Metadata-Version: 2.1
Name: pynction
Version: 0.4.0
Summary: Functional based library to support monads and other functional programming concepts
Home-page: https://github.com/niconunez96/pynction
License: MIT
Author: Nicolas Nuñez
Author-email: nicolas110996@gmail.com
Maintainer: Nicolas Nuñez
Maintainer-email: nicolas110996@gmail.com
Requires-Python: >=3.7,<4.0
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development
Classifier: Topic :: Utilities
Project-URL: Documentation, https://pynction.vercel.app/
Project-URL: Repository, https://github.com/niconunez96/pynction
Description-Content-Type: text/markdown

# Pynction 🐍

[![](https://img.shields.io/pypi/v/pynction.svg?maxAge=3600)](https://pypi.org/project/pynction/)

[![continuous_integration](https://github.com/niconunez96/pynction/actions/workflows/ci.yaml/badge.svg)](https://github.com/niconunez96/pynction/actions/workflows/ci.yaml)
[![codecov](https://codecov.io/gh/niconunez96/pynction/branch/main/graph/badge.svg?token=YI2ZOWV29E)](https://codecov.io/gh/niconunez96/pynction)
 [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

Functional based library to support haskell monads like Either, Maybe in a scala fashion style. The library also contains Try monad inspired from vavr and a Stream class which is pretty similar to scala and java stream API

Inspired in: [VΛVR](https://github.com/vavr-io/vavr)

## Why should you use it ?

Probably if you have reached this library you already know something about functional programming and Monads.
Well this library is another one that empowers your imperative code to start using functional programming concepts. This type of programming makes your code declarative as long as give you support to the most famous monads like `Maybe` and `Either`.
These monads make your interfaces explicit for error handling so paraphrasing `If it compiles, it works` this time it is `If mypy is happy, your code works`

## Basic examples

### Stream examples

```python
from pynction import stream_of, stream


foo = (
    stream_of([1, 2, 3, 4])
    .map(lambda a: a + 1)
    .filter(lambda n: n % 2 == 0)
    .flat_map(lambda n: [n, n * 2])
    .to_list()
)

# foo => [2, 4, 4, 8]

bar = (
    stream("example", "e", "something")
    .take_while(lambda s: s.startswith("e"))
    .to_list()
)

# bar => ["example", "e"]
```

### Maybe examples

```python
from pynction import maybe, nothing

def divide_10_by(n: int) -> Maybe[int]:
    if n == 0:
        return nothing
    return maybe(10 / n)

result = divide_10_by(2).get_or_else_get(-1)
# result => 5
result = divide_10_by(0).get_or_else_get(-1)
# result => -1
```

### Try examples

```python
from pynction import try_of


def add_10(n: int) -> int:
    if n > 10:
        raise Exception("n must be less than 10")
    return n + 10

try_example_1 = try_of(lambda: add_10(11)).map(lambda a: a + 1)
try_example_1.on(
    on_success=lambda a: print(f"Result: {a}"),
    on_failure=lambda e: print(f"Error: {e}"),
)
# ==> Will print "Error: n must be less than 10"

try_example_2 = try_of(lambda: add_10(9)).map(lambda a: a + 1)
try_example_2.on(
    on_success=lambda a: print(f"Result: {a}"),
    on_failure=lambda e: print(f"Error: {e}"),
)
# ==> Will print "Result: 20"


```

### Either examples

```python
from pynction import left, right, Either


LESS_THAN_10_LETTERS = Literal["LESS_THAN_10_LETTERS"]
GREATER_THAN_100 = Literal["GREATER_THAN_100"]
WordTransformationError = Literal[LESS_THAN_10_LETTERS, GREATER_THAN_100]

def make_upper_case_first_n_letters(word: str, number: int) -> Either[WordTransformationError, str]:
    if len(word) < 10:
        return left("LESS_THAN_10_LETTERS")
    elif number > 100:
        return left("GREATER_THAN_100")
    else:
        return right(word.upper()[0:number])

result = make_upper_case_first_n_letters("example", 10)
print(result) # ==> Will be Left("LESS_THAN_10_LETTERS")
```

## API

Check the [docs](https://pynction.vercel.app/)

