various pkgs: use https homepage when http redirects (github.io) (#47974)
* various pkgs: use https homepage when http redirects (github.io) * py-owslib: fix homepage * py-owslib: fix homepage to rtd * h5io: fix homepage
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@ -9,7 +9,7 @@
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class Freesasa(AutotoolsPackage):
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class Freesasa(AutotoolsPackage):
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"""C-library for calculating Solvent Accessible Surface Areas"""
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"""C-library for calculating Solvent Accessible Surface Areas"""
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homepage = "http://freesasa.github.io"
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homepage = "https://freesasa.github.io"
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url = "https://github.com/mittinatten/freesasa/releases/download/2.1.2/freesasa-2.1.2.zip"
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url = "https://github.com/mittinatten/freesasa/releases/download/2.1.2/freesasa-2.1.2.zip"
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git = "https://github.com/mittinatten/freesasa.git"
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git = "https://github.com/mittinatten/freesasa.git"
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maintainers("RMeli")
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maintainers("RMeli")
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@ -17,7 +17,7 @@ class Hypar(AutotoolsPackage):
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forms of the hyperbolic flux, parabolic flux, source terms, upwinding functions, etc.
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forms of the hyperbolic flux, parabolic flux, source terms, upwinding functions, etc.
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"""
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"""
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homepage = "http://hypar.github.io/"
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homepage = "https://hypar.github.io/"
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url = "https://github.com/debog/hypar/archive/refs/tags/v4.1.tar.gz"
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url = "https://github.com/debog/hypar/archive/refs/tags/v4.1.tar.gz"
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git = "https://github.com/debog/hypar.git"
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git = "https://github.com/debog/hypar.git"
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@ -9,7 +9,7 @@
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class Pblat(MakefilePackage):
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class Pblat(MakefilePackage):
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"""Parallelized blat with multi-threads support"""
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"""Parallelized blat with multi-threads support"""
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homepage = "http://icebert.github.io/pblat/"
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homepage = "https://icebert.github.io/pblat/"
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url = "https://github.com/icebert/pblat/archive/refs/tags/2.5.1.tar.gz"
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url = "https://github.com/icebert/pblat/archive/refs/tags/2.5.1.tar.gz"
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# `pblat` shares the license for Jim Kent's `blat`. For-profit users must visit:
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# `pblat` shares the license for Jim Kent's `blat`. For-profit users must visit:
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@ -13,7 +13,7 @@ class PyGpyopt(PythonPackage):
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Learning algorithms. It is able to handle large data sets via sparse
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Learning algorithms. It is able to handle large data sets via sparse
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Gaussian process models."""
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Gaussian process models."""
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homepage = "http://sheffieldml.github.io/GPyOpt/"
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homepage = "https://sheffieldml.github.io/GPyOpt/"
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pypi = "GPyOpt/GPyOpt-1.2.6.tar.gz"
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pypi = "GPyOpt/GPyOpt-1.2.6.tar.gz"
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license("BSD-3-Clause")
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license("BSD-3-Clause")
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@ -9,7 +9,7 @@
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class PyH5io(PythonPackage):
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class PyH5io(PythonPackage):
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"""Python Objects Onto HDF5."""
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"""Python Objects Onto HDF5."""
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homepage = "http://h5io.github.io"
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homepage = "https://github.com/h5io/h5io"
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pypi = "h5io/h5io-0.1.7.tar.gz"
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pypi = "h5io/h5io-0.1.7.tar.gz"
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git = "https://github.com/h5io/h5io.git"
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git = "https://github.com/h5io/h5io.git"
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@ -11,7 +11,7 @@ class PyOwslib(PythonPackage):
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Consortium (OGC) web service (hence OWS) interface standards, and their
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Consortium (OGC) web service (hence OWS) interface standards, and their
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related content models."""
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related content models."""
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homepage = "http://http://geopython.github.io/OWSLib/#installation"
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homepage = "https://owslib.readthedocs.io/en/latest/"
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pypi = "OWSLib/OWSLib-0.16.0.tar.gz"
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pypi = "OWSLib/OWSLib-0.16.0.tar.gz"
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license("BSD-3-Clause")
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license("BSD-3-Clause")
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@ -13,7 +13,7 @@ class PyPhydms(PythonPackage):
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codon models (ExpCM) for phylogenetic inference and the detection of
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codon models (ExpCM) for phylogenetic inference and the detection of
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biologically interesting selection."""
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biologically interesting selection."""
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homepage = "http://jbloomlab.github.io/phydms"
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homepage = "https://jbloomlab.github.io/phydms"
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pypi = "phydms/phydms-2.4.1.tar.gz"
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pypi = "phydms/phydms-2.4.1.tar.gz"
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license("GPL-3.0-or-later")
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license("GPL-3.0-or-later")
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