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Editing: custom_doctests.cpython-311.pyc
� �@�c � � � d Z d� Zd� ZdeiZdS )a Handlers for IPythonDirective's @doctest pseudo-decorator. The Sphinx extension that provides support for embedded IPython code provides a pseudo-decorator @doctest, which treats the input/output block as a doctest, raising a RuntimeError during doc generation if the actual output (after running the input) does not match the expected output. An example usage is: .. code-block:: rst .. ipython:: In [1]: x = 1 @doctest In [2]: x + 2 Out[3]: 3 One can also provide arguments to the decorator. The first argument should be the name of a custom handler. The specification of any other arguments is determined by the handler. For example, .. code-block:: rst .. ipython:: @doctest float In [154]: 0.1 + 0.2 Out[154]: 0.3 allows the actual output ``0.30000000000000004`` to match the expected output due to a comparison with `np.allclose`. This module contains handlers for the @doctest pseudo-decorator. Handlers should have the following function signature:: handler(sphinx_shell, args, input_lines, found, submitted) where `sphinx_shell` is the embedded Sphinx shell, `args` contains the list of arguments that follow: '@doctest handler_name', `input_lines` contains a list of the lines relevant to the current doctest, `found` is a string containing the output from the IPython shell, and `submitted` is a string containing the expected output from the IPython shell. Handlers must be registered in the `doctests` dict at the end of this module. c � � ddl }ddl m}m} | � d� � r | dd� } | � d� � r*|� t | � � t �� � }n"|� t | � � � � }|S ) aI 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) � N)�inf�nan�array� ����[)�dtype)�numpyr r � startswithr �eval�float� atleast_1d)�s�npr r �as �C/usr/lib/python3/dist-packages/IPython/sphinxext/custom_doctests.py�str_to_arrayr 3 s� � �"