Custom pipes
Project description
Custom pipes
Description
This pack has some custom pipes to work with the pipe package.
This package is compatible with python 3.
Pipes
reduce
list1 = [1, 2, 3, 4, 5, 6, 7]
result = list1 | reduce(lambda a, b: a + b)
list1 = []
# raises TypeError
_ = list1 | reduce(lambda a, b: a + b)
list1 = [1]
result = list1 | reduce(lambda a, b: a + b)
fold
list1 = [1, 2, 3, 4, 5, 6, 7]
result = list1 | fold(lambda a, b: a + b, 0)
list1 = [1, 2, 3, 4, 5, 6, 7]
result = list1 | fold(lambda a, b: f"{a}/{b}" if a else f"{b}", "")
list1 = []
_ = list1 | fold(lambda a, b: f"{a}/{b}" if a else f"{b}", "")
deep_flatten
list1 = [[1,2], [3,4]]
# result is [1, 2, 3, 4]
result = list(list1 | deep_flatten())
result = list(1 | deep_flatten())
# result is [1]
list1 = [1, 2, 3, 4]
# result is [1, 2, 3, 4]
result = list(list1 | deep_flatten())
list1 = [[1,2], [3, [4, 5]]]
# result is [1, 2, 3, 4, 5]
result = list(list1 | deep_flatten())
list1 = [[1,2], [3, [4, [5, 6]]]]
# result is [1, 2, 3, 4, 5, 6]
result = list(list1 | deep_flatten())
deep_flatmap
list1:list[int] = [1, 2, 3, 4]
# result is [2, 3, 4, 5]
result = list(list1 | deep_flatmap(lambda x: x+1))
list1 = [[1, 2], [3, 4]]
# result is [2, 3, 4, 5]
result = list(list1 | deep_flatmap(lambda x: x+1))
list1 = [[1, 2], [3, [4]]]
# result is [2, 3, 4, 5]
result = list(list1 | deep_flatmap(lambda x: x+1))
result = list(1 | deep_flatmap(lambda x: x))
# result is [1]
flatten
list1 = [[1, 2], [3, 4]]
# result is [1, 2, 3, 4]
result = list(list1 | flatten())
list1 = [1, 2, 3, 4]
# raises TypeError
_ = list(list1 | flatten())
list1 = [[[1, 2]], [[3, 4]]]
# result is [[1, 2], [3, 4]]
result = list(list1 | flatten())
flatmap
list1:list = [1, 2, 3, 4]
# raises TypeError
_ = list(list1 | flatmap(lambda x: x+1))
list1 = [[1, 2], [3, [4]]]
# raises TypeError
_ = list(list1 | flatmap(lambda x: x+1))
# raises TypeError
_ = list(1 | flatmap(lambda x: x+1))
list1:list = [[1, 2], [3, 4]]
# result is [2, 3, 4, 5]
result = list(list1 | flatmap(lambda x: x+1))
as_dict
data = [(1, 2), (3, 4)]
# result {1:2, 3:4}
result = data | as_dict()
as_list
data = range(1, 5)
# result is = [1, 2, 3, 4]
result = data | as_list()
as_set
data = [1, 2, 3, 4]
# result {1, 2, 3, 4}
result = data | as_set()
split
data = [1, 2, 3, 4]
# result is ([2, 4], [1, 3])
result = data | split(lambda x: x%2==0)
invoke
data = [1, 2, 3, 4]
result = data | invoke(len)
# result is 4
foreach
data = [1, 2, 3, 4]
# prints 1, 2, 3, 4
data | foreach(print)
def increment(x):
print(x + 1)
data = [1, 2, 3, 4]
# prints 2, 3, 4, 5
data | foreach(increment)
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