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Commit 9032f58

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phirovphirov
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add scipy-3
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‎scipy/3/Dockerfile

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# consult: https://docs.docker.com/engine/userguide/eng-image/dockerfile_best-practices
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# Forked: https://github.com/CHECK24/docker.alpine.scipy
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FROM phirov/pandas:0.19-3
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MAINTAINER phirov@163.com
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RUN ln -sf /usr/share/zoneinfo/Etc/UTC /etc/localtime
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#RUN echo "http://nl.alpinelinux.org/alpine/v3.4/main" > /etc/apk/repositories
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COPY libs/* /tmp/
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RUN apk update && \
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apk add --no-cache --virtual .build-deps \
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g++ \
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ca-certificates \
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openntpd \
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build-base \
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musl-dev \
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gfortran \
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libgfortran && \
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# Build BLAS and LAPACK
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source /tmp/blas.sh && \
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source /tmp/lapack.sh && \
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# Install cython, numpy, pandas, scipy
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export BLAS=~/src/BLAS/libfblas.a && \
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export LAPACK=~/src/lapack-3.5.0/liblapack.a && \
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#pip3 install numpy==1.12.0 cython==0.25.2 && \
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#pip3 install pandas==0.19.2 && \
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pip3 install scipy==0.18.1 && \
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# Clean up
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mv ~/src/BLAS/libfblas.a /tmp/ && \
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mv ~/src/lapack-3.5.0/liblapack.a /tmp/ && \
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rm -rf ~/src && \
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mkdir -p ~/src/BLAS ~/src/lapack-3.5.0 && \
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mv /tmp/libfblas.a ~/src/BLAS/libfblas.a && \
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mv /tmp/liblapack.a ~/src/lapack-3.5.0/liblapack.a && \
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rm -rf /tmp/* && \
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rm -rf ~/.cache/pip && \
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# Remove all the extra build stuff
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apk del build-base "*-dev" && \
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apk del .build-deps
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‎scipy/3/README.md

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# Alpine based Dockerimage for Python with SciPy-stack
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This image is base on [CHECK24](https://github.com/CHECK24/docker.alpine.scipy)
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or [catholabs](https://github.com/catholabs/docker-alpine)
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This repository contains a Dockerfile for building a python ready image
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that is running based on Alpine 3.4 and Python 2.7
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It provides the following python libaries
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- scipy (0.18.1)
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To build the image execute the following command:
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```
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./deploy.sh
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```
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To test scipy you've to enter the following command:
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```
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./debug.sh
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```
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‎scipy/3/libs/blas.sh

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#!/usr/bin/env sh
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mkdir -p ~/src/
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cd ~/src/
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mv /tmp/blas.tgz .
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tar xzf blas.tgz
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cd BLAS
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gfortran -O3 -std=legacy -m64 -fno-second-underscore -fPIC -c *.f
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ar r libfblas.a *.o
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ranlib libfblas.a
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rm -rf *.o
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export BLAS=~/src/BLAS/libfblas.a

‎scipy/3/libs/blas.tgz

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‎scipy/3/libs/lapack.sh

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#!/usr/bin/env sh
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mkdir -p ~/src/
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cd ~/src/
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mv /tmp/lapack.tgz .
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tar xzf lapack.tgz
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cd lapack-3.5.0/
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cp /tmp/make.inc .
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make lapacklib -j$(cat /proc/cpuinfo | grep 'processor' | wc -l)
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make clean
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export LAPACK=~/src/lapack-3.5.0/liblapack.a

‎scipy/3/libs/lapack.tgz

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‎scipy/3/libs/make.inc

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####################################################################
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# LAPACK make include file. #
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# LAPACK, Version 3.5.0 #
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# November 2013 #
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####################################################################
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#
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SHELL = /bin/sh
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#
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# Modify the FORTRAN and OPTS definitions to refer to the
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# compiler and desired compiler options for your machine. NOOPT
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# refers to the compiler options desired when NO OPTIMIZATION is
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# selected. Define LOADER and LOADOPTS to refer to the loader and
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# desired load options for your machine.
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#
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FORTRAN = gfortran
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OPTS = -O2 -fPIC
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DRVOPTS = $(OPTS)
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NOOPT = -O0 -fPIC
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LOADER = gfortran
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LOADOPTS =
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#
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# Timer for the SECOND and DSECND routines
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#
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# Default : SECOND and DSECND will use a call to the EXTERNAL FUNCTION ETIME
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#TIMER = EXT_ETIME
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# For RS6K : SECOND and DSECND will use a call to the EXTERNAL FUNCTION ETIME_
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# TIMER = EXT_ETIME_
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# For gfortran compiler: SECOND and DSECND will use a call to the INTERNAL FUNCTION ETIME
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TIMER = INT_ETIME
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# If your Fortran compiler does not provide etime (like Nag Fortran Compiler, etc...)
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# SECOND and DSECND will use a call to the INTERNAL FUNCTION CPU_TIME
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# TIMER = INT_CPU_TIME
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# If neither of this works...you can use the NONE value... In that case, SECOND and DSECND will always return 0
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# TIMER = NONE
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#
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# Configuration LAPACKE: Native C interface to LAPACK
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# To generate LAPACKE library: type 'make lapackelib'
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# Configuration file: turned off (default)
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# Complex types: C99 (default)
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# Name pattern: mixed case (default)
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# (64-bit) Data model: LP64 (default)
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#
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# CC is the C compiler, normally invoked with options CFLAGS.
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#
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CC = gcc
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CFLAGS = -O3
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#
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# LAPACKE has also the interface to some routines from tmglib,
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# if LAPACKE_WITH_TMG is selected, we need to add those routines to LAPACKE
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#LAPACKE_WITH_TMG = Yes
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#
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# The archiver and the flag(s) to use when building archive (library)
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# If you system has no ranlib, set RANLIB = echo.
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#
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ARCH = ar
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ARCHFLAGS= cr
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RANLIB = ranlib
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#
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# Location of the extended-precision BLAS (XBLAS) Fortran library
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# used for building and testing extended-precision routines. The
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# relevant routines will be compiled and XBLAS will be linked only if
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# USEXBLAS is defined.
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#
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# USEXBLAS = Yes
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XBLASLIB =
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# XBLASLIB = -lxblas
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#
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# The location of the libraries to which you will link. (The
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# machine-specific, optimized BLAS library should be used whenever
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# possible.)
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#
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BLASLIB = ../../librefblas.a
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LAPACKLIB = liblapack.a
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TMGLIB = libtmglib.a
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LAPACKELIB = liblapacke.a

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