Skip to main content

No project description provided

Project description

numpydoc_decorator

This package allows you to build numpy-style docstrings programmatically and apply them using a decorator. This can be useful because:

  • Parts of your documentation, such as parameter descriptions, can be shared between functions, avoiding the need to repeat yourself.

  • Type information for parameters and return values is automatically picked up from type annotations and added to the docstring, avoiding the need to maintain type information in two places.

Installation

pip install numpydoc_decorator

Usage

Documentation a function

Here is an example of documenting a function:

from numpydoc_decorator import doc


@doc(
    summary="Say hello to someone.",
    extended_summary="""
        Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do
        eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad
        minim veniam, quis nostrud exercitation ullamco laboris nisi ut
        aliquip ex ea commodo consequat. Duis aute irure dolor in
        reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla
        pariatur. Excepteur sint occaecat cupidatat non proident, sunt in
        culpa qui officia deserunt mollit anim id est laborum.
    """,
    parameters=dict(
        name="The name of the person to greet.",
        language="The language in which to greet as an ISO 639-1 code.",
    ),
    returns="A pleasant greeting.",
    raises=dict(
        NotImplementedError="If the requested language has not been implemented yet.",
        ValueError="If the language is not a valid ISO 639-1 code."
    ),
    see_also=dict(
        print="You could use this function to print your greeting.",
    ),
    notes="""
        This function is useful when greeting someone else. If you would
        like something to talk about next, you could try [1]_.
    """,
    references={
        "1": """
            O. McNoleg, "The integration of GIS, remote sensing, expert systems
            and adaptive co-kriging for environmental habitat modelling of the
            Highland Haggis using object-oriented, fuzzy-logic and neural-
            network techniques," Computers & Geosciences, vol. 22, pp. 585-588,
            1996.
        """,
    },
    examples="""
        Here is how to greet a friend in English:

        >>> print(greet("Ford Prefect"))
        Hello Ford Prefect!

        Here is how to greet someone in another language:

        >>> print(greet("Tricia MacMillan", language="fr"))
        Salut Tricia MacMillan!

    """,
)
def greet(
    name: str,
    language: str = "en",
) -> str:
    if len(language) != 2:
        raise ValueError("language must be an ISO 639-1 code")
    if language == "en":
        return f"Hello {name}!"
    elif language == "fr":
        return f"Salut {name}!"
    else:
        raise NotImplementedError(f"language {language} not implemented")

Here is the docstring that will be created and attached to the decorated function:

>>> print(greet.__doc__)

Say hello to someone.

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do
eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad
minim veniam, quis nostrud exercitation ullamco laboris nisi ut
aliquip ex ea commodo consequat. Duis aute irure dolor in
reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla
pariatur. Excepteur sint occaecat cupidatat non proident, sunt in
culpa qui officia deserunt mollit anim id est laborum.

Parameters
----------
name : str
    The name of the person to greet.
language : str, optional, default: 'en'
    The language in which to greet as an ISO 639-1 code.

Returns
-------
str
    A pleasant greeting.

Raises
------
NotImplementedError
    If the requested language has not been implemented yet.
ValueError
    If the language is not a valid ISO 639-1 code.

See Also
--------
print : You could use this function to print your greeting.

Notes
-----
This function is useful when greeting someone else. If you would like
something to talk about next, you could try [1]_.

References
----------
.. [1] O. McNoleg, "The integration of GIS, remote sensing, expert systems
    and adaptive co-kriging for environmental habitat modelling of the
    Highland Haggis using object-oriented, fuzzy-logic and neural- network
    techniques," Computers & Geosciences, vol. 22, pp. 585-588, 1996.

Examples
--------
Here is how to greet a friend in English:

>>> print(greet("Ford Prefect"))
Hello Ford Prefect!

Here is how to greet someone in another language:

>>> print(greet("Tricia MacMillan", language="fr"))
Salut Tricia MacMillan!

Shared parameters

If you have parameters which are common to multiple functions, here is an approach you can take:

from numpydoc_decorator import doc
from typing_extensions import Annotated


class params:
    name = Annotated[str, "The name of a person."]
    language = Annotated[str, "An ISO 639-1 language code."]


@doc(
    summary="Say hello to someone you know.",
    returns="A personal greeting.",
)
def say_hello(
    name: params.name,
    language: params.language,
) -> str:
    pass


@doc(
    summary="Say goodbye to someone you know.",
    returns="A personal parting.",
)
def say_goodbye(
    name: params.name,
    language: params.language,
) -> str:
    pass

Here are the generated docstrings:

>>> print(say_hello.__doc__)

Say hello to someone you know.

Parameters
----------
name : str
    The name of a person.
language : str
    An ISO 639-1 language code.

Returns
-------
str
    A personal greeting.
>>> print(say_goodbye.__doc__)

Say goodbye to someone you know.

Parameters
----------
name : str
    The name of a person.
language : str
    An ISO 639-1 language code.

Returns
-------
str
    A personal parting.

Notes

There are probably lots of edge cases that this package has not covered yet. If you find something doesn't work as expected, or deviates from the numpydoc style guide in an unreasonable way, please feel free to submit a pull request.

Note that this package does deviate from the numpydoc style guide under some circumstances. For example, if a function does not have any type annotations, then there will be no type information in the docstring. The rationale for this is that all type information, if provided, should be provided through type annotations. However, some functions may choose not to annotate types for some or all parameters, but we still want to document them as best we can.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

numpydoc_decorator-1.5.1.tar.gz (10.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

numpydoc_decorator-1.5.1-py3-none-any.whl (10.1 kB view details)

Uploaded Python 3

File details

Details for the file numpydoc_decorator-1.5.1.tar.gz.

File metadata

  • Download URL: numpydoc_decorator-1.5.1.tar.gz
  • Upload date:
  • Size: 10.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.3.1 CPython/3.10.8 Linux/5.15.0-1034-azure

File hashes

Hashes for numpydoc_decorator-1.5.1.tar.gz
Algorithm Hash digest
SHA256 9430fcdecef73ba35ba45d74ba3d90b366eb4bab1674e41c1244afc83cff1345
MD5 9e2f99071cb8ce2a3968f9e1afd17145
BLAKE2b-256 1d0d456aa0596495a26f2ab082b097d21aaf888c89d7d1649eda9e44147a2291

See more details on using hashes here.

File details

Details for the file numpydoc_decorator-1.5.1-py3-none-any.whl.

File metadata

  • Download URL: numpydoc_decorator-1.5.1-py3-none-any.whl
  • Upload date:
  • Size: 10.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.3.1 CPython/3.10.8 Linux/5.15.0-1034-azure

File hashes

Hashes for numpydoc_decorator-1.5.1-py3-none-any.whl
Algorithm Hash digest
SHA256 2be093881b0f6f7a19c3d021b2cc4b04d83bc2078e7ecf777f097b152e268620
MD5 abb5a6b076e1531681d40ef6f51c34d9
BLAKE2b-256 a5a7fbe91dcfc1e1e974a5cfc39d5a50f9277e33ec85b80f9ca1b146e03f32d5

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page