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This category contains templates used in table rows of sortable tables, often to provide a hidden sort key (marked with the data-sort-value attribute), and/or to force a particular sort mode. The pages listed in this category are templates .
Module:Sort table This template extends the functionality of {{ sort list }} to tables, so that tables in articles can be set with a default sorting, and have their rows manually shuffled around every time their data is updated.
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Then, all of the buckets are concatenated together to form the output list. [12] Counting sort uses a table of counters in place of a table of buckets, to determine the number of items with each key. Then, a prefix sum computation is used to determine the range of positions in the sorted output at which the values with each key should be placed.
In computer programming, the Schwartzian transform is a technique used to improve the efficiency of sorting a list of items. This idiom [1] is appropriate for comparison-based sorting when the ordering is actually based on the ordering of a certain property (the key) of the elements, where computing that property is an intensive operation that should be performed a minimal number of times.
Timsort is a hybrid, stable sorting algorithm, derived from merge sort and insertion sort, designed to perform well on many kinds of real-world data. It was implemented by Tim Peters in 2002 for use in the Python programming language. The algorithm finds subsequences of the data that are already ordered (runs) and uses them to sort the ...
Note: that data-sort-type=VALUE must go in the header cell with the sorting icon. That will be the lowest header cell. That will be the lowest header cell. (See Help:Sortable tables § Forcing a column to have a particular data type ).
The data-sort-type="..." attribute can be added inside the header of a column to ... The table below uses the same isoDate values for data-sort-value as the above table.