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Summary
README.mdPublic entries: Python and R. Passing coverage requires an installed inventory.
Goal: carry the randomized population flag (RANDFL) onto a subject
listing.
Input: a Parquet export from the randomization system with one record
per subject, in which RANDFL is stored as a true-or-false (Boolean) value
rather than as text.
Variables:
RANDFLwould beYfor a subject in the randomized population, taken from the export.
A true-or-false value is none of the kinds of value a study column holds:
text, a whole number, a number, a date or a date and time. Reading it as
text, as true or 1, or as a number would each be a choice the study
never made, and none of them is the Y the flag takes. The run is rejected
while the export is read, and no artifact is accepted.
How to fix
Have the randomization system export the flag the way the study defines it:
the text Y for a randomized subject and an empty value for one who was not.
The study does not need to change.
input:
RND: input/rand.parquet
Expected failure
Editthe run is rejected; no artifact is acceptedexpected/error.yaml- phase
- ingest
- condition
- source_field_type_unsupported
- rule
- PARQUET-7
expected/error.yaml
phase: ingest
condition: source_field_type_unsupported
spec_paths:
- input.RND.path
rule: PARQUET-7
context:
dataset: RND
path: input/rand.parquet
field: RANDFL
Inputs
Under review1 source fileinput/rand.parquet
EditBinary fixture; inspect it in the benchmark source.
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 |
|---|---|---|---|---|---|---|---|
| ADSL | STUDYID | Study Identifier | character | Copy value from RND.STUDYID. | Predecessor | ||
| ADSL | USUBJID | Unique Subject Identifier | character | Copy value from RND.USUBJID. | Predecessor | ||
| ADSL | RANDFL | Randomized Population Flag | character | Copy value from RND.RANDFL. | Predecessor |
| 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 |
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