fix(DuckDBDataFrame): declare x formal in table() methods for Bioc-devel x-dispatch generic (0.99.1)

Author: aboyounp-gne

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: DuckDBDataFrame
-Version: 0.99.00
-Date: 2026-07-19
+Version: 0.99.1
+Date: 2026-07-21
 Title: DuckDB-Backed DataFrame and Table Structures
 Description:
     Provides DuckDB-backed implementations of core tabular data structures

NEWS.md

@@ -1,3 +1,17 @@
+# DuckDBDataFrame 0.99.1
+
+## Bug fixes
+
+- The `table()` methods for `DuckDBTable` and `DuckDBColumn` now declare `x` as
+  a formal argument (`function(x, ...)`), conforming to the `table` generic in
+  Bioconductor-devel `BiocGenerics`, which dispatches on `x`
+  (`setGeneric("table", signature = "x")`) rather than on `...`. Under the
+  previous `function(...)` definition the package failed to install on
+  Bioc-devel with a `conformMethod` error ("formal arguments ... omitted in the
+  method definition cannot be in the signature"). Behavior is unchanged, and the
+  new signature also conforms against the `...`-dispatch generic in the current
+  Bioconductor release.
+
 # DuckDBDataFrame 0.9.29
 
 ## New features

R/DuckDBColumn-utils.R

@@ -524,8 +524,8 @@ setMethod("%in%", c(x = "DuckDBColumn", table = "ANY"), function(x, table) {
 })
 
 #' @export
-setMethod("table", "DuckDBColumn", function(...) {
-    callGeneric(cbind.DuckDBDataFrame(...))
+setMethod("table", "DuckDBColumn", function(x, ...) {
+    callGeneric(cbind.DuckDBDataFrame(x, ...))
 })
 
 ### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

R/DuckDBTable-utils.R

@@ -884,12 +884,10 @@ setMethod("%in%", c(x = "DuckDBTable", table = "ANY"), function(x, table) {
 #' @export
 #' @importFrom dplyr group_by n summarize
 #' @importFrom stats setNames
-setMethod("table", "DuckDBTable", function(...) {
-    args <- list(...)
-    if (length(args) != 1L) {
+setMethod("table", "DuckDBTable", function(x, ...) {
+    if (...length() != 0L) {
         stop("\"table\" method for DuckDB data can only take one input object")
     }
-    x <- args[[1L]]
     conn <- tblconn(x, select = FALSE)
     groups <- as.list(x@datacols)
     counts <- as.data.frame(summarize(group_by(conn, !!!groups), count = n(), .groups = "drop"))