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Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍 https://github.com/madlabunimib/PyCTBN
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PyCTBN/venv/lib/python3.9/site-packages/pandas/tests/util/test_doc.py

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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