{"task": {"agent_timeout": 1800, "task": "477", "verifier_timeout": 1800, "instruction": "# 477: DS-1000 Task\n\n## Prompt\nProblem:\nI am using Python with numpy to do linear algebra.\nI performed numpy SVD on a matrix `a` to get the matrices U,i, and V. However the i matrix is expressed as a 1x4 matrix with 1 row. i.e.: [ 12.22151125 4.92815942 2.06380839 0.29766152].\nHow can I get numpy to express the i matrix as a diagonal matrix like so: [[12.22151125, 0, 0, 0],[0,4.92815942, 0, 0],[0,0,2.06380839,0 ],[0,0,0,0.29766152]]\nCode I am using:\na = np.matrix([[3, 4, 3, 1],[1,3,2,6],[2,4,1,5],[3,3,5,2]])\nU, i, V = np.linalg.svd(a,full_matrices=True)\nSo I want i to be a full diagonal matrix. How an I do this?\nA:\n<code>\nimport numpy as np\na = np.matrix([[3, 4, 3, 1],[1,3,2,6],[2,4,1,5],[3,3,5,2]])\nU, i, V = np.linalg.svd(a,full_matrices=True)\n</code>\ni = ... # 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": []}