tests/testthat/_snaps/tib_spec.md

In tibblify: Rectangle Nested Lists

errors on invalid names

Code
  (expect_error(tspec_df(x = tib_int("x"), x = tib_int("y"))))
Output
  <error/vctrs_error_names_must_be_unique>
  Error in `tspec_df()`:
  ! Names must be unique.
  x These names are duplicated:
    * "x" at locations 1 and 2.

errors if element is not a tib collector

Code
  (expect_error(tspec_df(1)))
Output
  <error/rlang_error>
  Error in `tspec_df()`:
  ! ..1 must be a tib collector, not the number 1.
Code
  (expect_error(tspec_df(x = tib_int("x"), y = "a")))
Output
  <error/rlang_error>
  Error in `tspec_df()`:
  ! y must be a tib collector, not the string "a".

can infer name from key

Code
  (expect_error(tspec_df(tib_int(c("a", "b")))))
Output
  <error/rlang_error>
  Error in `tspec_df()`:
  ! `key` must be a single string to infer name.
  x `key` of ..1 has length 2.
Code
  (expect_error(tspec_df(y = tib_int("x"), tib_int("y"))))
Output
  <error/vctrs_error_names_must_be_unique>
  Error in `tspec_df()`:
  ! Names must be unique.
  x These names are duplicated:
    * "y" at locations 1 and 2.

can nest specifications

Code
  (expect_error(tspec_df(spec1, spec1)))
Output
  <error/vctrs_error_names_must_be_unique>
  Error in `tspec_df()`:
  ! Names must be unique.
  x These names are duplicated:
    * "a" at locations 1 and 3.
    * "b" at locations 2 and 4.

errors on invalid .names_to

Code
  (expect_error(tspec_df(.names_to = NA_character_)))
Output
  <error/rlang_error>
  Error in `tspec_df()`:
  ! `.names_to` must be a single string or `NULL`, not a character `NA`.
Code
  (expect_error(tspec_df(.names_to = 1)))
Output
  <error/rlang_error>
  Error in `tspec_df()`:
  ! `.names_to` must be a single string or `NULL`, not the number 1.

errors if .names_to column name is not unique

Code
  (expect_error(tspec_df(x = tib_int("x"), .names_to = "x")))
Output
  <error/rlang_error>
  Error in `tspec_df()`:
  ! The column name of `.names_to` is already specified in `...`.

errors if .names_to is used with colmajor

Code
  (expect_error(tspec_df(.names_to = "x", .input_form = "colmajor")))
Output
  <error/rlang_error>
  Error in `tspec_df()`:
  ! Can't use `.names_to` with `.input_form = "colmajor"`.

errors if vector_allows_empty_list is invalid

Code
  (expect_error(tspec_df(vector_allows_empty_list = NA)))
Output
  <error/rlang_error>
  Error in `tspec_df()`:
  ! `vector_allows_empty_list` must be `TRUE` or `FALSE`, not `NA`.
Code
  (expect_error(tspec_df(vector_allows_empty_list = "a")))
Output
  <error/rlang_error>
  Error in `tspec_df()`:
  ! `vector_allows_empty_list` must be `TRUE` or `FALSE`, not the string "a".

errors on invalid key

Code
  (expect_error(tib_int(character())))
Output
  <error/rlang_error>
  Error in `tib_int()`:
  ! `key` must not be empty.
Code
  (expect_error(tib_int(NA_character_)))
Output
  <error/rlang_error>
  Error in `tib_int()`:
  ! `key` must not be "NA".
Code
  (expect_error(tib_int("")))
Output
  <error/rlang_error>
  Error in `tib_int()`:
  ! `key` must not be an empty string.
Code
  (expect_error(tib_int(1L)))
Output
  <error/rlang_error>
  Error in `tib_int()`:
  ! `key` must be a character vector, not the number 1.
Code
  (expect_error(tib_int(c("x", NA))))
Output
  <error/rlang_error>
  Error in `tib_int()`:
  ! `key[2] must not be NA.
Code
  (expect_error(tib_int(c("x", ""))))
Output
  <error/rlang_error>
  Error in `tib_int()`:
  ! `key[2] must not be an empty string.

errors on invalid required

Code
  (expect_error(tib_int("x", required = logical())))
Output
  <error/rlang_error>
  Error in `tib_int()`:
  ! `required` must be `TRUE` or `FALSE`, not an empty logical vector.
Code
  (expect_error(tib_int("x", required = NA)))
Output
  <error/rlang_error>
  Error in `tib_int()`:
  ! `required` must be `TRUE` or `FALSE`, not `NA`.
Code
  (expect_error(tib_int("x", required = 1L)))
Output
  <error/rlang_error>
  Error in `tib_int()`:
  ! `required` must be `TRUE` or `FALSE`, not the number 1.
Code
  (expect_error(tib_int("x", required = c(TRUE, FALSE))))
Output
  <error/rlang_error>
  Error in `tib_int()`:
  ! `required` must be `TRUE` or `FALSE`, not a logical vector.

errors if dots are not empty

Code
  (expect_error(tib_int("x", TRUE)))
Output
  <error/rlib_error_dots_nonempty>
  Error in `tib_int()`:
  ! `...` must be empty.
  x Problematic argument:
  * ..1 = TRUE
  i Did you forget to name an argument?

tib_scalar checks arguments

Code
  (expect_error(tib_scalar("x", model)))
Output
  <error/vctrs_error_scalar_type>
  Error in `tib_scalar()`:
  ! `ptype` must be a vector, not a <lm> object.

Code
  (expect_error(tib_chr("x", ptype_inner = model)))
Output
  <error/vctrs_error_scalar_type>
  Error in `tib_chr()`:
  ! `ptype_inner` must be a vector, not a <lm> object.

Code
  (expect_error(tib_int("x", fill = integer())))
Output
  <error/vctrs_error_assert_size>
  Error in `tib_int()`:
  ! `fill` must have size 1, not size 0.
Code
  (expect_error(tib_int("x", fill = 1:2)))
Output
  <error/vctrs_error_assert_size>
  Error in `tib_int()`:
  ! `fill` must have size 1, not size 2.
Code
  (expect_error(tib_int("x", fill = "a")))
Output
  <error/vctrs_error_cast>
  Error in `tib_int()`:
  ! Can't convert `fill` <character> to match type of `ptype_inner` <integer>.

Code
  (expect_error(tib_chr("x", fill = 0L, ptype_inner = character())))
Output
  <error/vctrs_error_cast>
  Error in `tib_chr()`:
  ! Can't convert `fill` <integer> to match type of `ptype_inner` <character>.

Code
  (expect_error(tib_int("x", transform = integer())))
Output
  <error/rlang_error>
  Error in `tib_int()`:
  ! Can't convert `transform`, an empty integer vector, to a function.

tib_vector checks arguments

Code
  (expect_error(tib_int_vec("x", input_form = "v")))
Output
  <error/rlang_error>
  Error in `tib_int_vec()`:
  ! `input_form` must be one of "vector", "scalar_list", or "object", not "v".
  i Did you mean "vector"?

Code
  (expect_error(tib_vector("x", ptype = model)))
Output
  <error/vctrs_error_scalar_type>
  Error in `tib_vector()`:
  ! `ptype` must be a vector, not a <lm> object.

Code
  (expect_error(tib_chr_vec("x", ptype_inner = model)))
Output
  <error/vctrs_error_scalar_type>
  Error in `tib_chr_vec()`:
  ! `ptype_inner` must be a vector, not a <lm> object.

Code
  (expect_error(tib_int_vec("x", values_to = NA)))
Output
  <error/rlang_error>
  Error in `tib_int_vec()`:
  ! `values_to` must be a single string, not `NA`.
Code
  (expect_error(tib_int_vec("x", values_to = 1)))
Output
  <error/rlang_error>
  Error in `tib_int_vec()`:
  ! `values_to` must be a single string, not the number 1.
Code
  (expect_error(tib_int_vec("x", values_to = c("a", "b"))))
Output
  <error/rlang_error>
  Error in `tib_int_vec()`:
  ! `values_to` must be a single string, not a character vector.

Code
  (expect_error(tib_int_vec("x", input_form = "scalar_list", values_to = "val",
    names_to = "name")))
Output
  <error/rlang_error>
  Error in `tib_int_vec()`:
  ! `names_to` can't be used for `input_form = "scalar_list"`.
Code
  (expect_error(tib_int_vec("x", input_form = "object", names_to = "name")))
Output
  <error/rlang_error>
  Error in `tib_int_vec()`:
  ! `names_to` can only be used if `values_to` is not `NULL`.
Code
  (expect_error(tib_int_vec("x", input_form = "object", values_to = "val",
    names_to = "val")))
Output
  <error/rlang_error>
  Error in `tib_int_vec()`:
  ! `names_to` must be different from `values_to`.
Code
  (expect_error(tib_int_vec("x", input_form = "object", values_to = "val",
    names_to = 1)))
Output
  <error/rlang_error>
  Error in `tib_int_vec()`:
  ! `names_to` must be a single string, not the number 1.
Code
  (expect_error(tib_int_vec("x", input_form = "object", values_to = "val",
    names_to = c("a", "b"))))
Output
  <error/rlang_error>
  Error in `tib_int_vec()`:
  ! `names_to` must be a single string, not a character vector.

tib_df() checks arguments

Code
  (expect_error(tib_df("x", .names_to = 1)))
Output
  <error/rlang_error>
  Error in `tib_df()`:
  ! `.names_to` must be a single string, not the number 1.

tibblify documentation built on Nov. 16, 2022, 5:07 p.m.