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Place customized doctests in a separate module.
Place customized doctests in a separate module.

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custom_doctests.py
92 lines | 2.4 KiB | text/x-python | PythonLexer
"""
Module containing custom doctests.
"""
def str_to_array(s):
"""
Simplistic converter of strings from repr to float NumPy arrays.
If the repr representation has ellipsis in it, then this will fail.
Parameters
----------
s : str
The repr version of a NumPy array.
Examples
--------
>>> s = "array([ 0.3, inf, nan])"
>>> a = str_to_array(s)
"""
import numpy as np
# Need to make sure eval() knows about inf and nan.
# This also assumes default printoptions for NumPy.
from numpy import inf, nan
if s.startswith(u'array'):
# Remove array( and )
s = s[6:-1]
if s.startswith(u'['):
a = np.array(eval(s), dtype=float)
else:
# Assume its a regular float. Force 1D so we can index into it.
a = np.atleast_1d(float(s))
return a
def float_doctest(sphinx_shell, args, input_lines, found, submitted):
"""
Doctest which allow the submitted output to vary slightly from the input.
Here is how it might appear in an rst file:
.. code-block:: rst
.. ipython::
@doctest float
In [1]: 0.1 + 0.2
Out[1]: 0.3
"""
import numpy as np
if len(args) == 2:
rtol = 1e-05
atol = 1e-08
else:
# Both must be specified if any are specified.
try:
rtol = float(args[2])
atol = float(args[3])
except IndexError:
e = ("Both `rtol` and `atol` must be specified "
"if either are specified: {0}".format(args))
raise IndexError(e)
try:
submitted = str_to_array(submitted)
found = str_to_array(found)
except:
# For example, if the array is huge and there are ellipsis in it.
error = True
else:
found_isnan = np.isnan(found)
submitted_isnan = np.isnan(submitted)
error = not np.allclose(found_isnan, submitted_isnan)
error |= not np.allclose(found[~found_isnan],
submitted[~submitted_isnan],
rtol=rtol, atol=atol)
if error:
e = ('doctest float comparison failure for input_lines={0} with '
'found_output={1} and submitted '
'output="{2}"'.format(input_lines, repr(found), repr(submitted)) )
raise RuntimeError(e)
doctests = {
'float': float_doctest,
}