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Code Editor : custom_doctests.py
""" 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. """ 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) TAB = ' ' * 4 directive = sphinx_shell.directive if directive is None: source = 'Unavailable' content = 'Unavailable' else: source = directive.state.document.current_source # Add tabs and make into a single string. content = '\n'.join([TAB + line for line in directive.content]) if error: e = ('doctest float comparison failure\n\n' 'Document source: {0}\n\n' 'Raw content: \n{1}\n\n' 'On input line(s):\n{TAB}{2}\n\n' 'we found output:\n{TAB}{3}\n\n' 'instead of the expected:\n{TAB}{4}\n\n') e = e.format(source, content, '\n'.join(input_lines), repr(found), repr(submitted), TAB=TAB) raise RuntimeError(e) # dict of allowable doctest handlers. The key represents the first argument # that must be given to @doctest in order to activate the handler. doctests = { 'float': float_doctest, }
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