Added is_* functions to do-not-vectorize list.

Updated slurping to be compatible with older versions of Julia.

src/TidierData.jl

@@ -26,7 +26,7 @@ const code = Ref{Bool}(false) # output DataFrames.jl code?
 const log = Ref{Bool}(false) # output tidylog output? (not yet implemented)
 
 # Expose the global do-not-vectorize "list"
-const not_vectorized = Ref{Vector{Symbol}}([:Ref, :Set, :Cols, :(:), :∘, :lag, :lead, :ntile, :repeat, :across, :desc, :mean, :std, :var, :median, :first, :last, :minimum, :maximum, :sum, :length, :skipmissing, :quantile, :passmissing, :cumsum, :cumprod, :accumulate, :cat_rev, :cat_relevel, :cat_infreq, :cat_lump, :cat_reorder, :cat_collapse, :cat_lump_min, :cat_lump_prop, :as_categorical])
+const not_vectorized = Ref{Vector{Symbol}}([:Ref, :Set, :Cols, :(:), :∘, :lag, :lead, :ntile, :repeat, :across, :desc, :mean, :std, :var, :median, :first, :last, :minimum, :maximum, :sum, :length, :skipmissing, :quantile, :passmissing, :cumsum, :cumprod, :accumulate, :is_float, :is_integer, :is_string, :cat_rev, :cat_relevel, :cat_infreq, :cat_lump, :cat_reorder, :cat_collapse, :cat_lump_min, :cat_lump_prop, :as_categorical, :is_categorical])
 
 # Includes
 include("docstrings.jl")

src/missings.jl

@@ -100,7 +100,11 @@ macro fill_missing(df, args...)
       end
   end
 
-  cols..., method = args
+  cols = args[1:(length(args)-1)]
+  method = args[length(args)]
+
+  # Requires Julia 1.9
+  # cols..., method = args
 
   cols_quoted = QuoteNode.(cols)