# ds1000 / 471

- 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

```
# 471: DS-1000 Task

## Prompt
Problem:
For example, if I have a 2D array X, I can do slicing X[:,-1:]; if I have a 3D array Y, then I can do similar slicing for the last dimension like Y[:,:,-1:].
What is the right way to do the slicing when given an array Z of unknown dimension?
Thanks!
A:
<code>
import numpy as np
Z = np.random.rand(*np.random.randint(2, 10, (np.random.randint(2, 10))))
</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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