Creation Performance¶
The tests measure the performance of sets and dicts with integer keys. The following implementation are compared:
- banyan_red_black_tree - banyan.SortedSet or banyan.SortedDict with key_type = int or key_type = str and alg = banyan.RED_BLACK_TREE
- banyan_splay_tree - banyan.SortedSet or banyan.SortedDict with key_type = int or key_type = str and alg = banyan.SPLAY_TREE
- banyan_sorted_list - banyan.SortedSet or banyan.SortedDict with key_type = int or key_type = str and alg = banyan.SORTEDLISt
- banyan_red_black_tree_gen - banyan.SortedSet or banyan.SortedDict without key-type specification and alg = banyan.RED_BLACK_TREE
- banyan_splay_tree_gen - banyan.SortedSet or banyan.SortedDict without key-type specification and alg = banyan.SPLAY_TREE
- banyan_sorted_list_gen - banyan.SortedSet or banyan.SortedDict without key-type specification alg = banyan.SORTEDLISt
- bintrees - A bintrees.FastRBTree (V 1.0.1) red-black tree.
- blist - A blist.sortedset (V 1.3.4) BTree
- btrees - A BTrees.OOBTree (V 4.0.5) BTree
- bx - A bx (V 0.7.1) tree
- dict - Python’s (hash-based) dict
- set - Python’s (hash-based) set
Integer Sets¶
The following figures show the running time of creating a set of integers as a function of the number of integers (see _set_create.py for the source).
The following figure shows the performance of all the implementations:
The following figure shows the performance of all implementations with similar performance:
A sorted list has low overhead here, due to the fact that it performs a single allocation and hardly any further manipulation.
String Sets¶
The following figures show the running time of creating a set of strings as a function of the number of strings (see _set_create.py for the source).
The following figure shows the performance of all the implementations:
The following figure shows the performance of all implementations with similar performance:
