# ds1000 / 430

- 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

```
# 430: DS-1000 Task

## Prompt
Problem:
Say, I have an array:
import numpy as np
a = np.array([0, 1, 2, 5, 6, 7, 8, 8, 8, 10, 29, 32, 45])
How can I calculate the 3rd standard deviation for it, so I could get the value of +3sigma ?
What I want is a tuple containing the start and end of the 3rd standard deviation interval, i.e., (μ-3σ, μ+3σ).Thank you in advance.
A:
<code>
import numpy as np
example_a = np.array([0, 1, 2, 5, 6, 7, 8, 8, 8, 10, 29, 32, 45])
def f(a = example_a):
    # return the solution in this function
    # result = f(a)
    ### BEGIN SOLUTION

## 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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