# ds1000 / 319 - 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 ``` # 319: DS-1000 Task ## Prompt Problem: Is there a way to change the order of the matrices in a numpy 3D array to a new and arbitrary order? For example, I have an array `a`: array([[[10, 20], [30, 40]], [[6, 7], [8, 9]], [[10, 11], [12, 13]]]) and I want to change it into, say array([[[6, 7], [8, 9]], [[10, 20], [30, 40]], [[10, 11], [12, 13]]]) by applying the permutation 0 -> 1 1 -> 0 2 -> 2 on the matrices. In the new array, I therefore want to move the first matrix of the original to the second, and the second to move to the first place and so on. Is there a numpy function to do it? Thank you. A: <code> import numpy as np a = np.array([[[10, 20], [30, 40]], [[6, 7], [8, 9]], [[10, 11], [12, 13]]]) permutation = [1, 0, 2] </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