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atomic-fns

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Like Lodash, but for ESNext and with types. Stop shipping code built for browsers from 2015.

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import { Comparer } from '../operators/index.js'; import { Mapping } from './abc.js'; import { Iteratee } from '../types'; export declare class BTree<K = any, V = any> extends Mapping<K, V> { private root; count: number; _maxNodeSize: number; /** * provides a total order over keys (and a strict partial order over the type K) * @returns a negative value if a < b, 0 if a === b and a positive value if a > b */ _compare: Comparer; /** * Initializes an empty B+ tree. * @param {?Iterable<[K, V]>} [entries] The initial key value pairs. * @param compareFn Custom function to compare pairs of elements in the tree. * If not specified, defaultComparator will be used which is valid as long as K extends DefaultComparable. * @param entries A set of key-value pairs to initialize the tree * @param {number} [maxNodeSize=64] Branching factor (maximum items or children per node) * Must be in range 4..256. If undefined or <4 then default is used; if >256 then 256. */ constructor(entries?: Iterable<[K, V]>, compareFn?: Comparer, maxNodeSize?: number); /** Gets the number of key-value pairs in the tree. */ get size(): number; /** Releases the tree so that its size is 0. */ clear(): void; /** * Finds a pair in the tree and returns the associated value. * @param defaultValue a value to return if the key was not found. * @returns the value, or defaultValue if the key was not found. * @description Computational complexity: O(log size) */ get(key: K, defaultValue?: V): V | undefined; /** * Adds or overwrites a key-value pair in the B+ tree. * @param key the key is used to determine the sort order of * data in the tree. * @param value data to associate with the key (optional) * @returns true if a new key-value pair was added. * @description Computational complexity: O(log size) * Note: when overwriting a previous entry, the key is updated * as well as the value. This has no effect unless the new key * has data that does not affect its sort order. */ set(key: K, value: V): boolean; add(key: K): boolean; /** * Returns true if the key exists in the B+ tree, false if not. * @param key Key to detect * @description Computational complexity: O(log size) */ contains(key: K): boolean; /** * Removes a single key-value pair from the B+ tree. * @param key Key to find * @returns true if a pair was found and removed, false otherwise. * @description Computational complexity: O(log size) */ remove(key: K): boolean; /** Returns an iterator that provides items in order (ascending order if * the collection's comparator uses ascending order, as is the default.) * @param lowestKey First key to be iterated, or undefined to start at * minKey(). If the specified key doesn't exist then iteration * starts at the next higher key (according to the comparator). * @param reusedArray Optional array used repeatedly to store key-value * pairs, to avoid creating a new array on every iteration. */ entries(lowestKey?: K, reusedArray?: Array<K | V>): IterableIterator<[K, V]>; /** Returns an iterator that provides items in reversed order. * @param highestKey Key at which to start iterating, or undefined to * start at maxKey(). If the specified key doesn't exist then iteration * starts at the next lower key (according to the comparator). * @param reusedArray Optional array used repeatedly to store key-value * pairs, to avoid creating a new array on every iteration. * @param skipHighest Iff this flag is true and the highestKey exists in the * collection, the pair matching highestKey is skipped, not iterated. */ reversed(highestKey?: K, reusedArray?: Array<K | V>, skipHighest?: boolean): IterableIterator<[K, V]>; private findPath; /** Returns a new iterator for iterating the keys of each pair in ascending order. * @param firstKey: Minimum key to include in the output. */ keys(firstKey?: K): IterableIterator<K>; /** Gets the lowest key in the tree. Complexity: O(log size) */ minKey(): K; /** Gets the highest key in the tree. Complexity: O(1) */ maxKey(): K; /** Returns a new iterator for iterating the values of each pair in order by key. * @param firstKey: Minimum key whose associated value is included in the output. */ values(firstKey?: K): IterableIterator<V>; /** Returns the maximum number of children/values before nodes will split. */ get maxNodeSize(): number; /** Performs a deep cloning of the tree, immediately duplicating any nodes that are * not currently marked as shared, in order to avoid marking any * additional nodes as shared. * @param force Clone all nodes, even shared ones. */ clone(force?: boolean): BTree<K, V>; /** Gets an array filled with the contents of the tree, sorted by key */ toArray(): Array<[K, V]>; /** Gets a string representing the tree's data based on toArray(). */ toString(): string; /** Returns the next pair whose key is larger than the specified key (or undefined if there is none). * If key === undefined, this function returns the lowest pair. * @param key The key to search for. * @param reusedArray Optional array used repeatedly to store key-value pairs, to * avoid creating a new array on every iteration. */ lowerBound(key: K | undefined, reusedArray?: [K, V]): [K, V] | undefined; /** Returns the next key larger than the specified key, or undefined if there is none. * Also, nextHigherKey(undefined) returns the lowest key. */ /** Returns the next pair whose key is smaller than the specified key (or undefined if there is none). * If key === undefined, this function returns the highest pair. * @param key The key to search for. * @param reusedArray Optional array used repeatedly to store key-value pairs, to * avoid creating a new array each time you call this method. */ upperBound(key: K | undefined, reusedArray?: [K, V]): [K, V] | undefined; /** Returns the next key smaller than the specified key, or undefined if there is none. * Also, nextLowerKey(undefined) returns the highest key. */ /** Returns the key-value pair associated with the supplied key if it exists * or the pair associated with the next lower pair otherwise. If there is no * next lower pair, undefined is returned. * @param key The key to search for. * @param reusedArray Optional array used repeatedly to store key-value pairs, to * avoid creating a new array each time you call this method. * */ floor(key: K, reusedArray?: [K, V]): [K, V] | undefined; /** Returns the key-value pair associated with the supplied key if it exists * or the pair associated with the next lower pair otherwise. If there is no * next lower pair, undefined is returned. * @param key The key to search for. * @param reusedArray Optional array used repeatedly to store key-value pairs, to * avoid creating a new array each time you call this method. * */ ceiling(key: K, reusedArray?: [K, V]): [K, V] | undefined; /** * Builds an array of pairs from the specified range of keys, sorted by key. * Each returned pair is also an array: pair[0] is the key, pair[1] is the value. * @param low The first key in the array will be greater than or equal to `low`. * @param high This method returns when a key larger than this is reached. * @param includeHigh If the `high` key is present, its pair will be included * in the output if and only if this parameter is true. Note: if the * `low` key is present, it is always included in the output. * @param maxLength Length limit. getRange will stop scanning the tree when * the array reaches this size. * @description Computational complexity: O(result.length + log size) */ keysRange(low: K, high: K, includeHigh?: boolean, maxLength?: number): Array<[K, V]>; /** Adds all pairs from a list of key-value pairs. * @param entries Pairs to add to this tree. If there are duplicate keys, * later pairs currently overwrite earlier ones (e.g. [[0,1],[0,7]] * associates 0 with 7.) * @returns The number of pairs added to the collection. * @description Computational complexity: O(pairs.length * log(size + pairs.length)) */ extend(entries: Iterable<[K, V]>): number; /** * Scans the specified range of keys, in ascending order by key. * Note: the callback `onFound` must not insert or remove items in the * collection. Doing so may cause incorrect data to be sent to the * callback afterward. * @param low The first key scanned will be greater than or equal to `low`. * @param high Scanning stops when a key larger than this is reached. * @param includeHigh If the `high` key is present, `onFound` is called for * that final pair if and only if this parameter is true. * @param onFound A function that is called for each key-value pair. This * function can return {done:R} to stop early with result R. * @param initialCounter Initial third argument of onFound. This value * increases by one each time `onFound` is called. Default: 0 * @returns The number of values found, or R if the callback returned * `{done:R}` to stop early. * @description Computational complexity: O(number of items scanned + log size) */ rangeForEach<R = number>(low: K, high: K, includeHigh: boolean, onFound?: Iteratee<K, V>, initialCounter?: number): R | number; /** * Scans and potentially modifies values for a subsequence of keys. * Note: the callback `onFound` should ideally be a pure function. * Specifically, it must not insert items, call clone(), or change * the collection except via return value; out-of-band editing may * cause an exception or may cause incorrect data to be sent to * the callback (duplicate or missed items). It must not cause a * clone() of the collection, otherwise the clone could be modified * by changes requested by the callback. * @param low The first key scanned will be greater than or equal to `low`. * @param high Scanning stops when a key larger than this is reached. * @param includeHigh If the `high` key is present, `onFound` is called for * that final pair if and only if this parameter is true. * @param onFound A function that is called for each key-value pair. This * function can return `{value:v}` to change the value associated * with the current key, `{delete:true}` to delete the current pair, * `{done:R}` to stop early with result R, or it can return nothing * (undefined or {}) to cause no effect and continue iterating. * `{done:R}` can be combined with one of the other two commands. * The third argument `counter` is the number of items iterated * previously; it equals 0 when `onFound` is called the first time. * @returns The number of values scanned, or R if the callback returned * `{done:R}` to stop early. * @description * Computational complexity: O(number of items scanned + log size) * Note: if the tree has been cloned with clone(), any shared * nodes are copied before `onFound` is called. This takes O(n) time * where n is proportional to the amount of shared data scanned. */ rangeUpdate<R = V>(low: K, high: K, includeHigh: boolean, onFound: (k: K, v: V | undefined, counter: number) => any, initialCounter?: number): R | number; /** * Removes a range of key-value pairs from the B+ tree. * @param low The first key scanned will be greater than or equal to `low`. * @param high Scanning stops when a key larger than this is reached. * @param includeHigh Specifies whether the `high` key, if present, is deleted. * @returns The number of key-value pairs that were deleted. * @description Computational complexity: O(log size + number of items deleted) */ removeRange(low: K, high: K, includeHigh: boolean): number; /** Removes a series of keys from the collection. */ removeKeys(keys: K[]): number; /** Gets the height of the tree: the number of internal nodes between the * BTree object and its leaf nodes (zero if there are no internal nodes). */ get height(): number; /** Makes the object read-only to ensure it is not accidentally modified. * Freezing does not have to be permanent; unfreeze() reverses the effect. * This is accomplished by replacing mutator functions with a function * that throws an Error. Compared to using a property (e.g. this.isFrozen) * this implementation gives better performance in non-frozen BTrees. */ freeze(): void; [Symbol.iterator](): IterableIterator<[K, V]>; }