{"task": {"agent_timeout": 600, "task": "dacode-data-sa-060", "verifier_timeout": 600, "instruction": "All input files are under `/app`. Save your output file(s) under `/app/output`.\n\nFilter the data for each season by calculating the quartiles and outlier range, excluding any data outside this range. Then, perform the Shapiro-Wilk normality test to calculate the normality of bike rental counts under different weather conditions (Clear, Misty, Rainy). Based on the p-values obtained, select the final conclusion from \"Data is not normally distributed\" and \"Data is normally distributed\". Provide your response in the following format:\n\n\"\"\"\n{\n    \"Clear weather P-value\": [...],\n    \"Misty weather P-value\": [...],\n    \"Rainy weather P-value\": [...],\n    \"conclusion\": [...]\n}\n\"\"\"\nSave the json answer in `/app/output/answer.json`.", "memory": "4096m", "runnable": false, "difficulty": "hard", "language": "", "cpus": 1, "instruction_truncated": false, "category": "data-science", "compose": false, "has_solution": true, "oracle": null, "docker_image": "", "taskset": "dacode", "tags": ["data-processing", "coding", "data", "data-sa"]}, "runs": []}