tests/testthat/_snaps/unnest-helper.md

In tidyverse/tidyr: Tidy Messy Data

simplify is validated

Code
  df_simplify(data.frame(), simplify = 1)
Condition
  Error:
  ! `simplify` must be a list or a single `TRUE` or `FALSE`.
Code
  df_simplify(data.frame(), simplify = NA)
Condition
  Error:
  ! `simplify` must be a list or a single `TRUE` or `FALSE`.
Code
  df_simplify(data.frame(), simplify = c(TRUE, FALSE))
Condition
  Error:
  ! `simplify` must be a list or a single `TRUE` or `FALSE`.
Code
  df_simplify(data.frame(), simplify = list(1))
Condition
  Error:
  ! All elements of `simplify` must be named.
Code
  df_simplify(data.frame(), simplify = list(x = 1, x = 1))
Condition
  Error:
  ! The names of `simplify` must be unique.

ptype is validated

Code
  df_simplify(data.frame(), ptype = 1)
Condition
  Error:
  ! `ptype` must be `NULL`, an empty ptype, or a named list of ptypes.
Code
  df_simplify(data.frame(), ptype = list(1))
Condition
  Error:
  ! All elements of `ptype` must be named.
Code
  df_simplify(data.frame(), ptype = list(x = 1, x = 1))
Condition
  Error:
  ! The names of `ptype` must be unique.

transform is validated

Code
  df_simplify(data.frame(), transform = list(~.x))
Condition
  Error:
  ! All elements of `transform` must be named.
Code
  df_simplify(data.frame(x = 1), transform = 1)
Condition
  Error:
  ! `transform` must be `NULL`, a function, or a named list of functions.
Code
  df_simplify(data.frame(), transform = list(x = 1))
Condition
  Error:
  ! Can't convert `transform$x`, a double vector, to a function.
Code
  df_simplify(data.frame(), transform = list(x = 1, x = 1))
Condition
  Error:
  ! The names of `transform` must be unique.

ptype is applied after transform

Code
  col_simplify(list(1, 2, 3), ptype = integer(), transform = ~ .x + 1.5)
Condition
  Error:
  ! Can't convert from `..1` <double> to <integer> due to loss of precision.
  * Locations: 1

tidyverse/tidyr documentation built on Oct. 30, 2024, 1:53 a.m.