upstream/ipython Files · IPython/deathrow/oldfrontend/process/__init__.py

Merge pull request from asmeurer/sympyprinting...

Merge pull request from asmeurer/sympyprinting Use LaTeX to display, on output, various built-in types with the SymPy printing extension. SymPy's latex() function supports printing lists, tuples, and dicts using latex notation (it uses bmatrix, pmatrix, and Bmatrix, respectively). This provides a more unified experience with SymPy functions that return these types (such as solve()). Also display ints, longs, and floats using LaTeX, to get a more unified printing experience (so that, e.g., x/x will print the same as just 1). The string form can always be obtained by manually calling the actual print function, or 2d unicode printing using pprint(). SymPy's latex() function doesn't treat set() or frosenset() correctly presently (see http://code.google.com/p/sympy/issues /detail?id=3062), so for the present, we leave those alone.

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      """

      Package for dealing for process execution in a callback environment, in a

      portable way.

      killable_process.py is a wrapper of subprocess.Popen that allows the

      subprocess and its children to be killed in a reliable way, including

      under windows.

      winprocess.py is required by killable_process.py to kill processes under

      windows.

      piped_process.py wraps process execution with callbacks to print output,

      in a non-blocking way. It can be used to interact with a subprocess in eg

      a GUI event loop.

      """

      from pipedprocess import PipedProcess

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				"""
				Package for dealing for process execution in a callback environment, in a
				portable way.

				killable_process.py is a wrapper of subprocess.Popen that allows the
				subprocess and its children to be killed in a reliable way, including
				under windows.

				winprocess.py is required by killable_process.py to kill processes under
				windows.

				piped_process.py wraps process execution with callbacks to print output,
				in a non-blocking way. It can be used to interact with a subprocess in eg
				a GUI event loop.
				"""

				from pipedprocess import PipedProcess