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# These hyperparameters, identified by David Warde-Farley via random search,
# obtain 1.08% on MNIST, nearly matching the 1.05% in Nitish Srivastava's
# Master's thesis.
#
# An important difference is that this uses only the first 50,000 examples
# and does early stopping on a validation set of the last 10,000 training
# points, whereas Nitish Srivastava's results trained on the entire training
# set for a given number of epochs. It is quite possible that re-training
# with these hyperparameters on the entire 60,000 using some alternate stopping
# criterion (matching the best training set likelihood of this job, for instance,

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"""Extract reference documentation from the NumPy source tree.

"""

import inspect
import textwrap
import re
import sys
import types

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#!/bin/sh

# Script to restore the last value for brightness upon ACPI wake.
#
# Hilariously, while you can write a new brightness to
#        /sys/class/backlight/intel_backlight/brightness, 
#
# to accurately determine the current brightness you must use
#        /sys/class/backlight/intel_backlight/actual_brightness, 

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import theano
import numpy

class CumSumOp(theano.Op):
    """Use as CumSumOp(axis)(input_arg)"""
    def __init__(self, axis=None):
        self.axis = axis
        
    def __eq__(self, other):
        return type(self) == type(other) and self.axis == other.axis

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"""
Reverses a hex dump (of the format shown in the Firefox cache).

The format is as follows:

<OFFSET>  <BYTE>  [<BYTE>  [<BYTE>  [...]]]  [render]

Where
    - <OFFSET> is 8 hex digits, possibly followed by a colon
    - each <BYTE> is (maximum 16 per line)

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import numpy as np
import matplotlib.pyplot as plt


def plot_filters(filters, shape, num_rows, num_cols):
    """
    Assumes filters are rows (so transpose it that way if necessary).

    matplotlib isn't the speediest horse in town, I wouldn't draw
    more than a few dozen this way if you need it to frequently update.

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"""
A proof-of-concept multi-threaded chunked NPY format reader.
"""
__author__ = "David Warde-Farley"
__credits__ = ["David Warde-Farley"]
__license__ = "3-clause BSD"
__email__ = 'd dot warde dot farley at gmail DOT com"

import threading
from numpy.lib.format import read_magic, read_array_header_1_0

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#!/bin/sh
# Run pyflakes on all changed .py files before commit.
#
# By David Warde-Farley, Feb 28, 2013 -- released under the 3-clause BSD license.
#
# To use, run this file from the script .git/hooks/pre-commit

FILES=`git diff --staged --name-status |grep '\.py$' |grep '^[AM]' |sed -e's/^[AM]\s\+//'`
ROOT=`git rev-parse --show-toplevel`
NUM_BAD_FILES=0

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"""Display Theano functions in the IPython notebook with pydotprint."""

__author__ = "David Warde-Farley"
__copyright__ = "Copyright 2012, Universite de Montreal"
__credits__ = ["David Warde-Farley"]
__license__ = "3-clause BSD"
__email__ = "wardefar@iro"
__maintainer__ = "David Warde-Farley"

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