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Summary
EditUnder reviewWhat this benchmark meansREADME.mdPublic entries: Python and R. Passing coverage requires an installed inventory.
Goal: compute CELLTOT, the whole number of cells in the
sample, as CELLCNT * VOLUML for each subject.
Input: laboratory records carrying the collected cell
concentration (CELLCNT) and the sample volume (VOLUML) for
four subjects: an ordinary count and volume, a product exactly
at the largest whole number the result can hold
(9,223,372,036,854,775,807), a missing concentration, and a
product past that largest whole number.
Variables:
CELLTOTwould contain the whole number of cells,CELLCNTmultiplied byVOLUML, and missing when either is missing. A product beyond the largest whole number the result can hold stops the run, and no artifact is accepted.
How to fix
Verify the transcription and correct CELLCNT in the source
before running the calculation. If the verified count genuinely
cannot fit in a signed 64-bit integer, the specification cannot
represent it exactly as int; change the measurement unit or
representation upstream rather than allowing the multiplication
to wrap or converting the count to an approximate value.
Expected failure
Editthe run is rejected; no artifact is acceptedexpected/error.yaml- phase
- derivation
- condition
- integer_overflow
- rule
- VALUE-5
expected/error.yaml
phase: derivation
condition: integer_overflow
spec_paths:
- columns.CELLTOT.derivation
rule: VALUE-5
context:
expr: "CELLCNT * VOLUML"
keys:
- STUDYID: YAMAA-01
USUBJID: YAMAA-01-102
Inputs
Under review1 source fileinput/lb.csv
Edit4 rows| STUDYID | USUBJID | CELLCNT | VOLUML |
|---|---|---|---|
| YAMAA-01 | 5000000 | 20 | |
| YAMAA-01 | 9007199254740993 | 1024 | |
| YAMAA-01 | 9223372036854775807 | 1 | |
| YAMAA-01 | — | 10 |
Unexpected Output
Under reviewNo artifact is producedNo fixture files in this directory.
Human review and assessment
| Dataset Name | Variable Name | Variable Label | Type | Codelist/Controlled Terms | Core | 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 | CELLTOT | Total Cell Count | numeric | Compute CELLCNT * VOLUML. | Derived |
| Version | Date | Author | Description | Reviewer | Sign-off |
|---|---|---|---|---|---|
| 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 |