human
Solve the following python programming problem given the following code:
def find_matches(self, text, collection, mode = 'fuzzy', meta = None, meta_collection = None) : 
    "Find completion matches for the given text.

        Given the user's input text and a collection of available
        completions, find completions matching the last word of the
        text.

        `mode` can be either 'fuzzy', or 'strict'
            'fuzzy': fuzzy matching, ties broken by name prevalance
            `keyword`: start only matching, ties broken by keyword prevalance

        yields prompt_toolkit Completion instances for any matches found
        in the collection of available completions.

        " 
    text = last_word (text, include = 'most_punctuations').lower () 
    text_len = len (text) 
    if (text and (text [0] == '"')) : 
        text = text [1 :] 
if (mode == 'fuzzy') : 
        fuzzy = True 
        priority_func = self.prioritizer.name_count 
else : 
        fuzzy = False 
        priority_func = self.prioritizer.keyword_count 
if fuzzy : 
        regex = '.*?'.join (map (re.escape, text)) 
        pat = re.compile (('(%s)' % regex)) 
        def _match(item) : 
            r = pat.search (self.unescape_name (item.lower ())) 
            if r : 
                return ((- len (r.group ())), (- r.start ())) 
else : 
        match_end_limit = len (text) 
        def _match(item) : 
            match_point = item.lower ().find (text, 0, match_end_limit) 
            if (match_point >= 0) : 
                return ((- float ('Infinity')), (- match_point)) 
if meta_collection : 
        collection = zip (collection, meta_collection) 
else : 
        collection = zip (collection, itertools.repeat (meta)) 
matches = [] 
    for (item, meta) in collection : 
        sort_key = _match (item) 
        if sort_key : 
            if (meta and (len (meta) > 50)) : 
                meta = (meta [: 47] + '...') 
lexical_priority = (tuple (((- ord (c)) for c in self.unescape_name (item))) + (1,)) 
            priority = (sort_key, priority_func (_match), lexical_priority) 
           ...

    
    

    Fix the buggy line: priority = (sort_key, priority_func (_match), lexical_priority)
assistant
#Here is Python code to find completion matches for the given text.

priority = (sort_key, priority_func (item), lexical_priority)