tests/testthat/_snaps/constructors.md

In tidymodels/dials: Tools for Creating Tuning Parameter Values

qualitative parameter object creation - bad args

Code
  new_qual_param("character", 1:2)
Condition
  Error:
  ! `values` must be a character vector, not an integer vector.

Code
  new_qual_param("logical", letters[1:2])
Condition
  Error:
  ! `values` must be a logical vector, not a character vector.

quantitative parameter object creation - bad args

Code
  new_quant_param("mucus", range = 1:2, inclusive = c(TRUE, TRUE))
Condition
  Error in `new_quant_param()`:
  ! `type` must be one of "double" or "integer", not "mucus".

Code
  new_quant_param("double", range = 1, inclusive = c(TRUE, TRUE))
Condition
  Error in `names(range) <- names(inclusive) <- c("lower", "upper")`:
  ! 'names' attribute [2] must be the same length as the vector [1]

Code
  new_quant_param("double", range = c(1, NA), inclusive = c(TRUE, TRUE))
Condition
  Error:
  x Value ranges must be non-missing.
  i `Inf` and `unknown()` are acceptable values.

Code
  new_quant_param("double", range = c(1, NA), inclusive = TRUE)
Condition
  Error:
  ! `inclusive` must be a logical vector of length 2, not `TRUE`.

Code
  new_quant_param("double", range = c(1, NA), inclusive = c("(", "]"))
Condition
  Error:
  ! `inclusive` must be a logical vector of length 2, not a character vector.

Code
  new_quant_param("double", range = c(1, NA), inclusive = c(TRUE, TRUE))
Condition
  Error:
  x Value ranges must be non-missing.
  i `Inf` and `unknown()` are acceptable values.

Code
  new_quant_param("integer", range = 1:2, inclusive = c(TRUE, NA))
Condition
  Error:
  ! `inclusive` cannot contain missings.

Code
  new_quant_param("integer", range = 1:2, inclusive = c(TRUE, unknown()))
Condition
  Error:
  ! `inclusive` must be a logical vector of length 2, not a list.

Code
  new_quant_param("integer", range = 1:2, inclusive = c(TRUE, TRUE), trans = log)
Condition
  Error:
  x `trans` must be a <trans> class object (or `NULL`).
  i See `scales::trans_new()`.

Code
  new_quant_param("integer", range = 1:2, inclusive = c(TRUE, TRUE), values = 1:4)
Condition
  Error:
  ! Some values are not valid: 3 and 4.

Code
  new_quant_param("integer", range = 1:2, inclusive = c(TRUE, TRUE), finalize = "not a function or NULL")
Condition
  Error:
  ! `finalize` must be a function or `NULL`, not the string "not a function or NULL".

integer parameter: compatibility of inclusive and range (#373)

Code
  new_quant_param(type = "integer", range = c(0, 1), inclusive = c(FALSE, FALSE),
  trans = NULL, label = c(param_non_incl = "some label"), finalize = NULL)
Condition
  Error:
  ! `inclusive` must be `c(TRUE, TRUE)` when the `range` only covers two consecutive values.

Code
  new_quant_param(type = "integer", range = c(0, 1), inclusive = c(FALSE, TRUE),
  trans = NULL, label = c(param_non_incl = "some label"), finalize = NULL)
Condition
  Error:
  ! `inclusive` must be `c(TRUE, TRUE)` when the `range` only covers two consecutive values.

bad args to range_validate

Code
  range_validate(mtry(), range = 1)
Condition
  Error:
  x `range` must have two values: an upper and lower bound.
  i 1 value was provided.
  i `Inf` and `unknown()` are acceptable values.

Code
  range_validate(mtry(), range = c(1, NA))
Condition
  Error:
  x Value ranges must be non-missing.
  i `Inf` and `unknown()` are acceptable values.

Code
  range_validate(mtry(), range = c(1, unknown()), FALSE)
Condition
  Error:
  ! Cannot validate ranges when they contains 1+ unknown values.

Code
  range_validate(mtry(), range = letters[1:2])
Condition
  Error:
  ! Value ranges must be numeric.
  i `Inf` and `unknown()` are acceptable values.

printing

Code
  mtry()
Message
  # Randomly Selected Predictors (quantitative)
  Range: [1, ?]

Code
  surv_dist()
Message
  Distribution (qualitative)
  6 possible values include:
  'weibull', 'exponential', 'gaussian', 'logistic', 'lognormal', and
  'loglogistic'

Code
  value_set(cost_complexity(), log10(c(0.09, 1e-04)))
Message
  Cost-Complexity Parameter (quantitative)
  Transformer: log-10 [1e-100, Inf]
  Range (transformed scale): [-10, -1]
  Values: 2

Code
  mtry_ish <- mtry()
  mtry_ish$label <- NULL
  print(mtry_ish)
Message
  Quantitative Parameter
  Range: [1, ?]

Code
  fun_ish <- weight_func()
  fun_ish$label <- NULL
  print(fun_ish)
Message
  Qualitative Parameter
  9 possible values include:
  'rectangular', 'triangular', 'epanechnikov', 'biweight', 'triweight', 'cos',
  'inv', 'gaussian', and 'rank'

Code
  signed_hash()
Message
  Signed Hash Value (qualitative)
  2 possible values include:
  TRUE and FALSE

bad ranges

Code
  mixture(c(1L, 3L))
Condition
  Error in `mixture()`:
  ! Since `type = "double"`, please use that data type for the range.

Code
  mixture(c(1L, unknown()))
Condition
  Error in `mixture()`:
  ! Since `type = "double"`, please use that data type for the range.

Code
  mixture(c(unknown(), 1L))
Condition
  Error in `mixture()`:
  ! Since `type = "double"`, please use that data type for the range.

Code
  mixture(letters[1:2])
Condition
  Error in `mixture()`:
  ! Since `type = "double"`, please use that data type for the range.

Code
  mtry(c(0.1, 0.5))
Condition
  Error in `mtry()`:
  ! An integer is required for the range and these do not appear to be whole numbers: 0.1 and 0.5.

Code
  mtry(c(0.1, unknown()))
Condition
  Error in `mtry()`:
  ! An integer is required for the range and these do not appear to be whole numbers: 0.1.

Code
  mtry(c(unknown(), 0.5))
Condition
  Error in `mtry()`:
  ! An integer is required for the range and these do not appear to be whole numbers: 0.5.

values must be compatible with range and inclusive

Code
  new_quant_param(type = "integer", values = c(1L, 5L, 10L), range = c(1L, 5L),
  label = c(foo = "Foo"))
Condition
  Error:
  ! Some values are not valid: 10.

Code
  new_quant_param(type = "integer", values = c(1L, 5L, 10L), inclusive = c(TRUE,
    FALSE), label = c(foo = "Foo"))
Condition
  Error:
  ! Some values are not valid: 10.

Code
  new_quant_param(type = "integer", values = NULL, range = NULL, inclusive = c(
    TRUE, FALSE), label = c(foo = "Foo"))
Condition
  Error:
  ! `range` must be supplied if `values` is `NULL`.

Code
  new_quant_param(type = "integer", values = NULL, range = c(1L, 10L), inclusive = NULL,
  label = c(foo = "Foo"))
Condition
  Error:
  ! `inclusive` must be supplied if `values` is `NULL`.

values is validated

Code
  new_quant_param(type = "integer", values = "not_numeric", label = c(foo = "Foo"))
Condition
  Error:
  ! `values` must be numeric.

Code
  new_quant_param(type = "integer", values = NA_integer_, label = c(foo = "Foo"))
Condition
  Error:
  ! `values` can't be `NA`.

Code
  new_quant_param(type = "integer", values = integer(), label = c(foo = "Foo"))
Condition
  Error:
  ! `values` can't be empty.

default arg is deprecated

Code
  quant_param <- new_quant_param(type = "integer", default = 5L, values = 1:10,
  label = c(foo = "Foo"))
Condition
  Error:
  ! The `default` argument of `new_quant_param()` was deprecated in dials 1.1.0 and is now defunct.

Code
  qual_param <- new_qual_param(type = "logical", values = c(FALSE, TRUE),
  default = TRUE, label = c(foo = "Foo"))
Condition
  Error:
  ! The `default` argument of `new_qual_param()` was deprecated in dials 1.1.0 and is now defunct.

tidymodels/dials documentation built on June 10, 2025, 9:34 p.m.