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-rw-r--r--var/spack/repos/builtin/packages/py-spgl1/package.py30
1 files changed, 15 insertions, 15 deletions
diff --git a/var/spack/repos/builtin/packages/py-spgl1/package.py b/var/spack/repos/builtin/packages/py-spgl1/package.py
index 054e7aeb9d..a53ac3a1b0 100644
--- a/var/spack/repos/builtin/packages/py-spgl1/package.py
+++ b/var/spack/repos/builtin/packages/py-spgl1/package.py
@@ -8,23 +8,23 @@ from spack.package import *
class PySpgl1(PythonPackage):
"""SPGL1 is a solver for large-scale one-norm regularized least squares. It is
- designed to solve any of the following three problems: Basis pursuit denoise
- (BPDN): minimize ||x||_1 subject to ||Ax - b||_2 <= sigma, Basis pursuit (BP):
- minimize ||x||_1 subject to Ax = b Lasso: minimize ||Ax - b||_2 subject to
- ||x||_1 <= tau, The matrix A can be defined explicitly, or as an operator that
- returns both both Ax and A'b. SPGL1 can solve these three problems in both
- the real and complex domains."""
+ designed to solve any of the following three problems: Basis pursuit denoise
+ (BPDN): minimize ||x||_1 subject to ||Ax - b||_2 <= sigma, Basis pursuit (BP):
+ minimize ||x||_1 subject to Ax = b Lasso: minimize ||Ax - b||_2 subject to
+ ||x||_1 <= tau, The matrix A can be defined explicitly, or as an operator that
+ returns both both Ax and A'b. SPGL1 can solve these three problems in both
+ the real and complex domains."""
pypi = "spgl1/spgl1-0.0.2.tar.gz"
- git = "https://github.com/drrelyea/spgl1.git"
+ git = "https://github.com/drrelyea/spgl1.git"
- maintainers = ['archxlith']
+ maintainers = ["archxlith"]
- version('master', branch='master')
- version('0.0.2', sha256='a2a524724097bad18dd88a306dbcc99124c6c46ffcbb1a96d6ba6dd6fe2f7404')
- version('0.0.1', sha256='24ff37ab5be57f0ccf14c53090b171e019c3c12799c80f368e628e1cc9ac9a1f')
+ version("master", branch="master")
+ version("0.0.2", sha256="a2a524724097bad18dd88a306dbcc99124c6c46ffcbb1a96d6ba6dd6fe2f7404")
+ version("0.0.1", sha256="24ff37ab5be57f0ccf14c53090b171e019c3c12799c80f368e628e1cc9ac9a1f")
- depends_on('python@3.6:', type=('build', 'run'))
- depends_on('py-numpy@1.15:', type=('build', 'run'))
- depends_on('py-scipy', type=('build', 'run'))
- depends_on('py-setuptools', type='build')
+ depends_on("python@3.6:", type=("build", "run"))
+ depends_on("py-numpy@1.15:", type=("build", "run"))
+ depends_on("py-scipy", type=("build", "run"))
+ depends_on("py-setuptools", type="build")