tests/all.equal.R

In flint: Fast Library for Number Theory

library(flint)

x <- .arf(x = 0)
y <- .arf(x = 1)
z <- .arf(x = NaN)

`!` <- is.character
stopifnot( all.equal(x, x),
          !all.equal(x, y),
          !all.equal(x, z),
          !all.equal(y, x),
           all.equal(y, y),
          !all.equal(y, z),
          !all.equal(z, x),
          !all.equal(z, y),
           all.equal(z, z),
           all.equal(x, .arf(x = 0)),
          !all.equal(x, .arf(x = c(0, 0))),
           all.equal(`attr<-`(x, "a", 0), `attr<-`(x, "a", 0)),
          !all.equal(`attr<-`(x, "a", 0), `attr<-`(x, "a", 1)),
           all.equal(`attr<-`(x, "a", 0), `attr<-`(x, "a", 1),
                     check.attributes = FALSE),
          !all.equal(`attr<-`(x, "a", 0), `attr<-`(x, "b", 0)),
           all.equal(`attr<-`(x, "a", 0), `attr<-`(x, "b", 0),
                     check.attributes = FALSE),
           all.equal(`names<-`(x, "a"), `names<-`(x, "a")),
          !all.equal(`names<-`(x, "a"), `names<-`(x, "b")),
           all.equal(`names<-`(x, "a"), `names<-`(x, "b"),
                     check.attributes = FALSE),
           all.equal(`names<-`(x, "a"), `names<-`(x, "b"),
                     check.names      = FALSE),
          !all.equal(x, "0"),
          !all.equal(x, "0",
                     check.attributes = FALSE),
          !all.equal(x, "0",
                     check.class      = FALSE),
          !all.equal(x, 0),
          !all.equal(x, 0,
                     check.attributes = FALSE),
           all.equal(x, 0,
                     check.class      = FALSE),
          !all.equal(x, .acf(1L)),
          !all.equal(x, .acf(1L),
                     check.attributes = FALSE),
           all.equal(x, .acf(1L),
                     check.class      = FALSE),
          !all.equal(x, y, scale = 1),
           all.equal(x, y, scale = 1, tolerance =   1),
          !all.equal(x, y, scale = 1, tolerance = 0.9),
           all.equal(x, y, scale = 2, tolerance = 0.5),
          !all.equal(x, y, scale = 2, tolerance = 0.4))