# ds1000 / 342

- 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

```
# 342: DS-1000 Task

## Prompt
Problem:
I have created a multidimensional array in Python like this:
self.cells = np.empty((r,c),dtype=np.object)
Now I want to iterate through all elements of my two-dimensional array `X` and store element at each moment in result (an 1D list). I do not care about the order. How do I achieve this?
A:
<code>
import numpy as np
example_X = np.random.randint(2, 10, (5, 6))
def f(X = example_X):
    # return the solution in this function
    # result = f(X)
    ### 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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