{"task": {"agent_timeout": 1800, "task": "463", "verifier_timeout": 1800, "instruction": "# 463: DS-1000 Task\n\n## Prompt\nProblem:\n\nGiven a numpy array, I wish to remove the adjacent (before removing) duplicate non-zero value and all the zero value. For instance, for an array like that: \n       [[0],\n       [0],\n       [1],\n       [1],\n       [1],\n       [2],\n       [2],\n       [0],\n       [1],\n       [3],\n       [3],\n       [3]]\nI'd like to transform it to:\n     [[1],\n       [2],\n       [1],\n       [3]] \nDo you know how to do it? Thank you in advance!\nA:\n<code>\nimport numpy as np\na = np.array([0, 0, 1, 1, 1, 2, 2, 0, 1, 3, 3, 3]).reshape(-1, 1)\n\n</code>\nresult = ... # put solution in this variable\nBEGIN SOLUTION\n<code>\n\n## What to do\n- Edit `solution/solution.py` so the code passes the DS-1000 tests.\n- Do not access the internet or install new packages; required libraries are preinstalled in the Docker image.\n- Run tests locally via `bash tests/test.sh`.\n\n## Notes\n- Keep the variable names/signatures implied by the prompt/code_context.\n- The evaluator uses the original DS-1000 `code_context` (`test_execution` / `test_string`).\n", "memory": "", "runnable": false, "difficulty": "", "language": "", "cpus": "", "instruction_truncated": false, "category": "", "compose": false, "has_solution": true, "oracle": null, "docker_image": "ds1000:latest", "taskset": "ds1000", "tags": []}, "runs": []}