[1/17] Improve commons module documentation

Merge pull request #1055 from openfisca/documentation/commons

CHANGELOG.md

@@ -1,5 +1,11 @@
 # Changelog
 
+### 35.5.5 [#1055](https://github.com/openfisca/openfisca-core/pull/1055)
+
+#### Documentation
+
+- Complete the documentation of the commons module
+
 ### 35.5.4 [#1033](https://github.com/openfisca/openfisca-core/pull/1033)
 
 #### Bug Fixes

openfisca_core/commons/__init__.py

@@ -1,28 +1,67 @@
-# Transitional imports to ensure non-breaking changes.
-# Could be deprecated in the next major release.
-#
-# How imports are being used today:
-#
-#   >>> from openfisca_core.module import symbol
-#
-# The previous example provokes cyclic dependency problems
-# that prevent us from modularizing the different components
-# of the library so to make them easier to test and to maintain.
-#
-# How could them be used after the next major release:
-#
-#   >>> from openfisca_core import module
-#   >>> module.symbol()
-#
-# And for classes:
-#
-#   >>> from openfisca_core.module import Symbol
-#   >>> Symbol()
-#
-# See: https://www.python.org/dev/peps/pep-0008/#imports
+"""Common tools for contributors and users.
 
-from .dummy import Dummy  # noqa: F401
+The tools in this sub-package are intended, to help both contributors
+to OpenFisca Core and to country packages.
+
+Official Public API:
+    * :func:`.apply_thresholds`
+    * :func:`.average_rate`
+    * :func:`.concat`
+    * :func:`.empty_clone`
+    * :func:`.marginal_rate`
+    * :func:`.stringify_array`
+    * :func:`.switch`
+
+Deprecated:
+    * :class:`.Dummy`
+
+Note:
+    The ``deprecated`` imports are transitional, in order to ensure non-breaking
+    changes, and could be removed from the codebase in the next
+    major release.
+
+Note:
+    How imports are being used today::
+
+        from openfisca_core.commons import *  # Bad
+        from openfisca_core.commons.formulas import switch  # Bad
+        from openfisca_core.commons.decorators import deprecated  # Bad
+
+
+    The previous examples provoke cyclic dependency problems, that prevent us
+    from modularizing the different components of the library, which would make
+    them easier to test and to maintain.
+
+    How they could be used in a future release:
+
+        from openfisca_core import commons
+        from openfisca_core.commons import deprecated
+
+        deprecated()  # Good: import classes as publicly exposed
+        commons.switch()  # Good: use functions as publicly exposed
+
+    .. seealso:: `PEP8#Imports`_ and `OpenFisca's Styleguide`_.
+
+    .. _PEP8#Imports:
+        https://www.python.org/dev/peps/pep-0008/#imports
+
+    .. _OpenFisca's Styleguide:
+        https://github.com/openfisca/openfisca-core/blob/master/STYLEGUIDE.md
+
+"""
+
+# Official Public API
 
 from .formulas import apply_thresholds, concat, switch  # noqa: F401
 from .misc import empty_clone, stringify_array  # noqa: F401
 from .rates import average_rate, marginal_rate  # noqa: F401
+
+__all__ = ["apply_thresholds", "concat", "switch"]
+__all__ = ["empty_clone", "stringify_array", *__all__]
+__all__ = ["average_rate", "marginal_rate", *__all__]
+
+# Deprecated
+
+from .dummy import Dummy  # noqa: F401
+
+__all__ = ["Dummy", *__all__]

openfisca_core/commons/dummy.py

@@ -2,7 +2,17 @@
 
 
 class Dummy:
-    """A class that does nothing."""
+    """A class that did nothing.
+
+    Examples:
+        >>> Dummy()
+        <openfisca_core.commons.dummy.Dummy object...
+
+    .. deprecated:: 34.7.0
+        :class:`.Dummy` has been deprecated and it will be removed in the
+        future.
+
+    """
 
     def __init__(self) -> None:
         message = [

openfisca_core/commons/formulas.py

@@ -2,8 +2,24 @@
 
 
 def apply_thresholds(input, thresholds, choices):
-    """
-    Return one of the choices depending on the input position compared to thresholds, for each input.
+    """Makes a choice based on an input and thresholds.
+
+    From a list of ``choices``, this function selects one of these values based on a list
+    of inputs, depending on the value of each ``input`` within a list of
+    ``thresholds``.
+
+    Args:
+        input: A list of inputs to make a choice from.
+        thresholds: A list of thresholds to choose.
+        choices: A list of the possible values to choose from.
+
+    Returns:
+        :obj:`numpy.ndarray` of :obj:`float`:
+        A list of the values chosen.
+
+    Raises:
+        :exc:`AssertionError`: When the number of ``thresholds`` (t) and the
+            number of choices (c) are not either t == c or t == c - 1.
 
     Examples:
         >>> input = numpy.array([4, 5, 6, 7, 8])
@@ -24,7 +40,15 @@ def apply_thresholds(input, thresholds, choices):
 
 
 def concat(this, that):
-    """
+    """Concatenates the values of two arrays.
+
+    Args:
+        this: An array to concatenate.
+        that: Another array to concatenate.
+
+    Returns:
+        :obj:`numpy.ndarray` of :obj:`float`:
+        An array with the concatenated values.
 
     Examples:
         >>> this = ["this", "that"]
@@ -43,17 +67,29 @@ def concat(this, that):
 
 
 def switch(conditions, value_by_condition):
-    '''
-    Reproduces a switch statement: given an array of conditions, return an array of the same size replacing each
-    condition item by the corresponding given value.
+    """Mimicks a switch statement.
+
+    Given an array of conditions, returns an array of the same size,
+    replacing each condition item with the matching given value.
+
+    Args:
+        conditions: An array of conditions.
+        value_by_condition: Values to replace for each condition.
+
+    Returns:
+        :obj:`numpy.ndarray` of :obj:`float`:
+        An array with the replaced values.
+
+    Raises:
+        :exc:`AssertionError`: When ``value_by_condition`` is empty.
 
     Examples:
         >>> conditions = numpy.array([1, 1, 1, 2])
         >>> value_by_condition = {1: 80, 2: 90}
         >>> switch(conditions, value_by_condition)
         array([80, 80, 80, 90])
 
-    '''
+    """
 
     assert len(value_by_condition) > 0, \
         "switch must be called with at least one value"

openfisca_core/commons/misc.py

@@ -2,7 +2,13 @@
 
 
 def empty_clone(original):
-    """Create a new empty instance of the same class of the original object.
+    """Creates an empty instance of the same class of the original object.
+
+    Args:
+        original: An object to clone.
+
+    Returns:
+        The cloned, empty, object.
 
     Examples:
         >>> Foo = type("Foo", (list,), {})
@@ -20,17 +26,25 @@ def empty_clone(original):
     """
 
     class Dummy(original.__class__):
+        """Dummy class for empty cloning."""
+
         def __init__(self) -> None:
-            pass
+            ...
 
     new = Dummy()
     new.__class__ = original.__class__
     return new
 
 
 def stringify_array(array: numpy.ndarray) -> str:
-    """
-    Generate a clean string representation of a NumPY array.
+    """Generates a clean string representation of a numpy array.
+
+    Args:
+        array: An array.
+
+    Returns:
+        :obj:`str`:
+        "None" if the ``array`` is None, the stringified ``array`` otherwise.
 
     Examples:
         >>> import numpy

openfisca_core/commons/rates.py

@@ -2,12 +2,27 @@
 
 
 def average_rate(target = None, varying = None, trim = None):
-    '''
-    Computes the average rate of a targeted net income, according to the varying gross income.
+    """Computes the average rate of a target net income.
 
-    :param target: Targeted net income, numerator
-    :param varying: Varying gross income, denominator
-    :param trim: Lower and upper bound of average rate to return
+    Given a ``target`` net income, and according to the ``varying`` gross
+    income. Optionally, a ``trim`` can be applied consisting of the lower and
+    upper bounds of the average rate to be computed.
+
+    Note:
+        Usually, ``target`` and ``varying`` are the same size.
+
+    Args:
+        target: The targeted net income.
+        varying: The varying gross income.
+        trim: The lower and upper bounds of the average rate.
+
+    Returns:
+        :obj:`numpy.ndarray` of :obj:`float`:
+
+        The average rate for each target.
+
+        When ``trim`` is provided, values that are out of the provided bounds
+        are replaced by :obj:`numpy.nan`.
 
     Examples:
         >>> target = numpy.array([1, 2, 3])
@@ -16,7 +31,7 @@ def average_rate(target = None, varying = None, trim = None):
         >>> average_rate(target, varying, trim)
         array([ nan,  0. , -0.5])
 
-    '''
+    """
 
     average_rate = 1 - target / varying
     if trim is not None:
@@ -27,7 +42,27 @@ def average_rate(target = None, varying = None, trim = None):
 
 
 def marginal_rate(target = None, varying = None, trim = None):
-    """
+    """Computes the marginal rate of a target net income.
+
+    Given a ``target`` net income, and according to the ``varying`` gross
+    income. Optionally, a ``trim`` can be applied consisting of the lower and
+    upper bounds of the marginal rate to be computed.
+
+    Note:
+        Usually, ``target`` and ``varying`` are the same size.
+
+    Args:
+        target: The targeted net income.
+        varying: The varying gross income.
+        trim: The lower and upper bounds of the marginal rate.
+
+    Returns:
+        :obj:`numpy.ndarray` of :obj:`float`:
+
+        The marginal rate for each target.
+
+        When ``trim`` is provided, values that are out of the provided bounds
+        are replaced by :obj:`numpy.nan`.
 
     Examples:
         >>> target = numpy.array([1, 2, 3])
@@ -38,7 +73,6 @@ def marginal_rate(target = None, varying = None, trim = None):
 
     """
 
-    # target: numerator, varying: denominator
     marginal_rate = 1 - (target[:-1] - target[1:]) / (varying[:-1] - varying[1:])
     if trim is not None:
         marginal_rate = numpy.where(marginal_rate <= max(trim), marginal_rate, numpy.nan)

openfisca_tasks/lint.mk

@@ -26,12 +26,7 @@ lint-doc-%:
 	@##
 	@## They can be integrated into setup.cfg once all checks pass.
 	@## The reason they're here is because otherwise we wouldn't be
-	@## able to integrate documentation improvements incrementally.
-	@##
-	@## D101:	Each class has to have at least one doctest.
-	@## D102:	Each public method has to have at least one doctest.
-	@## D103:	Each public function has to have at least one doctest.
-	@## DARXXX:	https://github.com/terrencepreilly/darglint#error-codes.
+	@## able to integrate documentation improvements progresively.
 	@##
 	@$(call print_help,$(subst $*,%,$@:))
 	@flake8 --select=D101,D102,D103,DAR openfisca_core/$*

openfisca_tasks/publish.mk

@@ -5,3 +5,4 @@ build:
 	@$(call print_help,$@:)
 	@python setup.py bdist_wheel
 	@find dist -name "*.whl" -exec pip install --force-reinstall {}[dev] \;
+	@$(call print_pass,$@:)

setup.cfg

@@ -1,28 +1,26 @@
-; DXXX:             We do not (yet) check docstrings (see https://www.pydocstyle.org/en/2.1.1/error_codes.html#grouping).
-; DAR101:           We do not (yet) document class/function attributes/arguments.
-; DAR201:           We do not (yet) document method/function returns.
+; C011X:            We (progressively) document the code base.
+; D10X:             We (progressively) check docstrings (see https://www.pydocstyle.org/en/2.1.1/error_codes.html#grouping).
+; DARXXX:           We (progressively) check docstrings (see https://github.com/terrencepreilly/darglint#error-codes).
 ; E128/133:         We prefer hang-closing visual indents.
 ; E251:             We prefer `function(x = 1)` over `function(x=1)`.
 ; E501:             We do not enforce a maximum line length.
 ; F403/405:         We ignore * imports.
+; R0401:            We avoid cyclic imports —required for unit/doc tests.
 ; W503/504:         We break lines before binary operators (Knuth's style).
 
 [flake8]
+extend-ignore       = D
 hang-closing        = true
-extend-ignore       = D,DAR101,DAR201
 ignore              = E128,E251,F403,F405,E501,W503,W504
 in-place            = true
 include-in-doctest  = openfisca_core/commons openfisca_core/types
 rst-directives      = attribute, deprecated, seealso, versionadded, versionchanged
 rst-roles           = any, attr, class, exc, func, meth, obj
 strictness          = short
 
-; C0116:            We document public functions.
-; R0401:            We avoid cyclic imports —required for unit/doc tests.
-
 [pylint.message_control]
 disable             = all
-enable              = C0116,R0401
+enable              = C0115,C0116,R0401
 score               = no
 
 [tool:pytest]

setup.py

@@ -39,7 +39,7 @@
 
 setup(
     name = 'OpenFisca-Core',
-    version = '35.5.4',
+    version = '35.5.5',
     author = 'OpenFisca Team',
     author_email = '[email protected]',
     classifiers = [