npinto

--- configure	2011-03-23 18:17:28.000000000 -0700
+++ configure	2011-03-23 18:21:28.000000000 -0700
@@ -2864,7 +2864,7 @@
 				die "swig did not return version information"
 			fi
 			if [ `echo $_swig_version | cut -f 2 -d '.'` -ge 4 ] || \
-				[ `echo $_swig_version | cut -f 3 -d '.'` -ge 29 ]
+				[ `echo $_swig_version | cut -f 3 -d '.'` -ge 29 ] || [ `echo $_swig_version | cut -f 1 -d '.'` -ge 2 ]
 			then
 				echores "`${SWIG} -version 2>&1 | grep Version | cut -f 3 -d ' '`"

npinto

from math import sqrt
from joblib import Memory, Parallel, delayed

mem = Memory('tmp')
@mem.cache
def sqrt2(v):
    return sqrt(v)

print Parallel(n_jobs=4, verbose=True)(delayed(sqrt2)(i**2) for i in range(10))

npinto

#!/bin/bash

set -e
set -x

# -- if a session 'burn' already exists, re-attach
tmux ls | grep '^burn:' && tmux attach -d -t burn && exit 0

# -- otherwise create it
tmux new-session -d -s burn htop

npinto

diff -r 274adce935a2 nose/plugins/multiprocess.py
--- a/nose/plugins/multiprocess.py	Thu Jul 14 11:01:35 2011 -0500
+++ b/nose/plugins/multiprocess.py	Thu Jul 14 21:21:21 2011 -0400
@@ -33,9 +33,13 @@
 Controlling distribution
 ^^^^^^^^^^^^^^^^^^^^^^^^
 
-There are two context-level variables that you can use to control this default
+There are three context-level variables that you can use to control this default
 behavior.

npinto

diff --git a/osm/linux/os_linux.c b/osm/linux/os_linux.c
index cf30c4b..0c6fe51 100644
--- a/osm/linux/os_linux.c
+++ b/osm/linux/os_linux.c
@@ -260,7 +260,7 @@ void refresh_sd_flags(PVBUS_EXT vbus_ext)
 					struct block_device *bdev = bdget(MKDEV(major[i], minor));
 					if (bdev &&
 #if LINUX_VERSION_CODE >= KERNEL_VERSION(2,6,28)
-						blkdev_get(bdev, FMODE_READ)
+						blkdev_get(bdev, FMODE_READ, NULL)

npinto

# Example of a BaseEstimator implemented with Theano.
# This could use the GPU, except that
# a) linear regression isn't really worth it, and
# b) the multi_hinge_margin Op is only implemented for the CPU.
#
import numpy as np
try:
    import theano
    from theano import tensor
except ImportError:

npinto

import cairo as C
from math import pi

width, height = 400, 250
output = "circle.png"

surf = C.ImageSurface(C.FORMAT_RGB24,width,height)
ctx = C.Context(surf)

# fill everyting with white

npinto

#!/usr/bin/env python

import numpy as np
from scikits.learn import linear_model
from dldata import hongmajaj  # Hong & Majaj Neuronal Datasets module

# -- random number generator
rng = np.random.RandomState(42)

# -- dataset object

npinto

# -- Toolkit
(cd /tmp && wget http://developer.download.nvidia.com/compute/cuda/4_1/rel/toolkit/cudatoolkit_4.1.28_linux_64_ubuntu11.04.run)
(cd /tmp && sh cudatoolkit_4.1.28_linux_64_ubuntu11.04.run --noexec --target ./cudatoolkit)
(cd /tmp/cudatoolkit && ./install-linux.pl  auto)

# -- SDK
(cd /tmp && wget http://developer.download.nvidia.com/compute/cuda/4_1/rel/sdk/gpucomputingsdk_4.1.28_linux.run)
(cd /tmp && sh gpucomputingsdk_4.1.28_linux.run --noexec --target ./cudasdk)
(cd /tmp/cudasdk && ./install-sdk-linux.pl --prefix=/usr/local/cuda/sdk --cudaprefix=/usr/local/cuda)

npinto

#!/bin/bash

PJT=$HOME/venv/hongmajaj_ht_vs_neurons

set -e
set -x

test ! -d ${PJT}
mkdir -p ${PJT}
virtualenv ${PJT}