lambdas 0.2.0

Creator: bradpython12

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Description:

lambdas 0.2.0

Write short and fully-typed lambdas where you need them.
Features

Allows to write lambdas as _
Fully typed with annotations and checked with mypy, PEP561 compatible
Has a bunch of helpers for better composition
Easy to start: has lots of docs, tests, and tutorials

Installation
pip install lambdas

You also need to configure mypy correctly and install our plugin:
# In setup.cfg or mypy.ini:
[mypy]
plugins =
lambdas.contrib.mypy.lambdas_plugin

We recommend to use the same mypy settings we use.
Examples
Imagine that you need to sort an array of dictionaries like so:
>>> scores = [
... {'name': 'Nikita', 'score': 2},
... {'name': 'Oleg', 'score': 1},
... {'name': 'Pavel', 'score': 4},
... ]

>>> print(sorted(scores, key=lambda item: item['score']))
[{'name': 'Oleg', 'score': 1}, {'name': 'Nikita', 'score': 2}, {'name': 'Pavel', 'score': 4}]

And it works perfectly fine.
Except, that you have to do a lot of typing for such a simple operation.
That's where lambdas helper steps in:
>>> from lambdas import _

>>> scores = [
... {'name': 'Nikita', 'score': 2},
... {'name': 'Oleg', 'score': 1},
... {'name': 'Pavel', 'score': 4},
... ]

>>> print(sorted(scores, key=_['score']))
[{'name': 'Oleg', 'score': 1}, {'name': 'Nikita', 'score': 2}, {'name': 'Pavel', 'score': 4}]

It might really save you a lot of effort,
when you use a lot of lambda functions.
Like when using returns library.
We can easily create math expressions:
>>> from lambdas import _

>>> math_expression = _ * 2 + 1
>>> print(math_expression(10))
21
>>> complex_math_expression = 50 / (_ ** 2) * 2
>>> print(complex_math_expression(5))
100.0

Work in progress:

_.method() is not supported yet for the same reason
TypedDicts are not tested with __getitem__
__getitem__ does not work with list and tuples (collections), only dicts (mappings)

For now you will have to use regular lamdbas in these cases.

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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