testthat (version 3.1.1)

compare: Provide human-readable comparison of two objects

Description

[Superseded]

compare is similar to base::all.equal(), but somewhat buggy in its use of tolerance. Please use waldo instead.

Usage

compare(x, y, ...)

# S3 method for default compare(x, y, ..., max_diffs = 9)

# S3 method for character compare( x, y, check.attributes = TRUE, ..., max_diffs = 5, max_lines = 5, width = cli::console_width() )

# S3 method for numeric compare( x, y, tolerance = testthat_tolerance(), check.attributes = TRUE, ..., max_diffs = 9 )

testthat_tolerance()

# S3 method for POSIXt compare(x, y, tolerance = 0.001, ..., max_diffs = 9)

Arguments

x, y

Objects to compare

...

Additional arguments used to control specifics of comparison

max_diffs

Maximum number of differences to show

check.attributes

If TRUE, also checks values of attributes.

max_lines

Maximum number of lines to show from each difference

width

Width of output device

tolerance

Numerical tolerance: any differences (in the sense of base::all.equal()) smaller than this value will be ignored.

The default tolerance is sqrt(.Machine$double.eps), unless long doubles are not available, in which case the test is skipped.

Examples

Run this code
# NOT RUN {
# Character -----------------------------------------------------------------
x <- c("abc", "def", "jih")
compare(x, x)

y <- paste0(x, "y")
compare(x, y)

compare(letters, paste0(letters, "-"))

x <- "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis cursus
 tincidunt auctor. Vestibulum ac metus bibendum, facilisis nisi non, pulvinar
 dolor. Donec pretium iaculis nulla, ut interdum sapien ultricies a. "
y <- "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis cursus
 tincidunt auctor. Vestibulum ac metus1 bibendum, facilisis nisi non, pulvinar
 dolor. Donec pretium iaculis nulla, ut interdum sapien ultricies a. "
compare(x, y)
compare(c(x, x), c(y, y))

# Numeric -------------------------------------------------------------------

x <- y <- runif(100)
y[sample(100, 10)] <- 5
compare(x, y)

x <- y <- 1:10
x[5] <- NA
x[6] <- 6.5
compare(x, y)

# Compare ignores minor numeric differences in the same way
# as all.equal.
compare(x, x + 1e-9)
# }

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