ankurp/Dollar

Features

• Swift Collection Extensions - Extends Swift arrays and dictionaries with generic methods for advanced manipulation and transformation.
• Transformation Chains - Wraps collections in a proxy object to apply multiple sequential transformations before extracting the final result.
• Array Transformations - Maps array elements to new values or flattens nested collections into a single-level array.
• Element Filtering - Provides predicate-based filtering to create subsets of arrays or remove empty values.
• Collection Element Transformations - Maps, flattens, or chunks elements into new formats and structures using callback functions.
• Collection Filtering - Creates new collections based on specific keys or by removing duplicate and empty values.
• Collection Groupings - Organizes collection elements into dictionaries based on callback functions or frequency counts.
• Dictionary Extraction and Cleaning - Extracts keys and values, merges dictionaries, or clones them while filtering specific keys.
• Dictionary Manipulation Utilities - Creates shallow clones of dictionaries by picking or omitting keys and merging multiple dictionaries.
• Dictionary Key Management - Provides utilities to extract dictionary keys and values or create clones by picking specific keys.
• Dictionary Merging - Combines multiple dictionaries into one where newer values override previous ones for the same key.
• Function Chaining - Implements function composition allowing the output of one function to feed as input into the next.
• Function Currying - Implements functional patterns for currying and partial application to fix specific function arguments.
• Functional Utility Libraries - Ships a collection of functional programming primitives and collection manipulation tools for Swift.
• Generic Collection Utilities - Extends Swift standard library types with generic methods for type-safe data transformation and aggregation.
• Element Search - Locates the first or last element, or the index of a value, that matches a condition.
• Collection Wrappers - Implements a fluent, chainable wrapper interface for applying sequential transformations to data collections.
• Function Currying - Implements function currying to transform functions to accept arguments individually through successive calls.
• Swift String Manipulation Libraries - Offers a toolkit for sanitizing text and converting casing styles natively in Swift.
• Swift String Processing Libraries - Provides a comprehensive toolkit for sanitizing, formatting, and transforming text strings in Swift.
• Function Execution Wrappers - Provides wrappers to control function invocation, including executing a function once or applying memoization.
• Functional Programming - Implements functional programming patterns including currying, memoization, and composition for Swift.
• Functional Programming Wrappers - Implements functional programming patterns such as currying, partial application, and memoization to control logic execution.
• Function Composition - Provides tools for combining multiple independent functions into a single composite execution pipeline.
• Regex Pattern Matching - Provides regular expression operations to match patterns and extract substrings from text.
• Collection Restructuring - Reorganizes data into new formats such as chunks, flat lists, transposed matrices, or grouped dictionaries.
• Predicate-Based Filtering - Employs callback functions as predicates to isolate, search, and partition elements within arrays and dictionaries.
• Array Set Operations - Computes intersections, unions, and differences between multiple arrays to find unique or shared values.
• Collection Property Plucking - Extracts specific properties from every member of a collection into a new array.
• Date and Time Libraries - Provides utilities for parsing, validating, and manipulating date and time values.
• Date Object Creators - Provides utilities for generating date and time objects from Unix timestamps and relative helpers.
• Collection Sum Calculators - Computes the minimum, maximum, or sum of values within a collection.
• Ordered Collection Manipulations - Shuffles elements, creates ranges, or retrieves subsets from the start or end of a collection.
• Text String Cleaning - Provides tools for cleaning string data by removing whitespace and splitting text into arrays.
• Date and Time Utilities - Provides utility helpers for parsing Unix timestamps and calculating relative time offsets.
• Regular Expression Utilities - Tests strings against patterns and extracts substrings using regular expression operations.
• String Case Transformers - Provides utilities for converting text between different naming conventions and sanitizing input.
• Casing Formatters - Converts strings between camelCase, kebab-case, snake_case, and Start Case formats.
• Function Invocation Control - Controls function execution flow using currying, composition, and execution limits.
• Collection Intersections - Identifies intersections and common elements shared across multiple collections.
• Unix Epoch Conversions - Translates integer Unix timestamps and formatted strings into date objects.
• Discrete Algorithm Implementations - Provides a set of discrete mathematical procedures for computing factorials, divisors, and random numeric sequences.
• Discrete Math Utilities - Computes factorials, greatest common divisors, least common multiples, and generates random numbers.
• Discrete Math Utility Libraries - Implements mathematical procedures for computing factorials, divisors, and random numeric sequences.
• GCD and LCM Calculators - Includes calculators for the greatest common divisor and least common multiple of integers.
• Integer Mathematical Utilities - Provides calculations for factorials, divisors, and random integer generation.
• Number Sequence Generation - Creates arrays of numbers based on defined ranges, specific increments, or arbitrary sequences.
• Numerical Sequence Generation - Generates arrays of numbers progressing from a start point to an end point.
• Collection Partitioning - Shuffles, chunks, or partitions array elements into groups based on size or callback functions.
• Data Structures - Functional tool-belt for Swift collections.
• General Utilities - Functional programming utilities similar to Lo-Dash.

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