2.5 KiB
Reductions
In Tomo, reductions are a way to express the idea of folding or reducing a collection of values down to a single value. Reductions use an infix operator surrounded by parentheses, followed by a collection:
nums := [10, 20, 30]
sum := (+) nums
>> sum
= 60
Reductions can be used as an alternative to generic functions like sum()
,
product()
, any()
, and all()
in Python, or higher-order functions like
foldl
and foldr
in functional programming:
# Sum:
>> (+) [10, 20, 30]
= 60
# Product:
>> (*) [2, 3, 4]
= 24
# Any:
>> (or) [no, yes, no]
= yes
# All:
>> (and) [no, yes, no]
= no
Minimum and Maximum
Reductions are especially useful for finding the minimum or maximum values in
a collection using the _min_
and _max_
infix operators.
# Get the maximum value:
>> (_max_) [10, 30, 20]
= 30
# Get the minimum value:
>> (_min_) [10, 30, 20]
= 10
The _min_
and _max_
operators also support field and method call suffixes,
which makes it very easy to compute the argmin/argmax (or keyed
minimum/maximum) of a collection. This is when you want to get the minimum or
maximum value according to some feature.
# Get the longest text:
>> (_max_.length) ["z", "aaaaa", "mmm"]
= "aaaaa"
# Get the number with the biggest absolute value:
>> (_max_:abs()) [1, -2, 3, -4]
= -4
Comprehensions
Reductions work not only with iterable values (arrays, sets, integers, etc.), but also with comprehensions. You can use comprehensions to perform reductions while filtering out values or while applying a transformation:
# Sum the lengths of these texts:
>> (+) t.length for t in ["a", "bc", "def"]
= 6
# Sum the primes between 1-100:
>> (+) i for i in 100 if i:is_prime()
= 1060
Empty Collection Behavior
If a collection has no members, the default behavior for a reduction is to
create a runtime error and halt the program with an informative error message.
If you instead want to provide a default fallback value, you can use else:
to
give one:
empty := [:Int]
>> (+) empty else: -1
= -1
>> (+) empty
# Error: empty iterable!
You can also provide your own call to fail()
or exit()
with a custom error
message, or a short-circuiting control flow statement (return
, stop
,
skip
) like this:
>> (_max_) things else: exit("No things!")
for nums in num_arrays:
product := (*) nums else: skip
do_thing(product)
func remove_best(things:[Thing]):
best := (_max_.score) things else: return
best:remove()