Known issues: https://github.com/PredictiveEcology/reproducible/issues
postProcess now uses a simpler single call to gdalwarp, if available, for RasterLayer class to accomplish cropInputs, projectInputs, maskInputs, and writeOutputs all at once. This should be faster, simpler and, perhaps, more stable. It will only be invoked if the RasterLayer is too large to fit into RAM. To force it to be used the user must set useGDAL = "force" in prepInputs or postProcess or globally with options("reproducible.useGDAL" = "force")postProcess when using the new gdalwarp, has better persistence of colour table, and NA values as these are kept with better reliabilityCache now works as expected (e.g., with parallel processing, it will avoid collisions) with SQLite thanks to suggestion here: https://stackoverflow.com/a/44445010Raster class objects to account for more of the metadata (including the colortable). This will change the digest value of all Raster layers, causing re-run of CacheRequire, pkgDep, trimVersionNumber, normPath, checkPath that were moved to Require package. For backwards compatibility, these are imported and reexportedfile.move used to rename/copy files across disks (a situation where file.rename would fail)DBI type functions now have default cachePath of getOption("reproducible.cachePath")Cache(prepInputs, ... on a file-backed Raster* class object now gives the non-Cache repository folder as the filename(returnRaster). Previously, the return object would contain the cache repository as the folder for the file-backed Raster*backports, memoise, quickPlot, R.utils, remotes, tools, and versions; moved to Suggests: fastdigest, gdalUtils, googledrive, httr, qs, rgdal, sf, testthat; added: Require. Now there are 12 non-base packages listed in Imports. This is down from 31 prior to Ver 1.0.0.file.link not file.symlink for saveToCache. This would have resulted in C Stack overflow errors due to missing original file in the file.symlinkunzip when extracting large (>= 4GB) files (#145, @tati-micheletti)file.link does not succeed.raster) are updated.options('reproducible.cacheSaveFormat') on the fly; cache will look for the file by cacheId and write it using options('reproducible.cacheSaveFormat'). If it is in another format, Cache will load it and resave it with the new format. Experimental still.Copy methods for refClass objects, SQLite and moved environment method into ANY as it would be dispatched for unknown classes that inherit from environment, of which there are many and this should be interceptedRequire can now handle minimum version numbers, e.g., Require("bit (>=1.1-15.2)"); this can be worked into downstream tools. Still experimental.file.link or file.symlink if an existing Cache entry with identical output exists and it is large (currently 1e6 bytes); this will save disk space.elapsedTimeDigest, elapsedTimeFirstRun, and elapsedTimeLoad, respectively.preProcess). Includes 2 new functions, tempdir2 and tempfile2 for use with reproducible packagereproducible.tempPath, which is used for the new control of temporary files. Defaults to file.path(tempdir(), "reproducible"). This feature was requested to help manage large amounts of temporary objects that were not being easily and automatically cleaneddrv and conn; user may need to manually call movedCache if cache is not responding correctly. File-backed Rasters are automatically updated with new paths.Raster* will have their filenames updated on the fly during a Cache recovery. User doesn’t need to do anything.postProcess now will perform simple tests and skip cropInputs and projectInputs with a message if it can, rather than using Cache to “skip”. This should speed up postProcess in many cases.Cache has change. Now, cacheId is shown in all cases, making it easier to identify specific items in the cache.Copy only creates a temporary directory for filebacked rasters; previously any Copy command was creating a temporary directory, regardless of whether it was neededcropInputs.spatialObjects had a bug when object was a large non-Raster class.cropInputs may have failed due to “self intersection” error when x was a SpatialPolygons* object; now catches error, runs fixErrors and retries crop. Great reprex by @tati-micheletti. Fixed in commit 89e652ef111af7de91a17a613c66312c1b848847.Filenames bugfix related to RasterBrickprepInputs does a better job of keeping all temporary files in a temporary folder; and cleans up after itself better.prepInputs now will not show message that it is loading object into R if fun = NULL (#135).options("reproducible.useDBI" = FALSE)DBI package directly, without archivist. This has much improved speed.options("reproducible.cacheSaveFormat"). This can be either rds (default) or qs. All cached objects will be saved with this format. Previously it was rda.qs::qsave. In many cases, this has much improved speed and file sizes compared to rds; however, testing across a wide range of conditions will occur before it becomes the default.... because Cache is now much faster, the default is to turn memoising off, via options("reproducible.useMemoise" = FALSE). In cases of large objects, memoising should still be faster, so user can still activate it, setting the option to TRUE.postProcess arg useGDAL can now take "force" as the default behaviour is to not use GDAL if the problem can fit into RAM and sf or raster tools will be faster than GDAL toolsuseCloud argument in Cache and family has slightly modified functionality (see ?Cache new section useCloud) and now has more tests including edge cases, such as useCloud = TRUE, useCache = 'overwrite'. The cloud version now will also follow the "overwrite" command.archivist; moved to Suggests.bitops, dplyr, fasterize, flock, git2r, lubridate, RcppArmadillo, RCurl and tidyselect. Some of these went to Suggests.postProcess calls that use GDAL made more robust (including #93).dplyr as a direct dependency. It is still an indirect dependency through DiagrammeRreproducible.showSimilarDepth allows for a deeper assessment of nested lists for differences between the nearest cached object and the present object. This greater depth may allow more fine tuned understanding of why an object is not correctly cachingoptions("reproducible.futurePlan") to something other than FALSE, then it will show download progress if the file is “large”.googledrive v 1.0.0 (#119)pkgDep2, a new convenience function to get the dependencies of the “first order” dependencies.useCache, used in many functions (incl Cache, postProcess) can now be numeric, a qualitative indicator of “how deep” nested Cache calls should set useCache = TRUE – implemented as 1 or 2 in postProcess currently. See ?CachepkgDep was becoming unreliable for unknown reasons. It has been reimplemented, much faster, without memoising. The speed gains should be immediately noticeable (6 second to 0.1 second for pkgDep("reproducible"))retry to use exponential backoff when attempting to access online resources (#121)useCloud and cloudFolderID. This is a new approach to cloud caching. It has been tested with file backed RasterLayer, RasterStack and RasterBrick and all normal R objects. It will not work for any other class of disk-backed files, e.g., ff or bigmatrix, nor is it likely to work for R6 class objects.Cache, i.e., useCache and cloudFolderIDdownloadData from Google Drive now protects against HTTP2 error by capturing error and retrying. This is a curl issue for interrupted connections.rcnst errors on R-devel, tested using devtools::check(env_vars = list("R_COMPILE_PKGS"=1, "R_JIT_STRATEGY"=4, "R_CHECK_CONSTANTS"=5))cacheRepo: getArtifact, getCacheId, getUserTagsretry, a new function, wraps try with an explicit attempt to retry the same code upon error. Useful for flaky functions, such as googldrive::drive_download which sometimes fails due to curl HTTP2 error.Rcpp functionality as the functions were no longer faster than their R base alternatives.prepInputs was not correctly passing useCachecropInputs was reprojecting extent of y as a time saving approach, but this was incorrect if studyArea is a SpatialPolygon that is not close to filling the extent. It now reprojects studyArea directly which will be slower, but correct. (#93)CHECKSUMS.txt should now be ordered consistently across operating systems (note: base::order will not succeed in doing this –> now using .orderDotsUnderscoreFirst)cloudSyncCache has a new argument: cacheIds. Now user can control entries by cacheId, so can delete/upload individual objects by cacheIdpostProcess family for sf class objectscloudCache bugfixes for more casestibble from Imports as it’s no longer being used%>% pipe that was long ago deprecated. User should use %C% if they want a pipe that is Cache-aware. See examples.options descriptions now in reproducible, see ?reproducibleOptionscacheRepo and options("reproducible.cachePath") can take a vector of paths. Similar to how .libPaths() works for libraries, Cache will search first in the first entry in the cacheRepo, then the second etc. until it finds an entry. It will only write to the first entry.options("reproducible.useCache" = "devMode"). The point of this mode is to facilitate using the Cache when functions and datasets are continually in flux, and old Cache entries are likely stale very often. In devMode, the cache mechanism will work as normal if the Cache call is the first time for a function OR if it successfully finds a copy in the cache based on the normal Cache mechanism. It differs from the normal Cache if the Cache call does not find a copy in the cacheRepo, but it does find an entry that matches based on userTags. In this case, it will delete the old entry in the cacheRepo (identified based on matching userTags), then continue with normal Cache. For this to work correctly, userTags must be unique for each function call. This should be used with caution as it is still experimental.options("reproducible.useNewDigestAlgorithm" = FALSE). There is a message of this change on package load.cloud* functions, especially cloudCache which allows sharing of Cache among collaborators. Currently only works with googledriveassessDataType to consolidate assessDataTypeGDAL and assessDataType into single function (#71, @ianmseddy)cc: new function – a shortcut for some commonly used options for clearCache()prepInputs to handle .rar archives, on systems with correct binaries to deal with them (#86, @tati-micheletti)fastdigest::fastdigest as it is not return the identical hash across operating systemsprepInputs on GIS objects that don’t use raster::raster to load object were skipping postProcess. Fixed.prepInputs would cause virtually all entries in CHECKSUMS.txt to be deleted. 2 cases where this happened were identified and corrected.data.table class objects would give an error sometimes due to use of attr(DT). Internally, attributes are now added with data.table::setattr to deal with this.gdalwarp from prostProcess now correctly matches extent (#73, @tati-micheletti)preProcess (#92, @tati-micheletti)remotes to Imports and removed devtoolsNew value possible for options(reproducible.useCache = 'overwrite'), which allows use of Cache in cases where the function call has an entry in the cacheRepo, will purge it and add the output of the current call instead.
New option reproducible.inputPaths (default NULL) and reproducible.inputPathsRecursive (default FALSE), which will be used in prepInputs as possible directory sources (searched recursively or not) for files being downloaded/extracted/prepared. This allows the using of local copies of files in (an)other location(s) instead of downloading them. If local location does not have the required files, it will proceed to download so there is little cost in setting this option. If files do exist on local system, the function will attempt to use a hardlink before making a copy.
dlGoogle() now sets options(httr_oob_default = TRUE) if using Rstudio Server.
Files in CHECKSUMS now sorted alphabetically.
Checksums can now have a CHECKSUMS.txt file located in a different place than the destinationPath
Attempt to select raster resampling method based on raster type if no method supplied (#63, @ianmseddy)
projectInputs
new function assessDataTypeGDAL, used in postProcess, to identify smallest datatype for large Raster* objects passed to GDAL system call
Raster objects, enact gdalwarp system call if raster::canProcessInMemory(x,4) = FALSE for faster and memory-safe processingRaster objects, including factor rastersextractFromArchive for large (>2GB) zip files. In the R help manual, unzip fails for zip files >2GB. This uses a system call if the zip file is too large and fails using base::unzip.raster::getData issues.Cache() when deeply nested, due to grep(sys.calls(), ...) that would take long and hang.preProcess(url = NULL) (#65, @tati-micheletti)clearCache (#67), especially for large Raster objects that are stored as binary R files (i.e., .rda)raster package changes in development version of raster packageraster::projectRaster.robustDigest now does not include Cache-added attributespreProcess() (#68, @tati-micheletti)future to Suggests.future for Cache saving to SQLite database, via options("reproducible.futurePlan"), if the future package is installed. This is FALSE by default.do.call function is Cached, previously, it would be labelled in the database as do.call. Now it attempts to extract the actual function being called by the do.call. Messaging is similarly changed.reproducible.ask, logical, indicating whether clearCache should ask for deletions when in an interactive sessionprepInputs, preProcess and downloadFile now have dlFun, to pass a custom function for downloading (e.g., “raster::getData”)prepInputs will automatically use readRDS if the file is a .rds.prepInputs will return a list if fun = "base::load", with a message; can still pass an envir to obtain standard behaviour of base::load.clearCache - new argument ask.assessDataType, used in postProcess, to identify smallest datatype for Raster* objects, if user does not pass an explicit datatype in prepInputs or postProcess (#39, @CeresBarros).git2r update (@stewid, #36)..prepareRasterBackedFile – now will postpend an incremented numeric to a cached copy of a file-backed Raster object, if it already exists. This mirrors the behaviour of the .rda file. Previously, if two Cache events returned the same file name backing a Raster object, even if the content was different, it would allow the same file name. If either cached object was deleted, therefore, it would cause the other one to break as its file-backing would be missing.spades.XXX and should have been reproducible.XXX.copyFile did not perform correctly under all cases; now better handling of these cases, often sending to file.copy (slower, but more reliable)extractFromArchive needed a new Checksum function call under some circumstancesextractFromArchive – when dealing with nested zips, not all args were passed in recursively (#37, @CeresBarros)prepInputs – arguments that were same as Cache were not being correctly passed internally to Cache, and if wrapped in Cache, it was not passed into prepInputs. Fixed..prepareFileBackedRaster was failing in some cases (specifically if it was inside a do.call) (#40, @CeresBarros).Cache was failing under some cases of Cache(do.call, ...). Fixed.Cache – when arguments to Cache were the same as the arguments in FUN, Cache would “take” them. Now, they are correctly passed to the FUN.preProcess – writing to checksums may have produced a warning if CHECKSUMS.txt was not present. Now it does not.new functions:
convertPaths and convertRasterPaths to assist with renaming moved files.prepInputs – new features
alsoExtract now has more options (NULL, NA, "similar") and defaults to extracting all files in an archive (NULL).postProcess altogether if no studyArea or rasterToMatch. Previously, this would invoke Cache even if there was nothing to postProcess.copyFile correctly handles directory names containing spaces.makeMemoisable fixed to handle additional edge cases.new functions:
prepInputs to aid in data downloading and preparation problems, solved in a reproducible, Cache-aware way.postProcess which is a wrapper for sequences of several other new functions (cropInputs, fixErrors, projectInputs, maskInputs, writeOutputs, and determineFilename)downloadFile can handle Google Drive and ftp/http(s) fileszipCache and mergeCachecompareNA does comparisons with NA as a possible value e.g., compareNA(c(1,NA), c(2, NA)) returns FALSE, TRUECache – new features:
showSimilar, verbose which can help with debugginguseCache which allows turning caching on and off at a high level (e.g., options(“useCache”))cacheId which allows user to hard code a result from a CachedigestPathContent –> quick, compareRasterFileLength –> lengthCache function calls, unless explicitly set on the inner functionsuserTags added automatically to cache entries so much more powerful searching via showCache(userTags="something")checksums now returns a data.table with the same columns whether write = TRUE or write = FALSE.
clearCache and showCache now give messages and require user intervention if request to clearCache would be large quantities of data deleted
memoise::memoise now used on 3rd run through an identical Cache call, dramatically speeding up in most cases
new options: reproducible.cachePath, reproducible.quick, reproducible.useMemoise, reproducible.useCache, reproducible.useragent, reproducible.verbose
asPath has a new argument indicating how deep should the path be considered when included in caching (only relevant when quick = TRUE)
New vignette on using Cache
Cache is parallel-safe, meaning there are tryCatch around every attempt at writing to SQLite database so it can be used safely on multi-threaded machines
bug fixes, unit tests, more imports for packages e.g., stats
updates for R 3.6.0 compact storage of sequence vectors
experimental pipes (%>%, %C%) and assign %<%
several performance enhancements
mergeCache: a new function to merge two different Cache repositories
memoise::memoise is now used on loadFromLocalRepo, meaning that the 3rd time Cache() is run on the same arguments (and the 2nd time in a session), the returned Cache will be from a RAM object via memoise. To stop this behaviour and use only disk-based Caching, set options(reproducible.useMemoise = FALSE) .
Cache assign – %<% can be used instead of normal assign, equivalent to lhs <- Cache(rhs).
new option: reproducible.verbose, set to FALSE by default, but if set to true may help understand caching behaviour, especially for complex highly nested code.
all options now described in ?reproducible.
All Cache arguments other than FUN and … will now propagate to internal, nested Cache calls, if they are not specified explicitly in each of the inner Cache calls.
Cached pipe operator %C% – use to begin a pipe sequence, e.g., Cache() %C% ...
Cache arg sideEffect can now be a path
Cache arg digestPathContent default changed from FALSE (was for speed) to TRUE (for content accuracy)
New function, searchFull, which shows the full search path, known alternatively as “scope”, or “binding environments”. It is where R will search for a function when requested by a user.
Uses memoise::memoise for several functions (loadFromLocalRepo, pkgDep, package_dependencies, available.packages) for speed – will impact memory at the expense of speed.
New Require function
require on those 20 packages, but require does not check for dependencies and deal with them if missing: it just errors. This speed should be fast enough for many purposes.remove dplyr from Imports
Add RCurl to Imports
change name of digestRaster to .digestRaster
digestRaster affecting in-memory rastersrgdal to SuggestsSpaDES package.