semvec/pypi-packages huggingface dataset:
ltoml 0.1.0
A lil' TOML parser
License: MIT
Requires Python: >=3.6.1,<4.0.0
Keywords: toml

[![Build Status](https://github.com/hukkinj1/ltoml/workflows/Tests/badge.svg?branch=master)](https://github.com/hukkinj1/ltoml/actions?query=workflow%3ATests+branch%3Amaster+event%3Apush)
[![codecov.io](https://codecov.io/gh/hukkinj1/ltoml/branch/master/graph/badge.svg)](https://codecov.io/gh/hukkinj1/ltoml)
[![PyPI version](https://img.shields.io/pypi/v/ltoml)](https://pypi.org/project/ltoml)

# LTOML

> A lil' TOML parser

LTOML is a Python library for parsing [TOML](https://toml.io).
LTOML is fully compatible with [TOML v1.0.0](https://toml.io/en/v1.0.0).

## Installation

```bash
pip install ltoml
```

## Usage

```python
import ltoml

toml_str = """
top-level-key = 99

[namespace]
namespace-key = 17
"""
toml_dict = ltoml.loads(toml_str)
assert toml_dict == {"top-level-key": 99, "namespace": {"namespace-key": 17}}
```
calls 0.2.0
Utilities for callables
License: MIT
Requires Python: >=3.6,<4.0

🤙 Calls
========

.. image:: https://img.shields.io/pypi/v/calls.svg?style=flat-square
   :target: https://pypi.python.org/pypi/calls

.. image:: https://img.shields.io/pypi/l/calls.svg?style=flat-square
   :target: https://pypi.python.org/pypi/calls

.. image:: https://img.shields.io/pypi/pyversions/calls.svg?style=flat-square
   :target: https://pypi.python.org/pypi/calls

.. image:: https://img.shields.io/readthedocs/calls.svg?style=flat-square
   :target: http://calls.readthedocs.io/

.. image:: https://img.shields.io/badge/code%20style-black-000000.svg?style=flat-square
   :target: https://github.com/psf/black

Simple, typed, composable tools for callables. 
They're also good Python citizens with nice ``repr``, mypy support, and picklability.

Quickstart
----------

All utilities are directly importable.
See `the docs <https://calls.rtfd.io>`_ for a complete overview.

.. code-block:: python

  >>> from calls import raises, always, identity, flip, pipe

Installation
------------

It's available on PyPI.

.. code-block:: bash

  pip install calls