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# -*- coding: utf-8 -*-
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""" IPython extension: add %clear magic """
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import IPython.ipapi
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import gc
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ip = IPython.ipapi.get()
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def clear_f(self,arg):
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""" Clear various data (e.g. stored history data)
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%clear in - clear input history
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%clear out - clear output history
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%clear shadow_compress - Compresses shadow history (to speed up ipython)
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%clear shadow_nuke - permanently erase all entries in shadow history
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%clear dhist - clear dir history
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%clear array - clear only variables that are NumPy arrays
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Examples:
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In [1]: clear in
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Flushing input history
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In [2]: clear shadow_compress
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Compressing shadow history
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In [3]: clear shadow_nuke
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Erased all keys from shadow history
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In [4]: clear dhist
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Clearing directory history
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"""
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api = self.getapi()
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user_ns = self.user_ns # local lookup, heavily used
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for target in arg.split():
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if target == 'out':
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print "Flushing output cache (%d entries)" % len(user_ns['_oh'])
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self.outputcache.flush()
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elif target == 'in':
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print "Flushing input history"
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pc = self.outputcache.prompt_count + 1
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for n in range(1, pc):
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key = '_i'+`n`
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user_ns.pop(key,None)
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try:
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del user_ns[key]
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except: pass
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# must be done in-place
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self.input_hist[:] = ['\n'] * pc
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self.input_hist_raw[:] = ['\n'] * pc
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elif target == 'array':
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# Support cleaning up numpy arrays
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try:
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from numpy import ndarray
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# This must be done with items and not iteritems because we're
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# going to modify the dict in-place.
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for x,val in user_ns.items():
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if isinstance(val,ndarray):
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del user_ns[x]
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except AttributeError:
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print "Clear array only works if Numpy is available."
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elif target == 'shadow_compress':
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print "Compressing shadow history"
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api.db.hcompress('shadowhist')
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elif target == 'shadow_nuke':
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print "Erased all keys from shadow history "
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for k in ip.db.keys('shadowhist/*'):
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del ip.db[k]
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elif target == 'dhist':
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print "Clearing directory history"
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del user_ns['_dh'][:]
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gc.collect()
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# Activate the extension
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ip.expose_magic("clear",clear_f)
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import ipy_completers
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ipy_completers.quick_completer(
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'%clear','in out shadow_nuke shadow_compress dhist')
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