# ds1000 / 678

- 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

```
# 678: DS-1000 Task

## Prompt
Problem:
I'm using tensorflow 2.10.0.
I have a tensor of lengths in tensorflow, let's say it looks like this:
[4, 3, 5, 2]


I wish to create a mask of 1s and 0s whose number of 1s correspond to the entries to this tensor, padded by 0s to a total length of 8. I.e. I want to create this tensor:
[[1,1,1,1,0,0,0,0],
 [1,1,1,0,0,0,0,0],
 [1,1,1,1,1,0,0,0],
 [1,1,0,0,0,0,0,0]
]


How might I do this?


A:
<code>
import tensorflow as tf

example_lengths = [4, 3, 5, 2]
def f(lengths=example_lengths):
    # return the solution in this function
    # result = f(lengths)
    ### 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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