he-008

# HumanEval/8

Implement a file **`solution.py`** that completes the function below. Keep the given name and signature; your file must define it at module level.

```python
from typing import List, Tuple


def sum_product(numbers: List[int]) -> Tuple[int, int]:
    """ For a given list of integers, return a tuple consisting of a sum and a product of all the integers in a list.
    Empty sum should be equal to 0 and empty product should be equal to 1.
    >>> sum_product([])
    (0, 1)
    >>> sum_product([1, 2, 3, 4])
    (10, 24)
    """
```

<!-- imported from OpenAI HumanEval (HumanEval/8) -->

# Auto-generated from OpenAI HumanEval HumanEval/8. Do not edit by hand.
from solution import *  # noqa: F401,F403 (prompt helpers may be referenced by tests)
from solution import sum_product as candidate

METADATA = {
    'author': 'jt',
    'dataset': 'test'
}


def check(candidate):
    assert candidate([]) == (0, 1)
    assert candidate([1, 1, 1]) == (3, 1)
    assert candidate([100, 0]) == (100, 0)
    assert candidate([3, 5, 7]) == (3 + 5 + 7, 3 * 5 * 7)
    assert candidate([10]) == (10, 10)


def test_he_008():
    check(candidate)

You are an expert programmer. Solve the task exactly as specified. Output your solution as fenced code blocks using the required file name(s) and the exact function/type signatures requested. Prefer correctness; do not include prose outside code unless asked.

```python
from typing import List, Tuple


def sum_product(numbers: List[int]) -> Tuple[int, int]:
    """ For a given list of integers, return a tuple consisting of a sum and a product of all the integers in a list.
    Empty sum should be equal to 0 and empty product should be equal to 1.
    >>> sum_product([])
    (0, 1)
    >>> sum_product([1, 2, 3, 4])
    (10, 24)
    """
    total_sum = 0
    total_product = 1
    
    for num in numbers:
        total_sum += num
        total_product *= num
        
    return (total_sum, total_product)
```