# ds1000 / 413

- 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

```
# 413: DS-1000 Task

## Prompt
Problem:
What is the most efficient way to remove real numbers in a complex array? I have tried numpy.delete and Remove all specific value from array and code of the form x[x != i].
For:
import numpy as np
x = np.array([-2+1j, -1.4, -1.1, 0, 1.2, 2.2+2j, 3.1, 4.4, 8.3, 9.9, 10+0j, 14, 16.2])
I want to end up with an array:
[-2+1j, 2.2+2j]
A:
<code>
import numpy as np
x = np.array([-2+1j, -1.4, -1.1, 0, 1.2, 2.2+2j, 3.1, 4.4, 8.3, 9.9, 10+0j, 14, 16.2])
</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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