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Merged
dfalbel merged 1 commit into from
Oct 21, 2026
Merged

Call utils and stats functions with their namespace #7

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1 change: 1 addition & 0 deletions cuda12.6/DESCRIPTION
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Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,7 @@ Description: Provides CUDA 12.6 native libraries (runtime, cuBLAS, cuDNN, cuFFT,
downloading pre-built binaries from PyPI at install time. Intended to be used
as a dependency by packages that require CUDA 12.6.
SystemRequirements: Linux or Windows; not supported on macOS.
Imports: stats, utils
License: MIT + file LICENSE
URL: https://github.com/mlverse/cudatoolkit
BugReports: https://github.com/mlverse/cudatoolkit/issues
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10 changes: 5 additions & 5 deletions cuda12.6/R/paths.R
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Original file line number Diff line number Diff line change
@@ -1,8 +1,8 @@
# Read component -> wheel_subdir mapping from installed components.tsv
.read_components <- function() {
tsv <- system.file("components.tsv", package = packageName(), mustWork = TRUE)
df <- read.delim(tsv, stringsAsFactors = FALSE)
setNames(df$wheel_subdir, df$component)
tsv <- system.file("components.tsv", package = utils::packageName(), mustWork = TRUE)
df <- utils::read.delim(tsv, stringsAsFactors = FALSE)
stats::setNames(df$wheel_subdir, df$component)
}

# Lazily cached component map
Expand All @@ -27,7 +27,7 @@
#' @export
cuda_path <- function(component) {
system.file(file.path("nvidia", .component_subdir(component)),
package = packageName(), mustWork = TRUE)
package = utils::packageName(), mustWork = TRUE)
}

#' Path to the shared library directory
Expand All @@ -37,7 +37,7 @@ cuda_path <- function(component) {
#' @return A character string with the path to the lib directory.
#' @export
lib_path <- function() {
system.file("lib", package = packageName(), mustWork = TRUE)
system.file("lib", package = utils::packageName(), mustWork = TRUE)
}

#' Path to a CUDA component's headers
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1 change: 1 addition & 0 deletions cuda12.8/DESCRIPTION
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Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,7 @@ Description: Provides CUDA 12.8 native libraries (runtime, cuBLAS, cuDNN, cuFFT,
downloading pre-built binaries from PyPI at install time. Intended to be used
as a dependency by packages that require CUDA 12.8.
SystemRequirements: Linux or Windows; not supported on macOS.
Imports: stats, utils
License: MIT + file LICENSE
URL: https://github.com/mlverse/cudatoolkit
BugReports: https://github.com/mlverse/cudatoolkit/issues
Expand Down
10 changes: 5 additions & 5 deletions cuda12.8/R/paths.R
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Original file line number Diff line number Diff line change
@@ -1,8 +1,8 @@
# Read component -> wheel_subdir mapping from installed components.tsv
.read_components <- function() {
tsv <- system.file("components.tsv", package = packageName(), mustWork = TRUE)
df <- read.delim(tsv, stringsAsFactors = FALSE)
setNames(df$wheel_subdir, df$component)
tsv <- system.file("components.tsv", package = utils::packageName(), mustWork = TRUE)
df <- utils::read.delim(tsv, stringsAsFactors = FALSE)
stats::setNames(df$wheel_subdir, df$component)
}

# Lazily cached component map
Expand All @@ -27,7 +27,7 @@
#' @export
cuda_path <- function(component) {
system.file(file.path("nvidia", .component_subdir(component)),
package = packageName(), mustWork = TRUE)
package = utils::packageName(), mustWork = TRUE)
}

#' Path to the shared library directory
Expand All @@ -37,7 +37,7 @@ cuda_path <- function(component) {
#' @return A character string with the path to the lib directory.
#' @export
lib_path <- function() {
system.file("lib", package = packageName(), mustWork = TRUE)
system.file("lib", package = utils::packageName(), mustWork = TRUE)
}

#' Path to a CUDA component's headers
Expand Down
1 change: 1 addition & 0 deletions cuda12.9/DESCRIPTION
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Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,7 @@ Description: Provides CUDA 12.9 native libraries (runtime, cuBLAS, cuDNN, cuFFT,
downloading pre-built binaries from PyPI at install time. Intended to be used
as a dependency by packages that require CUDA 12.9.
SystemRequirements: Linux or Windows; not supported on macOS.
Imports: stats, utils
License: MIT + file LICENSE
URL: https://github.com/mlverse/cudatoolkit
BugReports: https://github.com/mlverse/cudatoolkit/issues
Expand Down
10 changes: 5 additions & 5 deletions cuda12.9/R/paths.R
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Open in desktop
Original file line number Diff line number Diff line change
@@ -1,8 +1,8 @@
# Read component -> wheel_subdir mapping from installed components.tsv
.read_components <- function() {
tsv <- system.file("components.tsv", package = packageName(), mustWork = TRUE)
df <- read.delim(tsv, stringsAsFactors = FALSE)
setNames(df$wheel_subdir, df$component)
tsv <- system.file("components.tsv", package = utils::packageName(), mustWork = TRUE)
df <- utils::read.delim(tsv, stringsAsFactors = FALSE)
stats::setNames(df$wheel_subdir, df$component)
}

# Lazily cached component map
Expand All @@ -27,7 +27,7 @@
#' @export
cuda_path <- function(component) {
system.file(file.path("nvidia", .component_subdir(component)),
package = packageName(), mustWork = TRUE)
package = utils::packageName(), mustWork = TRUE)
}

#' Path to the shared library directory
Expand All @@ -37,7 +37,7 @@ cuda_path <- function(component) {
#' @return A character string with the path to the lib directory.
#' @export
lib_path <- function() {
system.file("lib", package = packageName(), mustWork = TRUE)
system.file("lib", package = utils::packageName(), mustWork = TRUE)
}

#' Path to a CUDA component's headers
Expand Down
1 change: 1 addition & 0 deletions cuda13.2/DESCRIPTION
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Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,7 @@ Description: Provides CUDA 13.2 native libraries (runtime, cuBLAS, cuDNN, cuFFT,
downloading pre-built binaries from PyPI at install time. Intended to be used
as a dependency by packages that require CUDA 13.2.
SystemRequirements: Linux or Windows; not supported on macOS.
Imports: stats, utils
License: MIT + file LICENSE
URL: https://github.com/mlverse/cudatoolkit
BugReports: https://github.com/mlverse/cudatoolkit/issues
Expand Down
10 changes: 5 additions & 5 deletions cuda13.2/R/paths.R
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,8 +1,8 @@
# Read component -> wheel_subdir mapping from installed components.tsv
.read_components <- function() {
tsv <- system.file("components.tsv", package = packageName(), mustWork = TRUE)
df <- read.delim(tsv, stringsAsFactors = FALSE)
setNames(df$wheel_subdir, df$component)
tsv <- system.file("components.tsv", package = utils::packageName(), mustWork = TRUE)
df <- utils::read.delim(tsv, stringsAsFactors = FALSE)
stats::setNames(df$wheel_subdir, df$component)
}

# Lazily cached component map
Expand All @@ -27,7 +27,7 @@
#' @export
cuda_path <- function(component) {
system.file(file.path("nvidia", .component_subdir(component)),
package = packageName(), mustWork = TRUE)
package = utils::packageName(), mustWork = TRUE)
}

#' Path to the shared library directory
Expand All @@ -37,7 +37,7 @@ cuda_path <- function(component) {
#' @return A character string with the path to the lib directory.
#' @export
lib_path <- function() {
system.file("lib", package = packageName(), mustWork = TRUE)
system.file("lib", package = utils::packageName(), mustWork = TRUE)
}

#' Path to a CUDA component's headers
Expand Down
1 change: 1 addition & 0 deletions shared/DESCRIPTION.template
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Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,7 @@ Description: Provides CUDA {{CUDA_MINOR}} native libraries (runtime, cuBLAS, cuD
downloading pre-built binaries from PyPI at install time. Intended to be used
as a dependency by packages that require CUDA {{CUDA_MINOR}}.
SystemRequirements: Linux or Windows; not supported on macOS.
Imports: stats, utils
License: MIT + file LICENSE
URL: https://github.com/mlverse/cudatoolkit
BugReports: https://github.com/mlverse/cudatoolkit/issues
Expand Down
10 changes: 5 additions & 5 deletions shared/R/paths.R
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,8 +1,8 @@
# Read component -> wheel_subdir mapping from installed components.tsv
.read_components <- function() {
tsv <- system.file("components.tsv", package = packageName(), mustWork = TRUE)
df <- read.delim(tsv, stringsAsFactors = FALSE)
setNames(df$wheel_subdir, df$component)
tsv <- system.file("components.tsv", package = utils::packageName(), mustWork = TRUE)
df <- utils::read.delim(tsv, stringsAsFactors = FALSE)
stats::setNames(df$wheel_subdir, df$component)
}

# Lazily cached component map
Expand All @@ -27,7 +27,7 @@
#' @export
cuda_path <- function(component) {
system.file(file.path("nvidia", .component_subdir(component)),
package = packageName(), mustWork = TRUE)
package = utils::packageName(), mustWork = TRUE)
}

#' Path to the shared library directory
Expand All @@ -37,7 +37,7 @@ cuda_path <- function(component) {
#' @return A character string with the path to the lib directory.
#' @export
lib_path <- function() {
system.file("lib", package = packageName(), mustWork = TRUE)
system.file("lib", package = utils::packageName(), mustWork = TRUE)
}

#' Path to a CUDA component's headers
Expand Down
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