all.equal could be improved
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 35/100
Research direction
Start with the all.equal comparison paths described in the issue, including all.equal.numeric and the ignore.row.order handling that uses setNumericRounding(). The supplied example is not reproducible and leaves the expected comparison behavior unspecified, so first establish a minimal example for d and b and define how numeric tolerance should work in both modes.
Written by the indexing model from the issue text.
Description
Not a reproducible example but clearly shows there is something to improve. When ignore.row.order=F then column by column comparison goes using all.equal.numeric method (that has tolerance), when ignore.row.order=T, then AFAIR we roll join on all fields which relies on setNumericRounding() for numeric columns.
sc = \(x) setkey(copy(x))
all.equal(d, b, ignore.row.order = TRUE)
#[1] "Dataset 'current' has rows not present in 'target'"
all.equal(sc(d), sc(b))
#[1] TRUE
1.16.2
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First steps
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- Open a pull request that references the issue number.
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