ebenolson

FROM ubuntu:trusty

########################################
#
# openslide 3.4.1 image based on Ubuntu:trusty
#
#######################################

# Set Locale

ebenolson

ebenolson

import sys
from pcbnew import *

infile = sys.argv[1]
outdir = sys.argv[2]

inplugin = IO_MGR.PluginFind(IO_MGR.GuessPluginTypeFromLibPath(infile))
outplugin = IO_MGR.PluginFind(IO_MGR.GuessPluginTypeFromLibPath(outdir))

for name in inplugin.FootprintEnumerate(infile):

ebenolson

#!/bin/bash
if [ ! -f convert_mod.py ]; then
    wget https://gist.github.com/ebenolson/07af5bf0919dfa7f5585577ad073c120/raw/fc15e516ff21a503833d9157f52de9334139ce7b/convert_mod.py
fi

docker run -it -v `pwd`:`pwd`:rw -w `pwd` ebenolson/kicad:5.0.0 bash -c "python convert_mod.py $1 $2"

sudo chown -R $USER $2

ebenolson

javascript:(function(){
function copyStringToClipboard (str) {
   var el = document.createElement('textarea');
   el.value = str;
   el.setAttribute('readonly', '');
   el.style = {position: 'absolute', left: '-9999px'};
   document.body.appendChild(el);
   el.select();
   document.execCommand('copy');
   document.body.removeChild(el);

ebenolson

"""
Functions to create network diagrams from a list of Layers.

Examples:

    Draw a minimal diagram to a pdf file:
        layers = lasagne.layers.get_all_layers(output_layer)
        draw_to_file(layers, 'network.pdf', output_shape=False)

    Draw a verbose diagram in an IPython notebook:

ebenolson

# Context manager to generate batches in the background via a process pool
# Usage:
#
# def batch(seed):
#    .... # generate minibatch
#    return minibatch
#
# with BatchGenCM(batch) as bg:
#    minibatch = next(bg)
#    .... # do something with minibatch

ebenolson

from lasagne.layers import InputLayer
from lasagne.layers import DenseLayer
from lasagne.layers import ConcatLayer
from lasagne.layers import NonlinearityLayer
from lasagne.layers import GlobalPoolLayer
from lasagne.layers.dnn import Conv2DDNNLayer as ConvLayer
from lasagne.layers.dnn import MaxPool2DDNNLayer as PoolLayerDNN
from lasagne.layers import MaxPool2DLayer as PoolLayer
from lasagne.layers import LocalResponseNormalization2DLayer as LRNLayer
from lasagne.nonlinearities import softmax, linear

ebenolson

choose-mirror-bin mirror/http/proxy string
d-i base-installer/kernel/override-image string linux-server
d-i clock-setup/utc boolean true
d-i clock-setup/utc-auto boolean true
d-i finish-install/reboot_in_progress note
d-i grub-installer/only_debian boolean true
d-i grub-installer/with_other_os boolean true
d-i partman-auto-lvm/guided_size string max
d-i partman-auto/choose_recipe select atomic
d-i partman-auto/method string lvm

ebenolson