2 dépôts
Awesome GitHub RepositoriesStructural Analysis
Calculates properties of nested data structures such as depth, atom counts, and element frequencies.
Distinct from Nested Data Extractors: Distinct from Nested Data Extractors by calculating metadata and structural properties rather than just retrieving specific values.
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Awesome Structural Analysis GitHub Repositories
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- norvig/paip-lisp
norvig/paip-lisp
7,465Voir sur GitHubThis project is a comprehensive Lisp AI implementation library that provides reference implementations for various artificial intelligence paradigms and symbolic algorithms. It functions as a multi-purpose toolkit containing a logic programming engine, a natural language processing suite, and a symbolic mathematics toolkit. The library is distinguished by its diverse architectural frameworks, including a Prolog-style execution engine that uses unification and goal-driven backtracking, and a system for simulating human decision-making through expert system shells and certainty factors. It also
Deno Data Processing traverses a nested data structure to count atoms, calculate depth, or tally occurrences of an item.
Common Lisp - sebastianbergmann/object-enumerator
sebastianbergmann/object-enumerator
6,537Voir sur GitHubObject-enumerator is a data structure crawler and enumeration library designed to discover and list all objects stored within deep or circular data references. It functions as a traversal tool that recursively walks through nested arrays and object graphs to identify every individual referenced object. The library flattens complex hierarchical data structures into a linear collection of unique objects. This process enables data structure analysis and memory reference mapping by tracing all objects connected to a root element to understand the overall composition of a data set.
Analyzes the structural composition of deeply nested arrays and object graphs to identify all unique contained objects.
PHP
