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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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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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ggsave: limitsize=FALSE for many-cell crosstabs (#20)
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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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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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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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Migrate outputSpecs to outputSpecsV2 for backward compatibility
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Update ontologyMapping to canonical vocabulary
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Fix operatorSpec: change X-axis cardinality from 1 to 0..1
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Merge pull request #14 from tercen/memory_estimate
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moved colors and labels to AxisSpecs
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fix: update container version to 1.0.9
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fix: update crosstabMapping keys for color and label
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fix: upgraded docker image
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fix: SVG package dependency
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