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Yet another python streams library

Project description

tinystream / python-streams

This is a simple and lightweight Streams API inspired by Java Streams with support for type hinting.

This package is release as tinystream at pypi.

Basic API

from tinystream import Stream

stream = Stream.of([1, 2, 3, 4, 5]) # of_many(*), of_dict()

stream \
    .map(lambda x: x + 1) \       # flatmap(), each(), next(), peek(), map_key()
    .filter(lambda x: x > 2) \    # filter_key()
    .sorted(int, reverse=True) \  # sort()
    .reverse() \                  # collect(), count()
    .limit(2) \
    .concat([4]) \
    .sum()                        # reduce(), max(), min()

Typehinting

Since Python does not support typed lambdas, this library implements a workaround.

from tinystream import Stream

stream = Stream.of(["A", "B", "C"], str)

This is not necessary when typing is used:

from tinystream import Stream
from typing import List

list: List[str] = ["A", "B", "C"]
stream = Stream.of(list)

Type hinting the given type:

from dataclasses import dataclass

@dataclass
class Node:
    name: str
    parent: "Node" = None

for lambdas:

from tinystream import Stream

parent = Node(name="B")
child = Node(name="A", parent=parent)

stream = Stream.of([child])
assert stream.map(lambda x: x.parent, Node).next().name == "B"

This is not necessary when you pass a mapping function:

def map_parent(n: Node):
    return n.parent

assert stream.map(map_parent).next().name == "B"

End of stream

Calling methods like sum(), collect(), count()... will end the stream.

More features

Filter by key existing

items_with_name = Stream.of([child]).filter_key("name")

Map name

names = Stream.of([child]).map_key("name")

Collected join

all_names = Stream.of([child]).map_key("name").join(", ")

Stream dictionaries

Dictionaries are streamed as tuples(key, value)

children = {"a": child} 
stream = Stream.of_dict(children)
keys = stream.map(lambda tuple: tuple[0])

Comparison with other libraries

There are a couple of other implementation to fulfill similar requirements.

Run the tests

PYTHONPATH="." pytest --cov=tinystream tests/

Release update

  1. Update version in setup.py
  2. Package library
    python setup.py sdist
    
  3. Publish library
    twine upload dist/tinystream-[version].tar.gz
    

References

Project details


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