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JuliaData / DataFrames.jl / 6635
93%

Build:
DEFAULT BRANCH: master
Ran 11 Oct 2020 04:54PM UTC
Jobs 12
Files 46
Run time 44min
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[BREAKING] Use DataAPI.refpool for optimized grouping (#2442)

Generalize existing optimized `row_group_slots` method for `CategoricalArray`
and `PooledArray` so that it can be used for other array types
for which `DataAPI.refpool` returns an `AbstractVector`. This allows dropping
the dependency on CategoricalArrays in this part of the code.

Also refactor the method to be faster when not sorting. In that case, we do
not need to build a map between reference codes and groups (indexing into it
is slow when the number of groups is very large). `CategoricalArray` is no longer
special cased: when `sort=false`, levels are still sorted, but `missing` appears first.

Add more tests to cover weird combinations.

6493 of 6727 relevant lines covered (96.52%)

1459175.11 hits per line

Jobs
ID Job ID Ran Files Coverage
1 6635.1 11 Oct 2020 04:54PM UTC 0
94.87
Travis Job 6635.1
2 6635.2 11 Oct 2020 04:55PM UTC 0
95.41
Travis Job 6635.2
3 6635.3 11 Oct 2020 04:57PM UTC 0
94.87
Travis Job 6635.3
4 6635.4 11 Oct 2020 05:03PM UTC 0
95.41
Travis Job 6635.4
5 6635.5 11 Oct 2020 04:57PM UTC 0
94.87
Travis Job 6635.5
6 6635.6 11 Oct 2020 05:21PM UTC 0
95.41
Travis Job 6635.6
7 6635.7 11 Oct 2020 05:17PM UTC 0
94.87
Travis Job 6635.7
8 6635.8 11 Oct 2020 05:20PM UTC 0
95.41
Travis Job 6635.8
9 6635.9 11 Oct 2020 05:16PM UTC 0
96.13
Travis Job 6635.9
10 6635.10 11 Oct 2020 05:24PM UTC 0
96.13
Travis Job 6635.10
11 6635.11 11 Oct 2020 05:38PM UTC 0
96.13
Travis Job 6635.11
12 6635.12 11 Oct 2020 05:36PM UTC 0
96.13
Travis Job 6635.12
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