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3 commits

Author SHA1 Message Date
wiz
d4d8806dc8 Update to 0.2.1:
2009-01-27  OZAWA Takuma

	* version 0.2.1 released.

	* README: fixed documents.

	* rbtree.c: ditto.

2009-01-23  OZAWA Takuma

	* rbtree.c (RETURN_ENUMERATOR): do nothing if rb_enumeratorize not
	defined.

	* rbtree.c (RBTREE_IN_ITERATION): removed. it has been not used.

	* rbtree.c (HAVE_RB_MARSHAL_LOAD, HAVE_RB_OBJ_INIT_COPY,
	HAVE_OBJECT_ALLOCATE, HAVE_RB_BLOCK_PROC, HAVE_RB_YIELD_VALUES):
	removed macros for Ruby 1.6.x.

	* extconf.rb (HAVE_RB_MARSHAL_LOAD, HAVE_RB_OBJ_INIT_COPY,
	HAVE_OBJECT_ALLOCATE, HAVE_RB_BLOCK_PROC, HAVE_RB_YIELD_VALUES):
	ditto.

	* rbtree.c (cmpint): removed a few codes for Ruby 1.6.x.

	* test.rb: ditto.

	* test.rb: (assert_raise): removed an alias for RubyUnit. use
	assert_raises.

	* extconf.rb: removed checking for inline keyword.

2009-01-21  OZAWA Takuma

	* extconf.rb: removed gcc options for portability. Thanks to
	Masatoshi SEKI.

2008-12-26  OZAWA Takuma

	* rbtree.c (rbtree_each, rbtree_each_pair, rbtree_each_key,
	rbtree_each_value, rbtree_reverse_each, rbtree_delete_if,
	rbtree_reject_bang, rbtree_select): Return an enumerator if no
	block is given.

2008-12-24  OZAWA Takuma

	* rbtree.c (rbtree_s_create): check and convert argument inner arrays (assocs) using #to_ary.

	* rbtree.c (rbtree_s_create): check and convert argument hash using #to_hash.

	* rbtree.c (rbtree_s_create): RBTree#[] now takes assocs as source of rbtree conversion.

	* rbtree.c (rbtree_to_hash): can't convert MultiRBTree to Hash.

	* rbtree.c (rbtree_s_create): can't convert MultiRBTree to RBTree.

	* rbtree.c (rbtree_s_create, rbtree_values_at): use long for loop counter instead of int.

2007-09-21  OZAWA Takuma

	* extconf.rb: no gcc options for mswin32.
2009-02-23 11:39:42 +00:00
jlam
49044b1ec2 Install as a gem using the pkgsrc rubygem.mk framework instead of
directly into site_ruby.
2008-04-04 15:30:00 +00:00
wiz
a741d59054 Initial import of ruby-rbtree-0.2.0:
RBTree is a sorted associative collection using Red-Black Tree as
the internal data structure. The elements of RBTree are ordered
and the interface is the almost same as Hash, so simply you can
consider RBTree sorted Hash.

Red-Black Tree is a kind of binary tree that automatically balances
by itself when a node is inserted or deleted. Thus the complexity
for insert, search and delete is O(log N) in expected and worst
case. On the other hand the complexity of Hash is O(1). Because
Hash is unordered the data structure is more effective than Red-Black
Tree as an associative collection.

The interface of RBTree is the almost same as Hash although there
are some limitations.
2007-04-21 10:20:05 +00:00