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All Assistants getting exceptions during analysis after refactor #17
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branch 1.0.3 new module annotatable-mapping to hold named @AnyMetaDef name = "annotatables" that references the requel-project module so that project entites can be MetaValue mapped to the annotatables collection on AbstractAnnotation without a circular dependency between annotation and project modules. Not sure this is working as I had a lot of cyclic dependencies via the iml files, although some of the references seemed suspect and I did some manual cleanup. Signed-off-by: rreganjr <rreganjr@acm.org>
branch 1.0.3 new module annotatable-mapping to hold named @AnyMetaDef name = "annotatables" that references the requel-project module so that project entities can be MetaValue mapped to the annotatables collection on AbstractAnnotation without a circular dependency between annotation and project modules. Not sure this is working as I had a lot of cyclic dependencies via the iml files, although some of the references seemed suspect and I did some manual cleanup. |
branch 1.0.3 Share the build/run run configurations. Signed-off-by: rreganjr <rreganjr@acm.org>
branch 1.0.3 intellij is being such a pain, I just wanted a pepsi. Signed-off-by: rreganjr <rreganjr@acm.org>
branch 1.0.3 hopefully I got the dependencies squared away. annotation module doesn't depend on annotatable-mapping in pom.xml as it caused a cycle with annotatable-mapping -> requel-project -> annotation. I only need the AnyMetaDef at runtime so I added it as a runtime dependency to the main requel module. it sucks that I needed to add .idea to project as it has lots of crap, but sharing building etc. between different dev environments required this or maybe hours of reading to figure out how to properly set it up.
branch 1.0.3 I moved @AnyMetaDef name = "groupingObject" out of AbstractAnnotation and into package-info like the annotatables. I fixed some typos in referrer names.
I imported the Requel project and no more analyzer errors. |
branch 1.0.3 WIP redesign of jaxb unmarshalling. also someone asked me about multithreaded Stanford parsing so I added a new parse method that takes a list of NLPText and uses a java parallel stream to tokenize them before passing to the Stanford parser parseMultiple() method.
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