{"task": {"agent_timeout": 1800, "task": "427", "verifier_timeout": 1800, "instruction": "# 427: DS-1000 Task\n\n## Prompt\nProblem:\nI have integers in the range 0..2**m - 1 and I would like to convert them to binary numpy arrays of length m. For example, say m = 4. Now 15 = 1111 in binary and so the output should be (1,1,1,1). 2 = 10 in binary and so the output should be (0,0,1,0). If m were 3 then 2 should be converted to (0,1,0).\nI tried np.unpackbits(np.uint8(num)) but that doesn't give an array of the right length. For example,\nnp.unpackbits(np.uint8(15))\nOut[5]: array([0, 0, 0, 0, 1, 1, 1, 1], dtype=uint8)\nI would like a method that worked for whatever m I have in the code. Given an n-element integer array, I want to process it as above, then compute exclusive OR of all the rows to generate a (1, m) matrix.\nA:\n<code>\nimport numpy as np\na = np.array([1, 2, 3, 4, 5])\nm = 6\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": []}