From 213992442ea86ebcd035c35949ab7a997aa15905 Mon Sep 17 00:00:00 2001 From: LTLA Date: Mon, 9 Sep 2024 16:25:16 -0700 Subject: [PATCH] Updated the link to the chihaya docs. --- R/options.R | 2 +- man/preserveDelayedOperations.Rd | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/R/options.R b/R/options.R index 081ce4f..16de7a3 100644 --- a/R/options.R +++ b/R/options.R @@ -14,7 +14,7 @@ staging.options$recycle.hdf5 <- FALSE #' @details #' By default, any DelayedArray in \code{\link{stageObject}} will be saved as a new dense array or sparse matrix. #' However, if this option is enabled, DelayedArrays will instead be saved in the \pkg{chihaya} specification, -#' where the delayed operations are themselves stored in the HDF5 file (see \url{https://ltla.github.io/chihaya} for details). +#' where the delayed operations are themselves stored in the HDF5 file (see \url{https://artifactdb.github.io/chihaya} for details). #' #' The \pkg{chihaya} specification is more complicated to parse but can be helpful in reducing disk usage. #' One simple example is to avoid sparsity-breaking or integer-to-float operations by storing their delayed representations in the file. diff --git a/man/preserveDelayedOperations.Rd b/man/preserveDelayedOperations.Rd index 08dfc7c..fdbaff5 100644 --- a/man/preserveDelayedOperations.Rd +++ b/man/preserveDelayedOperations.Rd @@ -19,7 +19,7 @@ Preserve delayed operations via \pkg{chihaya} when staging a \linkS4class{Delaye \details{ By default, any DelayedArray in \code{\link{stageObject}} will be saved as a new dense array or sparse matrix. However, if this option is enabled, DelayedArrays will instead be saved in the \pkg{chihaya} specification, -where the delayed operations are themselves stored in the HDF5 file (see \url{https://ltla.github.io/chihaya} for details). +where the delayed operations are themselves stored in the HDF5 file (see \url{https://artifactdb.github.io/chihaya} for details). The \pkg{chihaya} specification is more complicated to parse but can be helpful in reducing disk usage. One simple example is to avoid sparsity-breaking or integer-to-float operations by storing their delayed representations in the file.