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Webpipes is a library to manage web resources like javascript and css files which need processing before being served. It manages processing like minimization, file merging, css generation from less, linters, jsx transformation. Resources can be managed as streams from source, or regularly checked cached resources, or to be generated with an Ant task. This module contains the test for the Rhino utilities.

Webpipes is a library to manage web resources like javascript and css files which need processing before being served. It manages processing like minimization, file merging, css generation from less, linters, jsx transformation. Resources can be managed as streams from source, or regularly checked cached resources, or to be generated with an Ant task. This module adds support for CoffeeScript.

Webpipes is a library to manage web resources like javascript and css files which need processing before being served. It manages processing like minimization, file merging, css generation from less, linters, jsx transformation. Resources can be managed as streams from source, or regularly checked cached resources, or to be generated with an Ant task. This module adds support for CoffeeScript.

Webpipes is a library to manage web resources like javascript and css files which need processing before being served. It manages processing like minimization, file merging, css generation from less, linters, jsx transformation. Resources can be managed as streams from source, or regularly checked cached resources, or to be generated with an Ant task. This module offers the base classes to run javascript on Rhino.

Webpipes is a library to manage web resources like javascript and css files which need processing before being served. It manages processing like minimization, file merging, css generation from less, linters, jsx transformation. Resources can be managed as streams from source, or regularly checked cached resources, or to be generated with an Ant task.

This artifact provides the implementation of (a blue-fringe version of) the "regular positive negative inference" (RPNI) learning algorithm as presented in the paper "Inferring regular languages in polynomial update time" (https://dx.doi.org/10.1142/9789812797902_0004) by Jose Oncina and Pedro García using the "evidence-driven state merging" (EDSM) heuristic. More details on this algorithm can be found in the book "Grammatical Inference" (https://doi.org/10.1017/CBO9781139194655) by Colin de la Higuera.