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def clipcopy(z):
    #http://stackoverflow.com/questions/579687
    z = unicode(z)
    try:
        import win32clipboard
    except ImportError:
        from Tkinter import Tk
        r = Tk()
        r.withdraw()
        r.clipboard_clear()

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#This class lets you add the 'other side' of a m2m to a django model.
#Why this is better than just using related_name:
#    -Admin sees it as a real field, gives you the filter_horizontal widget if you ask
#
#Issues:
#    -Probably breaks syncdb (table tries to be created twice)
#
#Non-issues:
#    -Doesn't break south (custom introspection rule makes this field ignored)

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"""
Example:

import django.db
from cStringIO import StringIO

def inspect_mdb(filename):
    db_dict = {'ENGINE': 'access.pyodbc', 'OPTIONS': {'driver': 'access'}, 'NAME': filename}
    with temp_db(db_dict, 'test') as using:
        django.db.connections[using].cursor() #Connect immediately

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import pythoncom
import win32com.client

from uuid import UUID
from ctypes import OleDLL, WinDLL, c_long, c_ulong, byref, WINFUNCTYPE, POINTER, c_char_p, pointer
from ctypes.wintypes import HRESULT

IID_IClassFactory2 = "{B196B28F-BAB4-101A-B69C-00AA00341D07}"

def CoCreateInstanceLicenced(clsid_class, iid_interface=pythoncom.IID_IDispatch, key='', dwClsContext=pythoncom.CLSCTX_SERVER, pythoncom_iid_interface=pythoncom.IID_IDispatch, pythoncom_wrapdisp=True):

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__all__ = (
    ####### Class Objects

    #CoGetClassObject - Normal, not wrapped
    'CoDllGetClassObject', #Get ClassObject from a DLL file

    ####### ClassFactory::CreateInstance Wrappers

    'CoCreateInstanceFromFactory', #Create an object via IClassFactory::CreateInstance
    'CoCreateInstanceFromFactoryLicenced', #Create a licenced object via IClassFactory2::CreateInstanceLic

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import os
import sys
import glob
import ctypes
import logging
log = logging.getLogger(__name__)

from collections import namedtuple

def path_iter(path, root=None, dirsortkey=None):

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import csv

class StreamedDataConverter(object):
    """A conversion description that can convert one list of data into a processed dict using the cols attribute.
   
    >>> class MyConverter(StreamedDataConverter):
    ...     cols = ['a', 'b', 'c']
    ... 
    >>> c = MyConverter(iter([[4,5,6],[6,7,8]]))
    >>> c.map_fieldnames(['a','b','c'])

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#This file is a testcase of http://bugs.python.org/issue706263 with a workaround.
#Z:\>python 4096_tc.py
#Z:\>cat result.txt
#stdin: 0 stdout: 1 stderr: 2
#Bytes printed: 199998
#Z:\>pythonw 4096_tc.py
#Z:\>cat result.txt
#stdin: -2 stdout: -2 stderr: -2
#Bytes printed before exception was raised: 4096
#Traceback (most recent call last):

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import os
import sys

import ctypes

ES_AWAYMODE_REQUIRED = 0x00000040
ES_CONTINUOUS = 0x80000000 
ES_DISPLAY_REQUIRED = 0x2 #Forces the display to be on by resetting the display idle timer.
ES_SYSTEM_REQUIRED = 0x1 #Forces the system to be in the working state by resetting the system idle timer.

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import sys; import os; _p = os.path.join(sys.real_prefix, 'lib', 'site-packages'); sys.path.append(_p); import sip; import PyQt4; sys.path.remove(_p)