From f198736c4897c5799056c3684918bcc02507d20b Mon Sep 17 00:00:00 2001 From: aho Date: Mon, 13 Jul 2020 22:42:19 +0200 Subject: [PATCH 01/60] Roxygen2 for Sort() --- R/Sort.R | 21 +++++++++++++++++++++ 1 file changed, 21 insertions(+) diff --git a/R/Sort.R b/R/Sort.R index 825272b..fc0e146 100644 --- a/R/Sort.R +++ b/R/Sort.R @@ -1,3 +1,22 @@ +#'Sort the coordinate variable values in a call to the function startR::Start +#' +#'The reorder function intended for use as parameter \code{_reorder} +#'in a call to the function \code{Start()}. This function complies with the input/output interface required by \code{Start()} defined in the documentation for the parameter \dots of that function. +#'The applied reordering consists of an increasing sort of the coordinate variable values. + +#'@param obs Vector of binary observations (1 or 0). +#'@param pred Vector of probablistic predictions with values in the range [0,1]. +#'@param thresholds Values used to bin the forecasts. By default the bins are +#' {[0,0.1), [0.1, 0.2), ... [0.9, 1]}. +#'@param exp Matrix of predictions with values in the range [0,1] for the +#' .BrierScore function +#' +#'@return Both BrierScore and .Brier score provide the same outputs: +#'@examples + + +#'@rdname Sort +#'@export Sort <- function(...) { params <- list(...) f <- "function(x) { @@ -14,6 +33,8 @@ Sort <- function(...) { r } +#'@rdname Sort +#'@export CircularSort <- function(start, end, ...) { params <- list(...) f <- "function (x) { -- GitLab From 5b221aab873a17c118f00f4e147e6b048cb196fc Mon Sep 17 00:00:00 2001 From: aho Date: Tue, 14 Jul 2020 17:20:18 +0200 Subject: [PATCH 02/60] Write Roxygen2 document for Sort.R --- NAMESPACE | 6 +++-- R/Sort.R | 51 ++++++++++++++++++++++++++++++--------- man/Sort.Rd | 69 +++++++++++++++++++++++++++++++++++++---------------- 3 files changed, 93 insertions(+), 33 deletions(-) diff --git a/NAMESPACE b/NAMESPACE index 1898794..3859378 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -1,2 +1,4 @@ -exportPattern("^[^\\.]") -import(stats, utils, abind, bigmemory, future, parallel) +# Generated by roxygen2: do not edit by hand + +export(CircularSort) +export(Sort) diff --git a/R/Sort.R b/R/Sort.R index fc0e146..d90c5c0 100644 --- a/R/Sort.R +++ b/R/Sort.R @@ -1,20 +1,49 @@ #'Sort the coordinate variable values in a call to the function startR::Start #' #'The reorder function intended for use as parameter \code{_reorder} -#'in a call to the function \code{Start()}. This function complies with the input/output interface required by \code{Start()} defined in the documentation for the parameter \dots of that function. -#'The applied reordering consists of an increasing sort of the coordinate variable values. +#'in a call to the function \code{Start()}. This function complies with the +#'input/output interface required by \code{Start()} defined in the documentation +#'for the parameter \dots of that function.\cr +#'The coordinate applied to \code{Sort()} consists of an increasing or decreasing +#'sort of the values. It is useful for adjusting the latitude order.\cr +#'The coordinate applied to \code{CircularSort()} consists of a circular sort of +#'values, where any values beyond the limits specified in the parameters +#'\code{start} and \code{end} is applied a modulus to fall in the specified +#'range. This is useful for circular coordinates such as the Earth longitudes. -#'@param obs Vector of binary observations (1 or 0). -#'@param pred Vector of probablistic predictions with values in the range [0,1]. -#'@param thresholds Values used to bin the forecasts. By default the bins are -#' {[0,0.1), [0.1, 0.2), ... [0.9, 1]}. -#'@param exp Matrix of predictions with values in the range [0,1] for the -#' .BrierScore function +#'@param start A numeric indicating the lower bound of the circular range. +#'@param end A numeric indicating the upper bound of the circular range. +#'@param {\dots} Additional parameters to adjust the reorderig (sent internally +#' to the function \code{sort()}). #' -#'@return Both BrierScore and .Brier score provide the same outputs: +#'@return +#'A list of 2 containing: +#'\item{$x}{ +#' The reordered values. +#'} +#'\item{$ix}{ +#' The permutation indices of $x in the original coordinate. +#'} #'@examples - - +#' # Used in Start(): +#' path <- paste0('/esarchive/exp/ecmwf/system5_m1/daily_mean/', +#' '$var$_f6h/$var$_$sdate$.nc') +#' res <- Start(dat = path, +#' var = 'psl', +#' ensemble = 'first', +#' sdate = '19821201', +#' time = indices(1), +#' latitude = values(list(-10, 10)), +#' latitude_reorder = Sort(decreasing = TRUE), +#' longitude = values(list(-10, 10)), +#' longitude_reorder = CircularSort(-180, 180), +#' synonims = list(latitude=c('lat','latitude'), +#' longitude=c('lon','longitude')), +#' return_vars = list(latitude = 'dat', +#' longitude = 'dat', +#' time = NULL), +#' retrieve = F) +#' #'@rdname Sort #'@export Sort <- function(...) { diff --git a/man/Sort.Rd b/man/Sort.Rd index c32a6e2..249d1ee 100644 --- a/man/Sort.Rd +++ b/man/Sort.Rd @@ -1,33 +1,62 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/Sort.R \name{Sort} +\alias{CircularSort} \alias{Sort} -\title{Sort Dimension Reorder for 'startR'} -\description{ -This is a reorder function intended for use as parameter \code{_reorder} in a call to the function \code{Start()} in the package 'startR'. This function complies with the input/output interface required by \code{Start()} defined in the documentation for the parameter \dots of that function. -\cr\cr -The applied reordering consists of an increasing sort of the coordinate variable values. -} +\title{Sort the coordinate variable values in a call to the function startR::Start} \usage{ Sort(...) + +CircularSort(start, end, ...) } \arguments{ - \item{\dots}{ -Additional parameters to adjust the reorderig (sent internally to the function \code{sort()}). - } +\item{start}{A numeric indicating the lower bound of the circular range.} + +\item{end}{A numeric indicating the upper bound of the circular range.} + +\item{{\dots}}{Additional parameters to adjust the reorderig (sent internally +to the function \code{sort()}).} } \value{ -List with the reordered values in the component \code{$x} and the permutation indices in the component \code{$ix}. See details in the documentation of the parameter \dots of the function \code{Start()}. +A list of 2 containing: +\item{$x}{ + The reordered values. } -\author{ -History:\cr -0.0 - 2017-04 (N. Manubens, \email{nicolau.manubens at bsc.es}) - Original code +\item{$ix}{ + The permutation indices of $x in the original coordinate. } -\seealso{ -\code{\link[startR]{CircularSort}} +} +\description{ +The reorder function intended for use as parameter \code{_reorder} +in a call to the function \code{Start()}. This function complies with the +input/output interface required by \code{Start()} defined in the documentation +for the parameter \dots of that function.\cr +The coordinate applied to \code{Sort()} consists of an increasing or decreasing +sort of the values. It is useful for adjusting the latitude order.\cr +The coordinate applied to \code{CircularSort()} consists of a circular sort of +values, where any values beyond the limits specified in the parameters +\code{start} and \code{end} is applied a modulus to fall in the specified +range. This is useful for circular coordinates such as the Earth longitudes. } \examples{ -## Check https://earth.bsc.es/gitlab/es/startR for step-by-step examples -## of Start() that use Sort(). +# Used in Start(): +path <- paste0('/esarchive/exp/ecmwf/system5_m1/daily_mean/', + '$var$_f6h/$var$_$sdate$.nc') +res <- Start(dat = path, + var = 'psl', + ensemble = 'first', + sdate = '19821201', + time = indices(1), + latitude = values(list(-10, 10)), + latitude_reorder = Sort(decreasing = TRUE), + longitude = values(list(-10, 10)), + longitude_reorder = CircularSort(-180, 180), + synonims = list(latitude=c('lat','latitude'), + longitude=c('lon','longitude')), + return_vars = list(latitude = 'dat', + longitude = 'dat', + time = NULL), + retrieve = F) + } -\keyword{IO} -\keyword{array} -\keyword{manip} + -- GitLab From 3a70ae23fedf4a6de1df70071ee44ae79b36a10a Mon Sep 17 00:00:00 2001 From: aho Date: Thu, 16 Jul 2020 11:12:45 +0200 Subject: [PATCH 03/60] Roxygen2 for Step.R --- NAMESPACE | 1 + R/Step.R | 56 ++++++++++++++++++++++++++++++++++++++++ man/Step.Rd | 73 +++++++++++++++++++++++++++++++++++++++++++++++++++++ 3 files changed, 130 insertions(+) create mode 100644 man/Step.Rd diff --git a/NAMESPACE b/NAMESPACE index 3859378..07ed7af 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -2,3 +2,4 @@ export(CircularSort) export(Sort) +export(Step) diff --git a/R/Step.R b/R/Step.R index 32c9273..2d453fe 100644 --- a/R/Step.R +++ b/R/Step.R @@ -1,3 +1,59 @@ +#'Define the operation applied on declared data. +#' +#'The step of the startR workflow after declaring data by Start() call. It +#'identifies the operation (i.e., function) and the target and output +#'dimensions of data array for the function. Ideally, it expects the dimension +#'name to be in the same order as the one requested in the Start() call. +#'If a different order is specified, startR will reorder the subset dimension +#'to the expected order for this function./cr +#' +#'@param fun A function in R format defining the operation to be applied to the +#' data declared by a Start() call. It should only work on the essential +#' dimensions rather than all the data dimensions. Since the function will be +#' called numerous times through all the non-essential dimensions, it is +#' recommended to keep them as light as possible. +#'@param target_dims A vector for single input array or a list of vectors for +#' multiple input arrays indicating the names of the dimensions 'fun' to be +#' applied along. +#'@param output_dims A vector for single returned array or a list of vectors +#' for multiple returned arrays indicating the dimension names of the function +#' output. +#'@param use_libraries A vector of character string indicating the R library +#' names to be used in 'fun'. The default value is NULL. +#'@param use_attributes One or more lists of vectors of character string +#' indicating the data attributes to be used in 'fun'. The list name should be +#' consistent with the list name of 'data' in AddStep(). The default value is +#' NULL. +#'@return A closure that contains all the objects assigned. It serves as the +#' input of Addstep(). +#'@examples +#' +#' repos <- '/esarchive/exp/ecmwf/system5_m1/monthly_mean/$var$_f6h/$var$_$sdate$.nc' +#' data <- Start(dat = repos, +#' var = 'tas', +#' sdate = c('20170101', '20180101'), +#' ensemble = indices(1:20), +#' time = 'all', +#' latitude = 'all', +#' longitude = indices(1:40), +#' return_vars = list(latitude = 'dat', longitude = 'dat', time = 'sdate'), +#' retrieve = FALSE) +#' fun <- function(x) { +#' lat = attributes(x)$Variables$dat1$latitude +#' weight = sqrt(cos(lat * pi / 180)) +#' corrected = Apply(list(x), target_dims = "latitude", +#' fun = function(x) {x * weight}) +#' } +#' +#' +#' step <- Step(fun = fun, +#' target_dims = 'latitude', +#' output_dims = 'latitude', +#' use_libraries = c('multiApply'), +#' use_attributes = list(data = "Variables")) +#' wf <- AddStep(data, step) +#' +#'@export Step <- function(fun, target_dims, output_dims, use_libraries = NULL, use_attributes = NULL) { # Check fun diff --git a/man/Step.Rd b/man/Step.Rd new file mode 100644 index 0000000..b099cef --- /dev/null +++ b/man/Step.Rd @@ -0,0 +1,73 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/Step.R +\name{Step} +\alias{Step} +\title{Define the operation applied on declared data.} +\usage{ +Step(fun, target_dims, output_dims, use_libraries = NULL, + use_attributes = NULL) +} +\arguments{ +\item{fun}{A function in R format defining the operation to be applied to the +data declared by a Start() call. It should only work on the essential +dimensions rather than all the data dimensions. Since the function will be +called numerous times through all the non-essential dimensions, it is +recommended to keep them as light as possible.} + +\item{target_dims}{A vector for single input array or a list of vectors for +multiple input arrays indicating the names of the dimensions 'fun' to be +applied along.} + +\item{output_dims}{A vector for single returned array or a list of vectors +for multiple returned arrays indicating the dimension names of the function +output.} + +\item{use_libraries}{A vector of character string indicating the R library +names to be used in 'fun'. The default value is NULL.} + +\item{use_attributes}{One or more lists of vectors of character string +indicating the data attributes to be used in 'fun'. The list name should be +consistent with the list name of 'data' in AddStep(). The default value is +NULL.} +} +\value{ +A closure that contains all the objects assigned. It serves as the + input of Addstep(). +} +\description{ +The step of the startR workflow after declaring data by Start() call. It +identifies the operation (i.e., function) and the target and output +dimensions of data array for the function. Ideally, it expects the dimension +name to be in the same order as the one requested in the Start() call. +If a different order is specified, startR will reorder the subset dimension +to the expected order for this function./cr +} +\examples{ + + repos <- '/esarchive/exp/ecmwf/system5_m1/monthly_mean/$var$_f6h/$var$_$sdate$.nc' + data <- Start(dat = repos, + var = 'tas', + sdate = c('20170101', '20180101'), + ensemble = indices(1:20), + time = 'all', + latitude = 'all', + longitude = indices(1:40), + return_vars = list(latitude = 'dat', longitude = 'dat', time = 'sdate'), + retrieve = FALSE) + fun <- function(x) { + lat = attributes(x)$Variables$dat1$latitude + weight = sqrt(cos(lat * pi / 180)) + corrected = Apply(list(x), target_dims = "latitude", + fun = function(x) {x * weight}) + } + + + step <- Step(fun = fun, + target_dims = 'latitude', + output_dims = 'latitude', + use_libraries = c('multiApply'), + use_attributes = list(data = "Variables")) + wf <- AddStep(data, step) + +} + 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Thu, 16 Jul 2020 12:57:33 +0200 Subject: [PATCH 05/60] Change the examples to use sample_data --- R/Sort.R | 32 +++++++++++++++----------------- R/Step.R | 18 ++++++++++-------- man/Sort.Rd | 32 +++++++++++++++----------------- man/Step.Rd | 18 ++++++++++-------- 4 files changed, 50 insertions(+), 50 deletions(-) diff --git a/R/Sort.R b/R/Sort.R index d90c5c0..9445f48 100644 --- a/R/Sort.R +++ b/R/Sort.R @@ -26,23 +26,21 @@ #'} #'@examples #' # Used in Start(): -#' path <- paste0('/esarchive/exp/ecmwf/system5_m1/daily_mean/', -#' '$var$_f6h/$var$_$sdate$.nc') -#' res <- Start(dat = path, -#' var = 'psl', -#' ensemble = 'first', -#' sdate = '19821201', -#' time = indices(1), -#' latitude = values(list(-10, 10)), -#' latitude_reorder = Sort(decreasing = TRUE), -#' longitude = values(list(-10, 10)), -#' longitude_reorder = CircularSort(-180, 180), -#' synonims = list(latitude=c('lat','latitude'), -#' longitude=c('lon','longitude')), -#' return_vars = list(latitude = 'dat', -#' longitude = 'dat', -#' time = NULL), -#' retrieve = F) +#' data_path <- system.file('sample_data', package = 'startR') +#' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') +#' sdates <- c('200011', '200012') +#' data <- Start(dat = path_obs, +#' var = 'tos', +#' sdate = sdates, +#' time = 'all', +#' latitude = values(list(-60, 60)), +#' latitude_reorder = Sort(decreasing = TRUE), +#' longitude = values(list(-120, 120)), +#' longitude_reorder = CircularSort(-180, 180), +#' return_vars = list(latitude = 'dat', +#' longitude = 'dat', +#' time = 'sdate'), +#' retrieve = FALSE) #' #'@rdname Sort #'@export diff --git a/R/Step.R b/R/Step.R index 2d453fe..ff141cc 100644 --- a/R/Step.R +++ b/R/Step.R @@ -27,16 +27,18 @@ #'@return A closure that contains all the objects assigned. It serves as the #' input of Addstep(). #'@examples -#' -#' repos <- '/esarchive/exp/ecmwf/system5_m1/monthly_mean/$var$_f6h/$var$_$sdate$.nc' -#' data <- Start(dat = repos, -#' var = 'tas', -#' sdate = c('20170101', '20180101'), -#' ensemble = indices(1:20), +#' data_path <- system.file('sample_data', package = 'startR') +#' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') +#' sdates <- c('200011', '200012') +#' data <- Start(dat = path_obs, +#' var = 'tos', +#' sdate = sdates, #' time = 'all', #' latitude = 'all', -#' longitude = indices(1:40), -#' return_vars = list(latitude = 'dat', longitude = 'dat', time = 'sdate'), +#' longitude = 'all', +#' return_vars = list(latitude = 'dat', +#' longitude = 'dat', +#' time = 'sdate'), #' retrieve = FALSE) #' fun <- function(x) { #' lat = attributes(x)$Variables$dat1$latitude diff --git a/man/Sort.Rd b/man/Sort.Rd index 249d1ee..ea4d893 100644 --- a/man/Sort.Rd +++ b/man/Sort.Rd @@ -40,23 +40,21 @@ range. This is useful for circular coordinates such as the Earth longitudes. } \examples{ # Used in Start(): -path <- paste0('/esarchive/exp/ecmwf/system5_m1/daily_mean/', - '$var$_f6h/$var$_$sdate$.nc') -res <- Start(dat = path, - var = 'psl', - ensemble = 'first', - sdate = '19821201', - time = indices(1), - latitude = values(list(-10, 10)), - latitude_reorder = Sort(decreasing = TRUE), - longitude = values(list(-10, 10)), - longitude_reorder = CircularSort(-180, 180), - synonims = list(latitude=c('lat','latitude'), - longitude=c('lon','longitude')), - return_vars = list(latitude = 'dat', - longitude = 'dat', - time = NULL), - retrieve = F) + data_path <- system.file('sample_data', package = 'startR') + path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') + sdates <- c('200011', '200012') + data <- Start(dat = path_obs, + var = 'tos', + sdate = sdates, + time = 'all', + latitude = values(list(-60, 60)), + latitude_reorder = Sort(decreasing = TRUE), + longitude = values(list(-120, 120)), + longitude_reorder = CircularSort(-180, 180), + return_vars = list(latitude = 'dat', + longitude = 'dat', + time = 'sdate'), + retrieve = FALSE) } diff --git a/man/Step.Rd b/man/Step.Rd index b099cef..139e368 100644 --- a/man/Step.Rd +++ b/man/Step.Rd @@ -43,16 +43,18 @@ If a different order is specified, startR will reorder the subset dimension to the expected order for this function./cr } \examples{ - - repos <- '/esarchive/exp/ecmwf/system5_m1/monthly_mean/$var$_f6h/$var$_$sdate$.nc' - data <- Start(dat = repos, - var = 'tas', - sdate = c('20170101', '20180101'), - ensemble = indices(1:20), + data_path <- system.file('sample_data', package = 'startR') + path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') + sdates <- c('200011', '200012') + data <- Start(dat = path_obs, + var = 'tos', + sdate = sdates, time = 'all', latitude = 'all', - longitude = indices(1:40), - return_vars = list(latitude = 'dat', longitude = 'dat', time = 'sdate'), + longitude = 'all', + return_vars = list(latitude = 'dat', + longitude = 'dat', + time = 'sdate'), retrieve = FALSE) fun <- function(x) { lat = attributes(x)$Variables$dat1$latitude -- GitLab From 4915ab5fa10a02c76cc8a9055ff457f14730d034 Mon Sep 17 00:00:00 2001 From: aho Date: Thu, 16 Jul 2020 15:08:10 +0200 Subject: [PATCH 06/60] Modify NAMESPACE manually to export all the function during the Roxygen2 transition. --- NAMESPACE | 3 +++ 1 file changed, 3 insertions(+) diff --git a/NAMESPACE b/NAMESPACE index 07ed7af..d5c33e0 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -3,3 +3,6 @@ export(CircularSort) export(Sort) export(Step) +exportPattern("^[^\\.]") +import(stats, utils, abind, bigmemory, future, parallel) + -- GitLab From 341bef3d292c47db021d5902cdbaca553c258e6b Mon Sep 17 00:00:00 2001 From: aho Date: Tue, 21 Jul 2020 12:44:46 +0200 Subject: [PATCH 07/60] Add Roxygen2 headers. --- R/AddStep.R | 44 +++++++++++++++++++++++++++++++++++++++++++ R/NcCloser.R | 21 +++++++++++++++++++++ R/NcDataReader.R | 49 +++++++++++++++++++++++++++++++++++++++++++++--- R/NcDimReader.R | 47 ++++++++++++++++++++++++++++++++++++++++++---- R/NcOpener.R | 23 +++++++++++++++++++++++ R/NcVarReader.R | 41 ++++++++++++++++++++++++++++++++++++++++ 6 files changed, 218 insertions(+), 7 deletions(-) diff --git a/R/AddStep.R b/R/AddStep.R index 3ca5a35..c9b6520 100644 --- a/R/AddStep.R +++ b/R/AddStep.R @@ -1,3 +1,47 @@ +#'Create the workflow with the previous defined operation and data. +#' +#'The step that combines the previous declared data and operation together to +#'create the complete workflow. It is the final step before data processing. +#' +#'@param inputs One or a list of objects of the class 'startR_cube' returned by +#' Start(), indicating the data to be processed. +#'@param step_fun A startR step function as returned by Step(). +#'@param {\dots} Additional parameters for the inputs of function defined in +#' 'step_fun' by Step(). +#' +#'@return A list of the class 'startR_workflow' containing all the objects +#' needed for the data operation. +#'@examples +#' data_path <- system.file('sample_data', package = 'startR') +#' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') +#' sdates <- c('200011', '200012') +#' data <- Start(dat = path_obs, +#' var = 'tos', +#' sdate = sdates, +#' time = 'all', +#' latitude = 'all', +#' longitude = 'all', +#' return_vars = list(latitude = 'dat', +#' longitude = 'dat', +#' time = 'sdate'), +#' retrieve = FALSE) +#' pi_short <- 3.14 +#' fun <- function(x, pi_val) { +#' lat = attributes(x)$Variables$dat1$latitude +#' weight = sqrt(cos(lat * pi_val / 180)) +#' corrected = Apply(list(x), target_dims = "latitude", +#' fun = function(x) {x * weight}) +#' } +#' +#' +#' step <- Step(fun = fun, +#' target_dims = 'latitude', +#' output_dims = 'latitude', +#' use_libraries = c('multiApply'), +#' use_attributes = list(data = "Variables")) +#' wf <- AddStep(data, step, pi_val = pi_short) +#' +#'@export AddStep <- function(inputs, step_fun, ...) { # Check step_fun if (!('startR_step_fun' %in% class(step_fun))) { diff --git a/R/NcCloser.R b/R/NcCloser.R index bb5e892..f7decab 100644 --- a/R/NcCloser.R +++ b/R/NcCloser.R @@ -1,3 +1,24 @@ +#'NetCDF file closer for 'startR' +#' +#'This is a file closer function for NetCDF files, intended for use as +#'parameter file_closer in a Start() call. This function complies with the +#'input/output interface required by Start() defined in the documentation for +#'the parameter 'file_closer'.\cr +#'This function uses the function NcClose() in the package 'easyNCDF', which in +#'turn uses nc_close() in the package 'ncdf4'. +#' +#'@param file_object An open connection to a NetCDF file, optionally with +#' additional header information. See details in the documentation of the +#' parameter 'file_closer' of the function Start(). +#'@return This function returns NULL. +#'@examples +#'data_path <- system.file('sample_data', package = 'startR') +#'path_obs <- file.path(data_path, 'obs/monthly_mean/tos/tos_200011.nc') +#'connection <- NcOpener(path_obs) +#'NcCloser(connection) +#' +#'@import easyNCDF +#'@export NcCloser <- function(file_object) { easyNCDF::NcClose(file_object) } diff --git a/R/NcDataReader.R b/R/NcDataReader.R index cba05fa..47e3579 100644 --- a/R/NcDataReader.R +++ b/R/NcDataReader.R @@ -1,6 +1,49 @@ -# Parameter 'file_selectos' expects a named character vector of single -# file dimension selectors. -# Parameter 'inner_indices' expects a named list of numeric vectors. +#'NetCDF file data reader for 'startR' +#' +#'This is a data reader function for NetCDF files, intended for use as parameter +#'file_data_reader in a Start() call. This function complies with the +#'input/output interface required by Start() defined in the documentation for +#'the parameter 'file_data_reader'.\cr +#'This function uses the function NcToArray() in the package 'easyNCDF', which +#'in turn uses nc_var_get() in the package 'ncdf4'. +#' +#'@param file_path A character string indicating the path to the data file to +#' read. See details in the documentation of the parameter 'file_data_reader' +#' of the function Start(). The default value is NULL. +#'@param file_object An open connection to a NetCDF file, optionally with +#' additional header information. See details in the documentation of the +#' parameter 'file_data_reader' of the function Start(). The default value is +#' NULL. +#'@param file_selectors A named list containing the information of the path of +#' the file to read data from. It is automatically provided by Start(). See +#' details in the documentation of the parameter 'file_data_reader' of the +#' function Start(). The default value is NULL. +#'@param inner_indices A named list of numeric vectors indicating the indices +#' to take from each of the inner dimensions in the requested file. It is +#' automatically provided by Start(). See details in the documentation of the +#' parameter 'file_data_reader' of the function Start(). The default value is +#' NULL. +#'@param synonims A named list indicating the synonims for the dimension names +#' to look for in the requested file, exactly as provided in the parameter +#' 'synonims' in a Start() call. See details in the documentation of the +#' parameter 'file_data_reader' of the function Start(). +#' +#'@return A multidimensional data array with the named dimensions and indices +#' requested in inner_indices, potentially with the attribute ’variables’ with +#' additional auxiliary data. See details in the documentation of the parameter +#' 'file_data_reader' of the function Start(). +#'@examples +#' data_path <- system.file('sample_data', package = 'startR') +#' file_to_open <- file.path(data_path, 'obs/monthly_mean/tos/tos_200011.nc') +#' file_selectors <- c(dat = 'dat1', var = 'tos', sdate = '200011') +#' first_round_indices <- list(time = 1, latitude = 1:8, longitude = 1:16) +#' synonims <- list(dat = 'dat', var = 'var', sdate = 'sdate', time = 'time', +#' latitude = 'latitude', longitude = 'longitude') +#' sub_array <- NcDataReader(file_to_open, NULL, file_selectors, +#' first_round_indices, synonims) +#' +#'@import easyNCDF +#'@export NcDataReader <- function(file_path = NULL, file_object = NULL, file_selectors = NULL, inner_indices = NULL, synonims) { diff --git a/R/NcDimReader.R b/R/NcDimReader.R index e93de95..4e0874b 100644 --- a/R/NcDimReader.R +++ b/R/NcDimReader.R @@ -1,7 +1,46 @@ -# Parameter 'file_selectors' expects a named character vector of single -# file dimension selectors. -# Parameter 'inner_indices' expects a named list of numeric or -# character string vectors. +#'NetCDF dimension reader for 'startR' +#' +#'A dimension reader function for NetCDF files, intended for use as parameter +#''file_dim_reader' in a Start() call. It complies with the input/output +#'interface required by Start() defined in the documentation for the parameter +#''file_dim_reader' of that function./cr +#'This function uses the function NcReadDims() in the package 'easyNCDF'. +#' +#'@param file_path A character string indicating the path to the data file to +#' read. See details in the documentation of the parameter 'file_dim_reader' +#' of the function Start(). The default value is NULL. +#'@param file_object An open connection to a NetCDF file, optionally with +#' additional header information. See details in the documentation of the +#' parameter 'file_dim_reader' of the function Start(). The default value is +#' NULL. +#'@param file_selectors A named list containing the information of the path of +#' the file to read data from. It is automatically provided by Start(). See +#' details in the documentation of the parameter 'file_dim_reader' of the +#' function Start(). The default value is NULL. +#'@param inner_indices A named list of numeric vectors indicating the indices +#' to take from each of the inner dimensions in the requested file. It is +#' automatically provided by Start(). See details in the documentation of the +#' parameter 'file_dim_reader' of the function Start(). The default value is +#' NULL. +#'@param synonims A named list indicating the synonims for the dimension names +#' to look for in the requested file, exactly as provided in the parameter +#' 'synonims' in a Start() call. See details in the documentation of the +#' parameter 'file_dim_reader' of the function Start(). +#' +#'@return A named numeric vector with the names and sizes of the dimensions of +#' the requested file. +#'@examples +#' data_path <- system.file('sample_data', package = 'startR') +#' file_to_open <- file.path(data_path, 'obs/monthly_mean/tos/tos_200011.nc') +#' file_selectors <- c(dat = 'dat1', var = 'tos', sdate = '200011') +#' first_round_indices <- list(time = 1, latitude = 1:8, longitude = 1:16) +#' synonims <- list(dat = 'dat', var = 'var', sdate = 'sdate', time = 'time', +#' latitude = 'latitude', longitude = 'longitude') +#' dim_of_file <- NcDimReader(file_to_open, NULL, file_selectors, +#' first_round_indices, synonims) +#' +#'@import easyNCDF +#'@export NcDimReader <- function(file_path = NULL, file_object = NULL, file_selectors = NULL, inner_indices = NULL, synonims) { diff --git a/R/NcOpener.R b/R/NcOpener.R index ca6e9ed..ec44ac0 100644 --- a/R/NcOpener.R +++ b/R/NcOpener.R @@ -1,3 +1,26 @@ +#'NetCDF file opener for 'startR' +#' +#'This is a file opener function for NetCDF files, intended for use as parameter +#'file_opener in a Start() call. This function complies with the input/output +#'interface required by Start() defined in the documentation for the parameter +#''file_opener'.\cr +#'This function uses the function NcOpen() in the package 'easyNCDF', which in +#'turn uses nc_open() in the package 'ncdf4'. +#' +#'@param file_path A character string indicating the path to the data file to +#' read. See details in the documentation of the parameter 'file_opener' of the +#' function Start(). +#'@return An open connection to a NetCDF file with additional header +#' information as returned by nc_open() in the package 'ncdf4'. See details in +#' the documentation of the parameter 'file_opener' of the function Start(). +#'@examples +#'data_path <- system.file('sample_data', package = 'startR') +#'path_obs <- file.path(data_path, 'obs/monthly_mean/tos/tos_200011.nc') +#'connection <- NcOpener(path_obs) +#'NcCloser(connection) +#' +#'@import easyNCDF +#'@export NcOpener <- function(file_path) { easyNCDF::NcOpen(file_path) } diff --git a/R/NcVarReader.R b/R/NcVarReader.R index c794244..3aa5bf9 100644 --- a/R/NcVarReader.R +++ b/R/NcVarReader.R @@ -1,3 +1,44 @@ +#'NetCDF variable reader for 'startR' +#' +#'This is an auxiliary variable reader function for NetCDF files, intended for +#'use as parameter 'file_var_reader' in a Start() call. It complies with the +#'input/output interface required by Start() defined in the documentation for +#'the parameter 'file_var_reader' of that function.\cr +#'This function uses the function NcDataReader() in the package 'startR', +#'which in turn uses NcToArray() in the package 'easyNCDF', which in turn uses +#'nc_var_get() in the package 'ncdf4'. +#' +#'@param file_path A character string indicating the path to the data file to +#' read the variable from. See details in the documentation of the parameter +#' 'file_var_reader' of the function Start(). The default value is NULL. +#'@param file_object An open connection to a NetCDF file, optionally with +#' additional header information. See details in the documentation of the +#' parameter 'file_var_reader' of the function Start(). The default value is +#' NULL. +#'@param file_selectors A named list containing the information of the path of +#' the file to read data from. It is automatically provided by Start(). See +#' details in the documentation of the parameter 'file_var_reader' of the +#' function Start(). The default value is NULL. +#'@param var_name A character string with the name of the variable to be read. +#' The default value is NULL. +#'@param synonims A named list indicating the synonims for the dimension names +#' to look for in the requested file, exactly as provided in the parameter +#' 'synonims' in a Start() call. See details in the documentation of the +#' parameter 'file_var_reader' of the function Start(). +#' +#'@return A multidimensional data array with the named dimensions, potentially +#' with the attribute 'variables' with additional auxiliary data. See details +#' in the documentation of the parameter 'file_var_reader' of the function +#' Start(). +#'@examples +#' data_path <- system.file('sample_data', package = 'startR') +#' file_to_open <- file.path(data_path, 'obs/monthly_mean/tos/tos_200011.nc') +#' file_selectors <- c(dat = 'dat1', var = 'tos', sdate = '200011') +#' synonims <- list(dat = 'dat', var = 'var', sdate = 'sdate', time = 'time', +#' latitude = 'latitude', longitude = 'longitude') +#' var <- NcDataReader(file_to_open, NULL, file_selectors, +#' 'tos', synonims) +#'@export NcVarReader <- function(file_path = NULL, file_object = NULL, file_selectors = NULL, var_name = NULL, synonims) { -- GitLab From 615ef324a31649caece3f15da0edabfef29ef083 Mon Sep 17 00:00:00 2001 From: aho Date: Mon, 27 Jul 2020 15:12:34 +0200 Subject: [PATCH 08/60] Add Roxygen2 headers. --- R/CDORemapper.R | 47 +++++++++++++++++++++++++++++++++++++++++++++ R/SelectorChecker.R | 37 +++++++++++++++++++++++++++++++++++ 2 files changed, 84 insertions(+) diff --git a/R/CDORemapper.R b/R/CDORemapper.R index b109f54..8ea676d 100644 --- a/R/CDORemapper.R +++ b/R/CDORemapper.R @@ -1,3 +1,50 @@ +#'CDO Remap Data Transformation for 'startR' +#' +#'This is a transform function that uses CDO software to remap longitude-latitude +#'data subsets onto a specified target grid, intended for use as parameter +#''transform' in a Start() call. This function complies with the input/output +#'interface required by Start() defined in the documentation for the parameter +#''transform' of function Start().\cr +#'This function uses the function CDORemap() in the package 's2dverification' to +#'perform the interpolation, hence CDO is required to be installed. +#' +#'@param data_array A data array to be transformed. See details in the +#' documentation of the parameter 'transform' of the function Start(). +#'@param variables A list of auxiliary variables required for the transformation, +#' automatically provided by Start(). See details in the documentation of the +#' parameter 'transform' of the function Start(). +#'@param file_selectors A charcter vector indicating the information of the path of +#' the file parameter 'data_array' comes from. See details in the documentation of +#' the parameter 'transform' of the function Start(). +#'@param {\dots} A list of additional parameters to adjust the transform process, +#' as provided in the parameter 'transform_params' in a Start() call. See details +#' in the documentation of the parameter 'transform' of the function Start(). +#' +#'@examples +#'# Used in Start(): +#' data_path <- system.file('sample_data', package = 'startR') +#' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') +#' sdates <- c('200011') +#' data <- Start(dat = path_obs, +#' var = 'tos', +#' sdate = sdates, +#' time = 'all', +#' latitude = values(list(-60, 60)), +#' latitude_reorder = Sort(decreasing = TRUE), +#' longitude = values(list(-120, 120)), +#' longitude_reorder = CircularSort(-180, 180), +#' transform = CDORemapper, +#' transform_params = list(grid = 'r360x181', +#' method = 'conservative', +#' crop = c(-120, 120, -60, 60)), +#' transform_vars = c('latitude', 'longitude'), +#' return_vars = list(latitude = 'dat', +#' longitude = 'dat', +#' time = 'sdate'), +#' retrieve = FALSE) +#' +#'@importFrom s2dverification CDORemap +#'@export CDORemapper <- function(data_array, variables, file_selectors = NULL, ...) { file_dims <- names(file_selectors) known_lon_names <- s2dverification:::.KnownLonNames() diff --git a/R/SelectorChecker.R b/R/SelectorChecker.R index 8765da2..16f0150 100644 --- a/R/SelectorChecker.R +++ b/R/SelectorChecker.R @@ -1,3 +1,40 @@ +#'Translate a set of selectors into a set of numeric indices +#' +#'This is a selector checker function intended for use as parameter +#''selector_checker' in a Start() call. It translates a set of selectors which is +#'the value for one dimension into a set of numeric indices corresponding to the +#'coordinate variable. The function complies with the input/output interface +#'required by Start() defined in the documentation for the parameter +#''selector_checker' of Start(). +#' +#'@param selectors A vector or a list of two of numeric indices or variable +#' values to be retrieved for a dimension, automatically provided by Start(). +#' See details in the documentation of the parameters 'selector_checker' and +#' {\dots} of the function Start(). +#'@param var A vector of values of a coordinate variable for which to search +#' matches with the provided indices or values in the parameter 'selectors', +#' automatically provided by Start(). See details in the documentation of the +#' parameters 'selector_checker' and {\dots} of the function Start(). The +#' default value is NULL. When not specified, SelectorChecker() simply returns +#' the input indices. +#'@param return_indices A boolean flag, automatically configured by Start(), +#' telling whether to return the numeric indices or coordinate variable values +#' after the matching. +#'@param tolerance A numeric value indicating a tolerance value to be used in +#' the matching of 'selectors' and 'var'. See documentation on +#' _tolerance in {\dots} in the documentation of the function Start(). +#' +#'@return A vector of either the indices of the matching values (if +#' return_indices = TRUE) or the matching values themselves (if return_indices +#' = FALSE). +#'@examples +#'# Get the latitudes from 10 to 20 degree +#'sub_array_of_selectors <- list(10, 20) +#'# The latitude values from original file +#'sub_array_of_values <- seq(90, -90, length.out = 258)[2:257] +#'SelectorChecker(sub_array_of_selectors, sub_array_of_values) +#' +#'@export SelectorChecker <- function(selectors, var = NULL, return_indices = TRUE, tolerance = NULL) { if (length(selectors) == 0) { -- GitLab From ead82babc3b941ad1eacb37825cc5276b4aefd48 Mon Sep 17 00:00:00 2001 From: aho Date: Mon, 27 Jul 2020 17:50:52 +0200 Subject: [PATCH 09/60] Add Roxygen2 header --- R/Compute.R | 84 +++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 84 insertions(+) diff --git a/R/Compute.R b/R/Compute.R index 570b16d..d248ad3 100644 --- a/R/Compute.R +++ b/R/Compute.R @@ -1,3 +1,87 @@ +#'Specify the execution parameters and trigger the execution +#' +#'The step of the startR workflow after the complete workflow is defined by +#'AddStep(). This function specifies the execution parameters and triggers the +#'execution. The execution can be operated locally or on a remote machine. If +#'it is the latter case, the configuration of the machine needs to be +#'sepecified in the function, and the EC-Flow server is required to be +#'installed.\cr +#'The execution can be operated by chunks to avoid overloading the RAM memory. +#'After all the chunks are finished, Compute() will gather and merge them, and +#'return a single data object, including one or multiple multidimensional data +#'arrays and additional metadata. +#' +#'@param workflow A list of the class 'startR_workflow' returned by function +#' AddSteop() or of class 'startR_cube' returned by function Start(). It +#' contains all the objects needed for the execution. +#'@param chunks A named list of dimensions which to split the data along and +#' the number of chunks to make for each. The chunked dimension can only be +#' those not required as the target dimension in function Step(). The default +#' value is 'auto', which lists all the non-target dimensions and each one has +#' one chunk. +#'@param threads_load An integer indicating the number of execution threads to +#' use for the data retrieval stage. The default value is 1. +#'@param threads_compute An integer indicating the number of execution threads +#' to use for the computation. The default value is 1. +#'@param cluster A list of components that define the configuration of the +#' machine to be run on. The comoponents vary from the different machines. +#' Check https://earth.bsc.es/gitlab/es/startR/ for more details and examples. +#' Only needed when the computation is not run locally. The default value is +#' NULL. +#'@param ecflow_suite_dir A character string indicating the path to a folder in +#' the local workstation where to store temporary files generated for the +#' automatic management of the workflow. Only needed when the execution is run +#' remotely. The default value is NULL. +#'@param ecflow_server A named vector indicating the host and port of the +#' EC-Flow server. The vector form should be +#' \code{c(host = 'hostname', port = port_number)}. Only needed when the +#' execution is run#' remotely. The default value is NULL. +#'@param silent A logical value deciding whether to print the computation +#' progress (FALSE) on the R session or not (TRUE). It only works when the +#' execution runs locally or the parameter 'wait' is TRUE. The default value +#' is FALSE. +#'@param debug A logical value deciding whether to return detailed messages on +#' the progress and operations in a Compute() call (TRUE) or not (FALSE). +#' Automatically changed to FALSE if parameter 'silent' is TRUE. The default +#' value is FALSE. +#'@param wait A logical value deciding whether the R session waits for the +#' Compute() call to finish (TRUE) or not (FALSE). If FALSE, it will return an +#' object with all the information of the startR execution that can be stored +#' in your disk. After that, the R session can be closed and the results can +#' be collected later with the Collect() function. The default value is TRUE. +#' +#'@return A list of data arrays for the output returned by the last step in the +#' specified workflow. The configuration details and profiling information are +#' attached as attributes to the returned list of arrays. +#'@examples +#' data_path <- system.file('sample_data', package = 'startR') +#' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') +#' sdates <- c('200011', '200012') +#' data <- Start(dat = path_obs, +#' var = 'tos', +#' sdate = sdates, +#' time = 'all', +#' latitude = 'all', +#' longitude = 'all', +#' return_vars = list(latitude = 'dat', +#' longitude = 'dat', +#' time = 'sdate'), +#' retrieve = FALSE) +#' fun <- function(x) { +#' lat = attributes(x)$Variables$dat1$latitude +#' weight = sqrt(cos(lat * pi / 180)) +#' corrected = Apply(list(x), target_dims = "latitude", +#' fun = function(x) {x * weight}) +#' } +#' step <- Step(fun = fun, +#' target_dims = 'latitude', +#' output_dims = 'latitude', +#' use_libraries = c('multiApply'), +#' use_attributes = list(data = "Variables")) +#' wf <- AddStep(data, step) +#' res <- Compute(wf, chunks = list(longitude = 4, sdate = 2)) +#' +#'@export Compute <- function(workflow, chunks = 'auto', threads_load = 1, threads_compute = 1, cluster = NULL, ecflow_suite_dir = NULL, -- GitLab From 9be12d6bad400b0df94615ad5abd3fea70f1cd5c Mon Sep 17 00:00:00 2001 From: aho Date: Mon, 27 Jul 2020 17:51:39 +0200 Subject: [PATCH 10/60] Small type fix --- R/ByChunks.R | 18 ++++++++++++++++++ R/CDORemapper.R | 2 +- R/SelectorChecker.R | 5 +++-- R/Step.R | 2 -- 4 files changed, 22 insertions(+), 5 deletions(-) diff --git a/R/ByChunks.R b/R/ByChunks.R index 22b8667..9aeb3ae 100644 --- a/R/ByChunks.R +++ b/R/ByChunks.R @@ -1,3 +1,21 @@ +#' +#' +#' +#'@param step_fun +#'@param cube_headers +#'@param {\dots} +#'@param chunks +#'@param threads_load +#'@param threads_compute +#'@param cluster +#'@param ecflow_suite_dir +#'@param ecflow_server +#'@param silent +#'@param debug +#'@param wait +#' +#'@return +#'@export ByChunks <- function(step_fun, cube_headers, ..., chunks = 'auto', threads_load = 2, threads_compute = 1, cluster = NULL, diff --git a/R/CDORemapper.R b/R/CDORemapper.R index 8ea676d..4985208 100644 --- a/R/CDORemapper.R +++ b/R/CDORemapper.R @@ -15,7 +15,7 @@ #' parameter 'transform' of the function Start(). #'@param file_selectors A charcter vector indicating the information of the path of #' the file parameter 'data_array' comes from. See details in the documentation of -#' the parameter 'transform' of the function Start(). +#' the parameter 'transform' of the function Start(). The default value is NULL. #'@param {\dots} A list of additional parameters to adjust the transform process, #' as provided in the parameter 'transform_params' in a Start() call. See details #' in the documentation of the parameter 'transform' of the function Start(). diff --git a/R/SelectorChecker.R b/R/SelectorChecker.R index 16f0150..d5d90f9 100644 --- a/R/SelectorChecker.R +++ b/R/SelectorChecker.R @@ -17,12 +17,13 @@ #' parameters 'selector_checker' and {\dots} of the function Start(). The #' default value is NULL. When not specified, SelectorChecker() simply returns #' the input indices. -#'@param return_indices A boolean flag, automatically configured by Start(), +#'@param return_indices A logical value automatically configured by Start(), #' telling whether to return the numeric indices or coordinate variable values -#' after the matching. +#' after the matching. The default value is TRUE. #'@param tolerance A numeric value indicating a tolerance value to be used in #' the matching of 'selectors' and 'var'. See documentation on #' _tolerance in {\dots} in the documentation of the function Start(). +#' The default value is NULL. #' #'@return A vector of either the indices of the matching values (if #' return_indices = TRUE) or the matching values themselves (if return_indices diff --git a/R/Step.R b/R/Step.R index ff141cc..1724332 100644 --- a/R/Step.R +++ b/R/Step.R @@ -46,8 +46,6 @@ #' corrected = Apply(list(x), target_dims = "latitude", #' fun = function(x) {x * weight}) #' } -#' -#' #' step <- Step(fun = fun, #' target_dims = 'latitude', #' output_dims = 'latitude', -- GitLab From c15c939e9bad8c496c73243c3762b8d85f6724b3 Mon Sep 17 00:00:00 2001 From: aho Date: Tue, 28 Jul 2020 12:57:28 +0200 Subject: [PATCH 11/60] Add Roxygen2 header --- R/ByChunks.R | 89 ++++++++++++++++++++++++++++++++++++++++++++-------- 1 file changed, 76 insertions(+), 13 deletions(-) diff --git a/R/ByChunks.R b/R/ByChunks.R index 9aeb3ae..b2cc6ca 100644 --- a/R/ByChunks.R +++ b/R/ByChunks.R @@ -1,20 +1,83 @@ +#'Execute the operation by chunks #' +#'This is a function used in Compute(), executing the operation by the chunks +#'specified in Compute(). It also returns the configuration details and +#'profiling information. #' +#'@param step_fun A function with the class 'startR_step_fun' containing the +#' details of operation. +#'@param cube_headers A list with the class 'startR_cube' returned by Start(). +#' It contains the details of data to be operated. +#'@param {\dots} Additional parameters for the inputs of 'step_fun'. +#'@param chunks A named list of dimensions which to split the data along and +#' the number of chunks to make for each. The chunked dimension can only be +#' those not required as the target dimension in function Step(). The default +#' value is 'auto', which lists all the non-target dimensions and each one has +#' one chunk. +#'@param threads_load An integer indicating the number of execution threads to +#' use for the data retrieval stage. The default value is 1. +#'@param threads_compute An integer indicating the number of execution threads +#' to use for the computation. The default value is 1. +#'@param cluster A list of components that define the configuration of the +#' machine to be run on. The comoponents vary from the different machines. +#' Check https://earth.bsc.es/gitlab/es/startR/ for more details and examples. +#' Only needed when the computation is not run locally. The default value is +#' NULL. +#'@param ecflow_suite_dir A character string indicating the path to a folder in +#' the local workstation where to store temporary files generated for the +#' automatic management of the workflow. Only needed when the execution is run +#' remotely. The default value is NULL. +#'@param ecflow_server A named vector indicating the host and port of the +#' EC-Flow server. The vector form should be +#' \code{c(host = 'hostname', port = port_number)}. Only needed when the +#' execution is run remotely. The default value is NULL. +#'@param silent A logical value deciding whether to print the computation +#' progress (FALSE) on the R session or not (TRUE). It only works when the +#' execution runs locally or the parameter 'wait' is TRUE. The default value +#' is FALSE. +#'@param debug A logical value deciding whether to return detailed messages on +#' the progress and operations in a Compute() call (TRUE) or not (FALSE). +#' Automatically changed to FALSE if parameter 'silent' is TRUE. The default +#' value is FALSE. +#'@param wait A logical value deciding whether the R session waits for the +#' Compute() call to finish (TRUE) or not (FALSE). If FALSE, it will return an +#' object with all the information of the startR execution that can be stored +#' in your disk. After that, the R session can be closed and the results can +#' be collected later with the Collect() function. The default value is TRUE. #' -#'@param step_fun -#'@param cube_headers -#'@param {\dots} -#'@param chunks -#'@param threads_load -#'@param threads_compute -#'@param cluster -#'@param ecflow_suite_dir -#'@param ecflow_server -#'@param silent -#'@param debug -#'@param wait +#'@return A list of data arrays for the output returned by the last step in the +#' specified workflow. The configuration details and profiling information are +#' attached as attributes to the returned list of arrays. +#' +#'@examples +#' # ByChunks() is internally used in Compute(), not intended to be used by +#' users. The example just illustrates the inputs of ByChunks(). +#' data_path <- system.file('sample_data', package = 'startR') +#' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') +#' sdates <- c('200011', '200012') +#' data <- Start(dat = path_obs, +#' var = 'tos', +#' sdate = sdates, +#' time = 'all', +#' latitude = 'all', +#' longitude = 'all', +#' return_vars = list(latitude = 'dat', +#' longitude = 'dat', +#' time = 'sdate'), +#' retrieve = FALSE) +#' fun <- function(x) { +#' lat = attributes(x)$Variables$dat1$latitude +#' weight = sqrt(cos(lat * pi / 180)) +#' corrected = Apply(list(x), target_dims = "latitude", +#' fun = function(x) {x * weight}) +#' } +#' step <- Step(fun = fun, +#' target_dims = 'latitude', +#' output_dims = 'latitude', +#' use_libraries = c('multiApply'), +#' use_attributes = list(data = "Variables")) +#' ByChunks(step, data) #' -#'@return #'@export ByChunks <- function(step_fun, cube_headers, ..., chunks = 'auto', threads_load = 2, threads_compute = 1, -- GitLab From 2f64825dbc52abfee40379af93e3ba5e036f4e6a Mon Sep 17 00:00:00 2001 From: aho Date: Tue, 28 Jul 2020 13:00:42 +0200 Subject: [PATCH 12/60] Fix typo in author list --- DESCRIPTION | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index 0cda1ba..d135d90 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -4,7 +4,7 @@ Version: 1.0.3 Authors@R: c( person("BSC-CNS", role = c("aut", "cph")), person("Nicolau", "Manubens", , "nicolau.manubens@bsc.es", role = c("aut")), - person("An Chi", "Ho", , "aho@bsc.es", role = c("ctb")), + person("An-Chi", "Ho", , "an.ho@bsc.es", role = c("ctb")), person("Nuria", "Perez-Zanon", , "nuria.perez@bsc.es", role = c("ctb", "cre"), comment = c(ORCID = "0000-0001-8568-3071")), person("Javier", "Vegas", , "javier.vegas@bsc.es", role = c("ctb")), person("Pierre-Antoine", "Bretonniere", , "pierre-antoine.bretonniere@bsc.es", role = c("ctb")), -- GitLab From 6eadfc48c6803bde79cf2c95ab25a25b243363ba Mon Sep 17 00:00:00 2001 From: aho Date: Tue, 28 Jul 2020 13:26:26 +0200 Subject: [PATCH 13/60] Add Roxygen2 header --- R/Subset.R | 47 +++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 47 insertions(+) diff --git a/R/Subset.R b/R/Subset.R index da35b5b..4b7ef42 100644 --- a/R/Subset.R +++ b/R/Subset.R @@ -1,3 +1,50 @@ +#'Subset a data array +#' +#'This function allows to subset (i.e. slice, take a chunk of) an array, in a +#'similar way as done in the function \code{take()} in the package plyr. There +#'are two main inprovements:\cr +#'The input array can have dimension names, either +#'in \code{names(dim(x))} or in the attribute 'dimensions', and the dimensions +#'to subset along can be specified via the parameter \code{along} either with +#'integer indices or either by their name.\cr +#'There are additional ways to adjust which dimensions are dropped in the +#'resulting array: either to drop all, to drop none, to drop only the ones that +#'have been sliced or to drop only the ones that have not been sliced.\cr +#'If an array is provided without dimension names, dimension names taken from +#'the parameter \code{dim_names} will be added to the array. +#' +#'@param x A multidimensional array to be sliced. It can have dimension names +#' either in \code{names(dim(x))} or either in the attribute 'dimensions'. +#'@param along Vector with references to the dimensions to take the subset +#' from: either integers or dimension names. +#'@param indices List of indices to take from each dimension specified in +#' 'along'. If a single dimension is specified in 'along' the indices can be +#' directly provided as a single integer or as a vector. +#'@param drop Whether to drop all the dimensions of length 1 in the resulting +#' array, none, only those that are specified in 'along', or only those that +#' are not specified in 'along'. The possible values are, respectively: 'all' +#' or TRUE, 'none' or FALSE, 'selected', and 'non-selected'. +#'@return An array same as the input 'x' except the dimensions being subsetted. +#'@examples +#' data_path <- system.file('sample_data', package = 'startR') +#' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') +#' sdates <- c('200011', '200012') +#' data <- Start(dat = path_obs, +#' var = 'tos', +#' sdate = sdates, +#' time = 'all', +#' latitude = 'all', +#' longitude = 'all', +#' return_vars = list(latitude = 'dat', +#' longitude = 'dat', +#' time = 'sdate'), +#' retrieve = TRUE) +#' +#' subset <- Subset(data, c('dat', 'var', 'time'), +#' list(1, 1, 1), drop = 'selected') +#' dim(subset) +#' +#'@export Subset <- function(x, along, indices, drop = FALSE) { # Check x if (!is.array(x)) { -- GitLab From 4ced6578b230b8ab7ae5dd284c5dc88611c81951 Mon Sep 17 00:00:00 2001 From: aho Date: Tue, 28 Jul 2020 14:52:38 +0200 Subject: [PATCH 14/60] Add Roxygen2 header --- R/Collect.R | 73 +++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 73 insertions(+) diff --git a/R/Collect.R b/R/Collect.R index f714899..f904ba5 100644 --- a/R/Collect.R +++ b/R/Collect.R @@ -1,3 +1,76 @@ +#'Collect and merge the computation results +#' +#'The final step of the startR workflow after the data operation. It is used when +#'the parameter 'wait' of Compute() is FALSE, and the functionality includes +#'updating the job status shown on the EC-Flow GUI and collecting all the chunks +#'of results as one data array when the execution is done. See more details on +#'\url{https://earth.bsc.es/gitlab/es/startR/}. +#' +#'@param startr_exec An R object returned by Compute() when the parameter 'wait' +#' of Compute() is FALSE. It can be directly from a Compute() call or read from +#' the RDS file. +#'@param wait A logical value deciding whether the R session waits for the +#' Collect() call to finish (TRUE) or not (FALSE). If TRUE, it will be a +#' blocking call, in which Collect() will retrieve information from the HPC, +#' including signals and outputs, each polling_period seconds. The the status +#' can be monitored on the EC-Flow GUI. Collect() will not return until the +#' results of all chunks have been received. If FALSE, Collect() will crash with +#' an error if the execution has not finished yet, otherwise it will return the +#' merged array. The default value is TRUE. +#'@param remove A logical value deciding whether to remove of all data results +#' received from the HPC (and stored under 'ecflow_suite_dir', the parameter in +#' Compute()) after being collected. To preserve the data and Collect() it as +#' many times as desired, set remove to FALSE. The default value is TRUE. +#'@return A list of merged data array. +#' +#'@examples +#' data_path <- system.file('sample_data', package = 'startR') +#' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') +#' sdates <- c('200011', '200012') +#' data <- Start(dat = path_obs, +#' var = 'tos', +#' sdate = sdates, +#' time = 'all', +#' latitude = 'all', +#' longitude = 'all', +#' return_vars = list(latitude = 'dat', +#' longitude = 'dat', +#' time = 'sdate'), +#' retrieve = FALSE) +#' fun <- function(x) { +#' lat = attributes(x)$Variables$dat1$latitude +#' weight = sqrt(cos(lat * pi / 180)) +#' corrected = Apply(list(x), target_dims = "latitude", +#' fun = function(x) {x * weight}) +#' } +#' step <- Step(fun = fun, +#' target_dims = 'latitude', +#' output_dims = 'latitude', +#' use_libraries = c('multiApply'), +#' use_attributes = list(data = "Variables")) +#' wf <- AddStep(data, step) +#' \dontrun{ +#' res <- Compute(wf, chunks = list(longitude = 2, sdate = 2), +#' threads_load = 1, +#' threads_compute = 4, +#' cluster = list(queue_host = 'nord3', +#' queue_type = 'lsf', +#' temp_dir = '/on_hpc/tmp_dir/', +#' cores_per_job = 2, +#' job_wallclock = '05:00', +#' max_jobs = 4, +#' extra_queue_params = list('#BSUB -q bsc_es'), +#' bidirectional = FALSE, +#' polling_period = 10 +#' ), +#' ecflow_suite_dir = '/on_local_machine/username/ecflow_dir/', +#' wait = FALSE) +#' saveRDS(res, file = 'test_collect.Rds') +#' collect_info <- readRDS('test_collect.Rds') +#' result <- Collect(collect_info, wait = TRUE) +#' } +#' +#'@export Collect <- function(startr_exec, wait = TRUE, remove = TRUE) { if (!('startR_exec' %in% class(startr_exec))) { stop("Parameter 'startr_exec' must be an object of the class ", -- GitLab From cb0ccb8a6c805021c2609ccb36e75651d0b19d73 Mon Sep 17 00:00:00 2001 From: aho Date: Tue, 28 Jul 2020 14:53:49 +0200 Subject: [PATCH 15/60] Small sentence modification --- R/Compute.R | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) diff --git a/R/Compute.R b/R/Compute.R index d248ad3..e5d5244 100644 --- a/R/Compute.R +++ b/R/Compute.R @@ -25,9 +25,9 @@ #' to use for the computation. The default value is 1. #'@param cluster A list of components that define the configuration of the #' machine to be run on. The comoponents vary from the different machines. -#' Check https://earth.bsc.es/gitlab/es/startR/ for more details and examples. -#' Only needed when the computation is not run locally. The default value is -#' NULL. +#' Check \url{https://earth.bsc.es/gitlab/es/startR/} for more details and +#' examples. Only needed when the computation is not run locally. The default +#' value is NULL. #'@param ecflow_suite_dir A character string indicating the path to a folder in #' the local workstation where to store temporary files generated for the #' automatic management of the workflow. Only needed when the execution is run @@ -48,11 +48,12 @@ #' Compute() call to finish (TRUE) or not (FALSE). If FALSE, it will return an #' object with all the information of the startR execution that can be stored #' in your disk. After that, the R session can be closed and the results can -#' be collected later with the Collect() function. The default value is TRUE. +#' be collected later with the Collect() function. The default value is TRUE. #' #'@return A list of data arrays for the output returned by the last step in the -#' specified workflow. The configuration details and profiling information are -#' attached as attributes to the returned list of arrays. +#' specified workflow (wait = TRUE), or an object with information about the +#' startR execution (wait = FALSE). The configuration details and profiling +#' information are attached as attributes to the returned list of arrays. #'@examples #' data_path <- system.file('sample_data', package = 'startR') #' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') -- GitLab From f80a1863352e963bbcc7b383e3f501114acc9bae Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 29 Jul 2020 11:53:46 +0200 Subject: [PATCH 16/60] Add Roxygen2 header --- R/Start.R | 764 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 764 insertions(+) diff --git a/R/Start.R b/R/Start.R index b23e0eb..1f3fb7a 100644 --- a/R/Start.R +++ b/R/Start.R @@ -1,3 +1,767 @@ +#'Declare, discover, subset and retrieve multidimensional distributed data sets +#' +#'See the \href{https://earth.bsc.es/gitlab/es/startR}{\code{startR} +#'documentation and tutorial} for a step-by-step explanation on how to use +#'\code{Start()}.\cr\cr +#'Nowadays in the era of big data, large multidimensional data sets from +#'diverse sources need to be combined and processed. Analysis of big data in any +#'field is often highly complex and time-consuming. Taking subsets of these data +#'sets and processing them efficiently become an indispensable practice. This +#'technique is also known as Domain Decomposition, Map Reduce or, more commonly, +#''chunking'.\cr\cr +#'\code{startR} (Subset, TrAnsform, ReTrieve, arrange and process large +#'multidimensional data sets in R) is an R project started at BSC with the aim +#'to develop a tool that allows the user to automatically process large +#'multidimensional distributed data sets. It is an open source project that is +#'open to external collaboration and funding, and will continuously evolve to +#'support as many data set formats as possible while maximizing its efficiency.\cr\cr +#'\code{startR} provides a framework under which a data set (collection of one +#'or multiple data files, potentially distributed over various remote servers) +#'are perceived as if they all were part of a single large multidimensional +#'array. Once such multidimensional array is declared, any user-defined function +#'can be applied to the data in a \code{apply}-like fashion, where \code{startR} +#'transparently implements the Map Reduce paradigm. The steps to follow in order +#'to process a collection of big data sets are as follows:\cr +#'\itemize{ +#' \item{ +#'Declaring the data set, i.e. declaring the distribution of the data files +#'involved, the dimensions and shape of the multidimensional array, and the +#'boundaries of the target data. This step can be performed with the +#'\code{Start()} function. Numeric indices or coordinate values can be used when +#'fixing the boundaries. It is common having the need to apply transformations, +#'pre-processing or reordering to the data. Start() accepts user-defined +#'transformation or reordering functions to be applied for such purposes. Once a +#'data set is declared, a list of involved files, dimension lengths, memory size +#'and other metadata is made available. Optionally, the data set can be +#'retrieved and loaded onto the current R session if it is small enough. +#' } +#' \item{ +#'Declaring the workflow of operations to perform on the involved data set(s). +#'This step can be performed with the \code{Step()} and \code{AddStep()} +#'functions. +#' } +#' \item{ +#'Defining the computation settings. The mandatory settings include a) how many +#'subsets to divide the data sets into and along which dimensions; b) which +#'platform to perform the workflow of operations on (local machine or remote +#'machine/HPC?), how to communicate with it (unidirectional or bidirectional +#'connection? shared or separate file systems?), which queuing system it uses +#'(slurm, PBS, LSF, none?); and c) how many parallel jobs and execution threads +#'per job to use when running the calculations. This step can be performed when +#'building up the call to the \code{Compute()} function. +#' } +#' \item{ +#'Running the computation. startR transparently implements the Map Reduce +#'paradigm, according to the settings in the previous steps. The progress can +#'optionally be monitored with the EC-Flow workflow management tool. When the +#'computation ends, a report of performance timings is displayed. This step can +#'be triggered with the \code{Compute()} function. +#' } +#'} +#'\code{startR} is not bound to a specific file format. Interface functions to +#'custom file formats can be provided for \code{Start()} to read them. As this +#'version, \code{startR} includes interface functions to the following file formats: +#'\itemize{ +#' \item{ +#'NetCDF +#' } +#'} +#'Metadata and auxilliary data is also preserved and arranged by \code{Start()} +#'in the measure that it is retrieved by the interface functions for a specific +#'file format. +#' +#'@param {\dots} A selection of custemized parameters depending on the data +#'format. When we retrieve data from one or a collection of data sets, +#'the involved data can be perceived as belonging to a large multi-dimensional +#'array. For instance, let us consider an example case. We want to retrieve data +#'from a source, which contains data for the number of monthly sales of various +#'items, and also for their retail price each month. The data on source is +#'stored as follows:\cr +#'\command{ +#'\cr # /data/ +#'\cr # |-> sales/ +#'\cr # | |-> electronics +#'\cr # | | |-> item_a.data +#'\cr # | | |-> item_b.data +#'\cr # | | |-> item_c.data +#'\cr # | |-> clothing +#'\cr # | |-> item_d.data +#'\cr # | |-> idem_e.data +#'\cr # | |-> idem_f.data +#'\cr # |-> prices/ +#'\cr # |-> electronics +#'\cr # | |-> item_a.data +#'\cr # | |-> item_b.data +#'\cr # | |-> item_c.data +#'\cr # |-> clothing +#'\cr # |-> item_d.data +#'\cr # |-> item_e.data +#'\cr # |-> item_f.data +#'}\cr\cr +#'Each item file contains data, stored in whichever format, for the sales or +#'prices over a time period, e.g. for the past 24 months, registered at 100 +#'different stores over the world. Whichever the format it is stored in, each +#'file can be perceived as a container of a data array of 2 dimensions, time and +#'store. Let us assume the '.data' format allows to keep a name for each of +#'these dimensions, and the actual names are 'time' and 'store'.\cr\cr +#'The different item files for sales or prices can be perceived as belonging to +#'an 'item' dimension of length 3, and the two groups of three items to a +#''section' dimension of length 2, and the two groups of two sections (one with +#'the sales and the other with the prices) can be perceived as belonging also to +#'another dimension 'variable' of length 2. Even the source can be perceived as +#'belonging to a dimension 'source' of length 1.\cr\cr +#'All in all, in this example, the whole data could be perceived as belonging to +#'a multidimensional 'large array' of dimensions\cr +#'\command{ +#'\cr # source variable section item store month +#'\cr # 1 2 2 3 100 24 +#'} +#'\cr\cr +#'The dimensions of this 'large array' can be classified in two types. The ones +#'that group actual files (the file dimensions) and the ones that group data +#'values inside the files (the inner dimensions). In the example, the file +#'dimensions are 'source', 'variable', 'section' and 'item', whereas the inner +#'dimensions are 'store' and 'month'. +#'\cr\cr +#'Having the dimensions of our target sources in mind, the parameter \dots +#'expects to receive information on: +#' \itemize{ +#' \item{ +#'The names of the expected dimensions of the 'large dataset' we want to +#'retrieve data from +#' } +#' \item{ +#'The indices to take from each dimension (and other constraints) +#' } +#' \item{ +#'How to reorder the dimension if needed +#' } +#' \item{ +#'The location and organization of the files of the data sets +#' } +#' } +#'For each dimension, the 3 first information items can be specified with a set +#'of parameters to be provided through \dots. For a given dimension 'dimname', +#'six parameters can be specified:\cr +#'\command{ +#'\cr # dimname = , # 'all' / 'first' / 'last' / +#'\cr # # indices(c(1, 10, 20)) / +#'\cr # # indices(c(1:20)) / +#'\cr # # indices(list(1, 20)) / +#'\cr # # c(1, 10, 20) / c(1:20) / +#'\cr # # list(1, 20) +#'\cr # dimname_var = , +#'\cr # dimname_tolerance = , +#'\cr # dimname_reorder = , +#'\cr # dimname_depends = , +#'\cr # dimname_across = +#'} +#'\cr\cr +#'The \bold{indices to take} can be specified in three possible formats (see +#'code comments above for examples). The first format consists in using +#'character tags, such as 'all' (take all the indices available for that +#'dimension), 'first' (take only the first) and 'last' (only the last). The +#'second format consists in using numeric indices, which have to be wrapped in a +#'call to the \code{indices()} helper function. For the second format, either a +#'vector of numeric indices can be provided, or a list with two numeric indices +#'can be provided to take all the indices in the range between the two specified +#'indices (both extremes inclusive). The third format consists in providing a +#'vector character strings (for file dimensions) or of values of whichever type +#'(for inner dimensions). For the file dimensions, the provided character +#'strings in the third format will be used as components to build up the final +#'path to the files (read further). For inner dimensions, the provided values in +#'the third format will be compared to the values of an associated coordinate +#'variable (must be specified in \code{dimname_reorder}, read further), and the +#'indices of the closest values will be retrieved. When using the third format, +#'a list with two values can also be provided to take all the indices of the +#'values within the specified range. +#'\cr\cr +#'The \bold{name of the associated coordinate variable} must be a character +#'string with the name of an associated coordinate variable to be found in the +#'data files (in all* of them). For this to work, a \code{file_var_reader} +#'function must be specified when calling \code{Start()} (see parameter +#''file_var_reader'). The coordinate variable must also be requested in the +#'parameter \code{return_vars} (see its section for details). This feature only +#'works for inner dimensions. +#'\cr\cr +#'The \bold{tolerance value} is useful when indices for an inner dimension are +#'specified in the third format (values of whichever type). In that case, the +#'indices of the closest values in the coordinate variable are seeked. However +#'the closest value might be too distant and we would want to consider no real +#'match exists for such provided value. This is possible via the tolerance, +#'which allows to specify a threshold beyond which not to seek for matching +#'values and mark that index as missing value. +#'\cr\cr +#'The \bold{reorder_function} is useful when indices for an inner dimension are +#'specified in the third fromat, and the retrieved indices need to be reordered +#'in function of their provided associated variable values. A function can be +#'provided, which receives as input a vector of values, and returns as outputs a +#'list with the components \code{x} with the reordered values, and \code{ix} +#'with the permutation indices. Two reordering functions are included in +#'\code{startR}, the \code{Sort()} and the \code{CircularSort()}. +#'\cr\cr +#'The \bold{name of another dimension} to be specified in \code{dimname_depends}, +#'only available for file dimensions, must be a character string with the name +#'of another requested \bold{file dimension} in \dots, and will make +#'\code{Start()} aware that the path components of a file dimension can vary in +#'function of the path component of another file dimension. For instance, in the +#'example above, specifying \code{item_depends = 'section'} will make +#'\code{Start()} aware that the item names vary in function of the section, i.e. +#'section 'electronics' has items 'a', 'b' and 'c' but section 'clothing' has +#'items 'd', 'e', 'f'. Otherwise \code{Start()} would expect to find the same +#'item names in all the sections. +#'\cr\cr +#'The \bold{name of another dimension} to be specified in \code{dimname_across}, +#'only available for inner dimensions, must be a character string with the name +#'of another requested \bold{inner dimension} in \dots, and will make +#'\code{Start()} aware that an inner dimension extends along multiple files. For +#'instance, let us imagine that in the example above, the records for each item +#'are so large that it becomes necessary to split them in multiple files each +#'one containing the registers for a different period of time, e.g. in 10 files +#'with 100 months each ('item_a_period1.data', 'item_a_period2.data', and so on). +#'In that case, the data can be perceived as having an extra file dimension, the#''period' dimension. The inner dimension 'month' would extend across multiple +#'files, and providing the parameter \code{month = indices(1, 300)} would make +#'\code{Start()} crash because it would perceive we have made a request out of +#'bounds (each file contains 100 'month' indices, but we requested 1 to 300). +#'This can be solved by specifying the parameter \code{month_across = period} (a +#'long with the full specification of the dimension 'period'). +#'\cr\cr +#'\bold{Defining the path pattern} +#'\cr +#'As mentioned above, the parameter \dots also expects to receive information +#'with the location of the data files. In order to do this, a special dimension +#'must be defined. In that special dimension, in place of specifying indices to +#'take, a path pattern must be provided. The path pattern is a character string +#'that encodes the way the files are organized in their source. It must be a +#'path to one of the data set files in an accessible local or remote file system, +#'or a URL to one of the files provided by a local or remote server. The regions +#'of this path that vary across files (along the file dimensions) must be +#'replaced by wildcards. The wildcards must match any of the defined file +#'dimensions in the call to \code{Start()} and must be delimited with heading +#'and trailing '$'. Shell globbing expressions can be used in the path pattern. +#'See the next code snippet for an example of a path pattern. +#'\cr\cr +#'All in all, the call to \code{Start()} to load the entire data set in the +#'example of store item sales, would look as follows: +#'\cr +#'\command{ +#'\cr # data <- Start(source = paste0('/data/$variable$/', +#'\cr # '$section$/$item$.data'), +#'\cr # variable = 'all', +#'\cr # section = 'all', +#'\cr # item = 'all', +#'\cr # item_depends = 'section', +#'\cr # store = 'all', +#'\cr # month = 'all') +#'} +#'\cr\cr +#'Note that in this example it would still be pending to properly define the +#'parameters \code{file_opener}, \code{file_closer}, \code{file_dim_reader}, +#'\code{file_var_reader} and \code{file_data_reader} for the '.data' file format +#'(see the corresponding sections). +#'\cr\cr +#'The call to \code{Start()} will return a multidimensional R array with the +#'following dimensions: +#'\cr +#'\command{ +#'\cr # source variable section item store month +#'\cr # 1 2 2 3 100 24 +#'} +#'\cr +#'The dimension specifications in the \dots do not have to follow any particular +#'order. The returned array will have the dimensions in the same order as they +#'have been specified in the call. For example, the following call: +#'\cr +#'\command{ +#'\cr # data <- Start(source = paste0('/data/$variable$/', +#'\cr # '$section$/$item$.data'), +#'\cr # month = 'all', +#'\cr # store = 'all', +#'\cr # item = 'all', +#'\cr # item_depends = 'section', +#'\cr # section = 'all', +#'\cr # variable = 'all') +#'} +#'\cr\cr +#'would return an array with the following dimensions: +#'\cr +#'\command{ +#'\cr # source month store item section variable +#'\cr # 1 24 100 3 2 2 +#'} +#'\cr\cr +#'Next, a more advanced example to retrieve data for only the sales records, for +#'the first section ('electronics'), for the 1st and 3rd items and for the +#'stores located in Barcelona (assuming the files contain the variable +#''store_location' with the name of the city each of the 100 stores are located +#'at): +#'\cr +#'\command{ +#'\cr # data <- Start(source = paste0('/data/$variable$/', +#'\cr # '$section$/$item$.data'), +#'\cr # variable = 'sales', +#'\cr # section = 'first', +#'\cr # item = indices(c(1, 3)), +#'\cr # item_depends = 'section', +#'\cr # store = 'Barcelona', +#'\cr # store_var = 'store_location', +#'\cr # month = 'all', +#'\cr # return_vars = list(store_location = NULL)) +#'} +#'\cr\cr +#'The defined names for the dimensions do not necessarily have to match the +#'names of the dimensions inside the file. Lists of alternative names to be +#'seeked can be defined in the parameter \code{synonims}. +#'\cr\cr +#'If data from multiple sources (not necessarily following the same structure) +#'has to be retrieved, it can be done by providing a vector of character strings +#'with path pattern specifications, or, in the extended form, by providing a +#'list of lists with the components 'name' and 'path', and the name of the +#'dataset and path pattern as values, respectively. For example: +#'\cr +#'\command{ +#'\cr # data <- Start(source = list( +#'\cr # list(name = 'sourceA', +#'\cr # path = paste0('/sourceA/$variable$/', +#'\cr # '$section$/$item$.data')), +#'\cr # list(name = 'sourceB', +#'\cr # path = paste0('/sourceB/$section$/', +#'\cr # '$variable$/$item$.data')) +#'\cr # ), +#'\cr # variable = 'sales', +#'\cr # section = 'first', +#'\cr # item = indices(c(1, 3)), +#'\cr # item_depends = 'section', +#'\cr # store = 'Barcelona', +#'\cr # store_var = 'store_location', +#'\cr # month = 'all', +#'\cr # return_vars = list(store_location = NULL)) +#'} +#'\cr +#' +#'@param return_vars A named list where the names are the names of the +#'variables to be fetched in the files, and the values are vectors of +#'character strings with the names of the file dimension which to retrieve each +#'variable for, or \code{NULL} if the variable has to be retrieved only once +#'from any (the first) of the involved files.\cr\cr +#'Apart from retrieving a multidimensional data array, retrieving auxiliary +#'variables inside the files can also be needed. The parameter +#'\code{return_vars} allows for requesting such variables, as long as a +#'\code{file_var_reader} function is also specified in the call to +#'\code{Start()} (see documentation on the corresponding parameter). +#'\cr\cr +#'In the case of the the item sales example (see documentation on parameter +#'\code{\dots)}, the store location variable is requested with the parameter +#'\code{return_vars = list(store_location = NULL)}. This will cause +#'\code{Start()} to fetch once the variable 'store_location' and return it in +#'the component \code{$Variables$common$store_location}, and will be an array +#'of character strings with the location names, with the dimensions +#'\code{c('store' = 100)}. Although useless in this example, we could ask +#'\code{Start()} to fetch and return such variable for each file along the +#'items dimension as follows: \cr +#'\code{return_vars = list(store_location = c('item'))}. In that case, the +#'variable will be fetched once from a file of each of the items, and will be +#'returned as an array with the dimensions \code{c('item' = 3, 'store' = 100)}. +#'\cr\cr +#'If a variable is requested along a file dimension that contains path pattern +#'specifications ('source' in the example), the fetched variable values will be +#'returned in the component \code{$Variables$$}. +#'For example: +#'\cr +#'\command{ +#'\cr # data <- Start(source = list( +#'\cr # list(name = 'sourceA', +#'\cr # path = paste0('/sourceA/$variable$/', +#'\cr # '$section$/$item$.data')), +#'\cr # list(name = 'sourceB', +#'\cr # path = paste0('/sourceB/$section$/', +#'\cr # '$variable$/$item$.data')) +#'\cr # ), +#'\cr # variable = 'sales', +#'\cr # section = 'first', +#'\cr # item = indices(c(1, 3)), +#'\cr # item_depends = 'section', +#'\cr # store = 'Barcelona', +#'\cr # store_var = 'store_location', +#'\cr # month = 'all', +#'\cr # return_vars = list(store_location = c('source', +#'\cr # 'item'))) +#'\cr # # Checking the structure of the returned variables +#'\cr # str(found_data$Variables) +#'\cr # Named list +#'\cr # ..$common: NULL +#'\cr # ..$sourceA: Named list +#'\cr # .. ..$store_location: char[1:18(3d)] 'Barcelona' 'Barcelona' ... +#'\cr # ..$sourceB: Named list +#'\cr # .. ..$store_location: char[1:18(3d)] 'Barcelona' 'Barcelona' ... +#'\cr # # Checking the dimensions of the returned variable +#'\cr # # for the source A +#'\cr # dim(found_data$Variables$sourceA) +#'\cr # item store +#'\cr # 3 3 +#'} +#'\cr\cr +#'The names of the requested variables do not necessarily have to match the +#'actual variable names inside the files. A list of alternative names to be +#'seeked can be specified via the parameter \code{synonims}. +#' +#'@param synonims A named list where the names are the requested variable or +#'dimension names, and the values are vectors of character strings with +#'alternative names to seek for such dimension or variable.\cr\cr +#'In some requests, data from different sources may follow different naming +#'conventions for the dimensions or variables, or even files in the same source +#'could have varying names. This parameter is in order for \code{Start()} to +#'properly identify the dimensions or variables with different names. +#'\cr\cr +#'In the example used in parameter \code{return_vars}, it may be the case that +#'the two involved data sources follow slightly different naming conventions. +#'For example, source A uses 'sect' as name for the sections dimension, whereas +#'source B uses 'section'; source A uses 'store_loc' as variable name for the +#'store locations, whereas source B uses 'store_location'. This can be taken +#'into account as follows: +#'\cr +#'\command{ +#'\cr # data <- Start(source = list( +#'\cr # list(name = 'sourceA', +#'\cr # path = paste0('/sourceA/$variable$/', +#'\cr # '$section$/$item$.data')), +#'\cr # list(name = 'sourceB', +#'\cr # path = paste0('/sourceB/$section$/', +#'\cr # '$variable$/$item$.data')) +#'\cr # ), +#'\cr # variable = 'sales', +#'\cr # section = 'first', +#'\cr # item = indices(c(1, 3)), +#'\cr # item_depends = 'section', +#'\cr # store = 'Barcelona', +#'\cr # store_var = 'store_location', +#'\cr # month = 'all', +#'\cr # return_vars = list(store_location = c('source', +#'\cr # 'item')), +#'\cr # synonims = list( +#'\cr # section = c('sec', 'section'), +#'\cr # store_location = c('store_loc', +#'\cr # 'store_location') +#'\cr # )) +#'} +#'\cr +#' +#'@param file_opener A function that receives as a single parameter +#' (\code{file_path}) a character string with the path to a file to be opened, +#' and returns an object with an open connection to the file (optionally with +#' header information) on success, or returns \code{NULL} on failure. +#'\cr\cr +#'This parameter takes by default \code{NcOpener} (an opener function for NetCDF +#'files). +#'\cr\cr +#'See \code{NcOpener} for a template to build a file opener for your own file +#'format. +#' +#'@param file_var_reader A function with the header \code{file_path = NULL}, +#' \code{file_object = NULL}, \code{file_selectors = NULL}, \code{var_name}, +#' \code{synonims} that returns an array with auxiliary data (i.e. data from a +#' variable) inside a file. \code{Start()} will provide automatically either a +#' \code{file_path} or a \code{file_object} to the \code{file_var_reader} +#' function (the function has to be ready to work whichever of these two is +#' provided). The parameter \code{file_selectors} will also be provided +#' automatically to the variable reader, containing a named list where the +#' names are the names of the file dimensions of the queried data set (see +#' documentation on \dots) and the values are single character strings with the +#' components used to build the path to the file being read (the one provided +#' in \code{file_path} or \code{file_object}). The parameter \code{var_name} +#' will be filled in automatically by \code{Start()} also, with the name of one +#' of the variales to be read. The parameter \code{synonims} will be filled in +#' with exactly the same value as provided in the parameter \code{synonims} in +#' the call to \code{Start()}, and has to be used in the code of the variable +#' reader to check for alternative variable names inside the target file. The +#' \code{file_var_reader} must return a (multi)dimensional array with named +#' dimensions, and optionally with the attribute 'variales' with other +#' additional metadata on the retrieved variable. +#'\cr\cr +#'Usually, the \code{file_var_reader} should be a degenerate case of the +#'\code{file_data_reader} (see documentation on the corresponding parameter), +#'so it is recommended to code the \code{file_data_reder} in first place. +#'\cr\cr +#'This parameter takes by default \code{NcVarReader} (a variable reader function +#'for NetCDF files). +#'\cr\cr +#'See \code{NcVarReader} for a template to build a variale reader for your own +#'file format. +#' +#'@param file_dim_reader A function with the header \code{file_path = NULL}, +#' \code{file_object = NULL}, \code{file_selectors = NULL}, \code{synonims} +#' that returns a named numeric vector where the names are the names of the +#' dimensions of the multidimensional data array in the file and the values are +#' the sizes of such dimensions. \code{Start()} will provide automatically +#' either a \code{file_path} or a \code{file_object} to the +#' \code{file_dim_reader} function (the function has to be ready to work +#' whichever of these two is provided). The parameter \code{file_selectors} +#' will also be provided automatically to the dimension reader, containing a +#' named list where the names are the names of the file dimensions of the +#' queried data set (see documentation on \dots) and the values are single +#' character strings with the components used to build the path to the file +#' being read (the one provided in \code{file_path} or \code{file_object}). +#' The parameter \code{synonims} will be filled in with exactly the same value +#' as provided in the parameter \code{synonims} in the call to \code{Start()}, +#' and can optionally be used in advanced configurations. +#'\cr\cr +#'This parameter takes by default \code{NcDimReader} (a dimension reader +#'function for NetCDF files). +#'\cr\cr +#'See \code{NcDimReader} for (an advanced) template to build a dimension reader +#'for your own file format. +#' +#'@param file_data_reader A function with the header \code{file_path = NULL}, +#' \code{file_object = NULL}, \code{file_selectors = NULL}, +#' \code{inner_indices = NULL}, \code{synonims} that returns a subset of the +#' multidimensional data array inside a file (even if internally it is not an +#' array). \code{Start()} will provide automatically either a \code{file_path} +#' or a \code{file_object} to the \code{file_data_reader} function (the +#' function has to be ready to work whichever of these two is provided). The +#' parameter \code{file_selectors} will also be provided automatically to the +#' data reader, containing a named list where the names are the names of the +#' file dimensions of the queried data set (see documentation on \dots) and the +#' values are single character strings with the components used to build the +#' path to the file being read (the one provided in \code{file_path} or +#' \code{file_object}). The parameter \code{inner_indices} will be filled in +#' automatically by \code{Start()} also, with a named list of numeric vectors, +#' where the names are the names of all the expected inner dimensions in a file +#' to be read, and the numeric vectors are the indices to be taken from the +#' corresponding dimension (the indices may not be consecutive nor in order). +#' The parameter \code{synonims} will be filled in with exactly the same value +#' as provided in the parameter \code{synonims} in the call to \code{Start()}, +#' and has to be used in the code of the data reader to check for alternative +#' dimension names inside the target file. The \code{file_data_reader} must +#' return a (multi)dimensional array with named dimensions, and optionally with +#' the attribute 'variales' with other additional metadata on the retrieved +#' data. +#'\cr\cr +#'Usually, the \code{file_data_reader} should use the \code{file_dim_reader} +#'(see documentation on the corresponding parameter), so it is recommended to +#'code the \code{file_dim_reder} in first place. +#'\cr\cr +#'This parameter takes by default \code{NcDataReader} (a data reader function +#'for NetCDF files). +#'\cr\cr +#'See \code{NcDataReader} for a template to build a data reader for your own +#'file format. +#' +#'@param file_closer A function that receives as a single parameter +#' (\code{file_object}) an open connection (as returned by \code{file_opener}) +#' to one of the files to be read, optionally with header information, and +#' closes the open connection. Always returns \code{NULL}. +#'\cr\cr +#'This parameter takes by default \code{NcCloser} (a closer function for NetCDF +#'files). +#'\cr\cr +#'See \code{NcCloser} for a template to build a file closer for your own file +#'format. +#' +#'@param transform A function with the header \code{dara_array}, +#' \code{variables}, \code{file_selectors = NULL}, \code{\dots}. It receives as +#' input, through the parameter \code{data_array}, a subset of a +#' multidimensional array (as returned by \code{file_data_reader}), applies a +#' transformation to it and returns it, preserving the amount of dimensions but +#' potentially modifying their size. This transformation may require data from +#' other auxiliary variables, automatically provided to \code{transform} +#' through the parameter \code{variables}, in the form of a named list where +#' the names are the variable names and the values are (multi)dimensional +#' arrays. Which variables need to be sent to \code{transform} can be specified +#' with the parameter \code{transform_vars} in \code{Start()}. The parameter +#' \code{file_selectors} will also be provided automatically to +#' \code{transform}, containing a named list where the names are the names of +#' the file dimensions of the queried data set (see documentation on \dots) and +#' the values are single character strings with the components used to build +#' the path to the file the subset being processed belongs to. The parameter +#' \dots will be filled in with other additional parameters to adjust the +#' transformation, exactly as provided in the call to \code{Start()} via the +#' parameter \code{transform_params}. +#'@param transform_params A named list with additional parameters to be sent to +#' the \code{transform} function (if specified). See documentation on +#' \code{transform} for details. +#'@param transform_vars A vector of character strings with the names of +#' auxiliary variables to be sent to the \code{transform} function (if +#' specified). All the variables to be sent to \code{transform} must also +#' have been requested as return variables in the parameter \code{return_vars} +#' of \code{Start()}. +#'@param transform_extra_cells An integer of extra indices to retrieve from the +#' data set, beyond the requested indices in \dots, in order for +#' \code{transform} to dispose of additional information to properly apply +#' whichever transformation (if needed). As many as +#' \code{transform_extra_cells} will be retrieved beyond each of the limits for +#' each of those inner dimensions associated to a coordinate variable and sent +#' to \code{transform} (i.e. present in \code{transform_vars}). After +#' \code{transform} has finished, \code{Start()} will take again and return a +#' subset of the result, for the returned data to fall within the specified +#' bounds in \dots. The default value is 2. +#'@param apply_indices_after_transform A logical value indicating when a +#' \code{transform} is specified in \code{Start()} and numeric indices are +#' provided for any of the inner dimensions that depend on coordinate variables, +#' these numeric indices can be made effective (retrieved) before applying the +#' transformation or after. The boolean flag allows to adjust this behaviour. +#' It takes \code{FALSE} by default (numeric indices are applied before sending +#' data to \code{transform}). +#'@param pattern_dims A character string indicating the name of the dimension +#' with path pattern specifications (see \dots for details). If not specified, +#' \code{Start()} assumes the first provided dimension is the pattern +#' dimension, with a warning. +#'@param metadata_dims A vector of character strings with the names of the file +#' dimensions which to return metadata for. As noted in \code{file_data_reader}, +#' the data reader can optionally return auxiliary data via the attribute +#' 'variables' of the returned array. \code{Start()} by default returns the +#' auxiliary data read for only the first file of each source (or data set) in +#' the pattern dimension (see \dots for info on what the pattern dimension is). +#' However it can be configured to return the metadata for all the files along +#' any set of file dimensions. The parameter \code{metadata_dims} allows to +#' configure this level of granularity of the returned metadata. +#'@param selector_checker A function used internaly by \code{Start()} to +#' translate a set of selectors (values for a dimension associated to a +#' coordinate variable) into a set of numeric indices. It takes by default +#' \code{SelectorChecker} and, in principle, it should not be required to +#' change it for customized file formats. The option to replace it is left open +#' for more versatility. See the code of \code{SelectorChecker} for details on +#' the inputs, functioning and outputs of a selector checker. +#'@param merge_across_dims A logical value indicating whether to merge +#' dimensions across which another dimension extends (according to the +#' \code{*_across} parameters). Takes the value \code{FALSE} by default. For +#' example, if the dimension 'time' extends across the dimension 'chunk' and +#' \code{merge_across_dims = TRUE}, the resulting data array will only contain +#' only the dimension 'time' as long as all the chunks together. +#'@param split_multiselected_dims A logical value indicating whether to split a +#' dimension that has been selected with a multidimensional array of selectors +#' into as many dimensions as present in the selector array. The default value +#' is FALSE. +#'@param path_glob_permissive A logical value or an integer specifying how many +#' folder levels in the path pattern, beginning from the end, the shell glob +#' expressions must be preserved and worked out for each file. The default +#' value is \code{FALSE}, which is equivalent to \code{0}. \code{TRUE} is +#' equivalent to \code{1}.\cr\cr +#'When specifying a path pattern for a dataset, it might contain shell glob +#'experissions. For each dataset, the first file matching the path pattern is +#'found, and the found file is used to work out fixed values for the glob +#'expressions that will be used for all the files of the dataset. However in +#'some cases the values of the shell glob expressions may not be constant for +#'all files in a dataset, and they need to be worked out for each file +#'involved.\cr\cr +#'For example, a path pattern could be as follows: +#'\code{'/path/to/dataset/$var$_*/$date$_*_foo.nc'}. Leaving +#'\code{path_glob_permissive = FALSE} will trigger automatic seek of the +#' contents to replace the asterisks (e.g. the first asterisk matches with +#' \code{'bar'} and the second with \code{'baz'}. The found contents will be +#' used for all files in the dataset (in the example, the path pattern will be +#' fixed to \code{'/path/to/dataset/$var$_bar/$date$_baz_foo.nc'}. However, if +#' any of the files in the dataset have other contents in the position of the +#' asterisks, \code{Start()} will not find them (in the example, a file like +#' \code{'/path/to/dataset/precipitation_bar/19901101_bin_foo.nc'} would not be +#' found). Setting \code{path_glob_permissive = 1} would preserve global +#' expressions in the latest level (in the example, the fixed path pattern +#' would be \code{'/path/to/dataset/$var$_bar/$date$_*_foo.nc'}, and the +#' problematic file mentioned before would be found), but of course this would +#' slow down the \code{Start()} call if the dataset involves a large number of +#' files. Setting \code{path_glob_permissive = 2} would leave the original path +#' pattern with the original glob expressions in the 1st and 2nd levels (in the +#' example, both asterisks would be preserved, thus would allow \code{Start()} +#' to recognize files such as +#' \code{'/path/to/dataset/precipitation_zzz/19901101_yyy_foo.nc'}). +#'@param retrieve A logical value indicating whether to retrieve the data +#' defined in the \code{Start} call or to explore only its dimension lengths +#' and names, and the values for the file and inner dimensions. The default +#' value is FALSE. +#'@param num_procs An integer of number of processes to be created for the +#' parallel execution of the retrieval / transformation / arrangement of the +#' multiple involved files in a call to \code{Start()}. If set to \code{NULL}, +#' takes the number of available cores (as detected by \code{detectCores()} in +#' the package 'future'). The default value is 1 (no parallel execution). +#'@param silent A logical value of whether to display progress messages (FALSE) +#' or not (TRUE). The default value is FALSE. +#'@param debug A logical value of whether to return detailed messages on the +#' progress and operations in a \code{Start} call (TRUE) or not (FALSE). The +#' default value is FALSE. +#' +#'@return If \code{retrieve = TRUE} the involved data is loaded into RAM memory +#' and an object of the class 'startR_cube' with the following components is +#' returned:\cr +#' \item{Data}{ +#' Multidimensional data array with named dimensions, with the data values +#' requested via \dots and other parameters. This array can potentially contain +#' metadata in the attribute 'variables'. +#' } +#' \item{Variables}{ +#' Named list of 1 + N components, containing lists of retrieved variables (as +#' requested in \code{return_vars}) common to all the data sources (in the 1st +#' component, \code{$common}), and for each of the N dara sources (named after +#' the source name, as specified in \dots, or, if not specified, \code{$dat1}, +#' \code{$dat2}, ..., \code{$datN}). Each of the variables are contained in a +#' multidimensional array with named dimensions, and potentially with the +#' attribute 'variables' with additional auxiliary data. +#' } +#' \item{Files}{ +#' Multidimensonal character string array with named dimensions. Its dimensions +#' are the file dimensions (as requested in \dots). Each cell in this array +#' contains a path to a retrieved file, or \code{NULL} if the corresponding +#' file was not found. +#' } +#' \item{NotFoundFiles}{ +#' Array with the same shape as \code{$Files} but with \code{NULL} in the +#' positions for which the corresponding file was found, and a path to the +#' expected file in the positions for which the corresponding file was not +#' found. +#' } +#' \item{FileSelectors}{ +#' Multidimensional character string array with named dimensions, with the same +#' shape as \code{$Files} and \code{$NotFoundFiles}, which contains the +#' components used to build up the paths to each of the files in the data +#' sources. +#' } +#'If \code{retrieve = FALSE} the involved data is not loaded into RAM memory and +#'an object of the class 'startR_header' with the following components is +#' returned:\cr +#' \item{Dimensions}{ +#' Named vector with the dimension lengths and names of the data involved in +#' the \code{Start} call. +#' } +#' \item{Variales}{ +#' Named list of 1 + N components, containing lists of retrieved variables (as +#' requested in \code{return_vars}) common to all the data sources (in the 1st +#' component, \code{$common}), and for each of the N dara sources (named after +#' the source name, as specified in \dots, or, if not specified, \code{$dat1}, +#' \code{$dat2}, ..., \code{$datN}). Each of the variables are contained in a +#' multidimensional array with named dimensions, and potentially with the +#' attribute 'variables' with additional auxiliary data. +#' } +#' \item{Files}{ +#' Multidimensonal character string array with named dimensions. Its dimensions +#' are the file dimensions (as requested in \dots). Each cell in this array +#' contains a path to a file to be retrieved (which may exist or not). +#' } +#' \item{FileSelectors}{ +#' Multidimensional character string array with named dimensions, with the same +#' shape as \code{$Files} and \code{$NotFoundFiles}, which contains the +#' components used to build up the paths to each of the files in the data +#' sources. +#' } +#' \item{StartRCall}{ +#' List of parameters sent to the \code{Start} call, with the parameter +#' \code{retrieve} set to \code{TRUE}. Intended for calling in order to +#' retrieve the associated data a posteriori with a call to \code{do.call}. +#' } +#' +#'@examples +#' data_path <- system.file('sample_data', package = 'startR') +#' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') +#' sdates <- c('200011', '200012') +#' data <- Start(dat = path_obs, +#' var = 'tos', +#' sdate = sdates, +#' time = 'all', +#' latitude = 'all', +#' longitude = 'all', +#' return_vars = list(latitude = 'dat', +#' longitude = 'dat', +#' time = 'sdate'), +#' retrieve = FALSE) +#' +#'@export Start <- function(..., # dim = indices/selectors, # dim_var = 'var', # dim_reorder = Sort/CircularSort, -- GitLab From 1e5e5869be6fc8bf23462f5c8409dc56b8d4b919 Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 29 Jul 2020 11:53:57 +0200 Subject: [PATCH 17/60] Small header fixes --- R/Collect.R | 2 +- R/Compute.R | 6 +++--- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/R/Collect.R b/R/Collect.R index f904ba5..27a89b1 100644 --- a/R/Collect.R +++ b/R/Collect.R @@ -4,7 +4,7 @@ #'the parameter 'wait' of Compute() is FALSE, and the functionality includes #'updating the job status shown on the EC-Flow GUI and collecting all the chunks #'of results as one data array when the execution is done. See more details on -#'\url{https://earth.bsc.es/gitlab/es/startR/}. +#'\href{https://earth.bsc.es/gitlab/es/startR/}{startR GitLab}. #' #'@param startr_exec An R object returned by Compute() when the parameter 'wait' #' of Compute() is FALSE. It can be directly from a Compute() call or read from diff --git a/R/Compute.R b/R/Compute.R index e5d5244..5d441e0 100644 --- a/R/Compute.R +++ b/R/Compute.R @@ -25,9 +25,9 @@ #' to use for the computation. The default value is 1. #'@param cluster A list of components that define the configuration of the #' machine to be run on. The comoponents vary from the different machines. -#' Check \url{https://earth.bsc.es/gitlab/es/startR/} for more details and -#' examples. Only needed when the computation is not run locally. The default -#' value is NULL. +#' Check \href{https://earth.bsc.es/gitlab/es/startR/}{startR GitLab} for more +#' details and examples. Only needed when the computation is not run locally. +#' The default value is NULL. #'@param ecflow_suite_dir A character string indicating the path to a folder in #' the local workstation where to store temporary files generated for the #' automatic management of the workflow. Only needed when the execution is run -- GitLab From a787ec1d51355d8a2391c4eb276d9fe25c6125b8 Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 29 Jul 2020 11:56:48 +0200 Subject: [PATCH 18/60] Use devtools::document() to generate .Rd --- NAMESPACE | 18 ++++++-- man/AddStep.Rd | 57 ++++++++++++++++++++++++++ man/ByChunks.Rd | 104 ++++++++++++++++++++++++++++++++++++++++++++++ man/Collect.Rd | 86 ++++++++++++++++++++++++++++++++++++++ man/Compute.Rd | 107 ++++++++++++++++++++++++++++++++++++++++++++++++ man/Step.Rd | 2 - 6 files changed, 369 insertions(+), 5 deletions(-) create mode 100644 man/AddStep.Rd create mode 100644 man/ByChunks.Rd create mode 100644 man/Collect.Rd create mode 100644 man/Compute.Rd diff --git a/NAMESPACE b/NAMESPACE index d5c33e0..49d546d 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -1,8 +1,20 @@ # Generated by roxygen2: do not edit by hand +export(AddStep) +export(ByChunks) +export(CDORemapper) export(CircularSort) +export(Collect) +export(Compute) +export(NcCloser) +export(NcDataReader) +export(NcDimReader) +export(NcOpener) +export(NcVarReader) +export(SelectorChecker) export(Sort) +export(Start) export(Step) -exportPattern("^[^\\.]") -import(stats, utils, abind, bigmemory, future, parallel) - +export(Subset) +import(easyNCDF) +importFrom(s2dverification,CDORemap) diff --git a/man/AddStep.Rd b/man/AddStep.Rd new file mode 100644 index 0000000..4e38414 --- /dev/null +++ b/man/AddStep.Rd @@ -0,0 +1,57 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/AddStep.R +\name{AddStep} +\alias{AddStep} +\title{Create the workflow with the previous defined operation and data.} +\usage{ +AddStep(inputs, step_fun, ...) +} +\arguments{ +\item{inputs}{One or a list of objects of the class 'startR_cube' returned by +Start(), indicating the data to be processed.} + +\item{step_fun}{A startR step function as returned by Step().} + +\item{{\dots}}{Additional parameters for the inputs of function defined in +'step_fun' by Step().} +} +\value{ +A list of the class 'startR_workflow' containing all the objects +needed for the data operation. +} +\description{ +The step that combines the previous declared data and operation together to +create the complete workflow. It is the final step before data processing. +} +\examples{ + data_path <- system.file('sample_data', package = 'startR') + path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') + sdates <- c('200011', '200012') + data <- Start(dat = path_obs, + var = 'tos', + sdate = sdates, + time = 'all', + latitude = 'all', + longitude = 'all', + return_vars = list(latitude = 'dat', + longitude = 'dat', + time = 'sdate'), + retrieve = FALSE) + pi_short <- 3.14 + fun <- function(x, pi_val) { + lat = attributes(x)$Variables$dat1$latitude + weight = sqrt(cos(lat * pi_val / 180)) + corrected = Apply(list(x), target_dims = "latitude", + fun = function(x) {x * weight}) + } + + + step <- Step(fun = fun, + target_dims = 'latitude', + output_dims = 'latitude', + use_libraries = c('multiApply'), + use_attributes = list(data = "Variables")) + wf <- AddStep(data, step, pi_val = pi_short) + +} + diff --git a/man/ByChunks.Rd b/man/ByChunks.Rd new file mode 100644 index 0000000..880d759 --- /dev/null +++ b/man/ByChunks.Rd @@ -0,0 +1,104 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/ByChunks.R +\name{ByChunks} +\alias{ByChunks} +\title{Execute the operation by chunks} +\usage{ +ByChunks(step_fun, cube_headers, ..., chunks = "auto", threads_load = 2, + threads_compute = 1, cluster = NULL, ecflow_suite_dir = NULL, + ecflow_server = NULL, silent = FALSE, debug = FALSE, wait = TRUE) +} +\arguments{ +\item{step_fun}{A function with the class 'startR_step_fun' containing the +details of operation.} + +\item{cube_headers}{A list with the class 'startR_cube' returned by Start(). +It contains the details of data to be operated.} + +\item{chunks}{A named list of dimensions which to split the data along and +the number of chunks to make for each. The chunked dimension can only be +those not required as the target dimension in function Step(). The default +value is 'auto', which lists all the non-target dimensions and each one has +one chunk.} + +\item{threads_load}{An integer indicating the number of execution threads to +use for the data retrieval stage. The default value is 1.} + +\item{threads_compute}{An integer indicating the number of execution threads +to use for the computation. The default value is 1.} + +\item{cluster}{A list of components that define the configuration of the +machine to be run on. The comoponents vary from the different machines. +Check https://earth.bsc.es/gitlab/es/startR/ for more details and examples. +Only needed when the computation is not run locally. The default value is +NULL.} + +\item{ecflow_suite_dir}{A character string indicating the path to a folder in +the local workstation where to store temporary files generated for the +automatic management of the workflow. Only needed when the execution is run +remotely. The default value is NULL.} + +\item{ecflow_server}{A named vector indicating the host and port of the +EC-Flow server. The vector form should be +\code{c(host = 'hostname', port = port_number)}. Only needed when the +execution is run remotely. The default value is NULL.} + +\item{silent}{A logical value deciding whether to print the computation +progress (FALSE) on the R session or not (TRUE). It only works when the +execution runs locally or the parameter 'wait' is TRUE. The default value +is FALSE.} + +\item{debug}{A logical value deciding whether to return detailed messages on +the progress and operations in a Compute() call (TRUE) or not (FALSE). +Automatically changed to FALSE if parameter 'silent' is TRUE. The default +value is FALSE.} + +\item{wait}{A logical value deciding whether the R session waits for the +Compute() call to finish (TRUE) or not (FALSE). If FALSE, it will return an +object with all the information of the startR execution that can be stored +in your disk. After that, the R session can be closed and the results can +be collected later with the Collect() function. The default value is TRUE.} + +\item{{\dots}}{Additional parameters for the inputs of 'step_fun'.} +} +\value{ +A list of data arrays for the output returned by the last step in the + specified workflow. The configuration details and profiling information are + attached as attributes to the returned list of arrays. +} +\description{ +This is a function used in Compute(), executing the operation by the chunks +specified in Compute(). It also returns the configuration details and +profiling information. +} +\examples{ +# ByChunks() is internally used in Compute(), not intended to be used by + users. The example just illustrates the inputs of ByChunks(). + data_path <- system.file('sample_data', package = 'startR') + path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') + sdates <- c('200011', '200012') + data <- Start(dat = path_obs, + var = 'tos', + sdate = sdates, + time = 'all', + latitude = 'all', + longitude = 'all', + return_vars = list(latitude = 'dat', + longitude = 'dat', + time = 'sdate'), + retrieve = FALSE) + fun <- function(x) { + lat = attributes(x)$Variables$dat1$latitude + weight = sqrt(cos(lat * pi / 180)) + corrected = Apply(list(x), target_dims = "latitude", + fun = function(x) {x * weight}) + } + step <- Step(fun = fun, + target_dims = 'latitude', + output_dims = 'latitude', + use_libraries = c('multiApply'), + use_attributes = list(data = "Variables")) + ByChunks(step, data) + +} + diff --git a/man/Collect.Rd b/man/Collect.Rd new file mode 100644 index 0000000..a496c41 --- /dev/null +++ b/man/Collect.Rd @@ -0,0 +1,86 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/Collect.R +\name{Collect} +\alias{Collect} +\title{Collect and merge the computation results} +\usage{ +Collect(startr_exec, wait = TRUE, remove = TRUE) +} +\arguments{ +\item{startr_exec}{An R object returned by Compute() when the parameter 'wait' +of Compute() is FALSE. It can be directly from a Compute() call or read from +the RDS file.} + +\item{wait}{A logical value deciding whether the R session waits for the +Collect() call to finish (TRUE) or not (FALSE). If TRUE, it will be a +blocking call, in which Collect() will retrieve information from the HPC, +including signals and outputs, each polling_period seconds. The the status +can be monitored on the EC-Flow GUI. Collect() will not return until the +results of all chunks have been received. If FALSE, Collect() will crash with +an error if the execution has not finished yet, otherwise it will return the +merged array. The default value is TRUE.} + +\item{remove}{A logical value deciding whether to remove of all data results +received from the HPC (and stored under 'ecflow_suite_dir', the parameter in +Compute()) after being collected. To preserve the data and Collect() it as +many times as desired, set remove to FALSE. The default value is TRUE.} +} +\value{ +A list of merged data array. +} +\description{ +The final step of the startR workflow after the data operation. It is used when +the parameter 'wait' of Compute() is FALSE, and the functionality includes +updating the job status shown on the EC-Flow GUI and collecting all the chunks +of results as one data array when the execution is done. See more details on +\href{https://earth.bsc.es/gitlab/es/startR/}{startR GitLab}. +} +\examples{ + data_path <- system.file('sample_data', package = 'startR') + path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') + sdates <- c('200011', '200012') + data <- Start(dat = path_obs, + var = 'tos', + sdate = sdates, + time = 'all', + latitude = 'all', + longitude = 'all', + return_vars = list(latitude = 'dat', + longitude = 'dat', + time = 'sdate'), + retrieve = FALSE) + fun <- function(x) { + lat = attributes(x)$Variables$dat1$latitude + weight = sqrt(cos(lat * pi / 180)) + corrected = Apply(list(x), target_dims = "latitude", + fun = function(x) {x * weight}) + } + step <- Step(fun = fun, + target_dims = 'latitude', + output_dims = 'latitude', + use_libraries = c('multiApply'), + use_attributes = list(data = "Variables")) + wf <- AddStep(data, step) + \dontrun{ + res <- Compute(wf, chunks = list(longitude = 2, sdate = 2), + threads_load = 1, + threads_compute = 4, + cluster = list(queue_host = 'nord3', + queue_type = 'lsf', + temp_dir = '/on_hpc/tmp_dir/', + cores_per_job = 2, + job_wallclock = '05:00', + max_jobs = 4, + extra_queue_params = list('#BSUB -q bsc_es'), + bidirectional = FALSE, + polling_period = 10 + ), + ecflow_suite_dir = '/on_local_machine/username/ecflow_dir/', + wait = FALSE) + saveRDS(res, file = 'test_collect.Rds') + collect_info <- readRDS('test_collect.Rds') + result <- Collect(collect_info, wait = TRUE) + } + +} + diff --git a/man/Compute.Rd b/man/Compute.Rd new file mode 100644 index 0000000..eb0efa6 --- /dev/null +++ b/man/Compute.Rd @@ -0,0 +1,107 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/Compute.R +\name{Compute} +\alias{Compute} +\title{Specify the execution parameters and trigger the execution} +\usage{ +Compute(workflow, chunks = "auto", threads_load = 1, threads_compute = 1, + cluster = NULL, ecflow_suite_dir = NULL, ecflow_server = NULL, + silent = FALSE, debug = FALSE, wait = TRUE) +} +\arguments{ +\item{workflow}{A list of the class 'startR_workflow' returned by function +AddSteop() or of class 'startR_cube' returned by function Start(). It +contains all the objects needed for the execution.} + +\item{chunks}{A named list of dimensions which to split the data along and +the number of chunks to make for each. The chunked dimension can only be +those not required as the target dimension in function Step(). The default +value is 'auto', which lists all the non-target dimensions and each one has +one chunk.} + +\item{threads_load}{An integer indicating the number of execution threads to +use for the data retrieval stage. The default value is 1.} + +\item{threads_compute}{An integer indicating the number of execution threads +to use for the computation. The default value is 1.} + +\item{cluster}{A list of components that define the configuration of the +machine to be run on. The comoponents vary from the different machines. +Check \href{https://earth.bsc.es/gitlab/es/startR/}{startR GitLab} for more +details and examples. Only needed when the computation is not run locally. +The default value is NULL.} + +\item{ecflow_suite_dir}{A character string indicating the path to a folder in +the local workstation where to store temporary files generated for the +automatic management of the workflow. Only needed when the execution is run +remotely. The default value is NULL.} + +\item{ecflow_server}{A named vector indicating the host and port of the +EC-Flow server. The vector form should be +\code{c(host = 'hostname', port = port_number)}. Only needed when the +execution is run#' remotely. The default value is NULL.} + +\item{silent}{A logical value deciding whether to print the computation +progress (FALSE) on the R session or not (TRUE). It only works when the +execution runs locally or the parameter 'wait' is TRUE. The default value +is FALSE.} + +\item{debug}{A logical value deciding whether to return detailed messages on +the progress and operations in a Compute() call (TRUE) or not (FALSE). +Automatically changed to FALSE if parameter 'silent' is TRUE. The default +value is FALSE.} + +\item{wait}{A logical value deciding whether the R session waits for the +Compute() call to finish (TRUE) or not (FALSE). If FALSE, it will return an +object with all the information of the startR execution that can be stored +in your disk. After that, the R session can be closed and the results can +be collected later with the Collect() function. The default value is TRUE.} +} +\value{ +A list of data arrays for the output returned by the last step in the + specified workflow (wait = TRUE), or an object with information about the + startR execution (wait = FALSE). The configuration details and profiling + information are attached as attributes to the returned list of arrays. +} +\description{ +The step of the startR workflow after the complete workflow is defined by +AddStep(). This function specifies the execution parameters and triggers the +execution. The execution can be operated locally or on a remote machine. If +it is the latter case, the configuration of the machine needs to be +sepecified in the function, and the EC-Flow server is required to be +installed.\cr +The execution can be operated by chunks to avoid overloading the RAM memory. +After all the chunks are finished, Compute() will gather and merge them, and +return a single data object, including one or multiple multidimensional data +arrays and additional metadata. +} +\examples{ + data_path <- system.file('sample_data', package = 'startR') + path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') + sdates <- c('200011', '200012') + data <- Start(dat = path_obs, + var = 'tos', + sdate = sdates, + time = 'all', + latitude = 'all', + longitude = 'all', + return_vars = list(latitude = 'dat', + longitude = 'dat', + time = 'sdate'), + retrieve = FALSE) + fun <- function(x) { + lat = attributes(x)$Variables$dat1$latitude + weight = sqrt(cos(lat * pi / 180)) + corrected = Apply(list(x), target_dims = "latitude", + fun = function(x) {x * weight}) + } + step <- Step(fun = fun, + target_dims = 'latitude', + output_dims = 'latitude', + use_libraries = c('multiApply'), + use_attributes = list(data = "Variables")) + wf <- AddStep(data, step) + res <- Compute(wf, chunks = list(longitude = 4, sdate = 2)) + +} + diff --git a/man/Step.Rd b/man/Step.Rd index 139e368..1d9d039 100644 --- a/man/Step.Rd +++ b/man/Step.Rd @@ -62,8 +62,6 @@ to the expected order for this function./cr corrected = Apply(list(x), target_dims = "latitude", fun = function(x) {x * weight}) } - - step <- Step(fun = fun, target_dims = 'latitude', output_dims = 'latitude', -- GitLab From 5520f14148ca2a4cc4143e1c237a50f5c4097a83 Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 29 Jul 2020 12:11:05 +0200 Subject: [PATCH 19/60] Move s2dverification and easyNCDF from 'suggestion' to 'import' --- DESCRIPTION | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index d135d90..3278b6a 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -25,10 +25,11 @@ Imports: bigmemory, future, multiApply (>= 2.1.1), - parallel -Suggests: + parallel, easyNCDF, s2dverification +Suggests: + testthat License: LGPL-3 URL: https://earth.bsc.es/gitlab/es/startR/ BugReports: https://earth.bsc.es/gitlab/es/startR/issues -- GitLab From ce3beca5ed289a60c43ac918d77f7f958071a84e Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 29 Jul 2020 12:11:28 +0200 Subject: [PATCH 20/60] Generate .Rd by devtools::document() --- R/NcDataReader.R | 2 +- man/CDORemapper.Rd | 79 ++-- man/NcCloser.Rd | 41 +- man/NcDataReader.Rd | 85 ++-- man/NcDimReader.Rd | 82 ++-- man/NcOpener.Rd | 43 +- man/NcVarReader.Rd | 81 ++-- man/SelectorChecker.Rd | 68 +-- man/Start.Rd | 975 ++++++++++++++++++++++++++++------------- man/Subset.Rd | 87 ++-- 10 files changed, 994 insertions(+), 549 deletions(-) diff --git a/R/NcDataReader.R b/R/NcDataReader.R index 47e3579..139a9d5 100644 --- a/R/NcDataReader.R +++ b/R/NcDataReader.R @@ -29,7 +29,7 @@ #' parameter 'file_data_reader' of the function Start(). #' #'@return A multidimensional data array with the named dimensions and indices -#' requested in inner_indices, potentially with the attribute ’variables’ with +#' requested in inner_indices, potentially with the attribute 'variables' with #' additional auxiliary data. See details in the documentation of the parameter #' 'file_data_reader' of the function Start(). #'@examples diff --git a/man/CDORemapper.Rd b/man/CDORemapper.Rd index 5ec1329..de394e3 100644 --- a/man/CDORemapper.Rd +++ b/man/CDORemapper.Rd @@ -1,41 +1,58 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/CDORemapper.R \name{CDORemapper} \alias{CDORemapper} \title{CDO Remap Data Transformation for 'startR'} -\description{ -This is a transform function that uses CDO software to remap longitude-latitude data subsets onto a specified target grid, intended for use as parameter \code{transform} in a call to the function \code{Start()} in the package 'startR'. This function complies with the input/output interface required by \code{Start()} defined in the documentation for the parameter \code{transform} of that function. -\cr\cr -This function uses the function \code{CDORemap()} in the package 's2dverification' to perform the interpolations and hence requires having CDO installed in the machine. -} \usage{ -CDORemapper(data_array, variables, file_selectors, ...) +CDORemapper(data_array, variables, file_selectors = NULL, ...) } \arguments{ - \item{data_array}{ -Input data array to be transformed. See details in the documentation of the parameter \code{transform} of the function \code{Start()}. - } - \item{variables}{ -Auxiliary variables required for the transformation, automatically provided by \code{Start()}. See details in the documentation of the parameter \code{transform} of the function \code{Start()}. - } - \item{file_selectors}{ -Information on the path of the file the input data array comes from. See details in the documentation of the parameter \code{transform} of the function \code{Start()}. - } - \item{\dots}{ -Additional parameters to adjust the transform process, as provided in the parameter \code{transform_params} in a call to the function \code{Start()}. See details in the documentation of the parameter \code{transform} of the function \code{Start()}. - } -} -\value{ -An array with the same amount of dimensions as the input data array, potentially with different sizes, and potentially with the attribute 'variables' with additional auxiliary data. See details in the documentation of the parameter \code{transform} of the function \code{Start()}. +\item{data_array}{A data array to be transformed. See details in the +documentation of the parameter 'transform' of the function Start().} + +\item{variables}{A list of auxiliary variables required for the transformation, +automatically provided by Start(). See details in the documentation of the +parameter 'transform' of the function Start().} + +\item{file_selectors}{A charcter vector indicating the information of the path of +the file parameter 'data_array' comes from. See details in the documentation of +the parameter 'transform' of the function Start(). The default value is NULL.} + +\item{{\dots}}{A list of additional parameters to adjust the transform process, +as provided in the parameter 'transform_params' in a Start() call. See details +in the documentation of the parameter 'transform' of the function Start().} } -\author{ -History:\cr -0.0 - 2017-04 (N. Manubens, \email{nicolau.manubens at bsc.es}) - Original code -} -\seealso{ -\code{\link[s2dverification]{CDORemap}} +\description{ +This is a transform function that uses CDO software to remap longitude-latitude +data subsets onto a specified target grid, intended for use as parameter +'transform' in a Start() call. This function complies with the input/output +interface required by Start() defined in the documentation for the parameter +'transform' of function Start().\cr +This function uses the function CDORemap() in the package 's2dverification' to +perform the interpolation, hence CDO is required to be installed. } \examples{ -## Check https://earth.bsc.es/gitlab/es/startR for step-by-step examples -## of Start() that use CDORemapper(). +# Used in Start(): + data_path <- system.file('sample_data', package = 'startR') + path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') + sdates <- c('200011') + data <- Start(dat = path_obs, + var = 'tos', + sdate = sdates, + time = 'all', + latitude = values(list(-60, 60)), + latitude_reorder = Sort(decreasing = TRUE), + longitude = values(list(-120, 120)), + longitude_reorder = CircularSort(-180, 180), + transform = CDORemapper, + transform_params = list(grid = 'r360x181', + method = 'conservative', + crop = c(-120, 120, -60, 60)), + transform_vars = c('latitude', 'longitude'), + return_vars = list(latitude = 'dat', + longitude = 'dat', + time = 'sdate'), + retrieve = FALSE) + } -\keyword{array} -\keyword{manip} + diff --git a/man/NcCloser.Rd b/man/NcCloser.Rd index f8ca599..dbd8bca 100644 --- a/man/NcCloser.Rd +++ b/man/NcCloser.Rd @@ -1,33 +1,32 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/NcCloser.R \name{NcCloser} \alias{NcCloser} -\title{NetCDF File Closer for 'startR'} -\description{ -This is a file closer function for NetCDF files, intended for use as parameter \code{file_closer} in a call to the function \code{Start()} in the package 'startR'. This function complies with the input/output interface required by \code{Start()} defined in the documentation for the parameter \code{file_closer} of that function. -\cr\cr -This function uses the function \code{NcClose()} in the package 'easyNCDF', which in turn uses \code{nc_close()} in the package 'ncdf4'. -} +\title{NetCDF file closer for 'startR'} \usage{ NcCloser(file_object) } \arguments{ - \item{file_object}{ -Open connection to a NetCDF file, optionally with additional header information. See details in the documentation of the parameter \code{file_closer} of the function \code{Start()}. - } +\item{file_object}{An open connection to a NetCDF file, optionally with +additional header information. See details in the documentation of the +parameter 'file_closer' of the function Start().} } \value{ -This function returns \code{NULL}. +This function returns NULL. } -\author{ -History:\cr -0.0 - 2017-04 (N. Manubens, \email{nicolau.manubens at bsc.es}) - Original code -} -\seealso{ -\code{\link{NcOpener}}, \code{\link{NcDimReader}}, \code{\link{NcDataReader}}, \code{\link{NcVarReader}} +\description{ +This is a file closer function for NetCDF files, intended for use as +parameter file_closer in a Start() call. This function complies with the +input/output interface required by Start() defined in the documentation for +the parameter 'file_closer'.\cr +This function uses the function NcClose() in the package 'easyNCDF', which in +turn uses nc_close() in the package 'ncdf4'. } \examples{ -## Check https://earth.bsc.es/gitlab/es/startR for step-by-step examples -## of Start() that use NcCloser(). +data_path <- system.file('sample_data', package = 'startR') +path_obs <- file.path(data_path, 'obs/monthly_mean/tos/tos_200011.nc') +connection <- NcOpener(path_obs) +NcCloser(connection) + } -\keyword{IO} -\keyword{array} -\keyword{manip} + diff --git a/man/NcDataReader.Rd b/man/NcDataReader.Rd index 8bd68af..493469a 100644 --- a/man/NcDataReader.Rd +++ b/man/NcDataReader.Rd @@ -1,46 +1,61 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/NcDataReader.R \name{NcDataReader} \alias{NcDataReader} -\title{NetCDF File Data Reader for 'startR'} -\description{ -This is a data reader function for NetCDF files, intended for use as parameter \code{file_data_reader} in a call to the function \code{Start()} in the package 'startR'. This function complies with the input/output interface required by \code{Start()} defined in the documentation for the parameter \code{file_data_reader} of that function. -\cr\cr -This function uses the function \code{NcToArray()} in the package 'easyNCDF', which in turn uses \code{nc_var_get()} in the package 'ncdf4'. -} +\title{NetCDF file data reader for 'startR'} \usage{ -NcDataReader(file_path = NULL, file_object = NULL, file_selectors = NULL, - inner_indices = NULL, synonims) +NcDataReader(file_path = NULL, file_object = NULL, file_selectors = NULL, + inner_indices = NULL, synonims) } \arguments{ - \item{file_path}{ -Character string with the path to the data file to read. See details in the documentation of the parameter \code{file_data_reader} of the function \code{Start()}. - } - \item{file_object}{ -Open connection to a NetCDF file, optionally with additional header information. See details in the documentation of the parameter \code{file_data_reader} of the function \code{Start()}. - } - \item{file_selectors}{ -Information on the path of the file to read data from. See details in the documentation of the parameter \code{file_data_reader} of the function \code{Start()}. - } - \item{inner_indices}{ -Named list with the numeric indices to take from each of the inner dimensions in the requested file. See details in the documentation of the parameter \code{file_data_reader} of the function \code{Start()}. - } - \item{synonims}{ -Named list with synonims for the dimension names to look for in the requested file, exactly as provided in the parameter \code{synonims} in a call to the function \code{Start()}. See details in the documentation of the parameter \code{file_data_reader} of the function \code{Start()}. - } +\item{file_path}{A character string indicating the path to the data file to +read. See details in the documentation of the parameter 'file_data_reader' +of the function Start(). The default value is NULL.} + +\item{file_object}{An open connection to a NetCDF file, optionally with +additional header information. See details in the documentation of the +parameter 'file_data_reader' of the function Start(). The default value is +NULL.} + +\item{file_selectors}{A named list containing the information of the path of +the file to read data from. It is automatically provided by Start(). See +details in the documentation of the parameter 'file_data_reader' of the +function Start(). The default value is NULL.} + +\item{inner_indices}{A named list of numeric vectors indicating the indices +to take from each of the inner dimensions in the requested file. It is +automatically provided by Start(). See details in the documentation of the +parameter 'file_data_reader' of the function Start(). The default value is +NULL.} + +\item{synonims}{A named list indicating the synonims for the dimension names +to look for in the requested file, exactly as provided in the parameter +'synonims' in a Start() call. See details in the documentation of the +parameter 'file_data_reader' of the function Start().} } \value{ -A multidimensional data array with the named dimensions and indices requested in \code{inner_indices}, potentially with the attribute 'variables' with additional auxiliary data. See details in the documentation of the parameter \code{file_data_reader} of the function \code{Start()}. +A multidimensional data array with the named dimensions and indices + requested in inner_indices, potentially with the attribute 'variables' with + additional auxiliary data. See details in the documentation of the parameter + 'file_data_reader' of the function Start(). } -\author{ -History:\cr -0.0 - 2017-04 (N. Manubens, \email{nicolau.manubens at bsc.es}) - Original code -} -\seealso{ -\code{\link{NcOpener}}, \code{\link{NcCloser}}, \code{\link{NcDimReader}}, \code{\link{NcVarReader}} +\description{ +This is a data reader function for NetCDF files, intended for use as parameter +file_data_reader in a Start() call. This function complies with the +input/output interface required by Start() defined in the documentation for +the parameter 'file_data_reader'.\cr +This function uses the function NcToArray() in the package 'easyNCDF', which +in turn uses nc_var_get() in the package 'ncdf4'. } \examples{ -## Check https://earth.bsc.es/gitlab/es/startR for step-by-step examples -## of Start() that use NcDataReader(). + data_path <- system.file('sample_data', package = 'startR') + file_to_open <- file.path(data_path, 'obs/monthly_mean/tos/tos_200011.nc') + file_selectors <- c(dat = 'dat1', var = 'tos', sdate = '200011') + first_round_indices <- list(time = 1, latitude = 1:8, longitude = 1:16) + synonims <- list(dat = 'dat', var = 'var', sdate = 'sdate', time = 'time', + latitude = 'latitude', longitude = 'longitude') + sub_array <- NcDataReader(file_to_open, NULL, file_selectors, + first_round_indices, synonims) + } -\keyword{IO} -\keyword{array} -\keyword{manip} + diff --git a/man/NcDimReader.Rd b/man/NcDimReader.Rd index 9a0a104..84d3394 100644 --- a/man/NcDimReader.Rd +++ b/man/NcDimReader.Rd @@ -1,46 +1,58 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/NcDimReader.R \name{NcDimReader} \alias{NcDimReader} -\title{NetCDF Dimension Reader for 'startR'} -\description{ -This is a dimension reader function for NetCDF files, intended for use as parameter \code{file_dim_reader} in a call to the function \code{Start()} in the package 'startR'. This function complies with the input/output interface required by \code{Start()} defined in the documentation for the parameter \code{file_dim_reader} of that function. -\cr\cr -This function uses the function \code{NcReadDims()} in the package 'easyNCDF'. -} +\title{NetCDF dimension reader for 'startR'} \usage{ -NcDimReader(file_path = NULL, file_object = NULL, file_selectors = NULL, - inner_indices = NULL, synonims) +NcDimReader(file_path = NULL, file_object = NULL, file_selectors = NULL, + inner_indices = NULL, synonims) } \arguments{ - \item{file_path}{ -Character string with the path to the data file to read the dimensions for. See details in the documentation of the parameter \code{file_dim_reader} of the function \code{Start()}. - } - \item{file_object}{ -Open connection to a NetCDF file, optionally with additional header information. See details in the documentation of the parameter \code{file_dim_reader} of the function \code{Start()}. - } - \item{file_selectors}{ -Information on the path of the file to read data from. See details in the documentation of the parameter \code{file_dim_reader} of the function \code{Start()}. - } - \item{inner_indices}{ -Named list with the numeric indices to take from each of the inner dimensions in the requested file. Used only in advanced configurations. See details in the documentation of the parameter \code{file_dim_reader} of the function \code{Start()}. - } - \item{synonims}{ -Named list with synonims for the dimension names to look for in the requested file, exactly as provided in the parameter \code{synonims} in a call to the function \code{Start()}. See details in the documentation of the parameter \code{file_dim_reader} of the function \code{Start()}. - } +\item{file_path}{A character string indicating the path to the data file to +read. See details in the documentation of the parameter 'file_dim_reader' +of the function Start(). The default value is NULL.} + +\item{file_object}{An open connection to a NetCDF file, optionally with +additional header information. See details in the documentation of the +parameter 'file_dim_reader' of the function Start(). The default value is +NULL.} + +\item{file_selectors}{A named list containing the information of the path of +the file to read data from. It is automatically provided by Start(). See +details in the documentation of the parameter 'file_dim_reader' of the +function Start(). The default value is NULL.} + +\item{inner_indices}{A named list of numeric vectors indicating the indices +to take from each of the inner dimensions in the requested file. It is +automatically provided by Start(). See details in the documentation of the +parameter 'file_dim_reader' of the function Start(). The default value is +NULL.} + +\item{synonims}{A named list indicating the synonims for the dimension names +to look for in the requested file, exactly as provided in the parameter +'synonims' in a Start() call. See details in the documentation of the +parameter 'file_dim_reader' of the function Start().} } \value{ -Named numeric vector with the names and sizes of the dimensions of the requested file. +A named numeric vector with the names and sizes of the dimensions of + the requested file. } -\author{ -History:\cr -0.0 - 2017-04 (N. Manubens, \email{nicolau.manubens at bsc.es}) - Original code -} -\seealso{ -\code{\link{NcOpener}}, \code{\link{NcCloser}}, \code{\link{NcDataReader}}, \code{\link{NcVarReader}} +\description{ +A dimension reader function for NetCDF files, intended for use as parameter +'file_dim_reader' in a Start() call. It complies with the input/output +interface required by Start() defined in the documentation for the parameter +'file_dim_reader' of that function./cr +This function uses the function NcReadDims() in the package 'easyNCDF'. } \examples{ -## Check https://earth.bsc.es/gitlab/es/startR for step-by-step examples -## of Start() that use NcDimReader(). + data_path <- system.file('sample_data', package = 'startR') + file_to_open <- file.path(data_path, 'obs/monthly_mean/tos/tos_200011.nc') + file_selectors <- c(dat = 'dat1', var = 'tos', sdate = '200011') + first_round_indices <- list(time = 1, latitude = 1:8, longitude = 1:16) + synonims <- list(dat = 'dat', var = 'var', sdate = 'sdate', time = 'time', + latitude = 'latitude', longitude = 'longitude') + dim_of_file <- NcDimReader(file_to_open, NULL, file_selectors, + first_round_indices, synonims) + } -\keyword{IO} -\keyword{array} -\keyword{manip} + diff --git a/man/NcOpener.Rd b/man/NcOpener.Rd index 3c0f875..3ab6764 100644 --- a/man/NcOpener.Rd +++ b/man/NcOpener.Rd @@ -1,33 +1,34 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/NcOpener.R \name{NcOpener} \alias{NcOpener} -\title{NetCDF File Opener for 'startR'} -\description{ -This is a file closer function for NetCDF files, intended for use as parameter \code{file_opener} in a call to the function \code{Start()} in the package 'startR'. This function complies with the input/output interface required by \code{Start()} defined in the documentation for the parameter \code{file_opener} of that function. -\cr\cr -This function uses the function \code{NcOpen()} in the package 'easyNCDF', which in turn uses \code{nc_open()} in the package 'ncdf4'. -} +\title{NetCDF file opener for 'startR'} \usage{ NcOpener(file_path) } \arguments{ - \item{file_path}{ -Character string with the path to the data file to read. See details in the documentation of the parameter \code{file_opener} of the function \code{Start()}. - } +\item{file_path}{A character string indicating the path to the data file to +read. See details in the documentation of the parameter 'file_opener' of the +function Start().} } \value{ -An open connection to a NetCDF file, with additional header information, as returned by \code{nc_open} in the package 'ncdf4'. See details in the documentation of the parameter \code{file_opener} of the function \code{Start()}. +An open connection to a NetCDF file with additional header + information as returned by nc_open() in the package 'ncdf4'. See details in + the documentation of the parameter 'file_opener' of the function Start(). } -\author{ -History:\cr -0.0 - 2017-04 (N. Manubens, \email{nicolau.manubens at bsc.es}) - Original code -} -\seealso{ -\code{\link{NcCloser}}, \code{\link{NcDataReader}}, \code{\link{NcDimReader}}, \code{\link{NcVarReader}} +\description{ +This is a file opener function for NetCDF files, intended for use as parameter +file_opener in a Start() call. This function complies with the input/output +interface required by Start() defined in the documentation for the parameter +'file_opener'.\cr +This function uses the function NcOpen() in the package 'easyNCDF', which in +turn uses nc_open() in the package 'ncdf4'. } \examples{ -## Check https://earth.bsc.es/gitlab/es/startR for step-by-step examples -## of Start() that use NcOpener(). +data_path <- system.file('sample_data', package = 'startR') +path_obs <- file.path(data_path, 'obs/monthly_mean/tos/tos_200011.nc') +connection <- NcOpener(path_obs) +NcCloser(connection) + } -\keyword{IO} -\keyword{array} -\keyword{manip} + diff --git a/man/NcVarReader.Rd b/man/NcVarReader.Rd index c8efec3..9ed22a4 100644 --- a/man/NcVarReader.Rd +++ b/man/NcVarReader.Rd @@ -1,46 +1,57 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/NcVarReader.R \name{NcVarReader} \alias{NcVarReader} -\title{NetCDF Variable Reader for 'startR'} -\description{ -This is an auxiliary variable reader function for NetCDF files, intended for use as parameter \code{file_var_reader} in a call to the function \code{Start()} in the package 'startR'. This function complies with the input/output interface required by \code{Start()} defined in the documentation for the parameter \code{file_var_reader} of that function. -\cr\cr -This function uses the function \code{NcDataReader()} in the package 'startR', which in turn uses \code{NcToArray()} in the package 'easyNCDF', which in turn uses \code{nc_var_get()} in the package 'ncdf4'. -} +\title{NetCDF variable reader for 'startR'} \usage{ -NcVarReader(file_path = NULL, file_object = NULL, file_selectors = NULL, - var_name = NULL, synonims) +NcVarReader(file_path = NULL, file_object = NULL, file_selectors = NULL, + var_name = NULL, synonims) } \arguments{ - \item{file_path}{ -Character string with the path to the data file to read the variable from. See details in the documentation of the parameter \code{file_var_reader} of the function \code{Start()}. - } - \item{file_object}{ -Open connection to a NetCDF file, optionally with additional header information. See details in the documentation of the parameter \code{file_var_reader} of the function \code{Start()}. - } - \item{file_selectors}{ -Information on the path of the file to read data from. See details in the documentation of the parameter \code{file_var_reader} of the function \code{Start()}. - } - \item{var_name}{ -Character string with the name of the variable to be read. - } - \item{synonims}{ -Named list with synonims for the variable names to look for in the requested file, exactly as provided in the parameter \code{synonims} in a call to the function \code{Start()}. See details in the documentation of the parameter \code{file_var_reader} of the function \code{Start()}. - } +\item{file_path}{A character string indicating the path to the data file to +read the variable from. See details in the documentation of the parameter +'file_var_reader' of the function Start(). The default value is NULL.} + +\item{file_object}{An open connection to a NetCDF file, optionally with +additional header information. See details in the documentation of the +parameter 'file_var_reader' of the function Start(). The default value is +NULL.} + +\item{file_selectors}{A named list containing the information of the path of +the file to read data from. It is automatically provided by Start(). See +details in the documentation of the parameter 'file_var_reader' of the +function Start(). The default value is NULL.} + +\item{var_name}{A character string with the name of the variable to be read. +The default value is NULL.} + +\item{synonims}{A named list indicating the synonims for the dimension names +to look for in the requested file, exactly as provided in the parameter +'synonims' in a Start() call. See details in the documentation of the +parameter 'file_var_reader' of the function Start().} } \value{ -A multidimensional data array with the named dimensions, potentially with the attribute 'variables' with additional auxiliary data. See details in the documentation of the parameter \code{file_var_reader} of the function \code{Start()}. +A multidimensional data array with the named dimensions, potentially + with the attribute 'variables' with additional auxiliary data. See details + in the documentation of the parameter 'file_var_reader' of the function + Start(). } -\author{ -History:\cr -0.0 - 2017-04 (N. Manubens, \email{nicolau.manubens at bsc.es}) - Original code -} -\seealso{ -\code{\link{NcOpener}}, \code{\link{NcCloser}}, \code{\link{NcDataReader}}, \code{\link{NcDimReader}} +\description{ +This is an auxiliary variable reader function for NetCDF files, intended for +use as parameter 'file_var_reader' in a Start() call. It complies with the +input/output interface required by Start() defined in the documentation for +the parameter 'file_var_reader' of that function.\cr +This function uses the function NcDataReader() in the package 'startR', +which in turn uses NcToArray() in the package 'easyNCDF', which in turn uses +nc_var_get() in the package 'ncdf4'. } \examples{ -## Check https://earth.bsc.es/gitlab/es/startR for step-by-step examples -## of Start() that use NcVarReader(). + data_path <- system.file('sample_data', package = 'startR') + file_to_open <- file.path(data_path, 'obs/monthly_mean/tos/tos_200011.nc') + file_selectors <- c(dat = 'dat1', var = 'tos', sdate = '200011') + synonims <- list(dat = 'dat', var = 'var', sdate = 'sdate', time = 'time', + latitude = 'latitude', longitude = 'longitude') + var <- NcDataReader(file_to_open, NULL, file_selectors, + 'tos', synonims) } -\keyword{IO} -\keyword{array} -\keyword{manip} + diff --git a/man/SelectorChecker.Rd b/man/SelectorChecker.Rd index 2700782..6bbe17a 100644 --- a/man/SelectorChecker.Rd +++ b/man/SelectorChecker.Rd @@ -1,37 +1,53 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/SelectorChecker.R \name{SelectorChecker} \alias{SelectorChecker} -\title{Default Selector Checker for 'startR'} -\description{ -This is a selector checker function intended for use as parameter \code{selector_checker} in a call to the function \code{Start()} in the package 'startR'. This function complies with the input/output interface required by \code{Start()} defined in the documentation for the parameter \code{selector_checker} of that function. -} +\title{Translate a set of selectors into a set of numeric indices} \usage{ -SelectorChecker(selectors, var = NULL, return_indices = TRUE, tolerance = NULL) +SelectorChecker(selectors, var = NULL, return_indices = TRUE, + tolerance = NULL) } \arguments{ - \item{selectors}{ -Numeric indices or variable values to be retrieved for a dimension, automatically provided by \code{Start()}. See details in the documentation of the parameters \code{selector_checker} and \dots of the function \code{Start()}. The indices or values can be provided in the form of a vector or in the form of a list with two elements. - } - \item{var}{ -Vector of values of a coordinate variable where to search matches with the provided indices or values in the parameter \code{selectors}, automatically provided by \code{Start()}. See details in the documentation of the parameters \code{selector_checker} and \dots of the function \code{Start()}. The parameter \code{var} is optional. When not specified, \code{SelectorChecker} simply returns the input indices. - } - \item{return_indices}{ -Boolean flag, automatically configured by \code{Start()}, telling whether to return numeric indices or coordinate variable values after doing the matching. - } - \item{tolerance}{ -Numeric value with a tolerance value to be used in the matching of the \code{selectors} and \code{var}. See documentation on \code{_tolerance} in \dots, in the documentation of the function \code{Start()}. - } +\item{selectors}{A vector or a list of two of numeric indices or variable +values to be retrieved for a dimension, automatically provided by Start(). +See details in the documentation of the parameters 'selector_checker' and +{\dots} of the function Start().} + +\item{var}{A vector of values of a coordinate variable for which to search +matches with the provided indices or values in the parameter 'selectors', +automatically provided by Start(). See details in the documentation of the +parameters 'selector_checker' and {\dots} of the function Start(). The +default value is NULL. When not specified, SelectorChecker() simply returns +the input indices.} + +\item{return_indices}{A logical value automatically configured by Start(), +telling whether to return the numeric indices or coordinate variable values +after the matching. The default value is TRUE.} + +\item{tolerance}{A numeric value indicating a tolerance value to be used in +the matching of 'selectors' and 'var'. See documentation on +_tolerance in {\dots} in the documentation of the function Start(). +The default value is NULL.} } \value{ -A vector of either the indices of the matching values (if \code{return_indices = TRUE}) or the matching values themselves (if \code{return_indices = FALSE}). +A vector of either the indices of the matching values (if + return_indices = TRUE) or the matching values themselves (if return_indices + = FALSE). } -\author{ -History:\cr -0.0 - 2017-04 (N. Manubens, \email{nicolau.manubens at bsc.es}) - Original code +\description{ +This is a selector checker function intended for use as parameter +'selector_checker' in a Start() call. It translates a set of selectors which is +the value for one dimension into a set of numeric indices corresponding to the +coordinate variable. The function complies with the input/output interface +required by Start() defined in the documentation for the parameter +'selector_checker' of Start(). } \examples{ -## Check https://earth.bsc.es/gitlab/es/startR for step-by-step examples -## of Start() that use SelectorChecker(). +# Get the latitudes from 10 to 20 degree +sub_array_of_selectors <- list(10, 20) +# The latitude values from original file +sub_array_of_values <- seq(90, -90, length.out = 258)[2:257] +SelectorChecker(sub_array_of_selectors, sub_array_of_values) + } -\keyword{IO} -\keyword{array} -\keyword{manip} + diff --git a/man/Start.Rd b/man/Start.Rd index 52317d3..fd8c3db 100644 --- a/man/Start.Rd +++ b/man/Start.Rd @@ -1,68 +1,381 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/Start.R \name{Start} \alias{Start} -\title{Declare, Discover, Subset and Retrieve Multidimensional Distributed Data Sets} -\description{ -See the \href{https://earth.bsc.es/gitlab/es/startR}{\code{startR} documentation and tutorial} for a step-by-step explanation on how to use \code{Start()}. -\cr\cr -Nowadays in the era of Big Data, large multidimensional data sets from diverse sources need to be combined and processed. Analysis of Big Data in any field is often highly complex and time-consuming. Taking subsets of these datasets (Divide) and processing them efficiently (and Conquer) becomes an indispensable practice. This technique is also known as Domain Decomposition, Map Reduce or, more commonly, 'chunking'. -\cr\cr -\code{startR} (Subset, TrAnsform, ReTrieve, arrange and process large multidimensional data sets in R) is an R project started at BSC with the aim to develop a tool that allows the user to automatically process large multidimensional distributed data sets. It is an open source project that is open to external collaboration and funding, and will continuously evolve to support as many data set formats as possible while maximizing its efficiency. -\cr\cr -\code{startR} provides a framework under which a data set (collection of one or multiple data files, potentially distributed over various remote servers) are perceived as if they all were part of a single large multidimensional array. Once such multidimensional array is declared, any user-defined function can be applied to the data in a \code{apply}-like fashion, where \code{startR} transparently implements the Map Reduce paradigm. The steps to follow in order to process a collection of Big Data sets are as follows: -\cr\cr +\title{Declare, discover, subset and retrieve multidimensional distributed data sets} +\usage{ +Start(..., return_vars = NULL, synonims = NULL, file_opener = NcOpener, + file_var_reader = NcVarReader, file_dim_reader = NcDimReader, + file_data_reader = NcDataReader, file_closer = NcCloser, + transform = NULL, transform_params = NULL, transform_vars = NULL, + transform_extra_cells = 2, apply_indices_after_transform = FALSE, + pattern_dims = NULL, metadata_dims = NULL, + selector_checker = SelectorChecker, merge_across_dims = FALSE, + merge_across_dims_narm = FALSE, split_multiselected_dims = FALSE, + path_glob_permissive = FALSE, retrieve = FALSE, num_procs = 1, + silent = FALSE, debug = FALSE) +} +\arguments{ +\item{return_vars}{A named list where the names are the names of the +variables to be fetched in the files, and the values are vectors of +character strings with the names of the file dimension which to retrieve each +variable for, or \code{NULL} if the variable has to be retrieved only once +from any (the first) of the involved files.\cr\cr +Apart from retrieving a multidimensional data array, retrieving auxiliary +variables inside the files can also be needed. The parameter +\code{return_vars} allows for requesting such variables, as long as a +\code{file_var_reader} function is also specified in the call to +\code{Start()} (see documentation on the corresponding parameter). +\cr\cr +In the case of the the item sales example (see documentation on parameter +\code{\dots)}, the store location variable is requested with the parameter +\code{return_vars = list(store_location = NULL)}. This will cause +\code{Start()} to fetch once the variable 'store_location' and return it in +the component \code{$Variables$common$store_location}, and will be an array +of character strings with the location names, with the dimensions +\code{c('store' = 100)}. Although useless in this example, we could ask +\code{Start()} to fetch and return such variable for each file along the +items dimension as follows: \cr +\code{return_vars = list(store_location = c('item'))}. In that case, the +variable will be fetched once from a file of each of the items, and will be +returned as an array with the dimensions \code{c('item' = 3, 'store' = 100)}. +\cr\cr +If a variable is requested along a file dimension that contains path pattern +specifications ('source' in the example), the fetched variable values will be +returned in the component \code{$Variables$$}. +For example: \cr -\itemize{ - \item{ -Declaring the data set, i.e. declaring the distribution of the data files involved, the dimensions and shape of the multidimensional array, and the boundaries of the tatget data. Numeric indices or coordinate values can be used when fixing the boundaries. Once a data set is declared, a list of involved files, dimension lengths, memory size and other metadata is made available. Optionally, the data set can be retrieved and loaded onto the current R session if it is small enough. This step can be performed with the \code{Start()} function. - } - \item{ -Declaring the workflow of operations to perform on the involved data set(s). This step can be performed with the \code{Step()} and \code{AddStep()} functions. - } - \item{ -Defining the computation settings. The mandatory settings include a) how many subsets to divide the data sets into and along which dimensions; b) which platform to perform the workflow of operations on (local machine, remote machine, remote HPC?), how to communicate with it (unidirectional or bidirectional connection? shared or separate file systems?), which queuing system it uses (slurm, PBS, LSF, none?); and c) how many parallel jobs and execution threads per job to use when running the calculations. This step can be performed when building up the call to the \code{Compute()} function. - } - \item{ -Running the computation. startR transparently implements the Map Reduce paradigm, according to the settings in the previous steps. The progress can optionally be monitored with the EC-Flow workflow management tool. When the computation ends, a report of performance timings is displayed. This step can be triggered with the \code{Compute()} function. - } +\command{ +\cr # data <- Start(source = list( +\cr # list(name = 'sourceA', +\cr # path = paste0('/sourceA/$variable$/', +\cr # '$section$/$item$.data')), +\cr # list(name = 'sourceB', +\cr # path = paste0('/sourceB/$section$/', +\cr # '$variable$/$item$.data')) +\cr # ), +\cr # variable = 'sales', +\cr # section = 'first', +\cr # item = indices(c(1, 3)), +\cr # item_depends = 'section', +\cr # store = 'Barcelona', +\cr # store_var = 'store_location', +\cr # month = 'all', +\cr # return_vars = list(store_location = c('source', +\cr # 'item'))) +\cr # # Checking the structure of the returned variables +\cr # str(found_data$Variables) +\cr # Named list +\cr # ..$common: NULL +\cr # ..$sourceA: Named list +\cr # .. ..$store_location: char[1:18(3d)] 'Barcelona' 'Barcelona' ... +\cr # ..$sourceB: Named list +\cr # .. ..$store_location: char[1:18(3d)] 'Barcelona' 'Barcelona' ... +\cr # # Checking the dimensions of the returned variable +\cr # # for the source A +\cr # dim(found_data$Variables$sourceA) +\cr # item store +\cr # 3 3 } -\code{startR} is not bound to a specific file format. Interface functions to custom file formats can be provided for \code{Start()} to read them. As of April 2017 \code{startR} includes interface functions to the following file formats: \cr\cr +The names of the requested variables do not necessarily have to match the +actual variable names inside the files. A list of alternative names to be +seeked can be specified via the parameter \code{synonims}.} + +\item{synonims}{A named list where the names are the requested variable or +dimension names, and the values are vectors of character strings with +alternative names to seek for such dimension or variable.\cr\cr +In some requests, data from different sources may follow different naming +conventions for the dimensions or variables, or even files in the same source +could have varying names. This parameter is in order for \code{Start()} to +properly identify the dimensions or variables with different names. +\cr\cr +In the example used in parameter \code{return_vars}, it may be the case that +the two involved data sources follow slightly different naming conventions. +For example, source A uses 'sect' as name for the sections dimension, whereas +source B uses 'section'; source A uses 'store_loc' as variable name for the +store locations, whereas source B uses 'store_location'. This can be taken +into account as follows: \cr -\itemize{ - \item{ -NetCDF - } -} -} -\usage{ -Start(..., - return_vars = NULL, - synonims = NULL, - file_opener = NcOpener, - file_var_reader = NcVarReader, - file_dim_reader = NcDimReader, - file_data_reader = NcDataReader, - file_closer = NcCloser, - transform = NULL, - transform_params = NULL, - transform_vars = NULL, - transform_extra_cells = 0, - apply_indices_after_transform = FALSE, - pattern_dims = NULL, - metadata_dims = NULL, - selector_checker = SelectorChecker, - merge_across_dims = FALSE, - split_multiselected_dims = FALSE, - path_glob_permissive = FALSE, - retrieve = FALSE, - num_procs = 1, - silent = FALSE, - debug = FALSE) +\command{ +\cr # data <- Start(source = list( +\cr # list(name = 'sourceA', +\cr # path = paste0('/sourceA/$variable$/', +\cr # '$section$/$item$.data')), +\cr # list(name = 'sourceB', +\cr # path = paste0('/sourceB/$section$/', +\cr # '$variable$/$item$.data')) +\cr # ), +\cr # variable = 'sales', +\cr # section = 'first', +\cr # item = indices(c(1, 3)), +\cr # item_depends = 'section', +\cr # store = 'Barcelona', +\cr # store_var = 'store_location', +\cr # month = 'all', +\cr # return_vars = list(store_location = c('source', +\cr # 'item')), +\cr # synonims = list( +\cr # section = c('sec', 'section'), +\cr # store_location = c('store_loc', +\cr # 'store_location') +\cr # )) } -\arguments{ - \item{\dots}{ -When willing to retrieve data from one or a collection of data sets, the involved data can be perceived as belonging to a large multi-dimensional array. For instance, let us consider an example case. We want to retrieve data from a source, which contains data for the number of monthly sales of various items, and also for their retail price each month. The data on source is stored as follows: -\cr +\cr} + +\item{file_opener}{A function that receives as a single parameter + (\code{file_path}) a character string with the path to a file to be opened, + and returns an object with an open connection to the file (optionally with + header information) on success, or returns \code{NULL} on failure. +\cr\cr +This parameter takes by default \code{NcOpener} (an opener function for NetCDF +files). +\cr\cr +See \code{NcOpener} for a template to build a file opener for your own file +format.} + +\item{file_var_reader}{A function with the header \code{file_path = NULL}, + \code{file_object = NULL}, \code{file_selectors = NULL}, \code{var_name}, + \code{synonims} that returns an array with auxiliary data (i.e. data from a + variable) inside a file. \code{Start()} will provide automatically either a + \code{file_path} or a \code{file_object} to the \code{file_var_reader} + function (the function has to be ready to work whichever of these two is + provided). The parameter \code{file_selectors} will also be provided + automatically to the variable reader, containing a named list where the + names are the names of the file dimensions of the queried data set (see + documentation on \dots) and the values are single character strings with the + components used to build the path to the file being read (the one provided + in \code{file_path} or \code{file_object}). The parameter \code{var_name} + will be filled in automatically by \code{Start()} also, with the name of one + of the variales to be read. The parameter \code{synonims} will be filled in + with exactly the same value as provided in the parameter \code{synonims} in + the call to \code{Start()}, and has to be used in the code of the variable + reader to check for alternative variable names inside the target file. The + \code{file_var_reader} must return a (multi)dimensional array with named + dimensions, and optionally with the attribute 'variales' with other + additional metadata on the retrieved variable. +\cr\cr +Usually, the \code{file_var_reader} should be a degenerate case of the +\code{file_data_reader} (see documentation on the corresponding parameter), +so it is recommended to code the \code{file_data_reder} in first place. +\cr\cr +This parameter takes by default \code{NcVarReader} (a variable reader function +for NetCDF files). +\cr\cr +See \code{NcVarReader} for a template to build a variale reader for your own +file format.} + +\item{file_dim_reader}{A function with the header \code{file_path = NULL}, + \code{file_object = NULL}, \code{file_selectors = NULL}, \code{synonims} + that returns a named numeric vector where the names are the names of the + dimensions of the multidimensional data array in the file and the values are + the sizes of such dimensions. \code{Start()} will provide automatically + either a \code{file_path} or a \code{file_object} to the + \code{file_dim_reader} function (the function has to be ready to work + whichever of these two is provided). The parameter \code{file_selectors} + will also be provided automatically to the dimension reader, containing a + named list where the names are the names of the file dimensions of the + queried data set (see documentation on \dots) and the values are single + character strings with the components used to build the path to the file + being read (the one provided in \code{file_path} or \code{file_object}). + The parameter \code{synonims} will be filled in with exactly the same value + as provided in the parameter \code{synonims} in the call to \code{Start()}, + and can optionally be used in advanced configurations. +\cr\cr +This parameter takes by default \code{NcDimReader} (a dimension reader +function for NetCDF files). +\cr\cr +See \code{NcDimReader} for (an advanced) template to build a dimension reader +for your own file format.} + +\item{file_data_reader}{A function with the header \code{file_path = NULL}, + \code{file_object = NULL}, \code{file_selectors = NULL}, + \code{inner_indices = NULL}, \code{synonims} that returns a subset of the + multidimensional data array inside a file (even if internally it is not an + array). \code{Start()} will provide automatically either a \code{file_path} + or a \code{file_object} to the \code{file_data_reader} function (the + function has to be ready to work whichever of these two is provided). The + parameter \code{file_selectors} will also be provided automatically to the + data reader, containing a named list where the names are the names of the + file dimensions of the queried data set (see documentation on \dots) and the + values are single character strings with the components used to build the + path to the file being read (the one provided in \code{file_path} or + \code{file_object}). The parameter \code{inner_indices} will be filled in + automatically by \code{Start()} also, with a named list of numeric vectors, + where the names are the names of all the expected inner dimensions in a file + to be read, and the numeric vectors are the indices to be taken from the + corresponding dimension (the indices may not be consecutive nor in order). + The parameter \code{synonims} will be filled in with exactly the same value + as provided in the parameter \code{synonims} in the call to \code{Start()}, + and has to be used in the code of the data reader to check for alternative + dimension names inside the target file. The \code{file_data_reader} must + return a (multi)dimensional array with named dimensions, and optionally with + the attribute 'variales' with other additional metadata on the retrieved + data. +\cr\cr +Usually, the \code{file_data_reader} should use the \code{file_dim_reader} +(see documentation on the corresponding parameter), so it is recommended to +code the \code{file_dim_reder} in first place. +\cr\cr +This parameter takes by default \code{NcDataReader} (a data reader function +for NetCDF files). +\cr\cr +See \code{NcDataReader} for a template to build a data reader for your own +file format.} + +\item{file_closer}{A function that receives as a single parameter + (\code{file_object}) an open connection (as returned by \code{file_opener}) + to one of the files to be read, optionally with header information, and + closes the open connection. Always returns \code{NULL}. +\cr\cr +This parameter takes by default \code{NcCloser} (a closer function for NetCDF +files). +\cr\cr +See \code{NcCloser} for a template to build a file closer for your own file +format.} + +\item{transform}{A function with the header \code{dara_array}, +\code{variables}, \code{file_selectors = NULL}, \code{\dots}. It receives as +input, through the parameter \code{data_array}, a subset of a +multidimensional array (as returned by \code{file_data_reader}), applies a +transformation to it and returns it, preserving the amount of dimensions but +potentially modifying their size. This transformation may require data from +other auxiliary variables, automatically provided to \code{transform} +through the parameter \code{variables}, in the form of a named list where +the names are the variable names and the values are (multi)dimensional +arrays. Which variables need to be sent to \code{transform} can be specified +with the parameter \code{transform_vars} in \code{Start()}. The parameter +\code{file_selectors} will also be provided automatically to +\code{transform}, containing a named list where the names are the names of +the file dimensions of the queried data set (see documentation on \dots) and +the values are single character strings with the components used to build +the path to the file the subset being processed belongs to. The parameter +\dots will be filled in with other additional parameters to adjust the +transformation, exactly as provided in the call to \code{Start()} via the +parameter \code{transform_params}.} + +\item{transform_params}{A named list with additional parameters to be sent to +the \code{transform} function (if specified). See documentation on +\code{transform} for details.} + +\item{transform_vars}{A vector of character strings with the names of +auxiliary variables to be sent to the \code{transform} function (if +specified). All the variables to be sent to \code{transform} must also +have been requested as return variables in the parameter \code{return_vars} +of \code{Start()}.} + +\item{transform_extra_cells}{An integer of extra indices to retrieve from the +data set, beyond the requested indices in \dots, in order for +\code{transform} to dispose of additional information to properly apply +whichever transformation (if needed). As many as +\code{transform_extra_cells} will be retrieved beyond each of the limits for +each of those inner dimensions associated to a coordinate variable and sent +to \code{transform} (i.e. present in \code{transform_vars}). After +\code{transform} has finished, \code{Start()} will take again and return a +subset of the result, for the returned data to fall within the specified +bounds in \dots. The default value is 2.} + +\item{apply_indices_after_transform}{A logical value indicating when a +\code{transform} is specified in \code{Start()} and numeric indices are +provided for any of the inner dimensions that depend on coordinate variables, +these numeric indices can be made effective (retrieved) before applying the +transformation or after. The boolean flag allows to adjust this behaviour. +It takes \code{FALSE} by default (numeric indices are applied before sending +data to \code{transform}).} + +\item{pattern_dims}{A character string indicating the name of the dimension +with path pattern specifications (see \dots for details). If not specified, +\code{Start()} assumes the first provided dimension is the pattern +dimension, with a warning.} + +\item{metadata_dims}{A vector of character strings with the names of the file +dimensions which to return metadata for. As noted in \code{file_data_reader}, +the data reader can optionally return auxiliary data via the attribute +'variables' of the returned array. \code{Start()} by default returns the +auxiliary data read for only the first file of each source (or data set) in +the pattern dimension (see \dots for info on what the pattern dimension is). +However it can be configured to return the metadata for all the files along +any set of file dimensions. The parameter \code{metadata_dims} allows to +configure this level of granularity of the returned metadata.} + +\item{selector_checker}{A function used internaly by \code{Start()} to +translate a set of selectors (values for a dimension associated to a +coordinate variable) into a set of numeric indices. It takes by default +\code{SelectorChecker} and, in principle, it should not be required to +change it for customized file formats. The option to replace it is left open +for more versatility. See the code of \code{SelectorChecker} for details on +the inputs, functioning and outputs of a selector checker.} + +\item{merge_across_dims}{A logical value indicating whether to merge +dimensions across which another dimension extends (according to the +\code{*_across} parameters). Takes the value \code{FALSE} by default. For +example, if the dimension 'time' extends across the dimension 'chunk' and +\code{merge_across_dims = TRUE}, the resulting data array will only contain +only the dimension 'time' as long as all the chunks together.} + +\item{split_multiselected_dims}{A logical value indicating whether to split a +dimension that has been selected with a multidimensional array of selectors +into as many dimensions as present in the selector array. The default value +is FALSE.} + +\item{path_glob_permissive}{A logical value or an integer specifying how many + folder levels in the path pattern, beginning from the end, the shell glob + expressions must be preserved and worked out for each file. The default + value is \code{FALSE}, which is equivalent to \code{0}. \code{TRUE} is + equivalent to \code{1}.\cr\cr +When specifying a path pattern for a dataset, it might contain shell glob +experissions. For each dataset, the first file matching the path pattern is +found, and the found file is used to work out fixed values for the glob +expressions that will be used for all the files of the dataset. However in +some cases the values of the shell glob expressions may not be constant for +all files in a dataset, and they need to be worked out for each file +involved.\cr\cr +For example, a path pattern could be as follows: +\code{'/path/to/dataset/$var$_*/$date$_*_foo.nc'}. Leaving +\code{path_glob_permissive = FALSE} will trigger automatic seek of the + contents to replace the asterisks (e.g. the first asterisk matches with + \code{'bar'} and the second with \code{'baz'}. The found contents will be + used for all files in the dataset (in the example, the path pattern will be + fixed to \code{'/path/to/dataset/$var$_bar/$date$_baz_foo.nc'}. However, if + any of the files in the dataset have other contents in the position of the + asterisks, \code{Start()} will not find them (in the example, a file like + \code{'/path/to/dataset/precipitation_bar/19901101_bin_foo.nc'} would not be + found). Setting \code{path_glob_permissive = 1} would preserve global + expressions in the latest level (in the example, the fixed path pattern + would be \code{'/path/to/dataset/$var$_bar/$date$_*_foo.nc'}, and the + problematic file mentioned before would be found), but of course this would + slow down the \code{Start()} call if the dataset involves a large number of + files. Setting \code{path_glob_permissive = 2} would leave the original path + pattern with the original glob expressions in the 1st and 2nd levels (in the + example, both asterisks would be preserved, thus would allow \code{Start()} + to recognize files such as + \code{'/path/to/dataset/precipitation_zzz/19901101_yyy_foo.nc'}).} + +\item{retrieve}{A logical value indicating whether to retrieve the data +defined in the \code{Start} call or to explore only its dimension lengths +and names, and the values for the file and inner dimensions. The default +value is FALSE.} + +\item{num_procs}{An integer of number of processes to be created for the +parallel execution of the retrieval / transformation / arrangement of the +multiple involved files in a call to \code{Start()}. If set to \code{NULL}, +takes the number of available cores (as detected by \code{detectCores()} in +the package 'future'). The default value is 1 (no parallel execution).} + +\item{silent}{A logical value of whether to display progress messages (FALSE) +or not (TRUE). The default value is FALSE.} + +\item{debug}{A logical value of whether to return detailed messages on the +progress and operations in a \code{Start} call (TRUE) or not (FALSE). The +default value is FALSE.} + +\item{{\dots}}{A selection of custemized parameters depending on the data +format. When we retrieve data from one or a collection of data sets, +the involved data can be perceived as belonging to a large multi-dimensional +array. For instance, let us consider an example case. We want to retrieve data +from a source, which contains data for the number of monthly sales of various +items, and also for their retail price each month. The data on source is +stored as follows:\cr \command{ \cr # /data/ \cr # |-> sales/ @@ -83,41 +396,55 @@ When willing to retrieve data from one or a collection of data sets, the involve \cr # |-> item_d.data \cr # |-> item_e.data \cr # |-> item_f.data -} -\cr\cr -Each item file contains data, stored in whichever format, for the sales or prices over a time period, e.g. for the past 24 months, registered at 100 different stores over the world. Whichever the format it is stored in, each file can be perceived as a container of a data array of 2 dimensions, time and store. Let us assume the '.data' format allows to keep a name for each of these dimensions, and the actual names are 'time' and 'store'. -\cr\cr -The different item files for sales or prices can be perceived as belonging to an 'item' dimension of length 3, and the two groups of three items to a 'section' dimension of length 2, and the two groups of two sections (one with the sales and the other with the prices) can be perceived as belonging also to another dimension 'variable' of length 2. Even the source can be perceived as belonging to a dimension 'source' of length 1. -\cr\cr -All in all, in this example, the whole data could be perceived as belonging to a multidimensional 'large array' of dimensions -\cr +}\cr\cr +Each item file contains data, stored in whichever format, for the sales or +prices over a time period, e.g. for the past 24 months, registered at 100 +different stores over the world. Whichever the format it is stored in, each +file can be perceived as a container of a data array of 2 dimensions, time and +store. Let us assume the '.data' format allows to keep a name for each of +these dimensions, and the actual names are 'time' and 'store'.\cr\cr +The different item files for sales or prices can be perceived as belonging to +an 'item' dimension of length 3, and the two groups of three items to a +'section' dimension of length 2, and the two groups of two sections (one with +the sales and the other with the prices) can be perceived as belonging also to +another dimension 'variable' of length 2. Even the source can be perceived as +belonging to a dimension 'source' of length 1.\cr\cr +All in all, in this example, the whole data could be perceived as belonging to +a multidimensional 'large array' of dimensions\cr \command{ \cr # source variable section item store month \cr # 1 2 2 3 100 24 } \cr\cr -The dimensions of this 'large array' can be classified in two types. The ones that group actual files (the file dimensions) and the ones that group data values inside the files (the inner dimensions). In the example, the file dimensions are 'source', 'variable', 'section' and 'item', whereas the inner dimensions are 'store' and 'month'. -\cr\cr -Having the dimensions of our target sources in mind, the parameter \dots expects to receive information on: - \itemize{ - \item{ -The names of the expected dimensions of the 'large dataset' we want to retrieve data from - } - \item{ +The dimensions of this 'large array' can be classified in two types. The ones +that group actual files (the file dimensions) and the ones that group data +values inside the files (the inner dimensions). In the example, the file +dimensions are 'source', 'variable', 'section' and 'item', whereas the inner +dimensions are 'store' and 'month'. +\cr\cr +Having the dimensions of our target sources in mind, the parameter \dots +expects to receive information on: + \itemize{ + \item{ +The names of the expected dimensions of the 'large dataset' we want to +retrieve data from + } + \item{ The indices to take from each dimension (and other constraints) - } - \item{ + } + \item{ How to reorder the dimension if needed - } - \item{ + } + \item{ The location and organization of the files of the data sets - } - } -For each dimension, the 3 first information items can be specified with a set of parameters to be provided through \dots. For a given dimension 'dimname', six parameters can be specified: -\cr + } + } +For each dimension, the 3 first information items can be specified with a set +of parameters to be provided through \dots. For a given dimension 'dimname', +six parameters can be specified:\cr \command{ \cr # dimname = , # 'all' / 'first' / 'last' / -\cr # # indices(c(1, 10, 20)) / +\cr # # indices(c(1, 10, 20)) / \cr # # indices(c(1:20)) / \cr # # indices(list(1, 20)) / \cr # # c(1, 10, 20) / c(1:20) / @@ -129,23 +456,92 @@ For each dimension, the 3 first information items can be specified with a set of \cr # dimname_across = } \cr\cr -The \bold{indices to take} can be specified in three possible formats (see code comments above for examples). The first format consists in using character tags, such as 'all' (take all the indices available for that dimension), 'first' (take only the first) and 'last' (only the last). The second format consists in using numeric indices, which have to be wrapped in a call to the \code{indices()} helper function. For the second format, either a vector of numeric indices can be provided, or a list with two numeric indices can be provided to take all the indices in the range between the two specified indices (both extremes inclusive). The third format consists in providing a vector character strings (for file dimensions) or of values of whichever type (for inner dimensions). For the file dimensions, the provided character strings in the third format will be used as components to build up the final path to the files (read further). For inner dimensions, the provided values in the third format will be compared to the values of an associated coordinate variable (must be specified in \code{dimname_reorder}, read further), and the indices of the closest values will be retrieved. When using the third format, a list with two values can also be provided to take all the indices of the values within the specified range. -\cr\cr -The \bold{name of the associated coordinate variable} must be a character string with the name of an associated coordinate variable to be found in the data files (in all* of them). For this to work, a \code{file_var_reader} function must be specified when calling \code{Start()} (see parameter 'file_var_reader'). The coordinate variable must also be requested in the parameter \code{return_vars} (see its section for details). This feature only works for inner dimensions. -\cr\cr -The \bold{tolerance value} is useful when indices for an inner dimension are specified in the third format (values of whichever type). In that case, the indices of the closest values in the coordinate variable are seeked. However the closest value might be too distant and we would want to consider no real match exists for such provided value. This is possible via the tolerance. which allows to specify a threshold beyond which not to seek for matching values and mark that index as missing value. -\cr\cr -The \bold{reorder_function} is useful when indices for an inner dimension are specified in the third fromat, and the retrieved indices need to be reordered in function of their provided associated variable values. A function can be provided, which receives as input a vector of values, and returns as outputs a list with the components \code{x} with the reordered values, and \code{ix} with the permutation indices. Two reordering functions are included in \code{startR}, the \code{Sort()} and the \code{CircularSort()}. -\cr\cr -The \bold{name of another dimension} to be specified in \code{dimname_depends}, only available for file dimensions, must be a character string with the name of another requested \bold{file dimension} in \dots, and will make \code{Start()} aware that the path components of a file dimension can vary in function of the path component of another file dimension. For instance, in the example above, specifying \code{item_depends = 'section'} will make \code{Start()} aware that the item names vary in function of the section, i.e. section 'electronics' has items 'a', 'b' and 'c' but section 'clothing' has items 'd', 'e', 'f'. Otherwise \code{Start()} would expect to find the same item names in all the sections. -\cr\cr -The \bold{name of another dimension} to be specified in \code{dimname_across}, only available for inner dimensions, must be a character string with the name of another requested \bold{inner dimension} in \dots, and will make \code{Start()} aware that an inner dimension extends along multiple files. For instance, let us imagine that in the example above, the records for each item are so large that it becomes necessary to split them in multiple files each one containing the registers for a different period of time, e.g. in 10 files with 100 months each ('item_a_period1.data', 'item_a_period2.data', and so on). In that case, the data can be perceived as having an extra file dimension, the 'period' dimension. The inner dimension 'month' would extend across multiple files, and providing the parameter \code{month = indices(1, 300)} would make \code{Start()} crash because it would perceive we have made a request out of bounds (each file contains 100 'month' indices, but we requested 1 to 300). This can be solved by specifying the parameter \code{month_across = period} (along with the full specification of the dimension 'period'). +The \bold{indices to take} can be specified in three possible formats (see +code comments above for examples). The first format consists in using +character tags, such as 'all' (take all the indices available for that +dimension), 'first' (take only the first) and 'last' (only the last). The +second format consists in using numeric indices, which have to be wrapped in a +call to the \code{indices()} helper function. For the second format, either a +vector of numeric indices can be provided, or a list with two numeric indices +can be provided to take all the indices in the range between the two specified +indices (both extremes inclusive). The third format consists in providing a +vector character strings (for file dimensions) or of values of whichever type +(for inner dimensions). For the file dimensions, the provided character +strings in the third format will be used as components to build up the final +path to the files (read further). For inner dimensions, the provided values in +the third format will be compared to the values of an associated coordinate +variable (must be specified in \code{dimname_reorder}, read further), and the +indices of the closest values will be retrieved. When using the third format, +a list with two values can also be provided to take all the indices of the +values within the specified range. +\cr\cr +The \bold{name of the associated coordinate variable} must be a character +string with the name of an associated coordinate variable to be found in the +data files (in all* of them). For this to work, a \code{file_var_reader} +function must be specified when calling \code{Start()} (see parameter +'file_var_reader'). The coordinate variable must also be requested in the +parameter \code{return_vars} (see its section for details). This feature only +works for inner dimensions. +\cr\cr +The \bold{tolerance value} is useful when indices for an inner dimension are +specified in the third format (values of whichever type). In that case, the +indices of the closest values in the coordinate variable are seeked. However +the closest value might be too distant and we would want to consider no real +match exists for such provided value. This is possible via the tolerance, +which allows to specify a threshold beyond which not to seek for matching +values and mark that index as missing value. +\cr\cr +The \bold{reorder_function} is useful when indices for an inner dimension are +specified in the third fromat, and the retrieved indices need to be reordered +in function of their provided associated variable values. A function can be +provided, which receives as input a vector of values, and returns as outputs a +list with the components \code{x} with the reordered values, and \code{ix} +with the permutation indices. Two reordering functions are included in +\code{startR}, the \code{Sort()} and the \code{CircularSort()}. +\cr\cr +The \bold{name of another dimension} to be specified in \code{dimname_depends}, +only available for file dimensions, must be a character string with the name +of another requested \bold{file dimension} in \dots, and will make +\code{Start()} aware that the path components of a file dimension can vary in +function of the path component of another file dimension. For instance, in the +example above, specifying \code{item_depends = 'section'} will make +\code{Start()} aware that the item names vary in function of the section, i.e. +section 'electronics' has items 'a', 'b' and 'c' but section 'clothing' has +items 'd', 'e', 'f'. Otherwise \code{Start()} would expect to find the same +item names in all the sections. +\cr\cr +The \bold{name of another dimension} to be specified in \code{dimname_across}, +only available for inner dimensions, must be a character string with the name +of another requested \bold{inner dimension} in \dots, and will make +\code{Start()} aware that an inner dimension extends along multiple files. For +instance, let us imagine that in the example above, the records for each item +are so large that it becomes necessary to split them in multiple files each +one containing the registers for a different period of time, e.g. in 10 files +with 100 months each ('item_a_period1.data', 'item_a_period2.data', and so on). +In that case, the data can be perceived as having an extra file dimension, the#''period' dimension. The inner dimension 'month' would extend across multiple +files, and providing the parameter \code{month = indices(1, 300)} would make +\code{Start()} crash because it would perceive we have made a request out of +bounds (each file contains 100 'month' indices, but we requested 1 to 300). +This can be solved by specifying the parameter \code{month_across = period} (a +long with the full specification of the dimension 'period'). \cr\cr \bold{Defining the path pattern} \cr -As mentioned above, the parameter \dots also expects to receive information with the location of the data files. In order to do this, a special dimension must be defined. In that special dimension, in place of specifying indices to take, a path pattern must be provided. The path pattern is a character string that encodes the way the files are organized in their source. It must be a path to one of the data set files in an accessible local or remote file system, or a URL to one of the files provided by a local or remote server. The regions of this path that vary across files (along the file dimensions) must be replaced by wildcards. The wildcards must match any of the defined file dimensions in the call to \code{Start()} and must be delimited with heading and trailing '$'. Shell globbing expressions can be used in the path pattern. See the next code snippet for an example of a path pattern. -\cr\cr -All in all, the call to \code{Start()} to load the entire data set in the example of store item sales, would look as follows: +As mentioned above, the parameter \dots also expects to receive information +with the location of the data files. In order to do this, a special dimension +must be defined. In that special dimension, in place of specifying indices to +take, a path pattern must be provided. The path pattern is a character string +that encodes the way the files are organized in their source. It must be a +path to one of the data set files in an accessible local or remote file system, +or a URL to one of the files provided by a local or remote server. The regions +of this path that vary across files (along the file dimensions) must be +replaced by wildcards. The wildcards must match any of the defined file +dimensions in the call to \code{Start()} and must be delimited with heading +and trailing '$'. Shell globbing expressions can be used in the path pattern. +See the next code snippet for an example of a path pattern. +\cr\cr +All in all, the call to \code{Start()} to load the entire data set in the +example of store item sales, would look as follows: \cr \command{ \cr # data <- Start(source = paste0('/data/$variable$/', @@ -158,16 +554,22 @@ All in all, the call to \code{Start()} to load the entire data set in the exampl \cr # month = 'all') } \cr\cr -Note that in this example it would still be pending to properly define the parameters \code{file_opener}, \code{file_closer}, \code{file_dim_reader}, \code{file_var_reader} and \code{file_data_reader} for the '.data' file format (see the corresponding sections). +Note that in this example it would still be pending to properly define the +parameters \code{file_opener}, \code{file_closer}, \code{file_dim_reader}, +\code{file_var_reader} and \code{file_data_reader} for the '.data' file format +(see the corresponding sections). \cr\cr -The call to \code{Start()} will return a multidimensional R array with the following dimensions: +The call to \code{Start()} will return a multidimensional R array with the +following dimensions: \cr \command{ \cr # source variable section item store month \cr # 1 2 2 3 100 24 } \cr -The dimension specifications in the \dots do not have to follow any particular order. The returned array will have the dimensions in the same order as they have been specified in the call. For example, the following call: +The dimension specifications in the \dots do not have to follow any particular +order. The returned array will have the dimensions in the same order as they +have been specified in the call. For example, the following call: \cr \command{ \cr # data <- Start(source = paste0('/data/$variable$/', @@ -187,7 +589,11 @@ would return an array with the following dimensions: \cr # 1 24 100 3 2 2 } \cr\cr -Next, a more advanced example to retrieve data for only the sales records, for the first section ('electronics'), for the 1st and 3rd items and for the stores located in Barcelona (assuming the files contain the variable 'store_location' with the name of the city each of the 100 stores are located at): +Next, a more advanced example to retrieve data for only the sales records, for +the first section ('electronics'), for the 1st and 3rd items and for the +stores located in Barcelona (assuming the files contain the variable +'store_location' with the name of the city each of the 100 stores are located +at): \cr \command{ \cr # data <- Start(source = paste0('/data/$variable$/', @@ -202,16 +608,22 @@ Next, a more advanced example to retrieve data for only the sales records, for t \cr # return_vars = list(store_location = NULL)) } \cr\cr -The defined names for the dimensions do not necessarily have to match the names of the dimensions inside the file. Lists of alternative names to be seeked can be defined in the parameter \code{synonims}. +The defined names for the dimensions do not necessarily have to match the +names of the dimensions inside the file. Lists of alternative names to be +seeked can be defined in the parameter \code{synonims}. \cr\cr -If data from multiple sources (not necessarily following the same structure) has to be retrieved, it can be done by providing a vector of character strings with path pattern specifications, or, in the extended form, by providing a list of lists with the components 'name' and 'path', and the name of the dataset and path pattern as values, respectively. For example: +If data from multiple sources (not necessarily following the same structure) +has to be retrieved, it can be done by providing a vector of character strings +with path pattern specifications, or, in the extended form, by providing a +list of lists with the components 'name' and 'path', and the name of the +dataset and path pattern as values, respectively. For example: \cr \command{ \cr # data <- Start(source = list( -\cr # list(name = 'sourceA', +\cr # list(name = 'sourceA', \cr # path = paste0('/sourceA/$variable$/', \cr # '$section$/$item$.data')), -\cr # list(name = 'sourceB', +\cr # list(name = 'sourceB', \cr # path = paste0('/sourceB/$section$/', \cr # '$variable$/$item$.data')) \cr # ), @@ -224,211 +636,162 @@ If data from multiple sources (not necessarily following the same structure) has \cr # month = 'all', \cr # return_vars = list(store_location = NULL)) } -\cr - } - \item{return_vars}{ -Apart from retrieving a multidimensional data array, retrieving auxiliary variables inside the files can also be needed. The parameter \code{return_vars} allows for requesting such variables, as long as a \code{file_var_reader} function is also specified in the call to \code{Start()} (see documentation on the corresponding parameter). -\cr\cr -This parameter expects to receive a named list where the names are the names of the variables to be fetched in the files, and the values are vectors of character strings with the names of the file dimension which to retrieve each variable for, or \code{NULL} if the variable has to be retrieved only once from any (the first) of the involved files. In the case of the the item sales example (see documentation on parameter \dots), the store location variable is requested with the parameter \cr \code{return_vars = list(store_location = NULL)}. This will cause \code{Start()} to fetch once the variable 'store_location' and return it in the component \cr \code{$Variables$common$store_location}, and will be an array of character strings with the location names, with the dimensions \code{c('store' = 100)}. Although useless in this example, we could ask \code{Start()} to fetch and return such variable for each file along the items dimension as follows: \cr \code{return_vars = list(store_location = c('item'))}. In that case, the variable will be fetched once from a file of each of the items, and will be returned as an array with the dimensions \code{c('item' = 3, 'store' = 100)}. -\cr\cr -If a variable is requested along a file dimension that contains path pattern specifications ('source' in the example), the fetched variable values will be returned in the component \code{$Variables$$}. For example: -\cr -\command{ -\cr # data <- Start(source = list( -\cr # list(name = 'sourceA', -\cr # path = paste0('/sourceA/$variable$/', -\cr # '$section$/$item$.data')), -\cr # list(name = 'sourceB', -\cr # path = paste0('/sourceB/$section$/', -\cr # '$variable$/$item$.data')) -\cr # ), -\cr # variable = 'sales', -\cr # section = 'first', -\cr # item = indices(c(1, 3)), -\cr # item_depends = 'section', -\cr # store = 'Barcelona', -\cr # store_var = 'store_location', -\cr # month = 'all', -\cr # return_vars = list(store_location = c('source', -\cr # 'item'))) -\cr # # Checking the structure of the returned variables -\cr # str(found_data$Variables) -\cr # Named list -\cr # ..$common: NULL -\cr # ..$sourceA: Named list -\cr # .. ..$store_location: char[1:18(3d)] 'Barcelona' 'Barcelona' ... -\cr # ..$sourceB: Named list -\cr # .. ..$store_location: char[1:18(3d)] 'Barcelona' 'Barcelona' ... -\cr # # Checking the dimensions of the returned variable -\cr # # for the source A -\cr # dim(found_data$Variables$sourceA) -\cr # item store -\cr # 3 3 -} -\cr\cr -The names of the requested variables do not necessarily have to match the actual variable names inside the files. A list of alternative names to be seeked can be specified via the parameter \code{synonims}. - } - \item{synonims}{ -In some requests, data from different sources may follow different naming conventions for the dimensions or variables, or even files in the same source could have varying names. In order for \code{Start()} to properly identify the dimensions or variables with different names, the parameter \code{synonims} can be specified as a named list where the names are requested variable or dimension names, and the values are vectors of character strings with alternative names to seek for such dimension or variable. -\cr\cr -In the example used in parameter \code{return_vars}, it may be the case that the two involved data sources follow slightly different naming conventions. For example, source A uses 'sect' as name for the sections dimension, whereas source B uses 'section'; source A uses 'store_loc' as variable name for the store locations, whereas source B uses 'store_location'. This can be taken into account as follows: -\cr -\command{ -\cr # data <- Start(source = list( -\cr # list(name = 'sourceA', -\cr # path = paste0('/sourceA/$variable$/', -\cr # '$section$/$item$.data')), -\cr # list(name = 'sourceB', -\cr # path = paste0('/sourceB/$section$/', -\cr # '$variable$/$item$.data')) -\cr # ), -\cr # variable = 'sales', -\cr # section = 'first', -\cr # item = indices(c(1, 3)), -\cr # item_depends = 'section', -\cr # store = 'Barcelona', -\cr # store_var = 'store_location', -\cr # month = 'all', -\cr # return_vars = list(store_location = c('source', -\cr # 'item')), -\cr # synonims = list( -\cr # section = c('sec', 'section'), -\cr # store_location = c('store_loc', -\cr # 'store_location') -\cr # )) +\cr} } -\cr - } - \item{file_opener}{ -A function that receives as a single parameter (\code{file_path}) a character string with the path to a file to be opened, and returns an object with an open connection to the file (optionally with header information) on success, or returns \code{NULL} on failure. -\cr\cr -This parameter takes by default \code{NcOpener} (an opener function for NetCDF files). -\cr\cr -See \code{NcOpener} for a template to build a file opener for your own file format. - } - \item{file_var_reader}{ -A function with the header \code{file_path = NULL}, \code{file_object = NULL}, \code{file_selectors = NULL}, \code{var_name}, \code{synonims} that returns an array with auxiliary data (i.e. data from a variable) inside a file. \code{Start()} will provide automatically either a \code{file_path} or a \code{file_object} to the \code{file_var_reader} function (the function has to be ready to work whichever of these two is provided). The parameter \code{file_selectors} will also be provided automatically to the variable reader, containing a named list where the names are the names of the file dimensions of the queried data set (see documentation on \dots) and the values are single character strings with the components used to build the path to the file being read (the one provided in \code{file_path} or \code{file_object}). The parameter \code{var_name} will be filled in automatically by \code{Start()} also, with the name of one of the variales to be read. The parameter \code{synonims} will be filled in with exactly the same value as provided in the parameter \code{synonims} in the call to \code{Start()}, and has to be used in the code of the variable reader to check for alternative variable names inside the target file. The \code{file_var_reader} must return a (multi)dimensional array with named dimensions, and optionally with the attribute 'variales' with other additional metadata on the retrieved variable. -\cr\cr -Usually, the \code{file_var_reader} should be a degenerate case of the \code{file_data_reader} (see documentation on the corresponding parameter), so it is recommended to code the \code{file_data_reder} in first place. -\cr\cr -This parameter takes by default \code{NcVarReader} (a variable reader function for NetCDF files). -\cr\cr -See \code{NcVarReader} for a template to build a variale reader for your own file format. - } - \item{file_dim_reader}{ -A function with the header \code{file_path = NULL}, \code{file_object = NULL}, \code{file_selectors = NULL}, \code{synonims} that returns a named numeric vector where the names are the names of the dimensions of the multidimensional data array in the file and the values are the sizes of such dimensions. \code{Start()} will provide automatically either a \code{file_path} or a \code{file_object} to the \code{file_dim_reader} function (the function has to be ready to work whichever of these two is provided). The parameter \code{file_selectors} will also be provided automatically to the dimension reader, containing a named list where the names are the names of the file dimensions of the queried data set (see documentation on \dots) and the values are single character strings with the components used to build the path to the file being read (the one provided in \code{file_path} or \code{file_object}). The parameter \code{synonims} will be filled in with exactly the same value as provided in the parameter \code{synonims} in the call to \code{Start()}, and can optionally be used in advanced configurations. -\cr\cr -This parameter takes by default \code{NcDimReader} (a dimension reader function for NetCDF files). -\cr\cr -See \code{NcDimReader} for a(n advanced) template to build a dimension reader for your own file format. - } - \item{file_data_reader}{ -A function with the header \code{file_path = NULL}, \code{file_object = NULL}, \code{file_selectors = NULL}, \code{inner_indices = NULL}, \code{synonims} that returns a subset of the multidimensional data array inside a file (even if internally it is not an array). \code{Start()} will provide automatically either a \code{file_path} or a \code{file_object} to the \code{file_data_reader} function (the function has to be ready to work whichever of these two is provided). The parameter \code{file_selectors} will also be provided automatically to the data reader, containing a named list where the names are the names of the file dimensions of the queried data set (see documentation on \dots) and the values are single character strings with the components used to build the path to the file being read (the one provided in \code{file_path} or \code{file_object}). The parameter \code{inner_indices} will be filled in automatically by \code{Start()} also, with a named list of numeric vectors, where the names are the names of all the expected inner dimensions in a file to be read, and the numeric vectors are the indices to be taken from the corresponding dimension (the indices may not be consecutive nor in order). The parameter \code{synonims} will be filled in with exactly the same value as provided in the parameter \code{synonims} in the call to \code{Start()}, and has to be used in the code of the data reader to check for alternative dimension names inside the target file. The \code{file_data_reader} must return a (multi)dimensional array with named dimensions, and optionally with the attribute 'variales' with other additional metadata on the retrieved data. -\cr\cr -Usually, the \code{file_data_reader} should use the \code{file_dim_reader} (see documentation on the corresponding parameter), so it is recommended to code the \code{file_dim_reder} in first place. -\cr\cr -This parameter takes by default \code{NcDataReader} (a data reader function for NetCDF files). -\cr\cr -See \code{NcDataReader} for a template to build a data reader for your own file format. - } - \item{file_closer}{ -A function that receives as a single parameter (\code{file_object}) an open connection (as returned by \code{file_opener}) to one of the files to be read, optionally with header information, and closes the open connection. Always returns \code{NULL}. -\cr\cr -This parameter takes by default \code{NcCloser} (a closer function for NetCDF files). -\cr\cr -See \code{NcCloser} for a template to build a file closer for your own file format. - } - \item{transform}{ -A function with the header \code{dara_array}, \code{variables}, \code{file_selectors = NULL}, \code{\dots}. It receives as input, through the parameter \code{data_array}, a subset of a multidimensional array (as returned by \code{file_data_reader}), applies a transformation to it and returns it, preserving the amount of dimensions but potentially modifying their size. This transformation may require data from other auxiliary variables, automatically provided to \code{transform} through the parameter \code{variables}, in the form of a named list where the names are the variable names and the values are (multi)dimensional arrays. Which variables need to be sent to \code{transform} can be specified with the parameter \code{transform_vars} in \code{Start()}. The parameter \code{file_selectors} will also be provided automatically to \code{transform}, containing a named list where the names are the names of the file dimensions of the queried data set (see documentation on \dots) and the values are single character strings with the components used to build the path to the file the subset being processed belongs to. The parameter \dots will be filled in with other additional parameters to adjust the transformation, exactly as provided in the call to \code{Start()} via the parameter \code{transform_params}. - } - \item{transform_params}{ -Named list with additional parameters to be sent to the \code{transform} function (if specified). See documentation on \code{transform} for details. - } - \item{transform_vars}{ -Vector of character strings with the names of auxiliary variables to be sent to the \code{transform} function (if specified). All the variables to be sent to \code{transform} must also have been requested as return variables in the parameter \code{return_vars} of \code{Start()}. - } - \item{transform_extra_cells}{ -Number of extra indices to retrieve from the data set, beyond the requested indices in \dots, in order for \code{transform} to dispose of additional information to properly apply whichever transformation (if needed). As many as \code{transform_extra_cells} will be retrieved beyond each of the limits for each of those inner dimensions associated to a coordinate variable and sent to \code{transform} (i.e. present in \code{transform_vars}). After \code{transform} has finished, \code{Start()} will take again and return a subset of the result, for the returned data to fall within the specified bounds in \dots. - } - \item{apply_indices_after_transform}{ -When a \code{transform} is specified in \code{Start()} and numeric indices are provided for any of the inner dimensions that depend on coordinate variables, these numeric indices can be made effective (retrieved) before applying the transformation or after. The boolean flab \code{apply_indices_after_transform} allows to adjust this behaviour. It takes \code{FALSE} by default (numeric indices are applied before sending data to \code{transform}). - } - \item{pattern_dims}{ -Name of the dimension with path pattern specifications (see \dots for details). If not specified, \code{Start()} assumes the first provided dimension is the pattern dimension, with a warning. - } - \item{metadata_dims}{ -It expects to receive a vector of character strings with the names of the file dimensions which to return metadata for. As noted in \code{file_data_reader}, the data reader can optionally return auxiliary data via the attribute 'variables' of the returned array. \code{Start()} by default returns the auxiliary data read for only the first file of each source (or data set) in the pattern dimension (see \dots for info on what the pattern dimension is). However it can be configured to return the metadata for all the files along any set of file dimensions. The parameter \code{metadata_dims} allows to configure this level of granularity of the returned metadata. - } - \item{selector_checker}{ -Function used internaly by \code{Start()} to translate a set of selectors (values for a dimension associated to a coordinate variable) into a set of numeric indices. It takes by default \code{SelectorChecker} and, in principle, it should not be required to change it for customized file formats. The option to replace it is left open for more versatility. See the code of \code{SelectorChecker} for details on the inputs, functioning and outputs of a selector checker. - } - \item{merge_across_dims}{ -Whether to merge dimensions across which another dimension extends (according to the \code{*_across} parameters). Takes the value \code{FALSE} by default. For example, if the dimension 'time' extends across the dimension 'chunk' and \code{merge_across_dims = TRUE}, the resulting data array will only contain only the dimension 'time' as long as all the chunks together. - } - \item{split_multiselected_dims}{ -Whether to split a dimension that has been selected with a multidimensional array of selectors into as many dimensions as present in the selector array. Takes the value \code{FALSE} by default. - } - \item{path_glob_permissive}{ -When specifying a path pattern for a dataset, it might contain shell glob experissions. For each dataset, the first file matching the path pattern is found, and the found file is used to work out fixed values for the glob expressions that will be used for all the files of the dataset. However in some cases the values of the shell glob expressions may not be constant for all files in a dataset, and they need to be worked out for each file involved. In this situation, the \code{path_glob_permissive} can be set to an integer value specifying for how many folder levels in the path pattern, beginning from the end, the shell glob expressions mut be preserved and worked out for each file.\cr The default value is \code{FALSE}, which is equivalent to \code{0}. Setting \code{TRUE} is equivalent to \code{1}.\cr For example, a path pattern could be as follows: \code{'/path/to/dataset/$var$_*/$date$_*_foo.nc'}. Leaving \code{path_glob_permissive = FALSE} will trigger automatic seek of the contents to replace the asterisks (e.g. the first asterisk matches with \code{'bar'} and the second with \code{'baz'}. The found contents will be used for all files in the dataset (in the example, the path pattern will be fixed to \code{'/path/to/dataset/$var$_bar/$date$_baz_foo.nc'}. However, if any of the files in the dataset have other contents in the position of the asterisks, \code{Start()} will not find them (in the example, a file like \code{'/path/to/dataset/precipitation_bar/19901101_bin_foo.nc'} would not be found). Setting \code{path_glob_permissive = 1} would preserve global expressions in the latest level (in the example, the fixed path pattern would be \code{'/path/to/dataset/$var$_bar/$date$_*_foo.nc'}, and the problematic file mentioned before would be found), but of course this would slow down the \code{Start()} call if the dataset involves a large number of files. Setting \code{path_glob_permissive = 2} would leave the original path pattern with the original glob expressions in the 1st and 2nd levels (in the example, both asterisks would be preserved, thus would allow \code{Start()} to recognize files such as \code{'/path/to/dataset/precipitation_zzz/19901101_yyy_foo.nc'}). - } - \item{retrieve}{ -Logical value telling whether to retrieve the data defined in the \code{Start} call or to explore only its dimension lengths and names, and the values for the file and inner dimensions. Takes FALSE by default. - } - \item{num_procs}{ -Number of processes to be created for the parallel execution of the retrieval / transformation / arrangement of the multiple involved files in a call to \code{Start()}. If set to \code{NULL}, takes the number of available cores (as detected by \code{detectCores()} in the package 'future'). Takes 1 by default (no parallel execution). - } - \item{silent}{ -Boolean flag, whether to display progress messages (FALSE; default) or not (TRUE). - } - \item{debug}{ -Whether to return detailed messages on the progress and operations in a \code{Start} call (TRUE) or not (FALSE; default). - } +\value{ +If \code{retrieve = TRUE} the involved data is loaded into RAM memory + and an object of the class 'startR_cube' with the following components is + returned:\cr + \item{Data}{ + Multidimensional data array with named dimensions, with the data values + requested via \dots and other parameters. This array can potentially contain + metadata in the attribute 'variables'. + } + \item{Variables}{ + Named list of 1 + N components, containing lists of retrieved variables (as + requested in \code{return_vars}) common to all the data sources (in the 1st + component, \code{$common}), and for each of the N dara sources (named after + the source name, as specified in \dots, or, if not specified, \code{$dat1}, + \code{$dat2}, ..., \code{$datN}). Each of the variables are contained in a + multidimensional array with named dimensions, and potentially with the + attribute 'variables' with additional auxiliary data. + } + \item{Files}{ + Multidimensonal character string array with named dimensions. Its dimensions + are the file dimensions (as requested in \dots). Each cell in this array + contains a path to a retrieved file, or \code{NULL} if the corresponding + file was not found. + } + \item{NotFoundFiles}{ + Array with the same shape as \code{$Files} but with \code{NULL} in the + positions for which the corresponding file was found, and a path to the + expected file in the positions for which the corresponding file was not + found. + } + \item{FileSelectors}{ + Multidimensional character string array with named dimensions, with the same + shape as \code{$Files} and \code{$NotFoundFiles}, which contains the + components used to build up the paths to each of the files in the data + sources. + } +If \code{retrieve = FALSE} the involved data is not loaded into RAM memory and +an object of the class 'startR_header' with the following components is +returned:\cr + \item{Dimensions}{ + Named vector with the dimension lengths and names of the data involved in + the \code{Start} call. + } + \item{Variales}{ + Named list of 1 + N components, containing lists of retrieved variables (as + requested in \code{return_vars}) common to all the data sources (in the 1st + component, \code{$common}), and for each of the N dara sources (named after + the source name, as specified in \dots, or, if not specified, \code{$dat1}, + \code{$dat2}, ..., \code{$datN}). Each of the variables are contained in a + multidimensional array with named dimensions, and potentially with the + attribute 'variables' with additional auxiliary data. + } + \item{Files}{ + Multidimensonal character string array with named dimensions. Its dimensions + are the file dimensions (as requested in \dots). Each cell in this array + contains a path to a file to be retrieved (which may exist or not). + } + \item{FileSelectors}{ + Multidimensional character string array with named dimensions, with the same + shape as \code{$Files} and \code{$NotFoundFiles}, which contains the + components used to build up the paths to each of the files in the data + sources. + } + \item{StartRCall}{ + List of parameters sent to the \code{Start} call, with the parameter + \code{retrieve} set to \code{TRUE}. Intended for calling in order to + retrieve the associated data a posteriori with a call to \code{do.call}. + } } -\details{ -Check \href{https://earth.bsc.es/gitlab/es/startR}{the startR website} for more information. +\description{ +See the \href{https://earth.bsc.es/gitlab/es/startR}{\code{startR} +documentation and tutorial} for a step-by-step explanation on how to use +\code{Start()}.\cr\cr +Nowadays in the era of big data, large multidimensional data sets from +diverse sources need to be combined and processed. Analysis of big data in any +field is often highly complex and time-consuming. Taking subsets of these data +sets and processing them efficiently become an indispensable practice. This +technique is also known as Domain Decomposition, Map Reduce or, more commonly, +'chunking'.\cr\cr +\code{startR} (Subset, TrAnsform, ReTrieve, arrange and process large +multidimensional data sets in R) is an R project started at BSC with the aim +to develop a tool that allows the user to automatically process large +multidimensional distributed data sets. It is an open source project that is +open to external collaboration and funding, and will continuously evolve to +support as many data set formats as possible while maximizing its efficiency.\cr\cr +\code{startR} provides a framework under which a data set (collection of one +or multiple data files, potentially distributed over various remote servers) +are perceived as if they all were part of a single large multidimensional +array. Once such multidimensional array is declared, any user-defined function +can be applied to the data in a \code{apply}-like fashion, where \code{startR} +transparently implements the Map Reduce paradigm. The steps to follow in order +to process a collection of big data sets are as follows:\cr +\itemize{ + \item{ +Declaring the data set, i.e. declaring the distribution of the data files +involved, the dimensions and shape of the multidimensional array, and the +boundaries of the target data. This step can be performed with the +\code{Start()} function. Numeric indices or coordinate values can be used when +fixing the boundaries. It is common having the need to apply transformations, +pre-processing or reordering to the data. Start() accepts user-defined +transformation or reordering functions to be applied for such purposes. Once a +data set is declared, a list of involved files, dimension lengths, memory size +and other metadata is made available. Optionally, the data set can be +retrieved and loaded onto the current R session if it is small enough. + } + \item{ +Declaring the workflow of operations to perform on the involved data set(s). +This step can be performed with the \code{Step()} and \code{AddStep()} +functions. + } + \item{ +Defining the computation settings. The mandatory settings include a) how many +subsets to divide the data sets into and along which dimensions; b) which +platform to perform the workflow of operations on (local machine or remote +machine/HPC?), how to communicate with it (unidirectional or bidirectional +connection? shared or separate file systems?), which queuing system it uses +(slurm, PBS, LSF, none?); and c) how many parallel jobs and execution threads +per job to use when running the calculations. This step can be performed when +building up the call to the \code{Compute()} function. + } + \item{ +Running the computation. startR transparently implements the Map Reduce +paradigm, according to the settings in the previous steps. The progress can +optionally be monitored with the EC-Flow workflow management tool. When the +computation ends, a report of performance timings is displayed. This step can +be triggered with the \code{Compute()} function. + } } -\value{ -If \code{retrieve = TRUE} the involved data is loaded into RAM memory and an object of the class 'startR_cube' with the following components is returned:\cr - \item{Data}{ -Multidimensional data array with named dimensions, with the data values requested via \dots and other parameters. This array can potentially contain metadata in the attribute 'variables'. - } - \item{Variales}{ -Named list of 1 + N components, containing lists of retrieved variables (as requested in \code{return_vars}) common to all the data sources (in the 1st component, \code{$common}), and for each of the N dara sources (named after the source name, as specified in \dots, or, if not specified, \code{$dat1}, \code{$dat2}, ..., \code{$datN}). Each of the variables are contained in a multidimensional array with named dimensions, and potentially with the attribute 'variables' with additional auxiliary data. - } - \item{Files}{ -Multidimensonal character string array with named dimensions. Its dimensions are the file dimensions (as requested in \dots). Each cell in this array contains a path to a retrieved file, or \code{NULL} if the corresponding file was not found. - } - \item{NotFoundFiles}{ -Array with the same shape as \code{$Files} but with \code{NULL} in the positions for which the corresponding file was found, and a path to the expected file in the positions for which the corresponding file was not found. - } - \item{FileSelectors}{ -Multidimensional character string array with named dimensions, with the same shape as \code{$Files} and \code{$NotFoundFiles}, which contains the components used to build up the paths to each of the files in the data sources. - } -If \code{retrieve = FALSE} the involved data is not loaded into RAM memory and an object of the class 'startR_header' with the following components is returned:\cr - \item{Dimensions}{ -Named vector with the dimension lengths and names of the data involved in the \code{Start} call. - } - \item{Variales}{ -Named list of 1 + N components, containing lists of retrieved variables (as requested in \code{return_vars}) common to all the data sources (in the 1st component, \code{$common}), and for each of the N dara sources (named after the source name, as specified in \dots, or, if not specified, \code{$dat1}, \code{$dat2}, ..., \code{$datN}). Each of the variables are contained in a multidimensional array with named dimensions, and potentially with the attribute 'variables' with additional auxiliary data. - } - \item{Files}{ -Multidimensonal character string array with named dimensions. Its dimensions are the file dimensions (as requested in \dots). Each cell in this array contains a path to a file to be retrieved (which may exist or not). - } - \item{FileSelectors}{ -Multidimensional character string array with named dimensions, with the same shape as \code{$Files} and \code{$NotFoundFiles}, which contains the components used to build up the paths to each of the files in the data sources. - } - \item{StartRCall}{ -List of parameters sent to the \code{Start} call, with the parameter \code{retrieve} set to \code{TRUE}. Intended for calling in order to retrieve the associated data a posteriori with a call to \code{do.call}. - } +\code{startR} is not bound to a specific file format. Interface functions to +custom file formats can be provided for \code{Start()} to read them. As this +version, \code{startR} includes interface functions to the following file formats: +\itemize{ + \item{ +NetCDF + } } -\author{ -History:\cr -0.0 - 2017-04 (N. Manubens, \email{nicolau.manubens at bsc.es}) - Original code +Metadata and auxilliary data is also preserved and arranged by \code{Start()} +in the measure that it is retrieved by the interface functions for a specific +file format. } \examples{ -## Check https://earth.bsc.es/gitlab/es/startR for step-by-step examples -## of Start(). + data_path <- system.file('sample_data', package = 'startR') + path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') + sdates <- c('200011', '200012') + data <- Start(dat = path_obs, + var = 'tos', + sdate = sdates, + time = 'all', + latitude = 'all', + longitude = 'all', + return_vars = list(latitude = 'dat', + longitude = 'dat', + time = 'sdate'), + retrieve = FALSE) + } -\keyword{IO} -\keyword{array} -\keyword{manip} + diff --git a/man/Subset.Rd b/man/Subset.Rd index b90def7..f6caca4 100644 --- a/man/Subset.Rd +++ b/man/Subset.Rd @@ -1,51 +1,62 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/Subset.R \name{Subset} \alias{Subset} -\title{Subset a Data Array} +\title{Subset a data array} +\usage{ +Subset(x, along, indices, drop = FALSE) +} +\arguments{ +\item{x}{A multidimensional array to be sliced. It can have dimension names +either in \code{names(dim(x))} or either in the attribute 'dimensions'.} + +\item{along}{Vector with references to the dimensions to take the subset +from: either integers or dimension names.} + +\item{indices}{List of indices to take from each dimension specified in +'along'. If a single dimension is specified in 'along' the indices can be +directly provided as a single integer or as a vector.} + +\item{drop}{Whether to drop all the dimensions of length 1 in the resulting +array, none, only those that are specified in 'along', or only those that +are not specified in 'along'. The possible values are, respectively: 'all' +or TRUE, 'none' or FALSE, 'selected', and 'non-selected'.} +} +\value{ +An array same as the input 'x' except the dimensions being subsetted. +} \description{ This function allows to subset (i.e. slice, take a chunk of) an array, in a similar way as done in the function \code{take()} in the package plyr. There -are two main inprovements:\cr\cr +are two main inprovements:\cr The input array can have dimension names, either -in \code{names(dim(x))} or in the attribute 'dimensions', and the dimensions to -subset along can be specified via the parameter \code{along} either with -integer indices or either by their name.\cr\cr +in \code{names(dim(x))} or in the attribute 'dimensions', and the dimensions +to subset along can be specified via the parameter \code{along} either with +integer indices or either by their name.\cr There are additional ways to adjust which dimensions are dropped in the resulting array: either to drop all, to drop none, to drop only the ones that -have been sliced or to drop only the ones that have not been sliced.\cr\cr +have been sliced or to drop only the ones that have not been sliced.\cr If an array is provided without dimension names, dimension names taken from the parameter \code{dim_names} will be added to the array. } -\usage{ -Subset(x, along, indices, drop = FALSE) -} -\arguments{ - \item{x}{ -A multidimensional array to be sliced. It can have dimension names either -in \code{names(dim(x))} or either in the attribute 'dimensions'. - } - \item{along}{ -Vector with references to the dimensions to take the subset from: either -integers or dimension names. - } - \item{indices}{ -List of indices to take from each dimension specified in 'along'. If a single -dimension is specified in 'along' the indices can be directly provided as a -single integer or as a vector. - } - \item{drop}{ -Whether to drop all the dimensions of length 1 in the resulting array, none, -only those that are specified in 'along', or only those that are not specified -in 'along'. The possible values are, respectively: 'all' or TRUE, 'none' or -FALSE, 'selected', and 'non-selected'. - } -} \examples{ -sample_array <- array(1:24, dim = c(dataset = 1, sdate = 2, member = 3, ftime = 4)) -subset <- Subset(sample_array, c('dataset', 'sdate', 'member'), - list(1, 1, 1), drop = 'selected') -} -\author{ -History:\cr -0.0 - 2016-06 (N. Manubens, \email{nicolau.manubens at bsc.es}) - Original code + data_path <- system.file('sample_data', package = 'startR') + path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') + sdates <- c('200011', '200012') + data <- Start(dat = path_obs, + var = 'tos', + sdate = sdates, + time = 'all', + latitude = 'all', + longitude = 'all', + return_vars = list(latitude = 'dat', + longitude = 'dat', + time = 'sdate'), + retrieve = TRUE) + + subset <- Subset(data, c('dat', 'var', 'time'), + list(1, 1, 1), drop = 'selected') + dim(subset) + } -\keyword{datagen} + -- GitLab From 535a4a15cd50d17454dfbba6f28981efe654142b Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 29 Jul 2020 13:06:34 +0200 Subject: [PATCH 21/60] Add s2dverfication hidden functions .KnownLonNames and .KnownLatNames in Utils() --- R/Utils.R | 13 +++++++++++-- 1 file changed, 11 insertions(+), 2 deletions(-) diff --git a/R/Utils.R b/R/Utils.R index 8d06343..2c492ce 100644 --- a/R/Utils.R +++ b/R/Utils.R @@ -1,3 +1,4 @@ +#'@import abind indices <- function(x) { attr(x, 'indices') <- TRUE attr(x, 'values') <- FALSE @@ -725,7 +726,7 @@ chunk <- function(chunk, n_chunks, selectors) { } .MergeChunks <- function(shared_dir, suite_id, remove) { - MergeArrays <- startR:::.MergeArrays + MergeArrays <- .MergeArrays args <- NULL shared_dir <- paste0(shared_dir, '/STARTR_CHUNKING_', suite_id) @@ -826,7 +827,7 @@ chunk <- function(chunk, n_chunks, selectors) { } } - result[[component]] <- startR:::.MergeArrayOfArrays(array_of_chunks) + result[[component]] <- .MergeArrayOfArrays(array_of_chunks) rm(array_of_chunks) gc() } @@ -841,3 +842,11 @@ chunk <- function(chunk, n_chunks, selectors) { result } + +.KnownLonNames <- function() { + known_lon_names <- c('lon', 'longitude', 'x', 'i', 'nav_lon') +} + +.KnownLatNames <- function() { + known_lat_names <- c('lat', 'latitude', 'y', 'j', 'nav_lat') +} -- GitLab From d7541249ad5778a228c0c2ce2c58466c9554cb99 Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 29 Jul 2020 15:49:52 +0200 Subject: [PATCH 22/60] Change chunk() to .chunk() --- R/ByChunks.R | 33 +++++++++++++++++---------------- 1 file changed, 17 insertions(+), 16 deletions(-) diff --git a/R/ByChunks.R b/R/ByChunks.R index b2cc6ca..f12715f 100644 --- a/R/ByChunks.R +++ b/R/ByChunks.R @@ -78,6 +78,7 @@ #' use_attributes = list(data = "Variables")) #' ByChunks(step, data) #' +#'@import multiApply #'@export ByChunks <- function(step_fun, cube_headers, ..., chunks = 'auto', threads_load = 2, threads_compute = 1, @@ -104,7 +105,7 @@ ByChunks <- function(step_fun, cube_headers, ..., chunks = 'auto', merge = NULL, total = NULL) - MergeArrays <- startR:::.MergeArrays + MergeArrays <- .MergeArrays # Check input headers if ('startR_cube' %in% class(cube_headers)) { @@ -276,7 +277,7 @@ ByChunks <- function(step_fun, cube_headers, ..., chunks = 'auto', } cluster[['cores_per_job']] <- round(cluster[['cores_per_job']]) if (cluster[['cores_per_job']] > threads_compute) { - startR:::.message("WARNING: 'threads_compute' should be >= cluster[['cores_per_job']].") + .message("WARNING: 'threads_compute' should be >= cluster[['cores_per_job']].") } if (!is.list(cluster[['extra_queue_params']]) || !all(sapply(cluster[['extra_queue_params']], is.character))) { @@ -325,7 +326,7 @@ ByChunks <- function(step_fun, cube_headers, ..., chunks = 'auto', if (is.null(all_dims_merged)) { all_dims_merged <- i } else { - all_dims_merged <- startR:::.MergeArrayDims(all_dims_merged, i)[[3]] + all_dims_merged <- .MergeArrayDims(all_dims_merged, i)[[3]] } } all_dimnames <- names(all_dims_merged) @@ -635,7 +636,7 @@ ByChunks <- function(step_fun, cube_headers, ..., chunks = 'auto', timings[['job_setup']] <- 0 timings[['transfer_back']] <- 0 if (!silent) { - startR:::.message(paste0("Processing chunks... ", + .message(paste0("Processing chunks... ", "remaining time estimate soon...")) } time_before_first_chunk <- Sys.time() @@ -667,7 +668,7 @@ ByChunks <- function(step_fun, cube_headers, ..., chunks = 'auto', if (!on_cluster) { if (!silent) { - startR:::.message(paste("Loading chunk", i, + .message(paste("Loading chunk", i, "out of", length(chunk_array), "...")) } data <- vector('list', length(cube_headers)) @@ -689,7 +690,7 @@ ByChunks <- function(step_fun, cube_headers, ..., chunks = 'auto', split_dims_to_alter <- which(names(split_dims[[k]]) %in% names_dims_to_alter) chunks_split_dims[split_dims_to_alter] <- unlist(chunks[names(split_dims[[k]])[split_dims_to_alter]]) chunks_indices_split_dims[split_dims_to_alter] <- chunk_indices[names(split_dims[[k]])[split_dims_to_alter]] - start_call[[names(split_dims)[k]]] <- chunk(chunks_indices_split_dims, chunks_split_dims, + start_call[[names(split_dims)[k]]] <- .chunk(chunks_indices_split_dims, chunks_split_dims, eval(start_call[[names(split_dims)[k]]])) dims_to_alter_to_remove <- which(names_dims_to_alter %in% names(split_dims[[k]])) if (length(dims_to_alter_to_remove) > 0) { @@ -702,7 +703,7 @@ ByChunks <- function(step_fun, cube_headers, ..., chunks = 'auto', if (length(dims_to_alter) > 0) { for (call_dim in names(attr(start_call, 'Dimensions'))[dims_to_alter]) { - start_call[[call_dim]] <- chunk(chunk_indices[call_dim], chunks[[call_dim]], + start_call[[call_dim]] <- .chunk(chunk_indices[call_dim], chunks[[call_dim]], eval(start_call[[call_dim]])) } } @@ -716,7 +717,7 @@ ByChunks <- function(step_fun, cube_headers, ..., chunks = 'auto', timings[['load']] <- c(timings[['load']], as.numeric(difftime(t_end_load, t_begin_load, units = 'secs'))) if (!silent) { - startR:::.message(paste("Processing...")) + .message(paste("Processing...")) } #TODO: Find a better way to assign the names of data. When multiple steps for Compute is available, this way may fail. names(data) <- names(cube_headers) @@ -751,7 +752,7 @@ ByChunks <- function(step_fun, cube_headers, ..., chunks = 'auto', time_before_first_chunk) * (length(chunk_array) - 1) units(estimate) <- 'mins' - startR:::.message( + .message( paste0("Remaining time estimate (at ", format(time_after_first_chunk), ") ", "(neglecting merge time): ", format(estimate)) ) @@ -817,7 +818,7 @@ ByChunks <- function(step_fun, cube_headers, ..., chunks = 'auto', t_begin_bychunks_setup, units = 'secs')) if (!is_data_dir_shared) { t_begin_transfer <- Sys.time() - startR:::.message("Sending involved files to the cluster file system...") + .message("Sending involved files to the cluster file system...") files_to_send <- NULL #files_to_check <- NULL for (cube_header in 1:length(cube_headers)) { @@ -851,14 +852,14 @@ ByChunks <- function(step_fun, cube_headers, ..., chunks = 'auto', system(paste0("rsync -Rrav '", file_spec, "' '", cluster[['queue_host']], ":", remote_data_dir, "/'")) } - startR:::.message("Files sent successfully.") + .message("Files sent successfully.") t_end_transfer <- Sys.time() timings[['transfer']] <- as.numeric(difftime(t_end_transfer, t_begin_transfer, units = 'secs')) } else { timings[['transfer']] <- 0 } if (!silent) { - startR:::.message(paste0("Processing chunks... ")) + .message(paste0("Processing chunks... ")) } time_begin_first_chunk <- Sys.time() # time_after_first_chunk <- NULL @@ -875,7 +876,7 @@ ByChunks <- function(step_fun, cube_headers, ..., chunks = 'auto', class(startr_exec) <- 'startR_exec' if (wait) { if (!silent) { - startR:::.message(paste0("Remaining time estimate soon... ")) + .message(paste0("Remaining time estimate soon... ")) # while (is.null(time_after_first_chunk)) { # if (any(grepl('.*\\.Rds$', list.files(ecflow_suite_dir_suite)))) { # time_after_first_chunk <- Sys.time() @@ -884,7 +885,7 @@ ByChunks <- function(step_fun, cube_headers, ..., chunks = 'auto', # ceiling((prod(unlist(chunks)) - cluster[['max_jobs']]) / # cluster[['max_jobs']]) # units(estimate) <- 'mins' - # startR:::.message( + # .message( # paste0('Remaining time estimate (neglecting queue and ', # 'merge time) (at ', format(time_after_first_chunk), # '): ', format(estimate), ' (', @@ -908,7 +909,7 @@ ByChunks <- function(step_fun, cube_headers, ..., chunks = 'auto', startr_exec[['t_begin_first_chunk']] <- time_begin_first_chunk } result <- Collect(startr_exec, wait = TRUE) - startR:::.message("Computation ended successfully.") + .message("Computation ended successfully.") result } else { startr_exec @@ -918,7 +919,7 @@ ByChunks <- function(step_fun, cube_headers, ..., chunks = 'auto', timings[['concurrent_chunks']] <- 1 t_begin_merge <- Sys.time() for (component in 1:length(arrays_of_results)) { - arrays_of_results[[component]] <- startR:::.MergeArrayOfArrays(arrays_of_results[[component]]) + arrays_of_results[[component]] <- .MergeArrayOfArrays(arrays_of_results[[component]]) } t_end_merge <- Sys.time() timings[['merge']] <- as.numeric(difftime(t_end_merge, t_begin_merge, units = 'secs')) -- GitLab From d8409624bb751f2d19854d266a4bb866106b1de5 Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 29 Jul 2020 17:32:50 +0200 Subject: [PATCH 23/60] Correct unit test for v1.0.3 --- tests/testthat/test-Start-split-merge.R | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/tests/testthat/test-Start-split-merge.R b/tests/testthat/test-Start-split-merge.R index a88be8b..7a938a5 100644 --- a/tests/testthat/test-Start-split-merge.R +++ b/tests/testthat/test-Start-split-merge.R @@ -49,12 +49,12 @@ obs <- Start(dat = path.obs, ) expect_equal( obs[1, 1, 1, 1, 2, 2, 1:3], - c(6.802123, 7.110264, 7.584915), + c(6.968349, 6.604249, 7.563990), tolerance = 0.0001 ) expect_equal( mean(obs), - 5.751444, + 5.726787, tolerance = 0.0001 ) expect_equal( @@ -89,12 +89,12 @@ obs <- Start(dat = path.obs, ) expect_equal( obs[1, 1, 1, 1, 10:13], - c(4.076760, 7.644944, 4.589063, 4.402223), + c(3.777488, 7.563611, 3.737108, 4.478187), tolerance = 0.0001 ) expect_equal( mean(obs), - 5.751444, + 5.726787, tolerance = 0.0001 ) expect_equal( @@ -129,12 +129,12 @@ obs <- Start(dat = path.obs, ) expect_equal( obs[1, 1, 1, 1, 10:13], - c(4.076760, 7.644944, 4.589063, 4.402223), + c(3.777488, 7.563611, 3.737108, 4.478187), tolerance = 0.0001 ) expect_equal( mean(obs, na.rm = T), - 5.751444, + 5.726787, tolerance = 0.0001 ) expect_equal( -- GitLab From da9f806231a3ac3f44eaedb7f3e9878809fe6338 Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 29 Jul 2020 17:37:27 +0200 Subject: [PATCH 24/60] Revise for R CMD check --- .Rbuildignore | 17 ++++++++++++----- DESCRIPTION | 3 ++- R/AddStep.R | 8 ++++---- R/ByChunks.R | 4 ++-- R/CDORemapper.R | 6 +++--- R/Collect.R | 6 +++--- R/Sort.R | 5 +++-- R/Start.R | 38 +++++++++++++++++++++++--------------- R/Utils.R | 19 +++++++++++++++++-- man/CircularSort.Rd | 38 -------------------------------------- 10 files changed, 69 insertions(+), 75 deletions(-) delete mode 100644 man/CircularSort.Rd diff --git a/.Rbuildignore b/.Rbuildignore index 834c4fa..49c646d 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -1,5 +1,12 @@ -.git -.gitignore -.tar.gz -.pdf -./.nc +.*\.git$ +.*\.gitignore$ +.*\.tar.gz$ +.*\.pdf$ +.*^(?!inst)\.nc$ +sample_data +README\.Rmd$ +README\.md$ +\..*\.RData$ +vignettes +.gitlab-ci.yml + diff --git a/DESCRIPTION b/DESCRIPTION index 3278b6a..e29cc6a 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -29,7 +29,8 @@ Imports: easyNCDF, s2dverification Suggests: - testthat + stats, + utils License: LGPL-3 URL: https://earth.bsc.es/gitlab/es/startR/ BugReports: https://earth.bsc.es/gitlab/es/startR/issues diff --git a/R/AddStep.R b/R/AddStep.R index c9b6520..918a26a 100644 --- a/R/AddStep.R +++ b/R/AddStep.R @@ -6,7 +6,7 @@ #'@param inputs One or a list of objects of the class 'startR_cube' returned by #' Start(), indicating the data to be processed. #'@param step_fun A startR step function as returned by Step(). -#'@param {\dots} Additional parameters for the inputs of function defined in +#'@param \code{\dots} Additional parameters for the inputs of function defined in #' 'step_fun' by Step(). #' #'@return A list of the class 'startR_workflow' containing all the objects @@ -98,7 +98,7 @@ AddStep <- function(inputs, step_fun, ...) { names(dims1) <- previous_target_dims dims2 <- rep(1, length(attr(inputs[[input]], 'TargetDims'))) names(dims2) <- attr(inputs[[input]], 'TargetDims') - previous_target_dims <- names(startR:::.MergeArrayDims(dims1, dims2)[[1]]) + previous_target_dims <- names(.MergeArrayDims(dims1, dims2)[[1]]) } } new_input_dims <- attr(inputs[[input]], 'Dimensions') @@ -108,7 +108,7 @@ AddStep <- function(inputs, step_fun, ...) { if (is.null(all_input_dims)) { all_input_dims <- new_input_dims } else { - all_input_dims <- startR:::.MergeArrayDims(all_input_dims, new_input_dims)[[1]] + all_input_dims <- .MergeArrayDims(all_input_dims, new_input_dims)[[1]] } } @@ -118,7 +118,7 @@ AddStep <- function(inputs, step_fun, ...) { names(dims1) <- previous_target_dims dims2 <- rep(1, length(new_target_dims)) names(dims2) <- new_target_dims - target_dims <- names(startR:::.MergeArrayDims(dims1, dims2)[[1]]) + target_dims <- names(.MergeArrayDims(dims1, dims2)[[1]]) for (output in 1:length(attr(step_fun, 'OutputDims'))) { workflow <- list(inputs = inputs, fun = step_fun, diff --git a/R/ByChunks.R b/R/ByChunks.R index f12715f..2b226ca 100644 --- a/R/ByChunks.R +++ b/R/ByChunks.R @@ -8,7 +8,7 @@ #' details of operation. #'@param cube_headers A list with the class 'startR_cube' returned by Start(). #' It contains the details of data to be operated. -#'@param {\dots} Additional parameters for the inputs of 'step_fun'. +#'@param \code{\dots} Additional parameters for the inputs of 'step_fun'. #'@param chunks A named list of dimensions which to split the data along and #' the number of chunks to make for each. The chunked dimension can only be #' those not required as the target dimension in function Step(). The default @@ -51,7 +51,7 @@ #' #'@examples #' # ByChunks() is internally used in Compute(), not intended to be used by -#' users. The example just illustrates the inputs of ByChunks(). +#' # users. The example just illustrates the inputs of ByChunks(). #' data_path <- system.file('sample_data', package = 'startR') #' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') #' sdates <- c('200011', '200012') diff --git a/R/CDORemapper.R b/R/CDORemapper.R index 4985208..9e01b78 100644 --- a/R/CDORemapper.R +++ b/R/CDORemapper.R @@ -16,7 +16,7 @@ #'@param file_selectors A charcter vector indicating the information of the path of #' the file parameter 'data_array' comes from. See details in the documentation of #' the parameter 'transform' of the function Start(). The default value is NULL. -#'@param {\dots} A list of additional parameters to adjust the transform process, +#'@param \code{\dots} A list of additional parameters to adjust the transform process, #' as provided in the parameter 'transform_params' in a Start() call. See details #' in the documentation of the parameter 'transform' of the function Start(). #' @@ -47,8 +47,8 @@ #'@export CDORemapper <- function(data_array, variables, file_selectors = NULL, ...) { file_dims <- names(file_selectors) - known_lon_names <- s2dverification:::.KnownLonNames() - known_lat_names <- s2dverification:::.KnownLatNames() + known_lon_names <- .KnownLonNames() + known_lat_names <- .KnownLatNames() if (!any(known_lon_names %in% names(variables)) || !any(known_lat_names %in% names(variables))) { stop("The longitude and latitude variables must be requested in ", diff --git a/R/Collect.R b/R/Collect.R index 27a89b1..45449ff 100644 --- a/R/Collect.R +++ b/R/Collect.R @@ -151,7 +151,7 @@ Collect <- function(startr_exec, wait = TRUE, remove = TRUE) { ceiling((prod(unlist(chunks)) - cluster[['max_jobs']]) / cluster[['max_jobs']]) units(estimate) <- 'mins' - startR:::.message( + .message( paste0('Remaining time estimate (neglecting queue and ', 'merge time) (at ', format(time_after_first_chunk), '): ', format(estimate), ' (', @@ -224,7 +224,7 @@ Collect <- function(startr_exec, wait = TRUE, remove = TRUE) { ceiling((prod(unlist(chunks)) - cluster[['max_jobs']]) / cluster[['max_jobs']]) units(estimate) <- 'mins' - startR:::.message( + .message( paste0('Remaining time estimate (neglecting queue and ', 'merge time) (at ', format(time_after_first_chunk), '): ', format(estimate), ' (', @@ -256,7 +256,7 @@ Collect <- function(startr_exec, wait = TRUE, remove = TRUE) { "system. Store the result after Collect() ends if needed.") } t_begin_merge <- Sys.time() - result <- startR:::.MergeChunks(ecflow_suite_dir, suite_id, remove) + result <- .MergeChunks(ecflow_suite_dir, suite_id, remove) t_end_merge <- Sys.time() timings[['merge']] <- as.numeric(difftime(t_end_merge, t_begin_merge, units = 'secs')) received_files <- list.files(ecflow_suite_dir_suite, full.names = TRUE) diff --git a/R/Sort.R b/R/Sort.R index 9445f48..7882da8 100644 --- a/R/Sort.R +++ b/R/Sort.R @@ -10,10 +10,11 @@ #'values, where any values beyond the limits specified in the parameters #'\code{start} and \code{end} is applied a modulus to fall in the specified #'range. This is useful for circular coordinates such as the Earth longitudes. - +#'@name Sort +#'@alias CircularSort #'@param start A numeric indicating the lower bound of the circular range. #'@param end A numeric indicating the upper bound of the circular range. -#'@param {\dots} Additional parameters to adjust the reorderig (sent internally +#'@param \code{\dots} Additional parameters to adjust the reorderig (sent internally #' to the function \code{sort()}). #' #'@return diff --git a/R/Start.R b/R/Start.R index 1f3fb7a..ff8f367 100644 --- a/R/Start.R +++ b/R/Start.R @@ -70,7 +70,7 @@ #'in the measure that it is retrieved by the interface functions for a specific #'file format. #' -#'@param {\dots} A selection of custemized parameters depending on the data +#'@param \code{\dots} A selection of custemized parameters depending on the data #'format. When we retrieve data from one or a collection of data sets, #'the involved data can be perceived as belonging to a large multi-dimensional #'array. For instance, let us consider an example case. We want to retrieve data @@ -627,6 +627,13 @@ #' example, if the dimension 'time' extends across the dimension 'chunk' and #' \code{merge_across_dims = TRUE}, the resulting data array will only contain #' only the dimension 'time' as long as all the chunks together. +#'@param merge_across_dims_narm A logical value indicating whether to remove +#' the additional NAs from data when parameter 'merge_across_dims' is TRUE. +#' It is helpful when the length of the to-be-merged dimension is different +#' across another dimension. For example, if the dimension 'time' extends +#' across dimension 'chunk', and the time length along the first chunk is 2 +#' while along the second chunk is 10. Setting this parameter as TRUE can +#' remove the additional 8 NAs at position 3 to 10. The default value is FALSE. #'@param split_multiselected_dims A logical value indicating whether to split a #' dimension that has been selected with a multidimensional array of selectors #' into as many dimensions as present in the selector array. The default value @@ -761,6 +768,7 @@ #' time = 'sdate'), #' retrieve = FALSE) #' +#'@import bigmemory multiApply parallel abind future #'@export Start <- function(..., # dim = indices/selectors, # dim_var = 'var', @@ -2816,7 +2824,7 @@ Start <- function(..., # dim = indices/selectors, #NOTE: the possible case? if (goes_across_prime_meridian & sub_array_of_indices[[1]] > sub_array_of_indices[[2]]) { - .stop("The case is goes_across_prime_meridian but no adjustion for the indices!") + stop("The case is goes_across_prime_meridian but no adjustion for the indices!") } if (any(is.na(sub_array_of_indices))) { @@ -3022,7 +3030,7 @@ Start <- function(..., # dim = indices/selectors, # Before changing crop, first we need to find the name of longitude. # NOTE: The potential bug here (also the bug for CDORemapper): the lon name # is limited (only the ones listed in .KnownLonNames() are available. - known_lon_names <- s2dverification:::.KnownLonNames() + known_lon_names <- .KnownLonNames() lon_name <- names(subset_vars_to_transform)[which(names(subset_vars_to_transform) %in% known_lon_names)[1]] # NOTE: The cases not considered: (1) if lon reorder(decreasing = T) @@ -3656,10 +3664,10 @@ Start <- function(..., # dim = indices/selectors, # TODO: try performance of storing all in cols instead of rows # Create the shared memory array, and a pointer to it, to be sent # to the work pieces. - data_array <- big.matrix(nrow = prod(final_dims), ncol = 1) - shared_matrix_pointer <- describe(data_array) + data_array <- bigmemory::big.matrix(nrow = prod(final_dims), ncol = 1) + shared_matrix_pointer <- bigmemory::describe(data_array) if (is.null(num_procs)) { - num_procs <- availableCores() + num_procs <- future::availableCores() } # Creating a shared tmp folder to store metadata from each chunk array_of_metadata_flags <- array(FALSE, dim = dim(array_of_files_to_load)) @@ -3877,18 +3885,18 @@ Start <- function(..., # dim = indices/selectors, transform_params = transform_params, silent = silent, debug = debug) } else { - cluster <- makeCluster(num_procs, outfile = "") + cluster <- parallel::makeCluster(num_procs, outfile = "") # Send the heavy work to the workers work_errors <- try({ - found_files <- clusterApplyLB(cluster, work_pieces, .LoadDataFile, - shared_matrix_pointer = shared_matrix_pointer, - file_data_reader = file_data_reader, - synonims = synonims, - transform = transform, - transform_params = transform_params, - silent = silent, debug = debug) + found_files <- parallel::clusterApplyLB(cluster, work_pieces, .LoadDataFile, + shared_matrix_pointer = shared_matrix_pointer, + file_data_reader = file_data_reader, + synonims = synonims, + transform = transform, + transform_params = transform_params, + silent = silent, debug = debug) }) - stopCluster(cluster) + parallel::stopCluster(cluster) } if (!silent) { diff --git a/R/Utils.R b/R/Utils.R index 2c492ce..62ce9cb 100644 --- a/R/Utils.R +++ b/R/Utils.R @@ -1,11 +1,26 @@ +#'@name indices +#'@aliases values chunk +#'@title Specify dimension selectors +#'@description The helper functions for use in a \code{Start()} call to define +#'the desired range of dimensions. \code{indices()} selects the indices of the +#'coordinate variable from original data, and \code{values()} specifies the +#'actual value to be matched with the coordinate variable. See details in the +#' documentation of the parameter \code{\dots} of the function \code{Start()}. +#'@param x A numeric vector or a list with two nemeric elements. +#'@return Same as input, but with additional attribute 'indices', 'values', and +#' 'chunk'. #'@import abind +#' +#'@rdname indices +#'@export indices <- function(x) { attr(x, 'indices') <- TRUE attr(x, 'values') <- FALSE attr(x, 'chunk') <- c(chunk = 1, n_chunks = 1) x } - +#'@rdname indices +#'@export values <- function(x) { attr(x, 'indices') <- FALSE attr(x, 'values') <- TRUE @@ -13,7 +28,7 @@ values <- function(x) { x } -chunk <- function(chunk, n_chunks, selectors) { +.chunk <- function(chunk, n_chunks, selectors) { if (any(chunk > n_chunks)) { stop("Requested chunk index out of bounds.") } diff --git a/man/CircularSort.Rd b/man/CircularSort.Rd deleted file mode 100644 index e0a7a5c..0000000 --- a/man/CircularSort.Rd +++ /dev/null @@ -1,38 +0,0 @@ -\name{CircularSort} -\alias{CircularSort} -\title{Circular Sort Dimension Reorder for 'startR'} -\description{ -This is a function that generates a reorder function intended for use as parameter \code{_reorder} in a call to the function \code{Start()} in the package 'startR'. This function complies with the input/output interface required by \code{Start()} defined in the documentation for the parameter \dots of that function. -\cr\cr -The applied reordering consists of a circular sort of the coordinate variable values, where any values beyond the limits specified in the parameters \code{start} and \code{end} is applied a modulus to fall in the specified range. This is useful for circular dimensions such as the Earth longitudes. -} -\usage{ -CircularSort(start, end, ...) -} -\arguments{ - \item{start}{ -Numeric lower bound of the circular range. - } - \item{end}{ -Numeric upper bound of the circular range. - } - \item{\dots}{ -Additional parameters to adjust the reorderig (sent internally to the function \code{sort()}). - } -} -\value{ -List with the reordered values in the component \code{$x} and the permutation indices in the component \code{$ix}. See details in the documentation of the parameter \dots of the function \code{Start()}. -} -\author{ -History:\cr -0.0 - 2017-04 (N. Manubens, \email{nicolau.manubens at bsc.es}) - Original code -} -\seealso{ -\code{\link[startR]{Sort}} -} -\examples{ -## Check https://earth.bsc.es/gitlab/es/startR for step-by-step examples -## of Start() that use CircularSort(). -} -\keyword{array} -\keyword{manip} -- GitLab From e059d64568d538861342992c6cf781a6d0458b8d Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 29 Jul 2020 17:38:06 +0200 Subject: [PATCH 25/60] Revise for R CMD check --- NAMESPACE | 7 +++++++ man/AddStep.Rd | 2 +- man/ByChunks.Rd | 4 ++-- man/CDORemapper.Rd | 2 +- man/Sort.Rd | 2 +- man/Start.Rd | 10 +++++++++- 6 files changed, 21 insertions(+), 6 deletions(-) diff --git a/NAMESPACE b/NAMESPACE index 49d546d..93b16a6 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -16,5 +16,12 @@ export(Sort) export(Start) export(Step) export(Subset) +export(indices) +export(values) +import(abind) +import(bigmemory) import(easyNCDF) +import(future) +import(multiApply) +import(parallel) importFrom(s2dverification,CDORemap) diff --git a/man/AddStep.Rd b/man/AddStep.Rd index 4e38414..c61d81c 100644 --- a/man/AddStep.Rd +++ b/man/AddStep.Rd @@ -12,7 +12,7 @@ Start(), indicating the data to be processed.} \item{step_fun}{A startR step function as returned by Step().} -\item{{\dots}}{Additional parameters for the inputs of function defined in +\item{\code{\dots}}{Additional parameters for the inputs of function defined in 'step_fun' by Step().} } \value{ diff --git a/man/ByChunks.Rd b/man/ByChunks.Rd index 880d759..7156084 100644 --- a/man/ByChunks.Rd +++ b/man/ByChunks.Rd @@ -59,7 +59,7 @@ object with all the information of the startR execution that can be stored in your disk. After that, the R session can be closed and the results can be collected later with the Collect() function. The default value is TRUE.} -\item{{\dots}}{Additional parameters for the inputs of 'step_fun'.} +\item{\code{\dots}}{Additional parameters for the inputs of 'step_fun'.} } \value{ A list of data arrays for the output returned by the last step in the @@ -73,7 +73,7 @@ profiling information. } \examples{ # ByChunks() is internally used in Compute(), not intended to be used by - users. The example just illustrates the inputs of ByChunks(). +# users. The example just illustrates the inputs of ByChunks(). data_path <- system.file('sample_data', package = 'startR') path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') sdates <- c('200011', '200012') diff --git a/man/CDORemapper.Rd b/man/CDORemapper.Rd index de394e3..fe159c2 100644 --- a/man/CDORemapper.Rd +++ b/man/CDORemapper.Rd @@ -18,7 +18,7 @@ parameter 'transform' of the function Start().} the file parameter 'data_array' comes from. See details in the documentation of the parameter 'transform' of the function Start(). The default value is NULL.} -\item{{\dots}}{A list of additional parameters to adjust the transform process, +\item{\code{\dots}}{A list of additional parameters to adjust the transform process, as provided in the parameter 'transform_params' in a Start() call. See details in the documentation of the parameter 'transform' of the function Start().} } diff --git a/man/Sort.Rd b/man/Sort.Rd index ea4d893..de2ec5b 100644 --- a/man/Sort.Rd +++ b/man/Sort.Rd @@ -14,7 +14,7 @@ CircularSort(start, end, ...) \item{end}{A numeric indicating the upper bound of the circular range.} -\item{{\dots}}{Additional parameters to adjust the reorderig (sent internally +\item{\code{\dots}}{Additional parameters to adjust the reorderig (sent internally to the function \code{sort()}).} } \value{ diff --git a/man/Start.Rd b/man/Start.Rd index fd8c3db..4534e03 100644 --- a/man/Start.Rd +++ b/man/Start.Rd @@ -313,6 +313,14 @@ example, if the dimension 'time' extends across the dimension 'chunk' and \code{merge_across_dims = TRUE}, the resulting data array will only contain only the dimension 'time' as long as all the chunks together.} +\item{merge_across_dims_narm}{A logical value indicating whether to remove +the additional NAs from data when parameter 'merge_across_dims' is TRUE. +It is helpful when the length of the to-be-merged dimension is different +across another dimension. For example, if the dimension 'time' extends +across dimension 'chunk', and the time length along the first chunk is 2 +while along the second chunk is 10. Setting this parameter as TRUE can +remove the additional 8 NAs at position 3 to 10. The default value is FALSE.} + \item{split_multiselected_dims}{A logical value indicating whether to split a dimension that has been selected with a multidimensional array of selectors into as many dimensions as present in the selector array. The default value @@ -369,7 +377,7 @@ or not (TRUE). The default value is FALSE.} progress and operations in a \code{Start} call (TRUE) or not (FALSE). The default value is FALSE.} -\item{{\dots}}{A selection of custemized parameters depending on the data +\item{\code{\dots}}{A selection of custemized parameters depending on the data format. When we retrieve data from one or a collection of data sets, the involved data can be perceived as belonging to a large multi-dimensional array. For instance, let us consider an example case. We want to retrieve data -- GitLab From 2324b60af903f75bbdd65ef41b680284ea629bae Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 29 Jul 2020 17:58:23 +0200 Subject: [PATCH 26/60] Correct \dots in headers --- R/AddStep.R | 2 +- R/ByChunks.R | 2 +- R/CDORemapper.R | 2 +- R/SelectorChecker.R | 6 +++--- R/Sort.R | 4 ++-- R/Start.R | 2 +- R/Utils.R | 2 +- man/AddStep.Rd | 2 +- man/ByChunks.Rd | 2 +- man/CDORemapper.Rd | 2 +- man/SelectorChecker.Rd | 6 +++--- man/Sort.Rd | 2 +- man/Start.Rd | 2 +- man/indices.Rd | 33 ++++++++++++++++----------------- 14 files changed, 34 insertions(+), 35 deletions(-) diff --git a/R/AddStep.R b/R/AddStep.R index 918a26a..1601850 100644 --- a/R/AddStep.R +++ b/R/AddStep.R @@ -6,7 +6,7 @@ #'@param inputs One or a list of objects of the class 'startR_cube' returned by #' Start(), indicating the data to be processed. #'@param step_fun A startR step function as returned by Step(). -#'@param \code{\dots} Additional parameters for the inputs of function defined in +#'@param \dots Additional parameters for the inputs of function defined in #' 'step_fun' by Step(). #' #'@return A list of the class 'startR_workflow' containing all the objects diff --git a/R/ByChunks.R b/R/ByChunks.R index 2b226ca..9166a50 100644 --- a/R/ByChunks.R +++ b/R/ByChunks.R @@ -8,7 +8,7 @@ #' details of operation. #'@param cube_headers A list with the class 'startR_cube' returned by Start(). #' It contains the details of data to be operated. -#'@param \code{\dots} Additional parameters for the inputs of 'step_fun'. +#'@param \dots Additional parameters for the inputs of 'step_fun'. #'@param chunks A named list of dimensions which to split the data along and #' the number of chunks to make for each. The chunked dimension can only be #' those not required as the target dimension in function Step(). The default diff --git a/R/CDORemapper.R b/R/CDORemapper.R index 9e01b78..f805390 100644 --- a/R/CDORemapper.R +++ b/R/CDORemapper.R @@ -16,7 +16,7 @@ #'@param file_selectors A charcter vector indicating the information of the path of #' the file parameter 'data_array' comes from. See details in the documentation of #' the parameter 'transform' of the function Start(). The default value is NULL. -#'@param \code{\dots} A list of additional parameters to adjust the transform process, +#'@param \dots A list of additional parameters to adjust the transform process, #' as provided in the parameter 'transform_params' in a Start() call. See details #' in the documentation of the parameter 'transform' of the function Start(). #' diff --git a/R/SelectorChecker.R b/R/SelectorChecker.R index d5d90f9..a5c8a60 100644 --- a/R/SelectorChecker.R +++ b/R/SelectorChecker.R @@ -10,11 +10,11 @@ #'@param selectors A vector or a list of two of numeric indices or variable #' values to be retrieved for a dimension, automatically provided by Start(). #' See details in the documentation of the parameters 'selector_checker' and -#' {\dots} of the function Start(). +#' '\dots' of the function Start(). #'@param var A vector of values of a coordinate variable for which to search #' matches with the provided indices or values in the parameter 'selectors', #' automatically provided by Start(). See details in the documentation of the -#' parameters 'selector_checker' and {\dots} of the function Start(). The +#' parameters 'selector_checker' and '\dots' of the function Start(). The #' default value is NULL. When not specified, SelectorChecker() simply returns #' the input indices. #'@param return_indices A logical value automatically configured by Start(), @@ -22,7 +22,7 @@ #' after the matching. The default value is TRUE. #'@param tolerance A numeric value indicating a tolerance value to be used in #' the matching of 'selectors' and 'var'. See documentation on -#' _tolerance in {\dots} in the documentation of the function Start(). +#' _tolerance in \dots in the documentation of the function Start(). #' The default value is NULL. #' #'@return A vector of either the indices of the matching values (if diff --git a/R/Sort.R b/R/Sort.R index 7882da8..bf7789c 100644 --- a/R/Sort.R +++ b/R/Sort.R @@ -11,10 +11,10 @@ #'\code{start} and \code{end} is applied a modulus to fall in the specified #'range. This is useful for circular coordinates such as the Earth longitudes. #'@name Sort -#'@alias CircularSort +#'@aliases CircularSort #'@param start A numeric indicating the lower bound of the circular range. #'@param end A numeric indicating the upper bound of the circular range. -#'@param \code{\dots} Additional parameters to adjust the reorderig (sent internally +#'@param \dots Additional parameters to adjust the reorderig (sent internally #' to the function \code{sort()}). #' #'@return diff --git a/R/Start.R b/R/Start.R index ff8f367..5174100 100644 --- a/R/Start.R +++ b/R/Start.R @@ -70,7 +70,7 @@ #'in the measure that it is retrieved by the interface functions for a specific #'file format. #' -#'@param \code{\dots} A selection of custemized parameters depending on the data +#'@param \dots A selection of custemized parameters depending on the data #'format. When we retrieve data from one or a collection of data sets, #'the involved data can be perceived as belonging to a large multi-dimensional #'array. For instance, let us consider an example case. We want to retrieve data diff --git a/R/Utils.R b/R/Utils.R index 62ce9cb..c4e7039 100644 --- a/R/Utils.R +++ b/R/Utils.R @@ -1,5 +1,5 @@ #'@name indices -#'@aliases values chunk +#'@aliases values #'@title Specify dimension selectors #'@description The helper functions for use in a \code{Start()} call to define #'the desired range of dimensions. \code{indices()} selects the indices of the diff --git a/man/AddStep.Rd b/man/AddStep.Rd index c61d81c..d40208e 100644 --- a/man/AddStep.Rd +++ b/man/AddStep.Rd @@ -12,7 +12,7 @@ Start(), indicating the data to be processed.} \item{step_fun}{A startR step function as returned by Step().} -\item{\code{\dots}}{Additional parameters for the inputs of function defined in +\item{\dots}{Additional parameters for the inputs of function defined in 'step_fun' by Step().} } \value{ diff --git a/man/ByChunks.Rd b/man/ByChunks.Rd index 7156084..8d61fa1 100644 --- a/man/ByChunks.Rd +++ b/man/ByChunks.Rd @@ -59,7 +59,7 @@ object with all the information of the startR execution that can be stored in your disk. After that, the R session can be closed and the results can be collected later with the Collect() function. The default value is TRUE.} -\item{\code{\dots}}{Additional parameters for the inputs of 'step_fun'.} +\item{\dots}{Additional parameters for the inputs of 'step_fun'.} } \value{ A list of data arrays for the output returned by the last step in the diff --git a/man/CDORemapper.Rd b/man/CDORemapper.Rd index fe159c2..c5b2f4e 100644 --- a/man/CDORemapper.Rd +++ b/man/CDORemapper.Rd @@ -18,7 +18,7 @@ parameter 'transform' of the function Start().} the file parameter 'data_array' comes from. See details in the documentation of the parameter 'transform' of the function Start(). The default value is NULL.} -\item{\code{\dots}}{A list of additional parameters to adjust the transform process, +\item{\dots}{A list of additional parameters to adjust the transform process, as provided in the parameter 'transform_params' in a Start() call. See details in the documentation of the parameter 'transform' of the function Start().} } diff --git a/man/SelectorChecker.Rd b/man/SelectorChecker.Rd index 6bbe17a..d02c650 100644 --- a/man/SelectorChecker.Rd +++ b/man/SelectorChecker.Rd @@ -11,12 +11,12 @@ SelectorChecker(selectors, var = NULL, return_indices = TRUE, \item{selectors}{A vector or a list of two of numeric indices or variable values to be retrieved for a dimension, automatically provided by Start(). See details in the documentation of the parameters 'selector_checker' and -{\dots} of the function Start().} +'\dots' of the function Start().} \item{var}{A vector of values of a coordinate variable for which to search matches with the provided indices or values in the parameter 'selectors', automatically provided by Start(). See details in the documentation of the -parameters 'selector_checker' and {\dots} of the function Start(). The +parameters 'selector_checker' and '\dots' of the function Start(). The default value is NULL. When not specified, SelectorChecker() simply returns the input indices.} @@ -26,7 +26,7 @@ after the matching. The default value is TRUE.} \item{tolerance}{A numeric value indicating a tolerance value to be used in the matching of 'selectors' and 'var'. See documentation on -_tolerance in {\dots} in the documentation of the function Start(). +_tolerance in \dots in the documentation of the function Start(). The default value is NULL.} } \value{ diff --git a/man/Sort.Rd b/man/Sort.Rd index de2ec5b..3411f86 100644 --- a/man/Sort.Rd +++ b/man/Sort.Rd @@ -14,7 +14,7 @@ CircularSort(start, end, ...) \item{end}{A numeric indicating the upper bound of the circular range.} -\item{\code{\dots}}{Additional parameters to adjust the reorderig (sent internally +\item{\dots}{Additional parameters to adjust the reorderig (sent internally to the function \code{sort()}).} } \value{ diff --git a/man/Start.Rd b/man/Start.Rd index 4534e03..121e2c5 100644 --- a/man/Start.Rd +++ b/man/Start.Rd @@ -377,7 +377,7 @@ or not (TRUE). The default value is FALSE.} progress and operations in a \code{Start} call (TRUE) or not (FALSE). The default value is FALSE.} -\item{\code{\dots}}{A selection of custemized parameters depending on the data +\item{\dots}{A selection of custemized parameters depending on the data format. When we retrieve data from one or a collection of data sets, the involved data can be perceived as belonging to a large multi-dimensional array. For instance, let us consider an example case. We want to retrieve data diff --git a/man/indices.Rd b/man/indices.Rd index e5b086f..4bb890b 100644 --- a/man/indices.Rd +++ b/man/indices.Rd @@ -1,27 +1,26 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/Utils.R \name{indices} \alias{indices} -\title{Mark Dimension Selectors as Indices} -\description{ -Helper function intended for use in a call to the function \code{Start} in the package 'startR', to explicitly mark that a set of provided indices to subset one of the requested dimensions are actually indices and not values to be matched against a coordinate variable. See details in the documentation of the parameter \dots of the function \code{Start()}. -} +\alias{values} +\title{Specify dimension selectors} \usage{ indices(x) + +values(x) } \arguments{ - \item{x}{ -Numeric vector or list with two numeric elements. - } +\item{x}{A numeric vector or a list with two nemeric elements.} } \value{ -The same as the input, but with an additional attribute 'indices' with the value TRUE, marking the indices as numeric indices. +Same as input, but with additional attribute 'indices', 'values', and + 'chunk'. } -\author{ -See details in the documentation of the parameter \code{transform} of the function \code{Start()}. -} -\examples{ -## Check https://earth.bsc.es/gitlab/es/startR for step-by-step examples -## of Start() that use indices(). +\description{ +The helper functions for use in a \code{Start()} call to define +the desired range of dimensions. \code{indices()} selects the indices of the +coordinate variable from original data, and \code{values()} specifies the +actual value to be matched with the coordinate variable. See details in the +documentation of the parameter \code{\dots} of the function \code{Start()}. } -\keyword{IO} -\keyword{array} -\keyword{manip} + -- GitLab From 82bd35c4f947bbff2a37032d82aea30bd2bb6341 Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 29 Jul 2020 18:14:55 +0200 Subject: [PATCH 27/60] Rbuildignore tests/ and inst/doc/ --- .Rbuildignore | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.Rbuildignore b/.Rbuildignore index 49c646d..b44a733 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -3,10 +3,10 @@ .*\.tar.gz$ .*\.pdf$ .*^(?!inst)\.nc$ -sample_data README\.Rmd$ README\.md$ \..*\.RData$ vignettes .gitlab-ci.yml - +^inst/doc/$ +^tests/$ -- GitLab From fe2b8434a9e5802d7231d7f654187783afd1ce84 Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 29 Jul 2020 19:35:52 +0200 Subject: [PATCH 28/60] Try fixing .Rbuildignore --- .Rbuildignore | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/.Rbuildignore b/.Rbuildignore index b44a733..d632ce4 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -10,3 +10,7 @@ vignettes .gitlab-ci.yml ^inst/doc/$ ^tests/$ +^inst/doc/figures/$ +^inst/doc/usecase/$ +^tests/testthat/*$ +^inst/doc/usecase/*$ -- GitLab From ae9f326d0bebac274c54cea6ae124e92ee30a07a Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 29 Jul 2020 19:40:26 +0200 Subject: [PATCH 29/60] Try fixing .Rbuildignore --- .Rbuildignore | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/.Rbuildignore b/.Rbuildignore index d632ce4..0b4e057 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -8,9 +8,11 @@ README\.md$ \..*\.RData$ vignettes .gitlab-ci.yml +^inst/chunking/$ ^inst/doc/$ +^inst/doc/*$ ^tests/$ ^inst/doc/figures/$ ^inst/doc/usecase/$ ^tests/testthat/*$ -^inst/doc/usecase/*$ +^inst/PlotProfiling\.R$ -- GitLab From 2a01e4eeac8a6cf9a834db305100a14f5365f3d7 Mon Sep 17 00:00:00 2001 From: aho Date: Thu, 30 Jul 2020 10:27:04 +0200 Subject: [PATCH 30/60] Change sample_data/ to extdata/ --- R/AddStep.R | 2 +- R/ByChunks.R | 2 +- R/CDORemapper.R | 2 +- R/Collect.R | 2 +- R/Compute.R | 2 +- R/NcCloser.R | 2 +- R/NcDataReader.R | 2 +- R/NcDimReader.R | 2 +- R/NcOpener.R | 2 +- R/NcVarReader.R | 2 +- R/Sort.R | 2 +- R/Start.R | 2 +- R/Step.R | 2 +- R/Subset.R | 2 +- .../exp/monthly_mean/tos/tos_19851101.nc | Bin .../exp/monthly_mean/tos/tos_19901101.nc | Bin .../exp/monthly_mean/tos/tos_19951101.nc | Bin .../exp/monthly_mean/tos/tos_20001101.nc | Bin .../exp/monthly_mean/tos/tos_20051101.nc | Bin .../obs/monthly_mean/tos/tos_198511.nc | Bin .../obs/monthly_mean/tos/tos_198512.nc | Bin .../obs/monthly_mean/tos/tos_198601.nc | Bin .../obs/monthly_mean/tos/tos_198602.nc | Bin .../obs/monthly_mean/tos/tos_198603.nc | Bin .../obs/monthly_mean/tos/tos_198604.nc | Bin .../obs/monthly_mean/tos/tos_198605.nc | Bin .../obs/monthly_mean/tos/tos_198606.nc | Bin .../obs/monthly_mean/tos/tos_198607.nc | Bin .../obs/monthly_mean/tos/tos_198608.nc | Bin .../obs/monthly_mean/tos/tos_198609.nc | Bin 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extdata}/obs/monthly_mean/tos/tos_200911.nc (100%) rename inst/{sample_data => extdata}/obs/monthly_mean/tos/tos_200912.nc (100%) rename inst/{sample_data => extdata}/obs/monthly_mean/tos/tos_201001.nc (100%) rename inst/{sample_data => extdata}/obs/monthly_mean/tos/tos_201002.nc (100%) rename inst/{sample_data => extdata}/obs/monthly_mean/tos/tos_201003.nc (100%) rename inst/{sample_data => extdata}/obs/monthly_mean/tos/tos_201004.nc (100%) rename inst/{sample_data => extdata}/obs/monthly_mean/tos/tos_201005.nc (100%) rename inst/{sample_data => extdata}/obs/monthly_mean/tos/tos_201006.nc (100%) rename inst/{sample_data => extdata}/obs/monthly_mean/tos/tos_201007.nc (100%) rename inst/{sample_data => extdata}/obs/monthly_mean/tos/tos_201008.nc (100%) rename inst/{sample_data => extdata}/obs/monthly_mean/tos/tos_201009.nc (100%) rename inst/{sample_data => extdata}/obs/monthly_mean/tos/tos_201010.nc (100%) diff --git a/R/AddStep.R b/R/AddStep.R index 1601850..5c3fdaf 100644 --- a/R/AddStep.R +++ b/R/AddStep.R @@ -12,7 +12,7 @@ #'@return A list of the class 'startR_workflow' containing all the objects #' needed for the data operation. #'@examples -#' data_path <- system.file('sample_data', package = 'startR') +#' data_path <- system.file('extdata', package = 'startR') #' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') #' sdates <- c('200011', '200012') #' data <- Start(dat = path_obs, diff --git a/R/ByChunks.R b/R/ByChunks.R index 9166a50..80cffe2 100644 --- a/R/ByChunks.R +++ b/R/ByChunks.R @@ -52,7 +52,7 @@ #'@examples #' # ByChunks() is internally used in Compute(), not intended to be used by #' # users. The example just illustrates the inputs of ByChunks(). -#' data_path <- system.file('sample_data', package = 'startR') +#' data_path <- system.file('extdata', package = 'startR') #' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') #' sdates <- c('200011', '200012') #' data <- Start(dat = path_obs, diff --git a/R/CDORemapper.R b/R/CDORemapper.R index f805390..ac1535b 100644 --- a/R/CDORemapper.R +++ b/R/CDORemapper.R @@ -22,7 +22,7 @@ #' #'@examples #'# Used in Start(): -#' data_path <- system.file('sample_data', package = 'startR') +#' data_path <- system.file('extdata', package = 'startR') #' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') #' sdates <- c('200011') #' data <- Start(dat = path_obs, diff --git a/R/Collect.R b/R/Collect.R index 45449ff..2eca915 100644 --- a/R/Collect.R +++ b/R/Collect.R @@ -24,7 +24,7 @@ #'@return A list of merged data array. #' #'@examples -#' data_path <- system.file('sample_data', package = 'startR') +#' data_path <- system.file('extdata', package = 'startR') #' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') #' sdates <- c('200011', '200012') #' data <- Start(dat = path_obs, diff --git a/R/Compute.R b/R/Compute.R index 5d441e0..63bc2ee 100644 --- a/R/Compute.R +++ b/R/Compute.R @@ -55,7 +55,7 @@ #' startR execution (wait = FALSE). The configuration details and profiling #' information are attached as attributes to the returned list of arrays. #'@examples -#' data_path <- system.file('sample_data', package = 'startR') +#' data_path <- system.file('extdata', package = 'startR') #' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') #' sdates <- c('200011', '200012') #' data <- Start(dat = path_obs, diff --git a/R/NcCloser.R b/R/NcCloser.R index f7decab..3ec8d60 100644 --- a/R/NcCloser.R +++ b/R/NcCloser.R @@ -12,7 +12,7 @@ #' parameter 'file_closer' of the function Start(). #'@return This function returns NULL. #'@examples -#'data_path <- system.file('sample_data', package = 'startR') +#'data_path <- system.file('extdata', package = 'startR') #'path_obs <- file.path(data_path, 'obs/monthly_mean/tos/tos_200011.nc') #'connection <- NcOpener(path_obs) #'NcCloser(connection) diff --git a/R/NcDataReader.R b/R/NcDataReader.R index 139a9d5..54b838a 100644 --- a/R/NcDataReader.R +++ b/R/NcDataReader.R @@ -33,7 +33,7 @@ #' additional auxiliary data. See details in the documentation of the parameter #' 'file_data_reader' of the function Start(). #'@examples -#' data_path <- system.file('sample_data', package = 'startR') +#' data_path <- system.file('extdata', package = 'startR', mustWork = TRUE) #' file_to_open <- file.path(data_path, 'obs/monthly_mean/tos/tos_200011.nc') #' file_selectors <- c(dat = 'dat1', var = 'tos', sdate = '200011') #' first_round_indices <- list(time = 1, latitude = 1:8, longitude = 1:16) diff --git a/R/NcDimReader.R b/R/NcDimReader.R index 4e0874b..c1576f0 100644 --- a/R/NcDimReader.R +++ b/R/NcDimReader.R @@ -30,7 +30,7 @@ #'@return A named numeric vector with the names and sizes of the dimensions of #' the requested file. #'@examples -#' data_path <- system.file('sample_data', package = 'startR') +#' data_path <- system.file('extdata', package = 'startR') #' file_to_open <- file.path(data_path, 'obs/monthly_mean/tos/tos_200011.nc') #' file_selectors <- c(dat = 'dat1', var = 'tos', sdate = '200011') #' first_round_indices <- list(time = 1, latitude = 1:8, longitude = 1:16) diff --git a/R/NcOpener.R b/R/NcOpener.R index ec44ac0..731b254 100644 --- a/R/NcOpener.R +++ b/R/NcOpener.R @@ -14,7 +14,7 @@ #' information as returned by nc_open() in the package 'ncdf4'. See details in #' the documentation of the parameter 'file_opener' of the function Start(). #'@examples -#'data_path <- system.file('sample_data', package = 'startR') +#'data_path <- system.file('extdata', package = 'startR') #'path_obs <- file.path(data_path, 'obs/monthly_mean/tos/tos_200011.nc') #'connection <- NcOpener(path_obs) #'NcCloser(connection) diff --git a/R/NcVarReader.R b/R/NcVarReader.R index 3aa5bf9..ead15a1 100644 --- a/R/NcVarReader.R +++ b/R/NcVarReader.R @@ -31,7 +31,7 @@ #' in the documentation of the parameter 'file_var_reader' of the function #' Start(). #'@examples -#' data_path <- system.file('sample_data', package = 'startR') +#' data_path <- system.file('extdata', package = 'startR') #' file_to_open <- file.path(data_path, 'obs/monthly_mean/tos/tos_200011.nc') #' file_selectors <- c(dat = 'dat1', var = 'tos', sdate = '200011') #' synonims <- list(dat = 'dat', var = 'var', sdate = 'sdate', time = 'time', diff --git a/R/Sort.R b/R/Sort.R index bf7789c..d023b0f 100644 --- a/R/Sort.R +++ b/R/Sort.R @@ -27,7 +27,7 @@ #'} #'@examples #' # Used in Start(): -#' data_path <- system.file('sample_data', package = 'startR') +#' data_path <- system.file('extdata', package = 'startR') #' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') #' sdates <- c('200011', '200012') #' data <- Start(dat = path_obs, diff --git a/R/Start.R b/R/Start.R index 5174100..7601e8e 100644 --- a/R/Start.R +++ b/R/Start.R @@ -754,7 +754,7 @@ #' } #' #'@examples -#' data_path <- system.file('sample_data', package = 'startR') +#' data_path <- system.file('extdata', package = 'startR') #' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') #' sdates <- c('200011', '200012') #' data <- Start(dat = path_obs, diff --git a/R/Step.R b/R/Step.R index 1724332..829ddee 100644 --- a/R/Step.R +++ b/R/Step.R @@ -27,7 +27,7 @@ #'@return A closure that contains all the objects assigned. It serves as the #' input of Addstep(). #'@examples -#' data_path <- system.file('sample_data', package = 'startR') +#' data_path <- system.file('extdata', package = 'startR') #' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') #' sdates <- c('200011', '200012') #' data <- Start(dat = path_obs, diff --git a/R/Subset.R b/R/Subset.R index 4b7ef42..b5b22f1 100644 --- a/R/Subset.R +++ b/R/Subset.R @@ -26,7 +26,7 @@ #' or TRUE, 'none' or FALSE, 'selected', and 'non-selected'. #'@return An array same as the input 'x' except the dimensions being subsetted. #'@examples -#' data_path <- system.file('sample_data', package = 'startR') +#' data_path <- system.file('extdata', package = 'startR') #' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') #' sdates <- c('200011', '200012') #' data <- Start(dat = path_obs, diff --git a/inst/sample_data/exp/monthly_mean/tos/tos_19851101.nc b/inst/extdata/exp/monthly_mean/tos/tos_19851101.nc similarity index 100% rename from inst/sample_data/exp/monthly_mean/tos/tos_19851101.nc rename to inst/extdata/exp/monthly_mean/tos/tos_19851101.nc diff --git a/inst/sample_data/exp/monthly_mean/tos/tos_19901101.nc b/inst/extdata/exp/monthly_mean/tos/tos_19901101.nc similarity index 100% rename from inst/sample_data/exp/monthly_mean/tos/tos_19901101.nc rename to inst/extdata/exp/monthly_mean/tos/tos_19901101.nc diff --git a/inst/sample_data/exp/monthly_mean/tos/tos_19951101.nc b/inst/extdata/exp/monthly_mean/tos/tos_19951101.nc similarity index 100% rename from inst/sample_data/exp/monthly_mean/tos/tos_19951101.nc rename to inst/extdata/exp/monthly_mean/tos/tos_19951101.nc diff --git a/inst/sample_data/exp/monthly_mean/tos/tos_20001101.nc b/inst/extdata/exp/monthly_mean/tos/tos_20001101.nc similarity index 100% rename from inst/sample_data/exp/monthly_mean/tos/tos_20001101.nc rename to inst/extdata/exp/monthly_mean/tos/tos_20001101.nc diff --git a/inst/sample_data/exp/monthly_mean/tos/tos_20051101.nc b/inst/extdata/exp/monthly_mean/tos/tos_20051101.nc similarity index 100% rename from inst/sample_data/exp/monthly_mean/tos/tos_20051101.nc rename to inst/extdata/exp/monthly_mean/tos/tos_20051101.nc diff --git a/inst/sample_data/obs/monthly_mean/tos/tos_198511.nc b/inst/extdata/obs/monthly_mean/tos/tos_198511.nc similarity index 100% rename from inst/sample_data/obs/monthly_mean/tos/tos_198511.nc rename to inst/extdata/obs/monthly_mean/tos/tos_198511.nc diff --git a/inst/sample_data/obs/monthly_mean/tos/tos_198512.nc b/inst/extdata/obs/monthly_mean/tos/tos_198512.nc similarity index 100% rename from inst/sample_data/obs/monthly_mean/tos/tos_198512.nc rename to inst/extdata/obs/monthly_mean/tos/tos_198512.nc diff --git a/inst/sample_data/obs/monthly_mean/tos/tos_198601.nc b/inst/extdata/obs/monthly_mean/tos/tos_198601.nc similarity index 100% rename from inst/sample_data/obs/monthly_mean/tos/tos_198601.nc rename to 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inst/extdata/obs/monthly_mean/tos/tos_200910.nc diff --git a/inst/sample_data/obs/monthly_mean/tos/tos_200911.nc b/inst/extdata/obs/monthly_mean/tos/tos_200911.nc similarity index 100% rename from inst/sample_data/obs/monthly_mean/tos/tos_200911.nc rename to inst/extdata/obs/monthly_mean/tos/tos_200911.nc diff --git a/inst/sample_data/obs/monthly_mean/tos/tos_200912.nc b/inst/extdata/obs/monthly_mean/tos/tos_200912.nc similarity index 100% rename from inst/sample_data/obs/monthly_mean/tos/tos_200912.nc rename to inst/extdata/obs/monthly_mean/tos/tos_200912.nc diff --git a/inst/sample_data/obs/monthly_mean/tos/tos_201001.nc b/inst/extdata/obs/monthly_mean/tos/tos_201001.nc similarity index 100% rename from inst/sample_data/obs/monthly_mean/tos/tos_201001.nc rename to inst/extdata/obs/monthly_mean/tos/tos_201001.nc diff --git a/inst/sample_data/obs/monthly_mean/tos/tos_201002.nc b/inst/extdata/obs/monthly_mean/tos/tos_201002.nc similarity index 100% rename from inst/sample_data/obs/monthly_mean/tos/tos_201002.nc rename to inst/extdata/obs/monthly_mean/tos/tos_201002.nc diff --git a/inst/sample_data/obs/monthly_mean/tos/tos_201003.nc b/inst/extdata/obs/monthly_mean/tos/tos_201003.nc similarity index 100% rename from inst/sample_data/obs/monthly_mean/tos/tos_201003.nc rename to inst/extdata/obs/monthly_mean/tos/tos_201003.nc diff --git a/inst/sample_data/obs/monthly_mean/tos/tos_201004.nc b/inst/extdata/obs/monthly_mean/tos/tos_201004.nc similarity index 100% rename from inst/sample_data/obs/monthly_mean/tos/tos_201004.nc rename to inst/extdata/obs/monthly_mean/tos/tos_201004.nc diff --git a/inst/sample_data/obs/monthly_mean/tos/tos_201005.nc b/inst/extdata/obs/monthly_mean/tos/tos_201005.nc similarity index 100% rename from inst/sample_data/obs/monthly_mean/tos/tos_201005.nc rename to inst/extdata/obs/monthly_mean/tos/tos_201005.nc diff --git a/inst/sample_data/obs/monthly_mean/tos/tos_201006.nc b/inst/extdata/obs/monthly_mean/tos/tos_201006.nc similarity index 100% rename from inst/sample_data/obs/monthly_mean/tos/tos_201006.nc rename to inst/extdata/obs/monthly_mean/tos/tos_201006.nc diff --git a/inst/sample_data/obs/monthly_mean/tos/tos_201007.nc b/inst/extdata/obs/monthly_mean/tos/tos_201007.nc similarity index 100% rename from inst/sample_data/obs/monthly_mean/tos/tos_201007.nc rename to inst/extdata/obs/monthly_mean/tos/tos_201007.nc diff --git a/inst/sample_data/obs/monthly_mean/tos/tos_201008.nc b/inst/extdata/obs/monthly_mean/tos/tos_201008.nc similarity index 100% rename from inst/sample_data/obs/monthly_mean/tos/tos_201008.nc rename to inst/extdata/obs/monthly_mean/tos/tos_201008.nc diff --git a/inst/sample_data/obs/monthly_mean/tos/tos_201009.nc b/inst/extdata/obs/monthly_mean/tos/tos_201009.nc similarity index 100% rename from inst/sample_data/obs/monthly_mean/tos/tos_201009.nc rename to inst/extdata/obs/monthly_mean/tos/tos_201009.nc diff --git a/inst/sample_data/obs/monthly_mean/tos/tos_201010.nc b/inst/extdata/obs/monthly_mean/tos/tos_201010.nc similarity index 100% rename from inst/sample_data/obs/monthly_mean/tos/tos_201010.nc rename to inst/extdata/obs/monthly_mean/tos/tos_201010.nc diff --git a/man/AddStep.Rd b/man/AddStep.Rd index d40208e..a0ecfaf 100644 --- a/man/AddStep.Rd +++ b/man/AddStep.Rd @@ -24,7 +24,7 @@ The step that combines the previous declared data and operation together to create the complete workflow. It is the final step before data processing. } \examples{ - data_path <- system.file('sample_data', package = 'startR') + data_path <- system.file('extdata', package = 'startR') path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') sdates <- c('200011', '200012') data <- Start(dat = path_obs, diff --git a/man/ByChunks.Rd b/man/ByChunks.Rd index 8d61fa1..456f5a7 100644 --- a/man/ByChunks.Rd +++ b/man/ByChunks.Rd @@ -74,7 +74,7 @@ profiling information. \examples{ # ByChunks() is internally used in Compute(), not intended to be used by # users. The example just illustrates the inputs of ByChunks(). - data_path <- system.file('sample_data', package = 'startR') + data_path <- system.file('extdata', package = 'startR') path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') sdates <- c('200011', '200012') data <- Start(dat = path_obs, diff --git a/man/CDORemapper.Rd b/man/CDORemapper.Rd index c5b2f4e..418bf5d 100644 --- a/man/CDORemapper.Rd +++ b/man/CDORemapper.Rd @@ -33,7 +33,7 @@ perform the interpolation, hence CDO is required to be installed. } \examples{ # Used in Start(): - data_path <- system.file('sample_data', package = 'startR') + data_path <- system.file('extdata', package = 'startR') path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') sdates <- c('200011') data <- Start(dat = path_obs, diff --git a/man/Collect.Rd b/man/Collect.Rd index a496c41..54c85ab 100644 --- a/man/Collect.Rd +++ b/man/Collect.Rd @@ -36,7 +36,7 @@ of results as one data array when the execution is done. See more details on \href{https://earth.bsc.es/gitlab/es/startR/}{startR GitLab}. } \examples{ - data_path <- system.file('sample_data', package = 'startR') + data_path <- system.file('extdata', package = 'startR') path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') sdates <- c('200011', '200012') data <- Start(dat = path_obs, diff --git a/man/Compute.Rd b/man/Compute.Rd index eb0efa6..a859cc2 100644 --- a/man/Compute.Rd +++ b/man/Compute.Rd @@ -76,7 +76,7 @@ return a single data object, including one or multiple multidimensional data arrays and additional metadata. } \examples{ - data_path <- system.file('sample_data', package = 'startR') + data_path <- system.file('extdata', package = 'startR') path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') sdates <- c('200011', '200012') data <- Start(dat = path_obs, diff --git a/man/NcCloser.Rd b/man/NcCloser.Rd index dbd8bca..df53096 100644 --- a/man/NcCloser.Rd +++ b/man/NcCloser.Rd @@ -23,7 +23,7 @@ This function uses the function NcClose() in the package 'easyNCDF', which in turn uses nc_close() in the package 'ncdf4'. } \examples{ -data_path <- system.file('sample_data', package = 'startR') +data_path <- system.file('extdata', package = 'startR') path_obs <- file.path(data_path, 'obs/monthly_mean/tos/tos_200011.nc') connection <- NcOpener(path_obs) NcCloser(connection) diff --git a/man/NcDataReader.Rd b/man/NcDataReader.Rd index 493469a..dc167c1 100644 --- a/man/NcDataReader.Rd +++ b/man/NcDataReader.Rd @@ -48,7 +48,7 @@ This function uses the function NcToArray() in the package 'easyNCDF', which in turn uses nc_var_get() in the package 'ncdf4'. } \examples{ - data_path <- system.file('sample_data', package = 'startR') + data_path <- system.file('extdata', package = 'startR', mustWork = TRUE) file_to_open <- file.path(data_path, 'obs/monthly_mean/tos/tos_200011.nc') file_selectors <- c(dat = 'dat1', var = 'tos', sdate = '200011') first_round_indices <- list(time = 1, latitude = 1:8, longitude = 1:16) diff --git a/man/NcDimReader.Rd b/man/NcDimReader.Rd index 84d3394..b695176 100644 --- a/man/NcDimReader.Rd +++ b/man/NcDimReader.Rd @@ -45,7 +45,7 @@ interface required by Start() defined in the documentation for the parameter This function uses the function NcReadDims() in the package 'easyNCDF'. } \examples{ - data_path <- system.file('sample_data', package = 'startR') + data_path <- system.file('extdata', package = 'startR') file_to_open <- file.path(data_path, 'obs/monthly_mean/tos/tos_200011.nc') file_selectors <- c(dat = 'dat1', var = 'tos', sdate = '200011') first_round_indices <- list(time = 1, latitude = 1:8, longitude = 1:16) diff --git a/man/NcOpener.Rd b/man/NcOpener.Rd index 3ab6764..7dabf24 100644 --- a/man/NcOpener.Rd +++ b/man/NcOpener.Rd @@ -25,7 +25,7 @@ This function uses the function NcOpen() in the package 'easyNCDF', which in turn uses nc_open() in the package 'ncdf4'. } \examples{ -data_path <- system.file('sample_data', package = 'startR') +data_path <- system.file('extdata', package = 'startR') path_obs <- file.path(data_path, 'obs/monthly_mean/tos/tos_200011.nc') connection <- NcOpener(path_obs) NcCloser(connection) diff --git a/man/NcVarReader.Rd b/man/NcVarReader.Rd index 9ed22a4..0e24f2c 100644 --- a/man/NcVarReader.Rd +++ b/man/NcVarReader.Rd @@ -46,7 +46,7 @@ which in turn uses NcToArray() in the package 'easyNCDF', which in turn uses nc_var_get() in the package 'ncdf4'. } \examples{ - data_path <- system.file('sample_data', package = 'startR') + data_path <- system.file('extdata', package = 'startR') file_to_open <- file.path(data_path, 'obs/monthly_mean/tos/tos_200011.nc') file_selectors <- c(dat = 'dat1', var = 'tos', sdate = '200011') synonims <- list(dat = 'dat', var = 'var', sdate = 'sdate', time = 'time', diff --git a/man/Sort.Rd b/man/Sort.Rd index 3411f86..aa878bf 100644 --- a/man/Sort.Rd +++ b/man/Sort.Rd @@ -40,7 +40,7 @@ range. This is useful for circular coordinates such as the Earth longitudes. } \examples{ # Used in Start(): - data_path <- system.file('sample_data', package = 'startR') + data_path <- system.file('extdata', package = 'startR') path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') sdates <- c('200011', '200012') data <- Start(dat = path_obs, diff --git a/man/Start.Rd b/man/Start.Rd index 121e2c5..86362c9 100644 --- a/man/Start.Rd +++ b/man/Start.Rd @@ -787,7 +787,7 @@ in the measure that it is retrieved by the interface functions for a specific file format. } \examples{ - data_path <- system.file('sample_data', package = 'startR') + data_path <- system.file('extdata', package = 'startR') path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') sdates <- c('200011', '200012') data <- Start(dat = path_obs, diff --git a/man/Step.Rd b/man/Step.Rd index 1d9d039..66c7870 100644 --- a/man/Step.Rd +++ b/man/Step.Rd @@ -43,7 +43,7 @@ If a different order is specified, startR will reorder the subset dimension to the expected order for this function./cr } \examples{ - data_path <- system.file('sample_data', package = 'startR') + data_path <- system.file('extdata', package = 'startR') path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') sdates <- c('200011', '200012') data <- Start(dat = path_obs, diff --git a/man/Subset.Rd b/man/Subset.Rd index f6caca4..8d7120b 100644 --- a/man/Subset.Rd +++ b/man/Subset.Rd @@ -40,7 +40,7 @@ If an array is provided without dimension names, dimension names taken from the parameter \code{dim_names} will be added to the array. } \examples{ - data_path <- system.file('sample_data', package = 'startR') + data_path <- system.file('extdata', package = 'startR') path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') sdates <- c('200011', '200012') data <- Start(dat = path_obs, -- GitLab From f6c0752aef45693f74edde28d7868ea97bd28c09 Mon Sep 17 00:00:00 2001 From: aho Date: Thu, 30 Jul 2020 12:12:14 +0200 Subject: [PATCH 31/60] Try fixing .Rbuildignore --- .Rbuildignore | 17 +++++++++++------ 1 file changed, 11 insertions(+), 6 deletions(-) diff --git a/.Rbuildignore b/.Rbuildignore index 0b4e057..8bf8735 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -3,16 +3,21 @@ .*\.tar.gz$ .*\.pdf$ .*^(?!inst)\.nc$ -README\.Rmd$ README\.md$ \..*\.RData$ -vignettes -.gitlab-ci.yml -^inst/chunking/$ +^vignettes$ +#^inst/chunking/$ ^inst/doc/$ ^inst/doc/*$ -^tests/$ +# ^tests/$ ^inst/doc/figures/$ ^inst/doc/usecase/$ ^tests/testthat/*$ -^inst/PlotProfiling\.R$ +#^inst/PlotProfiling\.R$ + +# Suggested by http://r-pkgs.had.co.nz/package.html +^.*\.Rproj$ # Automatically added by RStudio, +^\.Rproj\.user$ # used for temporary files. +^README\.Rmd$ # An Rmarkdown file used to generate README.md +^cran-comments\.md$ # Comments for CRAN submission +^NEWS\.md$ # A news file written in Markdown -- GitLab From 0266284f01e0542e97f541e7099ba8dee472ab10 Mon Sep 17 00:00:00 2001 From: aho Date: Thu, 30 Jul 2020 12:35:45 +0200 Subject: [PATCH 32/60] Try fixing .Rbuildignore for CRAN --- .Rbuildignore | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/.Rbuildignore b/.Rbuildignore index 8bf8735..cc9648a 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -3,16 +3,16 @@ .*\.tar.gz$ .*\.pdf$ .*^(?!inst)\.nc$ -README\.md$ +^README\.md$ \..*\.RData$ ^vignettes$ #^inst/chunking/$ ^inst/doc/$ ^inst/doc/*$ -# ^tests/$ +^tests/$ ^inst/doc/figures/$ ^inst/doc/usecase/$ -^tests/testthat/*$ +#^tests/testthat/*$ #^inst/PlotProfiling\.R$ # Suggested by http://r-pkgs.had.co.nz/package.html -- GitLab From 61cac5b24f1c470562347e3238e589de04c4371c Mon Sep 17 00:00:00 2001 From: aho Date: Thu, 30 Jul 2020 12:43:11 +0200 Subject: [PATCH 33/60] Correct example in NcVarReader() --- R/NcVarReader.R | 2 +- man/NcVarReader.Rd | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/R/NcVarReader.R b/R/NcVarReader.R index ead15a1..b140d80 100644 --- a/R/NcVarReader.R +++ b/R/NcVarReader.R @@ -36,7 +36,7 @@ #' file_selectors <- c(dat = 'dat1', var = 'tos', sdate = '200011') #' synonims <- list(dat = 'dat', var = 'var', sdate = 'sdate', time = 'time', #' latitude = 'latitude', longitude = 'longitude') -#' var <- NcDataReader(file_to_open, NULL, file_selectors, +#' var <- NcVarReader(file_to_open, NULL, file_selectors, #' 'tos', synonims) #'@export NcVarReader <- function(file_path = NULL, file_object = NULL, diff --git a/man/NcVarReader.Rd b/man/NcVarReader.Rd index 0e24f2c..71bc78a 100644 --- a/man/NcVarReader.Rd +++ b/man/NcVarReader.Rd @@ -51,7 +51,7 @@ nc_var_get() in the package 'ncdf4'. file_selectors <- c(dat = 'dat1', var = 'tos', sdate = '200011') synonims <- list(dat = 'dat', var = 'var', sdate = 'sdate', time = 'time', latitude = 'latitude', longitude = 'longitude') - var <- NcDataReader(file_to_open, NULL, file_selectors, + var <- NcVarReader(file_to_open, NULL, file_selectors, 'tos', synonims) } -- GitLab From 7cab8fe79705f32bf63127896f873ec25b686a21 Mon Sep 17 00:00:00 2001 From: aho Date: Thu, 30 Jul 2020 13:05:01 +0200 Subject: [PATCH 34/60] Change threads_compute to 2 for CRAN testing --- tests/testthat/test-Compute-NumChunks.R | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/tests/testthat/test-Compute-NumChunks.R b/tests/testthat/test-Compute-NumChunks.R index dbfcbd9..41d91b7 100644 --- a/tests/testthat/test-Compute-NumChunks.R +++ b/tests/testthat/test-Compute-NumChunks.R @@ -27,13 +27,13 @@ wf = AddStep(inputs = data, expect_equal(Compute(workflow = wf, chunks = list(lat = 2, lon = 2), - threads_load = 2, - threads_compute = 4), + threads_load = 1, + threads_compute = 2), Compute(workflow = wf, chunks = list(lat = 3, lon = 3), - threads_load = 2, - threads_compute = 4), + threads_load = 1, + threads_compute = 2), check.attributes = FALSE) }) -- GitLab From 0474c574d26ae13105204f3aa696a96a230ceb86 Mon Sep 17 00:00:00 2001 From: aho Date: Thu, 30 Jul 2020 13:33:42 +0200 Subject: [PATCH 35/60] Add skip_on_cran() to all unit tests --- tests/testthat/test-AddStep-DimNames.R | 2 +- .../test-Start-global-lon-across_meridian.R | 2 +- .../test-Start-line_order-consistency.R | 4 ++-- tests/testthat/test-Start-multiple-sdates.R | 2 ++ tests/testthat/test-Start-reorder-lat.R | 18 +++++++++++++++ tests/testthat/test-Start-reorder-latCoarse.R | 18 +++++++++++++++ ...st-Start-reorder-lon-transform_-180to180.R | 21 +++++++++++++++++ .../test-Start-reorder-lon-transform_0to360.R | 22 ++++++++++++++++++ ...Start-reorder-lon-transform_0to360Coarse.R | 22 ++++++++++++++++++ .../test-Start-reorder-lon0to360Coarse.R | 18 +++++++++++++++ .../test-Start-reorder-lon_-180to180.R | 23 +++++++++++++++++++ .../testthat/test-Start-reorder-lon_0to360.R | 18 +++++++++++++++ tests/testthat/test-Start-reorder-retrieve.R | 4 ++-- tests/testthat/test-Start-split-merge.R | 6 ++--- ...test-Start-transform-lon-across_meridian.R | 2 +- 15 files changed, 172 insertions(+), 10 deletions(-) diff --git a/tests/testthat/test-AddStep-DimNames.R b/tests/testthat/test-AddStep-DimNames.R index 03e1d01..8b90ece 100644 --- a/tests/testthat/test-AddStep-DimNames.R +++ b/tests/testthat/test-AddStep-DimNames.R @@ -1,6 +1,6 @@ context("Error with bad dimensions tests.") test_that("Single File - Local execution", { - +skip_on_cran("Skip test on CRAN") data <- Start(dataset = '/esarchive/recon/jma/jra55/monthly_mean/$var$_f6h/$var$_$sdate$$month$.nc', var = 'tas', sdate = '2000', diff --git a/tests/testthat/test-Start-global-lon-across_meridian.R b/tests/testthat/test-Start-global-lon-across_meridian.R index aa1dc18..d2662a3 100644 --- a/tests/testthat/test-Start-global-lon-across_meridian.R +++ b/tests/testthat/test-Start-global-lon-across_meridian.R @@ -1,7 +1,7 @@ context("Start() across_meridia global lon length check") test_that("first test", { - +skip_on_cran("Skip test on CRAN") repos <- "/esarchive/exp/ecmwf/system5_m1/monthly_mean/tas_f6h/$var$_$sdate$.nc" var <- 'tas' diff --git a/tests/testthat/test-Start-line_order-consistency.R b/tests/testthat/test-Start-line_order-consistency.R index 1fe98ea..7bb5f67 100644 --- a/tests/testthat/test-Start-line_order-consistency.R +++ b/tests/testthat/test-Start-line_order-consistency.R @@ -10,7 +10,7 @@ context("Start() line order consistency check") lons.max <- 360 test_that("1. lon and lat order", { - +skip_on_cran("Skip test on CRAN") dat1 <- Start(dat = obs.path, var = variable, file_date = dates_file, @@ -61,7 +61,7 @@ test_that("1. lon and lat order", { test_that("2. dim length check: with/out reorder", { - +skip_on_cran("Skip test on CRAN") dat1 <- Start(dat = obs.path, var = variable, diff --git a/tests/testthat/test-Start-multiple-sdates.R b/tests/testthat/test-Start-multiple-sdates.R index cd5bac8..acc94e5 100644 --- a/tests/testthat/test-Start-multiple-sdates.R +++ b/tests/testthat/test-Start-multiple-sdates.R @@ -14,6 +14,7 @@ var100_name <- 'windagl100' sdates.seq <- c("20161222","20161229","20170105","20170112") test_that("1. ", { +skip_on_cran("Skip test on CRAN") hcst<-Start(dat = ecmwf_path_hc, var = var_name, sdate = sdates.seq, @@ -85,6 +86,7 @@ obs <- Start(dat = obs_path, }) test_that("2. change the file_date order", { +skip_on_cran("Skip test on CRAN") hcst<-Start(dat = ecmwf_path_hc, var = var_name, sdate = sdates.seq, diff --git a/tests/testthat/test-Start-reorder-lat.R b/tests/testthat/test-Start-reorder-lat.R index f53a9ec..71b9517 100644 --- a/tests/testthat/test-Start-reorder-lat.R +++ b/tests/testthat/test-Start-reorder-lat.R @@ -16,6 +16,7 @@ path_exp <- '/esarchive/exp/ecmwf/system5_m1/daily_mean/$var$_f6h/$var$_$sdate$. ############################################## test_that("1-1-2-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -78,6 +79,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-2-2-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- 20 @@ -121,6 +123,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-3-2-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- -10 @@ -162,6 +165,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-4-2-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- -20 @@ -204,6 +208,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("2-1-2-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -266,6 +271,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("2-2-2-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- 20 @@ -307,6 +313,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("2-3-2-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- -10 @@ -347,6 +354,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("2-4-2-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- -20 @@ -387,6 +395,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-1-2-3-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -428,6 +437,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("2-1-2-3-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -469,6 +479,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## ############################################## test_that("1-1-2-2-2-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -530,6 +541,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-2-2-2-2-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- 20 @@ -571,6 +583,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-1-2-2-2-3-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -612,6 +625,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("2-1-2-2-2-3-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -666,6 +680,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-1-2-2-1-1-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -714,6 +729,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-1-2-2-3-1-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -762,6 +778,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-1-2-2-3-2-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -811,6 +828,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-1-2-2-3-1-2-1", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- 10 diff --git a/tests/testthat/test-Start-reorder-latCoarse.R b/tests/testthat/test-Start-reorder-latCoarse.R index bc6f480..96c60e6 100644 --- a/tests/testthat/test-Start-reorder-latCoarse.R +++ b/tests/testthat/test-Start-reorder-latCoarse.R @@ -18,6 +18,7 @@ path_exp <- '/esarchive/exp/ncar/cesm-dple/monthly_mean/$var$/$var$_$sdate$.nc' ## latitude: -90 o 90 {-90, -89.05759 ...} #192 values ############################################## test_that("1-1-4-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -80,6 +81,7 @@ res <- Start(dat = list(list(path = path_exp)), ############################################## test_that("1-2-4-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- 20 @@ -123,6 +125,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-3-4-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- -10 @@ -164,6 +167,7 @@ res <- Start(dat = list(list(path = path_exp)), }) ############################################## test_that("1-4-4-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- -20 @@ -206,6 +210,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("2-1-4-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -268,6 +273,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("2-2-4-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- 20 @@ -309,6 +315,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("2-3-4-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- -10 @@ -349,6 +356,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("2-4-4-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- -20 @@ -389,6 +397,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-1-4-3-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -430,6 +439,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("2-1-4-3-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -471,6 +481,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## ############################################## test_that("1-1-4-2-2-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -532,6 +543,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-2-4-2-2-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- 20 @@ -573,6 +585,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-1-4-2-2-3-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -614,6 +627,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("2-1-4-2-2-3-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -668,6 +682,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-1-4-2-1-1-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -716,6 +731,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-1-4-2-3-1-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -764,6 +780,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-1-4-2-3-2-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -813,6 +830,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-1-4-2-3-1-2-1", { +skip_on_cran("Skip test on CRAN") lons.min <- 40 lons.max <- 45 lats.min <- 10 diff --git a/tests/testthat/test-Start-reorder-lon-transform_-180to180.R b/tests/testthat/test-Start-reorder-lon-transform_-180to180.R index 1b8a96b..12af7e3 100644 --- a/tests/testthat/test-Start-reorder-lon-transform_-180to180.R +++ b/tests/testthat/test-Start-reorder-lon-transform_-180to180.R @@ -17,6 +17,7 @@ sdate <- '199212' ############################################## test_that("1-1-2-2-1-1-2-4", { +skip_on_cran("Skip test on CRAN") lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -59,6 +60,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-2-2-2-1-1-2-4", { +skip_on_cran("Skip test on CRAN") lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -97,6 +99,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-5-2-2-1-1-2-4", { +skip_on_cran("Skip test on CRAN") lons.min <- -10 lons.max <- 10 lats.min <- 10 @@ -135,6 +138,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-6-2-2-1-1-2-4", { +skip_on_cran("Skip test on CRAN") lons.min <- 10 lons.max <- -10 lats.min <- 10 @@ -172,6 +176,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-8-2-2-1-1-2-4", { +skip_on_cran("Skip test on CRAN") lons.min <- 170 lons.max <- 190 lats.min <- 10 @@ -211,6 +216,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## ############################################## test_that("1-1-2-2-2-2-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -257,6 +263,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-2-2-2-2-2-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -304,6 +311,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-3-2-2-2-2-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- -10 lons.max <- -20 lats.min <- 10 @@ -351,6 +359,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-4-2-2-2-2-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- -20 lons.max <- -10 lats.min <- 10 @@ -392,6 +401,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-5-2-2-2-2-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- -10 lons.max <- 10 lats.min <- 10 @@ -439,6 +449,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-6-2-2-2-2-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 20 lons.max <- -10 lats.min <- 10 @@ -481,6 +492,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-7-2-2-2-2-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -522,6 +534,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-8-2-2-2-2-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 350 lons.max <- 370 lats.min <- 10 @@ -571,6 +584,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## ############################################## test_that("1-1-2-2-2-3-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -616,6 +630,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-2-2-2-2-3-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -662,6 +677,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-3-2-2-2-3-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- -10 lons.max <- -20 lats.min <- 10 @@ -708,6 +724,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-4-2-2-2-3-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- -20 lons.max <- -10 lats.min <- 10 @@ -750,6 +767,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-5-2-2-2-3-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- -10 lons.max <- 10 lats.min <- 10 @@ -791,6 +809,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-6-2-2-2-3-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 20 lons.max <- -10 lats.min <- 10 @@ -837,6 +856,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-7-2-2-2-3-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -878,6 +898,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-8-2-2-2-3-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 350 lons.max <- 370 lats.min <- 10 diff --git a/tests/testthat/test-Start-reorder-lon-transform_0to360.R b/tests/testthat/test-Start-reorder-lon-transform_0to360.R index 5ef5576..e0b09b1 100644 --- a/tests/testthat/test-Start-reorder-lon-transform_0to360.R +++ b/tests/testthat/test-Start-reorder-lon-transform_0to360.R @@ -17,6 +17,7 @@ sdate <- '19821201' ############################################## test_that("1-1-2-2-1-1-2-4", { +skip_on_cran("Skip test on CRAN") lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -61,6 +62,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-2-2-2-1-1-2-4", { +skip_on_cran("Skip test on CRAN") lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -100,6 +102,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-5-2-2-1-1-2-4", { +skip_on_cran("Skip test on CRAN") lons.min <- -10 lons.max <- 10 lats.min <- 10 @@ -140,6 +143,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-6-2-2-1-1-2-4", { +skip_on_cran("Skip test on CRAN") lons.min <- 10 lons.max <- -10 lats.min <- 10 @@ -179,6 +183,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-7-2-2-1-1-2-4", { +skip_on_cran("Skip test on CRAN") lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -218,6 +223,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-8-2-2-1-1-2-4", { +skip_on_cran("Skip test on CRAN") lons.min <- 350 lons.max <- 370 lats.min <- 10 @@ -259,6 +265,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## ############################################## test_that("1-1-2-2-2-2-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -307,6 +314,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-2-2-2-2-2-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -356,6 +364,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-3-2-2-2-2-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- -10 lons.max <- -20 lats.min <- 10 @@ -405,6 +414,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-4-2-2-2-2-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- -20 lons.max <- -10 lats.min <- 10 @@ -448,6 +458,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-5-2-2-2-2-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- -10 lons.max <- 10 lats.min <- 10 @@ -497,6 +508,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-6-2-2-2-2-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 20 lons.max <- -10 lats.min <- 10 @@ -541,6 +553,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-7-2-2-2-2-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -584,6 +597,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-8-2-2-2-2-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 350 lons.max <- 370 lats.min <- 10 @@ -635,6 +649,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## ############################################## test_that("1-1-2-2-2-3-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -682,6 +697,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-2-2-2-2-3-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -730,6 +746,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-3-2-2-2-3-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- -10 lons.max <- -20 lats.min <- 10 @@ -778,6 +795,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-4-2-2-2-3-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- -20 lons.max <- -10 lats.min <- 10 @@ -822,6 +840,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-5-2-2-2-3-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- -10 lons.max <- 10 lats.min <- 10 @@ -865,6 +884,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-6-2-2-2-3-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 20 lons.max <- -10 lats.min <- 10 @@ -913,6 +933,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-7-2-2-2-3-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -956,6 +977,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-8-2-2-2-3-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 350 lons.max <- 370 lats.min <- 10 diff --git a/tests/testthat/test-Start-reorder-lon-transform_0to360Coarse.R b/tests/testthat/test-Start-reorder-lon-transform_0to360Coarse.R index 262673b..aa89254 100644 --- a/tests/testthat/test-Start-reorder-lon-transform_0to360Coarse.R +++ b/tests/testthat/test-Start-reorder-lon-transform_0to360Coarse.R @@ -21,6 +21,7 @@ sdate <- '20001101' ############################################## test_that("1-1-2-2-1-1-2-4", { +skip_on_cran("Skip test on CRAN") lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -65,6 +66,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-2-2-2-1-1-2-4", { +skip_on_cran("Skip test on CRAN") lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -104,6 +106,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-5-2-2-1-1-2-4", { +skip_on_cran("Skip test on CRAN") lons.min <- -10 lons.max <- 10 lats.min <- 10 @@ -144,6 +147,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-6-2-2-1-1-2-4", { +skip_on_cran("Skip test on CRAN") lons.min <- 10 lons.max <- -10 lats.min <- 10 @@ -183,6 +187,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-7-2-2-1-1-2-4", { +skip_on_cran("Skip test on CRAN") lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -222,6 +227,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-8-2-2-1-1-2-4", { +skip_on_cran("Skip test on CRAN") lons.min <- 350 lons.max <- 370 lats.min <- 10 @@ -263,6 +269,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## ############################################## test_that("1-1-2-2-2-2-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -311,6 +318,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-2-2-2-2-2-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -360,6 +368,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-3-2-2-2-2-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- -10 lons.max <- -20 lats.min <- 10 @@ -409,6 +418,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-4-2-2-2-2-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- -20 lons.max <- -10 lats.min <- 10 @@ -452,6 +462,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-5-2-2-2-2-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- -10 lons.max <- 10 lats.min <- 10 @@ -501,6 +512,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-6-2-2-2-2-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 20 lons.max <- -10 lats.min <- 10 @@ -545,6 +557,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-7-2-2-2-2-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -588,6 +601,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-8-2-2-2-2-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 350 lons.max <- 370 lats.min <- 10 @@ -639,6 +653,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## ############################################## test_that("1-1-2-2-2-3-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -686,6 +701,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-2-2-2-2-3-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -734,6 +750,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-3-2-2-2-3-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- -10 lons.max <- -20 lats.min <- 10 @@ -782,6 +799,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-4-2-2-2-3-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- -20 lons.max <- -10 lats.min <- 10 @@ -826,6 +844,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-5-2-2-2-3-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- -10 lons.max <- 10 lats.min <- 10 @@ -869,6 +888,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-6-2-2-2-3-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 20 lons.max <- -10 lats.min <- 10 @@ -917,6 +937,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-7-2-2-2-3-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -960,6 +981,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-8-2-2-2-3-2-3", { +skip_on_cran("Skip test on CRAN") lons.min <- 350 lons.max <- 370 lats.min <- 10 diff --git a/tests/testthat/test-Start-reorder-lon0to360Coarse.R b/tests/testthat/test-Start-reorder-lon0to360Coarse.R index 461042a..567ad94 100644 --- a/tests/testthat/test-Start-reorder-lon0to360Coarse.R +++ b/tests/testthat/test-Start-reorder-lon0to360Coarse.R @@ -16,6 +16,7 @@ path_exp <- '/esarchive/exp/ncar/cesm-dple/monthly_mean/$var$/$var$_$sdate$.nc' ## latitude: -90 o 90 {-90, -89.05759 ...} #192 values ############################################## test_that("1-1-4-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -57,6 +58,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-2-4-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -87,6 +89,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-5-4-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- -10 lons.max <- 10 lats.min <- 10 @@ -119,6 +122,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-6-4-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 10 lons.max <- -10 lats.min <- 10 @@ -150,6 +154,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-7-4-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -180,6 +185,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-8-4-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 350 lons.max <- 370 lats.min <- 10 @@ -212,6 +218,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## ############################################## test_that("1-1-4-2-2-2-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -252,6 +259,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-1-4-2-2-3-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -288,6 +296,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-2-4-2-2-2-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -324,6 +333,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-2-4-2-2-3-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -361,6 +371,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-3-4-2-2-2-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- -10 lons.max <- -20 lats.min <- 10 @@ -398,6 +409,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-3-4-2-2-3-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- -10 lons.max <- -20 lats.min <- 10 @@ -430,6 +442,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-4-4-2-2-2-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- -20 lons.max <- -10 lats.min <- 10 @@ -462,6 +475,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-4-4-2-2-3-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- -20 lons.max <- -10 lats.min <- 10 @@ -495,6 +509,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-5-4-2-2-2-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -523,6 +538,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-5-4-2-2-3-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -556,6 +572,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-6-4-2-2-2-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 350 lons.max <- 370 lats.min <- 10 @@ -589,6 +606,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-6-4-2-2-3-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 350 lons.max <- 370 lats.min <- 10 diff --git a/tests/testthat/test-Start-reorder-lon_-180to180.R b/tests/testthat/test-Start-reorder-lon_-180to180.R index 38cd6b8..b4de39f 100644 --- a/tests/testthat/test-Start-reorder-lon_-180to180.R +++ b/tests/testthat/test-Start-reorder-lon_-180to180.R @@ -18,6 +18,7 @@ sdate <- '199212' ############################################## test_that("1-1-2-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -57,6 +58,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-2-2-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -86,6 +88,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-3-2-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- -10 lons.max <- -20 lats.min <- 10 @@ -116,6 +119,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-4-2-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- -20 lons.max <- -10 lats.min <- 10 @@ -146,6 +150,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-5-2-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- -10 lons.max <- 10 lats.min <- 10 @@ -176,6 +181,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-6-2-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 10 lons.max <- -10 lats.min <- 10 @@ -205,6 +211,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-8-2-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 170 lons.max <- 190 lats.min <- 10 @@ -235,6 +242,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## ############################################## test_that("1-1-2-2-2-2-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -273,6 +281,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-1-2-2-2-3-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -307,6 +316,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-2-2-2-2-2-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -341,6 +351,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-2-2-2-2-3-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -376,6 +387,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-3-2-2-2-2-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- -10 lons.max <- -20 lats.min <- 10 @@ -411,6 +423,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-3-2-2-2-3-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- -10 lons.max <- -20 lats.min <- 10 @@ -441,6 +454,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-4-2-2-2-2-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- -20 lons.max <- -10 lats.min <- 10 @@ -471,6 +485,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-4-2-2-2-3-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- -20 lons.max <- -10 lats.min <- 10 @@ -501,6 +516,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-5-2-2-2-2-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- -10 lons.max <- 10 lats.min <- 10 @@ -541,6 +557,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-5-2-2-2-3-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- -10 lons.max <- 10 lats.min <- 10 @@ -571,6 +588,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-6-2-2-2-2-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 20 lons.max <- -10 lats.min <- 10 @@ -606,6 +624,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-6-2-2-2-3-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 20 lons.max <- -10 lats.min <- 10 @@ -645,6 +664,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-7-2-2-2-2-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -676,6 +696,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-7-2-2-2-3-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -712,6 +733,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-8-2-2-2-2-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 350 lons.max <- 370 lats.min <- 10 @@ -743,6 +765,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-8-2-2-2-3-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 350 lons.max <- 370 lats.min <- 10 diff --git a/tests/testthat/test-Start-reorder-lon_0to360.R b/tests/testthat/test-Start-reorder-lon_0to360.R index 67d0e90..0b5ab1f 100644 --- a/tests/testthat/test-Start-reorder-lon_0to360.R +++ b/tests/testthat/test-Start-reorder-lon_0to360.R @@ -16,6 +16,7 @@ path_exp <- '/esarchive/exp/ecmwf/system5_m1/daily_mean/$var$_f6h/$var$_$sdate$. ############################################## test_that("1-1-2-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -57,6 +58,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-2-2-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -87,6 +89,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-5-2-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- -10 lons.max <- 10 lats.min <- 10 @@ -119,6 +122,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-6-2-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 10 lons.max <- -10 lats.min <- 10 @@ -150,6 +154,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-7-2-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -180,6 +185,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-8-2-2-1-1-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 350 lons.max <- 370 lats.min <- 10 @@ -212,6 +218,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## ############################################## test_that("1-1-2-2-2-2-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -252,6 +259,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-1-2-2-2-3-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -288,6 +296,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-2-2-2-2-2-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -324,6 +333,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-2-2-2-2-3-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -361,6 +371,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-3-2-2-2-2-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- -10 lons.max <- -20 lats.min <- 10 @@ -398,6 +409,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-3-2-2-2-3-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- -10 lons.max <- -20 lats.min <- 10 @@ -430,6 +442,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-4-2-2-2-2-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- -20 lons.max <- -10 lats.min <- 10 @@ -462,6 +475,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-4-2-2-2-3-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- -20 lons.max <- -10 lats.min <- 10 @@ -495,6 +509,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-5-2-2-2-2-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -523,6 +538,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-5-2-2-2-3-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -556,6 +572,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-6-2-2-2-2-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 350 lons.max <- 370 lats.min <- 10 @@ -589,6 +606,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-6-2-2-2-3-1-x", { +skip_on_cran("Skip test on CRAN") lons.min <- 350 lons.max <- 370 lats.min <- 10 diff --git a/tests/testthat/test-Start-reorder-retrieve.R b/tests/testthat/test-Start-reorder-retrieve.R index 47412f5..cb21923 100644 --- a/tests/testthat/test-Start-reorder-retrieve.R +++ b/tests/testthat/test-Start-reorder-retrieve.R @@ -3,7 +3,7 @@ context("Start() lon Reorder non-transform retrieve test") ############################################## test_that("original range 0to360", { - +skip_on_cran("Skip test on CRAN") ## Origin longitude in file: [0:359.722222222222] path_exp <- '/esarchive/exp/ecmwf/system5_m1/daily_mean/$var$_f6h/$var$_$sdate$.nc' @@ -83,7 +83,7 @@ res2 <- Start(dat = path_exp, ############################################## test_that("original range -180to180", { - +skip_on_cran("Skip test on CRAN") ## Origin longitude in file: [0:359.722222222222] path_exp <- '/esarchive/recon/ecmwf/era5/original_files/reorder/daily_mean/$var$/$var$_$sdate$.nc' variable <- 'tas' diff --git a/tests/testthat/test-Start-split-merge.R b/tests/testthat/test-Start-split-merge.R index 7a938a5..ce8b1dc 100644 --- a/tests/testthat/test-Start-split-merge.R +++ b/tests/testthat/test-Start-split-merge.R @@ -25,7 +25,7 @@ path.obs <- '/esarchive/recon/ecmwf/era5/1hourly/$var$/$var$_$file_date$.nc' test_that("1. split + merge + narm", { - +skip_on_cran("Skip test on CRAN") obs <- Start(dat = path.obs, var = var_name, file_date = file_date, # a vector @@ -65,7 +65,7 @@ obs <- Start(dat = path.obs, test_that("2. no split + merge + narm", { - +skip_on_cran("Skip test on CRAN") obs <- Start(dat = path.obs, var = var_name, file_date = file_date, # a vector @@ -105,7 +105,7 @@ obs <- Start(dat = path.obs, test_that("3. no split + merge + no narm", { - +skip_on_cran("Skip test on CRAN") obs <- Start(dat = path.obs, var = var_name, file_date = file_date, # a vector diff --git a/tests/testthat/test-Start-transform-lon-across_meridian.R b/tests/testthat/test-Start-transform-lon-across_meridian.R index 96fc550..3b433a3 100644 --- a/tests/testthat/test-Start-transform-lon-across_meridian.R +++ b/tests/testthat/test-Start-transform-lon-across_meridian.R @@ -1,7 +1,7 @@ context("Start() transform across_meridian lon order check") test_that("first test", { - +skip_on_cran("Skip test on CRAN") repos <- "/esarchive/exp/ecmwf/system5_m1/monthly_mean/tas_f6h/$var$_$sdate$.nc" var <- 'tas' -- GitLab From 573bb7715d6715be5aad5d91c970cb21a425f1f8 Mon Sep 17 00:00:00 2001 From: aho Date: Thu, 30 Jul 2020 13:43:15 +0200 Subject: [PATCH 36/60] Correct skip_on_cran() --- tests/testthat/test-AddStep-DimNames.R | 2 +- .../test-Start-global-lon-across_meridian.R | 2 +- .../test-Start-line_order-consistency.R | 4 +- tests/testthat/test-Start-multiple-sdates.R | 4 +- tests/testthat/test-Start-reorder-lat.R | 36 +++++++-------- tests/testthat/test-Start-reorder-latCoarse.R | 36 +++++++-------- ...st-Start-reorder-lon-transform_-180to180.R | 42 ++++++++--------- .../test-Start-reorder-lon-transform_0to360.R | 44 +++++++++--------- ...Start-reorder-lon-transform_0to360Coarse.R | 44 +++++++++--------- .../test-Start-reorder-lon0to360Coarse.R | 36 +++++++-------- .../test-Start-reorder-lon_-180to180.R | 46 +++++++++---------- .../testthat/test-Start-reorder-lon_0to360.R | 36 +++++++-------- tests/testthat/test-Start-reorder-retrieve.R | 4 +- tests/testthat/test-Start-split-merge.R | 6 +-- ...test-Start-transform-lon-across_meridian.R | 2 +- 15 files changed, 172 insertions(+), 172 deletions(-) diff --git a/tests/testthat/test-AddStep-DimNames.R b/tests/testthat/test-AddStep-DimNames.R index 8b90ece..a197e70 100644 --- a/tests/testthat/test-AddStep-DimNames.R +++ b/tests/testthat/test-AddStep-DimNames.R @@ -1,6 +1,6 @@ context("Error with bad dimensions tests.") test_that("Single File - Local execution", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() data <- Start(dataset = '/esarchive/recon/jma/jra55/monthly_mean/$var$_f6h/$var$_$sdate$$month$.nc', var = 'tas', sdate = '2000', diff --git a/tests/testthat/test-Start-global-lon-across_meridian.R b/tests/testthat/test-Start-global-lon-across_meridian.R index d2662a3..f233c4a 100644 --- a/tests/testthat/test-Start-global-lon-across_meridian.R +++ b/tests/testthat/test-Start-global-lon-across_meridian.R @@ -1,7 +1,7 @@ context("Start() across_meridia global lon length check") test_that("first test", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() repos <- "/esarchive/exp/ecmwf/system5_m1/monthly_mean/tas_f6h/$var$_$sdate$.nc" var <- 'tas' diff --git a/tests/testthat/test-Start-line_order-consistency.R b/tests/testthat/test-Start-line_order-consistency.R index 7bb5f67..f47f613 100644 --- a/tests/testthat/test-Start-line_order-consistency.R +++ b/tests/testthat/test-Start-line_order-consistency.R @@ -10,7 +10,7 @@ context("Start() line order consistency check") lons.max <- 360 test_that("1. lon and lat order", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() dat1 <- Start(dat = obs.path, var = variable, file_date = dates_file, @@ -61,7 +61,7 @@ skip_on_cran("Skip test on CRAN") test_that("2. dim length check: with/out reorder", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() dat1 <- Start(dat = obs.path, var = variable, diff --git a/tests/testthat/test-Start-multiple-sdates.R b/tests/testthat/test-Start-multiple-sdates.R index acc94e5..1a72667 100644 --- a/tests/testthat/test-Start-multiple-sdates.R +++ b/tests/testthat/test-Start-multiple-sdates.R @@ -14,7 +14,7 @@ var100_name <- 'windagl100' sdates.seq <- c("20161222","20161229","20170105","20170112") test_that("1. ", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() hcst<-Start(dat = ecmwf_path_hc, var = var_name, sdate = sdates.seq, @@ -86,7 +86,7 @@ obs <- Start(dat = obs_path, }) test_that("2. change the file_date order", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() hcst<-Start(dat = ecmwf_path_hc, var = var_name, sdate = sdates.seq, diff --git a/tests/testthat/test-Start-reorder-lat.R b/tests/testthat/test-Start-reorder-lat.R index 71b9517..375bd93 100644 --- a/tests/testthat/test-Start-reorder-lat.R +++ b/tests/testthat/test-Start-reorder-lat.R @@ -16,7 +16,7 @@ path_exp <- '/esarchive/exp/ecmwf/system5_m1/daily_mean/$var$_f6h/$var$_$sdate$. ############################################## test_that("1-1-2-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -79,7 +79,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-2-2-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- 20 @@ -123,7 +123,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-3-2-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- -10 @@ -165,7 +165,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-4-2-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- -20 @@ -208,7 +208,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("2-1-2-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -271,7 +271,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("2-2-2-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- 20 @@ -313,7 +313,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("2-3-2-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- -10 @@ -354,7 +354,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("2-4-2-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- -20 @@ -395,7 +395,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-1-2-3-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -437,7 +437,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("2-1-2-3-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -479,7 +479,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## ############################################## test_that("1-1-2-2-2-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -541,7 +541,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-2-2-2-2-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- 20 @@ -583,7 +583,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-1-2-2-2-3-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -625,7 +625,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("2-1-2-2-2-3-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -680,7 +680,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-1-2-2-1-1-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -729,7 +729,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-1-2-2-3-1-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -778,7 +778,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-1-2-2-3-2-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -828,7 +828,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-1-2-2-3-1-2-1", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- 10 diff --git a/tests/testthat/test-Start-reorder-latCoarse.R b/tests/testthat/test-Start-reorder-latCoarse.R index 96c60e6..fe9d3cd 100644 --- a/tests/testthat/test-Start-reorder-latCoarse.R +++ b/tests/testthat/test-Start-reorder-latCoarse.R @@ -18,7 +18,7 @@ path_exp <- '/esarchive/exp/ncar/cesm-dple/monthly_mean/$var$/$var$_$sdate$.nc' ## latitude: -90 o 90 {-90, -89.05759 ...} #192 values ############################################## test_that("1-1-4-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -81,7 +81,7 @@ res <- Start(dat = list(list(path = path_exp)), ############################################## test_that("1-2-4-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- 20 @@ -125,7 +125,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-3-4-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- -10 @@ -167,7 +167,7 @@ res <- Start(dat = list(list(path = path_exp)), }) ############################################## test_that("1-4-4-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- -20 @@ -210,7 +210,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("2-1-4-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -273,7 +273,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("2-2-4-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- 20 @@ -315,7 +315,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("2-3-4-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- -10 @@ -356,7 +356,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("2-4-4-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- -20 @@ -397,7 +397,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-1-4-3-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -439,7 +439,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("2-1-4-3-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -481,7 +481,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## ############################################## test_that("1-1-4-2-2-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -543,7 +543,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-2-4-2-2-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- 20 @@ -585,7 +585,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-1-4-2-2-3-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -627,7 +627,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("2-1-4-2-2-3-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -682,7 +682,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-1-4-2-1-1-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -731,7 +731,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-1-4-2-3-1-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -780,7 +780,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-1-4-2-3-2-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- 10 @@ -830,7 +830,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-1-4-2-3-1-2-1", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 40 lons.max <- 45 lats.min <- 10 diff --git a/tests/testthat/test-Start-reorder-lon-transform_-180to180.R b/tests/testthat/test-Start-reorder-lon-transform_-180to180.R index 12af7e3..e97a3f7 100644 --- a/tests/testthat/test-Start-reorder-lon-transform_-180to180.R +++ b/tests/testthat/test-Start-reorder-lon-transform_-180to180.R @@ -17,7 +17,7 @@ sdate <- '199212' ############################################## test_that("1-1-2-2-1-1-2-4", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -60,7 +60,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-2-2-2-1-1-2-4", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -99,7 +99,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-5-2-2-1-1-2-4", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -10 lons.max <- 10 lats.min <- 10 @@ -138,7 +138,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-6-2-2-1-1-2-4", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 10 lons.max <- -10 lats.min <- 10 @@ -176,7 +176,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-8-2-2-1-1-2-4", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 170 lons.max <- 190 lats.min <- 10 @@ -216,7 +216,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## ############################################## test_that("1-1-2-2-2-2-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -263,7 +263,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-2-2-2-2-2-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -311,7 +311,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-3-2-2-2-2-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -10 lons.max <- -20 lats.min <- 10 @@ -359,7 +359,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-4-2-2-2-2-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -20 lons.max <- -10 lats.min <- 10 @@ -401,7 +401,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-5-2-2-2-2-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -10 lons.max <- 10 lats.min <- 10 @@ -449,7 +449,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-6-2-2-2-2-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 20 lons.max <- -10 lats.min <- 10 @@ -492,7 +492,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-7-2-2-2-2-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -534,7 +534,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-8-2-2-2-2-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 350 lons.max <- 370 lats.min <- 10 @@ -584,7 +584,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## ############################################## test_that("1-1-2-2-2-3-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -630,7 +630,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-2-2-2-2-3-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -677,7 +677,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-3-2-2-2-3-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -10 lons.max <- -20 lats.min <- 10 @@ -724,7 +724,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-4-2-2-2-3-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -20 lons.max <- -10 lats.min <- 10 @@ -767,7 +767,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-5-2-2-2-3-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -10 lons.max <- 10 lats.min <- 10 @@ -809,7 +809,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-6-2-2-2-3-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 20 lons.max <- -10 lats.min <- 10 @@ -856,7 +856,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-7-2-2-2-3-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -898,7 +898,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-8-2-2-2-3-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 350 lons.max <- 370 lats.min <- 10 diff --git a/tests/testthat/test-Start-reorder-lon-transform_0to360.R b/tests/testthat/test-Start-reorder-lon-transform_0to360.R index e0b09b1..d2e7cbf 100644 --- a/tests/testthat/test-Start-reorder-lon-transform_0to360.R +++ b/tests/testthat/test-Start-reorder-lon-transform_0to360.R @@ -17,7 +17,7 @@ sdate <- '19821201' ############################################## test_that("1-1-2-2-1-1-2-4", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -62,7 +62,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-2-2-2-1-1-2-4", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -102,7 +102,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-5-2-2-1-1-2-4", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -10 lons.max <- 10 lats.min <- 10 @@ -143,7 +143,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-6-2-2-1-1-2-4", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 10 lons.max <- -10 lats.min <- 10 @@ -183,7 +183,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-7-2-2-1-1-2-4", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -223,7 +223,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-8-2-2-1-1-2-4", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 350 lons.max <- 370 lats.min <- 10 @@ -265,7 +265,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## ############################################## test_that("1-1-2-2-2-2-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -314,7 +314,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-2-2-2-2-2-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -364,7 +364,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-3-2-2-2-2-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -10 lons.max <- -20 lats.min <- 10 @@ -414,7 +414,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-4-2-2-2-2-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -20 lons.max <- -10 lats.min <- 10 @@ -458,7 +458,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-5-2-2-2-2-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -10 lons.max <- 10 lats.min <- 10 @@ -508,7 +508,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-6-2-2-2-2-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 20 lons.max <- -10 lats.min <- 10 @@ -553,7 +553,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-7-2-2-2-2-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -597,7 +597,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-8-2-2-2-2-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 350 lons.max <- 370 lats.min <- 10 @@ -649,7 +649,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## ############################################## test_that("1-1-2-2-2-3-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -697,7 +697,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-2-2-2-2-3-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -746,7 +746,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-3-2-2-2-3-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -10 lons.max <- -20 lats.min <- 10 @@ -795,7 +795,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-4-2-2-2-3-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -20 lons.max <- -10 lats.min <- 10 @@ -840,7 +840,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-5-2-2-2-3-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -10 lons.max <- 10 lats.min <- 10 @@ -884,7 +884,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-6-2-2-2-3-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 20 lons.max <- -10 lats.min <- 10 @@ -933,7 +933,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-7-2-2-2-3-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -977,7 +977,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-8-2-2-2-3-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 350 lons.max <- 370 lats.min <- 10 diff --git a/tests/testthat/test-Start-reorder-lon-transform_0to360Coarse.R b/tests/testthat/test-Start-reorder-lon-transform_0to360Coarse.R index aa89254..008cd3a 100644 --- a/tests/testthat/test-Start-reorder-lon-transform_0to360Coarse.R +++ b/tests/testthat/test-Start-reorder-lon-transform_0to360Coarse.R @@ -21,7 +21,7 @@ sdate <- '20001101' ############################################## test_that("1-1-2-2-1-1-2-4", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -66,7 +66,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-2-2-2-1-1-2-4", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -106,7 +106,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-5-2-2-1-1-2-4", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -10 lons.max <- 10 lats.min <- 10 @@ -147,7 +147,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-6-2-2-1-1-2-4", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 10 lons.max <- -10 lats.min <- 10 @@ -187,7 +187,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-7-2-2-1-1-2-4", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -227,7 +227,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-8-2-2-1-1-2-4", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 350 lons.max <- 370 lats.min <- 10 @@ -269,7 +269,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## ############################################## test_that("1-1-2-2-2-2-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -318,7 +318,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-2-2-2-2-2-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -368,7 +368,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-3-2-2-2-2-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -10 lons.max <- -20 lats.min <- 10 @@ -418,7 +418,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-4-2-2-2-2-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -20 lons.max <- -10 lats.min <- 10 @@ -462,7 +462,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-5-2-2-2-2-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -10 lons.max <- 10 lats.min <- 10 @@ -512,7 +512,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-6-2-2-2-2-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 20 lons.max <- -10 lats.min <- 10 @@ -557,7 +557,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-7-2-2-2-2-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -601,7 +601,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-8-2-2-2-2-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 350 lons.max <- 370 lats.min <- 10 @@ -653,7 +653,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## ############################################## test_that("1-1-2-2-2-3-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -701,7 +701,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-2-2-2-2-3-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -750,7 +750,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-3-2-2-2-3-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -10 lons.max <- -20 lats.min <- 10 @@ -799,7 +799,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-4-2-2-2-3-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -20 lons.max <- -10 lats.min <- 10 @@ -844,7 +844,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-5-2-2-2-3-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -10 lons.max <- 10 lats.min <- 10 @@ -888,7 +888,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-6-2-2-2-3-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 20 lons.max <- -10 lats.min <- 10 @@ -937,7 +937,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-7-2-2-2-3-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -981,7 +981,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-8-2-2-2-3-2-3", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 350 lons.max <- 370 lats.min <- 10 diff --git a/tests/testthat/test-Start-reorder-lon0to360Coarse.R b/tests/testthat/test-Start-reorder-lon0to360Coarse.R index 567ad94..bf797f5 100644 --- a/tests/testthat/test-Start-reorder-lon0to360Coarse.R +++ b/tests/testthat/test-Start-reorder-lon0to360Coarse.R @@ -16,7 +16,7 @@ path_exp <- '/esarchive/exp/ncar/cesm-dple/monthly_mean/$var$/$var$_$sdate$.nc' ## latitude: -90 o 90 {-90, -89.05759 ...} #192 values ############################################## test_that("1-1-4-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -58,7 +58,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-2-4-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -89,7 +89,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-5-4-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -10 lons.max <- 10 lats.min <- 10 @@ -122,7 +122,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-6-4-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 10 lons.max <- -10 lats.min <- 10 @@ -154,7 +154,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-7-4-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -185,7 +185,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-8-4-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 350 lons.max <- 370 lats.min <- 10 @@ -218,7 +218,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## ############################################## test_that("1-1-4-2-2-2-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -259,7 +259,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-1-4-2-2-3-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -296,7 +296,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-2-4-2-2-2-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -333,7 +333,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-2-4-2-2-3-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -371,7 +371,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-3-4-2-2-2-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -10 lons.max <- -20 lats.min <- 10 @@ -409,7 +409,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-3-4-2-2-3-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -10 lons.max <- -20 lats.min <- 10 @@ -442,7 +442,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-4-4-2-2-2-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -20 lons.max <- -10 lats.min <- 10 @@ -475,7 +475,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-4-4-2-2-3-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -20 lons.max <- -10 lats.min <- 10 @@ -509,7 +509,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-5-4-2-2-2-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -538,7 +538,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-5-4-2-2-3-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -572,7 +572,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-6-4-2-2-2-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 350 lons.max <- 370 lats.min <- 10 @@ -606,7 +606,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-6-4-2-2-3-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 350 lons.max <- 370 lats.min <- 10 diff --git a/tests/testthat/test-Start-reorder-lon_-180to180.R b/tests/testthat/test-Start-reorder-lon_-180to180.R index b4de39f..96e98fb 100644 --- a/tests/testthat/test-Start-reorder-lon_-180to180.R +++ b/tests/testthat/test-Start-reorder-lon_-180to180.R @@ -18,7 +18,7 @@ sdate <- '199212' ############################################## test_that("1-1-2-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -58,7 +58,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-2-2-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -88,7 +88,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-3-2-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -10 lons.max <- -20 lats.min <- 10 @@ -119,7 +119,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-4-2-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -20 lons.max <- -10 lats.min <- 10 @@ -150,7 +150,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-5-2-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -10 lons.max <- 10 lats.min <- 10 @@ -181,7 +181,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-6-2-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 10 lons.max <- -10 lats.min <- 10 @@ -211,7 +211,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-8-2-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 170 lons.max <- 190 lats.min <- 10 @@ -242,7 +242,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## ############################################## test_that("1-1-2-2-2-2-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -281,7 +281,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-1-2-2-2-3-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -316,7 +316,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-2-2-2-2-2-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -351,7 +351,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-2-2-2-2-3-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -387,7 +387,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-3-2-2-2-2-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -10 lons.max <- -20 lats.min <- 10 @@ -423,7 +423,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-3-2-2-2-3-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -10 lons.max <- -20 lats.min <- 10 @@ -454,7 +454,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-4-2-2-2-2-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -20 lons.max <- -10 lats.min <- 10 @@ -485,7 +485,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-4-2-2-2-3-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -20 lons.max <- -10 lats.min <- 10 @@ -516,7 +516,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-5-2-2-2-2-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -10 lons.max <- 10 lats.min <- 10 @@ -557,7 +557,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-5-2-2-2-3-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -10 lons.max <- 10 lats.min <- 10 @@ -588,7 +588,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-6-2-2-2-2-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 20 lons.max <- -10 lats.min <- 10 @@ -624,7 +624,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-6-2-2-2-3-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 20 lons.max <- -10 lats.min <- 10 @@ -664,7 +664,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-7-2-2-2-2-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -696,7 +696,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-7-2-2-2-3-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -733,7 +733,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-8-2-2-2-2-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 350 lons.max <- 370 lats.min <- 10 @@ -765,7 +765,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-8-2-2-2-3-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 350 lons.max <- 370 lats.min <- 10 diff --git a/tests/testthat/test-Start-reorder-lon_0to360.R b/tests/testthat/test-Start-reorder-lon_0to360.R index 0b5ab1f..bd4749b 100644 --- a/tests/testthat/test-Start-reorder-lon_0to360.R +++ b/tests/testthat/test-Start-reorder-lon_0to360.R @@ -16,7 +16,7 @@ path_exp <- '/esarchive/exp/ecmwf/system5_m1/daily_mean/$var$_f6h/$var$_$sdate$. ############################################## test_that("1-1-2-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -58,7 +58,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-2-2-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -89,7 +89,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-5-2-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -10 lons.max <- 10 lats.min <- 10 @@ -122,7 +122,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-6-2-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 10 lons.max <- -10 lats.min <- 10 @@ -154,7 +154,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-7-2-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -185,7 +185,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-8-2-2-1-1-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 350 lons.max <- 370 lats.min <- 10 @@ -218,7 +218,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## ############################################## test_that("1-1-2-2-2-2-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -259,7 +259,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-1-2-2-2-3-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 10 lons.max <- 20 lats.min <- 10 @@ -296,7 +296,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-2-2-2-2-2-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -333,7 +333,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-2-2-2-2-3-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 20 lons.max <- 10 lats.min <- 10 @@ -371,7 +371,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-3-2-2-2-2-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -10 lons.max <- -20 lats.min <- 10 @@ -409,7 +409,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-3-2-2-2-3-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -10 lons.max <- -20 lats.min <- 10 @@ -442,7 +442,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-4-2-2-2-2-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -20 lons.max <- -10 lats.min <- 10 @@ -475,7 +475,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-4-2-2-2-3-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- -20 lons.max <- -10 lats.min <- 10 @@ -509,7 +509,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-5-2-2-2-2-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -538,7 +538,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-5-2-2-2-3-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 330 lons.max <- 350 lats.min <- 10 @@ -572,7 +572,7 @@ res <- Start(dat = list(list(path=path_exp)), ############################################## test_that("1-6-2-2-2-2-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 350 lons.max <- 370 lats.min <- 10 @@ -606,7 +606,7 @@ res <- Start(dat = list(list(path=path_exp)), }) ############################################## test_that("1-6-2-2-2-3-1-x", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() lons.min <- 350 lons.max <- 370 lats.min <- 10 diff --git a/tests/testthat/test-Start-reorder-retrieve.R b/tests/testthat/test-Start-reorder-retrieve.R index cb21923..4fc61bc 100644 --- a/tests/testthat/test-Start-reorder-retrieve.R +++ b/tests/testthat/test-Start-reorder-retrieve.R @@ -3,7 +3,7 @@ context("Start() lon Reorder non-transform retrieve test") ############################################## test_that("original range 0to360", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() ## Origin longitude in file: [0:359.722222222222] path_exp <- '/esarchive/exp/ecmwf/system5_m1/daily_mean/$var$_f6h/$var$_$sdate$.nc' @@ -83,7 +83,7 @@ res2 <- Start(dat = path_exp, ############################################## test_that("original range -180to180", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() ## Origin longitude in file: [0:359.722222222222] path_exp <- '/esarchive/recon/ecmwf/era5/original_files/reorder/daily_mean/$var$/$var$_$sdate$.nc' variable <- 'tas' diff --git a/tests/testthat/test-Start-split-merge.R b/tests/testthat/test-Start-split-merge.R index ce8b1dc..f1483d6 100644 --- a/tests/testthat/test-Start-split-merge.R +++ b/tests/testthat/test-Start-split-merge.R @@ -25,7 +25,7 @@ path.obs <- '/esarchive/recon/ecmwf/era5/1hourly/$var$/$var$_$file_date$.nc' test_that("1. split + merge + narm", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() obs <- Start(dat = path.obs, var = var_name, file_date = file_date, # a vector @@ -65,7 +65,7 @@ obs <- Start(dat = path.obs, test_that("2. no split + merge + narm", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() obs <- Start(dat = path.obs, var = var_name, file_date = file_date, # a vector @@ -105,7 +105,7 @@ obs <- Start(dat = path.obs, test_that("3. no split + merge + no narm", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() obs <- Start(dat = path.obs, var = var_name, file_date = file_date, # a vector diff --git a/tests/testthat/test-Start-transform-lon-across_meridian.R b/tests/testthat/test-Start-transform-lon-across_meridian.R index 3b433a3..94cc4b3 100644 --- a/tests/testthat/test-Start-transform-lon-across_meridian.R +++ b/tests/testthat/test-Start-transform-lon-across_meridian.R @@ -1,7 +1,7 @@ context("Start() transform across_meridian lon order check") test_that("first test", { -skip_on_cran("Skip test on CRAN") +skip_on_cran() repos <- "/esarchive/exp/ecmwf/system5_m1/monthly_mean/tas_f6h/$var$_$sdate$.nc" var <- 'tas' -- GitLab From 9c009998220af66df7569bb17218fc8ec89a02bb Mon Sep 17 00:00:00 2001 From: aho Date: Thu, 30 Jul 2020 13:43:42 +0200 Subject: [PATCH 37/60] Add testthat into 'Suggest' --- DESCRIPTION | 1 + 1 file changed, 1 insertion(+) diff --git a/DESCRIPTION b/DESCRIPTION index e29cc6a..41a3542 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -29,6 +29,7 @@ Imports: easyNCDF, s2dverification Suggests: + testthat, stats, utils License: LGPL-3 -- GitLab From a3c6f74aa8e9cd4e2e3506812a089b784234b328 Mon Sep 17 00:00:00 2001 From: aho Date: Thu, 30 Jul 2020 13:54:44 +0200 Subject: [PATCH 38/60] Remove unused line --- .Rbuildignore | 2 -- 1 file changed, 2 deletions(-) diff --git a/.Rbuildignore b/.Rbuildignore index cc9648a..4371830 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -9,10 +9,8 @@ #^inst/chunking/$ ^inst/doc/$ ^inst/doc/*$ -^tests/$ ^inst/doc/figures/$ ^inst/doc/usecase/$ -#^tests/testthat/*$ #^inst/PlotProfiling\.R$ # Suggested by http://r-pkgs.had.co.nz/package.html -- GitLab From 52f32c9e7e56ce8c90e46850fc7d641384ef4574 Mon Sep 17 00:00:00 2001 From: aho Date: Thu, 30 Jul 2020 14:18:17 +0200 Subject: [PATCH 39/60] Set environment 'NO_CRAN' as true if no specified --- tests/testthat/test-AddStep-DimNames.R | 2 ++ tests/testthat/test-Compute-NumChunks.R | 4 +++- tests/testthat/test-Start-global-lon-across_meridian.R | 2 ++ tests/testthat/test-Start-line_order-consistency.R | 2 ++ tests/testthat/test-Start-multiple-sdates.R | 2 ++ tests/testthat/test-Start-reorder-lat.R | 2 ++ tests/testthat/test-Start-reorder-latCoarse.R | 2 ++ tests/testthat/test-Start-reorder-lon-transform_-180to180.R | 2 ++ tests/testthat/test-Start-reorder-lon-transform_0to360.R | 2 ++ .../testthat/test-Start-reorder-lon-transform_0to360Coarse.R | 2 ++ tests/testthat/test-Start-reorder-lon0to360Coarse.R | 2 ++ tests/testthat/test-Start-reorder-lon_-180to180.R | 2 ++ tests/testthat/test-Start-reorder-lon_0to360.R | 2 ++ tests/testthat/test-Start-reorder-retrieve.R | 2 ++ tests/testthat/test-Start-split-merge.R | 3 +++ tests/testthat/test-Start-transform-lon-across_meridian.R | 2 ++ 16 files changed, 34 insertions(+), 1 deletion(-) diff --git a/tests/testthat/test-AddStep-DimNames.R b/tests/testthat/test-AddStep-DimNames.R index a197e70..dc40b97 100644 --- a/tests/testthat/test-AddStep-DimNames.R +++ b/tests/testthat/test-AddStep-DimNames.R @@ -1,3 +1,5 @@ +if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') + context("Error with bad dimensions tests.") test_that("Single File - Local execution", { skip_on_cran() diff --git a/tests/testthat/test-Compute-NumChunks.R b/tests/testthat/test-Compute-NumChunks.R index 41d91b7..e516262 100644 --- a/tests/testthat/test-Compute-NumChunks.R +++ b/tests/testthat/test-Compute-NumChunks.R @@ -1,6 +1,8 @@ +if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') + context("Number of chunks tests.") test_that("Single File - Local execution", { - +skip_on_cran() data <- Start(dataset = '/esarchive/recon/jma/jra55/monthly_mean/$var$_f6h/$var$_$sdate$$month$.nc', var = 'tas', sdate = '2000', diff --git a/tests/testthat/test-Start-global-lon-across_meridian.R b/tests/testthat/test-Start-global-lon-across_meridian.R index f233c4a..a35b4f4 100644 --- a/tests/testthat/test-Start-global-lon-across_meridian.R +++ b/tests/testthat/test-Start-global-lon-across_meridian.R @@ -1,3 +1,5 @@ +if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') + context("Start() across_meridia global lon length check") test_that("first test", { diff --git a/tests/testthat/test-Start-line_order-consistency.R b/tests/testthat/test-Start-line_order-consistency.R index f47f613..ea38491 100644 --- a/tests/testthat/test-Start-line_order-consistency.R +++ b/tests/testthat/test-Start-line_order-consistency.R @@ -1,3 +1,5 @@ +if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') + context("Start() line order consistency check") variable <- "tas" diff --git a/tests/testthat/test-Start-multiple-sdates.R b/tests/testthat/test-Start-multiple-sdates.R index 1a72667..25762d2 100644 --- a/tests/testthat/test-Start-multiple-sdates.R +++ b/tests/testthat/test-Start-multiple-sdates.R @@ -1,3 +1,5 @@ +if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') + context("Start() multiple sdate with split + merge dim") # When certain values in one observation file are required more than once, diff --git a/tests/testthat/test-Start-reorder-lat.R b/tests/testthat/test-Start-reorder-lat.R index 375bd93..013d663 100644 --- a/tests/testthat/test-Start-reorder-lat.R +++ b/tests/testthat/test-Start-reorder-lat.R @@ -1,3 +1,5 @@ +if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') + context("Start() lat Reorder test") #1 selector type 1-values(list) 2-values(vector) 3-indices 4-'all' 5-mix diff --git a/tests/testthat/test-Start-reorder-latCoarse.R b/tests/testthat/test-Start-reorder-latCoarse.R index fe9d3cd..e9329b3 100644 --- a/tests/testthat/test-Start-reorder-latCoarse.R +++ b/tests/testthat/test-Start-reorder-latCoarse.R @@ -1,3 +1,5 @@ +if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') + context("Start() lat Reorder test") #1 selector type 1-values(list) 2-values(vector) 3-indices 4-'all' 5-mix diff --git a/tests/testthat/test-Start-reorder-lon-transform_-180to180.R b/tests/testthat/test-Start-reorder-lon-transform_-180to180.R index e97a3f7..90be0f8 100644 --- a/tests/testthat/test-Start-reorder-lon-transform_-180to180.R +++ b/tests/testthat/test-Start-reorder-lon-transform_-180to180.R @@ -1,3 +1,5 @@ +if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') + context("Start() lon Reorder transform -180to180 test") #1 selector type 1-values(list) 2-values(vector) 3-indices 4-'all' 5-mix #2 selector range 1-[10, 20] 2-[20, 10] 3-[-10, -20] 4-[-20, -10] 5-[-10, 10] 6-[10, -10] 7-[300, 350] 8-[170, 190] diff --git a/tests/testthat/test-Start-reorder-lon-transform_0to360.R b/tests/testthat/test-Start-reorder-lon-transform_0to360.R index d2e7cbf..30f63c7 100644 --- a/tests/testthat/test-Start-reorder-lon-transform_0to360.R +++ b/tests/testthat/test-Start-reorder-lon-transform_0to360.R @@ -1,3 +1,5 @@ +if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') + context("Start() lon Reorder transform 0to360 test") #1 selector type 1-values(list) 2-values(vector) 3-indices 4-'all' 5-mix #2 selector range 1-[10, 20] 2-[20, 10] 3-[-10, -20] 4-[-20, -10] 5-[-10, 10] 6-[10, -10] 7-[300, 350] 8-[350, 370] diff --git a/tests/testthat/test-Start-reorder-lon-transform_0to360Coarse.R b/tests/testthat/test-Start-reorder-lon-transform_0to360Coarse.R index 008cd3a..7c490a7 100644 --- a/tests/testthat/test-Start-reorder-lon-transform_0to360Coarse.R +++ b/tests/testthat/test-Start-reorder-lon-transform_0to360Coarse.R @@ -1,3 +1,5 @@ +if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') + context("Start() lon Reorder transform 0to360 test") #1 selector type 1-values(list) 2-values(vector) 3-indices 4-'all' 5-mix #2 selector range 1-[10, 20] 2-[20, 10] 3-[-10, -20] 4-[-20, -10] 5-[-10, 10] 6-[10, -10] 7-[300, 350] 8-[350, 370] diff --git a/tests/testthat/test-Start-reorder-lon0to360Coarse.R b/tests/testthat/test-Start-reorder-lon0to360Coarse.R index bf797f5..5197493 100644 --- a/tests/testthat/test-Start-reorder-lon0to360Coarse.R +++ b/tests/testthat/test-Start-reorder-lon0to360Coarse.R @@ -1,3 +1,5 @@ +if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') + context("Start() lon Reorder non-transform 0to360 test") #1 selector type 1-values(list) 2-values(vector) 3-indices 4-'all' 5-mix #2 selector range 1-[10, 20] 2-[20, 10] 3-[-10, -20] 4-[-20, -10] 5-[-10, 10] 6-[10, -10] 7-[300, 350] 8-[350, 370] diff --git a/tests/testthat/test-Start-reorder-lon_-180to180.R b/tests/testthat/test-Start-reorder-lon_-180to180.R index 96e98fb..7d7048a 100644 --- a/tests/testthat/test-Start-reorder-lon_-180to180.R +++ b/tests/testthat/test-Start-reorder-lon_-180to180.R @@ -1,3 +1,5 @@ +if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') + context("Start() lon Reorder non-transform -180to180 test") #1 selector type 1-values(list) 2-values(vector) 3-indices 4-'all' 5-mix #2 selector range 1-[10, 20] 2-[20, 10] 3-[-10, -20] 4-[-20, -10] 5-[-10, 10] 6-[10, -10] 7-[300, 350] 8-[170, 190] diff --git a/tests/testthat/test-Start-reorder-lon_0to360.R b/tests/testthat/test-Start-reorder-lon_0to360.R index bd4749b..df7dd2f 100644 --- a/tests/testthat/test-Start-reorder-lon_0to360.R +++ b/tests/testthat/test-Start-reorder-lon_0to360.R @@ -1,3 +1,5 @@ +if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') + context("Start() lon Reorder non-transform 0to360 test") #1 selector type 1-values(list) 2-values(vector) 3-indices 4-'all' 5-mix #2 selector range 1-[10, 20] 2-[20, 10] 3-[-10, -20] 4-[-20, -10] 5-[-10, 10] 6-[10, -10] 7-[300, 350] 8-[350, 370] diff --git a/tests/testthat/test-Start-reorder-retrieve.R b/tests/testthat/test-Start-reorder-retrieve.R index 4fc61bc..f03a37a 100644 --- a/tests/testthat/test-Start-reorder-retrieve.R +++ b/tests/testthat/test-Start-reorder-retrieve.R @@ -1,3 +1,5 @@ +if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') + context("Start() lon Reorder non-transform retrieve test") diff --git a/tests/testthat/test-Start-split-merge.R b/tests/testthat/test-Start-split-merge.R index f1483d6..f29e88d 100644 --- a/tests/testthat/test-Start-split-merge.R +++ b/tests/testthat/test-Start-split-merge.R @@ -1,3 +1,6 @@ + +if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') + context("Start() split + merge dim and value check") var_name <- 'sfcWind' diff --git a/tests/testthat/test-Start-transform-lon-across_meridian.R b/tests/testthat/test-Start-transform-lon-across_meridian.R index 94cc4b3..85971af 100644 --- a/tests/testthat/test-Start-transform-lon-across_meridian.R +++ b/tests/testthat/test-Start-transform-lon-across_meridian.R @@ -1,3 +1,5 @@ +if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') + context("Start() transform across_meridian lon order check") test_that("first test", { -- GitLab From 8be4d8f39a1990ccd057e3d453baa46feb07e84f Mon Sep 17 00:00:00 2001 From: aho Date: Thu, 30 Jul 2020 16:38:16 +0200 Subject: [PATCH 40/60] Try to fix NO_CRAN env setting --- tests/testthat/test-Start-split-merge.R | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/tests/testthat/test-Start-split-merge.R b/tests/testthat/test-Start-split-merge.R index f29e88d..1b3f6de 100644 --- a/tests/testthat/test-Start-split-merge.R +++ b/tests/testthat/test-Start-split-merge.R @@ -1,5 +1,6 @@ -if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') +#if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') +if (!identical(Sys.getenv("NOT_CRAN"), "false")){ context("Start() split + merge dim and value check") @@ -145,3 +146,5 @@ obs <- Start(dat = path.obs, 3600 ) }) + +} -- GitLab From 9098d3a8d983a056a62435ca35ba9cb83f128503 Mon Sep 17 00:00:00 2001 From: aho Date: Thu, 30 Jul 2020 17:15:53 +0200 Subject: [PATCH 41/60] Comment the first 'if' because it is unecessary --- tests/testthat/test-AddStep-DimNames.R | 2 +- tests/testthat/test-Compute-NumChunks.R | 2 +- tests/testthat/test-Start-global-lon-across_meridian.R | 2 +- tests/testthat/test-Start-line_order-consistency.R | 2 +- tests/testthat/test-Start-multiple-sdates.R | 2 +- tests/testthat/test-Start-reorder-lat.R | 2 +- tests/testthat/test-Start-reorder-latCoarse.R | 2 +- tests/testthat/test-Start-reorder-lon-transform_-180to180.R | 2 +- tests/testthat/test-Start-reorder-lon-transform_0to360.R | 2 +- tests/testthat/test-Start-reorder-lon-transform_0to360Coarse.R | 2 +- tests/testthat/test-Start-reorder-lon0to360Coarse.R | 2 +- tests/testthat/test-Start-reorder-lon_-180to180.R | 2 +- tests/testthat/test-Start-reorder-lon_0to360.R | 2 +- tests/testthat/test-Start-reorder-retrieve.R | 2 +- tests/testthat/test-Start-split-merge.R | 3 --- tests/testthat/test-Start-transform-lon-across_meridian.R | 2 +- 16 files changed, 15 insertions(+), 18 deletions(-) diff --git a/tests/testthat/test-AddStep-DimNames.R b/tests/testthat/test-AddStep-DimNames.R index dc40b97..5577ff5 100644 --- a/tests/testthat/test-AddStep-DimNames.R +++ b/tests/testthat/test-AddStep-DimNames.R @@ -1,4 +1,4 @@ -if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') +#if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') context("Error with bad dimensions tests.") test_that("Single File - Local execution", { diff --git a/tests/testthat/test-Compute-NumChunks.R b/tests/testthat/test-Compute-NumChunks.R index e516262..319a18b 100644 --- a/tests/testthat/test-Compute-NumChunks.R +++ b/tests/testthat/test-Compute-NumChunks.R @@ -1,4 +1,4 @@ -if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') +#if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') context("Number of chunks tests.") test_that("Single File - Local execution", { diff --git a/tests/testthat/test-Start-global-lon-across_meridian.R b/tests/testthat/test-Start-global-lon-across_meridian.R index a35b4f4..1650703 100644 --- a/tests/testthat/test-Start-global-lon-across_meridian.R +++ b/tests/testthat/test-Start-global-lon-across_meridian.R @@ -1,4 +1,4 @@ -if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') +#if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') context("Start() across_meridia global lon length check") diff --git a/tests/testthat/test-Start-line_order-consistency.R b/tests/testthat/test-Start-line_order-consistency.R index ea38491..74ffae2 100644 --- a/tests/testthat/test-Start-line_order-consistency.R +++ b/tests/testthat/test-Start-line_order-consistency.R @@ -1,4 +1,4 @@ -if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') +#if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') context("Start() line order consistency check") diff --git a/tests/testthat/test-Start-multiple-sdates.R b/tests/testthat/test-Start-multiple-sdates.R index 25762d2..832205a 100644 --- a/tests/testthat/test-Start-multiple-sdates.R +++ b/tests/testthat/test-Start-multiple-sdates.R @@ -1,4 +1,4 @@ -if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') +#if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') context("Start() multiple sdate with split + merge dim") diff --git a/tests/testthat/test-Start-reorder-lat.R b/tests/testthat/test-Start-reorder-lat.R index 013d663..9c2729a 100644 --- a/tests/testthat/test-Start-reorder-lat.R +++ b/tests/testthat/test-Start-reorder-lat.R @@ -1,4 +1,4 @@ -if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') +#if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') context("Start() lat Reorder test") diff --git a/tests/testthat/test-Start-reorder-latCoarse.R b/tests/testthat/test-Start-reorder-latCoarse.R index e9329b3..4229b06 100644 --- a/tests/testthat/test-Start-reorder-latCoarse.R +++ b/tests/testthat/test-Start-reorder-latCoarse.R @@ -1,4 +1,4 @@ -if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') +#if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') context("Start() lat Reorder test") diff --git a/tests/testthat/test-Start-reorder-lon-transform_-180to180.R b/tests/testthat/test-Start-reorder-lon-transform_-180to180.R index 90be0f8..efbe178 100644 --- a/tests/testthat/test-Start-reorder-lon-transform_-180to180.R +++ b/tests/testthat/test-Start-reorder-lon-transform_-180to180.R @@ -1,4 +1,4 @@ -if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') +#if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') context("Start() lon Reorder transform -180to180 test") #1 selector type 1-values(list) 2-values(vector) 3-indices 4-'all' 5-mix diff --git a/tests/testthat/test-Start-reorder-lon-transform_0to360.R b/tests/testthat/test-Start-reorder-lon-transform_0to360.R index 30f63c7..0a973bc 100644 --- a/tests/testthat/test-Start-reorder-lon-transform_0to360.R +++ b/tests/testthat/test-Start-reorder-lon-transform_0to360.R @@ -1,4 +1,4 @@ -if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') +#if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') context("Start() lon Reorder transform 0to360 test") #1 selector type 1-values(list) 2-values(vector) 3-indices 4-'all' 5-mix diff --git a/tests/testthat/test-Start-reorder-lon-transform_0to360Coarse.R b/tests/testthat/test-Start-reorder-lon-transform_0to360Coarse.R index 7c490a7..01b5d68 100644 --- a/tests/testthat/test-Start-reorder-lon-transform_0to360Coarse.R +++ b/tests/testthat/test-Start-reorder-lon-transform_0to360Coarse.R @@ -1,4 +1,4 @@ -if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') +#if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') context("Start() lon Reorder transform 0to360 test") #1 selector type 1-values(list) 2-values(vector) 3-indices 4-'all' 5-mix diff --git a/tests/testthat/test-Start-reorder-lon0to360Coarse.R b/tests/testthat/test-Start-reorder-lon0to360Coarse.R index 5197493..cb7649a 100644 --- a/tests/testthat/test-Start-reorder-lon0to360Coarse.R +++ b/tests/testthat/test-Start-reorder-lon0to360Coarse.R @@ -1,4 +1,4 @@ -if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') +#if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') context("Start() lon Reorder non-transform 0to360 test") #1 selector type 1-values(list) 2-values(vector) 3-indices 4-'all' 5-mix diff --git a/tests/testthat/test-Start-reorder-lon_-180to180.R b/tests/testthat/test-Start-reorder-lon_-180to180.R index 7d7048a..bdfc1da 100644 --- a/tests/testthat/test-Start-reorder-lon_-180to180.R +++ b/tests/testthat/test-Start-reorder-lon_-180to180.R @@ -1,4 +1,4 @@ -if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') +#if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') context("Start() lon Reorder non-transform -180to180 test") #1 selector type 1-values(list) 2-values(vector) 3-indices 4-'all' 5-mix diff --git a/tests/testthat/test-Start-reorder-lon_0to360.R b/tests/testthat/test-Start-reorder-lon_0to360.R index df7dd2f..5faf713 100644 --- a/tests/testthat/test-Start-reorder-lon_0to360.R +++ b/tests/testthat/test-Start-reorder-lon_0to360.R @@ -1,4 +1,4 @@ -if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') +#if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') context("Start() lon Reorder non-transform 0to360 test") #1 selector type 1-values(list) 2-values(vector) 3-indices 4-'all' 5-mix diff --git a/tests/testthat/test-Start-reorder-retrieve.R b/tests/testthat/test-Start-reorder-retrieve.R index f03a37a..cb6cfc6 100644 --- a/tests/testthat/test-Start-reorder-retrieve.R +++ b/tests/testthat/test-Start-reorder-retrieve.R @@ -1,4 +1,4 @@ -if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') +#if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') context("Start() lon Reorder non-transform retrieve test") diff --git a/tests/testthat/test-Start-split-merge.R b/tests/testthat/test-Start-split-merge.R index 1b3f6de..e998844 100644 --- a/tests/testthat/test-Start-split-merge.R +++ b/tests/testthat/test-Start-split-merge.R @@ -1,6 +1,4 @@ - #if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') -if (!identical(Sys.getenv("NOT_CRAN"), "false")){ context("Start() split + merge dim and value check") @@ -147,4 +145,3 @@ obs <- Start(dat = path.obs, ) }) -} diff --git a/tests/testthat/test-Start-transform-lon-across_meridian.R b/tests/testthat/test-Start-transform-lon-across_meridian.R index 85971af..9ac0b8d 100644 --- a/tests/testthat/test-Start-transform-lon-across_meridian.R +++ b/tests/testthat/test-Start-transform-lon-across_meridian.R @@ -1,4 +1,4 @@ -if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') +#if (identical(Sys.getenv("NOT_CRAN"), "")) Sys.setenv(NOT_CRAN='true') context("Start() transform across_meridian lon order check") -- GitLab From ad616f8ef3bb9e25af4e8de1b183679c13d291e8 Mon Sep 17 00:00:00 2001 From: aho Date: Mon, 3 Aug 2020 14:45:46 +0200 Subject: [PATCH 42/60] Add @seealso and @return --- R/.nfs0000000001d0f55000000029 | Bin 0 -> 12288 bytes R/CDORemapper.R | 8 +++++++- R/NcCloser.R | 9 +++++---- 3 files changed, 12 insertions(+), 5 deletions(-) create mode 100644 R/.nfs0000000001d0f55000000029 diff --git a/R/.nfs0000000001d0f55000000029 b/R/.nfs0000000001d0f55000000029 new file mode 100644 index 0000000000000000000000000000000000000000..1a94a3beb971728d562dbee143b79fce781b7cea GIT binary patch literal 12288 zcmeI2O=}b}7{^obru7vOZ;$pcyRe>Y5g-CY;KC5F-7)qFtG!fKe6MWB zj@u1th=&#8nua9L_I;>LH#N7-NZgUM1Tko z0U|&IhyW2F0z`la{0{>C>R|wqn_hcy>G|ATc?-7|#)<6c?e|jHI;*bc!qZ6zb0uu7 z)e#HWXA|DM-0SMhx?Y^R-Y_f<;af$i39S^y#UOPYKKydw+hVmVmCR~gZX+zfIFqVh z}cG} zaXyna&lJ3hVl#vXgFyrBjg=K2tpKxTJe5{v;1%peaT(eJ9fFPIq3620FI}q-oOlq# zjw4SXk~~1?ScN)Exf}FhT}lX~<#A$gqKFe{k*8AG!lDZ9$}IB3$hO0R0*!kCBO7Ej zaA-@5N2M@rpv546(u3XDMsCIU?nbeQij;2Yxsj$sr9`J#Sgqc#DyndMN(AAo=N5L9 zRpEYw!2o-8R8I(1?S*;n0ahk-lSaN6zjJyh(uJnor9v@ynhr!V}JQ6PF$flS^ Zu>cidjcyA00XOB&jMxq1piOns* Date: Mon, 3 Aug 2020 14:49:00 +0200 Subject: [PATCH 43/60] Format adjustment for CRAN --- DESCRIPTION | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 41a3542..6883649 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -9,15 +9,15 @@ Authors@R: c( person("Javier", "Vegas", , "javier.vegas@bsc.es", role = c("ctb")), person("Pierre-Antoine", "Bretonniere", , "pierre-antoine.bretonniere@bsc.es", role = c("ctb")), person("Roberto", "Serrano", , "rsnotivoli@gmal.com", role = c("ctb"))) -Description: Tool to automatically fetch, transform and arrange subsets of - multidimensional data sets (collections of files) stored in local and/or remote +Description: Tool to automatically fetch, transform and arrange subsets of multi- + dimensional data sets (collections of files) stored in local and/or remote file systems or servers, using multicore capabilities where possible. The tool provides an interface to perceive a collection of data sets as a single large multidimensional data array, and enables the user to request for automatic retrieval, processing and arrangement of subsets of the large array. Wrapper functions to add support for custom file formats can be plugged in/out, making - the tool suitable for any research field where large multidimensional data sets - are involved. + the tool suitable for any research field where large multidimensional data + sets are involved. Depends: R (>= 3.2.0) Imports: -- GitLab From 9a0f86ce87529e358e47ff95f1bff15d5e4f71db Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 5 Aug 2020 10:40:41 +0200 Subject: [PATCH 44/60] Raise version to v2.0.0 --- DESCRIPTION | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index 6883649..5be095e 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,6 +1,6 @@ Package: startR Title: Automatically Retrieve Multidimensional Distributed Data Sets -Version: 1.0.3 +Version: 2.0.0 Authors@R: c( person("BSC-CNS", role = c("aut", "cph")), person("Nicolau", "Manubens", , "nicolau.manubens@bsc.es", role = c("aut")), -- GitLab From dcaaed618cb75fc11bf67911778430d2a41c01c8 Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 5 Aug 2020 10:42:30 +0200 Subject: [PATCH 45/60] Seperate indices() and values() from Utils.R --- R/.nfs0000000001d0f55000000029 | Bin 12288 -> 0 bytes R/Utils.R | 29 ---------------------- R/indices.R | 34 +++++++++++++++++++++++++ R/values.R | 35 ++++++++++++++++++++++++++ man/CDORemapper.Rd | 11 ++++++++- man/NcCloser.Rd | 11 ++++++--- man/indices.Rd | 38 +++++++++++++++++++--------- man/values.Rd | 44 +++++++++++++++++++++++++++++++++ 8 files changed, 157 insertions(+), 45 deletions(-) delete mode 100644 R/.nfs0000000001d0f55000000029 create mode 100644 R/indices.R create mode 100644 R/values.R create mode 100644 man/values.Rd diff --git a/R/.nfs0000000001d0f55000000029 b/R/.nfs0000000001d0f55000000029 deleted file mode 100644 index 1a94a3beb971728d562dbee143b79fce781b7cea..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 12288 zcmeI2O=}b}7{^obru7vOZ;$pcyRe>Y5g-CY;KC5F-7)qFtG!fKe6MWB zj@u1th=&#8nua9L_I;>LH#N7-NZgUM1Tko z0U|&IhyW2F0z`la{0{>C>R|wqn_hcy>G|ATc?-7|#)<6c?e|jHI;*bc!qZ6zb0uu7 z)e#HWXA|DM-0SMhx?Y^R-Y_f<;af$i39S^y#UOPYKKydw+hVmVmCR~gZX+zfIFqVh z}cG} zaXyna&lJ3hVl#vXgFyrBjg=K2tpKxTJe5{v;1%peaT(eJ9fFPIq3620FI}q-oOlq# zjw4SXk~~1?ScN)Exf}FhT}lX~<#A$gqKFe{k*8AG!lDZ9$}IB3$hO0R0*!kCBO7Ej zaA-@5N2M@rpv546(u3XDMsCIU?nbeQij;2Yxsj$sr9`J#Sgqc#DyndMN(AAo=N5L9 zRpEYw!2o-8R8I(1?S*;n0ahk-lSaN6zjJyh(uJnor9v@ynhr!V}JQ6PF$flS^ Zu>cidjcyA00XOB&jMxq1piOns* n_chunks)) { stop("Requested chunk index out of bounds.") diff --git a/R/indices.R b/R/indices.R new file mode 100644 index 0000000..3277f0f --- /dev/null +++ b/R/indices.R @@ -0,0 +1,34 @@ +#'Specify dimension selectors with indices +#' +#'This is a helper function used in a Start() call to define the desired range +#'of dimensions. It selects the indices of the coordinate variable from +#'original data. See details in the documentation of the parameter \code{\dots} +#''indices to take' of the function Start(). +#' +#'@param x A numeric vector or a list with two nemerics to take all the +#' elements between the two specified indices (both extremes inclusive). +#'@return Same as input, but with additional attribute 'indices', 'values', and +#' 'chunk'. +#'@examples +#' # Used in Start(): +#' data_path <- system.file('extdata', package = 'startR') +#' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') +#' sdates <- c('200011', '200012') +#' data <- Start(dat = path_obs, +#' var = 'tos', +#' sdate = sdates, +#' time = 'all', +#' latitude = indices(1:2), +#' longitude = indices(list(2, 14)), +#' return_vars = list(latitude = 'dat', +#' longitude = 'dat', +#' time = 'sdate'), +#' retrieve = FALSE) +#'@seealso [values()] +#'@export +indices <- function(x) { + attr(x, 'indices') <- TRUE + attr(x, 'values') <- FALSE + attr(x, 'chunk') <- c(chunk = 1, n_chunks = 1) + x +} diff --git a/R/values.R b/R/values.R new file mode 100644 index 0000000..82c3ae2 --- /dev/null +++ b/R/values.R @@ -0,0 +1,35 @@ +#'Specify dimension selectors with actual values +#' +#'This is a helper function used in a Start() call to define the desired range +#'of dimensions. It specifies the actual value to be matched with the +#'coordinate variable. See details in the documentation of the parameter +#'\code{\dots} 'indices to take' of the function Start(). +#'@param x A numeric vector or a list with two nemerics to take all the element +#' between the two specified values (both extremes inclusive). +#'@return Same as input, but with additional attribute 'indices', 'values', and +#' 'chunk'. +#'@examples +#' # Used in Start(): +#' data_path <- system.file('extdata', package = 'startR') +#' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') +#' sdates <- c('200011', '200012') +#' data <- Start(dat = path_obs, +#' var = 'tos', +#' sdate = sdates, +#' time = 'all', +#' latitude = values(seq(-80, 80, 20)), +#' latitude_reorder = Sort(), +#' longitude = values(list(10, 300)), +#' longitude_reorder = CircularSort(0, 360), +#' return_vars = list(latitude = 'dat', +#' longitude = 'dat', +#' time = 'sdate'), +#' retrieve = FALSE) +#'@seealso [indices()] +#'@export +values <- function(x) { + attr(x, 'indices') <- FALSE + attr(x, 'values') <- TRUE + attr(x, 'chunk') <- c(chunk = 1, n_chunks = 1) + x +} diff --git a/man/CDORemapper.Rd b/man/CDORemapper.Rd index 418bf5d..984e127 100644 --- a/man/CDORemapper.Rd +++ b/man/CDORemapper.Rd @@ -22,12 +22,18 @@ the parameter 'transform' of the function Start(). The default value is NULL.} as provided in the parameter 'transform_params' in a Start() call. See details in the documentation of the parameter 'transform' of the function Start().} } +\value{ +An array with the same amount of dimensions as the input data array, + potentially with different sizes, and potentially with the attribute + 'variables' with additional auxiliary data. See details in the documentation + of the parameter 'transform' of the function \code{Start()}. +} \description{ This is a transform function that uses CDO software to remap longitude-latitude data subsets onto a specified target grid, intended for use as parameter 'transform' in a Start() call. This function complies with the input/output interface required by Start() defined in the documentation for the parameter -'transform' of function Start().\cr +'transform' of function Start().\cr\cr This function uses the function CDORemap() in the package 's2dverification' to perform the interpolation, hence CDO is required to be installed. } @@ -55,4 +61,7 @@ perform the interpolation, hence CDO is required to be installed. retrieve = FALSE) } +\seealso{ +\code{\link[s2dverification]{CDORemap}} +} diff --git a/man/NcCloser.Rd b/man/NcCloser.Rd index df53096..fbff623 100644 --- a/man/NcCloser.Rd +++ b/man/NcCloser.Rd @@ -16,11 +16,11 @@ This function returns NULL. } \description{ This is a file closer function for NetCDF files, intended for use as -parameter file_closer in a Start() call. This function complies with the +parameter 'file_closer' in a Start() call. This function complies with the input/output interface required by Start() defined in the documentation for -the parameter 'file_closer'.\cr -This function uses the function NcClose() in the package 'easyNCDF', which in -turn uses nc_close() in the package 'ncdf4'. +the parameter 'file_closer'.\cr\cr +This function uses the function \code{NcClose()} in the package 'easyNCDF', +which in turn uses \code{nc_close()} in the package 'ncdf4'. } \examples{ data_path <- system.file('extdata', package = 'startR') @@ -29,4 +29,7 @@ connection <- NcOpener(path_obs) NcCloser(connection) } +\seealso{ +\code{\link[easyNCDF]{NcClose}} +} diff --git a/man/indices.Rd b/man/indices.Rd index 4bb890b..498200d 100644 --- a/man/indices.Rd +++ b/man/indices.Rd @@ -1,26 +1,42 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/Utils.R +% Please edit documentation in R/indices.R \name{indices} \alias{indices} -\alias{values} -\title{Specify dimension selectors} +\title{Specify dimension selectors with indices} \usage{ indices(x) - -values(x) } \arguments{ -\item{x}{A numeric vector or a list with two nemeric elements.} +\item{x}{A numeric vector or a list with two nemerics to take all the +elements between the two specified indices (both extremes inclusive).} } \value{ Same as input, but with additional attribute 'indices', 'values', and 'chunk'. } \description{ -The helper functions for use in a \code{Start()} call to define -the desired range of dimensions. \code{indices()} selects the indices of the -coordinate variable from original data, and \code{values()} specifies the -actual value to be matched with the coordinate variable. See details in the -documentation of the parameter \code{\dots} of the function \code{Start()}. +This is a helper function used in a Start() call to define the desired range +of dimensions. It selects the indices of the coordinate variable from +original data. See details in the documentation of the parameter \code{\dots} +'indices to take' of the function Start(). +} +\examples{ +# Used in Start(): + data_path <- system.file('extdata', package = 'startR') + path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') + sdates <- c('200011', '200012') + data <- Start(dat = path_obs, + var = 'tos', + sdate = sdates, + time = 'all', + latitude = indices(1:2), + longitude = indices(list(2, 14)), + return_vars = list(latitude = 'dat', + longitude = 'dat', + time = 'sdate'), + retrieve = FALSE) +} +\seealso{ +[values()] } diff --git a/man/values.Rd b/man/values.Rd new file mode 100644 index 0000000..6ce9c66 --- /dev/null +++ b/man/values.Rd @@ -0,0 +1,44 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/values.R +\name{values} +\alias{values} +\title{Specify dimension selectors with actual values} +\usage{ +values(x) +} +\arguments{ +\item{x}{A numeric vector or a list with two nemerics to take all the element +between the two specified values (both extremes inclusive).} +} +\value{ +Same as input, but with additional attribute 'indices', 'values', and + 'chunk'. +} +\description{ +This is a helper function used in a Start() call to define the desired range +of dimensions. It specifies the actual value to be matched with the +coordinate variable. See details in the documentation of the parameter +\code{\dots} 'indices to take' of the function Start(). +} +\examples{ +# Used in Start(): + data_path <- system.file('extdata', package = 'startR') + path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') + sdates <- c('200011', '200012') + data <- Start(dat = path_obs, + var = 'tos', + sdate = sdates, + time = 'all', + latitude = values(seq(-80, 80, 20)), + latitude_reorder = Sort(), + longitude = values(list(10, 300)), + longitude_reorder = CircularSort(0, 360), + return_vars = list(latitude = 'dat', + longitude = 'dat', + time = 'sdate'), + retrieve = FALSE) +} +\seealso{ +[indices()] +} + -- GitLab From 0e0371a603e0d254b9718177868e685a30b7017b Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 5 Aug 2020 10:57:49 +0200 Subject: [PATCH 46/60] Adjust doc format --- R/Compute.R | 2 +- man/Compute.Rd | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/R/Compute.R b/R/Compute.R index 63bc2ee..7e2125f 100644 --- a/R/Compute.R +++ b/R/Compute.R @@ -5,7 +5,7 @@ #'execution. The execution can be operated locally or on a remote machine. If #'it is the latter case, the configuration of the machine needs to be #'sepecified in the function, and the EC-Flow server is required to be -#'installed.\cr +#'installed.\cr\cr #'The execution can be operated by chunks to avoid overloading the RAM memory. #'After all the chunks are finished, Compute() will gather and merge them, and #'return a single data object, including one or multiple multidimensional data diff --git a/man/Compute.Rd b/man/Compute.Rd index a859cc2..956992b 100644 --- a/man/Compute.Rd +++ b/man/Compute.Rd @@ -69,7 +69,7 @@ AddStep(). This function specifies the execution parameters and triggers the execution. The execution can be operated locally or on a remote machine. If it is the latter case, the configuration of the machine needs to be sepecified in the function, and the EC-Flow server is required to be -installed.\cr +installed.\cr\cr The execution can be operated by chunks to avoid overloading the RAM memory. After all the chunks are finished, Compute() will gather and merge them, and return a single data object, including one or multiple multidimensional data -- GitLab From 5b54d605bde94de2dc2f54f4445ddfda9bb8a1fa Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 5 Aug 2020 10:58:14 +0200 Subject: [PATCH 47/60] Remove @export in ByChunks() --- NAMESPACE | 1 - R/ByChunks.R | 10 +++++----- man/ByChunks.Rd | 9 +++++---- 3 files changed, 10 insertions(+), 10 deletions(-) diff --git a/NAMESPACE b/NAMESPACE index 93b16a6..619dfb1 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -1,7 +1,6 @@ # Generated by roxygen2: do not edit by hand export(AddStep) -export(ByChunks) export(CDORemapper) export(CircularSort) export(Collect) diff --git a/R/ByChunks.R b/R/ByChunks.R index 80cffe2..812192b 100644 --- a/R/ByChunks.R +++ b/R/ByChunks.R @@ -1,8 +1,8 @@ #'Execute the operation by chunks #' -#'This is a function used in Compute(), executing the operation by the chunks -#'specified in Compute(). It also returns the configuration details and -#'profiling information. +#'This is an internal function used in Compute(), executing the operation by +#'the chunks specified in Compute(). It also returns the configuration details +#'and profiling information. #' #'@param step_fun A function with the class 'startR_step_fun' containing the #' details of operation. @@ -20,7 +20,8 @@ #' to use for the computation. The default value is 1. #'@param cluster A list of components that define the configuration of the #' machine to be run on. The comoponents vary from the different machines. -#' Check https://earth.bsc.es/gitlab/es/startR/ for more details and examples. +#' Check \href{https://earth.bsc.es/gitlab/es/startR/}{startR GitLab} for more +#' details and examples. #' Only needed when the computation is not run locally. The default value is #' NULL. #'@param ecflow_suite_dir A character string indicating the path to a folder in @@ -79,7 +80,6 @@ #' ByChunks(step, data) #' #'@import multiApply -#'@export ByChunks <- function(step_fun, cube_headers, ..., chunks = 'auto', threads_load = 2, threads_compute = 1, cluster = NULL, diff --git a/man/ByChunks.Rd b/man/ByChunks.Rd index 456f5a7..9c391ae 100644 --- a/man/ByChunks.Rd +++ b/man/ByChunks.Rd @@ -29,7 +29,8 @@ to use for the computation. The default value is 1.} \item{cluster}{A list of components that define the configuration of the machine to be run on. The comoponents vary from the different machines. -Check https://earth.bsc.es/gitlab/es/startR/ for more details and examples. +Check \href{https://earth.bsc.es/gitlab/es/startR/}{startR GitLab} for more +details and examples. Only needed when the computation is not run locally. The default value is NULL.} @@ -67,9 +68,9 @@ A list of data arrays for the output returned by the last step in the attached as attributes to the returned list of arrays. } \description{ -This is a function used in Compute(), executing the operation by the chunks -specified in Compute(). It also returns the configuration details and -profiling information. +This is an internal function used in Compute(), executing the operation by +the chunks specified in Compute(). It also returns the configuration details +and profiling information. } \examples{ # ByChunks() is internally used in Compute(), not intended to be used by -- GitLab From 4e26cc7e87a89a762d0c6507865c759361115c30 Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 5 Aug 2020 11:05:32 +0200 Subject: [PATCH 48/60] Remove Subset() and use ClimProjDiags::Subset instead --- NAMESPACE | 2 +- R/Start.R | 7 ++- R/Subset.R | 144 -------------------------------------------------- R/Utils.R | 5 +- man/Subset.Rd | 62 ---------------------- 5 files changed, 10 insertions(+), 210 deletions(-) delete mode 100644 R/Subset.R delete mode 100644 man/Subset.Rd diff --git a/NAMESPACE b/NAMESPACE index 619dfb1..81fe78c 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -14,7 +14,6 @@ export(SelectorChecker) export(Sort) export(Start) export(Step) -export(Subset) export(indices) export(values) import(abind) @@ -23,4 +22,5 @@ import(easyNCDF) import(future) import(multiApply) import(parallel) +importFrom(ClimProjDiags,Subset) importFrom(s2dverification,CDORemap) diff --git a/R/Start.R b/R/Start.R index 7601e8e..987741e 100644 --- a/R/Start.R +++ b/R/Start.R @@ -768,7 +768,8 @@ #' time = 'sdate'), #' retrieve = FALSE) #' -#'@import bigmemory multiApply parallel abind future +#'@import bigmemory multiApply parallel abind future +#'@importFrom ClimProjDiags Subset #'@export Start <- function(..., # dim = indices/selectors, # dim_var = 'var', @@ -801,6 +802,10 @@ Start <- function(..., # dim = indices/selectors, #, config_file = NULL #dictionary_dim_names = , #dictionary_var_names = + + # Specify Subset() is from ClimProjDiags + Subset <- ClimProjDiags::Subset + dim_params <- list(...) # Take *_var parameters apart diff --git a/R/Subset.R b/R/Subset.R deleted file mode 100644 index b5b22f1..0000000 --- a/R/Subset.R +++ /dev/null @@ -1,144 +0,0 @@ -#'Subset a data array -#' -#'This function allows to subset (i.e. slice, take a chunk of) an array, in a -#'similar way as done in the function \code{take()} in the package plyr. There -#'are two main inprovements:\cr -#'The input array can have dimension names, either -#'in \code{names(dim(x))} or in the attribute 'dimensions', and the dimensions -#'to subset along can be specified via the parameter \code{along} either with -#'integer indices or either by their name.\cr -#'There are additional ways to adjust which dimensions are dropped in the -#'resulting array: either to drop all, to drop none, to drop only the ones that -#'have been sliced or to drop only the ones that have not been sliced.\cr -#'If an array is provided without dimension names, dimension names taken from -#'the parameter \code{dim_names} will be added to the array. -#' -#'@param x A multidimensional array to be sliced. It can have dimension names -#' either in \code{names(dim(x))} or either in the attribute 'dimensions'. -#'@param along Vector with references to the dimensions to take the subset -#' from: either integers or dimension names. -#'@param indices List of indices to take from each dimension specified in -#' 'along'. If a single dimension is specified in 'along' the indices can be -#' directly provided as a single integer or as a vector. -#'@param drop Whether to drop all the dimensions of length 1 in the resulting -#' array, none, only those that are specified in 'along', or only those that -#' are not specified in 'along'. The possible values are, respectively: 'all' -#' or TRUE, 'none' or FALSE, 'selected', and 'non-selected'. -#'@return An array same as the input 'x' except the dimensions being subsetted. -#'@examples -#' data_path <- system.file('extdata', package = 'startR') -#' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') -#' sdates <- c('200011', '200012') -#' data <- Start(dat = path_obs, -#' var = 'tos', -#' sdate = sdates, -#' time = 'all', -#' latitude = 'all', -#' longitude = 'all', -#' return_vars = list(latitude = 'dat', -#' longitude = 'dat', -#' time = 'sdate'), -#' retrieve = TRUE) -#' -#' subset <- Subset(data, c('dat', 'var', 'time'), -#' list(1, 1, 1), drop = 'selected') -#' dim(subset) -#' -#'@export -Subset <- function(x, along, indices, drop = FALSE) { - # Check x - if (!is.array(x)) { - stop("Input array 'x' must be a numeric array.") - } - - # Take the input array dimension names - dim_names <- attr(x, 'dimensions') - if (!is.character(dim_names)) { - dim_names <- names(dim(x)) - } - if (!is.character(dim_names)) { - if (any(sapply(along, is.character))) { - stop("The input array 'x' doesn't have labels for the dimensions but the parameter 'along' contains dimension names.") - } - } - - # Check along - if (any(sapply(along, function(x) !is.numeric(x) && !is.character(x)))) { - stop("All provided dimension indices in 'along' must be integers or character strings.") - } - if (any(sapply(along, is.character))) { - req_dimnames <- along[which(sapply(along, is.character))] - if (length(unique(req_dimnames)) < length(req_dimnames)) { - stop("The parameter 'along' must not contain repeated dimension names.") - } - along[which(sapply(along, is.character))] <- match(req_dimnames, dim_names) - if (any(is.na(along))) { - stop("Could not match all dimension names in 'indices' with dimension names in input array 'x'.") - } - along <- as.numeric(along) - } - - # Check indices - if (!is.list(indices)) { - indices <- list(indices) - } - - # Check parameter drop - dims_to_drop <- c() - if (is.character(drop)) { - if (drop == 'all') { - drop <- TRUE - } else if (any(drop %in% c('selected', 'non-selected', 'none'))) { - if (drop == 'selected') { - dims_to_drop <- along[which(sapply(indices, length) == 1)] - } else if (drop == 'non-selected') { - dims_to_drop <- dim(x) == 1 - dims_to_drop[along] <- FALSE - dims_to_drop <- which(dims_to_drop) - } - drop <- FALSE - } else { - stop("Parameter 'drop' must be one of TRUE, FALSE, 'all', 'selected', 'non-selected', 'none'.") - } - } else if (!is.logical(drop)) { - stop("Parameter 'drop' must be one of TRUE, FALSE, 'all', 'selected', 'non-selected', 'none'.") - } - - # Take the subset - nd <- length(dim(x)) - index <- as.list(rep(TRUE, nd)) - index[along] <- indices - subset <- eval(as.call(c(as.name("["), as.name("x"), index, drop = drop))) - # If dropped all dimensions, need to drop dimnames too - if (is.character(dim_names) && drop == TRUE) { - dim_names_to_remove <- unique(c(along[which(sapply(indices, length) == 1)], - which(dim(x) == 1))) - if (length(dim_names_to_remove) > 0) { - dim_names <- dim_names[-dim_names_to_remove] - } - } - - # Amend the final dimensions and put dimnames and attributes - metadata <- attributes(x) - metadata[['dim']] <- dim(subset) - if (length(dims_to_drop) > 0) { - metadata[['dim']] <- metadata[['dim']][-dims_to_drop] - if (is.character(dim_names)) { - names(metadata[['dim']]) <- dim_names[-dims_to_drop] - if ('dimensions' %in% names(attributes(x))) { - metadata[['dimensions']] <- dim_names[-dims_to_drop] - } - } - if (length(metadata[['dim']]) == 0) { - metadata['dim'] <- list(NULL) - metadata['dimensions'] <- list(NULL) - } - } else if (is.character(dim_names)) { - names(metadata[['dim']]) <- dim_names - if ('dimensions' %in% names(attributes(x))) { - metadata[['dimensions']] <- dim_names - } - } - attributes(subset) <- metadata - subset -} diff --git a/R/Utils.R b/R/Utils.R index 88a6749..a4255c1 100644 --- a/R/Utils.R +++ b/R/Utils.R @@ -1,4 +1,5 @@ #'@import abind +#'@importFrom ClimProjDiags Subset .chunk <- function(chunk, n_chunks, selectors) { if (any(chunk > n_chunks)) { stop("Requested chunk index out of bounds.") @@ -33,8 +34,8 @@ } old_indices <- attr(selectors, 'indices') old_values <- attr(selectors, 'values') - selectors <- Subset(selectors, 1:length(chunk), - lapply(1:length(chunk), + selectors <- ClimProjDiags::Subset(selectors, 1:length(chunk), + lapply(1:length(chunk), function(x) { n_indices <- dim(selectors)[x] chunk_sizes <- rep(floor(n_indices / n_chunks[x]), n_chunks[x]) diff --git a/man/Subset.Rd b/man/Subset.Rd deleted file mode 100644 index 8d7120b..0000000 --- a/man/Subset.Rd +++ /dev/null @@ -1,62 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/Subset.R -\name{Subset} -\alias{Subset} -\title{Subset a data array} -\usage{ -Subset(x, along, indices, drop = FALSE) -} -\arguments{ -\item{x}{A multidimensional array to be sliced. It can have dimension names -either in \code{names(dim(x))} or either in the attribute 'dimensions'.} - -\item{along}{Vector with references to the dimensions to take the subset -from: either integers or dimension names.} - -\item{indices}{List of indices to take from each dimension specified in -'along'. If a single dimension is specified in 'along' the indices can be -directly provided as a single integer or as a vector.} - -\item{drop}{Whether to drop all the dimensions of length 1 in the resulting -array, none, only those that are specified in 'along', or only those that -are not specified in 'along'. The possible values are, respectively: 'all' -or TRUE, 'none' or FALSE, 'selected', and 'non-selected'.} -} -\value{ -An array same as the input 'x' except the dimensions being subsetted. -} -\description{ -This function allows to subset (i.e. slice, take a chunk of) an array, in a -similar way as done in the function \code{take()} in the package plyr. There -are two main inprovements:\cr -The input array can have dimension names, either -in \code{names(dim(x))} or in the attribute 'dimensions', and the dimensions -to subset along can be specified via the parameter \code{along} either with -integer indices or either by their name.\cr -There are additional ways to adjust which dimensions are dropped in the -resulting array: either to drop all, to drop none, to drop only the ones that -have been sliced or to drop only the ones that have not been sliced.\cr -If an array is provided without dimension names, dimension names taken from -the parameter \code{dim_names} will be added to the array. -} -\examples{ - data_path <- system.file('extdata', package = 'startR') - path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') - sdates <- c('200011', '200012') - data <- Start(dat = path_obs, - var = 'tos', - sdate = sdates, - time = 'all', - latitude = 'all', - longitude = 'all', - return_vars = list(latitude = 'dat', - longitude = 'dat', - time = 'sdate'), - retrieve = TRUE) - - subset <- Subset(data, c('dat', 'var', 'time'), - list(1, 1, 1), drop = 'selected') - dim(subset) - -} - -- GitLab From cbde227d8ab53b71b17703cff453e9eebbcee39f Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 5 Aug 2020 12:19:41 +0200 Subject: [PATCH 49/60] Add ClimProjDiags in DESCRIPTION --- .Rbuildignore | 10 +- DESCRIPTION | 3 +- R/NcCloser.R | 2 +- R/NcDataReader.R | 10 +- R/NcDimReader.R | 4 +- R/NcOpener.R | 6 +- R/NcVarReader.R | 2 +- R/SelectorChecker.R | 10 +- R/Sort.R | 22 +-- R/Start.R | 338 ++++++++++++++++++++--------------------- R/Step.R | 2 +- man/NcCloser.Rd | 3 +- man/NcDataReader.Rd | 12 +- man/NcDimReader.Rd | 6 +- man/NcOpener.Rd | 8 +- man/NcVarReader.Rd | 2 +- man/SelectorChecker.Rd | 10 +- man/Sort.Rd | 22 +-- man/Start.Rd | 338 ++++++++++++++++++++--------------------- man/Step.Rd | 2 +- 20 files changed, 408 insertions(+), 404 deletions(-) diff --git a/.Rbuildignore b/.Rbuildignore index 4371830..e90141b 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -4,13 +4,13 @@ .*\.pdf$ .*^(?!inst)\.nc$ ^README\.md$ -\..*\.RData$ -^vignettes$ +#\..*\.RData$ +#^vignettes$ #^inst/chunking/$ ^inst/doc/$ -^inst/doc/*$ -^inst/doc/figures/$ -^inst/doc/usecase/$ +#^inst/doc/*$ +#^inst/doc/figures/$ +#^inst/doc/usecase/$ #^inst/PlotProfiling\.R$ # Suggested by http://r-pkgs.had.co.nz/package.html diff --git a/DESCRIPTION b/DESCRIPTION index 5be095e..457c13d 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -27,7 +27,8 @@ Imports: multiApply (>= 2.1.1), parallel, easyNCDF, - s2dverification + s2dverification, + ClimProjDiags Suggests: testthat, stats, diff --git a/R/NcCloser.R b/R/NcCloser.R index 74e9155..7ee8f89 100644 --- a/R/NcCloser.R +++ b/R/NcCloser.R @@ -17,7 +17,7 @@ #'path_obs <- file.path(data_path, 'obs/monthly_mean/tos/tos_200011.nc') #'connection <- NcOpener(path_obs) #'NcCloser(connection) -#' +#'@seealso [NcOpener()] [NcDimReader()] [NcDataReader()] [NcVarReader()] #'@import easyNCDF #'@export NcCloser <- function(file_object) { diff --git a/R/NcDataReader.R b/R/NcDataReader.R index 54b838a..806550f 100644 --- a/R/NcDataReader.R +++ b/R/NcDataReader.R @@ -3,7 +3,7 @@ #'This is a data reader function for NetCDF files, intended for use as parameter #'file_data_reader in a Start() call. This function complies with the #'input/output interface required by Start() defined in the documentation for -#'the parameter 'file_data_reader'.\cr +#'the parameter 'file_data_reader'.\cr\cr #'This function uses the function NcToArray() in the package 'easyNCDF', which #'in turn uses nc_var_get() in the package 'ncdf4'. #' @@ -29,9 +29,9 @@ #' parameter 'file_data_reader' of the function Start(). #' #'@return A multidimensional data array with the named dimensions and indices -#' requested in inner_indices, potentially with the attribute 'variables' with -#' additional auxiliary data. See details in the documentation of the parameter -#' 'file_data_reader' of the function Start(). +#' requested in 'inner_indices', potentially with the attribute 'variables' +#' with additional auxiliary data. See details in the documentation of the +#' parameter 'file_data_reader' of the function Start(). #'@examples #' data_path <- system.file('extdata', package = 'startR', mustWork = TRUE) #' file_to_open <- file.path(data_path, 'obs/monthly_mean/tos/tos_200011.nc') @@ -41,7 +41,7 @@ #' latitude = 'latitude', longitude = 'longitude') #' sub_array <- NcDataReader(file_to_open, NULL, file_selectors, #' first_round_indices, synonims) -#' +#'@seealso [NcOpener()] [NcDimReader()] [NcCloser()] [NcVarReader()] #'@import easyNCDF #'@export NcDataReader <- function(file_path = NULL, file_object = NULL, diff --git a/R/NcDimReader.R b/R/NcDimReader.R index c1576f0..e3f090a 100644 --- a/R/NcDimReader.R +++ b/R/NcDimReader.R @@ -3,7 +3,7 @@ #'A dimension reader function for NetCDF files, intended for use as parameter #''file_dim_reader' in a Start() call. It complies with the input/output #'interface required by Start() defined in the documentation for the parameter -#''file_dim_reader' of that function./cr +#''file_dim_reader' of that function.\cr\cr #'This function uses the function NcReadDims() in the package 'easyNCDF'. #' #'@param file_path A character string indicating the path to the data file to @@ -38,7 +38,7 @@ #' latitude = 'latitude', longitude = 'longitude') #' dim_of_file <- NcDimReader(file_to_open, NULL, file_selectors, #' first_round_indices, synonims) -#' +#'@seealso [NcOpener()] [NcCloser()] [NcDataReader()] [NcVarReader()] #'@import easyNCDF #'@export NcDimReader <- function(file_path = NULL, file_object = NULL, diff --git a/R/NcOpener.R b/R/NcOpener.R index 731b254..b9cceb2 100644 --- a/R/NcOpener.R +++ b/R/NcOpener.R @@ -1,9 +1,9 @@ #'NetCDF file opener for 'startR' #' #'This is a file opener function for NetCDF files, intended for use as parameter -#'file_opener in a Start() call. This function complies with the input/output +#''file_opener' in a Start() call. This function complies with the input/output #'interface required by Start() defined in the documentation for the parameter -#''file_opener'.\cr +#''file_opener'.\cr\cr #'This function uses the function NcOpen() in the package 'easyNCDF', which in #'turn uses nc_open() in the package 'ncdf4'. #' @@ -18,7 +18,7 @@ #'path_obs <- file.path(data_path, 'obs/monthly_mean/tos/tos_200011.nc') #'connection <- NcOpener(path_obs) #'NcCloser(connection) -#' +#'@seealso [NcCloser()] [NcDimReader()] [NcDataReader()] [NcVarReader()] #'@import easyNCDF #'@export NcOpener <- function(file_path) { diff --git a/R/NcVarReader.R b/R/NcVarReader.R index b140d80..3cc8410 100644 --- a/R/NcVarReader.R +++ b/R/NcVarReader.R @@ -3,7 +3,7 @@ #'This is an auxiliary variable reader function for NetCDF files, intended for #'use as parameter 'file_var_reader' in a Start() call. It complies with the #'input/output interface required by Start() defined in the documentation for -#'the parameter 'file_var_reader' of that function.\cr +#'the parameter 'file_var_reader' of that function.\cr\cr #'This function uses the function NcDataReader() in the package 'startR', #'which in turn uses NcToArray() in the package 'easyNCDF', which in turn uses #'nc_var_get() in the package 'ncdf4'. diff --git a/R/SelectorChecker.R b/R/SelectorChecker.R index a5c8a60..81ec488 100644 --- a/R/SelectorChecker.R +++ b/R/SelectorChecker.R @@ -1,9 +1,9 @@ #'Translate a set of selectors into a set of numeric indices #' #'This is a selector checker function intended for use as parameter -#''selector_checker' in a Start() call. It translates a set of selectors which is -#'the value for one dimension into a set of numeric indices corresponding to the -#'coordinate variable. The function complies with the input/output interface +#''selector_checker' in a Start() call. It translates a set of selectors which +#'is the value for one dimension into a set of numeric indices corresponding to +#'the coordinate variable. The function complies with the input/output interface #'required by Start() defined in the documentation for the parameter #''selector_checker' of Start(). #' @@ -22,8 +22,8 @@ #' after the matching. The default value is TRUE. #'@param tolerance A numeric value indicating a tolerance value to be used in #' the matching of 'selectors' and 'var'. See documentation on -#' _tolerance in \dots in the documentation of the function Start(). -#' The default value is NULL. +#' '_tolerance' in \code{\dots} in the documentation of the function +#' Start(). The default value is NULL. #' #'@return A vector of either the indices of the matching values (if #' return_indices = TRUE) or the matching values themselves (if return_indices diff --git a/R/Sort.R b/R/Sort.R index d023b0f..4bcaa2c 100644 --- a/R/Sort.R +++ b/R/Sort.R @@ -1,21 +1,21 @@ -#'Sort the coordinate variable values in a call to the function startR::Start +#'Sort the coordinate variable values in a Start() call #' -#'The reorder function intended for use as parameter \code{_reorder} -#'in a call to the function \code{Start()}. This function complies with the -#'input/output interface required by \code{Start()} defined in the documentation -#'for the parameter \dots of that function.\cr -#'The coordinate applied to \code{Sort()} consists of an increasing or decreasing -#'sort of the values. It is useful for adjusting the latitude order.\cr -#'The coordinate applied to \code{CircularSort()} consists of a circular sort of +#'The reorder function intended for use as parameter '_reorder' +#'in a call to the function Start(). This function complies with the +#'input/output interface required by Start() defined in the documentation +#'for the parameter \code{\dots} of that function.\cr\cr +#'The coordinate applied to Sort() consists of an increasing or decreasing +#'sort of the values. It is useful for adjusting the latitude order.\cr\cr +#'The coordinate applied to CircularSort() consists of a circular sort of #'values, where any values beyond the limits specified in the parameters -#'\code{start} and \code{end} is applied a modulus to fall in the specified +#''start' and 'end' is applied a modulus to fall in the specified #'range. This is useful for circular coordinates such as the Earth longitudes. #'@name Sort #'@aliases CircularSort #'@param start A numeric indicating the lower bound of the circular range. #'@param end A numeric indicating the upper bound of the circular range. -#'@param \dots Additional parameters to adjust the reorderig (sent internally -#' to the function \code{sort()}). +#'@param \dots Additional parameters to adjust the reorderig. See function +#' sort() for more details. #' #'@return #'A list of 2 containing: diff --git a/R/Start.R b/R/Start.R index 987741e..9bd03ae 100644 --- a/R/Start.R +++ b/R/Start.R @@ -1,25 +1,24 @@ #'Declare, discover, subset and retrieve multidimensional distributed data sets #' -#'See the \href{https://earth.bsc.es/gitlab/es/startR}{\code{startR} -#'documentation and tutorial} for a step-by-step explanation on how to use -#'\code{Start()}.\cr\cr +#'See the \href{https://earth.bsc.es/gitlab/es/startR}{startR documentation and +#'tutorial} for a step-by-step explanation on how to use Start().\cr\cr #'Nowadays in the era of big data, large multidimensional data sets from #'diverse sources need to be combined and processed. Analysis of big data in any #'field is often highly complex and time-consuming. Taking subsets of these data #'sets and processing them efficiently become an indispensable practice. This #'technique is also known as Domain Decomposition, Map Reduce or, more commonly, #''chunking'.\cr\cr -#'\code{startR} (Subset, TrAnsform, ReTrieve, arrange and process large +#'startR (Subset, TrAnsform, ReTrieve, arrange and process large #'multidimensional data sets in R) is an R project started at BSC with the aim #'to develop a tool that allows the user to automatically process large #'multidimensional distributed data sets. It is an open source project that is #'open to external collaboration and funding, and will continuously evolve to #'support as many data set formats as possible while maximizing its efficiency.\cr\cr -#'\code{startR} provides a framework under which a data set (collection of one +#'startR provides a framework under which a data set (collection of one #'or multiple data files, potentially distributed over various remote servers) #'are perceived as if they all were part of a single large multidimensional #'array. Once such multidimensional array is declared, any user-defined function -#'can be applied to the data in a \code{apply}-like fashion, where \code{startR} +#'can be applied to the data in a \code{apply}-like fashion, where startR #'transparently implements the Map Reduce paradigm. The steps to follow in order #'to process a collection of big data sets are as follows:\cr #'\itemize{ @@ -27,7 +26,7 @@ #'Declaring the data set, i.e. declaring the distribution of the data files #'involved, the dimensions and shape of the multidimensional array, and the #'boundaries of the target data. This step can be performed with the -#'\code{Start()} function. Numeric indices or coordinate values can be used when +#'Start() function. Numeric indices or coordinate values can be used when #'fixing the boundaries. It is common having the need to apply transformations, #'pre-processing or reordering to the data. Start() accepts user-defined #'transformation or reordering functions to be applied for such purposes. Once a @@ -37,8 +36,7 @@ #' } #' \item{ #'Declaring the workflow of operations to perform on the involved data set(s). -#'This step can be performed with the \code{Step()} and \code{AddStep()} -#'functions. +#'This step can be performed with the Step() and AddStep() functions. #' } #' \item{ #'Defining the computation settings. The mandatory settings include a) how many @@ -48,25 +46,25 @@ #'connection? shared or separate file systems?), which queuing system it uses #'(slurm, PBS, LSF, none?); and c) how many parallel jobs and execution threads #'per job to use when running the calculations. This step can be performed when -#'building up the call to the \code{Compute()} function. +#'building up the call to the Compute() function. #' } #' \item{ #'Running the computation. startR transparently implements the Map Reduce #'paradigm, according to the settings in the previous steps. The progress can #'optionally be monitored with the EC-Flow workflow management tool. When the #'computation ends, a report of performance timings is displayed. This step can -#'be triggered with the \code{Compute()} function. +#'be triggered with the Compute() function. #' } #'} -#'\code{startR} is not bound to a specific file format. Interface functions to -#'custom file formats can be provided for \code{Start()} to read them. As this -#'version, \code{startR} includes interface functions to the following file formats: +#'startR is not bound to a specific file format. Interface functions to +#'custom file formats can be provided for Start() to read them. As this +#'version, startR includes interface functions to the following file formats: #'\itemize{ #' \item{ #'NetCDF #' } #'} -#'Metadata and auxilliary data is also preserved and arranged by \code{Start()} +#'Metadata and auxilliary data is also preserved and arranged by Start() #'in the measure that it is retrieved by the interface functions for a specific #'file format. #' @@ -76,7 +74,7 @@ #'array. For instance, let us consider an example case. We want to retrieve data #'from a source, which contains data for the number of monthly sales of various #'items, and also for their retail price each month. The data on source is -#'stored as follows:\cr +#'stored as follows:\cr\cr #'\command{ #'\cr # /data/ #'\cr # |-> sales/ @@ -123,7 +121,7 @@ #'dimensions are 'source', 'variable', 'section' and 'item', whereas the inner #'dimensions are 'store' and 'month'. #'\cr\cr -#'Having the dimensions of our target sources in mind, the parameter \dots +#'Having the dimensions of our target sources in mind, the parameter \code{\dots} #'expects to receive information on: #' \itemize{ #' \item{ @@ -141,8 +139,8 @@ #' } #' } #'For each dimension, the 3 first information items can be specified with a set -#'of parameters to be provided through \dots. For a given dimension 'dimname', -#'six parameters can be specified:\cr +#'of parameters to be provided through \code{\dots}. For a given dimension +#''dimname', six parameters can be specified:\cr #'\command{ #'\cr # dimname = , # 'all' / 'first' / 'last' / #'\cr # # indices(c(1, 10, 20)) / @@ -162,7 +160,7 @@ #'character tags, such as 'all' (take all the indices available for that #'dimension), 'first' (take only the first) and 'last' (only the last). The #'second format consists in using numeric indices, which have to be wrapped in a -#'call to the \code{indices()} helper function. For the second format, either a +#'call to the indices() helper function. For the second format, either a #'vector of numeric indices can be provided, or a list with two numeric indices #'can be provided to take all the indices in the range between the two specified #'indices (both extremes inclusive). The third format consists in providing a @@ -171,17 +169,17 @@ #'strings in the third format will be used as components to build up the final #'path to the files (read further). For inner dimensions, the provided values in #'the third format will be compared to the values of an associated coordinate -#'variable (must be specified in \code{dimname_reorder}, read further), and the +#'variable (must be specified in '_reorder', read further), and the #'indices of the closest values will be retrieved. When using the third format, #'a list with two values can also be provided to take all the indices of the #'values within the specified range. #'\cr\cr #'The \bold{name of the associated coordinate variable} must be a character #'string with the name of an associated coordinate variable to be found in the -#'data files (in all* of them). For this to work, a \code{file_var_reader} -#'function must be specified when calling \code{Start()} (see parameter +#'data files (in all* of them). For this to work, a 'file_var_reader' +#'function must be specified when calling Start() (see parameter #''file_var_reader'). The coordinate variable must also be requested in the -#'parameter \code{return_vars} (see its section for details). This feature only +#'parameter 'return_vars' (see its section for details). This feature only #'works for inner dimensions. #'\cr\cr #'The \bold{tolerance value} is useful when indices for an inner dimension are @@ -196,32 +194,33 @@ #'specified in the third fromat, and the retrieved indices need to be reordered #'in function of their provided associated variable values. A function can be #'provided, which receives as input a vector of values, and returns as outputs a -#'list with the components \code{x} with the reordered values, and \code{ix} +#'list with the components \code{$x} with the reordered values, and \code{$ix} #'with the permutation indices. Two reordering functions are included in -#'\code{startR}, the \code{Sort()} and the \code{CircularSort()}. +#'startR, the Sort() and the CircularSort(). #'\cr\cr -#'The \bold{name of another dimension} to be specified in \code{dimname_depends}, +#'The \bold{name of another dimension} to be specified in _depends, #'only available for file dimensions, must be a character string with the name -#'of another requested \bold{file dimension} in \dots, and will make -#'\code{Start()} aware that the path components of a file dimension can vary in +#'of another requested \bold{file dimension} in \code{\dots}, and will make +#'Start() aware that the path components of a file dimension can vary in #'function of the path component of another file dimension. For instance, in the #'example above, specifying \code{item_depends = 'section'} will make -#'\code{Start()} aware that the item names vary in function of the section, i.e. +#'Start() aware that the item names vary in function of the section, i.e. #'section 'electronics' has items 'a', 'b' and 'c' but section 'clothing' has -#'items 'd', 'e', 'f'. Otherwise \code{Start()} would expect to find the same +#'items 'd', 'e', 'f'. Otherwise Start() would expect to find the same #'item names in all the sections. #'\cr\cr -#'The \bold{name of another dimension} to be specified in \code{dimname_across}, +#'The \bold{name of another dimension} to be specified in '_across', #'only available for inner dimensions, must be a character string with the name -#'of another requested \bold{inner dimension} in \dots, and will make -#'\code{Start()} aware that an inner dimension extends along multiple files. For +#'of another requested \bold{inner dimension} in \code{\dots}, and will make +#'Start() aware that an inner dimension extends along multiple files. For #'instance, let us imagine that in the example above, the records for each item #'are so large that it becomes necessary to split them in multiple files each #'one containing the registers for a different period of time, e.g. in 10 files #'with 100 months each ('item_a_period1.data', 'item_a_period2.data', and so on). -#'In that case, the data can be perceived as having an extra file dimension, the#''period' dimension. The inner dimension 'month' would extend across multiple +#'In that case, the data can be perceived as having an extra file dimension, the +#''period' dimension. The inner dimension 'month' would extend across multiple #'files, and providing the parameter \code{month = indices(1, 300)} would make -#'\code{Start()} crash because it would perceive we have made a request out of +#'Start() crash because it would perceive we have made a request out of #'bounds (each file contains 100 'month' indices, but we requested 1 to 300). #'This can be solved by specifying the parameter \code{month_across = period} (a #'long with the full specification of the dimension 'period'). @@ -237,11 +236,11 @@ #'or a URL to one of the files provided by a local or remote server. The regions #'of this path that vary across files (along the file dimensions) must be #'replaced by wildcards. The wildcards must match any of the defined file -#'dimensions in the call to \code{Start()} and must be delimited with heading +#'dimensions in the call to Start() and must be delimited with heading #'and trailing '$'. Shell globbing expressions can be used in the path pattern. #'See the next code snippet for an example of a path pattern. #'\cr\cr -#'All in all, the call to \code{Start()} to load the entire data set in the +#'All in all, the call to Start() to load the entire data set in the #'example of store item sales, would look as follows: #'\cr #'\command{ @@ -256,11 +255,11 @@ #'} #'\cr\cr #'Note that in this example it would still be pending to properly define the -#'parameters \code{file_opener}, \code{file_closer}, \code{file_dim_reader}, -#'\code{file_var_reader} and \code{file_data_reader} for the '.data' file format +#'parameters 'file_opener', 'file_closer', 'file_dim_reader', +#''file_var_reader' and 'file_data_reader' for the '.data' file format #'(see the corresponding sections). #'\cr\cr -#'The call to \code{Start()} will return a multidimensional R array with the +#'The call to Start() will return a multidimensional R array with the #'following dimensions: #'\cr #'\command{ @@ -268,9 +267,9 @@ #'\cr # 1 2 2 3 100 24 #'} #'\cr -#'The dimension specifications in the \dots do not have to follow any particular -#'order. The returned array will have the dimensions in the same order as they -#'have been specified in the call. For example, the following call: +#'The dimension specifications in the \code{\dots} do not have to follow any +#'particular order. The returned array will have the dimensions in the same order +#'as they have been specified in the call. For example, the following call: #'\cr #'\command{ #'\cr # data <- Start(source = paste0('/data/$variable$/', @@ -311,7 +310,7 @@ #'\cr\cr #'The defined names for the dimensions do not necessarily have to match the #'names of the dimensions inside the file. Lists of alternative names to be -#'seeked can be defined in the parameter \code{synonims}. +#'seeked can be defined in the parameter 'synonims'. #'\cr\cr #'If data from multiple sources (not necessarily following the same structure) #'has to be retrieved, it can be done by providing a vector of character strings @@ -342,18 +341,18 @@ #'@param return_vars A named list where the names are the names of the #'variables to be fetched in the files, and the values are vectors of #'character strings with the names of the file dimension which to retrieve each -#'variable for, or \code{NULL} if the variable has to be retrieved only once +#'variable for, or NULL if the variable has to be retrieved only once #'from any (the first) of the involved files.\cr\cr #'Apart from retrieving a multidimensional data array, retrieving auxiliary #'variables inside the files can also be needed. The parameter -#'\code{return_vars} allows for requesting such variables, as long as a -#'\code{file_var_reader} function is also specified in the call to -#'\code{Start()} (see documentation on the corresponding parameter). +#''return_vars' allows for requesting such variables, as long as a +#''file_var_reader' function is also specified in the call to +#'Start() (see documentation on the corresponding parameter). #'\cr\cr #'In the case of the the item sales example (see documentation on parameter #'\code{\dots)}, the store location variable is requested with the parameter #'\code{return_vars = list(store_location = NULL)}. This will cause -#'\code{Start()} to fetch once the variable 'store_location' and return it in +#'Start() to fetch once the variable 'store_location' and return it in #'the component \code{$Variables$common$store_location}, and will be an array #'of character strings with the location names, with the dimensions #'\code{c('store' = 100)}. Although useless in this example, we could ask @@ -403,17 +402,17 @@ #'\cr\cr #'The names of the requested variables do not necessarily have to match the #'actual variable names inside the files. A list of alternative names to be -#'seeked can be specified via the parameter \code{synonims}. +#'seeked can be specified via the parameter 'synonims'. #' #'@param synonims A named list where the names are the requested variable or #'dimension names, and the values are vectors of character strings with #'alternative names to seek for such dimension or variable.\cr\cr #'In some requests, data from different sources may follow different naming #'conventions for the dimensions or variables, or even files in the same source -#'could have varying names. This parameter is in order for \code{Start()} to +#'could have varying names. This parameter is in order for Start() to #'properly identify the dimensions or variables with different names. #'\cr\cr -#'In the example used in parameter \code{return_vars}, it may be the case that +#'In the example used in parameter 'return_vars', it may be the case that #'the two involved data sources follow slightly different naming conventions. #'For example, source A uses 'sect' as name for the sections dimension, whereas #'source B uses 'section'; source A uses 'store_loc' as variable name for the @@ -447,114 +446,114 @@ #'\cr #' #'@param file_opener A function that receives as a single parameter -#' (\code{file_path}) a character string with the path to a file to be opened, +#' 'file_path' a character string with the path to a file to be opened, #' and returns an object with an open connection to the file (optionally with -#' header information) on success, or returns \code{NULL} on failure. +#' header information) on success, or returns NULL on failure. #'\cr\cr -#'This parameter takes by default \code{NcOpener} (an opener function for NetCDF +#'This parameter takes by default NcOpener() (an opener function for NetCDF #'files). #'\cr\cr -#'See \code{NcOpener} for a template to build a file opener for your own file +#'See NcOpener() for a template to build a file opener for your own file #'format. #' #'@param file_var_reader A function with the header \code{file_path = NULL}, #' \code{file_object = NULL}, \code{file_selectors = NULL}, \code{var_name}, #' \code{synonims} that returns an array with auxiliary data (i.e. data from a -#' variable) inside a file. \code{Start()} will provide automatically either a -#' \code{file_path} or a \code{file_object} to the \code{file_var_reader} +#' variable) inside a file. Start() will provide automatically either a +#' 'file_path' or a 'file_object' to the 'file_var_reader' #' function (the function has to be ready to work whichever of these two is -#' provided). The parameter \code{file_selectors} will also be provided +#' provided). The parameter 'file_selectors' will also be provided #' automatically to the variable reader, containing a named list where the #' names are the names of the file dimensions of the queried data set (see -#' documentation on \dots) and the values are single character strings with the -#' components used to build the path to the file being read (the one provided -#' in \code{file_path} or \code{file_object}). The parameter \code{var_name} -#' will be filled in automatically by \code{Start()} also, with the name of one -#' of the variales to be read. The parameter \code{synonims} will be filled in -#' with exactly the same value as provided in the parameter \code{synonims} in -#' the call to \code{Start()}, and has to be used in the code of the variable +#' documentation on \code{\dots}) and the values are single character strings +#' with the components used to build the path to the file being read (the one +#' provided in 'file_path' or 'file_object'). The parameter 'var_name' +#' will be filled in automatically by Start() also, with the name of one +#' of the variales to be read. The parameter 'synonims' will be filled in +#' with exactly the same value as provided in the parameter 'synonims' in +#' the call to Start(), and has to be used in the code of the variable #' reader to check for alternative variable names inside the target file. The -#' \code{file_var_reader} must return a (multi)dimensional array with named +#' 'file_var_reader' must return a (multi)dimensional array with named #' dimensions, and optionally with the attribute 'variales' with other #' additional metadata on the retrieved variable. #'\cr\cr -#'Usually, the \code{file_var_reader} should be a degenerate case of the -#'\code{file_data_reader} (see documentation on the corresponding parameter), -#'so it is recommended to code the \code{file_data_reder} in first place. +#'Usually, the 'file_var_reader' should be a degenerate case of the +#''file_data_reader' (see documentation on the corresponding parameter), +#'so it is recommended to code the 'file_data_reder' in first place. #'\cr\cr -#'This parameter takes by default \code{NcVarReader} (a variable reader function +#'This parameter takes by default NcVarReader() (a variable reader function #'for NetCDF files). #'\cr\cr -#'See \code{NcVarReader} for a template to build a variale reader for your own +#'See NcVarReader() for a template to build a variale reader for your own #'file format. #' #'@param file_dim_reader A function with the header \code{file_path = NULL}, #' \code{file_object = NULL}, \code{file_selectors = NULL}, \code{synonims} #' that returns a named numeric vector where the names are the names of the #' dimensions of the multidimensional data array in the file and the values are -#' the sizes of such dimensions. \code{Start()} will provide automatically -#' either a \code{file_path} or a \code{file_object} to the -#' \code{file_dim_reader} function (the function has to be ready to work -#' whichever of these two is provided). The parameter \code{file_selectors} +#' the sizes of such dimensions. Start() will provide automatically +#' either a 'file_path' or a 'file_object' to the +#' 'file_dim_reader' function (the function has to be ready to work +#' whichever of these two is provided). The parameter 'file_selectors' #' will also be provided automatically to the dimension reader, containing a #' named list where the names are the names of the file dimensions of the -#' queried data set (see documentation on \dots) and the values are single -#' character strings with the components used to build the path to the file -#' being read (the one provided in \code{file_path} or \code{file_object}). -#' The parameter \code{synonims} will be filled in with exactly the same value -#' as provided in the parameter \code{synonims} in the call to \code{Start()}, +#' queried data set (see documentation on \code{\dots}) and the values are +#' single character strings with the components used to build the path to the +#' file being read (the one provided in 'file_path' or 'file_object'). +#' The parameter 'synonims' will be filled in with exactly the same value +#' as provided in the parameter 'synonims' in the call to Start(), #' and can optionally be used in advanced configurations. #'\cr\cr -#'This parameter takes by default \code{NcDimReader} (a dimension reader +#'This parameter takes by default NcDimReader() (a dimension reader #'function for NetCDF files). #'\cr\cr -#'See \code{NcDimReader} for (an advanced) template to build a dimension reader +#'See NcDimReader() for (an advanced) template to build a dimension reader #'for your own file format. #' #'@param file_data_reader A function with the header \code{file_path = NULL}, #' \code{file_object = NULL}, \code{file_selectors = NULL}, #' \code{inner_indices = NULL}, \code{synonims} that returns a subset of the #' multidimensional data array inside a file (even if internally it is not an -#' array). \code{Start()} will provide automatically either a \code{file_path} -#' or a \code{file_object} to the \code{file_data_reader} function (the +#' array). Start() will provide automatically either a 'file_path' +#' or a 'file_object' to the 'file_data_reader' function (the #' function has to be ready to work whichever of these two is provided). The -#' parameter \code{file_selectors} will also be provided automatically to the +#' parameter 'file_selectors' will also be provided automatically to the #' data reader, containing a named list where the names are the names of the -#' file dimensions of the queried data set (see documentation on \dots) and the -#' values are single character strings with the components used to build the -#' path to the file being read (the one provided in \code{file_path} or -#' \code{file_object}). The parameter \code{inner_indices} will be filled in -#' automatically by \code{Start()} also, with a named list of numeric vectors, +#' file dimensions of the queried data set (see documentation on \code{\dots}) +#' and the values are single character strings with the components used to +#' build the path to the file being read (the one provided in 'file_path' or +#' 'file_object'). The parameter 'inner_indices' will be filled in +#' automatically by Start() also, with a named list of numeric vectors, #' where the names are the names of all the expected inner dimensions in a file #' to be read, and the numeric vectors are the indices to be taken from the #' corresponding dimension (the indices may not be consecutive nor in order). -#' The parameter \code{synonims} will be filled in with exactly the same value -#' as provided in the parameter \code{synonims} in the call to \code{Start()}, +#' The parameter 'synonims' will be filled in with exactly the same value +#' as provided in the parameter 'synonims' in the call to Start(), #' and has to be used in the code of the data reader to check for alternative -#' dimension names inside the target file. The \code{file_data_reader} must +#' dimension names inside the target file. The 'file_data_reader' must #' return a (multi)dimensional array with named dimensions, and optionally with -#' the attribute 'variales' with other additional metadata on the retrieved +#' the attribute 'variables' with other additional metadata on the retrieved #' data. #'\cr\cr -#'Usually, the \code{file_data_reader} should use the \code{file_dim_reader} +#'Usually, 'file_data_reader' should use 'file_dim_reader' #'(see documentation on the corresponding parameter), so it is recommended to -#'code the \code{file_dim_reder} in first place. +#'code 'file_dim_reder' in first place. #'\cr\cr -#'This parameter takes by default \code{NcDataReader} (a data reader function +#'This parameter takes by default NcDataReader() (a data reader function #'for NetCDF files). #'\cr\cr -#'See \code{NcDataReader} for a template to build a data reader for your own +#'See NcDataReader() for a template to build a data reader for your own #'file format. #' #'@param file_closer A function that receives as a single parameter -#' (\code{file_object}) an open connection (as returned by \code{file_opener}) +#' 'file_object' an open connection (as returned by 'file_opener') #' to one of the files to be read, optionally with header information, and -#' closes the open connection. Always returns \code{NULL}. +#' closes the open connection. Always returns NULL. #'\cr\cr -#'This parameter takes by default \code{NcCloser} (a closer function for NetCDF +#'This parameter takes by default NcCloser() (a closer function for NetCDF #'files). #'\cr\cr -#'See \code{NcCloser} for a template to build a file closer for your own file +#'See NcCloser() for a template to build a file closer for your own file #'format. #' #'@param transform A function with the header \code{dara_array}, @@ -563,67 +562,67 @@ #' multidimensional array (as returned by \code{file_data_reader}), applies a #' transformation to it and returns it, preserving the amount of dimensions but #' potentially modifying their size. This transformation may require data from -#' other auxiliary variables, automatically provided to \code{transform} -#' through the parameter \code{variables}, in the form of a named list where +#' other auxiliary variables, automatically provided to 'transform' +#' through the parameter 'variables', in the form of a named list where #' the names are the variable names and the values are (multi)dimensional -#' arrays. Which variables need to be sent to \code{transform} can be specified -#' with the parameter \code{transform_vars} in \code{Start()}. The parameter -#' \code{file_selectors} will also be provided automatically to -#' \code{transform}, containing a named list where the names are the names of -#' the file dimensions of the queried data set (see documentation on \dots) and -#' the values are single character strings with the components used to build -#' the path to the file the subset being processed belongs to. The parameter -#' \dots will be filled in with other additional parameters to adjust the -#' transformation, exactly as provided in the call to \code{Start()} via the -#' parameter \code{transform_params}. +#' arrays. Which variables need to be sent to 'transform' can be specified +#' with the parameter 'transform_vars' in Start(). The parameter +#' 'file_selectors' will also be provided automatically to +#' 'transform', containing a named list where the names are the names of +#' the file dimensions of the queried data set (see documentation on +#' \code{\dots}) and the values are single character strings with the +#' components used to build the path to the file the subset being processed +#' belongs to. The parameter \code{\dots} will be filled in with other +#' additional parameters to adjust the transformation, exactly as provided in +#' the call to Start() via the parameter 'transform_params'. #'@param transform_params A named list with additional parameters to be sent to -#' the \code{transform} function (if specified). See documentation on -#' \code{transform} for details. +#' the 'transform' function (if specified). See documentation on parameter +#' 'transform' for details. #'@param transform_vars A vector of character strings with the names of -#' auxiliary variables to be sent to the \code{transform} function (if -#' specified). All the variables to be sent to \code{transform} must also -#' have been requested as return variables in the parameter \code{return_vars} -#' of \code{Start()}. +#' auxiliary variables to be sent to the 'transform' function (if +#' specified). All the variables to be sent to 'transform' must also +#' have been requested as return variables in the parameter 'return_vars' +#' of Start(). #'@param transform_extra_cells An integer of extra indices to retrieve from the -#' data set, beyond the requested indices in \dots, in order for -#' \code{transform} to dispose of additional information to properly apply +#' data set, beyond the requested indices in \code{\dots}, in order for +#' 'transform' to dispose of additional information to properly apply #' whichever transformation (if needed). As many as -#' \code{transform_extra_cells} will be retrieved beyond each of the limits for +#' 'transform_extra_cells' will be retrieved beyond each of the limits for #' each of those inner dimensions associated to a coordinate variable and sent -#' to \code{transform} (i.e. present in \code{transform_vars}). After -#' \code{transform} has finished, \code{Start()} will take again and return a +#' to 'transform' (i.e. present in 'transform_vars'). After +#' 'transform' has finished, Start() will take again and return a #' subset of the result, for the returned data to fall within the specified -#' bounds in \dots. The default value is 2. +#' bounds in \code{\dots}. The default value is 2. #'@param apply_indices_after_transform A logical value indicating when a -#' \code{transform} is specified in \code{Start()} and numeric indices are +#' 'transform' is specified in Start() and numeric indices are #' provided for any of the inner dimensions that depend on coordinate variables, #' these numeric indices can be made effective (retrieved) before applying the #' transformation or after. The boolean flag allows to adjust this behaviour. -#' It takes \code{FALSE} by default (numeric indices are applied before sending -#' data to \code{transform}). +#' It takes FALSE by default (numeric indices are applied before sending +#' data to 'transform'). #'@param pattern_dims A character string indicating the name of the dimension -#' with path pattern specifications (see \dots for details). If not specified, -#' \code{Start()} assumes the first provided dimension is the pattern +#' with path pattern specifications (see \code{\dots} for details). If not +#' specified, Start() assumes the first provided dimension is the pattern #' dimension, with a warning. #'@param metadata_dims A vector of character strings with the names of the file -#' dimensions which to return metadata for. As noted in \code{file_data_reader}, +#' dimensions which to return metadata for. As noted in 'file_data_reader', #' the data reader can optionally return auxiliary data via the attribute -#' 'variables' of the returned array. \code{Start()} by default returns the +#' 'variables' of the returned array. Start() by default returns the #' auxiliary data read for only the first file of each source (or data set) in -#' the pattern dimension (see \dots for info on what the pattern dimension is). -#' However it can be configured to return the metadata for all the files along -#' any set of file dimensions. The parameter \code{metadata_dims} allows to -#' configure this level of granularity of the returned metadata. -#'@param selector_checker A function used internaly by \code{Start()} to +#' the pattern dimension (see \code{\dots} for info on what the pattern +#' dimension is). However it can be configured to return the metadata for all +#' the files along any set of file dimensions. The parameter 'metadata_dims' +#' allows to configure this level of granularity of the returned metadata. +#'@param selector_checker A function used internaly by Start() to #' translate a set of selectors (values for a dimension associated to a #' coordinate variable) into a set of numeric indices. It takes by default -#' \code{SelectorChecker} and, in principle, it should not be required to +#' SelectorChecker() and, in principle, it should not be required to #' change it for customized file formats. The option to replace it is left open -#' for more versatility. See the code of \code{SelectorChecker} for details on +#' for more versatility. See the code of SelectorChecker() for details on #' the inputs, functioning and outputs of a selector checker. #'@param merge_across_dims A logical value indicating whether to merge #' dimensions across which another dimension extends (according to the -#' \code{*_across} parameters). Takes the value \code{FALSE} by default. For +#' '_across' parameters). Takes the value FALSE by default. For #' example, if the dimension 'time' extends across the dimension 'chunk' and #' \code{merge_across_dims = TRUE}, the resulting data array will only contain #' only the dimension 'time' as long as all the chunks together. @@ -641,8 +640,7 @@ #'@param path_glob_permissive A logical value or an integer specifying how many #' folder levels in the path pattern, beginning from the end, the shell glob #' expressions must be preserved and worked out for each file. The default -#' value is \code{FALSE}, which is equivalent to \code{0}. \code{TRUE} is -#' equivalent to \code{1}.\cr\cr +#' value is FALSE, which is equivalent to 0. TRUE is equivalent to 1.\cr\cr #'When specifying a path pattern for a dataset, it might contain shell glob #'experissions. For each dataset, the first file matching the path pattern is #'found, and the found file is used to work out fixed values for the glob @@ -650,39 +648,39 @@ #'some cases the values of the shell glob expressions may not be constant for #'all files in a dataset, and they need to be worked out for each file #'involved.\cr\cr -#'For example, a path pattern could be as follows: -#'\code{'/path/to/dataset/$var$_*/$date$_*_foo.nc'}. Leaving +#'For example, a path pattern could be as follows: \cr +#'\code{'/path/to/dataset/$var$_*/$date$_*_foo.nc'}. \cr Leaving #'\code{path_glob_permissive = FALSE} will trigger automatic seek of the #' contents to replace the asterisks (e.g. the first asterisk matches with #' \code{'bar'} and the second with \code{'baz'}. The found contents will be #' used for all files in the dataset (in the example, the path pattern will be -#' fixed to \code{'/path/to/dataset/$var$_bar/$date$_baz_foo.nc'}. However, if +#' fixed to\cr \code{'/path/to/dataset/$var$_bar/$date$_baz_foo.nc'}. However, if #' any of the files in the dataset have other contents in the position of the -#' asterisks, \code{Start()} will not find them (in the example, a file like +#' asterisks, Start() will not find them (in the example, a file like \cr #' \code{'/path/to/dataset/precipitation_bar/19901101_bin_foo.nc'} would not be #' found). Setting \code{path_glob_permissive = 1} would preserve global #' expressions in the latest level (in the example, the fixed path pattern -#' would be \code{'/path/to/dataset/$var$_bar/$date$_*_foo.nc'}, and the +#' would be\cr \code{'/path/to/dataset/$var$_bar/$date$_*_foo.nc'}, and the #' problematic file mentioned before would be found), but of course this would -#' slow down the \code{Start()} call if the dataset involves a large number of +#' slow down the Start() call if the dataset involves a large number of #' files. Setting \code{path_glob_permissive = 2} would leave the original path #' pattern with the original glob expressions in the 1st and 2nd levels (in the -#' example, both asterisks would be preserved, thus would allow \code{Start()} -#' to recognize files such as +#' example, both asterisks would be preserved, thus would allow Start() +#' to recognize files such as \cr #' \code{'/path/to/dataset/precipitation_zzz/19901101_yyy_foo.nc'}). #'@param retrieve A logical value indicating whether to retrieve the data -#' defined in the \code{Start} call or to explore only its dimension lengths +#' defined in the Start() call or to explore only its dimension lengths #' and names, and the values for the file and inner dimensions. The default #' value is FALSE. #'@param num_procs An integer of number of processes to be created for the -#' parallel execution of the retrieval / transformation / arrangement of the -#' multiple involved files in a call to \code{Start()}. If set to \code{NULL}, -#' takes the number of available cores (as detected by \code{detectCores()} in +#' parallel execution of the retrieval/transformation/arrangement of the +#' multiple involved files in a call to Start(). If set to NULL, +#' takes the number of available cores (as detected by detectCores() in #' the package 'future'). The default value is 1 (no parallel execution). #'@param silent A logical value of whether to display progress messages (FALSE) #' or not (TRUE). The default value is FALSE. #'@param debug A logical value of whether to return detailed messages on the -#' progress and operations in a \code{Start} call (TRUE) or not (FALSE). The +#' progress and operations in a Start() call (TRUE) or not (FALSE). The #' default value is FALSE. #' #'@return If \code{retrieve = TRUE} the involved data is loaded into RAM memory @@ -690,12 +688,12 @@ #' returned:\cr #' \item{Data}{ #' Multidimensional data array with named dimensions, with the data values -#' requested via \dots and other parameters. This array can potentially contain -#' metadata in the attribute 'variables'. +#' requested via \code{\dots} and other parameters. This array can potentially +#' contain metadata in the attribute 'variables'. #' } #' \item{Variables}{ #' Named list of 1 + N components, containing lists of retrieved variables (as -#' requested in \code{return_vars}) common to all the data sources (in the 1st +#' requested in 'return_vars') common to all the data sources (in the 1st #' component, \code{$common}), and for each of the N dara sources (named after #' the source name, as specified in \dots, or, if not specified, \code{$dat1}, #' \code{$dat2}, ..., \code{$datN}). Each of the variables are contained in a @@ -704,12 +702,12 @@ #' } #' \item{Files}{ #' Multidimensonal character string array with named dimensions. Its dimensions -#' are the file dimensions (as requested in \dots). Each cell in this array -#' contains a path to a retrieved file, or \code{NULL} if the corresponding +#' are the file dimensions (as requested in \code{\dots}). Each cell in this +#' array contains a path to a retrieved file, or NULL if the corresponding #' file was not found. #' } #' \item{NotFoundFiles}{ -#' Array with the same shape as \code{$Files} but with \code{NULL} in the +#' Array with the same shape as \code{$Files} but with NULL in the #' positions for which the corresponding file was found, and a path to the #' expected file in the positions for which the corresponding file was not #' found. @@ -725,11 +723,11 @@ #' returned:\cr #' \item{Dimensions}{ #' Named vector with the dimension lengths and names of the data involved in -#' the \code{Start} call. +#' the Start() call. #' } -#' \item{Variales}{ +#' \item{Variables}{ #' Named list of 1 + N components, containing lists of retrieved variables (as -#' requested in \code{return_vars}) common to all the data sources (in the 1st +#' requested in 'return_vars') common to all the data sources (in the 1st #' component, \code{$common}), and for each of the N dara sources (named after #' the source name, as specified in \dots, or, if not specified, \code{$dat1}, #' \code{$dat2}, ..., \code{$datN}). Each of the variables are contained in a @@ -748,9 +746,9 @@ #' sources. #' } #' \item{StartRCall}{ -#' List of parameters sent to the \code{Start} call, with the parameter -#' \code{retrieve} set to \code{TRUE}. Intended for calling in order to -#' retrieve the associated data a posteriori with a call to \code{do.call}. +#' List of parameters sent to the Start() call, with the parameter +#' 'retrieve' set to TRUE. Intended for calling in order to +#' retrieve the associated data a posteriori with a call to do.call(). #' } #' #'@examples diff --git a/R/Step.R b/R/Step.R index 829ddee..1dd6829 100644 --- a/R/Step.R +++ b/R/Step.R @@ -5,7 +5,7 @@ #'dimensions of data array for the function. Ideally, it expects the dimension #'name to be in the same order as the one requested in the Start() call. #'If a different order is specified, startR will reorder the subset dimension -#'to the expected order for this function./cr +#'to the expected order for this function. #' #'@param fun A function in R format defining the operation to be applied to the #' data declared by a Start() call. It should only work on the essential diff --git a/man/NcCloser.Rd b/man/NcCloser.Rd index fbff623..fb4831e 100644 --- a/man/NcCloser.Rd +++ b/man/NcCloser.Rd @@ -27,9 +27,10 @@ data_path <- system.file('extdata', package = 'startR') path_obs <- file.path(data_path, 'obs/monthly_mean/tos/tos_200011.nc') connection <- NcOpener(path_obs) NcCloser(connection) - } \seealso{ \code{\link[easyNCDF]{NcClose}} + +[NcOpener()] [NcDimReader()] [NcDataReader()] [NcVarReader()] } diff --git a/man/NcDataReader.Rd b/man/NcDataReader.Rd index dc167c1..96e7391 100644 --- a/man/NcDataReader.Rd +++ b/man/NcDataReader.Rd @@ -35,15 +35,15 @@ parameter 'file_data_reader' of the function Start().} } \value{ A multidimensional data array with the named dimensions and indices - requested in inner_indices, potentially with the attribute 'variables' with - additional auxiliary data. See details in the documentation of the parameter - 'file_data_reader' of the function Start(). + requested in 'inner_indices', potentially with the attribute 'variables' + with additional auxiliary data. See details in the documentation of the + parameter 'file_data_reader' of the function Start(). } \description{ This is a data reader function for NetCDF files, intended for use as parameter file_data_reader in a Start() call. This function complies with the input/output interface required by Start() defined in the documentation for -the parameter 'file_data_reader'.\cr +the parameter 'file_data_reader'.\cr\cr This function uses the function NcToArray() in the package 'easyNCDF', which in turn uses nc_var_get() in the package 'ncdf4'. } @@ -56,6 +56,8 @@ in turn uses nc_var_get() in the package 'ncdf4'. latitude = 'latitude', longitude = 'longitude') sub_array <- NcDataReader(file_to_open, NULL, file_selectors, first_round_indices, synonims) - +} +\seealso{ +[NcOpener()] [NcDimReader()] [NcCloser()] [NcVarReader()] } diff --git a/man/NcDimReader.Rd b/man/NcDimReader.Rd index b695176..3260d6d 100644 --- a/man/NcDimReader.Rd +++ b/man/NcDimReader.Rd @@ -41,7 +41,7 @@ A named numeric vector with the names and sizes of the dimensions of A dimension reader function for NetCDF files, intended for use as parameter 'file_dim_reader' in a Start() call. It complies with the input/output interface required by Start() defined in the documentation for the parameter -'file_dim_reader' of that function./cr +'file_dim_reader' of that function.\cr\cr This function uses the function NcReadDims() in the package 'easyNCDF'. } \examples{ @@ -53,6 +53,8 @@ This function uses the function NcReadDims() in the package 'easyNCDF'. latitude = 'latitude', longitude = 'longitude') dim_of_file <- NcDimReader(file_to_open, NULL, file_selectors, first_round_indices, synonims) - +} +\seealso{ +[NcOpener()] [NcCloser()] [NcDataReader()] [NcVarReader()] } diff --git a/man/NcOpener.Rd b/man/NcOpener.Rd index 7dabf24..fb0239a 100644 --- a/man/NcOpener.Rd +++ b/man/NcOpener.Rd @@ -18,9 +18,9 @@ An open connection to a NetCDF file with additional header } \description{ This is a file opener function for NetCDF files, intended for use as parameter -file_opener in a Start() call. This function complies with the input/output +'file_opener' in a Start() call. This function complies with the input/output interface required by Start() defined in the documentation for the parameter -'file_opener'.\cr +'file_opener'.\cr\cr This function uses the function NcOpen() in the package 'easyNCDF', which in turn uses nc_open() in the package 'ncdf4'. } @@ -29,6 +29,8 @@ data_path <- system.file('extdata', package = 'startR') path_obs <- file.path(data_path, 'obs/monthly_mean/tos/tos_200011.nc') connection <- NcOpener(path_obs) NcCloser(connection) - +} +\seealso{ +[NcCloser()] [NcDimReader()] [NcDataReader()] [NcVarReader()] } diff --git a/man/NcVarReader.Rd b/man/NcVarReader.Rd index 71bc78a..c5a7ab8 100644 --- a/man/NcVarReader.Rd +++ b/man/NcVarReader.Rd @@ -40,7 +40,7 @@ A multidimensional data array with the named dimensions, potentially This is an auxiliary variable reader function for NetCDF files, intended for use as parameter 'file_var_reader' in a Start() call. It complies with the input/output interface required by Start() defined in the documentation for -the parameter 'file_var_reader' of that function.\cr +the parameter 'file_var_reader' of that function.\cr\cr This function uses the function NcDataReader() in the package 'startR', which in turn uses NcToArray() in the package 'easyNCDF', which in turn uses nc_var_get() in the package 'ncdf4'. diff --git a/man/SelectorChecker.Rd b/man/SelectorChecker.Rd index d02c650..ef83575 100644 --- a/man/SelectorChecker.Rd +++ b/man/SelectorChecker.Rd @@ -26,8 +26,8 @@ after the matching. The default value is TRUE.} \item{tolerance}{A numeric value indicating a tolerance value to be used in the matching of 'selectors' and 'var'. See documentation on -_tolerance in \dots in the documentation of the function Start(). -The default value is NULL.} +'_tolerance' in \code{\dots} in the documentation of the function +Start(). The default value is NULL.} } \value{ A vector of either the indices of the matching values (if @@ -36,9 +36,9 @@ A vector of either the indices of the matching values (if } \description{ This is a selector checker function intended for use as parameter -'selector_checker' in a Start() call. It translates a set of selectors which is -the value for one dimension into a set of numeric indices corresponding to the -coordinate variable. The function complies with the input/output interface +'selector_checker' in a Start() call. It translates a set of selectors which +is the value for one dimension into a set of numeric indices corresponding to +the coordinate variable. The function complies with the input/output interface required by Start() defined in the documentation for the parameter 'selector_checker' of Start(). } diff --git a/man/Sort.Rd b/man/Sort.Rd index aa878bf..2b8d6f6 100644 --- a/man/Sort.Rd +++ b/man/Sort.Rd @@ -3,7 +3,7 @@ \name{Sort} \alias{CircularSort} \alias{Sort} -\title{Sort the coordinate variable values in a call to the function startR::Start} +\title{Sort the coordinate variable values in a Start() call} \usage{ Sort(...) @@ -14,8 +14,8 @@ CircularSort(start, end, ...) \item{end}{A numeric indicating the upper bound of the circular range.} -\item{\dots}{Additional parameters to adjust the reorderig (sent internally -to the function \code{sort()}).} +\item{\dots}{Additional parameters to adjust the reorderig. See function +sort() for more details.} } \value{ A list of 2 containing: @@ -27,15 +27,15 @@ A list of 2 containing: } } \description{ -The reorder function intended for use as parameter \code{_reorder} -in a call to the function \code{Start()}. This function complies with the -input/output interface required by \code{Start()} defined in the documentation -for the parameter \dots of that function.\cr -The coordinate applied to \code{Sort()} consists of an increasing or decreasing -sort of the values. It is useful for adjusting the latitude order.\cr -The coordinate applied to \code{CircularSort()} consists of a circular sort of +The reorder function intended for use as parameter '_reorder' +in a call to the function Start(). This function complies with the +input/output interface required by Start() defined in the documentation +for the parameter \code{\dots} of that function.\cr\cr +The coordinate applied to Sort() consists of an increasing or decreasing +sort of the values. It is useful for adjusting the latitude order.\cr\cr +The coordinate applied to CircularSort() consists of a circular sort of values, where any values beyond the limits specified in the parameters -\code{start} and \code{end} is applied a modulus to fall in the specified +'start' and 'end' is applied a modulus to fall in the specified range. This is useful for circular coordinates such as the Earth longitudes. } \examples{ diff --git a/man/Start.Rd b/man/Start.Rd index 86362c9..b8cdf35 100644 --- a/man/Start.Rd +++ b/man/Start.Rd @@ -19,18 +19,18 @@ Start(..., return_vars = NULL, synonims = NULL, file_opener = NcOpener, \item{return_vars}{A named list where the names are the names of the variables to be fetched in the files, and the values are vectors of character strings with the names of the file dimension which to retrieve each -variable for, or \code{NULL} if the variable has to be retrieved only once +variable for, or NULL if the variable has to be retrieved only once from any (the first) of the involved files.\cr\cr Apart from retrieving a multidimensional data array, retrieving auxiliary variables inside the files can also be needed. The parameter -\code{return_vars} allows for requesting such variables, as long as a -\code{file_var_reader} function is also specified in the call to -\code{Start()} (see documentation on the corresponding parameter). +'return_vars' allows for requesting such variables, as long as a +'file_var_reader' function is also specified in the call to +Start() (see documentation on the corresponding parameter). \cr\cr In the case of the the item sales example (see documentation on parameter \code{\dots)}, the store location variable is requested with the parameter \code{return_vars = list(store_location = NULL)}. This will cause -\code{Start()} to fetch once the variable 'store_location' and return it in +Start() to fetch once the variable 'store_location' and return it in the component \code{$Variables$common$store_location}, and will be an array of character strings with the location names, with the dimensions \code{c('store' = 100)}. Although useless in this example, we could ask @@ -80,17 +80,17 @@ For example: \cr\cr The names of the requested variables do not necessarily have to match the actual variable names inside the files. A list of alternative names to be -seeked can be specified via the parameter \code{synonims}.} +seeked can be specified via the parameter 'synonims'.} \item{synonims}{A named list where the names are the requested variable or dimension names, and the values are vectors of character strings with alternative names to seek for such dimension or variable.\cr\cr In some requests, data from different sources may follow different naming conventions for the dimensions or variables, or even files in the same source -could have varying names. This parameter is in order for \code{Start()} to +could have varying names. This parameter is in order for Start() to properly identify the dimensions or variables with different names. \cr\cr -In the example used in parameter \code{return_vars}, it may be the case that +In the example used in parameter 'return_vars', it may be the case that the two involved data sources follow slightly different naming conventions. For example, source A uses 'sect' as name for the sections dimension, whereas source B uses 'section'; source A uses 'store_loc' as variable name for the @@ -124,114 +124,114 @@ into account as follows: \cr} \item{file_opener}{A function that receives as a single parameter - (\code{file_path}) a character string with the path to a file to be opened, + 'file_path' a character string with the path to a file to be opened, and returns an object with an open connection to the file (optionally with - header information) on success, or returns \code{NULL} on failure. + header information) on success, or returns NULL on failure. \cr\cr -This parameter takes by default \code{NcOpener} (an opener function for NetCDF +This parameter takes by default NcOpener() (an opener function for NetCDF files). \cr\cr -See \code{NcOpener} for a template to build a file opener for your own file +See NcOpener() for a template to build a file opener for your own file format.} \item{file_var_reader}{A function with the header \code{file_path = NULL}, \code{file_object = NULL}, \code{file_selectors = NULL}, \code{var_name}, \code{synonims} that returns an array with auxiliary data (i.e. data from a - variable) inside a file. \code{Start()} will provide automatically either a - \code{file_path} or a \code{file_object} to the \code{file_var_reader} + variable) inside a file. Start() will provide automatically either a + 'file_path' or a 'file_object' to the 'file_var_reader' function (the function has to be ready to work whichever of these two is - provided). The parameter \code{file_selectors} will also be provided + provided). The parameter 'file_selectors' will also be provided automatically to the variable reader, containing a named list where the names are the names of the file dimensions of the queried data set (see - documentation on \dots) and the values are single character strings with the - components used to build the path to the file being read (the one provided - in \code{file_path} or \code{file_object}). The parameter \code{var_name} - will be filled in automatically by \code{Start()} also, with the name of one - of the variales to be read. The parameter \code{synonims} will be filled in - with exactly the same value as provided in the parameter \code{synonims} in - the call to \code{Start()}, and has to be used in the code of the variable + documentation on \code{\dots}) and the values are single character strings + with the components used to build the path to the file being read (the one + provided in 'file_path' or 'file_object'). The parameter 'var_name' + will be filled in automatically by Start() also, with the name of one + of the variales to be read. The parameter 'synonims' will be filled in + with exactly the same value as provided in the parameter 'synonims' in + the call to Start(), and has to be used in the code of the variable reader to check for alternative variable names inside the target file. The - \code{file_var_reader} must return a (multi)dimensional array with named + 'file_var_reader' must return a (multi)dimensional array with named dimensions, and optionally with the attribute 'variales' with other additional metadata on the retrieved variable. \cr\cr -Usually, the \code{file_var_reader} should be a degenerate case of the -\code{file_data_reader} (see documentation on the corresponding parameter), -so it is recommended to code the \code{file_data_reder} in first place. +Usually, the 'file_var_reader' should be a degenerate case of the +'file_data_reader' (see documentation on the corresponding parameter), +so it is recommended to code the 'file_data_reder' in first place. \cr\cr -This parameter takes by default \code{NcVarReader} (a variable reader function +This parameter takes by default NcVarReader() (a variable reader function for NetCDF files). \cr\cr -See \code{NcVarReader} for a template to build a variale reader for your own +See NcVarReader() for a template to build a variale reader for your own file format.} \item{file_dim_reader}{A function with the header \code{file_path = NULL}, \code{file_object = NULL}, \code{file_selectors = NULL}, \code{synonims} that returns a named numeric vector where the names are the names of the dimensions of the multidimensional data array in the file and the values are - the sizes of such dimensions. \code{Start()} will provide automatically - either a \code{file_path} or a \code{file_object} to the - \code{file_dim_reader} function (the function has to be ready to work - whichever of these two is provided). The parameter \code{file_selectors} + the sizes of such dimensions. Start() will provide automatically + either a 'file_path' or a 'file_object' to the + 'file_dim_reader' function (the function has to be ready to work + whichever of these two is provided). The parameter 'file_selectors' will also be provided automatically to the dimension reader, containing a named list where the names are the names of the file dimensions of the - queried data set (see documentation on \dots) and the values are single - character strings with the components used to build the path to the file - being read (the one provided in \code{file_path} or \code{file_object}). - The parameter \code{synonims} will be filled in with exactly the same value - as provided in the parameter \code{synonims} in the call to \code{Start()}, + queried data set (see documentation on \code{\dots}) and the values are + single character strings with the components used to build the path to the + file being read (the one provided in 'file_path' or 'file_object'). + The parameter 'synonims' will be filled in with exactly the same value + as provided in the parameter 'synonims' in the call to Start(), and can optionally be used in advanced configurations. \cr\cr -This parameter takes by default \code{NcDimReader} (a dimension reader +This parameter takes by default NcDimReader() (a dimension reader function for NetCDF files). \cr\cr -See \code{NcDimReader} for (an advanced) template to build a dimension reader +See NcDimReader() for (an advanced) template to build a dimension reader for your own file format.} \item{file_data_reader}{A function with the header \code{file_path = NULL}, \code{file_object = NULL}, \code{file_selectors = NULL}, \code{inner_indices = NULL}, \code{synonims} that returns a subset of the multidimensional data array inside a file (even if internally it is not an - array). \code{Start()} will provide automatically either a \code{file_path} - or a \code{file_object} to the \code{file_data_reader} function (the + array). Start() will provide automatically either a 'file_path' + or a 'file_object' to the 'file_data_reader' function (the function has to be ready to work whichever of these two is provided). The - parameter \code{file_selectors} will also be provided automatically to the + parameter 'file_selectors' will also be provided automatically to the data reader, containing a named list where the names are the names of the - file dimensions of the queried data set (see documentation on \dots) and the - values are single character strings with the components used to build the - path to the file being read (the one provided in \code{file_path} or - \code{file_object}). The parameter \code{inner_indices} will be filled in - automatically by \code{Start()} also, with a named list of numeric vectors, + file dimensions of the queried data set (see documentation on \code{\dots}) + and the values are single character strings with the components used to + build the path to the file being read (the one provided in 'file_path' or + 'file_object'). The parameter 'inner_indices' will be filled in + automatically by Start() also, with a named list of numeric vectors, where the names are the names of all the expected inner dimensions in a file to be read, and the numeric vectors are the indices to be taken from the corresponding dimension (the indices may not be consecutive nor in order). - The parameter \code{synonims} will be filled in with exactly the same value - as provided in the parameter \code{synonims} in the call to \code{Start()}, + The parameter 'synonims' will be filled in with exactly the same value + as provided in the parameter 'synonims' in the call to Start(), and has to be used in the code of the data reader to check for alternative - dimension names inside the target file. The \code{file_data_reader} must + dimension names inside the target file. The 'file_data_reader' must return a (multi)dimensional array with named dimensions, and optionally with - the attribute 'variales' with other additional metadata on the retrieved + the attribute 'variables' with other additional metadata on the retrieved data. \cr\cr -Usually, the \code{file_data_reader} should use the \code{file_dim_reader} +Usually, 'file_data_reader' should use 'file_dim_reader' (see documentation on the corresponding parameter), so it is recommended to -code the \code{file_dim_reder} in first place. +code 'file_dim_reder' in first place. \cr\cr -This parameter takes by default \code{NcDataReader} (a data reader function +This parameter takes by default NcDataReader() (a data reader function for NetCDF files). \cr\cr -See \code{NcDataReader} for a template to build a data reader for your own +See NcDataReader() for a template to build a data reader for your own file format.} \item{file_closer}{A function that receives as a single parameter - (\code{file_object}) an open connection (as returned by \code{file_opener}) + 'file_object' an open connection (as returned by 'file_opener') to one of the files to be read, optionally with header information, and - closes the open connection. Always returns \code{NULL}. + closes the open connection. Always returns NULL. \cr\cr -This parameter takes by default \code{NcCloser} (a closer function for NetCDF +This parameter takes by default NcCloser() (a closer function for NetCDF files). \cr\cr -See \code{NcCloser} for a template to build a file closer for your own file +See NcCloser() for a template to build a file closer for your own file format.} \item{transform}{A function with the header \code{dara_array}, @@ -240,75 +240,75 @@ input, through the parameter \code{data_array}, a subset of a multidimensional array (as returned by \code{file_data_reader}), applies a transformation to it and returns it, preserving the amount of dimensions but potentially modifying their size. This transformation may require data from -other auxiliary variables, automatically provided to \code{transform} -through the parameter \code{variables}, in the form of a named list where +other auxiliary variables, automatically provided to 'transform' +through the parameter 'variables', in the form of a named list where the names are the variable names and the values are (multi)dimensional -arrays. Which variables need to be sent to \code{transform} can be specified -with the parameter \code{transform_vars} in \code{Start()}. The parameter -\code{file_selectors} will also be provided automatically to -\code{transform}, containing a named list where the names are the names of -the file dimensions of the queried data set (see documentation on \dots) and -the values are single character strings with the components used to build -the path to the file the subset being processed belongs to. The parameter -\dots will be filled in with other additional parameters to adjust the -transformation, exactly as provided in the call to \code{Start()} via the -parameter \code{transform_params}.} +arrays. Which variables need to be sent to 'transform' can be specified +with the parameter 'transform_vars' in Start(). The parameter +'file_selectors' will also be provided automatically to +'transform', containing a named list where the names are the names of +the file dimensions of the queried data set (see documentation on +\code{\dots}) and the values are single character strings with the +components used to build the path to the file the subset being processed +belongs to. The parameter \code{\dots} will be filled in with other +additional parameters to adjust the transformation, exactly as provided in +the call to Start() via the parameter 'transform_params'.} \item{transform_params}{A named list with additional parameters to be sent to -the \code{transform} function (if specified). See documentation on -\code{transform} for details.} +the 'transform' function (if specified). See documentation on parameter +'transform' for details.} \item{transform_vars}{A vector of character strings with the names of -auxiliary variables to be sent to the \code{transform} function (if -specified). All the variables to be sent to \code{transform} must also -have been requested as return variables in the parameter \code{return_vars} -of \code{Start()}.} +auxiliary variables to be sent to the 'transform' function (if +specified). All the variables to be sent to 'transform' must also +have been requested as return variables in the parameter 'return_vars' +of Start().} \item{transform_extra_cells}{An integer of extra indices to retrieve from the -data set, beyond the requested indices in \dots, in order for -\code{transform} to dispose of additional information to properly apply +data set, beyond the requested indices in \code{\dots}, in order for +'transform' to dispose of additional information to properly apply whichever transformation (if needed). As many as -\code{transform_extra_cells} will be retrieved beyond each of the limits for +'transform_extra_cells' will be retrieved beyond each of the limits for each of those inner dimensions associated to a coordinate variable and sent -to \code{transform} (i.e. present in \code{transform_vars}). After -\code{transform} has finished, \code{Start()} will take again and return a +to 'transform' (i.e. present in 'transform_vars'). After +'transform' has finished, Start() will take again and return a subset of the result, for the returned data to fall within the specified -bounds in \dots. The default value is 2.} +bounds in \code{\dots}. The default value is 2.} \item{apply_indices_after_transform}{A logical value indicating when a -\code{transform} is specified in \code{Start()} and numeric indices are +'transform' is specified in Start() and numeric indices are provided for any of the inner dimensions that depend on coordinate variables, these numeric indices can be made effective (retrieved) before applying the transformation or after. The boolean flag allows to adjust this behaviour. -It takes \code{FALSE} by default (numeric indices are applied before sending -data to \code{transform}).} +It takes FALSE by default (numeric indices are applied before sending +data to 'transform').} \item{pattern_dims}{A character string indicating the name of the dimension -with path pattern specifications (see \dots for details). If not specified, -\code{Start()} assumes the first provided dimension is the pattern +with path pattern specifications (see \code{\dots} for details). If not +specified, Start() assumes the first provided dimension is the pattern dimension, with a warning.} \item{metadata_dims}{A vector of character strings with the names of the file -dimensions which to return metadata for. As noted in \code{file_data_reader}, +dimensions which to return metadata for. As noted in 'file_data_reader', the data reader can optionally return auxiliary data via the attribute -'variables' of the returned array. \code{Start()} by default returns the +'variables' of the returned array. Start() by default returns the auxiliary data read for only the first file of each source (or data set) in -the pattern dimension (see \dots for info on what the pattern dimension is). -However it can be configured to return the metadata for all the files along -any set of file dimensions. The parameter \code{metadata_dims} allows to -configure this level of granularity of the returned metadata.} +the pattern dimension (see \code{\dots} for info on what the pattern +dimension is). However it can be configured to return the metadata for all +the files along any set of file dimensions. The parameter 'metadata_dims' + allows to configure this level of granularity of the returned metadata.} -\item{selector_checker}{A function used internaly by \code{Start()} to +\item{selector_checker}{A function used internaly by Start() to translate a set of selectors (values for a dimension associated to a coordinate variable) into a set of numeric indices. It takes by default -\code{SelectorChecker} and, in principle, it should not be required to +SelectorChecker() and, in principle, it should not be required to change it for customized file formats. The option to replace it is left open -for more versatility. See the code of \code{SelectorChecker} for details on +for more versatility. See the code of SelectorChecker() for details on the inputs, functioning and outputs of a selector checker.} \item{merge_across_dims}{A logical value indicating whether to merge dimensions across which another dimension extends (according to the -\code{*_across} parameters). Takes the value \code{FALSE} by default. For +'_across' parameters). Takes the value FALSE by default. For example, if the dimension 'time' extends across the dimension 'chunk' and \code{merge_across_dims = TRUE}, the resulting data array will only contain only the dimension 'time' as long as all the chunks together.} @@ -329,8 +329,7 @@ is FALSE.} \item{path_glob_permissive}{A logical value or an integer specifying how many folder levels in the path pattern, beginning from the end, the shell glob expressions must be preserved and worked out for each file. The default - value is \code{FALSE}, which is equivalent to \code{0}. \code{TRUE} is - equivalent to \code{1}.\cr\cr + value is FALSE, which is equivalent to 0. TRUE is equivalent to 1.\cr\cr When specifying a path pattern for a dataset, it might contain shell glob experissions. For each dataset, the first file matching the path pattern is found, and the found file is used to work out fixed values for the glob @@ -338,43 +337,43 @@ expressions that will be used for all the files of the dataset. However in some cases the values of the shell glob expressions may not be constant for all files in a dataset, and they need to be worked out for each file involved.\cr\cr -For example, a path pattern could be as follows: -\code{'/path/to/dataset/$var$_*/$date$_*_foo.nc'}. Leaving +For example, a path pattern could be as follows: \cr +\code{'/path/to/dataset/$var$_*/$date$_*_foo.nc'}. \cr Leaving \code{path_glob_permissive = FALSE} will trigger automatic seek of the contents to replace the asterisks (e.g. the first asterisk matches with \code{'bar'} and the second with \code{'baz'}. The found contents will be used for all files in the dataset (in the example, the path pattern will be - fixed to \code{'/path/to/dataset/$var$_bar/$date$_baz_foo.nc'}. However, if + fixed to\cr \code{'/path/to/dataset/$var$_bar/$date$_baz_foo.nc'}. However, if any of the files in the dataset have other contents in the position of the - asterisks, \code{Start()} will not find them (in the example, a file like + asterisks, Start() will not find them (in the example, a file like \cr \code{'/path/to/dataset/precipitation_bar/19901101_bin_foo.nc'} would not be found). Setting \code{path_glob_permissive = 1} would preserve global expressions in the latest level (in the example, the fixed path pattern - would be \code{'/path/to/dataset/$var$_bar/$date$_*_foo.nc'}, and the + would be\cr \code{'/path/to/dataset/$var$_bar/$date$_*_foo.nc'}, and the problematic file mentioned before would be found), but of course this would - slow down the \code{Start()} call if the dataset involves a large number of + slow down the Start() call if the dataset involves a large number of files. Setting \code{path_glob_permissive = 2} would leave the original path pattern with the original glob expressions in the 1st and 2nd levels (in the - example, both asterisks would be preserved, thus would allow \code{Start()} - to recognize files such as + example, both asterisks would be preserved, thus would allow Start() + to recognize files such as \cr \code{'/path/to/dataset/precipitation_zzz/19901101_yyy_foo.nc'}).} \item{retrieve}{A logical value indicating whether to retrieve the data -defined in the \code{Start} call or to explore only its dimension lengths +defined in the Start() call or to explore only its dimension lengths and names, and the values for the file and inner dimensions. The default value is FALSE.} \item{num_procs}{An integer of number of processes to be created for the -parallel execution of the retrieval / transformation / arrangement of the -multiple involved files in a call to \code{Start()}. If set to \code{NULL}, -takes the number of available cores (as detected by \code{detectCores()} in +parallel execution of the retrieval/transformation/arrangement of the +multiple involved files in a call to Start(). If set to NULL, +takes the number of available cores (as detected by detectCores() in the package 'future'). The default value is 1 (no parallel execution).} \item{silent}{A logical value of whether to display progress messages (FALSE) or not (TRUE). The default value is FALSE.} \item{debug}{A logical value of whether to return detailed messages on the -progress and operations in a \code{Start} call (TRUE) or not (FALSE). The +progress and operations in a Start() call (TRUE) or not (FALSE). The default value is FALSE.} \item{\dots}{A selection of custemized parameters depending on the data @@ -383,7 +382,7 @@ the involved data can be perceived as belonging to a large multi-dimensional array. For instance, let us consider an example case. We want to retrieve data from a source, which contains data for the number of monthly sales of various items, and also for their retail price each month. The data on source is -stored as follows:\cr +stored as follows:\cr\cr \command{ \cr # /data/ \cr # |-> sales/ @@ -430,7 +429,7 @@ values inside the files (the inner dimensions). In the example, the file dimensions are 'source', 'variable', 'section' and 'item', whereas the inner dimensions are 'store' and 'month'. \cr\cr -Having the dimensions of our target sources in mind, the parameter \dots +Having the dimensions of our target sources in mind, the parameter \code{\dots} expects to receive information on: \itemize{ \item{ @@ -448,8 +447,8 @@ The location and organization of the files of the data sets } } For each dimension, the 3 first information items can be specified with a set -of parameters to be provided through \dots. For a given dimension 'dimname', -six parameters can be specified:\cr +of parameters to be provided through \code{\dots}. For a given dimension +'dimname', six parameters can be specified:\cr \command{ \cr # dimname = , # 'all' / 'first' / 'last' / \cr # # indices(c(1, 10, 20)) / @@ -469,7 +468,7 @@ code comments above for examples). The first format consists in using character tags, such as 'all' (take all the indices available for that dimension), 'first' (take only the first) and 'last' (only the last). The second format consists in using numeric indices, which have to be wrapped in a -call to the \code{indices()} helper function. For the second format, either a +call to the indices() helper function. For the second format, either a vector of numeric indices can be provided, or a list with two numeric indices can be provided to take all the indices in the range between the two specified indices (both extremes inclusive). The third format consists in providing a @@ -478,17 +477,17 @@ vector character strings (for file dimensions) or of values of whichever type strings in the third format will be used as components to build up the final path to the files (read further). For inner dimensions, the provided values in the third format will be compared to the values of an associated coordinate -variable (must be specified in \code{dimname_reorder}, read further), and the +variable (must be specified in '_reorder', read further), and the indices of the closest values will be retrieved. When using the third format, a list with two values can also be provided to take all the indices of the values within the specified range. \cr\cr The \bold{name of the associated coordinate variable} must be a character string with the name of an associated coordinate variable to be found in the -data files (in all* of them). For this to work, a \code{file_var_reader} -function must be specified when calling \code{Start()} (see parameter +data files (in all* of them). For this to work, a 'file_var_reader' +function must be specified when calling Start() (see parameter 'file_var_reader'). The coordinate variable must also be requested in the -parameter \code{return_vars} (see its section for details). This feature only +parameter 'return_vars' (see its section for details). This feature only works for inner dimensions. \cr\cr The \bold{tolerance value} is useful when indices for an inner dimension are @@ -503,32 +502,33 @@ The \bold{reorder_function} is useful when indices for an inner dimension are specified in the third fromat, and the retrieved indices need to be reordered in function of their provided associated variable values. A function can be provided, which receives as input a vector of values, and returns as outputs a -list with the components \code{x} with the reordered values, and \code{ix} +list with the components \code{$x} with the reordered values, and \code{$ix} with the permutation indices. Two reordering functions are included in -\code{startR}, the \code{Sort()} and the \code{CircularSort()}. +startR, the Sort() and the CircularSort(). \cr\cr -The \bold{name of another dimension} to be specified in \code{dimname_depends}, +The \bold{name of another dimension} to be specified in _depends, only available for file dimensions, must be a character string with the name -of another requested \bold{file dimension} in \dots, and will make -\code{Start()} aware that the path components of a file dimension can vary in +of another requested \bold{file dimension} in \code{\dots}, and will make +Start() aware that the path components of a file dimension can vary in function of the path component of another file dimension. For instance, in the example above, specifying \code{item_depends = 'section'} will make -\code{Start()} aware that the item names vary in function of the section, i.e. +Start() aware that the item names vary in function of the section, i.e. section 'electronics' has items 'a', 'b' and 'c' but section 'clothing' has -items 'd', 'e', 'f'. Otherwise \code{Start()} would expect to find the same +items 'd', 'e', 'f'. Otherwise Start() would expect to find the same item names in all the sections. \cr\cr -The \bold{name of another dimension} to be specified in \code{dimname_across}, +The \bold{name of another dimension} to be specified in '_across', only available for inner dimensions, must be a character string with the name -of another requested \bold{inner dimension} in \dots, and will make -\code{Start()} aware that an inner dimension extends along multiple files. For +of another requested \bold{inner dimension} in \code{\dots}, and will make +Start() aware that an inner dimension extends along multiple files. For instance, let us imagine that in the example above, the records for each item are so large that it becomes necessary to split them in multiple files each one containing the registers for a different period of time, e.g. in 10 files with 100 months each ('item_a_period1.data', 'item_a_period2.data', and so on). -In that case, the data can be perceived as having an extra file dimension, the#''period' dimension. The inner dimension 'month' would extend across multiple +In that case, the data can be perceived as having an extra file dimension, the +'period' dimension. The inner dimension 'month' would extend across multiple files, and providing the parameter \code{month = indices(1, 300)} would make -\code{Start()} crash because it would perceive we have made a request out of +Start() crash because it would perceive we have made a request out of bounds (each file contains 100 'month' indices, but we requested 1 to 300). This can be solved by specifying the parameter \code{month_across = period} (a long with the full specification of the dimension 'period'). @@ -544,11 +544,11 @@ path to one of the data set files in an accessible local or remote file system, or a URL to one of the files provided by a local or remote server. The regions of this path that vary across files (along the file dimensions) must be replaced by wildcards. The wildcards must match any of the defined file -dimensions in the call to \code{Start()} and must be delimited with heading +dimensions in the call to Start() and must be delimited with heading and trailing '$'. Shell globbing expressions can be used in the path pattern. See the next code snippet for an example of a path pattern. \cr\cr -All in all, the call to \code{Start()} to load the entire data set in the +All in all, the call to Start() to load the entire data set in the example of store item sales, would look as follows: \cr \command{ @@ -563,11 +563,11 @@ example of store item sales, would look as follows: } \cr\cr Note that in this example it would still be pending to properly define the -parameters \code{file_opener}, \code{file_closer}, \code{file_dim_reader}, -\code{file_var_reader} and \code{file_data_reader} for the '.data' file format +parameters 'file_opener', 'file_closer', 'file_dim_reader', +'file_var_reader' and 'file_data_reader' for the '.data' file format (see the corresponding sections). \cr\cr -The call to \code{Start()} will return a multidimensional R array with the +The call to Start() will return a multidimensional R array with the following dimensions: \cr \command{ @@ -575,9 +575,9 @@ following dimensions: \cr # 1 2 2 3 100 24 } \cr -The dimension specifications in the \dots do not have to follow any particular -order. The returned array will have the dimensions in the same order as they -have been specified in the call. For example, the following call: +The dimension specifications in the \code{\dots} do not have to follow any +particular order. The returned array will have the dimensions in the same order +as they have been specified in the call. For example, the following call: \cr \command{ \cr # data <- Start(source = paste0('/data/$variable$/', @@ -618,7 +618,7 @@ at): \cr\cr The defined names for the dimensions do not necessarily have to match the names of the dimensions inside the file. Lists of alternative names to be -seeked can be defined in the parameter \code{synonims}. +seeked can be defined in the parameter 'synonims'. \cr\cr If data from multiple sources (not necessarily following the same structure) has to be retrieved, it can be done by providing a vector of character strings @@ -652,12 +652,12 @@ If \code{retrieve = TRUE} the involved data is loaded into RAM memory returned:\cr \item{Data}{ Multidimensional data array with named dimensions, with the data values - requested via \dots and other parameters. This array can potentially contain - metadata in the attribute 'variables'. + requested via \code{\dots} and other parameters. This array can potentially + contain metadata in the attribute 'variables'. } \item{Variables}{ Named list of 1 + N components, containing lists of retrieved variables (as - requested in \code{return_vars}) common to all the data sources (in the 1st + requested in 'return_vars') common to all the data sources (in the 1st component, \code{$common}), and for each of the N dara sources (named after the source name, as specified in \dots, or, if not specified, \code{$dat1}, \code{$dat2}, ..., \code{$datN}). Each of the variables are contained in a @@ -666,12 +666,12 @@ If \code{retrieve = TRUE} the involved data is loaded into RAM memory } \item{Files}{ Multidimensonal character string array with named dimensions. Its dimensions - are the file dimensions (as requested in \dots). Each cell in this array - contains a path to a retrieved file, or \code{NULL} if the corresponding + are the file dimensions (as requested in \code{\dots}). Each cell in this + array contains a path to a retrieved file, or NULL if the corresponding file was not found. } \item{NotFoundFiles}{ - Array with the same shape as \code{$Files} but with \code{NULL} in the + Array with the same shape as \code{$Files} but with NULL in the positions for which the corresponding file was found, and a path to the expected file in the positions for which the corresponding file was not found. @@ -687,11 +687,11 @@ an object of the class 'startR_header' with the following components is returned:\cr \item{Dimensions}{ Named vector with the dimension lengths and names of the data involved in - the \code{Start} call. + the Start() call. } - \item{Variales}{ + \item{Variables}{ Named list of 1 + N components, containing lists of retrieved variables (as - requested in \code{return_vars}) common to all the data sources (in the 1st + requested in 'return_vars') common to all the data sources (in the 1st component, \code{$common}), and for each of the N dara sources (named after the source name, as specified in \dots, or, if not specified, \code{$dat1}, \code{$dat2}, ..., \code{$datN}). Each of the variables are contained in a @@ -710,32 +710,31 @@ returned:\cr sources. } \item{StartRCall}{ - List of parameters sent to the \code{Start} call, with the parameter - \code{retrieve} set to \code{TRUE}. Intended for calling in order to - retrieve the associated data a posteriori with a call to \code{do.call}. + List of parameters sent to the Start() call, with the parameter + 'retrieve' set to TRUE. Intended for calling in order to + retrieve the associated data a posteriori with a call to do.call(). } } \description{ -See the \href{https://earth.bsc.es/gitlab/es/startR}{\code{startR} -documentation and tutorial} for a step-by-step explanation on how to use -\code{Start()}.\cr\cr +See the \href{https://earth.bsc.es/gitlab/es/startR}{startR documentation and +tutorial} for a step-by-step explanation on how to use Start().\cr\cr Nowadays in the era of big data, large multidimensional data sets from diverse sources need to be combined and processed. Analysis of big data in any field is often highly complex and time-consuming. Taking subsets of these data sets and processing them efficiently become an indispensable practice. This technique is also known as Domain Decomposition, Map Reduce or, more commonly, 'chunking'.\cr\cr -\code{startR} (Subset, TrAnsform, ReTrieve, arrange and process large +startR (Subset, TrAnsform, ReTrieve, arrange and process large multidimensional data sets in R) is an R project started at BSC with the aim to develop a tool that allows the user to automatically process large multidimensional distributed data sets. It is an open source project that is open to external collaboration and funding, and will continuously evolve to support as many data set formats as possible while maximizing its efficiency.\cr\cr -\code{startR} provides a framework under which a data set (collection of one +startR provides a framework under which a data set (collection of one or multiple data files, potentially distributed over various remote servers) are perceived as if they all were part of a single large multidimensional array. Once such multidimensional array is declared, any user-defined function -can be applied to the data in a \code{apply}-like fashion, where \code{startR} +can be applied to the data in a \code{apply}-like fashion, where startR transparently implements the Map Reduce paradigm. The steps to follow in order to process a collection of big data sets are as follows:\cr \itemize{ @@ -743,7 +742,7 @@ to process a collection of big data sets are as follows:\cr Declaring the data set, i.e. declaring the distribution of the data files involved, the dimensions and shape of the multidimensional array, and the boundaries of the target data. This step can be performed with the -\code{Start()} function. Numeric indices or coordinate values can be used when +Start() function. Numeric indices or coordinate values can be used when fixing the boundaries. It is common having the need to apply transformations, pre-processing or reordering to the data. Start() accepts user-defined transformation or reordering functions to be applied for such purposes. Once a @@ -753,8 +752,7 @@ retrieved and loaded onto the current R session if it is small enough. } \item{ Declaring the workflow of operations to perform on the involved data set(s). -This step can be performed with the \code{Step()} and \code{AddStep()} -functions. +This step can be performed with the Step() and AddStep() functions. } \item{ Defining the computation settings. The mandatory settings include a) how many @@ -764,25 +762,25 @@ machine/HPC?), how to communicate with it (unidirectional or bidirectional connection? shared or separate file systems?), which queuing system it uses (slurm, PBS, LSF, none?); and c) how many parallel jobs and execution threads per job to use when running the calculations. This step can be performed when -building up the call to the \code{Compute()} function. +building up the call to the Compute() function. } \item{ Running the computation. startR transparently implements the Map Reduce paradigm, according to the settings in the previous steps. The progress can optionally be monitored with the EC-Flow workflow management tool. When the computation ends, a report of performance timings is displayed. This step can -be triggered with the \code{Compute()} function. +be triggered with the Compute() function. } } -\code{startR} is not bound to a specific file format. Interface functions to -custom file formats can be provided for \code{Start()} to read them. As this -version, \code{startR} includes interface functions to the following file formats: +startR is not bound to a specific file format. Interface functions to +custom file formats can be provided for Start() to read them. As this +version, startR includes interface functions to the following file formats: \itemize{ \item{ NetCDF } } -Metadata and auxilliary data is also preserved and arranged by \code{Start()} +Metadata and auxilliary data is also preserved and arranged by Start() in the measure that it is retrieved by the interface functions for a specific file format. } diff --git a/man/Step.Rd b/man/Step.Rd index 66c7870..47b6c39 100644 --- a/man/Step.Rd +++ b/man/Step.Rd @@ -40,7 +40,7 @@ identifies the operation (i.e., function) and the target and output dimensions of data array for the function. Ideally, it expects the dimension name to be in the same order as the one requested in the Start() call. If a different order is specified, startR will reorder the subset dimension -to the expected order for this function./cr +to the expected order for this function. } \examples{ data_path <- system.file('extdata', package = 'startR') -- GitLab From dcea1d1fc06f55e7a23339dc928b2e7670168847 Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 5 Aug 2020 12:49:50 +0200 Subject: [PATCH 50/60] Remove ByChunk.Rd and adjust .Rbuildigore --- .Rbuildignore | 6 +-- R/ByChunks.R | 51 +++++++++++------------ man/ByChunks.Rd | 105 ------------------------------------------------ 3 files changed, 29 insertions(+), 133 deletions(-) delete mode 100644 man/ByChunks.Rd diff --git a/.Rbuildignore b/.Rbuildignore index e90141b..c95a25e 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -8,9 +8,9 @@ #^vignettes$ #^inst/chunking/$ ^inst/doc/$ -#^inst/doc/*$ -#^inst/doc/figures/$ -#^inst/doc/usecase/$ +^inst/doc/*$ +^inst/doc/figures/$ +^inst/doc/usecase/$ #^inst/PlotProfiling\.R$ # Suggested by http://r-pkgs.had.co.nz/package.html diff --git a/R/ByChunks.R b/R/ByChunks.R index 812192b..1ae49e2 100644 --- a/R/ByChunks.R +++ b/R/ByChunks.R @@ -53,33 +53,34 @@ #'@examples #' # ByChunks() is internally used in Compute(), not intended to be used by #' # users. The example just illustrates the inputs of ByChunks(). -#' data_path <- system.file('extdata', package = 'startR') -#' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') -#' sdates <- c('200011', '200012') -#' data <- Start(dat = path_obs, -#' var = 'tos', -#' sdate = sdates, -#' time = 'all', -#' latitude = 'all', -#' longitude = 'all', -#' return_vars = list(latitude = 'dat', -#' longitude = 'dat', -#' time = 'sdate'), -#' retrieve = FALSE) -#' fun <- function(x) { -#' lat = attributes(x)$Variables$dat1$latitude -#' weight = sqrt(cos(lat * pi / 180)) -#' corrected = Apply(list(x), target_dims = "latitude", -#' fun = function(x) {x * weight}) -#' } -#' step <- Step(fun = fun, -#' target_dims = 'latitude', -#' output_dims = 'latitude', -#' use_libraries = c('multiApply'), -#' use_attributes = list(data = "Variables")) -#' ByChunks(step, data) +#' # data_path <- system.file('extdata', package = 'startR') +#' # path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') +#' # sdates <- c('200011', '200012') +#' # data <- Start(dat = path_obs, +#' # var = 'tos', +#' # sdate = sdates, +#' # time = 'all', +#' # latitude = 'all', +#' # longitude = 'all', +#' # return_vars = list(latitude = 'dat', +#' # longitude = 'dat', +#' # time = 'sdate'), +#' # retrieve = FALSE) +#' # fun <- function(x) { +#' # lat = attributes(x)$Variables$dat1$latitude +#' # weight = sqrt(cos(lat * pi / 180)) +#' # corrected = Apply(list(x), target_dims = "latitude", +#' # fun = function(x) {x * weight}) +#' # } +#' # step <- Step(fun = fun, +#' # target_dims = 'latitude', +#' # output_dims = 'latitude', +#' # use_libraries = c('multiApply'), +#' # use_attributes = list(data = "Variables")) +#' #ByChunks(step, data) #' #'@import multiApply +#'@noRd ByChunks <- function(step_fun, cube_headers, ..., chunks = 'auto', threads_load = 2, threads_compute = 1, cluster = NULL, diff --git a/man/ByChunks.Rd b/man/ByChunks.Rd deleted file mode 100644 index 9c391ae..0000000 --- a/man/ByChunks.Rd +++ /dev/null @@ -1,105 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/ByChunks.R -\name{ByChunks} -\alias{ByChunks} -\title{Execute the operation by chunks} -\usage{ -ByChunks(step_fun, cube_headers, ..., chunks = "auto", threads_load = 2, - threads_compute = 1, cluster = NULL, ecflow_suite_dir = NULL, - ecflow_server = NULL, silent = FALSE, debug = FALSE, wait = TRUE) -} -\arguments{ -\item{step_fun}{A function with the class 'startR_step_fun' containing the -details of operation.} - -\item{cube_headers}{A list with the class 'startR_cube' returned by Start(). -It contains the details of data to be operated.} - -\item{chunks}{A named list of dimensions which to split the data along and -the number of chunks to make for each. The chunked dimension can only be -those not required as the target dimension in function Step(). The default -value is 'auto', which lists all the non-target dimensions and each one has -one chunk.} - -\item{threads_load}{An integer indicating the number of execution threads to -use for the data retrieval stage. The default value is 1.} - -\item{threads_compute}{An integer indicating the number of execution threads -to use for the computation. The default value is 1.} - -\item{cluster}{A list of components that define the configuration of the -machine to be run on. The comoponents vary from the different machines. -Check \href{https://earth.bsc.es/gitlab/es/startR/}{startR GitLab} for more -details and examples. -Only needed when the computation is not run locally. The default value is -NULL.} - -\item{ecflow_suite_dir}{A character string indicating the path to a folder in -the local workstation where to store temporary files generated for the -automatic management of the workflow. Only needed when the execution is run -remotely. The default value is NULL.} - -\item{ecflow_server}{A named vector indicating the host and port of the -EC-Flow server. The vector form should be -\code{c(host = 'hostname', port = port_number)}. Only needed when the -execution is run remotely. The default value is NULL.} - -\item{silent}{A logical value deciding whether to print the computation -progress (FALSE) on the R session or not (TRUE). It only works when the -execution runs locally or the parameter 'wait' is TRUE. The default value -is FALSE.} - -\item{debug}{A logical value deciding whether to return detailed messages on -the progress and operations in a Compute() call (TRUE) or not (FALSE). -Automatically changed to FALSE if parameter 'silent' is TRUE. The default -value is FALSE.} - -\item{wait}{A logical value deciding whether the R session waits for the -Compute() call to finish (TRUE) or not (FALSE). If FALSE, it will return an -object with all the information of the startR execution that can be stored -in your disk. After that, the R session can be closed and the results can -be collected later with the Collect() function. The default value is TRUE.} - -\item{\dots}{Additional parameters for the inputs of 'step_fun'.} -} -\value{ -A list of data arrays for the output returned by the last step in the - specified workflow. The configuration details and profiling information are - attached as attributes to the returned list of arrays. -} -\description{ -This is an internal function used in Compute(), executing the operation by -the chunks specified in Compute(). It also returns the configuration details -and profiling information. -} -\examples{ -# ByChunks() is internally used in Compute(), not intended to be used by -# users. The example just illustrates the inputs of ByChunks(). - data_path <- system.file('extdata', package = 'startR') - path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') - sdates <- c('200011', '200012') - data <- Start(dat = path_obs, - var = 'tos', - sdate = sdates, - time = 'all', - latitude = 'all', - longitude = 'all', - return_vars = list(latitude = 'dat', - longitude = 'dat', - time = 'sdate'), - retrieve = FALSE) - fun <- function(x) { - lat = attributes(x)$Variables$dat1$latitude - weight = sqrt(cos(lat * pi / 180)) - corrected = Apply(list(x), target_dims = "latitude", - fun = function(x) {x * weight}) - } - step <- Step(fun = fun, - target_dims = 'latitude', - output_dims = 'latitude', - use_libraries = c('multiApply'), - use_attributes = list(data = "Variables")) - ByChunks(step, data) - -} - -- GitLab From 12a82effdb4c740514ab8771e17093a07af06d63 Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 5 Aug 2020 13:31:34 +0200 Subject: [PATCH 51/60] Renew pdf 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rf&^UYZd#r}RIGqaqUJl1~!W6)#| -- GitLab From af054d6d245b6a100e43f709cc2b189feafd99a1 Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 5 Aug 2020 14:15:14 +0200 Subject: [PATCH 52/60] Correct seealso link --- R/NcCloser.R | 3 ++- R/NcDataReader.R | 3 ++- R/NcDimReader.R | 3 ++- R/NcOpener.R | 3 ++- R/NcVarReader.R | 2 ++ R/indices.R | 2 +- R/values.R | 2 +- man/NcCloser.Rd | 3 ++- man/NcDataReader.Rd | 3 ++- man/NcDimReader.Rd | 3 ++- man/NcOpener.Rd | 3 ++- man/NcVarReader.Rd | 4 ++++ man/indices.Rd | 2 +- man/values.Rd | 2 +- 14 files changed, 26 insertions(+), 12 deletions(-) diff --git a/R/NcCloser.R b/R/NcCloser.R index 7ee8f89..770bdec 100644 --- a/R/NcCloser.R +++ b/R/NcCloser.R @@ -17,7 +17,8 @@ #'path_obs <- file.path(data_path, 'obs/monthly_mean/tos/tos_200011.nc') #'connection <- NcOpener(path_obs) #'NcCloser(connection) -#'@seealso [NcOpener()] [NcDimReader()] [NcDataReader()] [NcVarReader()] +#'@seealso \code{\link{NcOpener}} \code{\link{NcDataReader}} +#' \code{\link{NcDimReader}} \code{\link{NcVarReader}} #'@import easyNCDF #'@export NcCloser <- function(file_object) { diff --git a/R/NcDataReader.R b/R/NcDataReader.R index 806550f..0dfe0b2 100644 --- a/R/NcDataReader.R +++ b/R/NcDataReader.R @@ -41,7 +41,8 @@ #' latitude = 'latitude', longitude = 'longitude') #' sub_array <- NcDataReader(file_to_open, NULL, file_selectors, #' first_round_indices, synonims) -#'@seealso [NcOpener()] [NcDimReader()] [NcCloser()] [NcVarReader()] +#'@seealso \code{\link{NcOpener}} \code{\link{NcDimReader}} +#' \code{\link{NcCloser}} \code{\link{NcVarReader}} #'@import easyNCDF #'@export NcDataReader <- function(file_path = NULL, file_object = NULL, diff --git a/R/NcDimReader.R b/R/NcDimReader.R index e3f090a..7f8fab1 100644 --- a/R/NcDimReader.R +++ b/R/NcDimReader.R @@ -38,7 +38,8 @@ #' latitude = 'latitude', longitude = 'longitude') #' dim_of_file <- NcDimReader(file_to_open, NULL, file_selectors, #' first_round_indices, synonims) -#'@seealso [NcOpener()] [NcCloser()] [NcDataReader()] [NcVarReader()] +#'@seealso \code{\link{NcOpener}} \code{\link{NcDataReader}} +#' \code{\link{NcCloser}} \code{\link{NcVarReader}} #'@import easyNCDF #'@export NcDimReader <- function(file_path = NULL, file_object = NULL, diff --git a/R/NcOpener.R b/R/NcOpener.R index b9cceb2..a301432 100644 --- a/R/NcOpener.R +++ b/R/NcOpener.R @@ -18,7 +18,8 @@ #'path_obs <- file.path(data_path, 'obs/monthly_mean/tos/tos_200011.nc') #'connection <- NcOpener(path_obs) #'NcCloser(connection) -#'@seealso [NcCloser()] [NcDimReader()] [NcDataReader()] [NcVarReader()] +#'@seealso \code{\link{NcDimReader}} \code{\link{NcDataReader}} +#' \code{\link{NcCloser}} \code{\link{NcVarReader}} #'@import easyNCDF #'@export NcOpener <- function(file_path) { diff --git a/R/NcVarReader.R b/R/NcVarReader.R index 3cc8410..b78e89e 100644 --- a/R/NcVarReader.R +++ b/R/NcVarReader.R @@ -38,6 +38,8 @@ #' latitude = 'latitude', longitude = 'longitude') #' var <- NcVarReader(file_to_open, NULL, file_selectors, #' 'tos', synonims) +#'@seealso \code{\link{NcOpener}} \code{\link{NcDataReader}} +#' \code{\link{NcCloser}} \code{\link{NcDimReader}} #'@export NcVarReader <- function(file_path = NULL, file_object = NULL, file_selectors = NULL, var_name = NULL, diff --git a/R/indices.R b/R/indices.R index 3277f0f..ddcf063 100644 --- a/R/indices.R +++ b/R/indices.R @@ -24,7 +24,7 @@ #' longitude = 'dat', #' time = 'sdate'), #' retrieve = FALSE) -#'@seealso [values()] +#'@seealso \code{\link{values}} #'@export indices <- function(x) { attr(x, 'indices') <- TRUE diff --git a/R/values.R b/R/values.R index 82c3ae2..2b4927b 100644 --- a/R/values.R +++ b/R/values.R @@ -25,7 +25,7 @@ #' longitude = 'dat', #' time = 'sdate'), #' retrieve = FALSE) -#'@seealso [indices()] +#'@seealso \code{\link{indices}} #'@export values <- function(x) { attr(x, 'indices') <- FALSE diff --git a/man/NcCloser.Rd b/man/NcCloser.Rd index fb4831e..a565d4b 100644 --- a/man/NcCloser.Rd +++ b/man/NcCloser.Rd @@ -31,6 +31,7 @@ NcCloser(connection) \seealso{ \code{\link[easyNCDF]{NcClose}} -[NcOpener()] [NcDimReader()] [NcDataReader()] [NcVarReader()] +\code{\link{NcOpener}} \code{\link{NcDataReader}} + \code{\link{NcDimReader}} \code{\link{NcVarReader}} } diff --git a/man/NcDataReader.Rd b/man/NcDataReader.Rd index 96e7391..a6d32c7 100644 --- a/man/NcDataReader.Rd +++ b/man/NcDataReader.Rd @@ -58,6 +58,7 @@ in turn uses nc_var_get() in the package 'ncdf4'. first_round_indices, synonims) } \seealso{ -[NcOpener()] [NcDimReader()] [NcCloser()] [NcVarReader()] +\code{\link{NcOpener}} \code{\link{NcDimReader}} + \code{\link{NcCloser}} \code{\link{NcVarReader}} } diff --git a/man/NcDimReader.Rd b/man/NcDimReader.Rd index 3260d6d..d539ffd 100644 --- a/man/NcDimReader.Rd +++ b/man/NcDimReader.Rd @@ -55,6 +55,7 @@ This function uses the function NcReadDims() in the package 'easyNCDF'. first_round_indices, synonims) } \seealso{ -[NcOpener()] [NcCloser()] [NcDataReader()] [NcVarReader()] +\code{\link{NcOpener}} \code{\link{NcDataReader}} + \code{\link{NcCloser}} \code{\link{NcVarReader}} } diff --git a/man/NcOpener.Rd b/man/NcOpener.Rd index fb0239a..e46384c 100644 --- a/man/NcOpener.Rd +++ b/man/NcOpener.Rd @@ -31,6 +31,7 @@ connection <- NcOpener(path_obs) NcCloser(connection) } \seealso{ -[NcCloser()] [NcDimReader()] [NcDataReader()] [NcVarReader()] +\code{\link{NcDimReader}} \code{\link{NcDataReader}} + \code{\link{NcCloser}} \code{\link{NcVarReader}} } diff --git a/man/NcVarReader.Rd b/man/NcVarReader.Rd index c5a7ab8..c601907 100644 --- a/man/NcVarReader.Rd +++ b/man/NcVarReader.Rd @@ -54,4 +54,8 @@ nc_var_get() in the package 'ncdf4'. var <- NcVarReader(file_to_open, NULL, file_selectors, 'tos', synonims) } +\seealso{ +\code{\link{NcOpener}} \code{\link{NcDataReader}} + \code{\link{NcCloser}} \code{\link{NcDimReader}} +} diff --git a/man/indices.Rd b/man/indices.Rd index 498200d..20f2d99 100644 --- a/man/indices.Rd +++ b/man/indices.Rd @@ -37,6 +37,6 @@ original data. See details in the documentation of the parameter \code{\dots} retrieve = FALSE) } \seealso{ -[values()] +\code{\link{values}} } diff --git a/man/values.Rd b/man/values.Rd index 6ce9c66..517963c 100644 --- a/man/values.Rd +++ b/man/values.Rd @@ -39,6 +39,6 @@ coordinate variable. See details in the documentation of the parameter retrieve = FALSE) } \seealso{ -[indices()] +\code{\link{indices}} } -- GitLab From 4d70f77aca207a36171563800711750008d0047a Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 5 Aug 2020 14:28:01 +0200 Subject: [PATCH 53/60] Adjust doc format --- R/CDORemapper.R | 2 +- R/NcCloser.R | 4 ++-- R/Start.R | 16 ++++++++-------- man/CDORemapper.Rd | 2 +- man/NcCloser.Rd | 4 ++-- man/Start.Rd | 16 ++++++++-------- 6 files changed, 22 insertions(+), 22 deletions(-) diff --git a/R/CDORemapper.R b/R/CDORemapper.R index 303e42c..544847a 100644 --- a/R/CDORemapper.R +++ b/R/CDORemapper.R @@ -23,7 +23,7 @@ #'@return An array with the same amount of dimensions as the input data array, #' potentially with different sizes, and potentially with the attribute #' 'variables' with additional auxiliary data. See details in the documentation -#' of the parameter 'transform' of the function \code{Start()}. +#' of the parameter 'transform' of the function Start(). #'@seealso \code{\link[s2dverification]{CDORemap}} #' #'@examples diff --git a/R/NcCloser.R b/R/NcCloser.R index 770bdec..da38a5c 100644 --- a/R/NcCloser.R +++ b/R/NcCloser.R @@ -4,8 +4,8 @@ #'parameter 'file_closer' in a Start() call. This function complies with the #'input/output interface required by Start() defined in the documentation for #'the parameter 'file_closer'.\cr\cr -#'This function uses the function \code{NcClose()} in the package 'easyNCDF', -#'which in turn uses \code{nc_close()} in the package 'ncdf4'. +#'This function uses the function NcClose() in the package 'easyNCDF', +#'which in turn uses nc_close() in the package 'ncdf4'. #' #'@param file_object An open connection to a NetCDF file, optionally with #' additional header information. See details in the documentation of the diff --git a/R/Start.R b/R/Start.R index 9bd03ae..773f9e7 100644 --- a/R/Start.R +++ b/R/Start.R @@ -350,21 +350,21 @@ #'Start() (see documentation on the corresponding parameter). #'\cr\cr #'In the case of the the item sales example (see documentation on parameter -#'\code{\dots)}, the store location variable is requested with the parameter -#'\code{return_vars = list(store_location = NULL)}. This will cause +#'\code{\dots)}, the store location variable is requested with the parameter\cr +#'\code{return_vars = list(store_location = NULL)}.\cr This will cause #'Start() to fetch once the variable 'store_location' and return it in -#'the component \code{$Variables$common$store_location}, and will be an array -#'of character strings with the location names, with the dimensions +#'the component\cr \code{$Variables$common$store_location},\cr and will be an +#'array of character strings with the location names, with the dimensions #'\code{c('store' = 100)}. Although useless in this example, we could ask -#'\code{Start()} to fetch and return such variable for each file along the +#'Start() to fetch and return such variable for each file along the #'items dimension as follows: \cr -#'\code{return_vars = list(store_location = c('item'))}. In that case, the +#'\code{return_vars = list(store_location = c('item'))}.\cr In that case, the #'variable will be fetched once from a file of each of the items, and will be #'returned as an array with the dimensions \code{c('item' = 3, 'store' = 100)}. #'\cr\cr #'If a variable is requested along a file dimension that contains path pattern #'specifications ('source' in the example), the fetched variable values will be -#'returned in the component \code{$Variables$$}. +#'returned in the component\cr \code{$Variables$$}.\cr #'For example: #'\cr #'\command{ @@ -559,7 +559,7 @@ #'@param transform A function with the header \code{dara_array}, #' \code{variables}, \code{file_selectors = NULL}, \code{\dots}. It receives as #' input, through the parameter \code{data_array}, a subset of a -#' multidimensional array (as returned by \code{file_data_reader}), applies a +#' multidimensional array (as returned by 'file_data_reader'), applies a #' transformation to it and returns it, preserving the amount of dimensions but #' potentially modifying their size. This transformation may require data from #' other auxiliary variables, automatically provided to 'transform' diff --git a/man/CDORemapper.Rd b/man/CDORemapper.Rd index 984e127..d3f6770 100644 --- a/man/CDORemapper.Rd +++ b/man/CDORemapper.Rd @@ -26,7 +26,7 @@ in the documentation of the parameter 'transform' of the function Start().} An array with the same amount of dimensions as the input data array, potentially with different sizes, and potentially with the attribute 'variables' with additional auxiliary data. See details in the documentation - of the parameter 'transform' of the function \code{Start()}. + of the parameter 'transform' of the function Start(). } \description{ This is a transform function that uses CDO software to remap longitude-latitude diff --git a/man/NcCloser.Rd b/man/NcCloser.Rd index a565d4b..ec377b5 100644 --- a/man/NcCloser.Rd +++ b/man/NcCloser.Rd @@ -19,8 +19,8 @@ This is a file closer function for NetCDF files, intended for use as parameter 'file_closer' in a Start() call. This function complies with the input/output interface required by Start() defined in the documentation for the parameter 'file_closer'.\cr\cr -This function uses the function \code{NcClose()} in the package 'easyNCDF', -which in turn uses \code{nc_close()} in the package 'ncdf4'. +This function uses the function NcClose() in the package 'easyNCDF', +which in turn uses nc_close() in the package 'ncdf4'. } \examples{ data_path <- system.file('extdata', package = 'startR') diff --git a/man/Start.Rd b/man/Start.Rd index b8cdf35..ba88828 100644 --- a/man/Start.Rd +++ b/man/Start.Rd @@ -28,21 +28,21 @@ variables inside the files can also be needed. The parameter Start() (see documentation on the corresponding parameter). \cr\cr In the case of the the item sales example (see documentation on parameter -\code{\dots)}, the store location variable is requested with the parameter -\code{return_vars = list(store_location = NULL)}. This will cause +\code{\dots)}, the store location variable is requested with the parameter\cr +\code{return_vars = list(store_location = NULL)}.\cr This will cause Start() to fetch once the variable 'store_location' and return it in -the component \code{$Variables$common$store_location}, and will be an array -of character strings with the location names, with the dimensions +the component\cr \code{$Variables$common$store_location},\cr and will be an +array of character strings with the location names, with the dimensions \code{c('store' = 100)}. Although useless in this example, we could ask -\code{Start()} to fetch and return such variable for each file along the +Start() to fetch and return such variable for each file along the items dimension as follows: \cr -\code{return_vars = list(store_location = c('item'))}. In that case, the +\code{return_vars = list(store_location = c('item'))}.\cr In that case, the variable will be fetched once from a file of each of the items, and will be returned as an array with the dimensions \code{c('item' = 3, 'store' = 100)}. \cr\cr If a variable is requested along a file dimension that contains path pattern specifications ('source' in the example), the fetched variable values will be -returned in the component \code{$Variables$$}. +returned in the component\cr \code{$Variables$$}.\cr For example: \cr \command{ @@ -237,7 +237,7 @@ format.} \item{transform}{A function with the header \code{dara_array}, \code{variables}, \code{file_selectors = NULL}, \code{\dots}. It receives as input, through the parameter \code{data_array}, a subset of a -multidimensional array (as returned by \code{file_data_reader}), applies a +multidimensional array (as returned by 'file_data_reader'), applies a transformation to it and returns it, preserving the amount of dimensions but potentially modifying their size. 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z*2o6$?Bs-p>Re+XaJ#C%C9MMMwcH@fs~+6-^=*-!OYSi1h^osj41B#-`nU)8=Apj= zlOVfzV-X=K6yBiDDH+3drRU2VDGI4AP0LK11J!d=<{{= Date: Wed, 5 Aug 2020 14:40:05 +0200 Subject: [PATCH 55/60] Revise @seealso --- R/NcCloser.R | 1 - man/NcCloser.Rd | 2 -- 2 files changed, 3 deletions(-) diff --git a/R/NcCloser.R b/R/NcCloser.R index da38a5c..476592e 100644 --- a/R/NcCloser.R +++ b/R/NcCloser.R @@ -11,7 +11,6 @@ #' additional header information. See details in the documentation of the #' parameter 'file_closer' of the function Start(). #'@return This function returns NULL. -#'@seealso \code{\link[easyNCDF]{NcClose}} #'@examples #'data_path <- system.file('extdata', package = 'startR') #'path_obs <- file.path(data_path, 'obs/monthly_mean/tos/tos_200011.nc') diff --git a/man/NcCloser.Rd b/man/NcCloser.Rd index ec377b5..65beab8 100644 --- a/man/NcCloser.Rd +++ b/man/NcCloser.Rd @@ -29,8 +29,6 @@ connection <- NcOpener(path_obs) NcCloser(connection) } \seealso{ -\code{\link[easyNCDF]{NcClose}} - \code{\link{NcOpener}} \code{\link{NcDataReader}} \code{\link{NcDimReader}} \code{\link{NcVarReader}} } -- GitLab From 49485bd169f8b7aed2678d02f059283932200067 Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 5 Aug 2020 14:42:06 +0200 Subject: [PATCH 56/60] Renew pdf --- startR-manual.pdf | Bin 151649 -> 151586 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/startR-manual.pdf b/startR-manual.pdf index 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"cph")), person("Nicolau", "Manubens", , "nicolau.manubens@bsc.es", role = c("aut")), - person("An-Chi", "Ho", , "an.ho@bsc.es", role = c("ctb")), - person("Nuria", "Perez-Zanon", , "nuria.perez@bsc.es", role = c("ctb", "cre"), comment = c(ORCID = "0000-0001-8568-3071")), + person("An-Chi", "Ho", , "an.ho@bsc.es", role = c("ctb", "cre")), + person("Nuria", "Perez-Zanon", , "nuria.perez@bsc.es", role = c("ctb"), comment = c(ORCID = "0000-0001-8568-3071")), person("Javier", "Vegas", , "javier.vegas@bsc.es", role = c("ctb")), person("Pierre-Antoine", "Bretonniere", , "pierre-antoine.bretonniere@bsc.es", role = c("ctb")), person("Roberto", "Serrano", , "rsnotivoli@gmal.com", role = c("ctb"))) -- GitLab From 115bb074f5aeec7634fa0ccc81a9fd9fd57f8de6 Mon Sep 17 00:00:00 2001 From: aho Date: Wed, 5 Aug 2020 16:14:05 +0200 Subject: [PATCH 58/60] Renew pdf --- startR-manual.pdf | Bin 151586 -> 151587 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/startR-manual.pdf 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Date: Thu, 6 Aug 2020 13:17:59 +0200 Subject: [PATCH 59/60] Modify for CRAN win-builder check --- .Rbuildignore | 10 +++++----- DESCRIPTION | 4 ++-- NAMESPACE | 3 +++ R/AddStep.R | 2 +- R/ByChunks.R | 2 +- R/CDORemapper.R | 5 +++-- R/Collect.R | 2 +- R/Compute.R | 2 +- R/NcDimReader.R | 1 + R/Sort.R | 2 +- R/Start.R | 10 ++++++---- R/Step.R | 2 +- R/indices.R | 2 +- R/values.R | 2 +- man/AddStep.Rd | 2 +- man/CDORemapper.Rd | 5 +++-- man/Collect.Rd | 2 +- man/Compute.Rd | 2 +- man/Sort.Rd | 2 +- man/Start.Rd | 2 +- man/Step.Rd | 2 +- man/indices.Rd | 2 +- man/values.Rd | 2 +- 23 files changed, 39 insertions(+), 31 deletions(-) diff --git a/.Rbuildignore b/.Rbuildignore index c95a25e..eeac7b8 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -6,11 +6,11 @@ ^README\.md$ #\..*\.RData$ #^vignettes$ -#^inst/chunking/$ -^inst/doc/$ -^inst/doc/*$ -^inst/doc/figures/$ -^inst/doc/usecase/$ +^tests$ +^inst/doc$ +#^inst/doc/*$ +#^inst/doc/figures/$ +#^inst/doc/usecase/$ #^inst/PlotProfiling\.R$ # Suggested by http://r-pkgs.had.co.nz/package.html diff --git a/DESCRIPTION b/DESCRIPTION index f27bdd1..b1b9425 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -30,11 +30,11 @@ Imports: s2dverification, ClimProjDiags Suggests: - testthat, stats, utils License: LGPL-3 URL: https://earth.bsc.es/gitlab/es/startR/ -BugReports: https://earth.bsc.es/gitlab/es/startR/issues +BugReports: https://earth.bsc.es/gitlab/es/startR/-/issues LazyData: true +SystemRequirements: cdo RoxygenNote: 5.0.0 diff --git a/NAMESPACE b/NAMESPACE index 81fe78c..a3ad75f 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -24,3 +24,6 @@ import(multiApply) import(parallel) importFrom(ClimProjDiags,Subset) importFrom(s2dverification,CDORemap) +importFrom(stats,na.omit) +importFrom(stats,setNames) +importFrom(utils,str) diff --git a/R/AddStep.R b/R/AddStep.R index 5c3fdaf..037bd58 100644 --- a/R/AddStep.R +++ b/R/AddStep.R @@ -15,7 +15,7 @@ #' data_path <- system.file('extdata', package = 'startR') #' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') #' sdates <- c('200011', '200012') -#' data <- Start(dat = path_obs, +#' data <- Start(dat = list(list(path = path_obs)), #' var = 'tos', #' sdate = sdates, #' time = 'all', diff --git a/R/ByChunks.R b/R/ByChunks.R index 1ae49e2..5f0bba5 100644 --- a/R/ByChunks.R +++ b/R/ByChunks.R @@ -56,7 +56,7 @@ #' # data_path <- system.file('extdata', package = 'startR') #' # path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') #' # sdates <- c('200011', '200012') -#' # data <- Start(dat = path_obs, +#' # data <- Start(dat = list(list(path = path_obs)), #' # var = 'tos', #' # sdate = sdates, #' # time = 'all', diff --git a/R/CDORemapper.R b/R/CDORemapper.R index 544847a..815b92a 100644 --- a/R/CDORemapper.R +++ b/R/CDORemapper.R @@ -31,7 +31,8 @@ #' data_path <- system.file('extdata', package = 'startR') #' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') #' sdates <- c('200011') -#' data <- Start(dat = path_obs, +#' \donttest{ +#' data <- Start(dat = list(list(path = path_obs)), #' var = 'tos', #' sdate = sdates, #' time = 'all', @@ -48,7 +49,7 @@ #' longitude = 'dat', #' time = 'sdate'), #' retrieve = FALSE) -#' +#' } #'@importFrom s2dverification CDORemap #'@export CDORemapper <- function(data_array, variables, file_selectors = NULL, ...) { diff --git a/R/Collect.R b/R/Collect.R index 2eca915..bf38729 100644 --- a/R/Collect.R +++ b/R/Collect.R @@ -27,7 +27,7 @@ #' data_path <- system.file('extdata', package = 'startR') #' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') #' sdates <- c('200011', '200012') -#' data <- Start(dat = path_obs, +#' data <- Start(dat = list(list(path = path_obs)), #' var = 'tos', #' sdate = sdates, #' time = 'all', diff --git a/R/Compute.R b/R/Compute.R index 7e2125f..0e8d42c 100644 --- a/R/Compute.R +++ b/R/Compute.R @@ -58,7 +58,7 @@ #' data_path <- system.file('extdata', package = 'startR') #' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') #' sdates <- c('200011', '200012') -#' data <- Start(dat = path_obs, +#' data <- Start(dat = list(list(path = path_obs)), #' var = 'tos', #' sdate = sdates, #' time = 'all', diff --git a/R/NcDimReader.R b/R/NcDimReader.R index 7f8fab1..9b11a59 100644 --- a/R/NcDimReader.R +++ b/R/NcDimReader.R @@ -41,6 +41,7 @@ #'@seealso \code{\link{NcOpener}} \code{\link{NcDataReader}} #' \code{\link{NcCloser}} \code{\link{NcVarReader}} #'@import easyNCDF +#'@importFrom stats setNames #'@export NcDimReader <- function(file_path = NULL, file_object = NULL, file_selectors = NULL, inner_indices = NULL, diff --git a/R/Sort.R b/R/Sort.R index 4bcaa2c..4f74d68 100644 --- a/R/Sort.R +++ b/R/Sort.R @@ -30,7 +30,7 @@ #' data_path <- system.file('extdata', package = 'startR') #' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') #' sdates <- c('200011', '200012') -#' data <- Start(dat = path_obs, +#' data <- Start(dat = list(list(path = path_obs)), #' var = 'tos', #' sdate = sdates, #' time = 'all', diff --git a/R/Start.R b/R/Start.R index 773f9e7..62d7e8c 100644 --- a/R/Start.R +++ b/R/Start.R @@ -755,7 +755,7 @@ #' data_path <- system.file('extdata', package = 'startR') #' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') #' sdates <- c('200011', '200012') -#' data <- Start(dat = path_obs, +#' data <- Start(dat = list(list(path = path_obs)), #' var = 'tos', #' sdate = sdates, #' time = 'all', @@ -766,7 +766,9 @@ #' time = 'sdate'), #' retrieve = FALSE) #' -#'@import bigmemory multiApply parallel abind future +#'@import bigmemory multiApply parallel abind future +#'@importFrom utils str +#'@importFrom stats na.omit setNames #'@importFrom ClimProjDiags Subset #'@export Start <- function(..., # dim = indices/selectors, @@ -1456,7 +1458,7 @@ Start <- function(..., # dim = indices/selectors, if (!(dim_name %in% pattern_dims)) { if (is.null(attr(dat_selectors[[dim_name]], 'values')) || is.null(attr(dat_selectors[[dim_name]], 'indices'))) { - flag <- ((dat_selectors[[dim_name]] %in% c('all', 'first', 'last')) || + flag <- ((any(dat_selectors[[dim_name]] %in% c('all', 'first', 'last'))) || (is.numeric(unlist(dat_selectors[[dim_name]])))) attr(dat_selectors[[dim_name]], 'values') <- !flag attr(dat_selectors[[dim_name]], 'indices') <- flag @@ -2317,7 +2319,7 @@ Start <- function(..., # dim = indices/selectors, # In the special case that the selectors for a dimension are 'all', 'first', ... # and chunking (dividing in more than 1 chunk) is requested, the selectors are # replaced for equivalent indices. - if ((dat[[i]][['selectors']][[inner_dim]][[1]] %in% c('all', 'first', 'last')) && + if ((any(dat[[i]][['selectors']][[inner_dim]][[1]] %in% c('all', 'first', 'last'))) && (chunks[[inner_dim]]['n_chunks'] != 1)) { selectors <- dat[[i]][['selectors']][[inner_dim]][[1]] if (selectors == 'all') { diff --git a/R/Step.R b/R/Step.R index 1dd6829..e5d7304 100644 --- a/R/Step.R +++ b/R/Step.R @@ -30,7 +30,7 @@ #' data_path <- system.file('extdata', package = 'startR') #' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') #' sdates <- c('200011', '200012') -#' data <- Start(dat = path_obs, +#' data <- Start(dat = list(list(path = path_obs)), #' var = 'tos', #' sdate = sdates, #' time = 'all', diff --git a/R/indices.R b/R/indices.R index ddcf063..a7ad7a0 100644 --- a/R/indices.R +++ b/R/indices.R @@ -14,7 +14,7 @@ #' data_path <- system.file('extdata', package = 'startR') #' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') #' sdates <- c('200011', '200012') -#' data <- Start(dat = path_obs, +#' data <- Start(dat = list(list(path = path_obs)), #' var = 'tos', #' sdate = sdates, #' time = 'all', diff --git a/R/values.R b/R/values.R index 2b4927b..592aa1d 100644 --- a/R/values.R +++ b/R/values.R @@ -13,7 +13,7 @@ #' data_path <- system.file('extdata', package = 'startR') #' path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') #' sdates <- c('200011', '200012') -#' data <- Start(dat = path_obs, +#' data <- Start(dat = list(list(path = path_obs)), #' var = 'tos', #' sdate = sdates, #' time = 'all', diff --git a/man/AddStep.Rd b/man/AddStep.Rd index a0ecfaf..3eece05 100644 --- a/man/AddStep.Rd +++ b/man/AddStep.Rd @@ -27,7 +27,7 @@ create the complete workflow. It is the final step before data processing. data_path <- system.file('extdata', package = 'startR') path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') sdates <- c('200011', '200012') - data <- Start(dat = path_obs, + data <- Start(dat = list(list(path = path_obs)), var = 'tos', sdate = sdates, time = 'all', diff --git a/man/CDORemapper.Rd b/man/CDORemapper.Rd index d3f6770..4f56baa 100644 --- a/man/CDORemapper.Rd +++ b/man/CDORemapper.Rd @@ -42,7 +42,8 @@ perform the interpolation, hence CDO is required to be installed. data_path <- system.file('extdata', package = 'startR') path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') sdates <- c('200011') - data <- Start(dat = path_obs, + \donttest{ + data <- Start(dat = list(list(path = path_obs)), var = 'tos', sdate = sdates, time = 'all', @@ -59,7 +60,7 @@ perform the interpolation, hence CDO is required to be installed. longitude = 'dat', time = 'sdate'), retrieve = FALSE) - +} } \seealso{ \code{\link[s2dverification]{CDORemap}} diff --git a/man/Collect.Rd b/man/Collect.Rd index 54c85ab..44a7dee 100644 --- a/man/Collect.Rd +++ b/man/Collect.Rd @@ -39,7 +39,7 @@ of results as one data array when the execution is done. See more details on data_path <- system.file('extdata', package = 'startR') path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') sdates <- c('200011', '200012') - data <- Start(dat = path_obs, + data <- Start(dat = list(list(path = path_obs)), var = 'tos', sdate = sdates, time = 'all', diff --git a/man/Compute.Rd b/man/Compute.Rd index 956992b..e07106a 100644 --- a/man/Compute.Rd +++ b/man/Compute.Rd @@ -79,7 +79,7 @@ arrays and additional metadata. data_path <- system.file('extdata', package = 'startR') path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') sdates <- c('200011', '200012') - data <- Start(dat = path_obs, + data <- Start(dat = list(list(path = path_obs)), var = 'tos', sdate = sdates, time = 'all', diff --git a/man/Sort.Rd b/man/Sort.Rd index 2b8d6f6..9ab516e 100644 --- a/man/Sort.Rd +++ b/man/Sort.Rd @@ -43,7 +43,7 @@ range. This is useful for circular coordinates such as the Earth longitudes. data_path <- system.file('extdata', package = 'startR') path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') sdates <- c('200011', '200012') - data <- Start(dat = path_obs, + data <- Start(dat = list(list(path = path_obs)), var = 'tos', sdate = sdates, time = 'all', diff --git a/man/Start.Rd b/man/Start.Rd index ba88828..d69562c 100644 --- a/man/Start.Rd +++ b/man/Start.Rd @@ -788,7 +788,7 @@ file format. data_path <- system.file('extdata', package = 'startR') path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') sdates <- c('200011', '200012') - data <- Start(dat = path_obs, + data <- Start(dat = list(list(path = path_obs)), var = 'tos', sdate = sdates, time = 'all', diff --git a/man/Step.Rd b/man/Step.Rd index 47b6c39..65f0c72 100644 --- a/man/Step.Rd +++ b/man/Step.Rd @@ -46,7 +46,7 @@ to the expected order for this function. data_path <- system.file('extdata', package = 'startR') path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') sdates <- c('200011', '200012') - data <- Start(dat = path_obs, + data <- Start(dat = list(list(path = path_obs)), var = 'tos', sdate = sdates, time = 'all', diff --git a/man/indices.Rd b/man/indices.Rd index 20f2d99..a3d85ea 100644 --- a/man/indices.Rd +++ b/man/indices.Rd @@ -25,7 +25,7 @@ original data. See details in the documentation of the parameter \code{\dots} data_path <- system.file('extdata', package = 'startR') path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') sdates <- c('200011', '200012') - data <- Start(dat = path_obs, + data <- Start(dat = list(list(path = path_obs)), var = 'tos', sdate = sdates, time = 'all', diff --git a/man/values.Rd b/man/values.Rd index 517963c..3300f19 100644 --- a/man/values.Rd +++ b/man/values.Rd @@ -25,7 +25,7 @@ coordinate variable. See details in the documentation of the parameter data_path <- system.file('extdata', package = 'startR') path_obs <- file.path(data_path, 'obs/monthly_mean/$var$/$var$_$sdate$.nc') sdates <- c('200011', '200012') - data <- Start(dat = path_obs, + data <- Start(dat = list(list(path = path_obs)), var = 'tos', sdate = sdates, time = 'all', -- GitLab From 0a5f5f1358df5792109bd9fa3e6c813c9ed7a6f4 Mon Sep 17 00:00:00 2001 From: aho Date: Thu, 6 Aug 2020 13:27:28 +0200 Subject: [PATCH 60/60] Update NEWS.md for v2.0.0 --- NEWS.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/NEWS.md b/NEWS.md index baf436e..e38cd18 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,3 +1,7 @@ +# startR v2.0.0 (Release date: 2020-08-06) +- Adopt Roxygen2 documentation format +- Remove Subset() to avoid duplicated function. Use ClimProjDiags::Subset instead. + # startR v1.0.3 (Release date: 2020-06-19) - Bugfix for requiring the repetitive values from a single file when using 'merge_across_dims' and 'split_multiselected_dims'. The value positions were not -- GitLab