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memory_model: bump intercept and offset (2x / 1.7x) (#23)
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#20:
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memory_model: bump intercept and offset (2x / 1.7x) (#23)
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ci: resolve annotated tag SHA via GitHub API (#22)
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ci: resolve annotated tag SHA via GitHub API (#22)
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Expose limit_size as a BooleanProperty (default false) (#21)
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ci: also tag images with the annotated tag SHA (#19)
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Dockerfile: include operator.json in runtime stage (#18)
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ggsave: limitsize=FALSE for many-cell crosstabs (#20)
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Dockerfile: include operator.json in runtime stage (#18)
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Dockerfile: include operator.json in runtime stage (#18)
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ci: tag images with bare commit SHA (Tercen install resolver) (#15)
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Multi-stage Dockerfile, no renv at runtime (#17)
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operator.json: drop hardcoded :1.0.10 container tag
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operator.json: drop hardcoded :1.0.10 container tag
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Regenerate renv.lock against working CRAN + GitHub remotes
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Regenerate renv.lock against working CRAN + GitHub remotes
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Drop empty facets and gate the 1000-cell cap on split_cells
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Drop empty facets and gate the 1000-cell cap on split_cells
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Add memory_model.json — linear in n_main, 600 MB R baseline
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Fix MetaFactor type: replace "numeric" with "double"
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Fix outputSpecsV2: file_to_tercen returns .content not documentId
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Remove output_spec.json after migration to operator.json
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Migrate outputSpecsV2 from output_spec.json to operator.json
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