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As a clinical trial statistician or programmer, answer two short questions in Your review: the task and the inputs and outputs. Agreeing with both approves this benchmark; disagreeing with either needs a comment. Propose a fix with the Edit button on any source file, or add it to your comments.

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Summary

Lifecycle: draftEditUnder review
What this benchmark means
README.md

Public entries: Python and R. Passing coverage requires an installed inventory.

Goal: show a study inheriting the whole artifact layout from the level it shares with other studies, so the list of published variables is written once rather than copied into every study.

Dataset: adsl.csv, ADSL subject-level dataset. One record per subject.

Input: two spec files, read root-first:

  • spec_shared.yaml carries what every study publishing this table must agree on: the dataset, its keys, the four columns, and the complete output naming them in order;
  • spec_study.yaml is the entry: it names the shared level as its parent and supplies only the study's own demographics file. It declares no output.

The chain resolves to expected/spec_resolved.yaml, the default view in the specification dropdown.

Variables:

  • AGE and AGEU carry each subject's collected age and its units from demographics, as the shared level declares them.

Note: the study writes no output, so it inherits all of it. A study that writes one part of output, such as its own variable list, keeps every part it leaves out, and an inherited output.path names a file beside the level that wrote it. Here both levels share one directory, so the study publishes adsl.csv beside itself.

Inputs

Under review
1 source file

input/dm.csv

Edit
3 rows
input/dm.csv
STUDYIDUSUBJIDAGEAGEU
TEST0134YEARS
TEST0158YEARS
TEST0171YEARS

Expected output

Under review
3 expected rows

expected/adsl.csv

Edit
3 rows
expected/adsl.csv
STUDYIDUSUBJIDAGEAGEU
TEST0134YEARS
TEST0158YEARS
TEST0171YEARS
Shaded columns are derived— = missing value

Human review and assessment

Your review

2 questions and your comments · View benchmark discussions

Mapping spec

Generated from the benchmark YAML; do not edit by hand

Variable NameVariable LabelTypeLengthControlled Terms or FormatOriginCoreConversion DefinitionVariable TypeVariable OrderComments for Define
VersionDateAuthorDescriptionReviewerSign-off
1.72026-10-20yamaa docs buildRead a specification in the 1.0 surface as its 0.5 counterpart; state that missing values stay missing where a mapping declares no missing handler, and leave out a declared missing answer that restates a handler's default
1.62026-10-17yamaa docs buildDescribe collected date parts written as ISO 8601 date text and times of day counted in seconds since midnight
1.52026-10-17yamaa docs buildName collected precision in words instead of letter codes; state imputation fallbacks, minimum source precision, bounds ignored outside the collected period, and invalid text with no handler as an error; describe date and datetime shifts, imputation flag codes, and partial text giving no date part
1.42026-10-15yamaa docs buildState datetime precision codes through the hour and minute, and complete only the time parts a collected datetime lacks
1.32026-09-29yamaa docs buildShow study codelist names, external dictionaries, and ISO 8601 formats in variable rows; list the document's codelist values and metadata
1.22026-09-29yamaa docs buildClassify ADaM copies from a declared input as Predecessor and recodes as Derived, and SDTM recodes of locally derived columns as Derived
1.12026-09-29yamaa docs buildResolve lookups into the donor record they select, and give every derivation shape a plain-language rule instead of its raw YAML
1.0yamaa docs buildInitial generation from spec.yaml

yamaa code

Public calls generated from benchmark.yaml; results must match the expected output

R

Edit
3 lines
library(yamaa)yamaa_spec("spec_study.yaml")$run()$output

Python

Edit
3 lines
import yamaayamaa.spec("spec_study.yaml").run().output