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from os.path import abspath, dirname, join
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from IPython.terminal.shortcuts import create_ipython_shortcuts
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def name(c):
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s = c.__class__.__name__
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if s == '_Invert':
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return '(Not: %s)' % name(c.filter)
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if s in log_filters.keys():
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return '(%s: %s)' % (log_filters[s], ', '.join(name(x) for x in c.filters))
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return log_filters[s] if s in log_filters.keys() else s
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def sentencize(s):
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"""Extract first sentence
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"""
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s = s.replace('\n', ' ').strip().split('.')
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s = s[0] if len(s) else s
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try:
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return " ".join(s.split())
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except AttributeError:
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return s
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def most_common(lst, n=3):
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"""Most common elements occurring more then `n` times
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"""
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from collections import Counter
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c = Counter(lst)
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return [k for (k, v) in c.items() if k and v > n]
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def multi_filter_str(flt):
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"""Yield readable conditional filter
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"""
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assert hasattr(flt, 'filters'), 'Conditional filter required'
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yield name(flt)
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log_filters = {'_AndList': 'And', '_OrList': 'Or'}
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log_invert = {'_Invert'}
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class _DummyTerminal(object):
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"""Used as a buffer to get prompt_toolkit bindings
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"""
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handle_return = None
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input_transformer_manager = None
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display_completions = None
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ipy_bindings = create_ipython_shortcuts(_DummyTerminal()).bindings
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dummy_docs = [] # ignore bindings without proper documentation
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common_docs = most_common([kb.handler.__doc__ for kb in ipy_bindings])
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if common_docs:
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dummy_docs.extend(common_docs)
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dummy_docs = list(set(dummy_docs))
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single_filter = {}
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multi_filter = {}
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for kb in ipy_bindings:
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doc = kb.handler.__doc__
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if not doc or doc in dummy_docs:
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continue
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shortcut = ' '.join([k if isinstance(k, str) else k.name for k in kb.keys])
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shortcut += shortcut.endswith('\\') and '\\' or ''
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if hasattr(kb.filter, 'filters'):
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flt = ' '.join(multi_filter_str(kb.filter))
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multi_filter[(shortcut, flt)] = sentencize(doc)
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else:
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single_filter[(shortcut, name(kb.filter))] = sentencize(doc)
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if __name__ == '__main__':
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sort_key = lambda k:(str(k[0][1]),str(k[0][0]))
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here = abspath(dirname(__file__))
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dest = join(here, 'source', 'config', 'shortcuts')
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with open(join(dest, 'single_filtered.csv'), 'w') as csv:
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for k, v in sorted(single_filter.items(), key=sort_key):
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csv.write(':kbd:`{}`\t{}\t{}\n'.format(k[0], k[1], v))
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with open(join(dest, 'multi_filtered.csv'), 'w') as csv:
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for k, v in sorted(multi_filter.items(), key=sort_key):
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csv.write(':kbd:`{}`\t{}\t{}\n'.format(k[0], k[1], v))
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