☰
Mutable_Linked_List
container.Mutable_Linked_List
Type Parameters
type of data stored in this listFields
the data stored in this element.Functions
append an element to the linked list
collect the contents of this Sequence into an array
create an array backed version of this sequence in case this is not array
backed. This will ensure that operations like index[] or drop perform
in constant time.
returns Sequence.this if is_array_backed.
return this linked list as a list
convenience feature to work around type inference issues
NYI remove when type inference gets better
create a string representation of this Sequence including all the string
representations of its contents, separated by 'sep'.
NOTE: In case this Sequence is not finite, this will attempt to create an
infinitely long string resulting in failure due to resource exchaustion.
a representation of this linked list as a string.
create a string representation of this Sequence including all the string
representations of its contents, separated by ", " and enclosed in '['
and ']'.
NOTE: In case this Sequence is not finite, this will attempt to create an
infinitely long string resulting in failure due to resource exchaustion.
call 'as_string' on the elements
the arithmetic mean of the sequence
https://en.wikipedia.org/wiki/Arithmetic_mean
create a new list that contains the first elements of
this Sequence for which 'f e' is false
chop this Sequence into chunks of `chunk_size`.
the last chunk may be smaller than `chunk_size`.
§create a new Sequence from the result of applying 'f' to the
elements all combinations of elements of this Sequence and
all elements of 'b' iterating of 'b' repeatedly as follows
Sequence.this[0] , b[0]
Sequence.this[0] , b[1]
Sequence.this[0] , b[2]
Sequence.this[0] , ...
Sequence.this[0] , b.last
Sequence.this[1] , b[0]
Sequence.this[1] , b[1]
Sequence.this[1] , ...
... , ...
Sequence.this.last, b.last
§append an entire list to this linked list
create a Sequence that consists of all the elements of this Sequence followed
by all the elements of s
does the Sequence contain element x?
count the number of elements in this Sequence. Note that this typically
runs forever if executed on an endless list
For lists that are not array backed, this might require time in O(count).
get the number of non-overlapping matches of l within this
get the number of matches of l
create a list that repeats the current Sequence indefinitely. In case 'Sequence.this'
is empty, returns 'nil'
create a list that consists of the elements of this Sequence except the first
n elements
NOTE: this may have performance in O(n) unless it is backed by an immutable array.
Lazily drop the first elements of this Sequence for which predicate 'p' holds.
Get the dynamic type of this instance. For value instances `x`, this is
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
Type Parameters
type of data stored in this listFields
the data stored in this element.Functions
append an element to the linked list
collect the contents of this Sequence into an array
create an array backed version of this sequence in case this is not array
backed. This will ensure that operations like index[] or drop perform
in constant time.
returns Sequence.this if is_array_backed.
return this linked list as a list
convenience feature to work around type inference issues
NYI remove when type inference gets better
create a string representation of this Sequence including all the string
representations of its contents, separated by 'sep'.
NOTE: In case this Sequence is not finite, this will attempt to create an
infinitely long string resulting in failure due to resource exchaustion.
a representation of this linked list as a string.
create a string representation of this Sequence including all the string
representations of its contents, separated by ", " and enclosed in '['
and ']'.
NOTE: In case this Sequence is not finite, this will attempt to create an
infinitely long string resulting in failure due to resource exchaustion.
call 'as_string' on the elements
the arithmetic mean of the sequence
https://en.wikipedia.org/wiki/Arithmetic_mean
create a new list that contains the first elements of
this Sequence for which 'f e' is false
chop this Sequence into chunks of `chunk_size`.
the last chunk may be smaller than `chunk_size`.
§create a new Sequence from the result of applying 'f' to the
elements all combinations of elements of this Sequence and
all elements of 'b' iterating of 'b' repeatedly as follows
Sequence.this[0] , b[0]
Sequence.this[0] , b[1]
Sequence.this[0] , b[2]
Sequence.this[0] , ...
Sequence.this[0] , b.last
Sequence.this[1] , b[0]
Sequence.this[1] , b[1]
Sequence.this[1] , ...
... , ...
Sequence.this.last, b.last
§append an entire list to this linked list
create a Sequence that consists of all the elements of this Sequence followed
by all the elements of s
does the Sequence contain element x?
count the number of elements in this Sequence. Note that this typically
runs forever if executed on an endless list
For lists that are not array backed, this might require time in O(count).
get the number of non-overlapping matches of l within this
get the number of matches of l
create a list that repeats the current Sequence indefinitely. In case 'Sequence.this'
is empty, returns 'nil'
create a list that consists of the elements of this Sequence except the first
n elements
NOTE: this may have performance in O(n) unless it is backed by an immutable array.
Lazily drop the first elements of this Sequence for which predicate 'p' holds.
Get the dynamic type of this instance. For value instances `x`, this is
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
type of data stored in this listFields
the data stored in this element.Functions
append an element to the linked list
collect the contents of this Sequence into an array
create an array backed version of this sequence in case this is not array
backed. This will ensure that operations like index[] or drop perform
in constant time.
returns Sequence.this if is_array_backed.
return this linked list as a list
convenience feature to work around type inference issues
NYI remove when type inference gets better
create a string representation of this Sequence including all the string
representations of its contents, separated by 'sep'.
NOTE: In case this Sequence is not finite, this will attempt to create an
infinitely long string resulting in failure due to resource exchaustion.
a representation of this linked list as a string.
create a string representation of this Sequence including all the string
representations of its contents, separated by ", " and enclosed in '['
and ']'.
NOTE: In case this Sequence is not finite, this will attempt to create an
infinitely long string resulting in failure due to resource exchaustion.
call 'as_string' on the elements
the arithmetic mean of the sequence
https://en.wikipedia.org/wiki/Arithmetic_mean
create a new list that contains the first elements of
this Sequence for which 'f e' is false
chop this Sequence into chunks of `chunk_size`.
the last chunk may be smaller than `chunk_size`.
§create a new Sequence from the result of applying 'f' to the
elements all combinations of elements of this Sequence and
all elements of 'b' iterating of 'b' repeatedly as follows
Sequence.this[0] , b[0]
Sequence.this[0] , b[1]
Sequence.this[0] , b[2]
Sequence.this[0] , ...
Sequence.this[0] , b.last
Sequence.this[1] , b[0]
Sequence.this[1] , b[1]
Sequence.this[1] , ...
... , ...
Sequence.this.last, b.last
§append an entire list to this linked list
create a Sequence that consists of all the elements of this Sequence followed
by all the elements of s
does the Sequence contain element x?
count the number of elements in this Sequence. Note that this typically
runs forever if executed on an endless list
For lists that are not array backed, this might require time in O(count).
get the number of non-overlapping matches of l within this
get the number of matches of l
create a list that repeats the current Sequence indefinitely. In case 'Sequence.this'
is empty, returns 'nil'
create a list that consists of the elements of this Sequence except the first
n elements
NOTE: this may have performance in O(n) unless it is backed by an immutable array.
Lazily drop the first elements of this Sequence for which predicate 'p' holds.
Get the dynamic type of this instance. For value instances `x`, this is
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
type of data stored in this list
Fields
the data stored in this element.Functions
append an element to the linked list
collect the contents of this Sequence into an array
create an array backed version of this sequence in case this is not array
backed. This will ensure that operations like index[] or drop perform
in constant time.
returns Sequence.this if is_array_backed.
return this linked list as a list
convenience feature to work around type inference issues
NYI remove when type inference gets better
create a string representation of this Sequence including all the string
representations of its contents, separated by 'sep'.
NOTE: In case this Sequence is not finite, this will attempt to create an
infinitely long string resulting in failure due to resource exchaustion.
a representation of this linked list as a string.
create a string representation of this Sequence including all the string
representations of its contents, separated by ", " and enclosed in '['
and ']'.
NOTE: In case this Sequence is not finite, this will attempt to create an
infinitely long string resulting in failure due to resource exchaustion.
call 'as_string' on the elements
the arithmetic mean of the sequence
https://en.wikipedia.org/wiki/Arithmetic_mean
create a new list that contains the first elements of
this Sequence for which 'f e' is false
chop this Sequence into chunks of `chunk_size`.
the last chunk may be smaller than `chunk_size`.
§create a new Sequence from the result of applying 'f' to the
elements all combinations of elements of this Sequence and
all elements of 'b' iterating of 'b' repeatedly as follows
Sequence.this[0] , b[0]
Sequence.this[0] , b[1]
Sequence.this[0] , b[2]
Sequence.this[0] , ...
Sequence.this[0] , b.last
Sequence.this[1] , b[0]
Sequence.this[1] , b[1]
Sequence.this[1] , ...
... , ...
Sequence.this.last, b.last
§append an entire list to this linked list
create a Sequence that consists of all the elements of this Sequence followed
by all the elements of s
does the Sequence contain element x?
count the number of elements in this Sequence. Note that this typically
runs forever if executed on an endless list
For lists that are not array backed, this might require time in O(count).
get the number of non-overlapping matches of l within this
get the number of matches of l
create a list that repeats the current Sequence indefinitely. In case 'Sequence.this'
is empty, returns 'nil'
create a list that consists of the elements of this Sequence except the first
n elements
NOTE: this may have performance in O(n) unless it is backed by an immutable array.
Lazily drop the first elements of this Sequence for which predicate 'p' holds.
Get the dynamic type of this instance. For value instances `x`, this is
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
the data stored in this element.
Functions
append an element to the linked list
collect the contents of this Sequence into an array
create an array backed version of this sequence in case this is not array
backed. This will ensure that operations like index[] or drop perform
in constant time.
returns Sequence.this if is_array_backed.
return this linked list as a list
convenience feature to work around type inference issues
NYI remove when type inference gets better
create a string representation of this Sequence including all the string
representations of its contents, separated by 'sep'.
NOTE: In case this Sequence is not finite, this will attempt to create an
infinitely long string resulting in failure due to resource exchaustion.
a representation of this linked list as a string.
create a string representation of this Sequence including all the string
representations of its contents, separated by ", " and enclosed in '['
and ']'.
NOTE: In case this Sequence is not finite, this will attempt to create an
infinitely long string resulting in failure due to resource exchaustion.
call 'as_string' on the elements
the arithmetic mean of the sequence
https://en.wikipedia.org/wiki/Arithmetic_mean
create a new list that contains the first elements of
this Sequence for which 'f e' is false
chop this Sequence into chunks of `chunk_size`.
the last chunk may be smaller than `chunk_size`.
§create a new Sequence from the result of applying 'f' to the
elements all combinations of elements of this Sequence and
all elements of 'b' iterating of 'b' repeatedly as follows
Sequence.this[0] , b[0]
Sequence.this[0] , b[1]
Sequence.this[0] , b[2]
Sequence.this[0] , ...
Sequence.this[0] , b.last
Sequence.this[1] , b[0]
Sequence.this[1] , b[1]
Sequence.this[1] , ...
... , ...
Sequence.this.last, b.last
§append an entire list to this linked list
create a Sequence that consists of all the elements of this Sequence followed
by all the elements of s
does the Sequence contain element x?
count the number of elements in this Sequence. Note that this typically
runs forever if executed on an endless list
For lists that are not array backed, this might require time in O(count).
get the number of non-overlapping matches of l within this
get the number of matches of l
create a list that repeats the current Sequence indefinitely. In case 'Sequence.this'
is empty, returns 'nil'
create a list that consists of the elements of this Sequence except the first
n elements
NOTE: this may have performance in O(n) unless it is backed by an immutable array.
Lazily drop the first elements of this Sequence for which predicate 'p' holds.
Get the dynamic type of this instance. For value instances `x`, this is
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
append an element to the linked list
collect the contents of this Sequence into an array
create an array backed version of this sequence in case this is not array
backed. This will ensure that operations like index[] or drop perform
in constant time.
returns Sequence.this if is_array_backed.
return this linked list as a list
convenience feature to work around type inference issues
NYI remove when type inference gets better
create a string representation of this Sequence including all the string
representations of its contents, separated by 'sep'.
NOTE: In case this Sequence is not finite, this will attempt to create an
infinitely long string resulting in failure due to resource exchaustion.
a representation of this linked list as a string.
create a string representation of this Sequence including all the string
representations of its contents, separated by ", " and enclosed in '['
and ']'.
NOTE: In case this Sequence is not finite, this will attempt to create an
infinitely long string resulting in failure due to resource exchaustion.
call 'as_string' on the elements
the arithmetic mean of the sequence
https://en.wikipedia.org/wiki/Arithmetic_mean
create a new list that contains the first elements of
this Sequence for which 'f e' is false
chop this Sequence into chunks of `chunk_size`.
the last chunk may be smaller than `chunk_size`.
§create a new Sequence from the result of applying 'f' to the
elements all combinations of elements of this Sequence and
all elements of 'b' iterating of 'b' repeatedly as follows
Sequence.this[0] , b[0]
Sequence.this[0] , b[1]
Sequence.this[0] , b[2]
Sequence.this[0] , ...
Sequence.this[0] , b.last
Sequence.this[1] , b[0]
Sequence.this[1] , b[1]
Sequence.this[1] , ...
... , ...
Sequence.this.last, b.last
§append an entire list to this linked list
create a Sequence that consists of all the elements of this Sequence followed
by all the elements of s
does the Sequence contain element x?
count the number of elements in this Sequence. Note that this typically
runs forever if executed on an endless list
For lists that are not array backed, this might require time in O(count).
get the number of non-overlapping matches of l within this
get the number of matches of l
create a list that repeats the current Sequence indefinitely. In case 'Sequence.this'
is empty, returns 'nil'
create a list that consists of the elements of this Sequence except the first
n elements
NOTE: this may have performance in O(n) unless it is backed by an immutable array.
Lazily drop the first elements of this Sequence for which predicate 'p' holds.
Get the dynamic type of this instance. For value instances `x`, this is
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
collect the contents of this Sequence into an array
create an array backed version of this sequence in case this is not array
backed. This will ensure that operations like index[] or drop perform
in constant time.
returns Sequence.this if is_array_backed.
return this linked list as a list
convenience feature to work around type inference issues
NYI remove when type inference gets better
create a string representation of this Sequence including all the string
representations of its contents, separated by 'sep'.
NOTE: In case this Sequence is not finite, this will attempt to create an
infinitely long string resulting in failure due to resource exchaustion.
a representation of this linked list as a string.
create a string representation of this Sequence including all the string
representations of its contents, separated by ", " and enclosed in '['
and ']'.
NOTE: In case this Sequence is not finite, this will attempt to create an
infinitely long string resulting in failure due to resource exchaustion.
call 'as_string' on the elements
the arithmetic mean of the sequence
https://en.wikipedia.org/wiki/Arithmetic_mean
create a new list that contains the first elements of
this Sequence for which 'f e' is false
chop this Sequence into chunks of `chunk_size`.
the last chunk may be smaller than `chunk_size`.
§create a new Sequence from the result of applying 'f' to the
elements all combinations of elements of this Sequence and
all elements of 'b' iterating of 'b' repeatedly as follows
Sequence.this[0] , b[0]
Sequence.this[0] , b[1]
Sequence.this[0] , b[2]
Sequence.this[0] , ...
Sequence.this[0] , b.last
Sequence.this[1] , b[0]
Sequence.this[1] , b[1]
Sequence.this[1] , ...
... , ...
Sequence.this.last, b.last
§append an entire list to this linked list
create a Sequence that consists of all the elements of this Sequence followed
by all the elements of s
does the Sequence contain element x?
count the number of elements in this Sequence. Note that this typically
runs forever if executed on an endless list
For lists that are not array backed, this might require time in O(count).
get the number of non-overlapping matches of l within this
get the number of matches of l
create a list that repeats the current Sequence indefinitely. In case 'Sequence.this'
is empty, returns 'nil'
create a list that consists of the elements of this Sequence except the first
n elements
NOTE: this may have performance in O(n) unless it is backed by an immutable array.
Lazily drop the first elements of this Sequence for which predicate 'p' holds.
Get the dynamic type of this instance. For value instances `x`, this is
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
create an array backed version of this sequence in case this is not array
backed. This will ensure that operations like index[] or drop perform
in constant time.
returns Sequence.this if is_array_backed.
backed. This will ensure that operations like index[] or drop perform
in constant time.
returns Sequence.this if is_array_backed.
return this linked list as a list
convenience feature to work around type inference issues
NYI remove when type inference gets better
create a string representation of this Sequence including all the string
representations of its contents, separated by 'sep'.
NOTE: In case this Sequence is not finite, this will attempt to create an
infinitely long string resulting in failure due to resource exchaustion.
a representation of this linked list as a string.
create a string representation of this Sequence including all the string
representations of its contents, separated by ", " and enclosed in '['
and ']'.
NOTE: In case this Sequence is not finite, this will attempt to create an
infinitely long string resulting in failure due to resource exchaustion.
call 'as_string' on the elements
the arithmetic mean of the sequence
https://en.wikipedia.org/wiki/Arithmetic_mean
create a new list that contains the first elements of
this Sequence for which 'f e' is false
chop this Sequence into chunks of `chunk_size`.
the last chunk may be smaller than `chunk_size`.
§create a new Sequence from the result of applying 'f' to the
elements all combinations of elements of this Sequence and
all elements of 'b' iterating of 'b' repeatedly as follows
Sequence.this[0] , b[0]
Sequence.this[0] , b[1]
Sequence.this[0] , b[2]
Sequence.this[0] , ...
Sequence.this[0] , b.last
Sequence.this[1] , b[0]
Sequence.this[1] , b[1]
Sequence.this[1] , ...
... , ...
Sequence.this.last, b.last
§append an entire list to this linked list
create a Sequence that consists of all the elements of this Sequence followed
by all the elements of s
does the Sequence contain element x?
count the number of elements in this Sequence. Note that this typically
runs forever if executed on an endless list
For lists that are not array backed, this might require time in O(count).
get the number of non-overlapping matches of l within this
get the number of matches of l
create a list that repeats the current Sequence indefinitely. In case 'Sequence.this'
is empty, returns 'nil'
create a list that consists of the elements of this Sequence except the first
n elements
NOTE: this may have performance in O(n) unless it is backed by an immutable array.
Lazily drop the first elements of this Sequence for which predicate 'p' holds.
Get the dynamic type of this instance. For value instances `x`, this is
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
return this linked list as a list
convenience feature to work around type inference issues
NYI remove when type inference gets better
create a string representation of this Sequence including all the string
representations of its contents, separated by 'sep'.
NOTE: In case this Sequence is not finite, this will attempt to create an
infinitely long string resulting in failure due to resource exchaustion.
a representation of this linked list as a string.
create a string representation of this Sequence including all the string
representations of its contents, separated by ", " and enclosed in '['
and ']'.
NOTE: In case this Sequence is not finite, this will attempt to create an
infinitely long string resulting in failure due to resource exchaustion.
call 'as_string' on the elements
the arithmetic mean of the sequence
https://en.wikipedia.org/wiki/Arithmetic_mean
create a new list that contains the first elements of
this Sequence for which 'f e' is false
chop this Sequence into chunks of `chunk_size`.
the last chunk may be smaller than `chunk_size`.
§create a new Sequence from the result of applying 'f' to the
elements all combinations of elements of this Sequence and
all elements of 'b' iterating of 'b' repeatedly as follows
Sequence.this[0] , b[0]
Sequence.this[0] , b[1]
Sequence.this[0] , b[2]
Sequence.this[0] , ...
Sequence.this[0] , b.last
Sequence.this[1] , b[0]
Sequence.this[1] , b[1]
Sequence.this[1] , ...
... , ...
Sequence.this.last, b.last
§append an entire list to this linked list
create a Sequence that consists of all the elements of this Sequence followed
by all the elements of s
does the Sequence contain element x?
count the number of elements in this Sequence. Note that this typically
runs forever if executed on an endless list
For lists that are not array backed, this might require time in O(count).
get the number of non-overlapping matches of l within this
get the number of matches of l
create a list that repeats the current Sequence indefinitely. In case 'Sequence.this'
is empty, returns 'nil'
create a list that consists of the elements of this Sequence except the first
n elements
NOTE: this may have performance in O(n) unless it is backed by an immutable array.
Lazily drop the first elements of this Sequence for which predicate 'p' holds.
Get the dynamic type of this instance. For value instances `x`, this is
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
convenience feature to work around type inference issues
NYI remove when type inference gets better
NYI remove when type inference gets better
create a string representation of this Sequence including all the string
representations of its contents, separated by 'sep'.
NOTE: In case this Sequence is not finite, this will attempt to create an
infinitely long string resulting in failure due to resource exchaustion.
a representation of this linked list as a string.
create a string representation of this Sequence including all the string
representations of its contents, separated by ", " and enclosed in '['
and ']'.
NOTE: In case this Sequence is not finite, this will attempt to create an
infinitely long string resulting in failure due to resource exchaustion.
call 'as_string' on the elements
the arithmetic mean of the sequence
https://en.wikipedia.org/wiki/Arithmetic_mean
create a new list that contains the first elements of
this Sequence for which 'f e' is false
chop this Sequence into chunks of `chunk_size`.
the last chunk may be smaller than `chunk_size`.
§create a new Sequence from the result of applying 'f' to the
elements all combinations of elements of this Sequence and
all elements of 'b' iterating of 'b' repeatedly as follows
Sequence.this[0] , b[0]
Sequence.this[0] , b[1]
Sequence.this[0] , b[2]
Sequence.this[0] , ...
Sequence.this[0] , b.last
Sequence.this[1] , b[0]
Sequence.this[1] , b[1]
Sequence.this[1] , ...
... , ...
Sequence.this.last, b.last
§append an entire list to this linked list
create a Sequence that consists of all the elements of this Sequence followed
by all the elements of s
does the Sequence contain element x?
count the number of elements in this Sequence. Note that this typically
runs forever if executed on an endless list
For lists that are not array backed, this might require time in O(count).
get the number of non-overlapping matches of l within this
get the number of matches of l
create a list that repeats the current Sequence indefinitely. In case 'Sequence.this'
is empty, returns 'nil'
create a list that consists of the elements of this Sequence except the first
n elements
NOTE: this may have performance in O(n) unless it is backed by an immutable array.
Lazily drop the first elements of this Sequence for which predicate 'p' holds.
Get the dynamic type of this instance. For value instances `x`, this is
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
create a string representation of this Sequence including all the string
representations of its contents, separated by 'sep'.
NOTE: In case this Sequence is not finite, this will attempt to create an
infinitely long string resulting in failure due to resource exchaustion.
representations of its contents, separated by 'sep'.
NOTE: In case this Sequence is not finite, this will attempt to create an
infinitely long string resulting in failure due to resource exchaustion.
a representation of this linked list as a string.
create a string representation of this Sequence including all the string
representations of its contents, separated by ", " and enclosed in '['
and ']'.
NOTE: In case this Sequence is not finite, this will attempt to create an
infinitely long string resulting in failure due to resource exchaustion.
call 'as_string' on the elements
the arithmetic mean of the sequence
https://en.wikipedia.org/wiki/Arithmetic_mean
create a new list that contains the first elements of
this Sequence for which 'f e' is false
chop this Sequence into chunks of `chunk_size`.
the last chunk may be smaller than `chunk_size`.
§create a new Sequence from the result of applying 'f' to the
elements all combinations of elements of this Sequence and
all elements of 'b' iterating of 'b' repeatedly as follows
Sequence.this[0] , b[0]
Sequence.this[0] , b[1]
Sequence.this[0] , b[2]
Sequence.this[0] , ...
Sequence.this[0] , b.last
Sequence.this[1] , b[0]
Sequence.this[1] , b[1]
Sequence.this[1] , ...
... , ...
Sequence.this.last, b.last
§append an entire list to this linked list
create a Sequence that consists of all the elements of this Sequence followed
by all the elements of s
does the Sequence contain element x?
count the number of elements in this Sequence. Note that this typically
runs forever if executed on an endless list
For lists that are not array backed, this might require time in O(count).
get the number of non-overlapping matches of l within this
get the number of matches of l
create a list that repeats the current Sequence indefinitely. In case 'Sequence.this'
is empty, returns 'nil'
create a list that consists of the elements of this Sequence except the first
n elements
NOTE: this may have performance in O(n) unless it is backed by an immutable array.
Lazily drop the first elements of this Sequence for which predicate 'p' holds.
Get the dynamic type of this instance. For value instances `x`, this is
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
a representation of this linked list as a string.
create a string representation of this Sequence including all the string
representations of its contents, separated by ", " and enclosed in '['
and ']'.
NOTE: In case this Sequence is not finite, this will attempt to create an
infinitely long string resulting in failure due to resource exchaustion.
call 'as_string' on the elements
the arithmetic mean of the sequence
https://en.wikipedia.org/wiki/Arithmetic_mean
create a new list that contains the first elements of
this Sequence for which 'f e' is false
chop this Sequence into chunks of `chunk_size`.
the last chunk may be smaller than `chunk_size`.
§create a new Sequence from the result of applying 'f' to the
elements all combinations of elements of this Sequence and
all elements of 'b' iterating of 'b' repeatedly as follows
Sequence.this[0] , b[0]
Sequence.this[0] , b[1]
Sequence.this[0] , b[2]
Sequence.this[0] , ...
Sequence.this[0] , b.last
Sequence.this[1] , b[0]
Sequence.this[1] , b[1]
Sequence.this[1] , ...
... , ...
Sequence.this.last, b.last
§append an entire list to this linked list
create a Sequence that consists of all the elements of this Sequence followed
by all the elements of s
does the Sequence contain element x?
count the number of elements in this Sequence. Note that this typically
runs forever if executed on an endless list
For lists that are not array backed, this might require time in O(count).
get the number of non-overlapping matches of l within this
get the number of matches of l
create a list that repeats the current Sequence indefinitely. In case 'Sequence.this'
is empty, returns 'nil'
create a list that consists of the elements of this Sequence except the first
n elements
NOTE: this may have performance in O(n) unless it is backed by an immutable array.
Lazily drop the first elements of this Sequence for which predicate 'p' holds.
Get the dynamic type of this instance. For value instances `x`, this is
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
create a string representation of this Sequence including all the string
representations of its contents, separated by ", " and enclosed in '['
and ']'.
NOTE: In case this Sequence is not finite, this will attempt to create an
infinitely long string resulting in failure due to resource exchaustion.
representations of its contents, separated by ", " and enclosed in '['
and ']'.
NOTE: In case this Sequence is not finite, this will attempt to create an
infinitely long string resulting in failure due to resource exchaustion.
call 'as_string' on the elements
the arithmetic mean of the sequence
https://en.wikipedia.org/wiki/Arithmetic_mean
create a new list that contains the first elements of
this Sequence for which 'f e' is false
chop this Sequence into chunks of `chunk_size`.
the last chunk may be smaller than `chunk_size`.
§create a new Sequence from the result of applying 'f' to the
elements all combinations of elements of this Sequence and
all elements of 'b' iterating of 'b' repeatedly as follows
Sequence.this[0] , b[0]
Sequence.this[0] , b[1]
Sequence.this[0] , b[2]
Sequence.this[0] , ...
Sequence.this[0] , b.last
Sequence.this[1] , b[0]
Sequence.this[1] , b[1]
Sequence.this[1] , ...
... , ...
Sequence.this.last, b.last
§append an entire list to this linked list
create a Sequence that consists of all the elements of this Sequence followed
by all the elements of s
does the Sequence contain element x?
count the number of elements in this Sequence. Note that this typically
runs forever if executed on an endless list
For lists that are not array backed, this might require time in O(count).
get the number of non-overlapping matches of l within this
get the number of matches of l
create a list that repeats the current Sequence indefinitely. In case 'Sequence.this'
is empty, returns 'nil'
create a list that consists of the elements of this Sequence except the first
n elements
NOTE: this may have performance in O(n) unless it is backed by an immutable array.
Lazily drop the first elements of this Sequence for which predicate 'p' holds.
Get the dynamic type of this instance. For value instances `x`, this is
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
call 'as_string' on the elements
the arithmetic mean of the sequence
https://en.wikipedia.org/wiki/Arithmetic_mean
create a new list that contains the first elements of
this Sequence for which 'f e' is false
chop this Sequence into chunks of `chunk_size`.
the last chunk may be smaller than `chunk_size`.
§create a new Sequence from the result of applying 'f' to the
elements all combinations of elements of this Sequence and
all elements of 'b' iterating of 'b' repeatedly as follows
Sequence.this[0] , b[0]
Sequence.this[0] , b[1]
Sequence.this[0] , b[2]
Sequence.this[0] , ...
Sequence.this[0] , b.last
Sequence.this[1] , b[0]
Sequence.this[1] , b[1]
Sequence.this[1] , ...
... , ...
Sequence.this.last, b.last
§append an entire list to this linked list
create a Sequence that consists of all the elements of this Sequence followed
by all the elements of s
does the Sequence contain element x?
count the number of elements in this Sequence. Note that this typically
runs forever if executed on an endless list
For lists that are not array backed, this might require time in O(count).
get the number of non-overlapping matches of l within this
get the number of matches of l
create a list that repeats the current Sequence indefinitely. In case 'Sequence.this'
is empty, returns 'nil'
create a list that consists of the elements of this Sequence except the first
n elements
NOTE: this may have performance in O(n) unless it is backed by an immutable array.
Lazily drop the first elements of this Sequence for which predicate 'p' holds.
Get the dynamic type of this instance. For value instances `x`, this is
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
the arithmetic mean of the sequence
https://en.wikipedia.org/wiki/Arithmetic_mean
https://en.wikipedia.org/wiki/Arithmetic_mean
create a new list that contains the first elements of
this Sequence for which 'f e' is false
chop this Sequence into chunks of `chunk_size`.
the last chunk may be smaller than `chunk_size`.
§create a new Sequence from the result of applying 'f' to the
elements all combinations of elements of this Sequence and
all elements of 'b' iterating of 'b' repeatedly as follows
Sequence.this[0] , b[0]
Sequence.this[0] , b[1]
Sequence.this[0] , b[2]
Sequence.this[0] , ...
Sequence.this[0] , b.last
Sequence.this[1] , b[0]
Sequence.this[1] , b[1]
Sequence.this[1] , ...
... , ...
Sequence.this.last, b.last
§append an entire list to this linked list
create a Sequence that consists of all the elements of this Sequence followed
by all the elements of s
does the Sequence contain element x?
count the number of elements in this Sequence. Note that this typically
runs forever if executed on an endless list
For lists that are not array backed, this might require time in O(count).
get the number of non-overlapping matches of l within this
get the number of matches of l
create a list that repeats the current Sequence indefinitely. In case 'Sequence.this'
is empty, returns 'nil'
create a list that consists of the elements of this Sequence except the first
n elements
NOTE: this may have performance in O(n) unless it is backed by an immutable array.
Lazily drop the first elements of this Sequence for which predicate 'p' holds.
Get the dynamic type of this instance. For value instances `x`, this is
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
create a new list that contains the first elements of
this Sequence for which 'f e' is false
this Sequence for which 'f e' is false
chop this Sequence into chunks of `chunk_size`.
the last chunk may be smaller than `chunk_size`.
§create a new Sequence from the result of applying 'f' to the
elements all combinations of elements of this Sequence and
all elements of 'b' iterating of 'b' repeatedly as follows
Sequence.this[0] , b[0]
Sequence.this[0] , b[1]
Sequence.this[0] , b[2]
Sequence.this[0] , ...
Sequence.this[0] , b.last
Sequence.this[1] , b[0]
Sequence.this[1] , b[1]
Sequence.this[1] , ...
... , ...
Sequence.this.last, b.last
§append an entire list to this linked list
create a Sequence that consists of all the elements of this Sequence followed
by all the elements of s
does the Sequence contain element x?
count the number of elements in this Sequence. Note that this typically
runs forever if executed on an endless list
For lists that are not array backed, this might require time in O(count).
get the number of non-overlapping matches of l within this
get the number of matches of l
create a list that repeats the current Sequence indefinitely. In case 'Sequence.this'
is empty, returns 'nil'
create a list that consists of the elements of this Sequence except the first
n elements
NOTE: this may have performance in O(n) unless it is backed by an immutable array.
Lazily drop the first elements of this Sequence for which predicate 'p' holds.
Get the dynamic type of this instance. For value instances `x`, this is
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
chop this Sequence into chunks of `chunk_size`.
the last chunk may be smaller than `chunk_size`.
the last chunk may be smaller than `chunk_size`.
§create a new Sequence from the result of applying 'f' to the
elements all combinations of elements of this Sequence and
all elements of 'b' iterating of 'b' repeatedly as follows
Sequence.this[0] , b[0]
Sequence.this[0] , b[1]
Sequence.this[0] , b[2]
Sequence.this[0] , ...
Sequence.this[0] , b.last
Sequence.this[1] , b[0]
Sequence.this[1] , b[1]
Sequence.this[1] , ...
... , ...
Sequence.this.last, b.last
§append an entire list to this linked list
create a Sequence that consists of all the elements of this Sequence followed
by all the elements of s
does the Sequence contain element x?
count the number of elements in this Sequence. Note that this typically
runs forever if executed on an endless list
For lists that are not array backed, this might require time in O(count).
get the number of non-overlapping matches of l within this
get the number of matches of l
create a list that repeats the current Sequence indefinitely. In case 'Sequence.this'
is empty, returns 'nil'
create a list that consists of the elements of this Sequence except the first
n elements
NOTE: this may have performance in O(n) unless it is backed by an immutable array.
Lazily drop the first elements of this Sequence for which predicate 'p' holds.
Get the dynamic type of this instance. For value instances `x`, this is
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
§
create a new Sequence from the result of applying 'f' to the
elements all combinations of elements of this Sequence and
all elements of 'b' iterating of 'b' repeatedly as follows
Sequence.this[0] , b[0]
Sequence.this[0] , b[1]
Sequence.this[0] , b[2]
Sequence.this[0] , ...
Sequence.this[0] , b.last
Sequence.this[1] , b[0]
Sequence.this[1] , b[1]
Sequence.this[1] , ...
... , ...
Sequence.this.last, b.last
elements all combinations of elements of this Sequence and
all elements of 'b' iterating of 'b' repeatedly as follows
Sequence.this[0] , b[0]
Sequence.this[0] , b[1]
Sequence.this[0] , b[2]
Sequence.this[0] , ...
Sequence.this[0] , b.last
Sequence.this[1] , b[0]
Sequence.this[1] , b[1]
Sequence.this[1] , ...
... , ...
Sequence.this.last, b.last
§append an entire list to this linked list
create a Sequence that consists of all the elements of this Sequence followed
by all the elements of s
does the Sequence contain element x?
count the number of elements in this Sequence. Note that this typically
runs forever if executed on an endless list
For lists that are not array backed, this might require time in O(count).
get the number of non-overlapping matches of l within this
get the number of matches of l
create a list that repeats the current Sequence indefinitely. In case 'Sequence.this'
is empty, returns 'nil'
create a list that consists of the elements of this Sequence except the first
n elements
NOTE: this may have performance in O(n) unless it is backed by an immutable array.
Lazily drop the first elements of this Sequence for which predicate 'p' holds.
Get the dynamic type of this instance. For value instances `x`, this is
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
§
append an entire list to this linked list
create a Sequence that consists of all the elements of this Sequence followed
by all the elements of s
does the Sequence contain element x?
count the number of elements in this Sequence. Note that this typically
runs forever if executed on an endless list
For lists that are not array backed, this might require time in O(count).
get the number of non-overlapping matches of l within this
get the number of matches of l
create a list that repeats the current Sequence indefinitely. In case 'Sequence.this'
is empty, returns 'nil'
create a list that consists of the elements of this Sequence except the first
n elements
NOTE: this may have performance in O(n) unless it is backed by an immutable array.
Lazily drop the first elements of this Sequence for which predicate 'p' holds.
Get the dynamic type of this instance. For value instances `x`, this is
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
create a Sequence that consists of all the elements of this Sequence followed
by all the elements of s
by all the elements of s
does the Sequence contain element x?
count the number of elements in this Sequence. Note that this typically
runs forever if executed on an endless list
For lists that are not array backed, this might require time in O(count).
get the number of non-overlapping matches of l within this
get the number of matches of l
create a list that repeats the current Sequence indefinitely. In case 'Sequence.this'
is empty, returns 'nil'
create a list that consists of the elements of this Sequence except the first
n elements
NOTE: this may have performance in O(n) unless it is backed by an immutable array.
Lazily drop the first elements of this Sequence for which predicate 'p' holds.
Get the dynamic type of this instance. For value instances `x`, this is
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
does the Sequence contain element x?
count the number of elements in this Sequence. Note that this typically
runs forever if executed on an endless list
For lists that are not array backed, this might require time in O(count).
get the number of non-overlapping matches of l within this
get the number of matches of l
create a list that repeats the current Sequence indefinitely. In case 'Sequence.this'
is empty, returns 'nil'
create a list that consists of the elements of this Sequence except the first
n elements
NOTE: this may have performance in O(n) unless it is backed by an immutable array.
Lazily drop the first elements of this Sequence for which predicate 'p' holds.
Get the dynamic type of this instance. For value instances `x`, this is
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
count the number of elements in this Sequence. Note that this typically
runs forever if executed on an endless list
For lists that are not array backed, this might require time in O(count).
runs forever if executed on an endless list
For lists that are not array backed, this might require time in O(count).
get the number of non-overlapping matches of l within this
get the number of matches of l
create a list that repeats the current Sequence indefinitely. In case 'Sequence.this'
is empty, returns 'nil'
create a list that consists of the elements of this Sequence except the first
n elements
NOTE: this may have performance in O(n) unless it is backed by an immutable array.
Lazily drop the first elements of this Sequence for which predicate 'p' holds.
Get the dynamic type of this instance. For value instances `x`, this is
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
get the number of non-overlapping matches of l within this
get the number of matches of l
create a list that repeats the current Sequence indefinitely. In case 'Sequence.this'
is empty, returns 'nil'
create a list that consists of the elements of this Sequence except the first
n elements
NOTE: this may have performance in O(n) unless it is backed by an immutable array.
Lazily drop the first elements of this Sequence for which predicate 'p' holds.
Get the dynamic type of this instance. For value instances `x`, this is
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
get the number of matches of l
create a list that repeats the current Sequence indefinitely. In case 'Sequence.this'
is empty, returns 'nil'
create a list that consists of the elements of this Sequence except the first
n elements
NOTE: this may have performance in O(n) unless it is backed by an immutable array.
Lazily drop the first elements of this Sequence for which predicate 'p' holds.
Get the dynamic type of this instance. For value instances `x`, this is
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
create a list that repeats the current Sequence indefinitely. In case 'Sequence.this'
is empty, returns 'nil'
is empty, returns 'nil'
create a list that consists of the elements of this Sequence except the first
n elements
NOTE: this may have performance in O(n) unless it is backed by an immutable array.
Lazily drop the first elements of this Sequence for which predicate 'p' holds.
Get the dynamic type of this instance. For value instances `x`, this is
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
create a list that consists of the elements of this Sequence except the first
n elements
NOTE: this may have performance in O(n) unless it is backed by an immutable array.
n elements
NOTE: this may have performance in O(n) unless it is backed by an immutable array.
Lazily drop the first elements of this Sequence for which predicate 'p' holds.
Get the dynamic type of this instance. For value instances `x`, this is
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
Lazily drop the first elements of this Sequence for which predicate 'p' holds.
Get the dynamic type of this instance. For value instances `x`, this is
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
Get the dynamic type of this instance. For value instances `x`, this is
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
equal to `type_of x`, but for `x` with a `ref` type `x.dynamic_type` gives
the actual runtime type, while `type_of x` results in the static
compile-time type.
There is no dynamic type of a type instance since this would result in an
endless hierarchy of types. So for Type values, dynamic_type is redefined
to just return Type.type.
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
the euclidean norm of this sequence
i.e. the square of the sum of squares of this sequence
i.e. the square of the sum of squares of this sequence
filter elements using predicate f
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
filter elements using predicate f
values for which f is false are dropped
values for which f is false are dropped
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
get the index of pattern within this Sequence or nil if it does not exist
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
uses the Knuth-Morris-Pratt algorithm
port of racket code from this paper:
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8EFA77D663D585B68630E372BCE1EBA4/S0956796824000017a.pdf/knuth-morris-pratt-illustrated.pdf
worst-case performance: O( seq_length ) + O( pattern_length )
worst-case space complexity: O( pattern_length )
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
is this sequence known to be finite? For infinite sequences, features like
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
count diverge.
TRUE = known finite
FALSE = known infinite
nil = unknown
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
get the first element of this Sequence
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
get the first element of this Sequence or default if sequence is empty
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
map each element of this Sequence to Sequence
Then flatten the result by one level,
essentially combining all the sequences.
Then flatten the result by one level,
essentially combining all the sequences.
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
fold the elements of this Sequence using the given monoid.
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
e.g., to sum the elements of a Sequence of i32, use s.fold i32.sum
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
fold the elements of this non-empty Sequence using the given function
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
e.g., to find the minimum of a Sequence of i32, use `s.fold1 (<=)`
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
fold the elements of this Sequence using the given function and initial
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
value.
In case this Sequence is empty, the result is `e`.
e.g., to find the product of a Sequence of i32, use `s.foldf (*) 1`
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
create a list and call 'for_each f' on it
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
apply 'f' to each element 'e' as long as 'f e'
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
freeze this list, i.e., turn all references into immutable values
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
get a function that, given an index, returns the element at that index
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
the nth element in the sequence, must exist
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
determine the index of element x within this list. 0 if x is at the
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
head of the list, 1 if it comes directly after head, etc. nil if x is
not in the list.
adds the corresponding index to
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
adds the corresponding index to
every element in the sequence
every element in the sequence
adds an index to every element
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
adds an index to every element
in the sequence starting at start_idx
in the sequence starting at start_idx
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
consume all elements of this Sequence by f. This is an infix operator alias
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
for for_each.
Ex.: To print all the elements of a list, you can use
1..10 ! say
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
filter elements using predicate f, infix operator
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
synonym of filter.
NYI: What is better, 'infix |&' or 'infix &', or something else?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
infix operand synonym for concat_sequences
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
map the Sequence to a new Sequence applying function f to all elements
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
This is an infix operator alias of map enabling piping code like
l := 1..10 | *10 | 300-
to obtain 290,280,270,...200
Note that map and therefore also this operator is lazy, so
_ := (1..10 | say)
will not print anything while
(1..10 | say).for_each _->unit
will print the elements since `for_each` is not lazy.
filter elements using predicate f, infix operator
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
filter elements using predicate f, infix operator
synonym of filter.
synonym of filter.
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
check if predicate f holds for all elements
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
check if predicate f holds for at least one element
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
insert element v at position at
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
apply transducer to sequence, returning a sequence of results
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
example usage:
human(age i32) is
ages := map (Sequence i32) human i32 (x -> x.age)
gt_ten := filter (Sequence i32) i32 (x -> x > 10)
xf := ages ∘ gt_ten
say ([human(4), human(12), human(30)].into xf) # [12,30]
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
is this Sequence known to be array backed? If so, this means that operations
like index[] are fast.
like index[] are fast.
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
is this Sequence empty?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
check if argument is a valid index in this sequence.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
Note that this may have a performance in O(i) unless this
Sequence is_array_backed.
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
get the last element of this Sequence
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
This may take time in O(count), in particular, it may not terminate
for an infinite Sequence.
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
get the last element of this Sequence or default if sequence is empty
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
map the Sequence to a new Sequence applying function f to all elements
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
This performs a lazy mapping, f is called only when the elements
in the resulting list are accessed.
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
Map this Sequence to f applied to neighboring pairs of values
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
in this Sequence.
In case this Sequence has less than two elements, the result will
be the empty list.
ex. to obtain a list of differences you, you may use `map_pairs (-)`:
[2,3,5,7,11,13,17,19,23,29].map_pairs a,b->b-a
results in `[1,2,2,4,2,4,2,4,6]`
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
maximum value in the sequence
the median of the sequence
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
the median of the sequence
https://en.wikipedia.org/wiki/Median
https://en.wikipedia.org/wiki/Median
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
minimum value in the sequence
§short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
§
short-hand features to get the mutable references from `n`
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
the nth element in the sequence if it exists, wrapped in an option,
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
nil otherwise.
Complexity: if Sequence is array backed O(1) otherwise O(n)
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
create a new Sequence from tuples of all combinations of elements
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
of this Sequence and all elements of 'b' iterating of 'b' repeatedly
as follows
(Sequence.this[0] , b[0] )
(Sequence.this[0] , b[1] )
(Sequence.this[0] , b[2] )
(Sequence.this[0] , ... )
(Sequence.this[0] , b.last)
(Sequence.this[1] , b[0] )
(Sequence.this[1] , b[1] )
(Sequence.this[1] , ... )
(... , ... )
(Sequence.this.last, b.last)
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
calls `f` for element in the Sequence.
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
Unlike `for_each` this returns itself
allowing easier composition with
other Sequence features.
example:
[1,2,3,4,5]
.filter is_prime
.peek say
.drop_while <10
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
convenience prefix operator to create a string from a value.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
This permits usage of `$` as a prefix operator in a similar way both
inside and outside of constant strings: $x and "$x" will produce the
same string.
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
reduce this Sequence to R with an initial value init
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
and a reducing function f.
the reduction is finished once f yields abort or
if the end of the sequence is reached.
§(R type, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) => outcome R [Inherited from Sequence]reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
§
(R
type
, init R, f Binary (choice R (abort (outcome R))) R Sequence.T) =>
outcome R [Inherited from Sequence]
reduce this Sequence to `outcome R`
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
with an initial value `init` and a reducing function `f`.
the reduction is finished once `f` yields `abort` or
if the end of the sequence is reached.
§replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
§
replace all occurrences of old by new
§(old Sequence Sequence.T, new Sequence Sequence.T, n u64) => list Sequence.T [Inherited from Sequence]replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
§
(old Sequence Sequence.T, new Sequence Sequence.T, n u64)
=>
list Sequence.T [Inherited from Sequence]
replace the first n occurrences of old by new
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
reverse the order of the elements in this Sequence
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
map this Sequence to a list that contains the result of folding
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
all prefixes using the given monoid.
e.g., for a Sequence of i32 s, s.scan i32.sum creates a list of
partial sums (0..).map x->(s.take x).fold i32.sum
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
create a slice from this Sequence that consists of the elements starting at index
from (including) up to index to (excluding).
from (including) up to index to (excluding).
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
sort this Sequence
§(less_or_equal Binary bool Sequence.T Sequence.T) => container.sorted_array Sequence.T [Inherited from Sequence]sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
§
(less_or_equal Binary bool Sequence.T Sequence.T)
=>
container.sorted_array Sequence.T [Inherited from Sequence]
sort this Sequence using the order defined by less_or_equal
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
create a tuple of two Sequences by splitting this at the given index, i.e.,
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
a Sequence of length 'at' and one of length 'count-at'.
at may be <= 0 or >= count, in which case the resulting tuple will be the
(empty list, Sequence.this.as_list) or (Sequence.this.as_list, empty list), resp.
does this sequence start with l?
does this sequence start with l?
On call to `Mutable_Linked_List LM T data` creates a minimal list consisting
of only one single element. To create larger rings, you can either call
`append` to add single cells, or `concat` to concatenate two lists.