├── .gitattributes
├── .gitignore
├── ebin
└── gb_merkle_trees.app
├── Makefile
├── .travis.yml
├── README.md
├── LICENSE.md
└── src
└── gb_merkle_trees.erl
/.gitattributes:
--------------------------------------------------------------------------------
1 | erlang.mk -diff
2 |
--------------------------------------------------------------------------------
/.gitignore:
--------------------------------------------------------------------------------
1 | .eunit
2 | deps
3 | *.o
4 | *.beam
5 | *.plt
6 | erl_crash.dump
7 | ebin/
8 | doc/
9 | *.d
10 |
--------------------------------------------------------------------------------
/ebin/gb_merkle_trees.app:
--------------------------------------------------------------------------------
1 | {application, 'gb_merkle_trees', [
2 | {description, "General balanced Merkle trees"},
3 | {vsn, "0.2.2"},
4 | {modules, ['gb_bench','gb_merkle_trees']},
5 | {registered, []},
6 | {applications, [kernel,stdlib,crypto]},
7 | {env, []}
8 | ]}.
--------------------------------------------------------------------------------
/Makefile:
--------------------------------------------------------------------------------
1 | PROJECT = gb_merkle_trees
2 | PROJECT_DESCRIPTION = General balanced Merkle trees
3 | PROJECT_VERSION = 0.2.2
4 |
5 | TEST_DEPS = triq
6 | dep_triq = git https://gitlab.com/triq/triq.git e5ba907a11985bf8150f5b5b332d39516ab15857
7 |
8 | LOCAL_DEPS = crypto
9 |
10 | # Whitespace to be used when creating files from templates.
11 | SP = 2
12 |
13 | include erlang.mk
14 |
--------------------------------------------------------------------------------
/.travis.yml:
--------------------------------------------------------------------------------
1 | sudo: false
2 | dist: trusty
3 | language: erlang
4 | otp_release:
5 | - 20.0.1
6 | - 19.3.6.1
7 | - 18.3
8 | addons:
9 | apt:
10 | sources:
11 | - debian-sid
12 | packages:
13 | ## GNU Make 4. GNU Make 3.81 as [in Ubuntu 14.04
14 | ## "trusty"](https://packages.ubuntu.com/trusty/make) is not
15 | ## sufficient, because of error on `triq` test dep when running
16 | ## `make tests`. Also erlang.mk reports the following warning:
17 | ## "erlang.mk:24: Please upgrade to GNU Make 4 or later:
18 | ## https://erlang.mk/guide/installation.html".
19 | - make
20 | before_install:
21 | - make --version
22 | script:
23 | - |
24 | case "${JOB:?}" in
25 | dotapp)
26 | A=ebin/gb_merkle_trees.app
27 | test -f ${A:?}
28 | C=$(cat ${A:?})
29 | rm ${A:?} && test ! -e ${A:?} && make ${A:?} && test -f ${A:?}
30 | printf "%b" "${C:?}" | diff -u - ${A:?}
31 | ;;
32 | *)
33 | make ${JOB:?}
34 | ;;
35 | esac
36 | matrix:
37 | include:
38 | - otp_release: 20.0.1
39 | env: JOB=edoc
40 | - otp_release: 20.0.1
41 | env: JOB=dotapp
42 | env:
43 | - JOB=check
44 |
--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
1 | # gb_merkle_trees
2 |
3 | An Erlang library that provides a dictionary-like storage for binaries using general balanced binary Merkle trees, with an interface similar to `gb_trees`.
4 |
5 | This library uses [semantic versioning 2.0](http://semver.org/). If a change causes different root hashes to be generated for the same input data when entering or deleting, it is considered backwards incompatible.
6 |
7 | [erlang.mk](https://erlang.mk/) is used as a build tool.
8 |
9 | ## Documentation
10 |
11 | Run `make edoc` and open `doc/index.html`.
12 |
13 | ## Contributing
14 |
15 | Unless you’re deleting code or making pure optimizations, write tests. Except for basic cases, testing of this library is done using [triq](https://github.com/triqng/triq). To run tests, execute `make tests`.
16 |
17 | Write function specifications. To run Dialyzer, execute `make dialyze`.
18 |
19 | No hard line length limit is imposed.
20 |
21 | ## License
22 |
23 | This software is licensed under under [the Apache License, Version 2.0](http://www.apache.org/licenses/LICENSE-2.0) (the “License”); you may not use this software except in compliance with the License. Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
24 |
--------------------------------------------------------------------------------
/LICENSE.md:
--------------------------------------------------------------------------------
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/src/gb_merkle_trees.erl:
--------------------------------------------------------------------------------
1 | %% Licensed under the Apache License, Version 2.0 (the “License”);
2 | %% you may not use this file except in compliance with the License.
3 | %% You may obtain a copy of the License at
4 | %%
5 | %% http://www.apache.org/licenses/LICENSE-2.0
6 | %%
7 | %% Unless required by applicable law or agreed to in writing, software
8 | %% distributed under the License is distributed on an “AS IS” BASIS,
9 | %% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
10 | %% See the License for the specific language governing permissions and
11 | %% limitations under the License.
12 | %%
13 | %% @doc General balanced binary Merkle trees. Similar to {@link //stdlib/gb_trees}, but with Merkle proofs.
14 | %%
15 | %% Keys and values need to be binaries. Values are stored only in leaf nodes to shorten Merkle proofs.
16 | %%
17 | %% Hashes of leaf nodes are based on concatenation of hashes of key and value. Hashes of inner nodes are based on concatenation of hashes of left and right node.
18 | %%
19 | %% Similarly as in {@link //stdlib/gb_trees}, deletions do not cause trees to rebalance.
20 | %%
21 | %% SHA-256 is used as the default hashing algorithm. You can define the `GB_MERKLE_TREES_HASH_ALGORITHM' macro to use another algorithm. See documentation of {@link //crypto/crypto:hash/2} for available choices.
22 | %%
23 | %% @author Krzysztof Jurewicz [http://jurewicz.org.pl]
24 | %%
25 | %% @reference See Arne Andersson’s “General Balanced Trees” article for insights about the balancing algorithm. The original balance condition has been changed to 2^h(T) ≤ |T|^2.
26 | %% @reference See go-merkle for a similar in purpose library written in Go which uses AVL trees instead of general balanced trees.
27 | %% @see //stdlib/gb_trees
28 | %% @see //crypto/crypto:hash/2
29 |
30 | -module(gb_merkle_trees).
31 | -export([balance/1,
32 | delete/2,
33 | empty/0,
34 | enter/3,
35 | foldr/3,
36 | from_list/1,
37 | from_orddict/1,
38 | from_orddict/2,
39 | keys/1,
40 | lookup/2,
41 | merkle_proof/2,
42 | root_hash/1,
43 | size/1,
44 | to_orddict/1,
45 | verify_merkle_proof/4]).
46 |
47 | -ifdef(TEST).
48 | -include_lib("triq/include/triq.hrl").
49 | -include_lib("eunit/include/eunit.hrl").
50 | -endif.
51 |
52 | -ifndef(GB_MERKLE_TREES_HASH_ALGORITHM).
53 | -define(GB_MERKLE_TREES_HASH_ALGORITHM, sha256).
54 | -endif.
55 | -define(HASH(X), crypto:hash(?GB_MERKLE_TREES_HASH_ALGORITHM, X)).
56 |
57 | %% Trees are balanced using the condition 2^h(T) ≤ |T|^C
58 | -define(C, 2).
59 |
60 | -type key() :: binary().
61 | -type value() :: binary().
62 | -type hash() :: binary().
63 |
64 | %% We distinguish inner nodes and tree nodes by tuple length instead of using records to save some space.
65 | -type leaf_node() :: {key(), value(), hash()}.
66 | -type inner_node() :: {key(), hash() | to_be_computed, Left :: inner_node() | leaf_node(), Right :: inner_node() | leaf_node()}.
67 | -type tree_node() :: leaf_node() | inner_node() | empty.
68 | -opaque tree() :: {Size :: non_neg_integer(), RootNode :: tree_node()}.
69 | -type merkle_proof() :: {hash() | merkle_proof(), hash() | merkle_proof()}.
70 |
71 | -export_type(
72 | [key/0,
73 | value/0,
74 | hash/0,
75 | tree/0,
76 | merkle_proof/0]).
77 |
78 | -spec delete(key(), tree()) -> tree().
79 | %% @doc Remove key from tree. The key must be present in the tree.
80 | delete(Key, {Size, RootNode}) ->
81 | {Size - 1, delete_1(Key, RootNode)}.
82 |
83 | -spec delete_1(key(), tree_node()) -> tree_node().
84 | delete_1(Key, {Key, _, _}) ->
85 | empty;
86 | delete_1(Key, {InnerKey, _, LeftNode, RightNode}) ->
87 | case Key < InnerKey of
88 | true ->
89 | case delete_1(Key, LeftNode) of
90 | empty ->
91 | RightNode;
92 | NewLeftNode ->
93 | {InnerKey, inner_hash(node_hash(NewLeftNode), node_hash(RightNode)), NewLeftNode, RightNode}
94 | end;
95 | _ ->
96 | case delete_1(Key, RightNode) of
97 | empty ->
98 | LeftNode;
99 | NewRightNode ->
100 | {InnerKey, inner_hash(node_hash(LeftNode), node_hash(NewRightNode)), LeftNode, NewRightNode}
101 | end
102 | end.
103 |
104 | -spec empty() -> tree().
105 | %% @doc Return an empty tree.
106 | empty() ->
107 | {0, empty}.
108 |
109 | -spec size(tree()) -> non_neg_integer().
110 | %% @doc Return number of elements stored in the tree.
111 | size({Size, _}) ->
112 | Size.
113 |
114 | -spec leaf_hash(key(), value()) -> hash().
115 | leaf_hash(Key, Value) ->
116 | KeyHash = ?HASH(Key),
117 | ValueHash = ?HASH(Value),
118 | ?HASH(<>).
119 |
120 | -spec inner_hash(hash(), hash()) -> hash().
121 | inner_hash(LeftHash, RightHash) ->
122 | ?HASH(<>).
123 |
124 | -spec root_hash(tree()) -> hash() | undefined.
125 | %% @doc Return the hash of root node.
126 | root_hash({_, RootNode}) ->
127 | node_hash(RootNode).
128 |
129 | -spec merkle_proof(key(), tree()) -> merkle_proof().
130 | %% @doc For a given key return a proof that, along with its value, it is contained in tree.
131 | %% Hash for root node is not included in the proof.
132 | merkle_proof(Key, {_Size, RootNode}) ->
133 | merkle_proof_node(Key, RootNode).
134 |
135 | -spec merkle_proof_node(key(), tree_node()) -> merkle_proof().
136 | merkle_proof_node(Key, {Key, Value, _}) ->
137 | {?HASH(Key), ?HASH(Value)};
138 | merkle_proof_node(Key, {InnerKey, _, Left, Right}) ->
139 | case Key < InnerKey of
140 | true ->
141 | {merkle_proof_node(Key, Left), node_hash(Right)};
142 | _ ->
143 | {node_hash(Left), merkle_proof_node(Key, Right)}
144 | end.
145 |
146 | -spec verify_merkle_proof(key(), value(), Root::hash(), merkle_proof()) ->
147 | ok | {error, Reason} when
148 | Reason :: {key_hash_mismatch, hash()}
149 | | {value_hash_mismatch, hash()}
150 | | {root_hash_mismatch, hash()}.
151 | %% @doc Verify a proof against a leaf and a root node hash.
152 | verify_merkle_proof(Key, Value, RootHash, Proof) ->
153 | {KH, VH} = {?HASH(Key), ?HASH(Value)},
154 | {PKH, PVH} = bottom_merkle_proof_pair(Proof),
155 | if
156 | PKH =/= KH ->
157 | {error, {key_hash_mismatch, PKH}};
158 | PVH =/= VH ->
159 | {error, {value_hash_mismatch, PKH}};
160 | true ->
161 | PRH = merkle_fold(Proof),
162 | if
163 | PRH =/= RootHash ->
164 | {error, {root_hash_mismatch, PRH}};
165 | true ->
166 | ok
167 | end
168 | end.
169 |
170 | -spec from_list(list({key(), value()})) -> tree().
171 | %% @doc Create a tree from a list.
172 | %% This creates a tree by iteratively inserting elements and not necessarily results in a perfect balance, like the one obtained when running {@link from_orddict/1}.
173 | from_list(List) ->
174 | from_list(List, empty()).
175 |
176 | -spec from_list(list({key(), value()}), Acc :: tree()) -> tree().
177 | from_list([], Acc) ->
178 | Acc;
179 | from_list([{Key, Value}|Rest], Acc) ->
180 | from_list(Rest, enter(Key, Value, Acc)).
181 |
182 | -spec from_orddict(OrdDict :: list({key(), value()})) -> tree().
183 | %% @equiv from_orddict(OrdDict, length(OrdDict))
184 | from_orddict(OrdDict) ->
185 | from_orddict(OrdDict, length(OrdDict)).
186 |
187 | -spec from_orddict(list({key(), value()}), Size :: non_neg_integer()) -> tree().
188 | %% @doc Create a perfectly balanced tree from an ordered dictionary.
189 | from_orddict(OrdDict, Size) ->
190 | {Size, balance_orddict(OrdDict, Size)}.
191 |
192 | -spec to_orddict(tree()) -> list({key(), value()}).
193 | %% @doc Convert tree to an orddict.
194 | to_orddict(Tree) ->
195 | foldr(
196 | fun (KV, Acc) ->
197 | [KV|Acc]
198 | end,
199 | [],
200 | Tree).
201 |
202 | -spec keys(tree()) -> list(key()).
203 | %% @doc Return the keys as an ordered list.
204 | keys(Tree) ->
205 | foldr(
206 | fun ({Key, _}, Acc) -> [Key|Acc] end,
207 | [],
208 | Tree).
209 |
210 | -spec foldr(fun(({key(), value()}, Acc :: any()) -> any()), Acc :: any(), tree()) -> Acc :: any().
211 | %% @doc Iterate through keys and values, from those with highest keys to lowest.
212 | foldr(Fun, Acc, {_, RootNode}) ->
213 | foldr_1(Fun, Acc, RootNode).
214 |
215 | -spec foldr_1(fun(({key(), value()}, Acc :: any()) -> any()), Acc :: any(), tree_node()) -> Acc :: any().
216 | foldr_1(_, Acc, empty) ->
217 | Acc;
218 | foldr_1(F, Acc, _LeafNode={Key, Value, _}) ->
219 | F({Key, Value}, Acc);
220 | foldr_1(F, Acc, {_, _, Left, Right}) ->
221 | foldr_1(F, foldr_1(F, Acc, Right), Left).
222 |
223 | -spec node_hash(tree_node()) -> hash() | undefined.
224 | node_hash(empty) ->
225 | undefined;
226 | node_hash({_, _, Hash}) ->
227 | Hash;
228 | node_hash({_, Hash, _, _}) ->
229 | Hash.
230 |
231 | -spec enter(key(), value(), tree()) -> tree().
232 | %% @doc Insert or update key and value into tree.
233 | enter(Key, Value, {Size, RootNode}) ->
234 | {NewRootNode, undefined, undefined, KeyExists} = enter_1(Key, Value, RootNode, 0, Size),
235 | NewSize =
236 | case KeyExists of
237 | true -> Size;
238 | _ -> Size + 1
239 | end,
240 | {NewSize, NewRootNode}.
241 |
242 | -spec enter_1(key(), value(), tree_node(), Depth :: non_neg_integer(), TreeSize :: non_neg_integer()) ->
243 | {tree_node(), RebalancingCount :: pos_integer() | undefined, Height :: non_neg_integer() | undefined, KeyExists :: boolean()}.
244 | enter_1(Key, Value, empty, _, _) ->
245 | {{Key, Value, leaf_hash(Key, Value)}, undefined, undefined, false};
246 | enter_1(Key, Value, ExistingLeafNode={ExistingKey, _, _}, Depth, TreeSize) ->
247 | NewLeafNode = {Key, Value, leaf_hash(Key, Value)},
248 | case Key =:= ExistingKey of
249 | true ->
250 | {NewLeafNode, undefined, undefined, true};
251 | _ ->
252 | NewTreeSize = TreeSize + 1,
253 | NewDepth = Depth + 1,
254 | {InnerKey, LeftNode, RightNode} =
255 | case Key > ExistingKey of
256 | true ->
257 | {Key, ExistingLeafNode, NewLeafNode};
258 | _ ->
259 | {ExistingKey, NewLeafNode, ExistingLeafNode}
260 | end,
261 | case rebalancing_needed(NewTreeSize, NewDepth) of
262 | true ->
263 | {{InnerKey, to_be_computed, LeftNode, RightNode},
264 | 2,
265 | 1,
266 | false};
267 | _ ->
268 | {{InnerKey, inner_hash(node_hash(LeftNode), node_hash(RightNode)), LeftNode, RightNode},
269 | undefined,
270 | undefined,
271 | false}
272 | end
273 | end;
274 | enter_1(Key, Value, InnerNode={InnerKey, _, LeftNode, RightNode}, Depth, TreeSize) ->
275 | NodeToFollowSymb =
276 | case Key < InnerKey of
277 | true -> left;
278 | _ -> right
279 | end,
280 | {NodeToFollow, NodeNotChanged} =
281 | case NodeToFollowSymb of
282 | right -> {RightNode, LeftNode};
283 | left -> {LeftNode, RightNode}
284 | end,
285 | {NewNode, RebalancingCount, Height, KeyExists} = enter_1(Key, Value, NodeToFollow, Depth + 1, TreeSize),
286 | {NewLeftNode, NewRightNode} =
287 | case NodeToFollowSymb of
288 | right ->
289 | {LeftNode, NewNode};
290 | _ ->
291 | {NewNode, RightNode}
292 | end,
293 | case RebalancingCount of
294 | undefined ->
295 | {update_inner_node(InnerNode, NewLeftNode, NewRightNode), undefined, undefined, KeyExists};
296 | _ ->
297 | Count = RebalancingCount + node_size(NodeNotChanged),
298 | NewHeight = Height + 1,
299 | NewInnerNodeUnbalanced = {InnerKey, to_be_computed, NewLeftNode, NewRightNode},
300 | case may_be_rebalanced(Count, NewHeight) of
301 | true ->
302 | {balance_node(NewInnerNodeUnbalanced, Count),
303 | undefined,
304 | undefined,
305 | KeyExists};
306 | _ ->
307 | {NewInnerNodeUnbalanced,
308 | Count,
309 | NewHeight,
310 | KeyExists}
311 | end
312 | end.
313 |
314 | -spec rebalancing_needed(TreeSize :: non_neg_integer(), Depth :: non_neg_integer()) -> boolean().
315 | rebalancing_needed(TreeSize, Depth) ->
316 | math:pow(2, Depth) > math:pow(TreeSize, ?C).
317 |
318 | -spec may_be_rebalanced(Count :: non_neg_integer(), Height :: non_neg_integer()) -> boolean().
319 | may_be_rebalanced(Count, Height) ->
320 | math:pow(2, Height) > math:pow(Count, ?C).
321 |
322 | -spec node_size(tree_node()) -> non_neg_integer().
323 | node_size(empty) ->
324 | 0;
325 | node_size({_, _, _}) ->
326 | 1;
327 | node_size({_, _, Left, Right}) ->
328 | node_size(Left) + node_size(Right).
329 |
330 | -spec balance_orddict(list({key(), value()}), Size :: non_neg_integer()) -> tree_node().
331 | balance_orddict(KVOrdDict, Size) ->
332 | {Node, []} = balance_orddict_1(KVOrdDict, Size),
333 | Node.
334 |
335 | -spec balance_orddict_1(list({key(), value()}), Size :: non_neg_integer()) -> {tree_node(), list({key(), value()})}.
336 | balance_orddict_1(OrdDict, Size) when Size > 1 ->
337 | Size2 = Size div 2,
338 | Size1 = Size - Size2,
339 | {LeftNode, OrdDict1=[{Key, _} | _]} = balance_orddict_1(OrdDict, Size1),
340 | {RightNode, OrdDict2} = balance_orddict_1(OrdDict1, Size2),
341 | InnerNode = {Key, inner_hash(node_hash(LeftNode), node_hash(RightNode)), LeftNode, RightNode},
342 | {InnerNode, OrdDict2};
343 | balance_orddict_1([{Key, Value} | OrdDict], 1) ->
344 | {{Key, Value, leaf_hash(Key, Value)}, OrdDict};
345 | balance_orddict_1(OrdDict, 0) ->
346 | {empty, OrdDict}.
347 |
348 | -spec node_to_orddict(tree_node()) -> list({key(), value()}).
349 | node_to_orddict(Node) ->
350 | foldr_1(
351 | fun (KV, Acc) ->
352 | [KV|Acc]
353 | end,
354 | [],
355 | Node).
356 |
357 | -spec balance_node(tree_node(), Size :: non_neg_integer()) -> tree_node().
358 | balance_node(Node, Size) ->
359 | KVOrdDict = node_to_orddict(Node),
360 | balance_orddict(KVOrdDict, Size).
361 |
362 | -spec balance(tree()) -> tree().
363 | %% @doc Perfectly balance a tree.
364 | balance({Size, RootNode}) ->
365 | {Size, balance_orddict(node_to_orddict(RootNode), Size)}.
366 |
367 | -spec lookup(key(), tree()) -> value() | none.
368 | %% @doc Fetch value for key from tree.
369 | lookup(Key, {_, RootNode}) ->
370 | lookup_1(Key, RootNode).
371 |
372 | -spec lookup_1(key(), inner_node() | leaf_node()) -> value() | none.
373 | lookup_1(Key, {Key, Value, _}) ->
374 | Value;
375 | lookup_1(Key, {InnerKey, _, Left, Right}) ->
376 | case Key < InnerKey of
377 | true ->
378 | lookup_1(Key, Left);
379 | _ ->
380 | lookup_1(Key, Right)
381 | end;
382 | lookup_1(_, _) ->
383 | none.
384 |
385 | -spec update_inner_node(inner_node(), Left :: tree_node(), Right :: tree_node()) -> inner_node().
386 | update_inner_node(Node={Key, _, Left, Right}, NewLeft, NewRight) ->
387 | case lists:map(fun node_hash/1, [Left, Right, NewLeft, NewRight]) of
388 | [LeftHash, RightHash, LeftHash, RightHash] ->
389 | %% Nothing changed, no need to rehash.
390 | Node;
391 | [_, _, NewLeftHash, NewRightHash] ->
392 | {Key, inner_hash(NewLeftHash, NewRightHash), NewLeft, NewRight}
393 | end.
394 |
395 | -spec merkle_fold(merkle_proof()) -> hash().
396 | merkle_fold({Left, Right}) ->
397 | LeftHash = merkle_fold(Left),
398 | RightHash = merkle_fold(Right),
399 | ?HASH(<>);
400 | merkle_fold(Hash) ->
401 | Hash.
402 |
403 | -spec bottom_merkle_proof_pair(merkle_proof()) -> {hash(), hash()}.
404 | bottom_merkle_proof_pair({Pair, Hash}) when is_tuple(Pair), is_binary(Hash) ->
405 | bottom_merkle_proof_pair(Pair);
406 | bottom_merkle_proof_pair({_Hash, Pair}) when is_tuple(Pair) ->
407 | bottom_merkle_proof_pair(Pair);
408 | bottom_merkle_proof_pair(Pair) ->
409 | Pair.
410 |
411 | -ifdef(TEST).
412 | empty_test_() ->
413 | [?_assertEqual(0, ?MODULE:size(empty()))].
414 |
415 | %% Types for Triq.
416 | key() ->
417 | binary().
418 | value() ->
419 | binary().
420 | kv_orddict() ->
421 | ?LET(L, list({key(), value()}), orddict:from_list(L)).
422 | tree() ->
423 | %% The validity of data generated by this generator depends on the validity of the `from_list' function.
424 | %% This should not be a problem as long as the `from_list' function itself is tested.
425 | ?LET(KVO, list({key(), value()}), from_list(KVO)).
426 | non_empty_tree() ->
427 | ?SUCHTHAT(Tree, tree(), element(1, Tree) > 0).
428 |
429 | %% Helper functions for Triq.
430 | -spec height(tree()) -> non_neg_integer().
431 | height({_, RootNode}) ->
432 | node_height(RootNode).
433 |
434 | -spec node_height(tree_node()) -> non_neg_integer().
435 | node_height(empty) ->
436 | %% Strictly speaking, there is no height for empty tree.
437 | 0;
438 | node_height({_, _, _}) ->
439 | 0;
440 | node_height({_, _, Left, Right}) ->
441 | 1 + max(node_height(Left), node_height(Right)).
442 |
443 | -spec shallow_height(tree()) -> non_neg_integer().
444 | shallow_height({_, RootNode}) ->
445 | node_shallow_height(RootNode).
446 |
447 | -spec node_shallow_height(tree_node()) -> non_neg_integer().
448 | node_shallow_height(empty) ->
449 | %% Strictly speaking, there is no height for empty tree.
450 | 0;
451 | node_shallow_height({_, _, _}) ->
452 | 0;
453 | node_shallow_height({_, _, Left, Right}) ->
454 | 1 + min(node_shallow_height(Left), node_shallow_height(Right)).
455 |
456 | -spec is_perfectly_balanced(tree()) -> boolean().
457 | is_perfectly_balanced(Tree) ->
458 | height(Tree) - shallow_height(Tree) =< 1.
459 |
460 | -spec fun_idempotent(F :: fun((X) -> X), X) -> boolean().
461 | %% @doc Return true if F(X) =:= X.
462 | fun_idempotent(F, X) ->
463 | F(X) =:= X.
464 |
465 | prop_lookup_does_not_fetch_deleted_key() ->
466 | ?FORALL({Tree, Key, Value},
467 | {tree(), key(), value()},
468 | none =:= lookup(Key, delete(Key, enter(Key, Value, Tree)))).
469 | prop_deletion_decreases_size_by_1() ->
470 | ?FORALL({Tree, Key, Value},
471 | {tree(), key(), value()},
472 | ?MODULE:size(enter(Key, Value, Tree)) - 1 =:= ?MODULE:size(delete(Key, enter(Key, Value, Tree)))).
473 | prop_merkle_proofs_fold_to_root_hash() ->
474 | ?FORALL({Tree, Key, Value},
475 | {tree(), key(), value()},
476 | root_hash(enter(Key, Value, Tree)) =:= merkle_fold(merkle_proof(Key, enter(Key, Value, Tree)))).
477 | prop_merkle_proofs_contain_kv_hashes_at_the_bottom() ->
478 | ?FORALL({Tree, Key, Value},
479 | {tree(), key(), value()},
480 | bottom_merkle_proof_pair(merkle_proof(Key, enter(Key, Value, Tree))) =:= {?HASH(Key), ?HASH(Value)}).
481 | prop_merkle_proofs_can_be_verified() ->
482 | ?FORALL({Tree, Key, Value},
483 | {tree(), key(), value()},
484 | ok =:= verify_merkle_proof(Key, Value, root_hash(enter(Key, Value, Tree)), merkle_proof(Key, enter(Key, Value, Tree)))).
485 | prop_merkle_proofs_verification_reports_mismatch_for_wrong_key() ->
486 | ?FORALL({Tree, Key, Value},
487 | {tree(), key(), value()},
488 | case verify_merkle_proof(<<"X", Key/binary>>, Value, root_hash(enter(Key, Value, Tree)), merkle_proof(Key, enter(Key, Value, Tree))) of
489 | {error, {key_hash_mismatch, H}} when is_binary(H) ->
490 | true;
491 | _ ->
492 | false
493 | end).
494 | prop_merkle_proofs_verification_reports_mismatch_for_wrong_value() ->
495 | ?FORALL({Tree, Key, Value},
496 | {tree(), key(), value()},
497 | case verify_merkle_proof(Key, <<"X", Value/binary>>, root_hash(enter(Key, Value, Tree)), merkle_proof(Key, enter(Key, Value, Tree))) of
498 | {error, {value_hash_mismatch, H}} when is_binary(H) ->
499 | true;
500 | _ ->
501 | false
502 | end).
503 | prop_merkle_proofs_verification_reports_mismatch_for_wrong_root_hash() ->
504 | ?FORALL({Tree, Key, Value},
505 | {tree(), key(), value()},
506 | case verify_merkle_proof(Key, Value, begin RH = root_hash(enter(Key, Value, Tree)), <<"X", RH/binary>> end, merkle_proof(Key, enter(Key, Value, Tree))) of
507 | {error, {root_hash_mismatch, H}} when is_binary(H) ->
508 | true;
509 | _ ->
510 | false
511 | end).
512 | prop_from_list_size() ->
513 | ?FORALL(KVList, list({key(), value()}),
514 | length(proplists:get_keys(KVList)) =:= ?MODULE:size(from_list(KVList))).
515 | prop_from_orddict_size() ->
516 | ?FORALL(KVO, kv_orddict(),
517 | length(KVO) =:= ?MODULE:size(from_list(KVO))).
518 | prop_orddict_conversion_idempotence() ->
519 | ?FORALL(KVO, kv_orddict(), KVO =:= to_orddict(from_orddict(KVO))).
520 | prop_from_orddict_returns_a_perfectly_balanced_tree() ->
521 | ?FORALL(KVO, kv_orddict(), is_perfectly_balanced(from_orddict(KVO))).
522 | prop_keys() ->
523 | ?FORALL(Tree, tree(), keys(Tree) =:= [Key || {Key, _} <- to_orddict(Tree)]).
524 | from_list_sometimes_doesnt_return_a_perfectly_balanced_tree_test() ->
525 | ?assertNotEqual(
526 | true,
527 | triq:counterexample(
528 | ?FORALL(
529 | KVList,
530 | list({key(), value()}),
531 | is_perfectly_balanced(from_list(KVList))))).
532 | prop_foldr_iterates_on_proper_ordering_and_contains_no_duplicates() ->
533 | ?FORALL(Tree, tree(),
534 | fun_idempotent(
535 | fun lists:usort/1,
536 | foldr(
537 | fun({Key, _}, Acc) -> [Key|Acc] end,
538 | [],
539 | Tree)
540 | )).
541 | prop_enter_is_idempotent() ->
542 | ?FORALL({Tree, Key, Value},
543 | {tree(), key(), value()},
544 | fun_idempotent(
545 | fun (Tree_) -> enter(Key, Value, Tree_) end,
546 | enter(Key, Value, Tree))).
547 | prop_entered_value_can_be_retrieved() ->
548 | ?FORALL({Tree, Key, Value},
549 | {tree(), key(), value()},
550 | Value =:= lookup(Key, enter(Key, Value, Tree))).
551 | prop_entered_value_can_be_retrieved_after_balancing() ->
552 | ?FORALL({Tree, Key, Value},
553 | {tree(), key(), value()},
554 | Value =:= lookup(Key, balance(enter(Key, Value, Tree)))).
555 | prop_height_constrained() ->
556 | ?FORALL(Tree, non_empty_tree(), math:pow(2, height(Tree)) =< math:pow(?MODULE:size(Tree), ?C)).
557 | prop_balancing_yields_same_orddict() ->
558 | ?FORALL(Tree, tree(), to_orddict(Tree) =:= to_orddict(balance(Tree))).
559 | prop_entering_key_second_time_does_not_increase_size() ->
560 | ?FORALL({Tree, Key, Value1, Value2},
561 | {tree(), key(), value(), value()},
562 | ?MODULE:size(enter(Key, Value1, Tree)) =:= ?MODULE:size(enter(Key, Value2, enter(Key, Value1, Tree)))).
563 | prop_tree_after_explicit_balancing_is_perfectly_balanced() ->
564 | ?FORALL(Tree, tree(), is_perfectly_balanced(balance(Tree))).
565 | -endif.
566 |
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