# ds1000 / 451

- 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

```
# 451: DS-1000 Task

## Prompt
Problem:
I want to make an 4 dimensional array of zeros in python. I know how to do this for a square array but I want the lists to have different lengths.
Right now I use this:
arr = numpy.zeros((20,)*4)
Which gives them all length 20 but I would like to have arr's lengths 20,10,10,2 because now I have a lot of zeros in arr that I don't use
A:
<code>
import numpy as np
</code>
arr = ... # 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