IterFun implements an eager iterator class reminiscent of Elixir's Enum
structure
that features a series of handy methods for performing common data transformations.
It's a continuously evolving project specifically developed to meet my personal needs, but I have decided to put it out in the open in case someone else find it as useful as me. Contributions in form of pull requests or suggestions are always welcome. If you need a more mature library for your project, consider one of these alternatives instead:
Given an array of integers domain
and an integer target
, return indices of the
two numbers such that they add up to target. You may assume that each input would
have exactly one solution, and you may not use the same element twice. You can
return the answer in any order.
from iterfun import Iter
target = 12
domain = [45, 26, 5, 41, 58, 97, 82, 9, 79, 22, 3, 74, 70, 84, 17, 79, 41, 96, 13, 89]
pair = Iter(domain) \
.filter(lambda x: x < target) \
.combinations(2) \
.filter(lambda x: sum(x) == target) \
.flatten() \
.to_list()
# [7, 10]
print(Iter(domain).find_index(lambda x: x in pair).image)
For reasons of simplicity, the mutable state in image
is exposed as a list or
dictionary and not as a generator which is capable of dealing with very large
sequences. It's an implementation detail that is necessary for some index-based methods,
though this behavior might change in future versions of this library where applicable.
There is probably room to improve the overall performance and accuracy of this library. To this end, future updates will also increase the test coverage in order to consider more edge cases and method interoperability. Notice that the terms and conditions of the MIT License will always apply.
This method reference serves as a first point of contact to help you discover what this library is capable of. Documentation and small, self-contained examples are provided in the doc strings of each method that you can read in the privacy of your code editor of choice.
invert
is_even
is_odd
is_prime
miller_rabin
sign
all
any
at
avg
cartesian
chunk_by
chunk_every
chunk_while
combinations
combinations_with_replacement
count
count_until
dedup
dedup_by
difference
drop
drop_every
drop_while
duplicates
filter
find
find_index
find_value
flat_map
flat_map
flat_map_reduce
flatten
frequencies
group_by
intersects
intersperse
into
is_disjoint
is_empty
is_member
is_subset
is_superset
join
linspace
map
map_every
map_intersperse
map_join
map_reduce
max
min
min_max
open
permutations
product
randint
random
range
reduce
reduce_while
reject
reverse
reverse_slice
save
scan
shorten
shuffle
slice
slide
sort
split
split_while
split_with
sum
symmetric_difference
take
take_every
take_random
take_while
to_dict
to_list
transpose
union
unique
unzip
with_index
zip_reduce
zip_with
Name | Mail Address | GitHub Profile |
---|---|---|
Stefan Greve | greve.stefan@outlook.jp | StefanGreve |
See also the list of contributors who participated in this project.
This project is licensed under the MIT License - see the LICENSE file for more details.