<｜begin▁of▁sentence｜>### Instruction:
As an Art Director, you're familiar with the importance of attention to detail and ensuring that each element of a project is optimized. When developing a visual concept for a series of promotional materials, you might find yourself needing to find the smallest value within a set of data or provide a default value if the set is empty. NetworkX provides a function called `safemin` which can precisely address this need, allowing you to maintain control over the visual elements of your project with confidence.
### Response:
from networkx.utils import safemin

# Example usage with a non-empty iterable
result_with_values = safemin([-5, 6, 4])
print(f'The minimum value is: {result_with_values}')

# Example usage with an empty iterable, providing a default value
result_empty_with_default = safemin([], default=10)
print(f'Since the iterable is empty, return the default value: {result_empty_with_default}')

# Example usage with an empty iterable without providing a default (defaults to 0)
result_empty_without_default = safemin(())
print(f'Since the iterable is empty and no default is provided, return: {result_empty_without_default}')
<|EOT|>
