Well supported. 3 quotes from 2 sources. Free to read.
The paper considers a concrete example of a code generator for a Starlark programming language, a dialect of Python while the domain specific-language is based on Kotlin language.
Using the toolset of Kotlin, such a domain-specific language replicates such Starlark constructs as variable assignments, list comprehensions, library functions, slices, etc with a required level of customizability.
Starlark is a lightweight, high-level programming language designed for embedded use in applications.
Research query: Starlark · jobs: 1 · on-topic sources: 2 · review: Held
Starlark is a lightweight, high-level programming language designed for embedded use in applications. — Starlark (wikipedia)
Using the toolset of Kotlin, such a domain-specific language replicates such Starlark constructs as variable assignments, list comprehensions, library functions, slices, etc with a required level of customizability. — METHOD OF THE DECLARATIVE METAPROGRAMMING BASED ON DOMAIN-SPECIFIC PROGRAMMING LANGUAGES (2022)
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Starlark (wikipedia)
Starlark is a lightweight, high-level programming language designed for embedded use in applications. (new this job) — source
METHOD OF THE DECLARATIVE METAPROGRAMMING BASED ON DOMAIN-SPECIFIC PROGRAMMING LANGUAGES (2022)
The paper considers a concrete example of a code generator for a Starlark programming language, a dialect of Python while the domain specific-language is based on Kotlin language. (new this job) — source
Using the toolset of Kotlin, such a domain-specific language replicates such Starlark constructs as variable assignments, list comprehensions, library functions, slices, etc with a required level of customizability. (new this job) — source
Status Held. Verified claims 3. On-topic sources 2 (reused 0). Dropped 6 collector hit(s) and 0 off-topic local claim(s). Conflicts 0. Coverage: starlark.
Sealed job 25c487a516a3ff7cce7710190593efec. Shards: scholar.openalex, encyclopedia.wikipedia. Dropped 6 off-topic collector hit(s) and 0 off-topic local claim(s). Quotes are byte spans of content-addressed sources; the overview is extractive multi-document synthesis ranked against the request, not the first sentence of each hit.
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