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Merge pull request #1020 from takluyver/dollar-formatter...
Merge pull request #1020 from takluyver/dollar-formatter Dollar formatter for ! shell calls. This uses a subclass of `FullEvalFormatter` for filling in variables in shell commands like `!echo $spam`, instead of Itpl. I've retained the `{foo}` style standard formatting for complex expressions, so it can be picked up by the more powerful built in parser. `$foo` works for names and attribute access. FullEvalFormatter now always outputs unicode, even if you gave it a bytes string. This avoids problems when you mix 8-bit non-ascii strings and unicode (which e.g. `StringIO.StringIO` suffers from). Closes #822 (test was added in 31ab23f).
Fernando Perez -
r5358:09c9952f merge
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/ IPython / testing / plugin
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ipdoctest.py Loading ...
iptest.py Loading ...
setup.py Loading ...
show_refs.py Loading ...
simple.py Loading ...
simplevars.py Loading ...
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test_ipdoctest.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