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NAME <- "diffChr"
source(file.path('_helper', 'init.R'))
# - Corner Cases ---------------------------------------------------------------
# Corner cases from https://neil.fraser.name/writing/diff/
# Both of these appear handled correctly by the algorithm here
# first one: suboptimal edit script due to two sided approach
A1 <- c("X", "A", "X", "C", "X", "A", "B", "C")
B1 <- c("A", "B", "C", "Y")
all.equal(as.character(diffChr(A1, B1)), rdsf(100))
# second one: failure to find intersection at ends of paths (paths run into
# each other eventually)
A2 <- c("A", "B", "X", "A", "B")
B2 <- c("A", "Y", "B")
all.equal(as.character(diffChr(A2, B2)), rdsf(200))
# Simple corner cases
all.equal(
as.character(diffChr(character(), character())), rdsf(225)
)
all.equal(as.character(diffChr("", "")), rdsf(250))
# - Larger strings -------------------------------------------------------------
# diffChr(X[1:2000], X[2001:4000])
all.equal(as.character(diffChr(chr.7, chr.8)), rdsf(300))
# Too slow to run; useful for benchmarking though
# X1 <- X[1:2e4]
# X2 <- X1[-sample(seq_along(X1), 2e3)]
# X2[sample(seq_along(X2), 4e3)] <- "XXXXXX"
# res <- diffChr(X1, X2)
# res <- diffChr(X[1:10000], X[7500:17500])
# res <- ses(X[1:10000], X[7500:17500])
# res <- diffChr(X[1:25000], X[10001:50000], max.diffs=65000)
# - Sentences
chr.5 <- c(
"hello there how are you doing",
"humpty dumpty took a big fall",
"lorem ipsum dolor sic est boom",
"a computer once wrote a phrase"
)
chr.6 <- c(
"hello THERE how are you doing",
"and another SENTENCE blah blah",
"humpty dumpty TOOK a big fall",
"a COMPUTER once wrote a phrase"
)
all.equal(as.character(diffChr(chr.5, chr.6)), rdsf(400))
all.equal(
as.character(diffChr(chr.5, chr.6, mode="unified")), rdsf(500)
)
all.equal(
as.character(diffChr(chr.5, chr.6, mode="context")), rdsf(600)
)
# - Whitespace -----------------------------------------------------------------
all.equal(
as.character(diffChr(c("a", "b", "c"), c("a ", "b", "c"))), rdsf(800)
)
all.equal(
as.character(
diffChr(c("a", "b", "c"), c("a ", "b", "c"), ignore.white.space=FALSE)
),
rdsf(900)
)
# New lines count as new elements
all.equal(
as.character(diffChr("woo\nhoo\nfoo", c("woo", "foo"))), rdsf(1000)
)
all.equal(
capture.output(diffChr("hello . world", "hello. world", format='raw')),
txtf(100)
)
# - SGR ------------------------------------------------------------------------
a <- c("hello \033[31mworld\033[m", "umbrellas", "tomatoes")
b <- c("hello world", "umbrellas", "tomatoes")
local({
old.opt <- options(diffobj.sgr.supported=TRUE)
on.exit(options(old.opt))
diff <- diffChr(a, b) # warn: 'contained ANSI CSI SGR'
try(diffChr(a, b, strip.sgr=1:3)) # "TRUE, FALSE, or NULL"
try(diffChr(a, b, sgr.supported=1:3)) # "TRUE, FALSE, or NULL"
c(
all.equal(capture.output(show(diff)), txtf(200)),
all.equal(capture.output(show(diffChr(a, b, strip.sgr=FALSE))), txtf(300)),
all.equal(capture.output(show(diffChr(a, b, format='raw'))), txtf(400))
)
})
# - Alignment ------------------------------------------------------------------
chr.7 <- c("a b c d e", "F G h i j k", "xxx", "yyy", "k l m n o")
chr.8 <- c("f g h i j k", "hello", "goodbye", "yo", "k l m n o")
all.equal(as.character(diffChr(chr.7, chr.8)), rdsf(1100))
all.equal(
as.character(diffChr(chr.7, chr.8, align=4/6)), rdsf(1100) # same as above
)
# No longer aligns
all.equal(
as.character(diffChr(chr.7, chr.8, align=4.01/6)), rdsf(1200)
)
all.equal(
as.character(diffChr(chr.7, chr.8, align=AlignThreshold(min.chars=4))),
rdsf(1100) # same as earlier
)
all.equal(
as.character(diffChr(chr.7, chr.8, align=AlignThreshold(min.chars=5))),
rdsf(1200) # same as above
)
## Normally this would not align, but we allow symbols to count towards
## alignment
chr.7a <- c("a b c e", "d [ f g")
chr.7b <- "D [ f g"
a1 <- AlignThreshold(threshold=0, min.chars=2, count.alnum.only=FALSE)
all.equal(
as.character(diffChr(chr.7a, chr.7b, align=a1, format='raw')),
structure(
c("< chr.7a > chr.7b ", "@@ 1,2 @@ @@ 1 @@ ",
"< a b c e ~ ", "< d [ f g > D [ f g "), len = 4L)
)
# corner case where alignment alog exits early because it runs out of B values
# to match A values to.
b <- c('a b c e', 'x w z f', 'e f g h')
a <- c('z o o o', 'p o o o', 'A b c e')
al <- AlignThreshold(threshold=0, min.chars=0)
all.equal(
capture.output(show(diffChr(b, a, align=al, format='raw'))), txtf(500)
)
# - NAs ------------------------------------------------------------------------
all.equal(
as.character(
diffChr(c(NA, letters[1:3]), c(letters[1:3], LETTERS[1:2], NA))
),
rdsf(1300)
)
all.equal(
as.character(
diffChr(c(letters[1:3]), c(letters[1:3], LETTERS[1:2], NA))
),
rdsf(1400)
)
all.equal(
as.character(
diffChr(c(NA, letters[1:3]), c(letters[1:3], LETTERS[1:2]))
),
rdsf(1500)
)
# - Nested dots issue 134, h/t Noam Ross ---------------------------------------
fn <- function(target, current, ...) {
diffChr(target, current, ...)
}
all.equal(
as.character(fn("a", "b", format = "raw")),
structure(
c(
"< target > current ",
"@@ 1 @@ @@ 1 @@ ",
"< a > b "), len = 3L
)
)
# - Newlines in input, issue 135, h/t Flying Sheep -----------------------------
a <- 'A Time Series:\n[1] 1 2 3 4'
b <- 'A Time Series:\n[1] 9 4 1 4'
all.equal(
c(as.character(diffobj::diffChr(a, b, format = 'raw'))),
c("< a > b ",
"@@ 1,2 @@ @@ 1,2 @@ ",
" A Time Series: A Time Series:",
"< [1] 1 2 3 4 > [1] 9 4 1 4 ")
)
# - Attributes causing dispatch in guides, issue 142 ---------------------------
zlold <- c("0x0000, 0x001F", "0x007F, 0x009F", "0x0300, 0x036F")
zlnew <- structure(
c("0x0000, 0x001F", "0x008F, 0x009F", "0x0300, 0x036F"), .Dim = 3L
)
diffChr(zlold, zlnew) # no warning
# - do.call, issue 158 ---------------------------------------------------------
do.call(diffChr, list(1:2, 3:4, format='raw'))
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