remove rematch2 and tibble deps (#196)

* remove rematch2 and tibble deps
* Require R 4.0 and drop stringsAsFactors

Co-authored-by: Hadley Wickham <[email protected]>

DESCRIPTION

@@ -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,

NEWS.md

@@ -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).

R/rematch.R

@@ -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
+}

R/ses.R

@@ -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+)"
@@ -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)
 }

tests/testthat/_snaps/compare-data-frame.md

@@ -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

tests/testthat/test-compare-data-frame.R

@@ -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)
   })
 })