Results for node-combine

AngryMob is the automated system configuration component of YesMaster. It combines convenient configuration data (the node), idempotent code to ensure the configuration of the parts of a system (targets), and a method of controlling the flow of the setup (acts)

GQLite is a Rust-language library, with a C interface, that implements a small, fast, self-contained, high-reliability, full-featured, Graph Query database engine. GQLite support multiple database backends, such as SQLite and redb. This enable to achieve high performance and for application to combine Graph queries with traditional SQL queries. GQLite source code is license under the [MIT License](LICENSE) and is free to everyone to use for any purpose. The official repositories contains bindings/APIs for C, C++, Python, Ruby and Crystal. The library is still in its early stage, but it is now fully functional. Development effort has now slowed down and new features are added on a by-need basis. It supports a subset of OpenCypher, with some ISO GQL extensions. Example of use -------------- ```ruby require 'gqlite' begin # Create a database on the file "test.db" connection = GQLite::Connection.new filename: "test.db" # Execute a simple query to create a node and return all the nodes value = connection.execute_oc_query("CREATE () MATCH (n) RETURN n") # Print the result if value.nil? puts "Empty results" else puts "Results are #{value.to_s}" end rescue GQLite::Error => ex # Report any error puts "An error has occured: #{ex.message}" end ``` The documentation for the GQL query language can found in [OpenCypher](https://auksys.org/documentation/5/libraries/gqlite/opencypher/) and for the [API](https://auksys.org/documentation/5/libraries/gqlite/api/).

Zz structures are an interesting way of representing relations invented by Ted Nelson, whose domain model I provide in a gem Yzz. In this gem, YNelson, I combine Yzz with the universal Petri net provided by YPetri (another gem I wrote) to obtain a hybrid data structure that formalizes and generelizes a spreadsheet. Because let us note spreadsheets (as I have seen them) can be considered Petri nets of a kind, with cell functions acting as Petri net transitions. At the same time, spreadsheets are globally orthogonal structures with 3 typical dimensions (rows, columns and sheets). By using zz structures, the globally orthogonal spreadsheet is generalized as a locally orthogonal zz structure, with relations represented as zz dimensions, thus generalizing and formalizing a spreadsheet. The catch is that I have not yet finished the thinking process regarding what everything should be a zz object: Places (cells) and transitions definitely yes, but how about nets and dimensions? Should YNelson go as far as making namespaces into zz objects? The reason why these questions are hard to answer is because Ted Nelson himself, while providing interfaces guidelines (zz structure views, cursors...) did not comment on these questions. While being a (textual) DSL, YNelson aims to provide convenience on par with actual spreadsheet apps. Unlike YPetri, YNelson also aims to be able to specify more than one Petri net node per command, but this is still under development. See the user guide and the documentation for the details. YNelson documentation is available online, but due to formatting issues, you may prefer to generate the documentation on your own by running rdoc in the gem directory. For an example of how YPetri can be used to model complex dynamical systems, see the eukaryotic cell cycle model which I released as "cell_cycle" gem.

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