doctest failure in ~/work/DataFrames.jl/DataFrames.jl/src/dataframe/insertion.jl:563-641 ```jldoctest julia> df = DataFrame(A='a':'c', B=1:3) 3×2 DataFrame Row │ A B │ Char Int64 ─────┼───────────── 1 │ a 1 2 │ b 2 3 │ c 3 julia> pushfirst!(df, (true, false), promote=true) 4×2 DataFrame Row │ A B │ Any Int64 ─────┼───────────── 1 │ true 0 2 │ a 1 3 │ b 2 4 │ c 3 julia> pushfirst!(df, df[1, :]) 5×2 DataFrame Row │ A B │ Any Int64 ─────┼───────────── 1 │ true 0 2 │ true 0 3 │ a 1 4 │ b 2 5 │ c 3 julia> pushfirst!(df, (C="something", A=11, B=12), cols=:intersect) 6×2 DataFrame Row │ A B │ Any Int64 ─────┼───────────── 1 │ 11 12 2 │ true 0 3 │ true 0 4 │ a 1 5 │ b 2 6 │ c 3 julia> pushfirst!(df, Dict(:A=>1.0, :C=>1.0), cols=:union) 7×3 DataFrame Row │ A B C │ Any Int64? Float64? ─────┼────────────────────────── 1 │ 1.0 missing 1.0 2 │ 11 12 missing 3 │ true 0 missing 4 │ true 0 missing 5 │ a 1 missing 6 │ b 2 missing 7 │ c 3 missing julia> pushfirst!(df, NamedTuple(), cols=:subset) 8×3 DataFrame Row │ A B C │ Any Int64? Float64? ─────┼───────────────────────────── 1 │ missing missing missing 2 │ 1.0 missing 1.0 3 │ 11 12 missing 4 │ true 0 missing 5 │ true 0 missing 6 │ a 1 missing 7 │ b 2 missing 8 │ c 3 missing julia> pushfirst!(DataFrame(a=1, b=2), (3, 4), (b=6, a=5)) 3×2 DataFrame Row │ a b │ Int64 Int64 ─────┼────────────── 1 │ 3 4 2 │ 5 6 3 │ 1 2 ``` Subexpression: pushfirst!(DataFrame(a=1, b=2), (3, 4), (b=6, a=5)) Evaluated output: ERROR: ArgumentError: Mixing rows with column names and without column names in a single `push!` call is not allowed Stacktrace: [1] pushfirst!(df::DataFrame, rows::ByRow{Tuple{Tuple{Int64, Int64}, NamedTuple{(:b, :a), Tuple{Int64, Int64}}}}; cols::Symbol, promote::Bool) @ DataFrames ~/work/DataFrames.jl/DataFrames.jl/src/dataframe/insertion.jl:1129 [2] pushfirst!(::DataFrame, ::Any, ::Vararg{Any}; cols::Symbol, promote::Bool) @ DataFrames ~/work/DataFrames.jl/DataFrames.jl/src/dataframe/insertion.jl:1138 [3] pushfirst!(::DataFrame, ::Any, ::Any) @ DataFrames ~/work/DataFrames.jl/DataFrames.jl/src/dataframe/insertion.jl:1138 [4] top-level scope @ none:1 Expected output: 3×2 DataFrame Row │ a b │ Int64 Int64 ─────┼────────────── 1 │ 3 4 2 │ 5 6 3 │ 1 2 diff = Warning: Diff output requires color. 3×2 DataFrame Row │ a b │ Int64 Int64 ─────┼────────────── 1 │ 3 4 2 │ 5 6 3 │ 1 2ERROR: ArgumentError: Mixing rows with column names and without column names in a single `push!` call is not allowed Stacktrace: [1] pushfirst!(df::DataFrame, rows::ByRow{Tuple{Tuple{Int64, Int64}, NamedTuple{(:b, :a), Tuple{Int64, Int64}}}}; cols::Symbol, promote::Bool) @ DataFrames ~/work/DataFrames.jl/DataFrames.jl/src/dataframe/insertion.jl:1129 [2] pushfirst!(::DataFrame, ::Any, ::Vararg{Any}; cols::Symbol, promote::Bool) @ DataFrames ~/work/DataFrames.jl/DataFrames.jl/src/dataframe/insertion.jl:1138 [3] pushfirst!(::DataFrame, ::Any, ::Any) @ DataFrames ~/work/DataFrames.jl/DataFrames.jl/src/dataframe/insertion.jl:1138 [4] top-level scope @ none:1

doctest failure in ~/work/DataFrames.jl/DataFrames.jl/src/dataframe/insertion.jl:458-536 ```jldoctest julia> df = DataFrame(A='a':'c', B=1:3) 3×2 DataFrame Row │ A B │ Char Int64 ─────┼───────────── 1 │ a 1 2 │ b 2 3 │ c 3 julia> push!(df, (true, false), promote=true) 4×2 DataFrame Row │ A B │ Any Int64 ─────┼───────────── 1 │ a 1 2 │ b 2 3 │ c 3 4 │ true 0 julia> push!(df, df[1, :]) 5×2 DataFrame Row │ A B │ Any Int64 ─────┼───────────── 1 │ a 1 2 │ b 2 3 │ c 3 4 │ true 0 5 │ a 1 julia> push!(df, (C="something", A=11, B=12), cols=:intersect) 6×2 DataFrame Row │ A B │ Any Int64 ─────┼───────────── 1 │ a 1 2 │ b 2 3 │ c 3 4 │ true 0 5 │ a 1 6 │ 11 12 julia> push!(df, Dict(:A=>1.0, :C=>1.0), cols=:union) 7×3 DataFrame Row │ A B C │ Any Int64? Float64? ─────┼────────────────────────── 1 │ a 1 missing 2 │ b 2 missing 3 │ c 3 missing 4 │ true 0 missing 5 │ a 1 missing 6 │ 11 12 missing 7 │ 1.0 missing 1.0 julia> push!(df, NamedTuple(), cols=:subset) 8×3 DataFrame Row │ A B C │ Any Int64? Float64? ─────┼───────────────────────────── 1 │ a 1 missing 2 │ b 2 missing 3 │ c 3 missing 4 │ true 0 missing 5 │ a 1 missing 6 │ 11 12 missing 7 │ 1.0 missing 1.0 8 │ missing missing missing julia> push!(DataFrame(a=1, b=2), (3, 4), (b=6, a=5)) 3×2 DataFrame Row │ a b │ Int64 Int64 ─────┼────────────── 1 │ 1 2 2 │ 3 4 3 │ 5 6 ``` Subexpression: push!(DataFrame(a=1, b=2), (3, 4), (b=6, a=5)) Evaluated output: ┌ Error: Error adding value to column :a. Maybe you forgot passing `promote=true`? └ @ DataFrames ~/work/DataFrames.jl/DataFrames.jl/src/dataframe/insertion.jl:810 ERROR: MethodError: Cannot `convert` an object of type Tuple{Int64, Int64} to an object of type Int64 Closest candidates are: convert(::Type{T}, !Matched::Ptr) where T<:Integer @ Base pointer.jl:23 convert(::Type{T}, !Matched::Base.TwicePrecision) where T<:Number @ Base twiceprecision.jl:273 convert(::Type{T}, !Matched::AbstractChar) where T<:Number @ Base char.jl:185 ... Stacktrace: [1] push!(a::Vector{Int64}, item::Tuple{Int64, Int64}) @ Base ./array.jl:1060 [2] _row_inserter!(df::DataFrame, loc::Int64, row::Tuple{Tuple{Int64, Int64}, NamedTuple{(:b, :a), Tuple{Int64, Int64}}}, mode::Val{:push}, promote::Bool) @ DataFrames ~/work/DataFrames.jl/DataFrames.jl/src/dataframe/insertion.jl:776 [3] #push!#358 @ ~/work/DataFrames.jl/DataFrames.jl/src/dataframe/insertion.jl:545 [inlined] [4] push!(::DataFrame, ::Any, ::Vararg{Any}; cols::Symbol, promote::Bool) @ DataFrames ~/work/DataFrames.jl/DataFrames.jl/src/dataframe/insertion.jl:1119 [5] push!(::DataFrame, ::Any, ::Any) @ DataFrames ~/work/DataFrames.jl/DataFrames.jl/src/dataframe/insertion.jl:1119 [6] top-level scope @ none:1 Expected output: 3×2 DataFrame Row │ a b │ Int64 Int64 ─────┼────────────── 1 │ 1 2 2 │ 3 4 3 │ 5 6 diff = Warning: Diff output requires color. 3×2 DataFrame Row │ a b │ Int64 Int64 ─────┼────────────── 1 │ 1 2 2 │ 3 4 3 │ 5 6┌ Error: Error adding value to column :a. Maybe you forgot passing `promote=true`? └ @ DataFrames ~/work/DataFrames.jl/DataFrames.jl/src/dataframe/insertion.jl:810 ERROR: MethodError: Cannot `convert` an object of type Tuple{Int64, Int64} to an object of type Int64 Closest candidates are: convert(::Type{T}, !Matched::Ptr) where T<:Integer @ Base pointer.jl:23 convert(::Type{T}, !Matched::Base.TwicePrecision) where T<:Number @ B

Process completed with exit code 1.

Process completed with exit code 1.

Process completed with exit code 1.

Process completed with exit code 1.

Process completed with exit code 1.

The following actions uses node12 which is deprecated and will be forced to run on node16: actions/checkout@v2. For more info: https://github.blog/changelog/2023-06-13-github-actions-all-actions-will-run-on-node16-instead-of-node12-by-default/

The following actions uses node12 which is deprecated and will be forced to run on node16: actions/checkout@v2. For more info: https://github.blog/changelog/2023-06-13-github-actions-all-actions-will-run-on-node16-instead-of-node12-by-default/

The following actions uses node12 which is deprecated and will be forced to run on node16: actions/checkout@v2. For more info: https://github.blog/changelog/2023-06-13-github-actions-all-actions-will-run-on-node16-instead-of-node12-by-default/

The following actions uses node12 which is deprecated and will be forced to run on node16: actions/checkout@v2. For more info: https://github.blog/changelog/2023-06-13-github-actions-all-actions-will-run-on-node16-instead-of-node12-by-default/