Review ask

As a clinical trial statistician or programmer, answer two short questions in Your review: the task and the inputs. Agreeing with both approves this benchmark; disagreeing with either needs a comment. Propose a fix with the Edit button on any source file, or add it to your comments.

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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 the source identifier through as ID and return the project routine's result as RESULT.

Input: a source file with ID and VALUE, where VALUE holds the numeric value passed to the routine.

Variables:

  • ID is the source identifier, carried through unchanged.
  • RESULT would be the result of passing the source VALUE to the project_value routine, which returns the value it is given.

Note: before any data is read, the routine is run on the test cases written beside it. Its ordinary case expects 15.0 for an input of 1.5, while the routine returns 1.5, so either the routine or its stated expectation is wrong. The run is rejected before any data is read, and no artifact is accepted.

How to fix

Decide which side is wrong. The routine is meant to return its argument unchanged, so here the expected result was mistyped; correct the test case:

- id: ordinary
  covers:
  - normal
  - numeric-comparison
  args:
    x: 1.5
  result: 1.5

When the expected result is right, fix the routine in both host packages instead. Never delete a failing test case to make the run pass.

Expected failure

Edit
the run is rejected; no artifact is accepted
expected/error.yaml
phase
validation
condition
function_conformance_failed
rule
FUNC-12
expected/error.yaml
phase: validation
condition: function_conformance_failed
spec_paths:
  - tests[0]
rule: FUNC-12
context:
  function: project_value
  case: ordinary
  environment_path: functions[0]

Inputs

Under review
1 source file

input/source.csv

Edit
2 rows
input/source.csv
IDVALUE
011.5
020.0

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

Variable NameVariable LabelTypeLengthControlled Terms or FormatOriginCoreConversion DefinitionVariable TypeVariable OrderComments for Define
IDIdentifierCharCollectedCopy value from SOURCE.ID.SDTM1
RESULTProject Function ResultNumDerivedCall project function project_value with x = SOURCE.VALUE.SDTM2
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