Nothing
## tests for digest, taken from the examples in the manual page
suppressMessages(library(digest))
# calculate sha1 fingerprints
x.numeric <- c(seq(0, 1, length = 4 ^ 3), -Inf, Inf, NA, NaN)
x.list <- list(letters, x.numeric)
x.dataframe <- data.frame(X = letters,
Y = x.numeric[2],
Z = factor(letters),
stringsAsFactors = FALSE)
x.matrix.num <- as.matrix(x.numeric)
x.matrix.letter <- as.matrix(letters)
x.dataframe.round <- x.dataframe
x.dataframe.round$Y <- signif(x.dataframe.round$Y, 14)
x.factor <- factor(letters)
x.array.num <- as.array(x.numeric)
x.formula <- a~b+c|d
x.paren_formula <- a~(b+c)
x.no_paren_formula <- a~b+c
# tests using detailed numbers
expect_false(identical(x.numeric, signif(x.numeric, 14)))
expect_false(identical(x.matrix.num, signif(x.matrix.num, 14)))
# returns the correct SHA1
expect_true(
identical(
sha1(x.numeric),
{
z <- digest:::num2hex(x.numeric)
attr(z, "digest::sha1") <- list(
class = class(x.numeric),
digits = 14L,
zapsmall = 7L
)
digest(z, algo = "sha1")
}
)
)
# Verify that all numeric values (especially +-Inf and NA/NaN) return unique
# SHA1 hashes
expect_false(
any(duplicated(sapply(x.numeric, sha1)))
)
expect_true(
identical(
sha1(letters),
{
z <- letters
attr(z, "digest::sha1") <- list(
class = "character",
digits = 14L,
zapsmall = 7L
)
digest(z, algo = "sha1")
}
)
)
expect_true(
identical(
sha1(x.list),
{
z <- sapply(x.list, sha1)
attr(z, "digest::sha1") <- list(
class = "list",
digits = 14L,
zapsmall = 7L
)
digest(z, algo = "sha1")
}
)
)
options(sha1PackageVersion = "0.6.22.1")
expect_true(
identical(
sha1(x.dataframe),
{
z <- sapply(x.dataframe, sha1)
attr(z, "digest::sha1") <- list(
class = "data.frame",
digits = 14L,
zapsmall = 7L
)
digest(z, algo = "sha1")
}
)
)
## expect_true(
## identical(
## sha1(x.matrix.num),
## {
## z <- matrix(
## apply(x.matrix.num, 2, digest:::num2hex),
## ncol = ncol(x.matrix.num)
## )
## attr(z, "digest::sha1") <- list(
## class = "matrix",
## digits = 14L,
## zapsmall = 7L
## )
## digest(z, algo = "sha1")
## }
## )
## )
## expect_true(
## identical(
## sha1(x.matrix.letter),
## {
## z <- x.matrix.letter
## attr(z, "digest::sha1") <- list(
## class = "matrix",
## digits = 14L,
## zapsmall = 7L
## )
## digest(z, algo = "sha1")
## }
## )
## )
stopifnot(
identical(
sha1(x.factor),
{
z <- x.factor
attr(z, "digest::sha1") <- list(
class = "factor",
digits = 14L,
zapsmall = 7L
)
digest(z, algo = "sha1")
}
)
)
# a matrix and a vector should have a different hash
expect_true(
!identical(
sha1(x.numeric),
sha1(matrix(x.numeric, nrow = 1))
)
)
expect_true(
!identical(
sha1(x.numeric),
sha1(matrix(x.numeric, ncol = 1))
)
)
expect_true(
!identical(
sha1(letters),
sha1(matrix(letters, nrow = 1))
)
)
expect_true(
!identical(
sha1(letters),
sha1(matrix(letters, ncol = 1))
)
)
# character(0) and numeric(0) should have a different hash
expect_true(!identical(sha1(character(0)), sha1(numeric(0))))
# a POSIXct and a POSIXlt should give a different hash
z <- as.POSIXct("2015-01-02 03:04:06.07", tz = "UTC")
expect_true(
!identical(
sha1(z),
sha1(as.POSIXlt(z))
)
)
lm.model.0 <- lm(weight ~ Time, data = ChickWeight)
lm.model.1 <- lm(weight ~ 1, data = ChickWeight)
glm.model.0 <- glm(weight ~ Time, data = ChickWeight, family = poisson)
glm.model.1 <- glm(weight ~ 1, data = ChickWeight, family = poisson)
anova.list <- list(
lm = anova(lm.model.0, lm.model.1),
glm = anova(glm.model.0, glm.model.1),
glm.test = anova(glm.model.0, glm.model.1, test = "Chisq")
)
# works with lm anova"
expect_true(
identical(
sha1(anova.list[["lm"]]),
{
y <- apply(
anova.list[["lm"]],
1,
digest:::num2hex,
digits = 4,
zapsmall = 7
)
attr(y, "digest::sha1") <- list(
class = c("anova", "data.frame"),
digits = 4L,
zapsmall = 7L
)
digest(y, algo = "sha1")
}
)
)
# works with glm anova"
expect_true(
identical(
sha1(anova.list[["glm"]]),
{
y <- apply(
anova.list[["glm"]],
1,
digest:::num2hex,
digits = 4,
zapsmall = 7
)
attr(y, "digest::sha1") <- list(
class = c("anova", "data.frame"),
digits = 4L,
zapsmall = 7L
)
digest(y, algo = "sha1")
}
)
)
expect_true(
identical(
sha1(anova.list[["glm.test"]]),
{
y <- apply(
anova.list[["glm.test"]],
1,
digest:::num2hex,
digits = 4,
zapsmall = 7
)
attr(y, "digest::sha1") <- list(
class = c("anova", "data.frame"),
digits = 4L,
zapsmall = 7L
)
digest(y, algo = "sha1")
}
)
)
expect_true(
identical(
sha1(x.formula, environment=FALSE),
{
y <- sapply(
X=x.formula,
FUN=sha1,
digits=14L,
zapsmall=7L,
...=list(environment=FALSE),
algo="sha1"
)
attr(y, "digest::sha1") <- list(
class="formula",
digits=14L,
zapsmall=7L,
environment=FALSE
)
digest(y, algo="sha1")
}
)
)
expect_true(
identical(
sha1(x.formula),
{
y <- c(
sapply(
X=x.formula,
FUN=sha1,
digits=14L,
zapsmall=7L,
...=list(environment=TRUE),
algo="sha1"
),
digest(environment(x.formula), algo="sha1")
)
attr(y, "digest::sha1") <- list(
class="formula",
digits=14L,
zapsmall=7L
)
digest(y, algo="sha1")
}
)
)
expect_true(
sha1(x.paren_formula) != sha1(x.no_paren_formula)
)
test.element <- list(
# NULL
NULL,
# empty classes
logical(0), integer(0), numeric(0), character(0), list(), data.frame(),
# scalar
TRUE, FALSE, 1L, 1, "a",
# date. Make sure to add the time zone. Otherwise the test might fail
as.POSIXct("2015-01-02 03:04:06.07", tz = "UTC"),
# vector
c(TRUE, FALSE), 1:3, seq(0, 10, length = 4), letters[1:3],
factor(letters[4:6]),
as.POSIXct(c("2015-01-02 03:04:06.07", "1960-12-31 23:59:59"), tz = "UTC")
)
select.vector <- which(sapply(test.element, length) > 1)
test.element <- c(
test.element,
# add a data.frame
list(expand.grid(test.element[select.vector])),
# add a list
list(test.element[select.vector]),
# add matrices
list(matrix(1:10)),
list(matrix(seq(0, 10, length = 4))),
list(matrix(letters))
)
# different values for digits or zapsmall gives different hashes
# expect for NULL
expect_true(
identical(
sha1(NULL, digits = 14),
sha1(NULL, digits = 13)
)
)
expect_true(
identical(
sha1(NULL, zapsmall = 14),
sha1(NULL, zapsmall = 13)
)
)
for (i in tail(seq_along(test.element), -1)) {
expect_true(
!identical(
sha1(test.element[[i]], digits = 14),
sha1(test.element[[i]], digits = 13)
)
)
expect_true(
!identical(
sha1(test.element[[i]], zapsmall = 7),
sha1(test.element[[i]], zapsmall = 6)
)
)
}
test.element <- c(test.element, anova.list)
#cat("\ncorrect <- c(\n")
#cat(
# sprintf(" \"%s\"", sapply(test.element, sha1)),
# sep = ",\n"
#)
#cat(")\n")
correct <- c(
"8d9c05ec7ae28b219c4c56edbce6a721bd68af82",
"d61eeea290dd09c5a3eba41c2b3174b6e4e2366d",
"af23305d27f0409c91bdb86ba7c0cdb2e09a5dc6",
"0c9ca70ce773deb0d9c0b0579c3b94856edf15cc",
"095886422ad26e315c0960ef6b09842a1f9cc0ce",
"6cc04c6c432bb91e210efe0b25c6ca809e6df2e3",
"c1113ba008a349de64da2a7a724e501c1eb3929b",
"6e12370bdc6fc457cc154f0525e22c6aa6439f4d",
"1c1b5393c68a643bc79c277c6d7374d0b30cd985",
"b48c17a2ac82601ff38df374f87d76005fb61cbd",
"35280c99aa6a48bfc2810b72b763ccac0f632207",
"f757cc017308d217f35ed8f0c001a57b97308fb7",
"cfcf101b8449af67d34cdc1bcb0432fe9e4de08e",
"a14384d1997440bad13b97b3ccfb3b8c0392e79a",
"555f6bea49e58a2c2541060a21c2d4f9078c3086",
"631d18dec342e2cb87614864ba525ebb9ad6a124",
"b6c04f16b6fdacc794ea75c8c8dd210f99fafa65",
"25485ba7e315956267b3fdc521b421bbb046325d",
"6def3ca353dfc1a904bddd00e6a410d41ac7ab01",
"cf220bcf84c3d0ab1b01f8f764396941d15ff20f",
"2af8021b838f613aee7670bed19d0ddf1d6bc0c1",
"270ed85d46524a59e3274d89a1bbf693521cb6af",
"60e09482f12fda20f7d4a70e379c969c5a73f512",
"10380001af2a541b5feefc7aab9f719b67330a42",
"4580ff07f27eb8321421efac1676a80d9239572a",
"d3022c5a223caaf77e9c564e024199e5d6f51bd5",
"f54742ac61edd8c3980354620816c762b524dfc7"
)
# each object should yield a different hash
expect_true(!any(duplicated(correct)))
# returns the same SHA1 on both 32-bit and 64-bit OS"
## for (i in seq_along(test.element)) {
## expect_true(
## identical(
## sha1(test.element[[i]]),
## correct[i]
## )
## )
## }
# does work with empty lists and data.frames
expect_true(is.character(sha1(list())))
expect_true(is.character(sha1(data.frame())))
expect_true(is.character(sha1(list(a = 1, b = list(), c = data.frame()))))
# does work with complex type
expect_true(is.character(sha1(2 + 5i))) # single complex number
expect_true(is.character(sha1(1:10 + 5i))) # vector of complex numbers
# complex number with only the real part should be different from real number
expect_true(sha1(2) != sha1(2 + 0i))
# does work with Date type
expect_true(is.character(sha1(Sys.Date())))
expect_true(sha1(as.Date("1980-01-01")) != sha1(as.Date("1990-01-01")))
# different hashes for differently shaped arrays that contain the same data
data <- 1:8
a <- array(data, dim = c(2,2,2)) # cube 2x2x2
b <- array(data, dim = c(2,4,1)) # matrix 2x4
expect_true(sha1(a) != sha1(b))
# test error message
junk <- pi
class(junk) <- c("A", "B")
#error.message <- try(sha1(junk))
#expect_true(grepl("sha1\\(\\) has no method for the 'A', 'B' class", error.message))
junk <- function(
x, y = list(...), test = TRUE, start = NULL, text = "abc", family = poisson,
...
){
sha1(x)
}
#expect_true(sha1(junk) == "be194e8cdae926c13fd4e2c65bf6cb7a28dd0505")
expect_true(sha1(junk) == sha1(junk, environment = TRUE))
expect_true(sha1(junk) != sha1(junk, environment = FALSE))
#expect_true(sha1(matrix(integer(0))) == "e13485e1b995f3e36d43674dcbfedea08ce237bc")
expect_true(
!identical(
sha1(matrix(integer(0))),
sha1(matrix(character(0)))
)
)
expect_true(
!identical(
sha1(matrix(integer(0))),
sha1(matrix(numeric(0)))
)
)
## if (getRversion() < "3.5.0") {
## expect_true(
## identical(
## sha1(serialize("e13485e1b995f3e36d43674dcbfedea08ce237bc", NULL)),
## "93ab6a61f1a2ad50d4bf58396dc38cd3821b2eaf"
## )
## )
## }
x <- letters
for (algo in c("md5", "sha1", "crc32", "sha256", "sha512", "xxhash32",
"xxhash64", "murmur32")) {
y <- x
attr(y, "digest::sha1") <- digest:::attr_sha1(x, 14L, 7L, algo = algo)
expect_true(
identical(
sha1(x, algo = algo),
digest(y, algo = algo)
)
)
}
expect_true(is.character(sha1(sessionInfo())))
# check the effect of attributes from version 0.6.22.2
options(sha1PackageVersion = utils::packageVersion("digest"))
check_attribute_effect <- function(x) {
y <- x
attr(y, "test") <- "junk"
expect_false(sha1(x) == sha1(y))
}
test.element <- list(2 + 5i, x.array.num, Sys.Date(), Sys.time(), y ~ x)
test.element <- c(test.element, list(x.dataframe), anova.list, function(x){x})
for (z in test.element) {
check_attribute_effect(z)
}
# check that sha1() on contributed functions maintain there hash after storing
f <- tempfile(fileext = ".rds")
x <- digest::sha1
saveRDS(x, f)
y <- readRDS(f)
expect_identical(sha1(x), sha1(y))
expect_identical(sha1(x, environment = FALSE), sha1(y, environment = FALSE))
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