API Reference

usearch/index.hpp

Single-header Vector Search engine.

Author

Ash Vardanian

Date

April 26, 2023

Defines

USEARCH_VERSION_MAJOR

USEARCH_VERSION_MINOR

USEARCH_VERSION_PATCH

USEARCH_64BIT_ENV

USEARCH_USE_OPENMP

usearch_concat_helper_m(a, b)

usearch_concat_m(a, b)

usearch_stringify_helper_m(x)

usearch_stringify_m(x)

usearch_prefetch_m(ptr)

usearch_profiled_m

usearch_profile_name_m(name)

usearch_pack_m

usearch_align_m

usearch_assert_m(must_be_true, message)

usearch_noexcept_m

Typedefs

using byte_t = char

using bitset_t = bitset_gt<>

template<typename metric_at, typename ...args_at>
using return_type_gt = typename std::result_of<metric_at(args_at...)>::type

C++17 and newer version deprecate the std::result_of

using default_key_t = std::uint64_t

using default_slot_t = std::uint32_t

using default_distance_t = float

Functions

static inline void __usearch_raise_runtime_error(char const *message)

Helper function to simplify debugging - trace just one symbol - __usearch_raise_runtime_error. Assuming the extern C block, the name won’t be mangled.

template<std::size_t multiple_ak>
std::size_t divide_round_up(std::size_t num) noexcept

inline std::size_t divide_round_up(std::size_t num, std::size_t denominator) noexcept

inline std::size_t ceil2(std::size_t v) noexcept

template<typename at>
void misaligned_store(void *ptr, at v) noexcept

Simply dereferencing misaligned pointers can be dangerous.

template<typename at>
at misaligned_load(void *ptr) noexcept

Simply dereferencing misaligned pointers can be dangerous.

template<typename at, typename other_at = at>
at exchange(at &obj, other_at &&new_value)

The std::exchange alternative for C++11.

template<typename at, typename sfinae_at = at>
std::enable_if<std::is_pod<sfinae_at>::value>::type destroy_at(at*)

The std::destroy_at alternative for C++11.

template<typename at, typename sfinae_at = at>
std::enable_if<!std::is_pod<sfinae_at>::value>::type destroy_at(at *obj)

template<typename at, typename sfinae_at = at>
std::enable_if<std::is_pod<sfinae_at>::value>::type construct_at(at*)

The std::construct_at alternative for C++11.

template<typename at, typename sfinae_at = at>
std::enable_if<!std::is_pod<sfinae_at>::value>::type construct_at(at *obj)

template<typename element_at>
element_at default_free_value()

constexpr std::size_t default_connectivity()

Number of neighbors per graph node. Defaults to 32 in FAISS and 16 in hnswlib.

It is called M in the paper.

constexpr std::size_t default_expansion_add()

Hyper-parameter controlling the quality of indexing. Defaults to 40 in FAISS and 200 in hnswlib.

It is called efConstruction in the paper.

constexpr std::size_t default_expansion_search()

Hyper-parameter controlling the quality of search. Defaults to 16 in FAISS and 10 in hnswlib.

It is called ef in the paper.

constexpr std::size_t default_allocator_entry_bytes()

template<typename object_at>
static constexpr bool is_dummy()

Checks if the provided object has a dummy type, emulating an interface, but performing no real computation.

template<typename at>
constexpr bool has_reset()

Checks if a certain class has a member function called reset.

template<typename key_at>
inline std::size_t get_slot(member_gt<key_at> const &m) noexcept

template<typename key_at>
inline key_at get_key(member_gt<key_at> const &m) noexcept

template<typename key_at>
inline std::size_t get_slot(member_cref_gt<key_at> const &m) noexcept

template<typename key_at>
inline key_at get_key(member_cref_gt<key_at> const &m) noexcept

template<typename key_at>
inline std::size_t get_slot(member_ref_gt<key_at> const &m) noexcept

template<typename key_at>
inline key_at get_key(member_ref_gt<key_at> const &m) noexcept

template<typename men_at, typename women_at, typename men_values_at, typename women_values_at, typename men_metric_at, typename women_metric_at, typename man_to_woman_at = dummy_key_to_key_mapping_t, typename woman_to_man_at = dummy_key_to_key_mapping_t, typename executor_at = dummy_executor_t, typename progress_at = dummy_progress_t>
static join_result_t join(men_at const &men, women_at const &women, men_values_at const &men_values, women_values_at const &women_values, men_metric_at &&men_metric, women_metric_at &&women_metric, index_join_config_t config = {}, man_to_woman_at &&man_to_woman = man_to_woman_at{}, woman_to_man_at &&woman_to_man = woman_to_man_at{}, executor_at &&executor = executor_at{}, progress_at &&progress = progress_at{}) noexcept

Adapts the Male-Optimal Stable Marriage algorithm for unequal sets to perform fast one-to-one matching between two large collections of vectors, using approximate nearest neighbors search.

Parameters:

• man_to_woman – [inout] Container to map ::men keys to ::women.

• woman_to_man – [inout] Container to map ::women keys to ::men.

• executor – [in] Thread-pool to execute the job in parallel.

• progress – [in] Callback to report the execution progress.

namespace unum

namespace usearch

Typedefs

using byte_t = char

using bitset_t = bitset_gt<>

template<typename metric_at, typename ...args_at>
using return_type_gt = typename std::result_of<metric_at(args_at...)>::type

C++17 and newer version deprecate the std::result_of

using default_key_t = std::uint64_t

using default_slot_t = std::uint32_t

using default_distance_t = float

Functions

template<std::size_t multiple_ak>
std::size_t divide_round_up(std::size_t num) noexcept

inline std::size_t divide_round_up(std::size_t num, std::size_t denominator) noexcept

inline std::size_t ceil2(std::size_t v) noexcept

template<typename at>
void misaligned_store(void *ptr, at v) noexcept

Simply dereferencing misaligned pointers can be dangerous.

template<typename at>
at misaligned_load(void *ptr) noexcept

Simply dereferencing misaligned pointers can be dangerous.

template<typename at, typename other_at = at>
at exchange(at &obj, other_at &&new_value)

The std::exchange alternative for C++11.

template<typename at, typename sfinae_at = at>
std::enable_if<std::is_pod<sfinae_at>::value>::type destroy_at(at*)

The std::destroy_at alternative for C++11.

template<typename at, typename sfinae_at = at>
std::enable_if<!std::is_pod<sfinae_at>::value>::type destroy_at(at *obj)

template<typename at, typename sfinae_at = at>
std::enable_if<std::is_pod<sfinae_at>::value>::type construct_at(at*)

The std::construct_at alternative for C++11.

template<typename at, typename sfinae_at = at>
std::enable_if<!std::is_pod<sfinae_at>::value>::type construct_at(at *obj)

template<typename element_at>
element_at default_free_value()

constexpr std::size_t default_connectivity()

Number of neighbors per graph node. Defaults to 32 in FAISS and 16 in hnswlib.

It is called M in the paper.

constexpr std::size_t default_expansion_add()

Hyper-parameter controlling the quality of indexing. Defaults to 40 in FAISS and 200 in hnswlib.

It is called efConstruction in the paper.

constexpr std::size_t default_expansion_search()

Hyper-parameter controlling the quality of search. Defaults to 16 in FAISS and 10 in hnswlib.

It is called ef in the paper.

constexpr std::size_t default_allocator_entry_bytes()

template<typename object_at>
static constexpr bool is_dummy()

Checks if the provided object has a dummy type, emulating an interface, but performing no real computation.

template<typename at>
constexpr bool has_reset()

Checks if a certain class has a member function called reset.

template<typename key_at>
inline std::size_t get_slot(member_gt<key_at> const &m) noexcept

template<typename key_at>
inline key_at get_key(member_gt<key_at> const &m) noexcept

template<typename key_at>
inline std::size_t get_slot(member_cref_gt<key_at> const &m) noexcept

template<typename key_at>
inline key_at get_key(member_cref_gt<key_at> const &m) noexcept

template<typename key_at>
inline std::size_t get_slot(member_ref_gt<key_at> const &m) noexcept

template<typename key_at>
inline key_at get_key(member_ref_gt<key_at> const &m) noexcept

template<typename men_at, typename women_at, typename men_values_at, typename women_values_at, typename men_metric_at, typename women_metric_at, typename man_to_woman_at = dummy_key_to_key_mapping_t, typename woman_to_man_at = dummy_key_to_key_mapping_t, typename executor_at = dummy_executor_t, typename progress_at = dummy_progress_t>
static join_result_t join(men_at const &men, women_at const &women, men_values_at const &men_values, women_values_at const &women_values, men_metric_at &&men_metric, women_metric_at &&women_metric, index_join_config_t config = {}, man_to_woman_at &&man_to_woman = man_to_woman_at{}, woman_to_man_at &&woman_to_man = woman_to_man_at{}, executor_at &&executor = executor_at{}, progress_at &&progress = progress_at{}) noexcept

Adapts the Male-Optimal Stable Marriage algorithm for unequal sets to perform fast one-to-one matching between two large collections of vectors, using approximate nearest neighbors search.

Parameters:

• man_to_woman – [inout] Container to map ::men keys to ::women.

• woman_to_man – [inout] Container to map ::women keys to ::men.

• executor – [in] Thread-pool to execute the job in parallel.

• progress – [in] Callback to report the execution progress.

template<typename at>
class misaligned_ref_gt

#include <index.hpp>

A reference to a misaligned memory location with a specific type. It is needed to avoid Undefined Behavior when dereferencing addresses indivisible by sizeof(at).

Public Functions

inline misaligned_ref_gt(byte_t *ptr) noexcept

inline operator mutable_t() const noexcept

inline misaligned_ref_gt &operator=(mutable_t const &v) noexcept

inline void reset(byte_t *ptr) noexcept

inline byte_t *ptr() const noexcept

Private Types

using element_t = at

using mutable_t = typename std::remove_const<element_t>::type

Private Members

byte_t *ptr_

template<typename at>
class misaligned_ptr_gt

#include <index.hpp>

A pointer to a misaligned memory location with a specific type. It is needed to avoid Undefined Behavior when dereferencing addresses indivisible by sizeof(at).

Public Types

using iterator_category = std::random_access_iterator_tag

using value_type = element_t

using difference_type = std::ptrdiff_t

using pointer = misaligned_ptr_gt<element_t>

using reference = misaligned_ref_gt<element_t>

Public Functions

inline misaligned_ptr_gt(byte_t *ptr) noexcept

inline reference operator*() const noexcept

inline reference operator[](std::size_t i) noexcept

inline value_type operator[](std::size_t i) const noexcept

inline misaligned_ptr_gt &operator++() noexcept

inline misaligned_ptr_gt &operator--() noexcept

inline misaligned_ptr_gt operator++(int) noexcept

inline misaligned_ptr_gt operator--(int) noexcept

inline misaligned_ptr_gt operator+(difference_type d) const noexcept

inline misaligned_ptr_gt operator-(difference_type d) const noexcept

inline difference_type operator-(const misaligned_ptr_gt &other) const noexcept

inline misaligned_ptr_gt &operator+=(difference_type d) noexcept

inline misaligned_ptr_gt &operator-=(difference_type d) noexcept

inline bool operator==(misaligned_ptr_gt const &other) const noexcept

inline bool operator!=(misaligned_ptr_gt const &other) const noexcept

inline bool operator<(misaligned_ptr_gt const &other) const noexcept

inline bool operator<=(misaligned_ptr_gt const &other) const noexcept

inline bool operator>(misaligned_ptr_gt const &other) const noexcept

inline bool operator>=(misaligned_ptr_gt const &other) const noexcept

Private Types

using element_t = at

using mutable_t = typename std::remove_const<element_t>::type

Private Members

byte_t *ptr_

template<typename scalar_at>
class span_gt

#include <index.hpp>

Non-owning memory range view, similar to std::span, but for C++11.

Public Functions

inline span_gt() noexcept

inline span_gt(scalar_at *begin, scalar_at *end) noexcept

inline span_gt(scalar_at *begin, std::size_t size) noexcept

inline scalar_at *data() const noexcept

inline std::size_t size() const noexcept

inline scalar_at *begin() const noexcept

inline scalar_at *end() const noexcept

inline operator scalar_at*() const noexcept

Private Members

scalar_at *data_

std::size_t size_

template<typename scalar_at, typename allocator_at = std::allocator<scalar_at>>
class buffer_gt

#include <index.hpp>

Similar to std::vector, but doesn’t support dynamic resizing. On the bright side, this can’t throw exceptions.

Public Functions

inline buffer_gt() noexcept

inline buffer_gt(std::size_t size) noexcept

inline ~buffer_gt() noexcept

inline void reset() noexcept

inline scalar_at *data() const noexcept

inline std::size_t size() const noexcept

inline scalar_at *begin() const noexcept

inline scalar_at *end() const noexcept

inline operator scalar_at*() const noexcept

inline scalar_at &operator[](std::size_t i) noexcept

inline scalar_at const &operator[](std::size_t i) const noexcept

inline explicit operator bool() const noexcept

inline scalar_at *release() noexcept

buffer_gt(buffer_gt const&) = delete

buffer_gt &operator=(buffer_gt const&) = delete

inline buffer_gt(buffer_gt &&other) noexcept

inline buffer_gt &operator=(buffer_gt &&other) noexcept

Private Members

scalar_at *data_

std::size_t size_

class error_t

#include <index.hpp>

A lightweight error class for handling error messages, which are expected to be allocated in static memory.

Public Functions

inline error_t() noexcept

inline error_t(char const *message) noexcept

inline error_t &operator=(char const *message) noexcept

error_t(error_t const&) = delete

error_t &operator=(error_t const&) = delete

inline error_t(error_t &&other) noexcept

inline error_t &operator=(error_t &&other) noexcept

inline explicit operator bool() const noexcept

Checks if there was an error.

inline char const *what() const noexcept

Returns the error message.

inline char const *release() noexcept

Releases the error message, meaning the caller takes ownership.

inline ~error_t() noexcept

Destructor terminates if an error was recorded.

inline void raise() noexcept

Terminates if an error was recorded.

Private Members

char const *message_ = {}

template<typename result_at>
struct expected_gt

#include <index.hpp>

Similar to std::expected in C++23, wraps a statement evaluation result, or an error. It’s used to avoid raising exception, and gracefully propagate the error.

Template Parameters:

result_at – The type of the expected result.

Public Functions

inline operator result_at&() &

inline operator result_at&&() &&

inline result_at const &operator*() const noexcept

inline explicit operator bool() const noexcept

inline expected_gt failed(error_t message) noexcept

Public Members

result_at result

error_t error

template<typename allocator_at = std::allocator<byte_t>>
class bitset_gt

#include <index.hpp>

Light-weight bitset implementation to sync nodes updates during graph mutations. Extends basic functionality with atomic operations.

Public Functions

inline bitset_gt() noexcept

inline ~bitset_gt() noexcept

inline explicit operator bool() const noexcept

inline void clear() noexcept

inline void reset() noexcept

inline bitset_gt(std::size_t capacity) noexcept

inline bitset_gt(bitset_gt &&other) noexcept

inline bitset_gt &operator=(bitset_gt &&other) noexcept

bitset_gt(bitset_gt const&) = delete

bitset_gt &operator=(bitset_gt const&) = delete

inline bool test(std::size_t i) const noexcept

inline bool set(std::size_t i) noexcept

inline bool atomic_set(std::size_t i) noexcept

inline void atomic_reset(std::size_t i) noexcept

inline lock_t lock(std::size_t i) noexcept

Private Types

using allocator_t = allocator_at

using byte_t = typename allocator_t::value_type

using compressed_slot_t = unsigned long

Private Members

compressed_slot_t *slots_ = {}

std::size_t count_ = {}

Number of slots.

Private Static Functions

static inline constexpr std::size_t bits_per_slot()

static inline constexpr compressed_slot_t bits_mask()

static inline constexpr std::size_t slots(std::size_t bits)

class lock_t

#include <index.hpp>

Public Functions

inline ~lock_t() noexcept

inline lock_t(bitset_gt &bitset, std::size_t bit_offset) noexcept

Private Members

bitset_gt &bitset_

std::size_t bit_offset_

template<typename element_at, typename comparator_at = std::less<void>, typename allocator_at = std::allocator<element_at>>
class max_heap_gt

#include <index.hpp>

Similar to std::priority_queue, but allows raw access to underlying memory, in case you want to shuffle it or sort. Good for collections from 100s to 10’000s elements.

In a max-heap, the heap property ensures that the value of each node is greater than or equal to the values of its children. This means that the largest element is always at the root of the heap.

Structures

There are several designs of heaps. Binary heaps are the simplest & most common variant, that is easy to implement as a succint array. However, they are not the most efficient for all operations. Most importantly, melding (merging) of two heaps has linear complexity in time.

+————–&#8212;+——&#8212;+——–&#8212;+——&#8212;+———–&#8212;+——&#8212;+ | Operation | find-max| delete-max| insert | increase-key | meld | +————–&#8212;+——&#8212;+——–&#8212;+——&#8212;+———–&#8212;+——&#8212;+ | Binary | Θ(1) | Θ(log n) | O(log n)| O(log n) | Θ(n) | | Leftist | Θ(1) | Θ(log n) | O(log n)| Θ(log n) | Θ(log n)| | Binomial | Θ(1) | Θ(log n) | Θ(1) | Θ(log n) | O(log n)| | Skew binomial | Θ(1) | Θ(log n) | Θ(1) | O(log n) | O(log n)| | Pairing | Θ(1) | O(log n) | Θ(1) | o(log n) | Θ(1) | | Rank-pairing | Θ(1) | O(log n) | Θ(1) | Θ(1) | Θ(1) | | Fibonacci | Θ(1) | O(log n) | Θ(1) | Θ(1) | Θ(1) | | Strict Fibonacci| Θ(1) | O(log n) | Θ(1) | Θ(1) | Θ(1) | | Brodal | Θ(1) | Θ(log n) | Θ(1) | Θ(1) | Θ(1) | | 2–3 heap | Θ(1) | O(log n) | Θ(1) | Θ(1) | O(log n)| +————–&#8212;+——&#8212;+——–&#8212;+——&#8212;+———–&#8212;+——&#8212;+

It’s well known, that improved priority queue structures translate into better graph-transversal algorithms. For example, Dijkstra’s algorithm can be sped up by using a Fibonacci heap for arbitrary weights. For integer weight bounded by L, Schrijver reported following time complexities in 2004:

+———&#8212;+———————————-&#8212;+————————-&#8212;+———————–&#8212;+ | Weights | Algorithm | Time complexity | Author | +———&#8212;+———————————-&#8212;+————————-&#8212;+———————–&#8212;+ | R | | O(V^2 EL) | Ford 1956 | | R | Bellman–Ford algorithm | O(VE) | Shimbel 1955, Bellman | | | | | 1958, Moore 1959 | | R | | O(V^2 log V) | Dantzig 1960 | | R | Dijkstra’s with list | O(V^2) | Leyzorek et al. 1957, | | | | | Dijkstra 1959… | | R | Dijkstra’s with binary heap | O((E + V) log V) | Johnson 1977 | | R | Dijkstra’s with Fibonacci heap | O(E + V log V) | Fredman & Tarjan 1984, | | | | | Fredman & Tarjan 1987 | | R | Quantum Dijkstra | O(√VE log^2 V) | Dürr et al. 2006 | | R | Dial’s algorithm (Dijkstra’s using | O(E + LV) | Dial 1969 | | | a bucket queue with L buckets) | | | | N | | O(E log log L) | Johnson 1981, Karlsson & | | | | | Poblete 1983 | | N | Gabow’s algorithm | O(E log_E/V L) | Gabow 1983, Gabow 1985 | | N | | O(E + V √log L) | Ahuja et al. 1990 | | N | Thorup | O(E + V log log V) | Thorup 2004 | +———&#8212;+———————————-&#8212;+————————-&#8212;+———————–&#8212;+

Possible improvements:

• Randomized meldable heaps: https://en.wikipedia.org/wiki/Randomized_meldable_heap

• D-ary heaps: https://en.wikipedia.org/wiki/D-ary_heap

• B-heap: https://en.wikipedia.org/wiki/B-heap

Public Types

using element_t = element_at

using comparator_t = comparator_at

using allocator_t = allocator_at

using value_type = element_t

Public Functions

inline max_heap_gt() noexcept

inline max_heap_gt(max_heap_gt &&other) noexcept

inline max_heap_gt &operator=(max_heap_gt &&other) noexcept

max_heap_gt(max_heap_gt const&) = delete

max_heap_gt &operator=(max_heap_gt const&) = delete

inline ~max_heap_gt() noexcept

inline void reset() noexcept

inline bool empty() const noexcept

inline std::size_t size() const noexcept

inline std::size_t capacity() const noexcept

inline element_t *data() noexcept

inline element_t const *data() const noexcept

inline void clear() noexcept

inline void shrink(std::size_t n) noexcept

inline element_t const &top() const noexcept

Selects the largest element in the heap.

Returns:

Reference to the stored element.

inline void sort_ascending() noexcept

Invalidates the “max-heap” property, transforming into ascending range.

inline usearch_profiled_m bool reserve (std::size_t new_capacity) noexcept

Ensures the heap has enough capacity for the specified number of elements.

Parameters:

new_capacity – The desired minimum capacity.

Returns:

True if the capacity was successfully increased, false otherwise.

inline bool insert(element_t &&element) noexcept

Inserts an element into the heap.

Parameters:

element – The element to be inserted.

Returns:

True if the element was successfully inserted, false otherwise.

inline usearch_profiled_m void insert_reserved (element_t &&element) noexcept

Inserts an element into the heap without reserving additional space.

Parameters:

element – The element to be inserted.

inline bool insert_many(element_t const *elements) noexcept

Inserts multiple elements into the heap.

Parameters:

elements – Pointer to the elements to be inserted.

Returns:

True if the elements were successfully inserted, false otherwise.

inline usearch_profiled_m element_t pop () noexcept

Private Functions

inline void shift_up(std::size_t i) noexcept

Shifts an element up to maintain the heap property. This operation is called when a new element is added at the end of the heap. The element is moved up until the heap property is restored.

Parameters:

i – Index of the element to be shifted up.

inline void shift_down(std::size_t i) noexcept

Shifts an element down to maintain the heap property. This operation is called when the root element is removed and the last element is moved to the root. The element is moved down until the heap property is restored.

Parameters:

i – Index of the element to be shifted down.

Private Members

element_t *elements_

std::size_t size_

std::size_t capacity_

Private Static Functions

static inline std::size_t parent_idx(std::size_t i) noexcept

static inline std::size_t left_child_idx(std::size_t i) noexcept

static inline std::size_t right_child_idx(std::size_t i) noexcept

static inline bool less(element_t const &a, element_t const &b) noexcept

template<typename element_at, typename comparator_at = std::less<void>, typename allocator_at = std::allocator<element_at>>
class sorted_buffer_gt

#include <index.hpp>

Similar to std::priority_queue, but allows raw access to underlying memory and always keeps the data sorted. Ideal for small collections under 128 elements.

Public Types

using element_t = element_at

using comparator_t = comparator_at

using allocator_t = allocator_at

using value_type = element_t

Public Functions

inline sorted_buffer_gt() noexcept

inline sorted_buffer_gt(sorted_buffer_gt &&other) noexcept

inline sorted_buffer_gt &operator=(sorted_buffer_gt &&other) noexcept

sorted_buffer_gt(sorted_buffer_gt const&) = delete

sorted_buffer_gt &operator=(sorted_buffer_gt const&) = delete

inline ~sorted_buffer_gt() noexcept

inline void reset() noexcept

inline bool empty() const noexcept

inline std::size_t size() const noexcept

inline std::size_t capacity() const noexcept

inline element_t const &top() const noexcept

inline void clear() noexcept

inline bool reserve(std::size_t new_capacity) noexcept

inline void insert_reserved(element_t &&element) noexcept

inline bool insert(element_t &&element, std::size_t limit) noexcept

Returns:

true if the entry was added, false if it wasn’t relevant enough.

inline element_t pop() noexcept

inline void sort_ascending() noexcept

inline void shrink(std::size_t n) noexcept

inline element_t *data() noexcept

inline element_t const *data() const noexcept

Private Members

element_t *elements_

std::size_t size_

std::size_t capacity_

Private Static Functions

static inline bool less(element_t const &a, element_t const &b) noexcept

class uint40_t

#include <index.hpp>

Five-byte integer type to address node clouds with over 4B entries.

40 bits is enough to address a Trillion entries potentially colocated on 1 machine. At roughly 5 bytes * 20 neighbors + 100 bytes per entry, this translates to 200 TB of data, which is similar to a single-server capacity of modern NVME arrays.

Public Functions

inline uint40_t() noexcept

inline uint40_t(std::uint32_t n) noexcept

inline uint40_t(std::uint64_t n) noexcept

uint40_t(uint40_t&&) = default

uint40_t(uint40_t const&) = default

uint40_t &operator=(uint40_t&&) = default

uint40_t &operator=(uint40_t const&) = default

inline operator std::size_t() const noexcept

inline bool operator==(uint40_t const &other) const noexcept

inline bool operator!=(uint40_t const &other) const noexcept

inline bool operator>(uint40_t const &other) const noexcept

inline bool operator<=(uint40_t const &other) const noexcept

inline bool operator>=(uint40_t const &other) const noexcept

inline bool operator<(uint40_t const &other) const noexcept

Public Static Functions

static inline uint40_t max() noexcept

static inline uint40_t min() noexcept

Private Functions

inline uint40_t &broadcast(unsigned char c)

Private Members

unsigned char octets[5]

template<typename element_at>
struct default_free_value_gt

#include <index.hpp>

Reflection-helper to get the default “unused” value for a given type. Needed to initialize hash-sets and bit-sets.

Public Static Functions

template<typename sfinae_element_at = element_at, typename std::enable_if<std::is_integral<sfinae_element_at>::value>::type* = nullptr>
static inline sfinae_element_at value() noexcept

template<typename sfinae_element_at = element_at, typename std::enable_if<!std::is_integral<sfinae_element_at>::value>::type* = nullptr>
static inline sfinae_element_at value() noexcept

template<>
struct default_free_value_gt<uint40_t>

#include <index.hpp>

Public Static Functions

static inline uint40_t value() noexcept

template<typename element_at>
struct hash_gt

#include <index.hpp>

Adapter to allow definining arbitrary hash functions for keys and slots. It’s added, as overloading std::hash is not recommended by the standard.

Public Functions

inline std::size_t operator()(element_at const &element) const noexcept

template<>
struct hash_gt<uint40_t>

#include <index.hpp>

Public Functions

inline std::size_t operator()(uint40_t const &element) const noexcept

template<typename element_at, typename hasher_at = hash_gt<element_at>, typename allocator_at = std::allocator<byte_t>>
class growing_hash_set_gt

#include <index.hpp>

Minimalistic hash-set implementation to track visited nodes during graph traversal. In our primary usecase, its a sparse alternative to a bit-set.

It doesn’t support deletion of separate objects, but supports clear-ing all at once. It expects reserve to be called ahead of all insertions, so no resizes are needed. It also assumes 0xFF...FF slots to be unused, to simplify the design. It uses linear probing, the number of slots is always a power of two, and it uses linear-probing in case of bucket collisions.

Public Functions

inline growing_hash_set_gt() noexcept

inline ~growing_hash_set_gt() noexcept

inline explicit operator bool() const noexcept

inline std::size_t size() const noexcept

inline void clear() noexcept

inline void reset() noexcept

inline growing_hash_set_gt(std::size_t capacity) noexcept

inline growing_hash_set_gt(growing_hash_set_gt &&other) noexcept

inline growing_hash_set_gt &operator=(growing_hash_set_gt &&other) noexcept

growing_hash_set_gt(growing_hash_set_gt const&) = delete

growing_hash_set_gt &operator=(growing_hash_set_gt const&) = delete

inline bool test(element_t const &elem) const noexcept

Checks if the element is already in the hash-set.

Returns:

true if the element is already in the hash-set.

inline bool set(element_t const &elem) noexcept

Inserts an element into the hash-set.

Returns:

Similar to bitset_gt, returns the previous value.

inline bool reserve(std::size_t new_capacity) noexcept

Extends the capacity of the hash-set.

Returns:

true if enough capacity is available, false if memory allocation failed.

Private Types

using element_t = element_at

using hasher_t = hasher_at

using allocator_t = allocator_at

using byte_t = typename allocator_t::value_type

Private Members

element_t *slots_ = {}

std::size_t capacity_ = {}

Number of slots.

std::size_t count_ = {}

Number of populated.

hasher_t hasher_ = {}

template<typename element_at, typename allocator_at = std::allocator<element_at>>
class ring_gt

#include <index.hpp>

Basic single-threaded ring class, used for all kinds of task queues.

Public Types

using element_t = element_at

using allocator_t = allocator_at

using value_type = element_t

Public Functions

inline explicit ring_gt(allocator_t const &alloc = allocator_t()) noexcept

ring_gt(ring_gt const&) = delete

ring_gt &operator=(ring_gt const&) = delete

inline ring_gt(ring_gt &&other) noexcept

inline ring_gt &operator=(ring_gt &&other) noexcept

inline void swap(ring_gt &other) noexcept

inline ~ring_gt() noexcept

inline bool empty() const noexcept

inline size_t capacity() const noexcept

inline size_t size() const noexcept

inline void clear() noexcept

inline void reset() noexcept

inline bool reserve(std::size_t n) noexcept

inline void push (element_t const &value) usearch_noexcept_m

inline bool try_push(element_t const &value) noexcept

inline bool try_pop(element_t &value) noexcept

inline element_t const &operator[](std::size_t i) const noexcept

Private Members

element_t *elements_ = {}

std::size_t capacity_ = {}

std::size_t head_ = {}

std::size_t tail_ = {}

bool empty_ = {true}

allocator_t allocator_ = {}

struct index_config_t

#include <index.hpp>

Configuration settings for the index construction. Includes the main ::connectivity parameter (M in the paper) and two expansion factors - for construction and search.

Subclassed by unum::usearch::index_dense_config_t

Public Functions

inline index_config_t() = default

inline index_config_t(std::size_t c, std::size_t cb = 0) noexcept

inline error_t validate() noexcept

Validates the configuration settings, updating them in-place.

Returns:

Error message, if any.

inline bool is_valid() const noexcept

Immutable function to check if the configuration is valid.

Returns:

true if the configuration is valid.

Public Members

std::size_t connectivity = default_connectivity()

Number of neighbors per graph node. Defaults to 32 in FAISS and 16 in hnswlib.

It is called M in the paper.

std::size_t connectivity_base = default_connectivity() * 2

Number of neighbors per graph node in base level graph. Defaults to double of the other levels, so 64 in FAISS and 32 in hnswlib.

It is called M0 in the paper.

struct index_limits_t

#include <index.hpp>

Growth settings for the index container. Includes the upper bound for ::members capacity, and the number of read/write threads expected to work with the index.

Public Functions

inline index_limits_t(std::size_t n, std::size_t t) noexcept

inline index_limits_t(std::size_t n = 0) noexcept

inline std::size_t threads() const noexcept

Returns the upper limit for the number of threads.

inline std::size_t concurrency() const noexcept

Returns the concurrency-level of the index - the minimum of thread counts.

Public Members

std::size_t members = 0

Maximum number of entries in the index.

std::size_t threads_add = std::thread::hardware_concurrency()

Max number of threads simultaneously updating entries.

std::size_t threads_search = std::thread::hardware_concurrency()

Max number of threads simultaneously searching entries.

struct index_update_config_t

#include <index.hpp>

Public Members

std::size_t expansion = default_expansion_add()

Hyper-parameter controlling the quality of indexing. Defaults to 40 in FAISS and 200 in hnswlib.

It is called efConstruction in the paper.

std::size_t thread = 0

Optional thread identifier for multi-threaded construction.

struct index_search_config_t

#include <index.hpp>

Public Members

std::size_t expansion = default_expansion_search()

Hyper-parameter controlling the quality of search. Defaults to 16 in FAISS and 10 in hnswlib.

It is called ef in the paper.

std::size_t thread = 0

Optional thread identifier for multi-threaded construction.

bool exact = false

Brute-forces exhaustive search over all entries in the index.

struct index_cluster_config_t

#include <index.hpp>

Public Members

std::size_t expansion = default_expansion_search()

Hyper-parameter controlling the quality of search. Defaults to 16 in FAISS and 10 in hnswlib.

It is called ef in the paper.

std::size_t thread = 0

Optional thread identifier for multi-threaded construction.

struct index_copy_config_t

#include <index.hpp>

Subclassed by unum::usearch::index_dense_copy_config_t

struct index_join_config_t

#include <index.hpp>

Public Members

std::size_t max_proposals = 0

Controls maximum number of proposals per man during stable marriage.

std::size_t expansion = default_expansion_search()

Hyper-parameter controlling the quality of search. Defaults to 16 in FAISS and 10 in hnswlib.

It is called ef in the paper.

bool exact = false

Brute-forces exhaustive search over all entries in the index.

struct dummy_predicate_t

#include <index.hpp>

An example of what a USearch-compatible ad-hoc filter would look like.

A similar function object can be passed to search queries to further filter entries on their auxiliary properties, such as some categorical keys stored in an external DBMS.

Public Functions

template<typename member_at>
inline constexpr bool operator()(member_at&&) const noexcept

struct dummy_callback_t

#include <index.hpp>

An example of what a USearch-compatible ad-hoc operation on in-flight entries.

This kind of callbacks is used when the engine is being updated and you want to patch the entries, while their are still under locks - limiting concurrent access and providing consistency.

Public Functions

template<typename member_at>
inline void operator()(member_at&&) const noexcept

struct dummy_progress_t

#include <index.hpp>

An example of what a USearch-compatible progress-bar should look like.

This is particularly helpful when handling long-running tasks, like serialization, saving, and loading from disk, or index-level joins. The reporter checks return value to continue or stop the process, false means need to stop.

Public Functions

inline bool operator()(std::size_t, std::size_t) const noexcept

struct dummy_prefetch_t

#include <index.hpp>

An example of what a USearch-compatible values prefetching mechanism should look like.

USearch is designed to handle very large datasets, that may not fir into RAM. Fetching from external memory is very expensive, so we’ve added a pre-fetching mechanism, that accepts multiple objects at once, to cache in RAM ahead of the computation. The received iterators support both get_slot and get_key operations. An example usage may look like this:

template <typename member_citerator_like_at>
inline void operator()(member_citerator_like_at, member_citerator_like_at) const noexcept {
    for (; begin != end; ++begin)
        io_uring_prefetch(offset_in_file(get_key(begin)));
}

Public Functions

template<typename member_citerator_like_at>
inline void operator()(member_citerator_like_at, member_citerator_like_at) const noexcept

struct dummy_executor_t

#include <index.hpp>

An example of what a USearch-compatible executor (thread-pool) should look like.

It’s expected to have parallel(callback) API to schedule one task per thread; an identical fixed(count, callback) and dynamic(count, callback) overloads that also accepts the number of tasks, and somehow schedules them between threads; as well as size() to determine the number of available threads.

Public Functions

inline dummy_executor_t() noexcept

inline std::size_t size() const noexcept

template<typename thread_aware_function_at>
inline void fixed(std::size_t tasks, thread_aware_function_at &&thread_aware_function) noexcept

template<typename thread_aware_function_at>
inline void dynamic(std::size_t tasks, thread_aware_function_at &&thread_aware_function) noexcept

template<typename thread_aware_function_at>
inline void parallel(thread_aware_function_at &&thread_aware_function) noexcept

struct dummy_key_to_key_mapping_t

#include <index.hpp>

An example of what a USearch-compatible key-to-key mapping should look like.

This is particularly helpful for “Semantic Joins”, where we map entries of one collection to entries of another. In asymmetric setups, where A -> B is needed, but B -> A is not, this can be passed to minimize memory usage.

Public Functions

template<typename key_at>
inline member_ref_t operator[](key_at&&) const noexcept

struct member_ref_t

#include <index.hpp>

Public Functions

template<typename key_at>
inline member_ref_t &operator=(key_at&&) noexcept

template<typename, typename at>
struct has_reset_gt

#include <index.hpp>

template<typename check_at, typename return_at, typename ...args_at>
struct has_reset_gt<check_at, return_at(args_at...)>

#include <index.hpp>

Public Static Attributes

static constexpr bool value = type::value

Private Members

decltype(check< check_at >(0)) typedef type

Private Static Functions

template<typename at>
static constexpr auto check(at*) -> typename std::is_same<decltype(std::declval<at>().reset(std::declval<args_at>()...)), return_at>::type

template<typename>
static constexpr std::false_type check(...)

struct serialization_result_t

#include <index.hpp>

Public Functions

inline explicit operator bool() const noexcept

inline serialization_result_t failed(error_t message) noexcept

Public Members

error_t error

class output_file_t

#include <index.hpp>

Smart-pointer wrapping the LibC for binary file outputs.

This class raises no exceptions and corresponds errors through serialization_result_t. The class automatically closes the file when the object is destroyed.

Public Functions

inline output_file_t(char const *path) noexcept

inline ~output_file_t() noexcept

inline output_file_t(output_file_t &&other) noexcept

inline output_file_t &operator=(output_file_t &&other) noexcept

inline serialization_result_t open_if_not() noexcept

inline serialization_result_t write(void const *begin, std::size_t length) noexcept

inline void close() noexcept

Private Members

char const *path_ = nullptr

std::FILE *file_ = nullptr

class input_file_t

#include <index.hpp>

Smart-pointer wrapping the LibC for binary files inputs.

This class raises no exceptions and corresponds errors through serialization_result_t. The class automatically closes the file when the object is destroyed.

Public Functions

inline input_file_t(char const *path) noexcept

inline ~input_file_t() noexcept

inline input_file_t(input_file_t &&other) noexcept

inline input_file_t &operator=(input_file_t &&other) noexcept

inline serialization_result_t open_if_not() noexcept

inline serialization_result_t read(void *begin, std::size_t length) noexcept

inline void close() noexcept

inline explicit operator bool() const noexcept

inline bool seek_to(std::size_t progress) noexcept

inline bool seek_to_end() noexcept

inline bool infer_progress(std::size_t &progress) noexcept

Private Members

char const *path_ = nullptr

std::FILE *file_ = nullptr

class memory_mapped_file_t

#include <index.hpp>

Represents a memory-mapped file or a pre-allocated anonymous memory region.

This class provides a convenient way to memory-map a file and access its contents as a block of memory. The class handles platform-specific memory-mapping operations on Windows, Linux, and MacOS. The class automatically closes the file when the object is destroyed.

Public Functions

inline explicit operator bool() const noexcept

inline byte_t *data() noexcept

inline byte_t const *data() const noexcept

inline std::size_t size() const noexcept

inline memory_mapped_file_t() noexcept

inline memory_mapped_file_t(char const *path) noexcept

inline ~memory_mapped_file_t() noexcept

inline memory_mapped_file_t(memory_mapped_file_t &&other) noexcept

inline memory_mapped_file_t(byte_t *data, std::size_t length) noexcept

inline memory_mapped_file_t &operator=(memory_mapped_file_t &&other) noexcept

inline serialization_result_t open_if_not() noexcept

inline void close() noexcept

Private Members

char const *path_ = {}

The path to the file to be memory-mapped.

void *ptr_ = {}

A pointer to the memory-mapping.

size_t length_ = {}

The length of the memory-mapped file in bytes.

int file_descriptor_ = {}

The file descriptor on Linux and MacOS.

struct index_serialized_header_t

#include <index.hpp>

Metadata header for the serialized index.

This structure is very minimalistic by design. It contains no information about the capacity of the index, so you’ll have to reserve after loading. It also contains no info on the metric or key types, so you’ll have to store that information elsewhere, like we do in index_dense_head_t.

Public Members

std::uint64_t size = 0

std::uint64_t connectivity = 0

std::uint64_t connectivity_base = 0

std::uint64_t max_level = 0

std::uint64_t entry_slot = 0

template<typename key_at = default_key_t>
struct member_gt

#include <index.hpp>

Public Members

key_at key

std::size_t slot

template<typename key_at = default_key_t>
struct member_cref_gt

#include <index.hpp>

Public Members

misaligned_ref_gt<key_at const> key

std::size_t slot

template<typename key_at = default_key_t>
struct member_ref_gt

#include <index.hpp>

Public Functions

inline operator member_cref_gt<key_at>() const noexcept

Public Members

misaligned_ref_gt<key_at> key

std::size_t slot

template<typename distance_at = default_distance_t, typename key_at = default_key_t, typename compressed_slot_at = default_slot_t, typename dynamic_allocator_at = std::allocator<byte_t>, typename tape_allocator_at = dynamic_allocator_at>
class index_gt

#include <index.hpp>

Approximate Nearest Neighbors Search index-structure using the Hierarchical Navigable Small World (HNSW) graphs algorithm. If classical containers store Key->Value mappings, this one can be seen as a network of keys, accelerating approximate Value~>Key visited_members.

Unlike most implementations, this one is generic anc can be used for any search, not just within equi-dimensional vectors. Examples range from Texts to similar Chess positions, Geo-Spatial Search, and even Graphs.

Features

- Thread-safe for concurrent construction, search, and updates.
- Doesn't allocate new threads, and reuses the ones its called from.
- Allows storing value externally, managing just the similarity index.
- Joins.

Usage

Exceptions

None of the methods throw exceptions in the “Release” compilation mode. It may only throw if your memory ::dynamic_allocator_at or ::metric_at isn’t safe to copy.

Serialization

When serialized, doesn’t include any additional metadata. It is just the multi-level proximity-graph. You may want to store metadata about the used metric and key types somewhere else.

Details

Like every HNSW implementation, USearch builds levels of “Proximity Graphs”. Every added vector forms a node in one or more levels of the graph. Every node is present in the base level. Every following level contains a smaller fraction of nodes. During search, the operation starts with the smaller levels and zooms-in on every following iteration of larger graph traversals.

Just one memory allocation is performed regardless of the number of levels. The adjacency lists across all levels are concatenated into that single buffer. That buffer starts with a “head”, that stores the metadata, such as the tallest “level” of the graph that it belongs to, the external “key”, and the number of “dimensions” in the vector.

, Predicates and Callbacks

References and Iterators

-   `member_citerator_t` and `member_iterator_t` have only slots, no indirections.

-   `member_cref_t` and `member_ref_t` contains the `slot` and a reference
    to the key. So it passes through 1 level of visited_members in `nodes_`.
    Retrieving the key via `get_key` will cause fetching yet another cache line.

-   `member_gt` contains an already prefetched copy of the key.

Template Parameters:

• key_at – The type of primary objects stored in the index. The values, to which those map, are not managed by the same index structure.

• compressed_slot_at – The smallest unsigned integer type to address indexed elements. It is used internally to maximize space-efficiency and is generally up-casted to in public interfaces. Can be a built-in , uint64_t, or our custom . Which makes the most sense for 4B+ entry indexes.

• dynamic_allocator_at – Dynamic memory allocator for temporary buffers, visits indicators, and priority queues, needed during construction and traversals of graphs. The allocated buffers may be uninitialized.

• tape_allocator_at – Potentially different memory allocator for primary allocations of nodes and vectors. It would never deallocate separate entries, and would only free all the space at once. The allocated buffers may be uninitialized.

Public Types

using distance_t = distance_at

using vector_key_t = key_at

using key_t = vector_key_t

using compressed_slot_t = compressed_slot_at

using dynamic_allocator_t = dynamic_allocator_at

using tape_allocator_t = tape_allocator_at

using member_cref_t = member_cref_gt<vector_key_t>

using member_ref_t = member_ref_gt<vector_key_t>

using member_iterator_t = member_iterator_gt<member_ref_t, index_gt>

using member_citerator_t = member_iterator_gt<member_cref_t, index_gt const>

using value_type = vector_key_t

using allocator_type = dynamic_allocator_t

using size_type = std::size_t

using difference_type = std::ptrdiff_t

using reference = member_ref_t

using const_reference = member_cref_t

using pointer = void

using const_pointer = void

using iterator = member_iterator_t

using const_iterator = member_citerator_t

using reverse_iterator = std::reverse_iterator<member_iterator_t>

using reverse_const_iterator = std::reverse_iterator<member_citerator_t>

using dynamic_allocator_traits_t = std::allocator_traits<dynamic_allocator_t>

using byte_t = typename dynamic_allocator_t::value_type

using tape_allocator_traits_t = std::allocator_traits<tape_allocator_t>

using copy_result_t = state_result_t

Public Functions

inline std::size_t connectivity() const noexcept

inline std::size_t capacity() const noexcept

inline std::size_t size() const noexcept

inline std::size_t max_level() const noexcept

inline index_config_t const &config() const noexcept

inline index_limits_t const &limits() const noexcept

inline bool is_immutable() const noexcept

inline explicit operator bool() const noexcept

inline explicit index_gt(dynamic_allocator_t dynamic_allocator = {}, tape_allocator_t tape_allocator = {}) noexcept(false)

Default index constructor, suitable only for stateless allocators.

Exceptions

Doesn’t throw, unless the ::dynamic_allocator’s and ::tape_allocator’s throw on move-construction.

Warning

Consider index_gt::make instead, or explicitly convert to bool to check if the index is valid.

inline explicit index_gt(index_config_t config, dynamic_allocator_t dynamic_allocator = {}, tape_allocator_t tape_allocator = {}) noexcept(false)

Default index constructor, suitable only for stateless allocators.

Exceptions

Doesn’t throw, unless the ::dynamic_allocator’s and ::tape_allocator’s throw on move-construction.

Warning

Consider index_gt::make instead, or explicitly convert to bool to check if the index is valid.

inline index_gt fork() noexcept

Clones the structure with the same hyper-parameters, but without contents.

inline ~index_gt() noexcept

inline index_gt(index_gt &&other) noexcept

inline index_gt &operator=(index_gt &&other) noexcept

inline copy_result_t copy(index_copy_config_t config = {}) const noexcept

The recommended way to copy the index, as unlike the copy-constructor, it can fail with an error message, without raising an exception.

Parameters:

config – [in] The configuration specs for the copy-operation. Currently unused.

inline member_citerator_t cbegin() const noexcept

inline member_citerator_t cend() const noexcept

inline member_citerator_t begin() const noexcept

inline member_citerator_t end() const noexcept

inline member_iterator_t begin() noexcept

inline member_iterator_t end() noexcept

inline member_ref_t at(compressed_slot_t slot) noexcept

inline member_cref_t at(compressed_slot_t slot) const noexcept

inline member_iterator_t iterator_at(compressed_slot_t slot) noexcept

inline member_citerator_t citerator_at(compressed_slot_t slot) const noexcept

inline dynamic_allocator_t const &dynamic_allocator() const noexcept

inline tape_allocator_t const &tape_allocator() const noexcept

inline void clear() noexcept

Erases all the vectors from the index.

Will change size() to zero, but will keep the same capacity(). Will keep the number of available threads/contexts the same as it was.

inline void reset() noexcept

Erases all members from index, closing files, and returning RAM to OS.

Will change both size() and capacity() to zero. Will deallocate all threads/contexts. If the index is memory-mapped - releases the mapping and the descriptor.

inline void swap(index_gt &other) noexcept

Swaps the underlying memory buffers and thread contexts.

inline bool try_reserve (index_limits_t limits) usearch_noexcept_m

Increases the capacity() of the index to allow adding more vectors.

Returns:

true on success, false on memory allocation errors.

inline bool reserve (index_limits_t limits) usearch_noexcept_m

Increases the capacity() of the index to allow adding more vectors.

Warning

Unlike STL, won’t throw exceptions on memory allocations, so check the return value.

Returns:

true on success, false on memory allocation errors.

template<typename value_at, typename metric_at, typename callback_at = dummy_callback_t, typename prefetch_at = dummy_prefetch_t> inline add_result_t add (vector_key_t key, value_at &&value, metric_at &&metric, index_update_config_t config={}, callback_at &&callback=callback_at{}, prefetch_at &&prefetch=prefetch_at{}) usearch_noexcept_m

Inserts a new entry into the index. Thread-safe. Supports heterogeneous lookups. Expects needed capacity to be reserved ahead of time: size() < capacity().

Template Parameters:

metric_at – A function responsible for computing the distance (dis-similarity) between two objects. It should be callable into distinctly different scenarios:

• distance_t operator() (value_at, entry_at) - from new object to existing entries.

• distance_t operator() (entry_at, entry_at) - between existing entries. Where any possible entry_at has both two interfaces: std::size_t slot(), vector_key_t key().

Parameters:

• key – [in] External identifier/name/descriptor for the new entry.

• value – [in] Content that will be compared against other entries to index.

• metric – [in] Callable object measuring distance between ::value and present objects.

• config – [in] Configuration options for this specific operation.

• callback – [in] On-success callback, executed while the member_ref_t is still under lock.

template<typename value_at, typename metric_at, typename callback_at = dummy_callback_t, typename prefetch_at = dummy_prefetch_t> inline add_result_t update (member_iterator_t iterator, vector_key_t key, value_at &&value, metric_at &&metric, index_update_config_t config={}, callback_at &&callback=callback_at{}, prefetch_at &&prefetch=prefetch_at{}) usearch_noexcept_m

Update an existing entry. Thread-safe. Supports heterogeneous lookups.

! It’s assumed that different threads aren’t updating the same entry at the same time. ! The state won’t be corrupted, but no transactional guarantees are provided and the ! resulting value & neighbors list may be inconsistent.

Template Parameters:

metric_at – A function responsible for computing the distance (dis-similarity) between two objects. It should be callable into distinctly different scenarios:

• distance_t operator() (value_at, entry_at) - from new object to existing entries.

• distance_t operator() (entry_at, entry_at) - between existing entries. For any possible entry_at following interfaces will work:

• std::size_t get_slot(entry_at const &)

• vector_key_t get_key(entry_at const &)

Parameters:

• iterator – [in] Iterator pointing to an existing entry to be replaced.

• key – [in] External identifier/name/descriptor for the entry.

• value – [in] Content that will be compared against other entries in the index.

• metric – [in] Callable object measuring distance between ::value and present objects.

• config – [in] Configuration options for this specific operation.

• callback – [in] On-success callback, executed while the member_ref_t is still under lock.

template<typename value_at, typename metric_at, typename predicate_at = dummy_predicate_t, typename prefetch_at = dummy_prefetch_t> inline search_result_t search (value_at &&query, std::size_t wanted, metric_at &&metric, index_search_config_t config={}, predicate_at &&predicate=predicate_at{}, prefetch_at &&prefetch=prefetch_at{}) const usearch_noexcept_m

Searches for the closest elements to the given ::query. Thread-safe.

Parameters:

• query – [in] Content that will be compared against other entries in the index.

• wanted – [in] The upper bound for the number of results to return.

• config – [in] Configuration options for this specific operation.

• predicate – [in] Optional filtering predicate for member_cref_t.

Returns:

Smart object referencing temporary memory. Valid until next search(), add(), or cluster().

template<typename value_at, typename metric_at, typename predicate_at = dummy_predicate_t, typename prefetch_at = dummy_prefetch_t>
inline cluster_result_t cluster(value_at &&query, std::size_t level, metric_at &&metric, index_cluster_config_t config = {}, predicate_at &&predicate = predicate_at{}, prefetch_at &&prefetch = prefetch_at{}) const noexcept

Identifies the closest cluster to the given ::query. Thread-safe.

Parameters:

• query – [in] Content that will be compared against other entries in the index.

• level – [in] The index level to target. Higher means lower resolution.

• config – [in] Configuration options for this specific operation.

• predicate – [in] Optional filtering predicate for member_cref_t.

Returns:

Smart object referencing temporary memory. Valid until next search(), add(), or cluster().

inline stats_t stats() const noexcept

Aggregates stats on the number of nodes, edges, and memory usage across all levels.

inline stats_t stats(std::size_t level) const noexcept

Aggregates stats on the number of nodes, edges, and memory usage up to a specific level.

The level parameter is zero-based, where 0 is the base level. For example, level=1 will include the base level and the first level of connections.

inline stats_t stats(stats_t *stats_per_level, std::size_t max_level) const noexcept

Aggregates stats on the number of nodes, edges, and memory usage up to a specific level, simultaneously exporting the stats for each level into the stats_per_level C-style array.

The max_level parameter is zero-based, where 0 is the base level. For example, max_level=1 will include the base level and the first level of connections.

inline std::size_t memory_usage(std::size_t allocator_entry_bytes = default_allocator_entry_bytes()) const noexcept

A relatively accurate lower bound on the amount of memory consumed by the system. In practice it’s error will be below 10%.

See also

serialized_length for the length of the binary serialized representation.

inline std::size_t memory_usage_per_node(level_t level) const noexcept

inline double inverse_log_connectivity() const

inline std::size_t neighbors_base_bytes() const

inline std::size_t neighbors_bytes() const

inline std::size_t serialized_length() const noexcept

Estimate the binary length (in bytes) of the serialized index.

template<typename output_callback_at, typename progress_at = dummy_progress_t>
inline serialization_result_t save_to_stream(output_callback_at &&output, progress_at &&progress = {}) const noexcept

Saves serialized binary index representation to a stream.

template<typename input_callback_at, typename progress_at = dummy_progress_t>
inline serialization_result_t load_from_stream(input_callback_at &&input, progress_at &&progress = {}) noexcept

Symmetric to save_from_stream, pulls data from a stream.

template<typename progress_at = dummy_progress_t>
inline serialization_result_t save(char const *file_path, progress_at &&progress = {}) const noexcept

template<typename progress_at = dummy_progress_t>
inline serialization_result_t load(char const *file_path, progress_at &&progress = {}) noexcept

template<typename progress_at = dummy_progress_t>
inline serialization_result_t save(output_file_t file, progress_at &&progress = {}) const noexcept

Saves serialized binary index representation to a file, generally on disk.

template<typename progress_at = dummy_progress_t>
inline serialization_result_t save(memory_mapped_file_t file, std::size_t offset = 0, progress_at &&progress = {}) const noexcept

Memory-maps the serialized binary index representation from disk, without copying data into RAM, and fetching it on-demand.

template<typename progress_at = dummy_progress_t>
inline serialization_result_t load(input_file_t file, progress_at &&progress = {}) noexcept

Loads the serialized binary index representation from disk to RAM. Adjusts the configuration properties of the constructed index to match the settings in the file.

template<typename progress_at = dummy_progress_t>
inline serialization_result_t load(memory_mapped_file_t file, std::size_t offset = 0, progress_at &&progress = {}) noexcept

Loads the serialized binary index representation from disk to RAM. Adjusts the configuration properties of the constructed index to match the settings in the file.

template<typename progress_at = dummy_progress_t>
inline serialization_result_t view(memory_mapped_file_t file, std::size_t offset = 0, progress_at &&progress = {}) noexcept

Memory-maps the serialized binary index representation from disk, without copying data into RAM, and fetching it on-demand.

template<typename values_at, typename metric_at, typename slot_transition_at = dummy_key_to_key_mapping_t, typename executor_at = dummy_executor_t, typename progress_at = dummy_progress_t, typename prefetch_at = dummy_prefetch_t>
inline void compact(values_at &&values, metric_at &&metric, slot_transition_at &&slot_transition, executor_at &&executor = executor_at{}, progress_at &&progress = progress_at{}, prefetch_at &&prefetch = prefetch_at{}) noexcept

Performs compaction on the whole HNSW index, purging some entries and links to them, while also generating a more efficient mapping, putting the more frequently used entries closer together.

Parameters:

• values – [in] A []-subscriptable object, providing access to the values.

• metric – [in] Callable object measuring distance between any ::values and present objects.

• slot_transition – [in] Callable object to inform changes in slot assignments.

• executor – [in] Thread-pool to execute the job in parallel.

• progress – [in] Callback to report the execution progress.

• prefetch – [in] Callable object to prefetch data into the cache.

template<typename allow_member_at = dummy_predicate_t, typename executor_at = dummy_executor_t, typename progress_at = dummy_progress_t>
inline void isolate(allow_member_at &&allow_member, executor_at &&executor = executor_at{}, progress_at &&progress = progress_at{}) noexcept

Scans the whole collection, removing the links leading towards banned entries. This essentially isolates some nodes from the rest of the graph, while keeping their outgoing links, in case the node is structurally relevant and has a crucial role in the index. It won’t reclaim the memory.

Parameters:

• allow_member – [in] Predicate to mark nodes for isolation.

• executor – [in] Thread-pool to execute the job in parallel.

• progress – [in] Callback to report the execution progress.

Public Static Functions

static inline state_result_t make(index_config_t config = {}, dynamic_allocator_t dynamic_allocator = {}, tape_allocator_t tape_allocator = {}) noexcept

The recommended way to initialize the index, as unlike the constructor, it can fail with an error message, without raising an exception.

Parameters:

• config – [in] The configuration specs of the index.

• dynamic_allocator – [in] The allocator for temporary buffers and thread contexts, like priority queues.

• tape_allocator – [in] The allocator for the primary allocations of nodes and vectors.

Private Types

using neighbors_count_t = std::uint32_t

Integer for the number of node neighbors at a specific level of the multi-level graph. It’s selected to be std::uint32_t to improve the alignment in most common cases.

using level_t = std::int16_t

using nodes_mutexes_t = bitset_gt<dynamic_allocator_t>

using visits_hash_set_t = growing_hash_set_gt<compressed_slot_t, hash_gt<compressed_slot_t>, dynamic_allocator_t>

using candidates_view_t = span_gt<candidate_t const>

using candidates_allocator_t = typename dynamic_allocator_traits_t::template rebind_alloc<candidate_t>

using top_candidates_t = sorted_buffer_gt<candidate_t, std::less<candidate_t>, candidates_allocator_t>

using next_candidates_t = max_heap_gt<candidate_t, std::less<candidate_t>, candidates_allocator_t>

using nodes_allocator_t = typename dynamic_allocator_traits_t::template rebind_alloc<node_t>

using contexts_allocator_t = typename dynamic_allocator_traits_t::template rebind_alloc<context_t>

using span_bytes_t = span_gt<byte_t>

Private Functions

inline span_bytes_t node_bytes_(node_t node) const noexcept

inline std::size_t node_bytes_(level_t level) const noexcept

inline std::size_t node_neighbors_bytes_(node_t node) const noexcept

inline std::size_t node_neighbors_bytes_(level_t level) const noexcept

inline span_bytes_t node_malloc_(level_t level) noexcept

inline node_t node_make_(vector_key_t key, level_t level) noexcept

inline node_t node_make_copy_(span_bytes_t old_bytes) noexcept

inline void node_free_(std::size_t idx) noexcept

inline node_t node_at_(std::size_t idx) const noexcept

inline neighbors_ref_t neighbors_base_(node_t node) const noexcept

inline neighbors_ref_t neighbors_non_base_(node_t node, level_t level) const noexcept

inline neighbors_ref_t neighbors_(node_t node, level_t level) const noexcept

inline node_lock_t node_lock_(std::size_t slot) const noexcept

inline node_conditional_lock_t node_try_conditional_lock_(std::size_t slot, bool condition, bool &failed_to_acquire) const noexcept

template<typename metric_at, bool require_non_empty_ak = false> inline candidates_view_t form_links_to_closest_ (metric_at &&metric, std::size_t new_slot, level_t level, context_t &context) usearch_noexcept_m

template<typename value_at, typename metric_at> inline void form_reverse_links_ (metric_at &&metric, compressed_slot_t new_slot, candidates_view_t new_neighbors, value_at &&value, level_t level, context_t &context) usearch_noexcept_m

inline level_t choose_random_level_(std::default_random_engine &level_generator) const noexcept

template<typename value_at, typename metric_at, typename prefetch_at = dummy_prefetch_t>
inline compressed_slot_t search_for_one_(value_at &&query, metric_at &&metric, prefetch_at &&prefetch, compressed_slot_t closest_slot, level_t begin_level, level_t end_level, context_t &context) const noexcept

template<typename value_at, typename metric_at, typename prefetch_at = dummy_prefetch_t>
inline bool search_to_insert_(value_at &&query, metric_at &&metric, prefetch_at &&prefetch, compressed_slot_t start_slot, level_t level, std::size_t top_limit, context_t &context) noexcept

Traverses a layer of a graph, to find the best place to insert a new node. Locks the nodes in the process, assuming other threads are updating neighbors lists.

Returns:

true if procedure succeeded, false if run out of memory.

template<typename value_at, typename metric_at, typename prefetch_at = dummy_prefetch_t>
inline bool search_to_update_(value_at &&query, metric_at &&metric, prefetch_at &&prefetch, compressed_slot_t start_slot, compressed_slot_t updated_slot, level_t level, std::size_t top_limit, context_t &context) noexcept

Traverses a layer of a graph, to find the best neighbors list for updated node. Locks the nodes in the process, assuming other threads are updating neighbors lists.

Returns:

true if procedure succeeded, false if run out of memory.

template<typename value_at, typename metric_at, typename predicate_at, typename prefetch_at> inline bool search_to_find_in_base_ (value_at &&query, metric_at &&metric, predicate_at &&predicate, prefetch_at &&prefetch, compressed_slot_t start_slot, std::size_t expansion, context_t &context) const usearch_noexcept_m

Traverses the base layer of a graph, to find a close match. Doesn’t lock any nodes, assuming read-only simultaneous access.

Returns:

true if procedure succeeded, false if run out of memory.

template<typename value_at, typename metric_at, typename predicate_at>
inline void search_exact_(value_at &&query, metric_at &&metric, predicate_at &&predicate, std::size_t count, context_t &context) const noexcept

Iterates through all members, without actually touching the index.

template<typename metric_at>
inline candidates_view_t refine_(metric_at &&metric, std::size_t needed, top_candidates_t &top, context_t &context, std::size_t &refines_counter) const noexcept

This algorithm from the original paper implements a heuristic, that massively reduces the number of connections a point has, to keep only the neighbors, that are from each other.

Private Members

mutable std::atomic<std::size_t> nodes_capacity_ = {}

Number of “slots” available for node_t objects. Equals to .

mutable std::atomic<std::size_t> nodes_count_ = {}

Number of “slots” already storing non-null nodes.

index_config_t config_ = {}

index_limits_t limits_ = {}

mutable dynamic_allocator_t dynamic_allocator_ = {}

tape_allocator_t tape_allocator_ = {}

precomputed_constants_t pre_ = {}

memory_mapped_file_t viewed_file_ = {}

std::mutex global_mutex_ = {}

Controls access to max_level_ and entry_slot_. If any thread is updating those values, no other threads can add() or search().

level_t max_level_ = {}

The level of the top-most graph in the index. Grows as the logarithm of size, starts from zero.

std::size_t entry_slot_ = {}

The slot in which the only node of the top-level graph is stored.

buffer_gt<node_t, nodes_allocator_t> nodes_ = {}

C-style array of node_t smart-pointers. Use compressed_slot_t for indexing.

mutable nodes_mutexes_t nodes_mutexes_ = {}

Mutex, that limits concurrent access to nodes_.

mutable buffer_gt<context_t, contexts_allocator_t> contexts_ = {}

Array of thread-specific buffers for temporary data.

Private Static Functions

static inline constexpr std::size_t node_head_bytes_()

How many bytes of memory are needed to form the “head” of the node.

static inline precomputed_constants_t precompute_(index_config_t const &config) noexcept

struct add_result_t

#include <index.hpp>

Public Functions

inline explicit operator bool() const noexcept

inline add_result_t failed(error_t message) noexcept

Public Members

error_t error = {}

std::size_t new_size = {}

std::size_t visited_members = {}

std::size_t computed_distances = {}

std::size_t computed_distances_in_refines = {}

std::size_t computed_distances_in_reverse_refines = {}

compressed_slot_t slot = {}

struct candidate_t

A space-efficient internal data-structure used in graph traversal queues.

Public Functions

inline bool operator<(candidate_t other) const noexcept

Public Members

distance_t distance

compressed_slot_t slot

class candidates_iterator_t

Public Types

using element_t = compressed_slot_t

using iterator_category = std::forward_iterator_tag

using value_type = element_t

using difference_type = std::ptrdiff_t

using pointer = misaligned_ptr_gt<element_t>

using reference = misaligned_ref_gt<element_t>

Public Functions

inline value_type operator*() const noexcept

inline candidates_iterator_t(index_gt const &index, neighbors_ref_t neighbors, visits_hash_set_t &visits, std::size_t progress) noexcept

inline candidates_iterator_t operator++(int) noexcept

inline candidates_iterator_t &operator++() noexcept

inline bool operator==(candidates_iterator_t const &other) noexcept

inline bool operator!=(candidates_iterator_t const &other) noexcept

inline vector_key_t key() const noexcept

inline compressed_slot_t slot() const noexcept

Private Functions

inline candidates_iterator_t &skip_missing() noexcept

Private Members

index_gt const &index_

neighbors_ref_t neighbors_

visits_hash_set_t &visits_

std::size_t current_

Friends

friend struct candidates_range_t

inline friend std::size_t get_slot(candidates_iterator_t const &it) noexcept

inline friend vector_key_t get_key(candidates_iterator_t const &it) noexcept

struct candidates_range_t

Public Functions

inline candidates_iterator_t begin() const noexcept

inline candidates_iterator_t end() const noexcept

Public Members

index_gt const &index

neighbors_ref_t neighbors

visits_hash_set_t &visits

struct cluster_result_t

#include <index.hpp>

Public Functions

inline explicit operator bool() const noexcept

inline cluster_result_t failed(error_t message) noexcept

Public Members

error_t error = {}

std::size_t visited_members = {}

std::size_t computed_distances = {}

match_t cluster = {}

struct context_t

A package of all kinds of temporary data-structures, that the threads would reuse to process requests. Similar to having all of those as separate thread_local global variables.

Public Functions

template<typename value_at, typename metric_at, typename entry_at>
inline distance_t measure(value_at const &first, entry_at const &second, metric_at &&metric) noexcept

Heterogeneous distance calculation.

template<typename metric_at, typename entry_at>
inline distance_t measure(entry_at const &first, entry_at const &second, metric_at &&metric) noexcept

Homogeneous distance calculation.

template<typename value_at, typename metric_at, typename entries_at, typename candidate_allowed_at, typename transform_at, typename callback_at>
inline void measure_batch(value_at const &first, entries_at const &second_entries, metric_at &&metric, candidate_allowed_at &&candidate_allowed, transform_at &&transform, callback_at &&callback) noexcept

Heterogeneous batch distance calculation.

Public Members

top_candidates_t top_candidates = {}

next_candidates_t next_candidates = {}

visits_hash_set_t visits = {}

std::default_random_engine level_generator = {}

std::size_t iteration_cycles = {}

std::size_t computed_distances = {}

std::size_t computed_distances_in_refines = {}

std::size_t computed_distances_in_reverse_refines = {}

struct match_t

#include <index.hpp>

Describes a matched search result, augmenting member_cref_t contents with distance to the query object.

Public Functions

inline match_t() noexcept

inline match_t(member_cref_t member, distance_t distance) noexcept

inline match_t(match_t &&other) noexcept

inline match_t(match_t const &other) noexcept

inline match_t &operator=(match_t const &other) noexcept

inline match_t &operator=(match_t &&other) noexcept

Public Members

member_cref_t member

distance_t distance

template<typename ref_at, typename index_at>
class member_iterator_gt

#include <index.hpp>

Public Types

using iterator_category = std::random_access_iterator_tag

using value_type = ref_t

using difference_type = std::ptrdiff_t

using pointer = void

using reference = ref_t

Public Functions

inline reference operator*() const noexcept

inline vector_key_t key() const noexcept

inline member_iterator_gt operator++(int) noexcept

inline member_iterator_gt operator--(int) noexcept

inline member_iterator_gt operator+(difference_type d) noexcept

inline member_iterator_gt operator-(difference_type d) noexcept

inline member_iterator_gt &operator++() noexcept

inline member_iterator_gt &operator--() noexcept

inline member_iterator_gt &operator+=(difference_type d) noexcept

inline member_iterator_gt &operator-=(difference_type d) noexcept

inline bool operator==(member_iterator_gt const &other) const noexcept

inline bool operator!=(member_iterator_gt const &other) const noexcept

Private Types

using ref_t = ref_at

using index_t = index_at

Private Functions

inline member_iterator_gt() noexcept

inline member_iterator_gt(index_t *index, compressed_slot_t slot) noexcept

template<int>
inline ref_t call_key(std::true_type) const noexcept

template<int>
inline ref_t call_key(std::false_type) const noexcept

Private Members

index_t *index_ = {}

compressed_slot_t slot_ = {}

Friends

friend class index_gt

inline friend compressed_slot_t get_slot(member_iterator_gt const &it) noexcept

inline friend vector_key_t get_key(member_iterator_gt const &it) noexcept

class neighbors_ref_t

A slice of the node’s tape, containing a the list of neighbors for a node in a single graph level. It’s pre-allocated to fit as many neighbors “slots”, as may be needed at the target level, and starts with a single integer neighbors_count_t counter.

Public Types

using iterator = misaligned_ptr_gt<compressed_slot_t>

using const_iterator = misaligned_ptr_gt<compressed_slot_t const>

using value_type = compressed_slot_t

Public Functions

inline neighbors_ref_t(byte_t *tape) noexcept

inline misaligned_ptr_gt<compressed_slot_t> begin() noexcept

inline misaligned_ptr_gt<compressed_slot_t> end() noexcept

inline misaligned_ptr_gt<compressed_slot_t const> begin() const noexcept

inline misaligned_ptr_gt<compressed_slot_t const> end() const noexcept

inline misaligned_ptr_gt<compressed_slot_t const> cbegin() noexcept

inline misaligned_ptr_gt<compressed_slot_t const> cend() noexcept

inline compressed_slot_t operator[](std::size_t i) const noexcept

inline std::size_t size() const noexcept

inline void clear() noexcept

inline void push_back(compressed_slot_t slot) noexcept

Private Members

byte_t *tape_

Private Static Functions

static inline constexpr std::size_t shift(std::size_t i = 0) noexcept

struct node_conditional_lock_t

Public Functions

inline ~node_conditional_lock_t() noexcept

Public Members

nodes_mutexes_t &mutexes

std::size_t slot

struct node_lock_t

Public Functions

inline ~node_lock_t() noexcept

Public Members

nodes_mutexes_t &mutexes

std::size_t slot

class node_t

A loosely-structured handle for every node. One such node is created for every member. To minimize memory usage and maximize the number of entries per cache-line, it only stores to pointers. The internal tape starts with a vector_key_t key, then a level_t for the number of graph levels in which this member appears, then the { neighbors_count_t, compressed_slot_t, compressed_slot_t … } sequences for each-level.

Public Functions

inline explicit node_t(byte_t *tape) noexcept

inline byte_t *tape() const noexcept

inline byte_t *neighbors_tape() const noexcept

inline explicit operator bool() const noexcept

node_t() = default

node_t(node_t const&) = default

node_t &operator=(node_t const&) = default

inline misaligned_ref_gt<vector_key_t const> ckey() const noexcept

inline misaligned_ref_gt<vector_key_t const> ckey() noexcept

inline misaligned_ref_gt<vector_key_t const> key() const noexcept

inline misaligned_ref_gt<vector_key_t> key() noexcept

inline misaligned_ref_gt<level_t> level() noexcept

inline void key(vector_key_t v) noexcept

inline void level(level_t v) noexcept

Private Members

byte_t *tape_ = {}

struct precomputed_constants_t

Public Members

double inverse_log_connectivity = {}

std::size_t neighbors_bytes = {}

std::size_t neighbors_base_bytes = {}

class search_result_t

#include <index.hpp>

Subclassed by unum::usearch::index_dense_gt< key_at, compressed_slot_at >::search_result_t

Public Functions

inline search_result_t() noexcept

inline search_result_t(search_result_t&&) = default

inline search_result_t &operator=(search_result_t&&) = default

inline explicit operator bool() const noexcept

inline search_result_t failed(error_t message) noexcept

inline operator std::size_t() const noexcept

inline std::size_t size() const noexcept

inline bool empty() const noexcept

inline match_t operator[](std::size_t i) const noexcept

inline match_t front() const noexcept

inline match_t back() const noexcept

inline bool contains(vector_key_t key) const noexcept

inline match_t at(std::size_t i) const noexcept

inline std::size_t merge_into(vector_key_t *keys, distance_t *distances, std::size_t old_count, std::size_t max_count) const noexcept

Extracts the search results into a user-provided buffer, that unlike dump_to, may already contain some data, so the new and old results are merged together.

Parameters:

• keys – [in] The buffer to store the keys of the search results.

• distances – [in] The buffer to store the distances to the search results.

• old_count – [in] The number of results already stored in the buffers.

• max_count – [in] The maximum number of results that can be stored in the buffers.

Returns:

The number of results stored in the buffer.

inline std::size_t dump_to(vector_key_t *keys, distance_t *distances) const noexcept

Extracts the search results into a user-provided buffer.

Parameters:

• keys – [in] The buffer to store the keys of the search results.

• distances – [in] The buffer to store the distances to the search results.

Returns:

The number of results stored in the buffer.

inline std::size_t dump_to(vector_key_t *keys) const noexcept

Extracts the search results into a user-provided buffer.

Parameters:

keys – [in] The buffer to store the keys of the search results.

Returns:

The number of results stored in the buffer.

Public Members

std::size_t count = {}

Number of search results found.

std::size_t visited_members = {}

Number of graph nodes traversed.

std::size_t computed_distances = {}

Number of times the distances were computed.

error_t error = {}

Private Functions

inline search_result_t(index_gt const &index, top_candidates_t const *top) noexcept

Private Members

node_t const *nodes_ = {}

top_candidates_t const *top_ = {}

Friends

friend class index_gt

struct state_result_t

#include <index.hpp>

Public Functions

inline explicit operator bool() const noexcept

inline state_result_t failed(error_t message) noexcept

inline operator index_gt&&() &&

Public Members

index_gt index

error_t error

struct stats_t

#include <index.hpp>

Public Members

std::size_t nodes = {}

std::size_t edges = {}

std::size_t max_edges = {}

std::size_t allocated_bytes = {}

struct join_result_t

#include <index.hpp>

Public Functions

inline explicit operator bool() const noexcept

inline join_result_t failed(error_t message) noexcept

Public Members

error_t error = {}

std::size_t intersection_size = {}

std::size_t engagements = {}

std::size_t visited_members = {}

std::size_t computed_distances = {}

usearch/index_plugins.hpp

Defines

__STDC_WANT_IEC_60559_TYPES_EXT__

USEARCH_USE_OPENMP

USEARCH_USE_FP16LIB

USEARCH_USE_SIMSIMD

Typedefs

using u40_t = uint40_t

using f16_t = f16_bits_t

using bf16_t = bf16_bits_t

using f64_t = double

using f32_t = float

using u64_t = std::uint64_t

using u32_t = std::uint32_t

using u16_t = std::uint16_t

using u8_t = std::uint8_t

using i64_t = std::int64_t

using i32_t = std::int32_t

using i16_t = std::int16_t

using i8_t = std::int8_t

using executor_default_t = executor_stl_t

using aligned_allocator_t = aligned_allocator_gt<>

using memory_mapping_allocator_t = memory_mapping_allocator_gt<>

using cast_punned_t = bool (*)(byte_t const*, std::size_t, byte_t*)

Type-punned array casting function. Arguments: input buffer, bytes in input buffer, output buffer. Returns true if the casting was performed successfully, false otherwise.

using distance_punned_t = float

using span_punned_t = span_gt<byte_t const>

using exact_search_results_t = matrix_slice_gt<exact_offset_and_distance_t const>

using kmeans_clustering_t = kmeans_clustering_gt<>

Enums

enum b1x8_t

Values:

enum class metric_kind_t : std::uint8_t

Enumerates the most commonly used distance metrics, mostly for dense vector representations.

Values:

enumerator unknown_k

enumerator ip_k

enumerator cos_k

enumerator l2sq_k

enumerator pearson_k

enumerator haversine_k

enumerator divergence_k

enumerator hamming_k

enumerator tanimoto_k

enumerator sorensen_k

enumerator jaccard_k

enum class scalar_kind_t : std::uint8_t

Enumerates the most commonly used scalar types, mostly for dense vector representations. Doesn’t include logical types, like complex numbers or quaternions.

Values:

enumerator unknown_k

enumerator b1x8_k

enumerator u40_k

enumerator uuid_k

enumerator bf16_k

enumerator f64_k

enumerator f32_k

enumerator f16_k

enumerator f8_k

enumerator u64_k

enumerator u32_k

enumerator u16_k

enumerator u8_k

enumerator i64_k

enumerator i32_k

enumerator i16_k

enumerator i8_k

enum class metric_punned_signature_t

The signature of the user-defined function. Can be just two array pointers, precompiled for a specific array length, or include one or two array sizes as 64-bit unsigned integers.

Values:

enumerator array_array_k

enumerator array_array_size_k

enumerator array_array_state_k

Functions

template<typename scalar_at>
scalar_kind_t scalar_kind() noexcept

Maps a scalar type to its corresponding scalar_kind_t enumeration value.

template<typename at>
at angle_to_radians(at angle) noexcept

Converts an angle from degrees to radians.

template<typename at>
at square(at value) noexcept

Readability helper to compute the square of a given value.

template<typename at, typename compare_at>
inline at clamp(at v, at lo, at hi, compare_at comp) noexcept

Clamps a value between a lower and upper bound using a custom comparator. Similar to std::clamp. https://en.cppreference.com/w/cpp/algorithm/clamp.

template<typename at>
inline at clamp(at v, at lo, at hi) noexcept

Clamps a value between a lower and upper bound. Similar to std::clamp. https://en.cppreference.com/w/cpp/algorithm/clamp.

inline bool str_equals(char const *first_begin, std::size_t first_len, char const *second_begin) noexcept

Compares two strings for equality, given a length for the first string.

inline std::size_t bits_per_scalar(scalar_kind_t scalar_kind) noexcept

Returns the number of bits required to represent a scalar type.

inline std::size_t bits_per_scalar_word(scalar_kind_t scalar_kind) noexcept

Returns the number of bits in a scalar word for a given scalar type. Equivalent to bits_per_scalar for types that are not bit-packed.

inline char const *scalar_kind_name(scalar_kind_t scalar_kind) noexcept

Returns the string name of a given scalar type.

inline char const *metric_kind_name(metric_kind_t metric) noexcept

Returns the string name of a given distance metric.

inline expected_gt<scalar_kind_t> scalar_kind_from_name(char const *name, std::size_t len)

Parses a string to identify the corresponding scalar_kind_t enumeration value.

inline expected_gt<scalar_kind_t> scalar_kind_from_name(char const *name)

Parses a string to identify the corresponding scalar_kind_t enumeration value.

inline expected_gt<metric_kind_t> metric_from_name(char const *name, std::size_t len)

Parses a string to identify the corresponding metric_kind_t enumeration value.

inline expected_gt<metric_kind_t> metric_from_name(char const *name)

Parses a string to identify the corresponding metric_kind_t enumeration value.

inline float f16_to_f32(std::uint16_t u16) noexcept

Convenience function to upcast a half-precision floating point number to a single-precision one.

inline std::uint16_t f32_to_f16(float f32) noexcept

Convenience function to downcast a single-precision floating point number to a half-precision one.

inline float bf16_to_f32(std::uint16_t u16) noexcept

Convenience function to upcast a brain-floating point number to a single-precision one. https://github.com/ashvardanian/SimSIMD/blob/ff51434d90c66f916e94ff05b24530b127aa4cff/include/simsimd/types.h#L395-L410.

inline std::uint16_t f32_to_bf16(float f32) noexcept

Convenience function to downcast a single-precision floating point number to a brain-floating point one. https://github.com/ashvardanian/SimSIMD/blob/ff51434d90c66f916e94ff05b24530b127aa4cff/include/simsimd/types.h#L412-L425.

namespace unum

namespace usearch

Typedefs

using u40_t = uint40_t

using f16_t = f16_bits_t

using bf16_t = bf16_bits_t

using f64_t = double

using f32_t = float

using u64_t = std::uint64_t

using u32_t = std::uint32_t

using u16_t = std::uint16_t

using u8_t = std::uint8_t

using i64_t = std::int64_t

using i32_t = std::int32_t

using i16_t = std::int16_t

using i8_t = std::int8_t

using executor_default_t = executor_stl_t

using aligned_allocator_t = aligned_allocator_gt<>

using memory_mapping_allocator_t = memory_mapping_allocator_gt<>

using cast_punned_t = bool (*)(byte_t const*, std::size_t, byte_t*)

Type-punned array casting function. Arguments: input buffer, bytes in input buffer, output buffer. Returns true if the casting was performed successfully, false otherwise.

using distance_punned_t = float

using span_punned_t = span_gt<byte_t const>

using exact_search_results_t = matrix_slice_gt<exact_offset_and_distance_t const>

using kmeans_clustering_t = kmeans_clustering_gt<>

Enums

enum b1x8_t

Values:

enum class metric_kind_t : std::uint8_t

Enumerates the most commonly used distance metrics, mostly for dense vector representations.

Values:

enumerator unknown_k

enumerator ip_k

enumerator cos_k

enumerator l2sq_k

enumerator pearson_k

enumerator haversine_k

enumerator divergence_k

enumerator hamming_k

enumerator tanimoto_k

enumerator sorensen_k

enumerator jaccard_k

enum class scalar_kind_t : std::uint8_t

Enumerates the most commonly used scalar types, mostly for dense vector representations. Doesn’t include logical types, like complex numbers or quaternions.

Values:

enumerator unknown_k

enumerator b1x8_k

enumerator u40_k

enumerator uuid_k

enumerator bf16_k

enumerator f64_k

enumerator f32_k

enumerator f16_k

enumerator f8_k

enumerator u64_k

enumerator u32_k

enumerator u16_k

enumerator u8_k

enumerator i64_k

enumerator i32_k

enumerator i16_k

enumerator i8_k

enum class metric_punned_signature_t

The signature of the user-defined function. Can be just two array pointers, precompiled for a specific array length, or include one or two array sizes as 64-bit unsigned integers.

Values:

enumerator array_array_k

enumerator array_array_size_k

enumerator array_array_state_k

Functions

template<typename scalar_at>
scalar_kind_t scalar_kind() noexcept

Maps a scalar type to its corresponding scalar_kind_t enumeration value.

template<typename at>
at angle_to_radians(at angle) noexcept

Converts an angle from degrees to radians.

template<typename at>
at square(at value) noexcept

Readability helper to compute the square of a given value.

template<typename at, typename compare_at>
inline at clamp(at v, at lo, at hi, compare_at comp) noexcept

Clamps a value between a lower and upper bound using a custom comparator. Similar to std::clamp. https://en.cppreference.com/w/cpp/algorithm/clamp.

template<typename at>
inline at clamp(at v, at lo, at hi) noexcept

Clamps a value between a lower and upper bound. Similar to std::clamp. https://en.cppreference.com/w/cpp/algorithm/clamp.

inline bool str_equals(char const *first_begin, std::size_t first_len, char const *second_begin) noexcept

Compares two strings for equality, given a length for the first string.

inline std::size_t bits_per_scalar(scalar_kind_t scalar_kind) noexcept

Returns the number of bits required to represent a scalar type.

inline std::size_t bits_per_scalar_word(scalar_kind_t scalar_kind) noexcept

Returns the number of bits in a scalar word for a given scalar type. Equivalent to bits_per_scalar for types that are not bit-packed.

inline char const *scalar_kind_name(scalar_kind_t scalar_kind) noexcept

Returns the string name of a given scalar type.

inline char const *metric_kind_name(metric_kind_t metric) noexcept

Returns the string name of a given distance metric.

inline expected_gt<scalar_kind_t> scalar_kind_from_name(char const *name, std::size_t len)

Parses a string to identify the corresponding scalar_kind_t enumeration value.

inline expected_gt<scalar_kind_t> scalar_kind_from_name(char const *name)

Parses a string to identify the corresponding scalar_kind_t enumeration value.

inline expected_gt<metric_kind_t> metric_from_name(char const *name, std::size_t len)

Parses a string to identify the corresponding metric_kind_t enumeration value.

inline expected_gt<metric_kind_t> metric_from_name(char const *name)

Parses a string to identify the corresponding metric_kind_t enumeration value.

inline float f16_to_f32(std::uint16_t u16) noexcept

Convenience function to upcast a half-precision floating point number to a single-precision one.

inline std::uint16_t f32_to_f16(float f32) noexcept

Convenience function to downcast a single-precision floating point number to a half-precision one.

inline float bf16_to_f32(std::uint16_t u16) noexcept

Convenience function to upcast a brain-floating point number to a single-precision one. https://github.com/ashvardanian/SimSIMD/blob/ff51434d90c66f916e94ff05b24530b127aa4cff/include/simsimd/types.h#L395-L410.

inline std::uint16_t f32_to_bf16(float f32) noexcept

Convenience function to downcast a single-precision floating point number to a brain-floating point one. https://github.com/ashvardanian/SimSIMD/blob/ff51434d90c66f916e94ff05b24530b127aa4cff/include/simsimd/types.h#L412-L425.

struct uuid_t

#include <index_plugins.hpp>

Public Members

std::uint8_t octets[16]

class f16_bits_t

#include <index_plugins.hpp>

Numeric type for the IEEE 754 half-precision floating point. If hardware support isn’t available, falls back to a hardware agnostic in-software implementation.

Public Functions

inline f16_bits_t() noexcept

inline f16_bits_t(f16_bits_t&&) = default

inline f16_bits_t &operator=(f16_bits_t&&) = default

inline f16_bits_t(f16_bits_t const&) = default

inline f16_bits_t &operator=(f16_bits_t const&) = default

inline operator float() const noexcept

inline explicit operator bool() const noexcept

inline f16_bits_t(std::int8_t v) noexcept

inline f16_bits_t(bool v) noexcept

inline f16_bits_t(float v) noexcept

inline f16_bits_t(double v) noexcept

inline bool operator<(f16_bits_t const &other) const noexcept

inline f16_bits_t operator+(f16_bits_t other) const noexcept

inline f16_bits_t operator-(f16_bits_t other) const noexcept

inline f16_bits_t operator*(f16_bits_t other) const noexcept

inline f16_bits_t operator/(f16_bits_t other) const noexcept

inline float operator+(float other) const noexcept

inline float operator-(float other) const noexcept

inline float operator*(float other) const noexcept

inline float operator/(float other) const noexcept

inline double operator+(double other) const noexcept

inline double operator-(double other) const noexcept

inline double operator*(double other) const noexcept

inline double operator/(double other) const noexcept

inline f16_bits_t &operator+=(float v) noexcept

inline f16_bits_t &operator-=(float v) noexcept

inline f16_bits_t &operator*=(float v) noexcept

inline f16_bits_t &operator/=(float v) noexcept

Private Members

std::uint16_t uint16_ = {}

class bf16_bits_t

#include <index_plugins.hpp>

Numeric type for brain-floating point half-precision floating point. If hardware support isn’t available, falls back to a hardware agnostic in-software implementation.

Public Functions

inline bf16_bits_t() noexcept

inline bf16_bits_t(bf16_bits_t&&) = default

inline bf16_bits_t &operator=(bf16_bits_t&&) = default

inline bf16_bits_t(bf16_bits_t const&) = default

inline bf16_bits_t &operator=(bf16_bits_t const&) = default

inline operator float() const noexcept

inline explicit operator bool() const noexcept

inline bf16_bits_t(std::int8_t v) noexcept

inline bf16_bits_t(bool v) noexcept

inline bf16_bits_t(float v) noexcept

inline bf16_bits_t(double v) noexcept

inline bool operator<(bf16_bits_t const &other) const noexcept

inline bf16_bits_t operator+(bf16_bits_t other) const noexcept

inline bf16_bits_t operator-(bf16_bits_t other) const noexcept

inline bf16_bits_t operator*(bf16_bits_t other) const noexcept

inline bf16_bits_t operator/(bf16_bits_t other) const noexcept

inline float operator+(float other) const noexcept

inline float operator-(float other) const noexcept

inline float operator*(float other) const noexcept

inline float operator/(float other) const noexcept

inline double operator+(double other) const noexcept

inline double operator-(double other) const noexcept

inline double operator*(double other) const noexcept

inline double operator/(double other) const noexcept

inline bf16_bits_t &operator+=(float v) noexcept

inline bf16_bits_t &operator-=(float v) noexcept

inline bf16_bits_t &operator*=(float v) noexcept

inline bf16_bits_t &operator/=(float v) noexcept

Private Members

std::uint16_t uint16_ = {}

class executor_stl_t

#include <index_plugins.hpp>

An STL-based executor or a “thread-pool” for parallel execution. Isn’t efficient for small batches, as it recreates the threads on every call.

Public Functions

inline executor_stl_t(std::size_t threads_count = 0) noexcept

Parameters:

threads_count – The number of threads to be used for parallel execution.

inline std::size_t size() const noexcept

Returns:

Maximum number of threads available to the executor.

template<typename thread_aware_function_at>
inline void fixed(std::size_t tasks, thread_aware_function_at &&thread_aware_function) noexcept(false)

Executes a fixed number of tasks using the specified thread-aware function.

Parameters:

• tasks – The total number of tasks to be executed.

• thread_aware_function – The thread-aware function to be called for each thread index and task index.

Throws:

If – an exception occurs during execution of the thread-aware function.

template<typename thread_aware_function_at>
inline void dynamic(std::size_t tasks, thread_aware_function_at &&thread_aware_function) noexcept(false)

Executes limited number of tasks using the specified thread-aware function.

Parameters:

• tasks – The upper bound on the number of tasks.

• thread_aware_function – The thread-aware function to be called for each thread index and task index.

Throws:

If – an exception occurs during execution of the thread-aware function.

template<typename thread_aware_function_at>
inline void parallel(thread_aware_function_at &&thread_aware_function) noexcept(false)

Saturates every available thread with the given workload, until they finish.

Parameters:

thread_aware_function – The thread-aware function to be called for each thread index.

Throws:

If – an exception occurs during execution of the thread-aware function.

Private Members

std::size_t threads_count_ = {}

struct jthread_t

Public Functions

jthread_t() = default

jthread_t(jthread_t&&) = default

jthread_t(jthread_t const&) = delete

template<typename callable_at>
inline jthread_t(callable_at &&func)

inline ~jthread_t()

Public Members

std::thread native_

bool initialized_ = false

template<typename element_at = char, std::size_t alignment_ak = 64>
class aligned_allocator_gt

#include <index_plugins.hpp>

Uses OS-specific APIs for aligned memory allocations. Available since C11, but only C++17, so we wrap the C version.

Public Types

using value_type = element_at

using size_type = std::size_t

using pointer = element_at*

using const_pointer = element_at const*

Public Functions

inline constexpr std::size_t alignment() const

inline pointer allocate(size_type length) const

inline void deallocate(pointer begin, size_type) const

template<typename other_element_at>
struct rebind

#include <index_plugins.hpp>

Public Types

using other = aligned_allocator_gt<other_element_at>

class page_allocator_t

#include <index_plugins.hpp>

A simple RAM-page allocator that uses the OS-specific APIs for memory allocation. Shouldn’t be used frequently, as system calls are slow.

Public Functions

inline byte_t *allocate(std::size_t count_bytes) const noexcept

Allocates an uninitialized block of memory of the specified size.

Parameters:

count_bytes – The number of bytes to allocate.

Returns:

A pointer to the allocated memory block, or nullptr if allocation fails.

inline void deallocate(byte_t *page_pointer, std::size_t count_bytes) const noexcept

Public Static Functions

static inline constexpr std::size_t page_size()

template<std::size_t alignment_ak = 1>
class memory_mapping_allocator_gt

#include <index_plugins.hpp>

Memory-mapping allocator designed for “alloc many, free at once” usage patterns. Thread-safe, except constructors and destructors.

Using this memory allocator won’t affect your overall speed much, as that is not the bottleneck. However, it can drastically improve memory usage especially for huge indexes of small vectors.

Public Types

using value_type = byte_t

using size_type = std::size_t

using pointer = byte_t*

using const_pointer = byte_t const*

Public Functions

memory_mapping_allocator_gt() = default

inline memory_mapping_allocator_gt(memory_mapping_allocator_gt &&other) noexcept

inline memory_mapping_allocator_gt &operator=(memory_mapping_allocator_gt &&other) noexcept

inline ~memory_mapping_allocator_gt() noexcept

inline void reset() noexcept

Discards all previously allocated memory buffers.

inline memory_mapping_allocator_gt(memory_mapping_allocator_gt const&) noexcept

Copy constructor.

Note

This is a no-op copy constructor since the allocator is not copyable.

inline memory_mapping_allocator_gt &operator=(memory_mapping_allocator_gt const&) noexcept

Copy assignment operator.

Note

This is a no-op copy assignment operator since the allocator is not copyable.

Returns:

Reference to the allocator after the assignment.

inline byte_t *allocate(std::size_t count_bytes) noexcept

Allocates an uninitialized block of memory of the specified size.

Parameters:

count_bytes – The number of bytes to allocate.

Returns:

A pointer to the allocated memory block, or nullptr if allocation fails.

inline std::size_t total_allocated() const noexcept

Returns the amount of memory used by the allocator across all arenas.

Returns:

The amount of space in bytes.

inline std::size_t total_wasted() const noexcept

Returns the amount of wasted space due to alignment.

Returns:

The amount of wasted space in bytes.

inline std::size_t total_reserved() const noexcept

Returns the amount of remaining memory already reserved but not yet used.

Returns:

The amount of reserved memory in bytes.

inline void deallocate(byte_t* = nullptr, std::size_t = 0) noexcept

Warning

The very first memory de-allocation discards all the arenas!

Private Members

std::mutex mutex_

byte_t *last_arena_ = nullptr

std::size_t last_usage_ = head_size()

std::size_t last_capacity_ = min_capacity()

std::size_t wasted_space_ = 0

Private Static Functions

static inline constexpr std::size_t min_capacity()

static inline constexpr std::size_t capacity_multiplier()

static inline constexpr std::size_t head_size()

class unfair_shared_mutex_t

#include <index_plugins.hpp>

C++11 userspace implementation of an oversimplified std::shared_mutex, that assumes rare interleaving of shared and unique locks. It’s not fair, but requires only a single 32-bit atomic integer to work.

Public Functions

inline void lock() noexcept

inline void unlock() noexcept

inline void lock_shared() noexcept

inline void unlock_shared() noexcept

inline bool try_escalate() noexcept

Try upgrades the current lock_shared() to a unique lock() state.

inline void unsafe_escalate() noexcept

Escalates current lock potentially loosing control in the middle. It’s a shortcut for try_escalate-unlock_shared-lock trio.

inline void escalate() noexcept

Upgrades the current lock_shared() to a unique lock() state.

inline void de_escalate() noexcept

De-escalation of a previously escalated state.

Private Types

enum state_t

Any positive integer describes the number of concurrent readers

Values:

enumerator idle_k

enumerator writing_k

Private Members

std::atomic<std::int32_t> state_ = {idle_k}

template<typename mutex_at = unfair_shared_mutex_t>
class shared_lock_gt

#include <index_plugins.hpp>

Public Functions

inline explicit shared_lock_gt(mutex_at &m) noexcept

inline ~shared_lock_gt() noexcept

Private Members

mutex_at &mutex_

template<typename from_scalar_at, typename to_scalar_at>
struct cast_gt

#include <index_plugins.hpp>

Utility class used to cast arrays of one scalar type to another, avoiding unnecessary conversions.

Public Static Functions

static inline bool try_(byte_t const *input, std::size_t dim, byte_t *output) noexcept

template<>
struct cast_gt<f32_t, f32_t>

#include <index_plugins.hpp>

Public Static Functions

static inline bool try_(byte_t const*, std::size_t, byte_t*) noexcept

template<>
struct cast_gt<f64_t, f64_t>

#include <index_plugins.hpp>

Public Static Functions

static inline bool try_(byte_t const*, std::size_t, byte_t*) noexcept

template<>
struct cast_gt<f16_bits_t, f16_bits_t>

#include <index_plugins.hpp>

Public Static Functions

static inline bool try_(byte_t const*, std::size_t, byte_t*) noexcept

template<>
struct cast_gt<bf16_bits_t, bf16_bits_t>

#include <index_plugins.hpp>

Public Static Functions

static inline bool try_(byte_t const*, std::size_t, byte_t*) noexcept

template<>
struct cast_gt<i8_t, i8_t>

#include <index_plugins.hpp>

Public Static Functions

static inline bool try_(byte_t const*, std::size_t, byte_t*) noexcept

template<>
struct cast_gt<b1x8_t, b1x8_t>

#include <index_plugins.hpp>

Public Static Functions

static inline bool try_(byte_t const*, std::size_t, byte_t*) noexcept

template<typename from_scalar_at>
struct cast_to_b1x8_gt

#include <index_plugins.hpp>

Public Static Functions

static inline bool try_(byte_t const *input, std::size_t dim, byte_t *output) noexcept

template<typename to_scalar_at>
struct cast_from_b1x8_gt

#include <index_plugins.hpp>

Public Static Functions

static inline bool try_(byte_t const *input, std::size_t dim, byte_t *output) noexcept

template<typename from_scalar_at>
struct cast_to_i8_gt

#include <index_plugins.hpp>

Public Static Functions

static inline bool try_(byte_t const *input, std::size_t dim, byte_t *output) noexcept

template<typename to_scalar_at>
struct cast_from_i8_gt

#include <index_plugins.hpp>

Public Static Functions

static inline bool try_(byte_t const *input, std::size_t dim, byte_t *output) noexcept

template<>
struct cast_gt<i8_t, f16_bits_t> : public unum::usearch::cast_from_i8_gt<f16_t>

#include <index_plugins.hpp>

template<>
struct cast_gt<i8_t, bf16_bits_t> : public unum::usearch::cast_from_i8_gt<bf16_t>

#include <index_plugins.hpp>

template<>
struct cast_gt<i8_t, f32_t> : public unum::usearch::cast_from_i8_gt<f32_t>

#include <index_plugins.hpp>

template<>
struct cast_gt<i8_t, f64_t> : public unum::usearch::cast_from_i8_gt<f64_t>

#include <index_plugins.hpp>

template<>
struct cast_gt<f16_bits_t, i8_t> : public unum::usearch::cast_to_i8_gt<f16_t>

#include <index_plugins.hpp>

template<>
struct cast_gt<bf16_bits_t, i8_t> : public unum::usearch::cast_to_i8_gt<bf16_t>

#include <index_plugins.hpp>

template<>
struct cast_gt<f32_t, i8_t> : public unum::usearch::cast_to_i8_gt<f32_t>

#include <index_plugins.hpp>

template<>
struct cast_gt<f64_t, i8_t> : public unum::usearch::cast_to_i8_gt<f64_t>

#include <index_plugins.hpp>

template<>
struct cast_gt<b1x8_t, f16_bits_t> : public unum::usearch::cast_from_b1x8_gt<f16_t>

#include <index_plugins.hpp>

template<>
struct cast_gt<b1x8_t, bf16_bits_t> : public unum::usearch::cast_from_b1x8_gt<bf16_t>

#include <index_plugins.hpp>

template<>
struct cast_gt<b1x8_t, f32_t> : public unum::usearch::cast_from_b1x8_gt<f32_t>

#include <index_plugins.hpp>

template<>
struct cast_gt<b1x8_t, f64_t> : public unum::usearch::cast_from_b1x8_gt<f64_t>

#include <index_plugins.hpp>

template<>
struct cast_gt<f16_bits_t, b1x8_t> : public unum::usearch::cast_to_b1x8_gt<f16_t>

#include <index_plugins.hpp>

template<>
struct cast_gt<bf16_bits_t, b1x8_t> : public unum::usearch::cast_to_b1x8_gt<bf16_t>

#include <index_plugins.hpp>

template<>
struct cast_gt<f32_t, b1x8_t> : public unum::usearch::cast_to_b1x8_gt<f32_t>

#include <index_plugins.hpp>

template<>
struct cast_gt<f64_t, b1x8_t> : public unum::usearch::cast_to_b1x8_gt<f64_t>

#include <index_plugins.hpp>

template<>
struct cast_gt<b1x8_t, i8_t> : public unum::usearch::cast_from_b1x8_gt<i8_t>

#include <index_plugins.hpp>

template<>
struct cast_gt<i8_t, b1x8_t> : public unum::usearch::cast_to_b1x8_gt<i8_t>

#include <index_plugins.hpp>

struct casts_punned_t

#include <index_plugins.hpp>

A collection of casting functions for typical vector types. Covers to/from conversions for boolean, integer, half-precision, single-precision, and double-precision scalars.

Public Members

struct unum::usearch::casts_punned_t::group_t from

struct unum::usearch::casts_punned_t::group_t to

Public Static Functions

template<typename scalar_at>
static inline casts_punned_t make() noexcept

static inline casts_punned_t make(scalar_kind_t scalar_kind) noexcept

struct group_t

#include <index_plugins.hpp>

Public Functions

inline cast_punned_t operator[](scalar_kind_t scalar_kind) const noexcept

Public Members

cast_punned_t b1x8 = {}

cast_punned_t i8 = {}

cast_punned_t f16 = {}

cast_punned_t f32 = {}

cast_punned_t f64 = {}

template<typename scalar_at = float, typename result_at = scalar_at>
struct metric_ip_gt

#include <index_plugins.hpp>

Inner (Dot) Product distance.

Public Types

using scalar_t = scalar_at

using result_t = result_at

Public Functions

inline result_t operator()(scalar_t const *a, scalar_t const *b, std::size_t dim) const noexcept

template<typename scalar_at = float, typename result_at = scalar_at>
struct metric_cos_gt

#include <index_plugins.hpp>

Cosine (Angular) distance. Identical to the Inner Product of normalized vectors. Unless you are running on an tiny embedded platform, this metric is recommended over ::metric_ip_gt for low-precision scalars.

Public Types

using scalar_t = scalar_at

using result_t = result_at

Public Functions

inline result_t operator()(scalar_t const *a, scalar_t const *b, std::size_t dim) const noexcept

template<typename scalar_at = float, typename result_at = scalar_at>
struct metric_l2sq_gt

#include <index_plugins.hpp>

Squared Euclidean (L2) distance. Square root is avoided at the end, as it won’t affect the ordering.

Public Types

using scalar_t = scalar_at

using result_t = result_at

Public Functions

inline result_t operator()(scalar_t const *a, scalar_t const *b, std::size_t dim) const noexcept

template<typename scalar_at = std::uint64_t, typename result_at = std::size_t>
struct metric_hamming_gt

#include <index_plugins.hpp>

Hamming distance computes the number of differing bits in two arrays of integers. An example would be a textual document, tokenized and hashed into a fixed-capacity bitset.

Public Types

using scalar_t = scalar_at

using result_t = result_at

Public Functions

inline result_t operator()(scalar_t const *a, scalar_t const *b, std::size_t words) const noexcept

template<typename scalar_at = std::uint64_t, typename result_at = float>
struct metric_tanimoto_gt

#include <index_plugins.hpp>

Tanimoto distance is the intersection over bitwise union. Often used in chemistry and biology to compare molecular fingerprints.

Public Types

using scalar_t = scalar_at

using result_t = result_at

Public Functions

inline result_t operator()(scalar_t const *a, scalar_t const *b, std::size_t words) const noexcept

template<typename scalar_at = std::uint64_t, typename result_at = float>
struct metric_sorensen_gt

#include <index_plugins.hpp>

Sorensen-Dice or F1 distance is the intersection over bitwise union. Often used in chemistry and biology to compare molecular fingerprints.

Public Types

using scalar_t = scalar_at

using result_t = result_at

Public Functions

inline result_t operator()(scalar_t const *a, scalar_t const *b, std::size_t words) const noexcept

template<typename scalar_at = std::int32_t, typename result_at = float>
struct metric_jaccard_gt

#include <index_plugins.hpp>

Counts the number of matching elements in two unique sorted sets. Can be used to compute the similarity between two textual documents using the IDs of tokens present in them. Similar to metric_tanimoto_gt for dense representations.

Public Types

using scalar_t = scalar_at

using result_t = result_at

Public Functions

inline result_t operator()(scalar_t const *a, scalar_t const *b, std::size_t a_length, std::size_t b_length) const noexcept

template<typename scalar_at = float, typename result_at = float>
struct metric_pearson_gt

#include <index_plugins.hpp>

Measures Pearson Correlation between two sequences in a single pass.

Public Types

using scalar_t = scalar_at

using result_t = result_at

Public Functions

inline result_t operator()(scalar_t const *a, scalar_t const *b, std::size_t dim) const noexcept

template<typename scalar_at = float, typename result_at = float>
struct metric_divergence_gt

#include <index_plugins.hpp>

Measures Jensen-Shannon Divergence between two probability distributions.

Public Types

using scalar_t = scalar_at

using result_t = result_at

Public Functions

inline result_t operator()(scalar_t const *p, scalar_t const *q, std::size_t dim) const noexcept

struct metric_cos_i8_t

#include <index_plugins.hpp>

Cosine (Angular) distance for signed 8-bit integers using 16-bit intermediates.

Public Types

using scalar_t = i8_t

using result_t = f32_t

Public Functions

inline result_t operator()(i8_t const *a, i8_t const *b, std::size_t dim) const noexcept

struct metric_l2sq_i8_t

#include <index_plugins.hpp>

Squared Euclidean (L2) distance for signed 8-bit integers using 16-bit intermediates. Square root is avoided at the end, as it won’t affect the ordering.

Public Types

using scalar_t = i8_t

using result_t = f32_t

Public Functions

inline result_t operator()(i8_t const *a, i8_t const *b, std::size_t dim) const noexcept

template<typename scalar_at = float, typename result_at = scalar_at>
struct metric_haversine_gt

#include <index_plugins.hpp>

Haversine distance for the shortest distance between two nodes on the surface of a 3D sphere, defined with latitude and longitude.

Public Types

using scalar_t = scalar_at

using result_t = result_at

Public Functions

inline result_t operator()(scalar_t const *a, scalar_t const *b, std::size_t = 2) const noexcept

class metric_punned_t

#include <index_plugins.hpp>

Type-punned metric class, which unlike STL’s std::function avoids any memory allocations. It also provides additional APIs to check, if SIMD hardware-acceleration is available. Wraps the simsimd_metric_dense_punned_t when available. The auto-vectorized backend otherwise.

Public Types

using scalar_t = byte_t

using result_t = distance_punned_t

Public Functions

inline result_t operator()(byte_t const *a, byte_t const *b) const noexcept

Computes the distance between two vectors of fixed length.

! This is the only relevant function in the object. Everything else is just dynamic dispatch logic.

inline metric_punned_t() noexcept = default

inline metric_punned_t(metric_punned_t const&) noexcept = default

inline metric_punned_t &operator=(metric_punned_t const&) noexcept = default

inline metric_punned_t(std::size_t dimensions, metric_kind_t metric_kind = metric_kind_t::l2sq_k, scalar_kind_t scalar_kind = scalar_kind_t::f32_k) noexcept

inline metric_punned_t(std::size_t dimensions, std::uintptr_t metric_uintptr, metric_punned_signature_t signature, metric_kind_t metric_kind, scalar_kind_t scalar_kind) noexcept

inline std::size_t dimensions() const noexcept

inline metric_kind_t metric_kind() const noexcept

inline scalar_kind_t scalar_kind() const noexcept

inline explicit operator bool() const noexcept

inline bool missing() const noexcept

Checks if we’ve failed to initialize the metric with provided arguments.

It’s different from operator bool() when it comes to explicitly uninitialized metrics. It’s a common case, where a NULL state is created only to be overwritten later, when we recover an old index state from a file or a network.

inline char const *isa_name() const noexcept

inline std::size_t bytes_per_vector() const noexcept

inline std::size_t scalar_words() const noexcept

Public Static Functions

static inline metric_punned_t builtin(std::size_t dimensions, metric_kind_t metric_kind = metric_kind_t::l2sq_k, scalar_kind_t scalar_kind = scalar_kind_t::f32_k) noexcept

Creates a metric of a natively supported kind, choosing the best available backend internally or from SimSIMD.

Parameters:

• dimensions – The number of elements in the input arrays.

• metric_kind – The kind of metric to use.

• scalar_kind – The kind of scalar to use.

Returns:

A metric object that can be used to compute distances between vectors.

static inline metric_punned_t stateless(std::size_t dimensions, std::uintptr_t metric_uintptr, metric_punned_signature_t signature, metric_kind_t metric_kind, scalar_kind_t scalar_kind) noexcept

Creates a metric using the provided function pointer for a stateless metric. So the provided ::metric_uintptr is a pointer to a function that takes two arrays and returns a scalar. If the ::signature is metric_punned_signature_t::array_array_size_k, then the third argument is the number of scalar words in the input vectors.

Parameters:

• dimensions – The number of elements in the input arrays.

• metric_uintptr – The function pointer to the metric function.

• signature – The signature of the metric function.

• metric_kind – The kind of metric to use.

• scalar_kind – The kind of scalar to use.

Returns:

A metric object that can be used to compute distances between vectors.

static inline metric_punned_t stateful(std::size_t dimensions, std::uintptr_t metric_uintptr, std::uintptr_t metric_state, metric_kind_t metric_kind = metric_kind_t::unknown_k, scalar_kind_t scalar_kind = scalar_kind_t::unknown_k) noexcept

Creates a metric using the provided function pointer for a stateful metric. The third argument is the state that will be passed to the metric function.

Parameters:

• dimensions – The number of elements in the input arrays.

• metric_uintptr – The function pointer to the metric function.

• metric_state – The state to pass to the metric function.

• metric_kind – The kind of metric to use.

• scalar_kind – The kind of scalar to use.

Returns:

A metric object that can be used to compute distances between vectors.

Private Types

using uptr_t = std::size_t

In the generalized function API all the are arguments are pointer-sized.

using metric_array_array_t = result_t (*)(uptr_t, uptr_t)

Distance function that takes two arrays and returns a scalar.

using metric_array_array_size_t = result_t (*)(uptr_t, uptr_t, uptr_t)

Distance function that takes two arrays and their length and returns a scalar.

using metric_array_array_state_t = result_t (*)(uptr_t, uptr_t, uptr_t)

Distance function that takes two arrays and some callback state and returns a scalar.

using metric_routed_t = result_t (metric_punned_t::*)(uptr_t, uptr_t) const

Distance function callback, like metric_array_array_size_t, but depends on member variables.

Private Functions

inline bool configure_with_simsimd() noexcept

inline result_t invoke_array_array_third(uptr_t a, uptr_t b) const noexcept

inline result_t invoke_array_array(uptr_t a, uptr_t b) const noexcept

inline void configure_with_autovec() noexcept

Private Members

metric_routed_t metric_routed_ = nullptr

uptr_t metric_ptr_ = 0

uptr_t metric_third_arg_ = 0

std::size_t dimensions_ = 0

metric_kind_t metric_kind_ = metric_kind_t::unknown_k

scalar_kind_t scalar_kind_ = scalar_kind_t::unknown_k

Private Static Functions

template<typename typed_at>
static inline result_t equidimensional_(uptr_t a, uptr_t b, uptr_t a_dimensions) noexcept

template<typename scalar_at>
class matrix_slice_gt

#include <index_plugins.hpp>

View over a potentially-strided memory buffer, containing a row-major matrix.

Public Functions

matrix_slice_gt() noexcept = default

matrix_slice_gt(matrix_slice_gt const&) noexcept = default

matrix_slice_gt &operator=(matrix_slice_gt const&) noexcept = default

inline matrix_slice_gt(scalar_t *begin, std::size_t dimensions, std::size_t count = 1) noexcept

inline matrix_slice_gt(scalar_t *begin, std::size_t dimensions, std::size_t count, std::size_t stride_bytes) noexcept

inline explicit operator bool() const noexcept

inline std::size_t size() const noexcept

inline std::size_t dimensions() const noexcept

inline std::size_t stride_bytes() const noexcept

inline scalar_t *data() const noexcept

inline scalar_t *at(std::size_t i) const noexcept

Private Types

using scalar_t = scalar_at

using byte_addressable_t = typename std::conditional<std::is_const<scalar_t>::value, byte_t const, byte_t>::type

Private Members

scalar_t *begin_ = {}

std::size_t dimensions_ = {}

std::size_t count_ = {}

std::size_t stride_bytes_ = {}

struct exact_offset_and_distance_t

#include <index_plugins.hpp>

Public Members

u32_t offset

f32_t distance

class exact_search_t

#include <index_plugins.hpp>

Helper-structure for exact search operations. Perfect if you have <1M vectors and <100 queries per call.

Uses a 3-step procedure to minimize:

• cache-misses on vector lookups,

• multi-threaded contention on concurrent writes.

Public Functions

template<typename scalar_at, typename executor_at = dummy_executor_t, typename progress_at = dummy_progress_t>
inline exact_search_results_t operator()(matrix_slice_gt<scalar_at const> dataset, matrix_slice_gt<scalar_at const> queries, std::size_t wanted, metric_punned_t const &metric, executor_at &&executor = executor_at{}, progress_at &&progress = progress_at{})

template<typename executor_at = dummy_executor_t, typename progress_at = dummy_progress_t>
inline exact_search_results_t operator()(byte_t const *dataset_data, std::size_t dataset_count, std::size_t dataset_stride, byte_t const *queries_data, std::size_t queries_count, std::size_t queries_stride, std::size_t wanted, metric_punned_t const &metric, executor_at &&executor = executor_at{}, progress_at &&progress = progress_at{})

Private Types

using keys_and_distances_t = buffer_gt<exact_offset_and_distance_t>

Private Members

keys_and_distances_t keys_and_distances

Private Static Functions

static inline bool smaller_distance(exact_offset_and_distance_t a, exact_offset_and_distance_t b) noexcept

struct kmeans_clustering_result_t

#include <index_plugins.hpp>

Public Functions

inline explicit operator bool() const noexcept

inline kmeans_clustering_result_t failed(error_t message) noexcept

Public Members

error_t error = {}

std::size_t computed_distances = {}

std::size_t iterations = {}

The number of iterations the algorithm took to converge.

std::size_t last_iteration_points_shifted = {}

The number of points that changed clusters in the last iteration.

f64_t last_iteration_inertia = {}

The inertia of the last iteration (sum of squared distances to centroids).

f64_t runtime_seconds = {}

The total elapsed runtime of the algorithm in seconds.

f64_t aggregate_distance = {}

The total distance between the points and their assigned centroids.

template<typename allocator_at = std::allocator<char>>
class kmeans_clustering_gt

#include <index_plugins.hpp>

Helper-class for K-Means clustering of dense vectors. Doesn’t require constructing the index, but benefits from mixed-precision logic. ! Doesn’t guarantee that the clusters are balanced in size.

The algorithm is as follows:

• Initialization: Select K initial centroids (randomly or with a heuristic).

• Assignment: Assign each data point to the nearest centroid based on the Euclidean distance.

• Update: Recalculate the centroids as the mean of all points assigned to each centroid.

• Repeat: Repeat the assignment and update steps until the centroids no longer change significantly or an early-exit condition is met.

Public Types

using distance_t = distance_punned_t

Public Functions

inline kmeans_clustering_gt(std::uint64_t seed) noexcept

inline kmeans_clustering_gt() noexcept(false)

kmeans_clustering_gt(kmeans_clustering_gt const&) = default

kmeans_clustering_gt &operator=(kmeans_clustering_gt const&) = default

template<typename scalar_at, typename executor_at = dummy_executor_t, typename progress_at = dummy_progress_t>
inline kmeans_clustering_result_t operator()(matrix_slice_gt<scalar_at const> points, matrix_slice_gt<scalar_at> centroids, span_gt<std::size_t> point_to_centroid_index, span_gt<distance_t> point_to_centroid_distance, executor_at &&executor = executor_at{}, progress_at &&progress = progress_at{})

template<typename executor_at = dummy_executor_t, typename progress_at = dummy_progress_t>
inline kmeans_clustering_result_t operator()(byte_t const *points_data, std::size_t points_count, std::size_t points_stride_bytes, byte_t *centroids_data, std::size_t wanted_clusters, std::size_t centroids_stride_bytes, std::size_t *point_to_centroid_index, distance_t *point_to_centroid_distance, scalar_kind_t original_scalar_kind, std::size_t dimensions, executor_at &&executor = executor_at{}, progress_at &&progress = progress_at{})

Public Members

metric_kind_t metric_kind = {metric_kind_t::l2sq_k}

scalar_kind_t quantization_kind = {scalar_kind_t::bf16_k}

std::size_t max_iterations = {max_iterations_default_k}

Early-exit parameter - the maximum number of iterations to perform.

f64_t inertia_threshold = {inertia_threshold_default_k}

Early-exit parameter - the threshold for the final inertia to terminate early.

f64_t max_seconds = {max_seconds_default_k}

Early-exit parameter - the maximum runtime allowed in seconds.

f64_t min_shifts = {min_shifts_default_k}

Early-exit parameter - the minimum share of points that must change clusters per iteration.

std::uint64_t seed = {0}

The random seed to use for centroid initialization.

Public Static Attributes

static constexpr std::size_t max_iterations_default_k = 300

static constexpr f64_t inertia_threshold_default_k = 1e-4

static constexpr f64_t max_seconds_default_k = 60.0

static constexpr f64_t min_shifts_default_k = 0.01

template<typename element_at, typename hash_at, typename equals_at, typename allocator_at = std::allocator<char>>
class flat_hash_multi_set_gt

#include <index_plugins.hpp>

C++11 Multi-Hash-Set with Linear Probing.

• Allows multiple equivalent values,

• Supports transparent hashing and equality operator.

• Doesn’t throw exceptions, if forbidden.

• Doesn’t need reserving a value for deletions.

Layout

For every slot we store 2 extra bits for 3 possible states: empty, populated, or deleted. With linear probing the hashes at the end of the populated region will spill into its first half.

Public Types

using element_t = element_at

using hash_t = hash_at

using equals_t = equals_at

using allocator_t = allocator_at

Public Functions

inline std::size_t size() const noexcept

inline std::size_t capacity() const noexcept

inline flat_hash_multi_set_gt() noexcept

inline ~flat_hash_multi_set_gt() noexcept

inline flat_hash_multi_set_gt(flat_hash_multi_set_gt const &other)

inline flat_hash_multi_set_gt &operator=(flat_hash_multi_set_gt const &other)

inline void clear() noexcept

inline void reset() noexcept

inline bool try_reserve(std::size_t capacity) noexcept

template<typename query_at>
inline std::pair<equal_iterator_gt<query_at>, equal_iterator_gt<query_at>> equal_range(query_at const &query) const noexcept

Returns an iterator range of all elements matching the given query.

Technically, the second iterator points to the first empty slot after a range of equal values and non-equal values with similar hashes.

template<typename similar_at>
inline bool pop_first(similar_at &&query, element_t &popped_value) noexcept

template<typename similar_at>
inline std::size_t erase(similar_at &&query) noexcept

template<typename similar_at>
inline element_t const *find(similar_at &&query) const noexcept

inline element_t const *end() const noexcept

template<typename func_at>
inline void for_each(func_at &&func) const

template<typename similar_at>
inline std::size_t count(similar_at &&query) const noexcept

template<typename similar_at>
inline bool contains(similar_at &&query) const noexcept

inline void reserve(std::size_t capacity)

inline bool try_emplace(element_t const &element) noexcept

Public Static Functions

static inline constexpr std::size_t slots_per_bucket()

static inline constexpr std::size_t bytes_per_bucket()

Private Functions

inline slot_ref_t slot_ref(char *data, std::size_t slot_index) const noexcept

inline slot_ref_t slot_ref(std::size_t slot_index) const noexcept

inline bool populate_slot(slot_ref_t slot, element_t const &new_element)

Private Members

char *data_ = nullptr

std::size_t buckets_ = 0

std::size_t populated_slots_ = 0

std::size_t capacity_slots_ = 0

Number of slots.

struct bucket_header_t

Public Members

std::uint64_t populated = {}

std::uint64_t deleted = {}

template<typename query_at>
class equal_iterator_gt

#include <index_plugins.hpp>

Public Types

using iterator_category = std::forward_iterator_tag

using value_type = element_t

using difference_type = std::ptrdiff_t

using pointer = element_t*

using reference = element_t&

Public Functions

inline equal_iterator_gt(std::size_t index, flat_hash_multi_set_gt *parent, query_at const &query, equals_t const &equals)

inline equal_iterator_gt &operator++()

inline equal_iterator_gt operator++(int)

inline reference operator*()

inline pointer operator->()

inline bool operator!=(equal_iterator_gt const &other) const

inline bool operator==(equal_iterator_gt const &other) const

Private Members

std::size_t index_

flat_hash_multi_set_gt *parent_

query_at query_

equals_t equals_

struct slot_ref_t

Public Members

bucket_header_t &header

std::uint64_t mask

element_t &element

usearch/index_dense.hpp

Single-header Vector Search engine for equi-dimensional dense vectors.

Author

Ash Vardanian

Date

July 26, 2023

Typedefs

using index_dense_head_buffer_t = byte_t[64]

using index_dense_t = index_dense_gt<>

using index_dense_big_t = index_dense_gt<uuid_t, uint40_t>

Functions

constexpr char const *default_magic()

The “magic” sequence helps infer the type of the file. USearch indexes start with the “usearch” string.

inline scalar_kind_t convert_pre_2_10_scalar_kind(scalar_kind_t scalar_kind) noexcept

Fixes serialized scalar-kind codes for pre-v2.10 versions, until we can upgrade to v3. The old enum scalar_kind_t is defined without explicit constants from 0.

inline void fix_pre_2_10_metadata(index_dense_head_t &head)

Fixes the metadata for pre-v2.10 versions, until we can upgrade to v3. Originates from: https://github.com/unum-cloud/usearch/issues/423.

inline index_dense_metadata_result_t index_dense_metadata_from_path(char const *file_path) noexcept

Extracts metadata from a pre-constructed index on disk, without loading it or mapping the whole binary file.

inline index_dense_metadata_result_t index_dense_metadata_from_buffer(memory_mapped_file_t const &file, std::size_t offset = 0) noexcept

Extracts metadata from a pre-constructed index serialized into an in-memory buffer.

template<typename men_key_at, typename women_key_at, typename men_slot_at, typename women_slot_at, typename man_to_woman_at = dummy_key_to_key_mapping_t, typename woman_to_man_at = dummy_key_to_key_mapping_t, typename executor_at = dummy_executor_t, typename progress_at = dummy_progress_t>
static join_result_t join(index_dense_gt<men_key_at, men_slot_at> const &men, index_dense_gt<women_key_at, women_slot_at> const &women, index_join_config_t config = {}, man_to_woman_at &&man_to_woman = man_to_woman_at{}, woman_to_man_at &&woman_to_man = woman_to_man_at{}, executor_at &&executor = executor_at{}, progress_at &&progress = progress_at{})

Adapts the Male-Optimal Stable Marriage algorithm for unequal sets to perform fast one-to-one matching between two large collections of vectors, using approximate nearest neighbors search.

Parameters:

• man_to_woman – [inout] Container to map ::first keys to ::second.

• woman_to_man – [inout] Container to map ::second keys to ::first.

• executor – [in] Thread-pool to execute the job in parallel.

• progress – [in] Callback to report the execution progress.

namespace unum

namespace usearch

Typedefs

using index_dense_head_buffer_t = byte_t[64]

using index_dense_t = index_dense_gt<>

using index_dense_big_t = index_dense_gt<uuid_t, uint40_t>

Functions

constexpr char const *default_magic()

The “magic” sequence helps infer the type of the file. USearch indexes start with the “usearch” string.

inline scalar_kind_t convert_pre_2_10_scalar_kind(scalar_kind_t scalar_kind) noexcept

Fixes serialized scalar-kind codes for pre-v2.10 versions, until we can upgrade to v3. The old enum scalar_kind_t is defined without explicit constants from 0.

inline void fix_pre_2_10_metadata(index_dense_head_t &head)

Fixes the metadata for pre-v2.10 versions, until we can upgrade to v3. Originates from: https://github.com/unum-cloud/usearch/issues/423.

inline index_dense_metadata_result_t index_dense_metadata_from_path(char const *file_path) noexcept

Extracts metadata from a pre-constructed index on disk, without loading it or mapping the whole binary file.

inline index_dense_metadata_result_t index_dense_metadata_from_buffer(memory_mapped_file_t const &file, std::size_t offset = 0) noexcept

Extracts metadata from a pre-constructed index serialized into an in-memory buffer.

template<typename men_key_at, typename women_key_at, typename men_slot_at, typename women_slot_at, typename man_to_woman_at = dummy_key_to_key_mapping_t, typename woman_to_man_at = dummy_key_to_key_mapping_t, typename executor_at = dummy_executor_t, typename progress_at = dummy_progress_t>
static join_result_t join(index_dense_gt<men_key_at, men_slot_at> const &men, index_dense_gt<women_key_at, women_slot_at> const &women, index_join_config_t config = {}, man_to_woman_at &&man_to_woman = man_to_woman_at{}, woman_to_man_at &&woman_to_man = woman_to_man_at{}, executor_at &&executor = executor_at{}, progress_at &&progress = progress_at{})

Adapts the Male-Optimal Stable Marriage algorithm for unequal sets to perform fast one-to-one matching between two large collections of vectors, using approximate nearest neighbors search.

Parameters:

• man_to_woman – [inout] Container to map ::first keys to ::second.

• woman_to_man – [inout] Container to map ::second keys to ::first.

• executor – [in] Thread-pool to execute the job in parallel.

• progress – [in] Callback to report the execution progress.

template<typename key_at = default_key_t, typename compressed_slot_at = default_slot_t>
class index_dense_gt

#include <index_dense.hpp>

Oversimplified type-punned index for equidimensional vectors with automatic down-casting, hardware-specific SIMD metrics, and ability to remove existing vectors, common in Semantic Caching applications.

Serialization

The serialized binary form of index_dense_gt is made up of three parts:

1. Binary matrix, aka the .bbin part,

2. Metadata about used metrics, number of used vs free slots,

3. The HNSW index in a binary form. The first (1.) generally starts with 2 integers - number of rows (vectors) and single-byte columns. The second (2.) starts with “usearch”-magic-string, used to infer the file type on open. The third (3.) is implemented by the underlying index_gt class.

Public Types

using vector_key_t = key_at

using key_t = vector_key_t

using compressed_slot_t = compressed_slot_at

using distance_t = distance_punned_t

using metric_t = metric_punned_t

using member_ref_t = member_ref_gt<vector_key_t>

using member_cref_t = member_cref_gt<vector_key_t>

using head_t = index_dense_head_t

using head_buffer_t = index_dense_head_buffer_t

using head_result_t = index_dense_head_result_t

using serialization_config_t = index_dense_serialization_config_t

using dynamic_allocator_t = aligned_allocator_gt<byte_t, 64>

using tape_allocator_t = memory_mapping_allocator_gt<64>

using cluster_result_t = typename index_t::cluster_result_t

using add_result_t = typename index_t::add_result_t

using stats_t = typename index_t::stats_t

using match_t = typename index_t::match_t

using copy_result_t = state_result_t

Public Functions

index_dense_gt() = default

inline index_dense_gt(index_dense_gt &&other)

inline index_dense_gt &operator=(index_dense_gt &&other)

inline void swap(index_dense_gt &other)

Swaps the contents of this index with another index.

Parameters:

other – The other index to swap with.

inline ~index_dense_gt()

inline explicit operator bool() const

inline std::size_t connectivity() const

inline std::size_t size() const

inline std::size_t capacity() const

inline std::size_t max_level() const

inline index_dense_config_t const &config() const

inline index_limits_t const &limits() const

inline double inverse_log_connectivity() const

inline std::size_t neighbors_base_bytes() const

inline std::size_t neighbors_bytes() const

inline bool multi() const

inline std::size_t currently_available_threads() const

inline metric_t const &metric() const

inline void change_metric(metric_t metric)

inline scalar_kind_t scalar_kind() const

inline metric_kind_t metric_kind() const

inline std::size_t bytes_per_vector() const

inline std::size_t scalar_words() const

inline std::size_t dimensions() const

inline std::size_t expansion_add() const

inline std::size_t expansion_search() const

inline void change_expansion_add(std::size_t n)

inline void change_expansion_search(std::size_t n)

inline member_citerator_t cbegin() const

inline member_citerator_t cend() const

inline member_iterator_t begin()

inline member_iterator_t end()

inline stats_t stats() const

inline stats_t stats(std::size_t level) const

inline stats_t stats(stats_t *stats_per_level, std::size_t max_level) const

inline dynamic_allocator_t const &allocator() const

inline vector_key_t const &free_key() const

inline std::size_t memory_usage() const

A relatively accurate lower bound on the amount of memory consumed by the system. In practice it’s error will be below 10%.

See also

serialized_length for the length of the binary serialized representation.

inline add_result_t add(vector_key_t key, b1x8_t const *vector, std::size_t thread = any_thread(), bool force_vector_copy = true)

inline add_result_t add(vector_key_t key, i8_t const *vector, std::size_t thread = any_thread(), bool force_vector_copy = true)

inline add_result_t add(vector_key_t key, f16_t const *vector, std::size_t thread = any_thread(), bool force_vector_copy = true)

inline add_result_t add(vector_key_t key, f32_t const *vector, std::size_t thread = any_thread(), bool force_vector_copy = true)

inline add_result_t add(vector_key_t key, f64_t const *vector, std::size_t thread = any_thread(), bool force_vector_copy = true)

inline search_result_t search(b1x8_t const *vector, std::size_t wanted, std::size_t thread = any_thread(), bool exact = false) const

inline search_result_t search(i8_t const *vector, std::size_t wanted, std::size_t thread = any_thread(), bool exact = false) const

inline search_result_t search(f16_t const *vector, std::size_t wanted, std::size_t thread = any_thread(), bool exact = false) const

inline search_result_t search(f32_t const *vector, std::size_t wanted, std::size_t thread = any_thread(), bool exact = false) const

inline search_result_t search(f64_t const *vector, std::size_t wanted, std::size_t thread = any_thread(), bool exact = false) const

template<typename predicate_at>
inline search_result_t filtered_search(b1x8_t const *vector, std::size_t wanted, predicate_at &&predicate, std::size_t thread = any_thread(), bool exact = false) const

template<typename predicate_at>
inline search_result_t filtered_search(i8_t const *vector, std::size_t wanted, predicate_at &&predicate, std::size_t thread = any_thread(), bool exact = false) const

template<typename predicate_at>
inline search_result_t filtered_search(f16_t const *vector, std::size_t wanted, predicate_at &&predicate, std::size_t thread = any_thread(), bool exact = false) const

template<typename predicate_at>
inline search_result_t filtered_search(f32_t const *vector, std::size_t wanted, predicate_at &&predicate, std::size_t thread = any_thread(), bool exact = false) const

template<typename predicate_at>
inline search_result_t filtered_search(f64_t const *vector, std::size_t wanted, predicate_at &&predicate, std::size_t thread = any_thread(), bool exact = false) const

inline std::size_t get(vector_key_t key, b1x8_t *vector, std::size_t vectors_count = 1) const

inline std::size_t get(vector_key_t key, i8_t *vector, std::size_t vectors_count = 1) const

inline std::size_t get(vector_key_t key, f16_t *vector, std::size_t vectors_count = 1) const

inline std::size_t get(vector_key_t key, f32_t *vector, std::size_t vectors_count = 1) const

inline std::size_t get(vector_key_t key, f64_t *vector, std::size_t vectors_count = 1) const

inline cluster_result_t cluster(b1x8_t const *vector, std::size_t level, std::size_t thread = any_thread()) const

inline cluster_result_t cluster(i8_t const *vector, std::size_t level, std::size_t thread = any_thread()) const

inline cluster_result_t cluster(f16_t const *vector, std::size_t level, std::size_t thread = any_thread()) const

inline cluster_result_t cluster(f32_t const *vector, std::size_t level, std::size_t thread = any_thread()) const

inline cluster_result_t cluster(f64_t const *vector, std::size_t level, std::size_t thread = any_thread()) const

inline aggregated_distances_t distance_between(vector_key_t key, b1x8_t const *vector, std::size_t thread = any_thread()) const

inline aggregated_distances_t distance_between(vector_key_t key, i8_t const *vector, std::size_t thread = any_thread()) const

inline aggregated_distances_t distance_between(vector_key_t key, f16_t const *vector, std::size_t thread = any_thread()) const

inline aggregated_distances_t distance_between(vector_key_t key, f32_t const *vector, std::size_t thread = any_thread()) const

inline aggregated_distances_t distance_between(vector_key_t key, f64_t const *vector, std::size_t thread = any_thread()) const

inline aggregated_distances_t distance_between(vector_key_t a, vector_key_t b, std::size_t = any_thread()) const

Computes the distance between two managed entities. If either key maps into more than one vector, will aggregate results exporting the mean, maximum, and minimum values.

inline cluster_result_t cluster(vector_key_t key, std::size_t level, std::size_t thread = any_thread()) const

Identifies a node in a given level, that is the closest to the key.

inline bool try_reserve(index_limits_t limits)

Reserves memory for the index and the keyed lookup.

! No update or search operations should be running during this operation.

Returns:

true if the memory reservation was successful, false otherwise.

inline void reserve(index_limits_t limits)

inline void clear()

Erases all the vectors from the index.

Will change size() to zero, but will keep the same capacity(). Will keep the number of available threads/contexts the same as it was.

inline void reset()

Erases all members from index, closing files, and returning RAM to OS.

Will change both size() and capacity() to zero. Will deallocate all threads/contexts. If the index is memory-mapped - releases the mapping and the descriptor.

template<typename output_callback_at, typename progress_at = dummy_progress_t>
inline serialization_result_t save_to_stream(output_callback_at &&output, serialization_config_t config = {}, progress_at &&progress = {}) const

Saves serialized binary index representation to a stream.

inline std::size_t serialized_length(serialization_config_t config = {}) const

Estimate the binary length (in bytes) of the serialized index.

template<typename input_callback_at, typename progress_at = dummy_progress_t>
inline serialization_result_t load_from_stream(input_callback_at &&input, serialization_config_t config = {}, progress_at &&progress = {})

Parses the index from file to RAM.

Parameters:

• path – [in] The path to the file.

• config – [in] Configuration parameters for imports.

Returns:

Outcome descriptor explicitly convertible to boolean.

template<typename progress_at = dummy_progress_t>
inline serialization_result_t view(memory_mapped_file_t file, std::size_t offset = 0, serialization_config_t config = {}, progress_at &&progress = {})

Parses the index from file, without loading it into RAM.

Parameters:

• path – [in] The path to the file.

• config – [in] Configuration parameters for imports.

Returns:

Outcome descriptor explicitly convertible to boolean.

template<typename progress_at = dummy_progress_t>
inline serialization_result_t save(output_file_t file, serialization_config_t config = {}, progress_at &&progress = {}) const

Saves the index to a file.

Parameters:

• path – [in] The path to the file.

• config – [in] Configuration parameters for exports.

Returns:

Outcome descriptor explicitly convertible to boolean.

template<typename progress_at = dummy_progress_t>
inline serialization_result_t save(memory_mapped_file_t file, std::size_t offset = 0, serialization_config_t config = {}, progress_at &&progress = {}) const

Memory-maps the serialized binary index representation from disk, without copying data into RAM, and fetching it on-demand.

template<typename progress_at = dummy_progress_t>
inline serialization_result_t load(input_file_t file, serialization_config_t config = {}, progress_at &&progress = {})

Parses the index from file to RAM.

Parameters:

• path – [in] The path to the file.

• config – [in] Configuration parameters for imports.

Returns:

Outcome descriptor explicitly convertible to boolean.

template<typename progress_at = dummy_progress_t>
inline serialization_result_t load(memory_mapped_file_t file, std::size_t offset = 0, serialization_config_t config = {}, progress_at &&progress = {})

Memory-maps the serialized binary index representation from disk, without copying data into RAM, and fetching it on-demand.

template<typename progress_at = dummy_progress_t>
inline serialization_result_t save(char const *file_path, serialization_config_t config = {}, progress_at &&progress = {}) const

template<typename progress_at = dummy_progress_t>
inline serialization_result_t load(char const *file_path, serialization_config_t config = {}, progress_at &&progress = {})

inline bool contains(vector_key_t key) const

Checks if a vector with specified key is present.

Returns:

true if the key is present in the index, false otherwise.

inline std::size_t count(vector_key_t key) const

Count the number of vectors with specified key present.

Returns:

Zero if nothing is found, a positive integer otherwise.

inline labeling_result_t remove(vector_key_t key)

Removes an entry with the specified key from the index.

Parameters:

key – [in] The key of the entry to remove.

Returns:

The ::labeling_result_t indicating the result of the removal operation. If the removal was successful, result.completed will be true. If the key was not found in the index, result.completed will be false. If an error occurred during the removal operation, result.error will contain an error message.

template<typename keys_iterator_at>
inline labeling_result_t remove(keys_iterator_at keys_begin, keys_iterator_at keys_end)

Removes multiple entries with the specified keys from the index.

Parameters:

• keys_begin – [in] The beginning of the keys range.

• keys_end – [in] The ending of the keys range.

Returns:

The ::labeling_result_t indicating the result of the removal operation. result.completed will contain the number of keys that were successfully removed. result.error will contain an error message if an error occurred during the removal operation.

inline labeling_result_t rename(vector_key_t from, vector_key_t to)

Renames an entry with the specified key to a new key.

Parameters:

• from – [in] The current key of the entry to rename.

• to – [in] The new key to assign to the entry.

Returns:

The ::labeling_result_t indicating the result of the rename operation. If the rename was successful, result.completed will be true. If the entry with the current key was not found, result.completed will be false.

inline void export_keys(vector_key_t *keys, std::size_t offset, std::size_t limit) const

Exports a range of keys for the vectors present in the index.

Parameters:

• keys – [out] Pointer to the array where the keys will be exported.

• offset – [in] The number of keys to skip. Useful for pagination.

• limit – [in] The maximum number of keys to export, that can fit in ::keys.

inline copy_result_t copy(index_dense_copy_config_t config = {}) const

Copies the ::index_dense_gt with all the data in it.

Parameters:

config – The copy configuration (optional).

Returns:

A copy of the ::index_dense_gt instance.

inline copy_result_t fork() const

Copies the ::index_dense_gt model without any data.

Returns:

A similarly configured ::index_dense_gt instance.

template<typename executor_at = dummy_executor_t, typename progress_at = dummy_progress_t>
inline compaction_result_t isolate(executor_at &&executor = executor_at{}, progress_at &&progress = progress_at{})

Performs compaction on the index, pruning links to removed entries.

Parameters:

• executor – The executor parallel processing. Default ::dummy_executor_t single-threaded.

• progress – The progress tracker instance to use. Default ::dummy_progress_t reports nothing.

Returns:

The ::compaction_result_t indicating the result of the compaction operation. result.pruned_edges will contain the number of edges that were removed. result.error will contain an error message if an error occurred during the compaction operation.

template<typename executor_at = dummy_executor_t, typename progress_at = dummy_progress_t>
inline compaction_result_t compact(executor_at &&executor = executor_at{}, progress_at &&progress = progress_at{})

Performs compaction on the index, pruning links to removed entries.

Parameters:

• executor – The executor parallel processing. Default ::dummy_executor_t single-threaded.

• progress – The progress tracker instance to use. Default ::dummy_progress_t reports nothing.

Returns:

The ::compaction_result_t indicating the result of the compaction operation. result.pruned_edges will contain the number of edges that were removed. result.error will contain an error message if an error occurred during the compaction operation.

template<typename man_to_woman_at = dummy_key_to_key_mapping_t, typename woman_to_man_at = dummy_key_to_key_mapping_t, typename executor_at = dummy_executor_t, typename progress_at = dummy_progress_t>
inline join_result_t join(index_dense_gt const &women, index_join_config_t config = {}, man_to_woman_at &&man_to_woman = man_to_woman_at{}, woman_to_man_at &&woman_to_man = woman_to_man_at{}, executor_at &&executor = executor_at{}, progress_at &&progress = progress_at{}) const

template<typename queries_iterator_at, typename executor_at = dummy_executor_t, typename progress_at = dummy_progress_t>
inline clustering_result_t cluster(queries_iterator_at queries_begin, queries_iterator_at queries_end, index_dense_clustering_config_t config, vector_key_t *cluster_keys, distance_t *cluster_distances, executor_at &&executor = executor_at{}, progress_at &&progress = progress_at{})

Implements clustering, classifying the given objects (vectors of member keys) into a given number of clusters.

Parameters:

• queries_begin – [in] Iterator pointing to the first query.

• queries_end – [in] Iterator pointing to the last query.

• executor – [in] Thread-pool to execute the job in parallel.

• progress – [in] Callback to report the execution progress.

• config – [in] Configuration parameters for clustering.

• cluster_keys – [out] Pointer to the array where the cluster keys will be exported.

• cluster_distances – [out] Pointer to the array where the distances to those centroids will be exported.

Public Static Functions

static inline state_result_t make(metric_t metric = {}, index_dense_config_t config = {}, vector_key_t free_key = default_free_value<vector_key_t>())

Constructs an instance of ::index_dense_gt.

! If the metric isn’t provided in this method, it has to be set with ! the change_metric method before the index can be used. Alternatively, ! if you are loading an existing index, the metric will be set automatically.

Parameters:

• metric – [in] One of the provided or an ad-hoc metric, type-punned.

• config – [in] The index configuration (optional).

• free_key – [in] The key used for freed vectors (optional).

Returns:

An instance of ::index_dense_gt or error, wrapped in a state_result_t.

static inline state_result_t make(char const *path, bool view = false)

Constructs an instance of ::index_dense_gt from a serialized binary file.

Parameters:

• path – [in] The path to the binary file.

• view – [in] Whether to map the file into memory or load it.

Returns:

An instance of ::index_dense_gt or error, wrapped in a state_result_t.

static inline constexpr std::size_t any_thread()

static inline constexpr distance_t infinite_distance()

Private Types

using index_t = index_gt<distance_t, vector_key_t, compressed_slot_t, dynamic_allocator_t, tape_allocator_t>

Punned index.

using index_allocator_t = aligned_allocator_gt<index_t, 64>

using member_iterator_t = typename index_t::member_iterator_t

using member_citerator_t = typename index_t::member_citerator_t

using cast_buffer_t = buffer_gt<byte_t, dynamic_allocator_t>

using vectors_tape_allocator_t = memory_mapping_allocator_gt<8>

using vectors_lookup_allocator_t = aligned_allocator_gt<byte_t*, 64>

using vectors_lookup_t = buffer_gt<byte_t*, vectors_lookup_allocator_t>

using available_threads_allocator_t = aligned_allocator_gt<std::size_t, 64>

using available_threads_t = ring_gt<std::size_t, available_threads_allocator_t>

using shared_mutex_t = unfair_shared_mutex_t

using shared_lock_t = shared_lock_gt<shared_mutex_t>

using unique_lock_t = std::unique_lock<shared_mutex_t>

Private Functions

inline thread_lock_t thread_lock_ (std::size_t thread_id) const usearch_noexcept_m

inline void thread_unlock_ (std::size_t thread_id) const usearch_noexcept_m

template<typename scalar_at>
inline add_result_t add_(vector_key_t key, scalar_at const *vector, std::size_t thread, bool force_vector_copy, cast_punned_t const &cast)

template<typename scalar_at, typename predicate_at>
inline search_result_t search_(scalar_at const *vector, std::size_t wanted, predicate_at &&predicate, std::size_t thread, bool exact, cast_punned_t const &cast) const

template<typename scalar_at>
inline cluster_result_t cluster_(scalar_at const *vector, std::size_t level, std::size_t thread, cast_punned_t const &cast) const

template<typename scalar_at>
inline aggregated_distances_t distance_between_(vector_key_t key, scalar_at const *vector, std::size_t thread, cast_punned_t const &cast) const

inline void reindex_keys_()

template<typename scalar_at>
inline std::size_t get_(vector_key_t key, scalar_at *reconstructed, std::size_t vectors_limit, cast_punned_t const &cast) const

Private Members

index_dense_config_t config_

index_t *typed_ = nullptr

mutable cast_buffer_t cast_buffer_

Temporary memory for every thread to store a casted vector.

casts_punned_t casts_

metric_t metric_

An instance of a potentially stateful metric_t used to initialize copies and forks.

vectors_tape_allocator_t vectors_tape_allocator_

Allocator for the copied vectors, aligned to widest double-precision scalars.

mutable vectors_lookup_t vectors_lookup_

For every managed compressed_slot_t stores a pointer to the allocated vector copy.

mutable available_threads_t available_threads_

Originally forms and array of integers [0, threads], marking all as available.

mutable std::mutex available_threads_mutex_

Mutex, controlling concurrent access to available_threads_.

flat_hash_multi_set_gt<key_and_slot_t, lookup_key_hash_t, lookup_key_same_t> slot_lookup_

Multi-Map from keys to IDs, and allocated vectors.

mutable shared_mutex_t slot_lookup_mutex_

Mutex, controlling concurrent access to slot_lookup_.

ring_gt<compressed_slot_t> free_keys_

Ring-shaped queue of deleted entries, to be reused on future insertions.

mutable std::mutex free_keys_mutex_

Mutex, controlling concurrent access to free_keys_.

vector_key_t free_key_ = default_free_value<vector_key_t>()

A constant for the reserved key value, used to mark deleted entries.

struct aggregated_distances_t

#include <index_dense.hpp>

Public Members

std::size_t count = 0

distance_t mean = infinite_distance()

distance_t min = infinite_distance()

distance_t max = infinite_distance()

struct clustering_result_t

#include <index_dense.hpp>

Public Functions

inline explicit operator bool() const noexcept

inline clustering_result_t failed(error_t message) noexcept

Public Members

error_t error = {}

std::size_t clusters = {}

std::size_t visited_members = {}

std::size_t computed_distances = {}

struct compaction_result_t

#include <index_dense.hpp>

Public Functions

inline explicit operator bool() const noexcept

inline compaction_result_t failed(error_t message) noexcept

Public Members

error_t error = {}

std::size_t pruned_edges = {}

struct key_and_slot_t

Public Functions

inline bool any_slot() const

Public Members

vector_key_t key

compressed_slot_t slot

Public Static Functions

static inline key_and_slot_t any_slot(vector_key_t key)

struct labeling_result_t

#include <index_dense.hpp>

Public Functions

inline explicit operator bool() const noexcept

inline labeling_result_t failed(error_t message) noexcept

Public Members

error_t error = {}

std::size_t completed = {}

struct lookup_key_hash_t

Public Types

using is_transparent = void

Public Functions

inline std::size_t operator()(key_and_slot_t const &k) const noexcept

inline std::size_t operator()(vector_key_t const &k) const noexcept

struct lookup_key_same_t

Public Types

using is_transparent = void

Public Functions

inline bool operator()(key_and_slot_t const &a, vector_key_t const &b) const noexcept

inline bool operator()(vector_key_t const &a, key_and_slot_t const &b) const noexcept

inline bool operator()(key_and_slot_t const &a, key_and_slot_t const &b) const noexcept

class metric_proxy_t

Punned metric object.

Public Functions

inline metric_proxy_t(index_dense_gt const &index) noexcept

inline distance_t operator()(byte_t const *a, member_cref_t b) const noexcept

inline distance_t operator()(member_cref_t a, member_cref_t b) const noexcept

inline distance_t operator()(byte_t const *a, member_citerator_t b) const noexcept

inline distance_t operator()(member_citerator_t a, member_citerator_t b) const noexcept

inline distance_t operator()(byte_t const *a, byte_t const *b) const noexcept

inline byte_t const *v(member_cref_t m) const noexcept

inline byte_t const *v(member_citerator_t m) const noexcept

inline distance_t f(byte_t const *a, byte_t const *b) const noexcept

Private Members

index_dense_gt const *index_ = nullptr

struct search_result_t : public unum::usearch::index_gt<distance_at, key_at, compressed_slot_at, dynamic_allocator_at, tape_allocator_at>::search_result_t

#include <index_dense.hpp>

A search result, containing the found keys and distances.

As the index_dense_gt manages the thread-pool on its own, the search result preserves the thread-lock to avoid undefined behaviors, when other threads start overwriting the results.

Public Functions

inline search_result_t(index_dense_gt const &parent) noexcept

inline search_result_t failed(error_t message) noexcept

Private Functions

inline search_result_t(typename index_t::search_result_t result, thread_lock_t lock) noexcept

Private Members

thread_lock_t lock_

Friends

friend class index_dense_gt

struct state_result_t

#include <index_dense.hpp>

Public Functions

inline explicit operator bool() const noexcept

inline state_result_t failed(error_t message) noexcept

inline operator index_dense_gt&&() &&

Public Members

index_dense_gt index

error_t error

struct thread_lock_t

Locks the thread for the duration of the operation.

Public Functions

inline  ~thread_lock_t () usearch_noexcept_m

thread_lock_t(thread_lock_t const&) = delete

thread_lock_t &operator=(thread_lock_t const&) = delete

inline thread_lock_t(index_dense_gt const &parent, std::size_t thread_id, bool engaged = true) noexcept

inline thread_lock_t(thread_lock_t &&other) noexcept

Public Members

index_dense_gt const &parent

std::size_t thread_id = 0

bool engaged = false

class values_proxy_t

#include <index_dense.hpp>

Public Functions

inline values_proxy_t(index_dense_gt const &index) noexcept

inline byte_t const *operator[](compressed_slot_t slot) const noexcept

inline byte_t const *operator[](member_citerator_t it) const noexcept

Private Members

index_dense_gt const *index_

struct index_dense_head_t

#include <index_dense.hpp>

Serialized binary representations of the USearch index start with metadata. Metadata is parsed into a index_dense_head_t, containing the USearch package version, and the properties of the index.

It uses: 13 bytes for file versioning, 22 bytes for structural information = 35 bytes. The following 24 bytes contain binary size of the graph, of the vectors, and the checksum, leaving 5 bytes at the end vacant.

Public Types

using magic_t = char[7]

using version_t = std::uint16_t

Public Functions

inline index_dense_head_t(byte_t *ptr) noexcept

Public Members

char const *magic

misaligned_ref_gt<version_t> version_major

misaligned_ref_gt<version_t> version_minor

misaligned_ref_gt<version_t> version_patch

misaligned_ref_gt<metric_kind_t> kind_metric

misaligned_ref_gt<scalar_kind_t> kind_scalar

misaligned_ref_gt<scalar_kind_t> kind_key

misaligned_ref_gt<scalar_kind_t> kind_compressed_slot

misaligned_ref_gt<std::uint64_t> count_present

misaligned_ref_gt<std::uint64_t> count_deleted

misaligned_ref_gt<std::uint64_t> dimensions

misaligned_ref_gt<bool> multi

struct index_dense_head_result_t

#include <index_dense.hpp>

Public Functions

inline explicit operator bool() const noexcept

inline index_dense_head_result_t failed(error_t message) noexcept

Public Members

index_dense_head_buffer_t buffer

index_dense_head_t head

error_t error

struct index_dense_config_t : public unum::usearch::index_config_t

#include <index_dense.hpp>

Configuration settings for the construction of dense equidimensional vector indexes.

Unlike the underlying index_gt class, incorporates the ::expansion_add and ::expansion_search parameters passed separately for the lower-level engine.

Public Functions

inline index_dense_config_t(index_config_t base) noexcept

inline index_dense_config_t(std::size_t c = 0, std::size_t ea = 0, std::size_t es = 0) noexcept

inline error_t validate() noexcept

Validates the configuration settings, updating them in-place.

Returns:

Error message, if any.

Public Members

std::size_t expansion_add = default_expansion_add()

std::size_t expansion_search = default_expansion_search()

bool exclude_vectors = false

Excludes vectors from the serialized file. This is handy when you want to store the vectors in a separate file.

! For advanced users only.

bool multi = false

Allows you to store multiple vectors per key. This is handy when a large document is chunked into many parts.

! May degrade the performance of iterators.

bool enable_key_lookups = true

Allows you to reduce RAM consumption by avoiding reverse-indexing keys-to-vectors, and only keeping the vectors-to-keys mappings.

! This configuration parameter doesn’t affect the serialized file, ! and is not preserved between runs. Makes sense for smaller vectors ! that fit in a couple of cache lines.

The trade-off is that some methods won’t be available, like get, rename, and remove. The basic functionality, like add and search will work as expected even with enable_key_lookups = false.

If both !multi && !enable_key_lookups, the “duplicate entry” checks won’t be performed and no errors will be raised.

struct index_dense_clustering_config_t

#include <index_dense.hpp>

Public Types

enum mode_t

Values:

enumerator merge_smallest_k

enumerator merge_closest_k

Public Members

std::size_t min_clusters = 0

std::size_t max_clusters = 0

enum unum::usearch::index_dense_clustering_config_t::mode_t mode = merge_smallest_k

struct index_dense_serialization_config_t

#include <index_dense.hpp>

Public Members

bool exclude_vectors = false

bool use_64_bit_dimensions = false

struct index_dense_copy_config_t : public unum::usearch::index_copy_config_t

#include <index_dense.hpp>

Public Functions

index_dense_copy_config_t() = default

inline index_dense_copy_config_t(index_copy_config_t base) noexcept

Public Members

bool force_vector_copy = true

struct index_dense_metadata_result_t

#include <index_dense.hpp>

Public Functions

inline explicit operator bool() const noexcept

inline index_dense_metadata_result_t failed(error_t message) noexcept

inline index_dense_metadata_result_t() noexcept

inline index_dense_metadata_result_t(index_dense_metadata_result_t &&other) noexcept

inline index_dense_metadata_result_t &operator=(index_dense_metadata_result_t &&other) noexcept

Public Members

index_dense_serialization_config_t config

index_dense_head_buffer_t head_buffer

index_dense_head_t head

error_t error