size
container.hash_map.size
number of entries in this map
Applicable universe features
These are features in universe, that have an argument with a type constraint that matches this features type and can therefore be used with it.
equals -- feature that compares two values using the equality relation
defined in their type
defined in their type
hash of a value
infix = -- infix operation as short-hand for 'equals'
does this come strictly before other?
infix <= -- infix operation as short-hand for 'lteq'
three-way comparison between this and other.
result is < 0 if this < other
result is > 0 if this > other
result is = 0 if this = other
result is < 0 if this < other
result is > 0 if this > other
result is = 0 if this = other
infix = -- infix operation as short-hand for 'equals'
does this come strictly after other?
does this come after other?
is `a` contained in `Set` `s`?
This should usually be called using type inference as in
This should usually be called using type inference as in
is `a` not contained in `Set` `s`?
This should usually be called using type inference as in
This should usually be called using type inference as in
infix ≟ -- infix operation as short-hand for 'equals'
infix ≤ -- infix operation as short-hand for 'lteq'
does this come after other?
three-way comparison between this and other.
result is < 0 if this < other
result is > 0 if this > other
result is = 0 if this = other
result is < 0 if this < other
result is > 0 if this > other
result is = 0 if this = other
does this come strictly before other?
does this come strictly after other?
lteq -- feature that compares two values using the lteq relation
defined in their type
defined in their type
maximum of two values
memoize `f`.
wraps f so that f will only be called once for every unique input.
The term "memoization" was coined by Donald Michie in 1968 and
is derived from the Latin word "memorandum" ("to be remembered"),
usually truncated as "memo" in American English, and thus carries
the meaning of "turning a function into something to be remembered".
https://en.wikipedia.org/wiki/Memoization
example:
wraps f so that f will only be called once for every unique input.
The term "memoization" was coined by Donald Michie in 1968 and
is derived from the Latin word "memorandum" ("to be remembered"),
usually truncated as "memo" in American English, and thus carries
the meaning of "turning a function into something to be remembered".
https://en.wikipedia.org/wiki/Memoization
example:
minimum of two values
0.095dev (2025-09-09 14:29:31 GIT hash 98644f8f651c2101a0730cfe31c5807993b7603b built by fridi@fzen)