Files
bitchat/bitchatTests/BloomFilterTests.swift
T
jack 4d61cec032 Prepare for App Store submission
- Added public domain headers to all test files
- Updated Info.plist with required App Store keys:
  - ITSAppUsesNonExemptEncryption = NO
  - LSApplicationCategoryType = Social Networking
  - UIRequiresFullScreen = YES
- Created proper Assets.xcassets structure
- Configured AppIcon.appiconset with all icon references
- Removed last TODO comment
- Created comprehensive App Store submission checklist
- Updated project.yml to include Assets.xcassets

The app is now ready for App Store submission. All debug code has been removed,
icons are configured, and privacy/security compliance is documented.
2025-07-04 16:44:00 +02:00

97 lines
2.9 KiB
Swift

//
// BloomFilterTests.swift
// bitchatTests
//
// This is free and unencumbered software released into the public domain.
// For more information, see <https://unlicense.org>
//
import XCTest
@testable import bitchat
class BloomFilterTests: XCTestCase {
func testBasicBloomFilter() {
let filter = BloomFilter(size: 1024, hashCount: 3)
// Test insertion and lookup
let testStrings = ["message1", "message2", "message3", "test123"]
for str in testStrings {
XCTAssertFalse(filter.contains(str))
filter.insert(str)
XCTAssertTrue(filter.contains(str))
}
}
func testFalsePositiveRate() {
let filter = BloomFilter(size: 4096, hashCount: 3)
let itemCount = 100
// Insert items
for i in 0..<itemCount {
filter.insert("item\(i)")
}
// Check false positive rate
var falsePositives = 0
let testCount = 1000
for i in itemCount..<(itemCount + testCount) {
if filter.contains("item\(i)") {
falsePositives += 1
}
}
let falsePositiveRate = Double(falsePositives) / Double(testCount)
// With 4096 bits and 3 hash functions, for 100 items,
// false positive rate should be around 0.05% (very low)
XCTAssertLessThan(falsePositiveRate, 0.05)
}
func testReset() {
let filter = BloomFilter(size: 1024, hashCount: 3)
// Insert some items
filter.insert("test1")
filter.insert("test2")
filter.insert("test3")
XCTAssertTrue(filter.contains("test1"))
XCTAssertTrue(filter.contains("test2"))
XCTAssertTrue(filter.contains("test3"))
// Reset
filter.reset()
// Should no longer contain items
XCTAssertFalse(filter.contains("test1"))
XCTAssertFalse(filter.contains("test2"))
XCTAssertFalse(filter.contains("test3"))
}
func testHashDistribution() {
let filter = BloomFilter(size: 4096, hashCount: 3)
// Insert many items and check bit distribution
for i in 0..<500 {
filter.insert("message-\(i)")
}
// Count set bits
var setBits = 0
for i in 0..<filter.bitArray.count {
setBits += filter.bitArray[i].nonzeroBitCount
}
// Should have reasonable distribution (not all bits set)
let totalBits = filter.bitArray.count * 64
let utilization = Double(setBits) / Double(totalBits)
// With 500 items, 3 hashes each, we expect around 1500 bits set
// In a 4096 bit filter, that's about 37% utilization
XCTAssertGreaterThan(utilization, 0.2)
XCTAssertLessThan(utilization, 0.6)
}
}