How to normalize minmax tuple in Python using UliEngineering

You can easily normalize a min-max tuple to ensure proper ordering using the UliEngineering Python library:

normalize_minmax_tuple.py
from UliEngineering.Utils import normalize_minmax_tuple

# Normalize with values already in correct order
result = normalize_minmax_tuple(10, 20)
print(f"Normalized (10, 20): {result}")

# Normalize with values in reverse order
result = normalize_minmax_tuple(20, 10)
print(f"Normalized (20, 10): {result}")

# Normalize with equal values
result = normalize_minmax_tuple(15, 15)
print(f"Normalized (15, 15): {result}")

Example output

normalize_minmax_tuple_output.txt
Normalized (10, 20): (10, 20)
Normalized (20, 10): (10, 20)
Normalized (15, 15): (15, 15)

The normalize minmax tuple function ensures that a tuple of two values always has the smaller value first and the larger value second. This is useful for data validation, range calculations, and ensuring consistency when working with minimum and maximum values that may be provided in any order.

The normalization is performed by comparing the two values and returning them as a tuple in sorted order: $(\min(a, b), \max(a, b))$. If the values are equal, they are returned unchanged. This simple operation prevents errors in downstream calculations that assume the first value is the minimum.


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