# ds1000 / 463

- 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

```
# 463: DS-1000 Task

## Prompt
Problem:

Given a numpy array, I wish to remove the adjacent (before removing) duplicate non-zero value and all the zero value. For instance, for an array like that: 
       [[0],
       [0],
       [1],
       [1],
       [1],
       [2],
       [2],
       [0],
       [1],
       [3],
       [3],
       [3]]
I'd like to transform it to:
     [[1],
       [2],
       [1],
       [3]] 
Do you know how to do it? Thank you in advance!
A:
<code>
import numpy as np
a = np.array([0, 0, 1, 1, 1, 2, 2, 0, 1, 3, 3, 3]).reshape(-1, 1)

</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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