docs: Move to tidyverse

.github/CONTRIBUTING.md

@@ -18,7 +18,7 @@ See our guide on [how to create a great issue](https://code-review.tidyverse.org
 
 ### Pull request process
 
-*   Fork the package and clone onto your computer. If you haven't done this before, we recommend using `usethis::create_from_github("duckdblabs/duckplyr", fork = TRUE)`.
+*   Fork the package and clone onto your computer. If you haven't done this before, we recommend using `usethis::create_from_github("tidyverse/duckplyr", fork = TRUE)`.
 
 *   Install all development dependencies with `devtools::install_dev_deps()`, and then make sure the package passes R CMD check by running `devtools::check()`. 
     If R CMD check doesn't pass cleanly, it's a good idea to ask for help before continuing. 

DESCRIPTION

@@ -13,8 +13,8 @@ Description: A drop-in replacement for 'dplyr', powered by 'DuckDB' for performa
     Also defines a set of generics that provide a low-level
     implementer's interface for the high-level user interface of 'dplyr'.
 License: MIT + file LICENSE
-URL: https://duckdblabs.github.io/duckplyr/, https://github.com/duckdblabs/duckplyr
-BugReports: https://github.com/duckdblabs/duckplyr/issues
+URL: https://tidyverse.github.io/duckplyr/, https://github.com/tidyverse/duckplyr
+BugReports: https://github.com/tidyverse/duckplyr/issues
 Depends: 
     R (>= 4.1.0)
 Imports: 
@@ -58,3 +58,4 @@ Encoding: UTF-8
 Roxygen: list( markdown = TRUE, roclets = c("collate", "namespace", "rd",
     "roxyglobals::global_roclet") )
 RoxygenNote: 7.3.2.9000
+Config/Needs/website: tidyverse/tidytemplate

R/fallback.R

@@ -48,8 +48,8 @@
 #'   as returned by \code{tools::R_user_dir("duckplyr", "cache")}.
 #'
 #' All code related to fallback logging and uploading is in the
-#' [`fallback.R`](https://github.com/duckdblabs/duckplyr/blob/main/R/fallback.R) and
-#' [`telemetry.R`](https://github.com/duckdblabs/duckplyr/blob/main/R/telemetry.R) files.
+#' [`fallback.R`](https://github.com/tidyverse/duckplyr/blob/main/R/fallback.R) and
+#' [`telemetry.R`](https://github.com/tidyverse/duckplyr/blob/main/R/telemetry.R) files.
 #'
 #' @name fallback
 #' @examples

README.Rmd

@@ -35,7 +35,7 @@ Sys.setenv(DUCKPLYR_OUTPUT_ORDER = TRUE)
 
 <!-- badges: start -->
 [![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)
-[![R-CMD-check](https://github.com/duckdblabs/duckplyr/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/duckdblabs/duckplyr/actions/workflows/R-CMD-check.yaml)
+[![R-CMD-check](https://github.com/tidyverse/duckplyr/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/tidyverse/duckplyr/actions/workflows/R-CMD-check.yaml)
 <!-- badges: end -->
 
 The goal of the duckplyr R package is to provide a drop-in replacement for [dplyr](https://dplyr.tidyverse.org/) that uses [DuckDB](https://duckdb.org/) as a backend for fast operation.
@@ -54,14 +54,14 @@ install.packages("duckplyr")
 You can also install the development version of duckplyr from R-universe:
 
 ``` r
-install.packages("duckplyr", repos = c("https://duckdblabs.r-universe.dev", "https://cloud.r-project.org"))
+install.packages("duckplyr", repos = c("https://tidyverse.r-universe.dev", "https://cloud.r-project.org"))
 ```
 
 Or from [GitHub](https://github.com/) with:
 
 ``` r
 # install.packages("pak", repos = sprintf("https://r-lib.github.io/p/pak/stable/%s/%s/%s", .Platform$pkgType, R.Version()$os, R.Version()$arch))
-pak::pak("duckdblabs/duckplyr")
+pak::pak("tidyverse/duckplyr")
 ```
 
 

_pkgdown.yml

@@ -1,5 +1,7 @@
-url: https://duckdblabs.github.io/duckplyr/
+url: https://tidyverse.github.io/duckplyr
+
 template:
+  package: tidytemplate
   bootstrap: 5
 
 reference:
@@ -23,6 +25,9 @@ reference:
   - new_relational
   - new_relexpr
 
+development:
+  mode: auto
+
 authors:
   Kirill Müller:
     href: https://krlmlr.info

gh-analysis/README.md

@@ -43,7 +43,7 @@ WHERE
 
 ### `tinker.r_contents`
 
-This is the final dataset, available for download from a [GitHub release](https://github.com/duckdblabs/duckplyr/releases/tag/gh-analysis) in this repository, uploaded with the [piggyback](https://docs.ropensci.org/piggyback) R package.
+This is the final dataset, available for download from a [GitHub release](https://github.com/tidyverse/duckplyr/releases/tag/gh-analysis) in this repository, uploaded with the [piggyback](https://docs.ropensci.org/piggyback) R package.
 
 ```sql
 SELECT

tools/90-patch-dplyr.R

@@ -73,6 +73,6 @@ dplyr_test_files <- fs::dir_ls(".sync/dplyr-revdep/tests/testthat/", type = "fil
 walk(dplyr_test_files, patch_dplyr_test)
 
 gert::git_add(".", repo = ".sync/dplyr-revdep")
-message <- paste0("Sync with duckdblabs/duckplyr@", gert::git_log(max = 1)$commit)
+message <- paste0("Sync with tidyverse/duckplyr@", gert::git_log(max = 1)$commit)
 gert::git_commit(message, repo = ".sync/dplyr-revdep")
 gert::git_push(repo = ".sync/dplyr-revdep")