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update parallel code for py3k...
update parallel code for py3k This is primarily tweaks of bytes/unicode, but other fixes include: * some integer division * added co_kwonlyargcount to code objects * a few places to handle map/range being objects non-copying numpy is disabled on py3k, because arrays are not reconstructed properly on the other side. This is because pyzmq always receives a byte array (memoryview.itemsize=1), which confuses numpy. With these changes, almost all parallel tests pass. Notable exceptions are: sync_imports, and MUX engine death.

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numeric_formats.py
43 lines | 1.2 KiB | text/x-python | PythonLexer
# -*- coding: utf-8 -*-
"""
Extension for printing Numeric Arrays in flexible ways.
"""
from Numeric import ArrayType
def num_display(self,arg):
"""Display method for printing which treats Numeric arrays specially.
"""
# Non-numpy variables are printed using the system default
if type(arg) != ArrayType:
self._display(arg)
return
# Otherwise, we do work.
format = __IPYTHON__.runtime_rc.numarray_print_format
print 'NumPy array, format:',format
# Here is where all the printing logic needs to be implemented
print arg # nothing yet :)
def magic_format(self,parameter_s=''):
"""Specifies format of numerical output.
This command is similar to Ocave's format command.
"""
valid_formats = ['long','short']
if parameter_s in valid_formats:
self.runtime_rc.numarray_print_format = parameter_s
print 'Numeric output format is now:',parameter_s
else:
print 'Invalid format:',parameter_s
print 'Valid formats:',valid_formats
# setup default format
__IPYTHON__.runtime_rc.numarray_print_format = 'long'
# Bind our new functions to the interpreter
__IPYTHON__.__class__.magic_format = magic_format
__IPYTHON__.hooks.display = num_display