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nbconvert requires mistune...
nbconvert requires mistune You get a cryptic error message from iptest if mistune is not installed. Test group: nbconvert E ====================================================================== ERROR: Failure: AttributeError ('module' object has no attribute 'nbconvert') ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/nose/loader.py", line 403, in loadTestsFromName module = resolve_name(addr.module) File "/usr/lib/python2.7/dist-packages/nose/util.py", line 321, in resolve_name obj = getattr(obj, part) AttributeError: 'module' object has no attribute 'nbconvert' ---------------------------------------------------------------------- Ran 1 test in 0.001s FAILED (errors=1
Paul Ivanov -
r17585:fcfb06b0
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ipdoctest.py Loading ...
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setup.py Loading ...
show_refs.py Loading ...
simple.py Loading ...
simplevars.py Loading ...
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=======================================================
Nose plugin with IPython and extension module support
=======================================================

This directory provides the key functionality for test support that IPython
needs as a nose plugin, which can be installed for use in projects other than
IPython.

The presence of a Makefile here is mostly for development and debugging
purposes as it only provides a few shorthand commands. You can manually
install the plugin by using standard Python procedures (``setup.py install``
with appropriate arguments).

To install the plugin using the Makefile, edit its first line to reflect where
you'd like the installation. If you want it system-wide, you may want to edit
the install line in the plugin target to use sudo and no prefix::

sudo python setup.py install

instead of the code using `--prefix` that's in there.

Once you've set the prefix, simply build/install the plugin with::

make

and run the tests with::

make test

You should see output similar to::

maqroll[plugin]> make test
nosetests -s --with-ipdoctest --doctest-tests dtexample.py
..
----------------------------------------------------------------------
Ran 2 tests in 0.016s

OK