{"task": {"agent_timeout": 1800, "task": "731", "verifier_timeout": 1800, "instruction": "# 731: DS-1000 Task\n\n## Prompt\nProblem:\nI have two csr_matrix, c1, c2.\n\nI want a new matrix Feature = [c1, c2]. But if I directly concatenate them horizontally this way, there's an error that says the matrix Feature is a list. How can I achieve the matrix concatenation and still get the same type of matrix, i.e. a csr_matrix?\n\nAnd it doesn't work if I do this after the concatenation: Feature = csr_matrix(Feature) It gives the error:\n\nTraceback (most recent call last):\n  File \"yelpfilter.py\", line 91, in <module>\n    Feature = csr_matrix(Feature)\n  File \"c:\\python27\\lib\\site-packages\\scipy\\sparse\\compressed.py\", line 66, in __init__\n    self._set_self( self.__class__(coo_matrix(arg1, dtype=dtype)) )\n  File \"c:\\python27\\lib\\site-packages\\scipy\\sparse\\coo.py\", line 185, in __init__\n    self.row, self.col = M.nonzero()\nTypeError: __nonzero__ should return bool or int, returned numpy.bool_\n\nA:\n<code>\nfrom scipy import sparse\nc1 = sparse.csr_matrix([[0, 0, 1, 0], [2, 0, 0, 0], [0, 0, 0, 0]])\nc2 = sparse.csr_matrix([[0, 3, 4, 0], [0, 0, 0, 5], [6, 7, 0, 8]])\n</code>\nFeature = ... # 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": []}