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	Fix 'count-of' searches (e.g., tags:#>3). Add a small blurb to the manual.
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				| @ -406,11 +406,9 @@ class ResultCache(SearchQueryParser): # {{{ | ||||
|         if val_func is None: | ||||
|             loc = self.field_metadata[location]['rec_index'] | ||||
|             val_func = lambda item, loc=loc: item[loc] | ||||
|         dt = self.field_metadata[location]['datatype'] | ||||
| 
 | ||||
|         q = '' | ||||
|         val_func = lambda item, loc=loc: item[loc] | ||||
|         cast = adjust = lambda x: x | ||||
|         dt = self.field_metadata[location]['datatype'] | ||||
| 
 | ||||
|         if query == 'false': | ||||
|             if dt == 'rating' or location == 'cover': | ||||
|  | ||||
| @ -365,6 +365,8 @@ Dates and numeric fields support the relational operators ``=`` (equals), ``>`` | ||||
| Rating fields are considered to be numeric. For example, the search ``rating:>=3`` will find all books rated 3 | ||||
| or higher. | ||||
| 
 | ||||
| You can search for the number of items in multiple-valued fields such as tags). These searches begin with the character ``#``, then use the same syntax as numeric fields. For example, to find all books with more than 4 tags, use ``tags:#>4``. To find all books with exactly 10 tags, use ``tags:#=10``. | ||||
| 
 | ||||
| Series indices are searchable. For the standard series, the search name is 'series_index'. For | ||||
| custom series columns, use the column search name followed by _index. For example, to search the indices for a | ||||
| custom series column named ``#my_series``, you would use the search name ``#my_series_index``. | ||||
|  | ||||
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