tests/testthat/_snaps/arithmetic.md

In sparsevctrs: Sparse Vectors for Use in Data Frames

scalar arithmetic errors for non-numeric sparse vectors

Code
  sparse_multiplication_scalar(vec_lgl, 2)
Condition
  Error in `sparse_multiplication_scalar()`:
  ! `x` must be a sparse integer or double vector.

Code
  sparse_multiplication_scalar(vec_chr, 2)
Condition
  Error in `sparse_multiplication_scalar()`:
  ! `x` must be a sparse integer or double vector.

Code
  sparse_division_scalar(vec_lgl, 2)
Condition
  Error in `sparse_division_scalar()`:
  ! `x` must be a sparse integer or double vector.

Code
  sparse_division_scalar(vec_chr, 2)
Condition
  Error in `sparse_division_scalar()`:
  ! `x` must be a sparse integer or double vector.

Code
  sparse_addition_scalar(vec_lgl, 2)
Condition
  Error in `sparse_addition_scalar()`:
  ! `x` must be a sparse integer or double vector.

Code
  sparse_addition_scalar(vec_chr, 2)
Condition
  Error in `sparse_addition_scalar()`:
  ! `x` must be a sparse integer or double vector.

Code
  sparse_subtraction_scalar(vec_lgl, 2)
Condition
  Error in `sparse_subtraction_scalar()`:
  ! `x` must be a sparse integer or double vector.

Code
  sparse_subtraction_scalar(vec_chr, 2)
Condition
  Error in `sparse_subtraction_scalar()`:
  ! `x` must be a sparse integer or double vector.

scalar arithmetic errors for non-numeric val

Code
  sparse_addition_scalar(vec_dbl, "a")
Condition
  Error in `sparse_addition_scalar()`:
  ! `val` must be a single number.

scalar arithmetic on sparse integers needs whole number val

Code
  sparse_multiplication_scalar(vec_int, 0.3)
Condition
  Error in `sparse_multiplication_scalar()`:
  ! `val` must be a whole number when `x` is a sparse integer vector.

Code
  sparse_addition_scalar(vec_int, 0.5)
Condition
  Error in `sparse_addition_scalar()`:
  ! `val` must be a whole number when `x` is a sparse integer vector.

Code
  sparse_multiplication_scalar(vec_int, 0.5)
Condition
  Error in `sparse_multiplication_scalar()`:
  ! `val` must be a whole number when `x` is a sparse integer vector.

Code
  sparse_multiplication_scalar(vec_odd, 0.5)
Condition
  Error in `sparse_multiplication_scalar()`:
  ! `val` must be a whole number when `x` is a sparse integer vector.

Code
  sparse_subtraction_scalar(vec_int, Inf)
Condition
  Error in `sparse_subtraction_scalar()`:
  ! `val` must be a whole number when `x` is a sparse integer vector.

scalar arithmetic on sparse integers handles overflow

Code
  sparse_addition_scalar(vec_default, 1L)
Condition
  Error in `sparse_addition_scalar()`:
  ! Integer overflow in the default value of `x`.

scalar arithmetic errors for results that can't be stored

Code
  sparse_multiplication_scalar(vec_dbl, Inf)
Condition
  Error in `sparse_multiplication_scalar()`:
  ! The result has a `NaN` default value, which sparse double vectors can't store.

Code
  sparse_addition_scalar(vec_dbl, Inf)
Condition
  Error in `sparse_addition_scalar()`:
  ! The result has `Inf` or `NaN` values, which sparse double vectors can't store.

vector multiplication errors for non-numeric input

Code
  sparse_multiplication("a", 1)
Condition
  Error in `sparse_multiplication()`:
  ! `x` must be numeric, not a string.

Code
  sparse_multiplication(1, "a")
Condition
  Error in `sparse_multiplication()`:
  ! `y` must be numeric, not a string.

sparsevctrs documentation built on Nov. 2, 2026, 1:09 a.m.