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@ -26,8 +26,6 @@ logger = logging.getLogger(__name__)
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GLOB_REGEX = re.compile(r'\\\[(\\\!|)(.*)\\\]')
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GLOB_REGEX = re.compile(r'\\\[(\\\!|)(.*)\\\]')
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IS_GLOB = re.compile(r'[\?\*\[\]]')
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IS_GLOB = re.compile(r'[\?\*\[\]]')
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INEQUALITY_EXPR = re.compile("^([=<>]*)([0-9]*)$")
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INEQUALITY_EXPR = re.compile("^([=<>]*)([0-9]*)$")
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STARTS_WITH_WORD_CHAR_REGEX = re.compile(r"^\w")
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ENDS_WITH_WORD_CHAR_REGEX = re.compile(r"\w$")
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def _room_member_count(ev, condition, room_member_count):
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def _room_member_count(ev, condition, room_member_count):
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@ -209,15 +207,9 @@ def _re_word_boundary(r):
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but do so respecting the fact that strings starting or ending
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but do so respecting the fact that strings starting or ending
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with non-word characters will change word boundaries.
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with non-word characters will change word boundaries.
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"""
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"""
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# Matching a regex string aginst a regex, since by definition
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# we can't use \b as it chokes on unicode. however \W seems to be okay
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# \b is the boundary between a \w and a \W, so match \w at the
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# as shorthand for [^0-9A-Za-z_].
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# start or end of the expression (although this will miss, eg.
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return r"(^|\W)%s(\W|$)" % (r,)
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# "[dl]og")
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if STARTS_WITH_WORD_CHAR_REGEX.search(r):
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r = r"\b%s" % (r,)
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if ENDS_WITH_WORD_CHAR_REGEX.search(r):
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r = r"%s\b" % (r,)
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return r
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def _flatten_dict(d, prefix=[], result=None):
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def _flatten_dict(d, prefix=[], result=None):
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