Breaking: split set into unsafe_set and set
#1243
felixcremerAnnotations
10 errors
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build
Process completed with exit code 1.
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build:
src/set.jl#L126
doctest failure in src/set.jl:126-137
```jldoctest set
julia> set(da; name=:newname)
┌ 3×4 DimArray{Float64, 2} ┐
├──────────────────────────┴────────────────────────────────────────── dims ┐
↓ custom Sampled{Float64} 10.0:10.0:30.0 ForwardOrdered Regular Points,
→ Z Sampled{Float64} -20.0:10.0:10.0 ForwardOrdered Regular Points
└───────────────────────────────────────────────────────────────────────────┘
↓ → -20.0 -10.0 0.0 10.0
10.0 0.0 0.0 0.0 0.0
20.0 0.0 0.0 0.0 0.0
30.0 0.0 0.0 0.0 0.0
```
Subexpression:
set(da; name=:newname)
Evaluated output:
┌ 3×4 DimArray{Float64, 2} newname ┐
├──────────────────────────────────┴──────────────────────────────── dims ┐
↓ custom Sampled{Float64} 10.0:10.0:30.0 ForwardOrdered Regular Points,
→ Z Sampled{Float64} -20.0:10.0:10.0 ForwardOrdered Regular Points
└─────────────────────────────────────────────────────────────────────────┘
↓ → -20.0 -10.0 0.0 10.0
10.0 0.0 0.0 0.0 0.0
20.0 0.0 0.0 0.0 0.0
30.0 0.0 0.0 0.0 0.0
Expected output:
┌ 3×4 DimArray{Float64, 2} ┐
├──────────────────────────┴────────────────────────────────────────── dims ┐
↓ custom Sampled{Float64} 10.0:10.0:30.0 ForwardOrdered Regular Points,
→ Z Sampled{Float64} -20.0:10.0:10.0 ForwardOrdered Regular Points
└───────────────────────────────────────────────────────────────────────────┘
↓ → -20.0 -10.0 0.0 10.0
10.0 0.0 0.0 0.0 0.0
20.0 0.0 0.0 0.0 0.0
30.0 0.0 0.0 0.0 0.0
diff =
Warning: Diff output requires color.
┌ 3×4 DimArray{Float64, 2} newname ┐
├──────────────────────────┴────────────────────────────────────────── ├──────────────────────────────────┴──────────────────────────────── dims ┐
↓ custom Sampled{Float64} 10.0:10.0:30.0 ForwardOrdered Regular Points,
→ Z Sampled{Float64} -20.0:10.0:10.0 ForwardOrdered Regular Points
└───────────────────────────────────────────────────────────────────────────┘
└─────────────────────────────────────────────────────────────────────────┘
↓ → -20.0 -10.0 0.0 10.0
10.0 0.0 0.0 0.0 0.0
20.0 0.0 0.0 0.0 0.0
30.0 0.0 0.0 0.0 0.0
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build:
src/set.jl#L97
doctest failure in src/set.jl:97-107
```jldoctest set
julia> set(da; Z => DD.NoLookup(), :custom => DD.Sampled())
┌ 3×4 DimArray{Float64, 2} ┐
├──────────────────────────┴──────────────────────────────────────── dims ┐
↓ custom Sampled{Float64} 10.0:10.0:30.0 ForwardOrdered Regular Points,
→ Z
└─────────────────────────────────────────────────────────────────────────┘
10.0 0.0 0.0 0.0 0.0
20.0 0.0 0.0 0.0 0.0
30.0 0.0 0.0 0.0 0.0
```
Subexpression:
set(da; Z => DD.NoLookup(), :custom => DD.Sampled())
Evaluated output:
ERROR: TypeError: in Type, in parameter, expected Type, got a value of type Tuple{UnionAll}
Stacktrace:
[1] top-level scope
@ none:1
Expected output:
┌ 3×4 DimArray{Float64, 2} ┐
├──────────────────────────┴──────────────────────────────────────── dims ┐
↓ custom Sampled{Float64} 10.0:10.0:30.0 ForwardOrdered Regular Points,
→ Z
└─────────────────────────────────────────────────────────────────────────┘
10.0 0.0 0.0 0.0 0.0
20.0 0.0 0.0 0.0 0.0
30.0 0.0 0.0 0.0 0.0
diff =
Warning: Diff output requires color.
┌ 3×4 DimArray{Float64, 2} ┐
├──────────────────────────┴──────────────────────────────────────── dims ┐
↓ custom Sampled{Float64} 10.0:10.0:30.0 ForwardOrdered Regular Points,
→ Z
└─────────────────────────────────────────────────────────────────────────┘
10.0 0.0 0.0 0.0 0.0
20.0 0.0 0.0 0.0 0.0
30.0 0.0 0.0 0.0 0.0ERROR: TypeError: in Type, in parameter, expected Type, got a value of type Tuple{UnionAll}
Stacktrace:
[1] top-level scope
@ none:1
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build:
src/set.jl#L82
doctest failure in src/set.jl:82-93
```jldoctest set
julia> set(da, Z => [:a, :b, :c, :d], :custom => [6, 5, 4])
┌ 3×4 DimArray{Float64, 2} ┐
├──────────────────────────┴──────────────────────────────────────── dims ┐
↓ custom Sampled{Int64} [6, 5, 4] ReverseOrdered Regular Points,
→ Z Sampled{Symbol} [:a, :b, :c, :d] ForwardOrdered Regular Points
└─────────────────────────────────────────────────────────────────────────┘
↓ → :a :b :c :d
4 0.0 0.0 0.0 0.0
5 0.0 0.0 0.0 0.0
6 0.0 0.0 0.0 0.0
```
Subexpression:
set(da, Z => [:a, :b, :c, :d], :custom => [6, 5, 4])
Evaluated output:
┌ 3×4 DimArray{Float64, 2} ┐
├──────────────────────────┴────────────────────────────────────────── dims ┐
↓ custom Sampled{Int64} [6, 5, 4] ReverseOrdered Irregular Points,
→ Z Sampled{Symbol} [:a, :b, :c, :d] ForwardOrdered Irregular Points
└───────────────────────────────────────────────────────────────────────────┘
↓ → :a :b :c :d
6 0.0 0.0 0.0 0.0
5 0.0 0.0 0.0 0.0
4 0.0 0.0 0.0 0.0
Expected output:
┌ 3×4 DimArray{Float64, 2} ┐
├──────────────────────────┴──────────────────────────────────────── dims ┐
↓ custom Sampled{Int64} [6, 5, 4] ReverseOrdered Regular Points,
→ Z Sampled{Symbol} [:a, :b, :c, :d] ForwardOrdered Regular Points
└─────────────────────────────────────────────────────────────────────────┘
↓ → :a :b :c :d
4 0.0 0.0 0.0 0.0
5 0.0 0.0 0.0 0.0
6 0.0 0.0 0.0 0.0
diff =
Warning: Diff output requires color.
┌ 3×4 DimArray{Float64, 2} ┐
├──────────────────────────┴──────────────────────────────────────── ├──────────────────────────┴────────────────────────────────────────── dims ┐
↓ custom Sampled{Int64} [6, 5, 4] ReverseOrdered Regular Irregular Points,
→ Z Sampled{Symbol} [:a, :b, :c, :d] ForwardOrdered Regular Irregular Points
└─────────────────────────────────────────────────────────────────────────┘
└───────────────────────────────────────────────────────────────────────────┘
↓ → :a :b :c :d
4 6 0.0 0.0 0.0 0.0
5 0.0 0.0 0.0 0.0
6 4 0.0 0.0 0.0 0.0
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build:
src/groupby.jl#L298
doctest failure in src/groupby.jl:298-300
```jldoctest groupby
julia> map(.-, groupby(A, Ti=>month), mean.(groupby(A, Ti=>month), dims=Ti));
```
Subexpression:
map(.-, groupby(A, Ti=>month), mean.(groupby(A, Ti=>month), dims=Ti));
Evaluated output:
ERROR: UndefVarError: `_astuple` not defined in `DimensionalData`
Suggestion: check for spelling errors or missing imports.
Stacktrace:
[1] _mean(A::DimArray{Float64, 3, Tuple{X{Sampled{Float64, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, ForwardOrdered, Regular{Float64}, Points, NoMetadata}}, Y{Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Ti{Sampled{DateTime, SubArray{DateTime, 1, StepRange{DateTime, Day}, Tuple{Vector{Int64}}, false}, ForwardOrdered, Irregular{Tuple{Nothing, Nothing}}, Points, NoMetadata}}}, Tuple{}, SubArray{Float64, 3, Array{Float64, 3}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Vector{Int64}}, false}, DimensionalData.NoName, NoMetadata}, dims::Type; kw::@kwargs{})
@ DimensionalData ~/work/DimensionalData.jl/DimensionalData.jl/src/array/methods.jl:21
[2] _mean
@ ~/work/DimensionalData.jl/DimensionalData.jl/src/array/methods.jl:20 [inlined]
[3] mean
@ ~/work/DimensionalData.jl/DimensionalData.jl/src/array/methods.jl:16 [inlined]
[4] #29
@ ./broadcast.jl:1311 [inlined]
[5] _broadcast_getindex_evalf
@ ./broadcast.jl:678 [inlined]
[6] _broadcast_getindex
@ ./broadcast.jl:651 [inlined]
[7] getindex
@ ./broadcast.jl:610 [inlined]
[8] copy
@ ./broadcast.jl:911 [inlined]
[9] copy(bc::Base.Broadcast.Broadcasted{DimensionalData.DimensionalStyle{Base.Broadcast.DefaultArrayStyle{1}}, Tuple{DimensionalData.Dimensions.DimUnitRange{Int64, Base.OneTo{Int64}, Ti{Sampled{Int64, Vector{Int64}, ForwardOrdered, Irregular{Tuple{Nothing, Nothing}}, Points, NoMetadata}}}}, Base.Broadcast.var"#29#30"{@kwargs{dims::UnionAll}, typeof(mean)}, Tuple{DimensionalData.DimGroupByArray{DimArray{Float64, 3, Tuple{X{Sampled{Float64, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, ForwardOrdered, Regular{Float64}, Points, NoMetadata}}, Y{Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Ti{Sampled{DateTime, SubArray{DateTime, 1, StepRange{DateTime, Day}, Tuple{Vector{Int64}}, false}, ForwardOrdered, Irregular{Tuple{Nothing, Nothing}}, Points, NoMetadata}}}, Tuple{}, SubArray{Float64, 3, Array{Float64, 3}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Vector{Int64}}, false}, DimensionalData.NoName, NoMetadata}, 1, Tuple{Ti{Sampled{Int64, Vector{Int64}, ForwardOrdered, Irregular{Tuple{Nothing, Nothing}}, Points, NoMetadata}}}, Tuple{}, DimensionalData.OpaqueArray{DimArray{Float64, 3, Tuple{X{Sampled{Float64, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, ForwardOrdered, Regular{Float64}, Points, NoMetadata}}, Y{Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Ti{Sampled{DateTime, SubArray{DateTime, 1, StepRange{DateTime, Day}, Tuple{Vector{Int64}}, false}, ForwardOrdered, Irregular{Tuple{Nothing, Nothing}}, Points, NoMetadata}}}, Tuple{}, SubArray{Float64, 3, Array{Float64, 3}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Vector{Int64}}, false}, DimensionalData.NoName, NoMetadata}, 1, DimensionalData.DimSlices{DimArray{Float64, 3, Tuple{X{Sampled{Float64, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, ForwardOrdered, Regular{Float64}, Points, NoMetadata}}, Y{Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Ti{Sampled{DateTime, SubArray{DateTime, 1, StepRange{DateTime, Day}, Tuple{Vector{Int64}}, false}, ForwardOrdered, Irregular{Tuple{Nothing, Nothing}}, Points, NoMetadata}}}, Tuple{}, SubArray{Float64, 3, Array{Float64, 3}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Vector{Int64}}, false}, DimensionalData.NoName, NoMetadat
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build:
src/stack/methods.jl#L59
doctest failure in src/stack/methods.jl:59-83
```jldoctest; setup = :(using DimensionalData)
julia> ds = DimStack((
x=DimArray(randn(2, 3, 4), (X([:x1, :x2]), Y(1:3), Z)),
y=DimArray(randn(2, 3, 5), (X([:x1, :x2]), Y(1:3), Ti))
));
julia> slices = eachslice(ds; dims=(Z, X));
julia> size(slices)
(4, 2)
julia> map(dims, axes(slices))
(↓ Z Base.OneTo(4),
→ X Base.OneTo(2))
julia> first(slices)
┌ 3×5 DimStack ┐
├──────────────┴─────────────────────────────────── dims ┐
↓ Y Sampled{Int64} 1:3 ForwardOrdered Regular Points,
→ Ti
├──────────────────────────────────────────────── layers ┤
:x eltype: Float64 dims: Y size: 3
:y eltype: Float64 dims: Y, Ti size: 3×5
└────────────────────────────────────────────────────────┘
```
Subexpression:
first(slices)
Evaluated output:
ERROR: UndefVarError: `slices` not defined in `Main`
Suggestion: check for spelling errors or missing imports.
Stacktrace:
[1] top-level scope
@ none:1
Expected output:
┌ 3×5 DimStack ┐
├──────────────┴─────────────────────────────────── dims ┐
↓ Y Sampled{Int64} 1:3 ForwardOrdered Regular Points,
→ Ti
├──────────────────────────────────────────────── layers ┤
:x eltype: Float64 dims: Y size: 3
:y eltype: Float64 dims: Y, Ti size: 3×5
└────────────────────────────────────────────────────────┘
diff =
Warning: Diff output requires color.
┌ 3×5 DimStack ┐
├──────────────┴─────────────────────────────────── dims ┐
↓ Y Sampled{Int64} 1:3 ForwardOrdered Regular Points,
→ Ti
├──────────────────────────────────────────────── layers ┤
:x eltype: Float64 dims: Y size: 3
:y eltype: Float64 dims: Y, Ti size: 3×5
└────────────────────────────────────────────────────────┘ERROR: UndefVarError: `slices` not defined in `Main`
Suggestion: check for spelling errors or missing imports.
Stacktrace:
[1] top-level scope
@ none:1
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build:
src/stack/methods.jl#L59
doctest failure in src/stack/methods.jl:59-83
```jldoctest; setup = :(using DimensionalData)
julia> ds = DimStack((
x=DimArray(randn(2, 3, 4), (X([:x1, :x2]), Y(1:3), Z)),
y=DimArray(randn(2, 3, 5), (X([:x1, :x2]), Y(1:3), Ti))
));
julia> slices = eachslice(ds; dims=(Z, X));
julia> size(slices)
(4, 2)
julia> map(dims, axes(slices))
(↓ Z Base.OneTo(4),
→ X Base.OneTo(2))
julia> first(slices)
┌ 3×5 DimStack ┐
├──────────────┴─────────────────────────────────── dims ┐
↓ Y Sampled{Int64} 1:3 ForwardOrdered Regular Points,
→ Ti
├──────────────────────────────────────────────── layers ┤
:x eltype: Float64 dims: Y size: 3
:y eltype: Float64 dims: Y, Ti size: 3×5
└────────────────────────────────────────────────────────┘
```
Subexpression:
map(dims, axes(slices))
Evaluated output:
ERROR: UndefVarError: `slices` not defined in `Main`
Suggestion: check for spelling errors or missing imports.
Stacktrace:
[1] top-level scope
@ none:1
Expected output:
(↓ Z Base.OneTo(4),
→ X Base.OneTo(2))
diff =
Warning: Diff output requires color.
(↓ Z Base.OneTo(4),
→ X Base.OneTo(2))ERROR: UndefVarError: `slices` not defined in `Main`
Suggestion: check for spelling errors or missing imports.
Stacktrace:
[1] top-level scope
@ none:1
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build:
src/stack/methods.jl#L59
doctest failure in src/stack/methods.jl:59-83
```jldoctest; setup = :(using DimensionalData)
julia> ds = DimStack((
x=DimArray(randn(2, 3, 4), (X([:x1, :x2]), Y(1:3), Z)),
y=DimArray(randn(2, 3, 5), (X([:x1, :x2]), Y(1:3), Ti))
));
julia> slices = eachslice(ds; dims=(Z, X));
julia> size(slices)
(4, 2)
julia> map(dims, axes(slices))
(↓ Z Base.OneTo(4),
→ X Base.OneTo(2))
julia> first(slices)
┌ 3×5 DimStack ┐
├──────────────┴─────────────────────────────────── dims ┐
↓ Y Sampled{Int64} 1:3 ForwardOrdered Regular Points,
→ Ti
├──────────────────────────────────────────────── layers ┤
:x eltype: Float64 dims: Y size: 3
:y eltype: Float64 dims: Y, Ti size: 3×5
└────────────────────────────────────────────────────────┘
```
Subexpression:
size(slices)
Evaluated output:
ERROR: UndefVarError: `slices` not defined in `Main`
Suggestion: check for spelling errors or missing imports.
Stacktrace:
[1] top-level scope
@ none:1
Expected output:
(4, 2)
diff =
Warning: Diff output requires color.
(4, 2)ERROR: UndefVarError: `slices` not defined in `Main`
Suggestion: check for spelling errors or missing imports.
Stacktrace:
[1] top-level scope
@ none:1
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build:
src/stack/methods.jl#L59
doctest failure in src/stack/methods.jl:59-83
```jldoctest; setup = :(using DimensionalData)
julia> ds = DimStack((
x=DimArray(randn(2, 3, 4), (X([:x1, :x2]), Y(1:3), Z)),
y=DimArray(randn(2, 3, 5), (X([:x1, :x2]), Y(1:3), Ti))
));
julia> slices = eachslice(ds; dims=(Z, X));
julia> size(slices)
(4, 2)
julia> map(dims, axes(slices))
(↓ Z Base.OneTo(4),
→ X Base.OneTo(2))
julia> first(slices)
┌ 3×5 DimStack ┐
├──────────────┴─────────────────────────────────── dims ┐
↓ Y Sampled{Int64} 1:3 ForwardOrdered Regular Points,
→ Ti
├──────────────────────────────────────────────── layers ┤
:x eltype: Float64 dims: Y size: 3
:y eltype: Float64 dims: Y, Ti size: 3×5
└────────────────────────────────────────────────────────┘
```
Subexpression:
slices = eachslice(ds; dims=(Z, X));
Evaluated output:
ERROR: UndefVarError: `_astuple` not defined in `DimensionalData`
Suggestion: check for spelling errors or missing imports.
Stacktrace:
[1] eachslice(s::DimStack{(:x, :y), @NamedTuple{x::Float64, y::Float64}, 4, @NamedTuple{x::Array{Float64, 3}, y::Array{Float64, 3}}, Tuple{X{Categorical{Symbol, Vector{Symbol}, ForwardOrdered, NoMetadata}}, Y{Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Z{NoLookup{Base.OneTo{Int64}}}, Ti{NoLookup{Base.OneTo{Int64}}}}, Tuple{}, Tuple{Tuple{X{Colon}, Y{Colon}, Z{Colon}}, Tuple{X{Colon}, Y{Colon}, Ti{Colon}}}, NoMetadata, Tuple{NoMetadata, NoMetadata}}; dims::Tuple{UnionAll, UnionAll}, drop::Bool)
@ DimensionalData ~/work/DimensionalData.jl/DimensionalData.jl/src/stack/methods.jl:86
[2] top-level scope
@ none:1
Expected output:
diff =
Warning: Diff output requires color.
ERROR: UndefVarError: `_astuple` not defined in `DimensionalData`
Suggestion: check for spelling errors or missing imports.
Stacktrace:
[1] eachslice(s::DimStack{(:x, :y), @NamedTuple{x::Float64, y::Float64}, 4, @NamedTuple{x::Array{Float64, 3}, y::Array{Float64, 3}}, Tuple{X{Categorical{Symbol, Vector{Symbol}, ForwardOrdered, NoMetadata}}, Y{Sampled{Int64, UnitRange{Int64}, ForwardOrdered, Regular{Int64}, Points, NoMetadata}}, Z{NoLookup{Base.OneTo{Int64}}}, Ti{NoLookup{Base.OneTo{Int64}}}}, Tuple{}, Tuple{Tuple{X{Colon}, Y{Colon}, Z{Colon}}, Tuple{X{Colon}, Y{Colon}, Ti{Colon}}}, NoMetadata, Tuple{NoMetadata, NoMetadata}}; dims::Tuple{UnionAll, UnionAll}, drop::Bool)
@ DimensionalData ~/work/DimensionalData.jl/DimensionalData.jl/src/stack/methods.jl:86
[2] top-level scope
@ none:1
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build:
src/array/array.jl#L795
doctest failure in src/array/array.jl:795-806
```jldoctest
julia> using DimensionalData
julia> ds = (X(0:0.1:0.4), Y(10:10:100), Ti([0, 3, 4]))
(↓ X 0.0:0.1:0.4,
→ Y 10:10:100,
↗ Ti [0, 3, 4])
julia> mergedims(ds, (X, Y) => :space)
(↓ Ti [0, 3, 4],
→ space MergedLookup{Tuple{Float64, Int64}} [(0.0, 10), (0.1, 10), …, (0.3, 100), (0.4, 100)] (↓ X, → Y))
```
Subexpression:
mergedims(ds, (X, Y) => :space)
Evaluated output:
ERROR: UndefVarError: `_astuple` not defined in `DimensionalData`
Suggestion: check for spelling errors or missing imports.
Stacktrace:
[1] (::DimensionalData.var"#124#127"{Tuple{X{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Y{StepRange{Int64, Int64}}, Ti{Vector{Int64}}}})(::Pair{Tuple{UnionAll, UnionAll}, Symbol})
@ DimensionalData ~/work/DimensionalData.jl/DimensionalData.jl/src/array/array.jl:818
[2] #68
@ ./tuple.jl:526 [inlined]
[3] afoldl
@ ./operators.jl:553 [inlined]
[4] filter_rec
@ ./tuple.jl:526 [inlined]
[5] filter
@ ./tuple.jl:529 [inlined]
[6] mergedims(all_dims::Tuple{X{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Y{StepRange{Int64, Int64}}, Ti{Vector{Int64}}}, dim_pairs::Pair{Tuple{UnionAll, UnionAll}, Symbol})
@ DimensionalData ~/work/DimensionalData.jl/DimensionalData.jl/src/array/array.jl:817
[7] top-level scope
@ none:1
Expected output:
(↓ Ti [0, 3, 4],
→ space MergedLookup{Tuple{Float64, Int64}} [(0.0, 10), (0.1, 10), …, (0.3, 100), (0.4, 100)] (↓ X, → Y))
diff =
Warning: Diff output requires color.
(↓ Ti [0, 3, 4],
→ space MergedLookup{Tuple{Float64, Int64}} [(0.0, 10), (0.1, 10), …, (0.3, 100), (0.4, 100)] (↓ X, → Y))ERROR: UndefVarError: `_astuple` not defined in `DimensionalData`
Suggestion: check for spelling errors or missing imports.
Stacktrace:
[1] (::DimensionalData.var"#124#127"{Tuple{X{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Y{StepRange{Int64, Int64}}, Ti{Vector{Int64}}}})(::Pair{Tuple{UnionAll, UnionAll}, Symbol})
@ DimensionalData ~/work/DimensionalData.jl/DimensionalData.jl/src/array/array.jl:818
[2] #68
@ ./tuple.jl:526 [inlined]
[3] afoldl
@ ./operators.jl:553 [inlined]
[4] filter_rec
@ ./tuple.jl:526 [inlined]
[5] filter
@ ./tuple.jl:529 [inlined]
[6] mergedims(all_dims::Tuple{X{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Y{StepRange{Int64, Int64}}, Ti{Vector{Int64}}}, dim_pairs::Pair{Tuple{UnionAll, UnionAll}, Symbol})
@ DimensionalData ~/work/DimensionalData.jl/DimensionalData.jl/src/array/array.jl:817
[7] top-level scope
@ none:1
|