#[repr(transparent)]pub struct Float64(pub f64);Expand description
Datatype: A double-precision 64-bit IEEE 754 floating point number.
Tuple Fields§
§0: f64Methods from Deref<Target = f64>§
pub const RADIX: u32 = 2
pub const BITS: u32 = 64
pub const MANTISSA_DIGITS: u32 = 53
pub const DIGITS: u32 = 15
pub const EPSILON: f64 = 2.2204460492503131e-16_f64
pub const MIN: f64 = -1.7976931348623157e+308_f64
pub const MIN_POSITIVE: f64 = 2.2250738585072014e-308_f64
pub const MAX: f64 = 1.7976931348623157e+308_f64
pub const MIN_EXP: i32 = -1021
pub const MAX_EXP: i32 = 1024
pub const MIN_10_EXP: i32 = -307
pub const MAX_10_EXP: i32 = 308
pub const NAN: f64
pub const INFINITY: f64
pub const NEG_INFINITY: f64
pub const MAX_EXACT_INTEGER: i64
pub const MIN_EXACT_INTEGER: i64
1.62.0 · Sourcepub fn total_cmp(&self, other: &f64) -> Ordering
pub fn total_cmp(&self, other: &f64) -> Ordering
Returns the ordering between self and other.
Unlike the standard partial comparison between floating point numbers,
this comparison always produces an ordering in accordance to
the totalOrder predicate as defined in the IEEE 754 (2008 revision)
floating point standard. The values are ordered in the following sequence:
- negative quiet NaN
- negative signaling NaN
- negative infinity
- negative numbers
- negative subnormal numbers
- negative zero
- positive zero
- positive subnormal numbers
- positive numbers
- positive infinity
- positive signaling NaN
- positive quiet NaN.
The ordering established by this function does not always agree with the
PartialOrd and PartialEq implementations of f64. For example,
they consider negative and positive zero equal, while total_cmp
doesn’t.
The interpretation of the signaling NaN bit follows the definition in the IEEE 754 standard, which may not match the interpretation by some of the older, non-conformant (e.g. MIPS) hardware implementations.
§Example
struct GoodBoy {
name: String,
weight: f64,
}
let mut bois = vec![
GoodBoy { name: "Pucci".to_owned(), weight: 0.1 },
GoodBoy { name: "Woofer".to_owned(), weight: 99.0 },
GoodBoy { name: "Yapper".to_owned(), weight: 10.0 },
GoodBoy { name: "Chonk".to_owned(), weight: f64::INFINITY },
GoodBoy { name: "Abs. Unit".to_owned(), weight: f64::NAN },
GoodBoy { name: "Floaty".to_owned(), weight: -5.0 },
];
bois.sort_by(|a, b| a.weight.total_cmp(&b.weight));
// `f64::NAN` could be positive or negative, which will affect the sort order.
if f64::NAN.is_sign_negative() {
assert!(bois.into_iter().map(|b| b.weight)
.zip([f64::NAN, -5.0, 0.1, 10.0, 99.0, f64::INFINITY].iter())
.all(|(a, b)| a.to_bits() == b.to_bits()))
} else {
assert!(bois.into_iter().map(|b| b.weight)
.zip([-5.0, 0.1, 10.0, 99.0, f64::INFINITY, f64::NAN].iter())
.all(|(a, b)| a.to_bits() == b.to_bits()))
}Trait Implementations§
Source§impl Borrow<Float64> for AngularSpeed
impl Borrow<Float64> for AngularSpeed
Source§impl Borrow<Float64> for ForceDistance
impl Borrow<Float64> for ForceDistance
Source§impl Borrow<Float64> for ForceStrength
impl Borrow<Float64> for ForceStrength
Source§impl Borrow<Float64> for LinearSpeed
impl Borrow<Float64> for LinearSpeed
Source§impl Borrow<Float64> for PlaybackSpeed
impl Borrow<Float64> for PlaybackSpeed
Source§impl Loggable for Float64
impl Loggable for Float64
Source§fn arrow_datatype() -> DataType
fn arrow_datatype() -> DataType
arrow::datatypes::DataType, excluding datatype extensions.Source§fn to_arrow_opt<'a>(
data: impl IntoIterator<Item = Option<impl Into<Cow<'a, Float64>>>>,
) -> Result<Arc<dyn Array>, SerializationError>
fn to_arrow_opt<'a>( data: impl IntoIterator<Item = Option<impl Into<Cow<'a, Float64>>>>, ) -> Result<Arc<dyn Array>, SerializationError>
Source§fn from_arrow_opt(
arrow_data: &dyn Array,
) -> Result<Vec<Option<Float64>>, DeserializationError>
fn from_arrow_opt( arrow_data: &dyn Array, ) -> Result<Vec<Option<Float64>>, DeserializationError>
Loggables.Source§fn from_arrow(
arrow_data: &dyn Array,
) -> Result<Vec<Float64>, DeserializationError>
fn from_arrow( arrow_data: &dyn Array, ) -> Result<Vec<Float64>, DeserializationError>
Loggables.fn arrow_empty() -> Arc<dyn Array>
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data: impl IntoIterator<Item = impl Into<Cow<'a, Self>>>,
) -> Result<Arc<dyn Array>, SerializationError>where
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Source§fn verify_arrow_array(data: &dyn Array) -> Result<(), DeserializationError>
fn verify_arrow_array(data: &dyn Array) -> Result<(), DeserializationError>
Source§impl PartialOrd for Float64
impl PartialOrd for Float64
Source§impl SizeBytes for Float64
impl SizeBytes for Float64
Source§fn heap_size_bytes(&self) -> u64
fn heap_size_bytes(&self) -> u64
self uses on the heap. Read moreSource§fn total_size_bytes(&self) -> u64
fn total_size_bytes(&self) -> u64
self in bytes, accounting for both stack and heap space.Source§fn stack_size_bytes(&self) -> u64
fn stack_size_bytes(&self) -> u64
self on the stack, in bytes. Read moreimpl Copy for Float64
impl Pod for Float64
impl StructuralPartialEq for Float64
Auto Trait Implementations§
impl Freeze for Float64
impl RefUnwindSafe for Float64
impl Send for Float64
impl Sync for Float64
impl Unpin for Float64
impl UnsafeUnpin for Float64
impl UnwindSafe for Float64
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