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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: carry HEIGHTBL into ADSL and submit it as the SAS transport file adsl.xpt.

Input: one pre-analysis row per subject carrying the baseline height in centimetres, measured to two decimals.

Variables:

  • HEIGHTBL is the baseline height in centimetres, written with one decimal; missing when not measured.

Note: the transport file carries the heights the published data holds, so heights written with one decimal for display would be submitted rounded. The submission stops before any file is written.

How to fix

Keep the measured heights in the data, so 172.46 travels as 172.46 rather than 172.5, and leave the one-decimal display to the display format the data-definition document already reports, which changes no value. Remove the artifact's display digits:

output:
  path: adsl.csv
  columns: [STUDYID, USUBJID, HEIGHTBL]

If the analysis itself uses the height to one decimal, round it as part of the value and describe that rounding in the column's method:

    derivation:
      round_half_away_from_zero: {source: ADSL_RAW.HEIGHTBL, digits: 1}

Expected failure

Edit
the run is rejected; no artifact is accepted
expected/error.yaml
phase
validation
condition
decimals_not_applicable
rule
JSON-5
expected/error.yaml
phase: validation
condition: decimals_not_applicable
spec_paths:
  - adam.specs[0].output.decimals
rule: JSON-5
context:
  dataset: ADSL
  specification: spec.yaml
  decimals: 1

Inputs

Under review
1 source file

input/adsl_raw.csv

Edit
3 rows
input/adsl_raw.csv
STUDYIDUSUBJIDHEIGHTBL
CATH172.46
CATH—
CATH165.21

Unexpected Output

Under review
3 rows presented to the failing check - not an accepted artifact

expected/adsl.csv

Edit
3 rows
expected/adsl.csv
STUDYIDUSUBJIDHEIGHTBL
CATH172.5
CATH—
CATH165.2
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
ADSLSTUDYIDStudy IdentifiercharacterReqCopy value from ADSL_RAW.STUDYID.Predecessor
ADSLUSUBJIDUnique Subject IdentifiercharacterReqCopy value from ADSL_RAW.USUBJID.Predecessor
ADSLHEIGHTBLBaseline Height (cm)numericPermCopy value from ADSL_RAW.HEIGHTBL.Predecessor
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