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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: demonstrate an aggregate's per-record bindings for #789: a binding reads a named intermediate that declares keep, so one row-scoped value is visible to every record the aggregate reduces.

Input: exposure records with sequence numbers (EXSEQ) and doses (EXDOSE), plus dose caps (CAPDOSE), which a subject may have more than one of.

Variables:

  • CUMDOSE: the cumulative dose over all of the subject's exposure records, after capping each record's dose at the subject's lowest cap. A subject with no cap has their doses summed uncapped, and a record with a missing dose counts as the full cap.

Mechanism: the DOSECAP intermediate sorts each subject's cap records by CAPDOSE and keeps the first, the lowest cap, so it holds one record per subject. The aggregate binds CAP from DOSECAP.CAPDOSE for each exposure record, caps that record's DOSE with least, which ignores a missing value, and the reducer sums the capped values. The keep declaration is what makes the intermediate read valid. Each output row is built from the subject's first exposure record (EXSEQ 1), one row per subject.

Inputs

Under review
2 source files

input/ds.csv

Edit
2 rows
input/ds.csv
STUDYIDUSUBJIDCAPDOSE
PILOT7500
PILOT7150

input/ex.csv

Edit
3 rows
input/ex.csv
STUDYIDUSUBJIDEXSEQEXDOSE
PILOT71100
PILOT72200
PILOT73300

Expected output

Under review
1 expected row

expected/adex.csv

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1 row
expected/adex.csv
STUDYIDUSUBJIDCUMDOSE
PILOT7400
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

Dataset NameVariable NameVariable LabelTypeCodelist/Controlled TermsCoreComputational MethodOrigin
ADEXSTUDYIDStudy IdentifiercharacterCopy value from EX.STUDYID.Predecessor
ADEXUSUBJIDUnique Subject IdentifiercharacterCopy value from EX.USUBJID.Predecessor
ADEXCUMDOSECumulative Capped DosenumericAggregate SUM(CAPPED) over records matching on STUDYID and USUBJID, with DOSE as EX.EXDOSE, with CAP as CAPDOSE from the first DS record matching on STUDYID and USUBJID, ordered by DS.CAPDOSE, and a row with no match is an error, with CAPPED as least of DOSE and CAP.Derived
TemplateInclude when
exposureEX.EXSEQ = 1
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.yaml")$run()$output

Python

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