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-rw-r--r--var/spack/repos/builtin/packages/r-gdsfmt/package.py34
1 files changed, 20 insertions, 14 deletions
diff --git a/var/spack/repos/builtin/packages/r-gdsfmt/package.py b/var/spack/repos/builtin/packages/r-gdsfmt/package.py
index 960f98f1f4..b388b0d373 100644
--- a/var/spack/repos/builtin/packages/r-gdsfmt/package.py
+++ b/var/spack/repos/builtin/packages/r-gdsfmt/package.py
@@ -7,22 +7,28 @@ from spack import *
class RGdsfmt(RPackage):
- """This package provides a high-level R interface to CoreArray Genomic
- Data Structure (GDS) data files, which are portable across platforms
- with hierarchical structure to store multiple scalable array-oriented
- data sets with metadata information. It is suited for large-scale
- datasets, especially for data which are much larger than the available
- random-access memory. The gdsfmt package offers the efficient
- operations specifically designed for integers of less than 8 bits,
- since a diploid genotype, like single-nucleotide polymorphism (SNP),
- usually occupies fewer bits than a byte. Data compression and
- decompression are available with relatively efficient random access.
- It is also allowed to read a GDS file in parallel with multiple R
- processes supported by the package parallel."""
+ """R Interface to CoreArray Genomic Data Structure (GDS) Files.
- homepage = "http://bioconductor.org/packages/gdsfmt/"
+ This package provides a high-level R interface to CoreArray Genomic Data
+ Structure (GDS) data files, which are portable across platforms with
+ hierarchical structure to store multiple scalable array-oriented data
+ sets with metadata information. It is suited for large-scale datasets,
+ especially for data which are much larger than the available random-
+ access memory. The gdsfmt package offers the efficient operations
+ specifically designed for integers of less than 8 bits, since a diploid
+ genotype, like single-nucleotide polymorphism (SNP), usually occupies
+ fewer bits than a byte. Data compression and decompression are available
+ with relatively efficient random access. It is also allowed to read a
+ GDS file in parallel with multiple R processes supported by the package
+ parallel."""
+
+ homepage = "https://bioconductor.org/packages/gdsfmt"
git = "https://git.bioconductor.org/packages/gdsfmt.git"
+ version('1.20.0', commit='b1fbaba0a5ace3dc45daecc85168651cd85dce00')
+ version('1.18.1', commit='b911b953e9db7988e93ec2010b0ab1e384d073c9')
+ version('1.16.0', commit='49b011452585e432b983b68466a230c9b71d8a95')
version('1.14.1', commit='15743647b7eea5b82d3284858b4591fb6e59959d')
+ version('1.12.0', commit='d705a95b0bea7be2a2b37e939f45017337ba0fb6')
- depends_on('r@3.4.0:3.4.9', when='@1.14.1')
+ depends_on('r@2.15.0:', type=('build', 'run'))