# 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`).
```
---
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