Reject Forward Reference

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Summary

EditUnder reviewWhat this benchmark means

README.md

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

Goal: carry the collected analysis value in AVAL and add its doubled value in AVALDOUBLED, one record per collected result.

Input: collected laboratory (LB) results carrying the collected result in AVAL, identified by study and subject.

Variables:

AVAL would contain the collected result, taken from AVAL in the laboratory input; missing when the collected result is missing.
AVALDOUBLED would contain AVAL multiplied by 2; missing when the collected result is missing.

Note: the doubled value is listed before the collected value it reads, and a value may read only values listed before it, so the run is rejected before any data is read and no artifact is accepted.

How to fix

List AVAL before AVALDOUBLED, so every value reads only values already computed:

- name: AVAL
  type: float
  derivation: LB.AVAL
- name: AVALDOUBLED
  type: float
  derivation: "AVAL * 2"

Expected failure

Editthe run is rejected; no artifact is accepted

expected/error.yaml

phase: validation
condition: forward_reference
rule: COLUMN-5

expected/error.yaml

phase: validation
condition: forward_reference
spec_paths:
  - columns.AVALDOUBLED.derivation
rule: COLUMN-5
context:
  column: AVALDOUBLED
  dependency: AVAL

YAML specification

1 spec file

spec.yaml

Edit34 lines

1yamaa: "1.0"2type: spec3model: ADaM4domain: ADLB5keys: [STUDYID, USUBJID]6input:7  LB: {path: input/lb.csv, types: {AVAL: float}}89output:10  path: adlb.csv11  columns: [STUDYID, USUBJID, AVAL, AVALDOUBLED]1213columns:14  - name: STUDYID15    type: str16    label: Study Identifier17    derivation: LB.STUDYID1819  - name: USUBJID20    type: str21    label: Unique Subject Identifier22    derivation: LB.USUBJID2324  # Intentionally out of order: AVALDOUBLED reads AVAL, which is declared25  # after it, so the specification is rejected before any data is read.26  - name: AVALDOUBLED27    type: float28    label: Doubled Analysis Value29    derivation: "AVAL * 2"3031  - name: AVAL32    type: float33    label: Analysis Value34    derivation: LB.AVAL

Inputs

Under review1 source file

input/lb.csv

Edit1 row

input/lb.csv
STUDYID	USUBJID	AVAL
YAMAA-01		10

Unexpected Output

Under reviewNo artifact is produced

No fixture files in this directory.

Shaded columns are derived— = missing value

Human review and assessment

Dataset Name	Variable Name	Variable Label	Type	Computational Method	Origin
ADLB	STUDYID	Study Identifier	character	Copy value from LB.STUDYID.	Predecessor
ADLB	USUBJID	Unique Subject Identifier	character	Copy value from LB.USUBJID.	Predecessor
ADLB	AVALDOUBLED	Doubled Analysis Value	numeric	Compute AVAL * 2.	Derived
ADLB	AVAL	Analysis Value	numeric	Copy value from LB.AVAL.	Predecessor

Version	Date	Author	Description
1.7	2026-10-20	yamaa docs build	Read 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
1.6	2026-10-17	yamaa docs build	Describe collected date parts written as ISO 8601 date text and times of day counted in seconds since midnight
1.5	2026-10-17	yamaa docs build	Name 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
1.4	2026-10-15	yamaa docs build	State datetime precision codes through the hour and minute, and complete only the time parts a collected datetime lacks
1.3	2026-09-29	yamaa docs build	Show study codelist names, external dictionaries, and ISO 8601 formats in variable rows; list the document's codelist values and metadata
1.2	2026-09-29	yamaa docs build	Classify ADaM copies from a declared input as Predecessor and recodes as Derived, and SDTM recodes of locally derived columns as Derived
1.1	2026-09-29	yamaa docs build	Resolve lookups into the donor record they select, and give every derivation shape a plain-language rule instead of its raw YAML
1.0		yamaa docs build	Initial generation from spec.yaml

How to fix

input/lb.csv

Your review

Mapping spec