Handle NaN/Inf in naturalsize

[shuofengzhang]

What changed

• Return a clear string for non‑finite inputs (NaN/±Inf) in naturalsize().
• Add tests covering NaN and ±Inf.

Why

• naturalsize() currently computes logs on non‑finite inputs, which yields confusing output.
• This aligns with other humanize helpers that render NaN/Inf explicitly.

Testing

• ✅ pytest -q

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 99.54%. Comparing base (85bb7e7) to head (c19e4f1).

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #299   +/-   ##
=======================================
  Coverage   99.53%   99.54%           
=======================================
  Files          11       11           
  Lines         868      874    +6     
=======================================
+ Hits          864      870    +6     
  Misses          4        4           

Flag	Coverage Δ
macos-latest	97.48% <100.00%> (+0.01%)	⬆️
ubuntu-latest	97.48% <100.00%> (+0.01%)	⬆️
windows-latest	95.88% <100.00%> (+0.02%)	⬆️

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[hugovk]

Are there actual use cases where people have file sizes that are infinite or NaN?

[shuofengzhang]

Are there actual use cases where people have file sizes that are infinite or NaN?

It’s mostly defensive: naturalsize() accepts floats, and callers often pass computed values (ratios, averages, deltas) from metrics/ETL pipelines. Those can become NaN/±Inf after a divide‑by‑zero or overflow, or when size is unknown in a streaming context. Returning an explicit “NaN/±Inf” is clearer than producing a weird suffix or raising. Also, humanize.number already formats NaN/Inf explicitly, so this keeps behavior consistent across helpers.