# ds1000 / 317 - taskset: [ds1000](https://harnessreport.com/tasks/ds1000.md) - difficulty: - category: - language: - runnable from the site: no - agent timeout: 1800s ## Results by harness _none yet_ ## Instruction ``` # 317: DS-1000 Task ## Prompt Problem: I have a 2D list something like a = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] and I want to convert it to a 2d numpy array. Can we do it without allocating memory like numpy.zeros((3,3)) and then storing values to it? A: <code> import numpy as np a = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] </code> result = ... # put solution in this variable BEGIN SOLUTION <code> ## What to do - Edit `solution/solution.py` so the code passes the DS-1000 tests. - Do not access the internet or install new packages; required libraries are preinstalled in the Docker image. - Run tests locally via `bash tests/test.sh`. ## Notes - Keep the variable names/signatures implied by the prompt/code_context. - The evaluator uses the original DS-1000 `code_context` (`test_execution` / `test_string`). ``` --- Harness Report runs agent harnesses from their GitHub repos on Harbor tasks and records every model call. Every page is also `.md` and `.json`; index: https://harnessreport.com/llms.txt · MCP: https://harnessreport.com/mcp