python-humanize / python-humanize/humanize
intword: values between 10^36 and a googol format as huge decillion counts, and rounding to the next unit does not carry
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描述
What happened
intword handles values up to 1000 decillion (10^36) and exactly a googol
(10^100) well, but everything in between formats as an enormous decillion
count:
>>> import humanize
>>> humanize.intword(10**100)
'1.0 googol'
>>> humanize.intword(10**100 - 10**93)
'9999999000000000610151082626636586748864734715312950532670947852288.0 decillion'
>>> humanize.intword(10**50)
'100000000000000000.0 decillion'
A 67 digit unit count defeats the purpose of a human readable number, and
a value just below a googol that rounds up to it never carries to
"1.0 googol".
Verified on humanize 4.16.0 (published wheel) and on current main
(c3a124c), Python 3.11.
Why this looks like a bug rather than a choice
This is the same class of boundary behavior that #328 recently fixed for
metric() (carry to the next SI prefix when rounding reaches 1000). The
powers list jumps from decillion (10^33) to googol (10^100), and the
selection loop picks decillion for anything under a googol, no matter how
large the resulting count is. Values above the largest power already fall
back to str(value), which suggests the intended behavior for
"no reasonable unit" is the plain number, not a unit with a 67 digit
multiplier.
Expected
One of the following, whichever matches the project's intent:
- Values whose formatted count reaches 1000 of a unit with no adjacent
next power fall back tostr(value)(consistent with the existing
above-maximum behavior), and values that round up to exactly the next
power carry to it ("1.0 googol"), consistent with #328's carry rule. - Or simply fall back to
str(value)for the whole gap between 10^36
and 10^100.
I am happy to open a PR with regression tests for the boundary cases once
maintainers confirm which behavior is intended.
How this was found
An automated review gate proposed edge case tests for the recent number.py
changes (the #328 carry fix among them) and executed them against the
code; the "carry just below the next unit" test failed with the output
above. The failing test and its observed output are reproducible by hand
as shown.
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调研方向
从报告中引用的 number.py 更改开始,并使用 Python 3.11 重现边界示例。向 maintainers 确认该缺口应回退到 str(value),还是在 googol 边界继续处理,然后为选定的行为添加回归测试。当接近 10^100 的值不再产生巨大的 decillion 计数,且舍入遵循商定的规则时,即视为完成。
由索引模型根据 Issue 内容生成。
评估
- 技术栈
- python
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- backend
- Issue 类型
- 缺陷
- 难度
- 3/5
- 预计耗时
- 1-2 天
- 活跃度
- 冷清
- 描述清晰度
- 基本清楚
- 新手友好度
- 52/100