Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

remove rematch2 and tibble deps #196

Merged
merged 5 commits into from
Oct 21, 2024
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
13 changes: 5 additions & 8 deletions DESCRIPTION
Original file line number Diff line number Diff line change
Expand Up @@ -12,18 +12,15 @@ Description: Compare complex R objects and reveal the key differences.
License: MIT + file LICENSE
URL: https://waldo.r-lib.org, https://github.com/r-lib/waldo
BugReports: https://github.com/r-lib/waldo/issues
Depends:
R (>= 3.6)
Imports:
Depends:
R (>= 4.0)
Imports:
cli,
diffobj (>= 0.3.4),
glue,
methods,
rematch2,
rlang (>= 1.0.0),
tibble
Suggests:
covr,
rlang (>= 1.0.0)
Suggests:
R6,
testthat (>= 3.0.0),
withr,
Expand Down
3 changes: 3 additions & 0 deletions NEWS.md
Original file line number Diff line number Diff line change
@@ -1,5 +1,8 @@
# waldo (development version)

* waldo no longer imports tibble and rematch2 (@olivroy, #196).
* waldo now requires R 4.0.0.

# waldo 0.5.3

* waldo no longer imports fansi (@olivroy, #192).
Expand Down
23 changes: 23 additions & 0 deletions R/rematch.R
Original file line number Diff line number Diff line change
@@ -0,0 +1,23 @@
# Source copied from rematch2::re_match, but doesn't return tibble.
re_match <- function(text, pattern, perl = TRUE, ...) {
stopifnot(is.character(pattern), length(pattern) == 1, !is.na(pattern))
text <- as.character(text)
match <- regexpr(pattern, text, perl = perl, ...)
start <- as.vector(match)
length <- attr(match, "match.length")
end <- start + length - 1L
matchstr <- substring(text, start, end)
matchstr[start == -1] <- NA_character_
res <- data.frame(.text = text, .match = matchstr)
if (!is.null(attr(match, "capture.start"))) {
gstart <- attr(match, "capture.start")
glength <- attr(match, "capture.length")
gend <- gstart + glength - 1L
groupstr <- substring(text, gstart, gend)
groupstr[gstart == -1] <- NA_character_
dim(groupstr) <- dim(gstart)
res <- cbind(groupstr, res)
}
names(res) <- c(attr(match, "capture.names"), ".text", ".match")
res
}
4 changes: 2 additions & 2 deletions R/ses.R
Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@ ses <- function(x, y) {
}

out <- diffobj::ses(x, y, warn = FALSE, max.diffs = 100)
out <- rematch2::re_match(out, paste0(
out <- re_match(out, paste0(
"(?:(?<x1>\\d+),)?(?<x2>\\d+)",
"(?<t>[acd])",
"(?:(?<y1>\\d+),)?(?<y2>\\d+)"
Expand Down Expand Up @@ -146,5 +146,5 @@ diff_complete <- function(diff) {
}

ses_df <- function(x1, x2, t, y1, y2) {
tibble::tibble(x1 = x1, x2 = x2, t = t, y1 = y1, y2 = y2)
data.frame(x1 = x1, x2 = x2, t = t, y1 = y1, y2 = y2)
}
5 changes: 2 additions & 3 deletions tests/testthat/_snaps/compare-data-frame.md
Original file line number Diff line number Diff line change
Expand Up @@ -43,9 +43,8 @@
# informative diff for changes

Code
df1 <- data.frame(x = 1:3, y = 1, z = c("a", "b", "c"), stringsAsFactors = FALSE)
df2 <- data.frame(x = c(1, 100, 3), y = 1, z = c("a", "B", "c"),
stringsAsFactors = FALSE)
df1 <- data.frame(x = 1:3, y = 1, z = c("a", "b", "c"))
df2 <- data.frame(x = c(1, 100, 3), y = 1, z = c("a", "B", "c"))
compare(df1, df2)
Output
old vs new
Expand Down
4 changes: 2 additions & 2 deletions tests/testthat/test-compare-data-frame.R
Original file line number Diff line number Diff line change
Expand Up @@ -8,8 +8,8 @@ test_that("informative diff for additions and deletions", {

test_that("informative diff for changes", {
expect_snapshot({
df1 <- data.frame(x = 1:3, y = 1, z = c("a", "b", "c"), stringsAsFactors = FALSE)
df2 <- data.frame(x = c(1, 100, 3), y = 1, z = c("a", "B", "c"), stringsAsFactors = FALSE)
df1 <- data.frame(x = 1:3, y = 1, z = c("a", "b", "c"))
df2 <- data.frame(x = c(1, 100, 3), y = 1, z = c("a", "B", "c"))
compare(df1, df2)
})
})
Expand Down
Loading