{"author":null,"author_email":"Patrick Kidger ","bugtrack_url":null,"classifiers":["Development Status :: 3 - Alpha","License :: OSI Approved :: Apache Software License","Natural Language :: English","Programming Language :: Python :: 3"],"description":"

A Wadler–Lindig ✨pretty-printer✨ for Python

\n\nThis library is for you if you need:\n\n- Something like the built-in `pprint.pprint`, but which consumes less horizontal space. For example in error messages.\n- If you have complicated custom types that you'd like to create pretty well-formatted reprs for. For example nested trees of dataclasses / PyTorch modules / etc.\n\nMain features:\n\n- Absolutely tiny implementation (77 lines of code for the main Wadler–Lindig algorithm, 223 more for teaching it how to handle all Python types).\n- Simpler than the original algorithm by Wadler & Lindig (removes some dead code).\n- Supports multi-line unbroken text strings.\n- Supports ANSI escape codes and colours.\n- Zero dependencies.\n\n## Installation\n\n```bash\npip install wadler_lindig\n```\n\n## Documentation\n\nAvailable at [https://docs.kidger.site/wadler_lindig](https://docs.kidger.site/wadler_lindig).\n\n## Example\n\n```python\nimport dataclasses\nimport numpy as np\nimport wadler_lindig as wl\n\n@dataclasses.dataclass\nclass MyDataclass:\n x: list[str]\n y: np.ndarray\n\nobj = MyDataclass([\"lorem\", \"ipsum\", \"dolor sit amet\"], np.zeros((2, 3)))\n\nwl.pprint(obj, width=30, indent=4)\n# MyDataclass(\n# x=[\n# 'lorem',\n# 'ipsum',\n# 'dolor sit amet'\n# ],\n# y=f64[2,3](numpy)\n# )\n```\n\n## API at a glance\n\nFor day-to-day pretty-printing objects: `pprint` (to stdout), `pformat` (as a string), `pdiff` (between two objects).\n\nFor creating custom pretty-printed representations:\n\n- The core Wadler–Lindig document types: `AbstractDoc`, `BreakDoc`, `ConcatDoc`, `GroupDoc`, `NestDoc`, `TextDoc`.\n- `pdoc` will convert any Python object to a Wadler–Lindig document, with the `__pdoc__` method called on custom types if it is available.\n- `ansi_format` (to add ANSI colour codes), `ansi_strip` (to remove ANSI codes).\n- Several common helpers for creating Wadler–Lindig documents: `array_summary`, `bracketed`, `comma`, `join`, `named_objs`.\n\n## FAQ\n\n

What is the difference to the built-in `pprint` library?

\n\n1. The main difference is that the Wadler–Lindig algorithm produces output like\n\n```\nMyDataclass(\n x=SomeNestedClass(\n y=[1, 2, 3]\n )\n)\n```\n\nIn contrast `pprint` produces output like\n\n```\nMyDataclass(x=SomeNestedClass(y=[1,\n 2,\n 3]))\n```\n\nwhich consumes a lot more horizontal space.\n\n2. By default we print NumPy arrays / PyTorch tensors / etc. in a concise form e.g. `f32[2,3](numpy)` to denote a NumPy array with shape `(2, 3)` and dtype `float32`. (Set `short_arrays=False` to disable this.)\n\n3. We provide support for customising the pretty-printed representations of your custom types. Typically this is done via:\n\n ```python\n import wadler_lindig as wl\n\n class MyAmazingClass:\n def __pdoc__(self, **kwargs) -> wl.AbstractDoc:\n ... # Create your pretty representation here!\n\n def __repr__(self):\n # Calls `__pdoc__` and then formats to a particular width.\n return wl.pformat(self, width=80)\n ```\n\n In addition we support a `wadler_lindig.pprint(..., custom=...)` argument, if you don't own the type and so cannot add a `__pdoc__` method.\n\n

\n\n

What is the difference to `black` or `rust format`?

\n\nThe above are formatters for your source code. This `wadler_lindig` library is intended as an alternative to the built-in `pprint` library, which pretty-format Python objects at runtime.\n

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Dependency	Optional
hippogriffe	true
mkdocs	true
mkdocs-include-exclude-files	true
mkdocs-ipynb	true
mkdocs-material	true
mkdocstrings	true
numpy	true
pre-commit	true
pymdown-extensions	true
pytest	true

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