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add hyphen in floating-point
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RalfJung committed Aug 30, 2024
1 parent 93a72da commit 081353c
Showing 1 changed file with 12 additions and 12 deletions.
24 changes: 12 additions & 12 deletions core/src/primitive_docs.rs
Original file line number Diff line number Diff line change
Expand Up @@ -1127,7 +1127,7 @@ impl<T> (T,) {}

#[rustc_doc_primitive = "f16"]
#[doc(alias = "half")]
/// A 16-bit floating point type (specifically, the "binary16" type defined in IEEE 754-2008).
/// A 16-bit floating-point type (specifically, the "binary16" type defined in IEEE 754-2008).
///
/// This type is very similar to [`prim@f32`] but has decreased precision because it uses half as many
/// bits. Please see [the documentation for `f32`](prim@f32) or [Wikipedia on half-precision
Expand All @@ -1147,11 +1147,11 @@ mod prim_f16 {}

#[rustc_doc_primitive = "f32"]
#[doc(alias = "single")]
/// A 32-bit floating point type (specifically, the "binary32" type defined in IEEE 754-2008).
/// A 32-bit floating-point type (specifically, the "binary32" type defined in IEEE 754-2008).
///
/// 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
/// (such as `i32`), floating point types can represent non-integer numbers,
/// (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
Expand All @@ -1165,8 +1165,8 @@ mod prim_f16 {}
///
/// Additionally, `f32` can represent some special values:
///
/// - −0.0: IEEE 754 floating point numbers have a bit that indicates their sign, so −0.0 is a
/// possible value. For comparison −0.0 = +0.0, but floating point operations can carry
/// - −0.0: IEEE 754 floating-point numbers have a bit that indicates their sign, so −0.0 is a
/// possible value. For comparison −0.0 = +0.0, but floating-point operations can carry
/// the sign bit through arithmetic operations. This means −0.0 × +0.0 produces −0.0 and
/// a negative number rounded to a value smaller than a float can represent also produces −0.0.
/// - [∞](#associatedconstant.INFINITY) and
Expand Down Expand Up @@ -1211,17 +1211,17 @@ mod prim_f16 {}
/// both arguments were negative, then it is -0.0. Subtraction `a - b` is
/// regarded as a sum `a + (-b)`.
///
/// For more information on floating point numbers, see [Wikipedia][wikipedia].
/// For more information on floating-point numbers, see [Wikipedia][wikipedia].
///
/// *[See also the `std::f32::consts` module](crate::f32::consts).*
///
/// [wikipedia]: https://en.wikipedia.org/wiki/Single-precision_floating-point_format
///
/// # NaN bit patterns
///
/// This section defines the possible NaN bit patterns returned by floating point operations.
/// This section defines the possible NaN bit patterns returned by floating-point operations.
///
/// The bit pattern of a floating point NaN value is defined by:
/// The bit pattern of a floating-point NaN value is defined by:
/// - a sign bit.
/// - a quiet/signaling bit. Rust assumes that the quiet/signaling bit being set to `1` indicates a
/// quiet NaN (QNaN), and a value of `0` indicates a signaling NaN (SNaN). In the following we
Expand Down Expand Up @@ -1262,7 +1262,7 @@ mod prim_f16 {}
/// does not have any "extra" NaN payloads, then the output NaN is guaranteed to be preferred.
///
/// The non-deterministic choice happens when the operation is executed; i.e., the result of a
/// NaN-producing floating point operation is a stable bit pattern (looking at these bits multiple
/// NaN-producing floating-point operation is a stable bit pattern (looking at these bits multiple
/// times will yield consistent results), but running the same operation twice with the same inputs
/// can produce different results.
///
Expand All @@ -1276,7 +1276,7 @@ mod prim_f16 {}
/// (e.g. `min`, `minimum`, `max`, `maximum`); other aspects of their semantics and which IEEE 754
/// operation they correspond to are documented with the respective functions.
///
/// When an arithmetic floating point operation is executed in `const` context, the same rules
/// When an arithmetic floating-point operation is executed in `const` context, the same rules
/// apply: no guarantee is made about which of the NaN bit patterns described above will be
/// returned. The result does not have to match what happens when executing the same code at
/// runtime, and the result can vary depending on factors such as compiler version and flags.
Expand All @@ -1297,7 +1297,7 @@ mod prim_f32 {}

#[rustc_doc_primitive = "f64"]
#[doc(alias = "double")]
/// A 64-bit floating point type (specifically, the "binary64" type defined in IEEE 754-2008).
/// A 64-bit floating-point type (specifically, the "binary64" type defined in IEEE 754-2008).
///
/// This type is very similar to [`prim@f32`], but has increased precision by using twice as many
/// bits. Please see [the documentation for `f32`](prim@f32) or [Wikipedia on double-precision
Expand All @@ -1311,7 +1311,7 @@ mod prim_f64 {}

#[rustc_doc_primitive = "f128"]
#[doc(alias = "quad")]
/// A 128-bit floating point type (specifically, the "binary128" type defined in IEEE 754-2008).
/// A 128-bit floating-point type (specifically, the "binary128" type defined in IEEE 754-2008).
///
/// This type is very similar to [`prim@f32`] and [`prim@f64`], but has increased precision by using twice
/// as many bits as `f64`. Please see [the documentation for `f32`](prim@f32) or [Wikipedia on
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