gnu: eye: Sort alphabetically.
* gnu/packages/astronomy.scm (eye): Sort alphabetically. Change-Id: Ifd2af4f8101f95072339e8f801361bdfd57a539c
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@ -601,6 +601,36 @@ Standards of Fundamental Astronomy} library published by the @acronym{IAU,
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International Astronomical Union}.")
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(license license:bsd-3)))
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(define-public eye
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(package
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(name "eye")
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(version "1.4.1")
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(source
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(origin
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(method git-fetch)
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(uri (git-reference
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(url "https://github.com/astromatic/eye")
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(commit version)))
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(file-name (git-file-name name version))
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(sha256
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(base32 "1j8rpgz3fjp6fw0qmxgfqycf3n01fzxds4w12vgyrhbnk658ia41"))))
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(build-system gnu-build-system)
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(arguments
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(list
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#:configure-flags
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#~(list "CPPFLAGS=-fcommon"))) ; fix build with GCC 10
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(home-page "https://www.astromatic.net/software/eye")
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(synopsis "Small image feature detector using machine learning")
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(description
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"In @acronym{EyE, Enhance Your Extraction} an artificial neural network
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connected to pixels of a moving window (@dfn{retina}) is trained to associate
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these input stimuli to the corresponding response in one or several output
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image(s). The resulting filter can be loaded in SExtractor to operate
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complex, wildly non-linear filters on astronomical images. Typical
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applications of EyE include adaptive filtering, feature detection and cosmetic
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corrections.")
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(license license:cecill)))
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(define-public python-aplpy
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(package
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(name "python-aplpy")
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@ -1001,36 +1031,6 @@ zooming windows, star catalog access, cuts, star pick/FWHM, thumbnails, etc.")
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(prepend python-pyqt)))
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(synopsis "Qt5 image viewer build based on python-ginga library")))
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(define-public eye
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(package
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(name "eye")
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(version "1.4.1")
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(source
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(origin
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(method git-fetch)
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(uri (git-reference
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(url "https://github.com/astromatic/eye")
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(commit version)))
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(file-name (git-file-name name version))
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(sha256
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(base32 "1j8rpgz3fjp6fw0qmxgfqycf3n01fzxds4w12vgyrhbnk658ia41"))))
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(build-system gnu-build-system)
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(arguments
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(list
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#:configure-flags
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#~(list "CPPFLAGS=-fcommon"))) ; fix build with GCC 10
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(home-page "https://www.astromatic.net/software/eye")
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(synopsis "Small image feature detector using machine learning")
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(description
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"In @acronym{EyE, Enhance Your Extraction} an artificial neural network
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connected to pixels of a moving window (@dfn{retina}) is trained to associate
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these input stimuli to the corresponding response in one or several output
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image(s). The resulting filter can be loaded in SExtractor to operate
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complex, wildly non-linear filters on astronomical images. Typical
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applications of EyE include adaptive filtering, feature detection and cosmetic
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corrections.")
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(license license:cecill)))
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(define-public wcslib
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(package
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(name "wcslib")
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