def permuteFloats(lst):
startList = \
pipe(lst,
[
F(List.map)(
Basics.toFloat
)
])
newElements = \
pipe(startList,
[
List.sort,
F(List.map)(
lambda n:
(n + 0.5)
),
lambda items:
List.cons(0.5, items)
])
return pipe(newElements, [
F(List.map)(List.singleton),
F(List.map)(lambda x: List.append(startList, x))
])
def ranks(lst):
return \
pipe(lst,
[
F(List.indexedMap)(
Tuple.pair
),
F(List.sortBy)(
Tuple.second
),
F(List.map)(
Tuple.first
),
F(List.indexedMap)(
Tuple.pair
),
F(List.sortBy)(
Tuple.second
),
F(List.map)(
Tuple.first
),
F(List.map)(
lambda n:
(n + 1)
)
])
def map5(lst):
return \
pipe(lst,
[
F(List.map5)(
lambda a, b, c, d, e:
F(Tuple.pair)(
a,
F(Tuple.pair)(
b,
F(Tuple.pair)(
c,
F(Tuple.pair)(
d,
e
)
)
)
)
,
List.toElm([ 10, 20, 30 ]),
List.toElm([ 5, 8, 7 ]),
List.toElm([ 1, 2, 3, 4, 5 ]),
List.toElm([ 33, 97, 103 ])
)
])
def map2(lst):
return \
pipe(lst,
[
F(List.map2)(
List.range,
List.toElm([ 1, 2, 3 ])
)
])
def foldr(lst):
return \
pipe(lst,
[
F(List.foldr)(
List.cons,
List.toElm([ ])
)
])
def filter(lst):
return \
pipe(lst,
[
F(List.filter)(
lambda x:
(x == 4)
)
])
def map2Pythag(lst):
return \
pipe(lst,
[
F(List.map2)(
lambda x, y:
((x * x) + (y * y))
,
List.toElm([ 3, 5, 7 ])
)
])
def map3(lst):
return \
pipe(lst,
[
F(List.map3)(
lambda x, y, z:
((x * 100) + ((y * 10) + z))
,
List.toElm([ 10, 20, 30 ]),
List.toElm([ 5, 8, 7 ])
)
])
def factorial2(n):
return \
pipe(F(List.range)(
1,
n
),
[
F(List.foldl)(
lambda a, b: a * b,
1
)
])
def map4(lst):
return \
pipe(lst,
[
F(List.map4)(
lambda a, b, c, d:
((a + b) * (c + d))
,
List.toElm([ 10, 20, 30 ]),
List.toElm([ 5, 8, 7 ]),
List.toElm([ 1, 2 ])
)
])
def unzip(lst):
return \
pipe(lst,
[
F(List.map)(
lambda x:
F(Tuple.pair)(
x,
(x * 3)
)
),
List.unzip
])
def ranks(lst):
"""
This returns a list of integers representing the
"each" element in the input list. The rank of 0
is for the "lowest" element in the list, and so on.
"""
return pipe(lst, [
(List.indexedMap)(Tuple.pair),
(List.sortBy)(Tuple.second),
(List.map)(Tuple.first),
(List.indexedMap)(Tuple.pair),
(List.sortBy)(Tuple.second),
(List.map)(Tuple.first),
])
