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morelinq/MoreLINQ

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3,827 स्टार्स·418 फोर्क्स·C#·Apache-2.0·9 व्यूज़morelinq.github.io↗

MoreLINQ

MoreLINQ is a functional programming toolkit and extension library for .NET that augments LINQ to Objects with advanced operators for sequence manipulation and analysis. It provides a set of tools for declarative data transformation, leveraging lazy evaluation and composition to handle complex object sequences.

The library is distinguished by its specialized capabilities for combinatorial generation, including the production of permutations, subsets, and Cartesian products. It also provides advanced sequence joining options, such as full, left, and right outer joins, and supports complex data reshaping through windowing, batching, and interleaving.

Beyond structural manipulation, the project covers a broad range of capabilities including numeric and random sequence generation, hierarchical tree traversal, and data validation for sequence cardinality and content constraints. It also includes utilities for single-pass aggregation, run-length encoding, and asynchronous result streaming.

The library implements these features as extension methods for enumerable interfaces to create chainable data pipelines.

Features

  • LINQ Operator Extensions - Extends .NET collection processing with advanced functional operators for declarative data transformation.
  • LINQ Query Extensions - Adds advanced sequence manipulation and transformation operators to the standard .NET query library.
  • Complex Data Structure Transformation - Provides utilities to reshape and transform sequences into arrays, dictionaries, lookups, and other data structures.
  • Data Joins - Implements full, left, and right outer joins between object sequences.
  • Full Outer Joins - Provides full, left, and right outer joins to combine two sequences while handling missing matches.
  • Data Reshaping Operations - Provides operations for restructuring sequences via batching, windowing, and flattening.
  • Sequence Analysis Tools - Performs complex joins, cardinality validation, and single-pass aggregation on data streams.
  • Sequence Subset Extractions - Retrieves sequence elements based on conditions such as predicates, intervals, or specific ranges.
  • Sequence Validation and Analysis - Checks sequence cardinality and content constraints or calculates statistical aggregates.
  • Combined Filtering and Transformation - Combines filtering and projection into a single operation, returning results only when a function indicates a match.
  • Data Sequence Manipulation - Performs advanced structural operations such as batching, windowing, and flattening on sequences.
  • Lazy Sequences - Provides lazy sequences that process elements on demand using yield return logic to minimize memory usage.
  • Enumerable Interface Extensions - Extends objects implementing enumerable interfaces with specialized static querying methods.
  • Extension Methods - Uses .NET extension methods to augment collection interfaces with fluent, chainable data pipelines.
  • Generator-Based Sequence Production - Produces sequences of values via generator functions and predefined integral ranges without allocating full arrays.
  • Sequence Collection Conversions - Transforms sequences into specialized formats such as delimited strings, dictionaries, and hash sets.
  • .NET Functional Toolkits - Provides a functional programming toolkit for .NET enabling declarative sequence manipulation.
  • Custom Generators - Creates new sequences using seeds, indices, and recursive unfolding logic.
  • Sequence Transformation Operators - Provides specialized static methods for performing complex transformations and queries on object sequences.
  • Cartesian Product Generation - Generates the Cartesian product of multiple sequences by pairing every element of each sequence with every other element.
  • Combinatorial Generators - Produces all possible permutations and subsets from a given set of elements using combinatorial logic.
  • Sequence Generation Utilities - Creates numeric, random, recursive, or combinatorial sequences for testing and logic.
  • Combinatorial Subsets - Generates all possible orderings and subsets of a given sequence.
  • Stream Combinators - Merges multiple sequences into one stream using zipping, interleaving, or padding to handle length mismatches.
  • Offset-Based Comparators - Projects pairs of elements separated by a specific positive lead or negative lag offset.
  • Iterable Interleaving and Zipping - Merges two or more sequences into one by alternating elements from each.
  • Recursive - Generates infinite or state-dependent sequences by recursively applying seed functions to an internal state.
  • Table Transpositions - Swaps the rows and columns of a sequence to transpose the data structure.
  • Duplicate Element Identification - Extracts all elements that appear more than once in a source sequence.
  • Functional Sequence Accumulators - Applies accumulator functions over sequences to produce single results via left or right associativity.
  • Hierarchical Data Traversals - Provides utilities for linearizing nested data structures using breadth-first and depth-first search patterns.
  • General Purpose Tree Traversals - Enables iteration through tree structures using breadth-first or depth-first search.
  • Nested List Flattening - Collapses a hierarchy of nested sequences into a single linear stream of elements.
  • Null Value Filling - Replaces null entries in a sequence by propagating values forward or backward from the nearest entry.
  • Sequence Cardinality Analysis - Determines if a sequence length is exactly, at least, at most, or within a specific range.
  • Sequence Item Ranking - Assigns ranks to items within a sequence based on a specified key.
  • Sequence Pairing Utilities - Pairs elements from two sequences by index and projects them into a new form.
  • Sequence Position Tagging - Marks elements as being the first, last, or both within their sequence.
  • Sequence Splitting - Divides a source sequence into multiple parts using a specified separator.
  • Slice Manipulations - Provides utilities for slicing sequences from specific indices and skipping elements until a condition is met.
  • Synchronous Sequence Generation - Produces sequences by recursively applying a stateful generator function.
  • General Purpose Tree Traversals - Implements breadth-first and depth-first search strategies for traversing hierarchical tree and graph structures.
  • Sliding Window Algorithms - Processes a sequence into a series of subsequences representing a sliding window subset.
  • Asynchronous Streams - Enables asynchronous result streaming, allowing results to be processed as they complete in a non-blocking workflow.
  • Consecutive Element Groupers - Clusters consecutive elements that share a common property or value into distinct segments.
  • Random Sequence Generation - Produces infinite sequences of random integers based on range constraints.
  • Extreme Element Search - Returns the maximal or minimal elements of a sequence based on a specified projection.
  • Offset Projectors - Creates new sequences by evaluating pairs of elements separated by a specified positive offset.
  • Sequence Indexing Functions - Provides utilities to pair each element of a sequence with its zero-based index.
  • Sequence Zipping - Combines multiple sequences into tuples of N-th elements using padding or truncation.
  • Sequence Segmentation - Divides a sequence into multiple subsequences using a specified detector.
  • Numeric Range Generations - Creates series of integers within a range using specified increment or decrement steps.
  • Run Length Encoding Implementations - Implements general-purpose run-length encoding to compress sequences by replacing identical consecutive elements with counts.
  • Sequence Partitioning - Splits sequences into multiple sets based on predicates or keys.
  • Range Length Validations - Ensures a sequence contains a specific number of elements, verifying minimums or maximums.
  • Sequence Constraint Validation - Checks if a sequence meets specific conditions and throws an exception on failure.
  • Single-Pass Collection Transformations - Optimizes performance by computing multiple statistical results or transformations during a single traversal of a data source.
  • Distinct Element Filtering - Filters sequences to return unique elements based on custom projection functions and equality comparers.
  • Element Batching - Groups elements into fixed-size chunks for processing in smaller, manageable increments.
  • Stream State Accumulation - Computes running totals across a sequence to produce an intermediate result for each step.
  • Application Frameworks - Extended LINQ operators for object collections.
  • Functional Programming - Adds functional-style extension methods to LINQ.

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morelinq/morelinq क्या करता है?

MoreLINQ is a functional programming toolkit and extension library for .NET that augments LINQ to Objects with advanced operators for sequence manipulation and analysis. It provides a set of tools for declarative data transformation, leveraging lazy evaluation and composition to handle complex object sequences.

morelinq/morelinq की मुख्य विशेषताएं क्या हैं?

morelinq/morelinq की मुख्य विशेषताएं हैं: LINQ Operator Extensions, LINQ Query Extensions, Complex Data Structure Transformation, Data Joins, Full Outer Joins, Data Reshaping Operations, Sequence Analysis Tools, Sequence Subset Extractions।

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