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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 date and time of first and last exposure (TRTSDTM, TRTEDTM) and the baseline weight (WEIGHTBL) into ADSL from a Parquet export, each value as the stored data means it.

Input: one Parquet file, input/adsl_raw.parquet, with one record per subject, as pyarrow writes a data frame by default: the first exposure counted in nanoseconds, the last exposure in milliseconds, and the weight as a single-precision number.

Variables:

  • TRTSDTM and TRTEDTM are the date and time of first and last exposure, to the second; missing when the subject was never treated, or, for the last exposure, while treatment continues.
  • WEIGHTBL is the baseline weight in kilograms, the exact number stored; missing when not measured.

Note: a time stored to the millisecond or the nanosecond reads as the same date and time as one stored to the microsecond, as long as it falls on a whole second. A single-precision number holds fewer digits than an ordinary one, so a weight typed as 81.3 is stored as exactly 81.3000030517578125 and arrives as that number, not rounded back to 81.3; the saved table writes it as 81.30000305175781, the shortest text that reads back as the same number.

Inputs

Under review
1 source file

input/adsl_raw.parquet

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Binary fixture; inspect it in the benchmark source.

Expected output

Under review
4 expected rows

expected/adsl.csv

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4 rows
expected/adsl.csv
STUDYIDUSUBJIDTRTSDTMTRTEDTMWEIGHTBL
YAMAA-012024-03-04T10:30:002024-06-01T08:00:0072.5
YAMAA-012024-05-10T08:05:332024-08-02T17:45:1081.30000305175781
YAMAA-01——64.25
YAMAA-012024-07-10T23:59:59——
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 RAW.STUDYID.Predecessor
ADSLUSUBJIDUnique Subject IdentifiercharacterCopy value from RAW.USUBJID.Predecessor
ADSLTRTSDTMDatetime of First Exposure to TreatmentnumericISO 8601Copy value from RAW.TRTSDTM.Predecessor
ADSLTRTEDTMDatetime of Last Exposure to TreatmentnumericISO 8601Copy value from RAW.TRTEDTM.Predecessor
ADSLWEIGHTBLBaseline Weight (kg)numericCopy value from RAW.WEIGHTBL.Predecessor
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

yamaa code

Public calls generated from benchmark.yaml; results must match the expected output

R

Edit
3 lines
library(yamaa)yamaa_spec("spec.yaml")$run()$output

Python

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3 lines
import yamaayamaa.spec("spec.yaml").run().output