This repository was archived by the owner on Dec 6, 2022. It is now read-only.
-
Notifications
You must be signed in to change notification settings - Fork 17
/
Copy pathxor_filter_test.cc
55 lines (45 loc) · 1.71 KB
/
xor_filter_test.cc
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
// Copyright 2020 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://www.apache.org/licenses/LICENSE-2.0
//
// 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.
//
// -----------------------------------------------------------------------------
// File: xor_filter_test.cc
// -----------------------------------------------------------------------------
#include "xor_filter.h"
#include <cstdint>
#include <vector>
#include "gmock/gmock.h"
#include "gtest/gtest.h"
namespace ci {
static constexpr size_t kNumKeys = 1000;
TEST(Xor8Test, Contains) {
Xor8 xor8(/*keys=*/{1, 2, 3, 4});
EXPECT_TRUE(xor8.Contains(/*key=*/1));
EXPECT_TRUE(xor8.Contains(/*key=*/2));
EXPECT_TRUE(xor8.Contains(/*key=*/3));
EXPECT_TRUE(xor8.Contains(/*key=*/4));
}
TEST(Xor8Test, CheckForLowFalsePositiveProbability) {
std::vector<uint64_t> keys;
keys.reserve(kNumKeys);
for (uint64_t i = 0; i < kNumKeys; ++i) keys.push_back(i);
Xor8 xor8(keys);
for (const uint64_t key : keys) EXPECT_TRUE(xor8.Contains(key));
size_t num_false_positives = 0;
for (uint64_t i = kNumKeys; i < 2 * kNumKeys; ++i)
num_false_positives += xor8.Contains(i);
const double false_positive_probability =
static_cast<double>(num_false_positives) / kNumKeys;
EXPECT_LT(false_positive_probability, 0.01);
}
} // namespace ci