Why Gemfury? Push, build, and install  RubyGems npm packages Python packages Maven artifacts PHP packages Go Modules Bower components Debian packages RPM packages NuGet packages

alkaline-ml / pandas   python

Repository URL to install this package:

Version: 1.1.1 

/ tests / util / test_doc.py

from textwrap import dedent

from pandas.util._decorators import doc


@doc(method="cumsum", operation="sum")
def cumsum(whatever):
    """
    This is the {method} method.

    It computes the cumulative {operation}.
    """


@doc(
    cumsum,
    dedent(
        """
        Examples
        --------

        >>> cumavg([1, 2, 3])
        2
        """
    ),
    method="cumavg",
    operation="average",
)
def cumavg(whatever):
    pass


@doc(cumsum, method="cummax", operation="maximum")
def cummax(whatever):
    pass


@doc(cummax, method="cummin", operation="minimum")
def cummin(whatever):
    pass


def test_docstring_formatting():
    docstr = dedent(
        """
        This is the cumsum method.

        It computes the cumulative sum.
        """
    )
    assert cumsum.__doc__ == docstr


def test_docstring_appending():
    docstr = dedent(
        """
        This is the cumavg method.

        It computes the cumulative average.

        Examples
        --------

        >>> cumavg([1, 2, 3])
        2
        """
    )
    assert cumavg.__doc__ == docstr


def test_doc_template_from_func():
    docstr = dedent(
        """
        This is the cummax method.

        It computes the cumulative maximum.
        """
    )
    assert cummax.__doc__ == docstr


def test_inherit_doc_template():
    docstr = dedent(
        """
        This is the cummin method.

        It computes the cumulative minimum.
        """
    )
    assert cummin.__doc__ == docstr