Project

Reverse Dependencies for racc

The projects listed here declare racc as a runtime or development dependency

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A library to ease development of roleplay games for textual enviroments
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rush implements the POSIX.1-2017 Shell Command Language (IEEE Std 1003.1 ยง2) in pure Ruby, verified differentially against dash.
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RFC7644 SCIM (System for Cross-domain Identity Management) 2.0 filter parser. See https://tools.ietf.org/html/rfc7644#section-3.4.2.2 This gem implements a filter syntax parser as well as an optional integration for integrating the filter with an Arel table.
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Parser for simple search query language and an interpreter to produce PostgreSQL tsearch directives
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A long-lived project that still receives updates
Specification and base implementation of the Spark API parsing system.
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SQA::BI predicts a probability distribution over a small ordered set of outcomes (for example strong downtrend through strong uptrend) from a numeric feature vector. Priors with Laplace smoothing, Gaussian kernel density likelihoods, and a posterior that reports entropy, confidence and KL divergence from the prior. An LLM can optionally supply the prior, or act as a likelihood function over textual evidence โ€” the LLM only ever judges, Ruby does all the probability arithmetic.
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An SQA-specific Fiddle binding directly against the installed TA-Lib C library, providing many technical analysis indicators for stock analysis. Part of the SQA (Simple Qualitative Analysis) ecosystem.
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A Racc-based Ruby parser and generator for SQL statements
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A Racc-based Ruby parser for SQL statements; forked from https://github.com/cryodex/sql-parser
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Simple SQL search conditions parser (where clause)
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Nokogiri (้‹ธ) is an HTML, XML, SAX, and Reader parser. Among Nokogiri's many features is the ability to search documents via XPath or CSS3 selectors. XML is like violence - if it doesnโ€™t solve your problems, you are not using enough of it.
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A tiny scripting language
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TECSCDE - TECS Component Diagram Editor
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Split your RSpec test suite up into several groups and run them in parallel.
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Parse a reachability graph and process it using Mustache templates. Example State 2/2398339604900326310: / steps = <<"TenantManager", "Loader">> / db_data = {} / now = 1 / pc = [ Tail |-> "tail_wait", TenantManager |-> "tenant_manager" ] / db_tenants = {"t1"} / input_data = { [tenant |-> "t1", data |-> "d1"], [tenant |-> "t2", data |-> "d2"] } Transition -8297134421408988195 --> 2398339604900326310
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Simple Interpreter for Python-like OOP programming language
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gem install universe-parsing
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