Metadata-Version: 2.1
Name: functionalpy
Version: 0.17.0
Summary: functionalpy
Author-email: Martin Bernstorff <martinbernstorff@gmail.com>
License: MIT License
        
        Copyright © 2023 Martin Bernstorff
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
        
Project-URL: homepage, https://github.com/MartinBernstorff/FunctionalPy
Project-URL: repository, https://github.com/MartinBernstorff/FunctionalPy
Project-URL: documentation, https://MartinBernstorff.github.io/FunctionalPy/
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: linetimer
Requires-Dist: polars
Provides-Extra: dev
Requires-Dist: cruft ==2.15.0 ; extra == 'dev'
Requires-Dist: pyright ==1.1.344 ; extra == 'dev'
Requires-Dist: pytest ==7.4.4 ; extra == 'dev'
Requires-Dist: pytest-cov ==4.1.0 ; extra == 'dev'
Requires-Dist: pytest-xdist ==3.5.0 ; extra == 'dev'
Requires-Dist: pytest-sugar ==0.9.7 ; extra == 'dev'
Requires-Dist: diff-cover ==8.0.2 ; extra == 'dev'
Requires-Dist: ruff ==0.1.9 ; extra == 'dev'

# FunctionalPy
[![Open in Dev Container](https://img.shields.io/static/v1?label=Dev%20Containers&message=Open&color=blue&logo=visualstudiocode)][dev container]
[![PyPI](https://img.shields.io/pypi/v/functionalpy.svg)][pypi status]
[![Python Version](https://img.shields.io/pypi/pyversions/FunctionalPy)][pypi status]
[![Tests](https://github.com/MartinBernstorff/FunctionalPy/actions/workflows/tests.yml/badge.svg)][tests]

[pypi status]: https://pypi.org/project/FunctionalPy/
[tests]: https://github.com/MartinBernstorff/FunctionalPy/actions?workflow=Tests
[dev container]: https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/MartinBernstorff/FunctionalPy/


<!-- start short-description -->
**ALPHA**: APIs can change dramatically without notice.

Python has implemented `map`, `filter` etc. as functions, rather than methods on a sequence. This makes the result harder to read and Iterators less used than they could be. FunctionalPy exists to change that. 

You get this 🔥:

```python
result = (Seq([1,2,3])
            .map(multiply_by_2)
            .filter(is_even))
```

Instead of this:

```python
sequence = [1,2,3]
multiplied = [multiply_by_2(x) for x in sequence]
result = [x for x in multiplied if is_even(x)]
```

Or this:

```python
result = filter(is_even, map(multiply_by_2, [1,2,3]))
```
<!-- end short-description -->

## Install
```bash
pip install functionalpy
```

## Usage
```python
from functionalpy import Seq

result = (Seq([1, 2])
            .filter(lambda x: x % 2 == 0)
            .map(lambda x: x * 2)
            .to_list()
)
assert result == [4]
```

## Prior art
FunctionalPy stands on the shoulders of Scala, Rust etc. 

Other Python projects have had similar ideas:
* [PyFunctional](https://github.com/EntilZha/PyFunctional) has existed for 7+ years with a comprehensive feature set. It is performant, with built-in lineage and caching. Unfortunately, this makes typing [non-trivial, with a 4+ year ongoing effort to add types](https://github.com/EntilZha/PyFunctional/issues/118).
* [flupy](https://github.com/olirice/flupy) is highly similar, well typed, and mature. I had some issues with `.flatten()` not being type-hinted correctly, but at the current level of maturity, `flupy` is likely a better library.
* Your library here? Feel free to make an issue if you have a good alternative!

## Contributing
### Conventions
#### Philosophy
* Make it work: Concise syntax borrowed from Scala, Rust etc.
* Make it right: Fully typed, no exceptions
* Make it fast: 
    * Concurrency through `.pmap`
    * (Future): Caching
    * (Future): Refactor operations to use generators
* Keep it simple: No dependencies

#### API design
As a heuristic, we follow the APIs of:
* Rust's [std::iter](https://doc.rust-lang.org/stable/std/iter/)
* Rust's [itertools](https://docs.rs/itertools/latest/itertools/index.html)

In cases where this conflicts with typical python implementations, the API should be as predictable as possible for Python users.

#### Devcontainer
1. Install [Orbstack](https://orbstack.dev/) or Docker Desktop. Make sure to complete the full install process before continuing.
2. If not installed, install VSCode
3. Press this [link](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/MartinBernstorff/FunctionalPy/)
4. Complete the setup process
5. Done! Easy as that.

## 💬 Where to ask questions

| Type                           |                        |
| ------------------------------ | ---------------------- |
| 🚨 **Bug Reports**              | [GitHub Issue Tracker] |
| 🎁 **Feature Requests & Ideas** | [GitHub Issue Tracker] |
| 👩‍💻 **Usage Questions**          | [GitHub Discussions]   |
| 🗯 **General Discussion**       | [GitHub Discussions]   |

[github issue tracker]: https://github.com/MartinBernstorff/FunctionalPy/issues
[github discussions]: https://github.com/MartinBernstorff/FunctionalPy/discussions


