{
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        "author": "mozman",
        "author_email": "mozman@gmx.at",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 6 - Mature",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Cython",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: Implementation :: CPython",
            "Programming Language :: Python :: Implementation :: PyPy",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "Binary Tree Package\n===================\n\nBintrees Development Stopped\n----------------------------\n\nUse `sortedcontainers` instead: https://pypi.python.org/pypi/sortedcontainers\n\nsee also PyCon 2016 presentation: https://www.youtube.com/watch?v=7z2Ki44Vs4E\n\nAdvantages:\n\n    - pure Python no Cython/C dependencies\n    - faster\n    - active development\n    - more & better testing/profiling\n\nAbstract\n========\n\nThis package provides Binary- RedBlack- and AVL-Trees written in Python and Cython/C.\n\nThis Classes are much slower than the built-in *dict* class, but all\niterators/generators yielding data in sorted key order. Trees can be\nuses as drop in replacement for *dicts* in most cases.\n\nSource of Algorithms\n--------------------\n\nAVL- and RBTree algorithms taken from Julienne Walker: http://eternallyconfuzzled.com/jsw_home.aspx\n\nTrees written in Python\n-----------------------\n\n    - *BinaryTree* -- unbalanced binary tree\n    - *AVLTree* -- balanced AVL-Tree\n    - *RBTree* -- balanced Red-Black-Tree\n\nTrees written with C-Functions and Cython as wrapper\n----------------------------------------------------\n\n    - *FastBinaryTree* -- unbalanced binary tree\n    - *FastAVLTree* -- balanced AVL-Tree\n    - *FastRBTree* -- balanced Red-Black-Tree\n\nAll trees provides the same API, the pickle protocol is supported.\n\nCython-Trees have C-structs as tree-nodes and C-functions for low level operations:\n\n    - insert\n    - remove\n    - get_value\n    - min_item\n    - max_item\n    - prev_item\n    - succ_item\n    - floor_item\n    - ceiling_item\n\nConstructor\n~~~~~~~~~~~\n\n    * Tree() -> new empty tree;\n    * Tree(mapping) -> new tree initialized from a mapping (requires only an items() method)\n    * Tree(seq) -> new tree initialized from seq [(k1, v1), (k2, v2), ... (kn, vn)]\n\nMethods\n~~~~~~~\n\n    * __contains__(k) -> True if T has a key k, else False, O(log(n))\n    * __delitem__(y) <==> del T[y], del[s:e], O(log(n))\n    * __getitem__(y) <==> T[y], T[s:e], O(log(n))\n    * __iter__() <==> iter(T)\n    * __len__() <==> len(T), O(1)\n    * __max__() <==> max(T), get max item (k,v) of T, O(log(n))\n    * __min__() <==> min(T), get min item (k,v) of T, O(log(n))\n    * __and__(other) <==> T & other, intersection\n    * __or__(other) <==> T | other, union\n    * __sub__(other) <==> T - other, difference\n    * __xor__(other) <==> T ^ other, symmetric_difference\n    * __repr__() <==> repr(T)\n    * __setitem__(k, v) <==> T[k] = v, O(log(n))\n    * __copy__() -> shallow copy support, copy.copy(T)\n    * __deepcopy__() -> deep copy support, copy.deepcopy(T)\n    * clear() -> None, remove all items from T, O(n)\n    * copy() -> a shallow copy of T, O(n*log(n))\n    * discard(k) -> None, remove k from T, if k is present, O(log(n))\n    * get(k[,d]) -> T[k] if k in T, else d, O(log(n))\n    * is_empty() -> True if len(T) == 0, O(1)\n    * items([reverse]) -> generator for (k, v) items of T, O(n)\n    * keys([reverse]) -> generator for keys of T, O(n)\n    * values([reverse]) -> generator for values of  T, O(n)\n    * pop(k[,d]) -> v, remove specified key and return the corresponding value, O(log(n))\n    * pop_item() -> (k, v), remove and return some (key, value) pair as a 2-tuple, O(log(n)) (synonym popitem() exist)\n    * set_default(k[,d]) -> value, T.get(k, d), also set T[k]=d if k not in T, O(log(n)) (synonym setdefault() exist)\n    * update(E) -> None.  Update T from dict/iterable E, O(E*log(n))\n    * foreach(f, [order]) -> visit all nodes of tree (0 = 'inorder', -1 = 'preorder' or +1 = 'postorder') and call f(k, v) for each node, O(n)\n    * iter_items(s, e[, reverse]) -> generator for (k, v) items of T for s <= key < e, O(n)\n    * remove_items(keys) -> None, remove items by keys, O(n)\n\nslicing by keys\n~~~~~~~~~~~~~~~\n\n    * item_slice(s, e[, reverse]) -> generator for (k, v) items of T for s <= key < e, O(n), synonym for iter_items(...)\n    * key_slice(s, e[, reverse]) -> generator for keys of T for s <= key < e, O(n)\n    * value_slice(s, e[, reverse]) -> generator for values of T for s <= key < e, O(n)\n    * T[s:e] -> TreeSlice object, with keys in range s <= key < e, O(n)\n    * del T[s:e] -> remove items by key slicing, for s <= key < e, O(n)\n\n    start/end parameter:\n\n    * if 's' is None or T[:e] TreeSlice/iterator starts with value of min_key();\n    * if 'e' is None or T[s:] TreeSlice/iterator ends with value of max_key();\n    * T[:] is a TreeSlice which represents the whole tree;\n\n    The step argument of the regular slicing syntax T[s:e:step] will silently ignored.\n\n    TreeSlice is a tree wrapper with range check and contains no references\n    to objects, deleting objects in the associated tree also deletes the object\n    in the TreeSlice.\n\n    * TreeSlice[k] -> get value for key k, raises KeyError if k not exists in range s:e\n    * TreeSlice[s1:e1] -> TreeSlice object, with keys in range s1 <= key < e1\n        - new lower bound is max(s, s1)\n        - new upper bound is min(e, e1)\n\n    TreeSlice methods:\n\n    * items() -> generator for (k, v) items of T, O(n)\n    * keys() -> generator for keys of T, O(n)\n    * values() -> generator for values of  T, O(n)\n    * __iter__ <==> keys()\n    * __repr__ <==> repr(T)\n    * __contains__(key)-> True if TreeSlice has a key k, else False, O(log(n))\n\nprev/succ operations\n~~~~~~~~~~~~~~~~~~~~\n\n    * prev_item(key) -> get (k, v) pair, where k is predecessor to key, O(log(n))\n    * prev_key(key) -> k, get the predecessor of key, O(log(n))\n    * succ_item(key) -> get (k,v) pair as a 2-tuple, where k is successor to key, O(log(n))\n    * succ_key(key) -> k, get the successor of key, O(log(n))\n    * floor_item(key) -> get (k, v) pair, where k is the greatest key less than or equal to key, O(log(n))\n    * floor_key(key) -> k, get the greatest key less than or equal to key, O(log(n))\n    * ceiling_item(key) -> get (k, v) pair, where k is the smallest key greater than or equal to key, O(log(n))\n    * ceiling_key(key) -> k, get the smallest key greater than or equal to key, O(log(n))\n\nHeap methods\n~~~~~~~~~~~~\n\n    * max_item() -> get largest (key, value) pair of T, O(log(n))\n    * max_key() -> get largest key of T, O(log(n))\n    * min_item() -> get smallest (key, value) pair of T, O(log(n))\n    * min_key() -> get smallest key of T, O(log(n))\n    * pop_min() -> (k, v), remove item with minimum key, O(log(n))\n    * pop_max() -> (k, v), remove item with maximum key, O(log(n))\n    * nlargest(i[,pop]) -> get list of i largest items (k, v), O(i*log(n))\n    * nsmallest(i[,pop]) -> get list of i smallest items (k, v), O(i*log(n))\n\nSet methods (using frozenset)\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n    * intersection(t1, t2, ...) -> Tree with keys *common* to all trees\n    * union(t1, t2, ...) -> Tree with keys from *either* trees\n    * difference(t1, t2, ...) -> Tree with keys in T but not any of t1, t2, ...\n    * symmetric_difference(t1) -> Tree with keys in either T and t1  but not both\n    * is_subset(S) -> True if every element in T is in S (synonym issubset() exist)\n    * is_superset(S) -> True if every element in S is in T (synonym issuperset() exist)\n    * is_disjoint(S) ->  True if T has a null intersection with S (synonym isdisjoint() exist)\n\nClassmethods\n~~~~~~~~~~~~\n\n    * from_keys(S[,v]) -> New tree with keys from S and values equal to v. (synonym fromkeys() exist)\n\nHelper functions\n~~~~~~~~~~~~~~~~\n\n    * bintrees.has_fast_tree_support() -> True if Cython extension is working else False (False = using pure Python implementation)\n\nInstallation\n============\n\nfrom source::\n\n    python setup.py install\n\nor from PyPI::\n\n    pip install bintrees\n\nCompiling the fast Trees requires Cython and on Windows is a C-Compiler necessary.\n\nDownload Binaries for Windows\n=============================\n\nhttps://github.com/mozman/bintrees/releases\n\nDocumentation\n=============\n\nthis README.rst\n\nbintrees can be found on GitHub.com at:\n\nhttps://github.com/mozman/bintrees.git\n\nNEWS\n====\n\nVersion 2.0.7 - 2017-04-28\n\n  * BUGFIX: foreach (pure Python implementation) works with empty trees\n  * acquire GIL for PyMem_Malloc() and PyMem_Free() calls\n\nVersion 2.0.6 - 2017-02-04\n\n  * BUGFIX: correct deepcopy() for tree in tree\n\nVersion 2.0.5 - 2017-02-04\n\n  * support for copy.deepcopy()\n  * changed status back to `Mature`, there will be: bugfixes, compatibility checks and simple additions like this deep\n    copy support, because I got feedback, that there are some special cases in which `bintrees` can be useful.\n  * switched development to 64bit only & MS compilers - on Windows 7 everything works fine now with CPython 2.7/3.5/3.6\n\nRepository moved to GitHub: https://github.com/mozman/bintrees.git\n\nVersion 2.0.4 - 2016-01-09\n\n  * removed logging statements on import\n  * added helper function bintrees.has_fast_tree_support()\n  * HINT: pypy runs faster than CPython with Cython extension\n\nVersion 2.0.3 - 2016-01-06\n\n  * replaced print function by logging.warning for import warning messages\n  * KNOWN ISSUE: unable to build Cython extension with MingW32 and CPython 3.5 & CPython 2.7.10\n\nVersion 2.0.2 - 2015-02-12\n\n  * fixed foreach cython-function by Sam Yaple\n\nVersion 2.0.1 - 2013-10-01\n\n  * removed __del__() method to avoid problems with garbage collection\n\nVersion 2.0.0 - 2013-06-01\n\n  * API change: consistent method naming with synonyms for dict/set compatibility\n  * code base refactoring\n  * removed tree walkers\n  * removed low level node stack implementation -> caused crashes\n  * optimizations for pypy: iter_items(), succ_item(), prev_item()\n  * tested with CPython2.7, CPython3.3, pypy-2.0 on Win7 and Linux Mint 15 x64 (pypy-1.9)\n\nVersion 1.0.3 - 2013-05-01\n\n  * extended iter_items(startkey=None, endkey=None, reverse=reverse) -> better performance for slicing\n  * Cython implementation of iter_items() for Fast_X_Trees()\n  * added key parameter *reverse* to itemslice(), keyslice(), valueslice()\n  * tested with CPython2.7, CPython3.3, pypy-2.0\n\nVersion 1.0.2 - 2013-04-01\n\n  * bug fix: FastRBTree data corruption on inserting existing keys\n  * bug fix: union & symmetric_difference - copy all values to result tree\n\nVersion 1.0.1 - 2013-02-01\n\n  * bug fixes\n  * refactorings by graingert\n  * skip useless tests for pypy\n  * new license: MIT License\n  * tested with CPython2.7, CPython3.2, CPython3.3, pypy-1.9, pypy-2.0-beta1\n  * unified line endings to LF\n  * PEP8 refactorings\n  * added floor_item/key, ceiling_item/key methods, thanks to Dai Mikurube\n\nVersion 1.0.0 - 2011-12-29\n\n  * bug fixes\n  * status: 5 - Production/Stable\n  * removed useless TreeIterator() class and T.treeiter() method.\n  * patch from Max Motovilov to use Visual Studio 2008 for building C-extensions\n\nVersion 0.4.0 - 2011-04-14\n\n  * API change!!!\n  * full Python 3 support, also for Cython implementations\n  * removed user defined compare() function - keys have to be comparable!\n  * removed T.has_key(), use 'key in T'\n  * keys(), items(), values() generating 'views'\n  * removed iterkeys(), itervalues(), iteritems() methods\n  * replaced index slicing by key slicing\n  * removed index() and item_at()\n  * repr() produces a correct representation\n  * installs on systems without cython (tested with pypy)\n  * new license: GNU Library or Lesser General Public License (LGPL)\n\nVersion 0.3.2 - 2011-04-09\n\n  * added itemslice(startkey, endkey), keyslice(startkey, endkey),\n    valueslice(startkey, endkey) - slicing by keys\n  * tested with pypy 1.4.1, damn fast\n  * Pure Python trees are working with Python 3\n  * No Cython implementation for Python 3\n\nVersion 0.3.1 - 2010-09-10\n\n  * runs with Python 2.7\n\nVersion 0.3.0 - 2010-05-11\n\n  * low level functions written as c-module only interface to python is a cython\n    module\n  * support for the pickle protocol\n\nVersion 0.2.1 - 2010-05-06\n\n  * added delslice del T[0:3] -> remove treenodes 0, 1, 2\n  * added discard -> remove key without KeyError if not found\n  * added heap methods: min, max, nlarges, nsmallest ...\n  * added Set methods -> intersection, differnce, union, ...\n  * added slicing: T[5:10] get items with position (not key!)  5, 6, 7, 8, 9\n          T[5] get item with key! 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