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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: assign each integer value to one of two adjacent windows.

Input: spec_named.yaml, spec_source.yaml and spec_aggregate.yaml are independent alternatives over the same records and adjacent windows, 1 to 8 and 8 to 15. Each produces the same ranges.csv table.

Variables:

  • RANGE, SEQ and VALUE retain the range identifier, sequence number and integer value from the input record.
  • LEFTN is the window number when the lower endpoint is included and the upper excluded: value 8 belongs to window 2.
  • RIGHTN is the window number when the lower endpoint is excluded and the upper included: value 8 belongs to window 1.

Note: A record outside both windows, or missing its value, has a blank answer. Each record at the shared endpoint belongs to exactly one window.

Inputs

Under review
2 source files

input/records.csv

Edit
8 rows
input/records.csv
STUDYIDRANGESEQVALUE
SA10
SA21
SA34
SA48
SA59
SA615
SA716
SA8—

input/windows.csv

Edit
2 rows
input/windows.csv
STUDYIDRANGEWINLOWHIGH
SA118
SA2815

Expected output

Under review
8 expected rows

expected/ranges.csv

Edit
8 rows
expected/ranges.csv
STUDYIDRANGESEQVALUELEFTNRIGHTN
SA10——
SA211—
SA3411
SA4821
SA5922
SA615—2
SA716——
SA8———
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
STUDYIDStudy IdentifierCharCollectedCopy value from RECORDS.STUDYID.SDTM1
RANGERange IdentifierCharCollectedCopy value from RECORDS.RANGE.SDTM2
SEQRecord Sequence NumberNumCollectedCopy value from RECORDS.SEQ.SDTM3
VALUERange ValueNumCollectedCopy value from RECORDS.VALUE.SDTM4
LEFTNLEFTN WindowNumDerivedAggregate MIN(WINDOWS.WIN) over records matching on the shared output keys, where VALUE falls within LOW to HIGH.SDTM5
RIGHTNRIGHTN WindowNumDerivedAggregate MIN(WINDOWS.WIN) over records matching on the shared output keys, where VALUE falls within LOW to HIGH.SDTM6
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
5 lines
library(yamaa)yamaa_spec("spec_named.yaml")$run()$save()yamaa_spec("spec_source.yaml")$run()$save()yamaa_spec("spec_aggregate.yaml")$run()$output

Python

Edit
5 lines
import yamaayamaa.spec("spec_named.yaml").run().save()yamaa.spec("spec_source.yaml").run().save()yamaa.spec("spec_aggregate.yaml").run().output