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Changed the display order of rich output in the live notebook to match that of nbconvert. This makes more sense than the other way around due to the need for notebooks already shared on the web to remain consistant. Conversely local notebooks can simply be edited to match the new order.
Changed the display order of rich output in the live notebook to match that of nbconvert. This makes more sense than the other way around due to the need for notebooks already shared on the web to remain consistant. Conversely local notebooks can simply be edited to match the new order.
damontallen -
r19205:14207ccf
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/ IPython / testing / plugin
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__init__.py Loading ...
dtexample.py Loading ...
ipdoctest.py Loading ...
iptest.py Loading ...
setup.py Loading ...
show_refs.py Loading ...
simple.py Loading ...
simplevars.py Loading ...
test_combo.txt Loading ...
test_example.txt Loading ...
test_exampleip.txt Loading ...
test_ipdoctest.py Loading ...
test_refs.py Loading ...

=======================================================
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