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Merge pull request #648 from jakirkham/add_scipy
Add scipy
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set COMP_DIR=C:\Program Files (x86)\IntelSWTools\compilers_and_libraries\windows | ||
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set DISTUTILS_USE_SDK=1 | ||
set MSSdk=1 | ||
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if %PY_VER%==3.5 ( | ||
REM This one is essential for getting DLL linkage on Py3.5+ | ||
set "PY_VCRUNTIME_REDIST=%LIBARARY_BIN%\vcruntime140.dll" | ||
set VS=vs2015 | ||
) else ( | ||
set VS=vs2010 | ||
) | ||
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call "%COMP_DIR%\bin\ifortvars.bat" %INTEL_ARCH% %VS% | ||
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%PYTHON% setup.py install | ||
if errorlevel 1 exit 1 |
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#!/bin/bash | ||
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# Letting SciPy set these for us. | ||
# This may not be the best long term strategy, | ||
# but it works fine to get our first build. | ||
unset LDFLAGS | ||
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# Depending on our platform, shared libraries end with either .so or .dylib | ||
if [[ `uname` == 'Darwin' ]]; then | ||
DYLIB_EXT=dylib | ||
else | ||
DYLIB_EXT=so | ||
fi | ||
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# If OpenBLAS is being used, we should be able to find the libraries. | ||
# As OpenBLAS now will have all symbols that BLAS or LAPACK have, | ||
# create libraries with the standard names that are linked back to | ||
# OpenBLAS. This will make it easy for NumPy to find it. | ||
test -f "${PREFIX}/lib/libopenblas.a" && ln -fs "${PREFIX}/lib/libopenblas.a" "${PREFIX}/lib/libblas.a" | ||
test -f "${PREFIX}/lib/libopenblas.a" && ln -fs "${PREFIX}/lib/libopenblas.a" "${PREFIX}/lib/liblapack.a" | ||
test -f "${PREFIX}/lib/libopenblas.${DYLIB_EXT}" && ln -fs "${PREFIX}/lib/libopenblas.${DYLIB_EXT}" "${PREFIX}/lib/libblas.${DYLIB_EXT}" | ||
test -f "${PREFIX}/lib/libopenblas.${DYLIB_EXT}" && ln -fs "${PREFIX}/lib/libopenblas.${DYLIB_EXT}" "${PREFIX}/lib/liblapack.${DYLIB_EXT}" | ||
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$PYTHON setup.py install | ||
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# Need to clean these up as we don't want them as part of the NumPy package. | ||
# If these are part of a BLAS (e.g. ATLAS), this won't cause us any problems | ||
# as those would have been existing packages and `conda-build` would have | ||
# ignored packaging those files anyways. | ||
rm -f "${PREFIX}/lib/libblas.a" | ||
rm -f "${PREFIX}/lib/liblapack.a" | ||
rm -f "${PREFIX}/lib/libblas.${DYLIB_EXT}" | ||
rm -f "${PREFIX}/lib/liblapack.${DYLIB_EXT}" |
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{% set version = "0.17.1" %} | ||
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{% set variant = "openblas" %} | ||
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package: | ||
name: scipy | ||
version: {{ version }} | ||
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source: | ||
fn: scipy-{{ version }}.tar.gz | ||
url: https://pypi.io/packages/source/s/scipy/scipy-{{ version }}.tar.gz | ||
md5: 8987b9a3e3cd79218a0a423b21c8e4de | ||
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build: | ||
number: 200 | ||
# We lack openblas on Windows, and therefore can't build scipy there either currently. | ||
skip: true # [win] | ||
features: | ||
- blas_{{ variant }} | ||
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requirements: | ||
build: | ||
- gcc | ||
- python | ||
- cython | ||
- blas 1.1 {{ variant }} | ||
- openblas 0.2.18* | ||
- numpy x.x | ||
run: | ||
- libgcc | ||
- python | ||
- blas 1.1 {{ variant }} | ||
- openblas 0.2.18* | ||
- numpy x.x | ||
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test: | ||
requires: | ||
- nose | ||
imports: | ||
- scipy | ||
- scipy.integrate.vode | ||
- scipy.linalg._fblas | ||
- scipy.linalg._flapack | ||
- scipy.sparse.linalg.eigen.arpack._arpack | ||
- scipy.sparse.linalg.isolve._iterative | ||
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about: | ||
home: http://www.scipy.org/ | ||
license: BSD 3-Clause | ||
license_file: LICENSE.txt | ||
summary: Scientific Library for Python | ||
description: | | ||
SciPy is a Python-based ecosystem of open-source software for mathematics, | ||
science, and engineering. | ||
doc_url: http://www.scipy.org/docs.html | ||
dev_url: https://github.com/scipy/scipy | ||
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extra: | ||
recipe-maintainers: | ||
- jakirkham | ||
- msarahan |
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import sys | ||
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import scipy | ||
import scipy.cluster._hierarchy | ||
import scipy.cluster._vq | ||
import scipy.fftpack._fftpack | ||
import scipy.fftpack.convolve | ||
import scipy.integrate._dop | ||
import scipy.integrate._odepack | ||
import scipy.integrate._quadpack | ||
import scipy.integrate._test_multivariate | ||
import scipy.integrate._test_odeint_banded | ||
import scipy.integrate.lsoda | ||
import scipy.integrate.vode | ||
import scipy.interpolate._fitpack | ||
import scipy.interpolate._interpolate | ||
import scipy.interpolate._ppoly | ||
import scipy.interpolate.dfitpack | ||
import scipy.interpolate.interpnd | ||
import scipy.io.matlab.mio5_utils | ||
import scipy.io.matlab.mio_utils | ||
import scipy.io.matlab.streams | ||
import scipy.linalg._calc_lwork | ||
import scipy.linalg._decomp_update | ||
import scipy.linalg._fblas | ||
import scipy.linalg._flapack | ||
import scipy.linalg._flinalg | ||
import scipy.linalg._interpolative | ||
import scipy.linalg._solve_toeplitz | ||
import scipy.linalg.cython_blas | ||
import scipy.linalg.cython_lapack | ||
import scipy.ndimage._nd_image | ||
import scipy.ndimage._ni_label | ||
import scipy.odr.__odrpack | ||
import scipy.optimize._cobyla | ||
import scipy.optimize._group_columns | ||
import scipy.optimize._lbfgsb | ||
import scipy.optimize._lsq.givens_elimination | ||
import scipy.optimize._minpack | ||
import scipy.optimize._nnls | ||
import scipy.optimize._slsqp | ||
import scipy.optimize._zeros | ||
import scipy.optimize.minpack2 | ||
import scipy.optimize.moduleTNC | ||
import scipy.signal._max_len_seq_inner | ||
import scipy.signal._spectral | ||
import scipy.signal.sigtools | ||
import scipy.signal.spline | ||
import scipy.sparse._csparsetools | ||
import scipy.sparse._sparsetools | ||
import scipy.sparse.csgraph._min_spanning_tree | ||
import scipy.sparse.csgraph._reordering | ||
import scipy.sparse.csgraph._shortest_path | ||
import scipy.sparse.csgraph._tools | ||
import scipy.sparse.csgraph._traversal | ||
import scipy.sparse.linalg.dsolve._superlu | ||
import scipy.sparse.linalg.eigen.arpack._arpack | ||
import scipy.sparse.linalg.isolve._iterative | ||
import scipy.spatial._distance_wrap | ||
import scipy.spatial.ckdtree | ||
import scipy.spatial.qhull | ||
import scipy.special._ellip_harm_2 | ||
import scipy.special._ufuncs | ||
import scipy.special._ufuncs_cxx | ||
import scipy.special.specfun | ||
import scipy.stats._rank | ||
import scipy.stats.mvn | ||
import scipy.stats.statlib | ||
import scipy.stats.vonmises_cython | ||
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import scipy.stats | ||
import scipy.special | ||
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sys.exit(not scipy.test().wasSuccessful()) |