# ds1000 / 802

- 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

```
# 802: DS-1000 Task

## Prompt
Problem:


Suppose I have a integer matrix which represents who has emailed whom and how many times. I want to find people that have not emailed each other. For social network analysis I'd like to make a simple undirected graph. So I need to convert the matrix to binary matrix.
My question: is there a fast, convenient way to reduce the decimal matrix to a binary matrix.
Such that:
26, 3, 0
3, 195, 1
0, 1, 17
Becomes:
0, 0, 1
0, 0, 0
1, 0, 0

A:


<code>
import scipy
import numpy as np
a = np.array([[26, 3, 0], [3, 195, 1], [0, 1, 17]])
</code>
a = ... # 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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