inst/tinytest/overload/test-error.R

# set-up ====
enumerate <- 0L
errorfun <- function(tt) {
  
  if(isFALSE(tt)) stop(print(tt))
}

test_make_dims <- function(n) {
  
  # make dimensions that are randomly of size 1 or 5:
  out <- lapply(1:n, \(n)sample(c(1, 5), 1)) |> unlist()
  
  # check if the dimensions produce a too large object.
  # If so, replace one >1L dimension with 1L
  if(prod(out) > 5000L) {
    ind <- which(out > 1L)[1L]
    out[ind] <- 1L
  }
  return(out)
}
.return_missing <- broadcast:::.return_missing

gen <- function() sample(c(rnorm(10), NA, NA, NaN, NaN, Inf, Inf, -Inf, -Inf))

accept_test <- function(x, y) {
  checkx <- broadcast:::.is_numeric_like(x) || is.complex(x) || is.raw(x)
  checky <- broadcast:::.is_numeric_like(y) || is.complex(y) || is.raw(y)
  return(!checkx && !checky)
}


# non-numeric argument ====
x.data <- list(
  sample(c(TRUE, FALSE, NA), 100, TRUE), # logical
  sample(c(-10:10, NA), 100, TRUE), # integer
  gen(), # double,
  gen() + gen() * -1i, # complex,
  sample(sample(letters, 100, TRUE)), # character
  sample(as.raw(0:255), 100) # raw
)
y.data <- list(
  sample(c(TRUE, FALSE, NA), 100, TRUE), # logical
  sample(c(-10:10, NA), 100, TRUE), # integer
  gen(), # double,
  gen() + gen() * -1i, # complex,
  sample(sample(letters, 100, TRUE)), # character
  sample(as.raw(0:255), 100) # raw
)

for(iDataX in seq_along(x.data)) {
  for(iDataY in seq_along(y.data)) {
    x <- x.data[[iDataX]]
    y <- y.data[[iDataY]]
    
    
    if(accept_test(x, y)) {
      for(iBC in c(0, 1, 2)) {
        if(iBC == 0) {
          broadcaster(x) <- TRUE
        }
        else if(iBC == 1) {
          broadcaster(y) <- TRUE
        }
        else {
          broadcaster(x) <- TRUE
          broadcaster(y) <- TRUE
        }
        
        
        
        expect_error(
          x + y,
          pattern = "non-numeric argument to binary operator"
        ) |> errorfun()
        
        expect_error(
          x - y,
          pattern = "non-numeric argument to binary operator"
        )  |> errorfun()
        
        expect_error(
          x * y,
          pattern = "non-numeric argument to binary operator"
        )  |> errorfun()
        
        expect_error(
          x / y,
          pattern = "non-numeric argument to binary operator"
        )  |> errorfun()
        
        enumerate <- enumerate + 4L
        
        
      }
      
    }
    
  }
}


x <- as.raw(1)
y <- 1:10
broadcaster(x) <- TRUE
expect_error(
  x & y
)

enumerate <- enumerate + 2L

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broadcast documentation built on Sept. 15, 2025, 5:08 p.m.