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mutate() now supports the argument .keep = "transmute" #176

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mutate() now supports the argument .keep = "transmute" #176

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2979f81
mutate() now supports the argument .keep = "transmute"
apalacio9502 Jun 3, 2024
04a6252
dplyr (>= 1.1.4.9000) is required
apalacio9502 Jun 3, 2024
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2 changes: 1 addition & 1 deletion DESCRIPTION
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Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@ Imports:
cli,
collections,
DBI,
dplyr (>= 1.1.4),
dplyr (>= 1.1.4.9000),
duckdb (>= 0.10.2),
glue,
jsonlite,
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21 changes: 13 additions & 8 deletions R/dplyr-reimplement.R
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Expand Up @@ -5,14 +5,19 @@ duckplyr_mutate_keep <- function(out, keep, used, names_new, names_groups) {

names <- names(out)

names_keep <- switch(keep,
used = names(used)[used],
unused = names(used)[!used],
none = character(),
abort("Unknown `keep`.", .internal = TRUE)
)

names_out <- intersect(names, c(names_new, names_groups, names_keep))
if (keep == "transmute") {
names_groups <- setdiff(names_groups, names_new)
names_out <- c(names_groups, names_new)
} else {
names_keep <- switch(
keep,
used = names(used)[used],
unused = names(used)[!used],
none = character(),
abort("Unknown `keep`.", .internal = TRUE)
)
names_out <- intersect(names, c(names_new, names_groups, names_keep))
}

select(out, !!!names_out)
}
6 changes: 4 additions & 2 deletions R/mutate.R
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@@ -1,6 +1,6 @@
# Generated by 02-duckplyr_df-methods.R
#' @export
mutate.duckplyr_df <- function(.data, ..., .by = NULL, .keep = c("all", "used", "unused", "none"), .before = NULL, .after = NULL) {
mutate.duckplyr_df <- function(.data, ..., .by = NULL, .keep = c("all", "used", "unused", "none", "transmute"), .before = NULL, .after = NULL) {
by_arg <- enquo(.by)
keep <- arg_match(.keep)

Expand Down Expand Up @@ -55,6 +55,7 @@ mutate.duckplyr_df <- function(.data, ..., .by = NULL, .keep = c("all", "used",

out <- mutate_relocate(
out = out,
keep = keep,
before = {{ .before }},
after = {{ .after }},
names_original = names_original
Expand All @@ -81,7 +82,7 @@ mutate.duckplyr_df <- function(.data, ..., .by = NULL, .keep = c("all", "used",
return(out)

# dplyr implementation
keep <- arg_match0(.keep, values = c("all", "used", "unused", "none"))
keep <- arg_match0(.keep, values = c("all", "used", "unused", "none", "transmute"))

by <- compute_by({{ .by }}, .data, by_arg = ".by", data_arg = ".data")

Expand All @@ -94,6 +95,7 @@ mutate.duckplyr_df <- function(.data, ..., .by = NULL, .keep = c("all", "used",

out <- mutate_relocate(
out = out,
keep = keep,
before = {{ .before }},
after = {{ .after }},
names_original = names_original
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