R Under development (unstable) (2024-03-14 r86117 ucrt) -- "Unsuffered Consequences"
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Platform: x86_64-w64-mingw32/x64

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> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/tests.html
> # * https://testthat.r-lib.org/reference/test_package.html#special-files
> 
> library(testthat)
> library(mcmsupply)
> 
> test_check("mcmsupply")
Using preloaded dataset!
Joining with `by = join_by(Country)`
Joining with `by = join_by(Country, average_year)`
Joining with `by = join_by(Country)`
Getting data for Nepal
Joining with `by = join_by(Country, average_year, Method, Super_region)`
Using preloaded dataset!
Joining with `by = join_by(Country)`
Joining with `by = join_by(Country, average_year)`
Joining with `by = join_by(Country)`
Joining with `by = join_by(Country, average_year, Method, Super_region)`
Using preloaded dataset!
Joining with `by = join_by(Country, average_year)`
Getting data for Nepal
Joining with `by = join_by(Country)`
Using preloaded dataset!
Joining with `by = join_by(Country, average_year)`
Joining with `by = join_by(Country)`
Using preloaded dataset!
Joining with `by = join_by(Country)`
Joining with `by = join_by(Country, average_year)`
Joining with `by = join_by(Country)`
Getting data for Nepal
Joining with `by = join_by(Country, average_year, Method, Super_region)`
Using preloaded dataset!
Joining with `by = join_by(Country)`
Joining with `by = join_by(Country, average_year)`
Joining with `by = join_by(Country)`
Getting data for Nepal
Joining with `by = join_by(Country, average_year, Method, Super_region)`
Using preloaded dataset!
Joining with `by = join_by(Country)`
Joining with `by = join_by(Country, average_year)`
Joining with `by = join_by(Country)`
Joining with `by = join_by(Country, average_year, Method, Super_region)`
module glm loaded
Compiling model graph
   Resolving undeclared variables
   Allocating nodes
Graph information:
   Observed stochastic nodes: 29
   Unobserved stochastic nodes: 38
   Total graph size: 7963

Initializing model

Joining with `by = join_by(index_year)`
Joining with `by = join_by(index_method)`
Joining with `by = join_by(index_sector)`
Results complete!
Nepal
Scale for colour is already present.
Adding another scale for colour, which will replace the existing scale.
Scale for fill is already present.
Adding another scale for fill, which will replace the existing scale.
Plots complete!
[ FAIL 0 | WARN 6 | SKIP 0 | PASS 15 ]

[ FAIL 0 | WARN 6 | SKIP 0 | PASS 15 ]
> 
> proc.time()
   user  system elapsed 
  13.43    0.70   14.12