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Summary

Lifecycle: reviewedEditUnder review
What this benchmark means
README.md

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

Goal: carry COUNTRY on one record per subject, holding the subject's collected country in capitals, or the site country when the subject's own entry is blank.

Input: collected demographics records carrying the collected country (COUNTRY) and the site country (SITECNTY).

Variables:

  • COUNTRY would be the subject's own country in capitals, or the site country in capitals when the subject's own entry is blank.

Note: the uppercasing step is also asked to choose between the two entries, but it can only read one named value. Choosing the entry is a step of its own whose result must be named first, so the run is rejected before any data is read and no artifact is accepted.

How to fix

Derive the selected source in a helper column, then pass that value to the uppercasing step:

- name: COUNTRYSRC
  type: str
  derivation:
    first_available:
      sources: [DM.COUNTRY, DM.SITECNTY]

- name: COUNTRY
  type: str
  derivation:
    str_case:
      source: COUNTRYSRC
      to: upper

Keep the helper column out of the artifact by leaving it off the artifact column list. A subject with both entries blank then gets a blank country.

Expected failure

Edit
the run is rejected; no artifact is accepted
expected/error.yaml
phase
validation
condition
invalid_field_type
rule
SCHEMA-12
expected/error.yaml
phase: validation
condition: invalid_field_type
spec_paths:
  - columns.COUNTRY.derivation.str_case.source
rule: SCHEMA-12
context:
  expected: variable
  actual: mapping

Inputs

Under review
1 source file

input/dm.csv

Edit
2 rows
input/dm.csv
STUDYIDUSUBJIDCOUNTRYSITECNTY
PILOT7DeutschlandGermany
PILOT7—France

Unexpected Output

Under review
No artifact is produced

No fixture files in this directory.

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 IdentifiercharacterCopy value from DM.STUDYID.Predecessor
ADSLUSUBJIDUnique Subject IdentifiercharacterCopy value from DM.USUBJID.Predecessor
ADSLCOUNTRYCountrycharacterConvert {'first_available': {'sources': ['DM.COUNTRY', 'DM.SITECNTY']}} to upper case.Derived
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