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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: give each dose of study drug its analysis start date (ASTDT) and the number of the subject's treatment period (APERIOD) whose days hold that date.

Input: one spec.yaml over exposure records, each carrying a sequence number (EXSEQ), the dose given (EXDOSE) and a start date (EXSTDT), and a period table giving each subject's treatment periods, each from a first day (APERSDT) to a last day (APEREDT).

Variables:

  • ASEQ is the sequence number of the exposure record that gave the dose.
  • ASTDT is the start date of the dose.
  • APERIOD is the number of the subject's period whose first and last days, both inclusive, hold ASTDT. It is blank when none of the subject's periods holds the date.

Note: the analysis start date is stated once for the whole dataset, not in the rule that builds the dose rows, and only exposure records that gave a dose build rows. Each dose row still works out its own start date before its period is chosen, so the period always follows the date the output carries. A dose outside every period is kept with the period blank, and each such blank is counted so the run reports how often it happened.

Inputs

Under review
2 source files

input/ex.csv

Edit
6 rows
input/ex.csv
STUDYIDUSUBJIDEXSEQEXDOSEEXSTDT
YAMAA-011252025-04-01
YAMAA-01202025-04-15
YAMAA-013252025-04-30
YAMAA-014502025-05-01
YAMAA-011252025-05-20
YAMAA-012252025-06-10

input/periods.csv

Edit
3 rows
input/periods.csv
STUDYIDUSUBJIDAPERIODAPERSDTAPEREDT
YAMAA-0112025-04-012025-04-30
YAMAA-0122025-05-012025-05-31
YAMAA-0112025-06-012025-06-30

Expected output

Under review
5 expected rows

expected/adex.csv

Edit
5 rows
expected/adex.csv
STUDYIDUSUBJIDASEQASTDTAPERIOD
YAMAA-0112025-04-011
YAMAA-0132025-04-301
YAMAA-0142025-05-012
YAMAA-0112025-05-20—
YAMAA-0122025-06-101
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 IdentifiercharacterSet per constructed row; see the Row construction sheet.Derived
ADEXUSUBJIDUnique Subject IdentifiercharacterSet per constructed row; see the Row construction sheet.Derived
ADEXASEQAnalysis Sequence NumbernumericSet per constructed row; see the Row construction sheet.Derived
ADEXASTDTAnalysis Start DatenumericISO 8601Copy value from EX.EXSTDT.Predecessor
ADEXAPERIODPeriodnumericSet per constructed row; see the Row construction sheet.Derived
TemplateInclude whenSTUDYIDUSUBJIDASEQAPERIOD
dosedEX.EXDOSE > 0Copy EX.STUDYIDCopy EX.USUBJIDCopy EX.EXSEQCopy PERIODS.APERIOD
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

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