ladybird/AK/MemMem.h
AnotherTest 036b39cdfd AK: Implement memmem() for iterator haystacks
This uses the KMP algorithm to implement the search.
Also replaces the slow route of the normal memmem() with KMP, which
should be fairly faster (O(n + m) as opposed to O(n * m)) :^)
2020-12-08 23:34:38 +01:00

147 lines
4.9 KiB
C++

/*
* Copyright (c) 2020, the SerenityOS developers.
* All rights reserved.
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* 1. Redistributions of source code must retain the above copyright notice, this
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*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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#pragma once
#include <AK/Array.h>
#include <AK/Assertions.h>
#include <AK/Span.h>
#include <AK/Types.h>
#include <AK/Vector.h>
namespace AK {
namespace {
const static void* bitap_bitwise(const void* haystack, size_t haystack_length, const void* needle, size_t needle_length)
{
ASSERT(needle_length < 32);
u64 lookup = 0xfffffffe;
constexpr size_t mask_length = (size_t)((u8)-1) + 1;
u64 needle_mask[mask_length];
for (size_t i = 0; i < mask_length; ++i)
needle_mask[i] = 0xffffffff;
for (size_t i = 0; i < needle_length; ++i)
needle_mask[((const u8*)needle)[i]] &= ~(0x00000001 << i);
for (size_t i = 0; i < haystack_length; ++i) {
lookup |= needle_mask[((const u8*)haystack)[i]];
lookup <<= 1;
if (!(lookup & (0x00000001 << needle_length)))
return ((const u8*)haystack) + i - needle_length + 1;
}
return nullptr;
}
}
template<typename HaystackIterT>
static inline Optional<size_t> memmem(const HaystackIterT& haystack_begin, const HaystackIterT& haystack_end, Span<const u8> needle) requires(requires { (*haystack_begin).data(); (*haystack_begin).size(); })
{
auto prepare_kmp_partial_table = [&] {
Vector<int, 64> table;
table.resize(needle.size());
size_t position = 1;
int candidate = 0;
table[0] = -1;
while (position < needle.size()) {
if (needle[position] == needle[candidate]) {
table[position] = table[candidate];
} else {
table[position] = candidate;
do {
candidate = table[candidate];
} while (candidate >= 0 && needle[candidate] != needle[position]);
}
++position;
++candidate;
}
return table;
};
auto table = prepare_kmp_partial_table();
size_t total_haystack_index = 0;
size_t current_haystack_index = 0;
int needle_index = 0;
auto haystack_it = haystack_begin;
while (haystack_it != haystack_end) {
auto&& chunk = *haystack_it;
if (current_haystack_index >= chunk.size()) {
current_haystack_index = 0;
++haystack_it;
continue;
}
if (needle[needle_index] == chunk[current_haystack_index]) {
++needle_index;
++current_haystack_index;
++total_haystack_index;
if ((size_t)needle_index == needle.size())
return total_haystack_index - needle_index;
continue;
}
needle_index = table[needle_index];
if (needle_index < 0) {
++needle_index;
++current_haystack_index;
++total_haystack_index;
}
}
return {};
}
static inline const void* memmem(const void* haystack, size_t haystack_length, const void* needle, size_t needle_length)
{
if (needle_length == 0)
return haystack;
if (haystack_length < needle_length)
return nullptr;
if (haystack_length == needle_length)
return __builtin_memcmp(haystack, needle, haystack_length) == 0 ? haystack : nullptr;
if (needle_length < 32)
return bitap_bitwise(haystack, haystack_length, needle, needle_length);
// Fallback to KMP.
Array<Span<const u8>, 1> spans { Span<const u8> { (const u8*)haystack, haystack_length } };
auto result = memmem(spans.begin(), spans.end(), { (const u8*)needle, needle_length });
if (result.has_value())
return (const u8*)haystack + result.value();
return {};
}
}