l/pandas: Added pandas-0.16.2.

l/pandas/pandas-0.16.2.tar.gz.sha1

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+c30ce30495e2c351cb8181d36dac5122dc14d440  pandas-0.16.2.tar.gz

l/pandas/pandas.SlackBuild

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+#!/bin/bash
+# Build script for Slackware
+# Copyright (C) 2015 Damien Goutte-Gattat
+#
+# Redistribution and use of this script, with or without modifications,
+# is permitted provided that the following conditions are met:
+#
+# 1. Redistributions of this script must retain the above copyright
+#    notice, this list of conditions and the following disclaimer.
+#
+# THIS SOFTWARE IS PROVIDED BY THE AUTHOR AS IS'' AND ANY EXPRESS OR
+# IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+# DISCLAIMED. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT,
+# INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
+# HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
+# STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
+# IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+# POSSIBILITY OF SUCH DAMAGE.
+#
+# Contact: Damien Goutte-Gattat <dgouttegattat@incenp.org>
+#
+# Latest pandas sourcecode is available at: <http://pandas.pydata.org/>.
+#
+# Depends: l/numpy, l/python-dateutil, l/pytz
+# Recommends: l/numexpr, l/python-bottleneck, l/scipy, l/pytables
+# Recommends: l/matplotlib
+
+# Source package infos
+NAMESRC=${NAMESRC:-pandas}
+VERSION=${VERSION:-0.16.2}
+ARCHIVE=${ARCHIVE:-$NAMESRC-$VERSION.tar.gz}
+WGET=${WGET:-https://pypi.python.org/packages/source/p/pandas/$ARCHIVE}
+DOC_URL=${DOC_URL:-http://pandas.pydata.org/pandas-docs/version/$VERSION/pandas.pdf}
+
+# Build infos
+NAMEPKG=${NAMEPKG:-pandas}
+BUILD=${BUILD:-1GGD}
+ARCH=${ARCH:-$(uname -m | sed 's/^i.86$/i486/;s/^arm.*/arm/')}
+JOBS=${JOBS:-1}
+EXT=${EXT:-txz}
+
+# Directories
+TMP=${TMP:-/tmp}
+OUT=${OUT:-$TMP/build}
+PKG=${PKG:-$OUT/$NAMEPKG}
+CWD=$(pwd)
+
+set -e  # Quit if a command returns non-zero
+
+# Sanity checks
+if [ $UID -eq 0 ]; then
+    echo "You should NOT run this script as ROOT!"
+    exit 1
+fi
+if [ ! -d $TMP ]; then
+    echo "$TMP does not exists or is not a directory!"
+    exit 1
+fi
+
+# Compilation flags
+LIBDIRSUFFIX=""
+case "$ARCH" in
+i?86)
+    CPUOPT="-O2 -march=$ARCH -mtune=i686"
+    ;;
+x86_64)
+    CPUOPT="-O2 -fPIC"
+    LIBDIRSUFFIX="64"
+    ;;
+*)
+    CPUOPT="-O2"
+    ;;
+esac
+
+# Get and verify the source archive
+if [ ! -r $ARCHIVE ]; then
+    wget -c -O $ARCHIVE.part "$WGET"
+    mv $ARCHIVE.part $ARCHIVE
+fi
+sha1sum -c $ARCHIVE.sha1
+NAME=$(tar ft $ARCHIVE | head -n 1 | cut -d / -f 1)
+
+# Get the documentation
+if [ ! -r pandas.pdf ]; then
+    wget -c -O pandas.pdf.part "$DOC_URL"
+    mv pandas.pdf.part pandas.pdf
+fi
+
+# Compile
+cd $TMP
+echo "Building $ARCHIVE..."
+tar xf $CWD/$ARCHIVE
+cd $NAME
+python setup.py build
+python setup.py install --root=$PKG
+
+# Install the documentation
+mkdir -p $PKG/usr/doc/$NAME
+install -m 644 LICENSE PKG-INFO RELEASE.md $CWD/pandas.pdf $PKG/usr/doc/$NAME
+
+# Copy slack-desc file
+install -D -m 644 $CWD/slack-desc $PKG/install/slack-desc
+
+# Package the tree
+cd $PKG
+mkdir -p $OUT
+PACKAGING="
+chown root:root . -R
+/sbin/makepkg -l y -c n $OUT/$NAMEPKG-$VERSION-$ARCH-$BUILD.$EXT
+rm -rf $PKG
+rm -rf $TMP/$NAME
+"
+if type -p fakeroot ; then
+    echo "$PACKAGING" | fakeroot
+else
+    su -c "$PACKAGING"
+fi

l/pandas/slack-desc

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+      |-----handy-ruler-----------------------------------------------------|
+pandas: pandas (Python structures for data analysis)
+pandas: 
+pandas: Pandas is a Python package providing fast, flexible, and expressive
+pandas: data structures designed to make working with structured (tabular,
+pandas: multidimensional, potentially heterogeneous) and time series data
+pandas: both easy and intuitive. It aims to be the fundamental high-level
+pandas: building block for doing practical real world data analysis in
+pandas: Python.
+pandas: 
+pandas: 
+pandas: