gnu: Add numpy-bootstrap.
* gnu/packages/python.scm (python-numpy-bootstrap, python2-numpy-bootstrap): New file-local variables.
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@ -35,6 +35,8 @@
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#:use-module (gnu packages readline)
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#:use-module (gnu packages openssl)
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#:use-module (gnu packages elf)
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#:use-module (gnu packages maths)
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#:use-module (gnu packages gcc)
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#:use-module (gnu packages pkg-config)
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#:use-module (gnu packages databases)
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#:use-module (gnu packages zip)
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@ -1873,3 +1875,60 @@ writing C extensions for Python as easy as Python itself.")
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(name "python2-cython")
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(inputs
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`(("python-2" ,python-2))))) ; this is not automatically changed
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;; This version of numpy is missing the documentation and is only used to
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;; build matplotlib which is required to build numpy's documentation.
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(define python-numpy-bootstrap
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(package
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(name "python-numpy-bootstrap")
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(version "1.9.1")
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(source
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(origin
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(method url-fetch)
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(uri (string-append "mirror://sourceforge/numpy"
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"/numpy-" version ".tar.gz"))
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(sha256
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(base32
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"070ybfvpgfmiz2hs94x445hvkh9dh52nyi0m8jp5kdihgvhbnx80"))))
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(build-system python-build-system)
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(inputs
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`(("python-nose" ,python-nose)
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("atlas" ,atlas)))
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(native-inputs
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`(("gfortran" ,gfortran-4.8)))
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(arguments
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`(#:phases
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(alist-cons-before
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'build 'set-environment-variables
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(lambda* (#:key inputs #:allow-other-keys)
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(let* ((atlas-threaded
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(string-append (assoc-ref inputs "atlas")
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"/lib/libtatlas.so"))
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;; On single core CPUs only the serial library is created.
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(atlas-lib
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(if (file-exists? atlas-threaded)
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atlas-threaded
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(string-append (assoc-ref inputs "atlas")
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"/lib/libsatlas.so"))))
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(setenv "ATLAS" atlas-lib)))
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;; Tests can only be run after the library has been installed and not
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;; within the source directory.
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(alist-cons-after
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'install 'check
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(lambda _
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(with-directory-excursion "/tmp"
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(zero? (system* "python" "-c" "import numpy; numpy.test()"))))
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(alist-delete
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'check
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%standard-phases)))))
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(home-page "http://www.numpy.org/")
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(synopsis "Fundamental package for scientific computing with Python")
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(description "NumPy is the fundamental package for scientific computing
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with Python. It contains among other things: a powerful N-dimensional array
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object, sophisticated (broadcasting) functions, tools for integrating C/C++
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and Fortran code, useful linear algebra, Fourier transform, and random number
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capabilities.")
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(license bsd-3)))
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(define python2-numpy-bootstrap
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(package-with-python2 python-numpy-bootstrap))
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