PEP 682 – Format Specifier for Signed Zero
- Author:
- John Belmonte <john at neggie.net>
- Sponsor:
- Mark Dickinson <dickinsm at gmail.com>
- PEP-Delegate:
- Mark Dickinson
- Discussions-To:
- Discourse thread
- Status:
- Final
- Type:
- Standards Track
- Created:
- 29-Jan-2022
- Python-Version:
- 3.11
- Post-History:
- 08-Feb-2022
- Resolution:
- Discourse thread
Abstract
Though float
and Decimal
types can represent signed zero, in many
fields of mathematics negative zero is surprising or unwanted – especially
in the context of displaying an (often rounded) numerical result. This PEP
proposes an extension to the string format specification allowing negative
zero to be normalized to positive zero.
Motivation
Here is negative zero:
>>> x = -0.
>>> x
-0.0
When formatting a number, negative zero can result from rounding. Assuming the user’s intention is truly to discard precision, the distinction between negative and positive zero of the rounded result might be considered an unwanted artifact:
>>> for x in (.002, -.001, .060):
... print(f'{x: .1f}')
0.0
-0.0
0.1
There are various approaches to clearing the sign of a negative zero. It can be achieved without a conditional by adding positive zero:
>>> x = -0.
>>> x + 0.
0.0
To normalize negative zero when formatting, it is necessary to perform a redundant (and error-prone) pre-rounding of the input:
>>> for x in (.002, -.001, .060):
... print(f'{round(x, 1) + 0.: .1f}')
0.0
0.0
0.1
There is ample evidence that, regardless of the language, programmers are often looking for a way to suppress negative zero, and landing on a variety of workarounds (pre-round, post-regex, etc.). A sampling:
- How to have negative zero always formatted as positive zero in a python string? (Python, post-regex)
- (Iron)Python formatting issue with modulo operator & “negative zero” (Python, pre-round)
- Negative sign in case of zero in java (Java, post-regex)
- Prevent small negative numbers printing as “-0” (Objective-C, custom number formatter)
What we would like instead is a first-class option to normalize negative zero, on top of everything else that numerical string formatting already offers.
Rationale
There are use cases where negative zero is unwanted in formatted number output – arguably, not wanting it is more common. Expanding the format specification is the best way to support this because number formatting already incorporates rounding, and the normalization of negative zero must happen after rounding.
While it is possible to pre-round and normalize a number before formatting, it’s tedious and prone to error if the rounding doesn’t precisely match that of the format spec. Furthermore, functions that wrap formatting would find themselves having to parse format specs to extract the precision information. For example, consider how this utility for formatting one-dimensional numerical arrays would be complicated by such pre-rounding:
def format_vector(v, format_spec='8.2f'):
"""Format a vector (any iterable) using given per-term format string."""
return f"[{','.join(f'{term:{format_spec}}' for term in v)}]"
To date, there doesn’t appear to be any other widely-used language or library
providing a formatting option for negative zero. However, the same z
option syntax and semantics specified below have been proposed for C++
std::format(). While the proposal was withdrawn for C++20, a consensus
proposal is promised for C++23. (The original feature request prompting
this PEP was argued without knowledge of the C++ proposal.)
When Rust developers debated whether to suppress negative zero in print
output, they took a small survey of other languages. Notably, it didn’t
mention any language providing an option for negative zero handling.
Specification
An optional, literal z
is added to the
Format Specification Mini-Language following sign
:
[[fill]align][sign][z][#][0][width][grouping_option][.precision][type]
where z
is allowed for floating-point presentation types (f
, g
,
etc., as defined by the format specification documentation). Support for
z
is provided by the .__format__()
method of each numeric type,
allowing the specifier to be used in f-strings, built-in format()
, and
str.format()
.
When z
is present, negative zero (whether the original value or the
result of rounding) will be normalized to positive zero.
Synopsis:
>>> x = -.00001
>>> f'{x:z.1f}'
'0.0'
>>> x = decimal.Decimal('-.00001')
>>> '{:+z.1f}'.format(x)
'+0.0'
Design Notes
The solution must be opt-in, because we can’t change the behavior of programs that may be expecting or relying on negative zero when formatting numbers.
The proposed extension is intentionally [sign][z]
rather than
[sign[z]]
. The default for sign
(-
) is not widely known or
explicitly written, so this avoids everyone having to learn it just to use
the z
option.
While f-strings, built-in format()
, and str.format()
can access
the new option, %-formatting cannot. There is already precedent for not
extending %-formatting with new options, as was the case for the
,
option (PEP 378).
C99 printf
already uses the z
option character for another
purpose: qualifying the unsigned type (u
) to match the length of
size_t
. However, since the signed zero option specifically disallows
z
for integer presentation types, it’s possible to disambiguate the two
uses, should C want to adopt this new option.
Backwards Compatibility
The new formatting behavior is opt-in, so numerical formatting of existing programs will not be affected.
How to Teach This
A typical introductory Python course will not cover string formatting
in full detail. For such a course, no adjustments would need to be made.
For a course that does go into details of the string format specification,
a single example demonstrating the effect of the z
option on a negative
value that’s rounded to zero by the formatting should be enough. For an
independent developer encountering the feature in someone else’s code,
reference to the Format Specification Mini-Language section of the
library reference manual should suffice.
Reference Implementation
A reference implementation exists at pull request #30049.
Copyright
This document is placed in the public domain or under the CC0-1.0-Universal license, whichever is more permissive.
Source: https://github.com/python/peps/blob/main/pep-0682.rst
Last modified: 2022-04-11 14:53:14 GMT