Skip to content

Fix minor things in the f32 primitive docs #75400

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Aug 13, 2020
Merged

Fix minor things in the f32 primitive docs #75400

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 3 additions & 5 deletions library/std/src/primitive_docs.rs
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -768,7 +768,8 @@ mod prim_tuple {}
///
/// This type can represent a wide range of decimal numbers, like `3.5`, `27`,
/// `-113.75`, `0.0078125`, `34359738368`, `0`, `-1`. So unlike integer types
/// (like `i32`), floating point types can represent non-integer numbers, too.
/// (such as `i32`), floating point types can represent non-integer numbers,
/// too.
///
/// However, being able to represent this wide range of numbers comes at the
/// cost of precision: floats can only represent some of the real numbers and
Expand All @@ -779,15 +780,12 @@ mod prim_tuple {}
/// often discard insignificant digits: `println!("{}", 1.0f32 / 5.0f32)` will
/// print `0.2`.
///
/// The precision is better for numbers near 0 and worse for large numbers. For
/// example, above 2<sup>24</sup>, not even all integers are representable.
///
/// Additionally, `f32` can represent a couple of special values:
///
/// - `-0`: this is just due to how floats are encoded. It is semantically
/// equivalent to `0` and `-0.0 == 0.0` results in `true`.
/// - [∞](#associatedconstant.INFINITY) and
/// [-∞](#associatedconstant.NEG_INFINITY): these result from calculations
/// [−∞](#associatedconstant.NEG_INFINITY): these result from calculations
/// like `1.0 / 0.0`.
/// - [NaN (not a number)](#associatedconstant.NAN): this value results from
/// calculations like `(-1.0).sqrt()`. NaN has some potentially unexpected
Expand Down