{"task": {"agent_timeout": 1800, "task": "329", "verifier_timeout": 1800, "instruction": "# 329: DS-1000 Task\n\n## Prompt\nProblem:\nI need to square a 2D numpy array (elementwise) and I have tried the following code:\nimport numpy as np\na = np.arange(4).reshape(2, 2)\nprint(a^2, '\\n')\nprint(a*a)\nthat yields:\n[[2 3]\n[0 1]]\n[[0 1]\n[4 9]]\nClearly, the notation a*a gives me the result I want and not a^2.\nI would like to know if another notation exists to raise a numpy array to power = 2 or power = N? Instead of a*a*a*..*a.\nA:\n<code>\nimport numpy as np\na = np.arange(4).reshape(2, 2)\npower = 5\n</code>\na = ... # 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": []}