq2zgAAAAlwSFlzAAALEgAACxIB0t1+/AAAIABJREFUeAHsvWmQZcdVP1jv1V7V1VW9VHX1qm5J1motNpZlZPy35QUMf4NtPA4IQ8REeL4QE8QQ4eADX0wE84kJYgL4AAGEI2bAARgIz5g/GMsjFkneLVu7rF2tpZfqvbr2veZ3zsk8eTLv8u579WppWber7zt58ux5Mm/eLW/t6NGjo6Oj3d3dtVqtI7MJcn19PVNTiGiKuFBKtQqYt5XqqhkVqHJDGqo3Bm3ccbR3V0fH8sbM2DzuZnOvPNoI1+rqalcXPG5iKwmyqiuiWVtbq9frTShrK6maB6lFFraskIUHDQ6q1eqAeBgx+1pHrUPwjHTFDmDxX3aoBug2Qrds2MYZ++pLC2s9a2urNd923hr/u3EdTUvIGX4TlDcOv9FgzXhCsk5P1bQBTTGQLvxHm66zXmpyQVQT09WxyuN6baWjsxpH01QwTCLDQBKf3NCGqLI75GKGrjk3C4x2YhObPDFb7Qtb+YsxBAMaNv5dX+MSdsCvrtIeAUFtCybxsNA0X3ZMqyIny9W04soMi4uLFy9erL373e/u7KQ8hn0LCwvCLnaIxQr39PQIBgeq5eVlwGquhSsb0DQh7MREUNlaUCr2q4QtADREW6CrBRU4/qPtN3WOtcGYK3uVSBbRIGMRHMnzFqJUzqIWgswaAKWbpLGCPdYodG03heFeztyo9yQE1Ot02OB/MukhmNhoagSG2dnZ6ekp9U6Q5WY0rB0ZGRka2g2yS5cuzs3NFdGjy4+NHcBUFcN3d3c6P758+fLU1FQRL/B9/f2j+/fD8Vz2q1NTkhsqobu2urzeCU/Fx96enr6+fl/L0wZf2NivHJ2T42Ub5W/Muk3k3i4fc/VWR25iRK510YuLCxcuXNDBQQHxC/2or68Pk4fVtbXeg+/t2nOD95eSf31p6uKT/5CwoLPLgb6rf8/ADR+vdYaDPlhmX3tk5tzzXgj9QoVOTjCq9Pdrh6XamZmZ6elpAENDQ7t27SKU2WZ23VUfGDMIArsn/rO7TocMu2HOY6cfUoXx5+rVq5bMGgOWrt7e3pWVFVCgsLS0JKTw8Od//ufvuOOOr3zlK2+++abygxhVMPe6667bu3fv888/Pz8/Pz4+fsMNNzz66KPKrvTtBWAh4giZMvbpIFhRC+ixVSRuC5nY2RZR7RWihiEcOOlA/lIGbM62wZgruzZ6U2aCXSY66nJT7FWI1UIQqxaLTIQojQLChp4VBFCd/OsgvCNlrFzuASnPiqQmkBOTGuKO3447saOZIro8et/nPve5119//dvf/nYzrIW0k5OTmGCtrq4AECIMxB/96EfRXmfPnn3iiScEiVFlYWF+YGCws7OO7o9hZ8+ePQgvzgbPnDkDGjvsfOELX0DtF7/4RdWK2j0je3DlEpMzjLy7d9OUDgHBsIsqSQ8hHhkemV+YX11aXMVlDT/BWlhc7O3t8wHU+ZA9MAssA4sSqP4iIJcyF1kk4RrF5/voLynBKRBIMAVul5u5eqsj22XGW1AOBgdcrUHn+sxnPiNnSl/72tfs1Sx0n9HRsZXVte7rP9rV1Tm/SEebj91z9AN3Hfzf//L/w8BiiSVAmMqAq/fAXV173gHMZ++/AcSPv3Txbx54cebNR8GSjaNMToaHh1H1rne9S2gwo/r+97+Pzg4kqrDdeOONg4ODsPnFF1/EGFIfGB8Zv/HXPnLDiYO7z16a+8f/fPn8lfmuy32DvR3vfe97MVycPn361KlTmEhBAgaom2++GZ5iynSONyCLjEEVTKIzQj98AKRtYGAAc70PfOAD99xzD4awv/3bvxU89qAUYgT0/PnzMpBh9vp3f/d3ckTBKfunPvUpjFxvvPEGbj4+9dRTUC9cV65cAc3+/fvHxsYu8fbbv/3bf/iHf/i7v/u7X/rSlxAIXE8D+2233YYpISIC+ux5rQx82h4f+chH/uM//uP++++HMYgCDkXwXDRiSEUQ1XIAd911F/yC5BdeeEHGWexFF7hgGGph+cmTJy0X4J/7uZ9DSzz++OOwHM0Dp975znc+88wzydQV7YEDAFyAEMxKJyYmbrnlFsQBluAQgmko8O94xzu+973vJfK1KLHV4qYC0l5QgYk6xjPkQU7ObqoFTQoXgyVEany5DByqQY/4l5PZWm0CBag2c/OL+wxPgNxlHpZBPMxXqyEJ0btc0fUbHs2ZiUXSjtjMIE+VO3VD58Iog6xGr7n33nu/853vaPdEN0TmoxOBBtMvTHEA4BwMPQVInFMePnz4pZdeQo8udw4jxkMPPYQeirM7jLDZkQudFGMcuj+ijByAIthjZWIQSHqlrcXwip4o7ODViR1oMOgtLC5gP7NUeC3NiLLNJLDFgBBdKsEY7rfBTATizH87dJkA7XjEZz/7WTxrhJ6Owxx65Xe/+92syYP9PXfeuG+ov/vZ1y4vLa9+/9lzdGk9b8MJVf9A/2oPhtCOA/sGPnHf8QN7+286OvLSm5NffyqPweNwgEbXRgkHYowVsARjkVQCg2M0pjQYlHBJ/n3vex9GG1T9r5++/cjYLlx72T3Q87/9T3f+wf/1KJCY/9x+++0vv/zy008/jcM96OEXDujHjh3DvAKjH2ZaGACT8UcUYS9Kse/CfxyH9IiFIQyj26uvvvrKK6/AoP/6r//6mZ/5GRRxjQrDJciEEnLhCUyELEzx/viP/1hEY26I+dYjjzzyiU98AueaCDcEwh/AUATLIBZTDcylQI9Zy3ve8x4Ad955J66EYdaJYRqjMOYxGApB/+Uvfxm1iNehQ4cQrJ/85CcysIou7OE2fMZsBkMzhMA2mAobMDpj9PzhD3+olAAw44RY3FCAg5CDc3HMqBBEwCDGTGjfvn04dbYsgFEL7RiUcZyGa5gI/uzP/qzgUWWJMTo//PDDH/zgB2EqDq6YloEAbQOa1157DSpQRFXCZSUAlvAmyM0uyp1zXMfa4XMsjQNyA2HUWAHmKRDXA8SsEU8DrK/TOU1np0xpqKmYTn755pdDyQ8OiDLKswDgZK4UDpTc2FGLE1HBBvm9Pb2+8q1wuMUogb6JnosejfMZNIH3rgOndI899titt96Kfvfxj38ctegs6IYf+9jHMOPBoIaTRY2qHU9UAhh/6Zd+CZOwP/iDP/j93/99NBw6Gjo1hiDwerIaVKPRcQoE+RgW0H9RhSEPnRcjDM76vvrVrx44cECQstfrbTAYLqCT/s7v/A5OCNHT0Rm9ZDrXhHd9vT24MIjZEe4M4smS7p5ujKpK0wyQmydvhTRoJghv02YjgBzAZtPjrZAV6PW4hYUjOI6q6Ia4aAQncXDH4fj48ePPPvsse90xObP4yBNnurvq97/r0Ktnpk+enVpecnficPkDYwWmGXLUxnDRWe9E3f3vPjw9t9zdVXvshQvvvnm0txuPtNCGzotjq0xx5PISTuTkdA5j0ZEjR2AJzgOFWAYfHP0xwuBQjnkI5hsYczBwrQ1033hkeH6RzEBLjI70Hx4dPP9aFwYf4ZUBB5MWnPhBKTRidoUqjAzQAoGAIQcXhuA45kJyGgktwt4FSA9UQIEfE5HnnnsO4xpCg/EU1mO29G//9m/C4NjiqwIY72SWBvaDBw/ijBZzEcxnMephFgW3MXOCw7ADQyROMXESDLFPPvkkKH/0ox/BW1DihBVyZA4EXtCLLliM2SLmUiADgTUDEj7/+c//2Z/9GVyFI6DE1SlYC6U//vGPdUwXFszbIAROITSoghnAYATHZBFFGIZaGJZwgR7TWAz3GJoxA0OsMFIj0ACwWWMgFikFCwHIcC+n9ZjSoUVxPIDLwCRcVsI2wm2ZYyWh0yIdjLVAgCukF4a4CoMPzZ74sSEaiZiaf2RYojoJlAKugrA061pcWkTnRP/ZrniiL9Q7w/wjHk+3y6jW9EajP/ovzi7Q6WTcxIgjQuEvLs1iuiPjALowUh1DEjo+TsPQrdAokv+gx2ibHU/wNMIPfvAD9MS//Mu/xKUvXC1GXwYvJEivZEXrGJTQYaEONMDLxSqc/5w4cQLNjX6HWpzJ4CQVJ12Y3mE0ULdhAxIGgyCOBDAPlBAutZRP3JcX5mb6B4eWp2eWlpd3DQ5iwFH2dgD2sNoOeW/LuPYikM2BLOba8wpd/k//9E8x88ClFn0mEhdEfvEXfzGZOQz2d330PUf/88encMvv1bPh6Uk8boRTrH//939PnO/qqv/4hQuPPHF2eFfPg4+++e2n3RVrHOKxQS+0CEtPD55fctMvnN1hHoLjDo7aPPjsxR4TDMwrMALg8I09jtEYxxZX1lbwTIDfAOEOJuYSGOVAI6d5mF3gpE4kfOtb3wIt5GO4w2Fd+DBQQDiQGLW8JPdbw4gpAw32oLv++usxS4C3qMfFIVxDw/mo0GJyQJcE6nWMaxj7MPe6++67MWZhpMMdP0w/YRAoMXKBDDMtDHkYcHFhCW5gLMbwBxNRhbhAFIhRC3YgMWKKzyhKFchAD7wz0/9gAuRB+gUvhMByKEUR7ApneUEgYgHANhiAPVhAiYCqYcmNCUgGAciES8QiCAkZamGMeIFaWIVw4zCAC4wowhdRDY1ZRvBuzSZeqC4pYs8A7eQhoDU/raHrt1zHoZVJDiHSZ6KFhveygwrBGV2E0+ImASuruEO8glAn2jdJXZFYPPWJB3eKajcTH82H2qgI85WlpcVPfvKTGGtwuQiScV0KJzZ6hRzZLl0eHQRJjoRHR0ZnREOgL6CY7TIgOHr0GJ7BwvVdiEVnwdQHp8IPPPAA6K3xGCtxywDJiP4F/PHjx+W0UG7E4woWhj+cIMEAMGJih05n2a+77jhswCNcoJFRDqphMKZZ5y9cQH8cGR6em58HL55w3zWyXwYrSSGYPbx7eHvTyfryNrwJEZBes1l9ZxMM3lkiL168gP6FC8+/93u/l3tOggH5yJGjeAbr7k9+8b53jn/tWyfPXJz9mZtHX5uYvnDuzOmH/g9058Sl8fGD6KFLI3f/0ic/+4OfnMM9tuPjQ0+9cglkV5/9p8nXo3tTQMpggt59//0fwumZSMNMBpdv0K8XFmhmghtLuMaG+R+O1KDEXAIXkiZH7v/V//7ffvHe65ZX17o66z/8ybn/+xvPd5/8u1tuOIKhDFMovAWIIQLzKkwYTpw4gSEIeMyuMD/DhBLTHrkdJxplD2PgMmCaCWDskOEDMwkAGD0hFNefUI2plc6uUBQCGIcBFEIx6uFxImjFrFBGLpEO9RjpAMMsbLhaKPKlVhoAXCjCSUFirw0jgBaVAADMxR4GWKQIgVJFWliRAohewAg6rLIGoAoYGJywiDRRCi6pzVUBdpGPdAElNozgQIIYexTBm5Wv6kCjsAMYxbMZQgiBI9OLP6ZMNPzos/CxPH/ph2dKvGMqITUzHkcMPDZEOGuMVO3gPYKP60ZyDN5GM9HckqjFNmzeUJ5JoWIjmqrp7e3BBOsb3/gGXMMJEnhxcUhnVyjiLAt7SXLpHUIGpOR8tstgGEItEhkAxilcHsNzD7iOJUJQJRsNUl10MVLeBkduY16FMUe1YzoFFTJuop/iCpZnpV8MVvQyALGvggZacNYLenuuiXcJdVSZxDmoT36w4VKo62FW6NvwWyoC0ms2q++8pUKV5wz6L+YDf/Inf5J71AYH5hvYoxe+9OLzI7t6Ji7T9ODl01dx8yxPHh3ocXGGqhYu/Mejr99z60H0wR+/4C705LLohAZXczCLEhocEdDrcZSXLgwAYwUeW8LNRFwSkqtIoPwf337t5VNTNxwePnV+5omXL8r8Qs7ZcHUcAjEpkvEBdwBxJR4SMMPB5MzOH6xVmG7CBbBAb7iCBQqgsFlShYnUjztAZqecStkuQDRaRYJpl/xm5Vj3PS9NfgKeISlijxAzmWJ5rqMTI6rjgsxy/ASIpkj6z6th0i3u/5s3CTBetQlE0qIvoZ/7mLdFbosRwMRi2yd5bfHfCkE3hF9Fg4OlrAhjLMHyB9JeyyvLS4vRJSsrBEOtDNDQziNaNECt4Lw4c/pr2ZEVmGMBg5V7VldwGhaxM2/oWX31lYU1GtmhC/0WRmJu19aksqa9Db8dgbdCBNBZMDgUdUPb01fW8E4VnVaFbX11ZSHcKBQ8JigyYYLk5fXudbqzEra15dm1lWi4sCowo8IidoG6o4YLQ9KFYSGf5kUjwGqtt1bPPEyyMsMnZUaMHxMiFF0kSscfjBoY/7HHi7EYR6IJVsK8vUUysWC2l2cYjYbJBpRMYQTvKPiHIm7LUuBZEYmhKvOPiyzfIEFgNifMYHgoj2iiyh1foOhnY7rzzMYpyjJuC/bRK3vbbp2c02CA2HZL3jaghQgM1Bfn1uhsG2NxO+dVW5yY0RGELmunW0KQVheUs3IKCDeKtuZtmdKNGm34rf2CbosXWbFG59vgjozAenQkyJslbNTs7CRJtWA+MzDQz9M9jGa45ENX4/FwM844u7t7aPbHMx66NclXioDtxG1S3AfyeB4EpRKge2SIRLiEph9VR7D7v1GnqvBfm/fZIs9wlRMvxEcoU0j6u9BlkI6dpvNmk8kQUIXSDXERCHasUYmX9eRtsiKyiviNWCIqYM+5cxPjB8YraqxCZqPWmoVWQhWNDWi45URmRXuI2DBU5GpgxuZUH+2efHN5BLKXV1bwAKkocfbDbkDeev+7OXbEUiV4ihNDtAigDJMwC5u3nn99wUrcYbB3QhrAldjr4uFpx7jgjadrIGRUjX7JbvEGGAWk2vUWJiUMbdveSMGL2Fxr/bYbKbEq2gcXXEPUcGp+8uSrk5PhyfTsdCVIC/wBlwvRlENisU7rH7mtf/SWoRs+gqbHnVFcVIMmAPVTD/TUFjB3wSxHdOMiGx6SwFwHUuRMnSnXcI+mBCnsOC8EF+5f0pyIr93d8957wQVrnEWUfHxxfvszyselvb9bn4OcFjq/kUhTkDnCkjOJUZpIuDKL61hraKuILiFvZ4Cqi8aV2XMTE6P7R/FUTTst2IAsPNaDZzM3yR6+4OyN41bUNhWsb1BtPUJTV3ecfCiqHl+vqs2/bB1bTqbtqK2zY72/e65/Ga8ddXSvLGNl0ox5YnHUFKDxjiT+RA3Bh8iIUbhkqBdFhOHQuKKKdscDKktVO/aRMU6096Qd8rdEBiKjcQSgxU1VLgdCVsEtFpRJ82jDuxR3zVfSduAIt2uIzrlSwhKU7hBIDtwwRg4uSC92RG6E7DxHpBH7+2+59bYffO+7VKp1TF29ijFcalqOKhp9ZGTP8MiwSKDlZHDXEoWB6++95547Tl2YxWIVh/YPYh0wPLr/+gRWoFjBGg/vf//7MT3ChnVl8KI1plZ46wcLSoERdFh5AstXAImFDH71V38VSFDiITIsowUkDjl4SwjvHuJJWLzygzWa5ek2VMmtVjEFe/iGK1la3HFA5TyBI00fQMyIJ7wkxE2DqM8SknoiDyN84iDxCaOi9OxgJEO4F0yDUMA6UcwcYUUcaXCbyKuvd+Rex1IyT751v1jamxcCoBdxq2vlPr9ZVuMRH5xjoDeJPdSYfrON6HEIMlliyVD07R6aQCGit7bTkcWWneCYiJEpp6Pcnh8yWbPRZbxzg6u2xyrWOlRfmF0b5PRHcOnkwhkTRlx3zzw0rVC4VgRaanzLoGR8o0KmedI2zBCQhpTI2bWxnxxjxH4+1njZ290o3o6CX42MAFpUcply2T2qfIO6dtIiquCv6ZNKEDWBb15R4rNEVfo2V0TWKq1yAEc5JotKsB+bf2ZGqFMZ213WqAigiax4Pm65eSSQdHSLnGzJATeEIDZ0cNSms8WgJfRHCqY0HM1AfBPi9T59bh2TFlxI4me2nGG4ElTyjpq1fnp6KkywcDMOr9OhGqtBvPDGpDzhf+nqQn9v19AAXaa6+eabMSvS53bpglNHB2ZXclkLe1ThSVIgscQD3tDBqlFAYl0cmTzhOXy814NXLrGkBB68t68lWpsk3N5rW9M+2MexdYmc56EVtWWiXunajjzynzuFxuAaCzGs3pww4jlDlUWTVbgkNXK8yUGRZq/AQIpqCFDirndivtzMVKah1I0Q4CRjdW310KHDzQmR8ErwlVNiY3om11CAtZWF1jalYiigTIffC+cv7N23V0McmszrymJQk48Uqzxj/q+ncYdDX8wndthKRKUS2ltJ3hub0GPkrBdaDLplnRDned1oaho1i9ndOX16eRQtiou2zAduNkP7YSLNF/HrzfW/mj5Fnd3w7iSQ7HeRScwKseSKfKKEZ3OKvlnZBBqdTCvz2Sd1Stqo3YjIX+VyNsupiTQu75M0jHLSCeKf7ds5y81BxNiCALhmo7GAI+DpDdUOANkq7UwKiGXSjNxawVRbTOgdkW07C6M6KTImiC6FsII6ZixYG+HBBx/Esi9YGRTXkrA0MZZNwNpVmMacOHEC0y+8yIz1qkpeJ4SScIsQn8ReXA6P3+Mi09LyGm7tYUVyrNaV2IM5E65I/cVf/AVWCPzQhz4ktYAxqfrHf/xHcGFOJkhctcJ8CxfAsNe1shJpGPfyw5fQoUipVLBJl0Eldy8dS7W/mJ7og09E8TSIa0gBC0nVsXYVaO2IkS6VQBDjmaPEBSvRwM1zGOYNg3TajufaSp/H2rASLyBx1bYCmmp9bWLiHNYvGRgcSNpXiyIIFicYHmZJuqSJ7J1WaqREcSUMsTPn3OxsDxb/5tMMJ7PST6q0ElNMFI2lMsLGBNdOyY8BdMTEf+mYZD7C5NqLAsYllP0mbNS7KRbE5Wq8PE+Y1xsDNb7I2YkV4MAMHD3BoHICf3Uo5SZ7yS+/ZW3zNTv0N8ozNzpGHiFuMU2uI1EcQB/FhJvZsEGgCZlvj0RNpggBPgNEVlxylYIMeyhCQbNIZSTMxjofBIvaDjgEQOJvW0HCK3HW/aYayUdZZ5I/4tpisDY2Q/FJwJMiMUlPV0VSjKVtsISp1b/+67/ed999+OwEZlFYPgYrUOAKEb6UigXMMeHBIljA4KMRWPAdazfgdgo0gh4LOmARB/2OKpDhDgsWoR/bEx5n6evpHB2JFkvEVQwswYf7IGDDShLiA4pA6po3uOsH3agFUlbFAAxGWIANMcG9QmGUPTByINTDoRYBWKQUiR5o3QDqnzYFAIxvfqN+E2OoLYWYyVJiEU40nlNFVAXUPgJalqKMkbjtKEiM6+7MPrZArQQgmwUwhFITUVP6PyLysEMGjDSwbWKuAwNW78Q5xNiBscFdWHMybBLfUGYIyASDIin2reraVoRTRe5mfSuEYTJON/bs2dt8U+cq3QCSnWQ/EfU2JF6hzxnhaZNCvTY4tSbZYzEi2SGpls7C3R+3HH/LiF5XwR9tIMV/IqQplN1ICCqZBlVSbGFPr5DzhgZlYS3IKGQh1+zmXPHpniR8oZhtruDwk83UlNjQLBpvngwFfxQST73hURzSmNgAEUwazJ+XsSm/4odo9YNEcA4q2WG3FwusbTsUlohKnHXP1pO/0o7UlOyctKn4BowWAxnXSdGRZX5Yo8OKdm5HwtiqDF8TCBGo0lR+IkLtT/AVipgzffrTn8ZUCXdL8HyUrMyHa1pYPQvrjmImgxX1cOUI15hwQw+zMRGJdZJxjQkzMKshXMFaXlm7PEWTJ9kWl9euTIcikBAqHwcErKv54Zj313/915hCCReewfqN3/gN3LkEUtYeBCWeav/7v/97uWOYLHtKp4rxJl3WdFyqToqBI+UONQw1qE6oi4rNSkG2ovWLpO0UvDVQBg9g0K3IPikThMgzrsZXBtydc6bwNP43uCwYL58j4QskkrZsg2YxQsfkHfNzc1enrh46XHJbMFUhjI33wofe2GqT4QLyGH//TnW1aooK2CigwZT21GJWLh0sdaMIuAxwOImJoZFWtkQinPaJ29l4ZjDEkUGqORZw2cUqyGLfXolOy9IsXO9w39lATOQSVrMSmqLP+h61xeaMIUaFRM60PrVfVETLMH2wNEDB1bjds63pcsXk0Oa4FizaHEjiJXvSIKGSO3JcQhVwHKJGFtgwN6LdSD3FXu6IOntt0Rnhe7RrFZchaEdxVToa753v2SbeiImbx5uxU1qnSuyxFjxmS7jndtNNN+HDEphmwUxEBhjMbfSFP4QOK5eiKDHEE1pYihmUwKhbYYK1Nv362Mjduwe7J2eWDu0bnJ5bmpqjh7zwVLvc+7DrtMrDvJi+YVonEylIxLL0+PYhpGO+JRe6gMSFNTw4hsta2GOyBSshE+elrsXVkCYA19BNcGRI2yAiI9MgpCkNYktA1erGNK8UfSWL4a4XJZubQxFXFB7f1RwS38Kld0FjGqcq4vPqm/vNEYHFtfHQ1fj4oeYkNUXNXUTCkWNBsSicdQwODOor/cWE7a/xbUoDCVkuhzApAKdHNHeYTA2QQUH2pi6vYTNDVR6RkVEENhXZIiHuGOZkueMBE5NVG1CxiitYwr5BQcWWl9ckbWFdCwduWGh6rc0BCDc15EpUZNcSFUlPzxTbcaLo2kQi6wKgucllmMkZFpEkoSqrS0i3qOgtks4hJdlLwwGW+Pve4xlgnwGrWavtTEKdWC9fJKg6V4RWuhCL5R6dBv61jRF1Fk+VaXHnHtXHCWnFugZ0qKZ+bI42xdg8sfionhoBgsOX7vrtvTgQ4IFy7DGvUmLcowOs/UiKWisAv0ju9NQ++clPyZPzCB9Wf4k6JcWUD6axAFCqAq2pjsS0TNj3j47edvs7VUKzQF6kmpWxKfS5ochqonGFsb7LUEGy3mKEEfgEmW0CodzsPexA3828V7hZrXHlymXk9/CwuyW9WWpM1LRdDC4fxKkCXtrAN6PyqwuwOj6intpUhxgZy+zBh7zFf6UgidG4SIi8rSRMVn0e6zWN00kmeVEShIyTOG042jX5+gq9BIrPWWK9veL+1YzcSJFpazIvvJlPpbiZs8UsPTvYsjGRZTuhgGHTmuEc89MTW3W6tQQXAAAgAElEQVSNwuKg+GVdtW1N7po0KU7CHReDpPlgHxmPNt3xLfjE44/JHTm4sIwvJsfjbU6g0XjSZtKWMQXG5+4evDjIdfhW8u3vfCeWFIppNq3kB3cox+QarxyKpjw7N82GVgVLVMFNDaAFCnU69RENSTtlu4p6nT1kZjGQmYts1RvLp4ZYZCFMD8vg4wU09Q7z+iLq5kRnpJw9e2b37mFcJc3UbCJCbEbz2YBz5lKray2CMDFxdvzgQa6CPf6XTPNUxkwebtJWJBVJjHLGo4TCCG0BTISRTy1IaRdLm3VHweMDtrQK48t09dRWFikQRMMsDk79JJlSH0+PQG46PElJEkIsi+zjI5BRIFyKSIrAZ8eQ5KiWJVBpOx/INT7jIIc1DuN2uCaHAGoisZAgnk6IMexLsF1csw6mjSvXLCi7coaE7XCwaZ3Wu8DMLeVCZM4oOFxpDALX1kJ33HkXnqaiuWAzW0zNJW49Gh7Es3X6DGvXnr179QkqL791z8s5Eej8ZvCK2/irzobAcer6SFhVsJrRBpe1U13L9oDkIEmdL0tkhLcbVNPaJriBRHSb9Q6sPJu5jtU2A5AqmL7s3btPHt1rWa4c9bSB3JhH7lHXN8dE0gAyiwEsGOx5oAhRAWby6uTwyIi53R5qvbUZTAbhKbfrF36wahlcCN5xJrYemqTNXNtDnjxPaAaGWsdIfXZqddCRcDQCueSKRIZliknpEOFjqQZnQplBKGmrQGqDP947C/FjDG5VyXbyZR2kdrBtIylLoW0tvO54qCKhMcAcwFAMwQyNbS0M9RQzW0Plks2Rxvygh2qqQkLqvkTKTq3SQChgLdXwAklt21TgrKBWYYzheIQp4vY2oZn9EYSs06NDriORBC7gQSncUIRTOamZg8oKqIyRRCkxSw9mFGDd1IgIKQmnRASEfBe0L5OAOGtZpMoVahag4AYB6gtZ+Q2FtsCSL7NtgvLFOyz6PVpqk9ZuwOcF8R4HVrqSO9yU1pIA1Kzkny+TMVkMIdk8rovikTSNTxOSI1shhvq9J8JX3ufnl5eX9F3aUNEeyGhqj8BGUkLGxn424tvaet/sFB4aBHxScNNIQQyi1rdlygdkrFxxlZsWNCIF62v99eVzqz3yyg2IUZWkSqDd2VBiNkXBhoLy2/i9s30R66KGFFTiJCFB5RNCaHxScLKwyxqHkO0gddGwIi1MFBG9l74lv061GGDMkOPplpiw6UqS8EbZyU0KAumtaOOEuKJxkhnCm4UhJBVryra/WLii6i74Iy5dmpw9NYVFRCMHc6UMdS+cOLgLysKRj+lgFVkPAbZPIC0YKY4RIZmZahFMTo0QJuQm1XIt3D6kOJ+Y25w5G2JuTtWGqOkAVTrHcunB/qBl/eHRKZUWt0jJajxmiLc2sL4IvqckpNmsEF5rfRaTSTFL3jxsWgVfUMebuocORwuONC9xZ3F4//yvHq+y0d+Y4WhxiAyjAaSJzmjQiMYQGliyw4YZBMmiYDjblxkitF6AhLveseZMEkalZmHX7o78iENBYdapBtfuQF/d0EG2s3ViMDujxsctmHVUGo0HGPW3iEpod9jedojEtNj3pFKK3GNya64hpPdTfjkVyPpo9Mi445lChcUUwYG6rVAXElDMffbCruVd76gi/MLqwp4rT+3ZM2LHXtxuxKtenfVOCOzBp5p5g2RN6cUlfKywCw/U92Bx+gqbLFTf1dmJR8YqkLedRFuzRckb5W9Rbets0iN1aJMjFh0L0/kyyq7v06ESL1nIvUJAcae26QGzmDY1L0FiRQ98EKrZx8ZTofnlNjXI+vq5ibOlC0bkq2+IbZN9DfVUJdCRyDW3tDkd8LIzpPiKEWj0kMbaRJRkh7S4Cg/WJP7HxbgUmNoF4UxBTZIuQPskg9ulbFvlUCTTKZfrztKtNQ4bN1MiyQppiuyygqOaFKmShgi32cCnBsfGe478XytHKYJqRbXRZ5W5YUCj0ZKklJuO8iZ0aXVLOhImCmxLm8xAXCO4yTQZ6PCZQ0fj5uLMA5lIgKjGLC1Z3pAJV7CgmpxZwVLGvL17z0tH+i/+8PLN9+59Hvv37n3hx1duAvKxyRtPzeFTEvhKcx8+VBh6A3PhvZujB4+88eabRw4fxmESn/WB2N27h/g1q/GJc+dvv+1WLMM9ODCA5R5mZmdx4xN3KHGTBQ/w7xocxKuFb54+fd2xY5cvX4E5wPf19p6dONvb0zs7N4dpFj43PTDQPzU9k/tipFhesN9QLjXLbIeJAns2Ba1jmR4VCGM2NLTFhKFHqKhMW8B7Xl/jy0ITSqQmzLEMvlkQF67W19bx2HjM2GwLxNxtKqkRE1j1auwAlsH0YWuTgq0SgxxAg+q4A7Xop7ZIhsBbkzsyPqxL+vhhWpDBajN2swQNmCEJ4NZCObYEA3p7Vt//vpN7B2aXnuw9fXY3KuBaWJ8v9CtiSb0OYq5hKHRwCZS4jATIiRs1sw4jlEjkt+sKWkd8zEuSvRBG+oLUxzkT6jY5lokl6oH6Jfqd6U2ZZXrNJjvRtPii1E1MbsrdxAjhJYE6SRIAGLS1h9USUAqLYkigyYoIT3WVN595IiHxkS2BZkbz6FekCJOiF1duvLC2r6+2eHPnyyN1WhCrqc2vg2XiemJw4l/P3ru42vPPZ+6DLNmfmt//0QOPyQSrSAGGaTwvj2dTME96/oXn73jnO3EVCjjEDPMnTJX27d2Dx/WPHTuKF+8vXb7y7DPPggbLaI0fHD9z5uy77r4LEkb37wPXqydfO3zoEF6DxzPOWLwUALhwkezxJ57yjVJkRT7e+JdPsC3YkIuiXoYoYwryJKfbU67KxaMQDJ9RgdkNEAFhRjuD1BHQ4pqCYQrsyHseq4moY7ErHNb27HPLMTRlgCVuQqVlqwZfunwZ67rJsnCqCA2UDXU1eU1TyZBEKWHHDDN4kcS0SCiMJmKk25tRjDnUGxJAWw6CWQXvLSBUhlIEXCv7Y0cnx0ZnsHbf7bdelAlWZHnioXecI3St+e6Np8OJg6nxKBd8FZWo6N3mxvVHRgoMZ2BwnOt5R5WUNqYgqGth79xIbSfHbUcLcSlwKhVQQLaT0Dkms8viN2r17AuZEQXDeEEJxQ8HUQKAiHKINwVQsrBUCs3m7701XpOzxKF1duW8I/up3dc66g8v33d2lS4qYTu5cuTnex/ZV78kxSp7iOkiWU6RY3nsyjuWVulq1siu7qszyxrTN+bGSoSuLC/39/XectNNL7744kB///59+/ERH6y4hUtZAwODuF41gTsrE+egamxsDJepoLTe1Xn16uTePXuGd9N6DWC85eZbzk5MYFKFj0lfvnRp99ButC6+PffMs89CFAYBPP7c2UXPjW3vFoYj2CGtZQYhqpUmMlZK4qHdwhAkUJp2qXOB3kpLuUxdm8HUnlzx8ApO46pOa+8VYnZVr9d0satcFduOpIuyvHBuYkluAyU0SVHHLKQJ/nHCUAApazKbJ6Aml3piSpbISPIhKZLMPNEZXVURbHYgljGirRqC8E2Gpqd7O2s4CVyfmSl/FIHdixy3zSgB3pIQBLXUqDo+U5u7TKKQyWEDtJwLGeMjR8h4+ue3JH2SIlEZG1AKKryEt8ZvxnEKUew6OUrYDClV7MhN7YfZIXksDF/4cCYppPMPeINr3fCUkyraU5WmjwI70v0So5zh8lPrOLc6jtnV8tTE3Kkn1lYW99z5yadXbv1gz7eDBAoGqAsGbqKr+StYganj9uHXMJdaXa996M79swur//7YeWmGw30XX5wufLAXT1a98NLLuNSE5VBfeuUkbuRBM1YuxbWr6ZlZFE+fmejr64NBTz3zk8463WEZGtr98isncTUeb7xPT8+i9ulnnsVzWjALF6vAiEtZuFqAS12AX37lVVwe4zVSja3NgOSFmQa58UR8YzmwLUuDcUdGrWgAAnPeEU4yzxvl2ssXRWGK1NrNBDZRaRDN3bKFtRtwZ3Dnz66QkLNzswcOjKOZKB8kbch5/OcCdhwLTRhpUC26/BGaMBoRla0SrmTvCBLszimyUzCHhl/8+GIFA5sgrSCtFZKJ80OPfudYT9/qi6dxqqr2KFAi0x565LhLmUCc/n8JM6rkUCe0OjLJkB0XiZJThq2K1AaLSVcmUWLacnOaqc3IFV9URLBWUW8VIOM6OZa4D0wuWbtjQIOOqkZy8EhESiJYpkRsE+84i4gqSp6ATYiY0u2kXTN7+O8nXgLKPhJpxVwT8Ow6rb/YPXQAcd19438DDEzUrM6/0ATi1wxmM3OzBK/jClZm+97F29bWafqAw96vffAw2gxzLBQvLLl1QZkDsqPwoZl5ySKKPR60EqlyM0VgXNZKABQHmHJ1dV0A2QOPGZXuuzDlWu8QUdACDzWlRGA+hupcvsmwQ+ZyZgiX24sT3pVcmsyoFQnYwoK3sq0q2yiUDgL4YFMz62Px7CosOdtWzwqFufzxje2nS0SPtk6KQK2trp07N3GYvlMu5yxJRnAITRzlo0OqPqFW/E4CjPUbMMt0L44iR3gD8raIdf5Cx6srYyt6zqSHqWr6JZ2cr8zL06MA0cFWQmPmTZDtkKzFhC6poWpLyeQ7bpexEFGJ4pgh2HEubMSgfO+SEFRrR2Xi0dQZFcN89UhqMLiY1LHdOIINzUbcLORl+WKJqHIKeeJFXOyVt8KaVihy2yuG61dh6MLl15cmzyxefm1gYM9I/WquVbYJQDA3Py9fx0Hj0OUi/guMHxh9+l/PvG9lnT5YePby4tHR/vG9fROXF3Z1zStRwoPo4SUcrRVAE4WKUml7HNHbYxlT0TWkQLSytIxn27E5dpGbl6aRh6wr7DzXTvqVcLTNojaL24BdTc2xWptdUV55h5HBNmG4COtDCqUEnKVRtlBuenHseFKEOtzdxmuDCVdZkCJ5ZYTV6tosrprSDVJpFH37ZMYHq2B7PcSnu2h2FU0IvNmwEpZrFSeBG9l8Qvhfdog9Ce6w1yQrSEjzzcbhLQRHUYFfLqCha+aN4xvw3wregJi2sppsoZSQSwM0fHGC+JQAlRgvIbOBs50mhkOKtdXidgtTo61XVglHAx2qqN7SbjE8Wr94Y9cbL+07Pnrf/wLVA7WFu7qfrWgDniceGxs9f+58WAdLOb914Q6ZXb12bu7BH5+fnl+RqqU195ohijRgcH4AwFCKDUW86oengPGU+uzsfE9PF4JGyHq9u6d7dnaOLkHVsHj8Eu70dXV107SJhxrQTE1PDe3atby8gmtgOjBDC24aDu4axANbWBICZJcuXe7ti5Z4wINf+Ow0HpPHe4vSQljTAW94qS9bAoRcZygUm9XeOmezmjaTvuEcS4Zafu6qvnt42I28bBJaPypy/0TTi72UG/inndazWG+yTUA8rW5Q/eabb2LZCPu9z1JhWV1u8Czl2qLKrHGbrziEn1uWTNhUMzRb+DBmsglpo4mkeQVTQLK+zGYFuzjPTGySlIuLhi4fTKQFC9s8x8jXvkOwLg9CjOUgElmXdO2orlHBCG5EurH60HxQqdM6A8vRUJQAxqYKCdaiByADR0qi8flJGF+rvG9NgN2MnSXvKRQ8qUAVAh4TbG4kuqZmu6emMXFZHN13b8+PjnSeeW75xqOdZ090vdFbW6io+8DYGGY1IMazUHAFLnADM/cHx57qqq0CfOylSZ1dodhXX+J62lGacGgwmxEAT18dOnQQ9wFvvPFGEFx37DpMepAyR48d7e3pwbzqwIHR3t4evAx47OhR3EQaHx+bnp7at28PpmUf/fD9uDmIJ64OHRoH8vChg1jfAQLdSFzrwFcLoQZPuB8cP4APDe8ZGcY0DitSDg0NYd4GRiz0ALH4w+xNjWwVQH9o6s/r4ZyQQlP8SuwF7ehflzCcNjA0t7iG22oIIl4gRU+RBJOhiF1FwkxemcQMG5+aQRJRJvnNJZYWORK+5IboTYiOtkAK4BRk/MB4N63rllYVYLLWCSOHKlNZUWi7yDL6txQhxxb4go1HnDDmZO2QQUnGJYVlnLJFJ4oqnDTNFg5aKFHRb6KOSoyr1+LH28XErE1twngr6Df4Eg/CbVK1o8XEXZ+jwe3odn6E2WwfvDoaofJgyitpJrEkNF9IqGgYA5nSVDHeZqYwumMqH5k5DKSf/goGHU71qiNUU8RV7G83DXc/nl0gGuQy750W383brdTJ6z1/aW1udmrv7pmhgd43TncuLx3pPH2gdu6W7herz65g9MWLF3HpB0J5HSw6rAWD/+3sez9y4LGTswevGzh3en7/aO/VqZWB3d1zdw2/8t1Lt3fjfh0RUyoGz2sdWGUU/3p7+6ampkXa0NAuTJuwDtbU9PT4+IGLFy9hwQV8qR61t99+29XJyePXHVtbWwfBqydPYsa3d8/I97//g7vuuhNzppHhYVyvEpvwgDymUItLSzfecMMLL7543XXH8Bw9PqVycHwcc6yjR4/Mzs7Qd6PdABsc8ZDxzaOa+q3ID/0VKZvS3l5idFMNFJoPjUjyg92AQhw9gUNSlsg/Y1OUOiTJyyKm3LUbOnBnELNqXLsyYloGRd06HkLHGloV17CtqOzChQtYjw0yvUsV+YrISAyiH0JURPgWwmu+US6R/y67JLVQi7ILr4+yxIf2FgPYF12WiSRQ2fFXQheEVgrlKhYBDMLBElRX4t8AkXUTajk8LkQwI+vZBlRdA6xZh90AFWzPkoQ6QCaAaFGOJCWDh4lWC+74FUm0ETdw1EyRwrigTRejWytFhnkRmYBsbppE3cLbsJW/aURNo+SaEU1LcimKkXQ4nF9YHKWJ0Xq9PnNg367zlxYO48Wmsqs20iJorAB0rOMZLExRkDY5D7kvrPZ8c+Ie6EjeGXz4/J1d9Y57T3Q8eaqjA1eX5MNd3lx6VKqzPjMzNdB/vTyPNTMzg6e9bjhxYt/evZgYYXqE+RCuMC2vLF84fwHzO1hw4sRx4JeXls/NnsNr8HffddeZM2fQSXDFK0wEOjqmpqawPClWIr3+xImrU1ePHjmyurKCRU1xS/HJJ5/CxcTVy1ewMCkkLy4sdu0KtzK9dYW/255AhZYVV/jI8EjBI4ocHtCcviqHWcaIZKTI68NRSDxBhMyRnofyazdE34Sm2VW9fHbVnC5kFD5cg6VoMS/HRVO+KpYjIQeVZ7Pizp0/h8uiuEmtmLYAFH8e+Ju1py3aNyJEUsvb7xKNhhUSykVyCf/dkCiZY/ON64PfnsAZpcOTKzf8CZIypCVVGdquDpzlRQ8eNMOdEbcxBB8+gn6JCYv0HXFj8q85bkowHuIYwPyJSogS4/hchUdBSTzQxAHkSLpwhqgiCLainTGJlLRTsMoSD7UogITIIm2/s3jfOyPcTi40G1Ebn5ArnBbipghM521cV19eXusK0xp61gW30bAh2zjtJM5QAUAUYWGimV2Pzfe8XFvv3jX/7v7FEyDHkp90IYm32v/5x38it9UefHJqvY/eQq+y3b33jbHR/Qnl8tISch8XnKB+aXGxlxdlAI1YE2zizgE8G8onFOwC3GEvWCoCgCdPl5dwsWpFnBQ0r2Xaxas8OE7GE6dsNsAOtUU/6mC5PndoYusJFsPz8gidxFd73/CbR1mucctrIxORjCjL+lhXrlzGkvzNXruKxMXO4NLmuXPnxsdxF697BUm9soqI9fe591Vj2iZKmLHRHcz2XGNrQm+LpDZAxenkhHPOudHB9xrONNS7TpQkHg3W2KwWJ2tzfhq60Fa1A7WlXfW586thhVuc7+Gx0bYqaVlYCDqGFyulreMcJAdFVstmwOIID/6abz7zaNQPYzm085GxzLYkLMxSRr8ZHu1AmdmwFAQzSqqd5cgmmEYiOTTUfeIOxfGp9Zx8c2ZsL9IOOVRfWh5YXF48sP/JhRvv6ns5NzhXhh66uPrDbiz0PruG23z7pz4tcyyxHbOgcAXr4jP/A1eJcqVkkXd94pezSP1oIMzr84sygIytxc7lvQJc5cRIpSdx/R3PwuNSW0xfw3uFxOj4/E/g9JjN+bUzHjoOxY1ExdSyYIc44g5XjCa4mB4kDaqD7E2CSo2rqBNNg3cd8I7C5CRmV+2dteDZc8yuMKd/4403IHlxcQEJ03/ocEXTcslwubT9s6viQFLKFNfmWggk552cwdO8SNJSssWXKHm4n7uBitIPIBE5fVHPIk3BDqUpMmAT8cEKcpNKBsMF51GpDcrDPheTDtUXZtaw4I3SC2lSLObfqhrbWNBpR56kqnmLNuQsLCF+f6mJQEpJt0UwJXp4sMSaTRL81lR3sEJEgI2MYLI0XtVb9rfAZcRGW8b5XkC5AyJjc6KCOeIa3Mn6qNzkrDqcyTMwro3SbcHlgb7a8mrP2trC0UPM68foOHhr9aXZvqdXJtdff2YRwm66t3Om/4n+xevB4m2PbxFay3Af55Zbbx0bHDz59DNnFhfw7p9aaQAvx6CqgFXZMiGoIrycxh1+OMrWXzrK2eQTE83gLIccd+DxDmhjuRHF48tt2I7aDVm2IWYeU3HzDt9RGubn/troPm4r4/rr3r17V1ZxoXNlZGSPrKDWsgrMriBq7x6cxLQsowlGmSdRf9RpEXMjzWTOhJKkXChSosqczJtIFB729GIEY0OVoWrCyAqkRgVRyziUICuIyZCEAUD6phPZlGRLbPqz19VfWzi/3pbHAb3ELfkNIw/CbQYujph1uUlrWJYIUbHQZeAwTIoNaokCUGktsHBc06Rt1citGcKhxgfDQmJVE/oWocrGhhyz8RFH8+m2KQhiHrIont5QjikGBqvNCjRrLxhXhgY7Bvu75hbWursWet27L5T9fE8QgzBoAK91LSx3XVzsPrteW9m1p3NtZf26O+lhEhST1A9XsKw1+7t77r3uuvkDB5575pn6+tpnf+EXLq2vP/DAA4YG3kUdJyoYuvaC7jDERxQHiwJRr/EGEhhT1KDbg5EinSvZXlfZKwl9e50tllbZrIyI1jkzoqojcCPv8uSVIwcPITdb+5ZOkS48yTc3N4vvheOxvPMXLmCVEDyWPjqKJblb2aZldrV3b9PMnIsutXxeyqSHSn4DRouSe+FwaPOS6YXdsyJDTdMZUAkqAxtirqZlE1SYvimDXTVLEqocw2odnaGFEvIdX3T++OCgSL74abuaL8mGuAFDLEyHgsBh7go5YUy0YAKr4GsDMD45gyUUUuAg0O6ndsvGB6GwIZLI5JK1HjRWwJlYKEM0qt5sI2UxhbLyKtbrK3MDP5lfvdzXOTy4cFtthZ/FrNdXdrmV0j3T+lr3/Er3hZXuK2s1rKVQq6/0dy3vH5q9a7HrjcXuk2PHu3v7yZb+xRs9i/vFBAsVkZ04Pt1/8y1f/c63V19+6R3veMdL58//3QMP/ML99988PPLC1UnhS3kSqQVFd+jxx5KoCSHRjnOZohxgPCspsLBTaP1ozcQCyzcZbe2uqqoVnqqy20mH5TYuXbp4+BB9EgC9tvE673AsyYRSc7q6u/F5SrwWizceFhcW8GR6KXlhJT5DjvcQ6d1ad+QJQwwyLZoYuTwmUa7zEwXlI6M4MxkkAod15aToqZjQFOgYSdKulUa2ppfBuf74eJcx2jodcGkA4SjlirUsJfB6x2qWPYspkZBUSfJuREIiUIsk2c2GaEoF90UXBYEh2nnF+EWgHAkTCsZJM4nop2eqZ6cD4rV3NBotKpquKRToOVIqE7ELVT+VUE6IOOVsMFyMklj5FJXcQ6VP08BKHF7BdgV6vb56uvP/ffOx2TU8hVRfP3jL88e7Pl1byXmr6Z6Z57prT13Zc33/zME6rQYaTN439YuXh765/8jrtfWuwfm7ds3fLU7Cd/JvfT1nodFf+ZVf+Zd/+ZdVjgoecHnppZdA/c3//M/79+1/IYSIuncoQaMpET7GQJkconxUmSRpmGA2C06KIpNrroVd1voyq5ujLpO0M+q8P5iynDlzmj4ywxgkHfKG5ljhXY08gz17Xl2Kw8uDSMX9fNVq//79Z8+e7ezs6vFXd0GtiYpjis6TgLfFKcyu8HXzEX7S2WuPctV0KuIMRaVODatWhlovwTK4rlFQaymrwaoj6abCrbVSFJoEWaRn4yZWVJQ1QBuIDJYRLUvUCIMrWI1Imqtvyh3THD43uY8ElRDn24MzFvniksP/Mq3VauCIxvQF8CRVQeOOh4x/ZGtSbNH8OBySURAFwMmPCVrQYtq6Be4dwYIY6HAqwSGzgOLJgEZIIhaK7WmhNkdgYddzb/6IZlfkwVrt7POLe3/myeGVe7NqFsf6D796dGC25/x+umlorxF0rg2OXv30Wn2R1nVYD8vpOd/xzh8HR04EneSJhx+5yCsAoerpp5/G95XxsjqeodnzvnvHHn0Uy1YJnYbPsWWDGGPMMclxFDLG9TumFPsTm8V1gSBAMdm1V9qYJ1jsYDxeBp3mWEjGNT/HCgNYg9hIHwaRJJI/HLkinnOnpbDW13FKgJU+Do4frHe6Bf1toiZJKJ/svrKd7wxSfItjTDXuzKSEqkHkoupiXYFMaCq2TBWBQfTmQGSDm3W4+bRt9BKd+D5O7rOlJSwVq+hoKqegdsLEya8TJm756MqnE+598cWgs6JfgSGGLHuwEDS2Imb56SxpRml6I1w6BFFMmo+Yitq8kFKbclblqpDa3CogxTsxEpRqLcFUcIhcvzNICEu1ZWiKDNki/Nz8pMyuRB/mWPOLU0UPY568/vBNr5zZO7Nw82vn90zOzvf1PH77sRePyrMotfpaznUvEdsFtxPPl6ana/U67pXghSy8A79r1y6c2dPbfFiIHZ+7qbhp+1Sk3x6yJqwsIeUULKnfHt8aaN18ezEX3z20O3nqXHoe5j6YY62a4w2fnbs+SdMgMY8i6/xIstRTULXA2ONSL4oHDx46ferNI0ePJSy5Abl48QKyevfuop6Vw+QtoiqxOOZj8MgAACAASURBVGOsq7KUOYKqobynNNNSuBrrhqjaYvyGLGiJWRvdNk2RpJ76yjKuYCWuoigYmtu6mDNIYiBfDx4EuxQQPOpJLfAkQOdJCgBplTER4UyeU7F8s45ZRoFtbamcyEI6voKavZEK2jezVdQrRuYKrigBvEKZKyQXCV+aZcnIScJFVsRzCGnzDN+WInIbzdmJJIwNJsskT9lGa7+VY+HKzpCwnJB7A1CVjWdl4e0h7O/bXe9cX/MPCMDg/p4hLDmcu8Hgswf3/frXf7i0tNxTq6/OzH34O7OrH6i/cnhfLr0i3Vm+lgFc/4n/jsdZTp48ia+wvfe978WaQK+++ipe17ryve/j2oCjRHjK/6zErYbLLQu1AWrkDSjLNp83ZTRtr1PrIVnh6sDG7KF5Em8kBsOy36hXcRFpgwufA4MDgqE9b+h52PBtcFzK6uSXMhhR54MSVqilP+72HHLq/+V/Tqz9obUbDh68cP6cReZKOTcx0dPdM7x7OKkVRkWiqDAAuwleMFolvmrR0m8E3srZVet2SkSye5UoVSgqjcIKaFU5IDJBo5uhR+649JGUpMMLX6pnGkrSDiwwuoT3hXzyUj1g2csvW0k7ylJOT4JdnlKDcPbSDiawRgerRTmAGql1xF15E3YiJ/WejYxhnCCFyNRSddkfO4Ivn4lvHB0fF+68ZbzOEhdupRTTtMhAoPGGq1UcPmOkEqgcjxHK6nuoCFZwfKgoQGt7YqdYhT9MtSlO/o/TB/YGvQWwOgdKByvkMXm/rnFEoxQUZkCZuGXhLZmcbmyUUrYXyHHdq0eS0Sb6KFTmj5E5vKXxa8Hygdnbjtw+WONXXPAM1vjNPUNLd5XIufnkROfK2sXlxb+9+Mb3Zi7hNOvO50+V0EtVzluE//Wtb338/e//fx58EBRYjV3obr3+enw/TpYkbSh00whci5TLr0RULmJbalu2u2VG9ENkNm+U7Xxk0SLXJLU0XPB/6qtCSXsavkyxo2N2ZhZPX+3evVvqAqWBcGUAGvl+ds4snwkjmazH8OeByoBp0+CuoQsXzo+OjllG+KM0uH2JTzmxkakspZGKpJhSZ8rN0mcEtA+RNcU1KQdCYKGxMPTbSDVljjBm2RNLbFFhBSpqFHrW5TJZ7kCT9dgoRwUimK88Sb6jghO4tqu+cH51D83p/QYWIiUMWBXPOhyNhT1b1d+WecGIzTgcNApSa0MFQ1orEorIUi7u356Xj99KwaHTkgJZ1zy7kkSA1IpVNPSQc7RXLgUsWy7SqrZwCaOVU8Ri2RPYsktVEhUmoLhFjAkR1UWScAIQro8yp9pGAGIDgcQBMATKBi2GWUQbdrEXTQoU5shPlSC+aJEBipmJGzkuUcoVkYuMBRaU1rqO1j655z3Pzs6fH+jbu2vhnXg3MCG1fmPRUdSO9/S9sTR73xBduOpdXIJ2S5Owo9hFplOzBbIXX3xx/fTpDx469MLa2nM/+Ulfvf7Bn/vA8Vtv+dKXvpTlbwemUogqEbXDmnbK2CqjufVcCyIZebgiPyQxQ5E6KP0jPNsW91KP5RBw/9UDjJdVITr4INL83PzoGM1ski2NB9uDNUjbs3ZDLB2vE66trl69OjkyHBbpVpLzF84PDg7uGtyVWLgjimolrEGr2mJsH9o9DLPS/kJs4ZglkmYlWxgsSTERUlIUxog9KpSw+iryWUckMIs3vtb9Uu64gw0w0fHGJTfHzujG5EtLLHIdT6WuLodZlEhWGgVIvtNKPxY26EpgwkueVuKLyCqyJMIrcuWZYwKHam0awKYmKz8xIE+y88u3WFZGxFRUbfEWjpiLCy2wFAuzNSY6EjRcoZC8VSpD4oJpMSY9nJEhhVXEFgAbilCzzOxiYGKI+quZo3iXfd74cpO/tdXeoel3D4HLXUdK+YMVHR3n9u2+reP0iwsz//Po8ZcXZm7o23VhPx4sKWsQmEdXsND2caN2vDQ7e7Gz86O/8As9S8svPvTQs08+8c1HHk6VNy5b8/KpG1Pk820ftsjiInxTlvLsBxzUHB7OL/phThouk5KRNVEWEkNU25SBCXFW0Nr6+mUsynD4SEJZVKQrDkg/TsEimpbxuDqF58DwfgauVKkQqDp9+hSubOE+uCJbBOA/9fzMJnGRqmyMMuRliFJ2bnfijmZaKJdyeXWWqPxYqE4qS0KfFL2G8CvHl1DmwKk0wiMxhYiwyFH1rdgbQ2IlKxzJj8VwFVKPRTi9oli5twJILGyvys0SbpuGDh7G6qiqWhYa7msSjAMQuWBTWiLj94HMsgPmfNyshgtarzmI+2Y2LjZ66lOchIpuHrCZ3dHx0rGxG05duP0NknO0Z2BqeODRO443FEoTLDEoeRj5ytTUP/3TP+Xygx5vwnNV1mXHUViRK3HbkRsxl06jY347N7LXk9B7bJUd3EUGCfKiLIz4JEVqNFA2PLBVjGzbnp4+N3H2wIGqX7QU42h2X2V9rEau4Ds8OEHEA1iWcGxsbGLibFcXPgVN0yksyoX3Ng7wtwstWT5soyudzTdOoM9itK6kSmk2CjgdkkosrLpW657Y0YSTmaFNeIM/lOyMI4MkW0MloaISFzils+hNxPBrpEYtTVQ3Ud1bULQJHnln0kLa/Zp12XjCPsAdTfGQ25TYZRlTXgvBKQGpVT2kOCVgY97eSQRyg5O2HJPmUjYIY61jbb325kz/3OJaZ2ft8NDKA++//cTxS/smZ2f6e145NrrYnfOEVSSzhluEfnv/z33gmWeexpflPSL6tUmE4xMWHApTgYhwpxasA5Vt1KaCszbv06KefEtniydDUaDiKhiS1/DVbc2hzEE19rclpoxYrNW5a9cQVkzI1DRAyHUsu75IAwapjq3GRypXlpd1dQaVgHSlhRsOHsTHoM+dmzhy9GhezJXcAFa+hQ1JIzDLhv6lSOlrUrRwI6n59VaswvmkjDU0ft7PRw5YYo0kWiLVCRMleaUQ2kOPUUYCUwWEK9xsaBRWIJetSL7iBVhLVhkNFrvuXu5nIi2xBLXYEscTmvYWrUa1rTUVIkrsb0KUiRdJ4Cm2iNKaJCBWUa6pSpBb2yxShnSxwRnmZ05AelMhVe0NGqzlIVNCfTugjFo9Bqn0DInWvA1QBHLjkw1jEaUN4guX++tzZ7o7VoF8cXbfzePdrxzZjz9LUw7jWIi0ocw5dPhI9Ts75UI3t9ameTVNFFzuOunEyEybpFW0GaRomyqaJ1HInB3CYikLjGrebi+odU4vYQt+sQzV/Pzc+PjBpnWxezzH4mfey9cgRTsWhIOP+znK0TSYXb3+2msDg4NHjx3LoYhQkC7DLLAFmiJ6LbjBmcsWVgIBrMwiOGFptkhTIcl4TnhiJ034r55ZkQicecybjxzWsECaHFQgLJ8ucBRCwigSGsqxWhS2ErJqlCypUjyA7trqGq8NmDWAejeToopmCQQn3pNgK43K8aa1QJMcQ8+lpndZOxMRVqOFQdasAZbdwonGkiJxmWTSodVZ4sNphUsV8Rm5Fga6yBEnX08DjIQAYiwwJqnkLCAs0CVVCqioxAwpam0bATHYCtRIKjJLo1VvAxKB3BBlIwlipZxd6V6auzLIsyvgh9YvnZk5euNIwUIOBYEOK7njhcGTJ1/NVZnw4vLVoUOHE2R7iprpeeKcbXxLzs2YmIyPIiHDESCh1FFSQwZyN3B6+WnRd3tf3/AXFtu+BrjUBy+vCpGVZXV4GTvrF087HTp8qJr3+ZbTe4W8PlbZOu+lgTPZCzqJGUTWkNt9ff2MKOV3dlleQdmmcESZHyvZwhnCUoTlVAf0SgDSky8KkAihFMs05wkPIv4PGN0EZCHJrXSSQSHJ4Liiwq5lRpUtEjYiZyO8PbWl+XW6oZwKMWUC/ZhAzSHRtwOKOlMKGJGldKWVGxGyEd5SoxpUaoIlMTNdlSIs5iVGUsCxacZLUXAGBggBXoY2V0xRWlIjEyq1RwElSDBJUckUKFIhBM5TpWYgkak04qoWiZZDZDEajVjk26UoArlR0sxcXsU6WasSVUnQFlZRCHdz/v3Bb164cCHSX1Do7Oz81c981n1XpICmHK2n1xjb1B8cBiwMCTqLoiOE/yeSqWS2tOjHREOyQRDqEOpIqZcIpOIdoGVPE35tNwDWtV+oD5AVYuFAsZVQqQUXzp/fP7o/zVcbMAsXm80PeZp13ospTcwDEaeBGuoALNaA59kPHjo0Nzt7/vw5PJXlGUBQFH4VIrRJ0QvI/CYSi5zWPKejQXz8EIMiwaDhf2JEktpqWRp8FgE+COR+lPA5DcoeafzpKOyqLc6shbcf1GnOIi0FgGLFUUQ80Wi5AQ/Ub0McgQYJhngilvbBFEl2jR6inJ+5StEGoIGRbdAQjhC5wqoYoDTco4MY4OkxVjMg0hjiRxXAVJUXQ6kSQcTy9sYR0FgN4RW/rl19q/NAI5wrHT3DvXiMJYRKKUsiFyZYs7OzWbp77rnn8ccfxzLutgpPCuNVfNLK/0SNKkZRJ0ag4SHe2eT6Tjw2WSuToS0pNkhSa2ITsOZtQx6iTKglRxNkuaCEOCmW87aztn2K8Zoenn/KeSnPqrBwcANYyY1Q7edYHWXXsUiCxN4CQa5C58+dw51BfI0AGAArtHDD1PCwrtse9CpLDFR6/F+TXydM5BU7BwDdgZJcHJXBzvUEVpU39sU2iKwMrhqCPaQdmZHmbzURbyUq0+C99cXzqyNJSKgpQWPIgvc+42zradPbcSywCOQZI7wifWLkK1UJAHKtUgLUikyVHOmrUBBLVA44ckXlIr0ZMvgjRPYokOhGrQsXdBEUOeZC6rTQ0SJhp6KYmlPx1kdlw5FgqOiDJlUULTMz4HpPwQFLJDAuZydt4lomp55QtmWCdkMMpKUxNTsL7KytH9/X89qlA/XVubVa99DQ4KHBOdsJte9bu+04AAKaYOXSAX/DDTd88Ytf/PKXv5zzOiEfL2zXsHKTDpMU495kbWsXXDFbgrqmGZQ1s8KF1mwD0NCNKv2jSbuRPJNXrhw6jFvGtuNUNAXKcijdHKvB+ljKqEBk+urKytmJs2NjB/CBJ1SI68N+4YZBs3BDxMaF0CP4BDtLYH3lXkA2iB22IwjK5b8xM+0RotRLyFHXDpQqbf9My7gWLNVBFLUSfdQJMpc+cBpIGQ0uSBNkLk0Jva/q7OiSu9KRwPj0z9MaFwKKIG1uPn6RKeRc4mBSFAmKVEDwufuGNEJg97lyFJkbNNWSBWi6BB54xjMnARmjIqmWO4NgNN8sQT4cG+NCKjZAKyLrCTTaaYQTuZ6e0AJjj0394lK6s1xJnbBbZAuiskKswM2EydhoQpV30A/BLTRFnC53Pbc2QSZF0Vc9/GDfmlju6V0cPlRbWBnsqa921TG7ytmkR7h+AcN4A52EkyZYBOV5/Prrr//VX/3VQw89lCM1ba9cks1A5hlarKc56mI521lT4oNkmRKUZKg4IJRK34RXhTxnzpzGt/+QDiyskCyjqgElXfNZX8e6C6vxsgvKJr5mPRYCXFSbnLxy5PARyXKZMMnRdHR0FO8SdtbrOZfcxAfw2MFIVSY+GLwBE6Imim0RUkVf1NtLtGaDq9K1CgA2LSoBAJVsaxVpKa0ES2yFWPpEiBYTXmVRAsUwsLbuL8wbAhzMo9ZXFkOjOAvYiZVcLLBJZCkzcIlouIQtl4CrclzOJS7UyV2DLm1mxAnSKYBQShvnpKpQICM/B8EaCJ/hyiACN2tVDrGWJZA0825G4CBIvGHI8aYqwqQtcOY3GEcgZVcmdUoxDEAUkgBcUi/shUJiXlvKii8SwmZa1gBnhVDoUkE0lRUeT5+lCTKbgVJNBbwlZNmqLKZAalW0d9rSU7rhnav+Tl6xnSkQEzmaAMAm1JSklJS+qPgaFhoF0uGDaDzGfunSJdwZxNPBS0tLqNi7dy++LhcoNgWCHeKmGFQEk+6MyZti0CYKVRfVkzJ3CwxRXqlPigVMHt0cddw0kAFza9PTU1jMM1l6yssPv6qpyEWLVza+jtWRu867pLhMmPyoQHz4SBzuX09O0jedeNpH5xPUDeSfiK51YKWu06dPHzp0qKHlaszmAghQEgKKbqnOZulzhUFIkSKLt7DIUdsUyJVviSEEWxG94hUQ3mSftcQRMFvgLaRz5Hzww5fkvEHBOE4nCMJfIyGJbaFopmicqTzeBuMCYWNIuMQ8UFshDFtEJE26CB1HHeRqU6fYNn3S34ojWI8ZkewWC1Z4RRFZayFE5GAPzzQyJFAPeJ6GtVBbZ1VX9yzmTaXFtdYtUVpcb2kL4ersgVKD5oFQlatHYghzhY7nhSDkKSgxSJDZHR/hKOyuozgxeSpi8jyK7cFR/sAvcTBjApx1bSi+ewIfBF+OfxNfwzNYSvaxj33s13/917/61a/ie8+4fNXf3/+bv/mb4+PjeO7qz//8z1t4kF4lM1De2lTrKfwvsVmYGhR/ghJ/ompWsz072GED3NBEa3cR3JwnVko5p4YQZBbOFkVOkAxIeuH01PRhujlImxUhsMUITRDhm0/wxI1/Ug02v5EEXuc9+pYOyOIJkyfvwFqjuKI2MrJHHrpSvB87HAI9BLOrU6dOHWu8aoPKqACoe1nPs9wJDXiBSZBJ0QpRXYJMipYSQrDlEigyq0irlDdLw4ILdpafSQLCCkrgRsqCkAK1Di10EI4tj4cufayvSH1Kg+mRrFVrGNPDKgsu3BnGMBi7yUA8VheKiCuMQJpVREOfp5RIuniCgXhEmRwlHJ0V5VmLfp2mZliKRLWIL1cdgkviERhzpAx1kfst2hHYmpDm2iLTq4OwzYE0aAqU6qErlZbAFxTtXeYAhz4jPBRn4fB8hFfXHZH8NLMnPaILcnkaVMQdGt1aQOzBVspknUh5MhgurnkHizSU4KECz6IgMlj9UaR56cQEOGeC9cwzz+BzhI8++ig9vFyvLy4uPvjggx/+8Icx37IZHGu1YuOauFREB0OLqmIBVLKUFs5SthOT1UTNFluTGCfqs4xNm9VQhOYiRFu4RFOQ6buIEocqRSUAKHCNc98++ualbBGPJIqmNChQLXYRbCtcAM2A6AS6H1TgXmFHRzTHikmkhES9ePHivv37+7EiQ6MNiY3FsSYmJnDmUEYbeVVGGNVZZ1GhQmyWK1I5LUZgi1GyZoEqQpSGLNRCrKkAHRNpybqqSAGsoHJYMsbSJKLKi2WMfTV8u5UezvObMxh9OmchtqKYeGbzW2RzSHAa+mnAj83jLgOU8McCHaXUKmPML6UYZ6S0AiYWtiJiC3k0LqzTHqrYj7ZGppJbqlGBSmxbTVTZujjAzkwbZ6BcqCvLLHSWJKgUBWLyRDe6juvEgczZLJmc5HOGOLDZTijKLYbpoBwfusWGG32AsbQCbubs2bPHf+RGhPG3CINchs6ePftHf/RHcqXqt37rt/7mb/4GXxf5h3/4h8y1q9TttJzILS1uhLdUcIXKVnVTAyVtVkFbTFKk2zZ+pm1jEVyyciwcSBVrRYfqUkgyGc5qSgPAsqK4cUwYiPY2Eg0KNGVjhaoV8iPYFkp189SK5liZ57Es29TU1fn5BSzEhfVOLZ5gUSUWAvb+d/d07x7efe78uQMHDqQsRWXPW1Qf8Ln+5SIDT0WooRRrpYUryBfZfPxvRF0uuaGRKh5ysOXS5yKVcUNAb211fr3biPC6Kvlu+FLTvRzXJ3jQB7k/p0C1OByuuPgzaTk4ydUzo8A9TyRyZe8kGKK3wSQC0chMg1SIWVSVsL1dbDICSTD5ABFCDWEJQRPiWVY5PXUHewiW7lHOo7UlxNmqGAPT8AW26elpeNfT04M5Fh5NuXLlCq5JHT5yBJMtVYIrWGCNuXFIW1sDxXXXXQfgjjvu+MEPfpDMrnJ4VOQOAWAiGjr1bLuMUzsq2qT0MNjCwX7BSi4rRRXpIJbhBgN7yGHGOukGRgLxhMllsfYWLC6FRdu1aG10U6tg6QYgcQwWkBm8zjsM8UiSy6ZiktTX23tg3M+ThCBRq0gFsHDDwAC+n4Mv/LiFG2z4LKyiDK/imgSKROTqS2RXoQGLVWFhK61UlGvtUppIi5UcwVAPKdiK7NCaImXKLkCpKFJUJIfq/AaaXbWZc6vukxeJbSgKplwU9Qu2iXdOtLAIJojlfqIHAsWH7iNdki5reRONI8CpilRyIK8EqRyhNtry2UFfQmOlqZEl9Pk6PNZK8zj3KzJLCBL6tGgDjWBiuuU3kmyD7vFv/7YWgTjSJMNGW2QmNFkCJWs5l0TC5u1x6Qqzq76+vg998L8dOXIYj6o//Mi3JibO4S4KloQcP+g/Z8LfOiUzcj3BjOzee+/FpGzzDN2QZBid/IkngizyakMqE2YJW2JEblEZhUWL+UCRCIsXTsEAdmmKn+wmJ8uMd5QYYXiQQa67jc40/GZg0NMJtijze1wlWl1da+Gbg669RI6azjq87LhNDSWWxcLTAljozVEyO97AOE0PXY0Mj4wECc1AuIi1uLDgktz6aeF8geKA0CncEMiX5bug9y6fSnTl18VY38AxFiVvn2tTX1S8BUSdEyWUIi/LZSRbCUSujNa3rH2iTOTbvbKrUlubhVVOVoUSg6azVl/uoBNNpddaAbQbrWG5EC0YAD3Idxj6lUKdUdgL4Ai8aDEp1zChBCFp4N5pDVMYgMCgsVuuzCxS2HVvJWRhsKuurCjQqxwhk2JWjsWIHN3bqkSalS9klkA0Ko0AuWQJF4rSOrInFt+mAOgvb1N1eZVv4woiwMGkrhFvuFiDjVaXxR8esUUi5W0x084qYWqE7H/vPe+54YbrcX8Pj8p89CMf7u7uhh9YT1TeCxSLw6dysh5MTU194QtfwPl9tmrTMdIoyHYFoFJbKr8XGILW7VN9qqxEltqXTwMRDSjy+QhLw6zwGxrnt8GjRXlAdr6jaMgNaNCFNIa8HMSjTu7RJRErZpXDVqIxJrSpRVpiA+M6FgJTR8fkx2SQ5Zgb4XF165G/wGXYGoFjBw7gtjjmiz09vY1oc+srmJ7Ll4OsJIqi0CDZG8tRCbb1EotYCu3oGMRRLpILvMgBsdBkxVpeCydK21W0KsTZ6JoTz5rINdYnBDCdaJgT7ooEK6fENiXLOk5cItPy59PRwYao1FYqxL06TxThGE/kfosQos5Xpb9CGtMouwIpV0HZikl4k2KBgOCKBglAwmuLCiuQKzlHmslqqvVzLFHnU4CEJZKz9uQI99mV8GZtU16pkmKWbGdi5AAEH3PM5mHDhhEuJEUKejyvzRDsLL9xfQEbjBwfP4DZ1SuvnlxaXj5x/Hh/f9/0zAzwmGDhvqEYHR5yRwW2xBXMsbLIhKb1omhLksuKU3MUkNqkaFnKYLBBWQvMlkthOtxXlCU8SRrlWyo2ch2JL1Jg8O1vIGMDGQDrsYnG9Y75hXk8vYQzdMaaKikbdKHxgbNpiA/z6+vLK2fPnxseHsFDhakIZwB+rN0pVVLGmg6n3nwD3zsvWLhBGz3hyy/aGGQpXDJwhVBmDW2or1yFVVokSiUoYLkSWHKM7HQTraSeiomcpJhlyDEsy0MqM6KtLCYQwxwaQpRLAcVxpwUJXWMyOaya0eVy+p3KyQLWGIZVVDAjQ0MIsVMECkHgpNrQ+Wmy5cgzIzRzCmMiSk3NChdMdm8NEKWKEQvAkohNiixTmbIaIozysnA5oyQCw6+gApGEuCA0erB2LIZTQQeIAV4IIX18ASMA9Mc0XEUtoiY7CZ6XPXAFW2VhTxt+lSshS4qBIYaUPUaHbFG8ChT7FV8NyD9wIVTSZHoAUi3VxCqVCnCYrL6UQlm3A1DzTp0+866778LzV4cPH8JMaW5+nuyksIQwhwkWDi324azWLUeYi1o+V2irzZIRVlGQNc7CQV4Y2hzOSiaY4kf/saNY2mrC2s0/3Eovw/rea+tz4DJxOeSto6CIvchxwNoQw3hvAu/fta60RU4xgsy9itOEqauHxg92dIXsVak4cOLaBB87rd1anwtQG2J2deb0aTyiiGbKcGYQeWIklhzTMBBnCUWWlWhhoRcMmSXijBRBGkQDMCu8AYOtjpmpRMMqZQ3DltTDEgWf9oVkIgFMJf6wIqLAE6E8bLmOCaExF49rpMrhGaSiAlTwG1uosgkrAgXQvVWhcrIA8Wc2VuHEihzFWFqVJshcGlT58YgehyQa+k+4hL28KCrsXtQJJuF1Cjw1KJVAgSJGz+R+RUvClfBybbbXJZKoqNLYJDnAE97IrySHeEJgIda6KNIkvioNR02iYgOyg7nRT0Y6M4EVuZF00e1mJ67Q0k+k1EgQfG5tLlInBJGZIGU3aDzMYyPiPLwxpEUwq08tVIlZGq3abAD3OjBZwl3OH/3oR/hMyIkTx8+enUCwjhw+/Nrrr8Mw+/BMOEThMfjkm4NlhiKyJcEtqSoTWl6XK5RTgEwBoHCJnCQlIpnaiiKoRAqqQCxXOyIRuTyNKXLZmkdKGMBXXWNDSsTC0CCrmjeriEPkxgqKaBmPEQ4LKwwODhw8cpQexsr7lg5OEpDI6AEiCToqKCBLsLY7XifEtwuThRskGdRWUAos8u3e42l25WFbn8INyURIIiopqtBCaZahkEjFMJBLZpAiEl2g5DCf9LRYAXUfwohMySkINSqEnodRN5OIhlTrlBXtLGOUwglxDcszrK5ghRqrTmkCoBCbarUEWGmAMuIUnQUCr4VYBYXM63LClJ+JfSSo4A/3RFEYa5YmIpmOpfhdLNurTrFErThpNVeUH2eoF5r5Vd5MTQYRDI2C6WLCglSalLRIsix7IluM5L24gHobNBfYmAuUhsaln2hE+kJYiIZUemusNMG5Ey7SqjqMbMaxSEKqH2K1MjQFiBARDImmSCaoZP8cocgOxuWXIwsscSI+ossrCL2VACorJGGK+j7XuQHE02UJfE37f3HcHxoaK9JSwwAAIABJREFUujp1FXcGH3r44YcefgQh7evt+/mPfRRPvs/MzuLhd9UaJliKEgAWn+ANT7o8/fTTuOkYERQFA/gkbBFbUcHyqAjRYauy7FqrgKEJfSm0XpHh8BebYd5hYEXTKpJVdy4WiMtXeKK8mBvUVVrNCogV2JoYnp+bw7cEDoyPd/OFK9wrxEkErfPu51JCjkZcwRUsw2thQWuGoWjN7e7pwVom+JAOlnpXAZbdwkqQBUBmxWYJBBOkBaiA1oqzsCFvKINohQgSlFqlKZBLpkgDyHEEIx0BXnI0ljuZ9nIW+GlzfU241BgAzjZFCbkIEpj3wdqEkmsDLjpGKn9vfWluvccfPtlkx6KcCoBJYWecyomBXLJgqPrmuaw05fWA/81weW4m4LijBUgLIfz/hMgXy39FpUSDmyw7HmYxITjFwmFexGgdt1xigGCKYEsvsI1wttZKY5mRJUX0jHcmUECcxcor6euL1ABkhTv5xMiUkevdkUNSiK7Hg0EPP4KjoBE2I8ogWJr477DElWVh0RavJAoYqSblWLZzXtDCoBFxbKmYyKZItBSU3hIqMoeBUWoIShotIZYGiKRZf4sktorfPzo6Nz+HN9BJAF9cX1hc+Po3voH+OH5w3NpWz21BrN7+uc99Dgebb3/72+fPn//MZz7j3mNXg4qCUYR3alCd+6dy2V5XEkpTxYlMoSz4I+W+iph1M6DiEsCo2RIwNwwlSDHKZtCWmBkrqS0uLPb3DxQ0IoXfV8V8paUSp6UKbXpu4uz8/PyRI0dkdiXyaGrF06xc8SWhEkOFy6ngAuD+gQE4iLOTXJn5SBER79G7XQeP8VH6qwWwVf7yFfigiksisIgSeOu5hZUFEnRTaQrYKg9zr/Jv08Xv1ME4sp3ftQM5GiT81fGcE79O5wCpQs/DEUj02T1x+6hxH/fac4hdfMGe66FyCoHQkJlSMdCxvBgWwRKlYonUA87dFK8ChSxI5rIlKxGrZLm6FFlEppLdSEahI0NoU+YCQMKbS+abwKVvgYAE7TTmCqSciMmTYlzZdCnEgfOkWf4Cm0mM2EkBwWa8SFlcA7jMp7eO3Cty/JacZh2LdMlGAp38AoM9AUmT3oU9C2QM71i01172a4zPVccehbTRBmIjnSU2As4LdkEcifcargQgUWBidt5boy2erQxkUoWyWi9toC0hcszQI32BuoP+xSaSLPunkqsAuE9y9Oix/oF+iEBLCAuQWCqIj49BBl/BCma7io9//ONf//rXcbkCdxPxRZGvfOUrcEDuOwbWCMqIiGqlkNKoZahAGCThGCb6hBoGIMoJMqukAkmWqWkMW1vA1dDEAr4ctAuJqWmjcJLanDjcRLZ3l41ZKdic3JTblSVtr05ewYuvWHMLTwhmCbG8O3TR/fD4OhYom7aBGbDDeQVOKma7ZgcHB7MaG2PEblWfFC2/0ihga7OwkGWzIqG00iychoQs0z5IMpyp4BEIKIG533EHJLJIJiFo066J4UZhqnBCCUzhRJAWGXAlsCueZaQ7qbVaEgplV6Cjp7awsLY7oZMij5bW/VwqEaUCFUiIi/AJWfuK0lCQx+3q1EfNIbrsoaqi9tKYOBXqb8NWIwtJMXEoV0VL2kvWgvZyFh6STMy5KVz0cg9PoQ9qTCh+Tgv/+kti5ZoplgkFyc5VGgeRuVLemCS3xNJzawipAhWwSMAN2CmLyXgXFklaHxZSEKdOLM3rDAGhWHCsxVth1p4Q6Fiy7MDgiA1SwO6u7qNHjuL7gQuLi5j49uIeYV9/NtQ5twixqAOWBQIjgM9//vPf/OY3n3rqqV/+5V/GBOtrX/uaVwS9qUlsPNWjwiWUgRNqMkX+sUT1U9gZt6N39hWkJgylnuPJLexx0a9SRtjqhY3yG01k6+TkFawaBWR75YpASRgreXlpCROdPXtGDh8+YixJQe6CvGSq71L59onohjFna8bGxvD+LdY10bdtI63eVurRUmHtLoIjEQWFauYxs1WTI01GEx7jxFzQMEAqwCtI6YRSLOqCVhEx5ygLKIoIVBORaw5Ln4UbClTR5ZRWsrIUAetYxn2twBEW1JS0Ii1bgC+OiRnpXXPAHO0grZjWVEyUuMzCVqzYHh54gU2das4INIUeGd0zrG7g4PaQlpKm0QZqUVXWMJMH2cqNY9Tg1kQpOwKimwmFs17JlCY3rSyZRlyajatImo0H0+DqIEn1vLae0NroZGHaKrjigHfqMVNCs+LaIqZcOGKojcye9y3Cj3zkI7/2a7/22GOPYQ13HGnuu+++5557Di+OYYKFTVIEtrF5EOKSD5Y5L1iDtUXhxMZgvTVqJ8BqcZExaJQimsTJRILlsnBCVlZska1MZLE3nouU4pYzpukek/8r2YA6tbJiPJQevEgtrBQPGfROX74ej+VqXMfC4lgYxmR9LKorYgO+yKAYP3Zg7NSbb2JuV+/0p49epwr3vVIrSoFYfr6JzuyUNMj1vY7d8Jd9HTkz09hNAO3CsyBOLslxoMEEbFavYgQQLkUSZ7wRgYYFxiYDliE2Av3xxtQqqHYqoFVFQIl5wlKTJUZz+cF87WyVYhKagJOHWwguVuLdcCi2RsuGzWwgoIEX0ilBxMnD6SfdkPfAaxMoIAqFkbhAacgamPPWq9Yho6Jr2QbhqAfuJNChwkBCY1SjOahFpO2IkITSLIWb0HASODszc3biLE2HmB63WS5fubR3L65Khe/zgrGLBVLr6vbP//zPr7322oULFx566CHMzp544gk84Y7PP+Mj0DK7AqXc7GQW66uFqTL1mhm2f5eaWWyRBqY6S3XKHLUbYo7lSXLEuA2UIE5eMpWQFBmaxWcx5VZMT2NJkSk8Zt7V7S+vkivlTB2YWskciw7pps+kKSiicgVaFdyrDh0+fPr0qSNHj0YCcw1xAq2IDJ2rzNVNc0pm8LU4ryIvBMkXyYmd/wfv5AzFzaicvlCrBohiL9mhtaiAkx/3WuHVKmFWpJNV9MO2yCwwy2IwOTYXiSzEW3FC5GOXw1Jf7xR6oYHLCKUEQuUoYPltsCw+gRMy0QKBCih9Qqn4BMgyKoFWCSD4XOP1OE+UdFQgg3Jz24pSRWq/Yn5aAO6cBe4jVGHA4bDLzuyLwxQFnw7u4egeVRVL+CmqcSMkz3mybnO8s+gGGOoFgdPFPGD4cTp0krg/gAyfxDlz9gzaC89d4bGZ48eOnXz99c565+VLl7q6OrFAI+kF13pHF6j5mdNgCZh/+MMf3nTTTS+99NJ3v/tdVBw7dgyf9cWUKxAxezDNVhi4IYGhbR+Y1SoBEjy73fCA7azJimrdzC2W1VgdIgEi2cMtBXJdBGUnX8tpLDeXH8gsZ6wSs/lLFy/uHh7GhatIhrVSKmJGMV3nWEhovxRWRqnYkLUk0ucK6DsHxg/iC1ON1/0qEkhDpm4CYrbEt6fEBdoTs+yCuaaTE38oqjQFEt0iF7UKCGVCpkUFigQqPgXACR3YsiI8KdfwDqOUzAd9VfSrchSIqvMKDSnVKqUUoN6xvlrj13+C5USL/0qZp5BwItOSAVakAEoGQGqzeJLFm1Z5RPSrwhVrVQtSJSgg+CyvCiFK/rgnTA8Zim7jKRTwCPrNqra1CiuZGKBFJbCA0FhMLixCcquAhLXlBEWMig9BUJQBIF9ikxeWPJzhbQJ0OpxANimExzROEyKvSdJ40hNcCOkZcE1AIZaGqZHMbNjRLtiwmg+eu4KgA6Oj1x2/bv++/bjRgcfbH3/iCcyxhoZ2416fjAuFn8rB7cRPfepT+IohFnXA3jx95exrX2YZh5sFxQjpXkUGJZEtImtKdY6QHFRTIoW4oZTEm6wKDYYAICiSKXitVSArUzDLK+6wFAiKeBpaKSLAzpSY01+5fBlfqsFFI5fTiYREUUGR5ljr6/gi1PLaalfdXwAL5gISTo4NqUgERaQo4BksvD+bLNwAPPpYTCrm2qs1giEq30u9LlEqJY+LpWkJ1UGOx2YxvoZ+VaIDtKxECT+KwiaAwIzL0S143WeFa5UCok4uEcmhMDvTUjkKKHsRIJSJL7nEKlOA/trS4lr+6wtKWS5WyaBOYQWsDblIJVAtCmiVAMqeBUBQxJUIARk2laC1DuO7AMgoqwnrUUrKgEoQgUSXZ4OS5dbGIiOr1B0LiBaViaJotxihSSQLpZDZ3irC7d6x+16alaMYUa3FTQXYHO8lHDADDmHzm2hTLdoq4Rt0TZo2a6yPZbamKQzaBY9eLSzwou0dHVj0evcQPZeMORaOj3tGRiYnr6J2YIBHGNwiLJL+LG+4/IXbgnpn0BIXOWJpNgpXDEo5WXltVRODFOR6cs2voowgoiKDJ2sq1KpFAS+m8DeVX8Dp0AW1kXRLY6VbmBmWlpcuX7qMb+9ggatoiLMSItEooA6CZLO3z2h+Q89j4dmjlWVcnPU02V+uol1qkB3IpBZLlixh/nfl8sjIHndjJRyFVIUAMnMQmVqV1a6YVLtWGGYCYzpTqQx5ALh0E1g4Za8yVZwCypXFaBUAlaDCFWPJVAgDtCP6ssezHLeIlYIKcXX+pwjv63N++2oLcx3dORWCUisLKdpWocYr0JRo5aoQ9saCSRof2yDN9QJFxdyqlzhMGsRUVLKUKObaqVyWWCgtpoiM8DL5gPF+FqKKwrOy7BoEiky7V8kNAeES4djLJkhfav1XBeaIiEZGbh7vKWnf4IwkR9+1jGpXexTHABMsCf8tt9yMVULxuTY8zbJ799Di0tJTTz2Na1f4eI70IOwLJ1giv2Rt99YdKeLUblHsm6upTtlQVERQZBmIrEoLB/4S5kBkIEjBBi4Rly/U0/Cvo1e4HEgFFttXXBM0IFdwv9mU/VgFVKopUBFkpRsYX8TEwqG4UIq1Q8zpmsoCoMxFsJCoUHdlhB91X8elLEy2mIJ27pjhyizQqbIw0fuhmEAhxycP8T7j3BwWbtjlBJT9gMuJVqpgh6IIKEBHNIFOhbLFDi9wriCLtLCIF4zKTHQqPgv8/+y9aa9mWXYWeG/MGVNGZMxDZpWr7bLLQFXjAhpXtxqLBtpgG/kD/6Atg/jAV2TERyQkfkBLLdEIGiFEI7ql/tIWooTbYLtsN2WX7XKjMpBVmRlTRkRmRmYMmRH3RvSz1trr2WtPZ3jvjaxywcnIc9Zew/OsvfY++5z7DuelJzFbgT5dQfzlLar0gh/DK+eRvnKLzYlq0O3Y9vOPnk/8qvcGtMR2YQlGm6tpHIPHNARjzGxpMYkCocTvw5avYcHHhqm6xEdUsifAaCtlepbqulW5SdZ+P2GuJEoCzlh1YJJEoFBzLGsLtW4Rx+SogYt5VsoUHA4ENF30j7JZh5jsp/GGpU1AwqIXmP+LuG8VwC2UjQAK/xN/5r8/efKEfdn8D/7gP+BTLjDhQmkO2OcbLLxYhavd/mTByYI5QnkWGp7RP8pV7HLMKjA1LX44gXtBedoWn4srXWPKs+jshAlslpBzrXHY2DLGrDoQIDBX8CzJPJrBlJUVsKCZH4shAt4QxK0VptvFi5fkvWrZzAECcSlEZSVLYFh70wUbSnzKCYZtvPQqP+grSeCfpmOwujcRGNiibJqgRiC+Tvvundv63AacIwJoGU/ECV2AmhC7nq3SSLGPsFGeoBiZRuHUt8IIaq1ebocVve1p0UPDhZONoDURqJrKk9nqYJtrvT+0jV+lOFgEVhkYSg9/ArammWgbnecqZ5XJrilDk1GV3ZzMXU0xc6ilGUCDGAx21rii44NhsrMssSdU60XAD6ElJrAntngG6+mMDttK4wxIQDkTQS6IKqzjgRxcKVNlNXmQQHRsXUrQ1p410ROYaNo+e6gU3SpT26ycK8CcuV3MNV5qqfW02GBp4ZOmC0tv6wib/0VABXCndPToUVzFvvWtPzhy+MhXvvKnocRLUb/3e99E7XFFg5WFyjdY8Kh/D4deXaEa/5FPO4ATgdEU5S74UMnIirsKoJvoi0bpaFMZOheGsBEkyiXe4tY+QAQuy9r6MEKO+igrDJ7AiU/jnTxpr+LA7PVI6wmcqNRg2RmrSLjb+eD99/GeoLxqdemy31opdLsi+TKhHAYCMG1xAQ6DpktJumAjDWwy0+W3dOQLhsbRPG7B1Gmf785UkWKCjJy/89Z38HA5ewRadCiAvAEHz9tVg2MXarlygCrqhQlMILQmHQMtfTfFNmBOIzDVFbnNW7kyYetQsWTX0vAC91baA0FwJz+6q7ZrpRqTckxvtwb5RLAxKLGqVm6OYVNmcJUraG7lUyCjZJ34mXOwpmAe/KyxM05qYmnEQLtSJxBxVKNHEopCtIgrUxYJ5yb++IE2ncgJVg/yBr9ZZI//+1uRW+Nifwem2zS46jj3wQqtZclZ0eAmRe6MKhp/w5S9pTnC6egFukgp+FT6qmmOcZwAhTpnQLM5IPXEaTUJ00OqI/0rPZowfX9v586fv3njBvr4e9/85t17965du/rOjXfevXMXg4fP7OIOjN3PElXrBKslR6kNrkxVs/Wf0iB4YljbyExmEoNj1ia3wdQQRemnvgzFkEUCcRd5B6e2G7E/wbEQjW4TUu23PuL8nbffOXnylJ9BEYsyBSOXJn7lBg8pxQ0Pvr/62rHX7PzTc996whFoupEWBcfkWjaxZHqfEWP3WHh8A+6xpKkmx3I/P+KaMO0AR9xd3bx54xoefMpMPNyOQIj4US4dP6VWSrNKqyVnzym0Pq7JnZqF9ZDxWetgfkXOl17GdoUUV2Xg2eOyUg0QNdv4xTjcaTtfF3yYruNLlFILLGTvhYiUXUjHKlWBaDa48k4TRkco/KrMZ2EJwuQthE1HzxdgC2GgO/gxO8oVPGnhrWK69xKt3UgJTIKSg75inRFyuSQibE16webj49w4BhbS2Vg0DMk74iWZrrwvCYlnf7ol1TjVFJ5DVdIEOHM4M8UWoK2yQVGhpKaR92y4wcST8GQvmz9xIE1cG4EiP2sEFaFNx2Ymgwq2aGhAsrNJFlJrm3bEbIzffQV+5OPChQu4tcIZcPvObTyV2nI6dfIUnoQV8zvkkz8qt/CDvtWPD+L1rRt6y1b4oREGpDZt0p6Fm3XgkHfuhBhMYXUPZOmO0eNOwmvhbKowbHJZeDc/8rdCBTVqpsQqjol0E9PZ117DHQbe2os36ZkkrbeyyALrk08+/vDBh/hI4LFXXsHLP1Y3XzesiAbLbqyYTcC3dLG3LaPIQqV/JeNtTdzW4dNj8l6hv5Dl/u0RCIZJE5smAOzCxUu3b98ePbgh5kCQzYX9grOOIY8RIPUU+kmXZv0YlTgmNQ42GqVbdmA5++jiaPPCrnDFiUZkCsQlrPMWgcqVNRbeTYA4sPJGxzElgrILBawru9gp1u8/xLfrv5f7JwO0Xlg3IwVlE9jsp+taxRHI9DahvQQV9toRO/Fl8LbxjESP9dFkOwuWZG73JOCQHfYMC9zCP7fUP3oWftZQb12GtFslcnKpCKZhM325fgi84BW3UE4nDHBo/hKwBMQrwlJbCby/dy7YhU7ivWIJR8+sZFAvhOAhmQpoA5ccVSN6a0OyNVv1onXApPC2N/2IwIjIcLdL540+axrw2qEPmgGSVIc1DntX4IO5uK7h5wQ/wZPcXzw/evQYbpnaX1fTV7CaOnzpS19666237B1DfIALlxM8B6t/g7VJpg3fGpAlweqzxDERLxy2Is0V8BpnY44oCgVcaBCZQjAuFaVLFt/rXEbOUvd8UDo5ETTrF8ePHz929Oj9+/cxN/CL4kcOH1YegMgRtzH4hurDjx7CHacK3orGbT5+QzByTOevLOJiiObcDadD36p/uJlJvleIt8arz7x7byXvkFOULY0qh6NHjuCvD/zJcunSpRC3QAR0RTYRtNBT3eoFvAtrkyEvvl2nUplwwYHNsq/S4noIB7qpe39n1a1AYqyD2H2WLewShP8t1uQKnaZKXzWF9/DW8x3MzX4diKMCWxVMv6neKeGJyFixPlCpnYAqHev6LA90HP51ZGMt1bJCpa7JARqbSHFveofBMd9uBWUphvT6RTMH3QffEqRtuathwm55dhzF071bc6WJju3sjc7RE7LO51EOBf8YVuaqQ1lI0sQeBN4OXQc83W9pHMYLtwgpWUGVzXslAhuulDEWObtli0sepLPBG2ZMrfZk0AuH4NYgg7ZdaMxo1yhgRiVNjuhHB/SFa9zOllrCE6zw2Vx8xxwXPvwSYfElMPftv0WIVx1wO4XvecHtp37qp/BrOV/96lc9ZMmx7cYoqhj75WEjOOoLXGoHQoe3o9LgClenmcwHCpEiglCmED0Xyol9AcQCFzlLJG2dmThV5LxFMwieFdTphMTjRg8duoh7C/k1m7t4XVPOzRcvdvUXA/CkNcw53HmE81MgLGtWyARlcgI/gsicu1b3SsduFy38wAG8aLV74GCa3vI6Fl7Dwp9sviIwlkIFPtFEN3Fq4G8XvNA7lUoLEbvXWqPGPKEp8isa4q4K71OMH8jJlTW2oeiT+epJUgpd8JGVFIgyXvNkDtAzloJSsGP5itKlLpVDZwE/fuDjRy+Oe9fKwJlW7MjAlQkP7N9dtZ3tnoPVP45CPsdlRGwoNupROv0DX7UgeA563IjC51KBlBsbYmaAsVRO0bGfWpY7jz1TX4LD6t5prMzf9H81HGhGDcYNT9EUV8yD0qS6ZMiySH4RSed4mFcRuoxpWz7t3CLXJ+84jpZToIj+dmuFyKg0oFYDvd+HOb5zKo+8QGAO2rEOJm6q7t67i58dgYCC4c1YfMf8/Pnz1c/X9m+wcHeFzzIjEu8E4Vryd/7O3/nxH/9xT4DHKjOrRdzTMwsxRl2jIruNJKswY4ys60yfrlWU9GhRoDEl9tFTW8WOIBQK89rGHMqcnXy6uHnH8NcJNjkt6/7o5Pfpx/NWhRmq7e0LFy+aj9M06J6NuRGQgtuL47S1cO01LBw3VDtPd/B5Zm7tPVZnAlh5ENO5ySSSCK+eOXP33XcfPuJH/gvrVAP5xUGQ2g16bOrh7UKXhEMBK2koMCRBh3NgkAMjBK3rQ/DoEOUYNZIzTV/SEskqJgARpOc+qqf6HtvaebD1ShMWE26MSTHHO4r7FPX5rNdpg4ytY9hjK6tn3dljp3hZ7XWyvLLK8HkSPe+1uj1mvpZuX/3XndSLqRVWT5NecbT6wOrZCgoZN44d4ACLzXOmpYgBasK1wywJo0ennuoFJjjIp2ShGlIwCUG3tHNiyggA39RZAO0WCmqGmxD3HpSOuDV655238XaNJrSNd3Xwza1Hjx7e+Pjj119/3X7y2c6N/g3W3/gbf+OLX/wiwPCbOb/wC79QoWuzrWDuNhPtBWZdhLDKxX32C1IMgbpqBkcVYQYiNvOjbIJaspVN+kdBrTLVZigjSivvKRhwaa5br6xYQmL9zOCQ9DRwTb7kiMa1Ejm9VQWrAtlshWnYl2hlKuCAHJv4OuFBvI7l7xVGE2UKUsCZNHF/eef2bbwNqqdTO6VYvAYnIke5cRRFPw+CU7Bgg4MSAqEpVAQjfeXWIkcHglCANcrReSTnXkxE2souy5a8ZzLhmFmIS+HI9sfPnp9ugkVBn8aaASnRmZqIUFmrZgxp5QlnvdbBbgmmP7KBgPXWtPpdDrV6fcw1BSiZyS1vpdE0Etc4JK306jwz6mn49LInuJ5hxfufRXMvfU/XoN6YKOw+F5ZwCi4zUEZQdrDQuIdR63VE4ExfWatmmp999lBkzdlBg95YOrcrnNAVg+m3tu6/dx+PvMLbNbidwle4zp498/jRY9xj/ftvfQufHsFPvQFT/6UnuVd59xOOWgSsjonxupxFBJPjvnSfayGyW5SWA0hROQdc2eem1GbQNgHslpcvnkRm655ODdkpS0GVG1lygGqSQB1LhWYMic7UU3DIdIzOlWk/myN642Bn0JxISEHwdUK9x3r+HE97H24Vn4EaDWI4QNv45P5bb33n+vXX8TkzB2MGFYjbiyOdo9aIEN61mifBKUSErjI6zMsDiIF6gKcTGrYUNQ5OFuv5ACypZTVUd5wzPBljYGRp5YNbB/WXIDskdB7V3VjgRgEo0ZkIFIyGzRjYZhBWgUTh4QlAL2gEEyHVosXqaRhpaWh40ZcYpM4pIvYx+lAmMjSVM7tsehsy88+XveKaR9RaqJCjuWKxNLCPiVEZAzeSJxLZCK8ImgNfVqsCcv8afsalo46g7KTOMjureveI5/rXixnpAp3c9nnTjwxblBi9IRAhCQ6uTXT4wYMPsLj98Oc///jJE7wniJ/Hwe8140MjIHry8RM8Igv3XnYm4BUsBCF+uH3uc5/DZ+PxPPjKw2IsAeevXKaaKfMpl4FtFDnSD2D2rF7EZ1PQR8xrJrPBdS7Jz+8YZH+a1nR1u+yPM/WHlrEUGN1qaGoFOG8w9C1OntDRFqGjHH0gW8bmUGRfNBiU3iuUZze091hAsc0EQ4h7tXKAtrevv/7GrVs3r171n1BMZ1Of2sF5hFskMj1jKdB/T8I0nNVvIUHlzD5Q8J4IZ+U8QQHvCWeCJ8G+16Y3XNNdA6M5IPDF1u5EAmJSV6PwVoogCwU6wD8qU0B70BNf0tCLEnK3P6q030CQS1R7z7QEfJbdemRudF6CvLCPEcq4LJBcFFgV6atuukiigt6mRymYN8FhJOaEEDHoFpVRNnC4dVnMc4/vYkS6njybYy9onQ6d2x8WHbE0bBhE+/1jycV03fHcH+amw12uxmtTRZH0s2dP8SF1dNEmyft6X4UvBeJbhDh58W11PFB0CzdYGtR/i/Af/+N/bI9pwPfF8JIXPon17W9/u0oucka5clvX7AKtnQ9dkHV5mHcL5KnIkgDZmtjrxhYGO91C2UTjhdwB52aD+yXgeHCytASMPKmnEEH2UZ7Br8xWooreumT76D+Sq3BrJucYA0NskkAeiyWvY+GpclE8AAAgAElEQVSN9Poei/4UumRZKQ9uuHABD53Dy8JZmyfGLM6UQ9dmJbTOWA/ZsZBAEs251bcacHWdCU4BsZYY/ZknhYhfOUdTlIlvAtKpbjUIngU9j8Q/vJoVMSsZgfhGayQiVPSMSjjHZnSLsvnINSZr9S08VeharN2x9cAvQPD1Pk6RJPBxJpbkdKpdgq4y96CU6Gx9ZNO82KRQRk+1vCo6NKiYQMjQdnsU8buZjJhaZ8OPeoJTaNG6pgjShpDIYs1ZOqmubLaBL0fT7cFeqWQQw3VNr5DomXV99uZ5r+z7GZ9SnoBMBfzm7//+Zz/7mT/55S/D9T+9+SaaOpOL8sov4hYKhf36178+gv+BH/gBfH1sZF2qbyknIqed58uxAtpXSIBisz8v/S0htHDyH0i/HxpK6fnZMe1d2SPv2pxMpuREn7qxPZKXr5tNxaoYE+mGmLJrSrFTNnUxJrhRkFMa46XDZCgEEQH3WPieYe8eK1H2Dhk8DtGRI0fxEJN379yRL1fKVhCx0QPMOkBHT2OCOVKaN9wq5xiYEVUyU+UffYhvAkyVM8EpMLzV0DQSSNc6EM0FP7aupUb87E5Lrs3aUoeqI+KFX7Tw1x9aa4maWjEJXxwESKZW/ngsvOz+CQ+Bkjs4BZd7J/lPNwpdFr+pKI1WLNVZtnHvwGI2jphqBOqDRw/IyhUIrZCVU2qmv9z7xnVa6xFjpAt+kZYq4r9wAtONwqjLdKBQEVlPp+vG2FVCUUOPrIiqtKumB3WOERzmGFiZOsGfrsrHLeWo506qups+3YTIhvMBm08zqrMQy5q1WcJnrfBEBryIhTcHf/QLX/ilX/plfGP9B37gs3/iyz925867b7/9Dr5ojz/eEYBv2PdfwcpgpQRovLJ18+bNUt205lJsAlyRhsCbS47zXPBIa6NIgmlLIJZC+3qdagWHy7O/5mTgNhgKs3ZyKCM4BWK6c1yCjXNJ11+iz8Ik5ro0l+EsjRFIASfrRxy6TZ1BltWuPsthzT2WgDuTHxULjwfDl20/fPDAXved7jVrRgH+ljdBWyFi0hqVXdkKJ+DFvWb2JVQlWGD2m5RiR0aBhk+WKbzWyQhijP/VEy8ydm7Kqc7zOIZsbb2y/fQTfIVQ8Uni7uKKWNl0fZCLu95CAVbXZLvWJ2jj4jmrA+hkQSvnPJncPjoKM1KnPwXHMEVQj5AKvQFqF3IuyhTcFLRAnsi88HOQyh9NbPCk4I44IhnBiIUKVhPFqERWFnFveRW8YFbGpFHZ0QqCFqkwDxrWlWnACrnIbQAb1eZvRJZ+BIwyougGuTJFzJFs4SPr/up1WqccdUBz7mHG7ysnGLpF6Uyj1bynT7/6/nvvPXn85Gtf+3W8iIWnQj7b2Tkmj2t48YpuhohnN8gNlmWC9wFx/zRL9c1vflN8LHXsR92IQLmY5aSIPiZ3K9K6ucYWPm9ZMr70Gilsiik7rWxqGRFrbc0M1JFQu2YqSOcR6vdrRRQLw2VkmoT+BUrTWOjWxJWKUSpAx6Zd6s/OEmbSZ8QBCOsE9hSMtUKnkmm1Dq0m8crbgM93D6ZHYRkRnClIoH0ey57z3gL1NOnrWq0Jz8TCK7sfffTRyVOnrH7wUUFf2wgBrAsFM1bNENEXrSjTscS0qVt0vo+atAy0NgOTUJqtJVdNzvVJ8GQkaHSG0vTYYzPoROBNs5Q5qE4j9KSWsxXBpc/x7UcPnx+DCRS8f5KYF/JZKPVHnWTTUAk2CIUssKyzEju9aZAuU2mlEPcCSRWqyel2KzNNRCvrVoJoF9RJHXKTgZXgSU711CjIGBE8vO0svDJ7NzbiiLO8KIhNy5gCEkKqWxUQOJlG6dJt5WESMnUpw8uW3ybCkQaLCui0BF0tIohuJlTNOsDbdIOil6/7udXaFjXtnyOXSU2/p8JkQHOP5a8aG1qbFmqdCl9qi9VZGlP4SWLcIEva0Agunnf18ZMn+CLh3bv33nvvPWjgjA33UOVnRfRbhJbJBj/2LKSWwfRwJSemx6yHAnItbLGV+gm74NqymJyNyE4+khZACxupjpaxIaUluABIHHllDNaF/GQKoVPiItiuE5kgUK6oGEihcsjNyqNCJAcEbJUzmtG/smYOl6YdCCWCuULCN/vwacRD6et9RKCQsP0z7+3nsZzcj8DEhniZnMpTYeHDWHfuyIMb8NIxTZgbzM+RZo7mzygKVRgp4LBo4zStEDGzrXAGRNwASh2FYExiLv2EEylMkGKm09hRHLgFMY3k6j7NkeuGCXiJHi74OxJN9P7IgRcfbB1p75/Ex0A9qwa4VqTO1upyXrs1O48zp68IdCuq48mxAiLQFWE2kB4fLQLqG/UFuFuro/1VaZ7GHxkNioBNrHZkZFZvMQouGGxL3pEFBtXmnfingMoxobSHlLwb0ASc7V23FKrrX+G7j3auw0U7hNTlqGplw2/1riFIdKSSgrsXpKPc6RyFiG96gLf4MQQyoro+okfdWXqMq4xscpcQmirEfW1yOrWo6YYvpZE6AeX111+/d/fuhx8+2N3F+2Dy4gseNIofgR48aLTX+1OnTuGa8e677z5+/NjeU6zoc9974ZWzNOXVJdSu2aJOi5rqSoIav243iLMKoyRB5U98CpXDfDPNEU6WQQQJKAwcg9pcI4EZoacyuCeRBBRan6yZwLLSwdUEg6tA2aSQoVUa6Ss39keEQQzVFPxkZqYVatm0eyxchPGcd0DEXkVHoqdTLtpcxq804usk169fjz+bwED3ykd2L6vkLJGNURQKrfrYThy6QGZmfyjYi7zE5Y0XNQE8iRP40dkooCFXtEImhQtpUJfhp9UDzn4vYXGJTTFtdNI+8IHo4PaznfRgmiotbwoC/se/BOkGKPgnrPlki0jJGjpY2usW/WuDtsll+aCJjdNflLpRYJuaafwUbt5S1BRHigTopKYnOKwr8NUZIQLiVS3CBTcyIyF5UzaqmI8L+Rz0K0rWJJ+SKybPNAqlQ9sxmpAMtol86KBpS/70Jw4Fw097Rcaubw2u5lBO+25UB8krkeFM4+1OiJsstZjghLMHdY6MilDwox6ymLTItiChKbcLVlvz9DEW00Yb0VK0D5wDrwDF15vwodtz5849ffYUz3LH39V4D7CN1x97jr1UF9yF/cRP/MTDhw//2l/7a//kn/wTYH3jG9+Y+uiVDHzodRAzpbDgfz0k2Y3S3ONmlACCUMAVjUyy+nUFhpKAAk1RIC+FaF0kIzJ2CzERizKFymGKI8bQL5KZTFMUGEshWpfLRf0GWFRTWI6fPWPHoG2x0nuFeBipPqsxR66UcKLi0XP4Pexr165DLnoYoTwDP0ZbkIfxpQ9aALLFt0WkhgLcTV6Cb1TqL5cP5xJ1ADSvrGlNyWNwMP+0jKBRrITSlpxxFD8R0k2hvq/XS6Sisf4eeHFwfGcABjVKpNdFr5cJKpVMEuhsZo3+HadahU5af2pDxZWa8PLE6oCmzXxgYXg/Pa0rAfo+NLswgWkIEYfOGDbRh5QcLx5DQqM57e7KIjWEIDvZY+NUsYbq4o5/UkC5oKSev4wXZCWNcLnC6hnyL7x6DZ1OuqutxlJxeeLdiBqB7cLbSgobtKlcPEpE4awvv08MlwOQaraaxhq4M6cxk1+EUEogo/7YqAxG8idB3Ng9lcVgAT6appH9ptsnn3z84IMHH3/y8fPdXfwWIT6YNfix54bgz/7ZP/urv/qreETpt771Leyx/aW/9JfwyAY8Qct8tada3VDR3OFUJNYKQcGvoespzJ9RELBFwCqIZZvwKUJaP5IVft7wuZ2TaBHcd/HRIKxzCGoRqaGwCLv1ZgFJ1gIxikLrM61hCQthADe+/xiQELSyUw8BW0tHDYUKAU3cY8n3CnGPxanUOqmGdNkecA8clL9s8NfItevXgjr5VgtmRuhKfj2SLi3om9B1kutCq7KTn5evh5MLkwOzNKQJfbaFT9LUewv2KbEJgZLgXb0SuGyRaqCmvRBAuYtKWg55sUo+BmUvnDhslUSB1muYvxJYN3pOqjPzWvzO1K4YymEjvg0Bm1VQbCafEic6FLKVy1QeYggjrpG+gGXDFl29JzBdFc6mChxTTjNqiNgIPtZ2GSZgmLQMSWjmU/nTaZ3gRWvPW2NhPutgB97aKVRTymr5wxEUXoNOWDDZOWsnaPIMVtO4giMg6qoT5pM8UYCwsRxBl0T4S/0dCwT4THnuBbyc2/oD56TwowFNUETSMq9oSfIHH7x/9108TkF6Cqpnzx4+/OjhqdOnq5/iPQS7fFLBk0M0vgmF167wAa6/+3f/7uXLl6H523/7b//O7/zOF77whd/+7d82eMne8i6zT+SdQyAQK7tJoYoxf0aJwEblOttsOVrNND6KlPo7S9Y6zOY969BiSjHQCWxdoQ0gB4XWp9V060SlCCUcW63Qgs8PKHuIYGMld4RbRBYDBjK+V4gPxh/Al0v5nHdCh5BaZ1kGB7wA/Nq51/DeOn5rPahFlHrFPsTYGtf9DaJnNUuxn3YjNYVi/oRzbAYnXlkjvyw3uokADLag5Bkka4dOHJJQiFjrZOObmlOgxCfyjBnYmmE5f+dO81w1za1qer5kcMXi4wAwxZu18qmag0KW3VyQjw2dfXbNZm03KNK5rBecrndfmfy7vbOIyTuAHihHgNNRkiuK0NAV1sq5z9HTTupYGQjYhNGLloVJhGVGm8adyax9TMWp+rsAmVWFr4DjABDpihczY0bfSWgWQL2KVq6S3GErj6kyIB7rmRo+0pZVgZPdRaLJk86a6GhuQqpbbEJ+9OiR3l1tnTp56sTJE3ABPz7wjt9+xjcF8b5hCtvaOoRK4M9FtiHgoT4///M//+abb+IDWFeuXIEGMX/9r//1X/zFX4xuIdWotpQASCFaKZORQjJpZHrln95LBKtX17PmGKTejZ1StrhT3nO2YQe0JBJd8bHZCiOuIYcGxCETz8HCNkU3TVClRb5RFJnY+aip0Nompracd83Jnuh6WPp7hXgda/4z75kOOE0H8F1d/ImCF5DlwQ2VQ2z2csjIUWooojHJ9IGALa93yZ5nUMFbNNx1cEwLmfxVJqtruIsSFGVUIb0EtQa6y8guRWtPmTrbM2nooa3nz6wsCSlNC3QoT5AoZ0JiVr2pmjlgU0kB83WlgjG6irRqViGjpl6v2ulRuAtyrkw7xQvn0JiBDZ4mJv9u7xrnlYqcP4ZZC2u9Qs8UyfYToBz6CR+ahCEhdotAJQULlbDZTMgyL1ivc9/nIxZ7eKoZXBK35Fd0AZXSuE6IDRMHK3kKibx8Vb+yzcRzQnKvI5uaoO4Qqc24de/OzUJe5cfmvXv3jPnzn/8hPHwB+oePHkGD52A9+OCDs2fO2Gdwoe98LAvB//yf/3O8iIUPtuNpWghDtv/iX/wLghr0YM8cKHTmKG1dEBQyVWfuNs3CjWAas0u0SKm4Pq8WRax2kg5Yp0edGOlXUVlREWJ8bWxkSbLVtnUdaQhhZGhSaEPoTKH1Wa3xqz7Oevn62NYLOSfLbkzTpfcK5bd0Jh3ZMQMvKZA2fl3qHv6mefgRvizi6673ZhLYFyx3tiNCZBZqQ7h6ENRRqHpeQnZavjDJOa95xD1JudBpFmv/HGoqlfOgiULucPaqqxksY9PJ7cePXpyMribrCiy9BRNmC2ZN49NqGpclioWLSHdkl+Cv8On1ciZ8n4oww7KR2QeP87ODUl6AzSHoOhGqWtXrBXhdnk9jxLvE65X7lCoqJacc/sc+bFZB7E2ApT8A8gdC+LsoIEgIkmS8rJr4a1AfeGkm3UMXXHKvSGeJyXmSVYlmZ+eZfVbqyNEjuJE6dvTox/LRqRfyuOl37yIx/GnND2PxBoswW/jOIJDwRJ9f+IVfsA/G49dy8GaHPe+h7Mtsq16wtJyyerKumVjBxKb/DLqydvmW+HQDs3IOYs6ekXrSXPScvYdpOqsW5EIY4FFNYQw8Zyn4es7koNDzWqkDFohtG+PydMEpZOeJTClm7AATR3mvcBfPeZfPvA8DmYAJPYrzF87fvnUbP/x5+PCRPl286FKmUMXkjlWGiWYnLa2J7MzGYF1xpL6yqOAntdQQ9/QsBXMpdVMtpZXhaAOpoWBA1lwzhIgry4injN5/fmqQV1ps5WW5g/6mw8B1c3Wnv5uDffcjUV5s3wudshyqKTMuUL6yptUhXo7HYd+XlvIc2f8ueoVxxPjojLEpI6OFgchjsYo73vhMrAo2Q8HjfypLOvbhLaWLMBV/nVhKXbzwp7d168L580A+fOTwzu7OieMnDuPpPHj64jYuHfJ4GIBjicVqgq4WcxOvWv3mb/7mX/yLfxEXhr/5N/8mfuz5y1/+Mh5Vis+UVEk0TclCsSwd4ah8lEyUKjTmKpUqeI/NSEnZhOXIqWc+WVJgBVc1F6IjqruBkv+Sg2ctS4v+K4QuiimZ/hIfOI9yop7CBGDfxEi9hxGfoLFe1XvzgRv+LegJ/rzIjxchuGXDcAqm9z3eK0Re+MnCnJWb/Gh5hH262ATN1vblK1du3riJ14J9EBEdKFOIQlKm4EzNMSA0NuDLhpMcnZe9yCKoZEsDlhxsuhPBNl3u8HoffnS8KlaHo6OyK24yTGeIhWEDipUhJcWh7eczz2jQzGVhLTrS6eh3R/W9lhUKVVb4u1OWvbDqjLdLqZ4zcvXdC958bMJ/ySzzebjHvo5guezIXQgKakxYYbja6OvfUnpPYnxcMhyAieWMITDZP2cQ1rDc6d2WLo6yPEYUD+CROPi1vAMHBWd7+/Tp07/xm//vrZu3v/GN3711+86tW7ePHjkKuEMHxQHUCOIrWEQS4fbt2//qX/2rz3/+8/jcFV6+ev/999u7KwQ3W9IpcmP81BS9zArykQMqbCYKGobS6y2w2hhLoYBe2yCTjW4GzVLKaS3yjD+JWz9SU2h9VmuAVXfRq41j1zrNMZ2cd2942jCcQqLL7V08qxSfxZL3Cpe8quHdw4larh2vv/HGrVs3r169JmedbJkica48yFKAu6UWCPjKLjz6OX0yUVhJtca96PXmhBZp1azoo2ktwcGt3XpgKnRtCqx1xBZcH7Oeb0fXGZSOV1ZZN0FqgWxmD0pe3rUUAOiGTDN2Q5hLV0AItu64mKkb9T2izOPsS0bW7GOKaRC7RdpHmpcLpRWSHeet8Fm9dKkM3QviBkn5nJdQPR9lWkalYUaS1jrmFSiHQ3+kS3bWg+XAATSTMZ4M21t4Ww+/jYY3+iB8/od+6MSJ42+88forx47t7O6+8soxvBR17JVXyNm/wYIZ7zL+rm503Xchpr0a3Gq6AcRESBqn9v5wImYicUZRKJyVjVODQuEz3ahiQIMNSgptOEMotD4rNJEssnZ7PE05ba1yMvzIWDlktCxpbSq/mab8XuHurv5eoeFgP2J1ouYMx59MFy5cvHnjRvUrChPcerILkfEB0pYzv3zJ32HOV8I07KUZLatdo16s6POW4as4rKDp1tBxJlhoWskicVhB7fS22AohL6lw9UoWSk9vdGRuIwfoIyn9TWBzInyJD8ONiyEtNU0MMWGkr9xi00JAwY0gFGjauxCJ9o6WEfyKKxqMvRqiLnt+v0vae9nJqeCFsE7rq1AivoyR7ddVz8eXR5eGOJz1SAMvRwmj2Arm8xcuvP3WW7/7u79n6wlXFXhdvHApzhZZpu0f3svod6zR4vYNz9Rq1KsVRcqjaOZXCea/CKKETiEVXGyW/mh1TmWqIFCuAoVJcWXQ2n+V92zTaIyvS2kUTjqLt8hBiHB1N99uH7qsUHZTnOZkiAlstlHAx0bqTnXNZqdLkluYoAEZWQti/Jwh3OS9QmHBllm1uWhnD264eze9yY5FS96z038i2Ht4KugbefKXU3rbTg/WkpsqvJQq/ywToy6yXZANYlOI9WTJHrB0W0CRKkVPpkiBpoysveo6ROcoIyVsoxDqTbAXIblQWqztI2YrIy8g+KW2tRca4+LehMLDp1GltGbXv+tJJUJIRyWFqoNsbkZEWAgjUlDwX/RfKC9JzHyMxWDJuFBYEiU+GHvddPwxBZZkZ9h72H86LCFB6RheEfeFSAVZk7QAsgDJmqPv8Xk9UOY/3Jt2WXajblhPpe/Sffksr5QFi7VU6QU+PXXl6lWx4oNW8vEyKQjczr127szZMxAIm1/B+nN/7i/c+WO39Z0HWvuL19mzZ/AheaSWYXLEHqQRHM8nYG/IOoKeyDaytsQEpFBUY8M0Q/9aBGPKfBO5rzTVXIEjkwblIvhZf7JSYEhmrajoEfWIH26NrVIQsBUypj+DFH/OLHmvUAJx1slgyn/p77+jR4/hgb0fvP/+q2fwx4ncPxlB6iv5M+2M5BHyTUneNzDG+gkfCjSBXbIK7VlxoTO5iG8CwymMGGcd2kCEGC9MMZyyCbvwospQmCVB4VD5qEl0WDRRaAyrLL1OWb+ymKINIyG1LKRrBAtRksamCjPJHk31ziGu6UeW2hxlUmmtWikfncwwSYRPuAXRKFrOtkDmsAVtSkw1I/Coj3KAmRFHUTZWti990kVTUkZ/sMWraI9NnXqGWV24PM/6rnXQdUm6ENOTGS2fvBSwTJ6ltSR/CPznRq/ugvhrQVAkFA93WniZ6bOf/eyDBw8+eYqfynl+7NhRvOqEP6SryHyDhU8E42MiMKP05dyqQlJzic8wkhxR6HuX2UyxTtkcu+JDCDTY2thKk5qV1mEXHcnEJNow4lNofdZqCjrgFm0Bm+ea92iSmu0tMZNghya5BrhREAiWyIqmrBylP5vriOS9wvQMUkHQBUq57BaqJBZW4ZWrkL78ZwKeMHfu/r17jx4+OokHN4SNOZmue8MU3JMYOiA3TEhBaHyjRMEtcjRlQIjGKZm5dWPJ1QodUDp1bFpQOmj3pJSDS7U5ykWDISXm8e2nH28dK3XuPI5Ks8nCgIz66nTS0TcxXJBqdG9rSpL5IDf386P1sbybcVsCaaGyZqI7RHHBonixlaaX2l3kaG6ZwmyLiRhYF4F0Bhjqk0U7v3LbXDfdW+98csUemGw8E2xi8v4ImNYuTYUyqRZEyRNnay2jpaX+rXqRRqeoeqbJqucOEvWxXJLAIqb//JykhlpH/JF87tx53G2hBjauKHaqsJcl32D9zu9847e+/u/ywLhHe8TD4P/8X/jJ7k8bts6y5NlMiUNKuRU6EJWKMZWeTfJRoIkCQSjQVKzSUjJ5JXBmI5MJXW+CUOi6rVKCztCS0IOudXV7GSGZzJ1NChUMWSgUda282czeVAUBZNjgQyEYk8k0CQfTHX9e8OWi4D1FlM4CXT2lf3ppx2mEz2NBfo5vkQDIXs3ymxrCQaCsdMXLRefPn7916xZ+GbT9W4e5AdKKGve0UiCLCwUR3SYEDyxcjBQqCtksnZWg+kqZPYbSbIg4MBqSNlKUG+zqQK9KMGuX6MT2w496D8GyeYQQbBruTAZdtkhna6isDKketAwFZp7SU8bkXbF400oNHyESpRuGJGLYfb7z6NFjvIVx5PBh3gr4+ZIGzkuUAJnbunH1dDQ9b9S5aT+ts6k/6ikZwJVdrMNymy56TnodYvmybyXZsEJpVGL1NO3orWiRGohjtImis4mL+mmI3QlKlwAAk+1jmEJmXOtDbkdXlbumKgpVMU3K2wIxQdkBl6hoeP5wKtr6flf6gfEOXyeS4bBnbsngyf/5Buu3f+vr9gSs2Ty//e1v37t39/Ll8JktzoVut2mdhS4c2rA0l2T2ClHrYPHUUyBuoSkadCkFMNk5Q3U3ikoK9N+LUJSzB82Las+4B2YSU6gI2KTA1WtzWpBhAyJZKyySUagc6iaWFy5B2ZZVSUqU/hpJWpTCN2LSLTbu1PA+IYL8Db6MOZaq/uDnp95+++1r167hS4rWjba3po/7MXy2VETZMJCEVzmwSPNkMlJEUGijxblNuvULmhRCTYPOBOgCISnXcOUQiVewF1tHt16891zXuopXmhVz5aEIvZ1NEptAfhUr/aysshcWszlZqHgZ1LYyeBwnjMCLFx988MHTp5/Y5zqsSHgjAq+PfvTRh08eP0mB2/JTHAcPHsK3yiFIKqMuZsOKild1QFY5Yes16bJAqe3uQENQFME2ZpvrXMDSLu5l6RJC77A0imlIPcGrd4I2G4xMcrF8POGSrsjVXApV8MZFKCFDKa6OKMT4iJC4FnmLorvN8XSDvieVo1p9V5OVmRAGAoOWb7DyCIYUcbr+zM/8zC//8i9XTxmVG5y2hxi9VhnQFogW7/OnDiC6zuba2m8zZpQd5xyFAmjFSpjjRlzZQ08S9jYlyVzdr1G4gcd5D7oGwfKbyJKwFFJ03Q6gsyILTKEK2Qt4AcXJjBm/s7MjL0Eap3pBKUx6NhTvq4mywGkb9nks+bTjgnusWGC7Uzfa69ev40ko8jtUlkhL45qI4LqpJJG+rfzWDwkf94gW8ekzZc5aygTBAhBsdp9KdNqpMTfqZ4WUn0J3nVOfA3Hi0l7JaoHXHuXLCou2xRdjVE14/Ca+Hkwrve0r4qT0elXWUVOiZGrjFzbwhYnd3ed4QfTMmVftb+gYhF9q2sq/h4bO7z579vTDDx88/eSpft/inJ0BMaSUrXyyzNcTSIrD2WJuEkrArCoR99pqeaFR4pRht85kpVWXBmZLe19AlLKkcSKI8bYxCVdqoDwSt4jLqyZRGhmxxSifM3enaFPZItRuPpZv6WfVKnVVi8EQ4N7yEZcmaiqo/9JEBTD0+QarrQjurn76p3/6r/yVv4JXtv7lv/yXrUOtYdVrQ9uedp22tmii6cZg+G2i6DwwsQ5nIIXaY30bUCSjkGCcxo/9zNdzegT5KLglH42bGdSG3C4lIE5vRmluLTo1FEZocw55DRKp9rYlTbSyKuERn/gqSOOUqOvYUUZBr78JvavfHhm+HWDuBOngyeoAACAASURBVFeBLTyq7gAe8n7jxg3caYlntgQaFWGRDjYORa9La3LWoSgtNXjRNlcbwMJQNji25lkReNMT9naJof2dZWpiZKiFXkCdIDmxScENcnzx4uDW0m8niH8C4e2F9VkszVClv/T8IooUV7ydl9G6Ywy2pLcEpN9Pnz577/590J07f+HwYazegwpLqnnDSn7wIJ7Ug8fzvPjkk6d3bt+G7dTpUydOdH47SMNsdNA7pY7pWXEmaOshyGnMSjLCug2HOPJuRuRDVSdjfZQ9LIFGWUJbchxhRMzok/vlOScNDR6JqPyJFKuGh7hL5xi51BzypXujAzkCmQJBzLF215FxZRomYLuGNDNCjpxx/D4xH5IK9YqEM/Kv/tW/+rM/+7N/7+/9va9+9atT3UXNgGD75NdDnIJYbTNChFHoQjAPFdjq+q5Qsq8U6uDwEtu+sRoHKSlU3OSjUDl0x7v2mWiDGFsX3ZRd0wRgx8TTXlaBxo61QJSyD4Vu3PauYI0pGCY+hoXPvCM3ex2rzrBudxLBCwnnzp+7e+8uflK9Y7ZrqxoErKKXrneDghIOTVQwD8T0F7vip/CSiS0KhmTXpwFqT23x4MBGLG920XgFsAtPD7Svk5tsfImwd6OaA1gsCja12MyuYymlKJNW+sR+jSNgscR0xtdRaZgFBw8wxAczDh08dPHSpd5nCicpsnEbn/+7fOUyOPGC1s2bNwCI31DDD9ZmF5GYuQrzs62MrlttDU2DPTZyLbpxqbFXt0mdeeVUsT7O95Sz0AduOgEdVnHVvqYP6KDP8pmDcC/VBWEyM1O3G6zpmQU4Ro8mMUWUCoT+OE6XLlYrDFmKMfwALouPbFJt/KXCZTrCqN7chvsEM7R/rxv6r2Dx7uof/aN/hLurNDs6fdFyyc4naMdnM5UV1oYjD48ypeHlUFHYjKmNkkmhWjz4Qs+E2oWMcUbVThu02WkKLUjmbm1RQ7+onJbZbwqVv2FugFzh+HojantVonDAOQ8OJCGviu9ziQsipZexHtWbXRWBDcXYPYhnkD4/gCVzwXuFBauRbW3hFYWPn3yMj9GcefVMBS5sJV2BsLBRIFjDuXEEQbsskre7yE7wWrpLopJPLLlko9ie8XTnk5VRE2kl00F5CVP6a/12uhjo1PVIqH5JvwKYXbRs2UwXMEPo4lh3kh9QOv16+vTp3bt3r165gpc3Ak8UO1HJnEijg5C9iueFvHoGb6Djm60HDx3E96FyChF4L3Lsb5Sr4d4LRTfWBtpMabbQr5xpSc3Rp9sCISPzCknBcdWn8/6eOmJn9hmyTITZgXHkWdrEWZFtH6NsVpWaJtgV7madWTQr9JUwFJH99ygpLO+unCAdC731K/paR6uYstm5eJQO3/WW3mDFU0/Gbvvnfu7n8NrVP/yH//Cf/tN/ypKVuaJwcVJGuXTst7R4yeTjWXhGwCgXrEXE4oZ1t+x0ERz5ZBLEduG4smGdBhqFCoBEFCqHuql+djrVprbNHpvAJj3JSoGm1YJPm94pEGqKpWdU3o2TaDuG7LtK6I1FpuDIY9x1vcfCc97xOlYvWQAaAQWDcl8cz7529v79+w8fflQ9uMEcO/ucpKN0nFQlsyJ1KkwQj7Jj98wzQJhC2Iik1ts6m0gGCInUMxEIlVfTRYSYiNYooB3cev40DQE7nOsYI4eyxQXMgWcB69cYORWSTP5BvKrZr4T28ccfP/jgg6tXrzrgOFjPOomPREkmbBGOL4Nfunz5k08+fuftt/FS1omTozcNi6jcmK5JpI4pbXCyZcpSsgSqNOYrVYJ0WsVQRrutbL6+JYt2Dju5lYrOQ9kzVBxwyeY6aw32XkYEgkmydI1B5H0EiE5VraJbKccg/+MEJ7U5aX1CX825CEF64KoyLClyK/ZCo4o57H7Sa3h6F+K1WQtSvFrmQZ1j6kSysGX9YbMTuFalN1ihTIj/yZ/8yXPnzv2Df/AP/tk/+2dI+tIPvX79iz+IWr33zrtv/vrvLyBAfkTMMlWKsLQQC+gKF/JRKMzGHfaFtUxRTBMoRaQ24IwNIBRUkXfEp5BtE9Kcd7IzVwoVJnFMYLNyW9i0c0fOoTYA50Di8PunUU5t7FoNkSkUHUND2/H87VPk07Zv72hfbOH3CvG9wgPPt56DoCAOJ0GlL4Fwrt26eevI0WMTD27IEYDyxUUFtUjPGw7TqFpFlieDzUgJcxCY0qitaeTF2stqgrLtwoRzMpGdAgy5z+Z1avvxoxfFg8fC2MxzZA/L0CZ8P9tmFCSYJdFrQ4ablQTt4UcfPXz4cMHPbKRedzOYZcJTcPGLmXgK7s2bNy9evDh4BE8sskP26+DW4XGzNBWO89/ALYEN0xjmh1GzBc6XueTpC5t8jHIieLmJgBLiZIVygGU+XkcMDTZvDUKSOteqN6Ax1kpte+YEkmoIYkgpMwhqdE7yy+yla2yZj1dDgjwwAfZAvCBeBCTpUSKUW3KysoW62esBWMrVIm+dJZcyvGkNvXCDBS7PSbq//ce//GO/9K//9a/+yq8C5Y0f++HXXr/49f/z/8E7IT/wp370c//Nj/6ndI8FRPxDoO0zY3mdycjZQ6XSrTIOm33K4E4+CsHo4pTNfdojuLEhtu6xuxKWglsWHC1mBA0AmpgHUS2WrBTosJlgE7z7EpRMcKHBKOIWasG2cU7sLftfsIVpNKKQRyvIa0zzeUqvKppIr/2t2NF8bu8VQuid9uo/Sk0Xne3tK1evvPXWW9euXcdb8wW+ZIOtvPVjlqQbwkewRU4xwGth7JpGNCf2AWyyVtWM8WN58fJtc1CBBmmo7fj2x+8+Pzvm61rGmbPs3bixUi8AejYtRXjxEe6uPnqIH+UYo+6n5czZs6dOn8ZH4PE5Ldz3N9fCqSLvZx7TWEurN0ZpJhhWOlvsGKMk0t/9upEi8pSQbh94oyWX4yn/bFvolgNUYlTqfU1n7G0OraYC7jULcCXMGrsZQlREzuYe3KwuQFn3OnhWgHArxuuJWGT11Y8n5TqNWN092X3d3srfIkwLClL5n//X/+Xzf+a//uGf+OPHz5x6dP/D3/6//o2t82/+xu+/cvqEMwBRQJmQ6xcd29WLGSG+tRLUemp7KocC/SYQGWwZWJOB2sfkQiUFxq4QRsGkN6F1o4bCCta+q8477GpEGVTR4f+Jt/D6mGPtaBCop5AwNC3ZqUFbY/SxBeeVnWB9F4BjA7rRUzBvslIwfdonLX6vUH8TGs8gnb+NiwBYBKT+29vXr79+6+YN3GMVS4yOgviHxULD+9lE5LFcldmaldKinSWxd33GPGJxhGmvylp3tjKvbuKPyN1l3yIM6QZxhnBVWXy9DGv6CP7x4yd4qsKndndlaWAiX7127fHjRzdu3sAPD8jjHr6PNlkHbC3gFV3OLRnrT+VGauntdbwVsHwlxf0+L8LARkKoV03pALNcjIQLzoXlwF1PslkxzYfKYWHbgk+uCsGoon4uXd8iLAv6wa17v/m/f/XYyeNPH3+yu7MTM37y4SO8gIyfVANAgIsufRkjhg0hFCq/iBbl6DYc9lFAGzyit+SiP1KVx0kugS7DUqsKJDGFKsr8h12svBc1fSkRUMAbs0diepl+yUs7HrTh0XqlKegfBITRTlvPoaNAexKGhtqxauPMRcfRwZ3dHXlxyPKonAheC2xXAf2m32P1Po9lefTnvp7mMtMOXLx46Z133rn++ut9gr6226XK1Xywx4ZO4V+Msm4u6ewSn4qaTbJTs1pYTh+vY9LV7Wf6huV4goVclrN4kETEgrpejtZt0xTIunbLCep/zMQoyHjO2oMP3rffLqtMaI7oKk9jB6/5s1m5tc0Tx0/gHx61hadnvXr61eWBBmX+CTZN/pbkpWnCuhc57IKaH4IQbZ+S7LfXa+jyfYC/sBU0S4FQkjVRxVRdyhH9bAjk1FsAtcQngi+UbeKV06/KR8oCtPUJWP8qtCIv5YWb/cFdVwGPBsa9VHV3hXh8TORHfuRHcPJDjmeRydjbv4JJGyAwDgqtz6xG6tD9R1YKFRZZKVQOvaZPkp6trwO6bkij3khMofbQtiN0jY0SGcqT+XXDMf+zn0bXauHKfRD/Y10pN0wOfEdvkzO+SQMK6/Go3xy4dDWxGqzqawc65AFrLwPhxSXsgL+ClRmZwYQQ8GdFnE54meQg7sef46d5anfJA5tx1Ua1yAtZh+XBDefv3b3b8xjp9P07Mfb6n4JadtOMMGf1xjV0i3zWZ4y7/uufvu7Tt4LGHIZ8ofOWmXG5jLhDswgRfKZ70VVl88deb+wKc+xaYdAGzj+kqi+q1Jx37ty5dOlyG2IawGJTxiywqUbZsdfmz2ZNxoBSuHDh4s6zZ/ffuz8baICENf+0lz7KVigXN0eBCik7roBh9ZNEmgVPVjvPhdH7J8gKwALsH2yBZD2QcqLX8r8uO4XLoLE/HV9MJzdWug3SeclqGwqbd2n29RmRY767WjN67J0OQtoV46+8cMtLDz7YaD+k0M9FtUD6tV/7NXOw0ybKUTMBssgELHTYENlzE1oaaihEDuJE5WZygurSGKKaJuwreW3ogMcaACDBywEjmJ5SXnPW7ZXEpTtLSCHblcjY5jnh0YHIYFOSBXbDSZwEtmOxgnKKZmDD4pIBspS802m8jc+8y/OxcMu78r1CO8/xjszHHz+RBzecOdPk0e25TAH1jPsmdIGi6VIRA+6w2aeyEnHQZ3GEhssClrTst0Ayb5wIiNPbEYmpIKzZVWrV8KzZZZtCGE5bbtO0+sAbxGWE8NJu6QnuLzN88skneG6CvOZablUCkSzKZVCnRee2L5U3nt3w6NFDPBEX7xvShCg7jYljApv0pEDTLCNDTLBAWwYrE5p2nZOHuQw2TbWeLQPfYo0d+Qz14xyGIXswoOOIlv/lxJDNNCq+tJ2SgjCV+9Pt8opeDafDJMaqKFmOJKAuezO/D0FjSjwQBc+ym0zhZRqRbZopzsIOU3DLuuOScCuB7f181CtBGVy21qXR85azQ88QALP3koW1dfSWvKa997xS130yFMlqIUyTiRhQuC5oZIjS2QCxx9b6UJMEtkuQPbWM20qg+H4WaUpLGfGcd3k+1gb3WKB58eLsGXtww8OT9RfmFyWwyKmsEkdS+59aFU7VtMVlo7slQSJjmUg6BaiMpLaQbcRIvAUCCHT2aSnyKWmRlk/MagHiUheB1XftMQfu3Ln9+hufaSNHCWyckgVWw2F9N3Y44Gnvhw8fees738HXDO1WRqNkVwW2CbcaMsJkcuWD5VBXxEKN0cfr71BZbt3AIsAb9FwSSGcjQlOidBGIJsfuHI2lY1iriivPdGy4wqNulnPQTQdvYn2p4Jsk9FJjZEGQUbW/gjLV6OaynCiIzK9g5eCtrb/8l/8yvkXyS7/0S2+++WbU71EGn8+AHlKZXM9jbzqjLzCc0o7eKlz21tDFwkdJllB5uyrxyMFegRKOOoU1yXR6NkibnhTMkSktpV3q18kjrR7dDGrYql3FdMAXqXIGcCeFC37U24hNGNPzsfD27eg8zFmW+OqPNwpv3riBb3LFV5SZVA7dgwRW3yQBTFCsIEqxggchFuhQS4/g0GVLGC0TY53lVsY8YEv4jm09e/Li6MjTqm9781mYyQiw0kfkymTNKgGwP/jowzNnzsrfXZ/WpQykSIN3Eu0o4JMhb7zxBl7Hwgdw48NEzHO2j23HhRFnh+4LOr2O2b1UGwUNGSl33VrldGA1CgSXqPlTOLMVfXH1qD5S89G2hpQYNl+Qg11ihHctzvIbO7J+fws6ITfuIsai/6Wn73znO1/60peOHTu2HLqeLsBu/slwI2PsX+oWU8myEVc5DfPAHF2SKNywUNjb/3jNQt4b0s0EAZFZnj8BhRmP5UP+t4OeAcxpmM2cIVbUepz7XcaKp/LZWNRjVDrPtEYc0E8mkSZASlqzqfOgskohxVTaXpMZMEsKMiQaYiy96KyDTwjM+hkJn3nffv4Cr2ON/Iy7Oylhunrt6u1bt/Cbvu42gqn1euOSlMjb/+lEDL6E9QTkGw8bbAifDjSrpRHxjRcayySapmX4r9pOH3jwQB+ClTIpK2FoazGXJwBkjIj+k6C2VlUCWDHw1KvTp09jYfDY5WzZsyVK3c8uhQQuY4S2jYUSVvxuJp4m/+jRoyJSR7DSxKauj7pE+tpoR/jg9TD5eGjc7HOhMb4nS7aqR6rdbHtBootRMdb0th/FbqwnrDFawthDv/Afqc2fzZEgc0eGU/6YxzZy6+jTwtixfF+qpDhrS+SFWFhY+xahB/kR5wDeoZBxWrKp17yrzaklgCMfQ5jBwdwK8bL+x3YwTYooH058qT7cbAcgIOkVTI+KK9M4PYvcaEhWNSfZ1hmny5B4mccs9gYVkqLo1o0ldRLY9ig5diOjw0hmoCUBcGpiiJEmagwl1nis3tFjsbwiKrrq87HkN6EXvI5V54JJfO369Vu3bl67em3iNLQSxGAEshwhmSBG7yDPewTnKCJQ0xDaFsQ0rT4ibCyzp0AwOWoM9tjW9l381rOvAsNiMtHpXFsCZl+vDMnA9QirSKdADFcBj/U/f/48VyyL1UVomHgJkAbDOmEZGSn7V/s37VSAXk+vXb+GeyxEnDjJ5/WkeEnS/0sqBZL1UTLQBjAntx7nVEBK1Uc/uhpUC8gQOrc+NO1RqHIgNfSrthgImc1pEGHnhMuXsIXR09jfJ1arz2YVybWdLEb/BgshiD/32Sv/1entO3/wzsP7Dzoga/Oa9Z+d6YaQcbLUSS+pZnx08dKFyCFs9stLUFoEqaNO0wTk62WFWzUdbJMjy0ChQjEu5lNZ96dpVQBHN4lObzuqyUyW+HsSxaWJORGBwpAQg4hfZh48p2EYVRqkEPNMZUx6dgOedLo6dAt/3F+8cPHGjXfwiCwrhGHHHKJMZii7g0aHaQEng8/xwpGYFGjWNGZeyqLzCoHd8/6T2gQpqqvMlxFkebG9g/fa2CwEjy2U0w1FSnc88IzAXrWoi2CjLKIPHnx19Hz9hqYt5XqJ9CmoKxaIpAeZT6XcRHZswBEbm5FzIKsveirHwHHh/IXbd+4A6ZVXjsdIXSflkShZKaetBGdNELMySG6XAgfO4NGK2rMUiIN31DRJb8o2VjXJJ0+lgd9ALdjeU0KZb5FDCKebJxtskyID4YXY2DSNRXd4tZqm19krY1qFR+bJgkXH72F5bXH3ryty1mh1kcLwBgs/L3rl828ceHLqlTOnnnzw0X/82jf3lMCS3k4MeD2XFuaS5pJ5S7d9XqZ0hBGlKH4Oz7LA3ZW8gtVsUzk2ziMF2JlJ9DFwUlBY1HsDjXDTspVg5ENuCuJZNDR0LWvki2Xo4jhdvRS4PoJNynhXdndXbpgnvcQ49hhbJkEX3mPZaIAj3t/g8y542OO9e3fPn78wSVIbN8w1nR36McG65rkyI/Csz1Kd2EzbZ0Q68irrgH7MyZg0cT0+sFV/Fy/nYHDdqQcnGxLzFk+Sp2uTrSdRn5FnpV7G+I6RfsIppKULmLU1BRkaScWvjjmnGUZ17JGO45RKPym1JR+XwmYpbF26dAk/XHjx0mF8THAcLlmaVQrl8pR/tiX3MjD9GSzDFdGqErAZO0tlpuhI5sUK1x5aeZssKQcZCi9KMV3q0FF7WV6daGVO91gmA2ohGqtnPZUuxHoq2zSUMto9/rRjJ/NPT/XdS431RAp6g9VLBa/gHHvt5Jf++I8+efDo3/0f//rS59+48623pqqDqgPH9q1fj6L16k2SEaJGc45QULUlAhFdFea0U9Ed9DjcIWJpyg2Gzr/5YvTx+9qGY4mCIwLnFrbVZMwpW/YSadaT52E7jhYb9yX2/rVwD/38uT0yVwZnD2O7SU52j4WZaM9uQIdHtWhzO378OL60//777589u/bHXiTVligqW2saDHsvtTUL5D5tAMdW1cKbKY3FVHaB0EuqhebI53iKe3+WWvckD710mhPCHcGPGauUfBllT0rzdIsZw01kOU3wU4CnX33VB03pnYNgVGDBEw/DoXlaoHO8+ZDug91qkOMNvPoKM0nxjcKbN/GZ90uDXy3MOJBSziVp4VE11FO4tAZuTGdtoXNb5+jBirM0CDjM1sZVNbKzUhtQgitQiwYL1UmsVZEpm6ACoBhMUgspdOjdmdrS2c3jI+eSBNr4R1UIZILGpfu8iJo1phFCa5FQteEPS1vO1BV/MBzycaz7t7u7a0V/5dUTn/3yF559/GzmBivUvsYKc6Q0zQ+KjjvitVtlMFqcD9VCIKbGeaRoPfX0aNUZYNghdWEkhRxp0tBQO860p2ersQy5omG6Q9NZWBJAoxD9eR5GuuiwJ5msilL0ouJDUzWVek/s3WBLokhFnkGK39LBM0jTc95XJYFbK3w0B599bh7c0OVPSiaQhEBJkUIfKD3uqm+c1abrKcuBgMhHOQnetmMKniUpHHhJjUwH5Xs8snok9lwOY5L56dywbbCljJ1gEiFdxvRcQbqWsXV2e+vZzs7Ma0IB25a+VRdyXc9tUUcCz70mQEpbgO+L8KPh8uUreB0LnxRsn9dFn0JgbCoCoLTgeUTcXT0jlxsQwVc1s25aSjgTgZaPoTDJin4ivEfPaBkgqVmuW8c9GWVokmhpSGWYUIwr0cK0LQ0xZEZWHimEFkMRA/U0bLRKypNUI2voxGT8d90YF4wFyfhbhE3/cIP15P2Hz771NkDwKcWnHz3Gl8Y3fFCWFHVQWD/fZWRDDvC2lo2y7MN4L+hXx2WQQccTqdj7g8ihG9VVdoCW+nVCRZVKEITKcRH+IqcKuGlaJZhQtBOfQrTuSTZEjoLRK6KIdmUMrEGcpCXgpFffaLFxX/lZEm0q8uwGPH9U7rE6bz1XIFUTz0zBb8Ph/aMjR4+ISXovW9GRkrJIw/0tavleVveCYxBq+NlZyPXK4JdDy2YQ3VEvJa5C040Uzl/LAN9S2dnSt4aZAIUqVJqa8qIOt8HEtXrpPl0waXIGoQoIVim9ugXtItEWRfbXYmwltX1EUef2T9ElAxxhkowVEk8fxfNE8ONO82uzlcKoUpntbsJO4g5+X+W1mmes4p0UKWArws1U+VdND09zpLKOmySSMSqJGk1lz7Ol8Sz54lwqLWjZNGig0xoiL8akEBw1P2knncXqOuteDX6lcL90Mfdm5VU3bV5wIqYxqr36bXPu274HtL7Wl5V49dVXX3/99c8eOn/91pFrNw9feHvrZ7/yP/6tv/W3TpyovzzS6wKw8j9UWv/lZxnY13Sxl6cbeDzexIkbW5gZOjnK/DxqdDTvnASnjAeQl4JbiuMK1orMmgVYrwF6y4BC9CIIhWit5W4GUC7Z4GYZ6Gh1IgzHKFqz9aHVL9IYaICu0YwbWMETa8Hmn6oGTs3Ry9R8Kk9LJu57oX0dnkGKwM6zG6Ad/XOkq1evvvvuHTwNWBTuLCsi/7ln5wgfbFVPOn5R5bi66qb1sqiIOyADGQ1tpoSIo8QpmMqFwkSsz9IaOaUhK4Zk8uL09uOPXpxeyOduE7zuko7dNIRXRwU7yIpWxfWaePzByZOnepahDtc/bLKQyqNiXuBPYmxoWkBcTk3WpbTNxzV1MYe8NOD9wctXrty6eRMJuFKF3HS1lSIWJMrutfCoV4Q5X8uhysRKINQYJeY8B0W7BabYNeHh7oq1WtQLpc6eyHll2tZjTRnMsqXeoAZyluiZInudquVevv+pnxZQVuFOsfOHhNsB1XUbQIqV+IyeSWhOicM9h5RlykU/GAOf79bmr2CV/BiGv//3/z5Wc3uL3QQo8cn30lFaPmRp7PjraDBJx3RSpoE0jQTtzzZZOAxN/sp6xcdACpXDsLk2QOeRFIJChCYahWjtyytcSwDPAAMmGC2Oalp1idJrzcRUZstDcSAWRm0Umh5d0i3160EgVtcLwVC5zENDDN/2FUadd2VmswnG61iHdnZlwdLzIjlaKpYHVDHKZSw6V65evXXr1rVrUw9uIHNHAKMMvSN2PKDyqhSTRE5fnN5ywDYN0MLOMLYBrtEcbFlJ1MmiSzHkGeTtk9sf3Xh+yeHWHA2Z5TKhqInQp1LUaWiBGLuMFm8B48PjfV8rQVpfs4vSyp+iWQVJ3cpyFfZho+ry0I8GOQkOHz702muv4XUsvFcIZp8ha6cIMJeeUqSnYIURyjgQJkcNA0yYMFWebTPHhrTzJGm6n/2Ro1vhj43NlqXVFM6BuvLsZZJ54bxmclaBmrTwFfoqAaEQFVYT9FYTxbU4hfpp08ZETaqSF4toURH9K1m46JqI1YXKKgDN6NZaN9PkG6wzZ888fpweIvcrv/IrE3B4r/CV48fxh5Pk6kMu97qeux8nMJaY0N+MlCUNZS0Kp4Bqo1hFBfsCcWGwpWIXL0ONgZQpLGBWl9UBPkMQ6DkVXA7IcepaC+XShkMnf6UfjUwYVBWHfgvIl8SaD6anfgIqX43ieV7lP8tsJe4XchSMPLBtb+3gQyvP8YGsbbwPnXyZymQeiLt08dKNd27gkY9exMmAhB4O9kMCFmR1SRUkjqdChUfrepq8XbfumC/ARZzXRRZ9GAKx1jcVec0lgfAHtw4aaFrkaegL4NCNXBxgE9jsh5dacyZUaWxbeCUKFdZ7BbthgEuqjCLZ+hqK00KYxq57ijFzCewidPqog97piCWzfeyVV/DZ/A8+eF8eQG9bx7lLFpXetYlYMzUORTcba+TYN7nKxJpWuk4BB7TRc5O0pWKcK0URZjNxaoQXgYNMs9q9EYgNekkioGlLhzLt1K7xvrJoAzudVt4ojzbxSx1aRLB7NTYbRz9zfDHRXJLXRKy6Dbg1esrWJqEavcESzhd/7s//hW+/+aa9wmxl9GLWoecvXMjnUm18Ke1YICOghkIknhi76JbkEgLzRl4XjUqrK2+hogkQ3t0iaAAAIABJREFU3kzTbPUgeHwns1al0yNHZMldTdPq3b6HYwQteynnWpwt6hndp1iX+vUwEIuKYLRsxG1fORo+/tDH+ygT39kvohbkJNTt60ET40PMbfvM+64839q+r1dws8EAarYO48EN5/Dghnv6OMqOQ3YVybNJdRH/PEwWPYtRIKp3p9uFU68hmeAEkZPLl2N38wxqvdvtmM8u9y/t3ZZ+hTDFlw7d+eIZ+LEI2aTXfu1pY/XqpDshwVt7KJA+EgHc6X2Zgn1tw6vcK/gaLGberYkjnTp1Cj888OzEs/TjTpPOHjQ4aqxVxjvhngY7DW5Wpu2hq46dolWAVSYxpcpzITERVobXJVpI5245HLzYmIY7TBwlVrO1wdLoFecmr5sIrAs+B8PLM6mFPSBGuepCNOn6WAQKzHirbB6eArSCdfAhlMhKi08A/NE/9sXSbstQqXs5rSp1JenplrEPI0cGq41OGIxZ/aq7Ry2afu7cy3TKFvzjSFUhcXqEiH0VQWkDr3mYWBOUae01qz5HzZmziuzGbZqor6LxCMTd5/jGvm7RbyF3BaelAUy9Hi6qhNDvHjx0cHcXTyCdvMeqWKWJBzc81Qc3nDl7Nq2PkoSNWewYfD2bSt1BXaPyhbUfYxUZ1CWdQbW1j9TTrurJi0O2tqWJY3g23oazBm3Ryd9JGesJNpko0ms46P+KxnUGH73A8osbq0783lQ2QyQBEG/QhcUhly5ftjcK95Zvig6pbnR+Lk67yFYGSK4Bgd3tywGXezp2cdTwzcfLsKwjBe5cYzbtEjOVSKNYLksbTNTMsSb7cn9QwNn2NZHcyfTGjknoos2WhOvJaBqJLjXRc0I2VED1VpPtQ0gXG+Lf/E//8Xe+8Q3WaAIRnxX401/5by1q7Oa84gHZl5ZxwD5bqu5aOlrFTiXcGSZdi/aeiyP2kSwbs7WeraaP0mg3DjQkGSaDCPulmGmMm5yWKMhBEAoxPGQV1T2ZiG7EdH2+8zycUDRwerrGjsggbhWgN/044RpNhZyeQYpfLOzMyMJTUrSK6B63Vvfv3cMb+ieOn5ARs/BeKhVK3SwXzdo60QaXrhSdRSAlM5mN+HRHeIKyMi0J395Jv7Uak1G513HpkCVfUS1rIlwQyk3IcN/E94JLK1u4wWpjad27YMNkFJ0hW0owVXPAymurd+/i/Y0+ntKvZ49j1wdepq2Sr5qKsWTqLiPbo1dZpV6q0wScxhtPaQuM4cQcU8e0OZ+jchzasXC6QiCICWwWYXK7lGYLYyuHolk2GCtqWW7ljZHo4ktw1lYO0Zly/gzWv/23/+ajDz+E4cChg6cvnP3g1j06VQJ+Iu1zP/iDly5dDqtkPQlK7iLRCm3fm5JKS+gaP+4XbYOXJiWywJZeRG3ImqjGY78V6X00zamPvafLi3R16WZzpZox1iQIhSFo5VHBDcNKA6J0k0GDEDGjnLzsMDQUXssa6RmkePvSpizzoJBw/Hxy8nPnz994553DeMvwiD64YRld7QXSNF1ri7etrG1xJR/NpTV56MzRezLjFs0xGYSjiW2Ig75tjd4S7iwQkWhKxtqty3fdcSz6szdSAbcIRzqHDh0O1pci+mVJ0nd5FdGw1IbyyiuvPHr48PHjx3iRtYObKYu+dzxfikqTz7N9pi+DFPaUOeourPMnXUW+WaoKsmSe55oEXguM4V23EFGJHG09WcRITeWZm6BQP9MU/puyJ/CV4bKoSC6WUMrcl+AEKQfNN7Q7Yn5RendH3kA5ePjQlS985r/7n3769KXXOu6qQsnwIV0VdcLIIidDEf+NYpfoF6RdkkViS2UJzWqfkobhMgoh5TQpzVmmFR1fspBzqBLVpqRh+lEa4rF/m2WTcwrIRlTRVU1xh2riXwBMzpWGTSTBPCiY1fHT9E1Aru3TEzcKkSPqB7LNGd3LPdZzvFeoJxTzoDAAgBrf27pz+za/lj92nLT4B6tDjaI/SoHN9lFPecJEn7WCDVI1VACpkkFziv3o9s4n6RWsTgIeLCxJxmcD4qIuy1yxoSkfRccieeAAHmqGPTaVZW+xBrVgn9YF88TaixvlBVHsiBZH1/8lUaWPfh0JsTr9SlMqBZTzm7JXbnj56v79e7ymVlZvLoJ35309pqpvjLmnzGVyWQJ7TWOj/NNZZeMeEBYms9AtAJuIXtuGJiaGbY2XKkDRY0F4V98H6Wp7sNERWcUmZCNl5mJtfPLZMjqL8IeT4yaCI68c/cGvfPHVy+euf/EH7/7Hd46fPZ0WsRdbR08ce/M3fv/Zx/KkBgP02H07WhJ5Fmdp3yimgVBoqWyxoVlXX+3uVvsXwS+v4fRkEAUSbfR02GeBXK0AJktjPpnggQm8eS3lBVwdOxurAFtURPTRFmvCfkTlQrnFlIQCVelg/XTdzsFDh3Z3t3A1n3svqcoGz3h8++233njjM5V+0LSEirTg2Uz4QfTLVUtWXg87emsBb90lDXl1+6MHz09Po2DlximP36yAGx4hhTU037Bu93+NNKZj4DLxwkhHh2mZ4U+ePD5z5kx0Ro+4xS64rEct2GbsHHS7tLDZJe0nk9glwrMS+eqVq/jAOx7bJo25zZAZHonmQtVu1zxOnEUx/7k6WZW/q7XK08zvaLJm7bDI0G922sl9nrFJSbQgi9IoSweQJVG8wUqT/MmHj37tf/u/P/fjf/SDm3d3n+5859/9e0sFt1xf+B/+xM1vvmk3WGurMfLXImWjdKFSZeMyaU/hstrqwyBTNZyyarr60zhKf9bQ76n/ow4BFFs1OMyqFfo49Oub1/TTEiIOkOVcU4KCpWhoDyoNISDMvl8WnStZE0q1N4p1Jz+e3SD3WLjArxltnOFXrlx95+23rr/+hiaUMgjJRY0nFswvQ4wl1rrUJNHBbZs/NhYIAGzvM45t7byb/4AUHpzd2JwxH+UBM7idkgmw6m2+hIBgA+31K7N0JR2e7adPn8EaQZZD2TxTnC7DjNIuElKWcLmwTCwSmUwkY6bIjkcn4jedHjz44NVXi1vGbh5V+IioyidD6cliVsRGt+zzh0CK9dsgXftbblS8DQBffohPNjsfJfU1657kt9ZfT3+jdXKBQQKbsAu/xKX8x8nwBkvIbHv65BPcSH3mx374/lt3rr56EiB4/RsvZfFmyx07R86UVqi9dT7orrR0VKXDZi0mlMInaCZMm3GPonJOpMyq+Ty7sETqWqeUoMaG+CaHvMIuQl/kNMgkcltC5lhh5maW1DHG1xQ4JeR0Gp8McyetJ5RIIrXK2MmFquZd2E73WPhd6qlnN1RgL/DF+NfOnb937+758/hwccvdaiqEsqkXWqhWhgmIVEfDvUwCshwHnqmuArZ68/sMxcAwy63qTn45SvEw9FjKhtDMe+gxNFg3Z/OvGFgf/EJGWq+HDDOGhQlUKDkfXi00D0OrnCea9LcKnD59Gj8FferU6alqBzgmb/OHFsJSoCkK0Rrl6LNEztVY4r2fPnvJGnnY3N+XhGwAN4SaWV17qHE1Rri5RGUvaKCTaH8TxJDKunZhu8oBQUcdw7vdP4QcyjQE5fCxI2/+5v/38N4HBnno6OFLP/R6Bc+hoAAHQtUC2xVK1YxYlWlJ08ILECf24xKYl+CTcwqJBPElUHYhOxVyP2ZDwS2948gJBKs28wcaBYYXFEWDLo0w9SoUlntcced+m9b+HCRw5HXZj3TKwsTdW3YaSnaPhVdRcRtYOo3GTdzkwQ1Pn7733v3XXjtXRkmrAmodCg3uQedCdKByPsQXwa7TcwgFY2gY1GwCjMCKho1NF+QeGmN9YPvwwgu8BQIKH6yCvDwBZ0xH5t/VQ8laVQ54DpZpiDDyrAKr5kR4LBPBKSQc3mbJSNbGiqvbZAL4CtTt27en3yhkShYle58/InYJJpUM2XgEE7xOqg0qwB5Npvm9bGQJN0lyg4pFmhzuZ3XWRL+unIbc8/dj13eRcv0cYraevvB0XsFaRB9OgLovdXshnrrNxlq3bSLXzvZS/Z5u52vIRbkzJ0QXwxLQgjiDWSDM+DZmywDqOhX3tDyWZ7N6netCc7woeD4ZXwI1WF8FoX21ML4w4AR4jiuZXEQtD2LHpH0W0fjpCZKVPOcdvyiHG53itRbLMOUZ07Xszp45gw8XP370yH4ttH2/bHknAB6qA9EUuazKbinYvsZOAbV6advC4U10LFhy2xvSMiwM6OgWCr4vtvyxZ8uYQWKMC/NnaSI8Yg3ErNE0Ie/syFuE3DZAYKwJUio5j/Q/VRlm5dZt2nXCEfK4d527SnBhFmNocN9v33IVNN1iGlF2uxypX1XDFmE6vE2JvHwlexohMpqcEbRtFJWyjWImrel7QrPHBXmDPvBWRWaxlCcoBnCzVR7EDdUEXDYJZPXwc4UCwNMN1uZjzDyGmS42WE8sFcB2O2Z03pPF0IscZSz7yEyFQgS0GMlsFB+95+RFBZ0oEuMpzDGGJW3edezhOemFqrzNZSoisDGA6g/BwHlGbTmluYTXNOSJ2bJN5wAr3KZ9ZognzZ5VmQlLJi+y4R5LT9lJnMJ47tz5d+TBDYeOHDmqN4lLP3kdswEium091xKYuLoUCNiggnICIlD3EFABW6qwx3NiVw3IAeHH7+SsCsrreKhAKrJkFjZM0unSJIRlK8Khw4fbRAXBXk41rMAuoiYUs+J5k9y1PVzSKrSmKSBA8BvbeM1ofF1RpnTp8qWbN25eu35NcnCXVUeLAuoew/nOY8SJ8igr+myWQwwHBZuQOXBQRn03k+gcY7vO+6/kxNp/6HlEn3hpVfDmfOC+eZTDI6uyQPv57zSjxNINVgniQeF48Mihw8eO3v7W20mHgCpm+Ry0+YLwKsQACUuhZgpp1WKOqS3zbZROvqfdc6Syb+6FbKgjE+KxuOmVstN/ulFYyrc6oATmuW7qiOayTzVvlwCLWusuC3YV4nQyXptbnoMf/do9m4UHzDqOHPJVRaBKuLLVQ7DnY+FFrFWfecfvQN+4eePK5Su4Q4szx2oxGrpRNtBbYC/BeZ3BdhEkE1kwdeACks2c+KJUNzxE1JWl6eDW8x3ArelDzMZ4cxfq5ZQ8M4KtF7PTeWdnpw+kvDppJSPLRzwhaSNr+vEeIxUf1moQmkKs6zJc+f5TZ0bapWhJrk5p++ixo0+ePMHzseA0W4RRGuzjDIL20TpqUBYoe60cTNKHEc2k3qIMfC0CUxKBfzNM0lXGyLi2C2SvMP+wNf2qIiWUWxypQzghXmJ3yoqvJe2/Rbj7bOfC566evqg/3rm9hV/1OHPl/O/94q/jS8z42Sl+YqDoVTULYEtlKLykQU8KhUtfW7hs2GCpKEQgTTeM2cvLI7JaKoOEJIW1aSSotWEhJ1nIjLhNqwPbUen8D4hrxTAKHopU4hZJ/eoXdavLFsGXy5YViKVSJf/8h5mmaXCPJd8rXHWPhS8VXr7yzo133sCXCjUduS76klCkN83tVu3Y0lfCPKg8+kMQCi1GDC9K4Xt740+cm7/lPHNlLaBT48T2J49fyHU9TYR2JsPkd+Yphs4eZPqNcyBsmhndHNTpqD0t1hywt/mEg3JruEgb1EGwsKU+BFnFpTtJSbLQ2yydUJbYXDx+MfPGjRu470/x1gVpzEX27FZGFCECaEuTm0uJnBuXcck3XZEPiGxvnSCv5p1a0cHcFu4LtIUx6lZlleoWEEwTFC9f3GgkbD3TOth81An58pKdrfjkWPoNFr6lfDCvdh/cvId/Mee3v/Ef0MQb6l/5yle+9rWvyfJouByWmAdlChEry9E8mWYOmZCYEGC7aKSjkNGgsn9ZtU+SVQjgEzl1ElrOXgYvvbBbWmQJICJaMyhdxYCXJHhaUqxIH+WXRN3CdkcsXh2YFYUMAhWu4H73l/XLJfs8Fl5VbZ+P5WXKYKDDP7x2deXKFVzVrl+/Ljb90Hp2Wi8h/34VDMr6LXcqWOw8KTuqSW6kZEXcSxl0Ikwl0enVye2Pbj2/mAx6IyW3J1KikEkQOxClKk3GlWkUGCiIZkIoA8MeTz8XTyum1a2ITA0JlE64Z1IvPhg+MCbeuLQMlUfcLcQLZUctZP7EyTQ9/iB/8ODBq6++am6p79M5tIielWRU9sJbbcxQQwQp5qr40lknvKj8f2E0l9KxzERHkA5rUyixpNUiKEMnE5IiijKdqWkpKo2FVMpNmnkkNolGJwiAsUD+UgqqNoPcIGqycIek0urxp/7kn/qt3/q6f7F5GPS1r/365cuXL1y80BnAmeSGmBo3bQ3QaXngxKDJEOKepkJYzFRETTdkaNUDS4EvRymCdBQmoIjT8VkSX4VZkUxZhVfNGCimCXN0HcnT4b5ept5GZ5f9OCLYLz14QpEsIVHoIOLeoh7NVbwASV1cFRac7XuF2zgt9TPvrAqF4JvEI4ePvPbaWX9ww5qBHIAmtfZELir+n/DBpnqsa7a1+VAzdV2n00jQJGQZnV5AZehkO7z1Iv/wZDohBUJyUIcNd1PfUh1Delbw0CT04MsENEePHdMRzn/iDrEsewPctCcoIeqQrkdpAC0z2RvqBLaOwAG9vbDbndY3dxiPbLjxzo3Tp1+txi014TiIThbPpvUyhP2YVPmmbVh2q5bWCqJRcypKDt2OdOHKnrA135Fc1IxrOt1LBl6t7DArMQF4CsRswKSP5bMAY59dbCwseZ+ZS7qyz2m0cPoKllblC3/kj3z+R36k9Wg1+JAE51Zrdc2q7lUja8M0WMzWzKLlScyv3TL/5HLryXlH9WhEul/OWSAUjVUYTMiECDSDM2EG1oQ1cgxkXcIFQ5AqqAWr+AB1AzW5NRF7FJbBJAsdvMtZYcOd2+vpEbvkLq0aOjJCsM9jbeNnWhY/H+v48RNPnz177733XjsXfvBqzZDaImV76bTmh508hhevduMF7PUbZsH8VWQSFstOQpCbPJ9cCIn1UoTRFwhtJu4ljRkEL5RklLLy2V52TRec5PTKK8d3nu0cOXq0dBm32N+FPYEbN8Sm940FZcm6x9Ao2CVAZ4i8eFCe48xPIvAj0O/LVGyfIZKKZclpYTUw7yJhX7bhgG0PHXFkKSZk/K/Ty9RCgATTIGpqwuYxcmQO5hhNy2UDsYHKgDE+3RaLig6ej+jom/thqiJZenUEQmiHOw5dVYSPCHBmsxsIZYwd+azV8+ZEJ6fmwHqtxdqzv95geRnw/sKmgA6xPF5mAaKswlW4N1fWxcOWJ5E9MRi4cdRs0l1Ui2YnWavPKBtIJdzwLyHWiQK5iECBpixM2bIXJbAsirBsGBZiOHZBR7/9FVoGXyBlTcKLHkaHA747js8R2uOOFubQgi8MpBumDcs5qtc0S/o81ovwmffpgK0t/PTK/fv3H/mDGyQZhDAPT87WINu7Lh2xTsXPm5tWyznHXQGFZhqKJo3gUorNjRS5DYrNMgx99Q8/VAZtSmydA1T2rxfQ6HRiJa3k4HPMzhrRzG3pMqDLIKI//uSTFTdYBLeeSF/IKYOZGlDaMputGklfidNGWo2Ju1RguE2h1Cyj8SF3vJ565uyZfF+e8qnvWvYyu5TapkvoXplJv4W+23SwctklqahYC9hqFDur6+nVp260idaqSUiHLZJqYqlwEJ3jiPVwOswInD/tWaKRUq+A2oWnsnLW0LyjW1b1JAPpWaZ0nI0sJzVTYftqm1qGxkSryuIneQWXZgGgNqnewgwqTmtWfBFKZdlFZRdkE+UsKC8n/FOKNIylQFMtzHvUEW27PpVHNdsPrpY9a8CbKLpMlhaTo09auYFTPjkTdww7uzsHt9b9IZGTyInNSEyJfhhbZMUMqa+FgcfOoYMHd3aR//LXsc6dO4d3Z/DTJUf1pRGsMrI913fZLD/lwqKz/CEI+7NCdZcEn/y5IEjPBzJXxSTs86hko8Wi/VweglXrMzIkNaIe8z2CE7ESpIyko7dDXfDMNBTm8OEjz57Jb7yu3JRak9OOIBpJ5cwEjWlOQ5vbprdZ5NRShbpLjeT/ixcvvf/e++fOn5/MwjPfOA1w2ajYkLV9L4bSXFOJUqMNmcx4bMx5eK/GvrBUicWYMPsmIRqjF8PgV/TMCyOIelYqtMwzA4l281GH/o7Odp6w2fceaBkVQVp5EO15qxmVFrQV5RihLtIvucFi7xpEGXvLNXaWbh440xl3Y1wjzHuUIZYNdVV41aTbfgoTHBPJ4ZRgRRdlM6IBysg0iStLGy9dESHKkwh7MzY08o6engyWWUY3z8Y/O3QlrBC6lHWNQyVYRgUdDWYvMX0dq2cYEpeGXbvH2pq5x5IO+n+Xr1y+efMmPjQpD27QTV6mRUU3eYuvzGbjlt9IpRFlQeR6wMYCdPOt54UEHsAjtPAprAVbumIIiMDJ4ptTcCk5jeDUzRFGTtN6fIvw0cOHyu6kVQDwsSUjfVSwXdLZfKRDhTLXzEVYjiDTzYsmM0w4RAdlBsEt/v17xbemplJxEOJOOXdtyq1ZiFnyMMyYUzewqww97NrHylyPmlnP0KzMUgOWyyhFbcyLFDmPclzaYJmEttwpbyZ3anGosqiaLahqxMum58BhWs3OW3rmTGYKIxAys9JVT0eBs3rFGS5d7Q1WmypzA1dpzZUu9bNJTTosxNK0rOyyj1FRnqTaJ2PL5zWrMwNh6xyzGFqHhhi9QLbrG9CsdGWEVTFR9RxK941bbWesYLz45gFNJ0QbsZRcuyqvHqUAY1oaLX5lbgQSk4OKXDZUU+7EeW9FxT3WoZ1d/CQxFjm95uLs1poZkWYjO3tRSpX4kvw7b7/9xmc+Yy5qTG8cUbOZMH/diaXG1LIAHwkrnSxPxbm7MheJrWt6ZHvnqf6ZOsSSqumSYaGSiuS6eSapC3UmwwRKA96zxluEYNe8PDFNKDkuLVEq6vxcLBOILStCb1wku1Ru4TGuXs1U530xt63jJ048efz4lePHI9eUzC7PzzPApNw0qcQYMsM5km8Dp0i7NstkYwS7ZUG4bikrOQtSnl3OntL9N5xlYX7r2AAuIbHU7uJMnSxYVWBQ7vh1VYKb6mB2KSqkii9eBjxJc4l7MiypR8UgnNpr6CUhG51QB4LPCtNFsL9ksfYJo2IV/VcN9PwX6VrPaF0qE5pCjASHnhxpH03qbyXZqDABa8VcYZYQfJPRsX+uYcE2yixyUCb0AkFGRv6XeZOSYxTOa0s9dIDGQph1KLzbhsbLhS7+MzcvWE7OfSQ5pghnNLUnLfwKDQCXgHhWU4Np+RVd8tRXJLTSFfMT3zKTbff5U5zQz3Ze4Jn0+J6cfOr8AB6wkv5JA2/3Fd9BgebK1Wt4yHvklF4sqUiMEZldFQGbjB+UNssgWgXpBhr+E0dE1ZuCbJJKAFJYTcWUJ7cfP3xxKjlAn2ZZYJHctS+2TwkjIvgEgsVinclcoNWLe61pSqlfrjlAs69No4OqY4V5J5ubtWgsnWtHR3VEJorw4gU+FPje+++PnKf0mooOonn5gObEoE+5yWzsbFxR2JeO04zK0oBTwVsHpXJFHwRaLVLpJCRUtUaYb3sX14J4blYtzWqebOiB3iQbOhv7O4wwA6LyPwMxgAxjhSr2MSjICul5+PIzk0Btlmxsg8VTYYq198o2XsECFO/umeoSmFXOCbAbE2d95aBN01WWnOHQkF1mJEyQ/AHMCd+KyZvpGLsxAVKYHKJQLm8g8TSAmCM5TERtRmU277MUiDMy8tLkbJ/zKJ3LVo4upEVORUSnEUGqgaJJBDY6GNKlvW6T+FgBwyKodOqP0x/3SaR+fvDA4Z3d3QPbzYv1dCkE/H7O2bNn7969e+HChWwoMika2aeW4nyDTZYlWZLkoNtCmBKWIKV6ZUsSkeFBCse2Pr67dSbFe2oL4BCeurPAeewijDZRYjlUowxhkmWHgwfKzwV6Ycc0c5bU8UQ5590mLLk5Rvd1hjnIZE+TA6ODPwTwkOqVX6WyxAzLph/uDLSZi7cwE7hpjMxYl5eH0lOLks5Tlijl5KdCKhxjasGKkmbsnHMd7G1WVhQNCMC1l7lMyT8rcpQ4NwjOM3dkoPZnCU7quKVdBqipTSYmHfIp1all6DbYpoqTKES3InKxE0YibD1h71rvoBkxtG8RhqC9iWXf05JjebDXJlSeq2itHKtCWmeppCaRjntJqEXPmk1xZUWwpR9YEWS01kSfTL9HqQuKNU/HNBtN0r3svLR7It8YRHPL1JKQ/OWWNeskBG6cSmDCJ83t7lN0TFH/pIw3UiGiFvGZd7xXuHtQ3iusbUU7WU+cOLmzs4vvFeInCwv7qD8y5UpHaffmW0pgb3VRECyM5WJbJRCall7itEQ9VK4r+WY0xMyKimPdEfy6/7Px7mBpoTexOwbuLs3RClCc3ZsnENGtF7OjM9nZlMksSOStZQzP+QsX8HVCfODdh6r2sZv1tE9GT8yO3ip9GpxpxeaF9T8wMDkyyOZlIUg5Vaazb6yWCSDUQkwKTUBHkZ0VJzc7vmMVwyoQPZtiH+nYYtFkHWKz9Rxqqpjpc9lowomXJ5oP8ZJMODFjVlD+/9y9WbclyXUeds6d7626Nc9ToxskOIkUSXEA1IC0sMRBEm2/2Q+2f4D9W7wkP3hZFrX0ItvLfrFsYC1ySQQtihT0SAAUBDZAEADZ3TVXdXVV3ao7nXvv8bf3jtgxZERk5HCqIGedyhMZsfe3v71jyLiZeSL7jUQ+SDaN+pYqFwkY04/mZJWrC5KOlbWFleHGnCiSfqKs36HU4hrX2zW5LiVyXvCkpg3LdpARJXwHmBZ1Y55UGXo8XdH4kZ9va9N4aQJMwMz/ML9hHKHtGyh6i9qUO3tyd0/3TIwuStHm3eCLRoYi9oR+V3h8InfpvL7l11jgKa2mPZ9g4YYQlp/7Qa1qxYp7QZUKZqgXH3WJS6xrjuG+He4iCURcGp0NvdAzJENhyswtgxVKFo4IxNoqiEk0HwURAAAgAElEQVQRhQ6bykMXG7yRBB+17U6d3t7ZeZWTyoQlJ+7nCyu+vmd4+qWd0uzOABD8oBVXsKSWjUeCppgSsZq41chUOqfWm/JxEY8m8SDXoZabFiRHmkqPWnYq1Nxo446cs1ORLyBozbHvFboqwrUDBNloCOb+oOU1CSZCigCpkc/KeGSMDACZGR2KGcjkP/REK/0siC5uySdrq1HQb4IlDju3EYbcp2HRZDjlnMSw/AJFCniypwyyCEToR2HIIYIdE6SmI0yNJPUQB5JTHzlfTXq4wipo2iymwcNR1VYrVwQDiIZJQiZ7o+QxczXLmTHqHC+TofsUcX6n46ZL80kwkTqmh6XwQS/mm3t2IiXTKXpMirq1c6ndujgT749WVjDHWqJnsao2LNzw6afPDg8OeBQ2ESUmJlYDe8XAwZ2qFERoPI37BfMjnkjUbDKsGQdrFFIybCvoAUQuIWlY5bkltUKgU6dOvX6dnWDxsBAqpI+a9CwranGSbsqksdK5AlLhUUJ9Pj9N88iXzIUm04ZKbbUmIEfIYutEhuiEwelBzPrUg5itoKwqMwxKEyo9OAeQ5kCRm0ZT4pTnS0oVyz4nX5nfg0mEDGKIimn9wpKZRWLZQ2jyR52ShsJtRcdMK2QGU7HWfgVLGhztPQCqQx84yyxfYOznBWpKMBJDTCgG8pacECXq+Y2jX5RI6HIA/JAkZOx5otlvjSKCKDgJ5cFZiagAU/zkPQTMR0U9r1wVD2aSqqAKUGUlCWEOB8BMPxrICjwWId0p7tDVykdy/JePuRBlZ1E0l5qfAJanUd4VKVyaoufNIwjvEEWGiBd441KU42mFScyxlk6Ol078SZaAYq8fqzOd3rp1Gw9j0S1K0xakSMxZsd7f8Lb2BNPsHcxBBj4k+254SeqJGdbqyZCx0Kalh1y//5aqM8/YaEm9pMXQVKqbJeOk4xw6kTbFMmn1tEIit92jlLPTKd6c8/LlSwGU0xWdlgeSEbgeIJ6KIYNW4GUmHG/Nao9MK4QR4MAEYQTJWuXx5KzRuJqatWYlx7MdIik+mS5WUyTAijInoPGfDxk6iG5orHgkIIRD7UXY8DMVqB/3IYt4BgtG8EG27B0wVybvqPStbWlyTIf8A/Vh7BCe4mmQLOSdR02b4NG3eUJOxIVdUTuPO0oJeIOV2VGCw0UJpApOsQTvxDl3PHaK6TlQx88LmyMaSTu9Din0Cq6zFhXqNtKHfaPUZczz5ijs0vCcE4FhyvYNBIVVB/O5vBMaSPxnGr7FluwTGNdv3Pj4o4+wcAMNENHW0atImw4JEx75yL6Dmm8boGYEWJzbi8zK5Gg2tw+MNx0MrOgBEfZZEn8lZhKRU6pbn2hzSi0mISkaKMB/ngTUupbEAkZA5vnz52tra4eHh/itX0YhmU0g0k0abYnxU0p4V+ZsNltdtQuVWU3gkE5vv5xio6ZyDcmpeESTmV55XdK6nzOdQIlp28BANC5KaC80i72QwGg1efQWajsB7ptWPr6cL+Dnx2lXS2h7XpeP5UrHaks6AkQ1BxVHdxb5Q/CS0n0TFfW8oE2Qk/gSBNmTdeWniaGcZORSFMXVBIrsX7RoasEZ0YYNQYU4kXtbWxxCocI+gJp83g43cJCo6Z54hMwMPyG9SJqoJ+0JsIO0ubvnX5HiC0K04AE2fUbKXJEyFKm6JeSGLfuTaJ2SX3DJABYkuMhrgdQI7caBO8bjLScnlUDw6cbNm1iA1EJ432FwvIKapDKksHrR8SNTg2NlGiG2BaXvzelsf7IWSzg+XuicUE3kRCap7oDaU3mn8EMEc3XHr19FJEXLk9JjbFzdR0dHmF0dYdKzsoKH0LveQKeRrwufc+fPv3jxvMmeQEzzGxJk6PLNRz+GXeg1iQ3KEdM+GYFr5mjlJuyNVN0J5LosL4BSTVDzR9E6lIxUIhQZSZtNpq2W8tEcK9Xhm0FYHtAWuYM+ixoQ3FCYHB1PZtjjyRF6f6x8auAG1rP0G8SmaUuQE/hCzt+rcgJGy+oTapMThGnPEwGGm0i5YS4QwIFCxQVjHpvqJ6J+VCJ+OBzTaBcsqRbsJUGqzIXHTzvR68duwPV76je4k4cNEynsZDrFEyl0jPREKkESWd6Hxh39dIlRJBt1aRxSDu9dkVfD3ninSDN+hJiWaa/YcP0A1yqePHnclKVhoh3EMgz0I4Y1OIF+6gDh7badmu68mutqljYapqYA1RkwND+aUzSOh3E+ffr03t4emUvVb0jDP7I++nnV6d3d12gGeF3g6toa1gLFM1K9TzCVNtH2cKksJ0zNrzlDykkn8ql+AcI4NAtIiPTJGgvH2u5WxVZrcd/dA2UiPJxSXSj8Zkmmm1rNnB7cqOF0GCKoD0/xU6Mj+Uym+NURFlxZWZ6sYj+dLHdYpgFNrMayiCWFRb107q8xoFHrJKxaSCQohtR6I/tW+qf94PGlSx/KVP8bopgzA4q6ORlOyaHLZLkujVaBE4lWHD5v0dyElL2KplaHn+/zO2KWjumyVLE1R/QTTEbIkkGNTYG269jqZEcWNMc6OpovL9O9wrYNT1Xj0sWzTz65cPFiLAt1cCMQjaCIKGypEzs0viDh/HIFC0ytTqbH7tFSJTyeRRNbiUx/2GZYMMvHxL87Ivto6quzNvS2t8/s7+/jrvH5C+c31jf29nbPn7/QGaiLAjwNGnxD1wSHT6rNQDXE8xkVHSGv7JcMa0ij0fAp9U03m0ozpx/2GDhc52Q+qvfosIZguY3VIDRl6MwyxTO8fH6hGRHGOFylyjaPDhMsH8OOu43Tv52E+cJNli6nVs5p1KZ0ADQJz5Ikec910O+nlLVEinKmniCjlSRnNqvl0bZZb/hbKfpU+owYWiPDHJBeLP3Q9EahaPmhK7YvGwth4mN1BlCq6sZEmm34RtW61P0YwxOeecccC4s51syxsHADbgntvn6NSxcUDr+CwM3x6R+lHsNiviqEYQuZE7zouWJroiCnmZlHIlk/YHLI8i67BhDS2EQS4apRYY1wx3rOcFgYHYlFoX+wv482gMU/z5zZvnTxEmZaaEH0Z3lHIhazaSrhECb3aHW4XBZJx4dMQvo4oXSkFKONe6y9QxPj4i8OrRnGZk4/6w6nsiV6ZmwYuzY8DyJOKlTVEB1rm+M5PZzpzagw5Zm3/HXuI5UmWBjPMPJLqCStmmY46DQiQdkftBWrX0Jr0PJjLl5n1qQmUoYQevzSK1UyYh4o6mZsWZP2W8spob4FuV0P6lGEH6gkVYhikmZXQn3lUUfYSNvuhBL6j2xtwE32yDGTmuG+gYObiwhPwGtMJXY69DS5KHsfRzO7J2SOdbK0zPf/k/pCDkXTS5cu37t3d3llBa/jjWtZOScx3mCmhJPGIope4o86n8vSZLkQY5VECGrEVL6ZkMZIFU5AFCwLaL+bOqkckZYqwV3CV692cJ8uJdiep1DKQEg6apwyYvPJ4yePcMd8a+vU9vY22gDu3OGiJm7hUZNGoLtMs9RiyJJxfPNcvH16+9Gjh3BWhMV3SUPBRNQCgQwJIND4/Ni0Scfkx4eSGSVBLVMbNqSL/+5OoI1zp9YYOegHpBUHD07RPWo7gmPYKV+jimxFhyvSuKP5kwjJKUhCJelIueUwFeS2MGYgpc9FPU8GNMsvo9maDdBRrmBxjZB7TZapQJR4dZUvYfllYOZvasYk+tSxj9eWVnsZQRof7D8nQg3cbC4zjrGUtBmw+vh7Hfdi8IZdm9H9G1SxwaCLKXPS9l3LJTQN9THOIjLHmk9xHYtZEqbQFXMBuRs3bj54cP/q1Wsd32ESMs8c+ZZyQ5sLYeNMrKiCw3vzJ58WRYmTulVGBZDrLAJIH1qSpOGTkUHIlqZ1a3IFc2trC4to9J5gKQ3qStSdhapgOxYo/fTZM7xe+uKli+tr63iq/fXuLi5lzQ4PcW1pY2NDROW0RA471T4pUVccIjmd4iFIzYnwo0MSZxWxTa4RQFNKyrN7Uuu8KcfOmr0UhpnrEZReLHso9a41teWcGzZCOhwL7a5RoU1Rv8E7yEp3/axe1Teew5IZQef2moBvxSi3HynFHlsERYfh+T8SYKU3tVOiPgkez4iBn/mmGIV2JISo2NJ5tRNN8Ti00ueIcaSzyV4an9nzuNl+dy9qCd154BEQ/KXOE6yaCY2Gk/jZ7mLDZ7+7s8howES/EUS0rC7mWKtwku4VCu2MOY75tavX8Dbo23fuNEcfq0Y1N9RXfiRLY6homrC2Wr4L8quT45PJeou+VwyoZtO29U1yassm7LcHImJNnFCk6ghzXEx3kn/uRvpE0ta1ctKE1FWS0qeffoqnrC5cuKjP3tH9we3tw/V1/JYwsoJDwUxCNYWjHCIpG1OVQwHE+zGPj+gPAStR+y1NtMcJ2wUnNEVQVObKXcpmOkdC3fCoX5B8DM+yn+3Sw004rDeZcgPLcA8Gj0NzeYgKf6lRvWJUAiLPqOiw/4aG5Ny0MO3tOxuQ1sZgbQTf4gN0m7gCaGDL6E3lwMgYB2IiacgQ9Skm5frSqAWDnL8pH5uIv33hN5HmUZB2lqg4Rh3EribVRsO6kJCrjVJTNegGYGNOVMwTBg2wmrYJ820Pm7hWM1HSKYsC1N070qLAqil55v0El+u8TC2VhEjjFHvjxo2HDx5gHwnYQxmNHLjNz37DAd7IEVGjPd/uCf9UMnI9vpoxWsUaDXzVrhJNSHI7BTejZL8rMQKtJqVuKBM8cn769avXuH3mQwlPgfKDWQYXScXZebXz8sWLs+ewTsLNSDF5bvBlIii/SNNpklIctkD0tDNnzmJNigsXej5Nb6ZZ6CaYHYXgyieXiHhaKBLPVX0uPzRBUj54WNr5SJpl6F0dkc6mhimY8bMOZBEetBHgGRVu/BFDfs5guoSl8hpV1doLyh76NaVQ7RMsFxCXKhuyrQzy4oMqaoIcjUDi46h4EYcahdT5TPg4Vi6VpgJX20TSis3cAKfRDJyZQE5gEllN/PFzEElshCthsMFAm8PlosCeLQoynU9hdukIrqaxSkpURoMy1mzgeRUO9XRvE/1jqHO1Ngrt5QLF9NqGjyaYekDrYx0d4fVArc+848kbPPP++PHjK1euNAGZB82xbIycCOrArwg1bRP222rIcb+asxjmO4aeTE5ND7w1GgJx5hkrGgQ5Q/sSgWrjoGnYilAJtS87qbT59d/bZ87gaqI8AG6QmkGvh+NR6fXrXdwT3D6zffPWraQqFi7BD2tbe6H4Le1RurugSfzyUYltwiHciPzkk6eTyYWs0YrqoMBQRzGXoJIEIhjIJMU0k+ou5tvhWHXFrh6WISKSIuyfsMvqb75URnvDsOMEd3y2SsAOlTSjmpofu9gZFX660WJ5xIArVH6CJU2j0Nyk9ytnvylpWhMqZhLZglgwfdxRXYcErQmBxTU9c/qPAePjNA0/t7uGr83nKJthmonEvoRbKrNgo3xbQzSNAjutepuP9hRPpHJ2ScWq5WQq8wuN0yDYLmUkxa6cr7BXGuNNjBxmpQ9WzA4N9hhBsvQ0wWU21wmWU/I8Vs3vCvH8zfHx0bNnn+D+UQaT12glPi6gzKcrKWoBaERSExlbHbK1IaxP9p7Oz9paNwhCLoxiAlzHxKHNk71q1mfCJPcjzSee1CqnmBXjDwDuUJRXBaUoYQLPreOhrs2NjVu3aWqVg8IEq3y3Doq6Ud3RsQuYFnVIwFP+MZYgJ2pHqq0CUXgAh1m5jmPimUPwPPJFxCy55+d2T6t6Eso3DkkVLtjxVQpib6ZoWN2Pz9HNqDhMuOW3dJKf24xvP4vokWhWslSpX7G+TOfR0VfOEqooAKEklJ72gREKSPdtdGIFCqUrKAwQ8cJJ9mFaaCgHuubN+JpDR8FBtXn1sFrDCOKnFLjGg83SNVzxiwAsJRVek8pjZ0hjLGzURR4kX+JAbNUbf9WuTdjvLJaDyoostsAS8Jn2rr2Iqvc8lg8fSdEhbtzgfPxaF26gZudiSsrj3ePD+NHiYAtZ5m/nKNIC8Ehp/1kbzLHFUZqn1KcPhbRuHEkyl3Tx8uXLqIWrV6+KfBNKcQqJ46Pjhw8frq2v3bzpbghWQilVQw88Q6KGuAQ9LCpQiopo+Xh9DKsXlPIEMrHg34PLNKt9BlCkLYWCH/keeaEjZJxvjy0UV7+lVTRuNcNvVWnpNZ6W1+K83P9fJO2MClHBQ+rYTxc+o6qPuxfhFWqYRNKcSg0IcmTThM2o+26ooak28uqgGlJEEf+xRYiZ4aoBoJrQjyBSsj3zhKIqqyFNqHEvh8TpMMpSlAUk8MdrMEZY0xgK7GhAVqkCbVGKRaksJd8vLw4qBlMmaat+EAtqWP1oxVomWAwYBq6TAQiPxUmex0pex+KYGjuwiLM7Fm5YWVleX5dfk8WU4+PY+cxxSg15YXgyupJt51JyZFqjrXmqu/nkGHC9NjorW1Ugd2CVMadE+HxPjbTYfQIUXExqrjhqWEEwjmR8jKtfmFpBEC9E8ruw2hAmpu8wP2ZLARSWtVQl+OqhGqhLbG5u4WkzPBNG4hVQbMdAk8/wLXadkThXhNMSBqP1y91XL7WHFAetfbEBRsqEoJArWrbJtVLxBdQgVZdf0EiXSyFu7PetwYbBBWZgwXT+uR+ZwPl/Ol+ezr3LQwu0bKFbo2kF/W9L0Srbb5YJDnytZLoonewKSZgoU9qjaUpsohdUkVxkstch2ijZwH/iiq/OFlXBtPpeNPJKIIjNlNtvsKRhqmIlMGVnLTQybEH7d4calD9sFTI2qsOWSgxIAJzqbgCCVScH7ZWUDs4mLDMnC5Uo75BF9wpnR8crwTPvwGeHeWfBcM3j7t17eOC9cNvXuso6gbZFqftGeKiLJxHcnIewIJOUcnZIADfXMmhOLpPy0IVPJygStmcsourQKBVCubIMlcnm1qlX/Ki7L2BZJX6spGL4pcLJfH7t2rV83VFYZQDAgEBUOa79u5Johh4qn0ICS68dHhwEAgzFrEyIdMjCcSeGlhQ52knR4+OqiSLPVLJQUsoNoExVfkqLCiBMZ8Ez20xKbTXyRTvoiQ2ZZIbiGfvslWRGjFQyibPQTMyoEB/TVKlzLS/Vvm11obwseF3c7QTLarnvdv2oLpxqI9WKFdWjhyyDipfRAE9ntGpo103rN3LFByaqSSHHoq7ntVoW+YYBmyHo9qjzN/wyrvFAasdPGmXyY26rFRmEB1LzrURQ3I8QOZOtMRS7vmIzHUE1BRI5CAU92Bs9gF874Akg2VWinOUftd3/SpBKZyEEqFDXvtJS6VxQ1A3kjvA636pn3qc3bt748K8/fPe9d1U9SgCt+yk1wjCHFERuq3rCQQZVRU3le5BLk/kx/+S6JzE/WAwLYh4UkeIGSpm6MVXdZRsQQ3WoxHPnzj548ECX4lRzSFBL4B4eNYlPnj7d29+7du26e5qKiSpZirMNqzgjsGa48G30SDN6p4YKnrt4LQ+eczebIyIpOBj5aCVrv0Vd0WrVknKWikFjGcTW1L0t9QObhJEKNEVe88oIc3YRlAtN6LgSWMXWuv028IKUxPMzjV/iXYkZDdgjbRjj6Id+ZkZFt/zQoZ1DI1kZD0bixYGnZIZpfoLlx9uwSmR14eufRCOo6LALKsv20EdkclduwkZDjQ34YoL3XrKSqWjUCVfKUs2absW4ljS9JiaeN9QZNlKV9jth+sJMlIIqjG0w7bcvWpfuQxgLE9BSWIlAETPPrhzS3s9lgUaGp8bJCCourj/G6N2KBQHdlJkmtMg9j1W8bIlGdPvO7fv37uE2k+pGCRORVmaRGs/MNI8Y4j/NpWj55GaUVbI1sTY5nM1pESyAZKCa8YhQYwFzvYGkKMByGu1HUnRp2KnS58Wkc8IMwVBECktb7b5+dfHS5YsXLxJLOM9cJZqxS1QWbB2JBbrRQRcoOh2gA5IXQKGYJALjlUamOhwqK9FJmCmDgYQnoGhItMbW00slBYDxh4FZ7QbVKobGPeelaMlxGaFcCp8daBwAVDx+62dE6C+j+Y/3jCrmz8c28MlCZOYnWKTRGr0krB9SIOBQcOwfpP1QPVODARTLnOTlWGE1wfnhkaqGiUAoOAjluh9Rl9Fuo6FFLNE5MZVqtaXhT5tu1ffUWqA8SUra+bTJVkOcwC5zDoxQ6g67MQMm9wuNphhREP+WnNBW8nV0WIpmDLbpd1DLiFLA7G1Hy5vglZkmWnvtDNexcK+Q1nl3Sk2zuMBwprhwg1HJzmaoPDg1Wbo5s8hHS28bsnymAf+N6fH+ZFVCLia6oYl5rTLCxn9DpxuUzzFMC1wNGtbLwKoZ+qh7CENHILezs/P80+fnsbDVrdsiEESkqZPPMT0iaFN56WJJ2kduChaeAot/c5xhc62BTSgUjsqSRUZUqOoIvn+YUBQJLiB2qumJmjyWTJV7oq1Jp0/haRWPBSxb0rRQyOsAZERjDT1mNKqv/HSJQprcHAj9yUAv9SMY/MyPZ1TYZzWTcP+pZUYTLI4G4lBs9NZHjYzGUEqiQys+4HsgohKN+A2ENQ4JCmwMg5NuQnufLrdqVMdSVY20hngYxSyHkLHGZZi1Vmc8gU6WpKoozqGaHI3Z4YE4sF3YyBKMmbFJkyDnQ/peOFqTdK+Qn8cqz7Fwiwo3Up89e1ZeEBLMaMwIh19pLNkmk6GIlm6wunu3Odl9Mg8WmMDphs4NaRKmo5nWICekjCjFWkBqx8aMeza7SMwIYYKLtc6tBoJLbUHYgg1+6fn8+afb22ew/j7lZ910ABUpOYlWjv9FPI6njGnUTBE9DmDUZHP3ECJorZZR3BQ0w41ZSZpoWqoRz4iPO7TMRiEm9n1izpBLee2W6dqm6SSQsrzGaRgGjZmZEAXWyGCQQU0Vsyi3GJUc0/KeIklOsFCsGcDIgZFLlCwki6oSwNLfB1vABAtoYXQMtPRl650cBZKhVpZKpVign9QxFALB4IC5OikF0UQg3e8gh5XLT1lBFWKjEt4ZERqC+O6e8yCl3CGPOY15GYU7hfNUU5roQG6sFmxNJqMmmbT3KErSy7AQ8o2CJFYoVXtUiQaL1iyzteyi7xFnf5VzrDNnzjx5/BgrVZ46teX7LO1XchBcfIpzD+uHD5FLS10V4ZKqq5P5UWMFEfQp09d0mCMu+M+TCc2sNNfmZ5JYMlNOWuBmzl6+EDMGRUxwMYvC0utUyGFB5sHBAZboxG888RJJ1eWEdE9yb9DGhtLEcrjcGmw3YwKWrdHIhHdtde1oNltZxXXHqq0UtCoAFrINAkQlqWGsx4gkHTEUsO+RQP2hI2ObAQ8OfOol5LDdtuEqGlcokWvTyJdbrFzQaEZFYycm6NIWcAPYzqgE1TNObrBjUOFsryykEBZIMJxEfOxKeqaslz3VIzW5gmVPnEKWHMJ/8ct6Z78j/bZDILZrtktYMwLHNDXpmjPj1INZ0ML3MDA0RGmL0pKMHTobmS1tuafRnmopDl57IFRFRqKqQlOYybxBaMqG24M7wytdy9zLSLJoZCpyo6RPRmSe2Tocab4sI4KRuJOklPMyzO91VDnHunz5yr3795aXl3BS186mCRtkmWOlpgu9uAEOfafTYEcPyeJEzvGVIFMouavhm3qiRzomVW9LQMpoMXr2GGAyRJhaF3DrNm7RYskMM8GaTGaz2dMnT1bX1q5fv2FFfGQ+9XYnlvq1B4WNoJNoyNSBwBJGTqnhZtDwcmu8wOf8eX3OnWy2bsKtrnlQewDdZHhhSPJdFQjPVgYZAQ0aWewNpeFlCHKTiJaim6ETZHtBI7igrOOBdQ1EcY1KuhpBoP0t4TmqenBmwa2WGaQbW0QuZh4fG3EOYqT6Ng5lgmV9zJAdQCyNmM71zEiX4KrTpGtirC4YrUgeqJdMjilU3guP+qf954wgqHZzmaOl6okWJalNu8HSssu3hyKYVa//7gHn2gPMiL7su52N6zkOkOQGLPpEW1pwD599CgCpO7X4Stl0MMfiU5GIGpKWMS6W4IH3a9ev48cBWSz2cERuiFcbGvU8bLYZ4Ns03WaQy2jSqgquxUVcDX1Oe/7IT+E1rSI9lZlMLl689OTJY6ytj6kVOFwtrb/AHKXKqF83YxA7IcfZwRDF7KY0Y0uUMynQ3bcGN0wW8cvH7kCkYfg0PeUI2/5G7aGVqnUNzYl8tYf9eHn6TW5JSLZKJCU+vFfOSgZSmk7C1GQqQj80c40KkypuE7RgusyoKj0tU7TNI2hvGoicrkjHpYJlTstU2BgYQr3wKEbrfxw+gzVKmFJkClEKPcMRhUbkeW+SoVjKRr88ga/Tle5He5+NdGF6H3ftAud11nypLix9PU2DMzbACHPT/CTYNtwqXEoMZhKDg5DDFIKWphTR3kn4TSOEUt0wu+dRLZrHVS0RW/rvOcY/kVOBgQmMkiP0VNuK8bvC5aPjk2UMldmfTMDi9Rs3Pv7oozvvvKNjdNILLg3qNClWmcme2vMKdz9XLzxO+C0jXDA3YYG4ZQJH55vET0oTIC5LbGcAWcyE2IRD5H3GDsu28QYaFov63nfvzg5nV65edesv+IrJNFshp3LmPK1ADATcH1zSiA1EIOapd04KHnuKXxFietcZIVIAM84xzjI+U4/kWg8NgODVhK4FkZnEcdMIE8UgwmU04cNoVrGsUCx1aASWixYaEOhyBUGE/hjnGZXc0/PxbZ1SU8+i+Qr5tNWvrYUUd9Flz3hixY2auHlm/XRYEpzePQ1JSltrZGcywgnWwNBYGyF1kxvxgow4HAqHRxZwtG8f3k+HBqR6aC+kRZLpovabv+2H4EiRUx55ciqSTjBnaBvmlrry6w3szEm9ueN+KeUYqQtB3nvJSGiMQxrc8ca3/LRYzJMpl6LASmgNBb4CCAFfJMkONTBiO2G0qtMnkQk5c1uQPwsM02Pzu0JeRSrJHq8hWVrC0qOPHtlaXfQAACAASURBVD7EdayMiGaP4SqCxRsFVtJ25E2Gem1yfMxrNCiJdIKdR9e2YFaqmWNLWr71MhuPGoYbW6F2w8dJwmlYRSOn5/h5wcH+3ud+6qdfvnjRYXZlodnHcm+lIHM0nA5SScImYmM1YhOiyclxpwkWRZlUyS0JLu2FMDsiSetOr2/xlCyRkaGApC9YgsaAvUEdnzEqooGWnFHxc1QUjLbNwo1SERbMRM8dpljYAFMZJGNhCrepSFOttm+SQsO1Qu3IeE9aLZsB9SdYyCogl/B8NQzmhO3A2LkUtK9VQueyTsIOraxGJx4EnGPBO1JkFdQQnXrrrkmVjTgy2VQvAOpgPqIc2FN9UOSLvd20NAvTOJjjmESBhQq1IWjx1CyFterVcYOLbRtUYAor0VPGB4/VASiaqB1jfd5EWY4pykK8gnNwrzCw4w5wQ2d7e/vRo0eFtQOMtB3NNGwOJZGifojNNAukoN4IFhyLx00Pam16sDcp3b70ZIEd33xk+75IW1oGDUgRU0GjZJtae7n4+OmzZ3t7exewsNVF+l3kzsuXeABrtfphcM8MUTKhY84myCa8SlgTnmoyKYq25SVFOmXSDwnLaFQKSGFom0CKr5SV20k9N0Uj243WWMBhAtKamSXrOr5lZwu4URHDDnbWzqgsP/yNtSSLN3XuEo6fC9cozlo4chZG1HEdMSBQXUEqCTQGa+u1YRxsnJyzmkoJTv0JVkFXQaIEMKFFTJWmSfQAi7C9QzHjZWSSeaMUTfznGGA3l+vSxJUrp7p6MoY7ZedZJmGENIWZi5WqJpJafmZt+HydQrqSv1g1tq2OfNsjNjIuO22HBQdkrEbF04ndcqEw0386NnncOJBXH+mSUXG2P5ol6myALTVq7C1hfOsAYjOdfEuqZo516vTp45MTnP7PX6h5MDmexxADJmyomMiaSmt66DMmx/KVsTk5elVzBcsimjBZQITRBc7KuG/mbBsH0wzbhOi2gDi4UgpLW7148RwPtlOEbaxwf/DB/fuFRV8TiOSaGTQc2ZKTCYxsVrEuslqpAmJE/KghG5420Ebc5KaUU3nGRQeXEqrO05qFRjp4to4seyuWa83szihNxadUDYiGbp9Mp5EDbQR3/fxpAGVWo5FwaZO6o7q1YSlJF8tkdiUNhWgPRXS1WaaXq0cly2EkOprDCW7FjciGMnrEwvwXZogiR2EederaqwhqoGcitsy2KV70z20khniadTlx1395hd9y7SQWmmqyTJpjznISYb5GSMeXSpgmdm/FJlQxB3akobCUWH1Ttj1iQfNL2aexl6kSXWknMsjHfYRANfyehf5JoJH1FCsGzRbwIEAiToJaNGVQUR6RYWt3mGOtzo6OVkprkGLhhsePH2EdplOnTrXgghgCzHtmytyHUIVuxtn16e7T+XYLn2Zx41IWiQhtCTXzlvAy+yaEy+H68HqAK6lK7e7uYua6fWb7ll01FHYRParn6XR9YwMC+NldGivg7MXZJy2RzwQwDVvINfXY31/pe4eHh5KAj2RtfHoA9aNQcClbJNyCPkiQDGvikNVNFhhnyd3izD6pnMrMR8+bUUGRhj48G9FyrVfpjVMdFs4MBZUR0yYt8lYrqMtRWks/eloLPiEZ8LwGJ1NX7SSSoL2vZeXDPDWQSNRLJpSbWQ7OpahpYiFgc4KEji1CuAoP1hhwK9y0NTinFZoqIdxExf4d3woQKlccjYVomwed0NOY6dwiRagIblGqrdAzbOLIGtxJjS6JsJjpsHLoKRq5xtcovVhRYZ0B84aZtLYSpo14Z+W5aIQQCkOs8746m+HJdwz8yjlKXLlCF1Rwj3VjY8MVBbFmXSU9YgSZVfO0tDRZpnNH541uOtC43yDfA4uNs15Hf7G01dOnTzc21m/euhV5YEI4n+Ne4b27d80Ei/C520Baqon3VZzz1RqZrjvs5G/QqLk3ztfW1tzYre50DGCeqg1Jf0DuWRxw25ypvdBMxWLnrbeXaP2OBQdmJ7QeFV6MbPjVzKiyRNnJZnfLyhcLbACpyyX8pbDyuUAiy/uWGNs6GIWh0uMKBsEW4+KrCCNN8qRh1CQpEyxOk7ggyp6Oe2zcHnvoZVXgAE2jKPi8WXbwp/m8uRUqfitUUaq6EIQyTnOLiYdC2+6r8d+KoHhk/NKQMxXcpn8rlKzRpHWvgYicNPO6PmKRM98ASQ4IGXE/O8mVu6Agau9kJZKGMSad1vSx/XSmAfoi9Wl62Kd8HWs+x6Pudz/+GDetsD4WIxvaaSsDIpgEpLEsrJL55DgpGWRKf5QsDjKNeG5UHC+IAh4yDJjYA7wQ89Gjh+tr6zfz73xkT7Gb49ohXjuIF+OYMbxbE7Em9buCnsq2JNL+2j5pQg2MBGO/TpwVp+LyBqU6AEbNgDkH6ubMK33XHAwix70eCD1rxLtGBe4Am6NP8jWqnoCxM+P46KNyPHXwM/icmWgivmImLQhj1Yj6mwa0vEVMhZPUaILVz6Uk3JBM0LbMPRiQwztBzSDu5b/NZDJg3LSDvumdcpIaJRcCoJJgbVkZkEpDjnIU5llb6Vxb2uM7C5gssOO2GDK85TTZw3adSpKIp9pWTqIhb8qgP+NqND1DmSTBlKs4o5jJ5utY9l6hfw4Uvkwbl1s++vDDz7z7bgYjzLZ3u8LcAUdg4p0/ps0n3FO0i/ZGjiF3qWyl4EGFx48eYcTzF2QneuKUkLfRRjaS22fO3L378blz58ZpNQLuR6kYnZZCxpEB3NIbqU9KQFrMDygmfKjTf940YTMy3+Jm6HJGtDJbaoSaQPm+Ia5RHRu+aF/4he98Of1Xby1gJT8rJm3Ggtvcqm8/XLadcJuHdi9A36oC+lZ8ga5pv4qZILcNNVMBtwINrqMK2TqR1uYJ58X/AI864/QNTaRaKUbM/ENqW9IhJddE3Ih0Q/Zxw3R2WA7F6o+ojuWqrIEOmYZHFbCLIJjoX+GcxAjUjdsjD8ut9/WioMkYJJkUXfyPeaMXdI57ZCU4TD1RHghUHHDPFFaz1eWV2fFx/nksXD/GHAv3CrFEVgU0xs9gSlSj0iJjAfH+wpP5jKYm2Ey0+43Xo1aIZeNPBMUjrHaBJULwY0x6mIFsMnNOmdNMojOQKm7OPnr44Nr1qoCLrfKeOrINY1kyLqUOJnn8xYRd+EbsfhKKEQHBWtq5IMs+dq/22JxtfcBa1axc4wyemFGZF8xkMYICJTl8EkO4nSJmIkNqrOraCEHJpoAj1bIGEMY1bY1VfZOiklN6puFwl6mCkR9k1onWSOGE6J9GwBJbrEgzKXht+cfFiz3GH464tdhmA9xo5KG98ie+oJ6kLcJtqPXlSSP16k7SEqNaEdDRoJ2R3imfixdpxUOwfRHNr0nUKKIRon0Wm6KDSde8UtF2ghzi7RRVJEqQ3ZEGFEGucCeigEPqoI5rGIvWZ95xLxGvc3mIxbGuXWtCJ3LaA55QSmdZ3nBgfXpwMDldE/M0lIz9ubLh+V5jwLLse7t7mJKuruLugQt8pRE8sbSxsfnixYuzZ84M8VfNYTykBy2qmqIOiRUtvAqQGl/tYx51gOpXmLDDoOZKOx+x9zEg9SWKTedqVV6SoLFQrlERHpGnl/rpGT+Srj8cTCxtqhlGP6dTOIShr542WZtr67m2XrQGc6xNPsvlZHxy8gyWn9MnDXNsUf4Q8x6vwx9oMpvp3eSodfWhVNCpa2ZitfIMPzbFAvtEkcTIRCqkYo78c2gC4A1khbRo4gqj9F++qK2O160YtQIQj2kf4xoNflJKW0SR88IdGrkImVgbJc6ra1UhHg3Gcc6w45Y4UojZADkgqZZRovWZd/yWEDF8/umnWFighnsLwyyEtBguFuZmTw5tTGf1i2AlLZiWGJS5Sg6yux6YmE8//fQZ3pl9+dIlvNuxK4Yvjzg/eHB/a3MTy5LJ2dcv7ZrGBMu0f4mn3wlNWuNgGkxFR2EWTcAGuYOD/ZXiy5cCjQrAQN4dCHN3bFIC2MjunWH6kpwLqYdl7DYM8NIJbsFVWowKP/D3G6X23IZu3wyt1r4AqsduitPG5WrHFSNIDFQPsOhAK4IG8CJ4udQBW7nAa1fsUq3XcpwoUoBDh2xuKMIfInjmfJk+2JkU0UAbq21mga1FHaBd6YdsCL9ovyjjtbh+13I6ljc6m92YNzUZuWaCRHLL5SeFazJbAJmQhpZ48wUq2RM+06XWQR/bWmsMd5GhuKQ3ww/N9AQ/uDFEm6JEmrqQ4U2dk0IvjIU96Q7bAD7uxleJGhFnGxQR/uRD0+SCZ95Xjo5xra9ZJDl4+Prg8BALN+QE4vwW6y7gnqLXYrxcSW5MDg/mG1RTY24IVA9AqIRa0+nOzqu7d+/iat+tW7fw6pvhHK9du/6Qn9/i2hyI559yMP+ma7oG0VTTsBZuQCxmSBaLfuHBsjCv7UgAlSSJp8HbgBrlAWajtD6DxwcaK3hL6mFGdTI9OlkyH7iwdLKiHzylHmu1dJlYvOJ4WLU2DIjTyHbtpyHTP2OkqgFJGdILVdOJpO910vH0FSwyj1bbaLeAy17RxQAI+ZFrbRgg8ydSxMpjNnJjXYTbWss+uOXtuaJybz5hmPlktMnYCyUSdcu7hWOlWAtKWIx2TJ2qfVPq1OpJgbTQpsUDp89ofqW4op4pGGKWPdVFTQYgUCZqtI2A6REKnnn38jWJx4kePngQL9ygxZkEhhlTN8FXI+gZdc1emR7N8JwvuU/1rfmDEwKVr24yJ0bUqCYof/f16+fPn2P5e0ytDJl81QSaRjr9hfq9evXK40e4M2teW5SnGCNAkjf+xs4ecyZRoMaDbRGRTGFmTyhMKLVjxhxGpJhtfeRSeJo3tuMSSXPeXUJb969RYXnPAXf9UpFUP/okxgM07acPibzOsKqRKjCj+UL42V5D/cb/i2WygmctsUWegYNsUX5wGLVqauxB+QgH9Zjc6cii42CGaZchhOLjEWgOgLC8jaeWnLQn8sbmDLAxpqpP54SakgzQlI3/g+kO6+Y+OeO0DaQfA4657mCSNkc9geJrj37qIeP18yHzh48JuDAXBCGp7FOei0i/fescixdu+OjGzVvFU6aNOzuAQWakE7l1m7yGCXtY7SoU8jq84r+DIkEjnA+yXdpqI7H+AmuhIl2bc+C1KazsgEXIXr58icuHwica2RXIRtxIWaPsgdupuE2MQdJi2W+5AKzRm9CLCCWS0gmtXPNbykVW9kDR6Pep8aYNk2NQh2J6d/24qjFW4sWn7Y//ZnkFBUJy2HCZAAyy+GC4ieEIykorXHPqEq6lFORH4qm2aFY3n+NXhPmLUhEb27Cj7Dd6qB0xIkOHUVaCF6aSozXxBHw5K0ndcuZve4BTxKDBN8mjz4ABQqyGpmI2+Ytd2OIlYm9zq7WO29r2pEKDsmkn4gL4d++06EK5k1n/eORoULfnWjBUyZV6z3t4V3ChdY518+atDz/68DPvfMbYVfLEWFjz3ncAjpOYn1WgkCiCpnxsGUF17UHawAXEHso3yPGtYeuDNZT+xksDnz59srq6hndj62jbFCXM8I/dpkw5B6/TefDgAaZZvFYnQsiOu2CCPGVRrmsyfFTG9UqlrRGQlzkkKTh07iFoHJlI+/gmKxgD/fKmfSpFjYu/Vr0p1imnbDEBhcfS56aZUOkUj+/TgukeDpLkuampBETXrAG9psWUtqLhJoYjFLgqT5GJDguKzSLLc2CvVGDqj9PpipwtNDdOeM0jLoqO6yUjxeiQGqDpd5IMygMrwUEgljvAiIafzCx8U+KagMkE20SW4ZYvWTB5MNZN7/natqclNuH7Z/OGfGcNpaKXMCTjlxRQCPn/WH81evYKJ05PqluSuQtjUeQ2IBHp1xygO2TESdEvzbGoc01xwebBwwfXZR2BSvLMc1hI/WZLvDG21Q+UoixnaAw9NC4a3+237b3leRse9n/y5AlUr169VryMZ9HZzpA+hDuzH9/9+M7tO0yZkGg8Z3ievhhDA78QBZ2+DIQSdanrg8ODldVVYcsjvgm7Dbr9rjMp/tZXehLVkokKKbBRFgjTNSoERkrou/0VNFQ/DGQ6uza0BvqbyciGa6HExhqUFEcTY9A2VaSYw2qi8QxWsyFVGOhPxm/RYlr36T9re/GrcKGXCPUv7nzSzZRbM0HwmtvL1vhKQewtOftdZS458FRp5oW4LbWy0MhbIOladvyyufY730BbLVmIxncesyGazPBcYPLEfShmw9ACMDHHWpnNeH0s/K3iNQH2Alduzp49h+excMewQ2xpWtDzqu3a5Hg2X214TueyHCa3fGn+RNp+hG+JNc3bUjxxaRxXrbDHbwTtj1KbjNI5sJc9zzU0hLSGHdM4zLEePXrEy2QY5vJVj9kwksgw0xcuKQUooRpkWf6UeXhwuE4/hJSBcQiqMyEDQG/fMyQoG/VOD1Hx9BVe4Jtfk7yMLttjczyhzB2nB8hwFaHRjjPuuMT+9q4jx1bjpglXNjilmMN853ceZ5pVPUclk1WxrZCaJoTUoiaamqaoINHUacvpD4b+pbQVhYYdnBW1IDKvclF+xWEWs0I3IQI4GsYl9paW/U7Iv8GsmEWiLdkxzASFNCTy1TQToFa39/0+wqyrJowl2kQck5QLKB3Wn61X3vcImNx8DCRF/xi/K5wdHa/g5+Rx9aH01NbW8dHRi+qFGwQY4UjOXYzZ/Nf6dG9vQufp5kaY0ngMTfrCfz4yWU2tcg5Vm1fxwH/27Nne/t6Vy1fkVl1ZPVlqTrfaSDyhKPSWtP3GEhXrdItQH8ZSVXcKT9WRinVKwCr4uMZcoUz8vSbteE8m+NnplStXJKdf1efs23j2nLILbHJGNcFzVNJ8rG3fI5uX/fZrE0JaR5rOar7dAteEOlV+ibT4ThJe80gojGYwgV2V5XyvEo+Exrhf5rcapPlDw5qfj2bIH2Lb0iStqChEfIcetthmeOtD5IChXkIYj3rJSjkGlr2cWFzYMS7Ag2GtJbYMNGsmLsocRxFquknDGr3EG7jahoQ36BsHmloZa142AaY2WQorVVKRl4YUFwL+hnlN9LvHtJ0o2U1zzehKI6JCrjCJu+xN98UapCtHR5i/JBHswg2vkqW5TDRPRC1XmsvfnBwfzN0Ei6mb1gMVbjXUYKTt92k6KcMU0PkcbwbEklRYCezWzVu9Z1cKL5iAlehLIJCpH5WMEhcuXMA7DXd2Xkb5OIT7nQPaRPFyhAwych3KJ08EmEPSBVzw0xupqB3C7F77HrU4aTHj/NwxrOMVNFg64Xhphv186RgIsnTCMtZQwPPKczO7Eh9zOIV8jYOfoEffuddLSKWoAPJWi6iaRt5odKL2lIYdZjDXStO2FpA7YIJlexL1Cg2OtI5ug5nVMSMJe5kL94AQ8BPufnWBNvtgBjSF9vloZjohcKqQFlpYrtYAhd+SsCdDOqfzqGXNC1d79Ea+LSclF1lF5PVjiqjp8P9ubSgCbh4SKlV0vGGIR8OIc6uPqQMTrI8s9Afwp5obfQMm/qBP1oQh75VyFYTNp0mI18fKzrFw6+rlzg5WkmwqFnIQNT+UBUkpQvRXp3sHc3qURxTZC8Nf1bvCqmIugQWc8FpALG2FNwniMfOcWGu+0Hbk0Uy59qUuWtVVAHOsw8NZeo7FQhIclZeEP8WJiloPwZNpm9bvXLBtrIywv7/fXBIM1QStJNUyWqGUEDOYaDwyo5L1qHAHEAQwo1o+WZV5FWZUSWSpHXU5KdM1E/GkaRao8jAlJlr3Xa38mMuPPh+S3jQ6bCKMXGvN/HQDCuSkHaXOI3L+Jh+oYXTa/JbTSbGfMLPHPXTiqf0XtJmG7OuAfd4ERpv9lqMF7G0NgLpXjUyfYk9blVVPuUq+Rig0nQqPoMC2fqgKuBaYPdVCiMKHWk01LN6ADHN2LrBFF/q6Cqin2beqogrwD2EcA402Ia+Ioo9Pjw1zrOX8GqRYpenR48d49LsTsjBpVr+tAPHCdGM0neXJMjp2qwsQgO+dmCSFd3d37929i4ust2/fOX36NGTqYdkFIqE8hHZEnqkmjZcyL168mJtjQQ2Y2NQuH01QNbiCK+nKve8C0yaynOjWhHDxD5PCpNEk1aRkfabFxIzKLe+JxT35yXS7wie9MrnihGititd+bdqS/t+EyQ8tcFdN42gVoFg4lPdplB+3XD4F1J7JOpJfEKw5owmZ6BRmGYYPufv9D5WGQ6k6lkZywNZRO0O3jYDvAGTVKMZhOdKcNiQur5GukakyxkLGAXQvaXBKw5gZ11o9r6RkhgydxV3oOdWYQiXx/MwAwi8YkKaQ1uHK/MaIi5u8l2REoWdbjVDCwzzVJIVQmY74rA9ZaVAER32AHhik0+GIW+F9hTCEe2cff/zxnTt3uo5x0JV11rjGiDLTlh3vrQ8nk9oJHPxn9wN1C9P+zUtbPcGrAPGKa1+6ACvRh7CYrDcsknWN1XHBHAvP2k8mO1ja1OV6KcD6EeBhpoVUqwvUqmr7laHCI4TMij1yYZKpUlYLv1ArOsK6CXM0D2r2whKTFyzvifQQ1MCIAnWtrAAlPJDOAkDqAijyRhgcqsVQKXsUyUuF+pmSk9V/uwWoQM/9sbjUtPx2WyGxJGb4wiM/6oCPDpMGSzKlsiSYzaxpq94ZhOyIrd4WjeWh+taBmu+oWQcOoObeJJUauiTT4MQTEakJKpP/Xc+lSeth202K9MnMtSyZUXkuGPCGx2mjY48CbLbDbICrQM9yFDvbgGIHbH7aj365hbUbcAf2+vXrD3XhhrwB058pkhAiF3DHJDlmRRhLkw7XYMR92OoUBzzh9OjxI/zk7cbNm0lFZFJ3Ns3ANDKuhYhst0Mg5BpsDgg/Y3z85DFK83Msim8uAuSF3Ugu0edtcfgtwpVscfnq3LlzIUDiqBOm6MMvPDvlsOilfukF0yupOqi2VA+2OUitBTOU8ug0yrAKi8ITCY2A5rTyyQksMH8xJwIzhW0NLAkke3zC42QF8a8ItT4TWsUsrSIj1VpTRbRsoRl7bblYsW53sJkWTedaY6N8c4BdsKwDIfYb4BEabDuKCNHYBRXjBhWiCliG/saIhNuwa8phbgGwdM4W6z64n67hFsn0Um8NmW3igTHblpBp/dAxoBWRkXIn18BMx4PCHAtPf2PhBlocy77XBdjGC9uYQNw4G0YS7ao8x8K1iePqK1jqE2yVYVUSTylhEQQc3rgerxrKLqggV0YbWyddnZIqNXGq08LvGYVzbo4FGIoA14J6IYbqWlCWB9RrqO7t7eXuDzahyxGga1RY4VM7A+bl0fKeTUTOKcNmlNqze8NqRcCGgDhj3CnQYqko7CBOpntKqRJsUb1cClWffBHpx6vQBTN3rhkc7fAWYVf3KfCtwa8H5WqSuqLur8jJE009LEnihUAaTcXtBlEnbX0wRuSL96HZ8CjG9r2Py/oft7UWjxN1ZnYF1oyaPQM27GtgGyVvO4OHJBNLcg4u0DnQemTotYWl0otsnXlhrYRyYjKqSleQCmC0IZAUhQXNsXjtBnoiyjnAqc2tzdnskK5bnD8XeBELRnp0yDWWvZ20OcVrnk8l1NqyyrDQRnU+fvQIEywsJYAHlXCIj2zCOsmdYDtdHkuiWEP6DanKGaGoXL12FYu8Qyl6lTJ3CIMKTK6obGzVeqeEONToZA4Dd1rX19fc6O5KSimCRWSxx/Ke3kv9cIzf97m6KWEkygxboCQK+2e1wmpbEhuQbyWApgVhOyA0+lhfsmoXlDRdCaZeFBRVphLz7YjZ2EqQR+TQb4Il8exRIxFzP/jAZNhgahXJ9z9E31xewIrekQPgJz5kiUrkssVvvkAIydBFwy+3NJqIdKQyvDE0DPbhQKMwbaJrnAmRE7C11zNCoOgIEbPxi0qqD4W79QFtCf294wm7zhbNsegxv6613IJOazfMjo5WZI7lagLmcBELl1Ww9NHpU/RgeKetEISNyf5uZhGsVhMMmz6pPH36FFdZsHonlhoXnGykGgULii2xjf80KLmIO7P379+His6xUNvNCu8KWzLplcFQju0nn3zCy6J60sUkL5hOa6bz+D2d4C/lE7zYO4x7eFTESxSKNhFOFPbPAprpAxbDdvD+hsRx4Izef00QzCnMMm58+y7UhEthgeTLK07DwlvLiBvVGETqfzSB4Oinh2VqEvaj6groR15LByV86LHQ1QGvcdD9Jvmk6WpxSSituohcDCKuHsgNcYWHXrQvGrbw6bwR7CK2Ai6KxBknw+ThQjT4Nok5FSrrt1KDRCrctxoOqHBVYJwUTyiCFk18wBFt8AfnpN/93f8FL7mTnFH2qGuyPMZGjsg2mWN2tXp0tET3YeOawMINr3Ze4QJGD5tAkz8CIt31yfGhtwhWVNp6iBCbEHCwYQKX2fDymdPbp2/fub26tmp8sBWjNeQSKRvcj7h5pkp750nzaqk17hbSpHBb8/jk+NGjh3FNhAwsbJg7+MjCBm0M4cVPL3X5q6QRzKj4t360GBU+kME1quU5lk7g1RMmNLsaqeUG9g1h5BWqu1wU4LkDqRMf2JX1ShEL/tPLdLteIEklIGML6owPqY9zkQaAj2p3oqUgUFOcZqIW9A3IDW5nhQlW5HjkDWIFgebGbYnqwg8mxHy0ptY4OaPYUOqaUHIp/EYQfKFGoUK1JHorhrgyznq1wbgy3Mo+XYkhSsXRSHwblggX9cB7cUZbvPKXcZGFanekIrCk0brWKKSbn6QttP5kPjK5OakPJMaYGCfFExyltw8++PN//I/+h//wZ3/2rW99My3RN1fG6E7aoRdGlRyRDT5Np7w+1nHyHMjvdXnYdeEGMZOcYy1PZ0fRQ+7NqkrmuBGKKgUmdl7tYP0FTKpu3749ZGkrjSfqtWUypKJdElRr2gvk1G33BGMnttTGp5PzvOGHnIeHh2Uj0icUi7ws9AAAIABJREFUuCxcXwq2JEwBnmBufbB/gEVo6cDb8BAVzahoAYUZ9ijBjMpMp05oeU9P1iQNKsM2S/vncPSkl/YA4d4hPZ21XV1Q90B1UEvLtMYe5gieN5pm9dDPq4Aj+cIrPkNKKec1qkoEB6ISqJyOmmsmciqLyh/czqK263tU5Ez1yd06jhW3qf41AlxwqN18umU1at2NjZywla1VHmEm1CKcSCEqfTOHdoSlfmY8IVqy4dt8OgW3E3NpiJ1UcsLigxnkaEzizbowoqEUgagy5TAlmM4DSxpDTSWID7RHDkNpTeCofcMA981vfvOf/e4/xctYkP7aH/zrcS9iMSu6JV/YUMofqhVsoRdZPXpfYWp9LDTIW7du36V1pMpmQ2SpBmoCNm4uZ0k4uX2oao68DqKe2MqYYmmrB/fv43GrW7dvy9JWSYwemSDczdMKG8yfYAnZ6xYamwgD63neunULF0FfvHgRFcWHjNapZmKE3DHfMcQ9YjwcBhGaUfHVKXuNip6jMpMqXjA9BxPli8ujE5aGQbAVjRRi8oGwbVGUoAbZ2KQBJwjb9uyacTknRAYsxE2TCIvqj8Rd9Zjs69qn9Sh1kuKc2qpTIqlCVBRkYBwUxyUouj03PIMlnHP6CAIEOBSSpEOKPe9zWovKZ6udwU+wvBwT5lOdwcCXpDpj+go92khn+qGCtWi/qRvAE59UqPCmjjBs9GiI/mBjGhW7ov70wKzyGAbcb/VxoAartD0hWxHSuHhGaKqjNyShY5j4V//q93//934PJ36xhkdqvvXNb/7ar/+6Z3zMpHOEUE3crQ/2u9pg7neFuD1048YNPIKNfX3QD7Hy9yefHD379PjVqzlWLl1ZmWxtrV64cP3a8dysM+ox46rgUYtokyeZDoIrKk+fPMXSVliQHdeu+jVhz3AiaUaeXp1D4LSL+P1DGiwaieAnDHtZkMEjWc+fP8c8kl7CzUA5XbHSNxTJdkILpuNO5eXrF/mWHx6mWqY1Puur3/OlmbSEq0LRVM/lOFhIyAGJUtuyPYWyXUkOqJFvkdn/ZMAaKnFGSkurFfworTJKN0Sx2WYYVPFQio6kCPIFmaZWa47C0hRV2LfqpASsI4aeIml+SukN5fkPuTMfiaLsibAEgfeSBLG+na/CJ7XhZBNZrjCbktOdDLIYSuSuv9fosoqJgn4MEkDds2ydiCb1TCJj/3fHM/XZQ3G4CjUbrhDygFygTRNymNwPbm/WWIAO1B7RMBXidNUB27j42Qh7EFisP8ANna9+9Sv/9o/+DZquaiH9B3/wr3/pl38Zb2jRzCEJ4wt3aG+AS0arj53Z2sqqe+bdIWAqc/7CeVq44fp1l5tKYQGqV3/94eEHHyz98Edrr16t4VlnsJ1OsXbk0XSyu7z0w3e27q3fPPMLv3Dx3XeXMeviDVXCPpQcwbXAp0+erPLSVlCCIeyhOLitCYV4X4ns1TYhSNuSfYzIx/acWu5GJg7nzp3HaxNxu/Dq1Wu4rMXLuMsf2AlsJkwPmJahE5rUxdHTUVX4uR+V45Xgr16+3ljb2lw9LXMTatUFr5KgbZk2FKNPs+AD+JpuSFYG9m3riAQAyDohsCXJbzcOJIs1UxgSYdJgbFP/UjFGkP2QtC1usyByImV11Gz/BEFxLIBcCeszhUpOS/OTnH2Q/uzbNNHBYAgfy1NIKbWkvjSNZNGgTKGRjVcTWxT8uZQSt72AMyDXdVOgrooD5GnYYXUXCD62vgyAdqoLcywA5ohL2Clf3JC9o1KbCpDblSrFMfag5ZRj67lBdiFsfCjagJipwXayCQnMrv75P/9n//Hb326W3b9/71vf/Mav/frnm0WtOaEv5IjxBZp03a075WIQhE/uOtbm5ubs8BDXVHILTmJdlRd/9dezr//7Ux99fBo3lIQtVdkEF/Rw+QNzrPWTyf5f756e/GDnL3/w+NrVS1/84rWf+Gzr6QoTiyePn8Dlq9euyd9devqkSLBT1ae91qg7ASCbDu7HTc6DLAUBse50pIq842SSkavO06ura3jDDy4mra2t42boip2SZmCJaE0o4AQtnaCrJ4AL/qSdrFKbmkxwa3JvbxfvTVIrUkc1yKpSmSBkrs7WZlAGJG5yXqQqMWAMXNbrXFodCr/RtFtR2BPMckmVM6wfaf06C/pIAddtXQNN24tzxX4OVvJFp46pw08iF0B8Ww6lV2r5P/vP/ws7O68EgPUCt0qQQAxwjMhtOShxB9ZnsU57qwVdSXNDchouhf6/1LpGg8Dp3mm3pLJWi3oSc/aa5ThlXCJ/wuMiVPfCcWvQnJrtyUN8wp6rxbjUnWOgIZhBlhywGWo8/ichl88CSxQen5zQuRZsvYrx2hUK6JOHaZa0TN2aCpKDBQL+x3/8j374wx/kBLCk+Pvvf1FmBjkZ5HN/4R33DuRwiIwjTU/gXeKExzpBcP2cgnmv6GR5afXoGD3QEjFl6xsb8lQQViL1xCk5Ozj45I//ZPNrf3j26ScbJ3Ncr1uZ4p2DtLa7fpDkNO2XsRjSq1fPvvu9Jy9fnrtzJzdvwM3WJ0+eYKmIS5cv4VFr08vYNor8t/KhiNpzM0wR0Q6HPpbpgEQA/+0WtmIJdK0BYEA0UYMNAEiePr2Nx5cfPqRfG2xtbTVEgowkssyosGY6raFA8yq09iU8RIUX0dAHFWU7y6OHD5dXlrG+fADKB0nkpljnHOBSNGg6JCaqEOzsSVRoj/8cVVWXw5ogq0plYlRk6wnak92EhlhJNTNpbDV7p80R4j/LmnqVbqfEBAwlNHjZThhZSOm15/nISBe2yJwqFlSSRbguLhMsGYiTMsnMMr2kSpzp+yBlPigTkmGI9p6wpMOGH2M3jpM9zQO1o0FDsS2DOPu8U/JyypYSlZfW6U5dLiW0pOG2QafMteeZiLYLJiQCZ4SenDipK5N8x5pJmEhnRc3AxCstW5dLE0P5h47MEyw7HEnlDAo+gtJjIP7Rj370u//0n8gy3DknXu3s4JVzeLtfJIAAyaDk9RfTyiLJ4BBe2g/cj6MciPY/oDnWLDHHwkUUPL+PO57+lOhwd+/FV7964c++vTU7oqkV5lV2asWNjCdWrqrciXB5Pt9/8PCjjz489+67mL35dFEXMIQ1AhC6s2fPNqen0QQLuoidHd59JD9tA6cRTCQIRDaPMjUtHPpYo6SBWdnqcClra+sU5pR4i9HR0QwXFFv4AJh+63eMhdJ5RkU3/pIzKnUEZxf8KvPipUvl3w3Uc1bkugSAJRoQT4RapyHGcRKnrRVcZCjOBNwu3wqoAg65I2zoC3khm4+MHBFDQvO7J6AbfBgNyIQkaRKAieATKZXM0hDEAxmZsVSRHnETNOmX9cjEJ/UpEOsxwRL3C5ilIp+fyrGfdKIj+vY/S1J0uaJUtk+CegJvpJxk0AfV6hBnb5NK0xMdSsKWxv6JvE8lQiEByrLNSxTG3Fci68lByUBRP0lClchJ3TDTD9DwWJiplIk0sSRP7AbLaCfN827IqNsRsDspfOc73/kn//P/tLOz06qFGdj7X/oSLt2YZsIKxqNkoxHB5D40BsrSX8LsEY54jnVEN47CsJw6dRqnYbzUhcM1nR3sv/jKVy9+/wfrxye4w0SXpmR2hbqBw3S5SoYEU3tA4/vqON0TSRwcvXj50YcfXf3Zn11ZNY9kPcfE6tkzzKvwehb/MpXvVTjBMpGCLZ5jJQPH9nwITss5TLJJAhB282WRxy2Oyv384WkBrKlEXL7CahQIC1QeP36Mh9L8aRZfmsKcWK9RgSiuTi1NcakXCe8aVZLzq1evPnn69ObNm7pSa1JMMus5F0CSRYzM0yw7JkNMzGEvW1KxNRO61Pbo5EKQrfL1AoRMGzUlm25o23Ym1sWRrLDVFjFRbRW2SlXfggxRDkgzGsgJPxw9uMcfOvnLRkKU6QIqaoQ8bpQtIUHGHob6baFjAQb+dOl6Basbjcg2x1ECZcJlBSSm1Fq6GQjcSR1g4V9cnFi2v+VOifTO0+kHcRbe4oA0G0kH6La40kuKx2K2JjJ3O2OPvjhJbd1+aog0YWu0WAb2oo+viqJM1/WlXJq8YQ8Em5F5EDD+OEmkMPfCyfvo+Ch39g2kuxwAmVp2xfb1r/+7//1/+xetixUJ0uvXrzAjeffd99gvD12Om3tPpDWJMPHI3irYWQA34fDMO07QWjfEdDrB3br79+6dOXsWtfbp1/7wwnc+2Dg+WZnjVhPfEFxeXlrBFbCV6Qo+eB0DJl0cVMwF6TIK73n8xZhyQhU/P3y5c/fZ09s/8zNY1xSvuzm9vY0LV3yRrBkazuH1frj2RcC5RsN9se2RQd5IjpuY7ohnaSNBqGNfkupVVoPMD7nTe7JxBZFumC5PHj95eHh4sLa1gnWoyJn5Mt6U7N/1o7EAbMXlDG2sefHkMb1tGo+4dXKNhSmcnbQK4aHYcsMgyiwH5LHAxS6jLagSDVVtIc4d2KZC2pAqRCBZJIoUaFHO1GNStzWTKDE0cyuIi31mL4R4D79Yx550cGg/BIgmaYuZe2ffk4Q0iNTokxJtmcIKUgKl++Oj404TrFoClqXIGy1rlULIYYucofxxNmtJDKAmcfocikwXQCxhS9RWvRY0jfhUrFpTKpVD5sYLScIC6MAGNuJFFSItmBq0dZSLu+5cnAqaYsPfF4RNETimiLETdse+EKxzpj2IAqvnm3Ym1RJATs6xcOn4hz/8Aa4Z4Pd0K8t0oWVrcxPzAKxFgD/98SdBqwXcCPvbX/wiPb3ULYitwCRAIauqxio0OwMhWJ5jYWEFBIZqSOoTKVw7wUWUIzzP/vV/v3l4uDKn5brpEStMrdbWljY28Jmur03XVrEsLL19DsrcJbniiSw9+Y7freFmLzr8fP4J4OYnV2/euHLlKj/jZY2lKEMe2YVRAgwhI3sfADm6cdT8wqo01AW5SrqLEJAhXgDHXxRLeImfvUa1srJ69vQ5zIGfPX228+IV5qaoJMxKE2EBcoM2L3jx5MXLl8tLS5cuX9461ecFkabjcn0I/y4es7esQJ5zxZi9fFGboZrug1zk0Rrqona2kMm6UrJinXK5fVOMJPMVavziQl+wUE9IIi+MtrqjtUNG8emyCW0eN2gmnv4EYyLwa02IHIWjQkfERFJsNM1gnDdX0RlzyI7arRjz+InFpt3YkFGOs6uP2y1UQ0EwNZeCc3VG6qQq6IwGJP7AokH02vR4NpxDqbocxY7UALcuaWLGJQZ3O8ekS0o7fxelKlnQjkKCn87t7r7G3Rm8RRgPBj09eIJz2PkLF3/rt//+b//238eCkPid4Le+9S38YBDzrZwN3En8kz/+43/wD3+n4wCVw2vk08mo6+hHIHY6RU4Lt4ghrd1weIS3FspNPTGMOdCpjc3Df/fVjf0DvFeZfjOIDWf3jfWlTcyu1qeYSi4tneDHCBi0Dg7nh/jMpse8Xjw3B/BFoPGKHkxPX8wOlybzZ9/6s9UvfKHhWDJDW1Rc6jcMpI1LsdSgY8FcHLgi010/TEH1rIobfrgH61fDZILlG/Tnfmhj+MkFAooRETNg3MyFnwivxAR7FB0dY2GyV8jf2FjveskqGzWOiNLOirkJFYmQUmv1WIEa8ILdZJFgD0SGuoADTQB9WwPBfSi1IicGsdu02FTpkIMaAS57hAF6fHDbAGLkxPnGZmU7urhFxVaU/mzTtCvmFPKjIhFo7uuvYIk5JWiGTbEkJ20xWWk4otJZyxqucTSuALVNcykMMPYUaB0g3+SjksmEqQGVFv2kaK9ME+MuurZ/kg7RYW7AqXWpi62kLBtlqyaElNF34/rRtgwkqizvwy72Bff10EIWcQXLmiDaSOPk9ODB/bX1dfyoCu8Sxm0+/IYLd2fwFPDOzssXzz/F21rwTMznfuqn3v/iF7/0pS/deecdvEsOjxCBm4Vy37itBik849KjmTiUfIoYt1UemhvVCoOIvK2ebJ+DrPc8ljP/+oPvnvn2f1w7OqGn2vna1TJmV6e3Vk6fXt7epv3m5tL66nQZ64ryuI0zPQKKDSd6unCFhRvmjw4x+To5i2cCppO9/f2DzY3r73zG2cikAAG6dKlGzgYsxlFFdrDR/LEmLhlDhWyYgXHsCzJdi2glKrzLbwmv9jumqRVd+jO3/HDlCiFb5qunOVhMttAycWEVG/zGryv2cZ1qH3HdR4MEW1QTLnFhoQ204c3NrXHJC1ocE64gaXIQ8LecF8l8KCI/Bk+KdswUZG4ndVVpPSI7nj9JswulDXDmMmwmJBDsiu8QDdvUd+piknQ+lSkBQ0ltVcJ+4ROWyaAN1rTxgapyVvuufAXLTB94/KS40H/ZWWTOsQcDvmtxauUcFRd3OlfLxmc7gaKoUao7sGhoiJzFsVLt0NyUDXN1orIFj9rWw+iFR13C4VURqoQ8sfVjUOTk1gWygyz+FsdK3jKEdVArinKTI7cwA9jb3X327JPr12/Qw9eYDRwfabODUTx/LUh4IPtTrFd+coycv/Urv4IPlhX47nc/+Maf/ukHf/7n/kNauHLwJ3/8b//B7/zOqJXp+dMcEl0NmaFSmlvHKidxvo6FXwmuIuI4PD46mn/nO3i7DuY4qHTa8MTV+try5tby9umVU6eX1tcx7YLYZGUfk01Mhyd4CSEOcYC5FQJKsZ5fWl7BBGsPay6czNfnJ3/1p9/4m++/X5hG0PjAozPmCgQCu14AEkkpX0zE2Tg70sYiQYyz5Ml0W4oT5hRv9LOHdBIy1WayWnxVRSRwBQubnxOlKZJ9aUdQ/iEwibYM0eBrbXSg7sOFaQFn1qPgeegMmo6J+KOuWI885ZakaKTBW1RbihUZcvW8tIJQT9DKhtLGpBN4C2Nb3I+51bbflrp6RA7hcjqPLeSdDtlWI/VN0rrJLULWpTxNIE3W2KKYtcZJ7E1tfW1ylySS+Pt2CU/FYnOx6Qea0PKDRSZG3UJ7XGcy9sKKtOFCUx6VSRMs5BaXg6YLdlxojo0/ODJBJJecVsYAsmvAMzZbsvEUFLNqESsUW6eIvXjAFUVuPXrwAJeabtu1FQ5nh1hTOwmFl/NOzlMJ7iRimSh09TPb27/yK7+KDx4fxhzrL7//fbz3+eXLl5D5oz/6N3/3y1/e2mxZyihpqD2T57M81rBH2Lkaate2MchJTme4L3h4iDdD48y89+mz9QcPcanFtAdcgFpexm1B3BykOdbW1jJPsCazGbr20mw2xVr2eAKbz778hLoMibhLiAZyQmszzTHHOjn85OmTBw+u3brtSAT+eGcRaYBOrphiu4vpfxRicKwEN7/1M7GOZ1SRDwYTIZpOeWAc/GSqZ0DA65l7qnGSQLyBQUPB4LHwwGMXEwDJuDoQ0VPXmGge5ag/mtsroeAj4TkSiows2/NdqaRQF1qqBEi4bVPhBV3QEvs92mHSI+ONFwUrZofCxDnDD8NUbhFqVBiJw4qUCi7urAbDYKiGiIcY9s0ru1SCK9oUaAfhZkz9BeFIPKSZwknltVAh2moypd8zT+rQYJMRExS0TXGsJ26o1oW5HwghFGLFR7b1mXy0n7CayTaNNDTYdHYpAo9tDzuu8U4ssEtIkob8D/xhD1F0cHCAF8BdvnIF91rIbd5wUQrNErdgzHHqCw9p8c2ZbSDgUS3coMHP3N57772f/4Vf+Hu/8Ruf/exnoY6fyEH1Jz/3OT5pplC65MVdiV2g+oGDlnkDj4WCTqs5DdlGxjH9rnCGLrrzF3+x8cF3V3FHi2xh5dDlpfW1pa3N5VOnVk5trWxuLOMZLDzejmtd2Gazo4OD48PD49khHsmiB7Pm8+P5Ce5a4XM0Pzmaz2cn84P5fG8+37h0+dqdO2aQCWrIsQEkYiueutxiCsLopp1UinhBYQGcbvbZx9Ixu0Jf4Ncky40/TEsr5kzMHBdQcWFvdP4F5oGH0UE44hEr/Oe9L4icRcWcbY0Jzn2JWp3d4Ah5NPYmmGMytwyFuM4fcCi1JBalFC5Z8e7frLsI5qAiJBmcjnLkjEeiwC61emQd5+vBYkgHPD/BJt0twiwFQ62tPOdBfX61BTqX8LQM2Nwv6m1UStZSiaeGlfAJMXuyliJuHVz3tUwSkOWsCuAKkawN7pZ2RxMi+jfSNhpQk08Z2k4SqdohKX24CeLn4G13uFSgF650GnSCFbQzV7B8dUlvnzmDD9KYluG5K9jFKpo/+3M/h89//d/8tz/60Y9kkFLwJkIhh08EVM4epQXhrQUvRyitXs6V61jHDx/harOSQYj5Q2O6bPSoFa67YC6FD0nSE9bmF4OSxh5avPFPCXExjDJePHpYVVVllqlSVASs1TSDlHZLngXHS4G8V9CgmvAQlXfXrwUlU8zgC4oKw9rmkrFP2RQ6rmUKYHUQRXBBYR8OHjjFfUojMBxcoZqJxYJzNcE12BVDTQK9cxbLnMZpbmmcUJLqyxB3HHPghvhkSEbKKV5BYdNqPkogriIc5Q89tKD2u4FnZh3GPomxqPiS1Qph6k7slWAhdP+weNMpUzEJmj05xRxzxwn4RFZOO8ynnkebfMMl+dEA4/UGFcjGHngIXyJeDcl+GQrOlSTszUnUGq1yCU8L3X/wAM9RJW8FYqp0DrcCO26AErT9vT0szol73+vra7imJTDNPh7D23bHMTRjQkYr9hFifFaLIUc5PsT9PtzxpGGP/7MteoD9+AgXqI4PZ7gMiJ8HonnRtatDuXY1Q4QxT+X5Fl3CwpyLV2ogEJl50X4y2X3xAkjly9jsWuxyjWsYZHvr5vBPpng4z3QpOMCPpbvnqHJa/fJHJ29ocKuKwXGsYyYCxzJ9gg6QBYRdA8jEiKsw1PxMQscJcqXVKRGII5OB7pptCDP1rrq+PFcUn2yBGFaTKeJMX2VgWqwsNCw+czE3kLOoKxSRR1YjMmMt01DHttGfTGOwQ7+iEE9zQmvoqFBbgmKa1c4WtKG6cjdeuDw/RV45GTIoRu2Z2pd9G+keIeCB33klnlgc+02+OL/fhmedbRq/WA/uodt4leT7VYX84vnzV69f37p1S7ufqAFUGjxeVFIFlBHa2Ny8eesWCuX+I8jjdiE/Jh8YhC3dvA5FeZ5LXlKlUwlAL2gEBOzR4SFfleKfuoE3HsbCY+xYiAELVays4OeBS1iXAY+2H82O9vaP9veO9w9OZjOagZkZlp1gTeguIX9OoIUp19H+PgdlUQ1SIj4gMnhkDO+tprrimsBlOtzvCyplAHiqIr28xdUpjMAHMBdrFCWJlGd9SHJw2MvGCT4XdnGKOhS56I0TZUiv1EbC1rlXNEKSmeXI5/CtU+wVIyQlNewotV4kBftkKmBX8jljaafQJvMO5qBa83ORaZ9gUciHbJE+9zjT7eg0jI3aaCQ1xKDqIr7hX64jGwnheNqhtqkKF+WXGuma8Am7WVIexdYV9CgJfxhhMbWVpxGVwDzY+L5EAuVD6xSkyC+pJOMXa0q3LIPkSnGx5OGDB/hlO14SkpSRCM5mh8nSrpmYV12/cQNa+HXhgwcPsKDDT/7k57AwN+HY2vIwe8fMYCxgXDLIJ1gmg9dZAEWqXUyw8CPBg4PJyjKKlo6P8KNCZGNl5OODg6O9PZpjHc6OZzjGVSy6ZEXqdBGLZlqYWtEcC6dI6BrSdm7rhWPEJIbX6rMCz6jQoaQ2QJGWTihVDY3dizkrIALmrDYSPgVB/roCZwNN86wRQ+1DiYXqyPuq7WkFV1HJUbc0v2+CKn3R5HNsYRfWiQF3kJxY0jURNgimfyUFe2YqfidWZEw42VadVhfC0ibHJq8WtVpbJliohFLXzwVQdLhb+Z2L3OEii4mBIwcxQr42oRGwfAjGFeLsgHhDZ+oft60rI1sb9G1P0Na7Lr4tPhZgWOscO2U8s6O+6mrCuYdOghru0fXwBhu8UPjGjRvlV+6g79W8oM0RyqSkZ2Fq9fw5LZSFvyUuXbp0OJvxylgJvzIwnbIXcqbHClTz9TXMjbDkAm4F0vUczJKwcMPBAV1LxGqiNNPCu3MmdMmKnnA/pGkWHnKn2RUuYdF0yk6tJnjCHVOrGV6YQ4PLdOvcOeOhqdEOLadbaDJzLP5lI/lk0OgdyXhav+PQx+R11O5ErEoY+P0avbRC2GCGcoKJG59Evh9+BXs2KuGNLVdoJ0Q4zhIPYBPm4iK/UHwPHE5wFfM31ZZUSsL72iwFF4XhgJFhxacKKLClSwVU+yRfT8ICLqhmDREM9ZFX0WGnBmuHELRHDggrFxAW0+MKBiPnag7ZJ+cY1zTXzbhmElRsC0gU5bM6sbLX3EhJFK26/c4bai0B+OKmWWVkW2emntiZETwquIxeih/00UIMt70VAfIKh5gxdNz0RCZ6eJUJHuTC5ALLll68eIlftDfBOltY+oD7NmKwGJcz04iO3lhxBI6JTi9cxDU9zKHoV3CUSbOkE9wixBURLHaFcC1hgXdadQUTLzx9RZev8I0JlvnxIF2+OprQB5eyMLuaTScAxNRtE2/ZC7pS/aUmS7L6mwzRgE2rRPgzqtZrVJUWgE/wgTuVqhViDNuOrw1RaNSTgSR06+UrKHsi3NqH4LNf1Bp5A7LPVGLeHhyPUKfk4vCJs1AZEpy8M8Ic5TCEvR7mNbqVKGAUfGeOTgb9xzqDz3BqqxvFgjSW8yuUytiXFKBY8h+I+CLn2MH+XhLakC1tOZ1bsmOnHCJD+ozRHahkZNSyGmq2soxh2xz9AWRUTm8ETCZwvmva0YbXWadzARa2xq8FsRBDedkFjQpeQbi9fcb2Hs0OE55jUk/Y43LNixfP6f05c3pB8tWr8ct0scj2hQsXCQjqNS0jtFl5hGEoGuwqFUVMRkakaTizQ9rqtWuH0+kqJuVcjMkU7vrhaha+pkfHeEkOVg3HEQoxx8Kz7fJ0Oy5fyfUqml3xHcYjLGEqs6vp5AjX9JaXLjZMO8XxAAAgAElEQVSmvAP5N52lGZW+ggbFxJU+TcnhORSwMc6UNvAxowa+NyRqQ4yVqo8ZYUjjabEkDCvjAzHZPL/KnUaCtjj+4+CHfrmKZt/eAHkE1RltqbAOxcAEeQIXA1JrHQCKosq4svEUwfzC0gRLWpsd6tkvqHKu2/lgHdPDQiTssiapJWFdmPLGFWZORsTGzj3KWm+7tM0rnF7t2MEusXysFB+P79RCLPit0VbXQgxVxoMWYpjP8ci59tBWRbwkBxecTKuz0joqIkNaonzjEDOqly9eYE6xvLKMeZWZQllF/1uuY1HOsDmQj5lMy2BX47KMiQIi8kmt07dv319fX93dRV0iFBwcvMwFKSxTgCeUqIqRyQ/C0/oM9IiVfe6KLlzR5SueWmGPa1dL0308e7W8hLfrXP/sTzRdqOff1CUmdI0KD9BzY0SwaToVP0e1uDMZtw+aayYjmSQcZfqVEhXJoQgw/vhDotAewj/J2WXKeQWNRxKuwBsXURSXOrlyyoQ9gV/Wqy3tiQ8+2Nr8cuAiXEuqVk4rl+GHjszUSMQyV5YhT0MEOauHteRq5NiQsdu3hfh24gmWGTMwdlD7JO/4/9BI+SYl3at9dqCBYXiJVyY0pqX9yYF1S/pYB9CmG28kp8zQDBuoORoMxbeyhg2JVO5iXAADZtQfnZuitEdxShwEoHhHlzTG6AJphkAu4+MHbQ8fPrhw8SLeJ5iGyORiqoQXt6GQhwkzSkSDBYpwExAvw0Ezxm8GL166WHjfi9rBAvGaBiANEwsLUAaffWISXGeQkspSXukE3si4f+fWxve+z1Gn3xIuoXJR01T/0gZoSMKVIvyjJ674kXZ+mH2CCdZMbwtOJwc8uzpcQcCWL7733qnT9Iri5pbh3xSknOaMaumEn6NKi1NuJ/w8TLZkCH7cMHhsRJRNZZkvaqCL62BshGxmPRxYwA2PPBUcOhx1sqj4dS28szcCW6gCrjVXQZ1oqHABvzNjpyAtSMYCbU2uuJjSEQSKOV3Nj1tyEbm+UPHrVXKS9Je038xte8dfjTzC5fTeXL5l1MEiD8N0/uLeRQD9/17Jm/XDlpfqVZLzGSb1fCNjEyTNsJHT6UXgzSuxa+Kd6f1cb2/Xq2wVv3j+4vXu6xs3b4Y/U82Ejdqj2eDb7uvX589f4D4ce4eVf/GGHPzGEKWnTp2+di2+CWhh0t9r4eoPZGIxA6iYB76MhnCDIiUVFvuUphrl3rt3d/sXf+nVD344neFe3xyjEm6wAYkHIT6TcJ+mq0bzydHKxny2Z38qSE+1z/A7Sly4kmtXy0t7K0tLKyvLq6s/+fkvcJwja+ZQ+KcEMHDgE1yjap1RNW0Q8oLjT0a7m8A9Vvzx6U5OUnMpBxh+cdN0bivd+TeZejnUEtW1N1EFI/P3XEGSq8ZUMQzJJpmyD8U7HzGIhquzelFBepYZIspsPddS/TFrRk100srCZQqGxCdcaNQOjtxm7EHG6sDsYsC7mNa6ASEDaq7jLDTowbR0YCxYvemzNE06z8Az/jLJMcwxBg1Go4ElgLL4dqggAWFAe/s/gZTKKjahlELHPLQf7giBmizEgOsi+LVgUKAH/nQKmXAqbIh4LF0zpOviJiAersKVLdzjO3vmLBZqV7D6BKCAEMtLcOPc/semTZq6gh9mDjHQzq1bt09u3PzOt7+9+8EHuDqFh7FwgUguYtHZBRs95UQp/H/2ud/c/s5XcYjbgnpzEHNS3BbcW17axcoOqyt4o/aF937ixmfeLbsK/hQ3LPJAd/1c9HDXr8eMKmFL2mizGSVE+2ZVXaqkeqM64v+404opaKU9CRFV9IK2EUJkuxxBsYc+W07D/0W5sGh8bjzS7xbkgsAuKEQKLs3HuQC/bJY9CfRsYQaTY+Twe4Il1BSzNkTsmri3wieABOhis2A87rDxcYKArRKjzV0pVzcVcAkLbzIrYmgHCaJgL0r548SbpDaOLeMFnRxlo3oTr43vg/2rbfHjODTZ2dnBC5ivX7/uL8RgWyXZIIe0O2aM4gXHKAFzvF5w59UOErhjePnylaqLYRlMZONHhXhCq1Hu/ppvFFVk2JGC6ov/J5yDzxAbXJVw//Zv/eZffvjhmZ1XeEej/KLQXEYXGrQWA7Wlw2//37MlvJCPJ1i0IoO5fIXZ1euV5RlmV2urq1unfv7Lv+FXU+itXKMyM6qVddiZL53geQnTMEPhwUdVc6D+VlApiY6g7bKmURaNm0ofo5azdpIu5KQD1yCkI01OwXbKhbkwYoioKskn2xQ54frdol3IhnBQgfCHa3jmgZzD/F4dHATsKdsYJfqCJzUkqV5YUwEY7OKYiqTKuDB+BosyRxgtGbt9Z9tQUpL5GgmpDFslRTXCWlyIHdNWEk7UpVQJAzrVBk058EWONQcJFXb6/ymkyC/axDcMFrbaEi6K5JD9YoME6jKgoUU9evQI9+Bu3qQl1LnypOq4R1V7gJuAr3Ze4vXPmE/gdYQ3btw0BqoRcoL7+3tnzpxtlqLDd+gOUavkqmsPsdZw03yXnPNXrl7+nX/48F/+y9OHR1jqHnMsmMZ1LGpL/PcHHMFLoNfWtuYvd7DQhf3N4JSeu8K1q+Wlw9VlXLvCm6F/5st/79LVq57xYEZFPQ6/gbEv9Vui3y+iHnCRw9MYNdmtFrqbFnzRoyEe2+jOdGpIvVxgJTMmRgCoHfZpmGuIifTnCH2sQ4l5ZxPsstUy1ZejNHq1Jg1ZMsnCbpmAkg2OgTzzD2qzG1y7tASQu/NC+rPggweZkPMcO6X5PsXEBCvdwH2lQWnpIaERjncQDK6JIKeLUcyT8RPtLhrdZUMP2vRNI+Mvqg0znSp62M1CG4NUedF8SiGZx04RWYGzoPRN9yXscVJ3YCZMjjgUZMjM9/cPnmAhhsuXN+jmXR9/8E6bT589w+3F5ZUV3F6U5deNuZHOW7g/aNZwb7hBPT8XJh7+uPLYL67DPh7m8Btkyhmf+Zu/uPvy5dOvfe3U7GhtPsGDQvQwFrWw+dm1rZvbm0dffP+H3/jG9ecvtv/2F/70u9/bffEcj17t48m2pekRHrtaWV3G+xk///5P/Pwv4JYf3fgzFRbMqJIcSlFKKnTMHB9fTlOm4wGe6s3mdSRXJy4msm2pDqRNyrY+alHm9AUVY7pNub3cRmk0wKZJNiHUm4Uuh7sej5rsstFy5S2pkXpc2srAKIlrgAZOyi+/rS6oIgysC3La0f65dB2KK06dTWElJlipgKRUu+XZbsNDgPAiAEpRHbjibrBp6aLLaZXOuVnGdDaQzZtcZKWt7Fv47sGJfRMHXZUxjgWz38YfF4y34GAPk7blgLdplE+fPsW6ALdv3+mKhlMdnljHi5kBhKsuV/mJdcy0kBNBsSWyGOV3OsQv60rdiKtLzr7GDH2Z4W+QYWE50jQRLvzsl/7OX2xs/vXv/96pvX1cx5I5FoaNz50/8//e+/j0//OVlycnj+HON7/5hf/qv/zD//P/2MFKFlgkAdet8Ajb5ubn/u6Xfupv/fJ86RhLJ+g1qtpIjuRF1pythVJNZZVp6DSFjAOQZsUhT4SaRQqMokKpimUTZII7SFYiW2AdSAnAO9AKgL0RNKXRO89Gjoz1BmlTJGT0OGuLD2BPK00TbUDpclYP8NNy/XOFaq0Jv3HWuab4oOjC0p9vSrOOSUqzLc82HGWeDFQ8waJGbjXbLFSU2/7EHZLbstAZ00YFjUWImL5pPSQT4tW44RsRLRGF1gGG3aOdDHXMpkGpkaGW3kA9DzHBY4KJATnh5ht0hNt5uJd36fLlzc0OT53jMtXTp0+gi/fgnT1z5vz58xoNJHZ3dzHZ8nMkPbzfwW4TVi5oiGtsIl9VCeVuWejZySGmGwoPtT/9a7929vq1b33lKyf37m1gATD8rnB55fX7n5/+X/c+PjnG0uwvJ3iPzv4f/a//4ng6fbK8fPvXp6+/v3z6wo1f+q3fvvHOZ8hiKhg1TMbyArZysa43gXgazl2GTbE7Sl3kIiajQQ8TfkzIN9Pu6UGCePjkjt3DhA1Zjrufz3SG9z0fMkybukYm3JFKDAUGHgmktJMFwBO7FlhpouxdP18Uf6FeCLeuzamTvNaFegSj8QTL7wB94sWtGzvuHdINCWYobB8qi9Ex7cmAOw8XY23xqFRXakXmwXzIFWjKnICRbGQoQjPRqY021Wty6k1I7QFT3DOt1IuAmsPFp93d17du3052GxXTBJYPxbuWwQQ3AfFOwOzj1fN5csF3WKn3Qo36CSz7hEMCwV4qDu55fR1HA0345pLp4V4o7PXbdy79d//99771ze99/euHjx9f3tr8q2//h4f4deHy9AmverWLwWt55e+8996Te/dmd6//jS9//id/8RfX1vB8/NDN96JLS+9g1zcRqVEf5AEUpr3ai6TaDwsmhsD6hgsmfLEojUZoTw+2H6Y6oGiRCWnMEUr+sHOVNS7IweKwzdSggIwV7QIlZ8LGtiA8sCgeQ2QkHQjK6uIFNY9hLb/ARQMVe+Hp+ARU3itvSaqK4IQTrK5t2W+JEmhu3cUmPu4lsoS3hdglpFuypKuIELnlwoenZFt0f9yLqfbgnxnB6I/I0nyxv7f9NYdHUGdUgCL3HBeXiqzgUtCDB/e3T2/TE+ht27Nnzw7w7prJZGNz49r169o8cnq7e7vnL1xIlnrckuXJTGqf0mv3dunOoxDI+YbSUXtHgtKIJlZXV37683/j2s9d/eiD+59+fH/6o7/av3hh9vo1Hqw6mJ+cP3fu1mc/e/n993/z+OTKzZtYmCHBppiVi5KE8c0EiqcW8oQcdUZEj/pggVnRo6gwWRcy7keSvQ+TJiI0Hmd42Of7ZeRilw3SwrmrYr0RibjWeCU//+wHiqYqyWq2BtVEPbdukojtgudYVAuLNCG1vPAab46EcqqA+Y7tM1dBhNP6smenbMdxGc1NY6psiQ5F/7j2s0ZOD2jE7CTokF/iW3a4y/ahkb0ZDY6HAxkT4JpMp/hLPW2a6lG/TZDF52iXkD4iBqUOvc5S5QxWTnj54vm16zeiS1Awoe0Kt/+effLJ7OgIr2O5wFu9i7nn0BnBmcgDysgjLRQemfaJlbQuXEzP2yIoLyBRyWiHfqw6gaL74dkpHr5Fb7pysnX51DuXf/Uzk1+dvLe+/rOvXx0cHOJK4dlzZx9+fPfLn3nn/vY2Xv3sW6mqZl8hk+7tRQbPZZueKH1R/t6UWhmLujNlJtzadFFCDWhUQ9L7AhNsRliglKwZB3sabpoQ8HH3sCJnuRqWUnuIpnAzDuYJmZHXdD8c1RjJwxVKxMQ4c6AMT+NFgcTQIq1xAJkID4WM9QnWjKZsYhFOxS971kpPzzTY2Zjnj90xgla3pBC3edOExHM3a9JI5NzLNL2c+JvOt74Zu3CMPVK3NBESy2SHQt2OyPDCguXNqGikC/tIV2fmDx88xP27m7duJz3Ei2tev36F1oV33F0s3ARMKtvMGS+CZY/ibzjgn6iomIcAE0JyL/LRIGBaePbsuRgufdwwkRYblJtm2YCMXkGD+b5Z3pObbyT+4dHRT9+58/R7f7G3vn7lytWfW107fL5zvLnVtZoj2MJhojoK0vki0xn5C5hM2A010IsrPQ/Vr8R3BLaWprWrjHYwx02X5MXBsCt2wMmLCvBCYyW1khyuXJOU63DCs9rNsJXSXQNsYaYg0mA5wibE+kyzfGpJghE7yNeIRVpVh1rjkJZ0lVq90EJAA/MrqE/5kwbf1LwkVvbbyo4XweoWaU13/m5wtbNFQXIEWNCT9pItRhfYplosp4u5T0jHIAHUXuxbWo/ru97tDEhr9jjhstUIvgQoHip5umGrB62MYgFcAXr8+NG1a9ejJ9AxmuN6CUph8fTp0ziv183dY3w9Xl0r38miSoRR7MkZOGmHgLJvkHNvelZjmQQgF3qWsmaplmzafPO6CSey7gKyogXTY+lQGS94+eH9B9sry1d2j7a2Nu/u7x/j/dCz2Wy1HNIQpeNRv1hJLYopILBf8ZDqE+lnxUdoTZMJHuFxB7y+qRRgyUc7GTADDjtKrVc8LigPKBJHuG8MQCmqSjuUbqi+uMY5hnfOhGkejpAz5PLiFAc/zkwc2xppGAlkaTRAhvGrxr6vzvKLrHQhb6qDaHZlyGy5T1offf5hemxHaCV3IdwYAHq5EbKNj8ZmH+PTsbQ9PRvDi4Znnlo/J/tpeWaHJrm1mEv9rgIrUSP2wIpyKnEWLIbGohs1Ua8aLV/7DTm+3Nuv7+FHfzjr3LnzjprDYgovX7yYHWHB8OXz58+5p6Z8TipdncAYgflAKE4NVRxl8rzr3k0ODw87zfxghkbVfkNV6ED+iGqHFqOCf+Yvdp5RzbGmgldxef1mCQL1cuvUk9e7J08/kdIjPHv1BuZY5EkpXFSD2jYkrB1j+wZqRDoQ3pPTu965qVJPAwJXYaIeyRH5W71ZfyPliCMLasDSGcGUHWmp94EOSRRhMRHHInSNvO8IgYWjisxXhIDsiwbbCqU5hCbadLqVK0mfeTuEUqKQVYTNdtuxWpd9yN1UcgWDdp/erARFEK2HjdJpQ2a43tm4QWe4kz26RINFbQZ7Ju6RijhGLtimUAWU9/kN+FLJFHXHDrJD8DPBOZFV5X5GCKfmRw8fXrx0ES+rgQgewHr96hVOD1ixHZOqxB/6w+YlmLfhFc5yJqawk4dUn7FX3a3ITwgzXqazdcBKF/fOnWK5CO8aFVb8nfSfUSVZTLdwD5d+WIANp3qaYx3OZi2XBkW8554qKKwUaqrSXrlIBHqiWzXUiMxg4vZgBUb5Bnj9ycO4SQ2V7m+YpprqmT43Eau34uvWp6UBD7fCow51R+ujo0AVEda7KxsvRVa6VEqlZYFVYfQU02Jl3KHGNvbW1jBGsaf1DjRJl2D7UjLI0i5KBlrKMMFCRSz8bw7Doq+3nhP/H3vv2iXJbluJdmVVH9my3rJ0Pcv+4v//m67HazyWlz1Xth4eWe6qyrobAMlgRPBNkMHs03lOV0XwAWxsgCAyMirSvIniFg4hkWmjKbbebL8nqeuwm/i4drKQxEuxKLtvE/ymSXFcXT1c+G4SXC0li9z4MAw43LrJske0JA5qbFfw93/wZ3/4078//OEPeMw6vh7rRz/6sTwONDheGnnhVXgfAYmJZMMTfV3gX/7lX9I+JS0iMfSz1GY7N/A1z7Yr8Tu2WBJTpMuHxw9Mh5HGTHzq94xvavauURED/oSs9NyAX/wQX5OzvajGwhPcB9dYEqh0+QeaJftK1G5AFI5MaZILj05NgC/mnN1C7Ryx+I1hYiyrO4/NoCAtHVfLMtJtt9hSC07MFxk8VwSExQgNo20ZocV5E8LJNhuxYkvYWkusT5FtW+i3o0swyak+PuGIMliarahmvoI1fhmwfrisCqUkbZnkJpo3UVGDYIv9ong3Jzr46g4OYimnAMX4kCwU6LUG1I6faj4talEIO124hiCH2sqgFkYYoPzP//kP9/c7vrXmt7/9/3B7OP4WsEwDjUosN0jGABhASNhIf+Wj/XCPV1Rp5ebUdtsysEmqjcEIeQJuvL8/bc/xvOFPSu54BFdoLMvNaolpj7XfTu+9B9VY5EupNmRNsi+3OI7h626n+Bmck8VbooXMtG/qqN0tzn5DWBSthW5RCQHGlpwWNpOYhRsb8MgkJGubnROI2ruclmY3GDOZjZg3jRZOZDEqYu2wzakosXNoJDtDhmrZVkQi9Ue4oD8nqeIrIqegOa0G0CmXyU+RxvswrYWErwN6ZULdnICYdFOjeDIPL7YTChgqggRGtqx5guisbUSUNrO113qSTDUvY2TETh0zCjn4p3/6X//7n/4JgN7f336IP0PjOsPizP8mS6xh7E52Kbegi3rl50kSHkYa+NjxNEwaIIMjJdLtNeODTnzDsddQcUhoufL1HeCOWRC6399vr/L/HY9RwNfX3F+e75/lf3wjTXaFlttSAX0/1NVY++a6M7s82aGyttiV/p46wRaAHq3FpSCYyu5mO+vYKh0N+YWRXCoxNI608P9+p91UqMtEdSQB+bMSx4iEs5bE+LYuiTeAL5wukOSnMbNgJlyOUQ2ucSrOB2e1ouXc3thiE68/nWOXsmWDLb6c/LEETwhDbC7+ipAq+li3ZruvhSEiIEix/HO99VjqZ3SbBfwOcFwYrQ8aSUYKSFo5Bm4J6siYSHMcSKqnwI7UdOmzIUcuJYGM0Id50uJ35uWXjshdkhE5uJ8d/6PcwdMNfvObf36/31+/fPn5z3+BZ1/hr/zeXt9+9OMfoxLCIxsOT8Mib5okLpfjaGmXYvv0KfcnhEdJhcJ///vf/+QnPz1ODp2HsR5NQEbA9xrS1yTjhXjFPemopULyKtpgC9JfoUUVcr2hpsaqueedbaSg5XUKIuzyDDNllE2wBZpICxcGSSye/clDEeUqEJZpjaXWsa4Rv48OADKK7JTIJQI3C5Pk7DrN7F2bfyLuIMYkzfl9esfGQTAosmp8mAKpQTlN5OUf01IrM4HEB1wrdht/TFZ+j1EOW9AqIbd1Kx4JBtrZE+YaffRXhDYgFSEcRJHJhMX+E2R5dAcx3mlwLkXJLdjjzVQ5DCkxS5u6zD/+FRpaigGBYqfb36VTR47jADYK2EYXaSmUHJCpASqQC2Le6MHtUHjhyQs4x7NDcYc7voYZT63ER8yot15fv/zp//7f//7y36ix3t/e8Td6L58//9UPf/j5O/pOYXzPIKekOshf/vtL3YR4evXlAMn5wlgN0R/3T+8fN5MAsW3w0xN6KyofoRwj5XkBfe5XaEGZgKc2pP+ukOyUCDY5mKkqjxuGSbZEdj4FM6wI2cLDinIOZhPFp2SnFfWJMuRpLprCWiwSld+DSItYauK5GvmJnKCEjc/s+FYgopdI4yPo8SVl1QZhxxopRMqyTUxCtl0AkwmnhePblZWTHeBswUg5zk5pGVCWMeQmdz0DJXMJ3g0BjorKvayd6aiakCMcQq+cMsmLllwan5tcfqAuMKQaTtt8dR7g3hJSvFJ3avBx+mYAxcCMV8tWgQKFvpX55z8DRtzIjGc04DttABbPFMUfGP7VX/0VBqAI+8///OOf8SXD/Ekfai9c4sLlrh//5Ce4swrbevZBCd/9oPqb8ihBZNzzCeUgVG9E50iGP+UalQxE1KKiesLXJtf4Nack3A+QCIJyqGEpudbD3xUiLdAM0koW2t85Kbl+0CUB3WtObj4pOu1JQXTGUuoTZx5F84Bjo4gq1xJUXdgosArNScj0DeGwPRol5lgeEpK6umTFZMw5QivWyOElMYYliwNhr3h+9UAt7yQUExmycLyQFoaMpTz53JKQGexytrDCZh8EZVc0Nt66YTS4zMXOp8ZYjo61F0At5wZBmN3kChQGhrDvXQBIuTignCICPe3yMZTXMOdQvCpbIfmtzlDfgD3ejhjYC8qcxRGcJto8beOXTMUX4PyMHn71cxn9X3/6E/7G8O39Daf4dmG0uzviefYn1Fv4qBHHeEo7LnfhkVpYBfgePXybIS56+R8yohI6Icg3EDZvlH8szdB1bvRm4PDjjudRmXoAFyvgCdyZvr9GRYXc2M+J9pAGnuEO/NfPLy9fXt++ozeQ47YloT3AW84ftcbDhIAWuhZAzmVpZGXWUghJlOIyPaioFnB6PJvDUV1DlM1LtMlkLQWAyeawxrTdpb2bpWQFzzK/kotUAqFUSXTcBN7IJrYIwUY4+PgcC+cWAV1uqIkTVlMSMyJf8WdVgcWXMmA07GOGrPPlNIHKTEiMOHTFmD0MG3TqX50S5zOeDRTtUIqviLBIs6JiEiU5mn+aCLTGlesvHgk1VrqyGb64uAraPGSkjLFrLmHAX+Kp4T+kp2ThhYtYeLjDGx4WSpXY009/9rO/+Iu/8AfIMBmJW6Og7st//zeufuG+IEzAKV5WpxsbPRBUGJ+e9fpKxZ//omtUN37Cp1maEIGKKvMFKaRo8J0lAAmj0ub4hhQec2KiseQWWrH08x0XFdWf3SAuIVXbK+ugbWjHEWvBfJdL6YANDWGKKEL1f/40+TB2ljmkNh0JsvliFK+2xswhHKUVHRhoOJV00pPerLFkpkgLwrDmhMZUBALHUVCBbbSKKvKVnZr/jdgVtxot+Rm7EUFDWeZu2HbCahAD0iJKt94BRy7eYgWWMMDp0KiHUZK+/MYyaBAWpGQ/u2DIfoLSmTVVxFFsy3pOiFeAWiKiZEwCZaiLY8z4g8TzYq7Z9J3QFnBlgeBUtB+Y+OYlZYCytZ1LC5vTr371K4EF2f/+7//+u9/9jk8/8DHij3/8EycfI3/5y18eDMBzsPBcU9xTjy5UZofeBKEQ61bsYRZOoQsVxv22lVnkVXxloi0mz1OubUmbU4KNHAu+KJ7sgj1Ng/V4+mhdjZXwwUm+39BvkS/tcMxRjDayVJKVMfowruA0EUX+bJafqX788c3HzNuuVmBjjRsEBiWp7hcrGlIr+NCkMCokGROtZymKZa4vLXHMoUC5PDmNgyUmpYRUejtM48otimkjIbYPEln5hkCOZMDWascX/o5N3PRaioX2JHWFOqPDkIFJC+6O5SHuHaCYDqiMNgY5KralQ0tJYRAw3ZsrH9LUGpq5oqIJxDOXU8a5npBiFxQP9IRPPWRr3YpKp59OYFifVEJBI69bFE//9q//iiDEWnp+fvnrv/7r86fVKMLwgl585vjvv/0tPj389a9/fR5WAgyf992fqKLCNYkv73/GkxTw6ISzZ0tE+WMkLwxNPaIOKgoXrIwnXsEz+xdz8aL2gnjc1VgF40Vdw09AqrIooYKtNDkKhhpjeQLO8FtLUQIDuvosKuWavUpbEenjVxpVcy9kE3FsV7OQkomkiDXxwXEGQ6BGtrWUpaMUmc+t8WDoEC76rAAyiEwCZunwfu9sOsQAACAASURBVG7Z1mu0h64T885T7Sjz2w0gHx36Ok7PosA8VIgjgj7q0Gan0kKlpUuPaSBzzijsSIXfAbfoK4zHGWpncRl+iqlDrT0RNlcb+dPYS+shxH0tQjUDKLKbLpedELsG8q14l0KKrTVww/nATVQ6gEZW5IonyH17e/23f/u3jzs96QD10y9/+YvPn79Du+NR7uJCbfSv//avGIaPGd19XVFYt4/3T/ic0ciAY2933Hr19J+//92vfvH/3Mw7pejs8o4BPgor5zTHn/6E+6mVfUu/TB605sdn2B7HNdzxHX9f4cjv0hGtXdSZQIYksdUzwNrkfncpclIKDliRCzpMSKEqkLcNke1NJJLBnBm27kFHTC2nINE8SA0J58Qg95LwxQyriiHYE43fEKidVM+wyO/Won0M7M9opnNta7hApEnpZyBKLVAhjgBY0lWeWEIAiH+0h4TgMQ3mfWFookabt8+dfaGhwMiAkXIxwCRlygUmfWP58qCh+vemTFRFASLmsVL2cr36Y0TXS9gTMOpM1oOsQDKVfBvEejRoFKCAXHw53t/8zd8IKlRRuFyFhz4AD563jjrsxz/+scxBuP6Pv/kfOP7zn//8z//8zzj9yU9+Ipe40Ig/9MOd6U467ky/fXxG68HYP/3pT/ho0g1TOehMN+UY4DrKTdYmCmQbzdJofHuw2SmItbsBfAAFE75LR3QCtm/RHsjxjG0loyXDRwL5OEvOqxSFRZjWDIlwDluE0ZmRSS3UyWuXDgAeLzryXmiRAecub5TCocgvd1ObSrFFXPx1WAQektQZ92LM0bVBBiXwqWs7cgNFAjqKRLlp9QeCNhh4AVgR+QmLY/dgRSQ1NQ/lyCunDDgvTw3RHPX6EG17xtla6BHfSyCXhfNezumMjZpgwElxpoEiX+wlcDDVxnIWqx2YUaDQDVRelXAQiLIJHxdKI4zBJ4n/8i//ggPA+8EPvvvZz3+BP1rE/Vh/+7d/i4dR/cfvf/sf//LbT7dPv/71r16evjt/6sd0HEzHc7syd68fIJWcItC8dVQyo2WMhLH4mFwLGedoPpjboofq0iVqLFq/kj8oAMTgJoNoEubT6ojyE+xAY7A9hUKAStCmxp37yLXmRebGscogGdCiyGop/w1d6oo8c8k7Doy0+y2uS/FgGntOkQ8ejZ7Ffk/keKNnO9qGctxIB+ci9NizbZDa0c4ia8cZlgnm5Ko7YBpVYFkyKI8cVDafsnliI2Qerk41S22YCAzWKPu7QUrJFLtiSQ0RaTc9PbVOkgmeElQ9YzLxwAYDE1HMBkv4OJRVqiEso65K3H6wD6mQO4D5Eb8gCdj+/Ppf//J//jf+JvF2e/7uB59/9pNf/PKnv/r0U3wxzftv/89vcdELj+DC07l8E3B8KH383j3ArjME2gj2iCjZcxk3cUgW8XLyCe3CHp48v8Yi2yiSrX04ofUrdnZaa6bL6hjhqTOJFHsFCwpjZC5BbIpOo4inn2Eotgi6EqNSSp3BcXN1FKVAbH3Dde3t7WVvA74/8taHLBlRS9aZ+NqPP54VDTpMMtThxlbEuedNJ2u36rzJboDXZg41CyyPk7Oi6hYGvSEHyyzfKXEHJHmUm8OobZIM93a0cjKW+WQe2bwzs0O0P3WETF9+5thzFq0aoIGb2d7NYBWIKkLEmLQouMkzKmo+feRnv4IGg/7i9hd/++u/E9PxHIff/+53v339d1CAvwrkO7p+jY8Of/Ob3+ACFT5VRGFm5BqyzBmqsai+vo5Co9JKaAGbigpHHM34sWcTZ8TeoTUtt6l3Uo1Fq1icRNHduoT3HCXtLfQULba+F9livLmD5ySTtRopS4SUrKk+g2g2dAn+CuTWYGKheNpko2hRVaDLEGktPgb0NKOcohTlW4Dv4jNi2zbaH4CZ0AV77/iGCzY3K+s8wIlWKLDO0j24yU5vHAMSVJhC2ZZnlk5HyZl4gJ6np+PQYXHkdQiTqTbjQSLHz3mToZ5uNSRAR0o3FN56TI4mVHVurlUv+0FTxlfhy6+oIBCPTniK/K0fntn0139tHgCBmok+SfzNb2Au/tIQHyCi/EKl9fx8w1NO8dR4LH5DHD+joZaV8vGSaJyuwomUiw19PLWA/zZFhXj8YUNqLFNRQY/YC+vFfvpJZBg2fCA0+HDec1pCIPyCz6N7tNBclkAuti+oxsueaf6GWAp1iBwj32EV/KQrocjaLHiaDS7S5ZD1HLCmLgKdyRCVYMbEPb9NSg7rsUbmGhgMLBAYCa9sAetQBEbz/kQD8GVocq0MkY7/0uY7ie5ARONnY4EVgOZk2wOCFUkibOxm8amcKhFv1chvWof6d6JE4O9VF55Z18E2WC5xaKMxai+NLJQfGFYxtTaAAtpCTbJCrcn4TRHBVldgCwnWb+sEBALhYdyZ7q5RkbXxiiphAIoq3O2OF8bgHvk///m/fv+HP4A0fEHiP/7jP+LOrR/96Mc//8XPccs86MWzTxOiFLpsjCZE2dCmIeTeiq/t2aQSgekdbhvbdaRSY3GBYTIYkFNYh19iFkiJDQhPa2gVTaQmoosWY6SrRJ2sZRlpdHVIK9HIppBBcwJDfLTTZW0WVhVdKAQ6AwvZaBgWMCotxZkM58rk9Hivt1qXN7fu0ALbOSstIuY8Sl52IdPy8MeJ2yFXrnEicxxqDDMxobmuwPKVJ4QeuhgFW0ELsvrq1EHajNM2O0/I3Ns8sttzXY14kFcznDDUjre4+/IvSzGrkxDwP7sQDpjQ12CXxVn1m6gPv6Id4eGBVsS0X1FhxI0qqv1X0ATmVTTh88Ef/hDfMU1Pz8ILxdYf//iff/jDH/7hH/5fPPrh7/7ub3/6059K16Cf5KpT3WNWNKvkNNzPJclCtJx1jbCrocbaVVRm53FWu4MgWFoEc+yS5RbThfbav4fAFDEJkkW4s5BOufvQ7gYoHszUBdhiNSkdaZvIhq6RSowT0ro2L2N4NxpPF4kzCMb88nRVK9qsDu4RJvANblZE2Qk538t4aaUkIl9gpWUEeTMlIWHxyikjqEFeUIl2Yzcum4tAqwnSoOMqcRfCKhyWUk64U/2BPhej6JMQLDQZXBWODGitbAJI8UetdWc9UlFRUcUvWmn41MWrqIiQfjVnxbYFT8zC/3ia/N///d9/+fLlj3/843Zvlh2j/BtGyhs4axfI5EN7rqoPsp2/VAUfhZXUWBzeZCb+sc2H969HmYnzaXYR2giHuBqK2/sSIKWLraZDyMErNZ675/iL0IRq/RS84r6gyXPsEoYv0eVbXUxV6cAL7UpDFKsBTxBGB4cCnxI+kiFV4JTn6b/UC7140GjklZ7qTzLlFCmjcgpdRnG5CF9c03GGrJjMRoRUithyikQbm420RqFBjElZyc6guO7GbU2S2bkY7VbXKcAR5A5qBeIdwgf+pmRfUR2/JtkXmt6Q/JHdx7gZ6/xtPL1SHVNmVcsv+tQPrm9cZZWYoGWOrkCNZXMZIIOJ0ycClZbsh0+zi8BXcWhXNTkfMytjuE7XnpPaM6OLcdbOPYy3RlNz0GRpnBOK03SJ1fIzaPWBpc7TaXaJE2N2SbuM6bKa06NUVpBpk6PcrBWmaldguewaHsutdNmLyzf83pVT1LsJgG5TZlH72Be+3O256lFAG8xiYF7mFTMrs1Cxov3A01WlBuh7iXVnZDZ5nHIQ/1AyuyvKGU/wR5Ad6MJaKNRYXVHtcQBAua791JazXl17vmzGABJiizv9Ef5xC9ryOVUuKxd7HomweP388oLvhP5MH+xC71Ajp9kltiTCg3zNL7K322oRkFAnulR+9uhyVpcbfYHLGJwKV06IM/zg6vVd5kwoOXDWOXtllmsvEVI4xskUXe50m84rjAqsRE6x2yvNsuUULchNygpHNlmksFRB9s0Wc6dVi3sbLGr7e9+rfmZiBVUCWQ2lZPYg3VpruxMeXI0v8kNdBTJJFLZcfL2N96lfLcmBlVYrong8dFXQeGJK3A1t4uY0cvBSoavYhNjAOtNiUnbtxn5nNTrJ5Ken98+ff4APXH/wg93wMScD7IoCFYc6r+EAL7FauqIzmzommwZbSqwQk8WgkvFn02VWobrz9KoWRV3G17K4KZkHXorqAtL3TdBlIEXA7Ic3njl3izoxsFFW2TTHIYbv1IHyp0/4OjNziQLdVFfQ1kqCZWNt3l6bJ5JuxVc4ro4KbIUmuyxhL5t3lKN6ThDgj5FYPIdDDSk0di9gfpTLFmzekuZrVKaiYoOx7p9v9xapMYhzcrFo3y1pH1DIIJd94GhQEp3ry/GOMX62aTYdeShKDo/Gs+GyugNW03Ws7777jOtY47+vEOiJdmQcwnjEWWJbxRjrbzzThz7l5VfF9PqhxjRM9FZcvZiiGaQLGTJUZlm7SY4MK5KYHAQ5QV3JSY2dCdPSEsVwjizIKI0uYxpEF09Jw4j1OkjqTDqPOxVsjYkQdxwD1t8uehkGb9mWyRfssVJVAQvt5aVOSUEaXBakVFNfzgRbTtmxprYomIkhjRmfdJW9cujLpIRHsf+hgIwgPWeHDzfPAbMR6BpSBz2kUEX19PZuEzH+7oIqKqyCYS9/kQ9Tsgk22Spk0M7hFOehQZuk/BEkGHX5sQojyjJJwCg2nABQH0DnDEdQTPsuHYZFuEYweTSclOFFXpOj4T+Z6hGmBZGTZ7ladfaB2ay7g6KyjSJ2qmkFQeI8C3iCMGvIeYBMnGsaAW8GDBMKDXemYUqPujNp5xaWz2vtjuf10BrHFSz8pqMHfgn8iBFu4cFAGsIGtxsb0dIukGYOEQq5tGDw0xi+bbBRffPqq4zVUYREV+aFiur+tD0dCmbf7i/4DHD06vJhDU9VHkGwix1NTS7p4Jj9LeO80T7KpmOItSHVNL9mkjGNUxXPixviWU4ZbZtSqs/WWF9wNat0Tt+4k3WN4pzpCcOJEKRC3tMa1dRM0zItrdMZTgGJgK93elp+sFe0QPU0daSLzXN4xHA0UsLWs3quaQZ4LZNiO/MRzwaOKXvgWKpVZwVU/CZd7BRcOd7d5F4hIzmUUvCc19On+/s7Hszoa+OKihccW6kXfqRENUHlWcqP2FtuzEYjzYSj+Zc/ZqXjQ6zXGesZgr/yo2em2xeuUT2fbqICEwd1dviQ32Cecp+i7IgsF+1knfW4otqAKGFS1biAFmri6I1fM4PJbqKJdXfedMA11ufPeKLr4jWWtdwQVJDj8IwGeQjWtFUgyUddnTWdY31vuLquRBDRAp9YYwHJZjhndsEWyQoJ4PmuQY6LKS5Rt9mO0Xunx8TG2kvUxebWtuNzef0Cq+yqfi3U/XgvrO64MkF51jSBfObfG7GfevVZHbDNsBDuLezQy5bXST/JTKs7De9tANo2wKeK6nauqHrB9c/vLMYj1LiKCgC5ouLfkn8jU/pNOUhAkhqzu4QNcOpcwJPN/DoA6z9dtsY62l5pKk23KWKM78KAnO/C3WWtzva009ELedOsm6NObDeucydlvPWMmmOdQxhU5/vdjVQ5CKpTkXwQol9gHRRontr0a3mn9WSThqaeMbIs+i7p1nQuTSRKuuRdNFm4wGZWqB9/6He3D6PCFDzes6Gimk1XsXUbCRE+dkUVR/02xR7Bus6Kzkoq+q2kLmKwB8FF/AcuU1Y9jcUTUnVoa6xJ97wDG5MJtUc2nO0ypsqK82AnP6buPEWlpVXdZr1DXoKnVV2J7MCYIeo20yk2Nq18gs5d49atfzTEujhMUSf9OMYrPlahB/KF6XGK9Ass3c8H+TMAe2HFBtY4OhScthOhEB9urbHVY01XgLszf3dyFo6W2PVOfORnH+9J3r81VVQ79XwyNTeVvJk+kyKgwYvcV0KVtDg9NtS30q4Uv22t4yIruKA0uLeIR7adVUJyjfVy0WeFbsXvN9c+Px4e4w5Wp66FQnWb6WR78/YqM6cZqKbOmp82XU1dWURNUyfWO3Vl6HpH+erkuFfifr5ygRXbL/dKM2euqMIC43zskrI7yEi4ursZJ8UYJjMDdl9tTjMNLBTmwTLJRSzYksCrqEg6vtSv52FUZQCHj8KKPWb5CClcUojbgYpWesMblYC6kSYC5NG6o7qItcdhXIraRlgRC3kiyL7LssNH/Z55HUu2FjaOLk7EzO8x9ewpqOFGSC12UwcCseoMg2LIitU13Ro4wzoi8bzYrV3J38Z+4of+lb5kbIDPUgF14wapE+NFuG/9IHUxm506DPBhxMaXtysXWOWK3UheXfTD7SkcZEWR5u7cdNJGH8RhxXsSmOy+SpP5n6ywJlkJNRVd/arLJOAP/egraCRBYAo/jErza5KDNmPxqLwHCAoPN5Jt4R6TWalTFnVkXHh2uJUEYTEpSArLP7QSn7uKp1ixbzyECgEH6adTUXdqHtVgr2MN+KzQNx9WeRvrns9Rpolc0TtZo2c6odgZr23uZAPL1QkJPF4mNVqOyZPdB6D9GkmC8X0qY5Tz2UjffprzRL+BTrB6gZXiC1r5gw+MsRWV7AVefnHISg5ARO33w5eITYw5bV4Ze3eiAJftJeNlT2HDEyISXTvJeicnA4tEZ3HC7/SRHyoqlofxW0UlTUV6NAa1WVil2aMDbxvccrXlNMnCYnbruUp2dvDcCpKscAZmsHH8y5hm4yvUZdAUdavWWJv9CfMnGwgWJmm01tNbAF7y0Fvkg+5Bkwy0OMWu46KgnY/Mll5F28PqLJgRv9s0iv8bzG9T12O4okbNAuu8c0lIsalmMdkPPnhpTVpfPVTH5hZCN6uKRuOf+I0PY3KP7YV6jtPazwsVZofBcvcVNEBDl78/bk+npyeg65iJ2rEXzbROKBpcOihCh+QUqaugN1dOl2pLj4OakZQGTA00MUQxX9CS8UJAGn1B72ADjwh6aizHAJteaj+PO2fTIzDF81GUWvspQjzrZTMYGaVHboxyLEWzER0HqJ8LpU4sTu3e59o0D8TA2ZSyf0V1zBgJATK/j3mZPtvAzu3p40OzwCIwVEdQapCcGwipWDKO+Wehds4SbF0ElMSSowDjiYA+i/tmR4CmmpMKE53yFTR0vYalw25UVLf7LaXroj6dVRrkwlTUZBgxwOsAP0xkzLM3CK5NfYEoV9Lt7exMqQm4kKzjxIQOr6uixvIYIPe3bypE+0wbAVVHnWWADEjar6bR81TmUMvGpBohAOaL9TqsJjW6ztkaWd/ZQGoBJpP96FDrNdvAVic6BtoLLN5HZTMl9riQkHQSIjTUpkX6YDl76LuMCRqN8kMs7ecMBqgs/oj9eG7V0R1Un3AflaGAvoLmE65R1VdUMQVW0Sq/Qzg5ACwDIED+uxoxgJyzXjGokJ2JyXYRyA2RlZMTcjNdSLUdNmaEn7ttjRV6BqllALOASpGByTYK9iZWDQVkfA0DHRrPLipqGadRKIB8UeHQ4NR1ucahB6LxAGOcRlFkIkCWgOYiCAB3GufbmNJo311jjBtWUWDRdPuid+d0vEsmuxMZGWiyIrp/D77DPQDdxZCxfKOx25i1BNAzwc+IThXVDRVV/zWqoK6zdsUW+A3BXKQ3QIN/OUrWUWjQHi5pxLu6wXnH11mjMY/fl8wXVkwDzbRW1Wjcy2s9m6yRayzznHeXCmpLilpbVWysir1SjZYCDmpMqrVsG1+qcZvRe6SlUTgQ4xMUSFeVFzotnKbRMeA0diIvn+40ykH5xOaRQY12Hcibq+MySBVYtqIyaye9Ie12rKOWZotSE2HYgDvcd9Add8ABFiSVpDA9cp+znK7K8AlVVHSZigpraqBrVHh6ghuoZu0ueNSkJgVZGwODTvbZMKAODoPTiICU65uSC7bSBEsBMxBNaOjAwGj3AEpmaoRpiJrXz6ixBvxdYZycfhtrnRLVyAxQDEgcxDHX9kQ11goqHg+NNBYulYPiicKBYaBmrmis9UUxrsDAcRoNCVCwZ2CcxoB53HShRoF0YOCAcyuweB/lP/CwM5IJ+iAHp5XDzwIua3GbDcKGigm8OGxAhOuSZtMrJ7N+JmqBXghH87iiuuMRCmI/3Zb+fJNqq1dVcv5AEyN6fc8eWUBFKYDoJwaewiAiM9kMITNzK2HZfVB4MDKJlTvdWiBJKhTkdbaMGEms4YC4IwoMh2+fX7778uXLrO8rFOU9wUMPwbfgCyk24zkfYhkQBvpXKYUnFv4Q2T1mFiraDStclXYxAKTg3AmpOcH0yTYK4H6lwoFIS5OgpbGc12kaHQlOY7pGf8Hikc3E1Ee1K0hyTvXbgHLqBo601RQlELY7HTaWqYGIJok2GwVdk8I1qvctgeLqw/35+eM5R4QyzsnqxN1+xpFlw1ZRIFg8jidle2eJgx3mLVOJRkcCmU1TW8zHLJ/YEr39YwBUS+lGgh8Ie4hYJbiONb/GSqfyPcbdGRb4c823DDkSREpbJOwQFJ/Mjx/RCIBHM5kFswaOfcX2hAaKMK2IDWkItImZ1XbYUMDE2rkyfqaZ4zSSFSCVONhlRadROs+8v2D4bsZ5SLBlP+eCj3jaYPOlCeKC/h24Ctq5a5RKdNf0OCfiMamo7hY2/6EfrmLu3OnuW7ejZvyeEUKelZQ35D8yvj4UmiiBmsHpxrPQIkwFLbFgXphZvR7s3MPv8WYeFDL0zZRTb67B0YDkWUjCJTUWwLXFz8vL9klFjIyNhFMktCmNKcq2WxekIjcrpGqAaBQzhQdqsTiqRJUP9pWWz+oZWa5RkYRypT2m+XO1NFI80OZAskWmr8U/dr0SQn5XfuH5o/cbsd8TyOx+t/ox7nDPf/Mrl1NAZlYqrZm4BeoQtQT25RmpqBwWrqiyD0yf7U2C12emM/B4YE2h/dfuwYgCWhIVF3eOUjvOLaAOEfupGYGw1F/2kjohgaa5xLCX2H92UNovMC9hb2Z2/MYDsCIY6l9SY838vkJgNFARyU2YD1ZuJDjJhxF8CqV+CIWGjGibp5SsYwaEkLZ4aKNgPrdiXdChznx1BsRMUKQuOUZ7wszYFGnvIeGstKzASucfncWetvrYCxbOd7hT2nE7Na0Y/o9+67y05FShqS08+PGe7hIVnkt1ew493jOBYeMwMUi9S5FcEbVdogJWifyzjlp2e83GthhMbZVyz4ZEBUi+wF04xAGXltGhqh0VEJX0wrwEt8IDVHFlwlx060WN9Tb9nndCnbQ0bZbHQwUJFDpKVV0ant+bdqg/suE4yAOZSW/E4Nh58XuxUtkx7apoYLJwysVm5hwq8QCQgrPQqOAwkSACkwVWWYzN3qOcTeYjHkIp/4RDRl0G3YkqO7jM0iS8Q0V1o8d7Zq9RJSWic34yRSkofsxBC/fD4fYjP7oYxhUVFdjJF1/F6tGalB7tzKCKzKuY5TYPiDKr3R5EhA9o7igCmtHAWH93dDyAu/68GUTFNRbueX/98l33ogsqiDQeLI2MMs0bD5iW22mioniiT290pF6HoNVSKjywHSkeDEVzcyCUapmZpd/wwItimlJBpevQrKVZpWQ+X4cxTi+UWDCMBIaf5F6RyQv06A7hT/0gEsEvtOzFj4U+VvreEnd2Vvrx9Ma3SZmC5PaBRydMTe4Om/JBfUajUorrKfxAQGcrqiNguZ6Uq8OOs/rOed2Vv0U++z+oXnImdREPvIf449AyOZMKkguUUnLAFVxm4cSDz4nWMXz5Ov3vCkvolZgQIrSMfcxAMtsGwFfwMH3JCLyBS0YCgteG42G4UqfJO7hc6Yil4dlnD5+evCtYNbFnBdDvqqD1J+aPeV0AF++jrMhuoXulrdDzCJYYcX964+s7AENFFVdU9Q9MX8KUJIgyN9LasCN5odqTpOyH6iyzyKZLmAYe9itiFXMnwbJUEAmkkqrJmRRwjTX7+Vjid1jqk+wMR6PfrsgGxB6UKgqPiWpQKlQwCXbbiEmPtDcojUiqaNZXym9cxWWxzKKvtMDi+UolJLzAKEDZN+SF9qoY6wWi6y86JIXaKxKEiIEJtAPAjzse0IQK49CclKzRSdWNhpycjI/77d1WlXg7/nH79PmJH+85RXsO3cD+sH32qiUpxprESxECpEnqUZSZFRVSWmCUJAaWTqMriQgpzSJVGDCIXkcG0XCi4tSgYEhaBMocPB9r8jNIAcm4VcDhRHV1xEw2SqfochjySrmqpizNwFSoECGDYtiZdjhQUSoLhESVsaGi9GBI9nSOUkeFqDOouHXXkoVbP8C7glU/uXeGv3PSqsA/EpnbavDsJjys6blXe/38HLB6iWYGnuz5LteopIZ7uuPxGVbb/h1qs466ibwm66Z0j4bBYr4fF1gAGxXdKtYRwEZZFydgSW7gAUxFYmi+CxIgjxid+FJTeqAiZ8V8S+fVWP71OQqLa9xKN2rkvKAbaLAUAg+edXEhvSOC+zKG2dpykokZTGGWhI1a/oMM1wqpHT9QKYdomApuleAJD6g1IzS+t8CqjWaXGSgG6nbOWlUhczvblLIJ7qDCnen2GhXKiRs+9aMvx/Ne7gQ1x/yX0z5HNdtof9zA8lT9c9VZ02J/Tui2C8qTgKYUc3McGdECIyj1N5hi2SDWKue3K41YUdI8sMZyqZOpOIC5xFjZyBs9ezCg5lSMlRk4xqtmduNY0TLfWCI5V8jKKmEmdKi4xFgVpY4K4+ZcbGxKMSE3uCF0+gosueAQU2suRJhBAr7eBJ2IiWGc087f6Ie/k8dCITaePp5ud1yBC5gWaJoD8aRlaCoxxRT/orwA7fzDv3Z1QjSsIVbrqCkMe9W2Sk4gZcKDbVdT7wsC2UM96+vyj4v1emwgJCQ2fEE1x8VKa4TmxkqNpfR3hd6CyKXOS4wFGTP1SnBAI17sB84gOY8o9kPvBctHcuP5LYrU3BsbioaSqEuMFc9Wk0wLhd7CyfRaImRWtdICNV0FFhULvg6bDUyjuTKwG+IPTx6nZqX6kkKndfLjPfGnTLQCgBYPX5/WOAAAIABJREFUo3rC98/sr1H5YNa3yEfbcEyJUNIBr1u29+nT6U59CvRjVDVoW2FK0qWyUYCS+/2GK3a5vVPXHqgbkUraQVo2IIG4SDJXq+USY5HpO/6u0NDBPNRdXbXczV5CQ0kWOsQ0a6CLggsi2WBANtONVGdT5EBIlk6DYTwAUTQ/XRSSvMUGLZTexDHC2K4CC85mC8kw8nW/iQUc0d9gjw+sUJCn0parqEAJkZGrqIixkI6F2vrw8TsKYw0C14YItyQl0xuR6dwAoFISidomuQD2CxUyToiZ7/QoypFQdiRbOnw2Binf6R2k4ySWa6yKvysUPsw66XWPVjCfrIo3KEeyuTYDfRCcooN6p9c6RINaxohz6nq8t6Zos0vHdQ8/EBdAb9oX+jjY9UG90jgCj5MZ1FtrY12BZR1tSg1JB7UqQ+NTS+gw/n7/uOQO98OVFamoPj7hr/t4j6DHe4Y/9TvgrzD1MHPyaaqeDENBREoHYpRo8U31j8OzH7c1Ypujg7IxbRRBC1WWcVByqnHm9mBxCB+4aEdfchWjww7W/Q1t83nGdvT2gmeQfvny3XdBc4QQYUKXj0vsFRubeRY2IISoiCyWII0yuFlvWGZBq3HZsPJuC489G6P1xkwXvdfwzFwYwxmffxwD3NkOFZsLWmUlCyz7kR+Ei4uto2mrsJtpq2aaF95yeiSOm3t/un+60ad+Apu/1A8VVZJAD027qe0zPfUNh9bZiakmQIgSGh0I+qvAJ0BHuvb1YGTQrvlsm6xHMwhsnEfsBPAJj6ovZs+CKlugd0KudIwQG8IHfg7bkxIcQPsEew8AcCH79fNnr8YyfAgVhpDDHKXTS+wF9mq9spFgWtFyibJTrTcqqbJDPa7s6sgQoq63zO7ZPPOKgVLKpZaZMqQKo6za9kt3u/pAQl1wkUH1e06ZTSX7TpmkgaNwPRT/42/97AtvvO+gqwJ8xVCrJPD7gs2XUATBu/3SVFQy6jD0cBowKdXECxjiU2OG9BXd6n6EtRHCW0sb7Ol5Ywh/RqhlhJiivHhkbKTujGwOrfZcmZEe6cYH3q8vLy9fvrzRd+lM5eMSe0FDVq/EiOFCL0KyeiMu6m0WQ2CUsaheniGEuSvPff1665HSjAl6twjxOeVQ6eF5vr0vuCJD+Z1oK/essFyLVifV6kgJYHcVlX+NyvsKmuJtcBjCAOihTd4FKtJDAZLIhppmX1RUSr145PRomCx+JsTkmuOMynNitTi6KmWnhkOvSrbyCSliRElvyrZIXyqAI1Nami0jvFzohsz3F9yP9fY69/sKgVzLxbUkMM/7VcycCP/jvCCSVaJaweSMCPsJEUAn8mpGiHUxhnUIySkJ9I+gmhzHhiQIMV3TE2abvfQk9wa/1Fh33J8CvipuUr3DHc6843+nnD/18yoq18EH+2yx7+MzTTsD4uc12XVPH4dSVCUMS3TNw6umCbZ6gb3ZZrdLZgKMNCyYHMZsdOUENPY327Jx0kQIJl2yC4KmUXotIxQ3J1q5xkrdj9Xov4Jp11FNLiYymJAzJwXYG4dcaDIQpwPMcEI5JJlaa0yXcEvrrZFXMdZEupc3KybLUA4SqUKMtBIRkoR79JZoOY2ppXr3EeFJWk/Dtj/1SDnM7bvD3VRUbjNLV1QH1TF7Yu2H6e2nA7bzAxha8zBDyilv3W+V1mHCYJspiJ2TDqpnnPKHhYSAXsBSsexlTv1PqLgkPwJpoV4KEn6R8wG3OyyvMllR75ETISjy8368HysybkBzv7MqQHGc0PLlFyZSgFXM1xkqJhfGto5KKwWqj3pl7fCSEWB2rObvcZLzKM8mZ+fw4iHMPZmE5x7ZzqruHiBUl+htLLDinMxfSgm2pKKS+6h4X/h4vt2j16gSgs5d0+wcoYgqJ9kuOVLMysxqyg4409TaAnxq7+/yGGAYL3ceKctmoq15fENHwPuxTLGRwvulOgykkZhqdV2+wITJ/rDwsSUFEWIWTnhcoFX+rnD+9xVuUOit1JDQFlaIEJbv6+hie4PecnSVatELxMSD5aTFgKY5V60pgM2r5kCh3E6xovMykobFdgyl6E2b3FJgRQzRoitmTkm7/6V+tEPj8Z63e/hvpEvE+WPoPZksGL/1QY45qnmpGysowvMvWQIlI/Oylhsh7yoBiy6XYa1YMw1X0/ECQXqtjkPkbIcKZz5R4ncMUQ8F5sLYEPFxoTCtgm0XKxDYRwoeLPvp5UnpOe9x82I9xLdajSWhInykWUn3xsCqtEN1haO7VRpObJiQ6m6ZtQKE7ZlWO4Qx1YYHhN+4UJDYptLNwZlxEDNZdLcUWHvUU605Kfu437wv9YP38DXJA0Ka9M523J7myjNZ5xxqiLv6qBaipaisVL3ycLdRtnCysmE92DhWcHcjfwkk0oX4vkdizdy5+5+PDJamNqEtVmhX8Cd2HtNnhfR8rNcv0+95J+Rpq3O2bTtlQ1YpucKRA9DQn94CGwSep0i+pcWzDxU5TYXZWZZSC6mWGN5DUhKfErNZjVGs/UBLanJPH+u6jO1QeLcUWNZfmkmnhFUK4ic82fPVL1GfPoZUVIJnb+H+rASx0pjCOsd+7Eda2wPas5IcXahbyVInhrMDzHAN7Qec+0gQ/pXQwmOuMRuqp2UHpoVYhVLDjCsp2slumTnT6gM+Mp2yyhZnxL8M8hoPs/pPcc/728vz59dXPCWrX1qthLPVWQlCC62KPlqu9bX+4rIVTJqWy6xmZ+lbXRIuHCrbaspO0RtgfLFf13riU5JEtU94fYHFiyylRLkP76zfROT7+/vzCz7yw6MltoSorI3FBaUHG0doL5cJV/D2QGUQXNt1iS1i3tx7oXamt6umStNUSERL/ZZwxdrc2T7kBOveyg3SYiizY2b+jkTfDAhmEbGqIC2DQNBnhZ8+XXY/VmEpvy8gVNwEkv0daBC9QbFaqmUlQZpfmgc1ukYt1U5g+cE01eRWwGJaJFSIIrwuyafXqRarOUg+ygsss7h42yt3bvVIfnSCebwn6aKvoAFI0o5S6/aEh6ePehkLQ+Iv3Ht8OLxBcvHA7w8IsIRRAro//3zcPPEs6sIWooS5oUCR/07fI30hvBrVytlQtgJZPybbRdEoq47qCXXM3nQtL7yOrtkAPn2y92NFv0snxJRaW8zd2zYJVZJe1HQaQTHV2noC8nKLIDDFNHHIyPQ2ITKL6B3Dahw63EiJfpBqJzZq1+zV7TFxnWqwgcIyW2Add+DjuWdL2yFVVJ/w/c3YILmM+ah+YHqbXjdL3SInWeUApQO9jeSygaHSUe+rX0IvgpL5SZR+UUUrG4OT40sU2jG8Ni7Ig1Z/128OF5LArNTlcppyydtNRusydZf90cmOGGJmx8t1WRj3Y+H7Ci/8rHAjRQLG/oyyqNSxd4CS0BoxhcFGwyCWEswuZGpU7cZCTKHq3TSNE7FAXXsJMYNUl7Bi4E1Ma45hqI4VWOG9ys0sMSw2xlZUqKsoZOka1cfz6E/9zmDCFp7HScss99B1GNJFWqWSop9yJEiaf9YZ3KxGbSKCw2cdx1yCk3xaMxsrj2ZYjiFYV7fQMNrKxFy87FnLby7mWyb2zwHyOsOzKo/MRCfoq46qOnaYzwrn34/F5CBWyON9MXM0qeZc2ePFqnMeN+tgBDNGpp/dimH3D8wZntHQ4y8xvEdCBlyimyN8qGon3I+Zc4HVlZ2DBuIb/Y4PTKeK6qw6ONs0OvSpQQV9+uYVKE0Moa1R9keuGAjeOdn1LMVeg3vnJ2zPdIEaeJ0HgRtmxQfjH2ckNXSTvh7aG1RWTdmYUd4eYbjWWqsySAazm83e1jCdp1hqmJjyKLnQ8Gk1llBDnCC8mWs65HVmz1pZb513Ie3GZLfMJdmY9FseOO2WX7XQxPBy7SZsJAUbflqt5lVZrrpdTWhmreEhGcc2Z4sJp32/q3KK4ikoYi+QzgIVlb2P6jy4sOV+vz8/t9+AVWReIZS+YUUVVZ8Kmq1kMK2mzv2uyhbzwR9plWA7hZySYQWoZtp9gAOr3bp1XZLmcEqcnHhxw/oPRsrOo3P7XX7oNsJxQ8Q0bwGYeaZ9UzLySGqsIc9usNwwM+Hl006ZBiekvcnrGsr55k25L6o5blpxCO1XhVzW6Q5YdmQtASsY7qyrBW/G24hNk4MCC0suvOqOiq3EYzsWR+BL/UTyaezchjLDCjB1CDIVFSTQjs2LeNxK7sAZYwE1D11cG/Ta30oFPVYXaQRbdhkMAxC3K71y4vN0emAwbHeyAGYmHku70z/vAGaWaTf0mBWlFCDF2vUJQY319vJJ634sYYdipiZuypjXtx0gBwiNi/T2MqHnMsN3WS4OeGiPx4avpyZw/Hmlx0Z+RHuplNZxvX4vi1h3BSsP03tDv25F5cxQXq+e8U5F4mArG6RiEGc0Y8pOzA5IYJ3exWWDlA4U5LaiCuIQwy4z74q0KzujKWlH57gg6WiE3itsN3AS2oUdXk+juEloj9Gl1c7XsZ6+e3390vZ8LGZHeGlj50LbDYdjt1ubx0+7o9B1Vcxfqx2r3S6rKzIt++JrZb6wwJKKCrdSYRXwP3p6wgWPyMsmsisChEBJgAo8rJZM2ZA14zDApoVDs9mEj60rnh+KKomiONCr3BhHNLLHBQ8vLUm2rI9ZG6l5XdlgweVc4ccWVTNiw9c+mSP6u8JPNc8gpYrEXB2vulgVs+tC2wmS5/cYwqp2iiIWy7MywXOt7Zdol1UG1eDHrbgqhlUGCwAVUQ1CSLt5y98wOzUlVmDtr1EhRPH0hE/fGRApgUP68D0eaQdk1s0AUOQOt/8BHAfoAD0s8mDe4XSU1i65vCkCKH+8iHqTMGdxBwYEmrpw1U0mt9IGpo+C+SEwkB0LHrRfm/Iu1G75ofcWMX7qfFk5mpXG3tlUyqocnr/n3cs8JjhVI/TxA2/bLWuDp3Z8pW8zw0X76HXH8oGEgsa3d472NAWjbY9q5xVk086OluiUgg5XYKGEwcOo7vJWiO4w/rS/RiXvkwokjhjycf+4he5wV80qeeCOfUQm/zdX/1xtHh1liv3707dNsWRucsylRQZIUNtjbfSQtchkA4o2z2U6hwA5Md8ZgpgYww9r17HlsaTYGuvt9bNL0XyBQcwYHzxzXX90TvfqSKaUo7bw+cTIPwIYTX6a3nTvEav2uWi/inynXcusl/vtyx2bCFdUT4lP/RQith2zvB9x86dh2W6lYt3XRB6sVdvkHYUVB4lkbrZE1AuQJ0UnCS70T+GwCqgjhvY43fLDjDQJwqSrco2QmfC+AtuWIAmgs66rzb9y7Zka6wu+r/DFrLAzQQo+iIq4mnwClg9+DqGmtRU1XDquNV8sypufMYIoLE7IR1ka2o8yC8/1zC9UuBumqP3ldv/u0x0XrpKvMZ+SJFUGOidsyLxaJSApmW01QwDO+KYJBpcZ4VYafzQh5S4FoQRimQw3qtqq6glOldKBM79EngkhBE8jP0clc3fVo3bYUWX+ef6pxTDECyxvHGJMG8AJUarhCu3yCeDTE9VY+LvCN1zHuuaG16vJ5wwT3n1MFmrLQSmHe32S3y4Mvx7+Lez29PnQ5ntubDxUMX+7/tyIYvw0BIj8P0KVTfZcS9Gm2B6OavAWgODbQhTxf7ZgaMPXNouBXLzF+mQEj00QoQ/xMyCErtjjPUNhkU3WXmvVoWWIl9cAhqrAVA5WML9EI1NEiwQceVnIflaI61iX1Vgl8INjOta8J8+GH5VUXGyxWB3ZnprooUoASD0Y1RHvkNVSuABlnckU+RkXXNqjJadU335clfn7qZGzcL0eGWxLgkL+z1LKCqx5wbxDKGrxiNGnmxoCCkEIQ7wjj/GGuFMZOuGxoQ7dNjUTe2HxKiWOmCHiiD9CbsPXNqvXBN35tMj3y1ISGbSQeegebCUrmBSGatSBMffqYwizmxOcg9BzMA4A2QVkXFTFgujyGstQB6ijA/3kJI4h+isTWnFQPx2AIILezgiMOfdk8a7BLSEyfJ+CduPohPLDVfycwCg39Nu1ua8phATAJqTYvoICK+PXYlXFAw+xCKueb+3PcIdacysVk2RcddBRjE1/4BpIQDJXC1RUGYq4eGi1dw2rWtGf5xE7zBG6YJul6DxwVMv0VbgzBPaWJhcKJH41JbKdVu+kAoA3S/FQEYDEkYSQ/MziHFdjVSzU8hjI2pMbQDHEEc/w5Af9LA3CnPyGfvHUZAA774B/psAg8WwQguzC8zq+ysOmVFi40NKEGSE1AAoKrLRO1d5dPHVI5lCjsgovkCJXYvrkaUHzUAwQ6UnPHZqqk4YpFVWicYhVQ4TmGOJ+2Q35UGWNFikNDLpUOeFJAHAc8VIb5asEgABfA5oIQE1uPUAQliCE5NS/emqsFn0hhEA+tMKQAgKaiaIQS6MBhIzetV0LAH7EVcQ7X/Ukivav4/m+V7H8GhoDe9Shs5PhoUEj22pWwRIFVjoySqg6VVSYRGWVzgvStUQxLh1UDVL8oopzWKGM82IOTVTk6CS+JqZPk+saduWCV1dcnFYuffsuDPoM+CyVhUedF4KjfQDBAcMbq5O7eZtHcVQ992hNosYaufZ2MGCFrhf8ooqsyLGkDmBnXsHJJQAMS3ypgADIxYMCtG5INkJ4D3XDUwcAkOr+HvQJAyULoaDAGsZmj5e2UmFblHoV1SFEeoA6USpCnLSyA7zfxr4sYykm5L+yuYdR8bfuVxh2ANd9ekm5UIt62EKsACJEIZYonKa/oLQkqQ3FVQDAJCemSDMpgXH6Bo1P9H2Fbxfd8w5uVbxgKwYOo8pYUgHQEyQEAPPH35Rmcre8wfdYkqgqCMUKK9Pr2SHxJeoC8CUXHhMADPWYKZyoMowXeOZj60yBNYjBtC994x2AraLiFd5RKvjipxyXW6sBxxVVoEiyl4ZUyMAS8y3xj5U0zBSDwLLqQJMwZRvCv2lMvMwMz1FunV9ebDQxSXD6IQyULcyKAwyXE7KDRwyIAmCqKEh63sfs11gQv1zHenl9e/OeQRocOa4xSkJSJa04XnaYTumDfyRnRDsJgPwVTnTI2A7BPygUt9SUNEK8YNJ8cmR/J9l7eokbKfA7XHmSWtHAAKD/gj+/cCiNFyicAyRlCiwnReUgoD8uV1Yj/oTwdrtxUtd8LxhXG+ph9aGOZFuVtUlJmazr1Z7wsaSujLz2bk2rqlAEw7dKAr3X4AlEUZO4tkCoA5kczaiHo7A8EUmnpHFxfQN6gGmRlCq+MhydqUq6kgzJDYj1P1aNRfkJtsoueIqnmI3Z9hFXcbJKDwMUQ5FSk199HjRFTiXorl8OkWAmo4a/zMK7kITE0s8UWImZ5bwV5hEXYSKZVPNqVMFQjjYwstAAgzsgoLPprH/bAs3b5fOQTp2H6SJ/tJaD0uNp/RJyPHFBdX0kHS1qOB/ydnHjSYqqlKPBYr0jGgxNTUnhS81T6CPbK4u8EWhXqbG4eDobuCVzzuPEu15p5Xvx8miUpNK8IgxRIqWVoutJYJfAlkMkHE6d48hq7VenI7TgHCIhWWD15fIYub4lQGNO6f2Iqaj8AQ9zXGJtszH09s8SRUGMWBqqzwc6TZGvtOPYY4poUoUPcYf10wG0cSqZ1LcwjeIDUTVwVEmtUezGznUEO110byEVDIaZzCxRY/HTS9wnNJSkODiJB92151x/OhBHUFI8dU1rCAZDQrvJ5tVX9aImsvW0pC+igQwCOLEritIyEhtgaLHD5HdVyq11xF6Vwpnw7zCnCixYGyMiDSQxy3ychRHmuXGJsWklE3vTRIyxgAsqE29ceFL9OfF1VHZl9rJmHzHZdsor/CKQgxNMDIPFMuN3Oh5TCCxRJKGHqLn1TdAiwHdZLDigs5GFi4woVbfBGLIm2BrrynveEUny/s/QdEWmoGDg3f3C5ckBSVvmCYNrsMvPjVLmChDYFYTBKc0GkcoAo05+2bVTjcFOsLsfmyHOLUdJLFCd78r+8qlqIwUDQKQKLDOoWKllZzeBtz7+FB7NJNG6Pjh6N/VijjYsQajBxm1OyxFiQqaBIw4ST4fpaRFbM8fTeJymdOHkKLbmnPMHJXROI25mbaC6iS0HV++pwAx7q9KHxBW5lqOKfrdYvptDnCNcrcBd36yTWh5KcBmuIPpkWpC0ERhKcLoxtsaafc+7SUjeNZiqmHT4tQ7EO1MwBAOB7KA1wanpEDwUVDzJbn5aRgfkUEAShsvLi0YMwtVWJ7CJQcb3W+L+jJMkpl7LAwIiWmCVIzsYT4baQoGrKfQ3xtX94357ugWCaG7TDv3B2k4k5oIeSYGWw7L0ZYNVXc2+cD7Oix+P4QRq30Brj0OLmMrj3U/+np0RVxIzw8i6PB7IQI04MFyxKCewPL4wpTxbjgjDmTWWcLXx7vF/OQ8SD32+KHd72JNSGRBLkERLEFRtbIXnaLc6DC6YtTWUyCPltL9RFsqzahirWdF7oXTGfO+wMQPS7IafR+2m6J5EC6wSNRtkzuY0RXzrrboSOdExiFK9byGMainscNYWjo8MMxmKY47WXkHwRSSpNCtZpYLlJMRyZciiDF6zAk/ydBouTVvGBM5exwtIQhcvPvQP9yxUQOMERRm30WbWYCzlWZ5KXDXM36GSyNw1TT0ZWmOZZcgspalC7+UhkcTQ6+cCp/JeCD2Uqq5M78QDVzhplxVY1D5EdrdESFBoMUsqIIPeJQV4sSJyiZxmbFIrwqIFViblcBQRCiZGhZ2MyRd10zIJ+q0Yj6UKUvxv+iuezwP7IAR1DRAZ1FPZaLK5LIUT9YtEWiJlVJrbPpwi05LFPIGb2T4ljZS5ZuvdsVaxqXPe5CUtqV8LOOznreJKHtRrLBNcFFYVdmHw1auDAJdfO9nFUuuJqMNsxJUhi39dSwWXLlRkSbS3Gtc7T+LHp8KGlpQPvfLT86076Dfptf5JzjKT4mM4k8S7XU+kwDrj4DJBij92WxaBU/GYB9Y+umZS/zIBRBMlukScFdogUG2RtGOoR106w9FFqTG3ADA4O6ZUceu4a0kUukDCClS0Uqg5L0MFZTOoQ2Cx38Y4L4NB09yoLNRYiImeZ5BStuPkD5KaV9kUKjJeFF+PXiC2jKO6KuiVKVQENW+Nc6jY9MWOnj7hnh8Cg/9yST4mo7Nd9AajonKfD7ub4e0khQssWWYgwRZaAJaQ2Gl1eHqQhfBQ3da9oYXlP9BaFETVfLqs9tjvvVWxUcl2TaMsXxxWEKwAL4ldu3N2cWP4WpGu2VSEXXkMIVmP0joruqDtsqxlWXl/fr493WtrLBteZvezwtp/q1LRnhxUYWxs7OjamsNHHIMUjlRZXPcaREWJQVSGsv18R/W2U5bMHTGGqCBAO48cfOO283oAviT/Jve94QCBgbNSU8CK2Xe4+7QE4ASazDJjPzFbgTELNNUblgCNIGmNCY8uCqxmWM0TE2Yt2WXTOBkc5gutGBTum2jS5QDEVqLCUdUeX13EreAR+awQ31f4mvy+wm09AvQAuogKcFkRn0NWNsGowJDyPjFmrr/UQiV+tWCkICb72MtsxAB3nzW7uoo5c/1Mxam+cd1zDqTYZY9AYcCb56a2kgtXsKCFc7Qj/eMDz3eZY2dKC4J5zh3uxbZSbNKL2YGLVmApymCxVVEJgQ7YXyXXMkZcqdFFtNcCCdjS2aRmjo/D8iURVhJfJWN8DYOOTQ4ZJD0iluKA9zz083LkrTQyeFozAuMSNnwDEzWWCTFajlVL2RdfekwKomwM1+5Qkkdad3SZSHZwDnMyGw4EBps9z/YTTnL70PiM1FU7IF59cyEVsoODjKL3qGegJSUXCiwwvs3FUcm0HVuPe7LZnbKByypixScqNWFIXxlWUl0+cghQ3vQMjkGM0a56tZWwsHBl5lmGIB60W4r5aTLi+u0cOMjRU71ChLHCXRwABvK7pO9S/gaMWwGGrbHeXj+/OLKMpwaYnBDJbFCBkhgzugvaXalUpouXpMkzasgFBpbKtVnaxieYUDOtpK46MG9hqGE4yC87BQr4gy9+V7Lh45YEftZo7sHyh54HfW0tSWvNwmKbiXvaPOjH1SSUrMnLQNoKgTdaYe1qvlbXbykjtvoYu8zre4pLAnQ/o/RMDKQUxouT2eK2oOXjcJTilXH0AVkQYJ2YjtHvtxswvLzyc945i3UIq526Mx0nau9GaoHY8VLhpWGYKoFy/qisXwLDQh74WwtGQ13lW2VgXP2myGMD6Hah66NNHB/mULLi1ws6/D5KCrOXosXi/U4vA29gzaFv536e3eyodUvfZkx82l7I4LMEjETXKFAHxibHzAIRSsSS1XwVpZBlRxpNVKQs+ilMIS6dYTBIcdlKTFOeEtaErgLH68Jopgb4ae/ZJddmYXUTTZgxYx+32/3Tp8+vdB2rTkrd6HwKWsUv4Shlzmibla22xvi86QFpho1adW7fDohsabJOwdxaM7woq516Qsqkk0CO2VP3rAbRDhz9MIQS/DytupoNY5zhyne4nyKA3wmbaAWb/YSOo8JKDibrk2F29JDfwhriz5ShQ5SUCdXcy8s0hkcFveIPNXmIGXuEMPOxVx/DwJ70JNEs74lpcQpfBUXVAWgnjIO05lNsGz1sVOkluuwGdQgz/7PCKpnxwY1pZwm/wCscpb51aKmPMl9Ay7GBUVVVNBKfgkeW85IrLC1leRJhymAYCBU3QKssOmX/qQ84nI2nzuqGU4FVLWHMBIRd/x3uvpuEMwNWgsPvTliR3UMTc8d1FYLvBODKA97szJpak5BOSxunB7OMYw2EGc4axZdOg5Zpe3kaU21cuvHAz0UVv6l3rWll8V4i5No8zdhG+4UYE0X4GYxF7pUaq/bZDSLZifdO2w/1CakPFbc8YQbwtBvTPVO0X79yqbbiBMKMnM1yjAFwYR12FlLSsgghzIfCh9rgbVdgUUq6NOBKfFDECmV3AAAgAElEQVQ0RlaNKapwQhf9hkZGESqFQcPTgVtLAEuknRWusHEpMKklwlQ2jjcm7cyalrqonAtUBrEUlHoOKkizN5cGQy2o4MEaYRhZGVhIjYaYooplOiazsiprrHLBWc3HARWE6KGILU9d1xxNLTsXQjBWMUjKNO9GifYDIcLbEVi5X9w7gJ2qzAkR0nTXeUZuZbdHCGaW2ywXBGX39J+DBSF8kbkSxlrDqaYiQzhYpRCl8wp2aLh7QU7zXCdE4UDwt1qRBWDTDxQc19Jp7iL1VRbnCbh+g6WNKLkej/ZG3swXqDikaYhysQuyXNYeSho0nmE0G9UzMUhIrUATbI6y+oot+Vmh808trpbxRIjc1zxYrSEtntZUXNNCwX6OeHWFcBVCBB2O8dojrTwrmc079kGubLtMCHpKpBwEqJ0KAyZck1Kp9uDdcas7AvdgJUXM6aRVUUwpe8e4iMOheGaBMURrZ4QVaEkO0TTHV+Slnnj68Sesd3xBPnKsMWc2NupudR9HpMUzTkOpZIlaF7tYn4Y5gThrTUHbBUESIqkNCeU1+uCUWBPmQrIr2rzrWJ8rpnUOdXHgyYFB5Bo2zmvWOXTLtIS0NtfoAN1LuRyJ8Ebu4oWzRzfsLBQeoozchz1Y9QJwmxkUrlQ9oTA5wqV26pFVehS/+4iwJByPAgac3+/32/NzQjCbY6zlXH20OTH3cbr0jfLzziK+fgh37HgLIUYs6nsrpCjbdnkyMjxwgpYlSpkHuPlHFr/6gMs3LWcRISmLE+KNX9q8kTzkVqDIPufdICj/ZRxfPoE3JNWrjP46rcBBsUnVHqZcnhVNuDKUKhN6BjvbffMNkouW7WYOv7UIpzW3TrbRA4+ktPKRSGlFpMWDfyuw/JkDYZaJPgCmCCBPm0cIUu/lji8zpH7UwfR6Af4MIo5ewpi/fvxRD3o8NAQsc5Rzs7yp+qzLG1moXdIjk33zealipdLQS8CcMQIGUK0ABkTFkBBhslg1gfqe2YixnxVmvktnm3A4Cks9DCo9TXBSJMIt1L54E9Zj3ilCojRoGhLHXCziqJ0HxQYoWZwXE+YkEYfDai8gQV2FF77thgqrBAY2ayuw8lbOHWGuu1FxAFPEDv6ZM2kuTEVtOoZtywbQLHGaKIfWNXVAlT+bE+rIDRRxNe5YZgsHdlhRB76O8220I8grDmzEcd80JBum5Y/gGtB1pE4cVhVyUUud7OgIdFCNhT9xen17Sz8fq0hYSlG+j22vDhVZq8ykYrSTd2YtnzQz45AIc3BsEW88iDgBXJ34TNud6jWclCCJxW1f4UXUcVUl1JWEylZgFdGdMr+3TxwPL8rBsTiMUdardoX5vbYZ6ngJzPCjuaB4PXX+XtWGxgYb55urM0ibCYdZQwPAj1S3YKkxRB2QYMxQPAfbY6frICGEJuaYNpyGqIsZEmn33RIZcmq+4zaMp3fznHf0tsg4CW1tKHSQCTlZrK260vMKkaSFqPTKwtFaQSbomLpaeLpIarX743uRxII8WXjJR4FypecAhr2Dtphc+6BRLS/66rPHbBRfqGLahDsCe8g4UfBZDYsP6DFM1gsZCLqOjA22u7+sGQwwI97kGqJfjTp2wSrEqC9nF6km7NjaoqjbX7DJOGZkN9Cq01KFVzKdxJxGoDifVKGwg3k21Vj4Q6c3/i4d23PV74SDTNSdt4YxWAUJZBdF+BgMTmqCFjcmcaBIXSeSBMjaLvILVz1qDgouJlGBMOD/giAFQCKxbFewgvPVGxmzgcxGHS9Uvb+/mzvcgzarA7pGYLVtmLAtFWCGY6tlXGPqUK3MQtFuJewxaaO4W+a6Hm8M3WhcfIE6UIwXEVcZdiZuK2cNihmAhym1JvSAId5sePqZTmipR+J8UgkqPo9rrKftOlalYN3hBwfZuLug0CHXUNxPjZYYmQdaYsN27cwd3F4fYzsxhxNDi7bYg5aiU656yEEYrZ1emDxOd+dLU5IK9xCF5GC02AJLG6IDwO/bKMsIiEQx6KYMw+I0XHUQz3MRROJpdKovlYjCx2tOFBJ2nRB/En5DzZugohy/3dbLZ5iREqOgzmQSYq46bn2tmA5hnUJ8gV3HfbYUqnZJmIiLkFdMS2R+GkrNpPvzDSAXqrHud9ktLo4ZVr9I6FosZhuNOX+3amODOtstlIu9w1YIBi0fCXtYOinTgiuLF7whhlb8NogKLNRAflMn/6SLNj0SA7FG8qYxKb5wWFKGaqcWoGI5bomwm/eeBrXFclRZeBxhhj7hbc/eDCO0lno/1irbJapk5dJPWrdfZ6TBqkE+YvaYuuJVCpIjYCrJrxx+ji57z/tlnxWadQvq8OIb8BdJdnEfnVkc3QIs4ej12RsNQuQbKOyvORoTWghMz7p2HwU2J71tAZIIWtQEl37YK1h03v4iB5Ngy3ctUIbTrn7pmXnbtuUBQyRYghYtknKSGIPARzcKgRx0CfpGo1hOPq3z5EqU0MQwKg5kaHJ8s4WQnQXTLLx2oi4YIc+yV4uF5llm8olik14zdpuVPJLPCvWfj5VUatiz0beN5Wi0zGzNlxwxlnBlMx+PFzC8kzMCQTgbzEo+gu07Zsq4kPDDRMULTIIEP0k4LgwTkqadm5IyZ+bt/W7Dsm+YQognvfrQpWa7zAJLOFALLErJK5iuPKQpaDQxGAqZvcvBGMNKXanJQ1RWEoxdvhg0pqg6wIKWVZwkuRg/DxBrTi19xYs3LryUmR64ce1+D31W+OljQo3lst+c2PNtbD4G/YC9AmAKGOy8DOZyPAZM+S7W7ICCiQKGFko6p9n4G8qegHmhrJdGYw2jnEIfJ1Jmos8QsmbYieHfoXxxf8dzhrHIl3mFQBaAi0yzfoWEQs59XVQQRwT7w+YcXwLG8cfsbRReAibGM0BuyGKDZrUfwYApfhmEk8NpMT/VLifDnWxsoLFrNe6pJ2ZOMXFuOQ1RbzB/V/g65LPC/frNY5coPcZwft6YEYzmWjA7AuXa5xhbq6Qu5aY0GCEQY+asLejJfETIn04y2waTxrW0uHGw//a0TIHFpWRNqAUM85ZEU1XlqQ9I93q/2kPLIK2KSeuii8ul3ATGwJ9AIvYuJdCAuRSDc205GApAYHZ1czv+aGgQmClffuzMTxygxgLQ/DNIEyL2XXYFg8UoA/sZu7NyT+2mjTm5BgwzCO4OBBowsLSJWF2GLBiNCqEbmRBFqY+ZkQjEsZx2i68QcCyw+F2a+cFwVPlqWV8VxugONSmvSKhnmEsnvB7me7QI7+KDLIfEXgGDC6QXj1CgWeFSDTDYjFxAoYd/5CGQVL9tGYaHwNgUfFCye2Mp4dUeZF5yOKiRU+5HoBOYwIWs4Jyxje/PeECW9wzSJm12EZes4IyChKcyMwd0TwPjExiLIYChT5UiYTzA+pRIArPMB6kCVDgUYCnow/peQMmdc/H2wZ8s8phLG6AoimrQPnYK2+aWghRVYzSuszONsM9RSIuhekGsUdNYXi7zlFnInOf4BxCBy5q3CtaGcb9XqD6tdUSOtzlRTcrwqNDpzVrx+ZGeAxiL8ZrfqLHwUUL1sxvsMoYteClChzTfU4qSG0SRaWypro0GicdhETYO1qXIEQuGkFPEiDhn20YuJIeuYA0konaJ1Y4vo3vEKNnLkI8J8kAGR2BXkKniKJtJiL9OCi+raUJcdtoSEhlto9zBnaQ0tqWtxA5wXpjvgjxKHAKYrOXgmOLGyMqINB/ELkVO+WeFu4V8MEnvdClyJOdrRjKTKBFYFiw7ZpciR1aSJjk7W6MnEofQLgDcOJy6Ltc45+D4EaGO1oYAwYW0O57GsswNWGcizMcGZgnE9rLzvK+zhexv2bcl0MEJr4KmQHkEQocmF5MsmER8qXuWD8ovIDw7btqAAsyjsYAQvlhFcdjtrAi1kea0aRp40hoqeu1nheHvhPbXcoXQjqFLkQM7NPAYFiGqKV42NkVAdzBvAjuPhBxhqVNUenpJHF5FjnaB1REjH/eP28tiBRYVVeaF8H/6tBg8i23x3/4C6E4jYVtZ7EJVRMc6CBtIrcwjLC0pqo5Slvpgjk0ZFAlHw71zU1RJcY92u6MBSdO2FHJyqM2DUHTYiqdIeO0gW2Ntf1foL+daaf3jDTkQZN3XL7NHQqOzLImYrmtHI54eCuJzxbamxRUX6vUIi+UMjsbjQTOHegWWRmY545vf4j77o9qKvkMCr6/FNlU201u2TSD0Jk/CWlV5QFgaT2DC0CZkTQ1ANoMAaxePmDwuzTUQSXhmrSuqq/CSe60iu1kNP6dscGoQhT0/a/D06CmaSzXWx8cznt3wMviWkiI4tBLozYZ381zZvFGjBA9Jj0SXrxiweWDBUH9azfFSwSPG6jrLcMgpsYYYM9bww8gapldN0SiwBuSXKhv6B4vDIIduYzHm0AYwawvot2AJCRuNYNHyuASyK0C0FxDMI/NnaHz8FRZygEYBGpJr2kw0ukDMBmRmwN4J+7MEjOYu0jCYohJsQuPb8/PL/f757f3ts8aWUaI4PYbdCmzOvenhw3s5eBJ4hEZaz5kw00EqWhJ4dNQUS9HCQxZRHdu7/LTwZAnoWC29Np6wqQs8afAbOOJJJZwVchi6zFtff9a34wMDkjiYRrA414V7KFfq3iORszo2+H0t1WReOOpaBMnrJFwJGHU8tGK5KAF1dfxjPE09b9h7J+zPQm7XaxN/XVFjBRe1/awwfD+WntkVktYPaWESOPGqMExpKJSGQlpJer0YgwcTK9kYRKM4ZShFTQXWgFCZcIe7OImcK/9FfTzAvPpYXHoGVwNcgCJEl6GLkLRfNhpBeH7pclASh0yjULkMoSMo2cmE4XmKdjPCJ2ZpSyx2BKSHx3OCdxhWP6zV4Bkm/yDY0BivTW2Ntd2PdZAw/9Rz2XzlAY2CRzpwjFdg0MQmAaCyylRQV+HJBqQWpHH8VBZYw6IFFo74E8LNQ/SGNo0+3aviygcWIkwSR6CRmaQ6dbHXFe/2qymgxUw08j8vKCewCW2kPbMQqi26ZAIFJCijp6zTSwkDiWKKxEFKUjvEWDxaBgagEJNsbgmNXGPVPx8roFataQJFhVgNk4hGOSqcNn7YOhSJrRk8zB4iviQgVcgTRVCrrrGswBq4ui0/tMZ1XtY7UgmUQA+PUUvaOmZdIEWyBPOAwAux9BAVzQXMGZUgzSxaCUpLpY8oRKvfr30c9KO2knJ5G0VlcyQmpaqiGTr0WSn820BSEl1mVmpULUUpWV6fYbJ+G/tWY3ks0qEwidiBp0wXH6F9aznMmX46KIqa7RBmDhQZJi9izVAEk5wfm82zE3MFlg0YO37F3/wGTN6E8ad/FeykzUv3rkhFPyYb4pCEeMswsNYHcoz4sGL7CWmWQEjc5BCVW68bNv4AStehSMw1eS0ebLS2uZQH+BCRPayxEy7xRA3qLEWlwmR5y9qOE56VRjXWh+b3FWY1ZgeoUZTVZAdYLqMxOR+ShRb+LWtnqeUvFDm4gtCdzj9QpyheYM1MOvUbtQtum3Jr4ebGf5+uzQiZEluXh/j8RaWo0TAJieCRNzDE2SGj5SJPEU5Y1IouDm32Zo0bHnVpy3y+DZ0Hr4WpnNjaA8kwKVGphPn95fn5vff7CpWwGDGGIpyFwklLl09mVmaP17LC2wYsBYlWGcxYbLmBIoBSyQChAks3lRVEwf3jLialx25XqjC6fQkVmVdf8qWxL9hrEgVzWcTJgjYsAkmoBInpsFyHZZXcoUg+mHGQ5HrVsLDMlFbOKABwkFzjtQe1kCQsgTkdls1Gmc8K397k+VjNchQnGooUJVpRQmZ2jdvh2+9ar20zhx1dD4nZBAy8xEocPPpyC7prX2BdtAPgGe7PL89BfLiJ1T5NXXzRA7Fnbhjdo7WalMtUuth+NCOSeO2CTQ5S6jQ5F0QmtWa6lcDUiUkCrhOlMZqKKltj0SrVh1daVzGQtX/kLq6bRT6srvLZoRrr7f1lvRqLg0gh4auQSfmBBaUThU/s6ONrIAkJEd8IORiyFks2L7V5xBZYCqHYBuA0a6uo+I0X31V1GlTbsI55tcj7x5sUwVGrHLosbrWLfUPfCRGZrgLIsunCbqmsgZACsBUg+aGJ1W5O+0N+k9BVV8G/K7C0WcM1E0Hym+yxYy8blnaGzu81PyuEbV2+s2yqkcmCuiDpuMuTMhMSb+tQGAxdDxNt+mux5BZdHrtvhzl+oVybNTowUbMJW/Tu4z9NQFfbpslTsSxmk0ZTTBQEdbHg88Dc2+nzjAds4WxLkVSSIa5fT2UMN+WLMtGpUfIJoOFyj0Ett7KrUiCK+9QgFWvMDjxAspXA4HWehGXveV/o+VjAeyAqaYHttGxi7oidowWShTbo91hIkjnBZc2FEuLeTRxkdqVYCQeAkoPy2fYKVvkMrZG7K1VYDJCrG9K60rTMbpeTsUciklhELGfGtoN4hJk6xjOfTCfxWSgzNgwCEO+UZJZ5AUpDvmiGT3SCRclQCToTXVndxK4+w+S7+sSaBds54ON+p7DkV6colel8HevTUp8Vwi7QU+I7Ck5+EZ0qdMSFFEKKC9DvEaNLiCrVbQlt55MxaUIqhZ4a1+C7qQWWpZ03LFvS4gYscXDKsrq+0WukDo3a6PPat3mBti5tEtVgzxd0JqocA8cocVnDZ1HArfZRKm8/5cQ0jAxcrMq5Bky2ZFVyQJETGqyQKS2ompVFJu7zJ5UOkYHXNJv7sV4X+i4dEIF1HPWdZbBmrStwa9QtlhBSRBUbLYxClMpqFDFR9xWjUhxYC+mmqDsgCm/b6X96oZd455c/En9CqPcMd7hVxbM+wJWOmU3hlGBxHUA/v732DEi87dtiZxydbq86xWdsmrRXBNySbqohKs3E1oulLv8TOZV8QgpmlKJiBRz/Y5cAIG3mzT8yEUpvROUlEHBcStQszLiO9XF7enl9m6WwSM+ZKGHUROdVzl3uee81S+9EvISiH5+nIY0NZ/c1CtKbBkgQVrL6BlzBsp/9ySUqzkzJ9ESlV/8rqaJf/KUSnCPZrWtZelV26nMIxSi9CL0sljp5DT7AFPixRVkdtLrRWniITvcmqg5C/WjDfoMT6nXZGSBqsvu8VR9dZPNRWT6iv/l+LDwfa8XrWAIapOEVNWBiB2BMDqqsccJMIapdiI6k1BAF9CO1ZMk5DChxn06BZYlm79jP/g5oxpwusU5GmGYppf2faRUlOtWoKuAVXRBchpQ1xHJ0t6JunadKuaowoiXIV4EWilJihOe3CjnrAZ4AKuu88/g5LWFU2rqJUhBaXPjPQVVlpf27wlVqLENpMKiqDBsweEH3UfjluHKUDqAkLBKQ0BFIC+Hhk1qzqNoLLM4DnAugpCe3mrxZy0jjtFo1M8dL1EIjM/owBq4W9Owys0MTNuvCnih1Qqywlt8AgEtn7cVdi878HEZVV3CaQOUwzStoGkGopPLbqN+OmkQqTNpQKQjbiTCUFtdV/mRkX8OV33rpsbmOdenzsYRSBA28JmTIwWpcrYuKr0vLuycXTcKeo9S1zzmA3tXcB8MTHqwosFxFJQI5aHtT3v1e9Az3vfN6le6lhc/skgz3KrZKFoBAOEn8lBKOiJ9hfQrCQ/QRq3IloNuRynyv6UFwlSOKki2/QEg+UO3g9t/CO/1U9kA7JPWZdvHz0u8xE3Odf9RRNgq86jqWkApGYlGKdoyJ9TZa2z1tRVQUkv47Vf5wKpcoupnICBDHPYoHMwWWywDENNOdsb6yO/UM94AoQjDrNVCXZZVSgIRLqVEDQZVCWHacsCp84idtOH25YAjZfZAGkc90BS6tEYdcp0Y3qxGALO9PTzdOoyN0tMskrvq2593ybweym9mPaidO6WTqdSxLK6jIwl+TrgVRCamdAZ91R8MA8fJqwM6oAgUWc4oYNX+00mD8gCn5NaOptOANfa06iVTMgg/EDbUSaDx2vLlMtICcOUe2f2g8sdpM8lCCaV31bc+j2PVCy9RVwmDBdqUDace7OQGEBelqQ+VnAB3G9lLaUO1l6J/RdayR36UjrFK4SLgWW7AmXYugcqz6pH41K7E4RhoH+k7kAuvwd38mpe4SXqMqhWkXwPD2mj4D4tt/m1w1YG3qI7OmbcFGv92paPEndddmhAtCLULpBc1PT3dUflAsOTVJrCa8Hem7E00t2rL8HJqWbaO1tgBISw33lqMKzx/TOqLGUmF1Tbpk/dXmLi3XiV7BcJC5Ll0cDUHMBxOmnTonvshFkWtuvM3UCw+TbXdu84qq9Pa/m/XYJ1M8ZVaRrQBUGZtigEFMeWqZW92Z1I3SqUlqR/ruxPct0bXmNT8f5enYELtRexoxpmFNutRqLEkCeqyuSRdCYzIwCVcoxSsRmOhdcTEy6BWBfXzwdxHSRwIXvPCI0Yg7Uz6+AGhOpYlODMtdU8lJetT+QcFtiKVwoItVtWGRnVErUM09mbcWanpigoRYotQjFceD/LiDcST9eL4bzCc0YsCn9mdFVS1nugyrvDv6xFaJ7R98BtYvs19CT421I7Yfyl7CmnQB4xxgtORZ156V6JkE9oxEEYUQ7hC60CcIw4Nmtb6/v0MV0nzgHqxZGOhmlOfn5726fLbdj7/sTNY8wYU/vV1qKKCHYaeHBbkEyJQqEBvZmC9mclbA+H6gt1HMBmxXINYXXXh8JP14HhUjlV+0+7IO0Ch5AAguYzVkvQC7xsshPNJWW2Nt3A5eL0QUK1uNsXF+hLm0/KCgidtxwOLhk+8RW8i0JqPyCnIjoBoPRsAofDkNMODnlQXW6S+LixNuzs5h/bwKKSyv2aKuvvAxjFcIlroKB6pr48zYCkEGDNOygKmrOJdmuaW8iZHqfj5KPJ5nFRKw6/JmEJ7JBdx3VUIPApPGaooTsvS6pMZ6fsN978mth28Lnsoq0o5LQXr29kvSj3w2s59bfWD9ZLGES4ChrpKEcLhmlIxyJYMLxKyZDQS4SaS87/eHZQEZ8SEr0xRHHe9xGY0r1vi49h6fMf+4XeIjzKTtCS96uJUJ2wrUcApPqpgSGxpgPNAUm71mu6urXC5wLWsBXq8kFX6oxnp/fwk9g1SYpBAhcmeHCulUDH69aFABZrglXtWIlSUAyXKgZ3GvpJnA7u/vyLa4WIXXGfelBRavpDOmBVpMzuRQXCh4hlxdmE03cSs5VHGpR40QF0a7L+tAVKnf6m6qKq6ryLCmRErA+jNmQHWgqYp9HWBVKr3BJiPI1u+14/BaYHssu7NlgdHzsbxnNwi3QIvXzoD5JwxAIf7VkbcCm8AtvLYiY4MXJkyWTwMPl6wOnr+swMIjRvEZ5QHNpacSirLpL7DUL+WiVnkuMTpukUCnZlHoI905fLX26ozXqJepqIKBTCvvTvPf+XtkBPbHQJM3oe5wfio3gZuL2vnAColbFhhdx3p9w//4rHBqRiggblnSqoAhdDEerwKLe4dAi6jrFaQ9X8zXxUaFFXObLq3ElEsKLHI5/oSwBJ824Xt5Nn2yG7ZQxJXi/bhvZ1kG4NNTvcAbv7laNWOZ70BOV7jTXnTSkfv8ukq9fGxJlwG6A01FtFw9yGYFeiuAVyEcjNTN44V6s8NWAyb0gtb3zy90Hev97S19P1bWwgEDViPNmZgFZujFuOLQdcJ7DkTdV7wEYJrcaIW65Tn0aWCQvckFlpetZPcNghraKAEob0knx2C3XR593bK0BZjrREwv4cTynrvCxaCVKTpQDqhV+Yirfrq9yuTOK+g9mECnAcYDTYGJTU2wvYq0ciU2MRC95bMeYuQ40irMt5nBpxfXsXAzFsosHFSImjJ0CdJClgqBh1Ug0Ysu6Q3Nm9EG7QdgM7QW6BBa2rBhFm60goSGS0LTCqwrc5YEH7xALAvTaZdcCTaF7HSNKDV4Yp8QzOhK6B2DLOa06xDp2Ml3rNPtt2zIpE8AoSuTjMJ0h1t1iLBS8tjsyJLfu+RQMiE+RhdYXE9Lz2XYmF+KWiAIAcflK/xR4bcaK8RNqs06lG4QwDFeqdET+4BE1tQ6kJz1gq0cmFyywt3rz60XWScUWBHHR5odF50Hft4sJ9QqHQzOqqn9vRIsIpjw0MJmgvkCS61FKuOztABrfQyoQMsIAapg0UxcyiVews32zU+gMY1husOtGfuv6/bzgyIKcujKwTYLm09vNjJwGxYKrG81VkUcWn6luqqYOGWoJNs1F0IJNiCXG9j5TwO77hQfWmBFVxbQj7jD3UZdZ0Uf3PKmBGZOyeXIhGHeeSVQN8SXYItG2IZr+SPOkYLS1FVCbay+mWUQuD2myDDd4dahMMHQEVuZPhfAx/Atm14yqhlbifDOMcOxCb/mLVcFWLrnnWqs3POxKkSqDR1OWg1SG8BbdmhbCDU6G8cuxdvBhhg2uWSF3oZPAw8q5HRQgZXJuYiJ4EMjghDTjXZF09t88JIeXNLr7Xclw78HY+RSCgwFv3GG4z1DKKrz9GRwlRabGBZy14QapjvcWmn9jOHCMOAmAlgbxyXvOPJGMAP62MAwRUMHv4vfj8XM6vOWd5gZQSGM3HAmmFo4vs9dxcJHDRRIFBvrpbUDNvlyGzx//Xb8dpkuctQLrLKc28c4hxOZHQy4Lj6+TRYGvKKKWC56FQ4rkpUY1KAGU1Zb5HSxiv9YFet8NWyO/KdbDFuDE5xUnYMsb16WwNipgC02HUvVpSi+hxSSiV8NhnE/Ft3zjr1OdZPTIzC2HPQ0nCRRckBjmmBmf900snCKA7X4M1bQq3XJ6uBAxQJrbArz0iUF28GM78npYLMNx7KeGygdvcIHm99gcfUUS7FE8MIGWWi01nbv221Hten6E4DtHHKG4a6LKQpQg9gU5GqI6McmJEMOXhqINhl8z/ui92MBJew9h9yGXvGIKWaCSxmeh63ezAWx2U8DP8kN7IPcqlJglUbA5peyZSnLGLOq4mzT8tHYhVsAACAASURBVPUdlfFWZbeQzIJBc9XUeYNXxVXEgLlYFf9jH8o+CPIiYeMHnXDYJ86fOsZjKdfg54ryWUNHLripOHvbsNlcgdkDg2HlzwpBYBt1jvnMgY3jNorHYstAz3RLzMA+OciMHtl9v7/jIu7hBvZB1HUWWC3LDJUjPumMEWgDDHFMoRwb9j1uV9iLTaIEiaB4YZIV3Q8zFYirCTsTyYZf87eAUQGKH9tEdeQ6InTjtgROi7npF/VLPlkzjCnqFthRgp4px2bSBSbMyhXy7IbPr6+vnz8HwV/bWE5dOU6zxLopFgFfQdSVU1c4EpzIK/Zp4AjqmgusSDIusBVG3p53f/qIFpkHC8XIAjHf0yHtGzGzTG57BJLbwysRF+3cJYTuujiOqZAD/rpInrV17eDKSYrrVF9A1Jwmmy84kOkHGpYEOoeOdi2GukjsCc1CcruO1pn0FToL34+Vpq7c6EEka8ErN6R85Hxs/GkgLuvQRassTl14DQVWdyqjcopyopgKe/DKmj1twEJQum3eNh4wPJ5lFQ2PyL8JZmN/iwWYQ86avBBSSHd9AHYBvH38G5LlDcK+a+WzFahL8HOGJzzD/bOj8YRy8Xvez9SdLEg0EM1Ds3IfvARyhS4JrdEpBfLxPCvUGfxpYEWpowivQitWXCe1FFPyp1MLrN6YLVT9xfoepF14XiFFVhE2nHbt8oWjmaoiWZBVxl48OMV1qm8+bAlm6E2QjC4MSwyYD9vX+BDwBDCg4uWDv/ZYPitc8xmkYIa5qtsxTHKeQjOUfD/XBaymL7dBYdXx56gq7JUXWI2rTuLJrV4KymuX7Neq3RI99F1Rlrzm9TwhKqCiLheGrJWiCj0mQ+rtRhAYUjigLaUn2jcPHltswzlVVx2pkWsCx9Zv50kGLNGT/ZvEtOvEZ4VfxbMbDNGTeYa65py8c8OYE3V45nFWHV9u4xvaD6+kwIrmXB/K7tgt2tP7TnJ2weegO2lzT6Ztcwpm2SuC5KHJC1cBvRFRH14dulv3YIpoigzc60MftnYgSE0dngpTwFN9Ano4PP6cVHTVhrNJhSl2r+zrz9S66Cme+QVg4vgJzm02wXxWuOR3QsOotHOJWBmUX2HNDKUmioeX9a8KPFiHG63AQuwG9hRByb5OeOkCqyYiYCIDNcEUAU1/8rN2gRUBvlIzM00XYzg31jhpJSuAfy04RzS7i1VmG1oc8tEEc55Bnel2QhFvg9K0TR4mpJ3GqoNx8KpgxAYvAc8SLanDh7oEPB/Q/vgRPiuk9wfeuy/iGqzitTflmjPAGLR4Vexphsc3sNPtAeqllW9XM7xYgVUWE265Agsg+IhixwvfKmEhF9lhB8/6bakmfQ9eV5EFs2g76CkJUjz2ST5KHHqx6gBMTpuXcVAaNWaIznRHxap02JAGiBK/qOi8Voi+f8vssUzzfh+fchW8OKJdD38n9Nuy92MRVi5i+PeKQb24f2vhuU8D51yyATx4FktJDsjdBa9ggZVMu3axkroqVQVoFhhCF4YWgCEQDNdEs6Xa0r8Mxj2QLHfZAXt5+mfBFbK7WIUAuBxlv90ZEzLdMf0IwyCBsfHndhfAENUI4izUtvTDs5JG/Z6J0Ke60J6Z8Aoh+cNWvh9L2BYCfcxLHS/uX8ADXekMg158Hoirg0MvWcW8VkvgocCKZDxYxAq/0qJqI3N3iXdrnnlkuOZIk3ibqb1bV3zTjMRWt8YOAZZrLqniyDs0VE+tXcBhBRmuM91hmZ2tWw4Zq12HwE5jr53eR/XiBK52P5aQDdLwErfjAI3u9NpYOGsXYIsjDMKju6x4h8Yt7Ge7prVUEegKrFPWk8Chq1RqV6qItW83YAUDgdkmH8B7J1cEZyzceLwKuJRBu4tVj8/1MQwyXGe6j9JC5wjQYPoLjaU3o9L+NcR10ML6xioCK8Sbz7YVUsgohBXGpIaaGuva74SWjL19tLADvDiBwLo4QsCTWgpQwbS88FHgOvVDIYEosJBzTdqFGRImZB79U359u8PdJ3Q0276umcf+VUD1EGozxBRVQMO3nULIIsDC5rStvIxJme4wktZWiW2oHJBF8pgKc19e0LARuggN28S1mpd1EaoTed11LCKbFiixnXotTiCgr47w6UluYAfUSz4NTHmX+yQEEBCJWHhBN14iKzEuq6xsQApKmYSHHwW2ZWWOZ/tKrtLZZw4yU1dBGbiWfMiwKOAz6XEOwLAWYKQgKUeY4TrTHQaRbAW2IEIill8V4JOKmjtjCJsFqk/sRziabYqbhVfK9OtYxDcWZXls97tYPeoOApdFSKUVHjjwTI8KdXF+AL/IaZrDF3TjtQjWrxWGhIjw/NWzjWC6Np7snwFyWH/dsZ0hOtOts9xs/qM88nWzrcNXrxSTTPLXUHoVoZSArikx1Ah1Uo1FhRUQtkQ3zbHTG40cPE2sIkcvsHgBg260ki+3eTH3Ly2FMOiNBEJ3D1ZwonajeX+rLVZPnmY24UTIQQv+NQXrmasvCXZe4mTvYhWSYe6jkuXdgYDJpLx8QOVHdLofqZAiG69OQWOmA1eGwzF6y6VWIeR0QrJn8l2FsNxwxZHjaiwhnNjuDHCe/jWFoqL7nCgqrLjIi30auH4oBhHOK7Aowr72O9zNmkTU8LJcc+NxMa17sBnbmY9qYJknVlU+YB1QUZBtgGs0Xj82jzs/otkKF+G08czd7BswB1Neg5xxU7IIhfALqc4iHEdOoWTtGosoV8/f69N4FcL7/R2M07cG5sqDqxAWxqFbpDAHUGXWvAILFeqcB4KV03Ee2bTvbh9JOVrPkr/ilsN+jtMmGksZOl6sonkHCAWiJIkWDLxsiF2iG4C8lfkRm7Sao+A2v36+qzHxsrFBGoVwdOF1GTKrGBj8PcM2L/Rbo8YiyonrYZSvT+NMhKDbXgKnvw4sDCYgxMjFo9GncV6BBVqEnUIqLxlW6mdyMQFkd+c/klK0ZYF8u1kTpWtA+eIYJ6VLsbDxoXkEM7c8EiXa11g0yJ+QOTaM066z/sqN2eInu9iYddqF8gUJX5/G5hqLVhkiABZqL6BzXK1Po7CwZZ6zDd0t9GEg7i6ga1aNj7N6IBonFlhckXR750oBJv2Z5Xglkst1j89FZKJ3sQprSlMnLVEk1ct5zAIoglg0KKtKBkiQ47iEcaLRux5eqGLysPVBEkJ7Q9tkcsrVrU9jVY1lkznM0lw+WT7XpxEmDAKJJ5cR3U9PN3sDe5au2AAIQdfiyQcgJxZYMaqWaj8vNrlUBZAUGFOXYpiYq+uCCRTwnVVkPV8bHKZwwGW2sMtaW59u2fJFjRy/rmrF+21eHQNmj8ckZJbbjXaLOgGzRwPm4luaqbHe3t9foldHxIQLk/n6NEpIavma71+nN8vNl6xigb4+k5MKLHJV8eesMTZnthNgvoJy4ToM23tpkTd0A3DXq5bjPOyJka1FRBcNSqNEnMuAZs7Xz3EwcDWQQvuB89VABiPn0vQTRHRspBrr9e059Jx3yur8Os6Zfv4gvu6tp+X7mGGsemnlPLY4k7MKLP7M1ZGy5oHJegBnF6HCDqZv6jWXsOqoKB5t/kBAOOef+oQ9lsQjdcdztibYWGOnLawQ6TXTvo3tYsDVVY9Me++m28Vg2eS3zy8vb67GItY5zCmtlwmYMQpggGwpSGez20DCLly1grRxdZUPtQ2kL2Hc8awC69PHbaXg9giVpEc1FRoXD3eGPTtHNOjDR3vpMpAvm9CPqX8g4HldfJ0GuR8+/ixENKJyn4VDg4qhmViXdxDFs7IDV05wDvyFIIV2AMDL4QkeYMDe3cFRFzc+BEhcx3p+fbt9vN1f8DDtixmLqed4WCsJnaFK0BaGJX8aiNJq4CWrM0K0VIEMShjUeBsk9yiWd9Rj41XneEeDeDEfjsA19LoKy+J623mxnz05AxECjneIRWlF1dW1rxPIy+AUMVE06GwCBztxL6H+vY12GG5X/Zkk/RZDu5SzxRlmMsg2s5cGybzDrvfPL9je8Flhm42zZtGinhmWbXZlPY5PA/HCsOfnlzkXrs6GZEGep4xumXQF6/KdlHh0uyknu8bNarRDlpGvxQ+V1sw8op/LqmUsXARIjmjijd7l5sbtzXEpG9NJwuAXVEDjBEWD7dAQz9QT6a20Y+L6ZK4Hkngnzj3ezf1Yn97fW58IoBEQeRnrkRnAHAQJ0uXTQHqYVWvAB5S1NgVBtgpTmDejwJKEowC2QQTrxjzy/QLub7AgMIUTSaBdqal/N+aLVUBj64JlmcdORkXfRa9SxQBZ+vdlNt79XeYi65ZUOy7/CvPk0hX2mSnkjyOzCr5hHmhCC4rux8I9799qrCpOI4N9j8vfBoLyq65XRTCa9YeoCAdEbNqY9hkFFjyBx+CPwR+Uiv1I9vbdu5ng0EdsHFcThBJUBUPMOo2Xz/7kZ8X86UNhL2XnYGIeCqaU6NJxsscQ8/NtsUT5yde2rfibKdJbQ5Z6XeYfiMzLdjJmHkThlY6zbzVWmp/aXnwUCO5RV6381SyIissi0yN0RoElVzI8pSMOebXRBgPhtLNn1twICLNkjjCtWSZ2KvIvbVjg3hOTy3qz2FpPj0dSHNxuUCxZmKC/tK7yTQDoFZKaDyl4rFBUQwReFPKjAj3m9KBFFzbOxslBT8ujhvlvNVZ/hID4u7nLip4x5pJPv+RBEmoCZBCET1MKLM5FQyyQNAfR4HK3JbVo6xbQorRhDhUzDdPiUxqksUu9uuok4tQQV39tT3/clOMvJSUzTlIbhfxM8CVmAo9bkiXjLxoD3sBhA3tuU2mY22BrM84GXT1T5uDcwr4J67caq4k2miR/G3h7uj17T2Cf4/RmzP7EtsXuS2g+nlJgNaMLTSSypB3ZXHWDUS9cQvAV2jLbb42GWlFUUhFNwvvuitVZLYZmRpznTG8BAzOWXynRqXG4m1QC3tA/nasShY+SdonD4gtZsrXD/PnMz9dY4uXzmIE4mX1O9qnVcYZ0buEa6xWXX77d834m59wC4uUPA/FR4O0WKBXg9BnJ84yssuVCnAHWKsEXDO8vg9zb4oGX5JUvCxXw0jhEpRAsz1WU38xoynL2uAC8CtACPasPKeU6MI43F7KPcsQVG/zq3HbgKwlP2j+upv0h9jD4QR+nZB7V2u3t8+dHuee9I7R7p5ob2PFVet4lq6BQcY6+64PKOhqvwjm8wEIJjHvhmpiB12gebTv9JVoTgjUnBfbhGqCF0y37iMzCGTUgvidjS5k7jjPk77f246BVOUTArJ9wQV4Cp/BPob9A8APDo/NZFapkLLtnUNp/lM8KhbTJrsd+LUuj6m8Dv28hWh7PwwssvLGpWyec2zitTU9uCyTTEs+VvPOOyUlv0lzQ0g++UJgeG9PweO1D4qyUvN04jn0iMAzpQTbaB4oA5tmuJ8s+Grl9ITuAZ/JG22Z8H07jgAnko8b6/PoKGxf/rBAI+ygtdSOod58GtvE/B2epPfFxk3FOKLDitrqe7RPAkR8BOnUPfrDbk4ttSczaJ7bEwGJljzZQc/eq4M8MNfzH6qpHIxN4J2exHoY49/CbiraNpUd3zdxHobQBJ68+iZoaRvrGvn7+/K3GAoX3O565QB8TZT8NzPLd4PqszBEDZKFr5vw4yusKLLurkLVLXDqyb2TjZC3SUws0uOOb29VhEhwwhv9BYhfxQhhGkOvAULogQRd3Df3F0x7kSkbA4vWabAYiZA8Rq6VRcjXVILNk9xL+MRivSyB/z2ss+TSQb2BX4/8qVzbED6CWRGmDZH/KhALLc952pWq5lEZVvIfU52i143KY55FmU6F1QP+Nfj3EHxISCf2+LyPTroCWZwSMdpau/Dn5qwHzeV83i6JB1uQpU7YEFZsS3jf8r7EDfA9rLP5uG3prV3WXVW1UwMu0yaz9EoRDoY4tsFAjo0A2KwpsL8/42vFg0BVewXLRbS5WcUk1O+gLsV7NO7jqWmaO64ghXFcRF/3851RFEHzvm20WCrgATV3en8jtY0Pld7H9S0CX7+9PjUWXrFD33G5DSyvxzmMHql6EDSuwOJ+hWH56wp8QftsU9DxWxiZVDPwfFFNG++aBrAfaKErO8uoqqG/7W9oT7m/VwImSRIPUVRiQ3tepl7f/hKhvXa0MUCqi16pvsL/uGgtLAI9dQHijsEqvglb/hudB17f3LcoFFhEqbLMneWNPbkFh13xrTTGQuSpE+4RsFt/qqhSNx74MrcfhdB4Jba6ruJ8GyKDIUBr17TWAAVtYle8oDf4fgDsv8nH2LaqqzBa7fPijxnp5fYBnkILS8gBAXYXX7fY04ZJVMHDLoQanz2wcBFWjwPLepwPlTFK+6bIMmPeIxL+44JsfLDWlv6tCN0Qv7+nUsZcUGlqKKTyOvPwgl1sGpa0wL7ydSxf01vI+GWrMhJL21aHKSrA+MDVWiWGXjuFnkH4lNZa9gT3/pNDRlMtCfIgYUIcKq1sLLFlCcA7yGKeycDqrznKj3f2VySc3CP1rMi0h+xCkI4BLs4AX6/bNBbxAr5Ol55bTkKaGR7nc0mRc9STORjQr5II6aaUxUCdVfzQsXQ4qLwbKR3s3rAg14pDHqrHIiH0iQEjg+5jBP2593jshYvCs5geKARWosjYhqqrAwixyCO0jBd7DAzbg5lke/H7psbmV3DBqD1didJ8BlIReJcZy7ddVWAwhOMHG0MCvvU0lYQVJMvmoKBsFBRwbBeqxddXzghw8B7rbF6IxPy4G1C1EjfUoz8ci2+laNv29Hj4KlAP/+5jVyekR+EAx0LOyxAtOQrbAsouHfOlmFfH8cf+4vUSXXJGIb4MsA+Q2OSYv2EPbu/RvFCMW8NI4AS4RrdwlbzBoIJ3mRo+0FjEgK3mkkkVlm5TECUkd4mMRe20MiCMoHyWWgvXQAxH7QPdjgV0prXCX1fqXMx4oBiRsq9aXDD4shnCBJSsHOjC6ZPHYRbT/XbDq9hOuPFsRrHUDe8EHSFeF/PMricvqfhigqJjCWOm6rbt2m7E3LCEz6WvvRgBXpaogH3Y1UFIKDtBqHCtdCyXLUSG2HhG54pSU8mIuQpsHdh5hPyt8wjfpnntXaIEPUFoBidzA7lbHCtgSGGTxAq0cJEau0FUYsWJO0CKvwGIXUXLBwMEpbAXujhjWSatynQR4om54KPc81GeE/srnmgoXDqNuOIZQpD47DdNpIFgPdHWw2WjOS5hd7oZmVWaiRjnYi6F4Pmjxg7Z4Xv3A3QZRP51nPFDQymeFSAL3xWos8+U2T7u/DZwXBo2e3017ILQUsfHbc2XpyZidhfbkBSNoEM4To+zoyt/r1CwlwC9GCy+QE+hfFIl08MZfYtG3MS0MkCPYBfKjTETUZWXTG0chEq5RXI+3IaW6FaGfmXL4G9DmRA7sH43WOELLDRSyjxG57vlYK9RY8IK88FEgbmE/x9PoMDhr7Gl5aLRwBGyHCXilSXgpGZQWEezlx28senE1BPiaBW/8BEAFrsp4MmTVEm25EFwCJL9HobpKVkwd13WjF7F3WRiyKAAvm7yWNeGrAQZfDNgg5MrrY5C0Qo0ld1mBr+zjrOAscdlDkPtYC1y4BbG8SZTm/FE1ED4ffiz6ZkYkbSH8PygilnIlCJzp+9M/ngm7TRfQUrW/5AvA4AuBx54gV9jHThcivtIbwGzhF6K9clgaLTnCWxS0Li59pdFeCi2gXBktrQlaFqO88FBxixrrGX8Rzzc8Bagf2YTS6u3tDSsBpVW2uhIgo1w20syHkI3sBG7xqtogvHuwdK28OD3WGYN8Mjyfm32ck1aNsociMkL7DH4jqkPNUlGhh7j1fVHHdd3oEJDvXRvS08FmKqr4de46jJx/Ssn0Qe7GBTn9aMUX5IiTm9TJ70erDikh0FzHwn3lz8+JYVpdcASuUGBh4LPAl5fGPfqBQhe8rYxWsNG64FdV6DY6TyuSvno55BsYiX/WPeUmH/cibybWXqLXG/jtcGOA3nkQcSFPVLNZPWHDoXpUtdpVNTcKk2yFnzI/6I1G0QOmreLmMtMag4GdgVUx2ReNaMuoUB9FNdaXV3CEr55RF+4E0l8G8hf44nsDXWPbAXlzsXe2CUPWDAZJVud1wdwW7cFjYoWy52OlpoTr67vgFjDAWwh5gjb0OjbyE1h4PbLv4wx2BldWtIOQM46vfRMNMbv/cSCf550TnPatEQzQurDvVtkZe+oX5OihPswCf8EAj/HK7jBPXKjNUTGZVe1AKyFRNeuqwa/ffX5+G/VZIZ7ATt9vQ38b+IILVzo2PhS9SwWDhGVqNXHqykbvkCtYeKZs8M8cdIJmVSnGJYCXckse/fJ7Tt6Ey0e4AomqoVBNZRBGuEZ1jLo4ZEWwMTRwYtuKmPbmu6Uhvshmpf3si88IM+rCRBRdDPCoHvSmYt6WuRiTHnaUO+YcGLKAx2hukYoaS57zrnUdC7ajrgIJhbdY1YJ+LHolIK+NB9EuSLJsZ+kdUmDhA2R8dpwF9xUMIGeIGWC6OwWvv1Mu7jK4g+uiMk/U0V03eipRy25R5I//v71rQY7bhqFOvJ7coblCcpq2l+y0h0pnktzBduo+AFqtfqQIEPzZ1ow9uyIBPjyAIEVxJXLIpmvQ17GmLGxFVZ9mNAZ6ZZDY6Zj6x8Ydu2q1TzAeiZTaTRvau/2uMG+dSX4bCNvNu6wSwYfjIVFB7WqtAEuv4WhUmCz1Az3u7k1Mg07ZMgyelKt2I8dpQ5EKBgwRbV0VaUNWC548oXXHCd2b4s1XLcA3V3/uHSHihhlO2XWtMr45braA2R84mXblYW7WLjjUfPtu2o91ubOtY/16fsY1Bz3NKm+Klk73Nh7SJRvVrAxYpkc53SME+H2CpYmga56CTI4z9k2GxqF9zemMWiCoqU5BiQF1mleJJ9KHjgTq1issCQJ1SAy3whyU4Djc5FHJbV515o6z8iPtTc/59vc6plzd4Z2tCqAHvTLIFdBdRKXhXiFvYKek1eR9zMMxXAewRJ1L7z4E7LSZbhvDA4xJS8gU9cEDLph2rNOsyntkAFMWsqKIg6Y0LOAVJpf2Ybr4g6jT+kPBtVCsEHCxzqzEj2A1BOoh3Dy5I7WDjLS7WRgRG9XstBAAVPEDu2OMGAbUgRiGV7GOdf8rac87dlnR+200j7MqETXDMVwU8JyyHKneA/ZfwRrxEaMHGYjpB1/lrv4OGnV09atTRfMdjOLsEsukVE03uf7Vsehp0JyhJp8odduklI14VgdgmNwz7I1HkL06B7xxT/8MbwDH92OBfGy0gghuBXYSNsMxLLz5hrFoK+SRDWD/FSw8xqPareVNuNu/TpfdYL7gYtUS3vvQvWQj9JmcwQcq0HzH3CfUdE8BEQLW4XlwQ9Fb/rh5hPyhZnYJsA7gZYuv9DP5BKaxQ1YewZmxSB4OMK1j7Z7dgHkVHruA6RU/gP0+s5v4Bq2AeZtRMXcTX0r32uYw9l/Bij5DaI+k/Zkr6UBSoyOs8l9763tEMC1WiT8y+bKIs0z3yxW1Pcf9BD3EsZNAFbQ6KizNSW+AiT3YDFiWOC/NllF/bySfmjHvx8LjFuS3gZhXYRP7qWDDCsORnAOYuwk9eKdmP6G2Xl4KTLBG6epyuQ8aOEXVifVRuHFnIyWyefkF/8QhHlSpdagF3InKUShdWvjL0bOU5WkV3ytNceFS8pV+Bg3NJ4WTUwAlYWLVA2BtLAyH+fFy+fj4iEnV/cOD1thW9YcjOSXaN2RKVzUIbvQYv+K3okbJmFi3oxTf/qN5FQ/lyE0J6SlmqKYMpHTLi8YOe10m/UAcfYAO5sfTJWq61QIHxrQ+FSJZi+vqE7rmo/RUrKdAOTtfC/Bt1peOcnVKMgcjkjwKZixZ4X3M5JhPnx5e7pq8Ezo5ELYVRyF5izvhu2QVGJhQt2AV5wkWdvU1N2nPFnEtI/g0VKxIp5LCx6q9wm31q35NNKUkPoOAocMRN3Sp1R0IAJQgdITWuypxCt+28/VJ74Zr8NUPDIpD6ixo+SBQU7DXx5yCKl7HbGxcrVcpvdrm+Rkg8aRQ2XZM79JJ+12hF4Z8PSMGBqyOZGYp6iR4nG8RYjqPVynle91DA1ISZSSoasi1MR162N+nDop+LIhkDBUndqkZVwucAGhaLOlSG/BztoJgfTpsmJvSzCmFIrksW/NQ4eKWwmCLOAQMuNjuCA6QsIGd7gYevY85/rtCRxiOqgbtgPvYkDNdBUwnkyG/aOHxm1cwaBhve7Ruv631t9ZpiRCxL14pl+YtdFtkboaN/omdAiO6SkmjkCrxXAYtOQZO8fZL+91jWrrAgIyaWsES9emHgZjwYWp1iY2bNMd6fMJLUmzPeS+B/FRnVzyfopUKS8wSJN79JRFIrFosUGJyoTIaS2sflI3mQaLc+K0x622P2xNTcywQG/ALu0nDoqaumvEkgQ577CkphJnH52BN7jDilCQWgorcCpa50k1pYUUlMPM4Adyl4q4E5sI0ExcyfJZuKKgf72P+j7a+YGqF51kFqy0K6HeF73OsBSGFPkpsQDk+FGoiU633BKuenXQHkC4i+chkwVe8U1f7GhnWJvPdg5AvFBsWuhUyjZN7mOdICfWLXfHkF+kyu9L3EwYGJL/nJ3dxTZ1U5oXZQJdZpBVmeeYCutLh3cC4OfOzG8Zax4JRY2Q8uVznPtMzZs8JFsIR9sbDLreUUxG3wht5ctU5yxc2foG2XkuLRqMfTwcJQD4c+KNazwotPFhkznB0XC6O6fgiT7hrNYi29Jxks+quofwZX+NsScpx25XDA/vXgQONGqZWswEj7scSqxGYFCRdHhO2NbzK4ZFOzOWaftNFgjWx+a/MDndeqkKz4LRXt1cPxuoNHrmdbwLyMmLiIOGb1i0cWGSOTO/6nKQb6jH0t05FXQMfD5wts/Mg0dI1/pc65V1no1qFC37BfkkoxgAAASdJREFUMgGuBL0GshH3Y4GxClSr/CKVZWoVymcdYgbgjz++fzeYWkME6GQZkH9zRrOrXo9+kZVhDBNeJGjJ0TTnLdNKTCuaVLdqkQEG6bcxMJ2Vcb+Bcwh5E+eY+RiOarGUeE47Vq7RR3BaI0m1xqX6OigkmZleCfMqfiWzvNzG88YO7hVenp7Gej4WeOsrQngmcNrRpEKhCEmPpbnmz58/Pnz58vX3P/787fPnU/SzWOgDngriMPH3XeQIYV2dt1/OpWbWVXMOX+yIMxqnQZsOvJ3DaDdCPz/MTI0bAU8Gu8AWXeX+c15Z09skTLIs9ImQLAgW4XPYlNagOSsOLciiMuewo+Kvo1DuBpZ+H/PD09Pz5YL0NxZpg0ZIc9gA8O+3b//8/df/63rKHvxEZ9MAAAAASUVORK5CYII="}}]},{"role":"assistant","content":null,"tool_calls":[{"id":"call_DHG9JQeTAUb7ugKxuMookNJ2","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy\\n# Show the completed Render Result in the largest UI area for visual verification\\narea=max(bpy.context.screen.areas,key=lambda a:a.width*a.height)\\narea.type='IMAGE_EDITOR'\\narea.spaces.active.image=bpy.data.images.get('Render Result')\\n\",\"user_prompt\":\"Verify the final presentation render of the red sphere touching the white plane.\"}"}}]},{"role":"tool","tool_call_id":"call_DHG9JQeTAUb7ugKxuMookNJ2","content":"Code executed successfully: "},{"role":"assistant","content":null,"tool_calls":[{"id":"call_frjySSNGHixzpEfo12AohV03","type":"function","function":{"name":"get_viewport_screenshot","arguments":"{\"max_size\":800,\"user_prompt\":\"Inspect the final rendered presentation image.\"}"}}]},{"role":"tool","tool_call_id":"call_frjySSNGHixzpEfo12AohV03","content":"Error executing tool get_viewport_screenshot: Screenshot failed: No 3D viewport found"},{"role":"assistant","content":null,"tool_calls":[{"id":"call_bD9ZbcHFMA3MLpfnCJKtCuYG","type":"function","function":{"name":"execute_blender_code","arguments":"{\"code\":\"import bpy, tempfile, os\\narea=max(bpy.context.screen.areas,key=lambda a:a.width*a.height)\\narea.type='VIEW_3D'\\nspace=area.spaces.active\\nspace.region_3d.view_perspective='CAMERA'\\nspace.shading.type='RENDERED'\\n# Keep finished file current\\nbpy.ops.wm.save_as_mainfile(filepath=os.path.join(tempfile.gettempdir(),'red_sphere_ground.blend'))\\n\",\"user_prompt\":\"Finalize and save the exact-contact red sphere scene with camera presentation.\"}"}}]},{"role":"tool","tool_call_id":"call_bD9ZbcHFMA3MLpfnCJKtCuYG","content":"Code executed successfully: Info: Saved as \"red_sphere_ground.blend\"\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 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