MiniMindsLab JSON Number Normalize

Normalize number-like values in parsed JSON-style Python data for stable comparisons and snapshots.

What it does

• Recursively processes nested dict, list, and tuple structures.
• Normalizes numeric Python values (int, float) deterministically.
• Leaves strings unchanged by default (including numeric strings like "01").
• Returns a new structure and does not mutate the input.

API

from minimindslab_json_number_normalize import normalize_numbers

result = normalize_numbers(data, whole_floats_to_int=True)

Parameters

• data: JSON-like parsed Python structure.
• whole_floats_to_int (default True): converts floats like 1.0 to 1.
• normalize_numeric_strings (default False): if enabled, attempts to parse numeric-looking strings into numbers.

Example

from minimindslab_json_number_normalize import normalize_numbers

payload = {
    "a": 1.0,
    "b": [2.0, "01", {"c": 3.5}],
}

print(normalize_numbers(payload))
# {'a': 1, 'b': [2, '01', {'c': 3.5}]}

Testing

python -m unittest discover -s tests -p "test*.py"