upstream/ipython Files · IPython/quarantine/ipy_system_conf.py

Merge pull request from minrk/datapub...

Merge pull request from minrk/datapub add data publication message Functions just like displaypub, but sends a namespace of actual data instead of representations. This uses the serialization/zero-copy machinery of the parallel code. The current interpretation of a sequence of data publications within a cell is updates of a single namespace. That is, a series of calls to publish_data(dict(A=...)) during a given cell will result in a single dict with the latest value of A, updated in-place. An alternate interpretation could be to keep appending to a list, but I expect the current update approach to be preferable. Changes along the way: AsyncResults no longer protect metadata access while results are pending. This was an artificial limitation, and impedes informed access of incomplete metadata, which actually works just fine.

Bernardo B. Marques - - Load All Authors

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      """ System wide configuration file for IPython.

      This will be imported by ipython for all users.

      After this ipy_user_conf.py is imported, user specific configuration

      should reside there.

       """

      from IPython.core import ipapi

      ip = ipapi.get()

      # add system wide configuration information, import extensions etc. here.

      # nothing here is essential

      import sys

      import ext_rescapture # var = !ls and var = %magic

      import pspersistence # %store magic

      import clearcmd # %clear

      import ipy_stock_completers

      ip.load('IPython.core.history')

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				""" System wide configuration file for IPython.

				This will be imported by ipython for all users.

				After this ipy_user_conf.py is imported, user specific configuration
				should reside there.

				"""

				from IPython.core import ipapi
				ip = ipapi.get()

				# add system wide configuration information, import extensions etc. here.
				# nothing here is essential

				import sys

				import ext_rescapture # var = !ls and var = %magic
				import pspersistence # %store magic
				import clearcmd # %clear

				import ipy_stock_completers

				ip.load('IPython.core.history')