Add user documentation
The new doc section explains why we raise a `NotImplementedError`.
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@ -1,6 +1,5 @@
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import math
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import sys
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import py
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from _pytest.compat import isclass, izip
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@ -32,6 +31,12 @@ class ApproxBase(object):
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__hash__ = None
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def __gt__(self, actual):
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raise NotImplementedError
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def __lt__(self, actual):
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raise NotImplementedError
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def __ne__(self, actual):
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return not (actual == self)
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@ -60,6 +65,12 @@ class ApproxNumpy(ApproxBase):
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return "approx({0!r})".format(list(
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self._approx_scalar(x) for x in self.expected))
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def __gt__(self, actual):
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raise NotImplementedError
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def __lt__(self, actual):
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raise NotImplementedError
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def __eq__(self, actual):
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import numpy as np
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@ -358,6 +369,22 @@ def approx(expected, rel=None, abs=None, nan_ok=False):
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is asymmetric and you can think of ``b`` as the reference value. In the
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special case that you explicitly specify an absolute tolerance but not a
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relative tolerance, only the absolute tolerance is considered.
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.. warning::
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In order to avoid inconsistent behavior, a ``NotImplementedError`` is
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raised for ``__lt__`` and ``__gt__`` comparisons. The example below
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illustrates the problem::
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assert approx(0.1) > 0.1 + 1e-10 # calls approx(0.1).__gt__(0.1 + 1e-10)
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assert 0.1 + 1e-10 > approx(0.1) # calls approx(0.1).__lt__(0.1 + 1e-10)
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In the second example one expects ``approx(0.1).__le__(0.1 + 1e-10)``
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to be called. But instead, ``approx(0.1).__lt__(0.1 + 1e-10)`` is used to
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comparison. This is because the call hierarchy of rich comparisons
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follows a fixed behavior. `More information...`__
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__ https://docs.python.org/3/reference/datamodel.html#object.__ge__
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"""
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from collections import Mapping, Sequence
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